<div class="tc-more-sidebar">
<<tabs "[all[shadows+tiddlers]tag[$:/tags/WikiSideBar]!has[draft.of]]" "$:/core/ui/SideBar/More" "$:/state/tab/wikisidebar" "tc-vertical">>
</div>
<div class="tc-advanced-search">
<<tabs "[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]" "$:/core/ui/AdvancedSearch/System">>
</div>
{
"tiddlers": {
"$:/Acknowledgements": {
"title": "$:/Acknowledgements",
"text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
},
"$:/core/copyright.txt": {
"title": "$:/core/copyright.txt",
"type": "text/plain",
"text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2017, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
},
"$:/core/icon": {
"title": "$:/core/icon",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path d=\"M64 0l54.56 32v64L64 128 9.44 96V32L64 0zm21.127 95.408c-3.578-.103-5.15-.094-6.974-3.152l-1.42.042c-1.653-.075-.964-.04-2.067-.097-1.844-.07-1.548-1.86-1.873-2.8-.52-3.202.687-6.43.65-9.632-.014-1.14-1.593-5.17-2.157-6.61-1.768.34-3.546.406-5.34.497-4.134-.01-8.24-.527-12.317-1.183-.8 3.35-3.16 8.036-1.21 11.44 2.37 3.52 4.03 4.495 6.61 4.707 2.572.212 3.16 3.18 2.53 4.242-.55.73-1.52.864-2.346 1.04l-1.65.08c-1.296-.046-2.455-.404-3.61-.955-1.93-1.097-3.925-3.383-5.406-5.024.345.658.55 1.938.24 2.53-.878 1.27-4.665 1.26-6.4.47-1.97-.89-6.73-7.162-7.468-11.86 1.96-3.78 4.812-7.07 6.255-11.186-3.146-2.05-4.83-5.384-4.61-9.16l.08-.44c-3.097.59-1.49.37-4.82.628-10.608-.032-19.935-7.37-14.68-18.774.34-.673.664-1.287 1.243-.994.466.237.4 1.18.166 2.227-3.005 13.627 11.67 13.732 20.69 11.21.89-.25 2.67-1.936 3.905-2.495 2.016-.91 4.205-1.282 6.376-1.55 5.4-.63 11.893 2.276 15.19 2.37 3.3.096 7.99-.805 10.87-.615 2.09.098 4.143.483 6.16 1.03 1.306-6.49 1.4-11.27 4.492-12.38 1.814.293 3.213 2.818 4.25 4.167 2.112-.086 4.12.46 6.115 1.066 3.61-.522 6.642-2.593 9.833-4.203-3.234 2.69-3.673 7.075-3.303 11.127.138 2.103-.444 4.386-1.164 6.54-1.348 3.507-3.95 7.204-6.97 7.014-1.14-.036-1.805-.695-2.653-1.4-.164 1.427-.81 2.7-1.434 3.96-1.44 2.797-5.203 4.03-8.687 7.016-3.484 2.985 1.114 13.65 2.23 15.594 1.114 1.94 4.226 2.652 3.02 4.406-.37.58-.936.785-1.54 1.01l-.82.11zm-40.097-8.85l.553.14c.694-.27 2.09.15 2.83.353-1.363-1.31-3.417-3.24-4.897-4.46-.485-1.47-.278-2.96-.174-4.46l.02-.123c-.582 1.205-1.322 2.376-1.72 3.645-.465 1.71 2.07 3.557 3.052 4.615l.336.3z\" fill-rule=\"evenodd\"/></svg>"
},
"$:/core/images/advanced-search-button": {
"title": "$:/core/images/advanced-search-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-advanced-search-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M74.5651535,87.9848361 C66.9581537,93.0488876 57.8237115,96 48,96 C21.490332,96 0,74.509668 0,48 C0,21.490332 21.490332,0 48,0 C74.509668,0 96,21.490332 96,48 C96,57.8541369 93.0305793,67.0147285 87.9377231,74.6357895 L122.284919,108.982985 C125.978897,112.676963 125.973757,118.65366 122.284271,122.343146 C118.593975,126.033442 112.613238,126.032921 108.92411,122.343793 L74.5651535,87.9848361 Z M48,80 C65.673112,80 80,65.673112 80,48 C80,30.326888 65.673112,16 48,16 C30.326888,16 16,30.326888 16,48 C16,65.673112 30.326888,80 48,80 Z\"></path>\n <circle cx=\"48\" cy=\"48\" r=\"8\"></circle>\n <circle cx=\"28\" cy=\"48\" r=\"8\"></circle>\n <circle cx=\"68\" cy=\"48\" r=\"8\"></circle>\n </g>\n</svg>"
},
"$:/core/images/auto-height": {
"title": "$:/core/images/auto-height",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-auto-height tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <path d=\"M67.9867828,114.356363 L67.9579626,99.8785426 C67.9550688,98.4248183 67.1636987,97.087107 65.8909901,96.3845863 L49.9251455,87.5716209 L47.992126,95.0735397 L79.8995411,95.0735397 C84.1215894,95.0735397 85.4638131,89.3810359 81.686497,87.4948823 L49.7971476,71.5713518 L48.0101917,79.1500092 L79.992126,79.1500092 C84.2093753,79.1500092 85.5558421,73.4676733 81.7869993,71.5753162 L49.805065,55.517008 L48.0101916,63.0917009 L79.9921259,63.0917015 C84.2035118,63.0917016 85.5551434,57.4217887 81.7966702,55.5218807 L65.7625147,47.4166161 L67.9579705,50.9864368 L67.9579705,35.6148245 L77.1715737,44.8284272 C78.7336709,46.3905243 81.2663308,46.3905243 82.8284279,44.8284271 C84.390525,43.2663299 84.390525,40.7336699 82.8284278,39.1715728 L66.8284271,23.1715728 C65.2663299,21.6094757 62.73367,21.6094757 61.1715729,23.1715729 L45.1715729,39.1715729 C43.6094757,40.73367 43.6094757,43.26633 45.1715729,44.8284271 C46.73367,46.3905243 49.26633,46.3905243 50.8284271,44.8284271 L59.9579705,35.6988837 L59.9579705,50.9864368 C59.9579705,52.495201 60.806922,53.8755997 62.1534263,54.5562576 L78.1875818,62.6615223 L79.9921261,55.0917015 L48.0101917,55.0917009 C43.7929424,55.0917008 42.4464755,60.7740368 46.2153183,62.6663939 L78.1972526,78.7247021 L79.992126,71.1500092 L48.0101917,71.1500092 C43.7881433,71.1500092 42.4459197,76.842513 46.2232358,78.7286665 L78.1125852,94.6521971 L79.8995411,87.0735397 L47.992126,87.0735397 C43.8588276,87.0735397 42.4404876,92.5780219 46.0591064,94.5754586 L62.024951,103.388424 L59.9579785,99.8944677 L59.9867142,114.32986 L50.8284271,105.171573 C49.26633,103.609476 46.73367,103.609476 45.1715729,105.171573 C43.6094757,106.73367 43.6094757,109.26633 45.1715729,110.828427 L61.1715729,126.828427 C62.73367,128.390524 65.2663299,128.390524 66.8284271,126.828427 L82.8284278,110.828427 C84.390525,109.26633 84.390525,106.73367 82.8284279,105.171573 C81.2663308,103.609476 78.7336709,103.609476 77.1715737,105.171573 L67.9867828,114.356363 L67.9867828,114.356363 Z M16,20 L112,20 C114.209139,20 116,18.209139 116,16 C116,13.790861 114.209139,12 112,12 L16,12 C13.790861,12 12,13.790861 12,16 C12,18.209139 13.790861,20 16,20 L16,20 Z\"></path>\n</svg>"
},
"$:/core/images/blank": {
"title": "$:/core/images/blank",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-blank tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\"></svg>"
},
"$:/core/images/bold": {
"title": "$:/core/images/bold",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-bold tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M41.1456583,51.8095238 L41.1456583,21.8711485 L67.4985994,21.8711485 C70.0084159,21.8711485 72.4285598,22.0802967 74.7591036,22.4985994 C77.0896475,22.9169022 79.1512515,23.6638602 80.9439776,24.7394958 C82.7367036,25.8151314 84.170863,27.3090474 85.2464986,29.2212885 C86.3221342,31.1335296 86.859944,33.5835518 86.859944,36.5714286 C86.859944,41.9496067 85.2465147,45.8337882 82.0196078,48.2240896 C78.792701,50.614391 74.6694929,51.8095238 69.6498599,51.8095238 L41.1456583,51.8095238 Z M13,0 L13,128 L75.0280112,128 C80.7647346,128 86.3519803,127.28292 91.789916,125.848739 C97.2278517,124.414559 102.068139,122.203563 106.310924,119.215686 C110.553709,116.22781 113.929959,112.373506 116.439776,107.652661 C118.949592,102.931816 120.204482,97.3445701 120.204482,90.8907563 C120.204482,82.8832466 118.262391,76.0411115 114.378151,70.3641457 C110.493911,64.6871798 104.607883,60.7133634 96.719888,58.442577 C102.456611,55.6937304 106.788968,52.1680887 109.717087,47.8655462 C112.645206,43.5630037 114.109244,38.1849062 114.109244,31.7310924 C114.109244,25.7553389 113.123259,20.7357813 111.151261,16.6722689 C109.179262,12.6087565 106.400578,9.35201972 102.815126,6.90196078 C99.2296739,4.45190185 94.927196,2.68908101 89.907563,1.61344538 C84.8879301,0.537809748 79.3305627,0 73.2352941,0 L13,0 Z M41.1456583,106.128852 L41.1456583,70.9915966 L71.8011204,70.9915966 C77.896389,70.9915966 82.7964334,72.3958776 86.5014006,75.2044818 C90.2063677,78.0130859 92.0588235,82.7039821 92.0588235,89.2773109 C92.0588235,92.6237329 91.4911355,95.3725383 90.3557423,97.5238095 C89.2203491,99.6750808 87.6965548,101.378145 85.7843137,102.633053 C83.8720726,103.887961 81.661077,104.784311 79.1512605,105.322129 C76.641444,105.859947 74.0121519,106.128852 71.2633053,106.128852 L41.1456583,106.128852 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/cancel-button": {
"title": "$:/core/images/cancel-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-cancel-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n\t<g fill-rule=\"evenodd\">\n\t <path d=\"M64,76.3137085 L47.0294734,93.2842351 C43.9038742,96.4098343 38.8399231,96.4084656 35.7157288,93.2842712 C32.5978915,90.166434 32.5915506,85.0947409 35.7157649,81.9705266 L52.6862915,65 L35.7157649,48.0294734 C32.5901657,44.9038742 32.5915344,39.8399231 35.7157288,36.7157288 C38.833566,33.5978915 43.9052591,33.5915506 47.0294734,36.7157649 L64,53.6862915 L80.9705266,36.7157649 C84.0961258,33.5901657 89.1600769,33.5915344 92.2842712,36.7157288 C95.4021085,39.833566 95.4084494,44.9052591 92.2842351,48.0294734 L75.3137085,65 L92.2842351,81.9705266 C95.4098343,85.0961258 95.4084656,90.1600769 92.2842712,93.2842712 C89.166434,96.4021085 84.0947409,96.4084494 80.9705266,93.2842351 L64,76.3137085 Z M64,129 C99.346224,129 128,100.346224 128,65 C128,29.653776 99.346224,1 64,1 C28.653776,1 1.13686838e-13,29.653776 1.13686838e-13,65 C1.13686838e-13,100.346224 28.653776,129 64,129 Z M64,113 C90.509668,113 112,91.509668 112,65 C112,38.490332 90.509668,17 64,17 C37.490332,17 16,38.490332 16,65 C16,91.509668 37.490332,113 64,113 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/chevron-down": {
"title": "$:/core/images/chevron-down",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-down tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n\t<g fill-rule=\"evenodd\" transform=\"translate(64.000000, 40.500000) rotate(-270.000000) translate(-64.000000, -40.500000) translate(-22.500000, -26.500000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n\t</g>\n</svg>"
},
"$:/core/images/chevron-left": {
"title": "$:/core/images/chevron-left",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-left tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\" version=\"1.1\">\n <g fill-rule=\"evenodd\" transform=\"translate(92.500000, 64.000000) rotate(-180.000000) translate(-92.500000, -64.000000) translate(6.000000, -3.000000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n </g>\n</svg>"
},
"$:/core/images/chevron-right": {
"title": "$:/core/images/chevron-right",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-right tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\" transform=\"translate(-48.000000, -3.000000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n </g>\n</svg>"
},
"$:/core/images/chevron-up": {
"title": "$:/core/images/chevron-up",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-up tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n\t<g fill-rule=\"evenodd\" transform=\"translate(64.000000, 89.500000) rotate(-90.000000) translate(-64.000000, -89.500000) translate(-22.500000, 22.500000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n\t</g>\n</svg>"
},
"$:/core/images/clone-button": {
"title": "$:/core/images/clone-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-clone-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M32.2650915,96 L32.2650915,120.002359 C32.2650915,124.419334 35.8432884,128 40.2627323,128 L120.002359,128 C124.419334,128 128,124.421803 128,120.002359 L128,40.2627323 C128,35.8457573 124.421803,32.2650915 120.002359,32.2650915 L96,32.2650915 L96,48 L108.858899,48 C110.519357,48 111.853018,49.3405131 111.853018,50.9941198 L111.853018,108.858899 C111.853018,110.519357 110.512505,111.853018 108.858899,111.853018 L50.9941198,111.853018 C49.333661,111.853018 48,110.512505 48,108.858899 L48,96 L32.2650915,96 Z\"></path>\n <path d=\"M40,56 L32.0070969,56 C27.5881712,56 24,52.418278 24,48 C24,43.5907123 27.5848994,40 32.0070969,40 L40,40 L40,32.0070969 C40,27.5881712 43.581722,24 48,24 C52.4092877,24 56,27.5848994 56,32.0070969 L56,40 L63.9929031,40 C68.4118288,40 72,43.581722 72,48 C72,52.4092877 68.4151006,56 63.9929031,56 L56,56 L56,63.9929031 C56,68.4118288 52.418278,72 48,72 C43.5907123,72 40,68.4151006 40,63.9929031 L40,56 Z M7.9992458,0 C3.58138434,0 0,3.5881049 0,7.9992458 L0,88.0007542 C0,92.4186157 3.5881049,96 7.9992458,96 L88.0007542,96 C92.4186157,96 96,92.4118951 96,88.0007542 L96,7.9992458 C96,3.58138434 92.4118951,0 88.0007542,0 L7.9992458,0 Z M19.0010118,16 C17.3435988,16 16,17.336731 16,19.0010118 L16,76.9989882 C16,78.6564012 17.336731,80 19.0010118,80 L76.9989882,80 C78.6564012,80 80,78.663269 80,76.9989882 L80,19.0010118 C80,17.3435988 78.663269,16 76.9989882,16 L19.0010118,16 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/close-all-button": {
"title": "$:/core/images/close-all-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-close-all-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\" transform=\"translate(-23.000000, -23.000000)\">\n <path d=\"M43,131 L22.9976794,131 C18.5827987,131 15,127.418278 15,123 C15,118.590712 18.5806831,115 22.9976794,115 L43,115 L43,94.9976794 C43,90.5827987 46.581722,87 51,87 C55.4092877,87 59,90.5806831 59,94.9976794 L59,115 L79.0023206,115 C83.4172013,115 87,118.581722 87,123 C87,127.409288 83.4193169,131 79.0023206,131 L59,131 L59,151.002321 C59,155.417201 55.418278,159 51,159 C46.5907123,159 43,155.419317 43,151.002321 L43,131 Z\" transform=\"translate(51.000000, 123.000000) rotate(-45.000000) translate(-51.000000, -123.000000) \"></path>\n <path d=\"M43,59 L22.9976794,59 C18.5827987,59 15,55.418278 15,51 C15,46.5907123 18.5806831,43 22.9976794,43 L43,43 L43,22.9976794 C43,18.5827987 46.581722,15 51,15 C55.4092877,15 59,18.5806831 59,22.9976794 L59,43 L79.0023206,43 C83.4172013,43 87,46.581722 87,51 C87,55.4092877 83.4193169,59 79.0023206,59 L59,59 L59,79.0023206 C59,83.4172013 55.418278,87 51,87 C46.5907123,87 43,83.4193169 43,79.0023206 L43,59 Z\" transform=\"translate(51.000000, 51.000000) rotate(-45.000000) translate(-51.000000, -51.000000) \"></path>\n <path d=\"M115,59 L94.9976794,59 C90.5827987,59 87,55.418278 87,51 C87,46.5907123 90.5806831,43 94.9976794,43 L115,43 L115,22.9976794 C115,18.5827987 118.581722,15 123,15 C127.409288,15 131,18.5806831 131,22.9976794 L131,43 L151.002321,43 C155.417201,43 159,46.581722 159,51 C159,55.4092877 155.419317,59 151.002321,59 L131,59 L131,79.0023206 C131,83.4172013 127.418278,87 123,87 C118.590712,87 115,83.4193169 115,79.0023206 L115,59 Z\" transform=\"translate(123.000000, 51.000000) rotate(-45.000000) translate(-123.000000, -51.000000) \"></path>\n <path d=\"M115,131 L94.9976794,131 C90.5827987,131 87,127.418278 87,123 C87,118.590712 90.5806831,115 94.9976794,115 L115,115 L115,94.9976794 C115,90.5827987 118.581722,87 123,87 C127.409288,87 131,90.5806831 131,94.9976794 L131,115 L151.002321,115 C155.417201,115 159,118.581722 159,123 C159,127.409288 155.419317,131 151.002321,131 L131,131 L131,151.002321 C131,155.417201 127.418278,159 123,159 C118.590712,159 115,155.419317 115,151.002321 L115,131 Z\" transform=\"translate(123.000000, 123.000000) rotate(-45.000000) translate(-123.000000, -123.000000) \"></path>\n </g>\n</svg>"
},
"$:/core/images/close-button": {
"title": "$:/core/images/close-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-close-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M65.0864256,75.4091629 L14.9727349,125.522854 C11.8515951,128.643993 6.78104858,128.64922 3.65685425,125.525026 C0.539017023,122.407189 0.5336324,117.334539 3.65902635,114.209145 L53.7727171,64.0954544 L3.65902635,13.9817637 C0.537886594,10.8606239 0.532659916,5.79007744 3.65685425,2.6658831 C6.77469148,-0.451954124 11.8473409,-0.457338747 14.9727349,2.66805521 L65.0864256,52.7817459 L115.200116,2.66805521 C118.321256,-0.453084553 123.391803,-0.458311231 126.515997,2.6658831 C129.633834,5.78372033 129.639219,10.8563698 126.513825,13.9817637 L76.4001341,64.0954544 L126.513825,114.209145 C129.634965,117.330285 129.640191,122.400831 126.515997,125.525026 C123.39816,128.642863 118.32551,128.648248 115.200116,125.522854 L65.0864256,75.4091629 L65.0864256,75.4091629 Z\"></path>\n </g>\n</svg>\n"
},
"$:/core/images/close-others-button": {
"title": "$:/core/images/close-others-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-close-others-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M64,128 C99.346224,128 128,99.346224 128,64 C128,28.653776 99.346224,0 64,0 C28.653776,0 0,28.653776 0,64 C0,99.346224 28.653776,128 64,128 Z M64,112 C90.509668,112 112,90.509668 112,64 C112,37.490332 90.509668,16 64,16 C37.490332,16 16,37.490332 16,64 C16,90.509668 37.490332,112 64,112 Z M64,96 C81.673112,96 96,81.673112 96,64 C96,46.326888 81.673112,32 64,32 C46.326888,32 32,46.326888 32,64 C32,81.673112 46.326888,96 64,96 Z M64,80 C72.836556,80 80,72.836556 80,64 C80,55.163444 72.836556,48 64,48 C55.163444,48 48,55.163444 48,64 C48,72.836556 55.163444,80 64,80 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/copy-clipboard": {
"title": "$:/core/images/copy-clipboard",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-copy-clipboard tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n\t<g fill-rule=\"evenodd\">\n\t\t<rect x=\"40\" y=\"40\" width=\"33\" height=\"8\" rx=\"4\"></rect>\n\t\t<rect x=\"40\" y=\"82\" width=\"17\" height=\"8\" rx=\"4\"></rect>\n\t\t<rect x=\"40\" y=\"54\" width=\"17\" height=\"8\" rx=\"4\"></rect>\n\t\t<rect x=\"40\" y=\"96\" width=\"33\" height=\"8\" rx=\"4\"></rect>\n\t\t<rect x=\"40\" y=\"68\" width=\"12\" height=\"8\" rx=\"4\"></rect>\n\t\t<path d=\"M40,16 L23.9992458,16 C19.5813843,16 16,19.5907123 16,24 C16,24.0016363 16.0000005,24.0032725 16.0000015,24.0049086 C16.0000005,24.0065441 16,24.0081803 16,24.0098166 L16,119.990183 C16,119.99182 16.0000005,119.993456 16.0000015,119.995092 C16.0000005,119.996727 16,119.998364 16,120 C16,124.409288 19.5813843,128 23.9992458,128 L104.000754,128 C106.205061,128 108.203844,127.105595 109.652065,125.659342 C111.102424,124.21251 112,122.214511 112,120.007595 L112,103.992405 C112,99.5776607 108.418278,96 104,96 C99.5907123,96 96,99.5783218 96,103.992405 L96,112 L32,112 L32,32 L96,32 L96,40.0075946 C96,44.4223393 99.581722,48 104,48 C108.409288,48 112,44.4216782 112,40.0075946 L112,23.9924054 C112,21.7851587 111.104671,19.7871591 109.657101,18.3409203 C108.203844,16.8944047 106.205061,16 104.000754,16 L88,16 C88,11.5907123 84.4151006,8 79.9929031,8 L48.0070969,8 C43.5881712,8 40,11.581722 40,16 Z M44,14.9958262 C44,12.7889923 45.7964248,11 48.0000255,11 L79.9999745,11 C82.2091276,11 84,12.7965212 84,14.9958262 L84,19.0041738 C84,21.2110077 82.2035752,23 79.9999745,23 L48.0000255,23 C45.7908724,23 44,21.2034788 44,19.0041738 L44,14.9958262 Z\"></path>\n\t\t<rect x=\"62\" y=\"64\" width=\"66\" height=\"16\" rx=\"8\"></rect>\n\t\t<path d=\"M60.6568542,85.6568542 L76.6568542,69.6568543 L65.3431458,69.6568542 L81.3431458,85.6568542 C84.4673401,88.7810486 89.5326599,88.7810486 92.6568542,85.6568542 C95.7810486,82.5326599 95.7810486,77.4673401 92.6568542,74.3431458 L76.6568542,58.3431458 C73.5326599,55.2189514 68.4673401,55.2189514 65.3431458,58.3431457 L49.3431458,74.3431457 C46.2189514,77.4673401 46.2189514,82.5326599 49.3431457,85.6568542 C52.4673401,88.7810486 57.5326599,88.7810486 60.6568542,85.6568542 L60.6568542,85.6568542 Z\" transform=\"translate(71.000000, 72.000000) rotate(-90.000000) translate(-71.000000, -72.000000) \"></path>\n\t</g>\n</svg>"
},
"$:/core/images/delete-button": {
"title": "$:/core/images/delete-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-delete-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\" transform=\"translate(12.000000, 0.000000)\">\n <rect x=\"0\" y=\"11\" width=\"105\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"28\" y=\"0\" width=\"48\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"8\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n <rect x=\"8\" y=\"112\" width=\"88\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"80\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n <rect x=\"56\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n <rect x=\"32\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n </g>\n</svg>"
},
"$:/core/images/done-button": {
"title": "$:/core/images/done-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-done-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M3.52445141,76.8322939 C2.07397484,75.3828178 1.17514421,73.3795385 1.17514421,71.1666288 L1.17514421,23.1836596 C1.17514421,18.7531992 4.75686621,15.1751442 9.17514421,15.1751442 C13.5844319,15.1751442 17.1751442,18.7606787 17.1751442,23.1836596 L17.1751442,63.1751442 L119.173716,63.1751442 C123.590457,63.1751442 127.175144,66.7568662 127.175144,71.1751442 C127.175144,75.5844319 123.592783,79.1751442 119.173716,79.1751442 L9.17657227,79.1751442 C6.96796403,79.1751442 4.9674142,78.279521 3.51911285,76.8315312 Z\" id=\"Rectangle-285\" transform=\"translate(64.175144, 47.175144) rotate(-45.000000) translate(-64.175144, -47.175144) \"></path>\n </g>\n</svg>"
},
"$:/core/images/down-arrow": {
"title": "$:/core/images/down-arrow",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-down-arrow tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <path d=\"M109.35638,81.3533152 C107.923899,82.7869182 105.94502,83.6751442 103.759224,83.6751442 L24.5910645,83.6751442 C20.225873,83.6751442 16.6751442,80.1307318 16.6751442,75.7584775 C16.6751442,71.3951199 20.2192225,67.8418109 24.5910645,67.8418109 L95.8418109,67.8418109 L95.8418109,-3.40893546 C95.8418109,-7.77412698 99.3862233,-11.3248558 103.758478,-11.3248558 C108.121835,-11.3248558 111.675144,-7.78077754 111.675144,-3.40893546 L111.675144,75.7592239 C111.675144,77.9416955 110.789142,79.9205745 109.356651,81.3538862 Z\" transform=\"translate(64.175144, 36.175144) rotate(45.000000) translate(-64.175144, -36.175144) \"></path>\n</svg>"
},
"$:/core/images/download-button": {
"title": "$:/core/images/download-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-download-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path class=\"tc-image-download-button-ring\" d=\"M64,128 C99.346224,128 128,99.346224 128,64 C128,28.653776 99.346224,0 64,0 C28.653776,0 0,28.653776 0,64 C0,99.346224 28.653776,128 64,128 Z M64,112 C90.509668,112 112,90.509668 112,64 C112,37.490332 90.509668,16 64,16 C37.490332,16 16,37.490332 16,64 C16,90.509668 37.490332,112 64,112 Z\"/><path d=\"M34.3496823,66.4308767 L61.2415823,93.634668 C63.0411536,95.4551107 65.9588502,95.4551107 67.7584215,93.634668 L94.6503215,66.4308767 C96.4498928,64.610434 96.4498928,61.6588981 94.6503215,59.8384554 C93.7861334,58.9642445 92.6140473,58.4731195 91.3919019,58.4731195 L82.9324098,58.4731195 C80.3874318,58.4731195 78.3243078,56.3860674 78.3243078,53.8115729 L78.3243078,38.6615466 C78.3243078,36.0870521 76.2611837,34 73.7162058,34 L55.283798,34 C52.7388201,34 50.675696,36.0870521 50.675696,38.6615466 L50.675696,38.6615466 L50.675696,53.8115729 C50.675696,56.3860674 48.612572,58.4731195 46.0675941,58.4731195 L37.608102,58.4731195 C35.063124,58.4731195 33,60.5601716 33,63.134666 C33,64.3709859 33.4854943,65.5566658 34.3496823,66.4308767 L34.3496823,66.4308767 Z\"/></g></svg>"
},
"$:/core/images/edit-button": {
"title": "$:/core/images/edit-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-edit-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M116.870058,45.3431458 L108.870058,45.3431458 L108.870058,45.3431458 L108.870058,61.3431458 L116.870058,61.3431458 L116.870058,45.3431458 Z M124.870058,45.3431458 L127.649881,45.3431458 C132.066101,45.3431458 135.656854,48.9248678 135.656854,53.3431458 C135.656854,57.7524334 132.07201,61.3431458 127.649881,61.3431458 L124.870058,61.3431458 L124.870058,45.3431458 Z M100.870058,45.3431458 L15.6638275,45.3431458 C15.5064377,45.3431458 15.3501085,45.3476943 15.1949638,45.3566664 L15.1949638,45.3566664 C15.0628002,45.3477039 14.928279,45.3431458 14.7913977,45.3431458 C6.68160973,45.3431458 -8.34314575,53.3431458 -8.34314575,53.3431458 C-8.34314575,53.3431458 6.85614548,61.3431458 14.7913977,61.3431458 C14.9266533,61.3431458 15.0596543,61.3384973 15.190398,61.3293588 C15.3470529,61.3385075 15.5049057,61.3431458 15.6638275,61.3431458 L100.870058,61.3431458 L100.870058,45.3431458 L100.870058,45.3431458 Z\" transform=\"translate(63.656854, 53.343146) rotate(-45.000000) translate(-63.656854, -53.343146) \"></path>\n <path d=\"M35.1714596,124.189544 C41.9594858,123.613403 49.068777,121.917633 58.85987,118.842282 C60.6854386,118.268877 62.4306907,117.705515 65.1957709,116.802278 C81.1962861,111.575575 87.0734839,109.994907 93.9414474,109.655721 C102.29855,109.242993 107.795169,111.785371 111.520478,118.355045 C112.610163,120.276732 115.051363,120.951203 116.97305,119.861518 C118.894737,118.771832 119.569207,116.330633 118.479522,114.408946 C113.146151,105.003414 104.734907,101.112919 93.5468356,101.66546 C85.6716631,102.054388 79.4899908,103.716944 62.7116783,109.197722 C59.9734132,110.092199 58.2519873,110.64787 56.4625698,111.20992 C37.002649,117.322218 25.6914684,118.282267 16.8654804,112.957098 C14.9739614,111.815848 12.5154166,112.424061 11.3741667,114.31558 C10.2329168,116.207099 10.84113,118.665644 12.7326489,119.806894 C19.0655164,123.627836 26.4866335,124.926678 35.1714596,124.189544 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/erase": {
"title": "$:/core/images/erase",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-erase tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M60.0870401,127.996166 L123.102318,64.980888 C129.636723,58.4464827 129.629513,47.8655877 123.098967,41.3350425 L99.4657866,17.7018617 C92.927448,11.1635231 82.3486358,11.1698163 75.8199411,17.698511 L4.89768189,88.6207702 C-1.63672343,95.1551755 -1.6295126,105.736071 4.90103262,112.266616 L20.6305829,127.996166 L60.0870401,127.996166 Z M25.1375576,120.682546 L10.812569,106.357558 C7.5455063,103.090495 7.54523836,97.793808 10.8048093,94.5342371 L46.2691086,59.0699377 L81.7308914,94.5317205 L55.5800654,120.682546 L25.1375576,120.682546 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/excise": {
"title": "$:/core/images/excise",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-excise tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M56,107.313709 L53.6568542,109.656854 C50.5326599,112.781049 45.4673401,112.781049 42.3431457,109.656854 C39.2189514,106.53266 39.2189514,101.46734 42.3431458,98.3431457 L58.3431458,82.3431457 C61.4673401,79.2189514 66.5326599,79.2189514 69.6568542,82.3431458 L85.6568542,98.3431458 C88.7810486,101.46734 88.7810486,106.53266 85.6568542,109.656854 C82.5326599,112.781049 77.4673401,112.781049 74.3431458,109.656854 L72,107.313708 L72,121.597798 C72,125.133636 68.418278,128 64,128 C59.581722,128 56,125.133636 56,121.597798 L56,107.313709 Z M0,40.0070969 C0,35.5848994 3.59071231,32 8,32 C12.418278,32 16,35.5881712 16,40.0070969 L16,71.9929031 C16,76.4151006 12.4092877,80 8,80 C3.581722,80 0,76.4118288 0,71.9929031 L0,40.0070969 Z M32,40.0070969 C32,35.5848994 35.5907123,32 40,32 C44.418278,32 48,35.5881712 48,40.0070969 L48,71.9929031 C48,76.4151006 44.4092877,80 40,80 C35.581722,80 32,76.4118288 32,71.9929031 L32,40.0070969 Z M80,40.0070969 C80,35.5848994 83.5907123,32 88,32 C92.418278,32 96,35.5881712 96,40.0070969 L96,71.9929031 C96,76.4151006 92.4092877,80 88,80 C83.581722,80 80,76.4118288 80,71.9929031 L80,40.0070969 Z M56,8.00709688 C56,3.58489938 59.5907123,0 64,0 C68.418278,0 72,3.58817117 72,8.00709688 L72,39.9929031 C72,44.4151006 68.4092877,48 64,48 C59.581722,48 56,44.4118288 56,39.9929031 L56,8.00709688 Z M112,40.0070969 C112,35.5848994 115.590712,32 120,32 C124.418278,32 128,35.5881712 128,40.0070969 L128,71.9929031 C128,76.4151006 124.409288,80 120,80 C115.581722,80 112,76.4118288 112,71.9929031 L112,40.0070969 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/export-button": {
"title": "$:/core/images/export-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-export-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00348646,127.999999 C8.00464867,128 8.00581094,128 8.00697327,128 L119.993027,128 C122.205254,128 124.207939,127.101378 125.657096,125.651198 L125.656838,125.65759 C127.104563,124.210109 128,122.21009 128,119.999949 L128,56.0000511 C128,51.5817449 124.409288,48 120,48 C115.581722,48 112,51.5797863 112,56.0000511 L112,112 L16,112 L16,56.0000511 C16,51.5817449 12.4092877,48 8,48 C3.581722,48 7.10542736e-15,51.5797863 7.10542736e-15,56.0000511 L7.10542736e-15,119.999949 C7.10542736e-15,124.418255 3.59071231,128 8,128 C8.00116233,128 8.0023246,128 8.00348681,127.999999 Z M56.6235633,27.3113724 L47.6580188,36.2769169 C44.5333664,39.4015692 39.4634864,39.4061295 36.339292,36.2819351 C33.2214548,33.1640979 33.2173444,28.0901742 36.3443103,24.9632084 L58.9616908,2.34582788 C60.5248533,0.782665335 62.5748436,0.000361191261 64.624516,2.38225238e-14 L64.6193616,0.00151809229 C66.6695374,0.000796251595 68.7211167,0.781508799 70.2854358,2.34582788 L92.9028163,24.9632084 C96.0274686,28.0878607 96.0320289,33.1577408 92.9078345,36.2819351 C89.7899973,39.3997724 84.7160736,39.4038827 81.5891078,36.2769169 L72.6235633,27.3113724 L72.6235633,88.5669606 C72.6235633,92.9781015 69.0418413,96.5662064 64.6235633,96.5662064 C60.2142756,96.5662064 56.6235633,92.984822 56.6235633,88.5669606 L56.6235633,27.3113724 L56.6235633,27.3113724 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/file": {
"title": "$:/core/images/file",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-file tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"nonzero\">\n <path d=\"M111.96811,30.5 L112,30.5 L112,119.999079 C112,124.417866 108.419113,128 104.000754,128 L23.9992458,128 C19.5813843,128 16,124.417687 16,119.999079 L16,8.00092105 C16,3.58213437 19.5808867,0 23.9992458,0 L81,0 L81,0.0201838424 C83.1589869,-0.071534047 85.3482153,0.707077645 86.9982489,2.35711116 L109.625176,24.9840387 C111.151676,26.510538 111.932942,28.4998414 111.96811,30.5 L111.96811,30.5 Z M81,8 L24,8 L24,120 L104,120 L104,30.5 L89.0003461,30.5 C84.5818769,30.5 81,26.9216269 81,22.4996539 L81,8 Z\"></path>\n <rect x=\"32\" y=\"36\" width=\"64\" height=\"8\" rx=\"4\"></rect>\n <rect x=\"32\" y=\"52\" width=\"64\" height=\"8\" rx=\"4\"></rect>\n <rect x=\"32\" y=\"68\" width=\"64\" height=\"8\" rx=\"4\"></rect>\n <rect x=\"32\" y=\"84\" width=\"64\" height=\"8\" rx=\"4\"></rect>\n <rect x=\"32\" y=\"100\" width=\"64\" height=\"8\" rx=\"4\"></rect>\n <rect x=\"32\" y=\"20\" width=\"40\" height=\"8\" rx=\"4\"></rect>\n </g>\n</svg>"
},
"$:/core/images/fixed-height": {
"title": "$:/core/images/fixed-height",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-fixed-height tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M60,35.6568542 L50.8284271,44.8284271 C49.26633,46.3905243 46.73367,46.3905243 45.1715729,44.8284271 C43.6094757,43.26633 43.6094757,40.73367 45.1715729,39.1715729 L61.1715729,23.1715729 C62.73367,21.6094757 65.2663299,21.6094757 66.8284271,23.1715728 L82.8284278,39.1715728 C84.390525,40.7336699 84.390525,43.2663299 82.8284279,44.8284271 C81.2663308,46.3905243 78.7336709,46.3905243 77.1715737,44.8284272 L68,35.6568539 L68,93.3431461 L77.1715737,84.1715728 C78.7336709,82.6094757 81.2663308,82.6094757 82.8284279,84.1715729 C84.390525,85.7336701 84.390525,88.2663301 82.8284278,89.8284272 L66.8284271,105.828427 C65.2663299,107.390524 62.73367,107.390524 61.1715729,105.828427 L45.1715729,89.8284271 C43.6094757,88.26633 43.6094757,85.73367 45.1715729,84.1715729 C46.73367,82.6094757 49.26633,82.6094757 50.8284271,84.1715729 L60,93.3431458 L60,35.6568542 L60,35.6568542 Z M16,116 L112,116 C114.209139,116 116,114.209139 116,112 C116,109.790861 114.209139,108 112,108 L16,108 C13.790861,108 12,109.790861 12,112 C12,114.209139 13.790861,116 16,116 L16,116 Z M16,20 L112,20 C114.209139,20 116,18.209139 116,16 C116,13.790861 114.209139,12 112,12 L16,12 C13.790861,12 12,13.790861 12,16 C12,18.209139 13.790861,20 16,20 L16,20 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/fold-all-button": {
"title": "$:/core/images/fold-all-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-fold-all tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"64\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M64.0292774,58.6235628 C61.9791013,58.6242848 59.9275217,57.8435723 58.3632024,56.279253 L35.7458219,33.6618725 C32.6211696,30.5372202 32.6166093,25.4673401 35.7408036,22.3431458 C38.8586409,19.2253085 43.9325646,19.2211982 47.0595304,22.348164 L64.0250749,39.3137085 L80.9906194,22.348164 C84.1152717,19.2235117 89.1851518,19.2189514 92.3093461,22.3431458 C95.4271834,25.460983 95.4312937,30.5349067 92.3043279,33.6618725 L69.6869474,56.279253 C68.1237851,57.8424153 66.0737951,58.6247195 64.0241231,58.6250809 Z\" transform=\"translate(64.024316, 39.313708) scale(1, -1) translate(-64.024316, -39.313708) \"></path>\n <path d=\"M64.0292774,123.621227 C61.9791013,123.621949 59.9275217,122.841236 58.3632024,121.276917 L35.7458219,98.6595365 C32.6211696,95.5348842 32.6166093,90.4650041 35.7408036,87.3408098 C38.8586409,84.2229725 43.9325646,84.2188622 47.0595304,87.345828 L64.0250749,104.311373 L80.9906194,87.345828 C84.1152717,84.2211757 89.1851518,84.2166154 92.3093461,87.3408098 C95.4271834,90.458647 95.4312937,95.5325707 92.3043279,98.6595365 L69.6869474,121.276917 C68.1237851,122.840079 66.0737951,123.622383 64.0241231,123.622745 Z\" transform=\"translate(64.024316, 104.311372) scale(1, -1) translate(-64.024316, -104.311372) \"></path>\n </g>\n</svg>"
},
"$:/core/images/fold-button": {
"title": "$:/core/images/fold-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-fold tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M64.0292774,63.6235628 C61.9791013,63.6242848 59.9275217,62.8435723 58.3632024,61.279253 L35.7458219,38.6618725 C32.6211696,35.5372202 32.6166093,30.4673401 35.7408036,27.3431458 C38.8586409,24.2253085 43.9325646,24.2211982 47.0595304,27.348164 L64.0250749,44.3137085 L80.9906194,27.348164 C84.1152717,24.2235117 89.1851518,24.2189514 92.3093461,27.3431458 C95.4271834,30.460983 95.4312937,35.5349067 92.3043279,38.6618725 L69.6869474,61.279253 C68.1237851,62.8424153 66.0737951,63.6247195 64.0241231,63.6250809 Z\" transform=\"translate(64.024316, 44.313708) scale(1, -1) translate(-64.024316, -44.313708) \"></path>\n <path d=\"M64.0049614,105.998482 C61.9547853,105.999204 59.9032057,105.218491 58.3388864,103.654172 L35.7215059,81.0367916 C32.5968535,77.9121393 32.5922933,72.8422592 35.7164876,69.7180649 C38.8343248,66.6002276 43.9082485,66.5961173 47.0352144,69.7230831 L64.0007589,86.6886276 L80.9663034,69.7230831 C84.0909557,66.5984308 89.1608358,66.5938705 92.2850301,69.7180649 C95.4028673,72.8359021 95.4069777,77.9098258 92.2800119,81.0367916 L69.6626314,103.654172 C68.099469,105.217334 66.0494791,105.999639 63.999807,106 Z\" transform=\"translate(64.000000, 86.688628) scale(1, -1) translate(-64.000000, -86.688628) \"></path>\n </g>\n</svg>"
},
"$:/core/images/fold-others-button": {
"title": "$:/core/images/fold-others-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-fold-others tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"56.0314331\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M101.657101,104.948818 C100.207918,103.498614 98.2051847,102.599976 95.9929031,102.599976 L72,102.599976 L72,78.6070725 C72,76.3964271 71.1036108,74.3936927 69.6545293,72.9441002 L69.6571005,72.9488183 C68.2079177,71.4986143 66.2051847,70.5999756 63.9929031,70.5999756 L32.0070969,70.5999756 C27.5881712,70.5999756 24,74.1816976 24,78.5999756 C24,83.0092633 27.5848994,86.5999756 32.0070969,86.5999756 L56,86.5999756 L56,110.592879 C56,112.803524 56.8963895,114.806259 58.3454713,116.255852 L58.3429,116.251133 C59.7920828,117.701337 61.7948156,118.599976 64.0070969,118.599976 L88,118.599976 L88,142.592879 C88,147.011804 91.581722,150.599976 96,150.599976 C100.409288,150.599976 104,147.015076 104,142.592879 L104,110.607072 C104,108.396427 103.103611,106.393693 101.654529,104.9441 Z\" transform=\"translate(64.000000, 110.599976) rotate(-45.000000) translate(-64.000000, -110.599976) \"></path>\n <path d=\"M101.725643,11.7488671 C100.27646,10.2986632 98.2737272,9.40002441 96.0614456,9.40002441 L72.0685425,9.40002441 L72.0685425,-14.5928787 C72.0685425,-16.8035241 71.1721533,-18.8062584 69.7230718,-20.255851 L69.725643,-20.2511329 C68.2764602,-21.7013368 66.2737272,-22.5999756 64.0614456,-22.5999756 L32.0756394,-22.5999756 C27.6567137,-22.5999756 24.0685425,-19.0182536 24.0685425,-14.5999756 C24.0685425,-10.1906879 27.6534419,-6.59997559 32.0756394,-6.59997559 L56.0685425,-6.59997559 L56.0685425,17.3929275 C56.0685425,19.6035732 56.964932,21.6063078 58.4140138,23.0559004 L58.4114425,23.0511823 C59.8606253,24.5013859 61.8633581,25.4000244 64.0756394,25.4000244 L88.0685425,25.4000244 L88.0685425,49.3929275 C88.0685425,53.8118532 91.6502645,57.4000244 96.0685425,57.4000244 C100.47783,57.4000244 104.068542,53.815125 104.068542,49.3929275 L104.068542,17.4071213 C104.068542,15.1964759 103.172153,13.1937416 101.723072,11.744149 Z\" transform=\"translate(64.068542, 17.400024) scale(1, -1) rotate(-45.000000) translate(-64.068542, -17.400024) \"></path>\n </g>\n</svg>"
},
"$:/core/images/folder": {
"title": "$:/core/images/folder",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-folder tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M55.6943257,128.000004 L7.99859666,128.000004 C3.5810937,128.000004 0,124.413822 0,119.996384 L0,48.0036243 C0,43.5833471 3.58387508,40.0000044 7.99859666,40.0000044 L16,40.0000044 L16,31.9999914 C16,27.5817181 19.5783731,24 24.0003461,24 L55.9996539,24 C60.4181231,24 64,27.5800761 64,31.9999914 L64,40.0000044 L104.001403,40.0000044 C108.418906,40.0000044 112,43.5861868 112,48.0036243 L112,59.8298353 L104,59.7475921 L104,51.9994189 C104,49.7887607 102.207895,48.0000044 99.9972215,48.0000044 L56,48.0000044 L56,36.0000255 C56,33.7898932 54.2072328,32 51.9957423,32 L28.0042577,32 C25.7890275,32 24,33.7908724 24,36.0000255 L24,48.0000044 L12.0027785,48.0000044 C9.78987688,48.0000044 8,49.7906032 8,51.9994189 L8,116.00059 C8,118.211248 9.79210499,120.000004 12.0027785,120.000004 L58.7630167,120.000004 L55.6943257,128.000004 L55.6943257,128.000004 Z\"></path>\n <path d=\"M23.8728955,55.5 L119.875702,55.5 C124.293205,55.5 126.87957,59.5532655 125.650111,64.5630007 L112.305967,118.936999 C111.077582,123.942356 106.497904,128 102.083183,128 L6.08037597,128 C1.66287302,128 -0.923492342,123.946735 0.305967145,118.936999 L13.650111,64.5630007 C14.878496,59.5576436 19.4581739,55.5 23.8728955,55.5 L23.8728955,55.5 L23.8728955,55.5 Z M25.6530124,64 L113.647455,64 C115.858129,64 117.151473,66.0930612 116.538306,68.6662267 L105.417772,115.333773 C104.803671,117.910859 102.515967,120 100.303066,120 L12.3086228,120 C10.0979492,120 8.8046054,117.906939 9.41777189,115.333773 L20.5383062,68.6662267 C21.1524069,66.0891409 23.4401107,64 25.6530124,64 L25.6530124,64 L25.6530124,64 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/full-screen-button": {
"title": "$:/core/images/full-screen-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-full-screen-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g>\n <g>\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n <g transform=\"translate(104.000000, 104.000000) rotate(-180.000000) translate(-104.000000, -104.000000) translate(80.000000, 80.000000)\">\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n <g transform=\"translate(24.000000, 104.000000) rotate(-90.000000) translate(-24.000000, -104.000000) translate(0.000000, 80.000000)\">\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n <g transform=\"translate(104.000000, 24.000000) rotate(90.000000) translate(-104.000000, -24.000000) translate(80.000000, 0.000000)\">\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n </g>\n</svg>"
},
"$:/core/images/github": {
"title": "$:/core/images/github",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-github tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M63.9383506,1.60695328 C28.6017227,1.60695328 -0.055756057,30.2970814 -0.055756057,65.6906208 C-0.055756057,94.003092 18.2804728,118.019715 43.7123154,126.493393 C46.9143781,127.083482 48.0812647,125.104717 48.0812647,123.405261 C48.0812647,121.886765 48.02626,117.85449 47.9948287,112.508284 C30.1929317,116.379268 26.4368926,103.916587 26.4368926,103.916587 C23.5255693,96.5129372 19.3294921,94.5420399 19.3294921,94.5420399 C13.5186324,90.5687739 19.7695302,90.6474524 19.7695302,90.6474524 C26.1933001,91.099854 29.5721638,97.2525155 29.5721638,97.2525155 C35.2808718,107.044059 44.5531024,104.215566 48.1991321,102.575118 C48.7806109,98.4366275 50.4346826,95.612068 52.2616263,94.0109598 C38.0507543,92.3941159 23.1091047,86.8944862 23.1091047,62.3389152 C23.1091047,55.3443933 25.6039634,49.6205298 29.6978889,45.1437211 C29.0378318,43.5229433 26.8415704,37.0044266 30.3265147,28.1845627 C30.3265147,28.1845627 35.6973364,26.4615028 47.9241083,34.7542205 C53.027764,33.330139 58.5046663,32.6220321 63.9462084,32.5944947 C69.3838216,32.6220321 74.856795,33.330139 79.9683085,34.7542205 C92.1872225,26.4615028 97.5501864,28.1845627 97.5501864,28.1845627 C101.042989,37.0044266 98.8467271,43.5229433 98.190599,45.1437211 C102.292382,49.6205298 104.767596,55.3443933 104.767596,62.3389152 C104.767596,86.9574291 89.8023734,92.3744463 75.5482834,93.9598188 C77.8427675,95.9385839 79.8897303,99.8489072 79.8897303,105.828476 C79.8897303,114.392635 79.8111521,121.304544 79.8111521,123.405261 C79.8111521,125.120453 80.966252,127.114954 84.2115327,126.489459 C109.623731,117.996111 127.944244,93.9952241 127.944244,65.6906208 C127.944244,30.2970814 99.2867652,1.60695328 63.9383506,1.60695328\"></path>\n </g>\n </svg>\n"
},
"$:/core/images/globe": {
"title": "$:/core/images/globe",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-globe tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M72.8111354,37.1275855 C72.8111354,37.9789875 72.8111354,38.8303894 72.8111354,39.6817913 C72.8111354,41.8784743 73.7885604,46.5631866 72.8111354,48.5143758 C71.3445471,51.4420595 68.1617327,52.0543531 66.4170946,54.3812641 C65.2352215,55.9575873 61.7987417,64.9821523 62.7262858,67.3005778 C66.6959269,77.2228204 74.26087,70.4881886 80.6887657,76.594328 C81.5527211,77.415037 83.5758191,78.8666631 83.985137,79.8899578 C87.2742852,88.1128283 76.4086873,94.8989524 87.7419325,106.189751 C88.9872885,107.430443 91.555495,102.372895 91.8205061,101.575869 C92.6726866,99.0129203 98.5458765,96.1267309 100.908882,94.5234439 C102.928056,93.1534443 105.782168,91.8557166 107.236936,89.7775886 C109.507391,86.5342557 108.717505,82.2640435 110.334606,79.0328716 C112.473794,74.7585014 114.163418,69.3979002 116.332726,65.0674086 C120.230862,57.2857361 121.054075,67.1596684 121.400359,67.5059523 C121.757734,67.8633269 122.411167,67.5059523 122.916571,67.5059523 C123.011132,67.5059523 124.364019,67.6048489 124.432783,67.5059523 C125.0832,66.5705216 123.390209,49.5852316 123.114531,48.2089091 C121.710578,41.1996597 116.17083,32.4278331 111.249523,27.7092761 C104.975994,21.6942076 104.160516,11.5121686 92.9912146,12.7547535 C92.7872931,12.7774397 87.906794,22.9027026 85.2136766,26.2672064 C81.486311,30.9237934 82.7434931,22.1144904 78.6876623,22.1144904 C78.6065806,22.1144904 77.5045497,22.0107615 77.4353971,22.1144904 C76.8488637,22.9942905 75.9952305,26.0101404 75.1288269,26.5311533 C74.8635477,26.6906793 73.4071369,26.2924966 73.2826811,26.5311533 C71.0401728,30.8313939 81.5394677,28.7427264 79.075427,34.482926 C76.7225098,39.9642538 72.747373,32.4860199 72.747373,43.0434079\"></path>\n <path d=\"M44.4668556,7.01044608 C54.151517,13.1403033 45.1489715,19.2084878 47.1611905,23.2253896 C48.8157833,26.5283781 51.4021933,28.6198851 48.8753629,33.038878 C46.8123257,36.6467763 42.0052989,37.0050492 39.251679,39.7621111 C36.2115749,42.8060154 33.7884281,48.7028116 32.4624592,52.6732691 C30.8452419,57.5158356 47.0088721,59.5388126 44.5246867,63.6811917 C43.1386839,65.9923513 37.7785192,65.1466282 36.0880227,63.8791519 C34.9234453,63.0059918 32.4946425,63.3331166 31.6713597,62.0997342 C29.0575851,58.1839669 29.4107339,54.0758543 28.0457962,49.9707786 C27.1076833,47.1493864 21.732611,47.8501656 20.2022714,49.3776393 C19.6790362,49.8998948 19.8723378,51.1703278 19.8723378,51.8829111 C19.8723378,57.1682405 26.9914913,55.1986414 26.9914913,58.3421973 C26.9914913,72.9792302 30.9191897,64.8771867 38.1313873,69.6793121 C48.1678018,76.3618966 45.9763926,76.981595 53.0777543,84.0829567 C56.7511941,87.7563965 60.8192437,87.7689005 62.503478,93.3767069 C64.1046972,98.7081071 53.1759798,98.7157031 50.786754,100.825053 C49.663965,101.816317 47.9736094,104.970571 46.5680513,105.439676 C44.7757187,106.037867 43.334221,105.93607 41.6242359,107.219093 C39.1967302,109.040481 37.7241465,112.151588 37.6034934,112.030935 C35.4555278,109.88297 34.0848666,96.5511248 33.7147244,93.7726273 C33.1258872,89.3524817 28.1241923,88.2337027 26.7275443,84.7420826 C25.1572737,80.8164061 28.2518481,75.223612 25.599097,70.9819941 C19.0797019,60.557804 13.7775712,56.4811506 10.2493953,44.6896152 C9.3074899,41.5416683 13.5912267,38.1609942 15.1264825,35.8570308 C17.0029359,33.0410312 17.7876232,30.0028946 19.8723378,27.2224065 C22.146793,24.1888519 40.8551166,9.46076832 43.8574051,8.63490613 L44.4668556,7.01044608 Z\"></path>\n <path d=\"M64,126 C98.2416545,126 126,98.2416545 126,64 C126,29.7583455 98.2416545,2 64,2 C29.7583455,2 2,29.7583455 2,64 C2,98.2416545 29.7583455,126 64,126 Z M64,120 C94.927946,120 120,94.927946 120,64 C120,33.072054 94.927946,8 64,8 C33.072054,8 8,33.072054 8,64 C8,94.927946 33.072054,120 64,120 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/heading-1": {
"title": "$:/core/images/heading-1",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-heading-1 tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M14,30 L27.25,30 L27.25,60.104 L61.7,60.104 L61.7,30 L74.95,30 L74.95,105.684 L61.7,105.684 L61.7,71.552 L27.25,71.552 L27.25,105.684 L14,105.684 L14,30 Z M84.3350766,43.78 C86.8790893,43.78 89.3523979,43.5680021 91.7550766,43.144 C94.1577553,42.7199979 96.3307336,42.0133383 98.2740766,41.024 C100.21742,40.0346617 101.87807,38.7626744 103.256077,37.208 C104.634084,35.6533256 105.535075,33.7453446 105.959077,31.484 L115.817077,31.484 L115.817077,105.684 L102.567077,105.684 L102.567077,53.32 L84.3350766,53.32 L84.3350766,43.78 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/heading-2": {
"title": "$:/core/images/heading-2",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-heading-2 tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M6,30 L19.25,30 L19.25,60.104 L53.7,60.104 L53.7,30 L66.95,30 L66.95,105.684 L53.7,105.684 L53.7,71.552 L19.25,71.552 L19.25,105.684 L6,105.684 L6,30 Z M125.519077,105.684 L74.8510766,105.684 C74.9217436,99.5359693 76.4057288,94.1653563 79.3030766,89.572 C82.2004244,84.9786437 86.1577182,80.986017 91.1750766,77.594 C93.5777553,75.8273245 96.0863969,74.113675 98.7010766,72.453 C101.315756,70.792325 103.718399,69.0080095 105.909077,67.1 C108.099754,65.1919905 109.901736,63.1250111 111.315077,60.899 C112.728417,58.6729889 113.47041,56.1113478 113.541077,53.214 C113.541077,51.8713266 113.382078,50.4403409 113.064077,48.921 C112.746075,47.4016591 112.127748,45.9883399 111.209077,44.681 C110.290405,43.3736601 109.018418,42.2783377 107.393077,41.395 C105.767735,40.5116622 103.647756,40.07 101.033077,40.07 C98.6303979,40.07 96.6340846,40.5469952 95.0440766,41.501 C93.4540687,42.4550048 92.1820814,43.762325 91.2280766,45.423 C90.2740719,47.083675 89.5674123,49.0446554 89.1080766,51.306 C88.648741,53.5673446 88.3837436,56.0053203 88.3130766,58.62 L76.2290766,58.62 C76.2290766,54.5213128 76.7767378,50.7230175 77.8720766,47.225 C78.9674154,43.7269825 80.610399,40.7060127 82.8010766,38.162 C84.9917542,35.6179873 87.6593942,33.6216739 90.8040766,32.173 C93.948759,30.7243261 97.6057224,30 101.775077,30 C106.297766,30 110.078395,30.7419926 113.117077,32.226 C116.155758,33.7100074 118.611401,35.5826554 120.484077,37.844 C122.356753,40.1053446 123.681739,42.5609868 124.459077,45.211 C125.236414,47.8610133 125.625077,50.3873213 125.625077,52.79 C125.625077,55.7580148 125.165748,58.4433213 124.247077,60.846 C123.328405,63.2486787 122.091751,65.4569899 120.537077,67.471 C118.982402,69.4850101 117.215753,71.3399915 115.237077,73.036 C113.2584,74.7320085 111.209087,76.3219926 109.089077,77.806 C106.969066,79.2900074 104.849087,80.7033266 102.729077,82.046 C100.609066,83.3886734 98.6480856,84.7313266 96.8460766,86.074 C95.0440676,87.4166734 93.47175,88.8123261 92.1290766,90.261 C90.7864032,91.7096739 89.8677458,93.2466585 89.3730766,94.872 L125.519077,94.872 L125.519077,105.684 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/heading-3": {
"title": "$:/core/images/heading-3",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-heading-3 tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M6,30 L19.25,30 L19.25,60.104 L53.7,60.104 L53.7,30 L66.95,30 L66.95,105.684 L53.7,105.684 L53.7,71.552 L19.25,71.552 L19.25,105.684 L6,105.684 L6,30 Z M94.8850766,62.224 C96.8637532,62.294667 98.8424001,62.1533351 100.821077,61.8 C102.799753,61.4466649 104.566402,60.8283378 106.121077,59.945 C107.675751,59.0616623 108.930072,57.8426744 109.884077,56.288 C110.838081,54.7333256 111.315077,52.8253446 111.315077,50.564 C111.315077,47.3839841 110.237421,44.8400095 108.082077,42.932 C105.926733,41.0239905 103.153094,40.07 99.7610766,40.07 C97.641066,40.07 95.8037511,40.4939958 94.2490766,41.342 C92.6944022,42.1900042 91.4047484,43.3383261 90.3800766,44.787 C89.3554048,46.2356739 88.5957458,47.860991 88.1010766,49.663 C87.6064075,51.465009 87.3944096,53.3199905 87.4650766,55.228 L75.3810766,55.228 C75.5224107,51.623982 76.1937373,48.2850154 77.3950766,45.211 C78.596416,42.1369846 80.2393995,39.4693446 82.3240766,37.208 C84.4087537,34.9466554 86.9350618,33.1800064 89.9030766,31.908 C92.8710915,30.6359936 96.2277246,30 99.9730766,30 C102.870424,30 105.714729,30.4239958 108.506077,31.272 C111.297424,32.1200042 113.806065,33.3566585 116.032077,34.982 C118.258088,36.6073415 120.042403,38.6743208 121.385077,41.183 C122.72775,43.6916792 123.399077,46.5713171 123.399077,49.822 C123.399077,53.5673521 122.551085,56.8356527 120.855077,59.627 C119.159068,62.4183473 116.509095,64.4499936 112.905077,65.722 L112.905077,65.934 C117.145098,66.7820042 120.448731,68.8843166 122.816077,72.241 C125.183422,75.5976835 126.367077,79.6786426 126.367077,84.484 C126.367077,88.017351 125.660417,91.1796527 124.247077,93.971 C122.833736,96.7623473 120.925755,99.129657 118.523077,101.073 C116.120398,103.016343 113.329093,104.517995 110.149077,105.578 C106.969061,106.638005 103.612428,107.168 100.079077,107.168 C95.7683884,107.168 92.005426,106.549673 88.7900766,105.313 C85.5747272,104.076327 82.8894207,102.327345 80.7340766,100.066 C78.5787325,97.8046554 76.9357489,95.0840159 75.8050766,91.904 C74.6744043,88.7239841 74.0737436,85.1906861 74.0030766,81.304 L86.0870766,81.304 C85.9457426,85.8266893 87.0587315,89.5896517 89.4260766,92.593 C91.7934218,95.5963483 95.3443863,97.098 100.079077,97.098 C104.107097,97.098 107.481396,95.9496782 110.202077,93.653 C112.922757,91.3563219 114.283077,88.0880212 114.283077,83.848 C114.283077,80.9506522 113.717749,78.6540085 112.587077,76.958 C111.456404,75.2619915 109.972419,73.9723378 108.135077,73.089 C106.297734,72.2056623 104.230755,71.6580011 101.934077,71.446 C99.6373985,71.2339989 97.2877553,71.163333 94.8850766,71.234 L94.8850766,62.224 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/heading-4": {
"title": "$:/core/images/heading-4",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-heading-4 tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8,30 L21.25,30 L21.25,60.104 L55.7,60.104 L55.7,30 L68.95,30 L68.95,105.684 L55.7,105.684 L55.7,71.552 L21.25,71.552 L21.25,105.684 L8,105.684 L8,30 Z M84.5890766,78.548 L107.061077,78.548 L107.061077,45.9 L106.849077,45.9 L84.5890766,78.548 Z M128.049077,88.088 L118.509077,88.088 L118.509077,105.684 L107.061077,105.684 L107.061077,88.088 L75.2610766,88.088 L75.2610766,76.11 L107.061077,31.484 L118.509077,31.484 L118.509077,78.548 L128.049077,78.548 L128.049077,88.088 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/heading-5": {
"title": "$:/core/images/heading-5",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-heading-5 tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M6,30 L19.25,30 L19.25,60.104 L53.7,60.104 L53.7,30 L66.95,30 L66.95,105.684 L53.7,105.684 L53.7,71.552 L19.25,71.552 L19.25,105.684 L6,105.684 L6,30 Z M83.7550766,31.484 L122.127077,31.484 L122.127077,42.296 L92.7650766,42.296 L88.9490766,61.164 L89.1610766,61.376 C90.7864181,59.5386575 92.8533974,58.1430048 95.3620766,57.189 C97.8707558,56.2349952 100.361731,55.758 102.835077,55.758 C106.509762,55.758 109.795729,56.3763272 112.693077,57.613 C115.590424,58.8496729 118.0284,60.5809889 120.007077,62.807 C121.985753,65.0330111 123.487405,67.6653181 124.512077,70.704 C125.536748,73.7426819 126.049077,77.028649 126.049077,80.562 C126.049077,83.5300148 125.572081,86.5863176 124.618077,89.731 C123.664072,92.8756824 122.144754,95.7376538 120.060077,98.317 C117.9754,100.896346 115.30776,103.016325 112.057077,104.677 C108.806394,106.337675 104.919766,107.168 100.397077,107.168 C96.7930586,107.168 93.454092,106.691005 90.3800766,105.737 C87.3060613,104.782995 84.6030883,103.35201 82.2710766,101.444 C79.939065,99.5359905 78.0840835,97.1863473 76.7060766,94.395 C75.3280697,91.6036527 74.5684107,88.3353521 74.4270766,84.59 L86.5110766,84.59 C86.8644117,88.6180201 88.2423979,91.7096559 90.6450766,93.865 C93.0477553,96.0203441 96.2277235,97.098 100.185077,97.098 C102.729089,97.098 104.884401,96.6740042 106.651077,95.826 C108.417752,94.9779958 109.848738,93.8120074 110.944077,92.328 C112.039415,90.8439926 112.816741,89.1126766 113.276077,87.134 C113.735412,85.1553234 113.965077,83.0353446 113.965077,80.774 C113.965077,78.7246564 113.682413,76.763676 113.117077,74.891 C112.55174,73.018324 111.703749,71.3753404 110.573077,69.962 C109.442404,68.5486596 107.976086,67.4180042 106.174077,66.57 C104.372068,65.7219958 102.269755,65.298 99.8670766,65.298 C97.3230639,65.298 94.9380878,65.7749952 92.7120766,66.729 C90.4860655,67.6830048 88.8784149,69.4673203 87.8890766,72.082 L75.8050766,72.082 L83.7550766,31.484 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/heading-6": {
"title": "$:/core/images/heading-6",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-heading-6 tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M6,30 L19.25,30 L19.25,60.104 L53.7,60.104 L53.7,30 L66.95,30 L66.95,105.684 L53.7,105.684 L53.7,71.552 L19.25,71.552 L19.25,105.684 L6,105.684 L6,30 Z M112.587077,50.246 C112.304409,47.2073181 111.226753,44.751676 109.354077,42.879 C107.481401,41.006324 104.955093,40.07 101.775077,40.07 C99.584399,40.07 97.6940846,40.4763293 96.1040766,41.289 C94.5140687,42.1016707 93.1714154,43.1793266 92.0760766,44.522 C90.9807378,45.8646734 90.0974133,47.401658 89.4260766,49.133 C88.7547399,50.864342 88.2070787,52.6839905 87.7830766,54.592 C87.3590745,56.5000095 87.0587442,58.390324 86.8820766,60.263 C86.7054091,62.135676 86.5464107,63.8846585 86.4050766,65.51 L86.6170766,65.722 C88.2424181,62.7539852 90.4860623,60.5456739 93.3480766,59.097 C96.2100909,57.6483261 99.3017267,56.924 102.623077,56.924 C106.297762,56.924 109.583729,57.5599936 112.481077,58.832 C115.378424,60.1040064 117.834067,61.8529889 119.848077,64.079 C121.862087,66.3050111 123.399071,68.9373181 124.459077,71.976 C125.519082,75.0146819 126.049077,78.300649 126.049077,81.834 C126.049077,85.438018 125.466082,88.7769846 124.300077,91.851 C123.134071,94.9250154 121.455754,97.6103219 119.265077,99.907 C117.074399,102.203678 114.459758,103.987994 111.421077,105.26 C108.382395,106.532006 105.025762,107.168 101.351077,107.168 C95.9097161,107.168 91.4400941,106.16101 87.9420766,104.147 C84.4440591,102.13299 81.6880867,99.3770175 79.6740766,95.879 C77.6600666,92.3809825 76.2644138,88.2823568 75.4870766,83.583 C74.7097394,78.8836432 74.3210766,73.8133605 74.3210766,68.372 C74.3210766,63.9199777 74.7980719,59.4326893 75.7520766,54.91 C76.7060814,50.3873107 78.278399,46.2710186 80.4690766,42.561 C82.6597542,38.8509815 85.5393921,35.8300117 89.1080766,33.498 C92.6767611,31.1659883 97.0757171,30 102.305077,30 C105.273091,30 108.064397,30.4946617 110.679077,31.484 C113.293756,32.4733383 115.608067,33.8513245 117.622077,35.618 C119.636087,37.3846755 121.27907,39.5046543 122.551077,41.978 C123.823083,44.4513457 124.529743,47.2073181 124.671077,50.246 L112.587077,50.246 Z M100.927077,97.098 C103.117754,97.098 105.025735,96.6563378 106.651077,95.773 C108.276418,94.8896623 109.636738,93.7413404 110.732077,92.328 C111.827415,90.9146596 112.640074,89.271676 113.170077,87.399 C113.700079,85.526324 113.965077,83.6006766 113.965077,81.622 C113.965077,79.6433234 113.700079,77.7353425 113.170077,75.898 C112.640074,74.0606575 111.827415,72.4530069 110.732077,71.075 C109.636738,69.6969931 108.276418,68.5840042 106.651077,67.736 C105.025735,66.8879958 103.117754,66.464 100.927077,66.464 C98.736399,66.464 96.8107516,66.8703293 95.1500766,67.683 C93.4894017,68.4956707 92.0937489,69.5909931 90.9630766,70.969 C89.8324043,72.3470069 88.9844128,73.9546575 88.4190766,75.792 C87.8537405,77.6293425 87.5710766,79.5726564 87.5710766,81.622 C87.5710766,83.6713436 87.8537405,85.6146575 88.4190766,87.452 C88.9844128,89.2893425 89.8324043,90.9323261 90.9630766,92.381 C92.0937489,93.8296739 93.4894017,94.9779958 95.1500766,95.826 C96.8107516,96.6740042 98.736399,97.098 100.927077,97.098 L100.927077,97.098 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/help": {
"title": "$:/core/images/help",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-help tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M36.0548906,111.44117 C30.8157418,115.837088 20.8865444,118.803477 9.5,118.803477 C7.86465619,118.803477 6.25937294,118.742289 4.69372699,118.624467 C12.612543,115.984876 18.7559465,110.02454 21.0611049,102.609942 C8.74739781,92.845129 1.04940554,78.9359851 1.04940554,63.5 C1.04940554,33.9527659 29.2554663,10 64.0494055,10 C98.8433448,10 127.049406,33.9527659 127.049406,63.5 C127.049406,93.0472341 98.8433448,117 64.0494055,117 C53.9936953,117 44.48824,114.999337 36.0548906,111.44117 L36.0548906,111.44117 Z M71.4042554,77.5980086 C71.406883,77.2865764 71.4095079,76.9382011 71.4119569,76.5610548 C71.4199751,75.3262169 71.4242825,74.0811293 71.422912,72.9158546 C71.4215244,71.736154 71.4143321,70.709635 71.4001396,69.8743525 C71.4078362,68.5173028 71.9951951,67.7870427 75.1273009,65.6385471 C75.2388969,65.5619968 76.2124091,64.8981068 76.5126553,64.6910879 C79.6062455,62.5580654 81.5345849,60.9050204 83.2750652,58.5038955 C85.6146327,55.2762841 86.8327108,51.426982 86.8327108,46.8554323 C86.8327108,33.5625756 76.972994,24.9029551 65.3778484,24.9029551 C54.2752771,24.9029551 42.8794554,34.5115163 41.3121702,47.1975534 C40.9043016,50.4989536 43.2499725,53.50591 46.5513726,53.9137786 C49.8527728,54.3216471 52.8597292,51.9759763 53.2675978,48.6745761 C54.0739246,42.1479456 60.2395837,36.9492759 65.3778484,36.9492759 C70.6427674,36.9492759 74.78639,40.5885487 74.78639,46.8554323 C74.78639,50.4892974 73.6853224,52.008304 69.6746221,54.7736715 C69.4052605,54.9593956 68.448509,55.6118556 68.3131127,55.7047319 C65.6309785,57.5445655 64.0858213,58.803255 62.6123358,60.6352315 C60.5044618,63.2559399 59.3714208,66.3518252 59.3547527,69.9487679 C59.3684999,70.8407274 59.3752803,71.8084521 59.3765995,72.9300232 C59.3779294,74.0607297 59.3737237,75.2764258 59.36589,76.482835 C59.3634936,76.8518793 59.3609272,77.1924914 59.3583633,77.4963784 C59.3568319,77.6778944 59.3556368,77.8074256 59.3549845,77.8730928 C59.3219814,81.1994287 61.9917551,83.9227111 65.318091,83.9557142 C68.644427,83.9887173 71.3677093,81.3189435 71.4007124,77.9926076 C71.4014444,77.9187458 71.402672,77.7856841 71.4042554,77.5980086 Z M65.3778489,102.097045 C69.5359735,102.097045 72.9067994,98.7262189 72.9067994,94.5680944 C72.9067994,90.4099698 69.5359735,87.0391439 65.3778489,87.0391439 C61.2197243,87.0391439 57.8488984,90.4099698 57.8488984,94.5680944 C57.8488984,98.7262189 61.2197243,102.097045 65.3778489,102.097045 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/home-button": {
"title": "$:/core/images/home-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-home-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M112.9847,119.501583 C112.99485,119.336814 113,119.170705 113,119.003406 L113,67.56802 C116.137461,70.5156358 121.076014,70.4518569 124.133985,67.3938855 C127.25818,64.2696912 127.260618,59.2068102 124.131541,56.0777326 L70.3963143,2.34250601 C68.8331348,0.779326498 66.7828947,-0.000743167069 64.7337457,1.61675364e-05 C62.691312,-0.00409949529 60.6426632,0.777559815 59.077717,2.34250601 L33,28.420223 L33,28.420223 L33,8.00697327 C33,3.58484404 29.4092877,0 25,0 C20.581722,0 17,3.59075293 17,8.00697327 L17,44.420223 L5.3424904,56.0777326 C2.21694607,59.2032769 2.22220878,64.2760483 5.34004601,67.3938855 C8.46424034,70.5180798 13.5271213,70.5205187 16.6561989,67.3914411 L17,67.04764 L17,119.993027 C17,119.994189 17.0000002,119.995351 17.0000007,119.996514 C17.0000002,119.997675 17,119.998838 17,120 C17,124.418278 20.5881049,128 24.9992458,128 L105.000754,128 C109.418616,128 113,124.409288 113,120 C113,119.832611 112.99485,119.666422 112.9847,119.501583 Z M97,112 L97,51.5736087 L97,51.5736087 L64.7370156,19.3106244 L33,51.04764 L33,112 L97,112 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/import-button": {
"title": "$:/core/images/import-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-import-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M105.449437,94.2138951 C105.449437,94.2138951 110.049457,94.1897106 110.049457,99.4026111 C110.049457,104.615512 105.163246,104.615511 105.163246,104.615511 L45.0075072,105.157833 C45.0075072,105.157833 0.367531803,106.289842 0.367532368,66.6449212 C0.367532934,27.0000003 45.0428249,27.0000003 45.0428249,27.0000003 L105.532495,27.0000003 C105.532495,27.0000003 138.996741,25.6734987 138.996741,55.1771866 C138.996741,84.6808745 105.727102,82.8457535 105.727102,82.8457535 L56.1735087,82.8457535 C56.1735087,82.8457535 22.6899229,85.1500223 22.6899229,66.0913753 C22.6899229,47.0327282 56.1735087,49.3383013 56.1735087,49.3383013 L105.727102,49.3383013 C105.727102,49.3383013 111.245209,49.3383024 111.245209,54.8231115 C111.245209,60.3079206 105.727102,60.5074524 105.727102,60.5074524 L56.1735087,60.5074524 C56.1735087,60.5074524 37.48913,60.5074528 37.48913,66.6449195 C37.48913,72.7823862 56.1735087,71.6766023 56.1735087,71.6766023 L105.727102,71.6766029 C105.727102,71.6766029 127.835546,73.1411469 127.835546,55.1771866 C127.835546,35.5304025 105.727102,38.3035317 105.727102,38.3035317 L45.0428249,38.3035317 C45.0428249,38.3035317 11.5287276,38.3035313 11.5287276,66.6449208 C11.5287276,94.9863103 45.0428244,93.9579678 45.0428244,93.9579678 L105.449437,94.2138951 Z\" transform=\"translate(69.367532, 66.000000) rotate(-45.000000) translate(-69.367532, -66.000000) \"></path>\n </g>\n</svg>"
},
"$:/core/images/info-button": {
"title": "$:/core/images/info-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-info-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <g transform=\"translate(0.049406, 0.000000)\">\n <path d=\"M64,128 C99.346224,128 128,99.346224 128,64 C128,28.653776 99.346224,0 64,0 C28.653776,0 0,28.653776 0,64 C0,99.346224 28.653776,128 64,128 Z M64,112 C90.509668,112 112,90.509668 112,64 C112,37.490332 90.509668,16 64,16 C37.490332,16 16,37.490332 16,64 C16,90.509668 37.490332,112 64,112 Z\"></path>\n <circle cx=\"64\" cy=\"32\" r=\"8\"></circle>\n <rect x=\"56\" y=\"48\" width=\"16\" height=\"56\" rx=\"8\"></rect>\n </g>\n </g>\n</svg>"
},
"$:/core/images/italic": {
"title": "$:/core/images/italic",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-italic tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <polygon points=\"66.7114846 0 89.1204482 0 62.4089636 128 40 128\"></polygon>\n </g>\n</svg>"
},
"$:/core/images/left-arrow": {
"title": "$:/core/images/left-arrow",
"created": "20150315234410875",
"modified": "20150315235324760",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-left-arrow tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <path transform=\"rotate(135, 63.8945, 64.1752)\" d=\"m109.07576,109.35336c-1.43248,1.43361 -3.41136,2.32182 -5.59717,2.32182l-79.16816,0c-4.36519,0 -7.91592,-3.5444 -7.91592,-7.91666c0,-4.36337 3.54408,-7.91667 7.91592,-7.91667l71.25075,0l0,-71.25075c0,-4.3652 3.54442,-7.91592 7.91667,-7.91592c4.36336,0 7.91667,3.54408 7.91667,7.91592l0,79.16815c0,2.1825 -0.88602,4.16136 -2.3185,5.59467l-0.00027,-0.00056z\"/>\n</svg>\n"
},
"$:/core/images/line-width": {
"title": "$:/core/images/line-width",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-line-width tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M128,-97 L112.992786,-97 C112.452362,-97 112,-96.5522847 112,-96 C112,-95.4438648 112.444486,-95 112.992786,-95 L128,-95 L128,-97 Z M128,-78.6794919 L111.216185,-88.3696322 C110.748163,-88.6398444 110.132549,-88.4782926 109.856406,-88 C109.578339,-87.5183728 109.741342,-86.9117318 110.216185,-86.6375814 L128,-76.3700908 L128,-78.6794919 Z M78.6794919,-128 L88.3696322,-111.216185 C88.6437826,-110.741342 88.4816272,-110.134474 88,-109.856406 C87.5217074,-109.580264 86.9077936,-109.748163 86.6375814,-110.216185 L76.3700908,-128 L78.6794919,-128 Z M97,-128 L97,-112.992786 C97,-112.444486 96.5561352,-112 96,-112 C95.4477153,-112 95,-112.452362 95,-112.992786 L95,-128 L97,-128 Z M115.629909,-128 L105.362419,-110.216185 C105.088268,-109.741342 104.481627,-109.578339 104,-109.856406 C103.521707,-110.132549 103.360156,-110.748163 103.630368,-111.216185 L113.320508,-128 L115.629909,-128 Z M128,-113.320508 L111.216185,-103.630368 C110.741342,-103.356217 110.134474,-103.518373 109.856406,-104 C109.580264,-104.478293 109.748163,-105.092206 110.216185,-105.362419 L128,-115.629909 L128,-113.320508 Z M48,-96 C48,-96.5522847 48.4523621,-97 48.9927864,-97 L79.0072136,-97 C79.5555144,-97 80,-96.5561352 80,-96 C80,-95.4477153 79.5476379,-95 79.0072136,-95 L48.9927864,-95 C48.4444856,-95 48,-95.4438648 48,-96 Z M54.4307806,-120 C54.706923,-120.478293 55.3225377,-120.639844 55.7905589,-120.369632 L81.7838153,-105.362419 C82.2586577,-105.088268 82.4216611,-104.481627 82.1435935,-104 C81.8674512,-103.521707 81.2518365,-103.360156 80.7838153,-103.630368 L54.7905589,-118.637581 C54.3157165,-118.911732 54.152713,-119.518373 54.4307806,-120 Z M104,-82.1435935 C104.478293,-82.4197359 105.092206,-82.2518365 105.362419,-81.7838153 L120.369632,-55.7905589 C120.643783,-55.3157165 120.481627,-54.7088482 120,-54.4307806 C119.521707,-54.1546382 118.907794,-54.3225377 118.637581,-54.7905589 L103.630368,-80.7838153 C103.356217,-81.2586577 103.518373,-81.865526 104,-82.1435935 Z M96,-80 C96.5522847,-80 97,-79.5476379 97,-79.0072136 L97,-48.9927864 C97,-48.4444856 96.5561352,-48 96,-48 C95.4477153,-48 95,-48.4523621 95,-48.9927864 L95,-79.0072136 C95,-79.5555144 95.4438648,-80 96,-80 Z M88,-82.1435935 C88.4782926,-81.8674512 88.6398444,-81.2518365 88.3696322,-80.7838153 L73.3624186,-54.7905589 C73.0882682,-54.3157165 72.4816272,-54.152713 72,-54.4307806 C71.5217074,-54.706923 71.3601556,-55.3225377 71.6303678,-55.7905589 L86.6375814,-81.7838153 C86.9117318,-82.2586577 87.5183728,-82.4216611 88,-82.1435935 Z M82.1435935,-88 C82.4197359,-87.5217074 82.2518365,-86.9077936 81.7838153,-86.6375814 L55.7905589,-71.6303678 C55.3157165,-71.3562174 54.7088482,-71.5183728 54.4307806,-72 C54.1546382,-72.4782926 54.3225377,-73.0922064 54.7905589,-73.3624186 L80.7838153,-88.3696322 C81.2586577,-88.6437826 81.865526,-88.4816272 82.1435935,-88 Z M1.30626177e-08,-41.9868843 L15.0170091,-57.9923909 L20.7983821,-52.9749272 L44.7207091,-81.2095939 L73.4260467,-42.1002685 L85.984793,-56.6159488 L104.48741,-34.0310661 L127.969109,-47.4978019 L127.969109,7.99473128e-07 L1.30626177e-08,7.99473128e-07 L1.30626177e-08,-41.9868843 Z M96,-84 C102.627417,-84 108,-89.372583 108,-96 C108,-102.627417 102.627417,-108 96,-108 C89.372583,-108 84,-102.627417 84,-96 C84,-89.372583 89.372583,-84 96,-84 Z\"></path>\n <path d=\"M16,18 L112,18 C113.104569,18 114,17.1045695 114,16 C114,14.8954305 113.104569,14 112,14 L16,14 C14.8954305,14 14,14.8954305 14,16 C14,17.1045695 14.8954305,18 16,18 L16,18 Z M16,35 L112,35 C114.209139,35 116,33.209139 116,31 C116,28.790861 114.209139,27 112,27 L16,27 C13.790861,27 12,28.790861 12,31 C12,33.209139 13.790861,35 16,35 L16,35 Z M16,56 L112,56 C115.313708,56 118,53.3137085 118,50 C118,46.6862915 115.313708,44 112,44 L16,44 C12.6862915,44 10,46.6862915 10,50 C10,53.3137085 12.6862915,56 16,56 L16,56 Z M16,85 L112,85 C117.522847,85 122,80.5228475 122,75 C122,69.4771525 117.522847,65 112,65 L16,65 C10.4771525,65 6,69.4771525 6,75 C6,80.5228475 10.4771525,85 16,85 L16,85 Z M16,128 L112,128 C120.836556,128 128,120.836556 128,112 C128,103.163444 120.836556,96 112,96 L16,96 C7.163444,96 0,103.163444 0,112 C0,120.836556 7.163444,128 16,128 L16,128 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/link": {
"title": "$:/core/images/link",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-link tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M128.719999,57.568543 C130.219553,53.8628171 131.045202,49.8121445 131.045202,45.5685425 C131.045202,27.8915447 116.718329,13.5685425 99.0452364,13.5685425 L67.0451674,13.5685425 C49.3655063,13.5685425 35.0452019,27.8954305 35.0452019,45.5685425 C35.0452019,63.2455403 49.3720745,77.5685425 67.0451674,77.5685425 L99.0452364,77.5685425 C100.406772,77.5685425 101.748384,77.4835732 103.065066,77.3186499 C96.4792444,73.7895096 91.1190212,68.272192 87.7873041,61.5685425 L67.0506214,61.5685425 C58.2110723,61.5685425 51.0452019,54.4070414 51.0452019,45.5685425 C51.0452019,36.7319865 58.2005234,29.5685425 67.0506214,29.5685425 L99.0397824,29.5685425 C107.879331,29.5685425 115.045202,36.7300436 115.045202,45.5685425 C115.045202,48.9465282 113.99957,52.0800164 112.21335,54.6623005 C114.314383,56.4735917 117.050039,57.5685425 120.041423,57.5685425 L128.720003,57.5685425 Z\" transform=\"translate(83.045202, 45.568542) rotate(-225.000000) translate(-83.045202, -45.568542)\"></path>\n <path d=\"M-0.106255113,71.0452019 C-1.60580855,74.7509276 -2.43145751,78.8016001 -2.43145751,83.0452019 C-2.43145751,100.7222 11.8954151,115.045202 29.568508,115.045202 L61.568577,115.045202 C79.2482381,115.045202 93.5685425,100.718314 93.5685425,83.0452019 C93.5685425,65.3682041 79.2416699,51.0452019 61.568577,51.0452019 L29.568508,51.0452019 C28.206973,51.0452019 26.8653616,51.1301711 25.5486799,51.2950943 C32.1345,54.8242347 37.4947231,60.3415524 40.8264403,67.0452019 L61.563123,67.0452019 C70.4026721,67.0452019 77.5685425,74.206703 77.5685425,83.0452019 C77.5685425,91.8817579 70.413221,99.0452019 61.563123,99.0452019 L29.573962,99.0452019 C20.7344129,99.0452019 13.5685425,91.8837008 13.5685425,83.0452019 C13.5685425,79.6672162 14.6141741,76.533728 16.4003949,73.9514439 C14.2993609,72.1401527 11.5637054,71.0452019 8.5723215,71.0452019 L-0.106255113,71.0452019 Z\" transform=\"translate(45.568542, 83.045202) rotate(-225.000000) translate(-45.568542, -83.045202)\"></path>\n </g>\n</svg>"
},
"$:/core/images/list-bullet": {
"title": "$:/core/images/list-bullet",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-list-bullet tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M11.6363636,40.2727273 C18.0629498,40.2727273 23.2727273,35.0629498 23.2727273,28.6363636 C23.2727273,22.2097775 18.0629498,17 11.6363636,17 C5.20977746,17 0,22.2097775 0,28.6363636 C0,35.0629498 5.20977746,40.2727273 11.6363636,40.2727273 Z M11.6363636,75.1818182 C18.0629498,75.1818182 23.2727273,69.9720407 23.2727273,63.5454545 C23.2727273,57.1188684 18.0629498,51.9090909 11.6363636,51.9090909 C5.20977746,51.9090909 0,57.1188684 0,63.5454545 C0,69.9720407 5.20977746,75.1818182 11.6363636,75.1818182 Z M11.6363636,110.090909 C18.0629498,110.090909 23.2727273,104.881132 23.2727273,98.4545455 C23.2727273,92.0279593 18.0629498,86.8181818 11.6363636,86.8181818 C5.20977746,86.8181818 0,92.0279593 0,98.4545455 C0,104.881132 5.20977746,110.090909 11.6363636,110.090909 Z M34.9090909,22.8181818 L128,22.8181818 L128,34.4545455 L34.9090909,34.4545455 L34.9090909,22.8181818 Z M34.9090909,57.7272727 L128,57.7272727 L128,69.3636364 L34.9090909,69.3636364 L34.9090909,57.7272727 Z M34.9090909,92.6363636 L128,92.6363636 L128,104.272727 L34.9090909,104.272727 L34.9090909,92.6363636 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/list-number": {
"title": "$:/core/images/list-number",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-list-number tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M33.8390805,22.3563218 L128,22.3563218 L128,34.1264368 L33.8390805,34.1264368 L33.8390805,22.3563218 Z M33.8390805,57.6666667 L128,57.6666667 L128,69.4367816 L33.8390805,69.4367816 L33.8390805,57.6666667 Z M33.8390805,92.9770115 L128,92.9770115 L128,104.747126 L33.8390805,104.747126 L33.8390805,92.9770115 Z M0.379509711,42.6307008 L0.379509711,40.4082314 L1.37821948,40.4082314 C2.20382368,40.4082314 2.82301754,40.268077 3.23581964,39.9877642 C3.64862174,39.7074513 3.85501969,39.0400498 3.85501969,37.9855395 L3.85501969,22.7686318 C3.85501969,21.3270228 3.66193774,20.4327047 3.27576803,20.0856507 C2.88959832,19.7385967 1.79768657,19.5650723 0,19.5650723 L0,17.4226919 C3.50215975,17.2758613 6.25191314,16.4683055 8.24934266,15 L10.3666074,15 L10.3666074,37.865406 C10.3666074,38.786434 10.5164123,39.4404875 10.8160268,39.8275862 C11.1156412,40.2146849 11.764796,40.4082314 12.7635108,40.4082314 L13.7622206,40.4082314 L13.7622206,42.6307008 L0.379509711,42.6307008 Z M0.0798967812,77.9873934 L0.0798967812,76.0852799 C7.27064304,69.5312983 10.8659622,63.5046623 10.8659622,58.005191 C10.8659622,56.4434479 10.5397203,55.195407 9.88722667,54.2610308 C9.23473303,53.3266546 8.36253522,52.8594735 7.27060709,52.8594735 C6.3784219,52.8594735 5.61608107,53.1764892 4.98356173,53.8105302 C4.35104238,54.4445712 4.03478745,55.1753759 4.03478745,56.0029663 C4.03478745,56.9773871 4.28113339,57.8316611 4.77383268,58.5658139 C4.88036225,58.7259926 4.93362624,58.8461249 4.93362624,58.9262143 C4.93362624,59.0730449 4.77383427,59.2065252 4.45424555,59.3266593 C4.2411864,59.4067486 3.70188852,59.6336652 2.83633573,60.0074156 C1.99741533,60.3811661 1.47809145,60.5680386 1.2783485,60.5680386 C1.03865696,60.5680386 0.765679018,60.1976307 0.459406492,59.4568039 C0.153133966,58.715977 0,57.9184322 0,57.0641453 C0,55.1153036 0.848894811,53.5202138 2.5467099,52.2788283 C4.24452499,51.0374428 6.34512352,50.4167594 8.84856852,50.4167594 C11.3120649,50.4167594 13.3793735,51.0874979 15.0505562,52.4289952 C16.7217389,53.7704924 17.5573177,55.5224215 17.5573177,57.684835 C17.5573177,58.9662652 17.2743527,60.2076321 16.7084144,61.4089729 C16.142476,62.6103138 14.7875733,64.4623531 12.6436656,66.9651465 C10.4997579,69.4679398 8.40914641,71.7804862 6.3717683,73.902855 L17.8169822,73.902855 L16.7982982,79.6292176 L14.6810335,79.6292176 C14.7609307,79.3489048 14.8008787,79.0952922 14.8008787,78.8683723 C14.8008787,78.4812736 14.7010087,78.237672 14.5012658,78.1375603 C14.3015228,78.0374485 13.9020429,77.9873934 13.3028141,77.9873934 L0.0798967812,77.9873934 Z M12.2042333,97.1935484 C13.9486551,97.2335931 15.4400468,97.8309175 16.6784531,98.9855395 C17.9168594,100.140162 18.5360532,101.75861 18.5360532,103.840934 C18.5360532,106.830938 17.4041935,109.233584 15.14044,111.048943 C12.8766866,112.864303 10.1402492,113.771969 6.93104577,113.771969 C4.92030005,113.771969 3.26245842,113.388213 1.95747114,112.62069 C0.652483855,111.853166 0,110.848727 0,109.607341 C0,108.833144 0.26964894,108.209124 0.808954909,107.735261 C1.34826088,107.261399 1.93749375,107.024472 2.57667119,107.024472 C3.21584864,107.024472 3.73850152,107.224692 4.14464552,107.625139 C4.55078953,108.025586 4.92696644,108.67964 5.27318756,109.587319 C5.73925445,110.855401 6.51158227,111.489433 7.59019421,111.489433 C8.85523291,111.489433 9.87723568,111.012241 10.6562332,110.057842 C11.4352307,109.103444 11.8247236,107.371536 11.8247236,104.862069 C11.8247236,103.153495 11.7048796,101.838714 11.4651881,100.917686 C11.2254966,99.9966584 10.6728827,99.5361513 9.80732989,99.5361513 C9.22141723,99.5361513 8.62219737,99.843156 8.00965231,100.457175 C7.51695303,100.951059 7.07752513,101.197998 6.69135542,101.197998 C6.3584505,101.197998 6.08880156,101.051169 5.88240051,100.757508 C5.67599946,100.463847 5.57280049,100.183539 5.57280049,99.916574 C5.57280049,99.5962164 5.67599946,99.3225818 5.88240051,99.0956618 C6.08880156,98.8687419 6.57150646,98.5016711 7.33052967,97.9944383 C10.2068282,96.0722929 11.6449559,93.9766521 11.6449559,91.7074527 C11.6449559,90.5194601 11.3386879,89.615131 10.7261429,88.9944383 C10.1135978,88.3737455 9.37455999,88.0634038 8.5090072,88.0634038 C7.71003539,88.0634038 6.98431355,88.3270274 6.33181991,88.8542825 C5.67932627,89.3815377 5.35308434,90.0122321 5.35308434,90.7463849 C5.35308434,91.3871 5.60608828,91.9810874 6.11210376,92.5283648 C6.28521432,92.7285883 6.3717683,92.8954387 6.3717683,93.028921 C6.3717683,93.1490551 5.80250943,93.4560598 4.6639746,93.9499444 C3.52543978,94.4438289 2.80970494,94.6907675 2.51674861,94.6907675 C2.10394651,94.6907675 1.76771758,94.3570667 1.50805174,93.6896552 C1.24838591,93.0222436 1.11855494,92.4082342 1.11855494,91.8476085 C1.11855494,90.0989901 2.04734573,88.6240327 3.90495518,87.4226919 C5.76256463,86.2213511 7.86982116,85.6206897 10.226788,85.6206897 C12.2907985,85.6206897 14.0784711,86.0678487 15.5898594,86.9621802 C17.1012478,87.8565117 17.8569306,89.0778566 17.8569306,90.6262514 C17.8569306,91.987771 17.2876717,93.2491599 16.1491369,94.4104561 C15.0106021,95.5717522 13.6956474,96.4994404 12.2042333,97.1935484 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/list": {
"title": "$:/core/images/list",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-list tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M0.719999312,185.568543 C2.21955287,181.862817 3.0452019,177.812144 3.0452019,173.568542 C3.0452019,155.891545 -11.2816707,141.568542 -28.9547636,141.568542 L-60.9548326,141.568542 C-78.6344937,141.568542 -92.9547981,155.895431 -92.9547981,173.568542 C-92.9547981,191.24554 -78.6279255,205.568542 -60.9548326,205.568542 L-28.9547636,205.568542 C-27.593228,205.568542 -26.2516158,205.483573 -24.9349335,205.31865 C-31.5207556,201.78951 -36.8809788,196.272192 -40.2126959,189.568542 L-60.9493786,189.568542 C-69.7889277,189.568542 -76.9547981,182.407041 -76.9547981,173.568542 C-76.9547981,164.731986 -69.7994766,157.568542 -60.9493786,157.568542 L-28.9602176,157.568542 C-20.1206685,157.568542 -12.9547981,164.730044 -12.9547981,173.568542 C-12.9547981,176.946528 -14.0004297,180.080016 -15.7866505,182.6623 C-13.6856165,184.473592 -10.949961,185.568542 -7.9585771,185.568542 L0.720002586,185.568542 Z\" transform=\"translate(-44.954798, 173.568542) rotate(-225.000000) translate(44.954798, -173.568542) \"></path>\n <path d=\"M87.7480315,128 L23.9992458,128 C19.5813843,128 16,124.409247 16,119.993027 L16,8.00697327 C16,3.58484404 19.5881049,0 23.9992458,0 L104.000754,0 C108.418616,0 112,3.59075293 112,8.00697327 L112,104 L91.2492027,104 C90.2848199,104 89.410573,104.391703 88.7768998,105.025201 C88.1373658,105.661376 87.7480315,106.53563 87.7480315,107.501171 L87.7480315,128 Z M95.7480315,127.879386 L111.627417,112 L95.7480315,112 L95.7480315,127.879386 Z M40,15.5089165 C40,13.5709954 41.5636015,12 43.4998101,12 L98.5001899,12 C100.433082,12 102,13.5614718 102,15.5089165 L102,16.4910835 C102,18.4290046 100.436399,20 98.5001899,20 L43.4998101,20 C41.5669183,20 40,18.4385282 40,16.4910835 L40,15.5089165 Z M32,22 C35.3137085,22 38,19.3137085 38,16 C38,12.6862915 35.3137085,10 32,10 C28.6862915,10 26,12.6862915 26,16 C26,19.3137085 28.6862915,22 32,22 Z M40,31.5089165 C40,29.5709954 41.5636015,28 43.4998101,28 L98.5001899,28 C100.433082,28 102,29.5614718 102,31.5089165 L102,32.4910835 C102,34.4290046 100.436399,36 98.5001899,36 L43.4998101,36 C41.5669183,36 40,34.4385282 40,32.4910835 L40,31.5089165 Z M40,47.5089165 C40,45.5709954 41.5636015,44 43.4998101,44 L98.5001899,44 C100.433082,44 102,45.5614718 102,47.5089165 L102,48.4910835 C102,50.4290046 100.436399,52 98.5001899,52 L43.4998101,52 C41.5669183,52 40,50.4385282 40,48.4910835 L40,47.5089165 Z M40,63.5089165 C40,61.5709954 41.5636015,60 43.4998101,60 L98.5001899,60 C100.433082,60 102,61.5614718 102,63.5089165 L102,64.4910835 C102,66.4290046 100.436399,68 98.5001899,68 L43.4998101,68 C41.5669183,68 40,66.4385282 40,64.4910835 L40,63.5089165 Z M40,79.5089165 C40,77.5709954 41.5636015,76 43.4998101,76 L98.5001899,76 C100.433082,76 102,77.5614718 102,79.5089165 L102,80.4910835 C102,82.4290046 100.436399,84 98.5001899,84 L43.4998101,84 C41.5669183,84 40,82.4385282 40,80.4910835 L40,79.5089165 Z M40,95.5089165 C40,93.5709954 41.5636015,92 43.4998101,92 L98.5001899,92 C100.433082,92 102,93.5614718 102,95.5089165 L102,96.4910835 C102,98.4290046 100.436399,100 98.5001899,100 L43.4998101,100 C41.5669183,100 40,98.4385282 40,96.4910835 L40,95.5089165 Z M40,111.508916 C40,109.570995 41.5680474,108 43.4972017,108 L76.5027983,108 C78.4342495,108 80,109.561472 80,111.508916 L80,112.491084 C80,114.429005 78.4319526,116 76.5027983,116 L43.4972017,116 C41.5657505,116 40,114.438528 40,112.491084 L40,111.508916 Z M32,38 C35.3137085,38 38,35.3137085 38,32 C38,28.6862915 35.3137085,26 32,26 C28.6862915,26 26,28.6862915 26,32 C26,35.3137085 28.6862915,38 32,38 Z M32,54 C35.3137085,54 38,51.3137085 38,48 C38,44.6862915 35.3137085,42 32,42 C28.6862915,42 26,44.6862915 26,48 C26,51.3137085 28.6862915,54 32,54 Z M32,70 C35.3137085,70 38,67.3137085 38,64 C38,60.6862915 35.3137085,58 32,58 C28.6862915,58 26,60.6862915 26,64 C26,67.3137085 28.6862915,70 32,70 Z M32,86 C35.3137085,86 38,83.3137085 38,80 C38,76.6862915 35.3137085,74 32,74 C28.6862915,74 26,76.6862915 26,80 C26,83.3137085 28.6862915,86 32,86 Z M32,102 C35.3137085,102 38,99.3137085 38,96 C38,92.6862915 35.3137085,90 32,90 C28.6862915,90 26,92.6862915 26,96 C26,99.3137085 28.6862915,102 32,102 Z M32,118 C35.3137085,118 38,115.313708 38,112 C38,108.686292 35.3137085,106 32,106 C28.6862915,106 26,108.686292 26,112 C26,115.313708 28.6862915,118 32,118 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/locked-padlock": {
"title": "$:/core/images/locked-padlock",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-locked-padlock tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M96.4723753,64 L105,64 L105,96.0097716 C105,113.673909 90.6736461,128 73.001193,128 L55.998807,128 C38.3179793,128 24,113.677487 24,96.0097716 L24,64 L32.0000269,64 C32.0028554,48.2766389 32.3030338,16.2688026 64.1594984,16.2688041 C95.9543927,16.2688056 96.4648869,48.325931 96.4723753,64 Z M80.5749059,64 L48.4413579,64 C48.4426205,47.71306 48.5829272,31.9999996 64.1595001,31.9999996 C79.8437473,31.9999996 81.1369461,48.1359182 80.5749059,64 Z M67.7315279,92.3641717 C70.8232551,91.0923621 73,88.0503841 73,84.5 C73,79.8055796 69.1944204,76 64.5,76 C59.8055796,76 56,79.8055796 56,84.5 C56,87.947435 58.0523387,90.9155206 61.0018621,92.2491029 L55.9067479,115.020857 L72.8008958,115.020857 L67.7315279,92.3641717 L67.7315279,92.3641717 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/mail": {
"title": "$:/core/images/mail",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-mail tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M122.826782,104.894066 C121.945525,105.22777 120.990324,105.41043 119.993027,105.41043 L8.00697327,105.41043 C7.19458381,105.41043 6.41045219,105.289614 5.67161357,105.064967 L5.67161357,105.064967 L39.8346483,70.9019325 L60.6765759,91.7438601 C61.6118278,92.679112 62.8865166,93.0560851 64.0946097,92.8783815 C65.2975108,93.0473238 66.5641085,92.6696979 67.4899463,91.7438601 L88.5941459,70.6396605 C88.6693095,70.7292352 88.7490098,70.8162939 88.8332479,70.9005321 L122.826782,104.894066 Z M127.903244,98.6568194 C127.966933,98.2506602 128,97.8343714 128,97.4103789 L128,33.410481 C128,32.7414504 127.917877,32.0916738 127.763157,31.4706493 L94.2292399,65.0045665 C94.3188145,65.0797417 94.4058701,65.1594458 94.4901021,65.2436778 L127.903244,98.6568194 Z M0.205060636,99.2178117 C0.0709009529,98.6370366 0,98.0320192 0,97.4103789 L0,33.410481 C0,32.694007 0.0944223363,31.9995312 0.27147538,31.3387595 L0.27147538,31.3387595 L34.1777941,65.2450783 L0.205060636,99.2178117 L0.205060636,99.2178117 Z M5.92934613,25.6829218 C6.59211333,25.5051988 7.28862283,25.4104299 8.00697327,25.4104299 L119.993027,25.4104299 C120.759109,25.4104299 121.500064,25.5178649 122.201605,25.7184927 L122.201605,25.7184927 L64.0832611,83.8368368 L5.92934613,25.6829218 L5.92934613,25.6829218 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/menu-button": {
"title": "$:/core/images/menu-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-menu-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <rect x=\"0\" y=\"16\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"56\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"96\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n</svg>"
},
"$:/core/images/mono-block": {
"title": "$:/core/images/mono-block",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-mono-block tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M23.9653488,32.9670593 L24.3217888,32.9670593 C25.0766067,32.9670593 25.6497006,33.1592554 26.0410876,33.5436534 C26.4324747,33.9280514 26.6281653,34.4906619 26.6281653,35.2315017 C26.6281653,36.0562101 26.4219913,36.6502709 26.009637,37.0137017 C25.5972828,37.3771326 24.9158602,37.5588453 23.9653488,37.5588453 L17.6542639,37.5588453 C16.6897744,37.5588453 16.0048573,37.380627 15.5994921,37.0241852 C15.1941269,36.6677435 14.9914474,36.0701882 14.9914474,35.2315017 C14.9914474,34.4207713 15.1941269,33.8406885 15.5994921,33.4912358 C16.0048573,33.141783 16.6897744,32.9670593 17.6542639,32.9670593 L18.388111,32.9670593 L17.5284616,30.5139133 L8.47069195,30.5139133 L7.5691084,32.9670593 L8.30295547,32.9670593 C9.25346691,32.9670593 9.93488953,33.1452775 10.3472438,33.5017193 C10.759598,33.8581611 10.965772,34.4347494 10.965772,35.2315017 C10.965772,36.0562101 10.759598,36.6502709 10.3472438,37.0137017 C9.93488953,37.3771326 9.25346691,37.5588453 8.30295547,37.5588453 L2.89345418,37.5588453 C1.92896463,37.5588453 1.24404754,37.3771326 0.838682371,37.0137017 C0.433317198,36.6502709 0.230637652,36.0562101 0.230637652,35.2315017 C0.230637652,34.4906619 0.426328248,33.9280514 0.817715312,33.5436534 C1.20910238,33.1592554 1.78219626,32.9670593 2.53701417,32.9670593 L2.89345418,32.9670593 L8.51262607,17.3256331 L6.83526132,17.3256331 C5.88474988,17.3256331 5.20332727,17.1439204 4.79097304,16.7804895 C4.37861882,16.4170587 4.1724448,15.8299869 4.1724448,15.0192565 C4.1724448,14.1945481 4.37861882,13.6004873 4.79097304,13.2370565 C5.20332727,12.8736257 5.88474988,12.691913 6.83526132,12.691913 L14.6979086,12.691913 C15.9419603,12.691913 16.815579,13.3628521 17.318791,14.7047506 L17.318791,14.7676518 L23.9653488,32.9670593 Z M12.9786097,17.3256331 L9.9383861,26.1737321 L16.0188333,26.1737321 L12.9786097,17.3256331 Z M35.3809383,26.6979086 L35.3809383,33.0928616 L38.5259972,33.0928616 C40.7485166,33.0928616 42.3140414,32.8482484 43.2226185,32.3590146 C44.1311956,31.8697807 44.5854773,31.0520736 44.5854773,29.9058686 C44.5854773,28.7456855 44.1521624,27.9209895 43.2855197,27.4317556 C42.4188769,26.9425218 40.9022748,26.6979086 38.7356678,26.6979086 L35.3809383,26.6979086 Z M46.0741385,24.370565 C47.5977525,24.9296893 48.7159844,25.6949794 49.428868,26.666458 C50.1417516,27.6379366 50.498188,28.8784752 50.498188,30.388111 C50.498188,31.6601189 50.1906743,32.8202846 49.5756374,33.8686428 C48.9606006,34.917001 48.0799929,35.7766419 46.933788,36.4475911 C46.2628387,36.8389782 45.5115266,37.1220307 44.6798291,37.296757 C43.8481316,37.4714834 42.6704935,37.5588453 41.1468796,37.5588453 L39.3856466,37.5588453 L30.2020747,37.5588453 C29.2795194,37.5588453 28.6190637,37.3771326 28.2206876,37.0137017 C27.8223114,36.6502709 27.6231264,36.0562101 27.6231264,35.2315017 C27.6231264,34.4906619 27.811828,33.9280514 28.189237,33.5436534 C28.5666459,33.1592554 29.118773,32.9670593 29.8456347,32.9670593 L30.2020747,32.9670593 L30.2020747,17.3256331 L29.8456347,17.3256331 C29.118773,17.3256331 28.5666459,17.1299425 28.189237,16.7385554 C27.811828,16.3471683 27.6231264,15.7740744 27.6231264,15.0192565 C27.6231264,14.2085262 27.8258059,13.6179599 28.2311711,13.24754 C28.6365363,12.8771201 29.2934976,12.691913 30.2020747,12.691913 L39.8469219,12.691913 C42.796303,12.691913 45.0362615,13.2650068 46.5668644,14.4112118 C48.0974674,15.5574168 48.8627574,17.2347648 48.8627574,19.443306 C48.8627574,20.5335986 48.6286276,21.4945792 48.1603609,22.3262767 C47.6920943,23.1579742 46.9966938,23.8393968 46.0741385,24.370565 L46.0741385,24.370565 Z M35.3809383,17.1998307 L35.3809383,22.4835296 L38.2114913,22.4835296 C39.9307988,22.4835296 41.1433816,22.2808501 41.8492761,21.8754849 C42.5551706,21.4701197 42.9081126,20.7852027 42.9081126,19.8207131 C42.9081126,18.912136 42.5901154,18.2481858 41.9541114,17.8288425 C41.3181074,17.4094992 40.2872373,17.1998307 38.8614701,17.1998307 L35.3809383,17.1998307 Z M71.244119,13.3838259 C71.5236812,12.880614 71.8102281,12.5241775 72.1037684,12.3145059 C72.3973087,12.1048342 72.7677231,12 73.2150226,12 C73.8999499,12 74.3856819,12.1817127 74.6722332,12.5451435 C74.9587844,12.9085744 75.1020579,13.5305909 75.1020579,14.4112118 L75.143992,19.8626472 C75.143992,20.8271368 74.9867406,21.4771091 74.6722332,21.8125837 C74.3577257,22.1480584 73.7881263,22.3157932 72.9634178,22.3157932 C72.3763372,22.3157932 71.92555,22.1760142 71.6110425,21.896452 C71.2965351,21.6168898 71.0274605,21.0997075 70.8038107,20.3448896 C70.4403799,19.0169692 69.8602971,18.0629775 69.0635448,17.482886 C68.2667926,16.9027945 67.1625385,16.612753 65.7507494,16.612753 C63.5981206,16.612753 61.9487284,17.3396038 60.8025235,18.7933272 C59.6563185,20.2470506 59.0832246,22.3507245 59.0832246,25.104412 C59.0832246,27.8441215 59.6633074,29.9477954 60.8234905,31.4154969 C61.9836736,32.8831984 63.6400547,33.6170381 65.7926836,33.6170381 C67.2603851,33.6170381 68.878327,33.1278116 70.6465578,32.149344 C72.4147886,31.1708763 73.5295261,30.6816498 73.9908037,30.6816498 C74.53595,30.6816498 74.9937262,30.9122852 75.3641461,31.3735628 C75.734566,31.8348404 75.9197732,32.4079343 75.9197732,33.0928616 C75.9197732,34.3229353 74.836486,35.4831009 72.669879,36.5733935 C70.5032721,37.663686 68.0641285,38.2088241 65.3523753,38.2088241 C61.6901107,38.2088241 58.7267959,36.9997358 56.4623422,34.5815228 C54.1978885,32.1633099 53.0656786,29.0043046 53.0656786,25.104412 C53.0656786,21.3443006 54.2118664,18.22024 56.5042763,15.7321366 C58.7966863,13.2440331 61.7040894,12 65.226573,12 C66.2190187,12 67.1974717,12.1118232 68.1619613,12.3354729 C69.1264508,12.5591227 70.1538264,12.9085702 71.244119,13.3838259 L71.244119,13.3838259 Z M81.4645862,32.9670593 L81.4645862,17.3256331 L81.1081461,17.3256331 C80.3533282,17.3256331 79.7802344,17.1299425 79.3888473,16.7385554 C78.9974602,16.3471683 78.8017696,15.7740744 78.8017696,15.0192565 C78.8017696,14.2085262 79.0114381,13.6179599 79.4307814,13.24754 C79.8501247,12.8771201 80.5280528,12.691913 81.4645862,12.691913 L85.4063933,12.691913 L86.6434498,12.691913 C89.5648747,12.691913 91.7034933,12.8177141 93.0593699,13.06932 C94.4152465,13.320926 95.5684233,13.740263 96.5189347,14.3273436 C98.210286,15.3337675 99.5067362,16.7699967 100.408324,18.6360743 C101.309912,20.5021519 101.7607,22.6582429 101.7607,25.104412 C101.7607,27.6903623 101.247012,29.9512876 100.219621,31.8872557 C99.1922296,33.8232239 97.7350336,35.2874089 95.8479888,36.2798546 C94.9953241,36.7271541 93.9959043,37.0521403 92.8496993,37.2548229 C91.7034944,37.4575055 89.9981906,37.5588453 87.7337369,37.5588453 L85.4063933,37.5588453 L81.4645862,37.5588453 C80.5000966,37.5588453 79.8151795,37.380627 79.4098143,37.0241852 C79.0044492,36.6677435 78.8017696,36.0701882 78.8017696,35.2315017 C78.8017696,34.4906619 78.9974602,33.9280514 79.3888473,33.5436534 C79.7802344,33.1592554 80.3533282,32.9670593 81.1081461,32.9670593 L81.4645862,32.9670593 Z M86.8740874,17.2417648 L86.8740874,32.9670593 L88.0692098,32.9670593 C90.7110725,32.9670593 92.6609895,32.3205814 93.9190194,31.0276063 C95.1770492,29.7346312 95.8060547,27.7462749 95.8060547,25.0624779 C95.8060547,22.4206153 95.1665658,20.4497314 93.8875688,19.1497672 C92.6085718,17.849803 90.6831161,17.1998307 88.1111439,17.1998307 C87.7756693,17.1998307 87.5205727,17.2033252 87.3458463,17.2103142 C87.1711199,17.2173033 87.0138685,17.2277867 86.8740874,17.2417648 L86.8740874,17.2417648 Z M121.94052,17.1159625 L112.190837,17.1159625 L112.190837,22.4835296 L115.88104,22.4835296 L115.88104,22.2319249 C115.88104,21.4351727 116.055763,20.841112 116.405216,20.4497249 C116.754669,20.0583378 117.285829,19.8626472 117.998713,19.8626472 C118.627728,19.8626472 119.141415,20.0408655 119.539792,20.3973072 C119.938168,20.753749 120.137353,21.2045363 120.137353,21.7496826 C120.137353,21.7776388 120.144342,21.8684951 120.15832,22.0222543 C120.172298,22.1760135 120.179287,22.3297704 120.179287,22.4835296 L120.179287,26.8237109 C120.179287,27.7602442 120.011552,28.4311834 119.676077,28.8365486 C119.340603,29.2419138 118.795465,29.4445933 118.040647,29.4445933 C117.327763,29.4445933 116.789614,29.2558917 116.426183,28.8784827 C116.062752,28.5010738 115.88104,27.9419578 115.88104,27.201118 L115.88104,26.8237109 L112.190837,26.8237109 L112.190837,33.0928616 L121.94052,33.0928616 L121.94052,30.5977816 C121.94052,29.6612482 122.118738,28.9903091 122.47518,28.5849439 C122.831622,28.1795787 123.415199,27.9768992 124.225929,27.9768992 C125.022682,27.9768992 125.592281,28.1760842 125.934745,28.5744604 C126.277208,28.9728365 126.448438,29.6472701 126.448438,30.5977816 L126.448438,35.6718099 C126.448438,36.4266278 126.30167,36.9298322 126.008129,37.1814382 C125.714589,37.4330442 125.134506,37.5588453 124.267863,37.5588453 L107.095842,37.5588453 C106.173287,37.5588453 105.512831,37.3771326 105.114455,37.0137017 C104.716079,36.6502709 104.516894,36.0562101 104.516894,35.2315017 C104.516894,34.4906619 104.705595,33.9280514 105.083004,33.5436534 C105.460413,33.1592554 106.01254,32.9670593 106.739402,32.9670593 L107.095842,32.9670593 L107.095842,17.3256331 L106.739402,17.3256331 C106.026518,17.3256331 105.477886,17.126448 105.093488,16.7280719 C104.70909,16.3296957 104.516894,15.7600963 104.516894,15.0192565 C104.516894,14.2085262 104.719573,13.6179599 105.124938,13.24754 C105.530304,12.8771201 106.187265,12.691913 107.095842,12.691913 L124.267863,12.691913 C125.120528,12.691913 125.697116,12.8212085 125.997646,13.0798036 C126.298175,13.3383986 126.448438,13.8520864 126.448438,14.6208824 L126.448438,19.3175037 C126.448438,20.2680151 126.273714,20.9494377 125.924261,21.361792 C125.574808,21.7741462 125.008703,21.9803202 124.225929,21.9803202 C123.415199,21.9803202 122.831622,21.7706517 122.47518,21.3513084 C122.118738,20.9319652 121.94052,20.254037 121.94052,19.3175037 L121.94052,17.1159625 Z M19.7719369,47.6405477 C20.037521,47.1373358 20.3205734,46.7808993 20.6211028,46.5712277 C20.9216322,46.361556 21.295541,46.2567218 21.7428405,46.2567218 C22.4277678,46.2567218 22.9134998,46.4384345 23.2000511,46.8018653 C23.4866023,47.1652962 23.6298758,47.7873127 23.6298758,48.6679336 L23.6718099,54.119369 C23.6718099,55.0838586 23.5145586,55.7338309 23.2000511,56.0693055 C22.8855436,56.4047802 22.3089553,56.572515 21.4702687,56.572515 C20.8831881,56.572515 20.4254119,56.4292415 20.0969263,56.1426902 C19.7684407,55.856139 19.4993662,55.3424512 19.2896945,54.6016114 C18.9122856,53.2597129 18.3322027,52.3022267 17.5494286,51.7291243 C16.7666545,51.1560218 15.6693894,50.8694748 14.2576003,50.8694748 C12.1049715,50.8694748 10.4590738,51.5963256 9.31985785,53.050049 C8.18064193,54.5037724 7.61104252,56.6074463 7.61104252,59.3611338 C7.61104252,62.1148214 8.20859773,64.2429566 9.40372609,65.7456034 C10.5988544,67.2482501 12.2936748,67.9995623 14.488238,67.9995623 C14.9914499,67.9995623 15.5645438,67.9401562 16.2075368,67.8213423 C16.8505299,67.7025283 17.6053364,67.5173212 18.4719792,67.2657152 L18.4719792,63.9529198 L16.1027015,63.9529198 C15.1521901,63.9529198 14.4777564,63.7781961 14.0793803,63.4287433 C13.6810042,63.0792906 13.4818191,62.4992078 13.4818191,61.6884774 C13.4818191,60.8497908 13.6810042,60.2522356 14.0793803,59.8957938 C14.4777564,59.5393521 15.1521901,59.3611338 16.1027015,59.3611338 L23.6718099,59.3611338 C24.6502776,59.3611338 25.3386891,59.5358576 25.7370653,59.8853103 C26.1354414,60.2347631 26.3346265,60.8218348 26.3346265,61.6465433 C26.3346265,62.3873831 26.1354414,62.9569825 25.7370653,63.3553586 C25.3386891,63.7537347 24.7621008,63.9529198 24.0072829,63.9529198 L23.6718099,63.9529198 L23.6718099,68.9430799 L23.6718099,69.1946846 C23.6718099,69.6419841 23.6228873,69.9529924 23.5250405,70.1277188 C23.4271937,70.3024451 23.2315031,70.4806634 22.9379628,70.6623788 C22.1412106,71.1376345 20.8762107,71.5569715 19.1429251,71.9204023 C17.4096396,72.2838332 15.6554131,72.4655459 13.8801932,72.4655459 C10.2179286,72.4655459 7.25461383,71.2564576 4.99016011,68.8382446 C2.72570638,66.4200317 1.59349651,63.2610264 1.59349651,59.3611338 C1.59349651,55.6010224 2.73968428,52.4769618 5.03209423,49.9888583 C7.32450417,47.5007549 10.2319073,46.2567218 13.7543909,46.2567218 C14.7328585,46.2567218 15.7078171,46.368545 16.6792957,46.5921947 C17.6507743,46.8158445 18.6816444,47.165292 19.7719369,47.6405477 L19.7719369,47.6405477 Z M35.611576,51.5823548 L35.611576,56.4047785 L42.4678043,56.4047785 L42.4678043,51.5823548 L42.1323314,51.5823548 C41.3775135,51.5823548 40.8009251,51.3866642 40.402549,50.9952772 C40.0041729,50.6038901 39.8049878,50.0307962 39.8049878,49.2759783 C39.8049878,48.4512699 40.0111618,47.8572091 40.4235161,47.4937783 C40.8358703,47.1303474 41.5172929,46.9486347 42.4678043,46.9486347 L47.8773056,46.9486347 C48.8278171,46.9486347 49.5022507,47.1303474 49.9006269,47.4937783 C50.299003,47.8572091 50.498188,48.4512699 50.498188,49.2759783 C50.498188,50.0307962 50.3059919,50.6038901 49.9215939,50.9952772 C49.5371959,51.3866642 48.9745854,51.5823548 48.2337456,51.5823548 L47.8773056,51.5823548 L47.8773056,67.2237811 L48.2337456,67.2237811 C48.9885636,67.2237811 49.5616574,67.4159772 49.9530445,67.8003752 C50.3444316,68.1847732 50.5401222,68.7473837 50.5401222,69.4882235 C50.5401222,70.3129319 50.3374426,70.9069927 49.9320774,71.2704235 C49.5267123,71.6338543 48.8417952,71.815567 47.8773056,71.815567 L42.4678043,71.815567 C41.5033148,71.815567 40.8183977,71.6373488 40.4130325,71.280907 C40.0076674,70.9244652 39.8049878,70.32691 39.8049878,69.4882235 C39.8049878,68.7473837 40.0041729,68.1847732 40.402549,67.8003752 C40.8009251,67.4159772 41.3775135,67.2237811 42.1323314,67.2237811 L42.4678043,67.2237811 L42.4678043,61.0384986 L35.611576,61.0384986 L35.611576,67.2237811 L35.9470489,67.2237811 C36.7018668,67.2237811 37.2784552,67.4159772 37.6768313,67.8003752 C38.0752074,68.1847732 38.2743925,68.7473837 38.2743925,69.4882235 C38.2743925,70.3129319 38.0682185,70.9069927 37.6558642,71.2704235 C37.24351,71.6338543 36.5620874,71.815567 35.611576,71.815567 L30.2020747,71.815567 C29.2375851,71.815567 28.552668,71.6373488 28.1473029,71.280907 C27.7419377,70.9244652 27.5392581,70.32691 27.5392581,69.4882235 C27.5392581,68.7473837 27.7349487,68.1847732 28.1263358,67.8003752 C28.5177229,67.4159772 29.0908168,67.2237811 29.8456347,67.2237811 L30.2020747,67.2237811 L30.2020747,51.5823548 L29.8456347,51.5823548 C29.1047949,51.5823548 28.5421844,51.3866642 28.1577864,50.9952772 C27.7733884,50.6038901 27.5811923,50.0307962 27.5811923,49.2759783 C27.5811923,48.4512699 27.7803773,47.8572091 28.1787534,47.4937783 C28.5771296,47.1303474 29.2515632,46.9486347 30.2020747,46.9486347 L35.611576,46.9486347 C36.5481093,46.9486347 37.2260374,47.1303474 37.6453807,47.4937783 C38.064724,47.8572091 38.2743925,48.4512699 38.2743925,49.2759783 C38.2743925,50.0307962 38.0752074,50.6038901 37.6768313,50.9952772 C37.2784552,51.3866642 36.7018668,51.5823548 35.9470489,51.5823548 L35.611576,51.5823548 Z M67.365213,51.5823548 L67.365213,67.2237811 L70.887679,67.2237811 C71.8381904,67.2237811 72.519613,67.4019993 72.9319673,67.7584411 C73.3443215,68.1148829 73.5504955,68.6914712 73.5504955,69.4882235 C73.5504955,70.2989538 73.340827,70.8895201 72.9214837,71.25994 C72.5021404,71.6303599 71.8242123,71.815567 70.887679,71.815567 L58.4332458,71.815567 C57.4827343,71.815567 56.8013117,71.6338543 56.3889575,71.2704235 C55.9766033,70.9069927 55.7704292,70.3129319 55.7704292,69.4882235 C55.7704292,68.6774931 55.9731088,68.0974103 56.378474,67.7479575 C56.7838391,67.3985048 57.4687562,67.2237811 58.4332458,67.2237811 L61.9557117,67.2237811 L61.9557117,51.5823548 L58.4332458,51.5823548 C57.4827343,51.5823548 56.8013117,51.4006421 56.3889575,51.0372113 C55.9766033,50.6737805 55.7704292,50.0867087 55.7704292,49.2759783 C55.7704292,48.4512699 55.9731088,47.8641981 56.378474,47.5147453 C56.7838391,47.1652926 57.4687562,46.9905689 58.4332458,46.9905689 L70.887679,46.9905689 C71.8801247,46.9905689 72.5720308,47.1652926 72.9634178,47.5147453 C73.3548049,47.8641981 73.5504955,48.4512699 73.5504955,49.2759783 C73.5504955,50.0867087 73.347816,50.6737805 72.9424508,51.0372113 C72.5370856,51.4006421 71.8521685,51.5823548 70.887679,51.5823548 L67.365213,51.5823548 Z M97.8608265,51.5823548 L97.8608265,63.1771386 L97.8608265,63.5755127 C97.8608265,65.4485794 97.7385199,66.8044357 97.493903,67.6431222 C97.2492861,68.4818088 96.8404325,69.2296264 96.26733,69.8865976 C95.5264902,70.7392623 94.4991146,71.3822457 93.1851723,71.815567 C91.87123,72.2488884 90.2917273,72.4655459 88.4466169,72.4655459 C87.1466527,72.4655459 85.8921362,72.3397448 84.6830298,72.0881388 C83.4739233,71.8365328 82.3102631,71.4591296 81.1920144,70.9559176 C80.5769776,70.6763554 80.175113,70.31293 79.9864085,69.8656305 C79.797704,69.418331 79.7033532,68.6914802 79.7033532,67.6850564 L79.7033532,63.3658422 C79.7033532,62.1637247 79.8780769,61.3250508 80.2275297,60.849795 C80.5769824,60.3745393 81.185021,60.136915 82.0516638,60.136915 C83.2957156,60.136915 83.9806326,61.0524675 84.1064356,62.8835998 C84.1204137,63.2050963 84.1413806,63.4497096 84.1693368,63.6174469 C84.3370741,65.2389076 84.7144774,66.3466561 85.301558,66.9407258 C85.8886386,67.5347954 86.8251579,67.8318258 88.1111439,67.8318258 C89.7046484,67.8318258 90.8263749,67.4089943 91.476357,66.5633187 C92.126339,65.7176431 92.4513252,64.1765796 92.4513252,61.9400821 L92.4513252,51.5823548 L88.9288593,51.5823548 C87.9783478,51.5823548 87.2969252,51.4006421 86.884571,51.0372113 C86.4722168,50.6737805 86.2660427,50.0867087 86.2660427,49.2759783 C86.2660427,48.4512699 86.4652278,47.8641981 86.8636039,47.5147453 C87.26198,47.1652926 87.9503916,46.9905689 88.9288593,46.9905689 L99.6220595,46.9905689 C100.600527,46.9905689 101.288939,47.1652926 101.687315,47.5147453 C102.085691,47.8641981 102.284876,48.4512699 102.284876,49.2759783 C102.284876,50.0867087 102.078702,50.6737805 101.666348,51.0372113 C101.253994,51.4006421 100.572571,51.5823548 99.6220595,51.5823548 L97.8608265,51.5823548 Z M112.505343,51.5823548 L112.505343,57.9353738 L118.984165,51.4565525 C118.257303,51.3726838 117.747109,51.1665098 117.453569,50.8380242 C117.160029,50.5095387 117.013261,49.9888619 117.013261,49.2759783 C117.013261,48.4512699 117.212446,47.8572091 117.610822,47.4937783 C118.009198,47.1303474 118.683632,46.9486347 119.634143,46.9486347 L124.771073,46.9486347 C125.721584,46.9486347 126.396018,47.1303474 126.794394,47.4937783 C127.19277,47.8572091 127.391955,48.4512699 127.391955,49.2759783 C127.391955,50.0447743 127.19277,50.6213627 126.794394,51.0057607 C126.396018,51.3901587 125.812441,51.5823548 125.043645,51.5823548 L124.561402,51.5823548 L118.459988,57.641835 C119.592215,58.4805215 120.626579,59.5812811 121.563113,60.9441468 C122.499646,62.3070125 123.596911,64.400203 124.854941,67.2237811 L125.127513,67.2237811 L125.546854,67.2237811 C126.371563,67.2237811 126.98659,67.4124827 127.391955,67.7898917 C127.79732,68.1673006 128,68.7334056 128,69.4882235 C128,70.3129319 127.793826,70.9069927 127.381472,71.2704235 C126.969118,71.6338543 126.287695,71.815567 125.337183,71.815567 L122.758235,71.815567 C121.626008,71.815567 120.710456,71.0537715 120.01155,69.5301576 C119.885747,69.2505954 119.787902,69.026949 119.718012,68.8592117 C118.795456,66.9022764 117.949793,65.3926632 117.180997,64.3303269 C116.412201,63.2679906 115.510627,62.2965265 114.476247,61.4159056 L112.505343,63.302941 L112.505343,67.2237811 L112.840816,67.2237811 C113.595634,67.2237811 114.172222,67.4159772 114.570599,67.8003752 C114.968975,68.1847732 115.16816,68.7473837 115.16816,69.4882235 C115.16816,70.3129319 114.961986,70.9069927 114.549631,71.2704235 C114.137277,71.6338543 113.455855,71.815567 112.505343,71.815567 L107.095842,71.815567 C106.131352,71.815567 105.446435,71.6373488 105.04107,71.280907 C104.635705,70.9244652 104.433025,70.32691 104.433025,69.4882235 C104.433025,68.7473837 104.628716,68.1847732 105.020103,67.8003752 C105.41149,67.4159772 105.984584,67.2237811 106.739402,67.2237811 L107.095842,67.2237811 L107.095842,51.5823548 L106.739402,51.5823548 C105.998562,51.5823548 105.435952,51.3866642 105.051554,50.9952772 C104.667156,50.6038901 104.474959,50.0307962 104.474959,49.2759783 C104.474959,48.4512699 104.674145,47.8572091 105.072521,47.4937783 C105.470897,47.1303474 106.14533,46.9486347 107.095842,46.9486347 L112.505343,46.9486347 C113.441877,46.9486347 114.119805,47.1303474 114.539148,47.4937783 C114.958491,47.8572091 115.16816,48.4512699 115.16816,49.2759783 C115.16816,50.0307962 114.968975,50.6038901 114.570599,50.9952772 C114.172222,51.3866642 113.595634,51.5823548 112.840816,51.5823548 L112.505343,51.5823548 Z M13.439885,96.325622 L17.4445933,84.4372993 C17.6961993,83.6545252 18.0456468,83.0849258 18.4929463,82.728484 C18.9402458,82.3720422 19.5343065,82.193824 20.2751463,82.193824 L23.5460076,82.193824 C24.496519,82.193824 25.1779416,82.3755367 25.5902958,82.7389675 C26.0026501,83.1023984 26.2088241,83.6964591 26.2088241,84.5211676 C26.2088241,85.2759855 26.009639,85.8490794 25.6112629,86.2404664 C25.2128868,86.6318535 24.6362984,86.8275441 23.8814805,86.8275441 L23.5460076,86.8275441 L24.1330852,102.46897 L24.4895252,102.46897 C25.2443431,102.46897 25.8104481,102.661166 26.187857,103.045564 C26.565266,103.429962 26.7539676,103.992573 26.7539676,104.733413 C26.7539676,105.558121 26.5547826,106.152182 26.1564064,106.515613 C25.7580303,106.879044 25.0835967,107.060756 24.1330852,107.060756 L19.4154969,107.060756 C18.4649855,107.060756 17.7905518,106.882538 17.3921757,106.526096 C16.9937996,106.169654 16.7946145,105.572099 16.7946145,104.733413 C16.7946145,103.992573 16.9868106,103.429962 17.3712086,103.045564 C17.7556066,102.661166 18.325206,102.46897 19.0800239,102.46897 L19.4154969,102.46897 L19.1219581,89.6790642 L16.0607674,99.1981091 C15.8371177,99.9109927 15.5191204,100.42468 15.1067662,100.739188 C14.694412,101.053695 14.1248126,101.210947 13.3979509,101.210947 C12.6710892,101.210947 12.0945008,101.053695 11.6681685,100.739188 C11.2418362,100.42468 10.91685,99.9109927 10.6932002,99.1981091 L7.65297664,89.6790642 L7.35943781,102.46897 L7.69491075,102.46897 C8.44972866,102.46897 9.01932808,102.661166 9.40372609,103.045564 C9.78812409,103.429962 9.98032022,103.992573 9.98032022,104.733413 C9.98032022,105.558121 9.77764067,106.152182 9.3722755,106.515613 C8.96691032,106.879044 8.29597114,107.060756 7.35943781,107.060756 L2.62088241,107.060756 C1.68434908,107.060756 1.01340989,106.879044 0.608044719,106.515613 C0.202679546,106.152182 0,105.558121 0,104.733413 C0,103.992573 0.192196121,103.429962 0.57659413,103.045564 C0.960992139,102.661166 1.53059155,102.46897 2.28540946,102.46897 L2.62088241,102.46897 L3.22892713,86.8275441 L2.89345418,86.8275441 C2.13863627,86.8275441 1.56204791,86.6318535 1.16367179,86.2404664 C0.765295672,85.8490794 0.5661106,85.2759855 0.5661106,84.5211676 C0.5661106,83.6964591 0.772284622,83.1023984 1.18463885,82.7389675 C1.59699308,82.3755367 2.27841569,82.193824 3.22892713,82.193824 L6.49978838,82.193824 C7.22665007,82.193824 7.81022738,82.3685477 8.25053783,82.7180005 C8.69084827,83.0674532 9.05077919,83.6405471 9.33034138,84.4372993 L13.439885,96.325622 Z M43.8935644,98.3803938 L43.8935644,86.8275441 L42.7403761,86.8275441 C41.8178209,86.8275441 41.1573651,86.6458314 40.758989,86.2824006 C40.3606129,85.9189697 40.1614278,85.3318979 40.1614278,84.5211676 C40.1614278,83.7104372 40.3606129,83.119871 40.758989,82.7494511 C41.1573651,82.3790312 41.8178209,82.193824 42.7403761,82.193824 L48.6950209,82.193824 C49.6035981,82.193824 50.2605593,82.3790312 50.6659245,82.7494511 C51.0712897,83.119871 51.2739692,83.7104372 51.2739692,84.5211676 C51.2739692,85.2620074 51.0817731,85.8316068 50.6973751,86.2299829 C50.3129771,86.628359 49.7643445,86.8275441 49.051461,86.8275441 L48.6950209,86.8275441 L48.6950209,105.865634 C48.6950209,106.522605 48.6251315,106.934953 48.4853504,107.10269 C48.3455693,107.270428 48.0310665,107.354295 47.5418327,107.354295 L45.4451268,107.354295 C44.7741775,107.354295 44.3024234,107.284406 44.0298503,107.144625 C43.7572771,107.004843 43.5231473,106.76023 43.3274538,106.410777 L34.6051571,91.0838571 L34.6051571,102.46897 L35.8212466,102.46897 C36.7298237,102.46897 37.379796,102.643694 37.7711831,102.993147 C38.1625701,103.3426 38.3582607,103.922682 38.3582607,104.733413 C38.3582607,105.558121 38.1590757,106.152182 37.7606995,106.515613 C37.3623234,106.879044 36.7158456,107.060756 35.8212466,107.060756 L29.8037005,107.060756 C28.8951234,107.060756 28.2381621,106.879044 27.832797,106.515613 C27.4274318,106.152182 27.2247522,105.558121 27.2247522,104.733413 C27.2247522,103.992573 27.4134539,103.429962 27.7908629,103.045564 C28.1682718,102.661166 28.7273878,102.46897 29.4682276,102.46897 L29.8037005,102.46897 L29.8037005,86.8275441 L29.4682276,86.8275441 C28.755344,86.8275441 28.203217,86.628359 27.8118299,86.2299829 C27.4204428,85.8316068 27.2247522,85.2620074 27.2247522,84.5211676 C27.2247522,83.7104372 27.4309263,83.119871 27.8432805,82.7494511 C28.2556347,82.3790312 28.9091015,82.193824 29.8037005,82.193824 L33.2422983,82.193824 C34.0670067,82.193824 34.6261227,82.3021527 34.919663,82.5188134 C35.2132033,82.7354741 35.5416839,83.1722835 35.9051148,83.8292546 L43.8935644,98.3803938 Z M64.6604624,86.3662688 C62.8572863,86.3662688 61.4420239,87.0931196 60.4146329,88.546843 C59.3872418,90.0005663 58.873554,92.0203728 58.873554,94.6063231 C58.873554,97.1922733 59.3907363,99.2190688 60.4251164,100.68677 C61.4594965,102.154472 62.8712644,102.888312 64.6604624,102.888312 C66.4636385,102.888312 67.8823953,102.157966 68.9167754,100.697254 C69.9511555,99.2365414 70.4683378,97.2062514 70.4683378,94.6063231 C70.4683378,92.0203728 69.95465,90.0005663 68.9272589,88.546843 C67.8998679,87.0931196 66.4776166,86.3662688 64.6604624,86.3662688 L64.6604624,86.3662688 Z M64.6604624,81.501911 C68.0990773,81.501911 70.929602,82.7319662 73.1521214,85.1921135 C75.3746408,87.6522607 76.4858838,90.7902992 76.4858838,94.6063231 C76.4858838,98.4503032 75.3816297,101.595331 73.1730884,104.0415 C70.9645471,106.487669 68.1270335,107.710735 64.6604624,107.710735 C61.2358256,107.710735 58.4053009,106.477185 56.1688034,104.010049 C53.9323059,101.542913 52.8140739,98.4083688 52.8140739,94.6063231 C52.8140739,90.7763211 53.9218224,87.6347881 56.1373528,85.1816299 C58.3528831,82.7284717 61.1938912,81.501911 64.6604624,81.501911 L64.6604624,81.501911 Z M87.4611651,98.1707232 L87.4611651,102.46897 L89.6207722,102.46897 C90.5293493,102.46897 91.1758272,102.643694 91.5602252,102.993147 C91.9446232,103.3426 92.1368193,103.922682 92.1368193,104.733413 C92.1368193,105.558121 91.9411287,106.152182 91.5497417,106.515613 C91.1583546,106.879044 90.5153712,107.060756 89.6207722,107.060756 L82.3661697,107.060756 C81.4436145,107.060756 80.7831587,106.879044 80.3847826,106.515613 C79.9864065,106.152182 79.7872214,105.558121 79.7872214,104.733413 C79.7872214,103.992573 79.9759231,103.429962 80.353332,103.045564 C80.730741,102.661166 81.282868,102.46897 82.0097297,102.46897 L82.3661697,102.46897 L82.3661697,86.8275441 L82.0097297,86.8275441 C81.2968461,86.8275441 80.7482136,86.628359 80.3638155,86.2299829 C79.9794175,85.8316068 79.7872214,85.2620074 79.7872214,84.5211676 C79.7872214,83.7104372 79.989901,83.119871 80.3952661,82.7494511 C80.8006313,82.3790312 81.4575926,82.193824 82.3661697,82.193824 L91.0255652,82.193824 C94.450202,82.193824 97.0396079,82.8507853 98.7938606,84.1647276 C100.548113,85.4786699 101.425227,87.414609 101.425227,89.972603 C101.425227,92.6703781 100.551608,94.7111515 98.8043442,96.0949843 C97.0570805,97.4788171 94.4641801,98.1707232 91.0255652,98.1707232 L87.4611651,98.1707232 Z M87.4611651,86.8275441 L87.4611651,93.4531348 L90.4384875,93.4531348 C92.0879044,93.4531348 93.328443,93.1735768 94.1601405,92.6144525 C94.9918381,92.0553281 95.4076806,91.2166541 95.4076806,90.0984053 C95.4076806,89.0500471 94.9778602,88.2428234 94.1182064,87.67671 C93.2585527,87.1105966 92.031992,86.8275441 90.4384875,86.8275441 L87.4611651,86.8275441 Z M114.727851,107.396229 L113.092421,109.03166 C113.69348,108.835966 114.284046,108.689198 114.864137,108.591352 C115.444229,108.493505 116.013828,108.444582 116.572953,108.444582 C117.677223,108.444582 118.840883,108.608823 120.063968,108.937308 C121.287053,109.265794 122.031376,109.430034 122.29696,109.430034 C122.744259,109.430034 123.327837,109.279772 124.047709,108.979242 C124.767582,108.678713 125.253314,108.52845 125.50492,108.52845 C126.02211,108.52845 126.45193,108.727636 126.794394,109.126012 C127.136858,109.524388 127.308087,110.024098 127.308087,110.625156 C127.308087,111.421909 126.836333,112.099837 125.892811,112.658961 C124.949288,113.218086 123.792617,113.497643 122.422762,113.497643 C121.486229,113.497643 120.28413,113.277492 118.816428,112.837181 C117.348727,112.396871 116.286406,112.176719 115.629435,112.176719 C114.636989,112.176719 113.518757,112.449288 112.274706,112.994434 C111.030654,113.53958 110.261869,113.812149 109.968329,113.812149 C109.36727,113.812149 108.857077,113.612964 108.437734,113.214588 C108.01839,112.816212 107.808722,112.337469 107.808722,111.778345 C107.808722,111.386958 107.941512,110.971115 108.207096,110.530805 C108.47268,110.090494 108.94094,109.520895 109.611889,108.821989 L111.729562,106.683349 C109.395218,105.830685 107.536157,104.29661 106.152324,102.08108 C104.768491,99.8655494 104.076585,97.3180772 104.076585,94.4385866 C104.076585,90.6365409 105.180839,87.5299526 107.389381,85.1187288 C109.597922,82.7075049 112.442425,81.501911 115.922974,81.501911 C119.389545,81.501911 122.227059,82.7109994 124.4356,85.1292123 C126.644141,87.5474252 127.748395,90.650519 127.748395,94.4385866 C127.748395,98.2126762 126.65113,101.322759 124.456567,103.768928 C122.262004,106.215097 119.480402,107.438163 116.111677,107.438163 C115.888028,107.438163 115.660887,107.434669 115.430248,107.42768 C115.199609,107.420691 114.965479,107.410207 114.727851,107.396229 L114.727851,107.396229 Z M115.922974,86.3662688 C114.119798,86.3662688 112.704535,87.0931196 111.677144,88.546843 C110.649753,90.0005663 110.136065,92.0203728 110.136065,94.6063231 C110.136065,97.1922733 110.653248,99.2190688 111.687628,100.68677 C112.722008,102.154472 114.133776,102.888312 115.922974,102.888312 C117.72615,102.888312 119.144907,102.157966 120.179287,100.697254 C121.213667,99.2365414 121.730849,97.2062514 121.730849,94.6063231 C121.730849,92.0203728 121.217161,90.0005663 120.18977,88.546843 C119.162379,87.0931196 117.740128,86.3662688 115.922974,86.3662688 L115.922974,86.3662688 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/mono-line": {
"title": "$:/core/images/mono-line",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-mono-line tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M60.4374591,84.522627 L61.3450888,84.522627 C63.2671377,84.522627 64.7264493,85.0120303 65.7230673,85.9908515 C66.7196852,86.9696727 67.2179868,88.4022896 67.2179868,90.288745 C67.2179868,92.3887615 66.6929905,93.9014625 65.6429823,94.8268935 C64.5929741,95.7523244 62.857817,96.215033 60.4374591,96.215033 L44.3670747,96.215033 C41.9111232,96.215033 40.1670679,95.7612227 39.1348565,94.8535884 C38.102645,93.9459542 37.586547,92.424355 37.586547,90.288745 C37.586547,88.2243221 38.102645,86.747214 39.1348565,85.8573766 C40.1670679,84.9675391 41.9111232,84.522627 44.3670747,84.522627 L46.235724,84.522627 L44.0467348,78.2759992 L20.9822627,78.2759992 L18.6864935,84.522627 L20.5551429,84.522627 C22.9755008,84.522627 24.7106579,84.9764373 25.7606661,85.8840716 C26.8106743,86.7917058 27.3356705,88.2599156 27.3356705,90.288745 C27.3356705,92.3887615 26.8106743,93.9014625 25.7606661,94.8268935 C24.7106579,95.7523244 22.9755008,96.215033 20.5551429,96.215033 L6.78052766,96.215033 C4.32457622,96.215033 2.58052094,95.7523244 1.54830946,94.8268935 C0.516097994,93.9014625 0,92.3887615 0,90.288745 C0,88.4022896 0.498301511,86.9696727 1.49491948,85.9908515 C2.49153745,85.0120303 3.95084902,84.522627 5.87289797,84.522627 L6.78052766,84.522627 L21.0890427,44.6937008 L16.8178442,44.6937008 C14.3974863,44.6937008 12.6623292,44.2309922 11.612321,43.3055613 C10.5623128,42.3801303 10.0373165,40.8852258 10.0373165,38.8208028 C10.0373165,36.7207864 10.5623128,35.2080854 11.612321,34.2826544 C12.6623292,33.3572234 14.3974863,32.8945149 16.8178442,32.8945149 L36.8390873,32.8945149 C40.0069087,32.8945149 42.231469,34.6029772 43.512835,38.0199531 L43.512835,38.180123 L60.4374591,84.522627 Z M32.4611088,44.6937008 L24.7195615,67.224273 L40.2026561,67.224273 L32.4611088,44.6937008 Z M89.5058233,68.5590225 L89.5058233,84.8429669 L97.5143205,84.8429669 C103.173687,84.8429669 107.160099,84.22009 109.473676,82.9743176 C111.787254,81.7285451 112.944025,79.6463566 112.944025,76.7276897 C112.944025,73.7734293 111.840643,71.6734444 109.633846,70.4276719 C107.427049,69.1818994 103.565213,68.5590225 98.0482204,68.5590225 L89.5058233,68.5590225 Z M116.734714,62.6327346 C120.614405,64.0564746 123.461842,66.0051894 125.277111,68.4789376 C127.092379,70.9526857 128,74.1115614 128,77.9556593 C128,81.1946677 127.216955,84.1488838 125.650841,86.8183962 C124.084727,89.4879087 121.84237,91.676876 118.923703,93.385364 C117.215215,94.3819819 115.302093,95.1027395 113.18428,95.5476582 C111.066467,95.9925769 108.06776,96.215033 104.188068,96.215033 L99.7033098,96.215033 L76.3184979,96.215033 C73.9693269,96.215033 72.2875593,95.7523244 71.2731446,94.8268935 C70.2587299,93.9014625 69.7515301,92.3887615 69.7515301,90.288745 C69.7515301,88.4022896 70.2320352,86.9696727 71.1930596,85.9908515 C72.1540841,85.0120303 73.5600062,84.522627 75.4108682,84.522627 L76.3184979,84.522627 L76.3184979,44.6937008 L75.4108682,44.6937008 C73.5600062,44.6937008 72.1540841,44.1953993 71.1930596,43.1987813 C70.2320352,42.2021633 69.7515301,40.7428518 69.7515301,38.8208028 C69.7515301,36.7563799 70.2676281,35.2525771 71.2998396,34.3093494 C72.3320511,33.3661217 74.0049204,32.8945149 76.3184979,32.8945149 L100.877889,32.8945149 C108.388118,32.8945149 114.09189,34.3538264 117.989378,37.2724934 C121.886867,40.1911603 123.835581,44.4623161 123.835581,50.0860889 C123.835581,52.8623819 123.239399,55.3093982 122.047017,57.4272114 C120.854635,59.5450246 119.083885,61.2801816 116.734714,62.6327346 L116.734714,62.6327346 Z M89.5058233,44.3733609 L89.5058233,57.8276363 L96.7134708,57.8276363 C101.091471,57.8276363 104.179161,57.3115383 105.976633,56.2793268 C107.774104,55.2471153 108.672827,53.50306 108.672827,51.0471086 C108.672827,48.7335312 107.863087,47.0428653 106.243583,45.9750604 C104.624078,44.9072554 101.999097,44.3733609 98.3685602,44.3733609 L89.5058233,44.3733609 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/new-button": {
"title": "$:/core/images/new-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-new-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M56,72 L8.00697327,72 C3.59075293,72 0,68.418278 0,64 C0,59.5907123 3.58484404,56 8.00697327,56 L56,56 L56,8.00697327 C56,3.59075293 59.581722,0 64,0 C68.4092877,0 72,3.58484404 72,8.00697327 L72,56 L119.993027,56 C124.409247,56 128,59.581722 128,64 C128,68.4092877 124.415156,72 119.993027,72 L72,72 L72,119.993027 C72,124.409247 68.418278,128 64,128 C59.5907123,128 56,124.415156 56,119.993027 L56,72 L56,72 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/new-here-button": {
"title": "$:/core/images/new-here-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-new-here-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n \t<g transform=\"translate(52.233611, 64.389922) rotate(75.000000) translate(-52.233611, -64.389922) translate(-7.734417, 3.702450)\">\n\t <path d=\"M18.9270186,45.959338 L18.9080585,49.6521741 C18.8884833,53.4648378 21.0574548,58.7482162 23.7526408,61.4434022 L78.5671839,116.257945 C81.2617332,118.952495 85.6348701,118.950391 88.3334363,116.251825 L115.863237,88.7220241 C118.555265,86.0299959 118.564544,81.6509578 115.869358,78.9557717 L61.0548144,24.1412286 C58.3602652,21.4466794 53.0787224,19.2788426 49.2595808,19.3006519 L25.9781737,19.4336012 C22.1633003,19.4553862 19.0471195,22.5673232 19.0275223,26.3842526 L18.9871663,34.2443819 C19.0818862,34.255617 19.1779758,34.2665345 19.2754441,34.2771502 C22.6891275,34.6489512 27.0485594,34.2348566 31.513244,33.2285542 C31.7789418,32.8671684 32.075337,32.5211298 32.4024112,32.1940556 C34.8567584,29.7397084 38.3789778,29.0128681 41.4406288,30.0213822 C41.5958829,29.9543375 41.7503946,29.8866669 41.9041198,29.8183808 L42.1110981,30.2733467 C43.1114373,30.6972371 44.0473796,31.3160521 44.8614145,32.1300869 C48.2842088,35.5528813 48.2555691,41.130967 44.7974459,44.5890903 C41.4339531,47.952583 36.0649346,48.0717177 32.6241879,44.9262969 C27.8170558,45.8919233 23.0726921,46.2881596 18.9270186,45.959338 Z\"></path>\n\t <path d=\"M45.4903462,38.8768094 C36.7300141,42.6833154 26.099618,44.7997354 18.1909048,43.9383587 C7.2512621,42.7468685 1.50150083,35.8404432 4.66865776,24.7010202 C7.51507386,14.6896965 15.4908218,6.92103848 24.3842626,4.38423012 C34.1310219,1.60401701 42.4070208,6.15882777 42.4070209,16.3101169 L34.5379395,16.310117 C34.5379394,11.9285862 31.728784,10.3825286 26.5666962,11.8549876 C20.2597508,13.6540114 14.3453742,19.4148216 12.2444303,26.8041943 C10.4963869,32.9523565 12.6250796,35.5092726 19.0530263,36.2093718 C25.5557042,36.9176104 35.0513021,34.9907189 42.7038419,31.5913902 L42.7421786,31.6756595 C44.3874154,31.5384763 47.8846101,37.3706354 45.9274416,38.6772897 L45.9302799,38.6835285 C45.9166992,38.6895612 45.9031139,38.6955897 45.8895238,38.7016142 C45.8389288,38.7327898 45.7849056,38.7611034 45.7273406,38.7863919 C45.6506459,38.8200841 45.571574,38.8501593 45.4903462,38.8768094 Z\"></path>\n </g>\n <rect x=\"96\" y=\"80\" width=\"16\" height=\"48\" rx=\"8\"></rect>\n <rect x=\"80\" y=\"96\" width=\"48\" height=\"16\" rx=\"8\"></rect>\n </g>\n </g>\n</svg>"
},
"$:/core/images/new-image-button": {
"title": "$:/core/images/new-image-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-new-image-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M81.3619177,73.6270062 L97.1875317,46.2162388 C97.91364,44.9585822 97.4824378,43.3533085 96.2260476,42.6279312 L46.2162388,13.7547547 C44.9585822,13.0286463 43.3533085,13.4598485 42.6279312,14.7162388 L30.0575956,36.4886988 L40.0978909,31.2276186 C43.1404959,29.6333041 46.8692155,31.3421319 47.6479264,34.6877101 L51.2545483,52.3903732 L61.1353556,53.2399953 C63.2899974,53.4346096 65.1046382,54.9309951 65.706105,57.0091178 C65.7395572,57.1246982 65.8069154,57.3539875 65.9047035,57.6813669 C66.0696435,58.2335608 66.2581528,58.852952 66.4667073,59.5238092 C67.0618822,61.4383079 67.6960725,63.3742727 68.3393254,65.2021174 C68.5462918,65.7902259 68.7511789,66.3583016 68.953259,66.9034738 C69.5777086,68.5881157 70.1617856,70.0172008 70.6783305,71.110045 C70.9334784,71.6498566 71.1627732,72.0871602 71.4035746,72.5373068 C71.6178999,72.7492946 71.9508843,72.9623307 72.4151452,73.1586945 C73.5561502,73.6412938 75.1990755,73.899146 77.0720271,73.9171651 C77.9355886,73.9254732 78.7819239,73.8832103 79.5638842,73.8072782 C80.0123946,73.7637257 80.3172916,73.7224469 80.4352582,73.7027375 C80.7503629,73.6500912 81.0598053,73.6256267 81.3619177,73.6270062 L81.3619177,73.6270062 L81.3619177,73.6270062 L81.3619177,73.6270062 Z M37.4707881,2.64867269 C38.9217993,0.135447653 42.1388058,-0.723707984 44.6486727,0.725364314 L108.293614,37.4707881 C110.806839,38.9217993 111.665994,42.1388058 110.216922,44.6486727 L73.4714982,108.293614 C72.0204871,110.806839 68.8034805,111.665994 66.2936136,110.216922 L2.64867269,73.4714982 C0.135447653,72.0204871 -0.723707984,68.8034805 0.725364314,66.2936136 L37.4707881,2.64867269 L37.4707881,2.64867269 L37.4707881,2.64867269 L37.4707881,2.64867269 Z M80.3080975,53.1397764 C82.8191338,54.5895239 86.0299834,53.7291793 87.4797308,51.218143 C88.9294783,48.7071068 88.0691338,45.4962571 85.5580975,44.0465097 C83.0470612,42.5967622 79.8362116,43.4571068 78.3864641,45.968143 C76.9367166,48.4791793 77.7970612,51.6900289 80.3080975,53.1397764 L80.3080975,53.1397764 L80.3080975,53.1397764 L80.3080975,53.1397764 Z M96,112 L88.0070969,112 C83.5881712,112 80,108.418278 80,104 C80,99.5907123 83.5848994,96 88.0070969,96 L96,96 L96,88.0070969 C96,83.5881712 99.581722,80 104,80 C108.409288,80 112,83.5848994 112,88.0070969 L112,96 L119.992903,96 C124.411829,96 128,99.581722 128,104 C128,108.409288 124.415101,112 119.992903,112 L112,112 L112,119.992903 C112,124.411829 108.418278,128 104,128 C99.5907123,128 96,124.415101 96,119.992903 L96,112 L96,112 Z M33.3471097,51.7910932 C40.7754579,59.7394511 42.3564368,62.4818351 40.7958321,65.1848818 C39.2352273,67.8879286 26.9581062,62.8571718 24.7019652,66.7649227 C22.4458242,70.6726735 23.7947046,70.0228006 22.2648667,72.6725575 L41.9944593,84.0634431 C41.9944593,84.0634431 36.3904568,75.8079231 37.7602356,73.4353966 C40.2754811,69.0788636 46.5298923,72.1787882 48.1248275,69.4162793 C50.538989,65.234829 43.0222016,59.7770885 33.3471097,51.7910932 L33.3471097,51.7910932 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/new-journal-button": {
"title": "$:/core/images/new-journal-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-new-journal-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M102.545455,112.818182 L102.545455,124.636364 L102.545455,124.636364 L102.545455,124.636364 C102.545455,125.941761 103.630828,127 104.969697,127 L111.030303,127 C112.369172,127 113.454545,125.941761 113.454545,124.636364 L113.454545,112.818182 L125.575758,112.818182 C126.914626,112.818182 128,111.759982 128,110.454545 L128,104.545455 C128,103.240018 126.914626,102.181818 125.575758,102.181818 L113.454545,102.181818 L113.454545,90.3636364 C113.454545,89.0582 112.369172,88 111.030303,88 L104.969697,88 L104.969697,88 C103.630828,88 102.545455,89.0582 102.545455,90.3636364 L102.545455,102.181818 L90.4242424,102.181818 L90.4242424,102.181818 C89.0853705,102.181818 88,103.240018 88,104.545455 L88,110.454545 L88,110.454545 L88,110.454545 C88,111.759982 89.0853705,112.818182 90.4242424,112.818182 L102.545455,112.818182 Z\"></path>\n <g transform=\"translate(59.816987, 64.316987) rotate(30.000000) translate(-59.816987, -64.316987) translate(20.316987, 12.816987)\">\n <g transform=\"translate(0.000000, 0.000000)\">\n <path d=\"M9.99631148,0 C4.4755011,0 -2.27373675e-13,4.48070044 -2.27373675e-13,9.99759461 L-2.27373675e-13,91.6128884 C-2.27373675e-13,97.1344074 4.46966773,101.610483 9.99631148,101.610483 L68.9318917,101.610483 C74.4527021,101.610483 78.9282032,97.1297826 78.9282032,91.6128884 L78.9282032,9.99759461 C78.9282032,4.47607557 74.4585355,0 68.9318917,0 L9.99631148,0 Z M20.8885263,26 C24.2022348,26 26.8885263,23.3137085 26.8885263,20 C26.8885263,16.6862915 24.2022348,14 20.8885263,14 C17.5748178,14 14.8885263,16.6862915 14.8885263,20 C14.8885263,23.3137085 17.5748178,26 20.8885263,26 Z M57.3033321,25.6783342 C60.6170406,25.6783342 63.3033321,22.9920427 63.3033321,19.6783342 C63.3033321,16.3646258 60.6170406,13.6783342 57.3033321,13.6783342 C53.9896236,13.6783342 51.3033321,16.3646258 51.3033321,19.6783342 C51.3033321,22.9920427 53.9896236,25.6783342 57.3033321,25.6783342 Z\"></path>\n <text font-family=\"Helvetica\" font-size=\"47.1724138\" font-weight=\"bold\" fill=\"#FFFFFF\">\n <tspan x=\"42\" y=\"77.4847912\" text-anchor=\"middle\"><<now \"DD\">></tspan>\n </text>\n </g>\n </g>\n </g>\n</svg>"
},
"$:/core/images/opacity": {
"title": "$:/core/images/opacity",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-opacity tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M102.361773,65 C101.833691,67.051742 101.183534,69.0544767 100.419508,71 L82.5835324,71 C83.7602504,69.1098924 84.7666304,67.1027366 85.581205,65 L102.361773,65 Z M102.834311,63 C103.256674,61.0388326 103.568427,59.0365486 103.762717,57 L87.6555706,57 C87.3692052,59.0609452 86.9083652,61.0660782 86.2884493,63 L102.834311,63 Z M99.5852583,73 C98.6682925,75.0747721 97.6196148,77.0783056 96.4498253,79 L75.8124196,79 C77.8387053,77.2115633 79.6621163,75.1985844 81.2437158,73 L99.5852583,73 Z M95.1689122,81 C93.7449202,83.1155572 92.1695234,85.1207336 90.458251,87 L60.4614747,87 C65.1836162,85.86248 69.5430327,83.794147 73.3347255,81 L95.1689122,81 Z M87.6555706,47 L103.762717,47 C101.246684,20.6269305 79.0321807,0 52,0 C23.281193,0 0,23.281193 0,52 C0,77.2277755 17.9651296,98.2595701 41.8000051,103 L62.1999949,103 C67.8794003,101.870444 73.2255333,99.8158975 78.074754,97 L39,97 L39,95 L81.2493857,95 C83.8589242,93.2215015 86.2981855,91.2116653 88.5376609,89 L39,89 L39,87 L43.5385253,87 C27.7389671,83.1940333 16,68.967908 16,52 C16,32.117749 32.117749,16 52,16 C70.1856127,16 85.2217929,29.4843233 87.6555706,47 Z M87.8767787,49 L103.914907,49 C103.971379,49.9928025 104,50.9930589 104,52 C104,53.0069411 103.971379,54.0071975 103.914907,55 L87.8767787,55 C87.958386,54.0107999 88,53.0102597 88,52 C88,50.9897403 87.958386,49.9892001 87.8767787,49 Z\"></path>\n <path d=\"M76,128 C104.718807,128 128,104.718807 128,76 C128,47.281193 104.718807,24 76,24 C47.281193,24 24,47.281193 24,76 C24,104.718807 47.281193,128 76,128 L76,128 Z M76,112 C95.882251,112 112,95.882251 112,76 C112,56.117749 95.882251,40 76,40 C56.117749,40 40,56.117749 40,76 C40,95.882251 56.117749,112 76,112 L76,112 Z\"></path>\n <path d=\"M37,58 L90,58 L90,62 L37,62 L37,58 L37,58 Z M40,50 L93,50 L93,54 L40,54 L40,50 L40,50 Z M40,42 L93,42 L93,46 L40,46 L40,42 L40,42 Z M32,66 L85,66 L85,70 L32,70 L32,66 L32,66 Z M30,74 L83,74 L83,78 L30,78 L30,74 L30,74 Z M27,82 L80,82 L80,86 L27,86 L27,82 L27,82 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/open-window": {
"title": "$:/core/images/open-window",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-open-window tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M16,112 L104.993898,112 C108.863261,112 112,115.590712 112,120 C112,124.418278 108.858091,128 104.993898,128 L7.00610161,128 C3.13673853,128 0,124.409288 0,120 C0,119.998364 4.30952878e-07,119.996727 1.29273572e-06,119.995091 C4.89579306e-07,119.993456 0,119.99182 0,119.990183 L0,24.0098166 C0,19.586117 3.59071231,16 8,16 C12.418278,16 16,19.5838751 16,24.0098166 L16,112 Z\"></path>\n <path d=\"M96,43.1959595 L96,56 C96,60.418278 99.581722,64 104,64 C108.418278,64 112,60.418278 112,56 L112,24 C112,19.5907123 108.415101,16 103.992903,16 L72.0070969,16 C67.5881712,16 64,19.581722 64,24 C64,28.4092877 67.5848994,32 72.0070969,32 L84.5685425,32 L48.2698369,68.2987056 C45.1421332,71.4264093 45.1434327,76.4904296 48.267627,79.614624 C51.3854642,82.7324612 56.4581306,82.7378289 59.5835454,79.6124141 L96,43.1959595 Z M32,7.9992458 C32,3.58138434 35.5881049,0 39.9992458,0 L120.000754,0 C124.418616,0 128,3.5881049 128,7.9992458 L128,88.0007542 C128,92.4186157 124.411895,96 120.000754,96 L39.9992458,96 C35.5813843,96 32,92.4118951 32,88.0007542 L32,7.9992458 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/options-button": {
"title": "$:/core/images/options-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-options-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M110.48779,76.0002544 C109.354214,80.4045063 107.611262,84.5641217 105.354171,88.3838625 L105.354171,88.3838625 L112.07833,95.1080219 C115.20107,98.2307613 115.210098,103.299824 112.089164,106.420759 L106.420504,112.089418 C103.301049,115.208874 98.2346851,115.205502 95.1077675,112.078585 L88.3836082,105.354425 C84.5638673,107.611516 80.4042519,109.354468 76,110.488045 L76,110.488045 L76,119.993281 C76,124.409501 72.4220153,128.000254 68.0083475,128.000254 L59.9916525,128.000254 C55.5800761,128.000254 52,124.41541 52,119.993281 L52,110.488045 C47.5957481,109.354468 43.4361327,107.611516 39.6163918,105.354425 L32.8922325,112.078585 C29.7694931,115.201324 24.7004301,115.210353 21.5794957,112.089418 L15.9108363,106.420759 C12.7913807,103.301303 12.7947522,98.2349395 15.9216697,95.1080219 L22.6458291,88.3838625 C20.3887383,84.5641217 18.6457859,80.4045063 17.5122098,76.0002544 L8.00697327,76.0002544 C3.59075293,76.0002544 2.19088375e-16,72.4222697 4.89347582e-16,68.0086019 L9.80228577e-16,59.9919069 C1.25035972e-15,55.5803305 3.58484404,52.0002544 8.00697327,52.0002544 L17.5122098,52.0002544 C18.6457859,47.5960025 20.3887383,43.4363871 22.6458291,39.6166462 L15.9216697,32.8924868 C12.7989304,29.7697475 12.7899019,24.7006845 15.9108363,21.5797501 L21.5794957,15.9110907 C24.6989513,12.7916351 29.7653149,12.7950065 32.8922325,15.9219241 L39.6163918,22.6460835 C43.4361327,20.3889927 47.5957481,18.6460403 52,17.5124642 L52,8.00722764 C52,3.5910073 55.5779847,0.000254375069 59.9916525,0.000254375069 L68.0083475,0.000254375069 C72.4199239,0.000254375069 76,3.58509841 76,8.00722764 L76,17.5124642 C80.4042519,18.6460403 84.5638673,20.3889927 88.3836082,22.6460835 L95.1077675,15.9219241 C98.2305069,12.7991848 103.29957,12.7901562 106.420504,15.9110907 L112.089164,21.5797501 C115.208619,24.6992057 115.205248,29.7655693 112.07833,32.8924868 L105.354171,39.6166462 L105.354171,39.6166462 C107.611262,43.4363871 109.354214,47.5960025 110.48779,52.0002544 L119.993027,52.0002544 C124.409247,52.0002544 128,55.5782391 128,59.9919069 L128,68.0086019 C128,72.4201783 124.415156,76.0002544 119.993027,76.0002544 L110.48779,76.0002544 L110.48779,76.0002544 Z M64,96.0002544 C81.673112,96.0002544 96,81.6733664 96,64.0002544 C96,46.3271424 81.673112,32.0002544 64,32.0002544 C46.326888,32.0002544 32,46.3271424 32,64.0002544 C32,81.6733664 46.326888,96.0002544 64,96.0002544 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/paint": {
"title": "$:/core/images/paint",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-paint tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M83.5265806,76.1907935 C90.430962,69.2864121 91.8921169,59.0000433 87.9100453,50.6642209 L125.812763,12.7615036 C128.732035,9.84223095 128.72611,5.10322984 125.812796,2.18991592 C122.893542,-0.729338085 118.161775,-0.730617045 115.241209,2.18994966 L77.3384914,40.092667 C69.002669,36.1105954 58.7163002,37.5717503 51.8119188,44.4761317 L83.5265806,76.1907935 L83.5265806,76.1907935 L83.5265806,76.1907935 L83.5265806,76.1907935 Z M80.8836921,78.8336819 L49.1690303,47.1190201 C49.1690303,47.1190201 8.50573364,81.242543 0,80.2820711 C0,80.2820711 3.78222974,85.8744423 6.82737483,88.320684 C20.8514801,82.630792 44.1526049,63.720771 44.1526049,63.720771 L44.8144806,64.3803375 C44.8144806,64.3803375 19.450356,90.2231043 9.18040433,92.0477601 C10.4017154,93.4877138 13.5343883,96.1014812 15.4269991,97.8235871 C20.8439164,96.3356979 50.1595367,69.253789 50.1595367,69.253789 L50.8214124,69.9133555 L18.4136144,100.936036 L23.6993903,106.221812 L56.1060358,75.2002881 L56.7679115,75.8598546 C56.7679115,75.8598546 28.9040131,106.396168 28.0841366,108.291555 C28.0841366,108.291555 34.1159238,115.144621 35.6529617,116.115796 C36.3545333,113.280171 63.5365402,82.6307925 63.5365402,82.6307925 L64.1984159,83.290359 C64.1984159,83.290359 43.6013016,107.04575 39.2343772,120.022559 C42.443736,123.571575 46.7339155,125.159692 50.1595362,126.321151 C47.9699978,114.504469 80.8836921,78.8336819 80.8836921,78.8336819 L80.8836921,78.8336819 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/palette": {
"title": "$:/core/images/palette",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-palette tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M80.2470434,39.1821571 C75.0645698,38.2680897 69.6261555,37.7814854 64.0193999,37.7814854 C28.6624616,37.7814854 0,57.1324214 0,81.0030106 C0,90.644534 4.67604329,99.5487133 12.5805659,106.738252 C23.5031767,91.1899067 26.3405471,72.3946229 36.8885698,63.5622337 C52.0716764,50.8486559 63.4268694,55.7343343 63.4268694,55.7343343 L80.2470434,39.1821571 Z M106.781666,48.8370714 C119.830962,56.749628 128.0388,68.229191 128.0388,81.0030106 C128.0388,90.3534932 128.557501,98.4142085 116.165191,106.082518 C105.367708,112.763955 112.341384,99.546808 104.321443,95.1851533 C96.3015017,90.8234987 84.3749007,96.492742 86.1084305,103.091059 C89.3087234,115.272303 105.529892,114.54645 92.4224435,119.748569 C79.3149955,124.950687 74.2201582,124.224536 64.0193999,124.224536 C56.1979176,124.224536 48.7040365,123.277578 41.7755684,121.544216 C51.620343,117.347916 69.6563669,109.006202 75.129737,102.088562 C82.7876655,92.4099199 87.3713218,80.0000002 83.3235694,72.4837191 C83.1303943,72.1250117 94.5392656,60.81569 106.781666,48.8370714 Z M1.13430476,123.866563 C0.914084026,123.867944 0.693884185,123.868637 0.473712455,123.868637 C33.9526848,108.928928 22.6351223,59.642592 59.2924543,59.6425917 C59.6085574,61.0606542 59.9358353,62.5865065 60.3541977,64.1372318 C34.4465025,59.9707319 36.7873124,112.168427 1.13429588,123.866563 L1.13430476,123.866563 Z M1.84669213,123.859694 C40.7185279,123.354338 79.9985412,101.513051 79.9985401,79.0466836 C70.7284906,79.0466835 65.9257264,75.5670082 63.1833375,71.1051511 C46.585768,64.1019718 32.81846,116.819636 1.84665952,123.859695 L1.84669213,123.859694 Z M67.1980193,59.8524981 C62.748213,63.9666823 72.0838429,76.2846822 78.5155805,71.1700593 C89.8331416,59.8524993 112.468264,37.2173758 123.785825,25.8998146 C135.103386,14.5822535 123.785825,3.26469247 112.468264,14.5822535 C101.150703,25.8998144 78.9500931,48.9868127 67.1980193,59.8524981 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/permalink-button": {
"title": "$:/core/images/permalink-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-permalink-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M80.4834582,48 L73.0956761,80 L73.0956761,80 L47.5165418,80 L54.9043239,48 L80.4834582,48 Z M84.1773493,32 L89.8007299,7.64246248 C90.7941633,3.33942958 95.0918297,0.64641956 99.3968675,1.64031585 C103.693145,2.63218977 106.385414,6.93288901 105.390651,11.2416793 L100.598215,32 L104.000754,32 C108.411895,32 112,35.581722 112,40 C112,44.4092877 108.418616,48 104.000754,48 L96.9043239,48 L89.5165418,80 L104.000754,80 C108.411895,80 112,83.581722 112,88 C112,92.4092877 108.418616,96 104.000754,96 L85.8226507,96 L80.1992701,120.357538 C79.2058367,124.66057 74.9081703,127.35358 70.6031325,126.359684 C66.3068546,125.36781 63.6145865,121.067111 64.6093491,116.758321 L69.401785,96 L43.8226507,96 L38.1992701,120.357538 C37.2058367,124.66057 32.9081703,127.35358 28.6031325,126.359684 C24.3068546,125.36781 21.6145865,121.067111 22.6093491,116.758321 L27.401785,96 L23.9992458,96 C19.5881049,96 16,92.418278 16,88 C16,83.5907123 19.5813843,80 23.9992458,80 L31.0956761,80 L38.4834582,48 L23.9992458,48 C19.5881049,48 16,44.418278 16,40 C16,35.5907123 19.5813843,32 23.9992458,32 L42.1773493,32 L47.8007299,7.64246248 C48.7941633,3.33942958 53.0918297,0.64641956 57.3968675,1.64031585 C61.6931454,2.63218977 64.3854135,6.93288901 63.3906509,11.2416793 L58.598215,32 L84.1773493,32 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/permaview-button": {
"title": "$:/core/images/permaview-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-permaview-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M81.4834582,48 L79.6365127,56 L79.6365127,56 L74.0573784,56 L75.9043239,48 L81.4834582,48 Z M85.1773493,32 L90.8007299,7.64246248 C91.7941633,3.33942958 96.0918297,0.64641956 100.396867,1.64031585 C104.693145,2.63218977 107.385414,6.93288901 106.390651,11.2416793 L101.598215,32 L104.000754,32 C108.411895,32 112,35.581722 112,40 C112,44.4092877 108.418616,48 104.000754,48 L97.9043239,48 L96.0573784,56 L104.000754,56 C108.411895,56 112,59.581722 112,64 C112,68.4092877 108.418616,72 104.000754,72 L92.3634873,72 L90.5165418,80 L104.000754,80 C108.411895,80 112,83.581722 112,88 C112,92.4092877 108.418616,96 104.000754,96 L86.8226507,96 L81.1992701,120.357538 C80.2058367,124.66057 75.9081703,127.35358 71.6031325,126.359684 C67.3068546,125.36781 64.6145865,121.067111 65.6093491,116.758321 L70.401785,96 L64.8226507,96 L59.1992701,120.357538 C58.2058367,124.66057 53.9081703,127.35358 49.6031325,126.359684 C45.3068546,125.36781 42.6145865,121.067111 43.6093491,116.758321 L48.401785,96 L42.8226507,96 L37.1992701,120.357538 C36.2058367,124.66057 31.9081703,127.35358 27.6031325,126.359684 C23.3068546,125.36781 20.6145865,121.067111 21.6093491,116.758321 L26.401785,96 L23.9992458,96 C19.5881049,96 16,92.418278 16,88 C16,83.5907123 19.5813843,80 23.9992458,80 L30.0956761,80 L31.9426216,72 L23.9992458,72 C19.5881049,72 16,68.418278 16,64 C16,59.5907123 19.5813843,56 23.9992458,56 L35.6365127,56 L37.4834582,48 L23.9992458,48 C19.5881049,48 16,44.418278 16,40 C16,35.5907123 19.5813843,32 23.9992458,32 L41.1773493,32 L46.8007299,7.64246248 C47.7941633,3.33942958 52.0918297,0.64641956 56.3968675,1.64031585 C60.6931454,2.63218977 63.3854135,6.93288901 62.3906509,11.2416793 L57.598215,32 L63.1773493,32 L68.8007299,7.64246248 C69.7941633,3.33942958 74.0918297,0.64641956 78.3968675,1.64031585 C82.6931454,2.63218977 85.3854135,6.93288901 84.3906509,11.2416793 L79.598215,32 L85.1773493,32 Z M53.9043239,48 L52.0573784,56 L57.6365127,56 L59.4834582,48 L53.9043239,48 Z M75.9426216,72 L74.0956761,80 L74.0956761,80 L68.5165418,80 L70.3634873,72 L75.9426216,72 L75.9426216,72 Z M48.3634873,72 L46.5165418,80 L52.0956761,80 L53.9426216,72 L48.3634873,72 L48.3634873,72 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/picture": {
"title": "$:/core/images/picture",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-picture tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M112,68.2332211 L112,20.0027785 C112,17.7898769 110.207895,16 107.997221,16 L20.0027785,16 C17.7898769,16 16,17.792105 16,20.0027785 L16,58.312373 L25.2413115,43.7197989 C28.041793,39.297674 34.2643908,38.7118128 37.8410347,42.5335275 L56.0882845,63.1470817 L69.7748997,56.7400579 C72.766567,55.3552503 76.3013751,55.9473836 78.678437,58.2315339 C78.8106437,58.3585731 79.0742301,58.609836 79.4527088,58.9673596 C80.0910923,59.570398 80.8117772,60.2441563 81.598127,60.9705595 C83.8422198,63.043576 86.1541548,65.1151944 88.3956721,67.0372264 C89.1168795,67.6556396 89.8200801,68.2492007 90.5021258,68.8146755 C92.6097224,70.5620551 94.4693308,72.0029474 95.9836366,73.0515697 C96.7316295,73.5695379 97.3674038,73.9719282 98.0281481,74.3824999 C98.4724987,74.4989557 99.0742374,74.5263881 99.8365134,74.4317984 C101.709944,74.1993272 104.074502,73.2878514 106.559886,71.8846196 C107.705822,71.2376318 108.790494,70.5370325 109.764561,69.8410487 C110.323259,69.4418522 110.694168,69.1550757 110.834827,69.0391868 C111.210545,68.7296319 111.600264,68.4615815 112,68.2332211 L112,68.2332211 Z M0,8.00697327 C0,3.58484404 3.59075293,0 8.00697327,0 L119.993027,0 C124.415156,0 128,3.59075293 128,8.00697327 L128,119.993027 C128,124.415156 124.409247,128 119.993027,128 L8.00697327,128 C3.58484404,128 0,124.409247 0,119.993027 L0,8.00697327 L0,8.00697327 Z M95,42 C99.418278,42 103,38.418278 103,34 C103,29.581722 99.418278,26 95,26 C90.581722,26 87,29.581722 87,34 C87,38.418278 90.581722,42 95,42 L95,42 Z M32,76 C47.8587691,80.8294182 52.0345556,83.2438712 52.0345556,88 C52.0345556,92.7561288 32,95.4712486 32,102.347107 C32,109.222965 33.2849191,107.337637 33.2849191,112 L67.999999,112 C67.999999,112 54.3147136,105.375255 54.3147136,101.200691 C54.3147136,93.535181 64.9302432,92.860755 64.9302432,88 C64.9302432,80.6425555 50.8523779,79.167282 32,76 L32,76 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/plugin-generic-language": {
"title": "$:/core/images/plugin-generic-language",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M61.2072232,68.1369825 C56.8829239,70.9319564 54.2082892,74.793177 54.2082892,79.0581634 C54.2082892,86.9638335 63.3980995,93.4821994 75.2498076,94.3940006 C77.412197,98.2964184 83.8475284,101.178858 91.5684735,101.403106 C86.4420125,100.27851 82.4506393,97.6624107 80.9477167,94.3948272 C92.8046245,93.4861461 102,86.9662269 102,79.0581634 C102,70.5281905 91.3014611,63.6132813 78.1041446,63.6132813 C71.5054863,63.6132813 65.5315225,65.3420086 61.2072232,68.1369825 Z M74.001066,53.9793443 C69.6767667,56.7743182 63.7028029,58.5030456 57.1041446,58.5030456 C54.4851745,58.5030456 51.9646095,58.2307276 49.6065315,57.7275105 C46.2945155,59.9778212 41.2235699,61.4171743 35.5395922,61.4171743 C35.4545771,61.4171743 35.3696991,61.4168523 35.2849622,61.4162104 C39.404008,60.5235193 42.7961717,58.6691298 44.7630507,56.286533 C37.8379411,53.5817651 33.2082892,48.669413 33.2082892,43.0581634 C33.2082892,34.5281905 43.9068281,27.6132812 57.1041446,27.6132812 C70.3014611,27.6132812 81,34.5281905 81,43.0581634 C81,47.3231498 78.3253653,51.1843704 74.001066,53.9793443 Z M64,0 L118.5596,32 L118.5596,96 L64,128 L9.44039956,96 L9.44039956,32 L64,0 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/plugin-generic-plugin": {
"title": "$:/core/images/plugin-generic-plugin",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M40.3972881,76.4456988 L40.3972881,95.3404069 L54.5170166,95.3404069 L54.5170166,95.3404069 C54.5165526,95.3385183 54.516089,95.3366295 54.515626,95.3347404 C54.6093153,95.3385061 54.7034848,95.3404069 54.7980982,95.3404069 C58.6157051,95.3404069 61.710487,92.245625 61.710487,88.4280181 C61.710487,86.6197822 61.01617,84.9737128 59.8795929,83.7418666 L59.8795929,83.7418666 C59.8949905,83.7341665 59.9104102,83.7265043 59.925852,83.7188798 C58.8840576,82.5086663 58.2542926,80.9336277 58.2542926,79.2114996 C58.2542926,75.3938927 61.3490745,72.2991108 65.1666814,72.2991108 C68.9842884,72.2991108 72.0790703,75.3938927 72.0790703,79.2114996 C72.0790703,81.1954221 71.2432806,82.9841354 69.9045961,84.2447446 L69.9045961,84.2447446 C69.9333407,84.2629251 69.9619885,84.281245 69.9905383,84.2997032 L69.9905383,84.2997032 C69.1314315,85.4516923 68.6228758,86.8804654 68.6228758,88.4280181 C68.6228758,91.8584969 71.1218232,94.7053153 74.3986526,95.2474079 C74.3913315,95.2784624 74.3838688,95.3094624 74.3762652,95.3404069 L95.6963988,95.3404069 L95.6963988,75.5678578 L95.6963988,75.5678578 C95.6466539,75.5808558 95.5967614,75.5934886 95.5467242,75.6057531 C95.5504899,75.5120637 95.5523907,75.4178943 95.5523907,75.3232809 C95.5523907,71.505674 92.4576088,68.4108921 88.6400019,68.4108921 C86.831766,68.4108921 85.1856966,69.105209 83.9538504,70.2417862 L83.9538504,70.2417862 C83.9461503,70.2263886 83.938488,70.2109688 83.9308636,70.1955271 C82.7206501,71.2373215 81.1456115,71.8670865 79.4234834,71.8670865 C75.6058765,71.8670865 72.5110946,68.7723046 72.5110946,64.9546976 C72.5110946,61.1370907 75.6058765,58.0423088 79.4234834,58.0423088 C81.4074059,58.0423088 83.1961192,58.8780985 84.4567284,60.2167829 L84.4567284,60.2167829 C84.4749089,60.1880383 84.4932288,60.1593906 84.511687,60.1308407 L84.511687,60.1308407 C85.6636761,60.9899475 87.0924492,61.4985032 88.6400019,61.4985032 C92.0704807,61.4985032 94.9172991,58.9995558 95.4593917,55.7227265 C95.538755,55.7414363 95.6177614,55.761071 95.6963988,55.7816184 L95.6963988,40.0412962 L74.3762652,40.0412962 L74.3762652,40.0412962 C74.3838688,40.0103516 74.3913315,39.9793517 74.3986526,39.9482971 L74.3986526,39.9482971 C71.1218232,39.4062046 68.6228758,36.5593862 68.6228758,33.1289073 C68.6228758,31.5813547 69.1314315,30.1525815 69.9905383,29.0005925 C69.9619885,28.9821342 69.9333407,28.9638143 69.9045961,28.9456339 C71.2432806,27.6850247 72.0790703,25.8963113 72.0790703,23.9123888 C72.0790703,20.0947819 68.9842884,17 65.1666814,17 C61.3490745,17 58.2542926,20.0947819 58.2542926,23.9123888 C58.2542926,25.6345169 58.8840576,27.2095556 59.925852,28.419769 L59.925852,28.419769 C59.9104102,28.4273935 59.8949905,28.4350558 59.8795929,28.4427558 C61.01617,29.674602 61.710487,31.3206715 61.710487,33.1289073 C61.710487,36.9465143 58.6157051,40.0412962 54.7980982,40.0412962 C54.7034848,40.0412962 54.6093153,40.0393953 54.515626,40.0356296 L54.515626,40.0356296 C54.516089,40.0375187 54.5165526,40.0394075 54.5170166,40.0412962 L40.3972881,40.0412962 L40.3972881,52.887664 L40.3972881,52.887664 C40.4916889,53.3430132 40.5412962,53.8147625 40.5412962,54.2980982 C40.5412962,58.1157051 37.4465143,61.210487 33.6289073,61.210487 C32.0813547,61.210487 30.6525815,60.7019313 29.5005925,59.8428245 C29.4821342,59.8713744 29.4638143,59.9000221 29.4456339,59.9287667 C28.1850247,58.5900823 26.3963113,57.7542926 24.4123888,57.7542926 C20.5947819,57.7542926 17.5,60.8490745 17.5,64.6666814 C17.5,68.4842884 20.5947819,71.5790703 24.4123888,71.5790703 C26.134517,71.5790703 27.7095556,70.9493053 28.919769,69.9075109 L28.919769,69.9075109 C28.9273935,69.9229526 28.9350558,69.9383724 28.9427558,69.95377 C30.174602,68.8171928 31.8206715,68.1228758 33.6289073,68.1228758 C37.4465143,68.1228758 40.5412962,71.2176578 40.5412962,75.0352647 C40.5412962,75.5186004 40.4916889,75.9903496 40.3972881,76.4456988 Z M64,0 L118.5596,32 L118.5596,96 L64,128 L9.44039956,96 L9.44039956,32 L64,0 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/plugin-generic-theme": {
"title": "$:/core/images/plugin-generic-theme",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M29.4078519,91.4716406 L51.4693474,69.4101451 L51.4646675,69.4054652 C50.5969502,68.5377479 50.5929779,67.1348725 51.4693474,66.2585029 C52.3396494,65.3882009 53.7499654,65.3874786 54.6163097,66.2538229 L64.0805963,75.7181095 C64.9483136,76.5858268 64.9522859,77.9887022 64.0759163,78.8650718 C63.2056143,79.7353737 61.7952984,79.736096 60.9289541,78.8697517 L60.9242741,78.8650718 L60.9242741,78.8650718 L38.8627786,100.926567 C36.2518727,103.537473 32.0187578,103.537473 29.4078519,100.926567 C26.796946,98.3156614 26.796946,94.0825465 29.4078519,91.4716406 Z M60.8017407,66.3810363 C58.3659178,63.6765806 56.3370667,61.2899536 54.9851735,59.5123615 C48.1295381,50.4979488 44.671561,55.2444054 40.7586738,59.5123614 C36.8457866,63.7803174 41.789473,67.2384487 38.0759896,70.2532832 C34.3625062,73.2681177 34.5917646,74.3131575 28.3243876,68.7977024 C22.0570105,63.2822473 21.6235306,61.7636888 24.5005999,58.6166112 C27.3776691,55.4695337 29.7823103,60.4247912 35.6595047,54.8320442 C41.5366991,49.2392972 36.5996215,44.2825646 36.5996215,44.2825646 C36.5996215,44.2825646 48.8365511,19.267683 65.1880231,21.1152173 C81.5394952,22.9627517 59.0022276,18.7228947 53.3962199,38.3410355 C50.9960082,46.7405407 53.8429162,44.7613399 58.3941742,48.3090467 C59.7875202,49.3951602 64.4244828,52.7100463 70.1884353,56.9943417 L90.8648751,36.3179019 L92.4795866,31.5515482 L100.319802,26.8629752 L103.471444,30.0146174 L98.782871,37.8548326 L94.0165173,39.4695441 L73.7934912,59.6925702 C86.4558549,69.2403631 102.104532,81.8392557 102.104532,86.4016913 C102.104533,93.6189834 99.0337832,97.9277545 92.5695848,95.5655717 C87.8765989,93.8506351 73.8015497,80.3744087 63.8173444,69.668717 L60.9242741,72.5617873 L57.7726319,69.4101451 L60.8017407,66.3810363 L60.8017407,66.3810363 Z M63.9533761,1.42108547e-13 L118.512977,32 L118.512977,96 L63.9533761,128 L9.39377563,96 L9.39377563,32 L63.9533761,1.42108547e-13 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/preview-closed": {
"title": "$:/core/images/preview-closed",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-preview-closed tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M0.0881363238,64 C-0.210292223,65.8846266 0.249135869,67.8634737 1.4664206,69.4579969 C16.2465319,88.8184886 39.1692554,100.414336 64,100.414336 C88.8307446,100.414336 111.753468,88.8184886 126.533579,69.4579969 C127.750864,67.8634737 128.210292,65.8846266 127.911864,64 C110.582357,78.4158332 88.3036732,87.0858436 64,87.0858436 C39.6963268,87.0858436 17.4176431,78.4158332 0.0881363238,64 Z\"></path>\n <rect x=\"62\" y=\"96\" width=\"4\" height=\"16\" rx=\"4\"></rect>\n <rect transform=\"translate(80.000000, 101.000000) rotate(-5.000000) translate(-80.000000, -101.000000) \" x=\"78\" y=\"93\" width=\"4\" height=\"16\" rx=\"4\"></rect>\n <rect transform=\"translate(48.000000, 101.000000) rotate(-355.000000) translate(-48.000000, -101.000000) \" x=\"46\" y=\"93\" width=\"4\" height=\"16\" rx=\"4\"></rect>\n <rect transform=\"translate(32.000000, 96.000000) rotate(-350.000000) translate(-32.000000, -96.000000) \" x=\"30\" y=\"88\" width=\"4\" height=\"16\" rx=\"4\"></rect>\n <rect transform=\"translate(96.000000, 96.000000) rotate(-10.000000) translate(-96.000000, -96.000000) \" x=\"94\" y=\"88\" width=\"4\" height=\"16\" rx=\"4\"></rect>\n <rect transform=\"translate(112.000000, 88.000000) rotate(-20.000000) translate(-112.000000, -88.000000) \" x=\"110\" y=\"80\" width=\"4\" height=\"16\" rx=\"4\"></rect>\n <rect transform=\"translate(16.000000, 88.000000) rotate(-340.000000) translate(-16.000000, -88.000000) \" x=\"14\" y=\"80\" width=\"4\" height=\"16\" rx=\"4\"></rect>\n </g>\n</svg>"
},
"$:/core/images/preview-open": {
"title": "$:/core/images/preview-open",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-preview-open tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M64.1099282,99.5876785 C39.2791836,99.5876785 16.3564602,87.9918313 1.57634884,68.6313396 C-0.378878622,66.070184 -0.378878622,62.5174945 1.57634884,59.9563389 C16.3564602,40.5958472 39.2791836,29 64.1099282,29 C88.9406729,29 111.863396,40.5958472 126.643508,59.9563389 C128.598735,62.5174945 128.598735,66.070184 126.643508,68.6313396 C111.863396,87.9918313 88.9406729,99.5876785 64.1099282,99.5876785 Z M110.213805,67.5808331 C111.654168,66.0569335 111.654168,63.9430665 110.213805,62.4191669 C99.3257042,50.8995835 82.4391647,44 64.1470385,44 C45.8549124,44 28.9683729,50.8995835 18.0802717,62.4191669 C16.6399094,63.9430665 16.6399094,66.0569335 18.0802717,67.5808331 C28.9683729,79.1004165 45.8549124,86 64.1470385,86 C82.4391647,86 99.3257042,79.1004165 110.213805,67.5808331 Z\"></path>\n <path d=\"M63.5,88 C76.4786916,88 87,77.4786916 87,64.5 C87,51.5213084 76.4786916,41 63.5,41 C50.5213084,41 40,51.5213084 40,64.5 C40,77.4786916 50.5213084,88 63.5,88 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/print-button": {
"title": "$:/core/images/print-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-print-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M112,71 L112,30.5 L111.96811,30.5 L111.96811,30.5 C111.932942,28.4998414 111.151676,26.510538 109.625176,24.9840387 L86.9982489,2.35711116 C85.3482153,0.707077645 83.1589869,-0.071534047 81,0.0201838424 L81,0 L23.9992458,0 C19.5808867,0 16,3.58213437 16,8.00092105 L16,71 L24,71 L24,8 L81,8 L81,22.4996539 C81,26.9216269 84.5818769,30.5 89.0003461,30.5 L104,30.5 L104,71 L112,71 Z\"></path>\n <rect x=\"32\" y=\"36\" width=\"64\" height=\"8\" rx=\"4\"></rect>\n <rect x=\"32\" y=\"52\" width=\"64\" height=\"8\" rx=\"4\"></rect>\n <rect x=\"32\" y=\"20\" width=\"40\" height=\"8\" rx=\"4\"></rect>\n <path d=\"M0,80.0054195 C0,71.1658704 7.15611005,64 16.0008841,64 L111.999116,64 C120.83616,64 128,71.1553215 128,80.0054195 L128,111.99458 C128,120.83413 120.84389,128 111.999116,128 L16.0008841,128 C7.16383982,128 0,120.844679 0,111.99458 L0,80.0054195 Z M104,96 C108.418278,96 112,92.418278 112,88 C112,83.581722 108.418278,80 104,80 C99.581722,80 96,83.581722 96,88 C96,92.418278 99.581722,96 104,96 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/quote": {
"title": "$:/core/images/quote",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-quote tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M51.2188077,117.712501 L51.2188077,62.1993386 L27.4274524,62.1993386 C27.4274524,53.3075754 29.1096526,45.797753 32.4741035,39.669646 C35.8385544,33.541539 42.0867267,28.9154883 51.2188077,25.7913554 L51.2188077,2 C43.7689521,2.96127169 36.8599155,5.18417913 30.4914905,8.668789 C24.1230656,12.1533989 18.6559149,16.5391352 14.0898743,21.8261295 C9.52383382,27.1131238 5.97919764,33.2411389 3.45585945,40.2103586 C0.932521268,47.1795784 -0.208971741,54.6293222 0.0313461819,62.5598136 L0.0313461819,117.712501 L51.2188077,117.712501 Z M128,117.712501 L128,62.1993386 L104.208645,62.1993386 C104.208645,53.3075754 105.890845,45.797753 109.255296,39.669646 C112.619747,33.541539 118.867919,28.9154883 128,25.7913554 L128,2 C120.550144,2.96127169 113.641108,5.18417913 107.272683,8.668789 C100.904258,12.1533989 95.4371072,16.5391352 90.8710666,21.8261295 C86.3050261,27.1131238 82.7603899,33.2411389 80.2370517,40.2103586 C77.7137136,47.1795784 76.5722206,54.6293222 76.8125385,62.5598136 L76.8125385,117.712501 L128,117.712501 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/refresh-button": {
"title": "$:/core/images/refresh-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-refresh-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M106.369002,39.4325143 C116.529932,60.3119371 112.939592,86.1974934 95.5979797,103.539105 C73.7286194,125.408466 38.2713806,125.408466 16.4020203,103.539105 C-5.46734008,81.6697449 -5.46734008,46.2125061 16.4020203,24.3431458 C19.5262146,21.2189514 24.5915344,21.2189514 27.7157288,24.3431458 C30.8399231,27.4673401 30.8399231,32.5326599 27.7157288,35.6568542 C12.0947571,51.2778259 12.0947571,76.6044251 27.7157288,92.2253967 C43.3367004,107.846368 68.6632996,107.846368 84.2842712,92.2253967 C97.71993,78.7897379 99.5995262,58.1740623 89.9230597,42.729491 L83.4844861,54.9932839 C81.4307001,58.9052072 76.5945372,60.4115251 72.682614,58.3577391 C68.7706907,56.3039532 67.2643728,51.4677903 69.3181587,47.555867 L84.4354914,18.7613158 C86.4966389,14.8353707 91.3577499,13.3347805 95.273202,15.415792 L124.145886,30.7612457 C128.047354,32.8348248 129.52915,37.6785572 127.455571,41.5800249 C125.381992,45.4814927 120.53826,46.9632892 116.636792,44.8897102 L106.369002,39.4325143 Z M98.1470904,27.0648707 C97.9798954,26.8741582 97.811187,26.6843098 97.6409651,26.4953413 L98.6018187,26.1987327 L98.1470904,27.0648707 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/right-arrow": {
"title": "$:/core/images/right-arrow",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-right-arrow tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <path d=\"M80.3563798,109.353315 C78.9238993,110.786918 76.9450203,111.675144 74.7592239,111.675144 L-4.40893546,111.675144 C-8.77412698,111.675144 -12.3248558,108.130732 -12.3248558,103.758478 C-12.3248558,99.3951199 -8.78077754,95.8418109 -4.40893546,95.8418109 L66.8418109,95.8418109 L66.8418109,24.5910645 C66.8418109,20.225873 70.3862233,16.6751442 74.7584775,16.6751442 C79.1218352,16.6751442 82.6751442,20.2192225 82.6751442,24.5910645 L82.6751442,103.759224 C82.6751442,105.941695 81.7891419,107.920575 80.3566508,109.353886 Z\" transform=\"translate(35.175144, 64.175144) rotate(-45.000000) translate(-35.175144, -64.175144) \"></path>\n</svg>"
},
"$:/core/images/save-button": {
"title": "$:/core/images/save-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-save-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M120.78304,34.329058 C125.424287,43.1924006 128.049406,53.2778608 128.049406,63.9764502 C128.049406,99.3226742 99.3956295,127.97645 64.0494055,127.97645 C28.7031816,127.97645 0.0494055385,99.3226742 0.0494055385,63.9764502 C0.0494055385,28.6302262 28.7031816,-0.0235498012 64.0494055,-0.0235498012 C82.8568763,-0.0235498012 99.769563,8.08898558 111.479045,21.0056358 L114.159581,18.3250998 C117.289194,15.1954866 122.356036,15.1939641 125.480231,18.3181584 C128.598068,21.4359957 128.601317,26.5107804 125.473289,29.6388083 L120.78304,34.329058 Z M108.72451,46.3875877 C110.870571,51.8341374 112.049406,57.767628 112.049406,63.9764502 C112.049406,90.4861182 90.5590735,111.97645 64.0494055,111.97645 C37.5397375,111.97645 16.0494055,90.4861182 16.0494055,63.9764502 C16.0494055,37.4667822 37.5397375,15.9764502 64.0494055,15.9764502 C78.438886,15.9764502 91.3495036,22.308215 100.147097,32.3375836 L58.9411255,73.5435552 L41.975581,56.5780107 C38.8486152,53.4510448 33.7746915,53.4551552 30.6568542,56.5729924 C27.5326599,59.6971868 27.5372202,64.7670668 30.6618725,67.8917192 L53.279253,90.5090997 C54.8435723,92.073419 56.8951519,92.8541315 58.9380216,92.8558261 C60.987971,92.8559239 63.0389578,92.0731398 64.6049211,90.5071765 L108.72451,46.3875877 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/size": {
"title": "$:/core/images/size",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-size tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <path d=\"M92.3431458,26 L83.1715729,35.1715729 C81.6094757,36.73367 81.6094757,39.26633 83.1715729,40.8284271 C84.73367,42.3905243 87.26633,42.3905243 88.8284271,40.8284271 L104.828427,24.8284271 C106.390524,23.26633 106.390524,20.73367 104.828427,19.1715729 L88.8284271,3.17157288 C87.26633,1.60947571 84.73367,1.60947571 83.1715729,3.17157288 C81.6094757,4.73367004 81.6094757,7.26632996 83.1715729,8.82842712 L92.3431457,18 L22,18 C19.790861,18 18,19.790861 18,22 L18,92.3431458 L8.82842712,83.1715729 C7.26632996,81.6094757 4.73367004,81.6094757 3.17157288,83.1715729 C1.60947571,84.73367 1.60947571,87.26633 3.17157288,88.8284271 L19.1715729,104.828427 C20.73367,106.390524 23.26633,106.390524 24.8284271,104.828427 L40.8284271,88.8284271 C42.3905243,87.26633 42.3905243,84.73367 40.8284271,83.1715729 C39.26633,81.6094757 36.73367,81.6094757 35.1715729,83.1715729 L26,92.3431458 L26,22 L22,26 L92.3431458,26 L92.3431458,26 Z M112,52 L112,116 L116,112 L52,112 C49.790861,112 48,113.790861 48,116 C48,118.209139 49.790861,120 52,120 L116,120 C118.209139,120 120,118.209139 120,116 L120,52 C120,49.790861 118.209139,48 116,48 C113.790861,48 112,49.790861 112,52 L112,52 Z\"></path>\n</svg>"
},
"$:/core/images/spiral": {
"title": "$:/core/images/spiral",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-spiral tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"nonzero\">\n <path d=\"M64.534 68.348c3.39 0 6.097-2.62 6.476-5.968l-4.755-.538 4.75.583c.377-3.07-1.194-6.054-3.89-7.78-2.757-1.773-6.34-2.01-9.566-.7-3.46 1.403-6.14 4.392-7.35 8.148l-.01.026c-1.3 4.08-.72 8.64 1.58 12.52 2.5 4.2 6.77 7.2 11.76 8.27 5.37 1.15 11.11-.05 15.83-3.31 5.04-3.51 8.46-9.02 9.45-15.3 1.05-6.7-.72-13.63-4.92-19.19l.02.02c-4.42-5.93-11.2-9.82-18.78-10.78-7.96-1.01-16.13 1.31-22.59 6.43-6.81 5.39-11.18 13.41-12.11 22.26-.98 9.27 1.87 18.65 7.93 26.02 6.32 7.69 15.6 12.56 25.74 13.48 10.54.96 21.15-2.42 29.45-9.4l.01-.01c8.58-7.25 13.94-17.78 14.86-29.21.94-11.84-2.96-23.69-10.86-32.9-8.19-9.5-19.95-15.36-32.69-16.27-13.16-.94-26.24 3.49-36.34 12.34l.01-.01c-10.41 9.08-16.78 22.1-17.68 36.15-.93 14.44 4.03 28.77 13.79 39.78 10.03 11.32 24.28 18.2 39.6 19.09 15.73.92 31.31-4.56 43.24-15.234 12.23-10.954 19.61-26.44 20.5-43.074.14-2.64-1.89-4.89-4.52-5.03-2.64-.14-4.89 1.88-5.03 4.52-.75 14.1-7 27.2-17.33 36.45-10.03 8.98-23.11 13.58-36.3 12.81-12.79-.75-24.67-6.48-33-15.89-8.07-9.11-12.17-20.94-11.41-32.827.74-11.52 5.942-22.15 14.43-29.54l.01-.01c8.18-7.17 18.74-10.75 29.35-9.998 10.21.726 19.6 5.41 26.11 12.96 6.24 7.273 9.32 16.61 8.573 25.894-.718 8.9-4.88 17.064-11.504 22.66l.01-.007c-6.36 5.342-14.44 7.92-22.425 7.19-7.604-.68-14.52-4.314-19.21-10.027-4.44-5.4-6.517-12.23-5.806-18.94.67-6.3 3.76-11.977 8.54-15.766 4.46-3.54 10.05-5.128 15.44-4.44 5.03.63 9.46 3.18 12.32 7.01l.02.024c2.65 3.5 3.75 7.814 3.1 11.92-.59 3.71-2.58 6.925-5.45 8.924-2.56 1.767-5.61 2.403-8.38 1.81-2.42-.516-4.42-1.92-5.53-3.79-.93-1.56-1.15-3.3-.69-4.75l-4.56-1.446L59.325 65c.36-1.12 1.068-1.905 1.84-2.22.25-.103.48-.14.668-.13.06.006.11.015.14.025.01 0 .01 0-.01-.01-.02-.015-.054-.045-.094-.088-.06-.064-.12-.145-.17-.244-.15-.29-.23-.678-.18-1.11l-.005.04c.15-1.332 1.38-2.523 3.035-2.523-2.65 0-4.79 2.144-4.79 4.787s2.14 4.785 4.78 4.785z\"></path>\n </g>\n</svg>"
},
"$:/core/images/stamp": {
"title": "$:/core/images/stamp",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-stamp tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M49.7334301,64 L16.0098166,64 C11.5838751,64 8,67.5829053 8,72.002643 L8,74.4986785 L8,97 L120,97 L120,74.4986785 L120,72.002643 C120,67.5737547 116.413883,64 111.990183,64 L78.2665699,64 C76.502049,60.7519149 75.5,57.0311962 75.5,53.0769231 C75.5,46.6017951 78.1869052,40.7529228 82.5087769,36.5800577 C85.3313113,32.7688808 87,28.0549983 87,22.952183 C87,10.2760423 76.7025492,0 64,0 C51.2974508,0 41,10.2760423 41,22.952183 C41,28.0549983 42.6686887,32.7688808 45.4912231,36.5800577 C49.8130948,40.7529228 52.5,46.6017951 52.5,53.0769231 C52.5,57.0311962 51.497951,60.7519149 49.7334301,64 Z M8,104 L120,104 L120,112 L8,112 L8,104 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/star-filled": {
"title": "$:/core/images/star-filled",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-star-filled tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"nonzero\">\n <path d=\"M61.8361286,96.8228569 L99.1627704,124.110219 C101.883827,126.099427 105.541968,123.420868 104.505636,120.198072 L90.2895569,75.9887263 L89.0292911,79.8977279 L126.314504,52.5528988 C129.032541,50.5595011 127.635256,46.2255025 124.273711,46.2229134 L78.1610486,46.1873965 L81.4604673,48.6032923 L67.1773543,4.41589688 C66.1361365,1.19470104 61.6144265,1.19470104 60.5732087,4.41589688 L46.2900957,48.6032923 L49.5895144,46.1873965 L3.47685231,46.2229134 C0.115307373,46.2255025 -1.28197785,50.5595011 1.43605908,52.5528988 L38.7212719,79.8977279 L37.4610061,75.9887263 L23.2449266,120.198072 C22.2085954,123.420868 25.8667356,126.099427 28.5877926,124.110219 L65.9144344,96.8228569 L61.8361286,96.8228569 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/storyview-classic": {
"title": "$:/core/images/storyview-classic",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-storyview-classic tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00697327,0 C3.58484404,0 0,3.59075293 0,8.00697327 L0,119.993027 C0,124.415156 3.59075293,128 8.00697327,128 L119.993027,128 C124.415156,128 128,124.409247 128,119.993027 L128,8.00697327 C128,3.58484404 124.409247,0 119.993027,0 L8.00697327,0 L8.00697327,0 Z M23.9992458,16 C19.5813843,16 16,19.5776607 16,23.9924054 L16,40.0075946 C16,44.4216782 19.5881049,48 23.9992458,48 L104.000754,48 C108.418616,48 112,44.4223393 112,40.0075946 L112,23.9924054 C112,19.5783218 108.411895,16 104.000754,16 L23.9992458,16 L23.9992458,16 Z M23.9992458,64 C19.5813843,64 16,67.5907123 16,72 C16,76.418278 19.5881049,80 23.9992458,80 L104.000754,80 C108.418616,80 112,76.4092877 112,72 C112,67.581722 108.411895,64 104.000754,64 L23.9992458,64 L23.9992458,64 Z M23.9992458,96 C19.5813843,96 16,99.5907123 16,104 C16,108.418278 19.5881049,112 23.9992458,112 L104.000754,112 C108.418616,112 112,108.409288 112,104 C112,99.581722 108.411895,96 104.000754,96 L23.9992458,96 L23.9992458,96 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/storyview-pop": {
"title": "$:/core/images/storyview-pop",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-storyview-pop tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00697327,0 C3.58484404,0 0,3.59075293 0,8.00697327 L0,119.993027 C0,124.415156 3.59075293,128 8.00697327,128 L119.993027,128 C124.415156,128 128,124.409247 128,119.993027 L128,8.00697327 C128,3.58484404 124.409247,0 119.993027,0 L8.00697327,0 L8.00697327,0 Z M23.9992458,16 C19.5813843,16 16,19.5776607 16,23.9924054 L16,40.0075946 C16,44.4216782 19.5881049,48 23.9992458,48 L104.000754,48 C108.418616,48 112,44.4223393 112,40.0075946 L112,23.9924054 C112,19.5783218 108.411895,16 104.000754,16 L23.9992458,16 L23.9992458,16 Z M16.0098166,56 C11.586117,56 8,59.5776607 8,63.9924054 L8,80.0075946 C8,84.4216782 11.5838751,88 16.0098166,88 L111.990183,88 C116.413883,88 120,84.4223393 120,80.0075946 L120,63.9924054 C120,59.5783218 116.416125,56 111.990183,56 L16.0098166,56 L16.0098166,56 Z M23.9992458,96 C19.5813843,96 16,99.5907123 16,104 C16,108.418278 19.5881049,112 23.9992458,112 L104.000754,112 C108.418616,112 112,108.409288 112,104 C112,99.581722 108.411895,96 104.000754,96 L23.9992458,96 L23.9992458,96 Z M23.9992458,64 C19.5813843,64 16,67.5907123 16,72 C16,76.418278 19.5881049,80 23.9992458,80 L104.000754,80 C108.418616,80 112,76.4092877 112,72 C112,67.581722 108.411895,64 104.000754,64 L23.9992458,64 L23.9992458,64 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/storyview-zoomin": {
"title": "$:/core/images/storyview-zoomin",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-storyview-zoomin tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00697327,0 C3.58484404,0 0,3.59075293 0,8.00697327 L0,119.993027 C0,124.415156 3.59075293,128 8.00697327,128 L119.993027,128 C124.415156,128 128,124.409247 128,119.993027 L128,8.00697327 C128,3.58484404 124.409247,0 119.993027,0 L8.00697327,0 L8.00697327,0 Z M23.9992458,16 C19.5813843,16 16,19.578055 16,24.0085154 L16,71.9914846 C16,76.4144655 19.5881049,80 23.9992458,80 L104.000754,80 C108.418616,80 112,76.421945 112,71.9914846 L112,24.0085154 C112,19.5855345 108.411895,16 104.000754,16 L23.9992458,16 L23.9992458,16 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/strikethrough": {
"title": "$:/core/images/strikethrough",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-strikethrough tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M92.793842,38.7255689 L108.215529,38.7255689 C107.987058,31.985687 106.70193,26.1883331 104.360107,21.3333333 C102.018284,16.4783336 98.8197436,12.4516001 94.7643909,9.25301205 C90.7090382,6.05442399 85.9969032,3.71263572 80.6278447,2.22757697 C75.2587862,0.742518233 69.4328739,0 63.1499331,0 C57.552404,0 52.0977508,0.713959839 46.7858099,2.14190094 C41.473869,3.56984203 36.7331757,5.74027995 32.5635877,8.65327979 C28.3939997,11.5662796 25.0526676,15.2788708 22.5394913,19.7911647 C20.026315,24.3034585 18.7697456,29.6438781 18.7697456,35.8125837 C18.7697456,41.4101128 19.883523,46.0651309 22.1111111,49.7777778 C24.3386992,53.4904246 27.3087722,56.5176144 31.021419,58.8594378 C34.7340659,61.2012612 38.9321497,63.0861151 43.6157965,64.5140562 C48.2994433,65.9419973 53.068695,67.1985666 57.9236948,68.2838019 C62.7786945,69.3690371 67.5479462,70.4256977 72.231593,71.4538153 C76.9152398,72.4819329 81.1133237,73.8241773 84.8259705,75.480589 C88.5386174,77.1370007 91.5086903,79.2788802 93.7362784,81.9062918 C95.9638666,84.5337035 97.0776439,87.9607107 97.0776439,92.1874163 C97.0776439,96.6425926 96.1637753,100.298067 94.3360107,103.153949 C92.5082461,106.009831 90.109341,108.265944 87.1392236,109.922356 C84.1691061,111.578768 80.827774,112.749662 77.1151272,113.435074 C73.4024803,114.120485 69.7184476,114.463186 66.0629183,114.463186 C61.4935068,114.463186 57.0383974,113.892018 52.6974565,112.749665 C48.3565156,111.607312 44.5582492,109.836692 41.3025435,107.437751 C38.0468378,105.03881 35.4194656,101.983062 33.4203481,98.270415 C31.4212305,94.5577681 30.4216867,90.1312171 30.4216867,84.9906292 L15,84.9906292 C15,92.4159229 16.3422445,98.8415614 19.0267738,104.267738 C21.711303,109.693914 25.3667774,114.149023 29.9933066,117.633199 C34.6198357,121.117376 39.9888137,123.71619 46.1004016,125.429719 C52.2119895,127.143248 58.6947448,128 65.5488621,128 C71.1463912,128 76.7723948,127.343157 82.4270415,126.029451 C88.0816882,124.715745 93.1936407,122.602424 97.7630522,119.689424 C102.332464,116.776425 106.073613,113.006717 108.986613,108.380187 C111.899613,103.753658 113.356091,98.1847715 113.356091,91.6733601 C113.356091,85.6188899 112.242314,80.5926126 110.014726,76.5943775 C107.787137,72.5961424 104.817065,69.2833688 101.104418,66.6559572 C97.3917708,64.0285455 93.193687,61.9437828 88.5100402,60.4016064 C83.8263934,58.85943 79.0571416,57.5171855 74.2021419,56.3748327 C69.3471422,55.2324798 64.5778904,54.1758192 59.8942436,53.2048193 C55.2105968,52.2338193 51.012513,51.0058084 47.2998661,49.5207497 C43.5872193,48.0356909 40.6171463,46.1222786 38.3895582,43.7804552 C36.1619701,41.4386318 35.0481928,38.3828836 35.0481928,34.6131191 C35.0481928,30.6148841 35.8192694,27.273552 37.3614458,24.5890228 C38.9036222,21.9044935 40.9598265,19.762614 43.5301205,18.1633199 C46.1004145,16.5640259 49.041929,15.4216902 52.3547523,14.7362784 C55.6675757,14.0508667 59.0374661,13.708166 62.4645248,13.708166 C70.9179361,13.708166 77.8576257,15.6786952 83.2838019,19.6198126 C88.709978,23.56093 91.8799597,29.9294518 92.793842,38.7255689 L92.793842,38.7255689 Z\"></path>\n <rect x=\"5\" y=\"54\" width=\"118\" height=\"16\"></rect>\n </g>\n</svg>"
},
"$:/core/images/subscript": {
"title": "$:/core/images/subscript",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-subscript tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M2.27170276,16 L22.1825093,16 L43.8305003,49.6746527 L66.4138983,16 L85.1220387,16 L53.5854592,61.9685735 L87.3937414,111.411516 L67.0820462,111.411516 L43.295982,74.9306422 L19.1090291,111.411516 L0,111.411516 L33.8082822,61.9685735 L2.27170276,16 Z M127.910914,128.411516 L85.3276227,128.411516 C85.3870139,123.24448 86.6342108,118.730815 89.0692508,114.870386 C91.5042907,111.009956 94.8301491,107.654403 99.0469256,104.803624 C101.066227,103.318844 103.174584,101.878629 105.372059,100.482935 C107.569534,99.0872413 109.588805,97.5876355 111.429933,95.9840726 C113.271061,94.3805097 114.785514,92.6433426 115.973338,90.7725192 C117.161163,88.9016958 117.784761,86.7487964 117.844152,84.3137564 C117.844152,83.1853233 117.710524,81.9826691 117.443264,80.7057579 C117.176003,79.4288467 116.656338,78.2410402 115.884252,77.1423026 C115.112166,76.0435651 114.04314,75.123015 112.677142,74.3806248 C111.311144,73.6382345 109.529434,73.267045 107.331959,73.267045 C105.312658,73.267045 103.634881,73.6679297 102.298579,74.4697112 C100.962276,75.2714926 99.8932503,76.3702137 99.0914688,77.7659073 C98.2896874,79.161601 97.6957841,80.8096826 97.3097412,82.7102016 C96.9236982,84.6107206 96.7009845,86.6596869 96.6415933,88.857162 L86.4857457,88.857162 C86.4857457,85.4124713 86.9460207,82.2202411 87.8665846,79.2803758 C88.7871485,76.3405105 90.1679736,73.801574 92.0091014,71.6634901 C93.8502292,69.5254062 96.092214,67.8476295 98.7351233,66.6301095 C101.378033,65.4125895 104.451482,64.8038386 107.955564,64.8038386 C111.756602,64.8038386 114.933984,65.4274371 117.487807,66.6746527 C120.041629,67.9218683 122.105443,69.4957119 123.67931,71.3962309 C125.253178,73.2967499 126.366746,75.3605638 127.02005,77.5877345 C127.673353,79.8149053 128,81.9381095 128,83.9574109 C128,86.4518421 127.613963,88.7086746 126.841877,90.727976 C126.069791,92.7472774 125.03046,94.6032252 123.723854,96.2958749 C122.417247,97.9885247 120.932489,99.5475208 119.269534,100.97291 C117.60658,102.398299 115.884261,103.734582 114.102524,104.981797 C112.320788,106.229013 110.539078,107.416819 108.757341,108.545253 C106.975605,109.673686 105.327523,110.802102 103.813047,111.930535 C102.298571,113.058968 100.977136,114.231927 99.8487031,115.449447 C98.7202699,116.666967 97.9481956,117.958707 97.5324571,119.324705 L127.910914,119.324705 L127.910914,128.411516 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/superscript": {
"title": "$:/core/images/superscript",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-superscript tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M2.27170276,16 L22.1825093,16 L43.8305003,49.6746527 L66.4138983,16 L85.1220387,16 L53.5854592,61.9685735 L87.3937414,111.411516 L67.0820462,111.411516 L43.295982,74.9306422 L19.1090291,111.411516 L0,111.411516 L33.8082822,61.9685735 L2.27170276,16 Z M127.910914,63.4115159 L85.3276227,63.4115159 C85.3870139,58.2444799 86.6342108,53.7308149 89.0692508,49.8703857 C91.5042907,46.0099565 94.8301491,42.654403 99.0469256,39.8036245 C101.066227,38.318844 103.174584,36.8786285 105.372059,35.4829349 C107.569534,34.0872413 109.588805,32.5876355 111.429933,30.9840726 C113.271061,29.3805097 114.785514,27.6433426 115.973338,25.7725192 C117.161163,23.9016958 117.784761,21.7487964 117.844152,19.3137564 C117.844152,18.1853233 117.710524,16.9826691 117.443264,15.7057579 C117.176003,14.4288467 116.656338,13.2410402 115.884252,12.1423026 C115.112166,11.0435651 114.04314,10.123015 112.677142,9.38062477 C111.311144,8.63823453 109.529434,8.26704499 107.331959,8.26704499 C105.312658,8.26704499 103.634881,8.6679297 102.298579,9.46971115 C100.962276,10.2714926 99.8932503,11.3702137 99.0914688,12.7659073 C98.2896874,14.161601 97.6957841,15.8096826 97.3097412,17.7102016 C96.9236982,19.6107206 96.7009845,21.6596869 96.6415933,23.857162 L86.4857457,23.857162 C86.4857457,20.4124713 86.9460207,17.2202411 87.8665846,14.2803758 C88.7871485,11.3405105 90.1679736,8.80157397 92.0091014,6.6634901 C93.8502292,4.52540622 96.092214,2.84762946 98.7351233,1.63010947 C101.378033,0.412589489 104.451482,-0.196161372 107.955564,-0.196161372 C111.756602,-0.196161372 114.933984,0.427437071 117.487807,1.67465266 C120.041629,2.92186826 122.105443,4.49571195 123.67931,6.39623095 C125.253178,8.29674995 126.366746,10.3605638 127.02005,12.5877345 C127.673353,14.8149053 128,16.9381095 128,18.9574109 C128,21.4518421 127.613963,23.7086746 126.841877,25.727976 C126.069791,27.7472774 125.03046,29.6032252 123.723854,31.2958749 C122.417247,32.9885247 120.932489,34.5475208 119.269534,35.97291 C117.60658,37.3982993 115.884261,38.7345816 114.102524,39.9817972 C112.320788,41.2290128 110.539078,42.4168194 108.757341,43.5452525 C106.975605,44.6736857 105.327523,45.8021019 103.813047,46.9305351 C102.298571,48.0589682 100.977136,49.2319272 99.8487031,50.4494472 C98.7202699,51.6669672 97.9481956,52.9587068 97.5324571,54.3247048 L127.910914,54.3247048 L127.910914,63.4115159 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/tag-button": {
"title": "$:/core/images/tag-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-tag-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M18.1643182,47.6600756 L18.1677196,51.7651887 C18.1708869,55.5878829 20.3581578,60.8623899 23.0531352,63.5573673 L84.9021823,125.406414 C87.5996731,128.103905 91.971139,128.096834 94.6717387,125.396234 L125.766905,94.3010679 C128.473612,91.5943612 128.472063,87.2264889 125.777085,84.5315115 L63.9280381,22.6824644 C61.2305472,19.9849735 55.9517395,17.801995 52.1318769,17.8010313 L25.0560441,17.7942007 C21.2311475,17.7932358 18.1421354,20.8872832 18.1452985,24.7049463 L18.1535504,34.6641936 C18.2481119,34.6754562 18.3439134,34.6864294 18.4409623,34.6971263 C22.1702157,35.1081705 26.9295004,34.6530132 31.806204,33.5444844 C32.1342781,33.0700515 32.5094815,32.6184036 32.9318197,32.1960654 C35.6385117,29.4893734 39.5490441,28.718649 42.94592,29.8824694 C43.0432142,29.8394357 43.1402334,29.7961748 43.2369683,29.7526887 L43.3646982,30.0368244 C44.566601,30.5115916 45.6933052,31.2351533 46.6655958,32.2074439 C50.4612154,36.0030635 50.4663097,42.1518845 46.6769742,45.94122 C43.0594074,49.5587868 37.2914155,49.7181264 33.4734256,46.422636 C28.1082519,47.5454734 22.7987486,48.0186448 18.1643182,47.6600756 Z\"></path>\n <path d=\"M47.6333528,39.5324628 L47.6562932,39.5834939 C37.9670934,43.9391617 26.0718874,46.3819521 17.260095,45.4107025 C5.27267473,44.0894301 -1.02778744,36.4307276 2.44271359,24.0779512 C5.56175386,12.9761516 14.3014034,4.36129832 24.0466405,1.54817001 C34.7269254,-1.53487574 43.7955833,3.51606438 43.7955834,14.7730751 L35.1728168,14.7730752 C35.1728167,9.91428944 32.0946059,8.19982862 26.4381034,9.83267419 C19.5270911,11.8276553 13.046247,18.2159574 10.7440788,26.4102121 C8.82861123,33.2280582 11.161186,36.0634845 18.2047888,36.8398415 C25.3302805,37.6252244 35.7353482,35.4884477 44.1208333,31.7188498 L44.1475077,31.7781871 C44.159701,31.7725635 44.1718402,31.7671479 44.1839238,31.7619434 C45.9448098,31.0035157 50.4503245,38.3109156 47.7081571,39.5012767 C47.6834429,39.512005 47.6585061,39.5223987 47.6333528,39.5324628 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/theme-button": {
"title": "$:/core/images/theme-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-theme-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M55.854113,66.9453198 C54.3299482,65.1432292 53.0133883,63.518995 51.9542746,62.1263761 C40.8899947,47.578055 35.3091807,55.2383404 28.9941893,62.1263758 C22.6791979,69.0144112 30.6577916,74.5954741 24.6646171,79.4611023 C18.6714426,84.3267304 19.0414417,86.0133155 8.92654943,77.1119468 C-1.18834284,68.2105781 -1.88793412,65.7597832 2.7553553,60.6807286 C7.39864472,55.601674 11.2794845,63.5989423 20.7646627,54.5728325 C30.2498409,45.5467226 22.2819131,37.5470737 22.2819131,37.5470737 C22.2819131,37.5470737 42.0310399,-2.82433362 68.4206088,0.157393922 C94.8101776,3.13912147 58.4373806,-3.70356506 49.3898693,27.958066 C45.5161782,41.5139906 50.1107906,38.3197672 57.4560458,44.0453955 C59.1625767,45.3756367 63.8839488,48.777453 70.127165,53.3625321 C63.9980513,59.2416709 58.9704753,64.0315459 55.854113,66.9453198 Z M67.4952439,79.8919946 C83.5082212,96.9282402 105.237121,117.617674 112.611591,120.312493 C123.044132,124.12481 128.000001,117.170903 128,105.522947 C127.999999,98.3705516 104.170675,78.980486 84.0760493,63.7529565 C76.6683337,70.9090328 70.7000957,76.7055226 67.4952439,79.8919946 Z\"></path>\n <path d=\"M58.2852966,138.232794 L58.2852966,88.3943645 C56.318874,88.3923153 54.7254089,86.7952906 54.7254089,84.8344788 C54.7254089,82.8684071 56.3175932,81.2745911 58.2890859,81.2745911 L79.6408336,81.2745911 C81.608998,81.2745911 83.2045105,82.8724076 83.2045105,84.8344788 C83.2045105,86.7992907 81.614366,88.3923238 79.6446228,88.3943645 L79.6446228,88.3943646 L79.6446228,138.232794 C79.6446228,144.131009 74.8631748,148.912457 68.9649597,148.912457 C63.0667446,148.912457 58.2852966,144.131009 58.2852966,138.232794 Z M65.405072,-14.8423767 L72.5248474,-14.8423767 L76.0847351,-0.690681892 L72.5248474,6.51694947 L72.5248474,81.2745911 L65.405072,81.2745911 L65.405072,6.51694947 L61.8451843,-0.690681892 L65.405072,-14.8423767 Z\" transform=\"translate(68.964960, 67.035040) rotate(45.000000) translate(-68.964960, -67.035040) \"></path>\n </g>\n</svg>"
},
"$:/core/images/timestamp-off": {
"title": "$:/core/images/timestamp-off",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-timestamp-off tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M58.25 11C26.08 11 0 37.082 0 69.25s26.08 58.25 58.25 58.25c32.175 0 58.25-26.082 58.25-58.25S90.425 11 58.25 11zm0 100.5C34.914 111.5 16 92.586 16 69.25 16 45.92 34.914 27 58.25 27s42.25 18.92 42.25 42.25c0 23.336-18.914 42.25-42.25 42.25zM49.704 10c-2.762 0-5-2.24-5-5-.004-2.756 2.238-5 5-5H66.69c2.762 0 5.002 2.24 5 5 .006 2.757-2.238 5-5 5H49.705z\"/><path d=\"M58.25 35.88c-18.777 0-33.998 15.224-33.998 33.998 0 18.773 15.22 34.002 33.998 34.002 18.784 0 34.002-15.23 34.002-34.002 0-18.774-15.218-33.998-34.002-33.998zm-3.03 50.123H44.196v-34H55.22v34zm16.976 0H61.17v-34h11.025v34z\"/>\n </g>\n</svg>\n"
},
"$:/core/images/timestamp-on": {
"title": "$:/core/images/timestamp-on",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-timestamp-on tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M58.25 11C26.08 11 0 37.082 0 69.25s26.08 58.25 58.25 58.25c32.175 0 58.25-26.082 58.25-58.25S90.425 11 58.25 11zm0 100.5C34.914 111.5 16 92.586 16 69.25 16 45.92 34.914 27 58.25 27s42.25 18.92 42.25 42.25c0 23.336-18.914 42.25-42.25 42.25zM49.704 10c-2.762 0-5-2.24-5-5-.004-2.756 2.238-5 5-5H66.69c2.762 0 5.002 2.24 5 5 .006 2.757-2.238 5-5 5H49.705z\"/><path d=\"M13.41 27.178c-2.116 1.775-5.27 1.498-7.045-.613-1.772-2.11-1.498-5.27.616-7.047l9.95-8.348c2.115-1.774 5.27-1.5 7.045.618 1.775 2.108 1.498 5.27-.616 7.043l-9.95 8.348zM102.983 27.178c2.116 1.775 5.27 1.498 7.045-.613 1.772-2.11 1.498-5.27-.616-7.047l-9.95-8.348c-2.114-1.774-5.27-1.5-7.044.618-1.775 2.108-1.498 5.27.616 7.043l9.95 8.348zM65.097 71.072c0 3.826-3.09 6.928-6.897 6.928-3.804.006-6.9-3.102-6.903-6.928 0 0 4.76-39.072 6.903-39.072s6.897 39.072 6.897 39.072z\"/>\n </g>\n</svg>\n"
},
"$:/core/images/tip": {
"title": "$:/core/images/tip",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-tip tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M64,128.241818 C99.346224,128.241818 128,99.5880417 128,64.2418177 C128,28.8955937 99.346224,0.241817675 64,0.241817675 C28.653776,0.241817675 0,28.8955937 0,64.2418177 C0,99.5880417 28.653776,128.241818 64,128.241818 Z M75.9358659,91.4531941 C75.3115438,95.581915 70.2059206,98.8016748 64,98.8016748 C57.7940794,98.8016748 52.6884562,95.581915 52.0641341,91.4531941 C54.3299053,94.0502127 58.8248941,95.8192805 64,95.8192805 C69.1751059,95.8192805 73.6700947,94.0502127 75.9358659,91.4531941 L75.9358659,91.4531941 Z M75.9358659,95.9453413 C75.3115438,100.074062 70.2059206,103.293822 64,103.293822 C57.7940794,103.293822 52.6884562,100.074062 52.0641341,95.9453413 C54.3299053,98.5423599 58.8248941,100.311428 64,100.311428 C69.1751059,100.311428 73.6700947,98.5423599 75.9358659,95.9453413 L75.9358659,95.9453413 Z M75.9358659,100.40119 C75.3115438,104.529911 70.2059206,107.74967 64,107.74967 C57.7940794,107.74967 52.6884562,104.529911 52.0641341,100.40119 C54.3299053,102.998208 58.8248941,104.767276 64,104.767276 C69.1751059,104.767276 73.6700947,102.998208 75.9358659,100.40119 L75.9358659,100.40119 Z M75.9358659,104.893337 C75.3115438,109.022058 70.2059206,112.241818 64,112.241818 C57.7940794,112.241818 52.6884562,109.022058 52.0641341,104.893337 C54.3299053,107.490356 58.8248941,109.259423 64,109.259423 C69.1751059,109.259423 73.6700947,107.490356 75.9358659,104.893337 L75.9358659,104.893337 Z M64.3010456,24.2418177 C75.9193117,24.2418188 88.0000013,32.0619847 88,48.4419659 C87.9999987,64.8219472 75.9193018,71.7540963 75.9193021,83.5755932 C75.9193022,89.4486648 70.0521957,92.8368862 63.9999994,92.8368862 C57.947803,92.8368862 51.9731007,89.8295115 51.9731007,83.5755932 C51.9731007,71.1469799 39.9999998,65.4700602 40,48.4419647 C40.0000002,31.4138691 52.6827796,24.2418166 64.3010456,24.2418177 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/twitter": {
"title": "$:/core/images/twitter",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-twitter tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M41.6263422,115.803477 C27.0279663,115.803477 13.4398394,111.540813 1.99987456,104.234833 C4.02221627,104.472643 6.08004574,104.594302 8.16644978,104.594302 C20.277456,104.594302 31.4238403,100.47763 40.270894,93.5715185 C28.9590538,93.3635501 19.4123842,85.9189246 16.1230832,75.6885328 C17.7011365,75.9892376 19.320669,76.1503787 20.9862896,76.1503787 C23.344152,76.1503787 25.6278127,75.8359011 27.7971751,75.247346 C15.9709927,72.8821073 7.06079851,62.4745062 7.06079851,49.9982394 C7.06079851,49.8898938 7.06079851,49.7820074 7.06264203,49.67458 C10.5482779,51.6032228 14.5339687,52.7615103 18.7717609,52.8951059 C11.8355159,48.277565 7.2714207,40.3958845 7.2714207,31.4624258 C7.2714207,26.7434257 8.54621495,22.3200804 10.7713439,18.5169676 C23.5211299,34.0957738 42.568842,44.3472839 64.0532269,45.4210985 C63.6126256,43.5365285 63.3835682,41.5711584 63.3835682,39.5529928 C63.3835682,25.3326379 74.95811,13.8034766 89.2347917,13.8034766 C96.6697089,13.8034766 103.387958,16.930807 108.103682,21.9353619 C113.991886,20.780288 119.52429,18.6372496 124.518847,15.6866694 C122.588682,21.6993889 118.490075,26.7457211 113.152623,29.9327334 C118.381769,29.3102055 123.363882,27.926045 127.999875,25.8780385 C124.534056,31.0418981 120.151087,35.5772616 115.100763,39.2077561 C115.150538,40.3118708 115.175426,41.4224128 115.175426,42.538923 C115.175426,76.5663154 89.1744164,115.803477 41.6263422,115.803477\"></path>\n </g>\n</svg>\n"
},
"$:/core/images/underline": {
"title": "$:/core/images/underline",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-underline tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M7,117.421488 L121.247934,117.421488 L121.247934,128 L7,128 L7,117.421488 Z M104.871212,98.8958333 L104.871212,0 L88.6117424,0 L88.6117424,55.8560606 C88.6117424,60.3194668 88.0060035,64.432115 86.7945076,68.1941288 C85.5830116,71.9561425 83.7657949,75.239885 81.342803,78.0454545 C78.9198111,80.8510241 75.8911167,83.0189317 72.2566288,84.5492424 C68.6221409,86.0795531 64.3182067,86.844697 59.344697,86.844697 C53.0959284,86.844697 48.1862552,85.0593613 44.6155303,81.4886364 C41.0448054,77.9179114 39.2594697,73.0720003 39.2594697,66.9507576 L39.2594697,0 L23,0 L23,65.0378788 C23,70.3939662 23.5419769,75.2717583 24.625947,79.6714015 C25.709917,84.0710447 27.5908957,87.864883 30.2689394,91.0530303 C32.9469831,94.2411776 36.4538925,96.6960141 40.7897727,98.4176136 C45.125653,100.139213 50.545422,101 57.0492424,101 C64.3182182,101 70.630655,99.5653553 75.9867424,96.6960227 C81.3428298,93.8266902 85.742407,89.33147 89.1856061,83.2102273 L89.5681818,83.2102273 L89.5681818,98.8958333 L104.871212,98.8958333 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/unfold-all-button": {
"title": "$:/core/images/unfold-all-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-unfold-all tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"64\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M85.598226,8.34884273 C84.1490432,6.89863875 82.1463102,6 79.9340286,6 L47.9482224,6 C43.5292967,6 39.9411255,9.581722 39.9411255,14 C39.9411255,18.4092877 43.5260249,22 47.9482224,22 L71.9411255,22 L71.9411255,45.9929031 C71.9411255,50.4118288 75.5228475,54 79.9411255,54 C84.3504132,54 87.9411255,50.4151006 87.9411255,45.9929031 L87.9411255,14.0070969 C87.9411255,11.7964515 87.0447363,9.79371715 85.5956548,8.34412458 Z\" transform=\"translate(63.941125, 30.000000) scale(1, -1) rotate(-45.000000) translate(-63.941125, -30.000000) \"></path>\n <path d=\"M85.6571005,72.2899682 C84.2079177,70.8397642 82.2051847,69.9411255 79.9929031,69.9411255 L48.0070969,69.9411255 C43.5881712,69.9411255 40,73.5228475 40,77.9411255 C40,82.3504132 43.5848994,85.9411255 48.0070969,85.9411255 L72,85.9411255 L72,109.934029 C72,114.352954 75.581722,117.941125 80,117.941125 C84.4092877,117.941125 88,114.356226 88,109.934029 L88,77.9482224 C88,75.737577 87.1036108,73.7348426 85.6545293,72.2852501 Z\" transform=\"translate(64.000000, 93.941125) scale(1, -1) rotate(-45.000000) translate(-64.000000, -93.941125) \"></path>\n </g>\n</svg>"
},
"$:/core/images/unfold-button": {
"title": "$:/core/images/unfold-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-unfold tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M85.598226,11.3488427 C84.1490432,9.89863875 82.1463102,9 79.9340286,9 L47.9482224,9 C43.5292967,9 39.9411255,12.581722 39.9411255,17 C39.9411255,21.4092877 43.5260249,25 47.9482224,25 L71.9411255,25 L71.9411255,48.9929031 C71.9411255,53.4118288 75.5228475,57 79.9411255,57 C84.3504132,57 87.9411255,53.4151006 87.9411255,48.9929031 L87.9411255,17.0070969 C87.9411255,14.7964515 87.0447363,12.7937171 85.5956548,11.3441246 Z\" transform=\"translate(63.941125, 33.000000) scale(1, -1) rotate(-45.000000) translate(-63.941125, -33.000000) \"></path>\n <path d=\"M85.6571005,53.4077172 C84.2079177,51.9575133 82.2051847,51.0588745 79.9929031,51.0588745 L48.0070969,51.0588745 C43.5881712,51.0588745 40,54.6405965 40,59.0588745 C40,63.4681622 43.5848994,67.0588745 48.0070969,67.0588745 L72,67.0588745 L72,91.0517776 C72,95.4707033 75.581722,99.0588745 80,99.0588745 C84.4092877,99.0588745 88,95.4739751 88,91.0517776 L88,59.0659714 C88,56.855326 87.1036108,54.8525917 85.6545293,53.4029991 Z\" transform=\"translate(64.000000, 75.058875) scale(1, -1) rotate(-45.000000) translate(-64.000000, -75.058875) \"></path>\n </g>\n</svg>"
},
"$:/core/images/unlocked-padlock": {
"title": "$:/core/images/unlocked-padlock",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-unlocked-padlock tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M48.6266053,64 L105,64 L105,96.0097716 C105,113.673909 90.6736461,128 73.001193,128 L55.998807,128 C38.3179793,128 24,113.677487 24,96.0097716 L24,64 L30.136303,64 C19.6806213,51.3490406 2.77158986,28.2115132 25.8366966,8.85759246 C50.4723026,-11.8141335 71.6711028,13.2108337 81.613302,25.0594855 C91.5555012,36.9081373 78.9368488,47.4964439 69.1559674,34.9513593 C59.375086,22.4062748 47.9893192,10.8049522 35.9485154,20.9083862 C23.9077117,31.0118202 34.192312,43.2685325 44.7624679,55.8655518 C47.229397,58.805523 48.403443,61.5979188 48.6266053,64 Z M67.7315279,92.3641717 C70.8232551,91.0923621 73,88.0503841 73,84.5 C73,79.8055796 69.1944204,76 64.5,76 C59.8055796,76 56,79.8055796 56,84.5 C56,87.947435 58.0523387,90.9155206 61.0018621,92.2491029 L55.9067479,115.020857 L72.8008958,115.020857 L67.7315279,92.3641717 L67.7315279,92.3641717 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/up-arrow": {
"title": "$:/core/images/up-arrow",
"created": "20150316000544368",
"modified": "20150316000831867",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-up-arrow tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n<path transform=\"rotate(-135, 63.8945, 64.1752)\" d=\"m109.07576,109.35336c-1.43248,1.43361 -3.41136,2.32182 -5.59717,2.32182l-79.16816,0c-4.36519,0 -7.91592,-3.5444 -7.91592,-7.91666c0,-4.36337 3.54408,-7.91667 7.91592,-7.91667l71.25075,0l0,-71.25074c0,-4.3652 3.54442,-7.91592 7.91667,-7.91592c4.36336,0 7.91667,3.54408 7.91667,7.91592l0,79.16815c0,2.1825 -0.88602,4.16136 -2.3185,5.59467l-0.00027,-0.00056l0.00001,-0.00001z\" />\n</svg>\n \n"
},
"$:/core/images/video": {
"title": "$:/core/images/video",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-video tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M64,12 C29.0909091,12 8.72727273,14.9166667 5.81818182,17.8333333 C2.90909091,20.75 1.93784382e-15,41.1666667 0,64.5 C1.93784382e-15,87.8333333 2.90909091,108.25 5.81818182,111.166667 C8.72727273,114.083333 29.0909091,117 64,117 C98.9090909,117 119.272727,114.083333 122.181818,111.166667 C125.090909,108.25 128,87.8333333 128,64.5 C128,41.1666667 125.090909,20.75 122.181818,17.8333333 C119.272727,14.9166667 98.9090909,12 64,12 Z M54.9161194,44.6182253 C51.102648,42.0759111 48.0112186,43.7391738 48.0112186,48.3159447 L48.0112186,79.6840553 C48.0112186,84.2685636 51.109784,85.9193316 54.9161194,83.3817747 L77.0838806,68.6032672 C80.897352,66.0609529 80.890216,61.9342897 77.0838806,59.3967328 L54.9161194,44.6182253 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/warning": {
"title": "$:/core/images/warning",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-warning tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M57.0717968,11 C60.1509982,5.66666667 67.8490018,5.66666667 70.9282032,11 L126.353829,107 C129.433031,112.333333 125.584029,119 119.425626,119 L8.57437416,119 C2.41597129,119 -1.43303051,112.333333 1.64617093,107 L57.0717968,11 Z M64,37 C59.581722,37 56,40.5820489 56,44.9935776 L56,73.0064224 C56,77.4211534 59.5907123,81 64,81 C68.418278,81 72,77.4179511 72,73.0064224 L72,44.9935776 C72,40.5788466 68.4092877,37 64,37 Z M64,104 C68.418278,104 72,100.418278 72,96 C72,91.581722 68.418278,88 64,88 C59.581722,88 56,91.581722 56,96 C56,100.418278 59.581722,104 64,104 Z\"></path>\n </g>\n</svg>"
},
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "advanced search"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Advanced search"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "cancel"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Discard changes to this tiddler"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "clone"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Clone this tiddler"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "close"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Close this tiddler"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "close all"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Close all tiddlers"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "close others"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Close other tiddlers"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "control panel"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Open control panel"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "delete"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Delete this tiddler"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "edit"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Edit this tiddler"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "encryption"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Set or clear a password for saving this wiki"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "clear password"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Clear the password and save this wiki without encryption"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "set password"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Set a password for saving this wiki with encryption"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "export all"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Export all tiddlers"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "export tiddler"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Export tiddler"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "export tiddlers"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Export tiddlers"
},
"$:/language/Buttons/Fold/Caption": {
"title": "$:/language/Buttons/Fold/Caption",
"text": "fold tiddler"
},
"$:/language/Buttons/Fold/Hint": {
"title": "$:/language/Buttons/Fold/Hint",
"text": "Fold the body of this tiddler"
},
"$:/language/Buttons/Fold/FoldBar/Caption": {
"title": "$:/language/Buttons/Fold/FoldBar/Caption",
"text": "fold-bar"
},
"$:/language/Buttons/Fold/FoldBar/Hint": {
"title": "$:/language/Buttons/Fold/FoldBar/Hint",
"text": "Optional bars to fold and unfold tiddlers"
},
"$:/language/Buttons/Unfold/Caption": {
"title": "$:/language/Buttons/Unfold/Caption",
"text": "unfold tiddler"
},
"$:/language/Buttons/Unfold/Hint": {
"title": "$:/language/Buttons/Unfold/Hint",
"text": "Unfold the body of this tiddler"
},
"$:/language/Buttons/FoldOthers/Caption": {
"title": "$:/language/Buttons/FoldOthers/Caption",
"text": "fold other tiddlers"
},
"$:/language/Buttons/FoldOthers/Hint": {
"title": "$:/language/Buttons/FoldOthers/Hint",
"text": "Fold the bodies of other opened tiddlers"
},
"$:/language/Buttons/FoldAll/Caption": {
"title": "$:/language/Buttons/FoldAll/Caption",
"text": "fold all tiddlers"
},
"$:/language/Buttons/FoldAll/Hint": {
"title": "$:/language/Buttons/FoldAll/Hint",
"text": "Fold the bodies of all opened tiddlers"
},
"$:/language/Buttons/UnfoldAll/Caption": {
"title": "$:/language/Buttons/UnfoldAll/Caption",
"text": "unfold all tiddlers"
},
"$:/language/Buttons/UnfoldAll/Hint": {
"title": "$:/language/Buttons/UnfoldAll/Hint",
"text": "Unfold the bodies of all opened tiddlers"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "full-screen"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Enter or leave full-screen mode"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "help"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Show help panel"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "import"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Import many types of file including text, image, TiddlyWiki or JSON"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "info"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Show information for this tiddler"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "home"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Open the default tiddlers"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "language"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Choose the user interface language"
},
"$:/language/Buttons/Manager/Caption": {
"title": "$:/language/Buttons/Manager/Caption",
"text": "tiddler manager"
},
"$:/language/Buttons/Manager/Hint": {
"title": "$:/language/Buttons/Manager/Hint",
"text": "Open tiddler manager"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "more"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "More actions"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "new here"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Create a new tiddler tagged with this one"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "new journal"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Create a new journal tiddler"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "new journal here"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Create a new journal tiddler tagged with this one"
},
"$:/language/Buttons/NewImage/Caption": {
"title": "$:/language/Buttons/NewImage/Caption",
"text": "new image"
},
"$:/language/Buttons/NewImage/Hint": {
"title": "$:/language/Buttons/NewImage/Hint",
"text": "Create a new image tiddler"
},
"$:/language/Buttons/NewMarkdown/Caption": {
"title": "$:/language/Buttons/NewMarkdown/Caption",
"text": "new Markdown tiddler"
},
"$:/language/Buttons/NewMarkdown/Hint": {
"title": "$:/language/Buttons/NewMarkdown/Hint",
"text": "Create a new Markdown tiddler"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "new tiddler"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Create a new tiddler"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "open in new window"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Open tiddler in new window"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "palette"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Choose the colour palette"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "permalink"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Set browser address bar to a direct link to this tiddler"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "permaview"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Set browser address bar to a direct link to all the tiddlers in this story"
},
"$:/language/Buttons/Print/Caption": {
"title": "$:/language/Buttons/Print/Caption",
"text": "print page"
},
"$:/language/Buttons/Print/Hint": {
"title": "$:/language/Buttons/Print/Hint",
"text": "Print the current page"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "refresh"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Perform a full refresh of the wiki"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "ok"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Confirm changes to this tiddler"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "save changes"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Save changes"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "storyview"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Choose the story visualisation"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "hide sidebar"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Hide sidebar"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "show sidebar"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Show sidebar"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "tag manager"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Open tag manager"
},
"$:/language/Buttons/Timestamp/Caption": {
"title": "$:/language/Buttons/Timestamp/Caption",
"text": "timestamps"
},
"$:/language/Buttons/Timestamp/Hint": {
"title": "$:/language/Buttons/Timestamp/Hint",
"text": "Choose whether modifications update timestamps"
},
"$:/language/Buttons/Timestamp/On/Caption": {
"title": "$:/language/Buttons/Timestamp/On/Caption",
"text": "timestamps are on"
},
"$:/language/Buttons/Timestamp/On/Hint": {
"title": "$:/language/Buttons/Timestamp/On/Hint",
"text": "Update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Timestamp/Off/Caption": {
"title": "$:/language/Buttons/Timestamp/Off/Caption",
"text": "timestamps are off"
},
"$:/language/Buttons/Timestamp/Off/Hint": {
"title": "$:/language/Buttons/Timestamp/Off/Hint",
"text": "Don't update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "theme"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Choose the display theme"
},
"$:/language/Buttons/Bold/Caption": {
"title": "$:/language/Buttons/Bold/Caption",
"text": "bold"
},
"$:/language/Buttons/Bold/Hint": {
"title": "$:/language/Buttons/Bold/Hint",
"text": "Apply bold formatting to selection"
},
"$:/language/Buttons/Clear/Caption": {
"title": "$:/language/Buttons/Clear/Caption",
"text": "clear"
},
"$:/language/Buttons/Clear/Hint": {
"title": "$:/language/Buttons/Clear/Hint",
"text": "Clear image to solid colour"
},
"$:/language/Buttons/EditorHeight/Caption": {
"title": "$:/language/Buttons/EditorHeight/Caption",
"text": "editor height"
},
"$:/language/Buttons/EditorHeight/Caption/Auto": {
"title": "$:/language/Buttons/EditorHeight/Caption/Auto",
"text": "Automatically adjust height to fit content"
},
"$:/language/Buttons/EditorHeight/Caption/Fixed": {
"title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
"text": "Fixed height:"
},
"$:/language/Buttons/EditorHeight/Hint": {
"title": "$:/language/Buttons/EditorHeight/Hint",
"text": "Choose the height of the text editor"
},
"$:/language/Buttons/Excise/Caption": {
"title": "$:/language/Buttons/Excise/Caption",
"text": "excise"
},
"$:/language/Buttons/Excise/Caption/Excise": {
"title": "$:/language/Buttons/Excise/Caption/Excise",
"text": "Perform excision"
},
"$:/language/Buttons/Excise/Caption/MacroName": {
"title": "$:/language/Buttons/Excise/Caption/MacroName",
"text": "Macro name:"
},
"$:/language/Buttons/Excise/Caption/NewTitle": {
"title": "$:/language/Buttons/Excise/Caption/NewTitle",
"text": "Title of new tiddler:"
},
"$:/language/Buttons/Excise/Caption/Replace": {
"title": "$:/language/Buttons/Excise/Caption/Replace",
"text": "Replace excised text with:"
},
"$:/language/Buttons/Excise/Caption/Replace/Macro": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Macro",
"text": "macro"
},
"$:/language/Buttons/Excise/Caption/Replace/Link": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Link",
"text": "link"
},
"$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
"text": "transclusion"
},
"$:/language/Buttons/Excise/Caption/Tag": {
"title": "$:/language/Buttons/Excise/Caption/Tag",
"text": "Tag new tiddler with the title of this tiddler"
},
"$:/language/Buttons/Excise/Caption/TiddlerExists": {
"title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
"text": "Warning: tiddler already exists"
},
"$:/language/Buttons/Excise/Hint": {
"title": "$:/language/Buttons/Excise/Hint",
"text": "Excise the selected text into a new tiddler"
},
"$:/language/Buttons/Heading1/Caption": {
"title": "$:/language/Buttons/Heading1/Caption",
"text": "heading 1"
},
"$:/language/Buttons/Heading1/Hint": {
"title": "$:/language/Buttons/Heading1/Hint",
"text": "Apply heading level 1 formatting to lines containing selection"
},
"$:/language/Buttons/Heading2/Caption": {
"title": "$:/language/Buttons/Heading2/Caption",
"text": "heading 2"
},
"$:/language/Buttons/Heading2/Hint": {
"title": "$:/language/Buttons/Heading2/Hint",
"text": "Apply heading level 2 formatting to lines containing selection"
},
"$:/language/Buttons/Heading3/Caption": {
"title": "$:/language/Buttons/Heading3/Caption",
"text": "heading 3"
},
"$:/language/Buttons/Heading3/Hint": {
"title": "$:/language/Buttons/Heading3/Hint",
"text": "Apply heading level 3 formatting to lines containing selection"
},
"$:/language/Buttons/Heading4/Caption": {
"title": "$:/language/Buttons/Heading4/Caption",
"text": "heading 4"
},
"$:/language/Buttons/Heading4/Hint": {
"title": "$:/language/Buttons/Heading4/Hint",
"text": "Apply heading level 4 formatting to lines containing selection"
},
"$:/language/Buttons/Heading5/Caption": {
"title": "$:/language/Buttons/Heading5/Caption",
"text": "heading 5"
},
"$:/language/Buttons/Heading5/Hint": {
"title": "$:/language/Buttons/Heading5/Hint",
"text": "Apply heading level 5 formatting to lines containing selection"
},
"$:/language/Buttons/Heading6/Caption": {
"title": "$:/language/Buttons/Heading6/Caption",
"text": "heading 6"
},
"$:/language/Buttons/Heading6/Hint": {
"title": "$:/language/Buttons/Heading6/Hint",
"text": "Apply heading level 6 formatting to lines containing selection"
},
"$:/language/Buttons/Italic/Caption": {
"title": "$:/language/Buttons/Italic/Caption",
"text": "italic"
},
"$:/language/Buttons/Italic/Hint": {
"title": "$:/language/Buttons/Italic/Hint",
"text": "Apply italic formatting to selection"
},
"$:/language/Buttons/LineWidth/Caption": {
"title": "$:/language/Buttons/LineWidth/Caption",
"text": "line width"
},
"$:/language/Buttons/LineWidth/Hint": {
"title": "$:/language/Buttons/LineWidth/Hint",
"text": "Set line width for painting"
},
"$:/language/Buttons/Link/Caption": {
"title": "$:/language/Buttons/Link/Caption",
"text": "link"
},
"$:/language/Buttons/Link/Hint": {
"title": "$:/language/Buttons/Link/Hint",
"text": "Create wikitext link"
},
"$:/language/Buttons/ListBullet/Caption": {
"title": "$:/language/Buttons/ListBullet/Caption",
"text": "bulleted list"
},
"$:/language/Buttons/ListBullet/Hint": {
"title": "$:/language/Buttons/ListBullet/Hint",
"text": "Apply bulleted list formatting to lines containing selection"
},
"$:/language/Buttons/ListNumber/Caption": {
"title": "$:/language/Buttons/ListNumber/Caption",
"text": "numbered list"
},
"$:/language/Buttons/ListNumber/Hint": {
"title": "$:/language/Buttons/ListNumber/Hint",
"text": "Apply numbered list formatting to lines containing selection"
},
"$:/language/Buttons/MonoBlock/Caption": {
"title": "$:/language/Buttons/MonoBlock/Caption",
"text": "monospaced block"
},
"$:/language/Buttons/MonoBlock/Hint": {
"title": "$:/language/Buttons/MonoBlock/Hint",
"text": "Apply monospaced block formatting to lines containing selection"
},
"$:/language/Buttons/MonoLine/Caption": {
"title": "$:/language/Buttons/MonoLine/Caption",
"text": "monospaced"
},
"$:/language/Buttons/MonoLine/Hint": {
"title": "$:/language/Buttons/MonoLine/Hint",
"text": "Apply monospaced character formatting to selection"
},
"$:/language/Buttons/Opacity/Caption": {
"title": "$:/language/Buttons/Opacity/Caption",
"text": "opacity"
},
"$:/language/Buttons/Opacity/Hint": {
"title": "$:/language/Buttons/Opacity/Hint",
"text": "Set painting opacity"
},
"$:/language/Buttons/Paint/Caption": {
"title": "$:/language/Buttons/Paint/Caption",
"text": "paint colour"
},
"$:/language/Buttons/Paint/Hint": {
"title": "$:/language/Buttons/Paint/Hint",
"text": "Set painting colour"
},
"$:/language/Buttons/Picture/Caption": {
"title": "$:/language/Buttons/Picture/Caption",
"text": "picture"
},
"$:/language/Buttons/Picture/Hint": {
"title": "$:/language/Buttons/Picture/Hint",
"text": "Insert picture"
},
"$:/language/Buttons/Preview/Caption": {
"title": "$:/language/Buttons/Preview/Caption",
"text": "preview"
},
"$:/language/Buttons/Preview/Hint": {
"title": "$:/language/Buttons/Preview/Hint",
"text": "Show preview pane"
},
"$:/language/Buttons/PreviewType/Caption": {
"title": "$:/language/Buttons/PreviewType/Caption",
"text": "preview type"
},
"$:/language/Buttons/PreviewType/Hint": {
"title": "$:/language/Buttons/PreviewType/Hint",
"text": "Choose preview type"
},
"$:/language/Buttons/Quote/Caption": {
"title": "$:/language/Buttons/Quote/Caption",
"text": "quote"
},
"$:/language/Buttons/Quote/Hint": {
"title": "$:/language/Buttons/Quote/Hint",
"text": "Apply quoted text formatting to lines containing selection"
},
"$:/language/Buttons/Size/Caption": {
"title": "$:/language/Buttons/Size/Caption",
"text": "image size"
},
"$:/language/Buttons/Size/Caption/Height": {
"title": "$:/language/Buttons/Size/Caption/Height",
"text": "Height:"
},
"$:/language/Buttons/Size/Caption/Resize": {
"title": "$:/language/Buttons/Size/Caption/Resize",
"text": "Resize image"
},
"$:/language/Buttons/Size/Caption/Width": {
"title": "$:/language/Buttons/Size/Caption/Width",
"text": "Width:"
},
"$:/language/Buttons/Size/Hint": {
"title": "$:/language/Buttons/Size/Hint",
"text": "Set image size"
},
"$:/language/Buttons/Stamp/Caption": {
"title": "$:/language/Buttons/Stamp/Caption",
"text": "stamp"
},
"$:/language/Buttons/Stamp/Caption/New": {
"title": "$:/language/Buttons/Stamp/Caption/New",
"text": "Add your own"
},
"$:/language/Buttons/Stamp/Hint": {
"title": "$:/language/Buttons/Stamp/Hint",
"text": "Insert a preconfigured snippet of text"
},
"$:/language/Buttons/Stamp/New/Title": {
"title": "$:/language/Buttons/Stamp/New/Title",
"text": "Name as shown in menu"
},
"$:/language/Buttons/Stamp/New/Text": {
"title": "$:/language/Buttons/Stamp/New/Text",
"text": "Text of snippet. (Remember to add a descriptive title in the caption field)."
},
"$:/language/Buttons/Strikethrough/Caption": {
"title": "$:/language/Buttons/Strikethrough/Caption",
"text": "strikethrough"
},
"$:/language/Buttons/Strikethrough/Hint": {
"title": "$:/language/Buttons/Strikethrough/Hint",
"text": "Apply strikethrough formatting to selection"
},
"$:/language/Buttons/Subscript/Caption": {
"title": "$:/language/Buttons/Subscript/Caption",
"text": "subscript"
},
"$:/language/Buttons/Subscript/Hint": {
"title": "$:/language/Buttons/Subscript/Hint",
"text": "Apply subscript formatting to selection"
},
"$:/language/Buttons/Superscript/Caption": {
"title": "$:/language/Buttons/Superscript/Caption",
"text": "superscript"
},
"$:/language/Buttons/Superscript/Hint": {
"title": "$:/language/Buttons/Superscript/Hint",
"text": "Apply superscript formatting to selection"
},
"$:/language/Buttons/Underline/Caption": {
"title": "$:/language/Buttons/Underline/Caption",
"text": "underline"
},
"$:/language/Buttons/Underline/Hint": {
"title": "$:/language/Buttons/Underline/Hint",
"text": "Apply underline formatting to selection"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Advanced"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Internal information about this TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Appearance"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Ways to customise the appearance of your TiddlyWiki."
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Animation duration:"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Basics"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Use [[double square brackets]] for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Default tiddlers:"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Choose which tiddlers are displayed at startup:"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "Hello! Current language:"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Title of new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Text/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt",
"text": "Text for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Tags for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Number of overridden shadow tiddlers:"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Number of shadow tiddlers:"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Subtitle:"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Number of system tiddlers:"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Number of tags:"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Number of tiddlers:"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Title of this ~TiddlyWiki:"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Username for signing edits:"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "~TiddlyWiki version:"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Editor Types"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Editor"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "These tiddlers determine which editor is used to edit specific tiddler types."
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Type"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Info"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Information about this TiddlyWiki"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
"text": "Type shortcut here"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
"text": "add shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
"text": "Keyboard Shortcuts"
},
"$:/language/ControlPanel/KeyboardShortcuts/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
"text": "Manage keyboard shortcut assignments"
},
"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
"text": "No keyboard shortcuts assigned"
},
"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
"text": "remove keyboard shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
"text": "All platforms"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
"text": "Macintosh platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
"text": "Non-Macintosh platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
"text": "Linux platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
"text": "Non-Linux platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
"text": "Windows platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
"text": "Non-Windows platforms only"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Loaded Modules"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Palette"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "clone"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "It is recommended that you clone this shadow palette before editing it"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "This shadow palette has been modified"
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Editing"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "reset"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "hide editor"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Current palette:"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "show editor"
},
"$:/language/ControlPanel/Parsing/Caption": {
"title": "$:/language/ControlPanel/Parsing/Caption",
"text": "Parsing"
},
"$:/language/ControlPanel/Parsing/Hint": {
"title": "$:/language/ControlPanel/Parsing/Hint",
"text": "Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."
},
"$:/language/ControlPanel/Parsing/Block/Caption": {
"title": "$:/language/ControlPanel/Parsing/Block/Caption",
"text": "Block Parse Rules"
},
"$:/language/ControlPanel/Parsing/Inline/Caption": {
"title": "$:/language/ControlPanel/Parsing/Inline/Caption",
"text": "Inline Parse Rules"
},
"$:/language/ControlPanel/Parsing/Pragma/Caption": {
"title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
"text": "Pragma Parse Rules"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Get more plugins"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Install plugins from the official library"
},
"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint",
"text": "This plugin is already installed at version <$text text=<<installedVersion>>/>"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "disable"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Disable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(disabled)"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "None"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "enable"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Enable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Install/Caption": {
"title": "$:/language/ControlPanel/Plugins/Install/Caption",
"text": "install"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Currently installed plugins:"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Languages"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Language pack plugins"
},
"$:/language/ControlPanel/Plugins/NoInfoFound/Hint": {
"title": "$:/language/ControlPanel/Plugins/NoInfoFound/Hint",
"text": "No ''\"<$text text=<<currentTab>>/>\"'' found"
},
"$:/language/ControlPanel/Plugins/NotInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/NotInstalled/Hint",
"text": "This plugin is not currently installed"
},
"$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
"text": "open plugin library"
},
"$:/language/ControlPanel/Plugins/ClosePluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/ClosePluginLibrary",
"text": "close plugin library"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Reinstall/Caption": {
"title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
"text": "reinstall"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Themes"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Theme plugins"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Saving"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description",
"text": "Permit automatic saving for the download saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint",
"text": "Enable Autosave for Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Caption": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Caption",
"text": "Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Hint",
"text": "These settings apply to the HTML5-compatible download saver"
},
"$:/language/ControlPanel/Saving/General/Caption": {
"title": "$:/language/ControlPanel/Saving/General/Caption",
"text": "General"
},
"$:/language/ControlPanel/Saving/General/Hint": {
"title": "$:/language/ControlPanel/Saving/General/Hint",
"text": "These settings apply to all the loaded savers"
},
"$:/language/ControlPanel/Saving/Hint": {
"title": "$:/language/ControlPanel/Saving/Hint",
"text": "Settings used for saving the entire TiddlyWiki as a single file via a saver module"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Advanced Settings"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Backup Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Backups"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Caption": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Caption",
"text": "~TiddlySpot Saver"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Upload Filename"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Password"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "Server URL"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Upload Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Wiki Name"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Autosave"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "Do not save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Attempt to automatically save changes during editing when using a supporting saver"
},
"$:/language/ControlPanel/Settings/CamelCase/Caption": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
"text": "Camel Case Wiki Links"
},
"$:/language/ControlPanel/Settings/CamelCase/Hint": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
"text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/CamelCase/Description": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Description",
"text": "Enable automatic ~CamelCase linking"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Settings"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Hint",
"text": "Enable or disable the editor toolbar:"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Description": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Description",
"text": "Show editor toolbar"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Caption": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Caption",
"text": "Tiddler Info Panel Mode"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Hint": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Hint",
"text": "Control when the tiddler info panel closes:"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description",
"text": "Tiddler info panel closes automatically"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description",
"text": "Tiddler info panel stays open until explicitly closed"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "These settings let you customise the behaviour of TiddlyWiki."
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Navigation Address Bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Behaviour of the browser address bar when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "Do not update the address bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Include the target tiddler"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Include the target tiddler and the current story sequence"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "Navigation History"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Update browser history when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "Do not update history"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Update history"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
"text": "Performance Instrumentation"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
"text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
"text": "Enable performance instrumentation"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Toolbar Button Style"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Choose the style for toolbar buttons:"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Borderless"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Boxed"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Rounded"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Toolbar Buttons"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Default toolbar button appearance:"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Include icon"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Include text"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Default Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Specify which sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Tiddler Opening Behaviour"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "Navigation from //within// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "Navigation from //outside// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Open above the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Open below the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Open at the top of the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Open at the bottom of the story river"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Tiddler Titles"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Optionally display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "Do not display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Caption",
"text": "Wiki Links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Hint",
"text": "Choose whether to link to tiddlers that do not exist yet"
},
"$:/language/ControlPanel/Settings/MissingLinks/Description": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Description",
"text": "Enable links to missing tiddlers"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Story View"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Current view:"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Theme"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Current theme:"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Tiddler Fields"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Toolbars"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "Edit Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in edit mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Select which toolbar buttons are displayed"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Page Toolbar"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Choose which buttons are displayed on the main page toolbar. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint",
"text": "Choose which buttons are displayed in the editor toolbar. Note that some buttons will only appear when editing tiddlers of a certain type. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "View Toolbar"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in view mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Download full wiki"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "st"
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": "nd"
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": "rd"
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": "th"
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": "th"
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": "th"
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": "th"
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": "th"
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": "th"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": "th"
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": "th"
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": "th"
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": "th"
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": "th"
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": "th"
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": "th"
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": "th"
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": "th"
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": "th"
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": "th"
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": "st"
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": "nd"
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": "rd"
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": "th"
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": "th"
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": "th"
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": "th"
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": "th"
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": "th"
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": "th"
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": "st"
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "Sunday"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "Monday"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "Tuesday"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "Wednesday"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "Thursday"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "Friday"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "Saturday"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "January"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "February"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "March"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "April"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "May"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "June"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "July"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "August"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "September"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "October"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "November"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "December"
},
"$:/language/Date/Period/am": {
"title": "$:/language/Date/Period/am",
"text": "am"
},
"$:/language/Date/Period/pm": {
"title": "$:/language/Date/Period/pm",
"text": "pm"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Sun"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Mon"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Tue"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Wed"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Thu"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Fri"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Sat"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "Jan"
},
"$:/language/Date/Short/Month/2": {
"title": "$:/language/Date/Short/Month/2",
"text": "Feb"
},
"$:/language/Date/Short/Month/3": {
"title": "$:/language/Date/Short/Month/3",
"text": "Mar"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "Apr"
},
"$:/language/Date/Short/Month/5": {
"title": "$:/language/Date/Short/Month/5",
"text": "May"
},
"$:/language/Date/Short/Month/6": {
"title": "$:/language/Date/Short/Month/6",
"text": "Jun"
},
"$:/language/Date/Short/Month/7": {
"title": "$:/language/Date/Short/Month/7",
"text": "Jul"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "Aug"
},
"$:/language/Date/Short/Month/9": {
"title": "$:/language/Date/Short/Month/9",
"text": "Sep"
},
"$:/language/Date/Short/Month/10": {
"title": "$:/language/Date/Short/Month/10",
"text": "Oct"
},
"$:/language/Date/Short/Month/11": {
"title": "$:/language/Date/Short/Month/11",
"text": "Nov"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "Dec"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "<<period>> days from now"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "<<period>> hours from now"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "<<period>> minutes from now"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "<<period>> months from now"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "1 second from now"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "<<period>> seconds from now"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "<<period>> years from now"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "<<period>> days ago"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "<<period>> hours ago"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "<<period>> minutes ago"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "<<period>> months ago"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "1 second ago"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "<<period>> seconds ago"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "<<period>> years ago"
},
"$:/language/Docs/ModuleTypes/allfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/allfilteroperator",
"text": "A sub-operator for the ''all'' filter operator."
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Animations that may be used with the RevealWidget."
},
"$:/language/Docs/ModuleTypes/bitmapeditoroperation": {
"title": "$:/language/Docs/ModuleTypes/bitmapeditoroperation",
"text": "A bitmap editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Commands that can be executed under Node.js."
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Data to be inserted into `$tw.config`."
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Individual filter operator methods."
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Global data to be inserted into `$tw`."
},
"$:/language/Docs/ModuleTypes/info": {
"title": "$:/language/Docs/ModuleTypes/info",
"text": "Publishes system information via the [[$:/temp/info-plugin]] pseudo-plugin."
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Operands for the ''is'' filter operator."
},
"$:/language/Docs/ModuleTypes/library": {
"title": "$:/language/Docs/ModuleTypes/library",
"text": "Generic module type for general purpose JavaScript modules."
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "JavaScript macro definitions."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Parsers for different content types."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Savers handle different methods for saving files from the browser."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Startup functions."
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Story views customise the animation and behaviour of list widgets."
},
"$:/language/Docs/ModuleTypes/texteditoroperation": {
"title": "$:/language/Docs/ModuleTypes/texteditoroperation",
"text": "A text editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Converts different content types into tiddlers."
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Defines the behaviour of an individual tiddler field."
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Adds methods to the `$tw.Tiddler` prototype."
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Applies upgrade processing to tiddlers during an upgrade/import."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Adds methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Adds Node.js-specific methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Widgets encapsulate DOM rendering and refreshing."
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Adds methods to `$tw.Wiki`."
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Individual parser rules for the main WikiText parser."
},
"$:/language/Docs/PaletteColours/alert-background": {
"title": "$:/language/Docs/PaletteColours/alert-background",
"text": "Alert background"
},
"$:/language/Docs/PaletteColours/alert-border": {
"title": "$:/language/Docs/PaletteColours/alert-border",
"text": "Alert border"
},
"$:/language/Docs/PaletteColours/alert-highlight": {
"title": "$:/language/Docs/PaletteColours/alert-highlight",
"text": "Alert highlight"
},
"$:/language/Docs/PaletteColours/alert-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
"text": "Alert muted foreground"
},
"$:/language/Docs/PaletteColours/background": {
"title": "$:/language/Docs/PaletteColours/background",
"text": "General background"
},
"$:/language/Docs/PaletteColours/blockquote-bar": {
"title": "$:/language/Docs/PaletteColours/blockquote-bar",
"text": "Blockquote bar"
},
"$:/language/Docs/PaletteColours/button-background": {
"title": "$:/language/Docs/PaletteColours/button-background",
"text": "Default button background"
},
"$:/language/Docs/PaletteColours/button-border": {
"title": "$:/language/Docs/PaletteColours/button-border",
"text": "Default button border"
},
"$:/language/Docs/PaletteColours/button-foreground": {
"title": "$:/language/Docs/PaletteColours/button-foreground",
"text": "Default button foreground"
},
"$:/language/Docs/PaletteColours/dirty-indicator": {
"title": "$:/language/Docs/PaletteColours/dirty-indicator",
"text": "Unsaved changes indicator"
},
"$:/language/Docs/PaletteColours/code-background": {
"title": "$:/language/Docs/PaletteColours/code-background",
"text": "Code background"
},
"$:/language/Docs/PaletteColours/code-border": {
"title": "$:/language/Docs/PaletteColours/code-border",
"text": "Code border"
},
"$:/language/Docs/PaletteColours/code-foreground": {
"title": "$:/language/Docs/PaletteColours/code-foreground",
"text": "Code foreground"
},
"$:/language/Docs/PaletteColours/download-background": {
"title": "$:/language/Docs/PaletteColours/download-background",
"text": "Download button background"
},
"$:/language/Docs/PaletteColours/download-foreground": {
"title": "$:/language/Docs/PaletteColours/download-foreground",
"text": "Download button foreground"
},
"$:/language/Docs/PaletteColours/dragger-background": {
"title": "$:/language/Docs/PaletteColours/dragger-background",
"text": "Dragger background"
},
"$:/language/Docs/PaletteColours/dragger-foreground": {
"title": "$:/language/Docs/PaletteColours/dragger-foreground",
"text": "Dragger foreground"
},
"$:/language/Docs/PaletteColours/dropdown-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-background",
"text": "Dropdown background"
},
"$:/language/Docs/PaletteColours/dropdown-border": {
"title": "$:/language/Docs/PaletteColours/dropdown-border",
"text": "Dropdown border"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
"text": "Dropdown tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
"text": "Dropdown tab background"
},
"$:/language/Docs/PaletteColours/dropzone-background": {
"title": "$:/language/Docs/PaletteColours/dropzone-background",
"text": "Dropzone background"
},
"$:/language/Docs/PaletteColours/external-link-background-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-background-hover",
"text": "External link background hover"
},
"$:/language/Docs/PaletteColours/external-link-background-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-background-visited",
"text": "External link background visited"
},
"$:/language/Docs/PaletteColours/external-link-background": {
"title": "$:/language/Docs/PaletteColours/external-link-background",
"text": "External link background"
},
"$:/language/Docs/PaletteColours/external-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
"text": "External link foreground hover"
},
"$:/language/Docs/PaletteColours/external-link-foreground-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
"text": "External link foreground visited"
},
"$:/language/Docs/PaletteColours/external-link-foreground": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground",
"text": "External link foreground"
},
"$:/language/Docs/PaletteColours/foreground": {
"title": "$:/language/Docs/PaletteColours/foreground",
"text": "General foreground"
},
"$:/language/Docs/PaletteColours/message-background": {
"title": "$:/language/Docs/PaletteColours/message-background",
"text": "Message box background"
},
"$:/language/Docs/PaletteColours/message-border": {
"title": "$:/language/Docs/PaletteColours/message-border",
"text": "Message box border"
},
"$:/language/Docs/PaletteColours/message-foreground": {
"title": "$:/language/Docs/PaletteColours/message-foreground",
"text": "Message box foreground"
},
"$:/language/Docs/PaletteColours/modal-backdrop": {
"title": "$:/language/Docs/PaletteColours/modal-backdrop",
"text": "Modal backdrop"
},
"$:/language/Docs/PaletteColours/modal-background": {
"title": "$:/language/Docs/PaletteColours/modal-background",
"text": "Modal background"
},
"$:/language/Docs/PaletteColours/modal-border": {
"title": "$:/language/Docs/PaletteColours/modal-border",
"text": "Modal border"
},
"$:/language/Docs/PaletteColours/modal-footer-background": {
"title": "$:/language/Docs/PaletteColours/modal-footer-background",
"text": "Modal footer background"
},
"$:/language/Docs/PaletteColours/modal-footer-border": {
"title": "$:/language/Docs/PaletteColours/modal-footer-border",
"text": "Modal footer border"
},
"$:/language/Docs/PaletteColours/modal-header-border": {
"title": "$:/language/Docs/PaletteColours/modal-header-border",
"text": "Modal header border"
},
"$:/language/Docs/PaletteColours/muted-foreground": {
"title": "$:/language/Docs/PaletteColours/muted-foreground",
"text": "General muted foreground"
},
"$:/language/Docs/PaletteColours/notification-background": {
"title": "$:/language/Docs/PaletteColours/notification-background",
"text": "Notification background"
},
"$:/language/Docs/PaletteColours/notification-border": {
"title": "$:/language/Docs/PaletteColours/notification-border",
"text": "Notification border"
},
"$:/language/Docs/PaletteColours/page-background": {
"title": "$:/language/Docs/PaletteColours/page-background",
"text": "Page background"
},
"$:/language/Docs/PaletteColours/pre-background": {
"title": "$:/language/Docs/PaletteColours/pre-background",
"text": "Preformatted code background"
},
"$:/language/Docs/PaletteColours/pre-border": {
"title": "$:/language/Docs/PaletteColours/pre-border",
"text": "Preformatted code border"
},
"$:/language/Docs/PaletteColours/primary": {
"title": "$:/language/Docs/PaletteColours/primary",
"text": "General primary"
},
"$:/language/Docs/PaletteColours/sidebar-button-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
"text": "Sidebar button foreground"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
"text": "Sidebar controls foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
"text": "Sidebar controls foreground"
},
"$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
"text": "Sidebar foreground shadow"
},
"$:/language/Docs/PaletteColours/sidebar-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground",
"text": "Sidebar foreground"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
"text": "Sidebar muted foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
"text": "Sidebar muted foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
"text": "Sidebar tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
"text": "Sidebar tab background"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
"text": "Sidebar tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
"text": "Sidebar tab border"
},
"$:/language/Docs/PaletteColours/sidebar-tab-divider": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
"text": "Sidebar tab divider"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
"text": "Sidebar tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
"text": "Sidebar tab foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
"text": "Sidebar tiddler link foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
"text": "Sidebar tiddler link foreground"
},
"$:/language/Docs/PaletteColours/site-title-foreground": {
"title": "$:/language/Docs/PaletteColours/site-title-foreground",
"text": "Site title foreground"
},
"$:/language/Docs/PaletteColours/static-alert-foreground": {
"title": "$:/language/Docs/PaletteColours/static-alert-foreground",
"text": "Static alert foreground"
},
"$:/language/Docs/PaletteColours/tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/tab-background-selected",
"text": "Tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-background": {
"title": "$:/language/Docs/PaletteColours/tab-background",
"text": "Tab background"
},
"$:/language/Docs/PaletteColours/tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/tab-border-selected",
"text": "Tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-border": {
"title": "$:/language/Docs/PaletteColours/tab-border",
"text": "Tab border"
},
"$:/language/Docs/PaletteColours/tab-divider": {
"title": "$:/language/Docs/PaletteColours/tab-divider",
"text": "Tab divider"
},
"$:/language/Docs/PaletteColours/tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
"text": "Tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-foreground": {
"title": "$:/language/Docs/PaletteColours/tab-foreground",
"text": "Tab foreground"
},
"$:/language/Docs/PaletteColours/table-border": {
"title": "$:/language/Docs/PaletteColours/table-border",
"text": "Table border"
},
"$:/language/Docs/PaletteColours/table-footer-background": {
"title": "$:/language/Docs/PaletteColours/table-footer-background",
"text": "Table footer background"
},
"$:/language/Docs/PaletteColours/table-header-background": {
"title": "$:/language/Docs/PaletteColours/table-header-background",
"text": "Table header background"
},
"$:/language/Docs/PaletteColours/tag-background": {
"title": "$:/language/Docs/PaletteColours/tag-background",
"text": "Tag background"
},
"$:/language/Docs/PaletteColours/tag-foreground": {
"title": "$:/language/Docs/PaletteColours/tag-foreground",
"text": "Tag foreground"
},
"$:/language/Docs/PaletteColours/tiddler-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-background",
"text": "Tiddler background"
},
"$:/language/Docs/PaletteColours/tiddler-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-border",
"text": "Tiddler border"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
"text": "Tiddler controls foreground hover"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
"text": "Tiddler controls foreground for selected controls"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
"text": "Tiddler controls foreground"
},
"$:/language/Docs/PaletteColours/tiddler-editor-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
"text": "Tiddler editor background"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
"text": "Tiddler editor border image"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
"text": "Tiddler editor border"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
"text": "Tiddler editor background for even fields"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
"text": "Tiddler editor background for odd fields"
},
"$:/language/Docs/PaletteColours/tiddler-info-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-background",
"text": "Tiddler info panel background"
},
"$:/language/Docs/PaletteColours/tiddler-info-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-border",
"text": "Tiddler info panel border"
},
"$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
"text": "Tiddler info panel tab background"
},
"$:/language/Docs/PaletteColours/tiddler-link-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-background",
"text": "Tiddler link background"
},
"$:/language/Docs/PaletteColours/tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
"text": "Tiddler link foreground"
},
"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
"text": "Tiddler subtitle foreground"
},
"$:/language/Docs/PaletteColours/tiddler-title-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
"text": "Tiddler title foreground"
},
"$:/language/Docs/PaletteColours/toolbar-new-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-new-button",
"text": "Toolbar 'new tiddler' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-options-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-options-button",
"text": "Toolbar 'options' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-save-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-save-button",
"text": "Toolbar 'save' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-info-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-info-button",
"text": "Toolbar 'info' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-edit-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
"text": "Toolbar 'edit' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-close-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-close-button",
"text": "Toolbar 'close' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-delete-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
"text": "Toolbar 'delete' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-cancel-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
"text": "Toolbar 'cancel' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-done-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-done-button",
"text": "Toolbar 'done' button foreground"
},
"$:/language/Docs/PaletteColours/untagged-background": {
"title": "$:/language/Docs/PaletteColours/untagged-background",
"text": "Untagged pill background"
},
"$:/language/Docs/PaletteColours/very-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/very-muted-foreground",
"text": "Very muted foreground"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Type the text for this tiddler"
},
"$:/language/EditTemplate/Body/Preview/Type/Output": {
"title": "$:/language/EditTemplate/Body/Preview/Type/Output",
"text": "output"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "remove field"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Remove field"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "field name"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Add a new field:"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "field value"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "System fields"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "User fields"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "tag name"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "tag list"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Show tag list"
},
"$:/language/EditTemplate/Title/BadCharacterWarning": {
"title": "$:/language/EditTemplate/Title/BadCharacterWarning",
"text": "Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"
},
"$:/language/EditTemplate/Title/Exists/Prompt": {
"title": "$:/language/EditTemplate/Title/Exists/Prompt",
"text": "Target tiddler already exists"
},
"$:/language/EditTemplate/Title/Relink/Prompt": {
"title": "$:/language/EditTemplate/Title/Relink/Prompt",
"text": "Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "content type list"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Show content type list"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "delete content type"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Delete content type"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "content type"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Type:"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Static HTML"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "JSON file"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "CSV file"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "\".tid\" file"
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "The full URI of an external image tiddler"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "The name of the bag from which a tiddler came"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "The text to be displayed on a tab or button"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "The CSS color value associated with a tiddler"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "The date a tiddler was created"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "The name of the person who created a tiddler"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "For a plugin, lists the dependent plugin titles"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "The descriptive text for a plugin, or a modal dialogue"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "For draft tiddlers, contains the proposed new title of the tiddler"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "The footer text for a wizard"
},
"$:/language/Docs/Fields/hack-to-give-us-something-to-compare-against": {
"title": "$:/language/Docs/Fields/hack-to-give-us-something-to-compare-against",
"text": "A temporary storage field used in [[$:/core/templates/static.content]]"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "The title of the tiddler containing the icon associated with a tiddler"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "If set to \"yes\" indicates that a tiddler should be saved as a JavaScript library"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "An ordered list of tiddler titles associated with a tiddler"
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "The date and time at which a tiddler was last modified"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "The tiddler title associated with the person who last modified a tiddler"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "The human readable name associated with a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "A numerical value indicating the priority of a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "The type of plugin in a plugin tiddler"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "The revision of the tiddler held at the server"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Date of a TiddlyWiki release"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "The source URL associated with a tiddler"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "The subtitle text for a wizard"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "A list of tags associated with a tiddler"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "The body text of a tiddler"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "The unique name of a tiddler"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "The content type of a tiddler"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Version information for a plugin"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "All tiddlers except system tiddlers"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Recently modified tiddlers, including system tiddlers"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Recently modified tiddlers"
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "All tags except system tags"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Missing tiddlers"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Draft tiddlers"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Orphan tiddlers"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "System tiddlers"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Shadow tiddlers"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Overridden shadow tiddlers"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "System tags"
},
"$:/language/Filters/StoryList": {
"title": "$:/language/Filters/StoryList",
"text": "Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Non wiki-text tiddlers"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is important to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
},
"$:/language/Help/build": {
"title": "$:/language/Help/build",
"description": "Automatically run configured commands",
"text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
},
"$:/language/Help/clearpassword": {
"title": "$:/language/Help/clearpassword",
"description": "Clear a password for subsequent crypto operations",
"text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
},
"$:/language/Help/default": {
"title": "$:/language/Help/default",
"text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
},
"$:/language/Help/editions": {
"title": "$:/language/Help/editions",
"description": "Lists the available editions of TiddlyWiki",
"text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
},
"$:/language/Help/fetch": {
"title": "$:/language/Help/fetch",
"description": "Fetch tiddlers from wiki by URL",
"text": "Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"
},
"$:/language/Help/help": {
"title": "$:/language/Help/help",
"description": "Display help for TiddlyWiki commands",
"text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
},
"$:/language/Help/import": {
"title": "$:/language/Help/import",
"description": "Import tiddlers from a file",
"text": "Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"
},
"$:/language/Help/init": {
"title": "$:/language/Help/init",
"description": "Initialise a new wiki folder",
"text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
},
"$:/language/Help/load": {
"title": "$:/language/Help/load",
"description": "Load tiddlers from a file",
"text": "Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath>\n--load <dirpath>\n```\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
},
"$:/language/Help/makelibrary": {
"title": "$:/language/Help/makelibrary",
"description": "Construct library plugin required by upgrade process",
"text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
},
"$:/language/Help/notfound": {
"title": "$:/language/Help/notfound",
"text": "No such help item"
},
"$:/language/Help/output": {
"title": "$:/language/Help/output",
"description": "Set the base output directory for subsequent commands",
"text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
},
"$:/language/Help/password": {
"title": "$:/language/Help/password",
"description": "Set a password for subsequent crypto operations",
"text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
},
"$:/language/Help/render": {
"title": "$:/language/Help/render",
"description": "Renders individual tiddlers to files",
"text": "Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [<name>] [<value>]\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''template'': Optional template through which each tiddler is rendered\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''name'': Name of optional variable\n* ''value'': Value of optional variable\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render \"[!is[system]]\" \"[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]\"` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n\n"
},
"$:/language/Help/rendertiddler": {
"title": "$:/language/Help/rendertiddler",
"description": "Render an individual tiddler as a specified ContentType",
"text": "(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"
},
"$:/language/Help/rendertiddlers": {
"title": "$:/language/Help/rendertiddlers",
"description": "Render tiddlers matching a filter to a specified ContentType",
"text": "(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers <filter> <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers [!is[system]] $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
},
"$:/language/Help/save": {
"title": "$:/language/Help/save",
"description": "Saves individual raw tiddlers to files",
"text": "Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"
},
"$:/language/Help/savetiddler": {
"title": "$:/language/Help/savetiddler",
"description": "Saves a raw tiddler to a file",
"text": "(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
},
"$:/language/Help/savetiddlers": {
"title": "$:/language/Help/savetiddlers",
"description": "Saves a group of raw tiddlers to a directory",
"text": "(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
},
"$:/language/Help/server": {
"title": "$:/language/Help/server",
"description": "Provides an HTTP server interface to TiddlyWiki",
"text": "The server built in to TiddlyWiki5 is very simple. Although compatible with TiddlyWeb it doesn't support many of the features needed for robust Internet-facing usage.\n\nAt the root, it serves a rendering of a specified tiddler. Away from the root, it serves individual tiddlers encoded in JSON, and supports the basic HTTP operations for `GET`, `PUT` and `DELETE`.\n\n```\n--server <port> <roottiddler> <rendertype> <servetype> <username> <password> <host> <pathprefix>\n```\n\nThe parameters are:\n\n* ''port'' - port number to serve from (defaults to \"8080\")\n* ''roottiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''rendertype'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''servetype'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''pathprefix'' - optional prefix for paths\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation isn't suitable for general use.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password:\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port.\n"
},
"$:/language/Help/setfield": {
"title": "$:/language/Help/setfield",
"description": "Prepares external tiddlers for use",
"text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
},
"$:/language/Help/unpackplugin": {
"title": "$:/language/Help/unpackplugin",
"description": "Unpack the payload tiddlers from a plugin",
"text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
},
"$:/language/Help/verbose": {
"title": "$:/language/Help/verbose",
"description": "Triggers verbose output mode",
"text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
},
"$:/language/Help/version": {
"title": "$:/language/Help/version",
"description": "Displays the version number of TiddlyWiki",
"text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
},
"$:/language/Import/Imported/Hint": {
"title": "$:/language/Import/Imported/Hint",
"text": "The following tiddlers were imported:"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Cancel"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "These tiddlers are ready to import:"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Import"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Select"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Status"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Title"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Blocked incompatible or obsolete plugin"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Blocked plugin (due to incoming <<incoming>> being older than existing <<existing>>)"
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Upgraded plugin from <<incoming>> to <<upgraded>>"
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Blocked temporary state tiddler"
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Blocked system tiddler"
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Migrated theme tweak from <$text text=<<from>>/>"
},
"$:/language/AboveStory/ClassicPlugin/Warning": {
"title": "$:/language/AboveStory/ClassicPlugin/Warning",
"text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "This tiddler contains binary data"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "upgrade"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "close all"
},
"$:/language/ColourPicker/Recent": {
"title": "$:/language/ColourPicker/Recent",
"text": "Recent:"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
},
"$:/language/Count": {
"title": "$:/language/Count",
"text": "count"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "New Tiddler"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Drop here (or use the 'Escape' key to cancel)"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Cancel"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Set a new password for this TiddlyWiki"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Username"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Password"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Repeat password"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Passwords do not match"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Set password"
},
"$:/language/Error/Caption": {
"title": "$:/language/Error/Caption",
"text": "Error"
},
"$:/language/Error/EditConflict": {
"title": "$:/language/Error/EditConflict",
"text": "File changed on server"
},
"$:/language/Error/Filter": {
"title": "$:/language/Error/Filter",
"text": "Filter error"
},
"$:/language/Error/FilterSyntax": {
"title": "$:/language/Error/FilterSyntax",
"text": "Syntax error in filter expression"
},
"$:/language/Error/IsFilterOperator": {
"title": "$:/language/Error/IsFilterOperator",
"text": "Filter Error: Unknown operand for the 'is' filter operator"
},
"$:/language/Error/LoadingPluginLibrary": {
"title": "$:/language/Error/LoadingPluginLibrary",
"text": "Error loading plugin library"
},
"$:/language/Error/RecursiveTransclusion": {
"title": "$:/language/Error/RecursiveTransclusion",
"text": "Recursive transclusion error in transclude widget"
},
"$:/language/Error/RetrievingSkinny": {
"title": "$:/language/Error/RetrievingSkinny",
"text": "Error retrieving skinny tiddler list"
},
"$:/language/Error/SavingToTWEdit": {
"title": "$:/language/Error/SavingToTWEdit",
"text": "Error saving to TWEdit"
},
"$:/language/Error/WhileSaving": {
"title": "$:/language/Error/WhileSaving",
"text": "Error while saving"
},
"$:/language/Error/XMLHttpRequest": {
"title": "$:/language/Error/XMLHttpRequest",
"text": "XMLHttpRequest error code"
},
"$:/language/InternalJavaScriptError/Title": {
"title": "$:/language/InternalJavaScriptError/Title",
"text": "Internal JavaScript Error"
},
"$:/language/InternalJavaScriptError/Hint": {
"title": "$:/language/InternalJavaScriptError/Hint",
"text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
},
"$:/language/LazyLoadingWarning": {
"title": "$:/language/LazyLoadingWarning",
"text": "<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"
},
"$:/language/LoginToTiddlySpace": {
"title": "$:/language/LoginToTiddlySpace",
"text": "Login to TiddlySpace"
},
"$:/language/Manager/Controls/FilterByTag/None": {
"title": "$:/language/Manager/Controls/FilterByTag/None",
"text": "(none)"
},
"$:/language/Manager/Controls/FilterByTag/Prompt": {
"title": "$:/language/Manager/Controls/FilterByTag/Prompt",
"text": "Filter by tag:"
},
"$:/language/Manager/Controls/Order/Prompt": {
"title": "$:/language/Manager/Controls/Order/Prompt",
"text": "Reverse order"
},
"$:/language/Manager/Controls/Search/Placeholder": {
"title": "$:/language/Manager/Controls/Search/Placeholder",
"text": "Search"
},
"$:/language/Manager/Controls/Search/Prompt": {
"title": "$:/language/Manager/Controls/Search/Prompt",
"text": "Search:"
},
"$:/language/Manager/Controls/Show/Option/Tags": {
"title": "$:/language/Manager/Controls/Show/Option/Tags",
"text": "tags"
},
"$:/language/Manager/Controls/Show/Option/Tiddlers": {
"title": "$:/language/Manager/Controls/Show/Option/Tiddlers",
"text": "tiddlers"
},
"$:/language/Manager/Controls/Show/Prompt": {
"title": "$:/language/Manager/Controls/Show/Prompt",
"text": "Show:"
},
"$:/language/Manager/Controls/Sort/Prompt": {
"title": "$:/language/Manager/Controls/Sort/Prompt",
"text": "Sort by:"
},
"$:/language/Manager/Item/Colour": {
"title": "$:/language/Manager/Item/Colour",
"text": "Colour"
},
"$:/language/Manager/Item/Fields": {
"title": "$:/language/Manager/Item/Fields",
"text": "Fields"
},
"$:/language/Manager/Item/Icon/None": {
"title": "$:/language/Manager/Item/Icon/None",
"text": "(none)"
},
"$:/language/Manager/Item/Icon": {
"title": "$:/language/Manager/Item/Icon",
"text": "Icon"
},
"$:/language/Manager/Item/RawText": {
"title": "$:/language/Manager/Item/RawText",
"text": "Raw text"
},
"$:/language/Manager/Item/Tags": {
"title": "$:/language/Manager/Item/Tags",
"text": "Tags"
},
"$:/language/Manager/Item/Tools": {
"title": "$:/language/Manager/Item/Tools",
"text": "Tools"
},
"$:/language/Manager/Item/WikifiedText": {
"title": "$:/language/Manager/Item/WikifiedText",
"text": "Wikified text"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"
},
"$:/language/No": {
"title": "$:/language/No",
"text": "No"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Official ~TiddlyWiki Plugin Library"
},
"$:/language/OfficialPluginLibrary/Hint": {
"title": "$:/language/OfficialPluginLibrary/Hint",
"text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to plugins to take effect"
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DDth MMM YYYY"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "This is a system tiddler"
},
"$:/language/SystemTiddlers/Include/Prompt": {
"title": "$:/language/SystemTiddlers/Include/Prompt",
"text": "Include system tiddlers"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Colour"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Count"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Icon"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Info"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Tag"
},
"$:/language/Tiddler/DateFormat": {
"title": "$:/language/Tiddler/DateFormat",
"text": "DDth MMM YYYY at hh12:0mmam"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "You have unsaved changes in TiddlyWiki"
},
"$:/language/Yes": {
"title": "$:/language/Yes",
"text": "Yes"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"subtitle": "Download changes",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"subtitle": "Save your work",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/SavingChanges.html",
"text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DDth MMM YYYY"
},
"$:/config/NewJournal/Text": {
"title": "$:/config/NewJournal/Text",
"text": ""
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"text": "Journal"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Saved wiki"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Starting to save wiki"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "List"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Filter"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches/All": {
"title": "$:/language/Search/Matches/All",
"text": "All matches:"
},
"$:/language/Search/Matches/Title": {
"title": "$:/language/Search/Matches/Title",
"text": "Title matches:"
},
"$:/language/Search/Search": {
"title": "$:/language/Search/Search",
"text": "Search"
},
"$:/language/Search/Search/TooShort": {
"title": "$:/language/Search/Search/TooShort",
"text": "Search text too short"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Shadows"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Search for shadow tiddlers"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Standard"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Search for standard tiddlers"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "System"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Search for system tiddlers"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "All"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Contents"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Drafts"
},
"$:/language/SideBar/Explorer/Caption": {
"title": "$:/language/SideBar/Explorer/Caption",
"text": "Explorer"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Missing"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "More"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Open"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Orphans"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Recent"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Shadows"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "System"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Tags"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "untagged"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Tools"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Types"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "a non-linear personal web notebook"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "My ~TiddlyWiki"
},
"$:/language/Snippets/ListByTag": {
"title": "$:/language/Snippets/ListByTag",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "List of tiddlers by tag",
"text": "<<list-links \"[tag[task]sort[title]]\">>\n"
},
"$:/language/Snippets/MacroDefinition": {
"title": "$:/language/Snippets/MacroDefinition",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Macro definition",
"text": "\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"
},
"$:/language/Snippets/Table4x3": {
"title": "$:/language/Snippets/Table4x3",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table with 4 columns by 3 rows",
"text": "|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"
},
"$:/language/Snippets/TableOfContents": {
"title": "$:/language/Snippets/TableOfContents",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table of Contents",
"text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
},
"$:/language/ThemeTweaks/ThemeTweaks": {
"title": "$:/language/ThemeTweaks/ThemeTweaks",
"text": "Theme Tweaks"
},
"$:/language/ThemeTweaks/ThemeTweaks/Hint": {
"title": "$:/language/ThemeTweaks/ThemeTweaks/Hint",
"text": "You can tweak certain aspects of the ''Vanilla'' theme."
},
"$:/language/ThemeTweaks/Options": {
"title": "$:/language/ThemeTweaks/Options",
"text": "Options"
},
"$:/language/ThemeTweaks/Options/SidebarLayout": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout",
"text": "Sidebar layout"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid",
"text": "Fixed story, fluid sidebar"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed",
"text": "Fluid story, fixed sidebar"
},
"$:/language/ThemeTweaks/Options/StickyTitles": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles",
"text": "Sticky titles"
},
"$:/language/ThemeTweaks/Options/StickyTitles/Hint": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles/Hint",
"text": "Causes tiddler titles to \"stick\" to the top of the browser window. Caution: Does not work at all with Chrome, and causes some layout issues in Firefox"
},
"$:/language/ThemeTweaks/Options/CodeWrapping": {
"title": "$:/language/ThemeTweaks/Options/CodeWrapping",
"text": "Wrap long lines in code blocks"
},
"$:/language/ThemeTweaks/Settings": {
"title": "$:/language/ThemeTweaks/Settings",
"text": "Settings"
},
"$:/language/ThemeTweaks/Settings/FontFamily": {
"title": "$:/language/ThemeTweaks/Settings/FontFamily",
"text": "Font family"
},
"$:/language/ThemeTweaks/Settings/CodeFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/CodeFontFamily",
"text": "Code font family"
},
"$:/language/ThemeTweaks/Settings/EditorFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/EditorFontFamily",
"text": "Editor font family"
},
"$:/language/ThemeTweaks/Settings/BackgroundImage": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImage",
"text": "Page background image"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment",
"text": "Page background image attachment"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll",
"text": "Scroll with tiddlers"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed",
"text": "Fixed to window"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize",
"text": "Page background image size"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto",
"text": "Auto"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover",
"text": "Cover"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain",
"text": "Contain"
},
"$:/language/ThemeTweaks/Metrics": {
"title": "$:/language/ThemeTweaks/Metrics",
"text": "Sizes"
},
"$:/language/ThemeTweaks/Metrics/FontSize": {
"title": "$:/language/ThemeTweaks/Metrics/FontSize",
"text": "Font size"
},
"$:/language/ThemeTweaks/Metrics/LineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/LineHeight",
"text": "Line height"
},
"$:/language/ThemeTweaks/Metrics/BodyFontSize": {
"title": "$:/language/ThemeTweaks/Metrics/BodyFontSize",
"text": "Font size for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/BodyLineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/BodyLineHeight",
"text": "Line height for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft",
"text": "Story left position"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint",
"text": "how far the left margin of the story river<br>(tiddler area) is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryTop": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop",
"text": "Story top position"
},
"$:/language/ThemeTweaks/Metrics/StoryTop/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop/Hint",
"text": "how far the top margin of the story river<br>is from the top of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryRight": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight",
"text": "Story right"
},
"$:/language/ThemeTweaks/Metrics/StoryRight/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight/Hint",
"text": "how far the left margin of the sidebar <br>is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth",
"text": "Story width"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint",
"text": "the overall width of the story river"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth",
"text": "Tiddler width"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint",
"text": "within the story river"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint",
"text": "Sidebar breakpoint"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint",
"text": "the minimum page width at which the story<br>river and sidebar will appear side by side"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth",
"text": "Sidebar width"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint",
"text": "the width of the sidebar in fluid-fixed layout"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Advanced"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "none"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Plugin Details"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "This plugin contains the following shadow tiddlers:"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Shadow Status"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "It is overridden by an ordinary tiddler"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Fields"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "List"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "This tiddler does not have a list"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "Listed"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "This tiddler is not listed by any others"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "References"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "No tiddlers link to this one"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Tagging"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "No tiddlers are tagged with this one"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Tools"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "JavaScript code",
"name": "application/javascript",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "JSON data",
"name": "application/json",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Data dictionary",
"name": "application/x-tiddler-dictionary",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "GIF image",
"name": "image/gif",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "JPEG image",
"name": "image/jpeg",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "PNG image",
"name": "image/png",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "Structured Vector Graphics image",
"name": "image/svg+xml",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "ICO format icon file",
"name": "image/x-icon",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Static stylesheet",
"name": "text/css",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "HTML markup",
"name": "text/html",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Plain text",
"name": "text/plain",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/languages/en-GB/icon": {
"title": "$:/languages/en-GB/icon",
"type": "image/svg+xml",
"text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
},
"$:/languages/en-GB": {
"title": "$:/languages/en-GB",
"name": "en-GB",
"description": "English (British)",
"author": "JeremyRuston",
"core-version": ">=5.0.0\"",
"text": "Stub pseudo-plugin for the default language"
},
"$:/core/modules/commander.js": {
"title": "$:/core/modules/commander.js",
"text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/commands/build.js": {
"title": "$:/core/modules/commands/build.js",
"text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/clearpassword.js": {
"title": "$:/core/modules/commands/clearpassword.js",
"text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/editions.js": {
"title": "$:/core/modules/commands/editions.js",
"text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\" \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/fetch.js": {
"title": "$:/core/modules/commands/fetch.js",
"text": "/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = $tw.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t \tdata = [];\n\t self.commander.write(\"Reading \" + url + \": \");\n\t response.on(\"data\",function(chunk) {\n\t data.push(chunk);\n\t self.commander.write(\".\");\n\t });\n\t response.on(\"end\",function() {\n\t self.commander.write(\"\\n\");\n\t if(response.statusCode === 200) {\n\t\t self.processBody(Buffer.concat(data),type,options,url);\n\t\t callback(null);\n\t } else {\n\t \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t \t} else {\n\t\t \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\t \t\t\n\t \t}\n\t }\n\t \t});\n\t \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/help.js": {
"title": "$:/core/modules/commands/help.js",
"text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/import.js": {
"title": "$:/core/modules/commands/import.js",
"text": "/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/init.js": {
"title": "$:/core/modules/commands/init.js",
"text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/load.js": {
"title": "$:/core/modules/commands/load.js",
"text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count) {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/makelibrary.js": {
"title": "$:/core/modules/commands/makelibrary.js",
"text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = fs.readdirSync(folder);\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = fs.readdirSync(folder);\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcollectPublisherPlugins(path.resolve($tw.boot.corePath,$tw.config.pluginsPath));\n\tcollectPublisherPlugins(path.resolve($tw.boot.corePath,$tw.config.themesPath));\n\tcollectPlugins(path.resolve($tw.boot.corePath,$tw.config.languagesPath));\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers},null,$tw.config.preferences.jsonSpaces)\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/output.js": {
"title": "$:/core/modules/commands/output.js",
"text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/password.js": {
"title": "$:/core/modules/commands/password.js",
"text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/render.js": {
"title": "$:/core/modules/commands/render.js",
"text": "/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"render\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing tiddler filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvarName = this.params[4],\n\t\tvarValue = this.params[5],\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\tvariables = {currentTiddler: title};\n\t\tif(varName) {\n\t\t\tvariables[varName] = varValue || \"\";\n\t\t}\n\t\tvar widgetNode = wiki.makeWidget(parser,{variables: variables}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddler.js": {
"title": "$:/core/modules/commands/rendertiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddlers.js": {
"title": "$:/core/modules/commands/rendertiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/save.js": {
"title": "$:/core/modules/commands/save.js",
"text": "/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"save\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savelibrarytiddlers.js": {
"title": "$:/core/modules/commands/savelibrarytiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler,null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{text: undefined, readme: readmeContent, icon: iconContent}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddler.js": {
"title": "$:/core/modules/commands/savetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddlers.js": {
"title": "$:/core/modules/commands/savetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/server.js": {
"title": "$:/core/modules/commands/server.js",
"text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\thttp = require(\"http\");\n}\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\n/*\nA simple HTTP server with regexp-based routes\n*/\nfunction SimpleServer(options) {\n\tthis.routes = options.routes || [];\n\tthis.wiki = options.wiki;\n\tthis.variables = options.variables || {};\n}\n\nSimpleServer.prototype.set = function(obj) {\n\tvar self = this;\n\t$tw.utils.each(obj,function(value,name) {\n\t\tself.variables[name] = value;\n\t});\n};\n\nSimpleServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nSimpleServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nSimpleServer.prototype.findMatchingRoute = function(request,state) {\n\tvar pathprefix = this.get(\"pathprefix\") || \"\";\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(pathprefix) {\n\t\t\tif(pathname.substr(0,pathprefix.length) === pathprefix) {\n\t\t\t\tpathname = pathname.substr(pathprefix.length);\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nSimpleServer.prototype.checkCredentials = function(request,incomingUsername,incomingPassword) {\n\tvar header = request.headers.authorization || \"\",\n\t\ttoken = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tusername = parts[0],\n\t\tpassword = parts[1];\n\tif(incomingUsername === username && incomingPassword === password) {\n\t\treturn \"ALLOWED\";\n\t} else {\n\t\treturn \"DENIED\";\n\t}\n};\n\nSimpleServer.prototype.requestHandler = function(request,response) {\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = self.wiki;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Check for the username and password if we've got one\n\tvar username = self.get(\"username\"),\n\t\tpassword = self.get(\"password\");\n\tif(username && password) {\n\t\t// Check they match\n\t\tif(self.checkCredentials(request,username,password) !== \"ALLOWED\") {\n\t\t\tvar servername = state.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\";\n\t\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + servername + '\"'\n\t\t\t});\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Set the encoding for the incoming request\n\t// TODO: Presumably this would need tweaking if we supported PUTting binary tiddlers\n\trequest.setEncoding(\"utf8\");\n\t// Dispatch the appropriate method\n\tswitch(request.method) {\n\t\tcase \"GET\": // Intentional fall-through\n\t\tcase \"DELETE\":\n\t\t\troute.handler(request,response,state);\n\t\t\tbreak;\n\t\tcase \"PUT\":\n\t\t\tvar data = \"\";\n\t\t\trequest.on(\"data\",function(chunk) {\n\t\t\t\tdata += chunk.toString();\n\t\t\t});\n\t\t\trequest.on(\"end\",function() {\n\t\t\t\tstate.data = data;\n\t\t\t\troute.handler(request,response,state);\n\t\t\t});\n\t\t\tbreak;\n\t}\n};\n\t\nSimpleServer.prototype.listen = function(port,host) {\n\thttp.createServer(this.requestHandler.bind(this)).listen(port,host);\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n\t// Set up server\n\tthis.server = new SimpleServer({\n\t\twiki: this.commander.wiki\n\t});\n\t// Add route handlers\n\tthis.server.addRoute({\n\t\tmethod: \"PUT\",\n\t\tpath: /^\\/recipes\\/default\\/tiddlers\\/(.+)$/,\n\t\thandler: function(request,response,state) {\n\t\t\tvar title = decodeURIComponent(state.params[0]),\n\t\t\t\tfields = JSON.parse(state.data);\n\t\t\t// Pull up any subfields in the `fields` object\n\t\t\tif(fields.fields) {\n\t\t\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\t\t\tfields[name] = field;\n\t\t\t\t});\n\t\t\t\tdelete fields.fields;\n\t\t\t}\n\t\t\t// Remove any revision field\n\t\t\tif(fields.revision) {\n\t\t\t\tdelete fields.revision;\n\t\t\t}\n\t\t\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\t\t\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\t\t\tresponse.writeHead(204, \"OK\",{\n\t\t\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\t\t\"Content-Type\": \"text/plain\"\n\t\t\t});\n\t\t\tresponse.end();\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"DELETE\",\n\t\tpath: /^\\/bags\\/default\\/tiddlers\\/(.+)$/,\n\t\thandler: function(request,response,state) {\n\t\t\tvar title = decodeURIComponent(state.params[0]);\n\t\t\tstate.wiki.deleteTiddler(title);\n\t\t\tresponse.writeHead(204, \"OK\", {\n\t\t\t\t\"Content-Type\": \"text/plain\"\n\t\t\t});\n\t\t\tresponse.end();\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": state.server.get(\"serveType\")});\n\t\t\tvar text = state.wiki.renderTiddler(state.server.get(\"renderType\"),state.server.get(\"rootTiddler\"));\n\t\t\tresponse.end(text,\"utf8\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/status$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\t\tvar text = JSON.stringify({\n\t\t\t\tusername: state.server.get(\"username\"),\n\t\t\t\tspace: {\n\t\t\t\t\trecipe: \"default\"\n\t\t\t\t},\n\t\t\t\ttiddlywiki_version: $tw.version\n\t\t\t});\n\t\t\tresponse.end(text,\"utf8\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/favicon.ico$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\t\t\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\t\t\tresponse.end(buffer,\"base64\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/recipes\\/default\\/tiddlers.json$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\t\tvar tiddlers = [];\n\t\t\tstate.wiki.forEachTiddler({sortField: \"title\"},function(title,tiddler) {\n\t\t\t\tvar tiddlerFields = {};\n\t\t\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\t\t\tif(name !== \"text\") {\n\t\t\t\t\t\ttiddlerFields[name] = tiddler.getFieldString(name);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\ttiddlers.push(tiddlerFields);\n\t\t\t});\n\t\t\tvar text = JSON.stringify(tiddlers);\n\t\t\tresponse.end(text,\"utf8\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/recipes\\/default\\/tiddlers\\/(.+)$/,\n\t\thandler: function(request,response,state) {\n\t\t\tvar title = decodeURIComponent(state.params[0]),\n\t\t\t\ttiddler = state.wiki.getTiddler(title),\n\t\t\t\ttiddlerFields = {},\n\t\t\t\tknownFields = [\n\t\t\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t\t\t];\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\t\t\ttiddlerFields[name] = value;\n\t\t\t\t\t} else {\n\t\t\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\t\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t\t\t} else {\n\t\t\t\tresponse.writeHead(404);\n\t\t\t\tresponse.end();\n\t\t\t}\n\t\t}\n\t});\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\tvar port = this.params[0] || \"8080\",\n\t\trootTiddler = this.params[1] || \"$:/core/save/all\",\n\t\trenderType = this.params[2] || \"text/plain\",\n\t\tserveType = this.params[3] || \"text/html\",\n\t\tusername = this.params[4],\n\t\tpassword = this.params[5],\n\t\thost = this.params[6] || \"127.0.0.1\",\n\t\tpathprefix = this.params[7];\n\tthis.server.set({\n\t\trootTiddler: rootTiddler,\n\t\trenderType: renderType,\n\t\tserveType: serveType,\n\t\tusername: username,\n\t\tpassword: password,\n\t\tpathprefix: pathprefix\n\t});\n\tthis.server.listen(port,host);\n\t$tw.utils.log(\"Serving on \" + host + \":\" + port,\"brown/orange\");\n\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t// Warn if required plugins are missing\n\tif(!$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/setfield.js": {
"title": "$:/core/modules/commands/setfield.js",
"text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/unpackplugin.js": {
"title": "$:/core/modules/commands/unpackplugin.js",
"text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/verbose.js": {
"title": "$:/core/modules/commands/verbose.js",
"text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n \" + $tw.boot.logMessages.join(\"\\n \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/version.js": {
"title": "$:/core/modules/commands/version.js",
"text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/config.js": {
"title": "$:/core/modules/config.js",
"text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter: \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
"type": "application/javascript",
"module-type": "config"
},
"$:/core/modules/deserializers.js": {
"title": "$:/core/modules/deserializers.js",
"text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming,\n\t\tresults = [];\n\ttry {\n\t\tincoming = JSON.parse(text);\n\t} catch(e) {\n\t\tincoming = [{\n\t\t\ttitle: \"JSON error: \" + e,\n\t\t\ttext: \"\"\n\t\t}]\n\t}\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlerdeserializer"
},
"$:/core/modules/editor/engines/framed.js": {
"title": "$:/core/modules/editor/engines/framed.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/engines/simple.js": {
"title": "$:/core/modules/editor/engines/simple.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/factory.js": {
"title": "$:/core/modules/editor/factory.js",
"text": "/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag);\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup || changedAttributes.rows || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE]) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\t\t\t\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\t\t\t\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(\"keydown\", true, true);\n\t\t}\n\t\tnewEvent.keyCode = event.keyCode;\n\t\tnewEvent.which = event.which;\n\t\tnewEvent.metaKey = event.metaKey;\n\t\tnewEvent.ctrlKey = event.ctrlKey;\n\t\tnewEvent.altKey = event.altKey;\n\t\tnewEvent.shiftKey = event.shiftKey;\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\treturn EditTextWidget;\n\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/operations/bitmap/clear.js": {
"title": "$:/core/modules/editor/operations/bitmap/clear.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/resize.js": {
"title": "$:/core/modules/editor/operations/bitmap/resize.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/text/excise.js": {
"title": "$:/core/modules/editor/operations/text/excise.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ? [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/make-link.js": {
"title": "$:/core/modules/editor/operations/text/make-link.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/prefix-lines.js": {
"title": "$:/core/modules/editor/operations/text/prefix-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,event.paramObject.count);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile(line.charAt(0) === event.paramObject.character) {\n\t\t\tline = line.substring(1);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== event.paramObject.count) {\n\t\t\t// Apply the prefix\n\t\t\tline = prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-all.js": {
"title": "$:/core/modules/editor/operations/text/replace-all.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-selection.js": {
"title": "$:/core/modules/editor/operations/text/replace-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-lines.js": {
"title": "$:/core/modules/editor/operations/text/wrap-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Add the prefix and suffix\n\toperation.replacement = event.paramObject.prefix + \"\\n\" +\n\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\tevent.paramObject.suffix + \"\\n\";\n\toperation.newSelStart = operation.cutStart + event.paramObject.prefix.length + 1;\n\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-selection.js": {
"title": "$:/core/modules/editor/operations/text/wrap-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix unless they comprise the entire text\n\t\t\tif(operation.selStart > event.paramObject.prefix.length || (operation.selEnd + event.paramObject.suffix.length) < operation.text.length ) {\n\t\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\t\toperation.replacement = \"\";\n\t\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t\t}\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/filters/addprefix.js": {
"title": "$:/core/modules/filters/addprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/addsuffix.js": {
"title": "$:/core/modules/filters/addsuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/after.js": {
"title": "$:/core/modules/filters/after.js",
"text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/all/current.js": {
"title": "$:/core/modules/filters/all/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/missing.js": {
"title": "$:/core/modules/filters/all/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/orphans.js": {
"title": "$:/core/modules/filters/all/orphans.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/shadows.js": {
"title": "$:/core/modules/filters/all/shadows.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tags.js": {
"title": "$:/core/modules/filters/all/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tiddlers.js": {
"title": "$:/core/modules/filters/all/tiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all.js": {
"title": "$:/core/modules/filters/all.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/backlinks.js": {
"title": "$:/core/modules/filters/backlinks.js",
"text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/before.js": {
"title": "$:/core/modules/filters/before.js",
"text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/commands.js": {
"title": "$:/core/modules/filters/commands.js",
"text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/count.js": {
"title": "$:/core/modules/filters/count.js",
"text": "/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/days.js": {
"title": "$:/core/modules/filters/days.js",
"text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/each.js": {
"title": "$:/core/modules/filters/each.js",
"text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\t\tvalue,values = {},\n\t\tfield = operator.operand || \"title\";\n\tif(operator.suffix !== \"list-item\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvalue = (field === \"title\") ? title : tiddler.getFieldString(field);\n\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/eachday.js": {
"title": "$:/core/modules/filters/eachday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editiondescription.js": {
"title": "$:/core/modules/filters/editiondescription.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editions.js": {
"title": "$:/core/modules/filters/editions.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\tresults.push(name);\n\t\t});\n\t}\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/decodeuricomponent.js": {
"title": "$:/core/modules/filters/decodeuricomponent.js",
"text": "/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(decodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(decodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/enlist.js": {
"title": "$:/core/modules/filters/enlist.js",
"text": "/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar list = $tw.utils.parseStringArray(operator.operand);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/field.js": {
"title": "$:/core/modules/filters/field.js",
"text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/fields.js": {
"title": "$:/core/modules/filters/fields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/get.js": {
"title": "$:/core/modules/filters/get.js",
"text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getindex.js": {
"title": "$:/core/modules/filters/getindex.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/has.js": {
"title": "$:/core/modules/filters/has.js",
"text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand] === \"\")) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && !(tiddler.fields[operator.operand] === \"\" || tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/haschanged.js": {
"title": "$:/core/modules/filters/haschanged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/indexes.js": {
"title": "$:/core/modules/filters/indexes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/insertbefore.js": {
"title": "$:/core/modules/filters/insertbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\");\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tresults.push(operator.operand);\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/is/current.js": {
"title": "$:/core/modules/filters/is/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/image.js": {
"title": "$:/core/modules/filters/is/image.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/missing.js": {
"title": "$:/core/modules/filters/is/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/orphan.js": {
"title": "$:/core/modules/filters/is/orphan.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/shadow.js": {
"title": "$:/core/modules/filters/is/shadow.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/system.js": {
"title": "$:/core/modules/filters/is/system.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tag.js": {
"title": "$:/core/modules/filters/is/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tiddler.js": {
"title": "$:/core/modules/filters/is/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is.js": {
"title": "$:/core/modules/filters/is.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/limit.js": {
"title": "$:/core/modules/filters/limit.js",
"text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/links.js": {
"title": "$:/core/modules/filters/links.js",
"text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/list.js": {
"title": "$:/core/modules/filters/list.js",
"text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listed.js": {
"title": "$:/core/modules/filters/listed.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listops.js": {
"title": "$:/core/modules/filters/listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\t\t\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/lookup.js": {
"title": "$:/core/modules/filters/lookup.js",
"text": "/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<field>[<prefix>]]\n\nPrepends the prefix to the selected items and returns the specified field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.getTiddlerText(operator.operand + title) || options.wiki.getTiddlerText(operator.operand + operator.suffix));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/minlength.js": {
"title": "$:/core/modules/filters/minlength.js",
"text": "/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/modules.js": {
"title": "$:/core/modules/filters/modules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/moduletypes.js": {
"title": "$:/core/modules/filters/moduletypes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/next.js": {
"title": "$:/core/modules/filters/next.js",
"text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/plugintiddlers.js": {
"title": "$:/core/modules/filters/plugintiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/prefix.js": {
"title": "$:/core/modules/filters/prefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/previous.js": {
"title": "$:/core/modules/filters/previous.js",
"text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/regexp.js": {
"title": "$:/core/modules/filters/regexp.js",
"text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removeprefix.js": {
"title": "$:/core/modules/filters/removeprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removesuffix.js": {
"title": "$:/core/modules/filters/removesuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sameday.js": {
"title": "$:/core/modules/filters/sameday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/search.js": {
"title": "$:/core/modules/filters/search.js",
"text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffix) {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: operator.suffix\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/shadowsource.js": {
"title": "$:/core/modules/filters/shadowsource.js",
"text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sort.js": {
"title": "$:/core/modules/filters/sort.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/splitbefore.js": {
"title": "$:/core/modules/filters/splitbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/storyviews.js": {
"title": "$:/core/modules/filters/storyviews.js",
"text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/suffix.js": {
"title": "$:/core/modules/filters/suffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tag.js": {
"title": "$:/core/modules/filters/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [];\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !tiddler.hasTag(operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && tiddler.hasTag(operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t}\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tagging.js": {
"title": "$:/core/modules/filters/tagging.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tags.js": {
"title": "$:/core/modules/filters/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/title.js": {
"title": "$:/core/modules/filters/title.js",
"text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/untagged.js": {
"title": "$:/core/modules/filters/untagged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/wikiparserrules.js": {
"title": "$:/core/modules/filters/wikiparserrules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/x-listops.js": {
"title": "$:/core/modules/filters/x-listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n /*jslint node: true, browser: true */\n /*global $tw: false */\n \"use strict\";\n\n /*\n Fetch titles from the current list\n */\n var prepare_results = function (source) {\n var results = [];\n source(function (tiddler, title) {\n results.push(title);\n });\n return results;\n };\n\n /*\n Moves a number of items from the tail of the current list before the item named in the operand\n */\n exports.putbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1;\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list after the item named in the operand\n */\n exports.putafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1;\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Replaces the item named in the operand with a number of items from the tail of the current list\n */\n exports.replace = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1;\n return (index === -1) ?\n results.slice(0, -count) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list to the head of the list\n */\n exports.putfirst = function (source, operator) {\n var results = prepare_results(source),\n count = parseInt(operator.suffix) || 1;\n return results.slice(-count).concat(results.slice(0, -count));\n };\n\n /*\n Moves a number of items from the head of the current list to the tail of the list\n */\n exports.putlast = function (source, operator) {\n var results = prepare_results(source),\n count = parseInt(operator.suffix) || 1;\n return results.slice(count).concat(results.slice(0, count));\n };\n\n /*\n Moves the item named in the operand a number of places forward or backward in the list\n */\n exports.move = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1,\n marker = results.splice(index, 1),\n offset = (index + count) > 0 ? index + count : 0;\n return results.slice(0, offset).concat(marker).concat(results.slice(offset));\n };\n\n /*\n Returns the items from the current list that are after the item named in the operand\n */\n exports.allafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1 || index > (results.length - 2)) ? [] :\n (operator.suffix) ? results.slice(index) :\n results.slice(index + 1);\n };\n\n /*\n Returns the items from the current list that are before the item named in the operand\n */\n exports.allbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index < 0) ? [] :\n (operator.suffix) ? results.slice(0, index + 1) :\n results.slice(0, index);\n };\n\n /*\n Appends the items listed in the operand array to the tail of the current list\n */\n exports.append = function (source, operator) {\n var append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || append.length;\n return (append.length === 0) ? results :\n (operator.prefix) ? results.concat(append.slice(-count)) :\n results.concat(append.slice(0, count));\n };\n\n /*\n Prepends the items listed in the operand array to the head of the current list\n */\n exports.prepend = function (source, operator) {\n var prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || prepend.length;\n return (prepend.length === 0) ? results :\n (operator.prefix) ? prepend.slice(-count).concat(results) :\n prepend.slice(0, count).concat(results);\n };\n\n /*\n Returns all items from the current list except the items listed in the operand array\n */\n exports.remove = function (source, operator) {\n var array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || array.length,\n p,\n len,\n index;\n len = array.length - 1;\n for (p = 0; p < count; ++p) {\n if (operator.prefix) {\n index = results.indexOf(array[len - p]);\n } else {\n index = results.indexOf(array[p]);\n }\n if (index !== -1) {\n results.splice(index, 1);\n }\n }\n return results;\n };\n\n /*\n Returns all items from the current list sorted in the order of the items in the operand array\n */\n exports.sortby = function (source, operator) {\n var results = prepare_results(source);\n if (!results || results.length < 2) {\n return results;\n }\n var lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n results.sort(function (a, b) {\n return lookup.indexOf(a) - lookup.indexOf(b);\n });\n return results;\n };\n\n /*\n Removes all duplicate items from the current list\n */\n exports.unique = function (source, operator) {\n var results = prepare_results(source);\n var set = results.reduce(function (a, b) {\n if (a.indexOf(b) < 0) {\n a.push(b);\n }\n return a;\n }, []);\n return set;\n };\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters.js": {
"title": "$:/core/modules/filters.js",
"text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\toperator.indirect = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\toperator.variable = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n// DEPRECATION WARNING\nconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t}\n\t\tif(!operator.regexp) {\n\t\t\toperator.operand = filterString.substring(p,nextBracketPos);\n\t\t}\n\t\tp = nextBracketPos + 1;\n\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[3] || match[4] || match[5]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operand: match[3] || match[4] || match[5]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operand = operator.operand,\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\tif(operator.indirect) {\n\t\t\t\t\toperand = self.getTextReference(operator.operand,\"\",currTiddlerTitle);\n\t\t\t\t}\n\t\t\t\tif(operator.variable) {\n\t\t\t\t\toperand = widget.getVariable(operator.operand,{defaultValue: \"\"});\n\t\t\t\t}\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operand,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.removeArrayEntries(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\t\t\t\t\tsource = self.makeTiddlerIterator(results);\n\t\t\t\t\t\tresults.splice(0,results.length);\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter\",function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = [];\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results;\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/info/platform.js": {
"title": "$:/core/modules/info/platform.js",
"text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function() {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\t// Document location\n\tif($tw.browser) {\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\t\t\t\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "info"
},
"$:/core/modules/keyboard.js": {
"title": "$:/core/modules/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\tlookupName(\"shortcuts\");\n\t\t\t\tlookupName($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\");\n\t\t\t\tlookupName($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\t\t\t\tlookupName($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/language.js": {
"title": "$:/core/modules/language.js",
"text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/macros/changecount.js": {
"title": "$:/core/modules/macros/changecount.js",
"text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/contrastcolour.js": {
"title": "$:/core/modules/macros/contrastcolour.js",
"text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/csvtiddlers.js": {
"title": "$:/core/modules/macros/csvtiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/displayshortcuts.js": {
"title": "$:/core/modules/macros/displayshortcuts.js",
"text": "/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/dumpvariables.js": {
"title": "$:/core/modules/macros/dumpvariables.js",
"text": "/*\\\ntitle: $:/core/modules/macros/dumpvariables.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to dump all active variable values\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"dumpvariables\";\n\nexports.params = [\n];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\tvar output = [\"|!Variable |!Value |\"],\n\t\tvariables = [], variable;\n\tfor(variable in this.variables) {\n\t\tvariables.push(variable);\n\t}\n\tvariables.sort();\n\tfor(var index=0; index<variables.length; index++) {\n\t\tvar variable = variables[index];\n\t\toutput.push(\"|\" + variable + \" |<input size=50 value=<<\" + variable + \">>/> |\")\n\t}\n\treturn output.join(\"\\n\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddler.js": {
"title": "$:/core/modules/macros/jsontiddler.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddlers.js": {
"title": "$:/core/modules/macros/jsontiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter) {\n\tvar tiddlers = this.wiki.filterTiddlers(filter),\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/makedatauri.js": {
"title": "$:/core/modules/macros/makedatauri.js",
"text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type) {\n\treturn $tw.utils.makeDataUri(text,type);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/now.js": {
"title": "$:/core/modules/macros/now.js",
"text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/qualify.js": {
"title": "$:/core/modules/macros/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/resolvepath.js": {
"title": "$:/core/modules/macros/resolvepath.js",
"text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/version.js": {
"title": "$:/core/modules/macros/version.js",
"text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/parsers/audioparser.js": {
"title": "$:/core/modules/parsers/audioparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/csvparser.js": {
"title": "$:/core/modules/parsers/csvparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/htmlparser.js": {
"title": "$:/core/modules/parsers/htmlparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/imageparser.js": {
"title": "$:/core/modules/parsers/imageparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/utils/parseutils.js": {
"title": "$:/core/modules/utils/parseutils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{(.+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/parsers/pdfparser.js": {
"title": "$:/core/modules/parsers/pdfparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"embed\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/textparser.js": {
"title": "$:/core/modules/parsers/textparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/videoparser.js": {
"title": "$:/core/modules/parsers/videoparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/dash.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"–\" : \"—\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/entity.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: ©\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/extlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/heading.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/html.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/html.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/image.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/image.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/list.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/list.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"p\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/rules.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/syslink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/table.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/table.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/whitespace.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/whitespace.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/wikiparser.js": {
"title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = false;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t// Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex));\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index));\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex));\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar keepFilter;\n\tif(type === \"only\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) !== -1;\n\t\t};\n\t} else if(type === \"except\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) === -1;\n\t\t};\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif(!keepFilter(ruleArray[t].rule.name)) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/pluginswitcher.js": {
"title": "$:/core/modules/pluginswitcher.js",
"text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/saver-handler.js": {
"title": "$:/core/modules/saver-handler.js",
"text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tthis.numChanges = 0;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\",\n\t\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\") {\n\t\treturn false;\n\t}\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/savers/andtidwiki.js": {
"title": "$:/core/modules/savers/andtidwiki.js",
"text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t// Strip the file://\n\tif(pathname.indexOf(\"file://\") === 0) {\n\t\tpathname = pathname.substr(7);\n\t}\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Save the file\n\twindow.twi.saveFile(pathname,text);\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/beaker.js": {
"title": "$:/core/modules/savers/beaker.js",
"text": "/*\\\ntitle: $:/core/modules/savers/beaker.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Beaker browser's (https://beakerbrowser.com) Dat protocol (https://datproject.org/)\nCompatible with beaker >= V0.7.2\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar BeakerSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nBeakerSaver.prototype.save = function(text,method,callback) {\n\tvar dat = new DatArchive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Beaker Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Beaker Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nBeakerSaver.prototype.info = {\n\tname: \"beaker\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.DatArchive;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new BeakerSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/download.js": {
"title": "$:/core/modules/savers/download.js",
"text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = decodeURIComponent(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/fsosaver.js": {
"title": "$:/core/modules/savers/fsosaver.js",
"text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/manualdownload.js": {
"title": "$:/core/modules/savers/manualdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/msdownload.js": {
"title": "$:/core/modules/savers/msdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/put.js": {
"title": "$:/core/modules/savers/put.js",
"text": "/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err, data, xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\t// Retrieve ETag if available\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"HEAD\",\n\t\tcallback: function(err, data, xhr) {\n\t\t\tif(!err) {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t}\n\t\t}\n\t});\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text, method, callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = { \"Content-Type\": \"text/html;charset=UTF-8\" };\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err, data, xhr) {\n\t\t\tif(err) {\n\t\t\t\tcallback(err);\n\t\t\t} if(xhr.status === 200 || xhr.status === 201) {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tcallback(null); // success\n\t\t\t} else if(xhr.status === 412) { // edit conflict\n\t\t\t\tvar message = $tw.language.getString(\"Error/EditConflict\");\n\t\t\t\tcallback(message);\n\t\t\t} else {\n\t\t\t\tcallback(xhr.responseText); // fail\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyfox.js": {
"title": "$:/core/modules/savers/tiddlyfox.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyie.js": {
"title": "$:/core/modules/savers/tiddlyie.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/twedit.js": {
"title": "$:/core/modules/savers/twedit.js",
"text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/upload.js": {
"title": "$:/core/modules/savers/upload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/browser-messaging.js": {
"title": "$:/core/modules/browser-messaging.js",
"text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\t$tw.utils.each(document.getElementsByTagName('iframe'), function(iframe) {\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t});\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\tconsole.log(\"browser-messaging: \",document.location.toString())\n\t\tconsole.log(\"browser-messaging: Received message from\",event.origin);\n\t\tconsole.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/commands.js": {
"title": "$:/core/modules/startup/commands.js",
"text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/favicon.js": {
"title": "$:/core/modules/startup/favicon.js",
"text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",\"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text);\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/info.js": {
"title": "$:/core/modules/startup/info.js",
"text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Collect up the info tiddlers\n\tvar infoTiddlerFields = {};\n\t// Give each info module a chance to fill in as many info tiddlers as they want\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tvar tiddlerFieldsArray = moduleExports.getInfoTiddlerFields(infoTiddlerFields);\n\t\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\t\tif(fields) {\n\t\t\t\t\tinfoTiddlerFields[fields.title] = fields;\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Bake the info tiddlers into a plugin\n\tvar fields = {\n\t\ttitle: \"$:/temp/info-plugin\",\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"info\",\n\t\ttext: JSON.stringify({tiddlers: infoTiddlerFields},null,$tw.config.preferences.jsonSpaces)\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\t$tw.wiki.readPluginInfo();\n\t$tw.wiki.registerPluginTiddlers(\"info\");\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/load-modules.js": {
"title": "$:/core/modules/startup/load-modules.js",
"text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/password.js": {
"title": "$:/core/modules/startup/password.js",
"text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/render.js": {
"title": "$:/core/modules/startup/render.js",
"text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/PageTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar DRAFT_TIDDLER_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n\t})();\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only drafts have changed\n\t\tvar onlyDraftsHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !tiddler.hasField(\"draft.of\")) {\n\t\t\t\tonlyDraftsHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyDraftsHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = DRAFT_TIDDLER_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/rootwidget.js": {
"title": "$:/core/modules/startup/rootwidget.js",
"text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the notification mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tif(document[fullscreen._fullscreenElement]) {\n\t\t\t\tdocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tdocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup.js": {
"title": "$:/core/modules/startup.js",
"text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.appVersion);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-US\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget = new widget.widget({\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},{\n\t\t\twiki: $tw.wiki,\n\t\t\tdocument: document\n\t\t});\n\t}\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t} \n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({wiki: $tw.wiki, dirtyTracking: !$tw.syncadaptor});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/story.js": {
"title": "$:/core/modules/startup/story.js",
"text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers();\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\t\t\t\t\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: \"permalink\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: \"permaview\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle\n\t\t\t});\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// If a target tiddler was specified add it to the history stack\n\tif(target && target !== \"\") {\n\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t}\n\t\t$tw.wiki.addToHistory(target);\n\t} else if(storyList.length > 0) {\n\t\t$tw.wiki.addToHistory(storyList[0]);\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\tif(options.updateAddressBar !== \"no\") {\n\t\t// Get the story and the history stack\n\t\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\t\ttargetTiddler = \"\";\n\t\tif(options.targetTiddler) {\n\t\t\ttargetTiddler = options.targetTiddler;\n\t\t} else {\n\t\t\t// The target tiddler is the one at the top of the stack\n\t\t\tif(historyList.length > 0) {\n\t\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t\t}\n\t\t\t// Blank the target tiddler if it isn't present in the story\n\t\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\t\ttargetTiddler = \"\";\n\t\t\t}\n\t\t}\n\t\t// Assemble the location hash\n\t\tif(options.updateAddressBar === \"permalink\") {\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t} else {\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t}\n\t\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\t\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\t\tif(options.updateHistory === \"yes\") {\n\t\t\t\t// Assign the location hash so that history is updated\n\t\t\t\twindow.location.hash = $tw.locationHash;\n\t\t\t} else {\n\t\t\t\t// We use replace so that browser history isn't affected\n\t\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t\t}\n\t\t}\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/windows.js": {
"title": "$:/core/modules/startup/windows.js",
"text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\nvar windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\twindows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = title;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each(windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/story.js": {
"title": "$:/core/modules/story.js",
"text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/storyviews/classic.js": {
"title": "$:/core/modules/storyviews/classic.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Get the current height of the tiddler\n\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"}\n\t\t]);\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Get the current height of the tiddler\n\tvar currWidth = targetElement.offsetWidth,\n\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t// Remove the dom nodes of the widget at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"translateX(0px)\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/pop.js": {
"title": "$:/core/modules/storyviews/pop.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/zoomin.js": {
"title": "$:/core/modules/storyviews/zoomin.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx = zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty = zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/syncer.js": {
"title": "$:/core/modules/syncer.js",
"text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store. If a syncadaptor is used then individual tiddlers are synchronised through it. If there is no syncadaptor then the entire wiki is saved via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || this.throttleInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\t\tcolour: \"cyan\",\n\t\t\tenable: this.logging\n\t\t});\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\t// Tasks are {type: \"load\"/\"save\"/\"delete\", title:, queueTime:, lastModificationTime:}\n\tthis.taskQueue = {}; // Hashmap of tasks yet to be performed\n\tthis.taskInProgress = {}; // Hash of tasks in progress\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.syncToServer(changes);\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function() {\n\t\t\tself.handleLoginEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI) {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.filterFn.call(this.wiki);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tself.tiddlerInfo[title] = {\n\t\t\trevision: tiddler.fields.revision,\n\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\tchangeCount: self.wiki.getChangeCount(title),\n\t\t\thasBeenLazyLoaded: false\n\t\t};\n\t});\n};\n\n/*\nCreate an tiddlerInfo structure if it doesn't already exist\n*/\nSyncer.prototype.createTiddlerInfo = function(title) {\n\tif(!$tw.utils.hop(this.tiddlerInfo,title)) {\n\t\tthis.tiddlerInfo[title] = {\n\t\t\trevision: null,\n\t\t\tadaptorInfo: {},\n\t\t\tchangeCount: -1,\n\t\t\thasBeenLazyLoaded: false\n\t\t};\n\t}\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\treturn (this.numTasksInQueue() > 0) || (this.numTasksInProgress() > 0);\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields,hasBeenLazyLoaded) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(this.wiki.getTiddler(tiddlerFields.title),tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: tiddlerFields.revision,\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title),\n\t\thasBeenLazyLoaded: hasBeenLazyLoaded !== undefined ? hasBeenLazyLoaded : true\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Set the various status tiddlers\n\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\tif(isLoggedIn) {\n\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t} else {\n\t\t\t\tself.wiki.deleteTiddler(self.titleUserName);\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tif(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tvar self = this;\n\t\tif(this.pollTimerId) {\n\t\t\tclearTimeout(this.pollTimerId);\n\t\t\tthis.pollTimerId = null;\n\t\t}\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\t// Trigger the next sync\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert($tw.language.getString(\"Error/RetrievingSkinny\") + \":\",err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null;\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Do a full load if we've already got a fat version of the tiddler\n\t\t\t\t\tif(tiddler && tiddler.fields.text !== undefined) {\n\t\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\t\tself.enqueueSyncTask({\n\t\t\t\t\t\t\ttype: \"load\",\n\t\t\t\t\t\t\ttitle: tiddlerFields.title\n\t\t\t\t\t\t});\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Load the skinny version of the tiddler\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields,false);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nSynchronise a set of changes to the server\n*/\nSyncer.prototype.syncToServer = function(changes) {\n\tvar self = this,\n\t\tnow = Date.now(),\n\t\tfilteredChanges = this.filterFn.call(this.wiki,function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t$tw.utils.each(changes,function(change,title,object) {\n\t\t// Process the change if it is a deletion of a tiddler we're already syncing, or is on the filtered change list\n\t\tif((change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) || filteredChanges.indexOf(title) !== -1) {\n\t\t\t// Queue a task to sync this tiddler\n\t\t\tself.enqueueSyncTask({\n\t\t\t\ttype: change.deleted ? \"delete\" : \"save\",\n\t\t\t\ttitle: title\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Don't lazy load the same tiddler twice\n\tvar info = this.tiddlerInfo[title];\n\tif(!info || !info.hasBeenLazyLoaded) {\n\t\tthis.createTiddlerInfo(title);\n\t\tthis.tiddlerInfo[title].hasBeenLazyLoaded = true;\n\t\t// Queue up a sync task to load this tiddler\n\t\tthis.enqueueSyncTask({\n\t\t\ttype: \"load\",\n\t\t\ttitle: title\n\t\t});\t\t\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!isLoggedIn) {\n\t\t\t$tw.passwordPrompt.createPrompt({\n\t\t\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\t\t\tcallback: function(data) {\n\t\t\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\t\t\tself.syncFromServer();\n\t\t\t\t\t});\n\t\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(null,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nQueue up a sync task. If there is already a pending task for the tiddler, just update the last modification time\n*/\nSyncer.prototype.enqueueSyncTask = function(task) {\n\tvar self = this,\n\t\tnow = Date.now();\n\t// Set the timestamps on this task\n\ttask.queueTime = now;\n\ttask.lastModificationTime = now;\n\t// Fill in some tiddlerInfo if the tiddler is one we haven't seen before\n\tthis.createTiddlerInfo(task.title);\n\t// Bail if this is a save and the tiddler is already at the changeCount that the server has\n\tif(task.type === \"save\" && this.wiki.getChangeCount(task.title) <= this.tiddlerInfo[task.title].changeCount) {\n\t\treturn;\n\t}\n\t// Check if this tiddler is already in the queue\n\tif($tw.utils.hop(this.taskQueue,task.title)) {\n\t\t// this.logger.log(\"Re-queueing up sync task with type:\",task.type,\"title:\",task.title);\n\t\tvar existingTask = this.taskQueue[task.title];\n\t\t// If so, just update the last modification time\n\t\texistingTask.lastModificationTime = task.lastModificationTime;\n\t\t// If the new task is a save then we upgrade the existing task to a save. Thus a pending load is turned into a save if the tiddler changes locally in the meantime. But a pending save is not modified to become a load\n\t\tif(task.type === \"save\" || task.type === \"delete\") {\n\t\t\texistingTask.type = task.type;\n\t\t}\n\t} else {\n\t\t// this.logger.log(\"Queuing up sync task with type:\",task.type,\"title:\",task.title);\n\t\t// If it is not in the queue, insert it\n\t\tthis.taskQueue[task.title] = task;\n\t\tthis.updateDirtyStatus();\n\t}\n\t// Process the queue\n\t$tw.utils.nextTick(function() {self.processTaskQueue.call(self);});\n};\n\n/*\nReturn the number of tasks in progress\n*/\nSyncer.prototype.numTasksInProgress = function() {\n\treturn $tw.utils.count(this.taskInProgress);\n};\n\n/*\nReturn the number of tasks in the queue\n*/\nSyncer.prototype.numTasksInQueue = function() {\n\treturn $tw.utils.count(this.taskQueue);\n};\n\n/*\nTrigger a timeout if one isn't already outstanding\n*/\nSyncer.prototype.triggerTimeout = function() {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},self.taskTimerInterval);\n\t}\n};\n\n/*\nProcess the task queue, performing the next task if appropriate\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress() === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(task) {\n\t\t\t// Remove the task from the queue and add it to the in progress list\n\t\t\tdelete this.taskQueue[task.title];\n\t\t\tthis.taskInProgress[task.title] = task;\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// Dispatch the task\n\t\t\tthis.dispatchTask(task,function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\tself.logger.alert(\"Sync error while processing '\" + task.title + \"':\\n\" + err);\n\t\t\t\t}\n\t\t\t\t// Mark that this task is no longer in progress\n\t\t\t\tdelete self.taskInProgress[task.title];\n\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t// Process the next task\n\t\t\t\tself.processTaskQueue.call(self);\n\t\t\t});\n\t\t} else {\n\t\t\t// Make sure we've set a time if there wasn't a task to perform, but we've still got tasks in the queue\n\t\t\tif(this.numTasksInQueue() > 0) {\n\t\t\t\tthis.triggerTimeout();\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nChoose the next applicable task\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar self = this,\n\t\tcandidateTask = null,\n\t\tnow = Date.now();\n\t// Select the best candidate task\n\t$tw.utils.each(this.taskQueue,function(task,title) {\n\t\t// Exclude the task if there's one of the same name in progress\n\t\tif($tw.utils.hop(self.taskInProgress,title)) {\n\t\t\treturn;\n\t\t}\n\t\t// Exclude the task if it is a save and the tiddler has been modified recently, but not hit the fallback time\n\t\tif(task.type === \"save\" && (now - task.lastModificationTime) < self.throttleInterval &&\n\t\t\t(now - task.queueTime) < self.fallbackInterval) {\n\t\t\treturn;\n\t\t}\n\t\t// Exclude the task if it is newer than the current best candidate\n\t\tif(candidateTask && candidateTask.queueTime < task.queueTime) {\n\t\t\treturn;\n\t\t}\n\t\t// Now this is our best candidate\n\t\tcandidateTask = task;\n\t});\n\treturn candidateTask;\n};\n\n/*\nDispatch a task and invoke the callback\n*/\nSyncer.prototype.dispatchTask = function(task,callback) {\n\tvar self = this;\n\tif(task.type === \"save\") {\n\t\tvar changeCount = this.wiki.getChangeCount(task.title),\n\t\t\ttiddler = this.wiki.getTiddler(task.title);\n\t\tthis.logger.log(\"Dispatching 'save' task:\",task.title);\n\t\tif(tiddler) {\n\t\t\tthis.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\t// Adjust the info stored about this tiddler\n\t\t\t\tself.tiddlerInfo[task.title] = {\n\t\t\t\t\tchangeCount: changeCount,\n\t\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\t\trevision: revision\n\t\t\t\t};\n\t\t\t\t// Invoke the callback\n\t\t\t\tcallback(null);\n\t\t\t},{\n\t\t\t\ttiddlerInfo: self.tiddlerInfo[task.title]\n\t\t\t});\n\t\t} else {\n\t\t\tthis.logger.log(\" Not Dispatching 'save' task:\",task.title,\"tiddler does not exist\");\n\t\t\treturn callback(null);\n\t\t}\n\t} else if(task.type === \"load\") {\n\t\t// Load the tiddler\n\t\tthis.logger.log(\"Dispatching 'load' task:\",task.title);\n\t\tthis.syncadaptor.loadTiddler(task.title,function(err,tiddlerFields) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Store the tiddler\n\t\t\tif(tiddlerFields) {\n\t\t\t\tself.storeTiddler(tiddlerFields,true);\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t});\n\t} else if(task.type === \"delete\") {\n\t\t// Delete the tiddler\n\t\tthis.logger.log(\"Dispatching 'delete' task:\",task.title);\n\t\tthis.syncadaptor.deleteTiddler(task.title,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tdelete self.tiddlerInfo[task.title];\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t},{\n\t\t\ttiddlerInfo: self.tiddlerInfo[task.title]\n\t\t});\n\t}\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/tiddler.js": {
"title": "$:/core/modules/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = [];\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields.push(field + \": \" + this.getFieldString(field));\n\t\t\t}\n\t\t}\n\t}\n\treturn fields.join(\"\\n\");\n};\n\n/*\nCompare two tiddlers for equality\ntiddler: the tiddler to compare\nexcludeFields: array of field names to exclude from the comparison\n*/\nexports.isEqual = function(tiddler,excludeFields) {\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\treturn false;\n\t}\n\texcludeFields = excludeFields || [];\n\tvar self = this,\n\t\tdifferences = []; // Fields that have differences\n\t// Add to the differences array\n\tfunction addDifference(fieldName) {\n\t\t// Check for this field being excluded\n\t\tif(excludeFields.indexOf(fieldName) === -1) {\n\t\t\t// Save the field as a difference\n\t\t\t$tw.utils.pushTop(differences,fieldName);\n\t\t}\n\t}\n\t// Returns true if the two values of this field are equal\n\tfunction isFieldValueEqual(fieldName) {\n\t\tvar valueA = self.fields[fieldName],\n\t\t\tvalueB = tiddler.fields[fieldName];\n\t\t// Check for identical string values\n\t\tif(typeof(valueA) === \"string\" && typeof(valueB) === \"string\" && valueA === valueB) {\n\t\t\treturn true;\n\t\t}\n\t\t// Check for identical array values\n\t\tif($tw.utils.isArray(valueA) && $tw.utils.isArray(valueB) && $tw.utils.isArrayEqual(valueA,valueB)) {\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise the fields must be different\n\t\treturn false;\n\t}\n\t// Compare our fields\n\tfor(var fieldName in this.fields) {\n\t\tif(!isFieldValueEqual(fieldName)) {\n\t\t\taddDifference(fieldName);\n\t\t}\n\t}\n\t// There's a difference for every field in the other tiddler that we don't have\n\tfor(fieldName in tiddler.fields) {\n\t\tif(!(fieldName in this.fields)) {\n\t\t\taddDifference(fieldName);\n\t\t}\n\t}\n\t// Return whether there were any differences\n\treturn differences.length === 0;\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlermethod"
},
"$:/core/modules/upgraders/plugins.js": {
"title": "$:/core/modules/upgraders/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"] && incomingTiddler.version) {\n\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/system.js": {
"title": "$:/core/modules/upgraders/system.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/themetweaks.js": {
"title": "$:/core/modules/upgraders/themetweaks.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/utils/crypto.js": {
"title": "$:/core/modules/utils/crypto.js",
"text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/animations/slide.js": {
"title": "$:/core/modules/utils/dom/animations/slide.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "animation"
},
"$:/core/modules/utils/dom/animator.js": {
"title": "$:/core/modules/utils/dom/animator.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/browser.js": {
"title": "$:/core/modules/utils/dom/browser.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/csscolorparser.js": {
"title": "$:/core/modules/utils/dom/csscolorparser.js",
"text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) { // Clamp to integer 0 .. 255.\n i = Math.round(i); // Seems to be what Chrome does (vs truncation).\n return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) { // Clamp to float 0.0 .. 1.0.\n return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) { // int or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_byte(parseFloat(str) / 100 * 255);\n return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) { // float or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_float(parseFloat(str) / 100);\n return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n if (h < 0) h += 1;\n else if (h > 1) h -= 1;\n\n if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n if (h * 2 < 1) return m2;\n if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n return m1;\n}\n\nfunction parseCSSColor(css_str) {\n // Remove all whitespace, not compliant, but should just be more accepting.\n var str = css_str.replace(/ /g, '').toLowerCase();\n\n // Color keywords (and transparent) lookup.\n if (str in kCSSColorTable) return kCSSColorTable[str].slice(); // dup.\n\n // #abc and #abc123 syntax.\n if (str[0] === '#') {\n if (str.length === 4) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xfff)) return null; // Covers NaN.\n return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n (iv & 0xf0) | ((iv & 0xf0) >> 4),\n (iv & 0xf) | ((iv & 0xf) << 4),\n 1];\n } else if (str.length === 7) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xffffff)) return null; // Covers NaN.\n return [(iv & 0xff0000) >> 16,\n (iv & 0xff00) >> 8,\n iv & 0xff,\n 1];\n }\n\n return null;\n }\n\n var op = str.indexOf('('), ep = str.indexOf(')');\n if (op !== -1 && ep + 1 === str.length) {\n var fname = str.substr(0, op);\n var params = str.substr(op+1, ep-(op+1)).split(',');\n var alpha = 1; // To allow case fallthrough.\n switch (fname) {\n case 'rgba':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'rgb':\n if (params.length !== 3) return null;\n return [parse_css_int(params[0]),\n parse_css_int(params[1]),\n parse_css_int(params[2]),\n alpha];\n case 'hsla':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'hsl':\n if (params.length !== 3) return null;\n var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360; // 0 .. 1\n // NOTE(deanm): According to the CSS spec s/l should only be\n // percentages, but we don't bother and let float or percentage.\n var s = parse_css_float(params[1]);\n var l = parse_css_float(params[2]);\n var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n var m1 = l * 2 - m2;\n return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n alpha];\n default:\n return null;\n }\n }\n\n return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom.js": {
"title": "$:/core/modules/utils/dom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.className && el.className.toString().split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = el.className.split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t}\n\tel.className = c.join(\" \");\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = el.className.split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function() {\n\tif(\"scrollX\" in window) {\n\t\treturn {x: window.scrollX, y: window.scrollY};\n\t} else {\n\t\treturn {x: document.documentElement.scrollLeft, y: document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight;\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\ttry {\n\t\tif(window.localStorage) {\n\t\t\tlocalStorage.setItem(\"tw5-password-\" + name,password);\n\t\t}\n\t} catch(e) {\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\ttry {\n\t\treturn window.localStorage ? localStorage.getItem(\"tw5-password-\" + name) : \"\";\n\t} catch(e) {\n\t\treturn \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/dragndrop.js": {
"title": "$:/core/modules/utils/dom/dragndrop.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\ndragImageType: \"pill\" or \"dom\"\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the contect for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif((domNode.tagName || \"\").toLowerCase() !== \"a\") {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\t\t\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [];\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && event.target === domNode) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(event.target,\"tc-dragging\");\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif(event.target === domNode) {\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(event.target,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = JSON.parse(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/http.js": {
"title": "$:/core/modules/utils/dom/http.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data)\n\treturnProp: string name of the property to return as first argument of callback\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tdata = results.join(\"&\");\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,options.url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !$tw.utils.hop(headers,\"Content-type\")) {\n\t\trequest.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e);\n\t}\n\treturn request;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/keyboard.js": {
"title": "$:/core/modules/utils/dom/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/modal.js": {
"title": "$:/core/modules/utils/dom/modal.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Create the wrapper divs\n\tvar wrapper = document.createElement(\"div\"),\n\t\tmodalBackdrop = document.createElement(\"div\"),\n\t\tmodalWrapper = document.createElement(\"div\"),\n\t\tmodalHeader = document.createElement(\"div\"),\n\t\theaderTitle = document.createElement(\"h3\"),\n\t\tmodalBody = document.createElement(\"div\"),\n\t\tmodalLink = document.createElement(\"a\"),\n\t\tmodalFooter = document.createElement(\"div\"),\n\t\tmodalFooterHelp = document.createElement(\"span\"),\n\t\tmodalFooterButtons = document.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(document.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler && tiddler.fields && tiddler.fields.help) {\n\t\tvar link = document.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(document.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + window.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\twindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tdocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tdocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tif($tw.pageContainer) {\n\t\t$tw.utils.toggleClass($tw.pageContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/notifier.js": {
"title": "$:/core/modules/utils/dom/notifier.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/popup.js": {
"title": "$:/core/modules/utils/dom/popup.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\t// Store the popup details if not already there\n\tif(this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode\n\t\t});\n\t}\n\t// Set the state tiddler\n\toptions.wiki.setTextReference(options.title,\n\t\t\t\"(\" + options.domNode.offsetLeft + \",\" + options.domNode.offsetTop + \",\" + \n\t\t\t\toptions.domNode.offsetWidth + \",\" + options.domNode.offsetHeight + \")\");\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/scroller.js": {
"title": "$:/core/modules/utils/dom/scroller.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\treturn this.scrollIntoView(event.target);\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\t// Now get ready to scroll the body\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = $tw.utils.getScrollPosition();\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar clientBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\ttop: clientBounds.top + scrollPosition.y,\n\t\t\twidth: clientBounds.width,\n\t\t\theight: clientBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t// targetPos/targetSize - position and size of the target element\n\t// currentPos/currentSize - position and size of the current scroll viewport\n\t// returns: new position of the scroll viewport\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to it's top/left\n\t\t\tif(targetPos <= currentPos) {\n\t\t\t\tnewPos = targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\tnewPos = targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\tnewPos = targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\tnewPos = currentPos;\n\t\t\t}\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,window.innerWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,window.innerHeight);\n\t// Only scroll if the position has changed\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\twindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/edition-info.js": {
"title": "$:/core/modules/utils/edition-info.js",
"text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/fakedom.js": {
"title": "$:/core/modules/utils/fakedom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis.style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value + \"\";\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this.style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this.style) {\n\t\t\t\tstyle.push(s + \":\" + this.style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\")\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/filesystem.js": {
"title": "$:/core/modules/utils/filesystem.js",
"text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = $tw.utils.removeTrailingSeparator(srcPath);\n\tdstPath = $tw.utils.removeTrailingSeparator(dstPath);\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = new Buffer(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/logger.js": {
"title": "$:/core/modules/utils/logger.js",
"text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n}\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tif(this.enable && console !== undefined && console.log !== undefined) {\n\t\treturn Function.apply.call(console.log, console, [$tw.utils.terminalColour(this.colour),this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)).concat($tw.utils.terminalColour()));\n\t}\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\t\t\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/parsetree.js": {
"title": "$:/core/modules/utils/parsetree.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/performance.js": {
"title": "$:/core/modules/utils/performance.js",
"text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap of current values of measurements\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n}\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tself.measures = {};\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\tfor(var m in self.measures) {\n\t\t\t\tself.logger.log(\"+\" + m + \": \" + self.measures[m].toFixed(2) + \"ms\");\n\t\t\t}\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments),\n\t\t\t\tvalue = self.measures[name] || 0;\n\t\t\tself.measures[name] = value + $tw.utils.timer(startTime);\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/pluginmaker.js": {
"title": "$:/core/modules/utils/pluginmaker.js",
"text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/transliterate.js": {
"title": "$:/core/modules/utils/transliterate.js",
"text": "/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = {\n\t\"Á\":\"A\",\n\t\"Ă\":\"A\",\n\t\"Ắ\":\"A\",\n\t\"Ặ\":\"A\",\n\t\"Ằ\":\"A\",\n\t\"Ẳ\":\"A\",\n\t\"Ẵ\":\"A\",\n\t\"Ǎ\":\"A\",\n\t\"Â\":\"A\",\n\t\"Ấ\":\"A\",\n\t\"Ậ\":\"A\",\n\t\"Ầ\":\"A\",\n\t\"Ẩ\":\"A\",\n\t\"Ẫ\":\"A\",\n\t\"Ä\":\"A\",\n\t\"Ǟ\":\"A\",\n\t\"Ȧ\":\"A\",\n\t\"Ǡ\":\"A\",\n\t\"Ạ\":\"A\",\n\t\"Ȁ\":\"A\",\n\t\"À\":\"A\",\n\t\"Ả\":\"A\",\n\t\"Ȃ\":\"A\",\n\t\"Ā\":\"A\",\n\t\"Ą\":\"A\",\n\t\"Å\":\"A\",\n\t\"Ǻ\":\"A\",\n\t\"Ḁ\":\"A\",\n\t\"Ⱥ\":\"A\",\n\t\"Ã\":\"A\",\n\t\"Ꜳ\":\"AA\",\n\t\"Æ\":\"AE\",\n\t\"Ǽ\":\"AE\",\n\t\"Ǣ\":\"AE\",\n\t\"Ꜵ\":\"AO\",\n\t\"Ꜷ\":\"AU\",\n\t\"Ꜹ\":\"AV\",\n\t\"Ꜻ\":\"AV\",\n\t\"Ꜽ\":\"AY\",\n\t\"Ḃ\":\"B\",\n\t\"Ḅ\":\"B\",\n\t\"Ɓ\":\"B\",\n\t\"Ḇ\":\"B\",\n\t\"Ƀ\":\"B\",\n\t\"Ƃ\":\"B\",\n\t\"Ć\":\"C\",\n\t\"Č\":\"C\",\n\t\"Ç\":\"C\",\n\t\"Ḉ\":\"C\",\n\t\"Ĉ\":\"C\",\n\t\"Ċ\":\"C\",\n\t\"Ƈ\":\"C\",\n\t\"Ȼ\":\"C\",\n\t\"Ď\":\"D\",\n\t\"Ḑ\":\"D\",\n\t\"Ḓ\":\"D\",\n\t\"Ḋ\":\"D\",\n\t\"Ḍ\":\"D\",\n\t\"Ɗ\":\"D\",\n\t\"Ḏ\":\"D\",\n\t\"Dz\":\"D\",\n\t\"Dž\":\"D\",\n\t\"Đ\":\"D\",\n\t\"Ƌ\":\"D\",\n\t\"DZ\":\"DZ\",\n\t\"DŽ\":\"DZ\",\n\t\"É\":\"E\",\n\t\"Ĕ\":\"E\",\n\t\"Ě\":\"E\",\n\t\"Ȩ\":\"E\",\n\t\"Ḝ\":\"E\",\n\t\"Ê\":\"E\",\n\t\"Ế\":\"E\",\n\t\"Ệ\":\"E\",\n\t\"Ề\":\"E\",\n\t\"Ể\":\"E\",\n\t\"Ễ\":\"E\",\n\t\"Ḙ\":\"E\",\n\t\"Ë\":\"E\",\n\t\"Ė\":\"E\",\n\t\"Ẹ\":\"E\",\n\t\"Ȅ\":\"E\",\n\t\"È\":\"E\",\n\t\"Ẻ\":\"E\",\n\t\"Ȇ\":\"E\",\n\t\"Ē\":\"E\",\n\t\"Ḗ\":\"E\",\n\t\"Ḕ\":\"E\",\n\t\"Ę\":\"E\",\n\t\"Ɇ\":\"E\",\n\t\"Ẽ\":\"E\",\n\t\"Ḛ\":\"E\",\n\t\"Ꝫ\":\"ET\",\n\t\"Ḟ\":\"F\",\n\t\"Ƒ\":\"F\",\n\t\"Ǵ\":\"G\",\n\t\"Ğ\":\"G\",\n\t\"Ǧ\":\"G\",\n\t\"Ģ\":\"G\",\n\t\"Ĝ\":\"G\",\n\t\"Ġ\":\"G\",\n\t\"Ɠ\":\"G\",\n\t\"Ḡ\":\"G\",\n\t\"Ǥ\":\"G\",\n\t\"Ḫ\":\"H\",\n\t\"Ȟ\":\"H\",\n\t\"Ḩ\":\"H\",\n\t\"Ĥ\":\"H\",\n\t\"Ⱨ\":\"H\",\n\t\"Ḧ\":\"H\",\n\t\"Ḣ\":\"H\",\n\t\"Ḥ\":\"H\",\n\t\"Ħ\":\"H\",\n\t\"Í\":\"I\",\n\t\"Ĭ\":\"I\",\n\t\"Ǐ\":\"I\",\n\t\"Î\":\"I\",\n\t\"Ï\":\"I\",\n\t\"Ḯ\":\"I\",\n\t\"İ\":\"I\",\n\t\"Ị\":\"I\",\n\t\"Ȉ\":\"I\",\n\t\"Ì\":\"I\",\n\t\"Ỉ\":\"I\",\n\t\"Ȋ\":\"I\",\n\t\"Ī\":\"I\",\n\t\"Į\":\"I\",\n\t\"Ɨ\":\"I\",\n\t\"Ĩ\":\"I\",\n\t\"Ḭ\":\"I\",\n\t\"Ꝺ\":\"D\",\n\t\"Ꝼ\":\"F\",\n\t\"Ᵹ\":\"G\",\n\t\"Ꞃ\":\"R\",\n\t\"Ꞅ\":\"S\",\n\t\"Ꞇ\":\"T\",\n\t\"Ꝭ\":\"IS\",\n\t\"Ĵ\":\"J\",\n\t\"Ɉ\":\"J\",\n\t\"Ḱ\":\"K\",\n\t\"Ǩ\":\"K\",\n\t\"Ķ\":\"K\",\n\t\"Ⱪ\":\"K\",\n\t\"Ꝃ\":\"K\",\n\t\"Ḳ\":\"K\",\n\t\"Ƙ\":\"K\",\n\t\"Ḵ\":\"K\",\n\t\"Ꝁ\":\"K\",\n\t\"Ꝅ\":\"K\",\n\t\"Ĺ\":\"L\",\n\t\"Ƚ\":\"L\",\n\t\"Ľ\":\"L\",\n\t\"Ļ\":\"L\",\n\t\"Ḽ\":\"L\",\n\t\"Ḷ\":\"L\",\n\t\"Ḹ\":\"L\",\n\t\"Ⱡ\":\"L\",\n\t\"Ꝉ\":\"L\",\n\t\"Ḻ\":\"L\",\n\t\"Ŀ\":\"L\",\n\t\"Ɫ\":\"L\",\n\t\"Lj\":\"L\",\n\t\"Ł\":\"L\",\n\t\"LJ\":\"LJ\",\n\t\"Ḿ\":\"M\",\n\t\"Ṁ\":\"M\",\n\t\"Ṃ\":\"M\",\n\t\"Ɱ\":\"M\",\n\t\"Ń\":\"N\",\n\t\"Ň\":\"N\",\n\t\"Ņ\":\"N\",\n\t\"Ṋ\":\"N\",\n\t\"Ṅ\":\"N\",\n\t\"Ṇ\":\"N\",\n\t\"Ǹ\":\"N\",\n\t\"Ɲ\":\"N\",\n\t\"Ṉ\":\"N\",\n\t\"Ƞ\":\"N\",\n\t\"Nj\":\"N\",\n\t\"Ñ\":\"N\",\n\t\"NJ\":\"NJ\",\n\t\"Ó\":\"O\",\n\t\"Ŏ\":\"O\",\n\t\"Ǒ\":\"O\",\n\t\"Ô\":\"O\",\n\t\"Ố\":\"O\",\n\t\"Ộ\":\"O\",\n\t\"Ồ\":\"O\",\n\t\"Ổ\":\"O\",\n\t\"Ỗ\":\"O\",\n\t\"Ö\":\"O\",\n\t\"Ȫ\":\"O\",\n\t\"Ȯ\":\"O\",\n\t\"Ȱ\":\"O\",\n\t\"Ọ\":\"O\",\n\t\"Ő\":\"O\",\n\t\"Ȍ\":\"O\",\n\t\"Ò\":\"O\",\n\t\"Ỏ\":\"O\",\n\t\"Ơ\":\"O\",\n\t\"Ớ\":\"O\",\n\t\"Ợ\":\"O\",\n\t\"Ờ\":\"O\",\n\t\"Ở\":\"O\",\n\t\"Ỡ\":\"O\",\n\t\"Ȏ\":\"O\",\n\t\"Ꝋ\":\"O\",\n\t\"Ꝍ\":\"O\",\n\t\"Ō\":\"O\",\n\t\"Ṓ\":\"O\",\n\t\"Ṑ\":\"O\",\n\t\"Ɵ\":\"O\",\n\t\"Ǫ\":\"O\",\n\t\"Ǭ\":\"O\",\n\t\"Ø\":\"O\",\n\t\"Ǿ\":\"O\",\n\t\"Õ\":\"O\",\n\t\"Ṍ\":\"O\",\n\t\"Ṏ\":\"O\",\n\t\"Ȭ\":\"O\",\n\t\"Ƣ\":\"OI\",\n\t\"Ꝏ\":\"OO\",\n\t\"Ɛ\":\"E\",\n\t\"Ɔ\":\"O\",\n\t\"Ȣ\":\"OU\",\n\t\"Ṕ\":\"P\",\n\t\"Ṗ\":\"P\",\n\t\"Ꝓ\":\"P\",\n\t\"Ƥ\":\"P\",\n\t\"Ꝕ\":\"P\",\n\t\"Ᵽ\":\"P\",\n\t\"Ꝑ\":\"P\",\n\t\"Ꝙ\":\"Q\",\n\t\"Ꝗ\":\"Q\",\n\t\"Ŕ\":\"R\",\n\t\"Ř\":\"R\",\n\t\"Ŗ\":\"R\",\n\t\"Ṙ\":\"R\",\n\t\"Ṛ\":\"R\",\n\t\"Ṝ\":\"R\",\n\t\"Ȑ\":\"R\",\n\t\"Ȓ\":\"R\",\n\t\"Ṟ\":\"R\",\n\t\"Ɍ\":\"R\",\n\t\"Ɽ\":\"R\",\n\t\"Ꜿ\":\"C\",\n\t\"Ǝ\":\"E\",\n\t\"Ś\":\"S\",\n\t\"Ṥ\":\"S\",\n\t\"Š\":\"S\",\n\t\"Ṧ\":\"S\",\n\t\"Ş\":\"S\",\n\t\"Ŝ\":\"S\",\n\t\"Ș\":\"S\",\n\t\"Ṡ\":\"S\",\n\t\"Ṣ\":\"S\",\n\t\"Ṩ\":\"S\",\n\t\"Ť\":\"T\",\n\t\"Ţ\":\"T\",\n\t\"Ṱ\":\"T\",\n\t\"Ț\":\"T\",\n\t\"Ⱦ\":\"T\",\n\t\"Ṫ\":\"T\",\n\t\"Ṭ\":\"T\",\n\t\"Ƭ\":\"T\",\n\t\"Ṯ\":\"T\",\n\t\"Ʈ\":\"T\",\n\t\"Ŧ\":\"T\",\n\t\"Ɐ\":\"A\",\n\t\"Ꞁ\":\"L\",\n\t\"Ɯ\":\"M\",\n\t\"Ʌ\":\"V\",\n\t\"Ꜩ\":\"TZ\",\n\t\"Ú\":\"U\",\n\t\"Ŭ\":\"U\",\n\t\"Ǔ\":\"U\",\n\t\"Û\":\"U\",\n\t\"Ṷ\":\"U\",\n\t\"Ü\":\"U\",\n\t\"Ǘ\":\"U\",\n\t\"Ǚ\":\"U\",\n\t\"Ǜ\":\"U\",\n\t\"Ǖ\":\"U\",\n\t\"Ṳ\":\"U\",\n\t\"Ụ\":\"U\",\n\t\"Ű\":\"U\",\n\t\"Ȕ\":\"U\",\n\t\"Ù\":\"U\",\n\t\"Ủ\":\"U\",\n\t\"Ư\":\"U\",\n\t\"Ứ\":\"U\",\n\t\"Ự\":\"U\",\n\t\"Ừ\":\"U\",\n\t\"Ử\":\"U\",\n\t\"Ữ\":\"U\",\n\t\"Ȗ\":\"U\",\n\t\"Ū\":\"U\",\n\t\"Ṻ\":\"U\",\n\t\"Ų\":\"U\",\n\t\"Ů\":\"U\",\n\t\"Ũ\":\"U\",\n\t\"Ṹ\":\"U\",\n\t\"Ṵ\":\"U\",\n\t\"Ꝟ\":\"V\",\n\t\"Ṿ\":\"V\",\n\t\"Ʋ\":\"V\",\n\t\"Ṽ\":\"V\",\n\t\"Ꝡ\":\"VY\",\n\t\"Ẃ\":\"W\",\n\t\"Ŵ\":\"W\",\n\t\"Ẅ\":\"W\",\n\t\"Ẇ\":\"W\",\n\t\"Ẉ\":\"W\",\n\t\"Ẁ\":\"W\",\n\t\"Ⱳ\":\"W\",\n\t\"Ẍ\":\"X\",\n\t\"Ẋ\":\"X\",\n\t\"Ý\":\"Y\",\n\t\"Ŷ\":\"Y\",\n\t\"Ÿ\":\"Y\",\n\t\"Ẏ\":\"Y\",\n\t\"Ỵ\":\"Y\",\n\t\"Ỳ\":\"Y\",\n\t\"Ƴ\":\"Y\",\n\t\"Ỷ\":\"Y\",\n\t\"Ỿ\":\"Y\",\n\t\"Ȳ\":\"Y\",\n\t\"Ɏ\":\"Y\",\n\t\"Ỹ\":\"Y\",\n\t\"Ź\":\"Z\",\n\t\"Ž\":\"Z\",\n\t\"Ẑ\":\"Z\",\n\t\"Ⱬ\":\"Z\",\n\t\"Ż\":\"Z\",\n\t\"Ẓ\":\"Z\",\n\t\"Ȥ\":\"Z\",\n\t\"Ẕ\":\"Z\",\n\t\"Ƶ\":\"Z\",\n\t\"IJ\":\"IJ\",\n\t\"Œ\":\"OE\",\n\t\"ᴀ\":\"A\",\n\t\"ᴁ\":\"AE\",\n\t\"ʙ\":\"B\",\n\t\"ᴃ\":\"B\",\n\t\"ᴄ\":\"C\",\n\t\"ᴅ\":\"D\",\n\t\"ᴇ\":\"E\",\n\t\"ꜰ\":\"F\",\n\t\"ɢ\":\"G\",\n\t\"ʛ\":\"G\",\n\t\"ʜ\":\"H\",\n\t\"ɪ\":\"I\",\n\t\"ʁ\":\"R\",\n\t\"ᴊ\":\"J\",\n\t\"ᴋ\":\"K\",\n\t\"ʟ\":\"L\",\n\t\"ᴌ\":\"L\",\n\t\"ᴍ\":\"M\",\n\t\"ɴ\":\"N\",\n\t\"ᴏ\":\"O\",\n\t\"ɶ\":\"OE\",\n\t\"ᴐ\":\"O\",\n\t\"ᴕ\":\"OU\",\n\t\"ᴘ\":\"P\",\n\t\"ʀ\":\"R\",\n\t\"ᴎ\":\"N\",\n\t\"ᴙ\":\"R\",\n\t\"ꜱ\":\"S\",\n\t\"ᴛ\":\"T\",\n\t\"ⱻ\":\"E\",\n\t\"ᴚ\":\"R\",\n\t\"ᴜ\":\"U\",\n\t\"ᴠ\":\"V\",\n\t\"ᴡ\":\"W\",\n\t\"ʏ\":\"Y\",\n\t\"ᴢ\":\"Z\",\n\t\"á\":\"a\",\n\t\"ă\":\"a\",\n\t\"ắ\":\"a\",\n\t\"ặ\":\"a\",\n\t\"ằ\":\"a\",\n\t\"ẳ\":\"a\",\n\t\"ẵ\":\"a\",\n\t\"ǎ\":\"a\",\n\t\"â\":\"a\",\n\t\"ấ\":\"a\",\n\t\"ậ\":\"a\",\n\t\"ầ\":\"a\",\n\t\"ẩ\":\"a\",\n\t\"ẫ\":\"a\",\n\t\"ä\":\"a\",\n\t\"ǟ\":\"a\",\n\t\"ȧ\":\"a\",\n\t\"ǡ\":\"a\",\n\t\"ạ\":\"a\",\n\t\"ȁ\":\"a\",\n\t\"à\":\"a\",\n\t\"ả\":\"a\",\n\t\"ȃ\":\"a\",\n\t\"ā\":\"a\",\n\t\"ą\":\"a\",\n\t\"ᶏ\":\"a\",\n\t\"ẚ\":\"a\",\n\t\"å\":\"a\",\n\t\"ǻ\":\"a\",\n\t\"ḁ\":\"a\",\n\t\"ⱥ\":\"a\",\n\t\"ã\":\"a\",\n\t\"ꜳ\":\"aa\",\n\t\"æ\":\"ae\",\n\t\"ǽ\":\"ae\",\n\t\"ǣ\":\"ae\",\n\t\"ꜵ\":\"ao\",\n\t\"ꜷ\":\"au\",\n\t\"ꜹ\":\"av\",\n\t\"ꜻ\":\"av\",\n\t\"ꜽ\":\"ay\",\n\t\"ḃ\":\"b\",\n\t\"ḅ\":\"b\",\n\t\"ɓ\":\"b\",\n\t\"ḇ\":\"b\",\n\t\"ᵬ\":\"b\",\n\t\"ᶀ\":\"b\",\n\t\"ƀ\":\"b\",\n\t\"ƃ\":\"b\",\n\t\"ɵ\":\"o\",\n\t\"ć\":\"c\",\n\t\"č\":\"c\",\n\t\"ç\":\"c\",\n\t\"ḉ\":\"c\",\n\t\"ĉ\":\"c\",\n\t\"ɕ\":\"c\",\n\t\"ċ\":\"c\",\n\t\"ƈ\":\"c\",\n\t\"ȼ\":\"c\",\n\t\"ď\":\"d\",\n\t\"ḑ\":\"d\",\n\t\"ḓ\":\"d\",\n\t\"ȡ\":\"d\",\n\t\"ḋ\":\"d\",\n\t\"ḍ\":\"d\",\n\t\"ɗ\":\"d\",\n\t\"ᶑ\":\"d\",\n\t\"ḏ\":\"d\",\n\t\"ᵭ\":\"d\",\n\t\"ᶁ\":\"d\",\n\t\"đ\":\"d\",\n\t\"ɖ\":\"d\",\n\t\"ƌ\":\"d\",\n\t\"ı\":\"i\",\n\t\"ȷ\":\"j\",\n\t\"ɟ\":\"j\",\n\t\"ʄ\":\"j\",\n\t\"dz\":\"dz\",\n\t\"dž\":\"dz\",\n\t\"é\":\"e\",\n\t\"ĕ\":\"e\",\n\t\"ě\":\"e\",\n\t\"ȩ\":\"e\",\n\t\"ḝ\":\"e\",\n\t\"ê\":\"e\",\n\t\"ế\":\"e\",\n\t\"ệ\":\"e\",\n\t\"ề\":\"e\",\n\t\"ể\":\"e\",\n\t\"ễ\":\"e\",\n\t\"ḙ\":\"e\",\n\t\"ë\":\"e\",\n\t\"ė\":\"e\",\n\t\"ẹ\":\"e\",\n\t\"ȅ\":\"e\",\n\t\"è\":\"e\",\n\t\"ẻ\":\"e\",\n\t\"ȇ\":\"e\",\n\t\"ē\":\"e\",\n\t\"ḗ\":\"e\",\n\t\"ḕ\":\"e\",\n\t\"ⱸ\":\"e\",\n\t\"ę\":\"e\",\n\t\"ᶒ\":\"e\",\n\t\"ɇ\":\"e\",\n\t\"ẽ\":\"e\",\n\t\"ḛ\":\"e\",\n\t\"ꝫ\":\"et\",\n\t\"ḟ\":\"f\",\n\t\"ƒ\":\"f\",\n\t\"ᵮ\":\"f\",\n\t\"ᶂ\":\"f\",\n\t\"ǵ\":\"g\",\n\t\"ğ\":\"g\",\n\t\"ǧ\":\"g\",\n\t\"ģ\":\"g\",\n\t\"ĝ\":\"g\",\n\t\"ġ\":\"g\",\n\t\"ɠ\":\"g\",\n\t\"ḡ\":\"g\",\n\t\"ᶃ\":\"g\",\n\t\"ǥ\":\"g\",\n\t\"ḫ\":\"h\",\n\t\"ȟ\":\"h\",\n\t\"ḩ\":\"h\",\n\t\"ĥ\":\"h\",\n\t\"ⱨ\":\"h\",\n\t\"ḧ\":\"h\",\n\t\"ḣ\":\"h\",\n\t\"ḥ\":\"h\",\n\t\"ɦ\":\"h\",\n\t\"ẖ\":\"h\",\n\t\"ħ\":\"h\",\n\t\"ƕ\":\"hv\",\n\t\"í\":\"i\",\n\t\"ĭ\":\"i\",\n\t\"ǐ\":\"i\",\n\t\"î\":\"i\",\n\t\"ï\":\"i\",\n\t\"ḯ\":\"i\",\n\t\"ị\":\"i\",\n\t\"ȉ\":\"i\",\n\t\"ì\":\"i\",\n\t\"ỉ\":\"i\",\n\t\"ȋ\":\"i\",\n\t\"ī\":\"i\",\n\t\"į\":\"i\",\n\t\"ᶖ\":\"i\",\n\t\"ɨ\":\"i\",\n\t\"ĩ\":\"i\",\n\t\"ḭ\":\"i\",\n\t\"ꝺ\":\"d\",\n\t\"ꝼ\":\"f\",\n\t\"ᵹ\":\"g\",\n\t\"ꞃ\":\"r\",\n\t\"ꞅ\":\"s\",\n\t\"ꞇ\":\"t\",\n\t\"ꝭ\":\"is\",\n\t\"ǰ\":\"j\",\n\t\"ĵ\":\"j\",\n\t\"ʝ\":\"j\",\n\t\"ɉ\":\"j\",\n\t\"ḱ\":\"k\",\n\t\"ǩ\":\"k\",\n\t\"ķ\":\"k\",\n\t\"ⱪ\":\"k\",\n\t\"ꝃ\":\"k\",\n\t\"ḳ\":\"k\",\n\t\"ƙ\":\"k\",\n\t\"ḵ\":\"k\",\n\t\"ᶄ\":\"k\",\n\t\"ꝁ\":\"k\",\n\t\"ꝅ\":\"k\",\n\t\"ĺ\":\"l\",\n\t\"ƚ\":\"l\",\n\t\"ɬ\":\"l\",\n\t\"ľ\":\"l\",\n\t\"ļ\":\"l\",\n\t\"ḽ\":\"l\",\n\t\"ȴ\":\"l\",\n\t\"ḷ\":\"l\",\n\t\"ḹ\":\"l\",\n\t\"ⱡ\":\"l\",\n\t\"ꝉ\":\"l\",\n\t\"ḻ\":\"l\",\n\t\"ŀ\":\"l\",\n\t\"ɫ\":\"l\",\n\t\"ᶅ\":\"l\",\n\t\"ɭ\":\"l\",\n\t\"ł\":\"l\",\n\t\"lj\":\"lj\",\n\t\"ſ\":\"s\",\n\t\"ẜ\":\"s\",\n\t\"ẛ\":\"s\",\n\t\"ẝ\":\"s\",\n\t\"ḿ\":\"m\",\n\t\"ṁ\":\"m\",\n\t\"ṃ\":\"m\",\n\t\"ɱ\":\"m\",\n\t\"ᵯ\":\"m\",\n\t\"ᶆ\":\"m\",\n\t\"ń\":\"n\",\n\t\"ň\":\"n\",\n\t\"ņ\":\"n\",\n\t\"ṋ\":\"n\",\n\t\"ȵ\":\"n\",\n\t\"ṅ\":\"n\",\n\t\"ṇ\":\"n\",\n\t\"ǹ\":\"n\",\n\t\"ɲ\":\"n\",\n\t\"ṉ\":\"n\",\n\t\"ƞ\":\"n\",\n\t\"ᵰ\":\"n\",\n\t\"ᶇ\":\"n\",\n\t\"ɳ\":\"n\",\n\t\"ñ\":\"n\",\n\t\"nj\":\"nj\",\n\t\"ó\":\"o\",\n\t\"ŏ\":\"o\",\n\t\"ǒ\":\"o\",\n\t\"ô\":\"o\",\n\t\"ố\":\"o\",\n\t\"ộ\":\"o\",\n\t\"ồ\":\"o\",\n\t\"ổ\":\"o\",\n\t\"ỗ\":\"o\",\n\t\"ö\":\"o\",\n\t\"ȫ\":\"o\",\n\t\"ȯ\":\"o\",\n\t\"ȱ\":\"o\",\n\t\"ọ\":\"o\",\n\t\"ő\":\"o\",\n\t\"ȍ\":\"o\",\n\t\"ò\":\"o\",\n\t\"ỏ\":\"o\",\n\t\"ơ\":\"o\",\n\t\"ớ\":\"o\",\n\t\"ợ\":\"o\",\n\t\"ờ\":\"o\",\n\t\"ở\":\"o\",\n\t\"ỡ\":\"o\",\n\t\"ȏ\":\"o\",\n\t\"ꝋ\":\"o\",\n\t\"ꝍ\":\"o\",\n\t\"ⱺ\":\"o\",\n\t\"ō\":\"o\",\n\t\"ṓ\":\"o\",\n\t\"ṑ\":\"o\",\n\t\"ǫ\":\"o\",\n\t\"ǭ\":\"o\",\n\t\"ø\":\"o\",\n\t\"ǿ\":\"o\",\n\t\"õ\":\"o\",\n\t\"ṍ\":\"o\",\n\t\"ṏ\":\"o\",\n\t\"ȭ\":\"o\",\n\t\"ƣ\":\"oi\",\n\t\"ꝏ\":\"oo\",\n\t\"ɛ\":\"e\",\n\t\"ᶓ\":\"e\",\n\t\"ɔ\":\"o\",\n\t\"ᶗ\":\"o\",\n\t\"ȣ\":\"ou\",\n\t\"ṕ\":\"p\",\n\t\"ṗ\":\"p\",\n\t\"ꝓ\":\"p\",\n\t\"ƥ\":\"p\",\n\t\"ᵱ\":\"p\",\n\t\"ᶈ\":\"p\",\n\t\"ꝕ\":\"p\",\n\t\"ᵽ\":\"p\",\n\t\"ꝑ\":\"p\",\n\t\"ꝙ\":\"q\",\n\t\"ʠ\":\"q\",\n\t\"ɋ\":\"q\",\n\t\"ꝗ\":\"q\",\n\t\"ŕ\":\"r\",\n\t\"ř\":\"r\",\n\t\"ŗ\":\"r\",\n\t\"ṙ\":\"r\",\n\t\"ṛ\":\"r\",\n\t\"ṝ\":\"r\",\n\t\"ȑ\":\"r\",\n\t\"ɾ\":\"r\",\n\t\"ᵳ\":\"r\",\n\t\"ȓ\":\"r\",\n\t\"ṟ\":\"r\",\n\t\"ɼ\":\"r\",\n\t\"ᵲ\":\"r\",\n\t\"ᶉ\":\"r\",\n\t\"ɍ\":\"r\",\n\t\"ɽ\":\"r\",\n\t\"ↄ\":\"c\",\n\t\"ꜿ\":\"c\",\n\t\"ɘ\":\"e\",\n\t\"ɿ\":\"r\",\n\t\"ś\":\"s\",\n\t\"ṥ\":\"s\",\n\t\"š\":\"s\",\n\t\"ṧ\":\"s\",\n\t\"ş\":\"s\",\n\t\"ŝ\":\"s\",\n\t\"ș\":\"s\",\n\t\"ṡ\":\"s\",\n\t\"ṣ\":\"s\",\n\t\"ṩ\":\"s\",\n\t\"ʂ\":\"s\",\n\t\"ᵴ\":\"s\",\n\t\"ᶊ\":\"s\",\n\t\"ȿ\":\"s\",\n\t\"ɡ\":\"g\",\n\t\"ᴑ\":\"o\",\n\t\"ᴓ\":\"o\",\n\t\"ᴝ\":\"u\",\n\t\"ť\":\"t\",\n\t\"ţ\":\"t\",\n\t\"ṱ\":\"t\",\n\t\"ț\":\"t\",\n\t\"ȶ\":\"t\",\n\t\"ẗ\":\"t\",\n\t\"ⱦ\":\"t\",\n\t\"ṫ\":\"t\",\n\t\"ṭ\":\"t\",\n\t\"ƭ\":\"t\",\n\t\"ṯ\":\"t\",\n\t\"ᵵ\":\"t\",\n\t\"ƫ\":\"t\",\n\t\"ʈ\":\"t\",\n\t\"ŧ\":\"t\",\n\t\"ᵺ\":\"th\",\n\t\"ɐ\":\"a\",\n\t\"ᴂ\":\"ae\",\n\t\"ǝ\":\"e\",\n\t\"ᵷ\":\"g\",\n\t\"ɥ\":\"h\",\n\t\"ʮ\":\"h\",\n\t\"ʯ\":\"h\",\n\t\"ᴉ\":\"i\",\n\t\"ʞ\":\"k\",\n\t\"ꞁ\":\"l\",\n\t\"ɯ\":\"m\",\n\t\"ɰ\":\"m\",\n\t\"ᴔ\":\"oe\",\n\t\"ɹ\":\"r\",\n\t\"ɻ\":\"r\",\n\t\"ɺ\":\"r\",\n\t\"ⱹ\":\"r\",\n\t\"ʇ\":\"t\",\n\t\"ʌ\":\"v\",\n\t\"ʍ\":\"w\",\n\t\"ʎ\":\"y\",\n\t\"ꜩ\":\"tz\",\n\t\"ú\":\"u\",\n\t\"ŭ\":\"u\",\n\t\"ǔ\":\"u\",\n\t\"û\":\"u\",\n\t\"ṷ\":\"u\",\n\t\"ü\":\"u\",\n\t\"ǘ\":\"u\",\n\t\"ǚ\":\"u\",\n\t\"ǜ\":\"u\",\n\t\"ǖ\":\"u\",\n\t\"ṳ\":\"u\",\n\t\"ụ\":\"u\",\n\t\"ű\":\"u\",\n\t\"ȕ\":\"u\",\n\t\"ù\":\"u\",\n\t\"ủ\":\"u\",\n\t\"ư\":\"u\",\n\t\"ứ\":\"u\",\n\t\"ự\":\"u\",\n\t\"ừ\":\"u\",\n\t\"ử\":\"u\",\n\t\"ữ\":\"u\",\n\t\"ȗ\":\"u\",\n\t\"ū\":\"u\",\n\t\"ṻ\":\"u\",\n\t\"ų\":\"u\",\n\t\"ᶙ\":\"u\",\n\t\"ů\":\"u\",\n\t\"ũ\":\"u\",\n\t\"ṹ\":\"u\",\n\t\"ṵ\":\"u\",\n\t\"ᵫ\":\"ue\",\n\t\"ꝸ\":\"um\",\n\t\"ⱴ\":\"v\",\n\t\"ꝟ\":\"v\",\n\t\"ṿ\":\"v\",\n\t\"ʋ\":\"v\",\n\t\"ᶌ\":\"v\",\n\t\"ⱱ\":\"v\",\n\t\"ṽ\":\"v\",\n\t\"ꝡ\":\"vy\",\n\t\"ẃ\":\"w\",\n\t\"ŵ\":\"w\",\n\t\"ẅ\":\"w\",\n\t\"ẇ\":\"w\",\n\t\"ẉ\":\"w\",\n\t\"ẁ\":\"w\",\n\t\"ⱳ\":\"w\",\n\t\"ẘ\":\"w\",\n\t\"ẍ\":\"x\",\n\t\"ẋ\":\"x\",\n\t\"ᶍ\":\"x\",\n\t\"ý\":\"y\",\n\t\"ŷ\":\"y\",\n\t\"ÿ\":\"y\",\n\t\"ẏ\":\"y\",\n\t\"ỵ\":\"y\",\n\t\"ỳ\":\"y\",\n\t\"ƴ\":\"y\",\n\t\"ỷ\":\"y\",\n\t\"ỿ\":\"y\",\n\t\"ȳ\":\"y\",\n\t\"ẙ\":\"y\",\n\t\"ɏ\":\"y\",\n\t\"ỹ\":\"y\",\n\t\"ź\":\"z\",\n\t\"ž\":\"z\",\n\t\"ẑ\":\"z\",\n\t\"ʑ\":\"z\",\n\t\"ⱬ\":\"z\",\n\t\"ż\":\"z\",\n\t\"ẓ\":\"z\",\n\t\"ȥ\":\"z\",\n\t\"ẕ\":\"z\",\n\t\"ᵶ\":\"z\",\n\t\"ᶎ\":\"z\",\n\t\"ʐ\":\"z\",\n\t\"ƶ\":\"z\",\n\t\"ɀ\":\"z\",\n\t\"ff\":\"ff\",\n\t\"ffi\":\"ffi\",\n\t\"ffl\":\"ffl\",\n\t\"fi\":\"fi\",\n\t\"fl\":\"fl\",\n\t\"ij\":\"ij\",\n\t\"œ\":\"oe\",\n\t\"st\":\"st\",\n\t\"ₐ\":\"a\",\n\t\"ₑ\":\"e\",\n\t\"ᵢ\":\"i\",\n\t\"ⱼ\":\"j\",\n\t\"ₒ\":\"o\",\n\t\"ᵣ\":\"r\",\n\t\"ᵤ\":\"u\",\n\t\"ᵥ\":\"v\",\n\t\"ₓ\":\"x\",\n\t\"Ё\":\"YO\",\n\t\"Й\":\"I\",\n\t\"Ц\":\"TS\",\n\t\"У\":\"U\",\n\t\"К\":\"K\",\n\t\"Е\":\"E\",\n\t\"Н\":\"N\",\n\t\"Г\":\"G\",\n\t\"Ш\":\"SH\",\n\t\"Щ\":\"SCH\",\n\t\"З\":\"Z\",\n\t\"Х\":\"H\",\n\t\"Ъ\":\"'\",\n\t\"ё\":\"yo\",\n\t\"й\":\"i\",\n\t\"ц\":\"ts\",\n\t\"у\":\"u\",\n\t\"к\":\"k\",\n\t\"е\":\"e\",\n\t\"н\":\"n\",\n\t\"г\":\"g\",\n\t\"ш\":\"sh\",\n\t\"щ\":\"sch\",\n\t\"з\":\"z\",\n\t\"х\":\"h\",\n\t\"ъ\":\"'\",\n\t\"Ф\":\"F\",\n\t\"Ы\":\"I\",\n\t\"В\":\"V\",\n\t\"А\":\"a\",\n\t\"П\":\"P\",\n\t\"Р\":\"R\",\n\t\"О\":\"O\",\n\t\"Л\":\"L\",\n\t\"Д\":\"D\",\n\t\"Ж\":\"ZH\",\n\t\"Э\":\"E\",\n\t\"ф\":\"f\",\n\t\"ы\":\"i\",\n\t\"в\":\"v\",\n\t\"а\":\"a\",\n\t\"п\":\"p\",\n\t\"р\":\"r\",\n\t\"о\":\"o\",\n\t\"л\":\"l\",\n\t\"д\":\"d\",\n\t\"ж\":\"zh\",\n\t\"э\":\"e\",\n\t\"Я\":\"Ya\",\n\t\"Ч\":\"CH\",\n\t\"С\":\"S\",\n\t\"М\":\"M\",\n\t\"И\":\"I\",\n\t\"Т\":\"T\",\n\t\"Ь\":\"'\",\n\t\"Б\":\"B\",\n\t\"Ю\":\"YU\",\n\t\"я\":\"ya\",\n\t\"ч\":\"ch\",\n\t\"с\":\"s\",\n\t\"м\":\"m\",\n\t\"и\":\"i\",\n\t\"т\":\"t\",\n\t\"ь\":\"'\",\n\t\"б\":\"b\",\n\t\"ю\":\"yu\"\n};\n\nexports.transliterate = function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/utils.js": {
"title": "$:/core/modules/utils/utils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nCheck if an array is equal by value and by reference.\n*/\nexports.isArrayEqual = function(array1,array2) {\n\tif(array1 === array2) {\n\t\treturn true;\n\t}\n\tarray1 = array1 || [];\n\tarray2 = array2 || [];\n\tif(array1.length !== array2.length) {\n\t\treturn false;\n\t}\n\treturn array1.every(function(value,index) {\n\t\treturn value === array2[index];\n\t});\n};\n\n/*\nPush entries onto an array, removing them first if they already exist in the array\n\tarray: array to modify (assumed to be free of duplicates)\n\tvalue: a single value to push or an array of values to push\n*/\nexports.pushTop = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\t// Remove any array entries that are duplicated in the new values\n\t\tif(value.length !== 0) {\n\t\t\tif(array.length !== 0) {\n\t\t\t\tif(value.length < array.length) {\n\t\t\t\t\tfor(t=0; t<value.length; t++) {\n\t\t\t\t\t\tp = array.indexOf(value[t]);\n\t\t\t\t\t\tif(p !== -1) {\n\t\t\t\t\t\t\tarray.splice(p,1);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tfor(t=array.length-1; t>=0; t--) {\n\t\t\t\t\t\tp = value.indexOf(array[t]);\n\t\t\t\t\t\tif(p !== -1) {\n\t\t\t\t\t\t\tarray.splice(t,1);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Push the values on top of the main array\n\t\t\tarray.push.apply(array,value);\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t\tarray.push(value);\n\t}\n\treturn array;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.getYearForWeekNo(date);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn date.getFullYear();\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds());\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means \n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\") \n\t\t\treturn $tw.utils.stringifyDate(new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t} \n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call();\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\", duration: 365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\", duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\", duration: 24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\", duration: 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration: 60 * 1000},\n\t\t{name: \"Seconds\", duration: 1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&\", < to \"<\", > to \">\", \" to \""\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&\").replace(/</mg,\"<\").replace(/>/mg,\">\").replace(/\\\"/mg,\""\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2); // Strip the & and the ;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\treturn converter(parseInt(e.substr(2),16));\t\n\t\t} else {\n\t\t\treturn converter(parseInt(e.substr(1),10));\n\t\t}\n\t} else {\n\t\tvar c = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/'/g, \"\\\\'\") // single quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g, exports.escape); // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s) {\n\t// See http://www.json.org/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/\\x08/g, '\\\\b') // backspace\n\t\t.replace(/\\x0c/g, '\\\\f') // formfeed\n\t\t.replace(/\\t/g, '\\\\t') // tab\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10);\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\tif($tw.browser) {\n\t\t// TODO\n\t\tthrow \"$tw.utils.base64Decode() doesn't work in the browser\";\n\t} else {\n\t\treturn (new Buffer(string64,\"base64\")).toString();\n\t}\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\t\t\n\t\tm = r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tparts.push(\"data:\");\n\tparts.push(type);\n\tparts.push(isBase64 ? \";base64\" : \"\");\n\tparts.push(\",\");\n\tparts.push(isBase64 ? text : encodeURIComponent(text));\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/widgets/action-createtiddler.js": {
"title": "$:/core/modules/widgets/action-createtiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.generateNewTitle(this.actionBaseTitle),\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tvar tiddler = this.wiki.addTiddler(new $tw.Tiddler(creationFields,fields,modificationFields,{title: title}));\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletefield.js": {
"title": "$:/core/modules/widgets/action-deletefield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif(this.actionField) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletetiddler.js": {
"title": "$:/core/modules/widgets/action-deletetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-listops.js": {
"title": "$:/core/modules/widgets/action-listops.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-navigate.js": {
"title": "$:/core/modules/widgets/action-navigate.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-sendmessage.js": {
"title": "$:/core/modules/widgets/action-sendmessage.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-setfield.js": {
"title": "$:/core/modules/widgets/action-setfield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\") || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/browse.js": {
"title": "$:/core/modules/widgets/browse.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/button.js": {
"title": "$:/core/modules/widgets/button.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = \"button\";\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = this.popup && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif(this.set && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(this,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n return this.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\t$tw.popup.triggerPopup({\n\t\tdomNode: this.domNodes[0],\n\t\ttitle: this.popup,\n\t\twiki: this.wiki\n\t});\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes[\"class\"] || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup])) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/checkbox.js": {
"title": "$:/core/modules/widgets/checkbox.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value;\n\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxIndex) {\n\t\t\tvar value = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/codeblock.js": {
"title": "$:/core/modules/widgets/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/count.js": {
"title": "$:/core/modules/widgets/count.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = undefined;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/draggable.js": {
"title": "$:/core/modules/widgets/draggable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\tvar tag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [\"tc-draggable\"];\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Add event handlers\n\t$tw.utils.makeDraggable({\n\t\tdomNode: domNode,\n\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\twidget: this\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedTiddlers.tag || changedTiddlers[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/droppable.js": {
"title": "$:/core/modules/widgets/droppable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tvar domNode = this.document.createElement(tag),\n\t\tclasses = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tdomNode.className = classes.join(\" \");\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t]);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableClass = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/dropzone.js": {
"title": "$:/core/modules/widgets/dropzone.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = \"tc-dropzone\";\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"}\n\t]);\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent = function(event) {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\tif(dataTransfer.files) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\t$tw.utils.importDataTransfer(dataTransfer,this.wiki.generateNewTitle(\"Untitled\"),readFileCallback);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields])});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-binary.js": {
"title": "$:/core/modules/widgets/edit-binary.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Construct the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"transclude\",\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t}\n\t}]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-bitmap.js": {
"title": "$:/core/modules/widgets/edit-bitmap.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370;\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\tif(tiddler) {\n\t\t// data URIs look like \"data:<type>;base64,<text>\"\n\t\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\t\tposColon = dataURL.indexOf(\":\"),\n\t\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\t\tposComma = dataURL.indexOf(\",\"),\n\t\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\t\ttext = dataURL.substring(posComma+1);\n\t\tvar update = {type: type, text: text};\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n\t}\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-shortcut.js": {
"title": "$:/core/modules/widgets/edit-shortcut.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\t\t\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\t\t\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-text.js": {
"title": "$:/core/modules/widgets/edit-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit.js": {
"title": "$:/core/modules/widgets/edit.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: this.editTitle},\n\t\t\tfield: {type: \"string\", value: this.editField},\n\t\t\tindex: {type: \"string\", value: this.editIndex},\n\t\t\t\"class\": {type: \"string\", value: this.editClass},\n\t\t\t\"placeholder\": {type: \"string\", value: this.editPlaceholder}\n\t\t},\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/element.js": {
"title": "$:/core/modules/widgets/element.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Neuter blacklisted elements\n\tvar tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"safe-\" + tag;\n\t}\n\tvar domNode = this.document.createElementNS(this.namespace,tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nElementWidget.prototype.execute = function() {\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.parseTreeNode.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\t// Update our attributes\n\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/encrypt.js": {
"title": "$:/core/modules/widgets/encrypt.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/entity.js": {
"title": "$:/core/modules/widgets/entity.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fieldmangler.js": {
"title": "$:/core/modules/widgets/fieldmangler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fields.js": {
"title": "$:/core/modules/widgets/fields.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\t// Get the exclusion list\n\tvar exclude;\n\tif(this.exclude) {\n\t\texclude = this.exclude.split(\" \");\n\t} else {\n\t\texclude = [\"text\"]; \n\t}\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tfor(var fieldName in tiddler.fields) {\n\t\t\tif(exclude.indexOf(fieldName) === -1) {\n\t\t\t\tfields.push(fieldName);\n\t\t\t}\n\t\t}\n\t\tfields.sort();\n\t\tfor(var f=0; f<fields.length; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tif(exclude.indexOf(fieldName) === -1) {\n\t\t\t\tvar row = this.template,\n\t\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\t\tif(reMatch) {\n\t\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\t\ttext.push(row);\n\t\t\t}\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude || changedAttributes.stripTitlePrefix || changedTiddlers[this.tiddlerTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/image.js": {
"title": "$:/core/modules/widgets/image.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/importvariables.js": {
"title": "$:/core/modules/widgets/importvariables.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar self = this;\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\tvar widgetStackStart,widgetStackEnd;\n\tfunction addWidgetNode(widgetNode) {\n\t\tif(widgetNode) {\n\t\t\tif(!widgetStackStart && !widgetStackEnd) {\n\t\t\t\twidgetStackStart = widgetNode;\n\t\t\t\twidgetStackEnd = widgetNode;\n\t\t\t} else {\n\t\t\t\twidgetStackEnd.children = [widgetNode];\n\t\t\t\twidgetStackEnd = widgetNode;\n\t\t\t}\n\t\t}\n\t}\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = self.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\taddWidgetNode({\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params\n\t\t\t\t});\n\t\t\t\tparseTreeNode = parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\t// Add our own children to the end of the pile\n\tvar parseTreeNodes;\n\tif(widgetStackStart && widgetStackEnd) {\n\t\tparseTreeNodes = [widgetStackStart];\n\t\twidgetStackEnd.children = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/keyboard.js": {
"title": "$:/core/modules/widgets/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.keyboardManager.checkKeyDescriptors(event,self.keyInfoArray)) {\n\t\t\tself.invokeActions(self,event);\n\t\t\tif(self.actions) {\n\t\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t\t}\n\t\t\tself.dispatchMessage(event);\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.key = this.getAttribute(\"key\");\n\tthis.tag = this.getAttribute(\"tag\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/link.js": {
"title": "$:/core/modules/widgets/link.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar MISSING_LINK_CONFIG_TITLE = \"$:/config/MissingLinks\";\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.linkClasses) {\n\t\tclasses.push(this.linkClasses);\n\t}\n\tclasses.push(\"tc-tiddlylink\");\n\tif(this.isShadow) {\n\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t}\n\tif(this.isMissing && !this.isShadow) {\n\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t} else {\n\t\tif(!this.isMissing) {\n\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t}\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",encodeURIComponent(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tdomNode.setAttribute(\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = ($tw.wiki.getTiddlerText(MISSING_LINK_CONFIG_TITLE,\"yes\") === \"no\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip || changedTiddlers[MISSING_LINK_CONFIG_TITLE]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/linkcatcher.js": {
"title": "$:/core/modules/widgets/linkcatcher.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t// This is a navigate event generated by the actions of this linkcatcher, so we don't trap it again, but just pass it to the parent\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: \"tm-navigate\",\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/list.js": {
"title": "$:/core/modules/widgets/list.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar emptyMessage = this.getAttribute(\"emptyMessage\",\"\"),\n\t\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/macrocall.js": {
"title": "$:/core/modules/widgets/macrocall.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar text = this.getVariable(this.parseTreeNode.name || this.getAttribute(\"$name\"),{params: params}),\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\tvar parser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\tparseTreeNodes = parser ? parser.tree : [];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/navigator.js": {
"title": "$:/core/modules/widgets/navigator.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList}\n\t));\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tvar p = storyList.indexOf(title);\n\twhile(p !== -1) {\n\t\tstoryList.splice(p,1);\n\t\tp = storyList.indexOf(title);\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tvar pos = storyList.indexOf(oldTitle);\n\tif(pos !== -1) {\n\t\tstoryList[pos] = newTitle;\n\t\tdo {\n\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\tif(pos !== -1) {\n\t\t\t\tstoryList.splice(pos,1);\n\t\t\t}\n\t\t} while(pos !== -1);\n\t} else {\n\t\tstoryList.splice(0,0,newTitle);\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tvar storyList = this.getStoryList();\n\t// Quit if we cannot get hold of the story list\n\tif(!storyList) {\n\t\treturn;\n\t}\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(title);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(fromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(this.getAttribute(\"openLinkFromInsideRiver\",\"below\")) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,title);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.wiki.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event);\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler(\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle;\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\";\n\t\tc++;\n\t} while(this.wiki.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\nconsole.log(\"Relinking '\" + draftOf + \"' to '\" + draftTitle + \"'\");\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTiddler = this.wiki.getTiddler(IMPORT_TITLE),\n\t\timportData = this.wiki.getTiddlerData(IMPORT_TITLE,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: IMPORT_TITLE,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tif(this.getVariable(\"tv-auto-open-on-import\") !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList.indexOf(IMPORT_TITLE) === -1) {\n\t\t\tstoryList.unshift(IMPORT_TITLE);\n\t\t}\n\t\t// And to history\n\t\thistory.push(IMPORT_TITLE);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddlerFields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\t$tw.wiki.renameTiddler(from,to);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/password.js": {
"title": "$:/core/modules/widgets/password.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/radio.js": {
"title": "$:/core/modules/widgets/radio.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.radioClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(this.getValue() == this.radioValue) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif (this.radioIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex);\n\t} else {\n\t\tvalue = tiddler && tiddler.getFieldString(this.radioField);\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\tif(this.radioClass !== \"\") {\n\t\tthis.radioClass += \" \";\n\t}\n\tthis.radioClass += \"tc-radio\";\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.radioTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue() === this.radioValue;\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/raw.js": {
"title": "$:/core/modules/widgets/raw.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/reveal.js": {
"title": "$:/core/modules/widgets/reveal.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tvar classes = this[\"class\"].split(\" \") || [];\n\tclasses.push(\"tc-reveal\");\n\tdomNode.className = classes.join(\" \");\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tdomNode.style.left = (this.popup.left - domNode.offsetWidth) + \"px\";\n\t\t\tdomNode.style.top = this.popup.top + \"px\";\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tdomNode.style.left = this.popup.left + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top - domNode.offsetHeight) + \"px\";\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tdomNode.style.left = (this.popup.left + this.popup.width) + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top + this.popup.height - domNode.offsetHeight) + \"px\";\n\t\t\tbreak;\n\t\tcase \"right\":\n\t\t\tdomNode.style.left = (this.popup.left + this.popup.width) + \"px\";\n\t\t\tdomNode.style.top = this.popup.top + \"px\";\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tdomNode.style.left = (this.popup.left + this.popup.width - domNode.offsetWidth) + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top + this.popup.height) + \"px\";\n\t\t\tbreak;\n\t\tdefault: // Below\n\t\t\tdomNode.style.left = this.popup.left + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top + this.popup.height) + \"px\";\n\t\t\tbreak;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTitle = this.state;\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state = this.stateTitle ? this.wiki.getTextReference(this.stateTitle,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.readMatchState(state);\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.readMatchState(state);\n\t\t\tthis.isOpen = !this.isOpen;\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.readMatchState = function(state) {\n\tthis.isOpen = state === this.text;\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes[\"default\"] || changedAttributes.animate) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false,\n\t\t\tcurrentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\trefreshed = true;\n\t\t\t}\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n }});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/scrollable.js": {
"title": "$:/core/modules/widgets/scrollable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tthis.scrollIntoView(event.target);\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/select.js": {
"title": "$:/core/modules/widgets/select.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tif(values.indexOf(select.children[i].value) != -1) {\n\t\t\t\tselect.children[i].selected = true;\n\t\t\t}\n\t\t}\n\t\t\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/set.js": {
"title": "$:/core/modules/widgets/set.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler = this.wiki.getTiddler(this.setTiddler);\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(!this.setValue) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\t\t\t\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/text.js": {
"title": "$:/core/modules/widgets/text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/tiddler.js": {
"title": "$:/core/modules/widgets/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/transclude.js": {
"title": "$:/core/modules/widgets/transclude.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tthis.setVariable(\"transclusion\",recursionMarker);\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/vars.js": {
"title": "$:/core/modules/widgets/vars.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/view.js": {
"title": "$:/core/modules/widgets/view.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/widget.js": {
"title": "$:/core/modules/widgets/widget.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tif(arguments.length > 0) {\n\t\tthis.initialise(parseTreeNode,options);\n\t}\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\n*/\nWidget.prototype.setVariable = function(name,value,params) {\n\tthis.variables[name] = {value: value, params: params};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n*/\nWidget.prototype.getVariable = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\tvalue = variable.value;\n\t\t// Substitute any parameters specified in the definition\n\t\tvalue = this.substituteVariableParameters(value,variable.params,actualParams);\n\t\tvalue = this.substituteVariableReferences(value);\n\t\treturn value;\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn this.evaluateMacroModule(name,actualParams,options.defaultValue);\n};\n\nWidget.prototype.substituteVariableParameters = function(text,formalParams,actualParams) {\n\tif(formalParams) {\n\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\tparamInfo, paramValue;\n\t\t// Step through each of the parameters in the macro definition\n\t\tfor(var p=0; p<formalParams.length; p++) {\n\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\tparamInfo = formalParams[p];\n\t\t\tparamValue = undefined;\n\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\tnextAnonParameter++;\n\t\t\t}\n\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t}\n\t\t\t// If we've still not got a value, use the default, if any\n\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t// Replace any instances of this parameter\n\t\t\ttext = $tw.utils.replaceString(text,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(paramInfo.name) + \"\\\\$\",\"mg\"),paramValue);\n\t\t}\n\t}\n\treturn text;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"filtered\") {\n\t\t\tvalue = self.wiki.filterTiddlers(attribute.filter,self)[0] || \"\";\n\t\t} else if(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.render(parent,nextSibling);\n\t});\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar self = this,\n\t\trefreshed = false;\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\trefreshed = childWidget.refresh(changedTiddlers) || refreshed;\n\t});\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction) {\n\t\t\tchild.refreshSelf();\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/wikify.js": {
"title": "$:/core/modules/widgets/wikify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\t\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/wiki-bulkops.js": {
"title": "$:/core/modules/wiki-bulkops.js",
"text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = (tiddler.fields.tags || []).slice(0),\n\t\t\t\t\tlist = (tiddler.fields.list || []).slice(0),\n\t\t\t\t\tisModified = false;\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming tag '\" + tags[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming list item '\" + list[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/wiki.js": {
"title": "$:/core/modules/wiki.js",
"text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type] || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t\t\t\t\t\t\t(isDescending ? y - x : x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\t// Count up the links\n\t\tvar links = [],\n\t\t\tcheckParseTree = function(parseTree) {\n\t\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t};\n\t\tif(parser) {\n\t\t\tcheckParseTree(parser.tree);\n\t\t}\n\t\treturn links;\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinks = [];\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\tbacklinks.push(title);\n\t\t}\n\t});\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\tvar self = this;\n\treturn this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\tvar tagmap = self.getTagMap();\n\t\treturn self.sortByList(tagmap[tag],tag);\n\t});\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tvar currPos = titles.indexOf(title),\n\t\t\t\tnewPos = -1,\n\t\t\t\ttiddler = this.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(newPos === -1) {\n\t\t\t\t\tnewPos = currPos;\n\t\t\t\t}\n\t\t\t\tif(newPos !== currPos) {\n\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t}\n\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t}\n\t\t\t}\n\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type || \"text/vnd.tiddlywiki\",tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title}},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn $tw.wiki.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tliteral: If true, searches for literal string, rather than separate search terms\n\tfield: If specified, restricts the search to the specified field\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tmatch;\n\t\tfor(var t=0; t<searchTermsRegExps.length; t++) {\n\t\t\tmatch = false;\n\t\t\tif(options.field) {\n\t\t\t\tmatch = searchTermsRegExps[t].test(tiddler.getFieldString(options.field));\n\t\t\t} else {\n\t\t\t\t// Search title, tags and body\n\t\t\t\tif(contentTypeInfo.encoding === \"utf8\") {\n\t\t\t\t\tmatch = match || searchTermsRegExps[t].test(tiddler.fields.text);\n\t\t\t\t}\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.join(\"\\0\") : \"\";\n\t\t\t\tmatch = match || searchTermsRegExps[t].test(tags) || searchTermsRegExps[t].test(tiddler.fields.title);\n\t\t\t}\n\t\t\tif(!match) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(tiddler.fields.text !== undefined) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text;\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],Object.assign({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\", type: type};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n})();\n\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/palettes/Blanca": {
"title": "$:/palettes/Blanca",
"name": "Blanca",
"description": "A clean white palette to let you focus",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Blue": {
"title": "$:/palettes/Blue",
"name": "Blue",
"description": "A blue theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Muted": {
"title": "$:/palettes/Muted",
"name": "Muted",
"description": "Bright tiddlers on a muted background",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastLight": {
"title": "$:/palettes/ContrastLight",
"name": "Contrast (Light)",
"description": "High contrast and unambiguous (light version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastDark": {
"title": "$:/palettes/ContrastDark",
"name": "Contrast (Dark)",
"description": "High contrast and unambiguous (dark version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/DarkPhotos": {
"title": "$:/palettes/DarkPhotos",
"created": "20150402111612188",
"description": "Good with dark photo backgrounds",
"modified": "20150402112344080",
"name": "DarkPhotos",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Rocker": {
"title": "$:/palettes/Rocker",
"name": "Rocker",
"description": "A dark theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarFlare": {
"title": "$:/palettes/SolarFlare",
"name": "Solar Flare",
"description": "Warm, relaxing earth colours",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n download-foreground: <<colour background>>\n dragger-foreground: <<colour background>>\n dropdown-background: <<colour background>>\n modal-background: <<colour background>>\n sidebar-foreground-shadow: <<colour background>>\n tiddler-background: <<colour background>>\n tiddler-border: <<colour background>>\n tiddler-link-background: <<colour background>>\n tab-background-selected: <<colour background>>\n dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n dragger-background: <<colour foreground>>\n tab-foreground: <<colour foreground>>\n tab-foreground-selected: <<colour tab-foreground>>\n sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n sidebar-tab-foreground: <<colour tab-foreground>>\n sidebar-button-foreground: <<colour foreground>>\n sidebar-controls-foreground: <<colour foreground>>\n sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n alert-muted-foreground: <<colour base01>>\n: base00\n code-foreground: <<colour base00>>\n message-foreground: <<colour base00>>\n tag-foreground: <<colour base00>>\n: base0\n sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n muted-foreground: <<colour base1>>\n blockquote-bar: <<colour muted-foreground>>\n dropdown-border: <<colour muted-foreground>>\n sidebar-muted-foreground: <<colour muted-foreground>>\n tiddler-title-foreground: <<colour muted-foreground>>\n site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n modal-footer-background: <<colour base2>>\n page-background: <<colour base2>>\n modal-backdrop: <<colour page-background>>\n notification-background: <<colour page-background>>\n code-background: <<colour page-background>>\n code-border: <<colour code-background>>\n pre-background: <<colour page-background>>\n pre-border: <<colour pre-background>>\n sidebar-tab-background-selected: <<colour page-background>>\n table-header-background: <<colour base2>>\n tag-background: <<colour base2>>\n tiddler-editor-background: <<colour base2>>\n tiddler-info-background: <<colour base2>>\n tiddler-info-tab-background: <<colour base2>>\n tab-background: <<colour base2>>\n dropdown-tab-background: <<colour tab-background>>\n: base3\n alert-background: <<colour base3>>\n message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n alert-highlight: <<colour magenta>>\n: violet\n external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n primary: <<colour blue-muted>>\n download-background: <<colour primary>>\n tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n modal-footer-border: <<colour tab-border>>\n modal-header-border: <<colour tab-border>>\n notification-border: <<colour tab-border>>\n sidebar-tab-border: <<colour tab-border>>\n tab-border-selected: <<colour tab-border>>\n sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Vanilla": {
"title": "$:/palettes/Vanilla",
"name": "Vanilla",
"description": "Pale and unobtrusive",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
},
"$:/library/sjcl.js/license": {
"title": "$:/library/sjcl.js/license",
"type": "text/plain",
"text": "SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"
},
"$:/core/templates/MOTW.html": {
"title": "$:/core/templates/MOTW.html",
"text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com --> "
},
"$:/core/templates/alltiddlers.template.html": {
"title": "$:/core/templates/alltiddlers.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
},
"$:/core/templates/canonical-uri-external-image": {
"title": "$:/core/templates/canonical-uri-external-image",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-raw": {
"title": "$:/core/templates/canonical-uri-external-raw",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-text": {
"title": "$:/core/templates/canonical-uri-external-text",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
},
"$:/core/templates/css-tiddler": {
"title": "$:/core/templates/css-tiddler",
"text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
},
"$:/core/templates/exporters/CsvFile": {
"title": "$:/core/templates/exporters/CsvFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/CsvFile}}",
"extension": ".csv",
"text": "\\define renderContent()\n<$text text=<<csvtiddlers filter:\"\"\"$(exportFilter)$\"\"\" format:\"quoted-comma-sep\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/JsonFile": {
"title": "$:/core/templates/exporters/JsonFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/JsonFile}}",
"extension": ".json",
"text": "\\define renderContent()\n<$text text=<<jsontiddlers filter:\"\"\"$(exportFilter)$\"\"\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/StaticRiver": {
"title": "$:/core/templates/exporters/StaticRiver",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/StaticRiver}}",
"extension": ".html",
"text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
},
"$:/core/templates/exporters/StaticRiver/Content": {
"title": "$:/core/templates/exporters/StaticRiver/Content",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n<<renderContent>>\n</$importvariables>\n"
},
"$:/core/templates/exporters/TidFile": {
"title": "$:/core/templates/exporters/TidFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/TidFile}}",
"extension": ".tid",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\"><<renderContent>></$importvariables>"
},
"$:/core/templates/html-div-tiddler": {
"title": "$:/core/templates/html-div-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
},
"$:/core/templates/html-tiddler": {
"title": "$:/core/templates/html-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
},
"$:/core/templates/javascript-tiddler": {
"title": "$:/core/templates/javascript-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
},
"$:/core/templates/json-tiddler": {
"title": "$:/core/templates/json-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"
},
"$:/core/templates/module-tiddler": {
"title": "$:/core/templates/module-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
},
"$:/core/templates/plain-text-tiddler": {
"title": "$:/core/templates/plain-text-tiddler",
"text": "<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/raw-static-tiddler": {
"title": "$:/core/templates/raw-static-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"
},
"$:/core/save/all": {
"title": "$:/core/save/all",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/empty": {
"title": "$:/core/save/empty",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-all": {
"title": "$:/core/save/lazy-all",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-images": {
"title": "$:/core/save/lazy-images",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/templates/single.tiddler.window": {
"title": "$:/core/templates/single.tiddler.window",
"text": "<$set name=\"themeTitle\" value={{$:/view}}>\n\n<$set name=\"tempCurrentTiddler\" value=<<currentTiddler>>>\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$set name=\"currentTiddler\" value=<<tempCurrentTiddler>>>\n\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</$importvariables>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n"
},
"$:/core/templates/split-recipe": {
"title": "$:/core/templates/split-recipe",
"text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
},
"$:/core/templates/static-tiddler": {
"title": "$:/core/templates/static-tiddler",
"text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
},
"$:/core/templates/static.area": {
"title": "$:/core/templates/static.area",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n"
},
"$:/core/templates/static.content": {
"title": "$:/core/templates/static.content",
"text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
},
"$:/core/templates/static.template.css": {
"title": "$:/core/templates/static.template.css",
"text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
},
"$:/core/templates/static.template.html": {
"title": "$:/core/templates/static.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
},
"$:/core/templates/static.tiddler.html": {
"title": "$:/core/templates/static.tiddler.html",
"text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river\">\n`<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>\n</$importvariables>`\n</section>\n</body>\n</html>\n`"
},
"$:/core/templates/store.area.template.html": {
"title": "$:/core/templates/store.area.template.html",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
},
"$:/core/templates/tid-tiddler": {
"title": "$:/core/templates/tid-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/tiddler-metadata": {
"title": "$:/core/templates/tiddler-metadata",
"text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
},
"$:/core/templates/tiddlywiki5.html": {
"title": "$:/core/templates/tiddlywiki5.html",
"text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html>\n<head>\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\">\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}\n</div>\n</body>\n</html>\n"
},
"$:/core/templates/version": {
"title": "$:/core/templates/version",
"text": "<<version>>"
},
"$:/core/templates/wikified-tiddler": {
"title": "$:/core/templates/wikified-tiddler",
"text": "<$transclude />"
},
"$:/core/ui/AboveStory/tw2-plugin-check": {
"title": "$:/core/ui/AboveStory/tw2-plugin-check",
"tags": "$:/tags/AboveStory",
"text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/AdvancedSearch/Filter": {
"title": "$:/core/ui/AdvancedSearch/Filter",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Filter/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}} template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nAre you sure you wish to delete <<resultCount>> tiddler(s)?\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\nDelete these tiddlers\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/export": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Shadows": {
"title": "$:/core/ui/AdvancedSearch/Shadows",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Shadows/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Standard": {
"title": "$:/core/ui/AdvancedSearch/Standard",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Standard/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$set name=\"searchTiddler\" value=\"$:/temp/advancedsearch\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/System": {
"title": "$:/core/ui/AdvancedSearch/System",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/System/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/AdvancedSearch": {
"title": "$:/AdvancedSearch",
"icon": "$:/core/images/advanced-search-button",
"color": "#bbb",
"text": "<div class=\"tc-advanced-search\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" \"$:/core/ui/AdvancedSearch/System\">>\n</div>\n"
},
"$:/core/ui/AlertTemplate": {
"title": "$:/core/ui/AlertTemplate",
"text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/delete-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=\"0hh:0mm:0ss DD MM YYYY\"/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">({{$:/language/Count}}: <$view field=\"count\"/>)</span></$reveal>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
},
"$:/core/ui/BinaryWarning": {
"title": "$:/core/ui/BinaryWarning",
"text": "\\define lingo-base() $:/language/BinaryWarning/\n<div class=\"tc-binary-warning\">\n\n<<lingo Prompt>>\n\n</div>\n"
},
"$:/core/ui/Components/plugin-info": {
"title": "$:/core/ui/Components/plugin-info",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n<div class=\"tc-plugin-info-chunk tc-small-icon\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<h1>\n''<$view field=\"description\"><$view field=\"title\"/></$view>'' $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n</$set>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"
},
"$:/core/ui/Components/tag-link": {
"title": "$:/core/ui/Components/tag-link",
"text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
},
"$:/core/ui/ControlPanel/Advanced": {
"title": "$:/core/ui/ControlPanel/Advanced",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
"text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" \"$:/core/ui/ControlPanel/TiddlerFields\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Appearance": {
"title": "$:/core/ui/ControlPanel/Appearance",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
"text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Theme\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Basics": {
"title": "$:/core/ui/ControlPanel/Basics",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Basics/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\" class=\"tc-edit-texteditor\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" tag=\"textarea\" class=\"tc-edit-texteditor\" default=\"\"/> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Tags\" default=\"\" tag=\"input\"/> |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
},
"$:/core/ui/ControlPanel/EditorTypes": {
"title": "$:/core/ui/ControlPanel/EditorTypes",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/Info": {
"title": "$:/core/ui/ControlPanel/Info",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Info/Caption}}",
"text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Basics\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/KeyboardShortcuts": {
"title": "$:/core/ui/ControlPanel/KeyboardShortcuts",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} style=\"width:auto;\"/> <$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list filter=\"[list[$(shortcutTitle)$!!text]sort[title]]\" variable=\"shortcut\" emptyMessage=\"\"\"\n<div class=\"tc-dropdown-item-plain\">\n//<<lingo NoShortcuts/Caption>>//\n</div>\n\"\"\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip=<<lingo Remove/Hint>>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n×\n</$button>\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n<tr>\n<$list filter=\"[all[tiddlers+shadows][$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">>\n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>prefix[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/LoadedModules": {
"title": "$:/core/ui/ControlPanel/LoadedModules",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
},
"$:/core/ui/ControlPanel/Modals/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
"subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
"text": "\\define install-plugin-button()\n<$button>\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\" emptyMessage=\"\"\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\"\"\">\n{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}\n</$list>\n</$button>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-small-icon\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<h1><$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<<install-plugin-button>>\n</div>\n</div>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\" emptyMessage=\"\"\"{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\"\"\">\n<em>\n{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}\n</em>\n</$list>\n</div>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[description]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$list>\n\\end\n\n\\define close-library-button()\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}} {{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<div class=\"tc-plugin-library\">\n\n!! <$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link>\n\n//<$view field=\"url\"/>//\n\n<$transclude/>\n\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n\n<<display-server-connection>>\n</div>\n</$list>\n\\end\n\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<div>\n<<plugin-library-listing>>\n</div>\n\n</$importvariables>\n"
},
"$:/core/ui/ControlPanel/Palette": {
"title": "$:/core/ui/ControlPanel/Palette",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Palette/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/snippets/paletteeditor}}\n\n</$reveal>\n\n"
},
"$:/core/ui/ControlPanel/Parsing": {
"title": "$:/core/ui/ControlPanel/Parsing",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<<rule>>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"
},
"$:/core/ui/ControlPanel/Plugins/Add/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
"text": "<<display-server-assets language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
"text": "<<display-server-assets plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
"text": "<<display-server-assets theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green\" style=\"background:blue;\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
"text": "<<plugin-table language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
"text": "<<plugin-table plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
"text": "<<plugin-table theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[description]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\">>\n"
},
"$:/core/ui/ControlPanel/Saving/DownloadSaver": {
"title": "$:/core/ui/ControlPanel/Saving/DownloadSaver",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Saving/General": {
"title": "$:/core/ui/ControlPanel/Saving/General",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/General/Caption}}",
"list-before": "",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Saving/TiddlySpot": {
"title": "$:/core/ui/ControlPanel/Saving/TiddlySpot",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define backupURL()\nhttp://$(userName)$.tiddlyspot.com/backup/\n\\end\n\\define backupLink()\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<backupURL>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n|<<lingo Backups>> |<<backupLink>> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>"
},
"$:/core/ui/ControlPanel/Saving": {
"title": "$:/core/ui/ControlPanel/Saving",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Saving/Caption}}",
"text": "{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Saving/General\">>\n</div>\n"
},
"$:/core/buttonstyles/Borderless": {
"title": "$:/core/buttonstyles/Borderless",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
"text": "tc-btn-invisible"
},
"$:/core/buttonstyles/Boxed": {
"title": "$:/core/buttonstyles/Boxed",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
"text": "tc-btn-boxed"
},
"$:/core/buttonstyles/Rounded": {
"title": "$:/core/buttonstyles/Rounded",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
"text": "tc-btn-rounded"
},
"$:/core/ui/ControlPanel/Settings/CamelCase": {
"title": "$:/core/ui/ControlPanel/Settings/CamelCase",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Settings/EditorToolbar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/InfoPanelMode": {
"title": "$:/core/ui/ControlPanel/Settings/InfoPanelMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
"title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n <option value=\"above\"><<lingo \"OpenAbove\">></option>\n <option value=\"below\"><<lingo \"OpenBelow\">></option>\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/MissingLinks": {
"title": "$:/core/ui/ControlPanel/Settings/MissingLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationHistory": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
"title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/TitleLinks": {
"title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings": {
"title": "$:/core/ui/ControlPanel/Settings",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Settings/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ControlPanel/StoryView": {
"title": "$:/core/ui/ControlPanel/StoryView",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
"text": "{{$:/snippets/viewswitcher}}\n"
},
"$:/core/ui/ControlPanel/Theme": {
"title": "$:/core/ui/ControlPanel/Theme",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Theme/Caption}}",
"text": "{{$:/snippets/themeswitcher}}\n"
},
"$:/core/ui/ControlPanel/TiddlerFields": {
"title": "$:/core/ui/ControlPanel/TiddlerFields",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
},
"$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"
},
"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span> <$transclude field=\"caption\"/> -- <i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/ItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"> <$transclude field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude field=\"description\"/></i></span>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/PageControls": {
"title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars": {
"title": "$:/core/ui/ControlPanel/Toolbars",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
"text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" \"$:/state/tabs/controlpanel/toolbars\" \"tc-vertical\">>\n</div>\n"
},
"$:/ControlPanel": {
"title": "$:/ControlPanel",
"icon": "$:/core/images/options-button",
"color": "#bbb",
"text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Info\">>\n</div>\n"
},
"$:/core/ui/DefaultSearchResultList": {
"title": "$:/core/ui/DefaultSearchResultList",
"tags": "$:/tags/SearchResults",
"caption": "{{$:/language/Search/DefaultResults/Caption}}",
"text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[!is[system]search:title{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[!is[system]search{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n\\end\n<<searchResultList>>\n"
},
"$:/core/ui/EditTemplate/body/preview/output": {
"title": "$:/core/ui/EditTemplate/body/preview/output",
"tags": "$:/tags/EditPreview",
"caption": "{{$:/language/EditTemplate/Body/Preview/Type/Output}}",
"text": "<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n"
},
"$:/core/ui/EditTemplate/body/editor": {
"title": "$:/core/ui/EditTemplate/body/editor",
"text": "<$edit\n\n field=\"text\"\n class=\"tc-edit-texteditor\"\n placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n\n><$set\n\n name=\"targetTiddler\"\n value=<<currentTiddler>>\n\n><$list\n\n filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n type=\"nomatch\"\n state=<<config-visibility-title>>\n text=\"hide\"\n class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n mode=\"inline\"\n\n/></$reveal></$list></$set></$edit>\n"
},
"$:/core/ui/EditTemplate/body/toolbar/button": {
"title": "$:/core/ui/EditTemplate/body/toolbar/button",
"text": "\\define toolbar-button-icon()\n<$list\n\n filter=\"[all[current]!has[custom-icon]]\"\n variable=\"no-custom-icon\"\n\n><$transclude\n\n tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n filter={{!!condition}}\n variable=\"list-condition\"\n\n><$wikify\n\n name=\"tooltip-text\"\n text=<<toolbar-button-tooltip>>\n mode=\"inline\"\n output=\"text\"\n\n><$list\n\n filter=\"[all[current]!has[dropdown]]\"\n variable=\"no-dropdown\"\n\n><$button\n\n class=\"tc-btn-invisible $(buttonClasses)$\"\n tooltip=<<tooltip-text>>\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button></$list><$list\n\n filter=\"[all[current]has[dropdown]]\"\n variable=\"dropdown\"\n\n><$set\n\n name=\"dropdown-state\"\n value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$button\n\n popup=<<dropdown-state>>\n class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n selectedClass=\"tc-selected\"\n tooltip=<<tooltip-text>>\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button><$reveal\n\n state=<<dropdown-state>>\n type=\"popup\"\n position=\"below\"\n animate=\"yes\"\n tag=\"span\"\n\n><div\n\n class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n tiddler={{!!dropdown}}\n mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n name=\"buttonClasses\"\n value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"
},
"$:/core/ui/EditTemplate/body": {
"title": "$:/core/ui/EditTemplate/body",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Body/\n\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n<$list filter=\"[is[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\"></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[is[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<div class=\"tc-tiddler-preview\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<div class=\"tc-tiddler-preview-preview\">\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/EditTemplate/controls": {
"title": "$:/core/ui/EditTemplate/controls",
"tags": "$:/tags/EditTemplate",
"text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
},
"$:/core/ui/EditTemplate/fields": {
"title": "$:/core/ui/EditTemplate/fields",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define new-field-inner()\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button>\n<$action-sendmessage $message=\"tm-add-field\" $name=<<name>> $value=<<value>>/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldname\"/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldvalue\"/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n\\end\n\n\\define new-field()\n<$set name=\"name\" value={{$:/temp/newfieldname}}>\n<$set name=\"value\" value={{$:/temp/newfieldvalue}}>\n<<new-field-inner>>\n</$set>\n</$set>\n\\end\n\n<div class=\"tc-edit-fields\">\n<table class=\"tc-edit-fields\">\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}}/>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit\">\n<<lingo Fields/Add/Prompt>>\n</em>\n<span class=\"tc-edit-field-add-name\">\n<$edit-text tiddler=\"$:/temp/newfieldname\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}} focusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\"/>\n</span>\n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"$:/temp/newfieldname\">\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title{$:/temp/newfieldname}sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<<currentField>>\n</$link>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title{$:/temp/newfieldname}sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<<currentField>>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n<span class=\"tc-edit-field-add-value\">\n<$edit-text tiddler=\"$:/temp/newfieldvalue\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\"/>\n</span>\n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</div>\n</$fieldmangler>\n"
},
"$:/core/ui/EditTemplate/shadow": {
"title": "$:/core/ui/EditTemplate/shadow",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
},
"$:/core/ui/EditTemplate/tags": {
"title": "$:/core/ui/EditTemplate/tags",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">×</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}}/>\n\\end\n\n\\define tag-picker-actions()\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}}/>\n</$list>\n</$fieldmangler>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</div>\n"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus=\"true\"/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[is[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n\n\n"
},
"$:/core/ui/EditTemplate/type": {
"title": "$:/core/ui/EditTemplate/type",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n<div class=\"tc-type-selector\"><$fieldmangler>\n<em class=\"tc-edit\"><<lingo Type/Prompt>></em> <$edit-text field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-popup-handle\"/> <$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}</$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]]\"><$link to={{!!name}}><$view field=\"description\"/> (<$view field=\"name\"/>)</$link>\n</$list>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>"
},
"$:/core/ui/EditTemplate": {
"title": "$:/core/ui/EditTemplate",
"text": "\\define actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{$:/temp/NewTagName}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/NewTagName\"/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{$:/temp/newfieldname}} $value={{$:/temp/newfieldvalue}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldname\"/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldvalue\"/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n\\define frame-classes()\ntc-tiddler-frame tc-tiddler-edit-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$\n\\end\n<div class=<<frame-classes>>>\n<$fieldmangler>\n<$set name=\"storyTiddler\" value=<<currentTiddler>>>\n<$keyboard key=\"((cancel-edit-tiddler))\" message=\"tm-cancel-tiddler\">\n<$keyboard key=\"((save-tiddler))\" actions=<<actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$set>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/Buttons/cancel": {
"title": "$:/core/ui/Buttons/cancel",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
"description": "{{$:/language/Buttons/Cancel/Hint}}",
"text": "<$button message=\"tm-cancel-tiddler\" tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/delete": {
"title": "$:/core/ui/Buttons/delete",
"tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
"caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
"description": "{{$:/language/Buttons/Delete/Hint}}",
"text": "<$button message=\"tm-delete-tiddler\" tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save": {
"title": "$:/core/ui/Buttons/save",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
"description": "{{$:/language/Buttons/Save/Hint}}",
"text": "<$fieldmangler><$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param={{$:/temp/NewTagName}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/NewTagName\"/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{$:/temp/newfieldname}} $value={{$:/temp/newfieldvalue}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldname\"/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldvalue\"/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button></$fieldmangler>\n"
},
"$:/core/ui/EditorToolbar/bold": {
"title": "$:/core/ui/EditorToolbar/bold",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/bold",
"caption": "{{$:/language/Buttons/Bold/Caption}}",
"description": "{{$:/language/Buttons/Bold/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((bold))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"
},
"$:/core/ui/EditorToolbar/clear-dropdown": {
"title": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": "''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"
},
"$:/core/ui/EditorToolbar/clear": {
"title": "$:/core/ui/EditorToolbar/clear",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/erase",
"caption": "{{$:/language/Buttons/Clear/Caption}}",
"description": "{{$:/language/Buttons/Clear/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/editor-height-dropdown": {
"title": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"
},
"$:/core/ui/EditorToolbar/editor-height": {
"title": "$:/core/ui/EditorToolbar/editor-height",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/fixed-height",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/EditorHeight/Caption}}",
"description": "{{$:/language/Buttons/EditorHeight/Hint}}",
"condition": "[<targetTiddler>!is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/excise-dropdown": {
"title": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>> <$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\"> <<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>> <$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"
},
"$:/core/ui/EditorToolbar/excise": {
"title": "$:/core/ui/EditorToolbar/excise",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/excise",
"caption": "{{$:/language/Buttons/Excise/Caption}}",
"description": "{{$:/language/Buttons/Excise/Hint}}",
"condition": "[<targetTiddler>!is[image]]",
"shortcuts": "((excise))",
"dropdown": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/heading-1": {
"title": "$:/core/ui/EditorToolbar/heading-1",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-1",
"caption": "{{$:/language/Buttons/Heading1/Caption}}",
"description": "{{$:/language/Buttons/Heading1/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((heading-1))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-2": {
"title": "$:/core/ui/EditorToolbar/heading-2",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-2",
"caption": "{{$:/language/Buttons/Heading2/Caption}}",
"description": "{{$:/language/Buttons/Heading2/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-2))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-3": {
"title": "$:/core/ui/EditorToolbar/heading-3",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-3",
"caption": "{{$:/language/Buttons/Heading3/Caption}}",
"description": "{{$:/language/Buttons/Heading3/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-3))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/core/ui/EditorToolbar/heading-4",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-4",
"caption": "{{$:/language/Buttons/Heading4/Caption}}",
"description": "{{$:/language/Buttons/Heading4/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-4))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/core/ui/EditorToolbar/heading-5",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-5",
"caption": "{{$:/language/Buttons/Heading5/Caption}}",
"description": "{{$:/language/Buttons/Heading5/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-5))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/core/ui/EditorToolbar/heading-6",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-6",
"caption": "{{$:/language/Buttons/Heading6/Caption}}",
"description": "{{$:/language/Buttons/Heading6/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-6))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"
},
"$:/core/ui/EditorToolbar/italic": {
"title": "$:/core/ui/EditorToolbar/italic",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/italic",
"caption": "{{$:/language/Buttons/Italic/Caption}}",
"description": "{{$:/language/Buttons/Italic/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((italic))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"
},
"$:/core/ui/EditorToolbar/line-width-dropdown": {
"title": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/line-width": {
"title": "$:/core/ui/EditorToolbar/line-width",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/line-width",
"caption": "{{$:/language/Buttons/LineWidth/Caption}}",
"description": "{{$:/language/Buttons/LineWidth/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/LineWidth}}/>"
},
"$:/core/ui/EditorToolbar/link-dropdown": {
"title": "$:/core/ui/EditorToolbar/link-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Link/\n\n\\define link-actions()\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"make-link\"\n\ttext={{$(linkTiddler)$}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<searchTiddler>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<linkTiddler>>\n/>\n\\end\n\n\\define external-link()\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(searchTiddler)$}}\n/>\n{{$:/core/images/chevron-right}}\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<searchTiddler>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<linkTiddler>>\n/>\n</$button>\n\\end\n\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" >\n\n<$edit-text tiddler=<<searchTiddler>> type=\"search\" tag=\"input\" focus=\"true\" placeholder={{$:/language/Search/Search}} default=\"\"/>\n<$reveal tag=\"span\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<<external-link>>\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<$action-setfield $tiddler=<<searchTiddler>> text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n\n<$reveal tag=\"div\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<link-actions>> to=<<linkTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>"
},
"$:/core/ui/EditorToolbar/link": {
"title": "$:/core/ui/EditorToolbar/link",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/link",
"caption": "{{$:/language/Buttons/Link/Caption}}",
"description": "{{$:/language/Buttons/Link/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((link))",
"dropdown": "$:/core/ui/EditorToolbar/link-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/list-bullet": {
"title": "$:/core/ui/EditorToolbar/list-bullet",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-bullet",
"caption": "{{$:/language/Buttons/ListBullet/Caption}}",
"description": "{{$:/language/Buttons/ListBullet/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-bullet))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-number": {
"title": "$:/core/ui/EditorToolbar/list-number",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-number",
"caption": "{{$:/language/Buttons/ListNumber/Caption}}",
"description": "{{$:/language/Buttons/ListNumber/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-number))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-block": {
"title": "$:/core/ui/EditorToolbar/mono-block",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-block",
"caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
"description": "{{$:/language/Buttons/MonoBlock/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((mono-block))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-line": {
"title": "$:/core/ui/EditorToolbar/mono-line",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-line",
"caption": "{{$:/language/Buttons/MonoLine/Caption}}",
"description": "{{$:/language/Buttons/MonoLine/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((mono-line))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
},
"$:/core/ui/EditorToolbar/more-dropdown": {
"title": "$:/core/ui/EditorToolbar/more-dropdown",
"text": "\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/> <$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"
},
"$:/core/ui/EditorToolbar/more": {
"title": "$:/core/ui/EditorToolbar/more",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/down-arrow",
"caption": "{{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"condition": "[<targetTiddler>]",
"dropdown": "$:/core/ui/EditorToolbar/more-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/opacity-dropdown": {
"title": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/EditorToolbar/opacity": {
"title": "$:/core/ui/EditorToolbar/opacity",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/opacity",
"caption": "{{$:/language/Buttons/Opacity/Caption}}",
"description": "{{$:/language/Buttons/Opacity/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"
},
"$:/core/ui/EditorToolbar/paint-dropdown": {
"title": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/paint": {
"title": "$:/core/ui/EditorToolbar/paint",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/paint",
"caption": "{{$:/language/Buttons/Paint/Caption}}",
"description": "{{$:/language/Buttons/Paint/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"
},
"$:/core/ui/EditorToolbar/picture-dropdown": {
"title": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": "\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/picture": {
"title": "$:/core/ui/EditorToolbar/picture",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/picture",
"caption": "{{$:/language/Buttons/Picture/Caption}}",
"description": "{{$:/language/Buttons/Picture/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((picture))",
"dropdown": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/preview-type-dropdown": {
"title": "$:/core/ui/EditorToolbar/preview-type-dropdown",
"text": "\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/preview-type": {
"title": "$:/core/ui/EditorToolbar/preview-type",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/chevron-down",
"caption": "{{$:/language/Buttons/PreviewType/Caption}}",
"description": "{{$:/language/Buttons/PreviewType/Hint}}",
"condition": "[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]",
"button-classes": "tc-text-editor-toolbar-item-adjunct",
"dropdown": "$:/core/ui/EditorToolbar/preview-type-dropdown"
},
"$:/core/ui/EditorToolbar/preview": {
"title": "$:/core/ui/EditorToolbar/preview",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/preview-open",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/Preview/Caption}}",
"description": "{{$:/language/Buttons/Preview/Hint}}",
"condition": "[<targetTiddler>]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((preview))",
"text": "<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-open}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"no\"/>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-closed}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"yes\"/>\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/quote": {
"title": "$:/core/ui/EditorToolbar/quote",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/quote",
"caption": "{{$:/language/Buttons/Quote/Caption}}",
"description": "{{$:/language/Buttons/Quote/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((quote))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"
},
"$:/core/ui/EditorToolbar/size-dropdown": {
"title": "$:/core/ui/EditorToolbar/size-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> × <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/> <<lingo Caption/Height>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/> <$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"
},
"$:/core/ui/EditorToolbar/size": {
"title": "$:/core/ui/EditorToolbar/size",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/size",
"caption": "{{$:/language/Buttons/Size/Caption}}",
"description": "{{$:/language/Buttons/Size/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/size-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/stamp-dropdown": {
"title": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$view tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<snippetTitle>> field=\"title\" mode=\"inline\"/>\n\n</$view>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TextEditor/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"
},
"$:/core/ui/EditorToolbar/stamp": {
"title": "$:/core/ui/EditorToolbar/stamp",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/stamp",
"caption": "{{$:/language/Buttons/Stamp/Caption}}",
"description": "{{$:/language/Buttons/Stamp/Hint}}",
"condition": "[<targetTiddler>!is[image]]",
"shortcuts": "((stamp))",
"dropdown": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/strikethrough": {
"title": "$:/core/ui/EditorToolbar/strikethrough",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/strikethrough",
"caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
"description": "{{$:/language/Buttons/Strikethrough/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((strikethrough))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
},
"$:/core/ui/EditorToolbar/subscript": {
"title": "$:/core/ui/EditorToolbar/subscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/subscript",
"caption": "{{$:/language/Buttons/Subscript/Caption}}",
"description": "{{$:/language/Buttons/Subscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((subscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"
},
"$:/core/ui/EditorToolbar/superscript": {
"title": "$:/core/ui/EditorToolbar/superscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/superscript",
"caption": "{{$:/language/Buttons/Superscript/Caption}}",
"description": "{{$:/language/Buttons/Superscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((superscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"
},
"$:/core/ui/EditorToolbar/underline": {
"title": "$:/core/ui/EditorToolbar/underline",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/underline",
"caption": "{{$:/language/Buttons/Underline/Caption}}",
"description": "{{$:/language/Buttons/Underline/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((underline))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"
},
"$:/core/Filters/AllTags": {
"title": "$:/core/Filters/AllTags",
"tags": "$:/tags/Filter",
"filter": "[tags[]!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTags}}",
"text": ""
},
"$:/core/Filters/AllTiddlers": {
"title": "$:/core/Filters/AllTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTiddlers}}",
"text": ""
},
"$:/core/Filters/Drafts": {
"title": "$:/core/Filters/Drafts",
"tags": "$:/tags/Filter",
"filter": "[has[draft.of]sort[title]]",
"description": "{{$:/language/Filters/Drafts}}",
"text": ""
},
"$:/core/Filters/Missing": {
"title": "$:/core/Filters/Missing",
"tags": "$:/tags/Filter",
"filter": "[all[missing]sort[title]]",
"description": "{{$:/language/Filters/Missing}}",
"text": ""
},
"$:/core/Filters/Orphans": {
"title": "$:/core/Filters/Orphans",
"tags": "$:/tags/Filter",
"filter": "[all[orphans]sort[title]]",
"description": "{{$:/language/Filters/Orphans}}",
"text": ""
},
"$:/core/Filters/OverriddenShadowTiddlers": {
"title": "$:/core/Filters/OverriddenShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[shadow]]",
"description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentSystemTiddlers": {
"title": "$:/core/Filters/RecentSystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentSystemTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentTiddlers": {
"title": "$:/core/Filters/RecentTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentTiddlers}}",
"text": ""
},
"$:/core/Filters/ShadowTiddlers": {
"title": "$:/core/Filters/ShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[all[shadows]sort[title]]",
"description": "{{$:/language/Filters/ShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/StoryList": {
"title": "$:/core/Filters/StoryList",
"tags": "$:/tags/Filter",
"filter": "[list[$:/StoryList]] -$:/AdvancedSearch",
"description": "{{$:/language/Filters/StoryList}}",
"text": ""
},
"$:/core/Filters/SystemTags": {
"title": "$:/core/Filters/SystemTags",
"tags": "$:/tags/Filter",
"filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTags}}",
"text": ""
},
"$:/core/Filters/SystemTiddlers": {
"title": "$:/core/Filters/SystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTiddlers}}",
"text": ""
},
"$:/core/Filters/TypedTiddlers": {
"title": "$:/core/Filters/TypedTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Filters/TypedTiddlers}}",
"text": ""
},
"$:/core/ui/ImportListing": {
"title": "$:/core/ui/ImportListing",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define messageField()\nmessage-$(payloadTiddler)$\n\\end\n\n\\define selectionField()\nselection-$(payloadTiddler)$\n\\end\n\n\\define previewPopupState()\n$(currentTiddler)$!!popup-$(payloadTiddler)$\n\\end\n\n\\define select-all-actions()\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n<table>\n<tbody>\n<tr>\n<th>\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\"/>\n</td>\n<td>\n<$reveal type=\"nomatch\" state=<<previewPopupState>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<previewPopupState>> setTo=\"yes\">\n{{$:/core/images/right-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<previewPopupState>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<previewPopupState>> setTo=\"no\">\n{{$:/core/images/down-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n</td>\n</tr>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" state=<<previewPopupState>>>\n<$transclude subtiddler=<<payloadTiddler>> mode=\"block\"/>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ListItemTemplate": {
"title": "$:/core/ui/ListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</div>"
},
"$:/Manager/ItemMain/Fields": {
"title": "$:/Manager/ItemMain/Fields",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/Fields}}",
"text": "<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/Manager/ItemMain/RawText": {
"title": "$:/Manager/ItemMain/RawText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/RawText}}",
"text": "<pre><code><$view/></code></pre>\n"
},
"$:/Manager/ItemMain/WikifiedText": {
"title": "$:/Manager/ItemMain/WikifiedText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/WikifiedText}}",
"text": "<$transclude mode=\"block\"/>\n"
},
"$:/Manager/ItemSidebar/Colour": {
"title": "$:/Manager/ItemSidebar/Colour",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Colour}}",
"text": "\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/> / <$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Icon": {
"title": "$:/Manager/ItemSidebar/Icon",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Icon}}",
"text": "<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall $name=\"image-picker-include-tagged-images\" actions=\"\"\"\n<$action-setfield $field=\"icon\" $value=<<imageTitle>>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/image-picker\">>/>\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tags": {
"title": "$:/Manager/ItemSidebar/Tags",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tags}}",
"text": "\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<p>\n<$list filter=\"[is[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tools": {
"title": "$:/Manager/ItemSidebar/Tools",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tools}}",
"text": "<p>\n<$button to=<<currentTiddler>>>{{$:/core/images/link}} open</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>{{$:/core/images/edit-button}} edit</$button>\n</p>\n"
},
"$:/Manager": {
"title": "$:/Manager",
"icon": "$:/core/images/list",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>> <$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>> <$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>> <$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>> <$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"
},
"$:/core/ui/MissingTemplate": {
"title": "$:/core/ui/MissingTemplate",
"text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
},
"$:/core/ui/MoreSideBar/All": {
"title": "$:/core/ui/MoreSideBar/All",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/All/Caption}}",
"text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Drafts": {
"title": "$:/core/ui/MoreSideBar/Drafts",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Drafts/Caption}}",
"text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Explorer": {
"title": "$:/core/ui/MoreSideBar/Explorer",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Explorer/Caption}}",
"text": "<<tree \"$:/\">>\n"
},
"$:/core/ui/MoreSideBar/Missing": {
"title": "$:/core/ui/MoreSideBar/Missing",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Missing/Caption}}",
"text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Orphans": {
"title": "$:/core/ui/MoreSideBar/Orphans",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Orphans/Caption}}",
"text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" \"$:/core/ui/MoreSideBar/Plugins/Plugins\">>\n"
},
"$:/core/ui/MoreSideBar/Recent": {
"title": "$:/core/ui/MoreSideBar/Recent",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/MoreSideBar/Shadows": {
"title": "$:/core/ui/MoreSideBar/Shadows",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Shadows/Caption}}",
"text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/System": {
"title": "$:/core/ui/MoreSideBar/System",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/System/Caption}}",
"text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Tags": {
"title": "$:/core/ui/MoreSideBar/Tags",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Tags/Caption}}",
"text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
},
"$:/core/ui/MoreSideBar/Types": {
"title": "$:/core/ui/MoreSideBar/Types",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Types/Caption}}",
"text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Languages": {
"title": "$:/core/ui/MoreSideBar/Plugins/Languages",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[language]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins/Plugins",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Theme": {
"title": "$:/core/ui/MoreSideBar/Plugins/Theme",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[theme]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/Buttons/advanced-search": {
"title": "$:/core/ui/Buttons/advanced-search",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
"description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
"text": "\\define control-panel-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/close-all": {
"title": "$:/core/ui/Buttons/close-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
"description": "{{$:/language/Buttons/CloseAll/Hint}}",
"text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/control-panel": {
"title": "$:/core/ui/Buttons/control-panel",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
"description": "{{$:/language/Buttons/ControlPanel/Hint}}",
"text": "\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/encryption": {
"title": "$:/core/ui/Buttons/encryption",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
"description": "{{$:/language/Buttons/Encryption/Hint}}",
"text": "<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>"
},
"$:/core/ui/Buttons/export-page": {
"title": "$:/core/ui/Buttons/export-page",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
"description": "{{$:/language/Buttons/ExportPage/Hint}}",
"text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
},
"$:/core/ui/Buttons/fold-all": {
"title": "$:/core/ui/Buttons/fold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
"description": "{{$:/language/Buttons/FoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/full-screen": {
"title": "$:/core/ui/Buttons/full-screen",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
"description": "{{$:/language/Buttons/FullScreen/Hint}}",
"text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/home": {
"title": "$:/core/ui/Buttons/home",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
"description": "{{$:/language/Buttons/Home/Hint}}",
"text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/import": {
"title": "$:/core/ui/Buttons/import",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
"description": "{{$:/language/Buttons/Import/Hint}}",
"text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
},
"$:/core/ui/Buttons/language": {
"title": "$:/core/ui/Buttons/language",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
"description": "{{$:/language/Buttons/Language/Hint}}",
"text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down tc-drop-down-language-chooser\">\n<$linkcatcher to=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$link>\n<span class=\"tc-drop-down-bullet\">\n<$reveal type=\"match\" state=\"$:/language\" text=<<currentTiddler>>>\n•\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/language\" text=<<currentTiddler>>>\n \n</$reveal>\n</span>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/manager": {
"title": "$:/core/ui/Buttons/manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}",
"description": "{{$:/language/Buttons/Manager/Hint}}",
"text": "\\define manager-button(class)\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Manager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/more-page-actions": {
"title": "$:/core/ui/Buttons/more-page-actions",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-image": {
"title": "$:/core/ui/Buttons/new-image",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}",
"description": "{{$:/language/Buttons/NewImage/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=\"image/jpeg\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewImage/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/new-journal": {
"title": "$:/core/ui/Buttons/new-journal",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
"description": "{{$:/language/Buttons/NewJournal/Hint}}",
"text": "\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<now \"$(journalTitleTemplate)$\">> tags=\"$(journalTags)$\" text=\"$(journalText)$\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags}}>\n<$set name=\"journalText\" value={{$:/config/NewJournal/Text}}>\n<<journalButton>>\n</$set></$set></$set>"
},
"$:/core/ui/Buttons/new-tiddler": {
"title": "$:/core/ui/Buttons/new-tiddler",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
"description": "{{$:/language/Buttons/NewTiddler/Hint}}",
"text": "<$button message=\"tm-new-tiddler\" tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/palette": {
"title": "$:/core/ui/Buttons/palette",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
"description": "{{$:/language/Buttons/Palette/Hint}}",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/print": {
"title": "$:/core/ui/Buttons/print",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}",
"description": "{{$:/language/Buttons/Print/Hint}}",
"text": "<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Print/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/refresh": {
"title": "$:/core/ui/Buttons/refresh",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
"description": "{{$:/language/Buttons/Refresh/Hint}}",
"text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save-wiki": {
"title": "$:/core/ui/Buttons/save-wiki",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
"description": "{{$:/language/Buttons/SaveWiki/Hint}}",
"text": "<$button message=\"tm-save-wiki\" param={{$:/config/SaveWikiButton/Template}} tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
},
"$:/core/ui/Buttons/storyview": {
"title": "$:/core/ui/Buttons/storyview",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
"description": "{{$:/language/Buttons/StoryView/Hint}}",
"text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/view\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$link to=<<storyview>>>\n<span class=\"tc-drop-down-bullet\">\n<$reveal type=\"match\" state=\"$:/view\" text=<<storyview>>>\n•\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/view\" text=<<storyview>>>\n \n</$reveal>\n</span>\n<$transclude tiddler=<<icon>>/>\n<$text text=<<storyview>>/></$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/tag-manager": {
"title": "$:/core/ui/Buttons/tag-manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
"description": "{{$:/language/Buttons/TagManager/Hint}}",
"text": "\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/theme": {
"title": "$:/core/ui/Buttons/theme",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
"description": "{{$:/language/Buttons/Theme/Hint}}",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\" variable=\"themeTitle\">\n<$link to=<<themeTitle>>>\n<span class=\"tc-drop-down-bullet\">\n<$reveal type=\"match\" state=\"$:/theme\" text=<<themeTitle>>>\n•\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/theme\" text=<<themeTitle>>>\n \n</$reveal>\n</span>\n<$view tiddler=<<themeTitle>> field=\"name\"/>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/timestamp": {
"title": "$:/core/ui/Buttons/timestamp",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}",
"description": "{{$:/language/Buttons/Timestamp/Hint}}",
"text": "<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/On/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>"
},
"$:/core/ui/Buttons/unfold-all": {
"title": "$:/core/ui/Buttons/unfold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
"description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/PageTemplate/pagecontrols": {
"title": "$:/core/ui/PageTemplate/pagecontrols",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$reveal>\n</$list>\n</div>\n\n"
},
"$:/core/ui/PageStylesheet": {
"title": "$:/core/ui/PageStylesheet",
"text": "<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n\n</$importvariables>\n"
},
"$:/core/ui/PageTemplate/alerts": {
"title": "$:/core/ui/PageTemplate/alerts",
"tags": "$:/tags/PageTemplate",
"text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
},
"$:/core/ui/PageTemplate/pluginreloadwarning": {
"title": "$:/core/ui/PageTemplate/pluginreloadwarning",
"tags": "$:/tags/PageTemplate",
"text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[has[plugin-type]haschanged[]!plugin-type[import]limit[1]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/PageTemplate/sidebar": {
"title": "$:/core/ui/PageTemplate/sidebar",
"tags": "$:/tags/PageTemplate",
"text": "<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n\n<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n\n{{||$:/core/ui/PageTemplate/pagecontrols}}\n\n<$transclude tiddler=\"$:/core/ui/SideBarLists\" mode=\"inline\"/>\n\n</$reveal>\n\n</div>\n\n</$scrollable>"
},
"$:/core/ui/PageTemplate/story": {
"title": "$:/core/ui/PageTemplate/story",
"tags": "$:/tags/PageTemplate",
"text": "<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template=\"$:/core/ui/ViewTemplate\" editTemplate=\"$:/core/ui/EditTemplate\" storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
},
"$:/core/ui/PageTemplate/topleftbar": {
"title": "$:/core/ui/PageTemplate/topleftbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate/toprightbar": {
"title": "$:/core/ui/PageTemplate/toprightbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate": {
"title": "$:/core/ui/PageTemplate",
"text": "\\define containerClasses()\ntc-page-container tc-page-view-$(themeTitle)$ tc-language-$(languageTitle)$\n\\end\n\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"themeTitle\" value={{$:/view}}>\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$set name=\"currentTiddler\" value=\"\">\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$importvariables>\n"
},
"$:/core/ui/PluginInfo": {
"title": "$:/core/ui/PluginInfo",
"text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"
},
"$:/core/ui/PluginInfo/Default/contents": {
"title": "$:/core/ui/PluginInfo/Default/contents",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n"
},
"$:/core/ui/PluginListItemTemplate": {
"title": "$:/core/ui/PluginListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}>\n<$view field=\"description\">\n<$view field=\"title\"/>\n</$view>\n</$link>\n</div>"
},
"$:/core/ui/SearchResults": {
"title": "$:/core/ui/SearchResults",
"text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n\n</$list>\n\n</div>\n"
},
"$:/core/ui/SideBar/More": {
"title": "$:/core/ui/SideBar/More",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/More/Caption}}",
"text": "<div class=\"tc-more-sidebar\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" \"$:/core/ui/MoreSideBar/Tags\" \"$:/state/tab/moresidebar\" \"tc-vertical\">>\n</div>\n"
},
"$:/core/ui/SideBar/Open": {
"title": "$:/core/ui/SideBar/Open",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Open/Caption}}",
"text": "\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=\"$:/StoryList\" $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" storyview=\"pop\">\n<div style=\"position: relative;\">\n<$droppable actions=<<drop-actions>>>\n<div class=\"tc-droppable-placeholder\">\n \n</div>\n<div>\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini\">×</$button> <$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$droppable>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<drop-actions>>>\n<div class=\"tc-droppable-placeholder\">\n \n</div>\n<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\n</$droppable>\n</$tiddler>\n"
},
"$:/core/ui/SideBar/Recent": {
"title": "$:/core/ui/SideBar/Recent",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/SideBar/Tools": {
"title": "$:/core/ui/SideBar/Tools",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/SideBarLists": {
"title": "$:/core/ui/SideBarLists",
"text": "<div class=\"tc-sidebar-lists\">\n\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search{$(searchTiddler)$}]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$list>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n{{$:/core/ui/SearchResults}}\n\n</$list>\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" />\n\n</div>\n"
},
"$:/TagManager": {
"title": "$:/TagManager",
"icon": "$:/core/images/tag-button",
"color": "#bbb",
"caption": "{{$:/language/TagManager/Caption}}",
"text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/icon/$title$\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/icon/$title$\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$title$!!icon\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define qualifyTitle(title)\n$title$$(currentTiddler)$\n\\end\n\\define toggleButton(state)\n<$reveal state=\"$state$\" type=\"match\" text=\"closed\" default=\"closed\">\n<$button set=\"$state$\" setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal state=\"$state$\" type=\"match\" text=\"open\" default=\"closed\">\n<$button set=\"$state$\" setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td><$macrocall $name=\"tag\" tag=<<currentTiddler>>/></td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state=<<qualifyTitle \"$:/state/tag-manager/\">> /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal state=<<qualifyTitle \"$:/state/tag-manager/\">> type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td>\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
},
"$:/core/ui/TagTemplate": {
"title": "$:/core/ui/TagTemplate",
"text": "<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<hr>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n"
},
"$:/core/ui/TiddlerFieldTemplate": {
"title": "$:/core/ui/TiddlerFieldTemplate",
"text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
},
"$:/core/ui/TiddlerFields": {
"title": "$:/core/ui/TiddlerFields",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
},
"$:/core/ui/TiddlerInfo/Advanced": {
"title": "$:/core/ui/TiddlerInfo/Advanced",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Fields": {
"title": "$:/core/ui/TiddlerInfo/Fields",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
"text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
},
"$:/core/ui/TiddlerInfo/List": {
"title": "$:/core/ui/TiddlerInfo/List",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/List/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Listed": {
"title": "$:/core/ui/TiddlerInfo/Listed",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/References": {
"title": "$:/core/ui/TiddlerInfo/References",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/References/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Tagging": {
"title": "$:/core/ui/TiddlerInfo/Tagging",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Tools": {
"title": "$:/core/ui/TiddlerInfo/Tools",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/TiddlerInfo": {
"title": "$:/core/ui/TiddlerInfo",
"text": "<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>"
},
"$:/core/ui/TopBar/menu": {
"title": "$:/core/ui/TopBar/menu",
"tags": "$:/tags/TopRightBar",
"text": "<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$reveal>\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$reveal>\n"
},
"$:/core/ui/UntaggedTemplate": {
"title": "$:/core/ui/UntaggedTemplate",
"text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/body": {
"title": "$:/core/ui/ViewTemplate/body",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" state=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>"
},
"$:/core/ui/ViewTemplate/classic": {
"title": "$:/core/ui/ViewTemplate/classic",
"tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/import": {
"title": "$:/core/ui/ViewTemplate/import",
"tags": "$:/tags/ViewTemplate",
"text": "\\define lingo-base() $:/language/Import/\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n\n{{||$:/core/ui/ImportListing}}\n\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ViewTemplate/plugin": {
"title": "$:/core/ui/ViewTemplate/plugin",
"tags": "$:/tags/ViewTemplate",
"text": "<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n<$set name=\"plugin-type\" value={{!!plugin-type}}>\n<$set name=\"default-popup-state\" value=\"yes\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n{{||$:/core/ui/Components/plugin-info}}\n</$set>\n</$set>\n</$set>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/subtitle": {
"title": "$:/core/ui/ViewTemplate/subtitle",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" state=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/tags": {
"title": "$:/core/ui/ViewTemplate/tags",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" state=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>"
},
"$:/core/ui/ViewTemplate/title": {
"title": "$:/core/ui/ViewTemplate/title",
"tags": "$:/tags/ViewTemplate",
"text": "\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}/>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo\"/>\n\n</$reveal>\n</div>"
},
"$:/core/ui/ViewTemplate/unfold": {
"title": "$:/core/ui/ViewTemplate/unfold",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" state=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" state=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate": {
"title": "$:/core/ui/ViewTemplate",
"text": "\\define frame-classes()\ntc-tiddler-frame tc-tiddler-view-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$ $(tiddlerTagClasses)$\n\\end\n\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n<$set name=\"storyTiddler\" value=<<currentTiddler>>><$set name=\"tiddlerInfoState\" value=<<qualify \"$:/state/popup/tiddler-info\">>><$tiddler tiddler=<<currentTiddler>>><div class=<<frame-classes>>><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$tiddler></$set></$set>\n"
},
"$:/core/ui/Buttons/clone": {
"title": "$:/core/ui/Buttons/clone",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
"description": "{{$:/language/Buttons/Clone/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close-others": {
"title": "$:/core/ui/Buttons/close-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
"description": "{{$:/language/Buttons/CloseOthers/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close": {
"title": "$:/core/ui/Buttons/close",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
"description": "{{$:/language/Buttons/Close/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/edit": {
"title": "$:/core/ui/Buttons/edit",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
"description": "{{$:/language/Buttons/Edit/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/export-tiddler": {
"title": "$:/core/ui/Buttons/export-tiddler",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
"description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
"text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
},
"$:/core/ui/Buttons/fold-bar": {
"title": "$:/core/ui/Buttons/fold-bar",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}",
"description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
"text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
},
"$:/core/ui/Buttons/fold-others": {
"title": "$:/core/ui/Buttons/fold-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
"description": "{{$:/language/Buttons/FoldOthers/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/fold": {
"title": "$:/core/ui/Buttons/fold",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
"description": "{{$:/language/Buttons/Fold/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" state=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>"
},
"$:/core/ui/Buttons/info": {
"title": "$:/core/ui/Buttons/info",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
"description": "{{$:/language/Buttons/Info/Hint}}",
"text": "\\whitespace trim\n\\define button-content()\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"
},
"$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/core/ui/Buttons/more-tiddler-actions",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-here": {
"title": "$:/core/ui/Buttons/new-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
"description": "{{$:/language/Buttons/NewHere/Hint}}",
"text": "\\whitespace trim\n\\define newHereButtonTags()\n[[$(currentTiddler)$]]\n\\end\n\\define newHereButton()\n<$button tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<newHereButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>"
},
"$:/core/ui/Buttons/new-journal-here": {
"title": "$:/core/ui/Buttons/new-journal-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
"description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
"text": "\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<now \"$(journalTitleTemplate)$\">> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>"
},
"$:/core/ui/Buttons/open-window": {
"title": "$:/core/ui/Buttons/open-window",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
"description": "{{$:/language/Buttons/OpenWindow/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permalink": {
"title": "$:/core/ui/Buttons/permalink",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
"description": "{{$:/language/Buttons/Permalink/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permaview": {
"title": "$:/core/ui/Buttons/permaview",
"tags": "$:/tags/ViewToolbar $:/tags/PageControls",
"caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
"description": "{{$:/language/Buttons/Permaview/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/DefaultTiddlers": {
"title": "$:/DefaultTiddlers",
"text": "GettingStarted\n"
},
"$:/temp/advancedsearch": {
"title": "$:/temp/advancedsearch",
"text": ""
},
"$:/snippets/allfields": {
"title": "$:/snippets/allfields",
"text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
},
"$:/config/AnimationDuration": {
"title": "$:/config/AnimationDuration",
"text": "400"
},
"$:/config/AutoSave": {
"title": "$:/config/AutoSave",
"text": "yes"
},
"$:/config/BitmapEditor/Colour": {
"title": "$:/config/BitmapEditor/Colour",
"text": "#444"
},
"$:/config/BitmapEditor/ImageSizes": {
"title": "$:/config/BitmapEditor/ImageSizes",
"text": "[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"
},
"$:/config/BitmapEditor/LineWidth": {
"title": "$:/config/BitmapEditor/LineWidth",
"text": "3px"
},
"$:/config/BitmapEditor/LineWidths": {
"title": "$:/config/BitmapEditor/LineWidths",
"text": "0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"
},
"$:/config/BitmapEditor/Opacities": {
"title": "$:/config/BitmapEditor/Opacities",
"text": "0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
},
"$:/config/BitmapEditor/Opacity": {
"title": "$:/config/BitmapEditor/Opacity",
"text": "1.0"
},
"$:/config/DefaultSidebarTab": {
"title": "$:/config/DefaultSidebarTab",
"text": "$:/core/ui/SideBar/Open"
},
"$:/config/DownloadSaver/AutoSave": {
"title": "$:/config/DownloadSaver/AutoSave",
"text": "no"
},
"$:/config/Drafts/TypingTimeout": {
"title": "$:/config/Drafts/TypingTimeout",
"text": "400"
},
"$:/config/EditTemplateFields/Visibility/title": {
"title": "$:/config/EditTemplateFields/Visibility/title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/tags": {
"title": "$:/config/EditTemplateFields/Visibility/tags",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/text": {
"title": "$:/config/EditTemplateFields/Visibility/text",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/creator": {
"title": "$:/config/EditTemplateFields/Visibility/creator",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/created": {
"title": "$:/config/EditTemplateFields/Visibility/created",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modified": {
"title": "$:/config/EditTemplateFields/Visibility/modified",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modifier": {
"title": "$:/config/EditTemplateFields/Visibility/modifier",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/type": {
"title": "$:/config/EditTemplateFields/Visibility/type",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.title": {
"title": "$:/config/EditTemplateFields/Visibility/draft.title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.of": {
"title": "$:/config/EditTemplateFields/Visibility/draft.of",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/revision": {
"title": "$:/config/EditTemplateFields/Visibility/revision",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/bag": {
"title": "$:/config/EditTemplateFields/Visibility/bag",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6",
"text": "hide"
},
"$:/config/EditorTypeMappings/image/gif": {
"title": "$:/config/EditorTypeMappings/image/gif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpeg": {
"title": "$:/config/EditorTypeMappings/image/jpeg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpg": {
"title": "$:/config/EditorTypeMappings/image/jpg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/png": {
"title": "$:/config/EditorTypeMappings/image/png",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/x-icon": {
"title": "$:/config/EditorTypeMappings/image/x-icon",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
"title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
"text": "text"
},
"$:/config/Manager/Show": {
"title": "$:/config/Manager/Show",
"text": "tiddlers"
},
"$:/config/Manager/Filter": {
"title": "$:/config/Manager/Filter",
"text": ""
},
"$:/config/Manager/Order": {
"title": "$:/config/Manager/Order",
"text": "forward"
},
"$:/config/Manager/Sort": {
"title": "$:/config/Manager/Sort",
"text": "title"
},
"$:/config/Manager/System": {
"title": "$:/config/Manager/System",
"text": "system"
},
"$:/config/Manager/Tag": {
"title": "$:/config/Manager/Tag",
"text": ""
},
"$:/state/popup/manager/item/$:/Manager/ItemMain/RawText": {
"title": "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText",
"text": "hide"
},
"$:/config/MissingLinks": {
"title": "$:/config/MissingLinks",
"text": "yes"
},
"$:/config/Navigation/UpdateAddressBar": {
"title": "$:/config/Navigation/UpdateAddressBar",
"text": "no"
},
"$:/config/Navigation/UpdateHistory": {
"title": "$:/config/Navigation/UpdateHistory",
"text": "no"
},
"$:/config/OfficialPluginLibrary": {
"title": "$:/config/OfficialPluginLibrary",
"tags": "$:/tags/PluginLibrary",
"url": "https://tiddlywiki.com/library/v5.1.15/index.html",
"caption": "{{$:/language/OfficialPluginLibrary}}",
"text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
},
"$:/config/Navigation/openLinkFromInsideRiver": {
"title": "$:/config/Navigation/openLinkFromInsideRiver",
"text": "below"
},
"$:/config/Navigation/openLinkFromOutsideRiver": {
"title": "$:/config/Navigation/openLinkFromOutsideRiver",
"text": "top"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
"text": "hide"
},
"$:/config/Performance/Instrumentation": {
"title": "$:/config/Performance/Instrumentation",
"text": "no"
},
"$:/config/SaveWikiButton/Template": {
"title": "$:/config/SaveWikiButton/Template",
"text": "$:/core/save/all"
},
"$:/config/SaverFilter": {
"title": "$:/config/SaverFilter",
"text": "[all[]] -[[$:/HistoryList]] -[[$:/StoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Search/AutoFocus": {
"title": "$:/config/Search/AutoFocus",
"text": "true"
},
"$:/config/Search/MinLength": {
"title": "$:/config/Search/MinLength",
"text": "3"
},
"$:/config/SearchResults/Default": {
"title": "$:/config/SearchResults/Default",
"text": "$:/core/ui/DefaultSearchResultList"
},
"$:/config/ShortcutInfo/bold": {
"title": "$:/config/ShortcutInfo/bold",
"text": "{{$:/language/Buttons/Bold/Hint}}"
},
"$:/config/ShortcutInfo/cancel-edit-tiddler": {
"title": "$:/config/ShortcutInfo/cancel-edit-tiddler",
"text": "{{$:/language/Buttons/Cancel/Hint}}"
},
"$:/config/ShortcutInfo/excise": {
"title": "$:/config/ShortcutInfo/excise",
"text": "{{$:/language/Buttons/Excise/Hint}}"
},
"$:/config/ShortcutInfo/heading-1": {
"title": "$:/config/ShortcutInfo/heading-1",
"text": "{{$:/language/Buttons/Heading1/Hint}}"
},
"$:/config/ShortcutInfo/heading-2": {
"title": "$:/config/ShortcutInfo/heading-2",
"text": "{{$:/language/Buttons/Heading2/Hint}}"
},
"$:/config/ShortcutInfo/heading-3": {
"title": "$:/config/ShortcutInfo/heading-3",
"text": "{{$:/language/Buttons/Heading3/Hint}}"
},
"$:/config/ShortcutInfo/heading-4": {
"title": "$:/config/ShortcutInfo/heading-4",
"text": "{{$:/language/Buttons/Heading4/Hint}}"
},
"$:/config/ShortcutInfo/heading-5": {
"title": "$:/config/ShortcutInfo/heading-5",
"text": "{{$:/language/Buttons/Heading5/Hint}}"
},
"$:/config/ShortcutInfo/heading-6": {
"title": "$:/config/ShortcutInfo/heading-6",
"text": "{{$:/language/Buttons/Heading6/Hint}}"
},
"$:/config/ShortcutInfo/italic": {
"title": "$:/config/ShortcutInfo/italic",
"text": "{{$:/language/Buttons/Italic/Hint}}"
},
"$:/config/ShortcutInfo/link": {
"title": "$:/config/ShortcutInfo/link",
"text": "{{$:/language/Buttons/Link/Hint}}"
},
"$:/config/ShortcutInfo/list-bullet": {
"title": "$:/config/ShortcutInfo/list-bullet",
"text": "{{$:/language/Buttons/ListBullet/Hint}}"
},
"$:/config/ShortcutInfo/list-number": {
"title": "$:/config/ShortcutInfo/list-number",
"text": "{{$:/language/Buttons/ListNumber/Hint}}"
},
"$:/config/ShortcutInfo/mono-block": {
"title": "$:/config/ShortcutInfo/mono-block",
"text": "{{$:/language/Buttons/MonoBlock/Hint}}"
},
"$:/config/ShortcutInfo/mono-line": {
"title": "$:/config/ShortcutInfo/mono-line",
"text": "{{$:/language/Buttons/MonoLine/Hint}}"
},
"$:/config/ShortcutInfo/picture": {
"title": "$:/config/ShortcutInfo/picture",
"text": "{{$:/language/Buttons/Picture/Hint}}"
},
"$:/config/ShortcutInfo/preview": {
"title": "$:/config/ShortcutInfo/preview",
"text": "{{$:/language/Buttons/Preview/Hint}}"
},
"$:/config/ShortcutInfo/quote": {
"title": "$:/config/ShortcutInfo/quote",
"text": "{{$:/language/Buttons/Quote/Hint}}"
},
"$:/config/ShortcutInfo/save-tiddler": {
"title": "$:/config/ShortcutInfo/save-tiddler",
"text": "{{$:/language/Buttons/Save/Hint}}"
},
"$:/config/ShortcutInfo/stamp": {
"title": "$:/config/ShortcutInfo/stamp",
"text": "{{$:/language/Buttons/Stamp/Hint}}"
},
"$:/config/ShortcutInfo/strikethrough": {
"title": "$:/config/ShortcutInfo/strikethrough",
"text": "{{$:/language/Buttons/Strikethrough/Hint}}"
},
"$:/config/ShortcutInfo/subscript": {
"title": "$:/config/ShortcutInfo/subscript",
"text": "{{$:/language/Buttons/Subscript/Hint}}"
},
"$:/config/ShortcutInfo/superscript": {
"title": "$:/config/ShortcutInfo/superscript",
"text": "{{$:/language/Buttons/Superscript/Hint}}"
},
"$:/config/ShortcutInfo/underline": {
"title": "$:/config/ShortcutInfo/underline",
"text": "{{$:/language/Buttons/Underline/Hint}}"
},
"$:/config/SyncFilter": {
"title": "$:/config/SyncFilter",
"text": "[is[tiddler]] -[[$:/HistoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/TextEditor/EditorHeight/Height": {
"title": "$:/config/TextEditor/EditorHeight/Height",
"text": "400px"
},
"$:/config/TextEditor/EditorHeight/Mode": {
"title": "$:/config/TextEditor/EditorHeight/Mode",
"text": "auto"
},
"$:/config/TiddlerInfo/Default": {
"title": "$:/config/TiddlerInfo/Default",
"text": "$:/core/ui/TiddlerInfo/Fields"
},
"$:/config/TiddlerInfo/Mode": {
"title": "$:/config/TiddlerInfo/Mode",
"text": "popup"
},
"$:/config/Tiddlers/TitleLinks": {
"title": "$:/config/Tiddlers/TitleLinks",
"text": "no"
},
"$:/config/Toolbar/ButtonClass": {
"title": "$:/config/Toolbar/ButtonClass",
"text": "tc-btn-invisible"
},
"$:/config/Toolbar/Icons": {
"title": "$:/config/Toolbar/Icons",
"text": "yes"
},
"$:/config/Toolbar/Text": {
"title": "$:/config/Toolbar/Text",
"text": "no"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
"text": "show"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
"text": "hide"
},
"$:/config/shortcuts-mac/bold": {
"title": "$:/config/shortcuts-mac/bold",
"text": "meta-B"
},
"$:/config/shortcuts-mac/italic": {
"title": "$:/config/shortcuts-mac/italic",
"text": "meta-I"
},
"$:/config/shortcuts-mac/underline": {
"title": "$:/config/shortcuts-mac/underline",
"text": "meta-U"
},
"$:/config/shortcuts-not-mac/bold": {
"title": "$:/config/shortcuts-not-mac/bold",
"text": "ctrl-B"
},
"$:/config/shortcuts-not-mac/italic": {
"title": "$:/config/shortcuts-not-mac/italic",
"text": "ctrl-I"
},
"$:/config/shortcuts-not-mac/underline": {
"title": "$:/config/shortcuts-not-mac/underline",
"text": "ctrl-U"
},
"$:/config/shortcuts/cancel-edit-tiddler": {
"title": "$:/config/shortcuts/cancel-edit-tiddler",
"text": "escape"
},
"$:/config/shortcuts/excise": {
"title": "$:/config/shortcuts/excise",
"text": "ctrl-E"
},
"$:/config/shortcuts/heading-1": {
"title": "$:/config/shortcuts/heading-1",
"text": "ctrl-1"
},
"$:/config/shortcuts/heading-2": {
"title": "$:/config/shortcuts/heading-2",
"text": "ctrl-2"
},
"$:/config/shortcuts/heading-3": {
"title": "$:/config/shortcuts/heading-3",
"text": "ctrl-3"
},
"$:/config/shortcuts/heading-4": {
"title": "$:/config/shortcuts/heading-4",
"text": "ctrl-4"
},
"$:/config/shortcuts/heading-5": {
"title": "$:/config/shortcuts/heading-5",
"text": "ctrl-5"
},
"$:/config/shortcuts/heading-6": {
"title": "$:/config/shortcuts/heading-6",
"text": "ctrl-6"
},
"$:/config/shortcuts/link": {
"title": "$:/config/shortcuts/link",
"text": "ctrl-L"
},
"$:/config/shortcuts/list-bullet": {
"title": "$:/config/shortcuts/list-bullet",
"text": "ctrl-shift-L"
},
"$:/config/shortcuts/list-number": {
"title": "$:/config/shortcuts/list-number",
"text": "ctrl-shift-N"
},
"$:/config/shortcuts/mono-block": {
"title": "$:/config/shortcuts/mono-block",
"text": "ctrl-shift-M"
},
"$:/config/shortcuts/mono-line": {
"title": "$:/config/shortcuts/mono-line",
"text": "ctrl-M"
},
"$:/config/shortcuts/picture": {
"title": "$:/config/shortcuts/picture",
"text": "ctrl-shift-I"
},
"$:/config/shortcuts/preview": {
"title": "$:/config/shortcuts/preview",
"text": "alt-P"
},
"$:/config/shortcuts/quote": {
"title": "$:/config/shortcuts/quote",
"text": "ctrl-Q"
},
"$:/config/shortcuts/save-tiddler": {
"title": "$:/config/shortcuts/save-tiddler",
"text": "ctrl+enter"
},
"$:/config/shortcuts/stamp": {
"title": "$:/config/shortcuts/stamp",
"text": "ctrl-S"
},
"$:/config/shortcuts/strikethrough": {
"title": "$:/config/shortcuts/strikethrough",
"text": "ctrl-T"
},
"$:/config/shortcuts/subscript": {
"title": "$:/config/shortcuts/subscript",
"text": "ctrl-shift-B"
},
"$:/config/shortcuts/superscript": {
"title": "$:/config/shortcuts/superscript",
"text": "ctrl-shift-P"
},
"$:/config/WikiParserRules/Inline/wikilink": {
"title": "$:/config/WikiParserRules/Inline/wikilink",
"text": "enable"
},
"$:/snippets/currpalettepreview": {
"title": "$:/snippets/currpalettepreview",
"text": "\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch(colour)\n<$set name=\"swatchColour\" value={{##$colour$}}>\n<div class=\"tc-swatch\" style=<<swatchStyle>>/>\n</$set>\n\\end\n<div class=\"tc-swatches-horiz\">\n<<swatch foreground>>\n<<swatch background>>\n<<swatch muted-foreground>>\n<<swatch primary>>\n<<swatch page-background>>\n<<swatch tab-background>>\n<<swatch tiddler-info-background>>\n</div>\n"
},
"$:/snippets/download-wiki-button": {
"title": "$:/snippets/download-wiki-button",
"text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
},
"$:/language": {
"title": "$:/language",
"text": "$:/languages/en-GB"
},
"$:/snippets/languageswitcher": {
"title": "$:/snippets/languageswitcher",
"text": "{{$:/language/ControlPanel/Basics/Language/Prompt}} <$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/core/macros/CSS": {
"title": "$:/core/macros/CSS",
"tags": "$:/tags/Macro",
"text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"/></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n -webkit-box-shadow: $shadow$;\n -moz-box-shadow: $shadow$;\n box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n -webkit-filter: $filter$;\n -moz-filter: $filter$;\n filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n -webkit-transition: $transition$;\n -moz-transition: $transition$;\n transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n -webkit-transform-origin: $origin$;\n -moz-transform-origin: $origin$;\n transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n"
},
"$:/core/macros/colour-picker": {
"title": "$:/core/macros/colour-picker",
"tags": "$:/tags/Macro",
"text": "\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n$actions$\n\n<div style=\"background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n{{$:/language/ColourPicker/Recent}} <$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n<$macrocall $name=\"colour-picker-recent-inner\" actions=\"\"\"$actions$\"\"\"/></$list>\n\\end\n\n\\define colour-picker(actions)\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=\"\"\"$actions$\"\"\"/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/> \n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\n</div>\n\n\\end\n"
},
"$:/core/macros/export": {
"title": "$:/core/macros/export",
"tags": "$:/tags/Macro",
"text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button></span><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=\"\"\"$exportFilter$\"\"\" filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</div>\n</$reveal>\n\\end\n"
},
"$:/core/macros/image-picker": {
"title": "$:/core/macros/image-picker",
"created": "20170715180840889",
"modified": "20170715180914005",
"tags": "$:/tags/Macro",
"type": "text/vnd.tiddlywiki",
"text": "\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\">\n$actions$\n<$transclude tiddler=<<imageTitle>>/>\n</$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n"
},
"$:/core/macros/lingo": {
"title": "$:/core/macros/lingo",
"tags": "$:/tags/Macro",
"text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
},
"$:/core/macros/list": {
"title": "$:/core/macros/list",
"tags": "$:/tags/Macro",
"text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\")\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\">\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n<$type$ class=\"$class$\">\n<$list filter=\"[list[$tiddler$!!$field$]]\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\">\n<div class=\"tc-droppable-placeholder\">\n \n</div>\n<div>\n<$link to={{!!title}}>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$transclude>\n</$link>\n</div>\n</$droppable>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\">\n<div class=\"tc-droppable-placeholder\">\n \n</div>\n<div>\n \n</div>\n</$droppable>\n</$tiddler>\n</$type$>\n</$vars>\n\\end\n\n\\define list-tagged-draggable-drop-actions()\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<tag>tagging[]]\">\n<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n<$list filter=\"[<tag>tagging[]]\">\n<$action-deletefield $field=\"list-before\"/>\n<$action-deletefield $field=\"list-after\"/>\n</$list>\n<!-- Assign the list field of the tag with the current ordering -->\n<$action-setfield $tiddler=<<tag>> $field=\"list\" $value=<<order>>/>\n<!-- Add the newly inserted item to the list -->\n<$action-listops $tiddler=<<tag>> $field=\"list\" $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n<!-- Make sure the newly added item has the right tag -->\n<$action-listops $tiddler=<<actionTiddler>> $tags=\"[<tag>]\"/>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,itemTemplate,elementTag:\"div\")\n<$set name=\"tag\" value=\"\"\"$tag$\"\"\">\n<$list filter=\"[<tag>tagging[]]\">\n<$elementTag$ class=\"tc-menu-list-item\">\n<$droppable actions=<<list-tagged-draggable-drop-actions>>>\n<$elementTag$ class=\"tc-droppable-placeholder\">\n \n</$elementTag$>\n<$elementTag$>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$transclude>\n</$elementTag$>\n</$droppable>\n</$elementTag$>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-tagged-draggable-drop-actions>>>\n<$elementTag$ class=\"tc-droppable-placeholder\">\n \n</$elementTag$>\n<$elementTag$ style=\"height:0.5em;\">\n</$elementTag$>\n</$droppable>\n</$tiddler>\n</$set>\n\\end\n"
},
"$:/core/macros/tabs": {
"title": "$:/core/macros/tabs",
"tags": "$:/tags/Macro",
"text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate)\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<qualify \"$state$\">> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$set></$tiddler></$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<qualify \"$state$\">> text=<<currentTab>> default=\"$default$\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tag-picker": {
"title": "$:/core/macros/tag-picker",
"tags": "$:/tags/Macro",
"text": "\\define add-tag-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{$:/temp/NewTagName}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/NewTagName\"/>\n\\end\n\n\\define tag-button()\n<$button class=\"tc-btn-invisible\" tag=\"a\">\n$(actions)$\n<$action-deletetiddler $tiddler=\"$:/temp/NewTagName\"/>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$button>\n\\end\n\n\\define tag-picker(actions)\n<$set name=\"actions\" value=\"\"\"$actions$\"\"\">\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$keyboard key=\"ENTER\" actions=<<add-tag-actions>>>\n<$edit-text tiddler=\"$:/temp/NewTagName\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\"/>\n</$keyboard>\n</span> <$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <span class=\"tc-add-tag-button\">\n<$set name=\"tag\" value={{$:/temp/NewTagName}}>\n<$button set=\"$:/temp/NewTagName\" setTo=\"\" class=\"\">\n$actions$\n<$action-deletetiddler $tiddler=\"$:/temp/NewTagName\"/>\n{{$:/language/EditTemplate/Tags/Add/Button}}\n</$button>\n</$set>\n</span>\n</div>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$list filter=\"[tags[]!is[system]search:title{$:/temp/NewTagName}sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list>\n<hr>\n<$list filter=\"[tags[]is[system]search:title{$:/temp/NewTagName}sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list>\n</div>\n</$reveal>\n</div>\n</$set>\n\\end\n"
},
"$:/core/macros/tag": {
"title": "$:/core/macros/tag",
"tags": "$:/tags/Macro",
"text": "\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<$element-tag$ $element-attributes$ class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n$actions$<$transclude tiddler=\"\"\"$icon$\"\"\"/> <$view tiddler=\"\"\"$tag$\"\"\" field=\"title\" format=\"text\" />\n</$element-tag$>\n</$vars>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n<$macrocall $name=\"tag-pill-inner\" tag=\"\"\"$tag$\"\"\" icon=\"\"\"$icon$\"\"\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-pill-body\" tag=\"\"\"$tag$\"\"\" icon={{$tag$!!icon}} colour={{$tag$!!color}} palette={{$:/palette}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
},
"$:/core/macros/thumbnails": {
"title": "$:/core/macros/thumbnails",
"tags": "$:/tags/Macro",
"text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
},
"$:/core/macros/timeline": {
"title": "$:/core/macros/timeline",
"created": "20141212105914482",
"modified": "20141212110330815",
"tags": "$:/tags/Macro",
"text": "\\define timeline-title()\n<!-- Override this macro with a global macro \n of the same name if you need to change \n how titles are displayed on the timeline \n -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}>\n<<timeline-title>>\n</$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
},
"$:/core/macros/toc": {
"title": "$:/core/macros/toc",
"tags": "$:/tags/Macro",
"text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n <$transclude field=\"caption\">\n <$view field=\"title\"/>\n </$transclude>\n</$set>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<ol class=\"tc-toc\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag[$tag$]!has[draft.of]$sort$] $exclude$\"\"\">\n <$vars item=<<currentTiddler>> path=\"\"\"$path$/$tag$\"\"\" excluded=\"\"\"$exclude$ -[[$tag$]]\"\"\">\n <$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" emptyValue=\"toc-item\" value=\"toc-item-selected\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link><$view field='caption'><$view field='title'/></$view></$link>\">\n <<toc-caption>>\n </$list>\n <$macrocall $name=\"toc-body\" tag=<<item>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" exclude=<<excluded>> path=<<path>>/>\n </li>\n </$set>\n </$vars>\n </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\" \")\n<<toc-body tag:\"\"\"$tag$\"\"\" sort:\"\"\"$sort$\"\"\" itemClassFilter:\"\"\"$itemClassFilter$\"\"\">>\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$set name=\"toc-state\" value=<<qualify \"\"\"$:/state/toc$path$-$(currentTiddler)$\"\"\">>>\n <$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" emptyValue=\"toc-item\" value=\"toc-item-selected\">\n <li class=<<toc-item-class>>>\n <$link>\n <$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" exclude=\"\"\"$exclude$\"\"\" path=\"\"\"$path$\"\"\"/>\n </$reveal>\n </li>\n </$set>\n</$set>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter:\" \",exclude,path)\n<!-- helper function -->\n<$set name=\"toc-state\" value=<<qualify \"\"\"$:/state/toc$path$-$(currentTiddler)$\"\"\">>>\n <$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" emptyValue=\"toc-item\" value=\"toc-item-selected\">\n <li class=<<toc-item-class>>>\n <$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" exclude=\"\"\"$exclude$\"\"\" path=\"\"\"$path$\"\"\"/>\n </$reveal>\n </li>\n </$set>\n</$set>\n\\end\n\n\\define toc-expandable-empty-message()\n<<toc-linked-expandable-body tag:\"\"\"$(tag)$\"\"\" sort:\"\"\"$(sort)$\"\"\" itemClassFilter:\"\"\"$(itemClassFilter)$\"\"\" exclude:\"\"\"$(excluded)$\"\"\" path:\"\"\"$(path)$\"\"\">>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\" \",exclude,path)\n<$vars tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" excluded=\"\"\"$exclude$ -[[$tag$]]\"\"\" path=\"\"\"$path$/$tag$\"\"\">\n <ol class=\"tc-toc toc-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag[$tag$]!has[draft.of]$sort$] $exclude$\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-expandable-body\" tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n </$list>\n </$list>\n </ol>\n</$vars>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter:\" \",exclude,path)\n<$set name=\"toc-state\" value=<<qualify \"\"\"$:/state/toc$path$-$(currentTiddler)$\"\"\">>>\n <$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" emptyValue=\"toc-item\" value=\"toc-item-selected\" >\n <li class=<<toc-item-class>>>\n <$link>\n <$list filter=\"[all[current]tagging[]limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n <$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n </$list>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" exclude=\"\"\"$exclude$\"\"\" path=\"\"\"$path$\"\"\"/>\n </$reveal>\n </li>\n </$set>\n</$set>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter:\" \",exclude,path)\n<$set name=\"toc-state\" value=<<qualify \"\"\"$:/state/toc$path$-$(currentTiddler)$\"\"\">>>\n <$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" emptyValue=\"toc-item\" value=\"toc-item-selected\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]tagging[]limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n <$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n </$list>\n <$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n <$macrocall $name=\"\"\"toc-selective-expandable\"\"\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" exclude=\"\"\"$exclude$\"\"\" path=\"\"\"$path$\"\"\"/>\n </$reveal>\n </li>\n </$set>\n</$set>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<<toc-linked-selective-expandable-body tag:\"\"\"$(tag)$\"\"\" sort:\"\"\"$(sort)$\"\"\" itemClassFilter:\"\"\"$(itemClassFilter)$\"\"\" exclude:\"\"\"$(excluded)$\"\"\" path:\"\"\"$(path)$\"\"\">>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n<$vars tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" excluded=\"\"\"$exclude$ -[[$tag$]]\"\"\" path=\"\"\"$path$/$tag$\"\"\">\n <ol class=\"tc-toc toc-selective-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag[$tag$]!has[draft.of]$sort$] $exclude$\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n <$macrocall $name=toc-unlinked-selective-expandable-body tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\" exclude=<<excluded>> path=<<path>> >\n </$list>\n </$list>\n </ol>\n</$vars>\n\\end\n\n\\define toc-tabbed-selected-item-filter(selectedTiddler)\n[all[current]field:title{$selectedTiddler$}]\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{$selectedTiddler$}}>\n <div class=\"tc-tabbed-table-of-contents\">\n <$linkcatcher to=\"$selectedTiddler$\">\n <div class=\"tc-table-of-contents\">\n <$macrocall $name=\"toc-selective-expandable\" tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" itemClassFilter=<<toc-tabbed-selected-item-filter selectedTiddler:\"\"\"$selectedTiddler$\"\"\">>/>\n </div>\n </$linkcatcher>\n <div class=\"tc-tabbed-table-of-contents-content\">\n <$reveal state=\"\"\"$selectedTiddler$\"\"\" type=\"nomatch\" text=\"\">\n <$transclude mode=\"block\" tiddler=\"$template$\">\n <h1><<toc-caption>></h1>\n <$transclude mode=\"block\">$missingText$</$transclude>\n </$transclude>\n </$reveal>\n <$reveal state=\"\"\"$selectedTiddler$\"\"\" type=\"match\" text=\"\">\n $unselectedText$\n </$reveal>\n </div>\n </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=\"\"\"$selectedTiddler$\"\"\">\n <$macrocall $name=\"toc-tabbed-external-nav\" tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" selectedTiddler=\"\"\"$selectedTiddler$\"\"\" unselectedText=\"\"\"$unselectedText$\"\"\" missingText=\"\"\"$missingText$\"\"\" template=\"\"\"$template$\"\"\"/>\n</$linkcatcher>\n\\end\n\n"
},
"$:/core/macros/translink": {
"title": "$:/core/macros/translink",
"tags": "$:/tags/Macro",
"text": "\\define translink(title,mode:\"block\")\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: black; foreground; white;\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: white; foreground; black;\">\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"$mode$\">\n\"<$text text=\"\"\"$title$\"\"\"/>\" is missing\n</$transclude>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tree": {
"title": "$:/core/macros/tree",
"tags": "$:/tags/Macro",
"text": "\\define leaf-node(prefix)\n<li>\n<$list filter=\"\"\"[[$prefix$$(chunk)$]is[shadow]] [[$prefix$$(chunk)$]is[tiddler]] +[removeprefix[$prefix$]] +[limit[1]]\"\"\" \nemptyMessage=\"\"\"<$text text=\"$prefix$$(chunk)$\"/>\"\"\">\n<span>{{$:/core/images/file}}</span> <$link to=\"\"\"$prefix$$(chunk)$\"\"\">\n<$view field=\"title\"/>\n</$link> \n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix)\n<$reveal type=\"nomatch\" text=\"\" default=\"\"\"$(chunk)$\"\"\">\n<li> \n<$list filter=\"\"\"[all[shadows+tiddlers]prefix[$prefix$$(chunk)$]] -[[$prefix$$(chunk)$]] +[limit[1]]\"\"\">\n<$reveal type=\"nomatch\" state=\"\"\"$:/state/tree/$prefix$$(chunk)$\"\"\" text=\"show\">\n<$button set=\"\"\"$:/state/tree/$prefix$$(chunk)$\"\"\" setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/folder}} <$text text=\"\"\"$(chunk)$\"\"\"/></$button>\n</$reveal>\n<$reveal type=\"match\" state=\"\"\"$:/state/tree/$prefix$$(chunk)$\"\"\" text=\"show\">\n<$button set=\"\"\"$:/state/tree/$prefix$$(chunk)$\"\"\" setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/folder}} <$text text=\"\"\"$(chunk)$\"\"\"/></$button>\n</$reveal>\n</$list>\n<$list filter=\"\"\"[all[shadows+tiddlers]prefix[$prefix$$(chunk)$]] -[[$prefix$$(chunk)$]] +[limit[1]]\"\"\"><span>(<$count filter=\"\"\"[all[shadows+tiddlers]prefix[$prefix$$(chunk)$]] -[[$prefix$$(chunk)$]]\"\"\"/>)</span>\n<$reveal type=\"match\" state=\"\"\"$:/state/tree/$prefix$$(chunk)$\"\"\" text=\"show\">\n<$macrocall $name=\"tree-node\" prefix=\"\"\"$prefix$$(chunk)$\"\"\"/>\n</$reveal>\n</$list>\n</li>\n</$reveal>\n\\end\n\n\\define tree-node(prefix)\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$prefix$]splitbefore[/]sort[title]] +[!suffix[/]]\" variable=\"chunk\">\n<<leaf-node \"\"\"$prefix$\"\"\">>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$prefix$]splitbefore[/]sort[title]] +[suffix[/]]\" variable=\"chunk\">\n<<branch-node \"\"\"$prefix$\"\"\">>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix)\n<div class=\"tc-tree\">\n<span><$text text=\"\"\"$prefix$\"\"\"/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=\"\"\"$prefix$\"\"\"/>\n</div>\n</div>\n\\end\n"
},
"$:/snippets/minilanguageswitcher": {
"title": "$:/snippets/minilanguageswitcher",
"text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/minithemeswitcher": {
"title": "$:/snippets/minithemeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/modules": {
"title": "$:/snippets/modules",
"text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
},
"$:/palette": {
"title": "$:/palette",
"text": "$:/palettes/Vanilla"
},
"$:/snippets/paletteeditor": {
"title": "$:/snippets/paletteeditor",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<table>\n<tbody>\n<$list filter=\"[all[current]indexes[]]\" variable=\"colourName\">\n<tr>\n<td>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<$edit-text index=<<colourName>> tag=\"input\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n</$set>\n"
},
"$:/snippets/palettepreview": {
"title": "$:/snippets/palettepreview",
"text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n<$transclude tiddler=\"$:/snippets/currpalettepreview\"/>\n</$set>\n"
},
"$:/snippets/paletteswitcher": {
"title": "$:/snippets/paletteswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n<div class=\"tc-prompt\">\n<<lingo Prompt>> <$view tiddler={{$:/palette}} field=\"name\"/>\n</div>\n\n<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[description]]\"><div class=\"tc-chooser-item\"><$link to={{!!title}}><div><$reveal state=\"$:/palette\" type=\"match\" text={{!!title}}>•</$reveal><$reveal state=\"$:/palette\" type=\"nomatch\" text={{!!title}}> </$reveal> ''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/></div><$transclude tiddler=\"$:/snippets/currpalettepreview\"/></$link></div>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/temp/search": {
"title": "$:/temp/search",
"text": ""
},
"$:/tags/AdvancedSearch": {
"title": "$:/tags/AdvancedSearch",
"list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
},
"$:/tags/AdvancedSearch/FilterButton": {
"title": "$:/tags/AdvancedSearch/FilterButton",
"list": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"
},
"$:/tags/ControlPanel": {
"title": "$:/tags/ControlPanel",
"list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
},
"$:/tags/ControlPanel/Info": {
"title": "$:/tags/ControlPanel/Info",
"list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
},
"$:/tags/ControlPanel/Plugins": {
"title": "$:/tags/ControlPanel/Plugins",
"list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
},
"$:/tags/EditTemplate": {
"title": "$:/tags/EditTemplate",
"list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
},
"$:/tags/EditToolbar": {
"title": "$:/tags/EditToolbar",
"list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
},
"$:/tags/EditorToolbar": {
"title": "$:/tags/EditorToolbar",
"list": "$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"
},
"$:/tags/Manager/ItemMain": {
"title": "$:/tags/Manager/ItemMain",
"list": "$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"
},
"$:/tags/Manager/ItemSidebar": {
"title": "$:/tags/Manager/ItemSidebar",
"list": "$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"
},
"$:/tags/MoreSideBar": {
"title": "$:/tags/MoreSideBar",
"list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]",
"text": ""
},
"$:/tags/PageControls": {
"title": "$:/tags/PageControls",
"list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
},
"$:/tags/PageTemplate": {
"title": "$:/tags/PageTemplate",
"list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
"text": ""
},
"$:/tags/SideBar": {
"title": "$:/tags/SideBar",
"list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
"text": ""
},
"$:/tags/TiddlerInfo": {
"title": "$:/tags/TiddlerInfo",
"list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
"text": ""
},
"$:/tags/TiddlerInfo/Advanced": {
"title": "$:/tags/TiddlerInfo/Advanced",
"list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
},
"$:/tags/ViewTemplate": {
"title": "$:/tags/ViewTemplate",
"list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
},
"$:/tags/ViewToolbar": {
"title": "$:/tags/ViewToolbar",
"list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
},
"$:/snippets/themeswitcher": {
"title": "$:/snippets/themeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$view tiddler={{$:/theme}} field=\"name\"/>\n\n<$linkcatcher to=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\"><div><$reveal state=\"$:/theme\" type=\"match\" text={{!!title}}>•</$reveal><$reveal state=\"$:/theme\" type=\"nomatch\" text={{!!title}}> </$reveal> <$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$list>\n</$linkcatcher>"
},
"$:/core/wiki/title": {
"title": "$:/core/wiki/title",
"text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
},
"$:/view": {
"title": "$:/view",
"text": "classic"
},
"$:/snippets/viewswitcher": {
"title": "$:/snippets/viewswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/StoryView/\n<<lingo Prompt>> <$select tiddler=\"$:/view\">\n<$list filter=\"[storyviews[]]\">\n<option><$view field=\"title\"/></option>\n</$list>\n</$select>"
}
}
}
{{Mindfulness Topic Modeling}}
<div class="tc-more-sidebar">
<<tabs "[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]" "$:/core/ui/MoreSideBar/Tags" "$:/state/tab/moresidebar" "tc-vertical">>
</div>
\define lingo-base() $:/language/CloseAll/
\define drop-actions()
<$action-listops $tiddler="$:/StoryList" $subfilter="+[insertbefore:currentTiddler<actionTiddler>]"/>
\end
<$list filter="[list[$:/StoryList]]" history="$:/HistoryList" storyview="pop">
<div style="position: relative;">
<$droppable actions=<<drop-actions>>>
<div class="tc-droppable-placeholder">
</div>
<div>
<$button message="tm-close-tiddler" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class="tc-btn-invisible tc-btn-mini">×</$button> <$link to={{!!title}}><$view field="title"/></$link>
</div>
</$droppable>
</div>
</$list>
<$tiddler tiddler="">
<$droppable actions=<<drop-actions>>>
<div class="tc-droppable-placeholder">
</div>
<$button message="tm-close-all-tiddlers" class="tc-btn-invisible tc-btn-mini"><<lingo Button>></$button>
</$droppable>
</$tiddler>
<$macrocall $name="timeline" format={{$:/language/RecentChanges/DateFormat}}/>
\define lingo-base() $:/language/ControlPanel/
\define config-title()
$:/config/PageControlButtons/Visibility/$(listItem)$
\end
<<lingo Basics/Version/Prompt>> <<version>>
<$set name="tv-config-toolbar-icons" value="yes">
<$set name="tv-config-toolbar-text" value="yes">
<$set name="tv-config-toolbar-class" value="">
<$list filter="[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]" variable="listItem">
<div style="position:relative;" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>
<$checkbox tiddler=<<config-title>> field="text" checked="show" unchecked="hide" default="show"/> <$transclude tiddler=<<listItem>>/> <i class="tc-muted"><$transclude tiddler=<<listItem>> field="description"/></i>
</div>
</$list>
</$set>
</$set>
</$set>
\define frame-classes()
tc-tiddler-frame tc-tiddler-view-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$ $(tiddlerTagClasses)$
\end
\define folded-state()
$:/state/folded/$(currentTiddler)$
\end
<$set name="storyTiddler" value=<<currentTiddler>>><$set name="tiddlerInfoState" value=<<qualify "$:/state/popup/tiddler-info">>><$tiddler tiddler=<<currentTiddler>>><div class=<<frame-classes>>><$list filter="[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]" variable="listItem"><$transclude tiddler=<<listItem>>/></$list>
</div>
</$tiddler></$set></$set>
<$reveal tag="div" class="tc-tiddler-body" type="nomatch" state=<<folded-state>> text="hide" retain="yes" animate="yes">
<$list filter="[all[current]!has[plugin-type]!field:hide-body[yes]]">
<$transclude>
<$transclude tiddler="$:/language/MissingTiddler/Hint"/>
</$transclude>
</$list>
</$reveal>
{
"tiddlers": {
"Untitled 1": {
"title": "Untitled 1",
"text": "https://doi.org/10.1145/2133806.2133826"
}
}
}
$:/palettes/ContrastLight
{
"tiddlers": {
"$:/plugins/tiddlywiki/twitter/macros": {
"title": "$:/plugins/tiddlywiki/twitter/macros",
"tags": "$:/tags/Macro",
"text": "\\define twitter-usage(text)\nFor example:\n\n<$codeblock code=\"\"\"$text$\"\"\"/>\n\nRenders as:\n\n$text$\n\\end\n\n"
},
"$:/plugins/tiddlywiki/twitter/rawmarkup": {
"title": "$:/plugins/tiddlywiki/twitter/rawmarkup",
"tags": "$:/tags/RawMarkup",
"text": "<script>window.twttr = (function(d, s, id) {\n var js, fjs = d.getElementsByTagName(s)[0],\n t = window.twttr || {};\n if (d.getElementById(id)) return t;\n js = d.createElement(s);\n js.id = id;\n js.src = \"https://platform.twitter.com/widgets.js\";\n fjs.parentNode.insertBefore(js, fjs);\n\n t._e = [];\n t.ready = function(f) {\n t._e.push(f);\n };\n\n return t;\n}(document, \"script\", \"twitter-wjs\"));</script>"
},
"$:/plugins/tiddlywiki/twitter/readme": {
"title": "$:/plugins/tiddlywiki/twitter/readme",
"text": "This plugin provides a `<$twitter>` widget that can embed various entities from Twitter's service:\n\n* Individual tweets and conversations\n* Buttons for tweeting/mentioning, sharing, following\n* Various types of timeline: profile, likes, list, collection, url and widget\n\nThe widget only works in the browser, and not in generated static HTML pages.\n"
},
"$:/plugins/tiddlywiki/twitter/widget.js": {
"title": "$:/plugins/tiddlywiki/twitter/widget.js",
"text": "/*\\\ntitle: $:/plugins/tiddlywiki/twitter/widget.js\ntype: application/javascript\nmodule-type: widget\n\nTwitter widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TwitterWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTwitterWidget.prototype = new Widget();\n\nvar optionAttributes = \"align ariaPolite borderColor cards chrome conversation count dnt hashtags height height lang linkColor related size text theme tweetLimit via width\".split(\" \"),\n\totherAttributes = \"hashtag id ownerScreenName screenName slug tweetID type url userId widgetId\".split(\" \"),\n\tallAttributes = Array.prototype.slice.call(optionAttributes,0).concat(otherAttributes);\n\n/*\nRender this widget into the DOM\n*/\nTwitterWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Housekeeping\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\t// Compose the arguments for the tweet call\n\tvar method,\n\t\targ,\n\t\toptions = {};\n\t\t$tw.utils.each(optionAttributes,function(attr) {\n\t\t\toptions[attr] = self.getAttribute(attr);\n\t\t});\n\tswitch(this.getAttribute(\"type\")) {\n\t\tcase \"shareButton\":\n\t\t\tmethod = \"createShareButton\";\n\t\t\targ = this.getAttribute(\"url\");\n\t\t\tbreak;\n\t\tcase \"followButton\":\n\t\t\tmethod = \"createFollowButton\";\n\t\t\targ = this.getAttribute(\"screenName\");\n\t\t\tbreak;\n\t\tcase \"hashtagButton\":\n\t\t\tmethod = \"createHashtagButton\";\n\t\t\targ = this.getAttribute(\"hashtag\");\n\t\t\tbreak;\n\t\tcase \"mentionButton\":\n\t\t\tmethod = \"createMentionButton\";\n\t\t\targ = this.getAttribute(\"screenName\");\n\t\t\tbreak;\n\t\tcase \"tweet\":\n\t\t\tmethod = \"createTweet\";\n\t\t\targ = this.getAttribute(\"tweetID\");\n\t\t\tbreak;\n\t\tcase \"timelineProfile\":\n\t\t\tmethod = \"createTimeline\";\n\t\t\targ = {\n\t\t\t\tsourceType: \"profile\",\n\t\t\t\tscreenName: this.getAttribute(\"screenName\"),\n\t\t\t\tuserId: this.getAttribute(\"userId\")\n\t\t\t};\n\t\t\tbreak;\n\t\tcase \"timelineLikes\":\n\t\t\tmethod = \"createTimeline\";\n\t\t\targ = {\n\t\t\t\tsourceType: \"likes\",\n\t\t\t\tscreenName: this.getAttribute(\"screenName\"),\n\t\t\t\tuserId: this.getAttribute(\"userId\")\n\t\t\t};\n\t\t\tbreak;\n\t\tcase \"timelineList\":\n\t\t\tmethod = \"createTimeline\";\n\t\t\targ = {\n\t\t\t\tsourceType: \"list\",\n\t\t\t\townerScreenName: this.getAttribute(\"ownerScreenName\"),\n\t\t\t\tslug: this.getAttribute(\"slug\"),\n\t\t\t\tid: this.getAttribute(\"id\")\n\t\t\t};\n\t\t\tbreak;\n\t\tcase \"timelineCollection\":\n\t\t\tmethod = \"createTimeline\";\n\t\t\targ = {\n\t\t\t\tsourceType: \"collection\",\n\t\t\t\tid: this.getAttribute(\"id\")\n\t\t\t};\n\t\t\tbreak;\n\t\tcase \"timelineUrl\":\n\t\t\tmethod = \"createTimeline\";\n\t\t\targ = {\n\t\t\t\tsourceType: \"url\",\n\t\t\t\turl: this.getAttribute(\"url\")\n\t\t\t};\n\t\t\tbreak;\n\t\tcase \"timelineWidget\":\n\t\t\tmethod = \"createTimeline\";\n\t\t\targ = {\n\t\t\t\tsourceType: \"widget\",\n\t\t\t\twidgetId: this.getAttribute(\"widgetId\")\n\t\t\t};\n\t\t\tbreak;\n\t}\n\t// Render the tweet into a div\n\tvar div = this.document.createElement(\"div\");\n\tif(!this.document.isTiddlyWikiFakeDom && window.twttr && method) {\n\t\ttwttr.ready(function(twttr) {\n\t\t\twindow.twttr.widgets[method](arg,div,options);\n\t\t});\n\t} else {\n\t\tdiv.appendChild(this.document.createTextNode(\"Can't render tweet\"));\n\t}\n\t// Insert it into the DOM\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTwitterWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(allAttributes.find(function(attr) {\n\t\treturn $tw.utils.hop(changedAttributes,attr);\n\t})) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.twitter = TwitterWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/tiddlywiki/twitter/usage/collectiontimeline": {
"title": "$:/plugins/tiddlywiki/twitter/usage/collectiontimeline",
"tags": "$:/tags/TwitterUsage",
"caption": "Collection Timeline",
"text": "!! Embedding Collection Timelines\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"timelineCollection\" |none |\"timelineCollection\" |\n|''id'' |ID of the collection |none | |\n|''chrome'' |\"noheader\", \"nofooter\", \"noborders\", \"transparent\", \"noscrollbar\" |none |Toggle the display of design elements in the widget. This parameter is a space-separated list of values |\n|''height'' |Positive integer |600 |Set a fixed height of the embedded widget |\n|''tweetLimit'' |Range: 1-20 |none |Render a timeline statically, displaying only n number of Tweets |\n|''borderColor'' |Hexadecimal color |Varies by theme |Adjust the color of borders inside the widget |\n|''ariaPolite'' |\"polite\", \"assertive\", \"rude\" |\"polite\" |Apply the specified aria-polite behavior to the rendered timeline. New Tweets may be added to the top of a timeline, affecting screen readers |\n|''conversation'' |\"none\", \"all\" |\"all\" |Tweets in response to another Tweet will display a compact version of the previous Tweet by default. Use \"none\" to hide the parent Tweet in the conversation |\n|''cards'' |\"hidden\", \"visible\"|visible |Hide photos, videos, and link previews powered by Twitter Cards |\n|''width'' |Positive integer |\"auto\", derived from container size |Set the maximum width of the embedded Tweet |\n|''align''\t|\"left\", \"right\", \"center\"\t|none |Float the embedded Tweet to the left or right so that text wraps around it, or align center so it floats in the middle of a paragraph |\n|''theme'' |\"dark\", \"light\" |\"light\"\t|Toggle the default color scheme of the embedded Tweet |\n|''linkColor'' |Hexadecimal color |\"#2b7bb9\" |Adjust the color of links, including hashtags and @mentions, inside the widget |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"timelineCollection\" id=\"393773266801659904\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/followbutton": {
"title": "$:/plugins/tiddlywiki/twitter/usage/followbutton",
"tags": "$:/tags/TwitterUsage",
"caption": "Follow Button",
"text": "!! Embedding Follow Buttons\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"followButton\" |none |\"followButton\" |\n|''screenName'' |Screen name of the account to be followed |none | |\n|''count'' |\"none\", \"horizontal\" |\"horizontal\" | |\n|''text'' |Any string |none |The default, highlighted text a user sees in the Tweet web intent |\n|''hashtags'' |A comma-separated list of hashtags |none |A list of hashtags to be appended to default Tweet text where appropriate |\n|''align'' |\"left\", \"right\" |locale dependent (left or right, depending on the text direction of the language) |The alignment of the button within an iframe; use this to ensure flush layout when aligning buttons |\n|''size'' |\"medium\", \"large\" |medium |Size of button |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"followButton\" screenName=\"TiddlyWiki\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/hashtagbutton": {
"title": "$:/plugins/tiddlywiki/twitter/usage/hashtagbutton",
"tags": "$:/tags/TwitterUsage",
"caption": "Hashtag Button",
"text": "!! Embedding Hashtag Buttons\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"hashtagButton\" |none |\"hashtagButton\" |\n|''hashtag'' |Hashtag to be tweeted and displayed on the button |none | |\n|''text'' |Any string |none |The default, highlighted text a user sees in the Tweet web intent |\n|''align'' |\"left\", \"right\" |locale dependent (left or right, depending on the text direction of the language) |The alignment of the button within an iframe; use this to ensure flush layout when aligning buttons |\n|''size'' |\"medium\", \"large\" |medium |Size of button |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"hashtagButton\" hashtag=\"TiddlyWiki\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/likestimeline": {
"title": "$:/plugins/tiddlywiki/twitter/usage/likestimeline",
"tags": "$:/tags/TwitterUsage",
"caption": "Likes Timeline",
"text": "!! Embedding Likes Timelines\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"timelineLikes\" |none |\"timelineLikes\" |\n|''screenName'' |Screen name of the account |none |Either ''screenName'' or ''userId'' must be provided |\n|''userId'' |User ID of the account |none |~|\n|''chrome'' |\"noheader\", \"nofooter\", \"noborders\", \"transparent\", \"noscrollbar\" |none |Toggle the display of design elements in the widget. This parameter is a space-separated list of values |\n|''height'' |Positive integer |600 |Set a fixed height of the embedded widget |\n|''tweetLimit'' |Range: 1-20 |none |Render a timeline statically, displaying only n number of Tweets |\n|''borderColor'' |Hexadecimal color |Varies by theme |Adjust the color of borders inside the widget |\n|''ariaPolite'' |\"polite\", \"assertive\", \"rude\" |\"polite\" |Apply the specified aria-polite behavior to the rendered timeline. New Tweets may be added to the top of a timeline, affecting screen readers |\n|''conversation'' |\"none\", \"all\" |\"all\" |Tweets in response to another Tweet will display a compact version of the previous Tweet by default. Use \"none\" to hide the parent Tweet in the conversation |\n|''cards'' |\"hidden\", \"visible\"|visible |Hide photos, videos, and link previews powered by Twitter Cards |\n|''width'' |Positive integer |\"auto\", derived from container size |Set the maximum width of the embedded Tweet |\n|''align''\t|\"left\", \"right\", \"center\"\t|none |Float the embedded Tweet to the left or right so that text wraps around it, or align center so it floats in the middle of a paragraph |\n|''theme'' |\"dark\", \"light\" |\"light\"\t|Toggle the default color scheme of the embedded Tweet |\n|''linkColor'' |Hexadecimal color |\"#2b7bb9\" |Adjust the color of links, including hashtags and @mentions, inside the widget |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"timelineLikes\" screenName=\"tiddlywiki\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/listtimeline": {
"title": "$:/plugins/tiddlywiki/twitter/usage/listtimeline",
"tags": "$:/tags/TwitterUsage",
"caption": "List Timeline",
"text": "!! Embedding List Timelines\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"timelineList\" |none |\"timelineList\" |\n|''ownerScreenName'' |Screen name of the account |none |Either both ''ownerScreenName'' and ''slug'' must be provided, or just ''id'' |\n|''slug'' |The string identifier for a list |none |~|\n|''id'' |ID of the list |none |~|\n|''chrome'' |\"noheader\", \"nofooter\", \"noborders\", \"transparent\", \"noscrollbar\" |none |Toggle the display of design elements in the widget. This parameter is a space-separated list of values |\n|''height'' |Positive integer |600 |Set a fixed height of the embedded widget |\n|''tweetLimit'' |Range: 1-20 |none |Render a timeline statically, displaying only n number of Tweets |\n|''borderColor'' |Hexadecimal color |Varies by theme |Adjust the color of borders inside the widget |\n|''ariaPolite'' |\"polite\", \"assertive\", \"rude\" |\"polite\" |Apply the specified aria-polite behavior to the rendered timeline. New Tweets may be added to the top of a timeline, affecting screen readers |\n|''conversation'' |\"none\", \"all\" |\"all\" |Tweets in response to another Tweet will display a compact version of the previous Tweet by default. Use \"none\" to hide the parent Tweet in the conversation |\n|''cards'' |\"hidden\", \"visible\"|visible |Hide photos, videos, and link previews powered by Twitter Cards |\n|''width'' |Positive integer |\"auto\", derived from container size |Set the maximum width of the embedded Tweet |\n|''align''\t|\"left\", \"right\", \"center\"\t|none |Float the embedded Tweet to the left or right so that text wraps around it, or align center so it floats in the middle of a paragraph |\n|''theme'' |\"dark\", \"light\" |\"light\"\t|Toggle the default color scheme of the embedded Tweet |\n|''linkColor'' |Hexadecimal color |\"#2b7bb9\" |Adjust the color of links, including hashtags and @mentions, inside the widget |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"timelineList\" ownerScreenName=\"isaach\" slug=\"home-timeline\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/mentionbutton": {
"title": "$:/plugins/tiddlywiki/twitter/usage/mentionbutton",
"tags": "$:/tags/TwitterUsage",
"caption": "Mention Button",
"text": "!! Embedding Mention Buttons\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"mentionButton\" |none |\"mentionButton\" |\n|''screenName'' |Screen name of the account to be mentioned |none | |\n|''text'' |Any string |none |The default, highlighted text a user sees in the Tweet web intent |\n|''hashtags'' |A comma-separated list of hashtags |none |A list of hashtags to be appended to default Tweet text where appropriate |\n|''align'' |\"left\", \"right\" |locale dependent (left or right, depending on the text direction of the language) |The alignment of the button within an iframe; use this to ensure flush layout when aligning buttons |\n|''size'' |\"medium\", \"large\" |medium |Size of button |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"mentionButton\" screenName=\"TiddlyWiki\"/>\n\"\"\">>"
},
"$:/plugins/tiddlywiki/twitter/usage/profiletimeline": {
"title": "$:/plugins/tiddlywiki/twitter/usage/profiletimeline",
"tags": "$:/tags/TwitterUsage",
"caption": "Profile Timeline",
"text": "!! Embedding Profile Timelines\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"timelineProfile\" |none |\"timelineProfile\" |\n|''screenName'' |Screen name of the account |none |Either ''screenName'' or ''userId'' must be provided |\n|''userId'' |User ID of the account |none |~|\n|''chrome'' |\"noheader\", \"nofooter\", \"noborders\", \"transparent\", \"noscrollbar\" |none |Toggle the display of design elements in the widget. This parameter is a space-separated list of values |\n|''height'' |Positive integer |600 |Set a fixed height of the embedded widget |\n|''tweetLimit'' |Range: 1-20 |none |Render a timeline statically, displaying only n number of Tweets |\n|''borderColor'' |Hexadecimal color |Varies by theme |Adjust the color of borders inside the widget |\n|''ariaPolite'' |\"polite\", \"assertive\", \"rude\" |\"polite\" |Apply the specified aria-polite behavior to the rendered timeline. New Tweets may be added to the top of a timeline, affecting screen readers |\n|''conversation'' |\"none\", \"all\" |\"all\" |Tweets in response to another Tweet will display a compact version of the previous Tweet by default. Use \"none\" to hide the parent Tweet in the conversation |\n|''cards'' |\"hidden\", \"visible\"|visible |Hide photos, videos, and link previews powered by Twitter Cards |\n|''width'' |Positive integer |\"auto\", derived from container size |Set the maximum width of the embedded Tweet |\n|''align''\t|\"left\", \"right\", \"center\"\t|none |Float the embedded Tweet to the left or right so that text wraps around it, or align center so it floats in the middle of a paragraph |\n|''theme'' |\"dark\", \"light\" |\"light\"\t|Toggle the default color scheme of the embedded Tweet |\n|''linkColor'' |Hexadecimal color |\"#2b7bb9\" |Adjust the color of links, including hashtags and @mentions, inside the widget |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"timelineProfile\" screenName=\"tiddlywiki\"/>\n\"\"\">>\n\n"
},
"$:/plugins/tiddlywiki/twitter/usage/sharebutton": {
"title": "$:/plugins/tiddlywiki/twitter/usage/sharebutton",
"tags": "$:/tags/TwitterUsage",
"caption": "Share Button",
"text": "!! Embedding Share Buttons\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"shareButton\" |none |\"shareButton\" |\n|''url'' |The URL to be shared |none | |\n|''text'' |Any string |none |The default, highlighted text a user sees in the Tweet web intent |\n|''hashtags'' |A comma-separated list of hashtags |none |A list of hashtags to be appended to default Tweet text where appropriate |\n|''align'' |\"left\", \"right\" |locale dependent (left or right, depending on the text direction of the language) |The alignment of the button within an iframe; use this to ensure flush layout when aligning buttons |\n|''size'' |\"medium\", \"large\" |medium |Size of button |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"shareButton\" url=\"https://tiddlywiki.com/\" text=\"Mind blown!\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/tweet": {
"title": "$:/plugins/tiddlywiki/twitter/usage/tweet",
"tags": "$:/tags/TwitterUsage",
"caption": "Tweet",
"text": "!! Embedding Tweets\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"tweet\" |none |\"tweet\" |\n|''tweetID'' |ID of the tweet to render |none | |\n|''conversation'' |\"none\", \"all\" |\"all\" |Tweets in response to another Tweet will display a compact version of the previous Tweet by default. Use \"none\" to hide the parent Tweet in the conversation |\n|''cards'' |\"hidden\", \"visible\"|visible |Hide photos, videos, and link previews powered by Twitter Cards |\n|''width'' |Positive integer |\"auto\", derived from container size |Set the maximum width of the embedded Tweet |\n|''align''\t|\"left\", \"right\", \"center\"\t|none |Float the embedded Tweet to the left or right so that text wraps around it, or align center so it floats in the middle of a paragraph |\n|''theme'' |\"dark\", \"light\" |\"light\"\t|Toggle the default color scheme of the embedded Tweet |\n|''linkColor'' |Hexadecimal color |\"#2b7bb9\" |Adjust the color of links, including hashtags and @mentions, inside the widget |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |true, false |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"tweet\" tweetID=\"750677030589587456\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/urltimeline": {
"title": "$:/plugins/tiddlywiki/twitter/usage/urltimeline",
"tags": "$:/tags/TwitterUsage",
"caption": "Url Timeline",
"text": "!! Embedding Profile Timelines\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"timelineUrl\" |none |\"timelineUrl\" |\n|''url'' |Absolute URL of a Twitter profile, likes, list, or collection |none | |\n|''chrome'' |\"noheader\", \"nofooter\", \"noborders\", \"transparent\", \"noscrollbar\" |none |Toggle the display of design elements in the widget. This parameter is a space-separated list of values |\n|''height'' |Positive integer |600 |Set a fixed height of the embedded widget |\n|''tweetLimit'' |Range: 1-20 |none |Render a timeline statically, displaying only n number of Tweets |\n|''borderColor'' |Hexadecimal color |Varies by theme |Adjust the color of borders inside the widget |\n|''ariaPolite'' |\"polite\", \"assertive\", \"rude\" |\"polite\" |Apply the specified aria-polite behavior to the rendered timeline. New Tweets may be added to the top of a timeline, affecting screen readers |\n|''conversation'' |\"none\", \"all\" |\"all\" |Tweets in response to another Tweet will display a compact version of the previous Tweet by default. Use \"none\" to hide the parent Tweet in the conversation |\n|''cards'' |\"hidden\", \"visible\"|visible |Hide photos, videos, and link previews powered by Twitter Cards |\n|''width'' |Positive integer |\"auto\", derived from container size |Set the maximum width of the embedded Tweet |\n|''align''\t|\"left\", \"right\", \"center\"\t|none |Float the embedded Tweet to the left or right so that text wraps around it, or align center so it floats in the middle of a paragraph |\n|''theme'' |\"dark\", \"light\" |\"light\"\t|Toggle the default color scheme of the embedded Tweet |\n|''linkColor'' |Hexadecimal color |\"#2b7bb9\" |Adjust the color of links, including hashtags and @mentions, inside the widget |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"timelineUrl\" url=\"https://twitter.com/TiddlyWiki\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage/widgettimeline": {
"title": "$:/plugins/tiddlywiki/twitter/usage/widgettimeline",
"tags": "$:/tags/TwitterUsage",
"caption": "Widget Timeline",
"text": "!! Embedding Widget Timelines\n\nTo power an embedded timeline with a widget configuration generated at https://twitter.com/settings/widgets.\n\n|!Attribute |!Values |!Default |!Notes |\n|''type'' |\"timelineWidget\" |none |\"timelineWidget\" |\n|''widgetId'' |ID of the widget |none |~|\n|''chrome'' |\"noheader\", \"nofooter\", \"noborders\", \"transparent\", \"noscrollbar\" |none |Toggle the display of design elements in the widget. This parameter is a space-separated list of values |\n|''height'' |Positive integer |600 |Set a fixed height of the embedded widget |\n|''tweetLimit'' |Range: 1-20 |none |Render a timeline statically, displaying only n number of Tweets |\n|''borderColor'' |Hexadecimal color |Varies by theme |Adjust the color of borders inside the widget |\n|''ariaPolite'' |\"polite\", \"assertive\", \"rude\" |\"polite\" |Apply the specified aria-polite behavior to the rendered timeline. New Tweets may be added to the top of a timeline, affecting screen readers |\n|''conversation'' |\"none\", \"all\" |\"all\" |Tweets in response to another Tweet will display a compact version of the previous Tweet by default. Use \"none\" to hide the parent Tweet in the conversation |\n|''cards'' |\"hidden\", \"visible\"|visible |Hide photos, videos, and link previews powered by Twitter Cards |\n|''width'' |Positive integer |\"auto\", derived from container size |Set the maximum width of the embedded Tweet |\n|''align''\t|\"left\", \"right\", \"center\"\t|none |Float the embedded Tweet to the left or right so that text wraps around it, or align center so it floats in the middle of a paragraph |\n|''theme'' |\"dark\", \"light\" |\"light\"\t|Toggle the default color scheme of the embedded Tweet |\n|''linkColor'' |Hexadecimal color |\"#2b7bb9\" |Adjust the color of links, including hashtags and @mentions, inside the widget |\n|''lang'' |An ISO 639-1 language code |en |The language in which to render a widget, if supported |\n|''dnt'' |\"true\", \"false\" |false |Enable Do Not Track for this widget |\n|''related'' |Any comma-separated list of valid Twitter screen names |none |A list of Twitter screen names to be suggested for following after a Tweet or Tweet action is posted |\n|''via'' |Any valid Twitter screen name |none |A Twitter user mentioned in the default Tweet text as via @user where appropriate |\n\n<<twitter-usage \"\"\"<$twitter type=\"timelineWidget\" widgetId=\"570670821065379840\"/>\n\"\"\">>\n"
},
"$:/plugins/tiddlywiki/twitter/usage": {
"title": "$:/plugins/tiddlywiki/twitter/usage",
"text": "The `<$twitter>` widget can be used to embed several different entities:\n\n<$macrocall $name=\"tabs\" state=<<qualify \"$:/state/twitter/usage\">> tabsList=\"[all[tiddlers+shadows]tag[$:/tags/TwitterUsage]]\" default=\"$:/plugins/tiddlywiki/twitter/usage/tweet\" class=\"tc-vertical\"/>\n"
}
}
}
<$twitter type="shareButton" text="Scoping review of mindfulness research: A topic modelling approach. #mindfulnesstm2017 https://doi.org/10.1007/s12671-019-01136-4"/>
Mindfulness Topic Modelling 2017<br>
$:/core/ui/AdvancedSearch/Shadows
$:/core/ui/ControlPanel/Palette
$:/core/ui/ControlPanel/Basics
$:/core/ui/ControlPanel/Plugins/Installed/Plugins
$:/core/ui/ControlPanel/LoadedModules
$:/core/ui/TiddlerInfo/Listed
$:/core/ui/ControlPanel/Info
$:/core/ui/ControlPanel/Saving/General
$:/core/ui/ControlPanel/Toolbars/ViewToolbar
$:/plugins/tiddlywiki/twitter/usage/followbutton
{
"tiddlers": {
"$:/info/browser": {
"title": "$:/info/browser",
"text": "yes"
},
"$:/info/node": {
"title": "$:/info/node",
"text": "no"
},
"$:/info/url/full": {
"title": "$:/info/url/full",
"text": "file:///C:/Users/yhkee/Desktop/Mindfulness_TM_2017.html"
},
"$:/info/url/host": {
"title": "$:/info/url/host",
"text": ""
},
"$:/info/url/hostname": {
"title": "$:/info/url/hostname",
"text": ""
},
"$:/info/url/protocol": {
"title": "$:/info/url/protocol",
"text": "file:"
},
"$:/info/url/port": {
"title": "$:/info/url/port",
"text": ""
},
"$:/info/url/pathname": {
"title": "$:/info/url/pathname",
"text": "/C:/Users/yhkee/Desktop/Mindfulness_TM_2017.html"
},
"$:/info/url/search": {
"title": "$:/info/url/search",
"text": ""
},
"$:/info/url/origin": {
"title": "$:/info/url/origin",
"text": "file://"
}
}
}
$:/themes/tiddlywiki/snowwhite
{
"tiddlers": {
"$:/themes/tiddlywiki/snowwhite/base": {
"title": "$:/themes/tiddlywiki/snowwhite/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
}
}
}
{
"tiddlers": {
"$:/themes/tiddlywiki/vanilla/themetweaks": {
"title": "$:/themes/tiddlywiki/vanilla/themetweaks",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}",
"text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
},
"$:/themes/tiddlywiki/vanilla/base": {
"title": "$:/themes/tiddlywiki/vanilla/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tpadding: 14px;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n border-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n left: -50px;\n top: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n right: -80px;\n bottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: normal;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n cursor: pointer;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 400;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour tag-foreground>>;\n\tvertical-align: text-bottom;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.2em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-tiddler-missing .tc-title {\n font-style: italic;\n font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n height: 1.2em;\n width: 1.2em;\n margin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tbackground-color: <<colour tiddler-editor-background>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 49%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-preview .tc-edit-texteditor {\n\twidth: 49%;\n}\n\n.tc-tiddler-frame .tc-tiddler-preview canvas.tc-edit-bitmapeditor {\n\tmax-width: 49%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name {\n\tdisplay: inline-block;\n\twidth: 15%;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n\twidth: 40%;\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down-language-chooser img {\n\twidth: 2em;\n\tvertical-align: baseline;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n width: auto;\n margin-bottom: 0px;\n border-bottom-left-radius: 0;\n border-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n display: block;\n width: 100%;\n text-align: left;\t\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n flex: 1 0;\n background: <<colour tiddler-editor-background>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n white-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n background: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n padding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n flex: 3 1;\n border-left: 0.5em solid <<colour muted-foreground>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tmax-width: 500px;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 28px;\n\tpadding: 14px 14px 14px 14px;\n\tborder: 2px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 14px;\n\tright: 14px;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: block;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground-colour: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info-chunk {\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-plugin-info-chunk h1 {\n\tfont-size: 1em;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk h2 {\n\tfont-size: 0.8em;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk div {\n\tfont-size: 0.7em;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info:hover > .tc-plugin-info-chunk > img, .tc-plugin-info:hover > .tc-plugin-info-chunk > svg {\n\twidth: 2em;\n\theight: 2em;\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info > .tc-plugin-info-chunk > img, .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\twidth: 2em;\n\theight: 2em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-plugin-info.tc-small-icon > .tc-plugin-info-chunk > img, .tc-plugin-info.tc-small-icon > .tc-plugin-info-chunk > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 1em 1em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n vertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder: 1px solid <<colour table-border>>;\n}\n\n.tc-chooser-item {\n\tborder: 8px;\n\tpadding: 2px 4px;\n}\n\n.tc-chooser-item a.tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tcolor: <<colour tiddler-link-foreground>>;\n\tbackground-color: <<colour tiddler-link-background>>;\n}\n\n.tc-chooser-item a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n \tpadding-left: 14px;\n}\n\n.tc-tree ol {\n \tlist-style-type: none;\n \tpadding-left: 0;\n \tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n \tpadding-left: 1em; \n}\n\n.tc-tree button { \n \tcolor: #acacac;\n}\n\n.tc-tree svg {\n \tfill: #acacac;\n}\n\n.tc-tree span svg {\n \twidth: 1em;\n \theight: 1em;\n \tvertical-align: baseline;\n}\n\n.tc-tree li span {\n \tcolor: lightgray;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
"text": "15px"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
"text": "22px"
},
"$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
"text": "14px"
},
"$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
"text": "20px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storytop": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyright": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
"text": "686px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
"text": "960px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
"text": "350px"
},
"$:/themes/tiddlywiki/vanilla/options/stickytitles": {
"title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
"text": "no"
},
"$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
"title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
"text": "fixed-fluid"
},
"$:/themes/tiddlywiki/vanilla/options/codewrapping": {
"title": "$:/themes/tiddlywiki/vanilla/options/codewrapping",
"text": "pre-wrap"
},
"$:/themes/tiddlywiki/vanilla/reset": {
"title": "$:/themes/tiddlywiki/vanilla/reset",
"type": "text/plain",
"text": "/*! normalize.css v3.0.0 | MIT License | git.io/normalize */\n\n/**\n * 1. Set default font family to sans-serif.\n * 2. Prevent iOS text size adjust after orientation change, without disabling\n * user zoom.\n */\n\nhtml {\n font-family: sans-serif; /* 1 */\n -ms-text-size-adjust: 100%; /* 2 */\n -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/**\n * Remove default margin.\n */\n\nbody {\n margin: 0;\n}\n\n/* HTML5 display definitions\n ========================================================================== */\n\n/**\n * Correct `block` display not defined in IE 8/9.\n */\n\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nnav,\nsection,\nsummary {\n display: block;\n}\n\n/**\n * 1. Correct `inline-block` display not defined in IE 8/9.\n * 2. Normalize vertical alignment of `progress` in Chrome, Firefox, and Opera.\n */\n\naudio,\ncanvas,\nprogress,\nvideo {\n display: inline-block; /* 1 */\n vertical-align: baseline; /* 2 */\n}\n\n/**\n * Prevent modern browsers from displaying `audio` without controls.\n * Remove excess height in iOS 5 devices.\n */\n\naudio:not([controls]) {\n display: none;\n height: 0;\n}\n\n/**\n * Address `[hidden]` styling not present in IE 8/9.\n * Hide the `template` element in IE, Safari, and Firefox < 22.\n */\n\n[hidden],\ntemplate {\n display: none;\n}\n\n/* Links\n ========================================================================== */\n\n/**\n * Remove the gray background color from active links in IE 10.\n */\n\na {\n background: transparent;\n}\n\n/**\n * Improve readability when focused and also mouse hovered in all browsers.\n */\n\na:active,\na:hover {\n outline: 0;\n}\n\n/* Text-level semantics\n ========================================================================== */\n\n/**\n * Address styling not present in IE 8/9, Safari 5, and Chrome.\n */\n\nabbr[title] {\n border-bottom: 1px dotted;\n}\n\n/**\n * Address style set to `bolder` in Firefox 4+, Safari 5, and Chrome.\n */\n\nb,\nstrong {\n font-weight: bold;\n}\n\n/**\n * Address styling not present in Safari 5 and Chrome.\n */\n\ndfn {\n font-style: italic;\n}\n\n/**\n * Address variable `h1` font-size and margin within `section` and `article`\n * contexts in Firefox 4+, Safari 5, and Chrome.\n */\n\nh1 {\n font-size: 2em;\n margin: 0.67em 0;\n}\n\n/**\n * Address styling not present in IE 8/9.\n */\n\nmark {\n background: #ff0;\n color: #000;\n}\n\n/**\n * Address inconsistent and variable font size in all browsers.\n */\n\nsmall {\n font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` affecting `line-height` in all browsers.\n */\n\nsub,\nsup {\n font-size: 75%;\n line-height: 0;\n position: relative;\n vertical-align: baseline;\n}\n\nsup {\n top: -0.5em;\n}\n\nsub {\n bottom: -0.25em;\n}\n\n/* Embedded content\n ========================================================================== */\n\n/**\n * Remove border when inside `a` element in IE 8/9.\n */\n\nimg {\n border: 0;\n}\n\n/**\n * Correct overflow displayed oddly in IE 9.\n */\n\nsvg:not(:root) {\n overflow: hidden;\n}\n\n/* Grouping content\n ========================================================================== */\n\n/**\n * Address margin not present in IE 8/9 and Safari 5.\n */\n\nfigure {\n margin: 1em 40px;\n}\n\n/**\n * Address differences between Firefox and other browsers.\n */\n\nhr {\n -moz-box-sizing: content-box;\n box-sizing: content-box;\n height: 0;\n}\n\n/**\n * Contain overflow in all browsers.\n */\n\npre {\n overflow: auto;\n}\n\n/**\n * Address odd `em`-unit font size rendering in all browsers.\n */\n\ncode,\nkbd,\npre,\nsamp {\n font-family: monospace, monospace;\n font-size: 1em;\n}\n\n/* Forms\n ========================================================================== */\n\n/**\n * Known limitation: by default, Chrome and Safari on OS X allow very limited\n * styling of `select`, unless a `border` property is set.\n */\n\n/**\n * 1. Correct color not being inherited.\n * Known issue: affects color of disabled elements.\n * 2. Correct font properties not being inherited.\n * 3. Address margins set differently in Firefox 4+, Safari 5, and Chrome.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n color: inherit; /* 1 */\n font: inherit; /* 2 */\n margin: 0; /* 3 */\n}\n\n/**\n * Address `overflow` set to `hidden` in IE 8/9/10.\n */\n\nbutton {\n overflow: visible;\n}\n\n/**\n * Address inconsistent `text-transform` inheritance for `button` and `select`.\n * All other form control elements do not inherit `text-transform` values.\n * Correct `button` style inheritance in Firefox, IE 8+, and Opera\n * Correct `select` style inheritance in Firefox.\n */\n\nbutton,\nselect {\n text-transform: none;\n}\n\n/**\n * 1. Avoid the WebKit bug in Android 4.0.* where (2) destroys native `audio`\n * and `video` controls.\n * 2. Correct inability to style clickable `input` types in iOS.\n * 3. Improve usability and consistency of cursor style between image-type\n * `input` and others.\n */\n\nbutton,\nhtml input[type=\"button\"], /* 1 */\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n -webkit-appearance: button; /* 2 */\n cursor: pointer; /* 3 */\n}\n\n/**\n * Re-set default cursor for disabled elements.\n */\n\nbutton[disabled],\nhtml input[disabled] {\n cursor: default;\n}\n\n/**\n * Remove inner padding and border in Firefox 4+.\n */\n\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n border: 0;\n padding: 0;\n}\n\n/**\n * Address Firefox 4+ setting `line-height` on `input` using `!important` in\n * the UA stylesheet.\n */\n\ninput {\n line-height: normal;\n}\n\n/**\n * It's recommended that you don't attempt to style these elements.\n * Firefox's implementation doesn't respect box-sizing, padding, or width.\n *\n * 1. Address box sizing set to `content-box` in IE 8/9/10.\n * 2. Remove excess padding in IE 8/9/10.\n */\n\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n box-sizing: border-box; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Fix the cursor style for Chrome's increment/decrement buttons. For certain\n * `font-size` values of the `input`, it causes the cursor style of the\n * decrement button to change from `default` to `text`.\n */\n\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n * 1. Address `appearance` set to `searchfield` in Safari 5 and Chrome.\n * 2. Address `box-sizing` set to `border-box` in Safari 5 and Chrome\n * (include `-moz` to future-proof).\n */\n\ninput[type=\"search\"] {\n -webkit-appearance: textfield; /* 1 */\n -moz-box-sizing: content-box;\n -webkit-box-sizing: content-box; /* 2 */\n box-sizing: content-box;\n}\n\n/**\n * Remove inner padding and search cancel button in Safari and Chrome on OS X.\n * Safari (but not Chrome) clips the cancel button when the search input has\n * padding (and `textfield` appearance).\n */\n\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n * Define consistent border, margin, and padding.\n */\n\nfieldset {\n border: 1px solid #c0c0c0;\n margin: 0 2px;\n padding: 0.35em 0.625em 0.75em;\n}\n\n/**\n * 1. Correct `color` not being inherited in IE 8/9.\n * 2. Remove padding so people aren't caught out if they zero out fieldsets.\n */\n\nlegend {\n border: 0; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Remove default vertical scrollbar in IE 8/9.\n */\n\ntextarea {\n overflow: auto;\n}\n\n/**\n * Don't inherit the `font-weight` (applied by a rule above).\n * NOTE: the default cannot safely be changed in Chrome and Safari on OS X.\n */\n\noptgroup {\n font-weight: bold;\n}\n\n/* Tables\n ========================================================================== */\n\n/**\n * Remove most spacing between table cells.\n */\n\ntable {\n border-collapse: collapse;\n border-spacing: 0;\n}\n\ntd,\nth {\n padding: 0;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/settings/fontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/fontfamily",
"text": "\"Helvetica Neue\", Helvetica, Arial, \"Lucida Grande\", \"DejaVu Sans\", sans-serif"
},
"$:/themes/tiddlywiki/vanilla/settings/codefontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/codefontfamily",
"text": "Monaco, Consolas, \"Lucida Console\", \"DejaVu Sans Mono\", monospace"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment",
"text": "fixed"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize",
"text": "auto"
},
"$:/themes/tiddlywiki/vanilla/sticky": {
"title": "$:/themes/tiddlywiki/vanilla/sticky",
"text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n``\n</$reveal>\n"
}
}
}
This [[TiddlyWiki|https://tiddlywiki.com/]] site presents the results of the following article: <ul>
''Kee, Y. H., Li, C., Kong, L. C., Tang, C. J., & Chuang, K. L. (accepted 5 March 2019), Scoping review of mindfulness research: A topic modelling approach.
//Mindfulness//''. <br>,,[[Abstract]],,<br>,,[[Article access via DOI]],,<br>
</ul>
<br>
''What is this work about?''<br>
<li>//Mindfulness// has received much attention over the past two decades.
<li>Given the mounting volume of mindfulness research, there is a need to present an overview of topics associated with this area of work to facilitate further development of the field.
<li> The [[research team|6. Research team]] collated 5,947 bibliographical records from the Web of Science Core Collection platform (up to 20 October 2017) based on the search term 'mindfulness', and applied [[probabilistic topic modelling|https://doi.org/10.1145/2133806.2133826]] based on latent Dirichlet allocation (LDA) to accomplish the current scoping review of mindfulness research.
<li>The model derived suggests [[106 topics|2. Topic list: Collective Themes and Suggested Terms]], which were further interpreted by the research team in terms of [[Collective Themes|2. Topic list: Collective Themes and Suggested Terms]] and [[Suggested Terms|2. Topic list: Collective Themes and Suggested Terms]].
<li>Suggested Terms were also classified under the following five categories: [[Condition/Issue|Condition/Issue]], [[Construct/Philosophy|Construct/Philosophy]], [[Modality|Modality]], [[Population/Setting|Population/Setting]], and [[Research Methodology|Research Methodology]].
<li>Selected publications associated with the respective Suggested Terms (e.g., [[Compassion|Compassion]]) are included to allow researchers, clinicians, mindfulness practitioners and general audience easier access to these works.
<li>The findings generated from this study serve as a reflection of what has been done and, hopefully, reveal what is possible.
<li>We welcome colleagues to review the Collective Themes and Suggested Terms derived from this research and share their own interpretation of the results with the academic community.
<br><br>
''Key authors' contact'':<br>
//Ying Hwa KEE //,,[[Twitter|https://twitter.com/keefellow]],,<br>
[img[emailKYH.png]]
<br>
//Chunxiao LI//
,,[[Twitter|https://twitter.com/cxlilee]],,<br>
[img[emaillcx.png]]
<br>
|!Collective Themes |!Suggested Terms |
|[[Topic 1 : Youth]]|[[Youth]]|
|[[Topic 2 : Unclear]]|[[Self-esteem]]<br> [[Arts]]<br> [[Martial arts]]|
|[[Topic 3 : Intolerance]]|[[Discomfort]]<br> [[Intolerance]]<br> [[Panic]]<br> [[Rasch analysis]]|
|[[Topic 4 : Mind-wandering]]|[[Mind-wandering (1)]]<br> [[Urgency]]|
|[[Topic 5 : Sport performance]]|[[Flow]]<br> [[Athlete]]<br> [[Coach]]<br> [[Sport]]<br> [[Blood flow]]|
|[[Topic 6 : Pregnancy]]|[[Pregnancy]]<br> [[Gratitude]] |
|[[Topic 7 : Unclear]]|[[Headache]]<br> [[Safety]]<br> [[Default mode network (DMN)]]<br> [[Healing]]<br> [[Health related quality of life (HRQOL)]]|
|[[Topic 8 : Contemplative science]]|[[Contemplative science]]<br> [[Embodiment]]|
|[[Topic 9 : Implicit processes]]|[[Implicit processes]]<br>[[Gambling]]|
|[[Topic 10 : Caregiving]]|[[Caregivers]]|
|[[Topic 11 : Ethics]]|[[Ethics]]|
|[[Topic 12 : Electroencephalogram (EEG)]]|[[Coherence]]<br> [[Electroencephalogram (EEG)]]<br>[[Magnetoencephalography (MEG)]]|
|[[Topic 13 : Decentering]]|[[Decentering]]<br>[[Flourishing]]<br>[[African]]|
|[[Topic 14 : Mind-body relation]]|[[Boundary]]<br> [[Clarity]]<br> [[Wisdom]]<br> [[Mind-body therapies]]<br> [[Mindfulness-based therapies]]<br> [[Kentucky Inventory of Mindfulness Skills (KIMS)]]|
|[[Topic 15 : Bipolar disorder]]|[[Bipolar disorder]]<br> [[Treatment as usual]] |
|[[Topic 16 : Inflammation]]|[[Fibromyalgia syndrome (FMS)]]<br> [[Inflammatory responses]] <br> [[Genetics]]|
|[[Topic 17 : Unclear]]|[[Immersion]]<br> [[Locus of control]]<br> [[Intergroup relations]]<br> [[Mathematics]]|
|[[Topic 18 : Unclear]]|[[Cognitive fusion]]<br> [[Shame]]<br> [[Music]]<br> [[Palliative care]]|
|[[Topic 19 : Therapy]]|[[Generalised anxiety disorder (GAD)]]<br> [[Dissociation]] |
|[[Topic 20 : Spirituality]]|[[Spirituality]]|
|[[Topic 21 : Unclear]]|[[Conflict]]<br> [[Reappraisal]] |
|[[Topic 22 : Yoga]]|[[Yoga]]|
|[[Topic 23 : Mobile phone]]|[[Death]]<br> [[Mobile applications]]<br> [[Text messages]] |
|[[Topic 24 : Mindful Attention Awareness Scale (MAAS)]]|[[Mindful Attention Awareness Scale (MAAS)]]|
|[[Topic 25 : Teams and organisations]]|[[Organisation (1)]]<br> [[Teams]] |
|[[Topic 26 : Unclear]]|[[Serenity]]<br> [[Silence]] |
|[[Topic 27 : Substance use]]|[[Substance use]]|
|[[Topic 28 : Nursing]]|[[Nursing]]|
|[[Topic 29 : Creativity in mind-wandering]]|[[Creativity]]<br> [[Mind-wandering (2)]] |
|[[Topic 30 : Sleep]]|[[Sleep]]|
|[[Topic 31 : Suppression of automaticity]]|[[Automaticity]]<br> [[Suppression]] |
|[[Topic 32 : Buddhism]]|[[Buddhism]]|
|[[Topic 33 : Unclear]]|[[Chronic obstructive pulmonary disease (COPD)]]<br> [[Internet-addiction]]<br> [[Internet-delivered intervention]] |
|[[Topic 34 : Worry]]|[[Worry]]|
|[[Topic 35 : Cancer]]|[[Cancer]]|
|[[Topic 36 : Self-control]]|[[Opiod-use]]<br> [[Impulsivity]]<br> [[Reward]] |
|[[Topic 37 : Alcohol dependency]]|[[Alcohol dependency]]|
|[[Topic 38 : Unclear]]|[[Disaster]]<br> [[Curiosity]]<br> [[Agile software development]] |
|[[Topic 39 : Unclear]]|[[Vipassana]]<br> [[Event-related potential (ERP)]] |
|[[Topic 40 : Unclear]]|[[Borderline personality disorder]]<br> [[Leadership]] |
|[[Topic 41 : Unclear]]|[[Elderly]]<br> [[Politics]]<br> [[Profile of Mood States (POMS)]] |
|[[Topic 42 : Older adults]]|[[Older adults]]|
|[[Topic 43 : Unclear]]|[[Media multitasking]]<br> [[Social media behaviour]]<br> [[Voice hallucination]]<br> [[Metacognition]]|
|[[Topic 44 : Religion]]|[[Religion]]|
|[[Topic 45 : Addiction]]|[[Addiction]]|
|[[Topic 46 : Intelligence]]|[[Intelligence]]|
|[[Topic 47 : Unclear]]|[[Tinnitus]]<br> [[Qigong]] |
|[[Topic 48 : Social anxiety disorder (SAD)]]|[[Social anxiety disorder (SAD)]]|
|[[Topic 49 : Cognitive behaviour therapy]]|[[Cognitive behaviour therapy]]|
|[[Topic 50 : Aggression]]|[[Aggression]]|
|[[Topic 51 : Pain]]|[[Pain]]|
|[[Topic 52 : Identity]]|[[Identity]]|
|[[Topic 53 : Unclear]]|[[Intuition]]<br> [[Virtues]]<br> [[Brain structure]] |
|[[Topic 54 : Communication]]|[[Communication]]|
|[[Topic 55 : Teacher]]|[[Teacher]]|
|[[Topic 56 : Psychosis]]|[[Psychosis]]|
|[[Topic 57 : Quality of life]]|[[Empathy]]<br> [[Quality of life]] |
|[[Topic 58 : Unclear]]|[[Major depressive disorder (MDD)]]<br> [[Love]]<br> [[Retreat]]<br> [[Walk]]|
|[[Topic 59 : Unclear]]|[[Supervisory roles]]|
|[[Topic 60 : Neuroticism]]|[[Neuroticism]]|
|[[Topic 61 : Unclear]]|[[Infertility]]<br> [[Forgiveness]] |
|[[Topic 62 : Mindful movement]]|[[Motor]]<br> [[Tai chi]] |
|[[Topic 63 : Suicidal ideation]]|[[Suicidal ideation]]<br> [[Mental health care staff]] |
|[[Topic 64 : Unclear]]|[[Food consumption]]|
|[[Topic 65 : Unclear]]|[[Vision]]<br> [[Priming]]<br> [[Telomere]] |
|[[Topic 66 : Therapist]]|[[Therapist]]|
|[[Topic 67 : Unclear]]|[[Organ transplant]]<br> [[Journey]]<br> [[Biofeedback]]<br> [[Cross-cultural]]|
|[[Topic 68 : Unclear]]|[[Attention]]<br> [[Joy]]<br> [[Trust]]<br> [[Progressive muscle relaxation]]|
|[[Topic 69 : Weight and dietary-related issues]]|[[Eating]]<br> [[Weight]] |
|[[Topic 70 : Mindfulness-based intervention]]|[[Mindfulness-based intervention]]|
|[[Topic 71 : Unclear]]|[[Injuries]]<br> [[Distraction]] |
|[[Topic 72 : Mindfulness-based cognitive therapy (MBCT)]]|[[Mindfulness-based cognitive therapy (MBCT)]]|
|[[Topic 73 : Rumination]]|[[Anger rumination]]<br> [[Rumination]] |
|[[Topic 74 : Compassion]]|[[Compassion]]|
|[[Topic 75 : Unclear]]|[[Autobiographical memory]]<br> [[Defusion]]<br> [[Imagery]]<br> [[Recall]]|
|[[Topic 76 : Unclear]]|[[Cell phone use]]<br> [[Phone-based intervention]]<br> [[Japan]] |
|[[Topic 77 : Unclear]]|[[Diabetes]]<br> [[Fibromyalgia]] |
|[[Topic 78 : Unclear]]|[[Alexithymia]]<br> [[Ambiguity]]<br> [[Ambivalence]]<br> [[Bibliotherapy]]|
|[[Topic 79 : Unclear]]|[[Discrepancy]]<br> [[Beginners]]<br> [[Nonattachment]]<br> [[Psychological well-being]]<br> [[Subjective well-being]]<br> [[Taiji]]<br> [[Spanish questionnaires]]|
|[[Topic 80 : Unclear]]|[[Treatment-resistant depression (TRD)]]<br> [[Congruence]]<br> [[Health enhancement programme (HEP)]]<br> [[Ethnic minority]]<br> [[Romantic attraction]] |
|[[Topic 81 : Unclear]]|[[Schizophrenia]]<br> [[Cognitive intrusion]]<br> [[Five Facet Mindfulness Questionnaire (FFMQ)]] |
|[[Topic 82 : Attention deficit hyperactivity disorder (ADHD)]]|[[Attention deficit hyperactivity disorder (ADHD)]]<br>[[Tourism]]|
|[[Topic 83 : Mindfulness-based stress reduction (MBSR)]]|[[Mindfulness-based stress reduction (MBSR)]]|
|[[Topic 84 : Unclear]]|[[Amygdala]]<br> [[Mindlessness]]<br> [[Picture]] |
|[[Topic 85 : Adolescent]]|[[Adolescent]]|
|[[Topic 86 : Job burnout]]|[[Burnout]]<br> [[Health care worker burnout]]<br> [[Physician job burnout]] |
|[[Topic 87 : Sexual issues]]|[[Sexual issues]]|
|[[Topic 88 : Organisation]]|[[Organisation (2)]]|
|[[Topic 89 : Partner/couple]]|[[Partner/couple]]|
|[[Topic 90 : Unclear]]|[[Happiness]]<br> [[Zen]] |
|[[Topic 91 : Smoking]]|[[Smoking]]|
|[[Topic 92 : Unclear]]|[[Sensemaking]]<br> [[Virtual reality]]<br> [[Web app]] |
|[[Topic 93 : Parent-children]]|[[Parent-children]]|
|[[Topic 94 : Chinese]]|[[Chinese]]|
|[[Topic 95 : Veteran-PTSD]]|[[Veteran/military]]<br>[[Posttraumatic stress disorder (PTSD)]]|
|[[Topic 96 : Errors]]|[[Errors]]|
|[[Topic 97 : Unclear]]|[[Cardiac rehabilitation]]<br> [[Rehabilitation]] |
|[[Topic 98 : Unclear]]|[[Hypertension]]<br> [[Indian]]<br> [[Psychologist-well-being]] |
|[[Topic 99 : Violence and trauma]]|[[Childhood trauma]]<br> [[Trauma]]<br> [[Violence]] |
|[[Topic 100 : Unclear]]|[[Childbirth]]<br> [[Hypnosis]] |
|[[Topic 101 : Unclear]]|[[Procrastination]]<br> [[Perfectionism]]<br> [[Writing]] |
|[[Topic 102 : Unclear]]|[[Speech]]<br> [[Loving-kindness meditation]] |
|[[Topic 103 : Unclear]]|[[Accuracy]]<br> [[Interoceptive processes]]<br> [[Transcendence]] |
|[[Topic 104 : Unclear]]|[[Values-based processes]]<br> [[Massive Open Online Course (MOOC)]]<br> [[Learner]]<br> [[Worksite]]|
|[[Topic 105 : Unclear]]|[[Craving]]<br> [[Cortisol]] |
|[[Topic 106 : Unclear]]|[[Human immunodeficiency virus (HIV)]]<br> [[Internet-based cognitive behavioral therapy (iCBT)]]<br> [[Narrative]]<br> [[Story]]|
Click the links below for examples.
<div class="tc-table-of-contents">
<<toc-selective-expandable 'c. five categories' sort[title]>>
</div>
|!Questions |!Answers |
|What is TiddlyWiki?|[[TiddlyWiki|https://tiddlywiki.com/]], created by [[Jeremy Ruston|https://github.com/Jermolene]], is a non-linear notebook for capturing, organising and sharing complex information. It is useful to think of it as a set of virtual index cards (called Tiddlers) which one can write stuffs on. The added advantage of TiddlyWiki is its inbuilt text searching function, making locating of information relatively easy.|
|How can one use this file?|As you read through the TiddlyWiki file, you may find interesting papers along the way or you may have some new ideas. We have created a [[tiddler|5. Personal notes/Collections]] for you to take notes. You can also click the {{$:/core/ui/Buttons/new-tiddler}} icon to add a new tiddler. Save the file to keep the changes you made. You can open this file in most web-browsers.|
|How can one save a copy of this file?|To save a copy of the file, click on the {{$:/core/ui/Buttons/save-wiki}} icon to download the single TiddlyWiki html file. Refer to https://tiddlywiki.com/#Saving for more information on saving TiddlyWiki files.|
|How can one print contents from this file?|To print contents, you can make use of the {{$:/core/ui/Buttons/print}} icon.|
|Where can I can get more information about it?|Visit the official website at [[https://tiddlywiki.com/]]. You can also view an introductory [[Video Tutorial]]. The [[TiddlyWiki group forum|https://groups.google.com/forum/#!forum/tiddlywiki]] is also useful if you have specific questions about use of TiddlyWiki.|
|How can I access more functionalities in TiddlyWiki in this file?|To access more functionalities, the Tools tab needs to be visible. First, click [[Toggle Sidebar Tabs]], then check the Tools option at the Toggle Sidebar tab as shown [[here|Access "Tools"]]. You will be access the Tools settings through the first tab. <br>Code Courtesy of [[Matabele|https://groups.google.com/forum/#!searchin/tiddlywiki/relocating$20those$20sidebar$20tabs|sort:date/tiddlywiki/dQbt-JFdRR8/IuVf0STNAQAJ]].|
//Click on the [img[edit.PNG]] icon above. <br>
Type something here ... This is for you to type in your own notes.// <br><br>
Clicking the {{$:/core/ui/Buttons/save-wiki}} icon saves the file on your system.
''Ying Hwa KEE''^^a^^ ,,[[ORCID|https://orcid.org/0000-0003-2839-0461]] ,,,,[[Twitter|https://twitter.com/keefellow]],,<br>
''Chunxiao LI''^^a^^ ,,[[ORCID|https://orcid.org/0000-0002-9959-5029]] ,,,,[[Twitter|https://twitter.com/cxlilee]],,<br>
''Leng Chee KONG''^^a^^<br>
''Crystal Jieyi TANG''^^a^^,,[[Twitter|https://twitter.com/crystaltang22]],,<br>
''Kuo-Liang CHUANG'' ^^b^^,,[[Twitter|https://twitter.com/kuo_chuang/]],,<br>
__Affiliations__:<br>
^^a^^//National Institute of Education //,,http://www.nie.edu.sg,,<br>//Nanyang Technological University, Singapore //,,http://ntu.edu.sg<br>,,
^^b^^//National Taitung University //,,https://www.nttu.edu.tw<br>,,
<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title">Mindfulness Topic Modelling 2017</span> by <a xmlns:cc="http://creativecommons.org/ns#" href="https://repository.nie.edu.sg/bitstream/10497/20862/3/Mindfulness_TM_2017.html" property="cc:attributionName" rel="cc:attributionURL">Ying Hwa KEE, Chunxiao LI, Leng Chee KONG, Crystal Jieyi TANG, & Kuo-Liang CHUANG</a> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.<br />Based on a work at <a xmlns:dct="http://purl.org/dc/terms/" href="https://doi.org/10.1007/s12671-019-01136-4" rel="dct:source">https://doi.org/10.1007/s12671-019-01136-4</a>.
<br>//Created 29 March 2019//
//''To cite this TiddlyWiki site'':// <br>
Kee, Y. H., Li, C., Kong, L. C., Tang, J. C., & Chuang, K. L. (2019). Related data for: Scoping review of mindfulness research- A topic modelling approach. Retrieved from: https://doi.org/10.25340/R4/SDWNGQ
We like to thank [[Clarivate Analytics|https://clarivate.com]] for ''Web of Science Core Collection'' data access.
We thank Jeremy Ruston for [[TiddlyWiki|https://tiddlywiki.com/]] and the supportive community behind this wonderful tool.
We would also like to thank research assistants for their help with preparing the reference lists for identified topics.
Lastly, we thank colleagues at the Library and Information Services Centre [[(NIE Libris)|http://libris.nie.edu.sg/]] in [[National Institute of Education, Singapore|https://www.nie.edu.sg]] for their help in hosting this page.
Much of the information for this document is taken directly from openly available sources.
We do not make any warranties about the completeness, reliability and accuracy of this information. Any action you take upon the information on this website or this file is strictly at your own risk, and we will not be liable for any losses and damages in connection with the use of our website.
''Objectives'': As the volume of mindfulness research continues amassing exponentially, there have been attempts to review works in various aspects of mindfulness research systematically. The present study provides a scoping review via a topic modelling approach to supplement the overall research synthesis effort. Specifically, the objective is to scope the mindfulness research by identifying topics relevant to mindfulness research using the probabilistic topic modelling approach. <br>''Methods'': A literature search based on “mindfulness” returned 5,947 bibliographical records from the Web of Science Core Collection platform (for records up to 20 October 2017). The combined field of titles and abstracts were subjected to probabilistic topic modelling based on latent Dirichlet allocation (LDA).<br>''Results'': The optimal number of topics suggested was [[106|2. Topic list: Collective Themes and Suggested Terms]]. Further interpretation by the research team resulted in a total of [[231 Suggested Terms|2. Topic list: Collective Themes and Suggested Terms]]. The terms were further categorised into [[Condition/Issue|Condition/Issue]], [[Construct/Philosophy|Construct/Philosophy]], [[Modality|Modality]], [[Population/Setting|Population/Setting]] and [[Research Methodology|Research Methodology]]. <br>''Conclusions'': The topic modelling process obtained a panoptic view of mindfulness research, providing mindfulness researchers with some indicators regarding the range of topics currently researched. The outcome of this topic modelling effort has been made available at [[https://hdl.handle.net/10497/20862|https://hdl.handle.net/10497/20862]].
Bornemann, B., & Singer, T. (2017). Taking time to feel our body: Steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. //Psychophysiology, 54//(3), 469-482. https://doi.org/10.1111/psyp.12790
Daubenmier, J., Sze, J., Kerr, C.E., Kemeny, M.E., & Mehling, W. (2013). Follow your breath: Respiratory interoceptive accuracy in experienced meditators. //Psychophysiology, 50//(8), 777-789. https://doi.org/10.1111/psyp.12057
Lai, C., MacNeil, B., & Frewen, P. (2015). A comparison of the attentional effects of single-session mindfulness meditation and Fp-HEG neurofeedback in novices. //Mindfulness, 6//(5), 1012-1020. https://doi.org/10.1007/s12671-014-0347-6
Parkin, L., Morgan, R., Rosselli, A., Howard, M., Sheppard, A., Evans, D., ... & Dunn, B. (2014). Exploring the relationship between mindfulness and cardiac perception. //Mindfulness, 5//(3), 298-313. https://doi.org/10.1007/s12671-012-0181-7
Tarrasch, R., Margalit-Shalom, L., & Berger, R. (2017). Enhancing visual perception and motor accuracy among school children through a mindfulness and compassion program. //Frontiers in Psychology, 8//, 281. https://doi.org/10.3389/fpsyg.2017.00281
van Vugt, M.K., & van den Hurk, P.M. (2017). Modeling the effects of attentional cueing on meditators. //Mindfulness, 8//(1), 38-45. https://doi.org/10.1007/s12671-015-0464-x
Ardame, A., Bassaknejad, S., Zargard, Y., Rokni, P., & Sayyah, M. (2014). Examine the relationship between mindfulness and drug craving in addicts undergoing methadone maintenance treatment. //Iranian Journal of Public Health, 43//(3), 349-354. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419173/
Arslan, G. (2017). Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: A study of mediation effect. //Computers in Human Behavior, 72//, 57-66. https://doi.org/10.1016/j.chb.2017.02.037
Ashe, M.L., Newman, M.G., & Wilson, S.J. (2015). Delay discounting and the use of mindful attention versus distraction in the treatment of drug addiction: A conceptual review. //Journal of the Experimental Analysis of Behavior, 103//(1), 234-248. https://doi.org/10.1002/jeab.122
Bowen, S., Somohano, V.C., Rutkie, R.E., Manuel, J.A., & Rehder, K.L. (2017). Mindfulness-based relapse prevention for methadone maintenance: A feasibility trial. //Journal of Alternative and Complementary Medicine, 23//(7), 541-544. https://doi.org/10.1089/acm.2016.0417
Garland, E.L. (2016). Restructuring reward processing with mindfulness-oriented recovery enhancement: Novel therapeutic mechanisms to remediate hedonic dysregulation in addiction, stress, and pain. //Special issue: Advances in meditation research, 1373//, 25-37. https://doi.org/10.1111/nyas.13034
Groves, P. (2014). Buddhist approaches to addiction recovery. //Religions, 5//(4), 985-1000. https://doi.org/10.3390/rel5040985
Liu, Q.Q., Zhou, Z.K., Yang, X.J., Kong, F.C., Niu, G.F., & Fan, C.Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model. //Computers in Human Behavior, 72//, 108-114. https://doi.org/10.1016/j.chb.2017.02.042
Loree, A.M., Ondersma, S.J., & Grekin, E.R. (2017). Toward enhancing treatment for pregnant smokers: Laying the groundwork for the use of complementary and alternative medicine approaches. //Nicotine & Tobacco Research, 19//(5), 562-571. https://doi.org/10.1093/ntr/ntw262
Mehl-Madrona, L., Mainguy, B., & Plummer, J. (2016). Integration of complementary and alternative medicine therapies into primary-care pain management for opiate reduction in a rural setting. //Journal of Alternative and Complementary Medicine, 22//(8), 621-626. https://doi.org/10.1089/acm.2015.0212
Tang, Y.Y., Tang, R.X., & Posner, M.I. (2016). Mindfulness meditation improves emotion regulation and reduces drug abuse. //Drug and Alcohol Dependence, 163//, S13-S18. https://doi.org/10.1016/j.drugalcdep.2015.11.041
Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Meditation awareness training for the treatment of sex addiction: A case study. //Journal of Behavioral Addictions, 5//(2), 363-372. https://doi.org/10.1556/2006.5.2016.034
Witkiewitz, K., Bowen, S., Harrop, E.N., Douglas, H., Enkema, M., & Sedgwick, C. (2014). Mindfulness-based treatment to prevent addictive behavior relapse: Theoretical models and hypothesized mechanisms of change. //Substance Use & Misuse, 49//(5), 513-524. https://doi.org/10.3109/10826084.2014.891845
Ames, C.S., Richardson, J., Payne, S., Smith, P., & Leigh, E. (2014). Innovations in practice: Mindfulness-based cognitive therapy for depression in adolescents. //Child and Adolescent Mental Health, 19//(1), 74-78. https://doi.org/10.1111/camh.12034
Bach, J.M., & Guse, T. (2015). The effect of contemplation and meditation on 'great compassion' on the psychological well-being of adolescents. //Journal of Positive Psychology, 10//(4), 359-369. https://doi.org/10.1080/17439760.2014.965268
Biegel, G.M., Brown, K.W., Shapiro, S.L., & Schubert, C.A. (2009). Mindfulness-based stress reduction for the treatment of adolescent psychiatric outpatients: A randomized clinical trial. //Journal of Consulting and Clinical Psychology, 77//(5), 855-866. https://doi.org/10.1037/a0016241
Birnbaum, L. (2005). Adolescent aggression and differentiation of self: Guided mindfulness meditation in the service of individuation. //Thescientificworldjournal, 5//, 478-489. https://doi.org/10.1100/tsw.2005.59
Black, D.S., Sussman, S., Johnson, C.A., & Milam, J. (2012). Testing the indirect effect of trait mindfulness on adolescent cigarette smoking through negative affect and perceived stress mediators. //Journal of Substance Use, 17//(5-6), 417-429. https://doi.org/10.3109/14659891.2011.587092
Blake, M., Schwartz, O., Waloszek, J.M., Raniti, M., Simmons, J.G., Murray, G., ... & Allen, N.B. (2017). The sense study: Treatment mechanisms of a cognitive behavioral and mindfulness-based group sleep improvement intervention for at-risk adolescents. //Sleep, 40//(6), ZSX061. https://doi.org/10.1093/sleep/zsx061
Blake, M., Waloszek, J.M., Schwartz, O., Raniti, M., Simmons, J.G., Blake, L., ... & Allen, N.B. (2016). The sense study: Post intervention effects of a randomized controlled trial of a cognitive-behavioral and mindfulness-based group sleep improvement intervention among at-risk adolescents. //Journal of Consulting and Clinical Psychology, 84//(12), 1039-1051. https://doi.org/10.1037/ccp0000142
Bluth, K., & Blanton, P.W. (2014). Mindfulness and self-compassion: Exploring pathways to adolescent emotional well-being. //Journal of Child and Family Studies, 23//(7), 1298-1309. https://doi.org/10.1007/s10826-013-9830-2
Bluth, K., Campo, R.A., Futch, W.S., & Gaylord, S.A. (2017). Age and gender differences in the associations of self-compassion and emotional well-being in a large adolescent sample. //Journal of Youth and Adolescence, 46//(4), 840-853. https://doi.org/10.1007/s10964-016-0567-2
Bluth, K., Campo, R.A., Pruteanu-Malinici, S., Reams, A., Mullarkey, M., & Broderick, P.C. (2016). A school-based mindfulness pilot study for ethnically diverse at-risk adolescents. //Mindfulness, 7//(1), 90-104. https://doi.org/10.1007/s12671-014-0376-1
Bluth, K., Gaylord, S.A., Campo, R.A., Mullarkey, M.C., & Hobbs, L. (2016). Making friends with yourself: A mixed methods pilot study of a mindful self-compassion program for adolescents. //Mindfulness, 7//(2), 479-492. https://doi.org/10.1007/s12671-015-0476-6
Bluth, K., Roberson, P.N.E., & Gaylord, S.A. (2015). A pilot study of a mindfulness intervention for adolescents and the potential role of self-compassion in reducing stress. //Explore: The Journal of Science and Healing, 11//(4), 292-295. https://doi.org/10.1016/j.explore.2015.04.005
Bluth, K., Roberson, P.N.E., & Girdler, S.S. (2017). Adolescent sex differences in response to a mindfulness intervention: A call for research. //Journal of Child and Family Studies, 26//(7), 1900-1914. https://doi.org/10.1007/s10826-017-0696-6
Bogels, S., Hoogstad, B., van Dun, L., de Schutter, S., & Restifo, K. (2008). Mindfulness training for adolescents with externalizing disorders and their parents. //Behavioural and Cognitive Psychotherapy, 36//(2), 193-209. https://doi.org/10.1017/S1352465808004190
Britton, W.B., Bootzin, R.R., Cousins, J.C., Hasler, B.P., Peck, T., & Shapiro, S.L. (2010). The contribution of mindfulness practice to a multicomponent behavioral sleep intervention following substance abuse treatment in adolescents: A treatment-development study. //Substance Abuse, 31//(2), 86-97. https://doi.org/10.1080/08897071003641297
Brown, K.W., West, A.M., Loverich, T.M., & Biegel, G.M. (2011). Assessing adolescent mindfulness: Validation of an adapted Mindful Attention Awareness Scale in adolescent normative and psychiatric populations. //Psychological Assessment, 23//(4), 1023-1033. https://doi.org/10.1037/a0021338
Butzer, B., LoRusso, A., Shin, S.H., & Khalsa, S.B.S. (2017). Evaluation of yoga for preventing adolescent substance use risk factors in a middle school setting: A preliminary group-randomized controlled trial. //Journal of Youth and Adolescence, 46//(3), 603-632. https://doi.org/10.1007/s10964-016-0513-3
Carsley, D., Heath, N.L., Gomez-Garibello, C., & Mills, D.J. (2017). The importance of mindfulness in explaining the relationship between adolescents' anxiety and dropout intentions. //School Mental Health, 9//(1), 78-86. https://doi.org/10.1007/s12310-016-9196-x
Chadi, N., McMahon, A., Vadnais, M., Malboeuf-Hurtubise, C., Djemli, A., Dobkin, P.L., ... & Haley, N. (2016). Mindfulness-based intervention for female adolescents with chronic pain: A pilot randomized trial. //Journal of the Canadian Academy of Child and Adolescent Psychiatry, 25//(3), 159-168.
Chiesi, F., Dellagiulia, A., Lionetti, F., Bianchi, G., & Primi, C. (2017). Using item response theory to explore the psychometric properties of the Italian version of the child and adolescent mindfulness measure (CAMM). //Mindfulness, 8//(2), 351-360. https://doi.org/10.1007/s12671-016-0604-y
Ciesla, J.A., Reilly, L.C., Dickson, K.S., Emanuel, A.S., & Updegraff, J.A. (2012). Dispositional mindfulness moderates the effects of stress among adolescents: Rumination as a mediator. //Journal of Clinical Child and Adolescent Psychology, 41//(6), 760-770. https://doi.org/10.1080/15374416.2012.698724
Cillessen, L., van de Ven, M.O., & Karremans, J.C. (2017). The role of trait mindfulness in quality of life and asthma control among adolescents with asthma. //Journal of Psychosomatic Research, 99//, 143-148. https://doi.org/10.1016/j.jpsychores.2017.06.014
Cobb, E., Kor, A., & Miller, L. (2015). Support for adolescent spirituality: Contributions of religious practice and trait mindfulness. //Journal of Religion & Health, 54//(3), 862-870. https://doi.org/10.1007/s10943-015-0046-1
Cunha, M., & Paiva, M.J. (2012). Text anxiety in adolescents: The role of self-criticism and acceptance and mindfulness skills. //Spanish Journal of Psychology, 15//(2), 533-543. https://doi.org/10.5209/rev_SJOP.2012.v15.n2.38864
Daigneault, I., Dion, J., Hebert, M., & Bourgeois, C. (2016). Mindfulness as mediator and moderator of post-traumatic symptomatology in adolescence following childhood sexual abuse or assault. //Mindfulness, 7//(6), 1306-1315. https://doi.org/10.1007/s12671-016-0571-3
de Bruin, E.I., Blom, R., Smit, F.M.A., van Steensel, F.J.A., & Bogels, S.M. (2015). MYmind: Mindfulness training for Youngsters with autism spectrum disorders and their parents. //Autism, 19//(8), 906-914. https://doi.org/10.1177/1362361314553279
de Bruin, E.I., Zijlstra, B.J.H., & Bogels, S.M. (2014). The meaning of mindfulness in children and adolescents: Further validation of the child and adolescent mindfulness measure (CAMM) in two independent samples from the Netherlands. //Mindfulness, 5//(4), 422-430. https://doi.org/10.1007/s12671-013-0196-8
Deplus, S., Billieux, J., Scharff, C., & Philippot, P. (2016). A mindfulness-based group intervention for enhancing self-regulation of emotion in late childhood and adolescence: A pilot study. //International Journal of Mental Health and Addiction, 14//(5), 775-790. https://doi.org/10.1007/s11469-015-9627-1
DePrince, A.P., & Shirk, S.R. (2013). Adapting cognitive-behavioral therapy for depressed adolescents exposed to interpersonal trauma: A case study with two teens. //Cognitive and Behavioral Practice, 20//(2), 189-201. https://doi.org/10.1016/j.cbpra.2012.07.001
Donovan, E., Rodgers, R.F., Cousineau, T.M., McGowan, K.M., Luk, S., Yates, K., ... & Franko, D.L. (2016). Brief report: Feasibility of a mindfulness and self-compassion based mobile intervention for adolescents. //Journal of Adolescence, 53//, 217-221. https://doi.org/10.1016/j.adolescence.2016.09.009
Ebrahiminejad, S., Poursharifi, H., Roodsari, A.B., Zeinodini, Z., & Noorbakhsh, S. (2016). The effectiveness of mindfulness-based cognitive therapy on Iranian female adolescents suffering from social anxiety. //Iranian Red Crescent Medical Journal, 18//(11), e25116. https://doi.org/10.5812/ircmj.25116
Fossati, A., Feeney, J., Maffei, C., & Borroni, S. (2011). Does mindfulness mediate the association between attachment dimensions and borderline personality disorder features? A study of Italian non-clinical adolescents. //Attachment & Human Development, 13//(6), 563-578. https://doi.org/10.1080/14616734.2011.608993
Freedenberg, V.A., Hinds, P.S., & Friedmann, E. (2017). Mindfulness-based stress reduction and group support decrease stress in adolescents with cardiac diagnoses: A randomized two-group study. //Pediatric Cardiology, 38//(7), 1415-1425. https://doi.org/10.1007/s00246-017-1679-5
Freedenberg, V.A., Thomas, S.A., & Friedmann, E. (2015). A pilot study of a mindfulness based stress reduction program in adolescents with implantable cardioverter defibrillators or pacemakers. //Pediatric Cardiology, 36//(4), 786-795. https://doi.org/10.1007/s00246-014-1081-5
Friedel, S., Whittle, S.L., Vijayakumar, N., Simmons, J.G., Byrne, M.L., Schwartz, O.S., ... & Allen, N.B. (2015). Dispositional mindfulness is predicted by structural development of the insula during late adolescence. //Developmental Cognitive Neuroscience, 14//, 62-70. https://doi.org/10.1016/j.dcn.2015.07.001
Galla, B.M. (2016). Within-person changes in mindfulness and self-compassion predict enhanced emotional well-being in healthy, but stressed adolescents. //Journal of Adolescence, 49//, 204-217. https://doi.org/10.1016/j.adolescence.2016.03.016
Geurtzen, N., Scholte, R.H.J., Engels, R.C.M.E., Tak, Y.R., & van Zundert, R.M.P. (2015). Association between mindful parenting and adolescents' internalizing problems: Non-judgmental acceptance of parenting as core element. //Journal of Child and Family Studies, 24//(4), 1117-1128. https://doi.org/10.1007/s10826-014-9920-9
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
Greco, L.A., Baer, R.A., & Smith, G.T. (2011). Assessing mindfulness in children and adolescents: Development and validation of the child and adolescent mindfulness measure (CAMM). //Psychological Assessment, 23//(3), 606-614. https://doi.org/10.1037/a0022819
Harris, J.S., Stewart, D.G., & Stanton, B.C. (2017). Urge surfing as aftercare in adolescent alcohol use: A randomized control trial. //Mindfulness, 8//(1), 144-149. https://doi.org/10.1007/s12671-016-0588-7
Haydicky, J., Shecter, C., Wiener, J., & Ducharme, J.M. (2015). Evaluation of MBCT for adolescents with ADHD and their parents: Impact on individual and family functioning. //Journal of Child and Family Studies, 24//(1), 76-94. https://doi.org/10.1007/s10826-013-9815-1
Haydicky, J., Wiener, J., Badali, P., Milligan, K., & Ducharme, J.M. (2012). Evaluation of a mindfulness-based intervention for adolescents with learning disabilities and co-occurring ADHD and anxiety. //Mindfulness, 3//(2), 151-164. https://doi.org/10.1007/s12671-012-0089-2
Hayes, L., Bach, P.A., & Boyd, C.P. (2010). Psychological treatment for adolescent depression: Perspectives on the past, present, and future. //Behaviour Change, 27//(1), 1-18. https://doi.org/10.1375/bech.27.1.1
Hesse, T., Holmes, L.G., Kennedy-Overfelt, V., Kerr, L.M., & Giles, L.L. (2015). Mindfulness-based intervention for adolescents with recurrent headaches: A pilot feasibility study. //Evidence-based Complementary and Alternative Medicine, 2015//, 508958. https://doi.org/10.1155/2015/508958
Himelstein, S., Saul, S., Garcia-Romeu, A., & Pinedo, D. (2014). Mindfulness training as an intervention for substance user incarcerated adolescents: A pilot grounded theory study. //Substance Use & Misuse, 49//(5), 560-570. https://doi.org/10.3109/10826084.2013.852580
Johnson, C., Burke, C., Brinkman, S., & Wade, T. (2017). Development and validation of a multifactor mindfulness scale in youth: The Comprehensive Inventory of Mindfulness Experiences–Adolescents (CHIME-A). //Psychological Assessment, 29//(3), 264-281. https://doi.org/10.1037/pas0000342
Johnstone, J.M., Roake, C., Sheikh, I., Mole, A., Nigg, J.T., & Oken, B. (2016). School-based mindfulness intervention for stress reduction in adolescents: Design and methodology of an open-label, parallel group, randomized controlled trial. //Contemporary Clinical Trials communications, 4//, 99-104. https://doi.org/10.1016/j.conctc.2016.07.001
Jones, P., Blunda, M., Biegel, G., Carlson, L.E., Biel, M., & Wiener, L. (2013). Can mindfulness-based interventions help adolescents with cancer?. //Psycho-Oncology, 22//(9), 2148-2151. https://doi.org/10.1002/pon.3251
Kanen, J.W., Nazir, R., Sedky, K., & Pradhan, B.K. (2015). The effects of mindfulness-based interventions on sleep disturbance: A meta-analysis. //Adolescent Psychiatry, 5//(2), 105-115. https://doi.org/10.2174/2210676605666150311222928
Kuby, A.K., McLean, N., & Allen, K. (2015). Validation of the child and adolescent mindfulness measure (CAMM) with non-clinical adolescents. //Mindfulness, 6//(6), 1448-1455. https://doi.org/10.1007/s12671-015-0418-3
Lau, N.S., & Hue, M.T. (2011). Preliminary outcomes of a mindfulness-based programme for Hong Kong adolescents in schools: Well-being, stress and depressive symptoms. //International Journal of Childrens Spirituality, 16//(4), 315-330. https://doi.org/10.1080/1364436X.2011.639747
Lippold, M.A., Duncan, L.G., Coatsworth, J.D., Nix, R.L., & Greenberg, M.T. (2015). Understanding how mindful parenting may be linked to mother-adolescent communication. //Journal of Youth and Adolescence, 44//(9), 1663–1673. https://doi.org/10.1007/s10964-015-0325-x
Livheim, F., Hayes, L., Ghaderi, A., Magnusdottir, T., Hogfeldt, A., Rowse, J., ... & Tengstrom, A. (2015). The effectiveness of acceptance and commitment therapy for adolescent mental health: Swedish and Australian pilot outcomes. //Journal of Child and Family Studies, 24//(4), 1016-1030. https://doi.org/10.1007/s10826-014-9912-9
Luo, Y.M., Zhu, R.J., Ju, E.X., & You, X.Q. (2016). Validation of the Chinese version of the Mind-wandering Questionnaire (MWQ) and the mediating role of self-esteem in the relationship between mind-wandering and life satisfaction for adolescents. //Personality and Individual Differences, 92//, 118-122. https://doi.org/10.1016/j.paid.2015.12.028
Malboeuf-Hurtubise, C., Achille, M., Sultan, S., & Vadnais, M. (2013). Mindfulness-based intervention for teenagers with cancer: Study protocol for a randomized controlled trial. //Trials, 14//, 135. https://doi.org/10.1186/1745-6215-14-135
Marks, A.D.G., Sobanski, D.J., & Hine, D.W. (2010). Do dispositional rumination and/or mindfulness moderate the relationship between life hassles and psychological dysfunction in adolescents?. //Australian and New Zealand Journal of Psychiatry, 44//(9), 831-838. https://doi.org/10.3109/00048674.2010.487478
Marusak, H.A., Elrahal, F., Peters, C.A., Kundu, P., Lombardo, M.V., Calhoun, V.D., ... & Rabinak, C.A. (2018). Mindfulness and dynamic functional neural connectivity in children and adolescents. //Behavioural Brain Research, 336//, 211-218. https://doi.org/10.1016/j.bbr.2017.09.010
Mazzeo, S.E., Kelly, N.R., Stern, M., Palmberg, A.A., Belgrave, F.Z., Tanofsky-Kraff, M., ... & Bulik, C.M. (2013). Liber8 design and methods: An integrative intervention for loss of control eating among African American and white adolescent girls. //Contemporary Clinical Trials, 34//(1), 174-185. https://doi.org/10.1016/j.cct.2012.10.012
Metz, S.M., Frank, J.L., Reibel, D., Cantrell, T., Sanders, R., & Broderick, P.C. (2013). The effectiveness of the learning to breathe program on adolescent emotion regulation. //Research in Human Development, 10//(3), 252-272. https://doi.org/10.1080/15427609.2013.818488
Miller, A.L., Wyman, S.E., Huppert, J.D., Glassman, S.L., & Rathus, J.H. (2000). Analysis of behavioral skills utilized by suicidal adolescents receiving dialectical behavior therapy. //Cognitive and Behavioral Practice, 7//(2), 183-187. https://doi.org/10.1016/S1077-7229(00)80029-2
Mon, M.M., Liabsuetrakul, T., & Htut, K.M. (2016). Effectiveness of mindfulness intervention on psychological behaviors among adolescents with parental HIV infection: A group-randomized controlled trial. //Asia-Pacific Journal of Public Health, 28//(8), 765-775. https://doi.org/10.1177/1010539516675698
Mon, M.M., Liabsuetrakul, T., McNeil, E.B., & Htut, K.M. (2017). Mindfulness-integrated reproductive health package for adolescents with parental HIV infection: A group-randomized controlled trial. //Vulnerable Children and Youth Studies, 12//(2), 147-159. https://doi.org/10.1080/17450128.2017.1282072
Oberle, E., Schonert-Reichl, K.A., Lawlor, M.S., & Thomson, K.C. (2012). Mindfulness and inhibitory control in early adolescence. //Journal of Early Adolescence, 32//(4), 565-588. https://doi.org/10.1177/0272431611403741
Pepping, C.A., & Duvenage, M. (2016). The origins of individual differences in dispositional mindfulness. //Personality and Individual Differences, 93//, 130-136. https://doi.org/10.1016/j.paid.2015.05.027
Pepping, C.A., Duvenage, M., Cronin, T.J., & Lyons, A. (2016). Adolescent mindfulness and psychopathology: The role of emotion regulation. //Personality and Individual Differences, 99//, 302-307. https://doi.org/10.1016/j.paid.2016.04.089
Peters, A.T., Burkhouse, K., Feldhaus, C.C., Langenecker, S.A., & Jacobs, R.H. (2016). Aberrant resting-state functional connectivity in limbic and cognitive control networks relates to depressive rumination and mindfulness: A pilot study among adolescents with a history of depression. //Journal of Affective Disorders, 200//, 178-181. https://doi.org/10.1016/j.jad.2016.03.059
Petter, M., Chambers, C.T., McGrath, P.J., & Dick, B.D. (2013). The role of trait mindfulness in the pain experience of adolescents. //Journal of Pain, 14//(12), 1709-1718. https://doi.org/10.1016/j.jpain.2013.08.015
Petter, M., McGrath, P.J., Chambers, C.T., & Dick, B.D. (2014). The effects of mindful attention and state mindfulness on acute experimental pain among adolescents. //Journal of Pediatric Psychology, 39//(5), 521-531. https://doi.org/10.1093/jpepsy/jsu007
Pivarunas, B., Kelly, N.R., Pickworth, C.K., Cassidy, O., Radin, R.M., Shank, L.M., ... & Shomaker, L.B. (2015). Mindfulness and eating behavior in adolescent girls at risk for type 2 diabetes. //International Journal of Eating Disorders, 48//(6), 563-569. https://doi.org/10.1002/eat.22435
Przekop, P., Przekop, A., & Haviland, M.G. (2016). Multimodal compared to pharmacologic treatments for chronic tension-type headache in adolescents. //Journal of Bodywork and Movement Therapies, 20//(4), 715-721. https://doi.org/10.1016/j.jbmt.2015.02.003
Quach, D., Gibler, R.C., & Mano, K.E.J. (2017). Does home practice compliance make a difference in the effectiveness of mindfulness interventions for adolescents?. //Mindfulness, 8//(2), 495-504. https://doi.org/10.1007/s12671-016-0624-7
Quach, D., Mano, K.E.J., & Alexander, K. (2016). A randomized controlled trial examining the effect of mindfulness meditation on working memory capacity in adolescents. //Journal of Adolescent Health, 58//(5), 489-496. https://doi.org/10.1016/j.jadohealth.2015.09.024
Raes, F., Griffith, J.W., Van der Gucht, K., & Williams, J.M.G. (2014). School-based prevention and reduction of depression in adolescents: A cluster-randomized controlled trial of a mindfulness group program. //Mindfulness, 5//(5), 477-486. https://doi.org/10.1007/s12671-013-0202-1
Riggs, N.R., Black, D.S., & Ritt-Olson, A. (2015). Associations between dispositional mindfulness and executive function in early adolescence. //Journal of Child and Family Studies, 24//(9), 2745-2751. https://doi.org/10.1007/s10826-014-0077-3
Royuela-Colomer, E., & Calvete, E. (2016). Mindfulness facets and depression in adolescents: Rumination as a mediator. //Mindfulness, 7//(5), 1092-1102. https://doi.org/10.1007/s12671-016-0547-3
Saggino, A., Bartoccini, A., Sergi, M.R., Romanelli, R., Macchia, A., & Tommasi, M. (2017). Assessing mindfulness on samples of Italian children and adolescents: The validation of the Italian version of the child and adolescent mindfulness measure. //Mindfulness, 8//(5), 1364-1372. https://doi.org/10.1007/s12671-017-0712-3
Salmoirago-Blotcher, E., Druker, S., Meyer, F., Bock, B., Crawford, S., & Pbert, L. (2015). Design and methods for "commit to get fit" - A pilot study of a school-based mindfulness intervention to promote healthy diet and physical activity among adolescents. //Contemporary Clinical Trials, 41//, 248-258. https://doi.org/10.1016/j.cct.2015.02.004
Sams, D.P., Garrison, D., & Bartlett, J. (2016). Innovative strength-based care in child and adolescent inpatient psychiatry. //Journal of Child and Adolescent Psychiatric Nursing, 29//(3), 110-117. https://doi.org/10.1111/jcap.12147
Sharma, T., Sinha, V.K., & Sayeed, N. (2016). Role of mindfulness in dissociative disorders among adolescents. //Indian Journal of Psychiatry, 58//(3), 326-328. https://doi.org/10.4103/0019-5545.192013
Shin, H.S., Black, D.S., Shonkoff, E.T., Riggs, N.R., & Pentz, M.A. (2016). Associations among dispositional mindfulness, self-compassion, and executive function proficiency in early adolescents. //Mindfulness, 7//(6), 1377-1384. https://doi.org/10.1007/s12671-016-0579-8
Shomaker, L.B., Bruggink, S., Pivarunas, B., Skoranski, A., Foss, J., Chaffin, E., ... & Bell, C. (2017). Pilot randomized controlled trial of a mindfulness-based group intervention in adolescent girls at risk for type 2 diabetes with depressive symptoms. //Complementary Therapies in Medicine, 32//, 66-74. https://doi.org/10.1016/j.ctim.2017.04.003
Singh, N.N., Lancioni, G.E., Joy, S.D.S., Winton, A.S.W., Sabaawi, M., Wahler, R.G., ... & Singh, J. (2007). Adolescents with conduct disorder can be mindful of their aggressive behavior. //Journal of Emotional and Behavioral Disorders, 15//(1), 56-63. https://doi.org/10.1177/10634266070150010601
Singh, N.N., Lancioni, G.E., Manikam, R., Winton, A.S.W., Singh, A.N.A., Singh, J., ... & Singh, A.D.A. (2011). A mindfulness-based strategy for self-management of aggressive behavior in adolescents with autism. //Research in Autism Spectrum Disorders, 5//(3), 1153-1158. https://doi.org/10.1016/j.rasd.2010.12.012
Singh, N.N., Lancioni, G.E., Myers, R.E., Karazsia, B.T., Courtney, T.M., & Nugent, K. (2017). A mindfulness-based intervention for self-management of verbal and physical aggression by adolescents with Prader–Willi syndrome. //Developmental Neurorehabilitation, 20//(5), 253-260. https://doi.org/10.3109/17518423.2016.1141436
Singh, N.N., Lancioni, G.E., Singh, A.D.A., Winton, A.S.W., Singh, A.N.A., & Singh, J. (2011). Adolescents with Asperger syndrome can use a mindfulness-based strategy to control their aggressive behavior. //Research in Autism Spectrum Disorders, 5//(3), 1103-1109. https://doi.org/10.1016/j.rasd.2010.12.006
Singh, N.N., Lancioni, G.E., Singh, A.N., Winton, A.S.W., Singh, J., McAleavey, K.M., ... & Adkins, A.D. (2008). A mindfulness-based health wellness program for an adolescent with prader-willi syndrome. //Behavior Modification, 32//(2), 167-181. https://doi.org/10.1177/01454407308582
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Myers, R.E., Latham, L.L., ... & Singh, J. (2014). Mindfulness-based positive behavior support (MBPBS) for mothers of adolescents with autism spectrum disorder: Effects on adolescents' behavior and parental stress. //Mindfulness, 5//(6), 646-657. https://doi.org/10.1007/s12671-014-0321-3
Smith, O.R.F., Melkevik, O., Samdal, O., Larsen, T.M., & Haug, E. (2017). Psychometric properties of the five-item version of the Mindful Awareness Attention Scale (MAAS) in Norwegian adolescents. //Scandinavian Journal of Public Health, 45//(4), 373-380. https://doi.org/10.1177/1403494817699321
Sosin, L.S., & Rockinson-Szapkiw, A.J. (2016). Creative exposure intervention as part of clinical treatment for adolescents exposed to bullying and experiencing posttraumatic stress disorder symptoms. //Journal of Creativity in Mental Health, 11//(3-4), 391-408. https://doi.org/10.1080/15401383.2016.1251370
Tak, Y.R., Van Zundert, R.M.P., Kleinjan, M., & Engels, R.C.M.E. (2015). Mindful parenting and adolescent depressive symptoms: The few associations are moderated by adolescent gender and parental depressive symptoms. //Mindfulness, 6//(4), 812-823. https://doi.org/10.1007/s12671-014-0324-0
Tan, J.F., Yang, W., Ma, H.W., & Yu, Y.L. (2016). Adolescents' core self-evaluations as mediators of the effect of mindfulness on life satisfaction. //Social Behavior and Personality, 44//(7), 1115-1122. https://doi.org/10.2224/sbp.2016.44.7.1115
Tan, L., & Martin, G. (2013). Taming the adolescent mind: Preliminary report of a mindfulness-based psychological intervention for adolescents with clinical heterogeneous mental health diagnoses. //Clinical Child Psychology and Psychiatry, 18//(2), 300-312. https://doi.org/10.1177/1359104512455182
Tan, L., & Martin, G. (2015). Taming the adolescent mind: A randomised controlled trial examining clinical efficacy of an adolescent mindfulness-based group programme. //Child and Adolescent Mental Health, 20//(1), 49-55. https://doi.org/10.1111/camh.12057
Tan, L.B.G., & Martin, G. (2016). Mind full or mindful: A report on mindfulness and psychological health in healthy adolescents. //International Journal of Adolescence and Youth, 21//(1), 64-74. https://doi.org/10.1080/02673843.2012.709174
Turpyn, C.C., & Chaplin, T.M. (2016). Mindful parenting and parents' emotion expression: Effects on adolescent risk behaviors. //Mindfulness, 7//(1), 246-254. https://doi.org/10.1007/s12671-015-0440-5
van de Weijer-Bergsma, E., Formsma, A.R., de Bruin, E.I., & Bogels, S.M. (2012). The effectiveness of mindfulness training on behavioral problems and attentional functioning in adolescents with ADHD. //Journal of Child and Family Studies, 21//(5), 775-787. https://doi.org/10.1007/s10826-011-9531-7
Van der Gucht, K., Takano, K., Kuppens, P., & Raes, F. (2017). Potential moderators of the effects of a school-based mindfulness program on symptoms of depression in adolescents. //Mindfulness, 8//(3), 797-806. https://doi.org/10.1007/s12671-016-0658-x
Van Vliet, K.J., Foskett, A.J., Williams, J.L., Singhal, A., Dolcos, F., & Vohra, S. (2017). Impact of a mindfulness-based stress reduction program from the perspective of adolescents with serious mental health concerns. //Child and Adolescent Mental Health, 22//(1), 16-22. https://doi.org/10.1111/camh.12170
Vinas, F., Malo, S., Gonzalez, M., Navarro, D., & Casas, F. (2015). Assessing mindfulness on a sample of Catalan-speaking Spanish adolescents: validation of the Catalan version of the child and adolescent mindfulness measure. //Spanish Journal of Psychology, 18//, e46. https://doi.org/10.1017/sjp.2015.48
Warren, M.T., & Wray-Lake, L. (2017). Does mindfulness prepare adolescents for value-behavior concordance? Examining the role of value content. //Journal of Adolescence, 58//, 56-66. https://doi.org/10.1016/j.adolescence.2017.04.011
Welch, S.S., & Kim, J. (2012). DBT-enhanced cognitive behavioral therapy for adolescent trichotillomania: An adolescent case study. //Cognitive and Behavioral Practice, 19//(3), 483-493. https://doi.org/10.1016/j.cbpra.2011.11.002
Zylowska, L., Ackerman, D.L., Yang, M.H., Futrell, J.L., Horton, N.L., Hale, T.S., ... & Smalley, S.L. (2008). Mindfulness meditation training in adults and adolescents with ADHD a feasibility study. //Journal of Attention Disorders, 11//(6), 737-746. https://doi.org/10.1177/1087054707308502
Draper-Clarke, L.J., & Edwards, D.J.A. (2016). Stress and coping among student teachers at a South African university: An exploratory study. //Journal of Psychology in Africa, 26//(6), 491-499. https://doi.org/10.1080/14330237.2016.1250425
Morgan, J.R., Masuda, A., & Anderson, P.L. (2014). A preliminary analysis of the psychometric properties of the Mindful Attention Awareness Scale among African American college students. Mindfulness, 5(6), 639-645. https://doi.org/10.1007/s12671-013-0216-8
Nell, W. (2016). Mindfulness and psychological well-being among black South African university students and their relatives. //Journal of Psychology in Africa, 26//(6), 485-490. https://doi.org/10.1080/14330237.2016.1250419
Watson, N.N., Black, A.R., & Hunter, C.D. (2016). African American women's perceptions of mindfulness meditation training and gendered race-related stress. //Mindfulness, 7//(5), 1034-1043. https://doi.org/10.1007/s12671-016-0539-3
Womack, V.Y., & Sloan, L.R. (2017). The association of mindfulness and racial socialization messages on approach-oriented coping strategies among African Americans. //Journal of Black Studies, 48//(4), 408-426. https://doi.org/10.1177/0021934717696789
Adkins, A.D., Singh, A.N., Winton, A.S.W., McKeegan, G.F., & Singh, J. (2010). Using a mindfulness-based procedure in the community: Translating research to practice. //Journal of Child and Family Studies, 19//(2), 175-183. https://doi.org/10.1007/s10826-009-9348-9
Birnbaum, L. (2005). Adolescent aggression and differentiation of self: Guided mindfulness meditation in the service of individuation. //The Scientific World Journal, 5//, 478-489. https://doi.org/10.1100/tsw.2005.59
Borders, A., Earleywine, M., & Jajodia, A. (2010). Could mindfulness decrease anger, hostility, and aggression by decreasing rumination?. //Aggressive Behavior, 36//(1), 28-44. https://doi.org/10.1002/ab.20327
Eisenlohr-Moul, T.A., Peters, J.R., Pond, R.S., & DeWall, C.N. (2016). Both trait and state mindfulness predict lower aggressiveness via anger rumination: A multilevel mediation analysis. //Mindfulness, 7//(3), 713-726. https://doi.org/10.1007/s12671-016-0508-x
Franco, C., Amutio, A., Lopez-Gonzalez, L., Oriol, X., & Martinez-Taboada, C. (2016). Effect of a mindfulness training program on the impulsivity and aggression levels of adolescents with behavioral problems in the classroom. //Frontiers in Psychology, 7//,1385. https://doi.org/10.3389/fpsyg.2016.01385
Fresnics, A., & Borders, A. (2017). Angry rumination mediates the unique associations between self-compassion and anger and aggression. //Mindfulness, 8//(3), 554-564. https://doi.org/10.1007/s12671-016-0629-2
Fruzzetti, A.E., & Levensky, E.R. (2000). Dialectical behavior therapy for domestic violence: Rationale and procedures. //Cognitive and Behavioral Practice, 7//(4), 435-447. https://doi.org/10.1016/S1077-7229(00)80055-3
Gallagher, K.E., Hudepohl, A.D., & Parrott, D.J. (2010). Power of being present: The role of mindfulness on the relation between men's alcohol use and sexual aggression toward intimate partners. //Aggressive Behavior, 36//(6), 405-413. https://doi.org/10.1002/ab.20351
Gao, Y., Shi, L., Smith, K.C., Kingree, J.B., & Thompson, M. (2016). Physical aggression and mindfulness among college students: Evidence from china and the United states. //International Journal of Environmental Research and Public Health, 13//(5), 480. https://doi.org/10.3390/ijerph13050480
Haugvaldstad, M.J., & Husum, T.L. (2016). Influence of staffs emotional reactions on the escalation of patient aggression in mental health care. //International Journal of Law and Psychiatry, 49//, 130-137. https://doi.org/10.1016/j.ijlp.2016.09.001
Heppner, W.L., Kernis, M.H., Lakey, C.E., Campbell, W.K., Goldman, B.M., Davis, P.J., ... & Cascio, E.V. (2008). Mindfulness as a means of reducing aggressive behavior: Dispositional and situational evidence. //Aggressive Behavior, 34//(5), 486-496. https://doi.org/10.1002/ab.20258
Hoogsteder, L.M., Kuijpers, N., Stams, G.J.J.M., Van Horn, J.E., Hendriks, J., & Wissink, I.B. (2014). Study on the effectiveness of responsive aggression regulation therapy (Re-ART). //International Journal of Forensic Mental Health, 13//(1), 25-35. https://doi.org/10.1080/14999013.2014.893711
Kelley, T.M., & Lambert, E.G. (2012). Mindfulness as a potential means of attenuating anger and aggression for prospective criminal justice professionals. //Mindfulness, 3//(4), 261-274. https://doi.org/10.1007/s12671-012-0090-9
Krishnakumar, S., & Robinson, M.D. (2015). Maintaining an even keel: An affect-mediated model of mindfulness and hostile work behavior. //Emotion, 15//(5), 579-589. https://doi.org/10.1037/emo0000060
Liang, L.D.H., Lian, H.W., Brown, D.J., Ferris, D.L., Hanig, S., & Keeping, L.M. (2016). Why are abusive supervisors abusive? A dual-system self-control model. //Academy of Management Journal, 59//(4), 1385-1406. https://doi.org/10.5465/amj.2014.0651
Peters, J.R., Smart, L.M., Eisenlohr-Moul, T.A., Geiger, P.J., Smith, G.T., & Baer, R.A. (2015). Anger rumination as a mediator of the relationship between mindfulness and aggression: The utility of a multidimensional mindfulness model. //Journal of Clinical Psychology, 71//(9). 871-884. https://doi.org/10.1002/jclp.22189
Saavedra, M.C., Chapman, K.E., & Rogge, R.D. (2010). Clarifying links between attachment and relationship quality: Hostile conflict and mindfulness as moderators. //Journal of Family Psychology, 24//(4), 380-390. https://doi.org/10.1037/a0019872
Shorey, R.C., Elmquist, J., Anderson, S.E., & Stuart, G.L. (2015). Dispositional mindfulness and aggression among women in residential substance use treatment. //Substance Use & Misuse, 50//(14). 1840-1844. https://doi.org/10.3109/10826084.2015.1050112
Singh, N.N., Lancioni, G.E., Joy, S.D.S., Winton, A.S.W., Sabaawi, M., Wahler, R.G., ... & Singh, J. (2007). Adolescents with conduct disorder can be mindful of their aggressive behavior. //Journal of Emotional and Behavioral Disorders, 15//(1), 56-63. https://doi.org/10.1177/10634266070150010601
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Winton, A.S.W., Myers, R.E., Singh, A.N.A., ... & Singh, J. (2013). Mindfulness-based treatment of aggression in individuals with mild intellectual disabilities: A waiting list control study. //Mindfulness, 4//(2), 158-167. https://doi.org/10.1007/s12671-012-0180-8
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Winton, A.S.W., Singh, J., & Wahler, R.G. (2014). Shenpa and compassionate abiding: Mindfulness-based practices for anger and aggression by individuals with schizophrenia. //International Journal of Mental Health and Addiction, 12//(2), 138-152. https://doi.org/10.1007/s11469-013-9469-7
Singh, N.N., Lancioni, G.E., Manikam, R., Winton, A.S.W., Singh, A.N.A., Singh, J., ... & Singh, A.D.A. (2011). A mindfulness-based strategy for self-management of aggressive behavior in adolescents with autism. //Research in Autism Spectrum Disorders, 5//(3), 1153-1158. https://doi.org/10.1016/j.rasd.2010.12.012
Singh, N.N., Lancioni, G.E., Myers, R.E., Karazsia, B.T., Courtney, T.M., & Nugent, K. (2017). A mindfulness-based intervention for self-management of verbal and physical aggression by adolescents with Prader–Willi syndrome. //Developmental Neurorehabilitation, 20//(5), 253-260. https://doi.org/10.3109/17518423.2016.1141436
Singh, N.N., Lancioni, G.E., Singh, A.D.A., Winton, A.S.W., Singh, A.N.A., & Singh, J. (2011). Adolescents with Asperger syndrome can use a mindfulness-based strategy to control their aggressive behavior. //Research in Autism Spectrum Disorders, 5//(3), 1103-1109. https://doi.org/10.1016/j.rasd.2010.12.006
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Adkins, A.D., Singh, J., & Singh, A.N. (2007). Mindfulness training assists individuals with moderate mental retardation to maintain their community placements. //Behavior Modification, 31//(6), 800-814. https://doi.org/10.1177/0145445507300925
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Adkins, A.D., Wahler, R.G., Sabaawi, M., ... & Singh, J. (2007). Individuals with mental illness can control their aggressive behavior through mindfulness training. //Behavior Modification, 31//(3), 313-328. https://doi.org/10.1177/0145445506293585
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Curtis, W.J., Wahler, R.G., Sabaawi, M., ... & McAleavey, K. (2006). Mindful staff increase learning and reduce aggression in adults with developmental disabilities. //Research in Developmental Disabilities, 27//(5), 545-558. https://doi.org/10.1016/j.ridd.2005.07.002
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Myers, R.E., Latham, L.L., ... & Singh, J. (2014).Mindfulness-based positive behavior support (MBPBS) for mothers of adolescents with autism spectrum disorder: Effects on adolescents’ behavior and parental stress. //Mindfulness, 5//(6), 646-657. https://doi.org/10.1007/s12671-014-0321-3
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2008). Clinical and benefit-cost outcomes of teaching a mindfulness-based procedure to adult offenders with intellectual disabilities. //Behavior Modification, 32//(5), 622-637. https://doi.org/10.1177/0145445508315854
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2009). Mindful staff can reduce the use of physical restraints when providing care to individuals with intellectual disabilities. //Journal of Applied Research in Intellectual Disabilities, 22//(2), 194-202. https://doi.org/10.1111/j.1468-3148.2008.00488.x
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Singh, A.N.A., & Singh, A.D.A. (2011). Peer with intellectual disabilities as a mindfulness-based anger and aggression management therapist. //Research in Developmental Disabilities, 32//(6), 2690-2696. https://doi.org/10.1016/j.ridd.2011.06.003
Singh, N.N., Wahler, R.G., Adkins, A.D., & Myers, R.E. (2003). Soles of the feet: A mindfulness-based self-control intervention for aggression by an individual with mild mental retardation and mental illness. //Research in Developmental Disabilities, 24//(3), 158-169. https://doi.org/10.1016/S0891-4222(03)00026-X
Velotti, P., Garofalo, C., D'Aguanno, M., Petrocchi, C., Popolo, R., Salvatore, G., ... & Dimaggio, G. (2016). Mindfulness moderates the relationship between aggression and antisocial personality disorder traits: Preliminary investigation with an offender sample. //Comprehensive Psychiatry, 64//, 38-45. https://doi.org/10.1016/j.comppsych.2015.08.004
Wongtongkam, N., Day, A., Ward, P.R., & Winefield, A.H. (2015). The influence of mindfulness meditation on angry emotions and violent behavior on Thai technical college students. //European Journal of Integrative Medicine, 7//(2), 124-130. https://doi.org/10.1016/j.eujim.2014.10.007
Wupperman, P., Cohen, M.G., Haller, D.L., Flom, P., Litt, L.C., & Rounsaville, B.J. (2015). Mindfulness and modification therapy for behavioral dysregulation: A comparison trial focused on substance use and aggression. //Journal of Clinical Psychology, 71//(10), 964-978. https://doi.org/10.1002/jclp.22213
Yusainy, C., & Lawrence, C. (2014). Relating mindfulness and self-control to harm to the self and to others. //Personality and Individual Differences, 64//, 78-83. https://doi.org/10.1016/j.paid.2014.02.015
Yusainy, C., & Lawrence, C. (2015). Brief mindfulness induction could reduce aggression after depletion. //Consciousness and Cognition, 33//, 125-134. https://doi.org/10.1016/j.concog.2014.12.008
Zarling, A., & Berta, M. (2017). An acceptance and commitment therapy approach for partner aggression. //Partner Abuse, 8//(1), 89-109. https://doi.org/10.1891/1946-6560.8.1.89
Cram, W.A., & Newell, S. (2016). Mindful revolution or mindless trend? Examining agile development as a management fashion. //European Journal of Information Systems, 25//(2), 154-169. https://doi.org/10.1057/ejis.2015.13
McAvoy, J., Nagle, T., & Sammon, D. (2013). Using mindfulness to examine ISD agility. //Information Systems Journal, 23//(2), 155-172. https://doi.org/10.1111/j.1365-2575.2012.00405.x
Vidgen, R., & Wang, X.F. (2009). Coevolving systems and the organization of agile software development. //Information Systems Research, 20//(3), 355-376. https://doi.org/10.1287/isre.1090.0237
Adams, C.E., Cano, M.A., Heppner, W.L., Stewart, D.W., Correa-Fernandez, V., Vidrine, J.I., ... & Wetter, D.W. (2015). Testing a Moderated Mediation Model of Mindfulness, Psychosocial Stress, and Alcohol Use Among African American Smokers. //Mindfulness, 6//(2), 315-325. https://doi.org/10.1007/s12671-013-0263-1
Becker, A., Ehret, A.M., & Kirsch, P. (2017). From the neurobiological basis of comorbid alcohol dependence and depression to psychological treatment strategies: Study protocol of a randomized controlled trial. //BMC Psychiatry, 17//. https://doi.org/10.1186/s12888-017-1324-0
Bodenlos, J.S., Noonan, M., & Wells, S.Y. (2013). Mindfulness and alcohol problems in college students: The mediating effects of stress. //Journal of American College Health, 61//(6), 371-378. https://doi.org/10.1080/07448481.2013.805714
Bowen, S., Witkiewitz, K., Clifasefi, S.L., Grow, J., Chawla, N., Hsu, S.H., ... & Larimer, M.E. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders. //JAMA Psychiatry, 71//(5), 547-556. https://doi.org/10.1001/jamapsychiatry.2013.4546
Bravo, A.J., & Pearson, M.R. (2017). In the process of drinking to cope among college students: An examination of specific vs. global coping motives for depression and anxiety symptoms. //Addictive Behaviors, 73//, 94-98. https://doi.org/10.1016/j.addbeh.2017.05.001
Bravo, A.J., Pearson, M.R., Stevens, L.E., & Henson, J.M. (2016). Depressive symptoms and alcohol-related problems among college students: A moderated-mediated model of mindfulness and drinking to cope. //Journal of Studies on Alcohol and Drugs, 77//(4), 661-666. https://doi.org/10.15288/jsad.2016.77.661
Brett, E.I., Leffingwell, T.R., & Leavens, E.L. (2017). Trait mindfulness and protective strategies for alcohol use: Implications for college student drinking. //Addictive Behaviors, 73//, 16-21. https://doi.org/10.1016/j.addbeh.2017.04.011
Brooks, M., Kay-Lambkin, F., Bowman, J., & Childs, S. (2012). Self-compassion amongst clients with problematic alcohol use. //Mindfulness, 3//(4), 308-317. https://doi.org/10.1007/s12671-012-0106-5
Christopher, M., Ramsey, M., & Antick, J. (2013). The role of dispositional mindfulness in mitigating the impact of stress and impulsivity on alcohol-related problems. //Addiction Research & Theory, 21//(5), 429-434. https://doi.org/10.3109/16066359.2012.737873
Clerkin, E.M., Sarfan, L.D., Parsons, E.M., & Magee, J.C. (2017). Mindfulness facets, social anxiety, and drinking to cope with social anxiety: Testing mediators of drinking problems. //Mindfulness, 8//(1), 159-170. https://doi.org/10.1007/s12671-016-0589-6
Dvorak, R.D., Sargent, E.M., Kilwein, T.M., Stevenson, B.L., Kuvaas, N.J., & Williams, T.J. (2014). Alcohol use and alcohol-related consequences: Associations with emotion regulation difficulties. //American Journal of Drug and Alcohol Abuse, 40//(2), 125-130. https://doi.org/10.3109/00952990.2013.877920
Fernandez, A.C., Wood, M.D., Stein, L.A.R., & Rossi, J.S. (2010). Measuring mindfulness and examining its relationship with alcohol use and negative consequences. //Psychology of Addictive Behaviors, 24//(4), 608-616. https://doi.org/10.1037/a0021742
Gallagher, K.E., Hudepohl, A.D., & Parrott, D.J. (2010). Power of being present: The role of mindfulness on the relation between men's alcohol use and sexual aggression toward intimate partners. //Aggressive Behavior, 36//(6), 405-413. https://doi.org/10.1002/ab.20351
Garland, E.L. (2011). Trait mindfulness predicts attentional and autonomic regulation of alcohol cue-reactivity. //Journal of Psychophysiology, 25//(4), 180-189. https://doi.org/10.1027/0269-8803/a000060
Garland, E.L., Boettiger, C.A., Gaylord, S., Chanon, V.W., & Howard, M.O. (2012). Mindfulness is inversely associated with alcohol attentional bias among recovering alcohol-dependent adults. //Cognitive Therapy and Research, 36//(5), 441-450. https://doi.org/10.1007/s10608-011-9378-7
Garland, E.L., Franken, I.H.A., & Howard, M.O. (2012). Cue-elicited heart rate variability and attentional bias predict alcohol relapse following treatment. //Psychopharmacology, 222//(1), 17-26. https://doi.org/10.1007/s00213-011-2618-4
Garland, E.L., Gaylord, S.A., Boettiger, C.A., & Howard, M.O. (2010). Mindfulness training modifies cognitive, affective, and physiological mechanisms implicated in alcohol dependence: Results of a randomized controlled pilot trial. //Journal of Psychoactive Drugs, 42//(2), 177-192. https://doi.org/10.1080/02791072.2010.10400690
Harris, J.S., Stewart, D.G., & Stanton, B.C. (2017). Urge surfing as aftercare in adolescent alcohol use: A randomized control trial. //Mindfulness, 8//(1), 144-149. https://doi.org/10.1007/s12671-016-0588-7
Karyadi, K.A., & Cyders, M.A. (2015). Elucidating the association between trait mindfulness and alcohol use behaviors among college students. //Mindfulness, 6//(6), 1242-1249. https://doi.org/10.1007/s12671-015-0386-7
Leigh, J., & Neighbors, C. (2009). Enhancement motives mediate the positive association between mind/body awareness and college student drinking. //Journal of Social and Clinical Psychology, 28//(5), 650-669 .doi: 10.1521/jscp.2009.28.5.650
Libby, D.J., Worhunsky, P.D., Pilver, C.E., & Brewer, J.A. (2012). Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes. //Frontiers in Human Neuroscience, 6//. https://doi.org/10.3389/fnhum.2012.00054
McPherson, A., & Harris, L.M. (2015). Mindfulness, explicit and implicit alcohol expectancies in alcohol dependent and non-alcohol dependent adults. //International Journal of Mental Health and Addiction, 13//(4), 457-469. https://doi.org/10.1007/s11469-014-9538-6
Mermelstein, L.C., & Garske, J.P. (2015). A brief mindfulness intervention for college student binge drinkers: A pilot study. //Psychology of Addictive Behaviors, 29//(2), 259-269. https://doi.org/10.1037/adb0000040
Mindfulness and executive control weaken the relation between an implicit measure of alcohol valence and preoccupation with alcohol-related thoughts. //Psychology of Addictive Behaviors, 27//(4), 1153-1158. https://doi.org/10.1037/a0032621
Murphy, C., & MacKillop, J. (2012). Living in the here and now: Interrelationships between impulsivity, mindfulness, and alcohol misuse. //Psychopharmacology, 219//(2), 527-536. https://doi.org/10.1007/s00213-011-2573-0
Murphy, C.M., & MacKillop, J. (2014). Mindfulness as a strategy for coping with cue-elicited cravings for alcohol: An experimental examination. //Alcoholism-clinical and Experimental Research, 38//(4), 1134-1142. https://doi.org/10.1111/acer.12322
Ostafin, B.D., & Marlatt, G.A. (2008). Surfing the urge: Experiential acceptance moderates the relation between automatic alcohol motivation and hazardous drinking. //Journal of Social and Clinical Psychology, 27//(4), 404-418. https://doi.org/10.1521/jscp.2008.27.4.404
Ostafin, B.D., Bauer, C., & Myxter, P. (2012). Mindfulness decouples the relation between automatic alcohol motivation and heavy drinking. //Journal of Social and Clinical Psychology, 31//(7), 729-745.DOI: 10.1521/jscp.2012.31.7.729
Reynolds, A., Keough, M.T., & O'Connor, R.M. (2015). Is being mindful associated with reduced risk for internally-motivated drinking and alcohol use among undergraduates?. //Addictive Behaviors, 42//, 222-226. https://doi.org/10.1016/j.addbeh.2014.11.027
Roos, C.R., Pearson, M.R., & Brown, D.B. (2015). Drinking motives mediate the negative associations between mindfulness facets and alcohol outcomes among college students. //Psychology of Addictive Behaviors, 29//(1), 176-183. https://doi.org/10.1037/a0038529
Schellhas, L., Ostafin, B.D., Palfai, T.P., & de Jong, P.J. (2016). How to think about your drink: Action-identification and the relation between mindfulness and dyscontrolled drinking. //Addictive Behaviors, 56//, 51-56. https://doi.org/10.1016/j.addbeh.2016.01.007
Stasiewicz, P.R., Bradizza, C.M., Schlauch, R.C., Coffey, S.F., Gulliver, S.B., Gudleski, G.D., ... & Bole, C.W. (2013). Affect regulation training (art) for alcohol use disorders: Development of a novel intervention for negative affect drinkers. //Journal of Substance Abuse Treatment, 45//(5), 433-443. https://doi.org/10.1016/j.jsat.2013.05.012
Vieten, C., Astin, J.A., Buscemi, R., & Galloway, G.P. (2010). Development of an acceptance-based coping intervention for alcohol dependence relapse prevention. //Substance Abuse, 31//(2), 108-116. https://doi.org/10.1080/08897071003641594
Vinci, C., Peltier, M., Waldo, K., Kinsaul, J., Shah, S., Coffey, S.F., ... & Copeland, A.L. (2016). Examination of trait impulsivity on the response to a brief mindfulness intervention among college student drinkers. //Psychiatry Research, 242//, 365-374. https://doi.org/10.1016/j.psychres.2016.04.115
Vinci, C., Peltier, M.R., Shah, S., Kinsaul, J., Waldo, K., McVay, M.A., ... & Copeland, A.L. (2014). Effects of a brief mindfulness intervention on negative affect and urge to drink among college student drinkers. //Behaviour Research and Therapy, 59//, 82-93. https://doi.org/10.1016/j.brat.2014.05.012
Vinci, C., Spears, C.A., Peltier, M.R., & Copeland, A.L. (2016). Drinking motives mediate the relationship between facets of mindfulness and problematic alcohol use. //Mindfulness, 7//(3), 754-763. https://doi.org/10.1007/s12671-016-0515-y
Zgierska, A., Rabago, D., Zuelsdroff, M., Coe, C., Miller, M., & Fleming, M. (2008). Mindfulness meditation for alcohol relapse prevention: A feasibility pilot study. //Journal of Addiction Medicine, 2//(3), 165-173. https://doi.org/10.1097/ADM.0b013e31816f8546
Maisel, M.E., Stephenson, K.G., South, M., Rodgers, J., Freeston, M.H., & Gaigg, S.B. (2016). Modeling the cognitive mechanisms linking autism symptoms and anxiety in adults. //Journal of Abnormal Psychology, 125//(5), 692-703. https://doi.org/10.1037/abn0000168
Stasiewicz, P.R., Bradizza, C.M., Gudleski, G.D., Coffey, S.F., Schlauch, R.C., Bailey, S.T., ... & Gulliver, S.B. (2012). The relationship of alexithymia to emotional dysregulation within an alcohol dependent treatment sample. //Addictive Behaviors, 37//(4), 469-476. https://doi.org/10.1016/j.addbeh.2011.12.011
Teixeira, R.J., & Pereira, M.G. (2015). Examining mindfulness and its relation to self-differentiation and alexithymia. //Mindfulness, 6//(1), 79-87. https://doi.org/10.1007/s12671-013-0233-7
Chesley, J., & Wylson, A. (2016). Ambiguity: The emerging impact of mindfulness for change leaders. //Journal of Change Management, 16//(4), 317-336. https://doi.org/10.1080/14697017.2016.1230334
Haddock, G., Foad, C., Windsor-Shellard, B., Dummel, S., & Adarves-Yorno, I. (2017). On the attitudinal consequences of being mindful: Links between mindfulness and attitudinal ambivalence. //Personality and Social Psychology Bulletin, 43//(4), 439-452. https://doi.org/10.1177/0146167216688204
Plambeck, N., & Weber, K. (2010). When the glass is half full and half empty: CEOs' ambivalent interpretations of strategic issues. //Strategic Management Journal, 31//(7), 689-710. https://doi.org/10.1002/smj.835
Dean, A.C., Kohno, M., Hellemann, G., & London, E.D. (2014). Childhood maltreatment and amygdala connectivity in methamphetamine dependence: A pilot study. //Brain and Behavior, 4//(6), 867-876. https://doi.org/10.1002/brb3.289
Desbordes, G., Negi, L.T., Pace, T.W.W., Wallace, B.A., Raison, C.L., & Schwartz, E.L. (2012). Effects of mindful-attention and compassion meditation training on amygdala response to emotional stimuli in an ordinary, non-meditative state. //Frontiers in Human Neuroscience, 6//, 292. https://doi.org/10.3389/fnhum.2012.00292
Doll, A., Holzel, B.K., Bratec, S.M., Boucard, C.C., Xie, X.Y., Wohlschlager, A.M., ... & Sorg, C. (2016). Mindful attention to breath regulates emotions via increased amygdala-prefrontal cortex connectivity. //Neuroimage, 134//, 305-313. https://doi.org/10.1016/j.neuroimage.2016.03.041
Holzel, B.K., Carmody, J., Evans, K.C., Hoge, E.A., Dusek, J.A., Morgan, L., ... & Lazar, S.W. (2010). Stress reduction correlates with structural changes in the amygdala. //Social Cognitive and Affective Neuroscience, 5//(1), 11-17. https://doi.org/10.1093/scan/nsp034
Holzel, B.K., Hoge, E.A., Greve, D.N., Gard, T., Creswell, J.D., Brown, K.W., ... & Lazar, S.W. (2013). Neural mechanisms of symptom improvements in generalized anxiety disorder following mindfulness training. //Neuroimage: Clinical, 2//, 448-458. https://doi.org/10.1016/j.nicl.2013.03.011
Lutz, J., Bruhl, A.B., Scheerer, H., Jancke, L., & Herwig, U. (2016). Neural correlates of mindful self-awareness in mindfulness meditators and meditation-naive subjects revisited. //Biological Psychology, 119//, 21-30. https://doi.org/10.1016/j.biopsycho.2016.06.010
Lutz, J., Herwig, U., Opialla, S., Hittmeyer, A., Jancke, L., Rufer, M., ... & Bruhl, A.B. (2014). Mindfulness and emotion regulation—An fMRI study. //Social Cognitive and Affective Neuroscience, 9//(6), 776-785. https://doi.org/10.1093/scan/nst043
Taren, A.A., Creswell, J.D., & Gianaros, P.J. (2013). Dispositional mindfulness co-varies with smaller amygdala and caudate volumes in community adults. //PLOS ONE, 8//(5), e64574. https://doi.org/10.1371/journal.pone.0064574
Taren, A.A., Gianaros, P.J., Greco, C.M., Lindsay, E.K., Fairgrieve, A., Brown, K.W., ... & Creswell, J.D. (2015). Mindfulness meditation training alters stress-related amygdala resting state functional connectivity: A randomized controlled trial. //Social Cognitive and Affective Neuroscience, 10//(12), 1758-1768. https://doi.org/10.1093/scan/nsv066
Wang, L.H., Paul, N., Stanton, S.J., Greeson, J.M., & Smoski, M.J. (2013). Loss of sustained activity in the ventromedial prefrontal cortex in response to repeated stress in individuals with early-life emotional abuse: Implications for depression vulnerability. //Frontiers in Psychology, 4//, 320. https://doi.org/10.3389/fpsyg.2013.00320
Way, B.M., Creswell, J.D., Eisenberger, N.I., & Lieberman, M.D. (2010). Dispositional mindfulness and depressive symptomatology: Correlations with limbic and self-referential neural activity during rest. //Emotion, 10//(1), 12-24. https://doi.org/10.1037/a0018312
Eisenlohr-Moul, T.A., Peters, J.R., Pond, R.S., & DeWall, C.N. (2016). Both trait and state mindfulness predict lower aggressiveness via anger rumination: A multilevel mediation analysis. //Mindfulness, 7//(3), 713-726. https://doi.org/10.1007/s12671-016-0508-x
Fresnics, A., & Borders, A. (2017). Angry rumination mediates the unique associations between self-compassion and anger and aggression. //Mindfulness, 8//(3), 554-564. https://doi.org/10.1007/s12671-016-0629-2
Kashdan, T.B., Goodman, F.R., Mallard, T.T., & DeWall, C.N. (2016). What triggers anger in everyday life? Links to the intensity, control, and regulation of these emotions, and personality traits. //Journal of Personality, 84//(6), 737-749. https://doi.org/10.1111/jopy.12214
Peters, J.R., Smart, L.M., Eisenlohr-Moul, T.A., Geiger, P.J., Smith, G.T., & Baer, R.A. (2015). Anger rumination as a mediator of the relationship between mindfulness and aggression: The utility of a multidimensional mindfulness model. //Journal of Clinical Psychology, 71//(9), 871-884. https://doi.org/10.1002/jclp.22189
https://doi.org/10.1007/s12671-019-01136-4
Ando, M., Kira, H., Hayashida, S., & Ito, S. (2016). Effectiveness of the mindfulness art therapy short version for Japanese patients with advanced cancer. //Art Therapy, 33//(1), 35-40. https://doi.org/10.1080/07421656.2016.1128764
Burnside, L.D., Knecht, M.J., Hopley, E.K., & Logsdon, R.G. (2017). //here:now// - Conceptual model of the impact of an experiential arts program on persons with dementia and their care partners. //Dementia: The International Journal of Social Research and Practice, 16//(1), 29-45. https://doi.org/10.1177/1471301215577220
Diaz, F.M. (2013). Mindfulness, attention, and flow during music listening: An empirical investigation. //Psychology of Music, 41//(1), 42-58. https://doi.org/10.1177/0305735611415144
George, K.M. (2008). Ethical pleasure, visual //dzikir//, and artistic subjectivity in contemporary Indonesia. //Material Religion, 4//(2), 172-192. https://doi.org/10.2752/175183408X328299
Harrison, N.R., & Clark, D.P.A. (2016). The observing facet of trait mindfulness predicts frequency of aesthetic experiences evoked by the arts. //Mindfulness, 7//(4), 971-978. https://doi.org/10.1007/s12671-016-0536-6
Heaton, R., & Crumpler, A. (2017). Sharing mindfulness: A moral practice for artist teachers. //International Journal of Education and the Arts, 18//(26). https://eric.ed.gov/?id=EJ1146792
Jasani, S.K., & Saks, N.S. (2013). Utilizing visual art to enhance the clinical observation skills of medical students. //Medical Teacher, 35//(7), E1327-E1331. https://doi.org/10.3109/0142159X.2013.770131
Kalmanowitz, D., & Ho, R.T.H. (2016). Out of our mind. art therapy and mindfulness with refugees, political violence and trauma. //Arts in Psychotherapy, 49//, 57-65. https://doi.org/10.1016/j.aip.2016.05.012
Koetsch, G. (2011). Artists and the mind in the 21st century. //Frontiers in Human Neuroscience, 5//,110. https://doi.org/10.3389/fnhum.2011.00110
Lomas, T., Etcoff, N., Van Gordon, W., & Shonin, E. (2017). Zen and the art of living mindfully: The health-enhancing potential of Zen aesthetics. //Journal of Religion & Health, 56//(5), 1720-1739. https://doi.org/10.1007/s10943-017-0446-5
Maguire-Rosier, K. (2016). Moving 'Misfits'. //Australasian Drama Studies, 69//, 29-55. https://search.informit.com.au/documentSummary;dn=590682266081795;res=IELHSS
Patterson, J. (2015). Employing mindfulness via art in education. //International Journal of Education through Art, 11//(2), 185-192. https://doi.org/10.1386/eta.11.2.185_1
Peterson, C. (2015). "Walkabout: Looking in, looking out": A mindfulness-based art therapy program. //Art Therapy, 32//(2), 78-82. https://doi.org/10.1080/07421656.2015.1028008
Tam, H.L., Shik, A.W.Y., & Lam, S.S.L. (2016). Using expressive arts in relapse prevention of young psychotropic substance abusers in Hong Kong. //Children and Youth Services Review, 60//, 88-100. https://doi.org/10.1016/j.childyouth.2015.11.022
Zhu, Z.H., Wang, R.C., Kao, H.S.R., Zong, Y., Liu, Z.K., Tang, S., ... & Lam, S.P.W. (2014). Effect of calligraphy training on hyperarousal symptoms for childhood survivors of the 2008 China earthquakes. //Neuropsychiatric Disease and Treatment, 10//, 977-985. https://doi.org/10.2147/NDT.S55016
Aherne, C., Moran, A.P., & Lonsdale, C. (2011). The effect of mindfulness training on athletes' flow: An initial investigation. //Sport Psychologist, 25//(2), 177-189. https://doi.org/10.1123/tsp.25.2.177
Andersen, S.S., Hansen, P.O., & Haerem, T. (2015). How elite athletes reflect on their training: Strong beliefs - ambiguous feedback signals. //Reflective Practice, 16//(3), 403-417. https://doi.org/10.1080/14623943.2015.1052387
Bernier, M., Thienot, E., Pelosse, E., & Fournier, J.F. (2014). Effects and underlying processes of a mindfulness-based intervention with young elite figure skaters: Two case studies. //Sport Psychologist, 28//(3), 302-315. https://doi.org/10.1123/tsp.2013-0006
Bernier, M., Trottier, C., Thienot, E., & Fournier, J. (2016). An investigation of attentional foci and their temporal patterns: A naturalistic study in expert figure skaters. //Sport Psychologist, 30//(3), 256-266. https://doi.org/10.1123/tsp.2013-0076
Bortoli, L., Bertollo, M., Hanin, Y., & Robazza, C. (2012). Striving for excellence: A multi-action plan intervention model for shooters. //Psychology of Sport and Exercise, 13//(5), 693-701. https://doi.org/10.1016/j.psychsport.2012.04.006
Briegel-Jones, R.M.H., Knowles, Z., Eubank, M.R., Giannoulatos, K., & Elliot, D. (2013). A preliminary investigation into the effect of yoga practice on mindfulness and flow in elite youth swimmers. //Sport Psychologist, 27//(4), 349-359. https://doi.org/10.1123/tsp.27.4.349
Chen, L.H., Wu, C.H., & Chang, J.H. (2017). Gratitude and athletes' life satisfaction: The moderating role of mindfulness. //Journal of Happiness Studies, 18//(4), 1147-1159. https://doi.org/10.1007/s10902-016-9764-7
Denny, K., & Steiner, H. (2009). External and internal factors influencing happiness in elite collegiate athletes. //Child Psychiatry & Human Development, 40//(1), 55-72. https://doi.org/10.1007/s10578-008-0111-z
Fazli, Z., & Ghahari, S. (2017). The relationship between mindfulness and psychological well-being and coping strategies with stress among female basketball athletes in Tehran. //British Journal of Pharmaceutical Research, 17//(2). https://doi.org/10.9734/BJPR/2017/34105
Fereira-Vorkapic, C., Feitoza, J.P., Martins Dantas, E.H., & Bastos, A. (2017). The impact of yoga-based interventions on Jiu-jitsu wrestlers' psychological profile: A pilot study. //Gazzetta Medica Italiana Archivio per le Scienze Mediche, 176//(42924), 390-401. https://doi.org/10.23736/S0393-3660.17.03398-8
Gardner, F.L., & Moore, Z.E. (2004). A mindfulness-acceptance-commitment-based approach to athletic performance enhancement: Theoretical considerations. //Behavior Therapy, 35//(4), 707-723. https://doi.org/10.1016/S0005-7894(04)80016-9
Gustafsson, H., Davis, P., Skoog, T., Kentta, G., & Haberl, P. (2015). Mindfulness and its relationship with perceived stress, affect, and burnout in elite junior athletes. //Journal of Clinical Sport Psychology, 9//(3), 263-281. https://doi.org/10.1123/jcsp.2014-0051
Haase, L., May, A.C., Falahpour, M., Isakovic, S., Simmons, A.N., Hickman, S.D., ... & Paulus, M.P. (2015). A pilot study investigating changes in neural processing after mindfulness training in elite athletes. //Frontiers in Behavioral Neuroscience, 9//,229. https://doi.org/10.3389/fnbeh.2015.00229
Ivarsson, A., Johnson, U., Andersen, M.B., Fallby, J., & Altemyr, M. (2015). It pays to pay attention: A mindfulness-based program for injury prevention with soccer players. //Journal of Applied Sport Psychology, 27//(3), 319-334. https://doi.org/10.1080/10413200.2015.1008072
Jouper, J., & Gustafsson, H. (2013). Mindful recovery: A case study of a burned-out elite shooter. //Sport Psychologist, 27//(1), 92-102. https://doi.org/10.1123/tsp.27.1.92
Kaiseler, M., Poolton, J.M., Backhouse, S.H., & Stanger, N. (2017). The relationship between mindfulness and life stress in student-athletes: The mediating role of coping effectiveness and decision rumination. //Sport Psychologist, 31//(3), 288-298. https://doi.org/10.1123/tsp.2016-0083
Klockare, E., Gustafsson, H., Davis, P., & Lundqvist, C. (2015). Track and field athletes' experiences and perceived effects of flotation-REST. An interpretative phenomenological analysis. //International Journal of Sport Psychology, 46//(5), 409-428. https://doi.org/10.7352/IJSP.2015.46.409
Mosewich, A.D., Crocker, P.R.E., Kowalski, K.C., & DeLongis, A. (2013). Applying self-compassion in sport: An intervention with women athletes. //Journal of Sport & Exercise Psychology, 35//(5), 514-524. https://doi.org/10.1123/jsep.35.5.514
Nolte, K., Steyn, B.J.M., Kruger, P.E., & Fletcher, L. (2016). Mindfulness, psychological well-being and doping in talented young high-school athletes. //South African Journal for Research in Sport Physical Education and Recreation, 38//(2), 153-165. https://www.ajol.info/index.php/sajrs/article/view/141767
Richard, V., Halliwell, W., & Tenenbaum, G. (2017). Effects of an improvisation intervention on elite figure skaters' performance, self esteem, creativity, and mindfulness skills. //Sport Psychologist, 31//(3), 275-287. https://doi.org/10.1123/tsp.2016-0059
Rothlin, P., Horvath, S., Birrer, D., & Holtforth, M.G. (2016). Mindfulness promotes the ability to deliver performance in highly demanding situations. //Mindfulness, 7//(3), 727-733. https://doi.org/10.1007/s12671-016-0512-1
Scott-Hamilton, J., & Schutte, N.S. (2016). The role of adherence in the effects of a mindfulness intervention for competitive athletes: Changes in mindfulness, flow, pessimism, and anxiety. //Journal of Clinical Sport Psychology, 10//(2), 99-117. https://doi.org/10.1123/jcsp.2015-0020
Scott-Hamilton, J., Schutte, N.S., & Brown, R.F. (2016). Effects of a mindfulness intervention on sports-anxiety, pessimism, and flow in competitive cyclists. //Applied Psychology: Health and Well-Being, 8//(1), 85-103. https://doi.org/10.1111/aphw.12063
Scott-Hamilton, J., Schutte, N.S., Moyle, G.M., & Brown, R.E. (2016). The relationships between mindfulness, sport anxiety, pessimistic attributions and flow in competitive cyclists. //International Journal of Sport Psychology, 47//(2), 103-121. https://doi.org/10.7352/IJSP.2016.47.103
Vidic, Z., Martin, M.S., & Oxhandler, R. (2017). Mindfulness intervention with a US women's NCAA Division I basketball team: Impact on stress, athletic coping skills and perceptions of intervention. //Sport Psychologist, 31//(2), 147-159. https://doi.org/10.1123/tsp.2016-0077
Worthen, D., & Luiselli, J.K. (2016). Attitudes and opinions of female high school athletes about sports-focused mindfulness training and practices. //Journal of Clinical Sport Psychology, 10//(3), 177-191. https://doi.org/10.1123/jcsp.2016-0005
Zhang, C.Q., Chung, P.K., & Si, G.Y. (2017). Assessing acceptance in mindfulness with direct-worded items: The development and initial validation of the Athlete Mindfulness Questionnaire. //Journal of Sport and Health Science, 6//(3), 311-320. https://doi.org/10.1016/j.jshs.2015.09.010
Zhang, C.Q., Chung, P.K., Si, G.Y., & Gucciardi, D.F. (2016). Measuring decentering as a unidimensional construct: The development and initial validation of the Decentering Scale for Sport. //Psychology of Sport and Exercise, 24//, 147-158. https://doi.org/10.1016/j.psychsport.2016.02.006
Zhang, C.Q., Chung, P.K., Si, G.Y., & Liu, J.D. (2014). Psychometric properties of the Acceptance and Action Questionnaire-II for Chinese college students and elite Chinese athletes. //Measurement and Evaluation in Counseling and Development, 47//(4), 256-270. https://doi.org/10.1177/0748175614538064
Zhang, C.Q., Si, G.Y., Chung, P.K., & Gucciardi, D.F. (2016). Mindfulness and burnout in elite junior athletes: The mediating role of experiential avoidance. //Journal of Applied Sport Psychology, 28//(4), 437-451. https://doi.org/10.1080/10413200.2016.1162223
Fergus, T.A., Wheless, N.E., & Wright, L.C. (2014). The attention training technique, self-focused attention, and anxiety: A laboratory-based component study. //Behaviour Research and Therapy, 61//, 150-155. https://doi.org/10.1016/j.brat.2014.08.007
McEvoy, P.M., Graville, R., Hayes, S., Kane, R.T., & Foster, J.K. (2017). Mechanisms of change during attention training and mindfulness in high trait-anxious individuals: A randomized controlled study. //Behavior Therapy, 48//(5), 678-694.
Ostafin, B.D., Kassman, K.T., & Wessel, I. (2013). Breaking the cycle of desire: Mindfulness and executive control weaken the relation between an implicit measure of alcohol valence and preoccupation with alcohol-related thoughts. //Psychology of Addictive Behaviors, 27//(4), 1153-1158. https://doi.org/10.1037/a0032621
Sharpe, L., Perry, K.N., Rogers, P., Dear, B.F., Nicholas, M.K., & Refshauge, K. (2010). A comparison of the effect of attention training and relaxation on responses to pain. //Pain, 150//(3), 469-476. https://doi.org/10.1016/j.pain.2010.05.027
Taraban, O., Heide, F., Woollacott, M., & Chan, D. (2017). The effects of a mindful listening task on mind-wandering. //Mindfulness, 8//(2), 433-443. https://doi.org/10.1007/s12671-016-0615-8
Bachmann, K., Lam, A.P., & Philipsen, A. (2016). Mindfulness-based cognitive therapy and the adult ADHD brain: A neuropsychotherapeutic perspective. //Frontiers in Psychiatry, 7//, 117. https://doi.org/10.3389/fpsyt.2016.00117
Bueno, V.F., Kozasa, E.H., da Silva, M.A., Alves, T.M., Louza, M.R., & Pompeia, S. (2015). Mindfulness meditation improves mood, quality of life, and attention in adults with attention deficit hyperactivity disorder. //Biomed Research International, 2005//, 962857. https://doi.org/10.1155/2015/962857
Canu, W.H., & Wymbs, B.T. (2015). Novel approaches to cognitive-behavioral therapy for adult ADHD. //Cognitive and Behavioral Practice//, 22(2), 111-115. https://doi.org/10.1016/j.cbpra.2015.01.002
Cassone, A.R. (2015). Mindfulness training as an adjunct to evidence-based treatment for ADHD within families. //Journal of Attention Disorders, 19//(2), 147-157. https://doi.org/10.1177/1087054713488438
Edel, M.A., Holter, T., Wassink, K., & Juckel, G. (2017). A comparison of mindfulness-based group training and skills group training in adults with ADHD: An open study. //Journal of Attention Disorders, 21//(6), 533-539. https://doi.org/10.1177/1087054714551635
Hesslinger, B., van Elst, L.T., Nyberg, E., Dykierek, P., Richter, H., Berner, M., ... & Ebert, D. (2002). Psychotherapy of attention deficit hyperactivity disorder in adults - A pilot study using a structured skills training program. //European Archives of Psychiatry and Clinical Neuroscience, 252//(4), 177-184. https://doi.org/10.1007/s00406-002-0379-0
Janssen, L., Kan, C.C., Carpentier, P.J., Sizoo, B., Hepark, S., Grutters, J., ... & Speckens, A.E.M. (2015). Mindfulness based cognitive therapy versus treatment as usual in adults with attention deficit hyperactivity disorder (ADHD). //BMC Psychiatry, 15//, 216. https://doi.org/10.1186/s12888-015-0591-x
Keith, J.R., Blackwood, M.E., Mathew, R.T., & Lecci, L.B. (2017). Self-reported mindful attention and awareness, go/no-go response-time variability, and attention-deficit hyperactivity disorder. //Mindfulness, 8//(3), 765-774. https://doi.org/10.1007/s12671-016-0655-0
Lo, H.H.M., Wong, S.Y.S., Wong, J.Y.H., Wong, S.W.L., & Yeung, J.W.K. (2016). The effect of a family-based mindfulness intervention on children with attention deficit and hyperactivity symptoms and their parents: Design and rationale for a randomized, controlled clinical trial (study protocol). //BMC Psychiatry, 16//, 65. https://doi.org/10.1186/s12888-016-0773-1
Meppelink, R., de Bruin, E.I., & Bogels, S.M. (2016). Meditation or medication? Mindfulness training versus medication in the treatment of childhood ADHD: A randomized controlled trial. //BMC Psychiatry, 16//, 267. https://doi.org/10.1186/s12888-016-0978-3
Miller, C.J., & Brooker, B. (2017). Mindfulness programming for parents and teachers of children with ADHD. //Complementary Therapies in Clinical Practice, 28//, 108-115. https://doi.org/10.1016/j.ctcp.2017.05.015
Mitchell, J.T., McIntyre, E.M., English, J.S., Dennis, M.F., Beckham, J.C., & Kollins, S.H. (2017). A pilot trial of mindfulness meditation training for ADHD in adulthood: Impact on core symptoms, executive functioning, and emotion dysregulation. //Journal of Attention Disorders, 21//(13), 1105-1120. https://doi.org/10.1177/1087054713513328
Mitchell, J.T., Zylowska, L., & Kollins, S.H. (2015). Mindfulness meditation training for attention-deficit/hyperactivity disorder in adulthood: Current empirical support, treatment overview, and future directions. //Cognitive and Behavioral Practice, 22//(2), 172-191. https://doi.org/10.1016/j.cbpra.2014.10.002
Murrell, A.R., Lester, E.G., & Sandoz, E.K. (2015). Grounding turbulent minds: The challenges of mindfulness-based interventions for college students with ADHD and how to overcome them. //Journal of College Student Psychotherapy, 29//(4), 314-328. https://doi.org/10.1080/87568225.2015.1074022
Schoenberg, P.L.A., Hepark, S., Kan, C.C., Barendregt, H.P., Buitelaar, J.K., & Speckens, A.E.M. (2014). Effects of mindfulness-based cognitive therapy on neurophysiological correlates of performance monitoring in adult attention-deficit/hyperactivity disorder. //Clinical Neurophysiology, 125//(7), 1407-1416. https://doi.org/10.1016/j.clinph.2013.11.031
Smalley, S.L., Loo, S.K., Hale, T.S., Shrestha, A., & McGough, J. (2009). Mindfulness and attention deficit hyperactivity disorder. //Journal of Clinical Psychology, 65//(10), 1087-1098. https://doi.org/10.1002/jclp.20618
van der Oord, S., Bogels, S.M., & Peijnenburg, D. (2012). The effectiveness of mindfulness training for children with ADHD and mindful parenting for their parents. //Journal of Child and Family Studies, 21//(1), 139-147. https://doi.org/10.1007/s10826-011-9457-0
Zylowska, L., Ackerman, D.L., Yang, M.H., Futrell, J.L., Horton, N.L., Hale, T.S., ... & Smalley, S.L. (2008). Mindfulness meditation training in adults and adolescents with ADHD: A feasibility study. //Journal of Attention Disorders, 11//(6), 737-746. https://doi.org/10.1177/1087054707308502
Crawley, R. (2015). Trait mindfulness and autobiographical memory specificity. //Cognitive Processing, 16//(1), 79-86. https://doi.org/10.1007/s10339-014-0631-3
Gadeikis, D., Bos, N., Schweizer, S., Murphy, F., & Dunn, B. (2017). Engaging in an experiential processing mode increases positive emotional response during recall of pleasant autobiographical memories. //Behaviour Research and Therapy, 92//, 68-76. https://doi.org/10.1016/j.brat.2017.02.005
Heeren, A., Van Broeck, N., & Philippot, P. (2009). The effects of mindfulness on executive processes and autobiographical memory specificity. //Behaviour Research and Therapy, 47//(5), 403-409. https://doi.org/10.1016/j.brat.2009.01.017
Kuyken, W., & Moulds, M.L. (2009). Remembering as an observer: How is autobiographical memory retrieval vantage perspective linked to depression?. //Memory, 17//(6), 624-634. https://doi.org/10.1080/09658210902984526
Smallwood, J., O'Connor, R.C., Sudbery, M.V., & Obonsawin, M. (2007). Mind-wandering and dysphoria. //Cognition & Emotion, 21//(4), 816-842. https://doi.org/10.1080/02699930600911531
van den Hout, M.A., Engelhard, I.M., Beetsma, D., Slofstra, C., Hornsveld, H., Houtveen, J., ... & Leer, A. (2011). EMDR and mindfulness. Eye movements and attentional breathing tax working memory and reduce vividness and emotionality of aversive ideation. //Journal of Behavior Therapy and Experimental Psychiatry, 42//(4), 423-431. https://doi.org/10.1016/j.jbtep.2011.03.004
Watkins, E., & Teasdale, J.D. (2004). Adaptive and maladaptive self-focus in depression. //Journal of Affective Disorders, 82//(1), 1-8. https://doi.org/10.1016/j.jad.2003.10.006
Williams, J.M.G., Teasdale, J.D., Segal, Z.V., & Soulsby, J. (2000). Mindfulness-based cognitive therapy reduces overgeneral autobiographical memory in formerly depressed patients. //Journal of Abnormal Psychology, 109//(1), 150-155. https://doi.org/10.1037//0021-843X.109.1.150
Akin, A. (2012). Self-compassion and automatic thoughts. //Hacettepe Universitesi Egitim Fakultesi Dergisi, (42)//, 1-10.
Bakker, G.M. (2009). In defence of thought stopping. //Clinical Psychologist, 13//(2), 59-68. https://doi.org/10.1080/13284200902810452
Baldin, E., Hauser, W.A., Pack, A., & Hesdorffer, D.C. (2017). Stress is associated with an increased risk of recurrent seizures in adults. //Epilepsia, 58//(6), 1037-1046. https://doi.org/10.1111/epi.13741
Barnes, R.D., & Tantleff-Dunn, S. (2010). A preliminary investigation of sex differences and the mediational role of food thought suppression in the relationship between stress and weight cycling. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 15//(4), e265-e269.
Barnes, R.D., & Tantleff-Dunn, S. (2010). Food for thought: Examining the relationship between food thought suppression and weight-related outcomes. //Eating Behaviors, 11//(3), 175-179. https://doi.org/10.1016/j.eatbeh.2010.03.001
Baslet, G., Dworetzky, B., Perez, D.L., & Oser, M. (2015). Treatment of psychogenic nonepileptic seizures: Updated review and findings from a mindfulness-based intervention case series. //Clinical Eeg and Neuroscience, 46//(1), 54-64. https://doi.org/10.1177/1550059414557025
Bayer, J.B., & Campbell, S.W. (2012). Texting while driving on automatic: Considering the frequency-independent side of habit. //Computers in Human Behavior, 28//(6), 2083-2090. https://doi.org/10.1016/j.chb.2012.06.012
Bayer, J.B., Dal Cin, S., Campbell, S.W., & Panek, E. (2016). Consciousness and self-regulation in mobile communication. //Human Communication Research, 42//(1), 71-97. https://doi.org/10.1111/hcre.12067
Beblo, T., Fernando, S., Kamper, P., Griepenstroh, J., Aschenbrenner, S., Pastuszak, A., ... & Driessen, M. (2013). Increased attempts to suppress negative and positive emotions in borderline personality disorder. //Psychiatry Research, 210//(2), 505-509. https://doi.org/10.1016/j.psychres.2013.06.036
Beblo, T., Fernando, S., Klocke, S., Griepenstroh, J., Aschenbrenner, S., & Driessen, M. (2012). Increased suppression of negative and positive emotions in major depression. //Journal of Affective Disorders, 141//(42769), 474-479. https://doi.org/10.1016/j.jad.2012.03.019
Bowen, S., Witkiewitz, K., Dillworth, T.M., & Marlatt, G.A. (2007). The role of thought suppression in the relationship between mindfulness meditation and alcohol use. //Addictive Behaviors, 32//(10), 2324-2328. https://doi.org/10.1016/j.addbeh.2007.01.025
Braams, B.R., Blechert, J., Boden, M.T., & Gross, J.J. (2012). The effects of acceptance and suppression on anticipation and receipt of painful stimulation. //Journal of Behavior Therapy and Experimental Psychiatry, 43//(4), 1014-1018. https://doi.org/10.1016/j.jbtep.2012.04.001
Brockman, R., Ciarrochi, J., Parker, P., & Kashdan, T. (2017). Emotion regulation strategies in daily life: Mindfulness, cognitive reappraisal and emotion suppression. //Cognitive Behaviour Therapy, 46//(2), 91-113. https://doi.org/10.1080/16506073.2016.1218926
Bullis, J.R., Boe, H.J., Asnaani, A., & Hofmann, S.G. (2014). The benefits of being mindful: Trait mindfulness predicts less stress reactivity to suppression. //Journal of Behavior Therapy and Experimental Psychiatry, 45//(1), 57-66. https://doi.org/10.1016/j.jbtep.2013.07.006
Carlson, P., & Perry, K.N. (2017). Psychological interventions for psychogenic non-epileptic seizures: A meta-analysis. //Seizure - European Journal of Epilepsy, 45//, 142-150. https://doi.org/10.1016/j.seizure.2016.12.007
Currie, L.M., Desjardins, K.S., Levine, E., Stone, P.W., Schnall, R., Li, J.H., ... & Bakken, S. (2009). Web-based hazard and near-miss reporting as part of a patient safety curriculum. //Journal of Nursing Education, 48//(12), 669-677. https://doi.org/10.3928/01484834-20091113-03
Djikic, M., Langer, E.J., & Stapleton, S.F. (2008). Reducing stereotyping through mindfulness: Effects on automatic stereotype-activated behaviors. //Journal of Adult Development, 15//(2), 106-111. https://doi.org/10.1007/s10804-008-9040-0
Erskine, J.A.K., Georgiou, G.J., Joshi, M., Deans, A., & Colegate, C. (2017). Ageing and thought suppression performance: Its relationship with working memory capacity, habitual thought suppression and mindfulness. //Consciousness and Cognition, 53//, 211-221. https://doi.org/10.1016/j.concog.2017.06.019
Erskine, J.A.K., Rawaf, D., Grice, S., & Ussher, M. (2015). Effect of suppressing thoughts of desire to smoke on ratings of desire to smoke and tobacco withdrawal symptoms. //Sage Open, 5//(1), 1-8. https://doi.org/10.1177/2158244015572488
Erskine, J.A.K., Ussher, M., Cropley, M., Elgindi, A., Zaman, M., & Corlett, B. (2012). Effect of thought suppression on desire to smoke and tobacco withdrawal symptoms. //Psychopharmacology, 219//(1), 205-211. https://doi.org/10.1007/s00213-011-2391-4
Farris, S.R., Ostafin, B.D., & Palfai, T.P. (2010). Distractibility moderates the relation between automatic alcohol motivation and drinking behavior. //Psychology of Addictive Behaviors, 24//(1), 151-156. https://doi.org/10.1037/a0018294
Frewen, P.A., Evans, E.M., Maraj, N., Dozois, D.J.A., & Partridge, K. (2008). Letting go: Mindfulness and negative automatic thinking. //Cognitive Therapy and Research, 32//(6), 758-774. https://doi.org/10.1007/s10608-007-9142-1
Garland, E.L., & Roberts-Lewis, A. (2013). Differential roles of thought suppression and dispositional mindfulness in posttraumatic stress symptoms and craving. //Addictive Behaviors, 38//(2), 1555-1562. https://doi.org/10.1016/j.addbeh.2012.02.004
Garland, E.L., Boettiger, C.A., & Howard, M.O. (2011). Targeting cognitive-affective risk mechanisms in stress-precipitated alcohol dependence: An integrated, biopsychosocial model of automaticity, allostasis, and addiction. //Medical Hypotheses, 76//(5), 745-754. https://doi.org/10.1016/j.mehy.2011.02.014
Greenberg, J., Shapero, B.G., Mischoulon, D., & Lazar, S.W. (2017). Mindfulness-based cognitive therapy for depressed individuals improves suppression of irrelevant mental-sets. //European Archives of Psychiatry and Clinical Neuroscience, 267//(3), 277-282. https://doi.org/10.1007/s00406-016-0746-x
Hepburn, S.R., Crane, C., Barnhofer, T., Duggan, D.S., Fennell, M.J.V., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy may reduce thought suppression in previously suicidal participants: Findings from a preliminary study. //British Journal of Clinical Psychology, 48//, 209-215. https://doi.org/10.1348/014466509X414970
Hesser, H., Molander, P., Jungermann, M., & Andersson, G. (2013). Costs of suppressing emotional sound and countereffects of a mindfulness induction: An experimental analog of tinnitus impact. //PLOS ONE, 8//(5), e64540. https://doi.org/10.1371/journal.pone.0064540
Hooper, N., Davies, N., Davies, L., & McHugh, L. (2011). Comparing thought suppression and mindfulness as coping techniques for spider fear. //Consciousness and Cognition, 20//(4), 1824-1830. https://doi.org/10.1016/j.concog.2011.05.013
Isbel, B., & Mahar, D. (2015). Cognitive mechanisms of mindfulness: A test of current models. //Consciousness and Cognition, 38//, 50-59. https://doi.org/10.1016/j.concog.2015.10.005
Jazaieri, H., Goldin, P.R., & Gross, J.J. (2017). Treating social anxiety disorder with CBT: Impact on emotion regulation and satisfaction with life. //Cognitive Therapy and Research, 41//(3), 406-416. https://doi.org/10.1007/s10608-016-9762-4
Jones, S.M., Bodie, G.D., & Koerner, A.F. (2017). Connections between family communication patterns, person-centered message evaluations, and emotion regulation strategies. //Human Communication Research, 43//(2), 237-255. https://doi.org/10.1111/hcre.12103
Keng, S.L., Tan, E.L.Y., Eisenlohr-Moul, T.A., & Smoski, M.J. (2017). Effects of mindfulness, reappraisal, and suppression on sad mood and cognitive resources. //Behaviour Research and Therapy, 91//, 33-42. https://doi.org/10.1016/j.brat.2017.01.006
Lalot, F., Delplanque, S., & Sander, D. (2014). Mindful regulation of positive emotions: A comparison with reappraisal and expressive suppression. //Frontiers in Psychology, 5//,243. https://doi.org/10.3389/fpsyg.2014.00243
Lappalainen, P., Langrial, S., Oinas-Kukkonen, H., Tolvanen, A., & Lappalainen, R. (2015). Web-based acceptance and commitment therapy for depressive symptoms with minimal support: A randomized controlled trial. //Behavior Modification, 39//(6), 805-834. https://doi.org/10.1177/0145445515598142
Lavender, J.M., Jardin, B.F., & Anderson, D.A. (2009). Bulimic symptoms in undergraduate men and women: Contributions of mindfulness and thought suppression. //Eating Behaviors, 10//(4), 228-231. https://doi.org/10.1016/j.eatbeh.2009.07.002
Levesque, C., Copeland, K.J., & Sutcliffe, R.A. (2008). Conscious and nonconscious processes: Implications for self-determination theory. //Canadian Psychology-psychologie Canadienne, 49//(3), 218-224. https://doi.org/10.1037/a0012756
Lifshitz, M., Bonn, N.A., Fischer, A., Kashem, I.F., & Raz, A. (2013). Using suggestion to modulate automatic processes: From Stroop to McGurk and beyond. //Cortex, 49//(2), 463-473. https://doi.org/10.1016/j.cortex.2012.08.007
Lindsay, S. (2014).Can hyper-synchrony in meditation lead to seizures? Similarities in meditative and epileptic brain states. //Medical Hypotheses, 83//(4), 465-472. https://doi.org/10.1016/j.mehy.2014.07.015
MacDonald, H.Z., & Baxter, E.E. (2017). Mediators of the relationship between dispositional mindfulness and psychological well-being in female college students. //Mindfulness, 8//(2), 398-407. https://doi.org/10.1007/s12671-016-0611-z
May, J., Andrade, J., Batey, H., Berry, L.M., & Kavanagh, D.J. (2010). Less food for thought. Impact of attentional instructions on intrusive thoughts about snack foods. //Appetite, 55//(2), 279-287. https://doi.org/10.1016/j.appet.2010.06.014
Michaelis, R., & Berger, B. (2017). Mindfulness-based therapy enhances quality of life in drug-resistant epilepsy. //Complementary Medicine Research, 24//(4), 210-213.
Michaelis, R., Niedermann, C., & Berger, B. (2017). How can we enhance the sense of self-efficacy in epilepsy? Individual responses from 2 qualitative case reports. //Complementary Medicine Research, 24//(4), 215-224. https://doi.org/10.1159/000468986
Moss, A.C., Erskine, J.A.K., Albery, I.P., Allen, J.R., & Georgiou, G.J. (2015). To suppress, or not to suppress? that is repression: Controlling intrusive thoughts in addictive behaviour. //Addictive Behaviors, 44//, 65-70. https://doi.org/10.1016/j.addbeh.2015.01.029
Murakami, H., Katsunuma, R., Oba, K., Terasawa, Y., Motomura, Y., Mishima, K., ... & Moriguchi, Y. (2015). Neural networks for mindfulness and emotion suppression. //PLOS ONE, 10//(6), e0128005. https://doi.org/10.1371/journal.pone.0128005
Nitzan-Assayag, Y., Yuval, K., Tanay, G., Aderka, I.M., Vujanovic, A.A., Litz, B., ... & Bernstein, A. (2017). Reduced reactivity to and suppression of thoughts mediate the effects of mindfulness training on recovery outcomes following exposure to potentially traumatic stress. //Mindfulness, 8//(4), 920-932. https://doi.org/10.1007/s12671-016-0666-x
Ostafin, B.D., & Marlatt, G.A. (2008). Surfing the urge: Experiential acceptance moderates the relation between automatic alcohol motivation and hazardous drinking. //Journal of Social and Clinical Psychology, 27//(4), 404-418. https://doi.org/10.1521/jscp.2008.27.4.404
Ostafin, B.D., Bauer, C., & Myxter, P. (2012). Mindfulness decouples the relation between automatic alcohol motivation and heavy drinking. //Journal of Social and Clinical Psychology, 31//(7), 729-745.
Ostafin, B.D., Kassman, K.T., & Wessel, I. (2013). Breaking the cycle of desire: Mindfulness and executive control weaken the relation between an implicit measure of alcohol valence and preoccupation with alcohol-related thoughts. //Psychology of Addictive Behaviors, 27//(4), 1153-1158. https://doi.org/10.1037/a0032621
Pat-Horenczyk, R., Shi, C.S.W., Schramm-Yavin, S., Bar-Halpern, M., & Tan, L.J. (2015). Building emotion and affect regulation (bear): Preliminary evidence from an open trial in children's residential group homes in Singapore. //Child & Youth Care Forum, 44//(2), 175-190. https://doi.org/10.1007/s10566-014-9276-8
Rasanen, P., Lappalainen, P., Muotka, J., Tolvanen, A., & Lappalainen, R. (2016). An online guided act intervention for enhancing the psychological wellbeing of university students: A randomized controlled clinical trial. //Behaviour Research and Therapy, 78//, 30-42. https://doi.org/10.1016/j.brat.2016.01.001
Riley, B. (2014). Experiential avoidance mediates the association between thought suppression and mindfulness with problem gambling. //Journal of Gambling Studies, 30//(1), 163-171. https://doi.org/10.1007/s10899-012-9342-9
Rogojanski, J., Vettese, L.C., & Antony, M.M. (2011). Role of sensitivity to anxiety symptoms in responsiveness to mindfulness versus suppression strategies for coping with smoking cravings. //Journal of Clinical Psychology, 67//(4), 439-445. https://doi.org/10.1002/jclp.20774
Senay, I., Cetinkaya, M., & Usak, M. (2012). Accepting test-anxiety-related thoughts increases academic performance among undergraduate students. //Psihologija, 45//(4), 417-432. https://doi.org/10.2298/PSI1204417S
Tang, V., Poon, W.S., & Kwan, P. (2015). Mindfulness-based therapy for drug-resistant epilepsy an assessor-blinded randomized trial. //Neurology, 85//(13), 1100-1107. https://doi.org/10.1212/WNL.0000000000001967
Thompson, N.J., Patel, A.H., Selwa, L.M., Stoll, S.C., Begley, C.E., Johnson, E.K., ... & Fraser, R.T. (2015). Expanding the efficacy of project uplift: Distance delivery of mindfulness-based depression prevention to people with epilepsy. //Journal of Consulting and Clinical Psychology, 83//(2), 304-313. https://doi.org/10.1037/a0038404
Wegner, D.M. (2011). Setting free the bears: Escape from thought suppression. //American Psychologist, 66//(8), 671-680.
Welch, S.S., & Kim, J. (2012). DBT-enhanced cognitive behavioral therapy for adolescent trichotillomania: An adolescent case study. //Cognitive and Behavioral Practice, 19//(3), 483-493. https://doi.org/10.1016/j.cbpra.2011.11.002
Wolgast, M., Lundh, L.G., & Viborg, G. (2013). Experiential avoidance as an emotion regulatory function: An empirical analysis of experiential avoidance in relation to behavioral avoidance, cognitive reappraisal, and response suppression. //Cognitive Behaviour Therapy, 42//(3), 224-232. https://doi.org/10.1080/16506073.2013.773059
Yen, P.Y., Jia, H.M., Currie, L.M., & Bakken, S. (2009). Comparison of two user interfaces for accessing context-specific information resources related to hazards and near misses. //CIN: Computers Informatics Nursing, 27//(2), 99-104.
Young, E.C., Brammer, C., Owen, E., Brown, N., Lowe, J., Johnson, C., ... & Smith, J.A. (2009). The effect of mindfulness meditation on cough reflex sensitivity. //Thorax, 64//(11), 993-998. https://doi.org/10.1136/thx.2009.116723
Nedeljkovic, M., Burgler, C., Wirtz, P.H., Seiler, R., Streitberger, K.M., & Ausfeld-Hafter, B. (2012). Getting started with Taiji: Investigating students expectations and teachers appraisals of Taiji beginners courses. //Evidence-based Complementary and Alternative Medicine, 2012//, 595710. https://doi.org/10.1155/2012/595710
Schitter, A.M., Nedeljkovic, M., Ausfeld-Hafter, B., & Fleckenstein, J. (2016). Changes in self-reported symptoms of depression and physical well-being in healthy individuals following a Taiji beginner course - Results of a randomized controlled trial. //Brain and Behavior, 6//(4), e00429. https://doi.org/10.1002/brb3.429
Zhang, C.Q., Si, G.Y., Duan, Y.P., Lyu, Y.J., Keatley, D.A., & Chan, D.K.C. (2016). The effects of mindfulness training on beginners' skill acquisition in dart throwing: A randomized controlled trial. //Psychology of Sport and Exercise, 22//, 279-285. https://doi.org/10.1016/j.psychsport.2015.09.005
Hazlett-Stevens, H., & Oren, Y. (2017). Effectiveness of mindfulness-based stress reduction bibliotherapy: A preliminary randomized controlled trial. //Journal of Clinical Psychology, 73//(6), 626-637. https://doi.org/10.1002/jclp.22370
de Bruin, E.I., van der Zwan, J.E., & Bogels, S.M. (2016). A RCT comparing daily mindfulness meditations, biofeedback exercises, and daily physical exercise on attention control, executive functioning, mindful awareness, self-compassion, and worrying in stressed young adults. //Mindfulness, 7//(5), 1182-1192. https://doi.org/10.1007/s12671-016-0561-5
Houser, M.M., Rosen, L., Seagrave, M.P., Grabowski, D., Matthew, J.D., & Craig, W.A.P. (2013). Exercise heart rate monitors for anxiety treatment in a rural primary care setting: A pilot study. //Family Medicine, 45//(9), 615-621.
Ratanasiripong, P., Park, J.F., Ratanasiripong, N., & Kathalae, D. (2015). Stress and anxiety management in nursing students: Biofeedback and mindfulness meditation. //Journal of Nursing Education, 54//(9), 520-524. https://doi.org/10.3928/01484834-20150814-07
Prinsloo, G.E., Derman, W.E., Lambert, M.I., & Rauch, H.G.L. (2013). The effect of a single episode of short duration heart rate variability biofeedback on measures of anxiety and relaxation states. //International Journal of Stress Management, 20//(4), 391-411. https://doi.org/10.1037/a0034777
van der Zwan, J.E., de Vente, W., Huizink, A.C., Bogels, S.M., & de Bruin, E.I. (2015). Physical activity, mindfulness meditation, or heart rate variability biofeedback for stress reduction: A randomized controlled trial. //Applied Psychophysiology and Biofeedback, 40//(4), 257-268. https://doi.org/10.1007/s10484-015-9293-x
Chadwick, P., Kaur, H., Swelam, M., Ross, S., & Ellett, L. (2011). Experience of mindfulness in people with bipolar disorder: A qualitative study. //Psychotherapy Research, 21//(3), 277-285. https://doi.org/10.1080/10503307.2011.565487
Cotton, S., Luberto, C.M., Sears, R.W., Strawn, J.R., Stahl, L., Wasson, R.S., ... & Delbello, M.P. (2016). Mindfulness-based cognitive therapy for youth with anxiety disorders at risk for bipolar disorder: A pilot trial. //Early Intervention in Psychiatry, 10//(5), 426-434. https://doi.org/10.1111/eip.12216
Deckersbach, T., Holzel, B.K., Eisner, L.R., Stange, J.P., Peckham, A.D., Dougherty, D.D., ... & Nierenberg, A.A. (2012). Mindfulness-based cognitive therapy for nonremitted patients with bipolar disorder. //CNS Neuroscience & Therapeutics, 18//(2), 133-141. https://doi.org/10.1111/j.1755-5949.2011.00236.x
Ducasse, D., Jaussent, I., Guillaume, S., Azorin, J.M., Bellivier, F., Belzeaux, R., ... & Courtet, P. (2017). Affect lability predicts occurrence of suicidal ideation in bipolar patients: A two-year prospective study. //Acta Psychiatrica Scandinavica, 135//(5), 460-469. https://doi.org/10.1111/acps.12710
Eisner, L., Eddie, D., Harley, R., Jacobo, M., Nierenberg, A.A., & Deckersbach, T. (2017). Dialectical behavior therapy group skills training for bipolar disorder. //Behavior Therapy, 48//(4), 557-566.
Howells, F.M., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2012). Mindfulness based cognitive therapy improves frontal control in bipolar disorder: A pilot EEG study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-15
Ives-Deliperi, V.L., Howells, F., Stein, D.J., Meintjes, E.M., & Horn, N. (2013). The effects of mindfulness-based cognitive therapy in patients with bipolar disorder: A controlled functional MRI investigation. //Journal of Affective Disorders, 150//(3), 1152-1157. https://doi.org/10.1016/j.jad.2013.05.074
Lahera, G., Bayon, C., Bravo-Ortiz, M.F., Rodriguez-Vega, B., Barbeito, S., Saenz, M., ... & de Dios, C. (2014). Mindfulness-based cognitive therapy versus psychoeducational intervention in bipolar outpatients with sub-threshold depressive symptoms: A randomized controlled trial. //BMC Psychiatry, 14//. https://doi.org/10.1186/s12888-014-0215-x
McMahon, K., Herr, N.R., Zerubavel, N., Hoertel, N., & Neacsiu, A.D. (2016). Psychotherapeutic treatment of bipolar depression. //Psychiatric Clinics of North America, 39//(1), 35-56. https://doi.org/10.1016/j.psc.2015.09.005
Miklowitz, D.J. (2011). Functional impairment, stress, and psychosocial intervention in bipolar disorder. //Current Psychiatry Reports, 13//(6), 504-512. https://doi.org/10.1007/s11920-011-0227-x
Miklowitz, D.J., Alatiq, Y., Goodwin, G.M., Geddes, J.R., Fennell, M.J.V., Dimidjian, S., ... & Williams, J.M.G. (2009). A pilot study of mindfulness-based cognitive therapy for bipolar disorder. //International Journal of Cognitive Therapy, 2//(4), 373-382. https://doi.org/10.1521/ijct.2009.2.4.373
Morton, J., Snowdon, S., Gopold, M., & Guymer, E. (2012). Acceptance and commitment therapy group treatment for symptoms of borderline personality disorder: A public sector pilot study. //Cognitive and Behavioral Practice, 19//(4), 527-544.
Murray, G., Leitan, N.D., Berk, M., Thomas, N., Michalak, E., Berk, L., ... & Kyrios, M. (2015). Online mindfulness-based intervention for late-stage bipolar disorder: Pilot evidence for feasibility and effectiveness. //Journal of Affective Disorders, 178//, 46-51. https://doi.org/10.1016/j.jad.2015.02.024
Perich, T., Manicavasagar, V., Mitchell, P.B., & Ball, J.R. (2011). Mindfulness, response styles and dysfunctional attitudes in bipolar disorder. //Journal of Affective Disorders, 134//(42738), 126-132. https://doi.org/10.1016/j.jad.2011.06.004
Perich, T., Manicavasagar, V., Mitchell, P.B., Ball, J.R., & Hadzi-Pavlovic, D. (2013). A randomized controlled trial of mindfulness-based cognitive therapy for bipolar disorder. Acta Psychiatrica Scandinavica, 127(5), 333-343. doi:10.1111/acps.12033
Rakofsky, J.J., & Dunlop, B.W. (2011). Treating nonspecific anxiety and anxiety disorders in patients with bipolar disorder: A review. //Journal of Clinical Psychiatry, 72//(1), 81-90. https://doi.org/10.4088/JCP.09r05815gre
Russell, S.J., & Browne, J.L. (2005). Staying well with bipolar disorder. //Australian and New Zealand Journal of Psychiatry, 39//(3), 187-193. https://doi.org/10.1080/j.1440-1614.2005.01542.x
Stange, J.P., Eisner, L.R., Holzel, B.K., Peckham, A.D., Dougherty, D.D., Rauch, S.L., ... & Deckersbach, T. (2011). Mindfulness-based cognitive therapy for bipolar disorder: Effects on cognitive functioning. //Journal of Psychiatric Practice, 17//(6), 410-419. https://doi.org/10.1097/01.pra.0000407964.34604.03
Stratford, H.J., Cooper, M.J., Di Simplicio, M., Blackwell, S.E., & Holmes, E.A. (2015). Psychological therapy for anxiety in bipolar spectrum disorders: A systematic review. //Clinical Psychology Review, 35//, 19-34. https://doi.org/10.1016/j.cpr.2014.11.002
Strawn, J.R., Cotton, S., Luberto, C.M., Patino, L.R., Stahl, L.A., Weber, W.A., ... & DelBello, M.P. (2016). Neural function before and after mindfulness-based cognitive therapy in anxious adolescents at risk for developing bipolar disorder. //Journal of Child and Adolescent Psychopharmacology, 26//(4), 372-379. https://doi.org/10.1089/cap.2015.0054
Tabak, N.T., Green, M.F., Wynn, J.K., Proudfit, G.H., Altshuler, L., & Horan, W.P. (2015). Perceived emotional intelligence is impaired and associated with poor community functioning in schizophrenia and bipolar disorder. //Schizophrenia Research, 162//(1-3), 189-195. https://doi.org/10.1016/j.schres.2014.12.005
Van Dijk, S., Jeffrey, J., & Katz, M.R. (2013). A randomized, controlled, pilot study of dialectical behavior therapy skills in a psychoeducational group for individuals with bipolar disorder. //Journal of Affective Disorders, 145//(3), 386-393. https://doi.org/10.1016/j.jad.2012.05.054
Weber, B., Jermann, F., Gex-Fabry, M., Nallet, A., Bondolfi, G., & Aubry, J.M. (2010). Mindfulness-based cognitive therapy for bipolar disorder: A feasibility trial. //European Psychiatry, 25//(6), 334-337. https://doi.org/10.1016/j.eurpsy.2010.03.007
Weber, B., Sala, L., Gex-Fabry, M., Docteur, A., Gorwood, P., Cordera, P., ... & Mirabel-Sarron, C. (2017). Self-reported long-term benefits of mindfulness-based cognitive therapy in patients with bipolar disorder. //Journal of Alternative and Complementary Medicine, 23//(7), 534-540. https://doi.org/10.1089/acm.2016.0427
Williams, J.M.G., Alatiq, Y., Crane, C., Barnhofer, T., Fennell, M.J.V., Duggan, D.S., ... & Goodwin, G.M. (2008). Mindfulness-based cognitive therapy (MBCT) in bipolar disorder: Preliminary evaluation of immediate effects on between-episode functioning. //Journal of Affective Disorders, 107//(1-3), 275-279. https://doi.org/10.1016/j.jad.2007.08.022
Monti, D.A., Kash, K.M., Kunkel, E.J.S., Brainard, G., Wintering, N., Moss, A.S., ... & Newberg, A.B. (2012). Changes in cerebral blood flow and anxiety associated with an 8-week mindfulness programme in women with breast cancer. //Stress and Health, 28//(5), 397-407. https://doi.org/10.1002/smi.2470
Newberg, A.B., Wintering, N., Khalsa, D.S., Roggenkamp, H., & Waldman, M.R. (2010). Meditation effects on cognitive function and cerebral blood flow in subjects with memory loss: A preliminary study. //Journal of Alzheimers Disease, 20//(2), 517-526. https://doi.org/10.3233/JAD-2010-1391
Cavicchioli, M., Rugi, C., & Maffei, C. (2015). Inability to withstand present-moment experiences in borderline personality disorder: A meta-analytic review. //Clinical Neuropsychiatry, 12//(4), 101-110.
Chafos, V.H., & Economou, P. (2014). Beyond borderline personality disorder: The mindful brain. //Social Work, 59//(4), 297-302. https://doi.org/10.1093/sw/swu030
Dixon-Gordon, K.L., Chapman, A.L., & Turner, B.J. (2015). A preliminary pilot study comparing dialectical behavior therapy emotion regulation skills with interpersonal effectiveness skills and a control group treatment. //Journal of Experimental Psychopathology, 6//(4), 369-388. https://doi.org/10.5127/jep.041714
Eisenlohr-Moul, T.A., Peters, J.R., Chamberlain, K.D., & Rodriguez, M.A. (2016). Weekly fluctuations in nonjudging predict borderline personality disorder feature expression in women. //Journal of Psychopathology and Behavioral Assessment, 38//(1), 149-157. https://doi.org/10.1007/s10862-015-9505-y
Elices, M., Pascual, J.C., Portella, M.J., Feliu-Soler, A., Martin-Blanco, A., Carmona, C., ... & Soler, J. (2016). Impact of mindfulness training on borderline personality disorder: A randomized trial. //Mindfulness, 7//(3), 584-595. https://doi.org/10.1007/s12671-016-0492-1
Feliu-Soler, A., Pascual, J.C., Borras, X., Portella, M.J., Martin-Blanco, A., Armario, A., ... & Soler, J. (2014). Effects of dialectical behaviour therapy-mindfulness training on emotional reactivity in borderline personality disorder: Preliminary results. //Clinical Psychology & Psychotherapy, 21//(4), 363-370. https://doi.org/10.1002/cpp.1837
Fitzpatrick, S., & Kuo, J.R. (2016). The impact of stimulus arousal level on emotion regulation effectiveness in borderline personality disorder. //Psychiatry Research, 241//, 242-248. https://doi.org/10.1016/j.psychres.2016.05.004
Fossati, A., Feeney, J., Maffei, C., & Borroni, S. (2011). Does mindfulness mediate the association between attachment dimensions and borderline personality disorder features? A study of Italian non-clinical adolescents. //Attachment & Human Development, 13//(6), 563-578. https://doi.org/10.1080/14616734.2011.608993
Keng, S.L., & Tan, J.X. (2017). Effects of brief mindful breathing and loving-kindness meditation on shame and social problem solving abilities among individuals with high borderline personality traits. //Behaviour Research and Therapy, 97//, 43-51. https://doi.org/10.1016/j.brat.2017.07.004
Kuo, J.R., Fitzpatrick, S., Metcalfe, R.K., & McMain, S. (2016). A multi-method laboratory investigation of emotional reactivity and emotion regulation abilities in borderline personality disorder. //Journal of Behavior Therapy and Experimental Psychiatry, 50//, 52-60. https://doi.org/10.1016/j.jbtep.2015.05.002
Metcalfe, R.K., Fitzpatrick, S., & Kuo, J.R. (2017). A laboratory examination of emotion regulation skill strengthening in borderline personality disorder. //Personality Disorders-theory Research and Treatment, 8//(3), 237-246. https://doi.org/10.1037/per0000156
Morton, J., Snowdon, S., Gopold, M., & Guymer, E. (2012). Acceptance and commitment therapy group treatment for symptoms of borderline personality disorder: A public sector pilot study. //Cognitive and Behavioral Practice, 19//(4), 527-544. https://doi.org/10.1016/j.cbpra.2012.03.005
Nicastro, R., Jermann, F., Bondolfi, G., & McQuillan, A. (2010). Assessment of mindfulness with the French version of the Kentucky inventory of mindfulness skills in community and borderline personality disorder samples. //Assessment, 17//(2), 197-205. https://doi.org/10.1177/1073191110363551
Scheibner, H.J., Spengler, S., Kanske, P., Roepke, S., & Bermpohl, F. (2016). Behavioral assessment of mindfulness difficulties in borderline personality disorder. //Mindfulness, 7//(6), 1316-1326. https://doi.org/10.1007/s12671-016-0572-2
Scherpiet, S., Herwig, U., Opialla, S., Scheerer, H., Habermeyer, V., Jancke, L., ... & Bruhl, A.B. (2015). Reduced neural differentiation between self-referential cognitive and emotional processes in women with borderline personality disorder. //Psychiatry Research-neuroimaging, 233//(3), 314-323. https://doi.org/10.1016/j.pscychresns.2015.05.008
Selby, E.A., Fehling, K.B., Panza, E.A., & Kranzler, A. (2016). Rumination, mindfulness, and borderline personality disorder symptoms. //Mindfulness, 7//(1), 228-235. https://doi.org/10.1007/s12671-015-0432-5
Shorey, R.C., Elmquist, J., Wolford-Clevenger, C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between dispositional mindfulness, borderline personality features, and suicidal ideation in a sample of women in residential substance use treatment. //Psychiatry Research, 238//, 122-128. https://doi.org/10.1016/j.psychres.2016.02.040
Sinclair, H., & Feigenbaum, J. (2012). Trait emotional intelligence and borderline personality disorder. //Personality and Individual Differences, 52//(6), 674-679. https://doi.org/10.1016/j.paid.2011.12.022
Soler, J., Valdeperez, A., Feliu-Soler, A., Pascual, J.C., Portella, M.J., Martin-Blanco, A., ... & Perez, V. (2012). Effects of the dialectical behavioral therapy-mindfulness module on attention in patients with borderline personality disorder. //Behaviour Research and Therapy, 50//(2), 150-157. https://doi.org/10.1016/j.brat.2011.12.002
Stepp, S.D., Whalen, D.J., Pilkonis, P.A., Hipwell, A.E., & Levine, M.D. (2012). Children of mothers with borderline personality disorder: Identifying parenting behaviors as potential targets for intervention. //Personality Disorders-theory Research and Treatment, 3//(1), 76-91. https://doi.org/10.1037/a0023081
Wupperman, P., Fickling, M., Klemanski, D.H., Berking, M., & Whitman, J.B. (2013). Borderline personality features and harmful dysregulated behavior: The mediational effect of mindfulness. //Journal of Clinical Psychology, 69//(9), 903-911. https://doi.org/10.1002/jclp.21969
Wupperman, P., Neumann, C.S., & Axelrod, S.R. (2008). Do deficits in mindfulness underlie borderline personality features and core difficulties?. //Journal of Personality Disorders, 22//(5), 466-482. https://doi.org/10.1521/pedi.2008.22.5.466
Wupperman, P., Neumann, C.S., Whitman, J.B., & Axelrod, S.R. (2009). The role of mindfulness in borderline personality disorder features. //Journal of Nervous and Mental Disease, 197//(10), 766-771. https://doi.org/10.1097/NMD.0b013e3181b97343
Ataria, Y. (2015). Where do we end and where does the world begin? The case of insight meditation. //Philosophical Psychology, 28//(8). https://doi.org/10.1080/09515089.2014.969801
Dambrun, M. (2016). When the dissolution of perceived body boundaries elicits happiness: The effect of selflessness induced by a body scan meditation. //Consciousness and Cognition, 46//, 89-98. https://doi.org/10.1016/j.concog.2016.09.013
Rexroth, M., Michel, A., & Bosch, C. (2017). Promoting well-being by teaching employees how to segment their life domains effects of an online-based mindfulness intervention. //Zeitschrift Fur Arbeits-und Organisationspsychologie, 61//(4), 197-212. https://doi.org/10.1026/0932-4089/a000253
Stanley, S. (2012). Intimate distances: William James' introspection, Buddhist mindfulness, and experiential inquiry. //New Ideas in Psychology, 30//(2), 201-211. https://doi.org/10.1016/j.newideapsych.2011.10.001
Ashton, N.J., Hye, A., Leckey, C.A., Jones, A.R., Gardner, A., Elliott, C., ... & Marchant, N.L. (2017). Plasma rest: A novel candidate biomarker of Alzheimer's disease is modified by psychological intervention in an at-risk population. //Translational Psychiatry, 7//e1148. https://doi.org/10.1038/tp.2017.113
Engstrom, M., Pihlsgard, J., Lundberg, P., & Soderfeldt, B. (2010). Functional magnetic resonance imaging of hippocampal activation during silent mantra meditation. //Journal of Alternative and Complementary Medicine, 16//(12), 1253-1258. https://doi.org/10.1089/acm.2009.0706
Froeliger, B., Garland, E.L., & McClernon, F.J. (2012). Yoga meditation practitioners exhibit greater gray matter volume and fewer reported cognitive failures: Results of a preliminary voxel-based morphometric analysis. //Evidence-based Complementary and Alternative Medicine//, NA. https://doi.org/10.1155/2012/821307
Grant, J.A., Courtemanche, J., Duerden, E.G., Duncan, G.H., & Rainville, P. (2010). Cortical thickness and pain sensitivity in zen meditators. //Emotion, 10//(1), 43-53. https://doi.org/10.1037/a0018334
Holzel, B.K., Carmody, J., Evans, K.C., Hoge, E.A., Dusek, J.A., Morgan, L., ... & Lazar, S.W. (2010). Stress reduction correlates with structural changes in the amygdala. //Social Cognitive and Affective Neuroscience, 5//(1), 11-17. https://doi.org/10.1093/scan/nsp034
Holzel, B.K., Ott, U., Gard, T., Hempel, H., Weygandt, M., Morgen, K., ... & Vaitl, D. (2008). Investigation of mindfulness meditation practitioners with voxel-based morphometry. //Social Cognitive and Affective Neuroscience, 3//(1), 55-61. https://doi.org/10.1093/scan/nsm038
Kurth, F., Cherbuin, N., & Luders, E. (2015). Reduced age-related degeneration of the hippocampal subiculum in long-term meditators. //Psychiatry Research-neuroimaging, 232//(3), 214-218. https://doi.org/10.1016/j.pscychresns.2015.03.008
Leung, M.K., Chan, C.C.H., Yin, J., Lee, C.F., So, K.F., & Lee, T.M.C. (2013). Increased gray matter volume in the right angular and posterior parahippocampal gyri in loving-kindness meditators. //Social Cognitive and Affective Neuroscience, 8//(1), 34-39. https://doi.org/10.1093/scan/nss076
Luders, E., Cherbuin, N., & Kurth, F. (2015). Forever young(er): Potential age-defying effects of long-term meditation on gray matter atrophy. //Frontiers in Psychology, 5//, 1551. https://doi.org/10.3389/fpsyg.2014.01551
Luders, E., Kurth, F., Toga, A.W., Narr, K.L., & Gaser, C. (2013). Meditation effects within the hippocampal complex revealed by voxel-based morphometry and cytoarchitectonic probabilistic mapping. //Frontiers in Psychology, 4//, 398. https://doi.org/10.3389/fpsyg.2013.00398
Luders, E., Thompson, P.M., Kurth, F., Hong, J.Y., Phillips, O.R., Wang, Y.L., ... & Toga, A.W. (2013). Global and regional alterations of hippocampal anatomy in long-term meditation practitioners. //Human Brain Mapping, 34//(12), 3369-3375. https://doi.org/10.1002/hbm.22153
Luders, E., Toga, A.W., Lepore, N., & Gaser, C. (2009). The underlying anatomical correlates of long-term meditation: Larger hippocampal and frontal volumes of gray matter. //Neuroimage, 45//(3), 672-678. https://doi.org/10.1016/j.neuroimage.2008.12.061
Makova, E., Meeten, F., Watson, D.R., Garfinkel, S.N., Critchley, H.D., & Ottaviani, C. (2016). Neurostructural abnormalities associated with axes of emotion dysregulation in generalized anxiety. //Neuroimage: Clinical, 10//, 172-181. https://doi.org/10.1016/j.nicl.2015.11.022
Newberg, A.B., Serruya, M., Wintering, N., Moss, A.S., Reibel, D., & Monti, D.A. (2014). Meditation and neurodegenerative diseases. Advances in meditation research: //Neuroscience and clinical applications, 1307//, 112-123. https://doi.org/10.1111/nyas.12187
Villemure, C., Ceko, M., Cotton, V.A., & Bushnell, M.C. (2015). Neuroprotective effects of yoga practice: Age-, experience-, and frequency-dependent plasticity. //Frontiers in Human Neuroscience, 9//, 281. https://doi.org/10.3389/fnhum.2015.00281
Wells, R.E., Yeh, G.Y., Kerr, C.E., Wolkin, J., Davis, R.B., Tan, Y., ... & Kong, J. (2013). Meditation's impact on default mode network and hippocampus in mild cognitive impairment: A pilot study. //Neuroscience Letters, 556//, 15-19. https://doi.org/10.1016/j.neulet.2013.10.001
Wong, W.P., Hassed, C., Chambers, R., & Coles, J. (2016). The effects of mindfulness on persons with mild cognitive impairment: Protocol for a mixed-methods longitudinal study. //Frontiers in Aging Neuroscience, 8//, 156. https://doi.org/10.3389/fnaci.2016.00156
Abell, N., & Rutledge, S.E. (2010). Awareness, acceptance and action: Developing mindful collaborations in international HIV/AIDS research and service. //British Journal of Social Work, 40//(2), 656-675. https://doi.org/10.1093/bjsw/bcp047
Abell, N., Rutledge, S.E., Mccann, T.J., & Padmore, J. (2007). Examining HIV/AIDS provider stigma: Assessing regional concerns in the islands of the Eastern Caribbean. //AIDS Care-psychological and Socio-medical Aspects of AIDS/HIV, 19//(2), 242-247. https://doi.org/10.1080/09540120600774297
AnAlayo, B. (2016). Early Buddhist mindfulness and memory, the body, and pain. //Mindfulness, 7//(6), 1271-1280. https://doi.org/10.1007/s12671-016-0573-1
Andersen, D.T. (2005). Empathy, psychotherapy integration, and meditation: A Buddhist contribution to the common factors movement. //Journal of Humanistic Psychology, 45//(4), 483-502. https://doi.org/10.1177/0022167805280264
Ariyabuddhiphongs, V., & Jaiwong, D. (2010). Observance of the Buddhist five precepts, subjective wealth, and happiness among buddhists in bangkok, thailand. //Archive for the Psychology of Religion, 32//(3), 327-344. https://doi.org/10.1163/157361210X533274
Arun, B., Austin, T., Babiera, G.V., Basen-Engquist, K., Carmack, C.L., Chaoul, A., ... & Yeung, S.C.J. (2017). A comprehensive lifestyle randomized clinical trial: Design and initial patient experience. //Integrative Cancer Therapies, 16//(1), 3-20. https://doi.org/10.1177/1534735416679516
Batchelor, M. (2011). Meditation and mindfulness. //Contemporary Buddhism, 12//(1), 157-164. https://doi.org/10.1080/14639947.2011.564832
Berkovich-Ohana, A. (2017). A case study of a meditation-induced altered state: Increased overall gamma synchronization. //Phenomenology and the Cognitive Sciences, 16//(1), 91-106. https://doi.org/10.1007/s11097-015-9435-x
Bingaman, K.A. (2016). Incorporating contemplative neuroscience and mindfulness-based therapies into pastoral care and counseling: A critical correlational method. //Pastoral Psychology, 65//(6), 759-772. https://doi.org/10.1007/s11089-016-0719-z
Bodhi, B. (2011). What does mindfulness really mean? A canonical perspective. //Contemporary Buddhism, 12//(1), 19-39. https://doi.org/10.1080/14639947.2011.564813
Bohecker, L., & Horn, E.A.D. (2016). Increasing students' empathy and counseling self-efficacy through a mindfulness experiential small group. //Journal for Specialists in Group Work, 41//(4), 312-333. https://doi.org/10.1080/01933922.2016.1232322
Bowen, S., Bergman, A.L., & Witkiewitz, K. (2015). Engagement in Buddhist meditation practices among non-Buddhists: Associations with religious identity and practice. //Mindfulness, 6//(6). 1456-1461. https://doi.org/10.1007/s12671-015-0420-9
Brown, A.P., Marquis, A., & Guiffrida, D.A. (2013). Mindfulness-based interventions in counseling. //Journal of Counseling and Development, 91//(1), 96-104. https://doi.org/10.1002/j.1556-6676.2013.00077.x
Brown, C.G. (2015). Integrative medicine in the hospital: Secular or religious?. //Society, 52//(5), 462-468. https://doi.org/10.1007/s12115-015-9929-8
Burnett, R. (2011). Mindfulness in schools: Learning lessons from the adults, secular and Buddhist. //Buddhist Studies Review, 28//(1), 79-120. https://doi.org/10.1558/bsrv.v28i1.79
Chadha, M. (2015). A Buddhist epistemological framework for mindfulness meditation. //Asian Philosophy, 25//(1), 65-80. https://doi.org/10.1080/09552367.2015.1012802
Chadha, M. (2015). Meditation and unity of consciousness: A perspective from Buddhist epistemology. //Phenomenology and the Cognitive Sciences, 14//(1), 111-127. https://doi.org/10.1007/s11097-013-9316-0
Chambers, S.K., Morris, B.A., Clutton, S., Foley, E., Giles, L., Schofield, P., ... & Dunn, J. (2015). Psychological wellness and health-related stigma: A pilot study of an acceptance-focused cognitive behavioural intervention for people with lung cancer. //European Journal of Cancer care, 24//(1), 60-70. https://doi.org/10.1111/ecc.12221
Chan, K.K.S., & Lam, C.B. (2017). Trait mindfulness attenuates the adverse psychological impact of stigma on parents of children with autism spectrum disorder. //Mindfulness, 8//(4), 984-994. https://doi.org/10.1007/s12671-016-0675-9
Chan, K.K.S., & Mak, W.W.S. (2017). The content and process of self-stigma in people with mental illness. //American Journal of Orthopsychiatry, 87//(1), 34-43. https://doi.org/10.1037/ort0000127
Cheng, F.K. (2017). Cancer-induced bone pain management through Buddhist beliefs. //Journal of Religion & Health, 56//(6), 2251-2266. https://doi.org/10.1007/s10943-017-0401-5
Christopher, J.C., Christopher, S.E., Dunnagan, T., & Schure, M. (2006).Teaching self-care through mindfulness practices: The application of yoga, meditation, and qigong to counselor training. //Journal of Humanistic Psychology, 46//(4), 494-509. https://doi.org/10.1177/0022167806290215
Christopher, M.S., Woodrich, L.E., & Tiernan, K.A. (2014). Using cognitive interviews to assess the cultural validity of state and trait measures of mindfulness among Zen Buddhists. //Mindfulness, 5//(2), 145-160. https://doi.org/10.1007/s12671-012-0160-z
Compson, J. (2014). Meditation, trauma and suffering in silence: Raising questions about how meditation is taught and practiced in western contexts in the light of a contemporary trauma resiliency model. //Contemporary Buddhism, 15//(2), 274-297. https://doi.org/10.1080/14639947.2014.935264
Crosby, K., Skilton, A., & Gunasena, A. (2012). The Sutta on understanding death in the transmission of Boran meditation from Siam to the Kandyan court. //Journal of Indian Philosophy, 40//(2), 177-198. https://doi.org/10.1007/s10781-011-9151-y
de Silva, P. (2011). Thinking and feeling: A Buddhist perspective. //Sophia, 50//(2), 253-263. https://doi.org/10.1007/s11841-011-0248-2
de Zoysa, P. (2011). The use of Buddhist mindfulness meditation in psychotherapy: A case report from Sri Lanka. //Transcultural Psychiatry, 48//(5), 675-683. https://doi.org/10.1177/1363461511418394
de Zoysa, P. (2013). The use of mindfulness practice in the treatment of a case of obsessive compulsive disorder in Sri Lanka. //Journal of Religion & Health, 52//(1), 299-306. https://doi.org/10.1007/s10943-011-9461-0
de Zoysa, P. (2016). When east meets west: Reflections on the use of Buddhist mindfulness practice in mindfulness-based interventions. //Mental Health Religion & Culture, 19//(4), 362-370. https://doi.org/10.1080/13674676.2016.1200542
Ditrich, T. (2016). Buddhism between Asia and Europe: The concept of mindfulness through a historical lens. //Asian Studies-azijske Studije, 4//(1), 197-213. https://doi.org/10.4312/as.2016.4.1.197-213
Ditrich, T. (2016). Situating the concept of mindfulness in the Theravada tradition. //Asian Studies-azijske Studije, 4//(2), 13-33. https://doi.org/10.4312/as.2016.4.2.13-33
Dunne, J. (2011). Toward an understanding of non-dual mindfulness. //Contemporary Buddhism, 12//(1), 71-88. https://doi.org/10.1080/14639947.2011.564820
Falb, M.D., & Pargament, K.I. (2013). Buddhist coping predicts psychological outcomes among end-of-life caregivers. //Psychology of Religion and Spirituality, 5//(4), 252-262. https://doi.org/10.1037/a0032653
Farb, N.A.S. (2014). From retreat center to clinic to boardroom? Perils and promises of the modern mindfulness movement. //Religions, 5//(4), 1062-1086. https://doi.org/10.3390/rel5041062
Federman, A. (2015). Buddhist meditation in Britain: 1853 and 1945. //Religion, 45//(4), 553-572. https://doi.org/10.1080/0048721X.2015.1027969
Feichtinger, C. (2014). Space Buddhism: The adoption of Buddhist motifs in star wars. //Contemporary Buddhism, 15//(1), 28-43. https://doi.org/10.1080/14639947.2014.890348
Flickinger, T.E., Berry, S., Korthuis, P.T., Saha, S., Laws, M.B., Sharp, V., ... & Beach, M.C. (2013). Counseling to reduce high-risk sexual behavior in HIV care: A multi-center, direct observation study. //AIDS Patient Care and STDs, 27//(7), 416-424. https://doi.org/10.1089/apc.2012.0426
Forbes, D. (2016). Modes of mindfulness: Prophetic critique and integral emergence. //Mindfulness, 7//(6), 1256-1270. https://doi.org/10.1007/s12671-016-0552-6
Fulton, C.L., & Cashwell, C.S. (2015). Mindfulness-based awareness and compassion: Predictors of counselor empathy and anxiety. //Counselor Education and Supervision, 54//(2), 122-133. https://doi.org/10.1002/ceas.12009
Fulton, P.R. (2014). Contributions and challenges to clinical practice from Buddhist psychology. //Clinical Social Work Journal, 42//(3), 208-217. https://doi.org/10.1007/s10615-013-0469-7
Fung, K. (2015). Acceptance and commitment therapy: Western adoption of Buddhist tenets?. //Transcultural Psychiatry, 52//(4), 561-576. https://doi.org/10.1177/1363461514537544
Ganz, S. (2015). A Buddhist blessing: Meditations and mindfulness in Souvankham Thammavongsa’s Small Arguments. //British Journal of Canadian Studies, 28//(1), 105-120. https://doi.org/10.3828/bjcs.2015.6
Gethin, R. (2011). On some definitions of mindfulness. //Contemporary Buddhism, 12//(1), 263-279. https://doi.org/10.1080/14639947.2011.564843
Gilpin, R. (2008). The use of Theravada Buddhist practices and perspectives in mindfulness-based cognitive therapy. //Contemporary Buddhism, 9//(2), 227-251. https://doi.org/10.1080/14639940802556560
Gockel, A., & Burton, D.L. (2014). An evaluation of prepracticum helping skills training for graduate social work students. //Journal of Social Work education, 50//(1), 101-119. https://doi.org/10.1080/10437797.2014.856234
Gonzalez, A., Locicero, B., Mahaffey, B., Fleming, C., Harris, J., & Vujanovic, A.A. (2016). Internalized HIV stigma and mindfulness: Associations with PTSD symptom severity in trauma-exposed adults with HIV/AIDS. //Behavior modification, 40//(1-2), 144-163. https://doi.org/10.1177/0145445515615354
Gonzalez, A., Solomon, S.E., Zvolensky, M.J., & Miller, C.T. (2009). The Interaction of mindful-based attention and awareness and disengagement coping with HIV/AIDS-related stigma in regard to concurrent anxiety and depressive symptoms among adults with HIV/AIDS. //Journal of Health Psychology, 14//(3), 403-413. https://doi.org/10.1177/1359105309102193
Grossman, P., & Van Dam, N.T. (2011). Mindfulness, by any other name...: Trials and tribulations of sati in western psychology and science. //Contemporary Buddhism, 12//(1), 219-239. https://doi.org/10.1080/14639947.2011.564841
Groves, P. (2014). Buddhist approaches to addiction recovery. //Religions, 5//(4), 985-1000. https://doi.org/10.3390/rel5040985
Gutierrez, D., Fox, J., & Wood, A.W. (2015). Center, light, and sound: The psychological benefits of three distinct meditative practices. //Counseling and Values, 60//(2), 234-247. https://doi.org/10.1002/cvj.12016
Hanna, F.J., Wilkinson, B.D., & Givens, J. (2017). Recovering the original phenomenological research method: An exploration of husserl, yoga, Buddhism, and new frontiers in humanistic counseling. //Journal of Humanistic Counseling, 56//(2), 144-162. https://doi.org/10.1002/johc.12049
Hart-Johnson, A.M. (2017). Gaining access to socially stigmatized samples. //Qualitative Report, 22//(6), 1550-1564.
Hayes, S.C., Bissett, R., Roget, N., Padilla, M., Kohlenberg, B.S., Fisher, G., ... & Niccolls, R. (2004). The impact of acceptance and commitment training and multicultural training on the stigmatizing attitudes and professional burnout of substance abuse counselors. //Behavior Therapy, 35//(4), 821-835. https://doi.org/10.1016/S0005-7894(04)80022-4
Helderman, I. (2015). 'The conversion of the barbarians': Comparison and psychotherapists’ approaches to Buddhist traditions in the United States. //Buddhist Studies Review, 32//(1), 63-97. https://doi.org/10.1558/bsrv.v32i1.27024
Helderman, I.P. (2016). Drawing the boundaries between "religion" and "secular" in psychotherapists' approaches to Buddhist traditions in the united states. //Journal of the American Academy of Religion, 84//(4), 937-972. https://doi.org/10.1093/jaarel/lfw003
Hilbert, A., Braehler, E., Schmidt, R., Lowe, B., Hauser, W., & Zenger, M. (2015). Self-compassion as a resource in the self-stigma process of overweight and obese individuals. //Obesity Facts, 8//(5), 293-301. https://doi.org/10.1159/000438681
Hoare, P.N., McIlveen, P., & Hamilton, N. (2012). Acceptance and commitment therapy (ACT) as a career counselling strategy. //International Journal for Educational and Vocational Guidance, 12//(3), 171-187. https://doi.org/10.1007/s10775-012-9224-9
Hoeberichts, J.H. (2012). Teaching council in Sri Lanka: A post disaster, culturally sensitive and spiritual model of group process. //Journal of Religion & Health, 51//(2), 390-401. https://doi.org/10.1007/s10943-010-9358-3
Hwang, K.K., & Chang, J. (2009). Self-cultivation culturally sensitive psychotherapies in Confucian societies. //Counseling Psychologist, 37//(7), 1010-1032. https://doi.org/10.1177/0011000009339976
Hyland, T. (2014). Mindfulness-based interventions and the affective domain of education. //Educational Studies, 40//(3), 277-291. https://doi.org/10.1080/03055698.2014.889596
Hyland, T. (2014). Mindfulness, free will and Buddhist practice: Can meditation enhance human agency?. //Buddhist Studies Review, 31//(1), 125-140. https://doi.org/10.1558/bsrv.v31i1.125
Hyland, T. (2015). Mcmindfulness in the workplace: Vocational learning and the commodification of the present moment. //Journal of Vocational Education and Training, 67//(2), 219-234. https://doi.org/10.1080/13636820.2015.1022871
Hyland, T. (2015). On the contemporary applications of mindfulness: Some implications for education. //Journal of Philosophy of Education, 49//(2), 170-186. https://doi.org/10.1111/1467-9752.12135
Hyland, T. (2017). Mcdonaldizing spirituality: Mindfulness, education, and consumerism. //Journal of Transformative Education, 15//(4), 334-356. https://doi.org/10.1177/1541344617696972
Ivers, N.N., Johnson, D.A., Clarke, P.B., Newsome, D.W., & Berry, R.A. (2016). The relationship between mindfulness and multicultural counseling competence. //Journal of Counseling and Development, 94//(1), 72-82. https://doi.org/10.1002/jcad.12063
Jung, K. (2014). Liberating zen: A christian experience. //Journal of Korean Religions, 5//(1), 35-50.
Kabat-Zinn, J. (2011). Some reflections on the origins of MBSR, skillful means, and the trouble with maps. //Contemporary Buddhism, 12//(1), 281-306. https://doi.org/10.1080/14639947.2011.564844
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Loving kindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology: General, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
Kato, H. (2016). The relationship between the psychology of religion and Buddhist psychology. //Japanese Psychological Research, 58//, 70-84. https://doi.org/10.1111/jpr.12121
Keiser, D.L., & Adarkar, A. (2015). Buddhas still in classrooms: Where is the mustard seed?. //Reflective Practice, 16//(6), 836-848. https://doi.org/10.1080/14623943.2015.1095732
Kelly, B.D. (2011). Self-immolation, suicide and self-harm in Buddhist and western traditions. //Transcultural Psychiatry, 48//(3), 299-317. https://doi.org/10.1177/1363461511402869
Kenny, A., & Bizumic, B. (2016). Learn and act: Changing prejudice towards people with mental illness using stigma reduction interventions. //Journal of Contextual Behavioral Science, 5//(3), 178-185. https://doi.org/10.1016/j.jcbs.2016.06.004
Kim, J. (2016). Effects of Buddhist ontology focused (BOF) meditation: Pilot study with mothers of children with developmental disabilities on their EEG and psychological well-beings. //Asia Pacific Journal of Counselling and Psychotherapy, 7//(42737), 82-100. https://doi.org/10.1080/21507686.2016.1213756
Kordes, U., & Markic, O. (2016). Parallels between mindfulness and first-person research into consciousness. //Asian Studies-azijske Studije, 4//(2), 153-168. https://doi.org/10.4312/as.2016.4.2.153-168
Kozasa, E.H., Lacerda, S.S., Menezes, C., Wallace, B.A., Radvany, J., Mello, L.E.A.M., ... & Sato, J.R. (2015). Effects of a 9-day Shamatha Buddhist meditation retreat on attention, mindfulness and self-compassion in participants with a broad range of meditation experience. //Mindfulness, 6//(6), 1235-1241. https://doi.org/10.1007/s12671-015-0385-8
Kuan, T.F. (2012). Cognitive operations in Buddhist meditation: Interface with western psychology. //Contemporary Buddhism, 13//(1), 35-60. https://doi.org/10.1080/14639947.2012.669281
Kudesia, R.S., & Nyima, V.T. (2015). Mindfulness contextualized: An integration of Buddhist and neuropsychological approaches to cognition. //Mindfulness, 6//(4). 910-925. https://doi.org/10.1007/s12671-014-0337-8
Lee, K.C., Oh, A., Zhao, Q.R., Wu, F.Y., Chen, S.Y., Diaz, T., ... & Ong, C.K. (2017). Buddhist counseling: Implications for mental health professionals. //Spirituality in Clinical Practice, 4//(2), 113-128. https://doi.org/10.1037/scp0000124
Leong, F.T.L. (1996). Toward an integrative model for cross-cultural counseling and psychotherapy. //Applied & Preventive Psychology, 5//(4), 189-209. https://doi.org/10.1016/S0962-1849(96)80012-6
Levin, M.E., Pistorello, J., Hayes, S.C., Seeley, J.R., & Levin, C. (2015). Feasibility of an acceptance and commitment therapy adjunctive web-based program for counseling centers. //Journal of Counseling Psychology, 62//(3), 529-536. https://doi.org/10.1037/cou0000083
Lillis, J., Hayes, S.C., Bunting, K., & Masuda, A. (2009). Teaching acceptance and mindfulness to improve the lives of the obese: A preliminary test of a theoretical model. //Annals of Behavioral Medicine, 37//(1), 58-69. https://doi.org/10.1007/s12160-009-9083-x
Lillis, J., Levin, M.E., & Hayes, S.C. (2011). Exploring the relationship between body mass index and health-related quality of life: A pilot study of the impact of weight self-stigma and experiential avoidance. //Journal of Health Psychology, 16//(5), 722-727. https://doi.org/10.1177/1359105310388321
Lin, P., & Seiden, H.M. (2015). Mindfulness and psychoanalytic psychotherapy: A clinical convergence. //Psychoanalytic Psychology, 32//(2), 321-333. https://doi.org/10.1037/a0038170
Lindahl, J.R., Fisher, N.E., Cooper, D.J., Rosen, R.K., & Britton, W.B. (2017). The varieties of contemplative experience: A mixed-methods study of meditation-related challenges in western Buddhists. //PLOS ONE, 12//(5), e0176239. https://doi.org/10.1371/journal.pone.0176239
Lindahl, J.R., Kaplan, C.T., Winget, E.M., & Britton, W.B. (2014). A phenomenology of meditation-induced light experiences: Traditional Buddhist and neurobiological perspectives. //Frontiers in Psychology, 4//, 973. https://doi.org/10.3389/fpsyg.2013.00973
Lomas, T. (2017). Recontextualizing mindfulness: Theravada Buddhist perspectives on the ethical and spiritual dimensions of awareness. //Psychology of Religion and Spirituality, 9//(2), 209-219. https://doi.org/10.1037/rel0000080
Lomas, T., Etcoff, N., Van Gordon, W., & Shonin, E. (2017). Zen and the art of living mindfully: The health-enhancing potential of Zen aesthetics. //Journal of Religion & Health, 56//(5), 1720-1739. https://doi.org/10.1007/s10943-017-0446-5
Loy, D. (2013). What's wrong with sex? A Buddhist perspective. //Sexual and Relationship Therapy, 28//(42737), 141-147. https://doi.org/10.1080/14681994.2012.758839
Luoma, J.B., Kohlenberg, B.S., Hayes, S.C., Bunting, K., & Rye, A.K. (2008). Reducing self-stigma in substance abuse through acceptance and commitment therapy: Model, manual development, and pilot outcomes. //Addiction Research & Theory, 16//(2), 149-165. https://doi.org/10.1080/16066350701850295
Maex, E. (2011). The Buddhist roots of mindfulness training: A practitioners view. //Contemporary Buddhism, 12//(1), 165-175. https://doi.org/10.1080/14639947.2011.564835
Manek, N.J. (2012). Symmetry states of the physical space: An expanded reference frame for understanding human consciousness. //Journal of Alternative and Complementary Medicine, 18//(1), 83-92. https://doi.org/10.1089/acm.2011.0604
Marques, J. (2012). Consciousness at work: A review of some important values, discussed from a Buddhist perspective. //Journal of Business Ethics, 105//(1), 27-40. https://doi.org/10.1007/s10551-011-0932-8
Marx, R. (2015). Accessibility versus integrity in secular mindfulness: A Buddhist commentary. //Mindfulness, 6//(5), 1153-1160. https://doi.org/10.1007/s12671-014-0366-3
Masuda, A., Hayes, S.C., Fletcher, L.B., Seignourel, P.J., Bunting, K., Herbst, S.A., ... & Lillis, J. (2007). Impact of acceptance and commitment therapy versus education on stigma toward people with psychological disorders. //Behaviour Research and Therapy, 45//(11), 2764-2772. https://doi.org/10.1016/j.brat.2007.05.008
McWilliams, S.A. (2012). Mindfulness and extending constructivist psychotherapy integration. //Journal of Constructivist Psychology, 25//(3), 230-250. https://doi.org/10.1080/10720537.2012.679130
Mersh, L., Jones, F., & Oliver, J. (2015). Mindfulness, self-stigma and social functioning in first episode psychosis: A brief report. //Psychosis: Psychological, Social and Integrative Approaches, 7//(3), 261-264. https://doi.org/10.1080/17522439.2015.1024714
Moore, M.J. (2016). Buddhism, mindfulness, and transformative politics. //New Political Science, 38//(2), 272-282. https://doi.org/10.1080/07393148.2016.1153195
Moore, Z.E. (2015). Addressing assumptions and clarifying conclusions in "assumptions and conclusions: Fundamental distinctions between Tibetan Buddhist and western approaches to happiness". //Journal of Rational-emotive and Cognitive-behavior Therapy, 33//(4), 368-373. https://doi.org/10.1007/s10942-015-0223-x
Murphy, A. (2016). Mindfulness-based therapy in modern psychology: Convergence and divergence from early Buddhist thought. //Contemporary Buddhism, 17//(2), 275-325. https://doi.org/10.1080/14639947.2016.1228324
Newsome, S., Christopher, J.C., Dahlen, P., & Christopher, S. (2006). Teaching counselors self-care through mindfulness practices. //Teachers College Record, 108//(9), 1881-1900.
Nickerson, A., & Hinton, D.E. (2011). Anger regulation in traumatized Cambodian refugees: The perspectives of Buddhist monks. //Culture, Medicine and Psychiatry, 35//(3), 396-416. https://doi.org/10.1007/s11013-011-9218-y
Nilsson, H., & Kazemi, A. (2016). From Buddhist sati to western mindfulness practice: A contextual analysis. //Journal of Religion and Spirituality in Social Work, 35//(42737), 7-23. https://doi.org/10.1080/15426432.2015.1067582
O'Brien, K.S., Latner, J.D., Puhl, R.M., Vartanian, L.R., Giles, C., Griva, K., ... & Carter, A. (2016). The relationship between weight stigma and eating behavior is explained by weight bias internalization and psychological distress. //Appetite, 102//, 70-76. https://doi.org/10.1016/j.appet.2016.02.032
Ostafin, B.D., Chawla, N., Bowen, S., Dillworth, T.M., Witkiewitz, K., & Marlatt, G.A. (2006). Intensive mindfulness training and the reduction of psychological distress: A preliminary study. //Cognitive and Behavioral Practice, 13//(3), 191-197. https://doi.org/10.1016/j.cbpra.2005.12.001
Panaioti, A. (2015). Mindfulness and personal identity in the western cultural context: A plea for greater cosmopolitanism. //Transcultural Psychiatry, 52//(4), 501-523. https://doi.org/10.1177/1363461515573106
Penberthy, J.K., Williams, S., Hook, J.N., Le, N., Bloch, J., Forsyth, J., ... & Schorling, J. (2017). Impact of a Tibetan Buddhist meditation course and application of related modern contemplative practices on college students' psychological well-being: A pilot study. //Mindfulness, 8//(4), 911-919. https://doi.org/10.1007/s12671-016-0665-y
Phillips, R.E., Cheng, C.M., Oemig, C., Hietbrink, L., & Vonnegut, E. (2012). Validation of a Buddhist coping measure among primarily non-Asian Buddhists in the United States//Journal for the Scientific Study of Religion, 51//(1), 156-172. https://doi.org/10.1111/j.1468-5906.2012.01620.x
Phillips, R.E., Cheng, C.M., Pargament, K.I., University, C.O.G.S., Colvin, S.D., Abarr, A.N., ... & Reed, A.S. (2009). Spiritual coping in American Buddhists: An exploratory study. //International Journal for the Psychology of Religion, 19//(4), 231-243. https://doi.org/10.1080/10508610903143263
Potas, N., Ercetin, S.S., Yilmaz, M., Acikalin, S.N., Gungor, H., & Akyol, E.S. (2016). 3D scale for awareness, attitude, stigma of addiction. //Studies on Ethno-Medicine, 10//(2), 156-165. https://doi.org/10.1080/09735070.2016.11905484
Reilly, B. (2016). Mindfulness infusion through cacrep standards. //Journal of Creativity in Mental Health, 11//(2), 213-224. https://doi.org/10.1080/15401383.2016.1139482
Rosker, J.S. (2016). Mindfulness and its absence – The development of the term mindfulness and the meditation techniques connected to it from Daoist classics to the sinicized Buddhism of the Chan school. //Asian Studies-azijske Studije, 4//(2), 35-56. https://doi.org/10.4312/as.2016.4.2.35-56
Rungreangkulkij, S., & Wongtakee, W. (2008). The psychological impact of Buddhist counseling for patients suffering from symptoms of anxiety. //Archives of Psychiatric Nursing, 22//(3), 127-134. https://doi.org/10.1016/j.apnu.2007.07.004
Rutledge, S.E., & Abell, N. (2005). Awareness, acceptance, and action: An emerging framework for understanding AIDS stigmatizing attitudes among community leaders in Barbados. //AIDS Patient Care and STDs, 19//(3), 186-199. https://doi.org/10.1089/apc.2005.19.186
Rutledge, S.E., Whyte, J., Abell, N., Brown, K.M., & Cesnales, N.I. (2011). Measuring stigma among health care and social service providers: The HIV/AIDS provider stigma inventory. //AIDS Patient Care and STDs, 25//(11), 673-682. https://doi.org/10.1089/apc.2011.0008
Sacamano, J., & Altman, J.K. (2016). Beyond mindfulness: Buddha nature and the four postures in psychotherapy. //Journal of Religion & Health, 55//(5), 1585-1595. https://doi.org/10.1007/s10943-015-0169-4
Sahdra, B.K., Shaver, P.R., & Brown, K.W. (2010). A scale to measure nonattachment: A Buddhist complement to western research on attachment and adaptive functioning. //Journal of Personality assessment, 92//(2), 116-127. https://doi.org/10.1080/00223890903425960
Salguero, C.P. (2015). Toward a global history of Buddhism and medicine. //Buddhist Studies Review, 32//(1), 35-61. https://doi.org/10.1558/bsrv.v32i1.26984
Samuel, G. (2014). Between Buddhism and science, between mind and body. //Religions, 5//(3), 560-579. https://doi.org/10.3390/rel5030560
Samuel, G. (2015). The contemporary mindfulness movement and the question of nonself. //Transcultural Psychiatry, 52//(4), 485-500. https://doi.org/10.1177/1363461514562061
Schomaker, S.A., & Ricard, R.J. (2015). Effect of a mindfulness-based intervention on counselor-client attunement. //Journal of Counseling and Development, 93//(4), 491-498. https://doi.org/10.1002/jcad.12047
Schure, M.B., Christopher, J., & Christopher, S. (2008). Mind–body medicine and the art of self-care: Teaching mindfulness to counseling students through Yoga, meditation, and Qigong. //Journal of Counseling and Development, 86//(1), 47-56. https://doi.org/10.1002/j.1556-6678.2008.tb00625.x
Sharf, R. (2014). Mindfulness and mindlessness in early chan. //Philosophy East & West, 64//(4), 933-964. http://dx.doi.org/10.1353/pew.2014.0074
Sharf, R.H. (2015). Is mindfulness Buddhist? (and why it matters). //Transcultural Psychiatry, 52//(4), 470-484. https://doi.org/10.1177/1363461514557561
Shonin, E., Van Gordon, W., & Griffiths, M.D. (2014). The emerging role of Buddhism in clinical psychology: Toward effective integration. //Psychology of Religion and Spirituality, 6//(2), 123-137. https://doi.org/10.1037/a0035859
Shonin, E., Van Gordon, W., & Griffiths, M.D. (2016). Ontological addiction: Classification, etiology, and treatment. //Mindfulness, 7//(3), 660-671. https://doi.org/10.1007/s12671-016-0501-4
Solomon, C., & Barden, S.M. (2016). Self-compassion: A mentorship framework for counselor educator mothers. //Counselor Education and Supervision, 55//(2), 137-149. https://doi.org/10.1002/ceas.12038
Sooksawat, A., Janwantanakul, P., Tencomnao, T., & Pensri, P. (2013). Are religious beliefs and practices of Buddhism associated with disability and salivary cortisol in office workers with chronic low back pain?. //BMC Musculoskeletal Disorders, 14//. https://doi.org/10.1186/1471-2474-14-29
Sowattanangoon, N., Kochabhakdi, N., & Petrie, K.J. (2008). Buddhist values are associated with better diabetes control in Thai patients. //International Journal of Psychiatry in Medicine, 38//(4), 481-491. https://doi.org/10.2190/PM.38.4.g
Stanley, S. (2012). Intimate distances: William James' introspection, Buddhist mindfulness, and experiential inquiry. //New Ideas in Psychology, 30//(2), 201-211. https://doi.org/10.1016/j.newideapsych.2011.10.001
Stella, M. (2016). Befriending death: A mindfulness-based approach to cultivating self-awareness in counselling students. //Death Studies, 40//(1), 32-39. https://doi.org/10.1080/07481187.2015.1056566
Strassberg, B.A. (2003). The plague of blood: HIV/AIDS and ethics of the global health-care challenge. //Zygon, 38//(1), 169-184. https://doi.org/10.1111/1467-9744.00490
Stratton, S.P. (2015). Mindfulness and contemplation: Secular and religious traditions in western context. //Counseling and Values, 60//(1), 100-118. https://doi.org/10.1002/j.2161-007X.2015.00063.x
Sun, J. (2014). Mindfulness in context: A historical discourse analysis. //Contemporary Buddhism, 15//(2), 394-415. https://doi.org/10.1080/14639947.2014.978088
Szczygiel, P. (2016). Maneuvering difficult emotional terrain in psychotherapy: A Buddhist-informed conceptual framework. //Clinical Social Work Journal, 44//(3), 241-251. https://doi.org/10.1007/s10615-015-0570-1
Tapanya, S., Nicki, R., & Jarusawad, O. (1997). Worry and intrinsic/extrinsic religious orientation among Buddhist (Thai) and Christian (Canadian) elderly persons. //International Journal of Aging & Human Development, 44//(1), 73-83. https://doi.org/10.2190/ENQG-HNV4-5G0D-CQ88
Thanissaro, P.N., & Kulupana, S. (2015). Buddhist teen worldview: Some normative background for health professionals. //Contemporary Buddhism, 16//(1), 28-42. https://doi.org/10.1080/14639947.2015.1006801
Thieleman, K., Cacciatore, J., & Hill, P.W. (2014). Traumatic bereavement and mindfulness: A preliminary study of mental health outcomes using the attend model. //Clinical Social Work Journal, 42//(3), 260-268. https://doi.org/10.1007/s10615-014-0491-4
Todd, N.R., & Abrams, E.M. (2011). White dialectics: A new framework for theory, research, and practice with white students. //Counseling Psychologist, 39//(3), 353-395. https://doi.org/10.1177/0011000010377665
Travis, F., & Shear, J. (2010). Focused attention, open monitoring and automatic self-transcending: Categories to organize meditations from Vedic, Buddhist and Chinese traditions. //Consciousness and Cognition, 19//(4), 1110-1118. https://doi.org/10.1016/j.concog.2010.01.007
Vago, D.R. (2014). Mapping modalities of self-awareness in mindfulness practice: A potential mechanism for clarifying habits of mind. //Annals of the New York Academy of Sciences, 1307//(1), 28-42. https://doi.org/10.1111/nyas.12270
Valerio, A. (2016). Owning mindfulness: A bibliometric analysis of mindfulness literature trends within and outside of Buddhist contexts. //Contemporary Buddhism, 17//(1), 157-183. https://doi.org/10.1080/14639947.2016.1162425
Verma, G., & Araya, R. (2010). The effect of meditation on psychological distress among Buddhist monks and nuns. //International Journal of Psychiatry in Medicine, 40//(4), 461-468. https://doi.org/10.2190/PM.40.4.h
Virtbauer, G. (2016). Presencing process: Embodiment and healing in the Buddhist practice of mindfulness of breathing. //Mental Health Religion & Culture, 19//(1), 68-81. https://doi.org/10.1080/13674676.2015.1115474
Wada, K., & Park, J. (2009). Integrating Buddhist psychology into grief counseling. //Death Studies, 33//(7), 657-683. https://doi.org/10.1080/07481180903012006
Wallace, B.A. (2001). Intersubjectivity in indo-tibetan Buddhism. //Journal of Consciousness Studies, 8//(5-7), 209-230.
Wang, C.L. (2017). No-self, natural sustainability and education for sustainable development. //Educational Philosophy and Theory, 49//(5), 550-561. https://doi.org/10.1080/00131857.2016.1217189
Wayment, H.A., Wiist, B., Sullivan, B.M., & Warren, M.A. (2011). Doing and being: Mindfulness, health, and quiet ego characteristics among Buddhist practitioners. //Journal of Happiness Studies, 12//(4), 575-589. https://doi.org/10.1007/s10902-010-9218-6
Wei, M.F., Tsai, P.C., Lannin, D.G., Du, Y., & Tucker, J.R. (2015). Mindfulness, psychological flexibility, and counseling self-efficacy: Hindering self-focused attention as a mediator. //Counseling Psychologist, 43//(1), 39-63. https://doi.org/10.1177/0011000014560173
West, W. (2002). Some ethical dilemmas in counselling and counselling research. //British Journal of Guidance & Counselling, 30//(3), 261-268. https://doi.org/10.1080/0306988021000002308
Wiist, W.H., Sullivan, B.M., Wayment, H.A., & Warren, M. (2010). A web-based survey of the relationship between Buddhist religious practices, health, and psychological characteristics: Research methods and preliminary results. //Journal of Religion & Health, 49//(1), 18-31. https://doi.org/10.1007/s10943-008-9228-4
Wijesinghe, S., & Parshall, M.B. (2016). Impermanence and sense of coherence: Lessons learned from the adaptive behaviors of Sri Lankan Buddhist nuns with a chronic illness. //Journal of Transcultural Nursing, 27//(2), 157-165. https://doi.org/10.1177/1043659614545402
Wu, J.T., & Wenning, M. (2016). The postsecular turn in education: Lessons from the mindfulness movement and the revival of confucian academies. //Studies in Philosophy and Education, 35//(6), 551-571. https://doi.org/10.1007/s11217-016-9513-8
Yang, X., & Mak, W.W.S. (2017). The differential moderating roles of self-compassion and mindfulness in self-stigma and well-being among people living with mental illness or HIV. //Mindfulness, 8//(3), 595-602. https://doi.org/10.1007/s12671-016-0635-4
Zalta, A. (2016). Contribution of Buddhist mindfulness to the transformation of conflicts – dependent origination (paticca-samuppada) and deconstruction of identity. //Asian Studies-azijske Studije, 4//(2), 139-151. https://doi.org/10.4312/as.2016.4.2.139-151
Zeng, X.L., Li, M.D., Zhang, B., & Liu, X.P. (2015). Revision of the philadelphia mindfulness scale for measuring awareness and equanimity in Goenka’s vipassana meditation with Chinese Buddhists. //Journal of Religion & Health, 54//(2), 623-637. https://doi.org/10.1007/s10943-014-9870-y
Zeng, X.L., Wei, J., Oei, T.P.S., & Liu, X.P. (2016). The self-compassion scale is not validated in a Buddhist sample. //Journal of Religion & Health, 55//(6), 1996-2009. https://doi.org/10.1007/s10943-016-0205-z
Amanullah, S., McNally, K., Zelin, J., Cole, J., & Cernovsky, Z. (2017). Are burnout prevention programs for hospital physicians needed?. //Asian Journal of Psychiatry, 26//, 66-69. https://doi.org/10.1016/j.ajp.2017.01.009
Amutio, A., Martinez-Taboada, C., Delgado, L.C., Hermosilla, D., & Mozaz, M.J. (2015). Acceptability and effectiveness of a long-term educational intervention to reduce physicians' stress-related conditions. //Journal of Continuing Education in the Health Professions, 35//(4), 255-260. https://doi.org/10.1097/CEH.0000000000000002
Asuero, A.M., Queralto, J.M., Pujol-Ribera, E., Berenguera, A., Rodriguez-Blanco, T., & Epstein, R.M. (2014). Effectiveness of a mindfulness education program in primary health care professionals: A pragmatic controlled trial. //Journal of Continuing Education in the Health Professions, 34//(1), 4-12. https://doi.org/10.1002/chp.21211
Atanes, A.C.M., Andreoni, S., Hirayama, M.S., Montero-Marin, J., Barros, V.V., Ronzani, T.M., ... & Demarzo, M.M.P. (2015). Mindfulness, perceived stress, and subjective well-being: A correlational study in primary care health professionals. //BMC Complementary and Alternative Medicine, 15//, 303. https://doi.org/10.1186/s12906-015-0823-0
Atkinson, D.M., Rodman, J.L., Thuras, P.D., Shiroma, P.R., & Lim, K.O. (2017). Examining burnout, depression, and self-compassion in veterans affairs mental health staff. //Journal of Alternative and Complementary Medicine, 23//(7), 551-557. https://doi.org/10.1089/acm.2017.0087
Baker, C., Huxley, P., Dennis, M., Islam, S., & Russell, I. (2015). Alleviating staff stress in care homes for people with dementia: Protocol for stepped-wedge cluster randomised trial to evaluate a web-based mindfulness- stress reduction course. //BMC Psychiatry, 15//, 317. https://doi.org/10.1186/s12888-015-0703-7
Braun, S.E., Auerbach, S.M., Rybarczyk, B., Lee, B., & Call, S. (2017). Mindfulness, burnout, and effects on performance evaluations in internal medicine residents. //Advances in Medical Education and Practice, 8//, 591-597. https://doi.org/10.2147/AMEP.S140554
Brennan, J., & McGrady, A. (2015). Designing and implementing a resiliency program for family medicine residents. //International Journal of Psychiatry in Medicine, 50//(1), 104-114. https://doi.org/10.1177/0091217415592369
Brooker, J., Julian, J., Webber, L., Chan, J., Shawyer, F., & Meadows, G. (2013). Evaluation of an occupational mindfulness program for staff employed in the disability sector in Australia. //Mindfulness, 4//(2), 122-136. https://doi.org/10.1007/s12671-012-0112-7
Charoensukmongkol, P. (2013). The contributions of mindfulness meditation on burnout, coping strategy, and job satisfaction: Evidence from Thailand. //Journal of Management & Organization, 19//(5), 544-558. https://doi.org/10.1017/jmo.2014.8
Charoensukmongkol, P. (2016). Mindful Facebooking: The moderating role of mindfulness on the relationship between social media use intensity at work and burnout. //Journal of Health Psychology, 21//(9), 1966-1980. https://doi.org/10.1177/1359105315569096
Chaukos, D., Chad-Friedman, E., Mehta, D.H., Byerly, L., Celik, A., Mccoy, T.H., ... & Denninger, J.W. (2017). Risk and resilience factors associated with resident burnout. //Academic Psychiatry, 41//(2), 189-194. https://doi.org/10.1007/s40596-016-0628-6
de Bruin, E.I., Formsma, A.R., Frijstein, G., & Bogels, S.M. (2017). Mindful2work: Effects of combined physical exercise, yoga, and mindfulness meditations for stress relieve in employees. A proof of concept study. //Mindfulness, 8//(1), 204-217. https://doi.org/10.1007/s12671-016-0593-x
Di Benedetto, M., & Swadling, M. (2014). Burnout in Australian psychologists: Correlations with work-setting, mindfulness and self-care behaviours. //Psychology Health & Medicine, 19//(6), 705-715. https://doi.org/10.1080/13548506.2013.861602
Fortney, L., Luchterhand, C., Zakletskaia, L., Zgierska, A., & Rakel, D. (2013). Abbreviated mindfulness intervention for job satisfaction, quality of life, and compassion in primary care clinicians: A pilot study. //Annals of Family Medicine, 11//(5), 412-420. https://doi.org/10.1370/afm.1511
Gazelle, G., Liebschutz, J.M., & Riess, H. (2015). Physician burnout: Coaching a way out. //Journal of General Internal Medicine, 30//(4), 508-513. https://doi.org/10.1007/s11606-014-3144-y
Gerzina, H.A., & Porfeli, E.J. (2012). Mindfulness as a predictor of positive reappraisal and burnout in standardized patients. //Teaching and Learning in Medicine, 24//(4), 309-314. https://doi.org/10.1080/10401334.2012.715255
Goldhagen, B.E., Kingsolver, K., Stinnett, S.S., & Rosdahl, J.A. (2015). Stress and burnout in residents: Impact of mindfulness-based resilience training. //Advances in Medical Education and Practice, 6//, 525-532. https://doi.org/10.2147/AMEP.S88580
Goodman, M.J., & Schorling, J.B. (2012). A mindfulness course decreases burnout and improves well-being among healthcare providers. //International Journal of Psychiatry in Medicine, 43//(2), 119-128. https://doi.org/10.2190/PM.43.2.b
Gustafsson, H., Davis, P., Skoog, T., Kentta, G., & Haberl, P. (2015). Mindfulness and its relationship with perceived stress, affect, and burnout in elite junior athletes. //Journal of Clinical Sport Psychology, 9//(3), 263-281. https://doi.org/10.1123/jcsp.2014-0051
Harker, R., Pidgeon, A.M., Klaassen, F., & King, S. (2016). Exploring resilience and mindfulness as preventative factors for psychological distress burnout and secondary traumatic stress among human service professionals. //Work - A Journal of Prevention Assessment & Rehabilitation, 54//(3), 631-637. https://doi.org/10.3233/WOR-162311
Hayes, S.C., Bissett, R., Roget, N., Padilla, M., Kohlenberg, B.S., Fisher, G., ... & Niccolls, R. (2004). The impact of acceptance and commitment training and multicultural training on the stigmatizing attitudes and professional burnout of substance abuse counselors. //Behavior Therapy, 35//(4), 821-835. https://doi.org/10.1016/S0005-7894(04)80022-4
Ireland, M.J., Clough, B., Gill, K., Langan, F., O'Connor, A., & Spencer, L. (2017). A randomized controlled trial of mindfulness to reduce stress and burnout among intern medical practitioners. //Medical Teacher, 39//(4), 409-414. https://doi.org/10.1080/0142159X.2017.1294749
Judd, M.J., Dorozenko, K.P., & Breen, L.J. (2017). Workplace stress, burnout and coping: A qualitative study of the experiences of australian disability support workers. //Health & Social Care in the Community, 25//(3), 1109-1117. https://doi.org/10.1111/hsc.12409
Kaplan, J.B., Bergman, A.L., Christopher, M., Bowen, S., & Hunsinger, M. (2017). Role of resilience in mindfulness training for first responders. //Mindfulness, 8//(5), 1373-1380. https://doi.org/10.1007/s12671-017-0713-2
Kotze, M., & Nel, P. (2016). The psychometric properties of the mindful attention awareness scale (MAAS) and Freiburg mindfulness inventory (FMI) as measures of mindfulness and their relationship with burnout and work engagement. //SA Journal of Industrial Psychology, 42//(1), a1366. https://doi.org/10.4102/sajip.v42i1.1366
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., ... & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. //JAMA: Journal of the American Medical Association, 302//(12), 1284-1293. https://doi.org/10.1001/jama.2009.1384
Lee, Y.C., Huang, S.C., Huang, C.H., & Wu, H.H. (2016). A new approach to identify high burnout medical staffs by kernel k-means cluster analysis in a regional teaching hospital in Taiwan. //INQUIRY: The Journal of Health Care Organization Provision and Financing, 53//, 1-6. https://doi.org/10.1177/0046958016679306
Lloyd, J., Bond, F.W., & Flaxman, P.E. (2013). The value of psychological flexibility: Examining psychological mechanisms underpinning a cognitive behavioural therapy intervention for burnout. //Work and Stress, 27//(2), 181-199. https://doi.org/10.1080/02678373.2013.782157
Magtibay, D.L., Chesak, S.S., Coughlin, K., & Sood, A. (2017). Decreasing stress and burnout in nurses efficacy of blended learning with stress management and resilience training program. //Journal of Nursing Administration, 47//(7-8), 391-395. https://doi.org/10.1097/NNA.0000000000000501
McClafferty, H., & Brown, O.W. (2014). Physician health and wellness. //Pediatrics, 134//(4), 830-835. https://doi.org/10.1542/peds.2014-2278
Montero-Marin, J., Tops, M., Manzanera, R., Demarzo, M.M.P., de Mon, M.A., & Garcia-Campayo, J. (2015). Mindfulness, resilience, and burnout subtypes in primary care physicians: The possible mediating role of positive and negative affect. //Frontiers in Psychology, 6//, 1895. https://doi.org/10.3389/fpsyg.2015.01895
Moody, K., Kramer, D., Santizo, R.O., Magro, L., Wyshogrod, D., Ambrosio, J., ... & Stein, J. (2013). Helping the helpers: Mindfulness training for burnout in pediatric oncology-a pilot program. //Journal of Pediatric Oncology Nursing, 30//(5), 275-284. https://doi.org/10.1177/1043454213504497
Norouzinia, R., Ramezani, Z., Khalili, A., Dehghani, M., & Sharifis, A. (2017). The effect of mindfulness-based stress reduction training on stress and burnout of nurses. //Indo American Journal of Pharmaceutical Sciences, 4//(5), 1296-1302. https://doi.org/10.5281/zenodo.802200
Pflugeisen, B.M., Drummond, D., Ebersole, D., Mundell, K., & Chen, D. (2016). Brief video-module administered mindfulness program for physicians: A pilot study. //Explore: The Journal of Science and Healing, 12//(1), 50-54. https://doi.org/10.1016/j.explore.2015.10.005
Reb, J., Narayanan, J., Chaturvedi, S., & Ekkirala, S. (2017). The mediating role of emotional exhaustion in the relationship of mindfulness with turnover intentions and job performance. //Mindfulness, 8//(3), 707-716. https://doi.org/10.1007/s12671-016-0648-z
Rees, C.S., Heritage, B., Osseiran-Moisson, R., Chamberlain, D., Cusack, L., Anderson, J., ... & Hegney, D.G. (2016). Can we predict burnout among student nurses? An exploration of the ICWR-1 model of individual psychological resilience. //Frontiers in Psychology, 7//, 1072. https://dx.doi.org/10.3389%2Ffpsyg.2016.01072
Regehr, C., Glancy, D., Pitts, A., & LeBlanc, V.R. (2014). Interventions to reduce the consequences of stress in physicians: A review and meta-analysis. //Journal of Nervous and Mental Disease, 202//(5), 353-359. https://doi.org/10.1097/NMD.0000000000000130
Ripp, J.A., Privitera, M.R., West, C.P., Leiter, R., Logio, L., Shapiro, J., ... & Bazari, H. (2017). Well-being in graduate medical education: A call for action. //Academic Medicine, 92//(7), 914-917. https://doi.org/10.1097/ACM.0000000000001735
Runyan, C., Savageau, J.A., Potts, S., & Weinreb, L. (2016). Impact of a family medicine resident wellness curriculum: A feasibility study. //Medical Education online, 21//, 30648. https://doi.org/10.3402/meo.v21.30648
Scarlet, J., Altmeyer, N., Knier, S., & Harpin, R.E. (2017). The effects of compassion cultivation training (CCT) on healthcare workers. //Clinical Psychologist, 21//(2), 116-124. https://doi.org/10.1111/cp.12130
Schneider, S., Kingsolver, K., & Rosdahl, J. (2014). Physician coaching to enhance well-being: A qualitative analysis of a pilot intervention. //Explore: The Journal of Science and Healing, 10//(6), 372-379. https://doi.org/10.1016/j.explore.2014.08.007
Steinberg, B.A., Klatt, M., & Duchemin, A.M. (2017). Feasibility of a mindfulness-based intervention for surgical intensive care unit personnel. //American Journal of Critical Care, 26//(1), 10-18. https://doi.org/10.4037/ajcc2017444
Suyi, Y., Meredith, P., & Khan, A. (2017). Effectiveness of mindfulness intervention in reducing stress and burnout for mental health professionals in singapore. //Explore: The Journal of Science and Healing, 13//(5), 319-326. https://doi.org/10.1016/j.explore.2017.06.001
Taylor, M., Hageman, J.R., & Brown, M. (2016). A mindfulness intervention for residents: Relevance for pediatricians. //Pediatric Annals, 45//(10), E373-E376. https://doi.org/10.3928/19382359-20160912-01
Taylor, N.Z., & Millear, P.M.R. (2016). The contribution of mindfulness to predicting burnout in the workplace. //Personality and Individual Differences, 89//, 123-128. https://doi.org/10.1016/j.paid.2015.10.005
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8), e0136955. https://doi.org/10.1371/journal.pone.0136955
Verweij, H., Waumans, R.C., Smeijers, D., Lucassen, P.L.B.J., Donders, A.R.T., van der Horst, H.E., ... & Speckens, A.E.M. (2016). Mindfulness-based stress reduction for GPs: Results of a controlled mixed methods pilot study in dutch primary care. //British Journal of General Practice, 66//(643), E99-E105. https://doi.org/10.3399/bjgp16X683497
Vilardaga, R., Luoma, J.B., Hayes, S.C., Pistorello, J., Levin, M.E., Hildebrandt, M.J., ... & Bond, F. (2011). Burnout among the addiction counseling workforce: The differential roles of mindfulness and values-based processes and work-site factors. //Journal of Substance Abuse Treatment, 40//(4), 323-335. https://doi.org/10.1016/j.jsat.2010.11.015
Voci, A., Veneziani, C.A., & Bernardi, S. (2016). Dispositional mindfulness and self-compassion as predictors of work-related well-being. //Psicologia Sociale, 11//(1), 69-88. https://doi.org/10.1482/82881
Voci, A., Veneziani, C.A., & Metta, M. (2016). Affective organizational commitment and dispositional mindfulness as correlates of burnout in health care professionals. //Journal of Workplace Behavioral Health, 31//(2), 63-70. https://doi.org/10.1080/15555240.2015.1047500
West, C.P., Dyrbye, L.N., Rabatin, J.T., Call, T.G., Davidson, J.H., Multari, A., ... & Shanafelt, T.D. (2014). Intervention to promote physician well-being, job satisfaction, and professionalism a randomized clinical trial. //JAMA Internal Medicine, 174//(4), 527-533. https://doi.org/10.1001/jamainternmed.2013.14387
Westphal, M., Bingisser, M.B., Feng, T.S., Wall, M., Blakley, E., Bingisser, R., ... & Kleim, B. (2015). Protective benefits of mindfulness in emergency room personnel. //Journal of Affective Disorders, 175//, 79-85. https://doi.org/10.1016/j.jad.2014.12.038
Yang, S.Y., Meredith, P., & Khan, A. (2017). Is mindfulness associated with stress and burnout among mental health professionals in singapore?. //Psychology Health & Medicine, 22//(6), 673-679. https://doi.org/10.1080/13548506.2016.1220595
Zhang, C.Q., Si, G.Y., Chung, P.K., & Gucciardi, D.F. (2016). Mindfulness and burnout in elite junior athletes: The mediating role of experiential avoidance. //Journal of Applied Sport Psychology, 28//(4), 437-451. https://doi.org/10.1080/10413200.2016.1162223
Zivnuska, S., Kacmar, K.M., & Valle, M. (2017). The mechanisms of regulatory focus mindfulness, leader-member exchange, and motivational outcomes. //Career Development International, 22//(1), 37-49. https://doi.org/10.1108/CDI-07-2016-0120
Abrahams, H.J.G., Gielissen, M.F.M., de Lugt, M., Kleijer, E.F.W., de Roos, W.K., Balk, E., ... & Knoop, H. (2017). The distress thermometer for screening for severe fatigue in newly diagnosed breast and colorectal cancer patients. //Psycho-Oncology, 26//(5), 693-697. https://doi.org/10.1002/pon.4208
Altschuler, A., Rosenbaum, E., Gordon, P., Canales, S., & Avins, A.L. (2012). Audio recordings of mindfulness-based stress reduction training to improve cancer patients' mood and quality of life-a pilot feasibility study. //Supportive Care in Cancer, 20//(6), 1291-1297. https://doi.org/10.1007/s00520-011-1216-7
Andersen, S.R., Wurtzen, H., Steding-Jessen, M., Christensen, J., Andersen, K.K., Flyger, H., ... & Dalton, S.O. (2013). Effect of mindfulness-based stress reduction on sleep quality: Results of a randomized trial among danish breast cancer patients. //Acta Oncologica, 52//(2), 336-344. https://doi.org/10.3109/0284186X.2012.745948
Arun, B., Austin, T., Babiera, G.V., Basen-Engquist, K., Carmack, C.L., Chaoul, A., ... & Yeung, S.C.J. (2017). A comprehensive lifestyle randomized clinical trial: Design and initial patient experience. //Integrative Cancer Therapies, 16//(1), 3-20. https://doi.org/10.1177/1534735416679516
Balneaves, L.G., Lee, R.T., Guns, E.S.T., Zick, S.M., Bauer-Wu, S., & Greenlee, H. (2014). Tenth international conference of the society for integrative oncology translational science in integrative oncology: From bedside to bench to best practices. //Integrative Cancer Therapies, 13//(1), 5-11. https://doi.org/10.1177/1534735413517743
Bidin, L., Pigaiani, L., Casini, M., Seghini, P., & Cavanna, L. (2016). Feasibility of a trial with Tibetan singing bowls, and suggested benefits in metastatic cancer patients. A pilot study in an Italian oncology unit. //European Journal of Integrative Medicine, 8//(5), 747-755. https://doi.org/10.1016/j.eujim.2016.06.003
Biegler, K.A., Chaoul, M.A., & Cohen, L. (2009). Cancer, cognitive impairment, and meditation. //Acta Oncologica, 48//(1), 18-26. https://doi.org/10.1080/02841860802415535
Bisseling, E.M., Schellekens, M.P.J., Jansen, E.T.M., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2017). Mindfulness-based stress reduction for breast cancer patients: A mixed method study on what patients experience as a suitable stage to participate. //Supportive Care in Cancer, 25//(10), 3067-3074. https://doi.org/10.1007/s00520-017-3714-8
Black, D.S., Li, M.J., Ihenacho, U., Nguyen, N.T., Reyes, M.D., Milam, J., ... & Figueiredo, J.C. (2016). Shared health characteristics in Hispanic colorectal cancer patients and their primary social support person following primary diagnosis. //Psycho-Oncology, 25//(9), 1028-1035. https://doi.org/10.1002/pon.3938
Black, D.S., Peng, C., Sleight, A.G., Nguyen, N., Lenz, H.J., & Figueiredo, J.C. (2017). Mindfulness practice reduces cortisol blunting during chemotherapy: A randomized controlled study of colorectal cancer patients. //Cancer, 123//(16), 3088-3096. https://doi.org/10.1002/cncr.30698
Blaes, A.H., Fenner, D., Bachanova, V., Torkelson, C., Geller, M., Haddad, T., ... & Kreitzer, M.J. (2016). Mindfulness-based cancer recovery in survivors recovering from chemotherapy and radiation. //Journal of Community and Supportive Oncology, 14//(8), 351-358. https://doi.org/10.12788/jcso.0244
Bower, J.E., Crosswell, A.D., Stanton, A.L., Crespi, C.M., Winston, D., Arevalo, J., ... & Ganz, P.A. (2015). Mindfulness meditation for younger breast cancer survivors: A randomized controlled trial. //Cancer, 121//(8), 1231-1240. https://doi.org/10.1002/cncr.29194
Boyle, C.C., Stanton, A.L., Ganz, P.A., Crespi, C.M., & Bower, J.E. (2017). Improvements in emotion regulation following mindfulness meditation: Effects on depressive symptoms and perceived stress in younger breast cancer survivors. //Journal of Consulting and Clinical Psychology, 85//(4), 397-402. https://doi.org/10.1037/ccp0000186
Brotto, L.A., Dunkley, C.R., Breckon, E., Carter, J., Brown, C., Daniluk, J., ... & Miller, D. (2017). Integrating quantitative and qualitative methods to evaluate an online psychoeducational program for sexual difficulties in colorectal and gynecologic cancer survivors. //Journal of Sex & Marital Therapy, 43//(7), 645-662. https://doi.org/10.1080/0092623X.2016.1230805
Brotto, L.A., Erskine, Y., Carey, M., Ehlen, T., Finlayson, S., Heywood, M., ... & Miller, D. (2012). A brief mindfulness-based cognitive behavioral intervention improves sexual functioning versus wait-list control in women treated for gynecologic cancer. //Gynecologic Oncology, 125//(2), 320-325. https://doi.org/10.1016/j.ygyno.2012.01.035
Brotto, L.A., Heiman, J.R., Goff, B., Greer, B., Lentz, G.M., Swisher, E., ... & Van Blaricom, A. (2008). A psychoeducational intervention for sexual dysfunction in women with gynecologic cancer. //Archives of Sexual Behavior, 37//(2), 317-329. https://doi.org/10.1007/s10508-007-9196-x
Butow, P.N., Bell, M.L., Smith, A.B., Fardell, J.E., Thewes, B., Turner, J., ... & Mihalopoulos, C. (2013). Conquer fear: Protocol of a randomised controlled trial of a psychological intervention to reduce fear of cancer recurrence. //BMC Cancer, 13//, 201. https://doi.org/10.1186/1471-2407-13-201
Campo, R.A., Bluth, K., Santacroce, S.J., Knapik, S., Tan, J., Gold, S., ... & Asher, G.N. (2017). A mindful self-compassion videoconference intervention for nationally recruited posttreatment young adult cancer survivors: Feasibility, acceptability, and psychosocial outcomes. //Supportive Care in Cancer, 25//(6), 1759-1768. https://doi.org/10.1007/s00520-017-3586-y
Carlson, L.E. (2016). Mindfulness-based interventions for coping with cancer. //Annals of the New York Academy of Sciences, 1373//, 5-12. https://doi.org/10.1111/nyas.13029
Carlson, L.E., & Bultz, B.D. (2008). Mind-body interventions in oncology. //Current Treatment Options in Oncology, 9//(2-3), 127-134. https://doi.org/10.1007/s11864-008-0064-2
Carlson, L.E., Beattie, T.L., Giese-Davis, J., Faris, P., Tamagawa, R., Fick, L.J., ... & Speca, M. (2015). Mindfulness-based cancer recovery and supportive-expressive therapy maintain telomere length relative to controls in distressed breast cancer survivors. //Cancer, 121//(3), 476-484. https://doi.org/10.1002/cncr.29063
Carlson, L.E., Doll, R., Stephen, J., Faris, P., Tamagawa, R., Drysdale, E., ... & Speca, M. (2013). Randomized controlled trial of mindfulness-based cancer recovery versus supportive expressive group therapy for distressed survivors of breast cancer (mindset). //Journal of Clinical Oncology, 31//(25), 3119-3126. https://doi.org/10.1200/JCO.2012.47.5210
Carlson, L.E., Speca, M., Faris, P., & Patel, K.D. (2007). One year pre-post intervention follow-up of psychological, immune, endocrine and blood pressure outcomes of mindfulness-based stress reduction (MBSR) in breast and prostate cancer outpatients. //Brain Behavior and Immunity, 21//(8), 1038-1049. https://doi.org/10.1016/j.bbi.2007.04.002
Carlson, L.E., Speca, M., Patel, K.D., & Goodey, E. (2003). Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress, and immune parameters in breast and prostate cancer outpatients. //Psychosomatic Medicine, 65//(4), 571-581. https://doi.org/10.1097/01.PSY.0000074003.35911.41
Carlson, L.E., Speca, M., Patel, K.D., & Goodey, E. (2004). Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress and levels of cortisol, dehydroepiandrosterone sulfate (DHEAS) and melatonin in breast and prostate cancer outpatients. //Psychoneuroendocrinology, 29//(4), 448-474. https://doi.org/10.1016/S0306-4530(03)00054-4
Carlson, L.E., Tamagawa, R., Stephen, J., Drysdale, E., Zhong, L.H., & Speca, M. (2016). Randomized-controlled trial of mindfulness-based cancer recovery versus supportive expressive group therapy among distressed breast cancer survivors (mindset): Long-term follow-up results. //Psycho-Oncology, 25//(7), 750-759. https://doi.org/10.1002/pon.4150
Carlson, L.E., Ursuliak, Z., Goodey, E., Angen, M., & Speca, M. (2001). The effects of a mindfulness meditation-based stress reduction program on mood and symptoms of stress in cancer outpatients: 6-month follow-up. //Supportive Care in Cancer, 9//(2), 112-123. https://doi.org/10.1007/s005200000206
Carlson, L.E., Zelinski, E.L., Speca, M., Balneaves, L.G., Jones, J.M., Mina, D.S., ... & Vohra, S. (2017). Protocol for the MATCH study (mindfulness and Tai Chi for cancer health): A preference-based multi-site randomized comparative effectiveness trial (CET) of mindfulness-based cancer recovery (MBCR) vs. Tai Chi/Qigong (TCQ) for cancer survivors. //Contemporary Clinical Trials, 59//, 64-76. https://doi.org/10.1016/j.cct.2017.05.015
Carmody, J., Olendzki, B., Reed, G., Andersen, V., & Rosenzweig, P. (2008). A dietary intervention for recurrent prostate cancer after definitive primary treatment: Results of a randomized pilot trial. //Urology, 72//(6), 1324-1328. https://doi.org/10.1016/j.urology.2008.01.015
Carmody, J.F., Olendzki, B.C., Merriam, P.A., Liu, Q., Qiao, Y.X., & Ma, Y.S. (2012). A novel measure of dietary change in a prostate cancer dietary program incorporating mindfulness training. //Journal of the Academy of Nutrition and Dietetics, 112//(11), 1822-1827. https://doi.org/10.1016/j.jand.2012.06.008
Carson, J.W., Carson, K.M., Olsen, M.K., Sanders, L., & Porter, L.S. (2017). Mindful yoga for women with metastatic breast cancer: Design of a randomized controlled trial. //BMC Complementary and Alternative Medicine, 17//, 153. https://doi.org/10.1186/s12906-017-1672-9
Chambers, S.K., Foley, E., Clutton, S., McDowall, R., Occhipinti, S., Berry, M., ... & Smith, D.P. (2016). The role of mindfulness in distress and quality of life for men with advanced prostate cancer. //Quality of Life Research, 25//(12), 3027-3035. https://doi.org/10.1007/s11136-016-1341-3
Chambers, S.K., Foley, E., Galt, E., Ferguson, M., & Clutton, S. (2012). Mindfulness groups for men with advanced prostate cancer: A pilot study to assess feasibility and effectiveness and the role of peer support. //Supportive Care in Cancer, 20//(6), 1183-1192. https://doi.org/10.1007/s00520-011-1195-8
Chambers, S.K., Hutchison, S., Clutton, S., & Dunn, J. (2014). Intervening to improve psychological outcomes after cancer: What is known and where next?. //Australian Psychologist, 49//(2), 96-103. https://doi.org/10.1111/ap.12044
Chambers, S.K., Smith, D.P., Berry, M., Lepore, S.J., Foley, E., Clutton, S., ... & Gardiner, R.A. (2013). A randomised controlled trial of a mindfulness intervention for men with advanced prostate cancer. //BMC Cancer, 13//, 89. https://doi.org/10.1186/1471-2407-13-89
Cohen, M., & Fried, G. (2007). Comparing relaxation training and cognitive-behavioral group therapy for women with breast cancer. //Research on Social Work Practice, 17//(3), 313-323. https://doi.org/10.1177/1049731506293741
Crane-Okada, R., Kiger, H., Anderson, N.L.R., Carroll-Johnson, R.M., Sugerman, F., Shapiro, S.L., ... & Wyman-McGinty, W. (2012). Participant perceptions of a mindful movement program for older women with breast cancer focus group results. //Cancer Nursing, 35//(3), E1-E10. https://doi.org/10.1097/NCC.0b013e31822539c5
Crane-Okada, R., Kiger, H., Sugerman, F., Uman, G.C., Shapiro, S.L., Wyman-McGinty, W., ... & Anderson, N.L.R. (2012). Mindful movement program for older breast cancer survivors a pilot study. //Cancer Nursing, 35//(4), E1-E13. https://doi.org/10.1097/NCC.0b013e3182280f73
Dobos, G., Overhamm, T., Bussing, A., Ostermann, T., Langhorst, J., Kummel, S., ... & Cramer, H. (2015). Integrating mindfulness in supportive cancer care: A cohort study on a mindfulness-based day care clinic for cancer survivors. //Supportive Care in Cancer, 23//(10), 2945-2955. https://doi.org/10.1007/s00520-015-2660-6
Dodds, S.E., Pace, T.W.W., Bell, M.L., Fiero, M., Negi, L.T., Raison, C.L., ... & Weihs, K.L. (2015). Feasibility of cognitively-based compassion training (CBCT) for breast cancer survivors: A randomized, wait list controlled pilot study. //Supportive Care in Cancer, 23//(12), 3599-3608. https://doi.org/10.1007/s00520-015-2888-1
Eyles, C., Leydon, G.M., Hoffman, C.J., Copson, E.R., Prescott, P., Chorozoglou, M., ... & Lewith, G. (2015). Mindfulness for the self-management of fatigue, anxiety, and depression in women with metastatic breast cancer: A mixed methods feasibility study. //Integrative Cancer Therapies, 14//(1), 42-56. https://doi.org/10.1177/1534735414546567
Fenlon, D.R., Khambhaita, P., & Hunter, M.S. (2015). Helping patients to help themselves after breast cancer treatment. //Clinical Oncology, 27//(11), 640-646. https://doi.org/10.1016/j.clon.2015.05.002
Fish, J.A., Ettridge, K., Sharplin, G.R., Hancock, B., & Knott, V.E. (2014). Mindfulness-based cancer stress management: Impact of a mindfulness-based programme on psychological distress and quality of life. //European Journal of Cancer care, 23//(3), 413-421. https://doi.org/10.1111/ecc.12136
Garland, E.L., Beck, A.C., Lipschitz, D.L., & Nakamura, Y. (2015). Dispositional mindfulness predicts attenuated waking salivary cortisol levels in cancer survivors: A latent growth curve analysis. //Journal of Cancer Survivorship, 9//(2), 215-222. https://doi.org/10.1007/s11764-014-0402-2
Garland, E.L., Thielking, P., Thomas, E.A., Coombs, M., White, S., Lombardi, J., ... & Beck, A. (2017). Linking dispositional mindfulness and positive psychological processes in cancer survivorship: A multivariate path analytic test of the mindfulness-to-meaning theory. //Psycho-Oncology, 26//(5), 686-692. https://doi.org/10.1002/pon.4065
Garland, S.N., Carlson, L.E., Antle, M.C., Samuels, C., & Campbell, T. (2011). I-CAN SLEEP: Rationale and design of a non-inferiority RCT of mindfulness-based stress reduction and cognitive behavioral therapy for the treatment of insomnia in cancer survivors. //Contemporary Clinical Trials, 32//(5), 747-754. https://doi.org/10.1016/j.cct.2011.05.014
Garland, S.N., Carlson, L.E., Cook, S., Lansdell, L., & Speca, M. (2007). A non-randomized comparison of mindfulness-based stress reduction and healing arts programs for facilitating post-traumatic growth and spirituality in cancer outpatients. //Supportive Care in Cancer, 15//(8), 949-961. https://doi.org/10.1007/s00520-007-0280-5
Garland, S.N., Johnson, J.A., Savard, J., Gehrman, P., Perlis, M., Carlson, L., ... & Campbell, T. (2014). Sleeping well with cancer: A systematic review of cognitive behavioral therapy for insomnia in cancer patients. //Neuropsychiatric Disease and Treatment, 10//, 1113-1124. https://doi.org/10.2147/NDT.S47790
Garland, S.N., Rouleau, C.R., Campbell, T., Samuels, C., & Carlson, L.E. (2015). The comparative impact of mindfulness-based cancer recovery (MBCR) and cognitive behavior therapy for insomnia (CBT-I) on sleep and mindfulness in cancer patients. //Explore: The Journal of Science and Healing, 11//(6), 445-454. https://doi.org/10.1016/j.explore.2015.08.004
Garlick, M., Wall, K., Corwin, D., & Koopman, C. (2011). Psycho-spiritual integrative therapy for women with primary breast cancer. //Journal of Clinical Psychology in Medical Settings, 18//(1), 78-90. https://doi.org/10.1007/s10880-011-9224-9
Hawkes, A.L., Pakenham, K.I., Chambers, S.K., Patrao, T.A., & Courneya, K.S. (2014). Effects of a multiple health behavior change intervention for colorectal cancer survivors on psychosocial outcomes and quality of life: A randomized controlled trial. //Annals of Behavioral Medicine, 48//(3), 359-370. https://doi.org/10.1007/s12160-014-9610-2
Hebert, J.R., Ebbeling, C.B., Olendzki, B.C., Hurley, T.G., Ma, Y.S., Saal, N., ... & Clemow, L. (2001). Change in women's diet and body mass following intensive intervention for early-stage breast cancer. //Journal of the American Dietetic Association, 101//(4), 421-431. https://doi.org/10.1016/S0002-8223(01)00109-2
Henderson, V., Clemow, L., Massion, A., Hurley, T., Druker, S., & Hebert, J.R. (2012). The effects of mindfulness-based stress reduction on psychosocial outcomes and quality of life in early-stage breast cancer patients: A randomized trial. //Breast Cancer Research and Treatment, 131//(1), 99-109. https://doi.org/10.1007/s10549-011-1738-1
Henderson, V.P., Massion, A.O., Clemow, L., Hurley, T.G., Druker, S., & Hebert, J.R. (2013). A randomized controlled trial of mindfulness-based stress reduction for women with early-stage breast cancer receiving radiotherapy. //Integrative Cancer Therapies, 12//(5), 404-413. https://doi.org/10.1177/1534735412473640
Ho, R.T.H., Wan, A.H.Y., Chan, J.S.M., Ng, S.M., Chung, K.F., & Chan, C.L.W. (2017). Study protocol on comparative effectiveness of mindfulness meditation and Qigong on psychophysiological outcomes for patients with colorectal cancer: A randomized controlled trial. //BMC Complementary and Alternative Medicine, 17//, 390. https://doi.org/10.1186/s12906-017-1898-6
Hoffman, C.J., Ersser, S.J., Hopkinson, J.B., Nicholls, P.G., Harrington, J.E., & Thomas, P.W. (2012). Effectiveness of mindfulness-based stress reduction in mood, breast- and endocrine-related quality of life, and well-being in stage 0 to iii breast cancer: A randomized, controlled trial. //Journal of Clinical Oncology, 30//(12), 1335-1342. https://doi.org/10.1200/JCO.2010.34.0331
Hsiao, F.H., Jow, G.M., Kuo, W.H., Yang, P.S., Lam, H.B., Chang, K.J., ... & Chang, C.H. (2016). The long-term effects of mindfulness added to family resilience-oriented couples support group on psychological well-being and cortisol responses in breast cancer survivors and their partners. //Mindfulness, 7//(6), 1365-1376. https://doi.org/10.1007/s12671-016-0578-9
Huang, H.P., He, M., Wang, H.Y., & Zhou, M.J. (2016). A meta-analysis of the benefits of mindfulness-based stress reduction (MBSR) on psychological function among breast cancer (BC) survivors. //Breast Cancer, 23//(4), 568-576. https://doi.org/10.1007/s12282-015-0604-0
Huang, J.Y., & Shi, L. (2016). The effectiveness of mindfulness-based stress reduction (MBSR) for survivors of breast cancer: Study protocol for a randomized controlled trial. //Trials, 17//, 209. https://doi.org/10.1186/s13063-016-1335-z
Jang, S.H., Kang, S.Y., Lee, H.J., & Lee, S.Y. (2016). Beneficial effect of mindfulness-based art therapy in patients with breast cancer-a randomized controlled trial. //Explore: The Journal of Science and Healing, 12//(5), 333-340. https://doi.org/10.1016/j.explore.2016.06.003
Jensen, C.G., Elsass, P., Neustrup, L., Bihal, T., Flyger, H., Kay, S.M., ... & Wurtzen, H. (2014). What to listen for in the consultation. breast cancer patients' own focus on talking about acceptance-based psychological coping predicts decreased psychological distress and depression. //Patient Education and Counseling, 97//(2), 165-172. https://doi.org/10.1016/j.pec.2014.07.020
Johannsen, M., O'Connor, M., O'Toole, M.S., Jensen, A.B., Hojris, I., & Zachariae, R. (2016). Efficacy of mindfulness-based cognitive therapy on late post-treatment pain in women treated for primary breast cancer: A randomized controlled trial. //Journal of Clinical Oncology, 34//(28), 3390-3399. https://doi.org/10.1200/JCO.2015.65.0770
Johannsen, M., O'Toole, M.S., O'Connor, M., Jensen, A.B., & Zachariae, R. (2017). Clinical and psychological moderators of the effect of mindfulness-based cognitive therapy on persistent pain in women treated for primary breast cancer - Explorative analyses from a randomized controlled trial. //Acta Oncologica, 56//(2), 321-328. https://doi.org/10.1080/0284186X.2016.1268713
Johns, S.A., Brown, L.F., Beck-Coon, K., Monahan, P.O., Tong, Y., & Kroenke, K. (2015). Randomized controlled pilot study of mindfulness-based stress reduction for persistently fatigued cancer survivors. //Psycho-Oncology, 24//(8), 885-893. https://doi.org/10.1002/pon.3648
Johns, S.A., Brown, L.F., Beck-Coon, K., Talib, T.L., Monahan, P.O., Giesler, R.B., ... & Kroenke, K. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction compared to psychoeducational support for persistently fatigued breast and colorectal cancer survivors. //Supportive Care in Cancer, 24//(10), 4085-4096. https://doi.org/10.1007/s00520-016-3220-4
Johns, S.A., Von Ah, D., Brown, L.F., Beck-Coon, K., Talib, T.L., Alyea, J.M., ... & Giesler, R.B. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction for breast and colorectal cancer survivors: Effects on cancer-related cognitive impairment. //Journal of Cancer Survivorship, 10//(3), 437-448. https://doi.org/10.1007/s11764-015-0494-3
Johnston, D. (2012). Mindfulness: A proposed couple-based intervention for the altered self-identity of breast cancer survivors. //Mindfulness, 3//(4), 282-290. https://doi.org/10.1007/s12671-012-0093-6
Jones, P., Blunda, M., Biegel, G., Carlson, L.E., Biel, M., & Wiener, L. (2013). Can mindfulness-based interventions help adolescents with cancer?. //Psycho-Oncology, 22//(9), 2148-2151. https://doi.org/10.1002/pon.3251
Kiely, D., & Schwartz, S. (2016). Mindfulness as an intervention for breast cancer survivors. //Clinical Journal of Oncology Nursing, 20//(4), 357-359. https://doi.org/10.1188/16.CJON.357-359
Kroz, M., Reif, M., Glinz, A., Berger, B., Nikolaou, A., Zerm, R., ... & Gutenbrunner, C. (2017). Impact of a combined multimodal-aerobic and multimodal intervention compared to standard aerobic treatment in breast cancer survivors with chronic cancer-related fatigue - Results of a three-armed pragmatic trial in a comprehensive cohort design. //BMC Cancer, 17//, 166. https://doi.org/10.1186/s12885-017-3142-7
Krychman, M.L., & Katz, A. (2012). Breast cancer and sexuality: Multi-modal treatment options (CME). //Journal of Sexual Medicine, 9//(1), 5-13. https://doi.org/10.1111/j.1743-6109.2011.02566.x
Kvillemo, P., & Branstrom, R. (2014). Coping with breast cancer: A meta-analysis. //PLOS ONE, 9//(11), e112733. https://doi.org/10.1371/journal.pone.0112733
Labelle, L.E., Campbell, T.S., Faris, P., & Carlson, L.E. (2015). Mediators of mindfulness-based stress reduction (MBSR): Assessing the timing and sequence of change in cancer patients. //Journal of Clinical Psychology, 71//(1), 21-40. https://doi.org/10.1002/jclp.22117
Lee, C.E., Kim, S., Kim, S., Joo, H.M., & Lee, S. (2017). Effects of a mindfulness-based stress reduction program on the physical and psychological status and quality of life in patients with metastatic breast cancer. //Holistic Nursing Practice, 31//(4), 260-269. https://doi.org/10.1097/HNP.0000000000000220
Lehto, R.H., & Wyatt, G. (2013). Perceptions about using mindfulness therapy a lung cancer focus group study. //Cancer Nursing, 36//(4), E51-E60. https://doi.org/10.1097/NCC.0b013e31826d2f16
Lengacher, C.A., Johnson-Mallard, V., Post-White, J., Moscoso, M.S., Jacobsen, P.B., Klein, T.W., ... & Kip, K.E. (2009). Randomized controlled trial of mindfulness-based stress reduction (MBSR) for survivors of breast cancer. //Psycho-Oncology, 18//(12), 1261-1272. https://doi.org/10.1002/pon.1529
Lengacher, C.A., Kip, K.E., Post-White, J., Fitzgerald, S., Newton, C., Barta, M., ... & Klein, T.W. (2013). Lymphocyte recovery after breast cancer treatment and mindfulness-based stress reduction (MBSR) therapy. //Biological Research for Nursing, 15//(1), 37-47. https://doi.org/10.1177/1099800411419245
Lengacher, C.A., Kip, K.E., Reich, R.R., Craig, B.M., Mogos, M., Ramesar, S., ... & Pracht, E. (2015). A cost-effective mindfulness stress reduction program: A randomized control trial for breast cancer survivors. //Nursing Economics, 33//(4), 210-232.
Lengacher, C.A., Reich, R.R., Kip, K.E., Barta, M., Ramesar, S., Paterson, C.L., ... & Park, J.Y. (2014). Influence of mindfulness-based stress reduction (MBSR) on telomerase activity in women with breast cancer (BC). //Biological Research for Nursing, 16//(4), 438-447. https://doi.org/10.1177/1099800413519495
Lengacher, C.A., Reich, R.R., Kip, K.E., Paterson, C.L., Park, H.Y., Ramesar, S., ... & Park, J.Y. (2015). Moderating effects of genetic polymorphisms on improvements in cognitive impairment in breast cancer survivors participating in a 6-week mindfulness-based stress reduction program. //Biological Research for Nursing, 17//(4), 393-404. https://doi.org/10.1177/1099800415577633
Lengacher, C.A., Reich, R.R., Paterson, C.L., Jim, H.S., Ramesar, S., Alinat, C.B., ... & Kip, K.E. (2015). The effects of mindfulness-based stress reduction on objective and subjective sleep parameters in women with breast cancer: A randomized controlled trial. //Psycho-Oncology, 24//(4), 424-432. https://doi.org/10.1002/pon.3603
Lengacher, C.A., Reich, R.R., Paterson, C.L., Ramesar, S., Park, J.Y., Alinat, C., ... & Kip, K.E. (2016). Examination of broad symptom improvement resulting from mindfulness-based stress reduction in breast cancer survivors: A randomized controlled trial. //Journal of Clinical Oncology, 34//(24), 2827-2834. https://doi.org/10.1200/JCO.2015.65.7874
Lengacher, C.A., Reich, R.R., Post-White, J., Moscoso, M., Shelton, M.M., Barta, M., ... & Budhrani, P. (2012). Mindfulness based stress reduction in post-treatment breast cancer patients: An examination of symptoms and symptom clusters. //Journal of Behavioral Medicine, 35//(1), 86-94. https://doi.org/10.1007/s10865-011-9346-4
Lengacher, C.A., Shelton, M.M., Reich, R.R., Barta, M.K., Johnson-Mallard, V., Moscoso, M.S., ... & Kip, K.E. (2014). Mindfulness based stress reduction (MBSR(BC)) in breast cancer: Evaluating fear of recurrence (FOR) as a mediator of psychological and physical symptoms in a randomized control trial (RCT). //Journal of Behavioral Medicine, 37//(2), 185-195. https://doi.org/10.1007/s10865-012-9473-6
Lerman, R., Jarski, R., Rea, H., Gellish, R., & Vicini, F. (2012). Improving symptoms and quality of life of female cancer survivors: A randomized controlled study. //Annals of Surgical Oncology, 19//(2), 373-378. https://doi.org/10.1245/s10434-011-2051-2
Lesiuk, T. (2015). The effect of mindfulness-based music therapy on attention and mood in women receiving adjuvant chemotherapy for breast cancer: A pilot study. //Oncology Nursing Forum, 42(3)//, 276-282. https://doi.org/10.1188/15.ONF.276-282
Levy, A., & Cartwright, T. (2015). Men's strategies for preserving emotional well-being in advanced prostate cancer: An interpretative phenomenological analysis. //Psychology & Health, 30//(10), 1164-1182. https://doi.org/10.1080/08870446.2015.1040016
Leydon, G.M., Eyles, C., & Lewith, G.T. (2012). A mixed methods feasibility study of mindfulness meditation for fatigue in women with metastatic breast cancer. //European Journal of Integrative Medicine, 4//(4), E429-E435. https://doi.org/10.1016/j.eujim.2012.05.003
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Donaldson, G.W., & Nakamura, Y. (2013). Reduction in salivary alpha-amylase levels following a mind-body intervention in cancer survivors - An exploratory study. //Psychoneuroendocrinology, 38//(9), 1521-1531. https://doi.org/10.1016/j.psyneuen.2012.12.021
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Grewen, K., Donaldson, G.W., & Nakamura, Y. (2015). An exploratory study of the effects of mind-body interventions targeting sleep on salivary oxytocin levels in cancer survivors. //Integrative Cancer Therapies, 14//(4), 366-380. https://doi.org/10.1177/1534735415580675
Liu, S., Qiu, G., & Louie, W. (2017). Use of mindfulness sitting meditation in chinese american women in treatment of cancer. //Integrative Cancer Therapies, 16//(1), 110-117. https://doi.org/10.1177/1534735416649661
Loizzo, J.J., Peterson, J.C., Charlson, M.E., Wolf, E.J., Altemus, M., Briggs, W.M., ... & Caputo, T.A. (2010). The effect of a contemplative self-healing program on quality of life in women with breast and gynecologic cancers. //Alternative Therapies in Health and Medicine, 16//(3), 30-37.
Lotzke, D., Wiedemann, F., Recchia, D.R., Ostermann, T., Sattler, D., Ettl, J., ... & Bussing, A. (2016). Iyengar-yoga compared to exercise as a therapeutic intervention during (Neo)adjuvant therapy in women with stage I–III breast cancer: Health-related quality of life, mindfulness, spirituality, life satisfaction, and cancer-related fatigue. //Evidence-based Complementary and Alternative Medicine, 2006//, 5931816. https://doi.org/10.1155/2016/5931816
Malboeuf-Hurtubise, C., Achille, M., Muise, L., Beauregard-Lacroix, R., Vadnais, M., & Lacourse, E. (2016). A mindfulness-based meditation pilot study: Lessons learned on acceptability and feasibility in adolescents with cancer. //Journal of Child and Family Studies, 25//(4), 1168-1177. https://doi.org/10.1007/s10826-015-0299-z
Malboeuf-Hurtubise, C., Achille, M., Sultan, S., & Vadnais, M. (2013). Mindfulness-based intervention for teenagers with cancer: Study protocol for a randomized controlled trial. //Trials, 14//, 135. https://doi.org/10.1186/1745-6215-14-135
Mansky, P.J., & Wallerstedt, D.B. (2006). Complementary medicine in palliative care and cancer symptom management. //Cancer Journal, 12//(5), 425-431. https://doi.org/10.1097/00130404-200609000-00011
Massion, A.O., Teas, J., Hebert, J.R., Wertheimer, M.D., & Kabatzinn, J. (1995). Meditation, melatonin and breast prostate-cancer - Hypothesis and preliminary data. //Medical Hypotheses, 44//(1), 39-46. https://doi.org/10.1016/0306-9877(95)90299-6
Matchim, Y., Armer, J.M., & Stewart, B.R. (2011). Effects of mindfulness-based stress reduction (MBSR) on health among breast cancer survivors. //Western Journal of Nursing Research, 33//(8), 996-1016. https://doi.org/10.1177/0193945910385363
Matousek, R.H., & Dobkin, P.L. (2010). Weathering storms: A cohort study of how participation in a mindfulness-based stress reduction program benefits women after breast cancer treatment. //Current Oncology, 17//(4), 62-70.
Melton, L.M. (2016). If I don't laugh, I'll cry: Exploring humor coping in breast cancer. //Journal of Psychosocial Oncology, 34//(6), 530-541. https://doi.org/10.1080/07347332.2016.1233926
Milbury, K., Chaoul, A., Biegler, K., Wangyal, T., Spelman, A., Meyers, C.A., ... & Cohen, L. (2013). Tibetan sound meditation for cognitive dysfunction: Results of a randomized controlled pilot trial. //Psycho-Oncology, 22//(10), 2354-2363. https://doi.org/10.1002/pon.3296
Mohabbat-Bahar, S., Maleki-Rizi, F., Akbari, M.E., & Moradi-Joo, M. (2015). Effectiveness of group training based on acceptance and commitment therapy on anxiety and depression of women with breast cancer. //Iranian Journal of Cancer Prevention, 8//(2), 71-76.
Monti, D.A., Kash, K.M., Kunkel, E.J., Moss, A., Mathews, M., Brainard, G., ... & Newberg, A.B. (2013). Psychosocial benefits of a novel mindfulness intervention versus standard support in distressed women with breast cancer. //Psycho-Oncology, 22//(11), 2565-2575. https://doi.org/10.1002/pon.3320
Monti, D.A., Kash, K.M., Kunkel, E.J.S., Brainard, G., Wintering, N., Moss, A.S., ... & Newberg, A.B. (2012). Changes in cerebral blood flow and anxiety associated with an 8-week mindfulness programme in women with breast cancer. //Stress and Health, 28//(5), 397-407. https://doi.org/10.1002/smi.2470
Nakamura, Y., Lipschitz, D.L., Kuhn, R., Kinney, A.Y., & Donaldson, G.W. (2013). Investigating efficacy of two brief mind-body intervention programs for managing sleep disturbance in cancer survivors: A pilot randomized controlled trial. //Journal of Cancer Survivorship, 7//(2), 165-182. https://doi.org/10.1007/s11764-012-0252-8
Patterson, P., & McDonald, F.E.J. (2015). Being mindful: Does it help adolescents and young adults who have completed cancer treatment?. //Journal of Pediatric Oncology Nursing, 32//(4), 189-194. https://doi.org/10.1177/1043454214563401
Paul, A., Cramer, H., Lauche, R., Altner, N., Langhorst, J., & Dobos, G.J. (2013). An oncology mind-body medicine day care clinic: Concept and case presentation. //Integrative Cancer Therapies, 12//(6), 503-507. https://doi.org/10.1177/1534735412473639
Pollard, A., Burchell, J.L., Castle, D., Neilson, K., Ftanou, M., Corry, J., ... & Couper, J. (2017). Individualised mindfulness-based stress reduction for head and neck cancer patients undergoing radiotherapy of curative intent: A descriptive pilot study. //European Journal of Cancer Care, 26//(2), e12474. https://doi.org/10.1111/ecc.12474
Poulin, P.A., Romanow, H.C., Rahbari, N., Small, R., Smyth, C.E., Hatchard, T., ... & Wilson, K.G. (2016). The relationship between mindfulness, pain intensity, pain catastrophizing, depression, and quality of life among cancer survivors living with chronic neuropathic pain. //Supportive Care in Cancer, 24//(10), 4167-4175. https://doi.org/10.1007/s00520-016-3243-x
Przezdziecki, A., & Sherman, K.A. (2016). Modifying affective and cognitive responses regarding body image difficulties in breast cancer survivors using a self-compassion-based writing intervention. //Mindfulness, 7//(5), 1142-1155. https://doi.org/10.1007/s12671-016-0557-1
Przezdziecki, A., Sherman, K.A., Baillie, A., Taylor, A., Foley, E., & Stalgis-Bilinski, K. (2013). My changed body: Breast cancer, body image, distress and self-compassion. //Psycho-Oncology, 22//(8), 1872-1879. https://doi.org/10.1002/pon.3230
Rabin, C., Pinto, B., & Fava, J. (2016). Randomized trial of a physical activity and meditation intervention for young adult cancer survivors. //Journal of Adolescent and Young Adult Oncology, 5//(1), 41-47. https://doi.org/10.1089/jayao.2015.0033
Reich, R.R., Lengacher, C.A., Alinat, C.B., Kip, K.E., Paterson, C., Ramesar, S., ... & Park, J. (2017). Mindfulness-based stress reduction in post-treatment breast cancer patients: Immediate and sustained effects across multiple symptom clusters. //Journal of Pain and Symptom Management, 53//(1), 85-95. https://doi.org/10.1016/j.jpainsymman.2016.08.005
Reich, R.R., Lengacher, C.A., Kip, K.E., Shivers, S.C., Schell, M.J., Shelton, M.M., ... & Klein, T.W. (2014). Baseline immune biomarkers as predictors of MBSR(BC) treatment success in off-treatment breast cancer patients. //Biological Research for Nursing, 16//(4), 429-437. https://doi.org/10.1177/1099800413519494
Reich, R.R., Lengacher, C.A., Klein, T.W., Newton, C., Shivers, S., Ramesar, S., ... & Kip, K.E. (2017). A randomized controlled trial of the effects of mindfulness-based stress reduction (MBSR[BC]) on levels of inflammatory biomarkers among recovering breast cancer survivors. //Biological Research for Nursing, 19//(4), 456-464. https://doi.org/10.1177/1099800417707268
Reynolds, L.M., Bissett, I.P., Porter, D., & Consedine, N.S. (2016). The "ICK" factor matters: Disgust prospectively predicts avoidance in chemotherapy patients. //Annals of Behavioral Medicine, 50//(6), 935-945. https://doi.org/10.1007/s12160-016-9820-x
Reynolds, L.M., Bissett, I.P., Porter, D., & Consedine, N.S. (2017). A brief mindfulness intervention is associated with negative outcomes in a randomised controlled trial among chemotherapy patients. //Mindfulness, 8//(5), 1291-1303. https://doi.org/10.1007/s12671-017-0705-2
Reynolds, L.M., Consedine, N.S., Pizarro, D.A., & Bissett, I.P. (2013). Disgust and behavioral avoidance in colorectal cancer screening and treatment: A systematic review and research agenda. //Cancer Nursing, 36//(2), 122-130. https://doi.org/10.1097/NCC.0b013e31826a4b1b
Rotegard, A.K., Fagermoen, M.S., & Ruland, C.M. (2012). Cancer patients' experiences of their personal strengths through illness and recovery. //Cancer Nursing, 35//(1), E8-E17. https://doi.org/10.1097/NCC.0b013e3182116497
Sarenmalm, E.K., Martensson, L.B., Andersson, B.A., Karlsson, P., & Bergh, I. (2017). Mindfulness and its efficacy for psychological and biological responses in women with breast cancer. //Cancer Medicine, 6//(5), 1108-1122. https://doi.org/10.1002/cam4.1052
Saxe, G.A., Hebert, J.R., Carmody, J.F., Kabat-Zinn, J., Rosenzweig, P.H., Jarzobski, D., ... & Blute, R.D. (2001). Can diet in conjunction with stress reduction affect the rate of increase in prostate specific antigen after biochemical recurrence of prostate cancer?. //Journal of Urology, 166//(6), 2202-2207. https://doi.org/10.1016/S0022-5347(05)65535-8
Schellekens, M.P.J., Jansen, E.T.M., Willemse, H.H.M.A., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2016). A qualitative study on mindfulness-based stress reduction for breast cancer patients: How women experience participating with fellow patients. //Supportive Care in Cancer, 24//(4), 1813-1820. https://doi.org/10.1007/s00520-015-2954-8
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
Schellekens, M.P.J., Tamagawa, R., Labelle, L.E., Speca, M., Stephen, J., Drysdale, E., ... & Carlson, L.E. (2017). Mindfulness-based cancer recovery (MBCR) versus supportive expressive group therapy (SET) for distressed breast cancer survivors: Evaluating mindfulness and social support as mediators. //Journal of Behavioral Medicine, 40//(3), 414-422. https://doi.org/10.1007/s10865-016-9799-6
Schellekens, M.P.J., van den Hurk, D.G.M., Prins, J.B., Molema, J., Donders, A.R.T., Woertman, W.H., ... & Speckens, A.E.M. (2014). Study protocol of a randomized controlled trial comparing mindfulness-based stress reduction with treatment as usual in reducing psychological distress in patients with lung cancer and their partners: The MILON study. //BMC Cancer, 14//, 3. https://doi.org/10.1186/1471-2407-14-3
Shao, D., Gao, W., & Cao, F.L. (2016). Brief psychological intervention in patients with cervical cancer: A randomized controlled trial. //Health Psychology, 35//(12), 1383-1391. https://doi.org/10.1037/hea0000407
Shapiro, S.L., Bootzin, R.R., Figueredo, A.J., Lopez, A.M., & Schwartz, G.E. (2003). The efficacy of mindfulness-based stress reduction in the treatment of sleep disturbance in women with breast cancer - An exploratory study. //Journal of Psychosomatic Research, 54//(1), 85-91. https://doi.org/10.1016/S0022-3999(02)00546-9
Sharplin, G.R., Jones, S.B.W., Hancock, B., Knott, V.E., Bowden, J.A., & Whitford, H.S. (2010). Mindfulness-based cognitive therapy: An efficacious community-based group intervention for depression and anxiety in a sample of cancer patients. //Medical Journal of Australia, 193//(5), S79-S82.
Sleight, A., & Clark, F. (2015). Unlocking the core self: Mindful occupation for cancer survivorship. //Journal of Occupational Science, 22//(4), 477-487. https://doi.org/10.1080/14427591.2015.1008025
Spahn, G., Choi, K.E., Kennemann, C., Ludtke, R., Franken, U., Langhorst, J., ... & Dobos, G.J. (2013). Can a multimodal mind-body program enhance the treatment effects of physical activity in breast cancer survivors with chronic tumor-associated fatigue? A randomized controlled trial. //Integrative Cancer Therapies, 12//(4), 291-300. https://doi.org/10.1177/1534735413492727
Speca, M., Carlson, L.E., Goodey, E., & Angen, M. (2000). A randomized, wait-list controlled clinical trial: The effect of a mindfulness meditation-based stress reduction program on mood and symptoms of stress in cancer outpatients. //Psychosomatic Medicine, 62//(5), 613-622.
Speck, R., DeMichele, A., Farrar, J., Hennessy, S., Mao, J., Stineman, M., ... & Barg, F. (2012). Scope of symptoms and self-management strategies for chemotherapy-induced peripheral neuropathy in breast cancer patients. //Supportive Care in Cancer, 20//(10), 2433-2439. https://doi.org/10.1007/s00520-011-1365-8
Spector, D., Battaglini, C., Alsobrooks, A., Owen, J., & Groff, D. (2012). Do breast cancer survivors increase their physical activity and enhance their health-related quality of life after attending community-based wellness workshops?. //Journal of Cancer Education, 27//(2), 353-361. https://doi.org/10.1007/s13187-011-0306-z
Stafford, L., Foley, E., Judd, F., Gibson, P., Kiropoulos, L., & Couper, J. (2013). Mindfulness-based cognitive group therapy for women with breast and gynecologic cancer: A pilot study to determine effectiveness and feasibility. //Supportive Care in Cancer, 21//(11), 3009-3019. https://doi.org/10.1007/s00520-013-1880-x
Stafford, L., Thomas, N., Foley, E., Judd, F., Gibson, P., Komiti, A., ... & Kiropoulos, L. (2015). Comparison of the acceptability and benefits of two mindfulness-based interventions in women with breast or gynecologic cancer: A pilot study. //Supportive Care in Cancer, 23//(4), 1063-1071. https://doi.org/10.1007/s00520-014-2442-6
Tacon, A.M. (2003). Meditation as a complementary therapy in cancer. //Family & Community Health, 26//(1), 64-73. http://dx.doi.org/10.1097/00003727-200301000-00008
Tacon, A.M. (2011). Mindfulness: Existential, loss, and grief factors in women with breast cancer. //Journal of Psychosocial Oncology, 29//(6), 643-656. https://doi.org/10.1080/07347332.2011.615382
Tacon, A.M., & McComb, J. (2009). Mindful exercise, quality of life, and survival: A mindfulness-based exercise program for women with breast cancer. //Journal of Alternative and Complementary Medicine, 15//(1), 41-46. https://doi.org/10.1089/acm.2008.0255
Tamagawa, R., Giese-Davis, J., Speca, M., Doll, R., Stephen, J., & Carlson, L.E. (2013). Trait mindfulness, repression, suppression, and self-reported mood and stress symptoms among women with breast cancer. //Journal of Clinical Psychology, 69//(3), 264-277. https://doi.org/10.1002/jclp.21939
Tamagawa, R., Speca, M., Stephen, J., Pickering, B., Lawlor-Savage, L., & Carlson, L.E. (2015). Predictors and effects of class attendance and home practice of yoga and meditation among breast cancer survivors in a mindfulness-based cancer recovery (MBCR) Program. //Mindfulness, 6//(5). 1201-1210. https://doi.org/10.1007/s12671-014-0381-4
Thomas, R., Quinlan, E., Kowalski, K., Spriggs, P., & Hamoline, R. (2014). Beyond the body insights from an Iyengar yoga program for women with disability after breast cancer. //Holistic Nursing Practice, 28//(6), 353-361. https://doi.org/10.1097/HNP.0000000000000049
Thornton, L.M., Cheavens, J., Heitzmann, C.A., Dorfman, C.S., Wu, S.M., & Andersen, B.L. (2014). Test of mindfulness and hope components in a psychological intervention for women with cancer recurrence. //Journal of Consulting and Clinical Psychology, 82//(6), 1087-1100. https://doi.org/10.1037/a0036959
van den Hurk, D.G.M., Schellekens, M.P.J., Molema, J., Speckens, A.E.M., & van der Drift, M.A. (2015). Mindfulness-based stress reduction for lung cancer patients and their partners: Results of a mixed methods pilot study. //Palliative Medicine, 29//(7), 652-660. https://doi.org/10.1177/0269216315572720
Van der Gucht, K., Takano, K., Labarque, V., Vandenabeele, K., Nolf, N., Kuylen, S., ... & Raes, F. (2017). A mindfulness-based intervention for adolescents and young adults after cancer treatment: Effects on quality of life, emotional distress, and cognitive vulnerability. //Journal of Adolescent and Young Adult Oncology, 6//(2), 307-317. https://doi.org/10.1089/jayao.2016.0070
Victorson, D., Hankin, V., Burns, J., Weiland, R., Maletich, C., Sufrin, N., ... & Brendler, C. (2017). Feasibility, acceptability and preliminary psychological benefits of mindfulness meditation training in a sample of men diagnosed with prostate cancer on active surveillance: Results from a randomized controlled pilot trial. //Psycho-Oncology, 26//(8), 1155-1163. https://doi.org/10.1002/pon.4135
Witek-Janusek, L., Albuquerque, K., Chroniak, K.R., Chroniak, C., Durazo-Arvizu, R., & Mathews, H.L. (2008). Effect of mindfulness based stress reduction on immune function, quality of life and coping in women newly diagnosed with early stage breast cancer. //Brain Behavior and Immunity, 22(6)//, 969-981. https://doi.org/10.1016/j.bbi.2008.01.012
Wolvers, M.D.J., Bruggeman-Everts, F.Z., Van der Lee, M.L., Van de Schoot, R., & Vollenbroek-Hutten, M.M.R. (2015). Effectiveness, mediators, and effect predictors of internet interventions for chronic cancer-related fatigue: The design and an analysis plan of a 3-armed randomized controlled trial. //JMIR Research Protocols, 4//(2), e77. https://doi.org/10.2196/resprot.4363
Wood, A.W., Gonzalez, J., & Barden, S.M. (2015). Mindful caring: Using mindfulness-based cognitive therapy with caregivers of cancer survivors. //Journal of Psychosocial Oncology, 33//(1), 66-84. https://doi.org/10.1080/07347332.2014.977418
Wurtzen, H., Dalton, S.O., Andersen, K.K., Elsass, P., Flyger, H.L., Sumbundu, A., ... & Johansen, C. (2013). Who participates in a randomized trial of mindfulness-based stress reduction (MBSR) after breast cancer? A study of factors associated with enrollment among Danish breast cancer patients. //Psycho-Oncology, 22//(5), 1180-1185. https://doi.org/10.1002/pon.3094
Wurtzen, H., Dalton, S.O., Christensen, J., Andersen, K.K., Elsass, P., Flyger, H.L., ... & Johansen, C. (2015). Effect of mindfulness-based stress reduction on somatic symptoms, distress, mindfulness and spiritual wellbeing in women with breast cancer: Results of a randomized controlled trial. //Acta Oncologica, 54//(5), 712-719. https://doi.org/10.3109/0284186X.2014.997371
Wurtzen, H., Dalton, S.O., Elsass, P., Sumbundu, A.D., Steding-Jensen, M., Karlsen, R.V., ... & Johansen, C. (2013). Mindfulness significantly reduces self-reported levels of anxiety and depression: Results of a randomised controlled trial among 336 danish women treated for stage i-iii breast cancer. //European Journal of Cancer, 49//(6), 1365-1373. https://doi.org/10.1016/j.ejca.2012.10.030
Zernicke, K.A., Campbell, T.S., Speca, M., McCabe-Ruff, K., Flowers, S., & Carlson, L.E. (2014). A randomized wait-list controlled trial of feasibility and efficacy of an online mindfulness-based cancer recovery program: The etherapy for cancer applying mindfulness trial. //Psychosomatic Medicine, 76//(4), 257-267. https://doi.org/10.1097/PSY.0000000000000053
Zernicke, K.A., Campbell, T.S., Speca, M., McCabe-Ruff, K., Flowers, S., Dirkse, D.A., ... & Carlson, L.E. (2013). The eCALM Trial-eTherapy for cancer appLying mindfulness: Online mindfulness-based cancer recovery program for underserved individuals living with cancer in Alberta: Protocol development for a randomized wait-list controlled clinical trial. //BMC Complementary and Alternative Medicine, 13//, 34. https://doi.org/10.1186/1472-6882-13-34
Zernicke, K.A., Campbell, T.S., Speca, M., Ruff, K.M., Flowers, S., Tamagawa, R., ... & Carlson, L.E. (2016). The eCALM trial: eTherapy for cancer applying mindfulness. Exploratory analyses of the associations between online mindfulness-based cancer recovery participation and changes in mood, stress symptoms, mindfulness, posttraumatic growth, and spirituality. //Mindfulness, 7//(5), 1071-1081. https://doi.org/10.1007/s12671-016-0545-5
Zhang, J.Y., Zhou, Y.Q., Feng, Z.W., Fan, Y.N., & Zeng, G.C. (2017). Randomized controlled trial of mindfulness-based stress reduction (MBSR) on posttraumatic growth of Chinese breast cancer survivors. //Psychology Health & Medicine, 22//(1), 94-109. https://doi.org/10.1080/13548506.2016.1146405
Burton, N.W., Pakenham, K.I., & Brown, W.J. (2009). Evaluating the effectiveness of psychosocial resilience training for heart health, and the added value of promoting physical activity: A cluster randomized trial of the ready program. //BMC Public Health, 9//, 427. https://doi.org/10.1186/1471-2458-9-427
Griffiths, K., Camic, P.M., & Hutton, J.M. (2009). Participant experiences of a mindfulness-based cognitive therapy group for cardiac rehabilitation. //Journal of Health Psychology, 14//(5), 675-681. https://doi.org/10.1177/1359105309104911
Kiran, U., Ladha, S., Makhija, N., Kapoor, P.M., Choudhury, M., Das, S., ... & Airan, B. (2017). The role of Rajyoga meditation for modulation of anxiety and serum cortisol in patients undergoing coronary artery bypass surgery: A prospective randomized control study. //Annals of Cardiac Anaesthesia, 20//(2), 158-162. https://doi.org/10.4103/aca.ACA_32_17
Lee, J., Song, Y., Lindquist, R., Yoo, Y., Park, E., Lim, S., ... & Mathiason, M.A. (2017). Nontraditional cardiac rehabilitation in Korean patients with coronary artery disease. //Rehabilitation Nursing, 42//(4), 191-198. https://doi.org/10.1002/rnj.268
Salmoirago-Blotcher, E., Wayne, P., Bock, B.C., Dunsiger, S., Wu, W.C., Stabile, L., ... & Yeh, G. (2015). Design and methods of the gentle cardiac rehabilitation study - A behavioral study of Tai Chi exercise for patients not attending cardiac rehabilitation. //Contemporary Clinical Trials, 43//, 243-251. https://doi.org/10.1016/j.cct.2015.06.020
Bajaj, J.S., Ellwood, M., Ainger, T., Burroughs, T., Fagan, A., Gavis, E.A., ... & Wade, J.B. (2017). Mindfulness-based stress reduction therapy improves patient and caregiver-reported outcomes in cirrhosis. //Clinical and Translational Gastroenterology, 8//. https://doi.org/10.1038/ctg.2017.38
Brown, K.W., Coogle, C.L., & Wegelin, J. (2016). A pilot randomized controlled trial of mindfulness-based stress reduction for caregivers of family members with dementia. //Aging & Mental Health, 20//(11), 1157-1166. https://doi.org/10.1080/13607863.2015.1065790
Burnside, L.D., Knecht, M.J., Hopley, E.K., & Logsdon, R.G. (2017). //here:now// - Conceptual model of the impact of an experiential arts program on persons with dementia and their care partners. //Dementia: The International Journal of Social Research and Practice, 16//(1), 29-45. https://doi.org/10.1177/1471301215577220
Carletto, S., Borghi, M., Francone, D., Scavelli, F., Bertino, G., Cavallo, M., ... & Ostacoli, L. (2016). The efficacy of a mindfulness based intervention for depressive symptoms in patients with multiple sclerosis and their caregivers: Study protocol for a randomized controlled clinical trial. //BMC Neurology, 16//. https://doi.org/10.1186/s12883-016-0528-0
Cavalera, C., Pagnini, F., Rovaris, M., Mendozzi, L., Pugnetti, L., Garegnani, M., ... & Molinari, E. (2016). A telemedicine meditation intervention for people with multiple sclerosis and their caregivers: Study protocol for a randomized controlled trial. //Trials, 17//. https://doi.org/10.1186/s13063-015-1136-9
Dauenhauer, J.A. (2006). Mindfulness theory and professional family caregivers in long-term care facilities. //Journal of Aging Studies, 20//(4), 351-365. https://doi.org/10.1016/j.jaging.2005.11.003
Falb, M.D., & Pargament, K.I. (2013). Buddhist coping predicts psychological outcomes among end-of-life caregivers. //Psychology of Religion and Spirituality, 5//(4), 252-262. https://doi.org/10.1037/a0032653
Fonareva, I., Amen, A.M., Ellingson, R.M., & Oken, B.S. (2012). Differences in stress-related ratings between research center and home environments in dementia caregivers using ecological momentary assessment. //International Psychogeriatrics, 24//(1), 90-98. https://doi.org/10.1017/S1041610211001414
Ho, L., Bloom, P.A., Vega, J.G., Yemul, S., Zhao, W., Ward, L., ... & Pasinetti, G.M. (2016). Biomarkers of resilience in stress reduction for caregivers of Alzheimer's patients. //Neuromolecular Medicine, 18//(2), 177-189. https://doi.org/10.1007/s12017-016-8388-8
Hou, R.J., Wong, S.Y.S., Yip, B.H.K., Hung, A.T.F., Lo, H.H.M., Chan, P.H.S., ... & Ma, S.H. (2014). The effects of mindfulness-based stress reduction program on the mental health of family caregivers: A randomized controlled trial. //Psychotherapy and Psychosomatics, 83//(1), 45-53. https://doi.org/10.1159/000353278
Hurley, R.V.C., Patterson, T.G., & Cooley, S.J. (2014). Meditation-based interventions for family caregivers of people with dementia: A review of the empirical literature. //Aging & Mental Health, 18//(3), 281-288. https://doi.org/10.1080/13607863.2013.837145
Jain, F.A., Nazarian, N., & Lavretsky, H. (2014). Feasibility of central meditation and imagery therapy for dementia caregivers. //International Journal of Geriatric Psychiatry, 29//(8), 870-876. https://doi.org/10.1002/gps.4076
Jansen, J.E., Haahr, U.H., Lyse, H.G., Pedersen, M.B., Trauelsen, A.M., & Simonsen, E. (2017). Psychological flexibility as a buffer against caregiver distress in families with psychosis. //Frontiers in Psychology, 8//,1625. https://doi.org/10.3389/fpsyg.2017.01625
Kogler, M., Brandl, J., Brandstatter, M., Borasio, G.D., & Fegg, M.J. (2013). Determinants of the effect of existential behavioral therapy for bereaved partners: A qualitative study. //Journal of Palliative Medicine, 16//(11), 1410-1416. https://doi.org/10.1089/jpm.2013.0050
Kogler, M., Brandstatter, M., Borasio, G.D., Fensterer, V., Kuchenhoff, H., & Fegg, M.J. (2015). Mindfulness in informal caregivers of palliative patients. //Palliative & Supportive Care, 13//(1), 11-18. https://doi.org/10.1017/S1478951513000400
Lavretsky, H., Epel, E.S., Siddarth, P., Nazarian, N., St Cyr, N., Khalsa, D.S., ... & Irwin, M.R. (2013). A pilot study of yogic meditation for family dementia caregivers with depressive symptoms: Effects on mental health, cognition, and telomerase activity. //International Journal of Geriatric Psychiatry, 28//(1), 57-65. https://doi.org/10.1002/gps.3790
Linacre, S., Green, J., & Sharma, V. (2016). A pilot study with adaptations to the Maudsley Method approach on workshops for carers of people with eating disorders. //Mental Health Review Journal, 21//(4), 295-307. https://doi.org/10.1108/MHRJ-05-2016-0010
Lind, A.B., Delmar, C., & Nielsen, K. (2014). Searching for existential security: A prospective qualitative study on the influence of mindfulness therapy on experienced stress and coping strategies among patients with somatoform disorders. //Journal of Psychosomatic Research, 77//(6), 516-521. https://doi.org/10.1016/j.jpsychores.2014.07.015
Marconi, A., Gragnano, G., Lunetta, C., Gatto, R., Fabiani, V., Tagliaferri, A., ... & Pagnini, F. (2016). The experience of meditation for people with amyotrophic lateral sclerosis and their caregivers - a qualitative analysis. //Psychology Health & Medicine, 21//(6). https://doi.org/10.1080/13548506.2015.1115110
Marzuq, N., & Drach-Zahavy, A. (2012). Recovery during a short period of respite: The interactive roles of mindfulness and respite experiences. //Work and Stress, 26//(2), 175-194. https://doi.org/10.1080/02678373.2012.683574
Minor, H.G., Carlson, L.E., Mackenzie, M.J., Zernicke, K., & Jones, L. (2006). Evaluation of a mindfulness-based stress reduction (MBSR) program for caregivers of children with chronic, conditions. //Social Work in health care, 43//(1), 91-109. https://doi.org/10.1300/J010v43n01_06
Oken, B.S., Fonareva, I., & Wahbeh, H. (2011). Stress-related cognitive dysfunction in dementia caregivers. //Journal of Geriatric Psychiatry and Neurology, 24//(4), 191-198. https://doi.org/10.1177/0891988711422524
Oken, B.S., Fonareva, I., Haas, M., Wahbeh, H., Lane, J.B., Zajdel, D., ... & Amen, A. (2010). Pilot controlled trial of mindfulness meditation and education for dementia caregivers. //Journal of Alternative and Complementary Medicine, 16//(10), 1031-1038. https://doi.org/10.1089/acm.2009.0733
Pagnini, F., Phillips, D., Bosma, C.M., Reece, A., & Langer, E. (2015). Mindfulness, physical impairment and psychological well-being in people with amyotrophic lateral sclerosis. //Psychology & Health, 30//(5), 503-517. https://doi.org/10.1080/08870446.2014.982652
Pagnini, F., Phillips, D., Bosma, C.M., Reece, A., & Langer, E. (2016). Mindfulness as a protective factor for the burden of caregivers of amyotrophic lateral sclerosis patients. //Journal of Clinical Psychology, 72//(1), 101-111. https://doi.org/10.1002/jclp.22235
Pfaff, K.A., Freeman-Gibb, L., Patrick, L.J., DiBiase, R., & Moretti, O. (2017). Reducing the "cost of caring" in cancer care: Evaluation of a pilot interprofessional compassion fatigue resiliency programme. //Journal of Interprofessional Care, 31//(4), 512-519. https://doi.org/10.1080/13561820.2017.1309364
Ruiz-Robledillo, N., Sarinana-Gonzalez, P., Perez-Blasco, J., Gonzalez-Bono, E., & Moya-Albiol, L. (2015). A mindfulness-based program improves health in caregivers of people with autism spectrum disorder: A pilot study. //Mindfulness, 6//(4), 767-777. https://doi.org/10.1007/s12671-014-0316-0
Shaffer, K.M., Riklin, E., Jacobs, J.M., Rosand, J., & Vranceanu, A.M. (2016). Mindfulness and coping are inversely related to psychiatric symptoms in patients and informal caregivers in the neuroscience ICU: Implications for clinical care. //Critical Care Medicine, 44//(11), 2028-2036. https://doi.org/10.1097/CCM.0000000000001855
Shaffer, K.M., Riklin, E., Jacobs, J.M., Rosand, J., & Vranceanu, A.M. (2016). Psychosocial resiliency is associated with lower emotional distress among dyads of patients and their informal caregivers in the neuroscience intensive care unit. //Journal of Critical Care, 36//, 154-159. https://doi.org/10.1016/j.jcrc.2016.07.010
Singh, N.N., Lancioni, G.E., Karazsia, B.T., & Myers, R.E. (2016). Caregiver training in mindfulness-based positive behavior supports (MBPBS): Effects on caregivers and adults with intellectual and developmental disabilities. //Frontiers in Psychology, 7//,98. https://doi.org/10.3389/fpsyg.2016.00098
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Chan, J., & Winton, A.S.W. (2016). Effectiveness of caregiver training in mindfulness-based positive behavior support (MBPBS) vs. training-as-usual (TAU): A randomized controlled trial. //Frontiers in Psychology, 7//,1549. https://doi.org/10.3389/fpsyg.2016.01549
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Singh, A.N., Adkins, A.D., ... & Wahler, R.G. (2010). Training in mindful caregiving transfers to parent-child interactions. //Journal of Child and Family Studies, 19//(2), 167-174. https://doi.org/10.1007/s10826-009-9267-9
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Wahler, R.G., Singh, J., & Sage, M. (2004). Mindful caregiving increases happiness among individuals with profound multiple disabilities. //Research in Developmental Disabilities, 25//(2), 207-218. https://doi.org/10.1016/j.ridd.2003.05.001
Stockle, H.S., Haarmann-Doetkotte, S., Bausewein, C., & Fegg, M.J. (2016). The feasibility and acceptability of short-term, individual existential behavioural therapy for informal caregivers of patients recruited in a specialist palliative care unit. //BMC Palliative Care, 15//. https://doi.org/10.1186/s12904-016-0160-1
Stonnington, C.M., Darby, B., Santucci, A., Mulligan, P., Pathuis, P., Cuc, A., ... & Sood, A. (2016). A resilience intervention involving mindfulness training for transplant patients and their caregivers. //Clinical Transplantation, 30//(11), 1466-1472. https://doi.org/10.1111/ctr.12841
Waelde, L.C., Thompson, L., & Gallagher-Thompson, D. (2004). A pilot study of a yoga and meditation intervention for dementia caregiver stress. //Journal of Clinical Psychology, 60//(6), 677-687. https://doi.org/10.1002/jclp.10259
Whitebird, R.R., Kreitzer, M., Crain, A.L., Lewis, B.A., Hanson, L.R., & Enstad, C.J. (2013). Mindfulness-based stress reduction for family caregivers: A randomized controlled trial. //Gerontologist, 53//(4), 676-686. https://doi.org/10.1093/geront/gns126
Whitebird, R.R., Kreitzer, M.J., Lewis, B.A., Hanson, L.R., Crain, A.L., Enstad, C.J., ... & Mehta, A. (2011). Recruiting and retaining family caregivers to a randomized controlled trial on mindfulness-based stress reduction. //Contemporary Clinical Trials, 32//(5), 654-661. https://doi.org/10.1016/j.cct.2011.05.002
Wood, A.W., Gonzalez, J., & Barden, S.M. (2015). Mindful caring: Using mindfulness-based cognitive therapy with caregivers of cancer survivors. //Journal of Psychosocial Oncology, 33//(1), 66-84. https://doi.org/10.1080/07347332.2014.977418
Lee, S., Kim, M.W., McDonough, I.M., Mendoza, J.S., & Kim, M.S. (2017). The effects of cell phone use and emotion-regulation style on college students' learning. //Applied Cognitive Psychology, 31//(3), 360-366. https://doi.org/10.1002/acp.3323
Miller, M.M., & Brannon, L.A. (2017). Testing mindfulness-based acceptance against implementation intentions to discourage counterintentional cell phone use. //Mindfulness, 8//(5), 1212-1224. https://doi.org/10.1007/s12671-017-0694-1
Terry, C.P., & Terry, D.L. (2015). Cell phone-related near accidents among young drivers: Associations with mindfulness. //Journal of Psychology, 149//(7), 665-683. https://doi.org/10.1080/00223980.2014.964166
Byrne, J., Hauck, Y., Fisher, C., Bayes, S., & Schutze, R. (2014). Effectiveness of a mindfulness-based childbirth education pilot study on maternal self-efficacy and fear of childbirth. //Journal of Midwifery & Women’s Health, 59//(2), 192-197. https://doi.org/10.1111/jmwh.12075
Duncan, L.G., & Bardacke, N. (2010). Mindfulness-based childbirth and parenting education: Promoting family mindfulness during the perinatal period. //Journal of Child and Family Studies, 19//(2), 190-202. https://doi.org/10.1007/s10826-009-9313-7
Duncan, L.G., Cohn, M.A., Chao, M.T., Cook, J.G., Riccobono, J., & Bardacke, N. (2017). Benefits of preparing for childbirth with mindfulness training: A randomized controlled trial with active comparison. //BMC Pregnancy and Childbirth, 17//, 140. https://doi.org/10.1186/s12884-017-1319-3
Fisher, C., Hauck, Y., Bayes, S., & Byrne, J. (2012). Participant experiences of mindfulness-based childbirth education: A qualitative study. //BMC Pregnancy and Childbirth, 12//, 126. https://doi.org/10.1186/1471-2393-12-126
Saxbe, D.E. (2017). Birth of a new perspective? A call for biopsychosocial research on childbirth. //Current Directions in Psychological Science, 26//(1), 81-86. https://doi.org/10.1177/0963721416677096
Saxton, A., Fahy, K., & Hastie, C. (2016). Pronurturance Plus at birth: A risk reduction strategy for preventing postpartum haemorrhage. //Women and Birth, 29//(3), 279-284. https://doi.org/10.1016/j.wombi.2015.11.007
Veringa, I.K., de Bruin, E.I., Bardacke, N., Duncan, L.G., van Steensel, F.J.A., Dirksen, C.D., ... & Bogels, S.M. (2016). 'I've changed my mind', mindfulness-based childbirth and parenting (MBCP) for pregnant women with a high level of fear of childbirth and their partners: Study protocol of the quasi-experimental controlled trial. //BMC Psychiatry, 16//, 377. https://doi.org/10.1186/s12888-016-1070-8
Werner, A., Uldbjerg, N., Zachariae, R., & Nohr, E.A. (2013). Effect of self-hypnosis on duration of labor and maternal and neonatal outcomes: A randomized controlled trial. //Acta Obstetricia Et Gynecologica Scandinavica, 92//(7), 816-823. https://doi.org/10.1111/aogs.12141
Werner, A., Uldbjerg, N., Zachariae, R., Wu, C.S., & Nohr, E.A. (2013). Antenatal hypnosis training and childbirth experience: A randomized controlled trial. //Birth-issues in Perinatal Care, 40//(4), 272-280. https://doi.org/10.1111/birt.12071
Bethell, C., Gombojav, N., Solloway, M., & Wissow, L. (2016). Adverse childhood experiences, resilience and mindfulness-based approaches common denominator issues for children with emotional, mental, or behavioral problems. //Child and Adolescent Psychiatric Clinics of North America, 25//(2), 139-156. https://doi.org/10.1016/j.chc.2015.12.001
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Elices, M., Pascual, J.C., Carmona, C., Martin-Blanco, A., Feliu-Soler, A., Ruiz, E., ... & Soler, J. (2015). Exploring the relation between childhood trauma, temperamental traits and mindfulness in borderline personality disorder. //BMC Psychiatry, 15//, 180. https://doi.org/10.1186/s12888-015-0573-z
Langmuir, J.I., Kirsh, S.G., & Classen, C.C. (2012). A pilot study of body-oriented group psychotherapy: Adapting sensorimotor psychotherapy for the group treatment of trauma. //Psychological Trauma: Theory, Research, Practice and Policy, 4//(2), 214-220. https://doi.org/10.1037/a0025588
Lord, S.A. (2013). Meditative dialogue: Cultivating compassion and empathy with survivors of complex childhood trauma. //Journal of Aggression Maltreatment & Trauma, 22//(9), 997-1014. https://doi.org/10.1080/10926771.2013.834018
Michal, M., Beutel, M.E., Jordan, J., Zimmermann, M., Wolters, S., & Heidenreich, T. (2007). Depersonalization, mindfulness, and childhood trauma. //Journal of Nervous and Mental Disease, 195//(8), 693-696. https://doi.org/10.1097/NMD.0b013e3181f4492
Perona-Garcelan, S., Garcia-Montes, J.M., Rodriguez-Testal, J.F., Lopez-Jimenez, A.M., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Benitez-Hernandez, M.D. (2014). Relationship between childhood trauma, mindfulness, and dissociation in subjects with and without hallucination proneness. //Journal of Trauma & Dissociation, 15//(1), 35-51. https://doi.org/10.1080/15299732.2013.821433
Whitaker, R.C., Dearth-Wesley, T., Gooze, R.A., Becker, B.D., Gallagher, K.C., & McEwen, B.S. (2014). Adverse childhood experiences, dispositional mindfulness, and adult health. //Preventive Medicine, 67//, 147-153. https://doi.org/10.1016/j.ypmed.2014.07.029
Chan, H.L., Lo, L.Y., Lin, M., & Thompson, N. (2016). Revalidation of the Cognitive and Affective Mindfulness Scale — Revised (CAMS-R) with its newly developed Chinese version (Ch-CAMS-R). //Journal of Pacific Rim Psychology, 10//. https://doi.org/10.1017/prp.2015.4
Chang, D.F., Hung, T., Ng, N., Ling, A., Chen, T., Cao, Y.P., ... & Zhang, Y.L. (2016). Taoist cognitive therapy: Treatment of generalized anxiety disorder in a Chinese immigrant woman. //Asian American Journal of Psychology, 7//(3), 205-216. https://doi.org/10.1037/aap0000052
Chen, S.Y., & Zhou, R.L. (2014). Validation of a Chinese version of the Freiburg Mindfulness Inventory-short version. //Mindfulness, 5//(5), 529-535. https://doi.org/10.1007/s12671-013-0208-8
Chien, W.T., & Lee, I.Y.M. (2013). The mindfulness-based psychoeducation program for Chinese patients with schizophrenia. //Psychiatric Services, 64//(4), 376-379. https://doi.org/10.1176/appi.ps.002092012
Deng, Y.Q., Li, S., Tang, Y.Y., Zhu, L.H., Ryan, R., & Brown, K. (2012). Psychometric properties of the Chinese translation of the mindful attention awareness scale (MAAS). //Mindfulness, 3//(1), 10-14. https://doi.org/10.1007/s12671-011-0074-1
Ditrich, T. (2016). Buddhism between Asia and Europe: The concept of mindfulness through a historical lens. //Asian Studies-azijske Studije, 4//(1), 197-213. https://doi.org/10.4312/as.2016.4.1.197-213
Draeger-Muenke, R. (2015). Functional abdominal pain: "Get" the function, loose the pain. //American Journal of Clinical Hypnosis, 58//(1), 34-62. https://doi.org/10.1080/00029157.2015.1031208
Hou, J., Wong, S.Y.S., Lo, H.H.M., Mak, W.W.S., & Ma, H.S.W. (2014). Validation of a Chinese version of the Five Facet Mindfulness Questionnaire in Hong Kong and development of a short form. //Assessment, 21//(3), 363-371. https://doi.org/10.1177/1073191113485121
Kahn, J.H., Wei, M.F., Su, J.C., Han, S.J., & Strojewska, A. (2017). Distress disclosure and psychological functioning among Taiwanese nationals and European Americans: The moderating roles of mindfulness and nationality. //Journal of Counseling Psychology, 64//(3), 292-301. https://doi.org/10.1037/cou0000202
Liu, S., Qiu, G., & Louie, W. (2017). Use of mindfulness sitting meditation in Chinese American women in treatment of cancer. //Integrative Cancer Therapies, 16//(1), 110-117. https://doi.org/10.1177/1534735416649661
Lo, H.H.M., Ng, S.M., Chan, C.L.W., Lam, K.F., & Lau, B.H.P. (2013). The Chinese medicine construct "stagnation" in mind-body connection mediates the effects of mindfulness training on depression and anxiety. //Complementary Therapies in Medicine, 21//(4), 348-357. https://doi.org/10.1016/j.ctim.2013.05.008
Loo, J.M.Y., Tsai, J.S., Raylu, N., & Oei, T.P.S. (2014). Gratitude, hope, mindfulness and personal-growth initiative: Buffers or risk factors for problem gambling?. //PLOS ONE, 9//(2), e83889. https://doi.org/10.1371/journal.pone.0083889
Tan, J.F., Lo, P.C., Ge, N., & Chu, C.J. (2016). Self-esteem mediates the relationship between mindfulness and social anxiety among chinese undergraduate students. //Social Behavior and Personality, 44//(8), 1297-1304. https://doi.org/10.2224/sbp.2016.44.8.1297
Tiwari, A., Chan, C.L.W., Ho, R.T.H., Tsao, G.S.W., Deng, W., Hong, A.W.L., ... & Ma, J.L.C. (2014). Effect of a qigong intervention program on telomerase activity and psychological stress in abused Chinese women: A randomized, wait-list controlled trial. //BMC Complementary and Alternative Medicine, 14//, 300. https://doi.org/10.1186/1472-6882-14-300
Wong, A.W.S., & Chen, E.Y.H. (2015). Psychometric properties of translated outcome measures of cognitive behavioural therapy for psychosis in the Chinese context. //Asian Journal of Psychiatry, 13//, 62-65. https://doi.org/10.1016/j.ajp.2014.09.005
Wong, S.Y.S., Mak, W.W.S., Cheung, E.Y.L., Ling, C.Y.M., Lui, W.W.S., Tang, W.K., ... & Ma, H.S.W. (2011). A randomized, controlled clinical trial: The effect of mindfulness-based cognitive therapy on generalized anxiety disorder among Chinese community patients: Protocol for a randomized trial. //BMC Psychiatry, 11//, 187. https://doi.org/10.1186/1471-244X-11-187
Yang, K.P., & Wu, X.J. (2009). Spiritual intelligence of nurses in two Chinese social systems: A cross-sectional comparison study. //Journal of Nursing Research, 17//(3), 189-198. https://doi.org/10.1097/JNR.0b013e3181b2556c
Zeng, X.L., Li, M.D., Zhang, B., & Liu, X.P. (2015). Revision of the Philadelphia Mindfulness Scale for measuring awareness and equanimity in Goenka’s vipassana meditation with Chinese buddhists. //Journal of Religion & Health, 54//(2), 623-637. https://doi.org/10.1007/s10943-014-9870-y
Zhang, C.Q., Chung, P.K., Si, G.Y., & Liu, J.D. (2014). Psychometric properties of the Acceptance and Action Questionnaire-II for Chinese college students and elite Chinese athletes. //Measurement and Evaluation in Counseling and Development, 47//(4), 256-270. https://doi.org/10.1177/0748175614538064
Zhang, J.Y., Zhou, Y.Q., Feng, Z.W., Fan, Y.N., & Zeng, G.C. (2017). Randomized controlled trial of mindfulness-based stress reduction (MBSR) on posttraumatic growth of Chinese breast cancer survivors. //Psychology Health & Medicine, 22//(1), 94-109. https://doi.org/10.1080/13548506.2016.1146405
Arefnasab, Z., Babamahmoodi, A., Babamahmoodi, F., Noorbala, A.A., Alipour, A., Panahi, Y., ... & Ghanei, M. (2016). Mindfulness-based stress reduction (mbsr) and its effects on psychoimmunological factors of chemically pulmonary injured veterans. //Iranian Journal of Allergy Asthma and Immunology, 15//(6), 476-486.
Arefnasab, Z., Ghanei, M., Noorbala, A.A., Ali-Pour, A., Babamahmoodi, F., Babamahmoodi, A., ... & Salehi, M. (2013). Effect of mindfulness based stress reduction on quality of life (SF-36) and spirometry parameters, in chemically pulmonary injured veterans. //Iranian Journal of Public Health, 42//(9), 1026-1033.
Benzo, R.P. (2013). Mindfulness and motivational interviewing: Two candidate methods for promoting self-management. //Chronic Respiratory Disease, 10//(3), 175-182. https://doi.org/10.1177/1479972313497372
Chan, R.R., & Lehto, R.H. (2016). The experience of learning meditation and mind/body practices in the COPD population. //Explore: The Journal of Science and Healing, 12//(3), 171-179. https://doi.org/10.1016/j.explore.2016.02.004
Chan, R.R., Giardino, N., & Larson, J.L. (2015). A pilot study: Mindfulness meditation intervention in COPD. //International Journal of Chronic Obstructive Pulmonary Disease, 10//(1), 445-454. https://doi.org/10.2147/COPD.S73864
Donesky-Cuenco, D., Nguyen, H.Q., Paul, S., & Carrieri-Kohlman, V. (2009). Yoga therapy decreases dyspnea-related distress and improves functional performance in people with chronic obstructive pulmonary disease: A pilot study. //Journal of Alternative and Complementary Medicine, 15//(3), 225-234. https://doi.org/10.1089/acm.2008.0389
Farver-Vestergaard, I., Jacobsen, D., & Zachariae, R. (2015). Efficacy of psychosocial interventions on psychological and physical health outcomes in chronic obstructive pulmonary disease: A systematic review and meta-analysis. //Psychotherapy and Psychosomatics, 84//(1), 37-50. https://doi.org/10.1159/000367635
Harrison, S.L., Lee, A., Goldstein, R.S., & Brooks, D. (2017). Perspectives of healthcare professionals and patients on the application of mindfulness in individuals with chronic obstructive pulmonary disease. //Patient Education and Counseling, 100//(2), 337-342. https://doi.org/10.1016/j.pec.2016.08.018
Malpass, A., Kessler, D., Sharp, D., & Shaw, A. (2015). MBCT for patients with respiratory conditions who experience anxiety and depression: A qualitative study. //Mindfulness, 6//(5), 1181-1191. https://doi.org/10.1007/s12671-014-0370-7
Mularski, R.A., Munjas, B.A., Lorenz, K.A., Sun, S., Robertson, S.J., Schmelzer, W., ... & Shekelle, P.G. (2009). Randomized controlled trial of mindfulness-based therapy for dyspnea in chronic obstructive lung disease. //Journal of Alternative and Complementary Medicine, 15//(10), 1083-1090. https://doi.org/10.1089/acm.2009.0037
Volpato, E., Banfi, P., & Pagnini, F. (2017). A psychological intervention to promote acceptance and adherence to non-invasive ventilation in people with chronic obstructive pulmonary disease: Study protocol of a randomised controlled trial. //Trials, 18//, 59. https://doi.org/10.1186/s13063-017-1802-1
Caldwell, J.G., & Shaver, P.R. (2015). Promoting attachment-related mindfulness and compassion: A wait-list-controlled study of women who were mistreated during childhood. //Mindfulness, 6//(3), 624-636. https://doi.org/10.1007/s12671-014-0298-y
Hanley, A.W., & Garland, E.L. (2017). Clarity of mind: Structural equation modeling of associations between dispositional mindfulness, self-concept clarity and psychological well-being. //Personality and Individual Differences, 106//, 334-339. https://doi.org/10.1016/j.paid.2016.10.028
Lavender, J.M., Tull, M.T., DiLillo, D., Messman-Moore, T., & Gratz, K.L. (2017). Development and validation of a state-based measure of emotion dysregulation: The State Difficulties in Emotion Regulation Scale (S-DERS). //Assessment, 24//(2), 197-209. https://doi.org/10.1177/1073191115601218
Manjrekar, E., & Berenbaum, H. (2012). Exploring the utility of emotional awareness and negative affect in predicting body satisfaction and body distortion. //Body Image, 9//(4), 495-502. https://doi.org/10.1016/j.bodyim.2012.05.005
Tsur, N., Berkovitz, N., & Ginzburg, K. (2016). Body awareness, emotional clarity, and authentic behavior: The moderating role of mindfulness. //Journal of Happiness Studies, 17//(4), 1451-1472. https://doi.org/10.1007/s10902-015-9652-6
Gazelle, G., Liebschutz, J.M., & Riess, H. (2015). Physician burnout: Coaching a way out. //Journal of General Internal Medicine, 30//(4), 508-513. https://doi.org/10.1007/s11606-014-3144-y
Hudlicka, E. (2013). Virtual training and coaching of health behavior: Example from mindfulness meditation training. //Patient Education and Counseling, 92//(2), 160-166. https://doi.org/10.1016/j.pec.2013.05.007
Longshore, K., & Sachs, M. (2015). Mindfulness training for coaches: A mixed-method exploratory study. //Journal of Clinical Sport Psychology, 9//(2), 116-137. https://doi.org/10.1123/jcsp.2014-0038
Schneider, S., Kingsolver, K., & Rosdahl, J. (2014). Physician coaching to enhance well-being: A qualitative analysis of a pilot intervention. //Explore: The Journal of Science and Healing, 10//(6), 372-379. https://doi.org/10.1016/j.explore.2014.08.007
van Berkel, J., Boot, C.R.L., Proper, K.I., Bongers, P.M., & van der Beek, A.J. (2013). Process evaluation of a workplace health promotion intervention aimed at improving work engagement and energy balance. //Journal of Occupational and Environmental Medicine, 55//(1), 31-38. https://doi.org/10.1097/JOM.0b013e318269e5a6
Andersson, E., Ljotsson, B., Smit, F., Paxling, B., Hedman, E., Lindefors, N., ... & Ruck, C. (2011). Cost-effectiveness of internet-based cognitive behavior therapy for irritable bowel syndrome: Results from a randomized controlled trial. //BMC Public Health, 11//, 215. https://doi.org/10.1186/1471-2458-11-215
Arch, J.J., & Ayers, C.R. (2013). Which treatment worked better for whom? Moderators of group cognitive behavioral therapy versus adapted mindfulness based stress reduction for anxiety disorders. //Behaviour Research and Therapy, 51//(8), 434-442. https://doi.org/10.1016/j.brat.2013.04.004
Arch, J.J., Ayers, C.R., Baker, A., Almklov, E., Dean, D.J., & Craske, M.G. (2013). Randomized clinical trial of adapted mindfulness-based stress reduction versus group cognitive behavioral therapy for heterogeneous anxiety disorders. //Behaviour Research and Therapy, 51//(42830), 185-196. https://doi.org/10.1016/j.brat.2013.01.003
Bahrani, S., Zargar, F., Yousefipour, G., & Akbari, H. (2017). The effectiveness of mindfulness-integrated cognitive behavior therapy on depression, anxiety, and stress in females with multiple sclerosis: A single blind randomized controlled trial. //Iranian Red Crescent Medical Journal, 19//(4). https://doi.org/10.5812/ircmj.44566
Bandelow, B., Reitt, M., Rover, C., Michaelis, S., Gorlich, Y., & Wedekind, D. (2015). Efficacy of treatments for anxiety disorders: A meta-analysis. //International Clinical Psychopharmacology, 30//(4), 183-192. https://doi.org/10.1097/YIC.0000000000000078
Boersma, K., Ljotsson, B., Edebol-Carlman, H., Schrooten, M., Linton, S.J., & Brummer, R.J. (2016). Exposure-based cognitive behavioral therapy for irritable bowel syndrome. A single-case experimental design across 13 subjects. //Cognitive Behaviour Therapy, 45//(6), 415-430. https://doi.org/10.1080/16506073.2016.1194455
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Cook, A.J., Anderson, M.L., Hawkes, R.J., ... & Turner, J.A. (2016). Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain a randomized clinical trial. //JAMA: Journal of the American Medical Association, 315//(12), 1240-1249. https://doi.org/10.1001/jama.2016.2323
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Turner, J.A., Cook, A.J., Stoelb, B., ... & Hawkes, R.J. (2014). Comparison of complementary and alternative medicine with conventional mind-body therapies for chronic back pain: Protocol for the mind-body approaches to pain (MAP) randomized controlled trial. //Trials, 15//, 211. https://doi.org/10.1186/1745-6215-15-211
Cowdrey, F.A., & Walz, L. (2015). Exposure therapy for fear of spiders in an adult with learning disabilities: A case report. //British Journal of Learning Disabilities, 43//(1), 75-82. https://doi.org/10.1111/bld.12106
Crowe, K., & McKay, D. (2016). Mindfulness, obsessive-compulsive symptoms, and executive dysfunction. //Cognitive Therapy and Research, 40//(5), 627-644. https://doi.org/10.1007/s10608-016-9777-x
Durrant, C., Clarke, I., Tolland, A., & Wilson, H. (2007). Designing a CBT service for an acute inpatient setting: A pilot evaluation study. //Clinical Psychology & Psychotherapy, 14//(2), 117-125. https://doi.org/10.1002/cpp.516
Garland, E.L., Roberts-Lewis, A., Tronnier, C.D., Graves, R., & Kelley, K. (2016). Mindfulness-oriented recovery enhancement versus CBT for co-occurring substance dependence, traumatic stress, and psychiatric disorders: Proximal outcomes from a pragmatic randomized trial. //Behaviour Research and Therapy, 77//, 7-16. https://doi.org/10.1016/j.brat.2015.11.012
Gaudiano, B.A., & Herbert, J.D. (2006). Acute treatment of inpatients with psychotic symptoms using acceptance and commitment therapy: Pilot results. //Behaviour Research and Therapy, 44//(3), 415-437. https://doi.org/10.1016/j.brat.2005.02.007
Hamilton, K.E., Wershler, J.L., Macrodimitris, S.D., Backs-Dermott, B.J., Ching, L.E., & Mothersill, K.J. (2012). Exploring the effectiveness of a mixed-diagnosis group cognitive behavioral therapy intervention across diverse populations. //Cognitive and Behavioral Practice, 19//(3), 472-482. https://doi.org/10.1016/j.cbpra.2011.12.002
Hansen, A.L., Kvale, G., Stubhaug, B., & Thayer, J.F. (2013). Heart rate variability and fatigue in patients with chronic fatigue syndrome after a comprehensive cognitive behavior group therapy program. //Journal of Psychophysiology, 27//(2), 67-75. https://doi.org/10.1027/0269-8803/a000088
Hedman, E., Hesser, H., Andersson, E., Axelsson, E., & Ljotsson, B. (2017). The mediating effect of mindful non-reactivity in exposure-based cognitive behavior therapy for severe health anxiety. //Journal of Anxiety Disorders, 50//, 15-22. https://doi.org/10.1016/j.janxdis.2017.04.007
Hertenstein, E., Rose, N., Voderholzer, U., Heidenreich, T., Nissen, C., Thiel, N., ... & Kulz, A.K. (2012). Mindfulness-based cognitive therapy in obsessive-compulsive disorder - a qualitative study on patients' experiences. //BMC Psychiatry, 12//, 185. https://doi.org/10.1186/1471-244X-12-185
Hesser, H., Gustafsson, T., Lunden, C., Henrikson, O., Fattahi, K., Johnsson, E., ... & Andersson, G. (2012). A randomized controlled trial of internet-delivered cognitive behavior therapy and acceptance and commitment therapy in the treatment of tinnitus. //Journal of Consulting and Clinical Psychology, 80//(4), 649-661. https://doi.org/10.1037/a0027021
Hodge, D.R., & Lietz, C.A. (2014). Using spiritually modified cognitive-behavioral therapy in substance dependence treatment: Therapists' and clients' perceptions of the presumed benefits and limitations. //Health & Social Work, 39//(4), 200-210. https://doi.org/10.1093/hsw/hlu022
Hofmann, S.G., Sawyer, A.T., & Fang, A. (2010). The empirical status of the "new wave" of cognitive behavioral therapy. //Psychiatric Clinics of North America, 33//(3), 701-710. https://doi.org/10.1016/j.psc.2010.04.006
Hutton, P., Morrison, A.P., & Taylor, H. (2012). Brief cognitive behavioural therapy for hallucinations: Can it help people who decide not to take antipsychotic medication? A case report. //Behavioural and Cognitive Psychotherapy, 40//(1), 111-116. https://doi.org/10.1017/S135246581100035X
Igna, R., Stefan, S., Onac, I., Onac, I., Ungur, R.A., & Szentagotai Tatar, A. (2014). Mindfulness-based cognitive-behavior therapy (MCBT) versus virtual reality (VR) enhanced CBT, versus treatment as usual for chronic back pain. A clinical trial. //Journal of Evidence-based Psychotherapies, 14//(2), 229-247.
Jacobson, N.C., Newman, M.G., & Goldfried, M.R. (2016). Clinical feedback about empirically supported treatments for obsessive-compulsive disorder. //Behavior Therapy, 47//(1), 75-90. https://doi.org/10.1016/j.beth.2015.09.003
Jalal, B., Samir, S.W., & Hinton, D.E. (2017). Adaptation of CBT for traumatized Egyptians: Examples from culturally adapted CBT (CA-CBT). //Cognitive and Behavioral Practice, 24//(1), 58-71. https://doi.org/10.1016/j.cbpra.2016.03.001
Jazaieri, H., Goldin, P.R., & Gross, J.J. (2017). Treating social anxiety disorder with CBT: Impact on emotion regulation and satisfaction with life. //Cognitive Therapy and Research, 41//(3), 406-416. https://doi.org/10.1007/s10608-016-9762-4
Key, B.L., Rowa, K., Bieling, P., McCabe, R., & Pawluk, E.J. (2017). Mindfulness-based cognitive therapy as an augmentation treatment for obsessive-compulsive disorder. //Clinical Psychology & Psychotherapy, 24//(5), 1109-1120. https://doi.org/10.1002/cpp.2076
Khalsa, M.K., Greiner-Ferris, J.M., Hofmann, S.G., & Khalsa, S.B.S. (2015). Yoga-enhanced cognitive behavioural therapy (Y-CBT) for anxiety management: A pilot study. //Clinical Psychology & Psychotherapy, 22//(4), 364-371. https://doi.org/10.1002/cpp.1902
Kulz, A.K., Landmann, S., Cludius, B., Hottenrott, B., Rose, N., Heidenreich, T., ... & Moritz, S. (2014). Mindfulness-based cognitive therapy in obsessive-compulsive disorder: Protocol of a randomized controlled trial. //BMC Psychiatry, 14//, 314. https://doi.org/10.1186/s12888-014-0314-8
Kumar, A., Sharma, M.P., Narayanaswamy, J.C., Kandavel, T., & Reddy, Y.C.J. (2016). Efficacy of mindfulness-integrated cognitive behavior therapy in patients with predominant obsessions. //Indian Journal of Psychiatry, 58//(4), 366-371. https://doi.org/10.4103/0019-5545.196723
Lanza, P.V., Garcia, P.F., Lamelas, F.R., & Gonzalez-Menendez, A. (2014). Acceptance and commitment therapy versus cognitive behavioral therapy in the treatment of substance use disorder with incarcerated women. //Journal of Clinical Psychology, 70//(7), 644-657. https://doi.org/10.1002/jclp.22060
Longmore, R.J., & Worrell, M. (2007). Do we need to challenge thoughts in cognitive behavior therapy?. //Clinical Psychology Review, 27//(2), 173-187. https://doi.org/10.1016/j.cpr.2006.08.001
Ludvik, D., & Boschen, M.J. (2015). Cognitive restructuring and detached mindfulness: Comparative impact on a compulsive checking task. //Journal of Obsessive-compulsive and Related Disorders, 5//, 8-15. https://doi.org/10.1016/j.jocrd.2015.01.004
Lustyk, M.K.B., Gerrish, W.G., Shaver, S., & Keys, S.L. (2009). Cognitive-behavioral therapy for premenstrual syndrome and premenstrual dysphoric disorder: A systematic review. //Archives of Women’s Mental Health, 12//(2), 85-96. https://doi.org/10.1007/s00737-009-0052-y
Manicavasagar, V., Perich, T., & Parker, G. (2012). Cognitive predictors of change in cognitive behaviour therapy and mindfulness-based cognitive therapy for depression. //Behavioural and Cognitive Psychotherapy, 40//(2), 227-232. https://doi.org/10.1017/S1352465811000634
Manicavasgar, V., Parker, G., & Perich, T. (2011). Mindfulness-based cognitive therapy vs cognitive behaviour therapy as a treatment for non-melancholic depression. //Journal of Affective Disorders, 130//(1-2), 138-144. https://doi.org/10.1016/j.jad.2010.09.027
Marino, P., DePasquale, A., & Sirey, J.A. (2015). Cognitive behavior therapy with mindfulness and acceptance skills for the treatment of older adults. //Clinical Case Studies, 14//(4), 262-273. https://doi.org/10.1177/1534650114556147
McCracken, L.M., & Vowles, K.E. (2014). Acceptance and commitment therapy and mindfulness for chronic pain model, process, and progress. //American Psychologist, 69//(2), 178-187. https://doi.org/10.1037/a0035623
McIntosh, C.C., Crino, R.D., & O'Neill, K. (2016). Treating problem gambling samples with cognitive behavioural therapy and mindfulness-based interventions: A clinical trial. //Journal of Gambling Studies, 32//(4), 1305-1325. https://doi.org/10.1007/s10899-016-9602-1
Mohamadpour, S., Tajikzadeh, F., & Aflakseir, A. (2017). The efficacy of mindfulness-based cognitive therapy on self-efficacy and anxiety among epileptic patients. //Archives of Neuroscience, 4//(2), e39060. https://doi.org/10.5812/archneurosci.39060
Morgan, J.R., Price, M., Schmertz, S.K., Johnson, S.B., Masuda, A., Calamaras, M., ... & Anderson, P.L. (2014). Cognitive processes as mediators of the relation between mindfulness and change in social anxiety symptoms following cognitive behavioral treatment. //Anxiety Stress and Coping, 27//(3), 288-302. https://doi.org/10.1080/10615806.2013.839988
Omidi, A., Mohammadkhani, P., Mohammadi, A., & Zargar, F. (2013). Comparing mindfulness based cognitive therapy and traditional cognitive behavior therapy with treatments as usual on reduction of major depressive disorder symptoms. //Iranian Red Crescent Medical Journal, 15//(2), 142-146. https://doi.org/10.5812/ircmj.8018
Parikh, S.V., Segal, Z.V., Grigoriadis, S., Ravindran, A.V., Kennedy, S.H., Lam, R.W., ... & Patten, S.B. (2009). Canadian network for mood and anxiety treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. II. Psychotherapy alone or in combination with antidepressant medication. //Journal of Affective Disorders, 117//, S15-S25. https://doi.org/10.1016/j.jad.2009.06.042
Piet, J., Hougaard, E., Hecksher, M.S., & Rosenberg, N.K. (2010). A randomized pilot study of mindfulness-based cognitive therapy and group cognitive-behavioral therapy for young adults with social phobia. //Scandinavian Journal of Psychology, 51//(5), 403-410. https://doi.org/10.1111/j.1467-9450.2009.00801.x
Rimes, K.A., & Wingrove, J. (2013). Mindfulness-based cognitive therapy for people with chronic fatigue syndrome still experiencing excessive fatigue after cognitive behaviour therapy: A pilot randomized study. //Clinical Psychology & Psychotherapy, 20//(2), 107-117. https://doi.org/10.1002/cpp.793
Roche, L., Dawson, D.L., Moghaddam, N.G., Abey, A., & Gresswell, D.M. (2017). An acceptance and commitment therapy (ACT) intervention for chronic fatigue syndrome (CFS): A case series approach. //Journal of Contextual Behavioral Science, 6//(2), 178-186. https://doi.org/10.1016/j.jcbs.2017.04.007
Segal, Z.V., Teasdale, J.D., Williams, J.M., & Gemar, M.C. (2002). The mindfulness-based cognitive therapy adherence scale: Inter-rater reliability, adherence to protocol and treatment distinctiveness. //Clinical Psychology & Psychotherapy, 9//(2), 131-138. https://doi.org/10.1002/cpp.320
Sguazzin, C.M.G., Key, B.L., Rowa, K., Bieling, P.J., & McCabe, R.E. (2017). Mindfulness-based cognitive therapy for residual symptoms in obsessive-compulsive disorder: A qualitative analysis. //Mindfulness, 8//(1), 190-203. https://doi.org/10.1007/s12671-016-0592-y
Shirk, S.R., DePrince, A.P., Crisostomo, P.S., & Labus, J. (2014). Cognitive behavioral therapy for depressed adolescents exposed to interpersonal trauma: An initial effectiveness trial. //Psychotherapy, 51//(1), 167-179. https://doi.org/10.1037/a0034845
Sizoo, B.B., & Kuiper, E. (2017). Cognitive behavioural therapy and mindfulness based stress reduction may be equally effective in reducing anxiety and depression in adults with autism spectrum disorders. //Research in Developmental Disabilities, 64//, 47-55. https://doi.org/10.1016/j.ridd.2017.03.004
Snippe, E., Schroevers, M.J., Tovote, K., Sanderman, R., Emmelkamp, P.M.G., & Fleer, J. (2015). Patients' outcome expectations matter in psychological interventions for patients with diabetes and comorbid depressive symptoms. //Cognitive Therapy and Research, 39//(3), 307-317. https://doi.org/10.1007/s10608-014-9667-z
Sorensen, P., Birket-Smith, M., Wattar, U., Buemann, I., & Salkovskis, P. (2011). A randomized clinical trial of cognitive behavioural therapy versus short-term psychodynamic psychotherapy versus no intervention for patients with hypochondriasis. //Psychological Medicine, 41//(2), 431-441. https://doi.org/10.1017/S0033291710000292
Spain, D., Sin, J., Chalder, T., Murphy, D., & Happe, F. (2015). Cognitive behaviour therapy for adults with autism spectrum disorders and psychiatric co-morbidity: A review. //Research in Autism Spectrum Disorders, 9//, 151-162. https://doi.org/10.1016/j.rasd.2014.10.019
Stasiewicz, P.R., Bradizza, C.M., Schlauch, R.C., Coffey, S.F., Gulliver, S.B., Gudleski, G.D., ... & Bole, C.W. (2013). Affect regulation training (ART) for alcohol use disorders: Development of a novel intervention for negative affect drinkers. //Journal of Substance Abuse Treatment, 45//(5), 433-443. https://doi.org/10.1016/j.jsat.2013.05.012
Strauss, C., Rosten, C., Hayward, M., Lea, L., Forrester, E., & Jones, A.M. (2015). Mindfulness-based exposure and response prevention for obsessive compulsive disorder: Study protocol for a pilot randomised controlled trial. //Trials, 16//, 167. https://doi.org/10.1186/s13063-015-0664-7
Tai, S., & Turkington, D. (2009). The evolution of cognitive behavior therapy for schizophrenia: Current practice and recent developments. //Schizophrenia Bulletin, 35//(5), 865-873. https://doi.org/10.1093/schbul/sbp080
Totterdell, P., Kellett, S., & Mansell, W. (2012). Cognitive behavioural therapy for cyclothymia: Cognitive regulatory control as a mediator of mood change. //Behavioural and Cognitive Psychotherapy, 40//(4), 412-424. https://doi.org/10.1017/S1352465812000070
Tovote, K.A., Fleer, J., Snippe, E., Peeters, A.C.T.M., Emmelkamp, P.M.G., Sanderman, R., ... & Schroevers, M.J. (2014). Individual mindfulness-based cognitive therapy and cognitive behavior therapy for treating depressive symptoms in patients with diabetes: Results of a randomized controlled trial. //Diabetes Care, 37//(9), 2427-2434. https://doi.org/10.2337/dc13-2918
Tovote, K.A., Schroevers, M.J., Snippe, E., Emmelkamp, P.M.G., Links, T.P., Sanderman, R., ... & Fleer, J. (2017). What works best for whom? Cognitive behavior therapy and mindfulness-based cognitive therapy for depressive symptoms in patients with diabetes. //PLOS ONE, 12//(6), e0179941. https://doi.org/10.1371/journal.pone.0179941
Turner, J.A., Anderson, M.L., Balderson, B.H., Cook, A.J., Sherman, K.J., & Cherkin, D.C. (2016). Mindfulness-based stress reduction and cognitive behavioral therapy for chronic low back pain: Similar effects on mindfulness, catastrophizing, self-efficacy, and acceptance in a randomized controlled trial. //Pain, 157//(11), 2434-2444. https://doi.org/10.1097/j.pain.0000000000000635
Vidrine, J.I., Spears, C.A., Heppner, W.L., Reitzel, L.R., Marcus, M.T., Cinciripini, P.M., ... & Wetter, D.W. (2016). Efficacy of mindfulness-based addiction treatment (MBAT) for smoking cessation and lapse recovery: A randomized clinical trial. //Journal of Consulting and Clinical Psychology, 84//(9), 824-838. https://doi.org/10.1037/ccp0000117
Wahl, K., Huelle, J.O., Zurowski, B., & Kordon, A. (2013). Managing obsessive thoughts during brief exposure: An experimental study comparing mindfulness-based strategies and distraction in obsessive-compulsive disorder. //Cognitive Therapy and Research, 37//(4), 752-761. https://doi.org/10.1007/s10608-012-9503-2
Waller, G., Stringer, H., & Meyer, C. (2012). What cognitive behavioral techniques do therapists report using when delivering cognitive behavioral therapy for the eating disorders?. //Journal of Consulting and Clinical Psychology, 80//(1), 171-175. https://doi.org/10.1037/a0026559
Wheelis, J. (2010). Mending the mind. //Psychoanalytic Dialogues, 20//(3), 325-336. https://doi.org/10.1080/10481885.2010.483958
Wilkinson-Tough, M., Bocci, L., Thorne, K., & Herlihy, J. (2010). Is mindfulness-based therapy an effective intervention for obsessive-intrusive thoughts: A case series. //Clinical Psychology & Psychotherapy, 17//(3), 250-268. https://doi.org/10.1002/cpp.665
Wong, M.Y., Ree, M.J., & Lee, C.W. (2016). Enhancing CBT for chronic insomnia: A randomised clinical trial of additive components of mindfulness or cognitive therapy. //Clinical Psychology & Psychotherapy, 23//(5), 377-385. https://doi.org/10.1002/cpp.1980
Costa, J.A., Maroco, J., & Pinto-Gouveia, J. (2017). Validation of the psychometric properties of cognitive fusion questionnaire. A study of the factorial validity and factorial invariance of the measure among osteoarticular disease, diabetes mellitus, obesity, depressive disorder, and general populations. //Clinical Psychology & Psychotherapy, 24//(5), 1121-1129. https://doi.org/10.1002/cpp.2077
Duff, H., Larsson, A., & McHugh, L. (2016). Evaluations of self-referential thoughts and their association with components of acceptance and commitment therapy. //Journal of Contextual Behavioral Science, 5//(1), 39-47. https://doi.org/10.1016/j.jcbs.2015.11.003
Gillanders, D.T., Bolderston, H., Bond, F.W., Dempster, M., Flaxman, P.E., Campbell, L., ... & Remington, B. (2014). The development and initial validation of the cognitive fusion questionnaire. //Behavior Therapy, 45//(1), 83-101.
Innes, K.E., Selfe, T.K., Khalsa, D.S., & Kandati, S. (2017). Meditation and music improve memory and cognitive function in adults with subjective cognitive decline: A pilot randomized controlled trial. //Journal of Alzheimer's Disease, 56//(3), 899-916. https://doi.org/10.3233/JAD-160867
Kim, B.O., & Cho, S. (2015). Psychometric properties of a Korean version of the Cognitive Fusion Questionnaire. //Social Behavior and Personality, 43//(10), 1715-1724. https://doi.org/10.2224/sbp.2015.43.10.1715
Levin, M.E., Luoma, J.B., Vilardaga, R., Lillis, J., Nobles, R., & Hayes, S.C. (2016). Examining the role of psychological inflexibility, perspective taking, and empathic concern in generalized prejudice. //Journal of Applied Social Psychology, 46//(3), 180-191. https://doi.org/10.1111/jasp.12355
Lucena-Santos, P., Carvalho, S., Pinto-Gouveia, J., Gillanders, D., & Oliveira, M.S. (2017). Cognitive fusion questionnaire: Exploring measurement invariance across three groups of Brazilian women and the role of cognitive fusion as a mediator in the relationship between rumination and depression. //Journal of Contextual Behavioral Science, 6//(1), 53-62. https://doi.org/10.1016/j.jcbs.2017.02.004
McCracken, L.M., DaSilva, P., Skillicorn, B., & Doherty, R. (2014). The Cognitive Fusion Questionnaire: A preliminary study of psychometric properties and prediction of functioning in chronic pain. //Clinical Journal of Pain, 30//(10), 894-901. https://doi.org/10.1097/AJP.0000000000000047
Muris, P., Meesters, C., Herings, A., Jansen, M., Vossen, C., & Kersten, P. (2017). Inflexible youngsters: Psychological and psychopathological correlates of the Avoidance and Fusion Questionnaire for youths in nonclinical Dutch adolescents. //Mindfulness, 8//(5), 1381-1392. https://doi.org/10.1007/s12671-017-0714-1
Plonsker, R., Biran, D.G., Zvielli, A., & Bernstein, A. (2017). Cognitive fusion and emotion differentiation: Does getting entangled with our thoughts dysregulate the generation, experience and regulation of emotion?. //Cognition & Emotion, 31//(6), 1286-1293. https://doi.org/10.1080/02699931.2016.1211993
Ruiz, F.J. (2014). The relationship between low levels of mindfulness skills and pathological worry: The mediating role of psychological inflexibility. //Anales de Psicologia, 30//(3), 887-897. https://doi.org/10.6018/analesps.30.3.150651
Ruiz, F.J., Odriozola-Gonzalez, P., & Suarez-Falcon, J.C. (2014). The Spanish version of the Believability of Anxious Feelings and Thoughts Questionnaire. //Psicothema, 26//(3), 308-313. https://doi.org/10.7334/psicothema2013.221
Ruiz, F.J., Suarez-Falcon, J.C., Riano-Hernandez, D., & Gillanders, D. (2017). Psychometric properties of the Cognitive Fusion Questionnaire in Colombia. //Revista Latinoamericana De Psicologia, 49//(1), 80-87. https://doi.org/10.1016/j.rlp.2016.09.006
Sole, E., Racine, M., Castarlenas, E., de la Vega, R., Tome-Pires, C., Jensen, M., ... & Miro, J. (2016). The psychometric properties of the Cognitive Fusion Questionnaire in adolescents. //European Journal of Psychological Assessment, 32//(3), 181-186. https://doi.org/10.1027/1015-5759/a000244
Trindade, I.A., & Ferreira, C. (2014). The impact of body image-related cognitive fusion on eating psychopathology. //Eating Behaviors, 15//(1), 72-75. https://doi.org/10.1016/j.eatbeh.2013.10.014
Ainsworth, B., Bolderston, H., & Garner, M. (2017). Testing the differential effects of acceptance and attention-based psychological interventions on intrusive thoughts and worry. //Behaviour Research and Therapy, 91//, 72-77. https://doi.org/10.1016/j.brat.2017.01.012
Berry, L.M., May, J., Andrade, J., & Kavanagh, D. (2010). Emotional and behavioral reaction to intrusive thoughts. //Assessment, 17//(1), 126-137. https://doi.org/10.1177/1073191109344694
Kavanagh, D.J., Andrade, J., & May, J. (2004). Beating the urge: Implications of research into substance-related desires. //Addictive Behaviors, 29//(7), 1359-1372. https://doi.org/10.1016/j.addbeh.2004.06.009
May, J., Andrade, J., Batey, H., Berry, L.M., & Kavanagh, D.J. (2010). Less food for thought. impact of attentional instructions on intrusive thoughts about snack foods. //Appetite, 55//(2), 279-287. https://doi.org/10.1016/j.appet.2010.06.014
McManus, F., Muse, K., Surawy, C., Hackmann, A., & Williams, J.M.G. (2015). Relating differently to intrusive images: The impact of mindfulness-based cognitive therapy (MBCT) on intrusive images in patients with severe health anxiety (Hypochondriasis). //Mindfulness, 6//(4), 788-796. https://doi.org/10.1007/s12671-014-0318-y
Moss, A.C., Erskine, J.A.K., Albery, I.P., Allen, J.R., & Georgiou, G.J. (2015). To suppress, or not to suppress? That is repression: Controlling intrusive thoughts in addictive behaviour. //Addictive Behaviors, 44//, 65-70. https://doi.org/10.1016/j.addbeh.2015.01.029
Shipherd, J.C., & Fordiani, J.M. (2015). The application of mindfulness in coping with intrusive thoughts. //Cognitive and Behavioral Practice, 22//(4), 439-446. https://doi.org/10.1016/j.cbpra.2014.06.001
Shipherd, J.C., Salters-Pedneault, K., & Fordiani, J. (2016). Evaluating postdeployment training for coping with intrusive cognition: A comparison of training approaches. //Journal of Consulting and Clinical Psychology, 84//(11), 960-971. https://doi.org/10.1037/ccp0000136
Varese, F., Barkus, E., & Bentall, R.P. (2011). Dissociative and metacognitive factors in hallucination-proneness when controlling for comorbid symptoms. //Cognitive Neuropsychiatry, 16//(3), 193-217. https://doi.org/10.1080/13546805.2010.495244
Wells, A., & Roussis, P. (2014). Refraining from intrusive thoughts is strategy dependent: A comment on Sugiura, et al. and a preliminary informal test of detached mindfulness, acceptance, and other strategies. //Psychological Reports, 115//(2), 541-544. https://doi.org/10.2466/02.PR0.115c21z9
Edwards, S.D. (2014). Evaluation of heart rhythm coherence feedback training on physiological and psychological variables. //South African Journal of Psychology, 44//(1), 73-82. https://doi.org/10.1177/0081246313516255
Gimpel, C., Von Scheidt, C., Jose, G., Sonntag, U., Stefano, G.B., Michalsen, A., ... & Esch, T. (2014). Changes and interactions of flourishing, mindfulness, sense of coherence, and quality of life in patients of a mind-body medicine outpatient clinic. //Forschende Komplementarmedizin, 21//(3), 154-162. https://doi.org/10.1159/000363784
Lehmann, D., Faber, P.L., Tei, S., Pascual-Marqui, R.D., Milz, P., & Kochi, K. (2012). Reduced functional connectivity between cortical sources in five meditation traditions detected with lagged coherence using EEG tomography. //Neuroimage, 60//(2), 1574-1586. https://doi.org/10.1016/j.neuroimage.2012.01.042
Sze, J.A., Gyurak, A., Yuan, J.W., & Levenson, R.W. (2010). Coherence between emotional experience and physiology: Does body awareness training have an impact?. //Emotion, 10//(6), 803-814. https://doi.org/10.1037/a0020146
Travis, F., & Arenander, A. (2006). Cross-sectional and longitudinal study of effects of transcendental meditation practice on interhemispheric frontal asymmetry and frontal coherence. //International Journal of Neuroscience, 116//(12), 1519-1538. https://doi.org/10.1080/00207450600575482
Barker, V., & Giles, H. (2003). Integrating the communicative predicament and enhancement of aging models: The case of older native Americans. //Health Communication, 15//(3), 255-275. https://doi.org/10.1207/S15327027HC1503_1
Dickinson, J., Friary, P., & McCann, C.M. (2017). The influence of mindfulness meditation on communication and anxiety: A case study of a person with aphasia. //Aphasiology, 31//(9), 1044-1058. https://doi.org/10.1080/02687038.2016.1234582
Epner, D.E., & Baile, W.F. (2014). Difficult conversations: Teaching medical oncology trainees communication skills one hour at a time. //Academic Medicine, 89//(4), 578-584. https://doi.org/10.1097/ACM.0000000000000177
Fuller, R.P. (2016). The big breach: An experiential learning exercise in mindful crisis communication. //Communication Teacher, 30//(1), 27-32. https://doi.org/10.1080/17404622.2015.1102306
Grapendorf, J., Sassenberg, K., & Landkammer, F. (2017). Mindfulness is detrimental to performance in computer-mediated interdependent tasks. //Computers in Human Behavior, 74//, 1-6. https://doi.org/10.1016/j.chb.2017.04.023
Huston, D.C., Garland, E.L., & Farb, N.A.S. (2011). Mechanisms of mindfulness in communication training. //Journal of Applied Communication Research, 39//(4), 406-421. https://doi.org/10.1080/00909882.2011.608696
Jensen, D., Bruce, L.C., Heimberg, R.G., Matt, L.M., & Morrison, A.S. (2016). Social anxiety and misinterpretation of the five facet mindfulness questionnaire describe subscale. //Journal of Cognitive Psychotherapy, 30//(3), 168-176. https://doi.org/10.1891/0889-8391.30.3.168
Jensen, K.K., & Harris, V. (1999). The public speaking portfolio. //Communication Education, 48//(3), 211-227. https://doi.org/10.1080/03634529909379170
Jones, S.M., & Hansen, W. (2015). The impact of mindfulness on supportive communication skills: Three exploratory studies. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0362-7
King, P.E., & Sawyer, C.R. (1998). Mindfulness, mindlessness and communication instruction. //Communication Education, 47//(4), 326-336. https://doi.org/10.1080/03634529809379139
Lanham, H.J., Leykum, L.K., & McDaniel, R.R. (2012). Same organization, same electronic health records (EHRs) system, different use: Exploring the linkage between practice member communication patterns and ehr use patterns in an ambulatory care setting. //Journal of the American Medical Informatics Association, 19//(3), 382-391. https://doi.org/10.1136/amiajnl-2011-000263
Laures-Gore, J., & Marshall, R.S. (2016). Mindfulness meditation in aphasia: A case report. //Neurorehabilitation, 38//(4), 321-329. https://doi.org/10.3233/NRE-161323
Ramasubramanian, S. (2017). Mindfulness, stress coping and everyday resilience among emerging youth in a university setting: A mixed methods approach. //International Journal of Adolescence and Youth, 22//(3), 308-321. https://doi.org/10.1080/02673843.2016.1175361
Real, K., Fields-Elswick, K., & Bernard, A.C. (2017). Understanding resident performance, mindfulness, and communication in critical care rotations. //Journal of Surgical Education, 74//(3), 503-512. https://doi.org/10.1016/j.jsurg.2016.11.010
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
Sundling, V., Sundler, A.J., Holmstrom, I.K., Kristensen, D.V., & Eide, H. (2017). Mindfulness predicts student nurses' communication self-efficacy: A cross-national comparative study. //Patient Education and Counseling, 100//(8), 1558-1563. https://doi.org/10.1016/j.pec.2017.03.016
Tili, T.R., & Barker, G.G. (2015). Communication in intercultural marriages: Managing cultural differences and conflicts. //Southern Communication Journal, 80//(3), 189-210. https://doi.org/10.1080/1041794X.2015.1023826
Wittenberg-Lyles, E., Goldsmith, J., & Ragan, S.L. (2010). The comfort initiative palliative nursing and the centrality of communication. //Journal of Hospice & Palliative Nursing, 12//(5), 282-292. https://doi.org/10.1097/NJH.0b013e3181ebb45e
Akin, A. (2008). Self-compassion and achievement goals: A structural equation modeling approach. //Eurasian Journal of Educational Research, 8//(31), 1-15.
Akin, A. (2009). Self-compassion and submissive behavior. //Egitim Ve Bilim-education and Science, 34//(152), 138-147.
Akin, A. (2010). Self-compassion and interpersonal cognitive distortions. //Hacettepe University Journal of Education, 39//(39), 1-9.
Akin, A. (2012). Self-compassion and automatic thoughts. //Hacettepe University Journal of Education, 42//, 1-10.
Akin, A., & Akin, U. (2014). Self-compassion as a predictor of defeat in Turkish university students. //Voprosy Psikhologii, //(5), 79-86.
Akin, A., & Akin, U. (2015). Examining the predictive role of self-compassion on flourishing in Turkish university students. //Annals of Psychology, 31//(3), 802-807. https://doi.org/10.6018/analesps.31.3.192041
Akin, A., & Akin, U. (2015). Self-compassion as a predictor of social safeness in Turkish university students. //Revista Latinoamericana De Psicologia, 47//(1), 43-49. https://doi.org/10.1016/S0120-0534(15)30005-4
Akin, A., & Akin, U. (2015). The predictive role of self-compassion on entrapment in Turkish university students. //Universitas Psychologica, 14//(2), 423-431. http://dx.doi.org.10.11144/Javeriana.upsy14-2.prsc
Akin, A., & Akin, U. (2017). Does self-compassion predict spiritual experiences of Turkish university students?. //Journal of Religion & Health, 56//(1), 109-117. https://doi.org/10.1007/s10943-015-0138-y
Akin, A., & Eroglu, Y. (2013). Self-compassion and relational-interdependent self-construal. //Studia Psychologica, 55//(2), 111-121. https://doi.org/10.21909/sp.2013.02.629
Akin, U., & Akin, A. (2015). Examining the predictive role of self-compassion on sense of community in Turkish adolescents. //Social Indicators Research, 123//(1), 29-38. https://doi.org/10.1007/s11205-014-0724-5
Akin, U., & Akin, A. (2015). The predictive role of self-compassion on self-handicapping in Turkish university students. //Ceskoslovenska Psychologie, 59//(1), 33-43.
Albertson, E.R., Neff, K.D., & Dill-Shackleford, K.E. (2015). Self-compassion and body dissatisfaction in women: A randomized controlled trial of a brief meditation intervention. //Mindfulness, 6//(3), 444-454. https://doi.org/10.1007/s12671-014-0277-3
Arimitsu, K. (2016). The effects of a program to enhance self-compassion in Japanese individuals: A randomized controlled pilot study. //Journal of Positive Psychology, 11//(6), 559-571. https://doi.org/10.1080/17439760.2016.1152593
Ashar, Y.K., Andrews-Hanna, J.R., Yarkoni, T., Sills, J., Halifax, J., Dimidjian, S., ... & Wager, T.D. (2016). Effects of compassion meditation on a psychological model of charitable donation. //Emotion, 16//(5), 691-705. https://doi.org/10.1037/emo0000119
Atkins, P.W.B., & Parker, S.K. (2012). Understanding individual compassion in organizations: The role of appraisals and psychological flexibility. //Academy of Management Review, 37//(4), 524-546. https://doi.org/10.5465/amr.2010.0490
Atkinson, D.M., Rodman, J.L., Thuras, P.D., Shiroma, P.R., & Lim, K.O. (2017). Examining burnout, depression, and self-compassion in veterans affairs mental health staff. //Journal of Alternative and Complementary Medicine, 23//(7), 551-557. https://doi.org/10.1089/acm.2017.0087
Baer, R.A., Lykins, E.L.B., & Peters, J.R. (2012). Mindfulness and self-compassion as predictors of psychological wellbeing in long-term meditators and matched nonmeditators. //Journal of Positive Psychology, 7//(3), 230-238. https://doi.org/10.1080/17439760.2012.674548
Barnard, L.K., & Curry, J.F. (2011). Self-compassion: Conceptualizations, correlates, & interventions. //Review of General Psychology, 15//(4), 289-303. https://doi.org/10.1037/a0025754
Bartels-Velthuis, A.A., Schroevers, M.J., van der Ploeg, K., Koster, F., Fleer, J., & van den Brink, E. (2016). A mindfulness-based compassionate living training in a heterogeneous sample of psychiatric outpatients: A feasibility study. //Mindfulness, 7//(4), 809-818. https://doi.org/10.1007/s12671-016-0518-8
Beaumont, E., Rayner, G., Durkin, M., & Bowling, G. (2017). The effects of compassionate mind training on student psychotherapists. //Journal of Mental Health Training Education and Practice, 12//(5), 300-312. https://doi.org/10.1108/JMHTEP-06-2016-0030
Beck, A.R., Verticchio, H., Seeman, S., Milliken, E., & Schaab, H. (2017). A mindfulness practice for communication sciences and disorders undergraduate and speech-language pathology graduate students: Effects on stress, self-compassion, and perfectionism. //American Journal of Speech-language Pathology, 26//(3), 893-907. https://doi.org/10.1044/2017_AJSLP-16-0172
Bell, T., Dixon, A., & Kolts, R. (2017). Developing a compassionate internal supervisor: Compassion-focused therapy for trainee therapists. //Clinical Psychology & Psychotherapy, 24//(3), 632-648. https://doi.org/10.1002/cpp.2031
Benzo, R.P., Kirsch, J.L., & Nelson, C. (2017). Compassion, mindfulness, and the happiness of healthcare workers. //Explore: The Journal of Science and Healing, 13//(3), 201-206. https://doi.org/10.1016/j.explore.2017.02.001
Bergen-Cico, D., & Cheon, S. (2014). The mediating effects of mindfulness and self-compassion on trait anxiety. //Mindfulness, 5//(5), 505-519. https://doi.org/10.1007/s12671-013-0205-y
Beshai, S., McAlpine, L., Weare, K., & Kuyken, W. (2016). A non-randomised feasibility trial assessing the efficacy of a mindfulness-based intervention for teachers to reduce stress and improve well-being. //Mindfulness, 7//(1), 198-208. https://doi.org/10.1007/s12671-015-0436-1
Birnie, K., Speca, M., & Carlson, L.E. (2010). Exploring self-compassion and empathy in the context of mindfulness-based stress reduction (MBSR). //Stress and Health, 26//(5), 359-371. https://doi.org/10.1002/smi.1305
Bluth, K., & Blanton, P.W. (2014). Mindfulness and self-compassion: Exploring pathways to adolescent emotional well-being. //Journal of Child and Family Studies, 23//(7), 1298-1309. https://doi.org/10.1007/s10826-013-9830-2
Bluth, K., & Blanton, P.W. (2015). The influence of self-compassion on emotional well-being among early and older adolescent males and females. //Journal of Positive Psychology, 10//(3), 219-230. https://doi.org/10.1080/17439760.2014.936967
Bluth, K., & Eisenlohr-Moul, T.A. (2017). Response to a mindful self-compassion intervention in teens: A within-person association of mindfulness, self-compassion, and emotional well-being outcomes. //Journal of Adolescence, 57//, 108-118. https://doi.org/10.1016/j.adolescence.2017.04.001
Bluth, K., Campo, R.A., Futch, W.S., & Gaylord, S.A. (2017). Age and gender differences in the associations of self-compassion and emotional well-being in a large adolescent sample. //Journal of Youth and Adolescence, 46//(4), 840-853. https://doi.org/10.1007/s10964-016-0567-2
Bluth, K., Gaylord, S.A., Campo, R.A., Mullarkey, M.C., & Hobbs, L. (2016). Making friends with yourself: A mixed methods pilot study of a mindful self-compassion program for adolescents. //Mindfulness, 7//(2), 479-492. https://doi.org/10.1007/s12671-015-0476-6
Bluth, K., Roberson, P.N.E., & Gaylord, S.A. (2015). A pilot study of a mindfulness intervention for adolescents and the potential role of self-compassion in reducing stress. //Explore: The Journal of Science and Healing, 11//(4), 292-295. https://doi.org/10.1016/j.explore.2015.04.005
Boellinghaus, I., Jones, F.W., & Hutton, J. (2013). Cultivating self-care and compassion in psychological therapists in training: The experience of practicing loving-kindness meditation. //Training and Education in Professional Psychology, 7//(4), 267-277. https://doi.org/10.1037/a0033092
Bogosian, A., Hughes, A., Norton, S., Silber, E., & Moss-Morris, R. (2016). Potential treatment mechanisms in a mindfulness-based intervention for people with progressive multiple sclerosis. //British Journal of Health Psychology, 21//(4), 859-880. https://doi.org/10.1111/bjhp.12201
Bond, A.R., Mason, H.F., Lemaster, C.M., Shaw, S.E., Mullin, C.S., Holick, E.A., ... & Saper, R.B. (2013). Embodied health: The effects of a mind-body course for medical students. //Medical Education online, 18//(1), 20699. https://doi.org/10.3402/meo.v18i0.20699
Brooks, M., Kay-Lambkin, F., Bowman, J., & Childs, S. (2012). Self-compassion amongst clients with problematic alcohol use. //Mindfulness, 3//(4), 308-317. https://doi.org/10.1007/s12671-012-0106-5
Brown, J.L.C., Ong, J., Mathers, J.M., & Decker, J.T. (2017). Compassion fatigue and mindfulness: Comparing mental health professionals and MSW student interns. //Journal of Evidence-informed Social Work, 14//(3), 119-130. https://doi.org/10.1080/23761407.2017.1302859
Campos, D., Cebolla, A., Quero, S., Breton-Lopez, J., Botella, C., Soler, J., ... & Banos, R.M. (2016). Meditation and happiness: Mindfulness and self-compassion may mediate the meditation-happiness relationship. //Personality and Individual Differences, 93//, 80-85. https://doi.org/10.1016/j.paid.2015.08.040
Castilho, P., Pinto-Gouveia, J., & Duarte, J. (2015). Evaluating the multifactor structure of the long and short versions of the self-compassion scale in a clinical sample. //Journal of Clinical Psychology, 71//(9), 856-870. https://doi.org/10.1002/jclp.22187
Chamberlain, D., Williams, A., Stanley, D., Mellor, P., Cross, W., & Siegloff, L. (2016). Dispositional mindfulness and employment status as predictors of resilience in third year nursing students: A quantitative study. //Nursing Open, 3//(4), 212-221. https://doi.org/10.1002/nop2.56
Chang, E.C., Yu, T.N., Najarian, A.S.M., Wright, K.M., Chen, W.T., Chang, O.D., ... & Hirsch, J.K. (2017). Understanding the association between negative life events and suicidal risk in college students: Examining self-compassion as a potential mediator. //Journal of Clinical Psychology, 73//(6), 745-755. https://doi.org/10.1002/jclp.22374
Cooper, R., & Frearson, J. (2017). Adapting compassion focused therapy for an adult with a learning disability—A case study. //British Journal of Learning Disabilities, 45//(2), 142-150. https://doi.org/10.1111/bld.12187
Costa, J., & Pinto-Gouveia, J. (2013). Experiential avoidance and self-compassion in chronic pain. //Journal of Applied Social Psychology, 43//(8), 1578-1591. https://doi.org/10.1111/jasp.12107
Craigie, M., Slatyer, S., Hegney, D., Osseiran-Moisson, R., Gentry, E., Davis, S., ... & Rees, C. (2016). A pilot evaluation of a mindful self-care and resiliency (MSCR) intervention for nurses. //Mindfulness, 7//(3), 764-774. https://doi.org/10.1007/s12671-016-0516-x
Crews, D., & Crawford, M. (2015). Exploring the role of being out on a queer person's self-compassion. //Journal of Gay & Lesbian Social Services, 27//(2), 172-186. https://doi.org/10.1080/10538720.2015.1022272
Crews, D.A., Stolz-Newton, M., & Grant, N.S. (2016). The use of yoga to build self-compassion as a healing method for survivors of sexual violence. //Journal of Religion and Spirituality in Social Work, 35//(3), 139-156. https://doi.org/10.1080/15426432.2015.1067583
Dahm, K.A., Meyer, E.C., Neff, K.D., Kimbrel, N.A., Gulliver, S.B., & Morissette, S.B. (2015). Mindfulness, self-compassion, posttraumatic stress disorder symptoms, and functional disability in U.S. Iraq and Afghanistan war veterans. //Journal of Traumatic Stress, 28//(5), 460-464. https://doi.org/10.1002/jts.22045
Danucalov, M.A.D., Kozasa, E.H., Afonso, R.F., Galduroz, J.C.F., & Leite, J.R. (2017). Yoga and compassion meditation program improve quality of life and self-compassion in family caregivers of Alzheimer's disease patients: A randomized controlled trial. //Geriatrics & Gerontology International, 17//(1), 85-91. https://doi.org/10.1111/ggi.12675
Denckla, C.A., Consedine, N.S., & Bornstein, R.F. (2017). Self-compassion mediates the link between dependency and depressive symptomatology in college students. //Self and Identity, 16//(4), 373-383. https://doi.org/10.1080/15298868.2016.1264464
Devenish-Meares, P. (2015). Call to compassionate self-care: Introducing self-compassion into the workplace treatment process. //Journal of Spirituality in Mental Health, 17//(1), 75-87. https://doi.org/10.1080/19349637.2015.985579
Dowd, A.J., & Jung, M.E. (2017). Self-compassion directly and indirectly predicts dietary adherence and quality of life among adults with celiac disease. //Appetite, 113//, 293-300. https://doi.org/10.1016/j.appet.2017.02.023
Drury, V., Craigie, M., Francis, K., Aoun, S., & Hegney, D.G. (2014). Compassion satisfaction, compassion fatigue, anxiety, depression and stress in registered nurses in Australia: Phase 2 results. //Journal of Nursing Management, 22//(4), 519-531. https://doi.org/10.1111/jonm.12168
Duarte, J., & Pinto-Gouveia, J. (2016). Effectiveness of a mindfulness-based intervention on oncology nurses' burnout and compassion fatigue symptoms: A non-randomized study. //International Journal of Nursing Studies, 64//, 98-107. https://doi.org/10.1016/j.ijnurstu.2016.10.002
Duarte, J., & Pinto-Gouveia, J. (2017). Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. //Journal of Contextual Behavioral Science, 6//(2), 125-133. https://doi.org/10.1016/j.jcbs.2017.03.002
Duarte, J., & Pinto-Gouveia, J. (2017). The role of psychological factors in oncology nurses' burnout and compassion fatigue symptoms. //European Journal of Oncology Nursing, 28//, 114-121. https://doi.org/10.1016/j.ejon.2017.04.002
Duarte, J., Pinto-Gouveia, J., & Cruz, B. (2016). Relationships between nurses' empathy, self-compassion and dimensions of professional quality of life: A cross-sectional study. //International Journal of Nursing Studies, 60//, 1-11. https://doi.org/10.1016/j.ijnurstu.2016.02.015
Dundas, I., Svendsen, J.L., Wiker, A.S., Granli, K.V., & Schanche, E. (2016). Self-compassion and depressive symptoms in a Norwegian student sample. //Nordic Psychology, 68//(1), 58-72. https://doi.org/10.1080/19012276.2015.1071203
Engstrom, M., & Soderfeldt, B. (2010). Brain activation during compassion meditation: A case study. //Journal of Alternative and Complementary Medicine, 16//(5), 597-599. https://doi.org/10.1089/acm.2009.0309
Erogul, M., Singer, G., McIntyre, T., & Stefanov, D.G. (2014). Abridged mindfulness intervention to support wellness in first-year medical students. //Teaching and Learning in Medicine, 26//(4), 350-356. https://doi.org/10.1080/10401334.2014.945025
Feldman, C., & Kuyken, W. (2011). Compassion in the landscape of suffering. //Contemporary Buddhism, 12//(1), 143-155. https://doi.org/10.1080/14639947.2011.564831
Fernando, A.T., Skinner, K., & Consedine, N.S. (2017). Increasing compassion in medical decision-making: Can a brief mindfulness intervention help?. //Mindfulness, 8//(2), 276-285. https://doi.org/10.1007/s12671-016-0598-5
Finlay-Jones, A., Kane, R., & Rees, C. (2017). Self-compassion online: A pilot study of an internet-based self-compassion cultivation program for psychology trainees. //Journal of Clinical Psychology, 73//(7), 797-816. https://doi.org/10.1002/jclp.22375
Finlay-Jones, A.L., Rees, C.S., & Kane, R.T. (2015). Self-compassion, emotion regulation and stress among Australian psychologists: Testing an emotion regulation model of self-compassion using structural equation modeling. //PLOS ONE, 10//(7), e0133481.https://doi.org/10.1371/journal.pone.0133481
Fong, M., & Loi, N.M. (2016). The mediating role of self-compassion in student psychological health. //Australian Psychologist, 51//(6), 431-441. https://doi.org/10.1111/ap.12185
Fortney, L., Luchterhand, C., Zakletskaia, L., Zgierska, A., & Rakel, D. (2013). Abbreviated mindfulness intervention for job satisfaction, quality of life, and compassion in primary care clinicians: A pilot study. //Annals of Family Medicine, 11//(5), 412-420. https://doi.org/10.1370/afm.1511
Fresnics, A., & Borders, A. (2017). Angry rumination mediates the unique associations between self-compassion and anger and aggression. //Mindfulness, 8//(3), 554-564. https://doi.org/10.1007/s12671-016-0629-2
Galla, B.M. (2016). Within-person changes in mindfulness and self-compassion predict enhanced emotional well-being in healthy, but stressed adolescents. //Journal of Adolescence, 49//, 204-217. https://doi.org/10.1016/j.adolescence.2016.03.016
Galla, B.M., O'Reilly, G.A., Kitil, M.J., Smalley, S.L., & Black, D.S. (2015). Community-based mindfulness program for disease prevention and health promotion: Targeting stress reduction. //American Journal of Health Promotion, 30//(1), 36-41. https://doi.org/10.4278/ajhp.131107-QUAN-567
Gard, T., Brach, N., Holzel, B.K., Noggle, J.J., Conboy, L.A., & Lazar, S.W. (2012). Effects of a yoga-based intervention for young adults on quality of life and perceived stress: The potential mediating roles of mindfulness and self-compassion. //Journal of Positive Psychology, 7//(3), 165-175. https://doi.org/10.1080/17439760.2012.667144
Germer, C.K., & Neff, K.D. (2013). Self-compassion in clinical practice. //Journal of Clinical Psychology, 69//(8), 856-867. https://doi.org/10.1002/jclp.22021
Gilbert, P. (2014). The origins and nature of compassion focused therapy. //British Journal of Clinical Psychology, 53//(1), 6-41. https://doi.org/10.1111/bjc.12043
Gilbert, P., McEwan, K., Gibbons, L., Chotai, S., Duarte, J., & Matos, M. (2012). Fears of compassion and happiness in relation to alexithymia, mindfulness, and self-criticism. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(4), 374-390. https://doi.org/10.1111/j.2044-8341.2011.02046.x
Graser, J., Hofling, V., Wesslau, C., Mendes, A., & Stangier, U. (2016). Effects of a 12-week mindfulness, compassion, and loving kindness program on chronic depression: A pilot within-subjects wait-list controlled trial. //Journal of Cognitive Psychotherapy, 30//(1), 35-49. https://doi.org/10.1891/0889-8391.30.1.35
Greenberg, M.T., & Turksma, C. (2015). Understanding and watering the seeds of compassion. //Research in Human Development, 12//(3-4), 280-287. https://doi.org/10.1080/15427609.2015.1068060
Greeson, J.M., Juberg, M.K., Maytan, M., James, K., & Rogers, H. (2014). A randomized controlled trial of Koru: A mindfulness program for college students and other emerging adults. //Journal of American College Health, 62//(4), 222-233. https://doi.org/10.1080/07448481.2014.887571
Gregory, A. (2015). L yoga and mindfulness program: The effects on compassion fatigue and compassion satisfaction in social workers. //Journal of Religion and Spirituality in Social Work, 34//(4), 372-393. https://doi.org/10.1080/15426432.2015.1080604
Gu, J., Cavanagh, K., Baer, R., & Strauss, C. (2017). An empirical examination of the factor structure of compassion. //PLOS ONE, 12//(2), e0172471. https://doi.org/10.1371/journal.pone.0172471
Hall, C.W., Row, K.A., Wuensch, K.L., & Godley, K.R. (2013). The role of self-compassion in physical and psychological well-being. //Journal of Psychology, 147//(4), 311-323. https://doi.org/10.1080/00223980.2012.693138
Hayes, J.A., Lockard, A.J., Janis, R.A., & Locke, B.D. (2016). Construct validity of the self-compassion scale-short form among psychotherapy clients. //Counselling Psychology Quarterly, 29//(4), 405-422. https://doi.org/10.1080/09515070.2016.1138397
Hicdurmaz, D., & Aydin, A. (2017). The relationship between nursing students' self-compassion and multidimensional perfectionism levels and the factors that influence them. //Journal of Psychiatric Nursing, 8//(2), 86-94. https://doi.org/10.14744/phd.2017.40469
Hickey, T., Nelson, B., & Meadows, G. (2017). Application of a mindfulness and compassion-based approach to the at-risk mental state. //Clinical Psychologist, 21//(2), 104-115. https://doi.org/10.1111/cp.12132
Hilbert, A., Braehler, E., Schmidt, R., Lowe, B., Hauser, W., & Zenger, M. (2015). Self-compassion as a resource in the self-stigma process of overweight and obese individuals. //Obesity Facts, 8//(5), 293-301. https://doi.org/10.1159/000438681
Hindman, R.K., Glass, C.R., Arnkoff, D.B., & Maron, D.D. (2015). A comparison of formal and informal mindfulness programs for stress reduction in university students. //Mindfulness, 6//(4), 873-884. https://doi.org/10.1007/s12671-014-0331-1
Hoffart, A., Oktedalen, T., & Langkaas, T.F. (2015). Self-compassion influences PTSD symptoms in the process of change in trauma-focused cognitive-behavioral therapies: A study of within-person processes. //Frontiers in Psychology, 6//, 1273. https://doi.org/10.3389/fpsg.2015.01273
Hollingsworth, A. (2008). Implications of interpersonal neurobiology for a spirituality of compassion. //Zygon, 43//(4), 837-860. https://doi.org/10.1111/j.1467-9744.2008.00963.x
Hollis-Walker, L., & Colosimo, K. (2011). Mindfulness, self-compassion, and happiness in non-meditators: A theoretical and empirical examination. //Personality and Individual Differences, 50//(2), 222-227. https://doi.org/10.1016/j.paid.2010.09.033
Hussein, M., Egan, H., & Mantzios, M. (2017). Mindful construal diaries: A less anxious, more mindful, and more self-compassionate method of eating. //Sage Open, 2007//, 1-8. https://doi.org/10.1177/2158244017704685
Hwang, S., Kim, G., Yang, J.W., & Yang, E. (2016). The moderating effects of age on the relationships of self-compassion, self-esteem, and mental health. //Japanese Psychological Research, 58//(2), 194-205. https://doi.org/10.1111/jpr.12109
Iskender, M. (2009). The relationship between self-compassion, self-efficacy, and control belief about learning in Turkish university students. //Social Behavior and Personality, 37//(5), 711-720. https://doi.org/10.2224/sbp.2009.37.5.711
Jazaieri, H., Lee, I.A., McGonigal, K., Jinpa, T., Doty, J.R., Gross, J.J., ... & Goldin, P.R. (2016). A wandering mind is a less caring mind: Daily experience sampling during compassion meditation training. //Journal of Positive Psychology, 11//(1), 37-50. https://doi.org/10.1080/17439760.2015.1025418
Jazaieri, H., McGonigal, K., Jinpa, T., Doty, J.R., Gross, J.J., & Goldin, P.R. (2014). A randomized controlled trial of compassion cultivation training: Effects on mindfulness, affect, and emotion regulation. //Motivation and Emotion, 38//(1), 23-35. https://doi.org/10.1007/s11031-013-9368-z
Johnson, E.A., & O'Brien, K.A. (2013). Self-compassion soothes the savage ego-threat system: Effects on negative affect, shame, rumination, and depressive symptoms. //Journal of Social and Clinical Psychology, 32//(9), 939-963. http://psycnet.apa.org/doi/10.1521/jscp.2013.32.9.939
Kanov, J.M., Maitlis, S., Worline, M.C., Dutton, J.E., Frost, P.J., & Lilius, J.M. (2004). Compassion in organizational life. //American Behavioral Scientist, 47//(6), 808-827. https://doi.org/10.1177/0002764203260211
Karris, M., & Caldwell, B.E. (2015). Integrating emotionally focused therapy, self-compassion, and compassion-focused therapy to assist shame-prone couples who have experienced trauma. //Family Journal, 23//(4), 346-357. https://doi.org/10.1177/1066480715601676
Kearney, D.J., Malte, C.A., McManus, C., Martinez, M.E., Felleman, B., & Simpson, T.L. (2013). Loving-kindness meditation for posttraumatic stress disorder: A pilot study. //Journal of Traumatic Stress, 26//(4), 426-434. https://doi.org/10.1002/jts.21832
Kemper, K.J., Gascon, G., & Mahan, J.D. (2015). Two new scales for integrative medical education and research: Confidence in providing calm, compassionate care scale (CCCS) and self-efficacy in providing non-drug therapies (SEND) to relieve common symptoms. //European Journal of Integrative Medicine, 7//(4), 389-395. https://doi.org/10.1016/j.eujim.2014.10.010
Kemper, K.J., Mo, X.K., & Khayat, R. (2015). Are mindfulness and self-compassion associated with sleep and resilience in health professionals?. //Journal of Alternative and Complementary Medicine, 21//(8), 496-503. https://doi.org/10.1089/acm.2014.0281
Keng, S.L., & Liew, K.W.L. (2017). Trait mindfulness and self-compassion as moderators of the association between gender nonconformity and psychological health. //Mindfulness, 8//(3), 615-626. https://doi.org/10.1007/s12671-016-0639-0
Kennedy, A., & Ellerby, M. (2016). A compassion-focused approach to working with someone diagnosed with schizophrenia. //Journal of Clinical Psychology, 72//(2), 123-131. https://doi.org/10.1002/jclp.22251
Kirby, J.N., & Laczko, D. (2017). A randomized micro-trial of a loving-kindness meditation for young adults living at home with their parents. //Journal of Child and Family Studies, 26//(7), 1888-1899. https://doi.org/10.1007/s10826-017-0692-x
Kirby, J.N., Doty, J.R., Petrocchi, N., & Gilbert, P. (2017). The current and future role of heart rate variability for assessing and training compassion. //Frontiers in Public Health, 5//, 40. https://doi.org/10.3389/fpubh.2017.00040
Kirby, J.N., Tellegen, C.L., & Steindl, S.R. (2017). A meta-analysis of compassion-based interventions: Current state of knowledge and future directions. //Behavior Therapy, 48//(6), 778-792. https://doi.org/10.1016/j.beth.2017.06.003
Korner, A., Coroiu, A., Copeland, L., Gomez-Garibello, C., Albani, C., Zenger, M., ... & Brahler, E. (2015). The role of self-compassion in buffering symptoms of depression in the general population. //PLOS ONE, 10//(10), e0136598. https://doi.org/10.1371/journal.pone.0136598
Koszycki, D., Thake, J., Mavounza, C., Daoust, J.P., Taljaard, M., & Bradwejn, J. (2016). Preliminary investigation of a mindfulness-based intervention for social anxiety disorder that integrates compassion meditation and mindful exposure. //Journal of Alternative and Complementary Medicine, 22//(5), 363-374. https://doi.org/10.1089/acm.2015.0108
Krieger, T., Altenstein, D., Baettig, I., Doerig, N., & Holtforth, M.G. (2013). Self-compassion in depression: Associations with depressive symptoms, rumination, and avoidance in depressed outpatients. //Behavior Therapy, 44//(3), 501-513. https://doi.org/10.1016/j.beth.2013.04.004
Kristeller, J.L., & Johnson, T. (2005). Science looks at spirituality - cultivating loving kindness: A two-stage model of the effects of meditation on empathy, compassion, and altruism. //Zygon, 40//(2), 391-407. https://doi.org/10.1111/j.1467-9744.2005.00671.x
Kuyken, W., Watkins, E., Holden, E., White, K., Taylor, R.S., Byford, S., ... & Dalgleish, T. (2010). How does mindfulness-based cognitive therapy work?. //Behaviour Research and Therapy, 48//(11), 1105-1112. https://doi.org/10.1016/j.brat.2010.08.003
L'Estrange, K., Timulak, L., Kinsella, L., & D'Alton, P. (2016). Experiences of changes in self-compassion following mindfulness-based intervention with a cancer population. //Mindfulness, 7//(3), 734-744. https://doi.org/10.1007/s12671-016-0513-0
Laidlaw, A., Hunter, J., Turvey, T., Stillman, M., Warren, R., & Ozakinci, G. (2014). The development and evaluation of a flexible training course "understanding and developing compassion". //Journal of Evidence-based Psychotherapies, 14//(2), 149-157.
Lee, W.K., & Bang, H.J. (2010). The effects of mindfulness-based group intervention on the mental health of middle-aged Korean women in community. //Stress and Health, 26//(4), 341-348. https://doi.org/10.1002/smi.1303
Liss, M., & Erchull, M.J. (2015). Not hating what you see: Self-compassion may protect against negative mental health variables connected to self-objectification in college women. //Body Image, 14//, 5-12. https://doi.org/10.1016/j.bodyim.2015.02.006
Lopez, A., Sanderman, R., & Schroevers, M.J. (2016). Mindfulness and self-compassion as unique and common predictors of affect in the general population. //Mindfulness, 7//(6), 1289-1296. https://doi.org/10.1007/s12671-016-0568-y
Lopez, A., Sanderman, R., Smink, A., Zhang, Y., van Sonderen, E., Ranchor, A., ... & Schroevers, M.J. (2015). A reconsideration of the self-compassion scale's total score: Self-compassion versus self-criticism. //PLOS ONE, 10//(7), e0132940. https://doi.org/10.1371/journal.pone.0132940
Lord, S.A. (2013). Meditative dialogue: Cultivating compassion and empathy with survivors of complex childhood trauma. //Journal of Aggression Maltreatment & Trauma, 22//(9), 997-1014. https://doi.org/10.1080/10926771.2013.834018
MacBeth, A., & Gumley, A. (2012). Exploring compassion: A meta-analysis of the association between self-compassion and psychopathology. //Clinical Psychology Review, 32//(6), 545-552. https://doi.org/10.1016/j.cpr.2012.06.003
Manavipour, D., & Saeedian, Y. (2016). The role of self-compassion and control belief about learning in university students' self-efficacy. //Journal of Contextual Behavioral Science, 5//(2), 121-126. https://doi.org/10.1016/j.jcbs.2016.02.003
Mantzios, M. (2014). Exploring the relationship between worry and impulsivity in military recruits: The role of mindfulness and self-compassion as potential mediators. //Stress and Health, 30//(5), 397-404. https://doi.org/10.1002/smi.2617
Mantzios, M., & Egan, H.H. (2017). On the role of self-compassion and self-kindness in weight regulation and health behavior change. //Frontiers in Psychology, 8//, 229. https://doi.org/10.3389/fpsyg.2017.00229
Mantzios, M., & Wilson, J.C. (2014). Making concrete construals mindful: A novel approach for developing mindfulness and self-compassion to assist weight loss. //Psychology & Health, 29//(4), 422-441. https://doi.org/10.1080/08870446.2013.863883
Mantzios, M., & Wilson, J.C. (2015). Exploring mindfulness and mindfulness with self-compassion-centered interventions to assist weight loss: Theoretical considerations and preliminary results of a randomized pilot study. //Mindfulness, 6//(4), 824-835. https://doi.org/10.1007/s12671-014-0325-z
Mantzios, M., Wilson, J.C., Linnell, M., & Morris, P. (2015). The role of negative cognition, intolerance of uncertainty, mindfulness, and self-compassion in weight regulation among male army recruits. //Mindfulness, 6//(3), 545-552. https://doi.org/10.1007/s12671-014-0286-2
Marshall, E.J., & Brockman, R.N. (2016). The relationships between psychological flexibility, self-compassion, and emotional well-being. //Journal of Cognitive Psychotherapy, 30//(1), 60-72. https://doi.org/10.1891/0889-8391.30.1.60
Mascaro, J.S., Rilling, J.K., Negi, L.T., & Raison, C.L. (2013). Pre-existing brain function predicts subsequent practice of mindfulness and compassion meditation. //Neuroimage, 69//, 35-42. https://doi.org/10.1016/j.neuroimage.2012.12.021
McArthur, M., Mansfield, C., Matthew, S., Zaki, S., Brand, C., Andrews, J., ... & Hazel, S. (2017). Resilience in veterinary students and the predictive role of mindfulness and self-compassion. //Journal of Veterinary Medical Education, 44//(1), 106-115. https://doi.org/10.3138/jvme.0116-027R1
McArthur, M.L., Andrews, J.R., Brand, C., & Hazel, S.J. (2017). The prevalence of compassion fatigue among veterinary students in Australia and the associated psychological factors. //Journal of Veterinary Medical Education, 44//(1), 9-21. https://doi.org/10.3138/jvme.0116-016R3
McPherson, S., Hiskey, S., & Alderson, Z. (2016). Distress in working on dementia wards - a threat to compassionate care: A grounded theory study. //International Journal of Nursing Studies, 53//, 95-104. https://doi.org/10.1016/j.ijnurstu.2015.08.013
Mehr, K.E., & Adams, A.C. (2016). Self-compassion as a mediator of maladaptive perfectionism and depressive symptoms in college students. //Journal of College Student Psychotherapy, 30//(2), 132-145. https://doi.org/10.1080/87568225.2016.1140991
Miller, J.G., Kahle, S., Lopez, M., & Hastings, P.D. (2015). Compassionate love buffers stress-reactive mothers from fight-or-flight parenting. //Developmental Psychology, 51//(1), 36-43. https://doi.org/10.1037/a0038236
Moreira, H., & Canavarro, M.C. (2017). Psychometric properties of the interpersonal mindfulness in parenting scale in a sample of portuguese mothers. //Mindfulness, 8//(3), 691-706. https://doi.org/10.1007/s12671-016-0647-0
Moreira, H., Carona, C., Silva, N., Nunes, J., & Canavarro, M.C. (2016). Exploring the link between maternal attachment-related anxiety and avoidance and mindful parenting: The mediating role of self-compassion. //Psychology and Psychotherapy: Theory, Research and Practice, 89//(4), 369-384. https://doi.org/10.1111/papt.12082
Morley, R.M., Terranova, V.A., Cunningham, S.N., & Kraft, G. (2016). Self-compassion and predictors of criminality. //Journal of Aggression Maltreatment & Trauma, 25//(5). https://doi.org/10.1080/10926771.2015.1107170
Mosewich, A.D., Crocker, P.R.E., Kowalski, K.C., & DeLongis, A. (2013). Applying self-compassion in sport: An intervention with women athletes. //Journal of Sport & Exercise Psychology, 35//(5), 514-524. https://doi.org/10.1123/jsep.35.5.514
Muris, P., & Petrocchi, N. (2017). Protection or vulnerability? A meta-analysis of the relations between the positive and negative components of self-compassion and psychopathology. //Clinical Psychology & Psychotherapy, 24//(2), 373-383. https://doi.org/10.1002/cpp.2005
Muris, P., Meesters, C., Pierik, A., & de Kock, B. (2016). Good for the self: Self-compassion and other self-related constructs in relation to symptoms of anxiety and depression in non-clinical youths. //Journal of Child and Family Studies, 25//(2), 607-617. https://doi.org/10.1007/s10826-015-0235-2
Neff, K. (2003). Self-compassion: An alternative conceptualization of a healthy attitude toward oneself. //Self and Identity, 2//(2), 85-101. https://doi.org/10.1080/15298860390129863
Neff, K.D. (2016). The Self-compassion Scale is a valid and theoretically coherent measure of self-compassion. //Mindfulness, 7//(1), 264-274. https://doi.org/10.1007/s12671-015-0479-3
Neff, K.D., & Faso, D.J. (2015). Self-compassion and well-being in parents of children with autism. //Mindfulness, 6//(4), 938-947. https://doi.org/10.1007/s12671-014-0359-2
Neff, K.D., & Germer, C.K. (2013). A pilot study and randomized controlled trial of the mindful self-compassion program. //Journal of Clinical Psychology, 69//(1), 28-44. https://doi.org/10.1002/jclp.21923
Neff, K.D., & Vonk, R. (2009). Self-compassion versus global self-esteem: Two different ways of relating to oneself. //Journal of Personality, 77//(1), 23-50. https://doi.org/10.1111/j.1467-6494.2008.00537.x
Pace, T.W.W., Negi, L.T., Adame, D.D., Cole, S.P., Sivilli, T.I., Brown, T.D., ... & Raison, C.L. (2009). Effect of compassion meditation on neuroendocrine, innate immune and behavioral responses to psychosocial stress. //Psychoneuroendocrinology, 34//(1), 87-98. https://doi.org/10.1016/j.psyneuen.2008.08.011
Pace, T.W.W., Negi, L.T., Sivilli, T.I., Issa, M.J., Cole, S.P., Adame, D.D., ... & Raison, C.L. (2010). Innate immune, neuroendocrine and behavioral responses to psychosocial stress do not predict subsequent compassion meditation practice time. //Psychoneuroendocrinology, 35//(2), 310-315. https://doi.org/10.1016/j.psyneuen.2009.06.008
Perez-Bret, E., Altisent, R., & Rocafort, J. (2016). Definition of compassion in healthcare: A systematic literature review. //International Journal of Palliative Nursing, 22//(12), 599-606. https://doi.org/10.12968/ijpn.2016.22.12.599
Petrocchi, N., Ottaviani, C., & Couyoumdjian, A. (2014). Dimensionality of self-compassion: Translation and construct validation of the self-compassion scale in an Italian sample. //Journal of Mental Health, 23//(2), 72-77. https://doi.org/10.3109/09638237.2013.841869
Pfattheicher, S., Geiger, M., Hartung, J., Weiss, S., & Schindler, S. (2017). Old wine in new bottles? The case of self-compassion and neuroticism. //European Journal of Personality, 31//(2), 160-169. https://doi.org/10.1002/per.2097
Phillips, W.J., & Ferguson, S.J. (2013). Self-compassion: A resource for positive aging. //Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68//(4), 529-539. https://doi.org/10.1093/geronb/gbs091
Pidgeon, A.M., Ford, L., & Klaassen, F. (2014). Evaluating the effectiveness of enhancing resilience in human service professionals using a retreat-based mindfulness with metta training program: A randomised control trial. //Psychology Health & Medicine, 19//(3), 355-364. https://doi.org/10.1080/13548506.2013.806815
Pinto-Gouveia, J., Carvalho, S.A., Palmeira, L., Castilho, P., Duarte, C., Ferreira, C., ... & Costa, J. (2017). BEfree: A new psychological program for binge eating that integrates psychoeducation, mindfulness, and compassion. //Clinical Psychology & Psychotherapy, 24//(5), 1090-1098. https://doi.org/10.1002/cpp.2072
Pinto-Gouveia, J., Duarte, C., Matos, M., & Fraguas, S. (2014). The protective role of self-compassion in relation to psychopathology symptoms and quality of life in chronic and in cancer patients. //Clinical Psychology & Psychotherapy, 21//(4), 311-323. https://doi.org/10.1002/cpp.1838
Podina, I., Jucan, A., & David, D. (2015). Self-compassion: A buffer in the pathway from maladaptive beliefs to depression: An exploratory study. //Journal of Evidence-based Psychotherapies, 15//(1), 97-109.
Potter, P., Deshields, T., Berger, J.A., Clarke, M., Olsen, S., & Chen, L. (2013). Evaluation of a compassion fatigue resiliency program for oncology nurses. //Oncology Nursing Forum, 40//(2), 180-187. https://doi.org/10.1188/13.ONF.180-187
Przezdziecki, A., & Sherman, K.A. (2016). Modifying affective and cognitive responses regarding body image difficulties in breast cancer survivors using a self-compassion-based writing intervention. //Mindfulness, 7//(5), 1142-1155. https://doi.org/10.1007/s12671-016-0557-1
Przezdziecki, A., Sherman, K.A., Baillie, A., Taylor, A., Foley, E., & Stalgis-Bilinski, K. (2013). My changed body: Breast cancer, body image, distress and self-compassion. //Psycho-Oncology, 22//(8), 1872-1879. https://doi.org/10.1002/pon.3230
Psychogiou, L., Legge, K., Parry, E., Mann, J., Nath, S., Ford, T., ... & Kuyken, W. (2016). Self-compassion and parenting in mothers and fathers with depression. //Mindfulness, 7//(4), 896-908. https://doi.org/10.1007/s12671-016-0528-6
Raab, K., Sogge, K., Parker, N., & Flament, M.F. (2015). Mindfulness-based stress reduction and self-compassion among mental healthcare professionals: A pilot study. //Mental Health Religion & Culture, 18//(6), 503-512. https://doi.org/10.1080/13674676.2015.1081588
Robinson, K.J., Mayer, S., Allen, A.B., Terry, M., Chilton, A., & Leary, M.R. (2016). Resisting self-compassion: Why are some people opposed to being kind to themselves?. //Self and Identity, 15//(5), 505-524. https://doi.org/10.1080/15298868.2016.1160952
Rodgers, R.F., Franko, D.L., Donovan, E., Cousineau, T., Yates, K., McGowan, K., ... & Lowy, A.S. (2017). Body Image in emerging adults: The protective role of self-compassion. //Body image, 22//, 148-155. https://doi.org/10.1016/j.bodyim.2017.07.003
Rodriguez-Carvajal, R., Garcia-Rubio, C., Paniagua, D., Garcia-Diex, G., & de Rivas, S. (2016). Mindfulness integrative model (MIM): Cultivating positive states of mind towards oneself and the others through mindfulness and self-compassion. //Annals of Psychology, 32//(3), 749-760. https://doi.org/10.6018/analesps.32.3.261681
Roeser, R.W., & Eccles, J.S. (2015). Mindfulness and compassion in human development: Introduction to the special section. //Developmental Psychology, 51//(1), 1-6. https://doi.org/10.1037/a0038453
Rojiani, R., Santoyo, J.F., Rahrig, H., Roth, H.D., & Britton, W.B. (2017). Women benefit more than men in response to college-based meditation training. //Frontiers in Psychology, 8//, 551. https://doi.org/10.3389/fpsyg.2017.00551
Rowe, A.C., Shepstone, L., Carnelley, K.B., Cavanagh, K., & Millings, A. (2016). Attachment security and self-compassion priming increase the likelihood that first-time engagers in mindfulness meditation will continue with mindfulness training. //Mindfulness, 7//(3), 642-650. https://doi.org/10.1007/s12671-016-0499-7
Runyan, C., Savageau, J.A., Potts, S., & Weinreb, L. (2016). Impact of a family medicine resident wellness curriculum: A feasibility study. //Medical Education Online, 21//, 1. https://doi.org/10.3402/meo.v21.30648
Sanso, N., Galiana, L., Cebolla, A., Oliver, A., Benito, E., & Ekman, E. (2017). Cultivating emotional balance in professional caregivers: A pilot intervention. //Mindfulness, 8//(5), 1319-1327. https://doi.org/10.1007/s12671-017-0707-0
Satici, S.A., Uysal, R., & Akin, A. (2013). Investigating the relationship between flourishing and self-compassion: A structural equation modeling approach. //Psychologica Belgica, 53//(4), 85-99. https://doi.org/10.5334/pb-53-4-85
Satici, S.A., Uysal, R., & Akin, A. (2015). Early life experiences and self-compassion: A structural equation modelling. //Estudios De Psicologia, 36//(2), 343-365. https://doi.org/10.1080/02109395.2015.1026123
Scarlet, J., Altmeyer, N., Knier, S., & Harpin, R.E. (2017). The effects of compassion cultivation training (CCT) on healthcare workers. //Clinical Psychologist, 21//(2), 116-124. https://doi.org/10.1111/cp.12130
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
Schmidt, S. (2004). Mindfulness and healing intention: Concepts, practice, and research evaluation. //Journal of Alternative and Complementary Medicine, 10//, S7-S14. https://doi.org/10.1089/acm.2004.10.S-7
Schuling, R., Huijbers, M.J., van Ravesteijn, H., Donders, R., Kuyken, W., & Speckens, A.E.M. (2016). A parallel-group, randomized controlled trial into the effectiveness of mindfulness-based compassionate living (MBCL) compared to treatment-as-usual in recurrent depression: Trial design and protocol. //Contemporary Clinical Trials, 50//, 77-83. https://doi.org/10.1016/j.cct.2016.07.014
Shin, H.S., Black, D.S., Shonkoff, E.T., Riggs, N.R., & Pentz, M.A. (2016). Associations among dispositional mindfulness, self-compassion, and executive function proficiency in early adolescents. //Mindfulness, 7//(6), 1377-1384. https://doi.org/10.1007/s12671-016-0579-8
Sirois, F.M. (2014). Procrastination and stress: Exploring the role of self-compassion. //Self and Identity, 13//(2), 128-145. https://doi.org/10.1080/15298868.2013.763404
Smeets, E., Neff, K., Alberts, H., & Peters, M. (2014). Meeting suffering with kindness: Effects of a brief self-compassion intervention for female college students. //Journal of Clinical Psychology, 70//(9), 794-807. https://doi.org/10.1002/jclp.22076
Sousa, R., Castilho, P., Vieira, C., Vagos, P., & Rijo, D. (2017). Dimensionality and gender-based measurement invariance of the compassion scale in a community sample. //Personality and Individual Differences, 117//, 182-187. https://doi.org/10.1016/j.paid.2017.06.003
Soysa, C.K., & Wilcomb, C.J. (2015). Mindfulness, self-compassion, self-efficacy, and gender as predictors of depression, anxiety, stress, and well-being. //Mindfulness, 6//(2), 217-226. https://doi.org/10.1007/s12671-013-0247-1
Stolow, D., Zuroff, D.C., Young, J.F., Karlin, R.A., & Abela, J.R.Z. (2016). A prospective examination of self-compassion as a predictor of depressive symptoms in children and adolescents. //Journal of Social and Clinical Psychology, 35//(1), 1-20. https://doi.org/10.1521/jscp.2016.35.1.1
Sun, X.Y., Chan, D.W., & Chan, L.K. (2016). Self-compassion and psychological well-being among adolescents in Hong Kong: Exploring gender differences. //Personality and Individual Differences, 101//, 288-292. https://doi.org/10.1016/j.paid.2016.06.011
Svendsen, J.L., Kvernenes, K.V., Wiker, A.S., & Dundas, I. (2017). Mechanisms of mindfulness: Rumination and self-compassion. //Nordic Psychology, 69//(2), 71-82. https://doi.org/10.1080/19012276.2016.1171730
Svendsen, J.L., Osnes, B., Binder, P.E., Dundas, I., Visted, E., Nordby, H., ... & Sorensen, L. (2016). Trait self-compassion reflects emotional flexibility through an association with high vagally mediated heart rate variability. //Mindfulness, 7//(5), 1103-1113. https://doi.org/10.1007/s12671-016-0549-1
Sydenham, M., Beardwood, J., & Rimes, K.A. (2017). Beliefs about emotions, depression, anxiety and fatigue: A mediational analysis. //Behavioural and Cognitive Psychotherapy, 45//(1), 73-78. https://doi.org/10.1017/S1352465816000199
Thieleman, K., & Cacciatore, J. (2014). Witness to suffering: Mindfulness and compassion fatigue among traumatic bereavement volunteers and professionals. //Social Work, 59//(1), 34-41. https://doi.org/10.1093/sw/swt044
Tirch, D.D. (2010). Mindfulness as a context for the cultivation of compassion. //International Journal of Cognitive Therapy, 3//(2), 113-123. https://doi.org/10.1521/ijct.2010.3.2.113
Van Dam, N.T., Hobkirk, A.L., Sheppard, S.C., Aviles-Andrews, R., & Earleywine, M. (2014). How does mindfulness reduce anxiety, depression, and stress? An exploratory examination of change processes in wait-list controlled mindfulness meditation training. //Mindfulness, 5//(5), 574-588. https://doi.org/10.1007/s12671-013-0229-3
Van Dam, N.T., Sheppard, S.C., Forsyth, J.P., & Earleywine, M. (2011). Self-compassion is a better predictor than mindfulness of symptom severity and quality of life in mixed anxiety and depression. //Journal of Anxiety Disorders, 25//(1), 123-130. https://doi.org/10.1016/j.janxdis.2010.08.011
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8), e0136955.https://doi.org/10.1371/journal.pone.0136955
Voci, A., Veneziani, C.A., & Bernardi, S. (2016). Dispositional mindfulness and self-compassion as predictors of work-related well-being. //Psicologia Sociale, 11//(1), 69-88. https://doi.org/10.1482/82881
Waldron, A.L., & Ebbeck, V. (2015). The relationship of mindfulness and self-compassion to desired wildland fire leadership. //International Journal of Wildland Fire, 24//(2), 201-211. https://doi.org/10.1071/WF13212
Wallmark, E., Safarzadeh, K., Daukantaite, D., & Maddux, R.E. (2013). Promoting altruism through meditation: An 8-week randomized controlled pilot study. //Mindfulness, 4//(3), 223-234. https://doi.org/10.1007/s12671-012-0115-4
Welp, L.R., & Brown, C.M. (2014). Self-compassion, empathy, and helping intentions. //Journal of Positive Psychology, 9//(1), 54-65. https://doi.org/10.1080/17439760.2013.831465
Werner, K.H., Jazaieri, H., Goldin, P.R., Ziv, M., Heimberg, R.G., & Gross, J.J. (2012). Self-compassion and social anxiety disorder. //Anxiety Stress and Coping, 25//(5), 543-558. https://doi.org/10.1080/10615806.2011.608842
Whitesman, S., & Mash, R. (2015). Examining the effects of a mindfulness-based professional training module on mindfulness, perceived stress, self-compassion and self-determination. //African Journal of Health Professions Education, 7//(2), 220-223. https://doi.org/10.7196/AJHPE.460
Williams, M.J., Dalgleish, T., Karl, A., & Kuyken, W. (2014). Examining the factor structures of the five facet mindfulness questionnaire and the self-compassion scale. //Psychological Assessment, 26//(2), 407-418. https://doi.org/10.1037/a0035566
Wong, C.C.Y., & Mak, W.W.S. (2013). Differentiating the role of three self-compassion components in buffering cognitive-personality vulnerability to depression among Chinese in Hong Kong. //Journal of Counseling Psychology, 60//(1), 162-169. https://doi.org/10.1037/a0030451
Wong, C.C.Y., & Mak, W.W.S. (2016). Writing can heal: Effects of self-compassion writing among Hong Kong Chinese college students. //Asian American Journal of Psychology, 7//(1), 74-82. https://doi.org/10.1037/aap0000041
Woodruff, S.C., Glass, C.R., Arnkoff, D.B., Crowley, K.J., Hindman, R.K., & Hirschhorn, E.W. (2014). Comparing self-compassion, mindfulness, and psychological inflexibility as predictors of psychological health. //Mindfulness, 5//(4), 410-421. https://doi.org/10.1007/s12671-013-0195-9
Yang, Y., Zhang, M.Y., & Kou, Y. (2016). Self-compassion and life satisfaction: The mediating role of hope. //Personality and Individual Differences, 98//, 91-95. https://doi.org/10.1016/j.paid.2016.03.086
Yarnell, L.M., Stafford, R.E., Neff, K.D., Reilly, E.D., Knox, M.C., & Mullarkey, M. (2015). Meta-analysis of gender differences in self-compassion. //Self and Identity, 14//(5), 499-520. https://doi.org/10.1080/15298868.2015.1029966
Yip, S.Y.C., Mak, W.W.S., Chio, F.H.N., & Law, R.W. (2017). The mediating role of self-compassion between mindfulness and compassion fatigue among therapists in Hong Kong. //Mindfulness, 8//(2), 460-470. https://doi.org/10.1007/s12671-016-0618-5
Zeng, X.L., Wei, J., Oei, T.P.S., & Liu, X.P. (2016). The self-compassion scale is not validated in a Buddhist sample. //Journal of Religion & Health, 55//(6), 1996-2009. https://doi.org/10.1007/s10943-016-0205-z
Zhang, Y.H., Luo, X., Che, X.W., & Duan, W.J. (2016). Protective effect of self-compassion to emotional response among students with chronic academic stress. //Frontiers in Psychology, 7//, 1802. https://doi.org/10.3389/fpsyg.2016.01802
Zoghbi-Manrique-de-Lara, P., & Guerra-Baez, R. (2016). Exploring the influence of ethical climate on employee compassion in the hospitality industry. //Journal of Business Ethics, 133//(3), 605-617. https://doi.org/10.1007/s10551-014-2415-1
[[Addiction]]<br>
[[Aggression]]<br>
[[Alcohol dependency]]<br>
[[Alexithymia]]<br>
[[Anger rumination]]<br>
[[Attention deficit hyperactivity disorder (ADHD)]]<br>
[[Bipolar disorder]]<br>
[[Borderline personality disorder]]<br>
[[Burnout]]<br>
[[Cancer]]<br>
[[Cardiac rehabilitation]]<br>
[[Cell phone use]]<br>
[[Childbirth]]<br>
[[Childhood trauma]]<br>
[[Chronic obstructive pulmonary disease (COPD)]]<br>
[[Communication]]<br>
[[Conflict]]<br>
[[Craving]]<br>
[[Death]]<br>
[[Diabetes]]<br>
[[Disaster]]<br>
[[Discomfort]]<br>
[[Eating]]<br>
[[Errors]]<br>
[[Fibromyalgia]]<br>
[[Fibromyalgia syndrome (FMS)]]<br>
[[Food consumption]]<br>
[[Gambling]]<br>
[[Generalised anxiety disorder (GAD)]]<br>
[[Headache]]<br>
[[Human immunodeficiency virus (HIV)]]<br>
[[Hypertension]]<br>
[[Infertility]]<br>
[[Inflammatory responses]]<br>
[[Injuries]]<br>
[[Internet-addiction]]<br>
[[Intolerance]]<br>
[[Major depressive disorder (MDD)]]<br>
[[Media multitasking]]<br>
[[Opiod-use]]<br>
[[Organ transplant]]<br>
[[Pain]]<br>
[[Posttraumatic stress disorder (PTSD)]]<br>
[[Procrastination]]<br>
[[Psychosis]]<br>
[[Rehabilitation]]<br>
[[Safety]]<br>
[[Schizophrenia]]<br>
[[Sexual issues]]<br>
[[Sleep]]<br>
[[Smoking]]<br>
[[Social anxiety disorder (SAD)]]<br>
[[Social media behaviour]]<br>
[[Speech]]<br>
[[Substance use]]<br>
[[Suicidal ideation]]<br>
[[Tinnitus]]<br>
[[Trauma]]<br>
[[Treatment-resistant depression (TRD)]]<br>
[[Urgency]]<br>
[[Violence]]<br>
[[Voice hallucination]]<br>
[[Weight]]<br>
[[Worry]]<br>
Alkoby, A., Halperin, E., Tarrasch, R., & Levit-Binnun, N. (2017). Increased support for political compromise in the Israeli-Palestinian conflict following an 8-week mindfulness workshop. //Mindfulness, 8//(5), 1345-1353. https://doi.org/10.1007/s12671-017-0710-5
Allen, M., Dietz, M., Blair, K.S., van Beek, M., Rees, G., Vestergaard-Poulsen, P., ... & Roepstorff, A. (2012). Cognitive-affective neural plasticity following active-controlled mindfulness intervention. //Journal of Neuroscience, 32//(44), 15601-15610. https://doi.org/10.1523/JNEUROSCI.2957-12.2012
Allen, T.D., & Kiburz, K.M. (2012). Trait mindfulness and work-family balance among working parents: The mediating effects of vitality and sleep quality. //Journal of Vocational Behavior, 80//(2), 372-379. https://doi.org/10.1016/j.jvb.2011.09.002
Barker, M. (2010). Self-care and relationship conflict. //Sexual and Relationship Therapy, 25//(1), 37-47. https://doi.org/10.1080/14681990903479904
Brach, D. (2008). A logic for the magic of mindful negotiation. //Negotiation Journal, 24//(1), 25-44. https://doi.org/10.1111/j.1571-9979.2007.00165.x
Cheng, K.S., Chang, Y.F., Han, R.P.S., & Lee, P.F. (2017). Enhanced conflict monitoring via a short-duration, video-assisted deep breathing in healthy young adults: An event-related potential approach through the Go/NoGo paradigm. //PeerJ, 5//, e385. https://doi.org/10.7717/peerj.3857
Coates, C.A. (2015). The parenting coordinator as peacemaker and peacebuilder. //Family Court Review, 53//(3), 398-406. https://doi.org/10.1111/fcre.12161
Fan, Y.X., Tang, Y.Y., Tang, R.X., & Posner, M.I. (2015). Time course of conflict processing modulated by brief meditation training. //Frontiers in Psychology, 6//. https://doi.org/10.3389/fpsyg.2015.00911
Freshman, C., & Guthrie, C. (2009). Managing the goal-setting paradox: How to get better results from high goals and be happy. //Negotiation Journal, 25//(2), 217-231. https://doi.org/10.1111/j.1571-9979.2009.00221.x
Grund, A., Grunschel, C., Bruhn, D., & Fries, S. (2015). Torn between want and should: An experience-sampling study on motivational conflict, well-being, self-control, and mindfulness. //Motivation and Emotion, 39//(4), 506-520. https://doi.org/10.1007/s11031-015-9476-z
Hertz, R.M., Laurent, H.K., & Laurent, S.M. (2015). Attachment mediates effects of trait mindfulness on stress responses to conflict. //Mindfulness, 6//(3), 483-489. https://doi.org/10.1007/s12671-014-0281-7
Horton-Deutsch, S.L., & Horton, J.M. (2003). Mindfulness: Overcoming intractable conflict. //Archives of Psychiatric Nursing, 17//(4), 186-193. https://doi.org/10.1016/S0883-9417(03)00089-X
Jha, A.P., Krompinger, J., & Baime, M.J. (2007). Mindfulness training modifies subsystems of attention. //Cognitive Affective & Behavioral Neuroscience, 7//(2), 109-119. https://doi.org/10.3758/CABN.7.2.109
Jo, H.G., Malinowski, P., & Schmidt, S. (2017). Frontal theta dynamics during response conflict in long-term mindfulness meditators. //Frontiers in Human Neuroscience, 11//. https://doi.org/10.3389/fnhum.2017.00299
Kiburz, K.M., Allen, T.D., & French, K.A. (2017). Work-family conflict and mindfulness: Investigating the effectiveness of a brief training intervention. //Journal of Organizational Behavior, 38//(7), 1016-1037. https://doi.org/10.1002/job.2181
Kuttner, R. (2012). Cultivating dialogue: From fragmentation to relationality in conflict Interaction. //Negotiation Journal, 28//(3), 315-335. https://doi.org/10.1111/j.1571-9979.2012.00342.x
Laurent, H., Laurent, S., Hertz, R., Egan-Wright, D., & Granger, D.A. (2013). Sex-specific effects of mindfulness on romantic partners' cortisol responses to conflict and relations with psychological adjustment. //Psychoneuroendocrinology, 38//(12), 2905-2913. https://doi.org/10.1016/j.psyneuen.2013.07.018
Laurent, H.K., Hertz, R., Nelson, B., & Laurent, S.M. (2016). Mindfulness during romantic conflict moderates the impact of negative partner behaviors on cortisol responses. //Hormones and Behavior, 79//, 45-51. https://doi.org/10.1016/j.yhbeh.2016.01.005
Laurent, H.K., Laurent, S.M., Lightcap, A., & Nelson, B.W. (2016). How situational mindfulness during conflict stress relates to well-being. //Mindfulness, 7//(4), 909-915. https://doi.org/10.1007/s12671-016-0529-5
Laurent, H.K., Laurent, S.M., Nelson, B., Wright, D.B., & Sanchez, M.A.D. (2015). Dispositional mindfulness moderates the effect of a brief mindfulness induction on physiological stress responses. //Mindfulness, 6//(5), 1192-1200. https://doi.org/10.1007/s12671-014-0377-0
Ndubisi, N.O. (2012). Mindfulness, reliability, pre-emptive conflict handling, customer orientation and outcomes in Malaysia's healthcare sector. //Journal of Business Research, 65//(4), 537-546. https://doi.org/10.1016/j.jbusres.2011.02.019
Pinazo, D., & Vazquez, C. (2014). The effect of meditation based on self-observation on cognitive responses in conflictive social interaction. //Nordic Psychology, 66//(3), 202-215. https://doi.org/10.1080/19012276.2014.935460
Reb, J., & Narayanan, J. (2014). The influence of mindful attention on value claiming in distributive negotiations: Evidence from four laboratory experiments. //Mindfulness, 5//(6), 756-766. https://doi.org/10.1007/s12671-013-0232-8
Saavedra, M.C., Chapman, K.E., & Rogge, R.D. (2010). Clarifying links between attachment and relationship quality: Hostile conflict and mindfulness as moderators. //Journal of Family Psychology, 24//(4), 380-390. https://doi.org/10.1037/a0019872
Siqueira, R.P., & Pitassi, C. (2016). Sustainability-oriented innovations: Can mindfulness make a difference?. //Journal of Cleaner Production, 139//, 1181-1190. https://doi.org/10.1016/j.jclepro.2016.08.056
Skarlicki, D.P., Kay, A.A., Aquino, K., & Fushtey, D. (2017). Must heads roll? a critique of and alternative approaches to swift blame. //Academy of Management Perspectives, 31//(3), 222-238. https://doi.org/10.5465/amp.2015.0118
Smyth, L.F. (2012). Escalation and mindfulness. //Negotiation Journal, 28//(1), 45-72. https://doi.org/10.1111/j.1571-9979.2011.00325.x
Tarantino, N., Lamis, D.A., Ballard, E.D., Masuda, A., & Dvorak, R.D. (2015). Parent-child conflict and drug use in college women: A moderated mediation model of self-control and mindfulness. //Journal of Counseling Psychology, 62//(2), 303-313. https://doi.org/10.1037/cou0000013
Valentine, S., Godkin, L., & Varca, P.E. (2010). Role conflict, mindfulness, and organizational ethics in an education-based healthcare institution. //Journal of Business Ethics, 94//(3), 455-469. https://doi.org/10.1007/s10551-009-0276-9
Zalta, A. (2016). Contribution of Buddhist mindfulness to the transformation of conflicts – dependent origination (paticca-samuppada) and deconstruction of identity. //Asian Studies-azijske Studije, 4//(2), 139-151. https://doi.org/10.4312/as.2016.4.2.139-151
Koole, S.L., Govorun, O., Cheng, C.M., & Gallucci, M. (2009). Pulling yourself together: Meditation promotes congruence between implicit and explicit self-esteem. //Journal of Experimental Social Psychology, 45//(6), 1220-1226. https://doi.org/10.1016/j.jesp.2009.05.018
Tan, E.S.N., & Yarhouse, M.A. (2010). Facilitating congruence between religious beliefs and sexual identity with mindfulness. //Psychotherapy, 47//(4), 500-511. https://doi.org/10.1037/a0022081
[[Accuracy]]<br>
[[Ambiguity]]<br>
[[Ambivalence]]<br>
[[Amygdala]]<br>
[[Attention]]<br>
[[Autobiographical memory]]<br>
[[Automaticity]]<br>
[[Boundary]]<br>
[[Buddhism]]<br>
[[Clarity]]<br>
[[Cognitive fusion]]<br>
[[Cognitive intrusion]]<br>
[[Coherence]]<br>
[[Compassion]]<br>
[[Congruence]]<br>
[[Contemplative science]]<br>
[[Creativity]]<br>
[[Curiosity]]<br>
[[Decentering]]<br>
[[Default mode network (DMN)]]<br>
[[Defusion]]<br>
[[Discrepancy]]<br>
[[Dissociation]]<br>
[[Distraction]]<br>
[[Embodiment]]<br>
[[Empathy]]<br>
[[Ethics]]<br>
[[Flourishing]]<br>
[[Flow]]<br>
[[Forgiveness]]<br>
[[Gratitude]]<br>
[[Happiness]]<br>
[[Healing]]<br>
[[Health related quality of life (HRQOL)]]<br>
[[Hypnosis]]<br>
[[Identity]]<br>
[[Imagery]]<br>
[[Immersion]]<br>
[[Implicit processes]]<br>
[[Impulsivity]]<br>
[[Indian]]<br>
[[Intelligence]]<br>
[[Interoceptive processes]]<br>
[[Intuition]]<br>
[[Journey]]<br>
[[Joy]]<br>
[[Locus of control]]<br>
[[Love]]<br>
[[Loving-kindness meditation]]<br>
[[Metacognition]]<br>
[[Mind-wandering (1)]]<br>
[[Mind-wandering (2)]]<br>
[[Mindlessness]]<br>
[[Motor]]<br>
[[Neuroticism]]<br>
[[Nonattachment]]<br>
[[Panic]]<br>
[[Perfectionism]]<br>
[[Psychological well-being]]<br>
[[Quality of life]]<br>
[[Reappraisal]]<br>
[[Recall]]<br>
[[Religion]]<br>
[[Reward]]<br>
[[Rumination]]<br>
[[Self-esteem]]<br>
[[Sensemaking]]<br>
[[Serenity]]<br>
[[Shame]]<br>
[[Silence]]<br>
[[Spirituality]]<br>
[[Subjective well-being]]<br>
[[Suppression]]<br>
[[Transcendence]]<br>
[[Trust]]<br>
[[Values-based processes]]<br>
[[Vipassana]]<br>
[[Virtues]]<br>
[[Vision]]<br>
[[Wisdom]]<br>
[[Zen]]<br>
Alfieri, A.V. (2012). Educating lawyers for community. //Wisconsin Law Review, 2012//, 115-158. http://dx.doi.org/10.2139/ssrn.1991160
Bach, J.M., & Guse, T. (2015). The effect of contemplation and meditation on 'great compassion' on the psychological well-being of adolescents. //Journal of Positive Psychology, 10//(4), 359-369. https://doi.org/10.1080/17439760.2014.965268
Baird, B., Mrazek, M.D., Phillips, D.T., & Schooler, J.W. (2014). Domain-specific enhancement of metacognitive ability following meditation training. //Journal of Experimental Psychology: General, 143//(5), 1972-1979. https://doi.org/10.1037/a0036882
Barratt, C. (2016). Exploring the potential of contemplative pedagogy in health professional education. //Focus on Health Professional Education: A multi-professional Journal, 17//(2), 20-31. http://dx.doi.org/10.11157/fohpe.v17i2.135
Berkovich-Ohana, A., & Glicksohn, J. (2017). Meditation, absorption, transcendent experience, and affect: Tying it all together via the Consciousness State Space (CSS) model. //Mindfulness, 8//(1), 68-77. https://doi.org/10.1007/s12671-015-0481-9
Bingaman, K.A. (2016). Incorporating contemplative neuroscience and mindfulness-based therapies into pastoral care and counseling: A critical correlational method. //Pastoral Psychology, 65//(6), 759-772. https://doi.org/10.1007/s11089-016-0719-z
Binnun, N.L., & Tarrasch, R. (2014). Relation between contemplative exercises and an enriched psychology students' experience in a neuroscience course. //Frontiers in Psychology, 5//,1296. https://doi.org/10.3389/fpsyg.2014.01296
Blom, R., & Lu, C.L. (2016). Contextualising postmodernity in Daoist symbolism: Toward a mindful education embracing Eastern wisdom. //Educational Philosophy and Theory, 48//(12), 1266-1283. https://doi.org/10.1080/00131857.2016.1190266
Bornemann, B., & Singer, T. (2017). Taking time to feel our body: Steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. //Psychophysiology, 54//(3), 469-482. https://doi.org/10.1111/psyp.12790
Bornemann, B., Herbert, B.M., Mehling, W.E., & Singer, T. (2015). Differential changes in self-reported aspects of interoceptive awareness through 3 months of contemplative training. //Frontiers in Psychology, 5//,1504. https://doi.org/10.3389/fpsyg.2014.01504
Brown, C.A., & Jones, A.K.P. (2010). Meditation experience predicts less negative appraisal of pain: Electrophysiological evidence for the involvement of anticipatory neural responses. //Pain, 150//(3), 428-438. https://doi.org/10.1016/j.pain.2010.04.017
Bush, M. (2011). Mindfulness in higher education. //Contemporary Buddhism, 12//(1), 183-197. https://doi.org/10.1080/14639947.2011.564838
Dalal, N. (2015). Responding to plagiarism using reflective means. //International Journal for Educational Integrity, 11//, 4. https://doi.org/10.1007/s40979-015-0002-6
Davidson, R., Dunne, J., Eccles, J.S., Engle, A., Greenberg, M., Jennings, P., ... & Vago, D. (2012). Contemplative practices and mental training: Prospects for American education. //Child Development perspectives, 6//(2), 146-153. https://doi.org/10.1111/j.1750-8606.2012.00240.x
de Castro, J.M. (2015). Meditation has stronger relationships with mindfulness, kundalini, and mystical experiences than yoga or prayer. //Consciousness and Cognition, 35//, 115-127. https://doi.org/10.1016/j.concog.2015.04.022
Desbordes, G., Gard, T., Hoge, E.A., Holzel, B., Kerr, C., Lazar, S.W., ... & Vago, D.R. (2015). Moving beyond mindfulness: Defining equanimity as an outcome measure in meditation and contemplative research. //Mindfulness, 6//(2), 356-372. https://doi.org/10.1007/s12671-013-0269-8
Dorjee, D. (2016). Defining contemplative science: The metacognitive self-regulatory capactiy of the mind, context of meditation practice and modes of existential awareness. //Frontiers in Psychology, 7//,1788. https://doi.org/10.3389/fpsyg.2016.01788
Ergas, O. (2015). The deeper teachings of mindfulness-based "interventions' as a reconstruction of "education'. //Journal of Philosophy of Education, 49//(2), 203-220. https://doi.org/10.1111/1467-9752.12137
Farb, N., Daubenmier, J., Price, C.J., Gard, T., Kerr, C., Dunn, B.D., ... & Mehling, W.E. (2015). Interoception, contemplative practice, and health. //Frontiers in Psychology, 6//,763. https://doi.org/10.3389/fpsyg.2015.00763
Felver, J.C., Jones, R., Killam, M.A., Kryger, C., Race, K., & McIntyre, L.L. (2017). Contemplative intervention reduces physical interventions for children in residential psychiatric treatment. //Prevention Science, 18//(2), 164-173. https://doi.org/10.1007/s11121-016-0720-x
Fiske, E. (2017). Contemplative practices, self-efficacy, and NCLEX-RN success. //Nurse Educator, 42//(3), 159-161. https://doi.org/10.1097/NNE.0000000000000327
Fiske, E.A. (2017). Contemplative activities in undergraduate nursing courses. //Journal of Nursing Education, 56//(6), 376-380. https://doi.org/10.3928/01484834-20170518-12
Garcia, A.F. (2015). Beyond theory: Martin Buber's //i and thou// and the role of contemplation in integrated relational counseling. //Journal of Creativity in Mental Health, 10//(4), 423-438. https://doi.org/10.1080/15401383.2015.1094435
Grandy, G., & Sliwa, M. (2017). Contemplative leadership: The possibilities for the ethics of leadership theory and practice. //Journal of Business Ethics, 143//(3), 423-440. https://doi.org/10.1007/s10551-015-2802-2
Greenberg, M.T., & Harris, A.R. (2012). Nurturing mindfulness in children and youth: Current state of research. //Child Development perspectives, 6//(2), 161-166. https://doi.org/10.1111/j.1750-8606.2011.00215.x
Hanley, A., Warner, A., & Garland, E.L. (2015). Associations between mindfulness, psychological well-being, and subjective well-being with respect to contemplative practice. //Journal of Happiness Studies, 16//(6), 1423-1436. https://doi.org/10.1007/s10902-014-9569-5
Hanley, A.W., Peterson, G.W., Canto, A.I., & Garland, E.L. (2015). The relationship between mindfulness and posttraumatic growth with respect to contemplative practice engagement. Mindfulness, 6(3), 654-662. https://doi.org/10.1007/s12671-014-0302-6
Holland, D. (2006). Contemplative education in unexpected places: Teaching mindfulness in Arkansas and Austria. //Teachers College Record, 108//(9), 1842-1861. https://doi.org/10.1111/j.1467-9620.2006.00764.x
Kemeny, M.E., Foltz, C., Cavanagh, J.F., Cullen, M., Giese-Davis, J., Jennings, P., ... & Ekman, P. (2012). Contemplative/emotion training reduces negative emotional behavior and promotes prosocial responses. //Emotion, 12//(2), 338-350. https://doi.org/10.1037/a0026118
Klatt, M.D. (2017). A contemplative tool: An exposé of the performance of self. //Journal of Transformative Education, 15//(2), 122-136. https://doi.org/10.1177/1541344616683280
Latta, M.M., Schnellert, L., Ondrik, K., & Sasges, M. (2017). The inspirited nature of mindful curricular enactment's community (re)making. //Journal of Curriculum Studies, 49//(3), 255-272. https://doi.org/10.1080/00220272.2016.1264484
Lindahl, J.R., Fisher, N.E., Cooper, D.J., Rosen, R.K., & Britton, W.B. (2017). The varieties of contemplative experience: A mixed-methods study of meditation-related challenges in western Buddhists. //PLOS ONE, 12//(5). https://doi.org/10.1371/journal.pone.0176239
Lindahl, J.R., Kaplan, C.T., Winget, E.M., & Britton, W.B. (2014). A phenomenology of meditation-induced light experiences: Traditional Buddhist and neurobiological perspectives. //Frontiers in Psychology, 4//, 973. https://doi.org/10.3389/fpsyg.2013.00973
Loizzo, J. (2014). Meditation research, past, present, and future: Perspectives from the Nalanda contemplative science tradition. //Advances in meditation research: Neuroscience and clinical applications, 1307//, 43-54. https://doi.org/10.1111/nyas.12273
Loizzo, J., Charlson, M., & Peterson, J. (2009). A program in contemplative self-healing stress, allostasis, and learning in the Indo-Tibetan tradition. //Annals of the New York Academy of Science, 1172//, 123-147. https://doi.org/10.1111/j.1749-6632.2009.04398.x
Loizzo, J.J. (2016). The subtle body: An interoceptive map of central nervous system function and meditative mind-brain-body integration. //Annals of the New York Academy of Sciences, 1373//, 78-95. https://doi.org/10.1111/nyas.13065
Loizzo, J.J., Peterson, J.C., Charlson, M.E., Wolf, E.J., Altemus, M., Briggs, W.M., ... & Caputo, T.A. (2010). The effect of a contemplative self-healing program on quality of life in women with breast and gynecologic cancers. //Alternative Therapies in Health and Medicine, 16//(3), 30-37. https://www.ncbi.nlm.nih.gov/pubmed/20486622
Lord, S. (2015). Meditative dialogue: Cultivating the transformative theater of psychotherapy. //Psychoanalytic Social Work, 22//(1), 71-87. https://doi.org/10.1080/15228878.2013.877395
Lord, S.A. (2010). Meditative dialogue: Cultivating sacred space in psychotherapy - an intersubjective fourth?//Smith College Studies in Social Work, 80//(42769), 269-285. https://doi.org/10.1080/00377311003754187
Lord, S.A. (2015). Meditative dialogue: Tuning in to the music of family therapy. //Journal of Family Therapy, 37//(3), 267-285. https://doi.org/10.1111/j.1467-6427.2012.00594.x
Lord, S.A. (2017). Mindfulness and spirituality in couple therapy: The use of meditative dialogue to help couples develop compassion and empathy for themselves and each other. //Australian and New Zealand Journal of Family Therapy, 38//(1), 98-114. https://doi.org/10.1002/anzf.1201
McWilliams, S. (2014). Foundations of mindfulness and contemplation: Traditional and contemporary perspectives. //International Journal of Mental Health and Addiction, 12//(2), 116-128. https://doi.org/10.1007/s11469-014-9486-1
Meinlschmidt, G., Lee, J.H., Stalujanis, E., Belardi, A., Oh, M., Jung, E.K., ... & Tegethoff, M. (2016). Smartphone-based psychotherapeutic micro-interventions to improve mood in a real-world setting. //Frontiers in Psychology, 7//, 1112. https://doi.org/10.3389/fpsyg.2016.01112
Narayanan, V.H. (2016). Voice in the head: The road ahead. //Journal of Indian Council of Philosophical Research, 33//(2), 265-280. https://doi.org/10.1007/s40961-016-0057-7
O'Donnell, A. (2015). Contemplative pedagogy and mindfulness: Developing creative attention in an age of distraction. //Journal of Philosophy of Education, 49//(2), 187-202. https://doi.org/10.1111/1467-9752.12136
Ozawa-de Silva, B. (2016). Contemplative science and secular ethics. //Religions, 7//(8),98. https://doi.org/10.3390/rel7080098
Pulkki, J., Bo, D.L., & Varri, V.M. (2017). Environmental education as a lived-body practice? a contemplative pedagogy perspective. //Journal of Philosophy of Education, 51//(1), 214-229. https://doi.org/10.1111/1467-9752.12209
Rappert, B., Colombetti, G., & Coopmans, C. (2017). What is absent from contemplative neuroscience? Rethinking limits within the study of consciousness, experience, and meditation. //Journal of Consciousness Studies, 24//(5-6), 199-225. http://hdl.handle.net/10871/25464
Roth, H.D. (2006). Contemplative studies: Prospects for a new field. //Teachers College Record, 108//(9), 1787-1815. https://doi.org/10.1111/j.1467-9620.2006.00762.x
Ruff, J.C. (2016). //Strange bedfellows//: Meditations on the indispensable virtues of confusion, mindfulness and humor in the neuroscientific and cognitive study of esoteric and contemplative traditions. //Religions, 7//(9). https://doi.org/10.3390/rel7090113
Schmalzl, L., Crane-Godreau, M.A., & Payne, P. (2014). Movement-based embodied contemplative practices: Definitions and paradigms. //Frontiers in Human Neuroscience, 8//,205. https://doi.org/10.3389/fnhum.2014.00205
Selvam, S.G. (2015). Character strengths in the context of Christian contemplative practice facilitating recovery from alcohol misuse: Two case studies. //Journal of Spirituality in Mental Health, 17//(3), 190-211. https://doi.org/10.1080/19349637.2015.1053302
Shapiro, S.L., Lyons, K.E., Miller, R.C., Butler, B., Vieten, C., & Zelazo, P.D. (2015). Contemplation in the classroom: A new direction for improving childhood education. //Educational Psychology review, 27//(1), 1-30. https://doi.org/10.1007/s10648-014-9265-3
Smith, S.E., Barnes, E.S., Mason, J., & Broome, J. (2016). Place, workplace, and mindful movement. //Learning Communities-international Journal of Learning in Social Contexts, 20//, 4-19. http://doi.org/10.18793/LCJ2016.20.02
Wahler, R.G., Singh, J., & Singh, N.N. (2009). Parents' autobiographical narratives: Setting events for their contemplation of mindful changes. //Journal of Child and Family Studies, 18//(5), 520-529. https://doi.org/10.1007/s10826-008-9254-6
Wald, H.S., Anthony, D., Hutchinson, T.A., Liben, S., Smilovitch, M., & Donato, A.A. (2015). Professional identity formation in medical education for humanistic, resilient physicians: Pedagogic strategies for bridging theory to practice. //Academic Medicine, 90//(6), 753-760. https://doi.org/10.1097/ACM.0000000000000725
<div class="tc-table-of-contents">
<<toc-selective-expandable 'Contents' sort[title]>>
</div>
Bergen-Cico, D., Possemato, K., & Pigeon, W. (2014). Reductions in cortisol associated with primary care brief mindfulness program for veterans with PTSD. //Medical Care, 52//(12), S25-S31. https://doi.org/10.1097/MLR.0000000000000224
Bergeron, C.M., Almgren-Dore, I., & Dandeneau, S. (2016). Letting go (implicitly): Priming mindfulness mitigates the effects of a moderate social stressor. //Frontiers in Psychology, 7//, 872. https://doi.org/10.3389/fpsyg.2016.00872
Bottaccioli, F., Carosella, A., Cardone, R., Mambelli, M., Cemin, M., D'Errico, M.M., ... & Minelli, A. (2014). Brief training of psychoneuroendocrinoimmunology-based meditation (PNEIMED) reduces stress symptom ratings and improves control on salivary cortisol secretion under basal and stimulated conditions. //Explore: The Journal of Science and Healing, 10//(3), 170-179. https://doi.org/10.1016/j.explore.2014.02.002
Brand, S., Holsboer-Trachsler, E., Naranjo, J.R., & Schmidt, S. (2012). Influence of mindfulness practice on cortisol and sleep in long-term and short-term meditators. //Neuropsychobiology, 65//(3), 109-118. https://doi.org/10.1159/000330362
Branstrom, R., Kvillemo, P., & Akerstedt, T. (2013). Effects of mindfulness training on levels of cortisol in cancer patients. //Psychosomatics, 54//(2), 158-164. https://doi.org/10.1016/j.psym.2012.04.007
Brown, K.W., Weinstein, N., & Creswell, J.D. (2012). Trait mindfulness modulates neuroendocrine and affective responses to social evaluative threat. //Psychoneuroendocrinology, 37//(12), 2037-2041. https://doi.org/10.1016/j.psyneuen.2012.04.003
Carlson, L.E., Doll, R., Stephen, J., Faris, P., Tamagawa, R., Drysdale, E., ... & Speca, M. (2013). Randomized controlled trial of mindfulness-based cancer recovery versus supportive expressive group therapy for distressed survivors of breast cancer (mindset). //Journal of Clinical Oncology, 31//(25), 3119-3126. https://doi.org/10.1200/JCO.2012.47.5210
Carlson, L.E., Speca, M., Patel, K.D., & Goodey, E. (2004). Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress and levels of cortisol, dehydroepiandrosterone sulfate (DHEAS) and melatonin in breast and prostate cancer outpatients. //Psychoneuroendocrinology, 29//(4), 448-474. https://doi.org/10.1016/S0306-4530(03)00054-4
Creswell, J.D., Pacilio, L.E., Lindsay, E.K., & Brown, K.W. (2014). Brief mindfulness meditation training alters psychological and neuroendocrine responses to social evaluative stress. //Psychoneuroendocrinology, 44//, 1-12. https://doi.org/10.1016/j.psyneuen.2014.02.007
Cruess, D.G., Finitsis, D.J., Smith, A.L., Goshe, B.M., Burnham, K., Burbridge, C., ... & O'Leary, K. (2015). Brief stress management reduces acute distress and buffers physiological response to a social stress test. //International Journal of Stress Management, 22//(3), 270-286. https://doi.org/10.1037/a0039130
Daubenmier, J., Hayden, D., Chang, V., & Epel, E. (2014). It's not what you think, it's how you relate to it: Dispositional mindfulness moderates the relationship between psychological distress and the cortisol awakening response. //Psychoneuroendocrinology, 48//, 11-18. https://doi.org/10.1016/j.psyneuen.2014.05.012
Dodds, S.E., Pace, T.W.W., Bell, M.L., Fiero, M., Negi, L.T., Raison, C.L., ... & Weihs, K.L. (2015). Feasibility of cognitively-based compassion training (CBCT) for breast cancer survivors: A randomized, wait list controlled pilot study. //Supportive Care in Cancer, 23//(12), 3599-3608. https://doi.org/10.1007/s00520-015-2888-1
Fan, Y.X., Tang, Y.Y., & Posner, M.I. (2014). Cortisol level modulated by integrative meditation in a dose-dependent fashion. //Stress and Health, 30//(1), 65-70. https://doi.org/10.1002/smi.2497
Galantino, M.L., Baime, M., Maguire, M., Szapary, P.O., & Farrar, J.T. (2005). Short communication: Association of psychological and physiological measures of stress in health-care professionals during an 8-week mindfulness meditation program: Mindfulness in practice. //Stress and Health, 21//(4), 255-261. https://doi.org/10.1002/smi.1062
Garland, E.L., Beck, A.C., Lipschitz, D.L., & Nakamura, Y. (2015). Dispositional mindfulness predicts attenuated waking salivary cortisol levels in cancer survivors: A latent growth curve analysis. //Journal of Cancer Survivorship, 9//(2), 215-222. https://doi.org/10.1007/s11764-014-0402-2
Gex-Fabry, M., Jermann, F., Kosel, M., Rossier, M.F., Van der Linden, M., Bertschy, G., ... & Aubry, J.M. (2012). Salivary cortisol profiles in patients remitted from recurrent depression: One-year follow-up of a mindfulness-based cognitive therapy trial. //Journal of Psychiatric Research, 46//(1), 80-86. https://doi.org/10.1016/j.jpsychires.2011.09.011
Goldberg, S.B., Manley, A.R., Smith, S.S., Greeson, J.M., Russell, E., Van Uum, S., ... & Davis, J.M. (2014). Hair cortisol as a biomarker of stress in mindfulness training for smokers. //Journal of Alternative and Complementary Medicine, 20//(8), 630-634. https://doi.org/10.1089/acm.2014.0080
Haslam, A., Wirth, M.D., & Robb, S.W. (2017). Relationship between meditation depth and waking salivary alpha-amylase secretion among long-term MBSR instructors. //Stress and Health, 33//(3), 298-306. https://doi.org/10.1002/smi.2706
Hou, W.K., Ng, S.M., & Wan, J.H.Y. (2015). Changes in positive affect and mindfulness predict changes in cortisol response and psychiatric symptoms: A latent change score modelling approach. //Psychology & Health, 30//(5), 551-567. https://doi.org/10.1080/08870446.2014.990389
Hsiao, F.H., Jow, G.M., Kuo, W.H., Yang, P.S., Lam, H.B., Chang, K.J., ... & Chang, C.H. (2016). The long-term effects of mindfulness added to family resilience-oriented couples support group on psychological well-being and cortisol responses in breast cancer survivors and their partners. //Mindfulness, 7//(6), 1365-1376. https://doi.org/10.1007/s12671-016-0578-9
Jacobs, T.L., Shaver, P.R., Epel, E.S., Zanesco, A.P., Aichele, S.R., Bridwell, D.A., ... & Saron, C.D. (2013). Self-reported mindfulness and cortisol during a Shamatha meditation retreat. //Health Psychology, 32//(10), 1104-1109. https://doi.org/10.1037/a0031362
Kim, S.H., Schneider, S.M., Bevans, M., Kravitz, L., Mermier, C., Qualls, C., ... & Burge, M.R. (2013). PTSD symptom reduction with mindfulness-based stretching and deep breathing exercise: Randomized controlled clinical trial of efficacy. //Journal of Clinical Endocrinology & Metabolism, 98//(7), 2984-2992. https://doi.org/10.1210/jc.2012-3742
Kuehner, C., Huffziger, S., & Liebsch, K. (2009). Rumination, distraction and mindful self-focus: Effects on mood, dysfunctional attitudes and cortisol stress response. //Psychological Medicine, 39//(2), 219-228. https://doi.org/10.1017/S0033291708003553
Laurent, H., Laurent, S., Hertz, R., Egan-Wright, D., & Granger, D.A. (2013). Sex-specific effects of mindfulness on romantic partners' cortisol responses to conflict and relations with psychological adjustment. //Psychoneuroendocrinology, 38//(12), 2905-2913. https://doi.org/10.1016/j.psyneuen.2013.07.018
Laurent, H.K., Duncan, L.G., Lightcap, A., & Khan, F. (2017). Mindful parenting predicts mothers' and infants' hypothalamic-pituitary-adrenal activity during a dyadic stressor. //Developmental Psychology, 53//(3), 417-424. https://doi.org/10.1037/dev0000258
Laurent, H.K., Laurent, S.M., Nelson, B., Wright, D.B., & Sanchez, M.A.D. (2015). Dispositional mindfulness moderates the effect of a brief mindfulness induction on physiological stress responses. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0377-0
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Donaldson, G.W., & Nakamura, Y. (2013). Reduction in salivary alpha-amylase levels following a mind-body intervention in cancer survivors - An exploratory study. //Psychoneuroendocrinology, 38//(9), 1521-1531. https://doi.org/10.1016/j.psyneuen.2012.12.021
Lynch, S., Gander, M.L., Kohls, N., Kudielka, B., & Walach, H. (2011). Mindfulness-based coping with university life: A non-randomized wait-list-controlled pilot evaluation. //Stress and Health, 27//(5), 365-375. https://doi.org/10.1002/smi.1382
Miodrag, N., Lense, M.D., & Dykens, E.M. (2013). A pilot study of a mindfulness intervention for individuals with Williams syndrome: Physiological outcomes. //Mindfulness, 4//(2), 137-147. https://doi.org/10.1007/s12671-012-0178-2
O'Leary, K., O'Neill, S., & Dockray, S. (2016). A systematic review of the effects of mindfulness interventions on cortisol. //Journal of Health Psychology, 21//(9), 2108-2121. https://doi.org/10.1177/1359105315569095
Pace, T.W.W., Negi, L.T., Adame, D.D., Cole, S.P., Sivilli, T.I., Brown, T.D., ... & Raison, C.L. (2009). Effect of compassion meditation on neuroendocrine, innate immune and behavioral responses to psychosocial stress. //Psychoneuroendocrinology, 34//(1), 87-98. https://doi.org/10.1016/j.psyneuen.2008.08.011
Pace, T.W.W., Negi, L.T., Sivilli, T.I., Issa, M.J., Cole, S.P., Adame, D.D., ... & Raison, C.L. (2010). Innate immune, neuroendocrine and behavioral responses to psychosocial stress do not predict subsequent compassion meditation practice time. //Psychoneuroendocrinology, 35//(2), 310-315. https://doi.org/10.1016/j.psyneuen.2009.06.008
Robinson, M.D., Ode, S., & Hilmert, C.J. (2014). Cortisol reactivity in the laboratory predicts ineffectual attentional control in daily life. //Psychology & Health, 29//(7), 781-795. https://doi.org/10.1080/08870446.2014.884224
Ruiz-Robledillo, N., Sarinana-Gonzalez, P., Perez-Blasco, J., Gonzalez-Bono, E., & Moya-Albiol, L. (2015). A mindfulness-based program improves health in caregivers of people with autism spectrum disorder: A pilot study. //Mindfulness, 6//(4), 767-777. https://doi.org/10.1007/s12671-014-0316-0
Sanada, K., Montero-Marin, J., Diez, M.A., Salas-Valero, M., Perez-Yus, M.C., Morillo, H., ... & Garcia-Campayo, J. (2016). Effects of mindfulness-based interventions on salivary cortisol in healthy adults: A meta-analytical review. //Frontiers in Physiology, 7//, 171. https://doi.org/10.3359/fphys.2016.00/171
Tang, Y.Y., Tang, R.X., & Posner, M.I. (2016). Mindfulness meditation improves emotion regulation and reduces drug abuse. //Drug and Alcohol Dependence, 163//, S13-S18. https://doi.org/10.1016/j.drugalcdep.2015.11.041
Wetherell, J.L., Hershey, T., Hickman, S., Tate, S.R., Dixon, D., Bower, E.S., ... & Lenze, E.J. (2017). Mindfulness-based stress reduction for older adults with stress disorders and neurocognitive difficulties: A randomized controlled trial. //Journal of Clinical Psychiatry, 78//(7), E734-E743. https://doi.org/10.4088/JCP.16m10947
Younge, J.O., Wester, V.L., van Rossum, E.F.C., Gotink, R.A., Wery, M.F., Utens, E.M.W.J., ... & Roos-Hesselink, J.W. (2015). Cortisol levels in scalp hair of patients with structural heart disease. //International Journal of Cardiology, 184//, 71-78. https://doi.org/10.1016/j.ijcard.2015.02.005
Zimmaro, L.A., Salmon, P., Naidu, H., Rowe, J., Phillips, K., Rebholz, W.N., ... & Sephton, S.E. (2016). Association of dispositional mindfulness with stress, cortisol, and well-being among university undergraduate students. //Mindfulness, 7//(4), 874-885. https://doi.org/10.1007/s12671-016-0526-8
Alberts, H.J.E.M., Mulkens, S., Smeets, M., & Thewissen, R. (2010). Coping with food cravings. investigating the potential of a mindfulness-based intervention. //Appetite, 55//(1), 160-163. https://doi.org/10.1016/j.appet.2010.05.044
Alberts, H.J.E.M., Thewissen, R., & Middelweerd, M. (2013). Accepting or suppressing the desire to eat: Investigating the short-term effects of acceptance-based craving regulation. //Eating Behaviors, 14//(3), 405-409. https://doi.org/10.1016/j.eatbeh.2013.06.008
Ardame, A., Bassaknejad, S., Zargard, Y., Rokni, P., & Sayyah, M. (2014). Examine the relationship between mindfulness and drug craving in addicts undergoing methadone maintenance treatment. //Iranian Journal of Public Health, 43//(3), 349-354.
Chakroun-Baggioni, N., Corman, M., Spada, M.M., Caselli, G., & Gierski, F. (2017). Desire thinking as a confounder in the relationship between mindfulness and craving: Evidence from a cross-cultural validation of the desire thinking questionnaire. //Psychiatry Research, 256//, 188-193. https://doi.org/10.1016/j.psychres.2017.06.051
Dulin, P.L., & Gonzalez, V.M. (2017). Smartphone-based, momentary intervention for alcohol cravings amongst individuals with an alcohol use disorder. //Psychology of Addictive Behaviors, 31//(5), 601-607. https://doi.org/10.1037/adb0000292
Enkema, M.C., & Bowen, S. (2017). Mindfulness practice moderates the relationship between craving and substance use in a clinical sample. //Drug and Alcohol Dependence, 179//, 1-7. https://doi.org/10.1016/j.drugalcdep.2017.05.036
Forman, E.M., Hoffman, K.L., Juarascio, A.S., Butryn, M.L., & Herbert, J.D. (2013). Comparison of acceptance-based and standard cognitive-based coping strategies for craving sweets in overweight and obese women. //Eating Behaviors, 14//(1), 64-68. https://doi.org/10.1016/j.eatbeh.2012.10.016
Garland, E.L., & Roberts-Lewis, A. (2013). Differential roles of thought suppression and dispositional mindfulness in posttraumatic stress symptoms and craving. //Addictive Behaviors, 38//(2), 1555-1562. https://doi.org/10.1016/j.addbeh.2012.02.004
Garland, E.L., Froeliger, B., & Howard, M.O. (2014). Effects of mindfulness-oriented recovery enhancement on reward responsiveness and opioid cue-reactivity. //Psychopharmacology, 231//(16), 3229-3238. https://doi.org/10.1007/s00213-014-3504-7
Grow, J.C., Collins, S.E., Harrop, E.N., & Marlatt, G.A. (2015). Enactment of home practice following mindfulness-based relapse prevention and its association with substance-use outcomes. //Addictive Behaviors, 40//, 16-20. https://doi.org/10.1016/j.addbeh.2014.07.030
Hamilton, J., Fawson, S., May, J., Andrade, J., & Kavanagh, D.J. (2013). Brief guided imagery and body scanning interventions reduce food cravings. //Appetite, 71//, 158-162. https://doi.org/10.1016/j.appet.2013.08.005
Lacaille, J., Ly, J., Zacchia, N., Bourkas, S., Glaser, E., & Knauper, B. (2014). The effects of three mindfulness skills on chocolate cravings. //Appetite, 76//, 101-112. https://doi.org/10.1016/j.appet.2014.01.072
Murphy, C.M., & MacKillop, J. (2014). Mindfulness as a strategy for coping with cue-elicited cravings for alcohol: An experimental examination. //Alcoholism: Clinical and Experimental Research, 38//(4), 1134-1142. https://doi.org/10.1111/acer.12322
Nosen, E., & Woody, S.R. (2013). Brief psycho-education affects circadian variability in nicotine craving during cessation. //Drug and Alcohol Dependence, 132//(1-2), 283-289. https://doi.org/10.1016/j.drugalcdep.2013.02.017
Papies, E.K., van Winckel, M., & Keesman, M. (2016). Food-specific decentering experiences are associated with reduced food cravings in meditators: A preliminary investigation. //Mindfulness, 7//(5), 1123-1131. https://doi.org/10.1007/s12671-016-0554-4
Roggi, P.M.D., da Gama, M.F.N., Neves, F.S., & Garcia, F. (2015). Update on treatment of craving in patients with addiction using cognitive behavioral therapy. //Clinical Neuropsychiatry, 12//(5), 118-127.
Rogojanski, J., Vettese, L.C., & Antony, M.M. (2011). Role of sensitivity to anxiety symptoms in responsiveness to mindfulness versus suppression strategies for coping with smoking cravings. //Journal of Clinical Psychology, 67//(4), 439-445. https://doi.org/10.1002/jclp.20774
Witkiewitz, K., & Bowen, S. (2010). Depression, craving, and substance use following a randomized trial of mindfulness-based relapse prevention. //Journal of Consulting and Clinical Psychology, 78//(3), 362-374. https://doi.org/10.1037/a0019172
Witkiewitz, K., Bowen, S., Douglas, H., & Hsu, S.H. (2013). Mindfulness-based relapse prevention for substance craving. //Addictive Behaviors, 38//(2), 1563-1571. https://doi.org/10.1016/j.addbeh.2012.04.001
Argus, G., & Thompson, M. (2008). Perceived social problem solving, perfectionism, and mindful awareness in clinical depression: An exploratory study. //Cognitive Therapy and Research, 32//(6), 745-757. https://doi.org/10.1007/s10608-006-9102-1
Baas, M., Nevicka, B., & Ten Velden, F.S. (2014). Specific mindfulness skills differentially predict creative performance. //Personality and Social Psychology Bulletin, 40//(9), 1092-1106. https://doi.org/10.1177/0146167214535813
Ding, X.Q., Tang, Y.Y., Tang, R.X., & Posner, M.I. (2014). Improving creativity performance by short-term meditation. //Behavioral and Brain Functions, 10//. https://doi.org/10.1186/1744-9081-10-9
Ellamil, M., Fox, K.C.R., Dixon, M.L., Pritchard, S., Todd, R.M., Thompson, E., ... & Christoff, K. (2016). Dynamics of neural recruitment surrounding the spontaneous arising of thoughts in experienced mindfulness practitioners. //Neuroimage, 136//, 186-196. https://doi.org/10.1016/j.neuroimage.2016.04.034
Haller, C.S., Bosma, C.M., Kapur, K., Zafonte, R., & Langer, E.J. (2017). Mindful creativity matters: Trajectories of reported functioning after severe traumatic brain injury as a function of mindful creativity in patients' relatives: A multilevel analysis. //Quality of Life Research, 26//(4), 893-902. https://doi.org/10.1007/s11136-016-1416-1
Kuypers, K.P.C., Riba, J., Revenga, M.D., Barker, S., Theunissen, E.L., & Ramaekers, J.G. (2016). Ayahuasca enhances creative divergent thinking while decreasing conventional convergent thinking. //Psychopharmacology, 233//(18), 3395-3403. https://doi.org/10.1007/s00213-016-4377-8
Muller, B.C.N., Gerasimova, A., & Ritter, S.M. (2016). Concentrative meditation influences creativity by increasing cognitive flexibility. //Psychology of Aesthetics Creativity and the Arts, 10//(3), 278-286. https://doi.org/10.1037/a0040335
Ostafin, B.D., & Kassman, K.T. (2012). Stepping out of history: Mindfulness improves insight problem solving. //Consciousness and Cognition, 21//(2), 1031-1036. https://doi.org/10.1016/j.concog.2012.02.014
Ottaviani, C., & Couyoumdjian, A. (2013). Pros and cons of a wandering mind: A prospective study. //Frontiers in Psychology, 4//, 524. https://doi.org/10.3389/fpsyg.2013.00524
Ruby, F.J.M., Smallwood, J., Sackur, J., & Singer, T. (2013). Is self-generated thought a means of social problem solving?. //Frontiers in Psychology, 4//,0962. https://doi.org/10.3389/fpsyg.2013.00962
Sampedro, F., Revenga, M.D., Valle, M., Roberto, N., Dominguez-Clave, E., Elices, M., ... & Riba, J. (2017). Assessing the psychedelic "after-glow" in Ayahuasca users: Post-acute neurometabolic and functional connectivity changes are associated with enhanced mindfulness capacities. //International Journal of Neuropsychopharmacology, 20//(9), 698-711. https://doi.org/10.1093/ijnp/pyx036
Soler, J., Elices, M., Franquesa, A., Barker, S., Friedlander, P., Feilding, A., ... & Riba, J. (2016). Exploring the therapeutic potential of Ayahuasca: Acute intake increases mindfulness-related capacities. //Psychopharmacology, 233//(5), 823-829. https://doi.org/10.1007/s00213-015-4162-0
Zabelina, D.L., Robinson, M.D., Ostafin, B.D., & Council, J.R. (2011). Manipulating mindfulness benefits creative elaboration at high levels of neuroticism. //Empirical Studies of the Arts, 29//(2), 243-255. https://doi.org/10.2190/EM.29.2.g
Zedelius, C.M., & Schooler, J.W. (2015). Mind wandering “Ahas” versus mindful reasoning: alternative routes to creative solutions //Frontiers in Psychology, 6//,0834. https://doi.org/10.3389/fpsyg.2015.00834
Zedelius, C.M., & Schooler, J.W. (2016). The richness of inner experience: Relating styles of daydreaming to creative processes. //Frontiers in Psychology, 6//, 2063. https://doi.org/10.3389/fpsyg.2015.02063
Dietz, J., Fitzsimmons, S.R., Aycan, Z., Francesco, A.M., Jonsen, K., Osland, J., ... & Boyacigiller, N.A. (2017). Cross-cultural management education rebooted creating positive value through scientific mindfulness. //Cross Cultural & Strategic Management, 24//(1), 125-151. https://doi.org/10.1108/CCSM-01-2016-0010
Ghorbani, N., Watson, P.J., & Weathington, B.L. (2009). Mindfulness in Iran and the United States: Cross-cultural structural complexity and parallel relationships with psychological adjustment. //Current Psychology, 28//(4), 211-224. https://doi.org/10.1007/s12144-009-9060-3
Huang, Z.M., Fay, R., & White, R. (2017). Mindfulness and the ethics of intercultural knowledge-work. //Language and Intercultural Communication, 17//(1), 45-57. https://doi.org/10.1080/14708477.2017.1261672
Jankowski, P.J., & Sandage, S.J. (2014). Meditative prayer and intercultural competence: Empirical test of a differentiation-based model. //Mindfulness, 5//(4), 360-372. https://doi.org/10.1007/s12671-012-0189-z
Kashima, E.S., Greiner, T., Sadewo, G., Ampuni, S., Helou, L., Nguyen, V.A., ... & Kaspar, K. (2017). Open- and closed-mindedness in cross-cultural adaptation: The roles of mindfulness and need for cognitive closure. //International Journal of Intercultural Relations, 59//, 31-42. https://doi.org/10.1016/j.ijintrel.2017.05.001
Kaufman, S.R., & Hwang, A. (2015). Cultural intelligence and mindfulness in two French banks operating in the US environment. //Management Research Review, 38//(9), 930-951. https://doi.org/10.1108/MRR-02-2014-0035
Leong, F.T.L. (1996). Toward an integrative model for cross-cultural counseling and psychotherapy. //Applied & Preventive Psychology, 5//(4), 189-209. https://doi.org/10.1016/S0962-1849(96)80012-6
Tili, T.R., & Barker, G.G. (2015). Communication in intercultural marriages: Managing cultural differences and conflicts. //Southern Communication Journal, 80//(3), 189-210. https://doi.org/10.1080/1041794X.2015.1023826
Trahar, S., & Hyland, F. (2011). Experiences and perceptions of internationalisation in higher education in the UK. //Higher Education Research & Development, 30//(5), 623-633. https://doi.org/10.1080/07294360.2011.598452
Kashdan, T.B., Afram, A., Brown, K.W., Birnbeck, M., & Drvoshanov, M. (2011). Curiosity enhances the role of mindfulness in reducing defensive responses to existential threat. //Personality and Individual Differences, 50//(8), 1227-1232. https://doi.org/10.1016/j.paid.2011.02.015
Kashdan, T.B., Gallagher, M.W., Silvia, P.J., Winterstein, B.P., Breen, W.E., Terhar, D., ... & Steger, M.F. (2009). The Curiosity and Exploration Inventory-II: Development, factor structure, and psychometrics. //Journal of Research in Personality, 43//(6), 987-998. https://doi.org/10.1016/j.jrp.2009.04.011
Barber, N.A., & Deale, C. (2014). Tapping mindfulness to shape hotel guests' sustainable behavior. //Cornell Hospitality Quarterly, 55//(1), 100-114. https://doi.org/10.1177/1938965513496315
Bevan, A.L., Maxfield, M., & Bultmann, M.N. (2014). The effects of age and death awareness on intentions for healthy behaviours. //Psychology & Health, 29//(4), 405-421. https://doi.org/10.1080/08870446.2013.859258
Cacciatore, J. (2013). Psychological effects of stillbirth. //Seminars in Fetal & Neonatal Medicine, 18//(2), 76-82. https://doi.org/10.1016/j.siny.2012.09.001
Cacciatore, J., Thieleman, K., Killian, M., & Tavasolli, K. (2015). Braving human suffering: Death education and its relationship to empathy and mindfulness. //Social Work education, 34//(1), 91-109. https://doi.org/10.1080/02615479.2014.940890
Crosby, K., Skilton, A., & Gunasena, A. (2012). The Sutta on understanding death in the transmission of Boran meditation from Siam to the kandyan court. //Journal of Indian Philosophy, 40//(2), 177-198. https://doi.org/10.1007/s10781-011-9151-y
Deo, G., Kumar, I.R., Srinivasan, T.M., & Kushwah, K.K. (2015). Changes in electrophotonic imaging parameters associated with long term meditators and naive meditators in older adults practicing meditation. //European Journal of Integrative Medicine, 7//(6), 663-668. https://doi.org/10.1016/j.eujim.2015.08.004
Donovan, E., Rodgers, R.F., Cousineau, T.M., McGowan, K.M., Luk, S., Yates, K., ... & Franko, D.L. (2016). Brief report: Feasibility of a mindfulness and self-compassion based mobile intervention for adolescents. //Journal of Adolescence, 53//, 217-221. https://doi.org/10.1016/j.adolescence.2016.09.009
Garcia, I.P., Sanchez, C.M., Espilez, A.S., Garcia-Magarino, I., Guillen, G.A., & Garcia-Campayo, J. (2017). Development and initial evaluation of a mobile application to help with mindfulness training and practice. //International Journal of Medical Informatics, 105//, 59-67. https://doi.org/10.1016/j.ijmedinf.2017.05.018
Guixeres, J., Bigne, E., Azofra, J.M.A., Raya, M.A., Granero, A.C., Hurtado, F.F., ... & Ornedo, V.N. (2017). Consumer neuroscience-based metrics predict recall, liking and viewing rates in online advertising. //Frontiers in Psychology, 8//, 1808. https://doi.org/10.3389/fpsyg.2017.01808
Howells, A., Ivtzan, I., & Eiroa-Orosa, F.J. (2016). Putting the 'app' in happiness: A randomised controlled trial of a smartphone-based mindfulness intervention to enhance wellbeing. //Journal of Happiness Studies, 17//(1), 163-185. https://doi.org/10.1007/s10902-014-9589-1
Howes, M. (2016). Fitness, well-being, and preparation for death. //International Journal of Feminist Approaches to Bioethics, 9//(2), 115-140. https://muse.jhu.edu/article/631101
Kang, Y.N., O'Donnell, M.B., Strecher, V.J., & Falk, E.B. (2017). Dispositional mindfulness predicts adaptive affective responses to health messages and increased exercise motivation. //Mindfulness, 8//(2), 387-397. https://doi.org/10.1007/s12671-016-0608-7
Kristjansdottir, O.B., Fors, E.A., Eide, E., Finset, A., van Dulmen, S., Wigers, S.H., ... & Eide, H. (2011). Written online situational feedback via mobile phone to support self-management of chronic widespread pain: A usability study of a web-based intervention. //BMC Musculoskeletal Disorders, 12//, 51. https://doi.org/10.1186/1471-2474-12-51
Laurie, J., & Blandford, A. (2016). Making time for mindfulness. //International Journal of Medical Informatics, 96//, 38-50. https://doi.org/10.1016/j.ijmedinf.2016.02.010
Lee, Y.H., Hsieh, Y.J., Shiah, Y.J., Lin, Y.H., Chen, C.Y., Tyan, Y.C., ... & Chen, S.C.J. (2017). A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers. //Medicine, 96//(16), e6612. https://doi.org/10.1097/MD.0000000000006612
Leece, P., Cavacuiti, C., Macdonald, E.M., Gomes, T., Kahan, M., Srivastava, A., ... & Juurlink, D.N. (2015). Predictors of Opioid-related death during methadone therapy. //Journal of Substance Abuse Treatment, 57//, 30-35. https://doi.org/10.1016/j.jsat.2015.04.008
Liu, Q.Q., Zhou, Z.K., Yang, X.J., Kong, F.C., Niu, G.F., & Fan, C.Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model. //Computers in Human Behavior, 72//, 108-114. https://doi.org/10.1016/j.chb.2017.02.042
Lutz, J., Bruhl, A.B., Scheerer, H., Jancke, L., & Herwig, U. (2016). Neural correlates of mindful self-awareness in mindfulness meditators and meditation-naive subjects revisited. //Biological Psychology, 119//, 21-30. https://doi.org/10.1016/j.biopsycho.2016.06.010
Ly, K.H., Truschel, A., Jarl, L., Magnusson, S., Windahl, T., Johansson, R., ... & Andersson, G. (2014). Behavioural activation versus mindfulness-based guided self-help treatment administered through a smartphone application: A randomised controlled trial. //BMJ Open, 4//(1), e003440. https://doi.org/10.1136/bmjopen-2013-003440
Miller, M.M., & Brannon, L.A. (2017). Testing mindfulness-based acceptance against implementation intentions to discourage counterintentional cell phone use. //Mindfulness, 8//(5), 1212-1224. https://doi.org/10.1007/s12671-017-0694-1
Niemiec, C.P., Brown, K.W., Kashdan, T.B., Cozzolino, P.J., Breen, W.E., Levesque-Bristol, C., ... & Ryan, R.M. (2010). Being present in the face of existential threat: The role of trait mindfulness in reducing defensive responses to mortality salience. //Journal of Personality and social psychology, 99//(2), 344-365. https://doi.org/10.1037/a0019388
Prada, P., Zamberg, I., Bouillault, G., Jimenez, N., Zimmermann, J., Hasler, R., ... & Perroud, N. (2017). Emoteo: A smartphone application for monitoring and reducing aversive tension in borderline personality disorder patients, a pilot study. //Perspectives in Psychiatric Care, 53//(4), 289-298. https://doi.org/10.1111/ppc.12178
Ramsey, A.T., Wetherell, J.L., Depp, C., Dixon, D., & Lenze, E. (2016). Feasibility and acceptability of smartphone assessment in older adults with cognitive and emotional difficulties. //Journal of Technology in Human Services, 34//(2), 209-223. https://doi.org/10.1080/15228835.2016.1170649
Scherwitz, L., Pullman, M., McHenry, P., Gao, B., & Ostaseski, F. (2006). A contemplative care approach to training and supporting hospice volunteers: A prospective study of spiritual practice, well-being, and fear of death. //Explore: The Journal of Science and Healing, 2//(4), 304-313. https://doi.org/10.1016/j.explore.2006.04.001
Shand, F.L., Ridani, R., Tighe, J., & Christensen, H. (2013). The effectiveness of a suicide prevention app for indigenous Australian youths: Study protocol for a randomized controlled trial. //Trials, 14//, 396. https://doi.org/10.1186/1745-6215-14-396
Stella, M. (2016). Befriending death: A mindfulness-based approach to cultivating self-awareness in counselling students. //Death Studies, 40//(1), 32-39. https://doi.org/10.1080/07481187.2015.1056566
Stjernsward, S., & Hansson, L. (2017). User value and usability of a web-based mindfulness intervention for families living with mental health problems. //Health & Social Care in the Community, 25//(2), 700-709. https://doi.org/10.1111/hsc.12360
Tanay, G., & Bernstein, A. (2013). State mindfulness scale (SMS): Development and initial validation. //Psychological Assessment, 25//(4), 1286-1299. https://doi.org/10.1037/a0034044
Taylor, J.A., Sims, J., & Hill, H. (2015). //Reflective Practice and its relationship to mindfulness, situation/movement awareness and person-centredness during mobility care in nursing homes: A discussion paper. Reflective practice, 16//(4), 449-458. https://doi.org/10.1080/14623943.2015.1052386
Trub, L., & Starks, T.J. (2017). Textual healing: Proof of concept study examining the impact of a mindfulness intervention on smartphone behavior. //Mindfulness, 8//(5), 1225-1235. https://doi.org/10.1007/s12671-017-0697-y
Van Gemert-Pijnen, J.E.W.C., Kelders, S.M., & Bohlmeijer, E.T. (2014). Understanding the usage of content in a mental health intervention for depression: An analysis of log data. //Journal of Medical Internet Research, 16//(1), e27. https://doi.org/10.2196/jmir.2991
Wen, L., Sweeney, T.E., Welton, L., Trockel, M., & Katznelson, L. (2017). Encouraging mindfulness in medical house staff via smartphone app: A pilot study. //Academic Psychiatry, 41//(5), 646-650. https://doi.org/10.1007/s40596-017-0768-3
Womack, V.Y., & Sloan, L.R. (2017). The association of mindfulness and racial socialization messages on approach-oriented coping strategies among African Americans. //Journal of Black Studies, 48//(4), 408-426. https://doi.org/10.1177/0021934717696789
Bieling, P.J., Hawley, L.L., Bloch, R.T., Corcoran, K.M., Levitan, R.D., Young, L.T., ... & Segal, Z.V. (2012). Treatment-specific changes in decentering following mindfulness-based cognitive therapy versus antidepressant medication or placebo for prevention of depressive relapse. //Journal of Consulting and Clinical Psychology, 80//(3), 365-372. https://doi.org/10.1037/a0027483
Brown, D.B., Bravo, A.J., Roos, C.R., & Pearson, M.R. (2015). Five facets of mindfulness and psychological health: Evaluating a psychological model of the mechanisms of mindfulness. //Mindfulness, 6//(5), 1021-1032. https://doi.org/10.1007/s12671-014-0349-4
Eftekhari, E., Tran, A., & McGregor, I. (2017). Decentering increases approach motivation among distressed individuals. //Personality and Individual Differences, 119//, 236-241. https://doi.org/10.1016/j.paid.2017.07.035
Feldman, G., Greeson, J., & Senville, J. (2010). Differential effects of mindful breathing, progressive muscle relaxation, and loving-kindness meditation on decentering and negative reactions to repetitive thoughts. //Behaviour Research and Therapy, 48//(10), 1002-1011. https://doi.org/10.1016/j.brat.2010.06.006
Franquesa, A., Cebolla, A., Garcia-Campayo, J., Demarzo, M., Elices, M., Pascual, J.C., ... & Soler, J. (2017). Meditation practice is associated with a values-oriented life: The mediating role of decentering and mindfulness. //Mindfulness, 8//(5), 1259-1268. https://doi.org/10.1007/s12671-017-0702-5
Fresco, D.M., Moore, M.T., van Dulmen, M.H.M., Segal, Z.V., Ma, S.H., Teasdale, J.D., ... & Williams, J.M.G. (2007). Initial psychometric properties of the experiences questionnaire: Validation of a self-report measure of decentering. //Behavior Therapy, 38//(3), 234-246. https://doi.org/10.1016/j.beth.2006.08.003
Gecht, J., Kessel, R., Mainz, V., Gauggel, S., Drueke, B., Scherer, A., ... & Forkmann, T. (2014). Measuring decentering in self-reports: Psychometric properties of the experiences questionnaire in a German sample. //Psychotherapy Research, 24//(1), 67-79. https://doi.org/10.1080/10503307.2013.821635
Gregorio, S., Pinto-Gouveia, J., Duarte, C., & Simoes, L. (2015). Expanding research on decentering as measured by the Portuguese version of the Experiences questionnaire. //Spanish Journal of Psychology, 18//. https://doi.org/10.1017/sjp.2015.18
Hayes-Skelton, S., & Graham, J. (2013). Decentering as a common link among mindfulness, cognitive reappraisal, and social anxiety. //Behavioural and Cognitive Psychotherapy, 41//(3), 317-328. https://doi.org/10.1017/S1352465812000902
Hayes-Skelton, S.A., Calloway, A., Roemer, L., & Orsillo, S.M. (2015). Decentering as a potential common mechanism across two therapies for generalized anxiety disorder. //Journal of Consulting and Clinical Psychology, 83//(2), 395-404. https://doi.org/10.1037/a0038305
Hoge, E.A., Bui, E., Goetter, E., Robinaugh, D.J., Ojserkis, R.A., Fresco, D.M., ... & Simon, N.M. (2015). Change in decentering mediates improvement in anxiety in mindfulness-based stress reduction for generalized anxiety disorder. //Cognitive Therapy and Research, 39//(2), 228-235. https://doi.org/10.1007/s10608-014-9646-4
Isbel, B., & Mahar, D. (2015). Cognitive mechanisms of mindfulness: A test of current models. //Consciousness and Cognition, 38//, 50-59. https://doi.org/10.1016/j.concog.2015.10.005
Josefsson, T., Lindwall, M., & Broberg, A.G. (2014). The effects of a short-term mindfulness based intervention on self-reported mindfulness, decentering, executive attention, psychological health, and coping style: Examining unique mindfulness effects and mediators. //Mindfulness, 5//(1), 18-35. https://doi.org/10.1007/s12671-012-0142-1
Kaiser, R.H., Andrews-Hanna, J.R., Metcalf, C.A., & Dimidjian, S. (2015). Dwell or decenter? rumination and decentering predict working memory updating after interpersonal criticism. //Cognitive Therapy and Research, 39//(6), 744-753. https://doi.org/10.1007/s10608-015-9697-1
Lo, C.S.L., Ho, S.M.Y., Yu, N.K.K., & Siu, B.P.Y. (2014). Decentering mediates the effect of ruminative and experiential self-focus on negative thinking in depression. //Cognitive Therapy and Research, 38//(4), 389-396. https://doi.org/10.1007/s10608-014-9603-2
McCracken, L.M., Barker, E., & Chilcot, J. (2014). Decentering, rumination, cognitive defusion, and psychological flexibility in people with chronic pain. //Journal of Behavioral Medicine, 37//(6), 1215-1225. https://doi.org/10.1007/s10865-014-9570-9
McCracken, L.M., Gutierrez-Martinez, O., & Smyth, C. (2013). Decentering reflects psychological flexibility in people with chronic pain and correlates with their quality of functioning. //Health Psychology, 32//(7), 820-823. https://doi.org/10.1037/a0028093
Naragon-Gainey, K., & DeMarree, K.G. (2017). Decentering attenuates the associations of negative affect and positive affect with psychopathology. //Clinical Psychological Science, 5//(6), 1027-1047. https://doi.org/10.1177/2167702617719758
Naragon-Gainey, K., & DeMarree, K.G. (2017). Structure and validity of measures of decentering and defusion. //Psychological Assessment, 29//(7), 935-954. https://doi.org/10.1037/pas0000405
Palmeira, L., Trindade, I.A., & Ferreira, C. (2014). Can the impact of body dissatisfaction on disordered eating be weakened by one's decentering abilities?. //Eating Behaviors, 15//(3), 392-396. https://doi.org/10.1016/j.eatbeh.2014.04.012
Papies, E.K., van Winckel, M., & Keesman, M. (2016). Food-specific decentering experiences are associated with reduced food cravings in meditators: A preliminary investigation. //Mindfulness, 7//(5), 1123-1131. https://doi.org/10.1007/s12671-016-0554-4
Pearson, M.R., Brown, D.B., Bravo, A.J., & Witkiewitz, K. (2015). Staying in the moment and finding purpose: The associations of trait mindfulness, decentering, and purpose in life with depressive symptoms, anxiety symptoms, and alcohol-related problems. //Mindfulness, 6//(3), 645-653. https://doi.org/10.1007/s12671-014-0300-8
Shepherd, K.A., Coifman, K.G., Matt, L.M., & Fresco, D.M. (2016). Development of a self-distancing task and initial validation of responses. //Psychological Assessment, 28//(7), 841-855. https://doi.org/10.1037/pas0000297
Shoham, A., Goldstein, P., Oren, R., Spivak, D., & Bernstein, A. (2017). Decentering in the process of cultivating mindfulness: An experience-sampling study in time and context. //Journal of Consulting and Clinical Psychology, 85//(2), 123-134. https://doi.org/10.1037/ccp0000154
Soler, J., Franquesa, A., Feliu-Soler, A., Cebolla, A., Garcia-Campayo, J., Tejedor, R., ... & Porte, M.J. (2014). Assessing decentering: Validation, psychometric properties, and clinical usefulness of the Experiences questionnaire in a Spanish sample. //Behavior Therapy, 45//(6), 863-871.
Vago, D.R., & Nakamura, Y. (2011). Selective attentional bias towards pain-related threat in fibromyalgia: Preliminary evidence for effects of mindfulness meditation training. //Cognitive Therapy and Research, 35//(6), 581-594. https://doi.org/10.1007/s10608-011-9391-x
Zhang, C.Q., Chung, P.K., Si, G.Y., & Gucciardi, D.F. (2016). Measuring decentering as a unidimensional construct: The development and initial validation of the Decentering Scale for Sport. //Psychology of Sport and Exercise, 24//, 147-158. https://doi.org/10.1016/j.psychsport.2016.02.006
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2012). Mindfulness-induced changes in gamma band activity - implications for the default mode network, self-reference and attention. //Clinical Neurophysiology, 123//(4), 700-710. https://doi.org/10.1016/j.clinph.2011.07.048
Berkovich-Ohana, A., Glicksohn, J., Ben-Soussan, T.D., & Goldstein, A. (2017). Creativity is enhanced by long-term mindfulness training and is negatively correlated with trait default-mode-related low-gamma inter-hemispheric connectivity. //Mindfulness, 8//(3), 717-727. https://doi.org/10.1007/s12671-016-0649-y
Fingelkurts, A.A., Fingelkurts, A.A., & Kallio-Tamminen, T. (2016). Long-term meditation training induced changes in the operational synchrony of default mode network modules during a resting state. //Cognitive Processing, 17//(1), 27-37. https://doi.org/10.1007/s10339-015-0743-4
Fingelkurts, A.A., Fingelkurts, A.A., & Kallio-Tamminen, T. (2016). Trait lasting alteration of the brain default mode network in experienced meditators and the experiential selfhood. //Self and Identity, 15//(4), 381-393. https://doi.org/10.1080/15298868.2015.1136351
Froeliger, B., Garland, E.L., Kozink, R.V., Modlin, L.A., Chen, N.K., McClernon, F.J., ... & Sobin, P. (2012). Meditation-state functional connectivity (MSFC): Strengthening of the dorsal attention network and beyond. //Evidence-based Complementary and Alternative Medicine//, 680407. https://doi.org/10.1155/2012/680407
Marstaller, L., Burianova, H., & Reutens, D.C. (2017). Adaptive contextualization: A new role for the default mode network in affective learning. //Human Brain Mapping, 38//(2), 1082-1091. https://doi.org/10.1002/hbm.23442
Marzetti, L., Di Lanzo, C., Zappasodi, F., Chella, F., Raffone, A., & Pizzella, V. (2014). Magnetoencephalographic alpha band connectivity reveals differential default mode network interactions during focused attention and open monitoring meditation. //Frontiers in Human Neuroscience, 8//,832. https://doi.org/10.3389/tnhum.2014.00832
Scheibner, H.J., Bogler, C., Gleich, T., Haynes, J.D., & Bermpohl, F. (2017). Internal and external attention and the default mode network. //Neuroimage, 148//, 381-389. https://doi.org/10.1016/j.neuroimage.2017.01.044
Simon, R., & Engstrom, M. (2015). The default mode network as a biomarker for monitoring the therapeutic effects of meditation. //Frontiers in Psychology, 6//,776. https://doi.org/10.3389/fpsyg.2015.00776
Tops, M., Boksem, M.A.S., Quirin, M., IJzerman, H., & Koole, S.L. (2014). Internally directed cognition and mindfulness: An integrative perspective derived from predictive and reactive control systems theory. //Frontiers in Psychology, 5//,429. https://doi.org/10.3389/fpsyg.2014.00429
Wang, X., Xu, M., Song, Y., Li, X., Zhen, Z., Yang, Z., ... & Liu, J. (2014). The network property of the thalamus in the default mode network is correlated with trait mindfulness. //Neuroscience, 278//, 291-301. https://doi.org/10.1016/j.neuroscience.2014.08.006
Blackledge, J.T. (2007). Disrupting verbal processes: Cognitive defusion in acceptance and commitment therapy and other mindfulness-based psychotherapies. //Psychological Record, 57//(4), 555-576. http://dx.doi.org/10.1007/BF03395595
Hesser, H., Westin, V., Hayes, S.C., & Andersson, G. (2009). Clients' in-session acceptance and cognitive defusion behaviors in acceptance-based treatment of tinnitus distress. //Behaviour Research and Therapy, 47//(6), 523-528. https://doi.org/10.1016/j.brat.2009.02.002
Masud, A., Twohig, M.P., Stormo, A.R., Feinstein, A.B., Chou, Y.Y., & Wendell, J.W. (2010). The effects of cognitive defusion and thought distraction on emotional discomfort and believability of negative self-referential thoughts. //Journal of Behavior Therapy and Experimental Psychiatry, 41//(1), 11-17. https://doi.org/10.1016/j.jbtep.2009.08.006
Masuda, A., Hayes, S.C., Sackett, C.F., & Twohig, M.P. (2004). Cognitive defusion and self-relevant negative thoughts: Examining the impact of a ninety year old technique. //Behaviour Research and Therapy, 42//(4), 477-485. https://doi.org/10.1016/j.brat.2003.10.008
McCracken, L.M., Barker, E., & Chilcot, J. (2014). Decentering, rumination, cognitive defusion, and psychological flexibility in people with chronic pain. //Journal of Behavioral Medicine, 37//(6), 1215-1225. https://doi.org/10.1007/s10865-014-9570-9
Naragon-Gainey, K., & DeMarree, K.G. (2017). Structure and validity of measures of decentering and defusion. //Psychological Assessment, 29//(7), 935-954. https://doi.org/10.1037/pas0000405
Caldwell, J.M., & Patterson-Kane, L. (2014). The treatment of comorbid anxiety in a male with poorly controlled diabetes in a very remote primary health care service. //Clinical Case Studies, 13//(3), 250-264. https://doi.org/10.1177/1534650113507992
Caluyong, M.B., Zambrana, A.F., Romanow, H.C., Nathan, H.J., Nahas, R., & Poulin, P.A. (2015). The relationship between mindfulness, depression, diabetes self-care, and health-related quality of life in patients with type 2 diabetes. //Mindfulness, 6//(6), 1313–1321. https://doi.org/10.1007/s12671-015-0401-z
Dreger, L.C., Mackenzie, C., & McLeod, B. (2015). Acceptability and suitability of mindfulness training for diabetes management in an indigenous community. //Mindfulness, 6//(4). https://doi.org/10.1007/s12671-014-0332-0
Dreger, L.C., Mackenzie, C., & McLeod, B. (2015). Feasibility of a mindfulness-based intervention for aboriginal adults with type 2 diabetes. //Mindfulness, 6//(2), 264-280. https://doi.org/10.1007/s12671-013-0257-z
Gainey, A., Himathongkam, T., Tanaka, H., & Suksom, D. (2016). Effects of Buddhist walking meditation on glycemic control and vascular function in patients with type 2 diabetes. //Complementary Therapies in Medicine, 26//, 92-97. https://doi.org/10.1016/j.ctim.2016.03.009
Gregg, J.A., Callaghan, G.A., Hayes, S.C., & Glenn-Lawson, J.L. (2007). Improving diabetes self-management through acceptance, mindfulness, and values: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 75//(2), 336-343. https://doi.org/10.1037/0022-006X.75.2.336
Hartmann, M., Kopf, S., Kircher, C., Faude-Lang, V., Djuric, Z., Augstein, F., ... & Nawroth, P.P. (2012). Sustained Effects of a Mindfulness-Based Stress-Reduction Intervention in Type 2 Diabetic Patients: Design and first results of a randomized controlled trial (the Heidelberger Diabetes and Stress-Study). //Diabetes Care, 35//(5), 945-947. https://doi.org/10.2337/dc11-1343
Jung, H.Y., Lee, H., & Park, J. (2015). Comparison of the effects of Korean mindfulness-based stress reduction, walking, and patient education in diabetes mellitus. //Nursing & Health Sciences, 17//(4), 516-NA. https://doi.org/10.1111/nhs.12229
Kopf, S., Oikonomou, D., Hartmann, M., Feier, F., Faude-Lang, V., Morcos, M., ... & Nawroth, P.P. (2014). Effects of Stress Reduction on Cardiovascular Risk Factors in Type 2 Diabetes Patients with Early Kidney Disease – Results of a Randomized Controlled Trial (HEIDIS). //Experimental and Clinical Endocrinology & Diabetes, 122//(6), 341-349. https://doi.org/10.1055/s-0034-1372583
Loucks, E.B., Gilman, S.E., Britton, W.B., Gutman, R., Eaton, C.B., & Buka, S.L. (2016). Associations of mindfulness with glucose regulation and diabetes. //American Journal of Health Behavior, 40//(2), 258-267. https://doi.org/10.5993/AJHB.40.2.11
Mason, A.E., Epel, E.S., Kristeller, J., Moran, P.J., Dallman, M., Lustig, R.H., ... & Daubenmier, J. (2016). Effects of a mindfulness-based intervention on mindful eating, sweets consumption, and fasting glucose levels in obese adults: Data from the shine randomized controlled trial. //Journal of Behavioral Medicine, 39//(2), 201-213. https://doi.org/10.1007/s10865-015-9692-8
Miller, C.K., Kristeller, J.L., Headings, A., & Nagaraja, H. (2014). Comparison of a mindful eating intervention to a diabetes self-management intervention among adults with type 2 diabetes: A randomized controlled trial. //Health Education & behavior, 41//(2), 145-154. https://doi.org/10.1177/1090198113493092
Nyklicek, I., van Son, J., Pop, V.J., Denollet, J., & Pouwer, F. (2016). Does Mindfulness-Based Cognitive Therapy benefit all people with diabetes and comorbid emotional complaints equally? Moderators in the DiaMind trial. //Journal of Psychosomatic Research, 91//, 40-47. https://doi.org/10.1016/j.jpsychores.2016.10.009
Raja-Khan, N., Agito, K., Shah, J., Stetter, C.M., Gustafson, T.S., Socolow, H., ... & Legro, R.S. (2017). Mindfulness-based stress reduction in women with overweight or obesity: A randomized clinical trial. //Obesity, 25//(8), 1349-1359. https://doi.org/10.1002/oby.21910
Rosenzweig, S., Reibel, D.K., Greeson, J.M., Edman, J.S., Jasser, S.A., McMearty, K.D., ... & Goldstein, B.J. (2007). Mindfulness-based stress reduction is associated with improved glycemic control in type 2 diabetes mellitus: A pilot study. //Alternative Therapies in Health and Medicine, 13//(5), 36-38. http://www.alternative-therapies.com/at/web_pdfs/rosenzweig.pdf
Schroevers, M.J., Tovote, K.A., Keers, J.C., Links, T.P., Sanderman, R., & Fleer, J. (2015). Individual mindfulness-based cognitive therapy for people with diabetes: A pilot randomized controlled trial. //Mindfulness, 6//(1), 99-110. https://doi.org/10.1007/s12671-013-0235-5
Shayeghian, Z., Hassanabadi, H., Aguilar-Vafaie, M.E., Amiri, P., & Besharat, M.A. (2016). A randomized controlled trial of acceptance and commitment therapy for type 2 diabetes management: The moderating role of coping styles. //PLOS ONE, 11//(12). https://doi.org/10.1371/journal.pone.0166599
Shomaker, L.B., Bruggink, S., Pivarunas, B., Skoranski, A., Foss, J., Chaffin, E., ... & Bell, C. (2017). Pilot randomized controlled trial of a mindfulness-based group intervention in adolescent girls at risk for type 2 diabetes with depressive symptoms. //Complementary Therapies in Medicine, 32//, 66-74. https://doi.org/10.1016/j.ctim.2017.04.003
Tak, S.R., Hendrieckx, C., Nefs, G., Nyklicek, I., Speight, J., & Pouwer, F. (2015). The association between types of eating behaviour and dispositional mindfulness in adults with diabetes. results from diabetes miles. the Netherlands. //Appetite, 87//, 288-295. https://doi.org/10.1016/j.appet.2015.01.006
Tovote, K.A., Fleer, J., Snippe, E., Peeters, A.C.T.M., Emmelkamp, P.M.G., Sanderman, R., ... & Schroevers, M.J. (2014). Individual mindfulness-based cognitive therapy and cognitive behavior therapy for treating depressive symptoms in patients with diabetes: Results of a randomized controlled trial. //Diabetes Care, 37//(9), 2427-2434. https://doi.org/10.2337/dc13-2918
van Son, J., Nyklicek, I., Nefs, G., Speight, J., Pop, V.J., & Pouwer, F. (2015). The association between mindfulness and emotional distress in adults with diabetes: Could mindfulness serve as a buffer? results from diabetes miles: The Netherlands. //Journal of Behavioral Medicine, 38//(2), 251-260. https://doi.org/10.1007/s10865-014-9592-3
van Son, J., Nyklicek, I., Pop, V.J., Blonk, M.C., Erdtsieck, R.J., & Pouwer, F. (2014). Mindfulness-based cognitive therapy for people with diabetes and emotional problems: Long-term follow-up findings from the DiaMind randomized controlled trial. //Journal of Psychosomatic Research, 77//(1), 81-84. https://doi.org/10.1016/j.jpsychores.2014.03.013
van Son, J., Nyklicek, I., Pop, V.J., Blonk, M.C., Erdtsieck, R.J., Spooren, P.F., ... & Pouwer, F. (2013). The Effects of a Mindfulness-Based Intervention on Emotional Distress, Quality of Life, and HbA1c in Outpatients With Diabetes (DiaMind). //Diabetes Care, 36//(4), 823-830. https://doi.org/10.2337/dc12-1477
van Son, J., Nyklicek, I., Pop, V.J.M., & Pouwer, F. (2011). Testing the effectiveness of a mindfulness-based intervention to reduce emotional distress in outpatients with diabetes (DiaMind): Design of a randomized controlled trial. //BMC Public Health, 11//. https://doi.org/10.1186/1471-2458-11-131
Youngwanichsetha, S., Phumdoung, S., & Ingkathawornwong, T. (2014). The effects of mindfulness eating and yoga exercise on blood sugar levels of pregnant women with gestational diabetes mellitus. //Applied Nursing Research, 27//(4), 227-230. https://doi.org/10.1016/j.apnr.2014.02.002
Eriksen, C., & Ditrich, T. (2015). The relevance of mindfulness practice for trauma-exposed disaster researchers. //Emotion Space and Society, 17//, 63-69. https://doi.org/10.1016/j.emospa.2015.07.004
Hechanova, R.M., Ramos, P.A.P., & Waelde, L. (2015). Group-based mindfulness-informed psychological first aid after typhoon Haiyan. //Disaster Prevention and Management, 24//(5), 610-618. https://doi.org/10.1108/DPM-01-2015-0015
Hechanova, M.R.M., Waelde, L.C., & Ramos, P.A.P. (2016). Evaluation of a group-based resilience intervention for typhoon Haiyan survivors. //Journal of Pacific Rim Psychology, 10//. https://doi.org/10.1017/prp.2016.9
Bonn-Miller, M.O., Zvolensky, M.J., & Bernstein, A. (2009). Discomfort intolerance: Evaluation of incremental validity for panic-relevant symptoms using 10% carbon dioxide-enriched air provocation. //Journal of Anxiety Disorders, 23//(2), 197-203. https://doi.org/10.1016/j.janxdis.2008.06.007
Masuda, A., Hayes, S.C., Twohig, M.P., Drossel, C., Lillis, J., & Washio, Y. (2009). A parametric study of cognitive defusion and the believability and discomfort of negative self-relevant thoughts. //Behavior Modification, 33//(2), 250-262. https://doi.org/10.1177/0145445508326259
Crane, C., Barnhofer, T., Duggan, D.S., Hepburn, S., Fennell, M.V., & Williams, J.M.G. (2008). Mindfulness-based cognitive therapy and self-discrepancy in recovered depressed patients with a history of depression and suicidality. //Cognitive Therapy and Research, 32//(6), 775-787. https://doi.org/10.1007/s10608-008-9193-y
Bird, E.R., Seehuus, M., Clifton, J., & Rellini, A.H. (2014). Dissociation during sex and sexual arousal in women with and without a history of childhood sexual abuse. //Archives of Sexual Behavior, 43//(5), 953-964. https://doi.org/10.1007/s10508-013-0191-0
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Escudero-Perez, S., Leon-Palacios, M.G., Ubeda-Gomez, J., Barros-Albarran, M.D., Lopez-Jimenez, A.M., & Perona-Garcelan, S. (2016). Dissociation and mindfulness in patients with auditory verbal hallucinations. //Journal of Trauma & Dissociation, 17//(3), 294-306. https://doi.org/10.1080/15299732.2015.1085480
Martins, M.J.R.V., Castilho, P., Carvalho, C.B., Pereira, A.T., Santos, V., Gumley, A., ... & de Macedo, A.F. (2017). Contextual cognitive-Behavioral therapies across the psychosis continuum: A review of evidence for schizophrenia, schizoaffective and bipolar disorders. //European Psychologist, 22//(2), 83-100. https://doi.org/10.1027/1016-9040/a000283
Mazzoni, E., Cannata, D., & Baiocco, L. (2017). Focused, not lost: The mediating role of temporal dissociation and focused immersion on problematic internet use. //Behaviour & Information Technology, 36//(1), 11-20. https://doi.org/10.1080/0144929X.2016.1159249
Michal, M., Koechel, A., Canterino, M., Adler, J., Reiner, I., Vossel, G., ... & Gamer, M. (2013). Depersonalization disorder: Disconnection of cognitive evaluation from autonomic responses to emotional stimuli. //PLOS ONE, 8//(9). https://doi.org/10.1371/journal.pone.0074331
Nestler, S., Sierra, M., Jay, E.L., & David, A.S. (2015). Mindfulness and body awareness in depersonalization disorder. //Mindfulness, 6//(6). 1282-1285. https://doi.org/10.1007/s12671-015-0392-9
Perona-Garcelan, S., Carrascoso-Lopez, F., Garcia-Montes, J.M., Vallina-Fernandez, O., Perez-Alvarez, M., Ductor-Recuerda, M.J., ... & Gomez-Gomez, M.T. (2011). Depersonalization as a mediator in the relationship between self-focused attention and auditory hallucinations. //Journal of Trauma & Dissociation, 12//(5), 535-548. https://doi.org/10.1080/15299732.2011.602181
Perona-Garcelan, S., Garcia-Montes, J.M., Rodriguez-Testal, J.F., Lopez-Jimenez, A.M., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Benitez-Hernandez, M.D. (2014). Relationship between childhood trauma, mindfulness, and dissociation in subjects with and without hallucination proneness. //Journal of Trauma & Dissociation, 15//(1), 35-51. https://doi.org/10.1080/15299732.2013.821433
Price, C.J., & Thompson, E.A. (2007). Measuring dimensions of body connection: Body awareness and bodily dissociation. //Journal of Alternative and Complementary Medicine, 13//(9), 945-953. https://doi.org/10.1089/acm.2007.0537
Price, C.J., Thompson, E.A., & Cheng, S.C. (2017). Scale of body connection: A multi-sample construct validation study. //PLOS ONE, 12//(10). e0184757. https://doi.org/10.1371/journal.pone.0184757
Sharma, T., Sinha, V.K., & Sayeed, N. (2016). Role of mindfulness in dissociative disorders among adolescents. //Indian Journal of Psychiatry, 58//(3), 326-328. https://doi.org/10.4103/0019-5545.192013
Varese, F., Barkus, E., & Bentall, R.P. (2011). Dissociative and metacognitive factors in hallucination-proneness when controlling for comorbid symptoms. //Cognitive Neuropsychiatry, 16//(3), 193-217. https://doi.org/10.1080/13546805.2010.495244
Zerubavel, N., & Messman-Moore, T.L. (2015). Staying present: Incorporating mindfulness into therapy for dissociation. //Mindfulness, 6//(2), 303-314. https://doi.org/10.1007/s12671-013-0261-3
Broderick, P. (2005). Mindfulness and coping with dysphoric mood: Contrasts with rumination and distraction. //Cognitive Therapy and Research, 29//(5), 501-510. https://doi.org/10.1007/s10608-005-3888-0
Caltabiano, G., & Martin, G. (2017). Mindless suffering: The relationship between mindfulness and non-suicidal self-injury. //Mindfulness, 8//(3), 788-796. https://doi.org/10.1007/s12671-016-0657-y
Fitzpatrick, S., & Kuo, J.R. (2016). The impact of stimulus arousal level on emotion regulation effectiveness in borderline personality disorder. //Psychiatry Research, 241//, 242-248. https://doi.org/10.1016/j.psychres.2016.05.004
Gartner, M., Irrmischer, M., Winnebeck, E., Fissler, M., Huntenburg, J.M., Schroeter, T.A., ... & Barnhofer, T. (2017). Aberrant long-range temporal correlations in depression are attenuated after psychological treatment. //Frontiers in Human Neuroscience, 11//, 340. https://doi.org/10.3389/fnhum.2017.00340
Ginzburg, K., Tsur, N., Karmin, C., Speizman, T., Tourgeman, R., & Defrin, R. (2015). Body awareness and pain habituation: The role of orientation towards somatic signals. //Journal of Behavioral Medicine, 38//(6), 876-885. https://doi.org/10.1007/s10865-015-9676-8
Harrison, N., & Peacock, N. (2010). Cultural distance, mindfulness and passive xenophobia: Using Integrated Threat Theory to explore home higher education students' perspectives on 'internationalisation at home'. //British Educational Research Journal, 36//(6), 877-902. https://doi.org/10.1080/01411920903191047
Hartmann, A.S., Thomas, J.J., Greenberg, J.L., Rosenfield, E.H., & Wilhelm, S. (2015). Accept, distract, or reframe? an exploratory experimental comparison of strategies for coping with intrusive body image thoughts in anorexia nervosa and body dysmorphic disorder. //Psychiatry Research, 225//(3), 643-650. https://doi.org/10.1016/j.psychres.2014.11.031
Hilt, L.M., & Pollak, S.D. (2012). Getting out of rumination: Comparison of three brief interventions in a sample of youth. //Journal of Abnormal Child Psychology, 40//(7), 1157-1165. https://doi.org/10.1007/s10802-012-9638-3
Huffziger, S., & Kuehner, C. (2009). Rumination, distraction, and mindful self-focus in depressed patients. //Behaviour Research and Therapy, 47//(3), 224-230. https://doi.org/10.1016/j.brat.2008.12.005
Ivarsson, A., Johnson, U., Andersen, M.B., Fallby, J., & Altemyr, M. (2015). It pays to pay attention: A mindfulness-based program for injury prevention with soccer players. //Journal of Applied Sport Psychology, 27//(3), 319-334. https://doi.org/10.1080/10413200.2015.1008072
Jain, S., Shapiro, S.L., Swanick, S., Roesch, S.C., Mills, P.J., Bell, I., ... & Schwartz, G.E.R. (2007). A randomized controlled trial of mindfulness meditation versus relaxation training: Effects on distress, positive states of mind, rumination, and distraction. //Annals of Behavioral Medicine, 33//(1), 11-21. https://doi.org/10.1207/s15324796abm3301_2
Ju, Y.J., & Lien, Y.W. (2016). Better control with less effort: The advantage of using focused-breathing strategy over focused-distraction strategy on thought suppression. //Consciousness and Cognition, 40//, 9-16. https://doi.org/10.1016/j.concog.2015.12.002
Keng, S.L., & Tong, E.M.W. (2016). Riding the tide of emotions with mindfulness: Mindfulness, affect dynamics, and the mediating role of coping. //Emotion, 16//(5), 706-718. https://doi.org/10.1037/emo0000165
Kuehner, C., Huffziger, S., & Liebsch, K. (2009). Rumination, distraction and mindful self-focus: Effects on mood, dysfunctional attitudes and cortisol stress response. //Psychological Medicine, 39//(2), 219-228. https://doi.org/10.1017/S0033291708003553
Legal, J.B., Meyer, T., Csillik, A., & Nicolas, P.A. (2016). Goal priming, public transportation habit and travel mode selection: The moderating role of trait mindfulness. //Transportation Research Part F: Traffic Psychology and Behaviour, 38//, 47-54. https://doi.org/10.1016/j.trf.2016.01.003
Levenson, R.W., Ekman, P., & Ricard, M. (2012). Meditation and the startle response: A case study. //Emotion, 12//(3), 650-658. https://doi.org/10.1037/a0027472
Marek, R.J., Ben-Porath, D.D., Federici, A., Wisniewski, L., & Warren, M. (2013). Targeting premeal anxiety in eating disordered clients and normal controls: A preliminary investigation into the use of mindful eating vs. distraction during food exposure. //International Journal of Eating Disorders, 46//(6), 582-585. https://doi.org/10.1002/eat.22152
Metcalfe, R.K., Fitzpatrick, S., & Kuo, J.R. (2017). A laboratory examination of emotion regulation skill strengthening in borderline personality disorder. //Personality Disorders-theory Research and Treatment, 8//(3), 237-246. https://doi.org/10.1037/per0000156
Mrazek, M.D., Franklin, M.S., Phillips, D.T., Baird, B., & Schooler, J.W. (2013). Mindfulness training improves working memory capacity and gre performance while reducing mind wandering. //Psychological Science, 24//(5), 776-781. https://doi.org/10.1177/0956797612459659
Newcombe, B.C., & Weaver, A.D. (2016). Mindfulness, cognitive distraction, and sexual well-being in women. //Canadian Journal of Human Sexuality, 25//(2), 99-108. https://doi.org/10.3138/cjhs.252-A3
Odou, N., & Brinker, J. (2015). Self-compassion, a better alternative to rumination than distraction as a response to negative mood. //Journal of Positive Psychology, 10//(5), 447-457. https://doi.org/10.1080/17439760.2014.967800
Ortner, C.N.M., & Zelazo, P.D. (2014). Responsiveness to a mindfulness manipulation predicts affect regarding an anger-provoking situation. //Canadian Journal of Behavioural Science-revue Canadienne Des Sciences Du Comportement, 46//(2), 117-124. https://doi.org/10.1037/a0029664
Ozen, L.J., Dubois, S., Gibbons, C., Short, M.M., Maxwell, H., & Bedard, M. (2016). Mindfulness interventions improve depression symptoms after traumatic brain injury: Are individual changes clinically significant?//Mindfulness, 7//(6), 1356-1364. https://doi.org/10.1007/s12671-016-0577-x
Prins, B., Decuypere, A., & Van Damme, S. (2014). Effects of mindfulness and distraction on pain depend upon individual differences in pain catastrophizing: An experimental study. //European Journal of Pain, 18//(9), 1307-1315. https://doi.org/10.1002/j.1532-2149.2014.491.x
Rees, C.S., Hasking, P., Breen, L.J., Lipp, O.V., & Mamotte, C. (2015). Group mindfulness based cognitive therapy vs group support for self-injury among young people: Study protocol for a randomised controlled trial. //BMC Psychiatry, 15//, 154. https://doi.org/10.1186/s12888-015-0527-5
Sharpe, L., Perry, K.N., Rogers, P., Refshauge, K., & Nicholas, M.K. (2013). A comparison of the effect of mindfulness and relaxation on responses to acute experimental pain. //European Journal of Pain, 17//(5), 742-752. https://doi.org/10.1002/j.1532-2149.2012.00241.x
Tsai, A., Hughes, E.K., Fuller-Tyszkiewicz, M., Buck, K., & Krug, I. (2017). The differential effects of mindfulness and distraction on affect and body satisfaction following food consumption. //Frontiers in Psychology, 8//, 1696. https://doi.org/10.3389/fpsyg.2017.01696
Uusberg, H., Uusberg, A., Talpsep, T., & Paaver, M. (2016). Mechanisms of mindfulness: The dynamics of affective adaptation during open monitoring. //Biological Psychology, 118//, 94-106. https://doi.org/10.1016/j.biopsycho.2016.05.004
Vago, D.R., & Nakamura, Y. (2011). Selective attentional bias towards pain-related threat in fibromyalgia: Preliminary evidence for effects of mindfulness meditation training. //Cognitive Therapy and Research, 35//(6), 581-594. https://doi.org/10.1007/s10608-011-9391-x
Verplanken, B., & Fisher, N. (2014). Habitual worrying and benefits of mindfulness. //Mindfulness, 5//(5), 566-573. https://doi.org/10.1007/s12671-013-0211-0
Wahl, K., Huelle, J.O., Zurowski, B., & Kordon, A. (2013). Managing obsessive thoughts during brief exposure: An experimental study comparing mindfulness-based strategies and distraction in obsessive-compulsive disorder. //Cognitive Therapy and Research, 37//(4), 752-761. https://doi.org/10.1007/s10608-012-9503-2
Weger, U.W., Hooper, N., Meier, B.P., & Hopthrow, T. (2012). Mindful maths: Reducing the impact of stereotype threat through a mindfulness exercise. //Consciousness and Cognition, 21//(1), 471-475. https://doi.org/10.1016/j.concog.2011.10.011
Wenk-Sormaz, H. (2005). Meditation can reduce habitual responding. //Alternative Therapies in Health and Medicine, 11//(2), 42-58.
Zeidan, F., Gordon, N.S., Merchant, J., & Goolkasian, P. (2010). The effects of brief mindfulness meditation training on experimentally induced pain. //Journal of Pain, 11//(3), 199-209. https://doi.org/10.1016/j.jpain.2009.07.015
[img[tps90.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kowalski, R.M., Allison, B., Giumetti, G.W., Turner, J., Whittaker, E., Frazee, L., ... & Stephens, J. (2014). Pet peeves and happiness: How do happy people complain?. //Journal of Social Psychology, 154//(4), 278-282. https://doi.org/10.1080/00224545.2014.906380
Ariyabuddhiphongs, V., & Jaiwong, D. (2010). Observance of the Buddhist five precepts, subjective wealth, and happiness among buddhists in bangkok, thailand. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 32//(3), 327-344. https://doi.org/10.1163/157361210X533274
Huang, P.H. (2010). Happiness studies and legal policy. //Annual Review of Law and Social Science, Vol 6, 6//, 405-432. https://doi.org/10.1146/annurev-lawsocsci-102209-152828
Dambrun, M. (2017). Self-centeredness and selflessness: Happiness correlates and mediating psychological processes. //PeerJ, 5//. https://doi.org/10.7717/peerj.3306
Dambrun, M. (2016). When the dissolution of perceived body boundaries elicits happiness: The effect of selflessness induced by a body scan meditation. //Consciousness and Cognition, 46//, 89-98. https://doi.org/10.1016/j.concog.2016.09.013
Lu, C.F., Smith, L.N., & Gau, C.H. (2012). Exploring the Zen meditation experiences of patients with generalized anxiety disorder: A focus-group approach. //Journal of Nursing Research, 20//(1), 43-51. https://doi.org/10.1097/JNR.0b013e3182466e83
Choi, Y.W., Karremans, J.C., & Barendregt, H. (2012). The happy face of mindfulness: Mindfulness meditation is associated with perceptions of happiness as rated by outside observers. //Journal of Positive Psychology, 7//(1), 30-35. https://doi.org/10.1080/17439760.2011.626788
Jung, K. (2014). Liberating Zen: A christian experience. //Journal of Korean Religions, 5//(1), 35-50. https://www.jstor.org/stable/23943333
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Wahler, R.G., Singh, J., & Sage, M. (2004). Mindful caregiving increases happiness among individuals with profound multiple disabilities. //Research in Developmental Disabilities, 25//(2), 207-218. https://doi.org/10.1016/j.ridd.2003.05.001
Campos, D., Cebolla, A., Quero, S., Breton-Lopez, J., Botella, C., Soler, J., ... & Banos, R.M. (2016). Meditation and happiness: Mindfulness and self-compassion may mediate the meditation-happiness relationship. //Personality and Individual Differences, 93//, 80-85. https://doi.org/10.1016/j.paid.2015.08.040
Lakey, C.E., Berry, D.R., & Sellers, E.W. (2011). Manipulating attention via mindfulness induction improves p300-based brain-computer interface performance. //Journal of Neural Engineering, 8//(2). https://doi.org/10.1088/1741-2560/8/2/025019
Zelenski, J.M., & Nisbet, E.K. (2014). Happiness and feeling connected: The distinct role of nature relatedness. //Environment and Behavior, 46//(1), 3-23. https://doi.org/10.1177/0013916512451901
Benzo, R.P., Kirsch, J.L., & Nelson, C. (2017). Compassion, mindfulness, and the happiness of healthcare workers. //Explore: The Journal of Science and Healing, 13//(3), 201-206. https://doi.org/10.1016/j.explore.2017.02.001
Strick, M., van Noorden, T.H.J., Rients, R.R., de Ruiter, J.R., & Dijksterhuis, A. (2012). Zen meditation and access to information in the unconscious. //Consciousness and Cognition, 21//(3), 1476-1481. https://doi.org/10.1016/j.concog.2012.02.010
Akin, U., & Akin, A. (2015). Mindfulness and subjective happiness: The mediating role of coping competence. //Ceskoslovenska Psychologie, 59//(4), 359-368. http://www.medvik.cz/link/bmc15030061
Denny, K., & Steiner, H. (2009). External and internal factors influencing happiness in elite collegiate athletes. //Child Psychiatry & Human Development, 40//(1), 55-72. https://doi.org/10.1007/s10578-008-0111-z
Lindsay, K., Kirby, D., Dluzewska, T., & Campbell, S. (2015). Oh, the places you'll go!: Newcastle law school's partnership interventions for well-being in first year law. //Journal of Learning Design, 8//(2), 11-21. https://www.jld.edu.au/article/view/239.html
Shaku, F., Tsutsumi, M., Goto, H., & Saint Arnoult, D. (2014). Measuring the effects of Zen training on quality of life and mental health among japanese monk trainees: A cross-sectional study. //Journal of Alternative and Complementary Medicine, 20//(5), 406-410. https://doi.org/10.1089/acm.2013.0209
Surinrut, P., Auamnoy, T., & Sangwatanaroj, S. (2016). Enhanced happiness and stress alleviation upon insight meditation retreat: Mindfulness, a part of traditional Buddhist meditation. //Mental Health Religion & Culture, 19//(7), 648-659. https://doi.org/10.1080/13674676.2016.1207618
Moore, Z.E. (2015). Addressing assumptions and clarifying conclusions in "assumptions and conclusions: Fundamental distinctions between Tibetan Buddhist and western approaches to happiness". //Journal of Rational-emotive and Cognitive-behavior Therapy, 33//(4), 368-373. https://doi.org/10.1007/s10942-015-0223-x
Hanley, A.W., Baker, A.K., & Garland, E.L. (2017). Self-interest may not be entirely in the interest of the self: Association between selflessness, dispositional mindfulness and psychological well-being. //Personality and Individual Differences, 117//, 166-171. https://doi.org/10.1016/j.paid.2017.05.045
Alfieri, A.V. (2012). Educating lawyers for community. //Wisconsin Law Review, //(1), 115-158. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1991160
Gilbert, P., McEwan, K., Gibbons, L., Chotai, S., Duarte, J., & Matos, M. (2012). Fears of compassion and happiness in relation to alexithymia, mindfulness, and self-criticism. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(4), 374-390. https://doi.org/10.1111/j.2044-8341.2011.02046.x
Cathcart, S., Galatis, N., Immink, M., Proeve, M., & Petkov, J. (2014). Brief mindfulness-based therapy for chronic tension-type headache: A randomized controlled pilot study. //Behavioural and Cognitive Psychotherapy, 42//(1), 1-15. https://doi.org/10.1017/S1352465813000234
Grant, J.A., & Rainville, P. (2009). Pain sensitivity and analgesic effects of mindful states in Zen meditators: A cross-sectional study. //Psychosomatic Medicine, 71//(1), 106-114. https://doi.org/10.1097/PSY.0b013e31818f52ee
Brenner, M.J. (2009). Zen practice: A training method to enhance the skills of clinical social workers. //Social Work in health care, 48//(4), 462-470. https://doi.org/10.1080/00981380802589860
Zagonari, F. (2015). Technology improvements and value changes for sustainable happiness: A cross-development analytical model. //Sustainability Science, 10//(4), 687-698. https://doi.org/10.1007/s11625-015-0311-y
Feicht, T., Wittmann, M., Jose, G., Mock, A., von Hirschhausen, E., & Esch, T. (2013). Evaluation of a seven-week web-based happiness training to improve psychological well-being, reduce stress, and enhance mindfulness and flourishing: A randomized controlled occupational health study. //Evidence-based Complementary and Alternative Medicine//, 676953. https://doi.org/10.1155/2013/676953
Cloninger, C.R. (2006). The science of well-being: An integrated approach to mental health and its disorders. //World Psychiatry, 5//(2), 71-76. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1525119/
Bergsma, A., Poot, G., & Liefbroer, A.C. (2008). Happiness in the Garden of Epicurus. //Journal of Happiness Studies, 9//(3), 397-423. https://doi.org/10.1007/s10902-006-9036-z
Lomas, T., Etcoff, N., Van Gordon, W., & Shonin, E. (2017). Zen and the art of living mindfully: The health-enhancing potential of Zen aesthetics. //Journal of Religion & Health, 56//(5), 1720-1739. https://doi.org/10.1007/s10943-017-0446-5
Quoidbach, J., Berry, E.V., Hansenne, M., & Mikolajczak, M. (2010). Positive emotion regulation and well-being: Comparing the impact of eight savoring and dampening strategies. //Personality and Individual Differences, 49//(5), 368-373. https://doi.org/10.1016/j.paid.2010.03.048
Finlay-Jones, A., Kane, R., & Rees, C. (2017). Self-compassion online: A pilot study of an internet-based self-compassion cultivation program for psychology trainees. //Journal of Clinical Psychology, 73//(7), 797-816. https://doi.org/10.1002/jclp.22375
Kasser, T., & Sheldon, K.M. (2009). Time affluence as a path toward personal happiness and ethical business practice: Empirical evidence from four studies. //Journal of Business Ethics, 84//, 243-255. https://doi.org/10.1007/s10551-008-9696-1
Peters, M.L., Smeets, E., Feijge, M., van Breukelen, G., Andersson, G., Buhrman, M., ... & Linton, S.J. (2017). Happy despite pain a randomized controlled trial of an 8-week internet-delivered positive psychology intervention for enhancing well-being in patients with chronic pain. //Clinical Journal of Pain, 33//(11), 962-975. https://doi.org/10.1097/AJP.0000000000000494
Howells, A., Ivtzan, I., & Eiroa-Orosa, F.J. (2016). Putting the 'app' in happiness: A randomised controlled trial of a smartphone-based mindfulness intervention to enhance wellbeing. //Journal of Happiness Studies, 17//(1), 163-185. https://doi.org/10.1007/s10902-014-9589-1
Adams, C.E., McVay, M.A., Kinsaul, J., Benitez, L., Vinci, C., Stewart, D.W., ... & Copeland, A.L. (2012). Unique relationships between facets of mindfulness and eating pathology among female smokers. //Eating Behaviors, 13//(4), 390-393. https://doi.org/10.1016/j.eatbeh.2012.05.009
Alberts, H.J.E.M., Thewissen, R., & Raes, L. (2012). Dealing with problematic eating behaviour. The effects of a mindfulness-based intervention on eating behaviour, food cravings, dichotomous thinking and body image concern. //Appetite, 58//(3), 847-851. https://doi.org/10.1016/j.appet.2012.01.009
Apolzan, J.W., Myers, C.A., Cowley, A.D., Brady, H., Hsia, D.S., Stewart, T.M., ... & Martin, C.K. (2016). Examination of the reliability and validity of the Mindful Eating Questionnaire in pregnant women. //Appetite, 100//, 142-151. https://doi.org/10.1016/j.appet.2016.02.025
Arch, J.J., Brown, K.W., Goodman, R.J., Della Porta, M.D., Kiken, L.G., & Tillman, S. (2016). Enjoying food without caloric cost: The impact of brief mindfulness on laboratory eating outcomes. //Behaviour Research and Therapy, 79//, 23-34. https://doi.org/10.1016/j.brat.2016.02.002
Atkinson, M.J., & Wade, T.D. (2012). Impact of metacognitive acceptance on body dissatisfaction and negative affect: Engagement and efficacy. //Journal of Consulting and Clinical Psychology, 80//(3), 416-425. https://doi.org/10.1037/a0028263
Atkinson, M.J., & Wade, T.D. (2015). Mindfulness-based prevention for eating disorders: A school-based cluster randomized controlled study. //International Journal of Eating Disorders, 48//(7), 1024-1037. https://doi.org/10.1002/eat.22416
Atkinson, M.J., & Wade, T.D. (2016). Does mindfulness have potential in eating disorders prevention? A preliminary controlled trial with young adult women. //Early Intervention in Psychiatry, 10//(3), 234-245. https://doi.org/10.1111/eip.12160
Baer, R.A., Fischer, S., & Huss, D.B. (2005). Mindfulness-based cognitive therapy applied to binge eating: A case study. //Cognitive and Behavioral Practice, 12//(3), 351-358. https://doi.org/10.1016/S1077-7229(05)80057-4
Beshara, M., Hutchinson, A.D., & Wilson, C. (2013). Does mindfulness matter? Everyday mindfulness, mindful eating and self-reported serving size of energy dense foods among a sample of South Australian adults. //Appetite, 67//, 25-29. https://doi.org/10.1016/j.appet.2013.03.012
Betts, K.R., & Hinsz, V.B. (2015). Mindful attention and awareness predict self-reported food safety practices in the food service industry. //Current Psychology, 34//(2), 191-206. https://doi.org/10.1007/s12144-014-9251-4
Bush, H.E., Rossy, L., Mintz, L.B., & Schopp, L. (2014). Eat for life: A work site feasibility study of a novel mindfulness-based intuitive eating intervention. //American Journal of Health Promotion, 28//(6), 380-388. https://doi.org/10.4278/ajhp.120404-QUAN-186
Carmody, J.F., Olendzki, B.C., Merriam, P.A., Liu, Q., Qiao, Y.X., & Ma, Y.S. (2012). A novel measure of dietary change in a prostate cancer dietary program incorporating mindfulness training. //Journal of the Academy of Nutrition and Dietetics, 112//(11), 1822-1827. https://doi.org/10.1016/j.jand.2012.06.008
Chung, S.Y., Zhu, S.J., Friedmann, E., Kelleher, C., Kozlovsky, A., Macfarlane, K.W., ... & Griffith, K.A. (2016). Weight loss with mindful eating in African American women following treatment for breast cancer: A longitudinal study. //Supportive Care in Cancer, 24//(4), 1875-1881. https://doi.org/10.1007/s00520-015-2984-2
Clementi, C., Casu, G., & Gremigni, P. (2017). An abbreviated version of the Mindful Eating Questionnaire. //Journal of Nutrition Education and Behavior, 49//(4), 352-356. https://doi.org/10.1016/j.jneb.2017.01.016
Compare, A., Callus, E., & Grossi, E. (2012). Mindfulness trait, eating behaviours and body uneasiness: A case-control study of binge eating disorder. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 17//(4), E244-E251. https://doi.org/10.3275/8652
Corsica, J., Hood, M.M., Katterman, S., Kleinman, B., & Ivan, I. (2014). Development of a novel mindfulness and cognitive behavioral intervention for stress-eating: A comparative pilot study. //Eating Behaviors, 15//(4), 694-699. https://doi.org/10.1016/j.eatbeh.2014.08.002
Cowdrey, F.A., & Park, R.J. (2012). The role of experiential avoidance, rumination and mindfulness in eating disorders. //Eating Behaviors, 13//(2), 100-105. https://doi.org/10.1016/j.eatbeh.2012.01.001
Dalen, J., Brody, J.L., Staples, J.K., & Sedillo, D. (2015). A conceptual framework for the expansion of behavioral interventions for youth obesity: A family-based mindful eating approach. //Childhood Obesity, 11//(5), 577-584. https://doi.org/10.1089/chi.2014.0150
Dalen, J., Smith, B.W., Shelley, B.M., Sloan, A.L., Leahigh, L., & Begay, D. (2010). Pilot study: Mindful Eating and Living (MEAL): Weight, eating behavior, and psychological outcomes associated with a mindfulness-based intervention for people with obesity. //Complementary Therapies in Medicine, 18//(6), 260-264. https://doi.org/10.1016/j.ctim.2010.09.008
Daly, P., Pace, T., Berg, J., Menon, U., & Szalacha, L.A. (2016). A mindful eating intervention: A theory-guided randomized anti-obesity feasibility study with adolescent Latino females. //Complementary Therapies in Medicine, 28//, 22-28. https://doi.org/10.1016/j.ctim.2016.07.006
Daubenmier, J., Lin, J., Blackburn, E., Hecht, F.M., Kristeller, J., Maninger, N., ... & Epel, E. (2012). Changes in stress, eating, and metabolic factors are related to changes in telomerase activity in a randomized mindfulness intervention pilot study. //Psychoneuroendocrinology, 37//(7), 917-928. https://doi.org/10.1016/j.psyneuen.2011.10.008
Daubenmier, J., Lustig, R.H., Hecht, F.M., Kristeller, J., Woolley, J., Adam, T., ... & Epel, E. (2014). A new biomarker of hedonic eating? A preliminary investigation of cortisol and nausea responses to acute opioid blockade. //Appetite, 74//, 92-100. https://doi.org/10.1016/j.appet.2013.11.014
Dunn, C., Whetstone, L.M., Kolasa, K.M., Jayaratne, K.S.U., Thomas, C., Aggarwal, S., ... & Rogers, A.B. (2013). Delivering a behavior-change weight management program to teachers and state employees in North Carolina. //American Journal of Health Promotion, 27//(6), 378-383. https://doi.org/10.4278/ajhp.120221-QUAN-101
Emley, E.A., Taylor, M.B., & Musher-Eizenman, D.R. (2017). Mindful feeding and child dietary health. //Eating Behaviors, 24//, 89-94. https://doi.org/10.1016/j.eatbeh.2016.12.002
Engstrom, D. (2007). Case study - eating mindfully and cultivating satisfaction: Modifying eating patterns in a bariatric surgery patient. //Bariatric Nursing and Surgical Patient Care, 2//(4), 245-250. https://doi.org/10.1089/bar.2007.9954
Fisher, N., Lattimore, P., & Malinowski, P. (2016). Attention with a mindful attitude attenuates subjective appetitive reactions and food intake following food-cue exposure. //Appetite, 99//, 10-16. https://doi.org/10.1016/j.appet.2015.12.009
Fisher, N.R., Mead, B.R., Lattimore, P., & Malinowski, P. (2017). Dispositional mindfulness and reward motivated eating: The role of emotion regulation and mental habit. //Appetite, 118//, 41-48. https://doi.org/10.1016/j.appet.2017.07.019
Forman, E.M., Butryn, M.L., Hoffman, K.L., & Herbert, J.D. (2009). An open trial of an acceptance-based behavioral intervention for weight loss. //Cognitive and Behavioral Practice, 16//(2), 223-235.
Forman, E.M., Butryn, M.L., Manasse, S.M., Crosby, R.D., Goldstein, S.P., Wyckoff, E.P., ... & Thomas, J.G. (2016). Acceptance-based versus standard behavioral treatment for obesity: Results from the mind your health randomized controlled trial. //Obesity, 24//(10), 2050-2056. https://doi.org/10.1002/oby.21601
Forman, E.M., Shaw, J.A., Goldstein, S.P., Butryn, M.L., Martin, L.M., Meiran, N., ... & Manasse, S.M. (2016). Mindful decision making and inhibitory control training as complementary means to decrease snack consumption. //Appetite, 103//, 176-183. https://doi.org/10.1016/j.appet.2016.04.014
Framson, C., Kristal, A.R., Schenk, J.M., Littman, A.J., Zeliadt, S., & Benitez, D. (2009). Development and validation of the Mindful Eating Questionnaire. //Journal of the American Dietetic Association, 109//(8), 1439-1444. https://doi.org/10.1016/j.jada.2009.05.006
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
Hendrickson, K.L., & Rasmussen, E.B. (2013). Effects of mindful eating training on delay and probability discounting for food and money in obese and healthy-weight individuals. //Behaviour Research and Therapy, 51//(7), 399-409. https://doi.org/10.1016/j.brat.2013.04.002
Hill, M.L., Masuda, A., Melcher, H., Morgan, J.R., & Twohig, M.P. (2015). Acceptance and commitment therapy for women diagnosed with binge eating disorder: A case-series study. //Cognitive and Behavioral Practice, 22//(3), 367-378. https://doi.org/10.1016/j.cbpra.2014.02.005
Hong, P.Y., Lishner, D.A., & Han, K.H. (2014). Mindfulness and eating: An experiment examining the effect of mindful raisin eating on the enjoyment of sampled food. //Mindfulness, 5//(1), 80-87. https://doi.org/10.1007/s12671-012-0154-x
Hulbert-Williams, L., Nicholls, W., Joy, J., & Hulbert-Williams, N. (2014). Initial validation of the Mindful Eating Scale. //Mindfulness, 5//(6), 719-729. https://doi.org/10.1007/s12671-013-0227-5
Hutchinson, A.D., Charters, M., Prichard, I., Fletcher, C., & Wilson, C. (2017). Understanding maternal dietary choices during pregnancy: The role of social norms and mindful eating. //Appetite, 112//, 227-234. https://doi.org/10.1016/j.appet.2017.02.004
Jordan, C.H., Wang, W., Donatoni, L., & Meier, B.P. (2014). Mindful eating: Trait and state mindfulness predict healthier eating behavior. //Personality and Individual Differences, 68//, 107-111. https://doi.org/10.1016/j.paid.2014.04.013
Kearney, D.J., Milton, M.L., Malte, C.A., McDermott, K.A., Martinez, M., & Simpson, T.L. (2012). Participation in mindfulness-based stress reduction is not associated with reductions in emotional eating or uncontrolled eating. //Nutrition Research, 32//(6), 413-420. https://doi.org/10.1016/j.nutres.2012.05.008
Klein, A.S., Skinner, J.B., & Hawley, K.M. (2013). Targeting binge eating through components of dialectical behavior therapy: Preliminary outcomes for individually supported diary card self-monitoring versus group-based DBT. //Psychotherapy, 50//(4), 543-552. https://doi.org/10.1037/a0033130
Knol, L.L., Myers, H.H., Black, S., Robinson, D., Awololo, Y., Clark, D., ... & Higginbotham, J.C. (2016). Development and feasibility of a childhood obesity prevention program for rural families: Application of the social cognitive theory. //American Journal of Health Education, 47//(4), 204-214. https://doi.org/10.1080/19325037.2016.1179607
Kristeller, J., Wolever, R.Q., & Sheets, V. (2014). Mindfulness-Based Eating Awareness Training (MB-EAT) for Binge Eating: A Randomized Clinical Trial. //Mindfulness, 5//(3), 282-297. https://doi.org/10.1007/s12671-012-0179-1
Kristeller, J.L. (2016). The Struggle Continues: Addressing Concerns About Eating and Weight for Older Women’s Well-Being. //Women & Therapy, 39//(42737), 202-212. https://doi.org/10.1080/02703149.2016.1116855
Lattimore, P., Mead, B.R., Irwin, L., Grice, L., Carson, R., & Malinowski, P. (2017). 'I can't accept that feeling': Relationships between interoceptive awareness, mindfulness and eating disorder symptoms in females with, and at-risk of an eating disorder. //Psychiatry Research, 247//, 163-171. https://doi.org/10.1016/j.psychres.2016.11.022
Lavender, J.M., Jardin, B.F., & Anderson, D.A. (2009). Bulimic symptoms in undergraduate men and women: Contributions of mindfulness and thought suppression. //Eating Behaviors, 10//(4), 228-231. https://doi.org/10.1016/j.eatbeh.2009.07.002
Leahey, T.M., Crowther, J.H., & Irwin, S.R. (2008). A cognitive-behavioral mindfulness group therapy intervention for the treatment of binge eating in bariatric surgery patients. //Cognitive and Behavioral Practice, 15//(4), 364-375. https://doi.org/10.1016/j.cbpra.2008.01.004
Levin, M.E., Dalrymple, K., Himes, S., & Zimmerman, M. (2014). Which facets of mindfulness are related to problematic eating among patients seeking bariatric surgery?. //Eating Behaviors, 15//(2), 298-305. https://doi.org/10.1016/j.eatbeh.2014.03.012
Levoy, E., Lazaridou, A., Brewer, J., & Fulwiler, C. (2017). An exploratory study of mindfulness based stress reduction for emotional eating. //Appetite, 109//, 124-130. https://doi.org/10.1016/j.appet.2016.11.029
Mantzios, M., & Egan, H.H. (2017). On the role of self-compassion and self-kindness in weight regulation and health behavior change. //Frontiers in Psychology, 8//, 229. https://doi.org/10.3389/fpsyg.2017.00229
Marchiori, D., & Papies, E.K. (2014). A brief mindfulness intervention reduces unhealthy eating when hungry, but not the portion size effect. //Appetite, 75//, 40-45. https://doi.org/10.1016/j.appet.2013.12.009
Marek, R.J., Ben-Porath, D.D., Federici, A., Wisniewski, L., & Warren, M. (2013). Targeting premeal anxiety in eating disordered clients and normal controls: A preliminary investigation into the use of mindful eating vs. distraction during food exposure. //International Journal of Eating Disorders, 46//(6), 582-585. https://doi.org/10.1002/eat.22152
Martin, L.M., Plumb-Vilardaga, J.C., & Timko, C.A. (2014). Examining the relationship amongst varieties of interpersonal valuing and mindfulness processes in eating pathology. //Mindfulness, 5//(2), 111-123. https://doi.org/10.1007/s12671-012-0156-8
Martin, R., Prichard, I., Hutchinson, A.D., & Wilson, C. (2013). The role of body awareness and mindfulness in the relationship between exercise and eating behavior. //Journal of Sport & Exercise Psychology, 35//(6), 655-660.
Mason, A.E., Epel, E.S., Aschbacher, K., Lustig, R.H., Acree, M., Kristeller, J., ... & Daubenmier, J. (2016). Reduced reward-driven eating accounts for the impact of a mindfulness-based diet and exercise intervention on weight loss: Data from the shine randomized controlled trial. //Appetite, 100//, 86-93. https://doi.org/10.1016/j.appet.2016.02.009
Mason, A.E., Epel, E.S., Kristeller, J., Moran, P.J., Dallman, M., Lustig, R.H., ... & Daubenmier, J. (2016). Effects of a mindfulness-based intervention on mindful eating, sweets consumption, and fasting glucose levels in obese adults: Data from the shine randomized controlled trial. //Journal of Behavioral Medicine, 39//(2), 201-213. https://doi.org/10.1007/s10865-015-9692-8
Mason, A.E., Lustig, R.H., Brown, R.R., Acree, M., Bacchetti, P., Moran, P.J., ... & Epel, E.S. (2015). Acute responses to opioidergic blockade as a biomarker of hedonic eating among obese women enrolled in a mindfulness-based weight loss intervention trial. //Appetite, 91//, 311-320. https://doi.org/10.1016/j.appet.2015.04.062
Masuda, A., Hill, M.L., & Tone, E.B. (2012). The role of mindfulness and disordered eating cognitions in psychological distress among college females with elevated disordered eating. //Mindfulness, 3//(2), 132-138. https://doi.org/10.1007/s12671-012-0087-4
Masuda, A., Price, M., & Latzman, R.D. (2012). Mindfulness moderates the relationship between disordered eating cognitions and disordered eating behaviors in a non-clinical college sample. //Journal of Psychopathology and Behavioral Assessment, 34//(1), 107-115. https://doi.org/10.1007/s10862-011-9252-7
May, J., Andrade, J., Batey, H., Berry, L.M., & Kavanagh, D.J. (2010). Less food for thought. impact of attentional instructions on intrusive thoughts about snack foods. //Appetite, 55//(2), 279-287. https://doi.org/10.1016/j.appet.2010.06.014
Miller, C.K., Kristeller, J.L., Headings, A., & Nagaraja, H. (2014). Comparison of a mindful eating intervention to a diabetes self-management intervention among adults with type 2 diabetes: A randomized controlled trial. //Health Education & behavior, 41//(2), 145-154. https://doi.org/10.1177/1090198113493092
Moore, M., Masuda, A., Hill, M.L., & Goodnight, B.L. (2014). Body Image flexibility moderates the association between disordered eating cognition and disordered eating behavior in a non-clinical sample of women: A cross-sectional investigation. //Eating Behaviors, 15//(4), 664-669. https://doi.org/10.1016/j.eatbeh.2014.08.021
Ouwens, M.A., Schiffer, A.A., Visser, L.I., Raeijmaekers, N.J.C., & Nyklicek, I. (2015). Mindfulness and eating behaviour styles in morbidly obese males and females. //Appetite, 87//, 62-67. https://doi.org/10.1016/j.appet.2014.11.030
Palmeira, L., Pinto-Gouveia, J., & Cunha, M. (2017). Exploring the efficacy of an acceptance, mindfulness & compassionate-based group intervention for women struggling with their weight (kg-free): A randomized controlled trial. //Appetite, 112//, 107-116. https://doi.org/10.1016/j.appet.2017.01.027
Palmeira, L., Trindade, I.A., & Ferreira, C. (2014). Can the impact of body dissatisfaction on disordered eating be weakened by one's decentering abilities?. //Eating Behaviors, 15//(3), 392-396. https://doi.org/10.1016/j.eatbeh.2014.04.012
Paolini, B., Burdette, J.H., Laurienti, P.J., Morgan, A.R., Williamson, D.A., & Rejeski, W.J. (2012). Coping with brief periods of food restriction: Mindfulness matters. //Frontiers in Aging Neuroscience, 4//, 13. https://doi.org/10.3389/fnagi.2012.00013
Pepping, C.A., O'Donovan, A., Zimmer-Gembeck, M.J., & Hanisch, M. (2015). Individual differences in attachment and eating pathology: The mediating role of mindfulness. //Personality and Individual Differences, 75//, 24-29. https://doi.org/10.1016/j.paid.2014.10.040
Pidgeon, A., Lacota, K., & Champion, J. (2013). The moderating effects of mindfulness on psychological distress and emotional eating behaviour. //Australian Psychologist, 48//(4), 262-269. https://doi.org/10.1111/j.1742-9544.2012.00091.x
Pinto-Gouveia, J., Carvalho, S.A., Palmeira, L., Castilho, P., Duarte, C., Ferreira, C., ... & Costa, J. (2017). BEfree: A new psychological program for binge eating that integrates psychoeducation, mindfulness, and compassion. //Clinical Psychology & Psychotherapy, 24//(5), 1090-1098. https://doi.org/10.1002/cpp.2072
Pivarunas, B., Kelly, N.R., Pickworth, C.K., Cassidy, O., Radin, R.M., Shank, L.M., ... & Shomaker, L.B. (2015). Mindfulness and eating behavior in adolescent girls at risk for type 2 diabetes. //International Journal of Eating Disorders, 48//(6), 563-569. https://doi.org/10.1002/eat.22435
Prowse, E., Bore, M., & Dyer, S. (2013). Eating disorder symptomatology, body image, and mindfulness: Findings in a non-clinical sample. //Clinical Psychologist, 17//(2), 77-87. https://doi.org/10.1111/cp.12008
Ruffault, A., Carette, C., Puerto, K.L.I., Juge, N., Beauchet, A., Benoliel, J.J., ... & Flahault, C. (2016). Randomized controlled trial of a 12-month computerized mindfulness-based intervention for obese patients with binge eating disorder: The MindOb study protocol. //Contemporary Clinical Trials, 49//, 126-133. https://doi.org/10.1016/j.cct.2016.06.012
Sairanen, E., Tolvanen, A., Karhunen, L., Kolehmainen, M., Jarvela, E., Rantala, S., ... & Lappalainen, R. (2015). Psychological flexibility and mindfulness explain intuitive eating in overweight adults. //Behavior Modification, 39//(4), 557-579. https://doi.org/10.1177/0145445515576402
Sala, M., & Levinson, C.A. (2017). A longitudinal study on the association between facets of mindfulness and disinhibited eating. //Mindfulness, 8//(4), 893-902. https://doi.org/10.1007/s12671-016-0663-0
Singh, N.N., Lancioni, G.E., Singh, A.N., Winton, A.S.W., Singh, J., McAleavey, K.M., ... & Adkins, A.D. (2008). A mindfulness-based health wellness program for an adolescent with Prader-Willi syndrome. //Behavior Modification, 32//(2), 167-181. https://doi.org/10.1177/01454407308582
Singh, N.N., Lancioni, G.E., Singh, A.N.A., Winton, A.S.W., Singh, A.D.A., & Singh, J. (2011). A mindfulness-based health wellness program for individuals with Prader-Willi syndrome. //Journal of Mental Health research in intellectual disabilities, 4//(2), 90-106. https://doi.org/10.1080/19315864.2011.583489
Starkman, H. (2016). An integrative group treatment model for women with binge eating disorder: Mind, body and self in connection. //Clinical Social Work Journal, 44//(1), 57-68. https://doi.org/10.1007/s10615-015-0571-0
Tak, S.R., Hendrieckx, C., Nefs, G., Nyklicek, I., Speight, J., & Pouwer, F. (2015). The association between types of eating behaviour and dispositional mindfulness in adults with diabetes. Results from Diabetes MILES. The Netherlands. //Appetite, 87//, 288-295. https://doi.org/10.1016/j.appet.2015.01.006
Tsai, A., Hughes, E.K., Fuller-Tyszkiewicz, M., Buck, K., & Krug, I. (2017). The differential effects of mindfulness and distraction on affect and body satisfaction following food consumption. //Frontiers in Psychology, 8//, 1696. https://doi.org/10.3389/fpsyg.2017.01696
Vogel, E. (2017). Hungers that need feeding: On the normativity of mindful nourishment. //Anthropology & Medicine, 24//(2), 159-173. https://doi.org/10.1080/13648470.2016.1276322
Wilson, D., & O'Connor, E.L. (2017). Mindfulness, personality and disordered eating. //Personality and Individual Differences, 119//, 7-12. https://doi.org/10.1016/j.paid.2017.06.033
Woolhouse, H., Knowles, A., & Crafti, N. (2012). Adding mindfulness to CBT programs for binge eating: A mixed-methods evaluation. //Eating Disorders, 20//(4), 321-339. https://doi.org/10.1080/10640266.2012.691791
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
Banos, R.M., Etchemendy, E., Castilla, D., Garcia-Palacios, A., Quero, S., & Botella, C. (2012). Positive mood induction procedures for virtual environments designed for elderly people. //Interacting With Computers, 24//(3), 131-138. https://doi.org/10.1016/j.intcom.2012.04.002
Keller, B.Z., Singh, N.N., & Winton, A.S.W. (2014). Mindfulness-based cognitive approach for seniors (MBCAS): Program development and implementation. //Mindfulness, 5//(4), 453-459. https://doi.org/10.1007/s12671-013-0262-2
Shao, R.B., Keuper, K.T., Geng, X.J., & Lee, T.M.C. (2016). Pons to posterior cingulate functional projections predict affective processing changes in the elderly following eight weeks of meditation training. //EBiomedicine, 10//, 236-248. https://doi.org/10.1016/j.ebiom.2016.06.018
Ahani, A., Wahbeh, H., Nezamfar, H., Miller, M., Erdogmus, D., & Oken, B. (2014). Quantitative change of EEG and respiration signals during mindfulness meditation. //Journal of Neuroengineering and Rehabilitation, 11//. https://doi.org/10.1186/1743-0003-11-87
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2012). Mindfulness-induced changes in gamma band activity - implications for the default mode network, self-reference and attention. //Clinical Neurophysiology, 123//(4), 700-710. https://doi.org/10.1016/j.clinph.2011.07.048
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2014). Studying the default mode and its mindfulness-induced changes using EEG functional connectivity. //Social Cognitive and Affective Neuroscience, 9//(10), 1616-1624. https://doi.org/10.1093/scan/nst153
Berkovich-Ohana, A., Glicksohn, J., Ben-Soussan, T.D., & Goldstein, A. (2017). Creativity is enhanced by long-term mindfulness training and is negatively correlated with trait default-mode-related low-gamma inter-hemispheric connectivity. //Mindfulness, 8//(3), 717-727. https://doi.org/10.1007/s12671-016-0649-y
Berman, A.E., & Stevens, L. (2015). EEG manifestations of nondual experiences in meditators. //Consciousness and Cognition, 31//, 1-11. https://doi.org/10.1016/j.concog.2014.10.002
Bing-Canar, H., Pizzuto, J., & Compton, R.J. (2016). Mindfulness-of-breathing exercise modulates EEG alpha activity during cognitive performance. //Psychophysiology, 53//(9), 1366-1376. https://doi.org/10.1111/psyp.12678
Braboszcz, C., Cahn, B.R., Levy, J., Fernandez, M., & Delorme, A. (2017). Increased gamma brainwave amplitude compared to control in three different meditation traditions. //PLOS ONE, 12//(1). https://doi.org/10.1371/journal.pone.0170647
Cahn, B.R., Delorme, A., & Polich, J. (2013). Event-related delta, theta, alpha and gamma correlates to auditory oddball processing during Vipassana meditation. //Social Cognitive and Affective Neuroscience, 8//(1), 100-111. https://doi.org/10.1093/scan/nss060
Chan, A.S., Cheung, M.C., Sze, S.L., Leung, W.W.M., & Shi, D.J. (2011). Shaolin dan tian breathing fosters relaxed and attentive mind: A randomized controlled neuro-electrophysiological study. //Evidence-based Complementary and Alternative Medicine, 180704//. https://doi.org/10.1155/2011/180704
Chan, A.S., Han, Y.M.Y., & Cheung, M.C. (2008). Electroencephalographic (EEG) measurements of mindfulness-based triarchic body-pathway relaxation technique: A pilot study. //Applied Psychophysiology and Biofeedback, 33//(1), 39-47. https://doi.org/10.1007/s10484-008-9050-5
DeLosAngeles, D., Williams, G., Burston, J., Fitzgibbon, S.P., Lewis, T.W., Grummett, T.S., ... & Willoughby, J.O. (2016). Electroencephalographic correlates of states of concentrative meditation. //International Journal of Psychophysiology, 110//, 27-39. https://doi.org/10.1016/j.ijpsycho.2016.09.020
Dentico, D., Ferrarelli, F., Riedner, B.A., Smith, R., Zennig, C., Lutz, A., ... & Davidson, R.J. (2016). Short meditation trainings enhance non-rem sleep low-frequency oscillations. //PLOS ONE, 11//(2). https://doi.org/10.1371/journal.pone.0148961
Faber, P.L., Lehmann, D., Tei, S., Tsujiuchi, T., Kumano, H., Pascual-Marqui, R.D., ... & Kochi, K. (2012). EEG source imaging during two qigong meditations. //Cognitive Processing, 13//(3), 255-265. https://doi.org/10.1007/s10339-012-0441-4
Ferrarelli, F., Smith, R., Dentico, D., Riedner, B.A., Zennig, C., Benca, R.M., ... & Tononi, G. (2013). Experienced mindfulness meditators exhibit higher parietal-occipital EEG Gamma activity during NREM sleep. //PLOS ONE, 8//(8). https://doi.org/10.1371/journal.pone.0073417
Gao, J.L., Fan, J.C., Wu, B.W.Y., Zhang, Z.G., Chang, C.Q., Hung, Y.S., ... & Sik, H.H. (2016). Entrainment of chaotic activities in brain and heart during MBSR mindfulness training. //Neuroscience Letters, 616//, 218-223. https://doi.org/10.1016/j.neulet.2016.01.001
Gartner, M., Irrmischer, M., Winnebeck, E., Fissler, M., Huntenburg, J.M., Schroeter, T.A., ... & Barnhofer, T. (2017). Aberrant long-range temporal correlations in depression are attenuated after psychological treatment. //Frontiers in Human Neuroscience, 11//,340. https://doi.org/10.3389/fnhum.2017.00340
Hashemi, A., Pino, L.J., Moffat, G., Mathewson, K.J., Aimone, C., Bennett, P.J., ... & Sekuler, A.B. (2016). Characterizing population EEG dynamics throughout adulthood. //eNeuro, 3//(6). https://doi.org/10.1523/ENEURO.0275-16.2016
Hauswald, A., Ubelacker, T., Leske, S., & Weisz, N. (2015). What it means to be Zen: Marked modulations of local and interareal synchronization during open monitoring meditation. //Neuroimage, 108//, 265-273. https://doi.org/10.1016/j.neuroimage.2014.12.065
Hinterberger, T., & Furnrohr, E. (2016). The Sensorium: Psychophysiological evaluation of responses to a multimodal neurofeedback environment. //Applied Psychophysiology and Biofeedback, 41//(3), 315-329. https://doi.org/10.1007/s10484-016-9332-2
Howells, F.M., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2012). Mindfulness based cognitive therapy improves frontal control in bipolar disorder: A pilot EEG study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-15
Jo, H.G., Malinowski, P., & Schmidt, S. (2017). Frontal theta dynamics during response conflict in long-term mindfulness meditators. //Frontiers in Human Neuroscience, 11//. https://doi.org/10.3389/fnhum.2017.00299
Kawashima, I., & Kumano, H. (2017). Prediction of mind-wandering with electroencephalogram and non-linear regression modeling. //Frontiers in Human Neuroscience, 11//. https://doi.org/10.3389/fnhum.2017.00365
Keune, P.M., Bostanov, V., Hautzinger, M., & Kotchoubey, B. (2011). Mindfulness-based cognitive therapy (MBCT), cognitive style, and the temporal dynamics of frontal EEG alpha asymmetry in recurrently depressed patients. //Biological Psychology, 88//(42769), 243-252. https://doi.org/10.1016/j.biopsycho.2011.08.008
Keune, P.M., Bostanov, V., Hautzinger, M., & Kotchoubey, B. (2013). Approaching dysphoric mood: State-effects of mindfulness meditation on frontal brain asymmetry. //Biological Psychology, 93//(1), 105-113. https://doi.org/10.1016/j.biopsycho.2013.01.016
Keune, P.M., Bostanov, V., Kotchoubey, B., & Hautzinger, M. (2012). Mindfulness versus rumination and behavioral inhibition: A perspective from research on frontal brain asymmetry. //Personality and Individual Differences, 53//(3), 323-328. https://doi.org/10.1016/j.paid.2012.03.034
Keune, P.M., Wiedemann, E., Schneidt, A., & Schonenberg, M. (2015). Frontal brain asymmetry in adult attention-deficit/hyperactivity disorder (ADHD): Extending the motivational dysfunction hypothesis. //Clinical Neurophysiology, 126//(4), 711-720. https://doi.org/10.1016/j.clinph.2014.07.008
Lagopoulos, J., Xu, J., Rasmussen, I., Vik, A., Malhi, G.S., Eliassen, C.F., ... & Ellingsen, O. (2009). Increased theta and alpha EEG activity during nondirective meditation. //Journal of Alternative and Complementary Medicine, 15//(11), 1187-1192. https://doi.org/10.1089/acm.2009.0113
Lehmann, D., Faber, P.L., Tei, S., Pascual-Marqui, R.D., Milz, P., & Kochi, K. (2012). Reduced functional connectivity between cortical sources in five meditation traditions detected with lagged coherence using EEG tomography. //Neuroimage, 60//(2), 1574-1586. https://doi.org/10.1016/j.neuroimage.2012.01.042
Pike, C., Vernon, D., & Hald, L.A. (2014). Asymmetric activation of the anterior cerebral cortex in recipients of IRECA: Preliminary evidence for the energetic effects of an intention-based biofield treatment modality on human neurophysiology. //Journal of Alternative and Complementary Medicine, 20//(10), 780-786. https://doi.org/10.1089/acm.2014.0074
Rodin, E., Bornfleth, H., & Johnson, M. (2017). DC-EEG recordings of mindfulness. //Clinical Neurophysiology, 128//(4), 512-519. https://doi.org/10.1016/j.clinph.2016.12.031
Schoenberg, P.L.A., & Speckens, A.E.M. (2015). Multi-dimensional modulations of alpha and gamma cortical dynamics following mindfulness-based cognitive therapy in major depressive disorder. //Cognitive Neurodynamics, 9//(1), 13-29. https://doi.org/10.1007/s11571-014-9308-y
Sik, H.H., Gao, J.L., Fan, J.C., Wu, B.W.Y., Leung, H.K., & Hung, Y.S. (2017). Using wavelet entropy to demonstrate how mindfulness practice increases coordination between irregular cerebral and cardiac activities. //JoVE: Journal of Visualized Experiments, 123//. https://doi.org/10.3791/55455
Stinson, B., & Arthur, D. (2013). A novel EEG for alpha brain state training, neurobiofeedback and behavior change. //Complementary Therapies in Clinical Practice, 19//(3), 114-118. https://doi.org/10.1016/j.ctcp.2013.03.003
Takahashi, T., Murata, T., Hamada, T., Omori, M., Kosaka, H., Kikuchi, M., ... & Wada, Y. (2005). Changes in EEG and autonomic nervous activity during meditation and their association with personality traits. //International Journal of Psychophysiology, 55//(2), 199-207. https://doi.org/10.1016/j.ijpsycho.2004.07.004
Tanaka, G.K., Peressutti, C., Teixeira, S., Cagy, M., Piedade, R., Nardi, A.E., ... & Velasques, B. (2014). Lower trait frontal theta activity in mindfulness meditators. //Arquivos De Neuro-psiquiatria, 72//(9), 687-693. https://doi.org/10.1590/0004-282X20140133
Travis, F. (2014). Transcendental experiences during meditation practice. //Annals of the New York Academy of Sciences , 1307//, 1-8. https://doi.org/10.1111/nyas.12316
Travis, F., & Arenander, A. (2006). Cross-sectional and longitudinal study of effects of transcendental meditation practice on interhemispheric frontal asymmetry and frontal coherence. //International Journal of Neuroscience, 116//(12), 1519-1538. https://doi.org/10.1080/00207450600575482
van Lutterveld, R., van Dellen, E., Pal, P., Yang, H., Stam, C.J., & Brewer, J. (2017). Meditation is associated with increased brain network integration. //Neuroimage, 158//, 18-25. https://doi.org/10.1016/j.neuroimage.2017.06.071
Wong, W.P., Camfield, D.A., Woods, W., Sarris, J., & Pipingas, A. (2015). Spectral power and functional connectivity changes during mindfulness meditation with eyes open: A magnetoencephalography (MEG) study in long-term meditators. //International Journal of Psychophysiology, 98//(1), 95-111. https://doi.org/10.1016/j.ijpsycho.2015.07.006
Zhou, R.L., & Liu, L. (2017). Eight-week mindfulness training enhances left frontal EEG asymmetry during emotional challenge: A randomized controlled trial. //Mindfulness, 8//(1), 181-189. https://doi.org/10.1007/s12671-016-0591-z
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
iVBORw0KGgoAAAANSUhEUgAAAL0AAAAeCAIAAAD2PYgnAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAAL8SURBVHhe7ZbrYVsxCIU9VwbyPJ7Gy2QYV4AEByTd2sRtbZfvTwHxku5J0tOtKB6ndFNkKN0UGUo3RYbSTZGhdFNkKN0UGUo3RYbSTZGhdFNkKN0UGR7WzfV8Op2v3XkH3m5h4cXXfk3dfF++njYFFt625QPk6/Ldj37HM1dFSjcJ/qJuRDJBJxK8a4HSzX28+H1mDhemw/Xvlj+lh3t5b93Q9p1+CbmP/EBCmAhXRbfZ7fNYtxH3X8c838rqwke2NRqW7whrYJq52uh8bUGJhcLl/g1Ma1gORj27HOyPbRcjlr3hOUI6sv45eZAj3dBAHXI9iylb9DAvCinb6+2r+ITTONwLoLaFdQKmeAf6BOIaltM86UydxOIusCYW3nHraGsSsMshexywvW7bCO4Aw+NrcRAnrDbKsNeN/yzKwR1yR+yczpdJBZCvUBxexKXAGYJ5rkYdjIJYom60cNeTCmCB4ArbHGqD2esRTHA71GoK+3HrwhR73cSLdA7ukDtqkAs/Xg2f0M87stT8VZYP51uhrQ1cp5Yx7F1hY31EVsBv2NjlTMuvRzDBVUZvHEoxvNC0UJJX0A2/mb8vJJCpJ+a4r81MTy/gLLQpne1l0Ie9s+tJ1uLFHLucafn1CCa4ATq1x+S+yr7qUf7936k+h//RF7UEsuyhzZvXCzMGGEabGrBNhvSk455gQSb0XvecV5rZ5oQJmxFMTJ3RKWQcpyY5+H8xD8cvyQsc3AELKA4C31eRCUqAcknQJ+hRW4k9beo8dKyVt83hEQR5XDocxRVue/oXo5N+wE3FvidHbBsRXwaOrMo6SZTz9WoDm/wzDnTTwLFwJd1v6QryG2Qc7arIsKvwOI2PfFiC//cMV7dx/kU43uuxFdrROySk7nvii9lGlGNJ6xyMtyg5YaIwP+xwLMdtByN4AnTNc6ybT0de+ikP+ZKQTlCZfGEXyPJ/64awn3LlY4TEdzOdBPcnlG4+HPzj9SzRNEo3RYbSTZGhdFNkKN0Uj3O7/QJ166/VGYm/ZgAAAABJRU5ErkJggg==
Bornemann, B., & Singer, T. (2017). Taking time to feel our body: Steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. //Psychophysiology, 54//(3), 469-482. https://doi.org/10.1111/psyp.12790
Brendel, W., & Bennett, C. (2016). Learning to embody leadership through mindfulness and somatics practice. //Advances in Developing Human Resources, 18//(3), 409-425. https://doi.org/10.1177/1523422316646068
Cebolla, A., Miragall, M., Palomo, P., Llorens, R., Soler, J., Demarzo, M., ... & Banos, R.M. (2016). Embodiment and body awareness in meditators. //Mindfulness, 7//(6), 1297-1305. https://doi.org/10.1007/s12671-016-0569-x
Chari, A. (2016). The political potential of mindful embodiment. //New Political Science, 38//(2), 226-240. https://doi.org/10.1080/07393148.2016.1153192
de Castro, J.M. (2015). Meditation has stronger relationships with mindfulness, kundalini, and mystical experiences than yoga or prayer. //Consciousness and Cognition, 35//, 115-127. https://doi.org/10.1016/j.concog.2015.04.022
Doran, N.J. (2014). Experiencing wellness within illness: Exploring a mindfulness-based approach to chronic back pain. //Qualitative Health Research, 24//(6), 749-760. https://doi.org/10.1177/1049732314529662
Ergas, O. (2014). Overcoming the philosophy/life, body/mind rift: Demonstrating yoga as embodied-lived-philosophical-practice. //Educational Philosophy and Theory, 46//(1), 74-86. https://doi.org/10.1111/j.1469-5812.2011.00811.x
Francesconi, D., & Tarozzi, M. (2012). Embodied education: A convergence of phenomenological pedagogy and embodiment. //Studia Phaenomenologica, 12//, 263-288. http://dx.doi.org/10.7761/SP.12.263
Hall, M.P., O'Hare, A., Santavicca, N., & Jones, L.F. (2015). The power of deep reading and mindful literacy: An innovative approach in contemporary education. //Innovacion Educativa-Mexico, 15//(67), 49-59. http://www.scielo.org.mx/pdf/ie/v15n67/v15n67a4.pdf
Hanley, A.W., Mehling, W.E., & Garland, E.L. (2017). Holding the body in mind: Interoceptive awareness, dispositional mindfulness and psychological well-being. //Journal of Psychosomatic Research, 99//, 13-20. https://doi.org/10.1016/j.jpsychores.2017.05.014
Kharlas, D.A., & Frewen, P. (2016). Trait mindfulness correlates with individual differences in multisensory imagery vividness. //Personality and Individual Differences, 93//, 44-50. https://doi.org/10.1016/j.paid.2015.09.027
Lord, S.A. (2010). Meditative dialogue: Cultivating sacred space in psychotherapy - an intersubjective fourth?//Smith College Studies in Social Work, 80//(42769), 269-285. https://doi.org/10.1080/00377311003754187
Lozada, M., D'Adamo, P., & Carro, N. (2014). Plasticity of altruistic behavior in children. //Journal of Moral Education, 43//(1), 75-88. https://doi.org/10.1080/03057240.2013.878244
Michalak, J., Burg, J., & Heidenreich, T. (2012). Don't forget your body: Mindfulness, embodiment, and the treatment of depression. //Mindfulness, 3//(3), 190-199. https://doi.org/10.1007/s12671-012-0107-4
Michalak, J., Troje, N.F., & Heidenreich, T. (2011). The effects of mindfulness-based cognitive therapy on depressive gait patterns. //Journal of Cognitive and Behavioral Psychotherapies, 11//(1), 13-27. https://pdfs.semanticscholar.org/81d7/686307ecaaee7ca15256c07554059c34b048.pdf
Narayanan, V.H. (2016). Revisiting the self: A //sine qua non// for understanding embodiment. //AI & Society, 31//(1), 79-84. https://doi.org/10.1007/s00146-014-0574-3
Pulkki, J., Bo, D.L., & Varri, V.M. (2017). Environmental education as a lived-body practice? a contemplative pedagogy perspective. //Journal of Philosophy of Education, 51//(1), 214-229. https://doi.org/10.1111/1467-9752.12209
Rova, M. (2017). Embodying kinaesthetic empathy through interdisciplinary practice-based research. //Arts in Psychotherapy, 55//, 164-173. https://doi.org/10.1016/j.aip.2017.04.008
Schmalzl, L., Crane-Godreau, M.A., & Payne, P. (2014). Movement-based embodied contemplative practices: Definitions and paradigms. //Frontiers in Human Neuroscience, 8//,205. https://doi.org/10.3389/fnhum.2014.00205
Smith, S.E., Barnes, E.S., Mason, J., & Broome, J. (2016). Place, workplace, and mindful movement. //Learning Communities-international Journal of Learning in Social Contexts, 20//, 4-19. http://doi.org/10.18793/LCJ2016.20.02
Teng, S.C., & Lien, Y.W. (2016). What Confucius practiced is good for your mind: Examining the effect of a contemplative practice in Confucian tradition on executive functions. //Consciousness and Cognition, 42//, 204-215. https://doi.org/10.1016/j.concog.2016.03.016
Virtbauer, G. (2016). Presencing process: Embodiment and healing in the Buddhist practice of mindfulness of breathing. //Mental Health Religion & Culture, 19//(1), 68-81. https://doi.org/10.1080/13674676.2015.1115474
Whitesman, S., & Mash, R. (2016). Examining the effects of a mindfulness-based distance learning professional training module on personal and professional functioning: A qualitative study. //BMC Medical Education, 16//, 287. https://doi.org/10.1186/s12909-016-0810-2
Ahlskog, R. (2017). Moral enhancement should target self-interest and cognitive capacity. //Neuroethics, 10//(3), 363-373. https://doi.org/10.1007/s12152-017-9331-x
Andersen, D.T. (2005). Empathy, psychotherapy integration, and meditation: A Buddhist contribution to the common factors movement. //Journal of Humanistic Psychology, 45//(4), 483-502. https://doi.org/10.1177/0022167805280264
Asuero, A.M., Queralto, J.M., Pujol-Ribera, E., Berenguera, A., Rodriguez-Blanco, T., & Epstein, R.M. (2014). Effectiveness of a mindfulness education program in primary health care professionals: A pragmatic controlled trial. //Journal of Continuing Education in the Health Professions, 34//(1), 4-12. https://doi.org/10.1002/chp.21211
Beddoe, A.E., & Murphy, S.O. (2004). Does mindfulness decrease stress and foster empathy among nursing students?. //Journal of Nursing Education, 43//(7), 305-312. https://doi.org/10.3928/01484834-20040701-07
Birnie, K., Speca, M., & Carlson, L.E. (2010). Exploring self-compassion and empathy in the context of mindfulness-based stress reduction (MBSR). //Stress and Health, 26//(5), 359-371. https://doi.org/10.1002/smi.1305
Block-Lerner, J., Adair, C., Plumb, J.C., Rhatigan, D.L., & Orsillo, S.M. (2007). The case for mindfulness-based approaches in the cultivation of empathy: Does nonjudgmental, present-moment awareness increase capacity for perspective-taking and empathic concern?. //Journal of Marital and Family Therapy, 33//(4), 501-516. https://doi.org/10.1111/j.1752-0606.2007.00034.x
Bohecker, L., & Horn, E.A.D. (2016). Increasing students' empathy and counseling self-efficacy through a mindfulness experiential small group. //Journal for Specialists in Group Work, 41//(4), 312-333. https://doi.org/10.1080/01933922.2016.1232322
Burks, D.J., & Kobus, A.M. (2012). The legacy of altruism in health care: The promotion of empathy, prosociality and humanism. //Medical Education, 46//(3), 317-325. https://doi.org/10.1111/j.1365-2923.2011.04159.x
Cacciatore, J., Thieleman, K., Killian, M., & Tavasolli, K. (2015). Braving human suffering: Death education and its relationship to empathy and mindfulness. //Social Work education, 34//(1), 91-109. https://doi.org/10.1080/02615479.2014.940890
Challita, M. (2016). From empathic mind to moral behaviour: The "who", "why" and "how". //Medicine Health Care and Philosophy, 19//(4), 517-522. https://doi.org/10.1007/s11019-016-9694-5
Chanler, A. (2017). Mindfulness meets enmeshment: Disentangling without detaching with embodied self-empathy as a guide. //Spirituality in Clinical Practice, 4//(2), 145-151. https://doi.org/10.1037/scp0000130
Chen, A.K., Kumar, A., & Haramati, A. (2016). The effect of mind body medicine course on medical student empathy: A pilot study. //Medical Education Online, 21//, 31196. https://doi.org/10.3402/meo.v21.31196
Duarte, J., Pinto-Gouveia, J., & Cruz, B. (2016). Relationships between nurses' empathy, self-compassion and dimensions of professional quality of life: A cross-sectional study. //International Journal of Nursing Studies, 60//, 1-11. https://doi.org/10.1016/j.ijnurstu.2016.02.015
Ekman, E., & Krasner, M. (2017). Empathy in medicine: Neuroscience, education and challenges. //Medical Teacher, 39//(2), 164-173. https://doi.org/10.1080/0142159X.2016.1248925
Fulton, C.L., & Cashwell, C.S. (2015). Mindfulness-based awareness and compassion: Predictors of counselor empathy and anxiety. //Counselor Education and Supervision, 54//(2), 122-133. https://doi.org/10.1002/ceas.12009
Galantino, M.L., Baime, M., Maguire, M., Szapary, P.O., & Farrar, J.T. (2005). Short communication: Association of psychological and physiological measures of stress in health-care professionals during an 8-week mindfulness meditation program: Mindfulness in practice. //Stress and Health, 21//(4), 255-261. https://doi.org/10.1002/smi.1062
Greenberg, M.T., & Turksma, C. (2015). Understanding and watering the seeds of compassion. //Research in Human Development, 12//(3-4), 280-287. https://doi.org/10.1080/15427609.2015.1068060
Holthouser, B., & Bui, N.H. (2016). Meditative interventions and antisocial personality disorder. //Counselling Psychology Quarterly, 29//(3), 235-252. https://doi.org/10.1080/09515070.2015.1026311
Horsthemke, K. (2015). Epistemic empathy in childrearing and education. //Ethics and Education, 10//(1), 61-72. https://doi.org/10.1080/17449642.2014.998025
Hunsinger, M., Livingston, R., & Isbell, L. (2014). Spirituality and intergroup harmony: Meditation and racial prejudice. //Mindfulness, 5//(2), 139-144. https://doi.org/10.1007/s12671-012-0159-5
Kemper, K.J., Gascon, G., & Mahan, J.D. (2015). Two new scales for integrative medical education and research: Confidence in providing calm, compassionate care scale (CCCS) and self-efficacy in providing non-drug therapies (SEND) to relieve common symptoms. //European Journal of Integrative Medicine, 7//(4), 389-395. https://doi.org/10.1016/j.eujim.2014.10.010
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., ... & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. //JAMA: Journal of the American Medical Association, 302//(12), 1284-1293. https://doi.org/10.1001/jama.2009.1384
Kristeller, J.L., & Johnson, T. (2005). Science looks at spirituality - cultivating loving kindness: A two-stage model of the effects of meditation on empathy, compassion, and altruism. //Zygon, 40//(2), 391-407. https://doi.org/10.1111/j.1467-9744.2005.00671.x
Laneri, D., Krach, S., Paulus, F.M., Kanske, P., Schuster, V., Sommer, J., ... & Muller-Pinzler, L. (2017). Mindfulness meditation regulates anterior insula activity during empathy for social pain. //Human Brain Mapping, 38//(8), 4034-4046. https://doi.org/10.1002/hbm.23646
Leppma, M., & Young, M.E. (2016). Loving-kindness meditation and empathy: A wellness group intervention for counseling students. //Journal of Counseling and Development, 94//(3), 297-305. https://doi.org/10.1002/jcad.12086
Levin, M.E., Luoma, J.B., Vilardaga, R., Lillis, J., Nobles, R., & Hayes, S.C. (2016). Examining the role of psychological inflexibility, perspective taking, and empathic concern in generalized prejudice. //Journal of Applied Social Psychology, 46//(3), 180-191. https://doi.org/10.1111/jasp.12355
Lim, D., Condon, P., & DeSteno, D. (2015). Mindfulness and compassion: An examination of mechanism and scalability. //PLOS ONE, 10//(2), e0118221. https://doi.org/10.1371/journal.pone.0118221
Lord, S.A. (2013). Meditative dialogue: Cultivating compassion and empathy with survivors of complex childhood trauma. //Journal of Aggression Maltreatment & Trauma, 22//(9), 997-1014. https://doi.org/10.1080/10926771.2013.834018
Miyata, H., Okanoya, K., & Kawai, N. (2015). Mindfulness and psychological status of Japanese yoga practitioners: A cross-sectional study. //Mindfulness, 6//(3), 560-571. https://doi.org/10.1007/s12671-014-0288-0
Nilsson, H. (2016). Socioexistential mindfulness: Bringing empathy and compassion into health care practice. //Spirituality in Clinical Practice, 3//(1), 22-31. https://doi.org/10.1037/scp0000092
Parameshwaran, R. (2015). Theory and practice of chaplain's spiritual care process: A psychiatrist's experiences of chaplaincy and conceptualizing trans-personal model of mindfulness. //Indian Journal of Psychiatry, 57//(1), 21-29. https://doi.org/10.4103/0019-5545.148511
Perez-Bret, E., Altisent, R., & Rocafort, J. (2016). Definition of compassion in healthcare: A systematic literature review. //International Journal of Palliative Nursing, 22//(12), 599-606. https://doi.org/10.12968/ijpn.2016.22.12.599
Petchkovsky, L., Petchkovsky, M., Morris, P., Dickson, P., Montgomery, D., Dwyer, J., ... & Burnett, P. (2013). fMRI responses to jung's word association test: Implications for theory, treatment and research. //Journal of Analytical Psychology, 58//(3), 409-431. https://doi.org/10.1111/1468-5922.12021
Ridderinkhof, A., de Bruin, E.I., Brummelman, E., & Bogels, S.M. (2017). Does mindfulness meditation increase empathy? An experiment. //Self and Identity, 16//(3), 251-269. https://doi.org/10.1080/15298868.2016.1269667
Sahdra, B.K., Ciarrochi, J., Parker, P.D., Marshall, S., & Heaven, P. (2015). Empathy and nonattachment independently predict peer nominations of prosocial behavior of adolescents. //Frontiers in Psychology, 6//,263. https://doi.org/10.3389/fpsyg.2015.00263
Schonert-Reichl, K.A., Oberle, E., Lawlor, M.S., Abbott, D., Thomson, K., Oberlander, T.F., ... & Diamond, A. (2015). Enhancing cognitive and social-emotional development through a simple-to-administer mindfulness-based school program for elementary school children: A randomized controlled trial. //Developmental Psychology, 51//(1), 52-66. https://doi.org/10.1037/a0038454
Singh, A., Sengupta, S., & Sharma, S. (2016). Empathy and mindfulness: Potential antecedents to authentic leadership. //International Journal of Human Capital and Information Technology Professionals, 7//(4), 1-14. https://doi.org/10.4018/IJHCITP.2016100101
Sundling, V., Sundler, A.J., Holmstrom, I.K., Kristensen, D.V., & Eide, H. (2017). Mindfulness predicts student nurses' communication self-efficacy: A cross-national comparative study. //Patient Education and Counseling, 100//(8), 1558-1563. https://doi.org/10.1016/j.pec.2017.03.016
Trent, N.L., Park, C., Bercovitz, K., & Chapman, I.M. (2016). Trait socio-cognitive mindfulness is related to affective and cognitive empathy. //Journal of Adult Development, 23//(1), 62-67. https://doi.org/10.1007/s10804-015-9225-2
Van Doesum, N.J., Van Lange, D.A.W., & Van Lange, P.A.M. (2013). Social mindfulness: Skill and will to navigate the social world. //Journal of Personality and Social Psychology, 105//(1), 86-103. https://doi.org/10.1037/a0032540
Wallace, B.A. (2001). Intersubjectivity in Indo-Tibetan Buddhism. //Journal of Consciousness Studies, 8//(42862), 209-230. https://psycnet.apa.org/record/2001-07704-012
Wallmark, E., Safarzadeh, K., Daukantaite, D., & Maddux, R.E. (2013). Promoting altruism through meditation: An 8-week randomized controlled pilot study. //Mindfulness, 4//(3), 223-234. https://doi.org/10.1007/s12671-012-0115-4
Welp, L.R., & Brown, C.M. (2014). Self-compassion, empathy, and helping intentions. //Journal of Positive Psychology, 9//(1), 54-65. https://doi.org/10.1080/17439760.2013.831465
Winning, A.P., & Boag, S. (2015). Does brief mindfulness training increase empathy? The role of personality. //Personality and Individual Differences, 86//, 492-498. https://doi.org/10.1016/j.paid.2015.07.011
Zeng, X.L., Chan, V.Y.L., Oei, T.P.S., Leung, F.Y.K., & Liu, X.P. (2017). Appreciative joy in Buddhism and positive empathy in psychology: How do they differ?. //Mindfulness, 8//(5), 1184-1194. https://doi.org/10.1007/s12671-017-0690-5
Burdett, B.R.D., Charlton, S.G., & Starkey, N.J. (2016). Not all minds wander equally: The influence of traits, states and road environment factors on self-reported mind wandering during everyday driving. //Accident Analysis and Prevention, 95//, 1-7. https://doi.org/10.1016/j.aap.2016.06.012
Cardena, E., Sjostedt, J.O.A., & Marcusson-Clavertz, D. (2015). Sustained attention and motivation in Zen meditators and non-meditators. //Mindfulness, 6//(5), 1082-1087. https://doi.org/10.1007/s12671-014-0357-4
Carriere, J.S.A., Cheyne, J.A., & Smilek, D. (2008). Everyday attention lapses and memory failures: The affective consequences of mindlessness. //Consciousness and Cognition, 17//(3), 835-847. https://doi.org/10.1016/j.concog.2007.04.008
Cheyne, J.A., Carriere, J.S.A., & Smilek, D. (2006). Absent-mindedness: Lapses of conscious awareness and everyday cognitive failures. //Consciousness and Cognition, 15//(3), 578-592. https://doi.org/10.1016/j.concog.2005.11.009
Eichel, K., & Stahl, J. (2017). The role of mindfulness and emotional stability in error detection. //Mindfulness, 8//(2), 311-324. https://doi.org/10.1007/s12671-016-0601-1
Jha, A.P., Morrison, A.B., Dainer-Best, J., Parker, S., Rostrup, N., & Stanley, E.A. (2015). Minds "at attention": Mindfulness training curbs attentional lapses in military cohorts. //PLOS ONE, 10//(2). https://doi.org/10.1371/journal.pone.0116889
Kontogiannis, T., & Malakis, S. (2009). A proactive approach to human error detection and identification in aviation and air traffic control. //Safety Science, 47//(5), 693-706. https://doi.org/10.1016/j.ssci.2008.09.007
Larson, M.J., Steffen, P.R., & Primosch, M. (2013). The impact of a brief mindfulness meditation intervention on cognitive control and error-related performance monitoring. //Frontiers in Human Neuroscience, 7//, 308. https://doi.org/10.3389/fnhum.2013.00308
Qu, W.N., Ge, Y., Zhang, Q., Zhao, W.G., & Zhang, K. (2015). Assessing dangerous driving behavior during driving inattention: Psychometric adaptation and validation of the attention-related driving errors scale in China. //Accident Analysis and Prevention, 80//, 172-177. https://doi.org/10.1016/j.aap.2015.04.009
Qu, W.N., Zhang, H.H., Zhao, W.G., Zhang, K., & Ge, Y. (2016). The effect of cognitive errors, mindfulness and personality traits on pedestrian behavior in a chinese sample. //Transportation Research Part F: Traffic Psychology and Behaviour, 41//, 29-37. https://doi.org/10.1016/j.trf.2016.06.009
Tarrasch, R., Berman, Z., & Friedmann, N. (2016). Mindful reading: Mindfulness meditation helps keep readers with dyslexia and ADHD on the lexical track. //Frontiers in Psychology, 7//, 578. https://doi.org/10.3389/fpsyg.2016.00578
Ahlskog, R. (2017). Moral enhancement should target self-interest and cognitive capacity. //Neuroethics, 10//(3), 363-373. https://doi.org/10.1007/s12152-017-9331-x
Alfieri, A.V. (2012). Educating lawyers for community. //Wisconsin Law Review, 2012//, 115-158. https://dx.doi.org/10.2139/ssrn.1991160
Bowtell, E.C., Sawyer, S.M., Aroni, R.A., Green, J.B., & Duncan, R.E. (2013). Should I send a condolence card? Promoting emotional safety in qualitative health research through reflexivity and ethical mindfulness. //Qualitative Inquiry, 19//(9), 652-663. https://doi.org/10.1177/1077800413500927
D'Cruz, H., & Gillingham, P. (2017). Participatory research ideals and practice experience: Reflections and analysis. //Journal of Social Work, 17//(4), 434-452. https://doi.org/10.1177/1468017316644704
Dalal, N. (2015). Responding to plagiarism using reflective means. //International Journal for Educational Integrity, 11//,4. https://doi.org/10.1007/s40979-015-0002-6
Eide, T., van Dulmen, S., & Eide, H. (2016). Educating for ethical leadership through web-based coaching: A feasibility study. //Nursing Ethics, 23//(8), 851-865. https://doi.org/10.1177/0969733015584399
Eisenbeiss, S.A., & van Knippenberg, D. (2015). On ethical leadership impact: The role of follower mindfulness and moral emotions. //Journal of Organizational Behavior, 36//(2), 182-195. https://doi.org/10.1002/job.1968
Fyke, J.P., & Buzzanell, P.M. (2013). The ethics of conscious capitalism: Wicked problems in leading change and changing leaders. //Human Relations, 66//(12), 1619-1644. https://doi.org/10.1177/0018726713485306
George, K.M. (2008). Ethical pleasure, visual //dzikir//, and artistic subjectivity in contemporary Indonesia. //Material Religion, 4//(2), 172-192. https://doi.org/10.2752/175183408X328299
Gonzalez-Lopez, G. (2011). Mindful ethics: Comments on informant-centered practices in sociological research. //Qualitative Sociology, 34//(3), 447-461. https://doi.org/10.1007/s11133-011-9199-8
Goodenough, U. (2003). Religious naturalism and naturalizing morality. //Zygon, 38//(1), 101-109. https://doi.org/10.1111/1467-9744.00482
Gu, J., Zhong, C.B., & Page-Gould, E. (2013). Listen to your heart: When false somatic feedback shapes moral behavior. //Journal of Experimental Psychology: General, 142//(2), 307-312. https://doi.org/10.1037/a0029549
Guillemin, M., & Gillam, L. (2015). Emotions, narratives, and ethical mindfulness. //Academic Medicine, 90//(6), 726-731. https://doi.org/10.1097/ACM.0000000000000709.
Guillemin, M., & Heggen, K. (2009). Rapport and respect: Negotiating ethical relations between researcher and participant. //Medicine Health Care and Philosophy, 12//(3), 291-299. https://doi.org/10.1007/s11019-008-9165-8
Harrington, A., & Dunne, J.D. (2015). When mindfulness is therapy: Ethical qualms, historical perspectives. //American Psychologist, 70//(7), 621-631. https://doi.org/10.1037/a0039460
Hedberg, P.R. (2017). Guiding moral behavior through a reflective learning practice. //Journal of Management education, 41//(4), 514-538. https://doi.org/10.1177/1052562917695199
Huhtala, M., Kinnunen, U., & Feldt, T. (2017). School psychologists' ethical strain and rumination: Individual profiles and their associations with weekly well-being. //Psychology in the Schools, 54//(2), 127-141. https://doi.org/10.1002/pits.21992
Jensen, G.M., Randall, A.D., & Wharton, M.A. (2012). Cognitive impairment in older adults: The role of ethical mindfulness. //Topics in Geriatric Rehabilitation, 28//(3), 163-170. https://doi.org/10.1097/TGR.0b013e31825932d0
Kemmerer, L. (2007). In retreat: Thich Nhat Hanh in Colorado. //Contemporary Buddhism, 8//(1), 49-56. https://doi.org/10.1080/14639940701295641
Kopacz, M.S., Connery, A.L., Bishop, T.M., Bryan, C.J., Drescher, K.D., Currier, J.M., ... & Pigeon, W.R. (2016). Moral injury: A new challenge for complementary and alternative medicine. //Complementary Therapies in Medicine, 24//, 29-33. https://doi.org/10.1016/j.ctim.2015.11.003
Krageloh, C.U. (2016). Importance of morality in mindfulness practice. //Counseling and Values, 61//(1), 97-110. https://doi.org/10.1002/cvj.12028
Mintz, S. (2016). Mindful skin: Disability and the ethics of touch in life writing. //Life Writing, 13//(1), 47-62. https://doi.org/10.1080/14484528.2016.1132916
Monteiro, L.M., Musten, R.F., & Compson, J. (2015). Traditional and contemporary mindfulness: Finding the middle path in the tangle of concerns. //Mindfulness, 6//(1), 1-13. https://doi.org/10.1007/s12671-014-0301-7
Parsons, S.F. (2012). The practice of Christian ethics: Mindfulness and faith. //Studies in Christian Ethics, 25//(4), 442-453. https://doi.org/10.1177/0953946812454790
Pembroke, N. (2016). Contributions from Christian ethics and Buddhist philosophy to the management of compassion fatigue in nurses. //Nursing & Health Sciences, 18//(1), 120-124. https://doi.org/10.1111/nhs.12252
Ruedy, N.E., & Schweitzer, M.E. (2010). In the moment: The effect of mindfulness on ethical decision making. //Journal of Business Ethics, 95//, 73-87. https://doi.org/10.1007/s10551-011-0796-y
Schmidt, A.T. (2016). The ethics and politics of mindfulness-based interventions. //Journal of Medical Ethics, 42//(7), 450-454. https://doi.org/10.1136/medethics-2015-102942
Shapiro, S.L., Jazaieri, H., & Goldin, P.R. (2012). Mindfulness-based stress reduction effects on moral reasoning and decision making. //Journal of Positive Psychology, 7//(6), 504-515. https://doi.org/10.1080/17439760.2012.723732
Strassberg, B.A. (2003). The plague of blood: HIV/AIDS and ethics of the global health-care challenge. //Zygon, 38//(1), 169-184. https://doi.org/10.1111/1467-9744.00490
Thomas, T., Schermerhorn, J.R., & Dienhart, J.W. (2004). Strategic leadership of ethical behavior in business. //Academy of Management Executive, 18//(2), 56-66. https://doi.org/10.5465/ame.2004.13837425
Thurman, S.L. (2015). Ethical considerations in longitudinal studies of human infants. //Infant Behavior & Development, 38//, 116-125. https://doi.org/10.1016/j.infbeh.2014.12.012
Urban, P. (2015). Enactivism and care ethics: Merging perspectives. //Filozofia, 70//(2), 119-129. http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.cejsh-2d548bb7-652a-4ed1-b4a2-2e13f9aa0219
Valentine, S., Godkin, L., & Varca, P.E. (2010). Role conflict, mindfulness, and organizational ethics in an education-based healthcare institution. //Journal of Business Ethics, 94//(3), 455-469. https://doi.org/10.1007/s10551-009-0276-9
Verhezen, P. (2010). Giving voice in a culture of silence. from a culture of compliance to a culture of integrity. //Journal of Business Ethics, 96//(2), 187-206. https://doi.org/10.1007/s10551-010-0458-5
Waistell, J., & Scherer, B. (2017). Inter-(c)are: Höpfl and Hanh metaphorical mediation of intercorporeal ethicality. //Culture and Organization, 23//(2), 118-130. https://doi.org/10.1080/14759551.2016.1239103.
Warin, J. (2011). Ethical mindfulness and reflexivity: Managing a research relationship with children and young people in a 14-year qualitative longitudinal research (QLR) study. //Qualitative Inquiry, 17//(9), 805-814. https://doi.org/10.1177/1077800411423196
West, W. (2002). Some ethical dilemmas in counselling and counselling research. //British Journal of Guidance & Counselling, 30//(3), 261-268. https://doi.org/10.1080/0306988021000002308
Zoghbi-Manrique-de-Lara, P., & Guerra-Baez, R. (2016). Exploring the influence of ethical climate on employee compassion in the hospitality industry. //Journal of Business Ethics, 133//(3), 605-617. https://doi.org/10.1007/s10551-014-2415-1
Bluth, K., Campo, R.A., Pruteanu-Malinici, S., Reams, A., Mullarkey, M., & Broderick, P.C. (2016). A school-based mindfulness pilot study for ethnically diverse at-risk adolescents. //Mindfulness, 7//(1), 90-104. https://doi.org/10.1007/s12671-014-0376-1
Chesin, M.S., & Jeglic, E.L. (2016). Factors associated with recurrent suicidal ideation among racially and ethnically diverse college students with a history of suicide attempt: The role of mindfulness. //Archives of Suicide Research, 20//(1), 29-44. https://doi.org/10.1080/13811118.2015.1004488
Fung, J., Guo, S.S., Jin, J., Bear, L., & Lau, A. (2016). A pilot randomized trial evaluating a school-based mindfulness intervention for ethnic minority youth. //Mindfulness, 7//(4), 819-828. https://doi.org/10.1007/s12671-016-0519-7
Gaztambide, D.J. (2012). Addressing cultural impasses with rupture resolution strategies: A proposal and recommendations. //Professional Psychology: Research and Practice, 43//(3), 183-189. https://doi.org/10.1037/a0026911
Hunsinger, M., Livingston, R., & Isbell, L. (2014). Spirituality and intergroup harmony: Meditation and racial prejudice. //Mindfulness, 5//(2), 139-144. https://doi.org/10.1007/s12671-012-0159-5
Le, T.N., & Proulx, J. (2015). Feasibility of mindfulness-based intervention for incarcerated mixed-ethnic Native Hawaiian/Pacific Islander youth. //Asian American Journal of Psychology, 6//(2), 181-189. https://doi.org/10.1037/aap0000019
Sobczak, L.R., & West, L.M. (2013). Clinical considerations in using mindfulness- and acceptance-based approaches with diverse populations: Addressing challenges in service delivery in diverse community settings. //Cognitive and Behavioral Practice, 20//(1), 13-22. https://doi.org/10.1016/j.cbpra.2011.08.005
Witkiewitz, K., Greenfield, B.L., & Bowen, S. (2013). Mindfulness-based relapse prevention with racial and ethnic minority women. //Addictive Behaviors, 38//(12), 2821-2824. https://doi.org/10.1016/j.addbeh.2013.08.018
Womack, V.Y., & Sloan, L.R. (2017). The association of mindfulness and racial socialization messages on approach-oriented coping strategies among African Americans. //Journal of Black Studies, 48//(4), 408-426. https://doi.org/10.1177/0021934717696789
Atchley, R., Klee, D., Memmott, T., Goodrich, E., Wahbeh, H., & Oken, B. (2016). Event-related potential correlates of mindfulness meditation competence. //Neuroscience, 320//, 83-92. https://doi.org/10.1016/j.neuroscience.2016.01.051
Biedermann, B., de Lissa, P., Mahajan, Y., Polito, V., Badcock, N., Connors, M.H., ... & McArthur, G. (2016). Meditation and auditory attention: An ERP study of meditators and non-meditators. //International Journal of Psychophysiology, 109//, 63-70. https://doi.org/10.1016/j.ijpsycho.2016.09.016
Brown, K.W., Goodman, R.J., & Inzlicht, M. (2013). Dispositional mindfulness and the attenuation of neural responses to emotional stimuli. //Social Cognitive and Affective Neuroscience, 8//(1), 93-99. https://doi.org/10.1093/scan/nss004
Cahn, B.R., & Polich, J. (2009). Meditation (Vipassana) and the P3a event-related brain potential. //International Journal of Psychophysiology, 72//(1), 51-60. https://doi.org/10.1016/j.ijpsycho.2008.03.013
Cheng, K.S., Chang, Y.F., Han, R.P.S., & Lee, P.F. (2017). Enhanced conflict monitoring via a short-duration, video-assisted deep breathing in healthy young adults: An event-related potential approach through the Go/NoGo paradigm. //PeerJ, 5//, e3857. https://doi.org/10.7717/peerj.3857
Delgado-Pastor, L.C., Perakakis, P., Subramanya, P., Telles, S., & Vila, J. (2013). Mindfulness (Vipassana) meditation: Effects on P3b event-related potential and heart rate variability. //International Journal of Psychophysiology, 90//(2), 207-214. https://doi.org/10.1016/j.ijpsycho.2013.07.006
Eddy, M.D., Brunye, T.T., Tower-Richardi, S., Mahoney, C.R., & Taylor, H.A. (2015). The effect of a brief mindfulness induction on processing of emotional images: an ERP study. //Frontiers in Psychology, 6//, 1391. https://doi.org/10.3389/fpsyg.2015.01391
Eichel, K., & Stahl, J. (2017). The role of mindfulness and emotional stability in error detection. //Mindfulness, 8//(2), 311-324. https://doi.org/10.1007/s12671-016-0601-1
Ho, N.S.P., Sun, D.L., Ting, K.H., Chan, C.C.H., & Lee, T.M.C. (2015). Mindfulness trait predicts neurophysiological reactivity associated with negativity bias: An ERP study. //Evidence-based Complementary and Alternative Medicine//, 212368. https://doi.org/10.1155/2015/212368
Howells, F.M., Rauch, H.G.L., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2014). Mindfulness based cognitive therapy may improve emotional processing in bipolar disorder: Pilot ERP and HRV study. //Metabolic Brain Disease, 29//(2), 367-375. https://doi.org/10.1007/s11011-013-9462-7
Larson, M.J., Steffen, P.R., & Primosch, M. (2013). The impact of a brief mindfulness meditation intervention on cognitive control and error-related performance monitoring. //Frontiers in Human Neuroscience, 7//, 308. https://doi.org/10.3389/fnhum.2013.00308
Lin, Y.L., Fisher, M.E., Roberts, S.M.M., & Moser, J.S. (2016). Deconstructing the emotion regulatory properties of mindfulness: An electrophysiological investigation. //Frontiers in Human Neuroscience, 10//, 457. https://doi.org/10.3389/fnhum.2016.00451
Reva, N.V., Pavlov, S.V., Loktev, K.V., Korenyok, V.V., & Aftanas, L.I. (2014). Influence of long-term Sahaja Yoga meditation practice on emotional processing in the brain: An ERP study. //Neuroscience, 281//, 195-201. https://doi.org/10.1016/j.neuroscience.2014.09.053
Sanger, K.L., & Dorjee, D. (2016). Mindfulness training with adolescents enhances metacognition and the inhibition of irrelevant stimuli: Evidence from event-related brain potentials. //Trends in Neuroscience and Education, 5//(1), 1-11. https://doi.org/10.1016/j.tine.2016.01.001
Schoenberg, P.L.A., Hepark, S., Kan, C.C., Barendregt, H.P., Buitelaar, J.K., & Speckens, A.E.M. (2014). Effects of mindfulness-based cognitive therapy on neurophysiological correlates of performance monitoring in adult attention-deficit/hyperactivity disorder. //Clinical Neurophysiology, 125//(7), 1407-1416. https://doi.org/10.1016/j.clinph.2013.11.031
Sobolewski, A., Holt, E., Kublik, E., & Wrobel, A. (2011). Impact of meditation on emotional processing—A visual ERP study. //Neuroscience Research, 71//(1), 44-48. https://doi.org/10.1016/j.neures.2011.06.002
Uusberg, H., Uusberg, A., Talpsep, T., & Paaver, M. (2016). Mechanisms of mindfulness: The dynamics of affective adaptation during open monitoring. //Biological Psychology, 118//, 94-106. https://doi.org/10.1016/j.biopsycho.2016.05.004
Adler-Neal, A.L., & Zeidan, F. (2017). Mindfulness meditation for fibromyalgia: Mechanistic and clinical considerations. //Current Rheumatology Reports, 19//(9). https://doi.org/10.1007/s11926-017-0686-0
Dreger, L.C., Mackenzie, C., & McLeod, B. (2015). Feasibility of a mindfulness-based intervention for aboriginal adults with type 2 diabetes. //Mindfulness, 6//(2), 264-280. https://doi.org/10.1007/s12671-013-0257-z
Jones, K.D., Mist, S.D., Casselberry, M.A., Ali, A., & Christopher, M.S. (2015). Fibromyalgia impact and mindfulness characteristics in 4986 people with fibromyalgia. //Explore: The Journal of Science and Healing, 11//(4), 304-309. https://doi.org/10.1016/j.explore.2015.04.006
Kopf, S., Oikonomou, D., Hartmann, M., Feier, F., Faude-Lang, V., Morcos, M., ... & Nawroth, P.P. (2014). Effects of stress reduction on cardiovascular risk factors in Type 2 diabetes patients with early kidney disease – Results of a randomized controlled trial (HEIDIS). //Experimental and Clinical Endocrinology & Diabetes, 122//(6), 341-349. https://doi.org/10.1055/s-0034-1372583
Luciano, J.V., D'Amico, F., Feliu-Soler, A., McCracken, L.M., Aguado, J., Penarrubia-Maria, M.T., ... & Garcia-Campayo, J. (2017). Cost-utility of group acceptance and commitment therapy for fibromyalgia versus recommended drugs: An economic analysis alongside a 6-month randomized controlled trial conducted in Spain (Effigact study). //Journal of Pain, 18//(7), 868-880. https://doi.org/10.1016/j.jpain.2017.03.001
Lush, E., Salmon, P., Floyd, A., Studts, J.L., Weissbecker, I., & Sephton, S.E. (2009). Mindfulness meditation for symptom reduction in fibromyalgia: Psychophysiological correlates. //Journal of Clinical Psychology in medical settings, 16//(2), 200-207. https://doi.org/10.1007/s10880-009-9153-z
Parra-Delgado, M., & Latorre-Postigo, J.M. (2013). Effectiveness of mindfulness-based cognitive therapy in the treatment of fibromyalgia: A randomised trial. //Cognitive Therapy and Research, 37//(5), 1015-1026. https://doi.org/10.1007/s10608-013-9538-z
Schroevers, M.J., Tovote, K.A., Keers, J.C., Links, T.P., Sanderman, R., & Fleer, J. (2015). Individual mindfulness-based cognitive therapy for people with diabetes: A pilot randomized controlled trial. //Mindfulness, 6//(1), 99-110. https://doi.org/10.1007/s12671-013-0235-5
Sephton, S.E., Salmon, P., Weissbecker, I., Ulmer, C., Floyd, A., Hoover, K., ... & Studts, J.L. (2007). Mindfulness meditation alleviates depressive symptoms in women with fibromyalgia: Results of a randomized clinical trial. //Arthritis & Rheumatism-arthritis Care & Research, 57//(1), 77-85. https://doi.org/10.1002/art.22478
Shayeghian, Z., Hassanabadi, H., Aguilar-Vafaie, M.E., Amiri, P., & Besharat, M.A. (2016). A randomized controlled trial of acceptance and commitment therapy for type 2 diabetes management: The moderating role of coping styles. //PLOS ONE, 11//(12). https://doi.org/10.1371/journal.pone.0166599
van Son, J., Nyklicek, I., Pop, V.J., Blonk, M.C., Erdtsieck, R.J., Spooren, P.F., ... & Pouwer, F. (2013). The effects of a mindfulness-based intervention on emotional distress, quality of life, and HbA1c in outpatients with diabetes (DiaMind). //Diabetes Care, 36//(4), 823-830. https://doi.org/10.2337/dc12-1477
Youngwanichsetha, S., Phumdoung, S., & Ingkathawornwong, T. (2014). The effects of mindfulness eating and yoga exercise on blood sugar levels of pregnant women with gestational diabetes mellitus. //Applied Nursing Research, 27//(4), 227-230. https://doi.org/10.1016/j.apnr.2014.02.002
Bongi, S.M., Del Rosso, A., Di Felice, C., Cala, M., & Dal Ben, G.G. (2012). Rességuier method and Qi Gong sequentially integrated in patients with fibromyalgia syndrome. //Clinical and Experimental Rheumatology, 30//(6), S51-S58.
Duschek, S., Werner, N.S., Limbert, N., Winkelmann, A., & Montoya, P. (2014). Attentional bias toward negative information in patients with fibromyalgia syndrome. //Pain Medicine, 15//(4), 603-612. https://doi.org/10.1111/pme.12360
Feliu-Soler, A., Borras, X., Penarrubia-Maria, M.T., Rozadilla-Sacanell, A., D'Amico, F., Moss-Morris, R., ... & Luciano, J.V. (2016). Cost-utility and biological underpinnings of mindfulness-based stress reduction (MBSR) versus a psychoeducational programme (FibroQol) for fibromyalgia: A 12-month randomised controlled trial (EUDAIMON study). //BMC Complementary and Alternative Medicine, 16//,81. https://doi.org/10.1186/s12906-016-1068-2
Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Meditation awareness training for individuals with fibromyalgia syndrome: An interpretative phenomenological analysis of participants' experiences. //Mindfulness, 7//(2), 409-419. https://doi.org/10.1007/s12671-015-0458-8
Van Gordon, W., Shonin, E., Dunn, T.J., Garcia-Campayo, J., & Griffiths, M.D. (2017). Meditation awareness training for the treatment of fibromyalgia syndrome: A randomized controlled trial. //British Journal of Health Psychology, 22//(1), 186-206. https://doi.org/10.1111/bjhp.12224
Adam, F., Heeren, A., Day, J., & de Sutter, P. (2015). Development of the Sexual Five-Facet Mindfulness Questionnaire (FFMQ-S): Validation among a community sample of French-speaking women. //Journal of Sex Research, 52//(6), 617-626. https://doi.org/10.1080/00224499.2014.894490
Aguado, J., Luciano, J.V., Cebolla, A., Serrano-Blanco, A., Soler, J., & Garcia-Campayo, J. (2015). Bifactor analysis and construct validity of the Five Facet Mindfulness Questionnaire (FFMQ) in non-clinical Spanish samples. //Frontiers in Psychology, 6//, 404. https://doi.org/10.3389/fpsyg.2015.00404
Andrei, F., Vesely, A., & Siegling, A.B. (2016). An examination of concurrent and incremental validity of four mindfulness scales. //Journal of Psychopathology and Behavioral Assessment, 38//(4), 559-571. https://doi.org/10.1007/s10862-016-9546-x
Baer, R.A., Samuel, D.B., & Lykins, E.L.B. (2011). Differential item functioning on the Five Facet Mindfulness Questionnaire is minimal in demographically matched meditators and nonmeditators. //Assessment, 18//(1), 3-10. https://doi.org/10.1177/1073191110392498
Baer, R.A., Smith, G.T., Lykins, E., Button, D., Krietemeyer, J., Sauer, S., ... & Williams, J.M.G. (2008). Construct validity of the Five Facet Mindfulness Questionnaire in meditating and nonmeditating samples. //Assessment, 15//(3), 329-342. https://doi.org/10.1177/1073191107313003
Bohlmeijer, E., ten Klooster, P.M., Fledderus, M., Veehof, M., & Baer, R. (2011). Psychometric properties of the Five Facet Mindfulness Questionnaire in depressed adults and development of a short form. //Assessment, 18//(3), 308-320. https://doi.org/10.1177/1073191111408231
Branstrom, R., Kvillemo, P., Brandberg, Y., & Moskowitz, J.T. (2010). Self-report mindfulness as a mediator of psychological well-being in a stress reduction intervention for cancer patients-a randomized study. //Annals of Behavioral Medicine, 39//(2), 151-161. https://doi.org/10.1007/s12160-010-9168-6
Bremner, J.D., Mishra, S., Campanella, C., Shah, M., Kasher, N., Evans, S., ... & Carmody, J. (2017). A pilot study of the effects of mindfulness-based stress reduction on post-traumatic stress disorder symptoms and brain response to traumatic reminders of combat in operation enduring freedom/operation Iraqi freedom combat veterans with post-traumatic stress disorder. //Frontiers in Psychiatry, 8//, 157. https://doi.org/10.3389/fpsyt.2017.00157
Cebolla, A., Garcia-Palacios, A., Soler, J., Guillen, V., Banos, R., & Botella, C. (2012). Psychometric properties of the Spanish validation of the five facets of mindfulness questionnaire (FFMQ). //European Journal of Psychiatry, 26//(2), 118-126. http://dx.doi.org/10.4321/S0213-61632012000200005
Christopher, M.S., Neuser, N.J., Michael, P.G., & Baitmangalkar, A. (2012). Exploring the psychometric properties of the Five Facet Mindfulness Questionnaire. //Mindfulness, 3//(2), 124-131. https://doi.org/10.1007/s12671-011-0086-x
Curtiss, J., & Klemanski, D.H. (2014). Factor analysis of the Five Facet Mindfulness Questionnaire in a heterogeneous clinical sample. //Journal of Psychopathology and Behavioral Assessment, 36//(4), 683-694. https://doi.org/10.1007/s10862-014-9429-y
de Bruin, E.I., Topper, M., Muskens, J.G.A.M., Bogels, S.M., & Kamphuis, J.H. (2012). Psychometric properties of the Five Facets Mindfulness Questionnaire (FFMQ) in a meditating and a non-meditating sample. //Assessment, 19//(2), 187-197. https://doi.org/10.1177/1073191112446654
Dundas, I., Vollestad, J., Binder, P.E., & Sivertsen, B. (2013). The Five Factor Mindfulness Questionnaire in Norway. //Scandinavian Journal of Psychology, 54//(3), 250-260. https://doi.org/10.1111/sjop.12044
Eisenlohr-Moul, T.A., Walsh, E.C., Charnigo, R.J., Lynam, D.R., & Baer, R.A. (2012). The "what" and the "how" of dispositional mindfulness: Using interactions among subscales of the five-facet mindfulness questionnaire to understand its relation to substance use. //Assessment, 19//(3), 276-286. https://doi.org/10.1177/1073191112446658
Falkenstrom, F., Solbakken, O.A., Moller, C., Lech, B., Sandell, R., & Holmqvist, R. (2014). Reflective functioning, affect consciousness, and mindfulness: Are these different functions?. //Psychoanalytic Psychology, 31//(1), 26-40. https://doi.org/10.1037/a0034049
Fernandez, A.C., Wood, M.D., Stein, L.A.R., & Rossi, J.S. (2010). Measuring mindfulness and examining its relationship with alcohol use and negative consequences. //Psychology of Addictive Behaviors, 24//(4), 608-616. https://doi.org/10.1037/a0021742
Fuller, N.R., Sainsbury, A., Caterson, I.D., Enarsson, M., Denyer, G., Manns, C., ... & Markovic, T.P. (2017). Examining mindfulness as a predictor of weight loss - Findings from the Diabegg study. //Obesity Research & Clinical Practice, 11//(1), 88-96. https://doi.org/10.1016/j.orcp.2016.03.004
Giovannini, C., Giromini, L., Bonalume, L., Tagini, A., Lang, M., & Amadei, G. (2014). The Italian Five Facet Mindfulness Questionnaire: A contribution to its validity and reliability. //Journal of Psychopathology and Behavioral Assessment, 36//(3), 415-423. https://doi.org/10.1007/s10862-013-9403-0
Goldberg, S.B., Wielgosz, J., Dahl, C., Schuyler, B., MacCoon, D.S., Rosenkranz, M., ... & Davidson, R.J. (2016). Does the Five Facet Mindfulness Questionnaire measure what we think it does? Construct validity evidence from an active controlled randomized clinical trial. //Psychological Assessment, 28//(8), 1009-1014. https://doi.org/10.1037/pas0000233
Gu, J., Strauss, C., Crane, C., Barnhofer, T., Karl, A., Cavanagh, K., ... & Kuyken, W. (2016). Examining the factor structure of the 39-item and 15-item versions of the Five Facet Mindfulness Questionnaire before and after mindfulness-based cognitive therapy for people with recurrent depression. //Psychological Assessment, 28//(7), 791-802. https://doi.org/10.1037/pas0000263
Hakan, R.L., Neal, J.M., & Lothes, J. (2017). Social judgments as a measure of right mindfulness. //Sage Open, 7//(1), 1-10. https://doi.org/10.1177/2158244016686811
Hawley, L.L., Rogojanski, J., Vorstenbosch, V., Quilty, L.C., Laposa, J.M., & Rector, N.A. (2017). The structure, correlates, and treatment related changes of mindfulness facets across the anxiety disorders and obsessive compulsive disorder. //Journal of Anxiety Disorders, 49//, 65-75. https://doi.org/10.1016/j.janxdis.2017.03.003
Heeren, A., Douilliez, C., Peschard, V., Debrauwere, L., & Philippot, P. (2011). Cross-cultural validity of the Five Facets Mindfulness Questionnaire: Adaptation and validation in a french-speaking sample. //European Review of Applied Psychology, 61//(3), 147-151. https://doi.org/10.1016/j.erap.2011.02.001
Jones, K.D., Mist, S.D., Casselberry, M.A., Ali, A., & Christopher, M.S. (2015). Fibromyalgia impact and mindfulness characteristics in 4986 people with fibromyalgia. //Explore: The Journal of Science and Healing, 11//(4), 304-309. https://doi.org/10.1016/j.explore.2015.04.006
Lappalainen, P., Langrial, S., Oinas-Kukkonen, H., Tolvanen, A., & Lappalainen, R. (2015). Web-based acceptance and commitment therapy for depressive symptoms with minimal support: A randomized controlled trial. //Behavior Modification, 39//(6), 805-834. https://doi.org/10.1177/0145445515598142
Lee, A.C., Harvey, W.F., Wong, J.B., Price, L.L., Han, X.Y., Chung, M., ... & Wang, C.C. (2017). Effects of Tai Chi versus physical therapy on mindfulness in knee osteoarthritis. //Mindfulness, 8//(5), 1195-1205. https://doi.org/10.1007/s12671-017-0692-3
Lilja, J.L., Lundh, L.G., Josefsson, T., & Falkenstrom, F. (2013). Observing as an essential facet of mindfulness: A comparison of FFMQ patterns in meditating and non-meditating individuals. //Mindfulness, 4//(3), 203-212. https://doi.org/10.1007/s12671-012-0111-8
Liu, X.H., Xu, W., Wang, Y.Z., Williams, J.M.G., Geng, Y., Zhang, Q., ... & Liu, X. (2015). Can inner peace be improved by mindfulness training: A randomized controlled trial. //Stress and Health, 31//(3), 245-254. https://doi.org/10.1002/smi.2551
Lopez, A., Sanderman, R., & Schroevers, M.J. (2016). Mindfulness and self-compassion as unique and common predictors of affect in the general population. //Mindfulness, 7//(6), 1289-1296. https://doi.org/10.1007/s12671-016-0568-y
Manuel, J.A., Somohano, V.C., & Bowen, S. (2017). Mindfulness practice and its relationship to the five-facet mindfulness questionnaire. //Mindfulness, 8//(2), 361-367. https://doi.org/10.1007/s12671-016-0605-x
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2017). Improving the precision of the Five Facet Mindfulness Questionnaire using a rasch approach. //Mindfulness, 8//(4), 995-1008. https://doi.org/10.1007/s12671-016-0676-8
Murakami, H., Nakao, T., Matsunaga, M., Kasuya, Y., Shinoda, J., Yamada, J., ... & Ohira, H. (2012). The structure of mindful brain. //PLOS ONE, 7//(9), e46377.https://doi.org/10.1371/journal.pone.0046377
Niles, B.L., Vujanovic, A.A., Silberbogen, A.K., Seligowski, A.V., & Potter, C.M. (2013). Changes in mindfulness following a mindfulness telehealth intervention. //Mindfulness, 4//(4), 301-310. https://doi.org/10.1007/s12671-012-0130-5
Royuela-Colomer, E., & Calvete, E. (2016). Mindfulness facets and depression in adolescents: Rumination as a mediator. //Mindfulness, 7//(5), 1092-1102. https://doi.org/10.1007/s12671-016-0547-3
Seli, P., Carriere, J.S.A., & Smilek, D. (2015). Not all mind wandering is created equal: Dissociating deliberate from spontaneous mind wandering. //Psychological Research-psychologische Forschung, 79//(5), 750-758. https://doi.org/10.1007/s00426-014-0617-x
Siegling, A.B., & Petrides, K.V. (2016). Zeroing in on mindfulness facets: Similarities, validity, and dimensionality across three independent measures. //PLOS ONE, 11//(4), e0153073. https://doi.org/10.1371/journal.pone.0153073
Soler, J., Cebolla, A., Feliu-Soler, A., Demarzo, M.M.P., Pascual, J.C., Banos, R., ... & Garcia-Campayo, J. (2014). Relationship between meditative practice and self-reported mindfulness: The MINDSENS composite index. //PLOS ONE, 9//(1), e86622. https://doi.org/10.1371/journal.pone.0086622
Sugiura, Y., Sato, A., Ito, Y., & Murakami, H. (2012). Development and validation of the Japanese version of the Five Facet Mindfulness Questionnaire. //Mindfulness, 3//(2), 85-94. https://doi.org/10.1007/s12671-011-0082-1
Taylor, N.Z., & Millear, P.M.R. (2016). Validity of the Five Facet Mindfulness Questionnaire in an Australian, meditating, demographically diverse sample. //Personality and Individual Differences, 90//, 73-77. https://doi.org/10.1016/j.paid.2015.10.041
Tran, U.S., Cebolla, A., Gluck, T.M., Soler, J., Garcia-Campayo, J., & von Moy, T. (2014). The serenity of the meditating mind: A cross-cultural psychometric study on a two-factor higher order structure of mindfulness, its effects, and mechanisms related to mental health among experienced meditators. //PLOS ONE, 9//(10), e110192. https://doi.org/10.1371/journal.pone.0110192
Tran, U.S., Gluck, T.M., & Nader, I.W. (2013). Investigating the Five Facet Mindfulness Questionnaire (FFMQ): Construction of a short form and evidence of a two-factor higher order structure of mindfulness. //Journal of Clinical Psychology, 69//(9), 951-965. https://doi.org/10.1002/jclp.21996
Van Dam, N.T., Hobkirk, A.L., Danoff-Burg, S., & Earleywine, M. (2012). Mind your words: Positive and negative items create method effects on the Five Facet Mindfulness Questionnaire. //Assessment, 19//(2), 198-204. https://doi.org/10.1177/1073191112438743
Veehof, M.M., ten Klooster, P.M., Taal, E., Westerhof, G.J., & Bohlmeijer, E.T. (2011). Psychometric properties of the Dutch Five Facet Mindfulness Questionnaire (FFMQ) in patients with fibromyalgia. //Clinical Rheumatology, 30//(8), 1045-1054. https://doi.org/10.1007/s10067-011-1690-9
Williams, M.J., Dalgleish, T., Karl, A., & Kuyken, W. (2014). Examining the factor structures of the Five Facet Mindfulness Questionnaire and the Self-compassion Scale. //Psychological Assessment, 26//(2), 407-418. https://doi.org/10.1037/a0035566
Zhuang, K.X., Bi, M.H., Li, Y., Xia, Y.M., Guo, X.H., Chen, Q.L., ... & Qiu, J. (2017). A distinction between two instruments measuring dispositional mindfulness and the correlations between those measurements and the neuroanatomical structure. //Scientific Reports, 7//, 6252. https://doi.org/10.1038/s41598-017-06599-w
Akin, A., & Akin, U. (2015). Examining the predictive role of self-compassion on flourishing in Turkish university students. //Anales de Psicologia, 31//(3). https://doi.org/10.6018/analesps.31.3.192041
Bohlmeijer, E.T., Lamers, S.M.A., & Fledderus, M. (2015). Flourishing in people with depressive symptomatology increases with acceptance and commitment therapy. Post-hoc analyses of a randomized controlled trial. //Behaviour Research and Therapy, 65//, 101-106. https://doi.org/10.1016/j.brat.2014.12.014
Catalino, L.I., & Fredrickson, B.L. (2011). A Tuesday in the life of a flourisher: The role of positive emotional reactivity in optimal mental health. //Emotion, 11//(4), 938-950. https://doi.org/10.1037/a0024889
Conboy, L.A., Wilson, A., & Braun, T. (2010). Moving beyond health to flourishing: The effects of yoga teacher training. //The Scientific World Journal, 10//, 788-795. https://doi.org/10.1100/tsw.2010.87
Gimpel, C., Von Scheidt, C., Jose, G., Sonntag, U., Stefano, G.B., Michalsen, A., ... & Esch, T. (2014). Changes and interactions of flourishing, mindfulness, sense of coherence, and quality of life in patients of a mind-body medicine outpatient clinic. //Forschende Komplementarmedizin, 21//(3), 154-162. https://doi.org/10.1159/000363784
Satici, S.A., Uysal, R., & Akin, A. (2013). Investigating the relationship between flourishing and self-compassion: A structural equation modeling approach. //Psychologica Belgica, 53//(4), 85-99. https://doi.org/10.5334/pb-53-4-85
Aherne, C., Moran, A.P., & Lonsdale, C. (2011). The effect of mindfulness training on athletes' flow: An initial investigation. //Sport Psychologist, 25//(2), 177-189. https://doi.org/10.1123/tsp.25.2.177
Barratt, E.L., & Davis, N.J. (2015). Autonomous sensory meridian response (ASMR): A flow-like mental state. //PeerJ, 3//,e851. https://doi.org/10.7717/peerj.851
Diaz, F.M. (2013). Mindfulness, attention, and flow during music listening: An empirical investigation. //Psychology of Music, 41//(1), 42-58. https://doi.org/10.1177/0305735611415144
Kee, Y.H., & Wang, C.K.J. (2008). Relationships between mindfulness, flow dispositions and mental skills adoption: A cluster analytic approach. //Psychology of Sport and Exercise, 9//(4), 393-411. https://doi.org/10.1016/j.psychsport.2007.07.001
Kreutzer, C.P., & Bowers, C.A. (2016). Making games for health engaging: The influence of cognitive skills. //Games for Health Journal, 5//(1), 21-26. https://doi.org/10.1089/g4h.2015.0048
Moran, A. (2012). Thinking in action: Some insights from cognitive sport psychology. //Thinking Skills and Creativity, 7//(2), 85-92. https://doi.org/10.1016/j.tsc.2012.03.005
Reid, D. (2011). Mindfulness and flow in occupational engagement: Presence in doing. //Canadian Journal of Occupational Therapy-Revue Canadienne D Ergotherapie, 78//(1), 50-56. https://doi.org/10.2182/cjot.2011.78.1.7
Scott-Hamilton, J., & Schutte, N.S. (2016). The role of adherence in the effects of a mindfulness intervention for competitive athletes: Changes in mindfulness, flow, pessimism, and anxiety. //Journal of Clinical Sport Psychology, 10//(2), 99-117. https://doi.org/10.1123/jcsp.2015-0020
Scott-Hamilton, J., Schutte, N.S., & Brown, R.F. (2016). Effects of a mindfulness intervention on sports-anxiety, pessimism, and flow in competitive cyclists. //Applied Psychology: Health and Well-Being, 8//(1), 85-103. https://doi.org/10.1111/aphw.12063
Scott-Hamilton, J., Schutte, N.S., Moyle, G.M., & Brown, R.E. (2016). The relationships between mindfulness, sport anxiety, pessimistic attributions and flow in competitive cyclists. //International Journal of Sport Psychology, 47//(2), 103-121. https://doi.org/10.7352/IJSP.2016.47.103
Sheldon, K.M., Prentice, M., & Halusic, M. (2015). The experiential incompatibility of mindfulness and flow absorption. //Social Psychological and Personality Science, 6//(3), 276-283. https://doi.org/10.1177/1948550614555028
Wright, J.J., Sadlo, G., & Stew, G. (2006). Challenge-skills and mindfulness: An exploration of the conundrum of flow. //OTJR: Occupation, Participation and Health, 26//(1), 25-32. https://doi.org/10.1177/153944920602600104
Bryan, J., Tuckey, M., Einother, S.J.L., Garczarek, U., Garrick, A., & De Bruin, E.A. (2012). Relationships between tea and other beverage consumption to work performance and mood. //Appetite, 58//(1), 339-346. https://doi.org/10.1016/j.appet.2011.11.009
Jenkins, K.T., & Tapper, K. (2014). Resisting chocolate temptation using a brief mindfulness strategy. //British Journal of Health Psychology, 19//(3), 509-522. https://doi.org/10.1111/bjhp.12050
Meier, B.P., Noll, S.W., & Molokwu, O.J. (2017). The sweet life: The effect of mindful chocolate consumption on mood. //Appetite, 108//, 21-27. https://doi.org/10.1016/j.appet.2016.09.018
Pollock, C.L., Smith, S.D., Knowles, E.S., & Bruce, H.J. (1998). Mindfulness limits compliance with the That's-Not-AU technique. //Personality and Social Psychology Bulletin, 24//(11), 1153-1157. https://doi.org/10.1177/01461672982411002
Sato, A.F., & Fahrenkamp, A.J. (2016). From bench to bedside understanding stress-obesity research within the context of translation to improve pediatric behavioral weight management. //Pediatric Clinics of North America, 63//(3), 401-423. https://doi.org/10.1016/j.pcl.2016.02.003
Dickey, J., & Ungerleider, R. (2007). Managing the demands of professional life. //Cardiology in the Young, 17//, 138-144. https://doi.org/10.1017/S1047951107001242
Jeter, W.K., & Brannon, L.A. (2017). The effect of mindfulness and implementation planning on the process of granting and seeking forgiveness among young adults. //Mindfulness, 8//(5), 1304-1318. https://doi.org/10.1007/s12671-017-0706-1
Johns, K.N., Allen, E.S., & Gordon, K.C. (2015). The relationship between mindfulness and forgiveness of infidelity. //Mindfulness, 6//(6), 1462-1471. https://doi.org/10.1007/s12671-015-0427-2
Webb, J.R., Phillips, T.D., Bumgarner, D., & Conway-Williams, E. (2013). Forgiveness, mindfulness, and health. //Mindfulness, 4//(3), 235-245. https://doi.org/10.1007/s12671-012-0119-0
Christensen, D.R., Dowling, N.A., Jackson, A.C., Brown, M., Russo, J., Francis, K.L., ... & Umemoto, A. (2013). A proof of concept for using brief dialectical behavior therapy as a treatment for problem gambling. //Behaviour Change, 30//(2), 117-137. https://doi.org/10.1017/bec.2013.10
de Lisle, S., Dowling, N., & Allen, J. (2014). Mechanisms of action in the relationship between mindfulness and problem gambling behaviour. //International Journal of Mental Health and Addiction, 12//(2), 206-225. https://doi.org/10.1007/s11469-014-9475-4
Dixon, M.R., Wilson, A.N., & Habib, R. (2016). Neurological evidence of acceptance and commitment therapy effectiveness in college-age gamblers. //Journal of Contextual Behavioral Science, 5//(2), 80-88. https://doi.org/10.1016/j.jcbs.2016.04.004
Lakey, C.E., Campbell, W.K., Brown, K.W., & Goodie, A.S. (2007). Dispositional mindfulness as a predictor of the severity of gambling outcomes. //Personality and Individual Differences, 43//(7), 1698-1710. https://doi.org/10.1016/j.paid.2007.05.007
Loo, J.M.Y., Tsai, J.S., Raylu, N., & Oei, T.P.S. (2014). Gratitude, hope, mindfulness and personal-growth initiative: Buffers or risk factors for problem gambling?. //PLOS ONE, 9//(2). https://doi.org/10.1371/journal.pone.0083889
Lueke, A., & Gibson, B. (2015). Mindfulness meditation reduces implicit age and race bias: The role of reduced automaticity of responding. //Social Psychological and Personality Science, 6//(3), 284-291. https://doi.org/10.1177/1948550614559651
McKeith, C.F.A., Rock, A.J., & Clark, G.I. (2017). Trait mindfulness, problem-gambling severity, altered state of awareness and urge to gamble in poker-machine gamblers. //Journal of Gambling Studies, 33//(2), 617-632. https://doi.org/10.1007/s10899-016-9635-5
Riley, B. (2014). Experiential avoidance mediates the association between thought suppression and mindfulness with problem gambling. //Journal of Gambling Studies, 30//(1), 163-171. https://doi.org/10.1007/s10899-012-9342-9
Shonin, E., Van Gordon, W., & Griffiths, M. (2014). Cognitive behavioral therapy (CBT) and meditation awareness training (MAT) for the treatment of co-occurring schizophrenia and pathological gambling: A case study. //International Journal of Mental Health and Addiction, 12//(2), 181-196. https://doi.org/10.1007/s11469-013-9460-3
Shonin, E., Van Gordon, W., & Griffiths, M.D. (2013). Buddhist philosophy for the treatment of problem gambling. //Journal of Behavioral Addictions, 2//(2), 63-71. https://doi.org/10.1556/JBA.2.2013.001
Toneatto, T., Pillai, S., & Courtice, E. (2014). Mindfulness-enhanced cognitive behavior therapy for problem gambling: A controlled pilot study. //International Journal of Mental Health and Addiction, 12//(2), 197-205. https://doi.org/10.1007/s11469-014-9481-6
Craigie, M.A., Rees, C.S., Marsh, A., & Nathan, P. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder: A preliminary evaluation. //Behavioural and Cognitive Psychotherapy, 36//(5), 553-568. https://doi.org/10.1017/S135246580800458X
Craske, M.G., & Hazlett-Stevens, H. (2002). Facilitating symptom reduction and behavior change in GAD: The issue of control. //Clinical Psychology-science and Practice, 9//(1), 69-75. https://doi.org/10.1093/clipsy/9.1.69
Curtiss, J., & Klemanski, D.H. (2014). Teasing apart low mindfulness: Differentiating deficits in mindfulness and in psychological flexibility in predicting symptoms of generalized anxiety disorder and depression. //Journal of Affective Disorders, 166//, 41-47. https://doi.org/10.1016/j.jad.2014.04.062
Dahlin, M., Andersson, G., Magnusson, K., Johansson, T., Sjogren, J., Hakansson, A., ... & Carlbring, P. (2016). Internet-delivered acceptance-based behaviour therapy for generalized anxiety disorder: A randomized controlled trial. //Behaviour Research and Therapy, 77//, 86-95. https://doi.org/10.1016/j.brat.2015.12.007
Evans, S., Ferrando, S., Findler, M., Stowell, C., Smart, C., & Haglin, D. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder. //Journal of Anxiety Disorders, 22//(4), 716-721. https://doi.org/10.1016/j.janxdis.2007.07.005
Fisak, B., & Von Lehe, A.C. (2012). The relation between the Five Facets of Mindfulness and worry in a non-clinical sample. //Mindfulness, 3//(1), 15-21. https://doi.org/10.1007/s12671-011-0075-0
Fracalanza, K., Koerner, N., Deschenes, S.S., & Dugas, M.J. (2014). Intolerance of uncertainty mediates the relation between generalized anxiety disorder symptoms and anger. //Cognitive Behaviour Therapy, 43//(2), 122-132. https://doi.org/10.1080/16506073.2014.888754
Hayes-Skelton, S.A., Orsillo, S.M., & Roemer, L. (2013). An acceptance-based behavioral therapy for individuals with generalized anxiety disorder. //Cognitive and Behavioral Practice, 20//(3), 264-281. https://doi.org/10.1016/j.cbpra.2011.02.005
Hayes-Skelton, S.A., Roemer, L., & Orsillo, S.M. (2013). A randomized clinical trial comparing an acceptance-based behavior therapy to applied relaxation for generalized anxiety disorder. //Journal of Consulting and Clinical Psychology, 81//(5), 761-773. https://doi.org/10.1037/a0032871
Hofmann, S.G., Curtiss, J., Khalsa, S.B.S., Hoge, E., Rosenfield, D., Bui, E., ... & Simon, N. (2015). Yoga for generalized anxiety disorder: Design of a randomized controlled clinical trial. //Contemporary Clinical Trials, 44//, 70-76. https://doi.org/10.1016/j.cct.2015.08.003
Hoge, E.A., Bui, E., Marques, L., Metcalf, C.A., Morris, L.K., Robinaugh, D.J., ... & Simon, N.M. (2013). Randomized controlled trial of mindfulness meditation for generalized anxiety disorder: Effects on anxiety and stress reactivity. //Journal of Clinical Psychiatry, 74//(8), 786-792. https://doi.org/10.4088/JCP.12m08083
Hoge, E.A., Guidos, B.M., Mete, M., Bui, E., Pollack, M.H., Simon, N.M., ... & Dutton, M.A. (2017). Effects of mindfulness meditation on occupational functioning and health care utilization in individuals with anxiety. //Journal of Psychosomatic Research, 95//, 7-11. https://doi.org/10.1016/j.jpsychores.2017.01.011
Hoge, E.A., Holzel, B.K., Marques, L., Metcalf, C.A., Brach, N., Lazar, S.W., ... & Simon, N.M. (2013). Mindfulness and self-compassion in generalized anxiety disorder: Examining predictors of disability. //Evidence-based Complementary and Alternative Medicine//, 2013, 576258. https://doi.org/10.1155/2013/576258
Holzel, B.K., Hoge, E.A., Greve, D.N., Gard, T., Creswell, J.D., Brown, K.W., ... & Lazar, S.W. (2013). Neural mechanisms of symptom improvements in generalized anxiety disorder following mindfulness training. //Neuroimage: Clinical, 2//, 448-458. https://doi.org/10.1016/j.nicl.2013.03.011
Jonsson, K., & Kjellgren, A. (2016). Promising effects of treatment with flotation-rest (restricted environmental stimulation technique) as an intervention for generalized anxiety disorder (GAD): A randomized controlled pilot trial. //BMC Complementary and Alternative Medicine, 16//(1), 108. https://doi.org/10.1186/s12906-016-1089-x
Koszycki, D., Raab, K., Aldosary, F., & Bradwejn, J. (2010). A multifaith spiritually based intervention for generalized anxiety disorder: A pilot randomized trial. //Journal of Clinical Psychology, 66//(4), 430-441. https://doi.org/10.1002/jclp.20663
Lee, J.K., & Orsillo, S.M. (2014). Investigating cognitive flexibility as a potential mechanism of mindfulness in generalized anxiety disorder. //Journal of Behavior Therapy and Experimental Psychiatry, 45//(1), 208-216. https://doi.org/10.1016/j.jbtep.2013.10.008
Lu, C.F., Smith, L.N., & Gau, C.H. (2012). Exploring the Zen meditation experiences of patients with generalized anxiety disorder: A focus-group approach. //Journal of Nursing Research, 20//(1), 43-51. https://doi.org/10.1097/JNR.0b013e3182466e83
Mennin, D.S., Fresco, D.M., Ritter, M., & Heimberg, R.G. (2015). An open trial of emotion regulation therapy for generalized anxiety disorder and cooccurring depression. //Depression and Anxiety, 32//(8), 614-623. https://doi.org/10.1002/da.22377
Millstein, D.J., Orsillo, S.M., Hayes-Skelton, S.A., & Roemer, L. (2015). Interpersonal problems, mindfulness, and therapy outcome in an acceptance-based behavior therapy for generalized anxiety disorder. //Cognitive Behaviour Therapy, 44//(6), 491-501. https://doi.org/10.1080/16506073.2015.1060255
Misri, S., Abizadeh, J., Sanders, S., & Swift, E. (2015). Perinatal generalized anxiety disorder: Assessment and treatment. //Journal of Women’s Health, 24//(9), 762-770. https://doi.org/10.1089/jwh.2014.5150
Orsillo, S.M., Roemer, L., & Barlow, D.H. (2003). Integrating acceptance and mindfulness into existing cognitive-behavioral treatment for GAD: A case study. //Cognitive and Behavioral Practice, 10//(3), 222-230. https://doi.org/10.1016/S1077-7229(03)80034-2
Roemer, L., & Orsillo, S.M. (2007). An open trial of an acceptance-based behavior therapy for generalized anxiety disorder. //Behavior Therapy, 38//(1), 72-85. https://doi.org/10.1016/j.beth.2006.04.004
Roemer, L., Orsillo, S.M., & Salters-Pedneault, K. (2008). Efficacy of an acceptance-based behavior therapy for generalized anxiety disorder: Evaluation in a randomized controlled trial. //Journal of Consulting and Clinical Psychology, 76//(6), 1083-1089. https://doi.org/10.1037/a0012720
Sugiura, Y., & Sugiura, T. (2015). Emotional intensity reduces later generalized anxiety disorder symptoms when fear of anxiety and negative problem-solving appraisal are low. //Behaviour Research and Therapy, 71//(8), 27-33. https://doi.org/10.1016/j.brat.2015.05.015
Treanor, M., Erisman, S.M., Salters-Pedneault, K., Roemer, L., & Orsillo, S.M. (2011). Acceptance-based behavioral therapy for GAD: Effects on outcomes from three theoretical models. //Depression and Anxiety, 28//(2), 127-136. https://doi.org/10.1002/da.20766
Wells, A. (2002). GAD, Metacognition, and Mindfulness: An information processing analysis. //Clinical Psychology-science and Practice, 9//(1), 95-100. https://doi.org/10.1093/clipsy.9.1.95
Bakker, J.M., Lieverse, R., Menne-Lothmann, C., Viechtbauer, W., Pishva, E., Kenis, G., ... & Wichers, M. (2014). Therapygenetics in mindfulness-based cognitive therapy: Do genes have an impact on therapy-induced change in real-life positive affective experiences?. //Translational Psychiatry, 4//. https://doi.org/10.1038/tp.2014.23
Chen, J., Yu, J., Liu, Y.J., Zhang, L.L., & Zhang, J.X. (2015). BDNF Val66Met, stress, and positive mothering: Differential susceptibility model of adolescent trait anxiety. //Journal of Anxiety Disorders, 34//, 68-75. https://doi.org/10.1016/j.janxdis.2015.06.001
Creswell, J.D., Irwin, M.R., Burklund, L.J., Lieberman, M.D., Arevalo, J.M.G., Ma, J., ... & Cole, S.W. (2012). Mindfulness-based stress reduction training reduces loneliness and pro-inflammatory gene expression in older adults: A small randomized controlled trial. //Brain Behavior and Immunity, 26//(7), 1095-1101. https://doi.org/10.1016/j.bbi.2012.07.006
Hodapp, R.M., & Dykens, E.M. (2012). Genetic disorders of intellectual disability: Expanding our concepts of phenotypes and of family outcomes. //Journal of Genetic Counseling, 21//(6), 761-769. https://doi.org/10.1007/s10897-012-9536-4
Isgett, S.F., Algoe, S.B., Boulton, A.J., Way, B.M., & Fredrickson, B.L. (2016). Common variant in //OXTR// predicts growth in positive emotions from loving-kindness training. //Psychoneuroendocrinology, 73//, 244-251. https://doi.org/10.1016/j.psyneuen.2016.08.010
Kaliman, P., Alvarez-Lopez, M.J., Cosin-Tomas, M., Rosenkranz, M.A., Lutz, A., & Davidson, R.J. (2014). Rapid changes in histone deacetylases and inflammatory gene expression in expert meditators. //Psychoneuroendocrinology, 40//, 96-107. https://doi.org/10.1016/j.psyneuen.2013.11.004
Lengacher, C.A., Reich, R.R., Kip, K.E., Paterson, C.L., Park, H.Y., Ramesar, S., ... & Park, J.Y. (2015). Moderating effects of genetic polymorphisms on improvements in cognitive impairment in breast cancer survivors participating in a 6-week mindfulness-based stress reduction program. //Biological Research for Nursing, 17//(4), 393-404. https://doi.org/10.1177/1099800415577633
Murakami, H., Matsunaga, M., & Ohira, H. (2009). Association of serotonin transporter gene polymorphism and emotion regulation. //NeuroReport, 20//(4), 414-418. https://doi.org/10.1097/WNR.0b013e328325a910
Ravnik-Glavac, M., Hrasovec, S., Bon, J., Dreu, J., & Glavac, D. (2012). Genome-wide expression changes in a higher state of consciousness. //Consciousness and Cognition, 21//(3), 1322-1344. https://doi.org/10.1016/j.concog.2012.06.003
Waszczuk, M.A., Zavos, H.M.S., Antonova, E., Haworth, C.M., Plomin, R., & Eley, T.C. (2015). A multivariate twin study of trait mindfulness, depressive symptoms, and anxiety sensitivity. //Depression and Anxiety, 32//(4), 254-261. https://doi.org/10.1002/da.22326
Wichers, M.C., Myin-Germeys, I., Jacobs, N., Peeters, F., Kenis, G., Derom, C., ... & van Os, J. (2007). Evidence that moment-to-moment variation in positive emotions buffer genetic risk for depression: A momentary assessment twin study. //Acta Psychiatrica Scandinavica, 115//(6), 451-457. https://doi.org/10.1111/j.1600-0447.2006.00924.x
O' Leary, K., & Dockray, S. (2015). The effects of two novel gratitude and mindfulness interventions on well-being. //Journal of Alternative and Complementary Medicine, 21//(4), 243-245. https://doi.org/10.1089/acm.2014.0119
O' Leary, K., Dockray, S., & Hammond, S. (2016). Positive prenatal well-being: Conceptualising and measuring mindfulness and gratitude in pregnancy. //Archives of Womens Mental Health, 19//(4), 665-673. https://doi.org/10.1007/s00737-016-0620-x
Akin, U., & Akin, A. (2015). Mindfulness and subjective happiness: The mediating role of coping competence. //Ceskoslovenska Psychologie, 59//(4), 359-368. http://www.medvik.cz/link/bmc15030061
Ariyabuddhiphongs, V., & Jaiwong, D. (2010). Observance of the Buddhist five precepts, subjective wealth, and happiness among Buddhists in Bangkok, Thailand. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 32//(3), 327-344. https://doi.org/10.1163/157361210X533274
Benzo, R.P., Kirsch, J.L., & Nelson, C. (2017). Compassion, mindfulness, and the happiness of healthcare workers. //Explore: The Journal of Science and Healing, 13//(3), 201-206. https://doi.org/10.1016/j.explore.2017.02.001
Bergsma, A., Poot, G., & Liefbroer, A.C. (2008). Happiness in the Garden of Epicurus. //Journal of Happiness Studies, 9//(3), 397-423. https://doi.org/10.1007/s10902-006-9036-z
Campos, D., Cebolla, A., Quero, S., Breton-Lopez, J., Botella, C., Soler, J., ... & Banos, R.M. (2016). Meditation and happiness: Mindfulness and self-compassion may mediate the meditation-happiness relationship. //Personality and Individual Differences, 93//, 80-85. https://doi.org/10.1016/j.paid.2015.08.040
Choi, Y.W., Karremans, J.C., & Barendregt, H. (2012). The happy face of mindfulness: Mindfulness meditation is associated with perceptions of happiness as rated by outside observers. //Journal of Positive Psychology, 7//(1), 30-35. https://doi.org/10.1080/17439760.2011.626788
Dambrun, M. (2016). When the dissolution of perceived body boundaries elicits happiness: The effect of selflessness induced by a body scan meditation. //Consciousness and Cognition, 46//, 89-98. https://doi.org/10.1016/j.concog.2016.09.013
Dambrun, M. (2017). Self-centeredness and selflessness: Happiness correlates and mediating psychological processes. //PeerJ, 5//. https://doi.org/10.7717/peerj.3306
Denny, K., & Steiner, H. (2009). External and internal factors influencing happiness in elite collegiate athletes. //Child Psychiatry & Human Development, 40//(1), 55-72. https://doi.org/10.1007/s10578-008-0111-z
Feicht, T., Wittmann, M., Jose, G., Mock, A., von Hirschhausen, E., & Esch, T. (2013). Evaluation of a seven-week web-based happiness training to improve psychological well-being, reduce stress, and enhance mindfulness and flourishing: A randomized controlled occupational health study. //Evidence-based Complementary and Alternative Medicine//, 676953. https://doi.org/10.1155/2013/676953
Finlay-Jones, A., Kane, R., & Rees, C. (2017). Self-compassion online: A pilot study of an internet-based self-compassion cultivation program for psychology trainees. //Journal of Clinical Psychology, 73//(7), 797-816. https://doi.org/10.1002/jclp.22375
Gilbert, P., McEwan, K., Gibbons, L., Chotai, S., Duarte, J., & Matos, M. (2012). Fears of compassion and happiness in relation to alexithymia, mindfulness, and self-criticism. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(4), 374-390. https://doi.org/10.1111/j.2044-8341.2011.02046.x
Howells, A., Ivtzan, I., & Eiroa-Orosa, F.J. (2016). Putting the 'app' in happiness: A randomised controlled trial of a smartphone-based mindfulness intervention to enhance wellbeing. //Journal of Happiness Studies, 17//(1), 163-185. https://doi.org/10.1007/s10902-014-9589-1
Huang, P.H. (2010). Happiness studies and legal policy. //Annual Review of Law and Social Science, Vol 6, 6//, 405-432. https://doi.org/10.1146/annurev-lawsocsci-102209-152828
Kasser, T., & Sheldon, K.M. (2009). Time affluence as a path toward personal happiness and ethical business practice: Empirical evidence from four studies. //Journal of Business Ethics, 84//, 243-255. https://doi.org/10.1007/s10551-008-9696-1
Kowalski, R.M., Allison, B., Giumetti, G.W., Turner, J., Whittaker, E., Frazee, L., ... & Stephens, J. (2014). Pet peeves and happiness: How do happy people complain?. //Journal of Social Psychology, 154//(4), 278-282. https://doi.org/10.1080/00224545.2014.906380
Moore, Z.E. (2015). Addressing assumptions and clarifying conclusions in "assumptions and conclusions: Fundamental distinctions between Tibetan Buddhist and western approaches to happiness". //Journal of Rational-emotive and Cognitive-behavior Therapy, 33//(4), 368-373. https://doi.org/10.1007/s10942-015-0223-x
Peters, M.L., Smeets, E., Feijge, M., van Breukelen, G., Andersson, G., Buhrman, M., ... & Linton, S.J. (2017). Happy despite pain a randomized controlled trial of an 8-week internet-delivered positive psychology intervention for enhancing well-being in patients with chronic pain. //Clinical Journal of Pain, 33//(11), 962-975. https://doi.org/10.1097/AJP.0000000000000494
Quoidbach, J., Berry, E.V., Hansenne, M., & Mikolajczak, M. (2010). Positive emotion regulation and well-being: Comparing the impact of eight savoring and dampening strategies. //Personality and Individual Differences, 49//(5), 368-373. https://doi.org/10.1016/j.paid.2010.03.048
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Wahler, R.G., Singh, J., & Sage, M. (2004). Mindful caregiving increases happiness among individuals with profound multiple disabilities. //Research in Developmental Disabilities, 25//(2), 207-218. https://doi.org/10.1016/j.ridd.2003.05.001
Surinrut, P., Auamnoy, T., & Sangwatanaroj, S. (2016). Enhanced happiness and stress alleviation upon insight meditation retreat: Mindfulness, a part of traditional Buddhist meditation. //Mental Health Religion & Culture, 19//(7), 648-659. https://doi.org/10.1080/13674676.2016.1207618
Zagonari, F. (2015). Technology improvements and value changes for sustainable happiness: A cross-development analytical model. //Sustainability Science, 10//(4), 687-698. https://doi.org/10.1007/s11625-015-0311-y
Zelenski, J.M., & Nisbet, E.K. (2014). Happiness and feeling connected: The distinct role of nature relatedness. //Environment and Behavior, 46//(1), 3-23. https://doi.org/10.1177/0013916512451901
Azam, M.A., Katz, J., Mohabir, V., & Ritvo, P. (2016). Individuals with tension and migraine headaches exhibit increased heart rate variability during post-stress mindfulness meditation practice but a decrease during a post-stress control condition - A randomized, controlled experiment. //International Journal of Psychophysiology, 110//, 66-74. https://doi.org/10.1016/j.ijpsycho.2016.10.011
Day, M.A., & Thorn, B.E. (2016). The mediating role of pain acceptance during mindfulness-based cognitive therapy for headache. //Complementary Therapies in Medicine, 25//, 51-54. https://doi.org/10.1016/j.ctim.2016.01.002
Day, M.A., Thorn, B.E., & Rubin, N.J. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain: A mixed-methods analysis comparing treatment responders and treatment non-responders. //Complementary Therapies in Medicine, 22//(2), 278-285. https://doi.org/10.1016/j.ctim.2013.12.018
Day, M.A., Thorn, B.E., Ward, L.C., Rubin, N., Hickman, S.D., Scogin, F., ... & Kilgo, G.R. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain a pilot study. //Clinical Journal of Pain, 30//(2), 152-161. https://doi.org/10.1097/AJP.0b013e318287a1dc
Dindo, L., Recober, A., Marchman, J., O' Hara, M.W., & Turvey, C. (2014). One-day behavioral intervention in depressed migraine patients: Effects on headache. //Headache, 54//(3), 528-538. https://doi.org/10.1111/head.12258
Grazzi, L., D'Amico, D., Raggi, A., Leonardi, M., Ciusani, E., Corsini, E., ... & Sansone, E. (2017). Mindfulness and pharmacological prophylaxis have comparable effect on biomarkers of inflammation and clinical indexes in chronic migraine with medication overuse: Results at 12 months after withdrawal. //Neurological Sciences, 38//, S173-S175. https://doi.org/10.1007/s10072-017-2874-0
Grazzi, L., Prunesti, A., & Bussone, G. (2015). Proposal of a model for multidisciplinary treatment program of chronic migraine with medication overuse: Preliminary study. //Neurological Sciences, 36//, S169-S171. https://doi.org/10.1007/s10072-015-2177-2
Grazzi, L., Sansone, E., Raggi, A., D'Amico, D., De Giorgio, A., Leonardi, M., ... & Andrasik, F. (2017). Mindfulness and pharmacological prophylaxis after withdrawal from medication overuse in patients with chronic migraine: An effectiveness trial with a one-year follow-up. //Journal of Headache and Pain, 18:15//. https://doi.org/10.1186/s10194-017-0728-z
Hesse, T., Holmes, L.G., Kennedy-Overfelt, V., Kerr, L.M., & Giles, L.L. (2015). Mindfulness-based intervention for adolescents with recurrent headaches: A pilot feasibility study. //Evidence-based Complementary and Alternative Medicine//, 508958. https://doi.org/10.1155/2015/508958
Keller, A., Meyer, B., Wohlbier, H.G., Overath, C., & Kropp, P. (2016). Migraine and meditation: Characteristics of cortical activity and stress coping in migraine patients, meditators and healthy controls - An exploratory cross-sectional study. //Applied Psychophysiology and Biofeedback, 41//(3), 307-313. https://doi.org/10.1007/s10484-016-9334-0
Kemper, K.J., Heyer, G., Pakalnis, A., & Binkley, P.F. (2016). What factors contribute to headache-related disability in teens?. //Pediatric Neurology, 56//, 48-54. https://doi.org/10.1016/j.pediatrneurol.2015.10.024
Omidi, A., & Zargar, F. (2015). Effects of mindfulness-based stress reduction on perceived stress and psychological health in patients with tension headache. //Journal of Research in Medical Sciences, 20//(11). https://www.ncbi.nlm.nih.gov/pubmed/26941809
Wachholtz, A.B., Malone, C.D., & Pargament, K.I. (2017). Effect of different meditation types on migraine headache medication use. //Behavioral Medicine, 43//(1), 1-8. https://doi.org/10.1080/08964289.2015.1024601
Wells, R.E., Burch, R., Paulsen, R.H., Wayne, P.M., Houle, T.T., & Loder, E. (2014). Meditation for migraines: A pilot randomized controlled trial. //Headache, 54//(9), 1484-1495. https://doi.org/10.1111/head.12420
Barker, K.K. (2014). Mindfulness meditation: Do-it-yourself medicalization of every moment. //Social Science & Medicine, 106//, 168-176. https://doi.org/10.1016/j.socscimed.2014.01.024
Berila, B. (2016). Mindfulness as a healing, liberatory practice in queer anti-oppression pedagogy. //Social Alternatives, 35//(3), 5-10. https://search.informit.com.au/documentSummary;dn=617606909549894;res=IELLCC
Fernros, L., Furhoff, A.K., & Waendell, P.E. (2008). Improving quality of life using compound mind-body therapies: Evaluation of a course intervention with body movement and breath therapy, guided imagery, chakra experiencing and mindfulness meditation. //Quality of Life Research, 17//(3), 367-376. https://doi.org/10.1007/s11136-008-9321-x
Loizzo, J., Charlson, M., & Peterson, J. (2009). A program in contemplative self-healing. //Annals of the New York Academy of Sciences, 1172//, 123-147. https://doi.org/10.1111/j.1749-6632.2009.04398.x
Miller, W.L., Crabtree, B.F., Duffy, M.B., Epstein, R.M., & Stange, K.C. (2003). Research guidelines for assessing the impact of healing relationships in clinical medicine. //Alternative Therapies in Health and Medicine, 9//(3), A80-A95. https://www.ncbi.nlm.nih.gov/pubmed/12776467
Raisler, J. (1999). Alternative healing in nurse-midwifery practice. //Journal of Nurse-Midwifery, 44//(3), 310-319. https://doi.org/10.1016/S0091-2182(99)00041-5
Schmidt, S. (2004). Mindfulness and healing intention: Concepts, practice, and research evaluation. //Journal of Alternative and Complementary Medicine, 10//, S7-S14. https://doi.org/10.1089/acm.2004.10.s-7
Scott, J.G., Cohen, D., DiCicco-Bloom, B., Miller, W.L., Stange, K.C., & Crabtree, B.F. (2008). Understanding healing relationships in primary care. //Annals of Family Medicine, 6//(4), 315-322. https://doi.org/10.1370/afm.860
Atanes, A.C.M., Andreoni, S., Hirayama, M.S., Montero-Marin, J., Barros, V.V., Ronzani, T.M., ... & Demarzo, M.M.P. (2015). Mindfulness, perceived stress, and subjective well-being: A correlational study in primary care health professionals. //BMC Complementary and Alternative Medicine, 15//, 303. https://doi.org/10.1186/s12906-015-0823-0
Atkinson, D.M., Rodman, J.L., Thuras, P.D., Shiroma, P.R., & Lim, K.O. (2017). Examining burnout, depression, and self-compassion in veterans affairs mental health staff. //Journal of Alternative and Complementary Medicine, 23//(7), 551-557. https://doi.org/10.1089/acm.2017.0087
Baker, C., Huxley, P., Dennis, M., Islam, S., & Russell, I. (2015). Alleviating staff stress in care homes for people with dementia: Protocol for stepped-wedge cluster randomised trial to evaluate a web-based mindfulness- stress reduction course. //BMC Psychiatry, 15//, 317. https://doi.org/10.1186/s12888-015-0703-7
Goodman, M.J., & Schorling, J.B. (2012). A mindfulness course decreases burnout and improves well-being among healthcare providers. //International Journal of Psychiatry in Medicine, 43//(2), 119-128. https://doi.org/10.2190/PM.43.2.b
Judd, M.J., Dorozenko, K.P., & Breen, L.J. (2017). Workplace stress, burnout and coping: A qualitative study of the experiences of australian disability support workers. //Health & Social Care in the Community, 25//(3), 1109-1117. https://doi.org/10.1111/hsc.12409
Lee, Y.C., Huang, S.C., Huang, C.H., & Wu, H.H. (2016). A new approach to identify high burnout medical staffs by kernel k-means cluster analysis in a regional teaching hospital in Taiwan. //INQUIRY: The Journal of Health Care Organization Provision and Financing, 53//, 1-6. https://doi.org/10.1177/0046958016679306
Magtibay, D.L., Chesak, S.S., Coughlin, K., & Sood, A. (2017). Decreasing stress and burnout in nurses efficacy of blended learning with stress management and resilience training program. //Journal of Nursing Administration, 47//(7-8), 391-395. https://doi.org/10.1097/NNA.0000000000000501
Moody, K., Kramer, D., Santizo, R.O., Magro, L., Wyshogrod, D., Ambrosio, J., ... & Stein, J. (2013). Helping the helpers: Mindfulness training for burnout in pediatric oncology-a pilot program. //Journal of Pediatric Oncology Nursing, 30//(5), 275-284. https://doi.org/10.1177/1043454213504497
Norouzinia, R., Ramezani, Z., Khalili, A., Dehghani, M., & Sharifis, A. (2017). The effect of mindfulness-based stress reduction training on stress and burnout of nurses. //Indo American Journal of Pharmaceutical Sciences, 4//(5), 1296-1302. https://doi.org/10.5281/zenodo.802200
Rees, C.S., Heritage, B., Osseiran-Moisson, R., Chamberlain, D., Cusack, L., Anderson, J., ... & Hegney, D.G. (2016). Can we predict burnout among student nurses? An exploration of the ICWR-1 model of individual psychological resilience. //Frontiers in Psychology, 7//, 1072. https://dx.doi.org/10.3389%2Ffpsyg.2016.01072
Scarlet, J., Altmeyer, N., Knier, S., & Harpin, R.E. (2017). The effects of compassion cultivation training (CCT) on healthcare workers. //Clinical Psychologist, 21//(2), 116-124. https://doi.org/10.1111/cp.12130
Steinberg, B.A., Klatt, M., & Duchemin, A.M. (2017). Feasibility of a mindfulness-based intervention for surgical intensive care unit personnel. //American Journal of Critical Care, 26//(1), 10-18. https://doi.org/10.4037/ajcc2017444
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8), e0136955. https://doi.org/10.1371/journal.pone.0136955
Voci, A., Veneziani, C.A., & Metta, M. (2016). Affective organizational commitment and dispositional mindfulness as correlates of burnout in health care professionals. //Journal of Workplace Behavioral Health, 31//(2), 63-70. https://doi.org/10.1080/15555240.2015.1047500
Westphal, M., Bingisser, M.B., Feng, T.S., Wall, M., Blakley, E., Bingisser, R., ... & Kleim, B. (2015). Protective benefits of mindfulness in emergency room personnel. //Journal of Affective Disorders, 175//, 79-85. https://doi.org/10.1016/j.jad.2014.12.038
Yang, S.Y., Meredith, P., & Khan, A. (2017). Is mindfulness associated with stress and burnout among mental health professionals in singapore?. //Psychology Health & Medicine, 22//(6), 673-679. https://doi.org/10.1080/13548506.2016.1220595
Eisendrath, S.J., Gillung, E.P., Delucchi, K.L., Chartier, M., Mathalon, D.H., Sullivan, J.C., ... & Feldman, M.D. (2014). Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: A randomized control trial study protocol. //BMC Complementary and Alternative Medicine, 14//, 95. https://doi.org/10.1186/1472-6882-14-95
Eisendrath, S.J., Gillung, E., Delucchi, K.L., Segal, Z.V., Nelson, J.C., McInnes, L.A., ... & Feldman, M.D. (2016). A randomized controlled trial of mindfulness-based cognitive therapy for treatment-resistant depression. //Psychotherapy and Psychosomatics, 85//(2), 99-110. https://doi.org/10.1159/000442260
MacCoon, D.G., MacLean, K.A., Davidson, R.J., Saron, C.D., & Lutz, A. (2014). No sustained attention differences in a longitudinal randomized trial comparing mindfulness based stress reduction versus active control. //PLOS ONE, 9//(6), e97551. https://doi.org/10.1371/journal.pone.0097551
Evans, S., Moieni, M., Lung, K., Tsao, J., Sternlieb, B., Taylor, M., ... & Zeltzer, L. (2013). Impact of Iyengar yoga on quality of life in young women with rheumatoid arthritis. //Clinical Journal of Pain, 29//(11), 988-997. https://www.ncbi.nlm.nih.gov/pubmed/23370082
Fernros, L., Furhoff, A.K., & Waendell, P.E. (2008). Improving quality of life using compound mind-body therapies: Evaluation of a course intervention with body movement and breath therapy, guided imagery, chakra experiencing and mindfulness meditation. //Quality of Life Research, 17//(3), 367-376. https://doi.org/10.1007/s11136-008-9321-x
Gross, C.R., Reilly-Spong, M., Park, T., Zhao, R.Z., Gurvich, O.V., & Ibrahim, H.N. (2017). Telephone-adapted mindfulness-based stress reduction (TMBSR) for patients awaiting kidney transplantation. //Contemporary Clinical Trials, 57//, 37-43. https://doi.org/10.1016/j.cct.2017.03.014
Grossman, P., Kappos, L., Gensicke, H., D'Souza, M., Mohr, D.C., Penner, I.K., ... & Steiner, C. (2010). MS quality of life, depression, and fatigue improve after mindfulness training a randomized trial. //Neurology, 75//(13), 1141-1149. https://doi.org/10.1212/WNL.0b013e3181f4d80d
Grossman, P., Zwahlen, D., Halter, J.P., Passweg, J.R., Steiner, C., & Kiss, A. (2015). A mindfulness-based program for improving quality of life among hematopoietic stem cell transplantation survivors: Feasibility and preliminary findings. //Supportive Care in Cancer, 23//(4), 1105-1112. https://doi.org/10.1007/s00520-014-2452-4
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2013). Effects of participation in a mindfulness program for veterans with posttraumatic stress disorder: A randomized controlled pilot study. //Journal of Clinical Psychology, 69//(1), 14-27. https://doi.org/10.1002/jclp.21911
Click [[Toggle Sidebar Tabs]] to get to show/hide tabs.<br/>
,,Code Courtesy of [[Matabele|https://groups.google.com/forum/#!searchin/tiddlywiki/relocating$20those$20sidebar$20tabs|sort:date/tiddlywiki/dQbt-JFdRR8/IuVf0STNAQAJ]],,<br/><br/>
//Remember to keep only the Contents tab before going public//
View an introductory [[Video Tutorial]].
Click [[Getting Started]] to set up the notebook's name etc. <br/>
<br/>
Learn more about [[TiddlyWiki|https://tiddlywiki.com/]].<br/>
<div class="tc-remove-when-wiki-loaded">
Loading...
</div>
Amaro, H., Magno-Gatmaytan, C., Melendez, M., Cortes, D.E., Arevalo, S., & Margolin, A. (2010). Addiction treatment intervention: An uncontrolled prospective pilot study of spiritual self-schema therapy with Latina women. //Substance Abuse, 31//(2), 117-125. https://doi.org/10.1080/08897071003641602
Creswell, J.D., Myers, H.F., Cole, S.W., & Irwin, M.R. (2009). Mindfulness meditation training effects on CD4+ T lymphocytes in HIV-1 infected adults: A small randomized controlled trial. //Brain Behavior and Immunity, 23//(2), 184-188. https://doi.org/10.1016/j.bbi.2008.07.004
Duncan, L.G., Moskowitz, J.T., Neilands, T.B., Dilworth, S.E., Hecht, F.M., & Johnson, M.O. (2012). Mindfulness-based stress reduction for HIV treatment side effects: A randomized, wait-list controlled trial. //Journal of Pain and Symptom Management, 43//(2), 161-171. https://doi.org/10.1016/j.jpainsymman.2011.04.007
Eller, L.S., Rivero-Mendez, M., Voss, J., Chen, W.T., Chaiphibalsarisdi, P., Iipinge, S., ... & Brion, J.M. (2014). Depressive symptoms, self-esteem, HIV symptom management self-efficacy and self-compassion in people living with HIV. //AIDS Care: Psychological and Socio-medical Aspects of AIDS/HIV, 26//(7), 795-803. https://doi.org/10.1080/09540121.2013.841842
Gayner, B., Esplen, M.J., DeRoche, P., Wong, J.H., Bishop, S., Kavanagh, L., ... & Butler, K. (2012). A randomized controlled trial of mindfulness-based stress reduction to manage affective symptoms and improve quality of life in gay men living with HIV. //Journal of Behavioral Medicine, 35//(3), 272-285. https://doi.org/10.1007/s10865-011-9350-8
Melendez, M., Cortes, D.E., & Amaro, H. (2012). Acceptability and cultural fit of spiritual self-schema therapy for Puerto Rican women with addiction disorders: Qualitative findings. //Women & Therapy, 35//(1-2), 106-119. https://doi.org/10.1080/02703149.2012.634733
Mon, M.M., Liabsuetrakul, T., & Htut, K.M. (2016). Effectiveness of mindfulness intervention on psychological behaviors among adolescents with parental HIV infection: A group-randomized controlled trial. //Asia-Pacific Journal of Public Health, 28//(8), 765-775. https://doi.org/10.1177/1010539516675698
Mon, M.M., Liabsuetrakul, T., McNeil, E.B., & Htut, K.M. (2017). Mindfulness-integrated reproductive health package for adolescents with parental HIV infection: A group-randomized controlled trial. //Vulnerable Children and Youth Studies, 12//(2), 147-159. https://doi.org/10.1080/17450128.2017.1282072
Ridge, D., Williams, I., Anderson, J., & Elford, J. (2008). Like a prayer: The role of spirituality and religion for people living with HIV in the UK. //Sociology of Health & Illness, 30//(3), 413-428. https://doi.org/10.1111/j.1467-9566.2007.01062.x
Riley, K.E., & Kalichman, S. (2015). Mindfulness-based stress reduction for people living with HIV/AIDS: Preliminary review of intervention trial methodologies and findings. //Health Psychology Review, 9//(2), 224-243. https://doi.org/10.1080/17437199.2014.895928
Robinson, F.P., Mathews, H.L., & Witek-Janusek, L. (2003). Psycho-endocrine-immune response to mindfulness-based stress reduction in individuals infected with the human immunodeficiency virus: A quasiexperimental study. //Journal of Alternative and Complementary Medicine, 9//(5), 683-694. https://doi.org/10.1089/107555303322524535
Salmoirago-Blotcher, E., Rich, C., Rosen, R.K., Dunsiger, S., Rana, A., & Carey, M.P. (2017). Phone-delivered mindfulness training to promote medication adherence and reduce sexual risk behavior among persons living with HIV: Design and methods. //Contemporary Clinical Trials, 53//, 162-170. https://doi.org/10.1016/j.cct.2016.12.016
SeyedAlinaghi, S., Jam, S., Foroughi, M., Imani, A., Mohraz, M., Djavid, G.E., ... & Black, D.S. (2012). Randomized controlled trial of mindfulness-based stress reduction delivered to human immunodeficiency virus–positive patients in Iran: Effects on CD4+ T lymphocyte count and medical and psychological symptoms. //Psychosomatic Medicine, 74//(6), 620-627. https://doi.org/10.1097/PSY.0b013e31825abfaa
Blom, K., Baker, B., How, M., Dai, M., Irvine, J., Abbey, S., ... & Tobe, S.W. (2014). Hypertension analysis of stress reduction using mindfulness meditation and yoga: Results from the harmony randomized controlled trial. //American Journal of Hypertension, 27//(1), 122-129. https://doi.org/10.1093/ajh/hpt134
Blom, K., How, M., Dai, M., Baker, B., Irvine, J., Abbey, S., ... & Tobe, S.W. (2012). Hypertension analysis of stress reduction using mindfulness meditation and yoga (The HARMONY Study): Study protocol of a randomised control trial. //BMJ Open, 2//(2), e000848. https://doi.org/10.1136/bmjopen-2012-000848
Park, J., Lyles, R.H., & Bauer-Wu, S. (2014). Mindfulness meditation lowers muscle sympathetic nerve activity and blood pressure in African-American males with chronic kidney disease. American journal of physiology-regulatory integrative and comparative physiology, 307(1), R93-R101. http://doi.org/10.1152/ajpregu.00558.2013
Holroyd, J. (2003). The science of meditation and the state of hypnosis. //American Journal of Clinical Hypnosis, 46//(2), 109-128. https://doi.org/10.1080/00029157.2003.10403582
Werner, A., Uldbjerg, N., Zachariae, R., & Nohr, E.A. (2013). Effect of self-hypnosis on duration of labor and maternal and neonatal outcomes: A randomized controlled trial. //Acta Obstetricia Et Gynecologica Scandinavica, 92//(7), 816-823. https://doi.org/10.1111/aogs.12141
Werner, A., Uldbjerg, N., Zachariae, R., Rosen, G., & Nohr, E.A. (2013). Self-hypnosis for coping with labour pain: A randomised controlled trial. //BIOG-An International Journal of Obstetrics and Gynaecology, 120//(3), 346-353. https://doi.org/10.1111/1471-0528.12087
Werner, A., Uldbjerg, N., Zachariae, R., Wu, C.S., & Nohr, E.A. (2013). Antenatal hypnosis training and childbirth experience: A randomized controlled trial. //Birth-issues in Perinatal Care, 40//(4), 272-280. https://doi.org/10.1111/birt.12071
Arrigo, B.A. (2013). Managing risk and marginalizing identities: On the society-of-captives thesis and the harm of social dis-ease. //International Journal of Offender Therapy and Comparative Criminology, 57//(6), 672-693. https://doi.org/10.1177/0306624X13480634
Berila, B. (2016). Mindfulness as a healing, liberatory practice in queer anti-oppression pedagogy. //Social Alternatives, 35//(3), 5-10. https://search.informit.com.au/documentSummary;dn=617606909549894;res=IELLCC
Yang, C.C., Holden, S.M., & Carter, M.D.K. (2017). Emerging adults' social media self-presentation and identity development at college transition: Mindfulness as a moderator. //Journal of Applied Developmental Psychology, 52//, 212-221. https://doi.org/10.1016/j.appdev.2017.08.006
Frewen, P.A., Dozois, D.J.A., Neufeld, R.W.J., Lane, R.D., Densmore, M., Stevens, T.K., ... & Lanius, R.A. (2010). Individual differences in trait mindfulness predict dorsomedial prefrontal and amygdala response during emotional imagery: An fMRI study. //Personality and Individual Differences, 49//(5), 479-484. https://doi.org/10.1016/j.paid.2010.05.008
Hamilton, J., Fawson, S., May, J., Andrade, J., & Kavanagh, D.J. (2013). Brief guided imagery and body scanning interventions reduce food cravings. //Appetite, 71//, 158-162. https://doi.org/10.1016/j.appet.2013.08.005
Kharlas, D.A., & Frewen, P. (2016). Trait mindfulness correlates with individual differences in multisensory imagery vividness. //Personality and Individual Differences, 93//, 44-50. https://doi.org/10.1016/j.paid.2015.09.027
Wheatley, J., & Hackmann, A. (2011). Using imagery rescripting to treat major depression: Theory and practice. //Cognitive and Behavioral Practice, 18//(4), 444-453. https://doi.org/10.1016/j.cbpra.2010.06.004
Baquedano, C., Vergara, R., Lopez, V., Fabar, C., Cosmelli, D., & Lutz, A. (2017). Compared to self-immersion, mindful attention reduces salivation and automatic food bias. //Scientific Reports, 7//. https://doi.org/10.1038/s41598-017-13662-z
Bayer, J.B., Dal Cin, S., Campbell, S.W., & Panek, E. (2016). Consciousness and self-regulation in mobile communication. //Human Communication Research, 42//(1), 71-97. https://doi.org/10.1111/hcre.12067
Crescentini, C., Chittaro, L., Capurso, V., Sioni, R., & Fabbro, F. (2016). Psychological and physiological responses to stressful situations in immersive virtual reality: Differences between users who practice mindfulness meditation and controls. //Computers in Human Behavior, 59//, 304-316. https://doi.org/10.1016/j.chb.2016.02.031
Glicksohn, J., Berkovich-Ohana, A., Mauro, F., & Ben-Soussan, T.D. (2017). Time perception and the experience of time when immersed in an altered sensory environment. //Frontiers in Human Neuroscience, 11//, 487. https://doi.org/10.3389/fnhum.2017.00487
Kross, E., Ayduk, O., & Mischel, W. (2005). When asking "why" does not hurt. Distinguishing rumination from reflective processing of negative emotions. //Psychological Science, 16//(9), 709-715. https://doi.org/10.1111/j.1467-9280.2005.01600.x
Lebois, L.A.M., Papies, E.K., Gopinath, K., Cabanban, R., Quigley, K.S., Krishnamurthy, V., ... & Barsalou, L.W. (2015). A shift in perspective: Decentering through mindful attention to imagined stressful events. //Neuropsychologia, 75//, 505-524. https://doi.org/10.1016/j.neuropsychologia.2015.05.030
Schiestel, L., & Schonbrodt, F.D. (2016). Does the experience of presence restore self-control? //Self and Identity, 15//(3), 327-341. https://doi.org/10.1080/15298868.2015.1132758
Bergeron, C.M., & Dandeneau, S. (2016). Implicitly activating mindfulness promotes positive responses following an ego threat. //Journal of Social and Clinical Psychology, 35//(7), 551-570. https://doi.org/10.1521/jscp.2016.35.7.551
Bergeron, C.M., Almgren-Dore, I., & Dandeneau, S. (2016). Letting go (implicitly): Priming mindfulness mitigates the effects of a moderate social stressor. //Frontiers in Psychology, 7//,872. https://doi.org/10.3389/fpsyg.2016.00872
Brody, L.R., & Park, S.H. (2004). Narratives, mindfulness, and the implicit audience. //Clinical Psychology-science and Practice, 11//(2), 147-154. https://doi.org/10.1093/clipsy/bph065
Burgess, D.J., Beach, M.C., & Saha, S. (2017). Mindfulness practice: A promising approach to reducing the effects of clinician implicit bias on patients. //Patient Education and Counseling, 100//(2), 372-376. https://doi.org/10.1016/j.pec.2016.09.005
Christensen, D.R., Dowling, N.A., Jackson, A.C., Brown, M., Russo, J., Francis, K.L., ... & Umemoto, A. (2013). A proof of concept for using brief dialectical behavior therapy as a treatment for problem gambling. //Behaviour Change, 30//(2), 117-137. https://doi.org/10.1017/bec.2013.10
Crescentini, C., Urgesi, C., Campanella, F., Eleopra, R., & Fabbro, F. (2014). Effects of an 8-week meditation program on the implicit and explicit attitudes toward religious/spiritual self-representations. //Consciousness and Cognition, 30//, 266-280. https://doi.org/10.1016/j.concog.2014.09.013
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Lovingkindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology: General, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
Keng, S.L., Seah, S.T.H., Tong, E.M.W., & Smoski, M. (2016). Effects of brief mindful acceptance induction on implicit dysfunctional attitudes and concordance between implicit and explicit dysfunctional attitudes. //Behaviour Research and Therapy, 83//, 1-10. https://doi.org/10.1016/j.brat.2016.05.004
Koole, S.L., Govorun, O., Cheng, C.M., & Gallucci, M. (2009). Pulling yourself together: Meditation promotes congruence between implicit and explicit self-esteem. //Journal of Experimental Social Psychology, 45//(6), 1220-1226. https://doi.org/10.1016/j.jesp.2009.05.018
Levesque, C., & Brown, K.W. (2007). Mindfulness as a moderator of the effect of implicit motivational self-concept on day-to-day behavioral motivation. //Motivation and Emotion, 31//(4), 284-299. https://doi.org/10.1007/s11031-007-9075-8
Levin, M.E., Haeger, J., & Smith, G.S. (2017). Examining the role of implicit emotional judgments in social anxiety and experiential avoidance. //Journal of Psychopathology and Behavioral Assessment, 39//(2), 264-278. https://doi.org/10.1007/s10862-016-9583-5
Lueke, A., & Gibson, B. (2015). Mindfulness meditation reduces implicit age and race bias: The role of reduced automaticity of responding. //Social Psychological and Personality Science, 6//(3), 284-291. https://doi.org/10.1177/1948550614559651
McKeith, C.F.A., Rock, A.J., & Clark, G.I. (2017). Trait mindfulness, problem-gambling severity, altered state of awareness and urge to gamble in poker-machine gamblers. //Journal of Gambling Studies, 33//(2), 617-632. https://doi.org/10.1007/s10899-016-9635-5
McPherson, A., & Harris, L.M. (2015). Mindfulness, explicit and implicit alcohol expectancies in alcohol dependent and non-alcohol dependent adults. //International Journal of Mental Health and Addiction, 13//(4), 457-469. https://doi.org/10.1007/s11469-014-9538-6
Nicholson, E., Hopkins-Doyle, A., Barnes-Holmes, D., & Roche, R.A.P. (2014). Psychopathology, anxiety or attentional control: Determining the variables which predict IRAP performance. //Psychological Record, 64//(2), 179-188. https://doi.org/10.1007/s40732-014-0020-4
Remmers, C., Topolinski, S., & Koole, S.L. (2016). Why being mindful may have more benefits than you realize: Mindfulness improves both explicit and implicit mood regulation. //Mindfulness, 7//(4), 829-837. https://doi.org/10.1007/s12671-016-0520-1
Stillman, C.M., Feldman, H., Wambach, C.G., Howard, J.H., & Howard, D.V. (2014). Dispositional mindfulness is associated with reduced implicit learning. //Consciousness and Cognition, 28//, 141-150. https://doi.org/10.1016/j.concog.2014.07.002
Stillman, C.M., You, X.Z., Seaman, K.L., Vaidya, C.J., Howard, J.H., & Howard, D.V. (2016). Task-related functional connectivity of the caudate mediates the association between trait mindfulness and implicit learning in older adults. //Cognitive Affective & Behavioral Neuroscience, 16//(4), 736-753. https://doi.org/10.3758/s13415-016-0427-2
Strick, M., & Papies, E.K. (2017). A brief mindfulness exercise promotes the correspondence between the implicit affiliation motive and goal setting. //Personality and Social Psychology Bulletin, 43//(5), 623-637. https://doi.org/10.1177/0146167217693611
Teasdale, J.D., & Chaskalson, M. (2011). How does mindfulness transform suffering? II: The transformation of //dukkha//. //Contemporary Buddhism, 12//(1), 103-124. https://doi.org/10.1080/14639947.2011.564826
Carter, K., & Olshan-Perlmutter, M. (2015). Impulsivity and stillness: NADA, pharmaceuticals, and psychotherapy in substance use and other DSM 5 Disorders. //Behavioral Sciences, 5//(4), 537-546. https://doi.org/10.3390/bs5040537
Hendrickson, K.L., & Rasmussen, E.B. (2013). Effects of mindful eating training on delay and probability discounting for food and money in obese and healthy-weight individuals. //Behaviour Research and Therapy, 51//(7), 399-409. https://doi.org/10.1016/j.brat.2013.04.002
Lattimore, P., Fisher, N., & Malinowski, P. (2011). A cross-sectional investigation of trait disinhibition and its association with mindfulness and impulsivity. //Appetite, 56//(2), 241-248. https://doi.org/10.1016/j.appet.2010.12.007
Lyvers, M., Hinton, R., Gotsis, S., Roddy, M., Edwards, M.S., & Thorberg, F.A. (2014). Traits linked to executive and reward systems functioning in clients undergoing residential treatment for substance dependence. //Personality and Individual Differences, 70//, 194-199. https://doi.org/10.1016/j.paid.2014.07.004
Mantzios, M. (2014). Exploring the relationship between worry and impulsivity in military recruits: The role of mindfulness and self-compassion as potential mediators. //Stress and Health, 30//(5), 397-404. https://doi.org/10.1002/smi.2617
Mason, L., O'Sullivan, N., Blackburn, M., Bentall, R., & El-Deredy, W. (2012). I want it now! Neural correlates of hypersensitivity to immediate reward in hypomania. //Biological Psychiatry, 71//(6), 530-537. https://doi.org/10.1016/j.biopsych.2011.10.008
Murphy, C., & MacKillop, J. (2012). Living in the here and now: Interrelationships between impulsivity, mindfulness, and alcohol misuse. //Psychopharmacology, 219//(2), 527-536. https://doi.org/10.1007/s00213-011-2573-0
Reid, R.C., Bramen, J.E., Anderson, A., & Cohen, M.S. (2014). Mindfulness, emotional dysregulation, impulsivity, and stress proneness among hypersexual patients. //Journal of Clinical Psychology, 70//(4), 313-321. https://doi.org/10.1002/jclp.22027
Staiger, P.K., Dawe, S., Richardson, B., Hall, K., & Kambouropoulos, N. (2014). Modifying the risk associated with an impulsive temperament: A prospective study of drug dependence treatment. //Addictive Behaviors, 39//(11), 1676-1681. https://doi.org/10.1016/j.addbeh.2014.05.001
Vinci, C., Peltier, M., Waldo, K., Kinsaul, J., Shah, S., Coffey, S.F., ... & Copeland, A.L. (2016). Examination of trait impulsivity on the response to a brief mindfulness intervention among college student drinkers. //Psychiatry Research, 242//, 365-374. https://doi.org/10.1016/j.psychres.2016.04.115
Yao, Y.W., Chen, P.R., Li, C.S.R., Hare, T.A., Li, S., Zhang, J.T., ... & Fang, X.Y. (2017). Combined reality therapy and mindfulness meditation decrease intertemporal decisional impulsivity in young adults with internet gaming disorder. //Computers in Human Behavior, 68//, 210-216. https://doi.org/10.1016/j.chb.2016.11.038
Sedlmeier, P., & Srinivas, K. (2016). How do theories of cognition and consciousness in ancient Indian thought systems relate to current Western theorizing and research? //Frontiers in Psychology, 7//, 343. https://doi.org/10.3389/fpsyg.2016.00343
Galhardo, A., Cunha, M., & Pinto-Gouveia, J. (2013). Mindfulness-based program for infertility: Efficacy study. //Fertility and Sterility, 100//(4), 1059-1067. https://doi.org/10.1016/j.fertnstert.2013.05.036
Li, J., Long, L., Liu, Y., He, W., & Li, M. (2016). Effects of a mindfulness-based intervention on fertility quality of life and pregnancy rates among women subjected to first in vitro fertilization treatment. //Behaviour Research and Therapy, 77//, 96-104. https://doi.org/10.1016/j.brat.2015.12.010
Peterson, B.D., & Eifert, G.H. (2011). Using Acceptance and Commitment Therapy to treat infertility stress. //Cognitive and Behavioral Practice, 18//(4), 577-587. https://doi.org/10.1016/j.cbpra.2010.03.004
Bongi, S.M., Del Rosso, A., Di Felice, C., Cala, M., & Dal Ben, G.G. (2012). Rességuier method and Qi Gong sequentially integrated in patients with fibromyalgia syndrome. //Clinical and Experimental Rheumatology, 30//(6), S51-S58.
Duschek, S., Werner, N.S., Limbert, N., Winkelmann, A., & Montoya, P. (2014). Attentional bias toward negative information in patients with fibromyalgia syndrome. //Pain Medicine, 15//(4), 603-612. https://doi.org/10.1111/pme.12360
Feliu-Soler, A., Borras, X., Penarrubia-Maria, M.T., Rozadilla-Sacanell, A., D'Amico, F., Moss-Morris, R., ... & Luciano, J.V. (2016). Cost-utility and biological underpinnings of mindfulness-based stress reduction (MBSR) versus a psychoeducational programme (FibroQol) for fibromyalgia: A 12-month randomised controlled trial (EUDAIMON study). //BMC Complementary and Alternative Medicine, 16//,81. https://doi.org/10.1186/s12906-016-1068-2
Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Meditation awareness training for individuals with fibromyalgia syndrome: An interpretative phenomenological analysis of participants' experiences. //Mindfulness, 7//(2), 409-419. https://doi.org/10.1007/s12671-015-0458-8
Van Gordon, W., Shonin, E., Dunn, T.J., Garcia-Campayo, J., & Griffiths, M.D. (2017). Meditation awareness training for the treatment of fibromyalgia syndrome: A randomized controlled trial. //British Journal of Health Psychology, 22//(1), 186-206. https://doi.org/10.1111/bjhp.12224
Alfonso, J.P., Caracuel, A., Delgado-Pastor, L.C., & Verdejo-Garcia, A. (2011). Combined goal management training and mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers. //Drug and Alcohol Dependence, 117//(1), 78-81. https://doi.org/10.1016/j.drugalcdep.2010.12.025
Azulay, J., Smart, C.M., Mott, T., & Cicerone, K.D. (2013). A pilot study examining the effect of mindfulness-based stress reduction on symptoms of chronic mild traumatic brain injury/postconcussive syndrome. //Journal of Head Trauma Rehabilitation, 28//(4), 323-331. https://doi.org/10.1097/HTR.0b013e318250ebda
Bedard, M., Felteau, M., Marshall, S., Cullen, N., Gibbons, C., Dubois, S., ... & Moustgaard, A. (2014). Mindfulness-based cognitive therapy reduces symptoms of depression in people with a traumatic brain injury: Results from a randomized controlled trial. //Journal of Head Trauma Rehabilitation, 29//(4), E13-E22. https://doi.org/10.1097/HTR.0b013e3182a615a0
Bedard, M., Felteau, M., Mazmanian, D., Fedyk, K., Klein, R., Richardson, J., ... & Minthorn-Biggs, M.B. (2003). Pilot evaluation of a mindfulness-based intervention to improve quality of life among individuals who sustained traumatic brain injuries. //Disability and Rehabilitation, 25//(13), 722-731. https://doi.org/10.1080/0963828031000090489
Donnelly, K.Z., Linnea, K., Grant, D.A., & Lichtenstein, J. (2017). The feasibility and impact of a yoga pilot programme on the quality-of-life of adults with acquired brain injury. //Brain Injury, 31//(2), 208-214. https://doi.org/10.1080/02699052.2016.1225988
Haller, C.S. (2015). Mindful creativity scale (MCS): Validation of a German version of the Langer mindfulness scale with patients with severe tbi and controls. //Brain Injury, 29//(4), 517-526. https://doi.org/10.3109/02699052.2014.989906
Haller, C.S., Bosma, C.M., Kapur, K., Zafonte, R., & Langer, E.J. (2017). Mindful creativity matters: Trajectories of reported functioning after severe traumatic brain injury as a function of mindful creativity in patients' relatives: A multilevel analysis. //Quality of Life Research, 26//(4), 893-902. https://doi.org/10.1007/s11136-016-1416-1
Hofer, H., Holtforth, M.G., Luthy, F., Frischknecht, E., Znoj, H., & Muri, R.M. (2014). The potential of a mindfulness-enhanced, integrative neuro-psychotherapy program for treating fatigue following stroke: A preliminary study. //Mindfulness, 5//(2), 192-199. https://doi.org/10.1007/s12671-012-0167-5
Johansson, B., & Ronnback, L. (2017). Assessment and treatment of mental fatigue after a traumatic brain injury. //Neuropsychological Rehabilitation, 27//(7), 1047-1055. https://doi.org/10.1080/09602011.2017.1292921
Johansson, B., Bjuhr, H., & Ronnback, L. (2012). Mindfulness-based stress reduction (MBSR) improves long-term mental fatigue after stroke or traumatic brain injury. //Brain Injury, 26//(13-14), 1621-1628. https://doi.org/10.3109/02699052.2012.700082
Johansson, B., Bjuhr, H., & Ronnback, L. (2015). Evaluation of an advanced mindfulness program following a mindfulness-based stress reduction program for participants suffering from mental fatigue after acquired brain injury. //Mindfulness, 6//(2), 227-233. https://doi.org/10.1007/s12671-013-0249-z
Johansson, B., Bjuhr, H., Karlsson, M., Karlsson, J.O., & Ronnback, L. (2015). Mindfulness-based stress reduction (MBSR) delivered live on the internet to individuals suffering from mental fatigue after an acquired brain injury. //Mindfulness, 6//(6), 1356-1365. https://doi.org/10.1007/s12671-015-0406-7
Kangas, M., & McDonald, S. (2011). Is it time to act? The potential of acceptance and commitment therapy for psychological problems following acquired brain injury. //Neuropsychological Rehabilitation, 21//(2), 250-276. https://doi.org/10.1080/09602011.2010.540920
Levine, B., Schweizer, T.A., O'Connor, C., Turner, G., Gillingham, S., Stuss, D.T., ... & Robertson, I.H. (2011). Rehabilitation of executive functioning in patients with frontal lobe brain damage with goal management training. //Frontiers in Human Neuroscience, 5//, 9. https://doi.org/10.3389/fnhum.2011.00009
Magnusson, G., Ballegaard, S., Karpatschof, B., & Nyboe, J. (2010). Long-term effects of integrated rehabilitation in patients with stroke: A nonrandomized comparative feasibility study. //Journal of Alternative and Complementary Medicine, 16//(4), 369-374. https://doi.org/10.1089/acm.2009.0097
McHugh, L., & Wood, R. (2013). Stimulus over-selectivity in temporal brain injury: Mindfulness as a potential intervention. //Brain Injury, 27//(13-14), 1595-1599. https://doi.org/10.3109/02699052.2013.834379
McMillan, T., Robertson, I.H., Brock, D., & Chorlton, L. (2002). Brief mindfulness training for attentional problems after traumatic brain injury: A randomised control treatment trial. //Neuropsychological Rehabilitation, 12//(2), 117-125. https://doi.org/10.1080/09602010143000202
Richer, A.C. (2017). Functional medicine approach to traumatic brain injury. //Medical Acupuncture, 29//(4), 206-214. https://doi.org/10.1089/acu.2017.1217
Gard, T., Taquet, M., Dixit, R., Holzel, B.K., de Montjoye, Y.A., Brach, N., ... & Lazar, S.W. (2014). Fluid intelligence and brain functional organization in aging yoga and meditation practitioners. //Frontiers in Aging Neuroscience, 6//, 76. https://doi.org/10.3389/fnagi.2014.00076
Heshmati, R., & Ahmadkhanloo, E. (2017). Emotional intelligence, emotional self-regulation and dispositional mindfulness in high school gifted students. //Mediterranean Journal of Clinical Psychology, 5//(2). https://doi.org/10.6092/2282-1619/2017.5.1552
Park, H.J., & Dhandra, T.K. (2017). Relation between dispositional mindfulness and impulsive buying tendency: Role of trait emotional intelligence. //Personality and Individual Differences, 105//, 208-212. https://doi.org/10.1016/j.paid.2016.09.061
Schutte, N.S., & Malouff, J.M. (2011). Emotional intelligence mediates the relationship between mindfulness and subjective well-being. //Personality and Individual Differences, 50//(7), 1116-1119. https://doi.org/10.1016/j.paid.2011.01.037
Singh, Y., Sharma, R., & Talwar, A. (2012). Immediate and long-term effects of meditation on acute stress reactivity, cognitive functions, and intelligence. //Alternative Therapies in Health and Medicine, 18//(6), 46-53 . https://www.medscape.com/medline/abstract/23251943
Snowden, A., Stenhouse, R., Young, J., Carver, H., Carver, F., & Brown, N. (2015). The relationship between emotional intelligence, previous caring experience and mindfulness in student nurses and midwives: A cross sectional analysis. //Nurse Education Today, 35//(1), 152-158. https://doi.org/10.1016/j.nedt.2014.09.004
Swannell, E.J., & McDermott, M.R. (2015). Measuring and predicting mental health literacy for depression. //International Journal of Mental Health Promotion, 17//(5), 293-311. https://doi.org/10.1080/14623730.2015.1089010
Wang, Y., & Kong, F. (2014). The role of emotional intelligence in the impact of mindfulness on life satisfaction and mental distress. //Social Indicators Research, 116//(3), 843-852. https://doi.org/10.1007/s11205-013-0327-6
Wright, C.J., & Schutte, N.S. (2014). The relationship between greater mindfulness and less subjective experience of chronic pain: Mediating functions of pain management self-efficacy and emotional intelligence. //Australian Journal of Psychology, 66//(3), 181-186. https://doi.org/10.1111/ajpy.12041
Cohen, M., & Fried, G. (2007). Comparing relaxation training and cognitive-behavioral group therapy for women with breast cancer. //Research on Social Work Practice, 17//(3), 313-323. https://doi.org/10.1177/1049731506293741
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Lovingkindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology: General, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
MacDonald, E.E., Hastings, R.P., & Fitzsimons, E. (2010). Psychological acceptance mediates the impact of the behaviour problems of children with intellectual disability on fathers' psychological adjustment. //Journal of Applied Research in Intellectual Disabilities, 23//(1), 27-37. https://doi.org/10.1111/j.1468-3148.2009.00546.x
Parks, S., Birtel, M.D., & Crisp, R.J. (2014). Evidence that a brief meditation exercise can reduce prejudice toward homeless people. //Social Psychology, 45//(6), 458-465. https://doi.org/10.1027/1864-9335/a000212
Pinazo, D., & Breso, E. (2017). The effects of a self-observation-based meditation intervention on acceptance or rejection of the other. //International Journal of Psychology, 52//(4), 300-307. https://doi.org/10.1002/ijop.12223
Pinazo, D., & Vazquez, C. (2014). The effect of meditation based on self-observation on cognitive responses in conflictive social interaction. //Nordic Psychology, 66//(3), 202-215. https://doi.org/10.1080/19012276.2014.935460
Price-Blackshear, M.A., Kamble, S.V., Mudhol, V., Sheldon, K.M., & Bettencourt, B.A. (2017). Mindfulness practices moderate the association between Intergroup anxiety and Outgroup attitudes. //Mindfulness, 8//(5), 1172-1183. https://doi.org/10.1007/s12671-017-0689-y
Tincher, M.M., Lebois, L.A.M., & Barsalou, L.W. (2016). Mindful attention reduces linguistic Intergroup bias. //Mindfulness, 7//(2), 349-360. https://doi.org/10.1007/s12671-015-0450-3
Arslan, G. (2017). Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: A study of mediation effect. //Computers in Human Behavior, 72//, 57-66. https://doi.org/10.1016/j.chb.2017.02.037
Calvete, E., Gamez-Guadix, M., & Cortazar, N. (2017). Mindfulness facets and problematic internet use: A six-month longitudinal study. //Addictive Behaviors, 72//, 57-63. https://doi.org/10.1016/j.addbeh.2017.03.018
Gamez-Guadix, M., & Calvete, E. (2016). Assessing the relationship between mindful awareness and problematic internet use among adolescents. //Mindfulness, 7//(6), 1281-1288. https://doi.org/10.1007/s12671-016-0566-0
Iskender, M., & Akin, A. (2011). Self-compassion and internet addiction. //Turkish Online Journal of Educational Technology, 10//(3), 215-221.
Mazzoni, E., Cannata, D., & Baiocco, L. (2017). Focused, not lost: The mediating role of temporal dissociation and focused immersion on problematic internet use. //Behaviour & Information Technology, 36//(1), 11-20. https://doi.org/10.1080/0144929X.2016.1159249
Kivi, M., Eriksson, M.C.M., Hange, D., Petersson, E.L., Vernmark, K., Johansson, B., ... & Bjorkelund, C. (2014). Internet-based therapy for mild to moderate depression in Swedish primary care: Short term results from the prim-net randomized controlled trial. //Cognitive Behaviour Therapy, 43//(4), 289-298. https://doi.org/10.1080/16506073.2014.921834
Ljotsson, B., Andersson, G., Andersson, E., Hedman, E., Lindfors, P., Andreewitch, S., ... & Lindefors, N. (2011). Acceptability, effectiveness, and cost-effectiveness of internet-based exposure treatment for irritable bowel syndrome in a clinical sample: A randomized controlled trial. //BMC Gastroenterology, 11//, 110. https://doi.org/10.1186/1471-230X-11-110
Ljotsson, B., Hedman, E., Andersson, E., Hesser, H., Lindfors, P., Hursti, T., ... & Andersson, G. (2011). Internet-delivered exposure-based treatment vs. stress management for irritable bowel syndrome: A randomized trial. //American Journal of Gastroenterology, 106//(8), 1481-1491. https://doi.org/10.1038/ajg.2011.139
Ljotsson, B., Hesser, H., Andersson, E., Lackner, J.M., El Alaoui, S., Falk, L., ... & Hedman, E. (2014). Provoking symptoms to relieve symptoms: A randomized controlled dismantling study of exposure therapy in irritable bowel syndrome. //Behaviour Research and Therapy, 55//, 27-39. https://doi.org/10.1016/j.brat.2014.01.007
Noguchi, R., Sekizawa, Y., So, M., Yamaguchi, S., & Shimizu, E. (2017). Effects of five-minute internet-based cognitive behavioral therapy and simplified emotion-focused mindfulness on depressive symptoms: A randomized controlled trial. //BMC Psychiatry, 17//, 85. https://doi.org/10.1186/s12888-017-1248-8
Chavooshi, B., Mohammadkhani, P., & Dolatshahee, B. (2017). Telemedicine vs. in-person delivery of intensive short-term dynamic psychotherapy for patients with medically unexplained pain: A 12-month randomized, controlled trial. //Journal of Telemedicine and Telecare, 23//(1), 133-141. https://doi.org/10.1177/1357633X15627382
Ljotsson, B., Atterlof, E., Lagerlof, M., Andersson, E., Jernelov, S., Hedman, E., ... & Wicksell, R.K. (2014). Internet-delivered acceptance and values-based exposure treatment for fibromyalgia: A pilot study. //Cognitive Behaviour Therapy, 43//(2), 93-104. https://doi.org/10.1080/16506073.2013.846401
Johansson, R., Hesser, H., Ljotsson, B., Frederick, R.J., & Andersson, G. (2012). Transdiagnostic, affect-focused, psychodynamic, guided self-help for depression and anxiety through the internet: Study protocol for a randomised controlled trial. //BMJ Open, 2//(6), e002167. https://doi.org/10.1136/bmjopen-2012-002167
Wolvers, M.D.J., Bruggeman-Everts, F.Z., Van der Lee, M.L., Van de Schoot, R., & Vollenbroek-Hutten, M.M.R. (2015). Effectiveness, mediators, and effect predictors of internet interventions for chronic cancer-related fatigue: The design and an analysis plan of a 3-armed randomized controlled trial. //JMIR Research Protocols, 4//(2). https://doi.org/10.2196/resprot.4363
Johansson, B., Bjuhr, H., Karlsson, M., Karlsson, J.O., & Ronnback, L. (2015). Mindfulness-Based Stress Reduction (MBSR) delivered live on the Internet to individuals suffering from mental fatigue after an acquired brain injury. //Mindfulness, 6//(6), 1356-1365. https://doi.org/10.1007/s12671-015-0406-7
Ljotsson, B., Hedman, E., Lindfors, P., Hursti, T., Lindefors, N., Andersson, G., ... & Ruck, C. (2011). Long-term follow-up of internet-delivered exposure and mindfulness based treatment for irritable bowel syndrome. //Behaviour Research and Therapy, 49//(1), 58-61. https://doi.org/10.1016/j.brat.2010.10.006
Ljotsson, B., Falk, L., Vesterlund, A.W., Hedman, E., Lindfors, P., Ruck, C., ... & Andersson, G. (2010). Internet-delivered exposure and mindfulness based therapy for irritable bowel syndrome - A randomized controlled trial. //Behaviour Research and Therapy, 48//(6), 531-539. https://doi.org/10.1016/j.brat.2010.03.003
Dahlin, M., Andersson, G., Magnusson, K., Johansson, T., Sjogren, J., Hakansson, A., ... & Carlbring, P. (2016). Internet-delivered acceptance-based behaviour therapy for generalized anxiety disorder: A randomized controlled trial. //Behaviour Research and Therapy, 77//, 86-95. https://doi.org/10.1016/j.brat.2015.12.007
Bornemann, B., & Singer, T. (2017). Taking time to feel our body: Steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. //Psychophysiology, 54//(3), 469-482. https://doi.org/10.1111/psyp.12790
Bornemann, B., Herbert, B.M., Mehling, W.E., & Singer, T. (2015). Differential changes in self-reported aspects of interoceptive awareness through 3 months of contemplative training. //Frontiers in Psychology, 5//, 1504. https://doi.org/10.3389/fpsyg.2014.01504
d'Alcala, C.R., Webster, D.G., & Esteves, J.E. (2015). Interoception, body awareness and chronic pain: Results from a case-control study. //International Journal of Osteopathic Medicine, 18//(1), 22-32. https://doi.org/10.1016/j.ijosm.2014.08.003
Daubenmier, J., Sze, J., Kerr, C.E., Kemeny, M.E., & Mehling, W. (2013). Follow your breath: Respiratory interoceptive accuracy in experienced meditators. //Psychophysiology, 50//(8), 777-789. https://doi.org/10.1111/psyp.12057
Delgado-Pastor, L.C., Ciria, L.F., Blanca, B., Mata, J.L., Vera, M.N., & Vila, J. (2015). Dissociation between the cognitive and interoceptive components of mindfulness in the treatment of chronic worry. //Journal of Behavior Therapy and Experimental Psychiatry, 48//, 192-199. https://doi.org/10.1016/j.jbtep.2015.04.001
Farb, N., Daubenmier, J., Price, C.J., Gard, T., Kerr, C., Dunn, B.D., ... & Mehling, W.E. (2015). Interoception, contemplative practice, and health. //Frontiers in Psychology, 6//, 763. https://doi.org/10.3389/fpsyg.2015.00763
Farb, N.A.S., Segal, Z.V., & Anderson, A.K. (2013). Mindfulness meditation training alters cortical representations of interoceptive attention. //Social Cognitive and Affective Neuroscience, 8//(1), 15-26. https://doi.org/10.1093/scan/nss066
Fiori, F., David, N., & Aglioti, S.M. (2014). Processing of proprioceptive and vestibular body signals and self-transcendence in Ashtanga yoga practitioners. //Frontiers in Human Neuroscience, 8//, 734. https://doi.org/10.3389/fnhum.2014.00734
Fischer, D., Messner, M., & Pollatos, O. (2017). Improvement of interoceptive processes after an 8-week body scan intervention. //Frontiers in Human Neuroscience, 11//, 452. https://doi.org/10.3389/fnhum.2017.00452
Fissler, M., Winnebeck, E., Schroeter, T., Gummersbach, M., Huntenburg, J.M., Gaertner, M., ... & Barnhofer, T. (2016). An investigation of the effects of brief mindfulness training on self-reported interoceptive awareness, the ability to decenter, and their role in the reduction of depressive symptoms. //Mindfulness, 7//(5), 1170-1181. https://doi.org/10.1007/s12671-016-0559-z
Haase, L., Thom, N.J., Shukla, A., Davenport, P.W., Simmons, A.N., Stanley, E.A., ... & Johnson, D.C. (2016). Mindfulness-based training attenuates insula response to an aversive interoceptive challenge. //Social Cognitive and Affective Neuroscience, 11//(1), 182-190. https://doi.org/10.1093/scan/nsu042
Hanley, A.W., Mehling, W.E., & Garland, E.L. (2017). Holding the body in mind: Interoceptive awareness, dispositional mindfulness and psychological well-being. //Journal of Psychosomatic Research, 99//, 13-20. https://doi.org/10.1016/j.jpsychores.2017.05.014
Kirk, U., Downar, J., & Montague, P.R. (2011). Interoception drives increased rational decision-making in meditators playing the ultimatum game. //Frontiers in Neuroscience, 5//, 49. https://doi.org/10.3389/fnins.2011.00049
Lattimore, P., Mead, B.R., Irwin, L., Grice, L., Carson, R., & Malinowski, P. (2017). 'I can't accept that feeling': Relationships between interoceptive awareness, mindfulness and eating disorder symptoms in females with, and at-risk of an eating disorder. //Psychiatry Research, 247//, 163-171. https://doi.org/10.1016/j.psychres.2016.11.022
Mehling, W.E., Price, C., Daubenmier, J.J., Acree, M., Bartmess, E., & Stewart, A. (2012). The multidimensional assessment of interoceptive awareness (MAIA). //PLOS ONE, 7//(11), e48230. https://doi.org/10.1371/journal.pone.0048230
Melloni, M., Sedeno, L., Couto, B., Reynoso, M., Gelormini, C., Favaloro, R., ... & Ibanez, A. (2013). Preliminary evidence about the effects of meditation on interoceptive sensitivity and social cognition. //Behavioral and Brain Functions, 9//, 47. https://doi.org/10.1186/1744-9081-9-47
Mirams, L., Poliakoff, E., Brown, R.J., & Lloyd, D.M. (2013). Brief body-scan meditation practice improves somatosensory perceptual decision making. //Consciousness and Cognition, 22//(1), 348-359. https://doi.org/10.1016/j.concog.2012.07.009
Otten, S., Schotz, E., Wittmann, M., Kohls, N., Schmidt, S., & Meissner, K. (2015). Psychophysiology of duration estimation in experienced mindfulness meditators and matched controls. //Frontiers in Psychology, 6//, 1215. https://doi.org/10.3389/fpsyg.2015.01215
Parkin, L., Morgan, R., Rosselli, A., Howard, M., Sheppard, A., Evans, D., ... & Dunn, B. (2014). Exploring the relationship between mindfulness and cardiac perception. //Mindfulness, 5//(3), 298-313. https://doi.org/10.1007/s12671-012-0181-7
Price, C., & Smith-DiJulio, K. (2016). Interoceptive awareness is important for relapse prevention perceptions of women who received mindful body awareness in substance use disorder treatment. //Journal of Addictions Nursing, 27//(1), 32-38. https://doi.org/10.1097/JAN.0000000000000109
Schauder, K.B., Mash, L.E., Bryant, L.K., & Cascio, C.J. (2015). Interoceptive ability and body awareness in autism spectrum disorder. //Journal of Experimental Child Psychology, 131//, 193-200. https://doi.org/10.1016/j.jecp.2014.11.002
Silverstein, R.G., Brown, A.C.H., Roth, H.D., & Britton, W.B. (2011). Effects of mindfulness training on body awareness to sexual stimuli: Implications for female sexual dysfunction. //Psychosomatic Medicine, 73//(9), 817-825. https://doi.org/10.1097/PSY.0b013e318234e628
Villemure, C., Ceko, M., Cotton, V.A., & Bushnell, M.C. (2014). Insular cortex mediates increased pain tolerance in yoga practitioners. //Cerebral Cortex, 24//(10), 2732-2740. https://doi.org/10.1093/cercor/bht124
Bonn-Miller, M.O., Zvolensky, M.J., & Bernstein, A. (2009). Discomfort intolerance: Evaluation of incremental validity for panic-relevant symptoms using 10% carbon dioxide-enriched air provocation. //Journal of Anxiety Disorders, 23//(2), 197-203. https://doi.org/10.1016/j.janxdis.2008.06.007
Domotor, Z., Doering, B.K., & Koteles, F. (2016). Dispositional aspects of body focus and idiopathic environmental intolerance attributed to electromagnetic fields (IEI‐EMF). //Scandinavian Journal of Psychology, 57//(2), 136-143. https://doi.org/10.1111/sjop.12271
Garland, E.L., Kiken, L.G., Faurot, K., Palsson, O., & Gaylord, S.A. (2017). Upward spirals of mindfulness and reappraisal: Testing the mindfulness-to-meaning theory with autoregressive latent trajectory modeling. //Cognitive Therapy and Research, 41//(3), 381-392. https://doi.org/10.1007/s10608-016-9768-y
Kim, M.K., Lee, K.S., Kim, B., Choi, T.K., & Lee, S.H. (2016). Impact of mindfulness-based cognitive therapy on intolerance of uncertainty in patients with panic disorder. //Psychiatry Investigation, 13//(2), 196-202. https://doi.org/10.4306/pi.2016.13.2.196
Lotan, G., Tanay, G., & Bernstein, A. (2013). Mindfulness and distress tolerance: Relations in a mindfulness preventive intervention. //International Journal of Cognitive Therapy, 6//(4), 371-385. https://doi.org/10.1521/ijct.2013.6.4.371
Gregory, M. (2000). Care as a goal of democratic education. //Journal of Moral Education, 29//(4), 445-461. https://doi.org/10.1080/713679392
Leffel, G.M., Oakes Mueller, R.A., Ham, S.A., Curlin, F.A., & Yoon, J.D. (2017). Project on the good physician: A proposal for a moral intuitionist model of virtuous caring. //Teaching and Learning in Medicine, 29//(1), 75-84. https://doi.org/10.1080/10401334.2016.1205497
Remmers, C., Topolinski, S., & Michalak, J. (2015). Mindful(l) intuition: Does mindfulness influence the access to intuitive processes? //Journal of Positive Psychology, 10//(3), 282-292. https://doi.org/10.1080/17439760.2014.950179
Sairanen, E., Tolvanen, A., Karhunen, L., Kolehmainen, M., Jarvela, E., Rantala, S., ... & Lappalainen, R. (2015). Psychological flexibility and mindfulness explain intuitive eating in overweight adults. //Behavior Modification, 39//(4), 557-579. https://doi.org/10.1177/0145445515576402
Arimitsu, K. (2016). The effects of a program to enhance self-compassion in Japanese individuals: A randomized controlled pilot study. //Journal of Positive Psychology, 11//(6), 559-571. https://doi.org/10.1080/17439760.2016.1152593
Ozawa-de Silva, C. (2015). Mindfulness of the kindness of others: The contemplative practice of Naikan in cultural context. //Transcultural Psychiatry, 52//(4), 524-542. https://doi.org/10.1177/1363461514562922
Sugiura, Y., Sato, A., Ito, Y., & Murakami, H. (2012). Development and validation of the Japanese version of the ive Facet Mindfulness Questionnaire. F//Mindfulness, 3//(2), 85-94. https://doi.org/10.1007/s12671-011-0082-1
Kehoe, N.C. (2017). On an inner journey. //Spirituality in Clinical Practice, 4//(2), 158-160. https://doi.org/10.1037/scp0000135
Shaw, M., Lee, A., & Williams, R. (2015). Formative journeys of first-year college students: Tensions and intersections with intercultural theory. //Higher Education Research & Development, 34//(1), 188-204. https://doi.org/10.1080/07294360.2014.934330
Weitz, M.V., Fisher, K., & Lachman, V.D. (2012). The journey of women with breast cancer who engage in mindfulness-based stress reduction: A qualitative exploration. //Holistic Nursing Practice, 26//(1), 22-29. https://doi.org/10.1097/HNP.0b013e31823c008b
Kraus, S., & Sears, S. (2009). Measuring the immeasurables: Development and initial validation of the self-other four immeasurables (SOFI) scale based on Buddhist teachings on loving kindness, compassion, joy, and equanimity. //Social Indicators Research, 92//(1), 169-181. https://doi.org/10.1007/s11205-008-9300-1
Nasser, J.D., & Przeworski, A. (2017). A comparison of two brief present moment awareness training paradigms in high worriers. //Mindfulness, 8//(3), 775-787. https://doi.org/10.1007/s12671-016-0656-z
Zeng, X.L., Chan, V.Y.L., Oei, T.P.S., Leung, F.Y.K., & Liu, X.P. (2017). Appreciative joy in Buddhism and positive empathy in psychology: How do they differ?. //Mindfulness, 8//(5), 1184-1194. https://doi.org/10.1007/s12671-017-0690-5
Zeng, X.L., Liao, R., Zhang, R.R., Oei, T.P.S., Yao, Z.H., Leung, F.Y.K., ... & Liu, X.P. (2017). Development of the Appreciative Joy Scale. //Mindfulness, 8//(2), 286-299. https://doi.org/10.1007/s12671-016-0599-4
Baum, C., Kuyken, W., Bohus, M., Heidenreich, T., Michalak, J., & Steil, R. (2010). The psychometric properties of the Kentucky Inventory of Mindfulness Skills in clinical populations. //Assessment, 17//(2), 220-229. https://doi.org/10.1177/1073191109356525
Christopher, M.S., & Gilbert, B.D. (2010). Incremental validity of components of mindfulness in the prediction of satisfaction with life and depression. //Current Psychology, 29//(1), 10-23. https://doi.org/10.1007/s12144-009-9067-9
Dekeyser, M., Raes, F., Leijssen, M., Leysen, S., & Dewulf, D. (2008). Mindfulness skills and interpersonal behaviour. //Personality and Individual Differences, 44//(5), 1235-1245. https://doi.org/10.1016/j.paid.2007.11.018
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2016). Rasch analysis of the Kentucky Inventory of Mindfulness Skills. //Mindfulness, 7//(2), 466-478. https://doi.org/10.1007/s12671-015-0475-7
Nicastro, R., Jermann, F., Bondolfi, G., & McQuillan, A. (2010). Assessment of mindfulness with the French version of the Kentucky Inventory of Mindfulness Skills in community and borderline personality disorder samples. //Assessment, 17//(2), 197-205. https://doi.org/10.1177/1073191110363551
Sauer, S., Walach, H., & Kohls, N. (2011). Gray's Behavioural Inhibition System as a mediator of mindfulness towards well-being. //Personality and Individual Differences, 50//(4), 506-511. https://doi.org/10.1016/j.paid.2010.11.019
Tanner, M.A., Travis, F., Gaylord-King, C., Haaga, D.A.F., Grosswald, S., & Schneider, R.H. (2009). The effects of the transcendental meditation program on mindfulness. //Journal of Clinical Psychology, 65//(6), 574-589. https://doi.org/10.1002/jclp.20544
Akerjordet, K., & Severinsson, E. (2010). Being in charge - new mothers' perceptions of reflective leadership and motherhood. //Journal of Nursing Management, 18//(4), 409-417. https://doi.org/10.1111/j.1365-2834.2010.01108.x
Baron, L. (2016). Authentic leadership and mindfulness development through action learning. //Journal of Managerial Psychology, 31//(1), 296-311. https://doi.org/10.1108/JMP-04-2014-0135
Brendel, W., & Bennett, C. (2016). Learning to embody leadership through mindfulness and somatics practice. //Advances in Developing Human Resources, 18//(3), 409-425. https://doi.org/10.1177/1523422316646068
Brendel, W., Hankerson, S., Byun, S., & Cunningham, B. (2016). Cultivating leadership dharma measuring the impact of regular mindfulness practice on creativity, resilience, tolerance for ambiguity, anxiety and stress. //Journal of Management development, 35//(8), 1056-1078. https://doi.org/10.1108/JMD-09-2015-0127
Chandwani, R., Agrawal, N.M., & Kedia, B.L. (2016). Mindfulness: Nurturing global mind-set and leadership. //Thunderbird International Business Review, 58//(6), 617-625. https://doi.org/10.1002/tie.21760
Chen, Y.S., Chang, C.H., & Lin, Y.H. (2014). Green transformational leadership and green performance: The mediation effects of green mindfulness and green self-efficacy. //Sustainability, 6//(10), 6604-6621. https://doi.org/10.3390/su6106604
Chesley, J., & Wylson, A. (2016). Ambiguity: The emerging impact of mindfulness for change leaders. //Journal of Change Management, 16//(4), 317-336. https://doi.org/10.1080/14697017.2016.1230334
Doyle, K., & Hungerford, C. (2015). Leadership as a personal journey: An indigenous perspective. //Issues in Mental Health Nursing, 36//(5), 336-345. https://doi.org/10.3109/01612840.2015.1009663
Eide, T., van Dulmen, S., & Eide, H. (2016). Educating for ethical leadership through web-based coaching: A feasibility study. //Nursing Ethics, 23//(8), 851-865. https://doi.org/10.1177/0969733015584399
Eisenbeiss, S.A., & van Knippenberg, D. (2015). On ethical leadership impact: The role of follower mindfulness and moral emotions. //Journal of Organizational Behavior, 36//(2), 182-195. https://doi.org/10.1002/job.1968
Fry, L., & Kriger, M. (2009). Towards a theory of being-centered leadership: Multiple levels of being as context for effective leadership. //Human Relations, 62//(11), 1667-1696. https://doi.org/10.1177/0018726709346380
Fyke, J.P., & Buzzanell, P.M. (2013). The ethics of conscious capitalism: Wicked problems in leading change and changing leaders. //Human Relations, 66//(12), 1619-1644. https://doi.org/10.1177/0018726713485306
Grandy, G., & Sliwa, M. (2017). Contemplative leadership: The possibilities for the ethics of leadership theory and practice. //Journal of Business Ethics, 143//(3), 423-440. https://doi.org/10.1007/s10551-015-2802-2
Hanold, M. (2017). Toward a new approach to authentic leadership: The practice of embodied dialogical "thinking" and the promise of shared power. //Advances in Developing Human Resources, 19//(4), 454-466. https://doi.org/10.1177/1523422317728940
Hegge, M. (2011). The empty carriage: Lessons in leadership from Florence Nightingale. //Nursing Science Quarterly, 24//(1), 21-25. https://doi.org/10.1177/0894318410389068
King, E., & Haar, J.M. (2017). Mindfulness and job performance: A study of Australian leaders. //Asia Pacific Journal of Human Resources, 55//(3), 298-319. https://doi.org/10.1111/1744-7941.12143
Kroon, B., van Woerkom, M., & Menting, C. (2017). Mindfulness as substitute for transformational leadership. //Journal of Managerial Psychology, 32//(4), 284-297. https://doi.org/10.1108/JMP-07-2016-0223
Kruse, S.D., & Johnson, B.L. (2017). Tempering the normative demands of professional learning communities with the organizational realities of life in schools: Exploring the cognitive dilemmas faced by educational leaders. //Educational Management Administration & Leadership, 45//(4), 588-604. https://doi.org/10.1177/1741143216636111
Lewis, A.B., & Ebbeck, V. (2014). Mindful and self-compassionate leadership development: Preliminary discussions with wildland fire managers. //Journal of Forestry, 112//(2), 230-236. https://doi.org/10.5849/jof.12-107
Menemenci, N. (2012). The practice of being self-leaders in online learning environment. //Eurasian Journal of Educational Research, 12//(49A), 141-150.
Pipe, T.B., Bortz, J.J., Dueck, A., Pendergast, D., Buchda, V., & Summers, J. (2009). Nurse leader mindfulness meditation program for stress management: A randomized controlled trial. //Journal of Nursing Administration, 39//(3), 130-137. https://doi.org/10.1097/NNA.0b013e31819894a0
Raney, A.F. (2014). Agility in adversity: Integrating mindfulness and principles of adaptive leadership in the administration of a community mental health center. //Clinical Social Work Journal, 42//(3), 312-320. https://doi.org/10.1007/s10615-014-0487-0
Sampl, J., Maran, T., & Furtner, M.R. (2017). A randomized controlled pilot intervention study of a mindfulness-based self-leadership training (MBSLT) on stress and performance. //Mindfulness, 8//(5), 1393-1407. https://doi.org/10.1007/s12671-017-0715-0
Santorelli, S.F. (2011). 'Enjoy your death': Leadership lessons forged in the crucible of organizational death and rebirth infused with mindfulness and mastery. //Contemporary Buddhism, 12//(1), 199-217. https://doi.org/10.1080/14639947.2011.564839
Sharpnack, P.A., Goliat, L., & Rogers, K. (2013). Using standardized patients to teach leadership competencies. //Clinical Simulation in Nursing, 9//(3), E95-E102. https://doi.org/10.1016/j.ecns.2011.10.001
Singh, A., Sengupta, S., & Sharma, S. (2016). Empathy and mindfulness: Potential antecedents to authentic leadership. //International Journal of Human Capital and Information Technology Professionals, 7//(4), 1-14. https://doi.org/10.4018/IJHCITP.2016100101
Thomas, D., Fox, R., & Miller, C. (2015). Voices from the field: Wildland fire managers and high-reliability organizing mindfulness. //Society & Natural Resources, 28//(8), 825-838. https://doi.org/10.1080/08941920.2015.1014590
Verdorfer, A.P. (2016). Examining mindfulness and its relations to humility, motivation to lead, and actual servant leadership behaviors. //Mindfulness, 7//(4), 950-961. https://doi.org/10.1007/s12671-016-0534-8
Waldron, A.L., & Ebbeck, V. (2015). The relationship of mindfulness and self-compassion to desired wildland fire leadership. //International Journal of Wildland Fire, 24//(2), 201-211. https://doi.org/10.1071/WF13212
Ward, S.F., & Haase, B. (2016). Conscious leadership. //Aorn Journal, 104//(5), 433.e1-433.e9. https://doi.org/10.1016/j.aorn.2016.09.002
Warde, C.M., Vermillion, M., & Uljtdehaage, S. (2014). A medical student leadership course led to teamwork, advocacy, and mindfulness. //Family Medicine, 46//(6), 459-462.
Wasylkiw, L., Holton, J., Azar, R., & Cook, W. (2015). The impact of mindfulness on leadership effectiveness in a health care setting: A pilot study. //Journal of Health Organization and Management, 29//(7), 893-911. https://doi.org/10.1108/JHOM-06-2014-0099
Weaver, R.R. (2015). Seeking high reliability in primary care leadership, tools, and organization. //Health Care Management Review, 40//(3), 183-192. https://doi.org/10.1097/HMR.0000000000000022
Lin, C.Y., Kuo, T.H., Kuo, Y.K., Kuo, Y.L., Ho, L.A., & Lin, C.T. (2007). Practice makes better? A study of meditation learners in a classroom environment. //Educational Studies, 33//(1), 65-80. https://doi.org/10.1080/03055690600948216
Sitzman, K.L., Jensen, A., & Chan, S. (2016). Creating a global community of learners in nursing and beyond: Caring science, mindful practice MOOC. //Nursing Education Perspectives, 37//(5), 269-274. https://doi.org/10.1097/01.NEP.0000000000000062
Sheikhzadeh, E., & Khatami, M. (2017). Critical thinking, mindfulness and academic achievement among Iranian EFL learners. //Modern Journal of Language Teaching Methods, 7//(3), 281-294.
Sheikhzadeh, E., & Khatami, M. (2017). The possible relationship between mindfulness and academic achievement among Iranian EFL learners. //Modern Journal of Language Teaching Methods, 7//(2), 43-48.
Bayer, J.B., Dal Cin, S., Campbell, S.W., & Panek, E. (2016). Consciousness and self-regulation in mobile communication. //Human Communication Research, 42//(1), 71-97. https://doi.org/10.1111/hcre.12067
Cohen, M., & Fried, G. (2007). Comparing relaxation training and cognitive-behavioral group therapy for women with breast cancer. //Research on Social Work Practice, 17//(3), 313-323. https://doi.org/10.1177/1049731506293741
Cramer, H., Lauche, R., Moebus, S., Michalsen, A., Langhorst, J., Dobos, G., ... & Paul, A. (2014). Predictors of health behavior change after an integrative medicine inpatient program. //International Journal of Behavioral Medicine, 21//(5), 775-783. https://doi.org/10.1007/s12529-013-9354-6
Leary, M.R., Adams, C.E., & Tate, E.B. (2006). Hypo-Egoic self-regulation: Exercising self-control by diminishing the influence of the self. //Journal of Personality, 74//(6), 1803-1831. https://doi.org/10.1111/j.1467-6494.2006.00429.x
Lebois, L.A.M., Papies, E.K., Gopinath, K., Cabanban, R., Quigley, K.S., Krishnamurthy, V., ... & Barsalou, L.W. (2015). A shift in perspective: Decentering through mindful attention to imagined stressful events. //Neuropsychologia, 75//, 505-524. https://doi.org/10.1016/j.neuropsychologia.2015.05.030
Oluyinka, O. (2011). Psychological predictors of attitude towards seeking professional psychological help in a Nigerian university student population. //South African Journal of Psychology, 41//(3), 310-327. https://doi.org//10.1177/008124631104100306
Perenc, L., & Radochonski, M. (2016). Psychological predictors of seeking help from mental health practitioners among a large sample of Polish young adults. //International Journal of Environmental Research and Public Health, 13//(11), 1049. https://doi.org/10.3390/ijerph13111049
Schiestel, L., & Schonbrodt, F.D. (2016). Does the experience of presence restore self-control? //Self and Identity, 15//(3), 327-341. https://doi.org/10.1080/15298868.2015.1132758
Alba, B. (2013). Loving-kindness meditation: A field study. //Contemporary Buddhism, 14//(2), 187-203. https://doi.org/10.1080/14639947.2013.832494
Ariyabuddhiphongs, V., & Pratchawittayagorn, A. (2014). Peace of mind and organizational citizenship behavior the mediating effect of loving kindness. //Archive for the Psychology of Religion, 36//(2), 233-252. https://doi.org/10.1163/15736121-12341284
Kristeller, J.L., & Johnson, T. (2005). Science looks at spirituality - cultivating loving kindness: A two-stage model of the effects of meditation on empathy, compassion, and altruism. //Zygon, 40//(2), 391-407. https://doi.org/10.1111/j.1467-9744.2005.00671.x
Scott, C., & Tuana, N. (2016). An infused dialogue, part 2: The power of love without objectivity. //Journal of Speculative Philosophy, 30//(1), 15-26. https://doi.org/10.5325/jspecphil.30.1.0015
Sleeth, D.B. (2013). Three pillars of recovery: The role of integral love in clinical practice. //Journal of Humanistic Psychology, 53//(1), 5-25. https://doi.org/10.1177/0022167811418360
Aspy, D.J., & Proeve, M. (2017). Mindfulness and loving-kindness meditation: Effects on connectedness to humanity and to the natural world. //Psychological Reports, 120//(1), 102-117. https://doi.org/10.1177/0033294116685867
Boellinghaus, I., Jones, F.W., & Hutton, J. (2013). Cultivating self-care and compassion in psychological therapists in training: The experience of practicing loving-kindness meditation. //Training and Education in Professional Psychology, 7//(4), 267-277. https://doi.org/10.1037/a0033092
Boyle, M.P. (2011). Mindfulness training in stuttering therapy: A tutorial for speech-language pathologists. //Journal of Fluency Disorders, 36//(2), 122-129. https://doi.org/10.1016/j.jfludis.2011.04.005
Feldman, G., Greeson, J., & Senville, J. (2010). Differential effects of mindful breathing, progressive muscle relaxation, and loving-kindness meditation on decentering and negative reactions to repetitive thoughts. //Behaviour Research and Therapy, 48//(10), 1002-1011. https://doi.org/10.1016/j.brat.2010.06.006
Feliu-Soler, A., Pascual, J.C., Elices, M., Martin-Blanco, A., Carmona, C., Cebolla, A., ... & Soler, J. (2017). Fostering self-compassion and loving-kindness in patients with borderline personality disorder: A randomized pilot study. //Clinical Psychology & Psychotherapy, 24//(1), 278-286. https://doi.org/10.1002/cpp.2000
Galla, B.M., Hale, T.S., Shrestha, A., Loo, S.K., & Smalley, S.L. (2012). The disciplined mind: Associations between the kentucky inventory of mindfulness skills and attention control. //Mindfulness, 3//(2), 95-103. https://doi.org/10.1007/s12671-011-0083-0
Hinton, D.E., Ojserkis, R.A., Jalal, B., Peou, S., & Hofmann, S.G. (2013). Loving-kindness in the treatment of traumatized refugees and minority groups: A typology of mindfulness and the nodal network model of affect and affect regulation. //Journal of Clinical Psychology, 69//(8), 817-828. https://doi.org/10.1002/jclp.22017
Hofmann, S.G., Petrocchi, N., Steinberg, J., Lin, M.Y., Arimitsu, K., Kind, S., ... & Stangier, U. (2015). Loving-kindness meditation to target affect in mood disorders: A proof-of-concept study. //Evidence-based Complementary and Alternative Medicine, NA//. https://doi.org/10.1155/2015/269126
Hoge, E.A., Chen, M.M., Orr, E., Metcalf, C.A., Fischer, L.E., Pollack, M.H., ... & Simon, N.M. (2013). Loving-kindness meditation practice associated with longer telomeres in women. //Brain Behavior and Immunity, 32//, 159-163. https://doi.org/10.1016/j.bbi.2013.04.005
Johnson, D.P., Penn, D.L., Fredrickson, B.L., Meyer, P.S., Kring, A.M., & Brantley, M. (2009). Loving-kindness meditation to enhance recovery from negative symptoms of schizophrenia. //Journal of Clinical Psychology, 65//(5), 499-509. https://doi.org/10.1002/jclp.20591
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Lovingkindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology-general, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
Kang, Y., Gray, J.R., & Dovidio, J.F. (2015). The head and the heart: Effects of understanding and experiencing lovingkindness on attitudes toward the self and others. //Mindfulness, 6//(5), 1063-1070. https://doi.org/10.1007/s12671-014-0355-6
Kearney, D.J., Malte, C.A., McManus, C., Martinez, M.E., Felleman, B., & Simpson, T.L. (2013). Loving-kindness meditation for posttraumatic stress disorder: A pilot study. //Journal of Traumatic Stress, 26//(4), 426-434. https://doi.org/10.1002/jts.21832
Kemper, K.J., Powell, D., Helms, C.C., & Kim-Shapiro, D.B. (2015). Loving-kindness meditation's effects on nitric oxide and perceived well-being: A pilot study in experienced and inexperienced meditators. //Explore: The Journal of Science and Healing, 11//(1), 32-39. https://doi.org/10.1016/j.explore.2014.10.002
Keng, S.L., & Tan, J.X. (2017). Effects of brief mindful breathing and loving-kindness meditation on shame and social problem solving abilities among individuals with high borderline personality traits. //Behaviour Research and Therapy, 97//, 43-51. https://doi.org/10.1016/j.brat.2017.07.004
Kirby, J.N., & Laczko, D. (2017). A randomized micro-trial of a loving-kindness meditation for young adults living at home with their parents. //Journal of Child and Family Studies, 26//(7), 1888-1899. https://doi.org/10.1007/s10826-017-0692-x
Lee, T.M.C., Leung, M.K., Hou, W.K., Tang, J.C.Y., Yin, J., So, K.F., ... & Chan, C.C.H. (2012). Distinct neural activity associated with focused-attention meditation and loving-kindness meditation. //PLOS ONE, 7//(8). https://doi.org/10.1371/journal.pone.0040054
Leppma, M., & Young, M.E. (2016). Loving-kindness meditation and empathy: A wellness group intervention for counseling students. //Journal of Counseling and Development, 94//(3), 297-305. https://doi.org/10.1002/jcad.12086
Leung, M.K., Chan, C.C.H., Yin, J., Lee, C.F., So, K.F., & Lee, T.M.C. (2013). Increased gray matter volume in the right angular and posterior parahippocampal gyri in loving-kindness meditators. //Social Cognitive and Affective Neuroscience, 8//(1), 34-39. https://doi.org/10.1093/scan/nss076
Logie, K., & Frewen, P. (2015). Self/other referential processing following mindfulness and loving-kindness meditation. //Mindfulness, 6//(4), 778–787.. https://doi.org/10.1007/s12671-014-0317-z
Lumma, A.L., Kok, B.E., & Singer, T. (2015). Is meditation always relaxing? investigating heart rate, heart rate variability, experienced effort and likeability during training of three types of meditation. //International Journal of Psychophysiology, 97//(1), 38-45. https://doi.org/10.1016/j.ijpsycho.2015.04.017
May, C.J., Weyker, J.R., Spengel, S.K., Finkler, L.J., & Hendrix, S.E. (2014). Tracking longitudinal changes in affect and mindfulness caused by concentration and loving-kindness meditation with hierarchical linear modeling. //Mindfulness, 5//(3), 249-258. https://doi.org/10.1007/s12671-012-0172-8
Salzberg, S. (2011). Mindfulness and loving-kindness. //Contemporary Buddhism, 12//(1), 177-182. https://doi.org/10.1080/14639947.2011.564837
Shonin, E., Van Gordon, W., Compare, A., Zangeneh, M., & Griffiths, M.D. (2015). Buddhist-derived loving-kindness and compassion meditation for the treatment of psychopathology: A systematic review. //Mindfulness, 6//(5), 1161-1180. https://doi.org/10.1007/s12671-014-0368-1
Trautwein, F.M., Naranjo, J.R., & Schmidt, S. (2016). Decentering the self? reduced bias in self- vs. other-related processing in long-term practitioners of loving-kindness meditation. //Frontiers in Psychology, 7//, 1785. https://doi.org/10.3389/fpsyg.2016.01785
Berkovich-Ohana, A., Dor-Ziderman, Y., Glicksohn, J., & Goldstein, A. (2013). Alterations in the sense of time, space, and body in the mindfulness-trained brain: A neurophenomenologically-guided MEG study. //Frontiers in Psychology, 4//,912. https://doi.org/10.3389/fpsyg.2013.00912
Dor-Ziderman, Y., Ataria, Y., Fulder, S., Goldstein, A., & Berkovich-Ohana, A. (2016). Self-specific processing in the meditating brain: A MEG neurophenomenology study. //Neuroscience of Consciousness//, 1,niw019. https://doi.org/10.1093/nc/niw019
Dor-Ziderman, Y., Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2013). Mindfulness-induced selflessness: A MEG neurophenomenological study. //Frontiers in Human Neuroscience, 7//,582. https://doi.org/10.3389/fnhum.2013.00582
Wong, W.P., Camfield, D.A., Woods, W., Sarris, J., & Pipingas, A. (2015). Spectral power and functional connectivity changes during mindfulness meditation with eyes open: A magnetoencephalography (MEG) study in long-term meditators. //International Journal of Psychophysiology, 98//(1), 95-111. https://doi.org/10.1016/j.ijpsycho.2015.07.006
Beblo, T., Fernando, S., Klocke, S., Griepenstroh, J., Aschenbrenner, S., & Driessen, M. (2012). Increased suppression of negative and positive emotions in major depression. //Journal of Affective Disorders, 141//(2-3), 474-479.
Blom, E.H., Duncan, L.G., Ho, T.C., Connolly, C.G., LeWinn, K.Z., Chesney, M., ... & Yang, T.T. (2014). The development of an RDoC-based treatment program for adolescent depression: “Training for Awareness, Resilience, and Action” (TARA). //Frontiers in Human Neuroscience, 8//, 630. https://doi.org/10.3389/fnhum.2014.00630
Hoffmann, F., Banzhaf, C., Kanske, P., Bermpohl, F., & Singer, T. (2016). Where the depressed mind wanders: Self-generated thought patterns as assessed through experience sampling as a state marker of depression. //Journal of Affective Disorders, 198//, 127-134. https://doi.org/10.1016/j.jad.2016.03.005
Lei, H., Zhang, X.C., Cai, L., Wang, Y.P., Bai, M., & Zhu, X.Z. (2014). Cognitive emotion regulation strategies in outpatients with major depressive disorder. //Psychiatry Research, 218//(42737), 87-92. https://doi.org/10.1016/j.psychres.2014.04.025
Parikh, S.V., Quilty, L.C., Ravitz, P., Rosenbluth, M., Pavlova, B., Grigoriadis, S., ... & Uher, R. (2016). Canadian network for mood and anxiety treatments (canmat) 2016 clinical guidelines for the management of adults with major depressive disorder: Section 2. psychological treatments. //Canadian Journal of Psychiatry, 61//(9), 524-539. https://doi.org/10.1177/0706743716659418
Parikh, S.V., Segal, Z.V., Grigoriadis, S., Ravindran, A.V., Kennedy, S.H., Lam, R.W., ... & Patten, S.B. (2009). Canadian network for mood and anxiety treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. II. Psychotherapy alone or in combination with antidepressant medication. //Journal of Affective Disorders, 117//, S15-S25. https://doi.org/10.1016/j.jad.2009.06.042
Diamond, A. (2012). Activities and programs that improve children's executive functions. //Current Directions in Psychological Science, 21//(5), 335-341. https://doi.org/10.1177/0963721412453722
Naves-Bittencourt, W., Mendonca-de-Sousa, A., Stults-Kolehmainen, M., Fontes, E., Cordova, C., Demarzo, M., ... & Boullosa, D. (2015). Martial arts: Mindful exercise to combat stress. //European Journal of Human Movement, 34//, 34-51. http://www.eurjhm.com/index.php/eurjhm/article/view/355
Lothes, J., Hakan, R., & Kasab, K. (2013). Aikido experience and its relation to mindfulness: A two-part study. //Perceptual and Motor Skills, 116//(1), 30-39. https://doi.org/10.2466/22.23.PMS.116.1.30-39
Lukoff, D., & Strozzi-Heckler, R. (2017). Aikido: A martial art with mindfulness, somatic, relational, and spiritual benefits for veterans. //Spirituality in Clinical Practice, 4//(2), 81-91. https://doi.org/10.1037/scp0000134
Hodge, R. (2016). Adapting a MOOC for research: Lessons learned from the first presentation of literature and mental health: Reading for wellbeing. //Journal of Interactive Media in Education, 2016//(1), 19. https://doi.org/10.5334/jime.428
Sitzman, K.L., Jensen, A., & Chan, S. (2016). Creating a global community of learners in nursing and beyond: Caring science, mindful practice MOOC. //Nursing Education Perspectives, 37//(5), 269-274. https://doi.org/10.1097/01.NEP.0000000000000062
Anglin, L.P., Pirson, M., & Langer, E. (2008). Mindful learning: A moderator of gender differences in mathematics performance. //Journal of Adult Development, 15//(42798), 132-139. https://doi.org/10.1007/s10804-008-9043-x
Bellinger, D.B., DeCaro, M.S., & Ralston, P.A.S. (2015). Mindfulness, anxiety, and high-stakes mathematics performance in the laboratory and classroom. //Consciousness and Cognition, 37//, 123-132. https://doi.org/10.1016/j.concog.2015.09.001
Brunye, T.T., Mahoney, C.R., Giles, G.E., Rapp, D.N., Taylor, H.A., & Kanarek, R.B. (2013). Learning to relax: Evaluating four brief interventions for overcoming the negative emotions accompanying math anxiety. //Learning and Individual Differences, 27//, 1-7. https://doi.org/10.1016/j.lindif.2013.06.008
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Felver, J.C., Myers, R.E., & Nugent, K. (2016). Effects of Samatha meditation on active academic engagement and math performance of students with attention deficit/hyperactivity disorder. //Mindfulness, 7//(1), 68-75. https://doi.org/10.1007/s12671-015-0424-5
van Vugt, M.K., & Jha, A.P. (2011). Investigating the impact of mindfulness meditation training on working memory: A mathematical modeling approach. //Cognitive Affective & Behavioral Neuroscience, 11//(3), 344-353. https://doi.org/10.3758/s13415-011-0048-8
Gorman, T.E., & Green, C.S. (2016). Short-term mindfulness intervention reduces the negative attentional effects associated with heavy media multitasking. //Scientific Reports, 6//, 24542. https://doi.org/10.1038/srep24542
Ie, A., Haller, C.S., Langer, E.J., & Courvoisier, D.S. (2012). Mindful multitasking: The relationship between mindful flexibility and media multitasking. //Computers in Human Behavior, 28//(4), 1526-1532. https://doi.org/10.1016/j.chb.2012.03.022
Ralph, B.C.W., Thomson, D.R., Cheyne, J.A., & Smilek, D. (2014). Media multitasking and failures of attention in everyday life. //Psychological Research, 78//(5), 661-669. https://doi.org/10.1007/s00426-013-0523-7
Ashworth, S., Mooney, P., & Tully, R. (2016). Adapted DBT programme for individuals with intellectual disabilities and problems managing emotions: Staff awareness training. //Advances in Mental Health and intellectual disabilities, 10//(3), 185-198. https://doi.org/10.1108/AMHID-12-2015-0053
Byron, G., Ziedonis, D.M., McGrath, C., Frazier, J.A., Dettrrijos, F., & Fulwiler, C. (2015). Implementation of mindfulness training for mental health staff: Organizational context and stakeholder perspectives. //Mindfulness, 6//(4), 861-872. https://doi.org/10.1007/s12671-014-0330-2
Eliassen, B.K., Sorlie, T., Sexton, J., & Hoifodt, T.S. (2016). The effect of training in mindfulness and affect consciousness on the therapeutic environment for patients with psychoses: An explorative intervention study. //Scandinavian Journal of Caring Sciences, 30//(2), 391-402. https://doi.org/10.1111/scs.12261
Moorhead, C., Winfield, J., & Freeston, M.H. (2016). Becoming a more mindful practitioner: The effectiveness of a mindfulness-based CBT course in meeting training needs for clinical staff in adult mental health urgent care services. //Cognitive Behaviour Therapist, 9//, e4. https://doi.org/10.1017/S1754470X15000744
Morera, T., Bucci, S., Randal, C., Barrett, M., & Pratt, D. (2017). Exploring views about mindfulness groups for voice-hearing from the perspective of service users and staff: A Q-methodology study. //Psychotherapy Research, 27//(2), 179-188. https://doi.org/10.1080/10503307.2015.1085657
Noone, S.J., & Hastings, R.P. (2011). Values and psychological acceptance as correlates of burnout in support staff working with adults with intellectual disabilities. //Journal of Mental Health research in intellectual disabilities, 4//(2), 79-89. https://doi.org/10.1080/19315864.2011.582230
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Myers, R.E., Winton, A.S.W., Latham, L.L., ... & Nugent, K. (2015). Effects of training staff in MBPBS on the use of physical restraints, staff stress and turnover, staff and peer injuries, and cost effectiveness in developmental disabilities. //Mindfulness, 6//(4), 926-937. https://doi.org/10.1007/s12671-014-0369-0
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Curtis, W.J., Wahler, R.G., Sabaawi, M., ... & McAleavey, K. (2006). Mindful staff increase learning and reduce aggression in adults with developmental disabilities. //Research in Developmental Disabilities, 27//(5), 545-558. https://doi.org/10.1016/j.ridd.2005.07.002
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2009). Mindful staff can reduce the use of physical restraints when providing care to individuals with intellectual disabilities. //Journal of Applied Research in Intellectual Disabilities, 22//(2), 194-202. https://doi.org/10.1111/j.1468-3148.2008.00488.x
Carciofo, R., Song, N., Du, F., Wang, M.M., & Zhang, K. (2017). Metacognitive beliefs mediate the relationship between mind wandering and negative affect. //Personality and Individual Differences, 107//, 78-87. https://doi.org/10.1016/j.paid.2016.11.033
Kahan, T.L., & Sullivan, K.T. (2012). Assessing metacognitive skills in waking and sleep: A psychometric analysis of the Metacognitive, Affective, Cognitive Experience (MACE) questionnaire. //Consciousness and Cognition, 21//(1), 340-352. https://doi.org/10.1016/j.concog.2011.11.005
Linares, L., Jauregui, P., Herrero-Fernandez, D., & Estevez, A. (2016). Mediating role of mindfulness as a trait between attachment styles and depressive symptoms. //Journal of Psychology, 150//(7), 881-896. https://doi.org/10.1080/00223980.2016.1207591
Lush, P., Naish, P., & Dienes, Z. (2016). Metacognition of intentions in mindfulness and hypnosis. //Neuroscience of Consciousness, 2016//(1), niw007. https://doi.org/10.1093/nc/niw007
McEvoy, P.M., Graville, R., Hayes, S., Kane, R.T., & Foster, J.K. (2017). Mechanisms of change during attention training and mindfulness in high trait-anxious individuals: A randomized controlled study. //Behavior Therapy, 48//(5), 678-694. https://doi.org/10.1016/j.beth.2017.04.001
Murakami, H., Matsunaga, M., & Ohira, H. (2009). Association of serotonin transporter gene polymorphism and emotion regulation. //NeuroReport, 20//(4), 414-418. https://doi.org/10.1097/WNR.0b013e328325a910
Murphy, E.K., Tully, S., Pyle, M., Gumley, A.I., Kingdon, D., Schwannauer, M., ... & Morrison, A.P. (2017). The beliefs about paranoia scale: Confirmatory factor analysis and tests of a metacognitive model of paranoia in a clinical sample. //Psychiatry Research, 248//, 87-94. https://doi.org/10.1016/j.psychres.2016.11.012
Norman, E. (2017). Metacognition and mindfulness: The role of fringe consciousness. //Mindfulness, 8//(1), 95-100. https://doi.org/10.1007/s12671-016-0494-z
Ong, J.C., Ulmer, C.S., & Manber, R. (2012). Improving sleep with mindfulness and acceptance: A metacognitive model of insomnia. //Behaviour Research and Therapy, 50//(11), 651-660. https://doi.org/10.1016/j.brat.2012.08.001
Palagini, L., Ong, J.C., & Riemann, D. (2017). The mediating role of sleep-related metacognitive processes in trait and pre-sleep state hyperarousal in insomnia disorder. //Journal of Psychosomatic Research, 99//, 59-65. https://doi.org/10.1016/j.jpsychores.2017.03.001
Solem, S., Hagen, R., Wang, C.E.A., Hjemdal, O., Waterloo, K., Eisemann, M., ... & Halvorsen, M. (2017). Metacognitions and mindful attention awareness in depression: A comparison of currently depressed, previously depressed and never depressed individuals. //Clinical Psychology & Psychotherapy, 24//(1), 94-102. https://doi.org/10.1002/cpp.1983
Teasdale, J.D. (1999). Metacognition, mindfulness and the modification of mood disorders. //Clinical Psychology & Psychotherapy, 6//(2), 146-155. https://doi.org/10.1002/(SICI)1099-0879(199905)6:2%3C146::AID-CPP195%3E3.0.CO;2-E
Teasdale, J.D., Moore, R.G., Hayhurst, H., Pope, M., Williams, S., & Segal, Z.V. (2002). Metacognitive awareness and prevention of relapse in depression: Empirical evidence. //Journal of Consulting and Clinical Psychology, 70//(2), 275-287. https://doi.org/10.1037//0022-006X.70.2.275
Wells, A. (2002). Gad, metacognition, and mindfulness: An information processing analysis. //Clinical Psychology-science and Practice, 9//(1), 95-100. https://doi.org/10.1093/clipsy/9.1.95
Bertisch, S.M., Wee, C.C., Phillips, R.S., & McCarthy, E.P. (2009). Alternative mind-body therapies used by adults with medical conditions. //Journal of Psychosomatic Research, 66//(6), 511-519. https://doi.org/10.1016/j.jpsychores.2008.12.003
Blom, R., & Lu, C.L. (2016). Contextualising Postmodernity in Daoist Symbolism: Toward a mindful education embracing eastern wisdom. //Educational Philosophy and Theory, 48//(12), 1266-1283. https://doi.org/10.1080/00131857.2016.1190266
Crescentini, C., Urgesi, C., Fabbro, F., & Eleopra, R. (2014). Cognitive and brain reserve for mind-body therapeutic approaches in multiple sclerosis: A review. //Restorative Neurology and Neuroscience, 32//(5), 575-595. https://doi.org/10.3233/RNN-130364
Del Rosso, A., & Maddali-Bongi, S. (2016). Mind body therapies in rehabilitation of patients with rheumatic diseases. //Complementary Therapies in Clinical Practice, 22//, 80-86. https://doi.org/10.1016/j.ctcp.2015.12.005
Jang, J.H., Park, H.Y., Lee, U.S., Lee, K.J., & Kang, D.H. (2017). Effects of mind-body training on cytokines and their interactions with catecholamines. //Psychiatry Investigation, 14//(4), 483-490. https://doi.org/10.4306/pi.2017.14.4.483
Jung, Y.H., Ha, T.M., Oh, C.Y., Lee, U.S., Jang, J.H., Kim, J., ... & Kang, D.H. (2016). The effects of an online mind-body training program on stress, coping strategies, emotional intelligence, resilience and psychological state. //PLOS ONE, 11//(8). https://doi.org/10.1371/journal.pone.0159841
Banks, J.B., Welhaf, M.S., Hood, A.V.B., Boals, A., & Tartar, J.L. (2016). Examining the role of emotional valence of mind wandering: All mind wandering is not equal. //Consciousness and Cognition, 43//, 167-176. https://doi.org/10.1016/j.concog.2016.06.003
Fountain-Zaragoza, S., Londeree, A., Whitmoyer, P., & Prakash, R.S. (2016). Dispositional mindfulness and the wandering mind: Implications for attentional control in older adults. //Consciousness and Cognition, 44//, 193-204. https://doi.org/10.1016/j.concog.2016.08.003
Frank, D.J., Nara, B., Zavagnin, M., Touron, D.R., & Kane, M.J. (2015). Validating older adults' reports of less mind-wandering: An examination of eye movements and dispositional influences. //Psychology and Aging, 30//(2), 266-278. https://doi.org/10.1037/pag0000031
Gontier, C. (2017). How to prevent mind-wandering during an EVA ? presentation of a mind-wandering detection method using ECG technology in a Mars-analog environment. //Acta Astronautica, 140//, 105-112. https://doi.org/10.1016/j.actaastro.2017.08.008
Luo, Y.M., Zhu, R.J., Ju, E.X., & You, X.Q. (2016). Validation of the Chinese version of the Mind-Wandering Questionnaire (MWQ) and the mediating role of self-esteem in the relationship between mind-wandering and life satisfaction for adolescents. //Personality and Individual Differences, 92//, 118-122. https://doi.org/10.1016/j.paid.2015.12.028
Mason, M.F., Brown, K., Mar, R.A., & Smallwood, J. (2013). Driver of discontent or escape vehicle: The affective consequences of mindwandering. //Frontiers in Psychology, 4//,477. https://doi.org/10.3389/fpsyg.2013.00477
Mooneyham, B.W., Mrazek, M.D., Mrazek, A.J., Mrazek, K.L., Phillips, D.T., & Schooler, J.W. (2017). States of mind: Characterizing the neural bases of focus and mind-wandering through dynamic functional connectivity. //Journal of Cognitive Neuroscience, 29//(3), 495-506. https://doi.org/10.1162/jocn_a_01066
Mrazek, M.D., Phillips, D.T., Franklin, M.S., Broadway, J.M., & Schooler, J.W. (2013). Young and restless: Validation of the Mind-Wandering Questionnaire (MWQ) reveals disruptive impact of mind-wandering for youth. //Frontiers in Psychology, 4//,560. https://doi.org/10.3389/fpsyg.2013.00560
Mrazek, M.D., Smallwood, J., & Schooler, J.W. (2012). Mindfulness and mind-wandering: Finding convergence through opposing constructs. //Emotion, 12//(3), 442-448. https://doi.org/10.1037/a0026678
Rummel, J., & Nied, L. (2017). Do drives drive the train of thought? Effects of hunger and sexual arousal on mind-wandering behavior. //Consciousness and Cognition, 55//, 179-187. https://doi.org/10.1016/j.concog.2017.08.013
Salavera, C., Urcola-Pardo, F., Usan, P., & Jarie, L. (2017). Translation and validation of the Mind-Wandering Test for Spanish adolescents. //Psicologia: Reflexão e CríticaPsychology Psychology: Research and Review, 30:12//. https://doi.org/10.1186/s41155-017-0066-8
Scheibner, H.J., Spengler, S., Kanske, P., Roepke, S., & Bermpohl, F. (2016). Behavioral assessment of mindfulness difficulties in borderline personality disorder. //Mindfulness, 7//(6), 1316-1326. https://doi.org/10.1007/s12671-016-0572-2
Schooler, J.W., Mrazek, M.D., Franklin, M.S., Baird, B., Mooneyham, B.W., Zedelius, C., ... & Broadway, J.M. (2014). The middle way: Finding the balance between mindfulness and mind-wandering. //Psychology of Learning and Motivation, Vol 60, 60//, 1-33. https://doi.org/10.1016/B978-0-12-800090-8.00001-9
Smallwood, J., O'Connor, R.C., Sudbery, M.V., & Obonsawin, M. (2007). Mind-wandering and dysphoria. //Cognition & Emotion, 21//(4), 816-842. https://doi.org/10.1080/02699930600911531
Vess, M., Leal, S.A., Hoeldtke, R.T., Schlegel, R.J., & Hicks, J.A. (2016). True self-alienation positively predicts reports of mindwandering. //Consciousness and Cognition, 45//, 89-99. https://doi.org/10.1016/j.concog.2016.08.018
Banks, J.B., Welhaf, M.S., Hood, A.V.B., Boals, A., & Tartar, J.L. (2016). Examining the role of emotional valence of mind wandering: All mind wandering is not equal. //Consciousness and Cognition, 43//, 167-176. https://doi.org/10.1016/j.concog.2016.06.003
Bixler, R., & D'Mello, S. (2016). Automatic gaze-based user-independent detection of mind wandering during computerized reading. //User Modeling and User-adapted Interaction, 26//(1), 33-68. https://doi.org/10.1007/s11257-015-9167-1
Burdett, B.R.D., Charlton, S.G., & Starkey, N.J. (2016). Not all minds wander equally: The influence of traits, states and road environment factors on self-reported mind wandering during everyday driving. //Accident Analysis and Prevention, 95//, 1-7. https://doi.org/10.1016/j.aap.2016.06.012
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Chronotype and time-of-day correlates of mind wandering and related phenomena. //Biological Rhythm Research, 45//(1), 37-49. https://doi.org/10.1080/09291016.2013.790651
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Mind wandering, sleep quality, affect and chronotype: An exploratory study. //PLOS ONE, 9//(3). https://doi.org/10.1371/journal.pone.0091285
Carciofo, R., Song, N., Du, F., Wang, M.M., & Zhang, K. (2017). Metacognitive beliefs mediate the relationship between mind wandering and negative affect. //Personality and Individual Differences, 107//, 78-87. https://doi.org/10.1016/j.paid.2016.11.033
Deng, Y.Q., Li, S., & Tang, Y.Y. (2014). The relationship between wandering mind, depression and mindfulness. //Mindfulness, 5//(2), 124-128. https://doi.org/10.1007/s12671-012-0157-7
Ellamil, M., Fox, K.C.R., Dixon, M.L., Pritchard, S., Todd, R.M., Thompson, E., ... & Christoff, K. (2016). Dynamics of neural recruitment surrounding the spontaneous arising of thoughts in experienced mindfulness practitioners. //Neuroimage, 136//, 186-196. https://doi.org/10.1016/j.neuroimage.2016.04.034
Fanning, J., Mackenzie, M., Roberts, S., Crato, I., Ehlers, D., & McAuley, E. (2016). Physical activity, mind wandering, affect, and sleep: An ecological momentary assessment. //JMIR mHealth and uHealth, 4//(3). https://doi.org/10.2196/mhealth.5855
Hasenkamp, W., Wilson-Mendenhall, C.D., Duncan, E., & Barsalou, L.W. (2012). Mind wandering and attention during focused meditation: A fine-grained temporal analysis of fluctuating cognitive states. //Neuroimage, 59//(1), 750-760. https://doi.org/10.1016/j.neuroimage.2011.07.008
Hoffmann, F., Banzhaf, C., Kanske, P., Bermpohl, F., & Singer, T. (2016). Where the depressed mind wanders: Self-generated thought patterns as assessed through experience sampling as a state marker of depression. //Journal of Affective Disorders, 198//, 127-134. https://doi.org/10.1016/j.jad.2016.03.005
Jazaieri, H., Lee, I.A., McGonigal, K., Jinpa, T., Doty, J.R., Gross, J.J., ... & Goldin, P.R. (2016). A wandering mind is a less caring mind: Daily experience sampling during compassion meditation training. //Journal of Positive Psychology, 11//(1), 37-50. https://doi.org/10.1080/17439760.2015.1025418
Jonkman, L.M., Markus, C.R., Franklin, M.S., & van Dalfsen, J.H. (2017). Mind wandering during attention performance: Effects of ADHD-inattention symptomatology, negative mood, ruminative response style and working memory capacity. //PLOS ONE, 12//(7). https://doi.org/10.1371/journal.pone.0181213
Ju, Y.J., & Lien, Y.W. (2016). Better control with less effort: The advantage of using focused-breathing strategy over focused-distraction strategy on thought suppression. //Consciousness and Cognition, 40//, 9-16. https://doi.org/10.1016/j.concog.2015.12.002
Konjedi, S., & Maleeh, R. (2017). A closer look at the relationship between the default network, mind wandering, negative mood, and depression. //Cognitive Affective & Behavioral Neuroscience, 17//(4), 697-711. https://doi.org/10.3758/s13415-017-0506-z
Kuehner, C., Welz, A., Reinhard, I., & Alpers, G.W. (2017). Lab meets real life: A laboratory assessment of spontaneous thought and its ecological validity. //PLOS ONE, 12//(9). https://doi.org/10.1371/journal.pone.0184488
Marchetti, I., Van de Putte, E., & Koster, E.H.W. (2014). Self-generated thoughts and depression: From daydreaming to depressive symptoms. //Frontiers in Human Neuroscience, 8//, 131. https://doi.org/10.3389/fnhum.2014.00131
Ottaviani, C., & Couyoumdjian, A. (2013). Pros and cons of a wandering mind: A prospective study. //Frontiers in Psychology, 4//, 524. https://doi.org/10.3389/fpsyg.2013.00524
Rahl, H.A., Lindsay, E.K., Pacilio, L.E., Brown, K.W., & Creswell, J.D. (2017). Brief mindfulness meditation training reduces mind wandering: The critical role of acceptance. //Emotion, 17//(2), 224-230. https://doi.org/10.1037/emo0000250
Ralph, B.C.W., Wammes, J.D., Barr, N., & Smilek, D. (2017). Wandering minds and wavering goals: Examining the relation between mind wandering and grit in everyday life and the classroom. //Canadian Journal of Experimental Psychology-revue Canadienne De Psychologie Experimentale, 71//(2), 120-132. https://doi.org/10.1037/cep0000116
Seli, P., Carriere, J.S.A., & Smilek, D. (2015). Not all mind wandering is created equal: Dissociating deliberate from spontaneous mind wandering. //Psychological Research-psychologische Forschung, 79//(5), 750-758. https://doi.org/10.1007/s00426-014-0617-x
Seli, P., Risko, E.F., & Smilek, D. (2016). Assessing the associations among trait and state levels of deliberate and spontaneous mind wandering. //Consciousness and Cognition, 41//, 50-56. https://doi.org/10.1016/j.concog.2016.02.002
Smallwood, J., & Schooler, J.W. (2006). The restless mind. //Psychological Bulletin, 132//(6), 946-958. https://doi.org/10.1037/0033-2909.132.6.946
Smallwood, J., Mrazek, M.D., & Schooler, J.W. (2011). Medicine for the wandering mind: Mind wandering in medical practice. //Medical Education, 45//(11), 1072-1080. https://doi.org/10.1111/j.1365-2923.2011.04074.x
Vago, D.R., & Zeidan, F. (2016). The brain on silent: Mind wandering, mindful awareness, and states of mental tranquility. //Special issue: Advances in meditation research, 1373//, 96-113. https://doi.org/10.1111/nyas.13171
Watkins, E., & Baracaia, S. (2002). Rumination and social problem-solving in depression. //Behaviour Research and Therapy, 40//(10), 1179-1189. https://doi.org/10.1016/S0005-7967(01)00098-5
Xu, M., Purdon, C., Seli, P., & Smilek, D. (2017). Mindfulness and mind wandering: The protective effects of brief meditation in anxious individuals. //Consciousness and Cognition, 51//, 157-165. https://doi.org/10.1016/j.concog.2017.03.009
Zedelius, C.M., & Schooler, J.W. (2015). Mind wandering “Ahas” versus mindful reasoning: alternative routes to creative solutions //Frontiers in Psychology, 6//,0834. https://doi.org/10.3389/fpsyg.2015.00834
Zedelius, C.M., & Schooler, J.W. (2016). The richness of inner experience: Relating styles of daydreaming to creative processes. //Frontiers in Psychology, 6//, 2063. https://doi.org/10.3389/fpsyg.2015.02063
Black, D.S., Sussman, S., Johnson, C.A., & Milam, J. (2012). Psychometric assessment of the Mindful Attention Awareness Scale (MAAS) among Chinese adolescents. //Assessment, 19//(1), 42-52. https://doi.org/10.1177/1073191111415365
Carlson, L.E., & Brown, K.W. (2005). Validation of the Mindful Attention Awareness Scale in a cancer population. //Journal of Psychosomatic Research, 58//(1), 29-33. https://doi.org/10.1016/j.jpschores.2004.04.366
Catak, P.D. (2012). The Turkish version of Mindful Attention Awareness Scale: Preliminary findings. //Mindfulness, 3//(1), 1-9. https://doi.org/10.1007/s12671-011-0072-3
Cebolla, A., Luciano, J.V., DeMarzo, M.P., Navarro-Gil, M., & Campayo, J.G. (2013). Psychometric properties of the Spanish version of the Mindful Attention Awareness Scale (MAAS) in patients with fibromyalgia. //Health and Quality of Life Outcomes, 11//. https://doi.org/10.1186/1477-7525-11-6
Chiesi, F., Dellagiulia, A., Lionetti, F., Bianchi, G., & Primi, C. (2017). Using item response theory to explore the psychometric properties of the Italian Version of the Child and Adolescent Mindfulness Measure (CAMM). //Mindfulness, 8//(2), 351-360. https://doi.org/10.1007/s12671-016-0604-y
Chiesi, F., Donati, M.A., Panno, A., Giacomantonio, M., & Primi, C. (2017). What about the different shortened versions of the Mindful Attention Awareness Scale?. //Psychological Reports, 120//(5), 966-990. https://doi.org/10.1177/0033294117711132
Christopher, M.S., Charoensuk, S., Gilbert, B.D., Neary, T.J., & Pearce, K.L. (2009). Mindfulness in Thailand and the united states: A case of apples versus oranges?. //Journal of Clinical Psychology, 65//(6), 590-612. https://doi.org/10.1002/jclp.20580
Cikajlo, I., Staba, U.C., Vrhovac, S., Larkin, F., & Roddy, M. (2017). A cloud-based virtual reality app for a novel telemindfulness service: Rationale, design and feasibility evaluation. //JMIR Research Protocols, 6//(6). https://doi.org/10.2196/resprot.6849
Collins, T., Lambert, L., Helms, C.D., & Minichiello, V.M. (2017). Use of mindful observer to extend simulation learning experience. //Nursing Education Perspectives, 38//(2), 98-99. https://doi.org/10.1097/01.NEP.0000000000000087
Cordon, S.L., & Finney, S.J. (2008). Measurement invariance of the Mindful Attention Awareness Scale across adult attachment style. //Measurement and Evaluation in Counseling and Development, 40//(4), 228-245. https://doi.org/10.1080/07481756.2008.11909817
Costa, J.A., Maroco, J., & Pinto-Gouveia, J. (2017). Validation of the psychometric properties of cognitive fusion questionnaire. a study of the factorial validity and factorial invariance of the measure among osteoarticular disease, diabetes mellitus, obesity, depressive disorder, and general populations. //Clinical Psychology & Psychotherapy, 24//(5), 1121-1129. https://doi.org/10.1002/cpp.2077
de Barros, V.V., Kozasa, E.H., de Souza, I.C.W., & Ronzani, T.M. (2015). Validity evidence of the Brazilian version of the Mindful Attention Awareness Scale (MAAS). //Psicologia: reflexao E Critica, 28//(1), 87-95. https://doi.org/10.1590/1678-7153.201528110
Deng, Y.Q., Li, S., Tang, Y.Y., Zhu, L.H., Ryan, R., & Brown, K. (2012). Psychometric properties of the Chinese translation of the Mindful Attention Awareness Scale (MAAS). //Mindfulness, 3//(1), 10-14. https://doi.org/10.1007/s12671-011-0074-1
Dubert, C.J., Schumacher, A.M., Locker, L., Gutierrez, A.P., & Barnes, V.A. (2016). Mindfulness and emotion regulation among nursing students: Investigating the mediation effect of working memory capacity. //Mindfulness, 7//(5), 1061-1070. https://doi.org/10.1007/s12671-016-0544-6
Fiol, C.M., & O'Connor, E.J. (2003). Waking up! mindfulness in the face of bandwagons. //Academy of Management Review, 28//(1), 54-70. https://doi.org/10.5465/amr.2003.8925227
Frigotto, M.L., & Zamarian, M. (2015). Mindful by routine: Evidence from the Italian air force tornado crews flying practices. //Journal of Management & organization, 21//(3), 321-335. https://doi.org/10.1017/jmo.2014.85
Galiana, L., Oliver, A., Sanso, N., Sancerni, M.D., & Tomas, J.M. (2017). Mindful attention awareness in Spanish palliative care professionals: Psychometric study with IRT and CFA models. //European Journal of Psychological Assessment, 33//(1), 14-21. https://doi.org/10.1027/1015-5759/a000265
Garcia-Magarino, I., & Plaza, I. (2017). ABS-MindHeart: An agent based simulator of the influence of mindfulness programs on heart rate variability. //Journal of Computational Science, 19//, 11-20. https://doi.org/10.1016/j.jocs.2016.12.011
Garcia-Magarino, I., & Plaza, I. (2017). ABSEM: An agent-based simulator of emotions in mindfulness. programs. //Expert Systems With Applications, 84//, 49-57. https://doi.org/10.1016/j.eswa.2017.05.011
Giovannini, C., Giromini, L., Bonalume, L., Tagini, A., Lang, M., & Amadei, G. (2014). The Italian Five Facet Mindfulness Questionnaire: A contribution to its validity and reliability. //Journal of Psychopathology and Behavioral Assessment, 36//(3), 415-423. https://doi.org/10.1007/s10862-013-9403-0
Gregorio, S., & Pinto-Gouveia, J. (2013). Mindful attention and awareness: Relationships with psychopathology and emotion regulation. //Spanish Journal of Psychology, 16//. https://doi.org/10.1017/sjp.2013.79
Hauswald, A., Ubelacker, T., Leske, S., & Weisz, N. (2015). What it means to be Zen: Marked modulations of local and interareal synchronization during open monitoring meditation. //Neuroimage, 108//, 265-273. https://doi.org/10.1016/j.neuroimage.2014.12.065
Hofling, V., Moosbrugger, H., Schermelleh-Engel, K., & Heidenreich, T. (2011). Mindfulness or mindlessness? A modified version of the Mindful Attention and Awareness Scale (MAAS). //European Journal of Psychological Assessment, 27//(1), 59-64. https://doi.org/10.1027/1015-5759/a000045
Islam, M.A., & Siddique, S. (2016). Validation of the Bangla Mindful Attention Awareness Scale. //Asian Journal of Psychiatry, 24//, 10-16. https://doi.org/10.1016/j.ajp.2016.08.011
Jensen, C.G., Niclasen, J., Vangkilde, S.A., Petersen, A., & Hasselbalch, S.G. (2016). General inattentiveness is a long-term reliable trait independently predictive of psychological health: Danish validation studies of the Mindful Attention Awareness Scale. //Psychological Assessment, 28//(5), E70-E87. https://doi.org/10.1037/pas0000196
Jermann, F., Billieux, J., Laroi, F., d'Argembeau, A., Bondolfi, G., Zermatten, A., ... & Van der Linden, M. (2009). Mindful Attention Awareness Scale (MAAS): Psychometric properties of the french translation and exploration of its relations with emotion regulation strategies. //Psychological Assessment, 21//(4), 506-514. https://doi.org/10.1037/a0017032
Johnson, C.J., Wiebe, J.S., & Morera, O.F. (2014). The Spanish version of the Mindful Attention Awareness Scale (MAAS): Measurement invariance and psychometric properties. //Mindfulness, 5//(5), 552-565. https://doi.org/10.1007/s12671-013-0210-1
Karekla, M., & Michaelides, M.P. (2017). Validation and invariance testing of the Greek adaptation of the Acceptance and Action Questionnaire -II across clinical vs. nonclinical samples and sexes. //Journal of Contextual Behavioral Science, 6//(1), 119-124. https://doi.org/10.1016/j.jcbs.2016.11.006
Keith, J.R., Blackwood, M.E., Mathew, R.T., & Lecci, L.B. (2017). Self-reported mindful attention and awareness, go/no-go response-time variability, and attention-deficit hyperactivity disorder. //Mindfulness, 8//(3), 765-774. https://doi.org/10.1007/s12671-016-0655-0
Kiep, M., Spek, A.A., & Hoeben, L. (2015). Mindfulness-based therapy in adults with an autism spectrum disorder: Do treatment effects last?. //Mindfulness, 6//(3), 637-644. https://doi.org/10.1007/s12671-014-0299-x
Kotze, M., & Nel, P. (2016). The psychometric properties of the Mindful Attention Awareness Scale (MAAS) and Freiburg mindfulness inventory (FMI) as measures of mindfulness and their relationship with burnout and work engagement. //SA Journal of Industrial Psychology, 42//(1). a1366 https://doi.org/10.4102/sajip.v42i1.1366
Loucks, E.B., Britton, W.B., Howe, C.J., Gutman, R., Gilman, S.E., Brewer, J., ... & Buka, S.L. (2016). Associations of dispositional mindfulness with obesity and central adiposity: The new England family study. //International Journal of Behavioral Medicine, 23//(2), 224-233. https://doi.org/10.1007/s12529-015-9513-z
MacKillop, J., & Anderson, E.J. (2007). Further psychometric validation of the Mindful Attention Awareness Scale (MAAS). //Journal of Psychopathology and Behavioral Assessment, 29//(4), 289-293. https://doi.org/10.1007/s10862-007-9045-1
Medvedev, O.N., Siegert, R.J., Feng, X.J., Billington, D.R., Jang, J.Y., & Krageloh, C.U. (2016). Measuring trait mindfulness: How to improve the precision of the Mindful Attention Awareness Scale using a Rasch model. //Mindfulness, 7//(2), 384-395. https://doi.org/10.1007/s12671-015-0454-z
Morgan, J.R., Masuda, A., & Anderson, P.L. (2014). A preliminary analysis of the psychometric properties of the Mindful Attention Awareness Scale among African american college students. //Mindfulness, 5//(6), 639-645. https://doi.org/10.1007/s12671-013-0216-8
Osman, A., Lamis, D.A., Bagge, C.L., Freedenthal, S., & Barnes, S.M. (2016). The Mindful Attention Awareness Scale: Further examination of dimensionality, reliability, and concurrent validity estimates. //Journal of Personality assessment, 98//(2), 189-199. https://doi.org/10.1080/00223891.2015.1095761
Palmeira, L., Cunha, M., Pinto-Gouveia, J., Carvalho, S., & Lillis, J. (2016). New developments in the assessment of weight-related experiential avoidance (AAQW-Revised). //Journal of Contextual Behavioral Science, 5//(3), 193-200. https://doi.org/10.1016/j.jcbs.2016.06.001
Phang, C.K., Mukhtar, F., Ibrahim, N., & Sidik, S.M. (2016). Mindful Attention Awareness Scale (MAAS): Factorial validity and psychometric properties in a sample of medical students in Malaysia. //Journal of Mental Health training education and practice, 11//(5), 305-316. https://doi.org/10.1108/JMHTEP-02-2015-0011
Saggino, A., Bartoccini, A., Sergi, M.R., Romanelli, R., Macchia, A., & Tommasi, M. (2017). Assessing mindfulness on samples of Italian children and adolescents: The validation of the Italian version of the child and adolescent mindfulness measure. //Mindfulness, 8//(5), 1364-1372. https://doi.org/10.1007/s12671-017-0712-3
Schmertz, S.K., Anderson, P.L., & Robins, D.L. (2009). The relation between self-report mindfulness and performance on tasks of sustained attention. //Journal of Psychopathology and Behavioral Assessment, 31//(1), 60-66. https://doi.org/10.1007/s10862-008-9086-0
Seema, R., Quaglia, J.T., Brown, K.W., Sircova, A., Konstabel, K., & Baltin, A. (2015). The Estonian Mindful Attention Awareness Scale: Assessing mindfulness without a distinct linguistic present tense. //Mindfulness, 6//(4), 759-766. https://doi.org/10.1007/s12671-014-0314-2
Shin, H.S., Black, D.S., Shonkoff, E.T., Riggs, N.R., & Pentz, M.A. (2016). Associations among dispositional mindfulness, self-compassion, and executive function proficiency in early adolescents. //Mindfulness, 7//(6), 1377-1384. https://doi.org/10.1007/s12671-016-0579-8
Smith, O.R.F., Melkevik, O., Samdal, O., Larsen, T.M., & Haug, E. (2017). Psychometric properties of the five-item version of the mindful awareness attention scale (MASS) in Norwegian adolescents. //Scandinavian Journal of Public Health, 45//(4), 373-380. https://doi.org/10.1177/1403494817699321
Soler, J., Tejedor, R., Feliu-Soler, A., Pascual, J.C., Cebolla, A., Soriano, J., ... & Perez, V. (2012). Psychometric properties of Spanish version of Mindful Attention Awareness Scale (MAAS). //Actas Espanolas De Psiquiatria, 40//(1), 19-26. https://doi.org/10.1007/s12671-013-0210-1
van Vugt, M.K., & Jha, A.P. (2011). Investigating the impact of mindfulness meditation training on working memory: A mathematical modeling approach. //Cognitive Affective & Behavioral Neuroscience, 11//(3), 344-353. https://doi.org/10.3758/s13415-011-0048-8
Veneziani, C.A., & Voci, A. (2015). The Italian adaptation of the Cognitive and Affective Mindfulness Scale-revised. //TPM - Testing, Psychometrics, Methodology in Applied Psychology, 22//(1), 43-52. https://doi.org/10.4473/TPM22.1.4
Veneziani, C.A., & Voci, A. (2015). The Italian adaptation of the mindful awareness attention scale and its relation with individual differences and quality of life indexes. //Mindfulness, 6//(2), 373-381. https://doi.org/10.1007/s12671-013-0270-2
Mindfulness Topic Modeling
Abolghasemi, A., Gholami, H., Narimani, M., & Gamji, M. (2015). The effect of beck ' s cognitive therapy and mindfulness-based cognitive therapy on sociotropic and autonomous personality styles in patients with depression. //Iranian Journal of Psychiatry and Behavioral Sciences, 9//(4). https://doi.org/10.17795/ijpbs-3665
Allen, M., Bromley, A., Kuyken, W., & Sonnenberg, S.J. (2009). Participants' experiences of mindfulness-based cognitive therapy: "it changed me in just about every way possible". //Behavioural and Cognitive Psychotherapy, 37//(4), 413-430. https://doi.org/10.1017/S135246580999004X
Ames, C.S., Richardson, J., Payne, S., Smith, P., & Leigh, E. (2014). Innovations in practice: Mindfulness-based cognitive therapy for depression in adolescents. //Child and Adolescent Mental Health, 19//(1), 74-78. https://doi.org/10.1111/camh.12034
Armstrong, L., & Rimes, K.A. (2016). Mindfulness-based cognitive therapy for neuroticism (stress vulnerability): A pilot randomized study. //Behavior Therapy, 47//(3), 287-298. https://doi.org/10.1016/j.beth.2015.12.005
Asl, N.H., & Barahmand, U. (2014). Effectiveness of mindfulness-based cognitive therapy for co-morbid depression in drug-dependent males. //Archives of Psychiatric Nursing, 28//(5), 314-318. https://doi.org/10.1016/j.apnu.2014.05.003
Bailie, C., Kuyken, W., & Sonnenberg, S. (2012). The experiences of parents in mindfulness-based cognitive therapy. //Clinical Child Psychology and Psychiatry, 17//(1), 103-119. https://doi.org/10.1177/1359104510392296
Bakker, J.M., Lieverse, R., Menne-Lothmann, C., Viechtbauer, W., Pishva, E., Kenis, G., ... & Wichers, M. (2014). Therapygenetics in mindfulness-based cognitive therapy: Do genes have an impact on therapy-induced change in real-life positive affective experiences?. //Translational Psychiatry, 4//e384. https://doi.org/10.1038/tp.2014.23
Barnhofer, T., Crane, C., Hargus, E., Amarasinghe, M., Winder, R., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy as a treatment for chronic depression: A preliminary study. //Behaviour Research and Therapy, 47//(5), 366-373. https://doi.org/10.1016/j.brat.2009.01.019
Barnhofer, T., Duggan, D., Crane, C., Hepburn, S., Fennell, M.J.V., & Williams, J.M.G. (2007). Effects of meditation on frontal alpha-asymmetry in previously suicidal individuals. //NeuroReport, 18//(7), 709-712. https://doi.org/10.1097/WNR.0b013e3280d943cd
Batink, T., Peeters, F., Geschwind, N., van Os, J., & Wichers, M. (2013). How does MBCT for depression work? studying cognitive and affective mediation pathways. //PLOS ONE, 8//(8). https://doi.org/10.1371/journal.pone.0072778
Bieling, P.J., Hawley, L.L., Bloch, R.T., Corcoran, K.M., Levitan, R.D., Young, L.T., ... & Segal, Z.V. (2012). Treatment-specific changes in decentering following mindfulness-based cognitive therapy versus antidepressant medication or placebo for prevention of depressive relapse. //Journal of Consulting and Clinical Psychology, 80//(3), 365-372. https://doi.org/10.1037/a0027483
Boggs, J.M., Beck, A., Felder, J.N., Dimidjian, S., Metcalf, C.A., & Segal, Z.V. (2014). Web-based intervention in mindfulness meditation for reducing residual depressive symptoms and relapse prophylaxis: A qualitative study. //Journal of Medical Internet Research, 16//(3), 332-343. https://doi.org/10.2196/jmir.3129
Bondolfi, G., Jermann, F., Van der Linden, M., Gex-Fabry, M., Bizzini, L., Rouget, B.W., ... & Bertschy, G. (2010). Depression relapse prophylaxis with mindfulness-based cognitive therapy: Replication and extension in the Swiss health care system. //Journal of Affective Disorders, 122//(3), 224-231. https://doi.org/10.1016/j.jad.2009.07.007
Bostanov, V., Keune, P.M., Kotchoubey, B., & Hautzinger, M. (2012). Event-related brain potentials reflect increased concentration ability after mindfulness-based cognitive therapy for depression: A randomized clinical trial. //Psychiatry Research, 199//(3), 174-180. https://doi.org/10.1016/j.psychres.2012.05.031
Britton, W.B., Haynes, P.L., Fridel, K.W., & Bootzin, R.R. (2012). Mindfulness-based cognitive therapy improves polysomnographic and subjective sleep profiles in antidepressant users with sleep complaints. //Psychotherapy and Psychosomatics, 81//(5), 296-304. https://doi.org/10.1159/000332755
Britton, W.B., Shahar, B., Szepsenwol, O., & Jacobs, W.J. (2012). Mindfulness-based cognitive therapy improves emotional reactivity to social stress: Results from a randomized controlled trial. //Behavior Therapy, 43//(2), 365-380. https://doi.org/10.1016/j.beth.2011.08.006
Chambers, S.K., Occhipinti, S., Foley, E., Clutton, S., Legg, M., Berry, M., ... & Smith, D.P. (2017). Mindfulness-based cognitive therapy in advanced prostate cancer: A randomized controlled trial. //Journal of Clinical Oncology, 35//(3), 291-+. https://doi.org/10.1200/JCO.2016.68.8788
Chiesa, A., Castagner, V., Andrisano, C., Serretti, A., Mandelli, L., Porcelli, S., ... & Giommi, F. (2015). Mindfulness-based cognitive therapy vs. psycho-education for patients with major depression who did not achieve remission following antidepressant treatment. //Psychiatry Research, 226//(42769), 474-483. https://doi.org/10.1016/j.psychres.2015.02.003
Chiesa, A., Mandelli, L., & Serretti, A. (2012). Mindfulness-based cognitive therapy versus psycho-education for patients with major depression who did not achieve remission following antidepressant treatment: A preliminary analysis. //Journal of Alternative and Complementary Medicine, 18//(8), 756-760. https://doi.org/10.1089/acm.2011.0407
Cladder-Micus, M.B., Vrijsen, J.N., Becker, E.S., Donders, R., Spijker, J., & Speckens, A.E.M. (2015). A randomized controlled trial of Mindfulness-Based Cognitive Therapy (MBCT) versus treatment-as-usual (TAU) for chronic, treatment-resistant depression: study protocol. //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0647-y
Coelho, H.F., Canter, P.H., & Ernst, E. (2007). Mindfulness-based cognitive therapy: Evaluating current evidence and informing future research. //Journal of Consulting and Clinical Psychology, 75//(6), 1000-1005. https://doi.org/10.1037/0022-006X.75.6.1000
Collip, D., Geschwind, N., Peeters, F., Myin-Germeys, I., van Os, J., & Wichers, M. (2013). Putting a hold on the downward spiral of paranoia in the social world: A randomized controlled trial of mindfulness-based cognitive therapy in individuals with a history of depression. //PLOS ONE, 8//(6). https://doi.org/10.1371/journal.pone.0066747
Craigie, M.A., Rees, C.S., Marsh, A., & Nathan, P. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder: A preliminary evaluation. //Behavioural and Cognitive Psychotherapy, 36//(5), 553-568. https://doi.org/10.1017/S135246580800458X
Crane, C., Barnhofer, T., Duggan, D.S., Hepburn, S., Fennell, M.V., & Williams, J.M.G. (2008). Mindfulness-based cognitive therapy and self-discrepancy in recovered depressed patients with a history of depression and suicidality. //Cognitive Therapy and Research, 32//(6), 775-787. https://doi.org/10.1007/s10608-008-9193-y
Crane, C., Crane, R.S., Eames, C., Fennell, M.J.V., Silverton, S., Williams, J.M.G., ... & Barnhofer, T. (2014). The effects of amount of home meditation practice in mindfulness based cognitive therapy on hazard of relapse to depression in the staying well after depression trial. //Behaviour Research and Therapy, 63//, 17-24. https://doi.org/10.1016/j.brat.2014.08.015
Crane, C., Winder, R., Hargus, E., Amarasinghe, M., & Barnhofer, T. (2012). Effects of mindfulness-based cognitive therapy on specificity of life goals. //Cognitive Therapy and Research, 36//(3), 182-189. https://doi.org/10.1007/s10608-010-9349-4
Crane, R.S., & Kuyken, W. (2013). The implementation of mindfulness-based cognitive therapy: Learning from the uk health service experience. //Mindfulness, 4//(3), 246-254. https://doi.org/10.1007/s12671-012-0121-6
Crane, R.S., Stanley, S., Rooney, M., Bartley, T., Cooper, L., & Mardula, J. (2015). Disciplined improvisation: Characteristics of inquiry in mindfulness-based teaching. //Mindfulness, 6//(5),1104–1114. https://doi.org/10.1007/s12671-014-0361-8
Day, M.A., & Thorn, B.E. (2016). The mediating role of pain acceptance during mindfulness-based cognitive therapy for headache. //Complementary Therapies in Medicine, 25//, 51-54. https://doi.org/10.1016/j.ctim.2016.01.002
Day, M.A., Halpin, J., & Thorn, B.E. (2016). An empirical examination of the role of common factors of therapy during a mindfulness-based cognitive therapy intervention for headache pain. //Clinical Journal of Pain, 32//(5), 420-427. https://doi.org/10.1097/AJP.0000000000000277
Day, M.A., Thorn, B.E., & Rubin, N.J. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain: A mixed-methods analysis comparing treatment responders and treatment non-responders. //Complementary Therapies in Medicine, 22//(2), 278-285. https://doi.org/10.1016/j.ctim.2013.12.018
Day, M.A., Thorn, B.E., Ward, L.C., Rubin, N., Hickman, S.D., Scogin, F., ... & Kilgo, G.R. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain a pilot study. //Clinical Journal of Pain, 30//(2), 152-161. https://doi.org/10.1097/AJP.0b013e318287a1dc
De Raedt, R., Baert, S., Demeyer, I., Goeleven, E., Raes, A., Visser, A., ... & Speckens, A. (2012). Changes in attentional processing of emotional information following mindfulness-based cognitive therapy in people with a history of depression: Towards an open attention for all emotional experiences. //Cognitive Therapy and Research, 36//(6), 612-620. https://doi.org/10.1007/s10608-011-9411-x
de Zoysa, N., Ruths, F.A., Walsh, J., & Hutton, J. (2014). Mindfulness-based cognitive therapy for mental health professionals: A long-term quantitative follow-up study. //Mindfulness, 5//(3), 268-275. https://doi.org/10.1007/s12671-012-0176-4
de Zoysa, N., Ruths, F.A., Walsh, J., & Hutton, J. (2014). Mindfulness based cognitive therapy for mental health professionals: A long-term qualitative follow-up study. //Mindfulness, 5//(1), 10-17. https://doi.org/10.1007/s12671-012-0141-2
Dimidjian, S., Beck, A., Felder, J.N., Boggs, J.M., Gallop, R., & Segal, Z.V. (2014). Web-based mindfulness-based cognitive therapy for reducing residual depressive symptoms: An open trial and quasi-experimental comparison to propensity score matched controls. //Behaviour Research and Therapy, 63//, 83-89. https://doi.org/10.1016/j.brat.2014.09.004
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2015). An open trial of mindfulness-based cognitive therapy for the prevention of perinatal depressive relapse/recurrence. //Archives of Womens Mental Health, 18//(1), 85-94. https://doi.org/10.1007/s00737-014-0468-x
Eisendrath, S.J., Gillung, E., Delucchi, K., Mathalon, D.H., Yang, T.T., Satre, D.D., ... & Wolkowitz, O.M. (2015). A preliminary study: Efficacy of mindfulness-based cognitive therapy versus sertraline as first-line treatments for major depressive disorder. //Mindfulness, 6//(3), 475-482. https://doi.org/10.1007/s12671-014-0280-8
Eisendrath, S.J., Gillung, E., Delucchi, K.L., Segal, Z.V., Nelson, J.C., McInnes, L.A., ... & Feldman, M.D. (2016). A randomized controlled trial of mindfulness-based cognitive therapy for treatment-resistant depression. //Psychotherapy and Psychosomatics, 85//(2), 99-110. https://doi.org/10.1159/000442260
Eisendrath, S.J., Gillung, E.P., Delucchi, K.L., Chartier, M., Mathalon, D.H., Sullivan, J.C., ... & Feldman, M.D. (2014). Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (hep) for adults with treatment-resistant depression: A randomized control trial study protocol. //BMC Complementary and Alternative Medicine, 14//. https://doi.org/10.1186/1472-6882-14-95
Evans, S., Ferrando, S., Findler, M., Stowell, C., Smart, C., & Haglin, D. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder. //Journal of Anxiety Disorders, 22//(4), 716-721. https://doi.org/10.1016/j.janxdis.2007.07.005
Felder, J.N., Segal, Z., Beck, A., Sherwood, N.E., Goodman, S.H., Boggs, J., ... & Dimidjian, S. (2017). An open trial of web-based mindfulness-based cognitive therapy for perinatal women at risk for depressive relapse. //Cognitive and Behavioral Practice, 24//(1), 26-37. https://doi.org/10.1016/j.cbpra.2016.02.002
Finucane, A., & Mercer, S.W. (2006). An exploratory mixed methods study of the acceptability and effectiveness of mindfulness -based cognitive therapy for patients with active depression and anxiety in primary care. //BMC Psychiatry, 6//. https://doi.org/10.1186/1471-244X-6-14
Fitzpatrick, L., Simpson, J., & Smith, A. (2010). A qualitative analysis of mindfulness-based cognitive therapy (MBCT) in parkinson's disease. //Psychology and Psychotherapy: Theory, Research and Practice, 83//(2), 179-192. https://doi.org/10.1348/147608309X471514
Fleer, J., Schroevers, M., Panjer, V., Geerts, E., & Meesters, Y. (2014). Mindfulness-based cognitive therapy for seasonal affective disorder: A pilot study. //Journal of Affective Disorders, 168//, 205-209. https://doi.org/10.1016/j.jad.2014.07.003
Forkmann, T., Wichers, M., Geschwind, N., Peeters, F., van Os, J., Mainz, V., ... & Collip, D. (2014). Effects of mindfulness-based cognitive therapy on self-reported suicidal ideation: Results from a randomised controlled trial in patients with residual depressive symptoms. //Comprehensive Psychiatry, 55//(8), 1883-1890. https://doi.org/10.1016/j.comppsych.2014.08.043
Geschwind, N., Peeters, F., Drukker, M., van Os, J., & Wichers, M. (2011). Mindfulness training increases momentary positive emotions and reward experience in adults vulnerable to depression: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 79//(5), 618-628. https://doi.org/10.1037/a0024595
Geschwind, N., Peeters, F., Huibers, M., van Os, J., & Wichers, M. (2012). Efficacy of mindfulness-based cognitive therapy in relation to prior history of depression: Randomised controlled trial. //British Journal of Psychiatry, 201//(4), 320-325. https://doi.org/10.1192/bjp.bp.111.104851
Gex-Fabry, M., Jermann, F., Kosel, M., Rossier, M.F., Van der Linden, M., Bertschy, G., ... & Aubry, J.M. (2012). Salivary cortisol profiles in patients remitted from recurrent depression: One-year follow-up of a mindfulness-based cognitive therapy trial. //Journal of Psychiatric Research, 46//(1), 80-86. https://doi.org/10.1016/j.jpsychires.2011.09.011
Gibbons, C., Felteau, M., Cullen, N., Marshall, S., Dubois, S., Maxwell, H., ... & Bedard, M. (2014). Training clinicians to deliver a mindfulness intervention. //Mindfulness, 5//(3), 232-237. https://doi.org/10.1007/s12671-012-0170-x
Godfrin, K.A., & van Heeringen, C. (2010). The effects of mindfulness-based cognitive therapy on recurrence of depressive episodes, mental health and quality of life: A randomized controlled study. //Behaviour Research and Therapy, 48//(8), 738-746. https://doi.org/10.1016/j.brat.2010.04.006
Gonzalez-Garcia, M., Ferrer, M.J., Borras, X., Munoz-Moreno, J.A., Miranda, C., Puig, J., ... & Fumaz, C.R. (2014). Effectiveness of Mindfulness-Based Cognitive Therapy on the Quality of Life, Emotional Status, and CD4 Cell Count of Patients Aging with HIV Infection. //AIDS and Behavior, 18//(4), 676-685. https://doi.org/10.1007/s10461-013-0612-z
Gotink, R.A., Chu, P., Busschbach, J.J.V., Benson, H., Fricchione, G.L., & Hunink, M.G.M. (2015). Standardised Mindfulness-Based Interventions in Healthcare: An Overview of Systematic Reviews and Meta-Analyses of RCTs. //PLOS ONE, 10//(4). https://doi.org/10.1371/journal.pone.0124344
Green, S.M., & Bieling, P.J. (2012). Expanding the scope of mindfulness-based cognitive therapy: Evidence for effectiveness in a heterogeneous psychiatric sample. //Cognitive and Behavioral Practice, 19//(1), 174-180. https://doi.org/10.1016/j.cbpra.2011.02.006
Hauge, C.R., Bonde, J.P.E., Rasmussen, A., & Skovbjerg, S. (2012). Mindfulness-based cognitive therapy for multiple chemical sensitivity: A study protocol for a randomized controlled trial. //Trials, 13//. https://doi.org/10.1186/1745-6215-13-179
Hauge, C.R., Rasmussen, A., Piet, J., Bonde, J.P., Jensen, C., Sumbundu, A., ... & Skovbjerg, S. (2015). Mindfulness-based cognitive therapy (MBCT) for multiple chemical sensitivity (MCS): Results from a randomized controlled trial with 1 year follow-up. //Journal of Psychosomatic Research, 79//(6), 628-634. https://doi.org/10.1016/j.jpsychores.2015.06.010
Hawley, L.L., Schwartz, D., Bieling, P.J., Irving, J., Corcoran, K., Farb, N.A.S., ... & Segal, Z.V. (2014). Mindfulness practice, rumination and clinical outcome in mindfulness-based treatment. //Cognitive Therapy and Research, 38//(1), 1-9. https://doi.org/10.1007/s10608-013-9586-4
Heeren, A., Van Broeck, N., & Philippot, P. (2009). The effects of mindfulness on executive processes and autobiographical memory specificity. //Behaviour Research and Therapy, 47//(5), 403-409. https://doi.org/10.1016/j.brat.2009.01.017
Helmes, E., & Ward, B.G. (2017). Mindfulness-based cognitive therapy for anxiety symptoms in older adults in residential care. //Aging & Mental Health, 21//(3), 272-278. https://doi.org/10.1080/13607863.2015.1111862
Hepburn, S.R., Crane, C., Barnhofer, T., Duggan, D.S., Fennell, M.J.V., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy may reduce thought suppression in previously suicidal participants: Findings from a preliminary study. //British Journal of Clinical Psychology, 48//, 209-215. https://doi.org/10.1348/014466509X414970
Herdt, J., Buhrlen, B., Bader, K., & Hanny, C. (2012). Participation in an adapted version of MBCT in psychiatric care. //Mindfulness, 3//(3), 218-226. https://doi.org/10.1007/s12671-012-0120-7
Hertenstein, E., Rose, N., Voderholzer, U., Heidenreich, T., Nissen, C., Thiel, N., ... & Kulz, A.K. (2012). Mindfulness-based cognitive therapy in obsessive-compulsive disorder - a qualitative study on patients' experiences. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-185
Hopkins, V., & Kuyken, W. (2012). Benefits and barriers to attending MBCT reunion meetings: An insider perspective. //Mindfulness, 3//(2), 139-150. https://doi.org/10.1007/s12671-012-0088-3
Howells, F.M., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2012). Mindfulness based cognitive therapy improves frontal control in bipolar disorder: A pilot EEG study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-15
Howells, F.M., Rauch, H.G.L., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2014). Mindfulness based cognitive therapy may improve emotional processing in bipolar disorder: Pilot ERP and HRV study. //Metabolic Brain Disease, 29//(2), 367-375. https://doi.org/10.1007/s11011-013-9462-7
Huijbers, M.J., Crane, R.S., Kuyken, W., Heijke, L., van den Hout, I., Donders, A.R.T., ... & Speckens, A.E.M. (2017). Teacher competence in mindfulness-based cognitive therapy for depression and its relation to treatment outcome. //Mindfulness, 8//(4), 960-972. https://doi.org/10.1007/s12671-016-0672-z
Huijbers, M.J., Spijker, J., Donders, A.R.T., van Schaik, D.J.F., van Oppen, P., Ruhe, H.G., ... & Speckens, A.E.M. (2012). Preventing relapse in recurrent depression using mindfulness-based cognitive therapy, antidepressant medication or the combination: Trial design and protocol of the moment study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-125
Huijbers, M.J., Spinhoven, P., Spijker, J., Ruhe, H.G., van Schaik, D.J.F., van Oppen, P., ... & Speckens, A.E.M. (2015). Adding mindfulness-based cognitive therapy to maintenance antidepressant medication for prevention of relapse/recurrence in major depressive disorder: Randomised controlled trial. //Journal of Affective Disorders, 187//, 54-61. https://doi.org/10.1016/j.jad.2015.08.023
Huijbers, M.J., Spinhoven, P., Spijker, J., Ruhe, H.G., van Schaik, D.J.F., van Oppen, P., ... & Speckens, A.E.M. (2016). Discontinuation of antidepressant medication after mindfulness-based cognitive therapy for recurrent depression: Randomised controlled non-inferiority trial. //British Journal of Psychiatry, 208//(4), 366-373. https://doi.org/10.1192/bjp.bp.115.168971
Huijbers, M.J., Spinhoven, P., van Schaik, D.J.F., Nolen, W.A., & Speckens, A.E.M. (2016). Patients with a preference for medication do equally well in mindfulness-based cognitive therapy for recurrent depression as those preferring mindfulness. //Journal of Affective Disorders, 195//, 32-39. https://doi.org/10.1016/j.jad.2016.01.041
Ives-Deliperi, V.L., Howells, F., Stein, D.J., Meintjes, E.M., & Horn, N. (2013). The effects of mindfulness-based cognitive therapy in patients with bipolar disorder: A controlled functional MRI investigation. //Journal of Affective Disorders, 150//(3), 1152-1157. https://doi.org/10.1016/j.jad.2013.05.074
Jermann, F., Van der Linden, M., Gex-Fabry, M., Guarin, A., Kosel, M., Bertschy, G., ... & Bondolfi, G. (2013). Cognitive functioning in patients remitted from recurrent depression: Comparison with acutely depressed patients and controls and follow-up of a mindfulness-based cognitive therapy trial. //Cognitive Therapy and Research, 37//(5), 1004-1014. https://doi.org/10.1007/s10608-013-9544-1
Johannsen, M., O'Toole, M.S., O'Connor, M., Jensen, A.B., & Zachariae, R. (2017). Clinical and psychological moderators of the effect of mindfulness-based cognitive therapy on persistent pain in women treated for primary breast cancer - explorative analyses from a randomized controlled trial. //Acta Oncologica, 56//(2), 321-328. https://doi.org/10.1080/0284186X.2016.1268713
Kangas, M. (2014). The evolution of mindfulness-based cognitive therapy. //Australian Psychologist, 49//(5), 280-282. https://doi.org/10.1111/ap.12072
Keune, P.M., Bostanov, V., Hautzinger, M., & Kotchoubey, B. (2011). Mindfulness-based cognitive therapy (MBCT), cognitive style, and the temporal dynamics of frontal EEG alpha asymmetry in recurrently depressed patients. //Biological Psychology, 88//(42769), 243-252. https://doi.org/10.1016/j.biopsycho.2011.08.008
Key, B.L., Rowa, K., Bieling, P., McCabe, R., & Pawluk, E.J. (2017). Mindfulness-based cognitive therapy as an augmentation treatment for obsessive-compulsive disorder. //Clinical Psychology & Psychotherapy, 24//(5), 1109-1120. https://doi.org/10.1002/cpp.2076
Kim, B., Cho, S.J., Lee, K.S., Lee, J.Y., Choe, A.Y., Lee, J.E., ... & Lee, S.H. (2013). Factors associated with treatment outcomes in mindfulness-based cognitive therapy for panic disorder. //Yonsei Medical Journal, 54//(6), 1454-1462. https://doi.org/10.3349/ymj.2013.54.6.1454
Kim, B., Lee, S.H., Kim, Y.W., Choi, T.K., Yook, K., Suh, S.Y., ... & Yook, K.H. (2010). Effectiveness of a mindfulness-based cognitive therapy program as an adjunct to pharmacotherapy in patients with panic disorder. //Journal of Anxiety Disorders, 24//(6), 590-595. https://doi.org/10.1016/j.janxdis.2010.03.019
Kim, Y.W., Lee, S.H., Choi, T.K., Suh, S.Y., Kim, B., Kim, C.M., ... & Yook, K.H. (2009). Effectiveness of mindfulness-based cognitive therapy as an adjuvant to pharmacotherapy in patients with panic disorder or generalized anxiety disorder. //Depression and Anxiety, 26//(7), 601-606. https://doi.org/10.1002/da.20552
King, A.P., Erickson, T.M., Giardino, N.D., Favorite, T., Rauch, S.A.M., Robinson, E., ... & Liberzon, I. (2013). A pilot study of group mindfulness-based cognitive therapy (MBCT) for combat veterans with posttraumatic stress disorder (PTSD). //Depression and Anxiety, 30//(7), 638-645. https://doi.org/10.1002/da.22104
Kingston, T., Dooley, B., Bates, A., Lawlor, E., & Malone, K. (2007). Mindfulness-based cognitive therapy for residual depressive symptoms. //Psychology and Psychotherapy: Theory, Research and Practice, 80//, 193-203. https://doi.org/10.1348/147608306X116016
Kulz, A.K., Landmann, S., Cludius, B., Hottenrott, B., Rose, N., Heidenreich, T., ... & Moritz, S. (2014). Mindfulness-based cognitive therapy in obsessive-compulsive disorder: Protocol of a randomized controlled trial. //BMC Psychiatry, 14//. https://doi.org/10.1186/s12888-014-0314-8
Kurdyak, P., Newman, A., & Segal, Z. (2014). Impact of mindfulness-based cognitive therapy on health care utilization: A population-based controlled comparison. //Journal of Psychosomatic Research, 77//(2), 85-89. https://doi.org/10.1016/j.jpsychores.2014.06.009
Kuyken, W., Byford, S., Byng, R., Dalgleish, T., Lewis, G., Taylor, R., ... & Evans, A. (2010). Study protocol for a randomized controlled trial comparing mindfulness-based cognitive therapy with maintenance anti-depressant treatment in the prevention of depressive relapse/recurrence: The prevent trial. //Trials, 11//. https://doi.org/10.1186/1745-6215-11-99
Kuyken, W., Byford, S., Byng, R., Dalgleish, T., Lewis, G., Taylor, R., ... & Evans, A. (2014). Update to the study protocol for a randomized controlled trial comparing mindfulness-based cognitive therapy with maintenance anti-depressant treatment depressive relapse/recurrence: The prevent trial. //Trials, 15//. https://doi.org/10.1186/1745-6215-15-217
Kuyken, W., Byford, S., Taylor, R.S., Watkins, E., Holden, E., White, K., ... & Teasdale, J.D. (2008). Mindfulness-based cognitive therapy to prevent relapse in recurrent depression. //Journal of Consulting and Clinical Psychology, 76//(6), 966-978. https://doi.org/10.1037/a0013786
Kuyken, W., Hayes, R., Barrett, B., Byng, R., Dalgleish, T., Kessler, D., ... & Byford, S. (2015). Effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse or recurrence (prevent): A randomised controlled trial. //Lancet, 386//(9988), 63-73. https://doi.org/10.1016/S0140-6736(14)62222-4
Kuyken, W., Hayes, R., Barrett, B., Byng, R., Dalgleish, T., Kessler, D., ... & Byford, S. (2015). The effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse/recurrence: Results of a randomised controlled trial (the prevent study). //Health Technology Assessment, 19//(73). https://doi.org/10.3310/hta19730
Kuyken, W., Warren, F.C., Taylor, R.S., Whalley, B., Crane, C., Bondolfi, G., ... & Dalgleish, T. (2016). Efficacy of mindfulness-based cognitive therapy in prevention of depressive relapse an individual patient data meta-analysis from randomized trials. //JAMA Psychiatry, 73//(6), 565-574. https://doi.org/10.1001/jamapsychiatry.2016.0076
Kuyken, W., Watkins, E., Holden, E., White, K., Taylor, R.S., Byford, S., ... & Dalgleish, T. (2010). How does mindfulness-based cognitive therapy work?. //Behaviour Research and Therapy, 48//(11), 1105-1112. https://doi.org/10.1016/j.brat.2010.08.003
Lahera, G., Bayon, C., Bravo-Ortiz, M.F., Rodriguez-Vega, B., Barbeito, S., Saenz, M., ... & de Dios, C. (2014). Mindfulness-based cognitive therapy versus psychoeducational intervention in bipolar outpatients with sub-threshold depressive symptoms: A randomized controlled trial. //BMC Psychiatry, 14//. https://doi.org/10.1186/s12888-014-0215-x
Lau, M.A., Colley, L., Willett, B.R., & Lynd, L.D. (2012). Employee's preferences for access to mindfulness-based cognitive therapy to reduce the risk of depressive relapse-a discrete choice experiment. //Mindfulness, 3//(4), 318-326. https://doi.org/10.1007/s12671-012-0108-3
Lovas, D.A., & Barsky, A.J. (2010). Mindfulness-based cognitive therapy for hypochondriasis, or severe health anxiety: A pilot study. //Journal of Anxiety Disorders, 24//(8), 931-935. https://doi.org/10.1016/j.janxdis.2010.06.019
Luberto, C.M., Magidson, J.F., & Blashill, A.J. (2017). A case study of individually delivered mindfulness-based cognitive behavioral therapy for severe health anxiety. //Cognitive and Behavioral Practice, 24//(4), 484-495. https://doi.org/10.1016/j.cbpra.2016.10.001
Ma, S.H., & Teasdale, J.D. (2004). Mindfulness-based cognitive therapy for depression: Replication and exploration of differential relapse prevention effects. //Journal of Consulting and Clinical Psychology, 72//(1), 31-40. https://doi.org/10.1037/0022-006X.72.1.31
Malpass, A., Kessler, D., Sharp, D., & Shaw, A. (2015). Mbct for patients with respiratory conditions who experience anxiety and depression: A qualitative study. //Mindfulness, 6//(5), 1181-1191. https://doi.org/10.1007/s12671-014-0370-7
Manicavasagar, V., Perich, T., & Parker, G. (2012). Cognitive predictors of change in cognitive behaviour therapy and mindfulness-based cognitive therapy for depression. //Behavioural and Cognitive Psychotherapy, 40//(2), 227-232. https://doi.org/10.1017/S1352465811000634
Manicavasgar, V., Parker, G., & Perich, T. (2011). Mindfulness-based cognitive therapy vs cognitive behaviour therapy as a treatment for non-melancholic depression. //Journal of Affective Disorders, 130//(42737), 138-144. https://doi.org/10.1016/j.jad.2010.09.027
Marchand, W.R. (2012). Mindfulness-based stress reduction, mindfulness-based cognitive therapy, and zen meditation for depression, anxiety, pain, and psychological distress. //Journal of Psychiatric Practice, 18//(4), 233-252. https://doi.org/10.1097/01.pra.0000416014.53215.86
Marx, R., Strauss, C., & Williamson, C. (2015). Mindfulness Apprenticeship: A new Model of NHS-Based MBCT Teacher Training. //Mindfulness, 6//(2), 253-263. https://doi.org/10.1007/s12671-013-0254-2
Mason, O., & Hargreaves, I. (2001). A qualitative study of mindfulness-based cognitive therapy for depression. //British Journal of Medical Psychology, 74//, 197-212. https://doi.org/10.1348/000711201160911
Masrour, M.J., Aerabsheybani, H., Ramezani, N., & Aerabsheybani, K. (2017). The effectiveness of mindfulness-based cognitive therapy (mbct) in increasing infertile couples' resilience and reducing anxiety, stress, and depression. //Neuroquantology, 15//(3), 94-100. https://doi.org/10.14704/nq.2017.15.3.1088
Mathew, K.L., Whitford, H.S., Kenny, M.A., & Denson, L.A. (2010). The long-term effects of mindfulness-based cognitive therapy as a relapse prevention treatment for major depressive disorder. //Behavioural and Cognitive Psychotherapy, 38//(5), 561-576. https://doi.org/10.1017/S135246581000010X
McManus, F., Muse, K., Surawy, C., Hackmann, A., & Williams, J.M.G. (2015). Relating differently to intrusive images: The impact of mindfulness-based cognitive therapy (MBCT) on intrusive images in patients with severe health anxiety (hypochondriasis). //Mindfulness, 6//(4), 788-796. https://doi.org/10.1007/s12671-014-0318-y
McManus, F., Surawy, C., Muse, K., Vazquez-Montes, M., & Williams, J.M.G. (2012). A randomized clinical trial of mindfulness-based cognitive therapy versus unrestricted services for health anxiety (hypochondriasis). //Journal of Consulting and Clinical Psychology, 80//(5), 817-828. https://doi.org/10.1037/a0028782
Meadows, G.N., Shawyer, F., Enticott, J.C., Graham, A.L., Judd, F., Martin, P.R., ... & Segal, Z. (2014). Mindfulness-based cognitive therapy for recurrent depression: A translational research study with 2-year follow-up. //Australian and New Zealand Journal of Psychiatry, 48//(8), 743-755. https://doi.org/10.1177/0004867414525841
Metcalf, C.A., & Dimidjian, S. (2014). Extensions and mechanisms of mindfulness-based cognitive therapy: A review of the evidence. //Australian Psychologist, 49//(5), 271-279. https://doi.org/10.1111/ap.12074
Michalak, J., Burg, J., & Heidenreich, T. (2012). Don't forget your body: Mindfulness, embodiment, and the treatment of depression. //Mindfulness, 3//(3), 190-199. https://doi.org/10.1007/s12671-012-0107-4
Michalak, J., Heidenirich, T., Meibert, P., & Schulte, D. (2008). Mindfulness predicts relapse/recurrence in major depressive disorder after mindfulness-based cognitive therapy. //Journal of Nervous and Mental Disease, 196//(8), 630-633. https://doi.org/10.1097/NMD.0b013e31817d0546
Michalak, J., Schultze, M., Heidenreich, T., & Schramm, E. (2015). A randomized controlled trial on the efficacy of mindfulness-based cognitive therapy and a group version of cognitive behavioral analysis system of psychotherapy for chronically depressed patients. //Journal of Consulting and Clinical Psychology, 83//(5). https://doi.org/10.1037/ccp0000042
Michalak, J., Troje, N.F., & Heidenreich, T. (2011). The effects of mindfulness-based cognitive therapy on depressive gait patterns. //Journal of Cognitive and Behavioral Psychotherapies, 11//(1), 13-27.https://www.biomotionlab.ca/Text/MichalakJCBP11.pdf
Miklowitz, D.J., Alatiq, Y., Goodwin, G.M., Geddes, J.R., Fennell, M.J.V., Dimidjian, S., ... & Williams, J.M.G. (2009). A pilot study of mindfulness-based cognitive therapy for bipolar disorder. //International Journal of Cognitive Therapy, 2//(4), 373-382. https://doi.org/10.1521/ijct.2009.2.4.373
Moore, K.M., & Martin, M.E. (2015). Using MBCT in a Chronic Pain Setting: A Qualitative Analysis of Participants’ Experiences. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0363-6
Munshi, K., Eisendrath, S., & Delucchi, K. (2013). Preliminary long-term follow-up of mindfulness-based cognitive therapy-induced remission of depression. //Mindfulness, 4//(4), 354-361. https://doi.org/10.1007/s12671-012-0135-0
Nyklicek, I., van Son, J., Pop, V.J., Denollet, J., & Pouwer, F. (2016). Does Mindfulness-Based Cognitive Therapy benefit all people with diabetes and comorbid emotional complaints equally? Moderators in the DiaMind trial. //Journal of Psychosomatic Research, 91//, 40-47. https://doi.org/10.1016/j.jpsychores.2016.10.009
O'Connor, M., Piet, J., & Hougaard, E. (2014). The effects of mindfulness-based cognitive therapy on depressive symptoms in elderly bereaved people with loss-related distress: A controlled pilot study. //Mindfulness, 5//(4), 400-409. https://doi.org/10.1007/s12671-013-0194-x
O'Doherty, V., Carr, A., McGrann, A., O'Neill, J.O., Dinan, S., Graham, I., ... & Maher, V. (2015). A controlled evaluation of mindfulness-based cognitive therapy for patients with coronary heart disease and depression. //Mindfulness, 6//(3), 405-416. https://doi.org/10.1007/s12671-013-0272-0
Omidi, A., Mohammadkhani, P., Mohammadi, A., & Zargar, F. (2013). Comparing mindfulness based cognitive therapy and traditional cognitive behavior therapy with treatments as usual on reduction of major depressive disorder symptoms. //Iranian Red Crescent Medical Journal, 15//(2), 142-146. https://doi.org/10.5812/ircmj.8018
Parra-Delgado, M., & Latorre-Postigo, J.M. (2013). Effectiveness of mindfulness-based cognitive therapy in the treatment of fibromyalgia: A randomised trial. //Cognitive Therapy and Research, 37//(5), 1015-1026. https://doi.org/10.1007/s10608-013-9538-z
Patten, S.B., & Meadows, G.M. (2009). Population-based service planning for implementation of mbct: Linking epidemiologic data to practice. //Psychiatric Services, 60//(11), 1540-1542. https://doi.org/10.1176/ps.2009.60.11.1540
Perich, T., Manicavasagar, V., Mitchell, P.B., & Ball, J.R. (2013). The association between meditation practice and treatment outcome in mindfulness-based cognitive therapy for bipolar disorder. //Behaviour Research and Therapy, 51//(7), 338-343. https://doi.org/10.1016/j.brat.2013.03.006
Perich, T., Manicavasagar, V., Mitchell, P.B., Ball, J.R., & Hadzi-Pavlovic, D. (2013). A randomized controlled trial of mindfulness-based cognitive therapy for bipolar disorder. //Acta Psychiatrica Scandinavica, 127//(5), 333-343. https://doi.org/10.1111/acps.12033
Pots, W.T.M., Meulenbeek, P.A.M., Veehof, M.M., Klungers, J., & Bohlmeijer, E.T. (2014). The efficacy of mindfulness-based cognitive therapy as a public mental health intervention for adults with mild to moderate depressive symptomatology: A randomized controlled trial. //PLOS ONE, 9//(10). https://doi.org/10.1371/journal.pone.0109789
Prowse, P.T., Meadows, G., & Enticott, J. (2015). An exploratory study into the effectiveness of fidelity scales in the delivery of mindfulness-based cognitive therapy. //Mindfulness, 6//(6), 1401-1410. https://doi.org/10.1007/s12671-015-0412-9
Raes, F., Dewulf, D., Van Heeringen, C., & Williams, J.M.G. (2009). Mindfulness and reduced cognitive reactivity to sad mood: Evidence from a correlational study and a non-randomized waiting list controlled study. //Behaviour Research and Therapy, 47//(7), 623-627. https://doi.org/10.1016/j.brat.2009.03.007
Randal, C., Bucci, S., Morera, T., Barrett, M., & Pratt, D. (2016). Mindfulness-based cognitive therapy for psychosis: Measuring psychological change using repertory grids. //Clinical Psychology & Psychotherapy, 23//(6), 496-508. https://doi.org/10.1002/cpp.1966
Rasmussen, M.K. (2016). A feasibility study of mindfulness-based cognitive therapy for foreign nationals living in japan. //Advances in Mental Health, 14//(1), 48-56. https://doi.org/10.1080/18387357.2015.1074777
Ree, M.J., & Craigie, M.A. (2007). Outcomes following mindfulness-based cognitive therapy in a heterogeneous sample of adult outpatients. //Behaviour Change, 24//(2), 70-86. https://doi.org/10.1375/bech.24.2.70
Rees, C.S., Hasking, P., Breen, L.J., Lipp, O.V., & Mamotte, C. (2015). Group mindfulness based cognitive therapy vs group support for self-injury among young people: Study protocol for a randomised controlled trial. //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0527-5
Rimes, K.A., & Wingrove, J. (2011). Pilot study of mindfulness-based cognitive therapy for trainee clinical psychologists. //Behavioural and Cognitive Psychotherapy, 39//(2), 235-241. https://doi.org/10.1017/S1352465810000731
Rimes, K.A., & Wingrove, J. (2013). Mindfulness-based cognitive therapy for people with chronic fatigue syndrome still experiencing excessive fatigue after cognitive behaviour therapy: A pilot randomized study. //Clinical Psychology & Psychotherapy, 20//(2), 107-117. https://doi.org/10.1002/cpp.793
Ruths, F.A., de Zoysa, N., Frearson, S.J., Hutton, J., Williams, J.M.G., & Walsh, J. (2013). Mindfulness-based cognitive therapy for mental health professionals - a pilot study. //Mindfulness, 4//(4), 289-295. https://doi.org/10.1007/s12671-012-0127-0
Rycroft-Malone, J., Anderson, R., Crane, R.S., Gibson, A., Gradinger, F., Griffiths, H.O., ... & Kuyken, W. (2014). Accessibility and implementation in UK services of an effective depression relapse prevention programme – mindfulness-based cognitive therapy (MBCT): ASPIRE study protocol. //Implementation Science, 9//. https://doi.org/10.1186/1748-5908-9-62
Sachse, S., Keville, S., & Feigenbaum, J. (2011). A feasibility study of mindfulness-based cognitive therapy for individuals with borderline personality disorder. //Psychology and Psychotherapy: Theory, Research and Practice, 84//(2), 184-200. https://doi.org/10.1348/147608310X516387
Schoenberg, P.L.A., & Speckens, A.E.M. (2014). Modulation of induced frontocentral theta (Fm-<U+03B8>) event-related (de-)synchronisation dynamics following mindfulness-based cognitive therapy in Major Depressive Disorder. //Cognitive Neurodynamics, 8//(5), 373-388. https://doi.org/10.1007/s11571-014-9294-0
Schoenberg, P.L.A., & Speckens, A.E.M. (2015). Multi-dimensional modulations of alpha and gamma cortical dynamics following mindfulness-based cognitive therapy in major depressive disorder. //Cognitive Neurodynamics, 9//(1), 13-29. https://doi.org/10.1007/s11571-014-9308-y
Schoenberg, P.L.A., Hepark, S., Kan, C.C., Barendregt, H.P., Buitelaar, J.K., & Speckens, A.E.M. (2014). Effects of mindfulness-based cognitive therapy on neurophysiological correlates of performance monitoring in adult attention-deficit/hyperactivity disorder. //Clinical Neurophysiology, 125//(7), 1407-1416. https://doi.org/10.1016/j.clinph.2013.11.031
Schoultz, M., Atherton, I., & Watson, A. (2015). Mindfulness-based cognitive therapy for inflammatory bowel disease patients: Findings from an exploratory pilot randomised controlled trial. //Trials, 16//. https://doi.org/10.1186/s13063-015-0909-5
Schoultz, M., Atherton, I.M., Hubbard, G., & Watson, A.J.M. (2013). The use of mindfulness-based cognitive therapy for improving quality of life for inflammatory bowel disease patients: Study protocol for a pilot randomised controlled trial with embedded process evaluation. //Trials, 14//. https://doi.org/10.1186/1745-6215-14-431
Schroevers, M.J., Tovote, K.A., Snippe, E., & Fleer, J. (2016). Group and individual mindfulness-based cognitive therapy (MBCT) are both effective: A pilot randomized controlled trial in depressed people with a somatic disease. //Mindfulness, 7//(6), 1339-1346. https://doi.org/10.1007/s12671-016-0575-z
Schuling, R., Huijbers, M.J., van Ravesteijn, H., Donders, R., Kuyken, W., & Speckens, A.E.M. (2016). A parallel-group, randomized controlled trial into the effectiveness of mindfulness-based compassionate living (MBCL) compared to treatment-as-usual in recurrent depression: Trial design and protocol. //Contemporary Clinical Trials, 50//, 77-83. https://doi.org/10.1016/j.cct.2016.07.014
Segal, Z.V., Bieling, P., Young, T., MacQueen, G., Cooke, R., Martin, L., ... & Levitan, R.D. (2010). Antidepressant monotherapy vs sequential pharmacotherapy and mindfulness-based cognitive therapy, or placebo, for relapse prophylaxis in recurrent depression. //Archives of General Psychiatry, 67//(12), 1256-1264. https://doi.org/10.1001/archgenpsychiatry.2010.168
Segal, Z.V., Teasdale, J.D., Williams, J.M., & Gemar, M.C. (2002). The mindfulness-based cognitive therapy adherence scale: Inter-rater reliability, adherence to protocol and treatment distinctiveness. //Clinical Psychology & Psychotherapy, 9//(2), 131-138. https://doi.org/10.1002/cpp.320
Sguazzin, C.M.G., Key, B.L., Rowa, K., Bieling, P.J., & McCabe, R.E. (2017). Mindfulness-based cognitive therapy for residual symptoms in obsessive-compulsive disorder: A qualitative analysis. //Mindfulness, 8//(1), 190-203. https://doi.org/10.1007/s12671-016-0592-y
Shahar, B., Britton, W.B., Sbarra, D.A., Figueredo, A.J., & Bootzin, R.R. (2010). Mechanisms of change in mindfulness-based cognitive therapy for depression: Preliminary evidence from a randomized controlled trial. //International Journal of Cognitive Therapy, 3//(4), 402-418. https://doi.org/10.1521/ijct.2010.3.4.402
Shallcross, A.J., Gross, J.J., Visvanathan, P.D., Kumar, N., Palfrey, A., Ford, B.Q., ... & Mauss, I.B. (2015). Relapse prevention in major depressive disorder: Mindfulness-based cognitive therapy versus an active control condition. //Journal of Consulting and Clinical Psychology, 83//(5), 964-975 https://doi.org/10.1037/ccp0000050
Shawyer, F., Meadows, G.N., Judd, F., Martin, P.R., Segal, Z., & Piterman, L. (2012). The dare study of relapse prevention in depression: Design for a phase 1/2 translational randomised controlled trial involving mindfulness-based cognitive therapy and supported self monitoring. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-3
Skovbjerg, S., Hauge, C.R., Rasmussen, A., Winkel, P., & Elberling, J. (2012). Mindfulness-based cognitive therapy to treat multiple chemical sensitivities: A randomized pilot trial. //Scandinavian Journal of Psychology, 53//(3), 233-238. https://doi.org/10.1111/j.1467-9450.2012.00950.x
Smith, A., Graham, L., & Senthinathan, S. (2007). Mindfulness-based cognitive therapy for recurring depression in older people: A qualitative study. //Aging & Mental Health, 11//(3), 346-357. https://doi.org/10.1080/13607860601086256
Smith, E.L., Jones, F.W., Holttum, S., & Griffiths, K. (2015). The process of engaging in mindfulness-based cognitive therapy as a partnership: A grounded theory study. //Mindfulness, 6//(3), 455-466. https://doi.org/10.1007/s12671-014-0278-2
Snippe, E., Schroevers, M.J., Tovote, K., Sanderman, R., Emmelkamp, P.M.G., & Fleer, J. (2015). Patients' outcome expectations matter in psychological interventions for patients with diabetes and comorbid depressive symptoms. //Cognitive Therapy and Research, 39//(3), 307-317. https://doi.org/10.1007/s10608-014-9667-z
Snippe, E., Viechtbauer, W., Geschwind, N., Klippel, A., de Jonge, P., & Wichers, M. (2017). The impact of treatments for depression on the dynamic network structure of mental states: Two randomized controlled trials. //Scientific Reports, 7//. https://doi.org/10.1038/srep46523
Spinhoven, P., Huijbers, M.J., Ormel, J., & Speckens, A.E.M. (2017). Improvement of mindfulness skills during mindfulness-based cognitive therapy predicts long-term reductions of neuroticism in persons with recurrent depression in remission. //Journal of Affective Disorders, 213//, 112-117. https://doi.org/10.1016/j.jad.2017.02.011
Surawy, C., McManus, F., Muse, K., & Williams, J.M.G. (2015). Mindfulness-based cognitive therapy (MBCT) for health anxiety (hypochondriasis): Rationale, implementation and case illustration. //Mindfulness, 6//(2), 382-392. https://doi.org/10.1007/s12671-013-0271-1
Teasdale, J.D., Segal, Z.V., Williams, J.M.G., Ridgeway, V.A., Soulsby, J.M., & Lau, M.A. (2000). Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy. //Journal of Consulting and Clinical Psychology, 68//(4), 615-623. https://doi.org/10.1037//0022-006X.68.4.615
Tomfohr-Madsen, L.M., Campbell, T.S., Giesbrecht, G.F., Letourneau, N.L., Carlson, L.E., Madsen, J.W., ... & Dimidjian, S. (2016). Mindfulness-based cognitive therapy for psychological distress in pregnancy: Study protocol for a randomized controlled trial. //Trials, 17//. https://doi.org/10.1186/s13063-016-1601-0
Tovote, K.A., Fleer, J., Snippe, E., Peeters, A.C.T.M., Emmelkamp, P.M.G., Sanderman, R., ... & Schroevers, M.J. (2014). Individual mindfulness-based cognitive therapy and cognitive behavior therapy for treating depressive symptoms in patients with diabetes: Results of a randomized controlled trial. //Diabetes Care, 37//(9), 2427-2434. https://doi.org/10.2337/dc13-2918
Tovote, K.A., Schroevers, M.J., Snippe, E., Emmelkamp, P.M.G., Links, T.P., Sanderman, R., ... & Fleer, J. (2017). What works best for whom? cognitive behavior therapy and mindfulness-based cognitive therapy for depressive symptoms in patients with diabetes. //PLOS ONE, 12//(6). https://doi.org/10.1371/journal.pone.0179941
Troy, A.S., Shallcross, A.J., Davis, T.S., & Mauss, I.B. (2013). History of mindfulness-based cognitive therapy is associated with increased cognitive reappraisal ability. //Mindfulness, 4//(3), 213-222. https://doi.org/10.1007/s12671-012-0114-5
van Aalderen, J.R., Donders, A.R.T., Giommi, F., Spinhoven, P., Barendregt, H.P., & Speckens, A.E.M. (2012). The efficacy of mindfulness-based cognitive therapy in recurrent depressed patients with and without a current depressive episode: A randomized controlled trial. //Psychological Medicine, 42//(5), 989-1001. https://doi.org/10.1017/S0033291711002054
van Aalderen, J.R., Donders, A.R.T., Peffer, K., & Speckens, A.E.M. (2015). Long-term outcome of mindfulness-based cognitive therapy in recurrently depressed patients with and without a depressive episode at baseline. //Depression and Anxiety, 32//(8), 563-NA. https://doi.org/10.1002/da.22369
van Ravesteijn, H., Grutters, J., Hartman, T.O., Lucassen, P., Bor, H., van Weel, C., ... & Speckens, A. (2013). Mindfulness-based cognitive therapy for patients with medically unexplained symptoms: A cost-effectiveness study. //Journal of Psychosomatic Research, 74//(3), 197-205. https://doi.org/10.1016/j.jpsychores.2013.01.001
van Ravesteijn, H., Lucassen, P., Bor, H., van Weel, C., & Speckens, A. (2013). Mindfulness-based cognitive therapy for patients with medically unexplained symptoms: A randomized controlled trial. //Psychotherapy and Psychosomatics, 82//(5), 299-310. https://doi.org/10.1159/000348588
van Ravesteijn, H.J., Suijkerbuijk, Y.B., Langbroek, J.A., Muskens, E., Lucassen, P.L.B.J., van Weel, C., ... & Speckens, A.E.M. (2014). Mindfulness-based cognitive therapy (MBCT) for patients with medically unexplained symptoms: Process of change. //Journal of Psychosomatic Research, 77//(1), 27-33. https://doi.org/10.1016/j.jpsychores.2014.04.010
van Son, J., Nyklicek, I., Pop, V.J., Blonk, M.C., Erdtsieck, R.J., Spooren, P.F., ... & Pouwer, F. (2013). The Effects of a Mindfulness-Based Intervention on Emotional Distress, Quality of Life, and HbA1c in Outpatients With Diabetes (DiaMind). //Diabetes Care, 36//(4), 823-830. https://doi.org/10.2337/dc12-1477
van Vugt, M.K., Hitchcock, P., Shahar, B., & Britton, W. (2012). The effects of mindfulness-based cognitive therapy on affective memory recall dynamics in depression: a mechanistic model of rumination. //Frontiers in Human Neuroscience, 6//, 257. https://doi.org/10.3389/fnhum.2012.00257
Verhoeven, J.E., Vrijsen, J.N., van Oostrom, I., Speckens, A.E.M., & Rinck, M. (2014). Attention effects of mindfulness-based cognitive therapy in formerly depressed patients. //Journal of Experimental Psychopathology, 5//(4), 414-424. https://doi.org/10.5127/jep.037513
Weber, B., Jermann, F., Gex-Fabry, M., Nallet, A., Bondolfi, G., & Aubry, J.M. (2010). Mindfulness-based cognitive therapy for bipolar disorder: A feasibility trial. //European Psychiatry, 25//(6), 334-337. https://doi.org/10.1016/j.eurpsy.2010.03.007
Weber, B., Sala, L., Gex-Fabry, M., Docteur, A., Gorwood, P., Cordera, P., ... & Mirabel-Sarron, C. (2017). Self-reported long-term benefits of mindfulness-based cognitive therapy in patients with bipolar disorder. //Journal of Alternative and Complementary Medicine, 23//(7), 534-540. https://doi.org/10.1089/acm.2016.0427
Wheeler, A., Denson, L., Neil, C., Tucker, G., Kenny, M., Beltrame, J.F., ... & Proeve, M. (2014). Investigating the effect of mindfulness training on heart rate variability in mental health outpatients: A pilot study. //Behaviour Change, 31//(3), 175-188. https://doi.org/10.1017/bec.2014.14
Williams, J.M.G., Alatiq, Y., Crane, C., Barnhofer, T., Fennell, M.J.V., Duggan, D.S., ... & Goodwin, G.M. (2008). Mindfulness-based cognitive therapy (MBCT) in bipolar disorder: Preliminary evaluation of immediate effects on between-episode functioning. //Journal of Affective Disorders, 107//(42738), 275-279. https://doi.org/10.1016/j.jad.2007.08.022
Williams, J.M.G., Crane, C., Barnhofer, T., Brennan, K., Duggan, D.S., Fennell, M.J.V., ... & Russell, I.T. (2014). Mindfulness-based cognitive therapy for preventing relapse in recurrent depression: A randomized dismantling trial. //Journal of Consulting and Clinical Psychology, 82//(2), 275-286. https://doi.org/10.1037/a0035036
Williams, J.M.G., Duggan, D.S., Crane, C., & Fennell, M.J.V. (2006). Mindfulness-based cognitive therapy for prevention of recurrence of suicadal behavior. //Journal of Clinical Psychology, 62//(2), 201-210. https://doi.org/10.1002/jclp.20223
Williams, J.M.G., Russell, I., & Russell, D. (2008). Mindfulness-based cognitive therapy: Further issues in current evidence and future research. //Journal of Consulting and Clinical Psychology, 76//(3), 524-529. https://doi.org/10.1037/0022-006X.76.3.524
Williams, J.M.G., Russell, I.T., Crane, C., Russell, D., Whitaker, C.J., Duggan, D.S., ... & Silverton, S. (2010). Staying well after depression: Trial design and protocol. //BMC Psychiatry, 10//. https://doi.org/10.1186/1471-244X-10-23
Williams, M.J., McManus, F., Muse, K., & Williams, J.M.G. (2011). Mindfulness-based cognitive therapy for severe health anxiety (hypochondriasis): An interpretative phenomenological analysis of patients' experiences. //British Journal of Clinical Psychology, 50//, 379-397. https://doi.org/10.1111/j.2044-8260.2010.02000.x
Wong, S.Y.S., Mak, W.W.S., Cheung, E.Y.L., Ling, C.Y.M., Lui, W.W.S., Tang, W.K., ... & Ma, H.S.W. (2011). A randomized, controlled clinical trial: The effect of mindfulness-based cognitive therapy on generalized anxiety disorder among Chinese community patients: Protocol for a randomized trial. //BMC Psychiatry, 11//. https://doi.org/10.1186/1471-244X-11-187
Bauer-Wu, S., Sullivan, A.M., Rosenbaum, E., Ott, M.J., Powell, M., McLoughlin, M., ... & Healey, M.W. (2008). Facing the challenges of hematopoietic stem cell transplantation with mindfulness meditation: A pilot study. //Integrative Cancer Therapies, 7//(2), 62-69. https://doi.org/10.1177/1534735408319068
Bluth, K., Gaylord, S., Nguyen, K., Bunevicius, A., & Girdler, S. (2015). Mindfulness-based stress reduction as a promising intervention for amelioration of premenstrual dysphoric disorder symptoms. //Mindfulness, 6//(6), 1292–1302. https://doi.org/10.1007/s12671-015-0397-4
Braden, B.B., Pipe, T.B., Smith, R., Glaspy, T.K., Deatherage, B.R., & Baxter, L.C. (2016). Brain and Behavior changes associated with an abbreviated 4-week mindfulness-based stress reduction course in back pain patients. //Brain and behavior, 6//(3). https://doi.org/10.1002/brb3.443
Cacciatore, J., Thieleman, K., Osborn, J., & Orlowski, K. (2014). Of the soul and suffering: Mindfulness-based interventions and bereavement. //Clinical Social Work Journal, 42//(3), 269-281. https://doi.org/10.1007/s10615-013-0465-y
Carlson, L.E. (2016). Mindfulness-based interventions for coping with cancer. //Special issue: Advances in meditation research, 1373//, 5-12. https://doi.org/10.1111/nyas.13029
Chacko, S.A., Yeh, G.Y., Davis, R.B., & Wee, C.C. (2016). A mindfulness-based intervention to control weight after bariatric surgery: Preliminary results from a randomized controlled pilot trial. //Complementary Therapies in Medicine, 28//, 13-21. https://doi.org/10.1016/j.ctim.2016.07.001
Chadi, N., McMahon, A., Vadnais, M., Malboeuf-Hurtubise, C., Djemli, A., Dobkin, P.L., ... & Haley, N. (2016). Mindfulness-based intervention for female adolescents with chronic pain: A pilot randomized trial. //Journal of the Canadian Academy of Child and Adolescent Psychiatry, 25//(3), 159-168. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130089/
Daly, P., Pace, T., Berg, J., Menon, U., & Szalacha, L.A. (2016). A mindful eating intervention: A theory-guided randomized anti-obesity feasibility study with adolescent Latino females. //Complementary Therapies in Medicine, 28//, 22-28. https://doi.org/10.1016/j.ctim.2016.07.006
Day, M.A., Jensen, M.P., Ehde, D.M., & Thorn, B.E. (2014). Toward a theoretical model for mindfulness-based pain management. //Journal of Pain, 15//(7), 691-703. https://doi.org/10.1016/j.jpain.2014.03.003
de Vibe, M., Solhaug, I., Tyssen, R., Friborg, O., Rosenvinge, J.H., Sorlie, T., ... & Bjorndal, A. (2013). Mindfulness training for stress management: A randomised controlled study of medical and psychology students. //BMC Medical Education, 13//. https://doi.org/10.1186/1472-6920-13-107
de Zoysa, P. (2016). When east meets west: Reflections on the use of Buddhist mindfulness practice in mindfulness-based interventions. //Mental Health Religion & Culture, 19//(4), 362-370. https://doi.org/10.1080/13674676.2016.1200542
Demarzo, M., Montero-Marin, J., Puebla-Guedea, M., Navarro-Gil, M., Herrera-Mercadal, P., Moreno-Gonzalez, S., ... & Garcia-Campayo, J. (2017). Efficacy of 8-and 4-session mindfulness-based interventions in a non-clinical population: A controlled study. //Frontiers in Psychology, 8//, 1343. https://doi.org/10.3389/fpsyg.2017.01343
Demarzo, M.M.P., Cebolla, A., & Garcia-Campayo, J. (2015). The implementation of mindfulness in healthcare systems: A theoretical analysis. //General Hospital Psychiatry, 37//(2), 166-171. https://doi.org/10.1016/j.genhosppsych.2014.11.013
Demarzo, M.M.P., Montero-Marin, J., Stein, P.K., Cebolla, A., Provinciale, J.G., & Garcia-Campayo, J. (2014). Mindfulness may both moderate and mediate the effect of physical fitness on cardiovascular responses to stress: A speculative hypothesis. //Frontiers in Physiology, 5//, 105. https://doi.org/10.3389/fphys.2014.00105
Dimidjian, S., & Segal, Z.V. (2015). Prospects for a clinical science of mindfulness-based intervention. //American Psychologist, 70//(7), 593-620. https://doi.org/10.1037/a0039589
Dreger, L.C., Mackenzie, C., & McLeod, B. (2015). Acceptability and suitability of mindfulness training for diabetes management in an indigenous community. //Mindfulness, 6//(4),885–898.
Duarte, J., & Pinto-Gouveia, J. (2017). Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. //Journal of Contextual Behavioral Science, 6//(2), 125-133. https://doi.org/10.1016/j.jcbs.2017.03.002
Edwards, R.T., Bryning, L., & Crane, R. (2015). Design of economic evaluations of mindfulness-based interventions: Ten methodological questions of which to be mindful. //Mindfulness, 6//(3), 490-500. https://doi.org/10.1007/s12671-014-0282-6
Evans, A., Crane, R., Cooper, L., Mardula, J., Wilks, J., Surawy, C., ... & Kuyken, W. (2015). A framework for supervision for mindfulness-based teachers: A space for embodied mutual inquiry. //Mindfulness, 6//(3), 572-581. https://doi.org/10.1007/s12671-014-0292-4
Felver, J.C., Celis-de Hoyos, C.E., Tezanos, K., & Singh, N.N. (2016). A systematic review of mindfulness-based interventions for youth in school settings. //Mindfulness, 7//(1), 34-45. https://doi.org/10.1007/s12671-015-0389-4
Garland, E.L., Kiken, L.G., Faurot, K., Palsson, O., & Gaylord, S.A. (2017). Upward spirals of mindfulness and reappraisal: Testing the mindfulness-to-meaning theory with autoregressive latent trajectory modeling. //Cognitive Therapy and Research, 41//(3), 381-392. https://doi.org/10.1007/s10608-016-9768-y
Grabovac, A. (2015). The stages of insight: Clinical relevance for mindfulness-based interventions. //Mindfulness, 6//(3), 589-600. https://doi.org/10.1007/s12671-014-0294-2
Grossman, P., Kappos, L., Gensicke, H., D'Souza, M., Mohr, D.C., Penner, I.K., ... & Steiner, C. (2010). Ms quality of life, depression, and fatigue improve after mindfulness training a randomized trial. //Neurology, 75//(13), 1141-1149. https://doi.org/10.1212/WNL.0b013e3181f4d80d
Grossman, P., Zwahlen, D., Halter, J.P., Passweg, J.R., Steiner, C., & Kiss, A. (2015). A mindfulness-based program for improving quality of life among hematopoietic stem cell transplantation survivors: Feasibility and preliminary findings. //Supportive Care in Cancer, 23//(4), 1105-1112. https://doi.org/10.1007/s00520-014-2452-4
Gu, J., Strauss, C., Crane, C., Barnhofer, T., Karl, A., Cavanagh, K., ... & Kuyken, W. (2016). Examining the factor structure of the 39-item and 15-item versions of the five facet mindfulness questionnaire before and after mindfulness-based cognitive therapy for people with recurrent depression. //Psychological Assessment, 28//(7), 791-802. https://doi.org/10.1037/pas0000263
Hofmann, S.G., Sawyer, A.T., Witt, A.A., & Oh, D. (2010). The effect of mindfulness-based therapy on anxiety and depression: A meta-analytic review. //Journal of Consulting and Clinical Psychology, 78//(2), 169-183. https://doi.org/10.1037/a0018555
Huang, S.L., Li, R.H., Huang, F.Y., & Tang, F.C. (2015). The potential for mindfulness-based intervention in workplace mental health promotion: Results of a randomized controlled trial. //PLOS ONE, 10//(9). https://doi.org/10.1371/journal.pone.0138089
Jones, P., Blunda, M., Biegel, G., Carlson, L.E., Biel, M., & Wiener, L. (2013). Can mindfulness-based interventions help adolescents with cancer?. //Psycho-Oncology, 22//(9), 2148-2151. https://doi.org/10.1002/pon.3251
Josefsson, T., Lindwall, M., & Broberg, A.G. (2014). The effects of a short-term mindfulness based intervention on self-reported mindfulness, decentering, executive attention, psychological health, and coping style: Examining unique mindfulness effects and mediators. //Mindfulness, 5//(1), 18-35. https://doi.org/10.1007/s12671-012-0142-1
Kanen, J.W., Nazir, R., Sedky, K., & Pradhan, B.K. (2015). The effects of mindfulness-based interventions on sleep disturbance: A meta-analysis. //Adolescent Psychiatry, 5//(2), 105-115. https://doi.org/10.2174/2210676605666150311222928
Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., ... & Hofmann, S.G. (2013). Mindfulness-based therapy: A comprehensive meta-analysis. //Clinical Psychology Review, 33//(6), 763-771. https://doi.org/10.1016/j.cpr.2013.05.005
Klatt, M., Norre, C., Reader, B., Yodice, L., & White, S. (2017). Mindfulness in motion: A mindfulness-based intervention to reduce stress and enhance quality of sleep in scandinavian employees. //Mindfulness, 8//(2), 481-488. https://doi.org/10.1007/s12671-016-0621-x
Klatt, M., Steinberg, B., & Duchemin, A.M. (2015). Mindfulness in motion (MIM): An onsite mindfulness based intervention (MBI) for chronically high stress work environments to increase resiliency and work engagement. //JoVE: Journal of Visualized Experiments, NA//(101). https://doi.org/10.3791/52359
Klingbeil, D.A., Fischer, A.J., Renshaw, T.L., Bloomfield, B.S., Polakoff, B., Willenbrink, J.B., ... & Chan, K.T. (2017). Effects of mindfulness-based interventions on disruptive behavior: A meta-analysis of single-case research. //Psychology in the Schools, 54//(1), 70-87. https://doi.org/10.1002/pits.21982
Klingbeil, D.A., Renshaw, T.L., Willenbrink, J.B., Copek, R.A., Chan, K.T., Haddock, A., ... & Clifton, J. (2017). Mindfulness-based interventions with youth: A comprehensive meta-analysis of group-design studies. //Journal of School Psychology, 63//, 77-103. https://doi.org/10.1016/j.jsp.2017.03.006
Knight, M., Pultinas, D., Collins, S., Sellig, C., Freeman, D.C., Strimaitis, C., ... & Silver, R.R. (2014). Teaching mindfulness on an inpatient psychiatric unit. //Mindfulness, 5//(3), 259-267. https://doi.org/10.1007/s12671-012-0175-5
L'Estrange, K., Timulak, L., Kinsella, L., & D'Alton, P. (2016). Experiences of changes in self-compassion following mindfulness-based intervention with a cancer population. //Mindfulness, 7//(3), 734-744. https://doi.org/10.1007/s12671-016-0513-0
Lacaille, J., Sadikaj, G., Nishioka, M., Flanders, J., & Knauper, B. (2015). Measuring mindful responding in daily life: Validation of the daily mindful responding scale (dmrs). //Mindfulness, 6//(6),1422-1436. https://doi.org/10.1007/s12671-015-0416-5
Larouche, E., Hudon, C., & Goulet, S. (2015). Potential benefits of mindfulness-based interventions in mild cognitive impairment and alzheimer's disease: An interdisciplinary perspective. //Behavioural Brain Research, 276//, 199-212. https://doi.org/10.1016/j.bbr.2014.05.058
Lee, D.H., Park, H.Y., Lee, U.S., Lee, K.J., Noh, E.C., Jang, J.H., ... & Kang, D.H. (2015). The effects of brain wave vibration on oxidative stress response and psychological symptoms. //Comprehensive Psychiatry, 60//, 99-104. https://doi.org/10.1016/j.comppsych.2015.03.003
Lopez-Navarro, E., Del Canto, C., Belber, M., Mayol, A., Fernandez-Alonso, O., Lluis, J., ... & Chadwick, P. (2015). Mindfulness improves psychological quality of life in community-based patients with severe mental health problems: A pilot randomized clinical trial. //Schizophrenia Research, 168//(42737), 530-536 . https://doi.org/10.1016/j.schres.2015.08.016
Malboeuf-Hurtubise, C., Achille, M., Muise, L., Beauregard-Lacroix, R., Vadnais, M., & Lacourse, E. (2016). A mindfulness-based meditation pilot study: Lessons learned on acceptability and feasibility in adolescents with cancer. //Journal of Child and Family Studies, 25//(4), 1168-1177. https://doi.org/10.1007/s10826-015-0299-z
Monteiro, L.M., Musten, R.F., & Compson, J. (2015). Traditional and contemporary mindfulness: Finding the middle path in the tangle of concerns. //Mindfulness, 6//(1), 1-13. https://doi.org/10.1007/s12671-014-0301-7
O'Connor, M., Piet, J., & Hougaard, E. (2014). The effects of mindfulness-based cognitive therapy on depressive symptoms in elderly bereaved people with loss-related distress: A controlled pilot study. //Mindfulness, 5//(4), 400-409. https://doi.org/10.1007/s12671-013-0194-x
Ozen, L.J., Dubois, S., Gibbons, C., Short, M.M., Maxwell, H., & Bedard, M. (2016). Mindfulness interventions improve depression symptoms after traumatic brain injury: Are individual changes clinically significant?. //Mindfulness, 7//(6), 1356-1364. https://doi.org/10.1007/s12671-016-0577-x
Pickut, B., Vanneste, S., Hirsch, M.A., Van Hecke, W., Kerckhofs, E., Marien, P., ... & Cras, P. (2015). Mindfulness training among individuals with parkinson's disease: Neurobehavioral effects. //Parkinsons Disease, NA//. https://doi.org/10.1155/2015/816404
Rayan, A., & Ahmad, M. (2016). Effectiveness of mindfulness-based interventions on quality of life and positive reappraisal coping among parents of children with autism spectrum disorder. //Research in Developmental Disabilities, 55//, 185-196. https://doi.org/10.1016/j.ridd.2016.04.002
Ricarte, J.J., Ros, L., Latorre, J.M., & Beltran, M.T. (2015). Mindfulness-based intervention in a rural primary school: Effects on attention, concentration and mood. //International Journal of Cognitive Therapy, 8//(3), 258-270. https://doi.org/10.1521/ijct_2015_8_03
Rodriguez-Carvajal, R., Garcia-Rubio, C., Paniagua, D., Garcia-Diex, G., & de Rivas, S. (2016). Mindfulness integrative model (MIM): Cultivating positive states of mind towards oneself and the others through mindfulness and self-compassion. //Anales de Psicologia, 32//(3), 749-760. https://doi.org/10.6018/analesps.32.3.261681
Salmoirago-Blotcher, E., Carmody, J., Yeh, G., Crawford, S., Rosenthal, L., & Ockene, I. (2012). Design and methods for a pilot study of a phone-delivered, mindfulness-based intervention in patients with implantable cardioverter defibrillators. //Evidence-based Complementary and Alternative Medicine, NA//. https://doi.org/10.1155/2012/972106
Sanada, K., Diez, M.A., Valero, M.S., Perez-Yus, M.C., Demarzo, M.M.P., Montero-Marin, J., ... & Garcia-Campayo, J. (2017). Effects of mindfulness-based interventions on biomarkers in healthy and cancer populations: A systematic review. //BMC Complementary and Alternative Medicine, 17//. https://doi.org/10.1186/s12906-017-1638-y
Sanada, K., Montero-Marin, J., Diez, M.A., Salas-Valero, M., Perez-Yus, M.C., Morillo, H., ... & Garcia-Campayo, J. (2016). Effects of mindfulness-based interventions on salivary cortisol in healthy adults: A meta-analytical review. //Frontiers in Physiology, 7//, 171. https://doi.org/10.3359/fphys.2016.00/171
Schmidt, A.T. (2016). The ethics and politics of mindfulness-based interventions. //Journal of Medical Ethics, 42//(7), 450-454. https://doi.org/10.1136/medethics-2015-102942
Smart, C.M., Segalowitz, S.J., Mulligan, B.P., Koudys, J., & Gawryluk, J.R. (2016). Mindfulness training for older adults with subjective cognitive decline: Results from a pilot randomized controlled trial. //Journal of Alzheimers Disease, 52//(2), 757-774. https://doi.org/10.3233/JAD-150992
Strauss, C., Cavanagh, K., Oliver, A., & Pettman, D. (2014). Mindfulness-based interventions for people diagnosed with a current episode of an anxiety or depressive disorder: A meta-analysis of randomised controlled trials. //PLOS ONE, 9//(4). https://doi.org/10.1371/journal.pone.0096110
Taylor, C., Harrison, J., Haimovitz, K., Oberle, E., Thomson, K., Schonert-Reichl, K., ... & Roeser, R.W. (2016). Examining ways that a mindfulness-based intervention reduces stress in public school teachers: A mixed-methods study. //Mindfulness, 7//(1), 115-129. https://doi.org/10.1007/s12671-015-0425-4
Toivonen, K.I., Zernicke, K., & Carlson, L.E. (2017). Web-based mindfulness interventions for people with physical health conditions: Systematic review. //Journal of Medical Internet Research, 19//(8). https://doi.org/10.2196/jmir.7487
Tong, A.C.Y., Lin, J.J.X., Cheung, V.Y.K., Lau, N.K.M., Chang, W.C., Chan, S.K., ... & Chen, E.Y.H. (2016). A low-intensity mindfulness-based intervention for mood symptoms in people with early psychosis: Development and pilot evaluation. //Clinical Psychology & Psychotherapy, 23//(6), 550-560. https://doi.org/10.1002/cpp.1981
Van Dam, N.T., Sheppard, S.C., Forsyth, J.P., & Earleywine, M. (2011). Self-compassion is a better predictor than mindfulness of symptom severity and quality of life in mixed anxiety and depression. //Journal of Anxiety Disorders, 25//(1), 123-130. https://doi.org/10.1016/j.janxdis.2010.08.011
Van der Gucht, K., Takano, K., Labarque, V., Vandenabeele, K., Nolf, N., Kuylen, S., ... & Raes, F. (2017). A mindfulness-based intervention for adolescents and young adults after cancer treatment: Effects on quality of life, emotional distress, and cognitive vulnerability. //Journal of Adolescent and Young Adult Oncology, 6//(2), 307-317. https://doi.org/10.1089/jayao.2016.0070
van der Gucht, K., Takano, K., Van Broeck, N., & Raes, F. (2015). A mindfulness-based intervention for economically disadvantaged people: Effects on symptoms of stress, anxiety, and depression and on cognitive reactivity and overgeneralization. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0353-8
van Ginneken, W.F., Poolton, J.M., Masters, R.S.W., Capio, C.M., Kal, E.C., & van der Kamp, J. (2017). Comparing the effects of conscious monitoring and conscious control on motor performance. //Psychology of Sport and Exercise, 30//, 145-152. https://doi.org/10.1016/j.psychsport.2017.03.001
Van Gordon, W., Shonin, E., Zangeneh, M., & Griffiths, M. (2014). Work-related mental health and job performance: Can mindfulness help?. //International Journal of Mental Health and Addiction, 12//(2), 129-137. https://doi.org/10.1007/s11469-014-9484-3
Virgili, M. (2015). Mindfulness-based interventions reduce psychological distress in working adults: A meta-analysis of intervention studies. //Mindfulness, 6//(2), 326-337. https://doi.org/10.1007/s12671-013-0264-0
Visted, E., Vollestad, J., Nielsen, M.B., & Nielsen, G.H. (2015). The impact of group-based mindfulness training on self-reported mindfulness: A systematic review and meta-analysis. //Mindfulness, 6//(3), 501-522. https://doi.org/10.1007/s12671-014-0283-5
Walsh, E., Eisenlohr-Moul, T., & Baer, R. (2016). Brief mindfulness training reduces salivary IL-6 and TNF-a in young women with depressive symptomatology. //Journal of Consulting and Clinical Psychology, 84//(10), 887-897. https://doi.org/10.1037/ccp0000122
Whitesman, S., & Mash, R. (2015). Examining the effects of a mindfulness-based professional training module on mindfulness, perceived stress, self-compassion and self-determination. //African Journal of Health Professions Education, 7//(2), 220-223. https://doi.org/10.7196/AJHPE.460
Whitesman, S., & Mash, R. (2016). Examining the effects of a mindfulness-based distance learning professional training module on personal and professional functioning: A qualitative study. //BMC Medical Education, 16//. https://doi.org/10.1186/s12909-016-0810-2
Williams, H., Silva, S., Simmons, L.A., & Tanabe, P. (2017). A telephonic mindfulness-based intervention for persons with sickle cell disease: Study protocol for a randomized controlled trial. //Trials, 18//. https://doi.org/10.1186/s13063-017-1948-x
Aherne, D., Farrant, K., Hickey, L., Hickey, E., McGrath, L., & McGrath, D. (2016). Mindfulness based stress reduction for medical students: Optimising student satisfaction and engagement. //BMC Medical Education, 16//, 209. https://doi.org/10.1186/s12909-016-0728-8
Ali, A., Weiss, T.R., Dutton, A., McKee, D., Jones, K.D., Kashikar-Zuck, S., ... & Shapiro, E.D. (2017). Mindfulness-based stress reduction for adolescents with functional somatic syndromes: A pilot cohort study. //Journal of Pediatrics, 183//, 184-190. https://doi.org/10.1016/j.jpeds.2016.12.053
Altschuler, A., Rosenbaum, E., Gordon, P., Canales, S., & Avins, A.L. (2012). Audio recordings of mindfulness-based stress reduction training to improve cancer patients' mood and quality of life-a pilot feasibility study. //Supportive Care in Cancer, 20//(6), 1291-1297. https://doi.org/10.1007/s00520-011-1216-7
Andersen, S.R., Wurtzen, H., Steding-Jessen, M., Christensen, J., Andersen, K.K., Flyger, H., ... & Dalton, S.O. (2013). Effect of mindfulness-based stress reduction on sleep quality: Results of a randomized trial among danish breast cancer patients. //Acta Oncologica, 52//(2), 336-344. https://doi.org/10.3109/0284186X.2012.745948
Anderson, N.D., Lau, M.A., Segal, Z.V., & Bishop, S.R. (2007). Mindfulness-based stress reduction and attentional control. //Clinical Psychology & Psychotherapy, 14//(6), 449-463. https://doi.org/10.1002/cpp.544
Arch, J.J., & Ayers, C.R. (2013). Which treatment worked better for whom? moderators of group cognitive behavioral therapy versus adapted mindfulness based stress reduction for anxiety disorders. //Behaviour Research and Therapy, 51//(8), 434-442. https://doi.org/10.1016/j.brat.2013.04.004
Arch, J.J., Ayers, C.R., Baker, A., Almklov, E., Dean, D.J., & Craske, M.G. (2013). Randomized clinical trial of adapted mindfulness-based stress reduction versus group cognitive behavioral therapy for heterogeneous anxiety disorders. //Behaviour Research and Therapy, 51//(4-5), 185-196. https://doi.org/10.1016/j.brat.2013.01.003
Ardito, R.B., Pirro, P.S., Re, T.S., Bonapace, I., Menardo, V., Bruno, E., ... & Gianotti, L. (2017). Mindfulness-based stress reduction program on chronic low-back pain: A study investigating the impact on endocrine, physical, and psychologic functioning. //Journal of Alternative and Complementary Medicine, 23//(8), 615-623. https://doi.org/10.1089/acm.2016.0423
Arefnasab, Z., Babamahmoodi, A., Babamahmoodi, F., Noorbala, A.A., Alipour, A., Panahi, Y., ... & Ghanei, M. (2016). Mindfulness-based stress reduction (MBSR) and its effects on psychoimmunological factors of chemically pulmonary injured veterans. //Iranian Journal of Allergy Asthma and Immunology, 15//(6), 476-486.
Arefnasab, Z., Ghanei, M., Noorbala, A.A., Ali-Pour, A., Babamahmoodi, F., Babamahmoodi, A., ... & Salehi, M. (2013). Effect of mindfulness based stress reduction on quality of life (SF-36) and spirometry parameters, in chemically pulmonary injured veterans. //Iranian Journal of Public Health, 42//(9), 1026-1033.
Asl, N.R.H., & Hosseinalipour, F. (2014). Effectiveness of mindfulness-based stress reduction intervention for health-related quality of life in drug-dependent males. //Iranian Red Crescent Medical Journal, 16//(9), e12608. https://doi.org/10.5812/ircmj.12608
Azulay, J., Smart, C.M., Mott, T., & Cicerone, K.D. (2013). A pilot study examining the effect of mindfulness-based stress reduction on symptoms of chronic mild traumatic brain injury/postconcussive syndrome. //Journal of Head Trauma Rehabilitation, 28//(4), 323-331. https://doi.org/10.1097/HTR.0b013e318250ebda
Bablas, V., Yap, K., Cunnington, D., Swieca, J., & Greenwood, K.M. (2016). Mindfulness-based stress reduction for restless legs syndrome: A proof of concept trial. //Mindfulness, 7//(2), 396-408. https://doi.org/10.1007/s12671-015-0457-9
Baer, R.A., Carmody, J., & Hunsinger, M. (2012). Weekly change in mindfulness and perceived stress in a mindfulness-based stress reduction program. //Journal of Clinical Psychology, 68//(7), 755-765. https://doi.org/10.1002/jclp.21865
Bajaj, J.S., Ellwood, M., Ainger, T., Burroughs, T., Fagan, A., Gavis, E.A., ... & Wade, J.B. (2017). Mindfulness-based stress reduction therapy improves patient and caregiver-reported outcomes in cirrhosis. //Clinical and Translational Gastroenterology, 8//, e108. https://doi.org/10.1038/ctg.2017.38
Baker, J., Costa, D., Guarino, J.M., & Nygaard, I. (2014). Comparison of mindfulness-based stress reduction versus yoga on urinary urge incontinence: A randomized pilot study. with 6-month and 1-year follow-up visits. //Female Pelvic Medicine and Reconstructive Surgery, 20//(3), 141-146. https://doi.org/10.1097/SPV.0000000000000061
Barkan, T., Hoerger, M., Gallegos, A.M., Turiano, N.A., Duberstein, P.R., & Moynihan, J.A. (2016). Personality predicts utilization of mindfulness-based stress reduction during and post-intervention in a community sample of older adults. //Journal of Alternative and Complementary Medicine, 22//(5), 390-395. https://doi.org/10.1089/acm.2015.0177
Bazzano, A., Wolfe, C., Zylowska, L., Wang, S., Schuster, E., Barrett, C., ... & Lehrer, D. (2015). Mindfulness based stress reduction (MBSR) for parents and caregivers of individuals with developmental disabilities: A community-based approach. //Journal of Child and Family Studies, 24//(2), 298-308. https://doi.org/10.1007/s10826-013-9836-9
Bennett, K., & Dorjee, D. (2016). The impact of a mindfulness-based stress reduction course (MBSR) on well-being and academic attainment of sixth-form students. //Mindfulness, 7//(1), 105-114. https://doi.org/10.1007/s12671-015-0430-7
Bergen-Cico, D., Possemato, K., & Cheon, S. (2013). Examining the efficacy of a brief mindfulness-based stress reduction (brief MBSR) program on psychological health. //Journal of American College Health, 61//(6), 348-360. https://doi.org/10.1080/07448481.2013.813853
Biegel, G.M., Brown, K.W., Shapiro, S.L., & Schubert, C.A. (2009). Mindfulness-based stress reduction for the treatment of adolescent psychiatric outpatients: A randomized clinical trial. //Journal of Consulting and Clinical Psychology, 77//(5), 855-866. https://doi.org/10.1037/a0016241
Birnie, K., Garland, S.N., & Carlson, L.E. (2010). Psychological benefits for cancer patients and their partners participating in mindfulness-based stress reduction (MBSR). //Psycho-Oncology, 19//(9), 1004-1009. https://doi.org/10.1002/pon.1651
Birnie, K., Speca, M., & Carlson, L.E. (2010). Exploring self-compassion and empathy in the context of mindfulness-based stress reduction (MBSR). //Stress and Health, 26//(5), 359-371. https://doi.org/10.1002/smi.1305
Bishop, S.R. (2002). What do we really know about mindfulness-based stress reduction?. //Psychosomatic Medicine, 64//(1), 71-83. http://psycnet.apa.org/doi/10.1097/00006842-200201000-00010
Bisseling, E.M., Schellekens, M.P.J., Jansen, E.T.M., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2017). Mindfulness-based stress reduction for breast cancer patients: A mixed method study on what patients experience as a suitable stage to participate. //Supportive Care in Cancer, 25//(10), 3067-3074. https://doi.org/10.1007/s00520-017-3714-8
Blankespoor, R.J., Schellekens, M.P.J., Vos, S.H., Speckens, A.E.M., & de Jong, B.A. (2017). The effectiveness of mindfulness-based stress reduction on psychological distress and cognitive functioning in patients with multiple sclerosis: A pilot study. //Mindfulness, 8//(5), 1251-1258. https://doi.org/10.1007/s12671-017-0701-6
Blom, K., Baker, B., How, M., Dai, M., Irvine, J., Abbey, S., ... & Tobe, S.W. (2014). Hypertension analysis of stress reduction using mindfulness meditation and yoga: Results from the harmony randomized controlled trial. //American Journal of Hypertension, 27//(1), 122-129. https://doi.org/10.1093/ajh/hpt134
Bohlmeijer, E., Prenger, R., Taal, E., & Cuijpers, P. (2010). The effects of mindfulness-based stress reduction therapy on mental health of adults with a chronic medical disease: A meta-analysis. //Journal of Psychosomatic Research, 68//(6), 539-544. https://doi.org/10.1016/j.jpsychores.2009.10.005
Braden, B.B., Pipe, T.B., Smith, R., Glaspy, T.K., Deatherage, B.R., & Baxter, L.C. (2016). Brain and Behavior changes associated with an abbreviated 4-week mindfulness-based stress reduction course in back pain patients. //Brain and behavior, 6//(3), e00443. https://doi.org/10.1002/brb3.443
Brady, S., O'Connor, N., Burgermeister, D., & Hanson, P. (2012). The impact of mindfulness meditation in promoting a culture of safety on an acute psychiatric unit. //Perspectives in Psychiatric Care, 48//(3), 129-137. https://doi.org/10.1111/j.1744-6163.2011.00315.x
Brand, S., Holsboer-Trachsler, E., Naranjo, J.R., & Schmidt, S. (2012). Influence of mindfulness practice on cortisol and sleep in long-term and short-term meditators. //Neuropsychobiology, 65//(3), 109-118. https://doi.org/10.1159/000330362
Branstrom, R., Kvillemo, P., & Akerstedt, T. (2013). Effects of mindfulness training on levels of cortisol in cancer patients. //Psychosomatics, 54//(2), 158-164. https://doi.org/10.1016/j.psym.2012.04.007
Bremner, J.D., Mishra, S., Campanella, C., Shah, M., Kasher, N., Evans, S., ... & Carmody, J. (2017). A pilot study of the effects of mindfulness-based stress reduction on post-traumatic stress disorder symptoms and brain response to traumatic reminders of combat in operation enduring freedom/operation Iraqi freedom combat veterans with post-traumatic stress disorder. //Frontiers in Psychiatry, 8//, 157. https://doi.org/10.3389/fpsyt.2017.00157
Brown, K.W., Coogle, C.L., & Wegelin, J. (2016). A pilot randomized controlled trial of mindfulness-based stress reduction for caregivers of family members with dementia. //Aging & Mental Health, 20//(11), 1157-1166. https://doi.org/10.1080/13607863.2015.1065790
Call, D., Miron, L., & Orcutt, H. (2014). Effectiveness of brief mindfulness techniques in reducing symptoms of anxiety and stress. //Mindfulness, 5//(6), 658-668. https://doi.org/10.1007/s12671-013-0218-6
Campbell, T.S., Labelle, L.E., Bacon, S.L., Faris, P., & Carlson, L.E. (2012). Impact of mindfulness-based stress reduction (MBSR) on attention, rumination and resting blood pressure in women with cancer: A waitlist-controlled study. //Journal of Behavioral Medicine, 35//(3), 262-271. https://doi.org/10.1007/s10865-011-9357-1
Carlson, L.E., Speca, M., Faris, P., & Patel, K.D. (2007). One year pre-post intervention follow-up of psychological, immune, endocrine and blood pressure outcomes of mindfulness-based stress reduction (MBSR) in breast and prostate cancer outpatients. //Brain Behavior and Immunity, 21//(8), 1038-1049. https://doi.org/10.1016/j.bbi.2007.04.002
Carmody, J., & Baer, R.A. (2009). How long does a mindfulness-based stress reduction program need to be? A review of class contact hours and effect sizes for psychological distress. //Journal of Clinical Psychology, 65//(6), 627-638. https://doi.org/10.1002/jclp.20555
Carmody, J., Crawford, S., & Churchill, L. (2006). A pilot study of mindfulness-based stress reduction for hot flashes. //Menopause: The Journal of the North American Menopause Society, 13//(5), 760-769. https://doi.org/10.1097/01.gme.0000227402.98933.d0
Carmody, J., Reed, G., Kristeller, J., & Merriam, P. (2008). Mindfulness, spirituality, and health-related symptoms. //Journal of Psychosomatic Research, 64//(4), 393-403. https://doi.org/10.1016/j.jpsychores.2007.06.015
Carmody, J.F., Crawford, S., Salmoirago-Blotcher, E., Leung, K., Churchill, L., & Olendzki, N. (2011). Mindfulness training for coping with hot flashes: Results of a randomized trial. //Menopause: The Journal of the North American Menopause Society, 18//(6), 611-620. https://doi.org/10.1097/gme.0b013e318204a05c
Carroll, D., Lange, B., Liehr, P., Raines, S., & Marcus, M.T. (2008). Evaluating mindfulness-based stress reduction: Analyzing stories of stress to formulate focus group questions. //Archives of Psychiatric Nursing, 22//(2), 107-109. https://doi.org/10.1016/j.apnu.2007.12.004
Cash, E., Salmon, P., Weissbecker, I., Rebholz, W.N., Bayley-Veloso, R., Zimmaro, L.A., ... & Sephton, S.E. (2015). Mindfulness meditation alleviates fibromyalgia symptoms in women: Results of a randomized clinical trial. //Annals of Behavioral Medicine, 49//(3), 319-330. https://doi.org/10.1007/s12160-014-9665-0
Chang, V.Y., Palesh, O., Caldwell, R., Glasgow, N., Abramson, M., Luskin, F., ... & Koopman, C. (2004). The effects of a mindfulness-based stress reduction program on stress, mindfulness self-efficacy, and positive states of mind. //Stress and Health, 20//(3), 141-147. https://doi.org/10.1002/smi.1011
Chen, Y.Q., Yang, H., Liu, L.X., & Fang, R.L. (2017). Effects of mindfulness-based stress reduction on the anxiety, depression and quality of life of patients with intrauterine adhesion: A randomized controlled trial. //International Journal of Clinical and Experimental Medicine, 10//(2), 2296-2305.
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Cook, A.J., Anderson, M.L., Hawkes, R.J., ... & Turner, J.A. (2016). Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain a randomized clinical trial. //JAMA: Journal of the American Medical Association, 315//(12), 1240-1249. https://doi.org/10.1001/jama.2016.2323
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Turner, J.A., Cook, A.J., Stoelb, B., ... & Hawkes, R.J. (2014). Comparison of complementary and alternative medicine with conventional mind-body therapies for chronic back pain: Protocol for the mind-body approaches to pain (MAP) randomized controlled trial. //Trials, 15//, 211. https://doi.org/10.1186/1745-6215-15-211
Cole, M.A., Muir, J.J., Gans, J.J., Shin, L.M., D'Esposito, M., Harel, B.T., ... & Schembri, A. (2015). Simultaneous treatment of neurocognitive and psychiatric symptoms in veterans with post-traumatic stress disorder and history of mild traumatic brain injury: A pilot study of mindfulness-based stress reduction. //Military Medicine, 180//(9), 956–963. https://doi.org/10.7205/MILMED-D-14-00581
Colgan, D.D., Christopher, M., Michael, P., & Wahbeh, H. (2016). The body scan and mindful breathing among veterans with PTSD: Type of intervention moderates the relationship between changes in mindfulness and post-treatment depression. //Mindfulness, 7//(2), 372-383. https://doi.org/10.1007/s12671-015-0453-0
Corsica, J., Hood, M.M., Katterman, S., Kleinman, B., & Ivan, I. (2014). Development of a novel mindfulness and cognitive behavioral intervention for stress-eating: A comparative pilot study. //Eating Behaviors, 15//(4), 694-699. https://doi.org/10.1016/j.eatbeh.2014.08.002
Crane, R.S., Kuyken, W., Williams, J.M.G., Hastings, R.P., Cooper, L., & Fennell, M.J.V. (2012). Competence in teaching mindfulness-based courses: Concepts, development and assessment. //Mindfulness, 3//(1), 76-84. https://doi.org/10.1007/s12671-011-0073-2
Crane, R.S., Stanley, S., Rooney, M., Bartley, T., Cooper, L., & Mardula, J. (2015). Disciplined improvisation: Characteristics of inquiry in mindfulness-based teaching. //Mindfulness, 6//(5), 1104-1114. https://doi.org/10.1007/s12671-014-0361-8
Creswell, J.D., Irwin, M.R., Burklund, L.J., Lieberman, M.D., Arevalo, J.M.G., Ma, J., ... & Cole, S.W. (2012). Mindfulness-based stress reduction training reduces loneliness and pro-inflammatory gene expression in older adults: A small randomized controlled trial. //Brain Behavior and Immunity, 26//(7), 1095-1101. https://doi.org/10.1016/j.bbi.2012.07.006
Creswell, J.D., Myers, H.F., Cole, S.W., & Irwin, M.R. (2009). Mindfulness meditation training effects on CD4+ T lymphocytes in HIV-1 infected adults: A small randomized controlled trial. //Brain Behavior and Immunity, 23//(2), 184-188. https://doi.org/10.1016/j.bbi.2008.07.004
Crisp, C.D., Hastings-Tolsma, M., & Jonscher, K.R. (2016). Mindfulness-based stress reduction for military women with chronic pelvic pain: A feasibility study. //Military Medicine, 181//(9), 982-989. https://doi.org/10.7205/MILMED-D-15-00354
de Vibe, M., Solhaug, I., Tyssen, R., Friborg, O., Rosenvinge, J.H., Sorlie, T., ... & Bjorndal, A. (2013). Mindfulness training for stress management: A randomised controlled study of medical and psychology students. //BMC Medical Education, 13//, 107. https://doi.org/10.1186/1472-6920-13-107
Del Re, A.C., Fluckiger, C., Goldberg, S.B., & Hoyt, W.T. (2013). Monitoring mindfulness practice quality: An important consideration in mindfulness practice. //Psychotherapy Research, 23//(1), 54-66. https://doi.org/10.1080/10503307.2012.729275
Dobie, A., Tucker, A., Ferrari, M., & Rogers, J.M. (2016). Preliminary evaluation of a brief mindfulness-based stress reduction intervention for mental health professionals. //Australasian Psychiatry, 24//(1), 42-45. https://doi.org/10.1177/1039856215618524
Dobkin, P.L., Bernardi, N.F., & Bagnis, C.I. (2016). Enhancing clinicians' well-being and patient-centered care through mindfulness. //Journal of Continuing Education in the Health Professions, 36//(1), 11-16. https://doi.org/10.1097/CEH.0000000000000021
Dobkin, P.L., Hickman, S., & Monshat, K. (2014). Holding the heart of mindfulness-based stress reduction: Balancing fidelity and imagination when adapting MBSR. //Mindfulness, 5//(6), 710-718. https://doi.org/10.1007/s12671-013-0225-7
Dobkin, P.L., Irving, J.A., & Amar, S. (2012). For whom may participation in a mindfulness-based stress reduction program be contraindicated?. //Mindfulness, 3//(1), 44-50. https://doi.org/10.1007/s12671-011-0079-9
Duncan, L.G., Moskowitz, J.T., Neilands, T.B., Dilworth, S.E., Hecht, F.M., & Johnson, M.O. (2012). Mindfulness-based stress reduction for HIV treatment side effects: A randomized, wait-list controlled trial. //Journal of Pain and symptom management, 43//(2), 161-171. https://doi.org/10.1016/j.jpainsymman.2011.04.007
Dutton, M.A., Bermudez, D., Matas, A., Majid, H., & Myers, N.L. (2013). Mindfulness-based stress reduction for low-income, predominantly African American women with PTSD and a history of intimate partner violence. //Cognitive and Behavioral Practice, 20//(1), 23-32. https://doi.org/10.1016/j.cbpra.2011.08.003
Earley, M.D., Chesney, M.A., Frye, J., Greene, P.A., Berman, B., & Kimbrough, E. (2014). Mindfulness intervention for child abuse survivors: A 2.5-year follow-up. //Journal of Clinical Psychology, 70//(10), 933-941. https://doi.org/10.1002/jclp.22102
Ernst, S., Welke, J., Heintze, C., Gabriel, R., Zollner, A., Kiehne, S., ... & Esch, T. (2008). Effects of mindfulness-based stress reduction on quality of life in nursing home residents: A feasibility study. //Forschende Komplementarmedizin, 15//(2), 74-81. https://doi.org/10.1159/000121479
Erogul, M., Singer, G., McIntyre, T., & Stefanov, D.G. (2014). Abridged mindfulness intervention to support wellness in first-year medical students. //Teaching and Learning in Medicine, 26//(4), 350-356. https://doi.org/10.1080/10401334.2014.945025
Evans, S., Ferrando, S., Carr, C., & Haglin, D. (2011). Mindfulness-based stress reduction (MBSR) and distress in a community-based sample. //Clinical Psychology & Psychotherapy, 18//(6), 553-558. https://doi.org/10.1002/cpp.727
Eyles, C., Leydon, G.M., Hoffman, C.J., Copson, E.R., Prescott, P., Chorozoglou, M., ... & Lewith, G. (2015). Mindfulness for the self-management of fatigue, anxiety, and depression in women with metastatic breast cancer: A mixed methods feasibility study. //Integrative Cancer Therapies, 14//(1), 42-56. https://doi.org/10.1177/1534735414546567
Fang, C.Y., Reibel, D.K., Longacre, M.L., Rosenzweig, S., Campbell, D.E., & Douglas, S.D. (2010). Enhanced psychosocial well-being following participation in a mindfulness-based stress reduction program is associated with increased natural killer cell activity. //Journal of Alternative and Complementary Medicine, 16//(5), 531-538. https://doi.org/10.1089/acm.2009.0018
Faucher, J., Koszycki, D., Bradwejn, J., Merali, Z., & Bielajew, C. (2016). Effects of CBT versus MBSR treatment on social stress reactions in social anxiety disorder. //Mindfulness, 7//(2), 514-526. https://doi.org/10.1007/s12671-015-0486-4
Feliu-Soler, A., Borras, X., Penarrubia-Maria, M.T., Rozadilla-Sacanell, A., D'Amico, F., Moss-Morris, R., ... & Luciano, J.V. (2016). Cost-utility and biological underpinnings of mindfulness-based stress reduction (MBSR) versus a psychoeducational programme (Fibroqol) for fibromyalgia: A 12-month randomised controlled trial (Eudaimon study). //BMC Complementary and Alternative Medicine, 16//, 81. https://doi.org/10.1186/s12906-016-1068-2
Felleman, B.I., Stewart, D.G., Simpson, T.L., Heppner, P.S., & Kearney, D.J. (2016). Predictors of depression and PTSD treatment response among veterans participating in mindfulness-based stress reduction. //Mindfulness, 7//(4), 886-895. https://doi.org/10.1007/s12671-016-0527-7
Frank, J.L., Reibel, D., Broderick, P., Cantrell, T., & Metz, S. (2015). The effectiveness of mindfulness-based stress reduction on educator stress and well-being: Results from a pilot study. //Mindfulness, 6//(2), 208-216. https://doi.org/10.1007/s12671-013-0246-2
Freedenberg, V.A., Hinds, P.S., & Friedmann, E. (2017). Mindfulness-based stress reduction and group support decrease stress in adolescents with cardiac diagnoses: A randomized two-group study. //Pediatric Cardiology, 38//(7), 1415-1425. https://doi.org/10.1007/s00246-017-1679-5
Freedenberg, V.A., Thomas, S.A., & Friedmann, E. (2015). A pilot study of a mindfulness based stress reduction program in adolescents with implantable cardioverter defibrillators or pacemakers. //Pediatric Cardiology, 36//(4), 786-795. https://doi.org/10.1007/s00246-014-1081-5
Frisvold, M.H., Lindquist, R., & McAlpine, C.P. (2012). Living life in the balance at midlife: Lessons learned from mindfulness. //Western Journal of Nursing Research, 34//(2), 265-278. https://doi.org/10.1177/0193945911424171
Fulwiler, C., Siegel, J.A., Allison, J., Rosal, M.C., Brewer, J., & King, J.A. (2016). Keeping weight off: Study protocol of an RCT to investigate brain changes associated with mindfulness-based stress reduction. //BMJ Open, 6//(11), e012573. https://doi.org/10.1136/bmjopen-2016-012573
Gallegos, A.M., Hoerger, M., Talbot, N.L., Krasner, M.S., Knight, J.M., Moynihan, J.A., ... & Duberstein, P.R. (2013). Toward identifying the effects of the specific components of mindfulness-based stress reduction on biologic and emotional outcomes among older adults. //Journal of Alternative and Complementary Medicine, 19//(10), 787-792. https://doi.org/10.1089/acm.2012.0028
Gallegos, A.M., Hoerger, M., Talbot, N.L., Moynihan, J.A., & Duberstein, P.R. (2013). Emotional benefits of mindfulness-based stress reduction in older adults: The moderating roles of age and depressive symptom severity. //Aging & Mental Health, 17//(7), 823-829. https://doi.org/10.1080/13607863.2013.799118
Gao, J.L., Fan, J.C., Wu, B.W.Y., Zhang, Z.G., Chang, C.Q., Hung, Y.S., ... & Sik, H.H. (2016). Entrainment of chaotic activities in brain and heart during MBSR mindfulness training. //Neuroscience Letters, 616//, 218-223. https://doi.org/10.1016/j.neulet.2016.01.001
Garland, S.N., Carlson, L.E., Antle, M.C., Samuels, C., & Campbell, T. (2011). I-can sleep: Rationale and design of a non-inferiority RCT of mindfulness-based stress reduction and cognitive behavioral therapy for the treatment of insomnia in cancer survivors. //Contemporary Clinical Trials, 32//(5), 747-754. https://doi.org/10.1016/j.cct2011.05.014
Garland, S.N., Carlson, L.E., Cook, S., Lansdell, L., & Speca, M. (2007). A non-randomized comparison of mindfulness-based stress reduction and healing arts programs for facilitating post-traumatic growth and spirituality in cancer outpatients. //Supportive Care in Cancer, 15//(8), 949-961. https://doi.org/10.1007/s00520-007-0280-5
Garland, S.N., Carlson, L.E., Stephens, A.J., Antle, M.C., Samuels, C., & Campbell, T.S. (2014). Mindfulness-based stress reduction compared with cognitive behavioral therapy for the treatment of insomnia comorbid with cancer: A randomized, partially blinded, noninferiority trial. //Journal of Clinical Oncology, 32//(5), 449-457. https://doi.org/10.1200/JCO.2012.47.7265
Garland, S.N., Stainken, C., Ahluwalia, K., Vapiwala, N., & Mao, J.J. (2015). Cancer-related search for meaning increases willingness to participate in mindfulness-based stress reduction. //Integrative Cancer Therapies, 14//(3), 231-239. https://doi.org/10.1177/1534735415580682
Garland, S.N., Tamagawa, R., Todd, S.C., Speca, M., & Carlson, L.E. (2013). Increased mindfulness is related to improved stress and mood following participation in a mindfulness-based stress reduction program in individuals with cancer. //Integrative Cancer Therapies, 12//(1), 31-40. https://doi.org/10.1177/1534735412442370
Gawrysiak, M.J., Leong, S.H., Grassetti, S.N., Wai, M., Shorey, R.C., & Baime, M.J. (2016). Dimensions of distress tolerance and the moderating effects on mindfulness-based stress reduction. //Anxiety Stress and Coping, 29//(5), 552-560. https://doi.org/10.1080/10615806.2015.1085513
Gayner, B., Esplen, M.J., DeRoche, P., Wong, J.H., Bishop, S., Kavanagh, L., ... & Butler, K. (2012). A randomized controlled trial of mindfulness-based stress reduction to manage affective symptoms and improve quality of life in gay men living with HIV. //Journal of Behavioral Medicine, 35//(3), 272-285. https://doi.org/10.1007/s10865-011-9350-8
Geary, C., & Rosenthal, S.L. (2011). Sustained impact of MBSR on stress, well-being, and daily spiritual experiences for 1 year in academic health care employees. //Journal of Alternative and Complementary Medicine, 17//(10), 939-944. https://doi.org/10.1089/acm.2010.0335
George, M.C., Wongmek, A., Kaku, M., Nmashie, A., & Robinson-Papp, J. (2017). A mixed-methods pilot study of mindfulness-based stress reduction for HIV-associated chronic pain. //Behavioral Medicine, 43//(2), 108-119. https://doi.org/10.1080/08964289.2015.1107525
Gillespie, B., Davey, M.P., & Flemke, K. (2015). Intimate partners' perspectives on the relational effects of mindfulness-based stress reduction training: A qualitative research study. //Contemporary Family Therapy, 37//(4), 396-407. https://doi.org/10.1007/s10591-015-9350-x
Gold, E., Smith, A., Hopper, I., Herne, D., Tansey, G., & Hulland, C. (2010). Mindfulness-based stress reduction (MBSR) for primary school teachers. //Journal of Child and Family Studies, 19//(2), 184-189. https://doi.org/10.1007/s10826-009-9344-0
Goldberg, S.B., Wielgosz, J., Dahl, C., Schuyler, B., MacCoon, D.S., Rosenkranz, M., ... & Davidson, R.J. (2016). Does the five facet mindfulness questionnaire measure what we think it does? Construct validity evidence from an active controlled randomized clinical trial. //Psychological Assessment, 28//(8), 1009-1014. https://doi.org/10.1037/pas0000233
Goldin, P., Ziv, M., Jazaieri, H., & Gross, H.J. (2012). Randomized controlled trial of mindfulness-based stress reduction versus aerobic exercise: Effects on the self-referential brain network in social anxiety disorder. //Frontiers in Human Neuroscience, 6//, 295. https://doi.org/10.3389/fnhum.2012.00295
Goldin, P., Ziv, M., Jazaieri, H., Hahn, K., & Gross, J.J. (2013). MBSR vs aerobic exercise in social anxiety: fMRI of emotion regulation of negative self-beliefs. //Social Cognitive and Affective Neuroscience, 8//(1), 65-72. https://doi.org/10.1093/scan/nss054
Goldin, P.R., & Gross, J.J. (2010). Effects of mindfulness-based stress reduction (MBSR) on emotion regulation in social anxiety disorder. //Emotion, 10//(1), 83-91. https://doi.org/10.1037/a0018441
Goldin, P.R., Morrison, A., Jazaieri, H., Brozovich, F., Heimberg, R., & Gross, J.J. (2016). Group CBT versus MBSR for social anxiety disorder: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 84//(5), 427-437. https://doi.org/10.1037/ccp0000092
Goldin, P.R., Morrison, A.S., Jazaieri, H., Heimberg, R.G., & Gross, J.J. (2017). Trajectories of social anxiety, cognitive reappraisal, and mindfulness during an RCT of CBGT versus MBSR for social anxiety disorder. //Behaviour Research and Therapy, 97//, 1-13. https://doi.org/10.1016/j.brat.2017.06.001
Gotink, R.A., Chu, P., Busschbach, J.J.V., Benson, H., Fricchione, G.L., & Hunink, M.G.M. (2015). Standardised mindfulness-based interventions in healthcare: An overview of systematic reviews and meta-analyses of rcts. //PLOS ONE, 10//(4), e0124344. https://doi.org/10.1371/journal.pone.0124344
Gouda, S., Luong, M.T., Schmidt, S., & Bauer, J. (2016). Students and teachers benefit from mindfulness-based stress reduction in a school-embedded pilot study. //Frontiers in Psychology, 7//, 590. https://doi.org/10.3389/fpsyg.2016.00590
Greeson, J.M., Smoski, M.J., Suarez, E.C., Brantley, J.G., Ekblad, A.G., Lynch, T.R., ... & Wolever, R.Q. (2015). Decreased symptoms of depression after mindfulness-based stress reduction: Potential moderating effects of religiosity, spirituality, trait mindfulness, sex, and age. //Journal of Alternative and Complementary Medicine, 21//(3), 166-174. https://doi.org/10.1089/acm.2014.0285
Gross, C.R., Kreitzer, M.J., Reilly-Spong, M., Wall, M., Winbush, N.Y., Patterson, R., ... & Cramer-Bornemann, M. (2011). Mindfulness-based stress reduction versus pharmacotherapy for chronic primary insomnia: A randomized controlled clinical trial. //Explore: The Journal of Science and Healing, 7//(2), 76-87. https://doi.org/10.1016/j.explore.2010.12.003
Gross, C.R., Kreitzer, M.J., Russas, V., Treesak, C., Frazier, P.A., & Hertz, M.I. (2004). Mindfulness meditation to reduce symptoms after organ transplant: A pilot study. //Alternative Therapies in Health and Medicine, 10//(3), 58-66.
Gross, C.R., Kreitzer, M.J., Thomas, W., Reilly-Spong, M., Cramer-Bornemann, M., Nyman, J.A., ... & Ibrahim, H.N. (2010). Mindfulness-based stress reduction for solid organ transplant recipients: A randomized controlled trial. //Alternative Therapies in Health and Medicine, 16//(5), 30-38.
Gross, C.R., Kreitzerb, M.J., Reilly-Spong, M., Winbush, N.Y., Schomaker, E.K., & Thomas, W. (2009). Mindfulness meditation training to reduce symptom distress in transplant patients: Rationale, design, and experience with a recycled waitlist. //Clinical Trials, 6//(1), 76-89. https://doi.org/10.1177/1740774508100982
Grossman, P., Deuring, G., Walach, H., Schwarzer, B., & Schmidt, S. (2017). Mindfulness-based intervention does not influence cardiac autonomic control or the pattern of physical activity in fibromyalgia during daily life: An ambulatory, multimeasure randomized controlled trial. //Clinical Journal of Pain, 33//(5), 385-394. https://doi.org/10.1097/AJP.0000000000000420
Grossman, P., Niemann, L., Schmidt, S., & Walach, H. (2004). Mindfulness-based stress reduction and health benefits: A meta-analysis. //Journal of Psychosomatic Research, 57//(1), 35-43. https://doi.org/10.1016/S0022-3999(03)00573-7
Grossman, P., Tiefenthaler-Gilmer, U., Raysz, A., & Kesper, U. (2007). Mindfulness training as an intervention for fibromyalgia: Evidence of postintervention and 3-year follow-up benefits in well-being. //Psychotherapy and Psychosomatics, 76//(4), 226-233. https://doi.org/10.1159/000101501
Hawley, L.L., Schwartz, D., Bieling, P.J., Irving, J., Corcoran, K., Farb, N.A.S., ... & Segal, Z.V. (2014). Mindfulness practice, rumination and clinical outcome in mindfulness-based treatment. //Cognitive Therapy and Research, 38//(1), 1-9. https://doi.org/10.1007/s10608-013-9586-4
Hayney, M.S., Coe, C.L., Muller, D., Obasi, C.N., Backonja, U., Ewers, T., ... & Barrett, B. (2014). Age and psychological influences on immune responses to trivalent inactivated influenza vaccine in the meditation or exercise for preventing acute respiratory infection (MEPARI) trial. //Human Vaccines & Immunotherapeutics, 10//(1), 83-91. https://doi.org/10.4161/hv.26661
Hazlett-Stevens, H. (2012). Mindfulness-based stress reduction for comorbid anxiety and depression case report and clinical considerations. //Journal of Nervous and Mental Disease, 200//(11), 999-1003. https://doi.org/10.1097/NMD.0b013e3182718a61
Hazlett-Stevens, H., & Oren, Y. (2017). Effectiveness of mindfulness-based stress reduction bibliotherapy: A preliminary randomized controlled trial. //Journal of Clinical Psychology, 73//(6), 626-637. https://doi.org/10.1002/jclp.22370
Henderson, V., Clemow, L., Massion, A., Hurley, T., Druker, S., & Hebert, J.R. (2012). The effects of mindfulness-based stress reduction on psychosocial outcomes and quality of life in early-stage breast cancer patients: A randomized trial. //Breast Cancer research and treatment, 131//(1), 99-109. https://doi.org/10.1007/s10549-011-1738-1
Henderson, V.P., Massion, A.O., Clemow, L., Hurley, T.G., Druker, S., & Hebert, J.R. (2013). A randomized controlled trial of mindfulness-based stress reduction for women with early-stage breast cancer receiving radiotherapy. //Integrative Cancer Therapies, 12//(5), 404-413. https://doi.org/10.1177/1534735412473640
Henry, C.L., & Crowley, S.L. (2015). The psychological and physiological effects of using a therapy dog in mindfulness training. //Anthrozoos, 28//(3), 385-401. https://doi.org/10.1080/08927936.2015.1052272
Hick, S.F., & Furlotte, C. (2010). An exploratory study of radical mindfulness training with severely economically disadvantaged people: Findings of a canadian study. //Australian Social Work, 63//(3), 281-298. https://doi.org/10.1080/0312407X.2010.496865
Hjeltnes, A., Molde, H., Schanche, E., Vollestad, J., Svendsen, J.L., Moltu, C., ... & Binder, P.E. (2017). An open trial of mindfulness-based stress reduction for young adults with social anxiety disorder. //Scandinavian Journal of Psychology, 58//(1), 80-90. https://doi.org/10.1111/sjop.12342
Ho, L., Bloom, P.A., Vega, J.G., Yemul, S., Zhao, W., Ward, L., ... & Pasinetti, G.M. (2016). Biomarkers of resilience in stress reduction for caregivers of alzheimer's patients. //Neuromolecular Medicine, 18//(2), 177-189. https://doi.org/10.1007/s12017-016-8388-8
Hoffman, C.J., Ersser, S.J., Hopkinson, J.B., Nicholls, P.G., Harrington, J.E., & Thomas, P.W. (2012). Effectiveness of mindfulness-based stress reduction in mood, breast- and endocrine-related quality of life, and well-being in stage 0 to iii breast cancer: A randomized, controlled trial. //Journal of Clinical Oncology, 30//(12), 1335-1342. https://doi.org/10.1200/JCO.2010.34.0331
Hoge, E.A., Bui, E., Goetter, E., Robinaugh, D.J., Ojserkis, R.A., Fresco, D.M., ... & Simon, N.M. (2015). Change in decentering mediates improvement in anxiety in mindfulness-based stress reduction for generalized anxiety disorder. //Cognitive Therapy and Research, 39//(2), 228-235. https://doi.org/10.1007/s10608-014-9646-4
Hoge, E.A., Bui, E., Marques, L., Metcalf, C.A., Morris, L.K., Robinaugh, D.J., ... & Simon, N.M. (2013). Randomized controlled trial of mindfulness meditation for generalized anxiety disorder: Effects on anxiety and stress reactivity. //Journal of Clinical Psychiatry, 74//(8), 786-792. https://doi.org/10.4088/JCP.12m08083
Hoge, E.A., Guidos, B.M., Mete, M., Bui, E., Pollack, M.H., Simon, N.M., ... & Dutton, M.A. (2017). Effects of mindfulness meditation on occupational functioning and health care utilization in individuals with anxiety. //Journal of Psychosomatic Research, 95//, 7-11. https://doi.org/10.1016/j.jpsychores.2017.01.011
Holzel, B.K., Brunsch, V., Gard, T., Greve, D.N., Koch, K., Sorg, C., ... & Milad, M.R. (2016). Mindfulness-based stress reduction, fear conditioning, and the uncinate fasciculus: A pilot study. //Frontiers in Behavioral Neuroscience, 10//, 124. https://doi.org/10.3389/fnbeh.2016.00124
Holzel, B.K., Carmody, J., Vangel, M., Congleton, C., Yerramsetti, S.M., Gard, T., ... & Lazar, S.W. (2011). Mindfulness practice leads to increases in regional brain gray matter density. //Psychiatry Research-neuroimaging, 191//(1), 36-43. https://doi.org/10.1016/j.pscychresns.2010.08.006
Hou, R.J., Wong, S.Y.S., Yip, B.H.K., Hung, A.T.F., Lo, H.H.M., Chan, P.H.S., ... & Ma, S.H. (2014). The effects of mindfulness-based stress reduction program on the mental health of family caregivers: A randomized controlled trial. //Psychotherapy and Psychosomatics, 83//(1), 45-53. https://doi.org/10.1159/000353278
Huang, H.P., He, M., Wang, H.Y., & Zhou, M.J. (2016). A meta-analysis of the benefits of mindfulness-based stress reduction (MBSR) on psychological function among breast cancer (BC) survivors. //Breast Cancer, 23//(4), 568-576. https://doi.org/10.1007/s12282-015-0604-0
Huang, J.Y., & Shi, L. (2016). The effectiveness of mindfulness-based stress reduction (MBSR) for survivors of breast cancer: Study protocol for a randomized controlled trial. //Trials, 17//, 209. https://doi.org/10.1186/s13063-016-1335-z
Hubbling, A., Reilly-Spong, M., Kreitzer, M.J., & Gross, C.R. (2014). How mindfulness changed my sleep: Focus groups with chronic insomnia patients. //BMC Complementary and Alternative Medicine, 14//, 50. https://doi.org/10.1186/1472-6882-14-50
Hughes, J.W., Fresco, D.M., Myerscough, R., van Dulmen, M.H.M., Carlson, L.E., & Josephson, R. (2013). Randomized controlled trial of mindfulness-based stress reduction for prehypertension. //Psychosomatic Medicine, 75//(8), 721-728. https://doi.org/10.1097/PSY.0b013e3182a3e4e5
Imel, Z., Baldwin, S., Bonus, K., & MacCoon, D. (2008). Beyond the individual: Group effects in mindfulness-based stress reduction. //Psychotherapy Research, 18//(6), 735-742. https://doi.org/10.1080/10503300802326038
Irving, J.A., Park-Saltzman, J., Fitzpatrick, M., Dobkin, P.L., Chen, A., & Hutchinson, T. (2014). Experiences of health care professionals enrolled in mindfulness-based medical practice: A grounded theory model. //Mindfulness, 5//(1), 60-71. https://doi.org/10.1007/s12671-012-0147-9
Jazaieri, H., Goldin, P.R., Werner, K., Ziv, M., & Gross, J.J. (2012). A randomized trial of MBSR versus aerobic exercise for social anxiety disorder. //Journal of Clinical Psychology, 68//(7), 715-731. https://doi.org/10.1002/jclp.21863
Jedel, S., Hoffman, A., Merriman, P., Swanson, B., Voigt, R., Rajan, K.B., ... & Keshavarzian, A. (2014). A randomized controlled trial of mindfulness-based stress reduction to prevent flare-up in patients with inactive ulcerative colitis. //Digestion, 89//(2), 142-155. https://doi.org/10.1159/000356316
Jha, A.P., Krompinger, J., & Baime, M.J. (2007). Mindfulness training modifies subsystems of attention. //Cognitive Affective & Behavioral Neuroscience, 7//(2), 109-119. https://doi.org/10.3758/CABN.7.2.109
Johansson, B., Bjuhr, H., & Ronnback, L. (2012). Mindfulness-based stress reduction (MBSR) improves long-term mental fatigue after stroke or traumatic brain injury. //Brain Injury, 26//(13-14), 1621-1628. https://doi.org/10.3109/02699052.2012.700082
Johansson, B., Bjuhr, H., Karlsson, M., Karlsson, J.O., & Ronnback, L. (2015). Mindfulness-based stress reduction (MBSR) delivered live on the internet to individuals suffering from mental fatigue after an acquired brain injury. //Mindfulness, 6//(6), 1356-1365. https://doi.org/10.1007/s12671-015-0406-7
Johns, S.A., Brown, L.F., Beck-Coon, K., Monahan, P.O., Tong, Y., & Kroenke, K. (2015). Randomized controlled pilot study of mindfulness-based stress reduction for persistently fatigued cancer survivors. //Psycho-Oncology, 24//(8), 885-893. https://doi.org/10.1002/pon.3648
Johns, S.A., Brown, L.F., Beck-Coon, K., Talib, T.L., Monahan, P.O., Giesler, R.B., ... & Kroenke, K. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction compared to psychoeducational support for persistently fatigued breast and colorectal cancer survivors. //Supportive Care in Cancer, 24//(10), 4085-4096. https://doi.org/10.1007/s00520-016-3220-4
Johns, S.A., Von Ah, D., Brown, L.F., Beck-Coon, K., Talib, T.L., Alyea, J.M., ... & Giesler, R.B. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction for breast and colorectal cancer survivors: Effects on cancer-related cognitive impairment. //Journal of Cancer Survivorship, 10//(3), 437-448. https://doi.org/10.1007/s11764-015-0494-3
Joo, H.M., Lee, S.J., Chung, Y.G., & Shin, I.Y. (2010). Effects of mindfulness based stress reduction program on depression, anxiety and stress in patients with aneurysmal subarachnoid hemorrhage. //Journal of Korean Neurosurgical Society, 47//(5), 345-351. https://doi.org/10.3340/jkns.2010.47.5.345
Kabat-Zinn, J. (2011). Some reflections on the origins of MBSR, skillful means, and the trouble with maps. //Contemporary Buddhism, 12//(1), 281-306. https://doi.org/10.1080/14639947.2011.564844
Kanter, G., Komesu, Y.M., Qaedan, F., Jeppson, P.C., Dunivan, G.C., Cichowski, S.B., ... & Rogers, R.G. (2016). Mindfulness-based stress reduction as a novel treatment for interstitial cystitis/bladder pain syndrome: A randomized controlled trial. //International Urogynecology Journal, 27//(11), 1705-1711. https://doi.org/10.1007/s00192-016-3022-8
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2013). Effects of participation in a mindfulness program for veterans with posttraumatic stress disorder: A randomized controlled pilot study. //Journal of Clinical Psychology, 69//(1), 14-27. https://doi.org/10.1002/jclp.21911
Kearney, D.J., McDermott, K., Martinez, M., & Simpson, T.L. (2011). Association of participation in a mindfulness programme with bowel symptoms, gastrointestinal symptom-specific anxiety and quality of life. //Alimentary Pharmacology & Therapeutics, 34//(3), 363-373. https://doi.org/10.1111/j.1365-2036.2011.04731.x
Kearney, D.J., Milton, M.L., Malte, C.A., McDermott, K.A., Martinez, M., & Simpson, T.L. (2012). Participation in mindfulness-based stress reduction is not associated with reductions in emotional eating or uncontrolled eating. //Nutrition Research, 32//(6), 413-420. https://doi.org/10.1016/j.nutres.2012.05.008
Kelly, A. (2015). Trauma-informed mindfulness-based stress reduction: A promising new model for working with survivors of interpersonal violence. //Smith College Studies in Social Work, 85//(2), 194-219. https://doi.org/10.1080/00377317.2015.1021191
Kerr, C.E., Josyula, K., & Littenberg, R. (2011). Developing an observing attitude: An analysis of meditation diaries in an MBSR clinical trial. //Clinical Psychology & Psychotherapy, 18//(1), 80-93. https://doi.org/10.1002/cpp.700
Khaddouma, A., Gordon, K.C., & Strand, E.B. (2017). Mindful mates: A pilot study of the relational effects of mindfulness-based stress reduction on participants and their partners. //Family Process, 56//(3), 636-651. https://doi.org/10.1111/famp.12226
Kilpatrick, L.A., Suyenobu, B.Y., Smith, S.R., Bueller, J.A., Goodman, T., Creswell, J.D., ... & Naliboff, B.D. (2011). Impact of mindfulness-based stress reduction training on intrinsic brain connectivity. //Neuroimage, 56//(1), 290-298. https://doi.org/10.1016/j.neuroimage.2011.02.034
Klatt, M.D., Buckworth, J., & Malarkey, W.B. (2009). Effects of low-dose mindfulness-based stress reduction (MBSR-ld) on working adults. //Health Education & behavior, 36//(3), 601-614. https://doi.org/10.1177/1090198108317627
Knight, R.W., Bean, J., Wilton, A.S., & Lin, E. (2015). Cost-effectiveness of the mindfulness-based stress reduction methodology. //Mindfulness, 6//(6), 1379-1386. https://doi.org/10.1007/s12671-015-0408-5
Kolahkaj, B., & Zargar, F. (2015). Effect of mindfulness-based stress reduction on anxiety, depression and stress in women with multiple sclerosis. //Nursing and Midwifery Studies, 4//(4), e29655. https://dx.doi.org/10.17795/nmsjournal29655
Koszycki, D., Benger, M., Shlik, J., & Bradwejn, J. (2007). Randomized trial of a meditation-based stress reduction program and cognitive behavior therapy in generalized social anxiety disorder. //Behaviour Research and Therapy, 45//(10), 2518-2526. https://doi.org/10.1016/j.brat.2007.04.011
Labelle, L.E., Lawlor-Savage, L., Campbell, T.S., Faris, P., & Carlson, L.E. (2015). Does self-report mindfulness mediate the effect of mindfulness-based stress reduction (MBSR) on spirituality and posttraumatic growth in cancer patients?. //Journal of Positive Psychology, 10//(2), 153-166. https://doi.org/10.1080/17439760.2014.927902
Lange, B. (2011). Cocreating a communicative space to develop a mindfulness meditation manual for women in recovery from substance abuse disorders. //Advances in Nursing Science, 34//(3), E1-E13. https://doi.org/10.1097/ANS.0b013e3182272405
Lengacher, C.A., Johnson-Mallard, V., Post-White, J., Moscoso, M.S., Jacobsen, P.B., Klein, T.W., ... & Kip, K.E. (2009). Randomized controlled trial of mindfulness-based stress reduction (MBSR) for survivors of breast cancer. //Psycho-Oncology, 18//(12), 1261-1272. https://doi.org/10.1002/pon.1529
Lengacher, C.A., Reich, R.R., Kip, K.E., Barta, M., Ramesar, S., Paterson, C.L., ... & Park, J.Y. (2014). Influence of mindfulness-based stress reduction (MBSR) on telomerase activity in women with breast cancer (BC). //Biological Research for Nursing, 16//(4), 438-447. https://doi.org/10.1177/1099800413519495
Lenze, E.J., Hickman, S., Hershey, T., Wendleton, L., Ly, K., Dixon, D., ... & Wetherell, J.L. (2014). Mindfulness-based stress reduction for older adults with worry symptoms and co-occurring cognitive dysfunction. //International Journal of Geriatric Psychiatry, 29//(10), 991-1000. https://doi.org/10.1002/gps.4086
Leung, L., Han, H., Martin, M., & Kotecha, J. (2015). Mindfulness-based stress reduction (MBSR) as sole intervention for non-somatisation chronic non-cancer pain (CNCP): Protocol for a systematic review and meta-analysis of randomised controlled trials. //BMJ Open, 5//(5), e007650. https://doi.org/10.1136/bmjopen-2015-007650
Levoy, E., Lazaridou, A., Brewer, J., & Fulwiler, C. (2017). An exploratory study of mindfulness based stress reduction for emotional eating. //Appetite, 109//, 124-130. https://doi.org/10.1016/j.appet.2016.11.029
Leydon, G.M., Eyles, C., & Lewith, G.T. (2012). A mixed methods feasibility study of mindfulness meditation for fatigue in women with metastatic breast cancer. //European Journal of Integrative Medicine, 4//(4), E429-E435. https://doi.org/10.1016/j.eujim.2012.05.003
Lush, E., Salmon, P., Floyd, A., Studts, J.L., Weissbecker, I., & Sephton, S.E. (2009). Mindfulness meditation for symptom reduction in fibromyalgia: Psychophysiological correlates. //Journal of Clinical Psychology in medical settings, 16//(2), 200-207. https://doi.org/10.1007/s10880-009-9153-z
MacCoon, D.G., MacLean, K.A., Davidson, R.J., Saron, C.D., & Lutz, A. (2014). No sustained attention differences in a longitudinal randomized trial comparing mindfulness based stress reduction versus active control. //PLOS ONE, 9//(6), e97551. https://doi.org/10.1371/journal.pone.0097551
Mackenzie, M.J., Carlson, L.E., Munoz, M., & Speca, M. (2007). A qualitative study of self-perceived effects of mindfulness-based stress reduction (MBSR) in a psychosocial oncology setting. //Stress and Health, 23//(1), 59-69. https://doi.org/10.1002/smi.1120
Mallya, S., & Fiocco, A.J. (2016). Effects of mindfulness training on cognition and well-being in healthy older adults. //Mindfulness, 7//(2), 453-465. https://doi.org/10.1007/s12671-015-0468-6
Malpass, A., Carel, H., Ridd, M., Shaw, A., Kessler, D., Sharp, D., ... & Wallond, J. (2012). Transforming the perceptual situation: A meta-ethnography of qualitative work reporting patients' experiences of mindfulness-based approaches. //Mindfulness, 3//(1), 60-75. https://doi.org/10.1007/s12671-011-0081-2
Mano, K.E.J., Salamon, K.S., Hainsworth, K.R., Khan, K.J.A., Ladwig, R.J., Davies, W.H., ... & Weisman, S.J. (2013). A randomized, controlled pilot study of mindfulness-based stress reduction for pediatric chronic pain. //Alternative Therapies in Health and Medicine, 19//(6), 8-14.
Marchand, W.R. (2012). Mindfulness-based stress reduction, mindfulness-based cognitive therapy, and zen meditation for depression, anxiety, pain, and psychological distress. //Journal of Psychiatric Practice, 18//(4), 233-252. https://doi.org/10.1097/01.pra.0000416014.53215.86
Marchand, W.R. (2013). Mindfulness meditation practices as adjunctive treatments for psychiatric disorders. //Psychiatric Clinics of North America, 36//(1), 141-152. https://doi.org/10.1016/j.psc.2013.01.002
Martin-Asuero, A., & Garcia-Banda, G. (2010). The mindfulness-based stress reduction program (MBSR) reduces stress-related psychological distress in healthcare professionals. //Spanish Journal of Psychology, 13//(2), 897-905. https://doi.org/10.1017/S1138741600002547
Martinez, M.E., Kearney, D.J., Simpson, T., Felleman, B.I., Bernardi, N., & Sayre, G. (2015). Challenges to enrollment and participation in mindfulness-based stress reduction among veterans: A qualitative study. //Journal of Alternative and Complementary Medicine, 21//(7), 409-421. https://doi.org/10.1089/acm.2014.0324
Matchim, Y., & Armer, J.M. (2007). Measuring the psychological impact of mindfulness meditation on health among patients with cancer: A literature review. //Oncology Nursing Forum, 34//(5), 1059-1066. https://doi.org/10.1188/07.ONF.1059-1066
Matchim, Y., Armer, J.M., & Stewart, B.R. (2011). Effects of mindfulness-based stress reduction (MBSR) on health among breast cancer survivors. //Western Journal of Nursing Research, 33//(8), 996-1016. https://doi.org/10.1177/0193945910385363
Matousek, R.H., & Dobkin, P.L. (2010). Weathering storms: A cohort study of how participation in a mindfulness-based stress reduction program benefits women after breast cancer treatment. //Current Oncology, 17//(4), 62-70.
Minor, H.G., Carlson, L.E., Mackenzie, M.J., Zernicke, K., & Jones, L. (2006). Evaluation of a mindfulness-based stress reduction (MBSR) program for caregivers of children with chronic, conditions. //Social Work in health care, 43//(1), 91-109. https://doi.org/10.1300/J010v43n01_06
Mitchell, M., & Heads, G. (2015). Staying well: A follow up of a 5-week mindfulness based stress reduction programme for a range of psychological issues. //Community Mental Health Journal, 51//(8), 897-902. https://doi.org/10.1007/s10597-014-9825-5
Momeni, J., Omidi, A., Raygan, F., & Akbari, H. (2016). The effects of mindfulness-based stress reduction on cardiac patients' blood pressure, perceived stress, and anger: A single-blind randomized controlled trial. //Journal of the American Society of Hypertension, 10//(10), 763-771. https://doi.org/10.1016/j.jash.2016.07.007
Moss, A.S., Reibel, D.K., Greeson, J.M., Thapar, A., Bubb, R., Salmon, J., ... & Newberg, A.B. (2015). An adapted mindfulness-based stress reduction program for elders in a continuing care retirement community: Quantitative and qualitative results from a pilot randomized controlled trial. //Journal of Applied Gerontology, 34//(4), 518-538. https://doi.org/10.1177/0733464814559411
Moynihan, J.A., Chapman, B.P., Klorman, R., Krasner, M.S., Duberstein, P.R., Brown, K.W., ... & Talbot, N.L. (2013). Mindfulness-based stress reduction for older adults: Effects on executive function, frontal alpha asymmetry and immune function. //Neuropsychobiology, 68//(1), 34-43. https://doi.org/10.1159/000350949
Muller-Engelmann, M., Wunsch, S., Volk, M., & Steil, R. (2017). Mindfulness-based stress reduction (MBSR) as a standalone intervention for posttraumatic stress disorder after mixed traumatic events: A mixed-methods feasibility study. //Frontiers in Psychology, 8//, 1407. https://doi.org/10.3389/fpsyg.2017.01407
Neece, C.L. (2014). Mindfulness-based stress reduction for parents of young children with developmental delays: Implications for parental mental health and child behavior problems. //Journal of Applied Research in Intellectual Disabilities, 27//(2), 174-186. https://doi.org/10.1111/jar.12064
Nyklicek, I., & Kuijpers, K.F. (2008). Effects of mindfulness-based stress reduction intervention on psychological well-being and quality of life: Is increased mindfulness indeed the mechanism?. //Annals of Behavioral Medicine, 35//(3), 331-340. https://doi.org/10.1007/s12160-008-9030-2
Nyklicek, I., Mommersteeg, P.M.C., Van Beugen, S., Ramakers, C., & Van Boxtel, G.J. (2013). Mindfulness-based stress reduction and physiological activity during acute stress: A randomized controlled trial. //Health Psychology, 32//(10), 1110-1113. https://doi.org/10.1037/a0032200
Omidi, A., & Zargar, F. (2015). Effects of mindfulness-based stress reduction on perceived stress and psychological health in patients with tension headache. //Journal of Research in Medical Sciences, 20//(11), 1058-1063. https://dx.doi.org/10.4103%2F1735-1995.172816
Ong, J.C., Hedeker, D., Wyatt, J.K., & Manber, R. (2016). Examining the variability of sleep patterns during treatment for chronic insomnia: Application of a location-scale mixed model. //Journal of Clinical Sleep Medicine, 12//(6), 797-804. https://doi.org/10.5664/jcsm.5872
Ong, J.C., Manber, R., Segal, Z., Xia, Y.L., Shapiro, S., & Wyatt, J.K. (2014). A randomized controlled trial of mindfulness meditation for chronic insomnia. //Sleep, 37//(9), 1553-1563. https://doi.org/10.5665/sleep.4010
Paiva, S.P.C., Nery, S.F., Magalhaes, E.B., Couto, B.G.M., Amaral, C.A.V., Campos, F.M.F., ... & Reis, F.M. (2015). Impact of a short-term, mindfulness-based stress reduction program on the well-being of infertile women: A mixed-method study. //Journal of Endometriosis and Pelvic Pain Disorders, 7//(4), 136-140. https://doi.org/10.5301/je.5000227
Patel, S.R., Carmody, J., & Simpson, H.B. (2007). Adapting mindfulness-based stress reduction for the treatment of obsessive-compulsive disorder: A case report. //Cognitive and Behavioral Practice, 14//(4), 375-380. https://doi.org/10.1016/j.cbpra.2006.08.006
Pbert, L., Madison, J.M., Druker, S., Olendzki, N., Magner, R., Reed, G., ... & Carmody, J. (2012). Effect of mindfulness training on asthma quality of life and lung function: A randomised controlled trial. //Thorax, 67//(9), 769-776. https://doi.org/10.1136/thoraxjnl-2011-200253
Petersen, M., & la Cour, P. (2016). Mindfulness-what works for whom? Referral, feasibility, and user perspectives regarding patients with mixed chronic pain. //Journal of Alternative and Complementary Medicine, 22//(4), 298-305. https://doi.org/10.1089/acm.2015.0310
Plews-Ogan, M., Owens, J.E., Goodman, M., Wolfe, P., & Schorling, J. (2005). Brief report: A pilot study evaluating mindfulness-based stress reduction and massage for the management of chronic pain. //Journal of General Internal Medicine, 20//(12), 1136-1138. https://doi.org/10.1111/j.1525-1497.2005.0247.x
Pradhan, E.K., Baumgarten, M., Langenberg, P., Handwerger, B., Gilpin, A.K., Magyari, T., ... & Berman, B.M. (2007). Effect of mindfulness-based stress reduction in rheumatoid arthritis patients. //Arthritis & Rheumatism-arthritis Care & Research, 57//(7), 1134-1142. https://doi.org/10.1002/art.23010
Praissman, S. (2008). Mindfulness-based stress reduction: A literature review and clinician's guide. //Journal of the American Academy of Nurse Practitioners, 20//(4), 212-216. https://doi.org/10.1111/j.1745-7599.2008.00306.x
Raab, K., Sogge, K., Parker, N., & Flament, M.F. (2015). Mindfulness-based stress reduction and self-compassion among mental healthcare professionals: A pilot study. //Mental Health Religion & Culture, 18//(6), 503-512. https://doi.org/10.1080/13674676.2015.1081588
Raja-Khan, N., Agito, K., Shah, J., Stetter, C.M., Gustafson, T.S., Socolow, H., ... & Legro, R.S. (2015). Mindfulness-based stress reduction for overweight/obese women with and without polycystic ovary syndrome: Design and methods of a pilot randomized controlled trial. //Contemporary Clinical Trials, 41//, 287-297. https://doi.org/10.1016/j.cct.2015.01.021
Raja-Khan, N., Agito, K., Shah, J., Stetter, C.M., Gustafson, T.S., Socolow, H., ... & Legro, R.S. (2017). Mindfulness-based stress reduction in women with overweight or obesity: A randomized clinical trial. //Obesity, 25//(8), 1349-1359. https://doi.org/10.1002/oby.21910
Ramel, W., Goldin, P.R., Carmona, P.E., & McQuaid, J.R. (2004). The effects of mindfulness meditation on cognitive processes and affect in patients with past depression. //Cognitive Therapy and Research, 28//(4), 433-455. https://doi.org/10.1023/B:COTR.0000045557.15923.96
Ramler, T.R., Tennison, L.R., Lynch, J., & Murphy, P. (2016). Mindfulness and the college transition: The efficacy of an adapted mindfulness-based stress reduction intervention in fostering adjustment among first-year students. //Mindfulness, 7//(1), 179-188. https://doi.org/10.1007/s12671-015-0398-3
Riley, K.E., & Kalichman, S. (2015). Mindfulness-based stress reduction for people living with HIV/AIDS: Preliminary review of intervention trial methodologies and findings. //Health Psychology review, 9//(2), 224-243. https://doi.org/10.1080/17437199.2014.895928
Robb, S.W., Benson, K., Middleton, L., Meyers, C., & Hebert, J.R. (2015). Mindfulness-based stress reduction teachers, practice characteristics, cancer incidence, and health: A nationwide ecological description. //BMC Complementary and Alternative Medicine, 15//, 24. https://doi.org/10.1186/s12906-015-0545-3
Roberts, L.R., & Neece, C.L. (2015). Feasibility of mindfulness-based stress reduction intervention for parents of children with developmental delays. //Issues in Mental Health Nursing, 36//(8), 592-602. https://doi.org/10.3109/01612840.2015.1017063
Robins, C.J., Keng, S.L., Ekblad, A.G., & Brantley, J.G. (2012). Effects of mindfulness-based stress reduction on emotional experience and expression: A randomized controlled trial. //Journal of Clinical Psychology, 68//(1), 117-131. https://doi.org/10.1002/jclp.20857
Robinson, F.P., Mathews, H.L., & Witek-Janusek, L. (2003). Psycho-endocrine-immune response to mindfulness-based stress reduction in individuals infected with the human immunodeficiency virus: A quasi-experimental study. //Journal of Alternative and Complementary Medicine, 9//(5), 683-694. https://doi.org/10.1089/107555303322524535
Roland, L.T., Lenze, E.J., Hardin, F.M., Kallogjeri, D., Nicklaus, J., Wineland, A.M., ... & Piccirillo, J.F. (2015). Effects of mindfulness based stress reduction therapy on subjective bother and neural connectivity in chronic tinnitus. //Otolaryngology-Head and Neck Surgery, 152//(5), 919-926. https://doi.org/10.1177/0194599815571556
Rosenkranz, M.A., Davidson, R.J., MacCoon, D.G., Sheridan, J.F., Kalin, N.H., & Lutz, A. (2013). A comparison of mindfulness-based stress reduction and an active control in modulation of neurogenic inflammation. //Brain Behavior and Immunity, 27//, 174-184. https://doi.org/10.1016/j.bbi.2012.10.013
Rosenzweig, S., Greeson, J.M., Reibel, D.K., Green, J.S., Jasser, S.A., & Beasley, D. (2010). Mindfulness-based stress reduction for chronic pain conditions: Variation in treatment outcomes and role of home meditation practice. //Journal of Psychosomatic Research, 68//(1), 29-36. https://doi.org/10.1016/j.jpsychores.2009.03.010
Rosenzweig, S., Reibel, D.K., Greeson, J.M., Brainard, G.C., & Hojat, M. (2003). Mindfulness-based stress reduction lowers psychological distress in medical students. //Teaching and Learning in Medicine, 15//(2), 88-92. https://doi.org/10.1207/S15328015TLM1502_03
Roth, B., & Robbins, D. (2004). Mindfulness-based stress reduction and health-related quality of life: Findings from a bilingual inner-city patient population. //Psychosomatic Medicine, 66//(1), 113-123. https://doi.org/10.1097/01.PSY.0000097337.00754.09
Roth, B., & Stanley, T.W. (2002). Mindfulness-based stress reduction and healthcare utilization in the inner city: Preliminary findings. //Alternative Therapies in Health and Medicine, 8//(1), 60-66.
Santarnecchi, E., D'Arista, S., Egiziano, E., Gardi, C., Petrosino, R., Vatti, G., ... & Rossi, A. (2014). Interaction between neuroanatomical and psychological changes after mindfulness-based training. //PLOS ONE, 9//(10), e108359. https://doi.org/10.1371/journal.pone.0108359
Sarenmalm, E.K., Martensson, L.B., Andersson, B.A., Karlsson, P., & Bergh, I. (2017). Mindfulness and its efficacy for psychological and biological responses in women with breast cancer. //Cancer Medicine, 6//(5), 1108-1122. https://doi.org/10.1002/cam4.1052
Sarenmalm, E.K., Martensson, L.B., Holmberg, S.B., Andersson, B.A., Oden, A., & Bergh, I. (2013). Mindfulness based stress reduction study design of a longitudinal randomized controlled complementary intervention in women with breast cancer. //BMC Complementary and Alternative Medicine, 13//, 248. https://doi.org/10.1186/1472-6882-13-248
Sasikumar, (2017). Effects of mindfulness based stress reduction (MBSR) on stress, depression and mindfulness among type 2 diabetics - A randomized pilot study. //Indian Journal of Traditional Knowledge, 16//(4), 654-659.
Saxe, G.A., Hebert, J.R., Carmody, J.F., Kabat-Zinn, J., Rosenzweig, P.H., Jarzobski, D., ... & Blute, R.D. (2001). Can diet in conjunction with stress reduction affect the rate of increase in prostate specific antigen after biochemical recurrence of prostate cancer?. //Journal of Urology, 166//(6), 2202-2207. https://doi.org/10.1016/S0022-5347(05)65535-8
Schellekens, M.P.J., Jansen, E.T.M., Willemse, H.H.M.A., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2016). A qualitative study on mindfulness-based stress reduction for breast cancer patients: How women experience participating with fellow patients. //Supportive Care in Cancer, 24//(4), 1813-1820. https://doi.org/10.1007/s00520-015-2954-8
Schellekens, M.P.J., van den Hurk, D.G.M., Prins, J.B., Molema, J., Donders, A.R.T., Woertman, W.H., ... & Speckens, A.E.M. (2014). Study protocol of a randomized controlled trial comparing mindfulness-based stress reduction with treatment as usual in reducing psychological distress in patients with lung cancer and their partners: The milon study. //BMC Cancer, 14//, 3. https://doi.org/10.1186/1471-2407-14-3
Schmidt, S., Gmeiner, S., Schultz, C., Lower, M., Kuhn, K., Naranjo, J.R., ... & Hinterberger, T. (2015). Mindfulness-based stress reduction (MBSR) as treatment for chronic back pain - An observational study with assessment of thalamocortical dysrhythmia. //Forschende Komplementarmedizin, 22//(5), 298-303. https://doi.org/10.1159/000440687
Schmidt, S., Grossman, P., Schwarzer, B., Jena, S., Naumann, J., & Walach, H. (2011). Treating fibromyalgia with mindfulness-based stress reduction: Results from a 3-armed randomized controlled trial. //Pain, 152//(2), 361-369. https://doi.org/10.1016/j.pain.2010.10.043
Sephton, S.E., Salmon, P., Weissbecker, I., Ulmer, C., Floyd, A., Hoover, K., ... & Studts, J.L. (2007). Mindfulness meditation alleviates depressive symptoms in women with fibromyalgia: Results of a randomized clinical trial. //Arthritis & Rheumatism-arthritis Care & Research, 57//(1), 77-85. https://doi.org/10.1002/art.22478
Serpa, J.G., Taylor, S.L., & Tillisch, K. (2014). Mindfulness-based stress reduction (MBSR) reduces anxiety, depression, and suicidal ideation in veterans. //Medical Care, 52//(12), S19-S24. https://doi.org/10.1097/MLR.0000000000000202
SeyedAlinaghi, S., Jam, S., Foroughi, M., Imani, A., Mohraz, M., Djavid, G.E., ... & Black, D.S. (2012). Randomized controlled trial of mindfulness-based stress reduction delivered to human immunodeficiency virus–positive patients in Iran: Effects on CD4+ T lymphocyte count and medical and psychological symptoms. //Psychosomatic Medicine, 74//(6), 620-627. https://doi.org/10.1097/PSY.0b013e31825abfaa
Sgalla, G., Cerri, S., Ferrari, R., Ricchieri, M.P., Poletti, S., Ori, M., ... & Richeldi, L. (2015). Mindfulness-based stress reduction in patients with interstitial lung diseases: A pilot, single-centre observational study on safety and efficacy. //BMJ Open respiratory research, 2//(1), e000065. https://doi.org/10.1136/bmjresp-2014-000065
Shapiro, S.L., Bootzin, R.R., Figueredo, A.J., Lopez, A.M., & Schwartz, G.E. (2003). The efficacy of mindfulness-based stress reduction in the treatment of sleep disturbance in women with breast cancer - an exploratory study. //Journal of Psychosomatic Research, 54//(1), 85-91. https://doi.org/10.1016/S0022-3999(02)00546-9
Shapiro, S.L., Brown, K.W., & Biegel, G.M. (2007). Teaching self-care to caregivers: Effects of mindfulness-based stress reduction on the mental health of therapists in training. //Training and Education in Professional Psychology, 1//(2), 105-115. https://doi.org/10.1037/1931-3918.1.2.105
Shapiro, S.L., Brown, K.W., Thoresen, C., & Plante, T.G. (2011). The moderation of mindfulness-based stress reduction effects by trait mindfulness: Results from a randomized controlled trial. //Journal of Clinical Psychology, 67//(3), 267-277. https://doi.org/10.1002/jclp.20761
Shapiro, S.L., Jazaieri, H., & Goldin, P.R. (2012). Mindfulness-based stress reduction effects on moral reasoning and decision making. //Journal of Positive Psychology, 7//(6), 504-515. https://doi.org/10.1080/17439760.2012.723732
Sibinga, E.M.S., Kerrigan, D., Stewart, M., Johnson, K., Magyari, T., & Ellen, J.M. (2011). Mindfulness-based stress reduction for urban youth. //Journal of Alternative and Complementary Medicine, 17//(3), 213-218. https://doi.org/10.1089/acm.2009.0605
Sibinga, E.M.S., Perry-Parrish, C., Chung, S.E., Johnson, S.B., Smith, M., & Ellen, J.M. (2013). School-based mindfulness instruction for urban male youth: A small randomized controlled trial. //Preventive Medicine, 57//(6), 799-801. https://doi.org/10.1016/j.ypmed.2013.08.027
Sibinga, E.M.S., Perry-Parrish, C., Thorpe, K., Mika, M., & Ellen, J.M. (2014). A small mixed-method RCT of mindfulness instruction for urban youth. //Explore: The Journal of Science and Healing, 10//(3), 180-186. https://doi.org/10.1016/j.explore.2014.02.006
Sibinga, E.M.S., Webb, L., Ghazarian, S.R., & Ellen, J.M. (2016). School-based mindfulness instruction: An RCT. //Pediatrics, 137//(1), e20152532. https://doi.org/10.1542/peds.2015-2532
Sik, H.H., Gao, J.L., Fan, J.C., Wu, B.W.Y., Leung, H.K., & Hung, Y.S. (2017). Using wavelet entropy to demonstrate how mindfulness practice increases coordination between irregular cerebral and cardiac activities. //JoVE: Journal of Visualized Experiments, 10//(123), e55455. https://doi.org/10.3791/55455
Simpson, R., Mair, F.S., & Mercer, S.W. (2017). Mindfulness-based stress reduction for people with multiple sclerosis - A feasibility randomised controlled trial. //BMC Neurology, 17//, 94. https://doi.org/10.1186/s12883-017-0880-8
Sizoo, B.B., & Kuiper, E. (2017). Cognitive behavioural therapy and mindfulness based stress reduction may be equally effective in reducing anxiety and depression in adults with autism spectrum disorders. //Research in Developmental Disabilities, 64//, 47-55. https://doi.org/10.1016/j.ridd.2017.03.004
Smith, B.W., Shelley, B.M., Dalen, J., Wiggins, K., Tooley, E., & Bernard, J. (2008). A pilot study comparing the effects of mindfulness-based and cognitive-behavioral stress reduction. //Journal of Alternative and Complementary Medicine, 14//(3), 251-258. https://doi.org/10.1089/acm.2007.0641
Smith, S.A. (2014). Mindfulness-based stress reduction: An intervention to enhance the effectiveness of nurses' coping with work-related stress. //International Journal of Nursing Knowledge, 25//(2), 119-130. https://doi.org/10.1111/2047-3095.12025
Snippe, E., Dziak, J.J., Lanza, S.T., Nykliek, I., & Wichers, M. (2017). The shape of change in perceived stress, negative affect, and stress sensitivity during mindfulness-based stress reduction. //Mindfulness, 8//(3), 728-736. https://doi.org/10.1007/s12671-016-0650-5
Snippe, E., Nyklicek, I., Schroevers, M.J., & Bos, E.H. (2015). The temporal order of change in daily mindfulness and affect during mindfulness-based stress reduction. //Journal of Counseling Psychology, 62//(2), 106-114. https://doi.org/10.1037/cou0000057
Song, Y., & Lindquist, R. (2015). Effects of mindfulness-based stress reduction on depression, anxiety, stress and mindfulness in Korean nursing students. //Nurse Education Today, 35//(1), 86-90. https://doi.org/10.1016/j.nedt.2014.06.010
Stephenson, K.R., Simpson, T.L., Martinez, M.E., & Kearney, D.J. (2017). Changes in mindfulness and posttraumatic stress disorder symptoms among veterans enrolled in mindfulness-based stress reduction. //Journal of Clinical Psychology, 73//(3), 201-217. https://doi.org/10.1002/jclp.22323
Szanton, S.L., Wenzel, J., Connolly, A.B., & Piferi, R.L. (2011). Examining mindfulness-based stress reduction: Perceptions from minority older adults residing in a low-income housing facility. //BMC Complementary and Alternative Medicine, 11//, 44. https://doi.org/10.1186/1472-6882-11-44
Tarrasch, R., Berman, Z., & Friedmann, N. (2016). Mindful reading: Mindfulness meditation helps keep readers with dyslexia and ADHD on the lexical track. //Frontiers in Psychology, 7//, 578. https://doi.org/10.3389/fpsyg.2016.00578
Thomas, J., Raynor, M., & Bakker, M.C. (2016). Mindfulness-based stress reduction among Emirati Muslim women. //Mental Health Religion & Culture, 19//(3), 295-304. https://doi.org/10.1080/13674676.2016.1168389
Thompson, B. (2009). Mindfulness-based stress reduction for people with chronic conditions. //British Journal of Occupational Therapy, 72//(9), 405-410. https://doi.org/10.1177/030802260907200907
Thurston, M.D., Goldin, P., Heimberg, R., & Gross, J.J. (2017). Self-views in social anxiety disorder: The impact of CBT versus MBSR. //Journal of Anxiety Disorders, 47//, 83-90. https://doi.org/10.1016/j.janxdis.2017.01.001
Toneatto, T., & Nguyen, L. (2007). Does mindfulness meditation improve anxiety and mood symptoms? A review of the controlled research. //Canadian Journal of Psychiatry-revue Canadienne De Psychiatrie, 52//(4), 260-266. https://doi.org/10.1177/070674370705200409
Turner, J.A., Anderson, M.L., Balderson, B.H., Cook, A.J., Sherman, K.J., & Cherkin, D.C. (2016). Mindfulness-based stress reduction and cognitive behavioral therapy for chronic low back pain: Similar effects on mindfulness, catastrophizing, self-efficacy, and acceptance in a randomized controlled trial. //Pain, 157//(11), 2434-2444. https://doi.org/10.1097/j.pain.0000000000000635
Valley, M.A., & Stallones, L. (2017). Effect of mindfulness-based stress reduction training on health care worker safety a randomized waitlist controlled trial. //Journal of Occupational and Environmental Medicine, 59//(10), 935-941. https://doi.org/10.1097/JOM.0000000000001090
van Dijk, I., Lucassen, P.L.B.J., & Speckens, A.E.M. (2015). Mindfulness training for medical students in their clinical clerkships: Two cross-sectional studies exploring interest and participation. //BMC Medical Education, 15//, 24. https://doi.org/10.1186/s12909-015-0302-9
van Dijk, I., Lucassen, P.L.B.J., Akkermans, R.P., van Engelen, B.G.M., van Weel, C., & Speckens, A.E.M. (2017). Effects of mindfulness-based stress reduction on the mental health of clinical clerkship students: A cluster-randomized controlled trial. //Academic Medicine, 92//(7), 1012-1021. https://doi.org/10.1097/ACM.0000000000001546
Van Vliet, K.J., Foskett, A.J., Williams, J.L., Singhal, A., Dolcos, F., & Vohra, S. (2017). Impact of a mindfulness-based stress reduction program from the perspective of adolescents with serious mental health concerns. //Child and Adolescent Mental Health, 22//(1), 16-22. https://doi.org/10.1111/camh.12170
Verweij, H., Waumans, R.C., Smeijers, D., Lucassen, P.L.B.J., Donders, A.R.T., van der Horst, H.E., ... & Speckens, A.E.M. (2016). Mindfulness-based stress reduction for GPS: Results of a controlled mixed methods pilot study in Dutch primary care. //British Journal of General Practice, 66//(643), E99-E105. https://doi.org/10.3399/bjgp16X683497
Vinesett, A.L., Whaley, R.R., Woods-Giscombe, C., Dennis, P., Johnson, M., Li, Y., ... & Wilson, K.H. (2017). Modified African Ngoma healing ceremony for stress reduction: A pilot study. //Journal of Alternative and Complementary Medicine, 23//(10), 800-804. https://doi.org/10.1089/acm.2016.0410
Vollestad, J., Sivertsen, B., & Nielsen, G.F. (2011). Mindfulness-based stress reduction for patients with anxiety disorders: Evaluation in a randomized controlled trial. //Behaviour Research and Therapy, 49//(4), 281-288. https://doi.org/10.1016/j.brat.2011.01.007
Weiss, M., Nordlie, J., & Siegel, E.P. (2005). Mindfulness-based stress reduction as an adjunct to outpatient psychotherapy. //Psychotherapy and Psychosomatics, 74//(2), 108-112. https://doi.org/10.1159/000083169
Weissbecker, I., Salmon, P., Studts, J.L., Floyd, A.R., Dedert, E.A., & Sephton, S.E. (2002). Mindfulness-based stress reduction and sense of coherence among women with fibromyalgia. //Journal of Clinical Psychology in medical settings, 9//(4), 297-307. https://doi.org/10.1023/A:1020786917988
Wells, R.E., Burch, R., Paulsen, R.H., Wayne, P.M., Houle, T.T., & Loder, E. (2014). Meditation for migraines: A pilot randomized controlled trial. //Headache, 54//(9), 1484-1495. https://doi.org/10.1111/head.12420
Wells, R.E., Yeh, G.Y., Kerr, C.E., Wolkin, J., Davis, R.B., Tan, Y., ... & Kong, J. (2013). Meditation's impact on default mode network and hippocampus in mild cognitive impairment: A pilot study. //Neuroscience Letters, 556//, 15-19. https://doi.org/10.1016/j.neulet.2013.10.001
Whitebird, R.R., Kreitzer, M., Crain, A.L., Lewis, B.A., Hanson, L.R., & Enstad, C.J. (2013). Mindfulness-based stress reduction for family caregivers: A randomized controlled trial. //Gerontologist, 53//(4), 676-686. https://doi.org/10.1093/geront/gns126
Witek-Janusek, L., Albuquerque, K., Chroniak, K.R., Chroniak, C., Durazo-Arvizu, R., & Mathews, H.L. (2008). Effect of mindfulness based stress reduction on immune function, quality of life and coping in women newly diagnosed with early stage breast cancer. //Brain Behavior and Immunity, 22//(6), 969-981. https://doi.org/10.1016/j.bbi.2008.01.012
Wong, S.Y.S., Chan, F.W.K., Wong, R.L.P., Chu, M.C., Lam, Y.Y.K., Mercer, S.W., ... & Ma, S.H. (2011). Comparing the effectiveness of mindfulness-based stress reduction and multidisciplinary intervention programs for chronic pain a randomized comparative trial. //Clinical Journal of Pain, 27//(8), 724-734. https://doi.org/10.1097/AJP.0b013e3182183c6e
Wurtzen, H., Dalton, S.O., Christensen, J., Andersen, K.K., Elsass, P., Flyger, H.L., ... & Johansen, C. (2015). Effect of mindfulness-based stress reduction on somatic symptoms, distress, mindfulness and spiritual wellbeing in women with breast cancer: Results of a randomized controlled trial. //Acta Oncologica, 54//(5), 712-719. https://doi.org/10.3109/0284186X.2014.997371
Wurtzen, H., Dalton, S.O., Elsass, P., Sumbundu, A.D., Steding-Jensen, M., Karlsen, R.V., ... & Johansen, C. (2013). Mindfulness significantly reduces self-reported levels of anxiety and depression: Results of a randomised controlled trial among 336 danish women treated for stage I-III breast cancer. //European Journal of Cancer, 49//(6), 1365-1373. https://doi.org/10.1016/j.ejca.2012.10.030
Zernicke, K.A., Campbell, T.S., Blustein, P.K., Fung, T.S., Johnson, J.A., Bacon, S.L., ... & Carlson, L.E. (2013). Mindfulness-based stress reduction for the treatment of irritable bowel syndrome symptoms: A randomized wait-list controlled trial. //International Journal of Behavioral Medicine, 20//(3), 385-396. https://doi.org/10.1007/s12529-012-9241-6
Zhang, J.X., Liu, X.H., Xie, X.H., Zhao, D., Shan, M.S., Zhang, X.L., ... & Cui, H. (2015). Mindfulness-based stress reduction for chronic insomnia in adults older than 75 years: A randomized, controlled, single-blind clinical trial. //Explore: The Journal of Science and Healing, 11//(3), 180-185. https://doi.org/10.1016/j.explore.2015.02.005
Zhang, J.Y., Zhou, Y.Q., Feng, Z.W., Fan, Y.N., & Zeng, G.C. (2017). Randomized controlled trial of mindfulness-based stress reduction (MBSR) on posttraumatic growth of Chinese breast cancer survivors. //Psychology Health & Medicine, 22//(1), 94-109. https://doi.org/10.1080/13548506.2016.1146405
Zolnierczyk-Zreda, D., Sanderson, M., & Bedynska, S. (2016). Mindfulness-based stress reduction for managers: A randomized controlled study. //Occupational Medicine-oxford, 66//(8), 630-635. https://doi.org/10.1093/occmed/kqw091
Caldwell, J.G., & Shaver, P.R. (2015). Promoting attachment-related mindfulness and compassion: A wait-list-controlled study of women who were mistreated during childhood. //Mindfulness, 6//(3), 624-636. https://doi.org/10.1007/s12671-014-0298-y
Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., ... & Hofmann, S.G. (2013). Mindfulness-based therapy: A comprehensive meta-analysis. //Clinical Psychology Review, 33//(6), 763-771. https://doi.org/10.1016/j.cpr.2013.05.005
Preddy, T.M., McIndoo, C.C., & Hopko, D.R. (2013). Abbreviated mindfulness-based therapy for a depressed college student. //Clinical Case Studies, 12//(5), 360-372. https://doi.org/10.1177/1534650113496142
Rexroth, M., Michel, A., & Bosch, C. (2017). Promoting well-being by teaching employees how to segment their life domains effects of an online-based mindfulness intervention. //Zeitschrift Fur Arbeits-und Organisationspsychologie, 61//(4), 197-212. https://doi.org/10.1026/0932-4089/a000253
Stephenson, K.R., & Kerth, J. (2017). Effects of mindfulness-based therapies for female sexual dysfunction: A meta-analytic review. //Journal of Sex Research, 54//(7), 832-849. https://doi.org/10.1080/00224499.2017.1331199
Tanner, M.A., Travis, F., Gaylord-King, C., Haaga, D.A.F., Grosswald, S., & Schneider, R.H. (2009). The effects of the transcendental meditation program on mindfulness. //Journal of Clinical Psychology, 65//(6), 574-589. https://doi.org/10.1002/jclp.20544
van der Valk, R., van de Waerdt, S., Meijer, C.J., van den Hout, I., & de Haan, L. (2013). Feasibility of mindfulness-based therapy in patients recovering from a first psychotic episode: A pilot study. //Early Intervention in Psychiatry, 7//(1), 64-70. https://doi.org/10.1111/j.1751-7893.2012.00356.x
Wong, M.Y., Ree, M.J., & Lee, C.W. (2016). Enhancing CBT for chronic insomnia: A randomised clinical trial of additive components of mindfulness or cognitive therapy. //Clinical Psychology & Psychotherapy, 23//(5), 377-385. https://doi.org/10.1002/cpp.1980
Benassi, V.A., Mahler, H.I.M., & Asdigian, N.L. (1993). The mindfulness of ostensibly thoughtless action. //Journal of Social Behavior and Personality, 8//(6), 67-82.
Dillard, M.B., Warm, J.S., Funke, G.J., Funke, M.E., Finomore, V.S., Matthews, G., ... & Parasuraman, R. (2014). The sustained attention to response task (SART) does not promote mindlessness during vigilance performance. //Human Factors, 56//(8), 1364-1379. https://doi.org/10.1177/0018720814537521
Djikic, M., & Langer, E.J. (2007). Toward mindful social comparison: When subjective and objective selves are mutually exclusive. //New Ideas in Psychology, 25//(3), 221-232. https://doi.org/10.1016/j.newideapsych.2007.03.001
Grier, R.A., Warm, J.S., Dember, W.N., Matthews, G., Galinsky, T.L., Szalma, J.L., ... & Parasuraman, R. (2003). The vigilance decrement reflects limitations in effortful attention, not mindlessness. //Human Factors, 45//(3), 349-359. https://doi.org/10.1518/hfes.45.3.349.27253
Haigh, E.A.P., Moore, M.T., Kashdan, T.B., & Fresco, D.M. (2011). Examination of the factor structure and concurrent validity of the Langer Mindfulness/Mindlessness Scale. //Assessment, 18//(1), 11-26. https://doi.org/10.1177/1073191110386342
King, P.E., & Sawyer, C.R. (1998). Mindfulness, mindlessness and communication instruction. //Communication Education, 47//(4), 326-336. https://doi.org/10.1080/03634529809379139
Langer, E., Pirson, M., & Delizonna, L. (2010). The mindlessness of social comparisons. //Psychology of Aesthetics Creativity and the Arts, 4//(2), 68-74. https://doi.org/10.1037/a0017318
Moafian, F., Pagnini, F., & Khoshsima, H. (2017). Validation of the Persian version of the Langer Mindfulness Scale. //Frontiers in Psychology, 8//, 468. https://doi.org/10.3389/fpsyg.2017.00468
Stewart, T.L., Berkvens, M., Engels, W.A.E.W., & Pass, J.A. (2003). Status and likability: Can the "mindful" woman have it all?. //Journal of Applied Social Psychology, 33//(10), 2040-2059. https://doi.org/10.1111/j.1559-1816.2003.tb01874.x
Treloar, C. (2005). 'You sort of switch off": Exploring mindlessness in injecting drugs users' accounts of blood. //Journal of Health Psychology, 10//(1), 137-145. https://doi.org/10.1177/1359105305048560
Treloar, C., Laybutt, B., & Carruthers, S. (2010). Using mindfulness to develop health education strategies for blood borne virus prevention in injecting drug use. //Drugs: education prevention and policy, 17//(4), 431-442. https://doi.org/10.3109/09687630802585377
Bauer, A.A., Loy, L.S., Masur, P.K., & Schneider, F.M. (2017). Mindful instant messaging mindfulness and autonomous motivation as predictors of well-being in smartphone communication. //Journal of Media Psychology-theories Methods and Applications, 29//(3), 159-165. https://doi.org/10.1027/1864-1105/a000225
Chittaro, L., & Vianello, A. (2014). Computer-supported mindfulness: Evaluation of a mobile thought distancing application on naive meditators. //International Journal of Human-computer Studies, 72//(3), 337-348. https://doi.org/10.1016/j.ijhcs.2013.11.001
Chittaro, L., & Vianello, A. (2016). Evaluation of a mobile mindfulness app distributed through on-line stores: A 4-week study. //International Journal of Human-computer Studies, 86//, 63-80. https://doi.org/10.1016/j.ijhcs.2015.09.004
Chittaro, L., & Vianello, A. (2016). Mobile mindfulness and user's worry: A qualitative study of using a smartphone app for distancing from negative thoughts. //Interacting With Computers, 28//(6), 695-717. https://doi.org/10.1093/iwc/iwv044
Coulon, S.M., Monroe, C.M., & West, D.S. (2016). A systematic, multi-domain review of mobile smartphone apps for evidence-based stress management. //American Journal of Preventive Medicine, 51//(1), 95-105. https://doi.org/10.1016/j.amepre.2016.01.026
Donovan, E., Rodgers, R.F., Cousineau, T.M., McGowan, K.M., Luk, S., Yates, K., ... & Franko, D.L. (2016). Brief report: Feasibility of a mindfulness and self-compassion based mobile intervention for adolescents. //Journal of Adolescence, 53//, 217-221. https://doi.org/10.1016/j.adolescence.2016.09.009
Eckhoff, R.P., Kizakevich, P.N., Bakalov, V., Zhang, Y.Y., Bryant, S.P., & Hobbs, M.A. (2015). A platform to build mobile health apps: The personal health intervention toolkit (PHIT). //JMIR Mhealth and Uhealth, 3//(2), e46. https://doi.org/10.2196/mhealth.4202
Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., ... & Sarris, J. (2017). The efficacy of smartphone-based mental health interventions for depressive symptoms: A meta-analysis of randomized controlled trials. //World Psychiatry, 16//(3), 287-298. https://doi.org/10.1002/wps.20472
Garcia, I.P., Sanchez, C.M., Espilez, A.S., Garcia-Magarino, I., Guillen, G.A., & Garcia-Campayo, J. (2017). Development and initial evaluation of a mobile application to help with mindfulness training and practice. //International Journal of Medical Informatics, 105//, 59-67. https://doi.org/10.1016/j.ijmedinf.2017.05.018
Garrison, K.A., Pal, P., Rojiani, R., Dallery, J., O'Malley, S.S., & Brewer, J.A. (2015). A randomized controlled trial of smartphone-based mindfulness training for smoking cessation: A study protocol. //BMC Psychiatry, 15//, 83. https://doi.org/10.1186/s12888-015-0468-z
Howells, A., Ivtzan, I., & Eiroa-Orosa, F.J. (2016). Putting the 'app' in happiness: A randomised controlled trial of a smartphone-based mindfulness intervention to enhance wellbeing. //Journal of Happiness Studies, 17//(1), 163-185. https://doi.org/10.1007/s10902-014-9589-1
Kristjansdottir, O.B., Fors, E.A., Eide, E., Finset, A., van Dulmen, S., Wigers, S.H., ... & Eide, H. (2011). Written online situational feedback via mobile phone to support self-management of chronic widespread pain: A usability study of a web-based intervention. //BMC Musculoskeletal Disorders, 12//, 51. https://doi.org/10.1186/1471-2474-12-51
Laurie, J., & Blandford, A. (2016). Making time for mindfulness. //International Journal of Medical Informatics, 96//, 38-50. https://doi.org/10.1016/j.ijmedinf.2016.02.010
Levin, M.E., Haeger, J., Pierce, B., & Cruz, R.A. (2017). Evaluating an adjunctive mobile app to enhance psychological flexibility in acceptance and commitment therapy. //Behavior Modification, 41//(6), 846-867. https://doi.org/10.1177/0145445517719661
Liu, Q.Q., Zhou, Z.K., Yang, X.J., Kong, F.C., Niu, G.F., & Fan, C.Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model. //Computers in Human Behavior, 72//, 108-114. https://doi.org/10.1016/j.chb.2017.02.042
Ly, K.H., Truschel, A., Jarl, L., Magnusson, S., Windahl, T., Johansson, R., ... & Andersson, G. (2014). Behavioural activation versus mindfulness-based guided self-help treatment administered through a smartphone application: A randomised controlled trial. //BMJ Open, 4//(1), e003440. https://doi.org/10.1136/bmjopen-2013-003440
Miller, M.M., & Brannon, L.A. (2017). Testing mindfulness-based acceptance against implementation intentions to discourage counterintentional cell phone use. //Mindfulness, 8//(5), 1212-1224. https://doi.org/10.1007/s12671-017-0694-1
Prada, P., Zamberg, I., Bouillault, G., Jimenez, N., Zimmermann, J., Hasler, R., ... & Perroud, N. (2017). Emoteo: A smartphone application for monitoring and reducing aversive tension in borderline personality disorder patients, a pilot study. //Perspectives in Psychiatric Care, 53//(4), 289-298. https://doi.org/10.1111/ppc.12178
Shand, F.L., Ridani, R., Tighe, J., & Christensen, H. (2013). The effectiveness of a suicide prevention app for indigenous Australian youths: Study protocol for a randomized controlled trial. //Trials, 14//, 396. https://doi.org/10.1186/1745-6215-14-396
Trub, L., & Starks, T.J. (2017). Textual healing: Proof of concept study examining the impact of a mindfulness intervention on smartphone behavior. //Mindfulness, 8//(5), 1225-1235. https://doi.org/10.1007/s12671-017-0697-y
Van Gemert-Pijnen, J.E.W.C., Kelders, S.M., & Bohlmeijer, E.T. (2014). Understanding the usage of content in a mental health intervention for depression: An analysis of log data. //Journal of Medical Internet Research, 16//(1), e27. https://doi.org/10.2196/jmir.2991
Wen, L., Sweeney, T.E., Welton, L., Trockel, M., & Katznelson, L. (2017). Encouraging mindfulness in medical house staff via smartphone app: A pilot study. //Academic Psychiatry, 41//(5), 646-650. https://doi.org/10.1007/s40596-017-0768-3
[[Arts]]<br>
[[Bibliotherapy]]<br>
[[Cognitive behaviour therapy]]<br>
[[Health enhancement programme (HEP)]]<br>
[[Internet-based cognitive behavioral therapy (iCBT)]]<br>
[[Internet-delivered intervention]]<br>
[[Martial arts]]<br>
[[Massive Open Online Course (MOOC)]]<br>
[[Mind-body therapies]]<br>
[[Mindfulness-based cognitive therapy (MBCT)]]<br>
[[Mindfulness-based intervention]]<br>
[[Mindfulness-based stress reduction (MBSR)]]<br>
[[Mindfulness-based therapies]]<br>
[[Mobile applications]]<br>
[[Music]]<br>
[[Phone-based intervention]]<br>
[[Progressive muscle relaxation]]<br>
[[Qigong]]<br>
[[Retreat]]<br>
[[Tai chi]]<br>
[[Taiji]]<br>
[[Virtual reality]]<br>
[[Walk]]<br>
[[Web app]]<br>
[[Writing]]<br>
[[Yoga]]<br>
Cebolla, A., Miragall, M., Palomo, P., Llorens, R., Soler, J., Demarzo, M., ... & Banos, R.M. (2016). Embodiment and body awareness in meditators. //Mindfulness, 7//(6), 1297-1305. https://doi.org/10.1007/s12671-016-0569-x
Cohen, R.G., Gurfinkel, V.S., Kwak, E., Warden, A.C., & Horak, F.B. (2015). Lighten up: Specific postural instructions affect axial rigidity and step initiation in patients with parkinson's disease. //Neurorehabilitation and Neural Repair, 29//(9), 878-888. https://doi.org/10.1177/1545968315570323
Delevoye-Turrell, Y.N., & Bobineau, C. (2012). Motor consciousness during intention-based and stimulus-based actions: Modulating attention resources through mindfulness meditation. //Frontiers in Psychology, 3//, 290. https://doi.org/10.3389/fpsyg.2012.00290
Dissanayaka, N.N.W., Jion, F.I., Pachana, N.A., O'Sullivan, J.D., Marsh, R., Byrne, G.J., ... & Harnett, P. (2016). Mindfulness for motor and nonmotor dysfunctions in parkinson's disease. //Parkinson’s Disease, 2006//, 7109052.https://doi.org/10.1155/2016/7109052
Ghielen, I., van den Heuvel, O.A., de Goede, C.J.T., Houniet-de Gier, M., Collette, E.H., Burgers-Bots, I.A.L., ... & van Wegen, E.E.H. (2015). Beware: Body awareness training in the treatment of wearing-off related anxiety in patients with Parkinson's disease: Study protocol for a randomized controlled trial. //Trials, 16//, 283. https://doi.org/10.1186/s13063-015-0804-0
Immink, M.A. (2016). Post-training meditation promotes motor memory consolidation. //Frontiers in Psychology, 7//, 1698. https://doi.org/10.3389/fpsyg.2016.01698
Naranjo, J.R., & Schmidt, S. (2012). Is it me or not me? modulation of perceptual-motor awareness and visuomotor performance by mindfulness meditation. //BMC Neuroscience, 13//, 88. https://doi.org/10.1186/1471-2202-13-88
Stanko-Kaczmarek, M., & Kaczmarek, L.D. (2016). Effects of tactile sensations during finger painting on mindfulness, emotions, and scope of attention. //Creativity Research Journal, 28//(3), 283-288. https://doi.org/10.1080/10400419.2016.1189769
van Ginneken, W.F., Poolton, J.M., Masters, R.S.W., Capio, C.M., Kal, E.C., & van der Kamp, J. (2017). Comparing the effects of conscious monitoring and conscious control on motor performance. //Psychology of Sport and Exercise, 30//, 145-152. https://doi.org/10.1016/j.psychsport.2017.03.001
Baker, G. (2008). Latin American Baroque: Performance as a post-colonial act? //Early Music, 36//(3), 441-448. https://doi.org/10.1093/em/can082
Bartunek, J.M. (2016). A commentary quiz: What musical composition best describes a primary contribution of your article?. //Management Learning, 47//(1), 100-109. https://doi.org/10.1177/1350507615615299
Diaz, F.M. (2013). Mindfulness, attention, and flow during music listening: An empirical investigation. //Psychology of Music, 41//(1), 42-58. https://doi.org/10.1177/0305735611415144
Gabel, C., Garrido, N., Koenig, J., Hillecke, T.K., & Warth, M. (2017). Effects of Monochord music on Heart Rate variability and Self-Reports of Relaxation in Healthy Adults. //Complementary Medicine Research, 24//(2), 97-103. https://doi.org/10.1159/000455133
Innes, K.E., Selfe, T.K., Khalsa, D.S., & Kandati, S. (2017). Meditation and music improve memory and cognitive function in adults with subjective cognitive decline: A pilot randomized controlled trial. //Journal of Alzheimer's Disease, 56//(3), 899-916. https://doi.org/10.3233/JAD-160867
Juncos, D.G., & Markman, E.J. (2016). Acceptance and commitment therapy for the treatment of music performance anxiety: A single subject design with a university student. //Psychology of Music, 44//(5), 935-952. https://doi.org/10.1177/0305735615596236
Juncos, D.G., Heinrichs, G.A., Towle, P., Duffy, K., Grand, S.M., Morgan, M.C., ... & Kalkus, E. (2017). Acceptance and commitment therapy for the treatment of music performance anxiety: A pilot study with student vocalists. //Frontiers in Psychology, 8//, 986. https://doi.org/10.3389/fpsyg.2017.00986
Langer, E., Russell, T., & Eisenkraft, N. (2009). Orchestral performance and the footprint of mindfulness. //Psychology of Music, 37//(2), 125-136. https://doi.org/10.1177/0305735607086053
Lin, P., Chang, J., Zemon, V., & Midlarsky, E. (2008). Silent illumination: A study on Chan (Zen) meditation, anxiety, and musical performance quality. //Psychology of Music, 36//(2), 139-155. https://doi.org/10.1177/0305735607080840
Mahendran, R., Rawtaer, I., Fam, J., Wong, J., Kumar, A.P., Gandhi, M., ... & Kua, E.H. (2017). Art therapy and music reminiscence activity in the prevention of cognitive decline: Study protocol for a randomized controlled trial. //Trials, 18//, 324. https://doi.org/10.1186/s13063-017-2080-7
Miranda, D., & Kim, J. (2015). Peer contagion, lenient legal-ethical position, and music piracy intentions in emerging adults: Mindfulness as a protective factor. //Musicae Scientiae, 19//(1), 3-22. https://doi.org/10.1177/1029864914550665
Rawtaer, I., Mahendran, R., Yu, J.H., Fam, J., Feng, L., & Kua, E.H. (2015). Psychosocial interventions with art, music, Tai Chi and mindfulness for subsyndromal depression and anxiety in older adults: A naturalistic study in Singapore. //Asia-Pacific Psychiatry, 7//(3), 240-250. https://doi.org/10.1111/appy.12201
Serrano, T., & Espirito-Santo, H.A. (2017). Music, ballet, mindfulness, and psychological inflexibility. //Psychology of Music, 45//(5), 725-738. https://doi.org/10.1177/0305735616689298
Steinfeld, M., & Brewer, J. (2015). The psychological benefits from reconceptualizing music-making as mindfulness practice. //Medical Problems of Performing Artists, 30//(2), 84-89.
Steyn, B.J.M., Steyn, M.H., Maree, D.J.F., & Panebianco-Warrens, C. (2016). Psychological skills and mindfulness training effects on the psychological wellbeing of undergraduate music students: An exploratory study. //Journal of Psychology in Africa, 26//(2), 167-171. https://doi.org/10.1080/14330237.2016.1163906
Warth, M., Kessler, J., Hillecke, T.K., & Bardenheuer, H.J. (2016). Trajectories of terminally ill patients' cardiovascular response to receptive music therapy in palliative care. //Journal of Pain and Symptom Management, 52//(2), 196-204. https://doi.org/10.1016/j.jpainsymman.2016.01.008
Warth, M., Kessler, J., Koenig, J., Wormit, A.F., Hillecke, T.K., & Bardenheuer, H.J. (2014). Music therapy to promote psychological and physiological relaxation in palliative care patients: Protocol of a randomized controlled trial. //BMC Palliative Care, 13//. https://doi.org/10.1186/1472-684X-13-60
Belling, C. (2012). A happy doctor's escape from narrative: Reflection in Saturday. //Medical Humanities, 38//(1), 2-6. https://doi.org/10.1136/medhum-2011-010129
Bennett, E.V., Clarke, L.H., Kowalski, K.C., & Crocker, P.R.E. (2017). From pleasure and pride to the fear of decline: Exploring the emotions in older women's physical activity narratives. //Psychology of Sport and Exercise, 33//, 113-122. https://doi.org/10.1016/j.psychsport.2017.08.012
Berry, K., & Patti, C.J. (2015). Lost in narration: Applying autoethnography. //Journal of Applied Communication Research, 43//(2), 263-268. https://doi.org/10.1080/00909882.2015.1019548
Boczkowska, M.M., & Zieba, M. (2016). Preliminary study of religious, spiritual and mystical experiences. Thematic analysis of poles adult's narratives. //Current Issues in Personality Psychology, 4//(3), 167-176. https://doi.org/10.5114/CIPP.2016.61484
Brody, L.R., & Park, S.H. (2004). Narratives, mindfulness, and the implicit audience. //Clinical Psychology: Science and Practice, 11//(2), 147-154. https://doi.org/10.1093/clipsy/bph065
Connelly, J.E. (2005). Narrative possibilities - using mindfulness in clinical practice. //Perspectives in Biology and Medicine, 48//(1), 84-94. https://doi.org/10.1353/pbm.2005.0006
Guillemin, M., & Gillam, L. (2015). Emotions, narratives, and ethical mindfulness. //Academic Medicine, 90//(6), 726-731. https://doi.org/10.1097/ACM.0000000000000709
Liden, E., Bjork-Bramberg, E., & Svensson, S. (2015). The meaning of learning to live with medically unexplained symptoms as narrated by patients in primary care: A phenomenological-hermeneutic study. //International Journal of Qualitative Studies on Health and Well-being, 10//, 27191. https://doi.org/10.3402/qhw.v10.27191
Lynn, R., & Mensinga, J. (2015). Social workers' narratives of integrating mindfulness into practice. //Journal of Social Work practice, 29//(3), 255-270. https://doi.org/10.1080/02650533.2015.1035237
Moore, S.D., & Brody, L.R. (2009). Linguistic predictors of mindfulness in written self-disclosure narratives. //Journal of Language and Social Psychology, 28//(3), 281-296. https://doi.org/10.1177/0261927X09335264
Moore, S.D., Brody, L.R., & Dierberger, A.E. (2009). Mindfulness and experiential avoidance as predictors and outcomes of the narrative emotional disclosure task. //Journal of Clinical Psychology, 65//(9), 971-988. https://doi.org/10.1002/jclp.20600
Ridge, D., Williams, I., Anderson, J., & Elford, J. (2008). Like a prayer: The role of spirituality and religion for people living with HIV in the UK. //Sociology of Health & Illness, 30//(3), 413-428. https://doi.org/10.1111/j.1467-9566.2007.01062.x
Vega, B.R., Perez, C.B., PalaoTarrero, A., & Liria, A.F. (2014). Mindfulness-based narrative therapy for depression in cancer patients. //Clinical Psychology & Psychotherapy, 21//(5), 411-419. https://doi.org/10.1002/cpp.1847
Wahler, R.G., Singh, J., & Singh, N.N. (2009). Parents' autobiographical narratives: Setting events for their contemplation of mindful changes. //Journal of Child and Family Studies, 18//(5), 520-529. https://doi.org/10.1007/s10826-008-9254-6
Armstrong, L., & Rimes, K.A. (2016). Mindfulness-based cognitive therapy for neuroticism (stress vulnerability): A pilot randomized study. //Behavior Therapy, 47//(3), 287-298. https://doi.org/10.1016/j.beth.2015.12.005
Barnhofer, T., Duggan, D.S., & Griffith, J.W. (2011). Dispositional mindfulness moderates the relation between neuroticism and depressive symptoms. //Personality and Individual Differences, 51//(8), 958-962. https://doi.org/10.1016/j.paid.2011.07.032
Carciofo, R., Yang, J.Y., Song, N., Du, F., & Zhang, K. (2016). Psychometric evaluation of Chinese-language 44-item and 10-item Big Five personality inventories, including correlations with chronotype, mindfulness and mind wandering. //PLOS ONE, 11//(2). https://doi.org/10.1371/journal.pone.0149963
de Vibe, M., Solhaug, I., Tyssen, R., Friborg, O., Rosenvinge, J.H., Sorlie, T., ... & Bjorndal, A. (2015). Does personality moderate the effects of mindfulness training for medical and psychology students?. //Mindfulness, 6//(2), 281-289. https://doi.org/10.1007/s12671-013-0258-y
Drake, M.M., Morris, M., & Davis, T.J. (2017). Neuroticism's susceptibility to distress: Moderated with mindfulness. //Personality and Individual Differences, 106//, 248-252. https://doi.org/10.1016/j.paid.2016.10.060
Fetterman, A.K., Robinson, M.D., Ode, S., & Gordon, K.H. (2010). Neuroticism as a risk factor for behavioral dysregulation: A mindfulness-mediation perspective. //Journal of Social and Clinical Psychology, 29//(3), 301-321. http://psycnet.apa.org/doi/10.1521/jscp.2010.29.3.301
Hanley, A.W. (2016). The mindful personality: Associations between dispositional mindfulness and the five factor model of personality. //Personality and Individual Differences, 91//, 154-158. https://doi.org/10.1016/j.paid.2015.11.054
Kong, D.T. (2015). The role of mindfulness and neuroticism in predicting acculturative anxiety forecasting error. //Mindfulness, 6//(6), 1387-1400. https://doi.org/10.1007/s12671-015-0409-4
Latzman, R.D., & Masuda, A. (2013). Examining mindfulness and psychological inflexibility within the framework of big five personality. //Personality and Individual Differences, 55//(2), 129-134. https://doi.org/10.1016/j.paid.2013.02.019
Sesker, A.A., Suilleabhain, P.O., Howard, S., & Hughes, B.M. (2016). Conscientiousness and mindfulness in midlife coping: An assessment based on midus ii. //Personality and Mental Health, 10//(1), 29-42. https://doi.org/10.1002/pmh.1323
Spinhoven, P., Huijbers, M.J., Ormel, J., & Speckens, A.E.M. (2017). Improvement of mindfulness skills during mindfulness-based cognitive therapy predicts long-term reductions of neuroticism in persons with recurrent depression in remission. //Journal of Affective Disorders, 213//, 112-117. https://doi.org/10.1016/j.jad.2017.02.011
Sun, J.W., Xue, J.M., Bai, H.Y., Zhang, H.H., Lin, P.Z., & Cao, F.L. (2016). The association between negative life events, neuroticism and aggression in early adulthood. //Personality and Individual Differences, 102//, 139-144. https://doi.org/10.1016/j.paid.2016.06.066
Tucker, R.P., O'Keefe, V.M., Cole, A.B., Rhoades-Kerswill, S., Hollingsworth, D.W., Helle, A.C., ... & Wingate, L.R. (2014). Mindfulness tempers the impact of personality on suicidal ideation. //Personality and Individual Differences, 68//, 229-233. https://doi.org/10.1016/j.paid.2014.05.001
Wenzel, M., von Versen, C., Hirschmuller, S., & Kubiak, T. (2015). Curb your neuroticism - mindfulness mediates the link between neuroticism and subjective well-being. //Personality and Individual Differences, 80//, 68-75. https://doi.org/10.1016/j.paid.2015.02.020
<$macrocall $name=".example" n="1" eg="""<<copy-to-clipboard "Mary had a little lamb">>"""/>
<$macrocall $name=".example" n="2" eg="""<$macrocall $name="copy-to-clipboard" src={{$:/SiteTitle}}/>"""/>
Feng, X.J., Krageloh, C.U., Medvedev, O.N., Billington, D.R., Jang, J.Y., & Siegert, R.J. (2016). Assessing mechanisms of mindfulness: Improving the precision of the Nonattachment Scale using a Rasch model. //Mindfulness, 7//(5), 1082-1091. https://doi.org/10.1007/s12671-016-0546-4
Feliu-Soler, A., Soler, J., Luciano, J.V., Cebolla, A., Elices, M., Demarzo, M., ... & Garcia-Campayo, J. (2016). Psychometric properties of the Spanish version of the Nonattachment Scale (NAS) and its relationship with mindfulness, decentering, and mental health. //Mindfulness, 7//(5), 1156-1169. https://doi.org/10.1007/s12671-016-0558-0
Sahdra, B., Ciarrochi, J., & Parker, P. (2016). Nonattachment and mindfulness: Related but distinct constructs. //Psychological Assessment, 28//(7), 819-829. https://doi.org/10.1037/pas0000264
Sahdra, B.K., Ciarrochi, J., Parker, P.D., Marshall, S., & Heaven, P. (2015). Empathy and nonattachment independently predict peer nominations of prosocial behavior of adolescents. //Frontiers in Psychology, 6//, 263. https://doi.org/10.3389/fpsyg.2015.00263
Aldridge, M. (2015). Modelling mindful practice. //Reflective Practice, 16//(3), 312-321. https://doi.org/10.1080/14623943.2015.1023278
Alsaraireh, F.A., & Aloush, S.M. (2017). Mindfulness meditation versus physical exercise in the management of depression among nursing students. //Journal of Nursing Education, 56//(10), 599-604. https://doi.org/10.3928/01484834-20170918-04
Atanes, A.C.M., Andreoni, S., Hirayama, M.S., Montero-Marin, J., Barros, V.V., Ronzani, T.M., ... & Demarzo, M.M.P. (2015). Mindfulness, perceived stress, and subjective well-being: A correlational study in primary care health professionals. //BMC Complementary and Alternative Medicine, 15//. https://doi.org/10.1186/s12906-015-0823-0
Burger, K.G., & Lockhart, J.S. (2017). Meditation's effect on attentional efficiency, stress, and mindfulness characteristics of nursing students. //Journal of Nursing Education, 56//(7), 430-434. https://doi.org/10.3928/01484834-20170619-08
Bussing, A., Falkenberg, Z., Schoppe, C., Recchia, D.R., & Poier, D. (2017). Work stress associated cool down reactions among nurses and hospital physicians and their relation to burnout symptoms. //BMC Health Services Research, 17//. https://doi.org/10.1186/s12913-017-2445-3
Chamberlain, D., Williams, A., Stanley, D., Mellor, P., Cross, W., & Siegloff, L. (2016). Dispositional mindfulness and employment status as predictors of resilience in third year nursing students: A quantitative study. //Nursing Open, 3//(4), 212-221. https://doi.org/10.1002/nop2.56
Chen, Y., Yang, X.L., Wang, L.Y., & Zhang, X.Y. (2013). A randomized controlled trial of the effects of brief mindfulness meditation on anxiety symptoms and systolic blood pressure in Chinese nursing students. //Nurse Education Today, 33//(10), 1166-1172. https://doi.org/10.1016/j.nedt.2012.11.014
Chesak, S.S., Bhagra, A., Schroeder, D.R., Foy, D.A., Cutshall, S.M., & Sood, A. (2015). Enhancing resilience among new nurses: Feasibility and efficacy of a pilot intervention. //Ochsner Journal, 15//(1), 38-44. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365845/
Craigie, M., Slatyer, S., Hegney, D., Osseiran-Moisson, R., Gentry, E., Davis, S., ... & Rees, C. (2016). A pilot evaluation of a mindful self-care and resiliency (MSCR) intervention for nurses. //Mindfulness, 7//(3), 764-774. https://doi.org/10.1007/s12671-016-0516-x
Crane, P.J., & Ward, S.F. (2016). Self-healing and self-care for nurses. //Aorn Journal, 104//(5), 386-400. https://doi.org/10.1016/j.aorn.2016.09.007
Currie, L.M., Desjardins, K.S., Levine, E., Stone, P.W., Schnall, R., Li, J.H., ... & Bakken, S. (2009). Web-based hazard and near-miss reporting as part of a patient safety curriculum. //Journal of Nursing Education, 48//(12), 669-677. https://doi.org/10.3928/01484834-20091113-03
Cusack, L., Smith, M., Hegney, D., Rees, C.S., Breen, L.J., Witt, R.R., ... & Cheung, K. (2016). Exploring environmental factors in nursing workplaces that promote psychological resilience: Constructing a unified theoretical model. //Frontiers in Psychology, 7//. https://doi.org/10.3389/fpsyg.2016.00600
Dauenhauer, J.A. (2006). Mindfulness theory and professional family caregivers in long-term care facilities. //Journal of Aging Studies, 20//(4), 351-365. https://doi.org/10.1016/j.jaging.2005.11.003
Day, P.O., & Horton-Deutsch, S. (2004). Using mindfulness-based therapeutic interventions in psychiatric nursing practice-part i: Description and empirical support for mindfulness-based interventions. //Archives of Psychiatric Nursing, 18//(5), 164-169. https://doi.org/10.1016/j.apnu.2004.07.003
Day, P.O., & Horton-Deutsch, S. (2004). Using mindfulness-based therapeutic interventions in psychiatric nursing practice-Part II: Mindfulness-based approaches for all phases of psychotherapy-clinical case study. //Archives of Psychiatric Nursing, 18//(5), 170-177. https://doi.org/10.1016/j.apnu.2004.07.004
Dickey, J., & Ungerleider, R. (2007). Managing the demands of professional life. //Cardiology in the Young, 17//, 138-144. https://doi.org/10.1017/S1047951107001242
dos Santos, T.M., Kozasa, E.H., Carmagnani, I.S., Tanaka, L.H., Lacerda, S.S., & Nogueira-Martins, L.A. (2016). Positive effects of a stress reduction program based on mindfulness meditation in Brazilian nursing professionals: Qualitative and quantitative evaluation. //Explore: The Journal of Science and Healing, 12//(2), 90-99. https://doi.org/10.1016/j.explore.2015.12.005
Drew, B.L., Motter, T., Ross, R., Goliat, L.M., Sharpnack, P.A., Govoni, A.L., ... & Rababah, J. (2016). Care for the caregiver evaluation of mind-body self-care for accelerated nursing students. //Holistic Nursing Practice, 30//(3), 148-154. https://doi.org/10.1097/HNP.0000000000000140
Drury, V., Craigie, M., Francis, K., Aoun, S., & Hegney, D.G. (2014). Compassion satisfaction, compassion fatigue, anxiety, depression and stress in registered nurses in Australia: Phase 2 results. //Journal of Nursing Management, 22//(4), 519-531. https://doi.org/10.1111/jonm.12168
du Plessis, E. (2016). Presence: A step closer to spiritual care in nursing. //Holistic Nursing Practice, 30//(1), 47-53. https://doi.org/10.1097/HNP.0000000000000124
Duarte, J., & Pinto-Gouveia, J. (2016). Effectiveness of a mindfulness-based intervention on oncology nurses' burnout and compassion fatigue symptoms: A non-randomized study. //International Journal of Nursing Studies, 64//, 98-107. https://doi.org/10.1016/j.ijnurstu.2016.10.002
Duarte, J., & Pinto-Gouveia, J. (2017). The role of psychological factors in oncology nurses' burnout and compassion fatigue symptoms. //European Journal of Oncology Nursing, 28//, 114-121. https://doi.org/10.1016/j.ejon.2017.04.002
Duarte, J., Pinto-Gouveia, J., & Cruz, B. (2016). Relationships between nurses' empathy, self-compassion and dimensions of professional quality of life: A cross-sectional study. //International Journal of Nursing Studies, 60//, 1-11. https://doi.org/10.1016/j.ijnurstu.2016.02.015
Dubert, C.J., Schumacher, A.M., Locker, L., Gutierrez, A.P., & Barnes, V.A. (2016). Mindfulness and emotion regulation among nursing students: Investigating the mediation effect of working memory capacity. //Mindfulness, 7//(5), 1061-1070. https://doi.org/10.1007/s12671-016-0544-6
Elliott, E.C., Walden, M., Young, A., Symes, L., & Fredland, N. (2017). The lived experience of nurse practitioners practicing within the transformational advanced professional practice model: A phenomenological study. //Journal of the American Association of Nurse Practitioners, 29//(6), 324-332. https://doi.org/10.1002/2327-6924.12454
Fiske, E.A. (2017). Contemplative activities in undergraduate nursing courses. //Journal of Nursing Education, 56//(6), 376-380. https://doi.org/10.3928/01484834-20170518-12
Foureur, M., Besley, K., Burton, G., Yu, N., & Crisp, J. (2013). Enhancing the resilience of nurses and midwives: Pilot of a mindfulness-based program for increased health, sense of coherence and decreased depression, anxiety and stress. //Contemporary Nurse, 45//(1), 114-125. https://doi.org/10.5172/conu.2013.45.1.114
Frisvold, M.H., Lindquist, R., & McAlpine, C.P. (2012). Living life in the balance at midlife: Lessons learned from mindfulness. //Western Journal of Nursing Research, 34//(2), 265-278. https://doi.org/10.1177/0193945911424171
Frogeli, E., Djordjevic, A., Rudman, A., Livheim, F., & Gustavsson, P. (2016). A randomized controlled pilot trial of acceptance and commitment training (act) for preventing stress-related ill health among future nurses. //Anxiety Stress and Coping, 29//(2), 202-218. https://doi.org/10.1080/10615806.2015.1025765
Gauthier, T., Meyer, R.M.L., Grefe, D., & Gold, J.I. (2015). An on-the-job mindfulness-based intervention for pediatric ICU nurses: A pilot. //Journal of Pediatric Nursing: nursing Care of Children & Families, 30//(2), 402-409. https://doi.org/10.1016/j.pedn.2014.10.005
Gracia-Gracia, P., & Olivan-Blazquez, B. (2017). Burnout and mindfulness self-compassion in nurses of intensive care units cross-sectional study. //Holistic Nursing Practice, 31//(4), 225-233. https://doi.org/10.1097/HNP.0000000000000215
Gregg, S.R., & Twibell, K.R. (2016). Try-it-on experiential learning of holistic stress management in a graduate nursing curriculum. //Journal of Holistic Nursing, 34//(3), 300-308. https://doi.org/10.1177/0898010115611788
Haas, A.S. (2015). Modeling and measurement of interpersonal attraction and coordination in charged social space-time. //Neuroquantology, 13//(1), 1-9. http://dx.doi.org/10.14704/nq.2015.13.1.801
Hicdurmaz, D., & Aydin, A. (2017). The relationship between nursing students' self-compassion and multidimensional perfectionism levels and the factors that influence them. //Journal of Psychiatric Nursing, 8//(2), 86-94. https://doi.org/10.14744/phd.2017.40469
Horner, J.K., Piercy, B.S., Eure, L., & Woodard, E.K. (2014). A pilot study to evaluate mindfulness as a strategy to improve inpatient nurse and patient experiences. //Applied Nursing Research, 27//(3), 198-201. https://doi.org/10.1016/j.apnr.2014.01.003
Kang, Y.S., Choi, S.Y., & Ryu, E. (2009). The effectiveness of a stress coping program based on mindfulness meditation on the stress, anxiety, and depression experienced by nursing students in Korea. //Nurse Education Today, 29//(5), 538-543. https://doi.org/10.1016/j.nedt.2008.12.003
Kemper, K., Bulla, S., Krueger, D., Ott, M.J., McCool, J.A., & Gardiner, P. (2011). Nurses' experiences, expectations, and preferences for mind-body practices to reduce stress. //BMC Complementary and Alternative Medicine, 11//26. https://doi.org/10.1186/1472-6882-11-26
Kim, M.S., & Patterson, K.T. (2016). Teaching and practicing caring in the classroom: Students' responses to a self-awareness intervention in psychiatric-mental health nursing. //Journal of Christian Nursing, 33//(2), E23-E26. https://doi.org/10.1097/CNJ.0000000000000270
Lan, H.K., Subramanian, P., Rahmat, N., & Kar, P.C. (2014). The effects of mindfulness training program on reducing stress and promoting well-being among nurses in critical care units. //Australian Journal of Advanced Nursing, 31//(3), 22-31. http://www.ajan.com.au/Vol31/Issue3/3Pathma.pdf
Leonard, L. (2017). Emotional displays:-nurse educators engaging and reflecting on their own emotional displays in preparing nursing students for the emotional complexities of nursing practice. //Nurse Education in Practice, 26//, 21-26. https://doi.org/10.1016/j.nepr.2017.06.001
Levett-Jones, T., Pitt, V., Courtney-Pratt, H., Harbrow, G., & Rossiter, R. (2015). What are the primary concerns of nursing students as they prepare for and contemplate their first clinical placement experience?. //Nurse Education in Practice, 15//(4), 304-309. https://doi.org/10.1016/j.nepr.2015.03.012
Mackenzie, C.S., Poulin, P.A., & Seidman-Carlson, R. (2006). A brief mindfulness-based stress reduction intervention for nurses and nurse aides. //Applied Nursing Research, 19//(2), 105-109. https://doi.org/10.1016/j.apnr.2005.08.002
Magtibay, D.L., Chesak, S.S., Coughlin, K., & Sood, A. (2017). Decreasing stress and burnout in nurses efficacy of blended learning with stress management and resilience training program. //Journal of Nursing Administration, 47//(42924), 391-395. https://doi.org/10.1097/NNA.0000000000000501
Mathad, M.D., Pradhan, B., & Rajesh, S.K. (2017). Correlates and predictors of resilience among baccalaureate nursing students. //Journal of Clinical and Diagnostic Research, 11//(2), JC5-JC8. https://doi.org/10.7860/JCDR/2017/24442.9352
Mathad, M.D., Pradhan, B., & Sasidharan, R.K. (2017). Effect of yoga on psychological functioning of nursing students: A randomized wait list control trial. //Journal of Clinical and Diagnostic Research, 11//(5) KC01-KC05. https://doi.org/10.7860/JCDR/2017/26517.9833
Mealer, M., Conrad, D., Evans, J., Jooste, K., Solyntjes, J., Rothbaum, B., ... & Moss, M. (2014). Feasibility and acceptability of a resilience training program for intensive care unit nurses. //American Journal of Critical Care, 23//(6), E97-E105. https://doi.org/10.4037/ajcc2014747
Moscaritolo, L.M. (2009). Interventional strategies to decrease nursing student anxiety in the clinical learning environment. //Journal of Nursing Education, 48//(1), 17-23. https://doi.org/10.3928/01484834-20090101-08
Myers, R.E. (2017). Cultivating mindfulness to promote self-care and well-being in perioperative nurses. //AORN Journal, 105//(3), 259-266. https://doi.org/10.1016/j.aorn.2017.01.005
Norouzinia, R., Ramezani, Z., Khalili, A., Dehghani, M., & Sharifis, A. (2017). The effect of mindfulness-based stress reduction training on stress and burnout of nurses. //Indo American Journal of Pharmaceutical Sciences, 4//(5), 1296-1302. https://doi.org/10.5281/zenodo.802200
Pipe, T.B., Bortz, J.J., Dueck, A., Pendergast, D., Buchda, V., & Summers, J. (2009). Nurse leader mindfulness meditation program for stress management a randomized controlled trial. //Journal of Nursing Administration, 39//(3), 130-137. DOI: 10.1097/NNA.0b013e31819894a0
Potter, P., Deshields, T., Berger, J.A., Clarke, M., Olsen, S., & Chen, L. (2013). Evaluation of a compassion fatigue resiliency program for oncology nurses. //Oncology Nursing Forum, 40//(2), 180-187. https://doi.org/10.1188/13.ONF.180-187
Ratanasiripong, P., Park, J.F., Ratanasiripong, N., & Kathalae, D. (2015). Stress and anxiety management in nursing students: Biofeedback and mindfulness meditation. //Journal of Nursing Education, 54//(9), 520-524. https://doi.org/10.3928/01484834-20150814-07
Rees, C.S., Heritage, B., Osseiran-Moisson, R., Chamberlain, D., Cusack, L., Anderson, J., ... & Hegney, D.G. (2016). Can we predict burnout among student nurses? An exploration of the ICWR-1 model of individual psychological resilience. //Frontiers in Psychology, 7//. https://dx.doi.org/10.3389%2Ffpsyg.2016.01072
Rushton, C.H., Batcheller, J., Schroeder, K., & Donohue, P. (2015). Burnout and resilience among nurses practicing in high-intensity settings. //American Journal of Critical Care, 24//(5), NA-420. https://doi.org/10.4037/ajcc2015291
Saedpanah, D., Salehi, S., & Moghaddam, L.F. (2016). The effect of emotion regulation training on occupational stress of critical care nurses. //Journal of Clinical and Diagnostic Research, 10//(12), VC1-VC4. https://doi.org/10.7860/JCDR/2016/23693.9042
Sanko, J., Mckay, M., & Rogers, S. (2016). Exploring the impact of mindfulness meditation training in pre-licensure and post graduate nurses. //Nurse Education Today, 45//, 142-147. https://doi.org/10.1016/j.nedt.2016.07.006
Scheick, D.M. (2011). Developing self-aware mindfulness to manage countertransference in the nurse-client relationship: An evaluation and developmental Study. //Journal of Professional Nursing, 27//(2), 114-123. https://doi.org/10.1016/j.profnurs.2010.10.005
Shikai, N., Shono, M., & Kitamura, T. (2009). Effects of coping styles and stressful life events on depression and anxiety in Japanese nursing students: A longitudinal study. //International Journal of Nursing Practice, 15//(3), 198-204. https://doi.org/10.1111/j.1440-172X.2009.01745.x
Shirey, M.R. (2007). An evidence-based solution for minimizing stress and anger in nursing students. //Journal of Nursing Education, 46//(12), 568-571. https://search.proquest.com/openview/ae6714361a89d57e0322349887ae8828/1?pq-origsite=gscholar&cbl=47628
Sitzman, K.L., Jensen, A., & Chan, S. (2016). Creating a global community of learners in nursing and beyond: Caring science, mindful practice mooc. //Nursing Education Perspectives, 37//(5), 269-274. https://doi.org/10.1097/01.NEP.0000000000000062
Smith, S.A. (2014). Mindfulness-based stress reduction: An intervention to enhance the effectiveness of nurses' coping with work-related stress. //International Journal of Nursing Knowledge, 25//(2), 119-130. https://doi.org/10.1111/2047-3095.12025
Snowden, A., Stenhouse, R., Young, J., Carver, H., Carver, F., & Brown, N. (2015). The relationship between emotional intelligence, previous caring experience and mindfulness in student nurses and midwives: A cross sectional analysis. //Nurse Education Today, 35//(1), 152-158. https://doi.org/10.1016/j.nedt.2014.09.004
Song, Y., & Lindquist, R. (2015). Effects of mindfulness-based stress reduction on depression, anxiety, stress and mindfulness in Korean nursing students. //Nurse Education Today, 35//(1), 86-90. https://doi.org/10.1016/j.nedt.2014.06.010
Spadaro, K.C., & Hunker, D.F. (2016). Exploring the effects of an online asynchronous mindfulness meditation intervention with nursing students on stress, mood, and cognition: A descriptive study. //Nurse Education Today, 39//, 163-169. https://doi.org/10.1016/j.nedt.2016.02.006
Sredl, D., & Aukamp, V. (2006). Evidence-based nursing care management for the pregnant woman With an ostomy. //Journal of Wound Ostomy and Continence Nursing, 33//(1), 42-49. http://dx.doi.org/10.1097/00152192-200601000-00005
Stelter, R. (2010). Experience-based, body-anchored qualitative research interviewing. //Qualitative Health Research, 20//(6), 859-867. https://doi.org/10.1177/1049732310364624
Sundling, V., Sundler, A.J., Holmstrom, I.K., Kristensen, D.V., & Eide, H. (2017). Mindfulness predicts student nurses' communication self-efficacy: A cross-national comparative study. //Patient Education and Counseling, 100//(8), 1558-1563. https://doi.org/10.1016/j.pec.2017.03.016
van der Riet, P., Rossiter, R., Kirby, D., Dluzewska, T., & Harmon, C. (2015). Piloting a stress management and mindfulness program for undergraduate nursing students: Student feedback and lessons learned. //Nurse Education Today, 35//(1), 44-49. https://doi.org/10.1016/j.nedt.2014.05.003
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8). https://doi.org/10.1371/journal.pone.0136955
Walker, M., & Mann, R.A. (2016). Exploration of mindfulness in relation to compassion, empathy and reflection within nursing education. //Nurse Education Today, 40//, 188-190. https://doi.org/10.1016/j.nedt.2016.03.005
Watanabe, N., Furukawa, T.A., Horikoshi, M., Katsuki, F., Narisawa, T., Kumachi, M., ... & Matsuoka, Y. (2015). A mindfulness-based stress management program and treatment with omega-3 fatty acids to maintain a healthy mental state in hospital nurses (Happy Nurse Project): Study protocol for a randomized controlled trial. //Trials, 16//. https://doi.org/10.1186/s13063-015-0554-z
Westphal, M., Bingisser, M.B., Feng, T.S., Wall, M., Blakley, E., Bingisser, R., ... & Kleim, B. (2015). Protective benefits of mindfulness in emergency room personnel. //Journal of Affective Disorders, 175//, 79-85. https://doi.org/10.1016/j.jad.2014.12.038
White, L. (2014). Mindfulness in nursing: An evolutionary concept analysis. //Journal of Advanced Nursing, 70//(2), 282-294. https://doi.org/10.1111/jan.12182
Wilson, D.S., Talsma, A., & Martyn, K. (2011). Mindful staffing: A qualitative description of charge nurses' decision-making behaviors. //Western Journal of Nursing Research, 33//(6), 805-824. https://doi.org/10.1177/0193945910396519
Wittenberg-Lyles, E., Goldsmith, J., & Ragan, S.L. (2010). The comfort initiative palliative nursing and the centrality of communication. //Journal of Hospice & Palliative Nursing, 12//(5), 282-292. https://doi.org/10.1097/NJH.0b013e3181ebb45e
Wylde, C.M., Mahrer, N.E., Meyer, R.M.L., & Gold, J.I. (2017). Mindfulness for novice pediatric nurses: Smartphone application versus traditional intervention. //Journal of Pediatric Nursing: nursing Care of Children & Families, 36//, 205-212. https://doi.org/10.1016/j.pedn.2017.06.008
Yang, K.P., & Wu, X.J. (2009). Spiritual intelligence of nurses in two Chinese social systems: A cross-sectional comparison study. //Journal of Nursing Research, 17//(3), 189-198. https://doi.org/10.1097/JNR.0b013e3181b2556c
Zeller, J.M., & Lamb, K. (2011). Mindfulness meditation to improve care quality and quality of life in long-term care settings. //Geriatric Nursing, 32//(2), 114-118. https://doi.org/10.1016/j.gerinurse.2010.11.006
Zeller, J.M., & Levin, P.F. (2013). Mindfulness interventions to reduce stress among nursing personnel an occupational health perspective. //Workplace Health & Safety, 61//(2), 86-90. https://doi.org/10.3928/21650799-20130116-67
Alonso, M.A., Lopez, A., Losada, A., & Gonzalez, J.L. (2013). Acceptance and commitment therapy and selective optimization with compensation for older people with chronic pain: A pilot study. //Behavioral Psychology-psicologia Conductual, 21//(1), 59-79. https://doi.org/10.1111/pme.12885
Arcury, T.A., Grzywacz, J.G., Stoller, E.P., Bell, R.A., Altizer, K.P., Chapman, C., ... & Quandt, S.A. (2009). Complementary therapy use and health self-management among rural older adults. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 64//(5), 635-643. https://doi.org/10.1093/geronb/gbp011
Banducci, S.E., Daugherty, A.M., Biggan, J.R., Cooke, G.E., Voss, M., Noice, T., ... & Kramer, A.F. (2017). Active experiencing training improves episodic memory recall in older adults. //Frontiers in Aging Neuroscience, 9//, 133. https://doi.org/10.3389/fnagi.2017.00133
Barkan, T., Hoerger, M., Gallegos, A.M., Turiano, N.A., Duberstein, P.R., & Moynihan, J.A. (2016). Personality predicts utilization of mindfulness-based stress reduction during and post-intervention in a community sample of older adults. //Journal of Alternative and Complementary Medicine, 22//(5), 390-395. https://doi.org/10.1089/acm.2015.0177
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2014). Mindfulness-based intervention for prodromal sleep disturbances in older adults: Design and methodology of a randomized controlled trial. //Contemporary Clinical Trials, 39//(1), 22-27. https://doi.org/10.1016/j.cct.2014.06.013
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2015). Mindfulness meditation and improvement in sleep quality and daytime impairment among older adults with sleep disturbances a randomized clinical trial. //JAMA Internal Medicine, 175//(4), 494-501. https://doi.org/10.1001/jamainternmed.2014.8081
Broome, K., Shamrock, J., & Alcorn, K. (2015). Older peoples' perceived benefits of Feldenkrais method classes. //Physical & Occupational Therapy in Geriatrics, 33//(2), 118-127. https://doi.org/10.3109/02703181.2015.1009227
Crane-Okada, R., Kiger, H., Anderson, N.L.R., Carroll-Johnson, R.M., Sugerman, F., Shapiro, S.L., ... & Wyman-McGinty, W. (2012). Participant perceptions of a mindful movement program for older women with breast cancer focus group results. //Cancer Nursing, 35//(3), E1-E10. https://doi.org/10.1097/NCC.0b013e31822539c5
Crane-Okada, R., Kiger, H., Sugerman, F., Uman, G.C., Shapiro, S.L., Wyman-McGinty, W., ... & Anderson, N.L.R. (2012). Mindful movement program for older breast cancer survivors a pilot study. //Cancer Nursing, 35//(4), E1-E13. https://doi.org/10.1097/NCC.0b013e3182280f73
Creswell, J.D., Irwin, M.R., Burklund, L.J., Lieberman, M.D., Arevalo, J.M.G., Ma, J., ... & Cole, S.W. (2012). Mindfulness-based stress reduction training reduces loneliness and pro-inflammatory gene expression in older adults: A small randomized controlled trial. //Brain Behavior and Immunity, 26//(7), 1095-1101. https://doi.org/10.1016/j.bbi.2012.07.006
de Frias, C.M. (2014). Memory compensation in older adults: The role of health, emotion regulation, and trait mindfulness. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 69//(5), 678-685. https://doi.org/10.1093/geronb/gbt064
de Frias, C.M., & Whyne, E. (2015). Stress on health-related quality of life in older adults: The protective nature of mindfulness. //Aging & Mental Health, 19//(3), 201-206. https://doi.org/10.1080/13607863.2014.924090
Fountain-Zaragoza, S., Londeree, A., Whitmoyer, P., & Prakash, R.S. (2016). Dispositional mindfulness and the wandering mind: Implications for attentional control in older adults. //Consciousness and Cognition, 44//, 193-204. https://doi.org/10.1016/j.concog.2016.08.003
Franco, C., Amutio, A., Manas, I., Gazquez, J.J., & Perez-Fuentes, M.D. (2017). Reducing anxiety, geriatric depression and worry in a sample of older adults through a mindfulness training program. //Terapia Psicologica, 35//(1), 71-79. DOI:10.4067/S0718-48082017000100007
Gallegos, A.M., Hoerger, M., Talbot, N.L., Krasner, M.S., Knight, J.M., Moynihan, J.A., ... & Duberstein, P.R. (2013). Toward identifying the effects of the specific components of mindfulness-based stress reduction on biologic and emotional outcomes among older adults. //Journal of Alternative and Complementary Medicine, 19//(10), 787-792. https://doi.org/10.1089/acm.2012.0028
Gallegos, A.M., Hoerger, M., Talbot, N.L., Moynihan, J.A., & Duberstein, P.R. (2013). Emotional benefits of mindfulness-based stress reduction in older adults: The moderating roles of age and depressive symptom severity. //Aging & Mental Health, 17//(7), 823-829. https://doi.org/10.1080/13607863.2013.799118
Hafskjold, L., Sundler, A.J., Holmstrom, I.K., Sundling, V., van Dulmen, S., & Eide, H. (2015). A cross-sectional study on person-centred communication in the care of older people: The comhome study protocol. //BMJ Open, 5//(4). https://doi.org/10.1136/bmjopen-2015-007864
Hakansson, K., Ledreux, A., Daffner, K., Terjestam, Y., Bergman, P., Carlsson, R., ... & Mohammed, A.K.H. (2017). BDNF Responses in Healthy Older Persons to 35 Minutes of Physical Exercise, Cognitive Training, and Mindfulness: Associations with Working Memory Function. //Journal of Alzheimers Disease, 55//(2), 645-657. https://doi.org/10.3233/JAD-160593
Helmes, E., & Ward, B.G. (2017). Mindfulness-based cognitive therapy for anxiety symptoms in older adults in residential care. //Aging & Mental Health, 21//(3), 272-278. https://doi.org/10.1080/13607863.2015.1111862
Ingraham, N., Harbatkin, D., Lorvick, J., Plumb, M., & Minnis, A.M. (2017). Women's health and mindfulness (wham): A randomized intervention among older lesbian/bisexual women. //Health Promotion Practice, 18//(3), 348-357. https://doi.org/10.1177/1524839916670874
Kristeller, J.L. (2016). The Struggle Continues: Addressing Concerns About Eating and Weight for Older Women’s Well-Being. //Women & Therapy, 39//(42737), 202-212. https://doi.org/10.1080/02703149.2016.1116855
Lenze, E.J., Hickman, S., Hershey, T., Wendleton, L., Ly, K., Dixon, D., ... & Wetherell, J.L. (2014). Mindfulness-based stress reduction for older adults with worry symptoms and co-occurring cognitive dysfunction. //International Journal of Geriatric Psychiatry, 29//(10), 991-1000. https://doi.org/10.1002/gps.4086
Lomas, T., Ivtzan, I., & Yong, C.Y. (2016). Mindful living in older age: A pilot study of a brief, community-based, positive aging intervention. //Mindfulness, 7//(3), 630-641. https://doi.org/10.1007/s12671-016-0498-8
Lunde, L.H., & Skjotskift, S. (2015). Combining mindfulness meditation with cognitive behavior therapy and medication taper for hypnotic-dependent insomnia in older adults: A case study. //Clinical Case Studies, 14//(4), 307-320. https://doi.org/10.1177/1534650114557566
Mahoney, C.T., Segal, D.L., & Coolidge, F.L. (2015). Anxiety sensitivity, experiential avoidance, and mindfulness among younger and older adults: Age differences in risk factors for anxiety symptoms. //International Journal of Aging & Human Development, 81//(4), 217-240. https://doi.org/10.1177/0091415015621309
Mallya, S., & Fiocco, A.J. (2016). Effects of mindfulness training on cognition and well-being in healthy older adults. //Mindfulness, 7//(2), 453-465. https://doi.org/10.1007/s12671-015-0468-6
Marino, P., DePasquale, A., & Sirey, J.A. (2015). Cognitive behavior therapy with mindfulness and acceptance skills for the treatment of older adults. //Clinical Case Studies, 14//(4), NA-273. https://doi.org/10.1177/1534650114556147
Martin, M., & Doswell, S. (2012). Mindfulness and older people: A small study. //British Journal of Occupational Therapy, 75//(1), 36-41. https://doi.org/10.4276/030802212X13261082051454
McCracken, L.M., & Jones, R. (2012). Treatment for chronic pain for adults in the seventh and eighth decades of life: A preliminary study of acceptance and commitment therapy (act). //Pain Medicine, 13//(7), 861-867. https://doi.org/10.1111/j.1526-4637.2012.01407.x
McHugh, L., Simpson, A., & Reed, P. (2010). Mindfulness as a potential intervention for stimulus over-selectivity in older adults. //Research in Developmental Disabilities, 31//(1), 178-184. https://doi.org/10.1016/j.ridd.2009.08.009
Moore, R.C., Depp, C.A., Wetherell, J.L., & Lenze, E.J. (2016). Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults. //Journal of Psychiatric Research, 75//, 116-123. https://doi.org/10.1016/j.jpsychires.2016.01.011
Morone, N.E., Greco, C.M., & Weiner, D.K. (2008). Mindfulness meditation for the treatment of chronic low back pain in older adults: A randomized controlled pilot study. //Pain, 134//(3), 310-319. https://doi.org/10.1016/j.pain.2007.04.038
Morone, N.E., Greco, C.M., Moore, C.G., Rollman, B.L., Lane, B., Morrow, L.A., ... & Weiner, D.K. (2016). A mind-body program for older adults with chronic low back pain a randomized clinical trial. //JAMA Internal Medicine, 176//(3), 329-337. https://doi.org/10.1001/jamainternmed.2015.8033
Morone, N.E., Greco, C.M., Rollman, B.L., Moore, C.G., Lane, B., Morrow, L., ... & Weiner, D.K. (2012). The design and methods of the aging successfully with pain study. //Contemporary Clinical Trials, 33//(2), 417-425. https://doi.org/10.1016/j.cct.2011.11.012
Morone, N.E., Lynch, C.S., Greco, C.M., Tindle, H.A., & Weiner, D.K. (2008). I felt like a new person. the effects of mindfulness meditation on older adults with chronic pain: Qualitative narrative analysis of diary entries. //Journal of Pain, 9//(9), 841-848. https://doi.org/10.1016/j.jpain.2008.04.003
Morone, N.E., Rollman, B.L., Moore, C.G., Qin, L., & Weiner, D.K. (2009). A mind-body program for older adults with chronic low back pain: Results of a pilot study. //Pain Medicine, 10//(8), 1395-1407. https://doi.org/10.1111/j.1526-4637.2009.00746.x
Moynihan, J.A., Chapman, B.P., Klorman, R., Krasner, M.S., Duberstein, P.R., Brown, K.W., ... & Talbot, N.L. (2013). Mindfulness-based stress reduction for older adults: Effects on executive function, frontal alpha asymmetry and immune function. //Neuropsychobiology, 68//(1), 34-43. https://doi.org/10.1159/000350949
Palta, P., Page, G., Piferi, R.L., Gill, J.M., Hayat, M.J., Connolly, A.B., ... & Szanton, S.L. (2012). Evaluation of a mindfulness-based intervention program to decrease blood pressure in low-income african-american older adults. //Journal of Urban Health-bulletin of the New York Academy of Medicine, 89//(2), 308-316. https://doi.org/10.1007/s11524-011-9654-6
Paolini, B., Burdette, J.H., Laurienti, P.J., Morgan, A.R., Williamson, D.A., & Rejeski, W.J. (2012). Coping with brief periods of food restriction: Mindfulness matters. //Frontiers in Aging Neuroscience, 4//, 13. https://doi.org/10.3389/fnagi.2012.00013
Petkus, A.J., & Wetherell, J.L. (2013). Acceptance and commitment therapy with older adults: Rationale and considerations. //Cognitive and Behavioral Practice, 20//(1), 47-56. https://dx.doi.org/10.1016%2Fj.cbpra.2011.07.004
Prakash, R., Rastogi, P., Dubey, I., Abhishek, P., Chaudhury, S., & Small, B.J. (2012). Long-term concentrative meditation and cognitive performance among older adults. //Aging Neuropsychology and Cognition, 19//(4), 479-494. https://doi.org/10.1080/13825585.2011.630932
Prakash, R.S., Whitmoyer, P., Aldao, A., & Schirda, B. (2017). Mindfulness and emotion regulation in older and young adults. //Aging & Mental Health, 21//(1), 77-87. https://doi.org/10.1080/13607863.2015.1100158
Rawtaer, I., Mahendran, R., Yu, J.H., Fam, J., Feng, L., & Kua, E.H. (2015). Psychosocial interventions with art, music, tai chi and mindfulness for subsyndromal depression and anxiety in older adults: A naturalistic study in Singapore. //Asia-Pacific Psychiatry, 7//(3), 240-250. https://doi.org/10.1111/appy.12201
Smart, C.M., Segalowitz, S.J., Mulligan, B.P., Koudys, J., & Gawryluk, J.R. (2016). Mindfulness training for older adults with subjective cognitive decline: Results from a pilot randomized controlled trial. //Journal of Alzheimers Disease, 52//(2), 757-774. https://doi.org/10.3233/JAD-150992
Smith, A. (2004). Clinical uses of mindfulness training for older people. //Behavioural and Cognitive Psychotherapy, 32//(4), 423-430. https://doi.org/10.1017/S1352465804001602
Smith, A., Graham, L., & Senthinathan, S. (2007). Mindfulness-based cognitive therapy for recurring depression in older people: A qualitative study. //Aging & Mental Health, 11//(3), 346-357. https://doi.org/10.1080/13607860601086256
Sorrell, J.M. (2015). Meditation for older adults a new look at an ancient intervention for mental health. //Journal of Psychosocial Nursing and Mental Health Services, 53//(5), 15-19. https://doi.org/10.3928/02793695-20150330-01
Splevins, K., Smith, A., & Simpson, J. (2009). Do improvements in emotional distress correlate with becoming more mindful? a study of older adults. //Aging & Mental Health, 13//(3), 328-335. https://doi.org/10.1080/13607860802459807
Stillman, C.M., You, X.Z., Seaman, K.L., Vaidya, C.J., Howard, J.H., & Howard, D.V. (2016). Task-related functional connectivity of the caudate mediates the association between trait mindfulness and implicit learning in older adults. //Cognitive Affective & Behavioral Neuroscience, 16//(4), 736-753. https://doi.org/10.3758/s13415-016-0427-2
Szanton, S.L., Wenzel, J., Connolly, A.B., & Piferi, R.L. (2011). Examining mindfulness-based stress reduction: Perceptions from minority older adults residing in a low-income housing facility. //BMC Complementary and Alternative Medicine, 11//. https://doi.org/10.1186/1472-6882-11-44
Tam, B.W.H., Lo, D.R.T., Seah, D.W.H., Lee, J.X., Foo, Z.F.Y., Poh, Z.Y.Y., ... & Chee, C.S. (2017). Developing and validating a localised, self-training mindfulness programme for older singaporean adults: Effects on cognitive functioning and implications for healthcare. //Singapore Medical Journal, 58//(3), 126-128. https://doi.org/10.11622/smedj.2016172
Visser, P.L., Hirsch, J.K., Brown, K.W., Ryan, R., & Moynihan, J.A. (2015). Components of sleep quality as mediators of the relation between mindfulness and subjective vitality among older adults. //Mindfulness, 6//(4), NA-731. https://doi.org/10.1007/s12671-014-0311-5
Wahbeh, H., Goodrich, E., & Oken, B.S. (2016). Internet-based mindfulness meditation for cognition and mood in older adults: A pilot study. //Alternative Therapies in Health and Medicine, 22//(2), 44-53.doi: 10.2196/mental.5900
Wang, D., & Feinstein, A. (2011). Managing pain in older adults the benefits of yoga postures, meditation and mindfulness. //Topics in Geriatric Rehabilitation, 27//(2), 104-109. https://doi.org/10.1097/TGR.0b013e31821bfffa
Wetherell, J.L., Hershey, T., Hickman, S., Tate, S.R., Dixon, D., Bower, E.S., ... & Lenze, E.J. (2017). Mindfulness-based stress reduction for older adults with stress disorders and neurocognitive difficulties: A randomized controlled trial. //Journal of Clinical Psychiatry, 78//(7), E734-E743. https://doi.org/10.4088/JCP.16m10947
Zeng, W.N., Ma, Z.W., & Li, H.Z. (2017). Mindfulness and suicidal ideation in Chinese older adults: Perceived stress as mediator. //Social Behavior and Personality, 45//(5), 733-740. https://doi.org/10.2224/sbp.5807
Zhang, J.X., Liu, X.H., Xie, X.H., Zhao, D., Shan, M.S., Zhang, X.L., ... & Cui, H. (2015). Mindfulness-based stress reduction for chronic insomnia in adults older than 75 years: A randomized, controlled, single-blind clinical trial. //Explore: The Journal of Science and Healing, 11//(3), 180-185. https://doi.org/10.1016/j.explore.2015.02.005
Eilender, P., Ketchen, B., Maremmani, I., Saenger, M., & Fareed, A. (2016). Treatment approaches for patients with opioid use disorder and chronic noncancer pain: A literature review. //Addictive Disorders & Their Treatment, 15//(2), 85-98. https://doi.org/10.1097/ADT.0000000000000078
Garland, E.L., Bryan, C.J., Finan, P.H., Thomas, E.A., Priddy, S.E., Riquino, M.R., ... & Howard, M.O. (2017). Pain, hedonic regulation, and opioid misuse: Modulation of momentary experience by Mindfulness-Oriented Recovery Enhancement in opioid-treated chronic pain patients. //Drug and Alcohol Dependence, 173//, S65-S72. https://doi.org/10.1016/j.drugalcdep.2016.07.033
Garland, E.L., Froeliger, B., & Howard, M.O. (2014). Effects of mindfulness-oriented recovery enhancement on reward responsiveness and opioid cue-reactivity. //Psychopharmacology, 231//(16), 3229-3238. https://doi.org/10.1007/s00213-014-3504-7
Garland, E.L., Froeliger, B., & Howard, M.O. (2015). Neurophysiological evidence for remediation of reward processing deficits in chronic pain and opioid misuse following treatment with Mindfulness-Oriented Recovery Enhancement: Exploratory ERP findings from a pilot RCT. //Journal of Behavioral Medicine, 38//(2), 327-336. https://doi.org/10.1007/s10865-014-9607-0
Garland, E.L., Hanley, A.W., Thomas, E.A., Knoll, P., & Ferraro, J. (2015). Low dispositional mindfulness predicts self-medication of negative emotion with prescription opioids. //Journal of Addiction Medicine, 9//(1), 61-67. https://doi.org/10.1097/ADM.0000000000000090
Garland, E.L., Manusov, E.G., Froeliger, B., Kelly, A., Williams, J.M., & Howard, M.O. (2014). Mindfulness-oriented recovery enhancement for chronic pain and prescription opioid misuse: Results from an early-stage randomized controlled trial. //Journal of Consulting and Clinical Psychology, 82//(3), 448-459. https://doi.org/10.1037/a0035798
Imani, S., Vahid, M.K.A., Gharraee, B., Habibi, M., Bowen, S., & Noroozi, A. (2015). Comparing mindfulness-based group therapy with treatment as usual for opioid dependents: A pilot randomized clinical trial study protocol. //Iranian Journal of Psychiatry and Behavioral Sciences, 9//(1). https://doi.org/10.5812/ijpbs.216
Leece, P., Cavacuiti, C., Macdonald, E.M., Gomes, T., Kahan, M., Srivastava, A., ... & Juurlink, D.N. (2015). Predictors of opioid-related death during methadone therapy. //Journal of Substance Abuse Treatment, 57//, 30-35. https://doi.org/10.1016/j.jsat.2015.04.008
Stotts, A.L., Green, C., Masuda, A., Grabowski, J., Wilson, K., Northrup, T.F., ... & Schmitz, J.M. (2012). A stage I pilot study of acceptance and commitment therapy for methadone detoxification. //Drug and Alcohol Dependence, 125//(3), 215-222. https://doi.org/10.1016/j.drugalcdep.2012.02.015
Thomas, E.A., & Garland, E.L. (2017). Mindfulness is associated with increased hedonic capacity among chronic pain patients receiving extended opioid pharmacotherapy. //Clinical Journal of Pain, 33//(2), 166-173. https://doi.org/10.1097/AJP.0000000000000379
Wilson, J.D., Vo, H., Matson, P., Adger, H., Barnett, G., & Fishman, M. (2017). Trait mindfulness and progression to injection use in youth with opioid addiction. //Substance Use & Misuse, 52//(11), 1486-1493. https://doi.org/10.1080/10826084.2017.1289225
Zgierska, A.E., Burzinski, C.A., Cox, J., Kloke, J., Singles, J., Mirgain, S., ... & Backonja, M. (2016). Mindfulness meditation-based intervention is feasible, acceptable, and safe for chronic low back pain requiring long-term daily opioid therapy. //Journal of Alternative and Complementary Medicine, 22//(8), 610-620. https://doi.org/10.1089/acm.2015.0314
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
Gross, C.R., Kreitzer, M.J., Russas, V., Treesak, C., Frazier, P.A., & Hertz, M.I. (2004). Mindfulness meditation to reduce symptoms after organ transplant: A pilot study. //Alternative Therapies in Health and Medicine, 10//(3), 58-66.
Gross, C.R., Kreitzer, M.J., Thomas, W., Reilly-Spong, M., Cramer-Bornemann, M., Nyman, J.A., ... & Ibrahim, H.N. (2010). Mindfulness-based stress reduction for solid organ transplant recipients: A randomized controlled trial. //Alternative Therapies in Health and Medicine, 16//(5), 30-38.
Gross, C.R., Kreitzerb, M.J., Reilly-Spong, M., Winbush, N.Y., Schomaker, E.K., & Thomas, W. (2009). Mindfulness meditation training to reduce symptom distress in transplant patients: Rationale, design, and experience with a recycled waitlist. //Clinical Trials, 6//(1), 76-89. https://doi.org/10.1177/1740774508100982
Gross, C.R., Reilly-Spong, M., Park, T., Zhao, R.Z., Gurvich, O.V., & Ibrahim, H.N. (2017). Telephone-adapted mindfulness-based stress reduction (TMBSR) for patients awaiting kidney transplantation. //Contemporary Clinical Trials, 57//, 37-43. https://doi.org/10.1016/j.cct.2017.03.014
Reilly-Spong, M., Reibel, D., Pearson, T., Kappa, P., & Gross, C.R. (2015). Telephone-adapted mindfulness-based stress reduction (TMBSR) for patients awaiting kidney transplantation: Trial design, rationale and feasibility. //Contemporary Clinical Trials, 42//, 169-184. https://doi.org/10.1016/j.cct.2015.03.013
Stonnington, C.M., Darby, B., Santucci, A., Mulligan, P., Pathuis, P., Cuc, A., ... & Sood, A. (2016). A resilience intervention involving mindfulness training for transplant patients and their caregivers. //Clinical Transplantation, 30//(11), 1466-1472. https://doi.org/10.1111/ctr.12841
Amaye, A., Neville, K., & Pope, A. (2016). BigPromises: Using organisational mindfulness to integrate big data in emergency management decision making. //Journal of Decision Systems, 25//, 76-84. https://doi.org/10.1080/12460125.2016.1187419
Appiah, G., & Sarpong, D. (2015). On the influence of organisational routines on strategic foresight. //Foresight, 17//(5), 512-527. https://doi.org/10.1108/FS-11-2014-0067
Baskarada, S., Shrimpton, D., & Ng, S. (2016). Learning through foresight. //Foresight, 18//(4), 414-433. https://doi.org/10.1108/FS-09-2015-0045
Hales, D.N., & Chakravorty, S.S. (2016). Creating high reliability organizations using mindfulness. //Journal of Business Research, 69//(8), 2873-2881. https://doi.org/10.1016/j.jbusres.2015.12.056
Kass, J.D., Baxter, J., & Lennox, S. (2015). Mentoring person-centered spiritual maturation: A quasi-experimental mixed methods study of a contemplative self-inquiry curriculum. //Journal of Humanistic Psychology, 55//(4), 474-503. https://doi.org/10.1177/0022167814547578
McAvoy, J., Nagle, T., & Sammon, D. (2013). Using mindfulness to examine ISD agility. //Information Systems Journal, 23//(2), 155-172. https://doi.org/10.1111/j.1365-2575.2012.00405.x
McCray, J., Palmer, A., & Chmiel, N. (2016). Building resilience in health and social care teams. //Personnel Review, 45//(6), 1132-1155. https://doi.org/10.1108/PR-04-2014-0095
Oeij, P.R.A., Dhondt, S., & Gaspersz, J. (2016). Mindful infrastructure as an enabler of innovation resilience behaviour in innovation teams. //Team Performance Management, 22//(42924), 334-353. https://doi.org/10.1108/TPM-12-2015-0058
Sammon, D., Nagle, T., & McAvoy, J. (2014). Analysing ISD performance using narrative networks, routines and mindfulness. //Information and Software Technology, 56//(5), 465-476. https://doi.org/10.1016/j.infsof.2014.01.007
Schelvis, R.M.C., Zwetsloot, G.I.J.M., Bos, E.H., & Wiezer, N.M. (2014). Exploring teacher and school resilience as a new perspective to solve persistent problems in the educational sector. //Teachers and Teaching, 20//(5), 622-637. https://doi.org/10.1080/13540602.2014.937962
Svalgaard, L. (2017). From real life to real life: Bringing 'double awareness' from action learning programmes into organisational reality. //Action Learning, 14//(1), 29-49. https://doi.org/10.1080/14767333.2015.1136923
Aanestad, M., & Jensen, T.B. (2016). Collective mindfulness in post-implementation is adaptation processes. //Information and Organization, 26//(1-2), 13-27. https://doi.org/10.1016/j.infoandorg.2016.02.001
Avey, J.B., Wernsing, T.S., & Luthans, F. (2008). Can positive employees help positive organizational change? Impact of psychological capital and emotions on relevant attitudes and behaviors. //Journal of Applied Behavioral Science, 44//(1), 48-70. https://doi.org/10.1177/0021886307311470
Barry, D., & Meisiek, S. (2010). Seeing more and seeing differently: Sensemaking, mindfulness, and the workarts. //Organization Studies, 31//(11), 1505-1530. https://doi.org/10.1177/0170840610380802
Bucher, S., Jager, U.P., & Cardoza, G. (2016). Fundes: Becoming a strategically mindful nonprofit. //Journal of Business Research, 69//(10), 4489-4498. https://doi.org/10.1016/j.jbusres.2016.03.014
Chandler, D., & Hwang, H. (2015). Learning from learning theory: A model of organizational adoption strategies at the microfoundations of institutional theory. //Journal of Management, 41//(5), 1446-1476. https://doi.org/10.1177/0149206315572698
Charoensukmongkol, P. (2017). Contributions of mindfulness during post-merger integration. //Journal of Managerial Psychology, 32//(1), 104-118. https://doi.org/10.1108/JMP-02-2016-0039
Eastburn, R.W., & Boland, R.J. (2015). Inside banks' information and control systems: Post-decision surprise and corporate disruption. //Information and Organization, 25//(3), 160-190. https://doi.org/10.1016/j.infoandorg.2015.05.001
Eide, T., van Dulmen, S., & Eide, H. (2016). Educating for ethical leadership through web-based coaching: A feasibility study. //Nursing Ethics, 23//(8), 851-865. https://doi.org/10.1177/0969733015584399
Fiol, C.M., & O'Connor, E.J. (2003). Waking up! Mindfulness in the face of bandwagons. //Academy of Management Review, 28//(1), 54-70. https://doi.org/10.2307/30040689
Fuller, R.P. (2016). The big breach: An experiential learning exercise in mindful crisis communication. //Communication Teacher, 30//(1), 27-32. https://doi.org/10.1080/17404622.2015.1102306
Hackel, B., Lindermeir, A., Moser, F., & Pfosser, S. (2017). Mindful engagement in emerging it innovations - A dynamic optimization model considering organizational learning in it innovation investment evaluation. //Data Base for Advances in Information Systems, 48//(1), 53-74. https://doi.org/10.1145/3051473.3051477
Hernes, T., & Irgens, E.J. (2013). Keeping things mindfully on track: Organizational learning under continuity. //Management Learning, 44//(3), 253-266. https://doi.org/10.1177/1350507612445258
Hutzschenreuter, T., Kleindienst, I., & Schmitt, M. (2014). How mindfulness and acquisition experience affect acquisition performance. //Management Decision, 52//(6), 1116-1147. https://doi.org/10.1108/MD-07-2013-0376
Hyland, P.K., Lee, R.A., & Mills, M.J. (2015). Mindfulness at work: A new approach to improving individual and organizational performance. //Industrial and Organizational Psychology-perspectives on Science and Practice, 8//(4), 576-602. https://doi.org/10.1017/iop.2015.41
Lichtman, C. (2012). The mind of a leaderless organization. //Psychoanalytic Inquiry, 32//(4), 412-423. https://doi.org/10.1080/07351690.2011.609396
Lintern, G., & Kugler, P.N. (2017). Sociotechnical system safety: Hierarchical control versus mindfulness. //Systems Engineering, 20//(4), 307-317. https://doi.org/10.1002/sys.21396
Magnano, P., Platania, S., Ramaci, T., Santisi, G., & Di Nuovo, S. (2017). Validation of the Italian version of the mindfulness organizing scale (MOS) in organizational contexts. //TPM - Testing, Psychometrics, Methodology in Applied Psychology, 24//(1), 45-64. https://doi.org/10.4473/TPM24.1.3
Mazdeh, M.M., & Hesamamiri, R. (2014). Knowledge management reliability and its impact on organizational performance an empirical study. //Program: Electronic Library and Information Systems, 48//(2), 102-126. https://doi.org/10.1108/PROG-01-2013-0001
Mu, E., Kirsch, L.J., & Butler, B.S. (2015). The assimilation of enterprise information system: An interpretation systems perspective. //Information & Management, 52//(3), 359-370. https://doi.org/10.1016/j.im.2015.01.004
Novak, J.M., & Sellnow, T.L. (2009). Reducing organizational risk through participatory communication. //Journal of Applied Communication Research, 37//(4), 349-373. https://doi.org/10.1080/00909880903233168
Plambeck, N., & Weber, K. (2010). When the glass is half full and half empty: CEOS' ambivalent interpretations of strategic issues. //Strategic Management Journal, 31//(7), 689-710. https://doi.org/10.1002/smj.835
Reb, J., Narayanan, J., & Ho, Z.W. (2015). Mindfulness at work: Antecedents and consequences of employee awareness and absent-mindedness. //Mindfulness, 6//(1), 111-122. https://doi.org/10.1007/s12671-013-0236-4
Reb, J., Narayanan, J., Chaturvedi, S., & Ekkirala, S. (2017). The mediating role of emotional exhaustion in the relationship of mindfulness with turnover intentions and job performance. //Mindfulness, 8//(3), 707-716. https://doi.org/10.1007/s12671-016-0648-z
Salvato, C. (2009). Capabilities unveiled: The role of ordinary activities in the evolution of product development processes. //Organization Science, 20//(2), 384-409. https://doi.org/10.1287/orsc.1080.0408
Thomas, T., Schermerhorn, J.R., & Dienhart, J.W. (2004). Strategic leadership of ethical behavior in business. //Academy of Management Executive, 18//(2), 56-66. https://doi.org/10.5465/ame.2004.13837425
Valentine, S., Godkin, L., & Varca, P.E. (2010). Role conflict, mindfulness, and organizational ethics in an education-based healthcare institution. //Journal of Business Ethics, 94//(3), 455-469. https://doi.org/10.1007/s10551-009-0276-9
Vogus, T.J., & Sutcliffe, K.M. (2012). Organizational mindfulness and mindful organizing: A reconciliation and path forward. //Academy of Management Learning & Education, 11//(4), 722-735. https://doi.org/10.5465/amle.2011.0002
Wolf, M., Beck, R., & Pahlke, I. (2012). Mindfully resisting the bandwagon: Reconceptualising it innovation assimilation in highly turbulent environments. //Journal of Information Technology, 27//(3), 213-235. https://doi.org/10.1057/jit.2012.13
Alonso, M.A., Lopez, A., Losada, A., & Gonzalez, J.L. (2013). Acceptance and commitment therapy and selective optimization with compensation for older people with chronic pain: A pilot study. //Behavioral Psychology-psicologia Conductual, 21//(1), 59-79. https://doi.org/10.1111/pme.12885
Ardito, R.B., Pirro, P.S., Re, T.S., Bonapace, I., Menardo, V., Bruno, E., ... & Gianotti, L. (2017). Mindfulness-based stress reduction program on chronic low-back pain: A study investigating the impact on endocrine, physical, and psychologic functioning. //Journal of Alternative and Complementary Medicine, 23//(8), 615-623. https://doi.org/10.1089/acm.2016.0423
Barrett, K., & Chang, Y.P. (2016). Behavioral interventions targeting chronic pain, depression, and substance use disorder in primary care. //Journal of Nursing Scholarship, 48//(4), 345-353. https://doi.org/10.1111/jnu.12213
Basson, R., Driscoll, M., & Correia, S. (2016). When sex is always painful: Provoked vestibulodynia. //British Columbia Medical Journal, 58//(2), 77-81. https://www.bcmj.org/articles/when-sex-always-painful-provoked-vestibulodynia
Bawa, F.L.M., Mercer, S.W., Atherton, R.J., Clague, F., Keen, A., Scott, N.W., ... & Bond, C.M. (2015). Does mindfulness improve outcomes in patients with chronic pain? systematic review and meta-analysis. //British Journal of General Practice, 65//(635), E387-E400. https://doi.org/10.3399/bjgp15X685297
Beales, D., Lutz, A., Thompson, J., Wand, B.M., & O'Sullivan, P. (2016). Disturbed body perception, reduced sleep, and kinesiophobia in subjects with pregnancy-related persistent lumbopelvic pain and moderate levels of disability: An exploratory study. //Manual Therapy, 21//, 69-75. https://doi.org/10.1016/j.math.2015.04.016
Beaulac, J., & Bailly, M. (2015). Mindfulness-based stress reduction: Pilot study of a treatment group for patients with chronic pain in a primary care setting. //Primary Health Care Research and Development, 16//(4), 424-428. https://doi.org/10.1017/S1463423614000346
Bjornsdottir, S.V., Arnljotsdottir, M., Tomasson, G., Triebel, J., & Valdimarsdottir, U.A. (2016). Health-related quality of life improvements among women with chronic pain: Comparison of two multidisciplinary interventions. //Disability and Rehabilitation, 38//(9), 828-836. https://doi.org/10.3109/09638288.2015.1061609
Blodt, S., Pach, D., Roll, S., & Witt, C.M. (2014). Effectiveness of app-based relaxation for patients with chronic low back pain (Relaxback) and chronic neck pain (Relaxneck): study protocol for two randomized pragmatic trials. //Trials, 15//490. https://doi.org/10.1186/1745-6215-15-490
Bluth, K., Gaylord, S., Nguyen, K., Bunevicius, A., & Girdler, S. (2015). Mindfulness-based stress reduction as a promising intervention for amelioration of premenstrual dysphoric disorder symptoms. //Mindfulness, 6//(6), 1292–1302. https://doi.org/10.1007/s12671-015-0397-4
Bonakdar, R.A. (2017). Integrative pain management. //Medical Clinics of North America, 101//(5), 987-1004. https://doi.org/10.1016/j.mcna.2017.04.012
Brotto, L.A., Basson, R., Smith, K.B., Driscoll, M., & Sadownik, L. (2015). Mindfulness-based group therapy for women with provoked vestibulodynia. //Mindfulness, 6//(3), 417-432. https://doi.org/10.1007/s12671-013-0273-z
Brown, C.A., & Jones, A.K.P. (2010). Meditation experience predicts less negative appraisal of pain: Electrophysiological evidence for the involvement of anticipatory neural responses. //Pain, 150//(3), 428-438. https://doi.org/10.1016/j.pain.2010.04.017
Brown, C.A., & Jones, A.K.P. (2013). Psychobiological correlates of improved mental health in patients with musculoskeletal pain after a mindfulness-based pain management program. //Clinical Journal of Pain, 29//(3), 233-244. https://doi.org/10.1097/AJP.0b013e31824c5d9f
Buhrman, M., Skoglund, A., Husell, J., Bergstrom, K., Gordh, T., Hursti, T., ... & Andersson, G. (2013). Guided internet-delivered acceptance and commitment therapy for chronic pain patients: A randomized controlled trial. //Behaviour Research and Therapy, 51//(6), 307-315. https://doi.org/10.1016/j.brat.2013.02.010
Cassidy, E.L., Atherton, R.J., Robertson, N., Walsh, D.A., & Gillett, R. (2012). Mindfulness, functioning and catastrophizing after multidisciplinary pain management for chronic low back pain. //Pain, 153//(3), 644-650. https://doi.org/10.1016/j.pain.2011.11.027
Chadi, N., McMahon, A., Vadnais, M., Malboeuf-Hurtubise, C., Djemli, A., Dobkin, P.L., ... & Haley, N. (2016). Mindfulness-based intervention for female adolescents with chronic pain: A pilot randomized trial. //Journal of the Canadian Academy of Child and Adolescent Psychiatry, 25//(3), 159-168. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130089/
Chavooshi, B., Mohammadkhani, P., & Dolatshahi, B. (2016). A randomized double-blind controlled trial comparing davanloo intensive short-term dynamic psychotherapy as internet-delivered vs treatment as usual for medically unexplained pain: A 6-month pilot study. //Psychosomatics, 57//(3), 292-300.
Chen, L.M., Miaskowski, C., Dodd, M., & Pantilat, S. (2008). Concepts within the Chinese culture that influence the cancer pain experience. //Cancer Nursing, 31//(2), 103-108. https://doi.org/10.1097/01.NCC.0000305702.07035.4d
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Cook, A.J., Anderson, M.L., Hawkes, R.J., ... & Turner, J.A. (2016). Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain a randomized clinical trial. //JAMA: Journal of the American Medical Association, 315//(12), 1240-1249. https://doi.org/10.1001/jama.2016.2323
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Turner, J.A., Cook, A.J., Stoelb, B., ... & Hawkes, R.J. (2014). Comparison of complementary and alternative medicine with conventional mind–body therapies for chronic back pain: protocol for the Mind–body Approaches to Pain (MAP) randomized controlled trial. //Trials, 15//211. https://doi.org/10.1186/1745-6215-15-211
Cho, S.K., Heiby, E.M., McCracken, L.M., Lee, S.M., & Moons, D.E. (2010). Pain-related anxiety as a mediator of the effects of mindfulness on physical and psychosocial functioning in chronic pain patients in Korea. //Journal of Pain, 11//(8), 789-797. https://doi.org/10.1016/j.jpain.2009.12.006
Choi, K.E., Rampp, T., Saha, F.J., Dobos, G.J., & Musial, F. (2011). Pain modulation by meditation and electroacupuncture in experimental submaximum effort tourniquet technique (sett). //Explore: The Journal of Science and Healing, 7//(4), 239-245. https://doi.org/10.1016/j.explore.2011.04.004
Cusens, B., Duggan, G.B., Thorne, K., & Burch, V. (2010). Evaluation of the breathworks mindfulness-based pain management programme: Effects on well-being and multiple measures of mindfulness. //Clinical Psychology & Psychotherapy, 17//(1), 63-78. https://doi.org/10.1002/cpp.653
Dahlke, L.A.M., Sable, J.J., & Andrasik, F. (2017). Behavioral therapy: Emotion and pain, a common anatomical background. //Neurological Sciences, 38//, S157-S161. https://doi.org/10.1007/s10072-017-2928-3
Davis, M.C., Zautra, A.J., Wolf, L.D., Tennen, H., & Yeung, E.W. (2015). Mindfulness and cognitive-behavioral interventions for chronic pain: Differential effects on daily pain reactivity and stress reactivity. //Journal of Consulting and Clinical Psychology, 83//(1), 24-35. https://doi.org/10.1037/a0038200
Day, M.A., & Thorn, B.E. (2016). The mediating role of pain acceptance during mindfulness-based cognitive therapy for headache. //Complementary Therapies in Medicine, 25//, 51-54. https://doi.org/10.1016/j.ctim.2016.01.002
Day, M.A., & Thorn, B.E. (2017). Mindfulness-based cognitive therapy for headache pain: An evaluation of the long-term maintenance of effects. //Complementary Therapies in Medicine, 33//, 94-98. https://doi.org/10.1016/j.ctim.2017.06.009
Day, M.A., Halpin, J., & Thorn, B.E. (2016). An empirical examination of the role of common factors of therapy during a mindfulness-based cognitive therapy intervention for headache pain. //Clinical Journal of Pain, 32//(5), 420-427. https://doi.org/10.1097/AJP.0000000000000277
Day, M.A., Jensen, M.P., Ehde, D.M., & Thorn, B.E. (2014). Toward a theoretical model for mindfulness-based pain management. //Journal of Pain, 15//(7), 691-703. https://doi.org/10.1016/j.jpain.2014.03.003
Day, M.A., Smitherman, A., Ward, L.C., & Thorn, B.E. (2015). An investigation of the associations between measures of mindfulness and pain catastrophizing. //Clinical Journal of Pain, 31//(3), 222-228. https://doi.org/10.1097/AJP.0000000000000102
Day, M.A., Thorn, B.E., & Rubin, N.J. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain: A mixed-methods analysis comparing treatment responders and treatment non-responders. //Complementary Therapies in Medicine, 22//(2), 278-285. https://doi.org/10.1016/j.ctim.2013.12.018
Day, M.A., Thorn, B.E., Ward, L.C., Rubin, N., Hickman, S.D., Scogin, F., ... & Kilgo, G.R. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain a pilot study. //Clinical Journal of Pain, 30//(2), 152-161. https://doi.org/10.1097/AJP.0b013e318287a1dc
de Boer, M.J., Steinhagen, H.E., Versteegen, G.J., Struys, M.M.R.F., & Sanderman, R. (2014). Mindfulness, acceptance and catastrophizing in chronic pain. //PLOS ONE, 9//(1). https://doi.org/10.1371/journal.pone.0087445
de Jong, M., Lazar, S.W., Hug, K., Mehling, W.E., Holzel, B.K., Sack, A.T., ... & Gard, T. (2016). Effects of mindfulness-based cognitive therapy on body awareness in patients with chronic pain and comorbid depression. //Frontiers in Psychology, 7//, 967. https://doi.org/10.3389/fpsyg.2016.00967
Doran, N.J. (2014). Experiencing wellness within illness: Exploring a mindfulness-based approach to chronic back pain. //Qualitative Health Research, 24//(6), 749-760. https://doi.org/10.1177/1049732314529662
Dowd, H., Hogan, M.J., McGuire, B.E., Davis, M.C., Sarma, K.M., Fish, R.A., ... & Zautra, A.J. (2015). Comparison of an online mindfulness-based cognitive therapy intervention with online pain management psychoeducation a randomized controlled study. //Clinical Journal of Pain, 31//(6), 517-527. https://doi.org/10.1097/AJP.0000000000000201
Dresner, D., Barnett, K.G., Resnick, K., Laird, L.D., & Gardiner, P. (2016). Listening to their words: A qualitative analysis of integrative medicine group visits in an urban underserved medical setting. //Pain Medicine, 17//(6), 1183-1191. https://doi.org/10.1093/pm/pnw030
Elander, J., Duarte, J., Maratos, F.A., & Gilbert, P. (2014). Opioids, substance abuse & addictions section. //Pain Medicine, 15//(4), 613-624. https://doi.org/10.1111/pme.12263
Elvery, N., Jensen, M.P., Ehde, D.M., & Day, M.A. (2017). Pain catastrophizing, mindfulness, and pain acceptance: What's the difference?. //Clinical Journal of Pain, 33//(6), 485-495. https://doi.org/10.1097/AJP.0000000000000430
Esch, T., Winkler, J., Auwarter, V., Gnann, H., Huber, R., & Schmidt, S. (2017). Neurobiological aspects of mindfulness in pain autoregulation: Unexpected results from a randomized-controlled trial and possible implications for meditation research. //Frontiers in Human Neuroscience, 10//, 674. https://doi.org/10.3389/fnhum.2016.00674
Evans, D.R., Eisenlohr-Moul, T.A., Button, D.F., Baer, R.A., & Segerstrom, S.C. (2014). Self-regulatory deficits associated with unpracticed mindfulness strategies for coping with acute pain. //Journal of Applied Social Psychology, 44//(1), 23-30. https://doi.org/10.1111/jasp.12196
Forsyth, L., & Hayes, L.L. (2014). The effects of acceptance of thoughts, mindful awareness of breathing, and spontaneous coping on an experimentally induced pain task. //Psychological Record, 64//(3), 447-455. https://doi.org/10.1007/s40732-014-0010-6
Fox, S.D., Flynn, E., & Allen, R.H. (2011). Mindfulness meditation for women with chronic pelvic pain a pilot study. //Journal of Reproductive Medicine, 56//(42798), 158-162. https://clinicaltrials.gov/ct2/show/NCT02721108
Gard, T., Holzel, B.K., Sack, A.T., Hempel, H., Lazar, S.W., Vaitl, D., ... & Ott, U. (2012). Pain attenuation through mindfulness is associated with decreased cognitive control and increased sensory processing in the brain. //Cerebral Cortex, 22//(11), 2692-2702. https://doi.org/10.1093/cercor/bhr352
Gardner-Nix, J., Backmant, S., Barbati, J., & Grummitt, J. (2008). Evaluating distance education of a mindfulness-based meditation programme for chronic pain management. //Journal of Telemedicine and Telecare, 14//(2), 88-92. https://doi.org/10.1258/jtt.2007.070811
Gardner-Nix, J., Barbati, J., Grummitt, J., Pukal, S., & Newton, R.R. (2014). Exploring the effectiveness of a mindfulness-based chronic pain management course delivered simultaneously to on-site and off-site patients using telemedicine. //Mindfulness, 5//(3), 223-231. https://doi.org/10.1007/s12671-012-0169-3
Garland, E.L., & Howard, M.O. (2013). Mindfulness-oriented recovery enhancement reduces pain attentional bias in chronic pain patients. //Psychotherapy and Psychosomatics, 82//(5), 311-318. https://doi.org/10.1159/000348868
Garland, E.L., Baker, A.K., Larsen, P., Riquino, M.R., Priddy, S.E., Thomas, E., ... & Nakamura, Y. (2017). Randomized controlled trial of brief mindfulness training and hypnotic suggestion for acute pain relief in the hospital setting. //Journal of General Internal Medicine, 32//(10), 1106-1113. https://doi.org/10.1007/s11606-017-4116-9
Garland, E.L., Bryan, C.J., Finan, P.H., Thomas, E.A., Priddy, S.E., Riquino, M.R., ... & Howard, M.O. (2017). Pain, hedonic regulation, and opioid misuse: Modulation of momentary experience by mindfulness-oriented recovery enhancement in opioid-treated chronic pain patients. //Drug and Alcohol Dependence, 173//, S65-S72. https://doi.org/10.1016/j.drugalcdep.2016.07.033
Garland, E.L., Gaylord, S.A., Palsson, O., Faurot, K., Mann, J.D., & Whitehead, W.E. (2012). Therapeutic mechanisms of a mindfulness-based treatment for ibs: Effects on visceral sensitivity, catastrophizing, and affective processing of pain sensations. //Journal of Behavioral Medicine, 35//(6), 591-602. https://doi.org/10.1007/s10865-011-9391-z
Garland, E.L., Manusov, E.G., Froeliger, B., Kelly, A., Williams, J.M., & Howard, M.O. (2014). Mindfulness-oriented recovery enhancement for chronic pain and prescription opioid misuse: Results from an early-stage randomized controlled trial. //Journal of Consulting and Clinical Psychology, 82//(3), 448-459. https://doi.org/10.1037/a0035798
Garland, E.L., Thomas, E., & Howard, M.O. (2014). Mindfulness-oriented recovery enhancement ameliorates the impact of pain on self-reported psychological and physical function among opioid-using chronic pain patients. //Journal of Pain and symptom management, 48//(6), 1091-1099. https://doi.org/10.1016/j.jpainsymman.2014.03.006
George, M.C., Wongmek, A., Kaku, M., Nmashie, A., & Robinson-Papp, J. (2017). A mixed-methods pilot study of mindfulness-based stress reduction for hiv-associated chronic pain. //Behavioral Medicine, 43//(2), 108-119. https://doi.org/10.1080/08964289.2015.1107525
Ginzburg, K., Tsur, N., Karmin, C., Speizman, T., Tourgeman, R., & Defrin, R. (2015). Body awareness and pain habituation: The role of orientation towards somatic signals. //Journal of Behavioral Medicine, 38//(6), 876-885. https://doi.org/10.1007/s10865-015-9676-8
Goyal, M., Haythornthwaite, J., Levine, D., Becker, D., Vaidya, D., Hill-Briggs, F., ... & Ford, D. (2010). Intensive meditation for refractory pain and symptoms. //Journal of Alternative and Complementary Medicine, 16//(6), 627-631. https://doi.org/10.1089/acm.2009.0372
Grant, J.A. (2014). Meditative analgesia: The current state of the field. Advances in meditation research: //Neuroscience and clinical applications, 1307//, 55-63. https://doi.org/10.1111/nyas.12282
Grant, J.A., & Rainville, P. (2009). Pain sensitivity and analgesic effects of mindful states in zen meditators: A cross-sectional study. //Psychosomatic Medicine, 71//(1), 106-114. https://doi.org/10.1097/PSY.0b013e31818f52ee
Grant, J.A., Courtemanche, J., & Rainville, P. (2011). A non-elaborative mental stance and decoupling of executive and pain-related cortices predicts low pain sensitivity in zen meditators. //Pain, 152//(1), 150-156. https://doi.org/10.1016/j.pain.2010.10.006
Grant, J.A., Courtemanche, J., Duerden, E.G., Duncan, G.H., & Rainville, P. (2010). Cortical thickness and pain sensitivity in zen meditators. //Emotion, 10//(1), 43-53. https://doi.org/10.1037/a0018334
Hansen, K.E., Kesmodel, U.S., Kold, M., & Forman, A. (2017). Long-term effects of mindfulness-based psychological intervention for coping with pain in endometriosis: A six-year follow-up on a pilot study. //Nordic Psychology, 69//(2), 100-109. https://doi.org/10.1080/19012276.2016.118156
Hassed, C. (2013). Mind-body therapies use in chronic pain management. //Australian Family Physician, 42//(3), 112-117. https://www.medscape.com/medline/abstract/23529519
Hearn, J.H., Finlay, K.A., & Fine, P.A. (2016). The devil in the corner: A mixed-methods study of metaphor use by those with spinal cord injury-specific neuropathic pain. //British Journal of Health Psychology, 21//(4), 973-988. https://doi.org/10.1111/bjhp.12211
Henriksson, J., Wasara, E., & Ronnlund, M. (2016). Effects of eight-week-web-based mindfulness training on pain intensity, pain acceptance, and life satisfaction in individuals with chronic pain. //Psychological Reports, 119//(3), 586-607. https://doi.org/10.1177/0033294116675086
Howarth, A., Perkins-Porras, L., Smith, J.G., Subramaniam, J., Copland, C., Hurley, M., ... & Ussher, M. (2016). Pilot study evaluating a brief mindfulness intervention for those with chronic pain: Study protocol for a randomized controlled trial. //Trials, 17//. https://doi.org/10.1186/s13063-016-1405-2
Jay, K., Brandt, M., Hansen, K., Sundstrup, E., Jakobsen, M.D., Schraefel, M., ... & Andersen, L.L. (2015). Effect of individually tailored biopsychosocial workplace interventions on chronic musculoskeletal pain and stress among laboratory technicians: Randomized controlled trial. //Pain Physician, 18//(5), 444. https://doi.org/10.1186/1471-2474-15-444
Jeitler, M., Brunnhuber, S., Meier, L., Ludtke, R., Bussing, A., Kessler, C., ... & Michalsen, A. (2015). Effectiveness of Jyoti meditation for patients with chronic neck pain and psychological distress-a randomized controlled clinical trial. //Journal of Pain, 16//(1), 77-86. https://doi.org/10.1016/j.jpain.2014.10.009
Johannsen, M., O'Connor, M., O'Toole, M.S., Jensen, A.B., Hojris, I., & Zachariae, R. (2016). Efficacy of mindfulness-based cognitive therapy on late post-treatment pain in women treated for primary breast cancer: A randomized controlled trial. //Journal of Clinical Oncology, 34//(28), 3390-+. https://doi.org/10.1200/JCO.2015.65.0770
Johannsen, M., O'Toole, M.S., O'Connor, M., Jensen, A.B., & Zachariae, R. (2017). Clinical and psychological moderators of the effect of mindfulness-based cognitive therapy on persistent pain in women treated for primary breast cancer – explorative analyses from a randomized controlled trial. //Acta Oncologica, 56//(2), 321-328. https://doi.org/10.1080/0284186X.2016.1268713
Johnston, M., Foster, M., Shennan, J., Starkey, N.J., & Johnson, A. (2010). The effectiveness of an acceptance and commitment therapy self-help intervention for chronic pain. //Clinical Journal of Pain, 26//(5), 393-402. https://doi.org/10.1097/AJP.0b013e3181cf59ce
Jones, M.I., & Parker, J.K. (2016). A conditional process model of the effect of mindfulness on 800-m personal best times through pain catastrophising. //Journal of Sports Sciences, 34//(12), 1132-1140. https://doi.org/10.1080/02640414.2015.1093648
Kingston, J., Chadwick, P., Meron, D., & Skinner, T.C. (2007). A pilot randomized control trial investigating the effect of mindfulness practice on pain tolerance, psychological well-being, and physiological activity. //Journal of Psychosomatic Research, 62//(3), 297-300. https://doi.org/10.1016/j.jpsychores.2006.10.007
Kold, M., Hansen, T., Vedsted-Hansen, H., & Forman, A. (2012). Mindfulness-based psychological intervention for coping with pain in endometriosis. //Nordic Psychology, 64//(1), 2-16. https://doi.org/10.1080/19012276.2012.693727
la Cour, P., & Petersen, M. (2015). Effects of mindfulness meditation on chronic pain: A randomized controlled trial. //Pain Medicine, 16//(4), 641-652. https://doi.org/10.1111/pme.12605
LaChapelle, D.L., Lavoie, S., & Boudreau, A. (2008). The meaning and process of pain acceptance. perceptions of women living with arthritis and fibromyalgia. //Pain Research & Management, 13//(3), 201-210. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671308/
Lange, K., Gorbunova, A., & Christ, O. (2012). The influence of mindfulness on different aspects of pain perception and affective reactivity to pain - feasibility of a multimethodical approach. //Mindfulness, 3//(3), 209-217. https://doi.org/10.1007/s12671-012-0113-6
Lee, A.C., Harvey, W.F., Price, L.L., Morgan, L.P.K., Morgan, N.L., & Wang, C. (2017). Mindfulness is associated with psychological health and moderates pain in knee osteoarthritis. //Osteoarthritis and Cartilage, 25//(6), 824-831. https://doi.org/10.1016/j.joca.2016.06.017
Liu, X.H., Wang, S.S., Chang, S.C., Chen, W.J., & Si, M. (2013). Effect of brief mindfulness intervention on tolerance and distress of pain induced by cold-pressor task. //Stress and Health, 29//(3), 199-204. https://doi.org/10.1002/smi.2446
Lutz, A., McFarlin, D.R., Perlman, D.M., Salomons, T.V., & Davidson, R.J. (2013). Altered anterior insula activation during anticipation and experience of painful stimuli in expert meditators. //Neuroimage, 64//, 538-546. https://doi.org/10.1016/j.neuroimage.2012.09.030
Mano, K.E.J., Salamon, K.S., Hainsworth, K.R., Khan, K.J.A., Ladwig, R.J., Davies, W.H., ... & Weisman, S.J. (2013). A randomized, controlled pilot study of mindfulness-based stress reduction for pediatric chronic pain. //Alternative Therapies in Health and Medicine, 19//(6), 8-14. https://www.medscape.com/medline/abstract/24254033
Martin, S., Wolters, P.L., Toledo-Tamula, M.A., Schmitt, S.N., Baldwin, A., Starosta, A., ... & Widemann, B. (2016). Acceptance and commitment therapy in youth with neurofibromatosis type 1 (nf1) and chronic pain and their parents: A pilot study of feasibility and preliminary efficacy. //American Journal of Medical Genetics Part a, 170//(6), 1462-1470. https://doi.org/10.1002/ajmg.a.37623
McCracken, L.A., & Vowles, K.E. (2008). A prospective analysis of acceptance of pain and values-based action in patients with chronic pain. //Health Psychology, 27//(2), 215-220. https://doi.org/10.1037/0278-6133.27.2.215
McCracken, L.M., & Gutierrez-Martinez, O. (2011). Processes of change in psychological flexibility in an interdisciplinary group-based treatment for chronic pain based on acceptance and commitment therapy. //Behaviour Research and Therapy, 49//(4), 267-274. https://doi.org/10.1016/j.brat.2011.02.004
McCracken, L.M., & Jones, R. (2012). Treatment for Chronic Pain for Adults in the Seventh and Eighth Decades of Life: A Preliminary Study of Acceptance and Commitment Therapy (ACT). //Pain Medicine, 13//(7), 861-867. https://doi.org/10.1111/j.1526-4637.2012.01407.x
McCracken, L.M., & Keogh, E. (2009). Acceptance, mindfulness, and values-based action may counteract fear and avoidance of emotions in chronic pain: An analysis of anxiety sensitivity. //Journal of Pain, 10//(4), 408-415. https://doi.org/10.1016/j.jpain.2008.09.015
McCracken, L.M., & Velleman, S.C. (2010). Psychological flexibility in adults with chronic pain: A study of acceptance, mindfulness, and values-based action in primary care. //Pain, 148//(1), 141-147. https://doi.org/10.1016/j.pain.2009.10.034
McCracken, L.M., DaSilva, P., Skillicorn, B., & Doherty, R. (2014). The cognitive fusion questionnaire a preliminary study of psychometric properties and prediction of functioning in chronic pain. //Clinical Journal of Pain, 30//(10), 894-901. https://doi.org/10.1097/AJP.0000000000000047
McCracken, L.M., Gauntlett-Gilbert, J., & Vowles, K.E. (2007). The role of mindfulness in a contextual cognitive-behavioral analysis of chronic pain-related suffering and disability. //Pain, 131//(42737), 63-69. https://doi.org/10.1016/j.pain.2006.12.013
McCracken, L.M., Gutierrez-Martinez, O., & Smyth, C. (2013). Decentering reflects psychological flexibility in people with chronic pain and correlates with their quality of functioning. //Health Psychology, 32//(7), 820-823. https://doi.org/10.1037/a0028093
Merrill, R.L., & Goodman, D. (2016). Chronic orofacial pain and behavioral medicine. //Oral and Maxillofacial Surgery Clinics of North America, 28//(3), 247-260. https://doi.org/10.1016/j.coms.2016.03.007
Michalsen, A., Kunz, N., Jeitler, M., Brunnhuber, S., Meier, L., Ludtke, R., ... & Kessler, C. (2016). Effectiveness of focused meditation for patients with chronic low back pain-a randomized controlled clinical trial. //Complementary Therapies in Medicine, 26//, 79-84. https://doi.org/10.1016/j.ctim.2016.03.010
Moore, K.M., & Martin, M.E. (2015). Using mbct in a chronic pain setting: A qualitative analysis of participants' experiences. //Mindfulness, 6//(5),1129–1136. https://doi.org/10.1007/s12671-014-0363-6
Morone, N.E., Greco, C.M., & Weiner, D.K. (2008). Mindfulness meditation for the treatment of chronic low back pain in older adults: A randomized controlled pilot study. //Pain, 134//(3), 310-319. https://doi.org/10.1016/j.pain.2007.04.038
Morone, N.E., Greco, C.M., Moore, C.G., Rollman, B.L., Lane, B., Morrow, L.A., ... & Weiner, D.K. (2016). A mind-body program for older adults with chronic low back pain a randomized clinical trial. //JAMA Internal Medicine, 176//(3), 329-337. https://doi.org/10.1001/jamainternmed.2015.8033
Morone, N.E., Greco, C.M., Rollman, B.L., Moore, C.G., Lane, B., Morrow, L., ... & Weiner, D.K. (2012). The design and methods of the aging successfully with pain study. //Contemporary Clinical Trials, 33//(2), 417-425. https://doi.org/10.1016/j.cct.2011.11.012
Morone, N.E., Lynch, C.S., Greco, C.M., Tindle, H.A., & Weiner, D.K. (2008). I felt like a new person. the effects of mindfulness meditation on older adults with chronic pain: Qualitative narrative analysis of diary entries. //Journal of Pain, 9//(9), 841-848. https://doi.org/10.1016/j.jpain.2008.04.003
Morone, N.E., Rollman, B.L., Moore, C.G., Qin, L., & Weiner, D.K. (2009). A mind-body program for older adults with chronic low back pain: Results of a pilot study. //Pain Medicine, 10//(8), 1395-1407. https://doi.org/10.1111/j.1526-4637.2009.00746.x
Mun, C.J., Okun, M.A., & Karoly, P. (2014). Trait mindfulness and catastrophizing as mediators of the association between pain severity and pain-related impairment. //Personality and Individual Differences, 66//, 68-73. https://doi.org/10.1016/j.paid.2014.03.016
Nes, A.A.G., van Dulmen, S., Wicksell, R., Fors, E.A., & Eide, H. (2017). Analyzing change processes resulting from a smartphone maintenance intervention based on acceptance and commitment therapy for women with chronic widespread pain. //International Journal of Behavioral Medicine, 24//(2), 215-229. https://doi.org/10.1007/s12529-016-9590-7
Panta, P. (2017). The possible role of meditation in myofascial pain syndrome: A new hypothesis. //Indian Journal of Palliative Care, 23//(2), 180-187. https://doi.org/10.4103/0973-1075.204239
Peilot, B., Andrell, P., Samuelsson, A., Mannheimer, C., Frodi, A., & Sundler, A.J. (2014). Time to gain trust and change-experiences of attachment and mindfulness-based cognitive therapy among patients with chronic pain and psychiatric co-morbidity. //International Journal of Qualitative Studies on Health and Well-being, 9//. https://doi.org/10.3402/qhw.v9.24420
Petter, M., Chambers, C.T., & Chorney, J.M. (2013). The effects of mindful attention on cold pressor pain in children. //Pain Research & Management, 18//(1), 39-45. http://dx.doi.org/10.1155/2013/857045
Petter, M., Chambers, C.T., McGrath, P.J., & Dick, B.D. (2013). The role of trait mindfulness in the pain experience of adolescents. //Journal of Pain, 14//(12), 1709-1718. https://doi.org/10.1016/j.jpain.2013.08.015
Petter, M., McGrath, P.J., Chambers, C.T., & Dick, B.D. (2014). The effects of mindful attention and state mindfulness on acute experimental pain among adolescents. //Journal of Pediatric Psychology, 39//(5), 521-531. https://doi.org/10.1093/jpepsy/jsu007
Plews-Ogan, M., Owens, J.E., Goodman, M., Wolfe, P., & Schorling, J. (2005). Brief report: A pilot study evaluating mindfulness-based stress reduction and massage for the management of chronic pain. //Journal of General Internal Medicine, 20//(12), 1136-1138. https://doi.org/10.1111/j.1525-1497.2005.0247.x
Poulin, P.A., Romanow, H.C., Rahbari, N., Small, R., Smyth, C.E., Hatchard, T., ... & Wilson, K.G. (2016). The relationship between mindfulness, pain intensity, pain catastrophizing, depression, and quality of life among cancer survivors living with chronic neuropathic pain. //Supportive Care in Cancer, 24//(10), 4167-4175. https://doi.org/10.1007/s00520-016-3243-x
Prins, B., Decuypere, A., & Van Damme, S. (2014). Effects of mindfulness and distraction on pain depend upon individual differences in pain catastrophizing: An experimental study. //European Journal of Pain, 18//(9), 1307-1315. https://doi.org/10.1002/j.1532-2149.2014.491.x
Rabey, M., Smith, A., Beales, D., Slater, H., & O'Sullivan, P. (2016). Differing psychologically derived clusters in people with chronic low back pain are associated with different multidimensional profiles. //Clinical Journal of Pain, 32//(12), 1015-1027. https://doi.org/10.1097/AJP.0000000000000363
Reiner, K., Granot, M., Soffer, E., & Lipsitz, J.D. (2016). A brief mindfulness meditation training increases pain threshold and accelerates modulation of response to tonic pain in an experimental study. //Pain Medicine, 17//(4), 628-635. https://doi.org/10.1111/pme.12883
Rodero, B., Pereira, J.P., Perez-Yus, M.C., Casanueva, B., Serrano-Blanco, A., Ribeiro, M.J.R.D., ... & Garcia-Campayo, J. (2013). Validation of a spanish version of the psychological inflexibility in pain scale (PIPS) and an evaluation of its relation with acceptance of pain and mindfulness in sample of persons with fibromyalgia. //Health and Quality of Life Outcomes, 11//. https://doi.org/10.1186/1477-7525-11-62
Rosenzweig, S., Greeson, J.M., Reibel, D.K., Green, J.S., Jasser, S.A., & Beasley, D. (2010). Mindfulness-based stress reduction for chronic pain conditions: Variation in treatment outcomes and role of home meditation practice. //Journal of Psychosomatic Research, 68//(1), 29-36. https://doi.org/10.1016/j.jpsychores.2009.03.010
Ruskin, D.A., Gagnon, M.M., Kohut, S.A., Stinson, J.N., & Walker, K.S. (2017). A mindfulness program adapted for adolescents with chronic pain feasibility, acceptability, and initial outcomes. //Clinical Journal of Pain, 33//(11), 1019-1029. https://doi.org/10.1097/AJP.0000000000000490
Schmidt, S., Gmeiner, S., Schultz, C., Lower, M., Kuhn, K., Naranjo, J.R., ... & Hinterberger, T. (2015). Mindfulness-based stress reduction (mbsr) as treatment for chronic back pain - an observational study with assessment of thalamocortical dysrhythmia. //Forschende Komplementarmedizin, 22//(5), 298-303. https://doi.org/10.1159/000440687
Schutze, R., Rees, C., Preece, M., & Schutze, M. (2010). Low mindfulness predicts pain catastrophizing in a fear-avoidance model of chronic pain. //Pain, 148//(1), 120-127. https://doi.org/10.1016/j.pain.2009.10.030
Schutze, R., Slater, H., O'Sullivan, P., Thornton, J., Finlay-Jones, A., & Rees, C.S. (2014). Mindfulness-based functional therapy: A preliminary open trial of an integrated model of care for people with persistent low back pain. //Frontiers in Psychology, 5//, 839. https://doi.org/10.3389/fpsyg.2014.00839
Shariff, F., Carter, J., Dow, C., Polley, M., Salinas, M., & Ridge, D. (2009). Mind and body management strategies for chronic pain and rheumatoid arthritis. //Qualitative Health Research, 19//(8), 1037-1049. https://doi.org/10.1177/1049732309341189
Sharon, H., Maron-Katz, A., Ben Simon, E., Flusser, Y., Hendler, T., Tarrasch, R., ... & Brill, S. (2016). Mindfulness Meditation Modulates Pain Through Endogenous Opioids. //American Journal of Medicine, 129//(7), 755-758. https://doi.org/10.1016/j.amjmed.2016.03.002
Sharpe, L., Perry, K.N., Rogers, P., Dear, B.F., Nicholas, M.K., & Refshauge, K. (2010). A comparison of the effect of attention training and relaxation on responses to pain. //Pain, 150//(3), 469-476. https://doi.org/10.1016/j.pain.2010.05.027
Sharpe, L., Perry, K.N., Rogers, P., Refshauge, K., & Nicholas, M.K. (2013). A comparison of the effect of mindfulness and relaxation on responses to acute experimental pain. //European Journal of Pain, 17//(5), 742-752. https://doi.org/10.1002/j.1532-2149.2012.00241.x
Singh, B.B., Berman, B.M., Hadhazy, V.A., & Creamer, P. (1998). A pilot study of cognitive behavioral therapy in fibromyalgia. //Alternative Therapies in Health and Medicine, 4//(2), 67-70. https://www.researchgate.net/publication/13601675_Pilot_study_of_cognitive_behavioral_therapy_in_fibromyalgia
Smith, K.E., & Norman, G.J. (2017). Brief relaxation training is not sufficient to alter tolerance to experimental pain in novices. //PLOS ONE, 12//(5). https://doi.org/10.1371/journal.pone.0177228
Su, I.W., Wu, F.W., Liang, K.C., Cheng, K.Y., Hsieh, S.T., Sun, W.Z., ... & Chou, T.L. (2016). Pain Perception Can Be Modulated by Mindfulness Training: A Resting-State fMRI Study. //Frontiers in Human Neuroscience, 10//, 570. https://doi.org/10.3389/fnhum.2016.00570
Thomas, E.A., & Garland, E.L. (2017). Mindfulness is associated with increased hedonic capacity among chronic pain patients receiving extended opioid pharmacotherapy. //Clinical Journal of Pain, 33//(2), 166-173. https://doi.org/10.1097/AJP.0000000000000379
Trompetter, H.R., Bohlmeijer, E.T., van Baalen, B., Kleen, M., Koke, A., Reneman, M., ... & Schreurs, K.M.G. (2014). The psychological inflexibility in pain scale (pips) exploration of psychometric properties in a heterogeneous chronic pain sample. //European Journal of Psychological Assessment, 30//(4), 289-295. https://doi.org/10.1027/1015-5759/a000191
Trompetter, H.R., Bohlmeijer, E.T., Veehof, M.M., & Schreurs, K.M.G. (2015). Internet-based guided self-help intervention for chronic pain based on acceptance and commitment therapy: A randomized controlled trial. //Journal of Behavioral Medicine, 38//(1), 66-80. https://doi.org/10.1007/s10865-014-9579-0
Trompetter, H.R., ten Klooster, P.M., Schreurs, K.M.G., Fledderus, M., Westerhof, G.J., & Bohlmeijer, E.T. (2013). Measuring values and committed action with the engaged living scale (els): Psychometric evaluation in a nonclinical sample and a chronic pain sample. //Psychological Assessment, 25//(4), 1235-1246. https://doi.org/10.1037/a0033813
Turner, J.A., Anderson, M.L., Balderson, B.H., Cook, A.J., Sherman, K.J., & Cherkin, D.C. (2016). Mindfulness-based stress reduction and cognitive behavioral therapy for chronic low back pain: Similar effects on mindfulness, catastrophizing, self-efficacy, and acceptance in a randomized controlled trial. //Pain, 157//(11), 2434-2444. https://doi.org/10.1097/j.pain.0000000000000635
Ussher, M., Spatz, A., Copland, C., Nicolaou, A., Cargill, A., Amini-Tabrizi, N., ... & McCracken, L.M. (2014). Immediate effects of a brief mindfulness-based body scan on patients with chronic pain. //Journal of Behavioral Medicine, 37//(1), 127-134. https://doi.org/10.1007/s10865-012-9466-5
Vowles, K.E., & McCracken, L.M. (2008). Acceptance and values-based action in chronic pain: A study of treatment effectiveness and process. //Journal of Consulting and Clinical Psychology, 76//(3), 397-407. https://doi.org/10.1037/0022-006X.76.3.397
Vowles, K.E., & McCracken, L.M. (2010). Comparing the role of psychological flexibility and traditional pain management coping strategies in chronic pain treatment outcomes. //Behaviour Research and Therapy, 48//(2), 141-146. https://doi.org/10.1016/j.brat.2009.09.011
Vowles, K.E., Sowden, G., & Ashworth, J. (2014). A comprehensive examination of the model underlying acceptance and commitment therapy for chronic pain. //Behavior Therapy, 45//(3), 390-401. https://doi.org/10.1016/j.beth.2013.12.009
Waelde, L.C., Feinstein, A.B., Bhandari, R., Griffin, A., Yoon, I.A., & Golianu, B. (2017). A pilot study of mindfulness meditation for pediatric chronic pain. //Children-basel, 4//(5). https://doi.org/10.3390/children4050032
Weinrib, A.Z., Burns, L.C., Mu, A., Azam, M.A., Ladak, S.S.J., McRae, K., ... & Clarke, H. (2017). A case report on the treatment of complex chronic pain and opioid dependence by a multidisciplinary transitional pain service using the ACT Matrix and buprenorphine/naloxone. //Journal of Pain research, 10//, 747-755. https://doi.org/10.2147/JPR.S124566
Werner, A., Uldbjerg, N., Zachariae, R., Rosen, G., & Nohr, E.A. (2013). Self-hypnosis for coping with labour pain: A randomised controlled trial. //Bjog-an International Journal of Obstetrics and Gynaecology, 120//(3), 346-353. https://doi.org/10.1111/1471-0528.12087
Wetherell, J.L., Afari, N., Rutledge, T., Sorrell, J.T., Stoddard, J.A., Petkus, A.J., ... & Atkinson, J.H. (2011). A randomized, controlled trial of acceptance and commitment therapy and cognitive-behavioral therapy for chronic pain. //Pain, 152//(9), 2098-2107. https://doi.org/10.1016/j.pain.2011.05.016
Wetherell, J.L., Petkus, A.J., Alonso-Fernandez, M., Bower, E.S., Steiner, A.R.W., & Afari, N. (2016). Age moderates response to acceptance and commitment therapy vs. cognitive behavioral therapy for chronic pain. //International Journal of Geriatric Psychiatry, 31//(3), 302-308. https://doi.org/10.1002/gps.4330
Whitburn, L.Y., Jones, L.E., Davey, M.A., & Small, R. (2014). Women's experiences of labour pain and the role of the mind: An exploratory study. //Midwifery, 30//(9), 1029-1035. https://doi.org/10.1016/j.midw.2014.04.005
Williams, H., Silva, S., Simmons, L.A., & Tanabe, P. (2017). A telephonic mindfulness-based intervention for persons with sickle cell disease: Study protocol for a randomized controlled trial. //Trials, 18//218. https://doi.org/10.1186/s13063-017-1948-x
Wong, S.Y.S., Chan, F.W.K., Wong, R.L.P., Chu, M.C., Lam, Y.Y.K., Mercer, S.W., ... & Ma, S.H. (2011). Comparing the effectiveness of mindfulness-based stress reduction and multidisciplinary intervention programs for chronic pain a randomized comparative trial. //Clinical Journal of Pain, 27//(8), 724-734. https://doi.org/10.1097/AJP.0b013e3182183c6e
Wright, C.J., & Schutte, N.S. (2014). The relationship between greater mindfulness and less subjective experience of chronic pain: Mediating functions of pain management self-efficacy and emotional intelligence. //Australian Journal of Psychology, 66//(3), 181-186. https://doi.org/10.1111/ajpy.12041
Zangi, H.A., & Haugli, L. (2017). Vitality training-a mindfulness- and acceptance-based intervention for chronic pain. //Patient Education and Counseling, 100//(11), 2095-2097. https://doi.org/10.1016/j.pec.2017.05.032
Zautra, A.J., Davis, M.C., Reich, J.W., Tennen, H., Irwin, M.R., Nicassio, P., ... & Parrish, B. (2008). Comparison of cognitive behavioral and mindfulness meditation interventions on adaptation to rheumatoid arthritis for patients with and without history of recurrent depression. //Journal of Consulting and Clinical Psychology, 76//(3), 408-421. https://doi.org/10.1037/0022-006X.76.3.408
Zeidan, F., & Vago, D.R. (2016). Mindfulness meditation-based pain relief: A mechanistic account. //Special Issue: Advances in Meditation Research, 1373//, 114-127. https://doi.org/10.1111/nyas.13153
Zeidan, F., Adler-Neal, A.L., Wells, R.E., Stagnaro, E., May, L.M., Eisenach, J.C., ... & Coghill, R.C. (2016). Mindfulness-Meditation-Based Pain Relief Is Not Mediated by Endogenous Opioids. //Journal of Neuroscience, 36//(11), 3391-3397. https://doi.org/10.1523/JNEUROSCI.4328-15.2016
Zeidan, F., Emerson, N.M., Farris, S.R., Ray, J.N., Jung, Y., McHaffie, J.G., ... & Coghill, R.C. (2015). Mindfulness meditation-based pain relief employs different neural mechanisms than placebo and sham mindfulness meditation-induced analgesia. //Journal of Neuroscience, 35//(46). https://doi.org/10.1523/JNEUROSCI.2542-15.2015
Zeidan, F., Gordon, N.S., Merchant, J., & Goolkasian, P. (2010). The effects of brief mindfulness meditation training on experimentally induced pain. //Journal of Pain, 11//(3), 199-209. https://doi.org/10.1016/j.jpain.2009.07.015
Zeidan, F., Martucci, K.T., Kraft, R.A., Gordon, N.S., McHaffie, J.G., & Coghill, R.C. (2011). Brain mechanisms supporting the modulation of pain by mindfulness meditation. //Journal of Neuroscience, 31//(14), 5540-5548. https://doi.org/10.1523/JNEUROSCI.5791-10.2011
Zgierska, A.E., Burzinski, C.A., Cox, J., Kloke, J., Singles, J., Mirgain, S., ... & Backonja, M. (2016). Mindfulness meditation-based intervention is feasible, acceptable, and safe for chronic low back pain requiring long-term daily opioid therapy. //Journal of Alternative and Complementary Medicine, 22//(8), 610-620. https://doi.org/10.1089/acm.2015.0314
Zgierska, A.E., Burzinski, C.A., Cox, J., Kloke, J., Stegner, A., Cook, D.B., ... & Backonja, M. (2016). Mindfulness meditation and cognitive behavioral therapy intervention reduces pain severity and sensitivity in opioid-treated chronic low back pain: Pilot findings from a randomized controlled trial. //Pain Medicine, 17//(10), 1865-1881. https://doi.org/10.1093/pm/pnw006
Beng, T.S., Chin, L.E., Guan, N.C., Yee, A., Wu, C., Jane, L.E., ... & Meng, C.B.C. (2015). Mindfulness-Based Supportive Therapy (MBST): Proposing a palliative psychotherapy from a conceptual perspective to address suffering in palliative care. //American Journal of Hospice & Palliative Medicine, 32//(2), 144-160. https://doi.org/10.1177/1049909113508640
Duarte, J., & Pinto-Gouveia, J. (2017). Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. //Journal of Contextual Behavioral Science, 6//(2), 125-133. https://doi.org/10.1016/j.jcbs.2017.03.002
Gerhart, J., O'Mahony, S., Abrams, I., Grosse, J., Greene, M., & Levy, M. (2016). A pilot test of a mindfulness-based communication resilience in palliative care professionals. //Journal of Contextual Behavioral Science, 5//(2), 89-96. https://doi.org/10.1016/j.jcbs.2016.04.003
O'Mahony, S., Gerhart, J.I., Grosse, J., Abrams, I., & Levy, M.M. (2016). Posttraumatic stress symptoms in palliative care professionals seeking mindfulness training: Prevalence and vulnerability. //Palliative Medicine, 30//(2), 189-192. https://doi.org/10.1177/0269216315596459
Warth, M., Kessler, J., Hillecke, T.K., & Bardenheuer, H.J. (2016). Trajectories of terminally ill patients' cardiovascular response to receptive music therapy in palliative care. //Journal of Pain and Symptom Management, 52//(2), 196-204. https://doi.org/10.1016/j.jpainsymman.2016.01.008
Warth, M., Kessler, J., Koenig, J., Wormit, A.F., Hillecke, T.K., & Bardenheuer, H.J. (2014). Music therapy to promote psychological and physiological relaxation in palliative care patients: Protocol of a randomized controlled trial. //BMC Palliative Care, 13//. https://doi.org/10.1186/1472-684X-13-60
Bergen-Cico, D., & Cheon, S. (2014). The mediating effects of mindfulness and self-compassion on trait anxiety. //Mindfulness, 5//(5), 505-519. https://doi.org/10.1007/s12671-013-0205-y
Hadash, Y., Plonsker, R., Vago, D.R., & Bernstein, A. (2016). Experiential self-referential and selfless processing in mindfulness and mental health: Conceptual model and implicit measurement methodology. //Psychological Assessment, 28//(7), 856-869. https://doi.org/10.1037/pas0000300
Hargus, E., Crane, C., Barnhofer, T., & Williams, J.M.G. (2010). Effects of mindfulness on meta-awareness and specificity of describing prodromal symptoms in suicidal depression. //Emotion, 10//(1), 34-42. https://doi.org/10.1037/a0016825
Kabat-Zinn, J., Massion, A.O., Kristeller, J., Peterson, L.G., Fletcher, K.E., Pbert, L., ... & Santorelli, S.F. (1992). Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders. //American Journal of Psychiatry, 149//(7),936-943. https://doi.org/10.1176/ajp.149.7.936
Kim, B., Lee, S.H., Kim, Y.W., Choi, T.K., Yook, K., Suh, S.Y., ... & Yook, K.H. (2010). Effectiveness of a mindfulness-based cognitive therapy program as an adjunct to pharmacotherapy in patients with panic disorder. //Journal of Anxiety Disorders, 24//(6), 590-595. https://doi.org/10.1016/j.janxdis.2010.03.019
Kim, M.K., Lee, K.S., Kim, B., Choi, T.K., & Lee, S.H. (2016). Impact of mindfulness-based cognitive therapy on intolerance of uncertainty in patients with panic disorder. //Psychiatry Investigation, 13//(2), 196-202. https://doi.org/10.4306/pi.2016.13.2.196
Kim, Y.W., Lee, S.H., Choi, T.K., Suh, S.Y., Kim, B., Kim, C.M., ... & Yook, K.H. (2009). Effectiveness of mindfulness-based cognitive therapy as an adjuvant to pharmacotherapy in patients with panic disorder or generalized anxiety disorder. //Depression and Anxiety, 26//(7), 601-606. https://doi.org/10.1002/da.20552
Kraemer, K.M., McLeish, A.C., & Johnson, A.L. (2015). Associations between mindfulness and panic symptoms among young adults with asthma. //Psychology Health & Medicine, 20//(3), 322-331. https://doi.org/10.1080/13548506.2014.936888
Lee, S.H., Ahn, S.C., Lee, Y.J., Choi, T.K., Yook, K.H., & Suh, S.Y. (2007). Effectiveness of a meditation-based stress management program as an adjunct to pharmacotherapy in patients with anxiety disorder. //Journal of Psychosomatic Research, 62//(2), 189-195. https://doi.org/10.1016/j.jpsychores.2006.09.009
McKelvey, B., & Andriani, P. (2010). Avoiding extreme risk before it occurs: A complexity science approach to incubation. //Risk Management, 12//(1), 54-82. https://doi.org/10.1057/rm.2009.14
Pelser, H.J., Bosch, A., & Schurink, W. (2016). An organisational coherence model to maintain employee contributions during organisational crises. //SA Journal of Human Resource Management, 14//(1), https://doi.org/10.4102/sajhrm.v14i1.725
Shorey, R.C., Anderson, S., Lookatch, S., Moore, T.M., & Stuart, G.L. (2015). The relation between moment-to-moment mindful attention and anxiety among young adults in substance use treatment. //Substance Abuse, 36//(3), 374-379. https://doi.org/10.1080/08897077.2014.935841
Alhusen, J.L., Norris-Shortle, C., Cosgrove, K., & Marks, L. (2017). I'm opening my arms rather than pushing away: Perceived benefits of a mindfulness-based intervention among homeless women and young children. //Infant Mental Health Journal, 38//(3), 434-442. https://doi.org/10.1002/imhj.21641
Altmaier, E., & Maloney, R. (2007). An initial evaluation of a mindful parenting program. //Journal of Clinical Psychology, 63//(12), 1231-1238. https://doi.org/10.1002/jclp.20395
Anderson, S.B., & Guthery, A.M. (2015). Mindfulness-based psychoeducation for parents of children with attention-deficit/hyperactivity disorder: An applied clinical project. //Journal of Child and Adolescent Psychiatric Nursing, 28//(1), 43-49. https://doi.org/10.1111/jcap.12103
Andreotti, E., Antoine, P., Hanafi, M., Michaud, L., & Gottrand, F. (2017). Pilot mindfulness intervention for children born with esophageal atresia and their parents. //Journal of Child and Family Studies, 26//(5), 1432-1444. https://doi.org/10.1007/s10826-017-0657-0
Bazzano, A., Wolfe, C., Zylowska, L., Wang, S., Schuster, E., Barrett, C., ... & Lehrer, D. (2015). Mindfulness based stress reduction (MBSR) for parents and caregivers of individuals with developmental disabilities: A community-based approach. //Journal of Child and Family Studies, 24//(2), 298-308. https://doi.org/10.1007/s10826-013-9836-9
Benn, R., Akiva, T., Arel, S., & Roeser, R.W. (2012). Mindfulness training effects for parents and educators of children with special needs. //Developmental Psychology, 48//(5), 1476-1487. https://doi.org/10.1037/a0027537
Bluth, K., Roberson, P.N.E., Billen, R.M., & Sams, J.M. (2013). A stress model for couples parenting children with autism spectrum disorders and the introduction of a mindfulness intervention. //Journal of Family Theory & Review, 5//(3), 194-213. https://doi.org/10.1111/jftr.12015
Bogels, S., Hoogstad, B., van Dun, L., de Schutter, S., & Restifo, K. (2008). Mindfulness training for adolescents with externalizing disorders and their parents. //Behavioural and Cognitive Psychotherapy, 36//(2), 193-209. https://doi.org/10.1017/S1352465808004190
Brassell, A.A., Rosenberg, E., Parent, J., Rough, J.N., Fondacaro, K., & Seehuus, M. (2016). Parent's psychological flexibility: Associations with parenting and child psychosocial well-being. //Journal of Contextual Behavioral Science, 5//(2), 111-120. https://doi.org/10.1016/j.jcbs.2016.03.001
Burke, K., Muscara, F., McCarthy, M., Dimovski, A., Hearps, S., Anderson, V., ... & Walser, R. (2014). Adapting acceptance and commitment therapy for parents of children with life-threatening illness: Pilot study. //Families Systems & Health, 32//(1), 122-127. https://doi.org/10.1037/fsh0000012
Chan, K.K.S., & Lam, C.B. (2017). Trait mindfulness attenuates the adverse psychological impact of stigma on parents of children with autism spectrum disorder. //Mindfulness, 8//(4), 984-994. https://doi.org/10.1007/s12671-016-0675-9
Chan, T.O., & Lam, S.F. (2017). Mediator or moderator? the role of mindfulness in the association between child behavior problems and parental stress. //Research in Developmental Disabilities, 70//, 1-10. https://doi.org/10.1016/j.ridd.2017.08.007
Coates, C.A. (2015). The parenting coordinator as peacemaker and peacebuilder. //Family Court Review, 53//(3), 398-406. https://doi.org/10.1111/fcre.12161
Coatsworth, J.D., Duncan, L.G., Greenberg, M.T., & Nix, R.L. (2010). Changing parent's mindfulness, child management skills and relationship quality with their youth: Results from a randomized pilot intervention trial. //Journal of Child and Family Studies, 19//(2), 203-217. https://doi.org/10.1007/s10826-009-9304-8
Coatsworth, J.D., Duncan, L.G., Nix, R.L., Greenberg, M.T., Gayles, J.G., Bamberger, K.T., ... & Demi, M.A. (2015). Integrating mindfulness with parent training: Effects of the mindfulness-enhanced strengthening families program. //Developmental Psychology, 51//(1), 26-35. https://doi.org/10.1037/a0038212
Cohen, J.A.S., & Semple, R.J. (2010). Mindful parenting: A call for research. //Journal of Child and Family Studies, 19//(2), 145-151. https://doi.org/10.1007/s10826-009-9285-7
Conner, C.M., & White, S.W. (2014). Stress in mothers of children with autism: Trait mindfulness as a protective factor. //Research in Autism Spectrum Disorders, 8//(6), 617-624. https://doi.org/10.1016/j.rasd.2014.02.001
Corthorn, C., & Milicic, N. (2016). Mindfulness and parenting: A correlational study of non-meditating mothers of preschool children. //Journal of Child and Family Studies, 25//(5), 1672-1683. https://doi.org/10.1007/s10826-015-0319-z
Dawe, S., & Harnett, P. (2007). Reducing potential for child abuse among methadone-maintained parents: Results from a randomized controlled trial. //Journal of Substance Abuse Treatment, 32//(4), 381-390. https://doi.org/10.1016/j.jsat.2006.10.003
de Bruin, E.I., Blom, R., Smit, F.M.A., van Steensel, F.J.A., & Bogels, S.M. (2015). //Mymind//: Mindfulness training for Youngsters with autism spectrum disorders and their parents. //Autism, 19//(8), 906-914. https://doi.org/10.1177/1362361314553279
de Bruin, E.I., Zijlstra, B.J.H., Geurtzen, N., van Zundert, R.M.P., van de Weijer-Bergsma, E., Hartman, E.E., ... & Bogels, S.M. (2014). Mindful Parenting Assessed Further: Psychometric Properties of the Dutch Version of the Interpersonal Mindfulness in Parenting Scale (IM-P). //Mindfulness, 5//(2), 200-212. https://doi.org/10.1007/s12671-012-0168-4
Dumas, J.E. (2005). Mindfulness-based parent training: Strategies to lessen the grip of automaticity in families with disruptive children. //Journal of Clinical Child and Adolescent Psychology, 34//(4), 779-791. https://doi.org/10.1207/s15374424jccp3404_20
Duncan, L.G., Coatsworth, J.D., Gayles, J.G., Geier, M.H., & Greenberg, M.T. (2015). Can mindful parenting be observed? relations between observational ratings of mother-youth interactions and mothers' self-report of mindful parenting. //Journal of Family Psychology, 29//(2), 276-282. https://doi.org/10.1037/a0038857
Dykens, E.M., Fisher, M.H., Taylor, J.L., Lambert, W., & Miodrag, N. (2014). Reducing distress in mothers of children with autism and other disabilities: A randomized trial. //Pediatrics, 134//(2), E454-E463. https://doi.org/10.1542/peds.2013-3164
Ferraioli, S.J., & Harris, S.L. (2013). Comparative effects of mindfulness and skills-based parent training programs for parents of children with autism: Feasibility and preliminary outcome data. //Mindfulness, 4//(2), 89-101. https://doi.org/10.1007/s12671-012-0099-0
Fisak, B., Holderfield, K.G., Douglas-Osborn, E., & Cartwright-Hatton, S. (2012). What do parents worry about? examination of the construct of parent worry and the relation to parent and child anxiety. //Behavioural and Cognitive Psychotherapy, 40//(5), 542-557. https://doi.org/10.1017/S1352465812000410
Foster, L., Dunn, W., & Lawson, L.M. (2013). Coaching mothers of children with autism: A qualitative study for occupational therapy practice. //Physical & Occupational Therapy in Pediatrics, 33//(2), 253-263. https://doi.org/10.3109/01942638.2012.747581
Gannon, M., Mackenzie, M., Kaltenbach, K., & Abatemarco, D. (2017). Impact of mindfulness-based parenting on women in treatment for opioid use disorder. //Journal of Addiction Medicine, 11//(5), 368-376. https://doi.org/10.1097/ADM.0000000000000336
Geurtzen, N., Scholte, R.H.J., Engels, R.C.M.E., Tak, Y.R., & van Zundert, R.M.P. (2015). Association between mindful parenting and adolescents' internalizing problems: Non-judgmental acceptance of parenting as core element. //Journal of Child and Family Studies, 24//(4), 1117-1128. https://doi.org/10.1007/s10826-014-9920-9
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
Gouveia, M.J., Carona, C., Canavarro, M.C., & Moreira, H. (2016). Self-compassion and dispositional mindfulness are associated with parenting styles and parenting stress: The mediating role of mindful parenting. //Mindfulness, 7//(3), 700-712. https://doi.org/10.1007/s12671-016-0507-y
Haydicky, J., Shecter, C., Wiener, J., & Ducharme, J.M. (2015). Evaluation of MBCT for adolescents with ADHD and their parents: Impact on individual and family functioning. //Journal of Child and Family Studies, 24//(1), 76-94. https://doi.org/10.1007/s10826-013-9815-1
Haydicky, J., Wiener, J., & Shecter, C. (2017). Mechanisms of action in concurrent parent-child mindfulness training: A qualitative exploration. //Mindfulness, 8//(4), 1018-1035. https://doi.org/10.1007/s12671-017-0678-1
Hemdi, A., & Daley, D. (2017). The effectiveness of a psychoeducation intervention delivered via whatsapp for mothers of children with autism spectrum disorder (ASD) in the kingdom of Saudi Arabia: A randomized controlled trial. //Child Care Health and Development, 43//(6), 933-941. https://doi.org/10.1111/cch.12520
Hwang, Y.S., Kearney, P., Klieve, H., Lang, W., & Roberts, J. (2015). Cultivating mind: Mindfulness interventions for children with autism spectrum disorder and problem behaviours, and their mothers. //Journal of Child and Family Studies, 24//(10). https://doi.org/10.1007/s10826-015-0114-x
Jones, L., Hastings, R.P., Totsika, V., Keane, L., & Rhule, N. (2014). Child behavior problems and parental well-being in families of children with autism: The mediating role of mindfulness and acceptance. //American Journal on Intellectual and Developmental Disabilities, 119//(2), 171-185. https://doi.org/10.1352/1944-7558-119.2.171
Laurent, H.K., Duncan, L.G., Lightcap, A., & Khan, F. (2017). Mindful parenting predicts mothers' and infants' hypothalamic-pituitary-adrenal activity during a dyadic stressor. //Developmental Psychology, 53//(3), 417-424. https://doi.org/10.1037/dev0000258
Lewallen, A.C., & Neece, C.L. (2015). Improved social skills in children with developmental delays after parent participation in MBSR: The role of parent-child relational factors. //Journal of Child and Family Studies, 24//(10). https://doi.org/10.1007/s10826-015-0116-8
Lippold, M.A., Duncan, L.G., Coatsworth, J.D., Nix, R.L., & Greenberg, M.T. (2015). Understanding how mindful parenting may be linked to mother-adolescent communication. //Journal of Youth and Adolescence, 44//(9). https://doi.org/10.1007/s10964-015-0325-x
Lloyd, T., & Hastings, R.P. (2008). Psychological variables as correlates of adjustment in mothers of children with intellectual disabilities: Cross-sectional and longitudinal relationships. //Journal of Intellectual Disability Research, 52//, 37-48. https://doi.org/10.1111/j.1365-2788.2007.00974.x
Lo, H.H.M., Wong, S.Y.S., Wong, J.Y.H., Wong, S.W.L., & Yeung, J.W.K. (2016). The effect of a family-based mindfulness intervention on children with attention deficit and hyperactivity symptoms and their parents: Design and rationale for a randomized, controlled clinical trial (study protocol). //BMC Psychiatry, 16//. https://doi.org/10.1186/s12888-016-0773-1
Lunsky, Y., Robinson, S., Reid, M., & Palucka, A. (2015). Development of a mindfulness-based coping with stress group for parents of adolescents and adults with developmental disabilities. //Mindfulness, 6//(6), 1335-1344. https://doi.org/10.1007/s12671-015-0404-9
MacDonald, E.E., & Hastings, R.P. (2010). Mindful parenting and care involvement of fathers of children with intellectual disabilities. //Journal of Child and Family Studies, 19//(2), 236-240. https://doi.org/10.1007/s10826-008-9243-9
MacDonald, E.E., Hastings, R.P., & Fitzsimons, E. (2010). Psychological acceptance mediates the impact of the behaviour problems of children with intellectual disability on fathers' psychological adjustment. //Journal of Applied Research in Intellectual Disabilities, 23//(1), 27-37. https://doi.org/10.1111/j.1468-3148.2009.00546.x
Martin, S., Wolters, P.L., Toledo-Tamula, M.A., Schmitt, S.N., Baldwin, A., Starosta, A., ... & Widemann, B. (2016). Acceptance and commitment therapy in youth with neurofibromatosis type 1 (NF1) and chronic pain and their parents: A pilot study of feasibility and preliminary efficacy. //American Journal of Medical Genetics Part a, 170//(6), 1462-1470. https://doi.org/10.1002/ajmg.a.37623
May, L.M., Reinka, M.A., Tipsord, J.M., Felver, J.C., & Berkman, E.T. (2016). Parenting an early adolescent: A pilot study examining neural and relationship quality changes of a mindfulness intervention. //Mindfulness, 7//(5), 1203-1213. https://doi.org/10.1007/s12671-016-0563-3
McCaffrey, S., Reitman, D., & Black, R. (2017). Mindfulness in parenting questionnaire (MIPQ): Development and validation of a measure of mindful parenting. //Mindfulness, 8//(1), 232-246. https://doi.org/10.1007/s12671-016-0596-7
McIntyre, L.L. (2013). Parent training interventions to reduce challenging behavior in children with intellectual and developmental disabilities. //International review of research in developmental disabilities: Challenging behavior, vol 44, 44//, 245-279. https://doi.org/10.1016/B978-0-12-401662-0.00008-7
Medeiros, C., Gouveia, M.J., Canavarro, M.C., & Moreira, H. (2016). The indirect effect of the mindful parenting of mothers and fathers on the child's perceived well-being through the child's attachment to parents. //Mindfulness, 7//(4), 916-927. https://doi.org/10.1007/s12671-016-0530-z
Meppelink, R., de Bruin, E.I., Wanders-Mulder, F.H., Vennik, C.J., & Bogels, S.M. (2016). Mindful parenting training in child psychiatric settings: Heightened parental mindfulness reduces parents' and children's psychopathology. //Mindfulness, 7//(3), 680-689. https://doi.org/10.1007/s12671-016-0504-1
Miklosi, M., Szabo, M., & Simon, L. (2017). The role of mindfulness in the relationship between perceived parenting, early maladaptive schemata and parental sense of competence. //Mindfulness, 8//(2), 471-480. https://doi.org/10.1007/s12671-016-0619-4
Miller, C.J., & Brooker, B. (2017). Mindfulness programming for parents and teachers of children with ADHD. //Complementary Therapies in Clinical Practice, 28//, 108-115. https://doi.org/10.1016/j.ctcp.2017.05.015
Miller, J.G., Kahle, S., Lopez, M., & Hastings, P.D. (2015). Compassionate love buffers stress-reactive mothers from fight-or-flight parenting. //Developmental Psychology, 51//(1), 36-43. https://doi.org/10.1037/a0038236
Modesto-Lowe, V., Chaplin, M., Godsay, V., & Soovajian, V. (2014). Parenting teens with attention-deficit/hyperactivity disorder: Challenges and opportunities. //Clinical Pediatrics, 53//(10), 943-948. https://doi.org/10.1177/0009922814540984
Moreira, H., & Canavarro, M.C. (2017). Psychometric properties of the interpersonal mindfulness in parenting scale in a sample of portuguese mothers. //Mindfulness, 8//(3), 691-706. https://doi.org/10.1007/s12671-016-0647-0
Moreira, H., Carona, C., Silva, N., Nunes, J., & Canavarro, M.C. (2016). Exploring the link between maternal attachment-related anxiety and avoidance and mindful parenting: The mediating role of self-compassion. //Psychology and Psychotherapy: Theory, Research and Practice, 89//(4), 369-384. https://doi.org/10.1111/papt.12082
Neece, C.L. (2014). Mindfulness-based stress reduction for parents of young children with developmental delays: Implications for parental mental health and child behavior problems. //Journal of Applied Research in Intellectual Disabilities, 27//(2), 174-186. https://doi.org/10.1111/jar.12064
Neff, K.D., & Faso, D.J. (2015). Self-compassion and well-being in parents of children with autism. //Mindfulness, 6//(4). https://doi.org/10.1007/s12671-014-0359-2
Parent, J., McKee, L.G., Anton, M., Gonzalez, M., Jones, D.J., & Forehand, R. (2016). Mindfulness in parenting and coparenting. //Mindfulness, 7//(2), 504-513. https://doi.org/10.1007/s12671-015-0485-5
Parent, J., Mckee, L.G., Rough, J.N., & Forehand, R. (2016). The association of parent mindfulness with parenting and youth psychopathology across three developmental stages. //Journal of Abnormal Child Psychology, 44//(1), 191-202. https://doi.org/10.1007/s10802-015-9978-x
Perry-Parrish, C., Copeland-Linder, N., Webb, L., & Sibinga, E.M.S. (2016). Mindfulness-based approaches for children and youth. //Current Problems in Pediatric and Adolescent Health Care, 46//(6), 172-178. https://doi.org/10.1016/j.cppeds.2015.12.006
Potharst, E.S., Aktar, E., Rexwinkel, M., Rigterink, M., & Bogels, S.M. (2017). Mindful with your baby: Feasibility, acceptability, and effects of a mindful parenting group training for mothers and their babies in a mental health context. //Mindfulness, 8//(5), 1236-1250. https://doi.org/10.1007/s12671-017-0699-9
Psychogiou, L., Legge, K., Parry, E., Mann, J., Nath, S., Ford, T., ... & Kuyken, W. (2016). Self-compassion and parenting in mothers and fathers with depression. //Mindfulness, 7//(4), 896-908. https://doi.org/10.1007/s12671-016-0528-6
Rayan, A., & Ahmad, M. (2016). Effectiveness of mindfulness-based interventions on quality of life and positive reappraisal coping among parents of children with autism spectrum disorder. //Research in Developmental Disabilities, 55//, 185-196. https://doi.org/10.1016/j.ridd.2016.04.002
Rayan, A., & Ahmad, M. (2017). Effectiveness of mindfulness-based intervention on perceived stress, anxiety, and depression among parents of children with autism spectrum disorder. //Mindfulness, 8//(3), 677-690. https://doi.org/10.1007/s12671-016-0595-8
Reid, N., Dawe, S., Harnett, P., Shelton, D., Hutton, L., & O'Callaghan, F. (2017). Feasibility study of a family-focused intervention to improve outcomes for children with FASD. //Research in Developmental Disabilities, 67//, 34-46. https://doi.org/10.1016/j.ridd.2017.06.004
Roberts, L.R., & Neece, C.L. (2015). Feasibility of mindfulness-based stress reduction intervention for parents of children with developmental delays. //Issues in Mental Health Nursing, 36//(8), 592-602. https://doi.org/10.3109/01612840.2015.1017063
Short, V.L., Gannon, M., Weingarten, W., Kaltenbach, K., LaNoue, M., & Abatemarco, D.J. (2017). Reducing stress among mothers in drug treatment: A description of a mindfulness based parenting intervention. //Maternal and Child Health Journal, 21//(6), 1377-1386. https://doi.org/10.1007/s10995-016-2244-1
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Fisher, B.C., Wahler, R.G., McAleavey, K., ... & Sabaawi, M. (2006). Mindful parenting decreases aggression, noncompliance, and self-injury in children with autism. //Journal of Emotional and Behavioral Disorders, 14//(3), 169-177. https://doi.org/10.1177/10634266060140030401
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Myers, R.E., Latham, L.L., ... & Singh, J. (2014). Mindfulness-based positive behavior support (MBPBS) for mothers of adolescents with autism spectrum disorder: Effects on adolescents' behavior and parental stress. //Mindfulness, 5//(6), 646-657. https://doi.org/10.1007/s12671-014-0321-3
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Curtis, W.J., Wahler, R.G., ... & McAleavey, K.M. (2007). Mindful parenting decreases aggression and increases social behavior in children with developmental disabilities. //Behavior Modification, 31//(6), 749-771. https://doi.org/10.1177/0145445507300924
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Singh, A.N., Adkins, A.D., ... & Wahler, R.G. (2010). Training in mindful caregiving transfers to parent-child interactions. //Journal of Child and Family Studies, 19//(2), 167-174. https://doi.org/10.1007/s10826-009-9267-9
Singh, N.N., Singh, A.N., Lancioni, G.E., Singh, J., Winton, A.S.W., & Adkins, A.D. (2010). Mindfulness training for parents and their children with ADHD increases the children's compliance. //Journal of Child and Family Studies, 19//(2), 157-166. https://doi.org/10.1007/s10826-009-9272-z
Siu, A.F.Y., Ma, Y., & Chui, F.W.Y. (2016). Maternal mindfulness and child social behavior: The mediating role of the mother-child relationship. //Mindfulness, 7//(3), 577-583. https://doi.org/10.1007/s12671-016-0491-2
Srivastava, M., Gupta, A., Talukdar, U., Kalra, B.P., & Lahan, V. (2011). Effect of parental training in managing the behavioral problems of early childhood. //Indian Journal of Pediatrics, 78//(8), 973-978. https://doi.org/10.1007/s12098-011-0401-5
Stepp, S.D., Whalen, D.J., Pilkonis, P.A., Hipwell, A.E., & Levine, M.D. (2012). Children of mothers with borderline personality disorder: Identifying parenting behaviors as potential targets for intervention. //Personality Disorders-theory Research and Treatment, 3//(1), 76-91. https://doi.org/10.1037/a0023081
Tak, Y.R., Van Zundert, R.M.P., Kleinjan, M., & Engels, R.C.M.E. (2015). Mindful parenting and adolescent depressive symptoms: The few associations are moderated by adolescent gender and parental depressive symptoms. //Mindfulness, 6//(4). https://doi.org/10.1007/s12671-014-0324-0
Townshend, K. (2016). Conceptualizing the key processes of mindful parenting and its application to youth mental health. //Australasian Psychiatry, 24//(6), 575-577. https://doi.org/10.1177/1039856216654392
Turpyn, C.C., & Chaplin, T.M. (2016). Mindful parenting and parents' emotion expression: Effects on adolescent risk behaviors. //Mindfulness, 7//(1), 246-254. https://doi.org/10.1007/s12671-015-0440-5
Tylka, T.L., Eneli, I.U., Van Diest, A.M.K., & Lumeng, J.C. (2013). Which adaptive maternal eating behaviors predict child feeding practices? an examination with mothers of 2- to 5-year-old children. //Eating Behaviors, 14//(1), 57-63. https://doi.org/10.1016/j.eatbeh.2012.10.014
van der Oord, S., Bogels, S.M., & Peijnenburg, D. (2012). The effectiveness of mindfulness training for children with ADHD and mindful parenting for their parents. //Journal of Child and Family Studies, 21//(1), 139-147. https://doi.org/10.1007/s10826-011-9457-0
Wakefield, C.E., Sansom-Daly, U.M., McGill, B.C., McCarthy, M., Girgis, A., Grootenhuis, M., ... & Cohn, R.J. (2015). Online parent-targeted cognitive-behavioural therapy intervention to improve quality of life in families of young cancer survivors: Study protocol for a randomised controlled trial. //Trials, 16//. https://doi.org/10.1186/s13063-015-0681-6
Whittingham, K., Sanders, M., McKinlay, L., & Boyd, R.N. (2013). Stepping stones triple p and acceptance and commitment therapy for parents of children with cerebral palsy: Trial protocol. //Brain Impairment, 14//(2), 270-280. https://doi.org/10.1017/BrImp.2013.19
Williams, K.L., & Wahler, R.G. (2010). Are mindful parents more authoritative and less authoritarian? an analysis of clinic-referred mothers. //Journal of Child and Family Studies, 19//(2), 230-235. https://doi.org/10.1007/s10826-009-9309-3
Zhang, D.X., Chan, S.K.C., Lo, H.H.M., Chan, C.Y.H., Chan, J.C.Y., Ting, K.T., ... & Wong, S.Y.S. (2017). Mindfulness-based intervention for Chinese children with ADHD and their parents: A pilot mixed-method study. //Mindfulness, 8//(4), 859-872. https://doi.org/10.1007/s12671-016-0660-3
Birnie, K., Garland, S.N., & Carlson, L.E. (2010). Psychological benefits for cancer patients and their partners participating in mindfulness-based stress reduction (MBSR). //Psycho-Oncology, 19//(9), 1004-1009. https://doi.org/10.1002/pon.1651
Bluth, K., Roberson, P.N.E., Billen, R.M., & Sams, J.M. (2013). A stress model for couples parenting children with autism spectrum disorders and the introduction of a mindfulness intervention. //Journal of Family Theory & Review, 5//(3), 194-213. https://doi.org/10.1111/jftr.12015
Briggs, J.G., Finley, M.A., & Sprenkle, D.H. (2015). A substantive and methodological review of the integrative behavioral couple therapy research program: Clinical implications for a research informed practice. //Journal of Couple & Relationship Therapy-innovations in Clinical and Educational Interventions, 14//(3), 219-253. https://doi.org/10.1080/15332691.2014.959229
Burnside, L.D., Knecht, M.J., Hopley, E.K., & Logsdon, R.G. (2017). here:now - conceptual model of the impact of an experiential arts program on persons with dementia and their care partners. //Dementia: The International Journal of Social Research and Practice, 16//(1), 29-45. https://doi.org/10.1177/1471301215577220
Burpee, L.C., & Langer, E.J. (2005). Mindfulness and marital satisfaction. //Journal of Adult Development, 12//(1), 43-51. https://doi.org/10.1007/s10804-005-1281-6
Carson, J.W., Carson, K.M., Gil, K.M., & Baucom, D.H. (2007). Self-expansion as a mediator of relationship improvements in a mindfulness intervention. //Journal of Marital and Family Therapy, 33//(4), 517-528. https://doi.org/10.1111/j.1752-0606.2007.00035.x
Gambrel, L.E., & Piercy, F.P. (2015). Mindfulness-based relationship education for couples expecting their first child-part 1: A randomized mixed-methods program evaluation. //Journal of Marital and Family Therapy, 41//(1), 5-24. https://doi.org/10.1111/jmft.12066
Gambrel, L.E., & Piercy, F.P. (2015). Mindfulness-based relationship education for couples expecting their first child-part 2: Phenomenological findings. //Journal of Marital and Family Therapy, 41//(1), 25-41. https://doi.org/10.1111/jmft.12065
Gillespie, B., Davey, M.P., & Flemke, K. (2015). Intimate partners' perspectives on the relational effects of mindfulness-based stress reduction training: A qualitative research study. //Contemporary Family Therapy, 37//(4), 396-407. https://doi.org/10.1007/s10591-015-9350-x
Hertz, R.M., Laurent, H.K., & Laurent, S.M. (2015). Attachment mediates effects of trait mindfulness on stress responses to conflict. //Mindfulness, 6//(3), 483-489. https://doi.org/10.1007/s12671-014-0281-7
Hsiao, F.H., Jow, G.M., Kuo, W.H., Yang, P.S., Lam, H.B., Chang, K.J., ... & Chang, C.H. (2016). The long-term effects of mindfulness added to family resilience-oriented couples support group on psychological well-being and cortisol responses in breast cancer survivors and their partners. //Mindfulness, 7//(6), 1365-1376. https://doi.org/10.1007/s12671-016-0578-9
Janz, P., Pepping, C.A., & Halford, W.K. (2015). Individual differences in dispositional mindfulness and initial romantic attraction: A speed dating experiment. //Personality and Individual Differences, 82//, 14-19. https://doi.org/10.1016/j.paid.2015.02.025
Johns, K.N., Allen, E.S., & Gordon, K.C. (2015). The relationship between mindfulness and forgiveness of infidelity. //Mindfulness, 6//(6), 1462-1471. https://doi.org/10.1007/s12671-015-0427-2
Kahn, J.R., Collinge, W., & Soltysik, R. (2016). Post-9/11 veterans and their partners improve mental health outcomes with a self-directed mobile and web-based wellness training program: A randomized controlled trial. //Journal of Medical Internet Research, 18//(9), e255.https://doi.org/10.2196/jmir.5800
Karremansi, J.C., Schellekens, M.P.J., & Kappen, G. (2017). Bridging the sciences of mindfulness and romantic relationships: A theoretical model and research agenda. //Personality and Social Psychology Review, 21//(1), 29-49. https://doi.org/10.1177/1088868315615450
Karris, M., & Caldwell, B.E. (2015). Integrating emotionally focused therapy, self-compassion, and compassion-focused therapy to assist shame-prone couples who have experienced trauma. //Family Journal, 23//(4), 346-357. https://doi.org/10.1177/1066480715601676
Khaddouma, A., Gordon, K.C., & Strand, E.B. (2017). Mindful mates: A pilot study of the relational effects of mindfulness-based stress reduction on participants and their partners. //Family Process, 56//(3), 636-651. https://doi.org/10.1111/famp.12226
Kimmes, J.G., Durtschi, J.A., & Fincham, F.D. (2017). Perception in romantic relationships: A latent profile analysis of trait mindfulness in relation to attachment and attributions. //Mindfulness, 8//(5), 1328-1338. https://doi.org/10.1007/s12671-017-0708-z
Laurent, H., Laurent, S., Hertz, R., Egan-Wright, D., & Granger, D.A. (2013). Sex-specific effects of mindfulness on romantic partners' cortisol responses to conflict and relations with psychological adjustment. //Psychoneuroendocrinology, 38//(12), 2905-2913. https://doi.org/10.1016/j.psyneuen.2013.07.018
Laurent, H.K., Hertz, R., Nelson, B., & Laurent, S.M. (2016). Mindfulness during romantic conflict moderates the impact of negative partner behaviors on cortisol responses. //Hormones and Behavior, 79//, 45-51. https://doi.org/10.1016/j.yhbeh.2016.01.005
Laurent, H.K., Laurent, S.M., Lightcap, A., & Nelson, B.W. (2016). How situational mindfulness during conflict stress relates to well-being. //Mindfulness, 7//(4), 909-915. https://doi.org/10.1007/s12671-016-0529-5
Laurent, H.K., Laurent, S.M., Nelson, B., Wright, D.B., & Sanchez, M.A.D. (2015). Dispositional mindfulness moderates the effect of a brief mindfulness induction on physiological stress responses. //Mindfulness, 6//(5), 1192-1200. https://doi.org/10.1007/s12671-014-0377-0
Lenger, K.A., Gordon, C.L., & Nguyen, S.P. (2017). Intra-individual and cross-partner associations between the five facets of mindfulness and relationship satisfaction. //Mindfulness, 8//(1), 171-180. https://doi.org/10.1007/s12671-016-0590-0
Lord, S.A. (2017). Mindfulness and spirituality in couple therapy: The use of meditative dialogue to help couples develop compassion and empathy for themselves and each other. //Australian and New Zealand Journal of Family Therapy, 38//(1), 98-114. https://doi.org/10.1002/anzf.1201
Masrour, M.J., Aerabsheybani, H., Ramezani, N., & Aerabsheybani, K. (2017). The effectiveness of mindfulness-based cognitive therapy (mbct) in increasing infertile couples' resilience and reducing anxiety, stress, and depression. //Neuroquantology, 15//(3), 94-100. https://doi.org/10.14704/nq.2017.15.3.1088
Neff, K.D., & Beretvas, S.N. (2013). The role of self-compassion in romantic relationships. //Self and Identity, 12//(1), 78-98. https://doi.org/10.1080/15298868.2011.639548
Pakenham, K.I., & Samios, C. (2013). Couples coping with multiple sclerosis: A dyadic perspective on the roles of mindfulness and acceptance. //Journal of Behavioral Medicine, 36//(4), 389-400. https://doi.org/10.1007/s10865-012-9434-0
Peterson, B.D., Eifert, G.H., Feingold, T., & Davidson, S. (2009). Using acceptance and commitment therapy to treat distressed couples: A case study with two couples. //Cognitive and Behavioral Practice, 16//(4), 430-442. https://doi.org/10.1016/j.cbpra.2008.12.009
Quaglia, J.T., Goodman, R.J., & Brown, K.W. (2015). From mindful attention to social connection: The key role of emotion regulation. //Cognition & Emotion, 29//(8), 1466-1474. https://doi.org/10.1080/02699931.2014.988124
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
Schellekens, M.P.J., van den Hurk, D.G.M., Prins, J.B., Molema, J., Donders, A.R.T., Woertman, W.H., ... & Speckens, A.E.M. (2014). Study protocol of a randomized controlled trial comparing mindfulness-based stress reduction with treatment as usual in reducing psychological distress in patients with lung cancer and their partners: The milon study. //BMC Cancer, 14//, 3. https://doi.org/10.1186/1471-2407-14-3
Siegel, J.P. (2014). The mindful couple. //Clinical Social Work Journal, 42//(3), 282-287. https://doi.org/10.1007/s10615-014-0489-y
van den Hurk, D.G.M., Schellekens, M.P.J., Molema, J., Speckens, A.E.M., & van der Drift, M.A. (2015). Mindfulness-based stress reduction for lung cancer patients and their partners: Results of a mixed methods pilot study. //Palliative Medicine, 29//(7), 652-660. https://doi.org/10.1177/0269216315572720
Wachs, K., & Cordova, J.V. (2007). Mindful relating: Exploring mindfulness and emotion repertoires in intimate relationships. //Journal of Marital and Family Therapy, 33//(4), 464-481. https://doi.org/10.1111/j.1752-0606.2007.00032.x
Williams, A.M., & Cano, A. (2014). Spousal mindfulness and social support in couples with chronic pain. //Clinical Journal of Pain, 30//(6), 528-535. https://doi.org/10.1097/AJP.0000000000000009
Zarling, A., & Berta, M. (2017). An acceptance and commitment therapy approach for partner aggression. //Partner Abuse, 8//(1), 89-109. https://doi.org/10.1891/1946-6560.8.1.89
Argus, G., & Thompson, M. (2008). Perceived social problem solving, perfectionism, and mindful awareness in clinical depression: An exploratory study. //Cognitive Therapy and Research, 32//(6), 745-757. https://doi.org/10.1007/s10608-006-9102-1
Azam, M.A., Katz, J., Fashler, S.R., Changoor, T., Azargive, S., & Ritvo, P. (2015). Heart rate variability is enhanced in controls but not maladaptive perfectionists during brief mindfulness meditation following stress-induction: A stratified-randomized trial. //International Journal of Psychophysiology, 98//(1), 27-34. https://doi.org/10.1016/j.ijpsycho.2015.06.005
Beck, A.R., Verticchio, H., Seeman, S., Milliken, E., & Schaab, H. (2017). A mindfulness practice for communication sciences and disorders undergraduate and speech-language pathology graduate students: Effects on stress, self-compassion, and perfectionism. //American Journal of Speech-language Pathology, 26//(3), 893-907. https://doi.org/10.1044/2017_AJSLP-16-0172
Hicdurmaz, D., & Aydin, A. (2017). The relationship between nursing students' self-compassion and multidimensional perfectionism levels and the factors that influence them. //Journal of Psychiatric Nursing, 8//(2), 86-94. https://doi.org/10.14744/phd.2017.40469
Hinterman, C., Burns, L., Hopwood, D., & Rogers, W. (2012). Mindfulness: Seeking a more perfect approach to coping with life's challenges. //Mindfulness, 3//(4), 275-281. https://doi.org/10.1007/s12671-012-0091-8
James, K., Verplanken, B., & Rimes, K.A. (2015). Self-criticism as a mediator in the relationship between unhealthy perfectionism and distress. //Personality and Individual Differences, 79//, 123-128. https://doi.org/10.1016/j.paid.2015.01.030
Mehr, K.E., & Adams, A.C. (2016). Self-compassion as a mediator of maladaptive perfectionism and depressive symptoms in college students. //Journal of College Student Psychotherapy, 30//(2), 132-145. https://doi.org/10.1080/87568225.2016.1140991
Short, M.M., & Mazmanian, D. (2013). Perfectionism and negative repetitive thoughts: Examining a multiple mediator model in relation to mindfulness. //Personality and Individual Differences, 55//(6), 716-721. https://doi.org/10.1016/j.paid.2013.05.026
Wimberley, T.E., Mintz, L.B., & Suh, H. (2016). Perfectionism and mindfulness: Effectiveness of a bibliotherapy intervention. //Mindfulness, 7//(2), 433-444. https://doi.org/10.1007/s12671-015-0460-1
Salmoirago-Blotcher, E., Carmody, J., Yeh, G., Crawford, S., Rosenthal, L., & Ockene, I. (2012). Design and methods for a pilot study of a phone-delivered, mindfulness-based intervention in patients with implantable cardioverter defibrillators. //Evidence-based Complementary and Alternative Medicine, 2012//, 972106. https://doi.org/10.1155/2012/972106
Salmoirago-Blotcher, E., Crawford, S.L., Carmody, J., Rosenthal, L., Yeh, G., Stanley, M., ... & Ockene, I.S. (2013). Phone-delivered mindfulness training for patients with implantable cardioverter defibrillators: Results of a pilot randomized controlled trial. //Annals of Behavioral Medicine, 46//(2), 243-250. https://doi.org/10.1007/s12160-013-9505-7
Amanullah, S., McNally, K., Zelin, J., Cole, J., & Cernovsky, Z. (2017). Are burnout prevention programs for hospital physicians needed?. //Asian Journal of Psychiatry, 26//, 66-69. https://doi.org/10.1016/j.ajp.2017.01.009
Amutio, A., Martinez-Taboada, C., Delgado, L.C., Hermosilla, D., & Mozaz, M.J. (2015). Acceptability and effectiveness of a long-term educational intervention to reduce physicians' stress-related conditions. //Journal of Continuing Education in the Health Professions, 35//(4), 255-260. https://doi.org/10.1097/CEH.0000000000000002
Asuero, A.M., Queralto, J.M., Pujol-Ribera, E., Berenguera, A., Rodriguez-Blanco, T., & Epstein, R.M. (2014). Effectiveness of a mindfulness education program in primary health care professionals: A pragmatic controlled trial. //Journal of Continuing Education in the Health Professions, 34//(1), 4-12. https://doi.org/10.1002/chp.21211
Atanes, A.C.M., Andreoni, S., Hirayama, M.S., Montero-Marin, J., Barros, V.V., Ronzani, T.M., ... & Demarzo, M.M.P. (2015). Mindfulness, perceived stress, and subjective well-being: A correlational study in primary care health professionals. //BMC Complementary and Alternative Medicine, 15//, 303. https://doi.org/10.1186/s12906-015-0823-0
Braun, S.E., Auerbach, S.M., Rybarczyk, B., Lee, B., & Call, S. (2017). Mindfulness, burnout, and effects on performance evaluations in internal medicine residents. //Advances in Medical Education and Practice, 8//, 591-597. https://doi.org/10.2147/AMEP.S140554
Brennan, J., & McGrady, A. (2015). Designing and implementing a resiliency program for family medicine residents. //International Journal of Psychiatry in Medicine, 50//(1), 104-114. https://doi.org/10.1177/0091217415592369
Chaukos, D., Chad-Friedman, E., Mehta, D.H., Byerly, L., Celik, A., Mccoy, T.H., ... & Denninger, J.W. (2017). Risk and resilience factors associated with resident burnout. //Academic Psychiatry, 41//(2), 189-194. https://doi.org/10.1007/s40596-016-0628-6
Fortney, L., Luchterhand, C., Zakletskaia, L., Zgierska, A., & Rakel, D. (2013). Abbreviated mindfulness intervention for job satisfaction, quality of life, and compassion in primary care clinicians: A pilot study. //Annals of Family Medicine, 11//(5), 412-420. https://doi.org/10.1370/afm.1511
Gazelle, G., Liebschutz, J.M., & Riess, H. (2015). Physician burnout: Coaching a way out. //Journal of General Internal Medicine, 30//(4), 508-513. https://doi.org/10.1007/s11606-014-3144-y
Goldhagen, B.E., Kingsolver, K., Stinnett, S.S., & Rosdahl, J.A. (2015). Stress and burnout in residents: Impact of mindfulness-based resilience training. //Advances in Medical Education and Practice, 6//, 525-532. https://doi.org/10.2147/AMEP.S88580
Goodman, M.J., & Schorling, J.B. (2012). A mindfulness course decreases burnout and improves well-being among healthcare providers. //International Journal of Psychiatry in Medicine, 43//(2), 119-128. https://doi.org/10.2190/PM.43.2.b
Ireland, M.J., Clough, B., Gill, K., Langan, F., O'Connor, A., & Spencer, L. (2017). A randomized controlled trial of mindfulness to reduce stress and burnout among intern medical practitioners. //Medical Teacher, 39//(4), 409-414. https://doi.org/10.1080/0142159X.2017.1294749
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., ... & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. //JAMA: Journal of the American Medical Association, 302//(12), 1284-1293. https://doi.org/10.1001/jama.2009.1384
Lee, Y.C., Huang, S.C., Huang, C.H., & Wu, H.H. (2016). A new approach to identify high burnout medical staffs by kernel k-means cluster analysis in a regional teaching hospital in Taiwan. //INQUIRY: The Journal of Health Care Organization Provision and Financing, 53//, 1-6. https://doi.org/10.1177/0046958016679306
McClafferty, H., & Brown, O.W. (2014). Physician health and wellness. //Pediatrics, 134//(4), 830-835. https://doi.org/10.1542/peds.2014-2278
Montero-Marin, J., Tops, M., Manzanera, R., Demarzo, M.M.P., de Mon, M.A., & Garcia-Campayo, J. (2015). Mindfulness, resilience, and burnout subtypes in primary care physicians: The possible mediating role of positive and negative affect. //Frontiers in Psychology, 6//, 1895. https://doi.org/10.3389/fpsyg.2015.01895
Pflugeisen, B.M., Drummond, D., Ebersole, D., Mundell, K., & Chen, D. (2016). Brief video-module administered mindfulness program for physicians: A pilot study. //Explore: The Journal of Science and Healing, 12//(1), 50-54. https://doi.org/10.1016/j.explore.2015.10.005
Regehr, C., Glancy, D., Pitts, A., & LeBlanc, V.R. (2014). Interventions to reduce the consequences of stress in physicians: A review and meta-analysis. //Journal of Nervous and Mental Disease, 202//(5), 353-359. https://doi.org/10.1097/NMD.0000000000000130
Runyan, C., Savageau, J.A., Potts, S., & Weinreb, L. (2016). Impact of a family medicine resident wellness curriculum: A feasibility study. //Medical Education online, 21//, 30648. https://doi.org/10.3402/meo.v21.30648
Schneider, S., Kingsolver, K., & Rosdahl, J. (2014). Physician coaching to enhance well-being: A qualitative analysis of a pilot intervention. //Explore: The Journal of Science and Healing, 10//(6), 372-379. https://doi.org/10.1016/j.explore.2014.08.007
Taylor, M., Hageman, J.R., & Brown, M. (2016). A mindfulness intervention for residents: Relevance for pediatricians. //Pediatric Annals, 45//(10), E373-E376. https://doi.org/10.3928/19382359-20160912-01
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8), e0136955. https://doi.org/10.1371/journal.pone.0136955
West, C.P., Dyrbye, L.N., Rabatin, J.T., Call, T.G., Davidson, J.H., Multari, A., ... & Shanafelt, T.D. (2014). Intervention to promote physician well-being, job satisfaction, and professionalism a randomized clinical trial. //JAMA Internal Medicine, 174//(4), 527-533. https://doi.org/10.1001/jamainternmed.2013.14387
Ackermann, E.K. (2015). Amusement, delight, and whimsy humor has its reasons that reason cannot ignore. //Constructivist Foundations, 10//(3), 405-411.
Cho, S., Lee, H., Oh, K.J., & Soto, J.A. (2017). Mindful attention predicts greater recovery from negative emotions, but not reduced reactivity. //Cognition & Emotion, 31//(6), 1252-1259. https://doi.org/10.1080/02699931.2016.1199422
Cosme, D., & Wiens, S. (2015). Self-reported trait mindfulness and affective reactivity: A motivational approach using multiple psychophysiological measures. //PLOS ONE, 10//(3), e0119466. https://doi.org/10.1371/journal.pone.0119466
Ortner, C.N.M., Kilner, S.J., & Zelazo, P.D. (2007). Mindfulness meditation and reduced emotional interference on a cognitive task. //Motivation and Emotion, 31//(4), 271-283. https://doi.org/10.1007/s11031-007-9076-7
Taylor, V.A., Grant, J., Daneault, V., Scavone, G., Breton, E., Roffe-Vidal, S., ... & Beauregard, M. (2011). Impact of mindfulness on the neural responses to emotional pictures in experienced and beginner meditators. //Neuroimage, 57//(4), 1524-1533. https://doi.org/10.1016/j.neuroimage.2010.06.001
Cook, J. (2016). Mindful in Westminster the politics of meditation and the limits of neoliberal critique. //Hau-journal of Ethnographic Theory, 6//(1), 141-161. https://doi.org/10.14318/hau6.1.011
Hyoungchan, K. (2014). The theory and practice of sage politics: The political philosophies and neo-confucian bases of Yi Hwang and Yi I. //Acta Koreana, 17//(1), 255-284. http://dx.doi.org/10.18399/acta.2014.17.1.010
[[Adolescent]]<br>
[[African]]<br>
[[Agile software development]]<br>
[[Athlete]]<br>
[[Beginners]]<br>
[[Caregivers]]<br>
[[Chinese]]<br>
[[Coach]]<br>
[[Elderly]]<br>
[[Ethnic minority]]<br>
[[Health care worker burnout]]<br>
[[Intergroup relations]]<br>
[[Japan]]<br>
[[Leadership]]<br>
[[Learner]]<br>
[[Mathematics]]<br>
[[Mental health care staff]]<br>
[[Nursing]]<br>
[[Older adults]]<br>
[[Organisation (1)]]<br>
[[Organisation (2)]]<br>
[[Palliative care]]<br>
[[Parent-children]]<br>
[[Partner/couple]]<br>
[[Physician job burnout]]<br>
[[Politics]]<br>
[[Pregnancy]]<br>
[[Psychologist-well-being]]<br>
[[Romantic attraction]]<br>
[[Sport]]<br>
[[Supervisory roles]]<br>
[[Teacher]]<br>
[[Teams]]<br>
[[Therapist]]<br>
[[Tourism]]<br>
[[Veteran/military]]<br>
[[Worksite]]<br>
[[Youth]]<br>
Basharpoor, S., Shafiei, M., & Daneshvar, S. (2015). The comparison of experimental avoidance, mindfulness and rumination in trauma-exposed individuals with and without posttraumatic stress disorder (PTSD) in an Iranian sample. //Archives of Psychiatric Nursing, 29//(5), 279-283. https://doi.org/10.1016/j.apnu.2015.05.004
Beck, D., Holt, L.C., Burkard, J., Andrews, T., Liu, L., Heppner, P., ... & Bormann, J.E. (2017). Efficacy of the mantram repetition program for insomnia in veterans with posttraumatic stress disorder a naturalistic study. //Advances in Nursing Science, 40//(2), E1-E12. https://doi.org/10.1097/ANS.0000000000000144
Bergen-Cico, D., Possemato, K., & Pigeon, W. (2014). Reductions in cortisol associated with primary care brief mindfulness program for veterans with PTSD. //Medical Care, 52//(12), S25-S31. https://doi.org/10.1097/MLR.0000000000000224
Boden, M.T., Bernstein, A., Walser, R.D., Bui, L., Alvarez, J., & Bonn-Miller, M.O. (2012). Changes in facets of mindfulness and posttraumatic stress disorder treatment outcome. //Psychiatry Research, 200//(42769), 609-613. https://doi.org/10.1016/j.psychres.2012.07.011
Bormann, J.E., Liu, L., Thorp, S.R., & Lang, A.J. (2012). Spiritual wellbeing mediates PTSD change in veterans with military-related PTSD. //International Journal of Behavioral Medicine, 19//(4), 496-502. https://doi.org/10.1007/s12529-011-9186-1
Bormann, J.E., Oman, D., Walter, K.H., & Johnson, B.D. (2014). Mindful attention increases and mediates psychological outcomes following mantram repetition practice in veterans with posttraumatic stress disorder. //Medical Care, 52//(12), S13-S18. https://doi.org/10.1097/MLR.0000000000000200
Bormann, J.E., Thorp, S.R., Wetherell, J.L., Golshan, S., & Lang, A.J. (2013). Meditation-based mantram intervention for veterans with posttraumatic stress disorder: A randomized trial. //Psychological Trauma: Theory, Research, Practice and Policy, 5//(3), 259-267. https://doi.org/10.1037/a0027522
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Bremner, J.D., Mishra, S., Campanella, C., Shah, M., Kasher, N., Evans, S., ... & Carmody, J. (2017). A pilot study of the effects of mindfulness-based stress reduction on post-traumatic stress disorder symptoms and brain response to traumatic reminders of combat in operation enduring freedom/operation Iraqi freedom combat veterans with post-traumatic stress disorder. //Frontiers in Psychiatry, 8//, 157. https://doi.org/10.3389/fpsyt.2017.00157
Buttner, M.M., Bormann, J.E., Weingart, K., Andrews, T., Ferguson, M., & Afari, N. (2016). Multi-site evaluation of a complementary, spiritually-based intervention for veterans: The mantram repetition program. //Complementary Therapies in Clinical Practice, 22//, 74-79. https://doi.org/10.1016/j.ctcp.2015.12.008
Call, D., Pitcock, J., & Pyne, J. (2015). Longitudinal evaluation of the relationship between mindfulness, general distress, anxiety, and PTSD in a recently deployed national guard sample. //Mindfulness, 6//(6),1303–1312. https://doi.org/10.1007/s12671-015-0400-0
Carlson, K.J., Silva, S.G., Langley, J., & Johnson, C. (2013). Mindful-veteran: The implementation of a brief stress reduction course. //Complementary Therapies in Clinical Practice, 19//(2), 89-96. https://doi.org/10.1016/j.ctcp.2012.12.003
Cloitre, M., Courtois, C.A., Charuvastra, A., Carapezza, R., Stolbach, B.C., & Green, B.L. (2011). Treatment of complex PTSD: Results of the ISTSS expert clinician survey on best practices. //Journal of Traumatic Stress, 24//(6), 615-627. https://doi.org/10.1002/jts.20697
Colgan, D.D., Christopher, M., Michael, P., & Wahbeh, H. (2016). The body scan and mindful breathing among veterans with PTSD: Type of intervention moderates the relationship between changes in mindfulness and post-treatment depression. //Mindfulness, 7//(2), 372-383. https://doi.org/10.1007/s12671-015-0453-0
Dahm, K.A., Meyer, E.C., Neff, K.D., Kimbrel, N.A., Gulliver, S.B., & Morissette, S.B. (2015). Mindfulness, self-compassion, posttraumatic stress disorder symptoms, and functional disability in us Iraq and Afghanistan war veterans. //Journal of Traumatic Stress, 28//(5), 460-NA. https://doi.org/10.1002/jts.22045
Dick, A.M., Niles, B.L., Street, A.E., DiMartino, D.M., & Mitchell, K.S. (2014). Examining mechanisms of change in a yoga intervention for women: The influence of mindfulness, psychological flexibility, and emotion regulation on PTSD symptoms. //Journal of Clinical Psychology, 70//(12), 1170-1182. https://doi.org/10.1002/jclp.22104
Felleman, B.I., Stewart, D.G., Simpson, T.L., Heppner, P.S., & Kearney, D.J. (2016). Predictors of depression and PTSD Treatment response among veterans participating in mindfulness-based stress reduction. //Mindfulness, 7//(4), 886-895. https://doi.org/10.1007/s12671-016-0527-7
Frewen, P., Rogers, N., Flodrowski, L., & Lanius, R. (2015). Mindfulness and metta-based trauma therapy (MMTT): Initial development and proof-of-concept of an internet resource. //Mindfulness, 6//(6). https://doi.org/10.1007/s12671-015-0402-y
Gallegos, A.M., Cross, W., & Pigeon, W.R. (2015). Mindfulness-based stress reduction for veterans exposed to military sexual trauma: Rationale and implementation considerations. //Military Medicine, 180//(6), 684-689. https://doi.org/10.7205/MILMED-D-14-00448
Gonzalez, A., Locicero, B., Mahaffey, B., Fleming, C., Harris, J., & Vujanovic, A.A. (2016). Internalized HIV stigma and mindfulness associations with PTSD symptom severity in trauma-exposed adults With HIV/AIDS. //Behavior Modification, 40//(42737), 144-163. https://doi.org/10.1177/0145445515615354
Heffner, K.L., Crean, H.F., & Kemp, J.E. (2016). Meditation programs for veterans with posttraumatic stress disorder: Aggregate findings from a multi-site evaluation. //Psychological Trauma: Theory, Research, Practice and Policy, 8//(3), 365-374. https://doi.org/10.1037/tra0000106
Hoffart, A., Oktedalen, T., & Langkaas, T.F. (2015). Self-compassion influences PTSD symptoms in the process of change in trauma-focused cognitive-behavioral therapies: A study of within-person processes. //Frontiers in Psychology, 6//, 1273. https://doi.org/10.3389/fpsg.2015.01273
Hull, A., Holliday, S.B., Eickhoff, C., Rose-Boyce, M., Sullivan, P., & Reinhard, M. (2015). The Integrative Health and Wellness Program: Development and use of a complementary and alternative medicine clinic for veterans. //Alternative Therapies in Health and Medicine, 21//(6), 12-21. https://www.ncbi.nlm.nih.gov/pubmed/26567446
Jansen, J.E., & Morris, E.M.J. (2017). Acceptance and commitment therapy for posttraumatic stress disorder in early psychosis: A case series. //Cognitive and Behavioral Practice, 24//(2), 187-199. https://doi.org/10.1016/j.cbpra.2016.04.003
Kahn, J.R., Collinge, W., & Soltysik, R. (2016). Post-9/11 veterans and their partners improve mental health outcomes with a self-directed mobile and web-based wellness training program: A randomized controlled trial. //Journal of Medical Internet Research, 18//(9). https://doi.org/10.2196/jmir.5800
Kearney, D.J., Malte, C.A., McManus, C., Martinez, M.E., Felleman, B., & Simpson, T.L. (2013). Loving-kindness meditation for posttraumatic stress disorder: A pilot study. //Journal of Traumatic Stress, 26//(4), 426-434. https://doi.org/10.1002/jts.21832
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2012). Association of participation in a mindfulness program with measures of PTSD, depression and quality of life in a veteran sample. //Journal of Clinical Psychology, 68//(1), 101-116. https://doi.org/10.1002/jclp.20853
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2013). Effects of participation in a mindfulness program for veterans with posttraumatic stress disorder: A randomized controlled pilot study. //Journal of Clinical Psychology, 69//(1), 14-27. https://doi.org/10.1002/jclp.21911
Kearney, D.J., Simpson, T.L., Malte, C.A., Felleman, B., Martinez, M.E., & Hunt, S.C. (2016). Mindfulness-based stress reduction in addition to usual care is associated with improvements in pain, fatigue, and cognitive failures among veterans with Gulf War illness. //American Journal of Medicine, 129//(2), 204-214. https://doi.org/10.1016/j.amjmed.2015.09.015
Kelly, M.M., Sido, H., Forsyth, J.P., Ziedonis, D.M., Kalman, D., & Cooney, J.L. (2015). Acceptance and commitment therapy smoking cessation treatment for veterans with posttraumatic stress disorder: A pilot study. //Journal of Dual Diagnosis, 11//(1), 50-55. https://doi.org/10.1080/15504263.2014.992201
Kim, S.H., Schneider, S.M., Bevans, M., Kravitz, L., Mermier, C., Qualls, C., ... & Burge, M.R. (2013). PTSD symptom reduction with mindfulness-based stretching and deep breathing exercise: Randomized controlled clinical trial of efficacy. //Journal of Clinical Endocrinology & Metabolism, 98//(7), 2984-2992. https://doi.org/10.1210/jc.2012-3742
King, A.P., Block, S.R., Sripada, R.K., Rauch, S., Giardino, N., Favorite, T., ... & Liberzon, I. (2016). Altered default mode network (DMN) resting state functional connectivity following a mindfulness-based exposure therapy for posttraumatic stress disorder (PTSD) in combat veterans of Afghanistan and Iraq. //Depression and Anxiety, 33//(4), 289-299. https://doi.org/10.1002/da.22481
King, A.P., Block, S.R., Sripada, R.K., Rauchs, S.A.M., Porter, K.E., Favorite, T.K., ... & Liberzon, I. (2016).A pilot study of mindfulness-based exposure therapy in OEF/OIF combat veterans with PTSD: Altered medial frontal cortex and amygdala responses in social–emotional processing. //Frontiers in Psychiatry, 7//, 154. https://doi.org/10.3389/fpsyt.2016.00154
King, A.P., Erickson, T.M., Giardino, N.D., Favorite, T., Rauch, S.A.M., Robinson, E., ... & Liberzon, I. (2013). A pilot study of group mindfulness-based cognitive therapy (MBCT) for combat veterans with posttraumatic stress disorder (PTSD). //Depression and Anxiety, 30//(7), 638-645. https://doi.org/10.1002/da.22104
Kline, A., Chesin, M., Latorre, M., Miller, R., St Hill, L., Shcherbakov, A., ... & Interian, A. (2016). Rationale and study design of a trial of mindfulness-based cognitive therapy for preventing suicidal behavior (MBCT-S) in military veterans. //Contemporary Clinical Trials, 50//, 245-252. https://doi.org/10.1016/j.cct.2016.08.015
Kuhl, M., & Boyraz, G. (2017). Mindfulness, general trust, and social support among trauma-exposed college students. //Journal of Loss & Trauma, 22//(2), 150-162. https://doi.org/10.1080/15325024.2016.1212610
Lang, A.J., Strauss, J.L., Bomyea, J., Bormann, J.E., Hickman, S.D., Good, R.C., ... & Essex, M. (2012). The theoretical and empirical basis for meditation as an intervention for PTSD. //Behavior Modification, 36//(6), 759-786. https://doi.org/10.1177/0145445512441200
Lee, D.J., Witte, T.K., Weathers, F.W., & Davis, M.T. (2015). Emotion regulation strategy use and posttraumatic stress disorder: Associations between multiple strategies and specific symptom clusters. //Journal of Psychopathology and Behavioral Assessment, 37//(3), 533-544. https://doi.org/10.1007/s10862-014-9477-3
Luedtke, B., Davis, L., & Monson, C. (2015). Mindfulness-based cognitive-behavioral conjoint therapy for posttraumatic stress disorder: A case study. //Journal of Contemporary Psychotherapy, 45//(4), 227-234. https://doi.org/10.1007/s10879-015-9298-z
Martinez, M.E., Kearney, D.J., Simpson, T., Felleman, B.I., Bernardi, N., & Sayre, G. (2015). Challenges to enrollment and participation in mindfulness-based stress reduction among veterans: A qualitative study. //Journal of Alternative and Complementary Medicine, 21//(7), 409-421. https://doi.org/10.1089/acm.2014.0324
Muller-Engelmann, M., Wunsch, S., Volk, M., & Steil, R. (2017). Mindfulness-based stress reduction (MBSR) as a standalone intervention for posttraumatic stress disorder after mixed traumatic events: A mixed-methods feasibility study. //Frontiers in Psychology, 8//, 1407. https://doi.org/10.3389/fpsyg.2017.01407
Nakamura, Y., Lipschitz, D.L., Donaldson, G.W., Kida, Y., Williams, S.L., Landward, R., ... & Tuteja, A.K. (2017). Investigating clinical benefits of a novel sleep-focused mind-body program on Gulf War illness symptoms: A randomized controlled trial. //Psychosomatic Medicine, 79//(6), 706-718. https://doi.org/10.1097/PSY.0000000000000469
Nakamura, Y., Lipschitz, D.L., Landward, R., Kuhn, R., & West, G. (2011). Two sessions of sleep-focused mind-body bridging improve self-reported symptoms of sleep and PTSD in veterans: A pilot randomized controlled trial. //Journal of Psychosomatic Research, 70//(4), 335-345. https://doi.org/10.1016/j.jpsychores.2010.09.007
Niles, B.L., Mori, D.L., Polizzi, C.P., Kaiser, A.P., Ledoux, A.M., & Wang, C.C. (2016). Feasibility, qualitative findings and satisfaction of a brief Tai Chi mind-body programme for veterans with post-traumatic stress symptoms. //BMJ Open, 6//(11). https://doi.org/10.1136/bmjopen-2016-012464
Niles, B.L., Vujanovic, A.A., Silberbogen, A.K., Seligowski, A.V., & Potter, C.M. (2013). Changes in mindfulness following a mindfulness telehealth intervention. //Mindfulness, 4//(4), 301-310. https://doi.org/10.1007/s12671-012-0130-5
Northcut, T.B., & Kienow, A. (2014). The trauma trifecta of military sexual trauma: A case study illustrating the integration of mind and body in clinical work with survivors of MST. //Clinical Social Work Journal, 42//(3), 247-259. https://doi.org/10.1007/s10615-014-0479-0
Oman, D., & Bormann, J.E. (2015). Mantram repetition fosters self-efficacy in veterans for managing PTSD: A randomized trial. //Psychology of Religion and Spirituality, 7//(1), 34-45. https://doi.org/10.1037/a0037994
Owens, G.P., Walter, K.H., Chard, K.M., & Davis, P.A. (2012). Changes in mindfulness skills and treatment response among veterans in residential PTSD treatment. //Psychological Trauma: Theory, Research, Practice and Policy, 4//(2), 221-228. https://doi.org/10.1037/a0024251
Pigeon, W., Allen, C., Possemato, K., Bergen-Cico, D., & Treatman, S. (2015). Feasibility and acceptability of a brief mindfulness program for veterans in primary care with posttraumatic stress disorder. //Mindfulness, 6//(5),986–995. https://doi.org/10.1007/s12671-014-0340-0
Polusny, M.A., Erbes, C.R., Thuras, P., Moran, A., Lamberty, G.J., Collins, R.C., ... & Lim, K.O. (2015). Mindfulness-based stress reduction for posttraumatic stress disorder among veterans a randomized clinical trial. //JAMA: Journal of the American Medical Association, 314//(5), 456-465. https://doi.org/10.1001/jama.2015.8361
Pradhan, B., D'Amico, J.K., Makani, R., & Parikh, T. (2016). Nonconventional interventions for chronic post-traumatic stress disorder: Ketamine, repetitive trans-cranial magnetic stimulation (RTMS), and alternative approaches. //Journal of Trauma & Dissociation, 17//(1), 35-54. https://doi.org/10.1080/15299732.2015.1046101
Pradhan, B., Gray, R., Parikh, T., Akkireddi, P., & Pumariega, A. (2015). Trauma Interventions using Mindfulness Based Extinction and Reconsolidation (TIMBER©) as Monotherapy for Chronic PTSD: A Pilot Study. //Adolescent Psychiatry, 5//(2), 125-131. https://doi.org/10.2174/221067660502150430155038
Price, C.J., McBride, B., Hyerle, L., & Kivlahan, D.R. (2007). Mindful awareness in body-oriented therapy for female veterans with post-traumatic stress disorder taking prescription analgesics for chronic pain: A feasibility study. //Alternative Therapies in Health and Medicine, 13//(6), 32-40. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037268/
Rapgay, L., Ross, J.L., Petersen, O., Izquierdo, C., Harms, M., Hawa, S., ... & Couper, G. (2014). A proposed protocol integrating classical mindfulness with prolonged exposure therapy to treat posttraumatic stress disorder. //Mindfulness, 5//(6), 742-755. https://doi.org/10.1007/s12671-013-0231-9
Reber, C.A.S., Boden, M.T., Mitragotri, N., Alvarez, J., Gross, J.J., & Bonn-Miller, M.O. (2013). A prospective investigation of mindfulness skills and changes in emotion regulation among military veterans in posttraumatic stress disorder treatment. //Mindfulness, 4//(4), 311-317. https://doi.org/10.1007/s12671-012-0131-4
Rhodes, A., Spinazzola, J., & van der Kolk, B. (2016). Yoga for adult women with chronic PTSD: A long-term follow-up study. //Journal of Alternative and Complementary Medicine, 22//(3), 189-196. https://doi.org/10.1089/acm.2014.0407
Roy, M.J., Costanzo, M.E., Highland, K.B., Olsen, C., Clayborne, D., & Law, W. (2017). An app a day keeps the doctor away: Guided education and training via smartphones in subthreshold post traumatic stress disorder. //Cyberpsychology Behavior and Social Networking, 20//(8), 470-478. https://doi.org/10.1089/cyber.2017.0221
Schoorl, M., Van Mil-Klinkenberg, L., & Van Der Does, W. (2015). Mindfulness skills, anxiety sensitivity, and cognitive reactivity in patients with posttraumatic stress disorder. //Mindfulness, 6//(5), 1004-1011. https://doi.org/10.1007/s12671-014-0346-7
Seppala, E.M., Nitschke, J.B., Tudorascu, D.L., Hayes, A., Goldstein, M.R., Nguyen, D.T.H., ... & Davidson, R.J. (2014). Breathing-based meditation decreases posttraumatic stress disorder symptoms in US military veterans: A randomized controlled longitudinal study. //Journal of Traumatic Stress, 27//(4), 397-405. https://doi.org/10.1002/jts.21936
Shipherd, J.C., Salters-Pedneault, K., & Fordiani, J. (2016). Evaluating postdeployment training for coping with intrusive cognition: A comparison of training approaches. //Journal of Consulting and Clinical Psychology, 84//(11), 960-971. https://doi.org/10.1037/ccp0000136
Smith, K., Firth, K., Smeeding, S., Wolever, R., Kaufman, J., Delgado, R., ... & Xenalcis, L. (2016). Guidelines for creating, implementing, and evaluating mind-body programs in a military healthcare setting. //Explore: The Journal of Science and Healing, 12//(1), 18-33. https://doi.org/10.1016/j.explore.2015.10.002
Stephenson, K.R., Simpson, T.L., Martinez, M.E., & Kearney, D.J. (2017). Changes in mindfulness and posttraumatic stress disorder symptoms among veterans enrolled in mindfulness-based stress reduction. //Journal of Clinical Psychology, 73//(3), 201-217. https://doi.org/10.1002/jclp.22323
Swick, D., Honzel, N., & Turken, U. (2015). Intact error monitoring in combat veterans with post-traumatic stress disorder. //Psychiatry Research-neuroimaging, 234//(2), 227-238. https://doi.org/10.1016/j.pscychresns.2015.09.016
Thompson, R.W., Arnkoff, D.B., & Glass, C.R. (2011). Conceptualizing mindfulness and acceptance as components of psychological resilience to trauma. //Trauma Violence & Abuse, 12//(4), 220-235. https://doi.org/10.1177/1524838011416375
van der Kolk, B.A., Stone, L., West, J., Rhodes, A., Emerson, D., Suvak, M., ... & Spinazzola, J. (2014). Yoga as an adjunctive treatment for posttraumatic stress disorder: A randomized controlled trial. //Journal of Clinical Psychiatry, 75//(6), E559-E565. https://doi.org/10.4088/JCP.13m08561
Vrana, C., Killeen, T., Brant, V., Mastrogiovanni, J., & Baker, N.L. (2017). Rationale, design, and implementation of a clinical trial of a mindfulness based relapse prevention protocol for the treatment of women with comorbid post traumatic stress disorder and substance use disorder. //Contemporary Clinical Trials, 61//, 108-114. https://doi.org/10.1016/j.cct.2017.07.024
Vujanovic, A.A., Niles, B., Pietrefesa, A., Schmertz, S.K., & Potter, C.M. (2011). Mindfulness in the treatment of posttraumatic stress disorder among military veterans. //Professional Psychology-research and Practice, 42//(1), 24-31. https://doi.org/10.1037/a0022272
Wahbeh, H., Goodrich, E., Goy, E., & Oken, B.S. (2016). Mechanistic pathways of mindfulness meditation in combat veterans with posttraumatic stress disorder. //Journal of Clinical Psychology, 72//(4), 365-383. https://doi.org/10.1002/jclp.22255
Wimalawansa, S.J. (2014). Mechanisms of developing post-traumatic stress disorder: New targets for drug development and other potential interventions. //CNS & Neurological Disorders-drug Targets, 13//(5), 807-816. https://doi.org/10.2174/1871527313666140711091026
Akerjordet, K., & Severinsson, E. (2010). Being in charge - new mothers' perceptions of reflective leadership and motherhood. //Journal of Nursing Management, 18//(4), 409-417. https://doi.org/10.1111/j.1365-2834.2010.01108.x
Apolzan, J.W., Myers, C.A., Cowley, A.D., Brady, H., Hsia, D.S., Stewart, T.M., ... & Martin, C.K. (2016). Examination of the reliability and validity of the mindful eating questionnaire in pregnant women. //Appetite, 100//, 142-151. https://doi.org/10.1016/j.appet.2016.02.025
Beales, D., Lutz, A., Thompson, J., Wand, B.M., & O'Sullivan, P. (2016). Disturbed body perception, reduced sleep, and kinesiophobia in subjects with pregnancy-related persistent lumbopelvic pain and moderate levels of disability: An exploratory study. //Manual Therapy, 21//, 69-75. https://doi.org/10.1016/j.math.2015.04.016
Beddoe, A.E., Lee, K.A., Weiss, S.J., Kennedy, H.P., & Yang, C.P.P. (2010). Effects of mindful yoga on sleep in pregnant women: A pilot study. //Biological Research for Nursing, 11//(4), 363-370. https://doi.org/10.1177/1099800409356320
Beddoe, A.E., Yang, C.P.P., Kennedy, H.P., Weiss, S.J., & Lee, K.A. (2009). The effects of mindfulness-based yoga during pregnancy on maternal psychological and physical distress. //Journal of Obstetric Gynecologic and Neonatal Nursing, 38//(3), 310-319. https://doi.org/10.1111/j.1552-6909.2009.01023.x
Bowen, A., Baetz, M., Schwartz, L., Balbuena, L., & Muhajarine, N. (2014). Antenatal group therapy improves worry and depression symptoms. //Israel Journal of Psychiatry and Related Sciences, 51//(3), 226-231. https://www.ncbi.nlm.nih.gov/pubmed/25618288
Braeken, M.A.K.A., Jones, A., Otte, R.A., Nyklicek, I., & Van den Bergh, B.R.H. (2017). Potential benefits of mindfulness during pregnancy on maternal autonomic nervous system function and infant development. //Psychophysiology, 54//(2), 279-288. https://doi.org/10.1111/psyp.12782
Cacciatore, J. (2013). Psychological effects of stillbirth. //Seminars in Fetal & Neonatal Medicine, 18//(2), 76-82. https://doi.org/10.1016/j.siny.2012.09.001
Chan, K.P. (2014). Prenatal meditation influences infant behaviors. //Infant Behavior & Development, 37//(4), 556-561. https://doi.org/10.1016/j.infbeh.2014.06.011
Coo, S., Milgrom, J., & Trinder, J. (2014). Mood and objective and subjective measures of sleep during late pregnancy and the postpartum period. //Behavioral Sleep Medicine, 12//(4), 317-330. https://doi.org/10.1080/15402002.2013.801348
Dimidjian, S., & Goodman, S.H. (2014). Preferences and attitudes toward approaches to depression relapse/recurrence prevention among pregnant women. //Behaviour Research and Therapy, 54//, 7-11. https://doi.org/10.1016/j.brat.2013.11.008
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2015). An open trial of mindfulness-based cognitive therapy for the prevention of perinatal depressive relapse/recurrence. //Archives of Women’s Mental Health, 18//(1), 85-94. https://doi.org/10.1007/s00737-014-0468-x
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2016). Staying well during pregnancy and the postpartum: A pilot randomized trial of mindfulness-based cognitive therapy for the prevention of depressive relapse/recurrence. //Journal of Consulting and Clinical Psychology, 84//(2), 134-145. https://doi.org/10.1037/ccp0000068
Duncan, L.G., & Bardacke, N. (2010). Mindfulness-based childbirth and parenting education: Promoting family mindfulness during the perinatal period. //Journal of Child and Family Studies, 19//(2), 190-202. https://doi.org/10.1007/s10826-009-9313-7
Faramarzi, M., Yazdani, S., & Barat, S. (2015). A RCT of psychotherapy in women with nausea and vomiting of pregnancy. //Human Reproduction, 30//(12), 2764-2773. https://doi.org/10.1093/humrep/dev248
Felder, J.N., Segal, Z., Beck, A., Sherwood, N.E., Goodman, S.H., Boggs, J., ... & Dimidjian, S. (2017). An open trial of web-based mindfulness-based cognitive therapy for perinatal women at risk for depressive relapse. //Cognitive and Behavioral Practice, 24//(1), 26-37. https://doi.org/10.1016/j.cbpra.2016.02.002
Frazer, C., & Stathas, S.A. (2015). Mindfulness: Being present in the moment. //International Journal of Childbirth Education, 30//(2), 77-83. https://scholarworks.waldenu.edu/cgi/viewcontent.cgi?article=1052&context=sn_pubs
Goodman, J.H., Guarino, A., Chenausky, K., Klein, L., Prager, J., Petersen, R., ... & Freeman, M. (2014). Calm pregnancy: Results of a pilot study of mindfulness-based cognitive therapy for perinatal anxiety. //Archives of Womens Mental Health, 17//(5), 373-387. https://doi.org/10.1007/s00737-013-0402-7
Guardino, C.M., Schetter, C.D., Bower, J.E., Lu, M.C., & Smalley, S.L. (2014). Randomised controlled pilot trial of mindfulness training for stress reduction during pregnancy. //Psychology & Health, 29//(3), 334-349. https://doi.org/10.1080/08870446.2013.852670
Hall, H.G., Beattie, J., Lau, R., East, C., & Biro, M.A. (2016). Mindfulness and perinatal mental health: A systematic review. //Women and Birth, 29//(1), 62-71. https://doi.org/10.1016/j.wombi.2015.08.006
Hosseinian, S., Shahtaheri, E., Ebrahimi, M., Mahdavi, A., & Sepahvandi, M.A. (2016). Effectiveness of mindfulness-based cognitive therapy and metacognition therapy on reduction of symptoms of depression, core self-evaluation and emotion regulation difficulties in pregnant women with depression. //Acta Medica Mediterranea, 32//, 2031-2036.
Hutchinson, A.D., Charters, M., Prichard, I., Fletcher, C., & Wilson, C. (2017). Understanding maternal dietary choices during pregnancy: The role of social norms and mindful eating. //Appetite, 112//, 227-234. https://doi.org/10.1016/j.appet.2017.02.004
Korukcu, O., & Kukulu, K. (2017). The effect of the mindfulness-based transition to motherhood program in pregnant women with preterm premature rupture of membranes. //Health Care for Women International, 38//(7), 765-785. https://doi.org/10.1080/07399332.2017.1318882
Laurent, H.K., Duncan, L.G., Lightcap, A., & Khan, F. (2017). Mindful parenting predicts mothers' and infants' hypothalamic-pituitary-adrenal activity during a dyadic stressor. //Developmental Psychology, 53//(3), 417-424. https://doi.org/10.1037/dev0000258
Loree, A.M., Ondersma, S.J., & Grekin, E.R. (2017). Toward enhancing treatment for pregnant smokers: Laying the groundwork for the use of complementary and alternative medicine approaches. //Nicotine & Tobacco Research, 19//(5), 562-571. https://doi.org/10.1093/ntr/ntw262
Malis, F.R., Meyer, T., & Gross, M.M. (2017). Effects of an antenatal mindfulness-based childbirth and parenting programme on the postpartum experiences of mothers: A qualitative interview study. //BMC Pregnancy and Childbirth, 17//,57. https://doi.org/10.1186/s12884-017-1240-9
Matvienko-Sikar, K., & Dockray, S. (2017). Effects of a novel positive psychological intervention on prenatal stress and well-being: A pilot randomised controlled trial. //Women and Birth, 30//(2), E111-E118. https://doi.org/10.1016/j.wombi.2016.10.003
Matvienko-Sikar, K., Lee, L., Murphy, G., & Murphy, L. (2016). The effects of mindfulness interventions on prenatal well-being: A systematic review. //Psychology & Health, 31//(12), 1415-1434. https://doi.org/10.1080/08870446.2016.1220557
Miklowitz, D.J., Semple, R.J., Hauser, M., Elkun, D., Weintraub, M.J., & Dimidjian, S. (2015). Mindfulness-based cognitive therapy for perinatal women with depression or bipolar spectrum disorder. //Cognitive Therapy and Research, 39//(5), 590-600. https://doi.org/10.1007/s10608-015-9681-9
Misri, S., Abizadeh, J., Sanders, S., & Swift, E. (2015). Perinatal generalized anxiety disorder: Assessment and treatment. //Journal of Women's Health, 24//(9),762-770. https://doi.org/10.1089/jwh.2014.5150
Muthukrishnan, S., Jain, R., Kohli, S., & Batra, S. (2016). Effect of mindfulness meditation on perceived stress scores and autonomic function tests of pregnant Indian women. //Journal of Clinical and Diagnostic Research, 10//(4), CC5-CC8. https://doi.org/10.7860/JCDR/2016/16463.7679
O' Leary, K., Dockray, S., & Hammond, S. (2016). Positive prenatal well-being: Conceptualising and measuring mindfulness and gratitude in pregnancy. //Archives of Women’s Mental Health, 19//(4), 665-673. https://doi.org/10.1007/s00737-016-0620-x
O'Brien, M.L., Buikstra, E., Fallon, T., & Hegney, D. (2009). Strategies for success: A toolbox of coping strategies used by breastfeeding women. //Journal of Clinical Nursing, 18//(11), 1574-1582. https://doi.org/10.1111/j.1365-2702.2008.02667.x
Perez-Blasco, J., Viguer, P., & Rodrigo, M.F. (2013). Effects of a mindfulness-based intervention on psychological distress, well-being, and maternal self-efficacy in breast-feeding mothers: Results of a pilot study. //Archives of Women's Mental Health, 16//(3), 227-236. https://doi.org/10.1007/s00737-013-0337-z
Pickard, J.A., Townsend, M., Caputi, P., & Grenyer, B.F.S. (2017). Observing the influence of mindfulness and attachment styles through mother and infant interaction: A longitudinal study. //Infant Mental Health Journal, 38//(3), 343-350. https://doi.org/10.1002/imhj.21645
Potharst, E.S., Aktar, E., Rexwinkel, M., Rigterink, M., & Bogels, S.M. (2017). Mindful with your baby: Feasibility, acceptability, and effects of a mindful parenting group training for mothers and their babies in a mental health context. //Mindfulness, 8//(5), 1236-1250. https://doi.org/10.1007/s12671-017-0699-9
Roberts, L.R., & Montgomery, S.B. (2015). Mindfulness-based intervention for perinatal grief after stillbirth in rural India. //Issues in Mental Health Nursing, 36//(3), 222-230. https://doi.org/10.3109/01612840.2014.962676
Roberts, L.R., & Montgomery, S.B. (2016). Mindfulness-based intervention for perinatal grief in rural india: Improved mental health at 12months follow-up. //Issues in Mental Health Nursing, 37//(12), 942-951. https://doi.org/10.1080/01612840.2016.1236864
Sredl, D., & Aukamp, V. (2006). Evidence-based nursing care management for the pregnant woman with an ostomy. //Journal of Wound Ostomy and Continence Nursing, 33//(1), 42-49. https://doi.org/10.1097/00152192-200601000-00005
Thomas, M., Vieten, C., Adler, N., Ammondson, I., Coleman-Phox, K., Epel, E., ... & Laraia, B. (2014). Potential for a stress reduction intervention to promote healthy gestational weight gain: Focus groups with low-income pregnant women. //Womens Health Issues, 24//(3), E305-E311. https://doi.org/10.1016/j.whi.2014.02.004
Tomfohr-Madsen, L.M., Campbell, T.S., Giesbrecht, G.F., Letourneau, N.L., Carlson, L.E., Madsen, J.W., ... & Dimidjian, S. (2016). Mindfulness-based cognitive therapy for psychological distress in pregnancy: Study protocol for a randomized controlled trial. //Trials, 17//,498. https://doi.org/10.1186/s13063-016-1601-0
Umylny, P., German, M., & Lantiere, A. (2017). Treating postpartum mood and anxiety disorders in primary care pediatrics. //Current Problems in Pediatric and Adolescent Health Care, 47//(10), 254-266. https://doi.org/10.1016/j.cppeds.2017.08.003
van den Heuvel, M.I., Donkers, F.C.L., Winkler, I., Otte, R.A., & Van den Bergh, B.R.H. (2015). Maternal mindfulness and anxiety during pregnancy affect infants' neural responses to sounds. //Social Cognitive and Affective Neuroscience, 10//(3), 453-460. https://doi.org/10.1093/scan/nsu075
van den Heuvel, M.I., Johannes, M.A., Henrichs, J., & Van den Bergh, B.R.H. (2015). Maternal mindfulness during pregnancy and infant socio-emotional development and temperament: The mediating role of maternal anxiety. //Early Human Development, 91//(2), 103-108. https://doi.org/10.1016/j.earlhumdev.2014.12.003
Veringa, I.K., de Bruin, E.I., Bardacke, N., Duncan, L.G., van Steensel, F.J.A., Dirksen, C.D., ... & Bogels, S.M. (2016). 'I've changed my mind', Mindfulness-based Childbirth and Parenting (MBCP) for pregnant women with a high level of fear of childbirth and their partners: Study protocol of the quasi-experimental controlled trial. //BMC Psychiatry, 16//,377. https://doi.org/10.1186/s12888-016-1070-8
Vieten, C., & Astin, J. (2008). Effects of a mindfulness-based intervention during pregnancy on prenatal stress and mood: Results of a pilot study. //Archives of Women's Mental Health, 11//(1), 67-74. https://doi.org/10.1007/s00737-008-0214-3
Woolhouse, H., Mercuri, K., Judd, F., & Brown, S.J. (2014). Antenatal mindfulness intervention to reduce depression, anxiety and stress: A pilot randomised controlled trial of the //MindBabyBody// program in an Australian tertiary maternity hospital. //BMC Pregnancy and Childbirth, 14//,369. https://doi.org/10.1186/s12884-014-0369-z
Yamamoto, N., Naruse, T., Sakai, M., & Nagata, S. (2017). Relationship between maternal mindfulness and anxiety 1 month after childbirth. //Japan Journal of Nursing Science, 14//(4), 267-276. https://doi.org/10.1111/jjns.12157
Yazdanimehr, R., Omidi, A., Akbari, H., & Sadat, Z. (2017). Mindfulness training and quality of life among pregnant women: A randomized clinical trial. //Nursing and Midwifery Studies, 6//(2),e32570. http://nmsjournal.kaums.ac.ir/article_65491.html
Zhang, H.Y., & Emory, E.K. (2015). A mindfulness-based intervention for pregnant African-American women. //Mindfulness, 6//(3), 663-674. https://doi.org/10.1007/s12671-014-0304-4
Zilcha-Mano, S., & Langer, E. (2016). Mindful attention to variability intervention and successful pregnancy outcomes. //Journal of Clinical Psychology, 72//(9), 897-907. https://doi.org/10.1002/jclp.22294
Radel, R., Sarrazin, P., Legrain, P., & Gobance, L. (2009). Subliminal priming of motivational orientation in educational settings: Effect on academic performance moderated by mindfulness. //Journal of Research in Personality, 43//(4), 695-698. https://doi.org/10.1016/j.jrp.2009.02.011
Rowe, A.C., Shepstone, L., Carnelley, K.B., Cavanagh, K., & Millings, A. (2016). Attachment security and self-compassion priming increase the likelihood that first-time engagers in mindfulness meditation will continue with mindfulness training. //Mindfulness, 7//(3), 642-650. https://doi.org/10.1007/s12671-016-0499-7
Drozd, F., Raeder, S., Kraft, P., & Bjorkli, C.A. (2013). Multilevel growth curve analyses of treatment effects of a web-based intervention for stress reduction: Randomized controlled trial. //Journal of Medical Internet Research, 15//(4), e84. https://doi.org/10.2196/jmir.2570
Flett, A.L., Haghbin, M., & Pychyl, T.A. (2016). Procrastination and depression from a cognitive perspective: An exploration of the associations among procrastinatory automatic thoughts, rumination, and mindfulness. //Journal of Rational-Emotive and Cognitive-Behavior Therapy, 34//(3), 169-186. https://doi.org/10.1007/s10942-016-0235-1
Glick, D.M., & Orsillo, S.M. (2015). An investigation of the efficacy of acceptance-based behavioral therapy for academic procrastination. //Journal of Experimental Psychology: General, 144//(2), 400-409. https://doi.org/10.1037/xge0000050
Sirois, F.M. (2014). Procrastination and stress: Exploring the role of self-compassion. //Self and Identity, 13//(2), 128-145. https://doi.org/10.1080/15298868.2013.763404
Sirois, F.M., & Tosti, N. (2012). Lost in the moment? An investigation of procrastination, mindfulness, and well-being. //Journal of Rational-Emotive and Cognitive-Behavior Therapy, 30//(4), 237-248. https://doi.org/10.1007/s10942-012-0151-y
Azam, M.A., Mongrain, M., Vora, K., Pirbaglou, M., Azargive, S., Changoor, T., ... & Ritvo, P. (2016). Mindfulness as an alternative for supporting university student mental health: Cognitive-emotional and depressive self-criticism measures. //International Journal of Educational Psychology, 5//(2), 140-163. https://doi.org/10.17583/ijep.2016.1504
Garlick, M., Wall, K., Corwin, D., & Koopman, C. (2011). Psycho-spiritual integrative therapy for women with primary breast cancer. //Journal of Clinical Psychology in Medical Settings, 18//(1), 78-90. https://doi.org/10.1007/s10880-011-9224-9
Tzeng, J.Y. (2006). Matching users' diverse social scripts with resonating humanized features to create a polite interface. //International Journal of Human-computer Studies, 64//(12), 1230-1242. https://doi.org/10.1016/j.ijhcs.2006.08.011
Agee, J.D., Danoff-Burg, S., & Grant, C.A. (2009). Comparing brief stress management courses in a community sample: Mindfulness skills and progressive muscle relaxation. //Explore: The Journal of Science and Healing, 5//(2), 104-109. https://doi.org/10.1016/j.explore.2008.12.004
Feldman, G., Greeson, J., & Senville, J. (2010). Differential effects of mindful breathing, progressive muscle relaxation, and loving-kindness meditation on decentering and negative reactions to repetitive thoughts. //Behaviour Research and Therapy, 48//(10), 1002-1011. https://doi.org/10.1016/j.brat.2010.06.006
Hughes, J.W., Fresco, D.M., Myerscough, R., van Dulmen, M.H.M., Carlson, L.E., & Josephson, R. (2013). Randomized controlled trial of mindfulness-based stress reduction for prehypertension. //Psychosomatic Medicine, 75//(8), 721-728. https://doi.org/10.1097/PSY.0b013e3182a3e4e5
Lancaster, S.L., Klein, K.P., & Knightly, W. (2016). Mindfulness and relaxation: A comparison of brief, laboratory-based interventions. //Mindfulness, 7//(3), 614-621. https://doi.org/10.1007/s12671-016-0496-x
Sharpe, L., Perry, K.N., Rogers, P., Dear, B.F., Nicholas, M.K., & Refshauge, K. (2010). A comparison of the effect of attention training and relaxation on responses to pain. //Pain, 150//(3), 469-476. https://doi.org/10.1016/j.pain.2010.05.027
Hanley, A., Warner, A., & Garland, E.L. (2015). Associations between mindfulness, psychological well-being, and subjective well-being with respect to contemplative practice. //Journal of Happiness Studies, 16//(6), 1423-1436. https://doi.org/10.1007/s10902-014-9569-5
Iani, L., Lauriola, M., Cafaro, V., & Didonna, F. (2017). Dimensions of mindfulness and their relations with psychological well-being and neuroticism. //Mindfulness, 8//(3), 664-676. https://doi.org/10.1007/s12671-016-0645-2
Ryan, R.M., Huta, V., & Deci, E.L. (2008). Living well: A self-determination theory perspective on Eudaimonia. //Journal of Happiness Studies, 9//(1), 139-170. https://doi.org/10.1007/s10902-006-9023-4
Singleton, O., Holzel, B.K., Vangel, M., Brach, N., Carmody, J., & Lazar, S.W. (2014). Change in brainstem gray matter concentration following a mindfulness-based intervention is correlated with improvement in psychological well-being. //Frontiers in Human Neuroscience, 8//, 33. https://doi.org/10.3389/fnhum.2014.00033
Sun, X.Y., Chan, D.W., & Chan, L.K. (2016). Self-compassion and psychological well-being among adolescents in Hong Kong: Exploring gender differences. //Personality and Individual Differences, 101//, 288-292. https://doi.org/10.1016/j.paid.2016.06.011
Di Benedetto, M., & Swadling, M. (2014). Burnout in Australian psychologists: Correlations with work-setting, mindfulness and self-care behaviours. //Psychology Health & Medicine, 19//(6), 705-715. https://doi.org/10.1080/13548506.2013.861602
Wise, E.H., Hersh, M.A., & Gibson, C.M. (2012). Ethics, self-care and well-being for psychologists: Reenvisioning the stress-distress continuum. //Professional Psychology-research and Practice, 43//(5), 487-494. https://doi.org/10.1037/a0029446
Abba, N., Chadwick, P., & Stevenson, C. (2008). Responding mindfully to distressing psychosis: A grounded theory analysis. //Psychotherapy Research, 18//(1), 77-87. https://doi.org/10.1080/10503300701367992
Ashcroft, K., Barrow, F., Lee, R., & MacKinnon, K. (2012). Mindfulness groups for early psychosis: A qualitative study. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(3), 327-334. https://doi.org/10.1111/j.2044-8341.2011.02031.x
Chadwick, P., Hughes, S., Russell, D., Russell, I., & Dagnan, D. (2009). Mindfulness groups for distressing voices and paranoia: A replication and randomized feasibility trial. //Behavioural and Cognitive Psychotherapy, 37//(4), 403-412. https://doi.org/10.1017/S1352465809990166
Collip, D., Geschwind, N., Peeters, F., Myin-Germeys, I., van Os, J., & Wichers, M. (2013). Putting a hold on the downward spiral of paranoia in the social world: A randomized controlled trial of mindfulness-based cognitive therapy in individuals with a history of depression. //PLOS ONE, 8//(6). https://doi.org/10.1371/journal.pone.0066747
Dyga, K., & Stupak, R. (2015). Meditation and psychosis: Trigger or cure?. //Archives of Psychiatry and Psychotherapy, 17//(3), 48-58. https://doi.org/10.12740/APP/58976
Ellett, L. (2013). Mindfulness for paranoid beliefs: Evidence from two case studies. //Behavioural and Cognitive Psychotherapy, 41//(2), 238-242. https://doi.org/10.1017/S1352465812000586
Ellett, L., Freeman, D., & Garety, P.A. (2008). The psychological effect of an urban environment on individuals with persecutory delusions: The camberwell walk study. //Schizophrenia Research, 99//(42738), 77-84. https://doi.org/10.1016/j.schres.2007.10.027
Gaudiano, B.A., Busch, A.M., Wenze, S.J., Nowlan, K., Epstein-Lubow, G., & Miller, I.W. (2015). Acceptance-based behavior therapy for depression with psychosis: Results from a pilot feasibility randomized controlled trial. //Journal of Psychiatric Practice, 21//(5), 320-333. https://doi.org/10.1097/PRA.0000000000000092
Jansen, J.E., & Morris, E.M.J. (2017). Acceptance and commitment therapy for posttraumatic stress disorder in early psychosis: A case series. //Cognitive and Behavioral Practice, 24//(2), 187-199. https://doi.org/10.1016/j.cbpra.2016.04.003
Johns, L.C., Oliver, J.E., Khondoker, M., Byrne, M., Jolley, S., Wykes, T., ... & Morris, E.M.J. (2016). The feasibility and acceptability of a brief acceptance and commitment therapy (act) group intervention for people with psychosis: The 'act for life' study. //Journal of Behavior Therapy and Experimental Psychiatry, 50//, 257-263. https://doi.org/10.1016/j.jbtep.2015.10.001
Langer, A.I., Cangas, A.J., Salcedo, E., & Fuentes, B. (2012). Applying mindfulness therapy in a group of psychotic individuals: A controlled study. //Behavioural and Cognitive Psychotherapy, 40//(1), 105-109. https://doi.org/10.1017/S1352465811000464
Langer, A.I., Schmidt, C., Mayol, R., Diaz, M., Lecaros, J., Krogh, E., ... & Gaspar, P.A. (2017). The effect of a mindfulness-based intervention in cognitive functions and psychological well-being applied as an early intervention in schizophrenia and high-risk mental state in a chilean sample: Study protocol for a randomized controlled trial. //Trials, 18//233. https://doi.org/10.1186/s13063-017-1967-7
Moritz, S., Cludius, B., Hottenrott, B., Schneider, B.C., Saathoff, K., Kuelz, A.K., ... & Gallinat, J. (2015). Mindfulness and relaxation treatment reduce depressive symptoms in individuals with psychosis. //European Psychiatry, 30//(6), 709-714. https://doi.org/10.1016/j.eurpsy.2015.05.002
Murphy, E.K., Tully, S., Pyle, M., Gumley, A.I., Kingdon, D., Schwannauer, M., ... & Morrison, A.P. (2017). The beliefs about paranoia scale: Confirmatory factor analysis and tests of a metacognitive model of paranoia in a clinical sample. //Psychiatry Research, 248//, 87-94. https://doi.org/10.1016/j.psychres.2016.11.012
Oliver, J.E., McLachlan, K., Jose, P.E., & Peters, E. (2012). Predicting changes in delusional ideation: The role of mindfulness and negative schemas. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(3), 243-259. https://doi.org/10.1111/j.2044-8341.2011.02025.x
Randal, C., Bucci, S., Morera, T., Barrett, M., & Pratt, D. (2016). Mindfulness-based cognitive therapy for psychosis: Measuring psychological change using repertory grids. //Clinical Psychology & Psychotherapy, 23//(6), 496-508. https://doi.org/10.1002/cpp.1966
Tong, A.C.Y., Lin, J.J.X., Cheung, V.Y.K., Lau, N.K.M., Chang, W.C., Chan, S.K., ... & Chen, E.Y.H. (2016). A low-intensity mindfulness-based intervention for mood symptoms in people with early psychosis: Development and pilot evaluation. //Clinical Psychology & Psychotherapy, 23//(6), 550-560. https://doi.org/10.1002/cpp.1981
White, R., Gumley, A., McTaggart, J., Rattrie, L., McConville, D., Cleare, S., ... & Mitchell, G. (2011). A feasibility study of acceptance and commitment therapy for emotional dysfunction following psychosis. //Behaviour Research and Therapy, 49//(12), 901-907. https://doi.org/10.1016/j.brat.2011.09.003
White, R.G., Gumley, A.I., McTaggart, J., Rattrie, L., McConville, D., Cleare, S., ... & Mitchell, G. (2013). Depression and Anxiety following psychosis: Associations with mindfulness and psychological flexibility. //Behavioural and Cognitive Psychotherapy, 41//(1), 34-51. https://doi.org/10.1017/S1352465812000239
Wong, A.W.S., & Chen, E.Y.H. (2015). Psychometric properties of translated outcome measures of cognitive behavioural therapy for psychosis in the chinese context. //Asian Journal of Psychiatry, 13//, 62-65. https://doi.org/10.1016/j.ajp.2014.09.005
Biesinger, E., Kipman, U., Schatz, S., & Langguth, B. (2010). Qigong for the treatment of tinnitus: A prospective randomized controlled study. //Journal of Psychosomatic Research, 69//(3), 299-304. https://doi.org/10.1016/j.jpsychores.2010.04.013
Chen, K.W., Comerford, A., Shinnick, P., & Ziedonis, D.M. (2010).Introducing Qigong meditation into residential addiction treatment: A pilot study where gender makes a difference. //Journal of Alternative and Complementary Medicine, 16//(8), 875-882. https://doi.org/10.1089/acm.2009.0443
Chrisman, J.A., Christopher, J.C., & Lichtenstein, S.J. (2009). Qigong as a mindfulness practice for counseling students: A qualitative study. //Journal of Humanistic Psychology, 49//(2), 236-257. https://doi.org/10.1177/0022167808327750
Faber, P.L., Lehmann, D., Tei, S., Tsujiuchi, T., Kumano, H., Pascual-Marqui, R.D., ... & Kochi, K. (2012). EEG source imaging during two Qigong meditations. //Cognitive Processing, 13//(3), 255-265. https://doi.org/10.1007/s10339-012-0441-4
Jouper, J., & Gustafsson, H. (2013). Mindful recovery: A case study of a burned-out elite shooter. //Sport Psychologist, 27//(1), 92-102. https://doi.org/10.1123/tsp.27.1.92
Leung, Y., & Singhal, A. (2004). An examination of the relationship between qigong meditation and personality. //Social Behavior and Personality, 32//(4), 313-320. https://doi.org/10.2224/sbp.2004.32.4.313
Tiwari, A., Chan, C.L.W., Ho, R.T.H., Tsao, G.S.W., Deng, W., Hong, A.W.L., ... & Ma, J.L.C. (2014). Effect of a qigong intervention program on telomerase activity and psychological stress in abused Chinese women: A randomized, wait-list controlled trial. //BMC Complementary and Alternative Medicine, 14//, 300. https://doi.org/10.1186/1472-6882-14-300
Schirda, B., Nicholas, J.A., & Prakash, R.S. (2015). Examining trait mindfulness, emotion dysregulation, and quality of life in multiple sclerosis. //Health Psychology, 34//(11), 1107-1115. https://doi.org/10.1037/hea0000215
Duarte, J., Pinto-Gouveia, J., & Cruz, B. (2016). Relationships between nurses' empathy, self-compassion and dimensions of professional quality of life: A cross-sectional study. //International Journal of Nursing Studies, 60//, 1-11. https://doi.org/10.1016/j.ijnurstu.2016.02.015
Densham, S., Williams, D., Johnson, A., & Turner-Cobb, J.M. (2016). Enhanced psychological flexibility and improved quality of life in chronic fatigue syndrome/myalgic encephalomyelitis. //Journal of Psychosomatic Research, 88//, 42-47. https://doi.org/10.1016/j.jpsychores.2016.07.009
Fordham, B., Griffiths, C.E.M., & Bundy, C. (2015). A pilot study examining mindfulness-based cognitive therapy in psoriasis. //Psychology Health & Medicine, 20//(1), 121-127. https://doi.org/10.1080/13548506.2014.902483
Rayan, A., & Ahmad, M. (2016). Effectiveness of mindfulness-based interventions on quality of life and positive reappraisal coping among parents of children with autism spectrum disorder. //Research in Developmental Disabilities, 55//, 185-196. https://doi.org/10.1016/j.ridd.2016.04.002
Pollard, A., Burchell, J.L., Castle, D., Neilson, K., Ftanou, M., Corry, J., ... & Couper, J. (2017). Individualised mindfulness-based stress reduction for head and neck cancer patients undergoing radiotherapy of curative intent: A descriptive pilot study. //European Journal of Cancer Care, 26//(2). https://doi.org/10.1111/ecc.12474
Yazdanimehr, R., Omidi, A., Akbari, H., & Sadat, Z. (2017). Mindfulness training and quality of life among pregnant women: A randomized clinical trial. //Nursing and Midwifery Studies, 6//(2). https://doi.org/10.5812/nmsjournal.32570
Rayan, A.H.R. (2017). Mindfulness, quality of life, and severity of depressive symptoms among patients with schizophrenia and patients with major depressive disorder. //Journal of Psychosocial Nursing and Mental Health Services, 55//(5), 40-50. https://doi.org/10.3928/02793695-20170420-05
Cillessen, L., van de Ven, M.O., & Karremans, J.C. (2017). The role of trait mindfulness in quality of life and asthma control among adolescents with asthma. //Journal of Psychosomatic Research, 99//, 143-148. https://doi.org/10.1016/j.jpsychores.2017.06.014
Pagnini, F., Phillips, D., Bosma, C.M., Reece, A., & Langer, E. (2015). Mindfulness, physical impairment and psychological well-being in people with amyotrophic lateral sclerosis. //Psychology & Health, 30//(5), 503-517. https://doi.org/10.1080/08870446.2014.982652
Altschuler, A., Rosenbaum, E., Gordon, P., Canales, S., & Avins, A.L. (2012). Audio recordings of mindfulness-based stress reduction training to improve cancer patients' mood and quality of life-A pilot feasibility study. //Supportive Care in Cancer, 20//(6), 1291-1297. https://doi.org/10.1007/s00520-011-1216-7
Aivaliotis, V.I., Lee, Y., Zia, J., Wassef, W., Abramson, M., & Park, W. (2017). Telephone-based mindfulness therapy intervention for patients with chronic pancreatitis. //Digestive Diseases and Sciences, 62//(2), 502-509. https://doi.org/10.1007/s10620-016-4389-6
Van der Gucht, K., Takano, K., Labarque, V., Vandenabeele, K., Nolf, N., Kuylen, S., ... & Raes, F. (2017). A mindfulness-based intervention for adolescents and young adults after cancer treatment: Effects on quality of life, emotional distress, and cognitive vulnerability. //Journal of Adolescent and Young Adult Oncology, 6//(2), 307-317. https://doi.org/10.1089/jayao.2016.0070
Simpson, R., Mair, F.S., & Mercer, S.W. (2017). Mindfulness-based stress reduction for people with multiple sclerosis - A feasibility randomised controlled trial. //BMC Neurology, 17//, 94. https://doi.org/10.1186/s12883-017-0880-8
Eyles, C., Leydon, G.M., Hoffman, C.J., Copson, E.R., Prescott, P., Chorozoglou, M., ... & Lewith, G. (2015). Mindfulness for the self-management of fatigue, anxiety, and depression in women with metastatic breast cancer: A mixed methods feasibility study. //Integrative Cancer Therapies, 14//(1), 42-56. https://doi.org/10.1177/1534735414546567
Howie-Esquivel, J., Lee, J., Collier, G., Mehling, W., & Fleischmann, K. (2010). Yoga in heart failure patients: A pilot study. //Journal of Cardiac Failure, 16//(9), 742-749. https://doi.org/10.1016/j.cardfail.2010.04.011
Murray, G., Leitan, N.D., Berk, M., Thomas, N., Michalak, E., Berk, L., ... & Kyrios, M. (2015). Online mindfulness-based intervention for late-stage bipolar disorder: Pilot evidence for feasibility and effectiveness. //Journal of Affective Disorders, 178//, 46-51. https://doi.org/10.1016/j.jad.2015.02.024
Bueno, V.F., Kozasa, E.H., da Silva, M.A., Alves, T.M., Louza, M.R., & Pompeia, S. (2015). Mindfulness meditation improves mood, quality of life, and attention in adults with attention deficit hyperactivity disorder. //Biomed Research International//, 2015(15), 962857. http://dx.doi.org/10.1155/2015/962857
Spahn, G., Choi, K.E., Kennemann, C., Ludtke, R., Franken, U., Langhorst, J., ... & Dobos, G.J. (2013). Can a multimodal mind-body program enhance the treatment effects of physical activity in breast cancer survivors with chronic tumor-associated fatigue? A randomized controlled trial. //Integrative Cancer Therapies, 12//(4), 291-300. https://doi.org/10.1177/1534735413492727
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., ... & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. //JAMA: Journal of the American Medical Association, 302//(12), 1284-1293. https://doi.org/10.1001/jama.2009.1384
Grossman, P., Tiefenthaler-Gilmer, U., Raysz, A., & Kesper, U. (2007). Mindfulness training as an intervention for fibromyalgia: Evidence of postintervention and 3-year follow-up benefits in well-being. //Psychotherapy and Psychosomatics, 76//(4), 226-233. https://doi.org/10.1159/000101501
Korterink, J.J., Ockeloen, L.E., Hilbink, M., Benninga, M.A., & Deckers-Kocken, J.M. (2016). Yoga therapy for abdominal pain-related functional gastrointestinal disorders in children: A randomized controlled trial. //Journal of Pediatric Gastroenterology and Nutrition, 63//(5), 481-487. https://doi.org/10.1097/MPG.0000000000001230
Henning, M.A., Krageloh, C., Thompson, A., Sisley, R., Doherty, I., & Hawken, S.J. (2015). Religious affiliation, quality of life and academic performance: New Zealand medical students. //Journal of Religion & Health, 54//(1), 3-19. https://doi.org/10.1007/s10943-013-9769-z
Stafford, L., Thomas, N., Foley, E., Judd, F., Gibson, P., Komiti, A., ... & Kiropoulos, L. (2015). Comparison of the acceptability and benefits of two mindfulness-based interventions in women with breast or gynecologic cancer: A pilot study. //Supportive Care in Cancer, 23//(4), 1063-1071. https://doi.org/10.1007/s00520-014-2442-6
Medvedev, O.N., Siegert, R.J., Feng, X.J., Billington, D.R., Jang, J.Y., & Krageloh, C.U. (2016). Measuring trait mindfulness: How to improve the precision of the Mindful Attention Awareness Scale using a Rasch model. //Mindfulness, 7//(2), 384-395. https://doi.org/10.1007/s12671-015-0454-z
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2016). Rasch analysis of the Kentucky Inventory of Mindfulness Skills. //Mindfulness, 7//(2), 466-478. https://doi.org/10.1007/s12671-015-0475-7
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2017). Improving the precision of the Five Facet Mindfulness Questionnaire using a Rasch approach. //Mindfulness, 8//(4), 995-1008. https://doi.org/10.1007/s12671-016-0676-8
Sauer, S., Ziegler, M., Danay, E., Ives, J., & Kohls, N. (2013). Specific objectivity of mindfulness: A Rasch analysis of the Freiburg Mindfulness Inventory. //Mindfulness, 4//(1), 45-54. https://doi.org/10.1007/s12671-012-0145-y
Bormann, J.E., & Carrico, A.W. (2009). Increases in positive reappraisal coping during a group-based mantram intervention mediate sustained reductions in anger in HIV-positive persons. //International Journal of Behavioral Medicine, 16//(1), 74-80. https://doi.org/10.1007/s12529-008-9007-3
Boswell, J.F., Anderson, L.M., & Barlow, D.H. (2014). An idiographic analysis of change processes in the unified transdiagnostic treatment of depression. //Journal of Consulting and Clinical Psychology, 82//(6), 1060-1071. https://doi.org/10.1037/a0037403
Brockman, R., Ciarrochi, J., Parker, P., & Kashdan, T. (2017). Emotion regulation strategies in daily life: Mindfulness, cognitive reappraisal and emotion suppression. //Cognitive Behaviour Therapy, 46//(2), 91-113. https://doi.org/10.1080/16506073.2016.1218926
Freshman, C., & Guthrie, C. (2009). Managing the goal-setting paradox: How to get better results from high goals and be happy. //Negotiation Journal, 25//(2), 217-231. https://doi.org/10.1111/j.1571-9979.2009.00221.x
Garland, E., Gaylord, S., & Park, J. (2009). The role of mindfulness in positive reappraisal. //Explore: The Journal of Science and Healing, 5//(1), 37-44. https://doi.org/10.1016/j.explore.2008.10.001
Garland, E.L., Hanley, A., Farb, N.A., & Froeliger, B. (2015). State mindfulness during meditation predicts enhanced cognitive reappraisal. //Mindfulness, 6//(2), 234-242. https://doi.org/10.1007/s12671-013-0250-6
Garland, E.L., Kiken, L.G., Faurot, K., Palsson, O., & Gaylord, S.A. (2017). Upward spirals of mindfulness and reappraisal: Testing the mindfulness-to-meaning theory with autoregressive latent trajectory modeling. //Cognitive Therapy and Research, 41//(3), 381-392. https://doi.org/10.1007/s10608-016-9768-y
Garland, E.L., Thielking, P., Thomas, E.A., Coombs, M., White, S., Lombardi, J., ... & Beck, A. (2017). Linking dispositional mindfulness and positive psychological processes in cancer survivorship: A multivariate path analytic test of the mindfulness-to-meaning theory. //Psycho-Oncology, 26//(5), 686-692. https://doi.org/10.1002/pon.4065
Gerzina, H.A., & Porfeli, E.J. (2012). Mindfulness as a predictor of positive reappraisal and burnout in standardized patients. //Teaching and Learning in Medicine, 24//(4), 309-314. https://doi.org/10.1080/10401334.2012.715255
Goldin, P.R., Morrison, A.S., Jazaieri, H., Heimberg, R.G., & Gross, J.J. (2017). Trajectories of social anxiety, cognitive reappraisal, and mindfulness during an RCT of CBGT versus MBSR for social anxiety disorder. //Behaviour Research and Therapy, 97//, 1-13. https://doi.org/10.1016/j.brat.2017.06.001
Hanley, A.W., & Garland, E.L. (2014). Dispositional mindfulness co-varies with self-reported positive reappraisal. //Personality and Individual Differences, 66//, 146-152. https://doi.org/10.1016/j.paid.2014.03.014
Hanley, A.W., Palejwala, M.H., Hanley, R.T., Canto, A.I., & Garland, E.L. (2015). A failure in mind: Dispositional mindfulness and positive reappraisal as predictors of academic self-efficacy following failure. //Personality and Individual Differences, 86//, 332-337. https://doi.org/10.1016/j.paid.2015.06.033
Hayes-Skelton, S., & Graham, J. (2013). Decentering as a common link among mindfulness, cognitive reappraisal, and social anxiety. //Behavioural and Cognitive Psychotherapy, 41//(3), 317-328. https://doi.org/10.1017/S1352465812000902
Keng, S.L., Robins, C.J., Smoski, M.J., Dagenbach, J., & Leary, M.R. (2013). Reappraisal and mindfulness: A comparison of subjective effects and cognitive costs. //Behaviour Research and Therapy, 51//(12), 899-904. https://doi.org/10.1016/j.brat.2013.10.006
Keng, S.L., Smoski, M.J., & Robins, C.J. (2016). Effects of mindful acceptance and reappraisal training on maladaptive beliefs about rumination. //Mindfulness, 7//(2), 493-503. https://doi.org/10.1007/s12671-015-0480-x
Keng, S.L., Tan, E.L.Y., Eisenlohr-Moul, T.A., & Smoski, M.J. (2017). Effects of mindfulness, reappraisal, and suppression on sad mood and cognitive resources. //Behaviour Research and Therapy, 91//, 33-42. https://doi.org/10.1016/j.brat.2017.01.006
Kivity, Y., Tamir, M., & Huppert, J.D. (2016). Self-acceptance of negative emotions: The positive relationship with effective cognitive reappraisal. //International Journal of Cognitive Therapy, 9//(4), 279-294. https://doi.org/10.1521/ijct_2016_09_10
Kocovski, N.L., Fleming, J.E., Hawley, L.L., Ho, M.H.R., & Antony, M.M. (2015). Mindfulness and acceptance-based group therapy and traditional cognitive behavioral group therapy for social anxiety disorder: Mechanisms of change. //Behaviour Research and Therapy, 70//, 11-22. https://doi.org/10.1016/j.brat.2015.04.005
Lalot, F., Delplanque, S., & Sander, D. (2014). Mindful regulation of positive emotions: A comparison with reappraisal and expressive suppression. //Frontiers in Psychology, 5//. https://doi.org/10.3389/fpsyg.2014.00243
Lei, H., Zhang, X.C., Cai, L., Wang, Y.P., Bai, M., & Zhu, X.Z. (2014). Cognitive emotion regulation strategies in outpatients with major depressive disorder. //Psychiatry Research, 218//(42737), 87-92. https://doi.org/10.1016/j.psychres.2014.04.025
Modinos, G., Ormel, J., & Aleman, A. (2010). Individual differences in dispositional mindfulness and brain activity involved in reappraisal of emotion. //Social Cognitive and Affective Neuroscience, 5//(4), 369-377. https://doi.org/10.1093/scan/nsq006
Opialla, S., Lutz, J., Scherpiet, S., Hittmeyer, A., Jancke, L., Rufer, M., ... & Bruhl, A.B. (2015). Neural circuits of emotion regulation: A comparison of mindfulness-based and cognitive reappraisal strategies. //European Archives of Psychiatry and Clinical Neuroscience, 265//(1), 45-55. https://doi.org/10.1007/s00406-014-0510-z
Shao, D., Gao, W., & Cao, F.L. (2016). Brief psychological intervention in patients with cervical cancer: A randomized controlled trial. //Health Psychology, 35//(12), 1383-1391. https://doi.org/10.1037/hea0000407
Smoski, M.J., Keng, S.L., Ji, J.L., Moore, T., Minkel, J., & Dichter, G.S. (2015). Neural indicators of emotion regulation via acceptance vs reappraisal in remitted major depressive disorder. //Social Cognitive and Affective Neuroscience, 10//(9), 1187-1194. https://doi.org/10.1093/scan/nsv003
Bonamo, K.K., Legerski, J.P., & Thomas, K.B. (2015). The influence of a brief mindfulness exercise on encoding of novel words in female college students. //Mindfulness, 6//(3), 535-544. https://doi.org/10.1007/s12671-014-0285-3
Flett, M.R. (2014). Exploring the accuracy and simplicity of idiographic feeling-performance models. //Journal of Applied Sport Psychology, 26//(4), 409-425. https://doi.org/10.1080/10413200.2014.911220
Fointiat, V., Morisot, V., & Pakuszewski, M. (2008). Effects of past transgressions in an induced hypocrisy paradigm. //Psychological Reports, 103//(2), 625-633. https://doi.org/10.2466/PR0.103.2.625-633
Gadeikis, D., Bos, N., Schweizer, S., Murphy, F., & Dunn, B. (2017). Engaging in an experiential processing mode increases positive emotional response during recall of pleasant autobiographical memories. //Behaviour Research and Therapy, 92//, 68-76. https://doi.org/10.1016/j.brat.2017.02.005
Kuyken, W., & Moulds, M.L. (2009). Remembering as an observer: How is autobiographical memory retrieval vantage perspective linked to depression?. //Memory, 17//(6), 624-634. https://doi.org/10.1080/09658210902984526
Lloyd, M., Szani, A., Rubenstein, K., Colgary, C., & Pereira-Pasarin, L. (2016). A brief mindfulness exercise before retrieval reduces recognition memory false alarms. //Mindfulness, 7//(3), 606-613. https://doi.org/10.1007/s12671-016-0495-y
Roberts-Wolfe, D., Sacchet, M., Hastings, E., Roth, H., & Britton, W. (2012). Mindfulness training alters emotional memory recall compared to active controls: Support for an emotional information processing model of mindfulness. //Frontiers in Human Neuroscience, 6//, 15. https://doi.org/10.3389/fnhum.2012.00015
Saunders, J., Barawi, K., & McHugh, L. (2013). Mindfulness increases recall of self-threatening information. //Consciousness and Cognition, 22//(4), 1375-1383. https://doi.org/10.1016/j.concog.2013.09.001
Schredl, M., Stumbrys, T., & Erlacher, D. (2016). Dream recall, nightmare frequency, and spirituality. //Dreaming, 26//(1), 1-9. https://doi.org/10.1037/drm0000015
van Vugt, M.K., Hitchcock, P., Shahar, B., & Britton, W. (2012). The effects of mindfulness-based cognitive therapy on affective memory recall dynamics in depression: A mechanistic model of rumination. //Frontiers in Human Neuroscience, 6//, 257. https://doi.org/10.3389/fnhum.2012.00257
Bjornsdottir, S.V., Arnljotsdottir, M., Tomasson, G., Triebel, J., & Valdimarsdottir, U.A. (2016). Health-related quality of life improvements among women with chronic pain: Comparison of two multidisciplinary interventions. //Disability and Rehabilitation, 38//(9), 828-836. https://doi.org/10.3109/09638288.2015.1061609
Hojskov, I.E., Moons, P., Hansen, N.V., La Cour, S., Olsen, P.S., Gluud, C., ... & Berg, S.K. (2017). SheppHeartCABG trial-comprehensive early rehabilitation after coronary artery bypass grafting: A protocol for a randomised clinical trial. //BMJ Open, 7//(1), e013038. https://doi.org/10.1136/bmjopen-2016-013038
Jedel, S., Merriman, P., Hoffman, A., Swanson, B., Fogg, L.F., & Keshavarzian, A. (2013). Relationship of mindfulness, quality of life, and psychiatric symptoms among patients with ulcerative colitis. //Mindfulness, 4//(4), 296-300. https://doi.org/10.1007/s12671-012-0128-z
Lucas, A.R., Focht, B.C., Cohn, D.E., Buckworth, J., & Klatt, M.D. (2017). A mindfulness-based lifestyle intervention for obese, inactive endometrial cancer survivors: A feasibility study. //Integrative Cancer Therapies, 16//(3), 263-275. https://doi.org/10.1177/1534735416668257
McCracken, L.M., & Yang, S.Y. (2008). A contextual cognitive-behavioral analysis of rehabilitation workers' health and well-being: Influences of acceptance, mindfulness, and values-based action. //Rehabilitation Psychology, 53//(4), 479-485. https://doi.org/10.1037/a0012854
Neilson, K., Ftanou, M., Monshat, K., Salzberg, M., Bell, S., Kamm, M.A., ... & Castle, D. (2016). A controlled study of a group mindfulness intervention for individuals living with inflammatory bowel disease. //Inflammatory Bowel Diseases, 22//(3), 694-701. https://doi.org/10.1097/MIB.0000000000000629
Nyklicek, I., Dijksman, S.C., Lenders, P.J., Fonteijn, W.A., & Koolen, J.J. (2014). A brief mindfulness based intervention for increase in emotional well-being and quality of life in percutaneous coronary intervention (PCI) patients: The mindfulheart randomized controlled trial. //Journal of Behavioral Medicine, 37//(1), 135-144. https://doi.org/10.1007/s10865-012-9475-4
Schoultz, M., Atherton, I., & Watson, A. (2015). Mindfulness-based cognitive therapy for inflammatory bowel disease patients: Findings from an exploratory pilot randomised controlled trial. //Trials, 16//, 379. https://doi.org/10.1186/s13063-015-0909-5
Schoultz, M., Atherton, I.M., Hubbard, G., & Watson, A.J.M. (2013). The use of mindfulness-based cognitive therapy for improving quality of life for inflammatory bowel disease patients: Study protocol for a pilot randomised controlled trial with embedded process evaluation. //Trials, 14//, 431. https://doi.org/10.1186/1745-6215-14-431
Sonntag-Ostrom, E., Nordin, M., Dolling, A., Lundell, Y., Nilsson, L., & Jarvholm, L.S. (2015). Can rehabilitation in boreal forests help recovery from exhaustion disorder? The randomised clinical trial ForRest. //Scandinavian Journal of Forest Research, 30//(8), 732-748. https://doi.org/10.1080/02827581.2015.1046482
Sonntag-Ostrom, E., Nordin, M., Jarvholm, L.S., Lundell, Y., Brannstrom, R., & Dolling, A. (2011). Can the boreal forest be used for rehabilitation and recovery from stress-related exhaustion? A pilot study. //Scandinavian Journal of Forest Research, 26//(3), 245-256. https://doi.org/10.1080/02827581.2011.558521
Spatola, C.A.M., Manzoni, G.M., Castelnuovo, G., Malfatto, G., Facchini, M., Goodwin, C.L., ... & Molinari, E. (2014). The ACTonHEART study: rationale and design of a randomized controlled clinical trial comparing a brief intervention based on Acceptance and Commitment Therapy to usual secondary prevention care of coronary heart disease. //Health and Quality of Life Outcomes, 12//, 22. https://doi.org/10.1186/1477-7525-12-22
Thomas, M.A., Sadlier, M.J., & Smith, A.P. (2008). A multiconvergent approach to the rehabilitation of patients with chronic fatigue syndrome: A comparative study. //Physiotherapy, 94//(1), 35-42. https://doi.org/10.1016/j.physio.2007.04.013
Vos-Vromans, D.C.W.M., Smeets, R.J.E.M., Rijnders, L.J.M., Gorrissen, R.R.M., Pont, M., Koke, A.J.A., ... & Knottnerus, A.J. (2012). Cognitive behavioural therapy versus multidisciplinary rehabilitation treatment for patients with chronic fatigue syndrome: study protocol for a randomised controlled trial (FatiGo). //Trials, 13//, 137. https://doi.org/10.1186/1745-6215-13-71
Allen, R.S., Harris, G.M., Crowther, M.R., Oliver, J.S., Cavanaugh, R., & Phillips, L.L. (2013). Does religiousness and spirituality moderate the relations between physical and mental health among aging prisoners?. //International Journal of Geriatric Psychiatry, 28//(7), 710-717. https://doi.org/10.1002/gps.3874
Bartkowski, J.P., Acevedo, G.A., & Van Loggerenberg, H. (2017). Prayer, meditation, and anxiety: Durkheim revisited. //Religions, 8//(9). https://doi.org/10.3390/rel8090191
Bowen, S., Bergman, A.L., & Witkiewitz, K. (2015). Engagement in Buddhist Meditation Practices Among Non-Buddhists: Associations with Religious Identity and Practice. //Mindfulness, 6//(6) ,1456–1461. https://doi.org/10.1007/s12671-015-0420-9
de Castro, J.M. (2015). Meditation has stronger relationships with mindfulness, Kundalini, and mystical experiences than yoga or prayer. //Consciousness and Cognition, 35//, 115-127. https://doi.org/10.1016/j.concog.2015.04.022
Ford, K., & Garzon, F. (2017). Research note: A randomized investigation of evangelical christian accommodative mindfulness. //Spirituality in Clinical Practice, 4//(2), 92-99. https://doi.org/10.1037/scp0000137
Fox, J., Gutierrez, D., Haas, J., & Durnford, S. (2016). Centering prayer's effects on psycho-spiritual outcomes: A pilot outcome study. //Mental Health Religion & Culture, 19//(4), 379-392. https://doi.org/10.1080/13674676.2016.1203299
Frederick, T., & White, K.M. (2015). Mindfulness, christian devotion meditation, surrender, and worry. //Mental Health Religion & Culture, 18//(10), 850-858. https://doi.org/10.1080/13674676.2015.1107892
George, K.M. (2008). Ethical pleasure, visual //dzikir//, and artistic subjectivity in contemporary Indonesia. //Material Religion, 4//(2), 172-192. https://doi.org/10.2752/175183408X328299
Ghorbani, N., & Watson, P.J. (2009). Mysticism and self-determination in Iran: Multidimensional complexity of relationships with basic need satisfaction and mindfulness. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 31//(1), 75-90. https://doi.org/10.1163/157361209X371500
Ghorbani, N., Watson, P.J., Madani, M., & Chen, Z.J. (2016). Muslim experiential religiousness: Spirituality relationships with psychological and religious adjustment in Iran. //Journal of Spirituality in Mental Health, 18//(4), 300-315. https://doi.org/10.1080/19349637.2016.1162676
Ghorbani, N., Watson, P.J., Tahbaz, S., & Chen, Z.J. (2017). Religious and psychological implications of positive and negative religious coping in Iran. //Journal of Religion & Health, 56//(2), 477-492. https://doi.org/10.1007/s10943-016-0228-5
Greeson, J.M., Smoski, M.J., Suarez, E.C., Brantley, J.G., Ekblad, A.G., Lynch, T.R., ... & Wolever, R.Q. (2015). Decreased symptoms of depression after mindfulness-based stress reduction: Potential moderating effects of religiosity, spirituality, trait mindfulness, sex, and age. //Journal of Alternative and Complementary Medicine, 21//(3), 166-174. https://doi.org/10.1089/acm.2014.0285
Hathaway, W., & Tan, E. (2009). Religiously oriented mindfulness-based cognitive therapy. //Journal of Clinical Psychology, 65//(2), 158-171. https://doi.org/10.1002/jclp.20569
Ijaz, S., Khalily, M.T., & Ahmad, I. (2017). Mindfulness in Salah Prayer and its Association with Mental Health. //Journal of Religion & Health, 56//(6), 2297-2307. https://doi.org/10.1007/s10943-017-0413-1
Jankowski, P.J., & Sandage, S.J. (2014). Meditative prayer and intercultural competence: Empirical test of a differentiation-based model. //Mindfulness, 5//(4), 360-372. https://doi.org/10.1007/s12671-012-0189-z
Kato, H. (2016). The relationship between the psychology of religion and Buddhist psychology. //Japanese Psychological Research, 58//, 70-84. https://doi.org/10.1111/jpr.12121
Knabb, J.J. (2012). Centering prayer as an alternative to mindfulness-based cognitive therapy for depression relapse prevention. //Journal of Religion & Health, 51//(3), 908-924. https://doi.org/10.1007/s10943-010-9404-1
Lauche, R., Fathi, I., Saddat, C., Klose, P., Al-Abtah, J., Bussing, A., ... & Cramer, H. (2016). The effects of Ramadan fasting on physical and mental health in healthy adult Muslims—Study protocol for a randomised controlled trial. //Advances in Integrative Medicine, 3//(1), 26-30. https://doi.org/10.1016/j.aimed.2016.07.001
Monroe, N., & Jankowski, P.J. (2016). The effectiveness of a prayer intervention in promoting change in perceived attachment to god, positive affect, and psychological distress. //Spirituality in Clinical Practice, 3//(4), 237-249. https://doi.org/10.1037/scp0000117
Parsons, S. (2016). The strange work of dying. //Studies in Christian Ethics, 29//(3), 308-314. https://doi.org/10.1177/0953946816642983
Parsons, S.F. (2012). The practice of Christian ethics: Mindfulness and faith. //Studies in Christian Ethics, 25//(4), 442-453. https://doi.org/10.1177/0953946812454790
Plante, T.G. (2016). Beyond mindfulness expanding integration of spirituality and religion into psychotherapy. //Open Theology, 2//(1), 135-144. https://doi.org/10.1515/opth-2016-0011
Rubinart, M., Moynihan, T., & Deus, J. (2016). Using the collaborative inquiry method to explore the Jesus prayer. //Spirituality in Clinical Practice, 3//(2), 139-151. https://doi.org/10.1037/scp0000104
Shapiro, D.H. (1994). Examining the content and context of meditation - a challenge for psychology in the areas of stress management, psychotherapy, and religion values. //Journal of Humanistic Psychology, 34//(4), 101-135. https://doi.org/10.1177/00221678940344008
Stevens, B.A. (2016). Mindfulness: A positive spirituality for ageing?. //Australasian Journal on Ageing, 35//(3), 156-158. https://doi.org/10.1111/ajag.12346
Stoeber, M. (2015). Exploring processes and dynamics of mystical contemplative meditation: Some Christian-Buddhist parallels in relation to transpersonal Theory. //European Journal for Philosophy of Religion, 7//(2), 35-57. https://doi.org/10.24204/ejpr.v7i2.119
Wayment, H.A., Wiist, B., Sullivan, B.M., & Warren, M.A. (2011). Doing and being: Mindfulness, health, and quiet ego characteristics among Buddhist practitioners. //Journal of Happiness Studies, 12//(4), 575-589. https://doi.org/10.1007/s10902-010-9218-6
[[Biofeedback]]<br>
[[Blood flow]]<br>
[[Brain structure]]<br>
[[Cortisol]]<br>
[[Cross-cultural]]<br>
[[Electroencephalogram (EEG)]]<br>
[[Event-related potential (ERP)]]<br>
[[Five Facet Mindfulness Questionnaire (FFMQ)]]<br>
[[Genetics]]<br>
[[Kentucky Inventory of Mindfulness Skills (KIMS)]]<br>
[[Magnetoencephalography (MEG)]]<br>
[[Mindful Attention Awareness Scale (MAAS)]]<br>
[[Narrative]]<br>
[[Picture]]<br>
[[Priming]]<br>
[[Profile of Mood States (POMS)]]<br>
[[Rasch analysis]]<br>
[[Spanish questionnaires]]<br>
[[Story]]<br>
[[Telomere]]<br>
[[Text messages]]<br>
[[Treatment as usual]]<br>
Braboszcz, C., Cahn, B.R., Balakrishnan, B., Maturi, R.K., Grandchamp, R., & Delorme, A. (2013). Plasticity of visual attention in Isha yoga meditation practitioners before and after a 3-month retreat. //Frontiers in Psychology, 4//, 914. https://doi.org/10.3389/fpsyg.2013.00914
Cahn, B.R., Goodman, M.S., Peterson, C.T., Maturi, R., & Mills, P.J. (2017). Yoga, meditation and mind-body health: Increased BDNF, cortisol awakening response, and altered inflammatory marker expression after a 3-month yoga and meditation retreat. //Frontiers in Human Neuroscience, 11//, 315. https://doi.org/10.3389/fnhum.2017.00315
Cohen, J., Jensen, D., Stange, J., Neuburger, M., & Heimberg, R.G. (2017). The immediate and long-term effects of an intensive meditation retreat. //Mindfulness, 8//(4), 1064-1077. https://doi.org/10.1007/s12671-017-0682-5
Falkenstrom, F. (2010). Studying mindfulness in experienced meditators: A quasi-experimental approach. //Personality and Individual Differences, 48//(3), 305-310. https://doi.org/10.1016/j.paid.2009.10.022
Jacobs, T.L., Epel, E.S., Lin, J., Blackburn, E.H., Wolkowitz, O.M., Bridwell, D.A., ... & Saron, C.D. (2011). Intensive meditation training, immune cell telomerase activity, and psychological mediators. //Psychoneuroendocrinology, 36//(5), 664-681. https://doi.org/10.1016/j.psyneuen.2010.09.010
Jacobs, T.L., Shaver, P.R., Epel, E.S., Zanesco, A.P., Aichele, S.R., Bridwell, D.A., ... & Saron, C.D. (2013). Self-reported mindfulness and cortisol during a Shamatha meditation retreat. //Health Psychology, 32//(10), 1104-1109. https://doi.org/10.1037/a0031362
Jha, A.P., Krompinger, J., & Baime, M.J. (2007). Mindfulness training modifies subsystems of attention. //Cognitive Affective & Behavioral Neuroscience, 7//(2), 109-119. https://doi.org/10.3758/CABN.7.2.109
Kozasa, E.H., Lacerda, S.S., Menezes, C., Wallace, B.A., Radvany, J., Mello, L.E.A.M., ... & Sato, J.R. (2015). Effects of a 9-day Shamatha Buddhist meditation retreat on attention, mindfulness and self-compassion in participants with a broad range of meditation experience. //Mindfulness, 6//(6), 1235-1241. https://doi.org/10.1007/s12671-015-0385-8
Montero-Marin, J., Puebla-Guedea, M., Herrera-Mercadal, P., Cebolla, A., Soler, J., Demarzo, M., ... & Garcia-Campayo, J. (2016). Psychological effects of a 1-month meditation retreat on experienced meditators: The role of non-attachment. //Frontiers in Psychology, 7//, 1935. https://doi.org/10.3389/fpsyg.2016.01935
Pidgeon, A.M., Ford, L., & Klaassen, F. (2014). Evaluating the effectiveness of enhancing resilience in human service professionals using a retreat-based mindfulness with metta training program: A randomised control trial. //Psychology Health & Medicine, 19//(3), 355-364. https://doi.org/10.1080/13548506.2013.806815
Razzaque, R., & Wood, L. (2016). Exploration of the effectiveness and acceptability of a professional mindfulness retreat for psychiatrists. //Mindfulness, 7//(2), 340-348. https://doi.org/10.1007/s12671-015-0443-2
Saggar, M., King, B.G., Zanesco, A.P., MacLean, K.A., Aichele, S.R., Jacobs, T.L., ... & Saron, C.D. (2012). Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity. //Frontiers in Human Neuroscience, 6//, 256. https://doi.org/10.3389/fnhum.2012.00256
Saggar, M., Zanesco, A.P., King, B.G., Bridwell, D.A., MacLean, K.A., Aichele, S.R., ... & Miikkulainen, R. (2015). Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. //Neuroimage, 114//, 88-104. https://doi.org/10.1016/j.neuroimage.2015.03.073
Sandra, B.K., MacLean, K.A., Ferrer, E., Shaver, P.R., Rosenberg, E.L., Jacobs, T.L., ... & Saron, C.D. (2011). Enhanced response inhibition during intensive meditation training predicts improvements in self-reported adaptive socioemotional functioning. //Emotion, 11//(2), 299-312. https://doi.org/10.1037/a0022764
Wasylkiw, L., Holton, J., Azar, R., & Cook, W. (2015). The impact of mindfulness on leadership effectiveness in a health care setting: A pilot study. //Journal of Health Organization and Management, 29//(7), 893-911. https://doi.org/10.1108/JHOM-06-2014-0099
Garland, E.L. (2016). Restructuring reward processing with mindfulness-oriented recovery enhancement: Novel therapeutic mechanisms to remediate hedonic dysregulation in addiction, stress, and pain. //Annals of the New York Academy of Sciences, 1373//, 25-37. https://doi.org/10.1111/nyas.13034
Garland, E.L., Froeliger, B., & Howard, M.O. (2014). Effects of mindfulness-oriented recovery enhancement on reward responsiveness and opioid cue-reactivity. //Psychopharmacology, 231//(16), 3229-3238. https://doi.org/10.1007/s00213-014-3504-7
Garland, E.L., Froeliger, B., & Howard, M.O. (2015). Neurophysiological evidence for remediation of reward processing deficits in chronic pain and opioid misuse following treatment with Mindfulness-Oriented Recovery Enhancement: Exploratory ERP findings from a pilot RCT. //Journal of Behavioral Medicine, 38//(2), 327-336. https://doi.org/10.1007/s10865-014-9607-0
Kirk, U., & Montague, P.R. (2015). Mindfulness meditation modulates reward prediction errors in a passive conditioning task. //Frontiers in Psychology, 6//, 90. https://doi.org/10.3389/fpsyg.2015.00090
Kirk, U., Brown, K.W., & Downar, J. (2015). Adaptive neural reward processing during anticipation and receipt of monetary rewards in mindfulness meditators. //Social Cognitive and Affective Neuroscience, 10//(5), 752-759. https://doi.org/10.1093/scan/nsu112
Kirk, U., Gu, X., Harvey, A.H., Fonagyd, P., & Montague, P.R. (2014). Mindfulness training modulates value signals in ventromedial prefrontal cortex through input from insular cortex. //Neuroimage, 100//, 254-262. https://doi.org/10.1016/j.neuroimage.2014.06.035
Lyvers, M., Hinton, R., Gotsis, S., Roddy, M., Edwards, M.S., & Thorberg, F.A. (2014). Traits linked to executive and reward systems functioning in clients undergoing residential treatment for substance dependence. //Personality and Individual Differences, 70//, 194-199. https://doi.org/10.1016/j.paid.2014.07.004
Mason, L., O'Sullivan, N., Blackburn, M., Bentall, R., & El-Deredy, W. (2012). I want it now! Neural correlates of hypersensitivity to immediate reward in hypomania. //Biological Psychiatry, 71//(6), 530-537. https://doi.org/10.1016/j.biopsych.2011.10.008
Rice, F., Rawal, A., Riglin, L., Lewis, G., Lewis, G., & Dunsmuir, S. (2015). Examining reward-seeking, negative self-beliefs and over-general autobiographical memory as mechanisms of change in classroom prevention programs for adolescent depression. //Journal of Affective Disorders, 186//, 320-327. https://doi.org/10.1016/j.jad.2015.07.019
Teper, R., & Inzlicht, M. (2014). Mindful acceptance dampens neuroaffective reactions to external and rewarding performance feedback. //Emotion, 14//(1), 105-114. https://doi.org/10.1037/a0034296
Janz, P., Pepping, C.A., & Halford, W.K. (2015). Individual differences in dispositional mindfulness and initial romantic attraction: A speed dating experiment. //Personality and Individual Differences, 82//, 14-19. https://doi.org/10.1016/j.paid.2015.02.025
Alleva, J., Roelofs, J., Voncken, M., Meevissen, Y., & Alberts, H. (2014). On the relation between mindfulness and depressive symptoms: Rumination as a possible mediator. //Mindfulness, 5//(1), 72-79. https://doi.org/10.1007/s12671-012-0153-y
Basharpoor, S., Shafiei, M., & Daneshvar, S. (2015). The comparison of experimental avoidance, mindfulness and rumination in trauma-exposed individuals with and without posttraumatic stress disorder (PTSD) in an Iranian sample. //Archives of Psychiatric Nursing, 29//(5), 279-283. https://doi.org/10.1016/j.apnu.2015.05.004
Borders, A., & Lu, S.E. (2017). The bidirectional associations between state anger and rumination and the role of trait mindfulness. //Aggressive Behavior, 43//(4), 342-351. https://doi.org/10.1002/ab.21693
Borders, A., Earleywine, M., & Jajodia, A. (2010). Could mindfulness decrease anger, hostility, and aggression by decreasing rumination?. //Aggressive Behavior, 36//(1), 28-44. https://doi.org/10.1002/ab.20327
Broderick, P. (2005). Mindfulness and coping with dysphoric mood: Contrasts with rumination and distraction. //Cognitive Therapy and Research, 29//(5), 501-510. https://doi.org/10.1007/s10608-005-3888-0
Campbell, T.S., Labelle, L.E., Bacon, S.L., Faris, P., & Carlson, L.E. (2012). Impact of mindfulness-based stress reduction (MBSR) on attention, rumination and resting blood pressure in women with cancer: A waitlist-controlled study. //Journal of Behavioral Medicine, 35//(3), 262-271. https://doi.org/10.1007/s10865-011-9357-1
Chesin, M.S., Benjamin-Phillips, C.A., Keilp, J., Fertuck, E.A., Brodsky, B.S., & Stanley, B. (2016). Improvements in executive attention, rumination, cognitive reactivity, and mindfulness among high-suicide risk patients participating in adjunct mindfulness-based cognitive therapy: Preliminary findings. //Journal of Alternative and Complementary Medicine, 22//(8), 642-649. https://doi.org/10.1089/acm.2015.0351
Ciesla, J.A., Reilly, L.C., Dickson, K.S., Emanuel, A.S., & Updegraff, J.A. (2012). Dispositional mindfulness moderates the effects of stress among adolescents: Rumination as a mediator. //Journal of Clinical Child and Adolescent Psychology, 41//(6), 760-770. https://doi.org/10.1080/15374416.2012.698724
Cowdrey, F.A., & Park, R.J. (2012). The role of experiential avoidance, rumination and mindfulness in eating disorders. //Eating Behaviors, 13//(2), 100-105. https://doi.org/10.1016/j.eatbeh.2012.01.001
Cowdrey, F.A., Stewart, A., Roberts, J., & Park, R.J. (2013). Rumination and modes of processing around meal times in women with anorexia nervosa: Qualitative and quantitative results from a pilot study. //European Eating Disorders Review, 21//(5), 411-419. https://doi.org/10.1002/erv.2236
Desrosiers, A., Vine, V., Curtiss, J., & Klemanski, D.H. (2014). Observing nonreactively: A conditional process model linking mindfulness facets, cognitive emotion regulation strategies, and depression and anxiety symptoms. //Journal of Affective Disorders, 165//, 31-37. https://doi.org/10.1016/j.jad.2014.04.024
Desrosiers, A., Vine, V., Klemanski, D.H., & Nolen-Hoeksema, S. (2013). Mindfulness and emotion regulation in depression and anxiety: Common and distinct mechanisms of action. //Depression and Anxiety, 30//(7), 654-661. https://doi.org/10.1002/da.22124
Deyo, M., Wilson, K.A., Ong, J., & Koopman, C. (2009). Mindfulness and rumination: Does mindfulness training lead to reductions in the ruminative thinking associated with depression?. //Explore: The Journal of Science and Healing, 5//(5), 265-271. https://doi.org/10.1016/j.explore.2009.06.005
Flett, A.L., Haghbin, M., & Pychyl, T.A. (2016). Procrastination and depression from a cognitive perspective: An exploration of the associations among procrastinatory automatic thoughts, rumination, and mindfulness. //Journal of Rational-emotive and Cognitive-behavior Therapy, 34//(3), 169-186. https://doi.org/10.1007/s10942-016-0235-1
Gilbert, K., & Gruber, J. (2014). Emotion regulation of goals in bipolar disorder and major depression: A comparison of rumination and mindfulness. //Cognitive Therapy and Research, 38//(4), 375-388. https://doi.org/10.1007/s10608-014-9602-3
Greenberg, J., Reiner, K., & Meiran, N. (2013). Off with the old: Mindfulness practice improves backward inhibition. //Frontiers in Psychology, 3//, 618. https://doi.org/10.3389/fpsyg.2012.00618
Hilt, L.M., & Pollak, S.D. (2012). Getting out of rumination: Comparison of three brief interventions in a sample of youth. //Journal of Abnormal Child Psychology, 40//(7), 1157-1165. https://doi.org/10.1007/s10802-012-9638-3
Huffziger, S., & Kuehner, C. (2009). Rumination, distraction, and mindful self-focus in depressed patients. //Behaviour Research and Therapy, 47//(3), 224-230. https://doi.org/10.1016/j.brat.2008.12.005
Huffziger, S., Ebner-Priemer, U., Eisenbach, C., Koudela, S., Reinhard, I., Zamoscik, V., ... & Kuehner, C. (2013). Induced ruminative and mindful attention in everyday life: An experimental ambulatory assessment study. //Journal of Behavior Therapy and Experimental Psychiatry, 44//(3), 322-328. https://doi.org/10.1016/j.jbtep.2013.01.007
Ietsugu, T., Crane, C., Hackmann, A., Brennan, K., Gross, M., Crane, R.S., ... & Barnhofer, T. (2015). Gradually getting better: Trajectories of change in rumination and anxious worry in mindfulness-based cognitive therapy for prevention of relapse to recurrent depression. //Mindfulness, 6//(5), 1088-1094. https://doi.org/10.1007/s12671-014-0358-3
Jain, S., Shapiro, S.L., Swanick, S., Roesch, S.C., Mills, P.J., Bell, I., ... & Schwartz, G.E.R. (2007). A randomized controlled trial of mindfulness meditation versus relaxation training: Effects on distress, positive states of mind, rumination, and distraction. //Annals of Behavioral Medicine, 33//(1), 11-21. https://doi.org/10.1207/s15324796abm3301_2
Jonkman, L.M., Markus, C.R., Franklin, M.S., & van Dalfsen, J.H. (2017). Mind wandering during attention performance: Effects of ADHD-inattention symptomatology, negative mood, ruminative response style and working memory capacity. //PLOS ONE, 12//(7), e0181213. https://doi.org/10.1371/journal.pone.0181213
Josefsson, T., Ivarsson, A., Lindwall, M., Gustafsson, H., Stenling, A., Boroy, J., ... & Falkevik, E. (2017). Mindfulness mechanisms in sports: Mediating effects of rumination and emotion regulation on sport-specific coping. //Mindfulness, 8//(5), 1354-1363. https://doi.org/10.1007/s12671-017-0711-4
Kaiseler, M., Poolton, J.M., Backhouse, S.H., & Stanger, N. (2017). The relationship between mindfulness and life stress in student-athletes: The mediating role of coping effectiveness and decision rumination. //Sport Psychologist, 31//(3), 288-298. https://doi.org/10.1123/tsp.2016-0083
Kaiser, R.H., Andrews-Hanna, J.R., Metcalf, C.A., & Dimidjian, S. (2015). Dwell or decenter? Rumination and decentering predict working memory updating after interpersonal criticism. //Cognitive Therapy and Research, 39//(6), 744-753. https://doi.org/10.1007/s10608-015-9697-1
Kearns, N.P., Shawyer, F., Brooker, J.E., Graham, A.L., Enticott, J.C., Martin, P.R., ... & Meadows, G.N. (2016). Does rumination mediate the relationship between mindfulness and depressive relapse?. //Psychology and Psychotherapy: Theory, Research and Practice, 89//(1), 33-49. https://doi.org/10.1111/papt.12064
Keng, S.L., Smoski, M.J., & Robins, C.J. (2016). Effects of mindful acceptance and reappraisal training on maladaptive beliefs about rumination. //Mindfulness, 7//(2), 493-503. https://doi.org/10.1007/s12671-015-0480-x
Keune, P.M., Bostanov, V., Kotchoubey, B., & Hautzinger, M. (2012). Mindfulness versus rumination and behavioral inhibition: A perspective from research on frontal brain asymmetry. //Personality and Individual Differences, 53//(3), 323-328. https://doi.org/10.1016/j.paid.2012.03.034
Kingston, T., Dooley, B., Bates, A., Lawlor, E., & Malone, K. (2007). Mindfulness-based cognitive therapy for residual depressive symptoms. //Psychology and Psychotherapy: Theory, Research and Practice, 80//, 193-203. https://doi.org/10.1348/147608306X116016
Krieger, T., Altenstein, D., Baettig, I., Doerig, N., & Holtforth, M.G. (2013). Self-compassion in depression: Associations with depressive symptoms, rumination, and avoidance in depressed outpatients. //Behavior Therapy, 44//(3), 501-513.
Kuehner, C., Huffziger, S., & Liebsch, K. (2009). Rumination, distraction and mindful self-focus: Effects on mood, dysfunctional attitudes and cortisol stress response. //Psychological Medicine, 39//(2), 219-228. https://doi.org/10.1017/S0033291708003553
Lackner, R.J., & Fresco, D.M. (2016). Interaction effect of brooding rumination and interoceptive awareness on depression and anxiety symptoms. //Behaviour Research and Therapy, 85//, 43-52. https://doi.org/10.1016/j.brat.2016.08.007
Lamis, D.A., & Dvorak, R.D. (2014). Mindfulness, nonattachment, and suicide rumination in college students: The mediating role of depressive symptoms. //Mindfulness, 5//(5), 487-496. https://doi.org/10.1007/s12671-013-0203-0
Liverant, G.I., Kamholz, B.W., Sloan, D.M., & Brown, T.A. (2011). Rumination in clinical depression: A type of emotional suppression?. //Cognitive Therapy and Research, 35//(3), 253-265. https://doi.org/10.1007/s10608-010-9304-4
Manicavasagar, V., Perich, T., & Parker, G. (2012). Cognitive predictors of change in cognitive behaviour therapy and mindfulness-based cognitive therapy for depression. //Behavioural and Cognitive Psychotherapy, 40//(2), 227-232. https://doi.org/10.1017/S1352465811000634
Marks, A.D.G., Sobanski, D.J., & Hine, D.W. (2010). Do dispositional rumination and/or mindfulness moderate the relationship between life hassles and psychological dysfunction in adolescents?. //Australian and New Zealand Journal of Psychiatry, 44//(9), 831-838. https://doi.org/10.3109/00048674.2010.487478
McKie, A., Askew, K., & Dudley, R. (2017). An experimental investigation into the role of ruminative and mindful self-focus in non-clinical paranoia. //Journal of Behavior Therapy and Experimental Psychiatry, 54//, 170-177. https://doi.org/10.1016/j.jbtep.2016.07.014
Michalak, J., Holz, A., & Teismann, T. (2011). Rumination as a predictor of relapse in mindfulness-based cognitive therapy for depression. //Psychology and Psychotherapy: Theory, Research and Practice, 84//(2), 230-236. https://doi.org/10.1348/147608310X520166
Odou, N., & Brinker, J. (2015). Self-compassion, a better alternative to rumination than distraction as a response to negative mood. //Journal of Positive Psychology, 10//(5), 447-457. https://doi.org/10.1080/17439760.2014.967800
Petrocchi, N., & Ottaviani, C. (2016). Mindfulness facets distinctively predict depressive symptoms after two years: The mediating role of rumination. //Personality and Individual Differences, 93//, 92-96. https://doi.org/10.1016/j.paid.2015.08.017
Reid, R.C., Temko, J., Moghaddam, J.F., & Fong, T.W. (2014). Shame, rumination, and self-compassion in men assessed for hypersexual disorder. //Journal of Psychiatric Practice, 20//(4), 260-268. https://doi.org/10.1097/01.pra.0000452562.98286.c5
Robins, C.J., Keng, S.L., Ekblad, A.G., & Brantley, J.G. (2012). Effects of mindfulness-based stress reduction on emotional experience and expression: A randomized controlled trial. //Journal of Clinical Psychology, 68//(1), 117-131. https://doi.org/10.1002/jclp.20857
Royuela-Colomer, E., & Calvete, E. (2016). Mindfulness facets and depression in adolescents: Rumination as a mediator. //Mindfulness, 7//(5), 1092-1102. https://doi.org/10.1007/s12671-016-0547-3
Rude, S.S., Maestas, K.L., & Neff, K. (2007). Paying attention to distress: What's wrong with rumination?. //Cognition & Emotion, 21//(4), 843-864. https://doi.org/10.1080/02699930601056732
Sanders, W.A., & Lam, D.H. (2010). Ruminative and mindful self-focused processing modes and their impact on problem solving in dysphoric individuals. //Behaviour Research and Therapy, 48//(8), 747-753. https://doi.org/10.1016/j.brat.2010.04.007
Sauer, S.E., & Baer, R.A. (2012). Ruminative and mindful self-focused attention in borderline personality disorder. //Personality Disorders-theory Research and Treatment, 3//(4), 433-441. https://doi.org/10.1037/a0025465
Schut, D.M., & Boelen, P.A. (2017). The relative importance of rumination, experiential avoidance and mindfulness as predictors of depressive symptoms. //Journal of Contextual Behavioral Science, 6//(1), 8-12. https://doi.org/10.1016/j.jcbs.2016.11.008
Schuver, K.J., & Lewis, B.A. (2016). Mindfulness-based yoga intervention for women with depression. //Complementary Therapies in Medicine, 26//, 85-91.
Selby, E.A., Fehling, K.B., Panza, E.A., & Kranzler, A. (2016). Rumination, mindfulness, and borderline personality disorder symptoms. //Mindfulness, 7//(1), 228-235. https://doi.org/10.1007/s12671-015-0432-5
Shahar, B., Britton, W.B., Sbarra, D.A., Figueredo, A.J., & Bootzin, R.R. (2010). Mechanisms of change in mindfulness-based cognitive therapy for depression: Preliminary evidence from a randomized controlled trial. //International Journal of Cognitive Therapy, 3//(4), 402-418. https://doi.org/10.1521/ijct.2010.3.4.402
Speckens, A.E.M., Ehlers, A., Hackmann, A., Ruths, F.A., & Clark, D.M. (2007). Intrusive memories and rumination in patients with post-traumatic stress disorder: A phenomenological comparison. //Memory, 15//(3), 249-257. https://doi.org/10.1080/09658210701256449
Svendsen, J.L., Kvernenes, K.V., Wiker, A.S., & Dundas, I. (2017). Mechanisms of mindfulness: Rumination and self-compassion. //Nordic Psychology, 69//(2), 71-82. https://doi.org/10.1080/19012276.2016.1171730
Tabadkan, B.B.Z.R., & Poor, M.M. (2016). Relationship between meta-cognitive beliefs and mindfulness with ruminative thoughts in students. //International Journal of Mental Health and Addiction, 14//(6), 1052-1056. https://doi.org/10.1007/s11469-016-9688-9
van Vugt, M.K., Hitchcock, P., Shahar, B., & Britton, W. (2012). The effects of mindfulness-based cognitive therapy on affective memory recall dynamics in depression: A mechanistic model of rumination. //Frontiers in Human Neuroscience, 6//, 257. https://doi.org/10.3389/fnhum.2012.00257
Villa, C.D., & Hilt, L.M. (2014). Brief instruction in mindfulness and relaxation reduce rumination differently for men and women. //International Journal of Cognitive Therapy, 7//(4), 320-333. https://doi.org/10.1521/ijct_2014_07_02
Batt, R., & O'Hare, D. (2005). Pilot behaviors in the face of adverse weather: A new look at an old problem. //Aviation Space and Environmental Medicine, 76//(6), 552-559. https://www.ncbi.nlm.nih.gov/pubmed/15945399
Betts, K.R., & Hinsz, V.B. (2015). Mindful attention and awareness predict self-reported food safety practices in the food service industry. //Current Psychology, 34//(2), 191-206. https://doi.org/10.1007/s12144-014-9251-4
Chera, B.S., Mazur, L., Buchanan, I., Kim, H.J., Rockwell, J., Milowsky, M.I., ... & Marks, L.B. (2015). Improving patient safety in clinical oncology applying lessons from normal accident theory. //JAMA Oncology, 1//(7), 958-964. https://doi.org/10.1001/jamaoncol.2015.0891
Desnoyers, A.J., Kocovski, N.L., Fleming, J.E., & Antony, M.M. (2017). Self-focused attention and safety behaviors across group therapies for social anxiety disorder. //Anxiety Stress and Coping, 30//(4), 441-455. https://doi.org/10.1080/10615806.2016.1239083
Dierynck, B., Leroy, H., Savage, G.T., & Choi, E. (2017). The role of individual and collective mindfulness in promoting occupational safety in health care. //Medical Care Research and Review, 74//(1), 79-96. https://doi.org/10.1177/1077558716629040
Fruhen, L.S., Flin, R.H., & McLeod, R. (2014). Chronic unease for safety in managers: A conceptualisation. //Journal of Risk Research, 17//(8), 969-979. https://doi.org/10.1080/13669877.2013.822924
Lee, Y.C., Huang, S.C., Huang, C.H., & Wu, H.H. (2016). A new approach to identify high burnout medical staffs by kernel k-means cluster analysis in a regional teaching hospital in Taiwan. //INQUIRY: The Journal of Health Care Organization Provision and Financing, 53//. https://doi.org/10.1177/0046958016679306
Leung, M.Y., Liang, Q., & Yu, J.Y. (2016). Development of a mindfulness-stress-performance model for construction workers. //Construction Management and Economics, 34//(2), 110-128. https://doi.org/10.1080/01446193.2016.1147652
Valley, M.A., & Stallones, L. (2017). Effect of mindfulness-based stress reduction training on health care worker safety a randomized waitlist controlled trial. //Journal of Occupational and Environmental Medicine, 59//(10), 935-941. https://doi.org/10.1097/JOM.0000000000001090
Zhang, J.Y., & Wu, C.X. (2014). The influence of dispositional mindfulness on safety behaviors: A dual process perspective. //Accident Analysis and Prevention, 70//, 24-32. https://doi.org/10.1016/j.aap.2014.03.006
Zhang, J.Y., Ding, W.D., Li, Y.J., & Wu, C.X. (2013). Task complexity matters: The influence of trait mindfulness on task and safety performance of nuclear power plant operators. //Personality and Individual Differences, 55//(4), 433-439. https://doi.org/10.1016/j.paid.2013.04.004
Chien, W.T., & Lee, I.Y.M. (2013). The mindfulness-based psychoeducation program for Chinese patients with schizophrenia. //Psychiatric Services, 64//(4), 376-379. https://doi.org/10.1176/appi.ps.002092012
Chien, W.T., & Thompson, D.R. (2014). Effects of a mindfulness-based psychoeducation programme for Chinese patients with schizophrenia: 2-year follow-up. //British Journal of Psychiatry, 205//(1), 52-59. https://doi.org/10.1192/bjp.bp.113.134635
Chien, W.T., Bressington, D., Yip, A., & Karatzias, T. (2017). An international multi-site, randomized controlled trial of a mindfulness-based psychoeducation group programme for people with schizophrenia. //Psychological Medicine, 47//(12), 2081-2096. https://doi.org/10.1017/S0033291717000526
Davis, L.W., Lysaker, P.H., Kristeller, J.L., Salyers, M.P., Kovach, A.C., & Woller, S. (2015). Effect of mindfulness on vocational rehabilitation outcomes in stable phase schizophrenia. //Psychological Services, 12//(3), 303-312. https://doi.org/10.1037/ser0000028
Langer, A.I., Schmidt, C., Mayol, R., Diaz, M., Lecaros, J., Krogh, E., ... & Gaspar, P.A. (2017). The effect of a mindfulness-based intervention in cognitive functions and psychological well-being applied as an early intervention in schizophrenia and high-risk mental state in a Chilean sample: Study protocol for a randomized controlled trial. //Trials, 18//, 233. https://doi.org/10.1186/s13063-017-1967-7
Rayan, A.H.R. (2017). Mindfulness, quality of life, and severity of depressive symptoms among patients with schizophrenia and patients with major depressive disorder. //Journal of Psychosocial Nursing and Mental Health Services, 55//(5), 40-50. https://doi.org/10.3928/02793695-20170420-05
Shonin, E., Van Gordon, W., & Griffiths, M. (2014). Cognitive behavioral therapy (CBT) and meditation awareness training (MAT) for the treatment of co-occurring schizophrenia and pathological gambling: A case study. //International Journal of Mental Health and Addiction, 12//(2), 181-196. https://doi.org/10.1007/s11469-013-9460-3
Solati, K. (2017). The efficacy of mindfulness-based cognitive therapy on resilience among the wives of patients with schizophrenia. //Journal of Clinical and Diagnostic Research, 11//(4), VC1-VC3. https://doi.org/10.7860/JCDR/2017/23101.9514
Tabak, N.T., Horan, W.P., & Green, M.F. (2015). Mindfulness in schizophrenia: Associations with self-reported motivation, emotion regulation, dysfunctional attitudes, and negative symptoms. //Schizophrenia Research, 168//(1-2), 537-542. https://doi.org/10.1016/j.schres.2015.07.030
Wang, L.Q., Chien, W.T., Yip, L.K., & Karatzias, T. (2016). A randomized controlled trial of a mindfulness-based intervention program for people with schizophrenia: 6-month follow-up. //Neuropsychiatric Disease and Treatment, 12//, 3097-3110. https://doi.org/10.2147/NDT.S123239
Bajaj, B., Gupta, R., & Pande, N. (2016). Self-esteem mediates the relationship between mindfulness and well-being. //Personality and Individual Differences, 94//, 96-100. https://doi.org/10.1016/j.paid.2016.01.020
Bajaj, B., Robins, R.W., & Pande, N. (2016). Mediating role of self-esteem on the relationship between mindfulness, anxiety, and depression. //Personality and Individual Differences, 96//, 127-131. https://doi.org/10.1016/j.paid.2016.02.085
Boyd, P., Morris, K.L., & Goldenberg, J.L. (2017). Open to death: A moderating role of openness to experience in terror management. //Journal of Experimental Social Psychology, 71//, 117-127. https://doi.org/10.1016/j.jesp.2017.03.003
Chalk, H.M. (2016). Disability self-categorization in emerging adults: Relationship with self-esteem, perceived esteem, mindfulness, and markers of adulthood. //Emerging Adulthood, 4//(3), 200-206. https://doi.org/10.1177/2167696815584540
Coholic, D. (2005). The helpfulness of spiritually influenced group work in developing self-awareness and self-esteem: A preliminary investigation. //The Scientific World Journal, 5//, 789-802. https://doi.org/10.1100/tsw.2005.99
Ebrahiminejad, S., Poursharifi, H., Roodsari, A.B., Zeinodini, Z., & Noorbakhsh, S. (2016). The effectiveness of mindfulness-based cognitive therapy on Iranian female adolescents suffering from social anxiety. //Iranian Red Crescent Medical Journal, 18//(11). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292141/
Eller, L.S., Rivero-Mendez, M., Voss, J., Chen, W.T., Chaiphibalsarisdi, P., Iipinge, S., ... & Brion, J.M. (2014). Depressive symptoms, self-esteem, HIV symptom management self-efficacy and self-compassion in people living with HIV. //AIDS Care-psychological and Socio-medical Aspects of AIDS/HIV, 26//(7), 795-803. https://doi.org/10.1080/09540121.2013.841842
Fink, S., Foran, K.A., Sweeney, A.C., & O'Hea, E.L. (2009). Sexual body esteem and mindfulness in college women. //Body Image, 6//(4), 326-329. https://doi.org/10.1016/j.bodyim.2009.07.003
Hussain, M.S., & Langer, E. (2003). A cost of pretending. //Journal of Adult Development, 10//(4), 261-270. https://doi.org/10.1023/A:1026063611951
Hwang, S., Kim, G., Yang, J.W., & Yang, E. (2016). The moderating effects of age on the relationships of self-compassion, self-esteem, and mental health. //Japanese Psychological Research, 58//(2), 194-205. https://doi.org/10.1111/jpr.12109
Kong, D.T. (2016). Ostracism perception as a multiplicative function of trait self-esteem, mindfulness, and facial emotion recognition ability. //Personality and Individual Differences, 93//, 68-73. https://doi.org/10.1016/j.paid.2015.08.046
Koole, S.L., Govorun, O., Cheng, C.M., & Gallucci, M. (2009). Pulling yourself together: Meditation promotes congruence between implicit and explicit self-esteem. //Journal of Experimental Social Psychology, 45//(6), 1220-1226. https://doi.org/10.1016/j.jesp.2009.05.018
Leigh, J., & Anderson, V.N. (2013). Secure attachment and autonomy orientation may foster mindfulness. //Contemporary Buddhism, 14//(2), 265-283. https://doi.org/10.1080/14639947.2013.832082
Luo, Y.M., Zhu, R.J., Ju, E.X., & You, X.Q. (2016). Validation of the Chinese version of the Mind-Wandering Questionnaire (MWQ) and the mediating role of self-esteem in the relationship between mind-wandering and life satisfaction for adolescents. //Personality and Individual Differences, 92//, 118-122. https://doi.org/10.1016/j.paid.2015.12.028
Michalak, J., Teismann, T., Heidenreich, T., Strohle, G., & Vocks, S. (2011). Buffering low self-esteem: The effect of mindful acceptance on the relationship between self-esteem and depression. //Personality and Individual Differences, 50//(5), 751-754. https://doi.org/10.1016/j.paid.2010.11.029
Neff, K.D., & Vonk, R. (2009). Self-compassion versus global self-esteem: Two different ways of relating to oneself. //Journal of Personality, 77//(1), 23-50. https://doi.org/10.1111/j.1467-6494.2008.00537.x
Park, H.J., & Dhandra, T.K. (2017). The effect of trait emotional intelligence on the relationship between dispositional mindfulness and self-esteem. //Mindfulness, 8//(5), 1206-1211. https://doi.org/10.1007/s12671-017-0693-2
Pepping, C.A., O'Donovan, A., & Davis, P.J. (2013). The positive effects of mindfulness on self-esteem. //Journal of Positive Psychology, 8//(5), 376-386. https://doi.org/10.1080/17439760.2013.807353
Rasmussen, M.K., & Pidgeon, A.M. (2011). The direct and indirect benefits of dispositional mindfulness on self-esteem and social anxiety. //Anxiety Stress and Coping, 24//(2), 227-233. https://doi.org/10.1080/10615806.2010.515681
Richard, V., Halliwell, W., & Tenenbaum, G. (2017). Effects of an improvisation intervention on elite figure skaters' performance, self esteem, creativity, and mindfulness skills. //Sport Psychologist, 31//(3), 275-287. https://doi.org/10.1123/tsp.2016-0059
Tan, J.F., Lo, P.C., Ge, N., & Chu, C.J. (2016). Self-esteem mediates the relationship between mindfulness and social anxiety among Chinese undergraduate students. //Social Behavior and Personality, 44//(8), 1297-1304. https://doi.org/10.2224/sbp.2016.44.8.1297
Zolnierczyk-Zreda, D., Sanderson, M., & Bedynska, S. (2016). Mindfulness-based stress reduction for managers: A randomized controlled study. //Occupational Medicine-oxford, 66//(8), 630-635. https://doi.org/10.1093/occmed/kqw091
Barry, D., & Meisiek, S. (2010). Seeing more and seeing differently: Sensemaking, mindfulness, and the workarts. //Organization Studies, 31//(11), 1505-1530. https://doi.org/10.1177/0170840610380802
Busby, J.S., & Collins, A.M. (2014). Organizational sensemaking about risk controls: The case of offshore hydrocarbons production. //Risk Analysis, 34//(9), 1738-1752. https://doi.org/10.1111/risa.12198
Guiette, A., & Vandenbempt, K. (2016). Learning in times of dynamic complexity through balancing phenomenal qualities of sensemaking. //Management Learning, 47//(1), 83-99. https://doi.org/10.1177/1350507615592112
Josipovic, Z. (2014). Neural correlates of nondual awareness in meditation. Advances in meditation research: //Neuroscience and clinical applications, 1307//, 9-18. https://doi.org/10.1111/nyas.12261
Josipovic, Z., Dinstein, I., Weber, J., & Heeger, D.J. (2012). Influence of meditation on anti-correlated networks in the brain. //Frontiers in Human Neuroscience, 5//, 183. https://doi.org/10.3389/fnhum.2011.00183
O'Leary, M., & Chia, R. (2007). Epistemes and structures of sensemaking in organizational life. //Journal of Management inquiry, 16//(4), 392-406. https://doi.org/10.1177/1056492607310976
Rosness, R., Evjemo, T.E., Haavik, T., & Waero, I. (2016). Prospective sensemaking in the operating theatre. //Cognition Technology & Work, 18//(1), 53-69. https://doi.org/10.1007/s10111-015-0346-y
Wang, S.B., Lydecker, J.A., & Grilo, C.M. (2017). Rumination in patients with binge-eating disorder and obesity: Associations with eating-disorder psychopathology and weight-bias internalization. //European Eating Disorders Review, 25//(2), 98-103. https://doi.org/10.1002/erv.2499
Wolfradt, U., Oemler, M., Braun, K., & Klement, A. (2014). Health anxiety and habitual rumination: The mediating effect of serenity. //Personality and Individual Differences, 71//, 130-134. https://doi.org/10.1016/j.paid.2014.07.030
Adam, F., Geonet, M., Day, J., & de Sutter, P. (2015). Mindfulness skills are associated with female orgasm?. //Sexual and Relationship Therapy, 30//(2), 256-267. https://doi.org/10.1080/14681994.2014.986085
Adam, F., Heeren, A., Day, J., & de Sutter, P. (2015). Development of the Sexual Five-Facet Mindfulness Questionnaire (FFMQ-S): Validation among a community sample of French-speaking women. //Journal of Sex Research, 52//(6), 617-626. https://doi.org/10.1080/00224499.2014.894490
Baker, A.C., & Absenger, W. (2013). Sexual Wellness Enhancement and Enrichment Training Program (SWEET): A hypothetical group model for addressing sexual health and wellbeing. //Sexual and Relationship Therapy, 28//(1-2), 48-62. https://doi.org/10.1080/14681994.2013.770142
Basson, R., Driscoll, M., & Correia, S. (2016). When sex is always painful: Provoked vestibulodynia. //British Columbia Medical Journal, 58//(2), 77-81.
Bober, S.L., Recklitis, C.J., Bakan, J., Garber, J.E., & Patenaude, A.F. (2015). Addressing sexual dysfunction after risk-reducing salpingo-oophorectomy: Effects of a brief, psychosexual intervention. //Journal of Sexual Medicine, 12//(1), 189-197. https://doi.org/10.1111/jsm.12713
Brotto, L.A., & Basson, R. (2014). Group mindfulness-based therapy significantly improves sexual desire in women. //Behaviour Research and Therapy, 57//, 43-54. https://doi.org/10.1016/j.brat.2014.04.001
Brotto, L.A., Basson, R., & Luria, M. (2008). A mindfulness-based group psychoeducational intervention targeting sexual arousal disorder in women. //Journal of Sexual Medicine, 5//(7), 1646-1659. https://doi.org/10.1111/j.1743-6109.2008.00850.x
Brotto, L.A., Basson, R., Carlson, M., & Zhu, C.C. (2013). Impact of an integrated mindfulness and cognitive behavioural treatment for provoked vestibulodynia (improved): A qualitative study. //Sexual and Relationship Therapy, 28//(1-2), 3-19. https://doi.org/10.1080/14681994.2012.686661
Brotto, L.A., Basson, R., Smith, K.B., Driscoll, M., & Sadownik, L. (2015). Mindfulness-based group therapy for women with provoked vestibulodynia. //Mindfulness, 6//(3), 417-432. https://doi.org/10.1007/s12671-013-0273-z
Brotto, L.A., Chivers, M.L., Millman, R.D., & Albert, A. (2016). Mindfulness-based sex therapy improves genital-subjective arousal concordance in women with sexual desire/arousal difficulties. //Archives of Sexual Behavior, 45//(8), 1907-1921. https://doi.org/10.1007/s10508-015-0689-8
Brotto, L.A., Erskine, Y., Carey, M., Ehlen, T., Finlayson, S., Heywood, M., ... & Miller, D. (2012). A brief mindfulness-based cognitive behavioral intervention improves sexual functioning versus wait-list control in women treated for gynecologic cancer. //Gynecologic Oncology, 125//(2), 320-325. https://doi.org/10.1016/j.ygyno.2012.01.035
Brotto, L.A., Heiman, J.R., Goff, B., Greer, B., Lentz, G.M., Swisher, E., ... & Van Blaricom, A. (2008). A psychoeducational intervention for sexual dysfunction in women with gynecologic cancer. //Archives of Sexual Behavior, 37//(2), 317-329. https://doi.org/10.1007/s10508-007-9196-x
Brotto, L.A., Krychman, M., & Jacobson, P. (2008). Eastern approaches for enhancing women's sexuality: Mindfulness, acupuncture, and yoga (CME). //Journal of Sexual Medicine, 5//(12), 2741-2748. https://doi.org/10.1111/j.1743-6109.2008.01071.x
Brotto, L.A., Seal, B.N., & Rellini, A. (2012). Pilot study of a brief cognitive behavioral versus mindfulness-based intervention for women with sexual distress and a history of childhood sexual abuse. //Journal of Sex & Marital Therapy, 38//(1), 1-27. https://doi.org/10.1080/0092623X.2011.569636
Burrows, C.J. (2013). Acceptance and commitment therapy with survivors of adult sexual assault: A case study. //Clinical Case Studies, 12//(3), 246-259. https://doi.org/10.1177/1534650113479652
Byrne, G., Bogue, J., Egan, R., & Lonergan, E. (2016). Identifying and describing emotions: Measuring the effectiveness of a brief, alexithymia-specific, intervention for a sex offender population. //Sexual Abuse: A Journal of Research and Treatment, 28//(7), 599-619. https://doi.org/10.1177/1079063214558940
Craven, M.K., Thelen, R.L., Elliott, L., & Laear, A.J. (2016). Provoked vulvodynia: A holistic treatment approach. //The Journal for Nurse Practitioners, 12//(8), 530-535. https://doi.org/10.1016/j.nurpra.2016.05.006
Daigneault, I., Dion, J., Hebert, M., & Bourgeois, C. (2016). Mindfulness as mediator and moderator of post-traumatic symptomatology in adolescence following childhood sexual abuse or assault. //Mindfulness, 7//(6), 1306-1315. https://doi.org/10.1007/s12671-016-0571-3
de Jong, D.C. (2009). The role of attention in sexual arousal: Implications for treatment of sexual dysfunction. //Journal of Sex Research, 46//(2-3), 237-248. https://doi.org/10.1080/00224490902747230
Dosch, A., Rochat, L., Ghisletta, P., Favez, N., & Van der Linden, M. (2016). Psychological factors involved in sexual desire, sexual activity, and sexual satisfaction: A multi-factorial perspective. //Archives of Sexual Behavior, 45//(8), 2029-2045. https://doi.org/10.1007/s10508-014-0467-z
Dunkley, C.R., Goldsmith, K.M., & Gorzalka, B.B. (2015). The potential role of mindfulness in protecting against sexual insecurities. //Canadian Journal of Human Sexuality, 24//(2), 92-103. https://doi.org/10.3138/cjhs.242-A7
Fink, S., Foran, K.A., Sweeney, A.C., & O'Hea, E.L. (2009). Sexual body esteem and mindfulness in college women. //Body Image, 6//(4), 326-329. https://doi.org/10.1016/j.bodyim.2009.07.003
Goldstein, I., Kim, N.N., Clayton, A.H., DeRogatis, L.R., Giraldi, A., Parish, S.J., ... & Worsley, R. (2017). Hypoactive sexual desire disorder: International Society for the Study of Women's Sexual Health (ISSWSH) expert consensus panel review. //Mayo Clinic Proceedings, 92//(1), 114-128. https://doi.org/10.1016/j.mayocp.2016.09.018
Hill, J.M., Vernig, P.M., Lee, J.K., Brown, C., & Orsillo, S.M. (2011). The development of a brief acceptance and mindfulness-based program aimed at reducing sexual revictimization among college women with a history of childhood sexual abuse. //Journal of Clinical Psychology, 67//(9), 969-980. https://doi.org/10.1002/jclp.20813
Hocaloski, S., Elliott, S., Brotto, L.A., Breckon, E., & McBride, K. (2016). A mindfulness psychoeducational group intervention targeting sexual adjustment for women with multiple sclerosis and spinal cord injury: A pilot study. //Sexuality and Disability, 34//(2), 183-198. https://doi.org/10.1007/s11195-016-9426-z
Hucker, A., & McCabe, M.P. (2015). Incorporating mindfulness and chat groups into an online cognitive behavioral therapy for mixed female sexual problems. //Journal of Sex Research, 52//(6), 627-639. https://doi.org/10.1080/00224499.2014.888388
Khaddouma, A., Gordon, K.C., & Bolden, J. (2015). Zen and the art of sex: Examining associations among mindfulness, sexual satisfaction, and relationship satisfaction in dating relationships. //Sexual and Relationship Therapy, 30//(2), 268-285. https://doi.org/10.1080/14681994.2014.992408
Kimmes, J.G., Mallory, A.B., Cameron, C., & Kose, O. (2015). A treatment model for anxiety-related sexual dysfunctions using mindfulness meditation within a sex-positive framework. //Sexual and Relationship Therapy, 30//(2), 286-296. https://doi.org/10.1080/14681994.2015.1013023
Kocsis, A., & Newbury-Helps, J. (2016). Mindfulness in sex therapy and intimate relationships (MSIR): Clinical protocol and theory development. //Mindfulness, 7//(3), 690-699. https://doi.org/10.1007/s12671-016-0506-z
Lazaridou, A., & Kalogianni, C. (2013). Mindfulness and sexuality. //Sexual and Relationship Therapy, 28//(1-2), 29-38. https://doi.org/10.1080/14681994.2013.773398
LePage, K., & Selk, A. (2016). What do patients want? A needs assessment of vulvodynia patients attending a vulvar diseases clinic. //Sexual Medicine, 4//(4), E242-E248. https://doi.org/10.1016/j.esxm.2016.06.003
Moyano, N., Dib-Fayad, N., & Velez-Schemankewitz, M. (2017). Adaptation and validation of the Sexual Self-consciousness Scale in Ecuadorian women. //Sexual and Relationship Therapy, 32//(2), 155-172. https://doi.org/10.1080/14681994.2017.1295137
Newcombe, B.C., & Weaver, A.D. (2016). Mindfulness, cognitive distraction, and sexual well-being in women. //Canadian Journal of Human Sexuality, 25//(2), 99-108. https://doi.org/10.3138/cjhs.252-A3
Nezhad, M.S., & Shameli, L. (2017). The effect of acceptance and commitment therapy on sexual satisfaction of couples in Shiraz. //International Journal of Medical Research & Health Sciences, 6//(1), 58-65. https://www.ijmrhs.com/medical-research/the-effect-of-acceptance-and-commitment-therapy-on-sexual-satisfaction-of-couples-in-shiraz.pdf
Paterson, L.Q.P., Handy, A.B., & Brotto, L.A. (2017). A pilot study of eight-session mindfulness-based cognitive therapy adapted for women's sexual interest/arousal disorder. //Journal of Sex Research, 54//(7), 850-861. https://doi.org/10.1080/00224499.2016.1208800
Shorey, R.C., Elmquist, J., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between mindfulness and compulsive sexual behavior in a sample of men in treatment for substance use disorders. //Mindfulness, 7//(4), 866-873. https://doi.org/10.1007/s12671-016-0525-9
Silverstein, R.G., Brown, A.C.H., Roth, H.D., & Britton, W.B. (2011). Effects of mindfulness training on body awareness to sexual stimuli: Implications for female sexual dysfunction. //Psychosomatic Medicine, 73//(9), 817-825. https://doi.org/10.1097/PSY.0b013e318234e628
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2011). Can adult offenders with intellectual disabilities use mindfulness-based procedures to control their deviant sexual arousal?. //Psychology Crime & Law, 17//(2), 165-179. https://doi.org/10.1080/10683160903392731
Worling, J. (2012). The assessment and treatment of deviant sexual arousal with adolescents who have offended sexually. //Journal of Sexual Aggression, 18//(1), 36-63. https://doi.org/10.1080/13552600.2011.630152
Cox, A.E., Ullrich-French, S., Cole, A.N., & D'Hondt-Taylor, M. (2016). The role of state mindfulness during yoga in predicting self-objectification and reasons for exercise. //Psychology of Sport and Exercise, 22//, 321-327. https://doi.org/10.1016/j.psychsport.2015.10.001
Johnson, E.A., & O'Brien, K.A. (2013). Self-compassion soothes the savage ego-threat system: Effects on negative affect, shame, rumination, and depressive symptoms. //Journal of Social and Clinical Psychology, 32//(9), 939-963. https://doi.org/10.1521/jscp.2013.32.9.939
Karris, M., & Caldwell, B.E. (2015). Integrating emotionally focused therapy, self-compassion, and compassion-focused therapy to assist shame-prone couples who have experienced trauma. //Family Journal, 23//(4), 346-357. https://doi.org/10.1177/1066480715601676
Keng, S.L., & Tan, J.X. (2017). Effects of brief mindful breathing and loving-kindness meditation on shame and social problem solving abilities among individuals with high borderline personality traits. //Behaviour Research and Therapy, 97//, 43-51. https://doi.org/10.1016/j.brat.2017.07.004
Liss, M., & Erchull, M.J. (2015). Not hating what you see: Self-compassion may protect against negative mental health variables connected to self-objectification in college women. //Body Image, 14//, 5-12. https://doi.org/10.1016/j.bodyim.2015.02.006
Luoma, J.B., Kohlenberg, B.S., Hayes, S.C., & Fletcher, L. (2012). Slow and steady wins the race: A randomized clinical trial of acceptance and commitment therapy targeting shame in substance use disorders. //Journal of Consulting and Clinical Psychology, 80//(1), 43-53. https://doi.org/10.1037/a0026070
Moreira, H., & Canavarro, M.C. (2017). Is body shame a significant mediator of the relationship between mindfulness skills and the quality of life of treatment-seeking children and adolescents with overweight and obesity? //Body Image, 20//, 49-57. https://doi.org/10.1016/j.bodyim.2016.11.004
Reid, R.C., Temko, J., Moghaddam, J.F., & Fong, T.W. (2014). Shame, rumination, and self-compassion in men assessed for hypersexual disorder. //Journal of Psychiatric Practice, 20//(4), 260-268. https://doi.org/10.1097/01.pra.0000452562.98286.c5
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
Fennell, D. (2012). Explorations of silence in the religious rituals of Buddhists and Quakers. //Religion, 42//(4), 549-574. https://doi.org/10.1080/0048721X.2012.704157
Adler, E., Dhruva, A., Moran, P.J., Daubenmier, J., Acree, M., Epel, E.S., ... & Hecht, F.M. (2017). Impact of a mindfulness-based weight-loss intervention on sleep quality among adults with obesity: Data from the shine randomized controlled trial. //Journal of Alternative and Complementary Medicine, 23//(3), 188-195. https://doi.org/10.1089/acm.2016.0141
Andersen, S.R., Wurtzen, H., Steding-Jessen, M., Christensen, J., Andersen, K.K., Flyger, H., ... & Dalton, S.O. (2013). Effect of mindfulness-based stress reduction on sleep quality: Results of a randomized trial among danish breast cancer patients. //Acta Oncologica, 52//(2), 336-344. https://doi.org/10.3109/0284186X.2012.745948
Bablas, V., Yap, K., Cunnington, D., Swieca, J., & Greenwood, K.M. (2016). Mindfulness-based stress reduction for restless legs syndrome: A proof of concept trial. //Mindfulness, 7//(2), 396-408. https://doi.org/10.1007/s12671-015-0457-9
Beddoe, A.E., Lee, K.A., Weiss, S.J., Kennedy, H.P., & Yang, C.P.P. (2010). Effects of mindful yoga on sleep in pregnant women: A pilot study. //Biological Research for Nursing, 11//(4), 363-370. https://doi.org/10.1177/1099800409356320
Bei, B., Byrne, M.L., Ivens, C., Waloszek, J., Woods, M.J., Dudgeon, P., ... & Allen, N.B. (2013). Pilot study of a mindfulness-based, multi-component, in-school group sleep intervention in adolescent girls. //Early Intervention in Psychiatry, 7//(2), 213-220. https://doi.org/10.1111/j.1751-7893.2012.00382.x
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2014). Mindfulness-based intervention for prodromal sleep disturbances in older adults: Design and methodology of a randomized controlled trial. //Contemporary Clinical Trials, 39//(1), 22-27. https://doi.org/10.1016/j.cct.2014.06.013
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2015). Mindfulness meditation and improvement in sleep quality and daytime impairment among older adults with sleep disturbances a randomized clinical trial. //JAMA Internal Medicine, 175//(4), 494-501. https://doi.org/10.1001/jamainternmed.2014.8081
Blaes, A.H., Fenner, D., Bachanova, V., Torkelson, C., Geller, M., Haddad, T., ... & Kreitzer, M.J. (2016). Mindfulness-based cancer recovery in survivors recovering from chemotherapy and radiation. //Journal of Community and Supportive Oncology, 14//(8), 351-358. https://doi.org/10.12788/jcso.0244
Blake, M., Schwartz, O., Waloszek, J.M., Raniti, M., Simmons, J.G., Murray, G., ... & Allen, N.B. (2017). The sense study: Treatment mechanisms of a cognitive behavioral and mindfulness-based group sleep improvement intervention for at-risk adolescents. //Sleep, 40//(6). https://doi.org/10.1093/sleep/zsx061
Blake, M., Waloszek, J.M., Schwartz, O., Raniti, M., Simmons, J.G., Blake, L., ... & Allen, N.B. (2016). The sense study: Post intervention effects of a randomized controlled trial of a cognitive-behavioral and mindfulness-based group sleep improvement intervention among at-risk adolescents. //Journal of Consulting and Clinical Psychology, 84//(12), 1039-1051. https://doi.org/10.1037/ccp0000142
Bogusch, L.M., Fekete, E.M., & Skinta, M.D. (2016). Anxiety and depressive symptoms as mediators of trait mindfulness and sleep quality in emerging adults. //Mindfulness, 7//(4), 962-970. https://doi.org/10.1007/s12671-016-0535-7
Bootzin, R.R., & Epstein, D.R. (2011). Understanding and treating insomnia. //Annual Review of Clinical Psychology, 7//, 435-458. https://doi.org/10.1146/annurev.clinpsy.3.022806.091516
Bootzin, R.R., & Stevens, S.J. (2005). Adolescents, substance abuse, and the treatment of insomnia and daytime sleepiness. //Clinical Psychology Review, 25//(5), 629-644. https://doi.org/10.1016/j.cpr.2005.04.007
Britton, W.B., Bootzin, R.R., Cousins, J.C., Hasler, B.P., Peck, T., & Shapiro, S.L. (2010). The contribution of mindfulness practice to a multicomponent behavioral sleep intervention following substance abuse treatment in adolescents: A treatment-development study. //Substance Abuse, 31//(2), 86-97. https://doi.org/10.1080/08897071003641297
Britton, W.B., Haynes, P.L., Fridel, K.W., & Bootzin, R.R. (2010). Polysomnographic and subjective profiles of sleep continuity before and after mindfulness-based cognitive therapy in partially remitted depression. //Psychosomatic Medicine, 72//(6), 539-548. https://doi.org/10.1097/PSY.0b013e3181dc1bad
Britton, W.B., Haynes, P.L., Fridel, K.W., & Bootzin, R.R. (2012). Mindfulness-based cognitive therapy improves polysomnographic and subjective sleep profiles in antidepressant users with sleep complaints. //Psychotherapy and Psychosomatics, 81//(5), 296-304. https://doi.org/10.1159/000332755
Caldwell, K., Emery, L., Harrison, M., & Greeson, J. (2011). Changes in Mindfulness, Well-Being, and Sleep Quality in College Students Through Taijiquan Courses: A Cohort Control Study. //Journal of Alternative and Complementary Medicine, 17//(10), 931-938. https://doi.org/10.1089/acm.2010.0645
Caldwell, K., Harrison, M., Adams, M., Quin, R.H., & Greeson, J. (2010). Developing mindfulness in college students through movement-based courses: Effects on self-regulatory self-efficacy, mood, stress, and sleep quality. //Journal of American College Health, 58//(5), 433-442. doi: 10.1080/07448480903540481
Campbell, R., Vansteenkiste, M., Delesie, L.M., Mariman, A.N., Soenens, B., Tobback, E., ... & Vogelaers, D.P. (2015). Examining the role of psychological need satisfaction in sleep: A self-determination theory perspective. //Personality and Individual Differences, 77//, 199-204. https://doi.org/10.1016/j.paid.2015.01.003
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Mind wandering, sleep quality, affect and chronotype: An exploratory study. //PLOS ONE, 9//(3). https://doi.org/10.1371/journal.pone.0091285
Carney, C.E., Harris, A.L., Moss, T.G., & Edinger, J.D. (2010). Distinguishing rumination from worry in clinical insomnia. //Behaviour Research and Therapy, 48//(6), 540-546. https://doi.org/10.1016/j.brat.2010.03.004
Cincotta, A.L., Gehrman, P., Gooneratne, N.S., & Baime, M.J. (2011). The effects of a mindfulness-based stress reduction programme on pre-sleep cognitive arousal and insomnia symptoms: A pilot study. //Stress and Health, 27//(3), E299-E305. https://doi.org/10.1002/smi.1370
Crain, T.L., Schonert-Reichl, K.A., & Roeser, R.W. (2017). Cultivating teacher mindfulness: Effects of a randomized controlled trial on work, home, and sleep outcomes. //Journal of Occupational Health Psychology, 22//(2), 138-152. https://doi.org/10.1037/ocp0000043
Cvengros, J.A., Crawford, M.R., Manber, R., & Ong, J.C. (2015). The relationship between beliefs about sleep and adherence to behavioral treatment combined with meditation for insomnia. //Behavioral Sleep Medicine, 13//(1), 52-63. https://doi.org/10.1080/15402002.2013.838767
Espie, C.A., Barrie, L.M., & Forgan, G.S. (2012). Comparative Investigation of the Psychophysiologic and Idiopathic Insomnia Disorder Phenotypes: Psychologic Characteristics, Patients' Perspectives, and Implications for Clinical Management. //Sleep, 35//(3), 385-393. https://doi.org/10.5665/sleep.1702
Gao, R., Lv, Y., Li, X.M., Zhou, K.N., Jin, X.M., Dang, S.N., ... & Li, N. (2014). Effects of comprehensive sleep management on sleep quality in university students in mainland china. //Sleep and Biological Rhythms, 12//(3), 194-202. https://doi.org/10.1111/sbr.12063
Garcia, M.C., Pompeia, S., Hachul, H., Kozasa, E.H., de Souza, A.A.L., Tufik, S., ... & Mello, L.E.A.M. (2014). Is mindfulness associated with insomnia after menopause?. //Menopause: The Journal of the North American Menopause Society, 21//(3), 301-305. https://doi.org/10.1097/GME.0b013e31829996fc
Garland, S.N., Campbell, T., Samuels, C., & Carlson, L.E. (2013). Dispositional mindfulness, insomnia, sleep quality and dysfunctional sleep beliefs in post-treatment cancer patients. //Personality and Individual Differences, 55//(3), 306-311. https://doi.org/10.1016/j.paid.2013.03.003
Garland, S.N., Carlson, L.E., Antle, M.C., Samuels, C., & Campbell, T. (2011). I-can sleep: Rationale and design of a non-inferiority rct of mindfulness-based stress reduction and cognitive behavioral therapy for the treatment of insomnia in cancer survivors. //Contemporary Clinical Trials, 32//(5), 747-754. https://doi.org/10.1016/j.cct.2011.05.014
Garland, S.N., Carlson, L.E., Stephens, A.J., Antle, M.C., Samuels, C., & Campbell, T.S. (2014). Mindfulness-based stress reduction compared with cognitive behavioral therapy for the treatment of insomnia comorbid with cancer: A randomized, partially blinded, noninferiority trial. //Journal of Clinical Oncology, 32//(5), 449-457. https://doi.org/10.1200/JCO.2012.47.7265
Garland, S.N., Johnson, J.A., Savard, J., Gehrman, P., Perlis, M., Carlson, L., ... & Campbell, T. (2014). Sleeping well with cancer: A systematic review of cognitive behavioral therapy for insomnia in cancer patients. //Neuropsychiatric Disease and Treatment, 10//, 1113-1124. https://doi.org/10.2147/NDT.S47790
Garland, S.N., Rouleau, C.R., Campbell, T., Samuels, C., & Carlson, L.E. (2015). The Comparative Impact of Mindfulness-Based Cancer Recovery (MBCR) and Cognitive Behavior Therapy for Insomnia (CBT-I) on Sleep and Mindfulness in Cancer Patients. //Explore: The Journal of Science and Healing, 11//(6), 445-454. https://doi.org/10.1016/j.explore.2015.08.004
Gong, H., Ni, C.X., Liu, Y.Z., Zhang, Y., Su, W.J., Lian, Y.J., ... & Jiang, C.L. (2016). Mindfulness meditation for insomnia: A meta-analysis of randomized controlled trials. //Journal of Psychosomatic Research, 89//, 1-6. https://doi.org/10.1016/j.jpsychores.2016.07.016
Gross, C.R., Kreitzer, M.J., Reilly-Spong, M., Wall, M., Winbush, N.Y., Patterson, R., ... & Cramer-Bornemann, M. (2011). Mindfulness-Based Stress Reduction Versus Pharmacotherapy for Chronic Primary Insomnia: A Randomized Controlled Clinical Trial. //Explore: The Journal of Science and Healing, 7//(2), 76-87. https://doi.org/10.1016/j.explore.2010.12.003
Hantsoo, L., Khou, C.S., White, C.N., & Ong, J.C. (2013). Gender and cognitive-emotional factors as predictors of pre-sleep arousal and trait hyperarousal in insomnia. //Journal of Psychosomatic Research, 74//(4), 283-289. https://doi.org/10.1016/j.jpsychores.2013.01.014
Holmqvist, M., Vincent, N., & Walsh, K. (2014). Web- vs telehealth-based delivery of cognitive behavioral therapy for insomnia: A randomized controlled trial. //Sleep Medicine, 15//(2), 187-195. https://doi.org/10.1016/j.sleep.2013.10.013
Howell, A.J., Digdon, N.L., Buro, K., & Sheptycki, A.R. (2008). Relations among mindfulness, well-being, and sleep. //Personality and Individual Differences, 45//(8), 773-777. https://doi.org/10.1016/j.paid.2008.08.005
Hsu, H.C., Tsao, L.I., & Lin, M.H. (2015). Improving sleep quality interventions among menopausal women with sleep disturbances in taiwan: A preliminary study. //Applied Nursing Research, 28//(4), 374-380. https://doi.org/10.1016/j.apnr.2015.01.004
Hubbling, A., Reilly-Spong, M., Kreitzer, M.J., & Gross, C.R. (2014). How mindfulness changed my sleep: Focus groups with chronic insomnia patients. //BMC Complementary and Alternative Medicine, 14//50. https://doi.org/10.1186/1472-6882-14-50
Hulsheger, U.R. (2016). From dawn till dusk: Shedding light on the recovery process by investigating daily change patterns in fatigue. //Journal of Applied Psychology, 101//(6), 905-914. https://doi.org/10.1037/apl0000104
Hulsheger, U.R., Feinholdt, A., & Nubold, A. (2015). A low-dose mindfulness intervention and recovery from work: Effects on psychological detachment, sleep quality, and sleep duration. //Journal of Occupational and Organizational Psychology, 88//(3), 464-489. https://doi.org/10.1111/joop.12115
Kanen, J.W., Nazir, R., Sedky, K., & Pradhan, B.K. (2015). The effects of mindfulness-based interventions on sleep disturbance: A meta-analysis. //Adolescent Psychiatry, 5//(2), 105-115. https://doi.org/10.2174/2210676605666150311222928
Kato, T. (2016). Impact of psychological inflexibility on depressive symptoms and sleep difficulty in a Japanese sample. //SpringerPlus, 5//712. https://doi.org/10.1186/s40064-016-2393-0
Kemper, K.J., Mo, X.K., & Khayat, R. (2015). Are mindfulness and self-compassion associated with sleep and resilience in health professionals?. //Journal of Alternative and Complementary Medicine, 21//(8), 496-503. https://doi.org/10.1089/acm.2014.0281
Kirwan, M., Pickett, S.M., & Jarrett, N.L. (2017). Emotion regulation as a moderator between anxiety symptoms and insomnia symptom severity. //Psychiatry Research, 254//, 40-47. https://doi.org/10.1016/j.psychres.2017.04.028
Larouche, M., Lorrain, D., Cote, G., & Belisle, D. (2015). Evaluation of the effectiveness of mindfulness-based cognitive therapy to treat chronic insomnia. //European Review of Applied Psychology, 65//(3), 115-123. https://doi.org/10.1016/j.erap.2015.03.002
Lengacher, C.A., Reich, R.R., Paterson, C.L., Jim, H.S., Ramesar, S., Alinat, C.B., ... & Kip, K.E. (2015). The effects of mindfulness-based stress reduction on objective and subjective sleep parameters in women with breast cancer: A randomized controlled trial. //Psycho-Oncology, 24//(4), 424-432. https://doi.org/10.1002/pon.3603
Lichstein, K.L. (2017). Insomnia identity. //Behaviour Research and Therapy, 97//, 230-241. https://doi.org/10.1016/j.brat.2017.08.005
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Donaldson, G.W., & Nakamura, Y. (2013). Reduction in salivary alpha-amylase levels following a mind-body intervention in cancer survivors - an exploratory study. //Psychoneuroendocrinology, 38//(9), 1521-1531. https://doi.org/10.1016/j.psyneuen.2012.12.021
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Grewen, K., Donaldson, G.W., & Nakamura, Y. (2015). An exploratory study of the effects of mind-body interventions targeting sleep on salivary oxytocin levels in cancer survivors. //Integrative Cancer Therapies, 14//(4), 366-380. https://doi.org/10.1177/1534735415580675
Lunde, L.H., & Skjotskift, S. (2015). Combining mindfulness meditation with cognitive behavior therapy and medication taper for hypnotic-dependent insomnia in older adults: A case study. //Clinical Case Studies, 14//(4), 307-320. https://doi.org/10.1177/1534650114557566
Nakamura, Y., Lipschitz, D.L., Donaldson, G.W., Kida, Y., Williams, S.L., Landward, R., ... & Tuteja, A.K. (2017). Investigating clinical benefits of a novel sleep-focused mind-body program on gulf war illness symptoms: A randomized controlled trial. //Psychosomatic Medicine, 79//(6), 706-718. https://doi.org/10.1097/PSY.0000000000000469
Nakamura, Y., Lipschitz, D.L., Kanarowski, E., McCormick, T., Sutherland, D., & Melow-Murchie, M. (2015). Investigating impacts of incorporating an adjuvant mind-body intervention method into treatment as usual at a community-based substance abuse treatment facility: A pilot randomized controlled study. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572489
Nakamura, Y., Lipschitz, D.L., Kuhn, R., Kinney, A.Y., & Donaldson, G.W. (2013). Investigating efficacy of two brief mind-body intervention programs for managing sleep disturbance in cancer survivors: A pilot randomized controlled trial. //Journal of Cancer Survivorship, 7//(2), 165-182. https://doi.org/10.1007/s11764-012-0252-8
Nakamura, Y., Lipschitz, D.L., Landward, R., Kuhn, R., & West, G. (2011). Two sessions of sleep-focused mind-body bridging improve self-reported symptoms of sleep and PTSD in veterans: A pilot randomized controlled trial. //Journal of Psychosomatic Research, 70//(4), 335-345. https://doi.org/10.1016/j.jpsychores.2010.09.007
Ong, J., & Sholtes, D. (2010). A mindfulness-based approach to the treatment of insomnia. //Journal of Clinical Psychology, 66//(11), 1175-1184. https://doi.org/10.1002/jclp.20736
Ong, J.C., Hedeker, D., Wyatt, J.K., & Manber, R. (2016). Examining the variability of sleep patterns during treatment for chronic insomnia: Application of a location-scale mixed model. //Journal of Clinical Sleep Medicine, 12//(6), NA-804. https://doi.org/10.5664/jcsm.5872
Ong, J.C., Manber, R., Segal, Z., Xia, Y.L., Shapiro, S., & Wyatt, J.K. (2014). A randomized controlled trial of mindfulness meditation for chronic insomnia. //Sleep, 37//(9), 1553-U186. https://doi.org/10.5665/sleep.4010
Ong, J.C., Shapiro, S.L., & Manber, R. (2008). Combining mindfulness meditation with cognitive-behavior therapy for insomnia: A treatment-development study. //Behavior Therapy, 39//(2), 171-182. https://doi.org/10.1016/j.beth.2007.07.002
Ong, J.C., Shapiro, S.L., & Manber, R. (2009). Mindfulness meditation and cognitive behavioral therapy for insomnia: A naturalistic 12-month follow-up. //Explore: The Journal of Science and Healing, 5//(1), 30-36. https://doi.org/10.1016/j.explore.2008.10.004
Ong, J.C., Ulmer, C.S., & Manber, R. (2012). Improving sleep with mindfulness and acceptance: A metacognitive model of insomnia. //Behaviour Research and Therapy, 50//(11), 651-660. https://doi.org/10.1016/j.brat.2012.08.001
Palagini, L., Ong, J.C., & Riemann, D. (2017). The mediating role of sleep-related metacognitive processes in trait and pre-sleep state hyperarousal in insomnia disorder. //Journal of Psychosomatic Research, 99//, 59-65. https://doi.org/10.1016/j.jpsychores.2017.03.001
Pattanashetty, R., Sathiamma, S., Talakkad, S., Nityananda, P., Trichur, R., & Kutty, B.M. (2010). Practitioners of vipassana meditation exhibit enhanced slow wave sleep and REM sleep states across different age groups. //Sleep and Biological Rhythms, 8//(1), 34-41. https://doi.org/10.1111/j.1479-8425.2009.00416.x
Pillai, V., Roth, T., Mullins, H.M., & Drake, C.L. (2014). Moderators and mediators of the relationship between stress and insomnia: Stressor chronicity, cognitive intrusion, and coping. //Sleep, 37//(7), 1199-+. https://doi.org/10.5665/sleep.3838
Rahimi, A., Ahmadpanah, M., Shamsaei, F., Cheraghi, F., Bahmani, D.S., Holsboer-Trachsler, E., ... & Brand, S. (2016). Effect of adjuvant sleep hygiene psychoeducation and lorazepam on depression and sleep quality in patients with major depressive disorders: Results from a randomized three-arm intervention. //Neuropsychiatric Disease and Treatment, 12//, 1507-NA. https://doi.org/10.2147/NDT.S110978
Ree, M., Junge, M., & Cunnington, D. (2017). Australasian sleep association position statement regarding the use of psychological/behavioral treatments in the management of insomnia in adults. //Sleep Medicine, 36//, S43-S47. https://doi.org/10.1016/j.sleep.2017.03.017
Valerio, T.D., Kim, M.J., & Sexton-Radek, K. (2016). Association of stress, general health, and alcohol use with poor sleep quality among u.s. college students. //American Journal of Health Education, 47//(1), 17-23. https://doi.org/10.1080/19325037.2015.1111173
Visser, P.L., Hirsch, J.K., Brown, K.W., Ryan, R., & Moynihan, J.A. (2015). Components of sleep quality as mediators of the relation between mindfulness and subjective vitality among older adults. //Mindfulness, 6//(4), 723-731. https://doi.org/10.1007/s12671-014-0311-5
Whittingham, K., & Douglas, P. (2014). Optimizing parent-infant sleep from birth to 6 months: A new paradigm. //Infant Mental Health Journal, 35//(6), 614-623. https://doi.org/10.1002/imhj.21455
Wong, S.Y.S., Zhang, D.X., Li, C.C.K., Yip, B.H.K., Chan, D.C.C., Ling, Y.M., ... & Wing, Y.K. (2017). Comparing the effects of mindfulness-based cognitive therapy and sleep psycho-education with exercise on chronic insomnia: A randomised controlled trial. //Psychotherapy and Psychosomatics, 86//(4), 241-253. https://doi.org/10.1159/000470847
Zhang, J.X., Liu, X.H., Xie, X.H., Zhao, D., Shan, M.S., Zhang, X.L., ... & Cui, H. (2015). Mindfulness-based stress reduction for chronic insomnia in adults older than 75 years: A randomized, controlled, single-blind clinical trial. //Explore: The Journal of Science and Healing, 11//(3), 180-185. https://doi.org/10.1016/j.explore.2015.02.005
Adams, C.E., Benitez, L., Kinsaul, J., McVay, M.A., Barbry, A., Thibodeaux, A., ... & Copeland, A.L. (2013). Effects of brief mindfulness instructions on reactions to body image stimuli among female smokers: An experimental study. //Nicotine & Tobacco Research, 15//(2), 376-384. https://doi.org/10.1093/ntr/nts133
Adams, C.E., Chen, M.X., Guo, L., Lam, C.Y., Stewart, D.W., Correa-Fernndez, V., ... & Wetter, D.W. (2014). Mindfulness predicts lower affective volatility among African Americans during smoking cessation. //Psychology of Addictive Behaviors, 28//(2), 580-585. https://doi.org/10.1037/a0036512
Adams, C.E., McVay, M.A., Kinsaul, J., Benitez, L., Vinci, C., Stewart, D.W., ... & Copeland, A.L. (2012). Unique relationships between facets of mindfulness and eating pathology among female smokers. //Eating Behaviors, 13//(4), 390-393. https://doi.org/10.1016/j.eatbeh.2012.05.009
Adams, C.E., Mcvay, M.A., Stewart, D.W., Vinci, C., Kinsaul, J., Benitez, L., ... & Copeland, A.L. (2014). Mindfulness ameliorates the relationship between weight concerns and smoking behavior in female smokers: A cross-sectional investigation. //Mindfulness, 5//(2), 179-185. https://doi.org/10.1007/s12671-012-0163-9
Adams, C.E., Tull, M.T., & Gratz, K.L. (2012). The role of emotional nonacceptance in the relation between depression and recent cigarette smoking. //American Journal on Addictions, 21//(4), 293-301. https://doi.org/10.1111/j.1521-0391.2012.00238.x
Barros, V.V., Kozasa, E.H., Formagini, T.D.B., Pereira, L.H., & Ronzani, T.M. (2015). Smokers show lower levels of psychological well-being and mindfulness than non-smokers. //PLOS ONE, 10//(8). https://doi.org/10.1371/journal.pone.0135377
Bock, B.C., Morrow, K.M., Becker, B.M., Williams, D.M., Tremont, G., Gaskins, R.B., ... & Marcus, B.H. (2010). Yoga as a complementary treatment for smoking cessation: Rationale, study design and participant characteristics of the quitting-in-balance study. //BMC Complementary and Alternative Medicine, 10//. https://doi.org/10.1186/1472-6882-10-14
Bock, B.C., Rosen, R.K., Fava, J.L., Gaskins, R.B., Jennings, E., Thind, H., ... & Marcus, B.H. (2014). Testing the efficacy of yoga as a complementary therapy for smoking cessation: Design and methods of the breatheasy trial. //Contemporary Clinical Trials, 38//(2), 321-332. https://doi.org/10.1016/j.cct.2014.06.003
Bowen, S., & Marlatt, A. (2009). Surfing the urge: Brief mindfulness-based intervention for college student smokers. //Psychology of Addictive Behaviors, 23//(4), 666-671. https://doi.org/10.1037/a0017127
Brewer, J.A., Mallik, S., Babuscio, T.A., Nich, C., Johnson, H.E., Deleone, C.M., ... & Rounsaville, B.J. (2011). Mindfulness training for smoking cessation: Results from a randomized controlled trial. //Drug and Alcohol Dependence, 119//(42737), 72-80. https://doi.org/10.1016/j.drugalcdep.2011.05.027
Bricker, J.B., Copeland, W., Mull, K.E., Zeng, E.Y., Watson, N.L., Akioka, K.J., ... & Heffner, J.L. (2017). Single-arm trial of the second version of an acceptance & commitment therapy smartphone application for smoking cessation. //Drug and Alcohol Dependence, 170//, 37-42. https://doi.org/10.1016/j.drugalcdep.2016.10.029
Bricker, J.B., Mull, K.E., Kientz, J.A., Vilardaga, R., Mercer, L.D., Akioka, K.J., ... & Heffner, J.L. (2014). Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy. //Drug and Alcohol Dependence, 143//, 87-94. https://doi.org/10.1016/j.drugalcdep.2014.07.006
Cano, M.A., Lam, C.Y., Chen, M.X., Adams, C.E., Correa-Fernandez, V., Stewart, D.W., ... & Wetter, D.W. (2014). Positive smoking outcome expectancies mediate the association between negative affect and smoking urge among women during a quit attempt. //Experimental and Clinical Psychopharmacology, 22//(4), 332-340. https://doi.org/10.1037/a0036749
Castaneda, G., Barnett, T.E., Soule, E.K., & Young, M.E. (2016). Hookah smoking behavior initiation in the context of millennials. //Public Health, 137//, 124-130. https://doi.org/10.1016/j.puhe.2016.02.013
Davis, J.M., Goldberg, S.B., Anderson, M.C., Manley, A.R., Smith, S.S., & Baker, T.B. (2014). Randomized trial on mindfulness training for smokers targeted to a disadvantaged population. //Substance Use & Misuse, 49//(5), 571-585. https://doi.org/10.3109/10826084.2013.770025
Davis, J.M., Manley, A.R., Goldberg, S.B., Smith, S.S., & Jorenby, D.E. (2014). Randomized trial comparing mindfulness training for smokers to a matched control. //Journal of Substance Abuse Treatment, 47//(3), 213-221. https://doi.org/10.1016/j.jsat.2014.04.005
Davis, J.M., Manley, A.R., Goldberg, S.B., Stankevitz, K.A., & Smith, S.S. (2015). Mindfulness training for smokers via web-based video instruction with phone support: A prospective observational study. //BMC Complementary and Alternative Medicine, 15//. https://doi.org/10.1186/s12906-015-0618-3
Davis, J.M., Mills, D.M., Stankevitz, K.A., Manley, A.R., Majeskie, M.R., & Smith, S.S. (2013). Pilot randomized trial on mindfulness training for smokers in young adult binge drinkers. //BMC Complementary and Alternative Medicine, 13//. https://doi.org/10.1186/1472-6882-13-215
Elwafi, H.M., Witkiewitz, K., Mallik, S., Thornhill, T.A., & Brewer, J.A. (2013). Mindfulness training for smoking cessation: Moderation of the relationship between craving and cigarette use. //Drug and Alcohol Dependence, 130//(42738), 222-229. https://doi.org/10.1016/j.drugalcdep.2012.11.015
Erskine, J.A.K., Rawaf, D., Grice, S., & Ussher, M. (2015). Effect of suppressing thoughts of desire to smoke on ratings of desire to smoke and tobacco withdrawal symptoms. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572488
Erskine, J.A.K., Ussher, M., Cropley, M., Elgindi, A., Zaman, M., & Corlett, B. (2012). Effect of thought suppression on desire to smoke and tobacco withdrawal symptoms. //Psychopharmacology, 219//(1), 205-211. https://doi.org/10.1007/s00213-011-2391-4
Gao, Y., & Shi, L. (2015). Mindfulness, physical activity and avoidance of secondhand smoke: A study of college students in shanghai. //International Journal of Environmental Research and Public Health, 12//(8). https://doi.org/10.3390/ijerph120810106
Garrison, K.A., Pal, P., Rojiani, R., Dallery, J., O'Malley, S.S., & Brewer, J.A. (2015). A randomized controlled trial of smartphone-based mindfulness training for smoking cessation: A study protocol. //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0468-z
Goldberg, S.B., Manley, A.R., Smith, S.S., Greeson, J.M., Russell, E., Van Uum, S., ... & Davis, J.M. (2014). Hair cortisol as a biomarker of stress in mindfulness training for smokers. //Journal of Alternative and Complementary Medicine, 20//(8), 630-634. https://doi.org/10.1089/acm.2014.0080
Gryffin, P.A., & Chen, W.C. (2013). Implications of T'ai Chi for Smoking Cessation. //Journal of Alternative and Complementary Medicine, 19//(2), 141-145. https://doi.org/10.1089/acm.2011.0094
Guillot, C.R., Pang, R.D., & Leventhal, A.M. (2014). Anxiety sensitivity and negative urgency a pathway to negative reinforcement-related smoking expectancies. //Journal of Addiction Medicine, 8//(3), 189-194. https://doi.org/10.1097/ADM.0000000000000017
Guillot, C.R., Zvolensky, M.J., & Levehthal, A.M. (2015). Differential associations between components of anxiety sensitivity and smoking-related characteristics. //Addictive Behaviors, 40//, 39-44. https://doi.org/10.1016/j.addbeh.2014.08.004
Heppner, W.L., Spears, C.A., Correa-Fernandez, V., Castro, Y., Li, Y.S., Guo, B.B., ... & Wetter, D.W. (2016). Dispositional mindfulness predicts enhanced smoking cessation and smoking lapse recovery. //Annals of Behavioral Medicine, 50//(3), 337-347. https://doi.org/10.1007/s12160-015-9759-3
Kelly, M.M., Latta, R.E., & Gimmestad, K. (2012). Acceptance and mindfulness-based tobacco cessation interventions for individuals with mental health disorders. //Journal of Dual Diagnosis, 8//(2), 89-98. https://doi.org/10.1080/15504263.2012.670846
Kelly, M.M., Sido, H., Forsyth, J.P., Ziedonis, D.M., Kalman, D., & Cooney, J.L. (2015). Acceptance and commitment therapy smoking cessation treatment for veterans with posttraumatic stress disorder: A pilot study. //Journal of Dual Diagnosis, 11//(1), 50-55. https://doi.org/10.1080/15504263.2014.992201
Kober, H., Brewer, J.A., Height, K.L., & Sinha, R. (2017). Neural stress reactivity relates to smoking outcomes and differentiates between mindfulness and cognitive-behavioral treatments. //Neuroimage, 151//, 4-13. https://doi.org/10.1016/j.neuroimage.2016.09.042
Levin, M.E., Luoma, J.B., & Haeger, J.A. (2015). Decoupling as a mechanism of change in mindfulness and acceptance: A literature review. //Behavior Modification, 39//(6). https://doi.org/10.1177/0145445515603707
Libby, D.J., Worhunsky, P.D., Pilver, C.E., & Brewer, J.A. (2012). Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes. //Frontiers in Human Neuroscience, 6//, 54. https://doi.org/10.3389/fnhum.2012.00054
Loree, A.M., Ondersma, S.J., & Grekin, E.R. (2017). Toward enhancing treatment for pregnant smokers: Laying the groundwork for the use of complementary and alternative medicine approaches. //Nicotine & Tobacco Research, 19//(5), 562-571. https://doi.org/10.1093/ntr/ntw262
Luberto, C.M., McLeish, A.C., Robertson, S.A., Avallone, K.M., Kraemer, K.M., & Jeffries, E.R. (2014). The role of mindfulness skills in terms of distress tolerance: A pilot test among adult daily smokers. //American Journal on Addictions, 23//(2), 184-188. https://doi.org/10.1111/j.1521-0391.2013.12096.x
Nosen, E., & Woody, S.R. (2013). Brief psycho-education affects circadian variability in nicotine craving during cessation. //Drug and Alcohol Dependence, 132//(42737), 283-289. https://doi.org/10.1016/j.drugalcdep.2013.02.017
Paz, R., Zvielli, A., Goldstein, P., & Bernstein, A. (2017). Brief mindfulness training de-couples the anxiogenic effects of distress intolerance on reactivity to and recovery from stress among deprived smokers. //Behaviour Research and Therapy, 95//, 117-127. https://doi.org/10.1016/j.brat.2017.05.017
Reid, H.H., & Ledgerwood, D.M. (2016). Depressive symptoms affect changes in nicotine withdrawal and smoking urges throughout smoking cessation treatment: Preliminary results. //Addiction Research & Theory, 24//(1), 48-53. https://doi.org/10.3109/16066359.2015.1060967
Ruscio, A.C., Muench, C., Brede, E., & Waters, A.J. (2016). Effect of brief mindfulness practice on self-reported affect, craving, and smoking: A pilot randomized controlled trial using ecological momentary assessment. //Nicotine & Tobacco Research, 18//(1), 64-73. https://doi.org/10.1093/ntr/ntv074
Schuman-Olivier, Z., Hoeppner, B.B., Evins, A.E., & Brewer, J.A. (2014). Finding the right match: Mindfulness training may potentiate the therapeutic effect of nonjudgment of inner experience on smoking cessation. //Substance Use & Misuse, 49//(5), 586-594. https://doi.org/10.3109/10826084.2014.850254
Singh, N.N., Lancioni, G.E., Myers, R.E., Karazsia, B.T., Winton, A.S.W., & Singh, J. (2014). A randomized controlled trial of a mindfulness-based smoking cessation program for individuals with mild intellectual disability. //International Journal of Mental Health and Addiction, 12//(2), 153-168. https://doi.org/10.1007/s11469-013-9471-0
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Singh, A.D.A., Singh, A.N.A., ... & Singh, J. (2013). A mindfulness-based smoking cessation program for individuals with mild intellectual disability. //Mindfulness, 4//(2), 148-157. https://doi.org/10.1007/s12671-012-0148-8
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N.A., Singh, J., & Singh, A.D.A. (2011). Effects of a mindfulness-based smoking cessation program for an adult with mild intellectual disability. //Research in Developmental Disabilities, 32//(3), 1180-1185. https://doi.org/10.1016/j.ridd.2011.01.003
Spears, C.A., Hedeker, D., Li, L., Wu, C., Anderson, N.K., Houchins, S.C., ... & Welter, D.W. (2017). Mechanisms underlying mindfulness-based addiction treatment versus cognitive behavioral therapy and usual care for smoking cessation. //Journal of Consulting and Clinical Psychology, 85//(11), 1029-1040. https://doi.org/10.1037/ccp0000229
Spears, C.A., Houchins, S.C., Stewart, D.W., Chen, M.X., Correa-Fernandez, V., Cano, M.A., ... & Wetter, D.W. (2015). Nonjudging facet of mindfulness predicts enhanced smoking cessation in hispanics. //Psychology of Addictive Behaviors, 29//(4). https://doi.org/10.1037/adb0000087
Szasz, P.L., Szentagotai, A., & Hofmann, S.G. (2012). Effects of emotion regulation strategies on smoking craving, attentional bias, and task persistence. //Behaviour Research and Therapy, 50//(5), 333-340. https://doi.org/10.1016/j.brat.2012.02.010
Tang, Y.Y., Tang, R.X., & Posner, M.I. (2013). Brief meditation training induces smoking reduction. //Proceedings of the National Academy of Sciences of the United States of America, 110//(34), 13971-13975. https://doi.org/10.1073/pnas.1311887110
Ussher, M., Cropley, M., Playle, S., Mohidin, R., & West, R. (2009). Effect of isometric exercise and body scanning on cigarette cravings and withdrawal symptoms. //Addiction, 104//(7), 1251-1257. https://doi.org/10.1111/j.1360-0443.2009.02605.x
Vidrine, J.I., Businelle, M.S., Cinciripini, P., Li, Y.S., Marcus, M.T., Waters, A.J., ... & Wetter, D.W. (2009). Associations of mindfulness with nicotine dependence, withdrawal, and agency. //Substance Abuse, 30//(4), 318-327. https://doi.org/10.1080/08897070903252973
Vidrine, J.I., Businelle, M.S., Reitzel, L.R., Cao, Y.M., Cinciripini, P.M., Marcus, M.T., ... & Wetter, D.W. (2015). Coping mediates the association of mindfulness with psychological stress, affect, and depression among smokers preparing to quit. //Mindfulness, 6//(3), 433-443. https://doi.org/10.1007/s12671-014-0276-4
Vinci, C., Li, L., Wu, C., Lam, C.Y., Guo, L., Correa-Fernandez, V., ... & Wetter, D.W. (2017). The association of positive emotion and first smoking lapse: An ecological momentary assessment study. //Health Psychology, 36//(11), 1038-1046. https://doi.org/10.1037/hea0000535
Vinci, C., Spears, C.A., Peltier, M.R., & Copeland, A.L. (2016). Facets of mindfulness mediate the relationship between depressive symptoms and smoking behavior. //Mindfulness, 7//(6), 1408-1415. https://doi.org/10.1007/s12671-016-0582-0
Waters, A.J., Reitzel, L.R., Cinciripini, P., Li, Y.S., Marcus, M.T., Vidrine, J.I., ... & Wetter, D.W. (2009). Associations between mindfulness and implicit cognition and self-reported affect. //Substance Abuse, 30//(4), 328-337. https://doi.org/10.1080/08897070903252080
Westbrook, C., Creswell, J.D., Tabibnia, G., Julson, E., Kober, H., & Tindle, H.A. (2013). Mindful attention reduces neural and self-reported cue-induced craving in smokers. //Social Cognitive and Affective Neuroscience, 8//(1), 73-84. https://doi.org/10.1093/scan/nsr076
Desnoyers, A.J., Kocovski, N.L., Fleming, J.E., & Antony, M.M. (2017). Self-focused attention and safety behaviors across group therapies for social anxiety disorder. //Anxiety Stress and Coping, 30//(4), 441-455. https://doi.org/10.1080/10615806.2016.1239083
Faucher, J., Koszycki, D., Bradwejn, J., Merali, Z., & Bielajew, C. (2016). Effects of CBT versus MBSR treatment on social stress reactions in social anxiety disorder. //Mindfulness, 7//(2), 514-526. https://doi.org/10.1007/s12671-015-0486-4
Gershkovich, M., Herbert, J.D., Forman, E.M., Schumacher, L.M., & Fischer, L.E. (2017). Internet-delivered acceptance-based cognitive-behavioral intervention for social anxiety disorder with and without therapist support: A randomized trial. //Behavior Modification, 41//(5), 583-608. https://doi.org/10.1177/0145445517694457
Goldin, P., Ziv, M., Jazaieri, H., & Gross, H.J. (2012). Randomized controlled trial of mindfulness-based stress reduction versus aerobic exercise: Effects on the self-referential brain network in social anxiety disorder. //Frontiers in Human Neuroscience, 6//, 295. https://doi.org/10.3389/fnhum.2012.00295
Goldin, P., Ziv, M., Jazaieri, H., Hahn, K., & Gross, J.J. (2013). MBSR vs aerobic exercise in social anxiety: fMRI of emotion regulation of negative self-beliefs. //Social Cognitive and Affective Neuroscience, 8//(1), 65-72. https://doi.org/10.1093/scan/nss054
Goldin, P.R., Morrison, A., Jazaieri, H., Brozovich, F., Heimberg, R., & Gross, J.J. (2016). Group CBT versus MBSR for social anxiety disorder: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 84//(5), 427-437. https://doi.org/10.1037/ccp0000092
Goldin, P.R., Morrison, A.S., Jazaieri, H., Heimberg, R.G., & Gross, J.J. (2017). Trajectories of social anxiety, cognitive reappraisal, and mindfulness during an RCT of CBGT versus MBSR for social anxiety disorder. //Behaviour Research and Therapy, 97//, 1-13. https://doi.org/10.1016/j.brat.2017.06.001
Hjeltnes, A., Molde, H., Schanche, E., Vollestad, J., Svendsen, J.L., Moltu, C., ... & Binder, P.E. (2017). An open trial of mindfulness-based stress reduction for young adults with social anxiety disorder. //Scandinavian Journal of Psychology, 58//(1), 80-90. https://doi.org/10.1111/sjop.12342
Jazaieri, H., Goldin, P.R., Werner, K., Ziv, M., & Gross, J.J. (2012). A randomized trial of MBSR versus aerobic exercise for social anxiety disorder. //Journal of Clinical Psychology, 68//(7), 715-731. https://doi.org/10.1002/jclp.21863
Jazaieri, H., Morrison, A.S., Goldin, P.R., & Gross, J.J. (2015). The role of emotion and emotion regulation in social anxiety disorder. //Current Psychiatry Reports, 17//(1), 531. https://doi.org/10.1007/s11920-014-0531-3
Kashdan, T.B., & McKnight, P.E. (2013). Commitment to a purpose in life: An antidote to the suffering by individuals with social anxiety disorder. //Emotion, 13//(6), 1150-1159. https://doi.org/10.1037/a0033278
Kocovski, N.L., Fleming, J.E., & Rector, N.A. (2009). Mindfulness and acceptance-based group therapy for social anxiety disorder: An open trial. //Cognitive and Behavioral Practice, 16//(3), 276-289. https://doi.org/10.1016/j.cbpra.2008.12.004
Kocovski, N.L., Fleming, J.E., Hawley, L.L., Ho, M.H.R., & Antony, M.M. (2015). Mindfulness and acceptance-based group therapy and traditional cognitive behavioral group therapy for social anxiety disorder: Mechanisms of change. //Behaviour Research and Therapy, 70//, 11-22. https://doi.org/10.1016/j.brat.2015.04.005
Kocovski, N.L., Fleming, J.E., Hawley, L.L., Huta, V., & Antony, M.M. (2013). Mindfulness and acceptance-based group therapy versus traditional cognitive behavioral group therapy for social anxiety disorder: A randomized controlled trial. //Behaviour Research and Therapy, 51//(12), 889-898. https://doi.org/10.1016/j.brat.2013.10.007
Koszycki, D., Benger, M., Shlik, J., & Bradwejn, J. (2007). Randomized trial of a meditation-based stress reduction program and cognitive behavior therapy in generalized social anxiety disorder. //Behaviour Research and Therapy, 45//(10), 2518-2526. https://doi.org/10.1016/j.brat.2007.04.011
Norton, A.R., Abbott, M.J., Norberg, M.M., & Hunt, C. (2015). A systematic review of mindfulness and acceptance-based treatments for social anxiety disorder. //Journal of Clinical Psychology, 71//(4), 283-301. https://doi.org/10.1002/jclp.22144
Thurston, M.D., Goldin, P., Heimberg, R., & Gross, J.J. (2017). Self-views in social anxiety disorder: The impact of CBT versus MBSR. //Journal of Anxiety Disorders, 47//, 83-90. https://doi.org/10.1016/j.janxdis.2017.01.001
Werner, K.H., Jazaieri, H., Goldin, P.R., Ziv, M., Heimberg, R.G., & Gross, J.J. (2012). Self-compassion and social anxiety disorder. //Anxiety Stress and Coping, 25//(5), 543-558. https://doi.org/10.1080/10615806.2011.608842
Charoensukmongkol, P. (2016). Contribution of mindfulness to individuals' tendency to believe and share social media content. //International Journal of Technology and Human Interaction, 12//(3), 47-63. https://doi.org/10.4018/IJTHI.2016070104
Charoensukmongkol, P. (2016). Mindful Facebooking: The moderating role of mindfulness on the relationship between social media use intensity at work and burnout. //Journal of Health Psychology, 21//(9), 1966-1980. https://doi.org/10.1177/1359105315569096
Hong, J.C., Tsai, C.R., Fan-Chiang, C., & Hwang, M.Y. (2016). Mindfulness in learning safe sex via social media: Perspectives of personality and experiential value. //Computers in Human Behavior, 64//, 337-346. https://doi.org/10.1016/j.chb.2016.06.033
Johnson, D., & Gardner, J. (2009). Exploring mindlessness as an explanation for the media equation: A study of stereotyping in computer tutorials. //Personal and Ubiquitous Computing, 13//(2), 151-163. https://doi.org/10.1007/s00779-007-0193-9
Kang, M., & Gretzel, U. (2012). Effects of podcast tours on tourist experiences in a national park. //Tourism Management, 33//(2), 440-455. https://doi.org/10.1016/j.tourman.2011.05.005
Timmerman, C.E. (2002). The moderating effect of mindlessness/mindfulness upon media richness and social influence explanations of organizational media use. //Communication Monographs, 69//(2), 111-131. https://doi.org/10.1080/714041708
Aguado, J., Luciano, J.V., Cebolla, A., Serrano-Blanco, A., Soler, J., & Garcia-Campayo, J. (2015). Bifactor analysis and construct validity of the five facet mindfulness questionnaire (FFMQ) in non-clinical Spanish samples. //Frontiers in Psychology, 6//, 404. https://doi.org/10.3389/fpsyg.2015.00404
Feliu-Soler, A., Soler, J., Luciano, J.V., Cebolla, A., Elices, M., Demarzo, M., ... & Garcia-Campayo, J. (2016). Psychometric properties of the Spanish version of the Nonattachment Scale (NAS) and its relationship with mindfulness, decentering, and mental health. //Mindfulness, 7//(5), 1156-1169. https://doi.org/10.1007/s12671-016-0558-0
Rodero, B., Pereira, J.P., Perez-Yus, M.C., Casanueva, B., Serrano-Blanco, A., Ribeiro, M.J.R.D., ... & Garcia-Campayo, J. (2013). Validation of a Spanish version of the psychological inflexibility in pain scale (PIPS) and an evaluation of its relation with acceptance of pain and mindfulness in sample of persons with fibromyalgia. //Health and Quality of Life Outcomes, 11//, 62. https://doi.org/10.1186/1477-7525-11-62
Ruiz, F.J., Odriozola-Gonzalez, P., & Suarez-Falcon, J.C. (2014). The Spanish version of the believability of anxious feelings and thoughts questionnaire. //Psicothema, 26//(3), 308-313. https://doi.org/10.7334/psicothema2013.221
Ruiz, F.J., Suarez-Falcon, J.C., & Riano-Hernandez, D. (2017). Validity evidence of the Spanish version of the automatic thoughts questionnaire-8 in Colombia. //Spanish Journal of Psychology, 20//, E12. https://doi.org/10.1017/sjp.2017.7
Beilby, J.M., Byrnes, M.L., & Yaruss, J.S. (2012). Acceptance and commitment therapy for adults who stutter: Psychosocial adjustment and speech fluency. //Journal of Fluency Disorders, 37//(4), 289-299. https://doi.org/10.1016/j.jfludis.2012.05.003
Boyle, M.P. (2011). Mindfulness training in stuttering therapy: A tutorial for speech-language pathologists. //Journal of Fluency Disorders, 36//(2), 122-129. https://doi.org/10.1016/j.jfludis.2011.04.005
Goodrich, E., Wahbeh, H., Mooney, A., Miller, M., & Oken, B.S. (2015). Teaching mindfulness meditation to adults with severe speech and physical impairments: An exploratory study. //Neuropsychological Rehabilitation, 25//(5),708-732. https://doi.org/10.1080/09602011.2014.970201
Akin, A., & Akin, U. (2017). Does self-compassion predict spiritual experiences of Turkish university students?. //Journal of Religion & Health, 56//(1), 109-117. https://doi.org/10.1007/s10943-015-0138-y
Aldwin, C.M., Park, C.L., Jeong, Y.J., & Nath, R. (2014). Differing pathways between religiousness, spirituality, and health: A self-regulation perspective. //Psychology of Religion and Spirituality, 6//(1), 9-21. https://doi.org/10.1037/a0034416
Amaro, H., Magno-Gatmaytan, C., Melendez, M., Cortes, D.E., Arevalo, S., & Margolin, A. (2010). Addiction Treatment Intervention: An Uncontrolled Prospective Pilot Study of Spiritual Self-Schema Therapy with Latina Women. //Substance Abuse, 31//(2), 117-125. https://doi.org/10.1080/08897071003641602
Ando, M., Morita, T., Akechi, T., Ito, S., Tanaka, M., Ifuku, Y., ... & Nakayama, T. (2009). The efficacy of mindfulness-based meditation therapy on anxiety, depression, and spirituality in Japanese patients with cancer. //Journal of Palliative Medicine, 12//(12), 1091-1094. https://doi.org/10.1089/jpm.2009.0143
Bormann, J.E., Walter, K.H., Leary, S., & Glaser, D. (2017). An internet-delivered mantram repetition program for spiritual well-being and mindfulness for health care workers. //Spirituality in Clinical Practice, 4//(1), 64-73. https://doi.org/10.1037/scp0000118
Brinkerhoff, M.B., & Jacob, J.C. (1999). Mindfulness and quasi-religious meaning systems: An empirical exploration within the context of ecological sustainability and deep ecology. //Journal for the Scientific Study of Religion, 38//(4), 524-542. https://doi.org/10.2307/1387610
Brummans, B.H.J.M., Hwang, J.M., & Cheong, P.H. (2013). Mindful authoring through invocation: Leaders' constitution of a spiritual organization. //Management Communication Quarterly, 27//(3), 346-372. https://doi.org/10.1177/0893318913479176
Burke, A., Lam, C.N., Stussman, B., & Yang, H. (2017). Prevalence and patterns of use of mantra, mindfulness and spiritual meditation among adults in the united states. //BMC Complementary and Alternative Medicine, 17//. https://doi.org/10.1186/s12906-017-1827-8
Bussing, A., Hedtstuck, A., Khalsa, S.B.S., Ostermann, T., & Heusser, P. (2012). Development of specific aspects of spirituality during a 6-month intensive yoga practice. //Evidence-based Complementary and Alternative Medicine//, NA. https://doi.org/10.1155/2012/981523
Carmody, J., Reed, G., Kristeller, J., & Merriam, P. (2008). Mindfulness, spirituality, and health-related symptoms. //Journal of Psychosomatic Research, 64//(4), 393-403. https://doi.org/10.1016/j.jpsychores.2007.06.015
Cobb, E., Kor, A., & Miller, L. (2015). Support for adolescent spirituality: Contributions of religious practice and trait mindfulness. //Journal of Religion & Health, 54//(3), 862-870. https://doi.org/10.1007/s10943-015-0046-1
Coholic, D. (2005). The helpfulness of spiritually influenced group work in developing self-awareness and self-esteem: A preliminary investigation. //Thescientificworldjournal, 5//, 789-802. https://doi.org/10.1100/tsw.2005.99
Da Silva, J.P., & Pereira, A.M.S. (2017). Perceived spirituality, mindfulness and quality of life in psychiatric patients. //Journal of Religion & Health, 56//(1), 130-140. https://doi.org/10.1007/s10943-016-0186-y
Dylan, A., & Smallboy, B. (2016). Land-based spirituality among the Cree of the Mushkegowuk territory. //Journal of Religion and Spirituality in Social Work, 35//(42737), 108-119. https://doi.org/10.1080/15426432.2015.1067589
Einolf, C.J. (2013). Daily spiritual experiences and prosocial behavior. //Social Indicators Research, 110//(1), 71-87. https://doi.org/10.1007/s11205-011-9917-3
Feuille, M., & Pargament, K. (2015). Pain, mindfulness, and spirituality: A randomized controlled trial comparing effects of mindfulness and relaxation on pain-related outcomes in migraineurs. //Journal of Health Psychology, 20//(8). https://doi.org/10.1177/1359105313508459
Fox, J., Gutierrez, D., Haas, J., & Durnford, S. (2016). Centering prayer's effects on psycho-spiritual outcomes: A pilot outcome study. //Mental Health Religion & Culture, 19//(4), 379-392. https://doi.org/10.1080/13674676.2016.1203299
Geary, C., & Rosenthal, S.L. (2011). Sustained impact of mbsr on stress, well-being, and daily spiritual experiences for 1 year in academic health care employees. //Journal of Alternative and Complementary Medicine, 17//(10), 939-944. https://doi.org/10.1089/acm.2010.0335
Grabbe, L., Nguy, S.T., & Higgins, M.K. (2012). Spirituality development for homeless youth: A mindfulness meditation feasibility pilot. //Journal of Child and Family Studies, 21//(6), 925-937. https://doi.org/10.1007/s10826-011-9552-2
Greeson, J.M., Smoski, M.J., Suarez, E.C., Brantley, J.G., Ekblad, A.G., Lynch, T.R., ... & Wolever, R.Q. (2015). Decreased symptoms of depression after mindfulness-based stress reduction: Potential moderating effects of religiosity, spirituality, trait mindfulness, sex, and age. //Journal of Alternative and Complementary Medicine, 21//(3), 166-174. https://doi.org/10.1089/acm.2014.0285
Greeson, J.M., Webber, D.M., Smoski, M.J., Brantley, J.G., Ekblad, A.G., Suarez, E.C., ... & Wolever, R.Q. (2011). Changes in spirituality partly explain health-related quality of life outcomes after mindfulness-based stress reduction. //Journal of Behavioral Medicine, 34//(6), 508-518. https://doi.org/10.1007/s10865-011-9332-x
Hawks, S.R., Hull, M.L., Thalman, R.L., & Richins, P.M. (1995). Review of spiritual health - definition, role, and intervention strategies in health promotion. //American Journal of Health Promotion, 9//(5), 371-378. https://doi.org/10.4278/0890-1171-9.5.371
Hayes, S.C. (2002). Acceptance, mindfulness, and science. //Clinical Psychology-science and Practice, 9//(1), 101-106. https://doi.org/10.1093/clipsy/9.1.101
Hyland, T. (2015). On the contemporary applications of mindfulness: Some implications for education. //Journal of Philosophy of Education, 49//(2), 170-186. https://doi.org/10.1111/1467-9752.12135
Kehoe, N.C. (2017). On an inner journey. //Spirituality in Clinical Practice, 4//(2), 158-160. https://doi.org/10.1037/scp0000135
Kelley, T.M., Pransky, J., & Lambert, E.G. (2017). Realizing improved mindfulness/flow/mental health through understanding three spiritual principles. //Journal of Spirituality in Mental Health, 19//(2), 133-150. https://doi.org/10.1080/19349637.2016.1215855
Kernochan, R.A., McCormick, D.W., & White, J.A. (2007). Spirituality and the Management Teacher - Reflections of Three Buddhists on Compassion, Mindfulness, and Selflessness in the Classroom. //Journal of Management inquiry, 16//(1), 61-75. https://doi.org/10.1177/1056492606297545
Kohls, N., Walach, H., & Lewith, G. (2009). The impact of positive and negative spiritual experiences on distress and the moderating role of mindfulness. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 31//(3), 357-374. https://doi.org/10.1163/008467209X12524724282032
Koren, M.E., & Purohit, S. (2014). Interventional studies to support the spiritual self-care of health care practitioners an integrative review of the literature. //Holistic Nursing Practice, 28//(5), 291-300. https://doi.org/10.1097/HNP.0000000000000044
Labelle, L.E., Lawlor-Savage, L., Campbell, T.S., Faris, P., & Carlson, L.E. (2015). Does self-report mindfulness mediate the effect of Mindfulness-Based Stress Reduction (MBSR) on spirituality and posttraumatic growth in cancer patients?. //Journal of Positive Psychology, 10//(2), 153-166. https://doi.org/10.1080/17439760.2014.927902
Leigh, J., Bowen, S., & Marlatt, G.A. (2005). Spirituality, mindfulness and substance abuse. //Addictive Behaviors, 30//(7), 1335-1341. https://doi.org/10.1016/j.addbeh.2005.01.010
Lomas, T. (2017). Recontextualizing mindfulness: Theravada Buddhist perspectives on the ethical and spiritual dimensions of awareness. //Psychology of Religion and Spirituality, 9//(2), 209-219. https://doi.org/10.1037/rel0000080
Lubelska, A. (2012). Peaceful schools. //International Journal of Childrens Spirituality, 17//(2), 187-191. https://doi.org/10.1080/1364436X.2012.727501
Lukoff, D., & Strozzi-Heckler, R. (2017). Aikido: A martial art with mindfulness, somatic, relational, and spiritual benefits for veterans. //Spirituality in Clinical Practice, 4//(2), 81-91. https://doi.org/10.1037/scp0000134
Maaske, J. (2002). Spirituality and mindfulness. //Psychoanalytic Psychology, 19//(4), 777-781. https://doi.org/10.1037//0736-9735.19.4.777
Maparyan, L. (2016). Seeds of Light, Flowers of Power, Fruits of Change Ecowomanism as Spiritualized Ecological Praxis. //Worldviews: Global Religions, Culture and Ecology, 20//(1), 48-63. https://doi.org/10.1163/15685357-02001005
McFadden, S.H. (2008). Mindfulness, vulnerability, and love: Spiritual lessons from frail elders, earnest young pilgrims, and middle aged rockers. //Journal of Aging Studies, 22//(2), 132-139. https://doi.org/10.1016/j.jaging.2007.12.013
Melendez, M., Cortes, D.E., & Amaro, H. (2012). Acceptability and cultural fit of spiritual self-schema therapy for Puerto Rican women with addiction disorders: Qualitative findings. //Women & Therapy, 35//(42737), 106-119. https://doi.org/10.1080/02703149.2012.634733
Moritz, S., Quan, H., Rickhi, B., Liu, M.F., Angen, M., Vintila, R., ... & Toews, J. (2006). A home study-based spirituality education program decreases emotional distress and increases quality of life - a randomized, controlled trial. //Alternative Therapies in Health and Medicine, 12//(6), 26-35. https://www.ncbi.nlm.nih.gov/pubmed/17131979
Moss, A.S., Wintering, N., Roggenkamp, H., Khalsa, D.S., Waldman, M.R., Monti, D., ... & Newberg, A.B. (2012). Effects of an 8-week meditation program on mood and anxiety in patients with memory loss. //Journal of Alternative and Complementary Medicine, 18//(1), 48-53. https://doi.org/10.1089/acm.2011.0051
Oman, D., & Bormann, J.E. (2015). Mantram repetition fosters self-efficacy in veterans for managing PTSD: A randomized trial. //Psychology of Religion and Spirituality, 7//(1), 34-45. https://doi.org/10.1037/a0037994
Pandya, S.P. (2015). Including spirituality in the social work curriculum: Perspectives from South Asia. //Social Work education, 34//(6), 729-746. https://doi.org/10.1080/02615479.2015.1043259
Pandya, S.P. (2016). Hospital social work and spirituality: Views of medical social workers. //Social Work in public health, 31//(7), 700-710. https://doi.org/10.1080/19371918.2016.1188740
Pandya, S.P. (2017). Teachers' views on spirituality for adolescents in high schools across countries. //Pastoral Care in Education, 35//(2), 88-110. https://doi.org/10.1080/02643944.2017.1290132
Parameshwaran, R. (2015). Theory and practice of chaplain's spiritual care process: A psychiatrist's experiences of chaplaincy and conceptualizing trans-personal model of mindfulness. //Indian Journal of Psychiatry, 57//(1), 21-29. https://doi.org/10.4103/0019-5545.148511
Peteet, J.R., & Balboni, M.J. (2013). Spirituality and religion in oncology. //CA: A Cancer Journal for Clinicians, 63//(4), 280-289. https://doi.org/10.3322/caac.21187
Phillips, R.E., Cheng, C.M., Pargament, K.I., University, C.O.G.S., Colvin, S.D., Abarr, A.N., ... & Reed, A.S. (2009). Spiritual Coping in American Buddhists: An Exploratory Study. //International Journal for the Psychology of Religion, 19//(4), 231-243. https://doi.org/10.1080/10508610903143263
Plante, T.G. (2016). Beyond mindfulness expanding integration of spirituality and religion into psychotherapy. //Open Theology, 2//(1), 135-144. https://doi.org/10.1515/opth-2016-0011
Plante, T.G. (2017). The 4 Ds: Using Ignatian spirituality in secular psychotherapy and beyond. //Spirituality in Clinical Practice, 4//(1), 74-79. https://doi.org/10.1037/scp0000122
Rubinart, M., Moynihan, T., & Deus, J. (2016). Using the collaborative inquiry method to explore the Jesus prayer. //Spirituality in Clinical Practice, 3//(2), 139-151. https://doi.org/10.1037/scp0000104
Schaub, R. (2013). Spirituality and the health professional. //Substance Use & Misuse, 48//(12), 1174-1179. https://doi.org/10.3109/10826084.2013.803883
Scherwitz, L., Pullman, M., McHenry, P., Gao, B., & Ostaseski, F. (2006). A contemplative care approach to training and supporting hospice volunteers: A prospective study of spiritual practice, well-being, and fear of death. //Explore: The Journal of Science and Healing, 2//(4), 304-313. https://doi.org/10.1016/j.explore.2006.04.001
Schredl, M., Stumbrys, T., & Erlacher, D. (2016). Dream recall, nightmare frequency, and spirituality. //Dreaming, 26//(1), 1-9. https://doi.org/10.1037/drm0000015
Shonin, E., & Van Gordon, W. (2015). Managers' experiences of meditation awareness training. //Mindfulness, 6//(4), 899-909. https://doi.org/10.1007/s12671-014-0334-y
Shorey, R.C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2015). Dispositional mindfulness, spirituality, and substance use in predicting depressive symptoms in a treatment-seeking sample. //Journal of Clinical Psychology, 71//(4), 334-345. https://doi.org/10.1002/jclp.22139
Sperry, L., & Stoupas, G. (2017). Incorporating mindfulness in secular and spiritually oriented psychotherapy: Ethical concerns. //Spirituality in Clinical Practice, 4//(2), 152-154. https://doi.org/10.1037/scp0000132
Stevens, B.A. (2016). Mindfulness: A positive spirituality for ageing?. //Australasian Journal on Ageing, 35//(3), 156-158. https://doi.org/10.1111/ajag.12346
Temme, L.J., & Kopak, A.M. (2016). Maximizing recovery through the promotion of mindfulness and spirituality. //Journal of Religion and Spirituality in Social Work, 35//(42737), 41-56. https://doi.org/10.1080/15426432.2015.1067591
Trama, S., & Modi, S. (2016). Impact of self-enhancement on spiritually non-oriented young adults. //Indian Journal of Psychological Science, 6//(2), 54-64. http://www.napsindia.org/wp-content/uploads/2017/05/07-Sangeeta-trama-min.pdf
van Rensburg, A.B.R.J., Poggenpoel, M., Myburgh, C.P.H., & Szabo, C.P. (2012). Experience and views of academic psychiatrists on the role of spirituality in south african specialist psychiatry. //Revista De Psiquiatria Clinica, 39//(4), 122-129. http://dx.doi.org/10.1590/S0101-60832012000400002
Wachholtz, A.B., Malone, C.D., & Pargament, K.I. (2017). Effect of different meditation types on migraine headache medication use. //Behavioral Medicine, 43//(1), 1-8. https://doi.org/10.1080/08964289.2015.1024601
Walach, H., Kohls, N., von Stillfried, N., Hinterberger, T., & Schmidt, S. (2009). Spirituality: The legacy of parapsychology. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 31//(3), 277-308. https://doi.org/10.1163/008467209X12499946199407
Wurtzen, H., Dalton, S.O., Christensen, J., Andersen, K.K., Elsass, P., Flyger, H.L., ... & Johansen, C. (2015). Effect of mindfulness-based stress reduction on somatic symptoms, distress, mindfulness and spiritual wellbeing in women with breast cancer: Results of a randomized controlled trial. //Acta Oncologica, 54//(5), 712-719. https://doi.org/10.3109/0284186X.2014.997371
Yang, K.P., & Wu, X.J. (2009). Spiritual Intelligence of Nurses in Two Chinese Social Systems: A cross-sectional comparison study. //Journal of Nursing Research, 17//(3), 189-198. https://doi.org/10.1097/JNR.0b013e3181b2556c
Aherne, C., Moran, A.P., & Lonsdale, C. (2011). The effect of mindfulness training on athletes' flow: An initial investigation. //Sport Psychologist, 25//(2), 177-189. https://doi.org/10.1123/tsp.25.2.177
Asztalos, M., Wijndaele, K., De Bourdeaudhuij, I., Philippaerts, R., Matton, L., Duvigneaud, N., ... & Cardon, G. (2012). Sport participation and stress among women and men. //Psychology of Sport and Exercise, 13//(4), 466-483. https://doi.org/10.1016/j.psychsport.2012.01.003
Bernier, M., Thienot, E., Pelosse, E., & Fournier, J.F. (2014). Effects and underlying processes of a mindfulness-based intervention with young elite figure skaters: Two case studies. //Sport Psychologist, 28//(3), 302-315. https://doi.org/10.1123/tsp.2013-0006
Bernier, M., Trottier, C., Thienot, E., & Fournier, J. (2016). An investigation of attentional foci and their temporal patterns: A naturalistic study in expert figure skaters. //Sport Psychologist, 30//(3), 256-266. https://doi.org/10.1123/tsp.2013-0076
Blecharz, J., Luszczynska, A., Scholz, U., Schwarzer, R., Siekanska, M., & Cieslak, R. (2014). Predicting performance and performance satisfaction: Mindfulness and beliefs about the ability to deal with social barriers in sport. //Anxiety Stress and Coping, 27//(3), 270-287. https://doi.org/10.1080/10615806.2013.839989
Bortoli, L., Bertollo, M., Hanin, Y., & Robazza, C. (2012). Striving for excellence: A multi-action plan intervention model for shooters. //Psychology of Sport and Exercise, 13//(5), 693-701. https://doi.org/10.1016/j.psychsport.2012.04.006
Briegel-Jones, R.M.H., Knowles, Z., Eubank, M.R., Giannoulatos, K., & Elliot, D. (2013). A preliminary investigation into the effect of yoga practice on mindfulness and flow in elite youth swimmers. //Sport Psychologist, 27//(4), 349-359. https://doi.org/10.1123/tsp.27.4.349
Buscombe, R.M., Bottoms, L., Andersson, H., Smyth, A.M., Edwards, S.D., & Edwards, D.J. (2014). Neurophysiological, psychological, sport and health dimensions of three meditation techniques. //South African Journal for Research in Sport Physical Education and Recreation, 36//(2), 15-32. https://www.ajol.info/index.php/sajrs/article/view/108771
Chen, L.H., Wu, C.H., & Chang, J.H. (2017). Gratitude and athletes' life satisfaction: The moderating role of mindfulness. //Journal of Happiness Studies, 18//(4), 1147-1159. https://doi.org/10.1007/s10902-016-9764-7
Denny, K., & Steiner, H. (2009). External and internal factors influencing happiness in elite collegiate athletes. //Child Psychiatry & Human Development, 40//(1), 55-72. https://doi.org/10.1007/s10578-008-0111-z
Fazli, Z., & Ghahari, S. (2017). The relationship between mindfulness and psychological well-being and coping strategies with stress among female basketball athletes in Tehran. //British Journal of Pharmaceutical Research, 17//(2). https://doi.org/10.9734/BJPR/2017/34105
Fereira-Vorkapic, C., Feitoza, J.P., Martins Dantas, E.H., & Bastos, A. (2017). The impact of yoga-based interventions on Jiu-jitsu wrestlers' psychological profile: A pilot study. //Gazzetta Medica Italiana Archivio per le Scienze Mediche, 176//(42924), 390-401. https://doi.org/10.23736/S0393-3660.17.03398-8
Gardner, F.L., & Moore, Z.E. (2004). A mindfulness-acceptance-commitment-based approach to athletic performance enhancement: Theoretical considerations. //Behavior Therapy, 35//(4), 707-723. https://doi.org/10.1016/S0005-7894(04)80016-9
Gardner, F.L., & Moore, Z.E. (2012). Mindfulness and acceptance models in sport psychology: A decade of basic and applied scientific advancements. //Canadian Psychology-Psychologie Canadienne, 53//(4), 309-318. https://doi.org/10.1037/a0030220
Gardner, F.L., & Moore, Z.E. (2017). Mindfulness-based and acceptance-based interventions in sport and performance contexts. //Current Opinion in Psychology, 16//, 180-184. https://doi.org/10.1016/j.copsyc.2017.06.001
Gustafsson, H., Davis, P., Skoog, T., Kentta, G., & Haberl, P. (2015). Mindfulness and its relationship with perceived stress, affect, and burnout in elite junior athletes. //Journal of Clinical Sport Psychology, 9//(3), 263-281. https://doi.org/10.1123/jcsp.2014-0051
Haase, L., May, A.C., Falahpour, M., Isakovic, S., Simmons, A.N., Hickman, S.D., ... & Paulus, M.P. (2015). A pilot study investigating changes in neural processing after mindfulness training in elite athletes. //Frontiers in Behavioral Neuroscience, 9//,229. https://doi.org/10.3389/fnbeh.2015.00229
Ivarsson, A., Johnson, U., Andersen, M.B., Fallby, J., & Altemyr, M. (2015). It pays to pay attention: A mindfulness-based program for injury prevention with soccer players. //Journal of Applied Sport Psychology, 27//(3), 319-334. https://doi.org/10.1080/10413200.2015.1008072
Josefsson, T., Ivarsson, A., Lindwall, M., Gustafsson, H., Stenling, A., Boroy, J., ... & Falkevik, E. (2017). Mindfulness mechanisms in sports: Mediating effects of rumination and emotion regulation on sport-specific coping. //Mindfulness, 8//(5), 1354-1363. https://doi.org/10.1007/s12671-017-0711-4
Jouper, J., & Gustafsson, H. (2013). Mindful recovery: A case study of a burned-out elite shooter. //Sport Psychologist, 27//(1), 92-102. https://doi.org/10.1123/tsp.27.1.92
Kaiseler, M., Poolton, J.M., Backhouse, S.H., & Stanger, N. (2017). The relationship between mindfulness and life stress in student-athletes: The mediating role of coping effectiveness and decision rumination. //Sport Psychologist, 31//(3), 288-298. https://doi.org/10.1123/tsp.2016-0083
Kee, Y.H., & Wang, C.K.J. (2008). Relationships between mindfulness, flow dispositions and mental skills adoption: A cluster analytic approach. //Psychology of Sport and Exercise, 9//(4), 393-411. https://doi.org/10.1016/j.psychsport.2007.07.001
Klockare, E., Gustafsson, H., Davis, P., & Lundqvist, C. (2015). Track and field athletes' experiences and perceived effects of flotation-REST. An interpretative phenomenological analysis. //International Journal of Sport Psychology, 46//(5), 409-428.https://doi.org/10.7352/IJSP.2015.46.409
Martin, C., & Ergas, O. (2016). Mindfulness, sport and the body: The justification of physical education revisited. //Sport Ethics and Philosophy, 10//(2), 161-174. https://doi.org/10.1080/17511321.2016.1166151
Moran, A. (2012). Thinking in action: Some insights from cognitive sport psychology. //Thinking Skills and Creativity, 7//(2), 85-92. https://doi.org/10.1016/j.tsc.2012.03.005
Mosewich, A.D., Crocker, P.R.E., Kowalski, K.C., & DeLongis, A. (2013). Applying self-compassion in sport: An intervention with women athletes. //Journal of Sport & Exercise Psychology, 35//(5), 514-524. https://doi.org/10.1123/jsep.35.5.514
Nolte, K., Steyn, B.J.M., Kruger, P.E., & Fletcher, L. (2016). Mindfulness, psychological well-being and doping in talented young high-school athletes. //South African Journal for Research in Sport Physical Education and Recreation, 38//(2), 153-165. https://www.ajol.info/index.php/sajrs/article/view/141767
Richard, V., Halliwell, W., & Tenenbaum, G. (2017). Effects of an improvisation intervention on elite figure skaters' performance, self esteem, creativity, and mindfulness skills. //Sport Psychologist, 31//(3), 275-287. https://doi.org/10.1123/tsp.2016-0059
Rothlin, P., Horvath, S., Birrer, D., & Holtforth, M.G. (2016). Mindfulness promotes the ability to deliver performance in highly demanding situations. //Mindfulness, 7//(3), 727-733. https://doi.org/10.1007/s12671-016-0512-1
Scott-Hamilton, J., & Schutte, N.S. (2016). The role of adherence in the effects of a mindfulness intervention for competitive athletes: Changes in mindfulness, flow, pessimism, and anxiety. //Journal of Clinical Sport Psychology, 10//(2), 99-117. https://doi.org/10.1123/jcsp.2015-0020
Scott-Hamilton, J., Schutte, N.S., & Brown, R.F. (2016). Effects of a mindfulness intervention on sports-anxiety, pessimism, and flow in competitive cyclists. //Applied Psychology: Health and Well-Being, 8//(1), 85-103. https://doi.org/10.1111/aphw.12063
Scott-Hamilton, J., Schutte, N.S., Moyle, G.M., & Brown, R.E. (2016). The relationships between mindfulness, sport anxiety, pessimistic attributions and flow in competitive cyclists. //International Journal of Sport Psychology, 47//(2), 103-121. https://doi.org/10.7352/IJSP.2016.47.103
Thienot, E., Jackson, B., Dimmock, J., Grove, J.R., Bernier, M., & Fournier, J.F. (2014). Development and preliminary validation of the Mindfulness Inventory for Sport. //Psychology of Sport and Exercise, 15//(1), 72-80. https://doi.org/10.1016/j.psychsport.2013.10.003
Vidic, Z., Martin, M.S., & Oxhandler, R. (2017). Mindfulness intervention with a US women's NCAA Division I basketball team: Impact on stress, athletic coping skills and perceptions of intervention. //Sport Psychologist, 31//(2), 147-159. https://doi.org/10.1123/tsp.2016-0077
Worthen, D., & Luiselli, J.K. (2016). Attitudes and opinions of female high school athletes about sports-focused mindfulness training and practices. //Journal of Clinical Sport Psychology, 10//(3), 177-191. https://doi.org/10.1123/jcsp.2016-0005
Yook, Y.S., Kang, S.J., & Park, I. (2017). Effects of physical activity intervention combining a new sport and mindfulness yoga on psychological characteristics in adolescents. //International Journal of Sport and Exercise Psychology, 15//(2), 109-117. https://doi.org/10.1080/1612197X.2015.1069878
Zhang, C.Q., Chung, P.K., & Si, G.Y. (2017). Assessing acceptance in mindfulness with direct-worded items: The development and initial validation of the Athlete Mindfulness Questionnaire. //Journal of Sport and Health Science, 6//(3), 311-320. https://doi.org/10.1016/j.jshs.2015.09.010
Zhang, C.Q., Chung, P.K., Si, G.Y., & Gucciardi, D.F. (2016). Measuring decentering as a unidimensional construct: The development and initial validation of the Decentering Scale for Sport. //Psychology of Sport and Exercise, 24//, 147-158. https://doi.org/10.1016/j.psychsport.2016.02.006
Zhang, C.Q., Chung, P.K., Si, G.Y., & Liu, J.D. (2014). Psychometric properties of the Acceptance and Action Questionnaire-II for Chinese college students and elite Chinese athletes. //Measurement and Evaluation in Counseling and Development, 47//(4), 256-270. https://doi.org/10.1177/0748175614538064
Zhang, C.Q., Si, G.Y., Chung, P.K., & Gucciardi, D.F. (2016). Mindfulness and burnout in elite junior athletes: The mediating role of experiential avoidance. //Journal of Applied Sport Psychology, 28//(4), 437-451. https://doi.org/10.1080/10413200.2016.1162223
Belling, C. (2012). A happy doctor's escape from narrative: Reflection in Saturday. //Medical Humanities, 38//(1), 2-6. https://doi.org/10.1136/medhum-2011-010129
Bennett, E.V., Clarke, L.H., Kowalski, K.C., & Crocker, P.R.E. (2017). From pleasure and pride to the fear of decline: Exploring the emotions in older women's physical activity narratives. //Psychology of Sport and Exercise, 33//, 113-122. https://doi.org/10.1016/j.psychsport.2017.08.012
Berry, K., & Patti, C.J. (2015). Lost in narration: Applying autoethnography. //Journal of Applied Communication Research, 43//(2), 263-268. https://doi.org/10.1080/00909882.2015.1019548
Boczkowska, M.M., & Zieba, M. (2016). Preliminary study of religious, spiritual and mystical experiences. Thematic analysis of poles adult's narratives. //Current Issues in Personality Psychology, 4//(3), 167-176. https://doi.org/10.5114/CIPP.2016.61484
Brody, L.R., & Park, S.H. (2004). Narratives, mindfulness, and the implicit audience. //Clinical Psychology: Science and Practice, 11//(2), 147-154. https://doi.org/10.1093/clipsy/bph065
Connelly, J.E. (2005). Narrative possibilities - using mindfulness in clinical practice. //Perspectives in Biology and Medicine, 48//(1), 84-94. https://doi.org/10.1353/pbm.2005.0006
Keiser, D.L., & Adarkar, A. (2015). Buddhas still in classrooms: Where is the mustard seed?. //Reflective Practice, 16//(6), NA-848. https://doi.org/10.1080/14623943.2015.1095732
Liden, E., Bjork-Bramberg, E., & Svensson, S. (2015). The meaning of learning to live with medically unexplained symptoms as narrated by patients in primary care: A phenomenological-hermeneutic study. //International Journal of Qualitative Studies on Health and Well-being, 10//, 27191. https://doi.org/10.3402/qhw.v10.27191
Lynn, R., & Mensinga, J. (2015). Social workers' narratives of integrating mindfulness into practice. //Journal of Social Work practice, 29//(3), 255-270. https://doi.org/10.1080/02650533.2015.1035237
Moore, S.D., & Brody, L.R. (2009). Linguistic predictors of mindfulness in written self-disclosure narratives. //Journal of Language and Social Psychology, 28//(3), 281-296. https://doi.org/10.1177/0261927X09335264
Moore, S.D., Brody, L.R., & Dierberger, A.E. (2009). Mindfulness and experiential avoidance as predictors and outcomes of the narrative emotional disclosure task. //Journal of Clinical Psychology, 65//(9), 971-988. https://doi.org/10.1002/jclp.20600
Ridge, D., Williams, I., Anderson, J., & Elford, J. (2008). Like a prayer: The role of spirituality and religion for people living with HIV in the UK. //Sociology of Health & Illness, 30//(3), 413-428. https://doi.org/10.1111/j.1467-9566.2007.01062.x
Vega, B.R., Perez, C.B., PalaoTarrero, A., & Liria, A.F. (2014). Mindfulness-based narrative therapy for depression in cancer patients. //Clinical Psychology & Psychotherapy, 21//(5), 411-419. https://doi.org/10.1002/cpp.1847
Wahler, R.G., Singh, J., & Singh, N.N. (2009). Parents' autobiographical narratives: Setting events for their contemplation of mindful changes. //Journal of Child and Family Studies, 18//(5), 520-529. https://doi.org/10.1007/s10826-008-9254-6
Brown, K.W., Kasser, T., Ryan, R.M., Linley, P.A., & Orzech, K. (2009). When what one has is enough: Mindfulness, financial desire discrepancy, and subjective well-being. //Journal of Research in Personality, 43//(5), 727-736. https://doi.org/10.1016/j.jrp.2009.07.002
Hanley, A., Warner, A., & Garland, E.L. (2015). Associations between mindfulness, psychological well-being, and subjective well-being with respect to contemplative practice. //Journal of Happiness Studies, 16//(6), 1423-1436. https://doi.org/10.1007/s10902-014-9569-5
Iani, L., Lauriola, M., Cafaro, V., & Didonna, F. (2017). Dimensions of mindfulness and their relations with psychological well-being and neuroticism. //Mindfulness, 8//(3), 664-676. https://doi.org/10.1007/s12671-016-0645-2
Jacob, J., Jovic, E., & Brinkerhoff, M.B. (2009). Personal and planetary well-being: Mindfulness meditation, pro-environmental behavior and personal quality of life in a survey from the social justice and ecological sustainability movement. //Social Indicators Research, 93//(2), 275-294. https://doi.org/10.1007/s11205-008-9308-6
Jacob, J.C., & Brinkerhoff, M.B. (1999). Mindfulness and subjective well-being in the sustainability movement: A further elaboration of multiple discrepancies theory. //Social Indicators Research, 46//(3), 341-368. https://doi.org/10.1023/A:1006941403481
Ryan, R.M., Huta, V., & Deci, E.L. (2008). Living well: A self-determination theory perspective on Eudaimonia. //Journal of Happiness Studies, 9//(1), 139-170. https://doi.org/10.1007/s10902-006-9023-4
Schitter, A.M., Nedeljkovic, M., Ausfeld-Hafter, B., & Fleckenstein, J. (2016). Changes in self-reported symptoms of depression and physical well-being in healthy individuals following a Taiji beginner course - Results of a randomized controlled trial. //Brain and Behavior, 6//(4), e00429. https://doi.org/10.1002/brb3.429
Wenzel, M., von Versen, C., Hirschmuller, S., & Kubiak, T. (2015). Curb your neuroticism - mindfulness mediates the link between neuroticism and subjective well-being. //Personality and Individual Differences, 80//, 68-75. https://doi.org/10.1016/j.paid.2015.02.020
Amaro, H., Spear, S., Vallejo, Z., Conron, K., & Black, D.S. (2014). Feasibility, acceptability, and preliminary outcomes of a mindfulness-based relapse prevention intervention for culturally-diverse, low-income women in substance use disorder treatment. //Substance Use & Misuse, 49//(5), 547-559. https://doi.org/10.3109/10826084.2013.852587
Arevalo, S., Prado, G., & Amaro, H. (2008). Spirituality, sense of coherence, and coping responses in women receiving treatment for alcohol and drug addiction. //Evaluation and Program Planning, 31//(1), 113-123. https://doi.org/10.1016/j.evalprogplan.2007.05.009
Barrett, K., & Chang, Y.P. (2016). Behavioral interventions targeting chronic pain, depression, and substance use disorder in primary care. //Journal of Nursing Scholarship, 48//(4), 345-353. https://doi.org/10.1111/jnu.12213
Belzer, F., Schmidt, S., Lucius-Hoene, G., Schneider, J.F., Orellana-Rios, C.L., & Sauer, S. (2013). Challenging the construct validity of mindfulness assessment-a cognitive interview study of the Freiburg mindfulness inventory. //Mindfulness, 4//(1), 33-44. https://doi.org/10.1007/s12671-012-0165-7
Biseul, I., Icick, R., Seguin, P., Bellivier, F., & Scott, J. (2017). Feasibility and acceptability of the "habit' group programme for comorbid bipolar and alcohol and substance use disorders. //Clinical Psychology & Psychotherapy, 24//(4), 887-898. https://doi.org/10.1002/cpp.2053
Bolt, K.L. (2016). Descending from the summit: Aftercare planning for adolescents in wilderness therapy. //Contemporary Family Therapy, 38//(1), 62-74. https://doi.org/10.1007/s10591-016-9375-9
Bootzin, R.R., & Stevens, S.J. (2005). Adolescents, substance abuse, and the treatment of insomnia and daytime sleepiness. //Clinical Psychology Review, 25//(5), 629-644. https://doi.org/10.1016/j.cpr.2005.04.007
Bowen, S., & Enkema, M.C. (2014). Relationship between dispositional mindfulness and substance use: Findings from a clinical sample. //Addictive Behaviors, 39//(3), 532-537. https://doi.org/10.1016/j.addbeh.2013.10.026
Bowen, S., & Vieten, C. (2012). A compassionate approach to the treatment of addictive behaviors: The contributions of Alan Marlatt to the field of mindfulness-based interventions. //Addiction Research & Theory, 20//(3), 243-249. https://doi.org/10.3109/16066359.2011.647132
Bowen, S., Chawla, N., Collins, S.E., Witkiewitz, K., Hsu, S., Grow, J., ... & Marlatt, A. (2009). Mindfulness-based relapse prevention for substance use disorders: A pilot efficacy trial. //Substance Abuse, 30//(4), 295-305. https://doi.org/10.1080/08897070903250084
Bowen, S., Witkiewitz, K., Clifasefi, S.L., Grow, J., Chawla, N., Hsu, S.H., ... & Larimer, M.E. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders. //JAMA Psychiatry, 71//(5), 547-556. https://doi.org/10.1001/jamapsychiatry.2013.4546
Bowen, S., Witkiewitz, K., Dillworth, T.M., & Marlatt, G.A. (2007). The role of thought suppression in the relationship between mindfulness meditation and alcohol use. //Addictive Behaviors, 32//(10), 2324-2328. https://doi.org/10.1016/j.addbeh.2007.01.025
Bowen, S., Witkiewitz, K., Dillworth, T.M., Chawla, N., Simpson, T.L., Ostafin, B.D., ... & Marlatt, G.A. (2006). Mindfulness meditation and substance use in an incarcerated population. //Psychology of Addictive Behaviors, 20//(3), 343-347. https://doi.org/10.1037/0893-164X.20.3.343
Brewer, J.A., Bowen, S., Smith, J.T., Marlatt, G.A., & Potenza, M.N. (2010). Mindfulness-based treatments for co-occurring depression and substance use disorders: What can we learn from the brain?. //Addiction, 105//(10), 1698-1706. https://doi.org/10.1111/j.1360-0443.2009.02890.x
Brewer, J.A., Sinha, R., Chen, J.A., Michalsen, R.N., Babuscio, T.A., Nich, C., ... & Rounsaville, B.J. (2009). Mindfulness training and stress reactivity in substance abuse: Results from a randomized, controlled stage i pilot study. //Substance Abuse, 30//(4), 306-317. https://doi.org/10.1080/08897070903250241
Britton, W.B., Bootzin, R.R., Cousins, J.C., Hasler, B.P., Peck, T., & Shapiro, S.L. (2010). The contribution of mindfulness practice to a multicomponent behavioral sleep intervention following substance abuse treatment in adolescents: A treatment-development study. //Substance Abuse, 31//(2), 86-97. https://doi.org/10.1080/08897071003641297
Bruggeman-Everts, F.Z., Van der Lee, M.L., Van't Hooft, E.F.M., & Nyklicek, I. (2017). Validation of the Dutch Freiburg Mindfulness Inventory in Patients With Medical Illness. //Sage Open, 7//(2). https://doi.org/10.1177/2158244017705936
Butzer, B., LoRusso, A., Shin, S.H., & Khalsa, S.B.S. (2017). Evaluation of yoga for preventing adolescent substance use risk factors in a middle school setting: A preliminary group-randomized controlled trial. //Journal of Youth and Adolescence, 46//(3), 603-632. https://doi.org/10.1007/s10964-016-0513-3
Chawla, N., Collins, S., Bowen, S., Hsu, S., Grow, J., Douglass, A., ... & Marlatt, G.A. (2010). The mindfulness-based relapse prevention adherence and competence scale: Development, interrater reliability, and validity. //Psychotherapy Research, 20//(4), 388-397. https://doi.org/10.1080/10503300903544257
Chen, S.Y., & Zhou, R.L. (2014). Validation of a Chinese Version of the Freiburg Mindfulness Inventory–Short Version. //Mindfulness, 5//(5), 529-535. https://doi.org/10.1007/s12671-013-0208-8
Collins, S.E., Chawla, N., Hsu, S.H., Grow, J., Otto, J.M., & Marlatt, G.A. (2009). Language-based measures of mindfulness: Initial validity and clinical utility. //Psychology of Addictive Behaviors, 23//(4), 743-749. https://doi.org/10.1037/a0017579
Dakwar, E., & Levin, F.R. (2009). The emerging role of meditation in addressing psychiatric illness, with a focus on substance use disorders. //Harvard Review of Psychiatry, 17//(4), 254-267. https://doi.org/10.1080/10673220903149135
Dakwar, E., & Levin, F.R. (2013). Individual mindfulness-based psychotherapy for cannabis or cocaine dependence: A pilot feasibility trial. //American Journal on Addictions, 22//(6), 521-526. https://doi.org/10.1111/j.1521-0391.2013.12036.x
Dakwar, E., Mariani, J.P., & Levin, F.R. (2011). Mindfulness impairments in individuals seeking treatment for substance use disorders. //American Journal of Drug and Alcohol Abuse, 37//(3), 165-169. https://doi.org/10.3109/00952990.2011.553978
DeWall, C.N., Pond, R.S., Carter, E.C., McCullough, M.E., Lambert, N.M., Fincham, F.D., ... & Nezlek, J.B. (2014). Explaining the relationship between religiousness and substance use: Self-control matters. //Journal of Personality and social psychology, 107//(2), 339-351. https://doi.org/10.1037/a0036853
di Pierdomenico, E.A., Kadziolka, M., & Miller, C.J. (2017). Mindfulness correlates with stress and coping in university students. //Canadian Journal of Higher Education, 47//(2), 121-134. https://www.mentalhealthacademy.net/journal_archive/ucp094.pdf
Edwards, E.R., Cohen, M.G., & Wupperman, P. (2016). Substance-treatment professionals' perceived barriers to incorporating mindfulness into treatment. //Substance Use & Misuse, 51//(14), 1930-1935. https://doi.org/10.1080/10826084.2016.1200622
Eisenlohr-Moul, T.A., Walsh, E.C., Charnigo, R.J., Lynam, D.R., & Baer, R.A. (2012). The "what" and the "how" of dispositional mindfulness: Using interactions among subscales of the five-facet mindfulness questionnaire to understand its relation to substance use. //Assessment, 19//(3), 276-286. https://doi.org/10.1177/1073191112446658
Elmquist, J., Shorey, R.C., Anderson, S., & Stuart, G.L. (2016). Are borderline personality symptoms associated with compulsive sexual behaviors among women in treatment for substance use disorders? an exploratory study. //Journal of Clinical Psychology, 72//(10), 1077-1087. https://doi.org/10.1002/jclp.22310
Elmquist, J., Shorey, R.C., Anderson, S.E., & Stuart, G.L. (2017). A preliminary investigation of the relationship between dispositional mindfulness and eating disorder symptoms among men in residential substance use treatment. //Addiction Research & Theory, 25//(1), 67-73. https://doi.org/10.1080/16066359.2016.1198475
Enkema, M.C., & Bowen, S. (2017). Mindfulness practice moderates the relationship between craving and substance use in a clinical sample. //Drug and Alcohol Dependence, 179//, 1-7. https://doi.org/10.1016/j.drugalcdep.2017.05.036
Glasner, S., Mooney, L.J., Ang, A., Garneau, H.C., Hartwell, E., Brecht, M.L., ... & Rawson, R.A. (2017). Mindfulness-based relapse prevention for stimulant dependent adults: A pilot randomized clinical trial. //Mindfulness, 8//(1), 126-135. https://doi.org/10.1007/s12671-016-0586-9
Grow, J.C., Collins, S.E., Harrop, E.N., & Marlatt, G.A. (2015). Enactment of home practice following mindfulness-based relapse prevention and its association with substance-use outcomes. //Addictive Behaviors, 40//, 16-20. https://doi.org/10.1016/j.addbeh.2014.07.030
Halkjelsvik, T. (2015). Substance use disinhibition associated with economically rational decisions to quit a boring task. //Personality and Individual Differences, 80//, 101-106. https://doi.org/10.1016/j.paid.2015.02.028
Heidenreich, T., Strohle, G., & Michalak, J. (2006). Mindfulness: Conceptual aspects and results of the Freiburg mindfulness inventory. //Verhaltenstherapie, 16//(1), 33-40. https://doi.org/10.1159/000091521
Hsu, S.H., Collins, S.E., & Marlatt, G.A. (2013). Examining psychometric properties of distress tolerance and its moderation of mindfulness-based relapse prevention effects on alcohol and other drug use outcomes. //Addictive Behaviors, 38//(3), 1852-1858. https://doi.org/10.1016/j.addbeh.2012.11.002
Hurley, D.B., & Kwon, P. (2012). Results of a study to increase savoring the moment: Differential impact on positive and negative outcomes. //Journal of Happiness Studies, 13//(4), 579-588. https://doi.org/10.1007/s10902-011-9280-8
Kiken, L.G., Lundberg, K.B., & Fredrickson, B.L. (2017). Being present and enjoying it: Dispositional mindfulness and savoring the moment are distinct, interactive predictors of positive emotions and psychological health. //Mindfulness, 8//(5), 1280-1290. https://doi.org/10.1007/s12671-017-0704-3
Kotze, M., & Nel, P. (2016). The psychometric properties of the mindful attention awareness scale (MAAS) and Freiburg mindfulness inventory (fmi) as measures of mindfulness and their relationship with burnout and work engagement. //SA Journal of Industrial Psychology, 42//(1),a1366. https://doi.org/10.4102/sajip.v42i1.1366
Kristofersson, G.K., Beckers, T., & Krueger, R. (2016). Perceptions of an adapted mindfulness program for persons experiencing substance use disorders and traumatic brain injury. //Journal of Addictions Nursing, 27//(4), 247-253. https://doi.org/10.1097/JAN.0000000000000144
Lee, K.H., Bowen, S., & An-Fu, B. (2011). Psychosocial outcomes of mindfulness-based relapse prevention in incarcerated substance abusers in Taiwan: A preliminary study. //Journal of Substance Use, 16//(6), 476-483. https://doi.org/10.3109/14659891.2010.505999
Levin, M.E., Dalrymple, K., & Zimmerman, M. (2014). Which facets of mindfulness predict the presence of substance use disorders in an outpatient psychiatric sample?. //Psychology of Addictive Behaviors, 28//(2), 498-506. https://doi.org/10.1037/a0034706
Liehr, P., Marcus, M.T., Carroll, D., Granmayeh, L.K., Cron, S.G., & Pennebaker, J.W. (2010). Linguistic analysis to assess the effect of a mindfulness intervention on self-change for adults in substance use recovery. //Substance Abuse, 31//(2), 79-85. https://doi.org/10.1080/08897071003641271
Luoma, J., Drake, C.E., Kohlenberg, B.S., & Hayes, S.C. (2011). Substance Abuse and psychological flexibility: The development of a new measure. //Addiction Research & Theory, 19//(1), 3-13. https://doi.org/10.3109/16066359.2010.524956
Luoma, J.B., Kohlenberg, B.S., Hayes, S.C., & Fletcher, L. (2012). Slow and steady wins the race: A randomized clinical trial of acceptance and commitment therapy targeting shame in substance use disorders. //Journal of Consulting and Clinical Psychology, 80//(1), 43-53. https://doi.org/10.1037/a0026070
Marcus, M.T., Schmitz, J., Moeller, G., Liehr, P., Cron, S.G., Swank, P., ... & Granmayeh, L.K. (2009). Mindfulness-based stress reduction in therapeutic community treatment: A stage 1 trial. //American Journal of Drug and Alcohol Abuse, 35//(2), 103-108. https://doi.org/10.1080/00952990902823079
Mitmansgruber, H., Beck, T.N., & Schussler, G. (2008). Mindful helpers: Experiential avoidance, meta-emotions, and emotion regulation in paramedics. //Journal of Research in Personality, 42//(5), 1358-1363. https://doi.org/10.1016/j.jrp.2008.03.012
Mitmansgruber, H., Beck, T.N., Hofer, S., & Schussler, G. (2009). When you don't like what you feel: Experiential avoidance, mindfulness and meta-emotion in emotion regulation. //Personality and Individual Differences, 46//(4), 448-453. https://doi.org/10.1016/j.paid.2008.11.013
Nakamura, Y., Lipschitz, D.L., Kanarowski, E., McCormick, T., Sutherland, D., & Melow-Murchie, M. (2015). Investigating impacts of incorporating an adjuvant mind-body intervention method into treatment as usual at a community-based substance abuse treatment facility: A pilot randomized controlled study. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572489
Norton, A.R., Abbott, M.J., Norberg, M.M., & Hunt, C. (2015). A systematic review of mindfulness and acceptance-based treatments for social anxiety disorder. //Journal of Clinical Psychology, 71//(4), 283-301. https://doi.org/10.1002/jclp.22144
Olsson, K.L., Cooper, R.L., Nugent, W.R., & Reid, R.C. (2016). Addressing negative affect in substance use relapse prevention. //Journal of Human Behavior in the Social Environment, 26//(1), 2-14. https://doi.org/10.1080/10911359.2015.1058138
Price, C., & Smith-DiJulio, K. (2016). Interoceptive awareness is important for relapse prevention perceptions of women who received mindful body awareness in substance use disorder treatment. //Journal of Addictions Nursing, 27//(1), 32-38. https://doi.org/10.1097/JAN.0000000000000109
Price, C.J., McBride, B., Hyerle, L., & Kivlahan, D.R. (2007). Mindful awareness in body-oriented therapy for female veterans with post-traumatic stress disorder taking prescription analgesics for chronic pain: A feasibility study. //Alternative Therapies in Health and Medicine, 13//(6), 32-40. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037268/
Price, C.J., Wells, E.A., Donovan, D.M., & Rue, T. (2012). Mindful awareness in body-oriented therapy as an adjunct to women's substance use disorder treatment: A pilot feasibility study. //Journal of Substance Abuse Treatment, 43//(1), 94-107. https://doi.org/10.1016/j.jsat.2011.09.016
Roos, C.R., Bowen, S., & Witkiewitz, K. (2017). Baseline patterns of substance use disorder severity and depression and anxiety symptoms moderate the efficacy of mindfulness-based relapse prevention. //Journal of Consulting and Clinical Psychology, 85//(11), 1041-1051. https://doi.org/10.1037/ccp0000249
Russell, K.C., Gillis, H.L.L., & Heppner, W. (2016). An examination of mindfulness-based experiences through adventure in substance use disorder treatment for young adult males: A pilot study. //Mindfulness, 7//(2), 320-328. https://doi.org/10.1007/s12671-015-0441-4
Sauer, S., Ziegler, M., Danay, E., Ives, J., & Kohls, N. (2013). Specific Objectivity of Mindfulness—A Rasch Analysis of the Freiburg Mindfulness Inventory. //Mindfulness, 4//(1), 45-54. https://doi.org/10.1007/s12671-012-0145-y
Schall, M., Goetz, T., Martiny, S.E., & Hall, N.C. (2017). It ain't over 'til it's over: The effect of task completion on the savoring of success. //Motivation and Emotion, 41//(1), 38-50. https://doi.org/10.1007/s11031-016-9591-5
Shorey, R.C., Anderson, S., & Stuart, G.L. (2015). The relation between trait mindfulness and aggression in men seeking residential substance use treatment. //Journal of Interpersonal Violence, 30//(10), 1633-1650. https://doi.org/10.1177/0886260514548586
Shorey, R.C., Anderson, S., & Stuart, G.L. (2015). Trait mindfulness and early maladaptive schemas in women seeking residential substance use treatment: A preliminary investigation. //Addiction Research & Theory, 23//(4), 280-286. https://doi.org/10.3109/16066359.2014.981810
Shorey, R.C., Anderson, S., Lookatch, S., Moore, T.M., & Stuart, G.L. (2015). The relation between moment-to-moment mindful attention and anxiety among young adults in substance use treatment. //Substance Abuse, 36//(3), 374-379. https://doi.org/10.1080/08897077.2014.935841
Shorey, R.C., Brasfield, H., Anderson, S., & Stuart, G.L. (2014). Differences in trait mindfulness across mental health symptoms among adults in substance use treatment. //Substance Use & Misuse, 49//(5), 595-600. https://doi.org/10.3109/10826084.2014.850310
Shorey, R.C., Brasfield, H., Anderson, S., & Stuart, G.L. (2014). Mindfulness deficits in a sample of substance abuse treatment seeking adults: A descriptive investigation. //Journal of Substance Use, 19//(42737), 194-198. https://doi.org/10.3109/14659891.2013.770570
Shorey, R.C., Brasfield, H., Anderson, S., & Stuart, G.L. (2015). The relation between trait mindfulness and early maladaptive schemas in men seeking substance use treatment. //Mindfulness, 6//(2), 348-355. https://doi.org/10.1007/s12671-013-0268-9
Shorey, R.C., Elmquist, J., Anderson, S.E., & Stuart, G.L. (2015). Dispositional mindfulness and aggression among women in residential substance use treatment. //Substance Use & Misuse, 50//(14),1840-1844. https://doi.org/10.3109/10826084.2015.1050112
Shorey, R.C., Elmquist, J., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between mindfulness and compulsive sexual behavior in a sample of men in treatment for substance use disorders. //Mindfulness, 7//(4), 866-873. https://doi.org/10.1007/s12671-016-0525-9
Shorey, R.C., Elmquist, J., Gawrysiak, M.J., Strauss, C., Haynes, E., Anderson, S., ... & Stuart, G.L. (2017). A randomized controlled trial of a mindfulness and acceptance group therapy for residential substance use patients. //Substance Use & Misuse, 52//(11), 1400-1410. https://doi.org/10.1080/10826084.2017.1284232
Shorey, R.C., Elmquist, J., Wolford-Clevenger, C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between dispositional mindfulness, borderline personality features, and suicidal ideation in a sample of women in residential substance use treatment. //Psychiatry Research, 238//, 122-128. https://doi.org/10.1016/j.psychres.2016.02.040
Shorey, R.C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2015). Dispositional mindfulness, spirituality, and substance use in predicting depressive symptoms in a treatment-seeking sample. //Journal of Clinical Psychology, 71//(4), 334-345. https://doi.org/10.1002/jclp.22139
Smith, J.L., & Bryant, F.B. (2016). The benefits of savoring life: Savoring as a moderator of the relationship between health and life satisfaction in older adults. //International of Aging & Human Development, 84//(1), 3-23. https://doi.org/10.1177/0091415016669146
Staiger, P.K., Dawe, S., Richardson, B., Hall, K., & Kambouropoulos, N. (2014). Modifying the risk associated with an impulsive temperament: A prospective study of drug dependence treatment. //Addictive Behaviors, 39//(11), 1676-1681. https://doi.org/10.1016/j.addbeh.2014.05.001
Temme, L.J., & Kopak, A.M. (2016). Maximizing recovery through the promotion of mindfulness and spirituality. //Journal of Religion and Spirituality in Social Work, 35//(42737), 41-56. https://doi.org/10.1080/15426432.2015.1067591
Vrana, C., Killeen, T., Brant, V., Mastrogiovanni, J., & Baker, N.L. (2017). Rationale, design, and implementation of a clinical trial of a mindfulness based relapse prevention protocol for the treatment of women with comorbid post traumatic stress disorder and substance use disorder. //Contemporary Clinical Trials, 61//, 108-114. https://doi.org/10.1016/j.cct.2017.07.024
Webb, J.R., Hirsch, J.K., & Toussaint, L. (2015). Forgiveness as a positive psychotherapy for addiction and suicide: Theory, research, and practice. //Spirituality in Clinical Practice, 2//(1), 48-60. https://doi.org/10.1037/scp0000054
Williams, J.F., Burton, R.S., & Warzinski, S.S. (2014). The role of the parent in adolescent substance use. //Pediatric Annals, 43//(10), E237-E241. https://doi.org/10.3928/00904481-20140924-07
Witkiewitz, K., & Bowen, S. (2010). Depression, craving, and substance use following a randomized trial of mindfulness-based relapse prevention. //Journal of Consulting and Clinical Psychology, 78//(3), 362-374. https://doi.org/10.1037/a0019172
Witkiewitz, K., Bowen, S., Douglas, H., & Hsu, S.H. (2013). Mindfulness-based relapse prevention for substance craving. //Addictive Behaviors, 38//(2), 1563-1571. https://doi.org/10.1016/j.addbeh.2012.04.001
Wittenauer, J., Ascher, M., Briggie, A., Kreiter, A., & Chavez, J. (2015). The role of complementary and alternative medicine in adolescent substance use disorders. //Adolescent Psychiatry, 5//(2), 96-104. https://doi.org/10.2174/2210676605666150311224407
Zemestani, M., & Ottaviani, C. (2016). Effectiveness of mindfulness-based relapse prevention for co-occurring substance use and depression disorders. //Mindfulness, 7//(6), 1347-1355. https://doi.org/10.1007/s12671-016-0576-y
Anastasiades, M.H., Kapoor, S., Wootten, J., & Lamis, D.A. (2017). Perceived stress, depressive symptoms, and suicidal ideation in undergraduate women with varying levels of mindfulness. //Archives of Women’s Mental Health, 20//(1), 129-138. https://doi.org/10.1007/s00737-016-0686-5
Barnhofer, T., Crane, C., Brennan, K., Duggan, D.S., Crane, R.S., Eames, C., ... & Williams, J.M.G. (2015). Mindfulness-based cognitive therapy (MBCT) reduces the association between depressive symptoms and suicidal cognitions in patients with a history of suicidal depression. //Journal of Consulting and Clinical Psychology, 83//(6), 1013-1020. https://doi.org/10.1037/ccp0000027
Buitron, V., Hill, R.M., & Pettit, J.W. (2017). Mindfulness moderates the association between perceived burdensomeness and suicide ideation in adults with elevated depressive symptoms. //Suicide and Life-threatening Behavior, 47//(5), 580-588. https://doi.org/10.1111/sltb.12314
Chang, E.C., Yu, T.N., Najarian, A.S.M., Wright, K.M., Chen, W.T., Chang, O.D., ... & Hirsch, J.K. (2017). Understanding the association between negative life events and suicidal risk in college students: Examining self-compassion as a potential mediator. //Journal of Clinical Psychology, 73//(6), 745-755. https://doi.org/10.1002/jclp.22374
Chesin, M.S., & Jeglic, E.L. (2016). Factors associated with recurrent suicidal ideation among racially and ethnically diverse college students with a history of suicide attempt: The role of mindfulness. //Archives of Suicide Research, 20//(1), 29-44. https://doi.org/10.1080/13811118.2015.1004488
Chesin, M.S., Benjamin-Phillips, C.A., Keilp, J., Fertuck, E.A., Brodsky, B.S., & Stanley, B. (2016). Improvements in executive attention, rumination, cognitive reactivity, and mindfulness among high-suicide risk patients participating in adjunct mindfulness-based cognitive therapy: Preliminary findings. //Journal of Alternative and Complementary Medicine, 22//(8), 642-649. https://doi.org/10.1089/acm.2015.0351
Chesin, M.S., Sonmez, C.C., Benjamin-Phillips, C.A., Beeler, B., Brodsky, B.S., & Stanley, B. (2015). Preliminary effectiveness of adjunct mindfulness-based cognitive therapy to prevent suicidal behavior in outpatients who are at elevated suicide risk. //Mindfulness, 6//(6), 1345-1355. https://doi.org/10.1007/s12671-015-0405-8
Collins, K.R.L., Best, I., Stritzke, W.G.K., & Page, A.C. (2016). Mindfulness and zest for life buffer the negative effects of experimentally-induced perceived burdensomeness and thwarted belongingness: Implications for theories of suicide. //Journal of Abnormal Psychology, 125//(5), 704-714. https://doi.org/10.1037/abn0000167
Collins, K.R.L., Stebbing, C., Stritzke, W.G.K., & Page, A.C. (2017). A brief mindfulness intervention attenuates desire to escape following experimental induction of the interpersonal adversity implicated in suicide risk. //Mindfulness, 8//(4), 1096-1105. https://doi.org/10.1007/s12671-017-0686-1
Ducasse, D., Jaussent, I., Guillaume, S., Azorin, J.M., Bellivier, F., Belzeaux, R., ... & Courtet, P. (2017). Affect lability predicts occurrence of suicidal ideation in bipolar patients: A two-year prospective study. //Acta Psychiatrica Scandinavica, 135//(5), 460-469. https://doi.org/10.1111/acps.12710
Forkmann, T., Brakemeier, E.L., Teismann, T., Schramm, E., & Michalak, J. (2016). The effects of mindfulness-based cognitive therapy and cognitive behavioral analysis system of psychotherapy added to treatment as usual on suicidal ideation in chronic depression: Results of a randomized-clinical trial. //Journal of Affective Disorders, 200//, 51-57. https://doi.org/10.1016/j.jad.2016.01.047
Forkmann, T., Wichers, M., Geschwind, N., Peeters, F., van Os, J., Mainz, V., ... & Collip, D. (2014). Effects of mindfulness-based cognitive therapy on self-reported suicidal ideation: Results from a randomised controlled trial in patients with residual depressive symptoms. //Comprehensive Psychiatry, 55//(8), 1883-1890. https://doi.org/10.1016/j.comppsych.2014.08.043
Kline, A., Chesin, M., Latorre, M., Miller, R., St Hill, L., Shcherbakov, A., ... & Interian, A. (2016). Rationale and study design of a trial of mindfulness-based cognitive therapy for preventing suicidal behavior (MBCT-S) in military veterans. //Contemporary Clinical Trials, 50//, 245-252. https://doi.org/10.1016/j.cct.2016.08.015
Kohrt, B.K., Lincoln, T.M., & Brambila, A.D. (2017). Embedding DBT skills training within a transactional-ecological framework to reduce suicidality in a navajo adolescent female. //Clinical Case Studies, 16//(1), 76-92. https://doi.org/10.1177/1534650116668271
Luoma, J.B., & Villatte, J.L. (2012). Mindfulness in the treatment of suicidal individuals. //Cognitive and Behavioral Practice, 19//(2), 265-276. https://doi.org/10.1016/j.cbpra.2010.12.003
Palmier-Claus, J.E., Taylor, P.J., Gooding, P., Dunn, G., & Lewis, S.W. (2012). Affective variability predicts suicidal ideation in individuals at ultra-high risk of developing psychosis: An experience sampling study. //British Journal of Clinical Psychology, 51//, 72-83. https://doi.org/10.1111/j.2044-8260.2011.02013.x
Serpa, J.G., Taylor, S.L., & Tillisch, K. (2014). Mindfulness-based stress reduction (MBSR) reduces anxiety, depression, and suicidal ideation in veterans. //Medical Care, 52//(12), S19-S24. https://doi.org/10.1097/MLR.0000000000000202
Shand, F.L., Ridani, R., Tighe, J., & Christensen, H. (2013). The effectiveness of a suicide prevention app for indigenous Australian youths: Study protocol for a randomized controlled trial. //Trials, 14//, 396. https://doi.org/10.1186/1745-6215-14-396
Shorey, R.C., Elmquist, J., Wolford-Clevenger, C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between dispositional mindfulness, borderline personality features, and suicidal ideation in a sample of women in residential substance use treatment. //Psychiatry Research, 238//, 122-128. https://doi.org/10.1016/j.psychres.2016.02.040
Tucker, R.P., O'Keefe, V.M., Cole, A.B., Rhoades-Kerswill, S., Hollingsworth, D.W., Helle, A.C., ... & Wingate, L.R. (2014). Mindfulness tempers the impact of personality on suicidal ideation. //Personality and Individual Differences, 68//, 229-233. https://doi.org/10.1016/j.paid.2014.05.001
Webb, J.R., Hirsch, J.K., & Toussaint, L. (2015). Forgiveness as a positive psychotherapy for addiction and suicide: Theory, research, and practice. //Spirituality in Clinical Practice, 2//(1), 48-60. https://doi.org/10.1037/scp0000054
Williams, J.M.G., Duggan, D.S., Crane, C., & Fennell, M.J.V. (2006). Mindfulness-based cognitive therapy for prevention of recurrence of suicidal behavior. //Journal of Clinical Psychology, 62//(2), 201-210. https://doi.org/10.1002/jclp.20223
Zeng, W.N., Ma, Z.W., & Li, H.Z. (2017). Mindfulness and suicidal ideation in Chinese older adults: Perceived stress as mediator. //Social Behavior and Personality, 45//(5), 733-740. https://doi.org/10.2224/sbp.5807
Daniel, L., Borders, L.D., & Willse, J. (2015). The role of supervisors' and supervisees' mindfulness in clinical supervision. //Counselor Education and Supervision, 54//(3), 221-232. https://doi.org/10.1002/ceas.12015
Evans, A., Crane, R., Cooper, L., Mardula, J., Wilks, J., Surawy, C., ... & Kuyken, W. (2015). A framework for supervision for mindfulness-based teachers: A space for embodied mutual inquiry. //Mindfulness, 6//(3), 572-581. https://doi.org/10.1007/s12671-014-0292-4
Reb, J., Narayanan, J., & Chaturvedi, S. (2014). Leading mindfully: Two studies on the influence of supervisor trait mindfulness on employee well-being and performance. //Mindfulness, 5//(1), 36-45. https://doi.org/10.1007/s12671-012-0144-z
Akin, A. (2012). Self-compassion and automatic thoughts. //Hacettepe Universitesi Egitim Fakultesi Dergisi, (42)//, 1-10.
Bakker, G.M. (2009). In defence of thought stopping. //Clinical Psychologist, 13//(2), 59-68. https://doi.org/10.1080/13284200902810452
Barnes, R.D., & Tantleff-Dunn, S. (2010). A preliminary investigation of sex differences and the mediational role of food thought suppression in the relationship between stress and weight cycling. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 15//(4), e265-e269.
Barnes, R.D., & Tantleff-Dunn, S. (2010). Food for thought: Examining the relationship between food thought suppression and weight-related outcomes. //Eating Behaviors, 11//(3), 175-179. https://doi.org/10.1016/j.eatbeh.2010.03.001
Baslet, G., Dworetzky, B., Perez, D.L., & Oser, M. (2015). Treatment of psychogenic nonepileptic seizures: Updated review and findings from a mindfulness-based intervention case series. //Clinical Eeg and Neuroscience, 46//(1), 54-64. https://doi.org/10.1177/1550059414557025
Bayer, J.B., & Campbell, S.W. (2012). Texting while driving on automatic: Considering the frequency-independent side of habit. //Computers in Human Behavior, 28//(6), 2083-2090. https://doi.org/10.1016/j.chb.2012.06.012
Bayer, J.B., Dal Cin, S., Campbell, S.W., & Panek, E. (2016). Consciousness and self-regulation in mobile communication. //Human Communication Research, 42//(1), 71-97. https://doi.org/10.1111/hcre.12067
Beblo, T., Fernando, S., Kamper, P., Griepenstroh, J., Aschenbrenner, S., Pastuszak, A., ... & Driessen, M. (2013). Increased attempts to suppress negative and positive emotions in borderline personality disorder. //Psychiatry Research, 210//(2), 505-509. https://doi.org/10.1016/j.psychres.2013.06.036
Beblo, T., Fernando, S., Klocke, S., Griepenstroh, J., Aschenbrenner, S., & Driessen, M. (2012). Increased suppression of negative and positive emotions in major depression. //Journal of Affective Disorders, 141//(42769), 474-479. https://doi.org/10.1016/j.jad.2012.03.019
Bowen, S., Witkiewitz, K., Dillworth, T.M., & Marlatt, G.A. (2007). The role of thought suppression in the relationship between mindfulness meditation and alcohol use. //Addictive Behaviors, 32//(10), 2324-2328. https://doi.org/10.1016/j.addbeh.2007.01.025
Braams, B.R., Blechert, J., Boden, M.T., & Gross, J.J. (2012). The effects of acceptance and suppression on anticipation and receipt of painful stimulation. //Journal of Behavior Therapy and Experimental Psychiatry, 43//(4), 1014-1018. https://doi.org/10.1016/j.jbtep.2012.04.001
Brockman, R., Ciarrochi, J., Parker, P., & Kashdan, T. (2017). Emotion regulation strategies in daily life: Mindfulness, cognitive reappraisal and emotion suppression. //Cognitive Behaviour Therapy, 46//(2), 91-113. https://doi.org/10.1080/16506073.2016.1218926
Bullis, J.R., Boe, H.J., Asnaani, A., & Hofmann, S.G. (2014). The benefits of being mindful: Trait mindfulness predicts less stress reactivity to suppression. //Journal of Behavior Therapy and Experimental Psychiatry, 45//(1), 57-66. https://doi.org/10.1016/j.jbtep.2013.07.006
Currie, L.M., Desjardins, K.S., Levine, E., Stone, P.W., Schnall, R., Li, J.H., ... & Bakken, S. (2009). Web-based hazard and near-miss reporting as part of a patient safety curriculum. //Journal of Nursing Education, 48//(12), 669-677. https://doi.org/10.3928/01484834-20091113-03
Djikic, M., Langer, E.J., & Stapleton, S.F. (2008). Reducing stereotyping through mindfulness: Effects on automatic stereotype-activated behaviors. //Journal of Adult Development, 15//(2), 106-111. https://doi.org/10.1007/s10804-008-9040-0
Erskine, J.A.K., Georgiou, G.J., Joshi, M., Deans, A., & Colegate, C. (2017). Ageing and thought suppression performance: Its relationship with working memory capacity, habitual thought suppression and mindfulness. //Consciousness and Cognition, 53//, 211-221. https://doi.org/10.1016/j.concog.2017.06.019
Erskine, J.A.K., Rawaf, D., Grice, S., & Ussher, M. (2015). Effect of suppressing thoughts of desire to smoke on ratings of desire to smoke and tobacco withdrawal symptoms. //Sage Open, 5//(1), 1-8. https://doi.org/10.1177/2158244015572488
Erskine, J.A.K., Ussher, M., Cropley, M., Elgindi, A., Zaman, M., & Corlett, B. (2012). Effect of thought suppression on desire to smoke and tobacco withdrawal symptoms. //Psychopharmacology, 219//(1), 205-211. https://doi.org/10.1007/s00213-011-2391-4
Farris, S.R., Ostafin, B.D., & Palfai, T.P. (2010). Distractibility moderates the relation between automatic alcohol motivation and drinking behavior. //Psychology of Addictive Behaviors, 24//(1), 151-156. https://doi.org/10.1037/a0018294
Frewen, P.A., Evans, E.M., Maraj, N., Dozois, D.J.A., & Partridge, K. (2008). Letting go: Mindfulness and negative automatic thinking. //Cognitive Therapy and Research, 32//(6), 758-774. https://doi.org/10.1007/s10608-007-9142-1
Garland, E.L., & Roberts-Lewis, A. (2013). Differential roles of thought suppression and dispositional mindfulness in posttraumatic stress symptoms and craving. //Addictive Behaviors, 38//(2), 1555-1562. https://doi.org/10.1016/j.addbeh.2012.02.004
Garland, E.L., Boettiger, C.A., & Howard, M.O. (2011). Targeting cognitive-affective risk mechanisms in stress-precipitated alcohol dependence: An integrated, biopsychosocial model of automaticity, allostasis, and addiction. //Medical Hypotheses, 76//(5), 745-754. https://doi.org/10.1016/j.mehy.2011.02.014
Greenberg, J., Shapero, B.G., Mischoulon, D., & Lazar, S.W. (2017). Mindfulness-based cognitive therapy for depressed individuals improves suppression of irrelevant mental-sets. //European Archives of Psychiatry and Clinical Neuroscience, 267//(3), 277-282. https://doi.org/10.1007/s00406-016-0746-x
Hepburn, S.R., Crane, C., Barnhofer, T., Duggan, D.S., Fennell, M.J.V., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy may reduce thought suppression in previously suicidal participants: Findings from a preliminary study. //British Journal of Clinical Psychology, 48//, 209-215. https://doi.org/10.1348/014466509X414970
Hesser, H., Molander, P., Jungermann, M., & Andersson, G. (2013). Costs of suppressing emotional sound and countereffects of a mindfulness induction: An experimental analog of tinnitus impact. //PLOS ONE, 8//(5), e64540. https://doi.org/10.1371/journal.pone.0064540
Hooper, N., Davies, N., Davies, L., & McHugh, L. (2011). Comparing thought suppression and mindfulness as coping techniques for spider fear. //Consciousness and Cognition, 20//(4), 1824-1830. https://doi.org/10.1016/j.concog.2011.05.013
Isbel, B., & Mahar, D. (2015). Cognitive mechanisms of mindfulness: A test of current models. //Consciousness and Cognition, 38//, 50-59. https://doi.org/10.1016/j.concog.2015.10.005
Jazaieri, H., Goldin, P.R., & Gross, J.J. (2017). Treating social anxiety disorder with CBT: Impact on emotion regulation and satisfaction with life. //Cognitive Therapy and Research, 41//(3), 406-416. https://doi.org/10.1007/s10608-016-9762-4
Jones, S.M., Bodie, G.D., & Koerner, A.F. (2017). Connections between family communication patterns, person-centered message evaluations, and emotion regulation strategies. //Human Communication Research, 43//(2), 237-255. https://doi.org/10.1111/hcre.12103
Keng, S.L., Tan, E.L.Y., Eisenlohr-Moul, T.A., & Smoski, M.J. (2017). Effects of mindfulness, reappraisal, and suppression on sad mood and cognitive resources. //Behaviour Research and Therapy, 91//, 33-42. https://doi.org/10.1016/j.brat.2017.01.006
Lalot, F., Delplanque, S., & Sander, D. (2014). Mindful regulation of positive emotions: A comparison with reappraisal and expressive suppression. //Frontiers in Psychology, 5//,243. https://doi.org/10.3389/fpsyg.2014.00243
Lappalainen, P., Langrial, S., Oinas-Kukkonen, H., Tolvanen, A., & Lappalainen, R. (2015). Web-based acceptance and commitment therapy for depressive symptoms with minimal support: A randomized controlled trial. //Behavior Modification, 39//(6), 805-834. https://doi.org/10.1177/0145445515598142
Lavender, J.M., Jardin, B.F., & Anderson, D.A. (2009). Bulimic symptoms in undergraduate men and women: Contributions of mindfulness and thought suppression. //Eating Behaviors, 10//(4), 228-231. https://doi.org/10.1016/j.eatbeh.2009.07.002
Levesque, C., Copeland, K.J., & Sutcliffe, R.A. (2008). Conscious and nonconscious processes: Implications for self-determination theory. //Canadian Psychology-psychologie Canadienne, 49//(3), 218-224. https://doi.org/10.1037/a0012756
Lifshitz, M., Bonn, N.A., Fischer, A., Kashem, I.F., & Raz, A. (2013). Using suggestion to modulate automatic processes: From Stroop to McGurk and beyond. //Cortex, 49//(2), 463-473. https://doi.org/10.1016/j.cortex.2012.08.007
Lindsay, S. (2014).Can hyper-synchrony in meditation lead to seizures? Similarities in meditative and epileptic brain states. //Medical Hypotheses, 83//(4), 465-472. https://doi.org/10.1016/j.mehy.2014.07.015
MacDonald, H.Z., & Baxter, E.E. (2017). Mediators of the relationship between dispositional mindfulness and psychological well-being in female college students. //Mindfulness, 8//(2), 398-407. https://doi.org/10.1007/s12671-016-0611-z
May, J., Andrade, J., Batey, H., Berry, L.M., & Kavanagh, D.J. (2010). Less food for thought. Impact of attentional instructions on intrusive thoughts about snack foods. //Appetite, 55//(2), 279-287. https://doi.org/10.1016/j.appet.2010.06.014
Michaelis, R., & Berger, B. (2017). Mindfulness-based therapy enhances quality of life in drug-resistant epilepsy. //Complementary Medicine Research, 24//(4), 210-213.
Moss, A.C., Erskine, J.A.K., Albery, I.P., Allen, J.R., & Georgiou, G.J. (2015). To suppress, or not to suppress? that is repression: Controlling intrusive thoughts in addictive behaviour. //Addictive Behaviors, 44//, 65-70. https://doi.org/10.1016/j.addbeh.2015.01.029
Murakami, H., Katsunuma, R., Oba, K., Terasawa, Y., Motomura, Y., Mishima, K., ... & Moriguchi, Y. (2015). Neural networks for mindfulness and emotion suppression. //PLOS ONE, 10//(6), e0128005. https://doi.org/10.1371/journal.pone.0128005
Nitzan-Assayag, Y., Yuval, K., Tanay, G., Aderka, I.M., Vujanovic, A.A., Litz, B., ... & Bernstein, A. (2017). Reduced reactivity to and suppression of thoughts mediate the effects of mindfulness training on recovery outcomes following exposure to potentially traumatic stress. //Mindfulness, 8//(4), 920-932. https://doi.org/10.1007/s12671-016-0666-x
Ostafin, B.D., & Marlatt, G.A. (2008). Surfing the urge: Experiential acceptance moderates the relation between automatic alcohol motivation and hazardous drinking. //Journal of Social and Clinical Psychology, 27//(4), 404-418. https://doi.org/10.1521/jscp.2008.27.4.404
Ostafin, B.D., Bauer, C., & Myxter, P. (2012). Mindfulness decouples the relation between automatic alcohol motivation and heavy drinking. //Journal of Social and Clinical Psychology, 31//(7), 729-745.
Ostafin, B.D., Kassman, K.T., & Wessel, I. (2013). Breaking the cycle of desire: Mindfulness and executive control weaken the relation between an implicit measure of alcohol valence and preoccupation with alcohol-related thoughts. //Psychology of Addictive Behaviors, 27//(4), 1153-1158. https://doi.org/10.1037/a0032621
Pat-Horenczyk, R., Shi, C.S.W., Schramm-Yavin, S., Bar-Halpern, M., & Tan, L.J. (2015). Building emotion and affect regulation (bear): Preliminary evidence from an open trial in children's residential group homes in Singapore. //Child & Youth Care Forum, 44//(2), 175-190. https://doi.org/10.1007/s10566-014-9276-8
Rasanen, P., Lappalainen, P., Muotka, J., Tolvanen, A., & Lappalainen, R. (2016). An online guided act intervention for enhancing the psychological wellbeing of university students: A randomized controlled clinical trial. //Behaviour Research and Therapy, 78//, 30-42. https://doi.org/10.1016/j.brat.2016.01.001
Riley, B. (2014). Experiential avoidance mediates the association between thought suppression and mindfulness with problem gambling. //Journal of Gambling Studies, 30//(1), 163-171. https://doi.org/10.1007/s10899-012-9342-9
Rogojanski, J., Vettese, L.C., & Antony, M.M. (2011). Role of sensitivity to anxiety symptoms in responsiveness to mindfulness versus suppression strategies for coping with smoking cravings. //Journal of Clinical Psychology, 67//(4), 439-445. https://doi.org/10.1002/jclp.20774
Senay, I., Cetinkaya, M., & Usak, M. (2012). Accepting test-anxiety-related thoughts increases academic performance among undergraduate students. //Psihologija, 45//(4), 417-432. https://doi.org/10.2298/PSI1204417S
Thompson, N.J., Patel, A.H., Selwa, L.M., Stoll, S.C., Begley, C.E., Johnson, E.K., ... & Fraser, R.T. (2015). Expanding the efficacy of project uplift: Distance delivery of mindfulness-based depression prevention to people with epilepsy. //Journal of Consulting and Clinical Psychology, 83//(2), 304-313. https://doi.org/10.1037/a0038404
Wegner, D.M. (2011). Setting free the bears: Escape from thought suppression. //American Psychologist, 66//(8), 671-680.
Welch, S.S., & Kim, J. (2012). DBT-enhanced cognitive behavioral therapy for adolescent trichotillomania: An adolescent case study. //Cognitive and Behavioral Practice, 19//(3), 483-493. https://doi.org/10.1016/j.cbpra.2011.11.002
Wolgast, M., Lundh, L.G., & Viborg, G. (2013). Experiential avoidance as an emotion regulatory function: An empirical analysis of experiential avoidance in relation to behavioral avoidance, cognitive reappraisal, and response suppression. //Cognitive Behaviour Therapy, 42//(3), 224-232. https://doi.org/10.1080/16506073.2013.773059
Yen, P.Y., Jia, H.M., Currie, L.M., & Bakken, S. (2009). Comparison of two user interfaces for accessing context-specific information resources related to hazards and near misses. //CIN: Computers Informatics Nursing, 27//(2), 99-104.
Burschka, J.M., Keune, P.M., Hofstadt-van Oy, U., Oschmann, P., & Kuhn, P. (2014). Mindfulness-based interventions in multiple sclerosis: Beneficial effects of Tai Chi on balance, coordination, fatigue and depression. //BMC Neurology, 14//, 165. https://doi.org/10.1186/s12883-014-0165-4
Converse, A.K., Ahlers, E.O., Travers, B.G., & Davidson, R.J. (2014). Tai Chi training reduces self-report of inattention in healthy young adults. //Frontiers in Human Neuroscience, 8//, 13. https://doi.org/10.3389/fnhum.2014.00013
Gryffin, P.A., & Chen, W.C. (2013). Implications of Tai Chi for smoking cessation. //Journal of Alternative and Complementary Medicine, 19//(2), 141-145. https://doi.org/10.1089/acm.2011.0094
Hojjat, S., Kohandel, M., & Isazadeh, H. (2017). The efficacy of integrating Tai Chi and mindfulness exercises on the ms patients' improved balance, coordination, and performance. //Indo American Journal of Pharmaceutical Sciences, 4//(5), 1366-1371. https://doi.org/10.5281/zenodo.805948
Kerr, C.E., Agrawal, U., & Nayak, S. (2016). The effects of Tai Chi practice on intermuscular beta coherence and the rubber hand illusion. //Frontiers in Human Neuroscience, 10//, 37. https://doi.org/10.3389/fnhum.2016.00037
Kerr, C.E., Shaw, J.R., Wasserman, R.H., Chen, V.W., Kanojia, A., Bayer, T., ... & Kelley, J.M. (2008). Tactile acuity in experienced Tai Chi practitioners: Evidence for use dependent plasticity as an effect of sensory-attentional training. //Experimental Brain Research, 188//(2), 317-322. https://doi.org/10.1007/s00221-008-1409-6
Lee, A.C., Harvey, W.F., Wong, J.B., Price, L.L., Han, X.Y., Chung, M., ... & Wang, C.C. (2017). Effects of Tai Chi versus physical therapy on mindfulness in knee osteoarthritis. //Mindfulness, 8//(5), 1195-1205. https://doi.org/10.1007/s12671-017-0692-3
Niles, B.L., Mori, D.L., Polizzi, C.P., Kaiser, A.P., Ledoux, A.M., & Wang, C.C. (2016). Feasibility, qualitative findings and satisfaction of a brief Tai Chi mind-body programme for veterans with post-traumatic stress symptoms. //BMJ Open, 6//(11), e012464. https://doi.org/10.1136/bmjopen-2016-012464
Salmoirago-Blotcher, E., Wayne, P., Bock, B.C., Dunsiger, S., Wu, W.C., Stabile, L., ... & Yeh, G. (2015). Design and methods of the gentle cardiac rehabilitation study - A behavioral study of Tai Chi exercise for patients not attending cardiac rehabilitation. //Contemporary Clinical Trials, 43//, 243-251. https://doi.org/10.1016/j.cct.2015.06.020
Wang, C.C., Schmid, C.H., Rones, R., Kalish, R., Yinh, J., Goldenberg, D.L., ... & McAlindon, T. (2010). A randomized trial of Tai Chi for fibromyalgia. //New England Journal of Medicine, 363//(8), 743-754. https://doi.org/10.1056/NEJMoa0912611
Yeh, G.Y., Chan, C.W., Wayne, P.M., & Conboy, L. (2016). The impact of tai chi exercise on self-efficacy, social support, and empowerment in heart failure: Insights from a qualitative sub-study from a randomized controlled trial. //PLOS ONE, 11//(5), e0154678. https://doi.org/10.1371/journal.pone.0154678
Zheng, G.H., Lan, X.L., Li, M.Y., Ling, K., Lin, H., Chen, L.D., ... & Fang, Q.Y. (2014). The effectiveness of Tai Chi on the physical and psychological well-being of college students: A study protocol for a randomized controlled trial. //Trials, 15//, 129. https://doi.org/10.1186/1745-6215-15-129
Nedeljkovic, M., Burgler, C., Wirtz, P.H., Seiler, R., Streitberger, K.M., & Ausfeld-Hafter, B. (2012). Getting started with Taiji: Investigating students expectations and teachers appraisals of Taiji beginners courses. //Evidence-based Complementary and Alternative Medicine, 2012//, 595710. https://doi.org/10.1155/2012/595710
Nedeljkovic, M., Wirtz, P.H., & Ausfeld-Hafter, B. (2012). Effects of Taiji practice on mindfulness and self-compassion in healthy participants-A randomized controlled trial. //Mindfulness, 3//(3), 200-208. https://doi.org/10.1007/s12671-012-0092-7
Schitter, A.M., Nedeljkovic, M., Ausfeld-Hafter, B., & Fleckenstein, J. (2016). Changes in self-reported symptoms of depression and physical well-being in healthy individuals following a Taiji beginner course - Results of a randomized controlled trial. //Brain and Behavior, 6//(4), e00429. https://doi.org/10.1002/brb3.429
Alexakos, K., Pride, L.D., Amat, A., Tsetsakos, P., Lee, K.J., Paylor-Smith, C., ... & Smith, T. (2016). Mindfulness and discussing "thorny" issues in the classroom. //Cultural Studies of Science Education, 11//(3), 741-769. https://doi.org/10.1007/s11422-015-9718-0
Arthurson, K. (2015). Teaching mindfulness to year sevens as part of health and personal development. //Australian Journal of Teacher Education, 40//(5), 27-40. http://dx.doi.org/10.14221/ajte.2015v40n5.2
Aydin, A. (2015). Identifying the relationship of teacher candidates' humor styles with anxiety and self-compassion levels. //Eurasian Journal of Educational Research, //(59), 1-16.
Beshai, S., McAlpine, L., Weare, K., & Kuyken, W. (2016). A non-randomised feasibility trial assessing the efficacy of a mindfulness-based intervention for teachers to reduce stress and improve well-being. //Mindfulness, 7//(1), 198-208. https://doi.org/10.1007/s12671-015-0436-1
Brunzell, T., Stokes, H., & Waters, L. (2016). Trauma-informed flexible learning: Classrooms that strengthen regulatory abilities. //International Journal of Child Youth & Family Studies, 7//(2), 218-239. https://doi.org/10.18357/ijcyfs72201615719
Burrows, L. (2017). I feel proud we are moving forward: Safeguarding mindfulness for vulnerable student and teacher wellbeing in a community college. //Journal of Adult Protection, 19//(1), 33-46. https://doi.org/10.1108/JAP-08-2016-0015
Chinn, P.W.U. (2015). Place and culture-based professional development: Cross-hybrid learning and the construction of ecological mindfulness. //Cultural Studies of Science Education, 10//(1), 121-134. https://doi.org/10.1007/s11422-014-9585-0
Cook, C.R., Miller, F.G., Fiat, A., Renshaw, T., Frye, M., Joseph, G., ... & Decano, P. (2017). Promoting secondary teachers' well-being and intentions to implement evidence-based practices: Randomized evaluation of the achiever resilience curriculum. //Psychology in the Schools, 54//(1), 13-28. https://doi.org/10.1002/pits.21980
Crain, T.L., Schonert-Reichl, K.A., & Roeser, R.W. (2017). Cultivating teacher mindfulness: Effects of a randomized controlled trial on work, home, and sleep outcomes. //Journal of Occupational Health Psychology, 22//(2), 138-152. https://doi.org/10.1037/ocp0000043
Crane, R.S., Kuyken, W., Williams, J.M.G., Hastings, R.P., Cooper, L., & Fennell, M.J.V. (2012). Competence in teaching mindfulness-based courses: Concepts, development and assessment. //Mindfulness, 3//(1), 76-84. https://doi.org/10.1007/s12671-011-0073-2
Dariotis, J.K., Mirabal-Beltran, R., Cluxton-Keller, F., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2017). A qualitative exploration of implementation factors in a school-based mindfulness and yoga program: Lessons learned from students and teachers. //Psychology in the Schools, 54//(1), 53-69. https://doi.org/10.1002/pits.21979
de Carvalho, J.S., Pinto, A.M., & Maroco, J. (2017). Results of a mindfulness-based social-emotional learning program on Portuguese elementary students and teachers: A quasi-experimental study. //Mindfulness, 8//(2), 337-350. https://doi.org/10.1007/s12671-016-0603-z
Ennis, C.D. (2017). Educating students for a lifetime of physical activity: Enhancing mindfulness, motivation, and meaning. //Research Quarterly for Exercise and Sport, 88//(3), 241-250. https://doi.org/10.1080/02701367.2017.1342495
Evans, A., Crane, R., Cooper, L., Mardula, J., Wilks, J., Surawy, C., ... & Kuyken, W. (2015). A framework for supervision for mindfulness-based teachers: A space for embodied mutual inquiry. //Mindfulness, 6//(3), 572-581. https://doi.org/10.1007/s12671-014-0292-4
Flook, L., Goldberg, S.B., Pinger, L., Bonus, K., & Davidson, R.J. (2013). Mindfulness for teachers: A pilot study to assess effects on stress, burnout, and teaching efficacy. //Mind Brain and Education, 7//(3), 182-195. https://doi.org/10.1111/mbe.12026
Franco, C., Manas, I., Cangas, A.J., Moreno, E., & Gallego, J. (2010). Reducing teachers' psychological distress through a mindfulness training program. //Spanish Journal of Psychology, 13//(2), 655-666.
Frank, J.L., Jennings, P.A., & Greenberg, M.T. (2016). Validation of the mindfulness in teaching scale. //Mindfulness, 7//(1), 155-163. https://doi.org/10.1007/s12671-015-0461-0
Gold, E., Smith, A., Hopper, I., Herne, D., Tansey, G., & Hulland, C. (2010). Mindfulness-based stress reduction (MBSR) for primary school teachers. //Journal of Child and Family Studies, 19//(2), 184-189. https://doi.org/10.1007/s10826-009-9344-0
Gouda, S., Luong, M.T., Schmidt, S., & Bauer, J. (2016). Students and teachers benefit from mindfulness-based stress reduction in a school-embedded pilot study. //Frontiers in Psychology, 7//, 590. https://doi.org/10.3389/fpsyg.2016.00590
Hao, Y.W. (2016). The development of pre-service teachers' knowledge: A contemplative approach. //Computers in Human Behavior, 60//, 155-164. https://doi.org/10.1016/j.chb.2016.02.054
Harris, A.R., Jennings, P.A., Katz, D.A., Abenavoli, R.M., & Greenberg, M.T. (2016). Promoting stress management and wellbeing in educators: Feasibility and efficacy of a school-based yoga and mindfulness intervention. //Mindfulness, 7//(1), 143-154. https://doi.org/10.1007/s12671-015-0451-2
Hinds, E., Jones, L.B., Gau, J.M., Forrester, K.K., & Biglan, A. (2015). Teacher distress and the role of experiential avoidance. //Psychology in the Schools, 52//(3), 284-297. https://doi.org/10.1002/pits.21821
Hue, M.T., & Lau, N.S. (2015). Promoting well-being and preventing burnout in teacher education: A pilot study of a mindfulness-based programme for pre-service teachers in Hong Kong. //Teacher Development, 19//(3), 381-401. https://doi.org/10.1080/13664530.2015.1049748
Huijbers, M.J., Crane, R.S., Kuyken, W., Heijke, L., van den Hout, I., Donders, A.R.T., ... & Speckens, A.E.M. (2017). Teacher competence in mindfulness-based cognitive therapy for depression and its relation to treatment outcome. //Mindfulness, 8//(4), 960-972. https://doi.org/10.1007/s12671-016-0672-z
Hutchinson, K., Gilbert, A., & Malyukova, A. (2016). Navigating "thorny" issues. //Cultural Studies of Science Education, 11//(3), 771-783. https://doi.org/10.1007/s11422-016-9779-8
Jennings, P.A. (2015). Early childhood teachers' well-being, mindfulness, and self-compassion in relation to classroom quality and attitudes towards challenging students. //Mindfulness, 6//(4), 732-743. https://doi.org/10.1007/s12671-014-0312-4
Jennings, P.A., Brown, J.L., Frank, J.L., Doyle, S., Oh, Y., Davis, R., ... & Greenberg, M.T. (2017). Impacts of the CARE for teachers program on teachers' social and emotional competence and classroom interactions. //Journal of Educational Psychology, 109//(7), 1010-1028. https://doi.org/10.1037/edu0000187
Jennings, P.A., Frank, J.L., Snowberg, K.E., Coccia, M.A., & Greenberg, M.T. (2013). Improving classroom learning environments by cultivating awareness and resilience in education (CARE): Results of a randomized controlled trial. //School Psychology Quarterly, 28//(4), 374-390. https://doi.org/10.1037/spq0000035
Kasson, E.M., & Wilson, A.N. (2017). Preliminary evidence on the efficacy of mindfulness combined with traditional classroom management strategies. //Behavior Analysis in Practice, 10//(3), 242-251. https://doi.org/10.1007/s40617-016-0160-x
Keiser, D.L., & Adarkar, A. (2015). Buddhas still in classrooms: Where is the mustard seed?. //Reflective Practice, 16//(6), 836-848. https://doi.org/10.1080/14623943.2015.1095732
Kernochan, R.A., McCormick, D.W., & White, J.A. (2007). Spirituality and the management teacher - reflections of three Buddhists on compassion, mindfulness, and selflessness in the classroom. //Journal of Management Inquiry, 16//(1), 61-75. https://doi.org/10.1177/1056492606297545
Kurtzman, B. (2017). Bringing mindfulness to the k-6 classroom. //Learning Landscapes, 10//(2), 23-29.
Kyte, D. (2016). Toward a sustainable sense of self in teaching and teacher education: Sustainable happiness and well-being through mindfulness. //Mcgill Journal of Education, 51//(3), 1143-1162.
Mount, R.K., Albrecht, N.J., & Waters, L. (2016). Mindfulness-based approaches for young people with autism spectrum disorder and their caregivers: Do these approaches hold benefits for teachers?. //Australian Journal of Teacher Education, 41//(6), 68-86. https://doi.org/10.14221/ajte.2016v41n6.5
Nyaema, M.K. (2017). In response to david greenwood's 'place mobility and faculty life: Mindfulness through change' through the lens of science teacher education programs. //Cultural Studies of Science Education, 12//(2), 513-519. https://doi.org/10.1007/s11422-016-9736-6
Patterson, J. (2015). Employing mindfulness via art in education. //International Journal of Education Through Art, 11//(2), 185-192. https://doi.org/10.1386/eta.11.2.185_1
Piotrowski, S.A., Binder, M.J., & Schwind, J.K. (2017). Primary teachers' perceptions of mindfulness practices with young children. //Learning Landscapes, 10//(2), 225-240.
Powietrzynska, M., & Gangji, A.K.H. (2016). I understand why people need to ease their emotions: Exploring mindfulness and emotions in a conceptual physics classroom of an elementary teacher education program. //Cultural Studies of Science Education, 11//(3), 693-712. https://doi.org/10.1007/s11422-016-9772-2
Reiser, J.E., Murphy, S.L., & McCarthy, C.J. (2016). Stress prevention and mindfulness: A psychoeducational and support group for teachers. //Journal for Specialists in Group Work, 41//(2), 117-139. https://doi.org/10.1080/01933922.2016.1151470
Roeser, R.W., Schonert-Reichl, K.A., Jha, A., Cullen, M., Wallace, L., Wilensky, R., ... & Harrison, J. (2013). Mindfulness training and reductions in teacher stress and burnout: Results from two randomized, waitlist-control field trials. //Journal of Educational Psychology, 105//(3), 787-804. https://doi.org/10.1037/a0032093
Roeser, R.W., Skinner, E., Beers, J., & Jennings, P.A. (2012). Mindfulness training and teachers' professional development: An emerging area of research and practice. //Child Development Perspectives, 6//(2), 167-173. https://doi.org/10.1111/j.1750-8606.2012.00238.x
Schnaider-Levi, L., Mitnik, I., Zafrani, K., Goldman, Z., & Lev-Ari, S. (2017). Inquiry-based stress reduction meditation technique for teacher burnout: A qualitative study. //Mind Brain and Education, 11//(2), 75-84. https://doi.org/10.1111/mbe.12137
Schussler, D.L., Jennings, P.A., Sharp, J.E., & Frank, J.L. (2016). Improving teacher awareness and well-being through care: A qualitative analysis of the underlying mechanisms. //Mindfulness, 7//(1), 130-142. https://doi.org/10.1007/s12671-015-0422-7
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., & Singh, J. (2013). Mindfulness training for teachers changes the behavior of their preschool students. //Research in Human Development, 10//(3), 211-233. https://doi.org/10.1080/15427609.2013.818484
Smith, S.E., Barnes, E.S., Mason, J., & Broome, J. (2016). Place, workplace, and mindful movement. //Learning Communities-international Journal of Learning in Social Contexts, 20//, 4-19. http://doi.org/10.18793/LCJ2016.20.02
Stewart, T.L., Berkvens, M., Engels, W.A.E.W., & Pass, J.A. (2003). Status and likability: Can the "mindful" woman have it all?. //Journal of Applied Social Psychology, 33//(10), 2040-2059. https://doi.org/10.1111/j.1559-1816.2003.tb01874.x
Taylor, C., Harrison, J., Haimovitz, K., Oberle, E., Thomson, K., Schonert-Reichl, K., ... & Roeser, R.W. (2016). Examining ways that a mindfulness-based intervention reduces stress in public school teachers: A mixed-methods study. //Mindfulness, 7//(1), 115-129. https://doi.org/10.1007/s12671-015-0425-4
Vacarr, B. (2001). Moving beyond polite correctness: Practicing mindfulness in the diverse classroom. //Harvard Educational Review, 71//(2), 285-295.
van Aalderen, J.R., Breukers, W.J., Reuzel, R.P.B., & Speckens, A.E.M. (2014). The role of the teacher in mindfulness-based approaches: A qualitative study. //Mindfulness, 5//(2), 170-178. https://doi.org/10.1007/s12671-012-0162-x
Coates, C.A. (2015). The Parenting Coordinator as Peacemaker and Peacebuilder. //Family Court Review, 53//(3), 398-406. https://doi.org/10.1111/fcre.12161
Curtis, A.M., Dennis, A.R., & McNamara, K.O. (2017). From monologue to dialogue: Performative objects to promote collective mindfulness in computer-mediated team discussions. //MIS Quarterly, 41//(2), 559-+. http://dx.doi.org/10.25300/MISQ/2017/41.2.10
McAllister, C., Leykum, L.K., Lanham, H., Reisinger, H.S., Kohn, J.L., Palmer, R., ... & McDaniel, R.R. (2014). Relationships within inpatient physician housestaff teams and their association with hospitalized patient outcomes. //Journal of Hospital Medicine, 9//(12), 764-771. https://doi.org/10.1002/jhm.2274
McAvoy, J., Nagle, T., & Sammon, D. (2013). Using mindfulness to examine ISD agility. //Information Systems Journal, 23//(2), 155-172. https://doi.org/10.1111/j.1365-2575.2012.00405.x
McCray, J., Palmer, A., & Chmiel, N. (2016). Building resilience in health and social care teams. //Personnel Review, 45//(6), 1132-1155. https://doi.org/10.1108/PR-04-2014-0095
Oeij, P.R.A., Dhondt, S., & Gaspersz, J. (2016). Mindful infrastructure as an enabler of innovation resilience behaviour in innovation teams. //Team Performance Management, 22//(42924), 334-353. https://doi.org/10.1108/TPM-12-2015-0058
Sammon, D., Nagle, T., & McAvoy, J. (2014). Analysing ISD performance using narrative networks, routines and mindfulness. //Information and Software Technology, 56//(5), 465-476. https://doi.org/10.1016/j.infsof.2014.01.007
Schwind, J.K., McCay, E., Metersky, K., & Martin, J. (2016). Development and implementation of an advanced therapeutic communication course: An interprofessional collaboration. //Journal of Nursing Education, 55//(10), 592-597. https://doi.org/10.3928/01484834-20160914-11
Singh, N.N., Singh, S.D., Sabaawi, M., Myers, R.E., & Wahler, R.G. (2006). Enhancing treatment team process through mindfulness-based mentoring in an inpatient psychiatric hospital. //Behavior Modification, 30//(4), 423-441. https://doi.org/10.1177/0145445504272971
Singh, N.N., Wahler, R.G., Sabaawi, M., Goza, A.B., Singh, S.D., & Molina, E.J. (2002). Mentoring treatment teams to integrate behavioral and psychopharmacological treatments in developmental disabilities. //Research in Developmental Disabilities, 23//(6), 379-389. https://doi.org/10.1016/S0891-4222(02)00140-3
Stephens, J.P., & Lyddy, C.J. (2016). Operationalizing heedful interrelating: How attending, responding, and feeling comprise coordinating and predict performance in self-managing teams. //Frontiers in Psychology, 7//. https://doi.org/10.3389/fpsyg.2016.00362
Warde, C.M., Vermillion, M., & Uljtdehaage, S. (2014). A medical student leadership course led to teamwork, advocacy, and mindfulness. //Family Medicine, 46//(6), 459-462. http://www.stfm.org/FamilyMedicine/Vol46Issue6/Warde459
Alda, M., Puebla-Guedea, M., Rodero, B., Demarzo, M., Montero-Marin, J., Roca, M., ... & Garcia-Campayo, J. (2016). Zen meditation, length of telomeres, and the role of experiential avoidance and compassion. //Mindfulness, 7//(3), 651-659. https://doi.org/10.1007/s12671-016-0500-5
Daubenmier, J., Lin, J., Blackburn, E., Hecht, F.M., Kristeller, J., Maninger, N., ... & Epel, E. (2012). Changes in stress, eating, and metabolic factors are related to changes in telomerase activity in a randomized mindfulness intervention pilot study. //Psychoneuroendocrinology, 37//(7), 917-928. https://doi.org/10.1016/j.psyneuen.2011.10.008
Epel, E., Daubenmier, J., Moskowitz, J.T., Folkman, S., & Blackburn, E. (2009). Can meditation slow rate of cellular aging? Cognitive stress, mindfulness, and telomeres. //Annals of the New York Academy of Sciences, 1172//, 34-53. https://doi.org/10.1111/j.1749-6632.2009.04414.x
Hoge, E.A., Chen, M.M., Orr, E., Metcalf, C.A., Fischer, L.E., Pollack, M.H., ... & Simon, N.M. (2013). Loving-kindness meditation practice associated with longer telomeres in women. //Brain Behavior and Immunity, 32//, 159-163. https://doi.org/10.1016/j.bbi.2013.04.005
Jacobs, T.L., Epel, E.S., Lin, J., Blackburn, E.H., Wolkowitz, O.M., Bridwell, D.A., ... & Saron, C.D. (2011). Intensive meditation training, immune cell telomerase activity, and psychological mediators. //Psychoneuroendocrinology, 36//(5), 664-681. https://doi.org/10.1016/j.psyneuen.2010.09.010
Schutte, N.S., Palanisamy, S.K.A., & McFarlane, J.R. (2016). The relationship between positive psychological characteristics and longer telomeres. //Psychology & Health, 31//(12), 1466-1480. https://doi.org/10.1080/08870446.2016.1226308
Wang, X., Sundquist, K., Hedelius, A., Palmer, K., Memon, A.A., & Sundquist, J. (2017). Leukocyte telomere length and depression, anxiety and stress and adjustment disorders in primary health care patients. //BMC Psychiatry, 17//, 148. https://doi.org/10.1186/s12888-017-1308-0
Agarwal, S. (2016). Tourist persuasion and crime prevention. //Crime Prevention & Community Safety, 18//(3), 165-186. https://doi.org/10.1057/cpcs.2016.8
Bauer, A.A., Loy, L.S., Masur, P.K., & Schneider, F.M. (2017). Mindful instant messaging mindfulness and autonomous motivation as predictors of well-being in smartphone communication. //Journal of Media Psychology-theories Methods and Applications, 29//(3), 159-165. https://doi.org/10.1027/1864-1105/a000225
Kraft, S., Wolf, M., Klein, T., Becker, T., Bauer, S., & Puschner, B. (2017). Text message feedback to support mindfulness practice in people with depressive symptoms: A pilot randomized controlled trial. //JMIR Mhealth and Uhealth, 5//(5), e59. https://doi.org/10.2196/mhealth.7095
Trub, L., & Starks, T.J. (2017). Textual healing: Proof of concept study examining the impact of a mindfulness intervention on smartphone behavior. //Mindfulness, 8//(5), 1225-1235. https://doi.org/10.1007/s12671-017-0697-y
Womack, V.Y., & Sloan, L.R. (2017). The association of mindfulness and racial socialization messages on approach-oriented coping strategies among African Americans. //Journal of Black Studies, 48//(4), 408-426. https://doi.org/10.1177/0021934717696789
Baker, S. (2016). Working in the present moment: The impact of mindfulness on trainee psychotherapists' experience of relational depth. //Counselling & Psychotherapy Research, 16//(1), 5-14. https://doi.org/10.1002/capr.12038
Bell, T., Dixon, A., & Kolts, R. (2017). Developing a compassionate internal supervisor: Compassion-focused therapy for trainee therapists. //Clinical Psychology & Psychotherapy, 24//(3), 632-648. https://doi.org/10.1002/cpp.2031
Bjelland, I.E., Johansen, A., Darnell, F., & Brendryen, H. (2017). Using a film intervention in early addiction treatment: A qualitative analysis of process. //International Journal of Behavioral Medicine, 24//(5), 740-748. https://doi.org/10.1007/s12529-017-9654-3
Brown, L.A., Gaudiano, B.A., & Miller, I.W. (2011). Investigating the similarities and differences between practitioners of second- and third-wave cognitive-behavioral therapies. //Behavior Modification, 35//(2), 187-200. https://doi.org/10.1177/0145445510393730
Bruce, N.G., Manber, R., Shapiro, S.L., & Constantino, M.J. (2010). Psychotherapist mindfulness and the psychotherapy process. //Psychotherapy, 47//(1), 83-97. https://doi.org/10.1037/a0018842
Chawla, N., Collins, S., Bowen, S., Hsu, S., Grow, J., Douglass, A., ... & Marlatt, G.A. (2010). The mindfulness-based relapse prevention adherence and competence scale: Development, interrater reliability, and validity. //Psychotherapy Research, 20//(4), 388-397. https://doi.org/10.1080/10503300903544257
Christopher, J.C., Chrisman, J.A., Trotter-Mathison, M.J., Schure, M.B., Dahlen, P., & Christopher, S.B. (2011). Perceptions of the long-term influence of mindfulness training on counselors and psychotherapists: A qualitative inquiry. //Journal of Humanistic Psychology, 51//(3), 318-349. https://doi.org/10.1177/0022167810381471
DiGiorgio, K.E., Glass, C.R., & Arnkoff, D.B. (2010). Therapists' use of DBT: A survey study of clinical practice. //Cognitive and Behavioral Practice, 17//(2), 213-221. https://doi.org/10.1016/j.cbpra.2009.06.003
Dunn, R., Callahan, J.L., Swift, J.K., & Ivanovic, M. (2013). Effects of pre-session centering for therapists on session presence and effectiveness. //Psychotherapy Research, 23//(1), 78-85. https://doi.org/10.1080/10503307.2012.731713
Eubanks-Carter, C., Muran, J.C., & Safran, J.D. (2015). Alliance-focused training. //Psychotherapy, 52//(2), 169-173. https://doi.org/10.1037/a0037596
Fatter, D.M., & Hayes, J.A. (2013). What facilitates countertransference management? The roles of therapist meditation, mindfulness, and self-differentiation. //Psychotherapy Research, 23//(5), 502-513. https://doi.org/10.1080/10503307.2013.797124
Grepmair, L., Mitterlehner, F., Loew, T., & Nickel, M. (2007). Promotion of mindfulness in psychotherapists in training: Preliminary study. //European Psychiatry, 22//(8), 485-489. https://doi.org/10.1016/j.eurpsy.2007.02.004
Grepmair, L., Mitterlehner, F., Loew, T., Bachler, E., Rother, W., & Nickel, M. (2007). Promoting mindfulness in psychotherapists in training influences the treatment results of their patients: A randomized, double-blind, controlled study. //Psychotherapy and Psychosomatics, 76//(6), 332-338. https://doi.org/10.1159/000107560
Griffith, G.M., Barbakou, A., & Hastings, R.P. (2014). Coping as a predictor of burnout and general health in therapists working in ABA schools. //European Journal of Special Needs Education, 29//(4), 548-558. https://doi.org/10.1080/08856257.2014.952915
Harper, S.F. (2013). Integrating theories and concepts: Formulation driven CBT for a client with a diagnosis of schizo-affective disorder. //Clinical Psychology & Psychotherapy, 20//(1), 77-86. https://doi.org/10.1002/cpp.771
Hipol, L.J., & Deacon, B.J. (2013). Dissemination of evidence-based practices for anxiety disorders in Wyoming: A survey of practicing psychotherapists. //Behavior Modification, 37//(2), 170-188. https://doi.org/10.1177/0145445512458794
Horst, K., Newsom, K., & Stith, S. (2013). Client and therapist initial experience of using mindfulness in therapy. //Psychotherapy Research, 23//(4), 369-380. https://doi.org/10.1080/10503307.2013.784420
Ivey, G. (2015). The mindfulness status of psychoanalytic psychotherapy. //Psychoanalytic Psychotherapy, 29//(4), 382-398. https://doi.org/10.1080/02668734.2015.1081267
Keane, A. (2014). The influence of therapist mindfulness practice on psychotherapeutic work: A mixed-methods study. //Mindfulness, 5//(6), 689-703. https://doi.org/10.1007/s12671-013-0223-9
Keng, S.L., Waddington, E., Lin, X.B., Tan, M.S.Q., Henn-Haase, C., & Kanter, J.W. (2017). Effects of functional analytic psychotherapy therapist training on therapist factors among therapist trainees in Singapore: A randomized controlled trial. //Clinical Psychology & Psychotherapy, 24//(4), 1014-1027. https://doi.org/10.1002/cpp.2064
Lalande, L., King, R., Bambling, M., & Schweitzer, R.D. (2016). Guided respiration mindfulness therapy: Development and evaluation of a brief therapist training program. //Journal of Contemporary Psychotherapy, 46//(2), 107-116. https://doi.org/10.1007/s10879-015-9320-5
Lin, P., & Seiden, H.M. (2015). Mindfulness and psychoanalytic psychotherapy: A clinical convergence. //Psychoanalytic Psychology, 32//(2), 321-333. https://doi.org/10.1037/a0038170
Lord, S. (2015). Meditative dialogue: Cultivating the transformative theater of psychotherapy. //Psychoanalytic Social Work, 22//(1), 71-87. https://doi.org/10.1080/15228878.2013.877395
Millon, G., & Halewood, A. (2015). Mindfulness meditation and countertransference in the therapeutic relationship: A small-scale exploration of therapists' experiences using grounded theory methods. //Counselling & Psychotherapy Research, 15//(3), 188-196. https://doi.org/10.1002/capr.12020
Moll, S.E., Tryssenaar, J., Good, C.R., & Detwiler, L.M. (2013). Psychotherapy: A profile of current occupational therapy practice in Ontario. //Canadian Journal of Occupational Therapy, 80//(5), 328-336. https://doi.org/10.1177/0008417413515849
Moltu, C., & Binder, P.E. (2011). The voices of fellow travellers: Experienced therapists' strategies when facing difficult therapeutic impasses. //British Journal of Clinical Psychology, 50//, 250-267. https://doi.org/10.1348/014466510X514355
Napoli, M. (2011). React or respond: A guide to apply mindfulness for families and therapists. //Families in Society: The Journal of Contemporary Social Services, 92//(1), 28-32. https://doi.org/10.1606/1044-3894.4060
Pakenham, K.I. (2015). Effects of acceptance and commitment therapy (ACT) training on clinical psychology trainee stress, therapist skills and attributes, and act processes. //Clinical Psychology & Psychotherapy, 22//(6), 647-655. https://doi.org/10.1002/cpp.1924
Pakenham, K.I. (2015). Investigation of the utility of the acceptance and commitment therapy (ACT) framework for fostering self-care in clinical psychology trainees. //Training and Education in Professional Psychology, 9//(2), 144-152. https://doi.org/10.1037/tep0000074
Pakenham, K.I., & Stafford-Brown, J. (2013). Postgraduate clinical psychology students' perceptions of an acceptance and commitment therapy stress management intervention and clinical training. //Clinical Psychologist, 17//(2), 56-66. https://doi.org/10.1111/j.1742-9552.2012.00050.x
Pitman, S.R., Hilsenroth, M.J., Goldman, R.E., Levy, S.R., Siegel, D.F., & Miller, R. (2017). Therapeutic technique of APA master therapists: Areas of difference and integration across theoretical orientations. //Professional Psychology-research and Practice, 48//(3), 156-166. https://doi.org/10.1037/pro0000127
Razzaque, R., Okoro, E., & Wood, L. (2015). Mindfulness in clinician therapeutic relationships. //Mindfulness, 6//(2), 170-174. https://doi.org/10.1007/s12671-013-0241-7
Romanelli, A., Tishby, O., & Moran, G.S. (2017). Coming home to myself: A qualitative analysis of therapists' experience and interventions following training in theater improvisation skills. //Arts in Psychotherapy, 53//, 12-22. https://doi.org/10.1016/j.aip.2017.01.005
Ryan, A., Safran, J.D., Doran, J.M., & Muran, J.C. (2012). Therapist mindfulness, alliance and treatment outcome. //Psychotherapy Research, 22//(3), 289-297. https://doi.org/10.1080/10503307.2011.650653
Segal, Z.V., Teasdale, J.D., Williams, J.M., & Gemar, M.C. (2002). The mindfulness-based cognitive therapy adherence scale: Inter-rater reliability, adherence to protocol and treatment distinctiveness. //Clinical Psychology & Psychotherapy, 9//(2), 131-138. https://doi.org/10.1002/cpp.320
Shamoon, Z.A., Lappan, S., & Blow, A.J. (2017). Managing anxiety: A therapist common factor. //Contemporary Family Therapy, 39//(1), 43-53. https://doi.org/10.1007/s10591-016-9399-1
Shapiro, S.L., Brown, K.W., & Biegel, G.M. (2007). Teaching self-care to caregivers: Effects of mindfulness-based stress reduction on the mental health of therapists in training. //Training and Education in Professional Psychology, 1//(2), 105-115. https://doi.org/10.1037/1931-3918.1.2.105
Stafford-Brown, J., & Pakenham, K.I. (2012). The effectiveness of an ACT informed intervention for managing stress and improving therapist qualities in clinical psychology trainees. //Journal of Clinical Psychology, 68//(6), 592-613. https://doi.org/10.1002/jclp.21844
Twemlow, S.W. (2001). Training psychotherapists in attributes of "mind" from zen and psychoanalytic perspectives, part II: Attention, here and now, nonattachment, and compassion. //American Journal of Psychotherapy, 55//(1), 22-39. https://doi.org/10.1176/appi.psychotherapy.2001.55.1.22
Waelde, L.C., Thompson, J.M., Robinson, A., & Iwanicki, S. (2016). Trauma therapists' clinical applications, training, and personal practice of mindfulness and meditation. //Mindfulness, 7//(3), 622-629. https://doi.org/10.1007/s12671-016-0497-9
Walser, R.D., Karlin, B.E., Trockel, M., Mazina, B., & Taylor, C.B. (2013). Training in and implementation of acceptance and commitment therapy for depression in the veterans health administration: Therapist and patient outcomes. //Behaviour Research and Therapy, 51//(9), 555-563. https://doi.org/10.1016/j.brat.2013.05.009
Williams, E.N. (2008). A psychotherapy researcher's perspective on therapist self-awareness and self-focused attention after a decade of research. //Psychotherapy Research, 18//(2), 139-146. https://doi.org/10.1080/10503300701691656
Yip, S.Y.C., Mak, W.W.S., Chio, F.H.N., & Law, R.W. (2017). The mediating role of self-compassion between mindfulness and compassion fatigue among therapists in Hong Kong. //Mindfulness, 8//(2), 460-470. https://doi.org/10.1007/s12671-016-0618-5
Arif, M., Sadlier, M., Rajenderkumar, D., James, J., & Tahir, T. (2017). A randomised controlled study of mindfulness meditation versus relaxation therapy in the management of tinnitus. //Journal of Laryngology and Otology, 131//(6), 501-507. https://doi.org/10.1017/S002221511700069X
Biesinger, E., Kipman, U., Schatz, S., & Langguth, B. (2010). Qigong for the treatment of tinnitus: A prospective randomized controlled study. //Journal of Psychosomatic Research, 69//(3), 299-304. https://doi.org/10.1016/j.jpsychores.2010.04.013
Gans, J.J., O'Sullivan, P., & Bircheff, V. (2014). Mindfulness based tinnitus stress reduction pilot study a symptom perception-shift program. //Mindfulness, 5//(3), 322-333. https://doi.org/10.1007/s12671-012-0184-4
Hesser, H., Gustafsson, T., Lunden, C., Henrikson, O., Fattahi, K., Johnsson, E., ... & Andersson, G. (2012). A randomized controlled trial of internet-delivered cognitive behavior therapy and acceptance and commitment therapy in the treatment of tinnitus. //Journal of Consulting and Clinical Psychology, 80//(4), 649-661. https://doi.org/10.1037/a0027021
Hesser, H., Molander, P., Jungermann, M., & Andersson, G. (2013). Costs of suppressing emotional sound and countereffects of a mindfulness induction: An experimental analog of tinnitus impact. //PLOS ONE, 8//(5), e64540. https://doi.org/10.1371/journal.pone.0064540
Kreuzer, P.M., Goetz, M., Holl, M., Schecklmann, M., Landgrebe, M., Staudinger, S., ... & Langguth, B. (2012). Mindfulness-and body-psychotherapy-based group treatment of chronic tinnitus: A randomized controlled pilot study. //BMC Complementary and Alternative Medicine, 12//, 235. https://doi.org/10.1186/1472-6882-12-235
Philippot, P., Nef, F., Clauw, L., de Romree, M., & Segal, Z. (2012). A randomized controlled trial of mindfulness-based cognitive therapy for treating tinnitus. //Clinical Psychology & Psychotherapy, 19//(5), 411-419. https://doi.org/10.1002/cpp.756
Roland, L.T., Lenze, E.J., Hardin, F.M., Kallogjeri, D., Nicklaus, J., Wineland, A.M., ... & Piccirillo, J.F. (2015). Effects of mindfulness based stress reduction therapy on subjective bother and neural connectivity in chronic tinnitus. //Otolaryngology-Head and Neck Surgery, 152//(5), 919-926. https://doi.org/10.1177/0194599815571556
Sadlier, M., Stephens, S.D.G., & Kennedy, V. (2008). Tinnitus rehabilitation: A mindfulness meditation cognitive behavioural therapy approach. //Journal of Laryngology and Otology, 122//(1), 31-37. https://doi.org/10.1017/S0022215107007438
\define getSideTabs()
<$button tooltip="List SideBar Tabs">
<$action-setfield $tiddler="$:/core/ui/SideBar/More" $field="side-bar" $value="tabs"/>
<$action-setfield $tiddler="$:/core/ui/SideBar/Tools" $field="side-bar" $value="tabs"/>
<$action-setfield $tiddler="$:/core/ui/SideBar/Recent" $field="side-bar" $value="tabs"/>
<$action-setfield $tiddler="$:/core/ui/SideBar/Open" $field="side-bar" $value="tabs"/>
<$action-setfield $tiddler="TableOfContents" $field="side-bar" $value="tabs"/>
<$action-setfield $tiddler="$:/AdvancedSearch" $field="side-bar" $value="tabs"/>
<$action-setfield $tiddler="$:/AdvancedSearch" $field="caption" $value="Search"/>
<$action-setfield $tiddler="$:/_SideBar/Wiki" $field="side-bar" $value="tabs"/>
<$action-setfield $tiddler="$:/_SideBar/Wiki" $field="caption" $value="Wiki"/>
<$action-setfield $tiddler="$:/_SideBar/Wiki" $field="text" $value="""
<div class="tc-more-sidebar">
<<tabs "[all[shadows+tiddlers]tag[$:/tags/WikiSideBar]!has[draft.of]]" "$:/core/ui/SideBar/More" "$:/state/tab/wikisidebar" "tc-vertical">>
</div>
"""/>
{{$:/core/images/new-button}}
</$button>
\end
<table>
<tr><th>Toggle Sidebar Tabs</th><th><<getSideTabs>></th></tr>
<$list filter="[field:side-bar[tabs]!has[draft.of]]">
<tr><td><$view tiddler={{!!title}} field="title"/></td><td><span title="Toggle Tab"><$checkbox tiddler={{!!title}} tag="$:/tags/SideBar"/></span></td></tr>
</$list>
<tr><th>Toggle ~WikiSidebar Tabs</th><th></th></tr>
<$list filter="[field:side-bar[tabs]!has[draft.of]![$:/_SideBar/Wiki]]">
<tr><td><$view tiddler={{!!title}} field="title"/></td><td><span title="Toggle Tab"><$checkbox tiddler={{!!title}} tag="$:/tags/WikiSideBar"/></span></td></tr>
</$list>
</table>
/9j/4AAQSkZJRgABAQEAYABgAAD/4RC6RXhpZgAATU0AKgAAAAgABAE7AAIAAAAYAAAISodpAAQAAAABAAAIYpydAAEAAAAwAAAQguocAAcAAAgMAAAAPgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEtFRSBZaW5nIEh3YSAoUEVTUyxHUEwpAAAB6hwABwAACAwAAAh0AAAAABzqAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABLAEUARQAgAFkAaQBuAGcAIABIAHcAYQAgACgAUABFAFMAUwAsAEcAUABMACkAAAD/4QpwaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49J++7vycgaWQ9J1c1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCc/Pg0KPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyI+PHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj48cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0idXVpZDpmYWY1YmRkNS1iYTNkLTExZGEtYWQzMS1kMzNkNzUxODJmMWIiIHhtbG5zOmRjPSJodHRwOi8vcHVybC5vcmcvZGMvZWxlbWVudHMvMS4xLyIvPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvIj48ZGM6Y3JlYXRvcj48cmRmOlNlcSB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxyZGY6bGk+S0VFIFlpbmcgSHdhIChQRVNTLEdQTCk8L3JkZjpsaT48L3JkZjpTZXE+DQoJCQk8L2RjOmNyZWF0b3I+PC9yZGY6RGVzY3JpcHRpb24+PC9yZGY6UkRGPjwveDp4bXBtZXRhPg0KICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICA8P3hwYWNrZXQgZW5kPSd3Jz8+/9sAQwAHBQUGBQQHBgUGCAcHCAoRCwoJCQoVDxAMERgVGhkYFRgXGx4nIRsdJR0XGCIuIiUoKSssKxogLzMvKjInKisq/9sAQwEHCAgKCQoUCwsUKhwYHCoqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioq/8AAEQgBygFhAwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A+kaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOb8W/EHwx4F+y/wDCVan9g+17vI/0eWXftxn7inH3h1rmv+Gg/hj/ANDN/wCSFz/8brvNR0XS9X8v+1tNs77y87PtNusmzPXG4HHQV4j8T/D2i2nxv+HVra6RYQW9xO4mhjtkVJRuX7ygYP40o3clHu7BJqMHLsrnoOi/GnwB4i1q20nR9f8AtF9dPshi+xzpuOM4yyADp3Nd1XN6jp/g7whp02vXmlaVp0NivmtcpZxqyf7pC5yegA5JOK4mL4z67qNp/a2hfDTWr7QcbhetMscjp/eSHBLD6GndBZnrVFYHgzxro3jvw+mr6BOzxFiksUg2yQuOquOx/Q9q4+/+MVxd+ILzSvAXhG+8VHT38u8uoZlggjYdVVyCGPtxntmh6OzBaq56fRXl2ifG6z13x7pHhWDQ7u0vbwTLex3rGKWxkjQvtKbTvBA4O4denatjxv8AE+18J6ta6FpulXev+ILtN8Wm2WMqn95252jg9j0z0oeiT77B1sdzWRr/AIq0bwubEa7efZf7QuVtLb907+ZK3RflBx9TgV5nrnx9m8LaXMPE/gu+0nWRta3sbi4BiuULAMUnVCCVzkjb+NO+O0nmx+ApMY3+IrZsemaNdH0ul+KB6X9Gz2Giue8a+N9G8BaCdU12VwrN5cMEK7pZ3/uovc/XAFcPJ8Z9Z0uBNT8T/DjWdK0JyP8ATxKsrxKf4pItoKD6mi9wPWaKrafqFpq2m29/p06XFpcxiSGWM5V1IyCKfeNMljO1ooacRsYlPdscfrSl7qd+gR97Y53xN8SvB3g+fyPEWv2tpcAAmAbpZVB6EogLD8RTvDPxG8I+MJfJ8Oa9a3k+NwgyY5SO5COAxH4V5D8BrHwVrGm3s3iiPT77xjNeym7j1VVeYHPGxX/HJAznIPauy+IXwZsdchs9Q8DW+n+HvENlcpLDeQp5ClQedwReT3Bx2xnBNVa1r9bbef8AkG97dO53fibxVo3g7SP7U8R3n2Oz8xYvN8p5PmPQYQE9vStZHWSNXQ5VhkH1FcD8WPEll4T+Hseo+IfD1n4jT7RFHJZ3BXyy5B+cbkYcEHHHetzxZ420fwP4VGta2zRwEKkUEK7nlcjIRBxk/kOKXRvs7fgg1bXmjfuLiO0tZbi4bZFChd2wThQMk4HtWd4c8S6T4t0SLV/D139rsZWZUl8t48lTg8OAeo9K83vPizqb6Ddy+KfAuq+H9JvLaSODUZXEqqWUhfNQKDECSBk55Iqx+zrIkXwO06SVlREmuWZmOAoErZJNJX5pJ7JL8weyt1Z6rRXlR+NF5rN7cr8PvBOpeJ7G0cpNfrMLeFiOvlllO/6cH26V1Pgb4h6X46guktYLnT9SsH8u9029TZNA3uO44PP54prUHoamk+K9F13WNU0vSrzz73SJFjvYvKdfKZs4GWADfdPQnpWxXzx4Y8bJ4T+L3xFt7bSr3WdV1DUYls9Ps1y0m3zCzMx4VRkZPuK9A8O/Fz7X4pg8NeMvDl74V1i65tY7iQSw3HssoABP4YzxnPFEfeUWuqX5XCXuykuzPR6K5Xxz8QdL8CWtob6G5vb6/k8qy0+yTfNcN7D05HPuOtcbf/GnXvDqLe+MPhtqulaQzAG9juknMeTgFkCjb+JoWoHrlFcf41+INt4V+Gr+MbC1XVrXZDJDGs3lCVJWUA7tpxw2elZfh/4n6p4m1qzGk+CtRk8P3b7E1p5Qi5xywjK5KcEBsjPpTs27CurXPQ2YKpZuABk15w37QPwyVireJsEHB/0C5/8AjdekEAjBGQa5rVPB3hhdIvHXw5pIYQOQwsYsg7Tz92ok3FNlxSbsc3/w0H8Mf+hm/wDJC5/+N12fhrxRo/i/RU1bw7d/bLF3ZFl8p48lTgjDgH9K8k/Zy8OaJqnwnW41PRtPvJ/t0y+bcWqSNgbcDJBNdZrvxD0vwhrq+EPB3hmfWNYCec+n6XGkUUAODmRuiZyD0PUZxkZ0klF2f9dTOLcldf10PRax9Y8V6LoGqaXp2rXn2e61aUw2UflO3muMZGVBC/eHXHWuF034zXFv4osdC8d+D7/wvcajII7SaSZZ4JGJwBvAXuQOM4yM4rG+O2p2mi+Ofhzqeoy+VaWmoTTTPgnaq+UScDrU9Y32bsWtbpbpN/g7HtdFeTXXxr1PToV1bVPh3rlp4bYgjUmZTIqno7Q4yo9y1d1feNtB0/wO3i2W9V9H8gTrOgyXB+6AP7xJAx60PRXYlq7I36K8mf4xeJEsTrB+F+sjQQnmm7NwnnCPrv8AJxnGOeuPevQ/C/ibTfGHhu01zRZWks7pSV3rtZSDgqw7EEEU7MV0a1FFFIYUUUUAFFFFABRRRQAV4r8Vv+S9fDP/AK+JP/Qkr2qvL/iD4P13XPi54G1rS7Hz9P0mZ2vJvORfKBZSPlZgT0PQGiP8SD8yamtKa8jN/aTdm8E6JZuxW1vNagiucdCm1zz+Iz+FevwQx29vHDboqRRqERFGAqgYAFc58QfBVp4/8G3WhXspgMhEkE6jJhlX7rY7jsR6E1xFnf8Axs0fTk0RvDujatNEgii1s3wVMAYDPGSGY/QChOya87/gv8imrtPyt+P9fcc5oU02hfEj4wwaCpWGGwN3GkfRZ/LLcD13M35V2n7PdrbW/wAFdHktsFrhppZmAwWfzWBz64CgfhV34b/Do+DNJ1S68RX0epazrMhn1S6PEZ6/KM4+Ubm5469AMCuS8O6R46+Hf2m0+HlnpvjDwpdTtNZL9vSOS03dV3k4Zc+mc9eMmiPurlfZK/pfT8fwCXva+bf3r+vvJfFVnawftYeDLmEKtxcWE/ngDk7Y5QpP4ZH4U/4Yf6d8efiTfXy5vLeaG3hLclYvmGB6AhErmrLTvE//AA1R4bu/F9zay6jPp8tw1vZ58q0j2TIsak8n1J9WNdd4l8Na5pnxMufF/wAL7nTb7UpIVg1nRbi4C+bgDa3X5Wxjrj15yRTj7qi32kvS8n/w3zHPVyS/u/l/TI/2mLK1uPhN9pnVfPtr6FoGI5BYlSB+BP5VF8cP+PT4ff8AYwWv8q4r43jx9rngi31LxhZ2WhWUN7HHbaTbzi4lnlYMN7uDt4AOAPU5r074qeEta8SW/g5dEs/tR03WILm6/eonlxKOW+YjP0GT7Uoq0f8At5f+2in0/wAL/U474yXOrP8AHbwTb6Xo6azJbQSXNrYy3CxJNLlifmbgFQitz6AV0V/4m+K+o6dcWV18KbV4biJopFbXLcgqwwRjPvW78Tfh9d+L10zVvDt8uneItFlM1jcSA7GzjKPjPBwOcHvxgmucv734169pUmh/8I3o+jSToYZtYF+HQKRgtHGCWU49QalL93yev4lN++pen4G78EPD/iHwt8NYdH8V2htLq2uZfKjMySYjY7hyjEdS3Ga7nU9StNG0u51HUphBaWsZlmlIJCKOpwOayPAvhKHwR4OstDguHujbqTLcSZzK5OWbHYeg7ACtq+srfUtPuLK9jWW3uY2iljboysMEfka0qNtuxnTSS1PPtW+Gfw6+K1jH4hSzWQ3ybk1KxZoXkGcZIIwTxjLKTxXEeI/Aviz4O6LL4k8DeML6+0zT9rz6RqZ8xDHkA4x8vfsqnGcHtV7T/BvxT+FrTWPgCXTvEfh9pGkgsdQfZLBk5IBLKPx3YJ52jNP1Hw38WvifbrpPjNdM8K6Czq11FZP5s86g525DMOo9R7g9Ki3/AD709f1L/wAepH8dNaj8R/s86ZrMMZiS/ntbgRt1TcpOPwqx8TQL34s/C3Trz5rFp3mMbfdaRQhXPryB+fvW18YfAuoa38JbXw34N04TvaTwCG3EqR7YowR1cgcDHetT4jfD2bxr4d006beDTde0eRbnT7sjISQAZVsdjgcjPIHXpVJpSclsp3+Vl/XyJabiovfla+Z1mvWVvqPh3UbO9RXt57aSOVWHBUqQa8E8M3VxZ/sXajLaZ8wx3EZ2nBCtPtY/98k11d6fjJ4o0eXw7f6NpOhpNGYbvWYrsSeYhGG8qMNlWI/vevbtq/C3wJeaf8E18J+MrH7PJOLiO4gEqvhJHbGGQkZwc9eKzcW1O3VfqWpJOD7M5P4ea98SNG+Hei2fh/4Z211p62qPDcjWYI/PDDd5hUnILE5weeau+FdF8fXfx2TxdrvhKPQLG409rS88vUIZw5AyrHa2SchR07VJoemfFb4aWP8AYGjaTp/i7RoSRYzveLbTQITkK+8gED0GfrjgbfgLwP4kj8Y33jbx/eQNq93EILews2JhtI/Tnqfz6nk542unPmXnv5/16GVrR5fT8zK+FFnat8YviXelVN2l/HEGPVUO4n8yB/3yKi/aUXyPB+g6laqP7QtNahNq4+8CVY4H4qv5Cqdj4L+Ivhz4leLPFnh21tHjvbz5NPvJ1CX8JydysrEo6npux941pw+EPGnxD8XaXq3xHs7PRdH0eX7RbaPbTiZ5ph0aR1yuBjsfbHJNRT2p+XLf5Wf9eZo3aU3ve/46f15Gn8Q/EvhTw74s0O6vtDutd8XBG/sy0sVZ5VUggkjOAPvckE8EgcZHK/ETxX8Qtc+HGuR3fw/h0TSjaOZ7m+1NJHCdfljUAhvTPGa3viB4J8VRfErTfH/gSO0v721tTa3GnXcmzzU+blWOAOGPUjGAeeRVHxTo3xT+JHhO+0zUtP07wvZtCzG1juRc3F5Ioyke8HYiFgMnOfwzUS1ptev9eY46TXy1/rYxvGf/ACZnp3/XjY/+jEr2nwtaxWXhDR7W3ULFDYwogA6AIK8w1zwV4o1T9mG18Kx6SRrsMNvC1mbiL/lnKpzv3bPurnr+tes6TBJa6LZQTrtlit40dc5wQoBHFbPefr+hivsen6luqmrf8gW9/wCveT/0E1bqvqETz6ZdRRDc8kLqozjJKkCsamsGl2N4aSR5R+zJ/wAkeX/sITf+y0+/8baDoHxF1m28B+Dr7xH4mm2jVZrNisakdFeRiQpHsMds5GBq/AvwprXg34bjSvEln9jvftksvleaknynbg5QkdvWucg8KfED4ceO9f1TwXpFl4k0nXrj7S9vLdLbzQuST95iBgFmHfIx0rabTmvT9FoY001Tfq/zepzHxW1nxprL+FJfFXhS18PWS67B5C/b1uZ3c5/u8BcZzkZziuu+NFlbah8SPhla3yK9vJqcodG6NgxHB/EVkePvBHxQ8aw6ZreoQWCz6bfRy22g2My/KmctI8shCs4wBgcYz+PRfGPwJ4h8b614Pk8PBrYWFzLLPeB0zZk+WUfaWBbBXouelTHRxfaX6Ivdy13i/wD249O1O2gvNJu7a7RXt5oHSRWHBUqQQfwrwj4X+FH+IX7NF54bubpoFN7KtnORuCbWV1yO43E5+protWPxn8QaZL4bk0fRtLW4QwXOuxXm5WQ8MY4871JHqO/bqNzU/hLZyfBxfA2j3slo0CBobs5BaYHcWYDsxJyOwPtU20k31t+d7/Id9Yrs/wBLHJx+JfjH4GshbeI/CNn4q023jEZutNkxK6gY5UZJ4/6Zj616F8NfFPh7xd4Pjv8AwpZpp9okjRSWawrH5EgwSpVeO4OR1BrkbfV/jZaaemkyeFNHu7pIxGNY/tBREeMb2jzuJ78AfTtXT/CzwHJ4A8JNYXl2t5qF3cPd3s0YwhlbAIUegAA6DPXA6Vd73uR0VjtKKKKkoKKKKACiiigAooooAKKKKACiiigBHRZI2RwGVgQQe4ryHT/hv4/8ByXNn8NfEWlPolxM00djrML5tS3UIyAk/jge2ck+v0Udbh0scB4I+HN7oviW88WeL9Z/tvxHeRCDzUj8uG2i/uRr+A54+nJJp+Kfhvrw8cyeM/h7rdvperXEIhvLW9iL290BgAkjJU4A6A9OMc59Loo7eQd/M8pg+GvizxXr+nal8U9dsbq10yYT2+k6VEywNIOjuzAMfpg/UAnPq1FFO+lg63CiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVC7RWvDuUH92vUe5qHyo/wDnmv8A3zQBq0VleVH/AM81/wC+aPKj/wCea/8AfIoA1aK4k+PPBCsQ3irw+CDgg6jBx/49W+iwSxrJEI3RgGVlAIIPQg0B5GvRWV5Uf/PNf++aPKj/AOea/wDfNAGrRWG9zYR30VlJNbJdzIzx27OokdVxkhepAyMntmp/Kj/55r/3zQBq0ViXk9jp9nJd38tva20S7pJpmVEQepY8AVTTXvD8ujtq8eq6a+mocNercRmFTnGC+dvUgdetAHT0VkssKRl3EaooyWIAAHrmorSey1Cziu7CS3ubaZd0c0LK6OPUMOCKANuisOW50+C9gs5p7aO5uAxhgd1DyhRltq9TjvjpU/lR/wDPNf8AvmgDVorK8qP/AJ5r/wB80jpDGjO6xqqjJYgAAetAGtRXEf8ACe+Bz08V+H//AAYwf/FV0Plxbc7ExjOcCjzA1qKw7K5sNSs47vTpra7tpMlJoGV0bnHDDg8ip/Kj/wCea/8AfNAGrRWV5Uf/ADzX/vmjyo/+ea/980AatFZXlR/881/75poij85hsXG0dvrQBr0V4z4h0O48WfHhPD7eIdc0ewj8NC92aRem33Si5KZIwQflb0zwOeK2P+FI2/8A0UDx3/4Oh/8AG6APTqK8st/g5p935v2X4j+NpvJkMUnl66rbHHVThOCM9Kl/4Ujb/wDRQPHf/g6H/wAboA9Oory74KXdzqvwf0S91S4lvbqXz/MnuXMjvi4kAyzZJwAB9BXpVkMWigcDc3/oRoAnooooAKKKKACiiigAooooAKKKKACiiigAooooAo3X/H4f+ua/zNR1Jdf8fh/65r/M1HQAUUUUAeT6r4Q8Lw/GjS7YeGtJNq+i3U8luLGLZI4kTDFduC3JGevNY+n+NPGEHhzSPHEuuafNpOoahHaDw3BZIPKjZzGFSUfOZFAztPHXsMV7DJomnza/BrUlvnULeBreObe3yxsQWXbnByQOcZrDtfhh4Ms/FB8RW2gW0ep7zIJQzbVc/wAQjzsB75AznnrSppxtf+tb/lp5dAn717f1pb89fM871zxp40bQPF3inT/EdjYWWlX0unQaW1mjMpR1USeY2SHOchSCCD2yCN3U/EfirUfGus2uj67ZaPZeHdOiupobm0WQXzSRlyWckFEXGNy9D1B6Vh+I/gtr2teMtYvI5fD5s9VlG6/mhkF7bwnaWVEUCItwRvPzEE5YZrU8f/C7Xtf8Y2+taIPD92sNoII01iKRWt3H8amIfvPUCTcFPQc0teRd/wDgf5/1ZF6cz/rqv0/q5maf4mvp9Q8G+JdTJvb0eFr+7lwoUysuxsYUADOOwpPhp4+8c634o006vbatfaVqsbvLJNoYtrayO0shinVj5iE/Ll8HGO9ej+G/Aum6Dpmhxzr9svtHsTZRXRLLlWxv+TOMEgdcketM0H4aeD/DGuS6voWhwWl9JuBlV3YJuOTsViVT0+UDjjpxWmin5a/m3+qMteXz0/JL9H6lL4raCPEnha106LUrCyvDfwy2kWosBDeSrkiFlP3gRngA9OleZzauulfDfxxZHwlZeG/EFibOS/tYxHc2cpdkCukTbo14z8oBxwck9PcPEHhzSPFWkvpniCwivrRyGMcmRtYdGVhgqeTyCDyax7P4Y+D9P8M3nh+z0WOLTb5le5iE0m6UqQVzJu38EDAzjr6mlC0W2/62/wAjVSV4t9DlfEWteKdY8X+INM0TXrLRLHw/p0c8sVzaLKL4yRsx3MSCiADG5eme9cVH428SaV4P8E+HvDDalbGXRheSz6XpKahO+GKhBG7ABR1LdeV969k1/wCHXhPxTqlvqOv6JBe3dsuxJHZhlewYAgOB6NnHNQ6n8MPB2s6Fp2j6losc9lpi7bRDNIrRL6BwwYj2JIOB6Cps7f15/wCa0I0/D/L/ACf3nnN5qfijxLrPw7nuGXw1r91DqEMkl5ZnMRChd6wuR8zAZCnjnuK07Hxfr82gapoV/wCK4bfXbPW/7LtdVh0tZ3vWI3hFhBCI/wDCSflUDk5+au21H4aeD9W02w0+/wBDgltNOheG1hDOqxK4AbGCOTgHcec85zzTJvhh4Nn8KReG5NChOlQy+ckAkcMJP728NvJwcZJ6cdKp63t/Wt/lpf7w7f10f39PuPOYPHfjVPAmpJJqKtrdh4kh0tbm4tIVLqzKCsiRlkHLEHa3TvnmvXtC0/UrLQ0tPEOqjW7vLebdG1SASAk4HlrwABx71mWvw48J2Vi9nZ6OkFs9zDdmGKWRU86IDY4AbAPyjOPvdTmunpLZ3/rRfrcXX+u7/Sx5Bd+F/CVh8YdQS40LRLfTrbw2Lpll0+MwxMJmzIUwBkAdeuBjNN8MeKPFMfxC0/TNU16TW9G1rTprq0ml0yGzUqFDK8YRzJjBxiQKfY9a9Nn8N6TdavPqdzZLLd3FmbGZnZirwEklCuduMk9s1i6F8LfBnhm9gvND0RLS5gMhSZZ5Wb51CsCSx3DA4ByAckAEk0uln2f43/zX3Dlq7ry/BL87M8q8Haz4p8M/D/wrrsHiCzn0aXUF09tES0XLK8rqW87JYyAnO0YHHsc9FL4l8a6P8SVHi3VrvStGmvzHbRpocc9jLEW2RqblJPMjkfrhhwTkjbxXYaX8J/A+jaxa6ppvh+CG8tB+5lMkj7TkncQzEFufvEEjjngU4fCrwSPFI8RL4fgGpibzxKHcJ5n97y92zOefu9eevNWn7yb/AK2/4O/cUtU7f1v/AF8jr6KKKkYUwf65v90f1p9MH+ub/dH9aAOEtP8Ak6E/9id/7e11fibxonhi8ht38PeIdV82PeJNK05rlE5xhiDwfauHu9b0rQf2lxda5qdnptu/hHy1lvLhYUZjeZCgsQM4BOPY13P/AAsfwR/0OXh//wAGkH/xVAHmfw++IsWl3Hi0nwr4ru/tfiK4uR9k0d5PJ3JF+7k/uyDHK9sj1r2u1n+1WcNx5UsPnRq/lzLtdMjOGHYjuK868G+IPCHhuXxE11458NS/2trU+ox+XqkPyI6oApy3X5D+ddN/wsfwR/0OXh//AMGkH/xVAHG/AT/kiOgf9vH/AKUy16fZf8eo/wB5v/QjXmHwE/5IjoH/AG8f+lMten2X/HqP95v/AEI0AT0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAV3hSa8fzATiNcYYju3pVHWb/RPD2mvqGuX0NhaIcGa4nKLnsBk8n2HJrRX/j8k/65r/Nq4j4l2FxPFDfaVd2B1Czsrr/QbxyPOgcIsjoRkqy/KA20j5ypxuzR1DodhapY31pFdWUq3FvMgeKaKYujqeQQQcEH1FOWGzeZ4kfdJHjeglJK56ZGeM1g+D5Y73S2+zWkmhyWWoTre2EUiSxtMSS4DlclCzhwV2HOMgcrVzwtm4tL3U266jeSTJzkGNf3cZHsURW/4EaP8ri/r8y/dLYWNpLdXsy21vCheWaacokajkksTgAepqlY6x4c1TT7i/0zWLG8s7bPn3NvfLJHFgZO5gxC4HPPaq3jTTm1TTrK2tdRsrLUUvY7iwW+XfFcTR5cIybgWGAT8pyNu7+GuU1DXNZ0mTVpfEGj2On+Jo/DdxPa6rply00FwIhllKOilSrsjAMG4cgN1yr6Nv8ArS/9L5lxjzSSXW352PQ2hs1tzOzgQhd5kMp2hcZznOMY70sUFpcQpNA3mxSKGR0lJVgRkEEHkVwWoXut+IbDxI0GtvpsOk2ixLbrBEyXLtbLK7yllLbT5gUBCmNpOTnAoW+ua9drY6LocesrFYaLZTNJpCWJcvKjY3/a2A2YQYCLnO7LdBT6tdrfjf8AyIvt5/8AA/zO61bXPDGgzRw67ren6bLIu5EvL9YWYdMgMwyKv2gsL+ziu7GZLm2mUPFNDOXR1PQhgcEe4rhrS98Vv4ztJv7G086rJoMf223ur9rdYm85vumOOYHJ7Z49TVPS9YfTPDV9Y3FxcaJqp8QXEM8GlWovXklcG4CW2UIwyMrF3TA+fIU8gjdq/r+Dt/X3De/9drnpf2KD0b/v43+NVryXS9OEZ1C7htRK4SMz3OzexIAAyeSSQMe9ed2viXxQdN1KykvLu3u7fX7Oxjl1GG1NwkMwiLhxBmIn522kD0z3rZ1zQ7nXl1bTReTXM2n6T5EF3ME3tcyHzNzBFVQy+XCeAB83SlfTm6f8C/6pBre39b2/4PodbL/Z0N5BaTXEcdzcBjDC85DyheW2rnJxkZx0zTGn0lLsWr3kK3BkEYhNzh95UuFxnOSoLY9ATXn97qCa7s8b27botFayaIMpGxWUPckEdcxXAB7Zj9qt6ZfXltcadqFvLsXxJ4iuGnAAbzIFglWIAkcArBG2Rj9TltNXT3/4a33p/gCae3b9Hf7rHcQf2fc2SXltOk1q6eYs8c5ZGX+8GBwR70+CGzubeOe2cTQyqHjkjmLK6kZBBBwQR3ryv4a69qt9oFnZvPNo8Gk6Ms1taNHGz6kCrL55YhsRqy4CrhuhY4YLXpXhe8n1HwjpF7eSeZcXNlDLK+0DczICTgcDk9qdt/67/wCQStGXL6/hb/MvfYoPRv8Av43+NH2KD0b/AL+N/jU9FICD7FB6N/38b/Gj7FB6N/38b/Gp6KAIPsUHo3/fxv8AGj7FB6N/38b/ABqeigCD7FB6N/38b/Gj7FB6N/38b/Gp6KAIPsUHo3/fxv8AGo1tIftLrhsBFP329W96t1Ev/H5J/wBc1/m1AHOa94Z8K6nqKPrPhq01e7WIAST28crImTgbnPTO7j61nJ4G8BGRFl8C6XEHYKHewgIBJwOmT1rZ1NiNdfnGbaP/ANCkqtIx8y3GTzcw9/8ApotAB/wrDwJ/0J+h/wDgBH/hR/wrDwJ/0J+h/wDgBH/hXU0UAZ9hoWl6VYx2Wl2UVlaxZ8uC2HlomSScKuAMkk/U1atVCwbR0DuB/wB9Gpqit/8AVH/ro/8A6EaAJaKKKACiiigAooooAKKKKACiiigAooooAKKKKAIl/wCPyT/rmv8ANqy/EnhTSvFVokOqxzB4gwiuLad4ZotwwwV0IOCOqnIOBkHArSMUcl4/mIr4jXG4Zxy1ZXiLXtF8L2IudUjJLBjHBbWzTSy7Rk7UUEkAdT0HcigC1ZaBp2nWdva2McsEVu7SKEuJAXZgQzSHdmQncSS+4lvm6gGobxNX0u1tLTwvpenXNvDH5ZW91GS3MaqAFA2wybuO5I6d81Y0u60vWtNiv9M8qe2lztbytpBBIKlSAVYEEFSAQQQQCKX7Rpm+7UiEGyANwTHgR5XdycY6c/iKHpuC1M0adf8AiK0ls/GWi6bDArLJAbLUpZ3WQHhwxhiaNl4IZTkH0qWHwdosNleWrw3N0l7A1vO95fT3MhiYYZBJI7Oqn0UgZ561NoWq6L4m0eHVNEeK6s5iQknklDkEggqwBBBHQgVPJc6ZDq1vpsgjF3cRSTRR+V95EKhjnGBguvU96LdLf1/wwJ9UUNT8E6BrEm+/s5G3Qi3lWO6liWeMZwkqowEoGTgOGxk46mi88FaHffZS8FzbvaW4tYpbO+ntpPJGMRs8TqzqMZAYnBye5rZ+y2//ADwj/wC+BR9lt/8AnhH/AN8CgDEufA+hXMls6QXdkbW3FrF/Z2oXFmFiByExC6ggH1qSbwdok2lQ6e9tMIoJfPjlS7lS4WU5Bk88MJNxBILbskEgkg1r/Zbf/nhH/wB8Cj7Lb/8APCP/AL4FAGLZeCPD+nxyJa2DKJbmK7kLXEjNJPGQVkYliWbIBLHlv4s1swWcFtJcSQoVa5k82UlidzbQueenCgYHHFL9lt/+eEf/AHwKqzXOmW+qW2nSiNbu6jklhj8rO5Y9u85xgY3r1Pejb+v67fgFrsgtfC+i2Xh640O1sI49MufN823ySr+aSX5JzyWPfjtjAp8fhzSobTSraK0VIdIINiiuwEOIzGO/PysRznrnrWbD4v8ADFxeRQRyMFnkEUN09hMlrM54UJcFBExJ4GGOTwMmug+y2/8Azwj/AO+BR0Dr/XXf7zJTwfocdvpsMdkUTS42htNs0gaONl2shYNllI6hiRkA9QDWpZWcGnafb2VnH5dvbRLFEmSdqqMAZPJ4HenfZbf/AJ4R/wDfAo+y2/8Azwj/AO+BQD1d2S0VR1KfTdJ02e/1BY4ba3QvLJ5W7aPXABJ/CrP2a3P/ACwj/wC+BQBLRUX2W3/54R/98Cj7Lb/88I/++BQBLRUX2W3/AOeEf/fAo+y2/wDzwj/74FAEtFRfZbf/AJ4R/wDfAo+y2/8Azwj/AO+BQBLUS/8AH5J/1zX+bUfZbf8A54R/98Co1t4PtTjyY8BFONo9WoAW60+0vSpu7aOYr03qDio4dI063lWWCygjkXoyoARVe7njguvs8FlBIwQOxdggAJIH8Jz0NRLeBZIxPYWyo7qm5JNxBY4HBUdyKANmiovstv8A88I/++BR9lt/+eEf/fAoAlqK3/1R/wCuj/8AoRo+y2//ADwj/wC+BRbALCQowA7gAdvmNAEtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAES/8fkn/AFzX+bVw3xMtre5WH7Lq/wDZutx2N01srwebHdQYTzo2Bx/sEYYMMZ5AYV25ljjvH8x1TMa43HGeWqjrWl6F4j042GvWtlqFqTu8q4VXAbBG4Z6HBPI55o6/1/X9WAzPCFy+r6dLLfw28F3p+o3EUj6bI8dvcyKSrSbc/MDuOVbdhgeSVBrmvEFxcT+BxaW1pdXl54u1B8w2hVZGtTyxBdlVf9GjC5JA3MPWu8jsdFit7SCK1sEhsv8Aj1jWNAsHylfkHRflYjjHBI71IkGlRy28qRWayWsZigcKoMSHGVU/wg7V4HHA9KO3y/4P32DX+um9vuueYy+IdQ8N3Hi21g0m80Jr2yOq2CXZhco6hYrhlEcki4UeW+CepbjFT33h+BPH1lpeieIdSNxdeHrx43l1GS4khYvAEmV3ZmUMR0B2HacAfNn0mQafNcw3EwtpJ4N3lSttLR7hhtp6jI4OOtUtN0Pw1o0vm6PpelWEnzfPa28cR+bG7lQOu1c+u0elC8+1vwa/VfcNaX/rt/Xz+/iYPGDa3p2oa7cXV9a2el6cllcw2MgWRb6Qr5qAN8m9PkUFuFLtyOaxb2+1bRrjxLZxzXemN/wjFxeJayeIJ9QngdWxHIxkz5L4J4jdlOOpwCfWFtNHS1ubZLexW3u2drmIIgSYv98uOjFu+eveqdt4c8KWVuYLPRtHt4WR4zHFaxKpR8b1wBjDbVyO+BnpR1v/AFrf9XoC0a9V+DX5pHJ3zah4X1hG0m91C+muvD97dyQ3d3JOstxF5RRlVyRGSXYbUCrz04GEvmXw14Bn8RaP4i1G81KfR5LiMXOoG4S5bYHM6xvuVdud2I1CgHlSMAd8V043MVwRameFGjjlwu5FOMqD1AO1cj2HpVTT9I8O6Td3F1pWnaZZXF0czzW0EcbzHOfmZQC3JJ5oet/66v8AzX3AtEvL8dv8vxPPZ5fE3hyxvNStLuziWTSJ7hIW8QXGqvcMqqVnjjliXaF3EkIdpDAbfu4uLYaZo/xF0AQavf6hDJol7PKtzeyXjMv7j96u4sw3AHhcKccCu00rRPDehSTSaHpmlaa8+BK1nbxwmTHTcVAz1PX1o0/RPDWk3BuNK0zSrKYliZLa3jjYlsbjlQDztGfXA9KT1/r1/wA/w+4jo/6/r89/W/Bxwaj4a8I2l9pOuaf4p8IeZaC006/sl86ODcqosUykB3DbSoeMnIAyCM1DfXHiXVr7xHqNrdWti+k30kENzeeIp7SOyVApUyWyQtE6sDvzISWD9VAAHfw+HvC1trJ1e30fR4tTZ2c3sdrEsxZs7jvA3ZOTk55yafeaJ4a1DVYdTv8ATNKutQg2+Tdz28byx7TldrkZGDyMHg1X2rv+tvv2/Enpb+uv9fI838f6tcmx8SarpcuoRyaMnly38uvvZW1vMI0ZY4YItwmJLgkTKNxYAMRgDSurrUkfxzrcN7fTXejwq+n2wuZBDG5sY2YmIHY+WOcMCARkAEnPa3eg+GNQ1E6hf6VpN1emMxG5mtonkKFSpXcRnBBIx6EirttHptm0jWiWkBlKmQxBV37VCjOOuFAA9gBS6f1/X9fMtNJ/15Hn3ivSLLTfh7qz2XiLULie+0h2WO81FrlZ8bT56pITtxuH+r2p84yPu43tMtX0T4gR6bbX1/cWt3pclzKl5eSXH71JUUMu8nZkOcquF6ccVqWnh7wtYR3aWOkaRbJejF0sNtEgn6n58D5up6561on7Abtbo/ZjcKhjWb5d4QkEqD1xkA49hTvqn6/r/Xy9DPldren5r/ItUVF9qt/+e8f/AH2KPtVv/wA94/8AvsUiiWiovtVv/wA94/8AvsUfarf/AJ7x/wDfYoAloqL7Vb/894/++xR9qt/+e8f/AH2KAJaiX/j8k/65r/NqPtVv/wA94/8AvsVGtzB9qc+dHgoozuHq1AGLrM0dvrZaeRY1e3QKXOASGfP8xVNbmCe4to4Jo5XNxEQqMCcB1J6ewrqWntX+9LC31YUgltFOVkhB9QRQBPRUX2q3/wCe8f8A32KPtVv/AM94/wDvsUAS1Fb/AOqP/XR//QjR9qt/+e8f/fYotiGhJU5BdyCO/wAxoAlooooAKKKKACiiigAooooAKKKKACiiigAooooAiX/j8k/65r/NqxfFXiyHwzarssbjUr2SKSWKztioZkjALuWchVUZXJznkAAnitpf+PyT/rmv82rgfizJoyabB/a93eaTcCC4NnqsUixxK+1d1u7NlT5gHCMpDbDjBAo6oDtNF1iDXNMS8t4poPnaOSC4TbJDIrFWRgCRkEEcEg9QSCDUtrqEV3eXltCr5s3WORyBtLFQ2B9Ay5+tcz4T1SPUdItrjxBeWl/LFfTR6VqM0SRteIqtiWMdNxTf8yABlBYDaawtWitH0DQL3xHsOhajqsl9qhnIEGySORoBP/D5YPkr83GVTNPz9Px/p/PQP+D+Fz02ivLb7/hDB/Y62/2L/hBhc3P2rOf7N+0EIY+T+68rJkxj92JMD79UrHTdO1fU9Gs0gS48Mvrt3/Z0DDdBLbizOQqkYMXm+YVA+XAGOMUWbv8A12/z+4Tdlf8Arr/kev1V/tCL+1xpwV2m8gzswA2ou7aAec5Jzjj+E141q1rbS69rcWta3oGiatHelNNF1pUk+oxQ8CBrNhOrEeixIRu3ghjuz1HihDc+Gdf1lsyrHfWcZlRckQWlwjSMQOgVvPJHbBpLZS/r+lcq2tvO39foehXMrwW7yRW8ly6jiKIqGb6biB+ZFZ2reJdP0WSRb4yARQCZ2RN2NzhEXA5LOxwoA5wa828U6zp2ual4pudHvIb62Gg2ai4t3DxuftUudrjhsdDg8HIrqNT/ALNutP8AEOp63YXGoafPcxWLCzBaSOKF9pf5SGASVpWJX5l25HSpvf8ArzaDaTXp+Kv/AJmxYeKvtOqxadqWialo91cIz2y3vkstxt5YK0MjqCAQcMVJHIzg42raV57WOWW3ktndQzQylS0Z9DtJXI9iR715t4evTZ61p+n+FfHEvjHSXSdb+O5uobySzG1nSUzxgNyw2BXLZDcfdNY+hDQf7M8NHx8LP+yB4cthpp1DHkfaMnzdu7jztvlbf4sbtv8AFV/1+f8AkFtG/wCuh6vourwa7pMWo2iSJDKXCrKAGG1ip6E91NVNd8R/2Le2NnDpN9ql1feYYobMwggIAWJMsiDuO9ePWKwS6N4bi1q80ey0E2M5t5PE9m9zbvcfaHyGVpY1WbZgguSxG/GPmzuSS2mm2/g1rzxv9gtMX3k6uscdqhQkbI0F0JBsxgKSW3KAQSDmo15b/wBb2Ji72/rpc9J0PxBFrf2uM2d3p93ZSCK5tLtVEkZKhlOUZkYFSCCrEduCCBrV5GNQis9H8V3JuV8YaJcz2bDUprhIY5WYiOVJZoE2mGNVVmITaFZ1YH5q51BZJB4wg0m50cWs+kWkgPh22a2tS4ncMY2DssjLlVMi47AgEYqn/X3XB2UXL+t7HuOo6rBpj2qTrI73UpjjWMAnIRnJPPACoefp61U0PxRp2v8AhSDxDaNJFYzQeefPXa8a4ydw55A9Mj0JFZUelWNnrcllpNlb2VhpWnuyw28aonmzk5OF/iCxnJxz5n1rkPCysvh3wroEaOYfEOl2NzIVTKqsESefuPTDIIUx/tmnFXT+X6/hpcb0/r0/zPSvD+uW/iPRYdTs4p4YpWdQlwoV1KOUOQCccqe9aVeQWf8AZn2TQf8AhL/s3/CM79U877fj7J9p+1fuvN3fJ93zdu7jPTnFP07TNO1i88OWU1sLrw++pagbC3uFLxS2ojyg2tw0W4EoMbdoTHAFL0/rW339V5E3slc9corw+/s47nXNYj1jXtB0XXV1B0sPtGlST6nFEG/cG1YTqzIVxhY025LhgSXz7eM7Rk5OOtC1imU9JNC0UUUAFRL/AMfkn/XNf5tUtRL/AMfkn/XNf5tQBRvtQmivvs8DQptjV2aRC2clhgAEf3ahGp3UcsXmyW8iPIiFUiZT8zBc53H1qDWd0WrmVo5WR4EUMkbPyGckcA/3hVNGNxc28cUM+fPjYloWUABwSckegoA6yiiigAqK3/1R/wCuj/8AoRqWorf/AFR/66P/AOhGgCWiiigAooooAKKKKACiiigAooooAKKKKACiiigCAyCO8fcGOY1+6pPdvSkleCeF4p4mljcbWR4WIYehBHNPX/j8k/65r/Nq53xl4quvD8UdvpFlDeajPbz3Ea3MxiiSOILvZmCsScuoCgc56gDNAHRfaE/uyf8Afpv8KPtCf3ZP+/Tf4Vn6XrRurG2bVrf+yr6eV4BaTyAl5E3ZEZOPMUhSwIAyvJA5AQ+IrKD+1JtRnt7Gx02VYZLu5nWNNxVWOS2AoG9R15JoA0ftCf3ZP+/Tf4UfaE/uyf8Afpv8KonxLoQ0Ma0da04aUTgX5u08g/Nt/wBZnb97jr14pZfEeiQaZFqU+s6fHYzKXiunukEUi4zlXJwRj0ND03Au/aE/uyf9+m/wo+0J/dk/79N/hVKbxJodvqVtp8+s6fFe3aq1vbPdIJJgehRScsDg4xSXGu21rrTWNw8UMcduk0s8soQIZJPLiXnqWIYDnqAOc0AXvtCf3ZP+/Tf4UfaE/uyf9+m/wqrqOrW9lFcKLmyW5gjWVorm6EIVGbaGY4JVSQQDjkjFZ2v+LYNAluFlt2mW3t45X2OA26WURRJg8fM275iQBtoHZm39oT+7J/36b/Cj7Qn92T/v03+FYtjrGvLqkdnr2hQWqTxs0V1YXr3USFeSspaKMpkHg4YHBGQcAzt4n0my0mxvda1bSrFb1V8pzfoYZWIziORtu8ehAGfSgRp/aE/uyf8Afpv8KPtCf3ZP+/Tf4Vh2PjTSn8L22t63eWejW9xI8Sm7u0RNyuy4DNtBJCE4o1rxFfW19pNn4fsbLUpNTSSRJLi+aCIIiq2Qyxybs7hjj8aV1a4LU3PtCf3ZP+/Tf4UfaE/uyf8Afpv8KxdH8SvcJqsev20Gk3GkuBdsLoSwBCgcOJWVDt2nncq4IPbBNuw8UaBqtpNdaXrmm3tvbkLNNb3cciRk9AxUkDPvTAv/AGhP7sn/AH6b/Cj7Qn92T/v03+FZZ8UadMunyaVc22o297O8X2i3uFaONURmdiwyDjZtx6kVlxeK9dvLE6vpvhlJ9FK+bEzX+y8nixnekHl7ORyoaVSRjIU8UXHY6j7Qn92T/v03+FH2hP7sn/fpv8KyZPGnhmDT7e9u9f060t7mGOeJ7q6SHcjglDhyCM7Wx/un0NXNT13SNFs0vNY1Sy0+2kYKk91cJEjEjIAZiATgE0PTcRa+0J/dk/79N/hR9oT+7J/36b/Cqd74h0XTbaO51HV7C0gki85JZ7lEVkyo3gk4K5dRnp8w9RVu0u7a/s4ruxuIrm2mUPFNC4dHU9CGHBHuKAF+0J/dk/79N/hR9oT+7J/36b/CpaKAIvtCf3ZP+/Tf4VGs6fanOJPuL/yzb1b2qzUS/wDH5J/1zX+bUAH2hP7sn/fpv8KPtCf3ZP8Av03+FZuoXky6kbeO4eBViV/kVSWJLDuD/dqAX1xFLCftksoaVEKOiYIZgvZQe9AGz9oT+7J/36b/AAo+0J/dk/79N/hUtFAEX2hP7sn/AH6b/Ci2OYSR3d+ox/EalqK3/wBUf+uj/wDoRoAlooooAKKKKACiiigAooooAKKKKACiiigAooooAiX/AI/JP+ua/wA2rh/islnLoax6toVzfWgimkj1CzWR5bKcKNnEQ8xVYbgXBwMANw1dsXK3j7Y2f92v3SOOW9TTvNf/AJ95PzX/ABoA5rwbPeWehLHqh1SWOa8mXT2vYZHuBbgFk847dynAODJhvug/McVkXen3FrpnhjVr2wubmK31KTUr+COB5ZYWmSUq3lAF3KPIq4AJA5x8vHeea/8Az7yfmv8AjR5r/wDPvJ+a/wCNG34f18w8umv9ficLezwSa5pHiS38P6iml21xcmcDS2EzTSIirc+QB5x6PHkpu+bONnzVR0vR7m58TaXqZ0q4t7CXX7q+t4pbdozAjWhTzHU8oXkDthgDlxkA16R5r/8APvJ+a/40ea//AD7yfmv+NNabf1t/kJ6q39df8zyfUdGuftviTTNaufFK/wBqX7yxW+j6XDLDdxuFEZ89oGEbqFCkySpt2AjauDW/4h0u+vPC+uXkNpcz3DX9vIkPlnzngtZoyQoOCxOyRlA+9uGOvPc+a/8Az7yfmv8AjR5r/wDPvJ+a/wCNJaRS7fpa35FX97m87nl/iI3niK+8SXmm6Tqn2ebRbSCBp7CWFpnW5lLKEdQ2QCOCBxz0INdRdxT/ANna7fy6D/bK3d0IH0+VQrSWsZEbYVxh/wDlo4U4DZ4POT1Hmv8A8+8n5r/jR5r/APPvJ+a/40rJL+u9/wDgegnrLmfl+CsebeHdFstO1vT4/h/Dr1hpEKTLqFjqMV5FbBGVmUxJcgYk8zH+r4wW3dRmPwvBceG4NEvdd0jUJoJPDlvYxrDYSTyW0qkmSN41Usm8FOSAv7vDEYXPpvmv/wA+8n5r/jR5r/8APvJ+a/41V/6+/wDzHfR+f/A/yPHNF0jVNIt/D15dpr2hWcenT2qLpemJdTWshuGfy3jMMrKrIFwyrj5OTytaE2jWdja+FftNv4qOmxtfSM8cNwl3GZCGXctkoaNTkkJhcDAIBBA9T81/+feT81/xo81/+feT81/xqbaW/re5KVv68rHmMVpf6bpfiG78Oafe3ulXNzZzQQ65a3FzMsocLcTeTKRPIFRI2VSdxZDt4xWTeabqmrP4qkkh1zVY77RraCO4v9KFsbhlncuiRrGjBRv4Eg3EZOWXBr2TzX/595PzX/GjzX/595PzX/Gm9f68rDd+Vpdf87mHeaXJquv3ccitDaw6YbWF9pwWmJ3kZGDtWNOh/iIrM03xJdaP4fttIvNB1WTWrW3W3W3t7GR4J3VdoZbgDyVRsZ+dlIB5APFdf5r/APPvJ+a/40ea/wDz7yfmv+NK2/n/AMH/ADYdb/10/wAkeV6TFB4M8c29vq+n3N/NB4at4XuLCxkuvLdp5mdAqKXCsQcHGPlGSMjMUGiaxodxod1qE2taVaR6bLbx/wBj2Ed7LZs0xkELr5MxC+XsXKDaDFgn7tenrZW6axJqi2UgvJYEt3l3jmNWZlXG7HBdjnGeatea/wDz7yfmv+NNbLyv+N/8/wCurlq/u/BL/I898OeHhaeJPC80Nnqj2lvZajIk2pwIskTyzREZCKFj3AvtTCkLkEAggdF4Ds57Hw/cw3FvJbH+1L50jkQp8jXMjKQD2IIIPcHNdB5r/wDPvJ+a/wCNHmv/AM+8n5r/AI1V9Lf1vcL3Vv66/wCZLRUXmv8A8+8n5r/jR5r/APPvJ+a/41IiWol/4/JP+ua/zajzX/595PzX/Go1lf7U58iT7i8ZX1b3oAzNWtrr+1PPgtpJ0eFU/dkZUhmPcj+9VWO1vZ7iBTYzRKs0bs8hXACsGPQn0rofNf8A595PzX/GjzX/AOfeT81/xoAloqLzX/595PzX/GjzX/595PzX/GgCWorf/VH/AK6P/wChGjzX/wCfeT81/wAaLY5hJIx878Ht8xoAlooooAKKKKACiiigAooooAKKKKACiiigAooooAiX/j8k/wCua/zauR+IPii/0KO1stKuLSxub2GeSO8vE8xA0agiNU3LukbdkZPRWODjFdcv/H5J/wBc1/m1cl8SLbUrzQZLWDw/D4g06aCVbi1CI06S4BikRZGCsoIbI+9kqVzgijqg6G7pd9qC2NtH4gthFqEkrwk2kbvC+3cRJkZ8tWVc4c8E7ck4zUl8WWlgdQuNVkENnBeLZWwiheWW4l2qSERAWc7iRtUE/I3ocVfBunXnh7QltX0yaGGe8mkt7NJkcadCQWSNiXxjjG1NwUuAPlG6qU+hanZaZ4c1C3sDeXmm3cl7eWUboskjzpIJPLLME3K8pPLAEBuemX5vy/r8/IP+D+v/AADY/wCE30H+y0vvtUxR5zbLbizmNyZR1T7Ps83cB8xG3IX5unNI/jjw+mn2t59tkeO7leCGOO1leZpUBLR+UFLhwFOVK7uDxWZe/wBvXWqaV4jHh2cGxaeE6X9rhNy0UgQeZ97yg4ZPu+YRsJO7d8lU9O8OavJ4jsNavrAW/naxcX8tu0qM1pG1p5CAkHBY7QTtLAFjyRzRbf8ArsJ6L+vM6G58a6FaX32W4upldSiyyCzmaK3ZsFVllCbImwyna5UjcOORTr/xJBputTQXkiQ2VtBC00pjZj5k8vlxKMe6nPHdTwM1xV74Ou11HW7S90LWdbh1O7kmhmtvEMlpZ+XLjMc0YmUrt5BKRPlcHk5FbmteHdRvvC2si2tgb+e+iuYLZ5FG9LeSMogbJA3rDkE9C/OOcJbJ/wBf0r/gVbW3S/8AT+f4G5rHiKx05byB7+O1urW3S5kaW3eVY43corELjdkqwwDkdelZ3ijxdLoH9oSQwRzRafZxTTFyVCtLLsVmYdEUK7PwTgA1z+taP4i8RXev3g0KaxW80m2tbaG4uITIzpcSOwbY7KOGBHzEYI75A6Y22uWtnqt/pdvbtqVzfCRbe7fCyQIVTaGUnaWRCyk5wWG4dQJ1f9ebX5ah9ppbafld/wCRFoOqa5dSQXMmoaLr+j3UchGo6TEYlgZfUGaQSAnIypBUryDnIlTxrpFtpOl3F3ftdyahbC4iax0+dzJHgZl8pQ7xp8w5bgZAJrn9M8KxN4qstV0Pwe/hD7Mkq3hxbRi+jdCBHst5HDYfa+58EbcDOThvhzRte8JQaTd/2LNqUjaHbadc21vcQrJbSxFmyS7qrIfMIJViQVGA2eL/AK/P/gBZWf8AXY19G8fWNx4X07UtTk33F/5rRQabay3LSIkhXescYd9uNuW6ZYcjIFP1TxDf399oUHhK/wBOWHVUnlN1dWr3C7YwpwFWSMg5JByeMYxXIWPgzWtPg0e81PSdTu9llLa3FhousG0kt5DO8iuGE0SyIQ2CC2RhcLycXr3wiq2vh0z+Bn1Oyt3u5bnS5LqG9eN5SGV3e5kAdyclsM2CSAWHJjXlu/61JjfT+un9I6XS/E1xaQa0PFU1pjSJ0ia9s4XSOfeisqiIl2D5cLsDMSSuOWxU0Xjvw9JbX80t3NaLp8aS3S31lPbPEjkhXKSorFSQRuAxweeK5e28N63pena5eeDtKfw0t9JatFpMX2YSJ5bYnkRQXgSSSPCqCduUBbBJxmv4P126PiF49H1KOLUNMt7eAapqq3U8kkczM+/MjLHkNkKh2YH8JO2qf9fd/mD0i3/W53k/ibz005tIikIu3lL/AGy2lgZYo0YltjhW+9sAJGMNnniuZh8TeL4fh3a+Mr2/0Ka3exivpNPj0yaJ3DKG8pJTcN83OAdhyccc11k2n3Nx4gvLyRP3UdgLa15HLOS0h6/7MQ5A6H1rhLf4Xx6X4F8O6jovh/TbXxholvBMQIIQbqVUAlikccEtyA+cq2GB65cbWbfl+t/0G79PP9P+CjudT8Y6No84h1CedZViE0yw2ks/2ZD0aYxqwiXg/M5UfK3PBw3VfGug6NOIr28kZvIFy/2W1luBFCekkhiVhGhwcM2AcHng45PUvDmof8JNqmpXGia9qMOrJDLFFp2umz+yssSo0UyrcRqRlQd67zyw7DOjpunan4N1CZdL8NS31ndWlrFDHZXkZFo0Mfl+W7TMjMmNpDAMx+bKg4yvX+t/6/pCfl/Wxuaj400HS7jyru8c7UWSWWC2lmigRuQ0siKUiUjnLlRjnpzTdU8b6Do93PbXlzO09tEk80drZT3BjjYMQ7eWjYX5W+boMcnkVyF/4U1CPXdbnvdE1jVl1eRJ4/7M8QSWlvEfJSNopVE0eVBTO9Y3JU8jIAPQWHh25stW11orJIbe40q1tLXbKGyY0lBTJ+bA3DlgM5+tJ6Rb6/1p/wAHqNfEl0Ldr4ytb3x1J4et4ZnVbCK8S7WCQxSby2AH27MYUENuwSSBypFdHXD+F9E1XRtc0qS6sJGifw/a2E8iSRlbaWEuxDfNkg78AqGGRzgc13FU0lp6/m/0EnfXyX5K/wCNwqJf+PyT/rmv82qWol/4/JP+ua/zakMydTnY6qYWkmVEgRwI5WTkswOcEZ+6KrCcwzQNFLcZM8aEPO7AhnAPBJHQ1c1TT7uXUPtFokUgaJY2V3K4wWOeh/vVWj0vUZLiHz4oI40lSRmWUsflYNjG0elAHQ0UUUAFRW/+qP8A10f/ANCNS1Fb/wCqP/XR/wD0I0AS0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAQEyC8fy1Vv3a53Nju3saduuP+eUf/fw/wDxNC/8fkn/AFzX+bVw/wAUtevdF06BU1KbRrCeKbztTgjBaOUBfKjLMrLGHJb5iOqgAgkUrgdxuuP+eUf/AH8P/wATRuuP+eUf/fw//E1k+H7y8fRbFri6i1wTO4XUrJo/LeL5ikr4IGSAoPlgjccgBelCTxb9he7nmiuL4T6l/Z+mWVmiGSd0T95gsVAwyy5LMABH19a62Dz/AK/rQ6Xdcf8APKP/AL+H/wCJo3XH/PKP/v4f/iawJPGSRWduX0PV11G4meGLSjDGJ2KcswYv5WwLg7/M28gZ3fLUL/ECxEFmI9M1KW+u7qSyXT1jjE0c8aF2jbc4QfKMhtxUjBBwQaQHS7rj/nlH/wB/D/8AE0brj/nlH/38P/xNc9eeOLazkuHfSdTksbJgl9fokfk2jYBYNlw7bQRuMauBzzwcLqficaZq9zLMZX06zito3EKq2+a4mCLycfdG0nnpJnnij+v69egHQbrj/nlH/wB/D/8AE0brj/nlH/38P/xNYPiDxVZ6Y2o2crXsMtnZxXkk1skbEJJIyALvyC2UOcjGD61V8S65rFpLqn9hQvcHT7SEmNIPNJeWT5mCj5maONS2wfe3gc8Urodtben4nUbrj/nlH/38P/xNG64/55R/9/D/APE1w3g7xJb63epNoHjpPEti0MjXVtepDFd25U4V0jjijIGcgiRecqQR0bQsvG9vJpekjTrHV9buLywS9KRxwCaOE4AklyyICTkBV5JDbQQDirf19/8AkLudTuuP+eUf/fw//E0brj/nlH/38P8A8TXGeHPHE934X0uVrHUNb1O9SafybSKON1iWVlDt5jRov8IwSGPPBwxFbxF4xtbibw/LH4pfwzpt6blbi4k+zxOskeB5TGdHVWDbgQB1HWpvpcSdzvN1x/zyj/7+H/4mjdcf88o/+/h/+JrjvC3ih5tO1yaLU5PFdlp90sNpeWSRSTXJZEYxnygsZIZwN2FUA/MflZqtSfEG0s4dUbWdI1TS5tLt47qaC4SKR3idiodDFI6nlWGM546U3p/XzGdPuuP+eUf/AH8P/wATRuuP+eUf/fw//E1gXGp6jqkul2dtHeaHNdmaSdZRA88cKIRuGDIgJd4yM546jrWFa/2pZ+IteGreONXGm6LHBcMXt7IBkKs7hyttnHy/w4OPele24dbI7zdcf88o/wDv4f8A4mjdcf8APKP/AL+H/wCJrAsvGtrNdeTqWmajo4e2e6glv0jCzxJgsw2OxUgEEq4VsHpwcQR+N47tPLOmanphu7aWbTri8ijCXQVd2VCuzKdvzbZFRsZ44IA3ZN9v6/RjWrSOm3XH/PKP/v4f/iaN1x/zyj/7+H/4muP07x066LpiNpmpa3qB0q3v777BHFmJZF4YqzoWLFXwsYY/L05Ge0Vg6BhnDDIyCD+R6VcouLaZEZcyTI91x/zyj/7+H/4mjdcf88o/+/h/+JqWipKIt1x/zyj/AO/h/wDiajVp/tT/ALuPOxf+Wh9W9qs1Ev8Ax+Sf9c1/m1ABuuP+eUf/AH8P/wATRuuP+eUf/fw//E1ynjLXtN0C4N1rY3WyxxKuYy+1mZwTj6Lk/T8K5zwnrt94g1ibU7eyt7TRftEUNmRFtlkPmAM+R2IJBH0HY5APTt1x/wA8o/8Av4f/AImjdcf88o/+/h/+JqWigCLdcf8APKP/AL+H/wCJots+Sdwwd75wf9o1LUVv/qj/ANdH/wDQjQBLRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBEv/AB+Sf9c1/m1c742sPEd5p7Dw09rcI9vNBcafdP5Ql3AbXWUKxDKQRtI2sGOSCAa6AiQ3j+Wyr+7XO5c929xTttx/z0j/AO/Z/wDiqAMDwzot/oGnvH5Fj5t9ezXd1FBKyRW28E7Y/k+f5goJITOWbA+7Va48M6lBpOgzaa9rJqukzG4kjnkZIbp5EdZgXCkrkyFg208gDHPHUbbj/npH/wB+z/8AFUbbj/npH/37P/xVGysvL8A/r7zlrrSvE91d6frrR6QNVsWmjSwE8ohaCUICpn2bt+UD7vKA/h2/x1Dp3hHVI9astX1Ca0+1Nqc1/eRwu5RN9v5CJGSMtgKmSQueTgdK6/bcf89I/wDv2f8A4qjbcf8APSP/AL9n/wCKpp22/r+rA9VZnnd18OGTWtTlh8N+E9Xj1G7a6XUNYh33FsXxuUp5TecqnJUeZHwdvGMnd1Xwreah4Z1W1jlt4tQu71buFiSYsxSI0KtwCAViQHAOMtjPfp9tx/z0j/79n/4qjbcf89I/+/Z/+KpLRWX9f1Yd9b/M4TUvCXiTXrjWrvUf7LtJdQ023s4YILiSVYmjmdyS5jUkEMP4Rg8Y4yegk0fV107UX02/hstUur37Sspj86NkVlCxsCAcNGgU45UsSCcc7e24/wCekf8A37P/AMVRtuP+ekf/AH7P/wAVSStt/Wt/zFu7vy/BWOVOhaxrfiLTtW16x0zTZdLEvkvY3j3Lz+ZGyFGZoY9qDIbA3ZIXpjmlo3hPxB4YttMm0n+zby7TSYNNvYbm4kijBiLFZY3EbE8u4KlRnIOVwc9vtuP+ekf/AH7P/wAVRtuP+ekf/fs//FVV7f16/wCbHfSx5nH8MbyC30m5v9M8PeJLy2tZLW5ttTBWD5pmlWWJjFIUb5iCu3kEfN8vOyPDWtaYvh+40TS/D8cunLciaxgkeytk83HEZWJ84xySq7jzhc4HZ7bj/npH/wB+z/8AFUbbj/npH/37P/xVT0sTb+vwOIvPCGu6hBrWorNbaVq2qG0D29jeyrGyQOTtNwqJIGkUlC4XKrtABxzkw/DTUlGuNbWGg6QmqWEFsltYu7BHjlLF5JDGplZgxJcqDwB833q9N23H/PSP/v2f/iqNtx/z0j/79n/4qn/X4WG9U0ynFp0n/CSXGpTMrJ9mS3t1ByUG5mc9ONx2dz9wVjah4QfVpfFcV3Okdrr1nHbI0eS8eI2QkjgdWBHPPtXS7bj/AJ6R/wDfs/8AxVG24/56R/8Afs//ABVIOtzjrnwxrviaRYfFX9n21pBZT2yfYJ5JWuHmj8syMGRBGApbCAvy33uOQeHPEmpyadFrp0yKDSYpfIktJpGa7laFoVd0ZAIhtdiVBk5I54yex23H/PSP/v2f/iqNtx/z0j/79n/4qhq9/P8A4P8AmwWlrdP+B/kef6l4F1G40nSLNtI0HUJrDT4LeO+ku57O6s5oxy0U8aM5UnB2gxng5J3cd3pdpNYaRZ2lzdyXs1vAkUlzL96ZlUAufckZ/Gpdtx/z0j/79n/4qjbcf89I/wDv2f8A4qqcm7+epKilby0JaKi23H/PSP8A79n/AOKo23H/AD0j/wC/Z/8AiqRRLUS/8fkn/XNf5tRtuP8AnpH/AN+z/wDFVGqz/an/AHkedi8+WfVvegDO1zw+NZMiu0LRTQiGWKeMurAEkdCP7xqCy8Ny2i20Imt0tbdkKRQwlcBSCAMseOBWvPci2x9pvLaHd08wbc/m1Mivop5BHDqFnI56KhBJ/DdQBdoqLbcf89I/+/Z/+Ko23H/PSP8A79n/AOKoAlqK3/1R/wCuj/8AoRo23H/PSP8A79n/AOKots+Sd3J3vkgf7RoAlooooAKKKKACiiigAooooAKKKKACiiigAooooAiX/j8k/wCua/zauV+JOmpL4L1fVI7vUrW8sdPnkgez1K4tgrBCQSsbqrHI/iBrql/4/JP+ua/zaqXiLSf7f8M6lpHnfZ/t1rJb+bs3bN6lc4yM4z0yKTLg0pK+xztzK/gnSUudPVJLaVFe6vfEXiSZIIjwFUPL5pDMW6BQOOucCsq38Yat4g1jwxqHh+ySX7dp160lnJqOy2DRywoXMiq24D5grBCTuHCgkjf1jwhc3niDTtZ0y+sYLyytTbK19p32rywT9+LEiGN8ZBOWBGARxzQsfAOq6QulyaX4kj+1abHdxiW7sPNW4WeZZP3irInI29VK5ODwPlNp63fn+qX6GcbpW8iOXxa9zquhXVyJdOFvNfRanaLNvVXhhJIyMB14DKSBwQcA8CPRfixp+q6rZ2rtpBXUFc2qWOsR3dwhVC+2eJVHlnap5VnAYYz0J0l+H8EsVouo3pu233cl+TDt+1vcRlHwAfkUA4A+Y4ABJPJt6JoOv6a1pbX3iKG802zjMccKacI5plA2qJpC7BsDk7EjywB4GVMJO7v5ffbX8dvxBfq/u0t/wTL0HQ5fFHhuz8QahrWrw6lqMC3cTWmoyRw2gcbkRYVPlOFBA+dX3YO7IOKxIte17Xtf8LJdJH9lW1u57w22ozWpmmt5UjZtiKdyg5IjZ9rbzuxtGeoi8L63ptt/Zmg+IorPSMkRxy6f5txbIT9yGXzFUBRwu+N9vfcOKt2nhG10/VNHuLGQx22lWE1klu4LlxIYzuLk5z+75yDndnPrWl9NF/wHb8beo15mJoehXXifwnZa/d69qlvrGoW63cM1teusFrvG5EFurCKRVBA+dWLc5J7aV74k1mPULnT9E0eHV59Nt0kvpZLr7KrOykhIV2vuYgE4YqBuX5jk4hXwjrVpp8mjaT4jjtNEfciRmw33VvG3WOKbzAqgAkKWjYqMcnAp8/g69sp5j4T1iLSYbm1jtZ4p7P7SFEa7EeI712uFOMtvB2r8vBypf3dPL7/68+olur/1/X4FdPHV9qt4IfC2iRXqtpdvqay3t6bZdkpcBDiNyH+TpjHXJGBmrb+NNQvvEuk3sMMMXh660CTUpRLORLHyhJ2iMglc4xvwcsewB29F8HW+g3zSWNw32caXbabFC65ZVhMmGLZ5J8z0HT34z7b4f/Z7XRrRtQjmtrLSJNIvY5LY/wClwuE5Uhx5bZT/AGhhiMdDTla75fO33S/+1K0f4fpf9f8AhilofxXsNX1iys2fSCNRDG1Sx1iO6uEIQuFniVR5Z2qeVZwGGM9CZ9J8earqNtoV5P4fgtbTXkK2bHUC8iy+U0gEi+VhUIRsMGY/dyoyQNTR9A8QaeLa0vfEkN1ptpEYooo9OEc0w27U86QuwbA5OxI8sAeBlSyz8G/ZNI8K2P2/f/wjzq2/ycfaMQPF03fL9/Pfpj3pu2tv63/4Ao7a7nOaf8Q9S0zwXodzr6aUl/qby7bi+1Q21rtXn5pfJwrnOFQKcgE54xXoOm3F1dabBNf2f2K5dMy2/miQI3cBxww9DxxjIB4HM2/hHW7Lw9HpNnrtg1vE8yCG70nzoZrd+kcq+aCzLkjcGVSCQUPWtfwp4dh8K+HotLt3RlSSSVvKiEUYaRy7BIwSEQFiFXJwMck8mVtqD6WNmiiigAooooAKKKKACiiigAqJf+PyT/rmv82qWol/4/JP+ua/zagDH1GVk1yTbj/j2j/9Ceq0s7s9uDj/AI+Ye3/TRa1r/SFvbkTrcSwSbAhKBTuAJI6g+pqCLQAk8ckt7PMI3DhGVQCQcjoB3oA16KKKACorf/VH/ro//oRqWorf/VH/AK6P/wChGgCWiiigAooooAKKKKACiiigAooooAKKKKACiiigClcO63h8tyn7tc4A55PrTPNn/wCe7f8AfK/4U66/4/D/ANc1/ma5zxd4O0LxlpaWviSx+2w27GaJfOePa+0jOUYE8HvSk7K41qzofNn/AOe7f98r/hR5s/8Az3b/AL5X/CvnjwLa2/hTwv4VuvBWiWknjDxMs9sLq+uZvISKNy7s6hvRV4UA/Xoetm+KXiDT9N1DSNR0zTm8XWupW2nRrBI/2OV7gExSc/MFAByM546jOBbjrZb/APBtp96/pC13/r+tGetebP8A892/75X/AAo82f8A57t/3yv+FeWSfEjxJoE3iKDxXpmmmbRNJivANPkfZcSOzKMM3KrwBgrkEHkjFT6X4t8axeKNE0LxdY6LEdVs7m5aXT2kbARFKrhj8rAk5+8DkYPWovpp/W/+TE3bf+tv80emebP/AM92/wC+V/wo82f/AJ7t/wB8r/hXzzYfE+48DfC/wfp2nPptvc30M8r3eqJM8EaLKw27YQXLEnr0GOevHrnw+8YDxt4JttbMKxyMzxyrFkoXQkEpkA7TjIB5GcGqdtbdA2sn1Oq82f8A57t/3yv+FHmz/wDPdv8Avlf8K89j+IXiW3vltdZ+G+tQG6cJZSWc0V2jZOMzMpAgHK9c/wAXpXnOqWramt38JopjHJL4jlk2qfmSzKG5U9+NxA5z+FS79F/V1/mPRb/1o3+h9EebP/z3b/vlf8KPNn/57t/3yv8AhXg/hjV28XX+lNdKlw3hbwzcC7V3zi7YmEq2DkErEx65w2eMg1m3fjuy8E/8IV4gksFUN4VkjtrK3LbPMZ49q7nLMFGDkkk4Hc0OS5lFdf8A7b8+X8Qs7f15f5n0V5s//Pdv++V/wo82f/nu3/fK/wCFecTXd4fHngJddg0261K5tbx3urQSqkJ8tTiIGQggggEsDnGRtziuA8Q6Qvhj4kXetePNM1nyptSFxp/ivS7pj9kiLIqwSRnKog3FTkZPIUGqs+ZR7/52D7Lkj6G82f8A57t/3yv+FHmz/wDPdv8Avlf8K8mv/F6+FtY+IWp2mlW8t1bTWEcZV3BuZJIwqb8sVABYfdC8deeaox6z4j0f4qHUvHdppwuLDwvc3GdJkdo5UWVW2gPyrDGOpBz1pdr/ANaXHa+i3/4Nj2fzZ/8Anu3/AHyv+FHmz/8APdv++V/wrw3wf8bLrxXrLaPqf9kyLqVpO9umnJcCS0ZYy+yYyqFclQRlDjKn1FJ4E8X+K/DXg/wU+qadpf8AwjOoPDp0XlSu14rvuCSN0TaSM7RkgH1ppNu3p+N1+hLf6/hY9z82f/nu3/fK/wCFHmz/APPdv++V/wAK8m1v4j+JtE8cWVuyaBe6Dd6omnj7ELmWeIsSuHm2iFZARkx53AcY/irX8JeKfF3iXxfq8TW2jw6DpOqXFjLJiX7TLsA2bRkqCCRuJ654AxRFcyuv62/zRUk47/1v/kz0LzZ/+e7f98r/AIUebP8A892/75X/AArzT40eDNB1rwTquu6nYefqWm6fIbWfzpF8vHI+UMFPPqDWBPFP8MdCh/4VvaaDbm4sEvtQt72S8urmXC4DrDHuKoOQXJC5ODjGTN1Z36f8H/ILNtW/rb/M9q82f/nu3/fK/wCFHmz/APPdv++V/wAK8Xv9f1/xB4v8C6x4YsbEapqWhXMoS+lYQQbvLJLbRuYdgBzyPep7v4qeKY/Bs1xFpFgmq6dqk2nardNHcTWdqIl3GbbEGk2EYGT0PWm9Fr/WthLXb+tLnsPmz/8APdv++V/wpglm89j5zZ2jnC+p9q5zwF4hn8T+ErfUru70m7nckPLpMkjQnuBiQB0bBGVbkfjXQj/XN/uj+tNqzsJO6uS+bP8A892/75X/AAo82f8A57t/3yv+FNopDHebP/z3b/vlf8KPNn/57t/3yv8AhTaKAHebP/z3b/vlf8Ks2ZJtQScnc2T6/MaqVbsv+PUf7zf+hGgCeiiigAooooAKKKKACiiigAooooAKKKKACiiigCjdf8fh/wCua/zNROodGU9GGDVt4UmvH8wE4jXGGI7t6VR1m/0Tw9pr6hrl9DYWiHBmuJyi57AZPJ9hyaTtbUDjp/hXoc/g/TPD4udRhGlSGWy1CC4Ed1A5YklXVQOckdP1ANYfij4XG0+GuoaX4Wjm1bVri6S7lutSvG+1XEinhxNlQsij7pPy8cg5OfV7VLG+tIrqylW4t5kDxTRTF0dTyCCDgg+opRFZGSRBIC8QBkXzjlAehIzx0py63/r+rAjw/wANfD7xLPp/iq41jSVtrjUtMSxhttX1M30l065JkmmjI65CjbgjAwAAMs+G/gTxXbeLNL1DxLpt5YQ6VZSwGbUNYW+luGkUKFjC8RxrgkL2z1Pb2+xfTNUsY7zTLmK8tZRmOe3uPMRxnHDAkHkU9ksUu47V5lW4lRnjhMxDuq4DEDOSBuGT2yPWjZ/h+f8AmxNKS/ry/wAkefzfCXRX0DSNNtdS1jT5dIEi2uo2V2IboI5JdC4XBUkjt2+ues0bS00XSLewju7y8EK4NxfXDTTSHuzO3U/kB2AHFbP2KD0b/v43+NH2KD0b/v43+NO7GVK5seBtJHxEPjMGf+0zafZdhZfKx/exjO7HGc4x2rr/ALFB6N/38b/Gj7FB6N/38b/Gl1uHkcZovw+0XQZvEMun/aA/iCVpbss4O0sG4TjgZdjznk0yw+HWi2EmmHdc3Cabpb6UkVwyMksL43bxtGT8uOMDk8V232KD0b/v43+NROljHdRW0kyrcTKzRxNOQ7hcbiBnJA3DPpketLlX9ejX5Nj1/r7/ANDj9L+H2m6VPoMsV7fzHQI5orMTyI3ySgDa2FBIUABe+Bzmsm8+DegXuqTzvqOtx6fc3P2qfRY78ixlkyGJaPGeWGTz16YHFdvDrXhq41ptIt9asJdTQkNZJfq0ykDJBQNu4HtWp9ig9G/7+N/jVXd1IXSxxd98PNE1L/hIhfieePxCIvtUZcAIY12oY8AEEYB5J5H4VR0T4U6No+rPqM+o6vrFzLYvYTNqt39o82F2ztOVGAOgAwME8E816F9ig9G/7+N/jR9ig9G/7+N/jS/r9AucF4d+G1j4bml+y674gurVoWghsbvUmkt7ZCMYSPAHA4G7dj681R0P4NeHtDvNMljv9ZvLbS2ElrYXl75ltHMM/vhHgAPkk8YGSeK9GuUsbO2kuLuVYIIxueWWYqqj1JJwKl+xwejf9/G/xp3d7istjzP/AIU1oA1BrldS1tYxfrqMFp9tzb20wfeWSMrt5OQd2TgnBFdT4f8ADNn4bbVGsZJ5Dql/JfzecwO2R8ZC4AwvyjGcn3ro/sUHo3/fxv8AGj7FB6N/38b/ABpL3VZf1t/khvX+v67sw9f0W38R+Hr7R755Y7e+haGRoSA4UjBwSCM/ga5vWfhZout6rBfTX2r2rJZLYzxWd6YUvIFzhJdoyRyehGa9A+xQejf9/G/xo+xQejf9/G/xpWX9f15h/X9fcecXXwj0a6s9EhGq61bS6HaPaWV1a3awzIrY+bcqj5gBj0wTkGrCfDDS7bwumi6bq2u6aRO1zLqFlqLRXNxK33nkYcOTgdV+mK7/AOxQejf9/G/xo+xQejf9/G/xp/1+N/zDY5fwl4SsPB2kyWWnzXV00873FxdXsvmTXEjHlnbAycADp29cmtof65v90f1q99ig9G/7+N/jUa2kP2l1w2Ain77ere9Nu4EFFJdSW1tOIRbzzPtDERv90EkDOWHofyqNLm2MiLLaXUQdgod5AQCTgdHJ60gJaKt/YoPRv+/jf40fYoPRv+/jf40AVKt2X/HqP95v/QjR9ig9G/7+N/jS2qhYNo6B3A/76NAE1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAES/8fkn/XNf5tXEfEuwuJ4ob7SruwOoWdldf6DeOR50DhFkdCMlWX5QG2kfOVON2a7df+PyT/rmv82rL8SeFNK8VWiQ6rHMHiDCK4tp3hmi3DDBXQg4I6qcg4GQcCjqHQoeD5Y73S2+zWkmhyWWoTre2EUiSxtMSS4DlclCzhwV2HOMgcrXO+ItVMHgW/mWSeO68Uai1rbtawPPIIT+73oiKWOIImk4HU13FloGnadZ29rYxywRW7tIoS4kBdmBDNId2ZCdxJL7iW+bqAadHoWnRT6fKluQ+mwtDaZkYiJSAp4zgnCgZOTjPPJyaW18v+D+QJtf162/P7zzbSvFFr4Vg8WadoNrcwQwQjU9Mhv7Ca1ChwEkUJIqMUSQByRx+8xmrWp6X4isvHVjBb+JZb+/fQr5rSe6toQ0Uwe37RoqmMnHBBI5+Y5GO/v9B0vVL6G71CyjuJoYZYFL5IMcgAkRl6MpwMggjiqOleCtC0bVE1KxtpzexwtbpPc3s1w6REg+WDI7YXKgheg5xjJyK9/lb8Gl+gLS/wDXa5z8fjWTV4Z9TtNRGnaZaaTHJcSG288pdTYKqUHzlkUfcHUyLweKw5/FXiTTF15FvNaMaeH7jULOXW7WzjlEkZwrokKghTuBKyoGGBwORXoEPg/QbfS9S02HTY0tNUnkubyMM372WQ5Z85ypyARjGMDGMVUT4feG1a5eSzuJ5bq1ks55rm/uJpJYXxuRndyxHHHPy5OMZOTr/XW/5N6eSGtGvVfcmvzS182Yl1rWt+GNS33uqTaxHPod3qLW8kESCKWHyyFi2KrbT5hGHLHhfm65lvLzX/DHgu88T3fiBtWKaa1w1pNZxLEsxAKmMoEYICSCHZyRj5hgk9dJo9hNf295Lbh57eB7eJmYkCN9u5cZwc7F6jt9azrHwToGn7xDZPLG0TQLBdXMtxDFGwwyRxyMyxqRxtQAYAHQYof9fe/819wLZfj+H/BOQk8QeMfD9jqOp3ljq1xZQ6fNO7619gRYplAKbPsrlthydwYMQACG65sPZX2lfEXQTrfiOXUojpN+7z3MUMJhI8jewMaqAncbskYPzGun03wVoWlOWt7Wac+QbdRe3k12I4j1RBK7BFIABC4BAGegpNN8EaBpWpR39paTNdRQvBFJcXk0/lxNjMaiR2AT5RhRwOwGTSlr/XqEXZ3OJFrq3hbwrZWWvadpHiHwnYTWhtL+wneC6hjUqUnePBVyG2klJBkZODkip7vxF4w1PUtXuPDtlq84069ktba3gSwW0mMeARMZpBPljnlNoAK4DYJbrLXwJ4fs7iOS3trlYoX8yKza/uGtIyDkbbcuYlCnlQFwpAIwQKfqHgjQNT1Ca8u7SYvclTcxR3k0cNyV4Hmwq4jl4AB3qcgAHIGKr7V3/W337C6W/rqcb438UaxZJrd7oOp6zJLpMJeW3s7C2FnassavtnlnAMpOeRC+QuPlB5a5d+I9btpPGGsHUJGtfD8QkttOjhj8uYmzSQiRipcgM2RtZTyckjAHQ6p4A8N6zNdyajYySpe83Nut3MkEzbQu9oVcIzgAYYruBVSDkAjUttC020+2+Tagi/2/ahIzSCXbGIxkMT/AoHv3pdCk1fX+tv8AgnFeLtL1yy+HOuz3niSTVVl0xsxXNpEipNwQ0bRKpCdQVbeenzDBztaXNqum+NU0i/1ebVILrT3uwbiGJDA6SKpVPLRfkIfo24jaPmqzF4C8PRW88DWtxPHPCbcrc3083lxHGUj3ufKU4GQm0HavoMbB020bVY9SMX+lxwNbrJuPEbMGIxnHVRzjPFPS6fr+v6mVnbz0/NfoWqKKKRYUUUUAFFFFABUS/wDH5J/1zX+bVLUS/wDH5J/1zX+bUAYmpsRrr84zbR/+hSVWkY+ZbjJ5uYe//TRa6G60+0vSpu7aOYr03qDio4dI063lWWCygjkXoyoARQBcooooAKit/wDVH/ro/wD6EalqK3/1R/66P/6EaAJaKKKACiiigAooooAKKKKACiiigAooooAKKKKAIDFHJeP5iK+I1xuGcctWV4i17RfC9iLnVIySwYxwW1s00su0ZO1FBJAHU9B3IrXX/j8k/wCua/zauG+Jltb3Kw/ZdX/s3W47G6a2V4PNjuoMJ50bA4/2CMMGGM8gMKNb2QdDrtLutL1rTYr/AEzyp7aXO1vK2kEEgqVIBVgQQVIBBBBAIqSFrCe6uLeJI2ltiolAj+6WGQM4xnGD+I9aw/CFy+r6dLLfw28F3p+o3EUj6bI8dvcyKSrSbc/MDuOVbdhgeSVBrCuGnurfQ0lvLiytvEmsyy3MttK0MkkXlSNBGJFIZNyxRZKkE4Iz81Pe1uv67B38r/hf/L+kegfZbf8A54R/98Cj7Lb/APPCP/vgVwt7bwQ65pHheHxBqL6bPcXP2g/2oxuFlVEkS2M4PnDhmkwX3YXGdvFZcEl3f6zY6Gus6k+lw67dWYmS9dZbiFLQv5bTKwc7JCV3Z3fJyc5NJa7ev5f5g9Fd/wBb/wCR6d9lt/8AnhH/AN8CoC9guoLZFI/tDxGUJ5f8AIBOcYHJH159DXl93L4k1K68Q3tnd29k2j3j28FzfeJLi2SzSNVKGW3WJo5FYHeWkZiwfqOMbPia6uYtN1vW47h7Zo7zT7JZopCgEUdxGZTnsuZZFJ7heeKFqk+/6/8ADq47a2+Xz6nc3K2lrbvNLb7kQciK3Mjfgqgk/gKrX1/o+mM63729vshad2kTCqgIBJOMDlgAOp7VxHjPWruHXPE0FjqM8f2XRLOQJDOy+VI1xJlgAeGK7eepGK0Nei0m+h1+88RXk1hYPPa6fFdx5HktHIGSQHBC4nkwWYbflGeKlO+39a2/MNFJx9PxV/yNvTPEeg6tfGzt454bryzKsF9ps1o8iDqyLMilwMjO3OMjOMitW2W1urWO4it9qSKGUSwGNgD6qwDKfYgGuKt28S6B4g0TT/Et/p/iVLpblYdQTTxbXds4Rn3EKzIUKjYSoTkpnOay/C80/iSLQ7PXtX1GGGPw3b30bQ38tu9zKxIlld1YM+wBOCSv7zLA5GL/AK/P/L+uhZ2b/rov1PRNOuNN1awS909Y5reQsFfytuSrFTwQD1BqprWt6NoEltFqEMzS3RbyYrTT5bp32gFjtiRiAMjkivLfDlzq2q6f4e0TTpPtlo2nXF4rHWZtM+1v9pZS4kt42dtoIJUFV/eAkHjG7CviG4vvCUaazpUmpR/2hGbvD38WxSFCFlaEu4ACs3HzKcjNTry3/re36Ep3tf8Aq6udzo2qaPr0EsumAMYJPKmimtmhlhfAO145FV1OCCMgZBBHBrR+y2//ADwj/wC+BXmj6jd6LceLbfxFNNdXM1xYAXmhL9meXz9sSQKJHIiYFeW8zO2UMCpxjGm1HWdMbxhp8V7cafJbaXaTpAutzalJaSvK4yXlGUcrtygLL0OTmm/6+6/9f0xvRNvp+V7f1/SPW7yfTdP8n7WsUZnk8uIeXku21mwMD+6rH8Ki0rUdG1vRINX0uS3nsLiPzY5wm0FfU5AI9wcEd6xTp0UGtR2Fu91NBpdhLcM91cSTuZZiVU75CxPyrLxngMO2K4/wpMYPBvh7w0km0+IdNsZYlyf9WIlF0BjoPLQc/wB6X3pxV0/l+N/8r+gPT+vT/PzPS9IvdK13S4tR0ryri1lLBJPKK52sVPDAHqDV37Lb/wDPCP8A74FeYaAXvjoGhXF3dWmm3TarM4tLl7Z55Y7r5I/MQhwAru2FIzt5yARTrOS61a/0bR21rUpdNXVL+18+K8eOW6hiTKq0qEMdrgruzuOzknJyn/X32JvZJs9N+y2//PCP/vgUfZbf/nhH/wB8CvJ5ZvE+qS67qVndWtjLpmoS20FxfeI7i3jtEjYBBLarCYnVlwxLkswkyGHy7fXBnaM4zjnFHRPuU9G0R/Zbf/nhH/3wKPstv/zwj/74FS0UARfZbf8A54R/98Co1t4PtTjyY8BFONo9WqzUS/8AH5J/1zX+bUAULueOC6+zwWUEjBA7F2CAAkgfwnPQ1Et4FkjE9hbKjuqbkk3EFjgcFR3IqrrM0dvrZaeRY1e3QKXOASGfP8xVNbmCe4to4Jo5XNxEQqMCcB1J6ewoA6r7Lb/88I/++BR9lt/+eEf/AHwKlooAi+y2/wDzwj/74FFsAsJCjADuAB2+Y1LUVv8A6o/9dH/9CNAEtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEBljjvH8x1TMa43HGeWqjrWl6F4j042GvWtlqFqTu8q4VXAbBG4Z6HBPI55rQX/AI/JP+ua/wA2rF8VeLIfDNquyxuNSvZIpJYrO2KhmSMAu5ZyFVRlcnOeQACeKAL0djosVvaQRWtgkNl/x6xrGgWD5SvyDovysRxjgkd6W6s9GvtLOmXttY3FgVVDaTRo8RVcYGw8YGBgY4wKXRdYg1zTEvLeKaD52jkguE2yQyKxVkYAkZBBHBIPUEgg1La6hFd3l5bQq+bN1jkcgbSxUNgfQMufrQw2KJ0Tw0dDGinTNKOlA5FgbePyB827/V42/e56deasW9no1pDaRWttYwx2WRapHGirBkEHYB93gkcdjWhRQBj3mieGtQ1WHU7/AEzSrrUINvk3c9vG8se05Xa5GRg8jB4NWzDpbWc1o0dobaff5sJVdkm8kvuXodxJJz1yc1dqr/aEX9rjTgrtN5BnZgBtRd20A85yTnHH8Jo8g21KFroPhixtXtrLStJt7d0EbRQ20SIyhiwUgDBG4k49STV5V05LeSBBarDKXMkYChXLkliR0OSST65NTXMrwW7yRW8ly6jiKIqGb6biB+ZFZ2reJdP0WSRb4yARQCZ2RN2NzhEXA5LOxwoA5waT7MBmk6F4Z0FpW0PS9J00zALKbO3jh8wDoG2gZ6nr60670Xw3f2NtZX2maVc2loQbeCa3jeOEgYGxSMLgccVXsPFX2nVYtO1LRNS0e6uEZ7Zb3yWW428sFaGR1BAIOGKkjkZwcbVtK89rHLLbyWzuoZoZSpaM+h2krkexI96oDMvdD8Najp8VhqGl6Td2cLmSO2nt43jRjnLBSMA8nn3NNvtA8L6nY21lqWk6Rd2tooW2guLaKSOEYxhFIwowAOPSrei6vBrukxajaJIkMpcKsoAYbWKnoT3U1U13xH/Yt7Y2cOk32qXV95hihszCCAgBYkyyIO471N1YF5EkGkeHrXRpNItdP0yHTZAweyjgjWFg3XKAbTnvxUdtoHhiztvs9npOkQQeWY/KitolXYW3FcAYxu5x681JofiCLW/tcZs7vT7uykEVzaXaqJIyVDKcozIwKkEFWI7cEEDWp+YulisGsRJI4NuHlAEjfLlwOgJ79ahhttJt/sv2eCyi+xxGG22Ii+RGcAomPur8q8DjgelSXmpQ2NxZQSq7SXsxhiCDOCEZyT6ABDz9PWsH/hO4HikvbXRNYutHjJ3atDFGYSo+86oZBM6D+8sZBxlcjmgo1LrSvD99ph069sNNubEuZDazQxvFuJLbthGM5JOcdTU0NrpFulqlvBZRLZLstVREUQLjbhMfdGOOO1W4J4rq3juLaVJYZVDxyI2VdSMggjqCKko20J0ZkXOi+G73V4tVvNN0q41GHHlXksEbTR45GHI3DHbBrS+1W/8Az3j/AO+xUtFAyL7Vb/8APeP/AL7FH2q3/wCe8f8A32KlooAi+1W//PeP/vsVGtzB9qc+dHgoozuHq1WaiX/j8k/65r/NqAEae1f70sLfVhSCW0U5WSEH1BFU77UJor77PA0KbY1dmkQtnJYYABH92oRqd1HLF5slvIjyIhVImU/MwXOdx9aANT7Vb/8APeP/AL7FH2q3/wCe8f8A32KlooAi+1W//PeP/vsUWxDQkqcgu5BHf5jUtRW/+qP/AF0f/wBCNAEtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAES/8fkn/AFzX+bVwPxZk0ZNNg/te7vNJuBBcGz1WKRY4lfau63dmyp8wDhGUhthxggV3hkEd4+4Mcxr91Se7elJK8E8LxTxNLG42sjwsQw9CCOaOoHL+E9Uj1HSLa48QXlpfyxX00elajNEkbXiKrYljHTcU3/MgAZQWA2msLVorR9A0C98R7DoWo6rJfaoZyBBskjkaAT/w+WD5K/NxlUzXpH2hP7sn/fpv8KPtCf3ZP+/Tf4Uf8D+v19Q/r8/8zzK+/wCEMH9jrb/Yv+EGFzc/as5/s37QQhj5P7rysmTGP3YkwPv1SsdN07V9T0azSBLjwy+u3f8AZ0DDdBLbizOQqkYMXm+YVA+XAGOMV619oT+7J/36b/Cj7Qn92T/v03+FPTX+u3+X3Ceq/rz/AMzxXVrW2l17W4ta1vQNE1aO9KaaLrSpJ9Rih4EDWbCdWI9FiQjdvBDHdnqPFCG58M6/rLZlWO+s4zKi5IgtLhGkYgdAreeSO2DXoX2hP7sn/fpv8KPtCf3ZP+/Tf4UlpFLt/wAD/IpO0ubz/pf5HkvinWdO1zUvFNzo95DfWw0GzUXFu4eNz9qlztccNjocHg5FdRqf9m3Wn+IdT1uwuNQ0+e5isWFmC0kcUL7S/wApDAJK0rEr8y7cjpXZfaE/uyf9+m/wo+0J/dk/79N/hUpWX9d7g3eXN6fgrf8ABPNvD16bPWtP0/wr44l8Y6S6Trfx3N1DeSWY2s6SmeMBuWGwK5bIbj7prH0IaD/Znho+PhZ/2QPDlsNNOoY8j7Rk+bt3cedt8rb/ABY3bf4q9h+0J/dk/wC/Tf4UfaE/uyf9+m/wq7/19/8AmF9Gu/8AwP8AI8JsVgl0bw3FrV5o9loJsZzbyeJ7N7m3e4+0PkMrSxqs2zBBcliN+MfNnckltNNt/BrXnjf7BaYvvJ1dY47VChI2RoLoSDZjAUktuUAgkHNetfaE/uyf9+m/wo+0J/dk/wC/Tf4VNvdt/W9yUrW/rpb/AIJ5QNQis9H8V3JuV8YaJcz2bDUprhIY5WYiOVJZoE2mGNVVmITaFZ1YH5q51BZJB4wg0m50cWs+kWkgPh22a2tS4ncMY2DssjLlVMi47AgEYr3n7Qn92T/v03+FH2hP7sn/AH6b/Cm9f68rf8Ebu42/rc5U6Fa/2rPpOiWtvp9pYabIsccEapGs9wSN2F6EBCScc+Z9araP420HSfC1lpupXEdpq9paJA+it/x9tIihdkcP35ASPlKghhyCRzXZ/aE/uyf9+m/wo+0J/dk/79N/hSto13/4P+Ydb/10/wAjxm103wzpHiaxsPiSlhGkPhq2VYtSKm2jk86YlMt8hdQcL3wG28Zpt2lxJH4fh8X3elWOkf2fJ9lfxVZPcwM/nHYrq8sarMIdmC5LY34wd2fWU0+0j8Rz60Dc/aZrSO0ZDGdgRHdgQNuc5kPf0q/9oT+7J/36b/Cn0Xz/AF/zHJ3lfyX5L/I8s0nQ9P1TWvCdlqlzF4hsP7N1F4zLaPHBLH50OxRFIWLRqCNhYsCFVgTwa634cKIfCkltGNsNrqV7BBH2jjS5kVEHooAAA7AAV032hP7sn/fpv8KPtCf3ZP8Av03+FVf+vncOliWiovtCf3ZP+/Tf4UfaE/uyf9+m/wAKkRLUS/8AH5J/1zX+bUfaE/uyf9+m/wAKjWdPtTnEn3F/5Zt6t7UAZGs7otXMrRysjwIoZI2fkM5I4B/vCqaMbi5t44oZ8+fGxLQsoADgk5I9BXT/AGhP7sn/AH6b/Cj7Qn92T/v03+FAEtFRfaE/uyf9+m/wo+0J/dk/79N/hQBLUVv/AKo/9dH/APQjR9oT+7J/36b/AAotjmEkd3fqMfxGgCWiiigAooooAKKKKACiiigAooooAKKKKACiiigCJf8Aj8k/65r/ADaud8ZeKrrw/FHb6RZQ3moz289xGtzMYokjiC72ZgrEnLqAoHOeoAzXRL/x+Sf9c1/m1cP8Vks5dDWPVtCub60EU0keoWayPLZThRs4iHmKrDcC4OBgBuGo6r+v6/pAdRpetG6sbZtWt/7Kvp5XgFpPICXkTdkRk48xSFLAgDK8kDkBD4isoP7Um1Ge3sbHTZVhku7mdY03FVY5LYCgb1HXkmsvwbPeWehLHqh1SWOa8mXT2vYZHuBbgFk847dynAODJhvug/McVkXen3FrpnhjVr2wubmK31KTUr+COB5ZYWmSUq3lAF3KPIq4AJA5x8vD319Px/ph/wAH9f8AgHXHxLoQ0Ma0da04aUTgX5u08g/Nt/1mdv3uOvXill8R6JBpkWpT6zp8djMpeK6e6QRSLjOVcnBGPQ1yV7PBJrmkeJLfw/qKaXbXFyZwNLYTNNIiKtz5AHnHo8eSm75s42fNVHS9HubnxNpepnSri3sJdfur63ilt2jMCNaFPMdTyheQO2GAOXGQDRa9+n9LT8b/AC+5PRX/AK6/5fj9/dzeJNDt9SttPn1nT4r27VWt7Z7pBJMD0KKTlgcHGKS4122tdaaxuHihjjt0mlnllCBDJJ5cS89SxDAc9QBzmvNdR0a5+2+JNM1q58Ur/al+8sVvo+lwyw3cbhRGfPaBhG6hQpMkqbdgI2rg1v8AiHS7688L65eQ2lzPcNf28iQ+WfOeC1mjJCg4LE7JGUD724Y68pbKX9f0r/gVb3redv69f6udfqOrW9lFcKLmyW5gjWVorm6EIVGbaGY4JVSQQDjkjFZ2v+LYNAluFlt2mW3t45X2OA26WURRJg8fM275iQBtrivERvPEV94kvNN0nVPs82i2kEDT2EsLTOtzKWUI6hsgEcEDjnoQa6i7in/s7Xb+XQf7ZW7uhA+nyqFaS1jIjbCuMP8A8tHCnAbPB5yZu3/Xm1/wf+AH2mvT8r/5ovWOsa8uqR2evaFBapPGzRXVhevdRIV5KylooymQeDhgcEZBwDO3ifSbLSbG91rVtKsVvVXynN+hhlYjOI5G27x6EAZ9K4nw7otlp2t6fH8P4desNIhSZdQsdRivIrYIysymJLkDEnmY/wBXxgtu6jMfheC48NwaJe67pGoTQSeHLexjWGwknktpVJMkbxqpZN4KckBf3eGIwub/AK/P/L+noy2jf9dP+HOxsfGmlP4Xttb1u8s9Gt7iR4lN3doibldlwGbaCSEJxRrXiK+tr7SbPw/Y2WpSamkkiSXF80EQRFVshljk3Z3DHH415xoukappFv4evLtNe0Kzj06e1RdL0xLqa1kNwz+W8ZhlZVZAuGVcfJyeVrQm0azsbXwr9pt/FR02Nr6RnjhuEu4zIQy7lslDRqckhMLgYBAIIEa8t/63/Xf+rkx6f10v/wAD+rHc6P4le4TVY9ftoNJuNJcC7YXQlgCFA4cSsqHbtPO5VwQe2Cbdh4o0DVbSa60vXNNvbe3IWaa3u45EjJ6BipIGfeuAitL/AE3S/EN34c0+9vdKubmzmgh1y1uLmZZQ4W4m8mUieQKiRsqk7iyHbxism803VNWfxVJJDrmqx32jW0Edxf6ULY3DLO5dEjWNGCjfwJBuIycsuDVP+vuv/X9IHpFv+t/6/rU9Ol8U2MkNjLo81vqsV5NJGstrcK8ahEdnO5cg4KbcerCuet/HXiH/AIQ2DxXfeHNNi0d7RL6XydYd7iOFlDEhGt1UsFOcbx04NbtxaTXHiS5l8llt7LTTDb/KcO8pJfHHOBHGOP7xFefweCbrTfhl4b1S1g1i7u9OtLaa/wBBur+6kju1CLvi+zs5UOp5VNu3K7SvTDjazb8v1/yT8hu+y8/0/wA7bHpt94j0XS5LWPVNXsbGS8/49o7q5SJpunChiC3UdPUUup+ItF0SaCLWdYsNPkuSRAl3dJE0uMA7QxGeo6eorzzV7S4PijXbrUbnxJbWGs28P2ZdL0aO6WeERbWhlD20jRsGL/K5Vf3nruxe0+2t/C2o3kGs6Rq2oW19plpa28j2LX0ksccZRoJjErKpySSWwjbzgnBwun9eYnp1/rQ7a/8AEGjaXfW1lqerWNndXRAt4Li5SN5iTgBVJBbk44qPU/E2g6K5XWNb07T2BUEXV3HEQWBKj5iOu049cH0rzjUdJuYtX8SQas/iS0tdY8s29lpOlQXUU0PkJH5LuYJRGysrLhnVBuBBwSa6Gx0Fode8RvJZXEgk0S0tI5rlN7zBUm3IWHDNkjdjuR7Um7Rcv69P0GtZJf1/X9em/H4u0iXxpL4XS7h/tKK1W5aPzkyQxPyhc7iwA3HjgMp71t15/wCEba707xFpLX9pdx/afDNnbBzbSFUliLs6SNjCHDjAYjPIHIr0Cqatp6/m0JO+vkvxSf5hUS/8fkn/AFzX+bVLUS/8fkn/AFzX+bUhmbqF5MupG3juHgVYlf5FUliSw7g/3agF9cRSwn7ZLKGlRCjomCGYL2UHvTtWtrr+1PPgtpJ0eFU/dkZUhmPcj+9VWO1vZ7iBTYzRKs0bs8hXACsGPQn0oA6aiiigAqK3/wBUf+uj/wDoRqWorf8A1R/66P8A+hGgCWiiigAooooAKKKKACiiigAooooAKKKKACiiigCAuVvH2xs/7tfukcct6mnea/8Az7yfmv8AjQv/AB+Sf9c1/m1cj8QfFF/oUdrZaVcWljc3sM8kd5eJ5iBo1BEapuXdI27IyeiscHGKAOu81/8An3k/Nf8AGjzX/wCfeT81/wAaz9LvtQWxto/EFsItQkleEm0jd4X27iJMjPlqyrnDngnbknGakviy0sDqFxqsghs4LxbK2EULyy3Eu1SQiICzncSNqgn5G9Dg6gbfmv8A8+8n5r/jR5r/APPvJ+a/41i/8JvoP9lpffapijzm2W3FnMbkyjqn2fZ5u4D5iNuQvzdOaR/HHh9NPtbz7bI8d3K8EMcdrK8zSoCWj8oKXDgKcqV3cHigDb81/wDn3k/Nf8aPNf8A595PzX/Gsa58a6FaX32W4upldSiyyCzmaK3ZsFVllCbImwyna5UjcOORTr/xJBputTQXkiQ2VtBC00pjZj5k8vlxKMe6nPHdTwM0Aa/mv/z7yfmv+NHmv/z7yfmv+NZeseIrHTlvIHv47W6tbdLmRpbd5VjjdyisQuN2SrDAOR16VneKPF0ugf2hJDBHNFp9nFNMXJUK0suxWZh0RQrs/BOADSuO2tv61Ol81/8An3k/Nf8AGjzX/wCfeT81/wAa5vQdU1y6kguZNQ0XX9Huo5CNR0mIxLAy+oM0gkBORlSCpXkHORKnjXSLbSdLuLu/a7k1C2FxE1jp87mSPAzL5Sh3jT5hy3AyATVCN/zX/wCfeT81/wAaPNf/AJ95PzX/ABrldG8fWNx4X07UtTk33F/5rRQabay3LSIkhXescYd9uNuW6ZYcjIFP1TxDf399oUHhK/05YdVSeU3V1avcLtjCnAVZIyDkkHJ4xjFTcSaZ0/mv/wA+8n5r/jR5r/8APvJ+a/41zml+Jri0g1oeKprTGkTpE17Zwukc+9FZVERLsHy4XYGYklcctipovHfh6S2v5pbua0XT40lulvrKe2eJHJCuUlRWKkgjcBjg88U7rcZu+a//AD7yfmv+NHmv/wA+8n5r/jWHceIJr9NOj8Pjy5L+SUCTULKVPKREYlzE2xyN/ljsCG4PSsmw1Lxc/iPVLLUNb8Px2ulCCWeUaRKm9HUs3JuiEwFPJyO+OKV7bgdl5r/8+8n5r/jR5r/8+8n5r/jWRpfjHQ9Yumt7O6kWQQmdRc2stuJYh1kjMiqJEGR8yZAyOeRmC38caLqKzx6XdO9wLeSe3861lijuVUctE7qqyr05QkYIOcEGhuyuNK7sb3mv/wA+8n5r/jR5r/8APvJ+a/41zFv4+0u20HTLrW5ZEubrT4r24W0spp0t1Zcl3KK3lpndguQPlPJwa6tWV0DowZWGQQcgiqaabTJTTSZH5r/8+8n5r/jR5r/8+8n5r/jUtFIZF5r/APPvJ+a/41Gsr/anPkSfcXjK+re9WaiX/j8k/wCua/zagA81/wDn3k/Nf8aPNf8A595PzX/GsnU52OqmFpJlRIEcCOVk5LMDnBGfuiqwnMM0DRS3GTPGhDzuwIZwDwSR0NAG/wCa/wDz7yfmv+NHmv8A8+8n5r/jUtFAEXmv/wA+8n5r/jRbHMJJGPnfg9vmNS1Fb/6o/wDXR/8A0I0AS0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUARL/wAfkn/XNf5tXJfEi21K80GS1g8Pw+INOmglW4tQiNOkuAYpEWRgrKCGyPvZKlc4IrqyZBeP5aq37tc7mx3b2NO3XH/PKP8A7+H/AOJoA5rwbp154e0JbV9MmhhnvJpLezSZHGnQkFkjYl8Y4xtTcFLgD5RuqlPoWp2WmeHNQt7A3l5pt3Je3llG6LJI86SCTyyzBNyvKTywBAbnpnst1x/zyj/7+H/4mjdcf88o/wDv4f8A4mnf9PwA5G9/t661TSvEY8Ozg2LTwnS/tcJuWikCDzPveUHDJ93zCNhJ3bvkqnp3hzV5PEdhrV9YC387WLi/lt2lRmtI2tPIQEg4LHaCdpYAseSOa7rdcf8APKP/AL+H/wCJo3XH/PKP/v4f/iaE7PT+tv8AIT1Vv6/rU8zvfB12uo63aXuhazrcOp3ck0M1t4hktLPy5cZjmjEyldvIJSJ8rg8nIrc1rw7qN94W1kW1sDfz30VzBbPIo3pbyRlEDZIG9YcgnoX5xzjsN1x/zyj/AO/h/wDiaN1x/wA8o/8Av4f/AImktIqK6f1+hV9b+dzzrWtH8ReIrvX7waFNYreaTbWttDcXEJkZ0uJHYNsdlHDAj5iMEd8gdMbbXLWz1W/0u3t21K5vhItvdvhZIEKptDKTtLIhZSc4LDcOoG/uuP8AnlH/AN/D/wDE0brj/nlH/wB/D/8AE0krf153Fu7vy/BWOA0zwrE3iqy1XQ/B7+EPsySreHFtGL6N0IEey3kcNh9r7nwRtwM5OG+HNG17wlBpN3/Ys2pSNodtp1zbW9xCsltLEWbJLuqsh8wglWJBUYDZ49B3XH/PKP8A7+H/AOJo3XH/ADyj/wC/h/8Aiaq+lv66/wCbHfR+f/A/yPKbHwZrWnwaPeanpOp3eyyltbiw0XWDaSW8hneRXDCaJZEIbBBbIwuF5OL174RVbXw6Z/Az6nZW73ctzpcl1DevG8pDK7vcyAO5OS2GbBJALDk+kbrj/nlH/wB/D/8AE0brj/nlH/38P/xNTZKPKv61uJaf15WPOrbw3rel6drl54O0p/DS30lq0WkxfZhInltieRFBeBJJI8KoJ25QFsEnGa/g/Xbo+IXj0fUo4tQ0y3t4BqmqrdTySRzMz78yMseQ2QqHZgfwk7a9X3XH/PKP/v4f/iaN1x/zyj/7+H/4mm9Xr/WlhPWLXf8A4cz47KeTxZNfzpiCGzWC2ORyWYtKev8AsxDkDofWsHVfC1/q8njW2GLePWrGK2tZ2YYLCJ1JIHIALDt9K67dcf8APKP/AL+H/wCJo3XH/PKP/v4f/iaQ9pcxw2oaVrnjCSK3vNIl0GK20+5t2nluInMss0XljyvLZjsHLZbYfufL1wNYeINbfSLe70J9LXR4ZTLM9zC6XMhgeFUh2sW2HeWy4jPC8dcdzuuP+eUf/fw//E0brj/nlH/38P8A8TQ0mn5/8H/MFpa3T/gf5Hmtz4b1S007SDa6JrMWq2+lWsH9o6LqkMbJJGOYp4pXEboCTg7ZeGbAHGfRdLjvYtIs49WmjnvlgRbmWJdqvIFG5gOwJzUu64/55R/9/D/8TRuuP+eUf/fw/wDxNW5Nt+epKilbyViWiot1x/zyj/7+H/4mjdcf88o/+/h/+JqSiWol/wCPyT/rmv8ANqN1x/zyj/7+H/4mo1af7U/7uPOxf+Wh9W9qAKGqafdy6h9otEikDRLGyu5XGCxz0P8AeqtHpeoyXEPnxQRxpKkjMspY/KwbGNo9K3N1x/zyj/7+H/4mjdcf88o/+/h/+JoAloqLdcf88o/+/h/+Jo3XH/PKP/v4f/iaAJait/8AVH/ro/8A6EaN1x/zyj/7+H/4mi2z5J3DB3vnB/2jQBLRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBEv8Ax+Sf9c1/m1c18QV1S08K6lrGka9faZNp9jNMkVvFbvHKyqWG7zYnPbsRXSr/AMfkn/XNf5tWd4q0qfXPB+r6VaNGk97ZywRtKSFDMhAJIBOOfQ0mXC3Mr7GZBdanoEMSP/wkHiye6jEmBFZxi3AAz8+IE5JHBLNxwMA1mSePLi51zQJdIsNRvLTUbG7d9OjiiWbzYpIlwzOwVdmZAfnCntuO3M/ijwpqWrahYyC10/WLCG18qTTdSvJYbcSAgiUxqjpN/uuowQCCD0ztE8G+JvDUWhvpy6LcyaZBe28kBlkt4pVmnSRNhWNvLwFzjDYxtGc7hate78/1t+hnG6VvL+v6/p6zeMBd6poEtrJJZ2dxJdpf29zGqyRNDGSUfrgqwPKnB6gkEGrll41trm5t0udL1LT4L1WaxuruONUu8KXwoVy6EoCwWRUOAeMgisc+Aby8S3Oo3MAkuJb6bUTbsw2NcxGMLESMnaMDcducZwM4EXhbwG+j31iLnwt4PtRZxsj6nY2+bm5+XYCF8pPJLZyx3yd15zuEK93fy++2v3Pb9QX6v7tLff1/Qu6VD4k8S6LBr8XiOfTHvYxc2mnx2kLW8cbDdGs29DI5II37ZE6kLtxmsseNdX1jXPDVrBa39hBcW89zfyWZtnXfDIsbx5lO7y1YtuKqGOU2n72Nmx0vxXoGmR6Hoi6RcWEC+TaXt1PKkttF0RWhVCJSi458yPdjnb1qTT/Bp0zV9EeCZZrPTtPubWZpj+9mkleJi5AGOSjk9OTwKrS/u7efo/1tf8Br+8VNMj8U+I/Dtv4htvEDafc3kIubTTfssRtVRhujSbchlYlSNxV156AY50tR8Yf2bcyWi6PqGp3VrbrPfrpqo62oYEjmRkLk7WwqBmwPujIzQtNH8XaNoo8PaM2kmxhTyLPUpppFmtYeigwBCsjIOAfMXdgEgc06TQPEWi313L4Zlsr5b62iikk1W5kSSGWNNglyqN5uRglTs5X73zcKX9zbp+P/AAP0Et1f5/1/XoTzePrNrsW+jaZqWtO1hFqKmxWIK0Em7awaWRBn5Pu9TkYBwcQQ+OWvPFWmQWdlNJol9pD6j9vIjUIMqQzBnDAAHBG3OWHYHEnhvwdN4ev22XKT2qaLaadG7ZEjPCZdzMMYAO8dCe9Zln4E1ODT9DsZpLV4ItBl0fUWSd0dN4TEkPyfNypGG29Qc8Ypysm+XXe33St/7aVZP8P0v+puWPjS3u7u2juNK1LT4b4MbG6u441S7wpfChXLoSoLBZFQ4B4yCKqaZ8RLXVU02WHRdWittWjLWFxMkKpcOIy/lAeZuVsK2CwVTt4YggnM8MeA5tHvLIS+F/B9mbOJkOqWVvm5uTtKBgvlL5JbOWO+TuvOdw0LDwhf2uh+C7KSa2MmgSI10VZsOBbyRHZ8vPzODzjjP0ptLWz/AK1FHa7IdC8f3N54a0m4vdDvpdV1IymKxtjbhpEQ5aRS0wUIMqOW3ZPQ9a6/Tb3+0dNgu/s1xamVcmC6j2SRnurD1B9CQeoJGDXCy+C9Un8H2uhalofhvWre0lmjWG9nkUvE2dkqyiImGQAkEBW65DjGK6rwnpV7ovh2Gz1O7e6uA8khL3Ek/lhnLLGJJPncICFDNycZwOglba/1/X9W2B9DZooooAKKKKACiiigAooooAKiX/j8k/65r/NqlqJf+PyT/rmv82oAxdV2SayyTxJKq26FVcZAJZ88fgKq4hhmt3gt4on+0RDcihTguoPT2JrV1HSp7q8FxbTxxsYxGwkQsCASR0I/vGq8Wh3fnxNcXULRxyLIVjiKklSCOSx7igDcooooAKit/wDVH/ro/wD6EalqK3/1R/66P/6EaAJaKKKACiiigAooooAKKKKACiiigAooooAKKKKAImjk84vG6rlQCGXPTPuPWjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qmiKcSF/NjywA/1Z7Z/2vep6KAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qjbcf89I/wDv2f8A4qpaKAIttx/z0j/79n/4qnRIY49rHcckkgY6nP8AWn0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/Z
[img[tps1.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Leonard, N.R., Jha, A.P., Casarjian, B., Goolsarran, M., Garcia, C., Cleland, C.M., ... & Massey, Z. (2013). Mindfulness training improves attentional task performance in incarcerated youth: A group randomized controlled intervention trial. //Frontiers in Psychology, 4//, 792. https://doi.org/10.3389/fpsyg.2013.00792
Bender, K., Begun, S., DePrince, A., Haffejee, B., Brown, S., Hathaway, J., ... & Schau, N. (2015). Mindfulness intervention with homeless youth. //Journal of the Society for Social Work and Research, 6//(4), 491-513. https://doi.org/10.1086/684107
Allen, J., Fok, C.C.T., Henry, D., & Skewes, M. (2012). //Umyuangcaryaraq// "Reflecting": Multidimensional assessment of reflective processes on the consequences of alcohol use among rural Yup'ik Alaska native youth. //American Journal of Drug and Alcohol Abuse, 38//(5), 468-475. https://doi.org/10.3109/00952990.2012.702169
Milligan, K., Badali, P., & Spiroiu, F. (2015). Using Integra Mindfulness Martial Arts to address self-regulation challenges in youth with learning disabilities: A qualitative exploration. //Journal of Child and Family Studies, 24//(3), 562-575. https://doi.org/10.1007/s10826-013-9868-1
Tirch, D.D., Leahy, R.L., Silberstein, L.R., & Melwani, P.S. (2012). Emotional schemas, psychological flexibility, and anxiety: The role of flexible response patterns to anxious arousal. //International Journal of Cognitive Therapy, 5//(4), 380-391. https://doi.org/10.1521/ijct.2012.5.4.380
Haydicky, J., Wiener, J., Badali, P., Milligan, K., & Ducharme, J.M. (2012). Evaluation of a mindfulness-based intervention for adolescents with learning disabilities and co-occurring ADHD and anxiety. //Mindfulness, 3//(2), 151-164. https://doi.org/10.1007/s12671-012-0089-2
Thompson, M. (2015). Poverty: Third wave behavioral approaches. //Current Opinion in Psychology, 2//, 102-106. https://doi.org/10.1016/j.copsyc.2014.11.010
Mastropieri, B., Schussel, L., Forbes, D., & Miller, L. (2015). Inner resources for survival: Integrating interpersonal psychotherapy with spiritual visualization with homeless youth. //Journal of Religion & Health, 54//(3), 903-921. https://doi.org/10.1007/s10943-015-0044-3
Barnert, E.S., Himelstein, S., Herbert, S., Garcia-Romeu, A., & Chamberlain, L.J. (2014). Innovations in practice: Exploring an intensive meditation intervention for incarcerated youth. //Child and Adolescent Mental Health, 19//(1), 69-73. https://doi.org/10.1111/camh.12019
Silberstein, L.R., Tirch, D., Leahy, R.L., & McGinn, L. (2012). Mindfulness, psychological flexibility and emotional schemas. //International Journal of Cognitive Therapy, 5//(4), 406-419.
Le, T.N., & Gobert, J.M. (2015). Translating and implementing a mindfulness-based youth suicide prevention intervention in a Native American community. //Journal of Child and Family Studies, 24//(1), 12-23. https://doi.org/10.1007/s10826-013-9809-z
Viafora, D.P., Mathiesen, S.G., & Unsworth, S.J. (2015). Teaching mindfulness to middle school students and homeless youth in school classrooms. //Journal of Child and Family Studies, 24//(5), 1179-1191. https://doi.org/10.1007/s10826-014-9926-3
Grabbe, L., Nguy, S.T., & Higgins, M.K. (2012). Spirituality development for homeless youth: A mindfulness meditation feasibility pilot. //Journal of Child and Family Studies, 21//(6), 925-937. https://doi.org/10.1007/s10826-011-9552-2
Le, T.N., & Proulx, J. (2015). Feasibility of mindfulness-based intervention for incarcerated mixed-ethnic Native Hawaiian/Pacific Islander youth. //Asian American Journal of Psychology, 6//(2), 181-189. https://doi.org/10.1037/aap0000019
Le, T.N., & Trieu, D.T. (2016). Feasibility of a mindfulness-based intervention to address youth issues in Vietnam. //Health Promotion International, 31//(2), 470-479. https://doi.org/10.1093/heapro/dau101
Dalen, J., Brody, J.L., Staples, J.K., & Sedillo, D. (2015). A conceptual framework for the expansion of behavioral interventions for youth obesity: A family-based mindful eating approach. //Childhood Obesity, 11//(5), 577-584. https://doi.org/10.1089/chi.2014.0150
Shorey, R.C., Brasfield, H., Anderson, S., & Stuart, G.L. (2015). The relation between trait mindfulness and early maladaptive schemas in men seeking substance use treatment. //Mindfulness, 6//(2), 348-355. https://doi.org/10.1007/s12671-013-0268-9
Dahl, T.I., Rice, C., Steffensen, M., & Amundsen, L. (2010). Is it language relearning or language reacquisition? Hints from a young boy's code-switching during his journey back to his native language. //International Journal of Bilingualism, 14//(4), 490-510. https://doi.org/10.1177/1367006910371024
Wilson, J.D., Vo, H., Matson, P., Adger, H., Barnett, G., & Fishman, M. (2017). Trait mindfulness and progression to injection use in youth with opioid addiction. //Substance Use & Misuse, 52//(11), 1486-1493. https://doi.org/10.1080/10826084.2017.1289225
Dariotis, J.K., Cluxton-Keller, F., Mirabal-Beltran, R., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2016). The program affects me 'cause it gives away stress: Urban students' qualitative perspectives on stress and a school-based mindful yoga intervention. //Explore: The Journal of Science and Healing, 12//(6), 443-450. https://doi.org/10.1016/j.explore.2016.08.002
Zoogman, S., Goldberg, S.B., Hoyt, W.T., & Miller, L. (2015). Mindfulness interventions with youth: A meta-analysis. //Mindfulness, 6//(2), 290-302. https://doi.org/10.1007/s12671-013-0260-4
Jee, S.H., Couderc, J.P., Swanson, D., Gallegos, A., Hilliard, C., Blumkin, A., ... & Heinert, S. (2015). A pilot randomized trial teaching mindfulness-based stress reduction to traumatized youth in foster care. //Complementary Therapies in Clinical Practice, 21//(3), 201-209. https://doi.org/10.1016/j.ctcp.2015.06.007
Choudhury, S., & Moses, J.M. (2016). Mindful interventions: Youth, poverty, and the developing brain. //Theory & Psychology, 26//(5), 591-606. https://doi.org/10.1177/0959354316669025
Weinrich, S.P., Bormann, J.E., Glaser, D., Hardin, S., Barger, M., Lizarraga, C., ... & Allard, C.B. (2016). Mantram repetition with homeless women a pilot study. //Holistic Nursing Practice, 30//(6), 360-367. https://doi.org/10.1097/HNP.0000000000000138
Zack, S., Saekow, J., Kelly, M., & Radke, A. (2014). Mindfulness based interventions for youth. //Journal of Rational-emotive and Cognitive-behavior Therapy, 32//(1), 44-56. https://doi.org/10.1007/s10942-014-0179-2
Himelstein, S., Saul, S., & Garcia-Romeu, A. (2015). Does mindfulness meditation increase effectiveness of substance abuse treatment with incarcerated youth? a pilot randomized controlled trial. //Mindfulness, 6//(6), NA-1480. https://doi.org/10.1007/s12671-015-0431-6
Gould, L.F., Dariotis, J.K., Mendelson, T., & Greenberg, M.T. (2012). A school-based mindfulness intervention for urban youth: Exploring moderators of intervention effects. //Journal of Community Psychology, 40//(8), 968-982. https://doi.org/10.1002/jcop.21505
Marusak, H.A., Elrahal, F., Peters, C.A., Kundu, P., Lombardo, M.V., Calhoun, V.D., ... & Rabinak, C.A. (2018). Mindfulness and dynamic functional neural connectivity in children and adolescents. //Behavioural Brain Research, 336//, 211-218. https://doi.org/10.1016/j.bbr.2017.09.010
Sibinga, E.M.S., Kerrigan, D., Stewart, M., Johnson, K., Magyari, T., & Ellen, J.M. (2011). Mindfulness-based stress reduction for urban youth. //Journal of Alternative and Complementary Medicine, 17//(3), 213-218. https://doi.org/10.1089/acm.2009.0605
Daigneault, I., Dion, J., Hebert, M., McDuff, P., & Collin-Vezina, D. (2013). Psychometric properties of the Child and Youth Resilience Measure (CYRM-28) among samples of French Canadian youth. //Child Abuse & Neglect, 37//(42769), 160-171. https://doi.org/10.1016/j.chiabu.2012.06.004
Cotton, S., Luberto, C.M., Sears, R.W., Strawn, J.R., Stahl, L., Wasson, R.S., ... & Delbello, M.P. (2016). Mindfulness-based cognitive therapy for youth with anxiety disorders at risk for bipolar disorder: A pilot trial. //Early Intervention in Psychiatry, 10//(5), 426-434. https://doi.org/10.1111/eip.12216
Fischer, T.D., Smout, M.F., & Delfabbro, P.H. (2016). The relationship between psychological flexibility, early maladaptive schemas, perceived parenting and psychopathology. //Journal of Contextual Behavioral Science, 5//(3), 169-177. https://doi.org/10.1016/j.jcbs.2016.06.002
Heifetz, M., & Dyson, A. (2017). Mindfulness-based group for teens with developmental disabilities and their parents: A pilot study. //Mindfulness, 8//(2), 444-453. https://doi.org/10.1007/s12671-016-0616-7
Himelstein, S., Hastings, A., Shapiro, S., & Heery, M. (2012). A qualitative investigation of the experience of a mindfulness-based intervention with incarcerated adolescents. //Child and Adolescent Mental Health, 17//(4), 231-237. https://doi.org/10.1111/j.1475-3588.2011.00647.x
Sibinga, E.M.S., Perry-Parrish, C., Chung, S.E., Johnson, S.B., Smith, M., & Ellen, J.M. (2013). School-based mindfulness instruction for urban male youth: A small randomized controlled trial. //Preventive Medicine, 57//(6), 799-801. https://doi.org/10.1016/j.ypmed.2013.08.027
Strawn, J.R., Cotton, S., Luberto, C.M., Patino, L.R., Stahl, L.A., Weber, W.A., ... & DelBello, M.P. (2016). Neural function before and after mindfulness-based cognitive therapy in anxious adolescents at risk for developing bipolar disorder. //Journal of Child and Adolescent Psychopharmacology, 26//(4), 372-379. https://doi.org/10.1089/cap.2015.0054
Stein, L.A.R., Lebeau, R., Colby, S.M., Barnett, N.P., Golembeske, C., & Monti, P.M. (2011). Motivational interviewing for incarcerated adolescents: Effects of depressive symptoms on reducing alcohol and marijuana use after release. //Journal of Studies on Alcohol and Drugs, 72//(3), 497-506.
Eller, L.S., Rivero-Mendez, M., Voss, J., Chen, W.T., Chaiphibalsarisdi, P., Iipinge, S., ... & Brion, J.M. (2014). Depressive symptoms, self-esteem, HIV symptom management self-efficacy and self-compassion in people living with HIV. //AIDS Care-Psychological and Socio-medical Aspects of AIDS/HIV, 26//(7), 795-803. https://doi.org/10.1080/09540121.2013.841842
Bussing, A., Warode, M., Gerundt, M., & Dienberg, T. (2017). Validation of a novel instrument to measure elements of Franciscan-inspired spirituality in a general population and in religious persons. //Religions, 8//(9). https://doi.org/10.3390/rel8090197
Eklund, K., O'Malley, M., & Meyer, L. (2017). Gauging mindfulness in children and youth: School-based applications. //Psychology in the Schools, 54//(1), 101-114. https://doi.org/10.1002/pits.21983
Coatsworth, J.D., Duncan, L.G., Nix, R.L., Greenberg, M.T., Gayles, J.G., Bamberger, K.T., ... & Demi, M.A. (2015). Integrating mindfulness with parent training: Effects of the mindfulness-enhanced strengthening families program. //Developmental Psychology, 51//(1), 26-35. https://doi.org/10.1037/a0038212
Greenberg, M.T., & Harris, A.R. (2012). Nurturing mindfulness in children and youth: Current state of research. //Child Development perspectives, 6//(2), 161-166. https://doi.org/10.1111/j.1750-8606.2011.00215.x
Mueller, M.P. (2015). Alaskan salmon and Gen R: Hunting, fishing to cultivate ecological mindfulness. //Cultural Studies of Science Education, 10//(1), 109-119. https://doi.org/10.1007/s11422-014-9645-5
Dariotis, J.K., Mirabal-Beltran, R., Cluxton-Keller, F., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2016). A qualitative evaluation of student learning and skills use in a school-based mindfulness and yoga program. //Mindfulness, 7//(1), 76-89. https://doi.org/10.1007/s12671-015-0463-y
Rodgers, R.F., Franko, D.L., Donovan, E., Cousineau, T., Yates, K., McGowan, K., ... & Lowy, A.S. (2017). Body image in emerging adults: The protective role of self-compassion. //Body Image, 22//, 148-155. https://doi.org/10.1016/j.bodyim.2017.07.003
Sibinga, E.M.S., Perry-Parrish, C., Thorpe, K., Mika, M., & Ellen, J.M. (2014). A small mixed-method RCT of mindfulness instruction for urban youth. //Explore: The Journal of Science and Healing, 10//(3), 180-186. https://doi.org/10.1016/j.explore.2014.02.006
Felver, J.C., Tipsord, J.M., Morris, M.J., Racer, K.H., & Dishion, T.J. (2017). The effects of mindfulness-based intervention on children's attention regulation. //Journal of Attention Disorders, 21//(10), 872-881. https://doi.org/10.1177/1087054714548032
Hart-Johnson, A.M. (2017). Gaining access to socially stigmatized samples. //Qualitative Report, 22//(6), 1550-1564. https://nsuworks.nova.edu/tqr/vol22/iss6/5/
Alhusen, J.L., Norris-Shortle, C., Cosgrove, K., & Marks, L. (2017). I'm opening my arms rather than pushing away: Perceived benefits of a mindfulness-based intervention among homeless women and young children. //Infant Mental Health Journal, 38//(3), 434-442. https://doi.org/10.1002/imhj.21641
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
Townshend, K. (2016). Conceptualizing the key processes of mindful parenting and its application to youth mental health. //Australasian Psychiatry, 24//(6), 575-577. https://doi.org/10.1177/1039856216654392
Oliver, J.E., McLachlan, K., Jose, P.E., & Peters, E. (2012). Predicting changes in delusional ideation: The role of mindfulness and negative schemas. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(3), 243-259. https://doi.org/10.1111/j.2044-8341.2011.02025.x
Muris, P., Meesters, C., Herings, A., Jansen, M., Vossen, C., & Kersten, P. (2017). Inflexible youngsters: Psychological and psychopathological correlates of the Avoidance and Fusion Questionnaire for youths in nonclinical Dutch adolescents. //Mindfulness, 8//(5), 1381-1392. https://doi.org/10.1007/s12671-017-0714-1
Wehry, A.M., Beesdo-Baum, K., Hennelly, M.M., Connolly, S.D., & Strawn, J.R. (2015). Assessment and treatment of anxiety disorders in children and adolescents. //Current Psychiatry Reports, 17//(7). https://doi.org/10.1007/s11920-015-0591-z
Parent, J., Mckee, L.G., Rough, J.N., & Forehand, R. (2016). The association of parent mindfulness with parenting and youth psychopathology across three developmental stages. //Journal of Abnormal Child Psychology, 44//(1), 191-202. https://doi.org/10.1007/s10802-015-9978-x
Wisner, B.L., & Starzec, J.J. (2016). The process of personal transformation for adolescents practicing mindfulness skills in an alternative school setting. //Child and Adolescent Social Work Journal, 33//(3), 245-257. https://doi.org/10.1007/s10560-015-0418-0
Chambers, R., Gullone, E., Hassed, C., Knight, W., Garvin, T., & Allen, N. (2015). Mindful emotion regulation predicts recovery in depressed youth. //Mindfulness, 6//(3), 523-534. https://doi.org/10.1007/s12671-014-0284-4
Hilt, L.M., & Pollak, S.D. (2012). Getting out of rumination: Comparison of three brief interventions in a sample of youth. //Journal of Abnormal Child Psychology, 40//(7), 1157-1165. https://doi.org/10.1007/s10802-012-9638-3
Klingbeil, D.A., Renshaw, T.L., Willenbrink, J.B., Copek, R.A., Chan, K.T., Haddock, A., ... & Clifton, J. (2017). Mindfulness-based interventions with youth: A comprehensive meta-analysis of group-design studies. //Journal of School Psychology, 63//, 77-103. https://doi.org/10.1016/j.jsp.2017.03.006
[img[tps10.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Oken, B.S., Fonareva, I., Haas, M., Wahbeh, H., Lane, J.B., Zajdel, D., ... & Amen, A. (2010). Pilot controlled trial of mindfulness meditation and education for dementia caregivers. //Journal of Alternative and Complementary Medicine, 16//(10), 1031-1038. https://doi.org/10.1089/acm.2009.0733
Jain, F.A., Nazarian, N., & Lavretsky, H. (2014). Feasibility of central meditation and imagery therapy for dementia caregivers. //International Journal of Geriatric Psychiatry, 29//(8), 870-876. https://doi.org/10.1002/gps.4076
Linacre, S., Green, J., & Sharma, V. (2016). A pilot study with adaptations to the Maudsley Method approach on workshops for carers of people with eating disorders. //Mental Health Review Journal, 21//(4), 295-307. https://doi.org/10.1108/MHRJ-05-2016-0010
Bajaj, J.S., Ellwood, M., Ainger, T., Burroughs, T., Fagan, A., Gavis, E.A., ... & Wade, J.B. (2017). Mindfulness-based stress reduction therapy improves patient and caregiver-reported outcomes in cirrhosis. //Clinical and Translational Gastroenterology, 8//. https://doi.org/10.1038/ctg.2017.38
Shaffer, K.M., Riklin, E., Jacobs, J.M., Rosand, J., & Vranceanu, A.M. (2016). Mindfulness and coping are inversely related to psychiatric symptoms in patients and informal caregivers in the neuroscience ICU: Implications for clinical care. //Critical Care Medicine, 44//(11), 2028-2036. https://doi.org/10.1097/CCM.0000000000001855
Fonareva, I., Amen, A.M., Ellingson, R.M., & Oken, B.S. (2012). Differences in stress-related ratings between research center and home environments in dementia caregivers using ecological momentary assessment. //International Psychogeriatrics, 24//(1), 90-98. https://doi.org/10.1017/S1041610211001414
Shaffer, K.M., Riklin, E., Jacobs, J.M., Rosand, J., & Vranceanu, A.M. (2016). Psychosocial resiliency is associated with lower emotional distress among dyads of patients and their informal caregivers in the neuroscience intensive care unit. //Journal of Critical Care, 36//, 154-159. https://doi.org/10.1016/j.jcrc.2016.07.010
Whitebird, R.R., Kreitzer, M., Crain, A.L., Lewis, B.A., Hanson, L.R., & Enstad, C.J. (2013). Mindfulness-based stress reduction for family caregivers: A randomized controlled trial. //Gerontologist, 53//(4), 676-686. https://doi.org/10.1093/geront/gns126
Oken, B.S., Fonareva, I., & Wahbeh, H. (2011). Stress-related cognitive dysfunction in dementia caregivers. //Journal of Geriatric Psychiatry and Neurology, 24//(4), 191-198. https://doi.org/10.1177/0891988711422524
Ho, L., Bloom, P.A., Vega, J.G., Yemul, S., Zhao, W., Ward, L., ... & Pasinetti, G.M. (2016). Biomarkers of resilience in stress reduction for caregivers of Alzheimer's patients. //Neuromolecular Medicine, 18//(2), 177-189. https://doi.org/10.1007/s12017-016-8388-8
Marzuq, N., & Drach-Zahavy, A. (2012). Recovery during a short period of respite: The interactive roles of mindfulness and respite experiences. //Work and Stress, 26//(2), 175-194. https://doi.org/10.1080/02678373.2012.683574
Stockle, H.S., Haarmann-Doetkotte, S., Bausewein, C., & Fegg, M.J. (2016). The feasibility and acceptability of short-term, individual existential behavioural therapy for informal caregivers of patients recruited in a specialist palliative care unit. //BMC Palliative Care, 15//. https://doi.org/10.1186/s12904-016-0160-1
Hurley, R.V.C., Patterson, T.G., & Cooley, S.J. (2014). Meditation-based interventions for family caregivers of people with dementia: A review of the empirical literature. //Aging & Mental Health, 18//(3), 281-288. https://doi.org/10.1080/13607863.2013.837145
Marconi, A., Gragnano, G., Lunetta, C., Gatto, R., Fabiani, V., Tagliaferri, A., ... & Pagnini, F. (2016). The experience of meditation for people with amyotrophic lateral sclerosis and their caregivers - a qualitative analysis. //Psychology Health & Medicine, 21//(6). https://doi.org/10.1080/13548506.2015.1115110
Kogler, M., Brandstatter, M., Borasio, G.D., Fensterer, V., Kuchenhoff, H., & Fegg, M.J. (2015). Mindfulness in informal caregivers of palliative patients. //Palliative & Supportive Care, 13//(1), 11-18. https://doi.org/10.1017/S1478951513000400
Kogler, M., Brandl, J., Brandstatter, M., Borasio, G.D., & Fegg, M.J. (2013). Determinants of the effect of existential behavioral therapy for bereaved partners: A qualitative study. //Journal of Palliative Medicine, 16//(11), 1410-1416. https://doi.org/10.1089/jpm.2013.0050
Whitebird, R.R., Kreitzer, M.J., Lewis, B.A., Hanson, L.R., Crain, A.L., Enstad, C.J., ... & Mehta, A. (2011). Recruiting and retaining family caregivers to a randomized controlled trial on mindfulness-based stress reduction. //Contemporary Clinical Trials, 32//(5), 654-661. https://doi.org/10.1016/j.cct.2011.05.002
Jansen, J.E., Haahr, U.H., Lyse, H.G., Pedersen, M.B., Trauelsen, A.M., & Simonsen, E. (2017). Psychological flexibility as a buffer against caregiver distress in families with psychosis. //Frontiers in Psychology, 8//,1625. https://doi.org/10.3389/fpsyg.2017.01625
Pagnini, F., Phillips, D., Bosma, C.M., Reece, A., & Langer, E. (2016). Mindfulness as a protective factor for the burden of caregivers of amyotrophic lateral sclerosis patients. //Journal of Clinical Psychology, 72//(1), 101-111. https://doi.org/10.1002/jclp.22235
Carletto, S., Borghi, M., Francone, D., Scavelli, F., Bertino, G., Cavallo, M., ... & Ostacoli, L. (2016). The efficacy of a mindfulness based intervention for depressive symptoms in patients with multiple sclerosis and their caregivers: Study protocol for a randomized controlled clinical trial. //BMC Neurology, 16//. https://doi.org/10.1186/s12883-016-0528-0
Cavalera, C., Pagnini, F., Rovaris, M., Mendozzi, L., Pugnetti, L., Garegnani, M., ... & Molinari, E. (2016). A telemedicine meditation intervention for people with multiple sclerosis and their caregivers: Study protocol for a randomized controlled trial. //Trials, 17//. https://doi.org/10.1186/s13063-015-1136-9
Lavretsky, H., Epel, E.S., Siddarth, P., Nazarian, N., St Cyr, N., Khalsa, D.S., ... & Irwin, M.R. (2013). A pilot study of yogic meditation for family dementia caregivers with depressive symptoms: Effects on mental health, cognition, and telomerase activity. //International Journal of Geriatric Psychiatry, 28//(1), 57-65. https://doi.org/10.1002/gps.3790
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Wahler, R.G., Singh, J., & Sage, M. (2004). Mindful caregiving increases happiness among individuals with profound multiple disabilities. //Research in Developmental Disabilities, 25//(2), 207-218. https://doi.org/10.1016/j.ridd.2003.05.001
Minor, H.G., Carlson, L.E., Mackenzie, M.J., Zernicke, K., & Jones, L. (2006). Evaluation of a mindfulness-based stress reduction (MBSR) program for caregivers of children with chronic, conditions. //Social Work in health care, 43//(1), 91-109. https://doi.org/10.1300/J010v43n01_06
Burnside, L.D., Knecht, M.J., Hopley, E.K., & Logsdon, R.G. (2017). //here:now// - Conceptual model of the impact of an experiential arts program on persons with dementia and their care partners. //Dementia: The International Journal of Social Research and Practice, 16//(1), 29-45. https://doi.org/10.1177/1471301215577220
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Singh, A.N., Adkins, A.D., ... & Wahler, R.G. (2010). Training in mindful caregiving transfers to parent-child interactions. //Journal of Child and Family Studies, 19//(2), 167-174. https://doi.org/10.1007/s10826-009-9267-9
Brown, K.W., Coogle, C.L., & Wegelin, J. (2016). A pilot randomized controlled trial of mindfulness-based stress reduction for caregivers of family members with dementia. //Aging & Mental Health, 20//(11), 1157-1166. https://doi.org/10.1080/13607863.2015.1065790
Singh, N.N., Lancioni, G.E., Karazsia, B.T., & Myers, R.E. (2016). Caregiver training in mindfulness-based positive behavior supports (MBPBS): Effects on caregivers and adults with intellectual and developmental disabilities. //Frontiers in Psychology, 7//,98. https://doi.org/10.3389/fpsyg.2016.00098
Waelde, L.C., Thompson, L., & Gallagher-Thompson, D. (2004). A pilot study of a yoga and meditation intervention for dementia caregiver stress. //Journal of Clinical Psychology, 60//(6), 677-687. https://doi.org/10.1002/jclp.10259
Dauenhauer, J.A. (2006). Mindfulness theory and professional family caregivers in long-term care facilities. //Journal of Aging Studies, 20//(4), 351-365. https://doi.org/10.1016/j.jaging.2005.11.003
Falb, M.D., & Pargament, K.I. (2013). Buddhist coping predicts psychological outcomes among end-of-life caregivers. //Psychology of Religion and Spirituality, 5//(4), 252-262. https://doi.org/10.1037/a0032653
Chan, J., Clarke, A.C., Royan, L., Stott, J., & Spector, A. (2017). A mindfulness program manual for people with dementia. //Behavior Modification, 41//(6), 764-787. https://doi.org/10.1177/0145445517715872
Pagnini, F., Phillips, D., Bosma, C.M., Reece, A., & Langer, E. (2015). Mindfulness, physical impairment and psychological well-being in people with amyotrophic lateral sclerosis. //Psychology & Health, 30//(5), 503-517. https://doi.org/10.1080/08870446.2014.982652
Stonnington, C.M., Darby, B., Santucci, A., Mulligan, P., Pathuis, P., Cuc, A., ... & Sood, A. (2016). A resilience intervention involving mindfulness training for transplant patients and their caregivers. //Clinical Transplantation, 30//(11), 1466-1472. https://doi.org/10.1111/ctr.12841
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Chan, J., & Winton, A.S.W. (2016). Effectiveness of caregiver training in mindfulness-based positive behavior support (MBPBS) vs. training-as-usual (TAU): A randomized controlled trial. //Frontiers in Psychology, 7//,1549. https://doi.org/10.3389/fpsyg.2016.01549
Jones, S.B.W., Whitford, H.S., & Bond, M.J. (2015). Burden on informal caregivers of elderly cancer survivors: Risk versus resilience. //Journal of Psychosocial Oncology, 33//(2), 178-198. https://doi.org/10.1080/07347332.2014.1002657
Wood, A.W., Gonzalez, J., & Barden, S.M. (2015). Mindful caring: Using mindfulness-based cognitive therapy with caregivers of cancer survivors. //Journal of Psychosocial Oncology, 33//(1), 66-84. https://doi.org/10.1080/07347332.2014.977418
Hou, R.J., Wong, S.Y.S., Yip, B.H.K., Hung, A.T.F., Lo, H.H.M., Chan, P.H.S., ... & Ma, S.H. (2014). The effects of mindfulness-based stress reduction program on the mental health of family caregivers: A randomized controlled trial. //Psychotherapy and Psychosomatics, 83//(1), 45-53. https://doi.org/10.1159/000353278
Lind, A.B., Delmar, C., & Nielsen, K. (2014). Searching for existential security: A prospective qualitative study on the influence of mindfulness therapy on experienced stress and coping strategies among patients with somatoform disorders. //Journal of Psychosomatic Research, 77//(6), 516-521. https://doi.org/10.1016/j.jpsychores.2014.07.015
Hoogerwerf, A.E.W., Bol, Y., Lobbestael, J., Hupperts, R., & van Heugten, C.M. (2017). Mindfulness-based cognitive therapy for severely fatigued multiple sclerosis patients: A waiting list controlled study. //Journal of Rehabilitation Medicine, 49//(6), 497-504. https://doi.org/10.2340/16501977-2237
Pfaff, K.A., Freeman-Gibb, L., Patrick, L.J., DiBiase, R., & Moretti, O. (2017). Reducing the "cost of caring" in cancer care: Evaluation of a pilot interprofessional compassion fatigue resiliency programme. //Journal of Interprofessional Care, 31//(4), 512-519. https://doi.org/10.1080/13561820.2017.1309364
Ruiz-Robledillo, N., Sarinana-Gonzalez, P., Perez-Blasco, J., Gonzalez-Bono, E., & Moya-Albiol, L. (2015). A mindfulness-based program improves health in caregivers of people with autism spectrum disorder: A pilot study. Mindfulness, 6//(4), 767-777. https://doi.org/10.1007/s12671-014-0316-0
[img[tps100.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Werner, A., Uldbjerg, N., Zachariae, R., & Nohr, E.A. (2013). Effect of self-hypnosis on duration of labor and maternal and neonatal outcomes: A randomized controlled trial. //Acta Obstetricia Et Gynecologica Scandinavica, 92//(7), 816-823. https://doi.org/10.1111/aogs.12141
Saxton, A., Fahy, K., & Hastie, C. (2016). Pronurturance Plus at birth: A risk reduction strategy for preventing postpartum haemorrhage. //Women and Birth, 29//(3), 279-284. https://doi.org/10.1016/j.wombi.2015.11.007
Fisher, C., Hauck, Y., Bayes, S., & Byrne, J. (2012). Participant experiences of mindfulness-based childbirth education: A qualitative study. //BMC Pregnancy and Childbirth, 12//, 126. https://doi.org/10.1186/1471-2393-12-126
Werner, A., Uldbjerg, N., Zachariae, R., Wu, C.S., & Nohr, E.A. (2013). Antenatal hypnosis training and childbirth experience: A randomized controlled trial. //Birth-issues in Perinatal Care, 40//(4), 272-280. https://doi.org/10.1111/birt.12071
Duncan, L.G., Cohn, M.A., Chao, M.T., Cook, J.G., Riccobono, J., & Bardacke, N. (2017). Benefits of preparing for childbirth with mindfulness training: A randomized controlled trial with active comparison. //BMC Pregnancy and Childbirth, 17//, 140. https://doi.org/10.1186/s12884-017-1319-3
Byrne, J., Hauck, Y., Fisher, C., Bayes, S., & Schutze, R. (2014). Effectiveness of a mindfulness-based childbirth education pilot study on maternal self-efficacy and fear of childbirth. //Journal of Midwifery & Women’s Health, 59//(2), 192-197. https://doi.org/10.1111/jmwh.12075
Werner, A., Uldbjerg, N., Zachariae, R., Rosen, G., & Nohr, E.A. (2013). Self-hypnosis for coping with labour pain: A randomised controlled trial. //BIOG-An International Journal of Obstetrics and Gynaecology, 120//(3), 346-353. https://doi.org/10.1111/1471-0528.12087
Veringa, I.K., de Bruin, E.I., Bardacke, N., Duncan, L.G., van Steensel, F.J.A., Dirksen, C.D., ... & Bogels, S.M. (2016). 'I've changed my mind', mindfulness-based childbirth and parenting (MBCP) for pregnant women with a high level of fear of childbirth and their partners: Study protocol of the quasi-experimental controlled trial. //BMC Psychiatry, 16//, 377. https://doi.org/10.1186/s12888-016-1070-8
Congdon, J.L., Adler, N.E., Epel, E.S., Laraia, B.A., & Bush, N.R. (2016). A prospective investigation of prenatal mood and childbirth perceptions in an ethnically diverse, low-income sample. //Birth-issues in Perinatal Care, 43//(2), 159-166. https://doi.org/10.1111/birt.12221
Jensen, M.P., Jamieson, G.A., Lutz, A., Mazzoni, G., McGeown, W.J., Santarcangelo, E.L., ... & Terhune, D.B. (2017). New directions in hypnosis research: Strategies for advancing the cognitive and clinical neuroscience of hypnosis. //Neuroscience of Consciousness, 2007//(1), nix004. https://doi.org/10.1093/nc/nix004
Whitburn, L.Y., Jones, L.E., Davey, M.A., & Small, R. (2014). Women's experiences of labour pain and the role of the mind: An exploratory study. //Midwifery, 30//(9), 1029-1035. https://doi.org/10.1016/j.midw.2014.04.005
Goodin, B.R., Quinn, N.B., Kronfli, T., King, C.D., Page, G.G., Haythornthwaite, J.A., ... & McGuire, L. (2012). Experimental pain ratings and reactivity of cortisol and soluble tumor necrosis factor-alpha receptor ii following a trial of hypnosis: Results of a randomized controlled pilot study. //Pain Medicine, 13//(1), 29-44. https://doi.org/10.1111/j.1526-4637.2011.01293.x
Holroyd, J. (2003). The science of meditation and the state of hypnosis. //American Journal of Clinical Hypnosis, 46//(2), 109-128. https://doi.org/10.1080/00029157.2003.10403582
Saxbe, D.E. (2017). Birth of a new perspective? A call for biopsychosocial research on childbirth. //Current Directions in Psychological Science, 26//(1), 81-86. https://doi.org/10.1177/0963721416677096
Duncan, L.G., & Bardacke, N. (2010). Mindfulness-based childbirth and parenting education: Promoting family mindfulness during the perinatal period. //Journal of Child and Family Studies, 19//(2), 190-202. https://doi.org/10.1007/s10826-009-9313-7
Gueldner, B.A., & Feuerborn, L.L. (2016). Integrating mindfulness-based practices into social and emotional learning: A case application. //Mindfulness, 7//(1), 164-175. https://doi.org/10.1007/s12671-015-0423-6
Ashar, Y.K., Andrews-Hanna, J.R., Yarkoni, T., Sills, J., Halifax, J., Dimidjian, S., ... & Wager, T.D. (2016). Effects of compassion meditation on a psychological model of charitable donation. //Emotion, 16//(5), 691-705. https://doi.org/10.1037/emo0000119
Tebbet, M., & Kennedy, P. (2012). The experience of childbirth for women with spinal cord injuries: An interpretative phenomenology analysis study. //Disability and Rehabilitation, 34//(9), 762-769. https://doi.org/10.3109/09638288.2011.619619
Adachi, T., Nakae, A., & Sasaki, J. (2016). Effects of a hypnotic induction and an unpleasantness-focused analgesia suggestion on pain catastrophizing to an experimental heat stimulus: A preliminary study. //International Journal of Clinical and Experimental Hypnosis, 64//(4), 434-455. https://doi.org/10.1080/00207144.2016.1209039
[img[tps101.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Scott, J.H., Yap, K., Francis, A.J.P., & Schuster, S. (2014). Perfectionism and its relationship with anticipatory processing in social anxiety. //Australian Journal of Psychology, 66//(3), 187-196. https://doi.org/10.1111/ajpy.12045
Fernie, B.A., Bharucha, Z., Nikcevic, A.V., & Spada, M.M. (2017). The unintentional procrastination scale. //Journal of Rational-Emotive & Cognitive-Behavior Therapy, 35//(2), 136-149. https://doi.org/10.1007/s10942-016-0247-x
Lipnevich, A.A., McCallen, L.N., Miles, K.P., & Smith, J.K. (2014). Mind the gap! Students' use of exemplars and detailed rubrics as formative assessment. //Instructional Science, 42//(4), 539-559. https://doi.org/10.1007/s11251-013-9299-9
McDonald, D., Boddy, J., O'Callaghan, K., & Chester, P. (2015). Ethical professional writing in social work and human services. //Ethics & Social Welfare, 9//(4), 359-374. https://doi.org/10.1080/17496535.2015.1009481
Hicdurmaz, D., & Aydin, A. (2017). The relationship between nursing students' self-compassion and multidimensional perfectionism levels and the factors that influence them. //Journal of Psychiatric Nursing, 8//(2), 86-94. https://doi.org/10.14744/phd.2017.40469
Wong, C.C.Y., & Mak, W.W.S. (2016). Writing can heal: Effects of self-compassion writing among Hong Kong Chinese college students. //Asian American Journal of Psychology, 7//(1), 74-82. https://doi.org/10.1037/aap0000041
Flett, A.L., Haghbin, M., & Pychyl, T.A. (2016). Procrastination and depression from a cognitive perspective: An exploration of the associations among procrastinatory automatic thoughts, rumination, and mindfulness. //Journal of Rational-Emotive and Cognitive-Behavior Therapy, 34//(3), 169-186. https://doi.org/10.1007/s10942-016-0235-1
Short, M.M., & Mazmanian, D. (2013). Perfectionism and negative repetitive thoughts: Examining a multiple mediator model in relation to mindfulness. //Personality and Individual Differences, 55//(6), 716-721. https://doi.org/10.1016/j.paid.2013.05.026
Sirois, F.M., & Tosti, N. (2012). Lost in the moment? An investigation of procrastination, mindfulness, and well-being. //Journal of Rational-Emotive and Cognitive-Behavior Therapy, 30//(4), 237-248. https://doi.org/10.1007/s10942-012-0151-y
Berkovich-Ohana, A., & Wittmann, M. (2017). A typology of altered states according to the consciousness state space (CSS) model a special reference to subjective time. //Journal of Consciousness Studies, 24//(3-4), 37-61.
Baum, E.S., & Rude, S.S. (2013). Acceptance-enhanced expressive writing prevents symptoms in participants with low initial depression. //Cognitive Therapy and Research, 37//(1), 35-42. https://doi.org/10.1007/s10608-012-9435-x
Sirois, F.M. (2014). Procrastination and stress: Exploring the role of self-compassion. //Self and Identity, 13//(2), 128-145. https://doi.org/10.1080/15298868.2013.763404
Hudd, S.S., Smart, R.A., & Delohery, A.W. (2011). My understanding has grown, my perspective has switched: Linking informal writing to learning goals. //Teaching Sociology, 39//(2), 179-189. https://doi.org/10.1177/0092055X11401563
Wong, Q.J.J. (2016). Anticipatory processing and post-event processing in social anxiety disorder: An update on the literature. //Australian Psychologist, 51//(2), 105-113. https://doi.org/10.1111/ap.12189
Hinterman, C., Burns, L., Hopwood, D., & Rogers, W. (2012). Mindfulness: Seeking a more perfect approach to coping with life's challenges. //Mindfulness, 3//(4), 275-281. https://doi.org/10.1007/s12671-012-0091-8
Przezdziecki, A., & Sherman, K.A. (2016). Modifying affective and cognitive responses regarding body image difficulties in breast cancer survivors using a self-compassion-based writing intervention. //Mindfulness, 7//(5), 1142-1155. https://doi.org/10.1007/s12671-016-0557-1
Blom, R., Lu, C.L., & Mgombelo, J. (2015). Mindful pedagogy: Invocating the concept of play beyond the confines of recess. //Paideusis: The Journal of the Canadian Philosophy of Education Society, 22//(2), 38-49.
Argus, G., & Thompson, M. (2008). Perceived social problem solving, perfectionism, and mindful awareness in clinical depression: An exploratory study. //Cognitive Therapy and Research, 32//(6), 745-757. https://doi.org/10.1007/s10608-006-9102-1
Poon, A., & Danoff-Burg, S. (2011). Mindfulness as a moderator in expressive writing. //Journal of Clinical Psychology, 67//(9), 881-895. https://doi.org/10.1002/jclp.20810
Glick, D.M., & Orsillo, S.M. (2015). An investigation of the efficacy of acceptance-based behavioral therapy for academic procrastination. //Journal of Experimental Psychology: General, 144//(2), 400-409. https://doi.org/10.1037/xge0000050
James, K., Verplanken, B., & Rimes, K.A. (2015). Self-criticism as a mediator in the relationship between unhealthy perfectionism and distress. //Personality and Individual Differences, 79//, 123-128. https://doi.org/10.1016/j.paid.2015.01.030
Azam, M.A., Katz, J., Fashler, S.R., Changoor, T., Azargive, S., & Ritvo, P. (2015). Heart rate variability is enhanced in controls but not maladaptive perfectionists during brief mindfulness meditation following stress-induction: A stratified-randomized trial. //International Journal of Psychophysiology, 98//(1), 27-34. https://doi.org/10.1016/j.ijpsycho.2015.06.005
Low, C.A., Stanton, A.L., & Bower, J.E. (2008). Effects of acceptance-oriented versus evaluative emotional processing on heart rate recovery and habituation. //Emotion, 8//(3), 419-424. https://doi.org/10.1037/1528-3542.8.3.419
Duru, E., & Balkis, M. (2017). Procrastination, self-esteem, academic performance, and well-being: A moderated mediation model. //International Journal of Educational Psychology, 6//(2), 97-119. https://doi.org/10.17583/ijep.2017.2584
Drozd, F., Raeder, S., Kraft, P., & Bjorkli, C.A. (2013). Multilevel growth curve analyses of treatment effects of a web-based intervention for stress reduction: Randomized controlled trial. //Journal of Medical Internet Research, 15//(4), e84. https://doi.org/10.2196/jmir.2570
Wimberley, T.E., Mintz, L.B., & Suh, H. (2016). Perfectionism and mindfulness: Effectiveness of a bibliotherapy intervention. //Mindfulness, 7//(2), 433-444. https://doi.org/10.1007/s12671-015-0460-1
Montgomery, K., Norman, P., Messenger, A.G., & Thompson, A.R. (2016). The importance of mindfulness in psychosocial distress and quality of life in dermatology patients. //British Journal of Dermatology, 175//(5), 930-936. https://doi.org/10.1111/bjd.14719
Mehr, K.E., & Adams, A.C. (2016). Self-compassion as a mediator of maladaptive perfectionism and depressive symptoms in college students. //Journal of College Student Psychotherapy, 30//(2), 132-145. https://doi.org/10.1080/87568225.2016.1140991
Lidke, J.S. (2016). The potential of the bi-directional gaze: A call for neuroscientific research on the simultaneous activation of the sympathetic and parasympathetic nervous systems through tantric practice. //Religions, 7//(11), 132. https://doi.org/10.3390/rel7110132
Beck, A.R., Verticchio, H., Seeman, S., Milliken, E., & Schaab, H. (2017). A mindfulness practice for communication sciences and disorders undergraduate and speech-language pathology graduate students: Effects on stress, self-compassion, and perfectionism. //American Journal of Speech-language Pathology, 26//(3), 893-907. https://doi.org/10.1044/2017_AJSLP-16-0172
Peary, A. (2016). The role of mindfulness in Kairos. //Rhetoric Review, 35//(1), 22-34. https://doi.org/10.1080/07350198.2016.1107825
Kohls, N., Sauer, S., & Walach, H. (2009). Facets of mindfulness - results of an online study investigating the Freiburg Mindfulness Inventory. //Personality and Individual Differences, 46//(2), 224-230. https://doi.org/10.1016/j.paid.2008.10.009
Schmidt, U., Bone, G., Hems, S., Lessem, J., & Treasure, J. (2002). Structured therapeutic writing tasks as an adjunct to treatment in eating disorders. //European Eating Disorders Review, 10//(5), 299-315. https://doi.org/10.1002/erv.465
Salani, D., Albuja, L.D., & Azaiza, K. (2016). The keys to success in doctoral studies: A preimmersion course. //Journal of Professional Nursing, 32//(5), 358-363. https://doi.org/10.1016/j.profnurs.2016.01.005
[img[tps102.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Lee, T.M.C., Leung, M.K., Hou, W.K., Tang, J.C.Y., Yin, J., So, K.F., ... & Chan, C.C.H. (2012). Distinct neural activity associated with focused-attention meditation and loving-kindness meditation. //PLOS ONE, 7//(8). https://doi.org/10.1371/journal.pone.0040054
Kemper, K.J., Powell, D., Helms, C.C., & Kim-Shapiro, D.B. (2015). Loving-kindness meditation's effects on nitric oxide and perceived well-being: A pilot study in experienced and inexperienced meditators. //Explore: The Journal of Science and Healing, 11//(1), 32-39. https://doi.org/10.1016/j.explore.2014.10.002
Logie, K., & Frewen, P. (2015). Self/other referential processing following mindfulness and loving-kindness meditation. //Mindfulness, 6//(4), 778–787.. https://doi.org/10.1007/s12671-014-0317-z
Boyle, M.P. (2011). Mindfulness training in stuttering therapy: A tutorial for speech-language pathologists. //Journal of Fluency Disorders, 36//(2), 122-129. https://doi.org/10.1016/j.jfludis.2011.04.005
Leung, M.K., Chan, C.C.H., Yin, J., Lee, C.F., So, K.F., & Lee, T.M.C. (2013). Increased gray matter volume in the right angular and posterior parahippocampal gyri in loving-kindness meditators. //Social Cognitive and Affective Neuroscience, 8//(1), 34-39. https://doi.org/10.1093/scan/nss076
Chan, R.W., Immink, M.A., & Lushington, K. (2017). The influence of focused-attention meditation states on the cognitive control of sequence learning. //Consciousness and Cognition, 55//, 11-25. https://doi.org/10.1016/j.concog.2017.07.004
Beilby, J.M., Byrnes, M.L., & Yaruss, J.S. (2012). Acceptance and commitment therapy for adults who stutter: Psychosocial adjustment and speech fluency. //Journal of Fluency Disorders, 37//(4), 289-299. https://doi.org/10.1016/j.jfludis.2012.05.003
Kang, Y., Gray, J.R., & Dovidio, J.F. (2015). The head and the heart: Effects of understanding and experiencing lovingkindness on attitudes toward the self and others. //Mindfulness, 6//(5), 1063-1070. https://doi.org/10.1007/s12671-014-0355-6
Mayer, C.H., Surtee, S., & Visser, D. (2016). Exploring personality traits, mindfulness and sense of coherence of women working in higher education. //SA Journal of Human Resource Management, 14//(1). https://doi.org/10.4102/sajhrm.v14i1.674
Boellinghaus, I., Jones, F.W., & Hutton, J. (2013). Cultivating self-care and compassion in psychological therapists in training: The experience of practicing loving-kindness meditation. //Training and Education in Professional Psychology, 7//(4), 267-277. https://doi.org/10.1037/a0033092
Feliu-Soler, A., Pascual, J.C., Elices, M., Martin-Blanco, A., Carmona, C., Cebolla, A., ... & Soler, J. (2017). Fostering self-compassion and loving-kindness in patients with borderline personality disorder: A randomized pilot study. //Clinical Psychology & Psychotherapy, 24//(1), 278-286. https://doi.org/10.1002/cpp.2000
Akin, A., & Akin, U. (2015). The predictive role of self-compassion on entrapment in Turkish university students. //Universitas Psychologica, 14//(2), 423-431. http://dx.doi.org/10.11144/Javeriana.upsy14-2.prsc
Philippot, P., Vrielynck, N., & Muller, V. (2010). Cognitive Processing specificity of anxious apprehension: Impact on distress and performance during speech exposure. //Behavior Therapy, 41//(4), 575-586. https://doi.org/10.1016/j.beth.2010.04.003
Weissbecker, I., Salmon, P., Studts, J.L., Floyd, A.R., Dedert, E.A., & Sephton, S.E. (2002). Mindfulness-based stress reduction and sense of coherence among women with fibromyalgia. //Journal of Clinical Psychology in medical settings, 9//(4), 297-307. https://doi.org/10.1023/A:1020786917988
May, C.J., Weyker, J.R., Spengel, S.K., Finkler, L.J., & Hendrix, S.E. (2014). Tracking longitudinal changes in affect and mindfulness caused by concentration and loving-kindness meditation with hierarchical linear modeling. //Mindfulness, 5//(3), 249-258. https://doi.org/10.1007/s12671-012-0172-8
Kearney, D.J., Malte, C.A., McManus, C., Martinez, M.E., Felleman, B., & Simpson, T.L. (2013). Loving-kindness meditation for posttraumatic stress disorder: A pilot study. //Journal of Traumatic Stress, 26//(4), 426-434. https://doi.org/10.1002/jts.21832
Moczko, T.R., Bugaj, T.J., Herzog, W., & Nikendei, C. (2016). Perceived stress at transition to workplace: A qualitative interview study exploring final-year medical students' needs. //Advances in Medical Education and Practice, 7//, 15-27. https://doi.org/10.2147/AMEP.S94105
Shonin, E., Van Gordon, W., Compare, A., Zangeneh, M., & Griffiths, M.D. (2015). Buddhist-derived loving-kindness and compassion meditation for the treatment of psychopathology: A systematic review. //Mindfulness, 6//(5), 1161-1180. https://doi.org/10.1007/s12671-014-0368-1
Galla, B.M., Hale, T.S., Shrestha, A., Loo, S.K., & Smalley, S.L. (2012). The disciplined mind: Associations between the kentucky inventory of mindfulness skills and attention control. //Mindfulness, 3//(2), 95-103. https://doi.org/10.1007/s12671-011-0083-0
Keng, S.L., & Tan, J.X. (2017). Effects of brief mindful breathing and loving-kindness meditation on shame and social problem solving abilities among individuals with high borderline personality traits. //Behaviour Research and Therapy, 97//, 43-51. https://doi.org/10.1016/j.brat.2017.07.004
Mayer, C.H., Viviers, R., Flotman, A.P., & Schneider-Stengel, D. (2016). Enhancing sense of coherence and mindfulness in an ecclesiastical, intercultural group training context. //Journal of Religion & Health, 55//(6), 2023-2038. https://doi.org/10.1007/s10943-016-0301-0
Hinton, D.E., Ojserkis, R.A., Jalal, B., Peou, S., & Hofmann, S.G. (2013). Loving-kindness in the treatment of traumatized refugees and minority groups: A typology of mindfulness and the nodal network model of affect and affect regulation. //Journal of Clinical Psychology, 69//(8), 817-828. https://doi.org/10.1002/jclp.22017
Salzberg, S. (2011). Mindfulness and loving-kindness. //Contemporary Buddhism, 12//(1), 177-182. https://doi.org/10.1080/14639947.2011.564837
Hofmann, S.G., Petrocchi, N., Steinberg, J., Lin, M.Y., Arimitsu, K., Kind, S., ... & Stangier, U. (2015). Loving-kindness meditation to target affect in mood disorders: A proof-of-concept study. //Evidence-based Complementary and Alternative Medicine, NA//. https://doi.org/10.1155/2015/269126
~~~~Akin, A. (2009). Self-compassion and submissive behavior. //Egitim Ve Bilim-education and Science, 34//(152), 138-147.
Kirby, J.N., & Laczko, D. (2017). A randomized micro-trial of a loving-kindness meditation for young adults living at home with their parents. //Journal of Child and Family Studies, 26//(7), 1888-1899. https://doi.org/10.1007/s10826-017-0692-x
Hoge, E.A., Chen, M.M., Orr, E., Metcalf, C.A., Fischer, L.E., Pollack, M.H., ... & Simon, N.M. (2013). Loving-kindness meditation practice associated with longer telomeres in women. //Brain Behavior and Immunity, 32//, 159-163. https://doi.org/10.1016/j.bbi.2013.04.005
Aspy, D.J., & Proeve, M. (2017). Mindfulness and loving-kindness meditation: Effects on connectedness to humanity and to the natural world. //Psychological Reports, 120//(1), 102-117. https://doi.org/10.1177/0033294116685867
Trautwein, F.M., Naranjo, J.R., & Schmidt, S. (2016). Decentering the self? reduced bias in self- vs. other-related processing in long-term practitioners of loving-kindness meditation. //Frontiers in Psychology, 7//, 1785. https://doi.org/10.3389/fpsyg.2016.01785
Gluck, T.M., Tran, U.S., Raninger, S., & Lueger-Schuster, B. (2016). The influence of sense of coherence and mindfulness on PTSD symptoms and posttraumatic cognitions in a sample of elderly Austrian survivors of World War II. //International Psychogeriatrics, 28//(3), 435-441. https://doi.org/10.1017/S104161021500143X
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Lovingkindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology-general, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
Fernros, L., Furhoff, A.K., & Waendell, P.E. (2008). Improving quality of life using compound mind-body therapies: Evaluation of a course intervention with body movement and breath therapy, guided imagery, chakra experiencing and mindfulness meditation. //Quality of Life Research, 17//(3), 367-376. https://doi.org/10.1007/s11136-008-9321-x
Johnson, D.P., Penn, D.L., Fredrickson, B.L., Meyer, P.S., Kring, A.M., & Brantley, M. (2009). Loving-kindness meditation to enhance recovery from negative symptoms of schizophrenia. //Journal of Clinical Psychology, 65//(5), 499-509. https://doi.org/10.1002/jclp.20591
Lumma, A.L., Kok, B.E., & Singer, T. (2015). Is meditation always relaxing? investigating heart rate, heart rate variability, experienced effort and likeability during training of three types of meditation. //International Journal of Psychophysiology, 97//(1), 38-45. https://doi.org/10.1016/j.ijpsycho.2015.04.017
Feldman, G., Greeson, J., & Senville, J. (2010). Differential effects of mindful breathing, progressive muscle relaxation, and loving-kindness meditation on decentering and negative reactions to repetitive thoughts. //Behaviour Research and Therapy, 48//(10), 1002-1011. https://doi.org/10.1016/j.brat.2010.06.006
Goodrich, E., Wahbeh, H., Mooney, A., Miller, M., & Oken, B.S. (2015). Teaching mindfulness meditation to adults with severe speech and physical impairments: An exploratory study. //Neuropsychological Rehabilitation, 25//(5),708-732. https://doi.org/10.1080/09602011.2014.970201
Luders, E., Clark, K., Narr, K.L., & Toga, A.W. (2011). Enhanced brain connectivity in long-term meditation practitioners. //Neuroimage, 57//(4), 1308-1316. https://doi.org/10.1016/j.neuroimage.2011.05.075
Leppma, M., & Young, M.E. (2016). Loving-kindness meditation and empathy: A wellness group intervention for counseling students. //Journal of Counseling and Development, 94//(3), 297-305. https://doi.org/10.1002/jcad.12086
Levin, M.E., Haeger, J., & Smith, G.S. (2017). Examining the role of implicit emotional judgments in social anxiety and experiential avoidance. //Journal of Psychopathology and Behavioral Assessment, 39//(2), 264-278. https://doi.org/10.1007/s10862-016-9583-5
[img[tps103.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Fiori, F., David, N., & Aglioti, S.M. (2014). Processing of proprioceptive and vestibular body signals and self-transcendence in Ashtanga yoga practitioners. //Frontiers in Human Neuroscience, 8//, 734. https://doi.org/10.3389/fnhum.2014.00734
Lai, C., MacNeil, B., & Frewen, P. (2015). A comparison of the attentional effects of single-session mindfulness meditation and Fp-HEG neurofeedback in novices. //Mindfulness, 6//(5), 1012-1020. https://doi.org/10.1007/s12671-014-0347-6
Lee, M.N., & Kuiken, D. (2015). Continuity of reflective awareness across waking and dreaming states. //Dreaming, 25//(2), 141-159. https://doi.org/10.1037/a0039147
Fischer, D., Messner, M., & Pollatos, O. (2017). Improvement of interoceptive processes after an 8-week body scan intervention. //Frontiers in Human Neuroscience, 11//, 452. https://doi.org/10.3389/fnhum.2017.00452
Garfinkel, S.N., Manassei, M.F., Hamilton-Fletcher, G., den Bosch, Y.I., Critchley, H.D., & Engels, M. (2016). Interoceptive dimensions across cardiac and respiratory axes. //Philosophical Transactions of the Royal Society B: Biological Sciences, 371//(1708), 20160014. https://doi.org/10.1098/rstb.2016.0014
Luders, E., Kurth, F., Mayer, E.A., Toga, A.W., Narr, K.L., & Gaser, C. (2012). The unique brainan atomy of meditation practitioners: Alterations in cortical gyrification. //Frontiers in Human Neuroscience, 6//, 34. https://doi.org/10.3389/fnhum.2012.00034
Frewen, P., Hargraves, H., DePierro, J., D'Andrea, W., & Flodrowski, L. (2016). Meditation breath attention scores (MBAS): Development and investigation of an internet-based assessment of focused attention during meditation practice. //Psychological Assessment, 28//(7), 830-840. https://doi.org/10.1037/pas0000283
d'Alcala, C.R., Webster, D.G., & Esteves, J.E. (2015). Interoception, body awareness and chronic pain: Results from a case-control study. //International Journal of Osteopathic Medicine, 18//(1), 22-32. https://doi.org/10.1016/j.ijosm.2014.08.003
Simor, P., Koteles, F., Sandor, P., Petke, Z., & Bodizs, R. (2011). Mindfulness and dream quality: The inverse relationship between mindfulness and negative dream affect. //Scandinavian Journal of Psychology, 52//(4), 369-375. https://doi.org/10.1111/j.1467-9450.2011.00888.x
Bornemann, B., & Singer, T. (2017). Taking time to feel our body: Steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. //Psychophysiology, 54//(3), 469-482. https://doi.org/10.1111/psyp.12790
Travis, F. (2014). Transcendental experiences during meditation practice. Advances in meditation research: //Annals of the New York Academy of Sciences, 1307//(1), 1-8. https://doi.org/10.1111/nyas.12316
Otten, S., Schotz, E., Wittmann, M., Kohls, N., Schmidt, S., & Meissner, K. (2015). Psychophysiology of duration estimation in experienced mindfulness meditators and matched controls. //Frontiers in Psychology, 6//, 1215. https://doi.org/10.3389/fpsyg.2015.01215
Haase, L., Thom, N.J., Shukla, A., Davenport, P.W., Simmons, A.N., Stanley, E.A., ... & Johnson, D.C. (2016). Mindfulness-based training attenuates insula response to an aversive interoceptive challenge. //Social Cognitive and Affective Neuroscience, 11//(1), 182-190. https://doi.org/10.1093/scan/nsu042
Frewen, P.A., Unholzer, F., Logie-Hagan, K.R.J., & MacKinley, J.D. (2014). Meditation breath attention scores (MBAS): Test-retest reliability and sensitivity to repeated practice. //Mindfulness, 5//(2), 161-169. https://doi.org/10.1007/s12671-012-0161-y
Lackner, R.J., & Fresco, D.M. (2016). Interaction effect of brooding rumination and interoceptive awareness on depression and anxiety symptoms. //Behaviour Research and Therapy, 85//, 43-52. https://doi.org/10.1016/j.brat.2016.08.007
Farb, N., Daubenmier, J., Price, C.J., Gard, T., Kerr, C., Dunn, B.D., ... & Mehling, W.E. (2015). Interoception, contemplative practice, and health. //Frontiers in Psychology, 6//, 763. https://doi.org/10.3389/fpsyg.2015.00763
Daubenmier, J., Sze, J., Kerr, C.E., Kemeny, M.E., & Mehling, W. (2013). Follow your breath: Respiratory interoceptive accuracy in experienced meditators. //Psychophysiology, 50//(8), 777-789. https://doi.org/10.1111/psyp.12057
Duquette, P. (2017). Increasing our insular world view: Interoception and psychopathology for psychotherapists. //Frontiers in Neuroscience, 11//, 135. https://doi.org/10.3389/fnins.2017.00135
Sadlo, G. (2016). Threshold concepts for educating people about human engagement in occupation: The study of human systems that enable occupation. //Journal of Occupational Science, 23//(4), 496-509. https://doi.org/10.1080/14427591.2016.1228098
Melloni, M., Sedeno, L., Couto, B., Reynoso, M., Gelormini, C., Favaloro, R., ... & Ibanez, A. (2013). Preliminary evidence about the effects of meditation on interoceptive sensitivity and social cognition. //Behavioral and Brain Functions, 9//, 47. https://doi.org/10.1186/1744-9081-9-47
Fissler, M., Winnebeck, E., Schroeter, T., Gummersbach, M., Huntenburg, J.M., Gaertner, M., ... & Barnhofer, T. (2016). An investigation of the effects of brief mindfulness training on self-reported interoceptive awareness, the ability to decenter, and their role in the reduction of depressive symptoms. //Mindfulness, 7//(5), 1170-1181. https://doi.org/10.1007/s12671-016-0559-z
Schauder, K.B., Mash, L.E., Bryant, L.K., & Cascio, C.J. (2015). Interoceptive ability and body awareness in autism spectrum disorder. //Journal of Experimental Child Psychology, 131//, 193-200. https://doi.org/10.1016/j.jecp.2014.11.002
Lattimore, P., Mead, B.R., Irwin, L., Grice, L., Carson, R., & Malinowski, P. (2017). 'I can't accept that feeling': Relationships between interoceptive awareness, mindfulness and eating disorder symptoms in females with, and at-risk of an eating disorder. //Psychiatry Research, 247//, 163-171. https://doi.org/10.1016/j.psychres.2016.11.022
Schredl, M., Stumbrys, T., & Erlacher, D. (2016). Dream recall, nightmare frequency, and spirituality. //Dreaming, 26//(1), 1-9. https://doi.org/10.1037/drm0000015
Mirams, L., Poliakoff, E., Brown, R.J., & Lloyd, D.M. (2013). Brief body-scan meditation practice improves somatosensory perceptual decision making. //Consciousness and Cognition, 22//(1), 348-359. https://doi.org/10.1016/j.concog.2012.07.009
Kirk, U., Downar, J., & Montague, P.R. (2011). Interoception drives increased rational decision-making in meditators playing the ultimatum game. //Frontiers in Neuroscience, 5//, 49. https://doi.org/10.3389/fnins.2011.00049
Price, C., & Smith-DiJulio, K. (2016). Interoceptive awareness is important for relapse prevention perceptions of women who received mindful body awareness in substance use disorder treatment. //Journal of Addictions Nursing, 27//(1), 32-38. https://doi.org/10.1097/JAN.0000000000000109
Bornemann, B., Herbert, B.M., Mehling, W.E., & Singer, T. (2015). Differential changes in self-reported aspects of interoceptive awareness through 3 months of contemplative training. //Frontiers in Psychology, 5//, 1504. https://doi.org/10.3389/fpsyg.2014.01504
Parkin, L., Morgan, R., Rosselli, A., Howard, M., Sheppard, A., Evans, D., ... & Dunn, B. (2014). Exploring the relationship between mindfulness and cardiac perception. //Mindfulness, 5//(3), 298-313. https://doi.org/10.1007/s12671-012-0181-7
Villemure, C., Ceko, M., Cotton, V.A., & Bushnell, M.C. (2014). Insular cortex mediates increased pain tolerance in yoga practitioners. //Cerebral Cortex, 24//(10), 2732-2740. https://doi.org/10.1093/cercor/bht124
Farb, N.A.S., Segal, Z.V., & Anderson, A.K. (2013). Mindfulness meditation training alters cortical representations of interoceptive attention. //Social Cognitive and Affective Neuroscience, 8//(1), 15-26. https://doi.org/10.1093/scan/nss066
Galla, B.M. (2016). Within-person changes in mindfulness and self-compassion predict enhanced emotional well-being in healthy, but stressed adolescents. //Journal of Adolescence, 49//, 204-217. https://doi.org/10.1016/j.adolescence.2016.03.016
Delgado-Pastor, L.C., Ciria, L.F., Blanca, B., Mata, J.L., Vera, M.N., & Vila, J. (2015). Dissociation between the cognitive and interoceptive components of mindfulness in the treatment of chronic worry. //Journal of Behavior Therapy and Experimental Psychiatry, 48//, 192-199. https://doi.org/10.1016/j.jbtep.2015.04.001
Travis, F., & Shear, J. (2010). Focused attention, open monitoring and automatic self-transcending: Categories to organize meditations from vedic, Buddhist and Chinese traditions. //Consciousness and Cognition, 19//(4), 1110-1118. https://doi.org/10.1016/j.concog.2010.01.007
Silverstein, R.G., Brown, A.C.H., Roth, H.D., & Britton, W.B. (2011). Effects of mindfulness training on body awareness to sexual stimuli: Implications for female sexual dysfunction. //Psychosomatic Medicine, 73//(9), 817-825. https://doi.org/10.1097/PSY.0b013e318234e628
van Vugt, M.K., & van den Hurk, P.M. (2017). Modeling the effects of attentional cueing on meditators. //Mindfulness, 8//(1), 38-45. https://doi.org/10.1007/s12671-015-0464-x
Hanley, A.W., Mehling, W.E., & Garland, E.L. (2017). Holding the body in mind: Interoceptive awareness, dispositional mindfulness and psychological well-being. //Journal of Psychosomatic Research, 99//, 13-20. https://doi.org/10.1016/j.jpsychores.2017.05.014
Boyer, R.W., & Hensley, P. (2016). Meditation as transcending all thought. //Neuroquantology, 14//(3), 535-543. https://doi.org/10.14704/nq.2016.14.3.922
Felver, J.C., Tipsord, J.M., Morris, M.J., Racer, K.H., & Dishion, T.J. (2017). The effects of mindfulness-based intervention on children's attention regulation. //Journal of Attention Disorders, 21//(10), 872-881. https://doi.org/10.1177/1087054714548032
Tarrasch, R., Margalit-Shalom, L., & Berger, R. (2017). Enhancing visual perception and motor accuracy among school children through a mindfulness and compassion program. //Frontiers in Psychology, 8//, 281. https://doi.org/10.3389/fpsyg.2017.00281
Mehling, W.E., Price, C., Daubenmier, J.J., Acree, M., Bartmess, E., & Stewart, A. (2012). The multidimensional assessment of interoceptive awareness (MAIA). //PLOS ONE, 7//(11), e48230. https://doi.org/10.1371/journal.pone.0048230
[img[tps104.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Lanham, H.J., Leykum, L.K., & McDaniel, R.R. (2012). Same organization, same electronic health records (EHRs) system, different use: Exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting. //Journal of the American Medical Informatics Association, 19//(3), 382-391. https://doi.org/10.1136/amiajnl-2011-000263
Hodge, R. (2016). Adapting a MOOC for research: Lessons learned from the first presentation of literature and mental health: Reading for wellbeing. //Journal of Interactive Media in Education, 2016//(1), 19. https://doi.org/10.5334/jime.428
Kjellgren, A., & Westman, J. (2014). Beneficial effects of treatment with sensory isolation in flotation-tank as a preventive health-care intervention - a randomized controlled pilot trial. //BMC Complementary and Alternative Medicine, 14//, 417. https://doi.org/10.1186/1472-6882-14-417
Sitzman, K.L., Jensen, A., & Chan, S. (2016). Creating a global community of learners in nursing and beyond: Caring science, mindful practice MOOC. //Nursing Education Perspectives, 37//(5), 269-274. https://doi.org/10.1097/01.NEP.0000000000000062
Flaxman, P.E., & Bond, F.W. (2010). Worksite stress management training: Moderated effects and clinical significance. //Journal of Occupational Health Psychology, 15//(4), 347-358. https://doi.org/10.1037/a0020522
Jay, K., Brandt, M., Schraefel, M., Jakobsen, M.D., Sundstrup, E., Sjogaard, G., ... & Andersen, L.L. (2016). Neurocognitive performance and physical function do not change with physical-cognitive-mindfulness training in female laboratory technicians with chronic musculoskeletal pain: Randomized controlled trial. //Medicine, 95//(50), e5554. https://doi.org/10.1097/MD.0000000000005554
Jay, K., Brandt, M., Hansen, K., Sundstrup, E., Jakobsen, M.D., Schraefel, M., ... & Andersen, L.L. (2015). Effect of individually tailored biopsychosocial workplace interventions on chronic musculoskeletal pain and stress among laboratory technicians: Randomized controlled trial. //Pain Physician, 18//(5), 459-471. https://doi.org/10.1186/1471-2474-15-444
Hutton, P., Morrison, A.P., & Taylor, H. (2012). Brief cognitive behavioural therapy for hallucinations: Can it help people who decide not to take antipsychotic medication? A case report. //Behavioural and Cognitive Psychotherapy, 40//(1), 111-116. https://doi.org/10.1017/S135246581100035X
Christie, A.M., Atkins, P.W.B., & Donald, J.N. (2017). The meaning and doing of mindfulness: The role of values in the link between mindfulness and well-being. //Mindfulness, 8//(2), 368-378. https://doi.org/10.1007/s12671-016-0606-9
Jonsson, K., & Kjellgren, A. (2016). Promising effects of treatment with flotation-rest (restricted environmental stimulation technique) as an intervention for generalized anxiety disorder (GAD): A randomized controlled pilot trial. //BMC Complementary and Alternative Medicine, 16//, 108. https://doi.org/10.1186/s12906-016-1089
Klockare, E., Gustafsson, H., Davis, P., & Lundqvist, C. (2015). Track and field athletes' experiences and perceived effects of flotation-rest an interpretative phenomenological analysis. //International Journal of Sport Psychology, 46//(5), 409-428. https://doi.org/10.7352/IJSP.2015.46.409
Sheikhzadeh, E., & Khatami, M. (2017). Critical thinking, mindfulness and academic achievement among Iranian EFL learners. //Modern Journal of Language Teaching Methods, 7//(3), 281-294.
Jay, K., Brandt, M., Sundstrup, E., Schraefel, M.C., Jakobsen, M.D., Sjogaard, G., ... & Andersen, L.L. (2014). Effect of individually tailored biopsychosocial workplace interventions on chronic musculoskeletal pain, stress and work ability among laboratory technicians: Randomized controlled trial protocol. //BMC Musculoskeletal Disorders, 15//, 444. https://doi.org/10.1186/1471-2474-15-444
Schuman-Olivier, Z., Noordsy, D.L., & Brunette, M.F. (2013). Strategies for reducing antipsychotic polypharmacy. //Journal of Dual Diagnosis, 9//(2), 208-218. https://doi.org/10.1080/15504263.2013.778767
van Berkel, J., Boot, C.R.L., Proper, K.I., Bongers, P.M., & van der Beek, A.J. (2014). Effectiveness of a worksite mindfulness-based multi-component intervention on lifestyle behaviors. //International Journal of Behavioral Nutrition and Physical Activity, 11//, 9. https://doi.org/10.1186/1479-5868-11-9
Sheikhzadeh, E., & Khatami, M. (2017). The possible relationship between mindfulness and academic achievement among Iranian EFL learners. //Modern Journal of Language Teaching Methods, 7//(2), 43-48.
Lin, C.Y., Kuo, T.H., Kuo, Y.K., Kuo, Y.L., Ho, L.A., & Lin, C.T. (2007). Practice makes better? A study of meditation learners in a classroom environment. //Educational Studies, 33//(1), 65-80. https://doi.org/10.1080/03055690600948216
Vilardaga, R., Luoma, J.B., Hayes, S.C., Pistorello, J., Levin, M.E., Hildebrandt, M.J., ... & Bond, F. (2011). Burnout among the addiction counseling workforce: The differential roles of mindfulness and values-based processes and work-site factors. //Journal of Substance Abuse Treatment, 40//(4), 323-335. https://doi.org/10.1016/j.jsat.2010.11.015
[img[tps105.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Younge, J.O., Wester, V.L., van Rossum, E.F.C., Gotink, R.A., Wery, M.F., Utens, E.M.W.J., ... & Roos-Hesselink, J.W. (2015). Cortisol levels in scalp hair of patients with structural heart disease. //International Journal of Cardiology, 184//, 71-78. https://doi.org/10.1016/j.ijcard.2015.02.005
Fan, Y.X., Tang, Y.Y., & Posner, M.I. (2014). Cortisol level modulated by integrative meditation in a dose-dependent fashion. //Stress and Health, 30//(1), 65-70. https://doi.org/10.1002/smi.2497
Gex-Fabry, M., Jermann, F., Kosel, M., Rossier, M.F., Van der Linden, M., Bertschy, G., ... & Aubry, J.M. (2012). Salivary cortisol profiles in patients remitted from recurrent depression: One-year follow-up of a mindfulness-based cognitive therapy trial. //Journal of Psychiatric Research, 46//(1), 80-86. https://doi.org/10.1016/j.jpsychires.2011.09.011
Bottaccioli, F., Carosella, A., Cardone, R., Mambelli, M., Cemin, M., D'Errico, M.M., ... & Minelli, A. (2014). Brief training of psychoneuroendocrinoimmunology-based meditation (PNEIMED) reduces stress symptom ratings and improves control on salivary cortisol secretion under basal and stimulated conditions. //Explore: The Journal of Science and Healing, 10//(3), 170-179. https://doi.org/10.1016/j.explore.2014.02.002
Goldberg, S.B., Manley, A.R., Smith, S.S., Greeson, J.M., Russell, E., Van Uum, S., ... & Davis, J.M. (2014). Hair cortisol as a biomarker of stress in mindfulness training for smokers. //Journal of Alternative and Complementary Medicine, 20//(8), 630-634. https://doi.org/10.1089/acm.2014.0080
Lacaille, J., Ly, J., Zacchia, N., Bourkas, S., Glaser, E., & Knauper, B. (2014). The effects of three mindfulness skills on chocolate cravings. //Appetite, 76//, 101-112. https://doi.org/10.1016/j.appet.2014.01.072
Nosen, E., & Woody, S.R. (2013). Brief psycho-education affects circadian variability in nicotine craving during cessation. //Drug and Alcohol Dependence, 132//(1-2), 283-289. https://doi.org/10.1016/j.drugalcdep.2013.02.017
Dodds, S.E., Pace, T.W.W., Bell, M.L., Fiero, M., Negi, L.T., Raison, C.L., ... & Weihs, K.L. (2015). Feasibility of cognitively-based compassion training (CBCT) for breast cancer survivors: A randomized, wait list controlled pilot study. //Supportive Care in Cancer, 23//(12), 3599-3608. https://doi.org/10.1007/s00520-015-2888-1
Bergen-Cico, D., Possemato, K., & Pigeon, W. (2014). Reductions in cortisol associated with primary care brief mindfulness program for veterans with PTSD. //Medical Care, 52//(12), S25-S31. https://doi.org/10.1097/MLR.0000000000000224
Creswell, J.D., Pacilio, L.E., Lindsay, E.K., & Brown, K.W. (2014). Brief mindfulness meditation training alters psychological and neuroendocrine responses to social evaluative stress. //Psychoneuroendocrinology, 44//, 1-12. https://doi.org/10.1016/j.psyneuen.2014.02.007
Dulin, P.L., & Gonzalez, V.M. (2017). Smartphone-based, momentary intervention for alcohol cravings amongst individuals with an alcohol use disorder. //Psychology of Addictive Behaviors, 31//(5), 601-607. https://doi.org/10.1037/adb0000292
Branstrom, R., Kvillemo, P., & Akerstedt, T. (2013). Effects of mindfulness training on levels of cortisol in cancer patients. //Psychosomatics, 54//(2), 158-164. https://doi.org/10.1016/j.psym.2012.04.007
Chakroun-Baggioni, N., Corman, M., Spada, M.M., Caselli, G., & Gierski, F. (2017). Desire thinking as a confounder in the relationship between mindfulness and craving: Evidence from a cross-cultural validation of the desire thinking questionnaire. //Psychiatry Research, 256//, 188-193. https://doi.org/10.1016/j.psychres.2017.06.051
Alberts, H.J.E.M., Thewissen, R., & Middelweerd, M. (2013). Accepting or suppressing the desire to eat: Investigating the short-term effects of acceptance-based craving regulation. //Eating Behaviors, 14//(3), 405-409. https://doi.org/10.1016/j.eatbeh.2013.06.008
Haslam, A., Wirth, M.D., & Robb, S.W. (2017). Relationship between meditation depth and waking salivary alpha-amylase secretion among long-term MBSR instructors. //Stress and Health, 33//(3), 298-306. https://doi.org/10.1002/smi.2706
Daubenmier, J., Hayden, D., Chang, V., & Epel, E. (2014). It's not what you think, it's how you relate to it: Dispositional mindfulness moderates the relationship between psychological distress and the cortisol awakening response. //Psychoneuroendocrinology, 48//, 11-18. https://doi.org/10.1016/j.psyneuen.2014.05.012
Brand, S., Holsboer-Trachsler, E., Naranjo, J.R., & Schmidt, S. (2012). Influence of mindfulness practice on cortisol and sleep in long-term and short-term meditators. //Neuropsychobiology, 65//(3), 109-118. https://doi.org/10.1159/000330362
Orenstein, E., Basilakos, A., & Marshall, R.S. (2012). Effects of mindfulness meditation on three individuals with aphasia. //International Journal of Language & Communication Disorders, 47//(6), 673-684. https://doi.org/10.1111/j.1460-6984.2012.00173.x
O'Leary, K., O'Neill, S., & Dockray, S. (2016). A systematic review of the effects of mindfulness interventions on cortisol. //Journal of Health Psychology, 21//(9), 2108-2121. https://doi.org/10.1177/1359105315569095
Miodrag, N., Lense, M.D., & Dykens, E.M. (2013). A pilot study of a mindfulness intervention for individuals with Williams syndrome: Physiological outcomes. //Mindfulness, 4//(2), 137-147. https://doi.org/10.1007/s12671-012-0178-2
de Timary, P., Uva, M.C.D., Denoel, C., Hebborn, L., Derely, M., Desseilles, M., ... & Luminet, O. (2013). The associations between self-consciousness, depressive state and craving to drink among alcohol dependent patients undergoing protracted withdrawal. //PLOS ONE, 8//(8), e71560. https://doi.org/10.1371/journal.pone.0071560
Cruess, D.G., Finitsis, D.J., Smith, A.L., Goshe, B.M., Burnham, K., Burbridge, C., ... & O'Leary, K. (2015). Brief stress management reduces acute distress and buffers physiological response to a social stress test. //International Journal of Stress Management, 22//(3), 270-286. https://doi.org/10.1037/a0039130
Witkiewitz, K., Bowen, S., Douglas, H., & Hsu, S.H. (2013). Mindfulness-based relapse prevention for substance craving. //Addictive Behaviors, 38//(2), 1563-1571. https://doi.org/10.1016/j.addbeh.2012.04.001
Jacobs, T.L., Shaver, P.R., Epel, E.S., Zanesco, A.P., Aichele, S.R., Bridwell, D.A., ... & Saron, C.D. (2013). Self-reported mindfulness and cortisol during a Shamatha meditation retreat. //Health Psychology, 32//(10), 1104-1109. https://doi.org/10.1037/a0031362
Hamilton, J., Fawson, S., May, J., Andrade, J., & Kavanagh, D.J. (2013). Brief guided imagery and body scanning interventions reduce food cravings. //Appetite, 71//, 158-162. https://doi.org/10.1016/j.appet.2013.08.005
Brown, K.W., Weinstein, N., & Creswell, J.D. (2012). Trait mindfulness modulates neuroendocrine and affective responses to social evaluative threat. //Psychoneuroendocrinology, 37//(12), 2037-2041. https://doi.org/10.1016/j.psyneuen.2012.04.003
Murphy, C.M., & MacKillop, J. (2014). Mindfulness as a strategy for coping with cue-elicited cravings for alcohol: An experimental examination. //Alcoholism: Clinical and Experimental Research, 38//(4), 1134-1142. https://doi.org/10.1111/acer.12322
Garland, E.L., Beck, A.C., Lipschitz, D.L., & Nakamura, Y. (2015). Dispositional mindfulness predicts attenuated waking salivary cortisol levels in cancer survivors: A latent growth curve analysis. //Journal of Cancer Survivorship, 9//(2), 215-222. https://doi.org/10.1007/s11764-014-0402-2
Eliason, M.J., & Amodia, D.S. (2007). An integral approach to drug craving. //Addiction Research & Theory, 15//(4), 343-364. https://doi.org/10.1080/16066350701500627
Roggi, P.M.D., da Gama, M.F.N., Neves, F.S., & Garcia, F. (2015). Update on treatment of craving in patients with addiction using cognitive behavioral therapy. //Clinical Neuropsychiatry, 12//(5), 118-127.
Garland, E.L., & Roberts-Lewis, A. (2013). Differential roles of thought suppression and dispositional mindfulness in posttraumatic stress symptoms and craving. //Addictive Behaviors, 38//(2), 1555-1562. https://doi.org/10.1016/j.addbeh.2012.02.004
Rogojanski, J., Vettese, L.C., & Antony, M.M. (2011). Role of sensitivity to anxiety symptoms in responsiveness to mindfulness versus suppression strategies for coping with smoking cravings. //Journal of Clinical Psychology, 67//(4), 439-445. https://doi.org/10.1002/jclp.20774
Witkiewitz, K., & Bowen, S. (2010). Depression, craving, and substance use following a randomized trial of mindfulness-based relapse prevention. //Journal of Consulting and Clinical Psychology, 78//(3), 362-374. https://doi.org/10.1037/a0019172
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Donaldson, G.W., & Nakamura, Y. (2013). Reduction in salivary alpha-amylase levels following a mind-body intervention in cancer survivors - An exploratory study. //Psychoneuroendocrinology, 38//(9), 1521-1531. https://doi.org/10.1016/j.psyneuen.2012.12.021
Laurent, H.K., Duncan, L.G., Lightcap, A., & Khan, F. (2017). Mindful parenting predicts mothers' and infants' hypothalamic-pituitary-adrenal activity during a dyadic stressor. //Developmental Psychology, 53//(3), 417-424. https://doi.org/10.1037/dev0000258
Ardame, A., Bassaknejad, S., Zargard, Y., Rokni, P., & Sayyah, M. (2014). Examine the relationship between mindfulness and drug craving in addicts undergoing methadone maintenance treatment. //Iranian Journal of Public Health, 43//(3), 349-354.
Laurent, H., Laurent, S., Hertz, R., Egan-Wright, D., & Granger, D.A. (2013). Sex-specific effects of mindfulness on romantic partners' cortisol responses to conflict and relations with psychological adjustment. //Psychoneuroendocrinology, 38//(12), 2905-2913. https://doi.org/10.1016/j.psyneuen.2013.07.018
Pace, T.W.W., Negi, L.T., Sivilli, T.I., Issa, M.J., Cole, S.P., Adame, D.D., ... & Raison, C.L. (2010). Innate immune, neuroendocrine and behavioral responses to psychosocial stress do not predict subsequent compassion meditation practice time. //Psychoneuroendocrinology, 35//(2), 310-315. https://doi.org/10.1016/j.psyneuen.2009.06.008
Ding, X.Q., Tang, Y.Y., Tang, R.X., & Posner, M.I. (2014). Improving creativity performance by short-term meditation. //Behavioral and Brain Functions, 10//, 9. https://doi.org/10.1186/1744-9081-10-9
Kim, S.H., Schneider, S.M., Bevans, M., Kravitz, L., Mermier, C., Qualls, C., ... & Burge, M.R. (2013). PTSD symptom reduction with mindfulness-based stretching and deep breathing exercise: Randomized controlled clinical trial of efficacy. //Journal of Clinical Endocrinology & Metabolism, 98//(7), 2984-2992. https://doi.org/10.1210/jc.2012-3742
Zimmaro, L.A., Salmon, P., Naidu, H., Rowe, J., Phillips, K., Rebholz, W.N., ... & Sephton, S.E. (2016). Association of dispositional mindfulness with stress, cortisol, and well-being among university undergraduate students. //Mindfulness, 7//(4), 874-885. https://doi.org/10.1007/s12671-016-0526-8
Papies, E.K., van Winckel, M., & Keesman, M. (2016). Food-specific decentering experiences are associated with reduced food cravings in meditators: A preliminary investigation. //Mindfulness, 7//(5), 1123-1131. https://doi.org/10.1007/s12671-016-0554-4
Sanada, K., Montero-Marin, J., Diez, M.A., Salas-Valero, M., Perez-Yus, M.C., Morillo, H., ... & Garcia-Campayo, J. (2016). Effects of mindfulness-based interventions on salivary cortisol in healthy adults: A meta-analytical review. //Frontiers in Physiology, 7//, 171. https://doi.org/10.3359/fphys.2016.00/171
Tang, Y.Y., Yang, L.Z., Leve, L.D., & Harold, G.T. (2012). Improving executive function and its neurobiological mechanisms through a mindfulness-based intervention: Advances within the field of developmental neuroscience. //Child Development Perspectives, 6//(4), 361-366. https://doi.org/10.1111/j.1750-8606.2012.00250.x
Tang, Y.Y., Lu, Q.L., Fan, M., Yang, Y.H., & Posner, M.I. (2012). Mechanisms of white matter changes induced by meditation. //Proceedings of the National Academy of Sciences of the United States of America, 109//(26), 10570-10574. https://doi.org/10.1073/pnas.1207817109
Schneider, B.C., Moritz, S., Hottenrott, B., Reimer, J., Andreou, C., & Jelinek, L. (2016). Association splitting: A randomized controlled trial of a new method to reduce craving among inpatients with alcohol dependence. //Psychiatry Research, 238//, 310-317. https://doi.org/10.1016/j.psychres.2016.02.051
Kuehner, C., Huffziger, S., & Liebsch, K. (2009). Rumination, distraction and mindful self-focus: Effects on mood, dysfunctional attitudes and cortisol stress response. //Psychological Medicine, 39//(2), 219-228. https://doi.org/10.1017/S0033291708003553
Robinson, M.D., Ode, S., & Hilmert, C.J. (2014). Cortisol reactivity in the laboratory predicts ineffectual attentional control in daily life. //Psychology & Health, 29//(7), 781-795. https://doi.org/10.1080/08870446.2014.884224
Ruiz-Robledillo, N., Sarinana-Gonzalez, P., Perez-Blasco, J., Gonzalez-Bono, E., & Moya-Albiol, L. (2015). A mindfulness-based program improves health in caregivers of people with autism spectrum disorder: A pilot study. //Mindfulness, 6//(4), 767-777. https://doi.org/10.1007/s12671-014-0316-0
Galantino, M.L., Baime, M., Maguire, M., Szapary, P.O., & Farrar, J.T. (2005). Short communication: Association of psychological and physiological measures of stress in health-care professionals during an 8-week mindfulness meditation program: Mindfulness in practice. //Stress and Health, 21//(4), 255-261. https://doi.org/10.1002/smi.1062
Hsiao, F.H., Jow, G.M., Kuo, W.H., Yang, P.S., Lam, H.B., Chang, K.J., ... & Chang, C.H. (2016). The long-term effects of mindfulness added to family resilience-oriented couples support group on psychological well-being and cortisol responses in breast cancer survivors and their partners. //Mindfulness, 7//(6), 1365-1376. https://doi.org/10.1007/s12671-016-0578-9
Pace, T.W.W., Negi, L.T., Adame, D.D., Cole, S.P., Sivilli, T.I., Brown, T.D., ... & Raison, C.L. (2009). Effect of compassion meditation on neuroendocrine, innate immune and behavioral responses to psychosocial stress. //Psychoneuroendocrinology, 34//(1), 87-98. https://doi.org/10.1016/j.psyneuen.2008.08.011
Enkema, M.C., & Bowen, S. (2017). Mindfulness practice moderates the relationship between craving and substance use in a clinical sample. //Drug and Alcohol Dependence, 179//, 1-7. https://doi.org/10.1016/j.drugalcdep.2017.05.036
Wetherell, J.L., Hershey, T., Hickman, S., Tate, S.R., Dixon, D., Bower, E.S., ... & Lenze, E.J. (2017). Mindfulness-based stress reduction for older adults with stress disorders and neurocognitive difficulties: A randomized controlled trial. //Journal of Clinical Psychiatry, 78//(7), E734-E743. https://doi.org/10.4088/JCP.16m10947
Carlson, L.E., Doll, R., Stephen, J., Faris, P., Tamagawa, R., Drysdale, E., ... & Speca, M. (2013). Randomized controlled trial of mindfulness-based cancer recovery versus supportive expressive group therapy for distressed survivors of breast cancer (mindset). //Journal of Clinical Oncology, 31//(25), 3119-3126. https://doi.org/10.1200/JCO.2012.47.5210
Kramer, U., Pascual-Leone, A., Berthoud, L., De Roten, Y., Marquet, P., Kolly, S., ... & Page, D. (2016). Assertive anger mediates effects of dialectical behaviour-informed skills training for borderline personality disorder: A randomized controlled trial. //Clinical Psychology & Psychotherapy, 23//(3), 189-202. https://doi.org/10.1002/cpp.1956
Laurent, H.K., Laurent, S.M., Nelson, B., Wright, D.B., & Sanchez, M.A.D. (2015). Dispositional mindfulness moderates the effect of a brief mindfulness induction on physiological stress responses. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0377-0
Garland, E.L., Froeliger, B., & Howard, M.O. (2014). Effects of mindfulness-oriented recovery enhancement on reward responsiveness and opioid cue-reactivity. //Psychopharmacology, 231//(16), 3229-3238. https://doi.org/10.1007/s00213-014-3504-7
Tang, Y.Y., Tang, R.X., & Posner, M.I. (2016). Mindfulness meditation improves emotion regulation and reduces drug abuse. //Drug and Alcohol Dependence, 163//, S13-S18. https://doi.org/10.1016/j.drugalcdep.2015.11.041
Grow, J.C., Collins, S.E., Harrop, E.N., & Marlatt, G.A. (2015). Enactment of home practice following mindfulness-based relapse prevention and its association with substance-use outcomes. //Addictive Behaviors, 40//, 16-20. https://doi.org/10.1016/j.addbeh.2014.07.030
Carlson, L.E., Speca, M., Patel, K.D., & Goodey, E. (2004). Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress and levels of cortisol, dehydroepiandrosterone sulfate (DHEAS) and melatonin in breast and prostate cancer outpatients. //Psychoneuroendocrinology, 29//(4), 448-474. https://doi.org/10.1016/S0306-4530(03)00054-4
Alberts, H.J.E.M., Mulkens, S., Smeets, M., & Thewissen, R. (2010). Coping with food cravings. investigating the potential of a mindfulness-based intervention. //Appetite, 55//(1), 160-163. https://doi.org/10.1016/j.appet.2010.05.044
Hou, W.K., Ng, S.M., & Wan, J.H.Y. (2015). Changes in positive affect and mindfulness predict changes in cortisol response and psychiatric symptoms: A latent change score modelling approach. //Psychology & Health, 30//(5), 551-567. https://doi.org/10.1080/08870446.2014.990389
Lynch, S., Gander, M.L., Kohls, N., Kudielka, B., & Walach, H. (2011). Mindfulness-based coping with university life: A non-randomized wait-list-controlled pilot evaluation. //Stress and Health, 27//(5), 365-375. https://doi.org/10.1002/smi.1382
Forman, E.M., Hoffman, K.L., Juarascio, A.S., Butryn, M.L., & Herbert, J.D. (2013). Comparison of acceptance-based and standard cognitive-based coping strategies for craving sweets in overweight and obese women. //Eating Behaviors, 14//(1), 64-68. https://doi.org/10.1016/j.eatbeh.2012.10.016
Bergeron, C.M., Almgren-Dore, I., & Dandeneau, S. (2016). Letting go (implicitly): Priming mindfulness mitigates the effects of a moderate social stressor. //Frontiers in Psychology, 7//, 872. https://doi.org/10.3389/fpsyg.2016.00872
[img[tps106.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Hu, L.P., Liu, D.P., Chen, Q.Y., Harrison, T.J., He, X., Wang, X.Y., ... & Fang, Z.L. (2015). Occult HBV infection may be transmitted through close contact and manifest as an overt infection. //PLOS ONE, 10//(10), e0138552. https://doi.org/10.1371/journal.pone.0138552
Creswell, J.D., Myers, H.F., Cole, S.W., & Irwin, M.R. (2009). Mindfulness meditation training effects on CD4+ T lymphocytes in HIV-1 infected adults: A small randomized controlled trial. //Brain Behavior and Immunity, 23//(2), 184-188. https://doi.org/10.1016/j.bbi.2008.07.004
Ljotsson, B., Andersson, G., Andersson, E., Hedman, E., Lindfors, P., Andreewitch, S., ... & Lindefors, N. (2011). Acceptability, effectiveness, and cost-effectiveness of internet-based exposure treatment for irritable bowel syndrome in a clinical sample: A randomized controlled trial. //BMC Gastroenterology, 11//, 110. https://doi.org/10.1186/1471-230X-11-110
Bennett, E.V., Clarke, L.H., Kowalski, K.C., & Crocker, P.R.E. (2017). From pleasure and pride to the fear of decline: Exploring the emotions in older women's physical activity narratives. //Psychology of Sport and Exercise, 33//, 113-122. https://doi.org/10.1016/j.psychsport.2017.08.012
Held, P., Owens, G.P., Monroe, J.R., & Chard, K.M. (2017). Increased mindfulness skills as predictors of reduced trauma-related guilt in treatment-seeking veterans. //Journal of Traumatic Stress, 30//(4), 425-431. https://doi.org/10.1002/jts.22209
Connelly, J.E. (2005). Narrative possibilities - using mindfulness in clinical practice. //Perspectives in Biology and Medicine, 48//(1), 84-94. https://doi.org/10.1353/pbm.2005.0006
Noguchi, R., Sekizawa, Y., So, M., Yamaguchi, S., & Shimizu, E. (2017). Effects of five-minute internet-based cognitive behavioral therapy and simplified emotion-focused mindfulness on depressive symptoms: A randomized controlled trial. //BMC Psychiatry, 17//, 85. https://doi.org/10.1186/s12888-017-1248-8
McIntosh, R.C., Ironson, G., Antoni, M., Kumar, M., Fletcher, M.A., & Schneiderman, N. (2014). Alexithymia is linked to neurocognitive, psychological, neuroendocrine, and immune dysfunction in persons living with HIV. //Brain Behavior and Immunity, 36//, 165-175. https://doi.org/10.1016/j.bbi.2013.10.024
Mon, M.M., Liabsuetrakul, T., McNeil, E.B., & Htut, K.M. (2017). Mindfulness-integrated reproductive health package for adolescents with parental HIV infection: A group-randomized controlled trial. //Vulnerable Children and Youth Studies, 12//(2), 147-159. https://doi.org/10.1080/17450128.2017.1282072
Li, M.J., Thing, J.P., Galvan, F.H., Gonzalez, K.D., & Bluthenthal, R.N. (2017). Contextualising family microaggressions and strategies of resilience among young gay and bisexual men of Latino heritage. //Culture Health & Sexuality, 19//(1), 107-120. https://doi.org/10.1080/13691058.2016.1208273
Ljotsson, B., Hedman, E., Andersson, E., Hesser, H., Lindfors, P., Hursti, T., ... & Andersson, G. (2011). Internet-delivered exposure-based treatment vs. stress management for irritable bowel syndrome: A randomized trial. //American Journal of Gastroenterology, 106//(8), 1481-1491. https://doi.org/10.1038/ajg.2011.139
SeyedAlinaghi, S., Jam, S., Foroughi, M., Imani, A., Mohraz, M., Djavid, G.E., ... & Black, D.S. (2012). Randomized controlled trial of mindfulness-based stress reduction delivered to human immunodeficiency virus–positive patients in Iran: Effects on CD4+ T lymphocyte count and medical and psychological symptoms. //Psychosomatic Medicine, 74//(6), 620-627. https://doi.org/10.1097/PSY.0b013e31825abfaa
Kiyoshi-Teo, H., Krein, S.L., & Saint, S. (2013). Applying mindful evidence-based practice at the bedside: Using catheter-associated urinary tract infection as a model. //Infection Control and Hospital Epidemiology, 34//(10), 1099-1101. https://doi.org/10.1086/673147
Vega, B.R., Perez, C.B., PalaoTarrero, A., & Liria, A.F. (2014). Mindfulness-based narrative therapy for depression in cancer patients. //Clinical Psychology & Psychotherapy, 21//(5), 411-419. https://doi.org/10.1002/cpp.1847
Melendez, M., Cortes, D.E., & Amaro, H. (2012). Acceptability and cultural fit of spiritual self-schema therapy for Puerto Rican women with addiction disorders: Qualitative findings. //Women & Therapy, 35//(1-2), 106-119. https://doi.org/10.1080/02703149.2012.634733
Ridge, D., Williams, I., Anderson, J., & Elford, J. (2008). Like a prayer: The role of spirituality and religion for people living with HIV in the UK. //Sociology of Health & Illness, 30//(3), 413-428. https://doi.org/10.1111/j.1467-9566.2007.01062.x
Lynn, R., & Mensinga, J. (2015). Social workers' narratives of integrating mindfulness into practice. //Journal of Social Work practice, 29//(3), 255-270. https://doi.org/10.1080/02650533.2015.1035237
Eller, L.S., Rivero-Mendez, M., Voss, J., Chen, W.T., Chaiphibalsarisdi, P., Iipinge, S., ... & Brion, J.M. (2014). Depressive symptoms, self-esteem, HIV symptom management self-efficacy and self-compassion in people living with HIV. //AIDS Care: Psychological and Socio-medical Aspects of AIDS/HIV, 26//(7), 795-803. https://doi.org/10.1080/09540121.2013.841842
Kivi, M., Eriksson, M.C.M., Hange, D., Petersson, E.L., Vernmark, K., Johansson, B., ... & Bjorkelund, C. (2014). Internet-based therapy for mild to moderate depression in Swedish primary care: Short term results from the prim-net randomized controlled trial. //Cognitive Behaviour Therapy, 43//(4), 289-298. https://doi.org/10.1080/16506073.2014.921834
Barrett, B., Hayney, M.S., Muller, D., Rakel, D., Ward, A., Obasi, C.N., ... & Coe, C.L. (2012). Meditation or exercise for preventing acute respiratory infection: A randomized controlled trial. //Annals of Family Medicine, 10//(4), 337-346. https://doi.org/10.1370/afm.1376
Mon, M.M., Liabsuetrakul, T., & Htut, K.M. (2016). Effectiveness of mindfulness intervention on psychological behaviors among adolescents with parental HIV infection: A group-randomized controlled trial. //Asia-Pacific Journal of Public Health, 28//(8), 765-775. https://doi.org/10.1177/1010539516675698
Ljotsson, B., Hesser, H., Andersson, E., Lackner, J.M., El Alaoui, S., Falk, L., ... & Hedman, E. (2014). Provoking symptoms to relieve symptoms: A randomized controlled dismantling study of exposure therapy in irritable bowel syndrome. //Behaviour Research and Therapy, 55//, 27-39. https://doi.org/10.1016/j.brat.2014.01.007
Salmoirago-Blotcher, E., Rich, C., Rosen, R.K., Dunsiger, S., Rana, A., & Carey, M.P. (2017). Phone-delivered mindfulness training to promote medication adherence and reduce sexual risk behavior among persons living with HIV: Design and methods. //Contemporary Clinical Trials, 53//, 162-170. https://doi.org/10.1016/j.cct.2016.12.016
Hayney, M.S., Henriquez, K.M., Barnet, J.H., Ewers, T., Champion, H.M., Flannery, S., ... & Barrett, B. (2017). Serum IFN-γ-induced protein 10 (IP-10) as a biomarker for severity of acute respiratory infection in healthy adults. //Journal of Clinical Virology, 90//, 32-37. https://doi.org/10.1016/j.jcv.2017.03.003
Levinson, D.B., Stoll, E.L., Kindy, S.D., Merry, H.L., & Davidson, R.J. (2014). A mind you can count on: Validating breath counting as a behavioral measure of mindfulness. //Frontiers in Psychology, 5//, 1202. https://doi.org/10.3389/fpsyg.2014.01202
Wahler, R.G., Singh, J., & Singh, N.N. (2009). Parents' autobiographical narratives: Setting events for their contemplation of mindful changes. //Journal of Child and Family Studies, 18//(5), 520-529. https://doi.org/10.1007/s10826-008-9254-6
Flickinger, T.E., Berry, S., Korthuis, P.T., Saha, S., Laws, M.B., Sharp, V., ... & Beach, M.C. (2013). Counseling to reduce high-risk sexual behavior in HIV care: A multi-center, direct observation study. //AIDS Patient Care and STDs, 27//(7), 416-424. https://doi.org/10.1089/apc.2012.0426
Rakel, D., Mundt, M., Ewers, T., Fortney, L., Zgierska, A., Gassman, M., ... & Barrett, B. (2013). Value associated with mindfulness meditation and moderate exercise intervention in acute respiratory infection: The MEPARI study. //Family Practice, 30//(4), 390-397. https://doi.org/10.1093/fampra/cmt008
Belling, C. (2012). A happy doctor's escape from narrative: Reflection in Saturday. //Medical Humanities, 38//(1), 2-6. https://doi.org/10.1136/medhum-2011-010129
Moore, S.D., Brody, L.R., & Dierberger, A.E. (2009). Mindfulness and experiential avoidance as predictors and outcomes of the narrative emotional disclosure task. //Journal of Clinical Psychology, 65//(9), 971-988. https://doi.org/10.1002/jclp.20600
Robinson, F.P., Mathews, H.L., & Witek-Janusek, L. (2003). Psycho-endocrine-immune response to mindfulness-based stress reduction in individuals infected with the human immunodeficiency virus: A quasiexperimental study. //Journal of Alternative and Complementary Medicine, 9//(5), 683-694. https://doi.org/10.1089/107555303322524535
DasGupta, S. (2007). Between stillness and story: Lessons of children's illness narratives. //Pediatrics, 119//(6), E1384-E1391. https://doi.org/10.1542/peds.2006-2619
Boczkowska, M.M., & Zieba, M. (2016). Preliminary study of religious, spiritual and mystical experiences. Thematic analysis of poles adult's narratives. //Current Issues in Personality Psychology, 4//(3), 167-176. https://doi.org/10.5114/CIPP.2016.61484
Moore, S.D., & Brody, L.R. (2009). Linguistic predictors of mindfulness in written self-disclosure narratives. //Journal of Language and Social Psychology, 28//(3), 281-296. https://doi.org/10.1177/0261927X09335264
Keiser, D.L., & Adarkar, A. (2015). Buddhas still in classrooms: Where is the mustard seed?. //Reflective Practice, 16//(6), NA-848. https://doi.org/10.1080/14623943.2015.1095732
Riley, K.E., & Kalichman, S. (2015). Mindfulness-based stress reduction for people living with HIV/AIDS: Preliminary review of intervention trial methodologies and findings. //Health Psychology Review, 9//(2), 224-243. https://doi.org/10.1080/17437199.2014.895928
Gayner, B., Esplen, M.J., DeRoche, P., Wong, J.H., Bishop, S., Kavanagh, L., ... & Butler, K. (2012). A randomized controlled trial of mindfulness-based stress reduction to manage affective symptoms and improve quality of life in gay men living with HIV. //Journal of Behavioral Medicine, 35//(3), 272-285. https://doi.org/10.1007/s10865-011-9350-8
Amaro, H., Magno-Gatmaytan, C., Melendez, M., Cortes, D.E., Arevalo, S., & Margolin, A. (2010). Addiction treatment intervention: An uncontrolled prospective pilot study of spiritual self-schema therapy with Latina women. //Substance Abuse, 31//(2), 117-125. https://doi.org/10.1080/08897071003641602
Guillemin, M., & Gillam, L. (2015). Emotions, narratives, and ethical mindfulness. //Academic Medicine, 90//(6), 726-731. https://doi.org/10.1097/ACM.0000000000000709
Duncan, L.G., Moskowitz, J.T., Neilands, T.B., Dilworth, S.E., Hecht, F.M., & Johnson, M.O. (2012). Mindfulness-based stress reduction for HIV treatment side effects: A randomized, wait-list controlled trial. //Journal of Pain and Symptom Management, 43//(2), 161-171. https://doi.org/10.1016/j.jpainsymman.2011.04.007
Liden, E., Bjork-Bramberg, E., & Svensson, S. (2015). The meaning of learning to live with medically unexplained symptoms as narrated by patients in primary care: A phenomenological-hermeneutic study. //International Journal of Qualitative Studies on Health and Well-being, 10//, 27191. https://doi.org/10.3402/qhw.v10.27191
Brody, L.R., & Park, S.H. (2004). Narratives, mindfulness, and the implicit audience. //Clinical Psychology: Science and Practice, 11//(2), 147-154. https://doi.org/10.1093/clipsy/bph065
Berry, K., & Patti, C.J. (2015). Lost in narration: Applying autoethnography. //Journal of Applied Communication Research, 43//(2), 263-268. https://doi.org/10.1080/00909882.2015.1019548
[img[tps11.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Waistell, J., & Scherer, B. (2017). Inter-(c)are: Höpfl and Hanh metaphorical mediation of intercorporeal ethicality. //Culture and Organization, 23//(2), 118-130. https://doi.org/10.1080/14759551.2016.1239103
Pezaro, S., Clyne, W., & Fulton, E.A. (2017). A systematic mixed-methods review of interventions, outcomes and experiences for midwives and student midwives in work-related psychological distress. //Midwifery, 50//, 163-173. https://doi.org/10.1016/j.midw.2017.04.003
Kemmerer, L. (2007). In retreat: Thich Nhat Hanh in Colorado. //Contemporary Buddhism, 8//(1), 49-56. https://doi.org/10.1080/14639940701295641
Guillemin, M., & Gillam, L. (2015). Emotions, narratives, and ethical mindfulness. //Academic Medicine, 90//(6), 726-731. https://doi.org/10.1097/ACM.0000000000000709
Eisenbeiss, S.A., & van Knippenberg, D. (2015). On ethical leadership impact: The role of follower mindfulness and moral emotions. //Journal of Organizational Behavior, 36//(2), 182-195. https://doi.org/10.1002/job.1968
BIRCH, T.H. (1993). Moral considerability and universal consideration. //Environmental Ethics, 15//(4), 313-332. https://www.pdcnet.org/enviroethics/content/enviroethics_1993_0015_0004_0313_0332
Warin, J. (2011). Ethical mindfulness and reflexivity: Managing a research relationship with children and young people in a 14-year qualitative longitudinal research (QLR) study. //Qualitative Inquiry, 17//(9), 805-814. https://doi.org/10.1177/1077800411423196
Thomas, T., Schermerhorn, J.R., & Dienhart, J.W. (2004). Strategic leadership of ethical behavior in business. //Academy of Management Executive, 18//(2), 56-66. https://doi.org/10.5465/ame.2004.13837425
Goodenough, U. (2003). Religious naturalism and naturalizing morality. //Zygon, 38//(1), 101-109. https://doi.org/10.1111/1467-9744.00482
Gonzalez-Lopez, G. (2011). Mindful ethics: Comments on informant-centered practices in sociological research. //Qualitative Sociology, 34//(3), 447-461. https://doi.org/10.1007/s11133-011-9199-8
West, W. (2002). Some ethical dilemmas in counselling and counselling research. //British Journal of Guidance & Counselling, 30//(3), 261-268. https://doi.org/10.1080/0306988021000002308
Ruedy, N.E., & Schweitzer, M.E. (2010). In the moment: The effect of mindfulness on ethical decision making. //Journal of Business Ethics, 95//, 73-87. https://doi.org/10.1007/s10551-011-0796-y
Eide, T., van Dulmen, S., & Eide, H. (2016). Educating for ethical leadership through web-based coaching: A feasibility study. //Nursing Ethics, 23//(8), 851-865. https://doi.org/10.1177/0969733015584399
Simon, C., & Mosavel, M. (2011). Getting personal: Ethics and identity in global health research. //Developing World Bioethics, 11//(2), 82-92. https://doi.org/10.1111/j.1471-8847.2011.00297.x
Urban, P. (2015). Enactivism and care ethics: Merging perspectives. //Filozofia, 70//(2), 119-129. http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.cejsh-2d548bb7-652a-4ed1-b4a2-2e13f9aa0219
Fyke, J.P., & Buzzanell, P.M. (2013). The ethics of conscious capitalism: Wicked problems in leading change and changing leaders. //Human Relations, 66//(12), 1619-1644. https://doi.org/10.1177/0018726713485306
Bowtell, E.C., Sawyer, S.M., Aroni, R.A., Green, J.B., & Duncan, R.E. (2013). Should I send a condolence card? Promoting emotional safety in qualitative health research through reflexivity and ethical mindfulness. //Qualitative Inquiry, 19//(9), 652-663. https://doi.org/10.1177/1077800413500927
Strassberg, B.A. (2003). The plague of blood: HIV/AIDS and ethics of the global health-care challenge. //Zygon, 38/(1), 169-184. https://doi.org/10.1111/1467-9744.00490
Hedberg, P.R. (2017). Guiding moral behavior through a reflective learning practice. //Journal of Management education, 41(4), 514-538. https://doi.org/10.1177/1052562917695199
Guillemin, M., & Heggen, K. (2009). Rapport and respect: Negotiating ethical relations between researcher and participant. //Medicine Health Care and Philosophy, 12//(3), 291-299. https://doi.org/10.1007/s11019-008-9165-8
Unsworth, S., Palicki, S.K., & Lustig, J. (2016). The impact of mindful meditation in nature on self-nature interconnectedness. //Mindfulness, 7//(5), 1052-1060. https://doi.org/10.1007/s12671-016-0542-8
Hedlund-de Witt, A. (2014). Rethinking sustainable development: Considering how different worldviews envision "development" and "quality of life". //Sustainability, 6//(11), 8310-8328. https://doi.org/10.3390/su6118310
Shapiro, S.L., Jazaieri, H., & Goldin, P.R. (2012). Mindfulness-based stress reduction effects on moral reasoning and decision making. //Journal of Positive Psychology, 7//(6), 504-515. https://doi.org/10.1080/17439760.2012.723732
Alfieri, A.V. (2012). Educating lawyers for community. //Wisconsin Law Review, 2012//, 115-158. https://dx.doi.org/10.2139/ssrn.1991160
Krageloh, C.U. (2016). Importance of morality in mindfulness practice. //Counseling and Values, 61//(1), 97-110. https://doi.org/10.1002/cvj.12028
Cheek, J., Lipschitz, D.L., Abrams, E.M., Vago, D.R., & Nakamura, Y. (2015). Dynamic reflexivity in action: An armchair walkthrough of a qualitatively driven mixed-method and multiple methods study of mindfulness training in schoolchildren. //Qualitative Health Research, 25//(6), 751-762. https://doi.org/10.1177/1049732315582022
Black, D.S., Li, M.J., Ihenacho, U., Nguyen, N.T., Reyes, M.D., Milam, J., ... & Figueiredo, J.C. (2016). Shared health characteristics in hispanic colorectal cancer patients and their primary social support person following primary diagnosis. //Psycho-Oncology, 25//(9), 1028-1035. https://doi.org/10.1002/pon.3938
Inayatullah, S., Izgarjan, A., Kuusi, O., & Minkkinen, M. (2016). Metaphors in futures research. //Futures, 84//, 109-114. https://doi.org/10.1016/j.futures.2016.04.004
Teper, R., Tullett, A.M., Page-Gould, E., & Inzlicht, M. (2015). Errors in moral forecasting: Perceptions of affect shape the gap between moral behaviors and moral forecasts. //Personality and Social Psychology Bulletin, 41//(7), 887-900. https://doi.org/10.1177/0146167215583848
Schmidt, A.T. (2016). The ethics and politics of mindfulness-based interventions. //Journal of Medical Ethics, 42//(7), 450-454. https://doi.org/10.1136/medethics-2015-102942
Harrington, A., & Dunne, J.D. (2015). When mindfulness is therapy: Ethical qualms, historical perspectives. //American Psychologist, 70//(7), 621-631. https://doi.org/10.1037/a0039460
Bracken-Roche, D., Bell, E., Macdonald, M.E., & Racine, E. (2017). The concept of ' vulnerability ' in research ethics: An in-depth analysis of policies and guidelines. //Health Research Policy and Systems, 15//. https://doi.org/10.1186/s12961-016-0164-6
Ahlskog, R. (2017). Moral enhancement should target self-interest and cognitive capacity. //Neuroethics, 10//(3), 363-373. https://doi.org/10.1007/s12152-017-9331-x
Verhezen, P. (2010). Giving voice in a culture of silence. from a culture of compliance to a culture of integrity. //Journal of Business Ethics, 96//(2), 187-206. https://doi.org/10.1007/s10551-010-0458-5
Jensen, G.M., Randall, A.D., & Wharton, M.A. (2012). Cognitive impairment in older adults: The role of ethical mindfulness. //Topics in Geriatric Rehabilitation, 28//(3), 163-170. https://doi.org/10.1097/TGR.0b013e31825932d0
Baarts, C. (2009). Stuck in the middle: Research ethics caught between science and politics. //Qualitative Research, 9//(4), 423-439. https://doi.org/10.1177/1468794109337873
Gu, J., Zhong, C.B., & Page-Gould, E. (2013). Listen to your heart: When false somatic feedback shapes moral behavior. //Journal of Experimental Psychology: General, 142//(2), 307-312. https://doi.org/10.1037/a0029549
Thurman, S.L. (2015). Ethical considerations in longitudinal studies of human infants. //Infant Behavior & Development, 38//, 116-125. https://doi.org/10.1016/j.infbeh.2014.12.012
Kopacz, M.S., Connery, A.L., Bishop, T.M., Bryan, C.J., Drescher, K.D., Currier, J.M., ... & Pigeon, W.R. (2016). Moral injury: A new challenge for complementary and alternative medicine. //Complementary Therapies in Medicine, 24//, 29-33. https://doi.org/10.1016/j.ctim.2015.11.003
Monteiro, L.M., Musten, R.F., & Compson, J. (2015). Traditional and contemporary mindfulness: Finding the middle path in the tangle of concerns. //Mindfulness, 6//(1), 1-13. https://doi.org/10.1007/s12671-014-0301-7
Keevers, L., & Treleaven, L. (2011). Organizing practices of reflection: A practice-based study. //Management Learning, 42//(5), 505-520. https://doi.org/10.1177/1350507610391592
Parsons, S.F. (2012). The practice of Christian ethics: Mindfulness and faith. //Studies in Christian Ethics, 25//(4), 442-453. https://doi.org/10.1177/0953946812454790
Dalal, N. (2015). Responding to plagiarism using reflective means. //International Journal for Educational Integrity, 11//,4. https://doi.org/10.1007/s40979-015-0002-6
Valentine, S., Godkin, L., & Varca, P.E. (2010). Role conflict, mindfulness, and organizational ethics in an education-based healthcare institution. //Journal of Business Ethics, 94//(3), 455-469. https://doi.org/10.1007/s10551-009-0276-9
Zoghbi-Manrique-de-Lara, P., & Guerra-Baez, R. (2016). Exploring the influence of ethical climate on employee compassion in the hospitality industry. //Journal of Business Ethics, 133//(3), 605-617. https://doi.org/10.1007/s10551-014-2415-1
Grandy, G., & Sliwa, M. (2017). Contemplative leadership: The possibilities for the ethics of leadership theory and practice. //Journal of Business Ethics, 143//(3), 423-440. https://doi.org/10.1007/s10551-015-2802-2
McDonald, D., Boddy, J., O'Callaghan, K., & Chester, P. (2015). Ethical professional writing in social work and human services. //Ethics & Social Welfare, 9//(4), 359-374. https://doi.org/10.1080/17496535.2015.1009481
Huhtala, M., Kinnunen, U., & Feldt, T. (2017). School psychologists' ethical strain and rumination: Individual profiles and their associations with weekly well-being. //Psychology in the Schools, 54//(2), 127-141. https://doi.org/10.1002/pits.21992
Kashdan, T.B., Afram, A., Brown, K.W., Birnbeck, M., & Drvoshanov, M. (2011). Curiosity enhances the role of mindfulness in reducing defensive responses to existential threat. //Personality and Individual Differences, 50//(8), 1227-1232. https://doi.org/10.1016/j.paid.2011.02.015
Mintz, S. (2016). Mindful skin: Disability and the ethics of touch in life writing. //Life Writing, 13//(1), 47-62. https://doi.org/10.1080/14484528.2016.1132916
Pembroke, N. (2016). Contributions from Christian ethics and Buddhist philosophy to the management of compassion fatigue in nurses. //Nursing & Health Sciences, 18//(1), 120-124. https://doi.org/10.1111/nhs.12252
Narayanan, V.H. (2016). Voice in the head: The road ahead. //Journal of Indian Council of Philosophical Research, 33//(2), 265-280. https://doi.org/10.1007/s40961-016-0057-7
Keenan, E.K. (2010). Navigating the ethical terrain of spiritually focused psychotherapy goals: Multiple worldviews, affective triggers, and personal practices. //Smith College Studies in Social Work, 80//(42769), 228-247. https://doi.org/10.1080/00377311003754179
D'Cruz, H., & Gillingham, P. (2017). Participatory research ideals and practice experience: Reflections and analysis. //Journal of Social Work, 17//(4), 434-452. https://doi.org/10.1177/1468017316644704
Hearn, J.H., Finlay, K.A., & Fine, P.A. (2016). The devil in the corner: A mixed-methods study of metaphor use by those with spinal cord injury-specific neuropathic pain. //British Journal of Health Psychology, 21//(4), 973-988. https://doi.org/10.1111/bjhp.12211
George, K.M. (2008). Ethical pleasure, visual //dzikir//, and artistic subjectivity in contemporary Indonesia. //Material Religion, 4//(2), 172-192. https://doi.org/10.2752/175183408X328299
Foureur, M., Besley, K., Burton, G., Yu, N., & Crisp, J. (2013). Enhancing the resilience of nurses and midwives: Pilot of a mindfulness-based program for increased health, sense of coherence and decreased depression, anxiety and stress. //Contemporary Nurse, 45//(1), 114-125. http://doi.org//10.5172/conu.2013.45.1.114.
[img[tps12.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Pike, C., Vernon, D., & Hald, L.A. (2014). Asymmetric activation of the anterior cerebral cortex in recipients of IRECA: Preliminary evidence for the energetic effects of an intention-based biofield treatment modality on human neurophysiology. //Journal of Alternative and Complementary Medicine, 20//(10), 780-786. https://doi.org/10.1089/acm.2014.0074
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2014). Studying the default mode and its mindfulness-induced changes using EEG functional connectivity. //Social Cognitive and Affective Neuroscience, 9//(10), 1616-1624. https://doi.org/10.1093/scan/nst153
Zhou, R.L., & Liu, L. (2017). Eight-week mindfulness training enhances left frontal EEG asymmetry during emotional challenge: A randomized controlled trial. //Mindfulness, 8//(1), 181-189. https://doi.org/10.1007/s12671-016-0591-z
LeBlanc, B.W., Lii, T.R., Silverman, A.E., Alleyne, R.T., & Saab, C.Y. (2014). Cortical theta is increased while thalamocortical coherence is decreased in rat models of acute and chronic pain. //Pain, 155//(4), 773-782. https://doi.org/10.1016/j.pain.2014.01.013
Sik, H.H., Gao, J.L., Fan, J.C., Wu, B.W.Y., Leung, H.K., & Hung, Y.S. (2017). Using wavelet entropy to demonstrate how mindfulness practice increases coordination between irregular cerebral and cardiac activities. //JoVE: Journal of Visualized Experiments, 123//. https://doi.org/10.3791/55455
Hinterberger, T., & Furnrohr, E. (2016). The Sensorium: Psychophysiological evaluation of responses to a multimodal neurofeedback environment. //Applied Psychophysiology and Biofeedback, 41//(3), 315-329. https://doi.org/10.1007/s10484-016-9332-2
Wong, W.P., Camfield, D.A., Woods, W., Sarris, J., & Pipingas, A. (2015). Spectral power and functional connectivity changes during mindfulness meditation with eyes open: A magnetoencephalography (MEG) study in long-term meditators. //International Journal of Psychophysiology, 98//(1), 95-111. https://doi.org/10.1016/j.ijpsycho.2015.07.006
Gao, J.L., Fan, J.C., Wu, B.W.Y., Zhang, Z.G., Chang, C.Q., Hung, Y.S., ... & Sik, H.H. (2016). Entrainment of chaotic activities in brain and heart during MBSR mindfulness training. //Neuroscience Letters, 616//, 218-223. https://doi.org/10.1016/j.neulet.2016.01.001
Lehmann, D., Faber, P.L., Tei, S., Pascual-Marqui, R.D., Milz, P., & Kochi, K. (2012). Reduced functional connectivity between cortical sources in five meditation traditions detected with lagged coherence using EEG tomography. //Neuroimage, 60//(2), 1574-1586. https://doi.org/10.1016/j.neuroimage.2012.01.042
Chan, A.S., Cheung, M.C., Sze, S.L., Leung, W.W.M., & Shi, D.J. (2011). Shaolin dan tian breathing fosters relaxed and attentive mind: A randomized controlled neuro-electrophysiological study. //Evidence-based Complementary and Alternative Medicine, 180704//. https://doi.org/10.1155/2011/180704
Travis, F., & Arenander, A. (2006). Cross-sectional and longitudinal study of effects of transcendental meditation practice on interhemispheric frontal asymmetry and frontal coherence. //International Journal of Neuroscience, 116//(12), 1519-1538. https://doi.org/10.1080/00207450600575482
Lagopoulos, J., Xu, J., Rasmussen, I., Vik, A., Malhi, G.S., Eliassen, C.F., ... & Ellingsen, O. (2009). Increased theta and alpha EEG activity during nondirective meditation. //Journal of Alternative and Complementary Medicine, 15//(11), 1187-1192. https://doi.org/10.1089/acm.2009.0113
Jo, H.G., Malinowski, P., & Schmidt, S. (2017). Frontal theta dynamics during response conflict in long-term mindfulness meditators. //Frontiers in Human Neuroscience, 11//. https://doi.org/10.3389/fnhum.2017.00299
Kurth, F., MacKenzie-Graham, A., Toga, A.W., & Luders, E. (2015). Shifting brain asymmetry: The link between meditation and structural lateralization. //Social Cognitive and Affective Neuroscience, 10//(1), 55-61. https://doi.org/10.1093/scan/nsu029
Hashemi, A., Pino, L.J., Moffat, G., Mathewson, K.J., Aimone, C., Bennett, P.J., ... & Sekuler, A.B. (2016). Characterizing population EEG dynamics throughout adulthood. //eNeuro, 3//(6). https://doi.org/10.1523/ENEURO.0275-16.2016
Dentico, D., Ferrarelli, F., Riedner, B.A., Smith, R., Zennig, C., Lutz, A., ... & Davidson, R.J. (2016). Short meditation trainings enhance non-rem sleep low-frequency oscillations. //PLOS ONE, 11//(2). https://doi.org/10.1371/journal.pone.0148961
Ahani, A., Wahbeh, H., Nezamfar, H., Miller, M., Erdogmus, D., & Oken, B. (2014). Quantitative change of EEG and respiration signals during mindfulness meditation. //Journal of Neuroengineering and Rehabilitation, 11//. https://doi.org/10.1186/1743-0003-11-87
van Lutterveld, R., van Dellen, E., Pal, P., Yang, H., Stam, C.J., & Brewer, J. (2017). Meditation is associated with increased brain network integration. //Neuroimage, 158//, 18-25. https://doi.org/10.1016/j.neuroimage.2017.06.071
Chan, A.S., Han, Y.M.Y., & Cheung, M.C. (2008). Electroencephalographic (EEG) measurements of mindfulness-based triarchic body-pathway relaxation technique: A pilot study. //Applied Psychophysiology and Biofeedback, 33//(1), 39-47. https://doi.org/10.1007/s10484-008-9050-5
Ferrarelli, F., Smith, R., Dentico, D., Riedner, B.A., Zennig, C., Benca, R.M., ... & Tononi, G. (2013). Experienced mindfulness meditators exhibit higher parietal-occipital EEG Gamma activity during NREM sleep. //PLOS ONE, 8//(8). https://doi.org/10.1371/journal.pone.0073417
Keune, P.M., Wiedemann, E., Schneidt, A., & Schonenberg, M. (2015). Frontal brain asymmetry in adult attention-deficit/hyperactivity disorder (ADHD): Extending the motivational dysfunction hypothesis. //Clinical Neurophysiology, 126//(4), 711-720. https://doi.org/10.1016/j.clinph.2014.07.008
Kawashima, I., & Kumano, H. (2017). Prediction of mind-wandering with electroencephalogram and non-linear regression modeling. //Frontiers in Human Neuroscience, 11//. https://doi.org/10.3389/fnhum.2017.00365
Cahn, B.R., Delorme, A., & Polich, J. (2013). Event-related delta, theta, alpha and gamma correlates to auditory oddball processing during Vipassana meditation. //Social Cognitive and Affective Neuroscience, 8//(1), 100-111. https://doi.org/10.1093/scan/nss060
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2012). Mindfulness-induced changes in gamma band activity - implications for the default mode network, self-reference and attention. //Clinical Neurophysiology, 123//(4), 700-710. https://doi.org/10.1016/j.clinph.2011.07.048
Keune, P.M., Bostanov, V., Hautzinger, M., & Kotchoubey, B. (2013). Approaching dysphoric mood: State-effects of mindfulness meditation on frontal brain asymmetry. //Biological Psychology, 93//(1), 105-113. https://doi.org/10.1016/j.biopsycho.2013.01.016
Berkovich-Ohana, A., Dor-Ziderman, Y., Glicksohn, J., & Goldstein, A. (2013). Alterations in the sense of time, space, and body in the mindfulness-trained brain: A neurophenomenologically-guided MEG study. //Frontiers in Psychology, 4//,912. https://doi.org/10.3389/fpsyg.2013.00912
Schoenberg, P.L.A., & Speckens, A.E.M. (2015). Multi-dimensional modulations of alpha and gamma cortical dynamics following mindfulness-based cognitive therapy in major depressive disorder. //Cognitive Neurodynamics, 9//(1), 13-29. https://doi.org/10.1007/s11571-014-9308-y
Gimpel, C., Von Scheidt, C., Jose, G., Sonntag, U., Stefano, G.B., Michalsen, A., ... & Esch, T. (2014). Changes and interactions of flourishing, mindfulness, sense of coherence, and quality of life in patients of a mind-body medicine outpatient clinic. //Forschende Komplementarmedizin, 21//(3), 154-162. https://doi.org/10.1159/000363784
Gartner, M., Irrmischer, M., Winnebeck, E., Fissler, M., Huntenburg, J.M., Schroeter, T.A., ... & Barnhofer, T. (2017). Aberrant long-range temporal correlations in depression are attenuated after psychological treatment. //Frontiers in Human Neuroscience, 11//,340. https://doi.org/10.3389/fnhum.2017.00340
Dor-Ziderman, Y., Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2013). Mindfulness-induced selflessness: A MEG neurophenomenological study. //Frontiers in Human Neuroscience, 7//,582. https://doi.org/10.3389/fnhum.2013.00582
Berman, A.E., & Stevens, L. (2015). EEG manifestations of nondual experiences in meditators. //Consciousness and Cognition, 31//, 1-11. https://doi.org/10.1016/j.concog.2014.10.002
DeLosAngeles, D., Williams, G., Burston, J., Fitzgibbon, S.P., Lewis, T.W., Grummett, T.S., ... & Willoughby, J.O. (2016). Electroencephalographic correlates of states of concentrative meditation. //International Journal of Psychophysiology, 110//, 27-39. https://doi.org/10.1016/j.ijpsycho.2016.09.020
Wielgosz, J., Schuyler, B.S., Lutz, A., & Davidson, R.J. (2016). Long-term mindfulness training is associated with reliable differences in resting respiration rate. //Scientific Reports, 6//. https://doi.org/10.1038/srep27533
Keune, P.M., Bostanov, V., Hautzinger, M., & Kotchoubey, B. (2011). Mindfulness-based cognitive therapy (MBCT), cognitive style, and the temporal dynamics of frontal EEG alpha asymmetry in recurrently depressed patients. //Biological Psychology, 88//(42769), 243-252. https://doi.org/10.1016/j.biopsycho.2011.08.008
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., ... & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. //JAMA: Journal of the American Medical Association, 302//(12), 1284-1293. https://10.1001/jama.2009.1384
Stinson, B., & Arthur, D. (2013). A novel EEG for alpha brain state training, neurobiofeedback and behavior change. //Complementary Therapies in Clinical Practice, 19//(3), 114-118. https://doi.org/10.1016/j.ctcp.2013.03.003
Travis, F. (2014). Transcendental experiences during meditation practice. //Annals of the New York Academy of Sciences , 1307//, 1-8. https://doi.org/10.1111/nyas.12316
Takahashi, T., Murata, T., Hamada, T., Omori, M., Kosaka, H., Kikuchi, M., ... & Wada, Y. (2005). Changes in EEG and autonomic nervous activity during meditation and their association with personality traits. //International Journal of Psychophysiology, 55//(2), 199-207. https://doi.org/10.1016/j.ijpsycho.2004.07.004
Tanaka, G.K., Peressutti, C., Teixeira, S., Cagy, M., Piedade, R., Nardi, A.E., ... & Velasques, B. (2014). Lower trait frontal theta activity in mindfulness meditators. //Arquivos De Neuro-psiquiatria, 72//(9), 687-693. https://doi.org/10.1590/0004-282X20140133
Berkovich-Ohana, A., Glicksohn, J., Ben-Soussan, T.D., & Goldstein, A. (2017). Creativity is enhanced by long-term mindfulness training and is negatively correlated with trait default-mode-related low-gamma inter-hemispheric connectivity. //Mindfulness, 8//(3), 717-727. https://doi.org/10.1007/s12671-016-0649-y
Edwards, S.D. (2014). Evaluation of heart rhythm coherence feedback training on physiological and psychological variables. //South African Journal of Psychology, 44//(1), 73-82. https://doi.org/10.1177/0081246313516255
Sze, J.A., Gyurak, A., Yuan, J.W., & Levenson, R.W. (2010). Coherence between emotional experience and physiology: Does body awareness training have an impact?. //Emotion, 10//(6), 803-814. https://doi.org/10.1037/a0020146
Keune, P.M., Bostanov, V., Kotchoubey, B., & Hautzinger, M. (2012). Mindfulness versus rumination and behavioral inhibition: A perspective from research on frontal brain asymmetry. //Personality and Individual Differences, 53//(3), 323-328. https://doi.org/10.1016/j.paid.2012.03.034
Dor-Ziderman, Y., Ataria, Y., Fulder, S., Goldstein, A., & Berkovich-Ohana, A. (2016). Self-specific processing in the meditating brain: A MEG neurophenomenology study. //Neuroscience of Consciousness//, 1,niw019. https://doi.org/10.1093/nc/niw019
Phang, C.K., Mukhtar, F., Ibrahim, N., Keng, S.L., & Sidik, S.M. (2015). Effects of a brief mindfulness-based intervention program for stress management among medical students: The mindful-gym randomized controlled study. //Advances in Health Sciences Education, 20//(5). https://doi.org/10.1007/s10459-015-9591-3
Braboszcz, C., Cahn, B.R., Levy, J., Fernandez, M., & Delorme, A. (2017). Increased gamma brainwave amplitude compared to control in three different meditation traditions. //PLOS ONE, 12//(1). https://doi.org/10.1371/journal.pone.0170647
Reveley, J. (2015). School-based mindfulness training and the economisation of attention: A Stieglerian view. //Educational Philosophy and Theory, 47//(8), 804-821. https://doi.org/10.1080/00131857.2014.914880
Faber, P.L., Lehmann, D., Tei, S., Tsujiuchi, T., Kumano, H., Pascual-Marqui, R.D., ... & Kochi, K. (2012). EEG source imaging during two qigong meditations. //Cognitive Processing, 13//(3), 255-265. https://doi.org/10.1007/s10339-012-0441-4
Hauswald, A., Ubelacker, T., Leske, S., & Weisz, N. (2015). What it means to be Zen: Marked modulations of local and interareal synchronization during open monitoring meditation. //Neuroimage, 108//, 265-273. https://doi.org/10.1016/j.neuroimage.2014.12.065
Bing-Canar, H., Pizzuto, J., & Compton, R.J. (2016). Mindfulness-of-breathing exercise modulates EEG alpha activity during cognitive performance. //Psychophysiology, 53//(9), 1366-1376. https://doi.org/10.1111/psyp.12678
Howells, F.M., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2012). Mindfulness based cognitive therapy improves frontal control in bipolar disorder: A pilot EEG study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-15
Rodin, E., Bornfleth, H., & Johnson, M. (2017). DC-EEG recordings of mindfulness. //Clinical Neurophysiology, 128//(4), 512-519. https://doi.org/10.1016/j.clinph.2016.12.031
[img[tps13.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Watson, N.N., Black, A.R., & Hunter, C.D. (2016). African American women's perceptions of mindfulness meditation training and gendered race-related stress. //Mindfulness, 7//(5), 1034-1043. https://doi.org/10.1007/s12671-016-0539-3
Baranik, L.E., Wang, M., Gong, Y.P., & Shi, J.Q. (2017). Customer mistreatment, employee health, and job performance: Cognitive rumination and social sharing as mediating mechanisms. //Journal of Management, 43//(4), 1261-1282. https://doi.org/10.1177/0149206314550995
Ndubisi, N.O. (2012). Mindfulness, reliability, pre-emptive conflict handling, customer orientation and outcomes in Malaysia's healthcare sector. //Journal of Business Research, 65//(4), 537-546. https://doi.org/10.1016/j.jbusres.2011.02.019
Papies, E.K., van Winckel, M., & Keesman, M. (2016). Food-specific decentering experiences are associated with reduced food cravings in meditators: A preliminary investigation. //Mindfulness, 7//(5), 1123-1131. https://doi.org/10.1007/s12671-016-0554-4
Zhang, C.Q., Chung, P.K., Si, G.Y., & Gucciardi, D.F. (2016). Measuring decentering as a unidimensional construct: The development and initial validation of the Decentering Scale for Sport. //Psychology of Sport and Exercise, 24//, 147-158. https://doi.org/10.1016/j.psychsport.2016.02.006
Catalino, L.I., & Fredrickson, B.L. (2011). A Tuesday in the life of a flourisher: The role of positive emotional reactivity in optimal mental health. //Emotion, 11//(4), 938-950. https://doi.org/10.1037/a0024889
Naragon-Gainey, K., & DeMarree, K.G. (2017). Decentering attenuates the associations of negative affect and positive affect with psychopathology. //Clinical Psychological Science, 5//(6), 1027-1047. https://doi.org/10.1177/2167702617719758
Eftekhari, E., Tran, A., & McGregor, I. (2017). Decentering increases approach motivation among distressed individuals. //Personality and Individual Differences, 119//, 236-241. https://doi.org/10.1016/j.paid.2017.07.035
Kaiser, R.H., Andrews-Hanna, J.R., Metcalf, C.A., & Dimidjian, S. (2015). Dwell or decenter? rumination and decentering predict working memory updating after interpersonal criticism. //Cognitive Therapy and Research, 39//(6), 744-753. https://doi.org/10.1007/s10608-015-9697-1
Soler, J., Franquesa, A., Feliu-Soler, A., Cebolla, A., Garcia-Campayo, J., Tejedor, R., ... & Porte, M.J. (2014). Assessing decentering: Validation, psychometric properties, and clinical usefulness of the Experiences questionnaire in a Spanish sample. //Behavior Therapy, 45//(6), 863-871.
Bohlmeijer, E.T., Lamers, S.M.A., & Fledderus, M. (2015). Flourishing in people with depressive symptomatology increases with acceptance and commitment therapy. Post-hoc analyses of a randomized controlled trial. //Behaviour Research and Therapy, 65//, 101-106. https://doi.org/10.1016/j.brat.2014.12.014
Franquesa, A., Cebolla, A., Garcia-Campayo, J., Demarzo, M., Elices, M., Pascual, J.C., ... & Soler, J. (2017). Meditation practice is associated with a values-oriented life: The mediating role of decentering and mindfulness. //Mindfulness, 8//(5), 1259-1268. https://doi.org/10.1007/s12671-017-0702-5
Gecht, J., Kessel, R., Mainz, V., Gauggel, S., Drueke, B., Scherer, A., ... & Forkmann, T. (2014). Measuring decentering in self-reports: Psychometric properties of the experiences questionnaire in a German sample. //Psychotherapy Research, 24//(1), 67-79. https://doi.org/10.1080/10503307.2013.821635
McCracken, L.M., Barker, E., & Chilcot, J. (2014). Decentering, rumination, cognitive defusion, and psychological flexibility in people with chronic pain. //Journal of Behavioral Medicine, 37//(6), 1215-1225. https://doi.org/10.1007/s10865-014-9570-9
Gimpel, C., Von Scheidt, C., Jose, G., Sonntag, U., Stefano, G.B., Michalsen, A., ... & Esch, T. (2014). Changes and interactions of flourishing, mindfulness, sense of coherence, and quality of life in patients of a mind-body medicine outpatient clinic. //Forschende Komplementarmedizin, 21//(3), 154-162. https://doi.org/10.1159/000363784
Akin, A., & Akin, U. (2015). Examining the predictive role of self-compassion on flourishing in Turkish university students. //Anales de Psicologia, 31//(3). https://doi.org/10.6018/analesps.31.3.192041
Hayes-Skelton, S.A., Calloway, A., Roemer, L., & Orsillo, S.M. (2015). Decentering as a potential common mechanism across two therapies for generalized anxiety disorder. //Journal of Consulting and Clinical Psychology, 83//(2), 395-404. https://doi.org/10.1037/a0038305
Satici, S.A., Uysal, R., & Akin, A. (2013). Investigating the relationship between flourishing and self-compassion: A structural equation modeling approach. //Psychologica Belgica, 53//(4), 85-99. https://doi.org/10.5334/pb-53-4-85
Shoham, A., Goldstein, P., Oren, R., Spivak, D., & Bernstein, A. (2017). Decentering in the process of cultivating mindfulness: An experience-sampling study in time and context. //Journal of Consulting and Clinical Psychology, 85//(2), 123-134. https://doi.org/10.1037/ccp0000154
Ngo, L.V., Northey, G., Duffy, S., Thao, H.T.P., & Tam, L.T.H. (2016). Perceptions of others, mindfulness, and brand experience in retail service setting. //Journal of Retailing and Consumer Services, 33//, 43-52. https://doi.org/10.1016/j.jretconser.2016.07.003
Gregorio, S., Pinto-Gouveia, J., Duarte, C., & Simoes, L. (2015). Expanding research on decentering as measured by the Portuguese version of the Experiences questionnaire. //Spanish Journal of Psychology, 18//. https://doi.org/10.1017/sjp.2015.18
Hayes-Skelton, S., & Graham, J. (2013). Decentering as a common link among mindfulness, cognitive reappraisal, and social anxiety. //Behavioural and Cognitive Psychotherapy, 41//(3), 317-328. https://doi.org/10.1017/S1352465812000902
Shepherd, K.A., Coifman, K.G., Matt, L.M., & Fresco, D.M. (2016). Development of a self-distancing task and initial validation of responses. //Psychological Assessment, 28//(7), 841-855. https://doi.org/10.1037/pas0000297
Nell, W. (2016). Mindfulness and psychological well-being among black South African university students and their relatives. //Journal of Psychology in Africa, 26//(6), 485-490. https://doi.org/10.1080/14330237.2016.1250419
Feldman, G., Greeson, J., & Senville, J. (2010). Differential effects of mindful breathing, progressive muscle relaxation, and loving-kindness meditation on decentering and negative reactions to repetitive thoughts. //Behaviour Research and Therapy, 48//(10), 1002-1011. https://doi.org/10.1016/j.brat.2010.06.006
Fresco, D.M., Moore, M.T., van Dulmen, M.H.M., Segal, Z.V., Ma, S.H., Teasdale, J.D., ... & Williams, J.M.G. (2007). Initial psychometric properties of the experiences questionnaire: Validation of a self-report measure of decentering. //Behavior Therapy, 38//(3), 234-246. https://doi.org/10.1016/j.beth.2006.08.003
Ridge, D., Williams, I., Anderson, J., & Elford, J. (2008). Like a prayer: The role of spirituality and religion for people living with HIV in the UK. //Sociology of Health & Illness, 30//(3), 413-428. https://doi.org/10.1111/j.1467-9566.2007.01062.x
Lo, C.S.L., Ho, S.M.Y., Yu, N.K.K., & Siu, B.P.Y. (2014). Decentering mediates the effect of ruminative and experiential self-focus on negative thinking in depression. //Cognitive Therapy and Research, 38//(4), 389-396. https://doi.org/10.1007/s10608-014-9603-2
Hoge, E.A., Bui, E., Goetter, E., Robinaugh, D.J., Ojserkis, R.A., Fresco, D.M., ... & Simon, N.M. (2015). Change in decentering mediates improvement in anxiety in mindfulness-based stress reduction for generalized anxiety disorder. //Cognitive Therapy and Research, 39//(2), 228-235. https://doi.org/10.1007/s10608-014-9646-4
McCracken, L.M., Gutierrez-Martinez, O., & Smyth, C. (2013). Decentering reflects psychological flexibility in people with chronic pain and correlates with their quality of functioning. //Health Psychology, 32//(7), 820-823. https://doi.org/10.1037/a0028093
Naragon-Gainey, K., & DeMarree, K.G. (2017). Structure and validity of measures of decentering and defusion. //Psychological Assessment, 29//(7), 935-954. https://doi.org/10.1037/pas0000405
Palmeira, L., Trindade, I.A., & Ferreira, C. (2014). Can the impact of body dissatisfaction on disordered eating be weakened by one's decentering abilities?. //Eating Behaviors, 15//(3), 392-396. https://doi.org/10.1016/j.eatbeh.2014.04.012
VanBuskirk, K., West, L., Malcarne, V., Afari, N., Liu, L., Petkus, A., ... & Wetherell, J.L. (2012). Confirmatory factor analysis of the Valued Living Questionnaire in a Black American sample: Implications for cognitive research and practice. //Cognitive Therapy and Research, 36//(6), 796-805. https://doi.org/10.1007/s10608-011-9405-8
Pearson, M.R., Brown, D.B., Bravo, A.J., & Witkiewitz, K. (2015). Staying in the moment and finding purpose: The associations of trait mindfulness, decentering, and purpose in life with depressive symptoms, anxiety symptoms, and alcohol-related problems. //Mindfulness, 6//(3), 645-653. https://doi.org/10.1007/s12671-014-0300-8
Josefsson, T., Lindwall, M., & Broberg, A.G. (2014). The effects of a short-term mindfulness based intervention on self-reported mindfulness, decentering, executive attention, psychological health, and coping style: Examining unique mindfulness effects and mediators. //Mindfulness, 5//(1), 18-35. https://doi.org/10.1007/s12671-012-0142-1
Womack, V.Y., & Sloan, L.R. (2017). The association of mindfulness and racial socialization messages on approach-oriented coping strategies among African Americans. //Journal of Black Studies, 48//(4), 408-426. https://doi.org/10.1177/0021934717696789
Draper-Clarke, L.J., & Edwards, D.J.A. (2016). Stress and coping among student teachers at a South African university: An exploratory study. //Journal of Psychology in Africa, 26//(6), 491-499. https://doi.org/10.1080/14330237.2016.1250425
Morgan, J.R., Masuda, A., & Anderson, P.L. (2014). A preliminary analysis of the psychometric properties of the Mindful Attention Awareness Scale among African American college students. Mindfulness, 5(6), 639-645. https://doi.org/10.1007/s12671-013-0216-8
Vago, D.R., & Nakamura, Y. (2011). Selective attentional bias towards pain-related threat in fibromyalgia: Preliminary evidence for effects of mindfulness meditation training. //Cognitive Therapy and Research, 35//(6), 581-594. https://doi.org/10.1007/s10608-011-9391-x
Bieling, P.J., Hawley, L.L., Bloch, R.T., Corcoran, K.M., Levitan, R.D., Young, L.T., ... & Segal, Z.V. (2012). Treatment-specific changes in decentering following mindfulness-based cognitive therapy versus antidepressant medication or placebo for prevention of depressive relapse. //Journal of Consulting and Clinical Psychology, 80//(3), 365-372. https://doi.org/10.1037/a0027483
Brown, D.B., Bravo, A.J., Roos, C.R., & Pearson, M.R. (2015). Five facets of mindfulness and psychological health: Evaluating a psychological model of the mechanisms of mindfulness. //Mindfulness, 6//(5), 1021-1032. https://doi.org/10.1007/s12671-014-0349-4
Wupperman, P., Cohen, M.G., Haller, D.L., Flom, P., Litt, L.C., & Rounsaville, B.J. (2015). Mindfulness and modification therapy for behavioral dysregulation: A comparison trial focused on substance use and aggression. //Journal of Clinical Psychology, 71//(10), 964-978. https://doi.org/10.1002/jclp.22213
Meints, S.M., Stout, M., Abplanalp, S., & Hirsh, A.T. (2017). Pain-related rumination, but not magnification or helplessness, mediates race and sex differences in experimental pain. //Journal of Pain, 18//(3), 332-339. https://doi.org/10.1016/j.jpain.2016.11.005
Isbel, B., & Mahar, D. (2015). Cognitive mechanisms of mindfulness: A test of current models. //Consciousness and Cognition, 38//, 50-59. https://doi.org/10.1016/j.concog.2015.10.005
Conboy, L.A., Wilson, A., & Braun, T. (2010). Moving beyond health to flourishing: The effects of yoga teacher training. //The Scientific World Journal, 10//, 788-795. https://doi.org/10.1100/tsw.2010.87
Nel, N., Nel, J.A., Adams, B.G., & de Beer, L.T. (2015). Assessing cultural intelligence, personality and identity amongst young white Afrikaans-speaking students: A preliminary study. //SA Journal of Human Resource Management, 13//(1). https://doi.org/10.4102/sajhrm.v13i1.643
[img[tps14.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Bertisch, S.M., Wee, C.C., Phillips, R.S., & McCarthy, E.P. (2009). Alternative mind-body therapies used by adults with medical conditions. //Journal of Psychosomatic Research, 66//(6), 511-519. https://doi.org/10.1016/j.jpsychores.2008.12.003
Tsur, N., Berkovitz, N., & Ginzburg, K. (2016). Body awareness, emotional clarity, and authentic behavior: The moderating role of mindfulness. //Journal of Happiness Studies, 17//(4), 1451-1472. https://doi.org/10.1007/s10902-015-9652-6
Sharma, A., & Dewangan, R.L. (2017). Can wisdom be fostered: Time to test the model of wisdom. //Cogent Psychology, 4//(1). https://doi.org/10.1080/23311908.2017.1381456
Elander, J., Duarte, J., Maratos, F.A., & Gilbert, P. (2014). Opioids, substance abuse & addictions section. //Pain Medicine, 15//(4), 613-624. https://doi.org/10.1111/pme.12263
Stanley, S. (2012). Intimate distances: William James' introspection, Buddhist mindfulness, and experiential inquiry. //New Ideas in Psychology, 30//(2), 201-211. https://doi.org/10.1016/j.newideapsych.2011.10.001
Lavender, J.M., Tull, M.T., DiLillo, D., Messman-Moore, T., & Gratz, K.L. (2017). Development and validation of a state-based measure of emotion dysregulation: The State Difficulties in Emotion Regulation Scale (S-DERS). //Assessment, 24//(2), 197-209. https://doi.org/10.1177/1073191115601218
Ataria, Y. (2015). Where do we end and where does the world begin? The case of insight meditation. //Philosophical Psychology, 28//(8). https://doi.org/10.1080/09515089.2014.969801
Sauer, S., Walach, H., & Kohls, N. (2011). Gray's Behavioural Inhibition System as a mediator of mindfulness towards well-being. //Personality and Individual Differences, 50//(4), 506-511. https://doi.org/10.1016/j.paid.2010.11.019
Jung, Y.H., Ha, T.M., Oh, C.Y., Lee, U.S., Jang, J.H., Kim, J., ... & Kang, D.H. (2016). The effects of an online mind-body training program on stress, coping strategies, emotional intelligence, resilience and psychological state. //PLOS ONE, 11//(8). https://doi.org/10.1371/journal.pone.0159841
Crescentini, C., Urgesi, C., Fabbro, F., & Eleopra, R. (2014). Cognitive and brain reserve for mind-body therapeutic approaches in multiple sclerosis: A review. //Restorative Neurology and Neuroscience, 32//(5), 575-595. https://doi.org/10.3233/RNN-130364
Leahy, R.L., & Tirch, D.D. (2008). Cognitive behavioral therapy for jealousy. //International Journal of Cognitive Therapy, 1//(1), 18-32. https://doi.org/10.1680/ijct.2008.1.1.18
Hanley, A.W., & Garland, E.L. (2017). Clarity of mind: Structural equation modeling of associations between dispositional mindfulness, self-concept clarity and psychological well-being. //Personality and Individual Differences, 106//, 334-339. https://doi.org/10.1016/j.paid.2016.10.028
Jang, J.H., Park, H.Y., Lee, U.S., Lee, K.J., & Kang, D.H. (2017). Effects of mind-body training on cytokines and their interactions with catecholamines. //Psychiatry Investigation, 14//(4), 483-490. https://doi.org/10.4306/pi.2017.14.4.483
Preddy, T.M., McIndoo, C.C., & Hopko, D.R. (2013). Abbreviated mindfulness-based therapy for a depressed college student. //Clinical Case Studies, 12//(5), 360-372. https://doi.org/10.1177/1534650113496142
Blom, R., & Lu, C.L. (2016). Contextualising Postmodernity in Daoist Symbolism: Toward a mindful education embracing eastern wisdom. //Educational Philosophy and Theory, 48//(12), 1266-1283. https://doi.org/10.1080/00131857.2016.1190266
van der Valk, R., van de Waerdt, S., Meijer, C.J., van den Hout, I., & de Haan, L. (2013). Feasibility of mindfulness-based therapy in patients recovering from a first psychotic episode: A pilot study. //Early Intervention in Psychiatry, 7//(1), 64-70. https://doi.org/10.1111/j.1751-7893.2012.00356.x
Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., ... & Hofmann, S.G. (2013). Mindfulness-based therapy: A comprehensive meta-analysis. //Clinical Psychology Review, 33//(6), 763-771. https://doi.org/10.1016/j.cpr.2013.05.005
Stephenson, K.R., & Kerth, J. (2017). Effects of mindfulness-based therapies for female sexual dysfunction: A meta-analytic review. //Journal of Sex Research, 54//(7), 832-849. https://doi.org/10.1080/00224499.2017.1331199
Baum, C., Kuyken, W., Bohus, M., Heidenreich, T., Michalak, J., & Steil, R. (2010). The psychometric properties of the Kentucky Inventory of Mindfulness Skills in clinical populations. //Assessment, 17//(2), 220-229. https://doi.org/10.1177/1073191109356525
Del Rosso, A., & Maddali-Bongi, S. (2016). Mind body therapies in rehabilitation of patients with rheumatic diseases. //Complementary Therapies in Clinical Practice, 22//, 80-86. https://doi.org/10.1016/j.ctcp.2015.12.005
Manjrekar, E., & Berenbaum, H. (2012). Exploring the utility of emotional awareness and negative affect in predicting body satisfaction and body distortion. //Body Image, 9//(4), 495-502. https://doi.org/10.1016/j.bodyim.2012.05.005
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2016). Rasch analysis of the Kentucky Inventory of Mindfulness Skills. //Mindfulness, 7//(2), 466-478. https://doi.org/10.1007/s12671-015-0475-7
Weger, U., & Wagemann, J. (2015). The challenges and opportunities of first-person inquiry in experimental psychology. //New Ideas in Psychology, 36//, 38-49. https://doi.org/10.1016/j.newideapsych.2014.09.001
Nicastro, R., Jermann, F., Bondolfi, G., & McQuillan, A. (2010). Assessment of mindfulness with the French version of the Kentucky Inventory of Mindfulness Skills in community and borderline personality disorder samples. //Assessment, 17//(2), 197-205. https://doi.org/10.1177/1073191110363551
Cathcart, S., Galatis, N., Immink, M., Proeve, M., & Petkov, J. (2014). Brief mindfulness-based therapy for chronic tension-type headache: A randomized controlled pilot study. //Behavioural and Cognitive Psychotherapy, 42//(1), 1-15. https://doi.org/10.1017/S1352465813000234
Dambrun, M. (2016). When the dissolution of perceived body boundaries elicits happiness: The effect of selflessness induced by a body scan meditation. //Consciousness and Cognition, 46//, 89-98. https://doi.org/10.1016/j.concog.2016.09.013
Wong, M.Y., Ree, M.J., & Lee, C.W. (2016). Enhancing CBT for chronic insomnia: A randomised clinical trial of additive components of mindfulness or cognitive therapy. //Clinical Psychology & Psychotherapy, 23//(5), 377-385. https://doi.org/10.1002/cpp.1980
Joseph, J., & Gaba, V. (2015). The fog of feedback: Ambiguity and firm responses to multiple aspiration levels. //Strategic Management Journal, 36//(13). https://doi.org/10.1002/smj.2333
Christopher, M.S., & Gilbert, B.D. (2010). Incremental validity of components of mindfulness in the prediction of satisfaction with life and depression. //Current Psychology, 29//(1), 10-23. https://doi.org/10.1007/s12144-009-9067-9
Caldwell, J.G., & Shaver, P.R. (2015). Promoting attachment-related mindfulness and compassion: A wait-list-controlled study of women who were mistreated during childhood. //Mindfulness, 6//(3), 624-636. https://doi.org/10.1007/s12671-014-0298-y
Dekeyser, M., Raes, F., Leijssen, M., Leysen, S., & Dewulf, D. (2008). Mindfulness skills and interpersonal behaviour. //Personality and Individual Differences, 44//(5), 1235-1245. https://doi.org/10.1016/j.paid.2007.11.018
Rexroth, M., Michel, A., & Bosch, C. (2017). Promoting well-being by teaching employees how to segment their life domains effects of an online-based mindfulness intervention. //Zeitschrift Fur Arbeits-und Organisationspsychologie, 61//(4), 197-212. https://doi.org/10.1026/0932-4089/a000253
Reese, E.D., Zielinski, M.J., & Veilleux, J.C. (2015). Facets of mindfulness mediate behavioral inhibition systems and emotion dysregulation. //Personality and Individual Differences, 72//, 41-46. https://doi.org/10.1016/j.paid.2014.08.008
Tanner, M.A., Travis, F., Gaylord-King, C., Haaga, D.A.F., Grosswald, S., & Schneider, R.H. (2009). The effects of the transcendental meditation program on mindfulness. //Journal of Clinical Psychology, 65//(6), 574-589. https://doi.org/10.1002/jclp.20544
Ramsey, C. (2014). //Management Learning: A scholarship of practice centred on attention? Management Learning, 45//(1), 6-20. https://doi.org/10.1177/1350507612473563
[img[tps15.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Perich, T., Manicavasagar, V., Mitchell, P.B., Ball, J.R., & Hadzi-Pavlovic, D. (2013). A randomized controlled trial of mindfulness-based cognitive therapy for bipolar disorder. //Acta Psychiatrica Scandinavica, 127//(5), 333-343. https://doi.org/10.1111/acps.12033
Pylvanainen, P.M., Muotka, J.S., & Lappalainen, R. (2015). A dance movement therapy group for depressed adult patients in a psychiatric outpatient clinic: Effects of the treatment. //Frontiers in Psychology, 6//, 980. https://doi.org/10.3389/fpsyg.2015.00980
Michalak, J., Schultze, M., Heidenreich, T., & Schramm, E. (2015). A randomized controlled trial on the efficacy of mindfulness-based cognitive therapy and a group version of cognitive behavioral analysis system of psychotherapy for chronically depressed patients. //Journal of Consulting and Clinical Psychology, 83//(5). https://doi.org/10.1037/ccp0000042
Rakofsky, J.J., & Dunlop, B.W. (2011). Treating nonspecific anxiety and anxiety disorders in patients with bipolar disorder: A review. //Journal of Clinical Psychiatry, 72//(1), 81-90. https://doi.org/10.4088/JCP.09r05815gre
Carr, A., Finnegan, L., Griffin, E., Cotter, P., & Hyland, A. (2017). A randomized controlled trial of the say yes to life (sytl) positive psychology group psychotherapy program for depression: An interim report. //Journal of Contemporary Psychotherapy, 47//(3), 153-161. https://doi.org/10.1007/s10879-016-9343-6
Stratford, H.J., Cooper, M.J., Di Simplicio, M., Blackwell, S.E., & Holmes, E.A. (2015). Psychological therapy for anxiety in bipolar spectrum disorders: A systematic review. //Clinical Psychology Review, 35//, 19-34. https://doi.org/10.1016/j.cpr.2014.11.002
Van Dijk, S., Jeffrey, J., & Katz, M.R. (2013). A randomized, controlled, pilot study of dialectical behavior therapy skills in a psychoeducational group for individuals with bipolar disorder. //Journal of Affective Disorders, 145//(3), 386-393. https://doi.org/10.1016/j.jad.2012.05.054
Bormann, J.E., Thorp, S.R., Wetherell, J.L., Golshan, S., & Lang, A.J. (2013). Meditation-based mantram intervention for veterans with posttraumatic stress disorder: A randomized trial. //Psychological Trauma: Theory, Research, Practice and Policy, 5//(3), 259-267. https://doi.org/10.1037/a0027522
Clifasefi, S.L., Garry, M., Harper, D.N., Sharman, S.J., & Sutherland, R. (2007). Psychotropic placebos create resistance to the misinformation effect. //Psychonomic Bulletin & Review, 14//(1), 112-117. https://doi.org/10.3758/BF03194037
Williams, J.M.G., Alatiq, Y., Crane, C., Barnhofer, T., Fennell, M.J.V., Duggan, D.S., ... & Goodwin, G.M. (2008). Mindfulness-based cognitive therapy (MBCT) in bipolar disorder: Preliminary evaluation of immediate effects on between-episode functioning. //Journal of Affective Disorders, 107//(1-3), 275-279. https://doi.org/10.1016/j.jad.2007.08.022
Offenbacher, M., Sauer, S., Hieblinger, R., Hufford, D.J., Walach, H., & Kohls, N. (2011). Spirituality and the international classification of functioning, disability and health: Content comparison of questionnaires measuring mindfulness based on the international classification of functioning. //Disability and Rehabilitation, 33//(25-26), 2434-2445. https://doi.org/10.3109/09638288.2011.573902
Bondolfi, G., Jermann, F., Van der Linden, M., Gex-Fabry, M., Bizzini, L., Rouget, B.W., ... & Bertschy, G. (2010). Depression relapse prophylaxis with mindfulness-based cognitive therapy: Replication and extension in the Swiss health care system. //Journal of Affective Disorders, 122//(3), 224-231. https://doi.org/10.1016/j.jad.2009.07.007
Nakamura, Y., Lipschitz, D.L., Kanarowski, E., McCormick, T., Sutherland, D., & Melow-Murchie, M. (2015). Investigating impacts of incorporating an adjuvant mind-body intervention method into treatment as usual at a community-based substance abuse treatment facility: A pilot randomized controlled study. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572489
Forkmann, T., Brakemeier, E.L., Teismann, T., Schramm, E., & Michalak, J. (2016). The effects of mindfulness-based cognitive therapy and cognitive behavioral analysis system of psychotherapy added to treatment as usual on suicidal ideation in chronic depression: Results of a randomized-clinical trial. //Journal of Affective Disorders, 200//, 51-57. https://doi.org/10.1016/j.jad.2016.01.047
Ives-Deliperi, V.L., Howells, F., Stein, D.J., Meintjes, E.M., & Horn, N. (2013). The effects of mindfulness-based cognitive therapy in patients with bipolar disorder: A controlled functional MRI investigation. //Journal of Affective Disorders, 150//(3), 1152-1157. https://doi.org/10.1016/j.jad.2013.05.074
Perich, T., Manicavasagar, V., Mitchell, P.B., & Ball, J.R. (2011). Mindfulness, response styles and dysfunctional attitudes in bipolar disorder. //Journal of Affective Disorders, 134//(42738), 126-132. https://doi.org/10.1016/j.jad.2011.06.004
Feliu-Soler, A., Borras, X., Penarrubia-Maria, M.T., Rozadilla-Sacanell, A., D'Amico, F., Moss-Morris, R., ... & Luciano, J.V. (2016). Cost-utility and biological underpinnings of mindfulness-based stress reduction (MBSR) versus a psychoeducational programme (FibroQoL) for fibromyalgia: A 12-month randomised controlled trial (EUDAIMON study). //BMC Complementary and Alternative Medicine, 16//,81. https://doi.org/10.1186/s12906-016-1068-2
Weber, B., Jermann, F., Gex-Fabry, M., Nallet, A., Bondolfi, G., & Aubry, J.M. (2010). Mindfulness-based cognitive therapy for bipolar disorder: A feasibility trial. //European Psychiatry, 25//(6), 334-337. https://doi.org/10.1016/j.eurpsy.2010.03.007
Deckersbach, T., Holzel, B.K., Eisner, L.R., Stange, J.P., Peckham, A.D., Dougherty, D.D., ... & Nierenberg, A.A. (2012). Mindfulness-based cognitive therapy for nonremitted patients with bipolar disorder. //CNS Neuroscience & Therapeutics, 18//(2), 133-141. https://doi.org/10.1111/j.1755-5949.2011.00236.x
Schramm, P.J., Zobel, I., Monch, K., Schramm, E., & Michalak, J. (2016). Sleep quality changes in chronically depressed patients treated with mindfulness-based cognitive therapy or the cognitive behavioral analysis system of psychotherapy: A pilot study. //Sleep Medicine, 17//, 57-63. https://doi.org/10.1016/j.sleep.2015.09.022
Godfrin, K.A., & van Heeringen, C. (2010). The effects of mindfulness-based cognitive therapy on recurrence of depressive episodes, mental health and quality of life: A randomized controlled study. //Behaviour Research and Therapy, 48//(8), 738-746. https://doi.org/10.1016/j.brat.2010.04.006
Miklowitz, D.J., Alatiq, Y., Goodwin, G.M., Geddes, J.R., Fennell, M.J.V., Dimidjian, S., ... & Williams, J.M.G. (2009). A pilot study of mindfulness-based cognitive therapy for bipolar disorder. //International Journal of Cognitive Therapy, 2//(4), 373-382. https://doi.org/10.1521/ijct.2009.2.4.373
Russell, S.J., & Browne, J.L. (2005). Staying well with bipolar disorder. //Australian and New Zealand Journal of Psychiatry, 39//(3), 187-193. https://doi.org/10.1080/j.1440-1614.2005.01542.x
Tabak, N.T., Green, M.F., Wynn, J.K., Proudfit, G.H., Altshuler, L., & Horan, W.P. (2015). Perceived emotional intelligence is impaired and associated with poor community functioning in schizophrenia and bipolar disorder. //Schizophrenia Research, 162//(1-3), 189-195. https://doi.org/10.1016/j.schres.2014.12.005
Golubickis, M., Tan, L.B.G., Falben, J.K., & Macrae, C.N. (2016). The observing self: Diminishing egocentrism through brief mindfulness meditation. //European Journal of Social Psychology, 46//(4), 521-527. https://doi.org/10.1002/ejsp.2186
Williams, J.M.G., Crane, C., Barnhofer, T., Brennan, K., Duggan, D.S., Fennell, M.J.V., ... & Russell, I.T. (2014). Mindfulness-based cognitive therapy for preventing relapse in recurrent depression: A randomized dismantling trial. //Journal of Consulting and Clinical Psychology, 82//(2), 275-286. https://doi.org/10.1037/a0035036
Murray, G., Leitan, N.D., Berk, M., Thomas, N., Michalak, E., Berk, L., ... & Kyrios, M. (2015). Online mindfulness-based intervention for late-stage bipolar disorder: Pilot evidence for feasibility and effectiveness. //Journal of Affective Disorders, 178//, 46-51. https://doi.org/10.1016/j.jad.2015.02.024
Bowen, S., Witkiewitz, K., Clifasefi, S.L., Grow, J., Chawla, N., Hsu, S.H., ... & Larimer, M.E. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders. //JAMA Psychiatry, 71//(5), 547-556. https://doi.org/10.1001/jamapsychiatry.2013.4546
McMahon, K., Herr, N.R., Zerubavel, N., Hoertel, N., & Neacsiu, A.D. (2016). Psychotherapeutic treatment of bipolar depression. //Psychiatric Clinics of North America, 39//(1), 35-56. https://doi.org/10.1016/j.psc.2015.09.005
Chadwick, P., Kaur, H., Swelam, M., Ross, S., & Ellett, L. (2011). Experience of mindfulness in people with bipolar disorder: A qualitative study. //Psychotherapy Research, 21//(3), 277-285. https://doi.org/10.1080/10503307.2011.565487
Eisner, L., Eddie, D., Harley, R., Jacobo, M., Nierenberg, A.A., & Deckersbach, T. (2017). Dialectical behavior therapy group skills training for bipolar disorder. //Behavior Therapy, 48//(4), 557-566.
Stange, J.P., Eisner, L.R., Holzel, B.K., Peckham, A.D., Dougherty, D.D., Rauch, S.L., ... & Deckersbach, T. (2011). Mindfulness-based cognitive therapy for bipolar disorder: Effects on cognitive functioning. //Journal of Psychiatric Practice, 17//(6), 410-419. https://doi.org/10.1097/01.pra.0000407964.34604.03
Strawn, J.R., Cotton, S., Luberto, C.M., Patino, L.R., Stahl, L.A., Weber, W.A., ... & DelBello, M.P. (2016). Neural function before and after mindfulness-based cognitive therapy in anxious adolescents at risk for developing bipolar disorder. //Journal of Child and Adolescent Psychopharmacology, 26//(4), 372-379. https://doi.org/10.1089/cap.2015.0054
Ducasse, D., Jaussent, I., Guillaume, S., Azorin, J.M., Bellivier, F., Belzeaux, R., ... & Courtet, P. (2017). Affect lability predicts occurrence of suicidal ideation in bipolar patients: A two-year prospective study. //Acta Psychiatrica Scandinavica, 135//(5), 460-469. https://doi.org/10.1111/acps.12710
Thompson, N.J., Patel, A.H., Selwa, L.M., Stoll, S.C., Begley, C.E., Johnson, E.K., ... & Fraser, R.T. (2015). Expanding the efficacy of project uplift: Distance delivery of mindfulness-based depression prevention to people with epilepsy. //Journal of Consulting and Clinical Psychology, 83//(2), 304-313. https://doi.org/10.1037/a0038404
McClintock, A.S., Perlman, M.R., McCarrick, S.M., Anderson, T., & Himawan, L. (2017). Enhancing psychotherapy process with common factors feedback: A randomized, clinical trial. //Journal of Counseling Psychology, 64//(3), 247-260. https://doi.org/10.1037/cou0000188
Strauss, C., Hayward, M., & Chadwick, P. (2012). Group person-based cognitive therapy for chronic depression: A pilot randomized controlled trial. //British Journal of Clinical Psychology, 51//, 345-350. https://doi.org/10.1111/j.2044-8260.2012.02036.x
Weber, B., Sala, L., Gex-Fabry, M., Docteur, A., Gorwood, P., Cordera, P., ... & Mirabel-Sarron, C. (2017). Self-reported long-term benefits of mindfulness-based cognitive therapy in patients with bipolar disorder. //Journal of Alternative and Complementary Medicine, 23//(7), 534-540. https://doi.org/10.1089/acm.2016.0427
Barnhofer, T., Crane, C., Hargus, E., Amarasinghe, M., Winder, R., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy as a treatment for chronic depression: A preliminary study. //Behaviour Research and Therapy, 47//(5), 366-373. https://doi.org/10.1016/j.brat.2009.01.019
Janssen, L., Kan, C.C., Carpentier, P.J., Sizoo, B., Hepark, S., Grutters, J., ... & Speckens, A.E.M. (2015). Mindfulness based cognitive therapy versus treatment as usual in adults with attention deficit hyperactivity disorder (ADHD). //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0591-x
Cotton, S., Luberto, C.M., Sears, R.W., Strawn, J.R., Stahl, L., Wasson, R.S., ... & Delbello, M.P. (2016). Mindfulness-based cognitive therapy for youth with anxiety disorders at risk for bipolar disorder: A pilot trial. //Early Intervention in Psychiatry, 10//(5), 426-434. https://doi.org/10.1111/eip.12216
Kivi, M., Eriksson, M.C.M., Hange, D., Petersson, E.L., Vernmark, K., Johansson, B., ... & Bjorkelund, C. (2014). Internet-based therapy for mild to moderate depression in Swedish primary care: Short term results from the PRIM-NET randomized controlled trial. //Cognitive Behaviour Therapy, 43//(4), 289-298. https://doi.org/10.1080/16506073.2014.921834
Morton, J., Snowdon, S., Gopold, M., & Guymer, E. (2012). Acceptance and commitment therapy group treatment for symptoms of borderline personality disorder: A public sector pilot study. //Cognitive and Behavioral Practice, 19//(4), 527-544.
Lahera, G., Bayon, C., Bravo-Ortiz, M.F., Rodriguez-Vega, B., Barbeito, S., Saenz, M., ... & de Dios, C. (2014). Mindfulness-based cognitive therapy versus psychoeducational intervention in bipolar outpatients with sub-threshold depressive symptoms: A randomized controlled trial. //BMC Psychiatry, 14//. https://doi.org/10.1186/s12888-014-0215-x
Dindo, L., Recober, A., Marchman, J., O' Hara, M.W., & Turvey, C. (2014). One-day behavioral intervention in depressed migraine patients: Effects on headache. //Headache, 54//(3), 528-538. https://doi.org/10.1111/head.12258
Chien, W.T., Bressington, D., Yip, A., & Karatzias, T. (2017). An international multi-site, randomized controlled trial of a mindfulness-based psychoeducation group programme for people with schizophrenia. //Psychological Medicine, 47//(12), 2081-2096. https://doi.org/10.1017/S0033291717000526
Kingston, T., Dooley, B., Bates, A., Lawlor, E., & Malone, K. (2007). Mindfulness-based cognitive therapy for residual depressive symptoms. //Psychology and Psychotherapy: Theory, Research and Practice, 80//, 193-203. https://doi.org/10.1348/147608306X116016
Williams, J.M.G., Russell, I.T., Crane, C., Russell, D., Whitaker, C.J., Duggan, D.S., ... & Silverton, S. (2010). Staying well after depression: Trial design and protocol. //BMC Psychiatry, 10//. https://doi.org/10.1186/1471-244X-10-23
Lau, M.A., Bishop, S.R., Segal, Z.V., Buis, T., Anderson, N.D., Carlson, L., ... & Devins, G. (2006). The toronto mindfulness scale: Development and validation. //Journal of Clinical Psychology, 62//(12), 1445-1467. https://doi.org/10.1002/jclp.20326
Butryn, M.L., Arigo, D., Raggio, G.A., Kaufman, A.I., Kerrigan, S.G., & Forman, E.M. (2015). Measuring the ability to tolerate activity-related discomfort: Initial validation of the Physical Activity Acceptance Questionnaire (PAAQ). //Journal of Physical Activity & Health, 12//(5), 717-726. https://doi.org/10.1123/jpah.2013-0338
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2016). Staying well during pregnancy and the postpartum: A pilot randomized trial of mindfulness-based cognitive therapy for the prevention of depressive relapse/recurrence. //Journal of Consulting and Clinical Psychology, 84//(2), 134-145. https://doi.org/10.1037/ccp0000068
Miklowitz, D.J. (2011). Functional impairment, stress, and psychosocial intervention in bipolar disorder. //Current Psychiatry Reports, 13//(6), 504-512. https://doi.org/10.1007/s11920-011-0227-x
Marcus, M.T., Schmitz, J., Moeller, G., Liehr, P., Cron, S.G., Swank, P., ... & Granmayeh, L.K. (2009). Mindfulness-based stress reduction in therapeutic community treatment: A Stage 1 Trial. //American Journal of Drug and Alcohol Abuse, 35//(2), 103-108. https://doi.org/10.1080/00952990902823079
Sampl, J., Maran, T., & Furtner, M.R. (2017). A randomized controlled pilot intervention study of a mindfulness-based self-leadership training (MBSLT) on stress and performance. //Mindfulness, 8//(5), 1393-1407. https://doi.org/10.1007/s12671-017-0715-0
Poehlmann-Tynan, J., Vigna, A.B., Weymouth, L.A., Gerstein, E.D., Burnson, C., Zabransky, M., ... & Zahn-Waxler, C. (2016). A pilot study of contemplative practices with economically disadvantaged preschoolers: Children's empathic and self-regulatory behaviors. //Mindfulness, 7//(1), 46-58. https://doi.org/10.1007/s12671-015-0426-3
Stelter, R. (2010). Experience-based, body-anchored qualitative research interviewing. //Qualitative Health Research, 20//(6), 859-867. https://doi.org/10.1177/1049732310364624
Heffner, K.L., Crean, H.F., & Kemp, J.E. (2016). Meditation programs for veterans with posttraumatic stress disorder: Aggregate findings from a multi-site evaluation. //Psychological Trauma: Theory, Research, Practice and Policy, 8//(3), 365-374. https://doi.org/10.1037/tra0000106
Owen, M., Sellwood, W., Kan, S., Murray, J., & Sarsam, M. (2015). Group CBT for psychosis: A longitudinal, controlled trial with inpatients. //Behaviour Research and Therapy, 65//, 76-85. https://doi.org/10.1016/j.brat.2014.12.008
Bowen, S., Chawla, N., Collins, S.E., Witkiewitz, K., Hsu, S., Grow, J., ... & Marlatt, A. (2009). Mindfulness-based relapse prevention for substance use disorders: A pilot efficacy trial. //Substance Abuse, 30//(4), 295-305. https://doi.org/10.1080/08897070903250084
Howells, F.M., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2012). Mindfulness based cognitive therapy improves frontal control in bipolar disorder: A pilot EEG study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-15
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Chan, J., & Winton, A.S.W. (2016). Effectiveness of caregiver training in mindfulness-based positive behavior support (MBPBS) vs. training-as-usual (TAU): A randomized controlled trial. //Frontiers in Psychology, 7//,1549. https://doi.org/10.3389/fpsyg.2016.01549
van Aalderen, J.R., Donders, A.R.T., Giommi, F., Spinhoven, P., Barendregt, H.P., & Speckens, A.E.M. (2012). The efficacy of mindfulness-based cognitive therapy in recurrent depressed patients with and without a current depressive episode: A randomized controlled trial. //Psychological Medicine, 42//(5), 989-1001. https://doi.org/10.1017/S0033291711002054
Sundquist, J., Palmer, K., Johansson, L.M., & Sundquist, K. (2017). The effect of mindfulness group therapy on a broad range of psychiatric symptoms: A randomised controlled trial in primary health care. //European Psychiatry, 43//, 19-27. https://doi.org/10.1016/j.eurpsy.2017.01.328
Malouf, E.T., Youman, K., Stuewig, J., Witt, E.A., & Tangney, J.P. (2017). A pilot RCT of a values-based mindfulness group intervention with jail inmates: Evidence for reduction in post-release risk behavior. //Mindfulness, 8//(3), 603-614. https://doi.org/10.1007/s12671-016-0636-3
Fointiat, V., Somat, A., & Grosbras, J.M. (2011). Saying, but not doing: Induced hypocrisy, trivialization, and misattribution. //Social Behavior and Personality, 39//(4), 465-475. https://doi.org/10.2224/sbp.2011.39.4.465
Hargus, E., Crane, C., Barnhofer, T., & Williams, J.M.G. (2010). Effects of mindfulness on meta-awareness and specificity of describing prodromal symptoms in suicidal depression. //Emotion, 10//(1), 34-42. https://doi.org/10.1037/a0016825
Zemestani, M., & Ottaviani, C. (2016). Effectiveness of mindfulness-based relapse prevention for co-occurring substance use and depression disorders. //Mindfulness, 7//(6), 1347-1355. https://doi.org/10.1007/s12671-016-0576-y
Garland, E.L., Roberts-Lewis, A., Tronnier, C.D., Graves, R., & Kelley, K. (2016). Mindfulness-oriented recovery enhancement versus CBT for co-occurring substance dependence, traumatic stress, and psychiatric disorders: Proximal outcomes from a pragmatic randomized trial. //Behaviour Research and Therapy, 77//, 7-16. https://doi.org/10.1016/j.brat.2015.11.012
Omidi, A., & Zargar, F. (2015). Effects of mindfulness-based stress reduction on perceived stress and psychological health in patients with tension headache. //Journal of Research in Medical Sciences, 20//(11).
Schuling, R., Huijbers, M.J., van Ravesteijn, H., Donders, R., Kuyken, W., & Speckens, A.E.M. (2016). A parallel-group, randomized controlled trial into the effectiveness of Mindfulness-Based Compassionate Living (MBCL) compared to treatment-as-usual in recurrent depression: Trial design and protocol. //Contemporary Clinical Trials, 50//, 77-83. https://doi.org/10.1016/j.cct.2016.07.014
Cladder-Micus, M.B., Vrijsen, J.N., Becker, E.S., Donders, R., Spijker, J., & Speckens, A.E.M. (2015). A randomized controlled trial of Mindfulness-Based Cognitive Therapy (MBCT) versus treatment-as-usual (TAU) for chronic, treatment-resistant depression: Study protocol //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0647-y
Smith, S.E., Barnes, E.S., Mason, J., & Broome, J. (2016). Place, workplace, and mindful movement. //Learning Communities-international Journal of Learning in Social Contexts, 20//, 4-19. http://doi.org/10.18793/LCJ2016.20.02
Omidi, A., Mohammadkhani, P., Mohammadi, A., & Zargar, F. (2013). Comparing mindfulness based cognitive therapy and traditional cognitive behavior therapy with treatments as usual on reduction of major depressive disorder symptoms. //Iranian Red Crescent Medical Journal, 15//(2), 142-146. https://doi.org/10.5812/ircmj.8018
[img[tps16.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Im, H.J., Kim, Y.J., Kim, H.G., Kim, H.S., & Son, C.G. (2015). //Kouksundo//, a traditional Korean mind-body practice, regulates oxidative stress profiles and stress hormones. //Physiology & Behavior, 141//, 9-16. https://doi.org/10.1016/j.physbeh.2014.12.049
Creswell, J.D., Irwin, M.R., Burklund, L.J., Lieberman, M.D., Arevalo, J.M.G., Ma, J., ... & Cole, S.W. (2012). Mindfulness-based stress reduction training reduces loneliness and pro-inflammatory gene expression in older adults: A small randomized controlled trial. //Brain Behavior and Immunity, 26//(7), 1095-1101. https://doi.org/10.1016/j.bbi.2012.07.006
Cahn, B.R., Goodman, M.S., Peterson, C.T., Maturi, R., & Mills, P.J. (2017). Yoga, meditation and mind-body health: Increased BDNF, cortisol awakening response, and altered inflammatory marker expression after a 3-month yoga and meditation retreat. //Frontiers in Human Neuroscience, 11//, 315. https://doi.org/10.3389/fnhum.2017.00315
Kaliman, P., Alvarez-Lopez, M.J., Cosin-Tomas, M., Rosenkranz, M.A., Lutz, A., & Davidson, R.J. (2014). Rapid changes in histone deacetylases and inflammatory gene expression in expert meditators. //Psychoneuroendocrinology, 40//, 96-107. https://doi.org/10.1016/j.psyneuen.2013.11.004
Jang, J.H., Park, H.Y., Lee, U.S., Lee, K.J., & Kang, D.H. (2017). Effects of mind-body training on cytokines and their interactions with catecholamines. //Psychiatry Investigation, 14//(4), 483-490. https://doi.org/10.4306/pi.2017.14.4.483
Chen, J., Yu, J., Liu, Y.J., Zhang, L.L., & Zhang, J.X. (2015). BDNF Val66Met, stress, and positive mothering: Differential susceptibility model of adolescent trait anxiety. //Journal of Anxiety Disorders, 34//, 68-75. https://doi.org/10.1016/j.janxdis.2015.06.001
Koh, K.B., Lee, Y.J., Beyn, K.M., Chu, S.H., Kim, D.M., & Seo, W.Y. (2012). Effects of high and low stress on proinflammatory and antiinflammatory cytokines. //Psychophysiology, 49//(9), 1290-1297. https://doi.org/10.1111/j.1469-8986.2012.01409.x
Malarkey, W.B., Jarjoura, D., & Klatt, M. (2013). Workplace based mindfulness practice and inflammation: A randomized trial. //Brain Behavior and Immunity, 27//, 145-154. https://doi.org/10.1016/j.bbi.2012.10.009
Lim, S.A., & Cheong, K.J. (2015). Regular yoga practice improves antioxidant status, immune function, and stress hormone releases in young healthy people: A randomized, double-blind, controlled pilot study. //Journal of Alternative and Complementary Medicine, 21//(9), 530-538. https://doi.org/10.1089/acm.2014.0044
Rosenkranz, M.A., Lutz, A., Perlman, D.M., Bachhuber, D.R.W., Schuyler, B.S., MacCoon, D.G., ... & Davidson, R.J. (2016). Reduced stress and inflammatory responsiveness in experienced meditators compared to a matched healthy control group. //Psychoneuroendocrinology, 68//, 117-125. https://doi.org/10.1016/j.psyneuen.2016.02.013
Walsh, E., Eisenlohr-Moul, T., & Baer, R. (2016). Brief mindfulness training reduces salivary IL-6 and TNF-α in young women with depressive symptomatology. //Journal of Consulting and Clinical Psychology, 84//(10), 887-897. https://doi.org/10.1037/ccp0000122
Landsman-Dijkstra, J.J.A., van Wijck, R., & Groothoff, J.W. (2006). The long-term lasting effectiveness on self-efficacy, attribution style, expression of emotions and quality of life of a body awareness program for chronic a-specific psychosomatic symptoms. //Patient Education and Counseling, 60//(1), 66-79. https://doi.org/10.1016/j.pec.2004.12.003
Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Meditation awareness training for individuals with fibromyalgia syndrome: An interpretative phenomenological analysis of participants' experiences. //Mindfulness, 7//(2), 409-419. https://doi.org/10.1007/s12671-015-0458-8
Bakker, J.M., Lieverse, R., Menne-Lothmann, C., Viechtbauer, W., Pishva, E., Kenis, G., ... & Wichers, M. (2014). Therapygenetics in mindfulness-based cognitive therapy: Do genes have an impact on therapy-induced change in real-life positive affective experiences?. //Translational Psychiatry, 4//. https://doi.org/10.1038/tp.2014.23
Hakansson, K., Ledreux, A., Daffner, K., Terjestam, Y., Bergman, P., Carlsson, R., ... & Mohammed, A.K.H. (2017). BDNF responses in healthy older persons to 35 minutes of physical exercise, cognitive training, and mindfulness: Associations with working memory function. //Journal of Alzheimers Disease, 55//(2), 645-657. https://doi.org/10.3233/JAD-160593
Feliu-Soler, A., Borras, X., Penarrubia-Maria, M.T., Rozadilla-Sacanell, A., D'Amico, F., Moss-Morris, R., ... & Luciano, J.V. (2016). Cost-utility and biological underpinnings of mindfulness-based stress reduction (MBSR) versus a psychoeducational programme (FibroQol) for fibromyalgia: A 12-month randomised controlled trial (EUDAIMON study). //BMC Complementary and Alternative Medicine, 16//,81. https://doi.org/10.1186/s12906-016-1068-2
Jung, Y.H., Kang, D.H., Jang, J.H., Park, H.Y., Byun, M.S., Kwon, S.J., ... & Kwon, J.S. (2010). The effects of mind-body training on stress reduction, positive affect, and plasma catecholamines. //Neuroscience Letters, 479//(2), 138-142. https://doi.org/10.1016/j.neulet.2010.05.048
Isgett, S.F., Algoe, S.B., Boulton, A.J., Way, B.M., & Fredrickson, B.L. (2016). Common variant in //OXTR// predicts growth in positive emotions from loving-kindness training. //Psychoneuroendocrinology, 73//, 244-251. https://doi.org/10.1016/j.psyneuen.2016.08.010
Memon, A.A., Sundquist, K., Ahmad, A., Wang, X., Hedelius, A., & Sundquist, J. (2017). Role of IL-8, CRP and epidermal growth factor in depression and anxiety patients treated with mindfulness-based therapy or cognitive behavioral therapy in primary health care. //Psychiatry Research, 254//, 311-316. https://doi.org/10.1016/j.psychres.2017.05.012
Bernhardt, B.A., Silver, R., Rushton, C.H., Micco, E., & Geller, G. (2010). What keeps you up at night? Genetics professionals' distressing experiences in patient care. //Genetics in Medicine, 12//(5), 289-297. https://doi.org/10.1097/GIM.0b013e3181db82d9
Waszczuk, M.A., Zavos, H.M.S., Antonova, E., Haworth, C.M., Plomin, R., & Eley, T.C. (2015). A multivariate twin study of trait mindfulness, depressive symptoms, and anxiety sensitivity. //Depression and Anxiety, 32//(4), 254-261. https://doi.org/10.1002/da.22326
Bongi, S.M., Del Rosso, A., Di Felice, C., Cala, M., & Dal Ben, G.G. (2012). Rességuier method and Qi Gong sequentially integrated in patients with fibromyalgia syndrome. //Clinical and Experimental Rheumatology, 30//(6), S51-S58.
Lengacher, C.A., Reich, R.R., Kip, K.E., Paterson, C.L., Park, H.Y., Ramesar, S., ... & Park, J.Y. (2015). Moderating effects of genetic polymorphisms on improvements in cognitive impairment in breast cancer survivors participating in a 6-week mindfulness-based stress reduction program. //Biological Research for Nursing, 17//(4), 393-404. https://doi.org/10.1177/1099800415577633
Reich, R.R., Lengacher, C.A., Klein, T.W., Newton, C., Shivers, S., Ramesar, S., ... & Kip, K.E. (2017). A randomized controlled trial of the effects of mindfulness-based stress reduction (MBSR[BC]) on levels of inflammatory biomarkers among recovering breast cancer survivors. //Biological Research for Nursing, 19//(4), 456-464. https://doi.org/10.1177/1099800417707268
Rosenkranz, M.A., Davidson, R.J., MacCoon, D.G., Sheridan, J.F., Kalin, N.H., & Lutz, A. (2013). A comparison of mindfulness-based stress reduction and an active control in modulation of neurogenic inflammation. //Brain Behavior and Immunity, 27//, 174-184. https://doi.org/10.1016/j.bbi.2012.10.013
Landsman-Dijkstra, J.J.A., van Wijck, R., & Groothoff, J.W. (2006). Improvement of balance between work stress and recovery after a body awareness program for chronic aspecific psychosomatic symptoms. //Patient Education and Counseling, 60//(2), 125-135. https://doi.org/10.1016/j.pec.2004.12.004
Ravnik-Glavac, M., Hrasovec, S., Bon, J., Dreu, J., & Glavac, D. (2012). Genome-wide expression changes in a higher state of consciousness. //Consciousness and Cognition, 21//(3), 1322-1344. https://doi.org/10.1016/j.concog.2012.06.003
Cousin, G., & Page, D. (2015). Does patients' pretreatment trait-mindfulness predict the success of cognitive psychotherapy for emotion regulation? //Mindfulness, 6//(2), 186-191. https://doi.org/10.1007/s12671-013-0243-5
Hodapp, R.M., & Dykens, E.M. (2012). Genetic disorders of intellectual disability: Expanding our concepts of phenotypes and of family outcomes. //Journal of Genetic Counseling, 21//(6), 761-769. https://doi.org/10.1007/s10897-012-9536-4
Wichers, M.C., Myin-Germeys, I., Jacobs, N., Peeters, F., Kenis, G., Derom, C., ... & van Os, J. (2007). Evidence that moment-to-moment variation in positive emotions buffer genetic risk for depression: A momentary assessment twin study. //Acta Psychiatrica Scandinavica, 115//(6), 451-457. https://doi.org/10.1111/j.1600-0447.2006.00924.x
Murakami, H., Matsunaga, M., & Ohira, H. (2009). Association of serotonin transporter gene polymorphism and emotion regulation. //NeuroReport, 20//(4), 414-418. https://doi.org/10.1097/WNR.0b013e328325a910
Lee, D.H., Park, H.Y., Lee, U.S., Lee, K.J., Noh, E.C., Jang, J.H., ... & Kang, D.H. (2015). The effects of brain wave vibration on oxidative stress response and psychological symptoms. //Comprehensive Psychiatry, 60//, 99-104. https://doi.org/10.1016/j.comppsych.2015.03.003
Larouche, E., Hudon, C., & Goulet, S. (2015). Potential benefits of mindfulness-based interventions in mild cognitive impairment and Alzheimer's disease: An interdisciplinary perspective. //Behavioural Brain Research, 276//, 199-212. https://doi.org/10.1016/j.bbr.2014.05.058
Duschek, S., Werner, N.S., Limbert, N., Winkelmann, A., & Montoya, P. (2014). Attentional bias toward negative information in patients with fibromyalgia syndrome. //Pain Medicine, 15//(4), 603-612. https://doi.org/10.1111/pme.12360
Hinterberger, T., Auer, J., Schmidt, S., & Loew, T. (2013). Evaluation of a salutogenetic concept for inpatient psychosomatic treatment. //Evidence-based Complementary and Alternative Medicine//, 735731. https://doi.org/10.1155/2013/735731
Fang, C.Y., Reibel, D.K., Longacre, M.L., Rosenzweig, S., Campbell, D.E., & Douglas, S.D. (2010). Enhanced psychosocial well-being following participation in a mindfulness-based stress reduction program is associated with increased natural killer cell activity. //Journal of Alternative and Complementary Medicine, 16//(5), 531-538. https://doi.org/10.1089/acm.2009.0018
Sullivan, P.F., Eaves, L.J., Kendler, K.S., & Neale, M.C. (2001). Genetic case-control association studies in neuropsychiatry. //Archives of General Psychiatry, 58//(11), 1015-1024. https://doi.org/10.1001/archpsyc.58.11.1015
Nilsson, H. (2017). Cultivating mindfulness through the practice of //Iaidō//. //Contemporary Buddhism, 18//(1), 37-46. https://doi.org/10.1080/14639947.2017.1297343
Landsman-Dijkstra, J.J.A., van Wijck, R., Groothoff, J.W., & Rispens, P. (2004). The short-term effects of a body awareness program: Better self-management of health problems for individuals with chronic a-specific psychosomatic symptoms. //Patient Education and Counseling, 55//(2), 155-167. https://doi.org/10.1016/j.pec.2004.02.014
Van Gordon, W., Shonin, E., Dunn, T.J., Garcia-Campayo, J., & Griffiths, M.D. (2017). Meditation awareness training for the treatment of fibromyalgia syndrome: A randomized controlled trial. //British Journal of Health Psychology, 22//(1), 186-206. https://doi.org/10.1111/bjhp.12224
Sanada, K., Diez, M.A., Valero, M.S., Perez-Yus, M.C., Demarzo, M.M.P., Montero-Marin, J., ... & Garcia-Campayo, J. (2017). Effects of mindfulness-based interventions on biomarkers in healthy and cancer populations: A systematic review. //BMC Complementary and Alternative Medicine, 17//. https://doi.org/10.1186/s12906-017-1638-y
[img[tps17.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Grammer, A.C., Ryals, M.M., Heuer, S.E., Robl, R.D., Madamanchi, S., Davis, L.S., ... & Lipsky, P.E. (2016).Drug repositioning in SLE: crowd-sourcing, literature-mining and Big Data analysis. //Lupus, 25//(10), 1150-1170. https://doi.org/10.1177/0961203316657437
Price-Blackshear, M.A., Kamble, S.V., Mudhol, V., Sheldon, K.M., & Bettencourt, B.A. (2017). Mindfulness practices moderate the association between Intergroup anxiety and Outgroup attitudes. //Mindfulness, 8//(5), 1172-1183. https://doi.org/10.1007/s12671-017-0689-y
Leary, M.R., Adams, C.E., & Tate, E.B. (2006). Hypo-Egoic self-regulation: Exercising self-control by diminishing the influence of the self. //Journal of Personality, 74//(6), 1803-1831. https://doi.org/10.1111/j.1467-6494.2006.00429.x
Baquedano, C., Vergara, R., Lopez, V., Fabar, C., Cosmelli, D., & Lutz, A. (2017). Compared to self-immersion, mindful attention reduces salivation and automatic food bias. //Scientific Reports, 7//. https://doi.org/10.1038/s41598-017-13662-z
Horesh, D., Glick, I., Taub, R., Agmon-Levin, N., & Shoenfeld, Y. (2017). Mindfulness-based group therapy for systemic lupus erythematosus: A first exploration of a promising mind-body intervention. //Complementary Therapies in Clinical Practice, 26//, 73-75. https://doi.org/10.1016/j.ctcp.2016.11.011
Glicksohn, J., Berkovich-Ohana, A., Mauro, F., & Ben-Soussan, T.D. (2017). Time perception and the experience of time when immersed in an altered sensory environment. //Frontiers in Human Neuroscience, 11//, 487. https://doi.org/10.3389/fnhum.2017.00487
Cohen, M., & Fried, G. (2007). Comparing relaxation training and cognitive-behavioral group therapy for women with breast cancer. //Research on Social Work Practice, 17//(3), 313-323. https://doi.org/10.1177/1049731506293741
Till, S.R., Wahl, H.N., & As-Sanie, S. (2017). The role of nonpharmacologic therapies in management of chronic pelvic pain: What to do when surgery fails. //Current Opinion in Obstetrics & Gynecology, 29//(4), 231-239. https://doi.org/10.1097/GCO.0000000000000376
Panta, P. (2017). The possible role of meditation in myofascial pain syndrome: A new hypothesis. //Indian Journal of Palliative Care, 23//(2), 180-187. https://doi.org/10.4103/0973-1075.204239
Froeliger, B., Garland, E.L., Kozink, R.V., Modlin, L.A., Chen, N.K., McClernon, F.J., ... & Sobin, P. (2012). Meditation-state functional connectivity (msFC): Strengthening of the dorsal attention network and beyond. //Evidence-based Complementary and Alternative Medicine//, 680407. https://doi.org/10.1155/2012/680407
Lebois, L.A.M., Papies, E.K., Gopinath, K., Cabanban, R., Quigley, K.S., Krishnamurthy, V., ... & Barsalou, L.W. (2015). A shift in perspective: Decentering through mindful attention to imagined stressful events. //Neuropsychologia, 75//, 505-524. https://doi.org/10.1016/j.neuropsychologia.2015.05.030
Brunye, T.T., Mahoney, C.R., Giles, G.E., Rapp, D.N., Taylor, H.A., & Kanarek, R.B. (2013). Learning to relax: Evaluating four brief interventions for overcoming the negative emotions accompanying math anxiety. //Learning and Individual Differences, 27//, 1-7. https://doi.org/10.1016/j.lindif.2013.06.008
Goldwin, M., & Behar, E. (2012). Concreteness of Idiographic periods of worry and depressive rumination. //Cognitive Therapy and Research, 36//(6), 840-846. https://doi.org/10.1007/s10608-011-9428-1
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Felver, J.C., Myers, R.E., & Nugent, K. (2016). Effects of Samatha meditation on active academic engagement and math performance of students with attention deficit/hyperactivity disorder. //Mindfulness, 7//(1), 68-75. https://doi.org/10.1007/s12671-015-0424-5
Fox, S.D., Flynn, E., & Allen, R.H. (2011). Mindfulness meditation for women with chronic pelvic pain: A pilot study. //Journal of Reproductive Medicine, 56//(3-4), 158-162. https://www.ncbi.nlm.nih.gov/pubmed/21542535
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Lovingkindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology: General, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
Tincher, M.M., Lebois, L.A.M., & Barsalou, L.W. (2016). Mindful attention reduces linguistic Intergroup bias. //Mindfulness, 7//(2), 349-360. https://doi.org/10.1007/s12671-015-0450-3
Pinazo, D., & Breso, E. (2017). The effects of a self-observation-based meditation intervention on acceptance or rejection of the other. //International Journal of Psychology, 52//(4), 300-307. https://doi.org/10.1002/ijop.12223
Mantzios, M., & Wilson, J.C. (2014). Making concrete construals mindful: A novel approach for developing mindfulness and self-compassion to assist weight loss. //Psychology & Health, 29//(4), 422-441. https://doi.org/10.1080/08870446.2013.863883
Oluyinka, O. (2011). Psychological predictors of attitude towards seeking professional psychological help in a Nigerian university student population. //South African Journal of Psychology, 41//(3), 310-327. https://doi.org//10.1177/008124631104100306
Parks, S., Birtel, M.D., & Crisp, R.J. (2014). Evidence that a brief meditation exercise can reduce prejudice toward homeless people. //Social Psychology, 45//(6), 458-465. https://doi.org/10.1027/1864-9335/a000212
Zeidan, F., Gordon, N.S., Merchant, J., & Goolkasian, P. (2010). The effects of brief mindfulness meditation training on experimentally induced pain. //Journal of Pain, 11//(3), 199-209. https://doi.org/10.1016/j.jpain.2009.07.015
van Vugt, M.K., & Jha, A.P. (2011). Investigating the impact of mindfulness meditation training on working memory: A mathematical modeling approach. //Cognitive Affective & Behavioral Neuroscience, 11//(3), 344-353. https://doi.org/10.3758/s13415-011-0048-8
MacDonald, E.E., Hastings, R.P., & Fitzsimons, E. (2010). Psychological acceptance mediates the impact of the behaviour problems of children with intellectual disability on fathers' psychological adjustment. //Journal of Applied Research in Intellectual Disabilities, 23//(1), 27-37. https://doi.org/10.1111/j.1468-3148.2009.00546.x
Chinn, P.W.U. (2015). Place and culture-based professional development: Cross-hybrid learning and the construction of ecological mindfulness. //Cultural Studies of Science Education, 10//(1), 121-134. https://doi.org/10.1007/s11422-014-9585-0
Crisp, C.D., Hastings-Tolsma, M., & Jonscher, K.R. (2016). Mindfulness-based stress reduction for military women with chronic pelvic pain: A feasibility study. //Military Medicine, 181//(9), 982-989. https://doi.org/10.7205/MILMED-D-15-00354
Bellinger, D.B., DeCaro, M.S., & Ralston, P.A.S. (2015). Mindfulness, anxiety, and high-stakes mathematics performance in the laboratory and classroom. //Consciousness and Cognition, 37//, 123-132. https://doi.org/10.1016/j.concog.2015.09.001
Perenc, L., & Radochonski, M. (2016). Psychological predictors of seeking help from mental health practitioners among a large sample of Polish young adults. //International Journal of Environmental Research and Public Health, 13//(11), 1049. https://doi.org/10.3390/ijerph13111049
Schiestel, L., & Schonbrodt, F.D. (2016). Does the experience of presence restore self-control? //Self and Identity, 15//(3), 327-341. https://doi.org/10.1080/15298868.2015.1132758
Anglin, L.P., Pirson, M., & Langer, E. (2008). Mindful learning: A moderator of gender differences in mathematics performance. //Journal of Adult Development, 15//(42798), 132-139. https://doi.org/10.1007/s10804-008-9043-x
Kross, E., Ayduk, O., & Mischel, W. (2005). When asking "why" does not hurt. Distinguishing rumination from reflective processing of negative emotions. //Psychological Science, 16//(9), 709-715. https://doi.org/10.1111/j.1467-9280.2005.01600.x
Pinazo, D., & Vazquez, C. (2014). The effect of meditation based on self-observation on cognitive responses in conflictive social interaction. //Nordic Psychology, 66//(3), 202-215. https://doi.org/10.1080/19012276.2014.935460
Bayer, J.B., Dal Cin, S., Campbell, S.W., & Panek, E. (2016). Consciousness and self-regulation in mobile communication. //Human Communication Research, 42//(1), 71-97. https://doi.org/10.1111/hcre.12067
Cramer, H., Lauche, R., Moebus, S., Michalsen, A., Langhorst, J., Dobos, G., ... & Paul, A. (2014). Predictors of health behavior change after an integrative medicine inpatient program. //International Journal of Behavioral Medicine, 21//(5), 775-783. https://doi.org/10.1007/s12529-013-9354-6
Crescentini, C., Chittaro, L., Capurso, V., Sioni, R., & Fabbro, F. (2016). Psychological and physiological responses to stressful situations in immersive virtual reality: Differences between users who practice mindfulness meditation and controls. //Computers in Human Behavior, 59//, 304-316. https://doi.org/10.1016/j.chb.2016.02.031
Liss, M., & Erchull, M.J. (2015). Not hating what you see: Self-compassion may protect against negative mental health variables connected to self-objectification in college women. //Body Image, 14//, 5-12. https://doi.org/10.1016/j.bodyim.2015.02.006
Lotzke, D., Wiedemann, F., Recchia, D.R., Ostermann, T., Sattler, D., Ettl, J., ... & Bussing, A. (2016).Iyengar-Yoga compared to exercise as a therapeutic intervention during (Neo)adjuvant Therapy in Women with Stage I–III breast cancer: Health-related quality of life, mindfulness, spirituality, life satisfaction, and cancer-related fatigue. //Evidence-based Complementary and Alternative Medicine//, 5931816. https://doi.org/10.1155/2016/5931816
[img[tps18.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Miranda, D., & Kim, J. (2015). Peer contagion, lenient legal-ethical position, and music piracy intentions in emerging adults: Mindfulness as a protective factor. //Musicae Scientiae, 19//(1), 3-22. https://doi.org/10.1177/1029864914550665
Serrano, T., & Espirito-Santo, H.A. (2017). Music, ballet, mindfulness, and psychological inflexibility. //Psychology of Music, 45//(5), 725-738. https://doi.org/10.1177/0305735616689298
Warth, M., Kessler, J., Koenig, J., Wormit, A.F., Hillecke, T.K., & Bardenheuer, H.J. (2014). Music therapy to promote psychological and physiological relaxation in palliative care patients: Protocol of a randomized controlled trial. //BMC Palliative Care, 13//. https://doi.org/10.1186/1472-684X-13-60
Juncos, D.G., Heinrichs, G.A., Towle, P., Duffy, K., Grand, S.M., Morgan, M.C., ... & Kalkus, E. (2017). Acceptance and commitment therapy for the treatment of music performance anxiety: A pilot study with student vocalists. //Frontiers in Psychology, 8//, 986. https://doi.org/10.3389/fpsyg.2017.00986
Warth, M., Kessler, J., Hillecke, T.K., & Bardenheuer, H.J. (2016). Trajectories of terminally ill patients' cardiovascular response to receptive music therapy in palliative care. //Journal of Pain and Symptom Management, 52//(2), 196-204. https://doi.org/10.1016/j.jpainsymman.2016.01.008
Lucena-Santos, P., Carvalho, S., Pinto-Gouveia, J., Gillanders, D., & Oliveira, M.S. (2017). Cognitive fusion questionnaire: Exploring measurement invariance across three groups of Brazilian women and the role of cognitive fusion as a mediator in the relationship between rumination and depression. //Journal of Contextual Behavioral Science, 6//(1), 53-62. https://doi.org/10.1016/j.jcbs.2017.02.004
Innes, K.E., Selfe, T.K., Khalsa, D.S., & Kandati, S. (2017). Meditation and music improve memory and cognitive function in adults with subjective cognitive decline: A pilot randomized controlled trial. //Journal of Alzheimer's Disease, 56//(3), 899-916. https://doi.org/10.3233/JAD-160867
Juncos, D.G., & Markman, E.J. (2016). Acceptance and commitment therapy for the treatment of music performance anxiety: A single subject design with a university student. //Psychology of Music, 44//(5), 935-952. https://doi.org/10.1177/0305735615596236
Gillanders, D.T., Bolderston, H., Bond, F.W., Dempster, M., Flaxman, P.E., Campbell, L., ... & Remington, B. (2014). The development and initial validation of the cognitive fusion questionnaire. //Behavior Therapy, 45//(1), 83-101.
Costa, J.A., Maroco, J., & Pinto-Gouveia, J. (2017). Validation of the psychometric properties of cognitive fusion questionnaire. A study of the factorial validity and factorial invariance of the measure among osteoarticular disease, diabetes mellitus, obesity, depressive disorder, and general populations. //Clinical Psychology & Psychotherapy, 24//(5), 1121-1129. https://doi.org/10.1002/cpp.2077
Sole, E., Racine, M., Castarlenas, E., de la Vega, R., Tome-Pires, C., Jensen, M., ... & Miro, J. (2016). The psychometric properties of the Cognitive Fusion Questionnaire in adolescents. //European Journal of Psychological Assessment, 32//(3), 181-186. https://doi.org/10.1027/1015-5759/a000244
Ruiz, F.J., Suarez-Falcon, J.C., Riano-Hernandez, D., & Gillanders, D. (2017). Psychometric properties of the Cognitive Fusion Questionnaire in Colombia. //Revista Latinoamericana De Psicologia, 49//(1), 80-87. https://doi.org/10.1016/j.rlp.2016.09.006
Stange, J.P., Hamilton, J.L., Fresco, D.M., & Alloy, L.B. (2017). Perseverate or decenter? Differential effects of metacognition on the relationship between parasympathetic inflexibility and symptoms of depression in a multi-wave study. //Behaviour Research and Therapy, 97//, 123-133. https://doi.org/10.1016/j.brat.2017.07.007
Kim, B.O., & Cho, S. (2015). Psychometric properties of a Korean version of the Cognitive Fusion Questionnaire. //Social Behavior and Personality, 43//(10), 1715-1724. https://doi.org/10.2224/sbp.2015.43.10.1715
Muris, P., Meesters, C., Herings, A., Jansen, M., Vossen, C., & Kersten, P. (2017). Inflexible youngsters: Psychological and psychopathological correlates of the Avoidance and Fusion Questionnaire for youths in nonclinical Dutch adolescents. //Mindfulness, 8//(5), 1381-1392. https://doi.org/10.1007/s12671-017-0714-1
Tan, L.F., Dienes, Z., Jansari, A., & Goh, S.Y. (2014). Effect of mindfulness meditation on brain-computer interface performance. //Consciousness and Cognition, 23//, 12-21. https://doi.org/10.1016/j.concog.2013.10.010
Lin, P., Chang, J., Zemon, V., & Midlarsky, E. (2008). Silent illumination: A study on Chan (Zen) meditation, anxiety, and musical performance quality. //Psychology of Music, 36//(2), 139-155. https://doi.org/10.1177/0305735607080840
Kato, T. (2016). Psychological inflexibility and depressive symptoms among Asian English speakers: A study on Indian, Philippine, and Singaporean samples. //Psychiatry Research, 238//, 1-7. https://doi.org/10.1016/j.psychres.2016.02.007
Cox, A.E., Ullrich-French, S., Cole, A.N., & D'Hondt-Taylor, M. (2016). The role of state mindfulness during yoga in predicting self-objectification and reasons for exercise. //Psychology of Sport and Exercise, 22//, 321-327. https://doi.org/10.1016/j.psychsport.2015.10.001
Steinfeld, M., & Brewer, J. (2015). The psychological benefits from reconceptualizing music-making as mindfulness practice. //Medical Problems of Performing Artists, 30//(2), 84-89.
Plonsker, R., Biran, D.G., Zvielli, A., & Bernstein, A. (2017). Cognitive fusion and emotion differentiation: Does getting entangled with our thoughts dysregulate the generation, experience and regulation of emotion?. //Cognition & Emotion, 31//(6), 1286-1293. https://doi.org/10.1080/02699931.2016.1211993
Kato, T. (2016). Impact of psychological inflexibility on depressive symptoms and sleep difficulty in a Japanese sample. //SpringerPlus, 5//, 721. https://doi.org/10.1186/s40064-016-2393-0
Moreira, H., & Canavarro, M.C. (2017). Is body shame a significant mediator of the relationship between mindfulness skills and the quality of life of treatment-seeking children and adolescents with overweight and obesity? //Body Image, 20//, 49-57. https://doi.org/10.1016/j.bodyim.2016.11.004
Keng, S.L., & Tan, J.X. (2017). Effects of brief mindful breathing and loving-kindness meditation on shame and social problem solving abilities among individuals with high borderline personality traits. //Behaviour Research and Therapy, 97//, 43-51. https://doi.org/10.1016/j.brat.2017.07.004
O'Mahony, S., Gerhart, J.I., Grosse, J., Abrams, I., & Levy, M.M. (2016). Posttraumatic stress symptoms in palliative care professionals seeking mindfulness training: Prevalence and vulnerability. //Palliative Medicine, 30//(2), 189-192. https://doi.org/10.1177/0269216315596459
McCracken, L.M., DaSilva, P., Skillicorn, B., & Doherty, R. (2014). The Cognitive Fusion Questionnaire: A preliminary study of psychometric properties and prediction of functioning in chronic pain. //Clinical Journal of Pain, 30//(10), 894-901. https://doi.org/10.1097/AJP.0000000000000047
Luoma, J.B., Kohlenberg, B.S., Hayes, S.C., & Fletcher, L. (2012). Slow and steady wins the race: A randomized clinical trial of acceptance and commitment therapy targeting shame in substance use disorders. //Journal of Consulting and Clinical Psychology, 80//(1), 43-53. https://doi.org/10.1037/a0026070
Johnson, E.A., & O'Brien, K.A. (2013). Self-compassion soothes the savage ego-threat system: Effects on negative affect, shame, rumination, and depressive symptoms. //Journal of Social and Clinical Psychology, 32//(9), 939-963. https://doi.org/10.1521/jscp.2013.32.9.939
Langer, E., Russell, T., & Eisenkraft, N. (2009). Orchestral performance and the footprint of mindfulness. //Psychology of Music, 37//(2), 125-136. https://doi.org/10.1177/0305735607086053
Bartunek, J.M. (2016). A commentary quiz: What musical composition best describes a primary contribution of your article?. //Management Learning, 47//(1), 100-109. https://doi.org/10.1177/1350507615615299
Beng, T.S., Chin, L.E., Guan, N.C., Yee, A., Wu, C., Jane, L.E., ... & Meng, C.B.C. (2015). Mindfulness-Based Supportive Therapy (MBST): Proposing a palliative psychotherapy from a conceptual perspective to address suffering in palliative care. //American Journal of Hospice & Palliative Medicine, 32//(2), 144-160. https://doi.org/10.1177/1049909113508640
Curtiss, J., & Klemanski, D.H. (2014). Teasing apart low mindfulness: Differentiating deficits in mindfulness and in psychological flexibility in predicting symptoms of generalized anxiety disorder and depression. //Journal of Affective Disorders, 166//, 41-47. https://doi.org/10.1016/j.jad.2014.04.062
Trindade, I.A., & Ferreira, C. (2014). The impact of body image-related cognitive fusion on eating psychopathology. //Eating Behaviors, 15//(1), 72-75. https://doi.org/10.1016/j.eatbeh.2013.10.014
Steyn, B.J.M., Steyn, M.H., Maree, D.J.F., & Panebianco-Warrens, C. (2016). Psychological skills and mindfulness training effects on the psychological wellbeing of undergraduate music students: An exploratory study. //Journal of Psychology in Africa, 26//(2), 167-171. https://doi.org/10.1080/14330237.2016.1163906
Gerhart, J., O'Mahony, S., Abrams, I., Grosse, J., Greene, M., & Levy, M. (2016). A pilot test of a mindfulness-based communication resilience in palliative care professionals. //Journal of Contextual Behavioral Science, 5//(2), 89-96. https://doi.org/10.1016/j.jcbs.2016.04.003
Rawtaer, I., Mahendran, R., Yu, J.H., Fam, J., Feng, L., & Kua, E.H. (2015). Psychosocial interventions with art, music, Tai Chi and mindfulness for subsyndromal depression and anxiety in older adults: A naturalistic study in Singapore. //Asia-Pacific Psychiatry, 7//(3), 240-250. https://doi.org/10.1111/appy.12201
Gabel, C., Garrido, N., Koenig, J., Hillecke, T.K., & Warth, M. (2017). Effects of Monochord music on Heart Rate variability and Self-Reports of Relaxation in Healthy Adults. //Complementary Medicine Research, 24//(2), 97-103. https://doi.org/10.1159/000455133
O'Neil, T., Lyndale, P., Szakatis, K., & Fitzgerald, T. (2017). The value of a brief thought for the day reflection on an academic consult service. //American Journal of Hospice & Palliative Medicine, 34//(9), 869-873. https://doi.org/10.1177/1049909116660518
Liss, M., & Erchull, M.J. (2015). Not hating what you see: Self-compassion may protect against negative mental health variables connected to self-objectification in college women. //Body Image, 14//, 5-12. https://doi.org/10.1016/j.bodyim.2015.02.006
Ruiz, F.J. (2014). The relationship between low levels of mindfulness skills and pathological worry: The mediating role of psychological inflexibility. //Anales de Psicologia, 30//(3), 887-897. https://doi.org/10.6018/analesps.30.3.150651
Baker, G. (2008). Latin American Baroque: Performance as a post-colonial act? //Early Music, 36//(3), 441-448. https://doi.org/10.1093/em/can082
Levin, M.E., Luoma, J.B., Vilardaga, R., Lillis, J., Nobles, R., & Hayes, S.C. (2016). Examining the role of psychological inflexibility, perspective taking, and empathic concern in generalized prejudice. //Journal of Applied Social Psychology, 46//(3), 180-191. https://doi.org/10.1111/jasp.12355
Diaz, F.M. (2013). Mindfulness, attention, and flow during music listening: An empirical investigation. //Psychology of Music, 41//(1), 42-58. https://doi.org/10.1177/0305735611415144
Reid, R.C., Temko, J., Moghaddam, J.F., & Fong, T.W. (2014). Shame, rumination, and self-compassion in men assessed for hypersexual disorder. //Journal of Psychiatric Practice, 20//(4), 260-268. https://doi.org/10.1097/01.pra.0000452562.98286.c5
Duff, H., Larsson, A., & McHugh, L. (2016). Evaluations of self-referential thoughts and their association with components of acceptance and commitment therapy. //Journal of Contextual Behavioral Science, 5//(1), 39-47. https://doi.org/10.1016/j.jcbs.2015.11.003
Dong, S.T., Butow, P.N., Tong, A., Agar, M., Boyle, F., Forster, B.C., ... & Lovell, M.R. (2016). Patients' experiences and perspectives of multiple concurrent symptoms in advanced cancer: A semi-structured interview study. //Supportive Care in Cancer, 24//(3), 1373-1386. https://doi.org/10.1007/s00520-015-2913-4
Duarte, J., & Pinto-Gouveia, J. (2017). Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. //Journal of Contextual Behavioral Science, 6//(2), 125-133. https://doi.org/10.1016/j.jcbs.2017.03.002
Houser, M.M., Rosen, L., Seagrave, M.P., Grabowski, D., Matthew, J.D., & Craig, W.A.P. (2013). Exercise heart rate monitors for anxiety treatment in a rural primary care setting: A pilot study. //Family Medicine, 45//(9), 615-621.
Latzman, R.D., & Masuda, A. (2013). Examining mindfulness and psychological inflexibility within the framework of Big Five personality. //Personality and Individual Differences, 55//(2), 129-134. https://doi.org/10.1016/j.paid.2013.02.019
Mahendran, R., Rawtaer, I., Fam, J., Wong, J., Kumar, A.P., Gandhi, M., ... & Kua, E.H. (2017). Art therapy and music reminiscence activity in the prevention of cognitive decline: Study protocol for a randomized controlled trial. //Trials, 18//, 324. https://doi.org/10.1186/s13063-017-2080-7
Ruiz, F.J., Odriozola-Gonzalez, P., & Suarez-Falcon, J.C. (2014). The Spanish version of the Believability of Anxious Feelings and Thoughts Questionnaire. //Psicothema, 26//(3), 308-313. https://doi.org/10.7334/psicothema2013.221
Karris, M., & Caldwell, B.E. (2015). Integrating emotionally focused therapy, self-compassion, and compassion-focused therapy to assist shame-prone couples who have experienced trauma. //Family Journal, 23//(4), 346-357. https://doi.org/10.1177/1066480715601676
[img[tps19.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Zerubavel, N., & Messman-Moore, T.L. (2015). Staying present: Incorporating mindfulness into therapy for dissociation. //Mindfulness, 6//(2), 303-314. https://doi.org/10.1007/s12671-013-0261-3
Escudero-Perez, S., Leon-Palacios, M.G., Ubeda-Gomez, J., Barros-Albarran, M.D., Lopez-Jimenez, A.M., & Perona-Garcelan, S. (2016). Dissociation and mindfulness in patients with auditory verbal hallucinations. //Journal of Trauma & Dissociation, 17//(3), 294-306. https://doi.org/10.1080/15299732.2015.1085480
Perona-Garcelan, S., Garcia-Montes, J.M., Rodriguez-Testal, J.F., Lopez-Jimenez, A.M., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Benitez-Hernandez, M.D. (2014). Relationship between childhood trauma, mindfulness, and dissociation in subjects with and without hallucination proneness. //Journal of Trauma & Dissociation, 15//(1), 35-51. https://doi.org/10.1080/15299732.2013.821433
Millstein, D.J., Orsillo, S.M., Hayes-Skelton, S.A., & Roemer, L. (2015). Interpersonal problems, mindfulness, and therapy outcome in an acceptance-based behavior therapy for generalized anxiety disorder. //Cognitive Behaviour Therapy, 44//(6), 491-501. https://doi.org/10.1080/16506073.2015.1060255
Levin, M.E., Hayes, S.C., Pistorello, J., & Seeley, J.R. (2016). Web-based self-help for preventing mental health problems in universities: Comparing acceptance and commitment training to mental health education. //Journal of Clinical Psychology, 72//(3), 207-225. https://doi.org/10.1002/jclp.22254
Varese, F., Barkus, E., & Bentall, R.P. (2011). Dissociative and metacognitive factors in hallucination-proneness when controlling for comorbid symptoms. //Cognitive Neuropsychiatry, 16//(3), 193-217. https://doi.org/10.1080/13546805.2010.495244
Holzel, B.K., Hoge, E.A., Greve, D.N., Gard, T., Creswell, J.D., Brown, K.W., ... & Lazar, S.W. (2013). Neural mechanisms of symptom improvements in generalized anxiety disorder following mindfulness training. //Neuroimage: Clinical, 2//, 448-458. https://doi.org/10.1016/j.nicl.2013.03.011
Bird, E.R., Seehuus, M., Clifton, J., & Rellini, A.H. (2014). Dissociation during sex and sexual arousal in women with and without a history of childhood sexual abuse. //Archives of Sexual Behavior, 43//(5), 953-964. https://doi.org/10.1007/s10508-013-0191-0
Bowden, D., Gaudry, C., An, S.C., & Gruzelier, J. (2012). A comparative randomised controlled trial of the effects of brain wave vibration training, Iyengar yoga, and mindfulness on mood, well-being, and salivary cortisol. //Evidence-based Complementary and Alternative Medicine, 2012//, 234713. https://doi.org/10.1155/2012/234713
Makova, E., Meeten, F., Watson, D.R., Garfinkel, S.N., Critchley, H.D., & Ottaviani, C. (2016). Neurostructural abnormalities associated with axes of emotion dysregulation in generalized anxiety. //Neuroimage: Clinical, 10//, 172-181. https://doi.org/10.1016/j.nicl.2015.11.022
Orsillo, S.M., Roemer, L., & Barlow, D.H. (2003). Integrating acceptance and mindfulness into existing cognitive-behavioral treatment for GAD: A case study. //Cognitive and Behavioral Practice, 10//(3), 222-230. https://doi.org/10.1016/S1077-7229(03)80034-2
Hayes-Skelton, S.A., Roemer, L., & Orsillo, S.M. (2013). A randomized clinical trial comparing an acceptance-based behavior therapy to applied relaxation for generalized anxiety disorder. //Journal of Consulting and Clinical Psychology, 81//(5), 761-773. https://doi.org/10.1037/a0032871
Wittmann, M., Rudolph, T., Gutierrez, D.L., & Winkler, I. (2015). Time perspective and emotion regulation as predictors of age-related subjective passage of time. //International Journal of Environmental Research and Public Health, 12//(12), 16027-16042. https://doi.org/10.3390/ijerph121215034
Hayes-Skelton, S.A., Orsillo, S.M., & Roemer, L. (2013). An acceptance-based behavioral therapy for individuals with generalized anxiety disorder. //Cognitive and Behavioral Practice, 20//(3), 264-281. https://doi.org/10.1016/j.cbpra.2011.02.005
Perona-Garcelan, S., Carrascoso-Lopez, F., Garcia-Montes, J.M., Vallina-Fernandez, O., Perez-Alvarez, M., Ductor-Recuerda, M.J., ... & Gomez-Gomez, M.T. (2011). Depersonalization as a mediator in the relationship between self-focused attention and auditory hallucinations. //Journal of Trauma & Dissociation, 12//(5), 535-548. https://doi.org/10.1080/15299732.2011.602181
Fracalanza, K., Koerner, N., Deschenes, S.S., & Dugas, M.J. (2014). Intolerance of uncertainty mediates the relation between generalized anxiety disorder symptoms and anger. //Cognitive Behaviour Therapy, 43//(2), 122-132. https://doi.org/10.1080/16506073.2014.888754
Curtiss, J., & Klemanski, D.H. (2014). Teasing apart low mindfulness: Differentiating deficits in mindfulness and in psychological flexibility in predicting symptoms of generalized anxiety disorder and depression. //Journal of Affective Disorders, 166//, 41-47. https://doi.org/10.1016/j.jad.2014.04.062
Grant, J.A., Duerden, E.G., Courtemanche, J., Cherkasova, M., Duncan, G.H., & Rainville, P. (2013). Cortical thickness, mental absorption and meditative practice: Possible implications for disorders of attention. //Biological Psychology, 92//(2), 275-281. https://doi.org/10.1016/j.biopsycho.2012.09.007
Sugiura, Y., & Sugiura, T. (2015). Emotional intensity reduces later generalized anxiety disorder symptoms when fear of anxiety and negative problem-solving appraisal are low. //Behaviour Research and Therapy, 71//(8), 27-33. https://doi.org/10.1016/j.brat.2015.05.015
Koszycki, D., Raab, K., Aldosary, F., & Bradwejn, J. (2010). A multifaith spiritually based intervention for generalized anxiety disorder: A pilot randomized trial. //Journal of Clinical Psychology, 66//(4), 430-441. https://doi.org/10.1002/jclp.20663
Sharma, T., Sinha, V.K., & Sayeed, N. (2016). Role of mindfulness in dissociative disorders among adolescents. //Indian Journal of Psychiatry, 58//(3), 326-328. https://doi.org/10.4103/0019-5545.192013
Hoge, E.A., Bui, E., Marques, L., Metcalf, C.A., Morris, L.K., Robinaugh, D.J., ... & Simon, N.M. (2013). Randomized controlled trial of mindfulness meditation for generalized anxiety disorder: Effects on anxiety and stress reactivity. //Journal of Clinical Psychiatry, 74//(8), 786-792. https://doi.org/10.4088/JCP.12m08083
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Lee, J.K., & Orsillo, S.M. (2014). Investigating cognitive flexibility as a potential mechanism of mindfulness in generalized anxiety disorder. //Journal of Behavior Therapy and Experimental Psychiatry, 45//(1), 208-216. https://doi.org/10.1016/j.jbtep.2013.10.008
Roemer, L., Orsillo, S.M., & Salters-Pedneault, K. (2008). Efficacy of an acceptance-based behavior therapy for generalized anxiety disorder: Evaluation in a randomized controlled trial. //Journal of Consulting and Clinical Psychology, 76//(6), 1083-1089. https://doi.org/10.1037/a0012720
Treanor, M., Erisman, S.M., Salters-Pedneault, K., Roemer, L., & Orsillo, S.M. (2011). Acceptance-based behavioral therapy for GAD: Effects on outcomes from three theoretical models. //Depression and Anxiety, 28//(2), 127-136. https://doi.org/10.1002/da.20766
Lee, D.H., Park, H.Y., Lee, U.S., Lee, K.J., Noh, E.C., Jang, J.H., ... & Kang, D.H. (2015). The effects of brain wave vibration on oxidative stress response and psychological symptoms. //Comprehensive Psychiatry, 60//, 99-104. https://doi.org/10.1016/j.comppsych.2015.03.003
Hoge, E.A., Holzel, B.K., Marques, L., Metcalf, C.A., Brach, N., Lazar, S.W., ... & Simon, N.M. (2013). Mindfulness and self-compassion in generalized anxiety disorder: Examining predictors of disability. //Evidence-based Complementary and Alternative Medicine//, 2013, 576258. https://doi.org/10.1155/2013/576258
Jonsson, K., & Kjellgren, A. (2016). Promising effects of treatment with flotation-rest (restricted environmental stimulation technique) as an intervention for generalized anxiety disorder (GAD): A randomized controlled pilot trial. //BMC Complementary and Alternative Medicine, 16//(1), 108. https://doi.org/10.1186/s12906-016-1089-x
Marchant, N.L., & Howard, R.J. (2015). Cognitive debt and Alzheimer's disease. //Journal of Alzheimer's Disease, 44//(3), 755-770. https://doi.org/10.3233/JAD-141515
Mennin, D.S., Fresco, D.M., Ritter, M., & Heimberg, R.G. (2015). An open trial of emotion regulation therapy for generalized anxiety disorder and cooccurring depression. //Depression and Anxiety, 32//(8), 614-623. https://doi.org/10.1002/da.22377
Dahlin, M., Andersson, G., Magnusson, K., Johansson, T., Sjogren, J., Hakansson, A., ... & Carlbring, P. (2016). Internet-delivered acceptance-based behaviour therapy for generalized anxiety disorder: A randomized controlled trial. //Behaviour Research and Therapy, 77//, 86-95. https://doi.org/10.1016/j.brat.2015.12.007
Misri, S., Abizadeh, J., Sanders, S., & Swift, E. (2015). Perinatal generalized anxiety disorder: Assessment and treatment. //Journal of Women’s Health, 24//(9), 762-770. https://doi.org/10.1089/jwh.2014.5150
DeLosAngeles, D., Williams, G., Burston, J., Fitzgibbon, S.P., Lewis, T.W., Grummett, T.S., ... & Willoughby, J.O. (2016). Electroencephalographic correlates of states of concentrative meditation. //International Journal of Psychophysiology, 110//, 27-39. https://doi.org/10.1016/j.ijpsycho.2016.09.020
Weiner, L., Wittmann, M., Bertschy, G., & Giersch, A. (2016). Dispositional mindfulness and subjective time in healthy individuals. //Frontiers in Psychology, 7//, 786. https://doi.org/10.3389/fpsyg.2016.00786
Wells, A. (2002). GAD, Metacognition, and Mindfulness: An information processing analysis. //Clinical Psychology-science and Practice, 9//(1), 95-100. https://doi.org/10.1093/clipsy.9.1.95
Roemer, L., & Orsillo, S.M. (2007). An open trial of an acceptance-based behavior therapy for generalized anxiety disorder. //Behavior Therapy, 38//(1), 72-85. https://doi.org/10.1016/j.beth.2006.04.004
Hoge, E.A., Guidos, B.M., Mete, M., Bui, E., Pollack, M.H., Simon, N.M., ... & Dutton, M.A. (2017). Effects of mindfulness meditation on occupational functioning and health care utilization in individuals with anxiety. //Journal of Psychosomatic Research, 95//, 7-11. https://doi.org/10.1016/j.jpsychores.2017.01.011
Brown, L.A., Forman, E.M., Herbert, J.D., Hoffman, K.L., Yuen, E.K., & Goetter, E.M. (2011). A randomized controlled trial of acceptance-based behavior therapy and cognitive therapy for test anxiety: A pilot study. //Behavior Modification, 35//(1), 31-53. https://doi.org/10.1177/0145445510390930
Noguchi, K. (2017). Mindfulness as an end-state: Construction of a trait measure of mindfulness. //Personality and Individual Differences, 106//, 298-307. https://doi.org/10.1016/j.paid.2016.10.047
Mazzoni, E., Cannata, D., & Baiocco, L. (2017). Focused, not lost: The mediating role of temporal dissociation and focused immersion on problematic internet use. //Behaviour & Information Technology, 36//(1), 11-20. https://doi.org/10.1080/0144929X.2016.1159249
Loucks, E.B., Britton, W.B., Howe, C.J., Gutman, R., Gilman, S.E., Brewer, J., ... & Buka, S.L. (2016). Associations of dispositional mindfulness with obesity and central adiposity: The new england family study. //International Journal of Behavioral Medicine, 23//(2), 224-233. https://doi.org/10.1007/s12529-015-9513-z
Goodwin, C.L., Forman, E.M., Herbert, J.D., Butryn, M.L., & Ledley, G.S. (2012). A pilot study examining the initial effectiveness of a brief acceptance-based behavior therapy for modifying diet and physical activity among cardiac patients. //Behavior Modification, 36//(2), 199-217. https://doi.org/10.1177/0145445511427770
Fisak, B., & Von Lehe, A.C. (2012). The relation between the Five Facets of Mindfulness and worry in a non-clinical sample. //Mindfulness, 3//(1), 15-21. https://doi.org/10.1007/s12671-011-0075-0
Craske, M.G., & Hazlett-Stevens, H. (2002). Facilitating symptom reduction and behavior change in GAD: The issue of control. //Clinical Psychology-science and Practice, 9//(1), 69-75. https://doi.org/10.1093/clipsy/9.1.69
Craigie, M.A., Rees, C.S., Marsh, A., & Nathan, P. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder: A preliminary evaluation. //Behavioural and Cognitive Psychotherapy, 36//(5), 553-568. https://doi.org/10.1017/S135246580800458X
Evans, S., Ferrando, S., Findler, M., Stowell, C., Smart, C., & Haglin, D. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder. //Journal of Anxiety Disorders, 22//(4), 716-721. https://doi.org/10.1016/j.janxdis.2007.07.005
Berkovich-Ohana, A., & Glicksohn, J. (2017). Meditation, absorption, transcendent experience, and affect: Tying it all together via the Consciousness State Space (CSS) model. //Mindfulness, 8//(1), 68-77. https://doi.org/10.1007/s12671-015-0481-9
Hofmann, S.G., Curtiss, J., Khalsa, S.B.S., Hoge, E., Rosenfield, D., Bui, E., ... & Simon, N. (2015). Yoga for generalized anxiety disorder: Design of a randomized controlled clinical trial. //Contemporary Clinical Trials, 44//, 70-76. https://doi.org/10.1016/j.cct.2015.08.003
Lu, C.F., Smith, L.N., & Gau, C.H. (2012). Exploring the Zen meditation experiences of patients with generalized anxiety disorder: A focus-group approach. //Journal of Nursing Research, 20//(1), 43-51. https://doi.org/10.1097/JNR.0b013e3182466e83
Roemer, L., Williston, S.K., Eustis, E.H., & Orsillo, S.M. (2013). Mindfulness and acceptance-based behavioral therapies for anxiety disorders. //Current Psychiatry Reports, 15//(11). https://doi.org/10.1007/s11920-013-0410-3
Wenk-Sormaz, H. (2005). Meditation can reduce habitual responding. //Alternative Therapies in Health and Medicine, 11//(2), 42-58.
Chang, D.F., Hung, T., Ng, N., Ling, A., Chen, T., Cao, Y.P., ... & Zhang, Y.L. (2016). Taoist cognitive therapy: Treatment of generalized anxiety disorder in a Chinese immigrant woman. //Asian American Journal of Psychology, 7//(3), 205-216. https://doi.org/10.1037/aap0000052
Roemer, L., Lee, J.K., Salters-Pedneault, K., Erisman, S.M., Orsillo, S.M., & Mennin, D.S. (2009). Mindfulness and emotion regulation difficulties in generalized anxiety disorder: Preliminary evidence for independent and overlapping contributions. //Behavior Therapy, 40//(2), 142-154. https://doi.org/10.1016/j.beth.2008.04.001
Eustis, E.H., Hayes-Skelton, S.A., Roemer, L., & Orsillo, S.M. (2016). Reductions in experiential avoidance as a mediator of change in symptom outcome and quality of life in acceptance-based behavior therapy and applied relaxation for generalized anxiety disorder. //Behaviour Research and Therapy, 87//, 188-195. https://doi.org/10.1016/j.brat.2016.09.012
Danitz, S.B., & Orsillo, S.M. (2014). The mindful way through the semester: An investigation of the effectiveness of an acceptance-based behavioral therapy program on psychological wellness in first-year students. //Behavior Modification, 38//(4), 549-566. https://doi.org/10.1177/0145445513520218
Martins, M.J.R.V., Castilho, P., Carvalho, C.B., Pereira, A.T., Santos, V., Gumley, A., ... & de Macedo, A.F. (2017). Contextual cognitive-Behavioral therapies across the psychosis continuum: A review of evidence for schizophrenia, schizoaffective and bipolar disorders. //European Psychologist, 22//(2), 83-100. https://doi.org/10.1027/1016-9040/a000283
Wong, S.Y.S., Yip, B.H.K., Mak, W.W.S., Mercer, S., Cheung, E.Y.L., Ling, C.Y.M., ... & Ma, H.S.W. (2016). Mindfulness-based cognitive therapy v. group psychoeducation for people with generalised anxiety disorder: Randomised controlled trial. //British Journal of Psychiatry, 209//(1), 68-75. https://doi.org/10.1192/bjp.bp.115.166124
Wittmann, M., Otten, S., Schotz, E., Sarikaya, A., Lehnen, H., Jo, H.G., ... & Meissner, K. (2015). Subjective expansion of extended time-spans in experienced meditators. //Frontiers in Psychology, 5//, 1586. https://doi.org/10.3389/fpsyg.2014.01586
Hayes-Skelton, S.A., Usmani, A., Lee, J.K., Roemer, L., & Orsillo, S.M. (2012). A fresh look at potential mechanisms of change in applied relaxation for generalized anxiety disorder: A case series. //Cognitive and Behavioral Practice, 19//(3), 451-462. https://doi.org/10.1016/j.cbpra.2011.12.005
Michal, M., Koechel, A., Canterino, M., Adler, J., Reiner, I., Vossel, G., ... & Gamer, M. (2013). Depersonalization disorder: Disconnection of cognitive evaluation from autonomic responses to emotional stimuli. //PLOS ONE, 8//(9). https://doi.org/10.1371/journal.pone.0074331
Fuchs, C.H., West, L.M., Graham, J.R., Kalill, K.S., Morgan, L.P.K., Hayes-Skelton, S.A., ... & Roemer, L. (2016). Reactions to an acceptance-based behavior therapy for GAD: Giving voice to the experiences of clients from marginalized backgrounds. //Cognitive and Behavioral Practice, 23//(4), 473-484. https://doi.org/10.1016/j.cbpra.2015.09.004
Price, C.J., Thompson, E.A., & Cheng, S.C. (2017). Scale of body connection: A multi-sample construct validation study. //PLOS ONE, 12//(10). e0184757. https://doi.org/10.1371/journal.pone.0184757
Farb, N.A.S., Segal, Z.V., Mayberg, H., Bean, J., McKeon, D., Fatima, Z., ... & Anderson, A.K. (2007). Attending to the present: Mindfulness meditation reveals distinct neural modes of self-reference. //Social Cognitive and Affective Neuroscience, 2//(4), 313-322. https://doi.org/10.1093/scan/nsm030
Price, C.J., & Thompson, E.A. (2007). Measuring dimensions of body connection: Body awareness and bodily dissociation. //Journal of Alternative and Complementary Medicine, 13//(9), 945-953. https://doi.org/10.1089/acm.2007.0537
Nestler, S., Sierra, M., Jay, E.L., & David, A.S. (2015). Mindfulness and body awareness in depersonalization disorder. //Mindfulness, 6//(6). 1282-1285. https://doi.org/10.1007/s12671-015-0392-9
Jislin-Goldberg, T., Tanay, G., & Bernstein, A. (2012). Mindfulness and positive affect: Cross-sectional, prospective intervention, and real-time relations. //Journal of Positive Psychology, 7//(5), 349-361. https://doi.org/10.1080/17439760.2012.700724
Segal, Z.V., Bieling, P., Young, T., MacQueen, G., Cooke, R., Martin, L., ... & Levitan, R.D. (2010). Antidepressant monotherapy vs sequential pharmacotherapy and mindfulness-based cognitive therapy, or placebo, for relapse prophylaxis in recurrent depression. //Archives of General Psychiatry, 67//(12), 1256-1264. https://doi.org/10.1001/archgenpsychiatry.2010.168
Sachse, S., Keville, S., & Feigenbaum, J. (2011). A feasibility study of mindfulness-based cognitive therapy for individuals with borderline personality disorder. //Psychology and Psychotherapy: Theory, Research and Practice, 84//(2), 184-200. https://doi.org/10.1348/147608310X516387
Hoge, E.A., Bui, E., Goetter, E., Robinaugh, D.J., Ojserkis, R.A., Fresco, D.M., ... & Simon, N.M. (2015). Change in decentering mediates improvement in anxiety in mindfulness-based stress reduction for generalized anxiety disorder. //Cognitive Therapy and Research, 39//(2), 228-235. https://doi.org/10.1007/s10608-014-9646-4
[img[tps2.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Maguire-Rosier, K. (2016). Moving 'Misfits'. //Australasian Drama Studies, 69//, 29-55. https://search.informit.com.au/documentSummary;dn=590682266081795;res=IELHSS
Harrison, N.R., & Clark, D.P.A. (2016). The observing facet of trait mindfulness predicts frequency of aesthetic experiences evoked by the arts. //Mindfulness, 7//(4), 971-978. https://doi.org/10.1007/s12671-016-0536-6
Hussain, M.S., & Langer, E. (2003). A cost of pretending. //Journal of Adult Development, 10//(4), 261-270. https://doi.org/10.1023/A:1026063611951
Koetsch, G. (2011). Artists and the mind in the 21st century. //Frontiers in Human Neuroscience, 5//,110. https://doi.org/10.3389/fnhum.2011.00110
Chalk, H.M. (2016). Disability self-categorization in emerging adults: Relationship with self-esteem, perceived esteem, mindfulness, and markers of adulthood. //Emerging Adulthood, 4//(3), 200-206. https://doi.org/10.1177/2167696815584540
Michalak, J., Teismann, T., Heidenreich, T., Strohle, G., & Vocks, S. (2011). Buffering low self-esteem: The effect of mindful acceptance on the relationship between self-esteem and depression. //Personality and Individual Differences, 50//(5), 751-754. https://doi.org/10.1016/j.paid.2010.11.029
Pepping, C.A., O'Donovan, A., & Davis, P.J. (2013). The positive effects of mindfulness on self-esteem. //Journal of Positive Psychology, 8//(5), 376-386. https://doi.org/10.1080/17439760.2013.807353
Park, H.J., & Dhandra, T.K. (2017). The effect of trait emotional intelligence on the relationship between dispositional mindfulness and self-esteem. //Mindfulness, 8//(5), 1206-1211. https://doi.org/10.1007/s12671-017-0693-2
Lukoff, D., & Strozzi-Heckler, R. (2017). Aikido: A martial art with mindfulness, somatic, relational, and spiritual benefits for veterans. //Spirituality in Clinical Practice, 4//(2), 81-91. https://doi.org/10.1037/scp0000134
Neff, K.D., & Vonk, R. (2009). Self-compassion versus global self-esteem: Two different ways of relating to oneself. //Journal of Personality, 77//(1), 23-50. https://doi.org/10.1111/j.1467-6494.2008.00537.x
Tan, J.F., Lo, P.C., Ge, N., & Chu, C.J. (2016). Self-esteem mediates the relationship between mindfulness and social anxiety among Chinese undergraduate students. //Social Behavior and Personality, 44//(8), 1297-1304. https://doi.org/10.2224/sbp.2016.44.8.1297
Bajaj, B., Robins, R.W., & Pande, N. (2016). Mediating role of self-esteem on the relationship between mindfulness, anxiety, and depression. //Personality and Individual Differences, 96//, 127-131. https://doi.org/10.1016/j.paid.2016.02.085
Bajaj, B., Gupta, R., & Pande, N. (2016). Self-esteem mediates the relationship between mindfulness and well-being. //Personality and Individual Differences, 94//, 96-100. https://doi.org/10.1016/j.paid.2016.01.020
Kalmanowitz, D., & Ho, R.T.H. (2016). Out of our mind. art therapy and mindfulness with refugees, political violence and trauma. //Arts in Psychotherapy, 49//, 57-65. https://doi.org/10.1016/j.aip.2016.05.012
Zolnierczyk-Zreda, D., Sanderson, M., & Bedynska, S. (2016). Mindfulness-based stress reduction for managers: A randomized controlled study. //Occupational Medicine-oxford, 66//(8), 630-635. https://doi.org/10.1093/occmed/kqw091
Duru, E., & Balkis, M. (2017). Procrastination, self-esteem, academic performance, and well-being: A moderated mediation model. //International Journal of Educational Psychology, 6//(2), 97-119. https://doi.org/10.17583/ijep.2017.2584
Koole, S.L., Govorun, O., Cheng, C.M., & Gallucci, M. (2009). Pulling yourself together: Meditation promotes congruence between implicit and explicit self-esteem. //Journal of Experimental Social Psychology, 45//(6), 1220-1226. https://doi.org/10.1016/j.jesp.2009.05.018
Jasani, S.K., & Saks, N.S. (2013). Utilizing visual art to enhance the clinical observation skills of medical students. //Medical Teacher, 35//(7), E1327-E1331. https://doi.org/10.3109/0142159X.2013.770131
Rasmussen, M.K., & Pidgeon, A.M. (2011). The direct and indirect benefits of dispositional mindfulness on self-esteem and social anxiety. //Anxiety Stress and Coping, 24//(2), 227-233. https://doi.org/10.1080/10615806.2010.515681
Ocnarescu, I., & Bouchard, C. (2017). Memorable projects and aesthetic experiences in an industrial R&D lab. //Society and Business Review, 12//(3), 285-301. https://doi.org/10.1108/SBR-10-2016-0055
Jo, H.G., Wittmann, M., Hinterberger, T., & Schmidt, S. (2014). The readiness potential reflects intentional binding. //Frontiers in Human Neuroscience, 8//,421. https://doi.org/10.3389/fnhum.2014.00421
Lothes, J., Hakan, R., & Kasab, K. (2013). Aikido experience and its relation to mindfulness: A two-part study. //Perceptual and Motor Skills, 116//(1), 30-39. https://doi.org/10.2466/22.23.PMS.116.1.30-39
Peterson, C. (2015). "Walkabout: Looking in, looking out": A mindfulness-based art therapy program. //Art Therapy, 32//(2), 78-82. https://doi.org/10.1080/07421656.2015.1028008
Duncan, L.G., Moskowitz, J.T., Neilands, T.B., Dilworth, S.E., Hecht, F.M., & Johnson, M.O. (2012). Mindfulness-based stress reduction for HIV treatment side effects: A randomized, wait-list controlled trial. //Journal of Pain and Symptom Management, 43//(2), 161-171. https://doi.org/10.1016/j.jpainsymman.2011.04.007
Patterson, J. (2015). Employing mindfulness via art in education. //International Journal of Education through Art, 11//(2), 185-192. https://doi.org/10.1386/eta.11.2.185_1
Tam, H.L., Shik, A.W.Y., & Lam, S.S.L. (2016). Using expressive arts in relapse prevention of young psychotropic substance abusers in Hong Kong. //Children and Youth Services Review, 60//, 88-100. https://doi.org/10.1016/j.childyouth.2015.11.022
Fink, S., Foran, K.A., Sweeney, A.C., & O'Hea, E.L. (2009). Sexual body esteem and mindfulness in college women. //Body Image, 6//(4), 326-329. https://doi.org/10.1016/j.bodyim.2009.07.003
Salmoirago-Blotcher, E., Rich, C., Rosen, R.K., Dunsiger, S., Rana, A., & Carey, M.P. (2017). Phone-delivered mindfulness training to promote medication adherence and reduce sexual risk behavior among persons living with HIV: Design and methods. //Contemporary Clinical Trials, 53//, 162-170. https://doi.org/10.1016/j.cct.2016.12.016
Heaton, R., & Crumpler, A. (2017). Sharing mindfulness: A moral practice for artist teachers. //International Journal of Education and the Arts, 18//(26). https://eric.ed.gov/?id=EJ1146792
Hwang, S., Kim, G., Yang, J.W., & Yang, E. (2016). The moderating effects of age on the relationships of self-compassion, self-esteem, and mental health. //Japanese Psychological Research, 58//(2), 194-205. https://doi.org/10.1111/jpr.12109
Stasiewicz, P.R., Bradizza, C.M., Schlauch, R.C., Coffey, S.F., Gulliver, S.B., Gudleski, G.D., ... & Bole, C.W. (2013). Affect regulation training (ART) for alcohol use disorders: Development of a novel intervention for negative affect drinkers. //Journal of Substance Abuse Treatment, 45//(5), 433-443. https://doi.org/10.1016/j.jsat.2013.05.012
Ebrahiminejad, S., Poursharifi, H., Roodsari, A.B., Zeinodini, Z., & Noorbakhsh, S. (2016). The effectiveness of mindfulness-based cognitive therapy on Iranian female adolescents suffering from social anxiety. //Iranian Red Crescent Medical Journal, 18//(11). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292141/
George, K.M. (2008). Ethical pleasure, visual //dzikir//, and artistic subjectivity in contemporary Indonesia. //Material Religion, 4//(2), 172-192. https://doi.org/10.2752/175183408X328299
Burnside, L.D., Knecht, M.J., Hopley, E.K., & Logsdon, R.G. (2017). //here:now// - Conceptual model of the impact of an experiential arts program on persons with dementia and their care partners. //Dementia: The International Journal of Social Research and Practice, 16//(1), 29-45. https://doi.org/10.1177/1471301215577220
Lomas, T., Etcoff, N., Van Gordon, W., & Shonin, E. (2017). Zen and the art of living mindfully: The health-enhancing potential of Zen aesthetics. //Journal of Religion & Health, 56//(5), 1720-1739. https://doi.org/10.1007/s10943-017-0446-5
Kong, D.T. (2016). Ostracism perception as a multiplicative function of trait self-esteem, mindfulness, and facial emotion recognition ability. //Personality and Individual Differences, 93//, 68-73. https://doi.org/10.1016/j.paid.2015.08.046
Zhu, Z.H., Wang, R.C., Kao, H.S.R., Zong, Y., Liu, Z.K., Tang, S., ... & Lam, S.P.W. (2014). Effect of calligraphy training on hyperarousal symptoms for childhood survivors of the 2008 China earthquakes. //Neuropsychiatric Disease and Treatment, 10//, 977-985. https://doi.org/10.2147/NDT.S55016
Richard, V., Halliwell, W., & Tenenbaum, G. (2017). Effects of an improvisation intervention on elite figure skaters' performance, self esteem, creativity, and mindfulness skills. //Sport Psychologist, 31//(3), 275-287. https://doi.org/10.1123/tsp.2016-0059
Coholic, D. (2005). The helpfulness of spiritually influenced group work in developing self-awareness and self-esteem: A preliminary investigation. //The Scientific World Journal, 5//, 789-802. https://doi.org/10.1100/tsw.2005.99
Leigh, J., & Anderson, V.N. (2013). Secure attachment and autonomy orientation may foster mindfulness. //Contemporary Buddhism, 14//(2), 265-283. https://doi.org/10.1080/14639947.2013.832082
Luo, Y.M., Zhu, R.J., Ju, E.X., & You, X.Q. (2016). Validation of the Chinese version of the Mind-Wandering questionnaire (MWQ) and the mediating role of self-esteem in the relationship between mind-wandering and life satisfaction for adolescents. //Personality and Individual Differences, 92//, 118-122. https://doi.org/10.1016/j.paid.2015.12.028
Lush, P., Parkinson, J., & Dienes, Z. (2016). Illusory temporal binding in meditators. //Mindfulness, 7//(6), 1416-1422. https://doi.org/10.1007/s12671-016-0583-z
Diaz, F.M. (2013). Mindfulness, attention, and flow during music listening: An empirical investigation. //Psychology of Music, 41//(1), 42-58. https://doi.org/10.1177/0305735611415144
Diamond, A. (2012). Activities and programs that improve children's executive functions. //Current Directions in Psychological Science, 21//(5), 335-341. https://doi.org/10.1177/0963721412453722
Naves-Bittencourt, W., Mendonca-de-Sousa, A., Stults-Kolehmainen, M., Fontes, E., Cordova, C., Demarzo, M., ... & Boullosa, D. (2015). Martial arts: Mindful exercise to combat stress. //European Journal of Human Movement, 34//, 34-51. http://www.eurjhm.com/index.php/eurjhm/article/view/355
Boyd, P., Morris, K.L., & Goldenberg, J.L. (2017). Open to death: A moderating role of openness to experience in terror management. //Journal of Experimental Social Psychology, 71//, 117-127. https://doi.org/10.1016/j.jesp.2017.03.003
Eller, L.S., Rivero-Mendez, M., Voss, J., Chen, W.T., Chaiphibalsarisdi, P., Iipinge, S., ... & Brion, J.M. (2014). Depressive symptoms, self-esteem, HIV symptom management self-efficacy and self-compassion in people living with HIV. //AIDS Care-psychological and Socio-medical Aspects of AIDS/HIV, 26//(7), 795-803. https://doi.org/10.1080/09540121.2013.841842
Ando, M., Kira, H., Hayashida, S., & Ito, S. (2016). Effectiveness of the mindfulness art therapy short version for Japanese patients with advanced cancer. //Art Therapy, 33//(1), 35-40. https://doi.org/10.1080/07421656.2016.1128764
[img[tps20.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kohls, N., Walach, H., & Lewith, G. (2009). The impact of positive and negative spiritual experiences on distress and the moderating role of mindfulness. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 31//(3), 357-374. https://doi.org/10.1163/008467209X12524724282032
Parameshwaran, R. (2015). Theory and practice of chaplain's spiritual care process: A psychiatrist's experiences of chaplaincy and conceptualizing trans-personal model of mindfulness. //Indian Journal of Psychiatry, 57//(1), 21-29. https://doi.org/10.4103/0019-5545.148511
Rosmarin, D.H., Pargament, K.I., & Flannelly, K.J. (2009). Do spiritual struggles predict poorer physical/mental health among Jews?. //International Journal for the Psychology of Religion, 19//(4), 244-258.
Pandya, S.P. (2016). Hospital social work and spirituality: Views of medical social workers. //Social Work in public health, 31//(7), 700-710. https://doi.org/10.1080/19371918.2016.1188740
Walach, H., Kohls, N., von Stillfried, N., Hinterberger, T., & Schmidt, S. (2009). Spirituality: The legacy of parapsychology. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 31//(3), 277-308. https://doi.org/10.1163/008467209X12499946199407
Singh, S., Corner, P.D., & Pavlovich, K. (2016). Spirituality and entrepreneurial failure. //Journal of Management spirituality & religion, 13//(1), 24-49. https://doi.org/10.1080/14766086.2015.1029961
Moritz, S., Quan, H., Rickhi, B., Liu, M.F., Angen, M., Vintila, R., ... & Toews, J. (2006). A home study-based spirituality education program decreases emotional distress and increases quality of life - a randomized, controlled trial. //Alternative Therapies in Health and Medicine, 12//(6), 26-35. https://www.ncbi.nlm.nih.gov/pubmed/17131979
Pandya, S.P. (2015). Including spirituality in the social work curriculum: Perspectives from South Asia. //Social Work education, 34//(6), 729-746. https://doi.org/10.1080/02615479.2015.1043259
Yadav, R., Khanna, A., & Singh, D. (2017). Exploration of relationship between stress and spirituality characteristics of male and female engineering students: A comprehensive study. //Journal of Religion & Health, 56//(2), 388-399. https://doi.org/10.1007/s10943-015-0174-7
Carmody, J., Reed, G., Kristeller, J., & Merriam, P. (2008). Mindfulness, spirituality, and health-related symptoms. //Journal of Psychosomatic Research, 64//(4), 393-403. https://doi.org/10.1016/j.jpsychores.2007.06.015
Hawks, S.R., Hull, M.L., Thalman, R.L., & Richins, P.M. (1995). Review of spiritual health - definition, role, and intervention strategies in health promotion. //American Journal of Health Promotion, 9//(5), 371-378. https://doi.org/10.4278/0890-1171-9.5.371
Augustyn, B.D., Hall, T.W., Wang, D.C., & Hill, P.C. (2017). Relational spirituality: An attachment- based model of spiritual development and psychological well-being. //Psychology of Religion and Spirituality, 9//(2), 197-208. https://doi.org/10.1037/rel0000100
Cobb, E., Kor, A., & Miller, L. (2015). Support for adolescent spirituality: Contributions of religious practice and trait mindfulness. //Journal of Religion & Health, 54//(3), 862-870. https://doi.org/10.1007/s10943-015-0046-1
Ando, M., Morita, T., Akechi, T., Ito, S., Tanaka, M., Ifuku, Y., ... & Nakayama, T. (2009). The efficacy of mindfulness-based meditation therapy on anxiety, depression, and spirituality in Japanese patients with cancer. //Journal of Palliative Medicine, 12//(12), 1091-1094. https://doi.org/10.1089/jpm.2009.0143
Yang, K.P., & Wu, X.J. (2009). Spiritual Intelligence of Nurses in Two Chinese Social Systems: A cross-sectional comparison study. //Journal of Nursing Research, 17//(3), 189-198. https://doi.org/10.1097/JNR.0b013e3181b2556c
Trama, S., & Modi, S. (2016). Impact of self-enhancement on spiritually non-oriented young adults. //Indian Journal of Psychological Science, 6//(2), 54-64. http://www.napsindia.org/wp-content/uploads/2017/05/07-Sangeeta-trama-min.pdf
Schredl, M., Stumbrys, T., & Erlacher, D. (2016). Dream recall, nightmare frequency, and spirituality. //Dreaming, 26//(1), 1-9. https://doi.org/10.1037/drm0000015
Temme, L.J., & Kopak, A.M. (2016). Maximizing recovery through the promotion of mindfulness and spirituality. //Journal of Religion and Spirituality in Social Work, 35//(42737), 41-56. https://doi.org/10.1080/15426432.2015.1067591
Plante, T.G. (2016). Beyond mindfulness expanding integration of spirituality and religion into psychotherapy. //Open Theology, 2//(1), 135-144. https://doi.org/10.1515/opth-2016-0011
Einolf, C.J. (2013). Daily spiritual experiences and prosocial behavior. //Social Indicators Research, 110//(1), 71-87. https://doi.org/10.1007/s11205-011-9917-3
van Rensburg, A.B.R.J., Poggenpoel, M., Myburgh, C.P.H., & Szabo, C.P. (2012). Experience and views of academic psychiatrists on the role of spirituality in south african specialist psychiatry. //Revista De Psiquiatria Clinica, 39//(4), 122-129. http://dx.doi.org/10.1590/S0101-60832012000400002
Pandya, S.P. (2017). Teachers' views on spirituality for adolescents in high schools across countries. //Pastoral Care in Education, 35//(2), 88-110. https://doi.org/10.1080/02643944.2017.1290132
Leigh, J., Bowen, S., & Marlatt, G.A. (2005). Spirituality, mindfulness and substance abuse. //Addictive Behaviors, 30//(7), 1335-1341. https://doi.org/10.1016/j.addbeh.2005.01.010
Greeson, J.M., Webber, D.M., Smoski, M.J., Brantley, J.G., Ekblad, A.G., Suarez, E.C., ... & Wolever, R.Q. (2011). Changes in spirituality partly explain health-related quality of life outcomes after mindfulness-based stress reduction. //Journal of Behavioral Medicine, 34//(6), 508-518. https://doi.org/10.1007/s10865-011-9332-x
Greeson, J.M., Smoski, M.J., Suarez, E.C., Brantley, J.G., Ekblad, A.G., Lynch, T.R., ... & Wolever, R.Q. (2015). Decreased symptoms of depression after mindfulness-based stress reduction: Potential moderating effects of religiosity, spirituality, trait mindfulness, sex, and age. //Journal of Alternative and Complementary Medicine, 21//(3), 166-174. https://doi.org/10.1089/acm.2014.0285
Peteet, J.R., & Balboni, M.J. (2013). Spirituality and religion in oncology. //CA: A Cancer Journal for Clinicians, 63//(4), 280-289. https://doi.org/10.3322/caac.21187
Da Silva, J.P., & Pereira, A.M.S. (2017). Perceived spirituality, mindfulness and quality of life in psychiatric patients. //Journal of Religion & Health, 56//(1), 130-140. https://doi.org/10.1007/s10943-016-0186-y
Schaub, R. (2013). Spirituality and the health professional. //Substance Use & Misuse, 48//(12), 1174-1179. https://doi.org/10.3109/10826084.2013.803883
Akin, A., & Akin, U. (2017). Does self-compassion predict spiritual experiences of Turkish university students?. //Journal of Religion & Health, 56//(1), 109-117. https://doi.org/10.1007/s10943-015-0138-y
Maaske, J. (2002). Spirituality and mindfulness. //Psychoanalytic Psychology, 19//(4), 777-781. https://doi.org/10.1037//0736-9735.19.4.777
Kernochan, R.A., McCormick, D.W., & White, J.A. (2007). Spirituality and the Management Teacher - Reflections of Three Buddhists on Compassion, Mindfulness, and Selflessness in the Classroom. //Journal of Management inquiry, 16//(1), 61-75. https://doi.org/10.1177/1056492606297545
Michaelson, V., Trothen, T., Ascough, H., & Pickett, W. (2016). Canadian children and spiritual health: Foundations for spiritual care. //Journal of Pastoral Care & Counseling, 70//(4), 244-256. https://doi.org/10.1177/1542305016680630
Maparyan, L. (2016). Seeds of Light, Flowers of Power, Fruits of Change Ecowomanism as Spiritualized Ecological Praxis. //Worldviews: Global Religions, Culture and Ecology, 20//(1), 48-63. https://doi.org/10.1163/15685357-02001005
Moss, A.S., Wintering, N., Roggenkamp, H., Khalsa, D.S., Waldman, M.R., Monti, D., ... & Newberg, A.B. (2012). Effects of an 8-week meditation program on mood and anxiety in patients with memory loss. //Journal of Alternative and Complementary Medicine, 18//(1), 48-53. https://doi.org/10.1089/acm.2011.0051
Bermudez, J. (2016). Arguments for a spiritual urbanism. //In Bo-ricerche E Progetti Per Il Territorio La Citta E L Architettura, 7//(9), 104-115. https://doi.org/10.6092/issn.2036-1602/6295
Hodge, D.R., & Lietz, C.A. (2014). Using spiritually modified cognitive-behavioral therapy in substance dependence treatment: Therapists' and clients' perceptions of the presumed benefits and limitations. //Health & Social Work, 39//(4), 200-210. https://doi.org/10.1093/hsw/hlu022
Shorey, R.C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2015). Dispositional mindfulness, spirituality, and substance use in predicting depressive symptoms in a treatment-seeking sample. //Journal of Clinical Psychology, 71//(4), 334-345. https://doi.org/10.1002/jclp.22139
Lubelska, A. (2012). Peaceful schools. //International Journal of Childrens Spirituality, 17//(2), 187-191. https://doi.org/10.1080/1364436X.2012.727501
Rubinart, M., Moynihan, T., & Deus, J. (2016). Using the collaborative inquiry method to explore the Jesus prayer. //Spirituality in Clinical Practice, 3//(2), 139-151. https://doi.org/10.1037/scp0000104
Burke, A., Lam, C.N., Stussman, B., & Yang, H. (2017). Prevalence and patterns of use of mantra, mindfulness and spiritual meditation among adults in the united states. //BMC Complementary and Alternative Medicine, 17//. https://doi.org/10.1186/s12906-017-1827-8
Wachholtz, A.B., Malone, C.D., & Pargament, K.I. (2017). Effect of different meditation types on migraine headache medication use. //Behavioral Medicine, 43//(1), 1-8. https://doi.org/10.1080/08964289.2015.1024601
Margolin, A., Schuman-Olivier, Z., Beitel, M., Arnold, R.M., Fulwiler, C.E., & Avants, S.K. (2007). A preliminary study of spiritual self-schema (3-s+) therapy for reducing impulsivity in HIV-positive drug users. //Journal of Clinical Psychology, 63//(10), 979-999. https://doi.org/10.1002/jclp.20407
Grabbe, L., Nguy, S.T., & Higgins, M.K. (2012). Spirituality development for homeless youth: A mindfulness meditation feasibility pilot. //Journal of Child and Family Studies, 21//(6), 925-937. https://doi.org/10.1007/s10826-011-9552-2
Fox, J., Gutierrez, D., Haas, J., & Durnford, S. (2016). Centering prayer's effects on psycho-spiritual outcomes: A pilot outcome study. //Mental Health Religion & Culture, 19//(4), 379-392. https://doi.org/10.1080/13674676.2016.1203299
Feuille, M., & Pargament, K. (2015). Pain, mindfulness, and spirituality: A randomized controlled trial comparing effects of mindfulness and relaxation on pain-related outcomes in migraineurs. //Journal of Health Psychology, 20//(8). https://doi.org/10.1177/1359105313508459
Horton, E.G., & Luna, N. (2016). Spirituality in the treatment of substance use disorders: Proposing the three-legged stool as a model for intervention. //Journal of Religion and Spirituality in Social Work, 35//(3), 179-199. https://doi.org/10.1080/15426432.2015.1067585
Meezenbroek, E.D., Garssen, B., van den Berg, M., Tuytel, G., van Dierendonck, D., Visser, A., ... & Schaufeli, W.B. (2012). Measuring spirituality as a universal human experience: Development of the spiritual attitude and involvement list (sail). //Journal of Psychosocial Oncology, 30//(2), 141-167. https://doi.org/10.1080/07347332.2011.651258
Wurtzen, H., Dalton, S.O., Christensen, J., Andersen, K.K., Elsass, P., Flyger, H.L., ... & Johansen, C. (2015). Effect of mindfulness-based stress reduction on somatic symptoms, distress, mindfulness and spiritual wellbeing in women with breast cancer: Results of a randomized controlled trial. //Acta Oncologica, 54//(5), 712-719. https://doi.org/10.3109/0284186X.2014.997371
Lomas, T. (2017). Recontextualizing mindfulness: Theravada Buddhist perspectives on the ethical and spiritual dimensions of awareness. //Psychology of Religion and Spirituality, 9//(2), 209-219. https://doi.org/10.1037/rel0000080
Urgesi, C., Aglioti, S.M., Skrap, M., & Fabbro, F. (2010). The spiritual brain: Selective cortical lesions modulate human self-transcendence. //Neuron, 65//(3), 309-319. https://doi.org/10.1016/j.neuron.2010.01.026
Kober, S.E., Witte, M., Ninaus, M., Koschutnig, K., Wiesen, D., Zaiser, G., ... & Wood, G. (2017). Ability to Gain Control Over One’s Own Brain Activity and its Relation to Spiritual Practice: A Multimodal Imaging Study. //Frontiers in Human Neuroscience, 11//. https://doi.org/10.3389/fnhum.2017.00271
Arevalo, S., Prado, G., & Amaro, H. (2008). Spirituality, sense of coherence, and coping responses in women receiving treatment for alcohol and drug addiction. //Evaluation and Program Planning, 31//(1), 113-123. https://doi.org/10.1016/j.evalprogplan.2007.05.009
Bormann, J.E., Walter, K.H., Leary, S., & Glaser, D. (2017). An internet-delivered mantram repetition program for spiritual well-being and mindfulness for health care workers. //Spirituality in Clinical Practice, 4//(1), 64-73. https://doi.org/10.1037/scp0000118
Amaro, H., Magno-Gatmaytan, C., Melendez, M., Cortes, D.E., Arevalo, S., & Margolin, A. (2010). Addiction Treatment Intervention: An Uncontrolled Prospective Pilot Study of Spiritual Self-Schema Therapy with Latina Women. //Substance Abuse, 31//(2), 117-125. https://doi.org/10.1080/08897071003641602
Labelle, L.E., Lawlor-Savage, L., Campbell, T.S., Faris, P., & Carlson, L.E. (2015). Does self-report mindfulness mediate the effect of Mindfulness-Based Stress Reduction (MBSR) on spirituality and posttraumatic growth in cancer patients?. //Journal of Positive Psychology, 10//(2), 153-166. https://doi.org/10.1080/17439760.2014.927902
Aldwin, C.M., Park, C.L., Jeong, Y.J., & Nath, R. (2014). Differing pathways between religiousness, spirituality, and health: A self-regulation perspective. //Psychology of Religion and Spirituality, 6//(1), 9-21. https://doi.org/10.1037/a0034416
Kelley, T.M., Pransky, J., & Lambert, E.G. (2017). Realizing improved mindfulness/flow/mental health through understanding three spiritual principles. //Journal of Spirituality in Mental Health, 19//(2), 133-150. https://doi.org/10.1080/19349637.2016.1215855
Mastropieri, B., Schussel, L., Forbes, D., & Miller, L. (2015). Inner resources for survival: Integrating interpersonal psychotherapy with spiritual visualization with homeless youth. //Journal of Religion & Health, 54//(3), 903-921. https://doi.org/10.1007/s10943-015-0044-3
Boczkowska, M.M., & Zieba, M. (2016). Preliminary study of religious, spiritual and mystical experiences. thematic analysis of poles adult's narratives. //Current Issues in Personality Psychology, 4//(3), 167-176. https://doi.org/10.5114/CIPP.2016.61484
Lukoff, D., & Strozzi-Heckler, R. (2017). Aikido: A martial art with mindfulness, somatic, relational, and spiritual benefits for veterans. //Spirituality in Clinical Practice, 4//(2), 81-91. https://doi.org/10.1037/scp0000134
Kehoe, N.C. (2017). On an inner journey. //Spirituality in Clinical Practice, 4//(2), 158-160. https://doi.org/10.1037/scp0000135
du Plessis, E. (2016). Presence: A step closer to spiritual care in nursing. //Holistic Nursing Practice, 30//(1), 47-53. https://doi.org/10.1097/HNP.0000000000000124
Bussing, A., Hedtstuck, A., Khalsa, S.B.S., Ostermann, T., & Heusser, P. (2012). Development of specific aspects of spirituality during a 6-month intensive yoga practice. //Evidence-based Complementary and Alternative Medicine//, NA. https://doi.org/10.1155/2012/981523
Borras, L., Khazaal, Y., Khan, R., Mohr, S., Kaufmann, Y.A., Zullino, D., ... & Huguelet, P. (2010). The relationship between addiction and religion and its possible implication for care. //Substance Use & Misuse, 45//(14), 2357-2375. https://doi.org/10.3109/10826081003747611
Coholic, D. (2005). The helpfulness of spiritually influenced group work in developing self-awareness and self-esteem: A preliminary investigation. //Thescientificworldjournal, 5//, 789-802. https://doi.org/10.1100/tsw.2005.99
Oman, D., & Bormann, J.E. (2015). Mantram repetition fosters self-efficacy in veterans for managing PTSD: A randomized trial. //Psychology of Religion and Spirituality, 7//(1), 34-45. https://doi.org/10.1037/a0037994
Plante, T.G. (2017). The 4 Ds: Using Ignatian spirituality in secular psychotherapy and beyond. //Spirituality in Clinical Practice, 4//(1), 74-79. https://doi.org/10.1037/scp0000122
Dylan, A., & Smallboy, B. (2016). Land-based spirituality among the Cree of the Mushkegowuk territory. //Journal of Religion and Spirituality in Social Work, 35//(42737), 108-119. https://doi.org/10.1080/15426432.2015.1067589
Phillips, R.E., Cheng, C.M., Pargament, K.I., University, C.O.G.S., Colvin, S.D., Abarr, A.N., ... & Reed, A.S. (2009). Spiritual Coping in American Buddhists: An Exploratory Study. //International Journal for the Psychology of Religion, 19//(4), 231-243. https://doi.org/10.1080/10508610903143263
Brinkerhoff, M.B., & Jacob, J.C. (1999). Mindfulness and quasi-religious meaning systems: An empirical exploration within the context of ecological sustainability and deep ecology. //Journal for the Scientific Study of Religion, 38//(4), 524-542. https://doi.org/10.2307/1387610
Mamman, A., & Zakaria, H.B. (2016). Spirituality and Ubuntu as the foundation for building African institutions, organizations and leaders. //Journal of Management spirituality & religion, 13//(3), 246-265. https://doi.org/10.1080/14766086.2016.1159976
Hyland, T. (2015). On the contemporary applications of mindfulness: Some implications for education. //Journal of Philosophy of Education, 49//(2), 170-186. https://doi.org/10.1111/1467-9752.12135
Scherwitz, L., Pullman, M., McHenry, P., Gao, B., & Ostaseski, F. (2006). A contemplative care approach to training and supporting hospice volunteers: A prospective study of spiritual practice, well-being, and fear of death. //Explore: The Journal of Science and Healing, 2//(4), 304-313. https://doi.org/10.1016/j.explore.2006.04.001
Melendez, M., Cortes, D.E., & Amaro, H. (2012). Acceptability and cultural fit of spiritual self-schema therapy for Puerto Rican women with addiction disorders: Qualitative findings. //Women & Therapy, 35//(42737), 106-119. https://doi.org/10.1080/02703149.2012.634733
Geary, C., & Rosenthal, S.L. (2011). Sustained impact of mbsr on stress, well-being, and daily spiritual experiences for 1 year in academic health care employees. //Journal of Alternative and Complementary Medicine, 17//(10), 939-944. https://doi.org/10.1089/acm.2010.0335
McFadden, S.H. (2008). Mindfulness, vulnerability, and love: Spiritual lessons from frail elders, earnest young pilgrims, and middle aged rockers. //Journal of Aging Studies, 22//(2), 132-139. https://doi.org/10.1016/j.jaging.2007.12.013
Koren, M.E., & Purohit, S. (2014). Interventional studies to support the spiritual self-care of health care practitioners an integrative review of the literature. //Holistic Nursing Practice, 28//(5), 291-300. https://doi.org/10.1097/HNP.0000000000000044
Hollingsworth, A. (2008). Implications of interpersonal neurobiology for a spirituality of compassion. //Zygon, 43//(4), 837-860. https://doi.org/10.1111/j.1467-9744.2008.00963.x
Brummans, B.H.J.M., Hwang, J.M., & Cheong, P.H. (2013). Mindful authoring through invocation: Leaders' constitution of a spiritual organization. //Management Communication Quarterly, 27//(3), 346-372. https://doi.org/10.1177/0893318913479176
Hayes, S.C. (2002). Acceptance, mindfulness, and science. //Clinical Psychology-science and Practice, 9//(1), 101-106. https://doi.org/10.1093/clipsy/9.1.101
Sperry, L., & Stoupas, G. (2017). Incorporating mindfulness in secular and spiritually oriented psychotherapy: Ethical concerns. //Spirituality in Clinical Practice, 4//(2), 152-154. https://doi.org/10.1037/scp0000132
Stevens, B.A. (2016). Mindfulness: A positive spirituality for ageing?. //Australasian Journal on Ageing, 35//(3), 156-158. https://doi.org/10.1111/ajag.12346
Shonin, E., & Van Gordon, W. (2015). Managers' experiences of meditation awareness training. //Mindfulness, 6//(4), 899-909. https://doi.org/10.1007/s12671-014-0334-y
[img[tps21.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Brown, J.G. (2012). Empowering students to create and claim value through the Thomas-Kilmann conflict mode instrument. //Negotiation Journal, 28//(1), 79-91. https://doi.org/10.1111/j.1571-9979.2011.00327.x
Grund, A., Grunschel, C., Bruhn, D., & Fries, S. (2015). Torn between want and should: An experience-sampling study on motivational conflict, well-being, self-control, and mindfulness. //Motivation and Emotion, 39//(4), 506-520. https://doi.org/10.1007/s11031-015-9476-z
Davis, K.D., Gere, J., & Sliwinski, M.J. (2017). Investigating the work-family conflict and health link: Repetitive thought as a mechanism. //Stress and Health, 33//(4), 330-338. https://doi.org/10.1002/smi.2711
Doerr, A. (2017). Beyond resolution - conceptualising the shift from resolution to defusion in FRD. //Australasian Dispute Resolution Journal, 28//(1), 27-34. http://sites.thomsonreuters.com.au/journals/files/2017/03/ADRJ-Vol-28-No-1-Contents.pdf
Alkoby, A., Halperin, E., Tarrasch, R., & Levit-Binnun, N. (2017). Increased support for political compromise in the Israeli-Palestinian conflict following an 8-week mindfulness workshop. //Mindfulness, 8//(5), 1345-1353. https://doi.org/10.1007/s12671-017-0710-5
Hanley, A.W., & Garland, E.L. (2014). Dispositional mindfulness co-varies with self-reported positive reappraisal. //Personality and Individual Differences, 66//, 146-152. https://doi.org/10.1016/j.paid.2014.03.014
Kiburz, K.M., Allen, T.D., & French, K.A. (2017). Work-family conflict and mindfulness: Investigating the effectiveness of a brief training intervention. //Journal of Organizational Behavior, 38//(7), 1016-1037. https://doi.org/10.1002/job.2181
Shockley, K.M., & Allen, T.D. (2015). Deciding between work and family: An episodic approach. //Personnel Psychology, 68//(2), 283-318. https://doi.org/10.1111/peps.12077
Garland, E.L., Hanley, A., Farb, N.A., & Froeliger, B. (2015). State mindfulness during meditation predicts enhanced cognitive reappraisal. //Mindfulness, 6//(2), 234-242. https://doi.org/10.1007/s12671-013-0250-6
Skarlicki, D.P., Kay, A.A., Aquino, K., & Fushtey, D. (2017). Must heads roll? a critique of and alternative approaches to swift blame. //Academy of Management Perspectives, 31//(3), 222-238. https://doi.org/10.5465/amp.2015.0118
Garland, E.L., Kiken, L.G., Faurot, K., Palsson, O., & Gaylord, S.A. (2017). Upward spirals of mindfulness and reappraisal: Testing the mindfulness-to-meaning theory with autoregressive latent trajectory modeling. //Cognitive Therapy and Research, 41//(3), 381-392. https://doi.org/10.1007/s10608-016-9768-y
Lei, H., Zhang, X.C., Cai, L., Wang, Y.P., Bai, M., & Zhu, X.Z. (2014). Cognitive emotion regulation strategies in outpatients with major depressive disorder. //Psychiatry Research, 218//(42737), 87-92. https://doi.org/10.1016/j.psychres.2014.04.025
Fan, Y.X., Tang, Y.Y., Tang, R.X., & Posner, M.I. (2015). Time course of conflict processing modulated by brief meditation training. //Frontiers in Psychology, 6//. https://doi.org/10.3389/fpsyg.2015.00911
Gerzina, H.A., & Porfeli, E.J. (2012). Mindfulness as a predictor of positive reappraisal and burnout in standardized patients. //Teaching and Learning in Medicine, 24//(4), 309-314. https://doi.org/10.1080/10401334.2012.715255
Smyth, L.F. (2012). Escalation and mindfulness. //Negotiation Journal, 28//(1), 45-72. https://doi.org/10.1111/j.1571-9979.2011.00325.x
Hayes-Skelton, S., & Graham, J. (2013). Decentering as a common link among mindfulness, cognitive reappraisal, and social anxiety. //Behavioural and Cognitive Psychotherapy, 41//(3), 317-328. https://doi.org/10.1017/S1352465812000902
Reb, J., & Narayanan, J. (2014). The influence of mindful attention on value claiming in distributive negotiations: Evidence from four laboratory experiments. //Mindfulness, 5//(6), 756-766. https://doi.org/10.1007/s12671-013-0232-8
Laurent, H.K., Laurent, S.M., Lightcap, A., & Nelson, B.W. (2016). How situational mindfulness during conflict stress relates to well-being. //Mindfulness, 7//(4), 909-915. https://doi.org/10.1007/s12671-016-0529-5
Smoski, M.J., Keng, S.L., Ji, J.L., Moore, T., Minkel, J., & Dichter, G.S. (2015). Neural indicators of emotion regulation via acceptance vs reappraisal in remitted major depressive disorder. //Social Cognitive and Affective Neuroscience, 10//(9), 1187-1194. https://doi.org/10.1093/scan/nsv003
Keng, S.L., Robins, C.J., Smoski, M.J., Dagenbach, J., & Leary, M.R. (2013). Reappraisal and mindfulness: A comparison of subjective effects and cognitive costs. //Behaviour Research and Therapy, 51//(12), 899-904. https://doi.org/10.1016/j.brat.2013.10.006
Modinos, G., Ormel, J., & Aleman, A. (2010). Individual differences in dispositional mindfulness and brain activity involved in reappraisal of emotion. //Social Cognitive and Affective Neuroscience, 5//(4), 369-377. https://doi.org/10.1093/scan/nsq006
Kivity, Y., Tamir, M., & Huppert, J.D. (2016). Self-acceptance of negative emotions: The positive relationship with effective cognitive reappraisal. //International Journal of Cognitive Therapy, 9//(4), 279-294. https://doi.org/10.1521/ijct_2016_09_10
Kuttner, R. (2012). Cultivating dialogue: From fragmentation to relationality in conflict Interaction. //Negotiation Journal, 28//(3), 315-335. https://doi.org/10.1111/j.1571-9979.2012.00342.x
Brockman, R., Ciarrochi, J., Parker, P., & Kashdan, T. (2017). Emotion regulation strategies in daily life: Mindfulness, cognitive reappraisal and emotion suppression. //Cognitive Behaviour Therapy, 46//(2), 91-113. https://doi.org/10.1080/16506073.2016.1218926
Flor-Henry, P., Shapiro, Y., & Sombrun, C. (2017). Brain changes during a shamanic trance: Altered modes of consciousness, hemispheric laterality, and systemic psychobiology. //Cogent Psychology, 4//. https://doi.org/10.1080/23311908.2017.1313522
Freshman, C., & Guthrie, C. (2009). Managing the goal-setting paradox: How to get better results from high goals and be happy. //Negotiation Journal, 25//(2), 217-231. https://doi.org/10.1111/j.1571-9979.2009.00221.x
Horton-Deutsch, S.L., & Horton, J.M. (2003). Mindfulness: Overcoming intractable conflict. //Archives of Psychiatric Nursing, 17//(4), 186-193. https://doi.org/10.1016/S0883-9417(03)00089-X
Valentine, S., Godkin, L., & Varca, P.E. (2010). Role conflict, mindfulness, and organizational ethics in an education-based healthcare institution. //Journal of Business Ethics, 94//(3), 455-469. https://doi.org/10.1007/s10551-009-0276-9
Barker, M. (2010). Self-care and relationship conflict. //Sexual and Relationship Therapy, 25//(1), 37-47. https://doi.org/10.1080/14681990903479904
Goldin, P.R., Morrison, A.S., Jazaieri, H., Heimberg, R.G., & Gross, J.J. (2017). Trajectories of social anxiety, cognitive reappraisal, and mindfulness during an RCT of CBGT versus MBSR for social anxiety disorder. //Behaviour Research and Therapy, 97//, 1-13. https://doi.org/10.1016/j.brat.2017.06.001
Pinazo, D., & Vazquez, C. (2014). The effect of meditation based on self-observation on cognitive responses in conflictive social interaction. //Nordic Psychology, 66//(3), 202-215. https://doi.org/10.1080/19012276.2014.935460
Laurent, H.K., Hertz, R., Nelson, B., & Laurent, S.M. (2016). Mindfulness during romantic conflict moderates the impact of negative partner behaviors on cortisol responses. //Hormones and Behavior, 79//, 45-51. https://doi.org/10.1016/j.yhbeh.2016.01.005
Cheng, K.S., Chang, Y.F., Han, R.P.S., & Lee, P.F. (2017). Enhanced conflict monitoring via a short-duration, video-assisted deep breathing in healthy young adults: An event-related potential approach through the Go/NoGo paradigm. //PeerJ, 5//, e385. https://doi.org/10.7717/peerj.3857
Hanley, A.W., Palejwala, M.H., Hanley, R.T., Canto, A.I., & Garland, E.L. (2015). A failure in mind: Dispositional mindfulness and positive reappraisal as predictors of academic self-efficacy following failure. //Personality and Individual Differences, 86//, 332-337. https://doi.org/10.1016/j.paid.2015.06.033
Kocovski, N.L., Fleming, J.E., Hawley, L.L., Ho, M.H.R., & Antony, M.M. (2015). Mindfulness and acceptance-based group therapy and traditional cognitive behavioral group therapy for social anxiety disorder: Mechanisms of change. //Behaviour Research and Therapy, 70//, 11-22. https://doi.org/10.1016/j.brat.2015.04.005
Boswell, J.F., Anderson, L.M., & Barlow, D.H. (2014). An idiographic analysis of change processes in the unified transdiagnostic treatment of depression. //Journal of Consulting and Clinical Psychology, 82//(6), 1060-1071. https://doi.org/10.1037/a0037403
Zalta, A. (2016). Contribution of Buddhist mindfulness to the transformation of conflicts – dependent origination (paticca-samuppāda) and deconstruction of identity. //Asian Studies-azijske Studije, 4//(2), 139-151. https://doi.org/10.4312/as.2016.4.2.139-151
Garland, E., Gaylord, S., & Park, J. (2009). The role of mindfulness in positive reappraisal. //Explore: The Journal of Science and Healing, 5//(1), 37-44. https://doi.org/10.1016/j.explore.2008.10.001
Allen, T.D., & Kiburz, K.M. (2012). Trait mindfulness and work-family balance among working parents: The mediating effects of vitality and sleep quality. //Journal of Vocational Behavior, 80//(2), 372-379. https://doi.org/10.1016/j.jvb.2011.09.002
Bormann, J.E., & Carrico, A.W. (2009). Increases in positive reappraisal coping during a group-based mantram intervention mediate sustained reductions in anger in HIV-positive persons. //International Journal of Behavioral Medicine, 16//(1), 74-80. https://doi.org/10.1007/s12529-008-9007-3
Klein, S.R., Renshaw, K.D., & Curby, T.W. (2016). Emotion regulation and perceptions of hostile and constructive criticism in romantic relationships. //Behavior Therapy, 47//(2), 143-154. https://doi.org/10.1016/j.beth.2015.10.007
Carnes, D., Mars, T., Plunkett, A., Nanke, L., & Abbey, H. (2017). A mixed methods evaluation of a third wave cognitive behavioural therapy and osteopathic treatment programme for chronic pain in primary care (osteomap). //International Journal of Osteopathic Medicine, 24//, 12-17. https://doi.org/10.1016/j.ijosm.2017.03.005
Siqueira, R.P., & Pitassi, C. (2016). Sustainability-oriented innovations: Can mindfulness make a difference?. //Journal of Cleaner Production, 139//, 1181-1190. https://doi.org/10.1016/j.jclepro.2016.08.056
Tarantino, N., Lamis, D.A., Ballard, E.D., Masuda, A., & Dvorak, R.D. (2015). Parent-child conflict and drug use in college women: A moderated mediation model of self-control and mindfulness. //Journal of Counseling Psychology, 62//(2), 303-313. https://doi.org/10.1037/cou0000013
Minkle, B., Bashir, A.S., & Sutulov, C. (2008). Peer consultation for mediators: The use of a holding environment to support mediator reflection, inquiry, and self-knowing. //Negotiation Journal, 24//(3), 303-323. https://doi.org/10.1111/j.1571-9979.2008.00186.x
Opialla, S., Lutz, J., Scherpiet, S., Hittmeyer, A., Jancke, L., Rufer, M., ... & Bruhl, A.B. (2015). Neural circuits of emotion regulation: A comparison of mindfulness-based and cognitive reappraisal strategies. //European Archives of Psychiatry and Clinical Neuroscience, 265//(1), 45-55. https://doi.org/10.1007/s00406-014-0510-z
Garland, E.L., Thielking, P., Thomas, E.A., Coombs, M., White, S., Lombardi, J., ... & Beck, A. (2017). Linking dispositional mindfulness and positive psychological processes in cancer survivorship: A multivariate path analytic test of the mindfulness-to-meaning theory. //Psycho-Oncology, 26//(5), 686-692. https://doi.org/10.1002/pon.4065
Min, J.A., Yu, J.J., Lee, C.U., & Chae, J.H. (2013). Cognitive emotion regulation strategies contributing to resilience in patients with depression and/or anxiety disorders. //Comprehensive Psychiatry, 54//(8), 1190-1197. https://doi.org/10.1016/j.comppsych.2013.05.008
Jones, S.M., Bodie, G.D., & Koerner, A.F. (2017). Connections between family communication patterns, person-centered message evaluations, and emotion regulation strategies. //Human Communication Research, 43//(2), 237-255. https://doi.org/10.1111/hcre.12103
Saavedra, M.C., Chapman, K.E., & Rogge, R.D. (2010). Clarifying links between attachment and relationship quality: Hostile conflict and mindfulness as moderators. //Journal of Family Psychology, 24//(4), 380-390. https://doi.org/10.1037/a0019872
Hertz, R.M., Laurent, H.K., & Laurent, S.M. (2015). Attachment mediates effects of trait mindfulness on stress responses to conflict. //Mindfulness, 6//(3), 483-489. https://doi.org/10.1007/s12671-014-0281-7
Laurent, H., Laurent, S., Hertz, R., Egan-Wright, D., & Granger, D.A. (2013). Sex-specific effects of mindfulness on romantic partners' cortisol responses to conflict and relations with psychological adjustment. //Psychoneuroendocrinology, 38//(12), 2905-2913. https://doi.org/10.1016/j.psyneuen.2013.07.018
Wolgast, M., Lundh, L.G., & Viborg, G. (2013). Experiential avoidance as an emotion regulatory function: An empirical analysis of experiential avoidance in relation to behavioral avoidance, cognitive reappraisal, and response suppression. //Cognitive Behaviour Therapy, 42//(3), 224-232. https://doi.org/10.1080/16506073.2013.773059
Jha, A.P., Krompinger, J., & Baime, M.J. (2007). Mindfulness training modifies subsystems of attention. //Cognitive Affective & Behavioral Neuroscience, 7//(2), 109-119. https://doi.org/10.3758/CABN.7.2.109
Gaztambide, D.J. (2012). Addressing cultural impasses with rupture resolution strategies: A proposal and recommendations. //Professional Psychology-research and Practice, 43//(3), 183-189. https://doi.org/10.1037/a0026911
Keng, S.L., Tan, E.L.Y., Eisenlohr-Moul, T.A., & Smoski, M.J. (2017). Effects of mindfulness, reappraisal, and suppression on sad mood and cognitive resources. //Behaviour Research and Therapy, 91//, 33-42. https://doi.org/10.1016/j.brat.2017.01.006
North, R.J., Meyerson, R.L., Brown, D.N., & Holahan, C.J. (2013). The language of psychological change: Decoding an expressive writing paradigm. //Journal of Language and Social Psychology, 32//(2), 142-161. https://doi.org/10.1177/0261927X12456381
Rood, L., Roelofs, J., Bogels, S.M., & Arntz, A. (2012). The effects of experimentally induced rumination, positive reappraisal, acceptance, and distancing when thinking about a stressful event on affect states in adolescents. //Journal of Abnormal Child Psychology, 40//(1), 73-84. https://doi.org/10.1007/s10802-011-9544-0
Coates, C.A. (2015). The parenting coordinator as peacemaker and peacebuilder. //Family Court Review, 53//(3), 398-406. https://doi.org/10.1111/fcre.12161
Shao, D., Gao, W., & Cao, F.L. (2016). Brief psychological intervention in patients with cervical cancer: A randomized controlled trial. //Health Psychology, 35//(12), 1383-1391. https://doi.org/10.1037/hea0000407
Rothman, J. (2014). The reflexive mediator. //Negotiation Journal, 30//(4), 441-453. https://doi.org/10.1111/nejo.12070
Keng, S.L., Smoski, M.J., & Robins, C.J. (2016). Effects of mindful acceptance and reappraisal training on maladaptive beliefs about rumination. //Mindfulness, 7//(2), 493-503. https://doi.org/10.1007/s12671-015-0480-x
Lalot, F., Delplanque, S., & Sander, D. (2014). Mindful regulation of positive emotions: A comparison with reappraisal and expressive suppression. //Frontiers in Psychology, 5//. https://doi.org/10.3389/fpsyg.2014.00243
Laurent, H.K., Laurent, S.M., Nelson, B., Wright, D.B., & Sanchez, M.A.D. (2015). Dispositional mindfulness moderates the effect of a brief mindfulness induction on physiological stress responses. //Mindfulness, 6//(5), 1192-1200. https://doi.org/10.1007/s12671-014-0377-0
Ortner, C.N.M. (2015). Divergent effects of reappraisal and labeling internal affective feelings on subjective emotional experience. //Motivation and Emotion, 39//(4), 563-570. https://doi.org/10.1007/s11031-015-9473-2
Allen, M., Dietz, M., Blair, K.S., van Beek, M., Rees, G., Vestergaard-Poulsen, P., ... & Roepstorff, A. (2012). Cognitive-affective neural plasticity following active-controlled mindfulness intervention. //Journal of Neuroscience, 32//(44), 15601-15610. https://doi.org/10.1523/JNEUROSCI.2957-12.2012
Brach, D. (2008). A logic for the magic of mindful negotiation. //Negotiation Journal, 24//(1), 25-44. https://doi.org/10.1111/j.1571-9979.2007.00165.x
Ndubisi, N.O. (2012). Mindfulness, reliability, pre-emptive conflict handling, customer orientation and outcomes in Malaysia's healthcare sector. //Journal of Business Research, 65//(4), 537-546. https://doi.org/10.1016/j.jbusres.2011.02.019
Jo, H.G., Malinowski, P., & Schmidt, S. (2017). Frontal theta dynamics during response conflict in long-term mindfulness meditators. //Frontiers in Human Neuroscience, 11//. https://doi.org/10.3389/fnhum.2017.00299
[img[tps22.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Bryan, S., Zipp, G.P., & Parasher, R. (2012). The effects of yoga on psychosocial variables and exercise adherence: A randomized, controlled pilot study. //Alternative Therapies in Health and Medicine, 18//(5), 50-59.
Szabo, A., Nikhazy, L., Tihanyi, B., & Boros, S. (2017). An in-situ investigation of the acute effects of Bikram yoga on positive- and negative affect, and state-anxiety in context of perceived stress. //Journal of Mental Health, 26//(2), 156-160. https://doi.org/10.1080/09638237.2016.1222059
Satin, J.R., Linden, W., & Millman, R.D. (2014). Yoga and psychophysiological determinants of cardiovascular health: Comparing yoga practitioners, runners, and sedentary individuals. //Annals of Behavioral Medicine, 47//(2), 231-241. https://doi.org/10.1007/s12160-013-9542-2
Luu, K., & Hall, P.A. (2017). Examining the acute effects of Hatha yoga and mindfulness meditation on executive function and mood. //Mindfulness, 8//(4), 873-880. https://doi.org/10.1007/s12671-016-0661-2
Uebelacker, L.A., Weinstock, L.M., & Kraines, M.A. (2014). Self-reported benefits and risks of yoga in individuals with bipolar disorder. //Journal of Psychiatric Practice, 20//(5), 345-352. https://doi.org/10.1097/01.pra.0000454779.59859.f8
Brisbon, N.M., & Lowery, G.A. (2011). Mindfulness and levels of stress: A comparison of beginner and advanced Hatha yoga practitioners. //Journal of Religion & Health, 50//(4), 931-941. https://doi.org/10.1007/s10943-009-9305-3
Froeliger, B., Garland, E.L., & McClernon, F.J. (2012). Yoga Meditation Practitioners Exhibit Greater Gray Matter Volume and Fewer Reported Cognitive Failures: Results of a Preliminary Voxel-Based Morphometric Analysis. //Evidence-based Complementary and Alternative Medicine, 2012//, 821307. https://doi.org/10.1155/2012/821307
Noggle, J.J., Steiner, N.J., Minami, T., & Khalsa, S.B.S. (2012). Benefits of yoga for psychosocial well-being in a us high school curriculum: A preliminary randomized controlled trial. //Journal of Developmental and Behavioral Pediatrics, 33//(3), 193-201. https://doi.org/10.1097/DBP.0b013e31824afdc4
Uebelacker, L.A., Kraines, M., Broughton, M.K., Tremont, G., Gillette, L.T., Epstein-Lubow, G., ... & Miller, I.W. (2017). Perceptions of hatha yoga amongst persistently depressed individuals enrolled in a trial of yoga for depression. //Complementary Therapies in Medicine, 34//, 149-155. https://doi.org/10.1016/j.ctim.2017.06.008
Ross, A., Friedmann, E., Bevans, M., & Thomas, S. (2013). National survey of yoga practitioners: Mental and physical health benefits. //Complementary Therapies in Medicine, 21//(4), 313-323. https://doi.org/10.1016/j.ctim.2013.04.001
Hewett, Z.L., Ransdell, L.B., Gao, Y., Petlichkoff, L.M., & Lucas, S. (2011). An examination of the effectiveness of an 8-week Bikram yoga program on mindfulness, perceived stress, and physical fitness. //Journal of Exercise Science & Fitness, 9//(2), 87-92.
https://doi.org/10.1016/S1728-869X(12)60003-3
Ulanowski, E.A., Danzl, M., Schwartz, V., & Reed, C. (2017). A qualitative examination of physiotherapist led community-based yoga for individuals with Huntington's disease. //Complementary Therapies in Clinical Practice, 28//, 146-151. https://doi.org/10.1016/j.ctcp.2017.06.002
Quach, D., Gibler, R.C., & Mano, K.E.J. (2017). Does home practice compliance make a difference in the effectiveness of mindfulness interventions for adolescents?. //Mindfulness, 8//(2), 495-504. https://doi.org/10.1007/s12671-016-0624-7
Donesky-Cuenco, D., Nguyen, H.Q., Paul, S., & Carrieri-Kohlman, V. (2009). Yoga therapy decreases dyspnea-related distress and improves functional performance in people with chronic obstructive pulmonary disease: A pilot study. //Journal of Alternative and Complementary Medicine, 15//(3), 225-234. https://doi.org/10.1089/acm.2008.0389
Uebelacker, L.A., Epstein-Lubow, G., Gaudiano, B.A., Tremont, G., Battle, C.L., & Miller, I.W. (2010). Hatha yoga for depression: Critical review of the evidence for efficacy, plausible mechanisms of action, and directions for future research. //Journal of Psychiatric Practice, 16//(1), 22-33. https://doi.org/10.1097/01.pra.0000367775.88388.96.
de Manincor, M., Bensoussan, A., Smith, C.A., Barr, K., Schweickle, M., Donoghoe, L.L., ... & Fahey, P. (2016). Individualized yoga for reducing depression and anxiety, and improving well-being: A randomized controlled trial. //Depression and Anxiety, 33//(9), 816-828. https://doi.org/10.1002/da.22502
Medina, J., Hopkins, L., Powers, M., Baird, S.O., & Smits, J. (2015). The effects of a Hatha yoga intervention on facets of distress tolerance. //Cognitive Behaviour Therapy, 44//(4), 288-300. https://doi.org/10.1080/16506073.2015.1028433
Lim, S.A., & Cheong, K.J. (2015). Regular yoga practice improves antioxidant status, immune function, and stress hormone releases in young healthy people: A randomized, double-blind, controlled pilot study. //Journal of Alternative and Complementary Medicine, 21//(9), 530-538. https://doi.org/10.1089/acm.2014.0044
Butterfield, N., Schultz, T., Rasmussen, P., & Proeve, M. (2017). Yoga and mindfulness for anxiety and depression and the role of mental health professionals: A literature review. //Journal of Mental Health training education and practice, 12//(1), 44-54. https://doi.org/10.1108/JMHTEP-01-2016-0002
Brunner, D., Abramovitch, A., & Etherton, J. (2017). A yoga program for cognitive enhancement. //PLOS ONE, 12//(8), e0182366. https://doi.org/10.1371/journal.pone.0182366
Ross, A., Friedmann, E., Bevans, M., & Thomas, S. (2012). Frequency of yoga practice predicts health: Results of a national survey of yoga practitioners. //Evidence-based Complementary and Alternative Medicine, 2012//, 983258. https://doi.org/10.1155/2012/983258
Bock, B.C., Rosen, R.K., Fava, J.L., Gaskins, R.B., Jennings, E., Thind, H., ... & Marcus, B.H. (2014). Testing the efficacy of yoga as a complementary therapy for smoking cessation: Design and methods of the BreathEasy trial. //Contemporary Clinical Trials, 38//(2), 321-332. https://doi.org/10.1016/j.cct.2014.06.003
Villemure, C., Ceko, M., Cotton, V.A., & Bushnell, M.C. (2015). Neuroprotective effects of yoga practice: Age-, experience-, and frequency-dependent plasticity. //Frontiers in Human Neuroscience, 9//, 281. https://doi.org/10.3389/fnhum.2015.00281
Butzer, B., LoRusso, A.M., Windsor, R., Riley, F., Frame, K., Khalsa, S.B.S., ... & Conboy, L. (2017). A qualitative examination of yoga for middle school adolescents. //Advances in School Mental Health Promotion, 10//(3), 195-219. https://doi.org/10.1080/1754730X.2017.1325328
Schmalzl, L., Powers, C., & Blom, E.H. (2015). Neurophysiological and neurocognitive mechanisms underlying the effects of yoga-based practices: Towards a comprehensive theoretical framework. //Frontiers in Human Neuroscience, 9//, 235. https://doi.org/10.3389/fnhum.2015.00235
Evans, S., Cousins, L., Tsao, J.C.I., Sternlieb, B., & Zeltzer, L.K. (2011). Protocol for a randomized controlled study of Iyengar yoga for youth with irritable bowel syndrome. //Trials, 12//, 15. https://doi.org/10.1186/1745-6215-12-15
Gard, T., Noggle, J.J., Park, C.L., Vago, D.R., & Wilson, A. (2014). Potential self-regulatory mechanisms of yoga for psychological health. //Frontiers in Human Neuroscience, 8//, 770. https://doi.org/10.3389/fnhum.2014.00770
Butzer, B., Ahmed, K., & Khalsa, S.B.S. (2016). Yoga enhances positive psychological states in young adult musicians. //Applied Psychophysiology and Biofeedback, 41//(2), 191-202. https://doi.org/10.1007/s10484-015-9321-x
Villemure, C., Ceko, M., Cotton, V.A., & Bushnell, M.C. (2014). Insular cortex mediates increased pain tolerance in yoga practitioners. //Cerebral Cortex, 24//(10), 2732-2740. https://doi.org/10.1093/cercor/bht124
Cramer, H., Sibbritt, D., Park, C.L., Adams, J., & Lauche, R. (2017). Is the practice of yoga or meditation associated with a healthy lifestyle? Results of a national cross-sectional survey of 28,695 Australian women. //Journal of Psychosomatic Research, 101//, 104-109. https://doi.org/10.1016/j.jpsychores.2017.07.013
Meissner, M., Cantell, M.H., Steiner, R., & Sanchez, X. (2016). Evaluating emotional well-being after a short-term traditional yoga practice approach in yoga practitioners with an existing western-type yoga practice. //Evidence-based Complementary and Alternative Medicine, 2016//, 7216982. https://doi.org/10.1155/2016/7216982
Call, D., Miron, L., & Orcutt, H. (2014). Effectiveness of brief mindfulness techniques in reducing symptoms of anxiety and stress. //Mindfulness, 5//(6), 658-668. https://doi.org/10.1007/s12671-013-0218-6
Rocha, K.K.F., Ribeiro, A.M., Rocha, K.C.F., Sousa, M.B.C., Albuquerque, F.S., Ribeiro, S., ... & Silva, R.H. (2012). Improvement in physiological and psychological parameters after 6 months of yoga practice. //Consciousness and Cognition, 21//(2), 843-850. https://doi.org/10.1016/j.concog.2012.01.014
Schuver, K.J., & Lewis, B.A. (2016). Mindfulness-based yoga intervention for women with depression. //Complementary Therapies in Medicine, 26//, 85-91. https://doi.org/10.1016/j.ctim.2016.03.003
Bartlett, S.J., Moonaz, S.H., Mill, C., Bernatsky, S., & Bingham, C.O. (2013). Yoga in rheumatic diseases. //Current Rheumatology Reports, 15//, 387. https://doi.org/10.1007/s11926-013-0387-2
Lauche, R., Sibbritt, D., Ostermann, T., Fuller, N.R., Adams, J., & Cramer, H. (2017). Associations between yoga/meditation use, body satisfaction, and weight management methods: Results of a national cross-sectional survey of 8009 Australian women. //Nutrition, 34//, 58-64. https://doi.org/10.1016/j.nut.2016.09.007
Evans, S., Moieni, M., Lung, K., Tsao, J., Sternlieb, B., Taylor, M., ... & Zeltzer, L. (2013). Impact of Iyengar yoga on quality of life in young women with rheumatoid arthritis. //Clinical Journal of Pain, 29//(11), 988-997. https://doi.org/10.1097/AJP.0b013e31827da381
Rhodes, A., Spinazzola, J., & van der Kolk, B. (2016). Yoga for adult women with chronic PTSD: A long-term follow-up study. //Journal of Alternative and Complementary Medicine, 22//(3), 189-196. https://doi.org/10.1089/acm.2014.0407
van der Kolk, B.A., Stone, L., West, J., Rhodes, A., Emerson, D., Suvak, M., ... & Spinazzola, J. (2014). Yoga as an adjunctive treatment for posttraumatic stress disorder: A randomized controlled trial. //Journal of Clinical Psychiatry, 75//(6), E559-E565. https://doi.org/10.4088/JCP.13m08561
Afonso, R.F., Balardin, J.B., Lazar, S., Sato, J.R., Igarashi, N., Santaella, D.F., ... & Kozasa, E.H. (2017). Greater cortical thickness in elderly female yoga practitioners-a cross-sectional study. //Frontiers in Aging Neuroscience, 9//, 201. https://doi.org/10.3389/fnagi.2017.00201
Oken, B.S., Zajdel, D., Kishiyama, S., Flegal, K., Dehen, C., Haas, M., ... & Leyva, J. (2006). Randomized, controlled, six-month trial of yoga in healthy seniors: Effects on cognition and quality of life. //Alternative Therapies in Health and Medicine, 12//(1), 40-47.
Jindani, F., Turner, N., & Khalsa, S.B.S. (2015). A yoga intervention for posttraumatic stress: A preliminary randomized control trial. //Evidence-based Complementary and Alternative Medicine, 2015//, 351746. https://doi.org/10.1155/2015/351746
Shelov, D.V., Suchday, S., & Friedberg, J.P. (2009). A pilot study measuring the impact of yoga on the trait of mindfulness. //Behavioural and Cognitive Psychotherapy, 37//(5), 595-598. https://doi.org/10.1017/S1352465809990361
Toise, S.C.F., Sears, S.F., Schoenfeld, M.H., Blitzer, M.L., Marieb, M.A., Drury, J.H., ... & Donohue, T.J. (2014). Psychosocial and cardiac outcomes of yoga for ICD patients: A randomized clinical control trial. //Pace-pacing and Clinical Electrophysiology, 37//(1), 48-62. https://doi.org/10.1111/pace.12252
Gaiswinkler, L., & Unterrainer, H.F. (2016). The relationship between yoga involvement, mindfulness and psychological well-being. //Complementary Therapies in Medicine, 26//, 123-127. https://doi.org/10.1016/j.ctim.2016.03.011
Hallgren, M., Romberg, K., Bakshi, A.S., & Andreasson, S. (2014). Yoga as an adjunct treatment for alcohol dependence: A pilot study. //Complementary Therapies in Medicine, 22//(3), 441-445. https://doi.org/10.1016/j.ctim.2014.03.003
Kahya, H.H., & Raspin, C.G. (2017). Yoga therapy for the mind eight-week course: Participants' experiences. //Explore: The Journal of Science and Healing, 13//(2), 116-123. https://doi.org/10.1016/j.explore.2016.12.006
Daly, L.A., Haden, S.C., Hagins, M., Papouchis, N., & Ramirez, P.M. (2015). Yoga and emotion regulation in high school students: A randomized controlled trial. //Evidence-based Complementary and Alternative Medicine, 2015//, 794928. https://doi.org/10.1155/2015/794928
Tihanyi, B.T., Boor, P., Emanuelsen, L., & Koteles, F. (2016). Mediators between yoga practice and psychological well-being mindfulness, body awareness and satisfaction with body image. //European Journal of Mental Health, 11//(1-2), 112-127. https://doi.org/10.5708/EJMH.11.2016.1-2.7
Thomas, R., Quinlan, E., Kowalski, K., Spriggs, P., & Hamoline, R. (2014). Beyond the body insights from an Iyengar yoga program for women with disability after breast cancer. //Holistic Nursing Practice, 28//(6), 353-361. https://doi.org/10.1097/HNP.0000000000000049
Dhikav, V., Karmarkar, G., Gupta, R., Verma, M., Gupta, R., Gupta, S., ... & Anand, K.S. (2010). Yoga in female sexual functions. //Journal of Sexual Medicine, 7//(2), 964-970. https://doi.org/10.1111/j.1743-6109.2009.01580.x
Harkess, K.N., Delfabbro, P., Mortimer, J., Hannaford, Z., & Cohen-Woods, S. (2017). Brief report on the psychophysiological effects of a yoga intervention for chronic stress preliminary findings. //Journal of Psychophysiology, 31//(1), 38-48. https://doi.org/10.1027/0269-8803/a000169
Baker, J., Costa, D., Guarino, J.M., & Nygaard, I. (2014). Comparison of mindfulness-based stress reduction versus yoga on urinary urge incontinence: A randomized pilot study. With 6-month and 1-year follow-up visits. //Female Pelvic Medicine and Reconstructive Surgery, 20//(3), 141-146. https://doi.org/10.1097/SPV.0000000000000061
Fishbein, D., Miller, S., Herman-Stahl, M., Williams, J., Lavery, B., Markovitz, L., ... & Johnson, M. (2016). Behavioral and psychophysiological effects of a yoga intervention on high-risk adolescents: A randomized control trial. //Journal of Child and Family Studies, 25//(2), 518-529. https://doi.org/10.1007/s10826-015-0231-6
Mackenzie, M.J., Carlson, L.E., Ekkekakis, P., Paskevich, D.M., & Culos-Reed, S.N. (2013). Affect and mindfulness as predictors of change in mood disturbance, stress symptoms, and quality of life in a community-based yoga program for cancer survivors. //Evidence-based Complementary and Alternative Medicine, 2013//, 419496. https://doi.org/10.1155/2013/419496
Bowden, D., Gaudry, C., An, S.C., & Gruzelier, J. (2012). A comparative randomised controlled trial of the effects of brain wave vibration training, Iyengar yoga, and mindfulness on mood, well-being, and salivary cortisol. //Evidence-based Complementary and Alternative Medicine, 2012//, 234713. https://doi.org/10.1155/2012/234713
Salmon, P., Lush, E., Jablonski, M., & Sephton, S.E. (2009). Yoga and mindfulness: Clinical aspects of an ancient mind/body practice. //Cognitive and Behavioral Practice, 16//(1), 59-72. https://doi.org/10.1016/j.cbpra.2008.07.002
Alexander, G.K., Rollins, K., Walker, D., Wong, L., & Pennings, J. (2015). Yoga for self-care and burnout prevention among nurses. //Workplace Health & Safety, 63//(10), 462-470. https://doi.org/10.1177/2165079915596102
Hofmann, S.G., Curtiss, J., Khalsa, S.B.S., Hoge, E., Rosenfield, D., Bui, E., ... & Simon, N. (2015). Yoga for generalized anxiety disorder: Design of a randomized controlled clinical trial. //Contemporary Clinical Trials, 44//, 70-76. https://doi.org/10.1016/j.cct.2015.08.003
Miyata, H., Okanoya, K., & Kawai, N. (2015). Mindfulness and psychological status of Japanese yoga practitioners: A cross-sectional study. //Mindfulness, 6//(3), 560-571. https://doi.org/10.1007/s12671-014-0288-0
Curtis, K., Kuluski, K., Bechsgaard, G., Ridgway, J., & Katz, J. (2016). Evaluation of a specialized yoga program for persons admitted to a complex continuing care hospital: A pilot study. //Evidence-based Complementary and Alternative Medicine, 2016//, 6267879. https://doi.org/10.1155/2016/6267879
Hagins, M., & Rundle, A. (2016). Yoga improves academic performance in urban high school students compared to physical education: A randomized controlled trial. //Mind Brain and Education, 10//(2), 105-116. https://doi.org/10.1111/mbe.12107
Carson, J.W., Carson, K.M., Olsen, M.K., Sanders, L., & Porter, L.S. (2017). Mindful yoga for women with metastatic breast cancer: Design of a randomized controlled trial. //BMC Complementary and Alternative Medicine, 17//, 153. https://doi.org/10.1186/s12906-017-1672-9
Butzer, B., LoRusso, A., Shin, S.H., & Khalsa, S.B.S. (2017). Evaluation of yoga for preventing adolescent substance use risk factors in a middle school setting: A preliminary group-randomized controlled trial. //Journal of Youth and Adolescence, 46//(3), 603-632. https://doi.org/10.1007/s10964-016-0513-3
Yook, Y.S., Kang, S.J., & Park, I. (2017). Effects of physical activity intervention combining a new sport and mindfulness yoga on psychological characteristics in adolescents. //International Journal of Sport and Exercise Psychology, 15//(2), 109-117. https://doi.org/10.1080/1612197X.2015.1069878
Das, M., Deepeshwar, S., Subramanya, P., & Manjunath, N.K. (2016). Influence of yoga-based personality development program on psychomotor performance and self-efficacy in school children. //Frontiers in Pediatrics, 4//, 62. https://doi.org/10.3389/fped.2016.00062
Quach, D., Mano, K.E.J., & Alexander, K. (2016). A randomized controlled trial examining the effect of mindfulness meditation on working memory capacity in adolescents. //Journal of Adolescent Health, 58//(5), 489-496. https://doi.org/10.1016/j.jadohealth.2015.09.024
Tul, Y., Unruh, A., & Dick, B.D. (2011). Yoga for chronic pain management: A qualitative exploration. //Scandinavian Journal of Caring Sciences, 25//(3), 435-443. https://doi.org/10.1111/j.1471-6712.2010.00842.x
Khalsa, S.B.S., & Butzer, B. (2016). Yoga in school settings: A research review. //Special Issue: Advances in Meditation Research, 1373//, 45-55. https://doi.org/10.1111/nyas.13025
Beddoe, A.E., Yang, C.P.P., Kennedy, H.P., Weiss, S.J., & Lee, K.A. (2009). The effects of mindfulness-based yoga during pregnancy on maternal psychological and physical distress. //Journal of Obstetric Gynecologic and Neonatal Nursing, 38//(3), 310-319. https://doi.org/10.1111/j.1552-6909.2009.01023.x
Carson, J.W., Carson, K.M., Jones, K.D., Bennett, R.M., Wright, C.L., & Mist, S.D. (2010). A pilot randomized controlled trial of the yoga of awareness program in the management of fibromyalgia. //Pain, 151//(2), 530-539. https://doi.org/10.1016/j.pain.2010.08.020
Sohl, S.J., Wallston, K.A., Watkins, K., & Birdee, G.S. (2016). Yoga for risk reduction of metabolic syndrome: Patient-reported outcomes from a randomized controlled pilot study. //Evidence-based Complementary and Alternative Medicine, 2016//, 3094589. https://doi.org/10.1155/2016/3094589
Sistig, B., Friedman, S.H., McKenna, B., & Consedine, N.S. (2015). Mindful yoga as an adjunct treatment for forensic inpatients: A preliminary evaluation. //Journal of Forensic Psychiatry & Psychology, 26//(6), 824-846. https://doi.org/10.1080/14789949.2015.1062996
Bergen-Cico, D., Razza, R., & Timmins, A. (2015). Fostering self-regulation through curriculum infusion of mindful yoga: A pilot study of efficacy and feasibility. //Journal of Child and Family Studies, 24//(11), 3448–3461. https://doi.org/10.1007/s10826-015-0146-2
Sistig, B., Lambrecht, I., & Friedman, S.H. (2015). Journey back into body and soul - An exploration of mindful yoga with psychosis. //Psychosis: Psychological, Social and Integrative Approaches, 7//(1), 25-36. https://doi.org/10.1080/17522439.2014.885556
Cohen, L., Warneke, C., Fouladi, R.T., Rodriguez, M.A., & Chaoul-Reich, A. (2004). Psychological adjustment and sleep quality in a randomized trial of the effects of a Tibetan yoga intervention in patients with lymphoma. //Cancer, 100//(10), 2253-2260. https://doi.org/10.1002/cncr.20236
Bonura, K.B., & Tenenbaum, G. (2014). Effects of yoga on psychological health in older adults. //Journal of Physical Activity & Health, 11//(7), 1334-1341. https://doi.org/10.1123/jpah.2012-0365
Mathad, M.D., Pradhan, B., & Sasidharan, R.K. (2017). Effect of yoga on psychological functioning of nursing students: A randomized wait list control trial. //Journal of Clinical and Diagnostic Research, 11//(5), KC01-KC05. https://doi.org/10.7860/JCDR/2017/26517.9833
Glasser, L. (2017). Fostering well-being in education through yoga and mindfulness in the snow (snowga). //Learning Landscapes, 10//(2), 159-172.
Howie-Esquivel, J., Lee, J., Collier, G., Mehling, W., & Fleischmann, K. (2010). Yoga in heart failure patients: A pilot study. //Journal of Cardiac Failure, 16//(9), 742-749. https://doi.org/10.1016/j.cardfai1.2010.04.011
Curtis, K., Hitzig, S.L., Bechsgaard, G., Stoliker, C., Alton, C., Saunders, N., ... & Katz, J. (2017). Evaluation of a specialized yoga program for persons with a spinal cord injury: A pilot randomized controlled trial. //Journal of Pain Research, 10//, 999-1017. https://doi.org/10.2147/JPR.S130530
Modestino, E.J. (2016). Neurophenomenology of an altered state of consciousness: An fMRI case study. //Explore: The Journal of Science and Healing, 12//(2), 128-135. https://doi.org/10.1016/j.explore.2015.12.004
Dick, A.M., Niles, B.L., Street, A.E., DiMartino, D.M., & Mitchell, K.S. (2014). Examining mechanisms of change in a yoga intervention for women: The influence of mindfulness, psychological flexibility, and emotion regulation on PTSD symptoms. //Journal of Clinical Psychology, 70//(12), 1170-1182. https://doi.org/10.1002/jclp.22104
Halsall, T., Werthner, P., & Forneris, T. (2016). Cultivating focus: Insights from dedicated yoga practice and the implications for mental health and well-being. //Qualitative Research in Sport Exercise and Health, 8//(2), 165-179. https://doi.org/10.1080/2159676X.2015.1099562
Gard, T., Taquet, M., Dixit, R., Holzel, B.K., Dickerson, B.C., & Lazar, S.W. (2015). Greater widespread functional connectivity of the caudate in older adults who practice Kripalu yoga and Vipassana meditation than in controls. //Frontiers in Human Neuroscience, 9//, 137. https://doi.org/10.3389/fnhum.2015.00137
Gould, L.F., Dariotis, J.K., Greenberg, M.T., & Mendelson, T. (2016). Assessing fidelity of implementation (foi) for school-based mindfulness and yoga interventions: A systematic review. //Mindfulness, 7//(1), 5-33. https://doi.org/10.1007/s12671-015-0395-6
Wiesner, J. (2010). Taming the wild elephant: Yoga, cognition and emotion. //Man in India, 90//(1-2), 329-342.
Falsafi, N. (2016). A randomized controlled trial of mindfulness versus yoga: Effects on depression and/or anxiety in college students. //Journal of the American Psychiatric Nurses Association, 22//(6), 483-497. https://doi.org/10.1177/1078390316663307
Uebelacker, L.A., Tremont, G., Epstein-Lubow, G., Gaudiano, B.A., Gillette, T., Kalibatseva, Z., ... & Miller, I.W. (2010). Open trial of Vinyasa yoga for persistently depressed individuals: Evidence of feasibility and acceptability. //Behavior Modification, 34//(3), 247-264. https://doi.org/10.1177/0145445510368845
Wang, D.N., & Hagins, M. (2016). Perceived benefits of yoga among urban school students: A qualitative analysis. //Evidence-based Complementary and Alternative Medicine, 2016//, 8725654. https://doi.org/10.1155/2016/8725654
Steiner, N.J., Sidhu, T.K., Pop, P.G., Frenette, E.C., & Perrin, E.C. (2013). Yoga in an urban school for children with emotional and behavioral disorders: A feasibility study. //Journal of Child and Family Studies, 22//(6), 815-826. https://doi.org/10.1007/s10826-012-9636-7
Danucalov, M.A.D., Kozasa, E.H., Afonso, R.F., Galduroz, J.C.F., & Leite, J.R. (2017). Yoga and compassion meditation program improve quality of life and self-compassion in family caregivers of Alzheimer's disease patients: A randomized controlled trial. //Geriatrics & Gerontology International, 17//(1), 85-91. https://doi.org/10.1111/ggi.12675
de Castro, J.M. (2015). Meditation has stronger relationships with mindfulness, kundalini, and mystical experiences than yoga or prayer. //Consciousness and Cognition, 35//, 115-127. https://doi.org/10.1016/j.concog.2015.04.022
Strauss, R.J., & Northcut, T.B. (2014). Using yoga interventions to enhance clinical social work practices with young women with cancer. //Clinical Social Work Journal, 42//(3), 228-236. https://doi.org/10.1007/s10615-012-0430-1
Brotto, L.A., Krychman, M., & Jacobson, P. (2008). Eastern approaches for enhancing women's sexuality: Mindfulness, acupuncture, and yoga (CME). //Journal of Sexual Medicine, 5//(12), 2741-2748. https://doi.org/10.1111/j.1743-6109.2008.01071.x
Carson, J.W., Carson, K.M., Jones, K.D., Mist, S.D., & Bennett, R.M. (2012). Follow-up of yoga of awareness for fibromyalgia results at 3 months and replication in the wait-list group. //Clinical Journal of Pain, 28//(9), 804-813. https://doi.org/10.1097/AJP.0b013e31824549b5
Berezowski, K.A., Gilham, C.M., & Robinson, D.B. (2017). A mindfulness curriculum: High school students' experiences of yoga in a nova scotia school. //Learning Landscapes, 10//(2), 45-58.
Shahtaheri, E., Hosseinian, S., Ebrahimi, M., Jalilabadi, Z., & Mirderikvand, F. (2016). The impact of stress reduction program based on mindfulness and conscious yoga on depression, perceived stress and quality of life in pregnant women. //Acta Medica Mediterranea, 32//, 2047-2050.
Gallegos, A.M., Hoerger, M., Talbot, N.L., Krasner, M.S., Knight, J.M., Moynihan, J.A., ... & Duberstein, P.R. (2013). Toward identifying the effects of the specific components of mindfulness-based stress reduction on biologic and emotional outcomes among older adults. //Journal of Alternative and Complementary Medicine, 19//(10), 787-792. https://doi.org/10.1089/acm.2012.0028
Cohen, D.L., Wintering, N., Tolles, V., Townsend, R.R., Farrar, J.T., Galantino, M.L., ... & Newberg, A.B. (2009). Cerebral blood flow effects of yoga training: Preliminary evaluation of 4 cases. //Journal of Alternative and Complementary Medicine, 15//(1), 9-14. https://doi.org/10.1089/acm.2008.0008
Bussing, A., Edelhauser, F., Weisskircher, A., Fouladbakhsh, J.M., & Heusser, P. (2011). Inner correspondence and peacefulness with practices among participants in eurythmy therapy and yoga: A validation study. //Evidence-based Complementary and Alternative Medicine, 2011//, 329023. https://doi.org/10.1155/2011/329023
Donnelly, K.Z., Linnea, K., Grant, D.A., & Lichtenstein, J. (2017). The feasibility and impact of a yoga pilot programme on the quality-of-life of adults with acquired brain injury. //Brain Injury, 31//(2), 208-214. https://doi.org/10.1080/02699052.2016.1225988
Sauer-Zavala, S.E., Walsh, E.C., Eisenlohr-Moul, T.A., & Lykins, E.L.B. (2013). Comparing mindfulness-based intervention strategies: Differential effects of sitting meditation, body scan, and mindful yoga. //Mindfulness, 4//(4), 383-388. https://doi.org/10.1007/s12671-012-0139-9
Bock, B.C., Morrow, K.M., Becker, B.M., Williams, D.M., Tremont, G., Gaskins, R.B., ... & Marcus, B.H. (2010). Yoga as a complementary treatment for smoking cessation: Rationale, study design and participant characteristics of the quitting-in-balance study. //BMC Complementary and Alternative Medicine, 10//, 14. https://doi.org/10.1186/1472-6882-10-14
Auty, K.M., Cope, A., & Liebling, A. (2017). A systematic review and meta-analysis of yoga and mindfulness meditation in prison: Effects on psychological well-being and behavioural functioning. //International Journal of Offender Therapy and Comparative Criminology, 61//(6), 689-710. https://doi.org/10.1177/0306624X15602514
Wolever, R.Q., Bobinet, K.J., McCabe, K., Mackenzie, E.R., Fekete, E., Kusnick, C.A., ... & Baime, M. (2012). Effective and viable mind-body stress reduction in the workplace: A randomized controlled trial. //Journal of Occupational Health Psychology, 17//(2), 246-258. https://doi.org/10.1037/a0027278
Gard, T., Brach, N., Holzel, B.K., Noggle, J.J., Conboy, L.A., & Lazar, S.W. (2012). Effects of a yoga-based intervention for young adults on quality of life and perceived stress: The potential mediating roles of mindfulness and self-compassion. //Journal of Positive Psychology, 7//(3), 165-175. https://doi.org/10.1080/17439760.2012.667144
Beddoe, A.E., Lee, K.A., Weiss, S.J., Kennedy, H.P., & Yang, C.P.P. (2010). Effects of mindful yoga on sleep in pregnant women: A pilot study. //Biological Research for Nursing, 11//(4), 363-370. https://doi.org/10.1177/1099800409356320
Crews, D.A., Stolz-Newton, M., & Grant, N.S. (2016). The use of yoga to build self-compassion as a healing method for survivors of sexual violence. //Journal of Religion and Spirituality in Social Work, 35//(3), 139-156. https://doi.org/10.1080/15426432.2015.1067583
Conboy, L.A., Wilson, A., & Braun, T. (2010). Moving beyond health to flourishing: The effects of yoga teacher training. //Thescientificworldjournal, 10//, 788-795. https://doi.org/10.1100/tsw.2010.87
Gregory, A. (2015). L yoga and mindfulness program: The effects on compassion fatigue and compassion satisfaction in social workers. //Journal of Religion and Spirituality in Social Work, 34//(4), 372-393. https://doi.org/10.1080/15426432.2015.1080604
Wang, D., & Feinstein, A. (2011). Managing pain in older adults the benefits of yoga postures, meditation and mindfulness. //Topics in Geriatric Rehabilitation, 27//(2), 104-109. https://doi.org/10.1097/TGR.0b013e31821bfffa
Thomley, B.S., Ray, S.H., Cha, S.S., & Bauer, B.A. (2011). Effects of a brief, comprehensive, yoga-based program on quality of life and biometric measures in an employee population: A pilot study. //Explore: The Journal of Science and Healing, 7//(1), 27-29. https://doi.org/10.1016/j.explore.2010.10.004
Dariotis, J.K., Mirabal-Beltran, R., Cluxton-Keller, F., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2017). A qualitative exploration of implementation factors in a school-based mindfulness and yoga program: Lessons learned from students and teachers. //Psychology in the Schools, 54//(1), 53-69. https://doi.org/10.1002/pits.21979
West, J., Liang, B., & Spinazzola, J. (2017). Trauma sensitive yoga as a complementary treatment for posttraumatic stress disorder: A qualitative descriptive analysis. //International Journal of Stress Management, 24//(2), 173-195. https://doi.org/10.1037/str0000040
Dariotis, J.K., Cluxton-Keller, F., Mirabal-Beltran, R., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2016). The program affects me 'cause it gives away stress: Urban students' qualitative perspectives on stress and a school-based mindful yoga intervention. //Explore: The Journal of Science and Healing, 12//(6), 443-450. https://doi.org/10.1016/j.explore.2016.08.002
Tihanyi, B.T., Sagi, A., Csala, B., Tolnai, N., & Koteles, F. (2016). Body awareness, mindfulness and affect does the kind of physical activity make a difference?. //European Journal of Mental Health, 11//(1-2), 97-111. https://doi.org/10.5708/EJMH.11.2016.1-2.6
Briegel-Jones, R.M.H., Knowles, Z., Eubank, M.R., Giannoulatos, K., & Elliot, D. (2013). A preliminary investigation into the effect of yoga practice on mindfulness and flow in elite youth swimmers. //Sport Psychologist, 27//(4), 349-359. https://doi.org/10.1123/tsp.27.4.349
Gard, T., Taquet, M., Dixit, R., Holzel, B.K., de Montjoye, Y.A., Brach, N., ... & Lazar, S.W. (2014). Fluid intelligence and brain functional organization in aging yoga and meditation practitioners. //Frontiers in Aging Neuroscience, 6//, 76. https://doi.org/10.3389/fnagi.2014.00076
[img[tps23.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Coulon, S.M., Monroe, C.M., & West, D.S. (2016). A systematic, multi-domain review of mobile smartphone apps for evidence-based stress management. //American Journal of Preventive Medicine, 51//(1), 95-105. https://doi.org/10.1016/j.amepre.2016.01.026
Eckhoff, R.P., Kizakevich, P.N., Bakalov, V., Zhang, Y.Y., Bryant, S.P., & Hobbs, M.A. (2015). A platform to build mobile health apps: The personal health intervention toolkit (PHIT). //JMIR Mhealth and Uhealth, 3//(2), e46. https://doi.org/10.2196/mhealth.4202
Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., ... & Sarris, J. (2017). The efficacy of smartphone-based mental health interventions for depressive symptoms: A meta-analysis of randomized controlled trials. //World Psychiatry, 16//(3), 287-298. https://doi.org/10.1002/wps.20472
Kruis, A., Slagter, H.A., Bachhuber, D.R.W., Davidson, R.J., & Lutz, A. (2016). Effects of meditation practice on spontaneous eyeblink rate. //Psychophysiology, 53//(5), 749-758. https://doi.org/10.1111/psyp.12619
Warren, C., Becken, S., & Coghlan, A. (2017). Using persuasive communication to co-create behavioural change - engaging with guests to save resources at tourist accommodation facilities. //Journal of Sustainable Tourism, 25//(7), 935-954. https://doi.org/10.1080/09669582.2016.1247849
Kraft, S., Wolf, M., Klein, T., Becker, T., Bauer, S., & Puschner, B. (2017). Text message feedback to support mindfulness practice in people with depressive symptoms: A pilot randomized controlled trial. //JMIR Mhealth and Uhealth, 5//(5), e59. https://doi.org/10.2196/mhealth.7095
Bauer, A.A., Loy, L.S., Masur, P.K., & Schneider, F.M. (2017). Mindful instant messaging mindfulness and autonomous motivation as predictors of well-being in smartphone communication. //Journal of Media Psychology-theories Methods and Applications, 29//(3), 159-165. https://doi.org/10.1027/1864-1105/a000225
Scherwitz, L., Pullman, M., McHenry, P., Gao, B., & Ostaseski, F. (2006). A contemplative care approach to training and supporting hospice volunteers: A prospective study of spiritual practice, well-being, and fear of death. //Explore: The Journal of Science and Healing, 2//(4), 304-313. https://doi.org/10.1016/j.explore.2006.04.001
Chittaro, L., & Vianello, A. (2016). Evaluation of a mobile mindfulness app distributed through on-line stores: A 4-week study. //International Journal of Human-computer Studies, 86//, 63-80. https://doi.org/10.1016/j.ijhcs.2015.09.004
Roy, M.J., Costanzo, M.E., Highland, K.B., Olsen, C., Clayborne, D., & Law, W. (2017). An app a day keeps the doctor away: Guided education and training via smartphones in subthreshold post traumatic stress disorder. //Cyberpsychology Behavior and Social Networking, 20//(8), 470-478. https://doi.org/10.1089/cyber.2017.0221
Chittaro, L., & Vianello, A. (2016). Mobile mindfulness and user's worry: A qualitative study of using a smartphone app for distancing from negative thoughts. //Interacting With Computers, 28//(6), 695-717. https://doi.org/10.1093/iwc/iwv044
Garrison, K.A., Pal, P., Rojiani, R., Dallery, J., O'Malley, S.S., & Brewer, J.A. (2015). A randomized controlled trial of smartphone-based mindfulness training for smoking cessation: A study protocol. //BMC Psychiatry, 15//, 83. https://doi.org/10.1186/s12888-015-0468-z
Levin, M.E., Haeger, J., Pierce, B., & Cruz, R.A. (2017). Evaluating an adjunctive mobile app to enhance psychological flexibility in acceptance and commitment therapy. //Behavior Modification, 41//(6), 846-867. https://doi.org/10.1177/0145445517719661
Lutz, J., Bruhl, A.B., Doerig, N., Scheerer, H., Achermann, R., Weibel, A., ... & Herwig, U. (2016). Altered processing of self-related emotional stimuli in mindfulness meditators. //Neuroimage, 124//, 958-967. https://doi.org/10.1016/j.neuroimage.2015.09.057
Agarwal, S. (2016). Tourist persuasion and crime prevention. //Crime Prevention & Community Safety, 18//(3), 165-186. https://doi.org/10.1057/cpcs.2016.8
Meinlschmidt, G., Lee, J.H., Stalujanis, E., Belardi, A., Oh, M., Jung, E.K., ... & Tegethoff, M. (2016). Smartphone-based psychotherapeutic micro-interventions to improve mood in a real-world setting. //Frontiers in Psychology, 7//, 1112. https://doi.org/10.3389/fpsyg.2016.01112
Chittaro, L., & Vianello, A. (2014). Computer-supported mindfulness: Evaluation of a mobile thought distancing application on naive meditators. //International Journal of Human-computer Studies, 72//(3), 337-348. https://doi.org/10.1016/j.ijhcs.2013.11.001
Kristjansdottir, O.B., Fors, E.A., Eide, E., Finset, A., van Dulmen, S., Wigers, S.H., ... & Eide, H. (2011). Written online situational feedback via mobile phone to support self-management of chronic widespread pain: A usability study of a web-based intervention. //BMC Musculoskeletal Disorders, 12//, 51. https://doi.org/10.1186/1471-2474-12-51
Wen, L., Sweeney, T.E., Welton, L., Trockel, M., & Katznelson, L. (2017). Encouraging mindfulness in medical house staff via smartphone app: A pilot study. //Academic Psychiatry, 41//(5), 646-650. https://doi.org/10.1007/s40596-017-0768-3
Prada, P., Zamberg, I., Bouillault, G., Jimenez, N., Zimmermann, J., Hasler, R., ... & Perroud, N. (2017). Emoteo: A smartphone application for monitoring and reducing aversive tension in borderline personality disorder patients, a pilot study. //Perspectives in Psychiatric Care, 53//(4), 289-298. https://doi.org/10.1111/ppc.12178
Kang, Y.N., O'Donnell, M.B., Strecher, V.J., & Falk, E.B. (2017). Dispositional mindfulness predicts adaptive affective responses to health messages and increased exercise motivation. //Mindfulness, 8//(2), 387-397. https://doi.org/10.1007/s12671-016-0608-7
Barber, N.A., & Deale, C. (2014). Tapping mindfulness to shape hotel guests' sustainable behavior. //Cornell Hospitality Quarterly, 55//(1), 100-114. https://doi.org/10.1177/1938965513496315
Trub, L., & Starks, T.J. (2017). Textual healing: Proof of concept study examining the impact of a mindfulness intervention on smartphone behavior. //Mindfulness, 8//(5), 1225-1235. https://doi.org/10.1007/s12671-017-0697-y
Donovan, E., Rodgers, R.F., Cousineau, T.M., McGowan, K.M., Luk, S., Yates, K., ... & Franko, D.L. (2016). Brief report: Feasibility of a mindfulness and self-compassion based mobile intervention for adolescents. //Journal of Adolescence, 53//, 217-221. https://doi.org/10.1016/j.adolescence.2016.09.009
Howells, A., Ivtzan, I., & Eiroa-Orosa, F.J. (2016). Putting the 'app' in happiness: A randomised controlled trial of a smartphone-based mindfulness intervention to enhance wellbeing. //Journal of Happiness Studies, 17//(1), 163-185. https://doi.org/10.1007/s10902-014-9589-1
Lee, Y.H., Hsieh, Y.J., Shiah, Y.J., Lin, Y.H., Chen, C.Y., Tyan, Y.C., ... & Chen, S.C.J. (2017). A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers. //Medicine, 96//(16), e6612. https://doi.org/10.1097/MD.0000000000006612
Bevan, A.L., Maxfield, M., & Bultmann, M.N. (2014). The effects of age and death awareness on intentions for healthy behaviours. //Psychology & Health, 29//(4), 405-421. https://doi.org/10.1080/08870446.2013.859258
Van Gemert-Pijnen, J.E.W.C., Kelders, S.M., & Bohlmeijer, E.T. (2014). Understanding the usage of content in a mental health intervention for depression: An analysis of log data. //Journal of Medical Internet Research, 16//(1), e27. https://doi.org/10.2196/jmir.2991
Shand, F.L., Ridani, R., Tighe, J., & Christensen, H. (2013). The effectiveness of a suicide prevention app for indigenous Australian youths: Study protocol for a randomized controlled trial. //Trials, 14//, 396. https://doi.org/10.1186/1745-6215-14-396
Stjernsward, S., & Hansson, L. (2017). User value and usability of a web-based mindfulness intervention for families living with mental health problems. //Health & Social Care in the Community, 25//(2), 700-709. https://doi.org/10.1111/hsc.12360
Laurie, J., & Blandford, A. (2016). Making time for mindfulness. //International Journal of Medical Informatics, 96//, 38-50. https://doi.org/10.1016/j.ijmedinf.2016.02.010
Tanay, G., & Bernstein, A. (2013). State mindfulness scale (SMS): Development and initial validation. //Psychological Assessment, 25//(4), 1286-1299. https://doi.org/10.1037/a0034044
Garcia, I.P., Sanchez, C.M., Espilez, A.S., Garcia-Magarino, I., Guillen, G.A., & Garcia-Campayo, J. (2017). Development and initial evaluation of a mobile application to help with mindfulness training and practice. //International Journal of Medical Informatics, 105//, 59-67. https://doi.org/10.1016/j.ijmedinf.2017.05.018
Leece, P., Cavacuiti, C., Macdonald, E.M., Gomes, T., Kahan, M., Srivastava, A., ... & Juurlink, D.N. (2015). Predictors of Opioid-related death during methadone therapy. //Journal of Substance Abuse Treatment, 57//, 30-35. https://doi.org/10.1016/j.jsat.2015.04.008
Crosby, K., Skilton, A., & Gunasena, A. (2012). The Sutta on understanding death in the transmission of Boran meditation from Siam to the kandyan court. //Journal of Indian Philosophy, 40//(2), 177-198. https://doi.org/10.1007/s10781-011-9151-y
Liu, Q.Q., Zhou, Z.K., Yang, X.J., Kong, F.C., Niu, G.F., & Fan, C.Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model. //Computers in Human Behavior, 72//, 108-114. https://doi.org/10.1016/j.chb.2017.02.042
Lutz, J., Bruhl, A.B., Scheerer, H., Jancke, L., & Herwig, U. (2016). Neural correlates of mindful self-awareness in mindfulness meditators and meditation-naive subjects revisited. //Biological Psychology, 119//, 21-30. https://doi.org/10.1016/j.biopsycho.2016.06.010
Cacciatore, J., Thieleman, K., Killian, M., & Tavasolli, K. (2015). Braving human suffering: Death education and its relationship to empathy and mindfulness. //Social Work education, 34//(1), 91-109. https://doi.org/10.1080/02615479.2014.940890
Cacciatore, J. (2013). Psychological effects of stillbirth. //Seminars in Fetal & Neonatal Medicine, 18//(2), 76-82. https://doi.org/10.1016/j.siny.2012.09.001
Ramsey, A.T., Wetherell, J.L., Depp, C., Dixon, D., & Lenze, E. (2016). Feasibility and acceptability of smartphone assessment in older adults with cognitive and emotional difficulties. //Journal of Technology in Human Services, 34//(2), 209-223. https://doi.org/10.1080/15228835.2016.1170649
Deo, G., Kumar, I.R., Srinivasan, T.M., & Kushwah, K.K. (2015). Changes in electrophotonic imaging parameters associated with long term meditators and naive meditators in older adults practicing meditation. //European Journal of Integrative Medicine, 7//(6), 663-668. https://doi.org/10.1016/j.eujim.2015.08.004
Ly, K.H., Truschel, A., Jarl, L., Magnusson, S., Windahl, T., Johansson, R., ... & Andersson, G. (2014). Behavioural activation versus mindfulness-based guided self-help treatment administered through a smartphone application: A randomised controlled trial. //BMJ Open, 4//(1), e003440. https://doi.org/10.1136/bmjopen-2013-003440
Taylor, J.A., Sims, J., & Hill, H. (2015). //Reflective Practice and its relationship to mindfulness, situation/movement awareness and person-centredness during mobility care in nursing homes: A discussion paper. Reflective practice, 16//(4), 449-458. https://doi.org/10.1080/14623943.2015.1052386
Miller, M.M., & Brannon, L.A. (2017). Testing mindfulness-based acceptance against implementation intentions to discourage counterintentional cell phone use. //Mindfulness, 8//(5), 1212-1224. https://doi.org/10.1007/s12671-017-0694-1
Womack, V.Y., & Sloan, L.R. (2017). The association of mindfulness and racial socialization messages on approach-oriented coping strategies among African Americans. //Journal of Black Studies, 48//(4), 408-426. https://doi.org/10.1177/0021934717696789
Stella, M. (2016). Befriending death: A mindfulness-based approach to cultivating self-awareness in counselling students. //Death Studies, 40//(1), 32-39. https://doi.org/10.1080/07481187.2015.1056566
Guixeres, J., Bigne, E., Azofra, J.M.A., Raya, M.A., Granero, A.C., Hurtado, F.F., ... & Ornedo, V.N. (2017). Consumer neuroscience-based metrics predict recall, liking and viewing rates in online advertising. //Frontiers in Psychology, 8//, 1808. https://doi.org/10.3389/fpsyg.2017.01808
Niemiec, C.P., Brown, K.W., Kashdan, T.B., Cozzolino, P.J., Breen, W.E., Levesque-Bristol, C., ... & Ryan, R.M. (2010). Being present in the face of existential threat: The role of trait mindfulness in reducing defensive responses to mortality salience. //Journal of Personality and social psychology, 99//(2), 344-365. https://doi.org/10.1037/a0019388
Howes, M. (2016). Fitness, well-being, and preparation for death. //International Journal of Feminist Approaches to Bioethics, 9//(2), 115-140. https://muse.jhu.edu/article/631101
[img[tps24.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Garcia-Magarino, I., & Plaza, I. (2017). ABSEM: An agent-based simulator of emotions in mindfulness. programs. //Expert Systems With Applications, 84//, 49-57. https://doi.org/10.1016/j.eswa.2017.05.011
Garcia-Magarino, I., & Plaza, I. (2017). ABS-MindHeart: An agent based simulator of the influence of mindfulness programs on heart rate variability. //Journal of Computational Science, 19//, 11-20. https://doi.org/10.1016/j.jocs.2016.12.011
Keith, J.R., Blackwood, M.E., Mathew, R.T., & Lecci, L.B. (2017). Self-reported mindful attention and awareness, go/no-go response-time variability, and attention-deficit hyperactivity disorder. //Mindfulness, 8//(3), 765-774. https://doi.org/10.1007/s12671-016-0655-0
Johnson, C.J., Wiebe, J.S., & Morera, O.F. (2014). The Spanish version of the Mindful Attention Awareness Scale (MAAS): Measurement invariance and psychometric properties. //Mindfulness, 5//(5), 552-565. https://doi.org/10.1007/s12671-013-0210-1
Catak, P.D. (2012). The Turkish version of Mindful Attention Awareness Scale: Preliminary findings. //Mindfulness, 3//(1), 1-9. https://doi.org/10.1007/s12671-011-0072-3
Jensen, C.G., Niclasen, J., Vangkilde, S.A., Petersen, A., & Hasselbalch, S.G. (2016). General inattentiveness is a long-term reliable trait independently predictive of psychological health: Danish validation studies of the Mindful Attention Awareness Scale. //Psychological Assessment, 28//(5), E70-E87. https://doi.org/10.1037/pas0000196
Black, D.S., Sussman, S., Johnson, C.A., & Milam, J. (2012). Psychometric assessment of the Mindful Attention Awareness Scale (MAAS) among Chinese adolescents. //Assessment, 19//(1), 42-52. https://doi.org/10.1177/1073191111415365
Seema, R., Quaglia, J.T., Brown, K.W., Sircova, A., Konstabel, K., & Baltin, A. (2015). The Estonian Mindful Attention Awareness Scale: Assessing mindfulness without a distinct linguistic present tense. //Mindfulness, 6//(4), 759-766. https://doi.org/10.1007/s12671-014-0314-2
Veneziani, C.A., & Voci, A. (2015). The Italian adaptation of the mindful awareness attention scale and its relation with individual differences and quality of life indexes. //Mindfulness, 6//(2), 373-381. https://doi.org/10.1007/s12671-013-0270-2
Soler, J., Tejedor, R., Feliu-Soler, A., Pascual, J.C., Cebolla, A., Soriano, J., ... & Perez, V. (2012). Psychometric properties of Spanish version of Mindful Attention Awareness Scale (MAAS). //Actas Espanolas De Psiquiatria, 40//(1), 19-26. https://doi.org/10.1007/s12671-013-0210-1
Smith, O.R.F., Melkevik, O., Samdal, O., Larsen, T.M., & Haug, E. (2017). Psychometric properties of the five-item version of the mindful awareness attention scale (MASS) in Norwegian adolescents. //Scandinavian Journal of Public Health, 45//(4), 373-380. https://doi.org/10.1177/1403494817699321
de Barros, V.V., Kozasa, E.H., de Souza, I.C.W., & Ronzani, T.M. (2015). Validity evidence of the Brazilian version of the Mindful Attention Awareness Scale (MAAS). //Psicologia: reflexao E Critica, 28//(1), 87-95. https://doi.org/10.1590/1678-7153.201528110
Schmertz, S.K., Anderson, P.L., & Robins, D.L. (2009). The relation between self-report mindfulness and performance on tasks of sustained attention. //Journal of Psychopathology and Behavioral Assessment, 31//(1), 60-66. https://doi.org/10.1007/s10862-008-9086-0
Hofling, V., Moosbrugger, H., Schermelleh-Engel, K., & Heidenreich, T. (2011). Mindfulness or mindlessness? A modified version of the Mindful Attention and Awareness Scale (MAAS). //European Journal of Psychological Assessment, 27//(1), 59-64. https://doi.org/10.1027/1015-5759/a000045
Islam, M.A., & Siddique, S. (2016). Validation of the Bangla Mindful Attention Awareness Scale. //Asian Journal of Psychiatry, 24//, 10-16. https://doi.org/10.1016/j.ajp.2016.08.011
Veneziani, C.A., & Voci, A. (2015). The Italian adaptation of the Cognitive and Affective Mindfulness Scale-revised. //TPM - Testing, Psychometrics, Methodology in Applied Psychology, 22//(1), 43-52. https://doi.org/10.4473/TPM22.1.4
Phang, C.K., Mukhtar, F., Ibrahim, N., & Sidik, S.M. (2016). Mindful Attention Awareness Scale (MAAS): Factorial validity and psychometric properties in a sample of medical students in Malaysia. //Journal of Mental Health training education and practice, 11//(5), 305-316. https://doi.org/10.1108/JMHTEP-02-2015-0011
Kotze, M., & Nel, P. (2016). The psychometric properties of the Mindful Attention Awareness Scale (MAAS) and Freiburg mindfulness inventory (FMI) as measures of mindfulness and their relationship with burnout and work engagement. //SA Journal of Industrial Psychology, 42//(1). a1366 https://doi.org/10.4102/sajip.v42i1.1366
Osman, A., Lamis, D.A., Bagge, C.L., Freedenthal, S., & Barnes, S.M. (2016). The Mindful Attention Awareness Scale: Further examination of dimensionality, reliability, and concurrent validity estimates. //Journal of Personality assessment, 98//(2), 189-199. https://doi.org/10.1080/00223891.2015.1095761
Gregorio, S., & Pinto-Gouveia, J. (2013). Mindful attention and awareness: Relationships with psychopathology and emotion regulation. //Spanish Journal of Psychology, 16//. https://doi.org/10.1017/sjp.2013.79
Karekla, M., & Michaelides, M.P. (2017). Validation and invariance testing of the Greek adaptation of the Acceptance and Action Questionnaire -II across clinical vs. nonclinical samples and sexes. //Journal of Contextual Behavioral Science, 6//(1), 119-124. https://doi.org/10.1016/j.jcbs.2016.11.006
MacKillop, J., & Anderson, E.J. (2007). Further psychometric validation of the Mindful Attention Awareness Scale (MAAS). //Journal of Psychopathology and Behavioral Assessment, 29//(4), 289-293. https://doi.org/10.1007/s10862-007-9045-1
Deng, Y.Q., Li, S., Tang, Y.Y., Zhu, L.H., Ryan, R., & Brown, K. (2012). Psychometric properties of the Chinese translation of the Mindful Attention Awareness Scale (MAAS). //Mindfulness, 3//(1), 10-14. https://doi.org/10.1007/s12671-011-0074-1
Morgan, J.R., Masuda, A., & Anderson, P.L. (2014). A preliminary analysis of the psychometric properties of the Mindful Attention Awareness Scale among African american college students. //Mindfulness, 5//(6), 639-645. https://doi.org/10.1007/s12671-013-0216-8
Carlson, L.E., & Brown, K.W. (2005). Validation of the Mindful Attention Awareness Scale in a cancer population. //Journal of Psychosomatic Research, 58//(1), 29-33. https://doi.org/10.1016/j.jpschores.2004.04.366
Cebolla, A., Luciano, J.V., DeMarzo, M.P., Navarro-Gil, M., & Campayo, J.G. (2013). Psychometric properties of the Spanish version of the Mindful Attention Awareness Scale (MAAS) in patients with fibromyalgia. //Health and Quality of Life Outcomes, 11//. https://doi.org/10.1186/1477-7525-11-6
Jermann, F., Billieux, J., Laroi, F., d'Argembeau, A., Bondolfi, G., Zermatten, A., ... & Van der Linden, M. (2009). Mindful Attention Awareness Scale (MAAS): Psychometric properties of the french translation and exploration of its relations with emotion regulation strategies. //Psychological Assessment, 21//(4), 506-514. https://doi.org/10.1037/a0017032
Christopher, M.S., Charoensuk, S., Gilbert, B.D., Neary, T.J., & Pearce, K.L. (2009). Mindfulness in Thailand and the united states: A case of apples versus oranges?. //Journal of Clinical Psychology, 65//(6), 590-612. https://doi.org/10.1002/jclp.20580
Loucks, E.B., Britton, W.B., Howe, C.J., Gutman, R., Gilman, S.E., Brewer, J., ... & Buka, S.L. (2016). Associations of dispositional mindfulness with obesity and central adiposity: The new England family study. //International Journal of Behavioral Medicine, 23//(2), 224-233. https://doi.org/10.1007/s12529-015-9513-z
Costa, J.A., Maroco, J., & Pinto-Gouveia, J. (2017). Validation of the psychometric properties of cognitive fusion questionnaire. a study of the factorial validity and factorial invariance of the measure among osteoarticular disease, diabetes mellitus, obesity, depressive disorder, and general populations. //Clinical Psychology & Psychotherapy, 24//(5), 1121-1129. https://doi.org/10.1002/cpp.2077
Dubert, C.J., Schumacher, A.M., Locker, L., Gutierrez, A.P., & Barnes, V.A. (2016). Mindfulness and emotion regulation among nursing students: Investigating the mediation effect of working memory capacity. //Mindfulness, 7//(5), 1061-1070. https://doi.org/10.1007/s12671-016-0544-6
Shin, H.S., Black, D.S., Shonkoff, E.T., Riggs, N.R., & Pentz, M.A. (2016). Associations among dispositional mindfulness, self-compassion, and executive function proficiency in early adolescents. //Mindfulness, 7//(6), 1377-1384. https://doi.org/10.1007/s12671-016-0579-8
Giovannini, C., Giromini, L., Bonalume, L., Tagini, A., Lang, M., & Amadei, G. (2014). The Italian Five Facet Mindfulness Questionnaire: A contribution to its validity and reliability. //Journal of Psychopathology and Behavioral Assessment, 36//(3), 415-423. https://doi.org/10.1007/s10862-013-9403-0
Galiana, L., Oliver, A., Sanso, N., Sancerni, M.D., & Tomas, J.M. (2017). Mindful attention awareness in Spanish palliative care professionals: Psychometric study with IRT and CFA models. //European Journal of Psychological Assessment, 33//(1), 14-21. https://doi.org/10.1027/1015-5759/a000265
Cordon, S.L., & Finney, S.J. (2008). Measurement invariance of the Mindful Attention Awareness Scale across adult attachment style. //Measurement and Evaluation in Counseling and Development, 40//(4), 228-245. https://doi.org/10.1080/07481756.2008.11909817
Frigotto, M.L., & Zamarian, M. (2015). Mindful by routine: Evidence from the Italian air force tornado crews flying practices. //Journal of Management & organization, 21//(3), 321-335. https://doi.org/10.1017/jmo.2014.85
Kiep, M., Spek, A.A., & Hoeben, L. (2015). Mindfulness-based therapy in adults with an autism spectrum disorder: Do treatment effects last?. //Mindfulness, 6//(3), 637-644. https://doi.org/10.1007/s12671-014-0299-x
Collins, T., Lambert, L., Helms, C.D., & Minichiello, V.M. (2017). Use of mindful observer to extend simulation learning experience. //Nursing Education Perspectives, 38//(2), 98-99. https://doi.org/10.1097/01.NEP.0000000000000087
Palmeira, L., Cunha, M., Pinto-Gouveia, J., Carvalho, S., & Lillis, J. (2016). New developments in the assessment of weight-related experiential avoidance (AAQW-Revised). //Journal of Contextual Behavioral Science, 5//(3), 193-200. https://doi.org/10.1016/j.jcbs.2016.06.001
van Vugt, M.K., & Jha, A.P. (2011). Investigating the impact of mindfulness meditation training on working memory: A mathematical modeling approach. //Cognitive Affective & Behavioral Neuroscience, 11//(3), 344-353. https://doi.org/10.3758/s13415-011-0048-8
Chiesi, F., Dellagiulia, A., Lionetti, F., Bianchi, G., & Primi, C. (2017). Using item response theory to explore the psychometric properties of the Italian Version of the Child and Adolescent Mindfulness Measure (CAMM). //Mindfulness, 8//(2), 351-360. https://doi.org/10.1007/s12671-016-0604-y
Fiol, C.M., & O'Connor, E.J. (2003). Waking up! mindfulness in the face of bandwagons. //Academy of Management Review, 28//(1), 54-70. https://doi.org/10.5465/amr.2003.8925227
Chiesi, F., Donati, M.A., Panno, A., Giacomantonio, M., & Primi, C. (2017). What about the different shortened versions of the Mindful Attention Awareness Scale?. //Psychological Reports, 120//(5), 966-990. https://doi.org/10.1177/0033294117711132
Saggino, A., Bartoccini, A., Sergi, M.R., Romanelli, R., Macchia, A., & Tommasi, M. (2017). Assessing mindfulness on samples of Italian children and adolescents: The validation of the Italian version of the child and adolescent mindfulness measure. //Mindfulness, 8//(5), 1364-1372. https://doi.org/10.1007/s12671-017-0712-3
Cikajlo, I., Staba, U.C., Vrhovac, S., Larkin, F., & Roddy, M. (2017). A cloud-based virtual reality app for a novel telemindfulness service: Rationale, design and feasibility evaluation. //JMIR Research Protocols, 6//(6). https://doi.org/10.2196/resprot.6849
Medvedev, O.N., Siegert, R.J., Feng, X.J., Billington, D.R., Jang, J.Y., & Krageloh, C.U. (2016). Measuring trait mindfulness: How to improve the precision of the Mindful Attention Awareness Scale using a Rasch model. //Mindfulness, 7//(2), 384-395. https://doi.org/10.1007/s12671-015-0454-z
Hauswald, A., Ubelacker, T., Leske, S., & Weisz, N. (2015). What it means to be Zen: Marked modulations of local and interareal synchronization during open monitoring meditation. //Neuroimage, 108//, 265-273. https://doi.org/10.1016/j.neuroimage.2014.12.065
[img[tps25.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
McCray, J., Palmer, A., & Chmiel, N. (2016). Building resilience in health and social care teams. //Personnel Review, 45//(6), 1132-1155. https://doi.org/10.1108/PR-04-2014-0095
Oeij, P.R.A., Dhondt, S., & Gaspersz, J. (2016). Mindful infrastructure as an enabler of innovation resilience behaviour in innovation teams. //Team Performance Management, 22//(42924), 334-353. https://doi.org/10.1108/TPM-12-2015-0058
Appiah, G., & Sarpong, D. (2015). On the influence of organisational routines on strategic foresight. //Foresight, 17//(5), 512-527. https://doi.org/10.1108/FS-11-2014-0067
Sammon, D., Nagle, T., & McAvoy, J. (2014). Analysing ISD performance using narrative networks, routines and mindfulness. //Information and Software Technology, 56//(5), 465-476. https://doi.org/10.1016/j.infsof.2014.01.007
Singh, N.N., Wahler, R.G., Sabaawi, M., Goza, A.B., Singh, S.D., & Molina, E.J. (2002). Mentoring treatment teams to integrate behavioral and psychopharmacological treatments in developmental disabilities. //Research in Developmental Disabilities, 23//(6), 379-389. https://doi.org/10.1016/S0891-4222(02)00140-3
Stephens, J.P., & Lyddy, C.J. (2016). Operationalizing heedful interrelating: How attending, responding, and feeling comprise coordinating and predict performance in self-managing teams. //Frontiers in Psychology, 7//. https://doi.org/10.3389/fpsyg.2016.00362
Singh, N.N., Singh, S.D., Sabaawi, M., Myers, R.E., & Wahler, R.G. (2006). Enhancing treatment team process through mindfulness-based mentoring in an inpatient psychiatric hospital. //Behavior Modification, 30//(4), 423-441. https://doi.org/10.1177/0145445504272971
Curtis, A.M., Dennis, A.R., & McNamara, K.O. (2017). From monologue to dialogue: Performative objects to promote collective mindfulness in computer-mediated team discussions. //MIS Quarterly, 41//(2), 559-+. http://dx.doi.org/10.25300/MISQ/2017/41.2.10
McAllister, C., Leykum, L.K., Lanham, H., Reisinger, H.S., Kohn, J.L., Palmer, R., ... & McDaniel, R.R. (2014). Relationships within inpatient physician housestaff teams and their association with hospitalized patient outcomes. //Journal of Hospital Medicine, 9//(12), 764-771. https://doi.org/10.1002/jhm.2274
Jacobs, R.H., Guo, S., Kaundinya, P., Lakind, D., Klein, J., Rusch, D., ... & Atkins, M. (2017). A pilot study of mindfulness skills to reduce stress among a diverse paraprofessional workforce. //Journal of Child and Family Studies, 26//(9), 2579-2588. https://doi.org/10.1007/s10826-017-0771-z
Foukal, M.D., Lawrence, E.C., & Jennings, P.A. (2016). Mindfulness and mentoring satisfaction of college women mentoring youth: Implications for training. //Mindfulness, 7//(6), 1327-1338. https://doi.org/10.1007/s12671-016-0574-0
Baskarada, S., Shrimpton, D., & Ng, S. (2016). Learning through foresight. //Foresight, 18//(4), 414-433. https://doi.org/10.1108/FS-09-2015-0045
Schwind, J.K., McCay, E., Metersky, K., & Martin, J. (2016). Development and implementation of an advanced therapeutic communication course: An interprofessional collaboration. //Journal of Nursing Education, 55//(10), 592-597. https://doi.org/10.3928/01484834-20160914-11
Warde, C.M., Vermillion, M., & Uljtdehaage, S. (2014). A medical student leadership course led to teamwork, advocacy, and mindfulness. //Family Medicine, 46//(6), 459-462. http://www.stfm.org/FamilyMedicine/Vol46Issue6/Warde459
Kass, J.D., Baxter, J., & Lennox, S. (2015). Mentoring person-centered spiritual maturation: A quasi-experimental mixed methods study of a contemplative self-inquiry curriculum. //Journal of Humanistic Psychology, 55//(4), 474-503. https://doi.org/10.1177/0022167814547578
Hales, D.N., & Chakravorty, S.S. (2016). Creating high reliability organizations using mindfulness. //Journal of Business Research, 69//(8), 2873-2881. https://doi.org/10.1016/j.jbusres.2015.12.056
Amaye, A., Neville, K., & Pope, A. (2016). BigPromises: Using organisational mindfulness to integrate big data in emergency management decision making. //Journal of Decision Systems, 25//, 76-84. https://doi.org/10.1080/12460125.2016.1187419
Binci, D., & Cerruti, C. (2012). Resistance in HROs, setback or resource?. //Journal of Organizational Change Management, 25//(6), 867-882. https://doi.org/10.1108/09534811211280618
McAvoy, J., Nagle, T., & Sammon, D. (2013). Using mindfulness to examine ISD agility. //Information Systems Journal, 23//(2), 155-172. https://doi.org/10.1111/j.1365-2575.2012.00405.x
Coates, C.A. (2015). The Parenting Coordinator as Peacemaker and Peacebuilder. //Family Court Review, 53//(3), 398-406. https://doi.org/10.1111/fcre.12161
Svalgaard, L. (2017). From real life to real life: Bringing 'double awareness' from action learning programmes into organisational reality. //Action Learning, 14//(1), 29-49. https://doi.org/10.1080/14767333.2015.1136923
Schelvis, R.M.C., Zwetsloot, G.I.J.M., Bos, E.H., & Wiezer, N.M. (2014). Exploring teacher and school resilience as a new perspective to solve persistent problems in the educational sector. //Teachers and Teaching, 20//(5), 622-637. https://doi.org/10.1080/13540602.2014.937962
[img[tps26.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kong, D.T. (2016). The pathway to unethical pro-organizational behavior: Organizational identification as a joint function of work passion and trait mindfulness. //Personality and Individual Differences, 93//, 86-91. https://doi.org/10.1016/j.paid.2015.08.035
Dixon, M.L., Fox, K.C.R., & Christoff, K. (2014). A framework for understanding the relationship between externally and internally directed cognition. //Neuropsychologia, 62//, 321-330. https://doi.org/10.1016/j.neuropsychologia.2014.05.024
Pisano, J., Pettit, N., Bartlett, A., Bhagat, P., Han, Z., Liao, C.H., ... & Landon, E. (2016). Social media as a tool for antimicrobial stewardship. //American Journal of Infection Control, 44//(11), 1231-1236. https://doi.org/10.1016/j.ajic.2016.07.005
Carmeli, A., & Russo, M. (2016). The power of micro-moves in cultivating regardful relationships: Implications for work-home enrichment and thriving. //Human Resource Management Review, 26//(2), 112-124. https://doi.org/10.1016/j.hrmr.2015.09.007
Amaro, H., Cortes, D.E., Garcia, S., Duan, L., & Black, D.S. (2017). Video-based grocery shopping intervention effect on purchasing behaviors among Latina shoppers. //American Journal of Public Health, 107//(5), 800-806. https://doi.org/10.2105/AJPH.2017.303725
Gordon, J.L., Rubinow, D.R., Eisenlohr-Moul, T.A., Leserman, J., & Girdler, S.S. (2016). Estradiol variability, stressful life events, and the emergence of depressive symptomatology during the menopausal transition. //Menopause: The Journal of the North American Menopause Society, 23//(3), 257-266. https://doi.org/10.1097/GME.0000000000000528
Carpenter, J., Gass, M.L.S., Maki, P.M., Newton, K.M., Pinkerton, J.V., Taylor, M., ... & Allen, P. (2015). Nonhormonal management of menopause-associated vasomotor symptoms: 2015 position statement of the north american menopause society. //Menopause: The Journal of the North American Menopause Society, 22//(11). https://doi.org/10.1097/GME.0000000000000546
Fennell, D. (2012). Explorations of silence in the religious rituals of Buddhists and Quakers. //Religion, 42//(4), 549-574. https://doi.org/10.1080/0048721X.2012.704157
Wolfradt, U., Oemler, M., Braun, K., & Klement, A. (2014). Health anxiety and habitual rumination: The mediating effect of serenity. //Personality and Individual Differences, 71//, 130-134. https://doi.org/10.1016/j.paid.2014.07.030
Loizzo, J. (2009). Optimizing learning and quality of life throughout the lifespan a global framework for research and application. //Longevity, regeneration, and optimal health: Integrating eastern and western perspectives, 1172//, 186-198. https://doi.org/10.1196/annals.1393.006
Seema, R., Sircova, A., & Baltin, A. (2014). Transcendental future – Is it a healthy belief or a time perspective? The Transcendental-Future Time Perspective Inventory (TTPI) in Estonian. //Trames: Journal of the Humanities and Social Sciences, 18//(1), 57-75. https://doi.org/10.3176/tr.2014.1.04
[img[tps27.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Roos, C.R., Bowen, S., & Witkiewitz, K. (2017). Baseline patterns of substance use disorder severity and depression and anxiety symptoms moderate the efficacy of mindfulness-based relapse prevention. //Journal of Consulting and Clinical Psychology, 85//(11), 1041-1051. https://doi.org/10.1037/ccp0000249
Price, C.J., Wells, E.A., Donovan, D.M., & Rue, T. (2012). Mindful awareness in body-oriented therapy as an adjunct to women's substance use disorder treatment: A pilot feasibility study. //Journal of Substance Abuse Treatment, 43//(1), 94-107. https://doi.org/10.1016/j.jsat.2011.09.016
Bowen, S., Witkiewitz, K., Clifasefi, S.L., Grow, J., Chawla, N., Hsu, S.H., ... & Larimer, M.E. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders. //JAMA Psychiatry, 71//(5), 547-556. https://doi.org/10.1001/jamapsychiatry.2013.4546
Witkiewitz, K., & Bowen, S. (2010). Depression, craving, and substance use following a randomized trial of mindfulness-based relapse prevention. //Journal of Consulting and Clinical Psychology, 78//(3), 362-374. https://doi.org/10.1037/a0019172
Vrana, C., Killeen, T., Brant, V., Mastrogiovanni, J., & Baker, N.L. (2017). Rationale, design, and implementation of a clinical trial of a mindfulness based relapse prevention protocol for the treatment of women with comorbid post traumatic stress disorder and substance use disorder. //Contemporary Clinical Trials, 61//, 108-114. https://doi.org/10.1016/j.cct.2017.07.024
Witkiewitz, K., Bowen, S., Douglas, H., & Hsu, S.H. (2013). Mindfulness-based relapse prevention for substance craving. //Addictive Behaviors, 38//(2), 1563-1571. https://doi.org/10.1016/j.addbeh.2012.04.001
Dakwar, E., Mariani, J.P., & Levin, F.R. (2011). Mindfulness impairments in individuals seeking treatment for substance use disorders. //American Journal of Drug and Alcohol Abuse, 37//(3), 165-169. https://doi.org/10.3109/00952990.2011.553978
Grow, J.C., Collins, S.E., Harrop, E.N., & Marlatt, G.A. (2015). Enactment of home practice following mindfulness-based relapse prevention and its association with substance-use outcomes. //Addictive Behaviors, 40//, 16-20. https://doi.org/10.1016/j.addbeh.2014.07.030
Hsu, S.H., Collins, S.E., & Marlatt, G.A. (2013). Examining psychometric properties of distress tolerance and its moderation of mindfulness-based relapse prevention effects on alcohol and other drug use outcomes. //Addictive Behaviors, 38//(3), 1852-1858. https://doi.org/10.1016/j.addbeh.2012.11.002
Price, C., & Smith-DiJulio, K. (2016). Interoceptive awareness is important for relapse prevention perceptions of women who received mindful body awareness in substance use disorder treatment. //Journal of Addictions Nursing, 27//(1), 32-38. https://doi.org/10.1097/JAN.0000000000000109
Edwards, E.R., Cohen, M.G., & Wupperman, P. (2016). Substance-treatment professionals' perceived barriers to incorporating mindfulness into treatment. //Substance Use & Misuse, 51//(14), 1930-1935. https://doi.org/10.1080/10826084.2016.1200622
Zemestani, M., & Ottaviani, C. (2016). Effectiveness of mindfulness-based relapse prevention for co-occurring substance use and depression disorders. //Mindfulness, 7//(6), 1347-1355. https://doi.org/10.1007/s12671-016-0576-y
Enkema, M.C., & Bowen, S. (2017). Mindfulness practice moderates the relationship between craving and substance use in a clinical sample. //Drug and Alcohol Dependence, 179//, 1-7. https://doi.org/10.1016/j.drugalcdep.2017.05.036
Shorey, R.C., Elmquist, J., Gawrysiak, M.J., Strauss, C., Haynes, E., Anderson, S., ... & Stuart, G.L. (2017). A randomized controlled trial of a mindfulness and acceptance group therapy for residential substance use patients. //Substance Use & Misuse, 52//(11), 1400-1410. https://doi.org/10.1080/10826084.2017.1284232
Bowen, S., Chawla, N., Collins, S.E., Witkiewitz, K., Hsu, S., Grow, J., ... & Marlatt, A. (2009). Mindfulness-based relapse prevention for substance use disorders: A pilot efficacy trial. //Substance Abuse, 30//(4), 295-305. https://doi.org/10.1080/08897070903250084
Shorey, R.C., Elmquist, J., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between mindfulness and compulsive sexual behavior in a sample of men in treatment for substance use disorders. //Mindfulness, 7//(4), 866-873. https://doi.org/10.1007/s12671-016-0525-9
Lee, K.H., Bowen, S., & An-Fu, B. (2011). Psychosocial outcomes of mindfulness-based relapse prevention in incarcerated substance abusers in Taiwan: A preliminary study. //Journal of Substance Use, 16//(6), 476-483. https://doi.org/10.3109/14659891.2010.505999
Levin, M.E., Dalrymple, K., & Zimmerman, M. (2014). Which facets of mindfulness predict the presence of substance use disorders in an outpatient psychiatric sample?. //Psychology of Addictive Behaviors, 28//(2), 498-506. https://doi.org/10.1037/a0034706
Britton, W.B., Bootzin, R.R., Cousins, J.C., Hasler, B.P., Peck, T., & Shapiro, S.L. (2010). The contribution of mindfulness practice to a multicomponent behavioral sleep intervention following substance abuse treatment in adolescents: A treatment-development study. //Substance Abuse, 31//(2), 86-97. https://doi.org/10.1080/08897071003641297
Kiken, L.G., Lundberg, K.B., & Fredrickson, B.L. (2017). Being present and enjoying it: Dispositional mindfulness and savoring the moment are distinct, interactive predictors of positive emotions and psychological health. //Mindfulness, 8//(5), 1280-1290. https://doi.org/10.1007/s12671-017-0704-3
Collins, S.E., Chawla, N., Hsu, S.H., Grow, J., Otto, J.M., & Marlatt, G.A. (2009). Language-based measures of mindfulness: Initial validity and clinical utility. //Psychology of Addictive Behaviors, 23//(4), 743-749. https://doi.org/10.1037/a0017579
Bowen, S., & Vieten, C. (2012). A compassionate approach to the treatment of addictive behaviors: The contributions of Alan Marlatt to the field of mindfulness-based interventions. //Addiction Research & Theory, 20//(3), 243-249. https://doi.org/10.3109/16066359.2011.647132
Butzer, B., LoRusso, A., Shin, S.H., & Khalsa, S.B.S. (2017). Evaluation of yoga for preventing adolescent substance use risk factors in a middle school setting: A preliminary group-randomized controlled trial. //Journal of Youth and Adolescence, 46//(3), 603-632. https://doi.org/10.1007/s10964-016-0513-3
Shorey, R.C., Anderson, S., Lookatch, S., Moore, T.M., & Stuart, G.L. (2015). The relation between moment-to-moment mindful attention and anxiety among young adults in substance use treatment. //Substance Abuse, 36//(3), 374-379. https://doi.org/10.1080/08897077.2014.935841
Shorey, R.C., Anderson, S., & Stuart, G.L. (2015). The relation between trait mindfulness and aggression in men seeking residential substance use treatment. //Journal of Interpersonal Violence, 30//(10), 1633-1650. https://doi.org/10.1177/0886260514548586
Belzer, F., Schmidt, S., Lucius-Hoene, G., Schneider, J.F., Orellana-Rios, C.L., & Sauer, S. (2013). Challenging the construct validity of mindfulness assessment-a cognitive interview study of the Freiburg mindfulness inventory. //Mindfulness, 4//(1), 33-44. https://doi.org/10.1007/s12671-012-0165-7
Shorey, R.C., Brasfield, H., Anderson, S., & Stuart, G.L. (2014). Mindfulness deficits in a sample of substance abuse treatment seeking adults: A descriptive investigation. //Journal of Substance Use, 19//(42737), 194-198. https://doi.org/10.3109/14659891.2013.770570
Shorey, R.C., Elmquist, J., Wolford-Clevenger, C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between dispositional mindfulness, borderline personality features, and suicidal ideation in a sample of women in residential substance use treatment. //Psychiatry Research, 238//, 122-128. https://doi.org/10.1016/j.psychres.2016.02.040
Schall, M., Goetz, T., Martiny, S.E., & Hall, N.C. (2017). It ain't over 'til it's over: The effect of task completion on the savoring of success. //Motivation and Emotion, 41//(1), 38-50. https://doi.org/10.1007/s11031-016-9591-5
Smith, J.L., & Bryant, F.B. (2016). The benefits of savoring life: Savoring as a moderator of the relationship between health and life satisfaction in older adults. //International of Aging & Human Development, 84//(1), 3-23. https://doi.org/10.1177/0091415016669146
Shorey, R.C., Elmquist, J., Anderson, S.E., & Stuart, G.L. (2015). Dispositional mindfulness and aggression among women in residential substance use treatment. //Substance Use & Misuse, 50//(14),1840-1844. https://doi.org/10.3109/10826084.2015.1050112
Barrett, K., & Chang, Y.P. (2016). Behavioral interventions targeting chronic pain, depression, and substance use disorder in primary care. //Journal of Nursing Scholarship, 48//(4), 345-353. https://doi.org/10.1111/jnu.12213
Bolt, K.L. (2016). Descending from the summit: Aftercare planning for adolescents in wilderness therapy. //Contemporary Family Therapy, 38//(1), 62-74. https://doi.org/10.1007/s10591-016-9375-9
Brewer, J.A., Bowen, S., Smith, J.T., Marlatt, G.A., & Potenza, M.N. (2010). Mindfulness-based treatments for co-occurring depression and substance use disorders: What can we learn from the brain?. //Addiction, 105//(10), 1698-1706. https://doi.org/10.1111/j.1360-0443.2009.02890.x
Liehr, P., Marcus, M.T., Carroll, D., Granmayeh, L.K., Cron, S.G., & Pennebaker, J.W. (2010). Linguistic analysis to assess the effect of a mindfulness intervention on self-change for adults in substance use recovery. //Substance Abuse, 31//(2), 79-85. https://doi.org/10.1080/08897071003641271
Luoma, J., Drake, C.E., Kohlenberg, B.S., & Hayes, S.C. (2011). Substance Abuse and psychological flexibility: The development of a new measure. //Addiction Research & Theory, 19//(1), 3-13. https://doi.org/10.3109/16066359.2010.524956
Bowen, S., Witkiewitz, K., Dillworth, T.M., & Marlatt, G.A. (2007). The role of thought suppression in the relationship between mindfulness meditation and alcohol use. //Addictive Behaviors, 32//(10), 2324-2328. https://doi.org/10.1016/j.addbeh.2007.01.025
Kotze, M., & Nel, P. (2016). The psychometric properties of the mindful attention awareness scale (MAAS) and Freiburg mindfulness inventory (fmi) as measures of mindfulness and their relationship with burnout and work engagement. //SA Journal of Industrial Psychology, 42//(1),a1366. https://doi.org/10.4102/sajip.v42i1.1366
Eisenlohr-Moul, T.A., Walsh, E.C., Charnigo, R.J., Lynam, D.R., & Baer, R.A. (2012). The "what" and the "how" of dispositional mindfulness: Using interactions among subscales of the five-facet mindfulness questionnaire to understand its relation to substance use. //Assessment, 19//(3), 276-286. https://doi.org/10.1177/1073191112446658
Glasner, S., Mooney, L.J., Ang, A., Garneau, H.C., Hartwell, E., Brecht, M.L., ... & Rawson, R.A. (2017). Mindfulness-based relapse prevention for stimulant dependent adults: A pilot randomized clinical trial. //Mindfulness, 8//(1), 126-135. https://doi.org/10.1007/s12671-016-0586-9
Elmquist, J., Shorey, R.C., Anderson, S.E., & Stuart, G.L. (2017). A preliminary investigation of the relationship between dispositional mindfulness and eating disorder symptoms among men in residential substance use treatment. //Addiction Research & Theory, 25//(1), 67-73. https://doi.org/10.1080/16066359.2016.1198475
Shorey, R.C., Brasfield, H., Anderson, S., & Stuart, G.L. (2014). Differences in trait mindfulness across mental health symptoms among adults in substance use treatment. //Substance Use & Misuse, 49//(5), 595-600. https://doi.org/10.3109/10826084.2014.850310
Brewer, J.A., Sinha, R., Chen, J.A., Michalsen, R.N., Babuscio, T.A., Nich, C., ... & Rounsaville, B.J. (2009). Mindfulness training and stress reactivity in substance abuse: Results from a randomized, controlled stage i pilot study. //Substance Abuse, 30//(4), 306-317. https://doi.org/10.1080/08897070903250241
Wittenauer, J., Ascher, M., Briggie, A., Kreiter, A., & Chavez, J. (2015). The role of complementary and alternative medicine in adolescent substance use disorders. //Adolescent Psychiatry, 5//(2), 96-104. https://doi.org/10.2174/2210676605666150311224407
Shorey, R.C., Brasfield, H., Anderson, S., & Stuart, G.L. (2015). The relation between trait mindfulness and early maladaptive schemas in men seeking substance use treatment. //Mindfulness, 6//(2), 348-355. https://doi.org/10.1007/s12671-013-0268-9
Bowen, S., & Enkema, M.C. (2014). Relationship between dispositional mindfulness and substance use: Findings from a clinical sample. //Addictive Behaviors, 39//(3), 532-537. https://doi.org/10.1016/j.addbeh.2013.10.026
Shorey, R.C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2015). Dispositional mindfulness, spirituality, and substance use in predicting depressive symptoms in a treatment-seeking sample. //Journal of Clinical Psychology, 71//(4), 334-345. https://doi.org/10.1002/jclp.22139
Shorey, R.C., Anderson, S., & Stuart, G.L. (2015). Trait mindfulness and early maladaptive schemas in women seeking residential substance use treatment: A preliminary investigation. //Addiction Research & Theory, 23//(4), 280-286. https://doi.org/10.3109/16066359.2014.981810
Marcus, M.T., Schmitz, J., Moeller, G., Liehr, P., Cron, S.G., Swank, P., ... & Granmayeh, L.K. (2009). Mindfulness-based stress reduction in therapeutic community treatment: A stage 1 trial. //American Journal of Drug and Alcohol Abuse, 35//(2), 103-108. https://doi.org/10.1080/00952990902823079
Halkjelsvik, T. (2015). Substance use disinhibition associated with economically rational decisions to quit a boring task. //Personality and Individual Differences, 80//, 101-106. https://doi.org/10.1016/j.paid.2015.02.028
Norton, A.R., Abbott, M.J., Norberg, M.M., & Hunt, C. (2015). A systematic review of mindfulness and acceptance-based treatments for social anxiety disorder. //Journal of Clinical Psychology, 71//(4), 283-301. https://doi.org/10.1002/jclp.22144
Chawla, N., Collins, S., Bowen, S., Hsu, S., Grow, J., Douglass, A., ... & Marlatt, G.A. (2010). The mindfulness-based relapse prevention adherence and competence scale: Development, interrater reliability, and validity. //Psychotherapy Research, 20//(4), 388-397. https://doi.org/10.1080/10503300903544257
Hurley, D.B., & Kwon, P. (2012). Results of a study to increase savoring the moment: Differential impact on positive and negative outcomes. //Journal of Happiness Studies, 13//(4), 579-588. https://doi.org/10.1007/s10902-011-9280-8
Luoma, J.B., Kohlenberg, B.S., Hayes, S.C., & Fletcher, L. (2012). Slow and steady wins the race: A randomized clinical trial of acceptance and commitment therapy targeting shame in substance use disorders. //Journal of Consulting and Clinical Psychology, 80//(1), 43-53. https://doi.org/10.1037/a0026070
Biseul, I., Icick, R., Seguin, P., Bellivier, F., & Scott, J. (2017). Feasibility and acceptability of the "habit' group programme for comorbid bipolar and alcohol and substance use disorders. //Clinical Psychology & Psychotherapy, 24//(4), 887-898. https://doi.org/10.1002/cpp.2053
di Pierdomenico, E.A., Kadziolka, M., & Miller, C.J. (2017). Mindfulness correlates with stress and coping in university students. //Canadian Journal of Higher Education, 47//(2), 121-134. https://www.mentalhealthacademy.net/journal_archive/ucp094.pdf
DeWall, C.N., Pond, R.S., Carter, E.C., McCullough, M.E., Lambert, N.M., Fincham, F.D., ... & Nezlek, J.B. (2014). Explaining the relationship between religiousness and substance use: Self-control matters. //Journal of Personality and social psychology, 107//(2), 339-351. https://doi.org/10.1037/a0036853
Olsson, K.L., Cooper, R.L., Nugent, W.R., & Reid, R.C. (2016). Addressing negative affect in substance use relapse prevention. //Journal of Human Behavior in the Social Environment, 26//(1), 2-14. https://doi.org/10.1080/10911359.2015.1058138
Bruggeman-Everts, F.Z., Van der Lee, M.L., Van't Hooft, E.F.M., & Nyklicek, I. (2017). Validation of the Dutch Freiburg Mindfulness Inventory in Patients With Medical Illness. //Sage Open, 7//(2). https://doi.org/10.1177/2158244017705936
Dakwar, E., & Levin, F.R. (2009). The emerging role of meditation in addressing psychiatric illness, with a focus on substance use disorders. //Harvard Review of Psychiatry, 17//(4), 254-267. https://doi.org/10.1080/10673220903149135
Bootzin, R.R., & Stevens, S.J. (2005). Adolescents, substance abuse, and the treatment of insomnia and daytime sleepiness. //Clinical Psychology Review, 25//(5), 629-644. https://doi.org/10.1016/j.cpr.2005.04.007
Price, C.J., McBride, B., Hyerle, L., & Kivlahan, D.R. (2007). Mindful awareness in body-oriented therapy for female veterans with post-traumatic stress disorder taking prescription analgesics for chronic pain: A feasibility study. //Alternative Therapies in Health and Medicine, 13//(6), 32-40. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037268/
Heidenreich, T., Strohle, G., & Michalak, J. (2006). Mindfulness: Conceptual aspects and results of the Freiburg mindfulness inventory. //Verhaltenstherapie, 16//(1), 33-40. https://doi.org/10.1159/000091521
Russell, K.C., Gillis, H.L.L., & Heppner, W. (2016). An examination of mindfulness-based experiences through adventure in substance use disorder treatment for young adult males: A pilot study. //Mindfulness, 7//(2), 320-328. https://doi.org/10.1007/s12671-015-0441-4
Amaro, H., Spear, S., Vallejo, Z., Conron, K., & Black, D.S. (2014). Feasibility, acceptability, and preliminary outcomes of a mindfulness-based relapse prevention intervention for culturally-diverse, low-income women in substance use disorder treatment. //Substance Use & Misuse, 49//(5), 547-559. https://doi.org/10.3109/10826084.2013.852587
Sauer, S., Ziegler, M., Danay, E., Ives, J., & Kohls, N. (2013). Specific Objectivity of Mindfulness—A Rasch Analysis of the Freiburg Mindfulness Inventory. //Mindfulness, 4//(1), 45-54. https://doi.org/10.1007/s12671-012-0145-y
Webb, J.R., Hirsch, J.K., & Toussaint, L. (2015). Forgiveness as a positive psychotherapy for addiction and suicide: Theory, research, and practice. //Spirituality in Clinical Practice, 2//(1), 48-60. https://doi.org/10.1037/scp0000054
Mitmansgruber, H., Beck, T.N., Hofer, S., & Schussler, G. (2009). When you don't like what you feel: Experiential avoidance, mindfulness and meta-emotion in emotion regulation. //Personality and Individual Differences, 46//(4), 448-453. https://doi.org/10.1016/j.paid.2008.11.013
Mitmansgruber, H., Beck, T.N., & Schussler, G. (2008). Mindful helpers: Experiential avoidance, meta-emotions, and emotion regulation in paramedics. //Journal of Research in Personality, 42//(5), 1358-1363. https://doi.org/10.1016/j.jrp.2008.03.012
Dakwar, E., & Levin, F.R. (2013). Individual mindfulness-based psychotherapy for cannabis or cocaine dependence: A pilot feasibility trial. //American Journal on Addictions, 22//(6), 521-526. https://doi.org/10.1111/j.1521-0391.2013.12036.x
Temme, L.J., & Kopak, A.M. (2016). Maximizing recovery through the promotion of mindfulness and spirituality. //Journal of Religion and Spirituality in Social Work, 35//(42737), 41-56. https://doi.org/10.1080/15426432.2015.1067591
Chen, S.Y., & Zhou, R.L. (2014). Validation of a Chinese Version of the Freiburg Mindfulness Inventory–Short Version. //Mindfulness, 5//(5), 529-535. https://doi.org/10.1007/s12671-013-0208-8
Williams, J.F., Burton, R.S., & Warzinski, S.S. (2014). The role of the parent in adolescent substance use. //Pediatric Annals, 43//(10), E237-E241. https://doi.org/10.3928/00904481-20140924-07
Staiger, P.K., Dawe, S., Richardson, B., Hall, K., & Kambouropoulos, N. (2014). Modifying the risk associated with an impulsive temperament: A prospective study of drug dependence treatment. //Addictive Behaviors, 39//(11), 1676-1681. https://doi.org/10.1016/j.addbeh.2014.05.001
Nakamura, Y., Lipschitz, D.L., Kanarowski, E., McCormick, T., Sutherland, D., & Melow-Murchie, M. (2015). Investigating impacts of incorporating an adjuvant mind-body intervention method into treatment as usual at a community-based substance abuse treatment facility: A pilot randomized controlled study. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572489
Bowen, S., Witkiewitz, K., Dillworth, T.M., Chawla, N., Simpson, T.L., Ostafin, B.D., ... & Marlatt, G.A. (2006). Mindfulness meditation and substance use in an incarcerated population. //Psychology of Addictive Behaviors, 20//(3), 343-347. https://doi.org/10.1037/0893-164X.20.3.343
Elmquist, J., Shorey, R.C., Anderson, S., & Stuart, G.L. (2016). Are borderline personality symptoms associated with compulsive sexual behaviors among women in treatment for substance use disorders? an exploratory study. //Journal of Clinical Psychology, 72//(10), 1077-1087. https://doi.org/10.1002/jclp.22310
Arevalo, S., Prado, G., & Amaro, H. (2008). Spirituality, sense of coherence, and coping responses in women receiving treatment for alcohol and drug addiction. //Evaluation and Program Planning, 31//(1), 113-123. https://doi.org/10.1016/j.evalprogplan.2007.05.009
Kristofersson, G.K., Beckers, T., & Krueger, R. (2016). Perceptions of an adapted mindfulness program for persons experiencing substance use disorders and traumatic brain injury. //Journal of Addictions Nursing, 27//(4), 247-253. https://doi.org/10.1097/JAN.0000000000000144
Garland, E.L., Roberts-Lewis, A., Tronnier, C.D., Graves, R., & Kelley, K. (2016). Mindfulness-Oriented Recovery Enhancement versus CBT for co-occurring substance dependence, traumatic stress, and psychiatric disorders: Proximal outcomes from a pragmatic randomized trial. //Behaviour Research and Therapy, 77//, 7-16. https://doi.org/10.1016/j.brat.2015.11.012
Tam, H.L., Shik, A.W.Y., & Lam, S.S.L. (2016). Using expressive arts in relapse prevention of young psychotropic substance abusers in Hong Kong. //Children and Youth Services Review, 60//, 88-100. https://doi.org/10.1016/j.childyouth.2015.11.022
Robinson, J.M., Ladd, B.O., & Anderson, K.G. (2014). When you see it, let it be: Urgency, mindfulness and adolescent substance use. //Addictive Behaviors, 39//(6), 1038-1041. https://doi.org/10.1016/j.addbeh.2014.02.011
Bowen, S., Somohano, V.C., Rutkie, R.E., Manuel, J.A., & Rehder, K.L. (2017). Mindfulness-based relapse prevention for methadone maintenance: A feasibility trial. //Journal of Alternative and Complementary Medicine, 23//(7), 541-544. https://doi.org/10.1089/acm.2016.0417
Leigh, J., Bowen, S., & Marlatt, G.A. (2005). Spirituality, mindfulness and substance abuse. //Addictive Behaviors, 30//(7), 1335-1341. https://doi.org/10.1016/j.addbeh.2005.01.010
Witkiewitz, K., Greenfield, B.L., & Bowen, S. (2013). Mindfulness-based relapse prevention with racial and ethnic minority women. //Addictive Behaviors, 38//(12), 2821-2824. https://doi.org/10.1016/j.addbeh.2013.08.018
[img[tps28.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Wilson, D.S., Talsma, A., & Martyn, K. (2011). Mindful staffing: A qualitative description of charge nurses' decision-making behaviors. //Western Journal of Nursing Research, 33//(6), 805-824. https://doi.org/10.1177/0193945910396519
Scheick, D.M. (2011). Developing self-Aware mindfulness to manage countertransference in the nurse-client relationship: An evaluation and developmental Study. //Journal of Professional Nursing, 27//(2), 114-123. https://doi.org/10.1016/j.profnurs.2010.10.005
Leonard, L. (2017). Emotional displays:-nurse educators engaging and reflecting on their own emotional displays in preparing nursing students for the emotional complexities of nursing practice. //Nurse Education in Practice, 26//, 21-26. https://doi.org/10.1016/j.nepr.2017.06.001
Watanabe, N., Furukawa, T.A., Horikoshi, M., Katsuki, F., Narisawa, T., Kumachi, M., ... & Matsuoka, Y. (2015). A mindfulness-based stress management program and treatment with omega-3 fatty acids to maintain a healthy mental state in hospital nurses (Happy Nurse Project): Study protocol for a randomized controlled trial. //Trials, 16//. https://doi.org/10.1186/s13063-015-0554-z
Myers, R.E. (2017). Cultivating mindfulness to promote self-care and well-being in perioperative nurses. //Aorn Journal, 105//(3), 259-266. https://doi.org/10.1016/j.aorn.2017.01.005
Mealer, M., Conrad, D., Evans, J., Jooste, K., Solyntjes, J., Rothbaum, B., ... & Moss, M. (2014). Feasibility and acceptability of a resilience training program for intensive care unit nurses. //American Journal of Critical Care, 23//(6), E97-E105. https://doi.org/10.4037/ajcc2014747
White, L. (2014). Mindfulness in nursing: An evolutionary concept analysis. //Journal of Advanced Nursing, 70//(2), 282-294. https://doi.org/10.1111/jan.12182
Chesak, S.S., Bhagra, A., Schroeder, D.R., Foy, D.A., Cutshall, S.M., & Sood, A. (2015). Enhancing resilience among new nurses: Feasibility and efficacy of a pilot intervention. //Ochsner Journal, 15//(1), 38-44. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365845/
Mathad, M.D., Pradhan, B., & Rajesh, S.K. (2017). Correlates and predictors of resilience among baccalaureate nursing students. //Journal of Clinical and Diagnostic Research, 11//(2), JC5-JC8. https://doi.org/10.7860/JCDR/2017/24442.9352
Cusack, L., Smith, M., Hegney, D., Rees, C.S., Breen, L.J., Witt, R.R., ... & Cheung, K. (2016). Exploring environmental factors in nursing workplaces that promote psychological resilience: Constructing a unified theoretical model. //Frontiers in Psychology, 7//. https://doi.org/10.3389/fpsyg.2016.00600
Haas, A.S. (2015). Modeling and measurement of interpersonal attraction and coordination in charged social space-time. //Neuroquantology, 13//(1), 1-9. http://dx.doi.org/10.14704/nq.2015.13.1.801
Sredl, D., & Aukamp, V. (2006). Evidence-based nursing care management for the pregnant woman With an ostomy. //Journal of Wound Ostomy and Continence Nursing, 33//(1), 42-49. http://dx.doi.org/10.1097/00152192-200601000-00005
Walker, M., & Mann, R.A. (2016). Exploration of mindfulness in relation to compassion, empathy and reflection within nursing education. //Nurse Education Today, 40//, 188-190. https://doi.org/10.1016/j.nedt.2016.03.005
Song, Y., & Lindquist, R. (2015). Effects of mindfulness-based stress reduction on depression, anxiety, stress and mindfulness in Korean nursing students. //Nurse Education Today, 35//(1), 86-90. https://doi.org/10.1016/j.nedt.2014.06.010
Drury, V., Craigie, M., Francis, K., Aoun, S., & Hegney, D.G. (2014). Compassion satisfaction, compassion fatigue, anxiety, depression and stress in registered nurses in Australia: Phase 2 results. //Journal of Nursing Management, 22//(4), 519-531. https://doi.org/10.1111/jonm.12168
Saedpanah, D., Salehi, S., & Moghaddam, L.F. (2016). The effect of emotion regulation training on occupational stress of critical care nurses. //Journal of Clinical and Diagnostic Research, 10//(12), VC1-VC4. https://doi.org/10.7860/JCDR/2016/23693.9042
Pipe, T.B., Bortz, J.J., Dueck, A., Pendergast, D., Buchda, V., & Summers, J. (2009). Nurse leader mindfulness meditation program for stress management a randomized controlled trial. //Journal of Nursing Administration, 39//(3), 130-137. DOI: 10.1097/NNA.0b013e31819894a0
Gregg, S.R., & Twibell, K.R. (2016). Try-it-on experiential learning of holistic stress management in a graduate nursing curriculum. //Journal of Holistic Nursing, 34//(3), 300-308. https://doi.org/10.1177/0898010115611788
Chamberlain, D., Williams, A., Stanley, D., Mellor, P., Cross, W., & Siegloff, L. (2016). Dispositional mindfulness and employment status as predictors of resilience in third year nursing students: A quantitative study. //Nursing Open, 3//(4), 212-221. https://doi.org/10.1002/nop2.56
Rees, C.S., Heritage, B., Osseiran-Moisson, R., Chamberlain, D., Cusack, L., Anderson, J., ... & Hegney, D.G. (2016). Can We Predict Burnout among Student Nurses? An Exploration of the ICWR-1 Model of Individual Psychological Resilience. //Frontiers in Psychology, 7//. https://dx.doi.org/10.3389%2Ffpsyg.2016.01072
Spadaro, K.C., & Hunker, D.F. (2016). Exploring the effects of an online asynchronous mindfulness meditation intervention with nursing students on stress, mood, and cognition: A descriptive study. //Nurse Education Today, 39//, 163-169. https://doi.org/10.1016/j.nedt.2016.02.006
Burger, K.G., & Lockhart, J.S. (2017). Meditation's effect on attentional efficiency, stress, and mindfulness characteristics of nursing students. //Journal of Nursing Education, 56//(7), 430-434. https://doi.org/10.3928/01484834-20170619-08
Duarte, J., & Pinto-Gouveia, J. (2016). Effectiveness of a mindfulness-based intervention on oncology nurses' burnout and compassion fatigue symptoms: A non-randomized study. //International Journal of Nursing Studies, 64//, 98-107. https://doi.org/10.1016/j.ijnurstu.2016.10.002
Wittenberg-Lyles, E., Goldsmith, J., & Ragan, S.L. (2010). The comfort initiative palliative nursing and the centrality of communication. //Journal of Hospice & Palliative Nursing, 12//(5), 282-292. https://doi.org/10.1097/NJH.0b013e3181ebb45e
Wylde, C.M., Mahrer, N.E., Meyer, R.M.L., & Gold, J.I. (2017). Mindfulness for novice pediatric nurses: Smartphone application versus traditional intervention. //Journal of Pediatric Nursing: nursing Care of Children & Families, 36//, 205-212. https://doi.org/10.1016/j.pedn.2017.06.008
Sundling, V., Sundler, A.J., Holmstrom, I.K., Kristensen, D.V., & Eide, H. (2017). Mindfulness predicts student nurses' communication self-efficacy: A cross-national comparative study. //Patient Education and Counseling, 100//(8), 1558-1563. https://doi.org/10.1016/j.pec.2017.03.016
Kim, M.S., & Patterson, K.T. (2016). Teaching and practicing caring in the classroom: Students' responses to a self-awareness intervention in psychiatric-mental health nursing. //Journal of Christian Nursing, 33//(2), E23-E26. https://doi.org/10.1097/CNJ.0000000000000270
Smith, S.A. (2014). Mindfulness-based stress reduction: An intervention to enhance the effectiveness of nurses' coping with work-related stress. //International Journal of Nursing Knowledge, 25//(2), 119-130. https://doi.org/10.1111/2047-3095.12025
Magtibay, D.L., Chesak, S.S., Coughlin, K., & Sood, A. (2017). Decreasing stress and burnout in nurses efficacy of blended learning with stress management and resilience training program. //Journal of Nursing Administration, 47//(42924), 391-395. https://doi.org/10.1097/NNA.0000000000000501
Potter, P., Deshields, T., Berger, J.A., Clarke, M., Olsen, S., & Chen, L. (2013). Evaluation of a compassion fatigue resiliency program for oncology nurses. //Oncology Nursing Forum, 40//(2), 180-187. https://doi.org/10.1188/13.ONF.180-187
Yang, K.P., & Wu, X.J. (2009). Spiritual intelligence of nurses in two chinese social systems: A cross-sectional comparison study. //Journal of Nursing Research, 17//(3), 189-198. https://doi.org/10.1097/JNR.0b013e3181b2556c
Mackenzie, C.S., Poulin, P.A., & Seidman-Carlson, R. (2006). A brief mindfulness-based stress reduction intervention for nurses and nurse aides. //Applied Nursing Research, 19//(2), 105-109. https://doi.org/10.1016/j.apnr.2005.08.002
Gauthier, T., Meyer, R.M.L., Grefe, D., & Gold, J.I. (2015). An on-the-job mindfulness-based intervention for pediatric ICU nurses: A pilot. //Journal of Pediatric Nursing: Nursing Care of Children & Families, 30//(2), 402-409. https://doi.org/10.1016/j.pedn.2014.10.005
dos Santos, T.M., Kozasa, E.H., Carmagnani, I.S., Tanaka, L.H., Lacerda, S.S., & Nogueira-Martins, L.A. (2016). Positive effects of a stress reduction program based on mindfulness meditation in Brazilian nursing professionals: Qualitative and quantitative evaluation. //Explore: The Journal of Science and Healing, 12//(2), 90-99. https://doi.org/10.1016/j.explore.2015.12.005
Dubert, C.J., Schumacher, A.M., Locker, L., Gutierrez, A.P., & Barnes, V.A. (2016). Mindfulness and emotion regulation among nursing students: Investigating the mediation effect of working memory capacity. //Mindfulness, 7//(5), 1061-1070. https://doi.org/10.1007/s12671-016-0544-6
Kang, Y.S., Choi, S.Y., & Ryu, E. (2009). The effectiveness of a stress coping program based on mindfulness meditation on the stress, anxiety, and depression experienced by nursing students in Korea. //Nurse Education Today, 29//(5), 538-543. https://doi.org/10.1016/j.nedt.2008.12.003
Day, P.O., & Horton-Deutsch, S. (2004). Using mindfulness-based therapeutic interventions in psychiatric nursing practice-part i: Description and empirical support for mindfulness-based interventions. //Archives of Psychiatric Nursing, 18//(5), 164-169. https://doi.org/10.1016/j.apnu.2004.07.003
Chen, Y., Yang, X.L., Wang, L.Y., & Zhang, X.Y. (2013). A randomized controlled trial of the effects of brief mindfulness meditation on anxiety symptoms and systolic blood pressure in Chinese nursing students. //Nurse Education Today, 33//(10), 1166-1172. https://doi.org/10.1016/j.nedt.2012.11.014
Zeller, J.M., & Levin, P.F. (2013). Mindfulness interventions to reduce stress among nursing personnel an occupational health perspective. //Workplace Health & Safety, 61//(2), 86-90. https://doi.org/10.3928/21650799-20130116-67
Mathad, M.D., Pradhan, B., & Sasidharan, R.K. (2017). Effect of yoga on psychological functioning of nursing students: A randomized wait list control trial. //Journal of Clinical and Diagnostic Research, 11//(5) KC01-KC05. https://doi.org/10.7860/JCDR/2017/26517.9833
Moscaritolo, L.M. (2009). Interventional strategies to decrease nursing student anxiety in the clinical learning environment. //Journal of Nursing Education, 48//(1), 17-23. https://doi.org/10.3928/01484834-20090101-08
Ratanasiripong, P., Park, J.F., Ratanasiripong, N., & Kathalae, D. (2015). Stress and anxiety management in nursing students: Biofeedback and mindfulness meditation. //Journal of Nursing Education, 54//(9), 520-524. https://doi.org/10.3928/01484834-20150814-07
Duarte, J., & Pinto-Gouveia, J. (2017). The role of psychological factors in oncology nurses' burnout and compassion fatigue symptoms. //European Journal of Oncology Nursing, 28//, 114-121. https://doi.org/10.1016/j.ejon.2017.04.002
Fiske, E.A. (2017). Contemplative activities in undergraduate nursing courses. //Journal of Nursing Education, 56//(6), 376-380. https://doi.org/10.3928/01484834-20170518-12
Alsaraireh, F.A., & Aloush, S.M. (2017). Mindfulness meditation versus physical exercise in the management of depression among nursing students. //Journal of Nursing Education, 56//(10), 599-604. https://doi.org/10.3928/01484834-20170918-04
Craigie, M., Slatyer, S., Hegney, D., Osseiran-Moisson, R., Gentry, E., Davis, S., ... & Rees, C. (2016). A pilot evaluation of a mindful self-care and resiliency (MSCR) intervention for nurses. //Mindfulness, 7//(3), 764-774. https://doi.org/10.1007/s12671-016-0516-x
Crane, P.J., & Ward, S.F. (2016). Self-healing and self-care for nurses. //AORN Journal, 104//(5), 386-400. https://doi.org/10.1016/j.aorn.2016.09.007
Hicdurmaz, D., & Aydin, A. (2017). The relationship between nursing students' self-compassion and multidimensional perfectionism levels and the factors that influence them. //Journal of Psychiatric Nursing, 8//(2), 86-94. https://doi.org/10.14744/phd.2017.40469
Drew, B.L., Motter, T., Ross, R., Goliat, L.M., Sharpnack, P.A., Govoni, A.L., ... & Rababah, J. (2016). Care for the caregiver evaluation of mind-body self-care for accelerated nursing students. //Holistic Nursing Practice, 30//(3), 148-154. https://doi.org/10.1097/HNP.0000000000000140
Frogeli, E., Djordjevic, A., Rudman, A., Livheim, F., & Gustavsson, P. (2016). A randomized controlled pilot trial of acceptance and commitment training (act) for preventing stress-related ill health among future nurses. //Anxiety Stress and Coping, 29//(2), 202-218. https://doi.org/10.1080/10615806.2015.1025765
Horner, J.K., Piercy, B.S., Eure, L., & Woodard, E.K. (2014). A pilot study to evaluate mindfulness as a strategy to improve inpatient nurse and patient experiences. //Applied Nursing Research, 27//(3), 198-201. https://doi.org/10.1016/j.apnr.2014.01.003
Rushton, C.H., Batcheller, J., Schroeder, K., & Donohue, P. (2015). Burnout and resilience among nurses practicing in high-intensity settings. //American Journal of Critical Care, 24//(5), NA-420. https://doi.org/10.4037/ajcc2015291
Atanes, A.C.M., Andreoni, S., Hirayama, M.S., Montero-Marin, J., Barros, V.V., Ronzani, T.M., ... & Demarzo, M.M.P. (2015). Mindfulness, perceived stress, and subjective well-being: A correlational study in primary care health professionals. //BMC Complementary and Alternative Medicine, 15//. https://doi.org/10.1186/s12906-015-0823-0
du Plessis, E. (2016). Presence: A step closer to spiritual care in nursing. //Holistic Nursing Practice, 30//(1), 47-53. https://doi.org/10.1097/HNP.0000000000000124
Lan, H.K., Subramanian, P., Rahmat, N., & Kar, P.C. (2014). The effects of mindfulness training program on reducing stress and promoting well-being among nurses in critical care units. //Australian Journal of Advanced Nursing, 31//(3), 22-31. http://www.ajan.com.au/Vol31/Issue3/3Pathma.pdf
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8). https://doi.org/10.1371/journal.pone.0136955
Westphal, M., Bingisser, M.B., Feng, T.S., Wall, M., Blakley, E., Bingisser, R., ... & Kleim, B. (2015). Protective benefits of mindfulness in emergency room personnel. //Journal of Affective Disorders, 175//, 79-85. https://doi.org/10.1016/j.jad.2014.12.038
Norouzinia, R., Ramezani, Z., Khalili, A., Dehghani, M., & Sharifis, A. (2017). The effect of mindfulness-based stress reduction training on stress and burnout of nurses. //Indo American Journal of Pharmaceutical Sciences, 4//(5), 1296-1302. https://doi.org/10.5281/zenodo.802200
Sitzman, K.L., Jensen, A., & Chan, S. (2016). Creating a global community of learners in nursing and beyond: Caring science, mindful practice mooc. //Nursing Education Perspectives, 37//(5), 269-274. https://doi.org/10.1097/01.NEP.0000000000000062
Currie, L.M., Desjardins, K.S., Levine, E., Stone, P.W., Schnall, R., Li, J.H., ... & Bakken, S. (2009). Web-based hazard and near-miss reporting as part of a patient safety curriculum. //Journal of Nursing Education, 48//(12), 669-677. https://doi.org/10.3928/01484834-20091113-03
Zeller, J.M., & Lamb, K. (2011). Mindfulness meditation to improve care quality and quality of life in long-term care settings. //Geriatric Nursing, 32//(2), 114-118. https://doi.org/10.1016/j.gerinurse.2010.11.006
Stelter, R. (2010). Experience-based, body-anchored qualitative research interviewing. //Qualitative Health Research, 20//(6), 859-867. https://doi.org/10.1177/1049732310364624
Shirey, M.R. (2007). An evidence-based solution for minimizing stress and anger in nursing students. //Journal of Nursing Education, 46//(12), 568-571. https://search.proquest.com/openview/ae6714361a89d57e0322349887ae8828/1?pq-origsite=gscholar&cbl=47628
Gracia-Gracia, P., & Olivan-Blazquez, B. (2017). Burnout and mindfulness self-compassion in nurses of intensive care units cross-sectional study. //Holistic Nursing Practice, 31//(4), 225-233. https://doi.org/10.1097/HNP.0000000000000215
Snowden, A., Stenhouse, R., Young, J., Carver, H., Carver, F., & Brown, N. (2015). The relationship between emotional intelligence, previous caring experience and mindfulness in student nurses and midwives: A cross sectional analysis. //Nurse Education Today, 35//(1), 152-158. https://doi.org/10.1016/j.nedt.2014.09.004
Frisvold, M.H., Lindquist, R., & McAlpine, C.P. (2012). Living life in the balance at midlife: Lessons learned from mindfulness. //Western Journal of Nursing Research, 34//(2), 265-278. https://doi.org/10.1177/0193945911424171
Elliott, E.C., Walden, M., Young, A., Symes, L., & Fredland, N. (2017). The lived experience of nurse practitioners practicing within the transformational advanced professional practice model: A phenomenological study. //Journal of the American Association of Nurse Practitioners, 29//(6), 324-332. https://doi.org/10.1002/2327-6924.12454
Sanko, J., Mckay, M., & Rogers, S. (2016). Exploring the impact of mindfulness meditation training in pre-licensure and post graduate nurses. //Nurse Education Today, 45//, 142-147. https://doi.org/10.1016/j.nedt.2016.07.006
Dauenhauer, J.A. (2006). Mindfulness theory and professional family caregivers in long-term care facilities. //Journal of Aging Studies, 20//(4), 351-365. https://doi.org/10.1016/j.jaging.2005.11.003
Bussing, A., Falkenberg, Z., Schoppe, C., Recchia, D.R., & Poier, D. (2017). Work stress associated cool down reactions among nurses and hospital physicians and their relation to burnout symptoms. //BMC Health Services Research, 17//. https://doi.org/10.1186/s12913-017-2445-3
Levett-Jones, T., Pitt, V., Courtney-Pratt, H., Harbrow, G., & Rossiter, R. (2015). What are the primary concerns of nursing students as they prepare for and contemplate their first clinical placement experience?. //Nurse Education in Practice, 15//(4), 304-309. https://doi.org/10.1016/j.nepr.2015.03.012
Foureur, M., Besley, K., Burton, G., Yu, N., & Crisp, J. (2013). Enhancing the resilience of nurses and midwives: Pilot of a mindfulness-based program for increased health, sense of coherence and decreased depression, anxiety and stress. //Contemporary Nurse, 45//(1), 114-125. https://doi.org/10.5172/conu.2013.45.1.114
Kemper, K., Bulla, S., Krueger, D., Ott, M.J., McCool, J.A., & Gardiner, P. (2011). Nurses' experiences, expectations, and preferences for mind-body practices to reduce stress. //BMC Complementary and Alternative Medicine, 11//26. https://doi.org/10.1186/1472-6882-11-26
Aldridge, M. (2015). Modelling mindful practice. //Reflective Practice, 16//(3), 312-321. https://doi.org/10.1080/14623943.2015.1023278
Day, P.O., & Horton-Deutsch, S. (2004). Using mindfulness-based therapeutic interventions in psychiatric nursing practice-part ii: Mindfulness-based approaches for all phases of psychotherapy-clinical case study. //Archives of Psychiatric Nursing, 18//(5), 170-177. https://doi.org/10.1016/j.apnu.2004.07.004
Duarte, J., Pinto-Gouveia, J., & Cruz, B. (2016). Relationships between nurses' empathy, self-compassion and dimensions of professional quality of life: A cross-sectional study. //International Journal of Nursing Studies, 60//, 1-11. https://doi.org/10.1016/j.ijnurstu.2016.02.015
Shikai, N., Shono, M., & Kitamura, T. (2009). Effects of coping styles and stressful life events on depression and anxiety in Japanese nursing students: A longitudinal study. //International Journal of Nursing Practice, 15//(3), 198-204. https://doi.org/10.1111/j.1440-172X.2009.01745.x
van der Riet, P., Rossiter, R., Kirby, D., Dluzewska, T., & Harmon, C. (2015). Piloting a stress management and mindfulness program for undergraduate nursing students: Student feedback and lessons learned. //Nurse Education Today, 35//(1), 44-49. https://doi.org/10.1016/j.nedt.2014.05.003
Dickey, J., & Ungerleider, R. (2007). Managing the demands of professional life. //Cardiology in the Young, 17//, 138-144. https://doi.org/10.1017/S1047951107001242
[img[tps29.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Seli, P., Risko, E.F., & Smilek, D. (2016). Assessing the associations among trait and state levels of deliberate and spontaneous mind wandering. //Consciousness and Cognition, 41//, 50-56. https://doi.org/10.1016/j.concog.2016.02.002
Zedelius, C.M., & Schooler, J.W. (2016). The richness of inner experience: Relating styles of daydreaming to creative processes. //Frontiers in Psychology, 6//, 2063. https://doi.org/10.3389/fpsyg.2015.02063
Ralph, B.C.W., Wammes, J.D., Barr, N., & Smilek, D. (2017). Wandering minds and wavering goals: Examining the relation between mind wandering and grit in everyday life and the classroom. //Canadian Journal of Experimental Psychology-revue Canadienne De Psychologie Experimentale, 71//(2), 120-132. https://doi.org/10.1037/cep0000116
Seli, P., Carriere, J.S.A., & Smilek, D. (2015). Not all mind wandering is created equal: Dissociating deliberate from spontaneous mind wandering. //Psychological Research-psychologische Forschung, 79//(5), 750-758. https://doi.org/10.1007/s00426-014-0617-x
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Mind wandering, sleep quality, affect and chronotype: An exploratory study. //PLOS ONE, 9//(3). https://doi.org/10.1371/journal.pone.0091285
Kuypers, K.P.C., Riba, J., Revenga, M.D., Barker, S., Theunissen, E.L., & Ramaekers, J.G. (2016). Ayahuasca enhances creative divergent thinking while decreasing conventional convergent thinking. //Psychopharmacology, 233//(18), 3395-3403. https://doi.org/10.1007/s00213-016-4377-8
Bixler, R., & D'Mello, S. (2016). Automatic gaze-based user-independent detection of mind wandering during computerized reading. //User Modeling and User-adapted Interaction, 26//(1), 33-68. https://doi.org/10.1007/s11257-015-9167-1
Hoffmann, F., Banzhaf, C., Kanske, P., Bermpohl, F., & Singer, T. (2016). Where the depressed mind wanders: Self-generated thought patterns as assessed through experience sampling as a state marker of depression. //Journal of Affective Disorders, 198//, 127-134. https://doi.org/10.1016/j.jad.2016.03.005
Jonkman, L.M., Markus, C.R., Franklin, M.S., & van Dalfsen, J.H. (2017). Mind wandering during attention performance: Effects of ADHD-inattention symptomatology, negative mood, ruminative response style and working memory capacity. //PLOS ONE, 12//(7). https://doi.org/10.1371/journal.pone.0181213
Ruby, F.J.M., Smallwood, J., Sackur, J., & Singer, T. (2013). Is self-generated thought a means of social problem solving?. //Frontiers in Psychology, 4//,0962. https://doi.org/10.3389/fpsyg.2013.00962
Sampedro, F., Revenga, M.D., Valle, M., Roberto, N., Dominguez-Clave, E., Elices, M., ... & Riba, J. (2017). Assessing the psychedelic "after-glow" in Ayahuasca users: Post-acute neurometabolic and functional connectivity changes are associated with enhanced mindfulness capacities. //International Journal of Neuropsychopharmacology, 20//(9), 698-711. https://doi.org/10.1093/ijnp/pyx036
Ellamil, M., Fox, K.C.R., Dixon, M.L., Pritchard, S., Todd, R.M., Thompson, E., ... & Christoff, K. (2016). Dynamics of neural recruitment surrounding the spontaneous arising of thoughts in experienced mindfulness practitioners. //Neuroimage, 136//, 186-196. https://doi.org/10.1016/j.neuroimage.2016.04.034
Hasenkamp, W., Wilson-Mendenhall, C.D., Duncan, E., & Barsalou, L.W. (2012). Mind wandering and attention during focused meditation: A fine-grained temporal analysis of fluctuating cognitive states. //Neuroimage, 59//(1), 750-760. https://doi.org/10.1016/j.neuroimage.2011.07.008
Rahl, H.A., Lindsay, E.K., Pacilio, L.E., Brown, K.W., & Creswell, J.D. (2017). Brief mindfulness meditation training reduces mind wandering: The critical role of acceptance. //Emotion, 17//(2), 224-230. https://doi.org/10.1037/emo0000250
Smallwood, J., Mrazek, M.D., & Schooler, J.W. (2011). Medicine for the wandering mind: Mind wandering in medical practice. //Medical Education, 45//(11), 1072-1080. https://doi.org/10.1111/j.1365-2923.2011.04074.x
Zedelius, C.M., & Schooler, J.W. (2015). Mind wandering “Ahas” versus mindful reasoning: alternative routes to creative solutions //Frontiers in Psychology, 6//,0834. https://doi.org/10.3389/fpsyg.2015.00834
Ostafin, B.D., & Kassman, K.T. (2012). Stepping out of history: Mindfulness improves insight problem solving. //Consciousness and Cognition, 21//(2), 1031-1036. https://doi.org/10.1016/j.concog.2012.02.014
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Chronotype and time-of-day correlates of mind wandering and related phenomena. //Biological Rhythm Research, 45//(1), 37-49. https://doi.org/10.1080/09291016.2013.790651
Konjedi, S., & Maleeh, R. (2017). A closer look at the relationship between the default network, mind wandering, negative mood, and depression. //Cognitive Affective & Behavioral Neuroscience, 17//(4), 697-711. https://doi.org/10.3758/s13415-017-0506-z
Zabelina, D.L., Robinson, M.D., Ostafin, B.D., & Council, J.R. (2011). Manipulating mindfulness benefits creative elaboration at high levels of neuroticism. //Empirical Studies of the Arts, 29//(2), 243-255. https://doi.org/10.2190/EM.29.2.g
Xu, M., Purdon, C., Seli, P., & Smilek, D. (2017). Mindfulness and mind wandering: The protective effects of brief meditation in anxious individuals. //Consciousness and Cognition, 51//, 157-165. https://doi.org/10.1016/j.concog.2017.03.009
Carciofo, R., Song, N., Du, F., Wang, M.M., & Zhang, K. (2017). Metacognitive beliefs mediate the relationship between mind wandering and negative affect. //Personality and Individual Differences, 107//, 78-87. https://doi.org/10.1016/j.paid.2016.11.033
Muller, B.C.N., Gerasimova, A., & Ritter, S.M. (2016). Concentrative meditation influences creativity by increasing cognitive flexibility. //Psychology of Aesthetics Creativity and the Arts, 10//(3), 278-286. https://doi.org/10.1037/a0040335
Fanning, J., Mackenzie, M., Roberts, S., Crato, I., Ehlers, D., & McAuley, E. (2016). Physical activity, mind wandering, affect, and sleep: An ecological momentary assessment. //JMIR mHealth and uHealth, 4//(3). https://doi.org/10.2196/mhealth.5855
Soler, J., Elices, M., Franquesa, A., Barker, S., Friedlander, P., Feilding, A., ... & Riba, J. (2016). Exploring the therapeutic potential of Ayahuasca: Acute intake increases mindfulness-related capacities. //Psychopharmacology, 233//(5), 823-829. https://doi.org/10.1007/s00213-015-4162-0
Haller, C.S., Bosma, C.M., Kapur, K., Zafonte, R., & Langer, E.J. (2017). Mindful creativity matters: Trajectories of reported functioning after severe traumatic brain injury as a function of mindful creativity in patients' relatives: A multilevel analysis. //Quality of Life Research, 26//(4), 893-902. https://doi.org/10.1007/s11136-016-1416-1
Jazaieri, H., Lee, I.A., McGonigal, K., Jinpa, T., Doty, J.R., Gross, J.J., ... & Goldin, P.R. (2016). A wandering mind is a less caring mind: Daily experience sampling during compassion meditation training. //Journal of Positive Psychology, 11//(1), 37-50. https://doi.org/10.1080/17439760.2015.1025418
Baas, M., Nevicka, B., & Ten Velden, F.S. (2014). Specific mindfulness skills differentially predict creative performance. //Personality and Social Psychology Bulletin, 40//(9), 1092-1106. https://doi.org/10.1177/0146167214535813
Burdett, B.R.D., Charlton, S.G., & Starkey, N.J. (2016). Not all minds wander equally: The influence of traits, states and road environment factors on self-reported mind wandering during everyday driving. //Accident Analysis and Prevention, 95//, 1-7. https://doi.org/10.1016/j.aap.2016.06.012
Vago, D.R., & Zeidan, F. (2016). The brain on silent: Mind wandering, mindful awareness, and states of mental tranquility. //Special issue: Advances in meditation research, 1373//, 96-113. https://doi.org/10.1111/nyas.13171
Lundh, L.G., Karim, J., & Quilisch, E. (2007). Deliberate self-harm in 15-year-old adolescents: A pilot study with a modified version of the deliberate self-harm inventory. //Scandinavian Journal of Psychology, 48//(1), 33-41.
https://doi.org/10.1111/j.1467-9450.2007.00567.x
Smallwood, J., & Schooler, J.W. (2006). The restless mind. //Psychological Bulletin, 132//(6), 946-958. https://doi.org/10.1037/0033-2909.132.6.946
Marchetti, I., Van de Putte, E., & Koster, E.H.W. (2014). Self-generated thoughts and depression: From daydreaming to depressive symptoms. //Frontiers in Human Neuroscience, 8//, 131. https://doi.org/10.3389/fnhum.2014.00131
Argus, G., & Thompson, M. (2008). Perceived social problem solving, perfectionism, and mindful awareness in clinical depression: An exploratory study. //Cognitive Therapy and Research, 32//(6), 745-757. https://doi.org/10.1007/s10608-006-9102-1
Ju, Y.J., & Lien, Y.W. (2016). Better control with less effort: The advantage of using focused-breathing strategy over focused-distraction strategy on thought suppression. //Consciousness and Cognition, 40//, 9-16. https://doi.org/10.1016/j.concog.2015.12.002
Deng, Y.Q., Li, S., & Tang, Y.Y. (2014). The relationship between wandering mind, depression and mindfulness. //Mindfulness, 5//(2), 124-128. https://doi.org/10.1007/s12671-012-0157-7
Watkins, E., & Baracaia, S. (2002). Rumination and social problem-solving in depression. //Behaviour Research and Therapy, 40//(10), 1179-1189. https://doi.org/10.1016/S0005-7967(01)00098-5
Ding, X.Q., Tang, Y.Y., Tang, R.X., & Posner, M.I. (2014). Improving creativity performance by short-term meditation. //Behavioral and Brain Functions, 10//. https://doi.org/10.1186/1744-9081-10-9
Banks, J.B., Welhaf, M.S., Hood, A.V.B., Boals, A., & Tartar, J.L. (2016). Examining the role of emotional valence of mind wandering: All mind wandering is not equal. //Consciousness and Cognition, 43//, 167-176. https://doi.org/10.1016/j.concog.2016.06.003
Ottaviani, C., & Couyoumdjian, A. (2013). Pros and cons of a wandering mind: A prospective study. //Frontiers in Psychology, 4//, 524. https://doi.org/10.3389/fpsyg.2013.00524
Kuehner, C., Welz, A., Reinhard, I., & Alpers, G.W. (2017). Lab meets real life: A laboratory assessment of spontaneous thought and its ecological validity. //PLOS ONE, 12//(9). https://doi.org/10.1371/journal.pone.0184488
[img[tps3.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Bonn-Miller, M.O., Zvolensky, M.J., & Bernstein, A. (2009). Discomfort intolerance: Evaluation of incremental validity for panic-relevant symptoms using 10% carbon dioxide-enriched air provocation. //Journal of Anxiety Disorders, 23//(2), 197-203. https://doi.org/10.1016/j.janxdis.2008.06.007
Kim, M.K., Lee, K.S., Kim, B., Choi, T.K., & Lee, S.H. (2016). Impact of mindfulness-based cognitive therapy on intolerance of uncertainty in patients with panic disorder. //Psychiatry Investigation, 13//(2), 196-202. https://doi.org/10.4306/pi.2016.13.2.196
Kim, B., Lee, S.H., Kim, Y.W., Choi, T.K., Yook, K., Suh, S.Y., ... & Yook, K.H. (2010). Effectiveness of a mindfulness-based cognitive therapy program as an adjunct to pharmacotherapy in patients with panic disorder. //Journal of Anxiety Disorders, 24//(6), 590-595. https://doi.org/10.1016/j.janxdis.2010.03.019
Hadash, Y., Plonsker, R., Vago, D.R., & Bernstein, A. (2016). Experiential self-referential and selfless processing in mindfulness and mental health: Conceptual model and implicit measurement methodology. //Psychological Assessment, 28//(7), 856-869. https://doi.org/10.1037/pas0000300
Garland, E.L., Geschwind, N., Peeters, F., & Wichers, M. (2015). Mindfulness training promotes upward spirals of positive affect and cognition: Multilevel and autoregressive latent trajectory modeling analyses. //Frontiers in Psychology//, 6,15. https://doi.org/10.3389/fpsyg.2015.00015
Chamberlain, N., & Kolski-Andreaco, A. (2017). May 2017: This month in JoVE. //JoVE: Journal of Visualized Experiments//, 123. https://doi.org/10.3791/5839
Kim, Y.W., Lee, S.H., Choi, T.K., Suh, S.Y., Kim, B., Kim, C.M., ... & Yook, K.H. (2009). Effectiveness of mindfulness-based cognitive therapy as an adjuvant to pharmacotherapy in patients with panic disorder or generalized anxiety disorder. //Depression and Anxiety, 26//(7), 601-606. https://doi.org/10.1002/da.20552
McKelvey, B., & Andriani, P. (2010). Avoiding extreme risk before it occurs: A complexity science approach to incubation. //Risk Management, 12//(1), 54-82. https://doi.org/10.1057/rm.2009.14
Pelser, H.J., Bosch, A., & Schurink, W. (2016). An organisational coherence model to maintain employee contributions during organisational crises. //SA Journal of Human Resource Management, 14//(1). https://doi.org/10.4102/sajhrm.v14i1.725
Kraemer, K.M., McLeish, A.C., & Johnson, A.L. (2015). Associations between mindfulness and panic symptoms among young adults with asthma. //Psychology Health & Medicine, 20//(3), 322-331. https://doi.org/10.1080/13548506.2014.936888
Kabat-Zinn, J., Massion, A.O., Kristeller, J., Peterson, L.G., Fletcher, K.E., Pbert, L., ... & Santorelli, S.F. (1992). Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders. //American Journal of Psychiatry, 149//(7),936-943. https://doi.org/10.1176/ajp.149.7.936
Lee, S.H., Ahn, S.C., Lee, Y.J., Choi, T.K., Yook, K.H., & Suh, S.Y. (2007). Effectiveness of a meditation-based stress management program as an adjunct to pharmacotherapy in patients with anxiety disorder. //Journal of Psychosomatic Research, 62//(2), 189-195. https://doi.org/10.1016/j.jpsychores.2006.09.009
Masuda, A., Hayes, S.C., Twohig, M.P., Drossel, C., Lillis, J., & Washio, Y. (2009). A parametric study of cognitive defusion and the believability and discomfort of negative self-relevant thoughts. //Behavior Modification, 33//(2), 250-262. https://doi.org/10.1177/0145445508326259
Domotor, Z., Doering, B.K., & Koteles, F. (2016). Dispositional aspects of body focus and idiopathic environmental intolerance attributed to electromagnetic fields (IEI - EMF). //Scandinavian Journal of Psychology, 57//(2), 136-143. https://doi.org/10.1111/sjop.12271
Garland, E.L., Kiken, L.G., Faurot, K., Palsson, O., & Gaylord, S.A. (2017). Upward spirals of mindfulness and reappraisal: Testing the mindfulness-to-meaning theory with autoregressive latent trajectory modeling. //Cognitive Therapy and Research, 41//(3), 381-392. https://doi.org/10.1007/s10608-016-9768-y
Hargus, E., Crane, C., Barnhofer, T., & Williams, J.M.G. (2010). Effects of mindfulness on meta-awareness and specificity of describing prodromal symptoms in suicidal depression. //Emotion, 10//(1), 34-42. https://doi.org/10.1037/a0016825
Plonsker, R., Biran, D.G., Zvielli, A., & Bernstein, A. (2017). Cognitive fusion and emotion differentiation: Does getting entangled with our thoughts dysregulate the generation, experience and regulation of emotion? //Cognition & Emotion, 31//(6), 1286-1293. https://doi.org/10.1080/02699931.2016.1211993
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2017). Improving the precision of the Five Facet Mindfulness Questionnaire using a Rasch approach. //Mindfulness, 8//(4), 995-1008. https://doi.org/10.1007/s12671-016-0676-8
Gotink, R.A., Hermans, K.S.F.M., Geschwind, N., De Nooij, R., De Groot, W.T., & Speckens, A.E.M. (2016). Mindfulness and mood stimulate each other in an upward spiral: A mindful walking intervention using experience sampling. //Mindfulness, 7//(5), 1114-1122. https://doi.org/10.1007/s12671-016-0550-8
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2016). Rasch analysis of the kentucky inventory of mindfulness skills. //Mindfulness, 7//(2), 466-478. https://doi.org/10.1007/s12671-015-0475-7
Sauer, S., Ziegler, M., Danay, E., Ives, J., & Kohls, N. (2013). Specific objectivity of mindfulness: A Rasch analysis of the Freiburg Mindfulness Inventory. //Mindfulness, 4//(1), 45-54. https://doi.org/10.1007/s12671-012-0145-y
Sauer, S., Walach, H., Offenbacher, M., Lynch, S., & Kohls, N. (2011). Measuring mindfulness: A Rasch analysis of the Freiburg Mindfulness inventory. //Religions, 2//(4), 693-706. https://doi.org/10.3390/rel2040693
Lotan, G., Tanay, G., & Bernstein, A. (2013). Mindfulness and distress tolerance: Relations in a mindfulness preventive intervention. //International Journal of Cognitive Therapy, 6//(4), 371-385.
Medvedev, O.N., Siegert, R.J., Feng, X.J., Billington, D.R., Jang, J.Y., & Krageloh, C.U. (2016). Measuring trait mindfulness: How to improve the precision of the Mindful Attention Awareness Scale using a Rasch model. //Mindfulness, 7//(2), 384-395. https://doi.org/10.1007/s12671-015-0454-z
Bergen-Cico, D., & Cheon, S. (2014). The mediating effects of mindfulness and self-compassion on trait anxiety. //Mindfulness, 5//(5), 505-519. https://doi.org/10.1007/s12671-013-0205-y
Shorey, R.C., Anderson, S., Lookatch, S., Moore, T.M., & Stuart, G.L. (2015). The relation between moment-to-moment mindful attention and anxiety among young adults in substance use treatment. //Substance Abuse, 36//(3), 374-379. https://doi.org/10.1080/08897077.2014.935841
[img[tps30.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Blake, M., Schwartz, O., Waloszek, J.M., Raniti, M., Simmons, J.G., Murray, G., ... & Allen, N.B. (2017). The sense study: Treatment mechanisms of a cognitive behavioral and mindfulness-based group sleep improvement intervention for at-risk adolescents. //Sleep, 40//(6). https://doi.org/10.1093/sleep/zsx061
Wong, S.Y.S., Zhang, D.X., Li, C.C.K., Yip, B.H.K., Chan, D.C.C., Ling, Y.M., ... & Wing, Y.K. (2017). Comparing the effects of mindfulness-based cognitive therapy and sleep psycho-education with exercise on chronic insomnia: A randomised controlled trial. //Psychotherapy and Psychosomatics, 86//(4), 241-253. https://doi.org/10.1159/000470847
Garland, S.N., Carlson, L.E., Stephens, A.J., Antle, M.C., Samuels, C., & Campbell, T.S. (2014). Mindfulness-based stress reduction compared with cognitive behavioral therapy for the treatment of insomnia comorbid with cancer: A randomized, partially blinded, noninferiority trial. //Journal of Clinical Oncology, 32//(5), 449-457. https://doi.org/10.1200/JCO.2012.47.7265
Palagini, L., Ong, J.C., & Riemann, D. (2017). The mediating role of sleep-related metacognitive processes in trait and pre-sleep state hyperarousal in insomnia disorder. //Journal of Psychosomatic Research, 99//, 59-65. https://doi.org/10.1016/j.jpsychores.2017.03.001
Bei, B., Byrne, M.L., Ivens, C., Waloszek, J., Woods, M.J., Dudgeon, P., ... & Allen, N.B. (2013). Pilot study of a mindfulness-based, multi-component, in-school group sleep intervention in adolescent girls. //Early Intervention in Psychiatry, 7//(2), 213-220. https://doi.org/10.1111/j.1751-7893.2012.00382.x
Ong, J.C., Shapiro, S.L., & Manber, R. (2009). Mindfulness meditation and cognitive behavioral therapy for insomnia: A naturalistic 12-month follow-up. //Explore: The Journal of Science and Healing, 5//(1), 30-36. https://doi.org/10.1016/j.explore.2008.10.004
Ong, J.C., Manber, R., Segal, Z., Xia, Y.L., Shapiro, S., & Wyatt, J.K. (2014). A randomized controlled trial of mindfulness meditation for chronic insomnia. //Sleep, 37//(9), 1553-U186. https://doi.org/10.5665/sleep.4010
Gong, H., Ni, C.X., Liu, Y.Z., Zhang, Y., Su, W.J., Lian, Y.J., ... & Jiang, C.L. (2016). Mindfulness meditation for insomnia: A meta-analysis of randomized controlled trials. //Journal of Psychosomatic Research, 89//, 1-6. https://doi.org/10.1016/j.jpsychores.2016.07.016
Hsu, H.C., Tsao, L.I., & Lin, M.H. (2015). Improving sleep quality interventions among menopausal women with sleep disturbances in taiwan: A preliminary study. //Applied Nursing Research, 28//(4), 374-380. https://doi.org/10.1016/j.apnr.2015.01.004
Britton, W.B., Haynes, P.L., Fridel, K.W., & Bootzin, R.R. (2010). Polysomnographic and subjective profiles of sleep continuity before and after mindfulness-based cognitive therapy in partially remitted depression. //Psychosomatic Medicine, 72//(6), 539-548. https://doi.org/10.1097/PSY.0b013e3181dc1bad
Ong, J.C., Hedeker, D., Wyatt, J.K., & Manber, R. (2016). Examining the variability of sleep patterns during treatment for chronic insomnia: Application of a location-scale mixed model. //Journal of Clinical Sleep Medicine, 12//(6), NA-804. https://doi.org/10.5664/jcsm.5872
Hantsoo, L., Khou, C.S., White, C.N., & Ong, J.C. (2013). Gender and cognitive-emotional factors as predictors of pre-sleep arousal and trait hyperarousal in insomnia. //Journal of Psychosomatic Research, 74//(4), 283-289. https://doi.org/10.1016/j.jpsychores.2013.01.014
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2015). Mindfulness meditation and improvement in sleep quality and daytime impairment among older adults with sleep disturbances a randomized clinical trial. //JAMA Internal Medicine, 175//(4), 494-501. https://doi.org/10.1001/jamainternmed.2014.8081
Blake, M., Waloszek, J.M., Schwartz, O., Raniti, M., Simmons, J.G., Blake, L., ... & Allen, N.B. (2016). The sense study: Post intervention effects of a randomized controlled trial of a cognitive-behavioral and mindfulness-based group sleep improvement intervention among at-risk adolescents. //Journal of Consulting and Clinical Psychology, 84//(12), 1039-1051. https://doi.org/10.1037/ccp0000142
Hubbling, A., Reilly-Spong, M., Kreitzer, M.J., & Gross, C.R. (2014). How mindfulness changed my sleep: Focus groups with chronic insomnia patients. //BMC Complementary and Alternative Medicine, 14//50. https://doi.org/10.1186/1472-6882-14-50
Garland, S.N., Rouleau, C.R., Campbell, T., Samuels, C., & Carlson, L.E. (2015). The Comparative Impact of Mindfulness-Based Cancer Recovery (MBCR) and Cognitive Behavior Therapy for Insomnia (CBT-I) on Sleep and Mindfulness in Cancer Patients. //Explore: The Journal of Science and Healing, 11//(6), 445-454. https://doi.org/10.1016/j.explore.2015.08.004
Nakamura, Y., Lipschitz, D.L., Landward, R., Kuhn, R., & West, G. (2011). Two sessions of sleep-focused mind-body bridging improve self-reported symptoms of sleep and PTSD in veterans: A pilot randomized controlled trial. //Journal of Psychosomatic Research, 70//(4), 335-345. https://doi.org/10.1016/j.jpsychores.2010.09.007
Garcia, M.C., Pompeia, S., Hachul, H., Kozasa, E.H., de Souza, A.A.L., Tufik, S., ... & Mello, L.E.A.M. (2014). Is mindfulness associated with insomnia after menopause?. //Menopause: The Journal of the North American Menopause Society, 21//(3), 301-305. https://doi.org/10.1097/GME.0b013e31829996fc
Gross, C.R., Kreitzer, M.J., Reilly-Spong, M., Wall, M., Winbush, N.Y., Patterson, R., ... & Cramer-Bornemann, M. (2011). Mindfulness-Based Stress Reduction Versus Pharmacotherapy for Chronic Primary Insomnia: A Randomized Controlled Clinical Trial. //Explore: The Journal of Science and Healing, 7//(2), 76-87. https://doi.org/10.1016/j.explore.2010.12.003
Kanen, J.W., Nazir, R., Sedky, K., & Pradhan, B.K. (2015). The effects of mindfulness-based interventions on sleep disturbance: A meta-analysis. //Adolescent Psychiatry, 5//(2), 105-115. https://doi.org/10.2174/2210676605666150311222928
Ong, J.C., Shapiro, S.L., & Manber, R. (2008). Combining mindfulness meditation with cognitive-behavior therapy for insomnia: A treatment-development study. //Behavior Therapy, 39//(2), 171-182. https://doi.org/10.1016/j.beth.2007.07.002
Bogusch, L.M., Fekete, E.M., & Skinta, M.D. (2016). Anxiety and depressive symptoms as mediators of trait mindfulness and sleep quality in emerging adults. //Mindfulness, 7//(4), 962-970. https://doi.org/10.1007/s12671-016-0535-7
Gao, R., Lv, Y., Li, X.M., Zhou, K.N., Jin, X.M., Dang, S.N., ... & Li, N. (2014). Effects of comprehensive sleep management on sleep quality in university students in mainland china. //Sleep and Biological Rhythms, 12//(3), 194-202. https://doi.org/10.1111/sbr.12063
Rahimi, A., Ahmadpanah, M., Shamsaei, F., Cheraghi, F., Bahmani, D.S., Holsboer-Trachsler, E., ... & Brand, S. (2016). Effect of adjuvant sleep hygiene psychoeducation and lorazepam on depression and sleep quality in patients with major depressive disorders: Results from a randomized three-arm intervention. //Neuropsychiatric Disease and Treatment, 12//, 1507-NA. https://doi.org/10.2147/NDT.S110978
Britton, W.B., Haynes, P.L., Fridel, K.W., & Bootzin, R.R. (2012). Mindfulness-based cognitive therapy improves polysomnographic and subjective sleep profiles in antidepressant users with sleep complaints. //Psychotherapy and Psychosomatics, 81//(5), 296-304. https://doi.org/10.1159/000332755
Garland, S.N., Carlson, L.E., Antle, M.C., Samuels, C., & Campbell, T. (2011). I-can sleep: Rationale and design of a non-inferiority rct of mindfulness-based stress reduction and cognitive behavioral therapy for the treatment of insomnia in cancer survivors. //Contemporary Clinical Trials, 32//(5), 747-754. https://doi.org/10.1016/j.cct.2011.05.014
Nakamura, Y., Lipschitz, D.L., Kuhn, R., Kinney, A.Y., & Donaldson, G.W. (2013). Investigating efficacy of two brief mind-body intervention programs for managing sleep disturbance in cancer survivors: A pilot randomized controlled trial. //Journal of Cancer Survivorship, 7//(2), 165-182. https://doi.org/10.1007/s11764-012-0252-8
Ree, M., Junge, M., & Cunnington, D. (2017). Australasian sleep association position statement regarding the use of psychological/behavioral treatments in the management of insomnia in adults. //Sleep Medicine, 36//, S43-S47. https://doi.org/10.1016/j.sleep.2017.03.017
Garland, S.N., Johnson, J.A., Savard, J., Gehrman, P., Perlis, M., Carlson, L., ... & Campbell, T. (2014). Sleeping well with cancer: A systematic review of cognitive behavioral therapy for insomnia in cancer patients. //Neuropsychiatric Disease and Treatment, 10//, 1113-1124. https://doi.org/10.2147/NDT.S47790
Lichstein, K.L. (2017). Insomnia identity. //Behaviour Research and Therapy, 97//, 230-241. https://doi.org/10.1016/j.brat.2017.08.005
Espie, C.A., Barrie, L.M., & Forgan, G.S. (2012). Comparative Investigation of the Psychophysiologic and Idiopathic Insomnia Disorder Phenotypes: Psychologic Characteristics, Patients' Perspectives, and Implications for Clinical Management. //Sleep, 35//(3), 385-393. https://doi.org/10.5665/sleep.1702
Nakamura, Y., Lipschitz, D.L., Donaldson, G.W., Kida, Y., Williams, S.L., Landward, R., ... & Tuteja, A.K. (2017). Investigating clinical benefits of a novel sleep-focused mind-body program on gulf war illness symptoms: A randomized controlled trial. //Psychosomatic Medicine, 79//(6), 706-718. https://doi.org/10.1097/PSY.0000000000000469
Cincotta, A.L., Gehrman, P., Gooneratne, N.S., & Baime, M.J. (2011). The effects of a mindfulness-based stress reduction programme on pre-sleep cognitive arousal and insomnia symptoms: A pilot study. //Stress and Health, 27//(3), E299-E305. https://doi.org/10.1002/smi.1370
Carney, C.E., Harris, A.L., Moss, T.G., & Edinger, J.D. (2010). Distinguishing rumination from worry in clinical insomnia. //Behaviour Research and Therapy, 48//(6), 540-546. https://doi.org/10.1016/j.brat.2010.03.004
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Mind wandering, sleep quality, affect and chronotype: An exploratory study. //PLOS ONE, 9//(3). https://doi.org/10.1371/journal.pone.0091285
Adler, E., Dhruva, A., Moran, P.J., Daubenmier, J., Acree, M., Epel, E.S., ... & Hecht, F.M. (2017). Impact of a mindfulness-based weight-loss intervention on sleep quality among adults with obesity: Data from the shine randomized controlled trial. //Journal of Alternative and Complementary Medicine, 23//(3), 188-195. https://doi.org/10.1089/acm.2016.0141
Garland, S.N., Campbell, T., Samuels, C., & Carlson, L.E. (2013). Dispositional mindfulness, insomnia, sleep quality and dysfunctional sleep beliefs in post-treatment cancer patients. //Personality and Individual Differences, 55//(3), 306-311. https://doi.org/10.1016/j.paid.2013.03.003
Caldwell, K., Emery, L., Harrison, M., & Greeson, J. (2011). Changes in Mindfulness, Well-Being, and Sleep Quality in College Students Through Taijiquan Courses: A Cohort Control Study. //Journal of Alternative and Complementary Medicine, 17//(10), 931-938. https://doi.org/10.1089/acm.2010.0645
Kirwan, M., Pickett, S.M., & Jarrett, N.L. (2017). Emotion regulation as a moderator between anxiety symptoms and insomnia symptom severity. //Psychiatry Research, 254//, 40-47. https://doi.org/10.1016/j.psychres.2017.04.028
Ong, J.C., Ulmer, C.S., & Manber, R. (2012). Improving sleep with mindfulness and acceptance: A metacognitive model of insomnia. //Behaviour Research and Therapy, 50//(11), 651-660. https://doi.org/10.1016/j.brat.2012.08.001
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2014). Mindfulness-based intervention for prodromal sleep disturbances in older adults: Design and methodology of a randomized controlled trial. //Contemporary Clinical Trials, 39//(1), 22-27. https://doi.org/10.1016/j.cct.2014.06.013
Andersen, S.R., Wurtzen, H., Steding-Jessen, M., Christensen, J., Andersen, K.K., Flyger, H., ... & Dalton, S.O. (2013). Effect of mindfulness-based stress reduction on sleep quality: Results of a randomized trial among danish breast cancer patients. //Acta Oncologica, 52//(2), 336-344. https://doi.org/10.3109/0284186X.2012.745948
Pattanashetty, R., Sathiamma, S., Talakkad, S., Nityananda, P., Trichur, R., & Kutty, B.M. (2010). Practitioners of vipassana meditation exhibit enhanced slow wave sleep and REM sleep states across different age groups. //Sleep and Biological Rhythms, 8//(1), 34-41. https://doi.org/10.1111/j.1479-8425.2009.00416.x
Cvengros, J.A., Crawford, M.R., Manber, R., & Ong, J.C. (2015). The relationship between beliefs about sleep and adherence to behavioral treatment combined with meditation for insomnia. //Behavioral Sleep Medicine, 13//(1), 52-63. https://doi.org/10.1080/15402002.2013.838767
Whittingham, K., & Douglas, P. (2014). Optimizing parent-infant sleep from birth to 6 months: A new paradigm. //Infant Mental Health Journal, 35//(6), 614-623. https://doi.org/10.1002/imhj.21455
Valerio, T.D., Kim, M.J., & Sexton-Radek, K. (2016). Association of stress, general health, and alcohol use with poor sleep quality among u.s. college students. //American Journal of Health Education, 47//(1), 17-23. https://doi.org/10.1080/19325037.2015.1111173
Larouche, M., Lorrain, D., Cote, G., & Belisle, D. (2015). Evaluation of the effectiveness of mindfulness-based cognitive therapy to treat chronic insomnia. //European Review of Applied Psychology, 65//(3), 115-123. https://doi.org/10.1016/j.erap.2015.03.002
Hulsheger, U.R. (2016). From dawn till dusk: Shedding light on the recovery process by investigating daily change patterns in fatigue. //Journal of Applied Psychology, 101//(6), 905-914. https://doi.org/10.1037/apl0000104
Visser, P.L., Hirsch, J.K., Brown, K.W., Ryan, R., & Moynihan, J.A. (2015). Components of sleep quality as mediators of the relation between mindfulness and subjective vitality among older adults. //Mindfulness, 6//(4), 723-731. https://doi.org/10.1007/s12671-014-0311-5
Bootzin, R.R., & Epstein, D.R. (2011). Understanding and treating insomnia. //Annual Review of Clinical Psychology, 7//, 435-458. https://doi.org/10.1146/annurev.clinpsy.3.022806.091516
Pillai, V., Roth, T., Mullins, H.M., & Drake, C.L. (2014). Moderators and mediators of the relationship between stress and insomnia: Stressor chronicity, cognitive intrusion, and coping. //Sleep, 37//(7), 1199-+. https://doi.org/10.5665/sleep.3838
Crain, T.L., Schonert-Reichl, K.A., & Roeser, R.W. (2017). Cultivating teacher mindfulness: Effects of a randomized controlled trial on work, home, and sleep outcomes. //Journal of Occupational Health Psychology, 22//(2), 138-152. https://doi.org/10.1037/ocp0000043
Hulsheger, U.R., Feinholdt, A., & Nubold, A. (2015). A low-dose mindfulness intervention and recovery from work: Effects on psychological detachment, sleep quality, and sleep duration. //Journal of Occupational and Organizational Psychology, 88//(3), 464-489. https://doi.org/10.1111/joop.12115
Britton, W.B., Bootzin, R.R., Cousins, J.C., Hasler, B.P., Peck, T., & Shapiro, S.L. (2010). The contribution of mindfulness practice to a multicomponent behavioral sleep intervention following substance abuse treatment in adolescents: A treatment-development study. //Substance Abuse, 31//(2), 86-97. https://doi.org/10.1080/08897071003641297
Kato, T. (2016). Impact of psychological inflexibility on depressive symptoms and sleep difficulty in a Japanese sample. //SpringerPlus, 5//712. https://doi.org/10.1186/s40064-016-2393-0
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Donaldson, G.W., & Nakamura, Y. (2013). Reduction in salivary alpha-amylase levels following a mind-body intervention in cancer survivors - an exploratory study. //Psychoneuroendocrinology, 38//(9), 1521-1531. https://doi.org/10.1016/j.psyneuen.2012.12.021
Kemper, K.J., Mo, X.K., & Khayat, R. (2015). Are mindfulness and self-compassion associated with sleep and resilience in health professionals?. //Journal of Alternative and Complementary Medicine, 21//(8), 496-503. https://doi.org/10.1089/acm.2014.0281
Bootzin, R.R., & Stevens, S.J. (2005). Adolescents, substance abuse, and the treatment of insomnia and daytime sleepiness. //Clinical Psychology Review, 25//(5), 629-644. https://doi.org/10.1016/j.cpr.2005.04.007
Zhang, J.X., Liu, X.H., Xie, X.H., Zhao, D., Shan, M.S., Zhang, X.L., ... & Cui, H. (2015). Mindfulness-based stress reduction for chronic insomnia in adults older than 75 years: A randomized, controlled, single-blind clinical trial. //Explore: The Journal of Science and Healing, 11//(3), 180-185. https://doi.org/10.1016/j.explore.2015.02.005
Ong, J., & Sholtes, D. (2010). A mindfulness-based approach to the treatment of insomnia. //Journal of Clinical Psychology, 66//(11), 1175-1184. https://doi.org/10.1002/jclp.20736
Bablas, V., Yap, K., Cunnington, D., Swieca, J., & Greenwood, K.M. (2016). Mindfulness-based stress reduction for restless legs syndrome: A proof of concept trial. //Mindfulness, 7//(2), 396-408. https://doi.org/10.1007/s12671-015-0457-9
Lengacher, C.A., Reich, R.R., Paterson, C.L., Jim, H.S., Ramesar, S., Alinat, C.B., ... & Kip, K.E. (2015). The effects of mindfulness-based stress reduction on objective and subjective sleep parameters in women with breast cancer: A randomized controlled trial. //Psycho-Oncology, 24//(4), 424-432. https://doi.org/10.1002/pon.3603
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Grewen, K., Donaldson, G.W., & Nakamura, Y. (2015). An exploratory study of the effects of mind-body interventions targeting sleep on salivary oxytocin levels in cancer survivors. //Integrative Cancer Therapies, 14//(4), 366-380. https://doi.org/10.1177/1534735415580675
Campbell, R., Vansteenkiste, M., Delesie, L.M., Mariman, A.N., Soenens, B., Tobback, E., ... & Vogelaers, D.P. (2015). Examining the role of psychological need satisfaction in sleep: A self-determination theory perspective. //Personality and Individual Differences, 77//, 199-204. https://doi.org/10.1016/j.paid.2015.01.003
Nakamura, Y., Lipschitz, D.L., Kanarowski, E., McCormick, T., Sutherland, D., & Melow-Murchie, M. (2015). Investigating impacts of incorporating an adjuvant mind-body intervention method into treatment as usual at a community-based substance abuse treatment facility: A pilot randomized controlled study. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572489
Caldwell, K., Harrison, M., Adams, M., Quin, R.H., & Greeson, J. (2010). Developing mindfulness in college students through movement-based courses: Effects on self-regulatory self-efficacy, mood, stress, and sleep quality. //Journal of American College Health, 58//(5), 433-442. doi: 10.1080/07448480903540481
Howell, A.J., Digdon, N.L., Buro, K., & Sheptycki, A.R. (2008). Relations among mindfulness, well-being, and sleep. //Personality and Individual Differences, 45//(8), 773-777. https://doi.org/10.1016/j.paid.2008.08.005
Beddoe, A.E., Lee, K.A., Weiss, S.J., Kennedy, H.P., & Yang, C.P.P. (2010). Effects of mindful yoga on sleep in pregnant women: A pilot study. //Biological Research for Nursing, 11//(4), 363-370. https://doi.org/10.1177/1099800409356320
Blaes, A.H., Fenner, D., Bachanova, V., Torkelson, C., Geller, M., Haddad, T., ... & Kreitzer, M.J. (2016). Mindfulness-based cancer recovery in survivors recovering from chemotherapy and radiation. //Journal of Community and Supportive Oncology, 14//(8), 351-358. https://doi.org/10.12788/jcso.0244
Lunde, L.H., & Skjotskift, S. (2015). Combining mindfulness meditation with cognitive behavior therapy and medication taper for hypnotic-dependent insomnia in older adults: A case study. //Clinical Case Studies, 14//(4), 307-320. https://doi.org/10.1177/1534650114557566
Holmqvist, M., Vincent, N., & Walsh, K. (2014). Web- vs telehealth-based delivery of cognitive behavioral therapy for insomnia: A randomized controlled trial. //Sleep Medicine, 15//(2), 187-195. https://doi.org/10.1016/j.sleep.2013.10.013
[img[tps31.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Baldin, E., Hauser, W.A., Pack, A., & Hesdorffer, D.C. (2017). Stress is associated with an increased risk of recurrent seizures in adults. //Epilepsia, 58//(6), 1037-1046. https://doi.org/10.1111/epi.13741
Young, E.C., Brammer, C., Owen, E., Brown, N., Lowe, J., Johnson, C., ... & Smith, J.A. (2009). The effect of mindfulness meditation on cough reflex sensitivity. //Thorax, 64//(11), 993-998. https://doi.org/10.1136/thx.2009.116723
Michaelis, R., & Berger, B. (2017). Mindfulness-based therapy enhances quality of life in drug-resistant epilepsy. //Complementary Medicine Research, 24//(4), 210-213.
Carlson, P., & Perry, K.N. (2017). Psychological interventions for psychogenic non-epileptic seizures: A meta-analysis. //Seizure - European Journal of Epilepsy, 45//, 142-150. https://doi.org/10.1016/j.seizure.2016.12.007
Tang, V., Poon, W.S., & Kwan, P. (2015). Mindfulness-based therapy for drug-resistant epilepsy an assessor-blinded randomized trial. //Neurology, 85//(13). https://doi.org/10.1212/WNL.0000000000001967
Greenberg, J., Shapero, B.G., Mischoulon, D., & Lazar, S.W. (2017). Mindfulness-based cognitive therapy for depressed individuals improves suppression of irrelevant mental-sets. //European Archives of Psychiatry and Clinical Neuroscience, 267//(3), 277-282. https://doi.org/10.1007/s00406-016-0746-x
Hooper, N., Davies, N., Davies, L., & McHugh, L. (2011). Comparing thought suppression and mindfulness as coping techniques for spider fear. //Consciousness and Cognition, 20//(4), 1824-1830. https://doi.org/10.1016/j.concog.2011.05.013
Beblo, T., Fernando, S., Klocke, S., Griepenstroh, J., Aschenbrenner, S., & Driessen, M. (2012). Increased suppression of negative and positive emotions in major depression. //Journal of Affective Disorders, 141//(42769), 474-479. https://doi.org/10.1016/j.jad.2012.03.019
Lappalainen, P., Langrial, S., Oinas-Kukkonen, H., Tolvanen, A., & Lappalainen, R. (2015). Web-based acceptance and commitment therapy for depressive symptoms with minimal support: A randomized controlled trial. //Behavior Modification, 39//(6), 805-NA. https://doi.org/10.1177/0145445515598142
Michaelis, R., Niedermann, C., & Berger, B. (2017). How can we enhance the sense of self-efficacy in epilepsy? individual responses from 2 qualitative case reports. //Complementary Medicine Research, 24//(4), 215-224. https://doi.org/10.1159/000468986
Akin, A. (2012). Self-compassion and automatic thoughts. //Hacettepe Universitesi Egitim Fakultesi Dergisi-hacettepe University Journal of Education, NA//(42), 1-10.
Baslet, G., Dworetzky, B., Perez, D.L., & Oser, M. (2015). Treatment of psychogenic nonepileptic seizures: Updated review and findings from a mindfulness-based intervention case series. //Clinical Eeg and Neuroscience, 46//(1), 54-64. https://doi.org/10.1177/1550059414557025
Hepburn, S.R., Crane, C., Barnhofer, T., Duggan, D.S., Fennell, M.J.V., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy may reduce thought suppression in previously suicidal participants: Findings from a preliminary study. //British Journal of Clinical Psychology, 48//, 209-215. https://doi.org/10.1348/014466509X414970
Ostafin, B.D., & Marlatt, G.A. (2008). Surfing the urge: Experiential acceptance moderates the relation between automatic alcohol motivation and hazardous drinking. //Journal of Social and Clinical Psychology, 27//(4), 404-418. https://doi.org/10.1521/jscp.2008.27.4.404
Lifshitz, M., Bonn, N.A., Fischer, A., Kashem, I.F., & Raz, A. (2013). Using suggestion to modulate automatic processes: From Stroop to McGurk and beyond. //Cortex, 49//(2), 463-473. https://doi.org/10.1016/j.cortex.2012.08.007
Pat-Horenczyk, R., Shi, C.S.W., Schramm-Yavin, S., Bar-Halpern, M., & Tan, L.J. (2015). Building emotion and affect regulation (bear): Preliminary evidence from an open trial in children's residential group homes in Singapore. //Child & Youth Care Forum, 44//(2), 175-190. https://doi.org/10.1007/s10566-014-9276-8
Wegner, D.M. (2011). Setting free the bears: Escape from thought suppression. //American Psychologist, 66//(8), 671-680.
Erskine, J.A.K., Ussher, M., Cropley, M., Elgindi, A., Zaman, M., & Corlett, B. (2012). Effect of thought suppression on desire to smoke and tobacco withdrawal symptoms. //Psychopharmacology, 219//(1), 205-211. https://doi.org/10.1007/s00213-011-2391-4
Thompson, N.J., Patel, A.H., Selwa, L.M., Stoll, S.C., Begley, C.E., Johnson, E.K., ... & Fraser, R.T. (2015). Expanding the efficacy of project uplift: Distance delivery of mindfulness-based depression prevention to people with epilepsy. //Journal of Consulting and Clinical Psychology, 83//(2), 304-313. https://doi.org/10.1037/a0038404
Erskine, J.A.K., Rawaf, D., Grice, S., & Ussher, M. (2015). Effect of suppressing thoughts of desire to smoke on ratings of desire to smoke and tobacco withdrawal symptoms. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572488
Moss, A.C., Erskine, J.A.K., Albery, I.P., Allen, J.R., & Georgiou, G.J. (2015). To suppress, or not to suppress? that is repression: Controlling intrusive thoughts in addictive behaviour. //Addictive Behaviors, 44//, 65-70. https://doi.org/10.1016/j.addbeh.2015.01.029
Garland, E.L., & Roberts-Lewis, A. (2013). Differential roles of thought suppression and dispositional mindfulness in posttraumatic stress symptoms and craving. //Addictive Behaviors, 38//(2), 1555-1562. https://doi.org/10.1016/j.addbeh.2012.02.004
Rasanen, P., Lappalainen, P., Muotka, J., Tolvanen, A., & Lappalainen, R. (2016). An online guided act intervention for enhancing the psychological wellbeing of university students: A randomized controlled clinical trial. //Behaviour Research and Therapy, 78//, 30-42. https://doi.org/10.1016/j.brat.2016.01.001
Isbel, B., & Mahar, D. (2015). Cognitive mechanisms of mindfulness: A test of current models. //Consciousness and Cognition, 38//, 50-59. https://doi.org/10.1016/j.concog.2015.10.005
Bullis, J.R., Boe, H.J., Asnaani, A., & Hofmann, S.G. (2014). The benefits of being mindful: Trait mindfulness predicts less stress reactivity to suppression. //Journal of Behavior Therapy and Experimental Psychiatry, 45//(1), 57-66. https://doi.org/10.1016/j.jbtep.2013.07.006
Beblo, T., Fernando, S., Kamper, P., Griepenstroh, J., Aschenbrenner, S., Pastuszak, A., ... & Driessen, M. (2013). Increased attempts to suppress negative and positive emotions in borderline personality disorder. //Psychiatry Research, 210//(2), 505-509. https://doi.org/10.1016/j.psychres.2013.06.036
Farris, S.R., Ostafin, B.D., & Palfai, T.P. (2010). Distractibility moderates the relation between automatic alcohol motivation and drinking behavior. //Psychology of Addictive Behaviors, 24//(1), 151-156. https://doi.org/10.1037/a0018294
Welch, S.S., & Kim, J. (2012). DBT-Enhanced Cognitive Behavioral Therapy for Adolescent Trichotillomania: An Adolescent Case Study. //Cognitive and Behavioral Practice, 19//(3), 483-493. https://doi.org/10.1016/j.cbpra.2011.11.002
Yen, P.Y., Jia, H.M., Currie, L.M., & Bakken, S. (2009). Comparison of two user interfaces for accessing context-specific information resources related to hazards and near misses. //CIN: Computers Informatics Nursing, 27//(2), 99-104.
MacDonald, H.Z., & Baxter, E.E. (2017). Mediators of the relationship between dispositional mindfulness and psychological well-being in female college students. //Mindfulness, 8//(2), 398-407. https://doi.org/10.1007/s12671-016-0611-z
Ostafin, B.D., Bauer, C., & Myxter, P. (2012). Mindfulness decouples the relation between automatic alcohol motivation and heavy drinking. //Journal of Social and Clinical Psychology, 31//(7), 729-745.
Bakker, G.M. (2009). In defence of thought stopping. //Clinical Psychologist, 13//(2), 59-68. https://doi.org/10.1080/13284200902810452
Lindsay, S. (2014).Can hyper-synchrony in meditation lead to seizures? Similarities in meditative and epileptic brain states. //Medical Hypotheses, 83//(4), 465-472. https://doi.org/10.1016/j.mehy.2014.07.015
Braams, B.R., Blechert, J., Boden, M.T., & Gross, J.J. (2012). The effects of acceptance and suppression on anticipation and receipt of painful stimulation. //Journal of Behavior Therapy and Experimental Psychiatry, 43//(4), 1014-1018. https://doi.org/10.1016/j.jbtep.2012.04.001
Rogojanski, J., Vettese, L.C., & Antony, M.M. (2011). Role of sensitivity to anxiety symptoms in responsiveness to mindfulness versus suppression strategies for coping with smoking cravings. //Journal of Clinical Psychology, 67//(4), 439-445. https://doi.org/10.1002/jclp.20774
Currie, L.M., Desjardins, K.S., Levine, E., Stone, P.W., Schnall, R., Li, J.H., ... & Bakken, S. (2009). Web-based hazard and near-miss reporting as part of a patient safety curriculum. //Journal of Nursing Education, 48//(12), 669-677. https://doi.org/10.3928/01484834-20091113-03
Bayer, J.B., & Campbell, S.W. (2012). Texting while driving on automatic: Considering the frequency-independent side of habit. //Computers in Human Behavior, 28//(6), 2083-2090. https://doi.org/10.1016/j.chb.2012.06.012
Barnes, R.D., & Tantleff-Dunn, S. (2010). Food for thought: Examining the relationship between food thought suppression and weight-related outcomes. //Eating Behaviors, 11//(3), 175-179. https://doi.org/10.1016/j.eatbeh.2010.03.001
Keng, S.L., Tan, E.L.Y., Eisenlohr-Moul, T.A., & Smoski, M.J. (2017). Effects of mindfulness, reappraisal, and suppression on sad mood and cognitive resources. //Behaviour Research and Therapy, 91//, 33-42. https://doi.org/10.1016/j.brat.2017.01.006
Erskine, J.A.K., Georgiou, G.J., Joshi, M., Deans, A., & Colegate, C. (2017). Ageing and thought suppression performance: Its relationship with working memory capacity, habitual thought suppression and mindfulness. //Consciousness and Cognition, 53//, 211-221. https://doi.org/10.1016/j.concog.2017.06.019
Lavender, J.M., Jardin, B.F., & Anderson, D.A. (2009). Bulimic symptoms in undergraduate men and women: Contributions of mindfulness and thought suppression. //Eating Behaviors, 10//(4), 228-231. https://doi.org/10.1016/j.eatbeh.2009.07.002
Hesser, H., Molander, P., Jungermann, M., & Andersson, G. (2013). Costs of suppressing emotional sound and countereffects of a mindfulness induction: An experimental analog of tinnitus impact. //PLOS ONE, 8//(5). https://doi.org/10.1371/journal.pone.0064540
Riley, B. (2014). Experiential avoidance mediates the association between thought suppression and mindfulness with problem gambling. //Journal of Gambling Studies, 30//(1), 163-171. https://doi.org/10.1007/s10899-012-9342-9
Barnes, R.D., & Tantleff-Dunn, S. (2010). A preliminary investigation of sex differences and the mediational role of food thought suppression in the relationship between stress and weight cycling. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 15//(4), E265-E269.
Djikic, M., Langer, E.J., & Stapleton, S.F. (2008). Reducing stereotyping through mindfulness: Effects on automatic stereotype-activated behaviors. //Journal of Adult Development, 15//(2), 106-111. https://doi.org/10.1007/s10804-008-9040-0
Murakami, H., Katsunuma, R., Oba, K., Terasawa, Y., Motomura, Y., Mishima, K., ... & Moriguchi, Y. (2015). Neural networks for mindfulness and emotion suppression. //PLOS ONE, 10//(6). https://doi.org/10.1371/journal.pone.0128005
Levesque, C., Copeland, K.J., & Sutcliffe, R.A. (2008). Conscious and nonconscious processes: Implications for self-determination theory. //Canadian Psychology-psychologie Canadienne, 49//(3), 218-224. https://doi.org/10.1037/a0012756
Jones, S.M., Bodie, G.D., & Koerner, A.F. (2017). Connections between family communication patterns, person-centered message evaluations, and emotion regulation strategies. //Human Communication Research, 43//(2), 237-255. https://doi.org/10.1111/hcre.12103
Wolgast, M., Lundh, L.G., & Viborg, G. (2013). Experiential avoidance as an emotion regulatory function: An empirical analysis of experiential avoidance in relation to behavioral avoidance, cognitive reappraisal, and response suppression. //Cognitive Behaviour Therapy, 42//(3), 224-232. https://doi.org/10.1080/16506073.2013.773059
Frewen, P.A., Evans, E.M., Maraj, N., Dozois, D.J.A., & Partridge, K. (2008). Letting go: Mindfulness and negative automatic thinking. //Cognitive Therapy and Research, 32//(6), 758-774. https://doi.org/10.1007/s10608-007-9142-1
Senay, I., Cetinkaya, M., & Usak, M. (2012). Accepting test-anxiety-related thoughts increases academic performance among undergraduate students. //Psihologija, 45//(4), 417-432. https://doi.org/10.2298/PSI1204417S
Brockman, R., Ciarrochi, J., Parker, P., & Kashdan, T. (2017). Emotion regulation strategies in daily life: Mindfulness, cognitive reappraisal and emotion suppression. //Cognitive Behaviour Therapy, 46//(2), 91-113. https://doi.org/10.1080/16506073.2016.1218926
Bowen, S., Witkiewitz, K., Dillworth, T.M., & Marlatt, G.A. (2007). The role of thought suppression in the relationship between mindfulness meditation and alcohol use. //Addictive Behaviors, 32//(10), 2324-2328. https://doi.org/10.1016/j.addbeh.2007.01.025
Garland, E.L., Boettiger, C.A., & Howard, M.O. (2011). Targeting cognitive-affective risk mechanisms in stress-precipitated alcohol dependence: An integrated, biopsychosocial model of automaticity, allostasis, and addiction. //Medical Hypotheses, 76//(5), 745-754. https://doi.org/10.1016/j.mehy.2011.02.014
Bayer, J.B., Dal Cin, S., Campbell, S.W., & Panek, E. (2016). Consciousness and self-regulation in mobile communication. //Human Communication Research, 42//(1), 71-97. https://doi.org/10.1111/hcre.12067
Ostafin, B.D., Kassman, K.T., & Wessel, I. (2013). Breaking the cycle of desire: Mindfulness and executive control weaken the relation between an implicit measure of alcohol valence and preoccupation with alcohol-related thoughts. //Psychology of Addictive Behaviors, 27//(4), 1153-1158. https://doi.org/10.1037/a0032621
Nitzan-Assayag, Y., Yuval, K., Tanay, G., Aderka, I.M., Vujanovic, A.A., Litz, B., ... & Bernstein, A. (2017). Reduced reactivity to and suppression of thoughts mediate the effects of mindfulness training on recovery outcomes following exposure to potentially traumatic stress. //Mindfulness, 8//(4), 920-932. https://doi.org/10.1007/s12671-016-0666-x
Jazaieri, H., Goldin, P.R., & Gross, J.J. (2017). Treating Social Anxiety Disorder with CBT: Impact on Emotion Regulation and Satisfaction with Life. //Cognitive Therapy and Research, 41//(3), 406-416. https://doi.org/10.1007/s10608-016-9762-4
May, J., Andrade, J., Batey, H., Berry, L.M., & Kavanagh, D.J. (2010). Less food for thought. Impact of attentional instructions on intrusive thoughts about snack foods. //Appetite, 55//(2), 279-287. https://doi.org/10.1016/j.appet.2010.06.014
Lalot, F., Delplanque, S., & Sander, D. (2014). Mindful regulation of positive emotions: A comparison with reappraisal and expressive suppression. //Frontiers in Psychology, 5//,243. https://doi.org/10.3389/fpsyg.2014.00243
[img[tps32.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Wada, K., & Park, J. (2009). Integrating Buddhist psychology into grief counseling. //Death Studies, 33//(7), 657-683. https://doi.org/10.1080/07481180903012006
Lee, K.C., Oh, A., Zhao, Q.R., Wu, F.Y., Chen, S.Y., Diaz, T., ... & Ong, C.K. (2017). Buddhist counseling: Implications for mental health professionals. //Spirituality in Clinical Practice, 4//(2), 113-128. https://doi.org/10.1037/scp0000124
Hayes, S.C., Bissett, R., Roget, N., Padilla, M., Kohlenberg, B.S., Fisher, G., ... & Niccolls, R. (2004). The impact of acceptance and commitment training and multicultural training on the stigmatizing attitudes and professional burnout of substance abuse counselors. //Behavior Therapy, 35//(4), 821-835. https://doi.org/10.1016/S0005-7894(04)80022-4
Verma, G., & Araya, R. (2010). The effect of meditation on psychological distress among Buddhist monks and nuns. //International Journal of Psychiatry in Medicine, 40//(4), 461-468. https://doi.org/10.2190/PM.40.4.h
de Zoysa, P. (2011). The use of Buddhist mindfulness meditation in psychotherapy: A case report from Sri Lanka. //Transcultural Psychiatry, 48//(5), 675-683. https://doi.org/10.1177/1363461511418394
Lomas, T. (2017). Recontextualizing mindfulness: Theravada Buddhist perspectives on the ethical and spiritual dimensions of awareness. //Psychology of Religion and Spirituality, 9//(2), 209-219. https://doi.org/10.1037/rel0000080
Chan, K.K.S., & Mak, W.W.S. (2017). The content and process of self-stigma in people with mental illness. //American Journal of Orthopsychiatry, 87//(1), 34-43. https://doi.org/10.1037/ort0000127
Burnett, R. (2011). Mindfulness in schools: Learning lessons from the adults, secular and Buddhist. //Buddhist Studies Review, 28//(1), 79-120. https://doi.org/10.1558/bsrv.v28i1.79
Rungreangkulkij, S., & Wongtakee, W. (2008). The psychological impact of Buddhist counseling for patients suffering from symptoms of anxiety. //Archives of Psychiatric Nursing, 22//(3), 127-134. https://doi.org/10.1016/j.apnu.2007.07.004
Sharf, R. (2014). Mindfulness and mindlessness in early chan. //Philosophy East & West, 64//(4), 933-964. http://dx.doi.org/10.1353/pew.2014.0074
Ivers, N.N., Johnson, D.A., Clarke, P.B., Newsome, D.W., & Berry, R.A. (2016). The relationship between mindfulness and multicultural counseling competence. //Journal of Counseling and Development, 94//(1), 72-82. https://doi.org/10.1002/jcad.12063
Feichtinger, C. (2014). Space Buddhism: The adoption of Buddhist motifs in star wars. //Contemporary Buddhism, 15//(1), 28-43. https://doi.org/10.1080/14639947.2014.890348
Sharf, R.H. (2015). Is mindfulness Buddhist? (and why it matters). //Transcultural Psychiatry, 52//(4), 470-484. https://doi.org/10.1177/1363461514557561
Ditrich, T. (2016). Situating the concept of mindfulness in the Theravada tradition. //Asian Studies-azijske Studije, 4//(2), 13-33. https://doi.org/10.4312/as.2016.4.2.13-33
Rutledge, S.E., Whyte, J., Abell, N., Brown, K.M., & Cesnales, N.I. (2011). Measuring stigma among health care and social service providers: The HIV/AIDS provider stigma inventory. //AIDS Patient Care and STDs, 25//(11), 673-682. https://doi.org/10.1089/apc.2011.0008
Wei, M.F., Tsai, P.C., Lannin, D.G., Du, Y., & Tucker, J.R. (2015). Mindfulness, psychological flexibility, and counseling self-efficacy: Hindering self-focused attention as a mediator. //Counseling Psychologist, 43//(1), 39-63. https://doi.org/10.1177/0011000014560173
Nickerson, A., & Hinton, D.E. (2011). Anger regulation in traumatized Cambodian refugees: The perspectives of Buddhist monks. //Culture, Medicine and Psychiatry, 35//(3), 396-416. https://doi.org/10.1007/s11013-011-9218-y
Abell, N., Rutledge, S.E., Mccann, T.J., & Padmore, J. (2007). Examining HIV/AIDS provider stigma: Assessing regional concerns in the islands of the Eastern Caribbean. //AIDS Care-psychological and Socio-medical Aspects of AIDS/HIV, 19//(2), 242-247. https://doi.org/10.1080/09540120600774297
Helderman, I.P. (2016). Drawing the boundaries between "religion" and "secular" in psychotherapists' approaches to Buddhist traditions in the united states. //Journal of the American Academy of Religion, 84//(4), 937-972. https://doi.org/10.1093/jaarel/lfw003
Rutledge, S.E., & Abell, N. (2005). Awareness, acceptance, and action: An emerging framework for understanding AIDS stigmatizing attitudes among community leaders in Barbados. //AIDS Patient Care and STDs, 19//(3), 186-199. https://doi.org/10.1089/apc.2005.19.186
Szczygiel, P. (2016). Maneuvering difficult emotional terrain in psychotherapy: A Buddhist-informed conceptual framework. //Clinical Social Work Journal, 44//(3), 241-251. https://doi.org/10.1007/s10615-015-0570-1
Wijesinghe, S., & Parshall, M.B. (2016). Impermanence and sense of coherence: Lessons learned from the adaptive behaviors of Sri Lankan Buddhist nuns with a chronic illness. //Journal of Transcultural Nursing, 27//(2), 157-165. https://doi.org/10.1177/1043659614545402
Phillips, R.E., Cheng, C.M., Oemig, C., Hietbrink, L., & Vonnegut, E. (2012). Validation of a Buddhist coping measure among primarily non‐Asian Buddhists in the United States//Journal for the Scientific Study of Religion, 51//(1), 156-172. https://doi.org/10.1111/j.1468-5906.2012.01620.x
Rosker, J.S. (2016). Mindfulness and its absence – The development of the term mindfulness and the meditation techniques connected to it from Daoist classics to the sinicized Buddhism of the Chan school. //Asian Studies-azijske Studije, 4//(2), 35-56. https://doi.org/10.4312/as.2016.4.2.35-56
Falb, M.D., & Pargament, K.I. (2013). Buddhist coping predicts psychological outcomes among end-of-life caregivers. //Psychology of Religion and Spirituality, 5//(4), 252-262. https://doi.org/10.1037/a0032653
de Zoysa, P. (2013). The use of mindfulness practice in the treatment of a case of obsessive compulsive disorder in Sri Lanka. //Journal of Religion & Health, 52//(1), 299-306. https://doi.org/10.1007/s10943-011-9461-0
Dunne, J. (2011). Toward an understanding of non-dual mindfulness. //Contemporary Buddhism, 12//(1), 71-88. https://doi.org/10.1080/14639947.2011.564820
Bowen, S., Bergman, A.L., & Witkiewitz, K. (2015). Engagement in Buddhist meditation practices among non-Buddhists: Associations with religious identity and practice. //Mindfulness, 6//(6). 1456-1461. https://doi.org/10.1007/s12671-015-0420-9
Kudesia, R.S., & Nyima, V.T. (2015). Mindfulness contextualized: An integration of Buddhist and neuropsychological approaches to cognition. //Mindfulness, 6//(4). 910-925. https://doi.org/10.1007/s12671-014-0337-8
Marx, R. (2015). Accessibility versus integrity in secular mindfulness: A Buddhist commentary. //Mindfulness, 6//(5), 1153-1160. https://doi.org/10.1007/s12671-014-0366-3
Maex, E. (2011). The Buddhist roots of mindfulness training: A practitioners view. //Contemporary Buddhism, 12//(1), 165-175. https://doi.org/10.1080/14639947.2011.564835
Ditrich, T. (2016). Buddhism between Asia and Europe: The concept of mindfulness through a historical lens. //Asian Studies-azijske Studije, 4//(1), 197-213. https://doi.org/10.4312/as.2016.4.1.197-213
Yang, X., & Mak, W.W.S. (2017). The differential moderating roles of self-compassion and mindfulness in self-stigma and well-being among people living with mental illness or HIV. //Mindfulness, 8//(3), 595-602. https://doi.org/10.1007/s12671-016-0635-4
Samuel, G. (2014). Between Buddhism and science, between mind and body. //Religions, 5//(3), 560-579. https://doi.org/10.3390/rel5030560
Wallace, B.A. (2001). Intersubjectivity in indo-tibetan Buddhism. //Journal of Consciousness Studies, 8//(5-7), 209-230.
Levin, M.E., Pistorello, J., Hayes, S.C., Seeley, J.R., & Levin, C. (2015). Feasibility of an acceptance and commitment therapy adjunctive web-based program for counseling centers. //Journal of Counseling Psychology, 62//(3), 529-536. https://doi.org/10.1037/cou0000083
Moore, M.J. (2016). Buddhism, mindfulness, and transformative politics. //New Political Science, 38//(2), 272-282. https://doi.org/10.1080/07393148.2016.1153195
Hilbert, A., Braehler, E., Schmidt, R., Lowe, B., Hauser, W., & Zenger, M. (2015). Self-compassion as a resource in the self-stigma process of overweight and obese individuals. //Obesity Facts, 8//(5), 293-301. https://doi.org/10.1159/000438681
Panaioti, A. (2015). Mindfulness and personal identity in the western cultural context: A plea for greater cosmopolitanism. //Transcultural Psychiatry, 52//(4), 501-523. https://doi.org/10.1177/1363461515573106
Wiist, W.H., Sullivan, B.M., Wayment, H.A., & Warren, M. (2010). A web-based survey of the relationship between Buddhist religious practices, health, and psychological characteristics: Research methods and preliminary results. //Journal of Religion & Health, 49//(1), 18-31. https://doi.org/10.1007/s10943-008-9228-4
Hoare, P.N., McIlveen, P., & Hamilton, N. (2012). Acceptance and commitment therapy (ACT) as a career counselling strategy. //International Journal for Educational and Vocational Guidance, 12//(3), 171-187. https://doi.org/10.1007/s10775-012-9224-9
O'Brien, K.S., Latner, J.D., Puhl, R.M., Vartanian, L.R., Giles, C., Griva, K., ... & Carter, A. (2016). The relationship between weight stigma and eating behavior is explained by weight bias internalization and psychological distress. //Appetite, 102//, 70-76. https://doi.org/10.1016/j.appet.2016.02.032
Gonzalez, A., Locicero, B., Mahaffey, B., Fleming, C., Harris, J., & Vujanovic, A.A. (2016). Internalized HIV stigma and mindfulness: Associations with PTSD symptom severity in trauma-exposed adults with HIV/AIDS. //Behavior modification, 40//(1-2), 144-163. https://doi.org/10.1177/0145445515615354
Zeng, X.L., Wei, J., Oei, T.P.S., & Liu, X.P. (2016). The self-compassion scale is not validated in a Buddhist sample. //Journal of Religion & Health, 55//(6), 1996-2009. https://doi.org/10.1007/s10943-016-0205-z
Shonin, E., Van Gordon, W., & Griffiths, M.D. (2014). The emerging role of Buddhism in clinical psychology: Toward effective integration. //Psychology of Religion and Spirituality, 6//(2), 123-137. https://doi.org/10.1037/a0035859
Chadha, M. (2015). A Buddhist epistemological framework for mindfulness meditation. //Asian Philosophy, 25//(1), 65-80. https://doi.org/10.1080/09552367.2015.1012802
Kato, H. (2016). The relationship between the psychology of religion and Buddhist psychology. //Japanese Psychological Research, 58//, 70-84. https://doi.org/10.1111/jpr.12121
de Zoysa, P. (2016). When east meets west: Reflections on the use of Buddhist mindfulness practice in mindfulness-based interventions. //Mental Health Religion & Culture, 19//(4), 362-370. https://doi.org/10.1080/13674676.2016.1200542
Wang, C.L. (2017). No-self, natural sustainability and education for sustainable development. //Educational Philosophy and Theory, 49//(5), 550-561. https://doi.org/10.1080/00131857.2016.1217189
Fung, K. (2015). Acceptance and commitment therapy: Western adoption of Buddhist tenets?. //Transcultural Psychiatry, 52//(4), 561-576. https://doi.org/10.1177/1363461514537544
Groves, P. (2014). Buddhist approaches to addiction recovery. //Religions, 5//(4), 985-1000. https://doi.org/10.3390/rel5040985
Sun, J. (2014). Mindfulness in context: A historical discourse analysis. //Contemporary Buddhism, 15//(2), 394-415. https://doi.org/10.1080/14639947.2014.978088
Chan, K.K.S., & Lam, C.B. (2017). Trait mindfulness attenuates the adverse psychological impact of stigma on parents of children with autism spectrum disorder. //Mindfulness, 8//(4), 984-994. https://doi.org/10.1007/s12671-016-0675-9
Masuda, A., Hayes, S.C., Fletcher, L.B., Seignourel, P.J., Bunting, K., Herbst, S.A., ... & Lillis, J. (2007). Impact of acceptance and commitment therapy versus education on stigma toward people with psychological disorders. //Behaviour Research and Therapy, 45//(11), 2764-2772. https://doi.org/10.1016/j.brat.2007.05.008
Kim, J. (2016). Effects of Buddhist ontology focused (BOF) meditation: Pilot study with mothers of children with developmental disabilities on their EEG and psychological well-beings. //Asia Pacific Journal of Counselling and Psychotherapy, 7//(42737), 82-100. https://doi.org/10.1080/21507686.2016.1213756
Sowattanangoon, N., Kochabhakdi, N., & Petrie, K.J. (2008). Buddhist values are associated with better diabetes control in Thai patients. //International Journal of Psychiatry in Medicine, 38//(4), 481-491. https://doi.org/10.2190/PM.38.4.g
AnAlayo, B. (2016). Early Buddhist mindfulness and memory, the body, and pain. //Mindfulness, 7//(6), 1271-1280. https://doi.org/10.1007/s12671-016-0573-1
Lindahl, J.R., Kaplan, C.T., Winget, E.M., & Britton, W.B. (2014). A phenomenology of meditation-induced light experiences: Traditional Buddhist and neurobiological perspectives. //Frontiers in Psychology, 4//, 973. https://doi.org/10.3389/fpsyg.2013.00973
Crosby, K., Skilton, A., & Gunasena, A. (2012). The Sutta on understanding death in the transmission of Borān meditation from Siam to the Kandyan court. //Journal of Indian Philosophy, 40//(2), 177-198. https://doi.org/10.1007/s10781-011-9151-y
Thanissaro, P.N., & Kulupana, S. (2015). Buddhist teen worldview: Some normative background for health professionals. //Contemporary Buddhism, 16//(1), 28-42. https://doi.org/10.1080/14639947.2015.1006801
West, W. (2002). Some ethical dilemmas in counselling and counselling research. //British Journal of Guidance & Counselling, 30//(3), 261-268. https://doi.org/10.1080/0306988021000002308
Gilpin, R. (2008). The use of Theravada Buddhist practices and perspectives in mindfulness-based cognitive therapy. //Contemporary Buddhism, 9//(2), 227-251. https://doi.org/10.1080/14639940802556560
Virtbauer, G. (2016). Presencing process: Embodiment and healing in the Buddhist practice of mindfulness of breathing. //Mental Health Religion & Culture, 19//(1), 68-81. https://doi.org/10.1080/13674676.2015.1115474
Forbes, D. (2016). Modes of mindfulness: Prophetic critique and integral emergence. //Mindfulness, 7//(6), 1256-1270. https://doi.org/10.1007/s12671-016-0552-6
Andersen, D.T. (2005). Empathy, psychotherapy integration, and meditation: A Buddhist contribution to the common factors movement. //Journal of Humanistic Psychology, 45//(4), 483-502. https://doi.org/10.1177/0022167805280264
Jung, K. (2014). Liberating zen: A christian experience. //Journal of Korean Religions, 5//(1), 35-50.
de Silva, P. (2011). Thinking and feeling: A Buddhist perspective. //Sophia, 50//(2), 253-263. https://doi.org/10.1007/s11841-011-0248-2
Compson, J. (2014). Meditation, trauma and suffering in silence: Raising questions about how meditation is taught and practiced in western contexts in the light of a contemporary trauma resiliency model. //Contemporary Buddhism, 15//(2), 274-297. https://doi.org/10.1080/14639947.2014.935264
Tapanya, S., Nicki, R., & Jarusawad, O. (1997). Worry and intrinsic/extrinsic religious orientation among Buddhist (Thai) and Christian (Canadian) elderly persons. //International Journal of Aging & Human Development, 44//(1), 73-83. https://doi.org/10.2190/ENQG-HNV4-5G0D-CQ88
Chambers, S.K., Morris, B.A., Clutton, S., Foley, E., Giles, L., Schofield, P., ... & Dunn, J. (2015). Psychological wellness and health-related stigma: A pilot study of an acceptance-focused cognitive behavioural intervention for people with lung cancer. //European Journal of Cancer care, 24//(1), 60-70. https://doi.org/10.1111/ecc.12221
Nilsson, H., & Kazemi, A. (2016). From Buddhist sati to western mindfulness practice: A contextual analysis. //Journal of Religion and Spirituality in Social Work, 35//(42737), 7-23. https://doi.org/10.1080/15426432.2015.1067582
Phillips, R.E., Cheng, C.M., Pargament, K.I., University, C.O.G.S., Colvin, S.D., Abarr, A.N., ... & Reed, A.S. (2009). Spiritual coping in American Buddhists: An exploratory study. //International Journal for the Psychology of Religion, 19//(4), 231-243. https://doi.org/10.1080/10508610903143263
Salguero, C.P. (2015). Toward a global history of Buddhism and medicine. //Buddhist Studies Review, 32//(1), 35-61. https://doi.org/10.1558/bsrv.v32i1.26984
Manek, N.J. (2012). Symmetry states of the physical space: An expanded reference frame for understanding human consciousness. //Journal of Alternative and Complementary Medicine, 18//(1), 83-92. https://doi.org/10.1089/acm.2011.0604
Bodhi, B. (2011). What does mindfulness really mean? A canonical perspective. //Contemporary Buddhism, 12//(1), 19-39. https://doi.org/10.1080/14639947.2011.564813
Leong, F.T.L. (1996). Toward an integrative model for cross-cultural counseling and psychotherapy. //Applied & Preventive Psychology, 5//(4), 189-209. https://doi.org/10.1016/S0962-1849(96)80012-6
Christopher, M.S., Woodrich, L.E., & Tiernan, K.A. (2014). Using cognitive interviews to assess the cultural validity of state and trait measures of mindfulness among Zen Buddhists. //Mindfulness, 5//(2), 145-160. https://doi.org/10.1007/s12671-012-0160-z
Kordes, U., & Markic, O. (2016). Parallels between mindfulness and first-person research into consciousness. //Asian Studies-azijske Studije, 4//(2), 153-168. https://doi.org/10.4312/as.2016.4.2.153-168
Hyland, T. (2015). Mcmindfulness in the workplace: Vocational learning and the commodification of the present moment. //Journal of Vocational Education and Training, 67//(2), 219-234. https://doi.org/10.1080/13636820.2015.1022871
Stanley, S. (2012). Intimate distances: William James' introspection, Buddhist mindfulness, and experiential inquiry. //New Ideas in Psychology, 30//(2), 201-211. https://doi.org/10.1016/j.newideapsych.2011.10.001
Wayment, H.A., Wiist, B., Sullivan, B.M., & Warren, M.A. (2011). Doing and being: Mindfulness, health, and quiet ego characteristics among Buddhist practitioners. //Journal of Happiness Studies, 12//(4), 575-589. https://doi.org/10.1007/s10902-010-9218-6
Gockel, A., & Burton, D.L. (2014). An evaluation of prepracticum helping skills training for graduate social work students. //Journal of Social Work education, 50//(1), 101-119. https://doi.org/10.1080/10437797.2014.856234
Cheng, F.K. (2017). Cancer-induced bone pain management through Buddhist beliefs. //Journal of Religion & Health, 56//(6), 2251-2266. https://doi.org/10.1007/s10943-017-0401-5
Zeng, X.L., Li, M.D., Zhang, B., & Liu, X.P. (2015). Revision of the philadelphia mindfulness scale for measuring awareness and equanimity in Goenka’s vipassana meditation with Chinese Buddhists. //Journal of Religion & Health, 54//(2), 623-637. https://doi.org/10.1007/s10943-014-9870-y
Newsome, S., Christopher, J.C., Dahlen, P., & Christopher, S. (2006). Teaching counselors self-care through mindfulness practices. //Teachers College Record, 108//(9), 1881-1900.
Samuel, G. (2015). The contemporary mindfulness movement and the question of nonself. //Transcultural Psychiatry, 52//(4), 485-500. https://doi.org/10.1177/1363461514562061
Shonin, E., Van Gordon, W., & Griffiths, M.D. (2016). Ontological addiction: Classification, etiology, and treatment. //Mindfulness, 7//(3), 660-671. https://doi.org/10.1007/s12671-016-0501-4
Valerio, A. (2016). Owning mindfulness: A bibliometric analysis of mindfulness literature trends within and outside of Buddhist contexts. //Contemporary Buddhism, 17//(1), 157-183. https://doi.org/10.1080/14639947.2016.1162425
Moore, Z.E. (2015). Addressing assumptions and clarifying conclusions in "assumptions and conclusions: Fundamental distinctions between Tibetan Buddhist and western approaches to happiness". //Journal of Rational-emotive and Cognitive-behavior Therapy, 33//(4), 368-373. https://doi.org/10.1007/s10942-015-0223-x
Wu, J.T., & Wenning, M. (2016). The postsecular turn in education: Lessons from the mindfulness movement and the revival of confucian academies. //Studies in Philosophy and Education, 35//(6), 551-571. https://doi.org/10.1007/s11217-016-9513-8
Bohecker, L., & Horn, E.A.D. (2016). Increasing students' empathy and counseling self-efficacy through a mindfulness experiential small group. //Journal for Specialists in Group Work, 41//(4), 312-333. https://doi.org/10.1080/01933922.2016.1232322
Kelly, B.D. (2011). Self-immolation, suicide and self-harm in Buddhist and western traditions. //Transcultural Psychiatry, 48//(3), 299-317. https://doi.org/10.1177/1363461511402869
Brown, A.P., Marquis, A., & Guiffrida, D.A. (2013). Mindfulness-based interventions in counseling. //Journal of Counseling and Development, 91//(1), 96-104. https://doi.org/10.1002/j.1556-6676.2013.00077.x
Hoeberichts, J.H. (2012). Teaching council in Sri Lanka: A post disaster, culturally sensitive and spiritual model of group process. //Journal of Religion & Health, 51//(2), 390-401. https://doi.org/10.1007/s10943-010-9358-3
Flickinger, T.E., Berry, S., Korthuis, P.T., Saha, S., Laws, M.B., Sharp, V., ... & Beach, M.C. (2013). Counseling to reduce high-risk sexual behavior in HIV care: A multi-center, direct observation study. //AIDS Patient Care and STDs, 27//(7), 416-424. https://doi.org/10.1089/apc.2012.0426
Batchelor, M. (2011). Meditation and mindfulness. //Contemporary Buddhism, 12//(1), 157-164. https://doi.org/10.1080/14639947.2011.564832
Hart-Johnson, A.M. (2017). Gaining access to socially stigmatized samples. //Qualitative Report, 22//(6), 1550-1564.
Arun, B., Austin, T., Babiera, G.V., Basen-Engquist, K., Carmack, C.L., Chaoul, A., ... & Yeung, S.C.J. (2017). A comprehensive lifestyle randomized clinical trial: Design and initial patient experience. //Integrative Cancer Therapies, 16//(1), 3-20. https://doi.org/10.1177/1534735416679516
Zalta, A. (2016). Contribution of Buddhist mindfulness to the transformation of conflicts – dependent origination (paticca-samuppāda) and deconstruction of identity. //Asian Studies-azijske Studije, 4//(2), 139-151. https://doi.org/10.4312/as.2016.4.2.139-151
Helderman, I. (2015). 'The conversion of the barbarians': Comparison and psychotherapists’ approaches to Buddhist traditions in the United States. //Buddhist Studies Review, 32//(1), 63-97. https://doi.org/10.1558/bsrv.v32i1.27024
Mersh, L., Jones, F., & Oliver, J. (2015). Mindfulness, self-stigma and social functioning in first episode psychosis: A brief report. //Psychosis: Psychological, Social and Integrative Approaches, 7//(3), 261-264. https://doi.org/10.1080/17522439.2015.1024714
Potas, N., Ercetin, S.S., Yilmaz, M., Acikalin, S.N., Gungor, H., & Akyol, E.S. (2016). 3D scale for awareness, attitude, stigma of addiction. //Studies on Ethno-Medicine, 10//(2), 156-165. https://doi.org/10.1080/09735070.2016.11905484
Gonzalez, A., Solomon, S.E., Zvolensky, M.J., & Miller, C.T. (2009). The Interaction of mindful-based attention and awareness and disengagement coping with HIV/AIDS-related stigma in regard to concurrent anxiety and depressive symptoms among adults with HIV/AIDS. //Journal of Health Psychology, 14//(3), 403-413. https://doi.org/10.1177/1359105309102193
Farb, N.A.S. (2014). From retreat center to clinic to boardroom? Perils and promises of the modern mindfulness movement. //Religions, 5//(4), 1062-1086. https://doi.org/10.3390/rel5041062
Todd, N.R., & Abrams, E.M. (2011). White dialectics: A new framework for theory, research, and practice with white students. //Counseling Psychologist, 39//(3), 353-395. https://doi.org/10.1177/0011000010377665
Abell, N., & Rutledge, S.E. (2010). Awareness, acceptance and action: Developing mindful collaborations in international HIV/AIDS research and service. //British Journal of Social Work, 40//(2), 656-675. https://doi.org/10.1093/bjsw/bcp047
Fulton, C.L., & Cashwell, C.S. (2015). Mindfulness-based awareness and compassion: Predictors of counselor empathy and anxiety. //Counselor Education and Supervision, 54//(2), 122-133. https://doi.org/10.1002/ceas.12009
Hwang, K.K., & Chang, J. (2009). Self-cultivation culturally sensitive psychotherapies in Confucian societies. //Counseling Psychologist, 37//(7), 1010-1032. https://doi.org/10.1177/0011000009339976
Lillis, J., Hayes, S.C., Bunting, K., & Masuda, A. (2009). Teaching acceptance and mindfulness to improve the lives of the obese: A preliminary test of a theoretical model. //Annals of Behavioral Medicine, 37//(1), 58-69. https://doi.org/10.1007/s12160-009-9083-x
Chadha, M. (2015). Meditation and unity of consciousness: A perspective from Buddhist epistemology. //Phenomenology and the Cognitive Sciences, 14//(1), 111-127. https://doi.org/10.1007/s11097-013-9316-0
Bingaman, K.A. (2016). Incorporating contemplative neuroscience and mindfulness-based therapies into pastoral care and counseling: A critical correlational method. //Pastoral Psychology, 65//(6), 759-772. https://doi.org/10.1007/s11089-016-0719-z
Stratton, S.P. (2015). Mindfulness and contemplation: Secular and religious traditions in western context. //Counseling and Values, 60//(1), 100-118. https://doi.org/10.1002/j.2161-007X.2015.00063.x
Hanna, F.J., Wilkinson, B.D., & Givens, J. (2017). Recovering the original phenomenological research method: An exploration of husserl, yoga, Buddhism, and new frontiers in humanistic counseling. //Journal of Humanistic Counseling, 56//(2), 144-162. https://doi.org/10.1002/johc.12049
Sooksawat, A., Janwantanakul, P., Tencomnao, T., & Pensri, P. (2013). Are religious beliefs and practices of Buddhism associated with disability and salivary cortisol in office workers with chronic low back pain?. //BMC Musculoskeletal Disorders, 14//. https://doi.org/10.1186/1471-2474-14-29
Hyland, T. (2017). Mcdonaldizing spirituality: Mindfulness, education, and consumerism. //Journal of Transformative Education, 15//(4), 334-356. https://doi.org/10.1177/1541344617696972
Kenny, A., & Bizumic, B. (2016). Learn and act: Changing prejudice towards people with mental illness using stigma reduction interventions. //Journal of Contextual Behavioral Science, 5//(3), 178-185. https://doi.org/10.1016/j.jcbs.2016.06.004
Loy, D. (2013). What's wrong with sex? A Buddhist perspective. //Sexual and Relationship Therapy, 28//(42737), 141-147. https://doi.org/10.1080/14681994.2012.758839
Grossman, P., & Van Dam, N.T. (2011). Mindfulness, by any other name...: Trials and tribulations of sati in western psychology and science. //Contemporary Buddhism, 12//(1), 219-239. https://doi.org/10.1080/14639947.2011.564841
Gethin, R. (2011). On some definitions of mindfulness. //Contemporary Buddhism, 12//(1), 263-279. https://doi.org/10.1080/14639947.2011.564843
Lindahl, J.R., Fisher, N.E., Cooper, D.J., Rosen, R.K., & Britton, W.B. (2017). The varieties of contemplative experience: A mixed-methods study of meditation-related challenges in western Buddhists. //PLOS ONE, 12//(5), e0176239. https://doi.org/10.1371/journal.pone.0176239
Lin, P., & Seiden, H.M. (2015). Mindfulness and psychoanalytic psychotherapy: A clinical convergence. //Psychoanalytic Psychology, 32//(2), 321-333. https://doi.org/10.1037/a0038170
Thieleman, K., Cacciatore, J., & Hill, P.W. (2014). Traumatic bereavement and mindfulness: A preliminary study of mental health outcomes using the attend model. //Clinical Social Work Journal, 42//(3), 260-268. https://doi.org/10.1007/s10615-014-0491-4
Hyland, T. (2014). Mindfulness, free will and Buddhist practice: Can meditation enhance human agency?. //Buddhist Studies Review, 31//(1), 125-140. https://doi.org/10.1558/bsrv.v31i1.125
Ariyabuddhiphongs, V., & Jaiwong, D. (2010). Observance of the Buddhist five precepts, subjective wealth, and happiness among buddhists in bangkok, thailand. //Archive for the Psychology of Religion, 32//(3), 327-344. https://doi.org/10.1163/157361210X533274
Berkovich-Ohana, A. (2017). A case study of a meditation-induced altered state: Increased overall gamma synchronization. //Phenomenology and the Cognitive Sciences, 16//(1), 91-106. https://doi.org/10.1007/s11097-015-9435-x
Hyland, T. (2015). On the contemporary applications of mindfulness: Some implications for education. //Journal of Philosophy of Education, 49//(2), 170-186. https://doi.org/10.1111/1467-9752.12135
Kuan, T.F. (2012). Cognitive operations in Buddhist meditation: Interface with western psychology. //Contemporary Buddhism, 13//(1), 35-60. https://doi.org/10.1080/14639947.2012.669281
Marques, J. (2012). Consciousness at work: A review of some important values, discussed from a Buddhist perspective. //Journal of Business Ethics, 105//(1), 27-40. https://doi.org/10.1007/s10551-011-0932-8
Lillis, J., Levin, M.E., & Hayes, S.C. (2011). Exploring the relationship between body mass index and health-related quality of life: A pilot study of the impact of weight self-stigma and experiential avoidance. //Journal of Health Psychology, 16//(5), 722-727. https://doi.org/10.1177/1359105310388321
Sahdra, B.K., Shaver, P.R., & Brown, K.W. (2010). A scale to measure nonattachment: A Buddhist complement to western research on attachment and adaptive functioning. //Journal of Personality assessment, 92//(2), 116-127. https://doi.org/10.1080/00223890903425960
Ostafin, B.D., Chawla, N., Bowen, S., Dillworth, T.M., Witkiewitz, K., & Marlatt, G.A. (2006). Intensive mindfulness training and the reduction of psychological distress: A preliminary study. //Cognitive and Behavioral Practice, 13//(3), 191-197. https://doi.org/10.1016/j.cbpra.2005.12.001
Hyland, T. (2014). Mindfulness-based interventions and the affective domain of education. //Educational Studies, 40//(3), 277-291. https://doi.org/10.1080/03055698.2014.889596
Brown, C.G. (2015). Integrative medicine in the hospital: Secular or religious?. //Society, 52//(5), 462-468. https://doi.org/10.1007/s12115-015-9929-8
Lomas, T., Etcoff, N., Van Gordon, W., & Shonin, E. (2017). Zen and the art of living mindfully: The health-enhancing potential of Zen aesthetics. //Journal of Religion & Health, 56//(5), 1720-1739. https://doi.org/10.1007/s10943-017-0446-5
Kabat-Zinn, J. (2011). Some reflections on the origins of MBSR, skillful means, and the trouble with maps. //Contemporary Buddhism, 12//(1), 281-306. https://doi.org/10.1080/14639947.2011.564844
Kozasa, E.H., Lacerda, S.S., Menezes, C., Wallace, B.A., Radvany, J., Mello, L.E.A.M., ... & Sato, J.R. (2015). Effects of a 9-day Shamatha Buddhist meditation retreat on attention, mindfulness and self-compassion in participants with a broad range of meditation experience. //Mindfulness, 6//(6), 1235-1241. https://doi.org/10.1007/s12671-015-0385-8
Christopher, J.C., Christopher, S.E., Dunnagan, T., & Schure, M. (2006).Teaching self-care through mindfulness practices: The application of yoga, meditation, and qigong to counselor training. //Journal of Humanistic Psychology, 46//(4), 494-509. https://doi.org/10.1177/0022167806290215
Gutierrez, D., Fox, J., & Wood, A.W. (2015). Center, light, and sound: The psychological benefits of three distinct meditative practices. //Counseling and Values, 60//(2), 234-247. https://doi.org/10.1002/cvj.12016
Vago, D.R. (2014). Mapping modalities of self-awareness in mindfulness practice: A potential mechanism for clarifying habits of mind. //Annals of the New York Academy of Sciences, 1307//(1), 28-42. https://doi.org/10.1111/nyas.12270
Luoma, J.B., Kohlenberg, B.S., Hayes, S.C., Bunting, K., & Rye, A.K. (2008). Reducing self-stigma in substance abuse through acceptance and commitment therapy: Model, manual development, and pilot outcomes. //Addiction Research & Theory, 16//(2), 149-165. https://doi.org/10.1080/16066350701850295
Sacamano, J., & Altman, J.K. (2016). Beyond mindfulness: Buddha nature and the four postures in psychotherapy. //Journal of Religion & Health, 55//(5), 1585-1595. https://doi.org/10.1007/s10943-015-0169-4
Fulton, P.R. (2014). Contributions and challenges to clinical practice from Buddhist psychology. //Clinical Social Work Journal, 42//(3), 208-217. https://doi.org/10.1007/s10615-013-0469-7
McWilliams, S.A. (2012). Mindfulness and extending constructivist psychotherapy integration. //Journal of Constructivist Psychology, 25//(3), 230-250. https://doi.org/10.1080/10720537.2012.679130
Reilly, B. (2016). Mindfulness infusion through cacrep standards. //Journal of Creativity in Mental Health, 11//(2), 213-224. https://doi.org/10.1080/15401383.2016.1139482
Stella, M. (2016). Befriending death: A mindfulness-based approach to cultivating self-awareness in counselling students. //Death Studies, 40//(1), 32-39. https://doi.org/10.1080/07481187.2015.1056566
Penberthy, J.K., Williams, S., Hook, J.N., Le, N., Bloch, J., Forsyth, J., ... & Schorling, J. (2017). Impact of a Tibetan Buddhist meditation course and application of related modern contemplative practices on college students' psychological well-being: A pilot study. //Mindfulness, 8//(4), 911-919. https://doi.org/10.1007/s12671-016-0665-y
Travis, F., & Shear, J. (2010). Focused attention, open monitoring and automatic self-transcending: Categories to organize meditations from Vedic, Buddhist and Chinese traditions. //Consciousness and Cognition, 19//(4), 1110-1118. https://doi.org/10.1016/j.concog.2010.01.007
Keiser, D.L., & Adarkar, A. (2015). Buddhas still in classrooms: Where is the mustard seed?. //Reflective Practice, 16//(6), 836-848. https://doi.org/10.1080/14623943.2015.1095732
Ganz, S. (2015). A Buddhist blessing: Meditations and mindfulness in Souvankham Thammavongsa’s Small Arguments. //British Journal of Canadian Studies, 28//(1), 105-120. https://doi.org/10.3828/bjcs.2015.6
Strassberg, B.A. (2003). The plague of blood: HIV/AIDS and ethics of the global health-care challenge. //Zygon, 38//(1), 169-184. https://doi.org/10.1111/1467-9744.00490
Schure, M.B., Christopher, J., & Christopher, S. (2008). Mind–body medicine and the art of self‐care: Teaching mindfulness to counseling students through Yoga, meditation, and Qigong. //Journal of Counseling and Development, 86//(1), 47-56. https://doi.org/10.1002/j.1556-6678.2008.tb00625.x
Solomon, C., & Barden, S.M. (2016). Self-compassion: A mentorship framework for counselor educator mothers. //Counselor Education and Supervision, 55//(2), 137-149. https://doi.org/10.1002/ceas.12038
Federman, A. (2015). Buddhist meditation in Britain: 1853 and 1945. //Religion, 45//(4), 553-572. https://doi.org/10.1080/0048721X.2015.1027969
Schomaker, S.A., & Ricard, R.J. (2015). Effect of a mindfulness-based intervention on counselor-client attunement. //Journal of Counseling and Development, 93//(4), 491-498. https://doi.org/10.1002/jcad.12047
Murphy, A. (2016). Mindfulness-based therapy in modern psychology: Convergence and divergence from early Buddhist thought. //Contemporary Buddhism, 17//(2), 275-325. https://doi.org/10.1080/14639947.2016.1228324
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Loving kindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology: General, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
[img[tps33.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Mularski, R.A., Munjas, B.A., Lorenz, K.A., Sun, S., Robertson, S.J., Schmelzer, W., ... & Shekelle, P.G. (2009). Randomized controlled trial of mindfulness-based therapy for dyspnea in chronic obstructive lung disease. //Journal of Alternative and Complementary Medicine, 15//(10), 1083-1090. https://doi.org/10.1089/acm.2009.0037
Chavooshi, B., Mohammadkhani, P., & Dolatshahee, B. (2017). Telemedicine vs. in-person delivery of intensive short-term dynamic psychotherapy for patients with medically unexplained pain: A 12-month randomized, controlled trial. //Journal of Telemedicine and Telecare, 23//(1), 133-141. https://doi.org/10.1177/1357633X15627382
Chan, R.R., & Lehto, R.H. (2016). The experience of learning meditation and mind/body practices in the COPD population. //Explore: The Journal of Science and Healing, 12//(3), 171-179. https://doi.org/10.1016/j.explore.2016.02.004
Gamez-Guadix, M., & Calvete, E. (2016). Assessing the relationship between mindful awareness and problematic internet use among adolescents. //Mindfulness, 7//(6), 1281-1288. https://doi.org/10.1007/s12671-016-0566-0
Volpato, E., Banfi, P., & Pagnini, F. (2017). A psychological intervention to promote acceptance and adherence to non-invasive ventilation in people with chronic obstructive pulmonary disease: Study protocol of a randomised controlled trial. //Trials, 18//, 59. https://doi.org/10.1186/s13063-017-1802-1
Benzo, R.P., Abascal-Bolado, B., & Dulohery, M.M. (2016). Self-management and quality of life in chronic obstructive pulmonary disease (COPD): The mediating effects of positive affect. //Patient Education and Counseling, 99//(4), 617-623. https://doi.org/10.1016/j.pec.2015.10.031
De Giorgio, A., Dante, A., Cavioni, V., Padovan, A.M., Rigonat, D., Iseppi, F., ... & Gulotta, F. (2017). The IARA Model as an integrative approach to promote autonomy in COPD patients through improvement of self-Efficacy beliefs and illness perception: A mixed-method pilot study. //Frontiers in Psychology, 8//,1682. https://doi.org/10.3389/fpsyg.2017.01682
Arefnasab, Z., Ghanei, M., Noorbala, A.A., Ali-Pour, A., Babamahmoodi, F., Babamahmoodi, A., ... & Salehi, M. (2013). Effect of mindfulness based stress reduction on quality of life (sf-36) and spirometry parameters, in chemically pulmonary injured veterans. //Iranian Journal of Public Health, 42//(9), 1026-1033.
Hodges, N. (2015). The chemical life. //Health Communication, 30//(6), 627-634. https://doi.org/10.1080/10410236.2013.861288
Arslan, G. (2017). Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: A study of mediation effect. //Computers in Human Behavior, 72//, 57-66. https://doi.org/10.1016/j.chb.2017.02.037
Arefnasab, Z., Babamahmoodi, A., Babamahmoodi, F., Noorbala, A.A., Alipour, A., Panahi, Y., ... & Ghanei, M. (2016). Mindfulness-based stress reduction (mbsr) and its effects on psychoimmunological factors of chemically pulmonary injured veterans. //Iranian Journal of Allergy Asthma and Immunology, 15//(6), 476-486.
Chavooshi, B., Mohammadkhani, P., & Dolatshahi, B. (2016). A randomized double-blind controlled trial comparing davanloo intensive short-term dynamic psychotherapy as internet-delivered vs treatment as usual for medically unexplained pain: A 6-month pilot study. //Psychosomatics, 57//(3), 292-300. https://doi.org/10.1016/j.psym.2016.01.001
Hauge, C.R., Rasmussen, A., Piet, J., Bonde, J.P., Jensen, C., Sumbundu, A., ... & Skovbjerg, S. (2015). Mindfulness-based cognitive therapy (MBCT) for multiple chemical sensitivity (MCS): Results from a randomized controlled trial with 1 year follow-up. //Journal of Psychosomatic Research, 79//(6), 628-634. https://doi.org/10.1016/j.jpsychores.2015.06.010
Gammon, D., Strand, M., Sofie, L., Borosund, E., Varsi, C., & Ruland, C. (2017). Shifting practices toward recovery-oriented care through an e-recovery portal in community mental health care: A mixed-methods exploratory study. //Journal of Medical Internet Research, 19//(5), e145. https://doi.org/10.2196/jmir.7524
Hauge, C.R., Bonde, J.P.E., Rasmussen, A., & Skovbjerg, S. (2012). Mindfulness-based cognitive therapy for multiple chemical sensitivity: A study protocol for a randomized controlled trial. //Trials, 13//, 179. https://doi.org/10.1186/1745-6215-13-179
Chan, R.R., Giardino, N., & Larson, J.L. (2015). A pilot study: Mindfulness meditation intervention in COPD. //International Journal of Chronic Obstructive Pulmonary Disease, 10//(1), 445-454. https://doi.org/10.2147/COPD.S73864
Harrison, S.L., Lee, A., Goldstein, R.S., & Brooks, D. (2017). Perspectives of healthcare professionals and patients on the application of mindfulness in individuals with chronic obstructive pulmonary disease. //Patient Education and Counseling, 100//(2), 337-342. https://doi.org/10.1016/j.pec.2016.08.018
Benzo, R., Wetzstein, M., Neuenfeldt, P., & McEvoy, C. (2015). Implementation of physical activity programs after COPD hospitalizations: Lessons from a randomized study. //Chronic Respiratory Disease, 12//(1), 5-10. https://doi.org/10.1177/1479972314562208
Calvete, E., Gamez-Guadix, M., & Cortazar, N. (2017). Mindfulness facets and problematic internet use: A six-month longitudinal study. //Addictive Behaviors, 72//, 57-63. https://doi.org/10.1016/j.addbeh.2017.03.018
Donesky-Cuenco, D., Nguyen, H.Q., Paul, S., & Carrieri-Kohlman, V. (2009). Yoga therapy decreases dyspnea-related distress and improves functional performance in people with chronic obstructive pulmonary disease: A pilot study. //Journal of Alternative and Complementary Medicine, 15//(3), 225-234. https://doi.org/10.1089/acm.2008.0389
Soltani, E., Bahrainian, S.A., Arani, A.M., Farhoudian, A., & Gachkar, L. (2016). Psychometric properties of the Persian version of the social anxiety - acceptance and action questionnaire. //Iranian Journal of Psychiatry and Behavioral Sciences, 10//(2), e3753. https://doi.org/10.17795/ijpbs.3753
Skovbjerg, S., Hauge, C.R., Rasmussen, A., Winkel, P., & Elberling, J. (2012). Mindfulness-based cognitive therapy to treat multiple chemical sensitivities: A randomized pilot trial. //Scandinavian Journal of Psychology, 53//(3), 233-238. https://doi.org/10.1111/j.1467-9450.2012.00950.x
Ljotsson, B., Atterlof, E., Lagerlof, M., Andersson, E., Jernelov, S., Hedman, E., ... & Wicksell, R.K. (2014). Internet-delivered acceptance and values-based exposure treatment for fibromyalgia: A pilot study. //Cognitive Behaviour Therapy, 43//(2), 93-104. https://doi.org/10.1080/16506073.2013.846401
Iskender, M., & Akin, A. (2011). Self-compassion and internet addiction. //Turkish Online Journal of Educational Technology, 10//(3), 215-221.
Farver-Vestergaard, I., Jacobsen, D., & Zachariae, R. (2015). Efficacy of psychosocial interventions on psychological and physical health outcomes in chronic obstructive pulmonary disease: A systematic review and meta-analysis. //Psychotherapy and Psychosomatics, 84//(1), 37-50. https://doi.org/10.1159/000367635
Johansson, R., Hesser, H., Ljotsson, B., Frederick, R.J., & Andersson, G. (2012). Transdiagnostic, affect-focused, psychodynamic, guided self-help for depression and anxiety through the internet: Study protocol for a randomised controlled trial. //BMJ Open, 2//(6), e002167. https://doi.org/10.1136/bmjopen-2012-002167
Mazzoni, E., Cannata, D., & Baiocco, L. (2017). Focused, not lost: The mediating role of temporal dissociation and focused immersion on problematic internet use. //Behaviour & Information Technology, 36//(1), 11-20. https://doi.org/10.1080/0144929X.2016.1159249
Wolvers, M.D.J., Bruggeman-Everts, F.Z., Van der Lee, M.L., Van de Schoot, R., & Vollenbroek-Hutten, M.M.R. (2015). Effectiveness, mediators, and effect predictors of internet interventions for chronic cancer-related fatigue: The design and an analysis plan of a 3-armed randomized controlled trial. //JMIR Research Protocols, 4//(2). https://doi.org/10.2196/resprot.4363
Johansson, B., Bjuhr, H., Karlsson, M., Karlsson, J.O., & Ronnback, L. (2015). Mindfulness-Based Stress Reduction (MBSR) delivered live on the Internet to individuals suffering from mental fatigue after an acquired brain injury. //Mindfulness, 6//(6), 1356-1365. https://doi.org/10.1007/s12671-015-0406-7
Eells, G.T. (2016). Using an existential psychotherapy framework to assist students in mindful internet use. //Journal of College Student Psychotherapy, 30//(1), 42-53. https://doi.org/10.1080/87568225.2016.1105661
Gould, L.F., Dariotis, J.K., Greenberg, M.T., & Mendelson, T. (2016).Assessing Fidelity of Implementation (FOI) for school-based mindfulness and Yoga interventions: A systematic review. //Mindfulness, 7//(1), 5-33. https://doi.org/10.1007/s12671-015-0395-6
Ljotsson, B., Hedman, E., Lindfors, P., Hursti, T., Lindefors, N., Andersson, G., ... & Ruck, C. (2011). Long-term follow-up of internet-delivered exposure and mindfulness based treatment for irritable bowel syndrome. //Behaviour Research and Therapy, 49//(1), 58-61. https://doi.org/10.1016/j.brat.2010.10.006
Ljotsson, B., Falk, L., Vesterlund, A.W., Hedman, E., Lindfors, P., Ruck, C., ... & Andersson, G. (2010). Internet-delivered exposure and mindfulness based therapy for irritable bowel syndrome - A randomized controlled trial. //Behaviour Research and Therapy, 48//(6), 531-539. https://doi.org/10.1016/j.brat.2010.03.003
Zeidan, F., Martucci, K.T., Kraft, R.A., McHaffie, J.G., & Coghill, R.C. (2014). Neural correlates of mindfulness meditation-related anxiety relief. //Social Cognitive and Affective Neuroscience, 9//(6), 751-759. https://doi.org/10.1093/scan/nst041
Andersson, E., Ljotsson, B., Smit, F., Paxling, B., Hedman, E., Lindefors, N., ... & Ruck, C. (2011). Cost-effectiveness of internet-based cognitive behavior therapy for irritable bowel syndrome: Results from a randomized controlled trial. //BMC Public Health, 11//, 215. https://doi.org/10.1186/1471-2458-11-215
Malpass, A., Kessler, D., Sharp, D., & Shaw, A. (2015). MBCT for patients with respiratory conditions who experience anxiety and depression: A qualitative study. //Mindfulness, 6//(5), 1181-1191. https://doi.org/10.1007/s12671-014-0370-7
Dahlin, M., Andersson, G., Magnusson, K., Johansson, T., Sjogren, J., Hakansson, A., ... & Carlbring, P. (2016). Internet-delivered acceptance-based behaviour therapy for generalized anxiety disorder: A randomized controlled trial. //Behaviour Research and Therapy, 77//, 86-95. https://doi.org/10.1016/j.brat.2015.12.007
Benzo, R.P. (2013). Mindfulness and motivational interviewing: Two candidate methods for promoting self-management. //Chronic Respiratory Disease, 10//(3), 175-182. https://doi.org/10.1177/1479972313497372
Hartmann, A.S., Thomas, J.J., Greenberg, J.L., Rosenfield, E.H., & Wilhelm, S. (2015). Accept, distract, or reframe? An exploratory experimental comparison of strategies for coping with intrusive body image thoughts in anorexia nervosa and body dysmorphic disorder. //Psychiatry Research, 225//(3), 643-650. https://doi.org/10.1016/j.psychres.2014.11.031
[img[tps34.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Carlson, W.D., Pattison, D.R.M., & Caddick, M.J. (2015). Beyond the equilibrium paradigm: How consideration of kinetics enhances metamorphic interpretation. //American Mineralogist, 100//(42956). https://doi.org/10.2138/am-2015-5097
Sugiura, T., & Sugiura, Y. (2015). Common factors of meditation, focusing, and cognitive behavioral therapy: Longitudinal relation of self-report measures to worry, depressive, and obsessive-compulsive symptoms among nonclinical students. //Mindfulness, 6//(3), 610-623. https://doi.org/10.1007/s12671-014-0296-0
Sugiura, Y. (2004). Detached mindfulness and worry: A meta-cognitive analysis. //Personality and Individual Differences, 37//(1), 169-179. https://doi.org/10.1016/j.paid.2003.08.009
Sugiura, T., & Sugiura, Y. (2016). Relationships between refraining from catastrophic thinking, repetitive negative thinking, and psychological distress. //Psychological Reports, 119//(2), 374-394. https://doi.org/10.1177/0033294116663511
Sugiura, T., Sugiura, Y., & Tanno, Y. (2013). Relationships among refraining from catastrophic thinking, worrying, and metacognitive beliefs. //Psychological Reports, 113//(1), 1-14. https://doi.org/10.2466/02.09.PR0.113x14z3
Arch, J.J., & Craske, M.G. (2006). Mechanisms of mindfulness: Emotion regulation following a focused breathing induction. //Behaviour Research and Therapy, 44//(12), 1849-1858. https://doi.org/10.1016/j.brat.2005.12.007
Shearer, S., & Gordon, L. (2006). The patient with excessive worry. //American Family Physician, 73//(6), 1049-1056.
Batcho, K.I., & Shikh, S. (2016). Anticipatory nostalgia: Missing the present before it's gone. //Personality and Individual Differences, 98//, 75-84. https://doi.org/10.1016/j.paid.2016.03.088
Day, M.A., Smitherman, A., Ward, L.C., & Thorn, B.E. (2015). An investigation of the associations between measures of mindfulness and pain catastrophizing. //Clinical Journal of Pain, 31//(3), 222-228. https://doi.org/10.1097/AJP.0000000000000102
Delgado, L.C., Guerra, P., Perakakis, P., Vera, M.N., del Paso, G.R., & Vila, J. (2010). Treating chronic worry: Psychological and physiological effects of a training programme based on mindfulness. //Behaviour Research and Therapy, 48//(9), 873-882. https://doi.org/10.1016/j.brat.2010.05.012
Verplanken, B., & Fisher, N. (2014). Habitual worrying and benefits of mindfulness. //Mindfulness, 5//(5), 566-573. https://doi.org/10.1007/s12671-013-0211-0
Wells, A., & Roussis, P. (2014). Refraining from intrusive thoughts is strategy dependent: A comment on Sugiura, et al. and a preliminary informal test of detached mindfulness, acceptance, and other strategies. //Psychological Reports, 115//(2), 541-544. https://doi.org/10.2466/02.PR0.115c21z9
Vlemincx, E., Vigo, D., Vansteenwegen, D., Van den Bergh, O., & Van Diest, I. (2013). Do not worry, be mindful: Effects of induced worry and mindfulness on respiratory variability in a nonanxious population. //International Journal of Psychophysiology, 87//(2), 147-151. https://doi.org/10.1016/j.ijpsycho.2012.12.002
Fisak, B., Holderfield, K.G., Douglas-Osborn, E., & Cartwright-Hatton, S. (2012). What do parents worry about? examination of the construct of parent worry and the relation to parent and child anxiety. //Behavioural and Cognitive Psychotherapy, 40//(5), 542-557. https://doi.org/10.1017/S1352465812000410
Ainsworth, B., Bolderston, H., & Garner, M. (2017). Testing the differential effects of acceptance and attention-based psychological interventions on intrusive thoughts and worry. //Behaviour Research and Therapy, 91//, 72-77. https://doi.org/10.1016/j.brat.2017.01.012
Verplanken, B. (2012). When bittersweet turns sour: Adverse effects of nostalgia on habitual worriers. //European Journal of Social Psychology, 42//(3), 285-289. https://doi.org/10.1002/ejsp.1852
Carney, C.E., Harris, A.L., Moss, T.G., & Edinger, J.D. (2010). Distinguishing rumination from worry in clinical insomnia. //Behaviour Research and Therapy, 48//(6), 540-546. https://doi.org/10.1016/j.brat.2010.03.004
Course-Choi, J., Saville, H., & Derakshan, N. (2017). The effects of adaptive working memory training and mindfulness meditation training on processing efficiency and worry in high worriers. //Behaviour Research and Therapy, 89//, 1-13. https://doi.org/10.1016/j.brat.2016.11.002
Eilenberg, T., Hoffmann, D., Jensen, J.S., & Frostholm, L. (2017). Intervening variables in group-based acceptance & commitment therapy for severe health anxiety. //Behaviour Research and Therapy, 92//, 24-31. https://doi.org/10.1016/j.brat.2017.01.009
Fisak, B., & Von Lehe, A.C. (2012). The relation between the five facets of mindfulness and worry in a non-clinical sample. //Mindfulness, 3//(1), 15-21. https://doi.org/10.1007/s12671-011-0075-0
Mantzios, M. (2014). Exploring the relationship between worry and impulsivity in military recruits: The role of mindfulness and self-compassion as potential mediators. //Stress and Health, 30//(5), 397-404. https://doi.org/10.1002/smi.2617
Caselli, G., Gemelli, A., Spada, M.M., & Wells, A. (2016). Experimental modification of perspective on thoughts and metacognitive beliefs in alcohol use disorder. //Psychiatry Research, 244//, 57-61. https://doi.org/10.1016/j.psychres.2016.07.029
Ruiz, F.J. (2014). The relationship between low levels of mindfulness skills and pathological worry: The mediating role of psychological inflexibility. //Anales de Psicologia, 30//(3), 887-897. https://doi.org/10.6018/analesps.30.3.150651
Lenze, E.J., Hickman, S., Hershey, T., Wendleton, L., Ly, K., Dixon, D., ... & Wetherell, J.L. (2014). Mindfulness-based stress reduction for older adults with worry symptoms and co-occurring cognitive dysfunction. //International Journal of Geriatric Psychiatry, 29//(10), 991-1000. https://doi.org/10.1002/gps.4086
Hulsheger, U.R., Feinholdt, A., & Nubold, A. (2015). A low-dose mindfulness intervention and recovery from work: Effects on psychological detachment, sleep quality, and sleep duration. //Journal of Occupational and Organizational Psychology, 88//(3), 464-489. https://doi.org/10.1111/joop.12115
Goldwin, M., & Behar, E. (2012). Concreteness of Idiographic periods of worry and depressive rumination. //Cognitive Therapy and Research, 36//(6), 840-846. https://doi.org/10.1007/s10608-011-9428-1
Knabb, J.J., Frederick, T.V., & Cumming, G. (2017). Surrendering to god’s providence: A three-part study on providence-focused therapy for recurrent worry (PFT-RW). //Psychology of Religion and Spirituality, 9//(2), 180-196. https://doi.org/10.1037/rel0000081
Ramsburg, J.T., & Youmans, R.J. (2014). Meditation in the higher-education classroom: Meditation training improves student knowledge retention during lectures. //Mindfulness, 5//(4), 431-441. https://doi.org/10.1007/s12671-013-0199-5
Ruths, F.A., de Zoysa, N., Frearson, S.J., Hutton, J., Williams, J.M.G., & Walsh, J. (2013). Mindfulness-based cognitive therapy for mental health professionals - a pilot study. //Mindfulness, 4//(4), 289-295. https://doi.org/10.1007/s12671-012-0127-0
Delgado-Pastor, L.C., Ciria, L.F., Blanca, B., Mata, J.L., Vera, M.N., & Vila, J. (2015). Dissociation between the cognitive and interoceptive components of mindfulness in the treatment of chronic worry. //Journal of Behavior Therapy and Experimental Psychiatry, 48//, 192-199. https://doi.org/10.1016/j.jbtep.2015.04.001
Bowen, A., Baetz, M., Schwartz, L., Balbuena, L., & Muhajarine, N. (2014). Antenatal group therapy improves worry and depression symptoms. //Israel Journal of Psychiatry and Related Sciences, 51//(3), 226-231.
Franco, C., Amutio, A., Manas, I., Gazquez, J.J., & Perez-Fuentes, M.D. (2017). Reducing anxiety, geriatric depression and worry in a sample of older adults through a mindfulness training program. //Terapia Psicologica, 35//(1), 71-79. http://dx.doi.org/10.4067/S0718-48082017000100007.
Nasser, J.D., & Przeworski, A. (2017). A comparison of two brief present moment awareness training paradigms in high worriers. //Mindfulness, 8//(3), 775-787. https://doi.org/10.1007/s12671-016-0656-z
Levesque, C., Copeland, K.J., & Sutcliffe, R.A. (2008). Conscious and nonconscious processes: Implications for self-determination theory. //Canadian Psychology-psychologie Canadienne, 49//(3), 218-224. https://doi.org/10.1037/a0012756
[img[tps35.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Balneaves, L.G., Lee, R.T., Guns, E.S.T., Zick, S.M., Bauer-Wu, S., & Greenlee, H. (2014). Tenth international conference of the society for integrative oncology translational science in integrative oncology: From bedside to bench to best practices. //Integrative Cancer Therapies, 13//(1), 5-11. https://doi.org/10.1177/1534735413517743
Carlson, L.E., Beattie, T.L., Giese-Davis, J., Faris, P., Tamagawa, R., Fick, L.J., ... & Speca, M. (2015). Mindfulness-based cancer recovery and supportive-expressive therapy maintain telomere length relative to controls in distressed breast cancer survivors. //Cancer, 121//(3), 476-484. https://doi.org/10.1002/cncr.29063
Abrahams, H.J.G., Gielissen, M.F.M., de Lugt, M., Kleijer, E.F.W., de Roos, W.K., Balk, E., ... & Knoop, H. (2017). The distress thermometer for screening for severe fatigue in newly diagnosed breast and colorectal cancer patients. //Psycho-Oncology, 26//(5), 693-697. https://doi.org/10.1002/pon.4208
Blaes, A.H., Fenner, D., Bachanova, V., Torkelson, C., Geller, M., Haddad, T., ... & Kreitzer, M.J. (2016). Mindfulness-based cancer recovery in survivors recovering from chemotherapy and radiation. //Journal of Community and Supportive Oncology, 14//(8), 351-358. https://doi.org/10.12788/jcso.0244
Lengacher, C.A., Reich, R.R., Paterson, C.L., Jim, H.S., Ramesar, S., Alinat, C.B., ... & Kip, K.E. (2015). The effects of mindfulness-based stress reduction on objective and subjective sleep parameters in women with breast cancer: A randomized controlled trial. //Psycho-Oncology, 24//(4), 424-432. https://doi.org/10.1002/pon.3603
Lengacher, C.A., Reich, R.R., Paterson, C.L., Ramesar, S., Park, J.Y., Alinat, C., ... & Kip, K.E. (2016). Examination of broad symptom improvement resulting from mindfulness-based stress reduction in breast cancer survivors: A randomized controlled trial. //Journal of Clinical Oncology, 34//(24), 2827-2834. https://doi.org/10.1200/JCO.2015.65.7874
Speck, R., DeMichele, A., Farrar, J., Hennessy, S., Mao, J., Stineman, M., ... & Barg, F. (2012). Scope of symptoms and self-management strategies for chemotherapy-induced peripheral neuropathy in breast cancer patients. //Supportive Care in Cancer, 20//(10), 2433-2439. https://doi.org/10.1007/s00520-011-1365-8
Butow, P.N., Bell, M.L., Smith, A.B., Fardell, J.E., Thewes, B., Turner, J., ... & Mihalopoulos, C. (2013). Conquer fear: Protocol of a randomised controlled trial of a psychological intervention to reduce fear of cancer recurrence. //BMC Cancer, 13//, 201. https://doi.org/10.1186/1471-2407-13-201
Reich, R.R., Lengacher, C.A., Klein, T.W., Newton, C., Shivers, S., Ramesar, S., ... & Kip, K.E. (2017). A randomized controlled trial of the effects of mindfulness-based stress reduction (MBSR[BC]) on levels of inflammatory biomarkers among recovering breast cancer survivors. //Biological Research for Nursing, 19//(4), 456-464. https://doi.org/10.1177/1099800417707268
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Grewen, K., Donaldson, G.W., & Nakamura, Y. (2015). An exploratory study of the effects of mind-body interventions targeting sleep on salivary oxytocin levels in cancer survivors. //Integrative Cancer Therapies, 14//(4), 366-380. https://doi.org/10.1177/1534735415580675
Carlson, L.E., Doll, R., Stephen, J., Faris, P., Tamagawa, R., Drysdale, E., ... & Speca, M. (2013). Randomized controlled trial of mindfulness-based cancer recovery versus supportive expressive group therapy for distressed survivors of breast cancer (mindset). //Journal of Clinical Oncology, 31//(25), 3119-3126. https://doi.org/10.1200/JCO.2012.47.5210
Carlson, L.E., Tamagawa, R., Stephen, J., Drysdale, E., Zhong, L.H., & Speca, M. (2016). Randomized-controlled trial of mindfulness-based cancer recovery versus supportive expressive group therapy among distressed breast cancer survivors (mindset): Long-term follow-up results. //Psycho-Oncology, 25//(7), 750-759. https://doi.org/10.1002/pon.4150
Lerman, R., Jarski, R., Rea, H., Gellish, R., & Vicini, F. (2012). Improving symptoms and quality of life of female cancer survivors: A randomized controlled study. //Annals of Surgical Oncology, 19//(2), 373-378. https://doi.org/10.1245/s10434-011-2051-2
Bower, J.E., Crosswell, A.D., Stanton, A.L., Crespi, C.M., Winston, D., Arevalo, J., ... & Ganz, P.A. (2015). Mindfulness meditation for younger breast cancer survivors: A randomized controlled trial. //Cancer, 121//(8), 1231-1240. https://doi.org/10.1002/cncr.29194
Chambers, S.K., Smith, D.P., Berry, M., Lepore, S.J., Foley, E., Clutton, S., ... & Gardiner, R.A. (2013). A randomised controlled trial of a mindfulness intervention for men with advanced prostate cancer. //BMC Cancer, 13//, 89. https://doi.org/10.1186/1471-2407-13-89
Zernicke, K.A., Campbell, T.S., Speca, M., McCabe-Ruff, K., Flowers, S., Dirkse, D.A., ... & Carlson, L.E. (2013). The eCALM Trial-eTherapy for cancer appLying mindfulness: Online mindfulness-based cancer recovery program for underserved individuals living with cancer in Alberta: Protocol development for a randomized wait-list controlled clinical trial. //BMC Complementary and Alternative Medicine, 13//, 34. https://doi.org/10.1186/1472-6882-13-34
Witek-Janusek, L., Albuquerque, K., Chroniak, K.R., Chroniak, C., Durazo-Arvizu, R., & Mathews, H.L. (2008). Effect of mindfulness based stress reduction on immune function, quality of life and coping in women newly diagnosed with early stage breast cancer. //Brain Behavior and Immunity, 22(6)//, 969-981. https://doi.org/10.1016/j.bbi.2008.01.012
Lesiuk, T. (2015). The effect of mindfulness-based music therapy on attention and mood in women receiving adjuvant chemotherapy for breast cancer: A pilot study. //Oncology Nursing Forum, 42(3)//, 276-282. https://doi.org/10.1188/15.ONF.276-282
Hoffman, C.J., Ersser, S.J., Hopkinson, J.B., Nicholls, P.G., Harrington, J.E., & Thomas, P.W. (2012). Effectiveness of mindfulness-based stress reduction in mood, breast- and endocrine-related quality of life, and well-being in stage 0 to iii breast cancer: A randomized, controlled trial. //Journal of Clinical Oncology, 30//(12), 1335-1342. https://doi.org/10.1200/JCO.2010.34.0331
Robb, S.W., Benson, K., Middleton, L., Meyers, C., & Hebert, J.R. (2015). Mindfulness-based stress reduction teachers, practice characteristics, cancer incidence, and health: A nationwide ecological description. //BMC Complementary and Alternative Medicine, 15//, 34. https://doi.org/10.1186/s12906-015-0545-3
Carlson, L.E., Speca, M., Patel, K.D., & Goodey, E. (2004). Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress and levels of cortisol, dehydroepiandrosterone sulfate (DHEAS) and melatonin in breast and prostate cancer outpatients. //Psychoneuroendocrinology, 29//(4), 448-474. https://doi.org/10.1016/S0306-4530(03)00054-4
Boyle, C.C., Stanton, A.L., Ganz, P.A., Crespi, C.M., & Bower, J.E. (2017). Improvements in emotion regulation following mindfulness meditation: Effects on depressive symptoms and perceived stress in younger breast cancer survivors. //Journal of Consulting and Clinical Psychology, 85//(4), 397-402. https://doi.org/10.1037/ccp0000186
Lengacher, C.A., Reich, R.R., Post-White, J., Moscoso, M., Shelton, M.M., Barta, M., ... & Budhrani, P. (2012). Mindfulness based stress reduction in post-treatment breast cancer patients: An examination of symptoms and symptom clusters. //Journal of Behavioral Medicine, 35//(1), 86-94. https://doi.org/10.1007/s10865-011-9346-4
Schellekens, M.P.J., Tamagawa, R., Labelle, L.E., Speca, M., Stephen, J., Drysdale, E., ... & Carlson, L.E. (2017). Mindfulness-based cancer recovery (MBCR) versus supportive expressive group therapy (SET) for distressed breast cancer survivors: Evaluating mindfulness and social support as mediators. //Journal of Behavioral Medicine, 40//(3), 414-422. https://doi.org/10.1007/s10865-016-9799-6
Carlson, L.E., Speca, M., Patel, K.D., & Goodey, E. (2003). Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress, and immune parameters in breast and prostate cancer outpatients. //Psychosomatic Medicine, 65//(4), 571-581. https://doi.org/10.1097/01.PSY.0000074003.35911.41
Carlson, L.E. (2016). Mindfulness-based interventions for coping with cancer. //Annals of the New York Academy of Sciences, 1373//, 5-12. https://doi.org/10.1111/nyas.13029
Brotto, L.A., Dunkley, C.R., Breckon, E., Carter, J., Brown, C., Daniluk, J., ... & Miller, D. (2017). Integrating quantitative and qualitative methods to evaluate an online psychoeducational program for sexual difficulties in colorectal and gynecologic cancer survivors. //Journal of Sex & Marital Therapy, 43//(7), 645-662. https://doi.org/10.1080/0092623X.2016.1230805
Krychman, M.L., & Katz, A. (2012). Breast cancer and sexuality: Multi‐modal treatment options (CME). //Journal of Sexual Medicine, 9//(1), 5-13. https://doi.org/10.1111/j.1743-6109.2011.02566.x
Johns, S.A., Brown, L.F., Beck-Coon, K., Talib, T.L., Monahan, P.O., Giesler, R.B., ... & Kroenke, K. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction compared to psychoeducational support for persistently fatigued breast and colorectal cancer survivors. //Supportive Care in Cancer, 24//(10), 4085-4096. https://doi.org/10.1007/s00520-016-3220-4
Reich, R.R., Lengacher, C.A., Alinat, C.B., Kip, K.E., Paterson, C., Ramesar, S., ... & Park, J. (2017). Mindfulness-based stress reduction in post-treatment breast cancer patients: Immediate and sustained effects across multiple symptom clusters. //Journal of Pain and Symptom Management, 53//(1), 85-95. https://doi.org/10.1016/j.jpainsymman.2016.08.005
Loizzo, J.J., Peterson, J.C., Charlson, M.E., Wolf, E.J., Altemus, M., Briggs, W.M., ... & Caputo, T.A. (2010). The effect of a contemplative self-healing program on quality of life in women with breast and gynecologic cancers. //Alternative Therapies in Health and Medicine, 16//(3), 30-37.
Spector, D., Battaglini, C., Alsobrooks, A., Owen, J., & Groff, D. (2012). Do breast cancer survivors increase their physical activity and enhance their health-related quality of life after attending community-based wellness workshops?. //Journal of Cancer Education, 27//(2), 353-361. https://doi.org/10.1007/s13187-011-0306-z
Lengacher, C.A., Kip, K.E., Post-White, J., Fitzgerald, S., Newton, C., Barta, M., ... & Klein, T.W. (2013). Lymphocyte recovery after breast cancer treatment and mindfulness-based stress reduction (MBSR) therapy. //Biological Research for Nursing, 15//(1), 37-47. https://doi.org/10.1177/1099800411419245
Sarenmalm, E.K., Martensson, L.B., Holmberg, S.B., Andersson, B.A., Oden, A., & Bergh, I. (2013). Mindfulness based stress reduction study design of a longitudinal randomized controlled complementary intervention in women with breast cancer. //BMC Complementary and Alternative Medicine, 13//, 248. https://doi.org/10.1186/1472-6882-13-248
Zernicke, K.A., Campbell, T.S., Speca, M., McCabe-Ruff, K., Flowers, S., & Carlson, L.E. (2014). A randomized wait-list controlled trial of feasibility and efficacy of an online mindfulness-based cancer recovery program: The etherapy for cancer applying mindfulness trial. //Psychosomatic Medicine, 76//(4), 257-267. https://doi.org/10.1097/PSY.0000000000000053
Lengacher, C.A., Reich, R.R., Kip, K.E., Paterson, C.L., Park, H.Y., Ramesar, S., ... & Park, J.Y. (2015). Moderating effects of genetic polymorphisms on improvements in cognitive impairment in breast cancer survivors participating in a 6-week mindfulness-based stress reduction program. //Biological Research for Nursing, 17//(4), 393-404. https://doi.org/10.1177/1099800415577633
Wakefield, C.E., Sansom-Daly, U.M., McGill, B.C., McCarthy, M., Girgis, A., Grootenhuis, M., ... & Cohn, R.J. (2015). Online parent-targeted cognitive-behavioural therapy intervention to improve quality of life in families of young cancer survivors: Study protocol for a randomised controlled trial. //Trials, 16//, 153. https://doi.org/10.1186/s13063-015-0681-6
Nakamura, Y., Lipschitz, D.L., Kuhn, R., Kinney, A.Y., & Donaldson, G.W. (2013). Investigating efficacy of two brief mind-body intervention programs for managing sleep disturbance in cancer survivors: A pilot randomized controlled trial. //Journal of Cancer Survivorship, 7//(2), 165-182. https://doi.org/10.1007/s11764-012-0252-8
Reich, R.R., Lengacher, C.A., Kip, K.E., Shivers, S.C., Schell, M.J., Shelton, M.M., ... & Klein, T.W. (2014). Baseline immune biomarkers as predictors of MBSR(BC) treatment success in off-treatment breast cancer patients. //Biological Research for Nursing, 16//(4), 429-437. https://doi.org/10.1177/1099800413519494
Hsiao, F.H., Jow, G.M., Kuo, W.H., Yang, P.S., Lam, H.B., Chang, K.J., ... & Chang, C.H. (2016). The long-term effects of mindfulness added to family resilience-oriented couples support group on psychological well-being and cortisol responses in breast cancer survivors and their partners. //Mindfulness, 7//(6), 1365-1376. https://doi.org/10.1007/s12671-016-0578-9
Lengacher, C.A., Shelton, M.M., Reich, R.R., Barta, M.K., Johnson-Mallard, V., Moscoso, M.S., ... & Kip, K.E. (2014). Mindfulness based stress reduction (MBSR(BC)) in breast cancer: Evaluating fear of recurrence (FOR) as a mediator of psychological and physical symptoms in a randomized control trial (RCT). //Journal of Behavioral Medicine, 37//(2), 185-195. https://doi.org/10.1007/s10865-012-9473-6
Lengacher, C.A., Reich, R.R., Kip, K.E., Barta, M., Ramesar, S., Paterson, C.L., ... & Park, J.Y. (2014). Influence of mindfulness-based stress reduction (MBSR) on telomerase activity in women with breast cancer (BC). //Biological Research for Nursing, 16//(4), 438-447. https://doi.org/10.1177/1099800413519495
Kiely, D., & Schwartz, S. (2016). Mindfulness as an intervention for breast cancer survivors. //Clinical Journal of Oncology Nursing, 20//(4), 357-359. https://doi.org/10.1188/16.CJON.357-359
Massion, A.O., Teas, J., Hebert, J.R., Wertheimer, M.D., & Kabatzinn, J. (1995). Meditation, melatonin and breast prostate-cancer - Hypothesis and preliminary data. //Medical Hypotheses, 44//(1), 39-46. https://doi.org/10.1016/0306-9877(95)90299-6
Huang, H.P., He, M., Wang, H.Y., & Zhou, M.J. (2016). A meta-analysis of the benefits of mindfulness-based stress reduction (MBSR) on psychological function among breast cancer (BC) survivors. //Breast Cancer, 23//(4), 568-576. https://doi.org/10.1007/s12282-015-0604-0
Black, D.S., Peng, C., Sleight, A.G., Nguyen, N., Lenz, H.J., & Figueiredo, J.C. (2017). Mindfulness practice reduces cortisol blunting during chemotherapy: A randomized controlled study of colorectal cancer patients. //Cancer, 123//(16), 3088-3096. https://doi.org/10.1002/cncr.30698
Carmody, J., Olendzki, B., Reed, G., Andersen, V., & Rosenzweig, P. (2008). A dietary intervention for recurrent prostate cancer after definitive primary treatment: Results of a randomized pilot trial. //Urology, 72//(6), 1324-1328. https://doi.org/10.1016/j.urology.2008.01.015
Reynolds, L.M., Bissett, I.P., Porter, D., & Consedine, N.S. (2017). A brief mindfulness intervention is associated with negative outcomes in a randomised controlled trial among chemotherapy patients. //Mindfulness, 8//(5), 1291-1303. https://doi.org/10.1007/s12671-017-0705-2
Rabin, C., Pinto, B., & Fava, J. (2016). Randomized trial of a physical activity and meditation intervention for young adult cancer survivors. //Journal of Adolescent and Young Adult Oncology, 5//(1), 41-47. https://doi.org/10.1089/jayao.2015.0033
Saxe, G.A., Hebert, J.R., Carmody, J.F., Kabat-Zinn, J., Rosenzweig, P.H., Jarzobski, D., ... & Blute, R.D. (2001). Can diet in conjunction with stress reduction affect the rate of increase in prostate specific antigen after biochemical recurrence of prostate cancer?. //Journal of Urology, 166//(6), 2202-2207. https://doi.org/10.1016/S0022-5347(05)65535-8
Johns, S.A., Von Ah, D., Brown, L.F., Beck-Coon, K., Talib, T.L., Alyea, J.M., ... & Giesler, R.B. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction for breast and colorectal cancer survivors: Effects on cancer-related cognitive impairment. //Journal of Cancer Survivorship, 10//(3), 437-448. https://doi.org/10.1007/s11764-015-0494-3
Lengacher, C.A., Kip, K.E., Reich, R.R., Craig, B.M., Mogos, M., Ramesar, S., ... & Pracht, E. (2015). A cost-effective mindfulness stress reduction program: A randomized control trial for breast cancer survivors. //Nursing Economics, 33//(4), 210-232.
Crane-Okada, R., Kiger, H., Sugerman, F., Uman, G.C., Shapiro, S.L., Wyman-McGinty, W., ... & Anderson, N.L.R. (2012). Mindful movement program for older breast cancer survivors a pilot study. //Cancer Nursing, 35//(4), E1-E13. https://doi.org/10.1097/NCC.0b013e3182280f73
Leydon, G.M., Eyles, C., & Lewith, G.T. (2012). A mixed methods feasibility study of mindfulness meditation for fatigue in women with metastatic breast cancer. //European Journal of Integrative Medicine, 4//(4), E429-E435. https://doi.org/10.1016/j.eujim.2012.05.003
Lengacher, C.A., Johnson-Mallard, V., Post-White, J., Moscoso, M.S., Jacobsen, P.B., Klein, T.W., ... & Kip, K.E. (2009). Randomized controlled trial of mindfulness‐based stress reduction (MBSR) for survivors of breast cancer. //Psycho-Oncology, 18//(12), 1261-1272. https://doi.org/10.1002/pon.1529
Biegler, K.A., Chaoul, M.A., & Cohen, L. (2009). Cancer, cognitive impairment, and meditation. //Acta Oncologica, 48//(1), 18-26. https://doi.org/10.1080/02841860802415535
Matheson, L., Boulton, M., Lavender, V., Collins, G., Mitchell-Floyd, T., & Watson, E. (2016). The experiences of young adults with Hodgkin lymphoma transitioning to survivorship: A grounded theory study. //Oncology Nursing Forum, 43//(5), E195-E204. https://doi.org/10.1188/16.ONF.E195-E2014
Garland, E.L., Beck, A.C., Lipschitz, D.L., & Nakamura, Y. (2015). Dispositional mindfulness predicts attenuated waking salivary cortisol levels in cancer survivors: A latent growth curve analysis. //Journal of Cancer Survivorship, 9//(2), 215-222. https://doi.org/10.1007/s11764-014-0402-2
Chambers, S.K., Foley, E., Clutton, S., McDowall, R., Occhipinti, S., Berry, M., ... & Smith, D.P. (2016). The role of mindfulness in distress and quality of life for men with advanced prostate cancer. //Quality of Life Research, 25//(12), 3027-3035. https://doi.org/10.1007/s11136-016-1341-3
Thornton, L.M., Levin, A.O., Dorfman, C.S., Godiwala, N., Heitzmann, C., & Andersen, B.L. (2014). Emotions and social relationships for breast and gynecologic patients: A qualitative study of coping with recurrence. //Psycho-Oncology, 23//(4), 382-389. https://doi.org/10.1002/pon.3429
Crane-Okada, R., Kiger, H., Anderson, N.L.R., Carroll-Johnson, R.M., Sugerman, F., Shapiro, S.L., ... & Wyman-McGinty, W. (2012). Participant perceptions of a mindful movement program for older women with breast cancer focus group results. //Cancer Nursing, 35//(3), E1-E10. https://doi.org/10.1097/NCC.0b013e31822539c5
Carson, J.W., Carson, K.M., Olsen, M.K., Sanders, L., & Porter, L.S. (2017). Mindful yoga for women with metastatic breast cancer: Design of a randomized controlled trial. //BMC Complementary and Alternative Medicine, 17//, 153. https://doi.org/10.1186/s12906-017-1672-9
Tamagawa, R., Speca, M., Stephen, J., Pickering, B., Lawlor-Savage, L., & Carlson, L.E. (2015). Predictors and effects of class attendance and home practice of yoga and meditation among breast cancer survivors in a mindfulness-based cancer recovery (MBCR) Program. //Mindfulness, 6//(5). 1201-1210. https://doi.org/10.1007/s12671-014-0381-4
Eyles, C., Leydon, G.M., Hoffman, C.J., Copson, E.R., Prescott, P., Chorozoglou, M., ... & Lewith, G. (2015). Mindfulness for the self-management of fatigue, anxiety, and depression in women with metastatic breast cancer: A mixed methods feasibility study. //Integrative Cancer Therapies, 14//(1), 42-56. https://doi.org/10.1177/1534735414546567
Mohabbat-Bahar, S., Maleki-Rizi, F., Akbari, M.E., & Moradi-Joo, M. (2015). Effectiveness of group training based on acceptance and commitment therapy on anxiety and depression of women with breast cancer. //Iranian Journal of Cancer Prevention, 8//(2), 71-76.
Wurtzen, H., Dalton, S.O., Elsass, P., Sumbundu, A.D., Steding-Jensen, M., Karlsen, R.V., ... & Johansen, C. (2013). Mindfulness significantly reduces self-reported levels of anxiety and depression: Results of a randomised controlled trial among 336 danish women treated for stage i-iii breast cancer. //European Journal of Cancer, 49//(6), 1365-1373. https://doi.org/10.1016/j.ejca.2012.10.030
Przezdziecki, A., & Sherman, K.A. (2016). Modifying affective and cognitive responses regarding body image difficulties in breast cancer survivors using a self-compassion-based writing intervention. //Mindfulness, 7//(5), 1142-1155. https://doi.org/10.1007/s12671-016-0557-1
Sarenmalm, E.K., Martensson, L.B., Andersson, B.A., Karlsson, P., & Bergh, I. (2017). Mindfulness and its efficacy for psychological and biological responses in women with breast cancer. //Cancer Medicine, 6//(5), 1108-1122. https://doi.org/10.1002/cam4.1052
Carlson, L.E., Zelinski, E.L., Speca, M., Balneaves, L.G., Jones, J.M., Mina, D.S., ... & Vohra, S. (2017). Protocol for the MATCH study (mindfulness and Tai Chi for cancer health): A preference-based multi-site randomized comparative effectiveness trial (CET) of mindfulness-based cancer recovery (MBCR) vs. Tai Chi/Qigong (TCQ) for cancer survivors. //Contemporary Clinical Trials, 59//, 64-76. https://doi.org/10.1016/j.cct.2017.05.015
Dobos, G., Overhamm, T., Bussing, A., Ostermann, T., Langhorst, J., Kummel, S., ... & Cramer, H. (2015). Integrating mindfulness in supportive cancer care: A cohort study on a mindfulness-based day care clinic for cancer survivors. //Supportive Care in Cancer, 23//(10), 2945-2955. https://doi.org/10.1007/s00520-015-2660-6
Garland, S.N., Johnson, J.A., Savard, J., Gehrman, P., Perlis, M., Carlson, L., ... & Campbell, T. (2014). Sleeping well with cancer: A systematic review of cognitive behavioral therapy for insomnia in cancer patients. //Neuropsychiatric Disease and Treatment, 10//, 1113-1124. https://doi.org/10.2147/NDT.S47790
Shapiro, S.L., Bootzin, R.R., Figueredo, A.J., Lopez, A.M., & Schwartz, G.E. (2003). The efficacy of mindfulness-based stress reduction in the treatment of sleep disturbance in women with breast cancer - An exploratory study. //Journal of Psychosomatic Research, 54//(1), 85-91. https://doi.org/10.1016/S0022-3999(02)00546-9
Zernicke, K.A., Campbell, T.S., Speca, M., Ruff, K.M., Flowers, S., Tamagawa, R., ... & Carlson, L.E. (2016). The eCALM trial: eTherapy for cancer applying mindfulness. Exploratory analyses of the associations between online mindfulness-based cancer recovery participation and changes in mood, stress symptoms, mindfulness, posttraumatic growth, and spirituality. //Mindfulness, 7//(5), 1071-1081. https://doi.org/10.1007/s12671-016-0545-5
Wurtzen, H., Dalton, S.O., Christensen, J., Andersen, K.K., Elsass, P., Flyger, H.L., ... & Johansen, C. (2015). Effect of mindfulness-based stress reduction on somatic symptoms, distress, mindfulness and spiritual wellbeing in women with breast cancer: Results of a randomized controlled trial. //Acta Oncologica, 54//(5), 712-719. https://doi.org/10.3109/0284186X.2014.997371
Thornton, L.M., Cheavens, J., Heitzmann, C.A., Dorfman, C.S., Wu, S.M., & Andersen, B.L. (2014). Test of mindfulness and hope components in a psychological intervention for women with cancer recurrence. //Journal of Consulting and Clinical Psychology, 82//(6), 1087-1100. https://doi.org/10.1037/a0036959
Carlson, L.E., Speca, M., Faris, P., & Patel, K.D. (2007). One year pre-post intervention follow-up of psychological, immune, endocrine and blood pressure outcomes of mindfulness-based stress reduction (MBSR) in breast and prostate cancer outpatients. //Brain Behavior and Immunity, 21//(8), 1038-1049. https://doi.org/10.1016/j.bbi.2007.04.002
Hawkes, A.L., Pakenham, K.I., Chambers, S.K., Patrao, T.A., & Courneya, K.S. (2014). Effects of a multiple health behavior change intervention for colorectal cancer survivors on psychosocial outcomes and quality of life: A randomized controlled trial. //Annals of Behavioral Medicine, 48//(3), 359-370. https://doi.org/10.1007/s12160-014-9610-2
Dodds, S.E., Pace, T.W.W., Bell, M.L., Fiero, M., Negi, L.T., Raison, C.L., ... & Weihs, K.L. (2015). Feasibility of cognitively-based compassion training (CBCT) for breast cancer survivors: A randomized, wait list controlled pilot study. //Supportive Care in Cancer, 23//(12), 3599-3608. https://doi.org/10.1007/s00520-015-2888-1
Arun, B., Austin, T., Babiera, G.V., Basen-Engquist, K., Carmack, C.L., Chaoul, A., ... & Yeung, S.C.J. (2017). A comprehensive lifestyle randomized clinical trial: Design and initial patient experience. //Integrative Cancer Therapies, 16//(1), 3-20. https://doi.org/10.1177/1534735416679516
Przezdziecki, A., Sherman, K.A., Baillie, A., Taylor, A., Foley, E., & Stalgis-Bilinski, K. (2013). My changed body: Breast cancer, body image, distress and self-compassion. //Psycho-Oncology, 22//(8), 1872-1879. https://doi.org/10.1002/pon.3230
Johannsen, M., O'Toole, M.S., O'Connor, M., Jensen, A.B., & Zachariae, R. (2017). Clinical and psychological moderators of the effect of mindfulness-based cognitive therapy on persistent pain in women treated for primary breast cancer - Explorative analyses from a randomized controlled trial. //Acta Oncologica, 56//(2), 321-328. https://doi.org/10.1080/0284186X.2016.1268713
Carlson, L.E., Ursuliak, Z., Goodey, E., Angen, M., & Speca, M. (2001). The effects of a mindfulness meditation-based stress reduction program on mood and symptoms of stress in cancer outpatients: 6-month follow-up. //Supportive Care in Cancer, 9//(2), 112-123. https://doi.org/10.1007/s005200000206
Mansky, P.J., & Wallerstedt, D.B. (2006). Complementary medicine in palliative care and cancer symptom management. //Cancer Journal, 12//(5), 425-431. https://doi.org/10.1097/00130404-200609000-00011
Sharplin, G.R., Jones, S.B.W., Hancock, B., Knott, V.E., Bowden, J.A., & Whitford, H.S. (2010). Mindfulness-based cognitive therapy: An efficacious community-based group intervention for depression and anxiety in a sample of cancer patients. //Medical Journal of Australia, 193//(5), S79-S82.
Wood, A.W., Gonzalez, J., & Barden, S.M. (2015). Mindful caring: Using mindfulness-based cognitive therapy with caregivers of cancer survivors. //Journal of Psychosocial Oncology, 33//(1), 66-84. https://doi.org/10.1080/07347332.2014.977418
Wurtzen, H., Dalton, S.O., Andersen, K.K., Elsass, P., Flyger, H.L., Sumbundu, A., ... & Johansen, C. (2013). Who participates in a randomized trial of mindfulness‐based stress reduction (MBSR) after breast cancer? A study of factors associated with enrollment among Danish breast cancer patients. //Psycho-Oncology, 22//(5), 1180-1185. https://doi.org/10.1002/pon.3094
Huang, J.Y., & Shi, L. (2016). The effectiveness of mindfulness-based stress reduction (MBSR) for survivors of breast cancer: Study protocol for a randomized controlled trial. //Trials, 17//, 209. https://doi.org/10.1186/s13063-016-1335-z
Stafford, L., Foley, E., Judd, F., Gibson, P., Kiropoulos, L., & Couper, J. (2013). Mindfulness-based cognitive group therapy for women with breast and gynecologic cancer: A pilot study to determine effectiveness and feasibility. //Supportive Care in Cancer, 21//(11), 3009-3019. https://doi.org/10.1007/s00520-013-1880-x
Melton, L.M. (2016). If I don't laugh, I'll cry: Exploring humor coping in breast cancer. //Journal of Psychosocial Oncology, 34//(6), 530-541. https://doi.org/10.1080/07347332.2016.1233926
Campo, R.A., Bluth, K., Santacroce, S.J., Knapik, S., Tan, J., Gold, S., ... & Asher, G.N. (2017). A mindful self-compassion videoconference intervention for nationally recruited posttreatment young adult cancer survivors: Feasibility, acceptability, and psychosocial outcomes. //Supportive Care in Cancer, 25//(6), 1759-1768. https://doi.org/10.1007/s00520-017-3586-y
Rotegard, A.K., Fagermoen, M.S., & Ruland, C.M. (2012). Cancer patients' experiences of their personal strengths through illness and recovery. //Cancer Nursing, 35//(1), E8-E17. https://doi.org/10.1097/NCC.0b013e3182116497
Garland, S.N., Rouleau, C.R., Campbell, T., Samuels, C., & Carlson, L.E. (2015). The comparative impact of mindfulness-based cancer recovery (MBCR) and cognitive behavior therapy for insomnia (CBT-I) on sleep and mindfulness in cancer patients. //Explore: The Journal of Science and Healing, 11//(6), 445-454. https://doi.org/10.1016/j.explore.2015.08.004
Schellekens, M.P.J., van den Hurk, D.G.M., Prins, J.B., Molema, J., Donders, A.R.T., Woertman, W.H., ... & Speckens, A.E.M. (2014). Study protocol of a randomized controlled trial comparing mindfulness-based stress reduction with treatment as usual in reducing psychological distress in patients with lung cancer and their partners: The MILON study. //BMC Cancer, 14//, 3. https://doi.org/10.1186/1471-2407-14-3
Kroz, M., Reif, M., Glinz, A., Berger, B., Nikolaou, A., Zerm, R., ... & Gutenbrunner, C. (2017). Impact of a combined multimodal-aerobic and multimodal intervention compared to standard aerobic treatment in breast cancer survivors with chronic cancer-related fatigue - Results of a three-armed pragmatic trial in a comprehensive cohort design. //BMC Cancer, 17//, 166. https://doi.org/10.1186/s12885-017-3142-7
Jang, S.H., Kang, S.Y., Lee, H.J., & Lee, S.Y. (2016). Beneficial effect of mindfulness-based art therapy in patients with breast cancer-a randomized controlled trial. //Explore: The Journal of Science and Healing, 12//(5), 333-340. https://doi.org/10.1016/j.explore.2016.06.003
Monti, D.A., Kash, K.M., Kunkel, E.J., Moss, A., Mathews, M., Brainard, G., ... & Newberg, A.B. (2013). Psychosocial benefits of a novel mindfulness intervention versus standard support in distressed women with breast cancer. //Psycho-Oncology, 22//(11), 2565-2575. https://doi.org/10.1002/pon.3320
Levy, A., & Cartwright, T. (2015). Men's strategies for preserving emotional well-being in advanced prostate cancer: An interpretative phenomenological analysis. //Psychology & Health, 30//(10), 1164-1182. https://doi.org/10.1080/08870446.2015.1040016
Patterson, P., & McDonald, F.E.J. (2015). Being mindful: Does it help adolescents and young adults who have completed cancer treatment?. //Journal of Pediatric Oncology Nursing, 32//(4), 189-194. https://doi.org/10.1177/1043454214563401
Tacon, A.M. (2011). Mindfulness: Existential, loss, and grief factors in women with breast cancer. //Journal of Psychosocial Oncology, 29//(6), 643-656. https://doi.org/10.1080/07347332.2011.615382
Garland, E.L., Thielking, P., Thomas, E.A., Coombs, M., White, S., Lombardi, J., ... & Beck, A. (2017). Linking dispositional mindfulness and positive psychological processes in cancer survivorship: A multivariate path analytic test of the mindfulness-to-meaning theory. //Psycho-Oncology, 26//(5), 686-692. https://doi.org/10.1002/pon.4065
Malboeuf-Hurtubise, C., Achille, M., Sultan, S., & Vadnais, M. (2013). Mindfulness-based intervention for teenagers with cancer: Study protocol for a randomized controlled trial. //Trials, 14//, 135. https://doi.org/10.1186/1745-6215-14-135
Henderson, V., Clemow, L., Massion, A., Hurley, T., Druker, S., & Hebert, J.R. (2012). The effects of mindfulness-based stress reduction on psychosocial outcomes and quality of life in early-stage breast cancer patients: A randomized trial. //Breast Cancer Research and Treatment, 131//(1), 99-109. https://doi.org/10.1007/s10549-011-1738-1
Victorson, D., Hankin, V., Burns, J., Weiland, R., Maletich, C., Sufrin, N., ... & Brendler, C. (2017). Feasibility, acceptability and preliminary psychological benefits of mindfulness meditation training in a sample of men diagnosed with prostate cancer on active surveillance: Results from a randomized controlled pilot trial. //Psycho-Oncology, 26//(8), 1155-1163. https://doi.org/10.1002/pon.4135
Carmody, J.F., Olendzki, B.C., Merriam, P.A., Liu, Q., Qiao, Y.X., & Ma, Y.S. (2012). A novel measure of dietary change in a prostate cancer dietary program incorporating mindfulness training. //Journal of the Academy of Nutrition and Dietetics, 112//(11), 1822-1827. https://doi.org/10.1016/j.jand.2012.06.008
Chambers, S.K., Hutchison, S., Clutton, S., & Dunn, J. (2014). Intervening to improve psychological outcomes after cancer: What is known and where next?. //Australian Psychologist, 49//(2), 96-103. https://doi.org/10.1111/ap.12044
van den Hurk, D.G.M., Schellekens, M.P.J., Molema, J., Speckens, A.E.M., & van der Drift, M.A. (2015). Mindfulness-based stress reduction for lung cancer patients and their partners: Results of a mixed methods pilot study. //Palliative Medicine, 29//(7), 652-660. https://doi.org/10.1177/0269216315572720
Liu, S., Qiu, G., & Louie, W. (2017). Use of mindfulness sitting meditation in chinese american women in treatment of cancer. //Integrative Cancer Therapies, 16//(1), 110-117. https://doi.org/10.1177/1534735416649661
Chambers, S.K., Foley, E., Galt, E., Ferguson, M., & Clutton, S. (2012). Mindfulness groups for men with advanced prostate cancer: A pilot study to assess feasibility and effectiveness and the role of peer support. //Supportive Care in Cancer, 20//(6), 1183-1192. https://doi.org/10.1007/s00520-011-1195-8
Matousek, R.H., & Dobkin, P.L. (2010). Weathering storms: A cohort study of how participation in a mindfulness-based stress reduction program benefits women after breast cancer treatment. //Current Oncology, 17//(4), 62-70.
Hebert, J.R., Ebbeling, C.B., Olendzki, B.C., Hurley, T.G., Ma, Y.S., Saal, N., ... & Clemow, L. (2001). Change in women's diet and body mass following intensive intervention for early-stage breast cancer. //Journal of the American Dietetic Association, 101//(4), 421-431. https://doi.org/10.1016/S0002-8223(01)00109-2
Black, D.S., Li, M.J., Ihenacho, U., Nguyen, N.T., Reyes, M.D., Milam, J., ... & Figueiredo, J.C. (2016). Shared health characteristics in Hispanic colorectal cancer patients and their primary social support person following primary diagnosis. //Psycho-Oncology, 25//(9), 1028-1035. https://doi.org/10.1002/pon.3938
Brotto, L.A., Erskine, Y., Carey, M., Ehlen, T., Finlayson, S., Heywood, M., ... & Miller, D. (2012). A brief mindfulness-based cognitive behavioral intervention improves sexual functioning versus wait-list control in women treated for gynecologic cancer. //Gynecologic Oncology, 125//(2), 320-325. https://doi.org/10.1016/j.ygyno.2012.01.035
Jensen, C.G., Elsass, P., Neustrup, L., Bihal, T., Flyger, H., Kay, S.M., ... & Wurtzen, H. (2014). What to listen for in the consultation. breast cancer patients' own focus on talking about acceptance-based psychological coping predicts decreased psychological distress and depression. //Patient Education and Counseling, 97//(2), 165-172. https://doi.org/10.1016/j.pec.2014.07.020
Henderson, V.P., Massion, A.O., Clemow, L., Hurley, T.G., Druker, S., & Hebert, J.R. (2013). A randomized controlled trial of mindfulness-based stress reduction for women with early-stage breast cancer receiving radiotherapy. //Integrative Cancer Therapies, 12//(5), 404-413. https://doi.org/10.1177/1534735412473640
Johnston, D. (2012). Mindfulness: A proposed couple-based intervention for the altered self-identity of breast cancer survivors. //Mindfulness, 3//(4), 282-290. https://doi.org/10.1007/s12671-012-0093-6
Shao, D., Gao, W., & Cao, F.L. (2016). Brief psychological intervention in patients with cervical cancer: A randomized controlled trial. //Health Psychology, 35//(12), 1383-1391. https://doi.org/10.1037/hea0000407
Lipschitz, D.L., Kuhn, R., Kinney, A.Y., Donaldson, G.W., & Nakamura, Y. (2013). Reduction in salivary alpha-amylase levels following a mind-body intervention in cancer survivors - An exploratory study. //Psychoneuroendocrinology, 38//(9), 1521-1531. https://doi.org/10.1016/j.psyneuen.2012.12.021
Milbury, K., Chaoul, A., Biegler, K., Wangyal, T., Spelman, A., Meyers, C.A., ... & Cohen, L. (2013). Tibetan sound meditation for cognitive dysfunction: Results of a randomized controlled pilot trial. //Psycho-Oncology, 22//(10), 2354-2363. https://doi.org/10.1002/pon.3296
Van der Gucht, K., Takano, K., Labarque, V., Vandenabeele, K., Nolf, N., Kuylen, S., ... & Raes, F. (2017). A mindfulness-based intervention for adolescents and young adults after cancer treatment: Effects on quality of life, emotional distress, and cognitive vulnerability. //Journal of Adolescent and Young Adult Oncology, 6//(2), 307-317. https://doi.org/10.1089/jayao.2016.0070
Reynolds, L.M., Bissett, I.P., Porter, D., & Consedine, N.S. (2016). The "ICK" factor matters: Disgust prospectively predicts avoidance in chemotherapy patients. //Annals of Behavioral Medicine, 50//(6), 935-945. https://doi.org/10.1007/s12160-016-9820-x
Tacon, A.M., & McComb, J. (2009). Mindful exercise, quality of life, and survival: A mindfulness-based exercise program for women with breast cancer. //Journal of Alternative and Complementary Medicine, 15//(1), 41-46. https://doi.org/10.1089/acm.2008.0255
Paul, A., Cramer, H., Lauche, R., Altner, N., Langhorst, J., & Dobos, G.J. (2013). An oncology mind-body medicine day care clinic: Concept and case presentation. //Integrative Cancer Therapies, 12//(6), 503-507. https://doi.org/10.1177/1534735412473639
Brotto, L.A., Heiman, J.R., Goff, B., Greer, B., Lentz, G.M., Swisher, E., ... & Van Blaricom, A. (2008). A psychoeducational intervention for sexual dysfunction in women with gynecologic cancer. //Archives of Sexual Behavior, 37//(2), 317-329. https://doi.org/10.1007/s10508-007-9196-x
Garland, S.N., Carlson, L.E., Antle, M.C., Samuels, C., & Campbell, T. (2011). I-CAN SLEEP: Rationale and design of a non-inferiority RCT of mindfulness-based stress reduction and cognitive behavioral therapy for the treatment of insomnia in cancer survivors. //Contemporary Clinical Trials, 32//(5), 747-754. https://doi.org/10.1016/j.cct.2011.05.014
Wolvers, M.D.J., Bruggeman-Everts, F.Z., Van der Lee, M.L., Van de Schoot, R., & Vollenbroek-Hutten, M.M.R. (2015). Effectiveness, mediators, and effect predictors of internet interventions for chronic cancer-related fatigue: The design and an analysis plan of a 3-armed randomized controlled trial. //JMIR Research Protocols, 4//(2), e77. https://doi.org/10.2196/resprot.4363
Jones, P., Blunda, M., Biegel, G., Carlson, L.E., Biel, M., & Wiener, L. (2013). Can mindfulness-based interventions help adolescents with cancer?. //Psycho-Oncology, 22//(9), 2148-2151. https://doi.org/10.1002/pon.3251
Poulin, P.A., Romanow, H.C., Rahbari, N., Small, R., Smyth, C.E., Hatchard, T., ... & Wilson, K.G. (2016). The relationship between mindfulness, pain intensity, pain catastrophizing, depression, and quality of life among cancer survivors living with chronic neuropathic pain. //Supportive Care in Cancer, 24//(10), 4167-4175. https://doi.org/10.1007/s00520-016-3243-x
Spahn, G., Choi, K.E., Kennemann, C., Ludtke, R., Franken, U., Langhorst, J., ... & Dobos, G.J. (2013). Can a multimodal mind-body program enhance the treatment effects of physical activity in breast cancer survivors with chronic tumor-associated fatigue? A randomized controlled trial. //Integrative Cancer Therapies, 12//(4), 291-300. https://doi.org/10.1177/1534735413492727
Schellekens, M.P.J., Jansen, E.T.M., Willemse, H.H.M.A., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2016). A qualitative study on mindfulness-based stress reduction for breast cancer patients: How women experience participating with fellow patients. //Supportive Care in Cancer, 24//(4), 1813-1820. https://doi.org/10.1007/s00520-015-2954-8
Andersen, S.R., Wurtzen, H., Steding-Jessen, M., Christensen, J., Andersen, K.K., Flyger, H., ... & Dalton, S.O. (2013). Effect of mindfulness-based stress reduction on sleep quality: Results of a randomized trial among danish breast cancer patients. //Acta Oncologica, 52//(2), 336-344. https://doi.org/10.3109/0284186X.2012.745948
Johns, S.A., Brown, L.F., Beck-Coon, K., Monahan, P.O., Tong, Y., & Kroenke, K. (2015). Randomized controlled pilot study of mindfulness-based stress reduction for persistently fatigued cancer survivors. //Psycho-Oncology, 24//(8), 885-893. https://doi.org/10.1002/pon.3648
Monti, D.A., Kash, K.M., Kunkel, E.J.S., Brainard, G., Wintering, N., Moss, A.S., ... & Newberg, A.B. (2012). Changes in cerebral blood flow and anxiety associated with an 8-week mindfulness programme in women with breast cancer. //Stress and Health, 28//(5), 397-407. https://doi.org/10.1002/smi.2470
Lotzke, D., Wiedemann, F., Recchia, D.R., Ostermann, T., Sattler, D., Ettl, J., ... & Bussing, A. (2016). Iyengar-yoga compared to exercise as a therapeutic intervention during (Neo)adjuvant therapy in women with stage I–III breast cancer: Health-related quality of life, mindfulness, spirituality, life satisfaction, and cancer-related fatigue. //Evidence-based Complementary and Alternative Medicine, 2006//, 5931816. https://doi.org/10.1155/2016/5931816
Altschuler, A., Rosenbaum, E., Gordon, P., Canales, S., & Avins, A.L. (2012). Audio recordings of mindfulness-based stress reduction training to improve cancer patients' mood and quality of life-a pilot feasibility study. //Supportive Care in Cancer, 20//(6), 1291-1297. https://doi.org/10.1007/s00520-011-1216-7
Labelle, L.E., Campbell, T.S., Faris, P., & Carlson, L.E. (2015). Mediators of mindfulness‐based stress reduction (MBSR): Assessing the timing and sequence of change in cancer patients. //Journal of Clinical Psychology, 71//(1), 21-40. https://doi.org/10.1002/jclp.22117
Bisseling, E.M., Schellekens, M.P.J., Jansen, E.T.M., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2017). Mindfulness-based stress reduction for breast cancer patients: A mixed method study on what patients experience as a suitable stage to participate. //Supportive Care in Cancer, 25//(10), 3067-3074. https://doi.org/10.1007/s00520-017-3714-8
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
Stafford, L., Thomas, N., Foley, E., Judd, F., Gibson, P., Komiti, A., ... & Kiropoulos, L. (2015). Comparison of the acceptability and benefits of two mindfulness-based interventions in women with breast or gynecologic cancer: A pilot study. //Supportive Care in Cancer, 23//(4), 1063-1071. https://doi.org/10.1007/s00520-014-2442-6
Zhang, J.Y., Zhou, Y.Q., Feng, Z.W., Fan, Y.N., & Zeng, G.C. (2017). Randomized controlled trial of mindfulness-based stress reduction (MBSR) on posttraumatic growth of Chinese breast cancer survivors. //Psychology Health & Medicine, 22//(1), 94-109. https://doi.org/10.1080/13548506.2016.1146405
Sleight, A., & Clark, F. (2015). Unlocking the core self: Mindful occupation for cancer survivorship. //Journal of Occupational Science, 22//(4), 477-487. https://doi.org/10.1080/14427591.2015.1008025
Thomas, R., Quinlan, E., Kowalski, K., Spriggs, P., & Hamoline, R. (2014). Beyond the body insights from an Iyengar yoga program for women with disability after breast cancer. //Holistic Nursing Practice, 28//(6), 353-361. https://doi.org/10.1097/HNP.0000000000000049
Fish, J.A., Ettridge, K., Sharplin, G.R., Hancock, B., & Knott, V.E. (2014). Mindfulness-based cancer stress management: Impact of a mindfulness-based programme on psychological distress and quality of life. //European Journal of Cancer care, 23//(3), 413-421. https://doi.org/10.1111/ecc.12136
Tamagawa, R., Giese-Davis, J., Speca, M., Doll, R., Stephen, J., & Carlson, L.E. (2013). Trait mindfulness, repression, suppression, and self-reported mood and stress symptoms among women with breast cancer. //Journal of Clinical Psychology, 69//(3), 264-277. https://doi.org/10.1002/jclp.21939
Garlick, M., Wall, K., Corwin, D., & Koopman, C. (2011). Psycho-spiritual integrative therapy for women with primary breast cancer. //Journal of Clinical Psychology in Medical Settings, 18//(1), 78-90. https://doi.org/10.1007/s10880-011-9224-9
Matchim, Y., Armer, J.M., & Stewart, B.R. (2011). Effects of mindfulness-based stress reduction (MBSR) on health among breast cancer survivors. //Western Journal of Nursing Research, 33//(8), 996-1016. https://doi.org/10.1177/0193945910385363
Lehto, R.H., & Wyatt, G. (2013). Perceptions about using mindfulness therapy a lung cancer focus group study. //Cancer Nursing, 36//(4), E51-E60. https://doi.org/10.1097/NCC.0b013e31826d2f16
Ho, R.T.H., Wan, A.H.Y., Chan, J.S.M., Ng, S.M., Chung, K.F., & Chan, C.L.W. (2017). Study protocol on comparative effectiveness of mindfulness meditation and Qigong on psychophysiological outcomes for patients with colorectal cancer: A randomized controlled trial. //BMC Complementary and Alternative Medicine, 17//, 390. https://doi.org/10.1186/s12906-017-1898-6
Bidin, L., Pigaiani, L., Casini, M., Seghini, P., & Cavanna, L. (2016). Feasibility of a trial with Tibetan singing bowls, and suggested benefits in metastatic cancer patients. A pilot study in an Italian oncology unit. //European Journal of Integrative Medicine, 8//(5), 747-755. https://doi.org/10.1016/j.eujim.2016.06.003
Johannsen, M., O'Connor, M., O'Toole, M.S., Jensen, A.B., Hojris, I., & Zachariae, R. (2016). Efficacy of mindfulness-based cognitive therapy on late post-treatment pain in women treated for primary breast cancer: A randomized controlled trial. //Journal of Clinical Oncology, 34//(28), 3390-3399. https://doi.org/10.1200/JCO.2015.65.0770
Tacon, A.M. (2003). Meditation as a complementary therapy in cancer. //Family & Community Health, 26//(1), 64-73. http://dx.doi.org/10.1097/00003727-200301000-00008
Kvillemo, P., & Branstrom, R. (2014). Coping with breast cancer: A meta-analysis. //PLOS ONE, 9//(11), e112733. https://doi.org/10.1371/journal.pone.0112733
Cohen, M., & Fried, G. (2007). Comparing relaxation training and cognitive-behavioral group therapy for women with breast cancer. //Research on Social Work Practice, 17//(3), 313-323. https://doi.org/10.1177/1049731506293741
Malboeuf-Hurtubise, C., Achille, M., Muise, L., Beauregard-Lacroix, R., Vadnais, M., & Lacourse, E. (2016). A mindfulness-based meditation pilot study: Lessons learned on acceptability and feasibility in adolescents with cancer. //Journal of Child and Family Studies, 25//(4), 1168-1177. https://doi.org/10.1007/s10826-015-0299-z
Garland, S.N., Carlson, L.E., Cook, S., Lansdell, L., & Speca, M. (2007). A non-randomized comparison of mindfulness-based stress reduction and healing arts programs for facilitating post-traumatic growth and spirituality in cancer outpatients. //Supportive Care in Cancer, 15//(8), 949-961. https://doi.org/10.1007/s00520-007-0280-5
Speca, M., Carlson, L.E., Goodey, E., & Angen, M. (2000). A randomized, wait-list controlled clinical trial: The effect of a mindfulness meditation-based stress reduction program on mood and symptoms of stress in cancer outpatients. //Psychosomatic Medicine, 62//(5), 613-622.
Pollard, A., Burchell, J.L., Castle, D., Neilson, K., Ftanou, M., Corry, J., ... & Couper, J. (2017). Individualised mindfulness-based stress reduction for head and neck cancer patients undergoing radiotherapy of curative intent: A descriptive pilot study. //European Journal of Cancer Care, 26//(2), e12474. https://doi.org/10.1111/ecc.12474
Fenlon, D.R., Khambhaita, P., & Hunter, M.S. (2015). Helping patients to help themselves after breast cancer treatment. //Clinical Oncology, 27//(11), 640-646. https://doi.org/10.1016/j.clon.2015.05.002
Lee, C.E., Kim, S., Kim, S., Joo, H.M., & Lee, S. (2017). Effects of a mindfulness-based stress reduction program on the physical and psychological status and quality of life in patients with metastatic breast cancer. //Holistic Nursing Practice, 31//(4), 260-269. https://doi.org/10.1097/HNP.0000000000000220
Reynolds, L.M., Consedine, N.S., Pizarro, D.A., & Bissett, I.P. (2013). Disgust and behavioral avoidance in colorectal cancer screening and treatment: A systematic review and research agenda. //Cancer Nursing, 36//(2), 122-130. https://doi.org/10.1097/NCC.0b013e31826a4b1b
Carlson, L.E., & Bultz, B.D. (2008). Mind-body interventions in oncology. //Current Treatment Options in Oncology, 9//(2-3), 127-134. https://doi.org/10.1007/s11864-008-0064-2
[img[tps36.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Yao, Y.W., Chen, P.R., Li, C.S.R., Hare, T.A., Li, S., Zhang, J.T., ... & Fang, X.Y. (2017). Combined reality therapy and mindfulness meditation decrease intertemporal decisional impulsivity in young adults with internet gaming disorder. //Computers in Human Behavior, 68//, 210-216. https://doi.org/10.1016/j.chb.2016.11.038
Mason, L., O'Sullivan, N., Blackburn, M., Bentall, R., & El-Deredy, W. (2012). I want it now! Neural correlates of hypersensitivity to immediate reward in hypomania. //Biological Psychiatry, 71//(6), 530-537. https://doi.org/10.1016/j.biopsych.2011.10.008
Garland, E.L., Hanley, A.W., Thomas, E.A., Knoll, P., & Ferraro, J. (2015). Low dispositional mindfulness predicts self-medication of negative emotion with prescription opioids. //Journal of Addiction Medicine, 9//(1), 61-67. https://doi.org/10.1097/ADM.0000000000000090
Garland, E.L., Froeliger, B., & Howard, M.O. (2014). Effects of mindfulness-oriented recovery enhancement on reward responsiveness and opioid cue-reactivity. //Psychopharmacology, 231//(16), 3229-3238. https://doi.org/10.1007/s00213-014-3504-7
Kirk, U., Brown, K.W., & Downar, J. (2015). Adaptive neural reward processing during anticipation and receipt of monetary rewards in mindfulness meditators. //Social Cognitive and Affective Neuroscience, 10//(5), 752-759. https://doi.org/10.1093/scan/nsu112
Eilender, P., Ketchen, B., Maremmani, I., Saenger, M., & Fareed, A. (2016). Treatment approaches for patients with opioid use disorder and chronic noncancer pain: A literature review. //Addictive Disorders & Their Treatment, 15//(2), 85-98. https://doi.org/10.1097/ADT.0000000000000078
Stotts, A.L., Green, C., Masuda, A., Grabowski, J., Wilson, K., Northrup, T.F., ... & Schmitz, J.M. (2012). A stage I pilot study of acceptance and commitment therapy for methadone detoxification. //Drug and Alcohol Dependence, 125//(3), 215-222. https://doi.org/10.1016/j.drugalcdep.2012.02.015
Leece, P., Cavacuiti, C., Macdonald, E.M., Gomes, T., Kahan, M., Srivastava, A., ... & Juurlink, D.N. (2015). Predictors of opioid-related death during methadone therapy. //Journal of Substance Abuse Treatment, 57//, 30-35. https://doi.org/10.1016/j.jsat.2015.04.008
Garland, E.L., Manusov, E.G., Froeliger, B., Kelly, A., Williams, J.M., & Howard, M.O. (2014). Mindfulness-oriented recovery enhancement for chronic pain and prescription opioid misuse: Results from an early-stage randomized controlled trial. //Journal of Consulting and Clinical Psychology, 82//(3), 448-459. https://doi.org/10.1037/a0035798
Garland, E.L., Bryan, C.J., Finan, P.H., Thomas, E.A., Priddy, S.E., Riquino, M.R., ... & Howard, M.O. (2017). Pain, hedonic regulation, and opioid misuse: Modulation of momentary experience by Mindfulness-Oriented Recovery Enhancement in opioid-treated chronic pain patients. //Drug and Alcohol Dependence, 173//, S65-S72. https://doi.org/10.1016/j.drugalcdep.2016.07.033
Murphy, C., & MacKillop, J. (2012). Living in the here and now: Interrelationships between impulsivity, mindfulness, and alcohol misuse. //Psychopharmacology, 219//(2), 527-536. https://doi.org/10.1007/s00213-011-2573-0
Garland, E.L., Froeliger, B., & Howard, M.O. (2015). Neurophysiological evidence for remediation of reward processing deficits in chronic pain and opioid misuse following treatment with Mindfulness-Oriented Recovery Enhancement: Exploratory ERP findings from a pilot RCT. //Journal of Behavioral Medicine, 38//(2), 327-336. https://doi.org/10.1007/s10865-014-9607-0
Thomas, E.A., & Garland, E.L. (2017). Mindfulness is associated with increased hedonic capacity among chronic pain patients receiving extended opioid pharmacotherapy. //Clinical Journal of Pain, 33//(2), 166-173. https://doi.org/10.1097/AJP.0000000000000379
Reid, R.C., Bramen, J.E., Anderson, A., & Cohen, M.S. (2014). Mindfulness, emotional dysregulation, impulsivity, and stress proneness among hypersexual patients. //Journal of Clinical Psychology, 70//(4), 313-321. https://doi.org/10.1002/jclp.22027
Lattimore, P., Fisher, N., & Malinowski, P. (2011). A cross-sectional investigation of trait disinhibition and its association with mindfulness and impulsivity. //Appetite, 56//(2), 241-248. https://doi.org/10.1016/j.appet.2010.12.007
Lyvers, M., Hinton, R., Gotsis, S., Roddy, M., Edwards, M.S., & Thorberg, F.A. (2014). Traits linked to executive and reward systems functioning in clients undergoing residential treatment for substance dependence. //Personality and Individual Differences, 70//, 194-199. https://doi.org/10.1016/j.paid.2014.07.004
Rice, F., Rawal, A., Riglin, L., Lewis, G., Lewis, G., & Dunsmuir, S. (2015). Examining reward-seeking, negative self-beliefs and over-general autobiographical memory as mechanisms of change in classroom prevention programs for adolescent depression. //Journal of Affective Disorders, 186//, 320-327. https://doi.org/10.1016/j.jad.2015.07.019
Wilson, J.D., Vo, H., Matson, P., Adger, H., Barnett, G., & Fishman, M. (2017). Trait mindfulness and progression to injection use in youth with opioid addiction. //Substance Use & Misuse, 52//(11), 1486-1493. https://doi.org/10.1080/10826084.2017.1289225
Garland, E.L. (2016). Restructuring reward processing with mindfulness-oriented recovery enhancement: Novel therapeutic mechanisms to remediate hedonic dysregulation in addiction, stress, and pain. //Annals of the New York Academy of Sciences, 1373//, 25-37. https://doi.org/10.1111/nyas.13034
De Leo, J.A., Van Dam, N.T., Hobkirk, A.L., & Earleywine, M. (2011). Examining bias in the impulsive sensation seeking (ImpSS) Scale using Differential Item Functioning (DIF) – An item response analysis. //Personality and Individual Differences, 50//(5), 570-576. https://doi.org/10.1016/j.paid.2010.11.030
Hendrickson, K.L., & Rasmussen, E.B. (2013). Effects of mindful eating training on delay and probability discounting for food and money in obese and healthy-weight individuals. //Behaviour Research and Therapy, 51//(7), 399-409. https://doi.org/10.1016/j.brat.2013.04.002
Kirk, U., & Montague, P.R. (2015). Mindfulness meditation modulates reward prediction errors in a passive conditioning task. //Frontiers in Psychology, 6//, 90. https://doi.org/10.3389/fpsyg.2015.00090
Staiger, P.K., Dawe, S., Richardson, B., Hall, K., & Kambouropoulos, N. (2014). Modifying the risk associated with an impulsive temperament: A prospective study of drug dependence treatment. //Addictive Behaviors, 39//(11), 1676-1681. https://doi.org/10.1016/j.addbeh.2014.05.001
Carter, K., & Olshan-Perlmutter, M. (2015). Impulsivity and stillness: NADA, pharmaceuticals, and psychotherapy in substance use and other DSM 5 Disorders. //Behavioral Sciences, 5//(4), 537-546. https://doi.org/10.3390/bs5040537
Zgierska, A.E., Burzinski, C.A., Cox, J., Kloke, J., Singles, J., Mirgain, S., ... & Backonja, M. (2016). Mindfulness meditation-based intervention is feasible, acceptable, and safe for chronic low back pain requiring long-term daily opioid therapy. //Journal of Alternative and Complementary Medicine, 22//(8), 610-620. https://doi.org/10.1089/acm.2015.0314
Imani, S., Vahid, M.K.A., Gharraee, B., Habibi, M., Bowen, S., & Noroozi, A. (2015). Comparing mindfulness-based group therapy with treatment as usual for opioid dependents: A pilot randomized clinical trial study protocol. //Iranian Journal of Psychiatry and Behavioral Sciences, 9//(1). https://doi.org/10.5812/ijpbs.216
Li, W., Garland, E.L., McGovern, P., O'Brien, J.E., Tronnier, C., & Howard, M.O. (2017). Mindfulness-oriented recovery enhancement for internet gaming disorder in us adults: A stage I randomized controlled trial. //Psychology of Addictive Behaviors, 31//(4), 393-402. https://doi.org/10.1037/adb0000269
Leung, L., Han, H., Martin, M., & Kotecha, J. (2015). Mindfulness-based stress reduction (MBSR) as sole intervention for non-somatisation chronic non-cancer pain (CNCP): Protocol for a systematic review and meta-analysis of randomised controlled trials. //BMJ Open, 5//(5), e007650. https://doi.org/10.1136/bmjopen-2015-007650
Ashe, M.L., Newman, M.G., & Wilson, S.J. (2015). Delay discounting and the use of mindful attention versus distraction in the treatment of drug addiction: A conceptual review. //Journal of the Experimental Analysis of Behavior, 103//(1), 234-248. https://doi.org/10.1002/jeab.122
Vinci, C., Peltier, M., Waldo, K., Kinsaul, J., Shah, S., Coffey, S.F., ... & Copeland, A.L. (2016). Examination of trait impulsivity on the response to a brief mindfulness intervention among college student drinkers. //Psychiatry Research, 242//, 365-374. https://doi.org/10.1016/j.psychres.2016.04.115
Mantzios, M. (2014). Exploring the relationship between worry and impulsivity in military recruits: The role of mindfulness and self-compassion as potential mediators. //Stress and Health, 30//(5), 397-404. https://doi.org/10.1002/smi.2617
Teper, R., & Inzlicht, M. (2014). Mindful acceptance dampens neuroaffective reactions to external and rewarding performance feedback. //Emotion, 14//(1), 105-114. https://doi.org/10.1037/a0034296
Kirk, U., Gu, X., Harvey, A.H., Fonagyd, P., & Montague, P.R. (2014). Mindfulness training modulates value signals in ventromedial prefrontal cortex through input from insular cortex. //Neuroimage, 100//, 254-262. https://doi.org/10.1016/j.neuroimage.2014.06.035
[img[tps37.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Reynolds, A., Keough, M.T., & O'Connor, R.M. (2015). Is being mindful associated with reduced risk for internally-motivated drinking and alcohol use among undergraduates?. //Addictive Behaviors, 42//, 222-226. https://doi.org/10.1016/j.addbeh.2014.11.027
Brett, E.I., Leffingwell, T.R., & Leavens, E.L. (2017). Trait mindfulness and protective strategies for alcohol use: Implications for college student drinking. //Addictive Behaviors, 73//, 16-21. https://doi.org/10.1016/j.addbeh.2017.04.011
Garland, E.L. (2011). Trait mindfulness predicts attentional and autonomic regulation of alcohol cue-reactivity. //Journal of Psychophysiology, 25//(4), 180-189. https://doi.org/10.1027/0269-8803/a000060
Garland, E.L., Franken, I.H.A., & Howard, M.O. (2012). Cue-elicited heart rate variability and attentional bias predict alcohol relapse following treatment. //Psychopharmacology, 222//(1), 17-26. https://doi.org/10.1007/s00213-011-2618-4
Harris, J.S., Stewart, D.G., & Stanton, B.C. (2017). Urge surfing as aftercare in adolescent alcohol use: A randomized control trial. //Mindfulness, 8//(1), 144-149. https://doi.org/10.1007/s12671-016-0588-7
Bravo, A.J., & Pearson, M.R. (2017). In the process of drinking to cope among college students: An examination of specific vs. global coping motives for depression and anxiety symptoms. //Addictive Behaviors, 73//, 94-98. https://doi.org/10.1016/j.addbeh.2017.05.001
Vinci, C., Spears, C.A., Peltier, M.R., & Copeland, A.L. (2016). Drinking motives mediate the relationship between facets of mindfulness and problematic alcohol use. //Mindfulness, 7//(3), 754-763. https://doi.org/10.1007/s12671-016-0515-y
Karyadi, K.A., & Cyders, M.A. (2015). Elucidating the association between trait mindfulness and alcohol use behaviors among college students. //Mindfulness, 6//(6), NA-1249. https://doi.org/10.1007/s12671-015-0386-7
Witkiewitz, K., Vowles, K.E., McCallion, E., Frohe, T., Kirouac, M., & Maisto, S.A. (2015). Pain as a predictor of heavy drinking and any drinking lapses in the combine study and the uk alcohol treatment trial. //Addiction, 110//(8). https://doi.org/10.1111/add.12964
Garland, E.L., Brown, S., & Howard, M.O. (2015). Traumatic experiences and reduced alcohol self-efficacy in alcohol dependent inpatients: Attentional and autonomic mediators. //Klinik Psikofarmakoloji Bulteni-bulletin of Clinical Psychopharmacology, 25//(4), 355-364. https://doi.org/10.5455/bcp.20150502072931
Ostafin, B.D., Bauer, C., & Myxter, P. (2012). Mindfulness decouples the relation between automatic alcohol motivation and heavy drinking. //Journal of Social and Clinical Psychology, 31//(7), 729-745.
Shorey, R.C., Stuart, G.L., Moore, T.M., & McNulty, J.K. (2014). The temporal relationship between alcohol, marijuana, angry affect, and dating violence perpetration: A daily diary study with female college students. //Psychology of Addictive Behaviors, 28//(2), 516-523. https://doi.org/10.1037/a0034648
McPherson, A., & Harris, L.M. (2015). Mindfulness, explicit and implicit alcohol expectancies in alcohol dependent and non-alcohol dependent adults. //International Journal of Mental Health and Addiction, 13//(4), NA-469. https://doi.org/10.1007/s11469-014-9538-6
Roos, C.R., Pearson, M.R., & Brown, D.B. (2015). Drinking motives mediate the negative associations between mindfulness facets and alcohol outcomes among college students. //Psychology of Addictive Behaviors, 29//(1), 176-183. https://doi.org/10.1037/a0038529
Dulin, P.L., & Gonzalez, V.M. (2017). Smartphone-based, momentary intervention for alcohol cravings amongst individuals with an alcohol use disorder. //Psychology of Addictive Behaviors, 31//(5), 601-607. https://doi.org/10.1037/adb0000292
Hallgren, M., Romberg, K., Bakshi, A.S., & Andreasson, S. (2014). Yoga as an adjunct treatment for alcohol dependence: A pilot study. //Complementary Therapies in Medicine, 22//(3), 441-445. https://doi.org/10.1016/j.ctim.2014.03.003
Clerkin, E.M., Sarfan, L.D., Parsons, E.M., & Magee, J.C. (2017). Mindfulness facets, social anxiety, and drinking to cope with social anxiety: Testing mediators of drinking problems. //Mindfulness, 8//(1), 159-170. https://doi.org/10.1007/s12671-016-0589-6
Adams, C.E., Cano, M.A., Heppner, W.L., Stewart, D.W., Correa-Fernandez, V., Vidrine, J.I., ... & Wetter, D.W. (2015). Testing a Moderated Mediation Model of Mindfulness, Psychosocial Stress, and Alcohol Use Among African American Smokers. //Mindfulness, 6//(2), 315-325. https://doi.org/10.1007/s12671-013-0263-1
Garland, E.L., Boettiger, C.A., Gaylord, S., Chanon, V.W., & Howard, M.O. (2012). Mindfulness is inversely associated with alcohol attentional bias among recovering alcohol-dependent adults. //Cognitive Therapy and Research, 36//(5), 441-450. https://doi.org/10.1007/s10608-011-9378-7
Stasiewicz, P.R., Bradizza, C.M., Schlauch, R.C., Coffey, S.F., Gulliver, S.B., Gudleski, G.D., ... & Bole, C.W. (2013). Affect regulation training (art) for alcohol use disorders: Development of a novel intervention for negative affect drinkers. //Journal of Substance Abuse Treatment, 45//(5), 433-443. https://doi.org/10.1016/j.jsat.2013.05.012
Murphy, C., & MacKillop, J. (2012). Living in the here and now: Interrelationships between impulsivity, mindfulness, and alcohol misuse. //Psychopharmacology, 219//(2), 527-536. https://doi.org/10.1007/s00213-011-2573-0
Dvorak, R.D., Sargent, E.M., Kilwein, T.M., Stevenson, B.L., Kuvaas, N.J., & Williams, T.J. (2014). Alcohol use and alcohol-related consequences: Associations with emotion regulation difficulties. //American Journal of Drug and Alcohol Abuse, 40//(2), 125-130. https://doi.org/10.3109/00952990.2013.877920
Ostafin, B.D., Kassman, K.T., & Wessel, I. (2013). Breaking the cycle of desire: Mindfulness and executive control weaken the relation between an implicit measure of alcohol valence and preoccupation with alcohol-related thoughts. //Psychology of Addictive Behaviors, 27//(4), 1153-1158. https://doi.org/10.1037/a0032621
Schellhas, L., Ostafin, B.D., Palfai, T.P., & de Jong, P.J. (2016). How to think about your drink: Action-identification and the relation between mindfulness and dyscontrolled drinking. //Addictive Behaviors, 56//, 51-56. https://doi.org/10.1016/j.addbeh.2016.01.007
Mohatt, G.V., Rasmus, S.M., Thomas, L., Allen, J., Hazel, K., & Marlatt, G.A. (2008). Risk, resilience, and natural recovery: A model of recovery from alcohol abuse for Alaska natives. //Addiction, 103//(2), 205-215. https://doi.org/10.1111/j.1360-0443.2007.02057.x
Bodenlos, J.S., Noonan, M., & Wells, S.Y. (2013). Mindfulness and alcohol problems in college students: The mediating effects of stress. //Journal of American College Health, 61//(6), 371-378. https://doi.org/10.1080/07448481.2013.805714
Stasiewicz, P.R., Bradizza, C.M., Gudleski, G.D., Coffey, S.F., Schlauch, R.C., Bailey, S.T., ... & Gulliver, S.B. (2012). The relationship of alexithymia to emotional dysregulation within an alcohol dependent treatment sample. //Addictive Behaviors, 37//(4), 469-476. https://doi.org/10.1016/j.addbeh.2011.12.011
Becker, A., Ehret, A.M., & Kirsch, P. (2017). From the neurobiological basis of comorbid alcohol dependence and depression to psychological treatment strategies: Study protocol of a randomized controlled trial. //BMC Psychiatry, 17//. https://doi.org/10.1186/s12888-017-1324-0
Garland, E.L., Boettiger, C.A., & Howard, M.O. (2011). Targeting cognitive-affective risk mechanisms in stress-precipitated alcohol dependence: An integrated, biopsychosocial model of automaticity, allostasis, and addiction. //Medical Hypotheses, 76//(5), 745-754. https://doi.org/10.1016/j.mehy.2011.02.014
Farris, S.R., Ostafin, B.D., & Palfai, T.P. (2010). Distractibility moderates the relation between automatic alcohol motivation and drinking behavior. //Psychology of Addictive Behaviors, 24//(1), 151-156. https://doi.org/10.1037/a0018294
Bowen, S., Witkiewitz, K., Clifasefi, S.L., Grow, J., Chawla, N., Hsu, S.H., ... & Larimer, M.E. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders. //JAMA Psychiatry, 71//(5), 547-556. https://doi.org/10.1001/jamapsychiatry.2013.4546
Fernandez, A.C., Wood, M.D., Stein, L.A.R., & Rossi, J.S. (2010). Measuring mindfulness and examining its relationship with alcohol use and negative consequences. //Psychology of Addictive Behaviors, 24//(4), 608-616. https://doi.org/10.1037/a0021742
Levin, M.E., Lillis, J., Seeley, J., Hayes, S.C., Pistorello, J., & Biglan, A. (2012). Exploring the relationship between experiential avoidance, alcohol use disorders, and alcohol-related problems among first-year college students. //Journal of American College Health, 60//(6), 443-448. https://doi.org/10.1080/07448481.2012.673522
Leigh, J., & Neighbors, C. (2009). Enhancement motives mediate the positive association between mind/body awareness and college student drinking. //Journal of Social and Clinical Psychology, 28//(5), 650-669.
Murphy, C.M., & MacKillop, J. (2014). Mindfulness as a strategy for coping with cue-elicited cravings for alcohol: An experimental examination. //Alcoholism-clinical and Experimental Research, 38//(4), 1134-1142. https://doi.org/10.1111/acer.12322
Vinci, C., Peltier, M.R., Shah, S., Kinsaul, J., Waldo, K., McVay, M.A., ... & Copeland, A.L. (2014). Effects of a brief mindfulness intervention on negative affect and urge to drink among college student drinkers. //Behaviour Research and Therapy, 59//, 82-93. https://doi.org/10.1016/j.brat.2014.05.012
Libby, D.J., Worhunsky, P.D., Pilver, C.E., & Brewer, J.A. (2012). Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes. //Frontiers in Human Neuroscience, 6//. https://doi.org/10.3389/fnhum.2012.00054
Ostafin, B.D., & Marlatt, G.A. (2008). Surfing the urge: Experiential acceptance moderates the relation between automatic alcohol motivation and hazardous drinking. //Journal of Social and Clinical Psychology, 27//(4), 404-418. https://doi.org/10.1521/jscp.2008.27.4.404
de Timary, P., Uva, M.C.D., Denoel, C., Hebborn, L., Derely, M., Desseilles, M., ... & Luminet, O. (2013). The associations between self-consciousness, depressive state and craving to drink among alcohol dependent patients undergoing protracted withdrawal. //PLOS ONE, 8//(8). https://doi.org/10.1371/journal.pone.0071560
Stein, L.A.R., Lebeau, R., Colby, S.M., Barnett, N.P., Golembeske, C., & Monti, P.M. (2011). Motivational interviewing for incarcerated adolescents: Effects of depressive symptoms on reducing alcohol and marijuana use after release. //Journal of Studies on Alcohol and Drugs, 72//(3), 497-506.
Bravo, A.J., Pearson, M.R., Stevens, L.E., & Henson, J.M. (2016). Depressive symptoms and alcohol-related problems among college students: A moderated-mediated model of mindfulness and drinking to cope. //Journal of Studies on Alcohol and Drugs, 77//(4), 661-666.
Kashdan, T.B., Ferssizidis, P., Collins, R.L., & Muraven, M. (2010). Emotion differentiation as resilience against excessive alcohol use: An ecological momentary assessment in underage social drinkers. //Psychological Science, 21//(9), 1341-1347. https://doi.org/10.1177/0956797610379863
Vujanovic, A.A., Bonn-Miller, M.O., & Marlatt, G.A. (2011). Posttraumatic stress and alcohol use coping motives among a trauma-exposed community sample: The mediating role of non-judgmental acceptance. //Addictive Behaviors, 36//(7), 707-712. https://doi.org/10.1016/j.addbeh.2011.01.033
Blume, A.W. (2012). Seeking the middle way: G. Alan Marlatt and harm reduction. //Addiction Research & Theory, 20//(3), 218-226. https://doi.org/10.3109/16066359.2012.657281
Poncin, M., Neumann, A., Luminet, O., Vande Weghe, N., Philippot, P., & de Timary, P. (2015). Disease recognition is related to specific autobiographical memory deficits in alcohol-dependence. //Psychiatry Research, 230//(2), 157-164. https://doi.org/10.1016/j.psychres.2015.08.031
Christopher, M., Ramsey, M., & Antick, J. (2013). The role of dispositional mindfulness in mitigating the impact of stress and impulsivity on alcohol-related problems. //Addiction Research & Theory, 21//(5), 429-434. https://doi.org/10.3109/16066359.2012.737873
Gallagher, K.E., Hudepohl, A.D., & Parrott, D.J. (2010). Power of being present: The role of mindfulness on the relation between men's alcohol use and sexual aggression toward intimate partners. //Aggressive Behavior, 36//(6), 405-413. https://doi.org/10.1002/ab.20351
Zgierska, A., Rabago, D., Zuelsdroff, M., Coe, C., Miller, M., & Fleming, M. (2008). Mindfulness meditation for alcohol relapse prevention: A feasibility pilot study. //Journal of Addiction Medicine, 2//(3), 165-173. https://doi.org/10.1097/ADM.0b013e31816f8546
Schneider, B.C., Moritz, S., Hottenrott, B., Reimer, J., Andreou, C., & Jelinek, L. (2016). Association splitting: A randomized controlled trial of a new method to reduce craving among inpatients with alcohol dependence. //Psychiatry Research, 238//, 310-317. https://doi.org/10.1016/j.psychres.2016.02.051
Garland, E.L., Gaylord, S.A., Boettiger, C.A., & Howard, M.O. (2010). Mindfulness training modifies cognitive, affective, and physiological mechanisms implicated in alcohol dependence: Results of a randomized controlled pilot trial. //Journal of Psychoactive Drugs, 42//(2), 177-192. https://doi.org/10.1080/02791072.2010.10400690
Brooks, M., Kay-Lambkin, F., Bowman, J., & Childs, S. (2012). Self-compassion amongst clients with problematic alcohol use. //Mindfulness, 3//(4), 308-317. https://doi.org/10.1007/s12671-012-0106-5
de Dios, M.A., Herman, D.S., Britton, W.B., Hagerty, C.E., Anderson, B.J., & Stein, M.D. (2012). Motivational and mindfulness intervention for young adult female marijuana users. //Journal of Substance Abuse Treatment, 42//(1), 56-64. https://doi.org/10.1016/j.jsat.2011.08.001
Vieten, C., Astin, J.A., Buscemi, R., & Galloway, G.P. (2010). Development of an acceptance-based coping intervention for alcohol dependence relapse prevention. //Substance Abuse, 31//(2), 108-116. https://doi.org/10.1080/08897071003641594
Mermelstein, L.C., & Garske, J.P. (2015). A brief mindfulness intervention for college student binge drinkers: A pilot study. //Psychology of Addictive Behaviors, 29//(2), 259-269. https://doi.org/10.1037/adb0000040
Vinci, C., Peltier, M., Waldo, K., Kinsaul, J., Shah, S., Coffey, S.F., ... & Copeland, A.L. (2016). Examination of trait impulsivity on the response to a brief mindfulness intervention among college student drinkers. //Psychiatry Research, 242//, 365-374. https://doi.org/10.1016/j.psychres.2016.04.115
[img[tps38.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Cram, W.A., & Newell, S. (2016). Mindful revolution or mindless trend? Examining agile development as a management fashion. //European Journal of Information Systems, 25//(2), 154-169. https://doi.org/10.1057/ejis.2015.13
Vidgen, R., & Wang, X.F. (2009). Coevolving systems and the organization of agile software development. //Information Systems Research, 20//(3), 355-376. https://doi.org/10.1287/isre.1090.0237
Dyche, L., & Epstein, R.M. (2011). Curiosity and medical education. //Medical Education, 45//(7), 663-668. https://doi.org/10.1111/j.1365-2923.2011.03944.x
Hechanova, R.M., Ramos, P.A.P., & Waelde, L. (2015). Group-based mindfulness-informed psychological first aid after typhoon Haiyan. //Disaster Prevention and Management, 24//(5), 610-618. https://doi.org/10.1108/DPM-01-2015-0015
Kanchi, V.S. (2016). Was the original lokayata a 'live-in-the-present' spiritualistic school?: An alternative perspective. //Journal of Indian Council of Philosophical Research, 33//(3), 385-405. https://doi.org/10.1007/s40961-016-0063-9
Jackson-Grossblat, A., Carbonell, N., & Waite, D. (2016). The therapeutic effects upon dog owners who interact with their dogs in a mindful way. //Journal of Humanistic Psychology, 56//(2), 144-170. https://doi.org/10.1177/0022167814559390
Ven, K., & Verelst, J. (2008). The impact of ideology on the organizational adoption of open source software. //Journal of Database Management, 19//(2), 58-72. https://doi.org/10.4018/jdm.2008040103
Marszal, M., & Gorska, D. (2015). The regulative function of mentalization and mindfulness in borderline personality organization. //Current Issues in Personality Psychology, 3//(1), 51-63. https://doi.org/10.5114/cipp.2015.50208
Eriksen, C., & Ditrich, T. (2015). The relevance of mindfulness practice for trauma-exposed disaster researchers. //Emotion Space and Society, 17//, 63-69. https://doi.org/10.1016/j.emospa.2015.07.004
Henry, C.L., & Crowley, S.L. (2015). The psychological and physiological effects of using a therapy dog in mindfulness training. //Anthrozoos, 28//(3), 385-401. https://doi.org/10.1080/08927936.2015.1052272
Salani, D., Albuja, L.D., & Azaiza, K. (2016). The keys to success in doctoral studies: A preimmersion course. //Journal of Professional Nursing, 32//(5), 358-363. https://doi.org/10.1016/j.profnurs.2016.01.005
Kashdan, T.B., Sherman, R.A., Yarbro, J., & Funder, D.C. (2013). How are curious people viewed and how do they behave in social situations? From the perspectives of self, friends, parents, and unacquainted observers. //Journal of Personality, 81//(2), 142-154. https://doi.org/10.1111/j.1467-6494.2012.00796.x
Kashdan, T.B., Gallagher, M.W., Silvia, P.J., Winterstein, B.P., Breen, W.E., Terhar, D., ... & Steger, M.F. (2009). The Curiosity and Exploration Inventory-II: Development, factor structure, and psychometrics. //Journal of Research in Personality, 43//(6), 987-998. https://doi.org/10.1016/j.jrp.2009.04.011
McAvoy, J., Nagle, T., & Sammon, D. (2013). Using mindfulness to examine ISD agility. //Information Systems Journal, 23//(2), 155-172. https://doi.org/10.1111/j.1365-2575.2012.00405.x
Mikocka-Walus, A.A., Ahl, A., Gordon, A.L., & Andrews, J.M. (2016). A cognitive behavioural therapy booklet for anxiety in functional gastrointestinal disorders: Patient and health practitioner perspectives. //Psychotherapy Research, 26//(2), 164-177. https://doi.org/10.1080/10503307.2014.958598
Howes, M. (2016). Challenging fitness ideology: Why an adventurous approach to physical activity is better for well-being. //Sport Ethics and Philosophy, 10//(2), 132-147. https://doi.org/10.1080/17511321.2016.1142468
Kashdan, T.B., Afram, A., Brown, K.W., Birnbeck, M., & Drvoshanov, M. (2011). Curiosity enhances the role of mindfulness in reducing defensive responses to existential threat. //Personality and Individual Differences, 50//(8), 1227-1232. https://doi.org/10.1016/j.paid.2011.02.015
Coget, J.F., & Keller, E. (2010). The critical decision vortex: Lessons from the emergency room. //Journal of Management Inquiry, 19//(1), 56-67. https://doi.org/10.1177/1056492609357009
Campo, R.A., Bluth, K., Santacroce, S.J., Knapik, S., Tan, J., Gold, S., ... & Asher, G.N. (2017). A mindful self-compassion videoconference intervention for nationally recruited posttreatment young adult cancer survivors: Feasibility, acceptability, and psychosocial outcomes. //Supportive Care in Cancer, 25//(6), 1759-1768. https://doi.org/10.1007/s00520-017-3586-y
Crews, D., & Besthorn, F.H. (2016). Ecosocialwork and transformed consciousness: Reflections on eco-mindfulness engagement with the silence of the natural world. //Journal of Religion and Spirituality in Social Work, 35//(1-2), 91-107. https://doi.org/10.1080/15426432.2015.1067588
Hechanova, M.R.M., Waelde, L.C., & Ramos, P.A.P. (2016). Evaluation of a group-based resilience intervention for typhoon Haiyan survivors. //Journal of Pacific Rim Psychology, 10//. https://doi.org/10.1017/prp.2016.9
Naber, C.M., Water-Schmeder, O., Bohrer, P.S., Matonak, K., Bernstein, A.L., & Merchant, M.A. (2011). Interdisciplinary treatment for vestibular dysfunction: The effectiveness of mindfulness, cognitive-behavioral techniques, and vestibular rehabilitation. //Otolaryngology-Head and Neck Surgery, 145//(1), 117-124. https://doi.org/10.1177/0194599811399371
Masuda, A., & Wendell, J.W. (2010). Mindfulness mediates the relation between disordered eating-related cognitions and psychological distress. //Eating Behaviors, 11//(4), 293-296. https://doi.org/10.1016/j.eatbeh.2010.07.001
Shearer, A., Hunt, M., Chowdhury, M., & Nicol, L. (2016). Effects of a brief mindfulness meditation intervention on student stress and heart rate variability. //International Journal of Stress Management, 23//(2), 232-254. https://doi.org/10.1037/a0039814
Perrow, C. (2011). Fukushima and the inevitability of accidents. //Bulletin of the Atomic Scientists, 67//(6), 44-52. https://doi.org/10.1177/0096340211426395
Ireland, M.J., Clough, B., Gill, K., Langan, F., O'Connor, A., & Spencer, L. (2017). A randomized controlled trial of mindfulness to reduce stress and burnout among intern medical practitioners. //Medical Teacher, 39//(4), 409-414. https://doi.org/10.1080/0142159X.2017.1294749
Somerville, R., McKenzie, K., Eslami, S., Breen, C., O'Shea, D., & Wall, P. (2015). Poor mental health in severely obese patients is not explained by the presence of comorbidities. //Clinical Obesity, 5//(1), 12-21. https://doi.org/10.1111/cob.12081
[img[tps39.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Chen, Y.S., Chang, C.H., & Lin, Y.H. (2014). Green transformational leadership and green performance: The mediation effects of green mindfulness and green self-efficacy. //Sustainability, 6//(10), 6604-6621. https://doi.org/10.3390/su6106604
Chen, Y.S., Chang, C.H., Yeh, S.L., & Cheng, H.I. (2015). Green shared vision and green creativity: The mediation roles of green mindfulness and green self-efficacy. //Quality & Quantity, 49//(3), 1169-1184. https://doi.org/10.1007/s11135-014-0041-8
Atchley, R., Klee, D., Memmott, T., Goodrich, E., Wahbeh, H., & Oken, B. (2016). Event-related potential correlates of mindfulness meditation competence. //Neuroscience, 320//, 83-92. https://doi.org/10.1016/j.neuroscience.2016.01.051
Hadash, Y., Segev, N., Tanay, G., Goldstein, P., & Bernstein, A. (2016). The decoupling model of equanimity: Theory, measurement, and test in a mindfulness intervention. //Mindfulness, 7//(5), 1214-1226. https://doi.org/10.1007/s12671-016-0564-2
Zougkou, K., Weinstein, N., & Paulmann, S. (2017). ERP correlates of motivating voices: Quality of motivation and time-course matters. //Social Cognitive and Affective Neuroscience, 12//(10), 1687-1700. https://doi.org/10.1093/scan/nsx064
Lannin, D.G., Bittner, K.E., & Lorenz, F.O. (2013). Longitudinal effect of defensive denial on relationship instability. //Journal of Family Psychology, 27//(6), 968-977. https://doi.org/10.1037/a0034694
Cahn, B.R., & Polich, J. (2009). Meditation (Vipassana) and the P3a event-related brain potential. //International Journal of Psychophysiology, 72//(1), 51-60. https://doi.org/10.1016/j.ijpsycho.2008.03.013
Delgado-Pastor, L.C., Perakakis, P., Subramanya, P., Telles, S., & Vila, J. (2013). Mindfulness (Vipassana) meditation: Effects on P3b event-related potential and heart rate variability. //International Journal of Psychophysiology, 90//(2), 207-214. https://doi.org/10.1016/j.ijpsycho.2013.07.006
Strauss, C., Rosten, C., Hayward, M., Lea, L., Forrester, E., & Jones, A.M. (2015). Mindfulness-based exposure and response prevention for obsessive compulsive disorder: Study protocol for a pilot randomised controlled trial. //Trials, 16//, 167. https://doi.org/10.1186/s13063-015-0664-7
Schoenberg, P.L.A., Hepark, S., Kan, C.C., Barendregt, H.P., Buitelaar, J.K., & Speckens, A.E.M. (2014). Effects of mindfulness-based cognitive therapy on neurophysiological correlates of performance monitoring in adult attention-deficit/hyperactivity disorder. //Clinical Neurophysiology, 125//(7), 1407-1416. https://doi.org/10.1016/j.clinph.2013.11.031
Niemiec, C.P., Brown, K.W., Kashdan, T.B., Cozzolino, P.J., Breen, W.E., Levesque-Bristol, C., ... & Ryan, R.M. (2010). Being present in the face of existential threat: The role of trait mindfulness in reducing defensive responses to mortality salience. //Journal of Personality and Social Psychology, 99//(2), 344-365. https://doi.org/10.1037/a0019388
Sobolewski, A., Holt, E., Kublik, E., & Wrobel, A. (2011). Impact of meditation on emotional processing—A visual ERP study. //Neuroscience Research, 71//(1), 44-48. https://doi.org/10.1016/j.neures.2011.06.002
Desbordes, G., Gard, T., Hoge, E.A., Holzel, B., Kerr, C., Lazar, S.W., ... & Vago, D.R. (2015). Moving beyond mindfulness: Defining equanimity as an outcome measure in meditation and contemplative research. //Mindfulness, 6//(2), 356-372. https://doi.org/10.1007/s12671-013-0269-8
Zeng, X.L., Oei, T.P.S., Ye, Y.Q., & Liu, X.P. (2015). A critical analysis of the concepts and measurement of awareness and equanimity in Goenka’s vipassana meditation. //Journal of Religion & Health, 54//(2), 399-412. https://doi.org/10.1007/s10943-013-9796-9
Ho, N.S.P., Sun, D.L., Ting, K.H., Chan, C.C.H., & Lee, T.M.C. (2015). Mindfulness trait predicts neurophysiological reactivity associated with negativity bias: An ERP study. //Evidence-based Complementary and Alternative Medicine//, 212368. https://doi.org/10.1155/2015/212368
Sanger, K.L., & Dorjee, D. (2016). Mindfulness training with adolescents enhances metacognition and the inhibition of irrelevant stimuli: Evidence from event-related brain potentials. //Trends in Neuroscience and Education, 5//(1), 1-11. https://doi.org/10.1016/j.tine.2016.01.001
Lakey, C.E., Kernis, M.H., Heppner, W.L., & Lance, C.E. (2008). Individual differences in authenticity and mindfulness as predictors of verbal defensiveness. //Journal of Research in Personality, 42//(1), 230-238. https://doi.org/10.1016/j.jrp.2007.05.002
Howells, F.M., Rauch, H.G.L., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2014). Mindfulness based cognitive therapy may improve emotional processing in bipolar disorder: Pilot ERP and HRV study. //Metabolic Brain Disease, 29//(2), 367-375. https://doi.org/10.1007/s11011-013-9462-7
Boyd, P., Morris, K.L., & Goldenberg, J.L. (2017). Open to death: A moderating role of openness to experience in terror management. //Journal of Experimental Social Psychology, 71//, 117-127. https://doi.org/10.1016/j.jesp.2017.03.003
Kashdan, T.B., Afram, A., Brown, K.W., Birnbeck, M., & Drvoshanov, M. (2011). Curiosity enhances the role of mindfulness in reducing defensive responses to existential threat. //Personality and Individual Differences, 50//(8), 1227-1232. https://doi.org/10.1016/j.paid.2011.02.015
Szekeres, R.A., & Wertheim, E.H. (2015). Evaluation of Vipassana meditation course effects on subjective stress, well-being, self-kindness and mindfulness in a community sample: Post-course and 6-month outcomes. //Stress and Health, 31//(5), 373-381. https://doi.org/10.1002/smi.2562
Lin, Y.L., Fisher, M.E., Roberts, S.M.M., & Moser, J.S. (2016). Deconstructing the emotion regulatory properties of mindfulness: An electrophysiological investigation. //Frontiers in Human Neuroscience, 10//, 457. https://doi.org/10.3389/fnhum.2016.00451
Biedermann, B., de Lissa, P., Mahajan, Y., Polito, V., Badcock, N., Connors, M.H., ... & McArthur, G. (2016). Meditation and auditory attention: An ERP study of meditators and non-meditators. //International Journal of Psychophysiology, 109//, 63-70. https://doi.org/10.1016/j.ijpsycho.2016.09.016
Larson, M.J., Steffen, P.R., & Primosch, M. (2013). The impact of a brief mindfulness meditation intervention on cognitive control and error-related performance monitoring. //Frontiers in Human Neuroscience, 7//, 308. https://doi.org/10.3389/fnhum.2013.00308
Cheng, K.S., Chang, Y.F., Han, R.P.S., & Lee, P.F. (2017). Enhanced conflict monitoring via a short-duration, video-assisted deep breathing in healthy young adults: An event-related potential approach through the Go/NoGo paradigm. //PeerJ, 5//, e3857. https://doi.org/10.7717/peerj.3857
Eddy, M.D., Brunye, T.T., Tower-Richardi, S., Mahoney, C.R., & Taylor, H.A. (2015). The effect of a brief mindfulness induction on processing of emotional images: an ERP study. //Frontiers in Psychology, 6//, 1391. https://doi.org/10.3389/fpsyg.2015.01391
Zeng, X.L., Oei, T.P.S., & Liu, X.P. (2014). Monitoring emotion through body sensation: A review of awareness in Goenka’s Vipassana. //Journal of Religion & Health, 53//(6), 1693-1705. https://doi.org/10.1007/s10943-013-9754-6
Reva, N.V., Pavlov, S.V., Loktev, K.V., Korenyok, V.V., & Aftanas, L.I. (2014). Influence of long-term Sahaja Yoga meditation practice on emotional processing in the brain: An ERP study. //Neuroscience, 281//, 195-201. https://doi.org/10.1016/j.neuroscience.2014.09.053
Netterstrom, B., Friebel, L., & Ladegaard, Y. (2013). Effects of a multidisciplinary stress treatment programme on patient return to work rate and symptom reduction: Results from a randomised, wait-list controlled trial. //Psychotherapy and Psychosomatics, 82//(3), 177-186. https://doi.org/10.1159/000346369
Brown, K.W., Goodman, R.J., & Inzlicht, M. (2013). Dispositional mindfulness and the attenuation of neural responses to emotional stimuli. //Social Cognitive and Affective Neuroscience, 8//(1), 93-99. https://doi.org/10.1093/scan/nss004
Chow, T., Javan, T., Ros, T., & Frewen, P. (2017). EEG dynamics of mindfulness meditation versus alpha neurofeedback: A sham-controlled study. //Mindfulness, 8//(3), 572-584. https://doi.org/10.1007/s12671-016-0631-8
Emavardhana, T., & Tori, C.D. (1997). Changes in self-concept, ego defense mechanisms, and religiosity following seven-day Vipassana meditation retreats. //Journal for the Scientific Study of Religion, 36//(2), 194-206. https://doi.org/10.2307/1387552
Uusberg, H., Uusberg, A., Talpsep, T., & Paaver, M. (2016). Mechanisms of mindfulness: The dynamics of affective adaptation during open monitoring. //Biological Psychology, 118//, 94-106. https://doi.org/10.1016/j.biopsycho.2016.05.004
van der Riet, P. (2011). Vipassana meditation: One woman's narrative. //Collegian, 18//(1), 36-42. https://doi.org/10.1016/j.colegn.2010.10.002
Pattanashetty, R., Sathiamma, S., Talakkad, S., Nityananda, P., Trichur, R., & Kutty, B.M. (2010). Practitioners of Vipassana meditation exhibit enhanced slow wave sleep and rem sleep states across different age groups. //Sleep and Biological Rhythms, 8//(1), 34-41. https://doi.org/10.1111/j.1479-8425.2009.00416.x
Eichel, K., & Stahl, J. (2017). The role of mindfulness and emotional stability in error detection. //Mindfulness, 8//(2), 311-324. https://doi.org/10.1007/s12671-016-0601-1
Carvalho, A. (2017). Ecologies of the self in practice - meditation, affect and ecosophy. //Geografiska Annaler Series B-human Geography, 99//(2), 207-222. https://doi.org/10.1080/04353684.2017.1306970
Braboszcz, C., Cahn, B.R., Levy, J., Fernandez, M., & Delorme, A. (2017). Increased gamma brainwave amplitude compared to control in three different meditation traditions. //PLOS ONE, 12//(1), e0170647. https://doi.org/10.1371/journal.pone.0170647
Zeng, X.L., Li, M.D., Zhang, B., & Liu, X.P. (2015). Revision of the Philadelphia Mindfulness Scale for measuring awareness and equanimity in Goenka’s Vipassana meditation with Chinese Buddhists. //Journal of Religion & Health, 54//(2), 623-637. https://doi.org/10.1007/s10943-014-9870-y
[img[tps4.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kim, S. (2014). Does a money-is-all attitude cause alienation? A cross-cultural comparison of Korea, the US and Sweden. //International Journal of Consumer Studies, 38//(6), 650-659. https://doi.org/10.1111/ijcs.12137
Adelstein, S.A., & Lee, U.J. (2016). The role of mindfulness in urinary urgency symptoms. //Current Bladder Dysfunction Reports, 11//(1), 38-44. https://doi.org/10.1007/s11884-016-0348-5
Mrazek, M.D., Phillips, D.T., Franklin, M.S., Broadway, J.M., & Schooler, J.W. (2013). Young and restless: Validation of the Mind-Wandering Questionnaire (MWQ) reveals disruptive impact of mind-wandering for youth. //Frontiers in Psychology, 4//,560. https://doi.org/10.3389/fpsyg.2013.00560
Baker, J., Costa, D., & Nygaard, I. (2012). Mindfulness-based stress reduction for treatment of urinary urge incontinence: A pilot study. //Female Pelvic Medicine and Reconstructive Surgery, 18//(1), 46-49. https://doi.org/10.1097/SPV.0b013e31824107a6
Vess, M., Leal, S.A., Hoeldtke, R.T., Schlegel, R.J., & Hicks, J.A. (2016). True self-alienation positively predicts reports of mindwandering. //Consciousness and Cognition, 45//, 89-99. https://doi.org/10.1016/j.concog.2016.08.018
Schooler, J.W., Mrazek, M.D., Franklin, M.S., Baird, B., Mooneyham, B.W., Zedelius, C., ... & Broadway, J.M. (2014). The middle way: Finding the balance between mindfulness and mind-wandering. //Psychology of Learning and Motivation, Vol 60, 60//, 1-33. https://doi.org/10.1016/B978-0-12-800090-8.00001-9
Frank, D.J., Nara, B., Zavagnin, M., Touron, D.R., & Kane, M.J. (2015). Validating older adults' reports of less mind-wandering: An examination of eye movements and dispositional influences. //Psychology and Aging, 30//(2), 266-278. https://doi.org/10.1037/pag0000031
Pulkki, J., Bo, D.L., & Varri, V.M. (2017). Environmental education as a lived-body practice? A contemplative pedagogy perspective. //Journal of Philosophy of Education, 51//(1), 214-229. https://doi.org/10.1111/1467-9752.12209
Luo, Y.M., Zhu, R.J., Ju, E.X., & You, X.Q. (2016). Validation of the Chinese version of the Mind-Wandering Questionnaire (MWQ) and the mediating role of self-esteem in the relationship between mind-wandering and life satisfaction for adolescents. //Personality and Individual Differences, 92//, 118-122. https://doi.org/10.1016/j.paid.2015.12.028
Mason, M.F., Brown, K., Mar, R.A., & Smallwood, J. (2013). Driver of discontent or escape vehicle: The affective consequences of mindwandering. //Frontiers in Psychology, 4//,477. https://doi.org/10.3389/fpsyg.2013.00477
Scheibner, H.J., Spengler, S., Kanske, P., Roepke, S., & Bermpohl, F. (2016). Behavioral assessment of mindfulness difficulties in borderline personality disorder. //Mindfulness, 7//(6), 1316-1326. https://doi.org/10.1007/s12671-016-0572-2
Gontier, C. (2017). How to prevent mind-wandering during an EVA ? presentation of a mind-wandering detection method using ECG technology in a Mars-analog environment. //Acta Astronautica, 140//, 105-112. https://doi.org/10.1016/j.actaastro.2017.08.008
Baker, J., Costa, D., Guarino, J.M., & Nygaard, I. (2014). Comparison of mindfulness-based stress reduction versus yoga on urinary urge incontinence: A randomized pilot study. with 6-month and 1-year follow-up visits. //Female Pelvic Medicine and Reconstructive Surgery, 20//(3), 141-146. https://doi.org/10.1097/SPV.0000000000000061
Guillot, C.R., Pang, R.D., & Leventhal, A.M. (2014). Anxiety sensitivity and negative urgency: A pathway to negative reinforcement-related smoking expectancies. //Journal of Addiction Medicine, 8//(3), 189-194. https://doi.org/10.1097/ADM.0000000000000017
Krawitz, R. (2012). Behavioural treatment of chronic, severe self-loathing in people with borderline personality disorder. Part 1: Interrupting the self-loathing cycle. //Australasian Psychiatry, 20//(5), 419-424. https://doi.org/10.1177/1039856212459584
Smallwood, J., O'Connor, R.C., Sudbery, M.V., & Obonsawin, M. (2007). Mind-wandering and dysphoria. //Cognition & Emotion, 21//(4), 816-842. https://doi.org/10.1080/02699930600911531
Salavera, C., Urcola-Pardo, F., Usan, P., & Jarie, L. (2017). Translation and validation of the Mind-Wandering Test for Spanish adolescents. //Psicologia: Reflexão e Crítica, 30//. https://doi.org/10.1186/s41155-017-0066-8
Fonagy, P., Luyten, P., Moulton-Perkins, A., Lee, Y.W., Warren, F., Howard, S., ... & Lowyck, B. (2016). Development and validation of a self-report measure of mentalizing: The reflective functioning questionnaire. //PLOS ONE, 11//(7). https://doi.org/10.1371/journal.pone.0158678
Fountain-Zaragoza, S., Londeree, A., Whitmoyer, P., & Prakash, R.S. (2016). Dispositional mindfulness and the wandering mind: Implications for attentional control in older adults. //Consciousness and Cognition, 44//, 193-204. https://doi.org/10.1016/j.concog.2016.08.003
Ho, R.T.H., Sing, C.Y., & Wong, V.P.Y. (2016). Addressing holistic health and work empowerment through a body-mind-spirit intervention program among helping professionals in continuous education: A pilot study. //Social Work in Health Care, 55//(10), 779-793. https://doi.org/10.1080/00981389.2016.1231153
Mrazek, M.D., Smallwood, J., & Schooler, J.W. (2012). Mindfulness and mind-wandering: Finding convergence through opposing constructs. //Emotion, 12//(3), 442-448. https://doi.org/10.1037/a0026678
Robinson, J.M., Ladd, B.O., & Anderson, K.G. (2014). When you see it, let it be: Urgency, mindfulness and adolescent substance use. //Addictive Behaviors, 39//(6), 1038-1041. https://doi.org/10.1016/j.addbeh.2014.02.011
Krawitz, R. (2012). Behavioural treatment of severe chronic self-loathing in people with borderline personality disorder. Part 2: Self-compassion and other interventions. //Australasian Psychiatry, 20//(6), 501-506. https://doi.org/10.1177/1039856212459586
Rummel, J., & Nied, L. (2017). Do drives drive the train of thought? Effects of hunger and sexual arousal on mind-wandering behavior. //Consciousness and Cognition, 55//, 179-187. https://doi.org/10.1016/j.concog.2017.08.013
Banks, J.B., Welhaf, M.S., Hood, A.V.B., Boals, A., & Tartar, J.L. (2016). Examining the role of emotional valence of mind wandering: All mind wandering is not equal. //Consciousness and Cognition, 43//, 167-176. https://doi.org/10.1016/j.concog.2016.06.003
Mooneyham, B.W., Mrazek, M.D., Mrazek, A.J., Mrazek, K.L., Phillips, D.T., & Schooler, J.W. (2017). States of mind: Characterizing the neural bases of focus and mind-wandering through dynamic functional connectivity. //Journal of Cognitive Neuroscience, 29//(3), 495-506. https://doi.org/10.1162/jocn_a_01066
Allen, T.D., Henderson, T.G., Mancini, V.S., & French, K.A. (2017). Mindfulness and meditation practice as moderators of the relationship between age and subjective wellbeing among working adults. //Mindfulness, 8//(4), 1055-1063. https://doi.org/10.1007/s12671-017-0681-6
[img[tps40.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Verdorfer, A.P. (2016). Examining mindfulness and its relations to humility, motivation to lead, and actual servant leadership behaviors. //Mindfulness, 7//(4), 950-961. https://doi.org/10.1007/s12671-016-0534-8
Hanold, M. (2017). Toward a new approach to authentic leadership: The practice of embodied dialogical "thinking" and the promise of shared power. //Advances in Developing Human Resources, 19//(4), 454-466. https://doi.org/10.1177/1523422317728940
Singh, A., Sengupta, S., & Sharma, S. (2016). Empathy and mindfulness: Potential antecedents to authentic leadership. //International Journal of Human Capital and Information Technology Professionals, 7//(4), 1-14. https://doi.org/10.4018/IJHCITP.2016100101
King, E., & Haar, J.M. (2017). Mindfulness and job performance: A study of Australian leaders. //Asia Pacific Journal of Human Resources, 55//(3), 298-319. https://doi.org/10.1111/1744-7941.12143
Sinclair, H., & Feigenbaum, J. (2012). Trait emotional intelligence and borderline personality disorder. //Personality and Individual Differences, 52//(6), 674-679. https://doi.org/10.1016/j.paid.2011.12.022
Waldron, A.L., & Ebbeck, V. (2015). The relationship of mindfulness and self-compassion to desired wildland fire leadership. //International Journal of Wildland Fire, 24//(2), 201-211. https://doi.org/10.1071/WF13212
Kroon, B., van Woerkom, M., & Menting, C. (2017). Mindfulness as substitute for transformational leadership. //Journal of Managerial Psychology, 32//(4), 284-297. https://doi.org/10.1108/JMP-07-2016-0223
Weaver, R.R. (2015). Seeking high reliability in primary care leadership, tools, and organization. //Health Care Management Review, 40//(3), 183-192. https://doi.org/10.1097/HMR.0000000000000022
Morton, J., Snowdon, S., Gopold, M., & Guymer, E. (2012). Acceptance and commitment therapy group treatment for symptoms of borderline personality disorder: A public sector pilot study. //Cognitive and Behavioral Practice, 19//(4), 527-544. https://doi.org/10.1016/j.cbpra.2012.03.005
Feliu-Soler, A., Pascual, J.C., Borras, X., Portella, M.J., Martin-Blanco, A., Armario, A., ... & Soler, J. (2014). Effects of dialectical behaviour therapy-mindfulness training on emotional reactivity in borderline personality disorder: Preliminary results. //Clinical Psychology & Psychotherapy, 21//(4), 363-370. https://doi.org/10.1002/cpp.1837
Thomas, D., Fox, R., & Miller, C. (2015). Voices from the field: Wildland fire managers and high-reliability organizing mindfulness. //Society & Natural Resources, 28//(8), 825-838. https://doi.org/10.1080/08941920.2015.1014590
Brendel, W., Hankerson, S., Byun, S., & Cunningham, B. (2016). Cultivating leadership dharma measuring the impact of regular mindfulness practice on creativity, resilience, tolerance for ambiguity, anxiety and stress. //Journal of Management development, 35//(8), 1056-1078. https://doi.org/10.1108/JMD-09-2015-0127
Kuo, J.R., Fitzpatrick, S., Metcalfe, R.K., & McMain, S. (2016). A multi-method laboratory investigation of emotional reactivity and emotion regulation abilities in borderline personality disorder. //Journal of Behavior Therapy and Experimental Psychiatry, 50//, 52-60. https://doi.org/10.1016/j.jbtep.2015.05.002
Dixon-Gordon, K.L., Chapman, A.L., & Turner, B.J. (2015). A preliminary pilot study comparing dialectical behavior therapy emotion regulation skills with interpersonal effectiveness skills and a control group treatment. //Journal of Experimental Psychopathology, 6//(4), 369-388. https://doi.org/10.5127/jep.041714
Brendel, W., & Bennett, C. (2016). Learning to embody leadership through mindfulness and somatics practice. //Advances in Developing Human Resources, 18//(3), 409-425. https://doi.org/10.1177/1523422316646068
Smith, B.W., Ortiz, J.A., Steffen, L.E., Tooley, E.M., Wiggins, K.T., Yeater, E.A., ... & Bernard, M.L. (2011). Mindfulness is associated with fewer PTSD symptoms, depressive symptoms, physical symptoms, and alcohol problems in urban firefighters. //Journal of Consulting and Clinical Psychology, 79//(5), 613-617. https://doi.org/10.1037/a0025189
Grandy, G., & Holton, J. (2013). Leadership development needs assessment in healthcare: A collaborative approach. //Leadership & Organization Development Journal, 34//(5), 427-445. https://doi.org/10.1108/LODJ-11-0090
Scheibner, H.J., Spengler, S., Kanske, P., Roepke, S., & Bermpohl, F. (2016). Behavioral assessment of mindfulness difficulties in borderline personality disorder. //Mindfulness, 7//(6), 1316-1326. https://doi.org/10.1007/s12671-016-0572-2
Selby, E.A., Fehling, K.B., Panza, E.A., & Kranzler, A. (2016). Rumination, mindfulness, and borderline personality disorder symptoms. //Mindfulness, 7//(1), 228-235. https://doi.org/10.1007/s12671-015-0432-5
Grandy, G., & Sliwa, M. (2017). Contemplative leadership: The possibilities for the ethics of leadership theory and practice. //Journal of Business Ethics, 143//(3), 423-440. https://doi.org/10.1007/s10551-015-2802-2
Allan, B.A., Bott, E.M., & Suh, H. (2015). Connecting mindfulness and meaning in life: Exploring the role of authenticity. //Mindfulness, 6//(5). 996-1003. https://doi.org/10.1007/s12671-014-0341-z
Warde, C.M., Vermillion, M., & Uljtdehaage, S. (2014). A medical student leadership course led to teamwork, advocacy, and mindfulness. //Family Medicine, 46//(6), 459-462.
Fry, L., & Kriger, M. (2009). Towards a theory of being-centered leadership: Multiple levels of being as context for effective leadership. //Human Relations, 62//(11), 1667-1696. https://doi.org/10.1177/0018726709346380
Elices, M., Pascual, J.C., Portella, M.J., Feliu-Soler, A., Martin-Blanco, A., Carmona, C., ... & Soler, J. (2016). Impact of mindfulness training on borderline personality disorder: A randomized trial. //Mindfulness, 7//(3), 584-595. https://doi.org/10.1007/s12671-016-0492-1
Cavicchioli, M., Rugi, C., & Maffei, C. (2015). Inability to withstand present-moment experiences in borderline personality disorder: A meta-analytic review. //Clinical Neuropsychiatry, 12//(4), 101-110.
Soler, J., Valdeperez, A., Feliu-Soler, A., Pascual, J.C., Portella, M.J., Martin-Blanco, A., ... & Perez, V. (2012). Effects of the dialectical behavioral therapy-mindfulness module on attention in patients with borderline personality disorder. //Behaviour Research and Therapy, 50//(2), 150-157. https://doi.org/10.1016/j.brat.2011.12.002
Baron, L. (2016). Authentic leadership and mindfulness development through action learning. //Journal of Managerial Psychology, 31//(1), 296-311. https://doi.org/10.1108/JMP-04-2014-0135
Peters, J.R., Eisenlohr-Moul, T.A., Upton, B.T., Talavera, N.A., Folsom, J.J., & Baer, R.A. (2017). Characteristics of repetitive thought associated with borderline personality features: A multimodal investigation of ruminative content and style. //Journal of Psychopathology and Behavioral Assessment, 39//(3), 456-466. https://doi.org/10.1007/s10862-017-9594-x
Fyke, J.P., & Buzzanell, P.M. (2013). The ethics of conscious capitalism: Wicked problems in leading change and changing leaders. //Human Relations, 66//(12), 1619-1644. https://doi.org/10.1177/0018726713485306
Sampl, J., Maran, T., & Furtner, M.R. (2017). A randomized controlled pilot intervention study of a mindfulness-based self-leadership training (MBSLT) on stress and performance. //Mindfulness, 8//(5), 1393-1407. https://doi.org/10.1007/s12671-017-0715-0
Tsur, N., Berkovitz, N., & Ginzburg, K. (2016). Body awareness, emotional clarity, and authentic behavior: The moderating role of mindfulness. //Journal of Happiness Studies, 17//(4), 1451-1472. https://doi.org/10.1007/s10902-015-9652-6
Eisenlohr-Moul, T.A., Peters, J.R., Chamberlain, K.D., & Rodriguez, M.A. (2016). Weekly fluctuations in nonjudging predict borderline personality disorder feature expression in women. //Journal of Psychopathology and Behavioral Assessment, 38//(1), 149-157. https://doi.org/10.1007/s10862-015-9505-y
Lakey, C.E., Kernis, M.H., Heppner, W.L., & Lance, C.E. (2008). Individual differences in authenticity and mindfulness as predictors of verbal defensiveness. //Journal of Research in Personality, 42//(1), 230-238. https://doi.org/10.1016/j.jrp.2007.05.002
Ward, S.F., & Haase, B. (2016). Conscious leadership. //Aorn Journal, 104//(5), 433.e1-433.e9. https://doi.org/10.1016/j.aorn.2016.09.002
Chandwani, R., Agrawal, N.M., & Kedia, B.L. (2016). Mindfulness: Nurturing global mind-set and leadership. //Thunderbird International Business Review, 58//(6), 617-625. https://doi.org/10.1002/tie.21760
Wasylkiw, L., Holton, J., Azar, R., & Cook, W. (2015). The impact of mindfulness on leadership effectiveness in a health care setting: A pilot study. //Journal of Health Organization and Management, 29//(7), 893-911. https://doi.org/10.1108/JHOM-06-2014-0099
Lewis, A.B., & Ebbeck, V. (2014). Mindful and self-compassionate leadership development: Preliminary discussions with wildland fire managers. //Journal of Forestry, 112//(2), 230-236. https://doi.org/10.5849/jof.12-107
Menemenci, N. (2012). The practice of being self-leaders in online learning environment. //Eurasian Journal of Educational Research, 12//(49A), 141-150.
Scherpiet, S., Herwig, U., Opialla, S., Scheerer, H., Habermeyer, V., Jancke, L., ... & Bruhl, A.B. (2015). Reduced neural differentiation between self-referential cognitive and emotional processes in women with borderline personality disorder. //Psychiatry Research-neuroimaging, 233//(3), 314-323. https://doi.org/10.1016/j.pscychresns.2015.05.008
Li, J., Wong, I.A., & Kim, W.G. (2017). Does mindfulness reduce emotional exhaustion? A multilevel analysis of emotional labor among casino employees. //International Journal of Hospitality Management, 64//, 21-30. https://doi.org/10.1016/j.ijhm.2017.03.008
Chafos, V.H., & Economou, P. (2014). Beyond borderline personality disorder: The mindful brain. //Social Work, 59//(4), 297-302. https://doi.org/10.1093/sw/swu030
Yeager, K.A., & Bauer-Wu, S. (2013). Cultural humility: Essential foundation for clinical researchers. //Applied Nursing Research, 26//(4), 251-256. https://doi.org/10.1016/j.apnr.2013.06.008
Eide, T., van Dulmen, S., & Eide, H. (2016). Educating for ethical leadership through web-based coaching: A feasibility study. //Nursing Ethics, 23//(8), 851-865. https://doi.org/10.1177/0969733015584399
Wupperman, P., Neumann, C.S., Whitman, J.B., & Axelrod, S.R. (2009). The role of mindfulness in borderline personality disorder features. //Journal of Nervous and Mental Disease, 197//(10), 766-771. https://doi.org/10.1097/NMD.0b013e3181b97343
Eisenbeiss, S.A., & van Knippenberg, D. (2015). On ethical leadership impact: The role of follower mindfulness and moral emotions. //Journal of Organizational Behavior, 36//(2), 182-195. https://doi.org/10.1002/job.1968
Wupperman, P., Neumann, C.S., & Axelrod, S.R. (2008). Do deficits in mindfulness underlie borderline personality features and core difficulties?. //Journal of Personality Disorders, 22//(5), 466-482. https://doi.org/10.1521/pedi.2008.22.5.466
Leroy, H., Anseel, F., Dimitrova, N.G., & Sels, L. (2013). Mindfulness, authentic functioning, and work engagement: A growth modeling approach. //Journal of Vocational Behavior, 82//(3), 238-247. https://doi.org/10.1016/j.jvb.2013.01.012
Nicastro, R., Jermann, F., Bondolfi, G., & McQuillan, A. (2010). Assessment of mindfulness with the French version of the Kentucky inventory of mindfulness skills in community and borderline personality disorder samples. //Assessment, 17//(2), 197-205. https://doi.org/10.1177/1073191110363551
Mamman, A., & Zakaria, H.B. (2016). Spirituality and Ubuntu as the foundation for building African institutions, organizations and leaders. //Journal of Management Spirituality & Religion, 13//(3), 246-265. https://doi.org/10.1080/14766086.2016.1159976
Shorey, R.C., Elmquist, J., Wolford-Clevenger, C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between dispositional mindfulness, borderline personality features, and suicidal ideation in a sample of women in residential substance use treatment. //Psychiatry Research, 238//, 122-128. https://doi.org/10.1016/j.psychres.2016.02.040
Kruse, S.D., & Johnson, B.L. (2017). Tempering the normative demands of professional learning communities with the organizational realities of life in schools: Exploring the cognitive dilemmas faced by educational leaders. //Educational Management Administration & Leadership, 45//(4), 588-604. https://doi.org/10.1177/1741143216636111
Keng, S.L., & Tan, J.X. (2017). Effects of brief mindful breathing and loving-kindness meditation on shame and social problem solving abilities among individuals with high borderline personality traits. //Behaviour Research and Therapy, 97//, 43-51. https://doi.org/10.1016/j.brat.2017.07.004
Fitzpatrick, S., & Kuo, J.R. (2016). The impact of stimulus arousal level on emotion regulation effectiveness in borderline personality disorder. //Psychiatry Research, 241//, 242-248. https://doi.org/10.1016/j.psychres.2016.05.004
Beblo, T., Fernando, S., Kamper, P., Griepenstroh, J., Aschenbrenner, S., Pastuszak, A., ... & Driessen, M. (2013). Increased attempts to suppress negative and positive emotions in borderline personality disorder. //Psychiatry Research, 210//(2), 505-509. https://doi.org/10.1016/j.psychres.2013.06.036
Chen, Y.S., Chang, C.H., & Lin, Y.H. (2014). Green transformational leadership and green performance: The mediation effects of green mindfulness and green self-efficacy. //Sustainability, 6//(10), 6604-6621. https://doi.org/10.3390/su6106604
Chesley, J., & Wylson, A. (2016). Ambiguity: The emerging impact of mindfulness for change leaders. //Journal of Change Management, 16//(4), 317-336. https://doi.org/10.1080/14697017.2016.1230334
Hepworth, C.R., Ashcroft, K., & Kingdon, D. (2013). Auditory hallucinations: A comparison of beliefs about voices in individuals with schizophrenia and borderline personality disorder. //Clinical Psychology & Psychotherapy, 20//(3), 239-245. https://doi.org/10.1002/cpp.791
Akerjordet, K., & Severinsson, E. (2010). Being in charge - new mothers' perceptions of reflective leadership and motherhood. //Journal of Nursing Management, 18//(4), 409-417. https://doi.org/10.1111/j.1365-2834.2010.01108.x
Doyle, K., & Hungerford, C. (2015). Leadership as a personal journey: An indigenous perspective. //Issues in Mental Health Nursing, 36//(5), 336-345. https://doi.org/10.3109/01612840.2015.1009663
Pipe, T.B., Bortz, J.J., Dueck, A., Pendergast, D., Buchda, V., & Summers, J. (2009). Nurse leader mindfulness meditation program for stress management: A randomized controlled trial. //Journal of Nursing Administration, 39//(3), 130-137. https://doi.org/10.1097/NNA.0b013e31819894a0
Thomas, T., Schermerhorn, J.R., & Dienhart, J.W. (2004). Strategic leadership of ethical behavior in business. //Academy of Management Executive, 18//(2), 56-66. https://doi.org/10.5465/ame.2004.13837425
Santorelli, S.F. (2011). 'Enjoy your death': Leadership lessons forged in the crucible of organizational death and rebirth infused with mindfulness and mastery. //Contemporary Buddhism, 12//(1), 199-217. https://doi.org/10.1080/14639947.2011.564839
Fossati, A., Feeney, J., Maffei, C., & Borroni, S. (2011). Does mindfulness mediate the association between attachment dimensions and borderline personality disorder features? A study of Italian non-clinical adolescents. //Attachment & Human Development, 13//(6), 563-578. https://doi.org/10.1080/14616734.2011.608993
Moir, F., Henning, M., Hassed, C., Moyes, S.A., & Elley, C.R. (2016). A peer-support and mindfulness program to improve the mental health of medical students. //Teaching and Learning in Medicine, 28//(3), 293-302. https://doi.org/10.1080/10401334.2016.1153475
Metcalfe, R.K., Fitzpatrick, S., & Kuo, J.R. (2017). A laboratory examination of emotion regulation skill strengthening in borderline personality disorder. //Personality Disorders-theory Research and Treatment, 8//(3), 237-246. https://doi.org/10.1037/per0000156
Perroud, N., Badoud, D., Weibel, S., Nicastro, R., Hasler, R., Kung, A.L., ... & Debbane, M. (2017). Mentalization in adults with attention deficit hyperactivity disorder: Comparison with controls and patients with borderline personality disorder. //Psychiatry Research, 256//, 334-341. https://doi.org/10.1016/j.psychres.2017.06.087
Wupperman, P., Fickling, M., Klemanski, D.H., Berking, M., & Whitman, J.B. (2013). Borderline personality features and harmful dysregulated behavior: The mediational effect of mindfulness. //Journal of Clinical Psychology, 69//(9), 903-911. https://doi.org/10.1002/jclp.21969
Sharpnack, P.A., Goliat, L., & Rogers, K. (2013). Using standardized patients to teach leadership competencies. //Clinical Simulation in Nursing, 9//(3), E95-E102. https://doi.org/10.1016/j.ecns.2011.10.001
Hegge, M. (2011). The empty carriage: Lessons in leadership from Florence Nightingale. //Nursing Science Quarterly, 24//(1), 21-25. https://doi.org/10.1177/0894318410389068
Tuisku, K., Virtanen, M., De Bloom, J., & Kinnunen, U. (2016). Cultural leisure activities, recovery and work engagement among hospital employees. //Industrial Health, 54//(3), 254-262. https://doi.org/10.2486/indhealth.2015-0124
Chapman, A.L., Rosenthal, M.Z., Dixon-Gordon, K.L., Turner, B.J., & Kuppens, P. (2017). Borderline personality disorder and the effects of instructed emotional avoidance or acceptance in daily life. //Journal of Personality Disorders, 31//(4), 483-502. https://doi.org/10.1521/pedi_2016_30_264
Disney, D. (2017). Authenticity, aggressivity, self-doing: Next thoughts on what poets might do. //New Writing: The International Journal for the Practice and Theory of Creative Writing, 14//(1), 88-97. https://doi.org/10.1080/14790726.2016.1240205
Stepp, S.D., Whalen, D.J., Pilkonis, P.A., Hipwell, A.E., & Levine, M.D. (2012). Children of mothers with borderline personality disorder: Identifying parenting behaviors as potential targets for intervention. //Personality Disorders-theory Research and Treatment, 3//(1), 76-91. https://doi.org/10.1037/a0023081
Raney, A.F. (2014). Agility in adversity: Integrating mindfulness and principles of adaptive leadership in the administration of a community mental health center. //Clinical Social Work Journal, 42//(3), 312-320. https://doi.org/10.1007/s10615-014-0487-0
Barton, M.A., & Sutcliffe, K.M. (2009). Overcoming dysfunctional momentum: Organizational safety as a social achievement. //Human Relations, 62//(9), 1327-1356. https://doi.org/10.1177/0018726709334491
[img[tps41.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kumari, V., Hamid, A., Brand, A., & Antonova, E. (2015). Acoustic prepulse inhibition: One ear is better than two, but why and when?. //Psychophysiology, 52//(5), 714-721. https://doi.org/10.1111/psyp.12391
Wang, X., Sundquist, K., Rastkhani, H., Palmer, K., Memon, A.A., & Sundquist, J. (2017). Association of mitochondrial DNA in peripheral blood with depression, anxiety and stress- and adjustment disorders in primary health care patients. //European Neuropsychopharmacology, 27//(8), 751-758. https://doi.org/10.1016/j.euroneuro.2017.06.001
Shao, R.B., Keuper, K.T., Geng, X.J., & Lee, T.M.C. (2016). Pons to posterior cingulate functional projections predict affective processing changes in the elderly following eight weeks of meditation training. //EBiomedicine, 10//, 236-248. https://doi.org/10.1016/j.ebiom.2016.06.018
Hyoungchan, K. (2014). The theory and practice of sage politics: The political philosophies and neo-confucian bases of Yi Hwang and Yi I. //Acta Koreana, 17//(1), 255-284. http://dx.doi.org/10.18399/acta.2014.17.1.010
Hanley, A.W., Peterson, G.W., Canto, A.I., & Garland, E.L. (2015). The relationship between mindfulness and posttraumatic growth with respect to contemplative practice engagement. //Mindfulness, 6//(3), 654-662. https://doi.org/10.1007/s12671-014-0302-6
Banos, R.M., Etchemendy, E., Castilla, D., Garcia-Palacios, A., Quero, S., & Botella, C. (2012). Positive mood induction procedures for virtual environments designed for elderly people. //Interacting With Computers, 24//(3), 131-138. https://doi.org/10.1016/j.intcom.2012.04.002
Keng, S.L., & Liew, K.W.L. (2017). Trait mindfulness and self-compassion as moderators of the association between gender nonconformity and psychological health. //Mindfulness, 8//(3), 615-626. https://doi.org/10.1007/s12671-016-0639-0
Cook, J. (2016). Mindful in Westminster the politics of meditation and the limits of neoliberal critique. //Hau-journal of Ethnographic Theory, 6//(1), 141-161. https://doi.org/10.14318/hau6.1.011
Gregg, M. (2003). A neglected history: Richard Hoggart's discourse of empathy. //Rethinking History, 7//(3), 285-306. https://doi.org/10.1080/0958517032000135265
Edwards, A.C., Aggen, S.H., Cai, N., Bigdeli, T.B., Peterson, R.E., Docherty, A.R., ... & Kendler, K.S. (2016). Chronicity of depression and molecular markers in a large sample of Han Chinese women. //Depression and Anxiety, 33//(11), 1048-1054. https://doi.org/10.1002/da.22517
Berkovich-Ohana, A., & Glicksohn, J. (2014). The consciousness state space (CSS)—A unifying model for consciousness and self. //Frontiers in Psychology, 5//, 341. https://doi.org/10.3389/fpsyg.2014.00341
Sgalla, G., Cerri, S., Ferrari, R., Ricchieri, M.P., Poletti, S., Ori, M., ... & Richeldi, L. (2015). Mindfulness-based stress reduction in patients with interstitial lung diseases: A pilot, single-centre observational study on safety and efficacy. //BMJ Open Respiratory Research, 2//(1), e000065. https://doi.org/10.1136/bmjresp-2014-000065
Moritz, S., Quan, H., Rickhi, B., Liu, M.F., Angen, M., Vintila, R., ... & Toews, J. (2006). A home study-based spirituality education program decreases emotional distress and increases quality of life - A randomized, controlled trial. //Alternative Therapies in Health and Medicine, 12//(6), 26-35.
Garlick, M., Wall, K., Corwin, D., & Koopman, C. (2011). Psycho-spiritual integrative therapy for women with primary breast cancer. //Journal of Clinical Psychology in Medical Settings, 18//(1), 78-90. https://doi.org/10.1007/s10880-011-9224-9
Tzeng, J.Y. (2006). Matching users' diverse social scripts with resonating humanized features to create a polite interface. //International Journal of Human-computer Studies, 64//(12), 1230-1242. https://doi.org/10.1016/j.ijhcs.2006.08.011
Keller, B.Z., Singh, N.N., & Winton, A.S.W. (2014). Mindfulness-based cognitive approach for seniors (MBCAS): Program development and implementation. //Mindfulness, 5//(4), 453-459. https://doi.org/10.1007/s12671-013-0262-2
Azam, M.A., Mongrain, M., Vora, K., Pirbaglou, M., Azargive, S., Changoor, T., ... & Ritvo, P. (2016). Mindfulness as an alternative for supporting university student mental health: Cognitive-emotional and depressive self-criticism measures. //International Journal of Educational Psychology, 5//(2), 140-163. https://doi.org/10.17583/ijep.2016.1504
[img[tps42.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Reese, H.E., Vallejo, Z., Rasmussen, J., Crowe, K., Rosenfield, E., & Wilhelm, S. (2015). Mindfulness-based stress reduction for Tourette syndrome and chronic tic disorder: A pilot study. //Journal of Psychosomatic Research, 78//(3), 293-298. https://doi.org/10.1016/j.jpsychores.2014.08.001
Moore, R.C., Depp, C.A., Wetherell, J.L., & Lenze, E.J. (2016). Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults. //Journal of Psychiatric Research, 75//, 116-123. https://doi.org/10.1016/j.jpsychires.2016.01.011
Petkus, A.J., & Wetherell, J.L. (2013). Acceptance and commitment therapy with older adults: Rationale and considerations. //Cognitive and Behavioral Practice, 20//(1), 47-56. https://dx.doi.org/10.1016%2Fj.cbpra.2011.07.004
Broome, K., Shamrock, J., & Alcorn, K. (2015). Older peoples' perceived benefits of Feldenkrais method classes. //Physical & Occupational Therapy in Geriatrics, 33//(2), 118-127. https://doi.org/10.3109/02703181.2015.1009227
Vallance, J.K., Eurich, D.T., Gardiner, P.A., Taylor, L.M., Stevens, G., & Johnson, S.T. (2014). Utility of telephone survey methods in population-based health studies of older adults: an example from the Alberta Older Adult Health Behavior (ALERT) study. //BMC Public Health, 14//. https://dx.doi.org/10.1186%2F1471-2458-14-486
Gamboa, O.L., Garcia-Campayo, J., Muller, T., & von Wegner, F. (2017). Suppress to forget: The effect of a mindfulness-based strategy during an emotional item-directed forgetting paradigm. //Frontiers in Psychology, 8//,432. https://doi.org/10.3389/fpsyg.2017.00432
de Frias, C.M. (2014). Memory compensation in older adults: The role of health, emotion regulation, and trait mindfulness. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 69//(5), 678-685. https://doi.org/10.1093/geronb/gbt064
Wahbeh, H., Goodrich, E., & Oken, B.S. (2016). Internet-based mindfulness meditation for cognition and mood in older adults: A pilot study. //Alternative Therapies in Health and Medicine, 22//(2), 44-53.doi: 10.2196/mental.5900
Ramsey, A.T., Wetherell, J.L., Depp, C., Dixon, D., & Lenze, E. (2016). Feasibility and acceptability of smartphone assessment in older adults with cognitive and emotional difficulties. //Journal of Technology in Human Services, 34//(2), 209-223. https://doi.org/10.1080/15228835.2016.1170649
Shaffer, J.A., Davidson, K.W., Schwartz, J.E., Shimbo, D., Newman, J.D., Gurland, B.J., ... & Maurer, M.S. (2012). Prevalence and characteristics of Anergia (lack of energy) in patients with acute coronary syndrome. //American Journal of Cardiology, 110//(9), 1213-1218. https://doi.org/10.1016/j.amjcard.2012.06.022
Franco, C., Amutio, A., Manas, I., Gazquez, J.J., & Perez-Fuentes, M.D. (2017). Reducing anxiety, geriatric depression and worry in a sample of older adults through a mindfulness training program. //Terapia Psicologica, 35//(1), 71-79. DOI:10.4067/S0718-48082017000100007
Rejeski, W.J., Mihalko, S.L., Ambrosius, W.T., Bearon, L.B., & McClelland, J.W. (2011). Weight loss and self-regulatory eating efficacy in older adults: The cooperative lifestyle intervention program. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 66//(3), 279-286. https://doi.org/10.1093/geronb/gbq104
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2014). Mindfulness-based intervention for prodromal sleep disturbances in older adults: Design and methodology of a randomized controlled trial. //Contemporary Clinical Trials, 39//(1), 22-27. https://doi.org/10.1016/j.cct.2014.06.013
Helmes, E., & Ward, B.G. (2017). Mindfulness-based cognitive therapy for anxiety symptoms in older adults in residential care. //Aging & Mental Health, 21//(3), 272-278. https://doi.org/10.1080/13607863.2015.1111862
Palta, P., Page, G., Piferi, R.L., Gill, J.M., Hayat, M.J., Connolly, A.B., ... & Szanton, S.L. (2012). Evaluation of a mindfulness-based intervention program to decrease blood pressure in low-income african-american older adults. //Journal of Urban Health-bulletin of the New York Academy of Medicine, 89//(2), 308-316. https://doi.org/10.1007/s11524-011-9654-6
Crane-Okada, R., Kiger, H., Sugerman, F., Uman, G.C., Shapiro, S.L., Wyman-McGinty, W., ... & Anderson, N.L.R. (2012). Mindful movement program for older breast cancer survivors a pilot study. //Cancer Nursing, 35//(4), E1-E13. https://doi.org/10.1097/NCC.0b013e3182280f73
Morone, N.E., Greco, C.M., & Weiner, D.K. (2008). Mindfulness meditation for the treatment of chronic low back pain in older adults: A randomized controlled pilot study. //Pain, 134//(3), 310-319. https://doi.org/10.1016/j.pain.2007.04.038
El-Gabalawy, R., Mackenzie, C.S., Thibodeau, M.A., Asmundson, G.J.G., & Sareen, J. (2013). Health anxiety disorders in older adults: Conceptualizing complex conditions in late life. //Clinical Psychology Review, 33//(8), 1096-1105. https://doi.org/10.1016/j.cpr.2013.08.010
Karp, J.F., Shega, J.W., Morone, N.E., & Weiner, D.K. (2008). Advances in understanding the mechanisms and management of persistent pain in older adults. //British Journal of Anaesthesia, 101//(1), 111-120. https://doi.org/10.1093/bja/aen090
Prakash, R., Rastogi, P., Dubey, I., Abhishek, P., Chaudhury, S., & Small, B.J. (2012). Long-term concentrative meditation and cognitive performance among older adults. //Aging Neuropsychology and Cognition, 19//(4), 479-494. https://doi.org/10.1080/13825585.2011.630932
Lomas, T., Ivtzan, I., & Yong, C.Y. (2016). Mindful living in older age: A pilot study of a brief, community-based, positive aging intervention. //Mindfulness, 7//(3), 630-641. https://doi.org/10.1007/s12671-016-0498-8
Mahoney, C.T., Segal, D.L., & Coolidge, F.L. (2015). Anxiety sensitivity, experiential avoidance, and mindfulness among younger and older adults: Age differences in risk factors for anxiety symptoms. //International Journal of Aging & Human Development, 81//(4), 217-240. https://doi.org/10.1177/0091415015621309
Lunde, L.H., & Skjotskift, S. (2015). Combining mindfulness meditation with cognitive behavior therapy and medication taper for hypnotic-dependent insomnia in older adults: A case study. //Clinical Case Studies, 14//(4), 307-320. https://doi.org/10.1177/1534650114557566
Arcury, T.A., Grzywacz, J.G., Stoller, E.P., Bell, R.A., Altizer, K.P., Chapman, C., ... & Quandt, S.A. (2009). Complementary therapy use and health self-management among rural older adults. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 64//(5), 635-643. https://doi.org/10.1093/geronb/gbp011
Rawtaer, I., Mahendran, R., Yu, J.H., Fam, J., Feng, L., & Kua, E.H. (2015). Psychosocial interventions with art, music, tai chi and mindfulness for subsyndromal depression and anxiety in older adults: A naturalistic study in Singapore. //Asia-Pacific Psychiatry, 7//(3), 240-250. https://doi.org/10.1111/appy.12201
Splevins, K., Smith, A., & Simpson, J. (2009). Do improvements in emotional distress correlate with becoming more mindful? a study of older adults. //Aging & Mental Health, 13//(3), 328-335. https://doi.org/10.1080/13607860802459807
Bonura, K.B., & Tenenbaum, G. (2014). Effects of yoga on psychological health in older adults. //Journal of Physical Activity & Health, 11//(7), 1334-1341. https://doi.org/10.1123/jpah.2012-0365
Phillips, W.J., & Ferguson, S.J. (2013). Self-compassion: A resource for positive aging. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 68//(4), 529-539. https://doi.org/10.1093/geronb/gbs091
Roth, W.M. (2015). Ecological mindfulness, spirituality, and life-long (hybrid, dialogical) learning: a tribute to Michiel van Eijck. //Cultural Studies of Science Education, 10//(1), 21-40. https://doi.org/10.1007/s11422-014-9618-8
Lenze, E.J., Hickman, S., Hershey, T., Wendleton, L., Ly, K., Dixon, D., ... & Wetherell, J.L. (2014). Mindfulness-based stress reduction for older adults with worry symptoms and co-occurring cognitive dysfunction. //International Journal of Geriatric Psychiatry, 29//(10), 991-1000. https://doi.org/10.1002/gps.4086
Stillman, C.M., You, X.Z., Seaman, K.L., Vaidya, C.J., Howard, J.H., & Howard, D.V. (2016). Task-related functional connectivity of the caudate mediates the association between trait mindfulness and implicit learning in older adults. //Cognitive Affective & Behavioral Neuroscience, 16//(4), 736-753. https://doi.org/10.3758/s13415-016-0427-2
Martin, M., & Doswell, S. (2012). Mindfulness and older people: A small study. //British Journal of Occupational Therapy, 75//(1), 36-41. https://doi.org/10.4276/030802212X13261082051454
Morone, N.E., Greco, C.M., Rollman, B.L., Moore, C.G., Lane, B., Morrow, L., ... & Weiner, D.K. (2012). The design and methods of the aging successfully with pain study. //Contemporary Clinical Trials, 33//(2), 417-425. https://doi.org/10.1016/j.cct.2011.11.012
Marino, P., DePasquale, A., & Sirey, J.A. (2015). Cognitive behavior therapy with mindfulness and acceptance skills for the treatment of older adults. //Clinical Case Studies, 14//(4), NA-273. https://doi.org/10.1177/1534650114556147
Green, P. (2017). A behavioural approach to helping an older adult with a learning disability and mild cognitive impairment overcome depression. //British Journal of Learning Disabilities, 45//(1), 81-88. https://doi.org/10.1111/bld.12160
Zeng, W.N., Ma, Z.W., & Li, H.Z. (2017). Mindfulness and suicidal ideation in Chinese older adults: Perceived stress as mediator. //Social Behavior and Personality, 45//(5), 733-740. https://doi.org/10.2224/sbp.5807
Crane-Okada, R., Kiger, H., Anderson, N.L.R., Carroll-Johnson, R.M., Sugerman, F., Shapiro, S.L., ... & Wyman-McGinty, W. (2012). Participant perceptions of a mindful movement program for older women with breast cancer focus group results. //Cancer Nursing, 35//(3), E1-E10. https://doi.org/10.1097/NCC.0b013e31822539c5
Smith, A. (2004). Clinical uses of mindfulness training for older people. //Behavioural and Cognitive Psychotherapy, 32//(4), 423-430. https://doi.org/10.1017/S1352465804001602
Banducci, S.E., Daugherty, A.M., Biggan, J.R., Cooke, G.E., Voss, M., Noice, T., ... & Kramer, A.F. (2017). Active experiencing training improves episodic memory recall in older adults. //Frontiers in Aging Neuroscience, 9//, 133. https://doi.org/10.3389/fnagi.2017.00133
Hafskjold, L., Sundler, A.J., Holmstrom, I.K., Sundling, V., van Dulmen, S., & Eide, H. (2015). A cross-sectional study on person-centred communication in the care of older people: The comhome study protocol. //BMJ Open, 5//(4). https://doi.org/10.1136/bmjopen-2015-007864
Morone, N.E., Lynch, C.S., Greco, C.M., Tindle, H.A., & Weiner, D.K. (2008). I felt like a new person. the effects of mindfulness meditation on older adults with chronic pain: Qualitative narrative analysis of diary entries. //Journal of Pain, 9//(9), 841-848. https://doi.org/10.1016/j.jpain.2008.04.003
Mallya, S., & Fiocco, A.J. (2016). Effects of mindfulness training on cognition and well-being in healthy older adults. //Mindfulness, 7//(2), 453-465. https://doi.org/10.1007/s12671-015-0468-6
Gallegos, A.M., Hoerger, M., Talbot, N.L., Krasner, M.S., Knight, J.M., Moynihan, J.A., ... & Duberstein, P.R. (2013). Toward identifying the effects of the specific components of mindfulness-based stress reduction on biologic and emotional outcomes among older adults. //Journal of Alternative and Complementary Medicine, 19//(10), 787-792. https://doi.org/10.1089/acm.2012.0028
Smith, J.L., & Bryant, F.B. (2016). The benefits of savoring life: Savoring as a moderator of the relationship between health and life satisfaction in older adults. //International Journal of Aging & Human Development, 84//(1), 3-23. https://doi.org/10.1177/0091415016669146
Gallegos, A.M., Hoerger, M., Talbot, N.L., Moynihan, J.A., & Duberstein, P.R. (2013). Emotional benefits of mindfulness-based stress reduction in older adults: The moderating roles of age and depressive symptom severity. //Aging & Mental Health, 17//(7), 823-829. https://doi.org/10.1080/13607863.2013.799118
Kristeller, J.L. (2016). The Struggle Continues: Addressing Concerns About Eating and Weight for Older Women’s Well-Being. //Women & Therapy, 39//(42737), 202-212. https://doi.org/10.1080/02703149.2016.1116855
Simpson, M.D., & Swist, T. (2016). Curating work-integrated learning: 'taking care' of disciplinary heritage, local institutional contexts and wellbeing via the open educational resources movement. //Asia-Pacific Journal of Cooperative Education, 17//(1), 1-8.https://files.eric.ed.gov/fulltext/EJ1113966.pdf
Morone, N.E., Greco, C.M., Moore, C.G., Rollman, B.L., Lane, B., Morrow, L.A., ... & Weiner, D.K. (2016). A mind-body program for older adults with chronic low back pain a randomized clinical trial. //JAMA Internal Medicine, 176//(3), 329-337. https://doi.org/10.1001/jamainternmed.2015.8033
Chan, A.S., Cheung, M.C., Sze, S.L., Leung, W.W.M., & Shi, D.J. (2011). Shaolin Dan Tian Breathing Fosters Relaxed and Attentive Mind: A Randomized Controlled Neuro-Electrophysiological Study. //Evidence-based Complementary and Alternative Medicine//, NA. https://doi.org/10.1155/2011/180704
Visser, P.L., Hirsch, J.K., Brown, K.W., Ryan, R., & Moynihan, J.A. (2015). Components of sleep quality as mediators of the relation between mindfulness and subjective vitality among older adults. //Mindfulness, 6//(4), NA-731. https://doi.org/10.1007/s12671-014-0311-5
Black, D.S., O'Reilly, G.A., Olmstead, R., Breen, E.C., & Irwin, M.R. (2015). Mindfulness meditation and improvement in sleep quality and daytime impairment among older adults with sleep disturbances a randomized clinical trial. //JAMA Internal Medicine, 175//(4), 494-501. https://doi.org/10.1001/jamainternmed.2014.8081
Bluth, K., & Blanton, P.W. (2015). The influence of self-compassion on emotional well-being among early and older adolescent males and females. //Journal of Positive Psychology, 10//(3), 219-230. https://doi.org/10.1080/17439760.2014.936967
Wetherell, J.L., Hershey, T., Hickman, S., Tate, S.R., Dixon, D., Bower, E.S., ... & Lenze, E.J. (2017). Mindfulness-based stress reduction for older adults with stress disorders and neurocognitive difficulties: A randomized controlled trial. //Journal of Clinical Psychiatry, 78//(7), E734-E743. https://doi.org/10.4088/JCP.16m10947
Szanton, S.L., Wenzel, J., Connolly, A.B., & Piferi, R.L. (2011). Examining mindfulness-based stress reduction: Perceptions from minority older adults residing in a low-income housing facility. //BMC Complementary and Alternative Medicine, 11//. https://doi.org/10.1186/1472-6882-11-44
de Frias, C.M., & Whyne, E. (2015). Stress on health-related quality of life in older adults: The protective nature of mindfulness. //Aging & Mental Health, 19//(3), 201-206. https://doi.org/10.1080/13607863.2014.924090
Moynihan, J.A., Chapman, B.P., Klorman, R., Krasner, M.S., Duberstein, P.R., Brown, K.W., ... & Talbot, N.L. (2013). Mindfulness-based stress reduction for older adults: Effects on executive function, frontal alpha asymmetry and immune function. //Neuropsychobiology, 68//(1), 34-43. https://doi.org/10.1159/000350949
Zhang, J.X., Liu, X.H., Xie, X.H., Zhao, D., Shan, M.S., Zhang, X.L., ... & Cui, H. (2015). Mindfulness-based stress reduction for chronic insomnia in adults older than 75 years: A randomized, controlled, single-blind clinical trial. //Explore: The Journal of Science and Healing, 11//(3), 180-185. https://doi.org/10.1016/j.explore.2015.02.005
Prakash, R.S., Whitmoyer, P., Aldao, A., & Schirda, B. (2017). Mindfulness and emotion regulation in older and young adults. //Aging & Mental Health, 21//(1), 77-87. https://doi.org/10.1080/13607863.2015.1100158
McHugh, L., Simpson, A., & Reed, P. (2010). Mindfulness as a potential intervention for stimulus over-selectivity in older adults. //Research in Developmental Disabilities, 31//(1), 178-184. https://doi.org/10.1016/j.ridd.2009.08.009
Sorrell, J.M. (2015). Meditation for older adults a new look at an ancient intervention for mental health. //Journal of Psychosocial Nursing and Mental Health Services, 53//(5), 15-19. https://doi.org/10.3928/02793695-20150330-01
Hyer, L., Scott, C., Lyles, J., Dhabliwala, J., & McKenzie, L. (2014). Memory intervention : The value of a clinical holistic program for older adults with memory impairments. //Aging & Mental Health, 18//(2), 169-178. https://doi.org/10.1080/13607863.2013.819832
Tam, B.W.H., Lo, D.R.T., Seah, D.W.H., Lee, J.X., Foo, Z.F.Y., Poh, Z.Y.Y., ... & Chee, C.S. (2017). Developing and validating a localised, self-training mindfulness programme for older singaporean adults: Effects on cognitive functioning and implications for healthcare. //Singapore Medical Journal, 58//(3), 126-128. https://doi.org/10.11622/smedj.2016172
Morone, N.E., Rollman, B.L., Moore, C.G., Qin, L., & Weiner, D.K. (2009). A mind-body program for older adults with chronic low back pain: Results of a pilot study. //Pain Medicine, 10//(8), 1395-1407. https://doi.org/10.1111/j.1526-4637.2009.00746.x
Eisendrath, S.J., Gillung, E.P., Delucchi, K.L., Chartier, M., Mathalon, D.H., Sullivan, J.C., ... & Feldman, M.D. (2014). Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: a randomized control trial study protocol. //BMC Complementary and Alternative Medicine, 14//. https://doi.org/10.1186/1472-6882-14-95
Smith, A., Graham, L., & Senthinathan, S. (2007). Mindfulness-based cognitive therapy for recurring depression in older people: A qualitative study. //Aging & Mental Health, 11//(3), 346-357. https://doi.org/10.1080/13607860601086256
West, A.E., & Weinstein, S.M. (2012). A family-based psychosocial treatment model. //Israel Journal of Psychiatry and Related Sciences, 49//(2), 86-94.
Wang, D., & Feinstein, A. (2011). Managing pain in older adults the benefits of yoga postures, meditation and mindfulness. //Topics in Geriatric Rehabilitation, 27//(2), 104-109. https://doi.org/10.1097/TGR.0b013e31821bfffa
Creswell, J.D., Irwin, M.R., Burklund, L.J., Lieberman, M.D., Arevalo, J.M.G., Ma, J., ... & Cole, S.W. (2012). Mindfulness-based stress reduction training reduces loneliness and pro-inflammatory gene expression in older adults: A small randomized controlled trial. //Brain Behavior and Immunity, 26//(7), 1095-1101. https://doi.org/10.1016/j.bbi.2012.07.006
Ingraham, N., Harbatkin, D., Lorvick, J., Plumb, M., & Minnis, A.M. (2017). Women's health and mindfulness (wham): A randomized intervention among older lesbian/bisexual women. //Health Promotion Practice, 18//(3), 348-357. https://doi.org/10.1177/1524839916670874
Eisendrath, S.J., Gillung, E., Delucchi, K., Mathalon, D.H., Yang, T.T., Satre, D.D., ... & Wolkowitz, O.M. (2015). A preliminary study: Efficacy of mindfulness-based cognitive therapy versus sertraline as first-line treatments for major depressive disorder. //Mindfulness, 6//(3), 475-482. https://doi.org/10.1007/s12671-014-0280-8
Fountain-Zaragoza, S., Londeree, A., Whitmoyer, P., & Prakash, R.S. (2016). Dispositional mindfulness and the wandering mind: Implications for attentional control in older adults. //Consciousness and Cognition, 44//, 193-204. https://doi.org/10.1016/j.concog.2016.08.003
Bevan, A.L., Maxfield, M., & Bultmann, M.N. (2014). The effects of age and death awareness on intentions for healthy behaviours. //Psychology & Health, 29//(4), 405-421. https://doi.org/10.1080/08870446.2013.859258
Paolini, B., Burdette, J.H., Laurienti, P.J., Morgan, A.R., Williamson, D.A., & Rejeski, W.J. (2012). Coping with brief periods of food restriction: Mindfulness matters. //Frontiers in Aging Neuroscience, 4//, 13. https://doi.org/10.3389/fnagi.2012.00013
Hakansson, K., Ledreux, A., Daffner, K., Terjestam, Y., Bergman, P., Carlsson, R., ... & Mohammed, A.K.H. (2017). BDNF Responses in Healthy Older Persons to 35 Minutes of Physical Exercise, Cognitive Training, and Mindfulness: Associations with Working Memory Function. //Journal of Alzheimers Disease, 55//(2), 645-657. https://doi.org/10.3233/JAD-160593
Gartner, C. (2011). Putting new wine into old bottles mindfulness as a micro-foundation of dynamic capabilities. //Management Decision, 49//(2), 253-269. https://doi.org/10.1108/00251741111109142
Beshara, M., Hutchinson, A.D., & Wilson, C. (2013). Does mindfulness matter? Everyday mindfulness, mindful eating and self-reported serving size of energy dense foods among a sample of South Australian adults. //Appetite, 67//, 25-29. https://doi.org/10.1016/j.appet.2013.03.012
Alonso, M.A., Lopez, A., Losada, A., & Gonzalez, J.L. (2013). Acceptance and commitment therapy and selective optimization with compensation for older people with chronic pain: A pilot study. //Behavioral Psychology-psicologia Conductual, 21//(1), 59-79. https://doi.org/10.1111/pme.12885
Smart, C.M., Segalowitz, S.J., Mulligan, B.P., Koudys, J., & Gawryluk, J.R. (2016). Mindfulness training for older adults with subjective cognitive decline: Results from a pilot randomized controlled trial. //Journal of Alzheimers Disease, 52//(2), 757-774. https://doi.org/10.3233/JAD-150992
McCracken, L.M., & Jones, R. (2012). Treatment for chronic pain for adults in the seventh and eighth decades of life: A preliminary study of acceptance and commitment therapy (act). //Pain Medicine, 13//(7), 861-867. https://doi.org/10.1111/j.1526-4637.2012.01407.x
Barkan, T., Hoerger, M., Gallegos, A.M., Turiano, N.A., Duberstein, P.R., & Moynihan, J.A. (2016). Personality predicts utilization of mindfulness-based stress reduction during and post-intervention in a community sample of older adults. //Journal of Alternative and Complementary Medicine, 22//(5), 390-395. https://doi.org/10.1089/acm.2015.0177
Fonareva, I., Amen, A.M., Ellingson, R.M., & Oken, B.S. (2012). Differences in stress-related ratings between research center and home environments in dementia caregivers using ecological momentary assessment. //International Psychogeriatrics, 24//(1), 90-98. https://doi.org/10.1017/S1041610211001414
Bluth, K., Campo, R.A., Futch, W.S., & Gaylord, S.A. (2017). Age and gender differences in the associations of self-compassion and emotional well-being in a large adolescent sample. //Journal of Youth and Adolescence, 46//(4), 840-853. https://doi.org/10.1007/s10964-016-0567-2
O'Reilly, G., Coyle, D., & Tunney, C. (2016). Even Buddhist monks use a gong: A mindfulness skills programme for young people delivered through the "mindful gnats" computer game and app.. //International Journal of Game-based Learning, 6//(4), 39-51. https://doi.org/10.4018/IJGBL.2016100103
Dorsch, M.P., Farris, K.B., Bleske, B.E., & Koelling, T.M. (2015). A web application for self-monitoring improves symptoms in chronic systolic heart failure. //Telemedicine and E-health, 21//(4), 267-270. https://doi.org/10.1089/tmj.2014.0095
[img[tps43.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Morris, E.M.J., Garety, P., & Peters, E. (2014). Psychological flexibility and nonjudgemental acceptance in voice hearers: Relationships with omnipotence and distress. //Australian and New Zealand Journal of Psychiatry, 48//(12), 1150-1162. https://doi.org/10.1177/0004867414535671
Hepworth, C.R., Ashcroft, K., & Kingdon, D. (2013). Auditory hallucinations: A comparison of beliefs about voices in individuals with schizophrenia and borderline personality disorder. //Clinical Psychology & Psychotherapy, 20//(3), 239-245. https://doi.org/10.1002/cpp.791
Gorman, T.E., & Green, C.S. (2016). Short-term mindfulness intervention reduces the negative attentional effects associated with heavy media multitasking. //Scientific Reports, 6//, 24542. https://doi.org/10.1038/srep24542
Chaix, J., Ma, E., Nguyen, A., Collado, M.A.O., Rexhaj, S., & Favrod, J. (2014). Safety-seeking behaviours and verbal auditory hallucinations in schizophrenia. //Psychiatry Research, 220//(42737), 158-162. https://doi.org/10.1016/j.psychres.2014.08.041
Shawyer, F., Ratcliff, K., Mackinnon, A., Farhall, J., Hayes, S.C., & Copolov, D. (2007). The voices acceptance and action scale (VAAS): Pilot data. //Journal of Clinical Psychology, 63//(6), 593-606. https://doi.org/10.1002/jclp.20366
Thomas, N., Hayward, M., Peters, E., van der Gaag, M., Bentall, R.P., Jenner, J., ... & McCarthy-Jones, S. (2014). Psychological therapies for auditory hallucinations (voices): Current status and key directions for future research. //Schizophrenia Bulletin, 40//, S202-S212. https://doi.org/10.1093/schbul/sbu037
Brockman, R., Kiernan, M., & Murrell, E. (2015). Psychometric properties of two brief versions of the Voices Acceptance and Action Scale (VAAS): Implications for the second-wave and third-wave behavioural and cognitive approaches to auditory hallucinations. //Clinical Psychology & Psychotherapy, 22//(5), 450-459. https://doi.org/10.1002/cpp.1916
Hayward, M., Slater, L., Berry, K., & Perona-Garcelan, S. (2016). Establishing the "fit" between the patient and the therapy: The role of patient gender in selecting psychological therapy for distressing voices. //Frontiers in Psychology, 7//, 424. https://doi.org/10.3389/fpsyg.2016.00424
Howard, A., Forsyth, A., Spencer, H., Young, E.W., & Turkington, D. (2013). Do voice hearers naturally use focusing and metacognitive coping techniques?. //Psychosis: Psychological, Social and Integrative Approaches, 5//(2), 119-126. https://doi.org/10.1080/17522439.2012.668926
Ralph, B.C.W., Thomson, D.R., Cheyne, J.A., & Smilek, D. (2014). Media multitasking and failures of attention in everyday life. //Psychological Research, 78//(5), 661-669. https://doi.org/10.1007/s00426-013-0523-7
Timmerman, C.E. (2002). The moderating effect of mindlessness/mindfulness upon media richness and social influence explanations of organizational media use. //Communication Monographs, 69//(2), 111-131. https://doi.org/10.1080/714041708
Lush, P., Naish, P., & Dienes, Z. (2016). Metacognition of intentions in mindfulness and hypnosis. //Neuroscience of Consciousness, 2016//(1), niw007. https://doi.org/10.1093/nc/niw007
Kahan, T.L., & Sullivan, K.T. (2012). Assessing metacognitive skills in waking and sleep: A psychometric analysis of the Metacognitive, Affective, Cognitive Experience (MACE) questionnaire. //Consciousness and Cognition, 21//(1), 340-352. https://doi.org/10.1016/j.concog.2011.11.005
May, K., Strauss, C., Coyle, A., & Hayward, M. (2014). Person-based cognitive therapy groups for distressing voices: A thematic analysis of participant experiences of the therapy. //Psychosis: Psychological, Social and Integrative Approaches, 6//(1), 16-26. https://doi.org/10.1080/17522439.2012.708775
Chadwick, P., Strauss, C., Jones, A.M., Kingdon, D., Ellett, L., Dannahy, L., ... & Hayward, M. (2016). Group mindfulness-based intervention for distressing voices: A pragmatic randomised controlled trial. //Schizophrenia Research, 175//(42738), 168-173. https://doi.org/10.1016/j.schres.2016.04.001
Dannahy, L., Hayward, M., Strauss, C., Turton, W., Harding, E., & Chadwick, P. (2011). Group person-based cognitive therapy for distressing voices: Pilot data from nine groups. //Journal of Behavior Therapy and Experimental Psychiatry, 42//(1), 111-116. https://doi.org/10.1016/j.jbtep.2010.07.006
Solem, S., Hagen, R., Wang, C.E.A., Hjemdal, O., Waterloo, K., Eisemann, M., ... & Halvorsen, M. (2017). Metacognitions and mindful attention awareness in depression: A comparison of currently depressed, previously depressed and never depressed individuals. //Clinical Psychology & Psychotherapy, 24//(1), 94-102. https://doi.org/10.1002/cpp.1983
Escudero-Perez, S., Leon-Palacios, M.G., Ubeda-Gomez, J., Barros-Albarran, M.D., Lopez-Jimenez, A.M., & Perona-Garcelan, S. (2016). Dissociation and mindfulness in patients with auditory verbal hallucinations. //Journal of Trauma & Dissociation, 17//(3), 294-306. https://doi.org/10.1080/15299732.2015.1085480
Ratcliff, K., Farhall, J., & Shawyer, F. (2011). Auditory hallucinations: A review of assessment tools. //Clinical Psychology & Psychotherapy, 18//(6), 524-534. https://doi.org/10.1002/cpp.729
Perona-Garcelan, S., Carrascoso-Lopez, F., Garcia-Montes, J.M., Vallina-Fernandez, O., Perez-Alvarez, M., Ductor-Recuerda, M.J., ... & Gomez-Gomez, M.T. (2011). Depersonalization as a mediator in the relationship between self-focused attention and auditory hallucinations. //Journal of Trauma & Dissociation, 12//(5), 535-548. https://doi.org/10.1080/15299732.2011.602181
Norman, E. (2017). Metacognition and mindfulness: The role of fringe consciousness. //Mindfulness, 8//(1), 95-100. https://doi.org/10.1007/s12671-016-0494-z
Ie, A., Haller, C.S., Langer, E.J., & Courvoisier, D.S. (2012). Mindful multitasking: The relationship between mindful flexibility and media multitasking. //Computers in Human Behavior, 28//(4), 1526-1532. https://doi.org/10.1016/j.chb.2012.03.022
Taylor, K.N., Harper, S., & Chadwick, P. (2009). Impact of mindfulness on cognition and affect in voice hearing: Evidence from two case studies. //Behavioural and Cognitive Psychotherapy, 37//(4), 397-402. https://doi.org/10.1017/S135246580999018X
Perona-Garcelan, S., Rodriguez-Testal, J., Senin-Calderon, C., Ruiz-Veguilla, M., & Hayward, M. (2017). Mindfulness as a mediator between the relational style with voices and negative affect. //Mindfulness, 8//(2), 454-459. https://doi.org/10.1007/s12671-016-0617-6
Perez-Alvarez, M., Garcia-Montes, J.M., Perona-Garcelan, S., & Vallina-Fernandez, O. (2008). Changing relationship with voices: New therapeutic perspectives for treating hallucinations. //Clinical Psychology & Psychotherapy, 15//(2), 75-85. https://doi.org/10.1002/cpp.563
Buccheri, R.K., Trygstad, L.N., Buffum, M.D., Ju, D.S., & Dowling, G.A. (2017). Integrating anxiety reduction into an existing self-management of auditory hallucinations course. //Journal of Psychosocial Nursing and Mental Health Services, 55//(5), 29-39. https://doi.org/10.3928/02793695-20170420-04
Teasdale, J.D., Moore, R.G., Hayhurst, H., Pope, M., Williams, S., & Segal, Z.V. (2002). Metacognitive awareness and prevention of relapse in depression: Empirical evidence. //Journal of Consulting and Clinical Psychology, 70//(2), 275-287. https://doi.org/10.1037//0022-006X.70.2.275
Perona-Garcelan, S., Garcia-Montes, J.M., Lopez-Jimenez, A.M., Rodriguez-Testal, J.F., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Perez-Alvarez, M. (2014). Relationship between self-focused attention and mindfulness in people with and without hallucination proneness. //Spanish Journal of Psychology, 17//. https://doi.org/10.1017/sjp.2014.23
Ubeda-Gomez, J., Leon-Palacios, M.G., Escudero-Perez, S., Barros-Albarran, M.D., Lopez-Jimenez, A.M., & Perona-Garcelan, S. (2015). Relationship between self-focused attention, mindfulness and distress in individuals with auditory verbal hallucinations. //Cognitive Neuropsychiatry, 20//(6), 482-488. https://doi.org/10.1080/13546805.2015.1089225
McEvoy, P.M., Graville, R., Hayes, S., Kane, R.T., & Foster, J.K. (2017). Mechanisms of change during attention training and mindfulness in high trait-anxious individuals: A randomized controlled study. //Behavior Therapy, 48//(5), 678-694. https://doi.org/10.1016/j.beth.2017.04.001
Johnson, D., & Gardner, J. (2009). Exploring mindlessness as an explanation for the media equation: A study of stereotyping in computer tutorials. //Personal and Ubiquitous Computing, 13//(2), 151-163. https://doi.org/10.1007/s00779-007-0193-9
Kang, M., & Gretzel, U. (2012). Effects of podcast tours on tourist experiences in a national park. //Tourism Management, 33//(2), 440-455. https://doi.org/10.1016/j.tourman.2011.05.005
Strauss, C., Hayward, M., & Chadwick, P. (2012). Group person-based cognitive therapy for chronic depression: A pilot randomized controlled trial. //British Journal of Clinical Psychology, 51//, 345-350. https://doi.org/10.1111/j.2044-8260.2012.02036.x
Wang, D.X., Zhang, Y.R., Yang, X.X., Yang, G.F., & Yang, Y. (2014). Force control tasks with pure haptic feedback promote short-term focused attention. //IEEE Transactions on Haptics, 7//(4), 467-476. https://doi.org/10.1109/TOH.2014.2359007
Wells, A. (2002). Gad, metacognition, and mindfulness: An information processing analysis. //Clinical Psychology-science and Practice, 9//(1), 95-100. https://doi.org/10.1093/clipsy/9.1.95
Holton, J.A., & Grandy, G. (2016). Voiced inner dialogue as relational reflection-on-action: The case of middle managers in health care. //Management Learning, 47//(4), 369-390. https://doi.org/10.1177/1350507616629602
Camaj, L., & Weaver, D.H. (2013). Need for orientation and attribute agenda-setting during a u.s. election campaign. //International Journal of Communication, 7//, 1442-1463.
Charoensukmongkol, P. (2016). Contribution of mindfulness to individuals' tendency to believe and share social media content. //International Journal of Technology and Human Interaction, 12//(3), 47-63. https://doi.org/10.4018/IJTHI.2016070104
Palagini, L., Ong, J.C., & Riemann, D. (2017). The mediating role of sleep-related metacognitive processes in trait and pre-sleep state hyperarousal in insomnia disorder. //Journal of Psychosomatic Research, 99//, 59-65. https://doi.org/10.1016/j.jpsychores.2017.03.001
Charoensukmongkol, P. (2016). Mindful Facebooking: The moderating role of mindfulness on the relationship between social media use intensity at work and burnout. //Journal of Health Psychology, 21//(9), 1966-1980. https://doi.org/10.1177/1359105315569096
Carciofo, R., Song, N., Du, F., Wang, M.M., & Zhang, K. (2017). Metacognitive beliefs mediate the relationship between mind wandering and negative affect. //Personality and Individual Differences, 107//, 78-87. https://doi.org/10.1016/j.paid.2016.11.033
Gaudiano, B.A., & Herbert, J.D. (2006). Believability of hallucinations as a potential mediator of their frequency and associated distress in psychotic inpatients. //Behavioural and Cognitive Psychotherapy, 34//(4), 497-502. https://doi.org/10.1017/S1352465806003080
Hong, J.C., Tsai, C.R., Fan-Chiang, C., & Hwang, M.Y. (2016). Mindfulness in learning safe sex via social media: Perspectives of personality and experiential value. //Computers in Human Behavior, 64//, 337-346. https://doi.org/10.1016/j.chb.2016.06.033
Linares, L., Jauregui, P., Herrero-Fernandez, D., & Estevez, A. (2016). Mediating role of mindfulness as a trait between attachment styles and depressive symptoms. //Journal of Psychology, 150//(7), 881-896. https://doi.org/10.1080/00223980.2016.1207591
Sugiura, T., Sugiura, Y., & Tanno, Y. (2013). Relationships among refraining from catastrophic thinking, worrying, and metacognitive beliefs. //Psychological Reports, 113//(1), 1-14. https://doi.org/10.2466/02.09.PR0.113x14z3
Dantoni, M.L., Harvey, P.L., & Fried, M.P. (1995). Alternative medicine: Does it play a role in the management of voice disorders. //Journal of Voice, 9//(3), 308-311. https://doi.org/10.1016/S0892-1997(05)80239-5
Healey, K. (2015). Contemplative media studies. //Religions, 6//(3), 948-968. https://doi.org/10.3390/rel6030948
Perona-Garcelan, S., Garcia-Montes, J.M., Rodriguez-Testal, J.F., Lopez-Jimenez, A.M., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Benitez-Hernandez, M.D. (2014). Relationship between childhood trauma, mindfulness, and dissociation in subjects with and without hallucination proneness. //Journal of Trauma & Dissociation, 15//(1), 35-51. https://doi.org/10.1080/15299732.2013.821433
Halliwell, E. (2013). The impact of thin idealized media images on body satisfaction: Does body appreciation protect women from negative effects?. //Body Image, 10//(4), 509-514. https://doi.org/10.1016/j.bodyim.2013.07.004
Murphy, E.K., Tully, S., Pyle, M., Gumley, A.I., Kingdon, D., Schwannauer, M., ... & Morrison, A.P. (2017). The beliefs about paranoia scale: Confirmatory factor analysis and tests of a metacognitive model of paranoia in a clinical sample. //Psychiatry Research, 248//, 87-94. https://doi.org/10.1016/j.psychres.2016.11.012
Gaudiano, B.A., & Herbert, J.D. (2006). Acute treatment of inpatients with psychotic symptoms using acceptance and commitment therapy: Pilot results. //Behaviour Research and Therapy, 44//(3), 415-437. https://doi.org/10.1016/j.brat.2005.02.007
Pisano, J., Pettit, N., Bartlett, A., Bhagat, P., Han, Z., Liao, C.H., ... & Landon, E. (2016). Social media as a tool for antimicrobial stewardship. //American Journal of Infection Control, 44//(11), 1231-1236. https://doi.org/10.1016/j.ajic.2016.07.005
Murakami, H., Matsunaga, M., & Ohira, H. (2009). Association of serotonin transporter gene polymorphism and emotion regulation. //NeuroReport, 20//(4), 414-418. https://doi.org/10.1097/WNR.0b013e328325a910
Zougkou, K., Weinstein, N., & Paulmann, S. (2017). ERP correlates of motivating voices: Quality of motivation and time-course matters. //Social Cognitive and Affective Neuroscience, 12//(10), 1687-1700. https://doi.org/10.1093/scan/nsx064
Ong, J.C., Ulmer, C.S., & Manber, R. (2012). Improving sleep with mindfulness and acceptance: A metacognitive model of insomnia. //Behaviour Research and Therapy, 50//(11), 651-660. https://doi.org/10.1016/j.brat.2012.08.001
Teasdale, J.D. (1999). Metacognition, mindfulness and the modification of mood disorders. //Clinical Psychology & Psychotherapy, 6//(2), 146-155. https://doi.org/10.1002/(SICI)1099-0879(199905)6:2%3C146::AID-CPP195%3E3.0.CO;2-E
[img[tps44.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Ghorbani, N., Watson, P.J., Rezazadeh, Z., & Cunningham, C.J.L. (2011). Dialogical Validity of Religious Measures in Iran: Relationships with Integrative Self-Knowledge and Self-Control of the “Perfect Man” (Ensān-e Kāmel). //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 33//(1), 93-113. https://doi.org/10.1163/157361211X552209
Ijaz, S., Khalily, M.T., & Ahmad, I. (2017). Mindfulness in Salah prayer and its association with mental health. //Journal of Religion & Health, 56//(6), 2297-2307. https://doi.org/10.1007/s10943-017-0413-1
Newberg, A.B., Wintering, N.A., Yaden, D.B., Waldman, M.R., Reddin, J., & Alavi, A. (2015). A case series study of the neurophysiological effects of altered states of mind during intense Islamic prayer. //Journal of Physiology - Paris, 109//(42831), 214-220. https://doi.org/10.1016/j.jphysparis.2015.08.001
Ghorbani, N., Watson, P.J., Madani, M., & Chen, Z.J. (2016). Muslim experiential religiousness: Spirituality relationships with psychological and religious adjustment in Iran. //Journal of Spirituality in Mental Health, 18//(4), 300-315. https://doi.org/10.1080/19349637.2016.1162676
Ghorbani, N., & Watson, P.J. (2009). Mysticism and self-determination in Iran: Multidimensional complexity of relationships with basic need satisfaction and mindfulness. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 31//(1), 75-90. https://doi.org/10.1163/157361209X371500
Ghorbani, N., Watson, P.J., Tahbaz, S., & Chen, Z.J. (2017). Religious and psychological implications of positive and negative religious coping in Iran. //Journal of Religion & Health, 56//(2), 477-492. https://doi.org/10.1007/s10943-016-0228-5
Monroe, N., & Jankowski, P.J. (2016). The effectiveness of a prayer intervention in promoting change in perceived attachment to God, positive affect, and psychological distress. //Spirituality in Clinical Practice, 3//(4), 237-249. https://doi.org/10.1037/scp0000117
Wayment, H.A., Bauer, J.J., & Sylaska, K. (2015). The quiet ego scale: Measuring the compassionate self-identity. //Journal of Happiness Studies, 16//(4), 999-1033. https://doi.org/10.1007/s10902-014-9546-z
Wayment, H.A., Wiist, B., Sullivan, B.M., & Warren, M.A. (2011). Doing and being: Mindfulness, health, and quiet ego characteristics among Buddhist practitioners. //Journal of Happiness Studies, 12//(4), 575-589. https://doi.org/10.1007/s10902-010-9218-6
Ghorbani, N., Watson, P.J., Farhadi, M., & Chen, Z. (2014). A multi-process model of self-regulation: Influences of mindfulness, integrative self-knowledge and self-control in Iran. //International Journal of Psychology, 49//(2), 115-122. https://doi.org/10.1002/ijop.12033
Lewis, G.J., Ritchie, S.J., & Bates, T.C. (2011). The relationship between intelligence and multiple domains of religious belief: Evidence from a large adult US sample. //Intelligence, 39//(6), 468-472. https://doi.org/10.1016/j.intell.2011.08.002
Hidajat, M., Zimmer, Z., Saito, Y., & Lin, H.S. (2013). Religious activity, life expectancy, and disability-free life expectancy in Taiwan. //European Journal of Ageing, 10//(3), 229-236. https://doi.org/10.1007/s10433-013-0273-9
Hathaway, W., & Tan, E. (2009). Religiously oriented mindfulness-based cognitive therapy. //Journal of Clinical Psychology, 65//(2), 158-171. https://doi.org/10.1002/jclp.20569
Fox, J., Gutierrez, D., Haas, J., & Durnford, S. (2016). Centering prayer's effects on psycho-spiritual outcomes: A pilot outcome study. //Mental Health Religion & Culture, 19//(4), 379-392. https://doi.org/10.1080/13674676.2016.1203299
Parsons, S.F. (2012). The practice of Christian ethics: Mindfulness and faith. //Studies in Christian Ethics, 25//(4), 442-453. https://doi.org/10.1177/0953946812454790
Wayment, H.A., Collier, A.F., Birkett, M., Traustadottir, T., & Till, R.E. (2015). Brief quiet ego contemplation reduces oxidative stress and mind-wandering. //Frontiers in Psychology, 6//,1481. https://doi.org/10.3389/fpsyg.2015.01481
Frederick, T., & White, K.M. (2015). Mindfulness, christian devotion meditation, surrender, and worry. //Mental Health Religion & Culture, 18//(10), 850-858. https://doi.org/10.1080/13674676.2015.1107892
Ford, K., & Garzon, F. (2017). Research note: A randomized investigation of evangelical Christian accommodative mindfulness. //Spirituality in Clinical Practice, 4//(2), 92-99. https://doi.org/10.1037/scp0000137
Lancaster, B.L. (2015). Hermeneutic neurophenomenology in the science-religion dialogue: Analysis of states of consciousness in the zohar. //Religions, 6//(1), 146-171. https://doi.org/10.3390/rel6010146
McCann, R.A., & Webb, M. (2012). Enduring and struggling with god in relation to traumatic symptoms: The mediating and moderating roles of cognitive flexibility. //Psychology of Religion and Spirituality, 4//(2), 143-153. https://doi.org/10.1037/a0026404
de Castro, J.M. (2015). Meditation has stronger relationships with mindfulness, kundalini, and mystical experiences than yoga or prayer. //Consciousness and Cognition, 35//, 115-127. https://doi.org/10.1016/j.concog.2015.04.022
Allen, R.S., Harris, G.M., Crowther, M.R., Oliver, J.S., Cavanaugh, R., & Phillips, L.L. (2013). Does religiousness and spirituality moderate the relations between physical and mental health among aging prisoners?. //International Journal of Geriatric Psychiatry, 28//(7), 710-717. https://doi.org/10.1002/gps.3874
Knabb, J.J., Frederick, T.V., & Cumming, G. (2017). Surrendering to god’s providence: A three-part study on providence-focused therapy for recurrent worry (PFT-RW).. //Psychology of Religion and Spirituality, 9//(2), 180-196. https://doi.org/10.1037/rel0000081
Boczkowska, M.M., & Zieba, M. (2016). Preliminary study of religious, spiritual and mystical experiences. Thematic analysis of poles adult's narratives. //Current Issues in Personality Psychology, 4//(3), 167-176. https://doi.org/10.5114/CIPP.2016.61484
Whittington, B.L., & Scher, S.J. (2010). Prayer and subjective well-being: An examination of six different types of prayer. //International Journal for the Psychology of Religion, 20//(1), 59-68. https://doi.org/10.1080/10508610903146316
Henning, M.A., Krageloh, C., Thompson, A., Sisley, R., Doherty, I., & Hawken, S.J. (2015). Religious affiliation, quality of life and academic performance: New Zealand medical students. //Journal of Religion & Health, 54//(1), 3-19. https://doi.org/10.1007/s10943-013-9769-z
DeWall, C.N., Pond, R.S., Carter, E.C., McCullough, M.E., Lambert, N.M., Fincham, F.D., ... & Nezlek, J.B. (2014). Explaining the relationship between religiousness and substance use: Self-control matters. //Journal of Personality and social psychology, 107//(2), 339-351. https://doi.org/10.1037/a0036853
Agarwal, A., & Chaudhary, N. (2016). Religious practices, age and gender as determinants of psychological well-being. //Indian Journal of Psychological Science, 6//(2), 32-37.
Bartkowski, J.P., Acevedo, G.A., & Van Loggerenberg, H. (2017). Prayer, meditation, and anxiety: Durkheim revisited. //Religions, 8//(9). https://doi.org/10.3390/rel8090191
Knabb, J.J. (2012). Centering prayer as an alternative to mindfulness-based cognitive therapy for depression relapse prevention. //Journal of Religion & Health, 51//(3), 908-924. https://doi.org/10.1007/s10943-010-9404-1
Tapanya, S., Nicki, R., & Jarusawad, O. (1997). Worry and intrinsic/extrinsic religious orientation among Buddhist (Thai) and Christian (Canadian) elderly persons. //International Journal of Aging & Human Development, 44//(1), 73-83. https://doi.org/10.2190/ENQG-HNV4-5G0D-CQ88
Wilt, J.A., Cooper, E.B., Grubbs, J.B., Exline, J.J., & Pargament, K.I. (2016). Associations of perceived addiction to internet pornography with religious/spiritual and psychological functioning. //Sexual Addiction & Compulsivity : The Journal of Treatment and Prevention, 23//(42769), 260-278. https://doi.org/10.1080/10720162.2016.1140604
Rubinart, M., Moynihan, T., & Deus, J. (2016). Using the collaborative inquiry method to explore the Jesus prayer. //Spirituality in Clinical Practice, 3//(2), 139-151. https://doi.org/10.1037/scp0000104
Bowen, S., Bergman, A.L., & Witkiewitz, K. (2015). Engagement in Buddhist meditation practices among non-Buddhists: Associations with religious identity and practice. //Mindfulness, 6//(6) ,1456–1461. https://doi.org/10.1007/s12671-015-0420-9
Granqvist, P., Mikulincer, M., & Shaver, P.R. (2010). Religion as attachment: Normative processes and individual differences. //Personality and Social Psychology Review, 14//(1), 49-59. https://doi.org/10.1177/1088868309348618
Bussing, A., Hedtstuck, A., Khalsa, S.B.S., Ostermann, T., & Heusser, P. (2012). Development of specific aspects of spirituality during a 6-month intensive yoga practice. //Evidence-based Complementary and Alternative Medicine//, 981523. https://doi.org/10.1155/2012/981523
Sooksawat, A., Janwantanakul, P., Tencomnao, T., & Pensri, P. (2013). Are religious beliefs and practices of Buddhism associated with disability and salivary cortisol in office workers with chronic low back pain?. //BMC Musculoskeletal Disorders, 14//. https://doi.org/10.1186/1471-2474-14-29
Parsons, S. (2016). The strange work of dying. //Studies in Christian Ethics, 29//(3), 308-314. https://doi.org/10.1177/0953946816642983
Stoeber, M. (2015). Exploring Processes and Dynamics of Mystical Contemplative Meditation: Some Christian-Buddhist Parallels in Relation to Transpersonal Theory. //European Journal for Philosophy of Religion, 7//(2), 35-57. https://doi.org/10.24204/ejpr.v7i2.119
Plante, T.G. (2016). Beyond mindfulness expanding integration of spirituality and religion into psychotherapy. //Open Theology, 2//(1), 135-144. https://doi.org/10.1515/opth-2016-0011
Aldwin, C.M., Park, C.L., Jeong, Y.J., & Nath, R. (2014). Differing pathways between religiousness, spirituality, and health: A self-regulation perspective. //Psychology of Religion and Spirituality, 6//(1), 9-21. https://doi.org/10.1037/a0034416
Greeson, J.M., Smoski, M.J., Suarez, E.C., Brantley, J.G., Ekblad, A.G., Lynch, T.R., ... & Wolever, R.Q. (2015). Decreased symptoms of depression after mindfulness-based stress reduction: Potential moderating effects of religiosity, spirituality, trait mindfulness, sex, and age. //Journal of Alternative and Complementary Medicine, 21//(3), 166-174. https://doi.org/10.1089/acm.2014.0285
Smith, D.W. (2011). Nibbanic (or pure) consciousness and beyond. //Philosophia, 39//(3), 475-491. https://doi.org/10.1007/s11406-011-9312-y
George, K.M. (2008). Ethical pleasure, visual //dzikir//, and artistic subjectivity in contemporary Indonesia. //Material Religion, 4//(2), 172-192. https://doi.org/10.2752/175183408X328299
Lauche, R., Fathi, I., Saddat, C., Klose, P., Al-Abtah, J., Bussing, A., ... & Cramer, H. (2016). The effects of Ramadan fasting on physical and mental health in healthy adult Muslims—Study protocol for a randomised controlled trial. //Advances in Integrative Medicine, 3//(1), 26-30. https://doi.org/10.1016/j.aimed.2016.07.001
Stevens, B.A. (2016). Mindfulness: A positive spirituality for ageing?. //Australasian Journal on Ageing, 35//(3), 156-158. https://doi.org/10.1111/ajag.12346
Lo, H.H.M., Ng, S.M., & Chan, C.L.W. (2015). Evaluating compassion-mindfulness therapy for recurrent anxiety and depression: A randomized control trial. //Research on Social Work Practice, 25//(6), 715-725. https://doi.org/10.1177/1049731514537686
Heaven, P.C.L., & Ciarrochi, J. (2007). Personality and religious values among adolescents: A three-wave longitudinal analysis. //British Journal of Psychology, 98//, 681-694. https://doi.org/10.1348/000712607X187777
Bussing, A., Warode, M., Gerundt, M., & Dienberg, T. (2017). Validation of a Novel Instrument to Measure Elements of Franciscan-Inspired Spirituality in a General Population and in Religious Persons. //Religions, 8//(9). https://doi.org/10.3390/rel8090197
Shapiro, D.H. (1994). Examining the content and context of meditation - a challenge for psychology in the areas of stress management, psychotherapy, and religion values. //Journal of Humanistic Psychology, 34//(4), 101-135. https://doi.org/10.1177/00221678940344008
Jankowski, P.J., & Sandage, S.J. (2014). Meditative prayer and intercultural competence: Empirical test of a differentiation-based model. //Mindfulness, 5//(4), 360-372. https://doi.org/10.1007/s12671-012-0189-z
Ridge, D., Williams, I., Anderson, J., & Elford, J. (2008). Like a prayer: The role of spirituality and religion for people living with HIV in the UK. //Sociology of Health & Illness, 30//(3), 413-428. https://doi.org/10.1111/j.1467-9566.2007.01062.x
Kato, H. (2016). The relationship between the psychology of religion and Buddhist psychology. //Japanese Psychological Research, 58//, 70-84. https://doi.org/10.1111/jpr.12121
Helderman, I.P. (2016). Drawing the boundaries between "religion" and "secular" in psychotherapists' approaches to Buddhist traditions in the united states. //Journal of the American Academy of Religion, 84//(4), 937-972. https://doi.org/10.1093/jaarel/lfw003
Selvam, S.G. (2015). Character strengths in the context of Christian contemplative practice facilitating recovery from alcohol misuse: Two case studies. //Journal of Spirituality in Mental Health, 17//(3), 190-211. https://doi.org/10.1080/19349637.2015.1053302
Kober, S.E., Witte, M., Ninaus, M., Koschutnig, K., Wiesen, D., Zaiser, G., ... & Wood, G. (2017). Ability to gain control over one's own brain activity and its relation to spiritual practice: A multimodal imaging study. //Frontiers in Human Neuroscience, 11//,271. https://doi.org/10.3389/fnhum.2017.00271
Cole, N.N., Nonterah, C.W., Utsey, S.O., Hook, J.N., Hubbard, R.R., Opare-Henaku, A., ... & Fischer, N.L. (2015). Predictor and moderator effects of ego resilience and mindfulness on the relationship between academic stress and psychological well-being in a sample of Ghanaian college students. //Journal of Black Psychology, 41//(4), 340-357. https://doi.org/10.1177/0095798414537939
Phillips, R.E., Cheng, C.M., Oemig, C., Hietbrink, L., & Vonnegut, E. (2012). Validation of a Buddhist coping measure among primarily non-Asian Buddhists in the United States. //Journal for the Scientific Study of Religion, 51//(1), 156-172. https://doi.org/10.1111/j.1468-5906.2012.01620.x
[img[tps45.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Houghton, F., & Houghton, S. (2015). Therapeutic micro-environments in the Edgelands: A thematic analysis of Richard Mabey's The Unofficial Countryside. //Social Science & Medicine, 133//, 280-286. https://doi.org/10.1016/j.socscimed.2014.11.040
Klatt, M.D., Weinhold, K., Taylor, C.A., Zuber, K., & Sieck, C.J. (2017). A pragmatic introduction of mindfulness in a continuing education setting: Exploring personal experience, bridging to professional practice. //Explore: The Journal of Science and Healing, 13//(5), 327-332. https://doi.org/10.1016/j.explore.2017.06.003
Barnett, A.I., & Fry, C.L. (2015). The clinical impact of the brain disease model of alcohol and drug addiction: Exploring the attitudes of community-based aod clinicians in australia. //Neuroethics, 8//(3), 271-282. https://doi.org/10.1007/s12152-015-9236-5
Dill, B., & Holton, R. (2014). The addict in us all. //Frontiers in Psychiatry, 5//,139. https://doi.org/10.3389/fpsyt.2014.00139
Shonin, E., Van Gordon, W., & Griffiths, M.D. (2016). Ontological addiction: Classification, etiology, and treatment. //Mindfulness, 7//(3), 660-671. https://doi.org/10.1007/s12671-016-0501-4
Freeman, M.P., Fava, M., Lake, J., Trivedi, M.H., Wisner, K.L., & Mischoulon, D. (2010). Complementary and alternative medicine in major depressive disorder: The american psychiatric association task force report. //Journal of Clinical Psychiatry, 71//(6), 669-681. https://doi.org/10.4088/JCP.10cs05959blu
Winter, C. (2012). Geography and education ii: Policy reform, humanities and the future of school geography in England. //Progress in Human Geography, 36//(2), 254-262. https://doi.org/10.1177/0309132510394782
Park, C. (2013). Mind-body cam interventions: Current status and considerations for integration into clinical health psychology. //Journal of Clinical Psychology, 69//(1), 45-63. https://doi.org/10.1002/jclp.21910
Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Meditation awareness training for the treatment of sex addiction: A case study. //Journal of Behavioral Addictions, 5//(2), 363-372. https://doi.org/10.1556/2006.5.2016.034
Mansky, P.J., & Wallerstedt, D.B. (2006). Complementary medicine in palliative care and cancer symptom management. //Cancer Journal, 12//(5), 425-431. https://doi.org/10.1097/00130404-200609000-00011
Mehl-Madrona, L., Mainguy, B., & Plummer, J. (2016). Integration of complementary and alternative medicine therapies into primary-care pain management for opiate reduction in a rural setting. //Journal of Alternative and Complementary Medicine, 22//(8), 621-626. https://doi.org/10.1089/acm.2015.0212
Whitehead, M., Lilley, R., Howell, R., Jones, R., & Pykett, J. (2016). (Re)Inhabiting awareness: geography and mindfulness. //Social & Cultural Geography, 17//(4), 553-573. https://doi.org/10.1080/14649365.2015.1089590
Rakel, D.P., Guerrera, M.P., Bayles, B.P., Desai, G.J., & Ferrara, E. (2008). Cam education: Promoting a salutogenic focus in health care. //Journal of Alternative and Complementary Medicine, 14//(1), 87-93. https://doi.org/10.1089/acm.2007.0562
Loree, A.M., Ondersma, S.J., & Grekin, E.R. (2017). Toward enhancing treatment for pregnant smokers: Laying the groundwork for the use of complementary and alternative medicine approaches. //Nicotine & Tobacco Research, 19//(5), 562-571. https://doi.org/10.1093/ntr/ntw262
Ardame, A., Bassaknejad, S., Zargard, Y., Rokni, P., & Sayyah, M. (2014). Examine the relationship between mindfulness and drug craving in addicts undergoing methadone maintenance treatment. //Iranian Journal of Public Health, 43//(3), 349-354. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419173/
Tang, Y.Y., Tang, R.X., & Posner, M.I. (2016). Mindfulness meditation improves emotion regulation and reduces drug abuse. //Drug and Alcohol Dependence, 163//, S13-S18. https://doi.org/10.1016/j.drugalcdep.2015.11.041
Arslan, G. (2017). Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: A study of mediation effect. //Computers in Human Behavior, 72//, 57-66. https://doi.org/10.1016/j.chb.2017.02.037
Hull, A., Holliday, S.B., Eickhoff, C., Rose-Boyce, M., Sullivan, P., & Reinhard, M. (2015). The integrative health and wellness program: Development and use of a complementary and alternative medicine clinic for veterans. //Alternative Therapies in Health and Medicine, 21//(6), 12-21.
Iskender, M., & Akin, A. (2011). Self-compassion and internet addiction. //Turkish Online Journal of Educational Technology, 10//(3), 215-221.
Bruehlman-Senecal, E., & Ayduk, O. (2015). This too shall pass: Temporal distance and the regulation of emotional distress. //Journal of Personality and social psychology, 108//(2), 356-376. https://doi.org/10.1037/a0038324
Baarts, C., & Pedersen, I.K. (2009). Derivative benefits: Exploring the body through complementary and alternative medicine. //Sociology of Health & Illness, 31//(5), 719-733. https://doi.org/10.1111/j.1467-9566.2009.01163.x
DiNardo, M.M., Gibson, J.M., Siminerio, L., Morell, A.R., & Lee, E.S. (2012). Complementary and alternative medicine in diabetes care. //Current Diabetes Reports, 12//(6), 749-761. https://doi.org/10.1007/s11892-012-0315-2
Liu, Q.Q., Zhou, Z.K., Yang, X.J., Kong, F.C., Niu, G.F., & Fan, C.Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model. //Computers in Human Behavior, 72//, 108-114. https://doi.org/10.1016/j.chb.2017.02.042
Garland, E.L. (2016). Restructuring reward processing with mindfulness-oriented recovery enhancement: Novel therapeutic mechanisms to remediate hedonic dysregulation in addiction, stress, and pain. //Special issue: Advances in meditation research, 1373//, 25-37. https://doi.org/10.1111/nyas.13034
Plews-Ogan, M., Owens, J.E., Goodman, M., Wolfe, P., & Schorling, J. (2005). Brief report: A pilot study evaluating mindfulness-based stress reduction and massage for the management of chronic pain. //Journal of General Internal Medicine, 20//(12), 1136-1138. https://doi.org/10.1111/j.1525-1497.2005.0247.x
Barry, D.T., Beitel, M., Cutter, C.J., Garnet, B., Joshi, D., Schottenfeld, R.S., ... & Rounsaville, B.J. (2009). Allopathic, complementary, and alternative medical treatment utilization for pain among methadone-maintained patients. //American Journal on Addictions, 18//(5), 379-385. https://doi.org/10.1080/10550490903077671
Groves, P. (2014). Buddhist approaches to addiction recovery. //Religions, 5//(4), 985-1000. https://doi.org/10.3390/rel5040985
Moss, A.C., Erskine, J.A.K., Albery, I.P., Allen, J.R., & Georgiou, G.J. (2015). To suppress, or not to suppress? that is repression: Controlling intrusive thoughts in addictive behaviour. //Addictive Behaviors, 44//, 65-70. https://doi.org/10.1016/j.addbeh.2015.01.029
Bowen, S., Somohano, V.C., Rutkie, R.E., Manuel, J.A., & Rehder, K.L. (2017). Mindfulness-based relapse prevention for methadone maintenance: A feasibility trial. //Journal of Alternative and Complementary Medicine, 23//(7), 541-544. https://doi.org/10.1089/acm.2016.0417
Goyal, M., Haythornthwaite, J., Levine, D., Becker, D., Vaidya, D., Hill-Briggs, F., ... & Ford, D. (2010). Intensive meditation for refractory pain and symptoms. //Journal of Alternative and Complementary Medicine, 16//(6), 627-631. https://doi.org/10.1089/acm.2009.0372
Potas, N., Ercetin, S.S., Yilmaz, M., Acikalin, S.N., Gungor, H., & Akyol, E.S. (2016). 3D scale for awareness, attitude, stigma of addiction. //Studies on Ethno-Medicine, 10//(2), 156-165. https://doi.org/10.1080/09735070.2016.11905484
Khoury, B., Lecomte, T., Comtois, G., & Nicole, L. (2015). Third-wave strategies for emotion regulation in early psychosis: A pilot study. //Early Intervention in Psychiatry, 9//(1), 76-83. https://doi.org/10.1111/eip.12095
Witkiewitz, K., Bowen, S., Harrop, E.N., Douglas, H., Enkema, M., & Sedgwick, C. (2014). Mindfulness-based treatment to prevent addictive behavior relapse: Theoretical models and hypothesized mechanisms of change. //Substance Use & Misuse, 49//(5), 513-524. https://doi.org/10.3109/10826084.2014.891845
Borras, L., Khazaal, Y., Khan, R., Mohr, S., Kaufmann, Y.A., Zullino, D., ... & Huguelet, P. (2010). The relationship between addiction and religion and its possible implication for care. //Substance Use & Misuse, 45//(14), 2357-2375. https://doi.org/10.3109/10826081003747611
Wilt, J.A., Cooper, E.B., Grubbs, J.B., Exline, J.J., & Pargament, K.I. (2016). Associations of perceived addiction to internet pornography with religious/spiritual and psychological functioning. //Sexual Addiction & Compulsivity : The Journal of Treatment and Prevention, 23//(42769), 260-278. https://doi.org/10.1080/10720162.2016.1140604
Sriwilai, K., & Charoensukmongkol, P. (2016). Face it, don't Facebook it: Impacts of social media addiction on mindfulness, coping strategies and the consequence on emotional exhaustion. //Stress and Health, 32//(4), 427-434. https://doi.org/10.1002/smi.2637
Jones, M.I., & Parker, J.K. (2016). A conditional process model of the effect of mindfulness on 800-m personal best times through pain catastrophising. //Journal of Sports Sciences, 34//(12), 1132-1140. https://doi.org/10.1080/02640414.2015.1093648
Arevalo, S., Prado, G., & Amaro, H. (2008). Spirituality, sense of coherence, and coping responses in women receiving treatment for alcohol and drug addiction. //Evaluation and Program Planning, 31//(1), 113-123. https://doi.org/10.1016/j.evalprogplan.2007.05.009
Ashe, M.L., Newman, M.G., & Wilson, S.J. (2015). Delay discounting and the use of mindful attention versus distraction in the treatment of drug addiction: A conceptual review. //Journal of the Experimental Analysis of Behavior, 103//(1), 234-248. https://doi.org/10.1002/jeab.122
[img[tps46.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Snowden, A., Stenhouse, R., Young, J., Carver, H., Carver, F., & Brown, N. (2015). The relationship between emotional intelligence, previous caring experience and mindfulness in student nurses and midwives: A cross sectional analysis. //Nurse Education Today, 35//(1), 152-158. https://doi.org/10.1016/j.nedt.2014.09.004
Szabo, K.G., Vargha, J.L., Balazsi, R., Bartalus, J., & Bogdan, V. (2011). Measuring psychological flexibility: Preliminary data on the psychometric properties of the Romanian version of the Acceptance and Action Questionnaire (AAQ-II). //Journal of Cognitive and Behavioral Psychotherapies, 11//(1), 67-82.
Chaix, R., Alvarez-Lopez, M.J., Fagny, M., Lemee, L., Regnault, B., Davidson, R.J., ... & Kaliman, P. (2017). Epigenetic clock analysis in long-term meditators. //Psychoneuroendocrinology, 85//, 210-214. https://doi.org/10.1016/j.psyneuen.2017.08.016
Gard, T., Taquet, M., Dixit, R., Holzel, B.K., de Montjoye, Y.A., Brach, N., ... & Lazar, S.W. (2014). Fluid intelligence and brain functional organization in aging yoga and meditation practitioners. //Frontiers in Aging Neuroscience, 6//, 76. https://doi.org/10.3389/fnagi.2014.00076
Ruiz, F.J., Suarez-Falcon, J.C., Cardenas-Sierra, S., Duran, Y., Guerrero, K., & Riano-Hernandez, D. (2016). Psychometric Properties of the Acceptance and Action Questionnaire–II in Colombia. //Psychological Record, 66//(3), 429-437. https://doi.org/10.1007/s40732-016-0183-2
Heshmati, R., & Ahmadkhanloo, E. (2017). Emotional intelligence, emotional self-regulation and dispositional mindfulness in high school gifted students. //Mediterranean Journal of Clinical Psychology, 5//(2). https://doi.org/10.6092/2282-1619/2017.5.1552
Walker, J.V., & Peterson, G.W. (2012). Career thoughts, indecision, and depression: Implications for mental health assessment in career counseling. //Journal of Career Assessment, 20//(4), 497-506. https://doi.org/10.1177/1069072712450010
Fallah, N. (2017). Mindfulness, coping self-efficacy and foreign language anxiety: A mediation analysis. //Educational Psychology, 37//(6), 745-756. https://doi.org/10.1080/01443410.2016.1149549
Draus, P., Roddy, J., & Asabigi, K. (2016). Parallel paradoxes and useful uselessness: Notes on the confluence of ethnography, mindfulness, and recovery. //Sage Open, 6//(4). https://doi.org/10.1177/2158244016679684
Schutte, N.S., & Malouff, J.M. (2011). Emotional intelligence mediates the relationship between mindfulness and subjective well-being. //Personality and Individual Differences, 50//(7), 1116-1119. https://doi.org/10.1016/j.paid.2011.01.037
Fledderus, M., Voshaar, M.A.H.O., ten Klooster, P.M., & Bohlmeijer, E.T. (2012). Further evaluation of the psychometric properties of the acceptance and action questionnaire-ii. //Psychological Assessment, 24//(4), 925-936. https://doi.org/10.0377/a00128200
Harrison, N. (2012). Investigating the impact of personality and early life experiences on intercultural interaction in internationalised universities. //International Journal of Intercultural Relations, 36//(2), 224-237. https://doi.org/10.1016/j.ijintrel.2011.03.007
Jonck, P., & Swanepoel, E. (2015). Exploring the theoretical link between cultural and emotional intelligence: A system analysis for human resource management. //South African Journal of Business Management, 46//(4), 77-83.
Young, G., Kilborn, M., Arnold, C., Azam, S., Badenhorst, C., Godfrey, J.R., ... & Pickett, S. (2017). Women reflect on being well in academia: Challenges and supports. //Learning Landscapes, 10//(2), 335-351.
Singh, Y., Sharma, R., & Talwar, A. (2012). Immediate and long-term effects of meditation on acute stress reactivity, cognitive functions, and intelligence. //Alternative Therapies in Health and Medicine, 18//(6), 46-53 . https://www.medscape.com/medline/abstract/23251943
Lundgren, T., & Parling, T. (2017). Swedish Acceptance and Action Questionnaire (SAAQ): a psychometric evaluation. //Cognitive Behaviour Therapy, 46//(4), 315-326. https://doi.org/10.1080/16506073.2016.1250228
Swannell, E.J., & McDermott, M.R. (2015). Measuring and predicting mental health literacy for depression. //International Journal of Mental Health Promotion, 17//(5), 293-311. https://doi.org/10.1080/14623730.2015.1089010
Wang, Y., & Kong, F. (2014). The role of emotional intelligence in the impact of mindfulness on life satisfaction and mental distress. //Social Indicators Research, 116//(3), 843-852. https://doi.org/10.1007/s11205-013-0327-6
Nel, N., Nel, J.A., Adams, B.G., & de Beer, L.T. (2015). Assessing cultural intelligence, personality and identity amongst young white Afrikaans-speaking students: A preliminary study. //SA Journal of Human Resource Management, 13//(1). https://doi.org/10.4102/sajhrm.v13i1.643
Bechthold, M., & Sayegh, A. (2015). Hacking science: The alive group's material design methods for interdisciplinary environments. //Architectural Design, 85//(5), 108-113. https://doi.org/10.1002/ad.1962
Wright, C.J., & Schutte, N.S. (2014). The relationship between greater mindfulness and less subjective experience of chronic pain: Mediating functions of pain management self-efficacy and emotional intelligence. //Australian Journal of Psychology, 66//(3), 181-186. https://doi.org/10.1111/ajpy.12041
Zhang, C.Q., Chung, P.K., Si, G.Y., & Liu, J.D. (2014). Psychometric Properties of the Acceptance and Action Questionnaire–II for Chinese college students and elite Chinese athletes. //Measurement and Evaluation in Counseling and Development, 47//(4), 256-270. https://doi.org/10.1177/0748175614538064
Park, H.J., & Dhandra, T.K. (2017). Relation between dispositional mindfulness and impulsive buying tendency: Role of trait emotional intelligence. //Personality and Individual Differences, 105//, 208-212. https://doi.org/10.1016/j.paid.2016.09.061
Pololi, L.H., & Evans, A.T. (2015). Group peer mentoring: An answer to the faculty mentoring problem? a successful program at a large academic department of medicine. //Journal of Continuing Education in the Health Professions, 35//(3), 192-200. https://doi.org/10.1002/chp.21296
Risan, P., Binder, P.E., & Milne, R.J. (2016). Emotional Intelligence in Police Interviews - Approach, Training and the Usefulness of the Concept. //Journal of Forensic Psychology Practice, 16//(5), 410-424. https://doi.org/10.1080/15228932.2016.1234143
Yang, K.P., & Wu, X.J. (2009). Spiritual Intelligence of Nurses in Two Chinese Social Systems: A Cross-Sectional Comparison Study. //Journal of Nursing Research, 17//(3), 189-198. https://doi.org/10.1097/JNR.0b013e3181b2556c
Hoare, P.N., McIlveen, P., & Hamilton, N. (2012). Acceptance and commitment therapy (ACT) as a career counselling strategy. //International Journal for Educational and Vocational Guidance, 12//(3), 171-187. https://doi.org/10.1007/s10775-012-9224-9
Karekla, M., & Michaelides, M.P. (2017). Validation and invariance testing of the Greek adaptation of the Acceptance and Action Questionnaire -II across clinical vs. nonclinical samples and sexes. //Journal of Contextual Behavioral Science, 6//(1), 119-124. https://doi.org/10.1016/j.jcbs.2016.11.006
Rasmussen, M.K. (2016). A feasibility study of mindfulness-based cognitive therapy for foreign nationals living in Japan. //Advances in Mental Health, 14//(1), 48-56. https://doi.org/10.1080/18387357.2015.1074777
[img[tps47.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Biesinger, E., Kipman, U., Schatz, S., & Langguth, B. (2010). Qigong for the treatment of tinnitus: A prospective randomized controlled study. //Journal of Psychosomatic Research, 69//(3), 299-304. https://doi.org/10.1016/j.jpsychores.2010.04.013
Kreuzer, P.M., Poeppl, T.B., Bulla, J., Schlee, W., Lehner, A., Langguth, B., ... & Schecklmann, M. (2016). A proof-of-concept study on the combination of repetitive transcranial magnetic stimulation and relaxation techniques in chronic tinnitus. //Journal of Neural Transmission, 123//(10), 1147-1157. https://doi.org/10.1007/s00702-016-1588-4
Gans, J.J., O'Sullivan, P., & Bircheff, V. (2014). Mindfulness based tinnitus stress reduction pilot study a symptom perception-shift program. //Mindfulness, 5//(3), 322-333. https://doi.org/10.1007/s12671-012-0184-4
Roland, L.T., Lenze, E.J., Hardin, F.M., Kallogjeri, D., Nicklaus, J., Wineland, A.M., ... & Piccirillo, J.F. (2015). Effects of mindfulness based stress reduction therapy on subjective bother and neural connectivity in chronic tinnitus. //Otolaryngology-Head and Neck Surgery, 152//(5), 919-926. https://doi.org/10.1177/0194599815571556
Faber, P.L., Lehmann, D., Tei, S., Tsujiuchi, T., Kumano, H., Pascual-Marqui, R.D., ... & Kochi, K. (2012). EEG source imaging during two Qigong meditations. //Cognitive Processing, 13//(3), 255-265. https://doi.org/10.1007/s10339-012-0441-4
Leong, K., Chan, P., Grabovac, A., Wilkins-Ho, M., & Perri, M. (2013). Changes in mindfulness following repetitive transcranial magnetic stimulation for mood disorders. //Canadian Journal of Psychiatry, 58//(12), 687-691. https://doi.org/10.1177/070674371305801206
Kreuzer, P.M., Goetz, M., Holl, M., Schecklmann, M., Landgrebe, M., Staudinger, S., ... & Langguth, B. (2012). Mindfulness-and body-psychotherapy-based group treatment of chronic tinnitus: A randomized controlled pilot study. //BMC Complementary and Alternative Medicine, 12//, 235. https://doi.org/10.1186/1472-6882-12-235
Hesser, H., Gustafsson, T., Lunden, C., Henrikson, O., Fattahi, K., Johnsson, E., ... & Andersson, G. (2012). A randomized controlled trial of internet-delivered cognitive behavior therapy and acceptance and commitment therapy in the treatment of tinnitus. //Journal of Consulting and Clinical Psychology, 80//(4), 649-661. https://doi.org/10.1037/a0027021
Heeren, A., Maurage, P., Perrot, H., De Volder, A., Renier, L., Araneda, R., ... & Philippot, P. (2014). Tinnitus specifically alters the top-down executive control sub-component of attention: Evidence from the attention network task. //Behavioural Brain Research, 269//, 147-154. https://doi.org/10.1016/j.bbr.2014.04.043
Akin, U., & Akin, A. (2015). The predictive role of self-compassion on self-handicapping in Turkish university students. //Ceskoslovenska Psychologie, 59//(1), 33-43.
Tiwari, A., Chan, C.L.W., Ho, R.T.H., Tsao, G.S.W., Deng, W., Hong, A.W.L., ... & Ma, J.L.C. (2014). Effect of a qigong intervention program on telomerase activity and psychological stress in abused Chinese women: A randomized, wait-list controlled trial. //BMC Complementary and Alternative Medicine, 14//, 300. https://doi.org/10.1186/1472-6882-14-300
Sadlier, M., Stephens, S.D.G., & Kennedy, V. (2008). Tinnitus rehabilitation: A mindfulness meditation cognitive behavioural therapy approach. //Journal of Laryngology and Otology, 122//(1), 31-37. https://doi.org/10.1017/S0022215107007438
Philippot, P., Nef, F., Clauw, L., de Romree, M., & Segal, Z. (2012). A randomized controlled trial of mindfulness-based cognitive therapy for treating tinnitus. //Clinical Psychology & Psychotherapy, 19//(5), 411-419. https://doi.org/10.1002/cpp.756
Chrisman, J.A., Christopher, J.C., & Lichtenstein, S.J. (2009). Qigong as a mindfulness practice for counseling students: A qualitative study. //Journal of Humanistic Psychology, 49//(2), 236-257. https://doi.org/10.1177/0022167808327750
Arif, M., Sadlier, M., Rajenderkumar, D., James, J., & Tahir, T. (2017). A randomised controlled study of mindfulness meditation versus relaxation therapy in the management of tinnitus. //Journal of Laryngology and Otology, 131//(6), 501-507. https://doi.org/10.1017/S002221511700069X
Jouper, J., & Gustafsson, H. (2013). Mindful recovery: A case study of a burned-out elite shooter. //Sport Psychologist, 27//(1), 92-102. https://doi.org/10.1123/tsp.27.1.92
Leung, Y., & Singhal, A. (2004). An examination of the relationship between qigong meditation and personality. //Social Behavior and Personality, 32//(4), 313-320. https://doi.org/10.2224/sbp.2004.32.4.313
Hesser, H., Molander, P., Jungermann, M., & Andersson, G. (2013). Costs of suppressing emotional sound and countereffects of a mindfulness induction: An experimental analog of tinnitus impact. //PLOS ONE, 8//(5), e64540. https://doi.org/10.1371/journal.pone.0064540
Chen, K.W., Comerford, A., Shinnick, P., & Ziedonis, D.M. (2010).Introducing Qigong meditation into residential addiction treatment: A pilot study where gender makes a difference. //Journal of Alternative and Complementary Medicine, 16//(8), 875-882. https://doi.org/10.1089/acm.2009.0443
Erisman, S.M., & Roemer, L. (2012). A preliminary investigation of the process of mindfulness. //Mindfulness, 3//(1), 30-43. https://doi.org/10.1007/s12671-011-0078-x
[img[tps48.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
van Lutterveld, R., Houlihan, S.D., Pal, P., Sacchet, M.D., McFarlane-Blake, C., Patel, P.R., ... & Brewer, J.A. (2017). Source-space EEG neurofeedback links subjective experience with brain activity during effortless awareness meditation. //Neuroimage, 151//, 117-127. https://doi.org/10.1016/j.neuroimage.2016.02.047
Li, Y., Jakary, A., Gillung, E., Eisendrath, S., Nelson, S.J., Mukherjee, P., ... & Luks, T. (2016). Evaluating metabolites in patients with major depressive disorder who received mindfulness-based cognitive therapy and healthy controls using short echo MRSI at 7 Tesla. //Magnetic Resonance Materials in Physics Biology and Medicine, 29//(3), 523-533. https://doi.org/10.1007/s10334-016-0526-7
Zampi, D.D. (2016). Efficacy of theta binaural beats for the treatment of chronic pain. //Alternative Therapies in Health and Medicine, 22//(1), 32-38.
Petrocchi, N., Piccirillo, G., Fiorucci, C., Moscucci, F., Di Iorio, C., Mastropietri, F., ... & Ottaviani, C. (2017). Transcranial direct current stimulation enhances soothing positive affect and vagal tone. //Neuropsychologia, 96//, 256-261. https://doi.org/10.1016/j.neuropsychologia.2017.01.028
Chen, F.F., Ly, X.Y., Fang, J.L., Yu, S., Sui, J., Fan, L.Z., ... & Jiang, T.Z. (2015). The effect of body–mind relaxation meditation induction on major depressive disorder: A resting-state fMRI study. //Journal of Affective Disorders, 183//, 75-82. https://doi.org/10.1016/j.jad.2015.04.030
Jiang, Y.Q., You, J.N., Ren, Y.X., Sun, R., Liao, S.Y., Zhu, J.J., ... & Ma, N. (2017). Brief report: A preliminary comparison of self-compassion between adolescents with nonsuicidal self-injury thoughts and actions. //Journal of Adolescence, 59//, 124-128. https://doi.org/10.1016/j.adolescence.2017.05.019
Heath, N.L., Joly, M., & Carsley, D. (2016). Coping self-efficacy and mindfulness in non-suicidal self-injury. //Mindfulness, 7//(5), 1132-1141. https://doi.org/10.1007/s12671-016-0555-3
Thurston, M.D., Goldin, P., Heimberg, R., & Gross, J.J. (2017). Self-views in social anxiety disorder: The impact of CBT versus MBSR. //Journal of Anxiety Disorders, 47//, 83-90. https://doi.org/10.1016/j.janxdis.2017.01.001
Creswell, J.D., Taren, A.A., Lindsay, E.K., Greco, C.M., Gianaros, P.J., Fairgrieve, A., ... & Ferris, J.L. (2016). Alterations in resting-state functional connectivity link mindfulness meditation with reduced interleukin-6: A randomized controlled trial. //Biological Psychiatry, 80//(1), 53-61. https://doi.org/10.1016/j.biopsych.2016.01.008
Kocovski, N.L., Fleming, J.E., Hawley, L.L., Ho, M.H.R., & Antony, M.M. (2015). Mindfulness and acceptance-based group therapy and traditional cognitive behavioral group therapy for social anxiety disorder: Mechanisms of change. //Behaviour Research and Therapy, 70//, 11-22. https://doi.org/10.1016/j.brat.2015.04.005
Goldin, P.R., Morrison, A.S., Jazaieri, H., Heimberg, R.G., & Gross, J.J. (2017). Trajectories of social anxiety, cognitive reappraisal, and mindfulness during an RCT of CBGT versus MBSR for social anxiety disorder. //Behaviour Research and Therapy, 97//, 1-13. https://doi.org/10.1016/j.brat.2017.06.001
Garrison, K.A., Santoyo, J.F., Davis, J.H., Thornhill, T.A., Kerr, C.E., & Brewer, J.A. (2013). Effortless awareness: Using real time neurofeedback to investigate correlates of posterior cingulate cortex activity in meditators' self-report. //Frontiers in Human Neuroscience, 7//, 440. https://doi.org/10.3389/fnhum.2013.00440
Peters, A.T., Burkhouse, K., Feldhaus, C.C., Langenecker, S.A., & Jacobs, R.H. (2016). Aberrant resting-state functional connectivity in limbic and cognitive control networks relates to depressive rumination and mindfulness: A pilot study among adolescents with a history of depression. //Journal of Affective Disorders, 200//, 178-181. https://doi.org/10.1016/j.jad.2016.03.059
Heath, N.L., Carsley, D., De Riggi, M.E., Mills, D., & Mettler, J. (2016). The relationship between mindfulness, depressive symptoms, and non-suicidal self-injury amongst adolescents. //Archives of Suicide Research, 20//(4), 635-649. https://doi.org/10.1080/13811118.2016.1162243
Jazaieri, H., Goldin, P.R., Werner, K., Ziv, M., & Gross, J.J. (2012). A randomized trial of MBSR versus aerobic exercise for social anxiety disorder. //Journal of Clinical Psychology, 68//(7), 715-731. https://doi.org/10.1002/jclp.21863
Kocovski, N.L., Fleming, J.E., & Rector, N.A. (2009). Mindfulness and acceptance-based group therapy for social anxiety disorder: An open trial. //Cognitive and Behavioral Practice, 16//(3), 276-289. https://doi.org/10.1016/j.cbpra.2008.12.004
Taren, A.A., Gianaros, P.J., Greco, C.M., Lindsay, E.K., Fairgrieve, A., Brown, K.W., ... & Creswell, J.D. (2017). Mindfulness meditation training and executive control network resting state functional connectivity: A randomized controlled trial. //Psychosomatic Medicine, 79//(6), 674-683. https://doi.org/10.1097/PSY.0000000000000466
Faucher, J., Koszycki, D., Bradwejn, J., Merali, Z., & Bielajew, C. (2016). Effects of CBT versus MBSR treatment on social stress reactions in social anxiety disorder. //Mindfulness, 7//(2), 514-526. https://doi.org/10.1007/s12671-015-0486-4
Kocovski, N.L., Fleming, J.E., Hawley, L.L., Huta, V., & Antony, M.M. (2013). Mindfulness and acceptance-based group therapy versus traditional cognitive behavioral group therapy for social anxiety disorder: A randomized controlled trial. //Behaviour Research and Therapy, 51//(12), 889-898. https://doi.org/10.1016/j.brat.2013.10.007
Goldin, P., Ziv, M., Jazaieri, H., & Gross, H.J. (2012). Randomized controlled trial of mindfulness-based stress reduction versus aerobic exercise: Effects on the self-referential brain network in social anxiety disorder. //Frontiers in Human Neuroscience, 6//, 295. https://doi.org/10.3389/fnhum.2012.00295
Desnoyers, A.J., Kocovski, N.L., Fleming, J.E., & Antony, M.M. (2017). Self-focused attention and safety behaviors across group therapies for social anxiety disorder. //Anxiety Stress and Coping, 30//(4), 441-455. https://doi.org/10.1080/10615806.2016.1239083
King, A.P., Block, S.R., Sripada, R.K., Rauch, S., Giardino, N., Favorite, T., ... & Liberzon, I. (2016). Altered default mode network (DMN) resting state functional connectivity following a mindfulness-based exposure therapy for posttraumatic stress disorder (PTSD) in combat veterans of Afghanistan and Iraq. //Depression and Anxiety, 33//(4), 289-299. https://doi.org/10.1002/da.22481
Koszycki, D., Benger, M., Shlik, J., & Bradwejn, J. (2007). Randomized trial of a meditation-based stress reduction program and cognitive behavior therapy in generalized social anxiety disorder. //Behaviour Research and Therapy, 45//(10), 2518-2526. https://doi.org/10.1016/j.brat.2007.04.011
Fleer, J., Schroevers, M., Panjer, V., Geerts, E., & Meesters, Y. (2014). Mindfulness-based cognitive therapy for seasonal affective disorder: A pilot study. //Journal of Affective Disorders, 168//, 205-209. https://doi.org/10.1016/j.jad.2014.07.003
Werner, K.H., Jazaieri, H., Goldin, P.R., Ziv, M., Heimberg, R.G., & Gross, J.J. (2012). Self-compassion and social anxiety disorder. //Anxiety Stress and Coping, 25//(5), 543-558. https://doi.org/10.1080/10615806.2011.608842
Tolnai, N., Szabo, Z., Koteles, F., & Szabo, A. (2016). Physical and psychological benefits of once-a-week pilates exercises in young sedentary women: A 10-week longitudinal study. //Physiology & Behavior, 163//, 211-218. https://doi.org/10.1016/j.physbeh.2016.05.025
Jimenez-Torres, G.J., Weinstein, B.L., Walker, C.R., Fowler, J.C., Ashford, P., Borckardt, J.J., ... & Madan, A. (2017). A study protocol for a single-blind, randomized controlled trial of adjunctive transcranial direct current stimulation (TDCS) for chronic pain among patients receiving specialized, inpatient multimodal pain management. //Contemporary Clinical Trials, 54//, 36-47. https://doi.org/10.1016/j.cct.2016.12.024
Goldin, P.R., Morrison, A., Jazaieri, H., Brozovich, F., Heimberg, R., & Gross, J.J. (2016). Group CBT versus MBSR for social anxiety disorder: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 84//(5), 427-437. https://doi.org/10.1037/ccp0000092
Hjeltnes, A., Molde, H., Schanche, E., Vollestad, J., Svendsen, J.L., Moltu, C., ... & Binder, P.E. (2017). An open trial of mindfulness-based stress reduction for young adults with social anxiety disorder. //Scandinavian Journal of Psychology, 58//(1), 80-90. https://doi.org/10.1111/sjop.12342
Rees, C.S., Hasking, P., Breen, L.J., Lipp, O.V., & Mamotte, C. (2015). Group mindfulness based cognitive therapy vs group support for self-injury among young people: Study protocol for a randomised controlled trial. //BMC Psychiatry, 15//. 154. https://doi.org/10.1186/s12888-015-0527-5
Zeidan, F., Johnson, S.K., Gordon, N.S., & Goolkasian, P. (2010). Effects of brief and sham mindfulness meditation on mood and cardiovascular variables. //Journal of Alternative and Complementary Medicine, 16//(8), 867-873. https://doi.org/10.1089/acm.2009.0321
Mothes, H., Klaperski, S., Seelig, H., Schmidt, S., & Fuchs, R. (2014). Regular aerobic exercise increases dispositional mindfulness in men: A randomized controlled trial. //Mental Health and Physical Activity, 7//(2), 111-119. https://doi.org/10.1016/j.mhpa.2014.02.003
Kashdan, T.B., & McKnight, P.E. (2013). Commitment to a purpose in life: An antidote to the suffering by individuals with social anxiety disorder. //Emotion, 13//(6), 1150-1159. https://doi.org/10.1037/a0033278
Shallcross, A.J., Gross, J.J., Visvanathan, P.D., Kumar, N., Palfrey, A., Ford, B.Q., ... & Mauss, I.B. (2015). Relapse prevention in major depressive disorder: Mindfulness-based cognitive therapy versus an active control condition. //Journal of Consulting and Clinical Psychology, 83//(5), 964-975. https://doi.org/10.1037/ccp0000050
Keng, S.L., Tan, E.L.Y., Eisenlohr-Moul, T.A., & Smoski, M.J. (2017). Effects of mindfulness, reappraisal, and suppression on sad mood and cognitive resources. //Behaviour Research and Therapy, 91//, 33-42. https://doi.org/10.1016/j.brat.2017.01.006
Garisch, J.A., & Wilson, M.S. (2015). Prevalence, correlates, and prospective predictors of non-suicidal self-injury among New Zealand adolescents: Cross-sectional and longitudinal survey data. //Child and Adolescent Psychiatry and Mental Health, 9//. https://doi.org/10.1186/s13034-015-0055-6
Chow, T., Javan, T., Ros, T., & Frewen, P. (2017). EEG dynamics of mindfulness meditation versus alpha neurofeedback: A sham-controlled study. //Mindfulness, 8//(3), 572-584. https://doi.org/10.1007/s12671-016-0631-8
Farb, N.A.S., Anderson, A.K., Mayberg, H., Bean, J., McKeon, D., & Segal, Z.V. (2010). Minding one's emotions: Mindfulness training alters the neural expression of sadness. //Emotion, 10//(1), 25-33. https://doi.org/10.1037/a0017151
Goldin, P., Ziv, M., Jazaieri, H., Hahn, K., & Gross, J.J. (2013). MBSR vs aerobic exercise in social anxiety: fMRI of emotion regulation of negative self-beliefs. //Social Cognitive and Affective Neuroscience, 8//(1), 65-72. https://doi.org/10.1093/scan/nss054
Gershkovich, M., Herbert, J.D., Forman, E.M., Schumacher, L.M., & Fischer, L.E. (2017). Internet-delivered acceptance-based cognitive-behavioral intervention for social anxiety disorder with and without therapist support: A randomized trial. //Behavior Modification, 41//(5), 583-608. https://doi.org/10.1177/0145445517694457
Cramer, H., Lauche, R., Moebus, S., Michalsen, A., Langhorst, J., Dobos, G., ... & Paul, A. (2014). Predictors of health behavior change after an integrative medicine inpatient program. //International Journal of Behavioral Medicine, 21//(5), 775-783. https://doi.org/10.1007/s12529-013-9354-6
Norton, A.R., Abbott, M.J., Norberg, M.M., & Hunt, C. (2015). A systematic review of mindfulness and acceptance-based treatments for social anxiety disorder. //Journal of Clinical Psychology, 71//(4), 283-301. https://doi.org/10.1002/jclp.22144
Keng, S.L., Robins, C.J., Smoski, M.J., Dagenbach, J., & Leary, M.R. (2013). Reappraisal and mindfulness: A comparison of subjective effects and cognitive costs. //Behaviour Research and Therapy, 51//(12), 899-904. https://doi.org/10.1016/j.brat.2013.10.006
Johnson, S., Gur, R.M., David, Z., & Currier, E. (2015). One-session mindfulness meditation: A randomized controlled study of effects on cognition and mood. //Mindfulness, 6//(1), 88-98. https://doi.org/10.1007/s12671-013-0234-6
Bastian, B., Kuppens, P., Hornsey, M.J., Park, J., Koval, P., & Uchida, Y. (2012). Feeling bad about being sad: The role of social expectancies in amplifying negative mood. //Emotion, 12//(1), 69-80. https://doi.org/10.1037/a0024755
Jazaieri, H., Morrison, A.S., Goldin, P.R., & Gross, J.J. (2015). The role of emotion and emotion regulation in social anxiety disorder. //Current Psychiatry Reports, 17//(1), 531. https://doi.org/10.1007/s11920-014-0531-3
Zangi, H.A., Hauge, M.I., Steen, E., Finset, A., & Hagen, K.B. (2011). I am not only a disease, I am so much more. patients with rheumatic diseases' experiences of an emotion-focused group intervention. //Patient Education and Counseling, 85//(3), 419-424. https://doi.org/10.1016/j.pec.2010.12.032
Zeidan, F., Emerson, N.M., Farris, S.R., Ray, J.N., Jung, Y., McHaffie, J.G., ... & Coghill, R.C. (2015). Mindfulness meditation-based pain relief employs different neural mechanisms than placebo and sham mindfulness meditation-induced analgesia. //Journal of Neuroscience, 35//(46), 15307-15325. https://doi.org/10.1523/JNEUROSCI.2542-15.2015
Peled, M., & Moretti, M.M. (2010). Ruminating on rumination: Are rumination on anger and sadness differentially related to aggression and depressed mood?. //Journal of Psychopathology and Behavioral Assessment, 32//(1), 108-117. https://doi.org/10.1007/s10862-009-9136-2
[img[tps49.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kumar, A., Sharma, M.P., Narayanaswamy, J.C., Kandavel, T., & Reddy, Y.C.J. (2016). Efficacy of mindfulness-integrated cognitive behavior therapy in patients with predominant obsessions. //Indian Journal of Psychiatry, 58//(4), 366-371. https://doi.org/10.4103/0019-5545.196723
Hedman, E., Hesser, H., Andersson, E., Axelsson, E., & Ljotsson, B. (2017). The mediating effect of mindful non-reactivity in exposure-based cognitive behavior therapy for severe health anxiety. //Journal of Anxiety Disorders, 50//, 15-22. https://doi.org/10.1016/j.janxdis.2017.04.007
Tellez, M., Kinner, D.G., Heimberg, R.G., Lim, S., & Ismail, A.I. (2015). Prevalence and correlates of dental anxiety in patients seeking dental care. //Community Dentistry and Oral Epidemiology, 43//(2), 135-142. https://doi.org/10.1111/cdoe.12132
Key, B.L., Rowa, K., Bieling, P., McCabe, R., & Pawluk, E.J. (2017). Mindfulness-based cognitive therapy as an augmentation treatment for obsessive-compulsive disorder. //Clinical Psychology & Psychotherapy, 24//(5), 1109-1120. https://doi.org/10.1002/cpp.2076
Lee, K.H., Lin, H.C., Wang, P.W., & Yen, C.F. (2016). An integrated model of depression, compulsion, and mindfulness among heroin abusers in Taiwan. //American Journal on Addictions, 25//(3), 227-232. https://doi.org/10.1111/ajad.12365
Mayo-Wilson, E., Dias, S., Mavranezouli, I., Kew, K., Clark, D.M., Ades, A.E., ... & Pilling, S. (2014). Psychological and pharmacological interventions for social anxiety disorder in adults: A systematic review and network meta-analysis. //Lancet Psychiatry, 1//(5), 368-376. https://doi.org/10.1016/S2215-0366(14)70329-3
Sorensen, P., Birket-Smith, M., Wattar, U., Buemann, I., & Salkovskis, P. (2011). A randomized clinical trial of cognitive behavioural therapy versus short-term psychodynamic psychotherapy versus no intervention for patients with hypochondriasis. //Psychological Medicine, 41//(2), 431-441. https://doi.org/10.1017/S0033291710000292
Potter, K., & Coyle, A. (2017). Psychotherapeutic practitioners' views of the efficacy of mindfulness for the treatment of obsessive compulsive disorder: A qualitative key informant analysis. //European Journal of Psychotherapy & Counselling, 19//(2), 124-140. https://doi.org/10.1080/13642537.2017.1313879
Kulz, A.K., Landmann, S., Cludius, B., Hottenrott, B., Rose, N., Heidenreich, T., ... & Moritz, S. (2014). Mindfulness-based cognitive therapy in obsessive-compulsive disorder: Protocol of a randomized controlled trial. //BMC Psychiatry, 14//, 314. https://doi.org/10.1186/s12888-014-0314-8
Cowdrey, F.A., & Walz, L. (2015). Exposure therapy for fear of spiders in an adult with learning disabilities: A case report. //British Journal of Learning Disabilities, 43//(1), 75-82. https://doi.org/10.1111/bld.12106
Lustyk, M.K.B., Gerrish, W.G., Shaver, S., & Keys, S.L. (2009). Cognitive-behavioral therapy for premenstrual syndrome and premenstrual dysphoric disorder: A systematic review. //Archives of Women’s Mental Health, 12//(2), 85-96. https://doi.org/10.1007/s00737-009-0052-y
Totterdell, P., Kellett, S., & Mansell, W. (2012). Cognitive behavioural therapy for cyclothymia: Cognitive regulatory control as a mediator of mood change. //Behavioural and Cognitive Psychotherapy, 40//(4), 412-424. https://doi.org/10.1017/S1352465812000070
Sguazzin, C.M.G., Key, B.L., Rowa, K., Bieling, P.J., & McCabe, R.E. (2017). Mindfulness-based cognitive therapy for residual symptoms in obsessive-compulsive disorder: A qualitative analysis. //Mindfulness, 8//(1), 190-203. https://doi.org/10.1007/s12671-016-0592-y
Jacobson, N.C., Newman, M.G., & Goldfried, M.R. (2016). Clinical feedback about empirically supported treatments for obsessive-compulsive disorder. //Behavior Therapy, 47//(1), 75-90. https://doi.org/10.1016/j.beth.2015.09.003
Crowe, K., & McKay, D. (2016). Mindfulness, obsessive-compulsive symptoms, and executive dysfunction. //Cognitive Therapy and Research, 40//(5), 627-644. https://doi.org/10.1007/s10608-016-9777-x
Igna, R., Stefan, S., Onac, I., Onac, I., Ungur, R.A., & Szentagotai Tatar, A. (2014). Mindfulness-based cognitive-behavior therapy (MCBT) versus virtual reality (VR) enhanced CBT, versus treatment as usual for chronic back pain. A clinical trial. //Journal of Evidence-based Psychotherapies, 14//(2), 229-247.
Rimes, K.A., & Wingrove, J. (2013). Mindfulness-based cognitive therapy for people with chronic fatigue syndrome still experiencing excessive fatigue after cognitive behaviour therapy: A pilot randomized study. //Clinical Psychology & Psychotherapy, 20//(2), 107-117. https://doi.org/10.1002/cpp.793
Hertenstein, E., Rose, N., Voderholzer, U., Heidenreich, T., Nissen, C., Thiel, N., ... & Kulz, A.K. (2012). Mindfulness-based cognitive therapy in obsessive-compulsive disorder - a qualitative study on patients' experiences. //BMC Psychiatry, 12//, 185. https://doi.org/10.1186/1471-244X-12-185
Hanstede, M., Gidron, Y., & Nyklicek, I. (2008). The effects of a mindfulness intervention on obsessive-compulsive symptoms in a non-clinical student population. //Journal of Nervous and Mental Disease, 196//(10), 776-779. https://doi.org/10.1097/NMD.0b013e31818786b8
Khalsa, M.K., Greiner-Ferris, J.M., Hofmann, S.G., & Khalsa, S.B.S. (2015). Yoga‐enhanced cognitive behavioural therapy (Y‐CBT) for anxiety management: A pilot study. //Clinical Psychology & Psychotherapy, 22//(4), 364-371. https://doi.org/10.1002/cpp.1902
Cludius, B., Hottenrott, B., Alsleben, H., Peter, U., Schroder, J., & Moritz, S. (2015). Mindfulness for OCD? No evidence for a direct effect of a self-help treatment approach. //Journal of Obsessive-compulsive and Related Disorders, 6//, 59-65. https://doi.org/10.1016/j.jocrd.2015.05.003
Fairfax, H. (2008). The use of mindfulness in obsessive compulsive disorder: Suggestions for its application and integration in existing treatment. //Clinical Psychology & Psychotherapy, 15//(1), 53-59. https://doi.org/10.1002/cpp.557
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Cook, A.J., Anderson, M.L., Hawkes, R.J., ... & Turner, J.A. (2016). Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain a randomized clinical trial. //JAMA: Journal of the American Medical Association, 315//(12), 1240-1249. https://doi.org/10.1001/jama.2016.2323
Jalal, B., Samir, S.W., & Hinton, D.E. (2017). Adaptation of CBT for traumatized Egyptians: Examples from culturally adapted CBT (CA-CBT). //Cognitive and Behavioral Practice, 24//(1), 58-71. https://doi.org/10.1016/j.cbpra.2016.03.001
Hipol, L.J., & Deacon, B.J. (2013). Dissemination of evidence-based practices for anxiety disorders in Wyoming: A survey of practicing psychotherapists. //Behavior Modification, 37//(2), 170-188. https://doi.org/10.1177/0145445512458794
Shorey, R.C., Elmquist, J., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between mindfulness and compulsive sexual behavior in a sample of men in treatment for substance use disorders. //Mindfulness, 7//(4), 866-873. https://doi.org/10.1007/s12671-016-0525-9
Rimes, K.A., & Chalder, T. (2010). The beliefs about emotions scale: Validity, reliability and sensitivity to change. //Journal of Psychosomatic Research, 68//(3), 285-292. https://doi.org/10.1016/j.jpsychores.2009.09.014
Twohig, M.P., & Smith, B.M. (2015). Targeting the function of inner experiences in obsessive compulsive and related disorders. //Current Opinion in Psychology, 2//, 32-37. https://doi.org/10.1016/j.copsyc.2014.12.033
Arch, J.J., & Ayers, C.R. (2013). Which treatment worked better for whom? Moderators of group cognitive behavioral therapy versus adapted mindfulness based stress reduction for anxiety disorders. //Behaviour Research and Therapy, 51//(8), 434-442. https://doi.org/10.1016/j.brat.2013.04.004
Bahrani, S., Zargar, F., Yousefipour, G., & Akbari, H. (2017). The effectiveness of mindfulness-integrated cognitive behavior therapy on depression, anxiety, and stress in females with multiple sclerosis: A single blind randomized controlled trial. //Iranian Red Crescent Medical Journal, 19//(4). https://doi.org/10.5812/ircmj.44566
Barney, J.Y., Field, C.E., Morrison, K.L., & Twohig, M.P. (2017). Treatment of pediatric obsessive compulsive disorder utilizing parent-facilitated acceptance and commitment therapy. //Psychology in the Schools, 54//(1), 88-100. https://doi.org/10.1002/pits.21984
Morgan, J.R., Price, M., Schmertz, S.K., Johnson, S.B., Masuda, A., Calamaras, M., ... & Anderson, P.L. (2014). Cognitive processes as mediators of the relation between mindfulness and change in social anxiety symptoms following cognitive behavioral treatment. //Anxiety Stress and Coping, 27//(3), 288-302. https://doi.org/10.1080/10615806.2013.839988
Patel, S.R., Carmody, J., & Simpson, H.B. (2007). Adapting mindfulness-based stress reduction for the treatment of obsessive-compulsive disorder: A case report. //Cognitive and Behavioral Practice, 14//(4), 375-380. https://doi.org/10.1016/j.cbpra.2006.08.006
Spain, D., Sin, J., Chalder, T., Murphy, D., & Happe, F. (2015). Cognitive behaviour therapy for adults with autism spectrum disorders and psychiatric co-morbidity: A review. //Research in Autism Spectrum Disorders, 9//, 151-162. https://doi.org/10.1016/j.rasd.2014.10.019
Hawley, L.L., Rogojanski, J., Vorstenbosch, V., Quilty, L.C., Laposa, J.M., & Rector, N.A. (2017). The structure, correlates, and treatment related changes of mindfulness facets across the anxiety disorders and obsessive compulsive disorder. //Journal of Anxiety Disorders, 49//, 65-75. https://doi.org/10.1016/j.janxdis.2017.03.003
Longmore, R.J., & Worrell, M. (2007). Do we need to challenge thoughts in cognitive behavior therapy?. //Clinical Psychology Review, 27//(2), 173-187. https://doi.org/10.1016/j.cpr.2006.08.001
Hamilton, K.E., Wershler, J.L., Macrodimitris, S.D., Backs-Dermott, B.J., Ching, L.E., & Mothersill, K.J. (2012). Exploring the effectiveness of a mixed-diagnosis group cognitive behavioral therapy intervention across diverse populations. //Cognitive and Behavioral Practice, 19//(3), 472-482. https://doi.org/10.1016/j.cbpra.2011.12.002
Arch, J.J., Ayers, C.R., Baker, A., Almklov, E., Dean, D.J., & Craske, M.G. (2013). Randomized clinical trial of adapted mindfulness-based stress reduction versus group cognitive behavioral therapy for heterogeneous anxiety disorders. //Behaviour Research and Therapy, 51//(42830), 185-196. https://doi.org/10.1016/j.brat.2013.01.003
Strauss, C., Rosten, C., Hayward, M., Lea, L., Forrester, E., & Jones, A.M. (2015). Mindfulness-based exposure and response prevention for obsessive compulsive disorder: Study protocol for a pilot randomised controlled trial. //Trials, 16//, 167. https://doi.org/10.1186/s13063-015-0664-7
Hutton, P., Morrison, A.P., & Taylor, H. (2012). Brief cognitive behavioural therapy for hallucinations: Can it help people who decide not to take antipsychotic medication? A case report. //Behavioural and Cognitive Psychotherapy, 40//(1), 111-116. https://doi.org/10.1017/S135246581100035X
Waller, G., Stringer, H., & Meyer, C. (2012). What cognitive behavioral techniques do therapists report using when delivering cognitive behavioral therapy for the eating disorders?. //Journal of Consulting and Clinical Psychology, 80//(1), 171-175. https://doi.org/10.1037/a0026559
Tovote, K.A., Schroevers, M.J., Snippe, E., Emmelkamp, P.M.G., Links, T.P., Sanderman, R., ... & Fleer, J. (2017). What works best for whom? Cognitive behavior therapy and mindfulness-based cognitive therapy for depressive symptoms in patients with diabetes. //PLOS ONE, 12//(6), e0179941. https://doi.org/10.1371/journal.pone.0179941
Hofmann, S.G., Sawyer, A.T., & Fang, A. (2010). The empirical status of the "new wave" of cognitive behavioral therapy. //Psychiatric Clinics of North America, 33//(3), 701-710. https://doi.org/10.1016/j.psc.2010.04.006
McIntosh, C.C., Crino, R.D., & O'Neill, K. (2016). Treating problem gambling samples with cognitive behavioural therapy and mindfulness-based interventions: A clinical trial. //Journal of Gambling Studies, 32//(4), 1305-1325. https://doi.org/10.1007/s10899-016-9602-1
Shirk, S.R., DePrince, A.P., Crisostomo, P.S., & Labus, J. (2014). Cognitive behavioral therapy for depressed adolescents exposed to interpersonal trauma: An initial effectiveness trial. //Psychotherapy, 51//(1), 167-179. https://doi.org/10.1037/a0034845
Boersma, K., Ljotsson, B., Edebol-Carlman, H., Schrooten, M., Linton, S.J., & Brummer, R.J. (2016). Exposure-based cognitive behavioral therapy for irritable bowel syndrome. A single-case experimental design across 13 subjects. //Cognitive Behaviour Therapy, 45//(6), 415-430. https://doi.org/10.1080/16506073.2016.1194455
Turner, J.A., Anderson, M.L., Balderson, B.H., Cook, A.J., Sherman, K.J., & Cherkin, D.C. (2016). Mindfulness-based stress reduction and cognitive behavioral therapy for chronic low back pain: Similar effects on mindfulness, catastrophizing, self-efficacy, and acceptance in a randomized controlled trial. //Pain, 157//(11), 2434-2444. https://doi.org/10.1097/j.pain.0000000000000635
Stasiewicz, P.R., Bradizza, C.M., Schlauch, R.C., Coffey, S.F., Gulliver, S.B., Gudleski, G.D., ... & Bole, C.W. (2013). Affect regulation training (ART) for alcohol use disorders: Development of a novel intervention for negative affect drinkers. //Journal of Substance Abuse Treatment, 45//(5), 433-443. https://doi.org/10.1016/j.jsat.2013.05.012
Wong, M.Y., Ree, M.J., & Lee, C.W. (2016). Enhancing CBT for chronic insomnia: A randomised clinical trial of additive components of mindfulness or cognitive therapy. //Clinical Psychology & Psychotherapy, 23//(5), 377-385. https://doi.org/10.1002/cpp.1980
Hansen, A.L., Kvale, G., Stubhaug, B., & Thayer, J.F. (2013). Heart rate variability and fatigue in patients with chronic fatigue syndrome after a comprehensive cognitive behavior group therapy program. //Journal of Psychophysiology, 27//(2), 67-75. https://doi.org/10.1027/0269-8803/a000088
Mohamadpour, S., Tajikzadeh, F., & Aflakseir, A. (2017). The efficacy of mindfulness-based cognitive therapy on self-efficacy and anxiety among epileptic patients. //Archives of Neuroscience, 4//(2), e39060. https://doi.org/10.5812/archneurosci.39060
Manicavasgar, V., Parker, G., & Perich, T. (2011). Mindfulness-based cognitive therapy vs cognitive behaviour therapy as a treatment for non-melancholic depression. //Journal of Affective Disorders, 130//(1-2), 138-144. https://doi.org/10.1016/j.jad.2010.09.027
Omidi, A., Mohammadkhani, P., Mohammadi, A., & Zargar, F. (2013). Comparing mindfulness based cognitive therapy and traditional cognitive behavior therapy with treatments as usual on reduction of major depressive disorder symptoms. //Iranian Red Crescent Medical Journal, 15//(2), 142-146. https://doi.org/10.5812/ircmj.8018
Wahl, K., Huelle, J.O., Zurowski, B., & Kordon, A. (2013). Managing obsessive thoughts during brief exposure: An experimental study comparing mindfulness-based strategies and distraction in obsessive-compulsive disorder. //Cognitive Therapy and Research, 37//(4), 752-761. https://doi.org/10.1007/s10608-012-9503-2
Parikh, S.V., Segal, Z.V., Grigoriadis, S., Ravindran, A.V., Kennedy, S.H., Lam, R.W., ... & Patten, S.B. (2009). Canadian network for mood and anxiety treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. II. Psychotherapy alone or in combination with antidepressant medication. //Journal of Affective Disorders, 117//, S15-S25. https://doi.org/10.1016/j.jad.2009.06.042
Ludvik, D., & Boschen, M.J. (2015). Cognitive restructuring and detached mindfulness: Comparative impact on a compulsive checking task. //Journal of Obsessive-compulsive and Related Disorders, 5//, 8-15. https://doi.org/10.1016/j.jocrd.2015.01.004
Lanza, P.V., Garcia, P.F., Lamelas, F.R., & Gonzalez-Menendez, A. (2014). Acceptance and commitment therapy versus cognitive behavioral therapy in the treatment of substance use disorder with incarcerated women. //Journal of Clinical Psychology, 70//(7), 644-657. https://doi.org/10.1002/jclp.22060
Gaudiano, B.A., & Herbert, J.D. (2006). Acute treatment of inpatients with psychotic symptoms using acceptance and commitment therapy: Pilot results. //Behaviour Research and Therapy, 44//(3), 415-437. https://doi.org/10.1016/j.brat.2005.02.007
Elmquist, J., Shorey, R.C., Anderson, S., & Stuart, G.L. (2016). Are borderline personality symptoms associated with compulsive sexual behaviors among women in treatment for substance use disorders? An exploratory study. //Journal of Clinical Psychology, 72//(10), 1077-1087. https://doi.org/10.1002/jclp.22310
Garland, E.L., Roberts-Lewis, A., Tronnier, C.D., Graves, R., & Kelley, K. (2016). Mindfulness-oriented recovery enhancement versus CBT for co-occurring substance dependence, traumatic stress, and psychiatric disorders: Proximal outcomes from a pragmatic randomized trial. //Behaviour Research and Therapy, 77//, 7-16. https://doi.org/10.1016/j.brat.2015.11.012
Heeren, A., Maurage, P., & Philippot, P. (2013). A Bayesian case-controls exploration of the malleability of attentional bias for threat in social phobia. //International Journal of Cognitive Therapy, 6//(1), 24-39. https://doi.org/10.1521/ijct.2013.6.1.24
Hooper, N., Davies, N., Davies, L., & McHugh, L. (2011). Comparing thought suppression and mindfulness as coping techniques for spider fear. //Consciousness and Cognition, 20//(4), 1824-1830. https://doi.org/10.1016/j.concog.2011.05.013
McCracken, L.M., & Vowles, K.E. (2014). Acceptance and commitment therapy and mindfulness for chronic pain model, process, and progress. //American Psychologist, 69//(2), 178-187. https://doi.org/10.1037/a0035623
Sugiura, T., & Sugiura, Y. (2016). Relationships between refraining from catastrophic thinking, repetitive negative thinking, and psychological distress. //Psychological Reports, 119//(2), 374-394. https://doi.org/10.1177/0033294116663511
Kuhlmann, S.M., Huss, M., Burger, A., & Hammerle, F. (2016). Coping with stress in medical students: results of a randomized controlled trial using a mindfulness-based stress prevention training (MediMind) in Germany. //BMC Medical Education, 16//, 316. https://doi.org/10.1186/s12909-016-0833-8
Bandelow, B., Reitt, M., Rover, C., Michaelis, S., Gorlich, Y., & Wedekind, D. (2015). Efficacy of treatments for anxiety disorders: A meta-analysis. //International Clinical Psychopharmacology, 30//(4), 183-192. https://doi.org/10.1097/YIC.0000000000000078
Piet, J., Hougaard, E., Hecksher, M.S., & Rosenberg, N.K. (2010). A randomized pilot study of mindfulness-based cognitive therapy and group cognitive-behavioral therapy for young adults with social phobia. //Scandinavian Journal of Psychology, 51//(5), 403-410. https://doi.org/10.1111/j.1467-9450.2009.00801.x
Durrant, C., Clarke, I., Tolland, A., & Wilson, H. (2007). Designing a CBT service for an acute inpatient setting: A pilot evaluation study. //Clinical Psychology & Psychotherapy, 14//(2), 117-125. https://doi.org/10.1002/cpp.516
Nelson, B., Sass, L.A., & Skodlar, B. (2009). The phenomenological model of psychotic vulnerability and its possible implications for psychological interventions in the ultra-high risk (‘prodromal’) population. //Psychopathology, 42//(5), 283-292. https://doi.org/10.1159/000228837
Hodge, D.R., & Lietz, C.A. (2014). Using spiritually modified cognitive-behavioral therapy in substance dependence treatment: Therapists' and clients' perceptions of the presumed benefits and limitations. //Health & Social Work, 39//(4), 200-210. https://doi.org/10.1093/hsw/hlu022
Wilkinson-Tough, M., Bocci, L., Thorne, K., & Herlihy, J. (2010). Is mindfulness-based therapy an effective intervention for obsessive-intrusive thoughts: A case series. //Clinical Psychology & Psychotherapy, 17//(3), 250-268. https://doi.org/10.1002/cpp.665
Snippe, E., Schroevers, M.J., Tovote, K., Sanderman, R., Emmelkamp, P.M.G., & Fleer, J. (2015). Patients' outcome expectations matter in psychological interventions for patients with diabetes and comorbid depressive symptoms. //Cognitive Therapy and Research, 39//(3), 307-317. https://doi.org/10.1007/s10608-014-9667-z
Andersson, E., Ljotsson, B., Smit, F., Paxling, B., Hedman, E., Lindefors, N., ... & Ruck, C. (2011). Cost-effectiveness of internet-based cognitive behavior therapy for irritable bowel syndrome: Results from a randomized controlled trial. //BMC Public Health, 11//, 215. https://doi.org/10.1186/1471-2458-11-215
Tai, S., & Turkington, D. (2009). The evolution of cognitive behavior therapy for schizophrenia: Current practice and recent developments. //Schizophrenia Bulletin, 35//(5), 865-873. https://doi.org/10.1093/schbul/sbp080
Brewer, J.A., Sinha, R., Chen, J.A., Michalsen, R.N., Babuscio, T.A., Nich, C., ... & Rounsaville, B.J. (2009). Mindfulness training and stress reactivity in substance abuse: Results from a randomized, controlled stage I pilot study. //Substance Abuse, 30//(4), 306-317. https://doi.org/10.1080/08897070903250241
Segal, Z.V., Teasdale, J.D., Williams, J.M., & Gemar, M.C. (2002). The mindfulness-based cognitive therapy adherence scale: Inter-rater reliability, adherence to protocol and treatment distinctiveness. //Clinical Psychology & Psychotherapy, 9//(2), 131-138. https://doi.org/10.1002/cpp.320
Vidrine, J.I., Spears, C.A., Heppner, W.L., Reitzel, L.R., Marcus, M.T., Cinciripini, P.M., ... & Wetter, D.W. (2016). Efficacy of mindfulness-based addiction treatment (MBAT) for smoking cessation and lapse recovery: A randomized clinical trial. //Journal of Consulting and Clinical Psychology, 84//(9), 824-838. https://doi.org/10.1037/ccp0000117
Jazaieri, H., Goldin, P.R., & Gross, J.J. (2017). Treating social anxiety disorder with CBT: Impact on emotion regulation and satisfaction with life. //Cognitive Therapy and Research, 41//(3), 406-416. https://doi.org/10.1007/s10608-016-9762-4
Wheelis, J. (2010). Mending the mind. //Psychoanalytic Dialogues, 20//(3), 325-336. https://doi.org/10.1080/10481885.2010.483958
Neikrug, A.B., Crawford, M.R., & Ong, J.C. (2017). Behavioral sleep medicine services for hypersomnia disorders: A survey study. //Behavioral Sleep Medicine, 15//(2), 158-171. https://doi.org/10.1080/15402002.2015.1120201
Hofmann, S.G., Curtiss, J., Khalsa, S.B.S., Hoge, E., Rosenfield, D., Bui, E., ... & Simon, N. (2015). Yoga for generalized anxiety disorder: Design of a randomized controlled clinical trial. //Contemporary Clinical Trials, 44//, 70-76. https://doi.org/10.1016/j.cct.2015.08.003
Tovote, K.A., Fleer, J., Snippe, E., Peeters, A.C.T.M., Emmelkamp, P.M.G., Sanderman, R., ... & Schroevers, M.J. (2014). Individual mindfulness-based cognitive therapy and cognitive behavior therapy for treating depressive symptoms in patients with diabetes: Results of a randomized controlled trial. //Diabetes Care, 37//(9), 2427-2434. https://doi.org/10.2337/dc13-2918
Hesser, H., Gustafsson, T., Lunden, C., Henrikson, O., Fattahi, K., Johnsson, E., ... & Andersson, G. (2012). A randomized controlled trial of internet-delivered cognitive behavior therapy and acceptance and commitment therapy in the treatment of tinnitus. //Journal of Consulting and Clinical Psychology, 80//(4), 649-661. https://doi.org/10.1037/a0027021
Manicavasagar, V., Perich, T., & Parker, G. (2012). Cognitive predictors of change in cognitive behaviour therapy and mindfulness-based cognitive therapy for depression. //Behavioural and Cognitive Psychotherapy, 40//(2), 227-232. https://doi.org/10.1017/S1352465811000634
Sizoo, B.B., & Kuiper, E. (2017). Cognitive behavioural therapy and mindfulness based stress reduction may be equally effective in reducing anxiety and depression in adults with autism spectrum disorders. //Research in Developmental Disabilities, 64//, 47-55. https://doi.org/10.1016/j.ridd.2017.03.004
Stratford, H.J., Cooper, M.J., Di Simplicio, M., Blackwell, S.E., & Holmes, E.A. (2015). Psychological therapy for anxiety in bipolar spectrum disorders: A systematic review. //Clinical Psychology Review, 35//, 19-34. https://doi.org/10.1016/j.cpr.2014.11.002
Roche, L., Dawson, D.L., Moghaddam, N.G., Abey, A., & Gresswell, D.M. (2017). An acceptance and commitment therapy (ACT) intervention for chronic fatigue syndrome (CFS): A case series approach. //Journal of Contextual Behavioral Science, 6//(2), 178-186. https://doi.org/10.1016/j.jcbs.2017.04.007
Kuhlmann, S.M., Burger, A., Esser, G., & Hammerle, F. (2015). A mindfulness-based stress prevention training for medical students (MediMind): Study protocol for a randomized controlled trial. //Trials, 16//, 40. https://doi.org/10.1186/s13063-014-0533-9
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Turner, J.A., Cook, A.J., Stoelb, B., ... & Hawkes, R.J. (2014). Comparison of complementary and alternative medicine with conventional mind-body therapies for chronic back pain: Protocol for the mind-body approaches to pain (MAP) randomized controlled trial. //Trials, 15//, 211. https://doi.org/10.1186/1745-6215-15-211
Marino, P., DePasquale, A., & Sirey, J.A. (2015). Cognitive behavior therapy with mindfulness and acceptance skills for the treatment of older adults. //Clinical Case Studies, 14//(4), 262-273. https://doi.org/10.1177/1534650114556147
[img[tps5.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Scott-Hamilton, J., Schutte, N.S., Moyle, G.M., & Brown, R.E. (2016). The relationships between mindfulness, sport anxiety, pessimistic attributions and flow in competitive cyclists. //International Journal of Sport Psychology, 47//(2), 103-121. https://doi.org/10.7352/IJSP.2016.47.103
Scott-Hamilton, J., & Schutte, N.S. (2016). The role of adherence in the effects of a mindfulness intervention for competitive athletes: Changes in mindfulness, flow, pessimism, and anxiety. //Journal of Clinical Sport Psychology, 10//(2), 99-117. https://doi.org/10.1123/jcsp.2015-0020
Zhang, C.Q., Chung, P.K., & Si, G.Y. (2017). Assessing acceptance in mindfulness with direct-worded items: The development and initial validation of the Athlete Mindfulness Questionnaire. //Journal of Sport and Health Science, 6//(3), 311-320. https://doi.org/10.1016/j.jshs.2015.09.010
Scott-Hamilton, J., Schutte, N.S., & Brown, R.F. (2016). Effects of a mindfulness intervention on sports-anxiety, pessimism, and flow in competitive cyclists. //Applied Psychology: Health and Well-Being, 8//(1), 85-103. https://doi.org/10.1111/aphw.12063
Theeboom, T., Van Vianen, A.E.M., & Beersma, B. (2017). A temporal map of coaching. //Frontiers in Psychology, 8//,1352. https://doi.org/10.3389/fpsyg.2017.01352
Kee, Y.H., & Wang, C.K.J. (2008). Relationships between mindfulness, flow dispositions and mental skills adoption: A cluster analytic approach. //Psychology of Sport and Exercise, 9//(4), 393-411. https://doi.org/10.1016/j.psychsport.2007.07.001
Aherne, C., Moran, A.P., & Lonsdale, C. (2011). The effect of mindfulness training on athletes' flow: An initial investigation. //Sport Psychologist, 25//(2), 177-189. https://doi.org/10.1123/tsp.25.2.177
Longshore, K., & Sachs, M. (2015). Mindfulness training for coaches: A mixed-method exploratory study. //Journal of Clinical Sport Psychology, 9//(2), 116-137. https://doi.org/10.1123/jcsp.2014-0038
Kaida, N., & Kaida, K. (2016). Facilitating pro-environmental behavior: The role of pessimism and anthropocentric environmental values. //Social Indicators Research, 126//(3), 1243-1260. https://doi.org/10.1007/s11205-015-0943-4
Ivarsson, A., Johnson, U., Andersen, M.B., Fallby, J., & Altemyr, M. (2015). It pays to pay attention: A mindfulness-based program for injury prevention with soccer players. //Journal of Applied Sport Psychology, 27//(3), 319-334. https://doi.org/10.1080/10413200.2015.1008072
Moran, A. (2012). Thinking in action: Some insights from cognitive sport psychology. //Thinking Skills and Creativity, 7//(2), 85-92. https://doi.org/10.1016/j.tsc.2012.03.005
Josefsson, T., Ivarsson, A., Lindwall, M., Gustafsson, H., Stenling, A., Boroy, J., ... & Falkevik, E. (2017). Mindfulness mechanisms in sports: Mediating effects of rumination and emotion regulation on sport-specific coping. //Mindfulness, 8//(5), 1354-1363. https://doi.org/10.1007/s12671-017-0711-4
Bortoli, L., Bertollo, M., Hanin, Y., & Robazza, C. (2012). Striving for excellence: A multi-action plan intervention model for shooters. //Psychology of Sport and Exercise, 13//(5), 693-701. https://doi.org/10.1016/j.psychsport.2012.04.006
Hudlicka, E. (2013). Virtual training and coaching of health behavior: Example from mindfulness meditation training. //Patient Education and Counseling, 92//(2), 160-166. https://doi.org/10.1016/j.pec.2013.05.007
Bernier, M., Thienot, E., Pelosse, E., & Fournier, J.F. (2014). Effects and underlying processes of a mindfulness-based intervention with young elite figure skaters: Two case studies. //Sport Psychologist, 28//(3), 302-315. https://doi.org/10.1123/tsp.2013-0006
Wright, J.J., Sadlo, G., & Stew, G. (2006). Challenge-skills and mindfulness: An exploration of the conundrum of flow. //OTJR: Occupation, Participation and Health, 26//(1), 25-32. https://doi.org/10.1177/153944920602600104
Asztalos, M., Wijndaele, K., De Bourdeaudhuij, I., Philippaerts, R., Matton, L., Duvigneaud, N., ... & Cardon, G. (2012). Sport participation and stress among women and men. //Psychology of Sport and Exercise, 13//(4), 466-483. https://doi.org/10.1016/j.psychsport.2012.01.003
Schneider, S., Kingsolver, K., & Rosdahl, J. (2014). Physician coaching to enhance well-being: A qualitative analysis of a pilot intervention. //Explore: The Journal of Science and Healing, 10//(6), 372-379. https://doi.org/10.1016/j.explore.2014.08.007
Bernier, M., Trottier, C., Thienot, E., & Fournier, J. (2016). An investigation of attentional foci and their temporal patterns: A naturalistic study in expert figure skaters. //Sport Psychologist, 30//(3), 256-266. https://doi.org/10.1123/tsp.2013-0076
Rothlin, P., Horvath, S., Birrer, D., & Holtforth, M.G. (2016). Mindfulness promotes the ability to deliver performance in highly demanding situations. //Mindfulness, 7//(3), 727-733. https://doi.org/10.1007/s12671-016-0512-1
Andersen, S.S., Hansen, P.O., & Haerem, T. (2015). How elite athletes reflect on their training: Strong beliefs - ambiguous feedback signals. //Reflective Practice, 16//(3), 403-417. https://doi.org/10.1080/14623943.2015.1052387
Worthen, D., & Luiselli, J.K. (2016). Attitudes and opinions of female high school athletes about sports-focused mindfulness training and practices. //Journal of Clinical Sport Psychology, 10//(3), 177-191. https://doi.org/10.1123/jcsp.2016-0005
Zhang, C.Q., Si, G.Y., Chung, P.K., & Gucciardi, D.F. (2016). Mindfulness and burnout in elite junior athletes: The mediating role of experiential avoidance. //Journal of Applied Sport Psychology, 28//(4), 437-451. https://doi.org/10.1080/10413200.2016.1162223
Vidic, Z., Martin, M.S., & Oxhandler, R. (2017). Mindfulness intervention with a US women's NCAA Division I basketball team: Impact on stress, athletic coping skills and perceptions of intervention. //Sport Psychologist, 31//(2), 147-159. https://doi.org/10.1123/tsp.2016-0077
Haase, L., May, A.C., Falahpour, M., Isakovic, S., Simmons, A.N., Hickman, S.D., ... & Paulus, M.P. (2015). A pilot study investigating changes in neural processing after mindfulness training in elite athletes. //Frontiers in Behavioral Neuroscience, 9//,229. https://doi.org/10.3389/fnbeh.2015.00229
Gustafsson, H., Davis, P., Skoog, T., Kentta, G., & Haberl, P. (2015). Mindfulness and its relationship with perceived stress, affect, and burnout in elite junior athletes. //Journal of Clinical Sport Psychology, 9//(3), 263-281. https://doi.org/10.1123/jcsp.2014-0051
Gardner, F.L., & Moore, Z.E. (2012). Mindfulness and acceptance models in sport psychology: A decade of basic and applied scientific advancements. //Canadian Psychology-Psychologie Canadienne, 53//(4), 309-318. https://doi.org/10.1037/a0030220
Fereira-Vorkapic, C., Feitoza, J.P., Martins Dantas, E.H., & Bastos, A. (2017). The impact of yoga-based interventions on jiu-jitsu wrestlers' psychological profile: A pilot study. //Gazzetta Medica Italiana Archivio per le Scienze Mediche, 176//(42924), 390-401. https://doi.org/10.23736/S0393-3660.17.03398-8
Zhang, C.Q., Chung, P.K., Si, G.Y., & Liu, J.D. (2014). Psychometric properties of the Acceptance and Action Questionnaire-II for Chinese college students and elite Chinese athletes. //Measurement and Evaluation in Counseling and Development, 47//(4), 256-270. https://doi.org/10.1177/0748175614538064
Martin, C., & Ergas, O. (2016). Mindfulness, sport and the body: The justification of physical education revisited. //Sport Ethics and Philosophy, 10//(2), 161-174. https://doi.org/10.1080/17511321.2016.1166151
Briegel-Jones, R.M.H., Knowles, Z., Eubank, M.R., Giannoulatos, K., & Elliot, D. (2013). A preliminary investigation into the effect of yoga practice on mindfulness and flow in elite youth swimmers. //Sport Psychologist, 27//(4), 349-359. https://doi.org/10.1123/tsp.27.4.349
Gardner, F.L., & Moore, Z.E. (2017). Mindfulness-based and acceptance-based interventions in sport and performance contexts. //Current Opinion in Psychology, 16//, 180-184. https://doi.org/10.1016/j.copsyc.2017.06.001
Richard, V., Halliwell, W., & Tenenbaum, G. (2017). Effects of an improvisation intervention on elite figure skaters' performance, self esteem, creativity, and mindfulness skills. //Sport Psychologist, 31//(3), 275-287. https://doi.org/10.1123/tsp.2016-0059
Kaida, N., & Kaida, K. (2016). Pro-environmental behavior correlates with present and future subjective well-being. //Environment Development and Sustainability, 18//(1), 111-127. https://doi.org/10.1007/s10668-015-9629-y
Thienot, E., Jackson, B., Dimmock, J., Grove, J.R., Bernier, M., & Fournier, J.F. (2014). Development and preliminary validation of the Mindfulness Inventory for Sport. //Psychology of Sport and Exercise, 15//(1), 72-80. https://doi.org/10.1016/j.psychsport.2013.10.003
Chen, L.H., Wu, C.H., & Chang, J.H. (2017). Gratitude and athletes' life satisfaction: The moderating role of mindfulness. //Journal of Happiness Studies, 18//(4), 1147-1159. https://doi.org/10.1007/s10902-016-9764-7
Jouper, J., & Gustafsson, H. (2013). Mindful recovery: A case study of a burned-out elite shooter. //Sport Psychologist, 27//(1), 92-102. https://doi.org/10.1123/tsp.27.1.92
Klockare, E., Gustafsson, H., Davis, P., & Lundqvist, C. (2015). Track and field athletes' experiences and perceived effects of flotation-REST. An interpretative phenomenological analysis. //International Journal of Sport Psychology, 46//(5), 409-428. https://doi.org/10.7352/IJSP.2015.46.409
Reid, D. (2011). Mindfulness and flow in occupational engagement: Presence in doing. //Canadian Journal of Occupational Therapy-Revue Canadienne D Ergotherapie, 78//(1), 50-56. https://doi.org/10.2182/cjot.2011.78.1.7
Newberg, A.B., Wintering, N., Khalsa, D.S., Roggenkamp, H., & Waldman, M.R. (2010). Meditation effects on cognitive function and cerebral blood flow in subjects with memory loss: A preliminary study. //Journal of Alzheimers Disease, 20//(2), 517-526. https://doi.org/10.3233/JAD-2010-1391
Gazelle, G., Liebschutz, J.M., & Riess, H. (2015). Physician burnout: Coaching a way out. //Journal of General Internal Medicine, 30//(4), 508-513. https://doi.org/10.1007/s11606-014-3144-y
Buscombe, R.M., Bottoms, L., Andersson, H., Smyth, A.M., Edwards, S.D., & Edwards, D.J. (2014). Neurophysiological, psychological, sport and health dimensions of three meditation techniques. //South African Journal for Research in Sport Physical Education and Recreation, 36//(2), 15-32. https://www.ajol.info/index.php/sajrs/article/view/108771
Sheldon, K.M., Prentice, M., & Halusic, M. (2015). The experiential incompatibility of mindfulness and flow absorption. //Social Psychological and Personality Science, 6//(3), 276-283. https://doi.org/10.1177/1948550614555028
Kaiseler, M., Poolton, J.M., Backhouse, S.H., & Stanger, N. (2017). The relationship between mindfulness and life stress in student-athletes: The mediating role of coping effectiveness and decision rumination. //Sport Psychologist, 31//(3), 288-298. https://doi.org/10.1123/tsp.2016-0083
Blecharz, J., Luszczynska, A., Scholz, U., Schwarzer, R., Siekanska, M., & Cieslak, R. (2014). Predicting performance and performance satisfaction: Mindfulness and beliefs about the ability to deal with social barriers in sport. //Anxiety Stress and Coping, 27//(3), 270-287. https://doi.org/10.1080/10615806.2013.839989
Fazli, Z., & Ghahari, S. (2017). The relationship between mindfulness and psychological well-being and coping strategies with stress among female basketball athletes in Tehran. //British Journal of Pharmaceutical Research, 17//(2). https://doi.org/10.9734/BJPR/2017/34105
Moss, A.S., Wintering, N., Roggenkamp, H., Khalsa, D.S., Waldman, M.R., Monti, D., ... & Newberg, A.B. (2012). Effects of an 8-week meditation program on mood and anxiety in patients with memory loss. //Journal of Alternative and Complementary Medicine, 18//(1), 48-53. https://doi.org/10.1089/acm.2011.0051
Monti, D.A., Kash, K.M., Kunkel, E.J.S., Brainard, G., Wintering, N., Moss, A.S., ... & Newberg, A.B. (2012). Changes in cerebral blood flow and anxiety associated with an 8-week mindfulness programme in women with breast cancer. //Stress and Health, 28//(5), 397-407. https://doi.org/10.1002/smi.2470
Zhang, C.Q., Chung, P.K., Si, G.Y., & Gucciardi, D.F. (2016). Measuring decentering as a unidimensional construct: The development and initial validation of the Decentering Scale for Sport. //Psychology of Sport and Exercise, 24//, 147-158. https://doi.org/10.1016/j.psychsport.2016.02.006
Gardner, F.L., & Moore, Z.E. (2004). A mindfulness-acceptance-commitment-based approach to athletic performance enhancement: Theoretical considerations. //Behavior Therapy, 35//(4), 707-723. https://doi.org/10.1016/S0005-7894(04)80016-9
Denny, K., & Steiner, H. (2009). External and internal factors influencing happiness in elite collegiate athletes. //Child Psychiatry & Human Development, 40//(1), 55-72. https://doi.org/10.1007/s10578-008-0111-z
Mosewich, A.D., Crocker, P.R.E., Kowalski, K.C., & DeLongis, A. (2013). Applying self-compassion in sport: An intervention with women athletes. //Journal of Sport & Exercise Psychology, 35//(5), 514-524. https://doi.org/10.1123/jsep.35.5.514
van Berkel, J., Boot, C.R.L., Proper, K.I., Bongers, P.M., & van der Beek, A.J. (2013). Process evaluation of a workplace health promotion intervention aimed at improving work engagement and energy balance. //Journal of Occupational and Environmental Medicine, 55//(1), 31-38. https://doi.org/10.1097/JOM.0b013e318269e5a6
Nolte, K., Steyn, B.J.M., Kruger, P.E., & Fletcher, L. (2016). Mindfulness, psychological well-being and doping in talented young high-school athletes. //South African Journal for Research in Sport Physical Education and Recreation, 38//(2), 153-165. https://www.ajol.info/index.php/sajrs/article/view/141767
Tang, Y.M., Geng, L.U., Schultz, P.W., Zhou, K.X., & Xiang, P. (2017). The effects of mindful learning on pro-environmental behavior: A self-expansion perspective. //Consciousness and Cognition, 51//, 140-148. https://doi.org/10.1016/j.concog.2017.03.005
Kreutzer, C.P., & Bowers, C.A. (2016). Making games for health engaging: The influence of cognitive skills. //Games for Health Journal, 5//(1), 21-26. https://doi.org/10.1089/g4h.2015.0048
Barratt, E.L., & Davis, N.J. (2015). Autonomous sensory meridian response (ASMR): A flow-like mental state. //PeerJ, 3//,e851. https://doi.org/10.7717/peerj.851
Diaz, F.M. (2013). Mindfulness, attention, and flow during music listening: An empirical investigation. //Psychology of Music, 41//(1), 42-58. https://doi.org/10.1177/0305735611415144
Yook, Y.S., Kang, S.J., & Park, I. (2017). Effects of physical activity intervention combining a new sport and mindfulness yoga on psychological characteristics in adolescents. //International Journal of Sport and Exercise Psychology, 15//(2), 109-117. https://doi.org/10.1080/1612197X.2015.1069878
[img[tps50.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Velotti, P., Garofalo, C., D'Aguanno, M., Petrocchi, C., Popolo, R., Salvatore, G., ... & Dimaggio, G. (2016). Mindfulness moderates the relationship between aggression and antisocial personality disorder traits: Preliminary investigation with an offender sample. //Comprehensive Psychiatry, 64//, 38-45. https://doi.org/10.1016/j.comppsych.2015.08.004
Borders, A., & Giancola, P.R. (2011). Trait and state hostile rumination facilitate alcohol-related aggression. //Journal of Studies on Alcohol and Drugs, 72//(4), 545-554. https://doi.org/10.15288/jsad.2011.72.545
Gallagher, K.E., & Parrott, D.J. (2011). Does distraction reduce the alcohol-aggression relation? A cognitive and behavioral test of the attention-allocation model. //Journal of Consulting and Clinical Psychology, 79//(3), 319-329. https://doi.org/10.1037/a0023065
Singh, N.N., Wahler, R.G., Adkins, A.D., & Myers, R.E. (2003). Soles of the feet: A mindfulness-based self-control intervention for aggression by an individual with mild mental retardation and mental illness. //Research in Developmental Disabilities, 24//(3), 158-169. https://doi.org/10.1016/S0891-4222(03)00026-X
Gao, Y., Shi, L., Smith, K.C., Kingree, J.B., & Thompson, M. (2016). Physical aggression and mindfulness among college students: Evidence from china and the United states. //International Journal of Environmental Research and Public Health, 13//(5), 480. https://doi.org/10.3390/ijerph13050480
Van Doesum, N.J., Van Prooijen, J.W., Verburgh, L., & Van Lange, P.A.M. (2016). Social hostility in soccer and beyond. //PLOS ONE, 11//(4), e0153577. https://doi.org/10.1371/journal.pone.0153577
Singh, N.N., Lancioni, G.E., Singh, A.D.A., Winton, A.S.W., Singh, A.N.A., & Singh, J. (2011). Adolescents with Asperger syndrome can use a mindfulness-based strategy to control their aggressive behavior. //Research in Autism Spectrum Disorders, 5//(3), 1103-1109. https://doi.org/10.1016/j.rasd.2010.12.006
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Chan, J., & Winton, A.S.W. (2016). Effectiveness of caregiver training in mindfulness-based positive behavior support (MBPBS) vs. training-as-usual (TAU): A randomized controlled trial. //Frontiers in Psychology, 7//, 1549. https://doi.org/10.3389/fpsyg.2016.01549
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Adkins, A.D., Singh, J., & Singh, A.N. (2007). Mindfulness training assists individuals with moderate mental retardation to maintain their community placements. //Behavior Modification, 31//(6), 800-814. https://doi.org/10.1177/0145445507300925
Hoogsteder, L.M., Kuijpers, N., Stams, G.J.J.M., Van Horn, J.E., Hendriks, J., & Wissink, I.B. (2014). Study on the effectiveness of responsive aggression regulation therapy (Re-ART). //International Journal of Forensic Mental Health, 13//(1), 25-35. https://doi.org/10.1080/14999013.2014.893711
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2008). Clinical and benefit-cost outcomes of teaching a mindfulness-based procedure to adult offenders with intellectual disabilities. //Behavior Modification, 32//(5), 622-637. https://doi.org/10.1177/0145445508315854
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Adkins, A.D., Wahler, R.G., Sabaawi, M., ... & Singh, J. (2007). Individuals with mental illness can control their aggressive behavior through mindfulness training. //Behavior Modification, 31//(3), 313-328. https://doi.org/10.1177/0145445506293585
Adkins, A.D., Singh, A.N., Winton, A.S.W., McKeegan, G.F., & Singh, J. (2010). Using a mindfulness-based procedure in the community: Translating research to practice. //Journal of Child and Family Studies, 19//(2), 175-183. https://doi.org/10.1007/s10826-009-9348-9
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Singh, A.N.A., & Singh, A.D.A. (2011). Peer with intellectual disabilities as a mindfulness-based anger and aggression management therapist. //Research in Developmental Disabilities, 32//(6), 2690-2696. https://doi.org/10.1016/j.ridd.2011.06.003
Yusainy, C., & Lawrence, C. (2014). Relating mindfulness and self-control to harm to the self and to others. //Personality and Individual Differences, 64//, 78-83. https://doi.org/10.1016/j.paid.2014.02.015
Shorey, R.C., Anderson, S., & Stuart, G.L. (2015). The relation between trait mindfulness and aggression in men seeking residential substance use treatment. //Journal of Interpersonal Violence, 30//(10), 1633-1650. https://doi.org/10.1177/0886260514548586
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Winton, A.S.W., Myers, R.E., Singh, A.N.A., ... & Singh, J. (2013). Mindfulness-based treatment of aggression in individuals with mild intellectual disabilities: A waiting list control study. //Mindfulness, 4//(2), 158-167. https://doi.org/10.1007/s12671-012-0180-8
Chapman, M.J., & Mitchell, D. (2013). Mindfully valuing people now: An evaluation of introduction to mindfulness workshops for people with intellectual disabilities. //Mindfulness, 4//(2), 168-178. https://doi.org/10.1007/s12671-012-0183-5
Shorey, R.C., Elmquist, J., Anderson, S.E., & Stuart, G.L. (2015). Dispositional mindfulness and aggression among women in residential substance use treatment. //Substance Use & Misuse, 50//(14). 1840-1844. https://doi.org/10.3109/10826084.2015.1050112
Singh, N.N., Lancioni, G.E., Myers, R.E., Karazsia, B.T., Courtney, T.M., & Nugent, K. (2017). A mindfulness-based intervention for self-management of verbal and physical aggression by adolescents with Prader–Willi syndrome. //Developmental Neurorehabilitation, 20//(5), 253-260. https://doi.org/10.3109/17518423.2016.1141436
Sun, J.W., Xue, J.M., Bai, H.Y., Zhang, H.H., Lin, P.Z., & Cao, F.L. (2016). The association between negative life events, neuroticism and aggression in early adulthood. //Personality and Individual Differences, 102//, 139-144. https://doi.org/10.1016/j.paid.2016.06.066
Felver, J.C., Frank, J.L., & McEachern, A.D. (2014). Effectiveness, acceptability, and feasibility of the soles of the feet mindfulness-based intervention with elementary school students. //Mindfulness, 5//(5), 589-597. https://doi.org/10.1007/s12671-013-0238-2
Heppner, W.L., Kernis, M.H., Lakey, C.E., Campbell, W.K., Goldman, B.M., Davis, P.J., ... & Cascio, E.V. (2008). Mindfulness as a means of reducing aggressive behavior: Dispositional and situational evidence. //Aggressive Behavior, 34//(5), 486-496. https://doi.org/10.1002/ab.20258
Singh, N.N., Lancioni, G.E., Manikam, R., Winton, A.S.W., Singh, A.N.A., Singh, J., ... & Singh, A.D.A. (2011). A mindfulness-based strategy for self-management of aggressive behavior in adolescents with autism. //Research in Autism Spectrum Disorders, 5//(3), 1153-1158. https://doi.org/10.1016/j.rasd.2010.12.012
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Winton, A.S.W., Singh, J., & Wahler, R.G. (2014). Shenpa and compassionate abiding: Mindfulness-based practices for anger and aggression by individuals with schizophrenia. //International Journal of Mental Health and Addiction, 12//(2), 138-152. https://doi.org/10.1007/s11469-013-9469-7
Singh, N.N., Lancioni, G.E., Joy, S.D.S., Winton, A.S.W., Sabaawi, M., Wahler, R.G., ... & Singh, J. (2007). Adolescents with conduct disorder can be mindful of their aggressive behavior. //Journal of Emotional and Behavioral Disorders, 15//(1), 56-63. https://doi.org/10.1177/10634266070150010601
Singh, N.N., Lancioni, G.E., Karazsia, B.T., & Myers, R.E. (2016). Caregiver training in mindfulness-based positive behavior supports (MBPBS): Effects on caregivers and adults with intellectual and developmental disabilities. //Frontiers in Psychology, 7//, 98. https://doi.org/10.3389/fpsyg.2016.00098
Borders, A., Earleywine, M., & Jajodia, A. (2010). Could mindfulness decrease anger, hostility, and aggression by decreasing rumination?. //Aggressive Behavior, 36//(1), 28-44. https://doi.org/10.1002/ab.20327
Wupperman, P., Cohen, M.G., Haller, D.L., Flom, P., Litt, L.C., & Rounsaville, B.J. (2015). Mindfulness and modification therapy for behavioral dysregulation: A comparison trial focused on substance use and aggression. //Journal of Clinical Psychology, 71//(10), 964-978. https://doi.org/10.1002/jclp.22213
Yusainy, C., & Lawrence, C. (2015). Brief mindfulness induction could reduce aggression after depletion. //Consciousness and Cognition, 33//, 125-134. https://doi.org/10.1016/j.concog.2014.12.008
Birnbaum, L. (2005). Adolescent aggression and differentiation of self: Guided mindfulness meditation in the service of individuation. //The Scientific World Journal, 5//, 478-489. https://doi.org/10.1100/tsw.2005.59
Marotta, P.L. (2017). A systematic review of behavioral health interventions for sex offenders with intellectual disabilities. //Sexual Abuse: A Journal of Research and Treatment, 29//(2), 148-185. https://doi.org/10.1177/1079063215569546
Eisenlohr-Moul, T.A., Peters, J.R., Pond, R.S., & DeWall, C.N. (2016). Both trait and state mindfulness predict lower aggressiveness via anger rumination: A multilevel mediation analysis. //Mindfulness, 7//(3), 713-726. https://doi.org/10.1007/s12671-016-0508-x
Kelley, T.M., & Lambert, E.G. (2012). Mindfulness as a potential means of attenuating anger and aggression for prospective criminal justice professionals. //Mindfulness, 3//(4), 261-274. https://doi.org/10.1007/s12671-012-0090-9
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Myers, R.E., Winton, A.S.W., Latham, L.L., ... & Nugent, K. (2015). Effects of training staff in MBPBS on the use of physical restraints, staff stress and turnover, staff and peer injuries, and cost effectiveness in developmental disabilities. //Mindfulness, 6//(4). 926-937. https://doi.org/10.1007/s12671-014-0369-0
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Myers, R.E., Latham, L.L., ... & Singh, J. (2014).Mindfulness-based positive behavior support (MBPBS) for mothers of adolescents with autism spectrum disorder: Effects on adolescents’ behavior and parental stress. //Mindfulness, 5//(6), 646-657. https://doi.org/10.1007/s12671-014-0321-3
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Curtis, W.J., Wahler, R.G., Sabaawi, M., ... & McAleavey, K. (2006). Mindful staff increase learning and reduce aggression in adults with developmental disabilities. //Research in Developmental Disabilities, 27//(5), 545-558. https://doi.org/10.1016/j.ridd.2005.07.002
Barlett, C.P., & Barlett, N.D. (2016). Using the risk and resilience approach to predict psychopathy in an emerging adult sample. //Emerging Adulthood, 4//(3), 186-191. https://doi.org/10.1177/2167696815579829
Fresnics, A., & Borders, A. (2017). Angry rumination mediates the unique associations between self-compassion and anger and aggression. //Mindfulness, 8//(3), 554-564. https://doi.org/10.1007/s12671-016-0629-2
Levett-Jones, T., Pitt, V., Courtney-Pratt, H., Harbrow, G., & Rossiter, R. (2015). What are the primary concerns of nursing students as they prepare for and contemplate their first clinical placement experience?. //Nurse Education in Practice, 15//(4), 304-309. https://doi.org/10.1016/j.nepr.2015.03.012
Wongtongkam, N., Day, A., Ward, P.R., & Winefield, A.H. (2015). The influence of mindfulness meditation on angry emotions and violent behavior on Thai technical college students. //European Journal of Integrative Medicine, 7//(2), 124-130. https://doi.org/10.1016/j.eujim.2014.10.007
Miodrag, N., & Hodapp, R.M. (2011). Chronic stress and its implications on health among families of children with intellectual and developmental disabilities (I/DD). //International Review of Research in Developmental Disabilities, 41//, 127-161. https://doi.org/10.1016/B978-0-12-386495-6.00004-7
Peters, J.R., Smart, L.M., Eisenlohr-Moul, T.A., Geiger, P.J., Smith, G.T., & Baer, R.A. (2015). Anger rumination as a mediator of the relationship between mindfulness and aggression: The utility of a multidimensional mindfulness model. //Journal of Clinical Psychology, 71//(9). 871-884. https://doi.org/10.1002/jclp.22189
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2009). Mindful staff can reduce the use of physical restraints when providing care to individuals with intellectual disabilities. //Journal of Applied Research in Intellectual Disabilities, 22//(2), 194-202. https://doi.org/10.1111/j.1468-3148.2008.00488.x
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2011). Can adult offenders with intellectual disabilities use mindfulness-based procedures to control their deviant sexual arousal?. //Psychology Crime & Law, 17//(2), 165-179. https://doi.org/10.1080/10683160903392731
Skare, M., Hopkins, W.G., & Solberg, P.A. (2017). Determinants of vitality during a training cycle in a cohort of special-forces operators. //Military Psychology, 29//(1), 1-10. https://doi.org/10.1037/mil0000129
Yildiran, H., & Holt, R.R. (2015). Thematic analysis of the effectiveness of an inpatient mindfulness group for adults with intellectual disabilities. //British Journal of Learning Disabilities, 43//(1), 49-54. https://doi.org/10.1111/bld.12085
Krishnakumar, S., & Robinson, M.D. (2015). Maintaining an even keel: An affect-mediated model of mindfulness and hostile work behavior. //Emotion, 15//(5), 579-589. https://doi.org/10.1037/emo0000060
Zarling, A., & Berta, M. (2017). An acceptance and commitment therapy approach for partner aggression. //Partner Abuse, 8//(1), 89-109. https://doi.org/10.1891/1946-6560.8.1.89
Reiss, S. (2000). A mindful approach to mental retardation. //Journal of Social Issues, 56//(1), 65-79. https://doi.org/10.1111/0022-4537.00152
Franco, C., Amutio, A., Lopez-Gonzalez, L., Oriol, X., & Martinez-Taboada, C. (2016). Effect of a mindfulness training program on the impulsivity and aggression levels of adolescents with behavioral problems in the classroom. //Frontiers in Psychology, 7//,1385. https://doi.org/10.3389/fpsyg.2016.01385
Myers, R.E. (2017). Cultivating mindfulness to promote self-care and well-being in perioperative nurses. //Aorn Journal, 105//(3), 259-266. https://doi.org/10.1016/j.aorn.2017.01.005
Haugvaldstad, M.J., & Husum, T.L. (2016). Influence of staffs emotional reactions on the escalation of patient aggression in mental health care. //International Journal of Law and Psychiatry, 49//, 130-137. https://doi.org/10.1016/j.ijlp.2016.09.001
Wehmeyer, M., & Schwartz, M. (1998). The relationship between self-determination and quality of life for adults with mental retardation. //Education and Training in Mental Retardation and Developmental Disabilities, 33//(1), 3-12.
Fruzzetti, A.E., & Levensky, E.R. (2000). Dialectical behavior therapy for domestic violence: Rationale and procedures. //Cognitive and Behavioral Practice, 7//(4), 435-447. https://doi.org/10.1016/S1077-7229(00)80055-3
Bethay, J.S., Wilson, K.G., Schnetzer, L.W., Nassar, S.L., & Bordieri, M.J. (2013). A controlled pilot evaluation of acceptance and commitment training for intellectual disability staff. //Mindfulness, 4//(2), 113-121. https://doi.org/10.1007/s12671-012-0103-8
Saavedra, M.C., Chapman, K.E., & Rogge, R.D. (2010). Clarifying links between attachment and relationship quality: Hostile conflict and mindfulness as moderators. //Journal of Family Psychology, 24//(4), 380-390. https://doi.org/10.1037/a0019872
Shorey, R.C., Stuart, G.L., Moore, T.M., & McNulty, J.K. (2014). The temporal relationship between alcohol, marijuana, angry affect, and dating violence perpetration: A daily diary study with female college students. //Psychology of Addictive Behaviors, 28//(2), 516-523. https://doi.org/10.1037/a0034648
Peled, M., & Moretti, M.M. (2010). Ruminating on rumination: Are rumination on anger and sadness differentially related to aggression and depressed mood?. //Journal of Psychopathology and Behavioral Assessment, 32//(1), 108-117. https://doi.org/10.1007/s10862-009-9136-2
Gallagher, K.E., Hudepohl, A.D., & Parrott, D.J. (2010). Power of being present: The role of mindfulness on the relation between men's alcohol use and sexual aggression toward intimate partners. //Aggressive Behavior, 36//(6), 405-413. https://doi.org/10.1002/ab.20351
Liang, L.D.H., Lian, H.W., Brown, D.J., Ferris, D.L., Hanig, S., & Keeping, L.M. (2016). Why are abusive supervisors abusive? A dual-system self-control model. //Academy of Management Journal, 59//(4), 1385-1406. https://doi.org/10.5465/amj.2014.0651
Borders, A., & Liang, C.T.H. (2011). Rumination partially mediates the associations between perceived ethnic discrimination, emotional distress, and aggression. //Cultural Diversity & Ethnic Minority Psychology, 17//(2), 125-133. https://doi.org/10.1037/a0023357
Stine-Morrow, E.A.L., Parisi, J.M., Morrow, D.G., Greene, J., & Park, D.C. (2007). An engagement model of cognitive optimization through adulthood. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 62//, 62-69. http://dx.doi.org/10.1093/geronb/62.special_issue_1.62
[img[tps51.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Elvery, N., Jensen, M.P., Ehde, D.M., & Day, M.A. (2017). Pain catastrophizing, mindfulness, and pain acceptance: What's the difference?. //Clinical Journal of Pain, 33//(6), 485-495. https://doi.org/10.1097/AJP.0000000000000430
Talaei-Khoei, M., Ogink, P.T., Jha, R., Ring, D., Chen, N., & Vranceanu, A.M. (2017). Cognitive intrusion of pain and catastrophic thinking independently explain interference of pain in the activities of daily living. //Journal of Psychiatric Research, 91//, 156-163. https://doi.org/10.1016/j.jpsychires.2017.04.005
Kassardjian, C.D., Gardner-Nix, J., Dupak, K., Barbati, J., & Lam-McCullock, J. (2008). Validating prism (pictorial representation of illness and self measure) as a measure of suffering in chronic non-cancer pain patients. //Journal of Pain, 9//(12), 1135-1143. https://doi.org/10.1016/j.jpain.2008.06.016
Poulin, P.A., Romanow, H.C., Rahbari, N., Small, R., Smyth, C.E., Hatchard, T., ... & Wilson, K.G. (2016). The relationship between mindfulness, pain intensity, pain catastrophizing, depression, and quality of life among cancer survivors living with chronic neuropathic pain. //Supportive Care in Cancer, 24//(10), 4167-4175. https://doi.org/10.1007/s00520-016-3243-x
Schutze, R., Rees, C., Preece, M., & Schutze, M. (2010). Low mindfulness predicts pain catastrophizing in a fear-avoidance model of chronic pain. //Pain, 148//(1), 120-127. https://doi.org/10.1016/j.pain.2009.10.030
Kratz, A.L., Hirsh, A.T., Ehde, D.M., & Jensen, M.P. (2013). Acceptance of pain in neurological disorders: Associations with functioning and psychosocial well-being. //Rehabilitation Psychology, 58//(1), 1-9. https://doi.org/10.1037/a0031727
Jeitler, M., Brunnhuber, S., Meier, L., Ludtke, R., Bussing, A., Kessler, C., ... & Michalsen, A. (2015). Effectiveness of Jyoti meditation for patients with chronic neck pain and psychological distress-a randomized controlled clinical trial. //Journal of Pain, 16//(1), 77-86. https://doi.org/10.1016/j.jpain.2014.10.009
Petter, M., Chambers, C.T., McGrath, P.J., & Dick, B.D. (2013). The role of trait mindfulness in the pain experience of adolescents. //Journal of Pain, 14//(12), 1709-1718. https://doi.org/10.1016/j.jpain.2013.08.015
Mun, C.J., Thummala, K., Davis, M.C., Karoly, P., Tennen, H., & Zautra, A.J. (2017). Predictors and social consequences of daily pain expectancy among adults with chronic pain. //Pain, 158//(7), 1224-1233. https://doi.org/10.1097/j.pain.0000000000000903
Blodt, S., Pach, D., Roll, S., & Witt, C.M. (2014). Effectiveness of app-based relaxation for patients with chronic low back pain (Relaxback) and chronic neck pain (Relaxneck): study protocol for two randomized pragmatic trials. //Trials, 15//490. https://doi.org/10.1186/1745-6215-15-490
Brown, C.A., & Jones, A.K.P. (2013). Psychobiological correlates of improved mental health in patients with musculoskeletal pain after a mindfulness-based pain management program. //Clinical Journal of Pain, 29//(3), 233-244. https://doi.org/10.1097/AJP.0b013e31824c5d9f
Mason, V.L., Mathias, B., & Skevington, S.M. (2008). Accepting low back pain: Is it related to a good quality of life?. //Clinical Journal of Pain, 24//(1), 22-29. https://doi.org/10.1097/AJP.0b013e318156d94f
Morone, N.E., Greco, C.M., Moore, C.G., Rollman, B.L., Lane, B., Morrow, L.A., ... & Weiner, D.K. (2016). A mind-body program for older adults with chronic low back pain a randomized clinical trial. //JAMA Internal Medicine, 176//(3), 329-337. https://doi.org/10.1001/jamainternmed.2015.8033
Johannsen, M., O'Connor, M., O'Toole, M.S., Jensen, A.B., Hojris, I., & Zachariae, R. (2016). Efficacy of mindfulness-based cognitive therapy on late post-treatment pain in women treated for primary breast cancer: A randomized controlled trial. //Journal of Clinical Oncology, 34//(28), 3390-+. https://doi.org/10.1200/JCO.2015.65.0770
de Boer, M.J., Steinhagen, H.E., Versteegen, G.J., Struys, M.M.R.F., & Sanderman, R. (2014). Mindfulness, acceptance and catastrophizing in chronic pain. //PLOS ONE, 9//(1). https://doi.org/10.1371/journal.pone.0087445
Jay, K., Brandt, M., Hansen, K., Sundstrup, E., Jakobsen, M.D., Schraefel, M., ... & Andersen, L.L. (2015). Effect of individually tailored biopsychosocial workplace interventions on chronic musculoskeletal pain and stress among laboratory technicians: Randomized controlled trial. //Pain Physician, 18//(5), 444. https://doi.org/10.1186/1471-2474-15-444
Rabey, M., Smith, A., Beales, D., Slater, H., & O'Sullivan, P. (2016). Differing psychologically derived clusters in people with chronic low back pain are associated with different multidimensional profiles. //Clinical Journal of Pain, 32//(12), 1015-1027. https://doi.org/10.1097/AJP.0000000000000363
Petter, M., Chambers, C.T., & Chorney, J.M. (2013). The effects of mindful attention on cold pressor pain in children. //Pain Research & Management, 18//(1), 39-45. http://dx.doi.org/10.1155/2013/857045
Ruskin, D.A., Gagnon, M.M., Kohut, S.A., Stinson, J.N., & Walker, K.S. (2017). A mindfulness program adapted for adolescents with chronic pain feasibility, acceptability, and initial outcomes. //Clinical Journal of Pain, 33//(11), 1019-1029. https://doi.org/10.1097/AJP.0000000000000490
Meints, S.M., Stout, M., Abplanalp, S., & Hirsh, A.T. (2017). Pain-related rumination, but not magnification or helplessness, mediates race and sex differences in experimental pain. //Journal of Pain, 18//(3), 332-339. https://doi.org/10.1016/j.jpain.2016.11.005
Gardiner, P., Lestoquoy, A.S., Gergen-Barnett, K., Penti, B., White, L.F., Saper, R., ... & Liebschutz, J.M. (2017). Design of the integrative medical group visits randomized control trial for underserved patients with chronic pain and depression. //Contemporary Clinical Trials, 54//, 25-35. https://doi.org/10.1016/j.cct2016.12.013
Gardner-Nix, J., Barbati, J., Grummitt, J., Pukal, S., & Newton, R.R. (2014). Exploring the effectiveness of a mindfulness-based chronic pain management course delivered simultaneously to on-site and off-site patients using telemedicine. //Mindfulness, 5//(3), 223-231. https://doi.org/10.1007/s12671-012-0169-3
Prins, B., Decuypere, A., & Van Damme, S. (2014). Effects of mindfulness and distraction on pain depend upon individual differences in pain catastrophizing: An experimental study. //European Journal of Pain, 18//(9), 1307-1315. https://doi.org/10.1002/j.1532-2149.2014.491.x
Cederberg, J.T., Dahl, J., von Essen, L., & Ljungman, G. (2017). An acceptance-based intervention for children and adolescents with cancer experiencing acute pain - a single-subject study. //Journal of Pain research, 10//, 2195-2203. https://doi.org/10.2147/JPR.S139087
Jay, K., Brandt, M., Sundstrup, E., Schraefel, M.C., Jakobsen, M.D., Sjogaard, G., ... & Andersen, L.L. (2014). Effect of individually tailored biopsychosocial workplace interventions on chronic musculoskeletal pain, stress and work ability among laboratory technicians: Randomized controlled trial protocol. //BMC Musculoskeletal Disorders, 15//. https://doi.org/10.1186/1471-2474-15-444
Garland, E.L., & Howard, M.O. (2013). Mindfulness-oriented recovery enhancement reduces pain attentional bias in chronic pain patients. //Psychotherapy and Psychosomatics, 82//(5), 311-318. https://doi.org/10.1159/000348868
Mun, C.J., Okun, M.A., & Karoly, P. (2014). Trait mindfulness and catastrophizing as mediators of the association between pain severity and pain-related impairment. //Personality and Individual Differences, 66//, 68-73. https://doi.org/10.1016/j.paid.2014.03.016
Adachi, T., Nakae, A., & Sasaki, J. (2016). Effects of a hypnotic induction and an unpleasantness-focused analgesia suggestion on pain catastrophizing to an experimental heat stimulus: A preliminary study. //International Journal of Clinical and Experimental Hypnosis, 64//(4), 434-455. https://doi.org/10.1080/00207144.2016.1209039
Zeidan, F., Emerson, N.M., Farris, S.R., Ray, J.N., Jung, Y., McHaffie, J.G., ... & Coghill, R.C. (2015). Mindfulness meditation-based pain relief employs different neural mechanisms than placebo and sham mindfulness meditation-induced analgesia. //Journal of Neuroscience, 35//(46). https://doi.org/10.1523/JNEUROSCI.2542-15.2015
Dowd, H., Hogan, M.J., McGuire, B.E., Davis, M.C., Sarma, K.M., Fish, R.A., ... & Zautra, A.J. (2015). Comparison of an online mindfulness-based cognitive therapy intervention with online pain management psychoeducation a randomized controlled study. //Clinical Journal of Pain, 31//(6), 517-527. https://doi.org/10.1097/AJP.0000000000000201
Wright, C.J., & Schutte, N.S. (2014). The relationship between greater mindfulness and less subjective experience of chronic pain: Mediating functions of pain management self-efficacy and emotional intelligence. //Australian Journal of Psychology, 66//(3), 181-186. https://doi.org/10.1111/ajpy.12041
Choi, K.E., Rampp, T., Saha, F.J., Dobos, G.J., & Musial, F. (2011). Pain modulation by meditation and electroacupuncture in experimental submaximum effort tourniquet technique (sett). //Explore: The Journal of Science and Healing, 7//(4), 239-245. https://doi.org/10.1016/j.explore.2011.04.004
Ginzburg, K., Tsur, N., Karmin, C., Speizman, T., Tourgeman, R., & Defrin, R. (2015). Body awareness and pain habituation: The role of orientation towards somatic signals. //Journal of Behavioral Medicine, 38//(6), 876-885. https://doi.org/10.1007/s10865-015-9676-8
McCracken, L.A., & Eccleston, C. (2003). Coping or acceptance: What to do about chronic pain?. //Pain, 105//(42737), 197-204. https://doi.org/10.1016/S0304-3959(03)00202-1
Esch, T., Winkler, J., Auwarter, V., Gnann, H., Huber, R., & Schmidt, S. (2017). Neurobiological aspects of mindfulness in pain autoregulation: Unexpected results from a randomized-controlled trial and possible implications for meditation research. //Frontiers in Human Neuroscience, 10//, 674. https://doi.org/10.3389/fnhum.2016.00674
Zeidan, F., Adler-Neal, A.L., Wells, R.E., Stagnaro, E., May, L.M., Eisenach, J.C., ... & Coghill, R.C. (2016). Mindfulness-Meditation-Based Pain Relief Is Not Mediated by Endogenous Opioids. //Journal of Neuroscience, 36//(11), 3391-3397. https://doi.org/10.1523/JNEUROSCI.4328-15.2016
Brotto, L.A., Basson, R., Smith, K.B., Driscoll, M., & Sadownik, L. (2015). Mindfulness-based group therapy for women with provoked vestibulodynia. //Mindfulness, 6//(3), 417-432. https://doi.org/10.1007/s12671-013-0273-z
Rosenzweig, S., Greeson, J.M., Reibel, D.K., Green, J.S., Jasser, S.A., & Beasley, D. (2010). Mindfulness-based stress reduction for chronic pain conditions: Variation in treatment outcomes and role of home meditation practice. //Journal of Psychosomatic Research, 68//(1), 29-36. https://doi.org/10.1016/j.jpsychores.2009.03.010
Rod, K. (2016). Finding ways to lift barriers to care for chronic pain patients: Outcomes of using internet-based self-management activities to reduce pain and improve quality of life. //Pain Research & Management//, NA. https://doi.org/10.1155/2016/8714785
Crofford, L.J. (2015). Psychological aspects of chronic musculoskeletal pain. //Best Practice & Research in Clinical Rheumatology, 29//(1), 147-155. https://doi.org/10.1016/j.berh.2015.04.027
Bawa, F.L.M., Mercer, S.W., Atherton, R.J., Clague, F., Keen, A., Scott, N.W., ... & Bond, C.M. (2015). Does mindfulness improve outcomes in patients with chronic pain? systematic review and meta-analysis. //British Journal of General Practice, 65//(635), E387-E400. https://doi.org/10.3399/bjgp15X685297
Whitburn, L.Y., Jones, L.E., Davey, M.A., & Small, R. (2014). Women's experiences of labour pain and the role of the mind: An exploratory study. //Midwifery, 30//(9), 1029-1035. https://doi.org/10.1016/j.midw.2014.04.005
Jay, K., Brandt, M., Jakobsen, M.D., Sundstrup, E., Berthelsen, K.G., Schraefel, M.C., ... & Andersen, L.L. (2016). Ten weeks of physical-cognitive-mindfulness training reduces fear-avoidance beliefs about work-related activity: Randomized controlled trial. //Medicine, 95//(34). https://doi.org/10.1097/MD.0000000000003945
Sharon, H., Maron-Katz, A., Ben Simon, E., Flusser, Y., Hendler, T., Tarrasch, R., ... & Brill, S. (2016). Mindfulness Meditation Modulates Pain Through Endogenous Opioids. //American Journal of Medicine, 129//(7), 755-758. https://doi.org/10.1016/j.amjmed.2016.03.002
de Figueiredo, J.M., & Griffith, J.L. (2016). Chronic pain, chronic demoralization, and the role of psychotherapy. //Journal of Contemporary Psychotherapy, 46//(3), 167-177. https://doi.org/10.1007/s10879-016-9331-x
Lutz, A., McFarlin, D.R., Perlman, D.M., Salomons, T.V., & Davidson, R.J. (2013). Altered anterior insula activation during anticipation and experience of painful stimuli in expert meditators. //Neuroimage, 64//, 538-546. https://doi.org/10.1016/j.neuroimage.2012.09.030
Wong, S.Y.S., Chan, F.W.K., Wong, R.L.P., Chu, M.C., Lam, Y.Y.K., Mercer, S.W., ... & Ma, S.H. (2011). Comparing the effectiveness of mindfulness-based stress reduction and multidisciplinary intervention programs for chronic pain a randomized comparative trial. //Clinical Journal of Pain, 27//(8), 724-734. https://doi.org/10.1097/AJP.0b013e3182183c6e
Day, M.A., & Thorn, B.E. (2017). Mindfulness-based cognitive therapy for headache pain: An evaluation of the long-term maintenance of effects. //Complementary Therapies in Medicine, 33//, 94-98. https://doi.org/10.1016/j.ctim.2017.06.009
Karp, J.F., Shega, J.W., Morone, N.E., & Weiner, D.K. (2008). Advances in understanding the mechanisms and management of persistent pain in older adults. //British Journal of Anaesthesia, 101//(1), 111-120. https://doi.org/10.1093/bja/aen090
Petter, M., McGrath, P.J., Chambers, C.T., & Dick, B.D. (2014). The effects of mindful attention and state mindfulness on acute experimental pain among adolescents. //Journal of Pediatric Psychology, 39//(5), 521-531. https://doi.org/10.1093/jpepsy/jsu007
Day, M.A., Smitherman, A., Ward, L.C., & Thorn, B.E. (2015). An investigation of the associations between measures of mindfulness and pain catastrophizing. //Clinical Journal of Pain, 31//(3), 222-228. https://doi.org/10.1097/AJP.0000000000000102
Davis, M.C., Zautra, A.J., Wolf, L.D., Tennen, H., & Yeung, E.W. (2015). Mindfulness and cognitive-behavioral interventions for chronic pain: Differential effects on daily pain reactivity and stress reactivity. //Journal of Consulting and Clinical Psychology, 83//(1), 24-35. https://doi.org/10.1037/a0038200
Reiner, K., Granot, M., Soffer, E., & Lipsitz, J.D. (2016). A brief mindfulness meditation training increases pain threshold and accelerates modulation of response to tonic pain in an experimental study. //Pain Medicine, 17//(4), 628-635. https://doi.org/10.1111/pme.12883
Elander, J., Duarte, J., Maratos, F.A., & Gilbert, P. (2014). Opioids, substance abuse & addictions section. //Pain Medicine, 15//(4), 613-624. https://doi.org/10.1111/pme.12263
Shariff, F., Carter, J., Dow, C., Polley, M., Salinas, M., & Ridge, D. (2009). Mind and body management strategies for chronic pain and rheumatoid arthritis. //Qualitative Health Research, 19//(8), 1037-1049. https://doi.org/10.1177/1049732309341189
Kold, M., Hansen, T., Vedsted-Hansen, H., & Forman, A. (2012). Mindfulness-based psychological intervention for coping with pain in endometriosis. //Nordic Psychology, 64//(1), 2-16. https://doi.org/10.1080/19012276.2012.693727
Day, M.A., & Thorn, B.E. (2016). The mediating role of pain acceptance during mindfulness-based cognitive therapy for headache. //Complementary Therapies in Medicine, 25//, 51-54. https://doi.org/10.1016/j.ctim.2016.01.002
Garland, E.L., Baker, A.K., Larsen, P., Riquino, M.R., Priddy, S.E., Thomas, E., ... & Nakamura, Y. (2017). Randomized controlled trial of brief mindfulness training and hypnotic suggestion for acute pain relief in the hospital setting. //Journal of General Internal Medicine, 32//(10), 1106-1113. https://doi.org/10.1007/s11606-017-4116-9
LaChapelle, D.L., Lavoie, S., & Boudreau, A. (2008). The meaning and process of pain acceptance. perceptions of women living with arthritis and fibromyalgia. //Pain Research & Management, 13//(3), 201-210. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671308/
Saha, F.J., Bruning, A., Barcelona, C., Bussing, A., Langhorst, J., Dobos, G., ... & Cramer, H. (2016). Integrative medicine for chronic pain a cohort study using a process-outcome design in the context of a department for internal and integrative medicine. //Medicine, 95//(27). https://doi.org/10.1097/MD.0000000000004152
Pinto-Gouveia, J., Costa, J., & Maroco, J. (2015). The first 2 years of rheumatoid arthritis: The influence of acceptance on pain, physical limitation and depression. //Journal of Health Psychology, 20//(1), 102-112. https://doi.org/10.1177/1359105313499807
Zgierska, A.E., Burzinski, C.A., Cox, J., Kloke, J., Stegner, A., Cook, D.B., ... & Backonja, M. (2016). Mindfulness meditation and cognitive behavioral therapy intervention reduces pain severity and sensitivity in opioid-treated chronic low back pain: Pilot findings from a randomized controlled trial. //Pain Medicine, 17//(10), 1865-1881. https://doi.org/10.1093/pm/pnw006
Smith, K.E., & Norman, G.J. (2017). Brief relaxation training is not sufficient to alter tolerance to experimental pain in novices. //PLOS ONE, 12//(5). https://doi.org/10.1371/journal.pone.0177228
Barry, D.T., Beitel, M., Cutter, C.J., Garnet, B., Joshi, D., Schottenfeld, R.S., ... & Rounsaville, B.J. (2009). Allopathic, complementary, and alternative medical treatment utilization for pain among methadone-maintained patients. //American Journal on Addictions, 18//(5), 379-385. https://doi.org/10.1080/10550490903077671
Howarth, A., Perkins-Porras, L., Smith, J.G., Subramaniam, J., Copland, C., Hurley, M., ... & Ussher, M. (2016). Pilot study evaluating a brief mindfulness intervention for those with chronic pain: Study protocol for a randomized controlled trial. //Trials, 17//. https://doi.org/10.1186/s13063-016-1405-2
Turner, J.A., Anderson, M.L., Balderson, B.H., Cook, A.J., Sherman, K.J., & Cherkin, D.C. (2016). Mindfulness-based stress reduction and cognitive behavioral therapy for chronic low back pain: Similar effects on mindfulness, catastrophizing, self-efficacy, and acceptance in a randomized controlled trial. //Pain, 157//(11), 2434-2444. https://doi.org/10.1097/j.pain.0000000000000635
Su, I.W., Wu, F.W., Liang, K.C., Cheng, K.Y., Hsieh, S.T., Sun, W.Z., ... & Chou, T.L. (2016). Pain Perception Can Be Modulated by Mindfulness Training: A Resting-State fMRI Study. //Frontiers in Human Neuroscience, 10//, 570. https://doi.org/10.3389/fnhum.2016.00570
Morone, N.E., Greco, C.M., Rollman, B.L., Moore, C.G., Lane, B., Morrow, L., ... & Weiner, D.K. (2012). The design and methods of the aging successfully with pain study. //Contemporary Clinical Trials, 33//(2), 417-425. https://doi.org/10.1016/j.cct.2011.11.012
Tul, Y., Unruh, A., & Dick, B.D. (2011). Yoga for chronic pain management: A qualitative exploration. //Scandinavian Journal of Caring Sciences, 25//(3), 435-443. https://doi.org/10.1111/j.1471-6712.2010.00842.x
Beaulac, J., & Bailly, M. (2015). Mindfulness-based stress reduction: Pilot study of a treatment group for patients with chronic pain in a primary care setting. //Primary Health Care Research and Development, 16//(4), 424-428. https://doi.org/10.1017/S1463423614000346
Grant, J.A., & Rainville, P. (2009). Pain sensitivity and analgesic effects of mindful states in zen meditators: A cross-sectional study. //Psychosomatic Medicine, 71//(1), 106-114. https://doi.org/10.1097/PSY.0b013e31818f52ee
Plews-Ogan, M., Owens, J.E., Goodman, M., Wolfe, P., & Schorling, J. (2005). Brief report: A pilot study evaluating mindfulness-based stress reduction and massage for the management of chronic pain. //Journal of General Internal Medicine, 20//(12), 1136-1138. https://doi.org/10.1111/j.1525-1497.2005.0247.x
Forsyth, L., & Hayes, L.L. (2014). The effects of acceptance of thoughts, mindful awareness of breathing, and spontaneous coping on an experimentally induced pain task. //Psychological Record, 64//(3), 447-455. https://doi.org/10.1007/s40732-014-0010-6
McCracken, L.M., & Zhao-O'Brien, J. (2010). General psychological acceptance and chronic pain: There is more to accept than the pain itself. //European Journal of Pain, 14//(2), 170-175. https://doi.org/10.1016/j.ejpain.2009.03.004
Brown, C.A., & Jones, A.K.P. (2010). Meditation experience predicts less negative appraisal of pain: Electrophysiological evidence for the involvement of anticipatory neural responses. //Pain, 150//(3), 428-438. https://doi.org/10.1016/j.pain.2010.04.017
Maurel, S., Rodero, B., Lopez-del-Hoyo, Y., Luciano, J.V., Andres, E., Roca, M., ... & Garcia-Campayo, J. (2011). Correlational analysis and predictive validity of psychological constructs related with pain in fibromyalgia. //BMC Musculoskeletal Disorders, 12//. https://doi.org/10.1186/1471-2474-12-4
Vowles, K.E., Johnson, L.E., Gertz, K.J., & Jensen, M.P. (2017). Development and preliminary testing of a screening measure of acceptance and willingness in relation to pain, fatigue, and sadness in chronic pain. //Clinical Journal of Pain, 33//(2), 160-165. https://doi.org/10.1097/AJP.0000000000000384
Cassidy, E.L., Atherton, R.J., Robertson, N., Walsh, D.A., & Gillett, R. (2012). Mindfulness, functioning and catastrophizing after multidisciplinary pain management for chronic low back pain. //Pain, 153//(3), 644-650. https://doi.org/10.1016/j.pain.2011.11.027
Yang, S.Y., McCracken, L.M., & Moss-Morris, R. (2017). Psychological treatment needs for chronic pain in Singapore and the relevance of the psychological flexibility model. //Pain Medicine, 18//(9), 1679-1694. https://doi.org/10.1093/pm/pnw175
Grant, J.A., Courtemanche, J., & Rainville, P. (2011). A non-elaborative mental stance and decoupling of executive and pain-related cortices predicts low pain sensitivity in zen meditators. //Pain, 152//(1), 150-156. https://doi.org/10.1016/j.pain.2010.10.006
Schutze, R., Slater, H., O'Sullivan, P., Thornton, J., Finlay-Jones, A., & Rees, C.S. (2014). Mindfulness-based functional therapy: A preliminary open trial of an integrated model of care for people with persistent low back pain. //Frontiers in Psychology, 5//, 839. https://doi.org/10.3389/fpsyg.2014.00839
Morone, N.E., Lynch, C.S., Greco, C.M., Tindle, H.A., & Weiner, D.K. (2008). I felt like a new person. the effects of mindfulness meditation on older adults with chronic pain: Qualitative narrative analysis of diary entries. //Journal of Pain, 9//(9), 841-848. https://doi.org/10.1016/j.jpain.2008.04.003
Bushnell, M.C., Case, L.K., Ceko, M., Cotton, V.A., Gracely, J.L., Low, L.A., ... & Villemure, C. (2015). Effect of environment on the long-term consequences of chronic pain. //Pain, 156//(4), S42-S49. https://doi.org/10.1097/01.j.pain.0000460347.77341.bd
McCracken, L.A., & Vowles, K.E. (2008). A prospective analysis of acceptance of pain and values-based action in patients with chronic pain. //Health Psychology, 27//(2), 215-220. https://doi.org/10.1037/0278-6133.27.2.215
McCracken, L.M., & Vowles, K.E. (2007). Psychological flexibility and traditional pain management strategies in relation to patient functioning with chronic pain: An examination of a revised instrument. //Journal of Pain, 8//(9), 700-707. https://doi.org/10.1016/j.jpain.2007.04.008
Bernini, O., Rivas, T., & Berrocal, C. (2014). The chronic pain acceptance questionnaire: Preliminary evidence for the predictive validity of patients' subgroups. //Journal of Evidence-based Psychotherapies, 14//(1), 3-20.
Lange, K., Gorbunova, A., & Christ, O. (2012). The influence of mindfulness on different aspects of pain perception and affective reactivity to pain - feasibility of a multimethodical approach. //Mindfulness, 3//(3), 209-217. https://doi.org/10.1007/s12671-012-0113-6
Taylor, V.A., Chang, L.K., Rainville, P., & Roy, M. (2017). Learned expectations and uncertainty facilitate pain during classical conditioning. //Pain, 158//(8), 1528-1537. https://doi.org/10.1097/j.pain.0000000000000948
McCracken, L.M., & Keogh, E. (2009). Acceptance, mindfulness, and values-based action may counteract fear and avoidance of emotions in chronic pain: An analysis of anxiety sensitivity. //Journal of Pain, 10//(4), 408-415. https://doi.org/10.1016/j.jpain.2008.09.015
Dahlke, L.A.M., Sable, J.J., & Andrasik, F. (2017). Behavioral therapy: Emotion and pain, a common anatomical background. //Neurological Sciences, 38//, S157-S161. https://doi.org/10.1007/s10072-017-2928-3
Evans, S., Moieni, M., Lung, K., Tsao, J., Sternlieb, B., Taylor, M., ... & Zeltzer, L. (2013). Impact of Iyengar yoga on quality of life in young women with rheumatoid arthritis. //Clinical Journal of Pain, 29//(11), 988-997.
Jones, M.I., & Parker, J.K. (2016). A conditional process model of the effect of mindfulness on 800-m personal best times through pain catastrophising. //Journal of Sports Sciences, 34//(12), 1132-1140. https://doi.org/10.1080/02640414.2015.1093648
Zeidan, F., Martucci, K.T., Kraft, R.A., Gordon, N.S., McHaffie, J.G., & Coghill, R.C. (2011). Brain mechanisms supporting the modulation of pain by mindfulness meditation. //Journal of Neuroscience, 31//(14), 5540-5548. https://doi.org/10.1523/JNEUROSCI.5791-10.2011
Hansen, K.E., Kesmodel, U.S., Kold, M., & Forman, A. (2017). Long-term effects of mindfulness-based psychological intervention for coping with pain in endometriosis: A six-year follow-up on a pilot study. //Nordic Psychology, 69//(2), 100-109. https://doi.org/10.1080/19012276.2016.1181562
Dresner, D., Barnett, K.G., Resnick, K., Laird, L.D., & Gardiner, P. (2016). Listening to their words: A qualitative analysis of integrative medicine group visits in an urban underserved medical setting. //Pain Medicine, 17//(6), 1183-1191. https://doi.org/10.1093/pm/pnw030
Ussher, M., Spatz, A., Copland, C., Nicolaou, A., Cargill, A., Amini-Tabrizi, N., ... & McCracken, L.M. (2014). Immediate effects of a brief mindfulness-based body scan on patients with chronic pain. //Journal of Behavioral Medicine, 37//(1), 127-134. https://doi.org/10.1007/s10865-012-9466-5
Zgierska, A.E., Burzinski, C.A., Cox, J., Kloke, J., Singles, J., Mirgain, S., ... & Backonja, M. (2016). Mindfulness meditation-based intervention is feasible, acceptable, and safe for chronic low back pain requiring long-term daily opioid therapy. //Journal of Alternative and Complementary Medicine, 22//(8), 610-620. https://doi.org/10.1089/acm.2015.0314
Zeidan, F., Gordon, N.S., Merchant, J., & Goolkasian, P. (2010). The effects of brief mindfulness meditation training on experimentally induced pain. //Journal of Pain, 11//(3), 199-209. https://doi.org/10.1016/j.jpain.2009.07.015
Trompetter, H.R., Bohlmeijer, E.T., Veehof, M.M., & Schreurs, K.M.G. (2015). Internet-based guided self-help intervention for chronic pain based on acceptance and commitment therapy: A randomized controlled trial. //Journal of Behavioral Medicine, 38//(1), 66-80. https://doi.org/10.1007/s10865-014-9579-0
Zautra, A.J., Davis, M.C., Reich, J.W., Tennen, H., Irwin, M.R., Nicassio, P., ... & Parrish, B. (2008). Comparison of cognitive behavioral and mindfulness meditation interventions on adaptation to rheumatoid arthritis for patients with and without history of recurrent depression. //Journal of Consulting and Clinical Psychology, 76//(3), 408-421. https://doi.org/10.1037/0022-006X.76.3.408
la Cour, P., & Petersen, M. (2015). Effects of mindfulness meditation on chronic pain: A randomized controlled trial. //Pain Medicine, 16//(4), 641-652. https://doi.org/10.1111/pme.12605
Day, M.A., Thorn, B.E., & Rubin, N.J. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain: A mixed-methods analysis comparing treatment responders and treatment non-responders. //Complementary Therapies in Medicine, 22//(2), 278-285. https://doi.org/10.1016/j.ctim.2013.12.018
Hassed, C. (2013). Mind-body therapies use in chronic pain management. //Australian Family Physician, 42//(3), 112-117. https://www.medscape.com/medline/abstract/23529519
Rodero, B., Pereira, J.P., Perez-Yus, M.C., Casanueva, B., Serrano-Blanco, A., Ribeiro, M.J.R.D., ... & Garcia-Campayo, J. (2013). Validation of a spanish version of the psychological inflexibility in pain scale (pips) and an evaluation of its relation with acceptance of pain and mindfulness in sample of persons with fibromyalgia. //Health and Quality of Life Outcomes, 11//. https://doi.org/10.1186/1477-7525-11-62
Chavooshi, B., Mohammadkhani, P., & Dolatshahi, B. (2016). A randomized double-blind controlled trial comparing davanloo intensive short-term dynamic psychotherapy as internet-delivered vs treatment as usual for medically unexplained pain: A 6-month pilot study. //Psychosomatics, 57//(3), 292-300.
https://doi.org/10.1016/j.psym.2016.01.001
Garland, E.L., Bryan, C.J., Finan, P.H., Thomas, E.A., Priddy, S.E., Riquino, M.R., ... & Howard, M.O. (2017). Pain, hedonic regulation, and opioid misuse: Modulation of momentary experience by mindfulness-oriented recovery enhancement in opioid-treated chronic pain patients. //Drug and Alcohol Dependence, 173//, S65-S72. https://doi.org/10.1016/j.drugalcdep.2016.07.033
Evans, D.R., Eisenlohr-Moul, T.A., Button, D.F., Baer, R.A., & Segerstrom, S.C. (2014). Self-regulatory deficits associated with unpracticed mindfulness strategies for coping with acute pain. //Journal of Applied Social Psychology, 44//(1), 23-30. https://doi.org/10.1111/jasp.12196
Donatone, B. (2013). Focused suggestion with somatic anchoring technique: Rapid self-hypnosis for pain management. //American Journal of Clinical Hypnosis, 55//(4), 325-342. https://doi.org/10.1080/00029157.2012.688896
Martin, S., Wolters, P.L., Toledo-Tamula, M.A., Schmitt, S.N., Baldwin, A., Starosta, A., ... & Widemann, B. (2016). Acceptance and commitment therapy in youth with neurofibromatosis type 1 (nf1) and chronic pain and their parents: A pilot study of feasibility and preliminary efficacy. //American Journal of Medical Genetics Part a, 170//(6), 1462-1470. https://doi.org/10.1002/ajmg.a.37623
Doran, N.J. (2014). Experiencing wellness within illness: Exploring a mindfulness-based approach to chronic back pain. //Qualitative Health Research, 24//(6), 749-760. https://doi.org/10.1177/1049732314529662
McCracken, L.M., Vowles, K.E., & Eccleston, C. (2005). Acceptance-based treatment for persons with complex, long standing chronic pain: A preliminary analysis of treatment outcome in comparison to a waiting phase. //Behaviour Research and Therapy, 43//(10), 1335-1346. https://doi.org/10.1016/j.brat.2004.10.003
Grant, J.A. (2014). Meditative analgesia: The current state of the field. Advances in meditation research: //Neuroscience and clinical applications, 1307//, 55-63. https://doi.org/10.1111/nyas.12282
Gardner-Nix, J., Backmant, S., Barbati, J., & Grummitt, J. (2008). Evaluating distance education of a mindfulness-based meditation programme for chronic pain management. //Journal of Telemedicine and Telecare, 14//(2), 88-92. https://doi.org/10.1258/jtt.2007.070811
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Turner, J.A., Cook, A.J., Stoelb, B., ... & Hawkes, R.J. (2014). Comparison of complementary and alternative medicine with conventional mind–body therapies for chronic back pain: protocol for the Mind–body Approaches to Pain (MAP) randomized controlled trial. //Trials, 15//211. https://doi.org/10.1186/1745-6215-15-211
Pelletier, R., Higgins, J., & Bourbonnais, D. (2015). Addressing neuroplastic changes in distributed areas of the nervous system associated with chronic musculoskeletal disorders. //Physical Therapy, 95//(11). https://doi.org/10.2522/ptj.20140575
Henriksson, J., Wasara, E., & Ronnlund, M. (2016). Effects of eight-week-web-based mindfulness training on pain intensity, pain acceptance, and life satisfaction in individuals with chronic pain. //Psychological Reports, 119//(3), 586-607. https://doi.org/10.1177/0033294116675086
Shadick, N.A., Sowell, N.F., Frits, M.L., Hoffman, S.M., Hartz, S.A., Booth, F.D., ... & Schwartz, R.C. (2013). A randomized controlled trial of an internal family systems-based psychotherapeutic intervention on outcomes in rheumatoid arthritis: A proof-of-concept study. //Journal of Rheumatology, 40//(11), 1831-1841. https://doi.org/10.3899/jrheum.121465
Gard, T., Holzel, B.K., Sack, A.T., Hempel, H., Lazar, S.W., Vaitl, D., ... & Ott, U. (2012). Pain attenuation through mindfulness is associated with decreased cognitive control and increased sensory processing in the brain. //Cerebral Cortex, 22//(11), 2692-2702. https://doi.org/10.1093/cercor/bhr352
Mathias, B., Parry-Jones, B., & Huws, J.C. (2014). Individual experiences of an acceptance-based pain management programme: An interpretative phenomenological analysis. //Psychology & Health, 29//(3), 279-296. https://doi.org/10.1080/08870446.2013.845667
Buhrman, M., Skoglund, A., Husell, J., Bergstrom, K., Gordh, T., Hursti, T., ... & Andersson, G. (2013). Guided internet-delivered acceptance and commitment therapy for chronic pain patients: A randomized controlled trial. //Behaviour Research and Therapy, 51//(6), 307-315. https://doi.org/10.1016/j.brat.2013.02.010
Zangi, H.A., & Haugli, L. (2017). Vitality training-a mindfulness- and acceptance-based intervention for chronic pain. //Patient Education and Counseling, 100//(11), 2095-2097. https://doi.org/10.1016/j.pec.2017.05.032
Sharpe, L., Perry, K.N., Rogers, P., Dear, B.F., Nicholas, M.K., & Refshauge, K. (2010). A comparison of the effect of attention training and relaxation on responses to pain. //Pain, 150//(3), 469-476. https://doi.org/10.1016/j.pain.2010.05.027
Chadi, N., McMahon, A., Vadnais, M., Malboeuf-Hurtubise, C., Djemli, A., Dobkin, P.L., ... & Haley, N. (2016). Mindfulness-based intervention for female adolescents with chronic pain: A pilot randomized trial. //Journal of the Canadian Academy of Child and Adolescent Psychiatry, 25//(3), 159-168. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130089/
de Jong, M., Lazar, S.W., Hug, K., Mehling, W.E., Holzel, B.K., Sack, A.T., ... & Gard, T. (2016). Effects of mindfulness-based cognitive therapy on body awareness in patients with chronic pain and comorbid depression. //Frontiers in Psychology, 7//, 967. https://doi.org/10.3389/fpsyg.2016.00967
Zeidan, F., & Vago, D.R. (2016). Mindfulness meditation-based pain relief: A mechanistic account. //Special Issue: Advances in Meditation Research, 1373//, 114-127. https://doi.org/10.1111/nyas.13153
Cusens, B., Duggan, G.B., Thorne, K., & Burch, V. (2010). Evaluation of the breathworks mindfulness-based pain management programme: Effects on well-being and multiple measures of mindfulness. //Clinical Psychology & Psychotherapy, 17//(1), 63-78. https://doi.org/10.1002/cpp.653
Chen, L.M., Miaskowski, C., Dodd, M., & Pantilat, S. (2008). Concepts within the Chinese culture that influence the cancer pain experience. //Cancer Nursing, 31//(2), 103-108. https://doi.org/10.1097/01.NCC.0000305702.07035.4d
Day, M.A., Halpin, J., & Thorn, B.E. (2016). An empirical examination of the role of common factors of therapy during a mindfulness-based cognitive therapy intervention for headache pain. //Clinical Journal of Pain, 32//(5), 420-427. https://doi.org/10.1097/AJP.0000000000000277
Day, M.A., Jensen, M.P., Ehde, D.M., & Thorn, B.E. (2014). Toward a theoretical model for mindfulness-based pain management. //Journal of Pain, 15//(7), 691-703. https://doi.org/10.1016/j.jpain.2014.03.003
Weinrib, A.Z., Burns, L.C., Mu, A., Azam, M.A., Ladak, S.S.J., McRae, K., ... & Clarke, H. (2017). A case report on the treatment of complex chronic pain and opioid dependence by a multidisciplinary transitional pain service using the ACT Matrix and buprenorphine/naloxone. //Journal of Pain research, 10//, 747-755. https://doi.org/10.2147/JPR.S124566
Mano, K.E.J., Salamon, K.S., Hainsworth, K.R., Khan, K.J.A., Ladwig, R.J., Davies, W.H., ... & Weisman, S.J. (2013). A randomized, controlled pilot study of mindfulness-based stress reduction for pediatric chronic pain. //Alternative Therapies in Health and Medicine, 19//(6), 8-14. https://www.medscape.com/medline/abstract/24254033
Williams, H., Silva, S., Simmons, L.A., & Tanabe, P. (2017). A telephonic mindfulness-based intervention for persons with sickle cell disease: Study protocol for a randomized controlled trial. //Trials, 18//218. https://doi.org/10.1186/s13063-017-1948-x
Schmidt, S., Gmeiner, S., Schultz, C., Lower, M., Kuhn, K., Naranjo, J.R., ... & Hinterberger, T. (2015). Mindfulness-based stress reduction (mbsr) as treatment for chronic back pain - an observational study with assessment of thalamocortical dysrhythmia. //Forschende Komplementarmedizin, 22//(5), 298-303. https://doi.org/10.1159/000440687
Beales, D., Lutz, A., Thompson, J., Wand, B.M., & O'Sullivan, P. (2016). Disturbed body perception, reduced sleep, and kinesiophobia in subjects with pregnancy-related persistent lumbopelvic pain and moderate levels of disability: An exploratory study. //Manual Therapy, 21//, 69-75. https://doi.org/10.1016/j.math.2015.04.016
Hearn, J.H., Cotter, I., Fine, P., & Finlay, K.A. (2015). Living with chronic neuropathic pain after spinal cord injury: An interpretative phenomenological analysis of community experience. //Disability and Rehabilitation, 37//(23). https://doi.org/10.3109/09638288.2014.1002579
McCracken, L.M., & Velleman, S.C. (2010). Psychological flexibility in adults with chronic pain: A study of acceptance, mindfulness, and values-based action in primary care. //Pain, 148//(1), 141-147. https://doi.org/10.1016/j.pain.2009.10.034
Morone, N.E., Greco, C.M., & Weiner, D.K. (2008). Mindfulness meditation for the treatment of chronic low back pain in older adults: A randomized controlled pilot study. //Pain, 134//(3), 310-319. https://doi.org/10.1016/j.pain.2007.04.038
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Cook, A.J., Anderson, M.L., Hawkes, R.J., ... & Turner, J.A. (2016). Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain a randomized clinical trial. //JAMA: Journal of the American Medical Association, 315//(12), 1240-1249. https://doi.org/10.1001/jama.2016.2323
Ardito, R.B., Pirro, P.S., Re, T.S., Bonapace, I., Menardo, V., Bruno, E., ... & Gianotti, L. (2017). Mindfulness-based stress reduction program on chronic low-back pain: A study investigating the impact on endocrine, physical, and psychologic functioning. //Journal of Alternative and Complementary Medicine, 23//(8), 615-623. https://doi.org/10.1089/acm.2016.0423
Thomas, E.A., & Garland, E.L. (2017). Mindfulness is associated with increased hedonic capacity among chronic pain patients receiving extended opioid pharmacotherapy. //Clinical Journal of Pain, 33//(2), 166-173. https://doi.org/10.1097/AJP.0000000000000379
George, M.C., Wongmek, A., Kaku, M., Nmashie, A., & Robinson-Papp, J. (2017). A mixed-methods pilot study of mindfulness-based stress reduction for hiv-associated chronic pain. //Behavioral Medicine, 43//(2), 108-119. https://doi.org/10.1080/08964289.2015.1107525
Moore, K.M., & Martin, M.E. (2015). Using mbct in a chronic pain setting: A qualitative analysis of participants' experiences. //Mindfulness, 6//(5),1129–1136. https://doi.org/10.1007/s12671-014-0363-6
Costa, J., & Pinto-Gouveia, J. (2011). Acceptance of pain, self-compassion and psychopathology: Using the chronic pain acceptance questionnaire to identify patients' subgroups. //Clinical Psychology & Psychotherapy, 18//(4), 292-302. https://doi.org/10.1002/cpp.718
Trompetter, H.R., Bohlmeijer, E.T., van Baalen, B., Kleen, M., Koke, A., Reneman, M., ... & Schreurs, K.M.G. (2014). The psychological inflexibility in pain scale (pips) exploration of psychometric properties in a heterogeneous chronic pain sample. //European Journal of Psychological Assessment, 30//(4), 289-295. https://doi.org/10.1027/1015-5759/a000191
Panta, P. (2017). The possible role of meditation in myofascial pain syndrome: A new hypothesis. //Indian Journal of Palliative Care, 23//(2), 180-187. https://doi.org/10.4103/0973-1075.204239
Garland, E.L., Manusov, E.G., Froeliger, B., Kelly, A., Williams, J.M., & Howard, M.O. (2014). Mindfulness-oriented recovery enhancement for chronic pain and prescription opioid misuse: Results from an early-stage randomized controlled trial. //Journal of Consulting and Clinical Psychology, 82//(3), 448-459. https://doi.org/10.1037/a0035798
McCracken, L.M., Gauntlett-Gilbert, J., & Vowles, K.E. (2007). The role of mindfulness in a contextual cognitive-behavioral analysis of chronic pain-related suffering and disability. //Pain, 131//(42737), 63-69. https://doi.org/10.1016/j.pain.2006.12.013
McCracken, L.M., & Gutierrez-Martinez, O. (2011). Processes of change in psychological flexibility in an interdisciplinary group-based treatment for chronic pain based on acceptance and commitment therapy. //Behaviour Research and Therapy, 49//(4), 267-274. https://doi.org/10.1016/j.brat.2011.02.004
Sharpe, L., Perry, K.N., Rogers, P., Refshauge, K., & Nicholas, M.K. (2013). A comparison of the effect of mindfulness and relaxation on responses to acute experimental pain. //European Journal of Pain, 17//(5), 742-752. https://doi.org/10.1002/j.1532-2149.2012.00241.x
Lee, A.C., Harvey, W.F., Price, L.L., Morgan, L.P.K., Morgan, N.L., & Wang, C. (2017). Mindfulness is associated with psychological health and moderates pain in knee osteoarthritis. //Osteoarthritis and Cartilage, 25//(6), 824-831. https://doi.org/10.1016/j.joca.2016.06.017
Kingston, J., Chadwick, P., Meron, D., & Skinner, T.C. (2007). A pilot randomized control trial investigating the effect of mindfulness practice on pain tolerance, psychological well-being, and physiological activity. //Journal of Psychosomatic Research, 62//(3), 297-300. https://doi.org/10.1016/j.jpsychores.2006.10.007
Wetherell, J.L., Afari, N., Rutledge, T., Sorrell, J.T., Stoddard, J.A., Petkus, A.J., ... & Atkinson, J.H. (2011). A randomized, controlled trial of acceptance and commitment therapy and cognitive-behavioral therapy for chronic pain. //Pain, 152//(9), 2098-2107. https://doi.org/10.1016/j.pain.2011.05.016
McCracken, L.M., DaSilva, P., Skillicorn, B., & Doherty, R. (2014). The cognitive fusion questionnaire a preliminary study of psychometric properties and prediction of functioning in chronic pain. //Clinical Journal of Pain, 30//(10), 894-901. https://doi.org/10.1097/AJP.0000000000000047
Alonso, M.A., Lopez, A., Losada, A., & Gonzalez, J.L. (2013). Acceptance and commitment therapy and selective optimization with compensation for older people with chronic pain: A pilot study. //Behavioral Psychology-psicologia Conductual, 21//(1), 59-79. https://doi.org/10.1111/pme.12885
Jimenez-Torres, G.J., Weinstein, B.L., Walker, C.R., Fowler, J.C., Ashford, P., Borckardt, J.J., ... & Madan, A. (2017). A study protocol for a single-blind, randomized controlled trial of adjunctive transcranial direct current stimulation (tDCS) for chronic pain among patients receiving specialized, inpatient multimodal pain management. //Contemporary Clinical Trials, 54//, 36-47. https://doi.org/10.1016/j.cct.2016.12.024
Basson, R., Driscoll, M., & Correia, S. (2016). When sex is always painful: Provoked vestibulodynia. //British Columbia Medical Journal, 58//(2), 77-81. https://www.bcmj.org/articles/when-sex-always-painful-provoked-vestibulodynia
~~~~Zampi, D.D. (2016). Efficacy of theta binaural beats for the treatment of chronic pain. //Alternative Therapies in Health and Medicine, 22//(1).
LeBlanc, B.W., Lii, T.R., Silverman, A.E., Alleyne, R.T., & Saab, C.Y. (2014). Cortical theta is increased while thalamocortical coherence is decreased in rat models of acute and chronic pain. //Pain, 155//(4), 773-782. https://doi.org/10.1016/j.pain.2014.01.013
Bjornsdottir, S.V., Arnljotsdottir, M., Tomasson, G., Triebel, J., & Valdimarsdottir, U.A. (2016). Health-related quality of life improvements among women with chronic pain: Comparison of two multidisciplinary interventions. //Disability and Rehabilitation, 38//(9), 828-836. https://doi.org/10.3109/09638288.2015.1061609
d'Alcala, C.R., Webster, D.G., & Esteves, J.E. (2015). Interoception, body awareness and chronic pain: Results from a case-control study. //International Journal of Osteopathic Medicine, 18//(1), 22-32. https://doi.org/10.1016/j.ijosm.2014.08.003
Waelde, L.C., Feinstein, A.B., Bhandari, R., Griffin, A., Yoon, I.A., & Golianu, B. (2017). A pilot study of mindfulness meditation for pediatric chronic pain. //Children-basel, 4//(5). https://doi.org/10.3390/children4050032
Day, M.A., Thorn, B.E., Ward, L.C., Rubin, N., Hickman, S.D., Scogin, F., ... & Kilgo, G.R. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain a pilot study. //Clinical Journal of Pain, 30//(2), 152-161. https://doi.org/10.1097/AJP.0b013e318287a1dc
Miller-Matero, L.R., & Cano, A. (2015). Encouraging couples to change: A motivational assessment to promote well-being in people with chronic pain and their partners. //Pain Medicine, 16//(2), 348-355. https://doi.org/10.1111/pme.12600
Liu, X.H., Wang, S.S., Chang, S.C., Chen, W.J., & Si, M. (2013). Effect of brief mindfulness intervention on tolerance and distress of pain induced by cold-pressor task. //Stress and Health, 29//(3), 199-204. https://doi.org/10.1002/smi.2446
Sooksawat, A., Janwantanakul, P., Tencomnao, T., & Pensri, P. (2013). Are religious beliefs and practices of Buddhism associated with disability and salivary cortisol in office workers with chronic low back pain?. //BMC Musculoskeletal Disorders, 14//. https://doi.org/10.1186/1471-2474-14-29
Grant, J.A., Courtemanche, J., Duerden, E.G., Duncan, G.H., & Rainville, P. (2010). Cortical thickness and pain sensitivity in zen meditators. //Emotion, 10//(1), 43-53. https://doi.org/10.1037/a0018334
Bruckenthal, P. (2010). Integrating nonpharmacologic and alternative strategies into a comprehensive management approach for older adults with pain. //Pain Management Nursing, 11//(2), S23-S31. https://doi.org/10.1016/j.pmn.2010.03.004
Fenton, G., & Morley, S. (2013). A tale of two RCTS: Using randomized controlled trials to benchmark routine clinical (psychological) treatments for chronic pain. //Pain, 154//(10), 2108-2119. https://doi.org/10.1016/j.pain.2013.06.033
McCracken, L.M., Williams, J.L., & Tang, N.K.Y. (2011). Psychological flexibility may reduce insomnia in persons with chronic pain: A preliminary retrospective study. //Pain Medicine, 12//(6), 904-912. https://doi.org/10.1111/j.1526-4637.2011.01115.x
McCracken, L.M., Gutierrez-Martinez, O., & Smyth, C. (2013). Decentering reflects psychological flexibility in people with chronic pain and correlates with their quality of functioning. //Health Psychology, 32//(7), 820-823. https://doi.org/10.1037/a0028093
Peters, M.L., Smeets, E., Feijge, M., van Breukelen, G., Andersson, G., Buhrman, M., ... & Linton, S.J. (2017). Happy despite pain a randomized controlled trial of an 8-week internet-delivered positive psychology intervention for enhancing well-being in patients with chronic pain. //Clinical Journal of Pain, 33//(11), 962-975. https://doi.org/10.1097/AJP.0000000000000494
Trompetter, H.R., ten Klooster, P.M., Schreurs, K.M.G., Fledderus, M., Westerhof, G.J., & Bohlmeijer, E.T. (2013). Measuring values and committed action with the engaged living scale (els): Psychometric evaluation in a nonclinical sample and a chronic pain sample. //Psychological Assessment, 25//(4), 1235-1246. https://doi.org/10.1037/a0033813
Garland, E.L., Thomas, E., & Howard, M.O. (2014). Mindfulness-oriented recovery enhancement ameliorates the impact of pain on self-reported psychological and physical function among opioid-using chronic pain patients. //Journal of Pain and symptom management, 48//(6), 1091-1099. https://doi.org/10.1016/j.jpainsymman.2014.03.006
Goodin, B.R., Quinn, N.B., Kronfli, T., King, C.D., Page, G.G., Haythornthwaite, J.A., ... & McGuire, L. (2012). Experimental pain ratings and reactivity of cortisol and soluble tumor necrosis factor-alpha receptor ii following a trial of hypnosis: Results of a randomized controlled pilot study. //Pain Medicine, 13//(1), 29-44. https://doi.org/10.1111/j.1526-4637.2011.01293.x
Del Rosso, A., & Maddali-Bongi, S. (2016). Mind body therapies in rehabilitation of patients with rheumatic diseases. //Complementary Therapies in Clinical Practice, 22//, 80-86. https://doi.org/10.1016/j.ctcp.2015.12.005
Morone, N.E., Rollman, B.L., Moore, C.G., Qin, L., & Weiner, D.K. (2009). A mind-body program for older adults with chronic low back pain: Results of a pilot study. //Pain Medicine, 10//(8), 1395-1407. https://doi.org/10.1111/j.1526-4637.2009.00746.x
Merrill, R.L., & Goodman, D. (2016). Chronic orofacial pain and behavioral medicine. //Oral and Maxillofacial Surgery Clinics of North America, 28//(3), 247-260. https://doi.org/10.1016/j.coms.2016.03.007
Vowles, K.E., & McCracken, L.M. (2010). Comparing the role of psychological flexibility and traditional pain management coping strategies in chronic pain treatment outcomes. //Behaviour Research and Therapy, 48//(2), 141-146. https://doi.org/10.1016/j.brat.2009.09.011
Qaseem, A., Wilt, T.J., McLean, R.M., & Forciea, M.A. (2017). Noninvasive treatments for acute, subacute, and chronic low back pain: A clinical practice guideline from the american college of physicians. //Annals of Internal Medicine, 166//(7), 514-U142. https://doi.org/10.7326/M16-2367
Nes, A.A.G., van Dulmen, S., Wicksell, R., Fors, E.A., & Eide, H. (2017). Analyzing change processes resulting from a smartphone maintenance intervention based on acceptance and commitment therapy for women with chronic widespread pain. //International Journal of Behavioral Medicine, 24//(2), 215-229. https://doi.org/10.1007/s12529-016-9590-7
Norelli, L.J., & Harju, S.K. (2008). Behavioral approaches to pain management in the elderly. //Clinics in Geriatric Medicine, 24//(2), 335–344. https://doi.org/10.1016/j.cger.2007.12.010
Hearn, J.H., Finlay, K.A., & Fine, P.A. (2016). The devil in the corner: A mixed-methods study of metaphor use by those with spinal cord injury-specific neuropathic pain. //British Journal of Health Psychology, 21//(4), 973-988. https://doi.org/10.1111/bjhp.12211
Barrett, K., & Chang, Y.P. (2016). Behavioral interventions targeting chronic pain, depression, and substance use disorder in primary care. //Journal of Nursing Scholarship, 48//(4), 345-353. https://doi.org/10.1111/jnu.12213
McCracken, L.M., Vowles, K.E., & Zhao-O'Brien, J. (2010). Further development of an instrument to assess psychological flexibility in people with chronic pain. //Journal of Behavioral Medicine, 33//(5), 346-354. https://doi.org/10.1007/s10865-010-9264-x
Bonakdar, R.A. (2017). Integrative pain management. //Medical Clinics of North America, 101//(5), 987-1004. https://doi.org/10.1016/j.mcna.2017.04.012
Goyal, M., Haythornthwaite, J., Levine, D., Becker, D., Vaidya, D., Hill-Briggs, F., ... & Ford, D. (2010). Intensive meditation for refractory pain and symptoms. //Journal of Alternative and Complementary Medicine, 16//(6), 627-631. https://doi.org/10.1089/acm.2009.0372
Werner, A., Uldbjerg, N., Zachariae, R., Rosen, G., & Nohr, E.A. (2013). Self-hypnosis for coping with labour pain: A randomised controlled trial. //Bjog-an International Journal of Obstetrics and Gynaecology, 120//(3), 346-353. https://doi.org/10.1111/1471-0528.12087
Johannsen, M., O'Toole, M.S., O'Connor, M., Jensen, A.B., & Zachariae, R. (2017). Clinical and psychological moderators of the effect of mindfulness-based cognitive therapy on persistent pain in women treated for primary breast cancer – explorative analyses from a randomized controlled trial. //Acta Oncologica, 56//(2), 321-328. https://doi.org/10.1080/0284186X.2016.1268713
Garland, E.L., Gaylord, S.A., Palsson, O., Faurot, K., Mann, J.D., & Whitehead, W.E. (2012). Therapeutic mechanisms of a mindfulness-based treatment for ibs: Effects on visceral sensitivity, catastrophizing, and affective processing of pain sensations. //Journal of Behavioral Medicine, 35//(6), 591-602. https://doi.org/10.1007/s10865-011-9391-z
Peilot, B., Andrell, P., Samuelsson, A., Mannheimer, C., Frodi, A., & Sundler, A.J. (2014). Time to gain trust and change-experiences of attachment and mindfulness-based cognitive therapy among patients with chronic pain and psychiatric co-morbidity. //International Journal of Qualitative Studies on Health and Well-being, 9//. https://doi.org/10.3402/qhw.v9.24420
Fox, S.D., Flynn, E., & Allen, R.H. (2011). Mindfulness meditation for women with chronic pelvic pain a pilot study. //Journal of Reproductive Medicine, 56//(42798), 158-162. https://clinicaltrials.gov/ct2/show/NCT02721108
Johnston, M., Foster, M., Shennan, J., Starkey, N.J., & Johnson, A. (2010). The effectiveness of an acceptance and commitment therapy self-help intervention for chronic pain. //Clinical Journal of Pain, 26//(5), 393-402. https://doi.org/10.1097/AJP.0b013e3181cf59ce
~~~~Bongi, S.M., Del Rosso, A., Di Felice, C., Cala, M., & Dal Ben, G.G. (2012). Resseguier method and qi gong sequentially integrated in patients with fibromyalgia syndrome. //Clinical and Experimental Rheumatology, 30//(6), S51-S58.
Vowles, K.E., Sowden, G., & Ashworth, J. (2014). A comprehensive examination of the model underlying acceptance and commitment therapy for chronic pain. //Behavior Therapy, 45//(3), 390-401. https://doi.org/10.1016/j.beth.2013.12.009
McCracken, L.M., & Jones, R. (2012). Treatment for Chronic Pain for Adults in the Seventh and Eighth Decades of Life: A Preliminary Study of Acceptance and Commitment Therapy (ACT). //Pain Medicine, 13//(7), 861-867. https://doi.org/10.1111/j.1526-4637.2012.01407.x
Elomaa, M.M., Williams, A.C.D., & Kalso, E.A. (2009). Attention management as a treatment for chronic pain. //European Journal of Pain, 13//(10), 1062-1067. https://doi.org/10.1016/j.ejpain.2008.12.002
Michalsen, A., Kunz, N., Jeitler, M., Brunnhuber, S., Meier, L., Ludtke, R., ... & Kessler, C. (2016). Effectiveness of focused meditation for patients with chronic low back pain-a randomized controlled clinical trial. //Complementary Therapies in Medicine, 26//, 79-84. https://doi.org/10.1016/j.ctim.2016.03.010
Boersma, K., Ljotsson, B., Edebol-Carlman, H., Schrooten, M., Linton, S.J., & Brummer, R.J. (2016). Exposure-based cognitive behavioral therapy for irritable bowel syndrome. a single-case experimental design across 13 subjects. //Cognitive Behaviour Therapy, 45//(6), 415-430. https://doi.org/10.1080/16506073.2016.1194455
Vowles, K.E., & McCracken, L.M. (2008). Acceptance and values-based action in chronic pain: A study of treatment effectiveness and process. //Journal of Consulting and Clinical Psychology, 76//(3), 397-407. https://doi.org/10.1037/0022-006X.76.3.397
Costa, J., & Pinto-Gouveia, J. (2013). Experiential avoidance and self-compassion in chronic pain. //Journal of Applied Social Psychology, 43//(8), 1578-1591. https://doi.org/10.1111/jasp.12107
Bluth, K., Gaylord, S., Nguyen, K., Bunevicius, A., & Girdler, S. (2015). Mindfulness-based stress reduction as a promising intervention for amelioration of premenstrual dysphoric disorder symptoms. //Mindfulness, 6//(6), 1292–1302. https://doi.org/10.1007/s12671-015-0397-4
Teets, R.Y., Dahmer, S., & Scott, E. (2010). Integrative medicine approach to chronic pain. //Primary Care, 37//(2), 407-+. https://doi.org/10.1016/j.pop.2010.02.001
Cheng, F.K. (2017). //Cancer-induced bone pain management through Buddhist beliefs. //Journal of Religion & Health, 56//(6), 2251-2266. https://doi.org/10.1007/s10943-017-0401-5
Cho, S.K., Heiby, E.M., McCracken, L.M., Lee, S.M., & Moons, D.E. (2010). //Pain-related anxiety as a mediator of the effects of mindfulness on physical and psychosocial functioning in chronic pain patients in korea. //Journal of Pain, 11//(8), 789-797. https://doi.org/10.1016/j.jpain.2009.12.006
Singh, B.B., Berman, B.M., Hadhazy, V.A., & Creamer, P. (1998). A pilot study of cognitive behavioral therapy in fibromyalgia. //Alternative Therapies in Health and Medicine, 4//(2), 67-70. https://www.researchgate.net/publication/13601675_Pilot_study_of_cognitive_behavioral_therapy_in_fibromyalgia
Wetherell, J.L., Petkus, A.J., Alonso-Fernandez, M., Bower, E.S., Steiner, A.R.W., & Afari, N. (2016). Age moderates response to acceptance and commitment therapy vs. cognitive behavioral therapy for chronic pain. //International Journal of Geriatric Psychiatry, 31//(3), 302-308. https://doi.org/10.1002/gps.4330
[img[tps52.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kane, A.A. (2010). Unlocking knowledge transfer potential: Knowledge demonstrability and superordinate social identity. //Organization Science, 21//(3), 643-660. https://doi.org/10.1287/orsc.1090.0469
Malouf, E.T., Youman, K., Stuewig, J., Witt, E.A., & Tangney, J.P. (2017). A pilot RCT of a values-based mindfulness group intervention with jail inmates: Evidence for reduction in post-release risk behavior. //Mindfulness, 8//(3), 603-614. https://doi.org/10.1007/s12671-016-0636-3
Koveshnikov, A., Vaara, E., & Ehrnrooth, M. (2016). Stereotype-based managerial identity work in multinational corporations. //Organization Studies, 37//(9), 1353-1379. https://doi.org/10.1177/0170840616634129
Taber, B.J., & Blankemeyer, M.S. (2015). Time perspective and vocational identity statuses of emerging adults. //Career Development Quarterly, 63//(2), 113-125. https://doi.org/10.1002/cdq.12008
Long, E.C., & Christian, M.S. (2015). Mindfulness buffers retaliatory responses to injustice: A regulatory approach. //Journal of Applied Psychology, 100//(5), 1409-1422. https://doi.org/10.1037/apl0000019
Grills, C., Villanueva, S., Anderson, M., Corsbie-Massay, C.L., Smith, B., Johnson, L., ... & Owens, K. (2015). Effectiveness of choice theory connections: A cross-sectional and comparative analysis of california female inmates. //International Journal of Offender Therapy and Comparative Criminology, 59//(7), 757-771. https://doi.org/10.1177/0306624X13520129
Banerjee, R., & Pal, S.K. (2015). Z*-numbers: Augmented z-numbers for machine-subjectivity representation. //Information Sciences, 323//, 143-178. https://doi.org/10.1016/j.ins.2015.06.026
Yang, C.C., Holden, S.M., & Carter, M.D.K. (2017). Emerging adults' social media self-presentation and identity development at college transition: Mindfulness as a moderator. //Journal of Applied Developmental Psychology, 52//, 212-221. https://doi.org/10.1016/j.appdev.2017.08.006
Ronel, N., Frid, N., & Timor, U. (2013). The practice of positive criminology: A Vipassana course in prison. //International Journal of Offender Therapy and Comparative Criminology, 57//(2), 133-153. https://doi.org/10.1177/0306624X11427664
Sullivan, M.J., Wood, L., Terry, J., Brantley, J., Charles, A., Mcgee, V., ... & Cuffe, M.S. (2009). The support, education, and research in chronic heart failure study (SEARCH): A mindfulness-based psychoeducational intervention improves depression and clinical symptoms in patients with chronic heart failure. //American Heart Journal, 157//(1), 84-90. https://doi.org/10.1016/j.ahj.2008.08.033
Speier, C., Whipple, J.M., Closs, D.J., & Voss, M.D. (2011). Global supply chain design considerations: Mitigating product safety and security risks. //Journal of Operations Management, 29//(42924), 721-736. https://doi.org/10.1016/j.jom.2011.06.003
Arrigo, B.A. (2013). Managing risk and marginalizing identities: On the society-of-captives thesis and the harm of social dis-ease. //International Journal of Offender Therapy and Comparative Criminology, 57//(6), 672-693. https://doi.org/10.1177/0306624X13480634
Kelley, T.M., & Lambert, E.G. (2012). Mindfulness as a potential means of attenuating anger and aggression for prospective criminal justice professionals. //Mindfulness, 3//(4), 261-274. https://doi.org/10.1007/s12671-012-0090-9
Gendron, B. (2017). Emotional capital: The set of emotional competencies as professional and vocational skills in emotional works and jobs. //Revista Espanola De Educacion Comparada, NA//(29), 44-61. https://doi.org/10.5944/reec.29.2017.17433
Xu, W., Jia, K., Liu, X.H., & Hofmann, S.G. (2016). The effects of mindfulness training on emotional health in Chinese long-term male prison inmates. //Mindfulness, 7//(5), 1044-1051. https://doi.org/10.1007/s12671-016-0540-x
Tangney, J.P., Dobbins, A.E., Stuewig, J.B., & Schrader, S.W. (2017). Is there a dark side to mindfulness? Relation of mindfulness to criminogenic cognitions. //Personality and Social Psychology Bulletin, 43//(10), 1415-1426. https://doi.org/10.1177/0146167217717243
Simon, C., & Mosavel, M. (2011). Getting personal: Ethics and identity in global health research. //Developing World Bioethics, 11//(2), 82-92. https://doi.org/10.1111/j.1471-8847.2011.00297.x
Nel, N., Nel, J.A., Adams, B.G., & de Beer, L.T. (2015). Assessing cultural intelligence, personality and identity amongst young white Afrikaans-speaking students: A preliminary study. //SA Journal of Human Resource Management, 13//(1). https://doi.org/10.4102/sajhrm.v13i1.643
Garcia, M., Kosutic, I., & McDowell, T. (2015). Peace on earth/war at home: The role of emotion regulation in social justice work. //Journal of Feminist Family Therapy, 27//(1), 1-20. https://doi.org/10.1080/08952833.2015.1005945
Garran, A.M., Aymer, S., Gelman, C.R., & Miller, J.L. (2015). Team-teaching anti-oppression with diverse faculty: Challenges and opportunities. //Social Work education, 34//(7), 799-814. https://doi.org/10.1080/02615479.2015.1062086
Berila, B. (2016). Mindfulness as a healing, liberatory practice in queer anti-oppression pedagogy. //Social Alternatives, 35//(3), 5-10. https://search.informit.com.au/documentSummary;dn=617606909549894;res=IELLCC
Allen, R.S., Harris, G.M., Crowther, M.R., Oliver, J.S., Cavanaugh, R., & Phillips, L.L. (2013). Does religiousness and spirituality moderate the relations between physical and mental health among aging prisoners?. //International Journal of Geriatric Psychiatry, 28//(7), 710-717. https://doi.org/10.1002/gps.3874
Lyons, T., & Cantrell, W.D. (2016). Prison meditation movements and mass incarceration. //International Journal of Offender Therapy and Comparative Criminology, 60//(12), 1363-1375. https://doi.org/10.1177/0306624X15583807
Leung, J., Cheung, W.M., & Chu, S.C. (2014). Aligning RFID applications with supply chain strategies. //Information & Management, 51//(2), 260-269. https://doi.org/10.1016/j.im.2013.11.010
Inoguchi, T., Mikam, S., & Fujii, S. (2007). Social capital in East Asia: Comparative political culture in Confucian societies. //Japanese Journal of Political Science, 8//, 409-426. https://doi.org/10.1017/S1468109907002733
Lichstein, K.L. (2017). Insomnia identity. //Behaviour Research and Therapy, 97//, 230-241. https://doi.org/10.1016/j.brat.2017.08.005
Moyes, H.C.A., Heath, J.J., & Dean, L.V. (2016). What can be done to improve outcomes for prisoners with a dual diagnosis?. //Advances in Dual Diagnosis, 9//(1), 14-25. https://doi.org/10.1108/ADD-07-2015-0016
[img[tps53.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Leffel, G.M., Oakes Mueller, R.A., Ham, S.A., Curlin, F.A., & Yoon, J.D. (2017). Project on the good physician: A proposal for a moral intuitionist model of virtuous caring. //Teaching and Learning in Medicine, 29//(1), 75-84. https://doi.org/10.1080/10401334.2016.1205497
Gregory, M. (2000). Care as a goal of democratic education. //Journal of Moral Education, 29//(4), 445-461. https://doi.org/10.1080/713679392
Kurth, F., Cherbuin, N., & Luders, E. (2015). Reduced age-related degeneration of the hippocampal subiculum in long-term meditators. //Psychiatry Research-neuroimaging, 232//(3), 214-218. https://doi.org/10.1016/j.pscychresns.2015.03.008
Mathiowetz, D. (2016). Meditation is good for nothing: Leisure as a democratic practice. //New Political Science, 38//(2), 241-255. https://doi.org/10.1080/07393148.2016.1153193
Wong, W.P., Hassed, C., Chambers, R., & Coles, J. (2016). The effects of mindfulness on persons with mild cognitive impairment: Protocol for a mixed-methods longitudinal study. //Frontiers in Aging Neuroscience, 8//, 156. https://doi.org/10.3389/fnaci.2016.00156
Wells, R.E., Yeh, G.Y., Kerr, C.E., Wolkin, J., Davis, R.B., Tan, Y., ... & Kong, J. (2013). Meditation's impact on default mode network and hippocampus in mild cognitive impairment: A pilot study. //Neuroscience Letters, 556//, 15-19. https://doi.org/10.1016/j.neulet.2013.10.001
Skruibis, P., Eimontas, J., Dovydaitiene, M., Mazulyte, E., Zelviene, P., & Kazlauskas, E. (2016). Internet-based modular program badi for adjustment disorder: Protocol of a randomized controlled trial. //BMC Psychiatry, 16//264. https://doi.org/10.1186/s12888-016-0980-9
Kinghorn, W. (2015). Presence of mind: Thomistic prudence and contemporary mindfulness practices. //Journal of the Society of Christian Ethics, 35//(1), 83-102. https://doi.org/10.1353/sce.2015.0009
Luders, E., Thompson, P.M., Kurth, F., Hong, J.Y., Phillips, O.R., Wang, Y.L., ... & Toga, A.W. (2013). Global and regional alterations of hippocampal anatomy in long-term meditation practitioners. //Human Brain Mapping, 34//(12), 3369-3375. https://doi.org/10.1002/hbm.22153
Luders, E., Kurth, F., Toga, A.W., Narr, K.L., & Gaser, C. (2013). Meditation effects within the hippocampal complex revealed by voxel-based morphometry and cytoarchitectonic probabilistic mapping. //Frontiers in Psychology, 4//, 398. https://doi.org/10.3389/fpsyg.2013.00398
Ashton, N.J., Hye, A., Leckey, C.A., Jones, A.R., Gardner, A., Elliott, C., ... & Marchant, N.L. (2017). Plasma rest: A novel candidate biomarker of Alzheimer's disease is modified by psychological intervention in an at-risk population. //Translational Psychiatry, 7//e1148. https://doi.org/10.1038/tp.2017.113
Luders, E., Toga, A.W., Lepore, N., & Gaser, C. (2009). The underlying anatomical correlates of long-term meditation: Larger hippocampal and frontal volumes of gray matter. //Neuroimage, 45//(3), 672-678. https://doi.org/10.1016/j.neuroimage.2008.12.061
Remmers, C., Topolinski, S., & Michalak, J. (2015). Mindful(l) intuition: Does mindfulness influence the access to intuitive processes?. //Journal of Positive Psychology, 10//(3), 282-292. https://doi.org/10.1080/17439760.2014.950179
Sairanen, E., Tolvanen, A., Karhunen, L., Kolehmainen, M., Jarvela, E., Rantala, S., ... & Lappalainen, R. (2015). Psychological flexibility and mindfulness explain intuitive eating in overweight adults. //Behavior Modification, 39//(4), 557-579. https://doi.org/10.1177/0145445515576402
Makova, E., Meeten, F., Watson, D.R., Garfinkel, S.N., Critchley, H.D., & Ottaviani, C. (2016). Neurostructural abnormalities associated with axes of emotion dysregulation in generalized anxiety. //Neuroimage: Clinical, 10//, 172-181. https://doi.org/10.1016/j.nicl.2015.11.022
Holzel, B.K., Ott, U., Gard, T., Hempel, H., Weygandt, M., Morgen, K., ... & Vaitl, D. (2008). Investigation of mindfulness meditation practitioners with voxel-based morphometry. //Social Cognitive and Affective Neuroscience, 3//(1), 55-61. https://doi.org/10.1093/scan/nsm038
Remmers, C., & Michalak, J. (2016). Losing gut feeling? intuition in depression. //Frontiers in Psychology, 7//, 1291. https://doi.org/10.3389/fpsyg.2016.01291
Luders, E., Cherbuin, N., & Kurth, F. (2015). Forever young(er): Potential age-defying effects of long-term meditation on gray matter atrophy. //Frontiers in Psychology, 5//, 1551. https://doi.org/10.3389/fpsyg.2014.01551
Grant, J.A., Courtemanche, J., Duerden, E.G., Duncan, G.H., & Rainville, P. (2010). Cortical thickness and pain sensitivity in zen meditators. //Emotion, 10//(1), 43-53. https://doi.org/10.1037/a0018334
Engstrom, M., Pihlsgard, J., Lundberg, P., & Soderfeldt, B. (2010). Functional magnetic resonance imaging of hippocampal activation during silent mantra meditation. //Journal of Alternative and Complementary Medicine, 16//(12), 1253-1258. https://doi.org/10.1089/acm.2009.0706
Villemure, C., Ceko, M., Cotton, V.A., & Bushnell, M.C. (2015). Neuroprotective effects of yoga practice: Age-, experience-, and frequency-dependent plasticity. //Frontiers in Human Neuroscience, 9//, 281. https://doi.org/10.3389/fnhum.2015.00281
Froeliger, B., Garland, E.L., & McClernon, F.J. (2012). Yoga meditation practitioners exhibit greater gray matter volume and fewer reported cognitive failures: Results of a preliminary voxel-based morphometric analysis. //Evidence-based Complementary and Alternative Medicine//, NA. https://doi.org/10.1155/2012/821307
Newberg, A.B., Serruya, M., Wintering, N., Moss, A.S., Reibel, D., & Monti, D.A. (2014). Meditation and neurodegenerative diseases. Advances in meditation research: //Neuroscience and clinical applications, 1307//, 112-123. https://doi.org/10.1111/nyas.12187
Leung, M.K., Chan, C.C.H., Yin, J., Lee, C.F., So, K.F., & Lee, T.M.C. (2013). Increased gray matter volume in the right angular and posterior parahippocampal gyri in loving-kindness meditators. //Social Cognitive and Affective Neuroscience, 8//(1), 34-39. https://doi.org/10.1093/scan/nss076
Holzel, B.K., Carmody, J., Evans, K.C., Hoge, E.A., Dusek, J.A., Morgan, L., ... & Lazar, S.W. (2010). Stress reduction correlates with structural changes in the amygdala. //Social Cognitive and Affective Neuroscience, 5//(1), 11-17. https://doi.org/10.1093/scan/nsp034
[img[tps54.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Radmark, L., Hanson, L.L.M., Horwitz, E.B., & Osika, W. (2017). Prevalence of mind and body exercises (MBE) in relation to demographics, self-rated health, and purchases of prescribed psychotropic drugs and analgesics. //PLOS ONE, 12//(9), e0184635.
https://doi.org/10.1371/journal.pone.0184635
Hafskjold, L., Sundler, A.J., Holmstrom, I.K., Sundling, V., van Dulmen, S., & Eide, H. (2015). A cross-sectional study on person-centred communication in the care of older people: The comhome study protocol. //BMJ Open, 5//(4), e007864. https://doi.org/10.1136/bmjopen-2015-007864
Ellington, L., Reblin, M., Berry, P., Giese-Davis, J., & Clayton, M.F. (2013). Reflective research: Supporting researchers engaged in analyzing end-of-life communication. //Patient Education and Counseling, 91//(1), 126-128. https://doi.org/10.1016/j.pec.2012.09.007
Cillessen, L., van de Ven, M.O., & Karremans, J.C. (2017). The role of trait mindfulness in quality of life and asthma control among adolescents with asthma. //Journal of Psychosomatic Research, 99//, 143-148. https://doi.org/10.1016/j.jpsychores.2017.06.014
Sundling, V., Sundler, A.J., Holmstrom, I.K., Kristensen, D.V., & Eide, H. (2017). Mindfulness predicts student nurses' communication self-efficacy: A cross-national comparative study. //Patient Education and Counseling, 100//(8), 1558-1563. https://doi.org/10.1016/j.pec.2017.03.016
Favotto, L., Michaelson, V., & Davison, C. (2017). Perceptions of the influence of computer-mediated communication on the health and well-being of early adolescents. //International Journal of Qualitative Studies on Health and Well-being, 12//(1), 1335575. https://doi.org/10.1080/17482631.2017.1335575
Black, D.S., Lam, C.N., Nguyen, N.T., Ihenacho, U., & Figueiredo, J.C. (2016). Complementary and integrative health practices among hispanics diagnosed with colorectal cancer: Utilization and communication with physicians. //Journal of Alternative and Complementary Medicine, 22//(6), 473-479. https://doi.org/10.1089/acm.2015.0332
Epstein, R.M. (2006). Making communication research matter: What do patients notice, what do patients want, and what do patients need?. //Patient Education and Counseling, 60//(3), 272-278. https://doi.org/10.1016/j.pec.2005.11.003
Grapendorf, J., Sassenberg, K., & Landkammer, F. (2017). Mindfulness is detrimental to performance in computer-mediated interdependent tasks. //Computers in Human Behavior, 74//, 1-6. https://doi.org/10.1016/j.chb.2017.04.023
Stroud, S.R. (2016). Democracy, partisanship, and the meliorative value of sympathy in John Dewey's philosophy of communication. //Journal of Speculative Philosophy, 30//(1), 75-93. https://doi.org/10.5325/jspecphil.30.1.0075
Pbert, L., Madison, J.M., Druker, S., Olendzki, N., Magner, R., Reed, G., ... & Carmody, J. (2012). Effect of mindfulness training on asthma quality of life and lung function: A randomised controlled trial. //Thorax, 67//(9), 769-776. https://doi.org/10.1136/thoraxjnl-2011-200253
Jensen, K.K., & Harris, V. (1999). The public speaking portfolio. //Communication Education, 48//(3), 211-227. https://doi.org/10.1080/03634529909379170
Jensen, D., Bruce, L.C., Heimberg, R.G., Matt, L.M., & Morrison, A.S. (2016). Social anxiety and misinterpretation of the five facet mindfulness questionnaire describe subscale. //Journal of Cognitive Psychotherapy, 30//(3), 168-176. https://doi.org/10.1891/0889-8391.30.3.168
Laures-Gore, J., & Marshall, R.S. (2016). Mindfulness meditation in aphasia: A case report. //Neurorehabilitation, 38//(4), 321-329. https://doi.org/10.3233/NRE-161323
Lanham, H.J., Leykum, L.K., & McDaniel, R.R. (2012). Same organization, same electronic health records (EHRs) system, different use: Exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting. //Journal of the American Medical Informatics Association, 19//(3), 382-391. https://doi.org/10.1136/amiajnl-2011-000263
Tili, T.R., & Barker, G.G. (2015). Communication in intercultural marriages: Managing cultural differences and conflicts. //Southern Communication Journal, 80//(3), 189-210. https://doi.org/10.1080/1041794X.2015.1023826
Barker, V., & Giles, H. (2003). Integrating the communicative predicament and enhancement of aging models: The case of older native Americans. //Health Communication, 15//(3), 255-275. https://doi.org/10.1207/S15327027HC1503_1
Jones, S.M., & Hansen, W. (2015). The impact of mindfulness on supportive communication skills: Three exploratory studies. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0362-7
Kraemer, K.M., McLeish, A.C., & Johnson, A.L. (2015). Associations between mindfulness and panic symptoms among young adults with asthma. //Psychology Health & Medicine, 20//(3), 322-331. https://doi.org/10.1080/13548506.2014.936888
King, P.E., & Sawyer, C.R. (1998). Mindfulness, mindlessness and communication instruction. //Communication Education, 47//(4), 326-336. https://doi.org/10.1080/03634529809379139
Dickinson, J., Friary, P., & McCann, C.M. (2017). The influence of mindfulness meditation on communication and anxiety: A case study of a person with aphasia. //Aphasiology, 31//(9), 1044-1058. https://doi.org/10.1080/02687038.2016.1234582
Mahmood, L., Hopthrow, T., & de Moura, G.R. (2016). A moment of mindfulness: Computer-mediated mindfulness practice increases state mindfulness. //PLOS ONE, 11//(4), e0153923. https://doi.org/10.1371/journal.pone.0153923
Fellows, J.L., Flower, L., Blakey, J., Kurukulaaratchy, R., Howard, R., & Mansur, A. (2015). Case series: The application of "third wave'" cognitive behavioural therapies in difficult to treat asthma. //Journal of Asthma, 52//(9), 905-912. https://doi.org/10.3109/02770903.2014.1003155
Epner, D.E., & Baile, W.F. (2014). Difficult conversations: Teaching medical oncology trainees communication skills one hour at a time. //Academic Medicine, 89//(4), 578-584. https://doi.org/10.1097/ACM.0000000000000177
Real, K., Fields-Elswick, K., & Bernard, A.C. (2017). Understanding resident performance, mindfulness, and communication in critical care rotations. //Journal of Surgical Education, 74//(3), 503-512. https://doi.org/10.1016/j.jsurg.2016.11.010
Huston, D.C., Garland, E.L., & Farb, N.A.S. (2011). Mechanisms of mindfulness in communication training. //Journal of Applied Communication Research, 39//(4), 406-421. https://doi.org/10.1080/00909882.2011.608696
Lundgren, T., & Parling, T. (2017). Swedish acceptance and action questionnaire (SAAQ): A psychometric evaluation. //Cognitive Behaviour Therapy, 46//(4), 315-326. https://doi.org/10.1080/16506073.2016.1250228
Wittenberg-Lyles, E., Goldsmith, J., & Ragan, S.L. (2010). The comfort initiative palliative nursing and the centrality of communication. //Journal of Hospice & Palliative Nursing, 12//(5), 282-292. https://doi.org/10.1097/NJH.0b013e3181ebb45e
Haver, A., Akerjordet, K., Caputi, P., Furunes, T., & Magee, C. (2015). Measuring mental well-being: A validation of the Short Warwick–Edinburgh Mental Well-Being Scale in Norwegian and Swedish. //Scandinavian Journal of Public Health, 43//(7), 721-NA. https://doi.org/10.1177/1403494815588862
Ramasubramanian, S. (2017). Mindfulness, stress coping and everyday resilience among emerging youth in a university setting: A mixed methods approach. //International Journal of Adolescence and Youth, 22//(3), 308-321. https://doi.org/10.1080/02673843.2016.1175361
Taylor, J.A., Sims, J., & Hill, H. (2015). Reflective practice and its relationship to mindfulness, situation/movement awareness and person-centredness during mobility care in nursing homes: A discussion paper. //Reflective Practice, 16//(4), 449-458. https://doi.org/10.1080/14623943.2015.1052386
Fuller, R.P. (2016). The big breach: An experiential learning exercise in mindful crisis communication. //Communication Teacher, 30//(1), 27-32. https://doi.org/10.1080/17404622.2015.1102306
Malpass, A., Kessler, D., Sharp, D., & Shaw, A. (2015). MBCT for patients with respiratory conditions who experience anxiety and depression: A qualitative study. //Mindfulness, 6//(5), 1181-1191. https://doi.org/10.1007/s12671-014-0370-7
Livheim, F., Hayes, L., Ghaderi, A., Magnusdottir, T., Hogfeldt, A., Rowse, J., ... & Tengstrom, A. (2015). The effectiveness of acceptance and commitment therapy for adolescent mental health: Swedish and Australian pilot outcomes. //Journal of Child and Family Studies, 24//(4), 1016-1030. https://doi.org/10.1007/s10826-014-9912-9
Pyati, A. (2017). Contemplation as educational activism within communication studies. //Canadian Journal of Communication, 42//(1), 67-80.
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
Hall, P., Byszewski, A., Sutherland, S., & Stodel, E.J. (2012). Developing a sustainable electronic portfolio (eportfolio) program that fosters reflective practice and incorporates canmeds competencies into the undergraduate medical curriculum. //Academic Medicine, 87//(6), 744-751. https://doi.org/10.1097/ACM.0b013e318253dacd
Sharon, T., & Zandbergen, D. (2017). From data fetishism to quantifying selves: Self-tracking practices and the other values of data. //New Media & Society, 19//(11), 1695-1709. https://doi.org/10.1177/1461444816636090
Raisler, J. (1999). Alternative healing in nurse-midwifery practice. //Journal of Nurse-Midwifery, 44//(3), 310-319. https://doi.org/10.1016/S0091-2182(99)00041-5
[img[tps55.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Jennings, P.A., Brown, J.L., Frank, J.L., Doyle, S., Oh, Y., Davis, R., ... & Greenberg, M.T. (2017). Impacts of the CARE for teachers program on teachers' social and emotional competence and classroom interactions. //Journal of Educational Psychology, 109//(7), 1010-1028. https://doi.org/10.1037/edu0000187
Reynolds, L.M., Consedine, N.S., Pizarro, D.A., & Bissett, I.P. (2013). Disgust and behavioral avoidance in colorectal cancer screening and treatment: A systematic review and research agenda. //Cancer Nursing, 36//(2), 122-130. https://doi.org/10.1097/NCC.0b013e31826a4b1b
Reynolds, L.M., Consedine, N.S., & McCambridge, S.A. (2014). Mindfulness and disgust in colorectal cancer scenarios: Non-judging and non-reacting components predict avoidance when it makes sense. //Mindfulness, 5//(4), 442-452. https://doi.org/10.1007/s12671-013-0200-3
de Carvalho, J.S., Pinto, A.M., & Maroco, J. (2017). Results of a mindfulness-based social-emotional learning program on Portuguese elementary students and teachers: A quasi-experimental study. //Mindfulness, 8//(2), 337-350. https://doi.org/10.1007/s12671-016-0603-z
Burrows, L. (2017). I feel proud we are moving forward: Safeguarding mindfulness for vulnerable student and teacher wellbeing in a community college. //Journal of Adult Protection, 19//(1), 33-46. https://doi.org/10.1108/JAP-08-2016-0015
Edwards, J.R., & Rosin, P. (2016). A prekindergarten curriculum supplement for enhancing mainstream american english knowledge in nonmainstream American English speakers. //Language Speech and Hearing Services in Schools, 47//(2), 113-122. https://doi.org/10.1044/2015_LSHSS-15-0011
Carson, R.L., Baumgartner, J.J., Ota, C.L., Kuhn, A.P., & Durr, A. (2017). An ecological momentary assessment of burnout, rejuvenation strategies, job satisfaction, and quitting intentions in childcare teachers. //Early Childhood Education Journal, 45//(6), 801-808. https://doi.org/10.1007/s10643-016-0831-9
Kasson, E.M., & Wilson, A.N. (2017). Preliminary evidence on the efficacy of mindfulness combined with traditional classroom management strategies. //Behavior Analysis in Practice, 10//(3), 242-251. https://doi.org/10.1007/s40617-016-0160-x
Black, D.S., & Fernando, R. (2014). Mindfulness training and classroom behavior among lower-income and ethnic minority elementary school children. //Journal of Child and Family Studies, 23//(7), 1242-1246. https://doi.org/10.1007/s10826-013-9784-4
Jennings, P.A. (2015). Early childhood teachers' well-being, mindfulness, and self-compassion in relation to classroom quality and attitudes towards challenging students. //Mindfulness, 6//(4), 732-743. https://doi.org/10.1007/s12671-014-0312-4
Aydin, A. (2015). Identifying the relationship of teacher candidates' humor styles with anxiety and self-compassion levels. //Eurasian Journal of Educational Research, //(59), 1-16.
Roberts, A., LoCasale-Crouch, J., Hamre, B., & DeCoster, J. (2016). Exploring teachers' depressive symptoms, interaction quality, and children's social-emotional development in head start. //Early Education and Development, 27//(5), 642-654. https://doi.org/10.1080/10409289.2016.1127088
van Aalderen, J.R., Breukers, W.J., Reuzel, R.P.B., & Speckens, A.E.M. (2014). The role of the teacher in mindfulness-based approaches: A qualitative study. //Mindfulness, 5//(2), 170-178. https://doi.org/10.1007/s12671-012-0162-x
Jennings, P.A., Frank, J.L., Snowberg, K.E., Coccia, M.A., & Greenberg, M.T. (2013). Improving classroom learning environments by cultivating awareness and resilience in education (CARE): Results of a randomized controlled trial. //School Psychology Quarterly, 28//(4), 374-390. https://doi.org/10.1037/spq0000035
Roeser, R.W., Skinner, E., Beers, J., & Jennings, P.A. (2012). Mindfulness training and teachers' professional development: An emerging area of research and practice. //Child Development Perspectives, 6//(2), 167-173. https://doi.org/10.1111/j.1750-8606.2012.00238.x
Frank, J.L., Jennings, P.A., & Greenberg, M.T. (2016). Validation of the mindfulness in teaching scale. //Mindfulness, 7//(1), 155-163. https://doi.org/10.1007/s12671-015-0461-0
Nyaema, M.K. (2017). In response to david greenwood's 'place mobility and faculty life: Mindfulness through change' through the lens of science teacher education programs. //Cultural Studies of Science Education, 12//(2), 513-519. https://doi.org/10.1007/s11422-016-9736-6
Smith, S.E., Barnes, E.S., Mason, J., & Broome, J. (2016). Place, workplace, and mindful movement. //Learning Communities-international Journal of Learning in Social Contexts, 20//, 4-19. http://doi.org/10.18793/LCJ2016.20.02
Schussler, D.L., Jennings, P.A., Sharp, J.E., & Frank, J.L. (2016). Improving teacher awareness and well-being through care: A qualitative analysis of the underlying mechanisms. //Mindfulness, 7//(1), 130-142. https://doi.org/10.1007/s12671-015-0422-7
Reynolds, L.M., Bissett, I.P., Porter, D., & Consedine, N.S. (2016). The "ick" factor matters: Disgust prospectively predicts avoidance in chemotherapy patients. //Annals of Behavioral Medicine, 50//(6), 935-945. https://doi.org/10.1007/s12160-016-9820-x
Gouda, S., Luong, M.T., Schmidt, S., & Bauer, J. (2016). Students and teachers benefit from mindfulness-based stress reduction in a school-embedded pilot study. //Frontiers in Psychology, 7//, 590. https://doi.org/10.3389/fpsyg.2016.00590
Taylor, C., Harrison, J., Haimovitz, K., Oberle, E., Thomson, K., Schonert-Reichl, K., ... & Roeser, R.W. (2016). Examining ways that a mindfulness-based intervention reduces stress in public school teachers: A mixed-methods study. //Mindfulness, 7//(1), 115-129. https://doi.org/10.1007/s12671-015-0425-4
Huijbers, M.J., Crane, R.S., Kuyken, W., Heijke, L., van den Hout, I., Donders, A.R.T., ... & Speckens, A.E.M. (2017). Teacher competence in mindfulness-based cognitive therapy for depression and its relation to treatment outcome. //Mindfulness, 8//(4), 960-972. https://doi.org/10.1007/s12671-016-0672-z
Flook, L., Goldberg, S.B., Pinger, L., Bonus, K., & Davidson, R.J. (2013). Mindfulness for teachers: A pilot study to assess effects on stress, burnout, and teaching efficacy. //Mind Brain and Education, 7//(3), 182-195. https://doi.org/10.1111/mbe.12026
Alexakos, K., Pride, L.D., Amat, A., Tsetsakos, P., Lee, K.J., Paylor-Smith, C., ... & Smith, T. (2016). Mindfulness and discussing "thorny" issues in the classroom. //Cultural Studies of Science Education, 11//(3), 741-769. https://doi.org/10.1007/s11422-015-9718-0
Arthurson, K. (2015). Teaching mindfulness to year sevens as part of health and personal development. //Australian Journal of Teacher Education, 40//(5), 27-40. http://dx.doi.org/10.14221/ajte.2015v40n5.2
Kurtzman, B. (2017). Bringing mindfulness to the k-6 classroom. //Learning Landscapes, 10//(2), 23-29.
Piotrowski, S.A., Binder, M.J., & Schwind, J.K. (2017). Primary teachers' perceptions of mindfulness practices with young children. //Learning Landscapes, 10//(2), 225-240.
Hinds, E., Jones, L.B., Gau, J.M., Forrester, K.K., & Biglan, A. (2015). Teacher distress and the role of experiential avoidance. //Psychology in the Schools, 52//(3), 284-297. https://doi.org/10.1002/pits.21821
Roeser, R.W., Schonert-Reichl, K.A., Jha, A., Cullen, M., Wallace, L., Wilensky, R., ... & Harrison, J. (2013). Mindfulness training and reductions in teacher stress and burnout: Results from two randomized, waitlist-control field trials. //Journal of Educational Psychology, 105//(3), 787-804. https://doi.org/10.1037/a0032093
Powietrzynska, M., & Gangji, A.K.H. (2016). I understand why people need to ease their emotions: Exploring mindfulness and emotions in a conceptual physics classroom of an elementary teacher education program. //Cultural Studies of Science Education, 11//(3), 693-712. https://doi.org/10.1007/s11422-016-9772-2
Barrett, B., Grabow, M., Middlecamp, C., Mooney, M., Checovich, M.M., Converse, A.K., ... & Yates, J. (2016). Mindful climate action: Health and environmental co-benefits from mindfulness-based behavioral training. //Sustainability, 8//(10). https://doi.org/10.3390/su8101040
Klatt, M., Harpster, K., Browne, E., White, S., & Case-Smith, J. (2013). Feasibility and preliminary outcomes for move-into-learning: An arts-based mindfulness classroom intervention. //Journal of Positive Psychology, 8//(3), 233-241. https://doi.org/10.1080/17439760.2013.779011
Reynolds, L.M., Lin, Y.S., Zhou, E., & Consedine, N.S. (2015). Does a brief state mindfulness induction moderate disgust-driven social avoidance and decision-making? An experimental investigation. //Journal of Behavioral Medicine, 38//(1), 98-109. https://doi.org/10.1007/s10865-014-9582-5
Kyte, D. (2016). Toward a sustainable sense of self in teaching and teacher education: Sustainable happiness and well-being through mindfulness. //Mcgill Journal of Education, 51//(3), 1143-1162.
Hutchinson, K., Gilbert, A., & Malyukova, A. (2016). Navigating "thorny" issues. //Cultural Studies of Science Education, 11//(3), 771-783. https://doi.org/10.1007/s11422-016-9779-8
Beshai, S., McAlpine, L., Weare, K., & Kuyken, W. (2016). A non-randomised feasibility trial assessing the efficacy of a mindfulness-based intervention for teachers to reduce stress and improve well-being. //Mindfulness, 7//(1), 198-208. https://doi.org/10.1007/s12671-015-0436-1
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., & Singh, J. (2013). Mindfulness training for teachers changes the behavior of their preschool students. //Research in Human Development, 10//(3), 211-233. https://doi.org/10.1080/15427609.2013.818484
Hao, Y.W. (2016). The development of pre-service teachers' knowledge: A contemplative approach. //Computers in Human Behavior, 60//, 155-164. https://doi.org/10.1016/j.chb.2016.02.054
Thierry, K.L., Bryant, H.L., Nobles, S.S., & Norris, K.S. (2016). Two-year impact of a mindfulness-based program on preschoolers' self-regulation and academic performance. //Early Education and Development, 27//(6), 805-821. https://doi.org/10.1080/10409289.2016.1141616
Lin, C.Y., Kuo, T.H., Kuo, Y.K., Kuo, Y.L., Ho, L.A., & Lin, C.T. (2007). Practice makes better? A study of meditation learners in a classroom environment. //Educational Studies, 33//(1), 65-80. https://doi.org/10.1080/03055690600948216
van de Weijer-Bergsma, E., Langenberg, G., Brandsma, R., Oort, F.J., & Bogels, S.M. (2014). The effectiveness of a school-based mindfulness training as a program to prevent stress in elementary school children. //Mindfulness, 5//(3), 238-248. https://doi.org/10.1007/s12671-012-0171-9
Cook, C.R., Miller, F.G., Fiat, A., Renshaw, T., Frye, M., Joseph, G., ... & Decano, P. (2017). Promoting secondary teachers' well-being and intentions to implement evidence-based practices: Randomized evaluation of the achiever resilience curriculum. //Psychology in the Schools, 54//(1), 13-28. https://doi.org/10.1002/pits.21980
Swanepoel, E.H., Beyers, C., & De Wet, L. (2017). Exploring judgement and internal bias of Life Orientation teachers in sexuality teaching //TD: The Journal for Transdisciplinary Research in Southern Africa, 13//(1), a405. https://doi.org/10.4102/td.v13i1.405
Crain, T.L., Schonert-Reichl, K.A., & Roeser, R.W. (2017). Cultivating teacher mindfulness: Effects of a randomized controlled trial on work, home, and sleep outcomes. //Journal of Occupational Health Psychology, 22//(2), 138-152. https://doi.org/10.1037/ocp0000043
Stewart, T.L., Berkvens, M., Engels, W.A.E.W., & Pass, J.A. (2003). Status and likability: Can the "mindful" woman have it all?. //Journal of Applied Social Psychology, 33//(10), 2040-2059. https://doi.org/10.1111/j.1559-1816.2003.tb01874.x
Vacarr, B. (2001). Moving beyond polite correctness: Practicing mindfulness in the diverse classroom. //Harvard Educational Review, 71//(2), 285-295.
Brunzell, T., Stokes, H., & Waters, L. (2016). Trauma-informed flexible learning: Classrooms that strengthen regulatory abilities. //International Journal of Child Youth & Family Studies, 7//(2), 218-239. https://doi.org/10.18357/ijcyfs72201615719
Hue, M.T., & Lau, N.S. (2015). Promoting well-being and preventing burnout in teacher education: A pilot study of a mindfulness-based programme for pre-service teachers in Hong Kong. //Teacher Development, 19//(3), 381-401. https://doi.org/10.1080/13664530.2015.1049748
Kernochan, R.A., McCormick, D.W., & White, J.A. (2007). Spirituality and the management teacher - reflections of three Buddhists on compassion, mindfulness, and selflessness in the classroom. //Journal of Management Inquiry, 16//(1), 61-75. https://doi.org/10.1177/1056492606297545
Schnaider-Levi, L., Mitnik, I., Zafrani, K., Goldman, Z., & Lev-Ari, S. (2017). Inquiry-based stress reduction meditation technique for teacher burnout: A qualitative study. //Mind Brain and Education, 11//(2), 75-84. https://doi.org/10.1111/mbe.12137
Schonert-Reichl, K.A., Oberle, E., Lawlor, M.S., Abbott, D., Thomson, K., Oberlander, T.F., ... & Diamond, A. (2015). Enhancing cognitive and social-emotional development through a simple-to-administer mindfulness-based school program for elementary school children: A randomized controlled trial. //Developmental Psychology, 51//(1), 52-66. https://doi.org/10.1037/a0038454
Haines, S., Keefe, K.C., Tinkler, A., Kotsiopoulos, A., Gerstl-Pepin, C., Shepherd, K.G., ... & Milhomens, M. (2017). Let's just stop and take a breath: A community-driven approach to mindfulness practice in a high poverty elementary school. //Learning Landscapes, 10//(2), 189-205.
Gold, E., Smith, A., Hopper, I., Herne, D., Tansey, G., & Hulland, C. (2010). Mindfulness-based stress reduction (MBSR) for primary school teachers. //Journal of Child and Family Studies, 19//(2), 184-189. https://doi.org/10.1007/s10826-009-9344-0
Reiser, J.E., Murphy, S.L., & McCarthy, C.J. (2016). Stress prevention and mindfulness: A psychoeducational and support group for teachers. //Journal for Specialists in Group Work, 41//(2), 117-139. https://doi.org/10.1080/01933922.2016.1151470
Carboni, J.A., Roach, A.T., & Fredrick, L.D. (2013). Impact of mindfulness training on the behavior of elementary students with attention-deficit/hyperactive disorder. //Research in Human Development, 10//(3), 234-251. https://doi.org/10.1080/15427609.2013.818487
Harris, A.R., Jennings, P.A., Katz, D.A., Abenavoli, R.M., & Greenberg, M.T. (2016). Promoting stress management and wellbeing in educators: Feasibility and efficacy of a school-based yoga and mindfulness intervention. //Mindfulness, 7//(1), 143-154. https://doi.org/10.1007/s12671-015-0451-2
Dariotis, J.K., Mirabal-Beltran, R., Cluxton-Keller, F., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2017). A qualitative exploration of implementation factors in a school-based mindfulness and yoga program: Lessons learned from students and teachers. //Psychology in the Schools, 54//(1), 53-69. https://doi.org/10.1002/pits.21979
Dariotis, J.K., Mirabal-Beltran, R., Cluxton-Keller, F., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2016). A qualitative evaluation of student learning and skills use in a school-based mindfulness and yoga program. //Mindfulness, 7//(1), 76-89. https://doi.org/10.1007/s12671-015-0463-y
Patterson, J. (2015). Employing mindfulness via art in education. //International Journal of Education Through Art, 11//(2), 185-192. https://doi.org/10.1386/eta.11.2.185_1
Keiser, D.L., & Adarkar, A. (2015). Buddhas still in classrooms: Where is the mustard seed?. //Reflective Practice, 16//(6), 836-848. https://doi.org/10.1080/14623943.2015.1095732
Reid, E., & Miller, L. (2009). An exploration in mindfulness: Classroom of detectives. //Teachers College Record, 111//(12), 2775-2785.
Felver, J.C., Frank, J.L., & McEachern, A.D. (2014). Effectiveness, acceptability, and feasibility of the soles of the feet mindfulness-based intervention with elementary school students. //Mindfulness, 5//(5), 589-597. https://doi.org/10.1007/s12671-013-0238-2
Davenport, C., & Pagnini, F. (2016). Mindful learning: A case study of Langerian Mindfulness in schools. //Frontiers in Psychology, 7//, 1372. https://doi.org/10.3389/fpsyg.2016.01372
Franco, C., Manas, I., Cangas, A.J., Moreno, E., & Gallego, J. (2010). Reducing teachers' psychological distress through a mindfulness training program. //Spanish Journal of Psychology, 13//(2), 655-666.
Chinn, P.W.U. (2015). Place and culture-based professional development: Cross-hybrid learning and the construction of ecological mindfulness. //Cultural Studies of Science Education, 10//(1), 121-134. https://doi.org/10.1007/s11422-014-9585-0
Lewallen, A.C., & Neece, C.L. (2015). Improved social skills in children with developmental delays after parent participation in MBSR: The role of parent-child relational factors. //Journal of Child and Family Studies, 24//(10), 3117-3129. https://doi.org/10.1007/s10826-015-0116-8
Ho, L.A., Lin, C.Y., Kuo, T.H., Kuo, Y.K., & Kuo, Y.L. (2008). Applying deeper learning and Confucian values in enhancing school effectiveness - Empirical results and findings. //Urban Education, 43//(5), 561-586. https://doi.org/10.1177/0042085907304965
Ennis, C.D. (2017). Educating students for a lifetime of physical activity: Enhancing mindfulness, motivation, and meaning. //Research Quarterly for Exercise and Sport, 88//(3), 241-250. https://doi.org/10.1080/02701367.2017.1342495
Evans, A., Crane, R., Cooper, L., Mardula, J., Wilks, J., Surawy, C., ... & Kuyken, W. (2015). A framework for supervision for mindfulness-based teachers: A space for embodied mutual inquiry. //Mindfulness, 6//(3), 572-581. https://doi.org/10.1007/s12671-014-0292-4
Calderon, O. (2016). Oximetry: A reflective tool for the detection of physiological expression of emotions in a science education classroom. //Cultural Studies of Science Education, 11//(3), 653-667. https://doi.org/10.1007/s11422-016-9731-y
Crane, R.S., Kuyken, W., Williams, J.M.G., Hastings, R.P., Cooper, L., & Fennell, M.J.V. (2012). Competence in teaching mindfulness-based courses: Concepts, development and assessment. //Mindfulness, 3//(1), 76-84. https://doi.org/10.1007/s12671-011-0073-2
Poehlmann-Tynan, J., Vigna, A.B., Weymouth, L.A., Gerstein, E.D., Burnson, C., Zabransky, M., ... & Zahn-Waxler, C. (2016). A pilot study of contemplative practices with economically disadvantaged preschoolers: Children's empathic and self-regulatory behaviors. //Mindfulness, 7//(1), 46-58. https://doi.org/10.1007/s12671-015-0426-3
Mount, R.K., Albrecht, N.J., & Waters, L. (2016). Mindfulness-based approaches for young people with autism spectrum disorder and their caregivers: Do these approaches hold benefits for teachers?. //Australian Journal of Teacher Education, 41//(6), 68-86. https://doi.org/10.14221/ajte.2016v41n6.5
Lee, S., Kim, M.W., McDonough, I.M., Mendoza, J.S., & Kim, M.S. (2017). The effects of cell phone use and emotion-regulation style on college students' learning. //Applied Cognitive Psychology, 31//(3), 360-366. https://doi.org/10.1002/acp.3323
Nedeljkovic, M., Burgler, C., Wirtz, P.H., Seiler, R., Streitberger, K.M., & Ausfeld-Hafter, B. (2012). Getting started with Taiji: Investigating students expectations and teachers appraisals of Taiji beginners courses. //Evidence-based Complementary and Alternative Medicine, 2012//, 595710. https://doi.org/10.1155/2012/595710
Tomfohr, L.M., Pung, M.A., Mills, P.J., & Edwards, K. (2015). Trait mindfulness is associated with blood pressure and interleukin-6: Exploring interactions among subscales of the five facet mindfulness questionnaire to better understand relationships between mindfulness and health. //Journal of Behavioral Medicine, 38//(1), 28-38. https://doi.org/10.1007/s10865-014-9575-4
[img[tps56.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Mercer, S.W., Fitzpatrick, B., Guthrie, B., Fenwick, E., Grieve, E., Lawson, K., ... & Wyke, S. (2016). The care plus study - a whole-system intervention to improve quality of life of primary care patients with multimorbidity in areas of high socioeconomic deprivation: Exploratory cluster randomised controlled trial and cost-utility analysis. //BMC Medicine, 14//88. https://doi.org/10.1186/s12916-016-0634-2
Ellett, L., Freeman, D., & Garety, P.A. (2008). The psychological effect of an urban environment on individuals with persecutory delusions: The camberwell walk study. //Schizophrenia Research, 99//(42738), 77-84. https://doi.org/10.1016/j.schres.2007.10.027
Wilson, B.B., & Walkey, F. (2015). The enlightenment scale: Further evidence for validity. //Journal for the Study of Spirituality, 5//(2), 128-142. https://doi.org/10.1179/2044024315Z.00000000046A
Boyd-Wilson, B.M., & Walkey, F.H. (2015). The enlightenment scale: A measure of being at peace and open-hearted. //Pastoral Psychology, 64//(3), 311-325. https://doi.org/10.1007/s11089-013-0586-9
Cheung, M. (2016). The intersection between mindfulness and human rights: The case of falun gong and its implications for social work. //Journal of Religion and Spirituality in Social Work, 35//(42737), 57-75. https://doi.org/10.1080/15426432.2015.1067586
Murphy, E.K., Tully, S., Pyle, M., Gumley, A.I., Kingdon, D., Schwannauer, M., ... & Morrison, A.P. (2017). The beliefs about paranoia scale: Confirmatory factor analysis and tests of a metacognitive model of paranoia in a clinical sample. //Psychiatry Research, 248//, 87-94. https://doi.org/10.1016/j.psychres.2016.11.012
Wong, A.W.S., & Chen, E.Y.H. (2015). Psychometric properties of translated outcome measures of cognitive behavioural therapy for psychosis in the chinese context. //Asian Journal of Psychiatry, 13//, 62-65. https://doi.org/10.1016/j.ajp.2014.09.005
Collip, D., Geschwind, N., Peeters, F., Myin-Germeys, I., van Os, J., & Wichers, M. (2013). Putting a hold on the downward spiral of paranoia in the social world: A randomized controlled trial of mindfulness-based cognitive therapy in individuals with a history of depression. //PLOS ONE, 8//(6). https://doi.org/10.1371/journal.pone.0066747
Nixon, G., Hagen, B., & Peters, T. (2010). Psychosis and transformation: A phenomenological inquiry. //International Journal of Mental Health and Addiction, 8//(4), 527-544. https://doi.org/10.1007/s11469-009-9231-3
McKie, A., Askew, K., & Dudley, R. (2017). An experimental investigation into the role of ruminative and mindful self-focus in non-clinical paranoia. //Journal of Behavior Therapy and Experimental Psychiatry, 54//, 170-177. https://doi.org/10.1016/j.jbtep.2016.07.014
Moritz, S., Cludius, B., Hottenrott, B., Schneider, B.C., Saathoff, K., Kuelz, A.K., ... & Gallinat, J. (2015). Mindfulness and relaxation treatment reduce depressive symptoms in individuals with psychosis. //European Psychiatry, 30//(6), 709-714. https://doi.org/10.1016/j.eurpsy.2015.05.002
Owen, M., Sellwood, W., Kan, S., Murray, J., & Sarsam, M. (2015). Group CBT for psychosis: A longitudinal, controlled trial with inpatients. //Behaviour Research and Therapy, 65//, 76-85. https://doi.org/10.1016/j.brat.2014.12.008
Turkington, D., Wright, N.P., & Tai, S. (2013). Advances in cognitive behavior therapy for psychosis. //International Journal of Cognitive Therapy, 6//(2), 150-170. https://doi.org/10.1521/ijct.2013.6.2.150
Xu, W., Rodriguez, M.A., Zhang, Q., & Liu, X.H. (2015). The mediating effect of self-acceptance in the relationship between mindfulness and peace of mind. //Mindfulness, 6//(4), NA-802. https://doi.org/10.1007/s12671-014-0319-x
White, R.G., Gumley, A.I., McTaggart, J., Rattrie, L., McConville, D., Cleare, S., ... & Mitchell, G. (2013). Depression and Anxiety following psychosis: Associations with mindfulness and psychological flexibility. //Behavioural and Cognitive Psychotherapy, 41//(1), 34-51. https://doi.org/10.1017/S1352465812000239
Castilho, P., Martins, M.J., Pinto, A.M., Viegas, R., Carvalho, S., & Madeira, N. (2017). Understanding the effect of attachment styles in paranoid ideation: The mediator role of experiential avoidance. //Journal of Contextual Behavioral Science, 6//(1), 42-46. https://doi.org/10.1016/j.jcbs.2016.11.007
Ellett, L. (2013). Mindfulness for paranoid beliefs: Evidence from two case studies. //Behavioural and Cognitive Psychotherapy, 41//(2), 238-242. https://doi.org/10.1017/S1352465812000586
~~~~Zoeppritz, M. (2016). Peace education through emotional development in ECE. //He Kupu, 4//(4), 12-16.
Oliver, J.E., McLachlan, K., Jose, P.E., & Peters, E. (2012). Predicting changes in delusional ideation: The role of mindfulness and negative schemas. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(3), 243-259. https://doi.org/10.1111/j.2044-8341.2011.02025.x
Randal, C., Bucci, S., Morera, T., Barrett, M., & Pratt, D. (2016). Mindfulness-based cognitive therapy for psychosis: Measuring psychological change using repertory grids. //Clinical Psychology & Psychotherapy, 23//(6), 496-508. https://doi.org/10.1002/cpp.1966
Chadwick, P., Hember, M., Symes, J., Peters, E., Kuipers, E., & Dagnan, D. (2008). Responding mindfully to unpleasant thoughts and images: Reliability and validity of the southampton mindfulness questionnaire (SMQ). //British Journal of Clinical Psychology, 47//, 451-455. https://doi.org/10.1348/014466508X314891
Ariyabuddhiphongs, V., & Pratchawittayagorn, A. (2014). Peace of mind and organizational citizenship behavior the mediating effect of loving kindness. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 36//(2), 233-252. https://doi.org/10.1163/15736121-12341284
Liu, X.H., Xu, W., Wang, Y.Z., Williams, J.M.G., Geng, Y., Zhang, Q., ... & Liu, X. (2015). Can inner peace be improved by mindfulness training: A randomized controlled trial. //Stress and Health, 31//(3), 245-254. https://doi.org/10.1002/smi.2551
Jansen, J.E., & Morris, E.M.J. (2017). Acceptance and commitment therapy for posttraumatic stress disorder in early psychosis: A case series. //Cognitive and Behavioral Practice, 24//(2), 187-199. https://doi.org/10.1016/j.cbpra.2016.04.003
Abba, N., Chadwick, P., & Stevenson, C. (2008). Responding mindfully to distressing psychosis: A grounded theory analysis. //Psychotherapy Research, 18//(1), 77-87. https://doi.org/10.1080/10503300701367992
Jaffe, A.E., Schreier, A., & DiLillo, D. (2017). Feasibility and initial evaluation of project peace: An intervention for college students at risk for dating violence. //Partner Abuse, 8//(3), 291-314. https://doi.org/10.1891/1946-6560.8.3.291
Johns, L.C., Oliver, J.E., Khondoker, M., Byrne, M., Jolley, S., Wykes, T., ... & Morris, E.M.J. (2016). The feasibility and acceptability of a brief acceptance and commitment therapy (act) group intervention for people with psychosis: The 'act for life' study. //Journal of Behavior Therapy and Experimental Psychiatry, 50//, 257-263. https://doi.org/10.1016/j.jbtep.2015.10.001
White, R., Gumley, A., McTaggart, J., Rattrie, L., McConville, D., Cleare, S., ... & Mitchell, G. (2011). A feasibility study of acceptance and commitment therapy for emotional dysfunction following psychosis. //Behaviour Research and Therapy, 49//(12), 901-907. https://doi.org/10.1016/j.brat.2011.09.003
Martins, M.J.R.V., Castilho, P., Carvalho, C.B., Pereira, A.T., Santos, V., Gumley, A., ... & de Macedo, A.F. (2017). Contextual cognitive-behavioral therapies across the psychosis continuum a review of evidence for schizophrenia, schizoaffective and bipolar disorders. //European Psychologist, 22//(2), 83-100. https://doi.org/10.1027/1016-9040/a000283
Brockman, R., Kiernan, M., & Murrell, E. (2015). Psychometric properties of two brief versions of the voices acceptance and action scale (vaas): Implications for the second-wave and third-wave behavioural and cognitive approaches to auditory hallucinations. //Clinical Psychology & Psychotherapy, 22//(5), 450-459. https://doi.org/10.1002/cpp.1916
Gaudiano, B.A., Busch, A.M., Wenze, S.J., Nowlan, K., Epstein-Lubow, G., & Miller, I.W. (2015). Acceptance-based behavior therapy for depression with psychosis: Results from a pilot feasibility randomized controlled trial. //Journal of Psychiatric Practice, 21//(5), 320-333. https://doi.org/10.1097/PRA.0000000000000092
Dyga, K., & Stupak, R. (2015). Meditation and psychosis: Trigger or cure?. //Archives of Psychiatry and Psychotherapy, 17//(3), 48-58. https://doi.org/10.12740/APP/58976
Ashcroft, K., Barrow, F., Lee, R., & MacKinnon, K. (2012). Mindfulness groups for early psychosis: A qualitative study. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(3), 327-334. https://doi.org/10.1111/j.2044-8341.2011.02031.x
Langer, A.I., Cangas, A.J., Salcedo, E., & Fuentes, B. (2012). Applying mindfulness therapy in a group of psychotic individuals: A controlled study. //Behavioural and Cognitive Psychotherapy, 40//(1), 105-109. https://doi.org/10.1017/S1352465811000464
Davis, M.C., Zautra, A.J., Wolf, L.D., Tennen, H., & Yeung, E.W. (2015). Mindfulness and cognitive-behavioral interventions for chronic pain: Differential effects on daily pain reactivity and stress reactivity. //Journal of Consulting and Clinical Psychology, 83//(1), 24-35. https://doi.org/10.1037/a0038200
Palmier-Claus, J., Shryane, N., Taylor, P., Lewis, S., & Drake, R. (2013). Mood variability predicts the course of suicidal ideation in individuals with first and second episode psychosis. //Psychiatry Research, 206//(42769), 240-245. https://doi.org/10.1016/j.psychres.2012.11.014
Chadwick, P., Hughes, S., Russell, D., Russell, I., & Dagnan, D. (2009). Mindfulness groups for distressing voices and paranoia: A replication and randomized feasibility trial. //Behavioural and Cognitive Psychotherapy, 37//(4), 403-412. https://doi.org/10.1017/S1352465809990166
Tong, A.C.Y., Lin, J.J.X., Cheung, V.Y.K., Lau, N.K.M., Chang, W.C., Chan, S.K., ... & Chen, E.Y.H. (2016). A low-intensity mindfulness-based intervention for mood symptoms in people with early psychosis: Development and pilot evaluation. //Clinical Psychology & Psychotherapy, 23//(6), 550-560. https://doi.org/10.1002/cpp.1981
Langer, A.I., Schmidt, C., Mayol, R., Diaz, M., Lecaros, J., Krogh, E., ... & Gaspar, P.A. (2017). The effect of a mindfulness-based intervention in cognitive functions and psychological well-being applied as an early intervention in schizophrenia and high-risk mental state in a chilean sample: Study protocol for a randomized controlled trial. //Trials, 18//233. https://doi.org/10.1186/s13063-017-1967-7
Jansen, J.E., Haahr, U.H., Lyse, H.G., Pedersen, M.B., Trauelsen, A.M., & Simonsen, E. (2017). Psychological flexibility as a buffer against caregiver distress in families with psychosis. //Frontiers in Psychology, 8//, 1625. https://doi.org/10.3389/fpsyg.2017.01625
[img[tps57.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Burks, D.J., & Kobus, A.M. (2012). The legacy of altruism in health care: The promotion of empathy, prosociality and humanism. //Medical Education, 46//(3), 317-325. https://doi.org/10.1111/j.1365-2923.2011.04159.x
Chen, A.K., Kumar, A., & Haramati, A. (2016). The effect of mind body medicine course on medical student empathy: A pilot study. //Medical Education Online, 21//, 31196. https://doi.org/10.3402/meo.v21.31196
Horsthemke, K. (2015). Epistemic empathy in childrearing and education. //Ethics and Education, 10//(1), 61-72. https://doi.org/10.1080/17449642.2014.998025
Trent, N.L., Park, C., Bercovitz, K., & Chapman, I.M. (2016). Trait socio-cognitive mindfulness is related to affective and cognitive empathy. //Journal of Adult Development, 23//(1), 62-67. https://doi.org/10.1007/s10804-015-9225-2
Challita, M. (2016). From empathic mind to moral behaviour: The "who", "why" and "how". //Medicine Health Care and Philosophy, 19//(4), 517-522. https://doi.org/10.1007/s11019-016-9694-5
Van Doesum, N.J., Tybur, J.M., & Van Lange, P.A.M. (2017). Class impressions: Higher social class elicits lower prosociality. //Journal of Experimental Social Psychology, 68//, 11-20. https://doi.org/10.1016/j.jesp.2016.06.001
Zeng, X.L., Chan, V.Y.L., Oei, T.P.S., Leung, F.Y.K., & Liu, X.P. (2017). Appreciative joy in Buddhism and positive empathy in psychology: How do they differ?. //Mindfulness, 8//(5), 1184-1194. https://doi.org/10.1007/s12671-017-0690-5
Keeman, A., Naswall, K., Malinen, S., & Kuntz, J. (2017). Employee wellbeing: Evaluating a wellbeing intervention in two settings. //Frontiers in Psychology, 8//, 505. https://doi.org/10.3389/fpsyg.2017.00505
Block-Lerner, J., Adair, C., Plumb, J.C., Rhatigan, D.L., & Orsillo, S.M. (2007). The case for mindfulness-based approaches in the cultivation of empathy: Does nonjudgmental, present-moment awareness increase capacity for perspective-taking and empathic concern?. //Journal of Marital and Family Therapy, 33//(4), 501-516. https://doi.org/10.1111/j.1752-0606.2007.00034.x
Benzo, R.P., Abascal-Bolado, B., & Dulohery, M.M. (2016). Self-management and quality of life in chronic obstructive pulmonary disease (COPD): The mediating effects of positive affect. //Patient Education and Counseling, 99//(4), 617-623. https://doi.org/10.1016/j.pec.2015.10.031
O'Reilly, G., Coyle, D., & Tunney, C. (2016). Even Buddhist monks use a gong: A mindfulness skills programme for young people delivered through the "mindful gnats" computer game and app.. //International Journal of Game-based Learning, 6//(4), 39-51. https://doi.org/10.4018/IJGBL.2016100103
Gerdes, K.E., Segal, E.A., Jackson, K.F., & Mullins, J.L. (2011). Teaching empathy: A framework rooted in social cognitive neuroscience and social justice. //Journal of Social Work Education, 47//(1), 109-131. https://doi.org/10.5175/JSWE.2011.200900085
Schirda, B., Nicholas, J.A., & Prakash, R.S. (2015). Examining trait mindfulness, emotion dysregulation, and quality of life in multiple sclerosis. //Health Psychology, 34//(11), 1107-1115. https://doi.org/10.1037/hea0000215
Birnie, K., Speca, M., & Carlson, L.E. (2010). Exploring self-compassion and empathy in the context of mindfulness-based stress reduction (MBSR). //Stress and Health, 26//(5), 359-371. https://doi.org/10.1002/smi.1305
Lima, S., Gago, M., Garrett, C., & Pereira, M.G. (2016). Predictors and moderators of quality of life in Alzheimer's disease patients. //Journal of Alzheimers Disease, 54//(3), 1113-1121. https://doi.org/10.3233/JAD-160256
Ridderinkhof, A., de Bruin, E.I., Brummelman, E., & Bogels, S.M. (2017). Does mindfulness meditation increase empathy? An experiment. //Self and Identity, 16//(3), 251-269. https://doi.org/10.1080/15298868.2016.1269667
Sahdra, B.K., Ciarrochi, J., Parker, P.D., Marshall, S., & Heaven, P. (2015). Empathy and nonattachment independently predict peer nominations of prosocial behavior of adolescents. //Frontiers in Psychology, 6//,263. https://doi.org/10.3389/fpsyg.2015.00263
Kreutzer, C.P., & Bowers, C.A. (2016). Making games for health engaging: The influence of cognitive skills. //Games for Health Journal, 5//(1), 21-26. https://doi.org/10.1089/g4h.2015.0048
Ekman, E., & Krasner, M. (2017). Empathy in medicine: Neuroscience, education and challenges. //Medical Teacher, 39//(2), 164-173. https://doi.org/10.1080/0142159X.2016.1248925
Mason, V.L., Mathias, B., & Skevington, S.M. (2008). Accepting low back pain: Is it related to a good quality of life?. //Clinical Journal of Pain, 24//(1), 22-29. https://doi.org/10.1097/AJP.0b013e318156d94f
Winning, A.P., & Boag, S. (2015). Does brief mindfulness training increase empathy? The role of personality. //Personality and Individual Differences, 86//, 492-498. https://doi.org/10.1016/j.paid.2015.07.011
Duarte, J., Pinto-Gouveia, J., & Cruz, B. (2016). Relationships between nurses' empathy, self-compassion and dimensions of professional quality of life: A cross-sectional study. //International Journal of Nursing Studies, 60//, 1-11. https://doi.org/10.1016/j.ijnurstu.2016.02.015
Tunney, C., Cooney, P., Coyle, D., & O'Reilly, G. (2017). Comparing young people's experience of technology-delivered v. face-to-face mindfulness and relaxation: Two-armed qualitative focus group study. //British Journal of Psychiatry, 210//(4), 284-289. https://doi.org/10.1192/bjp.bp.115.172783
Densham, S., Williams, D., Johnson, A., & Turner-Cobb, J.M. (2016). Enhanced psychological flexibility and improved quality of life in chronic fatigue syndrome/myalgic encephalomyelitis. //Journal of Psychosomatic Research, 88//, 42-47. https://doi.org/10.1016/j.jpsychores.2016.07.009
Li, W., Garland, E.L., McGovern, P., O'Brien, J.E., Tronnier, C., & Howard, M.O. (2017). Mindfulness-oriented recovery enhancement for internet gaming disorder in us adults: A stage I randomized controlled trial. //Psychology of Addictive Behaviors, 31//(4), 393-402. https://doi.org/10.1037/adb0000269
Vugts, M.A.P., Joosen, M.C.W., Mert, A., Zedlitz, A., & Vrijhoef, H.J.M. (2017). Serious gaming during multidisciplinary rehabilitation for patients with complex chronic pain or fatigue complaints: Study protocol for a controlled trial and process evaluation. //BMJ Open, 7//(6). https://doi.org/10.1136/bmjopen-2017-016394
Hart, T. (1999). The refinement of empathy. //Journal of Humanistic Psychology, 39//(4), 111-125. https://doi.org/10.1177/0022167899394007
Wallmark, E., Safarzadeh, K., Daukantaite, D., & Maddux, R.E. (2013). Promoting altruism through meditation: An 8-week randomized controlled pilot study. //Mindfulness, 4//(3), 223-234. https://doi.org/10.1007/s12671-012-0115-4
Fordham, B., Griffiths, C.E.M., & Bundy, C. (2015). A pilot study examining mindfulness-based cognitive therapy in psoriasis. //Psychology Health & Medicine, 20//(1), 121-127. https://doi.org/10.1080/13548506.2014.902483
Rayan, A., & Ahmad, M. (2016). Effectiveness of mindfulness-based interventions on quality of life and positive reappraisal coping among parents of children with autism spectrum disorder. //Research in Developmental Disabilities, 55//, 185-196. https://doi.org/10.1016/j.ridd.2016.04.002
Mullins, J.L. (2011). A framework for cultivating and increasing child welfare workers' empathy toward parents. //Journal of Social Service Research, 37//(3), 242-253. https://doi.org/10.1080/01488376.2011.564030
Singh, A., Sengupta, S., & Sharma, S. (2016). Empathy and mindfulness: Potential antecedents to authentic leadership. //International Journal of Human Capital and Information Technology Professionals, 7//(4), 1-14. https://doi.org/10.4018/IJHCITP.2016100101
Welp, L.R., & Brown, C.M. (2014). Self-compassion, empathy, and helping intentions. //Journal of Positive Psychology, 9//(1), 54-65. https://doi.org/10.1080/17439760.2013.831465
Cacciatore, J., Thieleman, K., Killian, M., & Tavasolli, K. (2015). Braving human suffering: Death education and its relationship to empathy and mindfulness. //Social Work education, 34//(1), 91-109. https://doi.org/10.1080/02615479.2014.940890
Pollard, A., Burchell, J.L., Castle, D., Neilson, K., Ftanou, M., Corry, J., ... & Couper, J. (2017). Individualised mindfulness-based stress reduction for head and neck cancer patients undergoing radiotherapy of curative intent: A descriptive pilot study. //European Journal of Cancer Care, 26//(2). https://doi.org/10.1111/ecc.12474
Van Doesum, N.J., Van Lange, D.A.W., & Van Lange, P.A.M. (2013). Social mindfulness: Skill and will to navigate the social world. //Journal of Personality and Social Psychology, 105//(1), 86-103. https://doi.org/10.1037/a0032540
Kristeller, J.L., & Johnson, T. (2005). Science looks at spirituality - cultivating loving kindness: A two-stage model of the effects of meditation on empathy, compassion, and altruism. //Zygon, 40//(2), 391-407. https://doi.org/10.1111/j.1467-9744.2005.00671.x
Bond, A.R., Mason, H.F., Lemaster, C.M., Shaw, S.E., Mullin, C.S., Holick, E.A., ... & Saper, R.B. (2013). Embodied health: The effects of a mind-body course for medical students. //Medical Education Online, 18//, 20699. https://doi.org/10.3402/meo.v18i0.20699
Laneri, D., Krach, S., Paulus, F.M., Kanske, P., Schuster, V., Sommer, J., ... & Muller-Pinzler, L. (2017). Mindfulness meditation regulates anterior insula activity during empathy for social pain. //Human Brain Mapping, 38//(8), 4034-4046. https://doi.org/10.1002/hbm.23646
Runyan, C., Savageau, J.A., Potts, S., & Weinreb, L. (2016). Impact of a family medicine resident wellness curriculum: A feasibility study. //Medical Education Online, 21//, 30648. https://doi.org/10.3402/meo.v21.30648
Lord, S.A. (2013). Meditative dialogue: Cultivating compassion and empathy with survivors of complex childhood trauma. //Journal of Aggression Maltreatment & Trauma, 22//(9), 997-1014. https://doi.org/10.1080/10926771.2013.834018
Beddoe, A.E., & Murphy, S.O. (2004). Does mindfulness decrease stress and foster empathy among nursing students?. //Journal of Nursing Education, 43//(7), 305-312. https://doi.org/10.3928/01484834-20040701-07
Yazdanimehr, R., Omidi, A., Akbari, H., & Sadat, Z. (2017). Mindfulness training and quality of life among pregnant women: A randomized clinical trial. //Nursing and Midwifery Studies, 6//(2). https://doi.org/10.5812/nmsjournal.32570
Leppma, M., & Young, M.E. (2016). Loving-kindness meditation and empathy: A wellness group intervention for counseling students. //Journal of Counseling and Development, 94//(3), 297-305. https://doi.org/10.1002/jcad.12086
Rayan, A.H.R. (2017). Mindfulness, quality of life, and severity of depressive symptoms among patients with schizophrenia and patients with major depressive disorder. //Journal of Psychosocial Nursing and Mental Health Services, 55//(5), 40-50. https://doi.org/10.3928/02793695-20170420-05
Andersen, D.T. (2005). Empathy, psychotherapy integration, and meditation: A Buddhist contribution to the common factors movement. //Journal of Humanistic Psychology, 45//(4), 483-502. https://doi.org/10.1177/0022167805280264
Sproule, J., Ollis, S., Gray, S., Thorburn, M., Allison, P., & Horton, P. (2011). Promoting perseverance and challenge in physical education: The missing ingredient for improved games teaching. //Sport Education and Society, 16//(5), 665-684. https://doi.org/10.1080/13573322.2011.601149
Cillessen, L., van de Ven, M.O., & Karremans, J.C. (2017). The role of trait mindfulness in quality of life and asthma control among adolescents with asthma. //Journal of Psychosomatic Research, 99//, 143-148. https://doi.org/10.1016/j.jpsychores.2017.06.014
Chanler, A. (2017). Mindfulness meets enmeshment: Disentangling without detaching with embodied self-empathy as a guide. //Spirituality in Clinical Practice, 4//(2), 145-151. https://doi.org/10.1037/scp0000130
Lozada, M., D'Adamo, P., & Carro, N. (2014). Plasticity of altruistic behavior in children. //Journal of Moral Education, 43//(1), 75-88. https://doi.org/10.1080/03057240.2013.878244
Rupp, M.A., Sweetman, R., Sosa, A.E., Smither, J.A., & McConnell, D.S. (2017). Searching for affective and cognitive restoration: Examining the restorative effects of casual video game play. //Human Factors, 59//(7), 1096-1107. https://doi.org/10.1177/0018720817715360
Parameshwaran, R. (2015). Theory and practice of chaplain's spiritual care process: A psychiatrist's experiences of chaplaincy and conceptualizing trans-personal model of mindfulness. //Indian Journal of Psychiatry, 57//(1), 21-29. https://doi.org/10.4103/0019-5545.148511
Sundling, V., Sundler, A.J., Holmstrom, I.K., Kristensen, D.V., & Eide, H. (2017). Mindfulness predicts student nurses' communication self-efficacy: A cross-national comparative study. //Patient Education and Counseling, 100//(8), 1558-1563. https://doi.org/10.1016/j.pec.2017.03.016
Galantino, M.L., Baime, M., Maguire, M., Szapary, P.O., & Farrar, J.T. (2005). Short communication: Association of psychological and physiological measures of stress in health-care professionals during an 8-week mindfulness meditation program: Mindfulness in practice. //Stress and Health, 21//(4), 255-261. https://doi.org/10.1002/smi.1062
Bohecker, L., & Horn, E.A.D. (2016). Increasing students' empathy and counseling self-efficacy through a mindfulness experiential small group. //Journal for Specialists in Group Work, 41//(4), 312-333. https://doi.org/10.1080/01933922.2016.1232322
Pagnini, F., Phillips, D., Bosma, C.M., Reece, A., & Langer, E. (2015). Mindfulness, physical impairment and psychological well-being in people with amyotrophic lateral sclerosis. //Psychology & Health, 30//(5), 503-517. https://doi.org/10.1080/08870446.2014.982652
Altschuler, A., Rosenbaum, E., Gordon, P., Canales, S., & Avins, A.L. (2012). Audio recordings of mindfulness-based stress reduction training to improve cancer patients' mood and quality of life-A pilot feasibility study. //Supportive Care in Cancer, 20//(6), 1291-1297. https://doi.org/10.1007/s00520-011-1216-7
Petchkovsky, L., Petchkovsky, M., Morris, P., Dickson, P., Montgomery, D., Dwyer, J., ... & Burnett, P. (2013). fMRI responses to Jung's word association test: Implications for theory, treatment and research. //Journal of Analytical Psychology, 58//(3), 409-431. https://doi.org/10.1111/1468-5922.12021
Aivaliotis, V.I., Lee, Y., Zia, J., Wassef, W., Abramson, M., & Park, W. (2017). Telephone-based mindfulness therapy intervention for patients with chronic pancreatitis. //Digestive Diseases and Sciences, 62//(2), 502-509. https://doi.org/10.1007/s10620-016-4389-6
Van der Gucht, K., Takano, K., Labarque, V., Vandenabeele, K., Nolf, N., Kuylen, S., ... & Raes, F. (2017). A mindfulness-based intervention for adolescents and young adults after cancer treatment: Effects on quality of life, emotional distress, and cognitive vulnerability. //Journal of Adolescent and Young Adult Oncology, 6//(2), 307-317. https://doi.org/10.1089/jayao.2016.0070
Schonert-Reichl, K.A., Oberle, E., Lawlor, M.S., Abbott, D., Thomson, K., Oberlander, T.F., ... & Diamond, A. (2015). Enhancing cognitive and social-emotional development through a simple-to-administer mindfulness-based school program for elementary school children: A randomized controlled trial. //Developmental Psychology, 51//(1), 52-66. https://doi.org/10.1037/a0038454
Seo, J.H., Sungkajun, A., Sanchez, T., & Suh, J. (2015). Touchology: Peripheral interactive plant design for well-being. //Interaction Design and Architectures, NA//(27), 175-187.
Wallace, B.A. (2001). Intersubjectivity in Indo-Tibetan Buddhism. //Journal of Consciousness Studies, 8//(42862), 209-230. https://psycnet.apa.org/record/2001-07704-012
Simpson, R., Mair, F.S., & Mercer, S.W. (2017). Mindfulness-based stress reduction for people with multiple sclerosis - A feasibility randomised controlled trial. //BMC Neurology, 17//, 94. https://doi.org/10.1186/s12883-017-0880-8
Eyles, C., Leydon, G.M., Hoffman, C.J., Copson, E.R., Prescott, P., Chorozoglou, M., ... & Lewith, G. (2015). Mindfulness for the self-management of fatigue, anxiety, and depression in women with metastatic breast cancer: A mixed methods feasibility study. //Integrative Cancer Therapies, 14//(1), 42-56. https://doi.org/10.1177/1534735414546567
Fulton, C.L., & Cashwell, C.S. (2015). Mindfulness-based awareness and compassion: Predictors of counselor empathy and anxiety. //Counselor Education and Supervision, 54//(2), 122-133. https://doi.org/10.1002/ceas.12009
Greenberg, M.T., & Turksma, C. (2015). Understanding and watering the seeds of compassion. //Research in Human Development, 12//(3-4), 280-287. https://doi.org/10.1080/15427609.2015.1068060
Flook, L., Goldberg, S.B., Pinger, L., & Davidson, R.J. (2015). Promoting prosocial behavior and self-regulatory skills in preschool children through a mindfulness-based kindness curriculum. //Developmental Psychology, 51//(1), 44-51. https://doi.org/10.1037/a0038256
Davidson, R., Dunne, J., Eccles, J.S., Engle, A., Greenberg, M., Jennings, P., ... & Vago, D. (2012). Contemplative practices and mental training: Prospects for American education. //Child Development perspectives, 6//(2), 146-153. https://doi.org/10.1111/j.1750-8606.2012.00240.x
Holthouser, B., & Bui, N.H. (2016). Meditative interventions and antisocial personality disorder. //Counselling Psychology Quarterly, 29//(3), 235-252. https://doi.org/10.1080/09515070.2015.1026311
Ahlskog, R. (2017). Moral enhancement should target self-interest and cognitive capacity. //Neuroethics, 10//(3), 363-373. https://doi.org/10.1007/s12152-017-9331-x
Gregg, M. (2003). A neglected history: Richard Hoggart's discourse of empathy. //Rethinking History, 7//(3), 285-306. https://doi.org/10.1080/0958517032000135265
Howie-Esquivel, J., Lee, J., Collier, G., Mehling, W., & Fleischmann, K. (2010). Yoga in heart failure patients: A pilot study. //Journal of Cardiac Failure, 16//(9), 742-749. https://doi.org/10.1016/j.cardfail.2010.04.011
Murray, G., Leitan, N.D., Berk, M., Thomas, N., Michalak, E., Berk, L., ... & Kyrios, M. (2015). Online mindfulness-based intervention for late-stage bipolar disorder: Pilot evidence for feasibility and effectiveness. //Journal of Affective Disorders, 178//, 46-51. https://doi.org/10.1016/j.jad.2015.02.024
Bueno, V.F., Kozasa, E.H., da Silva, M.A., Alves, T.M., Louza, M.R., & Pompeia, S. (2015). Mindfulness meditation improves mood, quality of life, and attention in adults with attention deficit hyperactivity disorder. //Biomed Research International//, 2015(15), 962857. http://dx.doi.org/10.1155/2015/962857
Asuero, A.M., Queralto, J.M., Pujol-Ribera, E., Berenguera, A., Rodriguez-Blanco, T., & Epstein, R.M. (2014). Effectiveness of a mindfulness education program in primary health care professionals: A pragmatic controlled trial. //Journal of Continuing Education in the Health Professions, 34//(1), 4-12. https://doi.org/10.1002/chp.21211
Perez-Bret, E., Altisent, R., & Rocafort, J. (2016). Definition of compassion in healthcare: A systematic literature review. //International Journal of Palliative Nursing, 22//(12), 599-606. https://doi.org/10.12968/ijpn.2016.22.12.599
Spahn, G., Choi, K.E., Kennemann, C., Ludtke, R., Franken, U., Langhorst, J., ... & Dobos, G.J. (2013). Can a multimodal mind-body program enhance the treatment effects of physical activity in breast cancer survivors with chronic tumor-associated fatigue? A randomized controlled trial. //Integrative Cancer Therapies, 12//(4), 291-300. https://doi.org/10.1177/1534735413492727
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., ... & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. //JAMA: Journal of the American Medical Association, 302//(12), 1284-1293. https://doi.org/10.1001/jama.2009.1384
Canlas, J.M., Miller, R.B., Busby, D.M., & Carroll, J.S. (2015). Same-race and interracial Asian-White couples: Relational and social contexts and relationship outcomes. //Journal of Comparative Family Studies, 46//(3), 307-328. https://www.jstor.org/stable/43613121
Grossman, P., Tiefenthaler-Gilmer, U., Raysz, A., & Kesper, U. (2007). Mindfulness training as an intervention for fibromyalgia: Evidence of postintervention and 3-year follow-up benefits in well-being. //Psychotherapy and Psychosomatics, 76//(4), 226-233. https://doi.org/10.1159/000101501
Nilsson, H. (2016). Socioexistential mindfulness: Bringing empathy and compassion into health care practice. //Spirituality in Clinical Practice, 3//(1), 22-31. https://doi.org/10.1037/scp0000092
Korterink, J.J., Ockeloen, L.E., Hilbink, M., Benninga, M.A., & Deckers-Kocken, J.M. (2016). Yoga therapy for abdominal pain-related functional gastrointestinal disorders in children: A randomized controlled trial. //Journal of Pediatric Gastroenterology and Nutrition, 63//(5), 481-487. https://doi.org/10.1097/MPG.0000000000001230
Levin, M.E., Luoma, J.B., Vilardaga, R., Lillis, J., Nobles, R., & Hayes, S.C. (2016). Examining the role of psychological inflexibility, perspective taking, and empathic concern in generalized prejudice. //Journal of Applied Social Psychology, 46//(3), 180-191. https://doi.org/10.1111/jasp.12355
Miyata, H., Okanoya, K., & Kawai, N. (2015). Mindfulness and psychological status of Japanese yoga practitioners: A cross-sectional study. //Mindfulness, 6//(3), 560-571. https://doi.org/10.1007/s12671-014-0288-0
Lim, D., Condon, P., & DeSteno, D. (2015). Mindfulness and compassion: An examination of mechanism and scalability. //PLOS ONE, 10//(2), e0118221. https://doi.org/10.1371/journal.pone.0118221
Henning, M.A., Krageloh, C., Thompson, A., Sisley, R., Doherty, I., & Hawken, S.J. (2015). Religious affiliation, quality of life and academic performance: New Zealand medical students. //Journal of Religion & Health, 54//(1), 3-19. https://doi.org/10.1007/s10943-013-9769-z
Kirk, U., Downar, J., & Montague, P.R. (2011). Interoception drives increased rational decision-making in meditators playing the ultimatum game. //Frontiers in Neuroscience, 5//, 49. https://doi.org/10.3389/fnins.2011.00049
Kemper, K.J., Gascon, G., & Mahan, J.D. (2015). Two new scales for integrative medical education and research: Confidence in providing calm, compassionate care scale (CCCS) and self-efficacy in providing non-drug therapies (SEND) to relieve common symptoms. //European Journal of Integrative Medicine, 7//(4), 389-395. https://doi.org/10.1016/j.eujim.2014.10.010
Stafford, L., Thomas, N., Foley, E., Judd, F., Gibson, P., Komiti, A., ... & Kiropoulos, L. (2015). Comparison of the acceptability and benefits of two mindfulness-based interventions in women with breast or gynecologic cancer: A pilot study. //Supportive Care in Cancer, 23//(4), 1063-1071. https://doi.org/10.1007/s00520-014-2442-6
Hunsinger, M., Livingston, R., & Isbell, L. (2014). Spirituality and intergroup harmony: Meditation and racial prejudice. //Mindfulness, 5//(2), 139-144. https://doi.org/10.1007/s12671-012-0159-5
[img[tps58.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
de Bloom, J., Sianoja, M., Korpela, K., Tuomisto, M., Lilja, A., Geurts, S., ... & Kinnunen, U. (2017). Effects of park walks and relaxation exercises during lunch breaks on recovery from job stress: Two randomized controlled trials. //Journal of Environmental Psychology, 51//, 14-30. https://doi.org/10.1016/j.jenvp.2017.03.006
Rupp, M.A., Sweetman, R., Sosa, A.E., Smither, J.A., & McConnell, D.S. (2017). Searching for affective and cognitive restoration: Examining the restorative effects of casual video game play. //Human Factors, 59//(7), 1096-1107. https://doi.org/10.1177/0018720817715360
Duvall, J. (2012). A comparison of engagement strategies for encouraging outdoor walking. //Journal of Physical Activity & Health, 9//(1), 62-70. https://doi.org/10.1123/jpah.9.1.62
Parikh, S.V., Segal, Z.V., Grigoriadis, S., Ravindran, A.V., Kennedy, S.H., Lam, R.W., ... & Patten, S.B. (2009). Canadian network for mood and anxiety treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. II. Psychotherapy alone or in combination with antidepressant medication. //Journal of Affective Disorders, 117//, S15-S25. https://doi.org/10.1016/j.jad.2009.06.042
Kozasa, E.H., Lacerda, S.S., Menezes, C., Wallace, B.A., Radvany, J., Mello, L.E.A.M., ... & Sato, J.R. (2015). Effects of a 9-day Shamatha Buddhist meditation retreat on attention, mindfulness and self-compassion in participants with a broad range of meditation experience. //Mindfulness, 6//(6), 1235-1241. https://doi.org/10.1007/s12671-015-0385-8
Sleeth, D.B. (2013). Three pillars of recovery: The role of integral love in clinical practice. //Journal of Humanistic Psychology, 53//(1), 5-25. https://doi.org/10.1177/0022167811418360
Moffitt, R., & Mohr, P. (2015). The efficacy of a self-managed acceptance and commitment therapy intervention DVD for physical activity initiation. //British Journal of Health Psychology, 20//(1), 115-129. https://doi.org/10.1111/bjhp.12098
Razzaque, R., & Wood, L. (2016). Exploration of the effectiveness and acceptability of a professional mindfulness retreat for psychiatrists. //Mindfulness, 7//(2), 340-348. https://doi.org/10.1007/s12671-015-0443-2
Cohen, J., Jensen, D., Stange, J., Neuburger, M., & Heimberg, R.G. (2017). The immediate and long-term effects of an intensive meditation retreat. //Mindfulness, 8//(4), 1064-1077. https://doi.org/10.1007/s12671-017-0682-5
Pidgeon, A.M., Ford, L., & Klaassen, F. (2014). Evaluating the effectiveness of enhancing resilience in human service professionals using a retreat-based mindfulness with metta training program: A randomised control trial. //Psychology Health & Medicine, 19//(3), 355-364. https://doi.org/10.1080/13548506.2013.806815
Michalak, J., Troje, N.F., & Heidenreich, T. (2011). The effects of mindfulness-based cognitive therapy on depressive gait patterns. //Journal of Cognitive and Behavioral Psychotherapies, 11//(1), 13-27.
Jacobs, T.L., Epel, E.S., Lin, J., Blackburn, E.H., Wolkowitz, O.M., Bridwell, D.A., ... & Saron, C.D. (2011). Intensive meditation training, immune cell telomerase activity, and psychological mediators. //Psychoneuroendocrinology, 36//(5), 664-681. https://doi.org/10.1016/j.psyneuen.2010.09.010
Montero-Marin, J., Puebla-Guedea, M., Herrera-Mercadal, P., Cebolla, A., Soler, J., Demarzo, M., ... & Garcia-Campayo, J. (2016). Psychological effects of a 1-month meditation retreat on experienced meditators: The role of non-attachment. //Frontiers in Psychology, 7//, 1935. https://doi.org/10.3389/fpsyg.2016.01935
Gainey, A., Himathongkam, T., Tanaka, H., & Suksom, D. (2016). Effects of Buddhist walking meditation on glycemic control and vascular function in patients with type 2 diabetes. //Complementary Therapies in Medicine, 26//, 92-97. https://doi.org/10.1016/j.ctim.2016.03.009
Gotink, R.A., Hermans, K.S.F.M., Geschwind, N., De Nooij, R., De Groot, W.T., & Speckens, A.E.M. (2016). Mindfulness and mood stimulate each other in an upward spiral: A mindful walking intervention using experience sampling. //Mindfulness, 7//(5), 1114-1122. https://doi.org/10.1007/s12671-016-0550-8
Parikh, S.V., Quilty, L.C., Ravitz, P., Rosenbluth, M., Pavlova, B., Grigoriadis, S., ... & Uher, R. (2016). Canadian network for mood and anxiety treatments (canmat) 2016 clinical guidelines for the management of adults with major depressive disorder: Section 2. psychological treatments. //Canadian Journal of Psychiatry, 61//(9), 524-539. https://doi.org/10.1177/0706743716659418
Saggar, M., King, B.G., Zanesco, A.P., MacLean, K.A., Aichele, S.R., Jacobs, T.L., ... & Saron, C.D. (2012). Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity. //Frontiers in Human Neuroscience, 6//, 256. https://doi.org/10.3389/fnhum.2012.00256
Fujisato, H., Ito, M., Takebayashi, Y., Hosogoshi, H., Kato, N., Nakajima, S., ... & Berking, M. (2017). Reliability and validity of the Japanese version of the emotion regulation skills questionnaire. //Journal of Affective Disorders, 208//, 145-152. https://doi.org/10.1016/j.jad.2016.08.064
Saggar, M., Zanesco, A.P., King, B.G., Bridwell, D.A., MacLean, K.A., Aichele, S.R., ... & Miikkulainen, R. (2015). Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. //Neuroimage, 114//, 88-104. https://doi.org/10.1016/j.neuroimage.2015.03.073
Falkenstrom, F. (2010). Studying mindfulness in experienced meditators: A quasi-experimental approach. //Personality and Individual Differences, 48//(3), 305-310. https://doi.org/10.1016/j.paid.2009.10.022
Sandra, B.K., MacLean, K.A., Ferrer, E., Shaver, P.R., Rosenberg, E.L., Jacobs, T.L., ... & Saron, C.D. (2011). Enhanced response inhibition during intensive meditation training predicts improvements in self-reported adaptive socioemotional functioning. //Emotion, 11//(2), 299-312. https://doi.org/10.1037/a0022764
Cahn, B.R., Goodman, M.S., Peterson, C.T., Maturi, R., & Mills, P.J. (2017). Yoga, meditation and mind-body health: Increased BDNF, cortisol awakening response, and altered inflammatory marker expression after a 3-month yoga and meditation retreat. //Frontiers in Human Neuroscience, 11//, 315. https://doi.org/10.3389/fnhum.2017.00315
Jacobs, T.L., Shaver, P.R., Epel, E.S., Zanesco, A.P., Aichele, S.R., Bridwell, D.A., ... & Saron, C.D. (2013). Self-reported mindfulness and cortisol during a Shamatha meditation retreat. //Health Psychology, 32//(10), 1104-1109. https://doi.org/10.1037/a0031362
Alba, B. (2013). Loving-kindness meditation: A field study. //Contemporary Buddhism, 14//(2), 187-203. https://doi.org/10.1080/14639947.2013.832494
Braboszcz, C., Cahn, B.R., Balakrishnan, B., Maturi, R.K., Grandchamp, R., & Delorme, A. (2013). Plasticity of visual attention in Isha yoga meditation practitioners before and after a 3-month retreat. //Frontiers in Psychology, 4//, 914. https://doi.org/10.3389/fpsyg.2013.00914
Colley, K., Brown, C., & Montarzino, A. (2016). Restorative wildscapes at work: An investigation of the wellbeing benefits of greenspace at urban fringe business sites using "go-along' interviews. //Landscape Research, 41//(6). 598-615. https://doi.org/10.1080/01426397.2016.1197191
Mutz, M., & Muller, J. (2016). Mental health benefits of outdoor adventures: Results from two pilot studies. //Journal of Adolescence, 49//, 105-114. https://doi.org/10.1016/j.adolescence.2016.03.009
Ariyabuddhiphongs, V., & Pratchawittayagorn, A. (2014). Peace of mind and organizational citizenship behavior the mediating effect of loving kindness. //Archive for the Psychology of Religion, 36//(2), 233-252. https://doi.org/10.1163/15736121-12341284
Spahn, G., Choi, K.E., Kennemann, C., Ludtke, R., Franken, U., Langhorst, J., ... & Dobos, G.J. (2013). Can a multimodal mind-body program enhance the treatment effects of physical activity in breast cancer survivors with chronic tumor-associated fatigue? A randomized controlled trial. //Integrative Cancer Therapies, 12//(4), 291-300. https://doi.org/10.1177/1534735413492727
Hoffmann, F., Banzhaf, C., Kanske, P., Bermpohl, F., & Singer, T. (2016). Where the depressed mind wanders: Self-generated thought patterns as assessed through experience sampling as a state marker of depression. //Journal of Affective Disorders, 198//, 127-134. https://doi.org/10.1016/j.jad.2016.03.005
Jung, H.Y., Lee, H., & Park, J. (2015). Comparison of the effects of Korean mindfulness-based stress reduction, walking, and patient education in diabetes mellitus. //Nursing & Health Sciences, 17//(4), 516-525. https://doi.org/10.1111/nhs.12229
dos Santos, T.M., Kozasa, E.H., Carmagnani, I.S., Tanaka, L.H., Lacerda, S.S., & Nogueira-Martins, L.A. (2016). Positive effects of a stress reduction program based on mindfulness meditation in brazilian nursing professionals: Qualitative and quantitative evaluation. //Explore: The Journal of Science and Healing, 12//(2), 90-99. https://doi.org/10.1016/j.explore.2015.12.005
Lei, H., Zhang, X.C., Cai, L., Wang, Y.P., Bai, M., & Zhu, X.Z. (2014). Cognitive emotion regulation strategies in outpatients with major depressive disorder. //Psychiatry Research, 218//(42737), 87-92. https://doi.org/10.1016/j.psychres.2014.04.025
Beblo, T., Fernando, S., Klocke, S., Griepenstroh, J., Aschenbrenner, S., & Driessen, M. (2012). Increased suppression of negative and positive emotions in major depression. //Journal of Affective Disorders, 141//(2-3), 474-479.
https://doi.org/10.1016/j.jad.2012.03.019
Scott, C., & Tuana, N. (2016). An infused dialogue, part 2: The power of love without objectivity. //Journal of Speculative Philosophy, 30//(1), 15-26. https://doi.org/10.5325/jspecphil.30.1.0015
Kristeller, J.L., & Johnson, T. (2005). Science looks at spirituality - cultivating loving kindness: A two-stage model of the effects of meditation on empathy, compassion, and altruism. //Zygon, 40//(2), 391-407. https://doi.org/10.1111/j.1467-9744.2005.00671.x
Higgs, S., & Donohoe, J.E. (2011). Focusing on food during lunch enhances lunch memory and decreases later snack intake. //Appetite, 57//(1), 202-206. https://doi.org/10.1016/j.appet.2011.04.016
Blom, E.H., Duncan, L.G., Ho, T.C., Connolly, C.G., LeWinn, K.Z., Chesney, M., ... & Yang, T.T. (2014). The development of an RDoC-based treatment program for adolescent depression: “Training for Awareness, Resilience, and Action” (TARA). //Frontiers in Human Neuroscience, 8//, 630. https://doi.org/10.3389/fnhum.2014.00630
Jha, A.P., Krompinger, J., & Baime, M.J. (2007). Mindfulness training modifies subsystems of attention. //Cognitive Affective & Behavioral Neuroscience, 7//(2), 109-119. https://doi.org/10.3758/CABN.7.2.109
Sundararajan, L., & Fatemi, S.M. (2016). Creativity and symmetry restoration: Toward a cognitive account of mindfulness. //Journal of Theoretical and Philosophical Psychology, 36//(3), 131-141. https://doi.org/10.1037/teo0000027
Esch, T., & Stefano, G.B. (2005). Love promotes health. //Neuroendocrinology Letters, 26//(3), 264-267.
O'Brien, C., & Yule, E. (2016). Mindful of the intersession break in family therapy: The time to think experiment. //Australian and New Zealand Journal of Family Therapy, 37//(3), 342-361. https://doi.org/10.1002/anzf.1165
Osborne, N., & Grant-Smith, D. (2015). Supporting mindful planners in a mindless system: Limitations to the emotional turn in planning practice. //Town Planning Review, 86//(6), 677-698. https://doi.org/10.3828/tpr.2015.39
Wasylkiw, L., Holton, J., Azar, R., & Cook, W. (2015). The impact of mindfulness on leadership effectiveness in a health care setting: A pilot study. //Journal of Health Organization and Management, 29//(7), 893-911. https://doi.org/10.1108/JHOM-06-2014-0099
Kumari, V., Antonova, E., Wright, B., Hamid, A., Hernandez, E.M., Schmechtig, A., ... & Ettinger, U. (2017). The mindful eye: Smooth pursuit and saccadic eye movements in meditators and non-meditators. //Consciousness and Cognition, 48//, 66-75. https://doi.org/10.1016/j.concog.2016.10.008
[img[tps59.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
DelMonte, M.M. (2012). Mindfulness and awareness: Constructivist, psychodynamic and eastern perspectives. //International Journal of Mental Health and Addiction, 10//(3), 311-329. https://doi.org/10.1007/s11469-011-9368-8
Dehon, H., Laroi, F., & Van der Linden, M. (2011). The influence of encoding style on the production of false memories in the DRM paradigm: New insights on individual differences in false memory susceptibility?. //Personality and Individual Differences, 50//(5), 583-587. https://doi.org/10.1016/j.paid.2010.11.032
Jensen, M.L., Dinger, M., Wright, R.T., & Thatcher, J.B. (2017). Training to mitigate phishing attacks using mindfulness techniques. //Journal of Management Information Systems, 34//(2), 597-626. https://doi.org/10.1080/07421222.2017.1334499
Liang, L.D.H., Lian, H.W., Brown, D.J., Ferris, D.L., Hanig, S., & Keeping, L.M. (2016). Why are abusive supervisors abusive? A dual-system self-control model. //Academy of Management Journal, 59//(4), 1385-1406. https://doi.org/10.5465/amj.2014.0651
Billieux, J., D'Argembeau, A., Lewicki, P., & Van der Linden, M. (2009). A French adaptation of the Internal and External Encoding Style Questionnaire and its relationships with impulsivity. //European Review of Applied Psychology, 59//(1), 3-8. https://doi.org/10.1016/j.erap.2008.09.002
Rosenstreich, E., & Ruderman, L. (2017). A dual-process perspective on mindfulness, memory, and consciousness. //Mindfulness, 8//(2), 505-516. https://doi.org/10.1007/s12671-016-0627-4
Akin, A. (2010). Self-compassion and interpersonal cognitive distortions. //Hacettepe University Journal of Education, 39//, 1-9.
Trousselard, M., Steiler, D., Dutheil, F., Claverie, D., Canini, F., Fenouillet, F., ... & Franck, N. (2016). Validation of the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) in French psychiatric and general populations. //Psychiatry Research, 245//, 282-290. https://doi.org/10.1016/j.psychres.2016.08.050
Guiffrida, D. (2015). A constructive approach to counseling and psychotherapy supervision. //Journal of Constructivist Psychology, 28//(1), 40-52. https://doi.org/10.1080/10720537.2014.922911
Johansson, R., Hesser, H., Ljotsson, B., Frederick, R.J., & Andersson, G. (2012). Transdiagnostic, affect-focused, psychodynamic, guided self-help for depression and anxiety through the internet: Study protocol for a randomised controlled trial. //BMJ Open, 2//(6), e002167. https://doi.org/10.1136/bmjopen-2012-002167
Stafford, L., Foley, E., Judd, F., Gibson, P., Kiropoulos, L., & Couper, J. (2013). Mindfulness-based cognitive group therapy for women with breast and gynecologic cancer: A pilot study to determine effectiveness and feasibility. //Supportive Care in Cancer, 21//(11), 3009-3019. https://doi.org/10.1007/s00520-013-1880-x
Daniel, L., Borders, L.D., & Willse, J. (2015). The role of supervisors' and supervisees' mindfulness in clinical supervision. //Counselor Education and Supervision, 54//(3), 221-232. https://doi.org/10.1002/ceas.12015
Vaughn, L.A., Dubovi, A.S.Y., & Nino, N.P. (2013). Processing fluency affects behavior more strongly among people higher in trait mindfulness. //Journal of Research in Personality, 47//(6), 782-788. https://doi.org/10.1016/j.jrp.2013.08.002
Reb, J., Narayanan, J., & Chaturvedi, S. (2014). Leading mindfully: Two studies on the influence of supervisor trait mindfulness on employee well-being and performance. //Mindfulness, 5//(1), 36-45. https://doi.org/10.1007/s12671-012-0144-z
Evans, A., Crane, R., Cooper, L., Mardula, J., Wilks, J., Surawy, C., ... & Kuyken, W. (2015). A framework for supervision for mindfulness-based teachers: A space for embodied mutual inquiry. //Mindfulness, 6//(3), 572-581. https://doi.org/10.1007/s12671-014-0292-4
Canby, N.K., Cameron, I.M., Calhoun, A.T., & Buchanan, G.M. (2015). A brief mindfulness intervention for healthy college students and its effects on psychological distress, self-control, meta-mood, and subjective vitality. //Mindfulness, 6//(5), 1071-1081. https://doi.org/10.1007/s12671-014-0356-5
[img[tps6.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Faramarzi, M., Yazdani, S., & Barat, S. (2015). A RCT of psychotherapy in women with nausea and vomiting of pregnancy. //Human Reproduction, 30//(12), 2764-2773. https://doi.org/10.1093/humrep/dev248
O' Leary, K., Dockray, S., & Hammond, S. (2016). Positive prenatal well-being: Conceptualising and measuring mindfulness and gratitude in pregnancy. //Archives of Womens Mental Health, 19//(4), 665-673. https://doi.org/10.1007/s00737-016-0620-x
van den Heuvel, M.I., Johannes, M.A., Henrichs, J., & Van den Bergh, B.R.H. (2015). Maternal mindfulness during pregnancy and infant socio-emotional development and temperament: The mediating role of maternal anxiety. //Early Human Development, 91//(2), 103-108. https://doi.org/10.1016/j.earlhumdev.2014.12.003
Chan, K.P. (2014). Prenatal meditation influences infant behaviors. //Infant Behavior & Development, 37//(4), 556-561. https://doi.org/10.1016/j.infbeh.2014.06.011
Braeken, M.A.K.A., Jones, A., Otte, R.A., Nyklicek, I., & Van den Bergh, B.R.H. (2017). Potential benefits of mindfulness during pregnancy on maternal autonomic nervous system function and infant development. //Psychophysiology, 54//(2), 279-288. https://doi.org/10.1111/psyp.12782
Potharst, E.S., Aktar, E., Rexwinkel, M., Rigterink, M., & Bogels, S.M. (2017). Mindful with your baby: Feasibility, acceptability, and effects of a mindful parenting group training for mothers and their babies in a mental health context. //Mindfulness, 8//(5), 1236-1250. https://doi.org/10.1007/s12671-017-0699-9
Matvienko-Sikar, K., & Dockray, S. (2017). Effects of a novel positive psychological intervention on prenatal stress and well-being: A pilot randomised controlled trial. //Women and Birth, 30//(2), E111-E118. https://doi.org/10.1016/j.wombi.2016.10.003
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2016). Staying well during pregnancy and the postpartum: A pilot randomized trial of mindfulness-based cognitive therapy for the prevention of depressive relapse/recurrence. //Journal of Consulting and Clinical Psychology, 84//(2), 134-145. https://doi.org/10.1037/ccp0000068
van den Heuvel, M.I., Donkers, F.C.L., Winkler, I., Otte, R.A., & Van den Bergh, B.R.H. (2015). Maternal mindfulness and anxiety during pregnancy affect infants' neural responses to sounds. //Social Cognitive and Affective Neuroscience, 10//(3), 453-460. https://doi.org/10.1093/scan/nsu075
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2015). An open trial of mindfulness-based cognitive therapy for the prevention of perinatal depressive relapse/recurrence. //Archives of Women's Mental Health, 18//(1), 85-94. https://doi.org/10.1007/s00737-014-0468-x
Roberts, L.R., & Montgomery, S.B. (2016). Mindfulness-based intervention for perinatal grief in rural india: Improved mental health at 12months follow-up. //Issues in Mental Health Nursing, 37//(12), 942-951. https://doi.org/10.1080/01612840.2016.1236864
Tomfohr-Madsen, L.M., Campbell, T.S., Giesbrecht, G.F., Letourneau, N.L., Carlson, L.E., Madsen, J.W., ... & Dimidjian, S. (2016). Mindfulness-based cognitive therapy for psychological distress in pregnancy: Study protocol for a randomized controlled trial. //Trials, 17//,498. https://doi.org/10.1186/s13063-016-1601-0
Beales, D., Lutz, A., Thompson, J., Wand, B.M., & O'Sullivan, P. (2016). Disturbed body perception, reduced sleep, and kinesiophobia in subjects with pregnancy-related persistent lumbopelvic pain and moderate levels of disability: An exploratory study. //Manual Therapy, 21//, 69-75. https://doi.org/10.1016/j.math.2015.04.016
Malis, F.R., Meyer, T., & Gross, M.M. (2017). Effects of an antenatal mindfulness-based childbirth and parenting programme on the postpartum experiences of mothers: A qualitative interview study. //BMC Pregnancy and Childbirth, 17//,57. https://doi.org/10.1186/s12884-017-1240-9
Umylny, P., German, M., & Lantiere, A. (2017). Treating postpartum mood and anxiety disorders in primary care pediatrics. //Current Problems in Pediatric and Adolescent Health Care, 47//(10), 254-266. https://doi.org/10.1016/j.cppeds.2017.08.003
Vieten, C., & Astin, J. (2008). Effects of a mindfulness-based intervention during pregnancy on prenatal stress and mood: Results of a pilot study. //Archives of Women's Mental Health, 11//(1), 67-74. https://doi.org/10.1007/s00737-008-0214-3
Miklowitz, D.J., Semple, R.J., Hauser, M., Elkun, D., Weintraub, M.J., & Dimidjian, S. (2015). Mindfulness-based cognitive therapy for perinatal women with depression or bipolar spectrum disorder. //Cognitive Therapy and Research, 39//(5), 590-600. https://doi.org/10.1007/s10608-015-9681-9
O'Brien, M.L., Buikstra, E., Fallon, T., & Hegney, D. (2009). Strategies for success: A toolbox of coping strategies used by breastfeeding women. //Journal of Clinical Nursing, 18//(11), 1574-1582. https://doi.org/10.1111/j.1365-2702.2008.02667.x
Woolhouse, H., Mercuri, K., Judd, F., & Brown, S.J. (2014). Antenatal mindfulness intervention to reduce depression, anxiety and stress: A pilot randomised controlled trial of the //MindBabyBody// program in an Australian tertiary maternity hospital. //BMC Pregnancy and Childbirth, 14//,369. https://doi.org/10.1186/s12884-014-0369-z
Goodman, J.H., Guarino, A., Chenausky, K., Klein, L., Prager, J., Petersen, R., ... & Freeman, M. (2014). Calm pregnancy: Results of a pilot study of mindfulness-based cognitive therapy for perinatal anxiety. //Archives of Womens Mental Health, 17//(5), 373-387. https://doi.org/10.1007/s00737-013-0402-7
Bowen, A., Baetz, M., Schwartz, L., Balbuena, L., & Muhajarine, N. (2014). Antenatal group therapy improves worry and depression symptoms. //Israel Journal of Psychiatry and Related Sciences, 51//(3), 226-231. https://www.ncbi.nlm.nih.gov/pubmed/25618288
Coo, S., Milgrom, J., & Trinder, J. (2014). Mood and objective and subjective measures of sleep during late pregnancy and the postpartum period. //Behavioral Sleep Medicine, 12//(4), 317-330. https://doi.org/10.1080/15402002.2013.801348
Pickard, J.A., Townsend, M., Caputi, P., & Grenyer, B.F.S. (2017). Observing the influence of mindfulness and attachment styles through mother and infant interaction: A longitudinal study. //Infant Mental Health Journal, 38//(3), 343-350. https://doi.org/10.1002/imhj.21645
Beddoe, A.E., Lee, K.A., Weiss, S.J., Kennedy, H.P., & Yang, C.P.P. (2010). Effects of mindful yoga on sleep in pregnant women: A pilot study. //Biological Research for Nursing, 11//(4), 363-370. https://doi.org/10.1177/1099800409356320
Muthukrishnan, S., Jain, R., Kohli, S., & Batra, S. (2016). Effect of mindfulness meditation on perceived stress scores and autonomic function tests of pregnant Indian women. //Journal of Clinical and Diagnostic Research, 10//(4), CC5-CC8. https://doi.org/10.7860/JCDR/2016/16463.7679
Zhang, H.Y., & Emory, E.K. (2015). A mindfulness-based intervention for pregnant African-American women. //Mindfulness, 6//(3), 663-674. https://doi.org/10.1007/s12671-014-0304-4
Perez-Blasco, J., Viguer, P., & Rodrigo, M.F. (2013). Effects of a mindfulness-based intervention on psychological distress, well-being, and maternal self-efficacy in breast-feeding mothers: Results of a pilot study. //Archives of Women's Mental Health, 16//(3), 227-236. https://doi.org/10.1007/s00737-013-0337-z
Misri, S., Abizadeh, J., Sanders, S., & Swift, E. (2015). Perinatal generalized anxiety disorder: Assessment and treatment. //Journal of Women's Health, 24//(9),762-770. https://doi.org/10.1089/jwh.2014.5150
Veringa, I.K., de Bruin, E.I., Bardacke, N., Duncan, L.G., van Steensel, F.J.A., Dirksen, C.D., ... & Bogels, S.M. (2016). 'I've changed my mind', Mindfulness-based Childbirth and Parenting (MBCP) for pregnant women with a high level of fear of childbirth and their partners: Study protocol of the quasi-experimental controlled trial. //BMC Psychiatry, 16//,377. https://doi.org/10.1186/s12888-016-1070-8
Hutchinson, A.D., Charters, M., Prichard, I., Fletcher, C., & Wilson, C. (2017). Understanding maternal dietary choices during pregnancy: The role of social norms and mindful eating. //Appetite, 112//, 227-234. https://doi.org/10.1016/j.appet.2017.02.004
Matvienko-Sikar, K., Lee, L., Murphy, G., & Murphy, L. (2016). The effects of mindfulness interventions on prenatal well-being: A systematic review. //Psychology & Health, 31//(12), 1415-1434. https://doi.org/10.1080/08870446.2016.1220557
Cacciatore, J. (2013). Psychological effects of stillbirth. //Seminars in Fetal & Neonatal Medicine, 18//(2), 76-82. https://doi.org/10.1016/j.siny.2012.09.001
Laurent, H.K., Duncan, L.G., Lightcap, A., & Khan, F. (2017). Mindful parenting predicts mothers' and infants' hypothalamic-pituitary-adrenal activity during a dyadic stressor. //Developmental Psychology, 53//(3), 417-424. https://doi.org/10.1037/dev0000258
Thomas, M., Vieten, C., Adler, N., Ammondson, I., Coleman-Phox, K., Epel, E., ... & Laraia, B. (2014). Potential for a stress reduction intervention to promote healthy gestational weight gain: Focus groups with low-income pregnant women. //Womens Health Issues, 24//(3), E305-E311. https://doi.org/10.1016/j.whi.2014.02.004
Roberts, L.R., & Montgomery, S.B. (2015). Mindfulness-based intervention for perinatal grief after stillbirth in rural India. //Issues in Mental Health Nursing, 36//(3), 222-230. https://doi.org/10.3109/01612840.2014.962676
Congdon, J.L., Adler, N.E., Epel, E.S., Laraia, B.A., & Bush, N.R. (2016). A prospective investigation of prenatal mood and childbirth perceptions in an ethnically diverse, low-income sample. //Birth: Issues in Perinatal Care, 43//(2), 159-166. https://doi.org/10.1111/birt.12221
Beddoe, A.E., Yang, C.P.P., Kennedy, H.P., Weiss, S.J., & Lee, K.A. (2009). The effects of mindfulness-based yoga during pregnancy on maternal psychological and physical distress. //Journal of Obstetric Gynecologic and Neonatal Nursing, 38//(3), 310-319. https://doi.org/10.1111/j.1552-6909.2009.01023.x
Frazer, C., & Stathas, S.A. (2015). Mindfulness: Being present in the moment. //International Journal of Childbirth Education, 30//(2), 77-83. https://scholarworks.waldenu.edu/cgi/viewcontent.cgi?article=1052&context=sn_pubs
Hall, H.G., Beattie, J., Lau, R., East, C., & Biro, M.A. (2016). Mindfulness and perinatal mental health: A systematic review. //Women and Birth, 29//(1), 62-71. https://doi.org/10.1016/j.wombi.2015.08.006
Loree, A.M., Ondersma, S.J., & Grekin, E.R. (2017). Toward enhancing treatment for pregnant smokers: Laying the groundwork for the use of complementary and alternative medicine approaches. //Nicotine & Tobacco Research, 19//(5), 562-571. https://doi.org/10.1093/ntr/ntw262
Yamamoto, N., Naruse, T., Sakai, M., & Nagata, S. (2017). Relationship between maternal mindfulness and anxiety 1 month after childbirth. //Japan Journal of Nursing Science, 14//(4), 267-276. https://doi.org/10.1111/jjns.12157
Zilcha-Mano, S., & Langer, E. (2016). Mindful attention to variability intervention and successful pregnancy outcomes. //Journal of Clinical Psychology, 72//(9), 897-907. https://doi.org/10.1002/jclp.22294
Guardino, C.M., Schetter, C.D., Bower, J.E., Lu, M.C., & Smalley, S.L. (2014). Randomised controlled pilot trial of mindfulness training for stress reduction during pregnancy. //Psychology & Health, 29//(3), 334-349. https://doi.org/10.1080/08870446.2013.852670
Korukcu, O., & Kukulu, K. (2017). The effect of the mindfulness-based transition to motherhood program in pregnant women with preterm premature rupture of membranes. //Health Care for Women International, 38//(7), 765-785. https://doi.org/10.1080/07399332.2017.1318882
Hosseinian, S., Shahtaheri, E., Ebrahimi, M., Mahdavi, A., & Sepahvandi, M.A. (2016). Effectiveness of mindfulness-based cognitive therapy and metacognition therapy on reduction of symptoms of depression, core self-evaluation and emotion regulation difficulties in pregnant women with depression. //Acta Medica Mediterranea, 32//, 2031-2036.
Dimidjian, S., & Goodman, S.H. (2014). Preferences and attitudes toward approaches to depression relapse/recurrence prevention among pregnant women. //Behaviour Research and Therapy, 54//, 7-11. https://doi.org/10.1016/j.brat.2013.11.008
Felder, J.N., Segal, Z., Beck, A., Sherwood, N.E., Goodman, S.H., Boggs, J., ... & Dimidjian, S. (2017). An open trial of web-based mindfulness-based cognitive therapy for perinatal women at risk for depressive relapse. //Cognitive and Behavioral Practice, 24//(1), 26-37.
Duncan, L.G., & Bardacke, N. (2010). Mindfulness-based childbirth and parenting education: Promoting family mindfulness during the perinatal period. //Journal of Child and Family Studies, 19//(2), 190-202. https://doi.org/10.1007/s10826-009-9313-7
Sredl, D., & Aukamp, V. (2006). Evidence-based nursing care management for the pregnant woman with an ostomy. //Journal of Wound Ostomy and Continence Nursing, 33//(1), 42-49.
O' Leary, K., & Dockray, S. (2015). The effects of two novel gratitude and mindfulness interventions on well-being. //Journal of Alternative and Complementary Medicine, 21//(4), 243-245. https://doi.org/10.1089/acm.2014.0119
Yazdanimehr, R., Omidi, A., Akbari, H., & Sadat, Z. (2017). Mindfulness training and quality of life among pregnant women: A randomized clinical trial. //Nursing and Midwifery Studies, 6//(2),e32570. http://nmsjournal.kaums.ac.ir/article_65491.html
Shikatani, B., Antony, M.M., Kuo, J.R., & Cassin, S.E. (2014). The impact of cognitive restructuring and mindfulness strategies on postevent processing and affect in social anxiety disorder. //Journal of Anxiety Disorders, 28//(6), 570-579. https://doi.org/10.1016/j.janxdis.2014.05.012
Akerjordet, K., & Severinsson, E. (2010). Being in charge - new mothers' perceptions of reflective leadership and motherhood. //Journal of Nursing Management, 18//(4), 409-417. https://doi.org/10.1111/j.1365-2834.2010.01108.x
Apolzan, J.W., Myers, C.A., Cowley, A.D., Brady, H., Hsia, D.S., Stewart, T.M., ... & Martin, C.K. (2016). Examination of the reliability and validity of the mindful eating questionnaire in pregnant women. //Appetite, 100//, 142-151. https://doi.org/10.1016/j.appet.2016.02.025
Hakamata, Y., Iwase, M., Kato, T., Senda, K., & Inada, T. (2013). The neural correlates of mindful awareness: A possible buffering effect on anxiety-related reduction in subgenual anterior cingulate cortex activity. //PLOS ONE, 8//(10), e75526. https://doi.org/10.1371/journal.pone.0075526
[img[tps60.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Carciofo, R., Yang, J.Y., Song, N., Du, F., & Zhang, K. (2016). Psychometric evaluation of Chinese-language 44-item and 10-item Big Five personality inventories, including correlations with chronotype, mindfulness and mind wandering. //PLOS ONE, 11//(2). https://doi.org/10.1371/journal.pone.0149963
Fredborg, B., Clark, J., & Smith, S.D. (2017). An examination of personality traits associated with autonomous sensory meridian response (ASMR). //Frontiers in Psychology, 8//, 247. https://doi.org/10.3389/fpsyg.2017.00247
Kong, D.T. (2015). The role of mindfulness and neuroticism in predicting acculturative anxiety forecasting error. //Mindfulness, 6//(6), 1387-1400. https://doi.org/10.1007/s12671-015-0409-4
Goldberg, S.B., Flook, L., Hirshberg, M.J., Findley, D., Kesebir, P., Schaefer, S.M., ... & Davidson, R.J. (2017). Getting a grip on the handgrip task: Handgrip duration correlates with neuroticism but not conscientiousness. //Frontiers in Psychology, 8//, 1367. https://doi.org/10.3389/fpsyg.2017.01367
Schwager, I.T.L., Hulsheger, U.R., & Lang, J.W.B. (2016). Be aware to be on the square: Mindfulness and counterproductive academic behavior. //Personality and Individual Differences, 93//, 74-79. https://doi.org/10.1016/j.paid.2015.08.043
Sun, J.W., Xue, J.M., Bai, H.Y., Zhang, H.H., Lin, P.Z., & Cao, F.L. (2016). The association between negative life events, neuroticism and aggression in early adulthood. //Personality and Individual Differences, 102//, 139-144. https://doi.org/10.1016/j.paid.2016.06.066
Fetterman, A.K., Robinson, M.D., Ode, S., & Gordon, K.H. (2010). Neuroticism as a risk factor for behavioral dysregulation: A mindfulness-mediation perspective. //Journal of Social and Clinical Psychology, 29//(3), 301-321. http://psycnet.apa.org/doi/10.1521/jscp.2010.29.3.301
Lane, J.D., Seskevich, J.E., & Pieper, C.F. (2007). Brief meditation training can improve perceived stress and negative mood. //Alternative Therapies in Health and Medicine, 13//(1), 38-44.
Hanley, A.W. (2016). The mindful personality: Associations between dispositional mindfulness and the five factor model of personality. //Personality and Individual Differences, 91//, 154-158. https://doi.org/10.1016/j.paid.2015.11.054
Wenzel, M., von Versen, C., Hirschmuller, S., & Kubiak, T. (2015). Curb your neuroticism - mindfulness mediates the link between neuroticism and subjective well-being. //Personality and Individual Differences, 80//, 68-75. https://doi.org/10.1016/j.paid.2015.02.020
Sesker, A.A., Suilleabhain, P.O., Howard, S., & Hughes, B.M. (2016). Conscientiousness and mindfulness in midlife coping: An assessment based on midus ii. //Personality and Mental Health, 10//(1), 29-42. https://doi.org/10.1002/pmh.1323
Latzman, R.D., & Masuda, A. (2013). Examining mindfulness and psychological inflexibility within the framework of big five personality. //Personality and Individual Differences, 55//(2), 129-134. https://doi.org/10.1016/j.paid.2013.02.019
Teper, R., Tullett, A.M., Page-Gould, E., & Inzlicht, M. (2015). Errors in moral forecasting: Perceptions of affect shape the gap between moral behaviors and moral forecasts. //Personality and Social Psychology Bulletin, 41//(7), 887-900. https://doi.org/10.1177/0146167215583848
Armstrong, L., & Rimes, K.A. (2016). Mindfulness-based cognitive therapy for neuroticism (stress vulnerability): A pilot randomized study. //Behavior Therapy, 47//(3), 287-298. https://doi.org/10.1016/j.beth.2015.12.005
Heidemeier, H., & Goritz, A.S. (2016). The instrumental role of personality traits: Using mixture structural equation modeling to investigate individual differences in the relationships between the big five traits and life satisfaction. //Journal of Happiness Studies, 17//(6), 2595-2612. https://doi.org/10.1007/s10902-015-9708-7
Sobol-Kwapinska, M. (2016). Calm down - it's only neuroticism. time perspectives as moderators and mediators of the relationship between neuroticism and well-being. //Personality and Individual Differences, 94//, 64-71. https://doi.org/10.1016/j.paid.2016.01.004
Drake, M.M., Morris, M., & Davis, T.J. (2017). Neuroticism's susceptibility to distress: Moderated with mindfulness. //Personality and Individual Differences, 106//, 248-252. https://doi.org/10.1016/j.paid.2016.10.060
Tucker, R.P., O'Keefe, V.M., Cole, A.B., Rhoades-Kerswill, S., Hollingsworth, D.W., Helle, A.C., ... & Wingate, L.R. (2014). Mindfulness tempers the impact of personality on suicidal ideation. //Personality and Individual Differences, 68//, 229-233. https://doi.org/10.1016/j.paid.2014.05.001
Spinhoven, P., Huijbers, M.J., Ormel, J., & Speckens, A.E.M. (2017). Improvement of mindfulness skills during mindfulness-based cognitive therapy predicts long-term reductions of neuroticism in persons with recurrent depression in remission. //Journal of Affective Disorders, 213//, 112-117. https://doi.org/10.1016/j.jad.2017.02.011
de Vibe, M., Solhaug, I., Tyssen, R., Friborg, O., Rosenvinge, J.H., Sorlie, T., ... & Bjorndal, A. (2015). Does personality moderate the effects of mindfulness training for medical and psychology students?. //Mindfulness, 6//(2), 281-289. https://doi.org/10.1007/s12671-013-0258-y
Morledge, T.J., Allexandre, D., Fox, E., Fu, A.Z., Higashi, M.K., Kruzikas, D.T., ... & Reese, P.R. (2013). Feasibility of an online mindfulness program for stress management-a randomized, controlled trial. //Annals of Behavioral Medicine, 46//(2), 137-148. https://doi.org/10.1007/s12160-013-9490-x
Barnhofer, T., Duggan, D.S., & Griffith, J.W. (2011). Dispositional mindfulness moderates the relation between neuroticism and depressive symptoms. //Personality and Individual Differences, 51//(8), 958-962. https://doi.org/10.1016/j.paid.2011.07.032
Barratt, E.L., & Davis, N.J. (2015). Autonomous sensory meridian response (ASMR): A flow-like mental state. //PeerJ, 3//. https://doi.org/10.7717/peerj.851
Emanuel, A.S., Updegraff, J.A., Kalmbach, D.A., & Ciesla, J.A. (2010). The role of mindfulness facets in affective forecasting. //Personality and Individual Differences, 49//(7), 815-818. https://doi.org/10.1016/j.paid.2010.06.012
Taylor, B.L., Strauss, C., Cavanagh, K., & Jones, F. (2014). The effectiveness of self-help mindfulness-based cognitive therapy in a student sample: A randomised controlled trial. //Behaviour Research and Therapy, 63//, 63-69. https://doi.org/10.1016/j.brat.2014.09.007
[img[tps61.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Roche, M., & Haar, J.M. (2013). A metamodel approach towards self-determination theory: A study of New Zealand managers' organisational citizenship behaviours. //International Journal of Human Resource Management, 24//(18), 3397-3417. https://doi.org/10.1080/09585192.2013.770779
Peterson, B.D., & Eifert, G.H. (2011). Using Acceptance and Commitment Therapy to treat infertility stress. //Cognitive and Behavioral Practice, 18//(4), 577-587. https://doi.org/10.1016/j.cbpra.2010.03.004
Webb, J.R., Phillips, T.D., Bumgarner, D., & Conway-Williams, E. (2013). Forgiveness, mindfulness, and health. //Mindfulness, 4//(3), 235-245. https://doi.org/10.1007/s12671-012-0119-0
Ross, W.E., Huang, K.H.C., & Jones, G.H. (2014). Executive onboarding: Ensuring the success of the newly hired department chair. //Academic Medicine, 89//(5), 728-733. https://doi.org/10.1097/ACM.0000000000000214
Li, J., Long, L., Liu, Y., He, W., & Li, M. (2016). Effects of a mindfulness-based intervention on fertility quality of life and pregnancy rates among women subjected to first in vitro fertilization treatment. //Behaviour Research and Therapy, 77//, 96-104. https://doi.org/10.1016/j.brat.2015.12.010
Fointiat, V., Somat, A., & Grosbras, J.M. (2011). Saying, but not doing: Induced hypocrisy, trivialization, and misattribution. //Social Behavior and Personality, 39//(4), 465-475. https://doi.org/10.2224/sbp.2011.39.4.465
Fointiat, V., Morisot, V., & Pakuszewski, M. (2008). Effects of past transgressions in an induced hypocrisy paradigm. //Psychological Reports, 103//(2), 625-633. https://doi.org/10.2466/PR0.103.2.625-633
Galhardo, A., Cunha, M., & Pinto-Gouveia, J. (2013). Mindfulness-based program for infertility: Efficacy study. //Fertility and Sterility, 100//(4), 1059-1067. https://doi.org/10.1016/j.fertnstert.2013.05.036
Jeter, W.K., & Brannon, L.A. (2017). The effect of mindfulness and implementation planning on the process of granting and seeking forgiveness among young adults. //Mindfulness, 8//(5), 1304-1318. https://doi.org/10.1007/s12671-017-0706-1
Dickey, J., & Ungerleider, R. (2007). Managing the demands of professional life. //Cardiology in the Young, 17//, 138-144. https://doi.org/10.1017/S1047951107001242
Johns, K.N., Allen, E.S., & Gordon, K.C. (2015). The relationship between mindfulness and forgiveness of infidelity. //Mindfulness, 6//(6), 1462-1471. https://doi.org/10.1007/s12671-015-0427-2
Ruys, K.I., Aarts, H., Papies, E.K., Oikawa, M., & Oikawa, H. (2012). Perceiving an exclusive cause of affect prevents misattribution. //Consciousness and Cognition, 21//(2), 1009-1015. https://doi.org/10.1016/j.concog.2012.03.002
Dickerson, C.A., Thibodeau, R., Aronson, E., & Miller, D. (1992). Using cognitive-dissonance to encourage water conservation. //Journal of Applied Social Psychology, 22//(11), 841-854. https://doi.org/10.1111/j.1559-1816.1992.tb00928.x
Hanley, A.W., Warner, A.R., Dehili, V.M., Canto, A.I., & Garland, E.L. (2015). Washing dishes to wash the dishes: Brief instruction in an informal mindfulness practice. //Mindfulness, 6//(5), 1095-1103. https://doi.org/10.1007/s12671-014-0360-9
Deci, E.L., & Ryan, R.M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. //Canadian Psychology-psychologie Canadienne, 49//(3), 182-185. https://doi.org/10.1037/a0012801
Webb, J.R., Hirsch, J.K., & Toussaint, L. (2015). Forgiveness as a positive psychotherapy for addiction and suicide: Theory, research, and practice. //Spirituality in Clinical Practice, 2//(1), 48-60. https://doi.org/10.1037/scp0000054
Zhu, H.D. (2015). Social support and affect balance mediate the association between forgiveness and life satisfaction. //Social Indicators Research, 124//(2), 671–681. https://doi.org/10.1007/s11205-014-0790-8
Vollestad, J., Nielsen, M.B., & Nielsen, G.H. (2012). Mindfulness- and acceptance-based interventions for anxiety disorders: A systematic review and meta-analysis. //British Journal of Clinical Psychology, 51//, 239-260. https://doi.org/10.1111/j.2044-8260.2011.02024.x
[img[tps62.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Cohen, R.G., Gurfinkel, V.S., Kwak, E., Warden, A.C., & Horak, F.B. (2015). Lighten up: Specific postural instructions affect axial rigidity and step initiation in patients with parkinson's disease. //Neurorehabilitation and Neural Repair, 29//(9), 878-888. https://doi.org/10.1177/1545968315570323
Kerr, C.E., Agrawal, U., & Nayak, S. (2016). The effects of Tai Chi practice on intermuscular beta coherence and the rubber hand illusion. //Frontiers in Human Neuroscience, 10//, 37. https://doi.org/10.3389/fnhum.2016.00037
Lee, A.C., Harvey, W.F., Wong, J.B., Price, L.L., Han, X.Y., Chung, M., ... & Wang, C.C. (2017). Effects of Tai Chi versus physical therapy on mindfulness in knee osteoarthritis. //Mindfulness, 8//(5), 1195-1205. https://doi.org/10.1007/s12671-017-0692-3
Wang, C.C., Schmid, C.H., Rones, R., Kalish, R., Yinh, J., Goldenberg, D.L., ... & McAlindon, T. (2010). A randomized trial of Tai Chi for fibromyalgia. //New England Journal of Medicine, 363//(8), 743-754. https://doi.org/10.1056/NEJMoa0912611
Ghielen, I., van den Heuvel, O.A., de Goede, C.J.T., Houniet-de Gier, M., Collette, E.H., Burgers-Bots, I.A.L., ... & van Wegen, E.E.H. (2015). Beware: Body awareness training in the treatment of wearing-off related anxiety in patients with Parkinson's disease: Study protocol for a randomized controlled trial. //Trials, 16//, 283. https://doi.org/10.1186/s13063-015-0804-0
Delevoye-Turrell, Y.N., & Bobineau, C. (2012). Motor consciousness during intention-based and stimulus-based actions: Modulating attention resources through mindfulness meditation. //Frontiers in Psychology, 3//, 290. https://doi.org/10.3389/fpsyg.2012.00290
Converse, A.K., Ahlers, E.O., Travers, B.G., & Davidson, R.J. (2014). Tai Chi training reduces self-report of inattention in healthy young adults. //Frontiers in Human Neuroscience, 8//, 13. https://doi.org/10.3389/fnhum.2014.00013
Stanko-Kaczmarek, M., & Kaczmarek, L.D. (2016). Effects of tactile sensations during finger painting on mindfulness, emotions, and scope of attention. //Creativity Research Journal, 28//(3), 283-288. https://doi.org/10.1080/10400419.2016.1189769
Niles, B.L., Mori, D.L., Polizzi, C.P., Kaiser, A.P., Ledoux, A.M., & Wang, C.C. (2016). Feasibility, qualitative findings and satisfaction of a brief Tai Chi mind-body programme for veterans with post-traumatic stress symptoms. //BMJ Open, 6//(11), e012464. https://doi.org/10.1136/bmjopen-2016-012464
Burschka, J.M., Keune, P.M., Hofstadt-van Oy, U., Oschmann, P., & Kuhn, P. (2014). Mindfulness-based interventions in multiple sclerosis: Beneficial effects of Tai Chi on balance, coordination, fatigue and depression. //BMC Neurology, 14//, 165. https://doi.org/10.1186/s12883-014-0165-4
Zheng, G.H., Lan, X.L., Li, M.Y., Ling, K., Lin, H., Chen, L.D., ... & Fang, Q.Y. (2014). The effectiveness of Tai Chi on the physical and psychological well-being of college students: A study protocol for a randomized controlled trial. //Trials, 15//, 129. https://doi.org/10.1186/1745-6215-15-129
Arble, E., Lumley, M.A., Pole, N., Blessman, J., & Arnetz, B.B. (2017). Refinement and preliminary testing of an imagery-based program to improve coping and performance and prevent trauma among urban police officers. //Journal of Police and Criminal Psychology, 32//(1), 1-10. https://doi.org/10.1007/s11896-016-9191-z
Caldwell, K.L., Bergman, S.M., Collier, S.R., Triplett, N.T., Quin, R., Bergquist, J., ... & Pieper, C.F. (2016). Effects of Tai Chi Chuan on anxiety and sleep quality in young adults: Lessons from a randomized controlled feasibility study. //Nature and Science of Sleep, 8//, 305-314. https://doi.org/10.2147/NSS.S117392
Salmoirago-Blotcher, E., Wayne, P., Bock, B.C., Dunsiger, S., Wu, W.C., Stabile, L., ... & Yeh, G. (2015). Design and methods of the gentle cardiac rehabilitation study - A behavioral study of Tai Chi exercise for patients not attending cardiac rehabilitation. //Contemporary Clinical Trials, 43//, 243-251. https://doi.org/10.1016/j.cct.2015.06.020
Greenberg, J., Reiner, K., & Meiran, N. (2012). "Mind the trap": Mindfulness practice reduces cognitive rigidity. //PLOS ONE, 7//(5), e36206. https://doi.org/10.1371/journal.pone.0036206
Gryffin, P.A., & Chen, W.C. (2013). Implications of Tai Chi for smoking cessation. //Journal of Alternative and Complementary Medicine, 19//(2), 141-145. https://doi.org/10.1089/acm.2011.0094
Kerr, C.E., Shaw, J.R., Wasserman, R.H., Chen, V.W., Kanojia, A., Bayer, T., ... & Kelley, J.M. (2008). Tactile acuity in experienced Tai Chi practitioners: Evidence for use dependent plasticity as an effect of sensory-attentional training. //Experimental Brain Research, 188//(2), 317-322. https://doi.org/10.1007/s00221-008-1409-6
Naranjo, J.R., & Schmidt, S. (2012). Is it me or not me? modulation of perceptual-motor awareness and visuomotor performance by mindfulness meditation. //BMC Neuroscience, 13//, 88. https://doi.org/10.1186/1471-2202-13-88
Williams, V., Ciarrochi, J., & Deane, F.P. (2010). On being mindful, emotionally aware, and more resilient: Longitudinal pilot study of police recruits. //Australian Psychologist, 45//(4), 274-282. https://doi.org/10.1080/00050060903573197
Christopher, M.S., Goerling, R.J., Rogers, B.S., Hunsinger, M., Baron, G., Bergman, A.L., ... & Zava, D.T. (2016). A pilot study evaluating the effectiveness of a mindfulness-based intervention on cortisol awakening response and health outcomes among law enforcement officers. //Journal of Police and Criminal Psychology, 31//(1), 15-28. https://doi.org/10.1007/s11896-015-9161-x
Yeh, G.Y., Chan, C.W., Wayne, P.M., & Conboy, L. (2016). The impact of tai chi exercise on self-efficacy, social support, and empowerment in heart failure: Insights from a qualitative sub-study from a randomized controlled trial. //PLOS ONE, 11//(5), e0154678. https://doi.org/10.1371/journal.pone.0154678
Manzella, C., & Papazoglou, K. (2014). Training police trainees about ways to manage trauma and loss. //International Journal of Mental Health Promotion, 16//(2), 103-116. https://doi.org/10.1080/14623730.2014.903609
Dissanayaka, N.N.W., Jion, F.I., Pachana, N.A., O'Sullivan, J.D., Marsh, R., Byrne, G.J., ... & Harnett, P. (2016). Mindfulness for motor and nonmotor dysfunctions in parkinson's disease. //Parkinson’s Disease, 2006//, 7109052. https://doi.org/10.1155/2016/7109052
Hojjat, S., Kohandel, M., & Isazadeh, H. (2017). The efficacy of integrating Tai Chi and mindfulness exercises on the ms patients' improved balance, coordination, and performance. //Indo American Journal of Pharmaceutical Sciences, 4//(5), 1366-1371. https://doi.org/10.5281/zenodo.805948
Immink, M.A. (2016). Post-training meditation promotes motor memory consolidation. //Frontiers in Psychology, 7//, 1698. https://doi.org/10.3389/fpsyg.2016.01698
Dowsey, M.M., Castle, D.J., Knowles, S.R., Monshat, K., Salzberg, M.R., & Choong, P.F.M. (2014). The effect of mindfulness training prior to total joint arthroplasty on post-operative pain and physical function: Study protocol for a randomised controlled trial. //Trials, 15//, 208. https://doi.org/10.1186/1745-6215-15-208
Sprangers, M.A.G., & Schwartz, C.E. (2017). Toward mindfulness in quality-of-life research: Perspectives on how to avoid rigor becoming rigidity. //Quality of Life Research, 26//(6), 1387-1392. https://doi.org/10.1007/s11136-016-1492-2
Cebolla, A., Miragall, M., Palomo, P., Llorens, R., Soler, J., Demarzo, M., ... & Banos, R.M. (2016). Embodiment and body awareness in meditators. //Mindfulness, 7//(6), 1297-1305. https://doi.org/10.1007/s12671-016-0569-x
Bergman, A.L., Christopher, M.S., & Bowen, S. (2016). Changes in facets of mindfulness predict stress and anger outcomes for police officers. //Mindfulness, 7//(4), 851-858. https://doi.org/10.1007/s12671-016-0522-z
Lee, A.C., Harvey, W.F., Price, L.L., Morgan, L.P.K., Morgan, N.L., & Wang, C. (2017). Mindfulness is associated with psychological health and moderates pain in knee osteoarthritis. //Osteoarthritis and Cartilage, 25//(6), 824-831. https://doi.org/10.1016/j.joca.2016.06.017
Nikolitch, K., Laliberte, V., Yu, C., Strychowsky, N., Segal, M., Looper, K.J., ... & Rej, S. (2016). Tolerability and suitability of brief group mindfulness-oriented interventions in psychiatric inpatients: A pilot study. //International Journal of Psychiatry in Clinical Practice, 20//(3), 170-174. https://doi.org/10.1080/13651501.2016.1197276
Vidrine, J.I., Spears, C.A., Heppner, W.L., Reitzel, L.R., Marcus, M.T., Cinciripini, P.M., ... & Wetter, D.W. (2016). Efficacy of mindfulness-based addiction treatment (MBAT) for smoking cessation and lapse recovery: A randomized clinical trial. //Journal of Consulting and Clinical Psychology, 84//(9), 824-838. https://doi.org/10.1037/ccp0000117
Monti, D.A., Kash, K.M., Kunkel, E.J., Moss, A., Mathews, M., Brainard, G., ... & Newberg, A.B. (2013). Psychosocial benefits of a novel mindfulness intervention versus standard support in distressed women with breast cancer. //Psycho-Oncology, 22//(11), 2565-2575. https://doi.org/10.1002/pon.3320
Spears, C.A., Hedeker, D., Li, L., Wu, C., Anderson, N.K., Houchins, S.C., ... & Welter, D.W. (2017). Mechanisms underlying mindfulness-based addiction treatment versus cognitive behavioral therapy and usual care for smoking cessation. //Journal of Consulting and Clinical Psychology, 85//(11), 1029-1040. https://doi.org/10.1037/ccp0000229
van Ginneken, W.F., Poolton, J.M., Masters, R.S.W., Capio, C.M., Kal, E.C., & van der Kamp, J. (2017). Comparing the effects of conscious monitoring and conscious control on motor performance. //Psychology of Sport and Exercise, 30//, 145-152. https://doi.org/10.1016/j.psychsport.2017.03.001
Jang, S.H., Kang, S.Y., Lee, H.J., & Lee, S.Y. (2016). Beneficial effect of mindfulness-based art therapy in patients with breast cancer: A randomized controlled trial. //Explore: The Journal of Science and Healing, 12//(5), 333-340. https://doi.org/10.1016/j.explore.2016.06.003
[img[tps63.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Chesin, M.S., & Jeglic, E.L. (2016). Factors associated with recurrent suicidal ideation among racially and ethnically diverse college students with a history of suicide attempt: The role of mindfulness. //Archives of Suicide Research, 20//(1), 29-44. https://doi.org/10.1080/13811118.2015.1004488
Eliassen, B.K., Sorlie, T., Sexton, J., & Hoifodt, T.S. (2016). The effect of training in mindfulness and affect consciousness on the therapeutic environment for patients with psychoses: An explorative intervention study. //Scandinavian Journal of Caring Sciences, 30//(2), 391-402. https://doi.org/10.1111/scs.12261
Ducasse, D., Jaussent, I., Guillaume, S., Azorin, J.M., Bellivier, F., Belzeaux, R., ... & Courtet, P. (2017). Affect lability predicts occurrence of suicidal ideation in bipolar patients: A two-year prospective study. //Acta Psychiatrica Scandinavica, 135//(5), 460-469. https://doi.org/10.1111/acps.12710
Collins, K.R.L., Stebbing, C., Stritzke, W.G.K., & Page, A.C. (2017). A brief mindfulness intervention attenuates desire to escape following experimental induction of the interpersonal adversity implicated in suicide risk. //Mindfulness, 8//(4), 1096-1105. https://doi.org/10.1007/s12671-017-0686-1
Chesin, M.S., Benjamin-Phillips, C.A., Keilp, J., Fertuck, E.A., Brodsky, B.S., & Stanley, B. (2016). Improvements in executive attention, rumination, cognitive reactivity, and mindfulness among high-suicide risk patients participating in adjunct mindfulness-based cognitive therapy: Preliminary findings. //Journal of Alternative and Complementary Medicine, 22//(8), 642-649. https://doi.org/10.1089/acm.2015.0351
Buitron, V., Hill, R.M., & Pettit, J.W. (2017). Mindfulness moderates the association between perceived burdensomeness and suicide ideation in adults with elevated depressive symptoms. //Suicide and Life-threatening Behavior, 47//(5), 580-588. https://doi.org/10.1111/sltb.12314
Kline, A., Chesin, M., Latorre, M., Miller, R., St Hill, L., Shcherbakov, A., ... & Interian, A. (2016). Rationale and study design of a trial of mindfulness-based cognitive therapy for preventing suicidal behavior (MBCT-S) in military veterans. //Contemporary Clinical Trials, 50//, 245-252. https://doi.org/10.1016/j.cct.2016.08.015
Palmier-Claus, J.E., Taylor, P.J., Gooding, P., Dunn, G., & Lewis, S.W. (2012). Affective variability predicts suicidal ideation in individuals at ultra-high risk of developing psychosis: An experience sampling study. //British Journal of Clinical Psychology, 51//, 72-83. https://doi.org/10.1111/j.2044-8260.2011.02013.x
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2009). Mindful staff can reduce the use of physical restraints when providing care to individuals with intellectual disabilities. //Journal of Applied Research in Intellectual Disabilities, 22//(2), 194-202. https://doi.org/10.1111/j.1468-3148.2008.00488.x
Chesin, M.S., Sonmez, C.C., Benjamin-Phillips, C.A., Beeler, B., Brodsky, B.S., & Stanley, B. (2015). Preliminary effectiveness of adjunct mindfulness-based cognitive therapy to prevent suicidal behavior in outpatients who are at elevated suicide risk. //Mindfulness, 6//(6), 1345-1355. https://doi.org/10.1007/s12671-015-0405-8
Kohrt, B.K., Lincoln, T.M., & Brambila, A.D. (2017). Embedding DBT skills training within a transactional-ecological framework to reduce suicidality in a navajo adolescent female. //Clinical Case Studies, 16//(1), 76-92. https://doi.org/10.1177/1534650116668271
Forkmann, T., Wichers, M., Geschwind, N., Peeters, F., van Os, J., Mainz, V., ... & Collip, D. (2014). Effects of mindfulness-based cognitive therapy on self-reported suicidal ideation: Results from a randomised controlled trial in patients with residual depressive symptoms. //Comprehensive Psychiatry, 55//(8), 1883-1890. https://doi.org/10.1016/j.comppsych.2014.08.043
Tucker, R.P., O'Keefe, V.M., Cole, A.B., Rhoades-Kerswill, S., Hollingsworth, D.W., Helle, A.C., ... & Wingate, L.R. (2014). Mindfulness tempers the impact of personality on suicidal ideation. //Personality and Individual Differences, 68//, 229-233. https://doi.org/10.1016/j.paid.2014.05.001
Collins, K.R.L., Best, I., Stritzke, W.G.K., & Page, A.C. (2016). Mindfulness and zest for life buffer the negative effects of experimentally-induced perceived burdensomeness and thwarted belongingness: Implications for theories of suicide. //Journal of Abnormal Psychology, 125//(5), 704-714. https://doi.org/10.1037/abn0000167
Barnhofer, T., Crane, C., Brennan, K., Duggan, D.S., Crane, R.S., Eames, C., ... & Williams, J.M.G. (2015). Mindfulness-based cognitive therapy (MBCT) reduces the association between depressive symptoms and suicidal cognitions in patients with a history of suicidal depression. //Journal of Consulting and Clinical Psychology, 83//(6), 1013-1020. https://doi.org/10.1037/ccp0000027
Zeng, W.N., Ma, Z.W., & Li, H.Z. (2017). Mindfulness and suicidal ideation in Chinese older adults: Perceived stress as mediator. //Social Behavior and Personality, 45//(5), 733-740. https://doi.org/10.2224/sbp.5807
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Myers, R.E., Winton, A.S.W., Latham, L.L., ... & Nugent, K. (2015). Effects of training staff in MBPBS on the use of physical restraints, staff stress and turnover, staff and peer injuries, and cost effectiveness in developmental disabilities. //Mindfulness, 6//(4), 926-937. https://doi.org/10.1007/s12671-014-0369-0
Byron, G., Ziedonis, D.M., McGrath, C., Frazier, J.A., Dettrrijos, F., & Fulwiler, C. (2015). Implementation of mindfulness training for mental health staff: Organizational context and stakeholder perspectives. //Mindfulness, 6//(4), 861-872. https://doi.org/10.1007/s12671-014-0330-2
Shorey, R.C., Elmquist, J., Wolford-Clevenger, C., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between dispositional mindfulness, borderline personality features, and suicidal ideation in a sample of women in residential substance use treatment. //Psychiatry Research, 238//, 122-128. https://doi.org/10.1016/j.psychres.2016.02.040
Slee, N., Garnefski, N., Spinhoven, P., & Arensman, E. (2008). The influence of cognitive emotion regulation strategies and depression severity on deliberate self-harm. //Suicide and Life-threatening Behavior, 38//(3), 274-286. https://doi.org/10.1521/suli.2008.38.3.274
Palmier-Claus, J., Shryane, N., Taylor, P., Lewis, S., & Drake, R. (2013). Mood variability predicts the course of suicidal ideation in individuals with first and second episode psychosis. //Psychiatry Research, 206//(2-3), 240-245. https://doi.org/10.1016/j.psychres.2012.11.014
Anastasiades, M.H., Kapoor, S., Wootten, J., & Lamis, D.A. (2017). Perceived stress, depressive symptoms, and suicidal ideation in undergraduate women with varying levels of mindfulness. //Archives of Women’s Mental Health, 20//(1), 129-138. https://doi.org/10.1007/s00737-016-0686-5
Morera, T., Bucci, S., Randal, C., Barrett, M., & Pratt, D. (2017). Exploring views about mindfulness groups for voice-hearing from the perspective of service users and staff: A Q-methodology study. //Psychotherapy Research, 27//(2), 179-188. https://doi.org/10.1080/10503307.2015.1085657
Williams, J.M.G., Russell, I.T., Crane, C., Russell, D., Whitaker, C.J., Duggan, D.S., ... & Silverton, S. (2010). Staying well after depression: Trial design and protocol. //BMC Psychiatry, 10//, 23. https://doi.org/10.1186/1471-244X-10-23
Luoma, J.B., & Villatte, J.L. (2012). Mindfulness in the treatment of suicidal individuals. //Cognitive and Behavioral Practice, 19//(2), 265-276. https://doi.org/10.1016/j.cbpra.2010.12.003
Ashworth, S., Mooney, P., & Tully, R. (2016). Adapted DBT programme for individuals with intellectual disabilities and problems managing emotions: Staff awareness training. //Advances in Mental Health and intellectual disabilities, 10//(3), 185-198. https://doi.org/10.1108/AMHID-12-2015-0053
Noone, S.J., & Hastings, R.P. (2011). Values and psychological acceptance as correlates of burnout in support staff working with adults with intellectual disabilities. //Journal of Mental Health research in intellectual disabilities, 4//(2), 79-89. https://doi.org/10.1080/19315864.2011.582230
Moorhead, C., Winfield, J., & Freeston, M.H. (2016). Becoming a more mindful practitioner: The effectiveness of a mindfulness-based CBT course in meeting training needs for clinical staff in adult mental health urgent care services. //Cognitive Behaviour Therapist, 9//, e4. https://doi.org/10.1017/S1754470X15000744
Shand, F.L., Ridani, R., Tighe, J., & Christensen, H. (2013). The effectiveness of a suicide prevention app for indigenous Australian youths: Study protocol for a randomized controlled trial. //Trials, 14//, 396. https://doi.org/10.1186/1745-6215-14-396
Serpa, J.G., Taylor, S.L., & Tillisch, K. (2014). Mindfulness-based stress reduction (MBSR) reduces anxiety, depression, and suicidal ideation in veterans. //Medical Care, 52//(12), S19-S24. https://doi.org/10.1097/MLR.0000000000000202
Keilp, J.G., Beers, S.R., Burke, A.K., Melhem, N.M., Oquendo, M.A., Brent, D.A., ... & Mann, J.J. (2014). Neuropsychological deficits in past suicide attempters with varying levels of depression severity. //Psychological Medicine, 44//(14), 2965-2974. https://doi.org/10.1017/S0033291714000786
Chang, E.C., Yu, T.N., Najarian, A.S.M., Wright, K.M., Chen, W.T., Chang, O.D., ... & Hirsch, J.K. (2017). Understanding the association between negative life events and suicidal risk in college students: Examining self-compassion as a potential mediator. //Journal of Clinical Psychology, 73//(6), 745-755. https://doi.org/10.1002/jclp.22374
Webb, J.R., Hirsch, J.K., & Toussaint, L. (2015). Forgiveness as a positive psychotherapy for addiction and suicide: Theory, research, and practice. //Spirituality in Clinical Practice, 2//(1), 48-60. https://doi.org/10.1037/scp0000054
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Curtis, W.J., Wahler, R.G., Sabaawi, M., ... & McAleavey, K. (2006). Mindful staff increase learning and reduce aggression in adults with developmental disabilities. //Research in Developmental Disabilities, 27//(5), 545-558. https://doi.org/10.1016/j.ridd.2005.07.002
Williams, J.M.G., Duggan, D.S., Crane, C., & Fennell, M.J.V. (2006). Mindfulness-based cognitive therapy for prevention of recurrence of suicidal behavior. //Journal of Clinical Psychology, 62//(2), 201-210. https://doi.org/10.1002/jclp.20223
Forkmann, T., Brakemeier, E.L., Teismann, T., Schramm, E., & Michalak, J. (2016). The effects of mindfulness-based cognitive therapy and cognitive behavioral analysis system of psychotherapy added to treatment as usual on suicidal ideation in chronic depression: Results of a randomized-clinical trial. //Journal of Affective Disorders, 200//, 51-57. https://doi.org/10.1016/j.jad.2016.01.047
Hill, C.L.M., & Updegraff, J.A. (2012). Mindfulness and its relationship to emotional regulation. //Emotion, 12//(1), 81-90. https://doi.org/10.1037/a0026355
Oliver, J.E., McLachlan, K., Jose, P.E., & Peters, E. (2012). Predicting changes in delusional ideation: The role of mindfulness and negative schemas. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(3), 243-259. https://doi.org/10.1111/j.2044-8341.2011.02025.x
Castilho, P., Martins, M.J., Pinto, A.M., Viegas, R., Carvalho, S., & Madeira, N. (2017). Understanding the effect of attachment styles in paranoid ideation: The mediator role of experiential avoidance. //Journal of Contextual Behavioral Science, 6//(1), 42-46. https://doi.org/10.1016/j.jcbs.2016.11.007
[img[tps64.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Dowd, A.J., & Jung, M.E. (2017). Self-compassion directly and indirectly predicts dietary adherence and quality of life among adults with celiac disease. //Appetite, 113//, 293-300. https://doi.org/10.1016/j.appet.2017.02.023
Pollock, C.L., Smith, S.D., Knowles, E.S., & Bruce, H.J. (1998). Mindfulness limits compliance with the That's-Not-AU technique. //Personality and Social Psychology Bulletin, 24//(11), 1153-1157. https://doi.org/10.1177/01461672982411002
Leung, C.W., Laraia, B.A., Coleman-Phox, K., Bush, N.R., Lin, J., Blackburn, E.H., ... & Epel, E.S. (2016). Sugary beverage and food consumption, and leukocyte telomere length maintenance in pregnant women. //European Journal of Clinical Nutrition, 70//(9), 1086-1088. https://doi.org/10.1038/ejcn.2016.93
Jenkins, K.T., & Tapper, K. (2014). Resisting chocolate temptation using a brief mindfulness strategy. //British Journal of Health Psychology, 19//(3), 509-522. https://doi.org/10.1111/bjhp.12050
Meier, B.P., Noll, S.W., & Molokwu, O.J. (2017). The sweet life: The effect of mindful chocolate consumption on mood. //Appetite, 108//, 21-27. https://doi.org/10.1016/j.appet.2016.09.018
Fox, S. (2016). Dismantling the box: Applying principles for reducing preconceptions during ideation. //International Journal of Innovation Management, 20//(6). https://doi.org/10.1142/S1363919616500493
Borkoles, E., Reynolds, N., Ski, C.F., Stojanovska, L., Thompson, D.R., & Polman, R.C.J. (2015). Relationship between Type-D personality, physical activity behaviour and climacteric symptoms. //BMC Womens Health, 15//. https://doi.org/10.1186/s12905-015-0176-3
Bryan, J., Tuckey, M., Einother, S.J.L., Garczarek, U., Garrick, A., & De Bruin, E.A. (2012). Relationships between tea and other beverage consumption to work performance and mood. //Appetite, 58//(1), 339-346. https://doi.org/10.1016/j.appet.2011.11.009
Moffitt, R., Brinkworth, G., Noakes, M., & Mohr, P. (2012). A comparison of cognitive restructuring and cognitive defusion as strategies for resisting a craved food. //Psychology & Health, 27//, 74-90. https://doi.org/10.1080/08870446.2012.694436
Fassbender, C., Mukherjee, P., & Schweitzer, J.B. (2017). Minimizing noise in pediatric task-based functional MRI; adolescents with developmental disabilities and typical development. //Neuroimage, 149//, 338-347. https://doi.org/10.1016/j.neuroimage.2017.01.021
Lim, W.M. (2017). Inside the sustainable consumption theoretical toolbox: Critical concepts for sustainability, consumption, and marketing. //Journal of Business Research, 78//, 69-80. https://doi.org/10.1016/j.jbusres.2017.05.001
Sato, A.F., & Fahrenkamp, A.J. (2016). From bench to bedside understanding stress-obesity research within the context of translation to improve pediatric behavioral weight management. //Pediatric Clinics of North America, 63//(3), 401-423. https://doi.org/10.1016/j.pcl.2016.02.003
Barnes, N., Hattan, P., Black, D.S., & Schuman-Olivier, Z. (2017). An examination of mindfulness-based programs in US medical schools. //Mindfulness, 8//(2), 489-494. https://doi.org/10.1007/s12671-016-0623-8
Ode, S., Robinson, M.D., & Hanson, D.M. (2011). Cognitive-emotional dysfunction among noisy minds: Predictions from individual differences in reaction time variability. //Cognition & Emotion, 25//(2), 307-327. https://doi.org/10.1080/02699931.2010.494387
Armon, E., Kohls, N.B., & Giordano, J. (2016). On the viability of neurotechnology and mind-body methods in pediatric mental health: Perspectives on integrating new tools to complement old techniques. //European Journal of Integrative Medicine, 8//(2), 137-140. https://doi.org/10.1016/j.eujim.2015.12.011
McClafferty, H., & Brown, O.W. (2014). Physician health and wellness. //Pediatrics, 134//(4), 830-835. https://doi.org/10.1542/peds.2014-2278
[img[tps65.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Gurfein, B.T., Davidenko, O., Premenko-Lanier, M., Milush, J.M., Acree, M., Dallman, M.F., ... & Hecht, F.M. (2014). Environmental enrichment alters splenic immune cell composition and enhances secondary influenza vaccine responses in mice. //Molecular Medicine, 20//, 179-190. https://doi.org/10.2119/molmed.2013.00158
Chan, D.F.F., Herrera-Arroyo, M., Santiago, D.E., Castillo, T.R., & Fajardo-Gomez, M.F.Q. (2017). Panuveitis-like reaction following encircling laser retinopexy/cerclage in a 21-year-old male. //Journal of Ophthalmic Inflammation and Infection, 7//, 21. https://doi.org/10.1186/s12348-017-0139-y
Garcia-Martin, E., Ruiz-de-Gopegui, E., Otin, S., Blasco, A., Larrosa, J.M., Polo, V., ... & Garcia-Campayo, J. (2016). Assessment of visual function and structural retinal changes in Zen meditators: Potential effect of mindfulness on visual ability. //Mindfulness, 7//(4), 979-987. https://doi.org/10.1007/s12671-016-0537-5
Hayney, M.S., Coe, C.L., Muller, D., Obasi, C.N., Backonja, U., Ewers, T., ... & Barrett, B. (2014). Age and psychological influences on immune responses to trivalent inactivated influenza vaccine in the meditation or exercise for preventing acute respiratory infection (MEPARI) trial. //Human Vaccines & Immunotherapeutics, 10//(1), 83-91. https://doi.org/10.4161/hv.26661
Langer, E., Djikic, M., Pirson, M., Madenci, A., & Donohue, R. (2010). Believing is seeing: Using mindlessness (mindfully) to improve visual acuity. //Psychological Science, 21//(5), 661-666. https://doi.org/10.1177/0956797610366543
Gurfein, B.T., Stamm, A.W., Bacchetti, P., Dallman, M.F., Nadkarni, N.A., Milush, J.M., ... & Nixon, D.F. (2012). The calm mouse: An animal model of stress reduction. //Molecular Medicine, 18//(4), 606-617. https://doi.org/10.2119/molmed.2012.00053
Eaton, J., & Tieber, C. (2017). The effects of coloring on anxiety, mood, and perseverance. //Art Therapy, 34//(1), 42-46. https://doi.org/10.1080/07421656.2016.1277113
Pirson, M., Ie, A., & Langer, E. (2012). Seeing what we know, knowing what we see: Challenging the limits of visual acuity. //Journal of Adult Development, 19//(2), 59-65. https://doi.org/10.1007/s10804-011-9132-0
Alda, M., Puebla-Guedea, M., Rodero, B., Demarzo, M., Montero-Marin, J., Roca, M., ... & Garcia-Campayo, J. (2016). Zenmeditation, length of telomeres, and the role of experiential avoidance and compassion. //Mindfulness, 7//(3), 651-659. https://doi.org/10.1007/s12671-016-0500-5
Wang, X., Sundquist, K., Hedelius, A., Palmer, K., Memon, A.A., & Sundquist, J. (2017). Leukocyte telomere length and depression, anxiety and stress and adjustment disorders in primary health care patients. //BMC Psychiatry, 17//, 148. https://doi.org/10.1186/s12888-017-1308-0
Raz, A., & Campbell, N.K.J. (2011). Can suggestion obviate reading? Supplementing primary stroop evidence with exploratory negative priming analyses. //Consciousness and Cognition, 20//(2), 312-320. https://doi.org/10.1016/j.concog.2009.09.013
Daubenmier, J., Lin, J., Blackburn, E., Hecht, F.M., Kristeller, J., Maninger, N., ... & Epel, E. (2012). Changes in stress, eating, and metabolic factors are related to changes in telomerase activity in a randomized mindfulness intervention pilot study. //Psychoneuroendocrinology, 37//(7), 917-928. https://doi.org/10.1016/j.psyneuen.2011.10.008
Jacobs, T.L., Epel, E.S., Lin, J., Blackburn, E.H., Wolkowitz, O.M., Bridwell, D.A., ... & Saron, C.D. (2011). Intensive meditation training, immune cell telomerase activity, and psychological mediators. //Psychoneuroendocrinology, 36//(5), 664-681. https://doi.org/10.1016/j.psyneuen.2010.09.010
Davidson, R.J., Kabat-Zinn, J., Schumacher, J., Rosenkranz, M., Muller, D., Santorelli, S.F., ... & Sheridan, J.F. (2003). Alterations in brain and immune function produced by mindfulness meditation. //Psychosomatic Medicine, 65//(4), 564-570. https://doi.org/10.1097/01.PSY.0000077505.67574.E3
Epel, E., Daubenmier, J., Moskowitz, J.T., Folkman, S., & Blackburn, E. (2009). Can meditation slow rate of cellular aging? Cognitive stress, mindfulness, and telomeres. //Annals of the New York Academy of Sciences, 1172//, 34-53. https://doi.org/10.1111/j.1749-6632.2009.04414.x
Schutte, N.S., Palanisamy, S.K.A., & McFarlane, J.R. (2016). The relationship between positive psychological characteristics and longer telomeres. //Psychology & Health, 31//(12), 1466-1480. https://doi.org/10.1080/08870446.2016.1226308
Hoge, E.A., Chen, M.M., Orr, E., Metcalf, C.A., Fischer, L.E., Pollack, M.H., ... & Simon, N.M. (2013). Loving-kindness meditation practice associated with longer telomeres in women. //Brain Behavior and Immunity, 32//, 159-163. https://doi.org/10.1016/j.bbi.2013.04.005
Radel, R., Sarrazin, P., Legrain, P., & Gobance, L. (2009). Subliminal priming of motivational orientation in educational settings: Effect on academic performance moderated by mindfulness. //Journal of Research in Personality, 43//(4), 695-698. https://doi.org/10.1016/j.jrp.2009.02.011
Rozanski, C., Haythornthwaite, J.A., Dagnelie, G., & Bittner, A.K. (2014). Applying theories and interventions from behavioral medicine to understand and reduce visual field variability in patients with vision loss. //Medical Hypotheses, 83//(2), 190-195. https://doi.org/10.1016/j.mehy.2014.04.031
Braboszcz, C., Cahn, B.R., Balakrishnan, B., Maturi, R.K., Grandchamp, R., & Delorme, A. (2013). Plasticity of visual attention in Isha yoga meditation practitioners before and after a 3-month retreat. //Frontiers in Psychology, 4//, 914. https://doi.org/10.3389/fpsyg.2013.00914
Rowe, A.C., Shepstone, L., Carnelley, K.B., Cavanagh, K., & Millings, A. (2016). Attachment security and self-compassion priming increase the likelihood that first-time engagers in mindfulness meditation will continue with mindfulness training. //Mindfulness, 7//(3), 642-650. https://doi.org/10.1007/s12671-016-0499-7
[img[tps66.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Pitman, S.R., Hilsenroth, M.J., Goldman, R.E., Levy, S.R., Siegel, D.F., & Miller, R. (2017). Therapeutic technique of APA master therapists: Areas of difference and integration across theoretical orientations. //Professional Psychology-research and Practice, 48//(3), 156-166. https://doi.org/10.1037/pro0000127
Keng, S.L., Waddington, E., Lin, X.B., Tan, M.S.Q., Henn-Haase, C., & Kanter, J.W. (2017). Effects of functional analytic psychotherapy therapist training on therapist factors among therapist trainees in Singapore: A randomized controlled trial. //Clinical Psychology & Psychotherapy, 24//(4), 1014-1027. https://doi.org/10.1002/cpp.2064
Eubanks-Carter, C., Muran, J.C., & Safran, J.D. (2015). Alliance-focused training. //Psychotherapy, 52//(2), 169-173. https://doi.org/10.1037/a0037596
Ryan, A., Safran, J.D., Doran, J.M., & Muran, J.C. (2012). Therapist mindfulness, alliance and treatment outcome. //Psychotherapy Research, 22//(3), 289-297. https://doi.org/10.1080/10503307.2011.650653
Dugmore, N. (2014). Flexing the frame: Contemplating the use of multiple ports of entry in parent-infant psychotherapy. //Infant Mental Health Journal, 35//(4), 366-375. https://doi.org/10.1002/imhj.21452
Griffith, G.M., Barbakou, A., & Hastings, R.P. (2014). Coping as a predictor of burnout and general health in therapists working in ABA schools. //European Journal of Special Needs Education, 29//(4), 548-558. https://doi.org/10.1080/08856257.2014.952915
Gaztambide, D.J. (2012). Addressing cultural impasses with rupture resolution strategies: A proposal and recommendations. //Professional Psychology-research and Practice, 43//(3), 183-189. https://doi.org/10.1037/a0026911
McClintock, A.S., Perlman, M.R., McCarrick, S.M., Anderson, T., & Himawan, L. (2017). Enhancing psychotherapy process with common factors feedback: A randomized, clinical trial. //Journal of Counseling Psychology, 64//(3), 247-260. https://doi.org/10.1037/cou0000188
Segal, Z.V., Teasdale, J.D., Williams, J.M., & Gemar, M.C. (2002). The mindfulness-based cognitive therapy adherence scale: Inter-rater reliability, adherence to protocol and treatment distinctiveness. //Clinical Psychology & Psychotherapy, 9//(2), 131-138. https://doi.org/10.1002/cpp.320
Romanelli, A., Tishby, O., & Moran, G.S. (2017). Coming home to myself: A qualitative analysis of therapists' experience and interventions following training in theater improvisation skills. //Arts in Psychotherapy, 53//, 12-22. https://doi.org/10.1016/j.aip.2017.01.005
Grepmair, L., Mitterlehner, F., Loew, T., Bachler, E., Rother, W., & Nickel, M. (2007). Promoting mindfulness in psychotherapists in training influences the treatment results of their patients: A randomized, double-blind, controlled study. //Psychotherapy and Psychosomatics, 76//(6), 332-338. https://doi.org/10.1159/000107560
Pakenham, K.I. (2015). Effects of acceptance and commitment therapy (ACT) training on clinical psychology trainee stress, therapist skills and attributes, and act processes. //Clinical Psychology & Psychotherapy, 22//(6), 647-655. https://doi.org/10.1002/cpp.1924
Moltu, C., & Binder, P.E. (2011). The voices of fellow travellers: Experienced therapists' strategies when facing difficult therapeutic impasses. //British Journal of Clinical Psychology, 50//, 250-267. https://doi.org/10.1348/014466510X514355
Walser, R.D., Karlin, B.E., Trockel, M., Mazina, B., & Taylor, C.B. (2013). Training in and implementation of acceptance and commitment therapy for depression in the veterans health administration: Therapist and patient outcomes. //Behaviour Research and Therapy, 51//(9), 555-563. https://doi.org/10.1016/j.brat.2013.05.009
Millon, G., & Halewood, A. (2015). Mindfulness meditation and countertransference in the therapeutic relationship: A small-scale exploration of therapists' experiences using grounded theory methods. //Counselling & Psychotherapy Research, 15//(3), 188-196. https://doi.org/10.1002/capr.12020
Bjelland, I.E., Johansen, A., Darnell, F., & Brendryen, H. (2017). Using a film intervention in early addiction treatment: A qualitative analysis of process. //International Journal of Behavioral Medicine, 24//(5), 740-748. https://doi.org/10.1007/s12529-017-9654-3
Ivey, G. (2015). The mindfulness status of psychoanalytic psychotherapy. //Psychoanalytic Psychotherapy, 29//(4), 382-398. https://doi.org/10.1080/02668734.2015.1081267
Baker, S. (2016). Working in the present moment: The impact of mindfulness on trainee psychotherapists' experience of relational depth. //Counselling & Psychotherapy Research, 16//(1), 5-14. https://doi.org/10.1002/capr.12038
Razzaque, R., Okoro, E., & Wood, L. (2015). Mindfulness in clinician therapeutic relationships. //Mindfulness, 6//(2), 170-174. https://doi.org/10.1007/s12671-013-0241-7
Keane, A. (2014). The influence of therapist mindfulness practice on psychotherapeutic work: A mixed-methods study. //Mindfulness, 5//(6), 689-703. https://doi.org/10.1007/s12671-013-0223-9
DiGiorgio, K.E., Glass, C.R., & Arnkoff, D.B. (2010). Therapists' use of DBT: A survey study of clinical practice. //Cognitive and Behavioral Practice, 17//(2), 213-221. https://doi.org/10.1016/j.cbpra.2009.06.003
Bruce, N.G., Manber, R., Shapiro, S.L., & Constantino, M.J. (2010). Psychotherapist mindfulness and the psychotherapy process. //Psychotherapy, 47//(1), 83-97. https://doi.org/10.1037/a0018842
Chawla, N., Collins, S., Bowen, S., Hsu, S., Grow, J., Douglass, A., ... & Marlatt, G.A. (2010). The mindfulness-based relapse prevention adherence and competence scale: Development, interrater reliability, and validity. //Psychotherapy Research, 20//(4), 388-397. https://doi.org/10.1080/10503300903544257
Lalande, L., King, R., Bambling, M., & Schweitzer, R.D. (2016). Guided respiration mindfulness therapy: Development and evaluation of a brief therapist training program. //Journal of Contemporary Psychotherapy, 46//(2), 107-116. https://doi.org/10.1007/s10879-015-9320-5
Becker, B.D., Patterson, F., Fagan, J.S., & Whitaker, R.C. (2016). Mindfulness among home visitors in head start and the quality of their working alliance with parents. //Journal of Child and Family Studies, 25//(6), 1969-1979. https://doi.org/10.1007/s10826-015-0352-y
Shamoon, Z.A., Lappan, S., & Blow, A.J. (2017). Managing anxiety: A therapist common factor. //Contemporary Family Therapy, 39//(1), 43-53. https://doi.org/10.1007/s10591-016-9399-1
Lord, S. (2015). Meditative dialogue: Cultivating the transformative theater of psychotherapy. //Psychoanalytic Social Work, 22//(1), 71-87. https://doi.org/10.1080/15228878.2013.877395
Goldberg, S.B., Davis, J.M., & Hoyt, W.T. (2013). The role of therapeutic alliance in mindfulness interventions: Therapeutic alliance in mindfulness training for smokers. //Journal of Clinical Psychology, 69//(9), 936-950. https://doi.org/10.1002/jclp.21973
Shapiro, S.L., Brown, K.W., & Biegel, G.M. (2007). Teaching self-care to caregivers: Effects of mindfulness-based stress reduction on the mental health of therapists in training. //Training and Education in Professional Psychology, 1//(2), 105-115. https://doi.org/10.1037/1931-3918.1.2.105
Dunn, R., Callahan, J.L., Swift, J.K., & Ivanovic, M. (2013). Effects of pre-session centering for therapists on session presence and effectiveness. //Psychotherapy Research, 23//(1), 78-85. https://doi.org/10.1080/10503307.2012.731713
Pakenham, K.I. (2015). Investigation of the utility of the acceptance and commitment therapy (ACT) framework for fostering self-care in clinical psychology trainees. //Training and Education in Professional Psychology, 9//(2), 144-152. https://doi.org/10.1037/tep0000074
Stafford-Brown, J., & Pakenham, K.I. (2012). The effectiveness of an ACT informed intervention for managing stress and improving therapist qualities in clinical psychology trainees. //Journal of Clinical Psychology, 68//(6), 592-613. https://doi.org/10.1002/jclp.21844
Moll, S.E., Tryssenaar, J., Good, C.R., & Detwiler, L.M. (2013). Psychotherapy: A profile of current occupational therapy practice in Ontario. //Canadian Journal of Occupational Therapy, 80//(5), 328-336. https://doi.org/10.1177/0008417413515849
Bowen, S., & Kurz, A.S. (2012). Between-session practice and therapeutic alliance as predictors of mindfulness after mindfulness-based relapse prevention. //Journal of Clinical Psychology, 68//(3), 236-245. https://doi.org/10.1002/jclp.20855
Waelde, L.C., Thompson, J.M., Robinson, A., & Iwanicki, S. (2016). Trauma therapists' clinical applications, training, and personal practice of mindfulness and meditation. //Mindfulness, 7//(3), 622-629. https://doi.org/10.1007/s12671-016-0497-9
Sperry, L. (2016). Therapist effects and spiritually oriented psychotherapy. //Open Theology, 2//(1), 286-295. https://doi.org/10.1515/opth-2016-0024
Horst, K., Newsom, K., & Stith, S. (2013). Client and therapist initial experience of using mindfulness in therapy. //Psychotherapy Research, 23//(4), 369-380. https://doi.org/10.1080/10503307.2013.784420
Lin, P., & Seiden, H.M. (2015). Mindfulness and psychoanalytic psychotherapy: A clinical convergence. //Psychoanalytic Psychology, 32//(2), 321-333. https://doi.org/10.1037/a0038170
Hipol, L.J., & Deacon, B.J. (2013). Dissemination of evidence-based practices for anxiety disorders in Wyoming: A survey of practicing psychotherapists. //Behavior Modification, 37//(2), 170-188. https://doi.org/10.1177/0145445512458794
Ljotsson, B., Hedman, E., Andersson, E., Hesser, H., Lindfors, P., Hursti, T., ... & Andersson, G. (2011). Internet-delivered exposure-based treatment vs. stress management for irritable bowel syndrome: A randomized trial. //American Journal of Gastroenterology, 106//(8), 1481-1491. https://doi.org/10.1038/ajg.2011.139
Brown, L.A., Gaudiano, B.A., & Miller, I.W. (2011). Investigating the similarities and differences between practitioners of second- and third-wave cognitive-behavioral therapies. //Behavior Modification, 35//(2), 187-200. https://doi.org/10.1177/0145445510393730
Duquette, P. (2017). Increasing our insular world view: Interoception and psychopathology for psychotherapists. //Frontiers in Neuroscience, 11//, 135. https://doi.org/10.3389/fnins.2017.00135
Grepmair, L., Mitterlehner, F., Loew, T., & Nickel, M. (2007). Promotion of mindfulness in psychotherapists in training: Preliminary study. //European Psychiatry, 22//(8), 485-489. https://doi.org/10.1016/j.eurpsy.2007.02.004
Christopher, J.C., Chrisman, J.A., Trotter-Mathison, M.J., Schure, M.B., Dahlen, P., & Christopher, S.B. (2011). Perceptions of the long-term influence of mindfulness training on counselors and psychotherapists: A qualitative inquiry. //Journal of Humanistic Psychology, 51//(3), 318-349. https://doi.org/10.1177/0022167810381471
Bell, T., Dixon, A., & Kolts, R. (2017). Developing a compassionate internal supervisor: Compassion-focused therapy for trainee therapists. //Clinical Psychology & Psychotherapy, 24//(3), 632-648. https://doi.org/10.1002/cpp.2031
Twemlow, S.W. (2001). Training psychotherapists in attributes of "mind" from Zen and psychoanalytic perspectives, part II: Attention, here and now, nonattachment, and compassion. //American Journal of Psychotherapy, 55//(1), 22-39. https://doi.org/10.1176/appi.psychotherapy.2001.55.1.22
Gershkovich, M., Herbert, J.D., Forman, E.M., Schumacher, L.M., & Fischer, L.E. (2017). Internet-delivered acceptance-based cognitive-behavioral intervention for social anxiety disorder with and without therapist support: A randomized trial. //Behavior Modification, 41//(5), 583-608. https://doi.org/10.1177/0145445517694457
Yip, S.Y.C., Mak, W.W.S., Chio, F.H.N., & Law, R.W. (2017). The mediating role of self-compassion between mindfulness and compassion fatigue among therapists in Hong Kong. //Mindfulness, 8//(2), 460-470. https://doi.org/10.1007/s12671-016-0618-5
Lau, M.A., & McMain, S.F. (2005). Integrating mindfulness meditation with cognitive and behavioural therapies: The challenge of combining acceptance- and change-based strategies. //Canadian Journal of Psychiatry-revue Canadienne De Psychiatrie, 50//(13), 863-869. https://doi.org/10.1177/070674370505001310
Pakenham, K.I., & Stafford-Brown, J. (2013). Postgraduate clinical psychology students' perceptions of an acceptance and commitment therapy stress management intervention and clinical training. //Clinical Psychologist, 17//(2), 56-66. https://doi.org/10.1111/j.1742-9552.2012.00050.x
Williams, E.N. (2008). A psychotherapy researcher's perspective on therapist self-awareness and self-focused attention after a decade of research. //Psychotherapy Research, 18//(2), 139-146. https://doi.org/10.1080/10503300701691656
Fatter, D.M., & Hayes, J.A. (2013). What facilitates countertransference management? The roles of therapist meditation, mindfulness, and self-differentiation. //Psychotherapy Research, 23//(5), 502-513. https://doi.org/10.1080/10503307.2013.797124
Napoli, M. (2011). React or respond: A guide to apply mindfulness for families and therapists. //Families in Society: The Journal of Contemporary Social Services, 92//(1), 28-32. https://doi.org/10.1606/1044-3894.4060
Batha, K. (2015). Clever connections: A pilot whole-family programme exploring opportunities to enhance carer-child attunement. //Children Australia, 40//(3), 221-231. https://doi.org/10.1017/cha.2015.19
Harper, S.F. (2013). Integrating theories and concepts: Formulation driven CBT for a client with a diagnosis of schizo-affective disorder. //Clinical Psychology & Psychotherapy, 20//(1), 77-86. https://doi.org/10.1002/cpp.771
Johnson, C., Burke, C., Brinkman, S., & Wade, T. (2017). Development and validation of a multifactor mindfulness scale in youth: The Comprehensive Inventory of Mindfulness Experiences–Adolescents (CHIME-A). //Psychological Assessment, 29//(3), 264-281. https://doi.org/10.1037/pas0000342
[img[tps67.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Reilly-Spong, M., Reibel, D., Pearson, T., Kappa, P., & Gross, C.R. (2015). Telephone-adapted mindfulness-based stress reduction (TMBSR) for patients awaiting kidney transplantation: Trial design, rationale and feasibility. //Contemporary Clinical Trials, 42//, 169-184. https://doi.org/10.1016/j.cct.2015.03.013
Chiva, R. (2014). The common welfare human resource management system a new proposal based on high consciousness. //Personnel Review, 43//(6), 937-956. https://doi.org/10.1108/PR-01-2014-0026
Gross, C.R., Reilly-Spong, M., Park, T., Zhao, R.Z., Gurvich, O.V., & Ibrahim, H.N. (2017). Telephone-adapted mindfulness-based stress reduction (TMBSR) for patients awaiting kidney transplantation. //Contemporary Clinical Trials, 57//, 37-43. https://doi.org/10.1016/j.cct.2017.03.014
Prinsloo, G.E., Derman, W.E., Lambert, M.I., & Rauch, H.G.L. (2013). The effect of a single episode of short duration heart rate variability biofeedback on measures of anxiety and relaxation states. //International Journal of Stress Management, 20//(4), 391-411. https://doi.org/10.1037/a0034777
Michal, M., Koechel, A., Canterino, M., Adler, J., Reiner, I., Vossel, G., ... & Gamer, M. (2013). Depersonalization disorder: Disconnection of cognitive evaluation from autonomic responses to emotional stimuli. //PLOS ONE, 8//(9). https://doi.org/10.1371/journal.pone.0074331
Gross, C.R., Kreitzer, M.J., Thomas, W., Reilly-Spong, M., Cramer-Bornemann, M., Nyman, J.A., ... & Ibrahim, H.N. (2010). Mindfulness-based stress reduction for solid organ transplant recipients: A randomized controlled trial. //Alternative Therapies in Health and Medicine, 16//(5), 30-38.
Shaw, M., Lee, A., & Williams, R. (2015). Formative journeys of first-year college students: Tensions and intersections with intercultural theory. //Higher Education Research & Development, 34//(1), 188-204. https://doi.org/10.1080/07294360.2014.934330
Wheeler, A.R., Halbesleben, J.R.B., & Harris, K.J. (2012). How job-level HRM effectiveness influences employee intent to turnover and workarounds in hospitals. //Journal of Business Research, 65//(4), 547-554. https://doi.org/10.1016/j.jbusres.2011.02.020
Tili, T.R., & Barker, G.G. (2015). Communication in intercultural marriages: Managing cultural differences and conflicts. //Southern Communication Journal, 80//(3), 189-210. https://doi.org/10.1080/1041794X.2015.1023826
Kehoe, N.C. (2017). On an inner journey. //Spirituality in Clinical Practice, 4//(2), 158-160. https://doi.org/10.1037/scp0000135
Mor, S., Morris, M., & Joh, J. (2013). Identifying and training adaptive cross-cultural management skills: The crucial role of cultural metacognition. //Academy of Management Learning & Education, 12//(3), 139-161. https://doi.org/10.5465/amle.2012.0202
van der Zwan, J.E., de Vente, W., Huizink, A.C., Bogels, S.M., & de Bruin, E.I. (2015). Physical activity, mindfulness meditation, or heart rate variability biofeedback for stress reduction: A randomized controlled trial. //Applied Psychophysiology and Biofeedback, 40//(4), 257-268. https://doi.org/10.1007/s10484-015-9293-x
Kaufman, S.R., & Hwang, A. (2015). Cultural intelligence and mindfulness in two French banks operating in the US environment. //Management Research Review, 38//(9), 930-951. https://doi.org/10.1108/MRR-02-2014-0035
Gross, C.R., Kreitzer, M.J., Russas, V., Treesak, C., Frazier, P.A., & Hertz, M.I. (2004). Mindfulness meditation to reduce symptoms after organ transplant: A pilot study. //Alternative Therapies in Health and Medicine, 10//(3), 58-66.
Trahar, S., & Hyland, F. (2011). Experiences and perceptions of internationalisation in higher education in the UK. //Higher Education Research & Development, 30//(5), 623-633. https://doi.org/10.1080/07294360.2011.598452
Huang, Z.M., Fay, R., & White, R. (2017). Mindfulness and the ethics of intercultural knowledge-work. //Language and Intercultural Communication, 17//(1), 45-57. https://doi.org/10.1080/14708477.2017.1261672
Houser, M.M., Rosen, L., Seagrave, M.P., Grabowski, D., Matthew, J.D., & Craig, W.A.P. (2013). Exercise heart rate monitors for anxiety treatment in a rural primary care setting: A pilot study. //Family Medicine, 45//(9), 615-621.
Mullins, J.L. (2011). A framework for cultivating and increasing child welfare workers' empathy toward parents. //Journal of Social Service Research, 37//(3), 242-253. https://doi.org/10.1080/01488376.2011.564030
Kashima, E.S., Greiner, T., Sadewo, G., Ampuni, S., Helou, L., Nguyen, V.A., ... & Kaspar, K. (2017). Open- and closed-mindedness in cross-cultural adaptation: The roles of mindfulness and need for cognitive closure. //International Journal of Intercultural Relations, 59//, 31-42. https://doi.org/10.1016/j.ijintrel.2017.05.001
de Bruin, E.I., van der Zwan, J.E., & Bogels, S.M. (2016). A RCT comparing daily mindfulness meditations, biofeedback exercises, and daily physical exercise on attention control, executive functioning, mindful awareness, self-compassion, and worrying in stressed young adults. //Mindfulness, 7//(5), 1182-1192. https://doi.org/10.1007/s12671-016-0561-5
Weitz, M.V., Fisher, K., & Lachman, V.D. (2012). The journey of women with breast cancer who engage in mindfulness-based stress reduction: A qualitative exploration. //Holistic Nursing Practice, 26//(1), 22-29. https://doi.org/10.1097/HNP.0b013e31823c008b
Ratanasiripong, P., Park, J.F., Ratanasiripong, N., & Kathalae, D. (2015). Stress and anxiety management in nursing students: Biofeedback and mindfulness meditation. //Journal of Nursing Education, 54//(9), 520-524. https://doi.org/10.3928/01484834-20150814-07
Bennett, R.J., Volet, S.E., & Fozdar, F.E. (2013). I'd say it's kind of unique in a way: The development of an intercultural student relationship. //Journal of Studies in International Education, 17//(5), 533-553. https://doi.org/10.1177/1028315312474937
Gross, C.R., Kreitzerb, M.J., Reilly-Spong, M., Winbush, N.Y., Schomaker, E.K., & Thomas, W. (2009). Mindfulness meditation training to reduce symptom distress in transplant patients: Rationale, design, and experience with a recycled waitlist. //Clinical Trials, 6//(1), 76-89. https://doi.org/10.1177/1740774508100982
Dietz, J., Fitzsimmons, S.R., Aycan, Z., Francesco, A.M., Jonsen, K., Osland, J., ... & Boyacigiller, N.A. (2017). Cross-cultural management education rebooted creating positive value through scientific mindfulness. //Cross Cultural & Strategic Management, 24//(1), 125-151. https://doi.org/10.1108/CCSM-01-2016-0010
Leong, F.T.L. (1996). Toward an integrative model for cross-cultural counseling and psychotherapy. //Applied & Preventive Psychology, 5//(4), 189-209. https://doi.org/10.1016/S0962-1849(96)80012-6
Stonnington, C.M., Darby, B., Santucci, A., Mulligan, P., Pathuis, P., Cuc, A., ... & Sood, A. (2016). A resilience intervention involving mindfulness training for transplant patients and their caregivers. //Clinical Transplantation, 30//(11), 1466-1472. https://doi.org/10.1111/ctr.12841
Jankowski, P.J., & Sandage, S.J. (2014). Meditative prayer and intercultural competence: Empirical test of a differentiation-based model. //Mindfulness, 5//(4), 360-372. https://doi.org/10.1007/s12671-012-0189-z
Lalande, L., King, R., Bambling, M., & Schweitzer, R.D. (2017). An uncontrolled clinical trial of guided respiration mindfulness therapy (grmt) in the treatment of depression and anxiety. //Journal of Contemporary Psychotherapy, 47//(4), 251-258. https://doi.org/10.1007/s10879-017-9360-0
Ghorbani, N., Watson, P.J., & Weathington, B.L. (2009). Mindfulness in Iran and the United States: Cross-cultural structural complexity and parallel relationships with psychological adjustment. //Current Psychology, 28//(4), 211-224. https://doi.org/10.1007/s12144-009-9060-3
Jon, J.E. (2013). Realizing internationalization at home in Korean higher education: Promoting domestic students' interaction with international students and intercultural competence. //Journal of Studies in International Education, 17//(4), 455-470. https://doi.org/10.1177/1028315312468329
Dlaska, A. (2013). The role of foreign language programmes in internationalising learning and teaching in higher education. //Teaching in Higher Education, 18//(3), 260-271. https://doi.org/10.1080/13562517.2012.696538
[img[tps68.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Loureiro, S.M.C., & Fialho, A.F. (2017). The role of intrinsic in-flight cues in relationship quality and behavioural intentions: Segmentation in less mindful and mindful passengers. //Journal of Travel & Tourism Marketing, 34//(7), 948-962. https://doi.org/10.1080/10548408.2016.1251871
Landau, C., Mitnik, I., Cohen-Mansfield, J., Tillinger, E., Friedman, E., & Lev-Ari, S. (2016). Inquiry-based stress reduction (IBSR) meditation technique for BRCA1/2 mutation carriers—A qualitative study. //European Journal of Integrative Medicine, 8//(6), 958-964. https://doi.org/10.1016/j.eujim.2016.04.001
Zeng, X.L., Chan, V.Y.L., Oei, T.P.S., Leung, F.Y.K., & Liu, X.P. (2017). Appreciative joy in Buddhism and positive empathy in psychology: How do they differ?. //Mindfulness, 8//(5), 1184-1194. https://doi.org/10.1007/s12671-017-0690-5
Zeng, X.L., Liao, R., Zhang, R.R., Oei, T.P.S., Yao, Z.H., Leung, F.Y.K., ... & Liu, X.P. (2017). Development of the Appreciative Joy Scale. //Mindfulness, 8//(2), 286-299. https://doi.org/10.1007/s12671-016-0599-4
Sharpe, L., Perry, K.N., Rogers, P., Dear, B.F., Nicholas, M.K., & Refshauge, K. (2010). A comparison of the effect of attention training and relaxation on responses to pain. //Pain, 150//(3), 469-476. https://doi.org/10.1016/j.pain.2010.05.027
Konrad, A., Isaacs, E., & Whittaker, S. (2016). Technology-mediated memory: Is technology altering our memories and interfering with well-being?. //ACM Transactions on Computer-human Interaction, 23//(4), 23. https://doi.org/10.1145/2934667
Kobayashi, S., & Koitabashi, K. (2016). Effects of progressive muscle relaxation on cerebral activity: An fMRI investigation. //Complementary Therapies in Medicine, 26//, 33-39. https://doi.org/10.1016/j.ctim.2016.02.010
Fergus, T.A., Wheless, N.E., & Wright, L.C. (2014). The attention training technique, self-focused attention, and anxiety: A laboratory-based component study. //Behaviour Research and Therapy, 61//, 150-155. https://doi.org/10.1016/j.brat.2014.08.007
Khalifian, C.E., & Barry, R.A. (2016). Trust, attachment, and mindfulness influence intimacy and disengagement during newlyweds' discussions of relationship transgressions. //Journal of Family Psychology, 30//(5), 592-601. https://doi.org/10.1037/fam0000194
Lancaster, S.L., Klein, K.P., & Knightly, W. (2016). Mindfulness and relaxation: A comparison of brief, laboratory-based interventions. //Mindfulness, 7//(3), 614-621. https://doi.org/10.1007/s12671-016-0496-x
Feldman, G., Greeson, J., & Senville, J. (2010). Differential effects of mindful breathing, progressive muscle relaxation, and loving-kindness meditation on decentering and negative reactions to repetitive thoughts. //Behaviour Research and Therapy, 48//(10), 1002-1011. https://doi.org/10.1016/j.brat.2010.06.006
Nasser, J.D., & Przeworski, A. (2017). A comparison of two brief present moment awareness training paradigms in high worriers. //Mindfulness, 8//(3), 775-787. https://doi.org/10.1007/s12671-016-0656-z
Shiralkar, M.T., Harris, T.B., Eddins-Folensbee, F.F., & Coverdale, J.H. (2013). A systematic review of stress-management programs for medical students. //Academic Psychiatry, 37//(3), 158-164. https://doi.org/10.1176/appi.ap.12010003
Bageant, R. (2012). The Hakomi method: Defining its place within the humanistic psychology tradition. //Journal of Humanistic Psychology, 52//(2), 178-189. https://doi.org/10.1177/0022167811423313
Lanham, H.J., Palmer, R.F., Leykum, L.K., McDaniel, R.R., Nutting, P.A., Stange, K.C., ... & Jaen, C.R. (2016). Trust and reflection in primary care practice redesign. //Health Services Research, 51//(4), 1489-1514. https://doi.org/10.1111/1475-6773.12415
Taraban, O., Heide, F., Woollacott, M., & Chan, D. (2017). The effects of a mindful listening task on mind-wandering. //Mindfulness, 8//(2), 433-443. https://doi.org/10.1007/s12671-016-0615-8
Hughes, J.W., Fresco, D.M., Myerscough, R., van Dulmen, M.H.M., Carlson, L.E., & Josephson, R. (2013). Randomized controlled trial of mindfulness-based stress reduction for prehypertension. //Psychosomatic Medicine, 75//(8), 721-728. https://doi.org/10.1097/PSY.0b013e3182a3e4e5
Peters, E., Ward, T., Jackson, M., Morgan, C., Charalambides, M., McGuire, P., ... & Garety, P.A. (2016). Clinical, socio-demographic and psychological characteristics in individuals with persistent psychotic experiences with and without a "need for care". //World Psychiatry, 15//(1), 41-52. https://doi.org/10.1002/wps.20301
Kraus, S., & Sears, S. (2009). Measuring the immeasurables: Development and initial validation of the self-other four immeasurables (SOFI) scale based on Buddhist teachings on loving kindness, compassion, joy, and equanimity. //Social Indicators Research, 92//(1), 169-181. https://doi.org/10.1007/s11205-008-9300-1
Agee, J.D., Danoff-Burg, S., & Grant, C.A. (2009). Comparing brief stress management courses in a community sample: Mindfulness skills and progressive muscle relaxation. //Explore: The Journal of Science and Healing, 5//(2), 104-109. https://doi.org/10.1016/j.explore.2008.12.004
Levin, M.E., Hildebrandt, M.J., Lillis, J., & Hayes, S.C. (2012). The impact of treatment components suggested by the psychological flexibility model: A meta-analysis of laboratory-based component studies. //Behavior Therapy, 43//(4), 741-756. https://doi.org/10.1016/j.beth.2012.05.003
Lim, Y.J. (2017). Relationship between positive mental health and appreciation in Korean individuals. //International Journal of Psychology, 52//(3), 220-226. https://doi.org/10.1002/ijop.12220
Hoy, W.K., Gage, C.Q., & Tarter, C.J. (2006). School mindfulness and faculty trust: Necessary conditions for each other?. //Educational Administration Quarterly, 42//(2), 236-255. https://doi.org/10.1177/0013161X04273844
Fresco, D.M., Mennin, D.S., Heimberg, R.G., & Ritter, M. (2013). Emotion regulation therapy for generalized anxiety disorder. //Cognitive and Behavioral Practice, 20//(3), 282-300. https://doi.org/10.1016/j.cbpra.2013.02.001
McEvoy, P.M., Graville, R., Hayes, S., Kane, R.T., & Foster, J.K. (2017). Mechanisms of change during attention training and mindfulness in high trait-anxious individuals: A randomized controlled study. //Behavior Therapy, 48//(5), 678-694.
Ostafin, B.D., Kassman, K.T., & Wessel, I. (2013). Breaking the cycle of desire: Mindfulness and executive control weaken the relation between an implicit measure of alcohol valence and preoccupation with alcohol-related thoughts. //Psychology of Addictive Behaviors, 27//(4), 1153-1158. https://doi.org/10.1037/a0032621
Batt, R., & O'Hare, D. (2005). Pilot behaviors in the face of adverse weather: A new look at an old problem. //Aviation Space and Environmental Medicine, 76//(6), 552-559.
Marcel, A.J. (2003). Introspective report - trust, self-knowledge and science. //Journal of Consciousness Studies, 10//(9-10), 167-186.
North, R.J., & Swann, W.B. (2009). Self-verification 360 degrees: Illuminating the light and dark sides. //Self and Identity, 8//(42769), 131-146. https://doi.org/10.1080/15298860802501516
[img[tps69.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Mason, A.E., Lustig, R.H., Brown, R.R., Acree, M., Bacchetti, P., Moran, P.J., ... & Epel, E.S. (2015). Acute responses to opioidergic blockade as a biomarker of hedonic eating among obese women enrolled in a mindfulness-based weight loss intervention trial. //Appetite, 91//, 311-320. https://doi.org/10.1016/j.appet.2015.04.062
Daubenmier, J., Lustig, R.H., Hecht, F.M., Kristeller, J., Woolley, J., Adam, T., ... & Epel, E. (2014). A new biomarker of hedonic eating? A preliminary investigation of cortisol and nausea responses to acute opioid blockade. //Appetite, 74//, 92-100. https://doi.org/10.1016/j.appet.2013.11.014
Sala, M., & Levinson, C.A. (2017). A longitudinal study on the association between facets of mindfulness and disinhibited eating. //Mindfulness, 8//(4), 893-902. https://doi.org/10.1007/s12671-016-0663-0
Mason, A.E., Epel, E.S., Aschbacher, K., Lustig, R.H., Acree, M., Kristeller, J., ... & Daubenmier, J. (2016). Reduced reward-driven eating accounts for the impact of a mindfulness-based diet and exercise intervention on weight loss: Data from the shine randomized controlled trial. //Appetite, 100//, 86-93. https://doi.org/10.1016/j.appet.2016.02.009
Hutchinson, A.D., Charters, M., Prichard, I., Fletcher, C., & Wilson, C. (2017). Understanding maternal dietary choices during pregnancy: The role of social norms and mindful eating. //Appetite, 112//, 227-234. https://doi.org/10.1016/j.appet.2017.02.004
Kristeller, J., Wolever, R.Q., & Sheets, V. (2014). Mindfulness-Based Eating Awareness Training (MB-EAT) for Binge Eating: A Randomized Clinical Trial. //Mindfulness, 5//(3), 282-297. https://doi.org/10.1007/s12671-012-0179-1
Hong, P.Y., Lishner, D.A., & Han, K.H. (2014). Mindfulness and eating: An experiment examining the effect of mindful raisin eating on the enjoyment of sampled food. //Mindfulness, 5//(1), 80-87. https://doi.org/10.1007/s12671-012-0154-x
Jordan, C.H., Wang, W., Donatoni, L., & Meier, B.P. (2014). Mindful eating: Trait and state mindfulness predict healthier eating behavior. //Personality and Individual Differences, 68//, 107-111. https://doi.org/10.1016/j.paid.2014.04.013
O'Brien, K.S., Latner, J.D., Puhl, R.M., Vartanian, L.R., Giles, C., Griva, K., ... & Carter, A. (2016). The relationship between weight stigma and eating behavior is explained by weight bias internalization and psychological distress. //Appetite, 102//, 70-76. https://doi.org/10.1016/j.appet.2016.02.032
Pinto-Gouveia, J., Carvalho, S.A., Palmeira, L., Castilho, P., Duarte, C., Ferreira, C., ... & Costa, J. (2017). BEfree: A new psychological program for binge eating that integrates psychoeducation, mindfulness, and compassion. //Clinical Psychology & Psychotherapy, 24//(5), 1090-1098. https://doi.org/10.1002/cpp.2072
Juarascio, A., Forman, E., Timko, C.A., Butryn, M., & Goodwin, C. (2011). The development and validation of the food craving acceptance and action questionnaire (FAAP). //Eating Behaviors, 12//(3), 182-187. https://doi.org/10.1016/j.eatbeh.2011.04.008
Tylka, T.L., Eneli, I.U., Van Diest, A.M.K., & Lumeng, J.C. (2013). Which adaptive maternal eating behaviors predict child feeding practices? An examination with mothers of 2- to 5-year-old children. //Eating Behaviors, 14//(1), 57-63. https://doi.org/10.1016/j.eatbeh.2012.10.014
Compare, A., Callus, E., & Grossi, E. (2012). Mindfulness trait, eating behaviours and body uneasiness: A case-control study of binge eating disorder. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 17//(4), E244-E251. https://doi.org/10.3275/8652
Chung, S.Y., Zhu, S.J., Friedmann, E., Kelleher, C., Kozlovsky, A., Macfarlane, K.W., ... & Griffith, K.A. (2016). Weight loss with mindful eating in African American women following treatment for breast cancer: A longitudinal study. //Supportive Care in Cancer, 24//(4), 1875-1881. https://doi.org/10.1007/s00520-015-2984-2
Rogerson, D., Soltani, H., & Copeland, R. (2016). The weight-loss experience: A qualitative exploration. //BMC Public Health, 16//, 371. https://doi.org/10.1186/s12889-016-3045-6
Daly, P., Pace, T., Berg, J., Menon, U., & Szalacha, L.A. (2016). A mindful eating intervention: A theory-guided randomized anti-obesity feasibility study with adolescent Latino females. //Complementary Therapies in Medicine, 28//, 22-28. https://doi.org/10.1016/j.ctim.2016.07.006
Fisher, N., Lattimore, P., & Malinowski, P. (2016). Attention with a mindful attitude attenuates subjective appetitive reactions and food intake following food-cue exposure. //Appetite, 99//, 10-16. https://doi.org/10.1016/j.appet.2015.12.009
Kristeller, J.L. (2016). The Struggle Continues: Addressing Concerns About Eating and Weight for Older Women’s Well-Being. //Women & Therapy, 39//(42737), 202-212. https://doi.org/10.1080/02703149.2016.1116855
Miller, C.K., Kristeller, J.L., Headings, A., & Nagaraja, H. (2014). Comparison of a mindful eating intervention to a diabetes self-management intervention among adults with type 2 diabetes: A randomized controlled trial. //Health Education & behavior, 41//(2), 145-154. https://doi.org/10.1177/1090198113493092
Higgs, S., & Donohoe, J.E. (2011). Focusing on food during lunch enhances lunch memory and decreases later snack intake. //Appetite, 57//(1), 202-206. https://doi.org/10.1016/j.appet.2011.04.016
Duarte, C., & Pinto-Gouveia, J. (2015). Returning to emotional eating: The emotional eating scale psychometric properties and associations with body image flexibility and binge eating. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 20//(4), 497-504. https://doi.org/10.1007/s40519-015-0186-z
Dalen, J., Smith, B.W., Shelley, B.M., Sloan, A.L., Leahigh, L., & Begay, D. (2010). Pilot study: Mindful Eating and Living (MEAL): Weight, eating behavior, and psychological outcomes associated with a mindfulness-based intervention for people with obesity. //Complementary Therapies in Medicine, 18//(6), 260-264. https://doi.org/10.1016/j.ctim.2010.09.008
Carey, J.B., Saules, K.K., & Carr, M.M. (2017). A qualitative analysis of men's experiences of binge eating. //Appetite, 116//, 184-195. https://doi.org/10.1016/j.appet.2017.04.030
Pivarunas, B., Kelly, N.R., Pickworth, C.K., Cassidy, O., Radin, R.M., Shank, L.M., ... & Shomaker, L.B. (2015). Mindfulness and eating behavior in adolescent girls at risk for type 2 diabetes. //International Journal of Eating Disorders, 48//(6), 563-569. https://doi.org/10.1002/eat.22435
Palmeira, L., Pinto-Gouveia, J., & Cunha, M. (2017). Exploring the efficacy of an acceptance, mindfulness & compassionate-based group intervention for women struggling with their weight (kg-free): A randomized controlled trial. //Appetite, 112//, 107-116. https://doi.org/10.1016/j.appet.2017.01.027
Lauche, R., Sibbritt, D., Ostermann, T., Fuller, N.R., Adams, J., & Cramer, H. (2017). Associations between yoga/meditation use, body satisfaction, and weight management methods: Results of a national cross-sectional survey of 8009 Australian women. //Nutrition, 34//, 58-64. https://doi.org/10.1016/j.nut.2016.09.007
Cowdrey, F.A., & Park, R.J. (2012). The role of experiential avoidance, rumination and mindfulness in eating disorders. //Eating Behaviors, 13//(2), 100-105. https://doi.org/10.1016/j.eatbeh.2012.01.001
Marchiori, D., & Papies, E.K. (2014). A brief mindfulness intervention reduces unhealthy eating when hungry, but not the portion size effect. //Appetite, 75//, 40-45. https://doi.org/10.1016/j.appet.2013.12.009
Breland, J.Y., Donalson, R., Dinh, J., Nevedal, A., & Maguen, S. (2016). Women veterans' treatment preferences for disordered eating. //Women’s Health Issues, 26//(4), 429-436. https://doi.org/10.1016/j.whi.2016.04.006
Klein, A.S., Skinner, J.B., & Hawley, K.M. (2013). Targeting binge eating through components of dialectical behavior therapy: Preliminary outcomes for individually supported diary card self-monitoring versus group-based DBT. //Psychotherapy, 50//(4), 543-552. https://doi.org/10.1037/a0033130
Naumann, E., Tuschen-Caffier, B., Voderholzer, U., Schafer, J., & Svaldi, J. (2016). Effects of emotional acceptance and rumination on media-induced body dissatisfaction in anorexia and bulimia nervosa. //Journal of Psychiatric Research, 82//, 119-125. https://doi.org/10.1016/j.jpsychires.2016.07.021
Forman, E.M., Shaw, J.A., Goldstein, S.P., Butryn, M.L., Martin, L.M., Meiran, N., ... & Manasse, S.M. (2016). Mindful decision making and inhibitory control training as complementary means to decrease snack consumption. //Appetite, 103//, 176-183. https://doi.org/10.1016/j.appet.2016.04.014
Arch, J.J., Brown, K.W., Goodman, R.J., Della Porta, M.D., Kiken, L.G., & Tillman, S. (2016). Enjoying food without caloric cost: The impact of brief mindfulness on laboratory eating outcomes. //Behaviour Research and Therapy, 79//, 23-34. https://doi.org/10.1016/j.brat.2016.02.002
Hill, M.L., Masuda, A., Melcher, H., Morgan, J.R., & Twohig, M.P. (2015). Acceptance and commitment therapy for women diagnosed with binge eating disorder: A case-series study. //Cognitive and Behavioral Practice, 22//(3), 367-378. https://doi.org/10.1016/j.cbpra.2014.02.005
Moore, M., Masuda, A., Hill, M.L., & Goodnight, B.L. (2014). Body Image flexibility moderates the association between disordered eating cognition and disordered eating behavior in a non-clinical sample of women: A cross-sectional investigation. //Eating Behaviors, 15//(4), 664-669. https://doi.org/10.1016/j.eatbeh.2014.08.021
Dunn, C., Whetstone, L.M., Kolasa, K.M., Jayaratne, K.S.U., Thomas, C., Aggarwal, S., ... & Rogers, A.B. (2013). Delivering a behavior-change weight management program to teachers and state employees in North Carolina. //American Journal of Health Promotion, 27//(6), 378-383. https://doi.org/10.4278/ajhp.120221-QUAN-101
Kearney, D.J., Milton, M.L., Malte, C.A., McDermott, K.A., Martinez, M., & Simpson, T.L. (2012). Participation in mindfulness-based stress reduction is not associated with reductions in emotional eating or uncontrolled eating. //Nutrition Research, 32//(6), 413-420. https://doi.org/10.1016/j.nutres.2012.05.008
Mason, A.E., Epel, E.S., Kristeller, J., Moran, P.J., Dallman, M., Lustig, R.H., ... & Daubenmier, J. (2016). Effects of a mindfulness-based intervention on mindful eating, sweets consumption, and fasting glucose levels in obese adults: Data from the shine randomized controlled trial. //Journal of Behavioral Medicine, 39//(2), 201-213. https://doi.org/10.1007/s10865-015-9692-8
Barrington, W.E., Ceballos, R.M., Bishop, S.K., McGregor, B.A., & Beresford, S.A.A. (2012). Perceived stress, behavior, and body mass index among adults participating in a worksite obesity prevention program, Seattle, 2005-2007. //Preventing Chronic Disease, 9//. https://doi.org/10.5888/pcd9.120001
Apolzan, J.W., Myers, C.A., Cowley, A.D., Brady, H., Hsia, D.S., Stewart, T.M., ... & Martin, C.K. (2016). Examination of the reliability and validity of the Mindful Eating Questionnaire in pregnant women. //Appetite, 100//, 142-151. https://doi.org/10.1016/j.appet.2016.02.025
Forman, E.M., Butryn, M.L., Hoffman, K.L., & Herbert, J.D. (2009). An open trial of an acceptance-based behavioral intervention for weight loss. //Cognitive and Behavioral Practice, 16//(2), 223-235.
Framson, C., Kristal, A.R., Schenk, J.M., Littman, A.J., Zeliadt, S., & Benitez, D. (2009). Development and validation of the Mindful Eating Questionnaire. //Journal of the American Dietetic Association, 109//(8), 1439-1444. https://doi.org/10.1016/j.jada.2009.05.006
Fukkoshi, Y., Akamatsu, R., & Shimpo, M. (2015). The relationship of eating until 80% full with types and energy values of food consumed. //Eating Behaviors, 17//, 153-156. https://doi.org/10.1016/j.eatbeh.2015.03.001
Ouwens, M.A., Schiffer, A.A., Visser, L.I., Raeijmaekers, N.J.C., & Nyklicek, I. (2015). Mindfulness and eating behaviour styles in morbidly obese males and females. //Appetite, 87//, 62-67. https://doi.org/10.1016/j.appet.2014.11.030
Mazzeo, S.E., Kelly, N.R., Stern, M., Palmberg, A.A., Belgrave, F.Z., Tanofsky-Kraff, M., ... & Bulik, C.M. (2013). LIBER8 design and methods: An integrative intervention for loss of control eating among African American and white adolescent girls. //Contemporary Clinical Trials, 34//(1), 174-185. https://doi.org/10.1016/j.cct.2012.10.012
Juarascio, A.S., Manasse, S.M., Espel, H.M., Schumacher, L.M., Kerrigan, S., & Forman, E.M. (2017). A pilot study of an acceptance-based behavioral treatment for binge eating disorder. //Journal of Contextual Behavioral Science, 6//(1), 1-7. https://doi.org/10.1016/j.jcbs.2016.12.003
Starkman, H. (2016). An integrative group treatment model for women with binge eating disorder: Mind, body and self in connection. //Clinical Social Work Journal, 44//(1), 57-68. https://doi.org/10.1007/s10615-015-0571-0
Reed, J.R., Yates, B.C., Houfek, J., Pullen, C.H., Briner, W., & Schmid, K.K. (2016). Eating self-regulation in overweight and obese adults: A concept analysis. //Nursing Forum, 51//(2), 105-116. https://doi.org/10.1111/nuf.12125
Leahey, T.M., Crowther, J.H., & Irwin, S.R. (2008). A cognitive-behavioral mindfulness group therapy intervention for the treatment of binge eating in bariatric surgery patients. //Cognitive and Behavioral Practice, 15//(4), 364-375. https://doi.org/10.1016/j.cbpra.2008.01.004
Tak, S.R., Hendrieckx, C., Nefs, G., Nyklicek, I., Speight, J., & Pouwer, F. (2015). The association between types of eating behaviour and dispositional mindfulness in adults with diabetes. Results from Diabetes MILES. The Netherlands. //Appetite, 87//, 288-295. https://doi.org/10.1016/j.appet.2015.01.006
Vogel, E. (2017). Hungers that need feeding: On the normativity of mindful nourishment. //Anthropology & Medicine, 24//(2), 159-173. https://doi.org/10.1080/13648470.2016.1276322
Mantzios, M., Wilson, J.C., Linnell, M., & Morris, P. (2015). The role of negative cognition, intolerance of uncertainty, mindfulness, and self-compassion in weight regulation among male army recruits. //Mindfulness, 6//(3), 545-552. https://doi.org/10.1007/s12671-014-0286-2
Lazarevic, J., Batinic, B., & Vukosavljevic-Gvozden, T. (2016). Risk factors and the prevalence of anorexia nervosa among female students in Serbia. //Vojnosanitetski Pregled, 73//(1), 34-41. https://doi.org/10.2298/VSP130709121L
Emley, E.A., Taylor, M.B., & Musher-Eizenman, D.R. (2017). Mindful feeding and child dietary health. //Eating Behaviors, 24//, 89-94. https://doi.org/10.1016/j.eatbeh.2016.12.002
Bush, H.E., Rossy, L., Mintz, L.B., & Schopp, L. (2014). Eat for life: A work site feasibility study of a novel mindfulness-based intuitive eating intervention. //American Journal of Health Promotion, 28//(6), 380-388. https://doi.org/10.4278/ajhp.120404-QUAN-186
Corsica, J., Hood, M.M., Katterman, S., Kleinman, B., & Ivan, I. (2014). Development of a novel mindfulness and cognitive behavioral intervention for stress-eating: A comparative pilot study. //Eating Behaviors, 15//(4), 694-699. https://doi.org/10.1016/j.eatbeh.2014.08.002
Martin, R., Prichard, I., Hutchinson, A.D., & Wilson, C. (2013). The role of body awareness and mindfulness in the relationship between exercise and eating behavior. //Journal of Sport & Exercise Psychology, 35//(6), 655-660.
Masuda, A., Hill, M.L., & Tone, E.B. (2012). The role of mindfulness and disordered eating cognitions in psychological distress among college females with elevated disordered eating. //Mindfulness, 3//(2), 132-138. https://doi.org/10.1007/s12671-012-0087-4
Barnes, R.D., & Tantleff-Dunn, S. (2010). Food for thought: Examining the relationship between food thought suppression and weight-related outcomes. //Eating Behaviors, 11//(3), 175-179. https://doi.org/10.1016/j.eatbeh.2010.03.001
Chacko, S.A., Yeh, G.Y., Davis, R.B., & Wee, C.C. (2016). A mindfulness-based intervention to control weight after bariatric surgery: Preliminary results from a randomized controlled pilot trial. //Complementary Therapies in Medicine, 28//, 13-21. https://doi.org/10.1016/j.ctim.2016.07.001
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
Beshara, M., Hutchinson, A.D., & Wilson, C. (2013). Does mindfulness matter? Everyday mindfulness, mindful eating and self-reported serving size of energy dense foods among a sample of South Australian adults. //Appetite, 67//, 25-29. https://doi.org/10.1016/j.appet.2013.03.012
Adams, C.E., McVay, M.A., Kinsaul, J., Benitez, L., Vinci, C., Stewart, D.W., ... & Copeland, A.L. (2012). Unique relationships between facets of mindfulness and eating pathology among female smokers. //Eating Behaviors, 13//(4), 390-393. https://doi.org/10.1016/j.eatbeh.2012.05.009
Sairanen, E., Tolvanen, A., Karhunen, L., Kolehmainen, M., Jarvela, E., Rantala, S., ... & Lappalainen, R. (2015). Psychological flexibility and mindfulness explain intuitive eating in overweight adults. //Behavior Modification, 39//(4), 557-579. https://doi.org/10.1177/0145445515576402
Rogers, J.M., Ferrari, M., Mosely, K., Lang, C.P., & Brennan, L. (2017). Mindfulness-based interventions for adults who are overweight or obese: A meta-analysis of physical and psychological health outcomes. //Obesity Reviews, 18//(1), 51-67. https://doi.org/10.1111/obr.12461
Masuda, A., Price, M., & Latzman, R.D. (2012). Mindfulness moderates the relationship between disordered eating cognitions and disordered eating behaviors in a non-clinical college sample. //Journal of Psychopathology and Behavioral Assessment, 34//(1), 107-115. https://doi.org/10.1007/s10862-011-9252-7
Mantzios, M., & Wilson, J.C. (2015). Exploring mindfulness and mindfulness with self-compassion-centered interventions to assist weight loss: Theoretical considerations and preliminary results of a randomized pilot study. //Mindfulness, 6//(4), 824-835. https://doi.org/10.1007/s12671-014-0325-z
Fisher, N.R., Mead, B.R., Lattimore, P., & Malinowski, P. (2017). Dispositional mindfulness and reward motivated eating: The role of emotion regulation and mental habit. //Appetite, 118//, 41-48. https://doi.org/10.1016/j.appet.2017.07.019
Levoy, E., Lazaridou, A., Brewer, J., & Fulwiler, C. (2017). An exploratory study of mindfulness based stress reduction for emotional eating. //Appetite, 109//, 124-130. https://doi.org/10.1016/j.appet.2016.11.029
Barnes, R.D., & Tantleff-Dunn, S. (2010). A preliminary investigation of sex differences and the mediational role of food thought suppression in the relationship between stress and weight cycling. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 15//(4), E265-E269. https://doi.org/10.1007/BF03325308.
Ruffault, A., Carette, C., Puerto, K.L.I., Juge, N., Beauchet, A., Benoliel, J.J., ... & Flahault, C. (2016). Randomized controlled trial of a 12-month computerized mindfulness-based intervention for obese patients with binge eating disorder: The MindOb study protocol. //Contemporary Clinical Trials, 49//, 126-133. https://doi.org/10.1016/j.cct.2016.06.012
Tapper, K., Shaw, C., Ilsley, J., Hill, A.J., Bond, F.W., & Moore, L. (2009). Exploratory randomised controlled trial of a mindfulness-based weight loss intervention for women. //Appetite, 52//(2), 396-404. https://doi.org/10.1016/j.appet.2008.11.012
May, J., Andrade, J., Batey, H., Berry, L.M., & Kavanagh, D.J. (2010). Less food for thought. impact of attentional instructions on intrusive thoughts about snack foods. //Appetite, 55//(2), 279-287. https://doi.org/10.1016/j.appet.2010.06.014
Baer, R.A., Fischer, S., & Huss, D.B. (2005). Mindfulness-based cognitive therapy applied to binge eating: A case study. //Cognitive and Behavioral Practice, 12//(3), 351-358. https://doi.org/10.1016/S1077-7229(05)80057-4
Singh, N.N., Lancioni, G.E., Singh, A.N., Winton, A.S.W., Singh, J., McAleavey, K.M., ... & Adkins, A.D. (2008). A mindfulness-based health wellness program for an adolescent with Prader-Willi syndrome. //Behavior Modification, 32//(2), 167-181. https://doi.org/10.1177/01454407308582
Marek, R.J., Ben-Porath, D.D., Federici, A., Wisniewski, L., & Warren, M. (2013). Targeting premeal anxiety in eating disordered clients and normal controls: A preliminary investigation into the use of mindful eating vs. distraction during food exposure. //International Journal of Eating Disorders, 46//(6), 582-585. https://doi.org/10.1002/eat.22152
Alberts, H.J.E.M., Thewissen, R., & Raes, L. (2012). Dealing with problematic eating behaviour. The effects of a mindfulness-based intervention on eating behaviour, food cravings, dichotomous thinking and body image concern. //Appetite, 58//(3), 847-851. https://doi.org/10.1016/j.appet.2012.01.009
Levin, M.E., Dalrymple, K., Himes, S., & Zimmerman, M. (2014). Which facets of mindfulness are related to problematic eating among patients seeking bariatric surgery?. //Eating Behaviors, 15//(2), 298-305. https://doi.org/10.1016/j.eatbeh.2014.03.012
Betts, K.R., & Hinsz, V.B. (2015). Mindful attention and awareness predict self-reported food safety practices in the food service industry. //Current Psychology, 34//(2), 191-206. https://doi.org/10.1007/s12144-014-9251-4
Verplanken, B., & Tangelder, Y. (2011). No body is perfect: The significance of habitual negative thinking about appearance for body dissatisfaction, eating disorder propensity, self-esteem and snacking. //Psychology & Health, 26//(6), 685-701. https://doi.org/10.1080/08870441003763246
Rejeski, W.J., Mihalko, S.L., Ambrosius, W.T., Bearon, L.B., & McClelland, J.W. (2011). Weight loss and self-regulatory eating efficacy in older adults: The cooperative lifestyle intervention program. //Journals of Gerontology Series B-psychological Sciences and Social Sciences, 66//(3), 279-286. https://doi.org/10.1093/geronb/gbq104
McKee, H.C., & Ntoumanis, N. (2014). Developing self-regulation for dietary temptations: Intervention effects on physical, self-regulatory and psychological outcomes. //Journal of Behavioral Medicine, 37//(6), 1075-1081. https://doi.org/10.1007/s10865-014-9557-6
Palmeira, L., Trindade, I.A., & Ferreira, C. (2014). Can the impact of body dissatisfaction on disordered eating be weakened by one's decentering abilities?. //Eating Behaviors, 15//(3), 392-396. https://doi.org/10.1016/j.eatbeh.2014.04.012
Mantzios, M., & Giannou, K. (2014). Group vs. single mindfulness meditation: Exploring avoidance, impulsivity, and weight management in two separate mindfulness meditation settings. //Applied Psychology-health and Well Being, 6//(2), 173-191. https://doi.org/10.1111/aphw.12023
Clementi, C., Casu, G., & Gremigni, P. (2017). An abbreviated version of the Mindful Eating Questionnaire. //Journal of Nutrition Education and Behavior, 49//(4), 352-356. https://doi.org/10.1016/j.jneb.2017.01.016
Lattimore, P., Mead, B.R., Irwin, L., Grice, L., Carson, R., & Malinowski, P. (2017). 'I can't accept that feeling': Relationships between interoceptive awareness, mindfulness and eating disorder symptoms in females with, and at-risk of an eating disorder. //Psychiatry Research, 247//, 163-171. https://doi.org/10.1016/j.psychres.2016.11.022
Atkinson, M.J., & Wade, T.D. (2016). Does mindfulness have potential in eating disorders prevention? A preliminary controlled trial with young adult women. //Early Intervention in Psychiatry, 10//(3), 234-245. https://doi.org/10.1111/eip.12160
Woolhouse, H., Knowles, A., & Crafti, N. (2012). Adding mindfulness to CBT programs for binge eating: A mixed-methods evaluation. //Eating Disorders, 20//(4), 321-339. https://doi.org/10.1080/10640266.2012.691791
Tsai, A., Hughes, E.K., Fuller-Tyszkiewicz, M., Buck, K., & Krug, I. (2017). The differential effects of mindfulness and distraction on affect and body satisfaction following food consumption. //Frontiers in Psychology, 8//, 1696. https://doi.org/10.3389/fpsyg.2017.01696
Engstrom, D. (2007). Case study - eating mindfully and cultivating satisfaction: Modifying eating patterns in a bariatric surgery patient. //Bariatric Nursing and Surgical Patient Care, 2//(4), 245-250. https://doi.org/10.1089/bar.2007.9954
Singh, N.N., Lancioni, G.E., Singh, A.N.A., Winton, A.S.W., Singh, A.D.A., & Singh, J. (2011). A mindfulness-based health wellness program for individuals with Prader-Willi syndrome. //Journal of Mental Health research in intellectual disabilities, 4//(2), 90-106. https://doi.org/10.1080/19315864.2011.583489
Alberts, H.J.E.M., Thewissen, R., & Middelweerd, M. (2013). Accepting or suppressing the desire to eat: Investigating the short-term effects of acceptance-based craving regulation. //Eating Behaviors, 14//(3), 405-409. https://doi.org/10.1016/j.eatbeh.2013.06.008
Carmody, J.F., Olendzki, B.C., Merriam, P.A., Liu, Q., Qiao, Y.X., & Ma, Y.S. (2012). A novel measure of dietary change in a prostate cancer dietary program incorporating mindfulness training. //Journal of the Academy of Nutrition and Dietetics, 112//(11), 1822-1827. https://doi.org/10.1016/j.jand.2012.06.008
Hendrickson, K.L., & Rasmussen, E.B. (2013). Effects of mindful eating training on delay and probability discounting for food and money in obese and healthy-weight individuals. //Behaviour Research and Therapy, 51//(7), 399-409. https://doi.org/10.1016/j.brat.2013.04.002
Wilson, D., & O'Connor, E.L. (2017). Mindfulness, personality and disordered eating. //Personality and Individual Differences, 119//, 7-12. https://doi.org/10.1016/j.paid.2017.06.033
Fuller, N.R., Sainsbury, A., Caterson, I.D., Enarsson, M., Denyer, G., Manns, C., ... & Markovic, T.P. (2017). Examining mindfulness as a predictor of weight loss – Findings from the DIABEGG study. //Obesity Research & Clinical Practice, 11//(1), 88-96. https://doi.org/10.1016/j.orcp.2016.03.004
Atkinson, M.J., & Wade, T.D. (2015). Mindfulness-based prevention for eating disorders: A school-based cluster randomized controlled study. //International Journal of Eating Disorders, 48//(7), 1024-1037. https://doi.org/10.1002/eat.22416
Lillis, J., Levin, M.E., & Hayes, S.C. (2011). Exploring the relationship between body mass index and health-related quality of life: A pilot study of the impact of weight self-stigma and experiential avoidance. //Journal of Health Psychology, 16//(5), 722-727. https://doi.org/10.1177/1359105310388321
Fulwiler, C., Brewer, J.A., Sinnott, S., & Loucks, E.B. (2015). Mindfulness-based interventions for weight loss and CVD risk management. //Current Cardiovascular Risk Reports, 9//(10). https://doi.org/10.1007/s12170-015-0474-1
Knol, L.L., Myers, H.H., Black, S., Robinson, D., Awololo, Y., Clark, D., ... & Higginbotham, J.C. (2016). Development and feasibility of a childhood obesity prevention program for rural families: Application of the social cognitive theory. //American Journal of Health Education, 47//(4), 204-214. https://doi.org/10.1080/19325037.2016.1179607
Camilleri, G.M., Mejean, C., Bellisle, F., Hercberg, S., & Peneau, S. (2015). Association between mindfulness and weight status in a general population from the nutrinet-sante study. //PLOS ONE, 10//(6), e01274. https://doi.org/10.1371/journal.pone.0127447
Sampaio, C.V.S., Lima, M.G., & Ladeia, A.M. (2016). Efficacy of healing meditation in reducing anxiety of individuals at the phase of weight loss maintenance: A randomized blinded clinical trial. //Complementary Therapies in Medicine, 29//, 1-8. https://doi.org/10.1016/j.ctim.2016.08.005
Lavender, J.M., Jardin, B.F., & Anderson, D.A. (2009). Bulimic symptoms in undergraduate men and women: Contributions of mindfulness and thought suppression. //Eating Behaviors, 10//(4), 228-231. https://doi.org/10.1016/j.eatbeh.2009.07.002
Fulwiler, C., Siegel, J.A., Allison, J., Rosal, M.C., Brewer, J., & King, J.A. (2016). Keeping weight off: Study protocol of an rct to investigate brain changes associated with mindfulness-based stress reduction. //BMJ Open, 6//(11), e012573. https://doi.org/10.1136/bmjopen-2016-012573
Pidgeon, A., Lacota, K., & Champion, J. (2013). The moderating effects of mindfulness on psychological distress and emotional eating behaviour. //Australian Psychologist, 48//(4), 262-269. https://doi.org/10.1111/j.1742-9544.2012.00091.x
Wade, T., George, W.M., & Atkinson, M. (2009). A randomized controlled trial of brief interventions for body dissatisfaction. //Journal of Consulting and Clinical Psychology, 77//(5), 845-854. https://doi.org/10.1037/a0016879
Paolini, B., Burdette, J.H., Laurienti, P.J., Morgan, A.R., Williamson, D.A., & Rejeski, W.J. (2012). Coping with brief periods of food restriction: Mindfulness matters. //Frontiers in Aging Neuroscience, 4//, 13. https://doi.org/10.3389/fnagi.2012.00013
Prowse, E., Bore, M., & Dyer, S. (2013). Eating disorder symptomatology, body image, and mindfulness: Findings in a non-clinical sample. //Clinical Psychologist, 17//(2), 77-87. https://doi.org/10.1111/cp.12008
Schosler, H., de Boer, J., & Boersema, J.J. (2013). The organic food philosophy: A qualitative exploration of the practices, values, and beliefs of Dutch organic consumers within a cultural-historical frame. //Journal of Agricultural & Environmental Ethics, 26//(2), 439-460. https://doi.org/10.1007/s10806-012-9392-0
Papies, E.K., van Winckel, M., & Keesman, M. (2016). Food-specific decentering experiences are associated with reduced food cravings in meditators: A preliminary investigation. //Mindfulness, 7//(5), 1123-1131. https://doi.org/10.1007/s12671-016-0554-4
Martin, L.M., Plumb-Vilardaga, J.C., & Timko, C.A. (2014). Examining the relationship amongst varieties of interpersonal valuing and mindfulness processes in eating pathology. //Mindfulness, 5//(2), 111-123. https://doi.org/10.1007/s12671-012-0156-8
Palmeira, L., Cunha, M., Pinto-Gouveia, J., Carvalho, S., & Lillis, J. (2016). New developments in the assessment of weight-related experiential avoidance (AAQW-Revised). //Journal of Contextual Behavioral Science, 5//(3), 193-200. https://doi.org/10.1016/j.jcbs.2016.06.001
Forman, E.M., Butryn, M.L., Manasse, S.M., Crosby, R.D., Goldstein, S.P., Wyckoff, E.P., ... & Thomas, J.G. (2016). Acceptance-based versus standard behavioral treatment for obesity: Results from the mind your health randomized controlled trial. //Obesity, 24//(10), 2050-2056. https://doi.org/10.1002/oby.21601
Fazio, R.H., Pietri, E.S., Rocklage, M.D., & Shook, N.J. (2015). Positive versus negative valence: Asymmetries in attitude formation and generalization as fundamental individual differences. //Advances in Experimental Social Psychology, 51//, 97-146. https://doi.org/10.1016/bs.aesp.2014.09.002
Hulbert-Williams, L., Nicholls, W., Joy, J., & Hulbert-Williams, N. (2014). Initial validation of the Mindful Eating Scale. //Mindfulness, 5//(6), 719-729. https://doi.org/10.1007/s12671-013-0227-5
Mantzios, M., & Wilson, J.C. (2014). Making concrete construals mindful: A novel approach for developing mindfulness and self-compassion to assist weight loss. //Psychology & Health, 29//(4), 422-441. https://doi.org/10.1080/08870446.2013.863883
Thomas, M., Vieten, C., Adler, N., Ammondson, I., Coleman-Phox, K., Epel, E., ... & Laraia, B. (2014). Potential for a stress reduction intervention to promote healthy gestational weight gain: Focus groups with low-income pregnant women. //Women’s Health Issues, 24//(3), E305-E311. https://doi.org/10.1016/j.whi.2014.02.004
Tsenkova, V., Boylan, J.M., & Ryff, C. (2013). Stress eating and health. findings from MIDUS, a national study of US adults. //Appetite, 69//, 151-155. https://doi.org/10.1016/j.appet.2013.05.020
Atkinson, M.J., & Wade, T.D. (2012). Impact of metacognitive acceptance on body dissatisfaction and negative affect: Engagement and efficacy. //Journal of Consulting and Clinical Psychology, 80//(3), 416-425. https://doi.org/10.1037/a0028263
Andrew, R., Tiggemann, M., & Clark, L. (2016). Positive body image and young women's health: Implications for sun protection, cancer screening, weight loss and alcohol consumption behaviours. //Journal of Health Psychology, 21//(1), 28-39. https://doi.org/10.1177/1359105314520814
Dalen, J., Brody, J.L., Staples, J.K., & Sedillo, D. (2015). A conceptual framework for the expansion of behavioral interventions for youth obesity: A family-based mindful eating approach. //Childhood Obesity, 11//(5), 577-584. https://doi.org/10.1089/chi.2014.0150
Pepping, C.A., O'Donovan, A., Zimmer-Gembeck, M.J., & Hanisch, M. (2015). Individual differences in attachment and eating pathology: The mediating role of mindfulness. //Personality and Individual Differences, 75//, 24-29. https://doi.org/10.1016/j.paid.2014.10.040
Daubenmier, J., Lin, J., Blackburn, E., Hecht, F.M., Kristeller, J., Maninger, N., ... & Epel, E. (2012). Changes in stress, eating, and metabolic factors are related to changes in telomerase activity in a randomized mindfulness intervention pilot study. //Psychoneuroendocrinology, 37//(7), 917-928. https://doi.org/10.1016/j.psyneuen.2011.10.008
Adams, C.E., Mcvay, M.A., Stewart, D.W., Vinci, C., Kinsaul, J., Benitez, L., ... & Copeland, A.L. (2014). Mindfulness ameliorates the relationship between weight concerns and smoking behavior in female smokers: A cross-sectional investigation. //Mindfulness, 5//(2), 179-185. https://doi.org/10.1007/s12671-012-0163-9
Cannon, S., Lawry, K., Brudell, M., Rees, R., Wenke, R., & Bisset, L. (2016). Appetite for change: A multidisciplinary team approach to behavioral modification for weight management in a community health group setting. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 21//(4), 661-668. https://doi.org/10.1007/s40519-016-0274-8
Lillis, J., Hayes, S.C., Bunting, K., & Masuda, A. (2009). Teaching acceptance and mindfulness to improve the lives of the obese: A preliminary test of a theoretical model. //Annals of Behavioral Medicine, 37//(1), 58-69. https://doi.org/10.1007/s12160-009-9083-x
Mantzios, M., & Egan, H.H. (2017). On the role of self-compassion and self-kindness in weight regulation and health behavior change. //Frontiers in Psychology, 8//, 229. https://doi.org/10.3389/fpsyg.2017.00229
[img[tps7.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Azam, M.A., Katz, J., Mohabir, V., & Ritvo, P. (2016). Individuals with tension and migraine headaches exhibit increased heart rate variability during post-stress mindfulness meditation practice but a decrease during a post-stress control condition - A randomized, controlled experiment. //International Journal of Psychophysiology, 110//, 66-74. https://doi.org/10.1016/j.ijpsycho.2016.10.011
Tamuz, M., & Harrison, M.I. (2006). Improving patient safety in hospitals: Contributions of high-reliability theory and normal accident theory. //Health Services Research, 41//(4), 1654-1676. https://doi.org/10.1111/j.1475-6773.2006.00570.x
Batt, R., & O'Hare, D. (2005). Pilot behaviors in the face of adverse weather: A new look at an old problem. //Aviation Space and Environmental Medicine, 76//(6), 552-559. https://www.ncbi.nlm.nih.gov/pubmed/15945399
Marstaller, L., Burianova, H., & Reutens, D.C. (2017). Adaptive contextualization: A new role for the default mode network in affective learning. //Human Brain Mapping, 38//(2), 1082-1091. https://doi.org/10.1002/hbm.23442
Grazzi, L., Sansone, E., Raggi, A., D'Amico, D., De Giorgio, A., Leonardi, M., ... & Andrasik, F. (2017). Mindfulness and pharmacological prophylaxis after withdrawal from medication overuse in patients with chronic migraine: An effectiveness trial with a one-year follow-up. //Journal of Headache and Pain, 18//. https://doi.org/10.1186/s10194-017-0728-z
Chera, B.S., Mazur, L., Buchanan, I., Kim, H.J., Rockwell, J., Milowsky, M.I., ... & Marks, L.B. (2015). Improving patient safety in clinical oncology applying lessons from normal accident theory. //JAMA Oncology, 1//(7), 958-964. https://doi.org/10.1001/jamaoncol.2015.0891
Dindo, L., Recober, A., Marchman, J., O' Hara, M.W., & Turvey, C. (2014). One-day behavioral intervention in depressed migraine patients: Effects on headache. //Headache, 54//(3), 528-538. https://doi.org/10.1111/head.12258
Wells, R.E., Burch, R., Paulsen, R.H., Wayne, P.M., Houle, T.T., & Loder, E. (2014). Meditation for migraines: A pilot randomized controlled trial. //Headache, 54//(9), 1484-1495. https://doi.org/10.1111/head.12420
Kemper, K.J., Heyer, G., Pakalnis, A., & Binkley, P.F. (2016). What factors contribute to headache-related disability in teens?. //Pediatric Neurology, 56//, 48-54. https://doi.org/10.1016/j.pediatrneurol.2015.10.024
Raisler, J. (1999). Alternative healing in nurse-midwifery practice. //Journal of Nurse-Midwifery, 44//(3), 310-319. https://doi.org/10.1016/S0091-2182(99)00041-5
Schmidt, S. (2004). Mindfulness and healing intention: Concepts, practice, and research evaluation. //Journal of Alternative and Complementary Medicine, 10//, S7-S14.
Lofquist, E.A., Greve, A., & Olsson, U.H. (2011). Modeling attitudes and perceptions as predictors for changing safety margins during organizational change. //Safety Science, 49//(3), 531-541. https://doi.org/10.1016/j.ssci.2010.11.007
Lofquist, E.A. (2010). The art of measuring nothing: The paradox of measuring safety in a changing civil aviation industry using traditional safety metrics. //Safety Science, 48//(10), 1520-1529. https://doi.org/10.1016/j.ssci.2010.05.006
Fingelkurts, A.A., Fingelkurts, A.A., & Kallio-Tamminen, T. (2016). Long-term meditation training induced changes in the operational synchrony of default mode network modules during a resting state. //Cognitive Processing, 17//(1), 27-37. https://doi.org/10.1007/s10339-015-0743-4
Scott, J.G., Cohen, D., DiCicco-Bloom, B., Miller, W.L., Stange, K.C., & Crabtree, B.F. (2008). Understanding healing relationships in primary care. //Annals of Family Medicine, 6//(4), 315-322. https://doi.org/10.1370/afm.860
Fingelkurts, A.A., Fingelkurts, A.A., & Kallio-Tamminen, T. (2016). Trait lasting alteration of the brain default mode network in experienced meditators and the experiential selfhood. //Self and Identity, 15//(4), 381-393. https://doi.org/10.1080/15298868.2015.1136351
Zhang, J.Y., & Wu, C.X. (2014). The influence of dispositional mindfulness on safety behaviors: A dual process perspective. //Accident Analysis and Prevention, 70//, 24-32. https://doi.org/10.1016/j.aap.2014.03.006
Wachholtz, A.B., Malone, C.D., & Pargament, K.I. (2017). Effect of different meditation types on migraine headache medication use. //Behavioral Medicine, 43//(1), 1-8. https://doi.org/10.1080/08964289.2015.1024601
Grazzi, L., Prunesti, A., & Bussone, G. (2015). Proposal of a model for multidisciplinary treatment program of chronic migraine with medication overuse: Preliminary study. //Neurological Sciences, 36//, S169-S171. https://doi.org/10.1007/s10072-015-2177-2
Simon, R., & Engstrom, M. (2015). The default mode network as a biomarker for monitoring the therapeutic effects of meditation. //Frontiers in Psychology, 6//,776. https://doi.org/10.3389/fpsyg.2015.00776
Taylor, V.A., Daneault, V., Grant, J., Scavone, G., Breton, E., Roffe-Vidal, S., ... & Beauregard, M. (2013). Impact of meditation training on the default mode network during a restful state. //Social Cognitive and Affective Neuroscience, 8//(1), 4-14. https://doi.org/10.1093/scan/nsr087
Svob, C., Wang, Z.S., Weissman, M.M., Wickramaratne, P., & Posner, J. (2016). Religious and spiritual importance moderate relation between default mode network connectivity and familial risk for depression. //Neuroscience Letters, 634//, 94-97. https://doi.org/10.1016/j.neulet.2016.10.009
Desnoyers, A.J., Kocovski, N.L., Fleming, J.E., & Antony, M.M. (2017). Self-focused attention and safety behaviors across group therapies for social anxiety disorder. //Anxiety Stress and Coping, 30//(4), 441-455. https://doi.org/10.1080/10615806.2016.1239083
Miller, W.L., Crabtree, B.F., Duffy, M.B., Epstein, R.M., & Stange, K.C. (2003). Research guidelines for assessing the impact of healing relationships in clinical medicine. //Alternative Therapies in Health and Medicine, 9//(3), A80-A95. https://www.ncbi.nlm.nih.gov/pubmed/12776467
Fruhen, L.S., Flin, R.H., & McLeod, R. (2014). Chronic unease for safety in managers: A conceptualisation. //Journal of Risk Research, 17//(8), 969-979. https://doi.org/10.1080/13669877.2013.822924
Betts, K.R., & Hinsz, V.B. (2015). Mindful attention and awareness predict self-reported food safety practices in the food service industry. //Current Psychology, 34//(2), 191-206. https://doi.org/10.1007/s12144-014-9251-4
Day, M.A., Thorn, B.E., Ward, L.C., Rubin, N., Hickman, S.D., Scogin, F., ... & Kilgo, G.R. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain a pilot study. //Clinical Journal of Pain, 30//(2), 152-161. https://doi.org/10.1097/AJP.0b013e318287a1dc
Berkovich-Ohana, A., Glicksohn, J., Ben-Soussan, T.D., & Goldstein, A. (2017). Creativity is enhanced by long-term mindfulness training and is negatively correlated with trait default-mode-related low-gamma inter-hemispheric connectivity. //Mindfulness, 8//(3), 717-727. https://doi.org/10.1007/s12671-016-0649-y
Grossman, P., Kappos, L., Gensicke, H., D'Souza, M., Mohr, D.C., Penner, I.K., ... & Steiner, C. (2010). MS quality of life, depression, and fatigue improve after mindfulness training a randomized trial. //Neurology, 75//(13), 1141-1149. https://doi.org/10.1212/WNL.0b013e3181f4d80d
Zhang, J.Y., Ding, W.D., Li, Y.J., & Wu, C.X. (2013). Task complexity matters: The influence of trait mindfulness on task and safety performance of nuclear power plant operators. //Personality and Individual Differences, 55//(4), 433-439. https://doi.org/10.1016/j.paid.2013.04.004
Dierynck, B., Leroy, H., Savage, G.T., & Choi, E. (2017). The role of individual and collective mindfulness in promoting occupational safety in health care. //Medical Care Research and Review, 74//(1), 79-96. https://doi.org/10.1177/1077558716629040
Hesse, T., Holmes, L.G., Kennedy-Overfelt, V., Kerr, L.M., & Giles, L.L. (2015). Mindfulness-based intervention for adolescents with recurrent headaches: A pilot feasibility study. //Evidence-based Complementary and Alternative Medicine//, 508958. https://doi.org/10.1155/2015/508958
Berila, B. (2016). Mindfulness as a healing, liberatory practice in queer anti-oppression pedagogy. //Social Alternatives, 35//(3), 5-10. https://search.informit.com.au/documentSummary;dn=617606909549894;res=IELLCC
Keller, A., Meyer, B., Wohlbier, H.G., Overath, C., & Kropp, P. (2016). Migraine and meditation: Characteristics of cortical activity and stress coping in migraine patients, meditators and healthy controls - An exploratory cross-sectional study. //Applied Psychophysiology and Biofeedback, 41//(3), 307-313. https://doi.org/10.1007/s10484-016-9334-0
Loizzo, J., Charlson, M., & Peterson, J. (2009). A program in contemplative self-healing. //Annals of the New York Academy of Sciences, 1172//, 123-147. https://doi.org/10.1111/j.1749-6632.2009.04398.x
Seo, J.H., Sungkajun, A., Sanchez, T., & Suh, J. (2015). Touchology: Peripheral interactive plant design for well-being. //Interaction Design and Architectures, 27//, 175-187. http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/27_10.pdf
Omidi, A., & Zargar, F. (2015). Effects of mindfulness-based stress reduction on perceived stress and psychological health in patients with tension headache. //Journal of Research in Medical Sciences, 20//(11). https://www.ncbi.nlm.nih.gov/pubmed/26941809
Barker, K.K. (2014). Mindfulness meditation: Do-it-yourself medicalization of every moment. //Social Science & Medicine, 106//, 168-176. https://doi.org/10.1016/j.socscimed.2014.01.024
Valley, M.A., & Stallones, L. (2017). Effect of mindfulness-based stress reduction training on health care worker safety a randomized waitlist controlled trial. //Journal of Occupational and Environmental Medicine, 59//(10), 935-941. https://doi.org/10.1097/JOM.0000000000001090
Grazzi, L., D'Amico, D., Raggi, A., Leonardi, M., Ciusani, E., Corsini, E., ... & Sansone, E. (2017). Mindfulness and pharmacological prophylaxis have comparable effect on biomarkers of inflammation and clinical indexes in chronic migraine with medication overuse: Results at 12 months after withdrawal. //Neurological Sciences, 38//, S173-S175. https://doi.org/10.1007/s10072-017-2874-0
Scheibner, H.J., Bogler, C., Gleich, T., Haynes, J.D., & Bermpohl, F. (2017). Internal and external attention and the default mode network. //Neuroimage, 148//, 381-389. https://doi.org/10.1016/j.neuroimage.2017.01.044
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2013). Effects of participation in a mindfulness program for veterans with posttraumatic stress disorder: A randomized controlled pilot study. //Journal of Clinical Psychology, 69//(1), 14-27. https://doi.org/10.1002/jclp.21911
Day, M.A., & Thorn, B.E. (2016). The mediating role of pain acceptance during mindfulness-based cognitive therapy for headache. //Complementary Therapies in Medicine, 25//, 51-54. https://doi.org/10.1016/j.ctim.2016.01.002
Kee, Y.H., Chaturvedi, I., Wang, C.K.J., & Chen, L.H. (2013). The power of now: Brief mindfulness induction led to increased randomness of clicking sequence. //Motor Control, 17//(3), 238-255. https://doi.org/10.1123/mcj.17.3.238
Marzetti, L., Di Lanzo, C., Zappasodi, F., Chella, F., Raffone, A., & Pizzella, V. (2014). Magnetoencephalographic alpha band connectivity reveals differential default mode network interactions during focused attention and open monitoring meditation. //Frontiers in Human Neuroscience, 8//,832. https://doi.org/10.3389/tnhum.2014.00832
Tops, M., Boksem, M.A.S., Quirin, M., IJzerman, H., & Koole, S.L. (2014). Internally directed cognition and mindfulness: An integrative perspective derived from predictive and reactive control systems theory. //Frontiers in Psychology, 5//,429. https://doi.org/10.3389/fpsyg.2014.00429
Day, M.A., Thorn, B.E., & Rubin, N.J. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain: A mixed-methods analysis comparing treatment responders and treatment non-responders. //Complementary Therapies in Medicine, 22//(2), 278-285. https://doi.org/10.1016/j.ctim.2013.12.018
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2012). Mindfulness-induced changes in gamma band activity - implications for the default mode network, self-reference and attention. //Clinical Neurophysiology, 123//(4), 700-710. https://doi.org/10.1016/j.clinph.2011.07.048
Fernros, L., Furhoff, A.K., & Waendell, P.E. (2008). Improving quality of life using compound mind-body therapies: Evaluation of a course intervention with body movement and breath therapy, guided imagery, chakra experiencing and mindfulness meditation. //Quality of Life Research, 17//(3), 367-376. https://doi.org/10.1007/s11136-008-9321-x
Le Coze, J.C. (2013). New models for new times. An anti-dualist move. //Safety Science, 59//, 200-218. https://doi.org/10.1016/j.ssci.2013.05.010
Leung, M.Y., Liang, Q., & Yu, J.Y. (2016). Development of a mindfulness-stress-performance model for construction workers. //Construction Management and Economics, 34//(2), 110-128. https://doi.org/10.1080/01446193.2016.1147652
Froeliger, B., Garland, E.L., Kozink, R.V., Modlin, L.A., Chen, N.K., McClernon, F.J., ... & Sobin, P. (2012). Meditation-state functional connectivity (MSFC): Strengthening of the dorsal attention network and beyond. //Evidence-based Complementary and Alternative Medicine//, 680407. https://doi.org/10.1155/2012/680407
Evans, S., Moieni, M., Lung, K., Tsao, J., Sternlieb, B., Taylor, M., ... & Zeltzer, L. (2013). Impact of Iyengar yoga on quality of life in young women with rheumatoid arthritis. //Clinical Journal of Pain, 29//(11), 988-997.
Gross, C.R., Reilly-Spong, M., Park, T., Zhao, R.Z., Gurvich, O.V., & Ibrahim, H.N. (2017). Telephone-adapted mindfulness-based stress reduction (TMBSR) for patients awaiting kidney transplantation. //Contemporary Clinical Trials, 57//, 37-43. https://doi.org/10.1016/j.cct.2017.03.014
Lee, Y.C., Huang, S.C., Huang, C.H., & Wu, H.H. (2016). A new approach to identify high burnout medical staffs by kernel k-means cluster analysis in a regional teaching hospital in Taiwan. //INQUIRY: The Journal of Health Care Organization Provision and Financing, 53//. https://doi.org/10.1177/0046958016679306
Grossman, P., Zwahlen, D., Halter, J.P., Passweg, J.R., Steiner, C., & Kiss, A. (2015). A mindfulness-based program for improving quality of life among hematopoietic stem cell transplantation survivors: Feasibility and preliminary findings. //Supportive Care in Cancer, 23//(4), 1105-1112. https://doi.org/10.1007/s00520-014-2452-4
Wang, X., Xu, M., Song, Y., Li, X., Zhen, Z., Yang, Z., ... & Liu, J. (2014). The network property of the thalamus in the default mode network is correlated with trait mindfulness. //Neuroscience, 278//, 291-301. https://doi.org/10.1016/j.neuroscience.2014.08.006
[img[tps70.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Demarzo, M., Montero-Marin, J., Puebla-Guedea, M., Navarro-Gil, M., Herrera-Mercadal, P., Moreno-Gonzalez, S., ... & Garcia-Campayo, J. (2017). Efficacy of 8-and 4-session mindfulness-based interventions in a non-clinical population: A controlled study. //Frontiers in Psychology, 8//, 1343. https://doi.org/10.3389/fpsyg.2017.01343
Strauss, C., Cavanagh, K., Oliver, A., & Pettman, D. (2014). Mindfulness-based interventions for people diagnosed with a current episode of an anxiety or depressive disorder: A meta-analysis of randomised controlled trials. //PLOS ONE, 9//(4). https://doi.org/10.1371/journal.pone.0096110
Toivonen, K.I., Zernicke, K., & Carlson, L.E. (2017). Web-based mindfulness interventions for people with physical health conditions: Systematic review. //Journal of Medical Internet Research, 19//(8). https://doi.org/10.2196/jmir.7487
Visted, E., Vollestad, J., Nielsen, M.B., & Nielsen, G.H. (2015). The impact of group-based mindfulness training on self-reported mindfulness: A systematic review and meta-analysis. //Mindfulness, 6//(3), 501-522. https://doi.org/10.1007/s12671-014-0283-5
Williams, H., Silva, S., Simmons, L.A., & Tanabe, P. (2017). A telephonic mindfulness-based intervention for persons with sickle cell disease: Study protocol for a randomized controlled trial. //Trials, 18//. https://doi.org/10.1186/s13063-017-1948-x
Klingbeil, D.A., Fischer, A.J., Renshaw, T.L., Bloomfield, B.S., Polakoff, B., Willenbrink, J.B., ... & Chan, K.T. (2017). Effects of mindfulness-based interventions on disruptive behavior: A meta-analysis of single-case research. //Psychology in the Schools, 54//(1), 70-87. https://doi.org/10.1002/pits.21982
Sanada, K., Diez, M.A., Valero, M.S., Perez-Yus, M.C., Demarzo, M.M.P., Montero-Marin, J., ... & Garcia-Campayo, J. (2017). Effects of mindfulness-based interventions on biomarkers in healthy and cancer populations: A systematic review. //BMC Complementary and Alternative Medicine, 17//. https://doi.org/10.1186/s12906-017-1638-y
Lopez-Navarro, E., Del Canto, C., Belber, M., Mayol, A., Fernandez-Alonso, O., Lluis, J., ... & Chadwick, P. (2015). Mindfulness improves psychological quality of life in community-based patients with severe mental health problems: A pilot randomized clinical trial. //Schizophrenia Research, 168//(42737), 530-536 . https://doi.org/10.1016/j.schres.2015.08.016
Edwards, R.T., Bryning, L., & Crane, R. (2015). Design of economic evaluations of mindfulness-based interventions: Ten methodological questions of which to be mindful. //Mindfulness, 6//(3), 490-500. https://doi.org/10.1007/s12671-014-0282-6
Evans, A., Crane, R., Cooper, L., Mardula, J., Wilks, J., Surawy, C., ... & Kuyken, W. (2015). A framework for supervision for mindfulness-based teachers: A space for embodied mutual inquiry. //Mindfulness, 6//(3), 572-581. https://doi.org/10.1007/s12671-014-0292-4
Cacciatore, J., Thieleman, K., Osborn, J., & Orlowski, K. (2014). Of the soul and suffering: Mindfulness-based interventions and bereavement. //Clinical Social Work Journal, 42//(3), 269-281. https://doi.org/10.1007/s10615-013-0465-y
Klatt, M., Norre, C., Reader, B., Yodice, L., & White, S. (2017). Mindfulness in motion: A mindfulness-based intervention to reduce stress and enhance quality of sleep in scandinavian employees. //Mindfulness, 8//(2), 481-488. https://doi.org/10.1007/s12671-016-0621-x
Virgili, M. (2015). Mindfulness-based interventions reduce psychological distress in working adults: A meta-analysis of intervention studies. //Mindfulness, 6//(2), 326-337. https://doi.org/10.1007/s12671-013-0264-0
O'Connor, M., Piet, J., & Hougaard, E. (2014). The effects of mindfulness-based cognitive therapy on depressive symptoms in elderly bereaved people with loss-related distress: A controlled pilot study. //Mindfulness, 5//(4), 400-409. https://doi.org/10.1007/s12671-013-0194-x
Grossman, P., Zwahlen, D., Halter, J.P., Passweg, J.R., Steiner, C., & Kiss, A. (2015). A mindfulness-based program for improving quality of life among hematopoietic stem cell transplantation survivors: Feasibility and preliminary findings. //Supportive Care in Cancer, 23//(4), 1105-1112. https://doi.org/10.1007/s00520-014-2452-4
Pickut, B., Vanneste, S., Hirsch, M.A., Van Hecke, W., Kerckhofs, E., Marien, P., ... & Cras, P. (2015). Mindfulness training among individuals with parkinson's disease: Neurobehavioral effects. //Parkinsons Disease, NA//. https://doi.org/10.1155/2015/816404
Rodriguez-Carvajal, R., Garcia-Rubio, C., Paniagua, D., Garcia-Diex, G., & de Rivas, S. (2016). Mindfulness integrative model (MIM): Cultivating positive states of mind towards oneself and the others through mindfulness and self-compassion. //Anales de Psicologia, 32//(3), 749-760. https://doi.org/10.6018/analesps.32.3.261681
Larouche, E., Hudon, C., & Goulet, S. (2015). Potential benefits of mindfulness-based interventions in mild cognitive impairment and alzheimer's disease: An interdisciplinary perspective. //Behavioural Brain Research, 276//, 199-212. https://doi.org/10.1016/j.bbr.2014.05.058
Lacaille, J., Sadikaj, G., Nishioka, M., Flanders, J., & Knauper, B. (2015). Measuring mindful responding in daily life: Validation of the daily mindful responding scale (dmrs). //Mindfulness, 6//(6),1422-1436. https://doi.org/10.1007/s12671-015-0416-5
Grabovac, A. (2015). The stages of insight: Clinical relevance for mindfulness-based interventions. //Mindfulness, 6//(3), 589-600. https://doi.org/10.1007/s12671-014-0294-2
Taylor, C., Harrison, J., Haimovitz, K., Oberle, E., Thomson, K., Schonert-Reichl, K., ... & Roeser, R.W. (2016). Examining ways that a mindfulness-based intervention reduces stress in public school teachers: A mixed-methods study. //Mindfulness, 7//(1), 115-129. https://doi.org/10.1007/s12671-015-0425-4
van der Gucht, K., Takano, K., Van Broeck, N., & Raes, F. (2015). A mindfulness-based intervention for economically disadvantaged people: Effects on symptoms of stress, anxiety, and depression and on cognitive reactivity and overgeneralization. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0353-8
Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., ... & Hofmann, S.G. (2013). Mindfulness-based therapy: A comprehensive meta-analysis. //Clinical Psychology Review, 33//(6), 763-771. https://doi.org/10.1016/j.cpr.2013.05.005
Klatt, M., Steinberg, B., & Duchemin, A.M. (2015). Mindfulness in motion (MIM): An onsite mindfulness based intervention (MBI) for chronically high stress work environments to increase resiliency and work engagement. //JoVE: Journal of Visualized Experiments, NA//(101). https://doi.org/10.3791/52359
de Zoysa, P. (2016). When east meets west: Reflections on the use of Buddhist mindfulness practice in mindfulness-based interventions. //Mental Health Religion & Culture, 19//(4), 362-370. https://doi.org/10.1080/13674676.2016.1200542
Smart, C.M., Segalowitz, S.J., Mulligan, B.P., Koudys, J., & Gawryluk, J.R. (2016). Mindfulness training for older adults with subjective cognitive decline: Results from a pilot randomized controlled trial. //Journal of Alzheimers Disease, 52//(2), 757-774. https://doi.org/10.3233/JAD-150992
Kotecki, J., Khubchandani, J., Simmons, R., & Sharma, M. (2015). Mind-body interventions: Applications and potential opportunities for health education practice. //Health Promotion Practice, 16//(2), 157-161. https://doi.org/10.1177/1524839914563747
Demarzo, M.M.P., Cebolla, A., & Garcia-Campayo, J. (2015). The implementation of mindfulness in healthcare systems: A theoretical analysis. //General Hospital Psychiatry, 37//(2), 166-171. https://doi.org/10.1016/j.genhosppsych.2014.11.013
Knight, M., Pultinas, D., Collins, S., Sellig, C., Freeman, D.C., Strimaitis, C., ... & Silver, R.R. (2014). Teaching mindfulness on an inpatient psychiatric unit. //Mindfulness, 5//(3), 259-267. https://doi.org/10.1007/s12671-012-0175-5
Dimidjian, S., & Segal, Z.V. (2015). Prospects for a clinical science of mindfulness-based intervention. //American Psychologist, 70//(7), 593-620. https://doi.org/10.1037/a0039589
Day, M.A., Jensen, M.P., Ehde, D.M., & Thorn, B.E. (2014). Toward a theoretical model for mindfulness-based pain management. //Journal of Pain, 15//(7), 691-703. https://doi.org/10.1016/j.jpain.2014.03.003
Van Gordon, W., Shonin, E., Zangeneh, M., & Griffiths, M. (2014). Work-related mental health and job performance: Can mindfulness help?. //International Journal of Mental Health and Addiction, 12//(2), 129-137. https://doi.org/10.1007/s11469-014-9484-3
Whitesman, S., & Mash, R. (2015). Examining the effects of a mindfulness-based professional training module on mindfulness, perceived stress, self-compassion and self-determination. //African Journal of Health Professions Education, 7//(2), 220-223. https://doi.org/10.7196/AJHPE.460
van Ginneken, W.F., Poolton, J.M., Masters, R.S.W., Capio, C.M., Kal, E.C., & van der Kamp, J. (2017). Comparing the effects of conscious monitoring and conscious control on motor performance. //Psychology of Sport and Exercise, 30//, 145-152. https://doi.org/10.1016/j.psychsport.2017.03.001
Ricarte, J.J., Ros, L., Latorre, J.M., & Beltran, M.T. (2015). Mindfulness-based intervention in a rural primary school: Effects on attention, concentration and mood. //International Journal of Cognitive Therapy, 8//(3), 258-270. https://doi.org/10.1521/ijct_2015_8_03
L'Estrange, K., Timulak, L., Kinsella, L., & D'Alton, P. (2016). Experiences of changes in self-compassion following mindfulness-based intervention with a cancer population. //Mindfulness, 7//(3), 734-744. https://doi.org/10.1007/s12671-016-0513-0
Demarzo, M.M.P., Montero-Marin, J., Stein, P.K., Cebolla, A., Provinciale, J.G., & Garcia-Campayo, J. (2014). Mindfulness may both moderate and mediate the effect of physical fitness on cardiovascular responses to stress: A speculative hypothesis. //Frontiers in Physiology, 5//, 105. https://doi.org/10.3389/fphys.2014.00105
Klingbeil, D.A., Renshaw, T.L., Willenbrink, J.B., Copek, R.A., Chan, K.T., Haddock, A., ... & Clifton, J. (2017). Mindfulness-based interventions with youth: A comprehensive meta-analysis of group-design studies. //Journal of School Psychology, 63//, 77-103. https://doi.org/10.1016/j.jsp.2017.03.006
Huang, S.L., Li, R.H., Huang, F.Y., & Tang, F.C. (2015). The potential for mindfulness-based intervention in workplace mental health promotion: Results of a randomized controlled trial. //PLOS ONE, 10//(9). https://doi.org/10.1371/journal.pone.0138089
Tong, A.C.Y., Lin, J.J.X., Cheung, V.Y.K., Lau, N.K.M., Chang, W.C., Chan, S.K., ... & Chen, E.Y.H. (2016). A low-intensity mindfulness-based intervention for mood symptoms in people with early psychosis: Development and pilot evaluation. //Clinical Psychology & Psychotherapy, 23//(6), 550-560. https://doi.org/10.1002/cpp.1981
Sanada, K., Montero-Marin, J., Diez, M.A., Salas-Valero, M., Perez-Yus, M.C., Morillo, H., ... & Garcia-Campayo, J. (2016). Effects of mindfulness-based interventions on salivary cortisol in healthy adults: A meta-analytical review. //Frontiers in Physiology, 7//, 171. https://doi.org/10.3359/fphys.2016.00/171
Van Dam, N.T., Sheppard, S.C., Forsyth, J.P., & Earleywine, M. (2011). Self-compassion is a better predictor than mindfulness of symptom severity and quality of life in mixed anxiety and depression. //Journal of Anxiety Disorders, 25//(1), 123-130. https://doi.org/10.1016/j.janxdis.2010.08.011
Grossman, P., Kappos, L., Gensicke, H., D'Souza, M., Mohr, D.C., Penner, I.K., ... & Steiner, C. (2010). Ms quality of life, depression, and fatigue improve after mindfulness training a randomized trial. //Neurology, 75//(13), 1141-1149. https://doi.org/10.1212/WNL.0b013e3181f4d80d
Cacciatore, J., & Flint, M. (2012). Attend: Toward a mindfulness-based bereavement care model. //Death Studies, 36//(1), 61-82. https://doi.org/10.1080/07481187.2011.591275
Malboeuf-Hurtubise, C., Achille, M., Muise, L., Beauregard-Lacroix, R., Vadnais, M., & Lacourse, E. (2016). A mindfulness-based meditation pilot study: Lessons learned on acceptability and feasibility in adolescents with cancer. //Journal of Child and Family Studies, 25//(4), 1168-1177. https://doi.org/10.1007/s10826-015-0299-z
Dreger, L.C., Mackenzie, C., & McLeod, B. (2015). Acceptability and suitability of mindfulness training for diabetes management in an indigenous community. //Mindfulness, 6//(4),885–898.
. https://doi.org/10.1007/s12671-014-0332-0
Kanen, J.W., Nazir, R., Sedky, K., & Pradhan, B.K. (2015). The effects of mindfulness-based interventions on sleep disturbance: A meta-analysis. //Adolescent Psychiatry, 5//(2), 105-115. https://doi.org/10.2174/2210676605666150311222928
Monteiro, L.M., Musten, R.F., & Compson, J. (2015). Traditional and contemporary mindfulness: Finding the middle path in the tangle of concerns. //Mindfulness, 6//(1), 1-13. https://doi.org/10.1007/s12671-014-0301-7
Thieleman, K., & Cacciatore, J. (2014). Witness to suffering: Mindfulness and compassion fatigue among traumatic bereavement volunteers and professionals. //Social Work, 59//(1), 34-41. https://doi.org/10.1093/sw/swt044
Schmidt, A.T. (2016). The ethics and politics of mindfulness-based interventions. //Journal of Medical Ethics, 42//(7), 450-454. https://doi.org/10.1136/medethics-2015-102942
Rayan, A., & Ahmad, M. (2016). Effectiveness of mindfulness-based interventions on quality of life and positive reappraisal coping among parents of children with autism spectrum disorder. //Research in Developmental Disabilities, 55//, 185-196. https://doi.org/10.1016/j.ridd.2016.04.002
Hofmann, S.G., Sawyer, A.T., Witt, A.A., & Oh, D. (2010). The effect of mindfulness-based therapy on anxiety and depression: A meta-analytic review. //Journal of Consulting and Clinical Psychology, 78//(2), 169-183. https://doi.org/10.1037/a0018555
Felver, J.C., Celis-de Hoyos, C.E., Tezanos, K., & Singh, N.N. (2016). A systematic review of mindfulness-based interventions for youth in school settings. //Mindfulness, 7//(1), 34-45. https://doi.org/10.1007/s12671-015-0389-4
Chacko, S.A., Yeh, G.Y., Davis, R.B., & Wee, C.C. (2016). A mindfulness-based intervention to control weight after bariatric surgery: Preliminary results from a randomized controlled pilot trial. //Complementary Therapies in Medicine, 28//, 13-21. https://doi.org/10.1016/j.ctim.2016.07.001
Bluth, K., Gaylord, S., Nguyen, K., Bunevicius, A., & Girdler, S. (2015). Mindfulness-based stress reduction as a promising intervention for amelioration of premenstrual dysphoric disorder symptoms. //Mindfulness, 6//(6), 1292–1302. https://doi.org/10.1007/s12671-015-0397-4
Jones, P., Blunda, M., Biegel, G., Carlson, L.E., Biel, M., & Wiener, L. (2013). Can mindfulness-based interventions help adolescents with cancer?. //Psycho-Oncology, 22//(9), 2148-2151. https://doi.org/10.1002/pon.3251
Garland, E.L., Kiken, L.G., Faurot, K., Palsson, O., & Gaylord, S.A. (2017). Upward spirals of mindfulness and reappraisal: Testing the mindfulness-to-meaning theory with autoregressive latent trajectory modeling. //Cognitive Therapy and Research, 41//(3), 381-392. https://doi.org/10.1007/s10608-016-9768-y
Josefsson, T., Lindwall, M., & Broberg, A.G. (2014). The effects of a short-term mindfulness based intervention on self-reported mindfulness, decentering, executive attention, psychological health, and coping style: Examining unique mindfulness effects and mediators. //Mindfulness, 5//(1), 18-35. https://doi.org/10.1007/s12671-012-0142-1
Duarte, J., & Pinto-Gouveia, J. (2017). Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. //Journal of Contextual Behavioral Science, 6//(2), 125-133. https://doi.org/10.1016/j.jcbs.2017.03.002
Cwik, A.J. (2017). What is a Jungian analyst dreaming when myth comes to mind? Thirdness as an aspect of the anima media natura. //Journal of Analytical Psychology, 62//(1), 107-129. https://doi.org/10.1111/1468-5922.12284
Ozen, L.J., Dubois, S., Gibbons, C., Short, M.M., Maxwell, H., & Bedard, M. (2016). Mindfulness interventions improve depression symptoms after traumatic brain injury: Are individual changes clinically significant?. //Mindfulness, 7//(6), 1356-1364. https://doi.org/10.1007/s12671-016-0577-x
Amanullah, S., McNally, K., Zelin, J., Cole, J., & Cernovsky, Z. (2017). Are burnout prevention programs for hospital physicians needed?. //Asian Journal of Psychiatry, 26//, 66-69. https://doi.org/10.1016/j.ajp.2017.01.009
de Vibe, M., Solhaug, I., Tyssen, R., Friborg, O., Rosenvinge, J.H., Sorlie, T., ... & Bjorndal, A. (2013). Mindfulness training for stress management: A randomised controlled study of medical and psychology students. //BMC Medical Education, 13//. https://doi.org/10.1186/1472-6920-13-107
Carlson, L.E. (2016). Mindfulness-based interventions for coping with cancer. //Special issue: Advances in meditation research, 1373//, 5-12. https://doi.org/10.1111/nyas.13029
Bauer-Wu, S., Sullivan, A.M., Rosenbaum, E., Ott, M.J., Powell, M., McLoughlin, M., ... & Healey, M.W. (2008). Facing the challenges of hematopoietic stem cell transplantation with mindfulness meditation: A pilot study. //Integrative Cancer Therapies, 7//(2), 62-69. https://doi.org/10.1177/1534735408319068
Whitesman, S., & Mash, R. (2016). Examining the effects of a mindfulness-based distance learning professional training module on personal and professional functioning: A qualitative study. //BMC Medical Education, 16//. https://doi.org/10.1186/s12909-016-0810-2
Walsh, E., Eisenlohr-Moul, T., & Baer, R. (2016). Brief mindfulness training reduces salivary IL-6 and TNF-α in young women with depressive symptomatology. //Journal of Consulting and Clinical Psychology, 84//(10), 887-897. https://doi.org/10.1037/ccp0000122
Daly, P., Pace, T., Berg, J., Menon, U., & Szalacha, L.A. (2016). A mindful eating intervention: A theory-guided randomized anti-obesity feasibility study with adolescent Latino females. //Complementary Therapies in Medicine, 28//, 22-28. https://doi.org/10.1016/j.ctim.2016.07.006
Gu, J., Strauss, C., Crane, C., Barnhofer, T., Karl, A., Cavanagh, K., ... & Kuyken, W. (2016). Examining the factor structure of the 39-item and 15-item versions of the five facet mindfulness questionnaire before and after mindfulness-based cognitive therapy for people with recurrent depression. //Psychological Assessment, 28//(7), 791-802. https://doi.org/10.1037/pas0000263
Thieleman, K., Cacciatore, J., & Hill, P.W. (2014). Traumatic bereavement and mindfulness: A preliminary study of mental health outcomes using the attend model. //Clinical Social Work Journal, 42//(3), 260-268. https://doi.org/10.1007/s10615-014-0491-4
Lee, D.H., Park, H.Y., Lee, U.S., Lee, K.J., Noh, E.C., Jang, J.H., ... & Kang, D.H. (2015). The effects of brain wave vibration on oxidative stress response and psychological symptoms. //Comprehensive Psychiatry, 60//, 99-104. https://doi.org/10.1016/j.comppsych.2015.03.003
Salmoirago-Blotcher, E., Carmody, J., Yeh, G., Crawford, S., Rosenthal, L., & Ockene, I. (2012). Design and methods for a pilot study of a phone-delivered, mindfulness-based intervention in patients with implantable cardioverter defibrillators. //Evidence-based Complementary and Alternative Medicine, NA//. https://doi.org/10.1155/2012/972106
Chadi, N., McMahon, A., Vadnais, M., Malboeuf-Hurtubise, C., Djemli, A., Dobkin, P.L., ... & Haley, N. (2016). Mindfulness-based intervention for female adolescents with chronic pain: A pilot randomized trial. //Journal of the Canadian Academy of Child and Adolescent Psychiatry, 25//(3), 159-168. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130089/
Braden, B.B., Pipe, T.B., Smith, R., Glaspy, T.K., Deatherage, B.R., & Baxter, L.C. (2016). Brain and Behavior changes associated with an abbreviated 4-week mindfulness-based stress reduction course in back pain patients. //Brain and behavior, 6//(3). https://doi.org/10.1002/brb3.443
Van der Gucht, K., Takano, K., Labarque, V., Vandenabeele, K., Nolf, N., Kuylen, S., ... & Raes, F. (2017). A mindfulness-based intervention for adolescents and young adults after cancer treatment: Effects on quality of life, emotional distress, and cognitive vulnerability. //Journal of Adolescent and Young Adult Oncology, 6//(2), 307-317. https://doi.org/10.1089/jayao.2016.0070
[img[tps71.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Antonova, E., Chadwick, P., & Kumari, V. (2015). More meditation, less habituation? The effect of mindfulness practice on the acoustic startle reflex. //PLOS ONE, 10//(5). e0133099. https://doi.org/10.1371/journal.pone.0123512
Heeren, A., Lievens, L., & Philippot, P. (2011). How does attention training work in social phobia: Disengagement from threat or re-engagement to non-threat?. //Journal of Anxiety Disorders, 25//(8), 1108-1115. https://doi.org/10.1016/j.janxdis.2011.08.001
Archer, K.R., Coronado, R.A., Haislip, L.R., Abraham, C.M., Vanston, S.W., Lazaro, A.E., ... & Obremskey, W.T. (2015). Telephone-based goal management training for adults with mild traumatic brain injury: Study protocol for a randomized controlled trial. //Trials, 16//, 244. https://doi.org/10.1186/s13063-015-0775-1
Johansson, B., Bjuhr, H., & Ronnback, L. (2015). Evaluation of an advanced mindfulness program following a mindfulness-based stress reduction program for participants suffering from mental fatigue after acquired brain injury. //Mindfulness, 6//(2), 227-233. https://doi.org/10.1007/s12671-013-0249-z
Huffziger, S., & Kuehner, C. (2009). Rumination, distraction, and mindful self-focus in depressed patients. //Behaviour Research and Therapy, 47//(3), 224-230. https://doi.org/10.1016/j.brat.2008.12.005
Magnusson, G., Ballegaard, S., Karpatschof, B., & Nyboe, J. (2010). Long-term effects of integrated rehabilitation in patients with stroke: A nonrandomized comparative feasibility study. //Journal of Alternative and Complementary Medicine, 16//(4), 369-374. https://doi.org/10.1089/acm.2009.0097
Levine, B., Schweizer, T.A., O'Connor, C., Turner, G., Gillingham, S., Stuss, D.T., ... & Robertson, I.H. (2011). Rehabilitation of executive functioning in patients with frontal lobe brain damage with goal management training. //Frontiers in Human Neuroscience, 5//, 9. https://doi.org/10.3389/fnhum.2011.00009
Gartner, M., Irrmischer, M., Winnebeck, E., Fissler, M., Huntenburg, J.M., Schroeter, T.A., ... & Barnhofer, T. (2017). Aberrant long-range temporal correlations in depression are attenuated after psychological treatment. //Frontiers in Human Neuroscience, 11//, 340. https://doi.org/10.3389/fnhum.2017.00340
Johansson, B., Bjuhr, H., & Ronnback, L. (2012). Mindfulness-based stress reduction (MBSR) improves long-term mental fatigue after stroke or traumatic brain injury. //Brain Injury, 26//(13-14), 1621-1628. https://doi.org/10.3109/02699052.2012.700082
Richer, A.C. (2017). Functional medicine approach to traumatic brain injury. //Medical Acupuncture, 29//(4), 206-214. https://doi.org/10.1089/acu.2017.1217
Wenk-Sormaz, H. (2005). Meditation can reduce habitual responding. //Alternative Therapies in Health and Medicine, 11//(2), 42-58.
Valls-Serrano, C., Caracuel, A., & Verdejo-Garcia, A. (2016). Goal management training and mindfulness meditation improve executive functions and transfer to ecological tasks of daily life in polysubstance users enrolled in therapeutic community treatment. //Drug and Alcohol Dependence, 165//, 9-14. https://doi.org/10.1016/j.drugalcdep.2016.04.040
Donnelly, K.Z., Linnea, K., Grant, D.A., & Lichtenstein, J. (2017). The feasibility and impact of a yoga pilot programme on the quality-of-life of adults with acquired brain injury. //Brain Injury, 31//(2), 208-214. https://doi.org/10.1080/02699052.2016.1225988
Newcombe, B.C., & Weaver, A.D. (2016). Mindfulness, cognitive distraction, and sexual well-being in women. //Canadian Journal of Human Sexuality, 25//(2), 99-108. https://doi.org/10.3138/cjhs.252-A3
Gallagher, K.E., & Parrott, D.J. (2011). Does distraction reduce the alcohol-aggression relation? A cognitive and behavioral test of the attention-allocation model. //Journal of Consulting and Clinical Psychology, 79//(3), 319-329. https://doi.org/10.1037/a0023065
Teoh, S.Y., Yeoh, W., & Zadeh, H.S. (2017). Towards a resilience management framework for complex enterprise systems upgrade implementation. //Enterprise Information Systems, 11//(5), 694-718. https://doi.org/10.1080/17517575.2015.1085096
Caltabiano, G., & Martin, G. (2017). Mindless suffering: The relationship between mindfulness and non-suicidal self-injury. //Mindfulness, 8//(3), 788-796. https://doi.org/10.1007/s12671-016-0657-y
Kopacz, M.S., Connery, A.L., Bishop, T.M., Bryan, C.J., Drescher, K.D., Currier, J.M., ... & Pigeon, W.R. (2016). Moral injury: A new challenge for complementary and alternative medicine. //Complementary Therapies in Medicine, 24//, 29-33. https://doi.org/10.1016/j.ctim.2015.11.003
Cahn, B.R., & Polich, J. (2009). Meditation (Vipassana) and the p3a event-related brain potential. //International Journal of Psychophysiology, 72//(1), 51-60. https://doi.org/10.1016/j.ijpsycho.2008.03.013
Ginzburg, K., Tsur, N., Karmin, C., Speizman, T., Tourgeman, R., & Defrin, R. (2015). Body awareness and pain habituation: The role of orientation towards somatic signals. //Journal of Behavioral Medicine, 38//(6), 876-885. https://doi.org/10.1007/s10865-015-9676-8
Harrison, N., & Peacock, N. (2010). Cultural distance, mindfulness and passive xenophobia: Using Integrated Threat Theory to explore home higher education students' perspectives on 'internationalisation at home'. //British Educational Research Journal, 36//(6), 877-902. https://doi.org/10.1080/01411920903191047
Alfonso, J.P., Caracuel, A., Delgado-Pastor, L.C., & Verdejo-Garcia, A. (2011). Combined goal management training and mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers. //Drug and Alcohol Dependence, 117//(1), 78-81. https://doi.org/10.1016/j.drugalcdep.2010.12.025
Hofer, H., Holtforth, M.G., Luthy, F., Frischknecht, E., Znoj, H., & Muri, R.M. (2014). The potential of a mindfulness-enhanced, integrative neuro-psychotherapy program for treating fatigue following stroke: A preliminary study. //Mindfulness, 5//(2), 192-199. https://doi.org/10.1007/s12671-012-0167-5
Verplanken, B., & Fisher, N. (2014). Habitual worrying and benefits of mindfulness. //Mindfulness, 5//(5), 566-573. https://doi.org/10.1007/s12671-013-0211-0
Vago, D.R., & Nakamura, Y. (2011). Selective attentional bias towards pain-related threat in fibromyalgia: Preliminary evidence for effects of mindfulness meditation training. //Cognitive Therapy and Research, 35//(6), 581-594. https://doi.org/10.1007/s10608-011-9391-x
Verplanken, B. (2012). When bittersweet turns sour: Adverse effects of nostalgia on habitual worriers. //European Journal of Social Psychology, 42//(3), 285-289. https://doi.org/10.1002/ejsp.1852
Sharpe, L., Perry, K.N., Rogers, P., Refshauge, K., & Nicholas, M.K. (2013). A comparison of the effect of mindfulness and relaxation on responses to acute experimental pain. //European Journal of Pain, 17//(5), 742-752. https://doi.org/10.1002/j.1532-2149.2012.00241.x
Pelletier, R., Higgins, J., & Bourbonnais, D. (2015). Addressing neuroplastic changes in distributed areas of the nervous system associated with chronic musculoskeletal disorders. //Physical Therapy, 95//(11), 1582-1591. https://doi.org/10.2522/ptj.20140575
Ozen, L.J., Dubois, S., Gibbons, C., Short, M.M., Maxwell, H., & Bedard, M. (2016). Mindfulness interventions improve depression symptoms after traumatic brain injury: Are individual changes clinically significant?//Mindfulness, 7//(6), 1356-1364. https://doi.org/10.1007/s12671-016-0577-x
Ivarsson, A., Johnson, U., Andersen, M.B., Fallby, J., & Altemyr, M. (2015). It pays to pay attention: A mindfulness-based program for injury prevention with soccer players. //Journal of Applied Sport Psychology, 27//(3), 319-334. https://doi.org/10.1080/10413200.2015.1008072
Kangas, M., & McDonald, S. (2011). Is it time to act? The potential of acceptance and commitment therapy for psychological problems following acquired brain injury. //Neuropsychological Rehabilitation, 21//(2), 250-276. https://doi.org/10.1080/09602011.2010.540920
Keng, S.L., & Tong, E.M.W. (2016). Riding the tide of emotions with mindfulness: Mindfulness, affect dynamics, and the mediating role of coping. //Emotion, 16//(5), 706-718. https://doi.org/10.1037/emo0000165
Johansson, B., Bjuhr, H., Karlsson, M., Karlsson, J.O., & Ronnback, L. (2015). Mindfulness-based stress reduction (MBSR) delivered live on the internet to individuals suffering from mental fatigue after an acquired brain injury. //Mindfulness, 6//(6), 1356-1365. https://doi.org/10.1007/s12671-015-0406-7
Wahl, K., Huelle, J.O., Zurowski, B., & Kordon, A. (2013). Managing obsessive thoughts during brief exposure: An experimental study comparing mindfulness-based strategies and distraction in obsessive-compulsive disorder. //Cognitive Therapy and Research, 37//(4), 752-761. https://doi.org/10.1007/s10608-012-9503-2
Jain, S., Shapiro, S.L., Swanick, S., Roesch, S.C., Mills, P.J., Bell, I., ... & Schwartz, G.E.R. (2007). A randomized controlled trial of mindfulness meditation versus relaxation training: Effects on distress, positive states of mind, rumination, and distraction. //Annals of Behavioral Medicine, 33//(1), 11-21. https://doi.org/10.1207/s15324796abm3301_2
Broderick, P. (2005). Mindfulness and coping with dysphoric mood: Contrasts with rumination and distraction. //Cognitive Therapy and Research, 29//(5), 501-510. https://doi.org/10.1007/s10608-005-3888-0
Odou, N., & Brinker, J. (2015). Self-compassion, a better alternative to rumination than distraction as a response to negative mood. //Journal of Positive Psychology, 10//(5), 447-457. https://doi.org/10.1080/17439760.2014.967800
Weger, U.W., Hooper, N., Meier, B.P., & Hopthrow, T. (2012). Mindful maths: Reducing the impact of stereotype threat through a mindfulness exercise. //Consciousness and Cognition, 21//(1), 471-475. https://doi.org/10.1016/j.concog.2011.10.011
Prins, B., Decuypere, A., & Van Damme, S. (2014). Effects of mindfulness and distraction on pain depend upon individual differences in pain catastrophizing: An experimental study. //European Journal of Pain, 18//(9), 1307-1315. https://doi.org/10.1002/j.1532-2149.2014.491.x
Ponsford, J., Bayley, M., Wiseman-Hakes, C., Togher, L., Velikonja, D., McIntyre, A., ... & Tate, R. (2014). Incog recommendations for management of cognition following traumatic brain injury, Part II: Attention and information processing speed. //Journal of Head Trauma Rehabilitation, 29//(4), 321-337. https://doi.org/10.1097/HTR.0000000000000072
McHugh, L., & Wood, R. (2013). Stimulus over-selectivity in temporal brain injury: Mindfulness as a potential intervention. //Brain Injury, 27//(13-14), 1595-1599. https://doi.org/10.3109/02699052.2013.834379
Haller, C.S. (2015). Mindful creativity scale (MCS): Validation of a German version of the Langer mindfulness scale with patients with severe tbi and controls. //Brain Injury, 29//(4), 517-526. https://doi.org/10.3109/02699052.2014.989906
Marek, R.J., Ben-Porath, D.D., Federici, A., Wisniewski, L., & Warren, M. (2013). Targeting premeal anxiety in eating disordered clients and normal controls: A preliminary investigation into the use of mindful eating vs. distraction during food exposure. //International Journal of Eating Disorders, 46//(6), 582-585. https://doi.org/10.1002/eat.22152
Heeren, A., Maurage, P., & Philippot, P. (2013). A bayesian case-controls exploration of the malleability of attentional bias for threat in social phobia. //International Journal of Cognitive Therapy, 6//(1), 24-39. https://doi.org/10.1521/ijct.2013.6.1.24
Tsai, A., Hughes, E.K., Fuller-Tyszkiewicz, M., Buck, K., & Krug, I. (2017). The differential effects of mindfulness and distraction on affect and body satisfaction following food consumption. //Frontiers in Psychology, 8//, 1696. https://doi.org/10.3389/fpsyg.2017.01696
Kuehner, C., Huffziger, S., & Liebsch, K. (2009). Rumination, distraction and mindful self-focus: Effects on mood, dysfunctional attitudes and cortisol stress response. //Psychological Medicine, 39//(2), 219-228. https://doi.org/10.1017/S0033291708003553
Hilt, L.M., & Pollak, S.D. (2012). Getting out of rumination: Comparison of three brief interventions in a sample of youth. //Journal of Abnormal Child Psychology, 40//(7), 1157-1165. https://doi.org/10.1007/s10802-012-9638-3
Fitzpatrick, S., & Kuo, J.R. (2016). The impact of stimulus arousal level on emotion regulation effectiveness in borderline personality disorder. //Psychiatry Research, 241//, 242-248. https://doi.org/10.1016/j.psychres.2016.05.004
Metcalfe, R.K., Fitzpatrick, S., & Kuo, J.R. (2017). A laboratory examination of emotion regulation skill strengthening in borderline personality disorder. //Personality Disorders-theory Research and Treatment, 8//(3), 237-246. https://doi.org/10.1037/per0000156
Legal, J.B., Meyer, T., Csillik, A., & Nicolas, P.A. (2016). Goal priming, public transportation habit and travel mode selection: The moderating role of trait mindfulness. //Transportation Research Part F: Traffic Psychology and Behaviour, 38//, 47-54. https://doi.org/10.1016/j.trf.2016.01.003
Ju, Y.J., & Lien, Y.W. (2016). Better control with less effort: The advantage of using focused-breathing strategy over focused-distraction strategy on thought suppression. //Consciousness and Cognition, 40//, 9-16. https://doi.org/10.1016/j.concog.2015.12.002
Fisher, N.R., Mead, B.R., Lattimore, P., & Malinowski, P. (2017). Dispositional mindfulness and reward motivated eating: The role of emotion regulation and mental habit. //Appetite, 118//, 41-48. https://doi.org/10.1016/j.appet.2017.07.019
Low, C.A., Stanton, A.L., & Bower, J.E. (2008). Effects of acceptance-oriented versus evaluative emotional processing on heart rate recovery and habituation. //Emotion, 8//(3), 419-424. https://doi.org/10.1037/1528-3542.8.3.419
Heeren, A., Maurage, P., Perrot, H., De Volder, A., Renier, L., Araneda, R., ... & Philippot, P. (2014). Tinnitus specifically alters the top-down executive control sub-component of attention: Evidence from the attention network task. //Behavioural Brain Research, 269//, 147-154. https://doi.org/10.1016/j.bbr.2014.04.043
Haller, C.S., Bosma, C.M., Kapur, K., Zafonte, R., & Langer, E.J. (2017). Mindful creativity matters: Trajectories of reported functioning after severe traumatic brain injury as a function of mindful creativity in patients' relatives: A multilevel analysis. //Quality of Life Research, 26//(4), 893-902. https://doi.org/10.1007/s11136-016-1416-1
Hartmann, A.S., Thomas, J.J., Greenberg, J.L., Rosenfield, E.H., & Wilhelm, S. (2015). Accept, distract, or reframe? an exploratory experimental comparison of strategies for coping with intrusive body image thoughts in anorexia nervosa and body dysmorphic disorder. //Psychiatry Research, 225//(3), 643-650. https://doi.org/10.1016/j.psychres.2014.11.031
Ortner, C.N.M., & Zelazo, P.D. (2014). Responsiveness to a mindfulness manipulation predicts affect regarding an anger-provoking situation. //Canadian Journal of Behavioural Science-revue Canadienne Des Sciences Du Comportement, 46//(2), 117-124. https://doi.org/10.1037/a0029664
Azulay, J., Smart, C.M., Mott, T., & Cicerone, K.D. (2013). A pilot study examining the effect of mindfulness-based stress reduction on symptoms of chronic mild traumatic brain injury/postconcussive syndrome. //Journal of Head Trauma Rehabilitation, 28//(4), 323-331. https://doi.org/10.1097/HTR.0b013e318250ebda
Levenson, R.W., Ekman, P., & Ricard, M. (2012). Meditation and the startle response: A case study. //Emotion, 12//(3), 650-658. https://doi.org/10.1037/a0027472
Zeidan, F., Gordon, N.S., Merchant, J., & Goolkasian, P. (2010). The effects of brief mindfulness meditation training on experimentally induced pain. //Journal of Pain, 11//(3), 199-209. https://doi.org/10.1016/j.jpain.2009.07.015
Bedard, M., Felteau, M., Marshall, S., Cullen, N., Gibbons, C., Dubois, S., ... & Moustgaard, A. (2014). Mindfulness-based cognitive therapy reduces symptoms of depression in people with a traumatic brain injury: Results from a randomized controlled trial. //Journal of Head Trauma Rehabilitation, 29//(4), E13-E22. https://doi.org/10.1097/HTR.0b013e3182a615a0
Arnaudova, I., Kindt, M., Fanselow, M., & Beckers, T. (2017). Pathways towards the proliferation of avoidance in anxiety and implications for treatment. //Behaviour Research and Therapy, 96//, 3-13. https://doi.org/10.1016/j.brat.2017.04.004
Bedard, M., Felteau, M., Mazmanian, D., Fedyk, K., Klein, R., Richardson, J., ... & Minthorn-Biggs, M.B. (2003). Pilot evaluation of a mindfulness-based intervention to improve quality of life among individuals who sustained traumatic brain injuries. //Disability and Rehabilitation, 25//(13), 722-731. https://doi.org/10.1080/0963828031000090489
McMillan, T., Robertson, I.H., Brock, D., & Chorlton, L. (2002). Brief mindfulness training for attentional problems after traumatic brain injury: A randomised control treatment trial. //Neuropsychological Rehabilitation, 12//(2), 117-125. https://doi.org/10.1080/09602010143000202
Verplanken, B., & Tangelder, Y. (2011). No body is perfect: The significance of habitual negative thinking about appearance for body dissatisfaction, eating disorder propensity, self-esteem and snacking. //Psychology & Health, 26//(6), 685-701. https://doi.org/10.1080/08870441003763246
Bay, E., Ribbens-Grimm, C., & Chan, R.R. (2016). Development and testing of two lifestyle interventions for persons with chronic mild-to-moderate traumatic brain injury: Acceptability and feasibility. //Applied Nursing Research, 30//, 90-93. https://doi.org/10.1016/j.apnr.2015.11.003
Rees, C.S., Hasking, P., Breen, L.J., Lipp, O.V., & Mamotte, C. (2015). Group mindfulness based cognitive therapy vs group support for self-injury among young people: Study protocol for a randomised controlled trial. //BMC Psychiatry, 15//, 154. https://doi.org/10.1186/s12888-015-0527-5
Johansson, B., & Ronnback, L. (2017). Assessment and treatment of mental fatigue after a traumatic brain injury. //Neuropsychological Rehabilitation, 27//(7), 1047-1055. https://doi.org/10.1080/09602011.2017.1292921
Parisi, J.M., Stine-Morrow, E.A.L., Noh, S.R., & Morrow, D.G. (2009). Predispositional engagement, activity engagement, and cognition among older adults. //Aging Neuropsychology and Cognition, 16//(4), 485-504. https://doi.org/10.1080/13825580902866653
Mrazek, M.D., Franklin, M.S., Phillips, D.T., Baird, B., & Schooler, J.W. (2013). Mindfulness training improves working memory capacity and gre performance while reducing mind wandering. //Psychological Science, 24//(5), 776-781. https://doi.org/10.1177/0956797612459659
Hilt, L.M., McLaughlin, K.A., & Nolen-Hoeksema, S. (2010). Examination of the response styles theory in a community sample of young adolescents. //Journal of Abnormal Child Psychology, 38//(4), 545-556. https://doi.org/10.1007/s10802-009-9384-3
Uusberg, H., Uusberg, A., Talpsep, T., & Paaver, M. (2016). Mechanisms of mindfulness: The dynamics of affective adaptation during open monitoring. //Biological Psychology, 118//, 94-106. https://doi.org/10.1016/j.biopsycho.2016.05.004
Tomasino, B., Chiesa, A., & Fabbro, F. (2014). Disentangling the neural mechanisms involved in Hinduism- and Buddhism-related meditations. //Brain and Cognition, 90//, 32-40. https://doi.org/10.1016/j.bandc.2014.03.013
Roberts, N., Lee, V., Ananng, B., & Korner, A. (2016). Acceptability of bibliotherapy for patients with cancer: A qualitative, descriptive study. //Oncology Nursing Forum, 43//(5), 588-594. https://doi.org/10.1188/16.ONF.588-594
[img[tps72.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kuyken, W., Hayes, R., Barrett, B., Byng, R., Dalgleish, T., Kessler, D., ... & Byford, S. (2015). The effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse/recurrence: Results of a randomised controlled trial (the prevent study). //Health Technology Assessment, 19//(73). https://doi.org/10.3310/hta19730
Huijbers, M.J., Spijker, J., Donders, A.R.T., van Schaik, D.J.F., van Oppen, P., Ruhe, H.G., ... & Speckens, A.E.M. (2012). Preventing relapse in recurrent depression using mindfulness-based cognitive therapy, antidepressant medication or the combination: Trial design and protocol of the moment study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-125
van Ravesteijn, H., Grutters, J., Hartman, T.O., Lucassen, P., Bor, H., van Weel, C., ... & Speckens, A. (2013). Mindfulness-based cognitive therapy for patients with medically unexplained symptoms: A cost-effectiveness study. //Journal of Psychosomatic Research, 74//(3), 197-205. https://doi.org/10.1016/j.jpsychores.2013.01.001
Huijbers, M.J., Spinhoven, P., Spijker, J., Ruhe, H.G., van Schaik, D.J.F., van Oppen, P., ... & Speckens, A.E.M. (2015). Adding mindfulness-based cognitive therapy to maintenance antidepressant medication for prevention of relapse/recurrence in major depressive disorder: Randomised controlled trial. //Journal of Affective Disorders, 187//, 54-61. https://doi.org/10.1016/j.jad.2015.08.023
Kuyken, W., Watkins, E., Holden, E., White, K., Taylor, R.S., Byford, S., ... & Dalgleish, T. (2010). How does mindfulness-based cognitive therapy work?. //Behaviour Research and Therapy, 48//(11), 1105-1112. https://doi.org/10.1016/j.brat.2010.08.003
Kuyken, W., Byford, S., Taylor, R.S., Watkins, E., Holden, E., White, K., ... & Teasdale, J.D. (2008). Mindfulness-based cognitive therapy to prevent relapse in recurrent depression. //Journal of Consulting and Clinical Psychology, 76//(6), 966-978. https://doi.org/10.1037/a0013786
Huijbers, M.J., Spinhoven, P., van Schaik, D.J.F., Nolen, W.A., & Speckens, A.E.M. (2016). Patients with a preference for medication do equally well in mindfulness-based cognitive therapy for recurrent depression as those preferring mindfulness. //Journal of Affective Disorders, 195//, 32-39. https://doi.org/10.1016/j.jad.2016.01.041
Kuyken, W., Byford, S., Byng, R., Dalgleish, T., Lewis, G., Taylor, R., ... & Evans, A. (2010). Study protocol for a randomized controlled trial comparing mindfulness-based cognitive therapy with maintenance anti-depressant treatment in the prevention of depressive relapse/recurrence: The prevent trial. //Trials, 11//. https://doi.org/10.1186/1745-6215-11-99
Huijbers, M.J., Spinhoven, P., Spijker, J., Ruhe, H.G., van Schaik, D.J.F., van Oppen, P., ... & Speckens, A.E.M. (2016). Discontinuation of antidepressant medication after mindfulness-based cognitive therapy for recurrent depression: Randomised controlled non-inferiority trial. //British Journal of Psychiatry, 208//(4), 366-373. https://doi.org/10.1192/bjp.bp.115.168971
Kuyken, W., Byford, S., Byng, R., Dalgleish, T., Lewis, G., Taylor, R., ... & Evans, A. (2014). Update to the study protocol for a randomized controlled trial comparing mindfulness-based cognitive therapy with maintenance anti-depressant treatment depressive relapse/recurrence: The prevent trial. //Trials, 15//. https://doi.org/10.1186/1745-6215-15-217
Williams, J.M.G., Crane, C., Barnhofer, T., Brennan, K., Duggan, D.S., Fennell, M.J.V., ... & Russell, I.T. (2014). Mindfulness-based cognitive therapy for preventing relapse in recurrent depression: A randomized dismantling trial. //Journal of Consulting and Clinical Psychology, 82//(2), 275-286. https://doi.org/10.1037/a0035036
McManus, F., Surawy, C., Muse, K., Vazquez-Montes, M., & Williams, J.M.G. (2012). A randomized clinical trial of mindfulness-based cognitive therapy versus unrestricted services for health anxiety (hypochondriasis). //Journal of Consulting and Clinical Psychology, 80//(5), 817-828. https://doi.org/10.1037/a0028782
Kurdyak, P., Newman, A., & Segal, Z. (2014). Impact of mindfulness-based cognitive therapy on health care utilization: A population-based controlled comparison. //Journal of Psychosomatic Research, 77//(2), 85-89. https://doi.org/10.1016/j.jpsychores.2014.06.009
Abolghasemi, A., Gholami, H., Narimani, M., & Gamji, M. (2015). The effect of beck ' s cognitive therapy and mindfulness-based cognitive therapy on sociotropic and autonomous personality styles in patients with depression. //Iranian Journal of Psychiatry and Behavioral Sciences, 9//(4). https://doi.org/10.17795/ijpbs-3665
Verhoeven, J.E., Vrijsen, J.N., van Oostrom, I., Speckens, A.E.M., & Rinck, M. (2014). Attention effects of mindfulness-based cognitive therapy in formerly depressed patients. //Journal of Experimental Psychopathology, 5//(4), 414-424. https://doi.org/10.5127/jep.037513
Wheeler, A., Denson, L., Neil, C., Tucker, G., Kenny, M., Beltrame, J.F., ... & Proeve, M. (2014). Investigating the effect of mindfulness training on heart rate variability in mental health outpatients: A pilot study. //Behaviour Change, 31//(3), 175-188. https://doi.org/10.1017/bec.2014.14
Boggs, J.M., Beck, A., Felder, J.N., Dimidjian, S., Metcalf, C.A., & Segal, Z.V. (2014). Web-based intervention in mindfulness meditation for reducing residual depressive symptoms and relapse prophylaxis: A qualitative study. //Journal of Medical Internet Research, 16//(3), 332-343. https://doi.org/10.2196/jmir.3129
Meadows, G.N., Shawyer, F., Enticott, J.C., Graham, A.L., Judd, F., Martin, P.R., ... & Segal, Z. (2014). Mindfulness-based cognitive therapy for recurrent depression: A translational research study with 2-year follow-up. //Australian and New Zealand Journal of Psychiatry, 48//(8), 743-755. https://doi.org/10.1177/0004867414525841
Schroevers, M.J., Tovote, K.A., Snippe, E., & Fleer, J. (2016). Group and individual mindfulness-based cognitive therapy (MBCT) are both effective: A pilot randomized controlled trial in depressed people with a somatic disease. //Mindfulness, 7//(6), 1339-1346. https://doi.org/10.1007/s12671-016-0575-z
Kim, B., Cho, S.J., Lee, K.S., Lee, J.Y., Choe, A.Y., Lee, J.E., ... & Lee, S.H. (2013). Factors associated with treatment outcomes in mindfulness-based cognitive therapy for panic disorder. //Yonsei Medical Journal, 54//(6), 1454-1462. https://doi.org/10.3349/ymj.2013.54.6.1454
Dimidjian, S., Beck, A., Felder, J.N., Boggs, J.M., Gallop, R., & Segal, Z.V. (2014). Web-based mindfulness-based cognitive therapy for reducing residual depressive symptoms: An open trial and quasi-experimental comparison to propensity score matched controls. //Behaviour Research and Therapy, 63//, 83-89. https://doi.org/10.1016/j.brat.2014.09.004
Jermann, F., Van der Linden, M., Gex-Fabry, M., Guarin, A., Kosel, M., Bertschy, G., ... & Bondolfi, G. (2013). Cognitive functioning in patients remitted from recurrent depression: Comparison with acutely depressed patients and controls and follow-up of a mindfulness-based cognitive therapy trial. //Cognitive Therapy and Research, 37//(5), 1004-1014. https://doi.org/10.1007/s10608-013-9544-1
McManus, F., Muse, K., Surawy, C., Hackmann, A., & Williams, J.M.G. (2015). Relating differently to intrusive images: The impact of mindfulness-based cognitive therapy (MBCT) on intrusive images in patients with severe health anxiety (hypochondriasis). //Mindfulness, 6//(4), 788-796. https://doi.org/10.1007/s12671-014-0318-y
Kuyken, W., Warren, F.C., Taylor, R.S., Whalley, B., Crane, C., Bondolfi, G., ... & Dalgleish, T. (2016). Efficacy of mindfulness-based cognitive therapy in prevention of depressive relapse an individual patient data meta-analysis from randomized trials. //JAMA Psychiatry, 73//(6), 565-574. https://doi.org/10.1001/jamapsychiatry.2016.0076
Snippe, E., Viechtbauer, W., Geschwind, N., Klippel, A., de Jonge, P., & Wichers, M. (2017). The impact of treatments for depression on the dynamic network structure of mental states: Two randomized controlled trials. //Scientific Reports, 7//. https://doi.org/10.1038/srep46523
Teasdale, J.D., Segal, Z.V., Williams, J.M.G., Ridgeway, V.A., Soulsby, J.M., & Lau, M.A. (2000). Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy. //Journal of Consulting and Clinical Psychology, 68//(4), 615-623. https://doi.org/10.1037//0022-006X.68.4.615
Schoenberg, P.L.A., & Speckens, A.E.M. (2014). Modulation of induced frontocentral theta (Fm-θ) event-related (de-)synchronisation dynamics following mindfulness-based cognitive therapy in Major Depressive Disorder. //Cognitive Neurodynamics, 8//(5), 373-388. https://doi.org/10.1007/s11571-014-9294-0
Howells, F.M., Rauch, H.G.L., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2014). Mindfulness based cognitive therapy may improve emotional processing in bipolar disorder: Pilot ERP and HRV study. //Metabolic Brain Disease, 29//(2), 367-375. https://doi.org/10.1007/s11011-013-9462-7
Lau, M.A., Colley, L., Willett, B.R., & Lynd, L.D. (2012). Employee's preferences for access to mindfulness-based cognitive therapy to reduce the risk of depressive relapse-a discrete choice experiment. //Mindfulness, 3//(4), 318-326. https://doi.org/10.1007/s12671-012-0108-3
Cladder-Micus, M.B., Vrijsen, J.N., Becker, E.S., Donders, R., Spijker, J., & Speckens, A.E.M. (2015). A randomized controlled trial of Mindfulness-Based Cognitive Therapy (MBCT) versus treatment-as-usual (TAU) for chronic, treatment-resistant depression: study protocol. //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0647-y
van Ravesteijn, H., Lucassen, P., Bor, H., van Weel, C., & Speckens, A. (2013). Mindfulness-based cognitive therapy for patients with medically unexplained symptoms: A randomized controlled trial. //Psychotherapy and Psychosomatics, 82//(5), 299-310. https://doi.org/10.1159/000348588
Williams, M.J., McManus, F., Muse, K., & Williams, J.M.G. (2011). Mindfulness-based cognitive therapy for severe health anxiety (hypochondriasis): An interpretative phenomenological analysis of patients' experiences. //British Journal of Clinical Psychology, 50//, 379-397. https://doi.org/10.1111/j.2044-8260.2010.02000.x
Godfrin, K.A., & van Heeringen, C. (2010). The effects of mindfulness-based cognitive therapy on recurrence of depressive episodes, mental health and quality of life: A randomized controlled study. //Behaviour Research and Therapy, 48//(8), 738-746. https://doi.org/10.1016/j.brat.2010.04.006
Visted, E., Sorensen, L., Osnes, B., Svendsen, J.L., Binder, P.E., & Schanche, E. (2017). The association between self-reported difficulties in emotion regulation and heart rate variability: The salient role of not accepting negative emotions. //Frontiers in Psychology, 8//, 328. https://doi.org/10.3389/fpsyg.2017.00328
Mankus, A.M., Aldao, A., Kerns, C., Mayville, E.W., & Mennin, D.S. (2013). Mindfulness and heart rate variability in individuals with high and low generalized anxiety symptoms. //Behaviour Research and Therapy, 51//(7), 386-391. https://doi.org/10.1016/j.brat.2013.03.005
Shawyer, F., Meadows, G.N., Judd, F., Martin, P.R., Segal, Z., & Piterman, L. (2012). The dare study of relapse prevention in depression: Design for a phase 1/2 translational randomised controlled trial involving mindfulness-based cognitive therapy and supported self monitoring. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-3
Rycroft-Malone, J., Anderson, R., Crane, R.S., Gibson, A., Gradinger, F., Griffiths, H.O., ... & Kuyken, W. (2014). Accessibility and implementation in UK services of an effective depression relapse prevention programme – mindfulness-based cognitive therapy (MBCT): ASPIRE study protocol. //Implementation Science, 9//. https://doi.org/10.1186/1748-5908-9-62
Chiesa, A., Castagner, V., Andrisano, C., Serretti, A., Mandelli, L., Porcelli, S., ... & Giommi, F. (2015). Mindfulness-based cognitive therapy vs. psycho-education for patients with major depression who did not achieve remission following antidepressant treatment. //Psychiatry Research, 226//(42769), 474-483. https://doi.org/10.1016/j.psychres.2015.02.003
Metcalf, C.A., & Dimidjian, S. (2014). Extensions and mechanisms of mindfulness-based cognitive therapy: A review of the evidence. //Australian Psychologist, 49//(5), 271-279. https://doi.org/10.1111/ap.12074
Batink, T., Peeters, F., Geschwind, N., van Os, J., & Wichers, M. (2013). How does MBCT for depression work? studying cognitive and affective mediation pathways. //PLOS ONE, 8//(8). https://doi.org/10.1371/journal.pone.0072778
Crane, R.S., & Kuyken, W. (2013). The implementation of mindfulness-based cognitive therapy: Learning from the uk health service experience. //Mindfulness, 4//(3), 246-254. https://doi.org/10.1007/s12671-012-0121-6
Huijbers, M.J., Crane, R.S., Kuyken, W., Heijke, L., van den Hout, I., Donders, A.R.T., ... & Speckens, A.E.M. (2017). Teacher competence in mindfulness-based cognitive therapy for depression and its relation to treatment outcome. //Mindfulness, 8//(4), 960-972. https://doi.org/10.1007/s12671-016-0672-z
Bostanov, V., Keune, P.M., Kotchoubey, B., & Hautzinger, M. (2012). Event-related brain potentials reflect increased concentration ability after mindfulness-based cognitive therapy for depression: A randomized clinical trial. //Psychiatry Research, 199//(3), 174-180. https://doi.org/10.1016/j.psychres.2012.05.031
Kuyken, W., Hayes, R., Barrett, B., Byng, R., Dalgleish, T., Kessler, D., ... & Byford, S. (2015). Effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse or recurrence (prevent): A randomised controlled trial. //Lancet, 386//(9988), 63-73. https://doi.org/10.1016/S0140-6736(14)62222-4
Malpass, A., Kessler, D., Sharp, D., & Shaw, A. (2015). Mbct for patients with respiratory conditions who experience anxiety and depression: A qualitative study. //Mindfulness, 6//(5), 1181-1191. https://doi.org/10.1007/s12671-014-0370-7
van Aalderen, J.R., Donders, A.R.T., Peffer, K., & Speckens, A.E.M. (2015). Long-term outcome of mindfulness-based cognitive therapy in recurrently depressed patients with and without a depressive episode at baseline. //Depression and Anxiety, 32//(8), 563-NA. https://doi.org/10.1002/da.22369
Luberto, C.M., Magidson, J.F., & Blashill, A.J. (2017). A case study of individually delivered mindfulness-based cognitive behavioral therapy for severe health anxiety. //Cognitive and Behavioral Practice, 24//(4), 484-495. https://doi.org/10.1016/j.cbpra.2016.10.001
Mason, O., & Hargreaves, I. (2001). A qualitative study of mindfulness-based cognitive therapy for depression. //British Journal of Medical Psychology, 74//, 197-212. https://doi.org/10.1348/000711201160911
Kirby, J.N., Doty, J.R., Petrocchi, N., & Gilbert, P. (2017). The current and future role of heart rate variability for assessing and training compassion. //Frontiers in Public Health, 5//. https://doi.org/10.3389/fpubh.2017.00040
Felder, J.N., Segal, Z., Beck, A., Sherwood, N.E., Goodman, S.H., Boggs, J., ... & Dimidjian, S. (2017). An open trial of web-based mindfulness-based cognitive therapy for perinatal women at risk for depressive relapse. //Cognitive and Behavioral Practice, 24//(1), 26-37. https://doi.org/10.1016/j.cbpra.2016.02.002
Michalak, J., Heidenirich, T., Meibert, P., & Schulte, D. (2008). Mindfulness predicts relapse/recurrence in major depressive disorder after mindfulness-based cognitive therapy. //Journal of Nervous and Mental Disease, 196//(8), 630-633. https://doi.org/10.1097/NMD.0b013e31817d0546
Armstrong, L., & Rimes, K.A. (2016). Mindfulness-based cognitive therapy for neuroticism (stress vulnerability): A pilot randomized study. //Behavior Therapy, 47//(3), 287-298. https://doi.org/10.1016/j.beth.2015.12.005
Munshi, K., Eisendrath, S., & Delucchi, K. (2013). Preliminary long-term follow-up of mindfulness-based cognitive therapy-induced remission of depression. //Mindfulness, 4//(4), 354-361. https://doi.org/10.1007/s12671-012-0135-0
Chiesa, A., Mandelli, L., & Serretti, A. (2012). Mindfulness-based cognitive therapy versus psycho-education for patients with major depression who did not achieve remission following antidepressant treatment: A preliminary analysis. //Journal of Alternative and Complementary Medicine, 18//(8), 756-760. https://doi.org/10.1089/acm.2011.0407
Lahera, G., Bayon, C., Bravo-Ortiz, M.F., Rodriguez-Vega, B., Barbeito, S., Saenz, M., ... & de Dios, C. (2014). Mindfulness-based cognitive therapy versus psychoeducational intervention in bipolar outpatients with sub-threshold depressive symptoms: A randomized controlled trial. //BMC Psychiatry, 14//. https://doi.org/10.1186/s12888-014-0215-x
Surawy, C., McManus, F., Muse, K., & Williams, J.M.G. (2015). Mindfulness-based cognitive therapy (MBCT) for health anxiety (hypochondriasis): Rationale, implementation and case illustration. //Mindfulness, 6//(2), 382-392. https://doi.org/10.1007/s12671-013-0271-1
van Ravesteijn, H.J., Suijkerbuijk, Y.B., Langbroek, J.A., Muskens, E., Lucassen, P.L.B.J., van Weel, C., ... & Speckens, A.E.M. (2014). Mindfulness-based cognitive therapy (MBCT) for patients with medically unexplained symptoms: Process of change. //Journal of Psychosomatic Research, 77//(1), 27-33. https://doi.org/10.1016/j.jpsychores.2014.04.010
Segal, Z.V., Teasdale, J.D., Williams, J.M., & Gemar, M.C. (2002). The mindfulness-based cognitive therapy adherence scale: Inter-rater reliability, adherence to protocol and treatment distinctiveness. //Clinical Psychology & Psychotherapy, 9//(2), 131-138. https://doi.org/10.1002/cpp.320
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2015). An open trial of mindfulness-based cognitive therapy for the prevention of perinatal depressive relapse/recurrence. //Archives of Womens Mental Health, 18//(1), 85-94. https://doi.org/10.1007/s00737-014-0468-x
Day, M.A., Thorn, B.E., Ward, L.C., Rubin, N., Hickman, S.D., Scogin, F., ... & Kilgo, G.R. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain a pilot study. //Clinical Journal of Pain, 30//(2), 152-161. https://doi.org/10.1097/AJP.0b013e318287a1dc
Kingston, T., Dooley, B., Bates, A., Lawlor, E., & Malone, K. (2007). Mindfulness-based cognitive therapy for residual depressive symptoms. //Psychology and Psychotherapy: Theory, Research and Practice, 80//, 193-203. https://doi.org/10.1348/147608306X116016
O'Doherty, V., Carr, A., McGrann, A., O'Neill, J.O., Dinan, S., Graham, I., ... & Maher, V. (2015). A controlled evaluation of mindfulness-based cognitive therapy for patients with coronary heart disease and depression. //Mindfulness, 6//(3), 405-416. https://doi.org/10.1007/s12671-013-0272-0
Smith, A., Graham, L., & Senthinathan, S. (2007). Mindfulness-based cognitive therapy for recurring depression in older people: A qualitative study. //Aging & Mental Health, 11//(3), 346-357. https://doi.org/10.1080/13607860601086256
Segal, Z.V., Bieling, P., Young, T., MacQueen, G., Cooke, R., Martin, L., ... & Levitan, R.D. (2010). Antidepressant monotherapy vs sequential pharmacotherapy and mindfulness-based cognitive therapy, or placebo, for relapse prophylaxis in recurrent depression. //Archives of General Psychiatry, 67//(12), 1256-1264. https://doi.org/10.1001/archgenpsychiatry.2010.168
Patten, S.B., & Meadows, G.M. (2009). Population-based service planning for implementation of mbct: Linking epidemiologic data to practice. //Psychiatric Services, 60//(11), 1540-1542. https://doi.org/10.1176/ps.2009.60.11.1540
Williams, J.M.G., Alatiq, Y., Crane, C., Barnhofer, T., Fennell, M.J.V., Duggan, D.S., ... & Goodwin, G.M. (2008). Mindfulness-based cognitive therapy (MBCT) in bipolar disorder: Preliminary evaluation of immediate effects on between-episode functioning. //Journal of Affective Disorders, 107//(42738), 275-279. https://doi.org/10.1016/j.jad.2007.08.022
Shallcross, A.J., Gross, J.J., Visvanathan, P.D., Kumar, N., Palfrey, A., Ford, B.Q., ... & Mauss, I.B. (2015). Relapse prevention in major depressive disorder: Mindfulness-based cognitive therapy versus an active control condition. //Journal of Consulting and Clinical Psychology, 83//(5), 964-975 https://doi.org/10.1037/ccp0000050
Moore, K.M., & Martin, M.E. (2015). Using MBCT in a Chronic Pain Setting: A Qualitative Analysis of Participants’ Experiences. //Mindfulness, 6//(5). https://doi.org/10.1007/s12671-014-0363-6
Randal, C., Bucci, S., Morera, T., Barrett, M., & Pratt, D. (2016). Mindfulness-based cognitive therapy for psychosis: Measuring psychological change using repertory grids. //Clinical Psychology & Psychotherapy, 23//(6), 496-508. https://doi.org/10.1002/cpp.1966
Rimes, K.A., & Wingrove, J. (2013). Mindfulness-based cognitive therapy for people with chronic fatigue syndrome still experiencing excessive fatigue after cognitive behaviour therapy: A pilot randomized study. //Clinical Psychology & Psychotherapy, 20//(2), 107-117. https://doi.org/10.1002/cpp.793
Raes, F., Dewulf, D., Van Heeringen, C., & Williams, J.M.G. (2009). Mindfulness and reduced cognitive reactivity to sad mood: Evidence from a correlational study and a non-randomized waiting list controlled study. //Behaviour Research and Therapy, 47//(7), 623-627. https://doi.org/10.1016/j.brat.2009.03.007
Schoultz, M., Atherton, I.M., Hubbard, G., & Watson, A.J.M. (2013). The use of mindfulness-based cognitive therapy for improving quality of life for inflammatory bowel disease patients: Study protocol for a pilot randomised controlled trial with embedded process evaluation. //Trials, 14//. https://doi.org/10.1186/1745-6215-14-431
Hauge, C.R., Rasmussen, A., Piet, J., Bonde, J.P., Jensen, C., Sumbundu, A., ... & Skovbjerg, S. (2015). Mindfulness-based cognitive therapy (MBCT) for multiple chemical sensitivity (MCS): Results from a randomized controlled trial with 1 year follow-up. //Journal of Psychosomatic Research, 79//(6), 628-634. https://doi.org/10.1016/j.jpsychores.2015.06.010
Manicavasagar, V., Perich, T., & Parker, G. (2012). Cognitive predictors of change in cognitive behaviour therapy and mindfulness-based cognitive therapy for depression. //Behavioural and Cognitive Psychotherapy, 40//(2), 227-232. https://doi.org/10.1017/S1352465811000634
Allen, M., Bromley, A., Kuyken, W., & Sonnenberg, S.J. (2009). Participants' experiences of mindfulness-based cognitive therapy: "it changed me in just about every way possible". //Behavioural and Cognitive Psychotherapy, 37//(4), 413-430. https://doi.org/10.1017/S135246580999004X
Ma, S.H., & Teasdale, J.D. (2004). Mindfulness-based cognitive therapy for depression: Replication and exploration of differential relapse prevention effects. //Journal of Consulting and Clinical Psychology, 72//(1), 31-40. https://doi.org/10.1037/0022-006X.72.1.31
Asl, N.H., & Barahmand, U. (2014). Effectiveness of mindfulness-based cognitive therapy for co-morbid depression in drug-dependent males. //Archives of Psychiatric Nursing, 28//(5), 314-318. https://doi.org/10.1016/j.apnu.2014.05.003
Geschwind, N., Peeters, F., Drukker, M., van Os, J., & Wichers, M. (2011). Mindfulness training increases momentary positive emotions and reward experience in adults vulnerable to depression: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 79//(5), 618-628. https://doi.org/10.1037/a0024595
King, A.P., Erickson, T.M., Giardino, N.D., Favorite, T., Rauch, S.A.M., Robinson, E., ... & Liberzon, I. (2013). A pilot study of group mindfulness-based cognitive therapy (MBCT) for combat veterans with posttraumatic stress disorder (PTSD). //Depression and Anxiety, 30//(7), 638-645. https://doi.org/10.1002/da.22104
Key, B.L., Rowa, K., Bieling, P., McCabe, R., & Pawluk, E.J. (2017). Mindfulness-based cognitive therapy as an augmentation treatment for obsessive-compulsive disorder. //Clinical Psychology & Psychotherapy, 24//(5), 1109-1120. https://doi.org/10.1002/cpp.2076
Schoultz, M., Atherton, I., & Watson, A. (2015). Mindfulness-based cognitive therapy for inflammatory bowel disease patients: Findings from an exploratory pilot randomised controlled trial. //Trials, 16//. https://doi.org/10.1186/s13063-015-0909-5
Collip, D., Geschwind, N., Peeters, F., Myin-Germeys, I., van Os, J., & Wichers, M. (2013). Putting a hold on the downward spiral of paranoia in the social world: A randomized controlled trial of mindfulness-based cognitive therapy in individuals with a history of depression. //PLOS ONE, 8//(6). https://doi.org/10.1371/journal.pone.0066747
Chambers, S.K., Occhipinti, S., Foley, E., Clutton, S., Legg, M., Berry, M., ... & Smith, D.P. (2017). Mindfulness-based cognitive therapy in advanced prostate cancer: A randomized controlled trial. //Journal of Clinical Oncology, 35//(3), 291-+. https://doi.org/10.1200/JCO.2016.68.8788
Mathew, K.L., Whitford, H.S., Kenny, M.A., & Denson, L.A. (2010). The long-term effects of mindfulness-based cognitive therapy as a relapse prevention treatment for major depressive disorder. //Behavioural and Cognitive Psychotherapy, 38//(5), 561-576. https://doi.org/10.1017/S135246581000010X
de Zoysa, N., Ruths, F.A., Walsh, J., & Hutton, J. (2014). Mindfulness based cognitive therapy for mental health professionals: A long-term qualitative follow-up study. //Mindfulness, 5//(1), 10-17. https://doi.org/10.1007/s12671-012-0141-2
Schuling, R., Huijbers, M.J., van Ravesteijn, H., Donders, R., Kuyken, W., & Speckens, A.E.M. (2016). A parallel-group, randomized controlled trial into the effectiveness of mindfulness-based compassionate living (MBCL) compared to treatment-as-usual in recurrent depression: Trial design and protocol. //Contemporary Clinical Trials, 50//, 77-83. https://doi.org/10.1016/j.cct.2016.07.014
Weber, B., Jermann, F., Gex-Fabry, M., Nallet, A., Bondolfi, G., & Aubry, J.M. (2010). Mindfulness-based cognitive therapy for bipolar disorder: A feasibility trial. //European Psychiatry, 25//(6), 334-337. https://doi.org/10.1016/j.eurpsy.2010.03.007
Williams, J.M.G., Russell, I.T., Crane, C., Russell, D., Whitaker, C.J., Duggan, D.S., ... & Silverton, S. (2010). Staying well after depression: Trial design and protocol. //BMC Psychiatry, 10//. https://doi.org/10.1186/1471-244X-10-23
Kim, Y.W., Lee, S.H., Choi, T.K., Suh, S.Y., Kim, B., Kim, C.M., ... & Yook, K.H. (2009). Effectiveness of mindfulness-based cognitive therapy as an adjuvant to pharmacotherapy in patients with panic disorder or generalized anxiety disorder. //Depression and Anxiety, 26//(7), 601-606. https://doi.org/10.1002/da.20552
Rees, C.S., Hasking, P., Breen, L.J., Lipp, O.V., & Mamotte, C. (2015). Group mindfulness based cognitive therapy vs group support for self-injury among young people: Study protocol for a randomised controlled trial. //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0527-5
Troy, A.S., Shallcross, A.J., Davis, T.S., & Mauss, I.B. (2013). History of mindfulness-based cognitive therapy is associated with increased cognitive reappraisal ability. //Mindfulness, 4//(3), 213-222. https://doi.org/10.1007/s12671-012-0114-5
Rasmussen, M.K. (2016). A feasibility study of mindfulness-based cognitive therapy for foreign nationals living in japan. //Advances in Mental Health, 14//(1), 48-56. https://doi.org/10.1080/18387357.2015.1074777
Lovas, D.A., & Barsky, A.J. (2010). Mindfulness-based cognitive therapy for hypochondriasis, or severe health anxiety: A pilot study. //Journal of Anxiety Disorders, 24//(8), 931-935. https://doi.org/10.1016/j.janxdis.2010.06.019
Tovote, K.A., Schroevers, M.J., Snippe, E., Emmelkamp, P.M.G., Links, T.P., Sanderman, R., ... & Fleer, J. (2017). What works best for whom? cognitive behavior therapy and mindfulness-based cognitive therapy for depressive symptoms in patients with diabetes. //PLOS ONE, 12//(6). https://doi.org/10.1371/journal.pone.0179941
Pots, W.T.M., Meulenbeek, P.A.M., Veehof, M.M., Klungers, J., & Bohlmeijer, E.T. (2014). The efficacy of mindfulness-based cognitive therapy as a public mental health intervention for adults with mild to moderate depressive symptomatology: A randomized controlled trial. //PLOS ONE, 9//(10). https://doi.org/10.1371/journal.pone.0109789
Schoenberg, P.L.A., Hepark, S., Kan, C.C., Barendregt, H.P., Buitelaar, J.K., & Speckens, A.E.M. (2014). Effects of mindfulness-based cognitive therapy on neurophysiological correlates of performance monitoring in adult attention-deficit/hyperactivity disorder. //Clinical Neurophysiology, 125//(7), 1407-1416. https://doi.org/10.1016/j.clinph.2013.11.031
Wu, S.D., & Lo, P.C. (2008). Inward-attention meditation increases parasympathetic activity: A study based on heart rate variability. //Biomedical Research-tokyo, 29//(5), 245-250. https://doi.org/10.2220/biomedres.29.245
Crane, C., Winder, R., Hargus, E., Amarasinghe, M., & Barnhofer, T. (2012). Effects of mindfulness-based cognitive therapy on specificity of life goals. //Cognitive Therapy and Research, 36//(3), 182-189. https://doi.org/10.1007/s10608-010-9349-4
Burg, J.M., Wolf, O.T., & Michalak, J. (2012). Mindfulness as self-regulated attention associations with heart rate variability. //Swiss Journal of Psychology, 71//(3), 135-139. https://doi.org/10.1024/1421-0185/a000080
Eisendrath, S.J., Gillung, E., Delucchi, K.L., Segal, Z.V., Nelson, J.C., McInnes, L.A., ... & Feldman, M.D. (2016). A randomized controlled trial of mindfulness-based cognitive therapy for treatment-resistant depression. //Psychotherapy and Psychosomatics, 85//(2), 99-110. https://doi.org/10.1159/000442260
Bieling, P.J., Hawley, L.L., Bloch, R.T., Corcoran, K.M., Levitan, R.D., Young, L.T., ... & Segal, Z.V. (2012). Treatment-specific changes in decentering following mindfulness-based cognitive therapy versus antidepressant medication or placebo for prevention of depressive relapse. //Journal of Consulting and Clinical Psychology, 80//(3), 365-372. https://doi.org/10.1037/a0027483
Smith, E.L., Jones, F.W., Holttum, S., & Griffiths, K. (2015). The process of engaging in mindfulness-based cognitive therapy as a partnership: A grounded theory study. //Mindfulness, 6//(3), 455-466. https://doi.org/10.1007/s12671-014-0278-2
Prowse, P.T., Meadows, G., & Enticott, J. (2015). An exploratory study into the effectiveness of fidelity scales in the delivery of mindfulness-based cognitive therapy. //Mindfulness, 6//(6), 1401-1410. https://doi.org/10.1007/s12671-015-0412-9
Britton, W.B., Shahar, B., Szepsenwol, O., & Jacobs, W.J. (2012). Mindfulness-based cognitive therapy improves emotional reactivity to social stress: Results from a randomized controlled trial. //Behavior Therapy, 43//(2), 365-380. https://doi.org/10.1016/j.beth.2011.08.006
O'Connor, M., Piet, J., & Hougaard, E. (2014). The effects of mindfulness-based cognitive therapy on depressive symptoms in elderly bereaved people with loss-related distress: A controlled pilot study. //Mindfulness, 5//(4), 400-409. https://doi.org/10.1007/s12671-013-0194-x
Shahar, B., Britton, W.B., Sbarra, D.A., Figueredo, A.J., & Bootzin, R.R. (2010). Mechanisms of change in mindfulness-based cognitive therapy for depression: Preliminary evidence from a randomized controlled trial. //International Journal of Cognitive Therapy, 3//(4), 402-418. https://doi.org/10.1521/ijct.2010.3.4.402
van Son, J., Nyklicek, I., Pop, V.J., Blonk, M.C., Erdtsieck, R.J., Spooren, P.F., ... & Pouwer, F. (2013). The Effects of a Mindfulness-Based Intervention on Emotional Distress, Quality of Life, and HbA1c in Outpatients With Diabetes (DiaMind). //Diabetes Care, 36//(4), 823-830. https://doi.org/10.2337/dc12-1477
Hauge, C.R., Bonde, J.P.E., Rasmussen, A., & Skovbjerg, S. (2012). Mindfulness-based cognitive therapy for multiple chemical sensitivity: A study protocol for a randomized controlled trial. //Trials, 13//. https://doi.org/10.1186/1745-6215-13-179
Fitzpatrick, L., Simpson, J., & Smith, A. (2010). A qualitative analysis of mindfulness-based cognitive therapy (MBCT) in parkinson's disease. //Psychology and Psychotherapy: Theory, Research and Practice, 83//(2), 179-192. https://doi.org/10.1348/147608309X471514
Snippe, E., Schroevers, M.J., Tovote, K., Sanderman, R., Emmelkamp, P.M.G., & Fleer, J. (2015). Patients' outcome expectations matter in psychological interventions for patients with diabetes and comorbid depressive symptoms. //Cognitive Therapy and Research, 39//(3), 307-317. https://doi.org/10.1007/s10608-014-9667-z
Weber, B., Sala, L., Gex-Fabry, M., Docteur, A., Gorwood, P., Cordera, P., ... & Mirabel-Sarron, C. (2017). Self-reported long-term benefits of mindfulness-based cognitive therapy in patients with bipolar disorder. //Journal of Alternative and Complementary Medicine, 23//(7), 534-540. https://doi.org/10.1089/acm.2016.0427
Omidi, A., Mohammadkhani, P., Mohammadi, A., & Zargar, F. (2013). Comparing mindfulness based cognitive therapy and traditional cognitive behavior therapy with treatments as usual on reduction of major depressive disorder symptoms. //Iranian Red Crescent Medical Journal, 15//(2), 142-146. https://doi.org/10.5812/ircmj.8018
Michalak, J., Troje, N.F., & Heidenreich, T. (2011). The effects of mindfulness-based cognitive therapy on depressive gait patterns. //Journal of Cognitive and Behavioral Psychotherapies, 11//(1), 13-27.https://www.biomotionlab.ca/Text/MichalakJCBP11.pdf
Barnhofer, T., Crane, C., Hargus, E., Amarasinghe, M., Winder, R., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy as a treatment for chronic depression: A preliminary study. //Behaviour Research and Therapy, 47//(5), 366-373. https://doi.org/10.1016/j.brat.2009.01.019
Bondolfi, G., Jermann, F., Van der Linden, M., Gex-Fabry, M., Bizzini, L., Rouget, B.W., ... & Bertschy, G. (2010). Depression relapse prophylaxis with mindfulness-based cognitive therapy: Replication and extension in the Swiss health care system. //Journal of Affective Disorders, 122//(3), 224-231. https://doi.org/10.1016/j.jad.2009.07.007
Evans, S., Ferrando, S., Findler, M., Stowell, C., Smart, C., & Haglin, D. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder. //Journal of Anxiety Disorders, 22//(4), 716-721. https://doi.org/10.1016/j.janxdis.2007.07.005
Hopkins, V., & Kuyken, W. (2012). Benefits and barriers to attending MBCT reunion meetings: An insider perspective. //Mindfulness, 3//(2), 139-150. https://doi.org/10.1007/s12671-012-0088-3
Britton, W.B., Haynes, P.L., Fridel, K.W., & Bootzin, R.R. (2012). Mindfulness-based cognitive therapy improves polysomnographic and subjective sleep profiles in antidepressant users with sleep complaints. //Psychotherapy and Psychosomatics, 81//(5), 296-304. https://doi.org/10.1159/000332755
Eisendrath, S.J., Gillung, E., Delucchi, K., Mathalon, D.H., Yang, T.T., Satre, D.D., ... & Wolkowitz, O.M. (2015). A preliminary study: Efficacy of mindfulness-based cognitive therapy versus sertraline as first-line treatments for major depressive disorder. //Mindfulness, 6//(3), 475-482. https://doi.org/10.1007/s12671-014-0280-8
Skovbjerg, S., Hauge, C.R., Rasmussen, A., Winkel, P., & Elberling, J. (2012). Mindfulness-based cognitive therapy to treat multiple chemical sensitivities: A randomized pilot trial. //Scandinavian Journal of Psychology, 53//(3), 233-238. https://doi.org/10.1111/j.1467-9450.2012.00950.x
Hertenstein, E., Rose, N., Voderholzer, U., Heidenreich, T., Nissen, C., Thiel, N., ... & Kulz, A.K. (2012). Mindfulness-based cognitive therapy in obsessive-compulsive disorder - a qualitative study on patients' experiences. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-185
Gex-Fabry, M., Jermann, F., Kosel, M., Rossier, M.F., Van der Linden, M., Bertschy, G., ... & Aubry, J.M. (2012). Salivary cortisol profiles in patients remitted from recurrent depression: One-year follow-up of a mindfulness-based cognitive therapy trial. //Journal of Psychiatric Research, 46//(1), 80-86. https://doi.org/10.1016/j.jpsychires.2011.09.011
Crane, R.S., Stanley, S., Rooney, M., Bartley, T., Cooper, L., & Mardula, J. (2015). Disciplined improvisation: Characteristics of inquiry in mindfulness-based teaching. //Mindfulness, 6//(5),1104–1114. https://doi.org/10.1007/s12671-014-0361-8
Gonzalez-Garcia, M., Ferrer, M.J., Borras, X., Munoz-Moreno, J.A., Miranda, C., Puig, J., ... & Fumaz, C.R. (2014). Effectiveness of Mindfulness-Based Cognitive Therapy on the Quality of Life, Emotional Status, and CD4 Cell Count of Patients Aging with HIV Infection. //AIDS and Behavior, 18//(4), 676-685. https://doi.org/10.1007/s10461-013-0612-z
Bailie, C., Kuyken, W., & Sonnenberg, S. (2012). The experiences of parents in mindfulness-based cognitive therapy. //Clinical Child Psychology and Psychiatry, 17//(1), 103-119. https://doi.org/10.1177/1359104510392296
Keune, P.M., Bostanov, V., Hautzinger, M., & Kotchoubey, B. (2011). Mindfulness-based cognitive therapy (MBCT), cognitive style, and the temporal dynamics of frontal EEG alpha asymmetry in recurrently depressed patients. //Biological Psychology, 88//(42769), 243-252. https://doi.org/10.1016/j.biopsycho.2011.08.008
Kim, B., Lee, S.H., Kim, Y.W., Choi, T.K., Yook, K., Suh, S.Y., ... & Yook, K.H. (2010). Effectiveness of a mindfulness-based cognitive therapy program as an adjunct to pharmacotherapy in patients with panic disorder. //Journal of Anxiety Disorders, 24//(6), 590-595. https://doi.org/10.1016/j.janxdis.2010.03.019
Eisendrath, S.J., Gillung, E.P., Delucchi, K.L., Chartier, M., Mathalon, D.H., Sullivan, J.C., ... & Feldman, M.D. (2014). Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (hep) for adults with treatment-resistant depression: A randomized control trial study protocol. //BMC Complementary and Alternative Medicine, 14//. https://doi.org/10.1186/1472-6882-14-95
Netterstrom, B., Friebel, L., & Ladegaard, Y. (2013). Effects of a multidisciplinary stress treatment programme on patient return to work rate and symptom reduction: Results from a randomised, wait-list controlled trial. //Psychotherapy and Psychosomatics, 82//(3), 177-186. https://doi.org/10.1159/000346369
Ree, M.J., & Craigie, M.A. (2007). Outcomes following mindfulness-based cognitive therapy in a heterogeneous sample of adult outpatients. //Behaviour Change, 24//(2), 70-86. https://doi.org/10.1375/bech.24.2.70
Azam, M.A., Katz, J., Mohabir, V., & Ritvo, P. (2016). Individuals with tension and migraine headaches exhibit increased heart rate variability during post-stress mindfulness meditation practice but a decrease during a post-stress control condition - a randomized, controlled experiment. //International Journal of Psychophysiology, 110//, 66-74. https://doi.org/10.1016/j.ijpsycho.2016.10.011
Miklowitz, D.J., Alatiq, Y., Goodwin, G.M., Geddes, J.R., Fennell, M.J.V., Dimidjian, S., ... & Williams, J.M.G. (2009). A pilot study of mindfulness-based cognitive therapy for bipolar disorder. //International Journal of Cognitive Therapy, 2//(4), 373-382. https://doi.org/10.1521/ijct.2009.2.4.373
Michalak, J., Schultze, M., Heidenreich, T., & Schramm, E. (2015). A randomized controlled trial on the efficacy of mindfulness-based cognitive therapy and a group version of cognitive behavioral analysis system of psychotherapy for chronically depressed patients. //Journal of Consulting and Clinical Psychology, 83//(5). https://doi.org/10.1037/ccp0000042
Ives-Deliperi, V.L., Howells, F., Stein, D.J., Meintjes, E.M., & Horn, N. (2013). The effects of mindfulness-based cognitive therapy in patients with bipolar disorder: A controlled functional MRI investigation. //Journal of Affective Disorders, 150//(3), 1152-1157. https://doi.org/10.1016/j.jad.2013.05.074
Azam, M.A., Katz, J., Fashler, S.R., Changoor, T., Azargive, S., & Ritvo, P. (2015). Heart rate variability is enhanced in controls but not maladaptive perfectionists during brief mindfulness meditation following stress-induction: A stratified-randomized trial. //International Journal of Psychophysiology, 98//(1), 27-34. https://doi.org/10.1016/j.ijpsycho.2015.06.005
Coelho, H.F., Canter, P.H., & Ernst, E. (2007). Mindfulness-based cognitive therapy: Evaluating current evidence and informing future research. //Journal of Consulting and Clinical Psychology, 75//(6), 1000-1005. https://doi.org/10.1037/0022-006X.75.6.1000
Gibbons, C., Felteau, M., Cullen, N., Marshall, S., Dubois, S., Maxwell, H., ... & Bedard, M. (2014). Training clinicians to deliver a mindfulness intervention. //Mindfulness, 5//(3), 232-237. https://doi.org/10.1007/s12671-012-0170-x
Perich, T., Manicavasagar, V., Mitchell, P.B., & Ball, J.R. (2013). The association between meditation practice and treatment outcome in mindfulness-based cognitive therapy for bipolar disorder. //Behaviour Research and Therapy, 51//(7), 338-343. https://doi.org/10.1016/j.brat.2013.03.006
Michalak, J., Burg, J., & Heidenreich, T. (2012). Don't forget your body: Mindfulness, embodiment, and the treatment of depression. //Mindfulness, 3//(3), 190-199. https://doi.org/10.1007/s12671-012-0107-4
Leonaite, A., & Vainoras, A. (2010). Heart rate variability during two relaxation techniques in post-MI men. //Elektronika Ir Elektrotechnika,5//(5), 107-110. https://www.heartmath.org/assets/uploads/2015/01/hrv-during-two-relaxation-techniques-in-post-mi-men.pdf
Perich, T., Manicavasagar, V., Mitchell, P.B., Ball, J.R., & Hadzi-Pavlovic, D. (2013). A randomized controlled trial of mindfulness-based cognitive therapy for bipolar disorder. //Acta Psychiatrica Scandinavica, 127//(5), 333-343. https://doi.org/10.1111/acps.12033
De Raedt, R., Baert, S., Demeyer, I., Goeleven, E., Raes, A., Visser, A., ... & Speckens, A. (2012). Changes in attentional processing of emotional information following mindfulness-based cognitive therapy in people with a history of depression: Towards an open attention for all emotional experiences. //Cognitive Therapy and Research, 36//(6), 612-620. https://doi.org/10.1007/s10608-011-9411-x
Lewis, G.F., Hourani, L., Tueller, S., Kizakevich, P., Bryant, S., Weimer, B., ... & Strange, L. (2015). Relaxation training assisted by heart rate variability biofeedback: Implication for a military predeployment stress inoculation protocol. //Psychophysiology, 52//(9). https://doi.org/10.1111/psyp.12455
Bakker, J.M., Lieverse, R., Menne-Lothmann, C., Viechtbauer, W., Pishva, E., Kenis, G., ... & Wichers, M. (2014). Therapygenetics in mindfulness-based cognitive therapy: Do genes have an impact on therapy-induced change in real-life positive affective experiences?. //Translational Psychiatry, 4//e384. https://doi.org/10.1038/tp.2014.23
Krygier, J.R., Heathers, J.A.J., Shahrestani, S., Abbott, M., Gross, J.J., & Kemp, A.H. (2013). Mindfulness meditation, well-being, and heart rate variability: A preliminary investigation into the impact of intensive Vipassana meditation. //International Journal of Psychophysiology, 89//(3), 305-313. https://doi.org/10.1016/j.ijpsycho.2013.06.017
Marchand, W.R. (2012). Mindfulness-based stress reduction, mindfulness-based cognitive therapy, and zen meditation for depression, anxiety, pain, and psychological distress. //Journal of Psychiatric Practice, 18//(4), 233-252. https://doi.org/10.1097/01.pra.0000416014.53215.86
Sorensen, P., Birket-Smith, M., Wattar, U., Buemann, I., & Salkovskis, P. (2011). A randomized clinical trial of cognitive behavioural therapy versus short-term psychodynamic psychotherapy versus no intervention for patients with hypochondriasis. //Psychological Medicine, 41//(2), 431-441. https://doi.org/10.1017/S0033291710000292
Helmes, E., & Ward, B.G. (2017). Mindfulness-based cognitive therapy for anxiety symptoms in older adults in residential care. //Aging & Mental Health, 21//(3), 272-278. https://doi.org/10.1080/13607863.2015.1111862
Marx, R., Strauss, C., & Williamson, C. (2015). Mindfulness Apprenticeship: A new Model of NHS-Based MBCT Teacher Training. //Mindfulness, 6//(2), 253-263. https://doi.org/10.1007/s12671-013-0254-2
Ruths, F.A., de Zoysa, N., Frearson, S.J., Hutton, J., Williams, J.M.G., & Walsh, J. (2013). Mindfulness-based cognitive therapy for mental health professionals - a pilot study. //Mindfulness, 4//(4), 289-295. https://doi.org/10.1007/s12671-012-0127-0
Gotink, R.A., Chu, P., Busschbach, J.J.V., Benson, H., Fricchione, G.L., & Hunink, M.G.M. (2015). Standardised Mindfulness-Based Interventions in Healthcare: An Overview of Systematic Reviews and Meta-Analyses of RCTs. //PLOS ONE, 10//(4). https://doi.org/10.1371/journal.pone.0124344
Kangas, M. (2014). The evolution of mindfulness-based cognitive therapy. //Australian Psychologist, 49//(5), 280-282. https://doi.org/10.1111/ap.12072
Hawley, L.L., Schwartz, D., Bieling, P.J., Irving, J., Corcoran, K., Farb, N.A.S., ... & Segal, Z.V. (2014). Mindfulness practice, rumination and clinical outcome in mindfulness-based treatment. //Cognitive Therapy and Research, 38//(1), 1-9. https://doi.org/10.1007/s10608-013-9586-4
Wong, S.Y.S., Mak, W.W.S., Cheung, E.Y.L., Ling, C.Y.M., Lui, W.W.S., Tang, W.K., ... & Ma, H.S.W. (2011). A randomized, controlled clinical trial: The effect of mindfulness-based cognitive therapy on generalized anxiety disorder among Chinese community patients: Protocol for a randomized trial. //BMC Psychiatry, 11//. https://doi.org/10.1186/1471-244X-11-187
Manicavasgar, V., Parker, G., & Perich, T. (2011). Mindfulness-based cognitive therapy vs cognitive behaviour therapy as a treatment for non-melancholic depression. //Journal of Affective Disorders, 130//(42737), 138-144. https://doi.org/10.1016/j.jad.2010.09.027
Kulz, A.K., Landmann, S., Cludius, B., Hottenrott, B., Rose, N., Heidenreich, T., ... & Moritz, S. (2014). Mindfulness-based cognitive therapy in obsessive-compulsive disorder: Protocol of a randomized controlled trial. //BMC Psychiatry, 14//. https://doi.org/10.1186/s12888-014-0314-8
Braeken, M.A.K.A., Jones, A., Otte, R.A., Nyklicek, I., & Van den Bergh, B.R.H. (2017). Potential benefits of mindfulness during pregnancy on maternal autonomic nervous system function and infant development. //Psychophysiology, 54//(2), 279-288. https://doi.org/10.1111/psyp.12782
Craigie, M.A., Rees, C.S., Marsh, A., & Nathan, P. (2008). Mindfulness-based cognitive therapy for generalized anxiety disorder: A preliminary evaluation. //Behavioural and Cognitive Psychotherapy, 36//(5), 553-568. https://doi.org/10.1017/S135246580800458X
Williams, J.M.G., Russell, I., & Russell, D. (2008). Mindfulness-based cognitive therapy: Further issues in current evidence and future research. //Journal of Consulting and Clinical Psychology, 76//(3), 524-529. https://doi.org/10.1037/0022-006X.76.3.524
Herdt, J., Buhrlen, B., Bader, K., & Hanny, C. (2012). Participation in an adapted version of MBCT in psychiatric care. //Mindfulness, 3//(3), 218-226. https://doi.org/10.1007/s12671-012-0120-7
Day, M.A., & Thorn, B.E. (2016). The mediating role of pain acceptance during mindfulness-based cognitive therapy for headache. //Complementary Therapies in Medicine, 25//, 51-54. https://doi.org/10.1016/j.ctim.2016.01.002
Schoenberg, P.L.A., & Speckens, A.E.M. (2015). Multi-dimensional modulations of alpha and gamma cortical dynamics following mindfulness-based cognitive therapy in major depressive disorder. //Cognitive Neurodynamics, 9//(1), 13-29. https://doi.org/10.1007/s11571-014-9308-y
Forkmann, T., Wichers, M., Geschwind, N., Peeters, F., van Os, J., Mainz, V., ... & Collip, D. (2014). Effects of mindfulness-based cognitive therapy on self-reported suicidal ideation: Results from a randomised controlled trial in patients with residual depressive symptoms. //Comprehensive Psychiatry, 55//(8), 1883-1890. https://doi.org/10.1016/j.comppsych.2014.08.043
Crane, C., Barnhofer, T., Duggan, D.S., Hepburn, S., Fennell, M.V., & Williams, J.M.G. (2008). Mindfulness-based cognitive therapy and self-discrepancy in recovered depressed patients with a history of depression and suicidality. //Cognitive Therapy and Research, 32//(6), 775-787. https://doi.org/10.1007/s10608-008-9193-y
Fleer, J., Schroevers, M., Panjer, V., Geerts, E., & Meesters, Y. (2014). Mindfulness-based cognitive therapy for seasonal affective disorder: A pilot study. //Journal of Affective Disorders, 168//, 205-209. https://doi.org/10.1016/j.jad.2014.07.003
Dimidjian, S., & Goodman, S.H. (2014). Preferences and attitudes toward approaches to depression relapse/recurrence prevention among pregnant women. //Behaviour Research and Therapy, 54//, 7-11. https://doi.org/10.1016/j.brat.2013.11.008
Sachse, S., Keville, S., & Feigenbaum, J. (2011). A feasibility study of mindfulness-based cognitive therapy for individuals with borderline personality disorder. //Psychology and Psychotherapy: Theory, Research and Practice, 84//(2), 184-200. https://doi.org/10.1348/147608310X516387
Spinhoven, P., Huijbers, M.J., Ormel, J., & Speckens, A.E.M. (2017). Improvement of mindfulness skills during mindfulness-based cognitive therapy predicts long-term reductions of neuroticism in persons with recurrent depression in remission. //Journal of Affective Disorders, 213//, 112-117. https://doi.org/10.1016/j.jad.2017.02.011
Sguazzin, C.M.G., Key, B.L., Rowa, K., Bieling, P.J., & McCabe, R.E. (2017). Mindfulness-based cognitive therapy for residual symptoms in obsessive-compulsive disorder: A qualitative analysis. //Mindfulness, 8//(1), 190-203. https://doi.org/10.1007/s12671-016-0592-y
Barnhofer, T., Duggan, D., Crane, C., Hepburn, S., Fennell, M.J.V., & Williams, J.M.G. (2007). Effects of meditation on frontal alpha-asymmetry in previously suicidal individuals. //NeuroReport, 18//(7), 709-712. https://doi.org/10.1097/WNR.0b013e3280d943cd
Howells, F.M., Ives-Deliperi, V.L., Horn, N.R., & Stein, D.J. (2012). Mindfulness based cognitive therapy improves frontal control in bipolar disorder: A pilot EEG study. //BMC Psychiatry, 12//. https://doi.org/10.1186/1471-244X-12-15
Rimes, K.A., & Wingrove, J. (2011). Pilot study of mindfulness-based cognitive therapy for trainee clinical psychologists. //Behavioural and Cognitive Psychotherapy, 39//(2), 235-241. https://doi.org/10.1017/S1352465810000731
Parra-Delgado, M., & Latorre-Postigo, J.M. (2013). Effectiveness of mindfulness-based cognitive therapy in the treatment of fibromyalgia: A randomised trial. //Cognitive Therapy and Research, 37//(5), 1015-1026. https://doi.org/10.1007/s10608-013-9538-z
van Aalderen, J.R., Donders, A.R.T., Giommi, F., Spinhoven, P., Barendregt, H.P., & Speckens, A.E.M. (2012). The efficacy of mindfulness-based cognitive therapy in recurrent depressed patients with and without a current depressive episode: A randomized controlled trial. //Psychological Medicine, 42//(5), 989-1001. https://doi.org/10.1017/S0033291711002054
van Vugt, M.K., Hitchcock, P., Shahar, B., & Britton, W. (2012). The effects of mindfulness-based cognitive therapy on affective memory recall dynamics in depression: a mechanistic model of rumination. //Frontiers in Human Neuroscience, 6//, 257. https://doi.org/10.3389/fnhum.2012.00257
Nyklicek, I., van Son, J., Pop, V.J., Denollet, J., & Pouwer, F. (2016). Does Mindfulness-Based Cognitive Therapy benefit all people with diabetes and comorbid emotional complaints equally? Moderators in the DiaMind trial. //Journal of Psychosomatic Research, 91//, 40-47. https://doi.org/10.1016/j.jpsychores.2016.10.009
Williams, J.M.G., Duggan, D.S., Crane, C., & Fennell, M.J.V. (2006). Mindfulness-based cognitive therapy for prevention of recurrence of suicadal behavior. //Journal of Clinical Psychology, 62//(2), 201-210. https://doi.org/10.1002/jclp.20223
Masrour, M.J., Aerabsheybani, H., Ramezani, N., & Aerabsheybani, K. (2017). The effectiveness of mindfulness-based cognitive therapy (mbct) in increasing infertile couples' resilience and reducing anxiety, stress, and depression. //Neuroquantology, 15//(3), 94-100. https://doi.org/10.14704/nq.2017.15.3.1088
Hepburn, S.R., Crane, C., Barnhofer, T., Duggan, D.S., Fennell, M.J.V., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy may reduce thought suppression in previously suicidal participants: Findings from a preliminary study. //British Journal of Clinical Psychology, 48//, 209-215. https://doi.org/10.1348/014466509X414970
Johannsen, M., O'Toole, M.S., O'Connor, M., Jensen, A.B., & Zachariae, R. (2017). Clinical and psychological moderators of the effect of mindfulness-based cognitive therapy on persistent pain in women treated for primary breast cancer - explorative analyses from a randomized controlled trial. //Acta Oncologica, 56//(2), 321-328. https://doi.org/10.1080/0284186X.2016.1268713
Heeren, A., Van Broeck, N., & Philippot, P. (2009). The effects of mindfulness on executive processes and autobiographical memory specificity. //Behaviour Research and Therapy, 47//(5), 403-409. https://doi.org/10.1016/j.brat.2009.01.017
Tovote, K.A., Fleer, J., Snippe, E., Peeters, A.C.T.M., Emmelkamp, P.M.G., Sanderman, R., ... & Schroevers, M.J. (2014). Individual mindfulness-based cognitive therapy and cognitive behavior therapy for treating depressive symptoms in patients with diabetes: Results of a randomized controlled trial. //Diabetes Care, 37//(9), 2427-2434. https://doi.org/10.2337/dc13-2918
Ames, C.S., Richardson, J., Payne, S., Smith, P., & Leigh, E. (2014). Innovations in practice: Mindfulness-based cognitive therapy for depression in adolescents. //Child and Adolescent Mental Health, 19//(1), 74-78. https://doi.org/10.1111/camh.12034
Finucane, A., & Mercer, S.W. (2006). An exploratory mixed methods study of the acceptability and effectiveness of mindfulness -based cognitive therapy for patients with active depression and anxiety in primary care. //BMC Psychiatry, 6//. https://doi.org/10.1186/1471-244X-6-14
Day, M.A., Thorn, B.E., & Rubin, N.J. (2014). Mindfulness-based cognitive therapy for the treatment of headache pain: A mixed-methods analysis comparing treatment responders and treatment non-responders. //Complementary Therapies in Medicine, 22//(2), 278-285. https://doi.org/10.1016/j.ctim.2013.12.018
Alvarez-Ramirez, J., Rodriguez, E., & Echeverria, J.C. (2017). Fractal scaling behavior of heart rate variability in response to meditation techniques. //Chaos Solitons & Fractals, 99//, 57-62. https://doi.org/10.1016/j.chaos.2017.03.026
Crane, C., Crane, R.S., Eames, C., Fennell, M.J.V., Silverton, S., Williams, J.M.G., ... & Barnhofer, T. (2014). The effects of amount of home meditation practice in mindfulness based cognitive therapy on hazard of relapse to depression in the staying well after depression trial. //Behaviour Research and Therapy, 63//, 17-24. https://doi.org/10.1016/j.brat.2014.08.015
Geschwind, N., Peeters, F., Huibers, M., van Os, J., & Wichers, M. (2012). Efficacy of mindfulness-based cognitive therapy in relation to prior history of depression: Randomised controlled trial. //British Journal of Psychiatry, 201//(4), 320-325. https://doi.org/10.1192/bjp.bp.111.104851
Green, S.M., & Bieling, P.J. (2012). Expanding the scope of mindfulness-based cognitive therapy: Evidence for effectiveness in a heterogeneous psychiatric sample. //Cognitive and Behavioral Practice, 19//(1), 174-180. https://doi.org/10.1016/j.cbpra.2011.02.006
Day, M.A., Halpin, J., & Thorn, B.E. (2016). An empirical examination of the role of common factors of therapy during a mindfulness-based cognitive therapy intervention for headache pain. //Clinical Journal of Pain, 32//(5), 420-427. https://doi.org/10.1097/AJP.0000000000000277
de Zoysa, N., Ruths, F.A., Walsh, J., & Hutton, J. (2014). Mindfulness-based cognitive therapy for mental health professionals: A long-term quantitative follow-up study. //Mindfulness, 5//(3), 268-275. https://doi.org/10.1007/s12671-012-0176-4
Tomfohr-Madsen, L.M., Campbell, T.S., Giesbrecht, G.F., Letourneau, N.L., Carlson, L.E., Madsen, J.W., ... & Dimidjian, S. (2016). Mindfulness-based cognitive therapy for psychological distress in pregnancy: Study protocol for a randomized controlled trial. //Trials, 17//. https://doi.org/10.1186/s13063-016-1601-0
Gadeikis, D., Bos, N., Schweizer, S., Murphy, F., & Dunn, B. (2017). Engaging in an experiential processing mode increases positive emotional response during recall of pleasant autobiographical memories. //Behaviour Research and Therapy, 92//, 68-76. https://doi.org/10.1016/j.brat.2017.02.005
[img[tps73.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Borders, A., & Lu, S.E. (2017). The bidirectional associations between state anger and rumination and the role of trait mindfulness. //Aggressive Behavior, 43//(4), 342-351. https://doi.org/10.1002/ab.21693
Takebe, M., Takahashi, F., & Sato, H. (2016). Anger rumination as a risk factor for trait anger and anger-in: A longitudinal study. //Personality and Individual Differences, 101//, 451-455. https://doi.org/10.1016/j.paid.2016.06.038
Harding, K.A., & Mezulis, A. (2017). Is rumination a risk and a protective factor?. //Europe’s Journal of Psychology, 13//(1), 28-46. https://doi.org/10.5964/ejop.v13i1.1279
Eisenlohr-Moul, T.A., Peters, J.R., Pond, R.S., & DeWall, C.N. (2016). Both trait and state mindfulness predict lower aggressiveness via anger rumination: A multilevel mediation analysis. //Mindfulness, 7//(3), 713-726. https://doi.org/10.1007/s12671-016-0508-x
Peled, M., & Moretti, M.M. (2010). Ruminating on rumination: Are rumination on anger and sadness differentially related to aggression and depressed mood?. //Journal of Psychopathology and Behavioral Assessment, 32//(1), 108-117. https://doi.org/10.1007/s10862-009-9136-2
Di Schiena, R., Luminet, O., Chang, B., & Philippot, P. (2013). Why are depressive individuals indecisive? Different modes of rumination account for indecision in non-clinical depression. //Cognitive Therapy and Research, 37//(4), 713-724. https://doi.org/10.1007/s10608-012-9517-9
Alleva, J., Roelofs, J., Voncken, M., Meevissen, Y., & Alberts, H. (2014). On the relation between mindfulness and depressive symptoms: Rumination as a possible mediator. //Mindfulness, 5//(1), 72-79. https://doi.org/10.1007/s12671-012-0153-y
Fresnics, A., & Borders, A. (2017). Angry rumination mediates the unique associations between self-compassion and anger and aggression. //Mindfulness, 8//(3), 554-564. https://doi.org/10.1007/s12671-016-0629-2
Kashdan, T.B., Goodman, F.R., Mallard, T.T., & DeWall, C.N. (2016). What triggers anger in everyday life? Links to the intensity, control, and regulation of these emotions, and personality traits. //Journal of Personality, 84//(6), 737-749. https://doi.org/10.1111/jopy.12214
Peters, J.R., Smart, L.M., Eisenlohr-Moul, T.A., Geiger, P.J., Smith, G.T., & Baer, R.A. (2015). Anger rumination as a mediator of the relationship between mindfulness and aggression: The utility of a multidimensional mindfulness model. //Journal of Clinical Psychology, 71//(9), 871-884. https://doi.org/10.1002/jclp.22189
Sanders, W.A., & Lam, D.H. (2010). Ruminative and mindful self-focused processing modes and their impact on problem solving in dysphoric individuals. //Behaviour Research and Therapy, 48//(8), 747-753. https://doi.org/10.1016/j.brat.2010.04.007
Hilt, L.M., & Pollak, S.D. (2012). Getting out of rumination: Comparison of three brief interventions in a sample of youth. //Journal of Abnormal Child Psychology, 40//(7), 1157-1165. https://doi.org/10.1007/s10802-012-9638-3
Michl, L.C., McLaughlin, K.A., Shepherd, K., & Nolen-Hoeksema, S. (2013). Rumination as a mechanism linking stressful life events to symptoms of depression and anxiety: Longitudinal evidence in early adolescents and adults. //Journal of Abnormal Psychology, 122//(2), 339-352. https://doi.org/10.1037/a0031994
Peters, J.R., Eisenlohr-Moul, T.A., Upton, B.T., Talavera, N.A., Folsom, J.J., & Baer, R.A. (2017). Characteristics of repetitive thought associated with borderline personality features: A multimodal investigation of ruminative content and style. //Journal of Psychopathology and Behavioral Assessment, 39//(3), 456-466. https://doi.org/10.1007/s10862-017-9594-x
Lee, A.K.W., Gansler, D.A., Zhang, N.Y., Jerram, M.W., King, J.A., & Fulwiler, C. (2017). Relationship of mindful awareness to neural processing of angry faces and impact of mindfulness training: A pilot investigation. //Psychiatry Research: Neuroimaging, 264//, 22-28. https://doi.org/10.1016/j.pscychresns.2017.03.016
Smets, J., Luyckx, K., Wessel, I., & Raes, F. (2012). Depressed mood mediates the relationship between rumination and intrusions. //Australian Journal of Psychology, 64//(4), 209-216. https://doi.org/10.1111/j.1742-9536.2012.00056.x
Selby, E.A., Fehling, K.B., Panza, E.A., & Kranzler, A. (2016). Rumination, mindfulness, and borderline personality disorder symptoms. //Mindfulness, 7//(1), 228-235. https://doi.org/10.1007/s12671-015-0432-5
Kramer, U., Pascual-Leone, A., Berthoud, L., De Roten, Y., Marquet, P., Kolly, S., ... & Page, D. (2016). Assertive anger mediates effects of dialectical behaviour-informed skills training for borderline personality disorder: A randomized controlled trial. //Clinical Psychology & Psychotherapy, 23//(3), 189-202. https://doi.org/10.1002/cpp.1956
Kuehner, C., Huffziger, S., & Liebsch, K. (2009). Rumination, distraction and mindful self-focus: Effects on mood, dysfunctional attitudes and cortisol stress response. //Psychological Medicine, 39//(2), 219-228. https://doi.org/10.1017/S0033291708003553
Sotelo, J.M., & Babcock, J.C. (2013). BIS/BAS variables as moderators of the rumination-intimate partner violence link. //Journal of Family Violence, 28//(3), 233-242. https://doi.org/10.1007/s10896-013-9500-6
Borders, A., Earleywine, M., & Jajodia, A. (2010). Could mindfulness decrease anger, hostility, and aggression by decreasing rumination?. //Aggressive Behavior, 36//(1), 28-44. https://doi.org/10.1002/ab.20327
Kearns, N.P., Shawyer, F., Brooker, J.E., Graham, A.L., Enticott, J.C., Martin, P.R., ... & Meadows, G.N. (2016). Does rumination mediate the relationship between mindfulness and depressive relapse?. //Psychology and Psychotherapy: Theory, Research and Practice, 89//(1), 33-49. https://doi.org/10.1111/papt.12064
Huffziger, S., Ebner-Priemer, U., Eisenbach, C., Koudela, S., Reinhard, I., Zamoscik, V., ... & Kuehner, C. (2013). Induced ruminative and mindful attention in everyday life: An experimental ambulatory assessment study. //Journal of Behavior Therapy and Experimental Psychiatry, 44//(3), 322-328. https://doi.org/10.1016/j.jbtep.2013.01.007
Fracalanza, K., Koerner, N., Deschenes, S.S., & Dugas, M.J. (2014). Intolerance of uncertainty mediates the relation between generalized anxiety disorder symptoms and anger. //Cognitive Behaviour Therapy, 43//(2), 122-132. https://doi.org/10.1080/16506073.2014.888754
Giorgio, J.M., Sanflippo, J., Kleiman, E., Reilly, D., Bender, R.E., Wagner, C.A., ... & Alloy, L.B. (2010). An experiential avoidance conceptualization of depressive rumination: Three tests of the model. //Behaviour Research and Therapy, 48//(10), 1021-1031. https://doi.org/10.1016/j.brat.2010.07.004
Marks, A.D.G., Sobanski, D.J., & Hine, D.W. (2010). Do dispositional rumination and/or mindfulness moderate the relationship between life hassles and psychological dysfunction in adolescents?. //Australian and New Zealand Journal of Psychiatry, 44//(9), 831-838. https://doi.org/10.3109/00048674.2010.487478
Sauer, S.E., & Baer, R.A. (2012). Ruminative and mindful self-focused attention in borderline personality disorder. //Personality Disorders-theory Research and Treatment, 3//(4), 433-441. https://doi.org/10.1037/a0025465
Lackner, R.J., & Fresco, D.M. (2016). Interaction effect of brooding rumination and interoceptive awareness on depression and anxiety symptoms. //Behaviour Research and Therapy, 85//, 43-52. https://doi.org/10.1016/j.brat.2016.08.007
Broderick, P. (2005). Mindfulness and coping with dysphoric mood: Contrasts with rumination and distraction. //Cognitive Therapy and Research, 29//(5), 501-510. https://doi.org/10.1007/s10608-005-3888-0
van Vugt, M.K., Hitchcock, P., Shahar, B., & Britton, W. (2012). The effects of mindfulness-based cognitive therapy on affective memory recall dynamics in depression: A mechanistic model of rumination. //Frontiers in Human Neuroscience, 6//, 257. https://doi.org/10.3389/fnhum.2012.00257
Fennell, A.B., Benau, E.M., & Atchley, R.A. (2016). A single session of meditation reduces of physiological indices of anger in both experienced and novice meditators. //Consciousness and Cognition, 40//, 54-66. https://doi.org/10.1016/j.concog.2015.12.010
Borders, A., & Giancola, P.R. (2011). Trait and state hostile rumination facilitate alcohol-related aggression. //Journal of Studies on Alcohol and Drugs, 72//(4), 545-554. https://doi.org/10.15288/jsad.2011.72.545
Carney, C.E., Harris, A.L., Moss, T.G., & Edinger, J.D. (2010). Distinguishing rumination from worry in clinical insomnia. //Behaviour Research and Therapy, 48//(6), 540-546. https://doi.org/10.1016/j.brat.2010.03.004
Kaiser, R.H., Andrews-Hanna, J.R., Metcalf, C.A., & Dimidjian, S. (2015). Dwell or decenter? Rumination and decentering predict working memory updating after interpersonal criticism. //Cognitive Therapy and Research, 39//(6), 744-753. https://doi.org/10.1007/s10608-015-9697-1
Wolfradt, U., Oemler, M., Braun, K., & Klement, A. (2014). Health anxiety and habitual rumination: The mediating effect of serenity. //Personality and Individual Differences, 71//, 130-134. https://doi.org/10.1016/j.paid.2014.07.030
Villa, C.D., & Hilt, L.M. (2014). Brief instruction in mindfulness and relaxation reduce rumination differently for men and women. //International Journal of Cognitive Therapy, 7//(4), 320-333. https://doi.org/10.1521/ijct_2014_07_02
Deyo, M., Wilson, K.A., Ong, J., & Koopman, C. (2009). Mindfulness and rumination: Does mindfulness training lead to reductions in the ruminative thinking associated with depression?. //Explore: The Journal of Science and Healing, 5//(5), 265-271. https://doi.org/10.1016/j.explore.2009.06.005
Michalak, J., Holz, A., & Teismann, T. (2011). Rumination as a predictor of relapse in mindfulness-based cognitive therapy for depression. //Psychology and Psychotherapy: Theory, Research and Practice, 84//(2), 230-236. https://doi.org/10.1348/147608310X520166
Cowdrey, F.A., Stewart, A., Roberts, J., & Park, R.J. (2013). Rumination and modes of processing around meal times in women with anorexia nervosa: Qualitative and quantitative results from a pilot study. //European Eating Disorders Review, 21//(5), 411-419. https://doi.org/10.1002/erv.2236
Speckens, A.E.M., Ehlers, A., Hackmann, A., Ruths, F.A., & Clark, D.M. (2007). Intrusive memories and rumination in patients with post-traumatic stress disorder: A phenomenological comparison. //Memory, 15//(3), 249-257. https://doi.org/10.1080/09658210701256449
Cowdrey, F.A., & Park, R.J. (2012). The role of experiential avoidance, rumination and mindfulness in eating disorders. //Eating Behaviors, 13//(2), 100-105. https://doi.org/10.1016/j.eatbeh.2012.01.001
Wright, S., Day, A., & Howells, K. (2009). Mindfulness and the treatment of anger problems. //Aggression and Violent Behavior, 14//(5), 396-401. https://doi.org/10.1016/j.avb.2009.06.008
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Winton, A.S.W., Singh, J., & Wahler, R.G. (2014). Shenpa and compassionate abiding: Mindfulness-based practices for anger and aggression by individuals with schizophrenia. //International Journal of Mental Health and Addiction, 12//(2), 138-152. https://doi.org/10.1007/s11469-013-9469-7
Eifert, G.H., & Forsyth, J.P. (2011). The application of acceptance and commitment therapy to problem anger. //Cognitive and Behavioral Practice, 18//(2), 241-250. https://doi.org/10.1016/j.cbpra.2010.04.004
Shorey, R.C., Seavey, A.E., Quinn, E., & Cornelius, T.L. (2014). Partner-specific anger management as a mediator of the relation between mindfulness and female perpetrated dating violence. //Psychology of Violence, 4//(1), 51-64. https://doi.org/10.1037/a0033658
Svendsen, J.L., Kvernenes, K.V., Wiker, A.S., & Dundas, I. (2017). Mechanisms of mindfulness: Rumination and self-compassion. //Nordic Psychology, 69//(2), 71-82. https://doi.org/10.1080/19012276.2016.1171730
Shirey, M.R. (2007). An evidence-based solution for minimizing stress and anger in nursing students. //Journal of Nursing Education, 46//(12), 568-571.
Gilbert, K., & Gruber, J. (2014). Emotion regulation of goals in bipolar disorder and major depression: A comparison of rumination and mindfulness. //Cognitive Therapy and Research, 38//(4), 375-388. https://doi.org/10.1007/s10608-014-9602-3
Josefsson, T., Ivarsson, A., Lindwall, M., Gustafsson, H., Stenling, A., Boroy, J., ... & Falkevik, E. (2017). Mindfulness mechanisms in sports: Mediating effects of rumination and emotion regulation on sport-specific coping. //Mindfulness, 8//(5), 1354-1363. https://doi.org/10.1007/s12671-017-0711-4
Jain, S., Shapiro, S.L., Swanick, S., Roesch, S.C., Mills, P.J., Bell, I., ... & Schwartz, G.E.R. (2007). A randomized controlled trial of mindfulness meditation versus relaxation training: Effects on distress, positive states of mind, rumination, and distraction. //Annals of Behavioral Medicine, 33//(1), 11-21. https://doi.org/10.1207/s15324796abm3301_2
McKie, A., Askew, K., & Dudley, R. (2017). An experimental investigation into the role of ruminative and mindful self-focus in non-clinical paranoia. //Journal of Behavior Therapy and Experimental Psychiatry, 54//, 170-177. https://doi.org/10.1016/j.jbtep.2016.07.014
Wang, S.B., Lydecker, J.A., & Grilo, C.M. (2017). Rumination in patients with binge-eating disorder and obesity: Associations with eating-disorder psychopathology and weight-bias internalization. //European Eating Disorders Review, 25//(2), 98-103. https://doi.org/10.1002/erv.2499
Keune, P.M., Bostanov, V., Kotchoubey, B., & Hautzinger, M. (2012). Mindfulness versus rumination and behavioral inhibition: A perspective from research on frontal brain asymmetry. //Personality and Individual Differences, 53//(3), 323-328. https://doi.org/10.1016/j.paid.2012.03.034
Shao, D., Gao, W., & Cao, F.L. (2016). Brief psychological intervention in patients with cervical cancer: A randomized controlled trial. //Health Psychology, 35//(12), 1383-1391. https://doi.org/10.1037/hea0000407
Petrocchi, N., & Ottaviani, C. (2016). Mindfulness facets distinctively predict depressive symptoms after two years: The mediating role of rumination. //Personality and Individual Differences, 93//, 92-96. https://doi.org/10.1016/j.paid.2015.08.017
Manicavasagar, V., Perich, T., & Parker, G. (2012). Cognitive predictors of change in cognitive behaviour therapy and mindfulness-based cognitive therapy for depression. //Behavioural and Cognitive Psychotherapy, 40//(2), 227-232. https://doi.org/10.1017/S1352465811000634
Huffziger, S., & Kuehner, C. (2009). Rumination, distraction, and mindful self-focus in depressed patients. //Behaviour Research and Therapy, 47//(3), 224-230. https://doi.org/10.1016/j.brat.2008.12.005
Kingston, T., Dooley, B., Bates, A., Lawlor, E., & Malone, K. (2007). Mindfulness-based cognitive therapy for residual depressive symptoms. //Psychology and Psychotherapy: Theory, Research and Practice, 80//, 193-203. https://doi.org/10.1348/147608306X116016
Schuver, K.J., & Lewis, B.A. (2016). Mindfulness-based yoga intervention for women with depression. //Complementary Therapies in Medicine, 26//, 85-91.
Amutio, A., Franco, C., Perez-Fuentes, M.D., Gazquez, J.J., & Mercader, I. (2015). Mindfulness training for reducing anger, anxiety, and depression in fibromyalgia patients. //Frontiers in Psychology, 5//, 1572. https://doi.org/10.3389/fpsyg.2014.01572
Campbell, T.S., Labelle, L.E., Bacon, S.L., Faris, P., & Carlson, L.E. (2012). Impact of mindfulness-based stress reduction (MBSR) on attention, rumination and resting blood pressure in women with cancer: A waitlist-controlled study. //Journal of Behavioral Medicine, 35//(3), 262-271. https://doi.org/10.1007/s10865-011-9357-1
Flett, A.L., Haghbin, M., & Pychyl, T.A. (2016). Procrastination and depression from a cognitive perspective: An exploration of the associations among procrastinatory automatic thoughts, rumination, and mindfulness. //Journal of Rational-emotive and Cognitive-behavior Therapy, 34//(3), 169-186. https://doi.org/10.1007/s10942-016-0235-1
Jonkman, L.M., Markus, C.R., Franklin, M.S., & van Dalfsen, J.H. (2017). Mind wandering during attention performance: Effects of ADHD-inattention symptomatology, negative mood, ruminative response style and working memory capacity. //PLOS ONE, 12//(7), e0181213. https://doi.org/10.1371/journal.pone.0181213
Greenberg, J., Reiner, K., & Meiran, N. (2013). Off with the old: Mindfulness practice improves backward inhibition. //Frontiers in Psychology, 3//, 618. https://doi.org/10.3389/fpsyg.2012.00618
Hilt, L.M., McLaughlin, K.A., & Nolen-Hoeksema, S. (2010). Examination of the response styles theory in a community sample of young adolescents. //Journal of Abnormal Child Psychology, 38//(4), 545-556. https://doi.org/10.1007/s10802-009-9384-3
Ciesla, J.A., Reilly, L.C., Dickson, K.S., Emanuel, A.S., & Updegraff, J.A. (2012). Dispositional mindfulness moderates the effects of stress among adolescents: Rumination as a mediator. //Journal of Clinical Child and Adolescent Psychology, 41//(6), 760-770. https://doi.org/10.1080/15374416.2012.698724
Momeni, J., Omidi, A., Raygan, F., & Akbari, H. (2016). The effects of mindfulness-based stress reduction on cardiac patients' blood pressure, perceived stress, and anger: A single-blind randomized controlled trial. //Journal of the American Society of Hypertension, 10//(10), 763-771. https://doi.org/10.1016/j.jash.2016.07.007
Desrosiers, A., Vine, V., Klemanski, D.H., & Nolen-Hoeksema, S. (2013). Mindfulness and emotion regulation in depression and anxiety: Common and distinct mechanisms of action. //Depression and Anxiety, 30//(7), 654-661. https://doi.org/10.1002/da.22124
Liverant, G.I., Kamholz, B.W., Sloan, D.M., & Brown, T.A. (2011). Rumination in clinical depression: A type of emotional suppression?. //Cognitive Therapy and Research, 35//(3), 253-265. https://doi.org/10.1007/s10608-010-9304-4
Royuela-Colomer, E., & Calvete, E. (2016). Mindfulness facets and depression in adolescents: Rumination as a mediator. //Mindfulness, 7//(5), 1092-1102. https://doi.org/10.1007/s12671-016-0547-3
Keng, S.L., Smoski, M.J., & Robins, C.J. (2016). Effects of mindful acceptance and reappraisal training on maladaptive beliefs about rumination. //Mindfulness, 7//(2), 493-503. https://doi.org/10.1007/s12671-015-0480-x
Borders, A., & Liang, C.T.H. (2011). Rumination partially mediates the associations between perceived ethnic discrimination, emotional distress, and aggression. //Cultural Diversity & Ethnic Minority Psychology, 17//(2), 125-133. https://doi.org/10.1037/a0023357
Tabadkan, B.B.Z.R., & Poor, M.M. (2016). Relationship between meta-cognitive beliefs and mindfulness with ruminative thoughts in students. //International Journal of Mental Health and Addiction, 14//(6), 1052-1056. https://doi.org/10.1007/s11469-016-9688-9
Lamis, D.A., & Dvorak, R.D. (2014). Mindfulness, nonattachment, and suicide rumination in college students: The mediating role of depressive symptoms. //Mindfulness, 5//(5), 487-496. https://doi.org/10.1007/s12671-013-0203-0
Huhtala, M., Kinnunen, U., & Feldt, T. (2017). School psychologists' ethical strain and rumination: Individual profiles and their associations with weekly well-being. //Psychology in the Schools, 54//(2), 127-141. https://doi.org/10.1002/pits.21992
Naumann, E., Tuschen-Caffier, B., Voderholzer, U., Schafer, J., & Svaldi, J. (2016). Effects of emotional acceptance and rumination on media-induced body dissatisfaction in anorexia and bulimia nervosa. //Journal of Psychiatric Research, 82//, 119-125. https://doi.org/10.1016/j.jpsychires.2016.07.021
Ortner, C.N.M., & Zelazo, P.D. (2014). Responsiveness to a mindfulness manipulation predicts affect regarding an anger-provoking situation. //Canadian Journal of Behavioural Science-revue Canadienne Des Sciences Du Comportement, 46//(2), 117-124. https://doi.org/10.1037/a0029664
Goldwin, M., & Behar, E. (2012). Concreteness of idiographic periods of worry and depressive rumination. //Cognitive Therapy and Research, 36//(6), 840-846. https://doi.org/10.1007/s10608-011-9428-1
Baranik, L.E., Wang, M., Gong, Y.P., & Shi, J.Q. (2017). Customer mistreatment, employee health, and job performance: Cognitive rumination and social sharing as mediating mechanisms. //Journal of Management, 43//(4), 1261-1282. https://doi.org/10.1177/0149206314550995
Chesin, M.S., Benjamin-Phillips, C.A., Keilp, J., Fertuck, E.A., Brodsky, B.S., & Stanley, B. (2016). Improvements in executive attention, rumination, cognitive reactivity, and mindfulness among high-suicide risk patients participating in adjunct mindfulness-based cognitive therapy: Preliminary findings. //Journal of Alternative and Complementary Medicine, 22//(8), 642-649. https://doi.org/10.1089/acm.2015.0351
Schut, D.M., & Boelen, P.A. (2017). The relative importance of rumination, experiential avoidance and mindfulness as predictors of depressive symptoms. //Journal of Contextual Behavioral Science, 6//(1), 8-12. https://doi.org/10.1016/j.jcbs.2016.11.008
Reid, R.C., Temko, J., Moghaddam, J.F., & Fong, T.W. (2014). Shame, rumination, and self-compassion in men assessed for hypersexual disorder. //Journal of Psychiatric Practice, 20//(4), 260-268. https://doi.org/10.1097/01.pra.0000452562.98286.c5
Krieger, T., Altenstein, D., Baettig, I., Doerig, N., & Holtforth, M.G. (2013). Self-compassion in depression: Associations with depressive symptoms, rumination, and avoidance in depressed outpatients. //Behavior Therapy, 44//(3), 501-513.
https://doi.org/10.1016/j.beth.2013.04.004
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Singh, A.N.A., & Singh, A.D.A. (2011). Peer with intellectual disabilities as a mindfulness-based anger and aggression management therapist. //Research in Developmental Disabilities, 32//(6), 2690-2696. https://doi.org/10.1016/j.ridd.2011.06.003
Paul, N.A., Stanton, S.J., Greeson, J.M., Smoski, M.J., & Wang, L.H. (2013). Psychological and neural mechanisms of trait mindfulness in reducing depression vulnerability. //Social Cognitive and Affective Neuroscience, 8//(1), 56-64. https://doi.org/10.1093/scan/nss070
Rude, S.S., Maestas, K.L., & Neff, K. (2007). Paying attention to distress: What's wrong with rumination?. //Cognition & Emotion, 21//(4), 843-864. https://doi.org/10.1080/02699930601056732
Basharpoor, S., Shafiei, M., & Daneshvar, S. (2015). The comparison of experimental avoidance, mindfulness and rumination in trauma-exposed individuals with and without posttraumatic stress disorder (PTSD) in an Iranian sample. //Archives of Psychiatric Nursing, 29//(5), 279-283. https://doi.org/10.1016/j.apnu.2015.05.004
Bormann, J.E., & Carrico, A.W. (2009). Increases in positive reappraisal coping during a group-based mantram intervention mediate sustained reductions in anger in HIV-positive persons. //International Journal of Behavioral Medicine, 16//(1), 74-80. https://doi.org/10.1007/s12529-008-9007-3
Shahar, B., Britton, W.B., Sbarra, D.A., Figueredo, A.J., & Bootzin, R.R. (2010). Mechanisms of change in mindfulness-based cognitive therapy for depression: Preliminary evidence from a randomized controlled trial. //International Journal of Cognitive Therapy, 3//(4), 402-418. https://doi.org/10.1521/ijct.2010.3.4.402
Desrosiers, A., Vine, V., Curtiss, J., & Klemanski, D.H. (2014). Observing nonreactively: A conditional process model linking mindfulness facets, cognitive emotion regulation strategies, and depression and anxiety symptoms. //Journal of Affective Disorders, 165//, 31-37. https://doi.org/10.1016/j.jad.2014.04.024
Kaiseler, M., Poolton, J.M., Backhouse, S.H., & Stanger, N. (2017). The relationship between mindfulness and life stress in student-athletes: The mediating role of coping effectiveness and decision rumination. //Sport Psychologist, 31//(3), 288-298. https://doi.org/10.1123/tsp.2016-0083
Lo, C.S.L., Ho, S.M.Y., Yu, N.K.K., & Siu, B.P.Y. (2014). Decentering mediates the effect of ruminative and experiential self-focus on negative thinking in depression. //Cognitive Therapy and Research, 38//(4), 389-396. https://doi.org/10.1007/s10608-014-9603-2
Nickerson, A., & Hinton, D.E. (2011). Anger regulation in traumatized Cambodian refugees: The perspectives of Buddhist monks. //Culture Medicine and Psychiatry, 35//(3), 396-416. https://doi.org/10.1007/s11013-011-9218-y
Robins, C.J., Keng, S.L., Ekblad, A.G., & Brantley, J.G. (2012). Effects of mindfulness-based stress reduction on emotional experience and expression: A randomized controlled trial. //Journal of Clinical Psychology, 68//(1), 117-131. https://doi.org/10.1002/jclp.20857
Ietsugu, T., Crane, C., Hackmann, A., Brennan, K., Gross, M., Crane, R.S., ... & Barnhofer, T. (2015). Gradually getting better: Trajectories of change in rumination and anxious worry in mindfulness-based cognitive therapy for prevention of relapse to recurrent depression. //Mindfulness, 6//(5), 1088-1094. https://doi.org/10.1007/s12671-014-0358-3
Odou, N., & Brinker, J. (2015). Self-compassion, a better alternative to rumination than distraction as a response to negative mood. //Journal of Positive Psychology, 10//(5), 447-457. https://doi.org/10.1080/17439760.2014.967800
Wongtongkam, N., Ward, P.R., Day, A., & Winefield, A.H. (2014). A trial of mindfulness meditation to reduce anger and violence in Thai youth. //International Journal of Mental Health and Addiction, 12//(2), 169-180. https://doi.org/10.1007/s11469-013-9463-0
Bergman, A.L., Christopher, M.S., & Bowen, S. (2016). Changes in facets of mindfulness predict stress and anger outcomes for police officers. //Mindfulness, 7//(4), 851-858. https://doi.org/10.1007/s12671-016-0522-z
[img[tps74.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Akin, A., & Eroglu, Y. (2013). Self-compassion and relational-interdependent self-construal. //Studia Psychologica, 55//(2), 111-121. https://doi.org/10.21909/sp.2013.02.629
Beaumont, E., Rayner, G., Durkin, M., & Bowling, G. (2017). The effects of compassionate mind training on student psychotherapists. //Journal of Mental Health Training Education and Practice, 12//(5), 300-312. https://doi.org/10.1108/JMHTEP-06-2016-0030
Neff, K.D. (2016). The self-compassion scale is a valid and theoretically coherent measure of self-compassion. //Mindfulness, 7//(1), 264-274. https://doi.org/10.1007/s12671-015-0479-3
Robinson, K.J., Mayer, S., Allen, A.B., Terry, M., Chilton, A., & Leary, M.R. (2016). Resisting self-compassion: Why are some people opposed to being kind to themselves?. //Self and Identity, 15//(5), 505-524. https://doi.org/10.1080/15298868.2016.1160952
Akin, A. (2008). Self-compassion and achievement goals: A structural equation modeling approach. //Eurasian Journal of Educational Research, 8//(31), 1-15.
Akin, A., & Akin, U. (2014). Self-compassion as a predictor of defeat in Turkish university students. //Voprosy Psikhologii, //(5), 79-86.
Mantzios, M., & Wilson, J.C. (2014). Making concrete construals mindful: A novel approach for developing mindfulness and self-compassion to assist weight loss. //Psychology & Health, 29//(4), 422-441. https://doi.org/10.1080/08870446.2013.863883
Duarte, J., Pinto-Gouveia, J., & Cruz, B. (2016). Relationships between nurses' empathy, self-compassion and dimensions of professional quality of life: A cross-sectional study. //International Journal of Nursing Studies, 60//, 1-11. https://doi.org/10.1016/j.ijnurstu.2016.02.015
Scarlet, J., Altmeyer, N., Knier, S., & Harpin, R.E. (2017). The effects of compassion cultivation training (CCT) on healthcare workers. //Clinical Psychologist, 21//(2), 116-124. https://doi.org/10.1111/cp.12130
Fernando, A.T., Skinner, K., & Consedine, N.S. (2017). Increasing compassion in medical decision-making: Can a brief mindfulness intervention help?. //Mindfulness, 8//(2), 276-285. https://doi.org/10.1007/s12671-016-0598-5
MacBeth, A., & Gumley, A. (2012). Exploring compassion: A meta-analysis of the association between self-compassion and psychopathology. //Clinical Psychology Review, 32//(6), 545-552. https://doi.org/10.1016/j.cpr.2012.06.003
Svendsen, J.L., Osnes, B., Binder, P.E., Dundas, I., Visted, E., Nordby, H., ... & Sorensen, L. (2016). Trait self-compassion reflects emotional flexibility through an association with high vagally mediated heart rate variability. //Mindfulness, 7//(5), 1103-1113. https://doi.org/10.1007/s12671-016-0549-1
Kirby, J.N., Tellegen, C.L., & Steindl, S.R. (2017). A meta-analysis of compassion-based interventions: Current state of knowledge and future directions. //Behavior Therapy, 48//(6), 778-792. https://doi.org/10.1016/j.beth.2017.06.003
Lopez, A., Sanderman, R., & Schroevers, M.J. (2016). Mindfulness and self-compassion as unique and common predictors of affect in the general population. //Mindfulness, 7//(6), 1289-1296. https://doi.org/10.1007/s12671-016-0568-y
Garcia-Campayo, J., Navarro-Gil, M., Andres, E., Montero-Marin, J., Lopez-Artal, L., & Demarzo, M.M.P. (2014). Validation of the Spanish versions of the long (26 items) and short (12 items) forms of the self-compassion scale (SCS). //Health and Quality of Life Outcomes, 12//, 4. https://doi.org/10.1186/1477-7525-12-4
Krieger, T., Altenstein, D., Baettig, I., Doerig, N., & Holtforth, M.G. (2013). Self-compassion in depression: Associations with depressive symptoms, rumination, and avoidance in depressed outpatients. //Behavior Therapy, 44//(3), 501-513. https://doi.org/10.1016/j.beth.2013.04.004
Perez-Bret, E., Altisent, R., & Rocafort, J. (2016). Definition of compassion in healthcare: A systematic literature review. //International Journal of Palliative Nursing, 22//(12), 599-606. https://doi.org/10.12968/ijpn.2016.22.12.599
Muris, P., & Petrocchi, N. (2017). Protection or vulnerability? A meta-analysis of the relations between the positive and negative components of self-compassion and psychopathology. //Clinical Psychology & Psychotherapy, 24//(2), 373-383. https://doi.org/10.1002/cpp.2005
Gu, J., Cavanagh, K., Baer, R., & Strauss, C. (2017). An empirical examination of the factor structure of compassion. //PLOS ONE, 12//(2), e0172471. https://doi.org/10.1371/journal.pone.0172471
Thieleman, K., & Cacciatore, J. (2014). Witness to suffering: Mindfulness and compassion fatigue among traumatic bereavement volunteers and professionals. //Social Work, 59//(1), 34-41. https://doi.org/10.1093/sw/swt044
McPherson, S., Hiskey, S., & Alderson, Z. (2016). Distress in working on dementia wards - a threat to compassionate care: A grounded theory study. //International Journal of Nursing Studies, 53//, 95-104. https://doi.org/10.1016/j.ijnurstu.2015.08.013
Hall, C.W., Row, K.A., Wuensch, K.L., & Godley, K.R. (2013). The role of self-compassion in physical and psychological well-being. //Journal of Psychology, 147//(4), 311-323. https://doi.org/10.1080/00223980.2012.693138
Sousa, R., Castilho, P., Vieira, C., Vagos, P., & Rijo, D. (2017). Dimensionality and gender-based measurement invariance of the compassion scale in a community sample. //Personality and Individual Differences, 117//, 182-187. https://doi.org/10.1016/j.paid.2017.06.003
Tirch, D.D. (2010). Mindfulness as a context for the cultivation of compassion. //International Journal of Cognitive Therapy, 3//(2), 113-123. https://doi.org/10.1521/ijct.2010.3.2.113
Werner, K.H., Jazaieri, H., Goldin, P.R., Ziv, M., Heimberg, R.G., & Gross, J.J. (2012). Self-compassion and social anxiety disorder. //Anxiety Stress and Coping, 25//(5), 543-558. https://doi.org/10.1080/10615806.2011.608842
Pfattheicher, S., Geiger, M., Hartung, J., Weiss, S., & Schindler, S. (2017). Old wine in new bottles? The case of self-compassion and neuroticism. //European Journal of Personality, 31//(2), 160-169. https://doi.org/10.1002/per.2097
Cameron, C.D., & Payne, B.K. (2011). Escaping affect: How motivated emotion regulation creates insensitivity to mass suffering. //Journal of Personality and Social Psychology, 100//(1), 1-15. https://doi.org/10.1037/a0021643
Sydenham, M., Beardwood, J., & Rimes, K.A. (2017). Beliefs about emotions, depression, anxiety and fatigue: A mediational analysis. //Behavioural and Cognitive Psychotherapy, 45//(1), 73-78. https://doi.org/10.1017/S1352465816000199
Dundas, I., Svendsen, J.L., Wiker, A.S., Granli, K.V., & Schanche, E. (2016). Self-compassion and depressive symptoms in a Norwegian student sample. //Nordic Psychology, 68//(1), 58-72. https://doi.org/10.1080/19012276.2015.1071203
Yip, S.Y.C., Mak, W.W.S., Chio, F.H.N., & Law, R.W. (2017). The mediating role of self-compassion between mindfulness and compassion fatigue among therapists in Hong Kong. //Mindfulness, 8//(2), 460-470. https://doi.org/10.1007/s12671-016-0618-5
Jazaieri, H., McGonigal, K., Jinpa, T., Doty, J.R., Gross, J.J., & Goldin, P.R. (2014). A randomized controlled trial of compassion cultivation training: Effects on mindfulness, affect, and emotion regulation. //Motivation and Emotion, 38//(1), 23-35. https://doi.org/10.1007/s11031-013-9368-z
Danucalov, M.A.D., Kozasa, E.H., Afonso, R.F., Galduroz, J.C.F., & Leite, J.R. (2017). Yoga and compassion meditation program improve quality of life and self-compassion in family caregivers of Alzheimer's disease patients: A randomized controlled trial. //Geriatrics & Gerontology International, 17//(1), 85-91. https://doi.org/10.1111/ggi.12675
Lopez, A., Sanderman, R., Smink, A., Zhang, Y., van Sonderen, E., Ranchor, A., ... & Schroevers, M.J. (2015). A reconsideration of the self-compassion scale's total score: Self-compassion versus self-criticism. //PLOS ONE, 10//(7), e0132940. https://doi.org/10.1371/journal.pone.0132940
Petrocchi, N., Ottaviani, C., & Couyoumdjian, A. (2014). Dimensionality of self-compassion: Translation and construct validation of the self-compassion scale in an Italian sample. //Journal of Mental Health, 23//(2), 72-77. https://doi.org/10.3109/09638237.2013.841869
Brooks, M., Kay-Lambkin, F., Bowman, J., & Childs, S. (2012). Self-compassion amongst clients with problematic alcohol use. //Mindfulness, 3//(4), 308-317. https://doi.org/10.1007/s12671-012-0106-5
Korner, A., Coroiu, A., Copeland, L., Gomez-Garibello, C., Albani, C., Zenger, M., ... & Brahler, E. (2015). The role of self-compassion in buffering symptoms of depression in the general population. //PLOS ONE, 10//(10), e0136598. https://doi.org/10.1371/journal.pone.0136598
Atkins, P.W.B., & Parker, S.K. (2012). Understanding individual compassion in organizations: The role of appraisals and psychological flexibility. //Academy of Management Review, 37//(4), 524-546. https://doi.org/10.5465/amr.2010.0490
Barnard, L.K., & Curry, J.F. (2011). Self-compassion: Conceptualizations, correlates, & interventions. //Review of General Psychology, 15//(4), 289-303. https://doi.org/10.1037/a0025754
Hickey, T., Nelson, B., & Meadows, G. (2017). Application of a mindfulness and compassion-based approach to the at-risk mental state. //Clinical Psychologist, 21//(2), 104-115. https://doi.org/10.1111/cp.12132
Zeng, X.L., Wei, J., Oei, T.P.S., & Liu, X.P. (2016). The self-compassion scale is not validated in a Buddhist sample. //Journal of Religion & Health, 55//(6), 1996-2009. https://doi.org/10.1007/s10943-016-0205-z
Dahm, K.A., Meyer, E.C., Neff, K.D., Kimbrel, N.A., Gulliver, S.B., & Morissette, S.B. (2015). Mindfulness, self-compassion, posttraumatic stress disorder symptoms, and functional disability in U.S. Iraq and Afghanistan war veterans. //Journal of Traumatic Stress, 28//(5), 460-464. https://doi.org/10.1002/jts.22045
Suyi, Y., Meredith, P., & Khan, A. (2017). Effectiveness of mindfulness intervention in reducing stress and burnout for mental health professionals in Singapore. //Explore: The Journal of Science and Healing, 13//(5), 319-326. https://doi.org/10.1016/j.explore.2017.06.001
Akin, U., & Akin, A. (2015). The predictive role of self-compassion on self-handicapping in turkish university students. //Ceskoslovenska Psychologie, 59//(1), 33-43.
Akin, A., & Akin, U. (2015). Self-compassion as a predictor of social safeness in Turkish university students. //Revista Latinoamericana De Psicologia, 47//(1), 43-49. https://doi.org/10.1016/S0120-0534(15)30005-4
Bell, T., Dixon, A., & Kolts, R. (2017). Developing a compassionate internal supervisor: Compassion-focused therapy for trainee therapists. //Clinical Psychology & Psychotherapy, 24//(3), 632-648. https://doi.org/10.1002/cpp.2031
Castilho, P., Pinto-Gouveia, J., & Duarte, J. (2015). Evaluating the multifactor structure of the long and short versions of the self-compassion scale in a clinical sample. //Journal of Clinical Psychology, 71//(9), 856-870. https://doi.org/10.1002/jclp.22187
Baer, R.A., Lykins, E.L.B., & Peters, J.R. (2012). Mindfulness and self-compassion as predictors of psychological wellbeing in long-term meditators and matched nonmeditators. //Journal of Positive Psychology, 7//(3), 230-238. https://doi.org/10.1080/17439760.2012.674548
Podina, I., Jucan, A., & David, D. (2015). Self-compassion: A buffer in the pathway from maladaptive beliefs to depression: An exploratory study. //Journal of Evidence-based Psychotherapies, 15//(1), 97-109.
Duarte, J., & Pinto-Gouveia, J. (2017). The role of psychological factors in oncology nurses' burnout and compassion fatigue symptoms. //European Journal of Oncology Nursing, 28//, 114-121. https://doi.org/10.1016/j.ejon.2017.04.002
Williams, M.J., Dalgleish, T., Karl, A., & Kuyken, W. (2014). Examining the factor structures of the five facet mindfulness questionnaire and the self-compassion scale. //Psychological Assessment, 26//(2), 407-418. https://doi.org/10.1037/a0035566
Bluth, K., & Eisenlohr-Moul, T.A. (2017). Response to a mindful self-compassion intervention in teens: A within-person association of mindfulness, self-compassion, and emotional well-being outcomes. //Journal of Adolescence, 57//, 108-118. https://doi.org/10.1016/j.adolescence.2017.04.001
Marshall, E.J., & Brockman, R.N. (2016). The relationships between psychological flexibility, self-compassion, and emotional well-being. //Journal of Cognitive Psychotherapy, 30//(1), 60-72. https://doi.org/10.1891/0889-8391.30.1.60
Campos, D., Cebolla, A., Quero, S., Breton-Lopez, J., Botella, C., Soler, J., ... & Banos, R.M. (2016). Meditation and happiness: Mindfulness and self-compassion may mediate the meditation-happiness relationship. //Personality and Individual Differences, 93//, 80-85. https://doi.org/10.1016/j.paid.2015.08.040
Kemper, K.J., Gascon, G., & Mahan, J.D. (2015). Two new scales for integrative medical education and research: Confidence in providing calm, compassionate care scale (CCCS) and self-efficacy in providing non-drug therapies (SEND) to relieve common symptoms. //European Journal of Integrative Medicine, 7//(4), 389-395. https://doi.org/10.1016/j.eujim.2014.10.010
L'Estrange, K., Timulak, L., Kinsella, L., & D'Alton, P. (2016). Experiences of changes in self-compassion following mindfulness-based intervention with a cancer population. //Mindfulness, 7//(3), 734-744. https://doi.org/10.1007/s12671-016-0513-0
Kemper, K.J., Mo, X.K., & Khayat, R. (2015). Are mindfulness and self-compassion associated with sleep and resilience in health professionals?. //Journal of Alternative and Complementary Medicine, 21//(8), 496-503. https://doi.org/10.1089/acm.2014.0281
Yarnell, L.M., Stafford, R.E., Neff, K.D., Reilly, E.D., Knox, M.C., & Mullarkey, M. (2015). Meta-analysis of gender differences in self-compassion. //Self and Identity, 14//(5), 499-520. https://doi.org/10.1080/15298868.2015.1029966
Finlay-Jones, A.L., Rees, C.S., & Kane, R.T. (2015). Self-compassion, emotion regulation and stress among Australian psychologists: Testing an emotion regulation model of self-compassion using structural equation modeling. //PLOS ONE, 10//(7), e0133481. https://doi.org/10.1371/journal.pone.0133481
Bergen-Cico, D., & Cheon, S. (2014). The mediating effects of mindfulness and self-compassion on trait anxiety. //Mindfulness, 5//(5), 505-519. https://doi.org/10.1007/s12671-013-0205-y
Finlay-Jones, A., Kane, R., & Rees, C. (2017). Self-compassion online: A pilot study of an internet-based self-compassion cultivation program for psychology trainees. //Journal of Clinical Psychology, 73//(7), 797-816. https://doi.org/10.1002/jclp.22375
Cooper, R., & Frearson, J. (2017). Adapting compassion focused therapy for an adult with a learning disability—A case study. //British Journal of Learning Disabilities, 45//(2), 142-150. https://doi.org/10.1111/bld.12187
Kirby, J.N., Doty, J.R., Petrocchi, N., & Gilbert, P. (2017). The current and future role of heart rate variability for assessing and training compassion. //Frontiers in Public Health, 5//, 40. https://doi.org/10.3389/fpubh.2017.00040
Shin, H.S., Black, D.S., Shonkoff, E.T., Riggs, N.R., & Pentz, M.A. (2016). Associations among dispositional mindfulness, self-compassion, and executive function proficiency in early adolescents. //Mindfulness, 7//(6), 1377-1384. https://doi.org/10.1007/s12671-016-0579-8
Schuling, R., Huijbers, M.J., van Ravesteijn, H., Donders, R., Kuyken, W., & Speckens, A.E.M. (2016). A parallel-group, randomized controlled trial into the effectiveness of mindfulness-based compassionate living (MBCL) compared to treatment-as-usual in recurrent depression: Trial design and protocol. //Contemporary Clinical Trials, 50//, 77-83. https://doi.org/10.1016/j.cct.2016.07.014
Hicdurmaz, D., & Aydin, A. (2017). The relationship between nursing students' self-compassion and multidimensional perfectionism levels and the factors that influence them. //Journal of Psychiatric Nursing, 8//(2), 86-94. https://doi.org/10.14744/phd.2017.40469
Ashar, Y.K., Andrews-Hanna, J.R., Yarkoni, T., Sills, J., Halifax, J., Dimidjian, S., ... & Wager, T.D. (2016). Effects of compassion meditation on a psychological model of charitable donation. //Emotion, 16//(5), 691-705. https://doi.org/10.1037/emo0000119
Laidlaw, A., Hunter, J., Turvey, T., Stillman, M., Warren, R., & Ozakinci, G. (2014). The development and evaluation of a flexible training course "understanding and developing compassion". //Journal of Evidence-based Psychotherapies, 14//(2), 149-157.
Karris, M., & Caldwell, B.E. (2015). Integrating emotionally focused therapy, self-compassion, and compassion-focused therapy to assist shame-prone couples who have experienced trauma. //Family Journal, 23//(4), 346-357. https://doi.org/10.1177/1066480715601676
Zoghbi-Manrique-de-Lara, P., & Guerra-Baez, R. (2016). Exploring the influence of ethical climate on employee compassion in the hospitality industry. //Journal of Business Ethics, 133//(3), 605-617. https://doi.org/10.1007/s10551-014-2415-1
Satici, S.A., Uysal, R., & Akin, A. (2015). Early life experiences and self-compassion: A structural equation modelling. //Estudios De Psicologia, 36//(2), 343-365. https://doi.org/10.1080/02109395.2015.1026123
Pace, T.W.W., Negi, L.T., Sivilli, T.I., Issa, M.J., Cole, S.P., Adame, D.D., ... & Raison, C.L. (2010). Innate immune, neuroendocrine and behavioral responses to psychosocial stress do not predict subsequent compassion meditation practice time. //Psychoneuroendocrinology, 35//(2), 310-315. https://doi.org/10.1016/j.psyneuen.2009.06.008
Duarte, J., & Pinto-Gouveia, J. (2017). Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. //Journal of Contextual Behavioral Science, 6//(2), 125-133. https://doi.org/10.1016/j.jcbs.2017.03.002
Waldron, A.L., & Ebbeck, V. (2015). The relationship of mindfulness and self-compassion to desired wildland fire leadership. //International Journal of Wildland Fire, 24//(2), 201-211. https://doi.org/10.1071/WF13212
Engstrom, M., & Soderfeldt, B. (2010). Brain activation during compassion meditation: A case study. //Journal of Alternative and Complementary Medicine, 16//(5), 597-599. https://doi.org/10.1089/acm.2009.0309
Wong, C.C.Y., & Mak, W.W.S. (2016). Writing can heal: Effects of self-compassion writing among Hong Kong Chinese college students. //Asian American Journal of Psychology, 7//(1), 74-82. https://doi.org/10.1037/aap0000041
Bluth, K., & Blanton, P.W. (2015). The influence of self-compassion on emotional well-being among early and older adolescent males and females. //Journal of Positive Psychology, 10//(3), 219-230. https://doi.org/10.1080/17439760.2014.936967
Denckla, C.A., Consedine, N.S., & Bornstein, R.F. (2017). Self-compassion mediates the link between dependency and depressive symptomatology in college students. //Self and Identity, 16//(4), 373-383. https://doi.org/10.1080/15298868.2016.1264464
Mosewich, A.D., Crocker, P.R.E., Kowalski, K.C., & DeLongis, A. (2013). Applying self-compassion in sport: An intervention with women athletes. //Journal of Sport & Exercise Psychology, 35//(5), 514-524. https://doi.org/10.1123/jsep.35.5.514
Przezdziecki, A., Sherman, K.A., Baillie, A., Taylor, A., Foley, E., & Stalgis-Bilinski, K. (2013). My changed body: Breast cancer, body image, distress and self-compassion. //Psycho-Oncology, 22//(8), 1872-1879. https://doi.org/10.1002/pon.3230
Benzo, R.P., Kirsch, J.L., & Nelson, C. (2017). Compassion, mindfulness, and the happiness of healthcare workers. //Explore: The Journal of Science and Healing, 13//(3), 201-206. https://doi.org/10.1016/j.explore.2017.02.001
Bluth, K., Campo, R.A., Futch, W.S., & Gaylord, S.A. (2017). Age and gender differences in the associations of self-compassion and emotional well-being in a large adolescent sample. //Journal of Youth and Adolescence, 46//(4), 840-853. https://doi.org/10.1007/s10964-016-0567-2
Neff, K.D., & Vonk, R. (2009). Self-compassion versus global self-esteem: Two different ways of relating to oneself. //Journal of Personality, 77//(1), 23-50. https://doi.org/10.1111/j.1467-6494.2008.00537.x
Mantzios, M., & Wilson, J.C. (2015). Exploring mindfulness and mindfulness with self-compassion-centered interventions to assist weight loss: Theoretical considerations and preliminary results of a randomized pilot study. //Mindfulness, 6//(4), 824-835. https://doi.org/10.1007/s12671-014-0325-z
Raab, K., Sogge, K., Parker, N., & Flament, M.F. (2015). Mindfulness-based stress reduction and self-compassion among mental healthcare professionals: A pilot study. //Mental Health Religion & Culture, 18//(6), 503-512. https://doi.org/10.1080/13674676.2015.1081588
Greenberg, M.T., & Turksma, C. (2015). Understanding and watering the seeds of compassion. //Research in Human Development, 12//(3-4), 280-287. https://doi.org/10.1080/15427609.2015.1068060
Drury, V., Craigie, M., Francis, K., Aoun, S., & Hegney, D.G. (2014). Compassion satisfaction, compassion fatigue, anxiety, depression and stress in registered nurses in Australia: Phase 2 results. //Journal of Nursing Management, 22//(4), 519-531. https://doi.org/10.1111/jonm.12168
Gregory, A. (2015). L yoga and mindfulness program: The effects on compassion fatigue and compassion satisfaction in social workers. //Journal of Religion and Spirituality in Social Work, 34//(4), 372-393. https://doi.org/10.1080/15426432.2015.1080604
Crews, D., & Crawford, M. (2015). Exploring the role of being out on a queer person's self-compassion. //Journal of Gay & Lesbian Social Services, 27//(2), 172-186. https://doi.org/10.1080/10538720.2015.1022272
Morley, R.M., Terranova, V.A., Cunningham, S.N., & Kraft, G. (2016). Self-compassion and predictors of criminality. //Journal of Aggression Maltreatment & Trauma, 25//(5). https://doi.org/10.1080/10926771.2015.1107170
Koszycki, D., Thake, J., Mavounza, C., Daoust, J.P., Taljaard, M., & Bradwejn, J. (2016). Preliminary investigation of a mindfulness-based intervention for social anxiety disorder that integrates compassion meditation and mindful exposure. //Journal of Alternative and Complementary Medicine, 22//(5), 363-374. https://doi.org/10.1089/acm.2015.0108
Hayes, J.A., Lockard, A.J., Janis, R.A., & Locke, B.D. (2016). Construct validity of the self-compassion scale-short form among psychotherapy clients. //Counselling Psychology Quarterly, 29//(4), 405-422. https://doi.org/10.1080/09515070.2016.1138397
Akin, A., & Akin, U. (2015). Examining the predictive role of self-compassion on flourishing in Turkish university students. //Annals of Psychology, 31//(3), 802-807. https://doi.org/10.6018/analesps.31.3.192041
Bluth, K., Roberson, P.N.E., & Gaylord, S.A. (2015). A pilot study of a mindfulness intervention for adolescents and the potential role of self-compassion in reducing stress. //Explore: The Journal of Science and Healing, 11//(4), 292-295. https://doi.org/10.1016/j.explore.2015.04.005
Sirois, F.M. (2014). Procrastination and stress: Exploring the role of self-compassion. //Self and Identity, 13//(2), 128-145. https://doi.org/10.1080/15298868.2013.763404
Welp, L.R., & Brown, C.M. (2014). Self-compassion, empathy, and helping intentions. //Journal of Positive Psychology, 9//(1), 54-65. https://doi.org/10.1080/17439760.2013.831465
Phillips, W.J., & Ferguson, S.J. (2013). Self-compassion: A resource for positive aging. //Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68//(4), 529-539. https://doi.org/10.1093/geronb/gbs091
Kirby, J.N., & Laczko, D. (2017). A randomized micro-trial of a loving-kindness meditation for young adults living at home with their parents. //Journal of Child and Family Studies, 26//(7), 1888-1899. https://doi.org/10.1007/s10826-017-0692-x
Pinto-Gouveia, J., Carvalho, S.A., Palmeira, L., Castilho, P., Duarte, C., Ferreira, C., ... & Costa, J. (2017). BEfree: A new psychological program for binge eating that integrates psychoeducation, mindfulness, and compassion. //Clinical Psychology & Psychotherapy, 24//(5), 1090-1098. https://doi.org/10.1002/cpp.2072
Hindman, R.K., Glass, C.R., Arnkoff, D.B., & Maron, D.D. (2015). A comparison of formal and informal mindfulness programs for stress reduction in university students. //Mindfulness, 6//(4), 873-884. https://doi.org/10.1007/s12671-014-0331-1
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
McArthur, M.L., Andrews, J.R., Brand, C., & Hazel, S.J. (2017). The prevalence of compassion fatigue among veterinary students in Australia and the associated psychological factors. //Journal of Veterinary Medical Education, 44//(1), 9-21. https://doi.org/10.3138/jvme.0116-016R3
Jazaieri, H., Lee, I.A., McGonigal, K., Jinpa, T., Doty, J.R., Gross, J.J., ... & Goldin, P.R. (2016). A wandering mind is a less caring mind: Daily experience sampling during compassion meditation training. //Journal of Positive Psychology, 11//(1), 37-50. https://doi.org/10.1080/17439760.2015.1025418
Feldman, C., & Kuyken, W. (2011). Compassion in the landscape of suffering. //Contemporary Buddhism, 12//(1), 143-155. https://doi.org/10.1080/14639947.2011.564831
Akin, U., & Akin, A. (2015). Examining the predictive role of self-compassion on sense of community in Turkish adolescents. //Social Indicators Research, 123//(1), 29-38. https://doi.org/10.1007/s11205-014-0724-5
Beshai, S., McAlpine, L., Weare, K., & Kuyken, W. (2016). A non-randomised feasibility trial assessing the efficacy of a mindfulness-based intervention for teachers to reduce stress and improve well-being. //Mindfulness, 7//(1), 198-208. https://doi.org/10.1007/s12671-015-0436-1
Yang, Y., Zhang, M.Y., & Kou, Y. (2016). Self-compassion and life satisfaction: The mediating role of hope. //Personality and Individual Differences, 98//, 91-95. https://doi.org/10.1016/j.paid.2016.03.086
Smeets, E., Neff, K., Alberts, H., & Peters, M. (2014). Meeting suffering with kindness: Effects of a brief self-compassion intervention for female college students. //Journal of Clinical Psychology, 70//(9), 794-807. https://doi.org/10.1002/jclp.22076
Neff, K.D., & Germer, C.K. (2013). A pilot study and randomized controlled trial of the mindful self-compassion program. //Journal of Clinical Psychology, 69//(1), 28-44. https://doi.org/10.1002/jclp.21923
Pace, T.W.W., Negi, L.T., Adame, D.D., Cole, S.P., Sivilli, T.I., Brown, T.D., ... & Raison, C.L. (2009). Effect of compassion meditation on neuroendocrine, innate immune and behavioral responses to psychosocial stress. //Psychoneuroendocrinology, 34//(1), 87-98. https://doi.org/10.1016/j.psyneuen.2008.08.011
Gilbert, P. (2014). The origins and nature of compassion focused therapy. //British Journal of Clinical Psychology, 53//(1), 6-41. https://doi.org/10.1111/bjc.12043
Hoffart, A., Oktedalen, T., & Langkaas, T.F. (2015). Self-compassion influences PTSD symptoms in the process of change in trauma-focused cognitive-behavioral therapies: A study of within-person processes. //Frontiers in Psychology, 6//, 1273. https://doi.org/10.3389/fpsg.2015.01273
Boellinghaus, I., Jones, F.W., & Hutton, J. (2013). Cultivating self-care and compassion in psychological therapists in training: The experience of practicing loving-kindness meditation. //Training and Education in Professional Psychology, 7//(4), 267-277. https://doi.org/10.1037/a0033092
Brown, J.L.C., Ong, J., Mathers, J.M., & Decker, J.T. (2017). Compassion fatigue and mindfulness: Comparing mental health professionals and MSW student interns. //Journal of Evidence-informed Social Work, 14//(3), 119-130. https://doi.org/10.1080/23761407.2017.1302859
Bond, A.R., Mason, H.F., Lemaster, C.M., Shaw, S.E., Mullin, C.S., Holick, E.A., ... & Saper, R.B. (2013). Embodied health: The effects of a mind-body course for medical students. //Medical Education online, 18//(1), 20699. https://doi.org/10.3402/meo.v18i0.20699
Mehr, K.E., & Adams, A.C. (2016). Self-compassion as a mediator of maladaptive perfectionism and depressive symptoms in college students. //Journal of College Student Psychotherapy, 30//(2), 132-145. https://doi.org/10.1080/87568225.2016.1140991
Mascaro, J.S., Rilling, J.K., Negi, L.T., & Raison, C.L. (2013). Pre-existing brain function predicts subsequent practice of mindfulness and compassion meditation. //Neuroimage, 69//, 35-42. https://doi.org/10.1016/j.neuroimage.2012.12.021
Bartels-Velthuis, A.A., Schroevers, M.J., van der Ploeg, K., Koster, F., Fleer, J., & van den Brink, E. (2016). A mindfulness-based compassionate living training in a heterogeneous sample of psychiatric outpatients: A feasibility study. //Mindfulness, 7//(4), 809-818. https://doi.org/10.1007/s12671-016-0518-8
Bluth, K., & Blanton, P.W. (2014). Mindfulness and self-compassion: Exploring pathways to adolescent emotional well-being. //Journal of Child and Family Studies, 23//(7), 1298-1309. https://doi.org/10.1007/s10826-013-9830-2
Gard, T., Brach, N., Holzel, B.K., Noggle, J.J., Conboy, L.A., & Lazar, S.W. (2012). Effects of a yoga-based intervention for young adults on quality of life and perceived stress: The potential mediating roles of mindfulness and self-compassion. //Journal of Positive Psychology, 7//(3), 165-175. https://doi.org/10.1080/17439760.2012.667144
Moreira, H., Carona, C., Silva, N., Nunes, J., & Canavarro, M.C. (2016). Exploring the link between maternal attachment-related anxiety and avoidance and mindful parenting: The mediating role of self-compassion. //Psychology and Psychotherapy: Theory, Research and Practice, 89//(4), 369-384. https://doi.org/10.1111/papt.12082
Hussein, M., Egan, H., & Mantzios, M. (2017). Mindful construal diaries: A less anxious, more mindful, and more self-compassionate method of eating. //Sage Open, 2007//, 1-8. https://doi.org/10.1177/2158244017704685
Akin, A., & Akin, U. (2017). Does self-compassion predict spiritual experiences of Turkish university students?. //Journal of Religion & Health, 56//(1), 109-117. https://doi.org/10.1007/s10943-015-0138-y
Svendsen, J.L., Kvernenes, K.V., Wiker, A.S., & Dundas, I. (2017). Mechanisms of mindfulness: Rumination and self-compassion. //Nordic Psychology, 69//(2), 71-82. https://doi.org/10.1080/19012276.2016.1171730
Pinto-Gouveia, J., Duarte, C., Matos, M., & Fraguas, S. (2014). The protective role of self-compassion in relation to psychopathology symptoms and quality of life in chronic and in cancer patients. //Clinical Psychology & Psychotherapy, 21//(4), 311-323. https://doi.org/10.1002/cpp.1838
Potter, P., Deshields, T., Berger, J.A., Clarke, M., Olsen, S., & Chen, L. (2013). Evaluation of a compassion fatigue resiliency program for oncology nurses. //Oncology Nursing Forum, 40//(2), 180-187. https://doi.org/10.1188/13.ONF.180-187
Fresnics, A., & Borders, A. (2017). Angry rumination mediates the unique associations between self-compassion and anger and aggression. //Mindfulness, 8//(3), 554-564. https://doi.org/10.1007/s12671-016-0629-2
Fong, M., & Loi, N.M. (2016). The mediating role of self-compassion in student psychological health. //Australian Psychologist, 51//(6), 431-441. https://doi.org/10.1111/ap.12185
Hwang, S., Kim, G., Yang, J.W., & Yang, E. (2016). The moderating effects of age on the relationships of self-compassion, self-esteem, and mental health. //Japanese Psychological Research, 58//(2), 194-205. https://doi.org/10.1111/jpr.12109
Galla, B.M. (2016). Within-person changes in mindfulness and self-compassion predict enhanced emotional well-being in healthy, but stressed adolescents. //Journal of Adolescence, 49//, 204-217. https://doi.org/10.1016/j.adolescence.2016.03.016
Atkinson, D.M., Rodman, J.L., Thuras, P.D., Shiroma, P.R., & Lim, K.O. (2017). Examining burnout, depression, and self-compassion in veterans affairs mental health staff. //Journal of Alternative and Complementary Medicine, 23//(7), 551-557. https://doi.org/10.1089/acm.2017.0087
Arimitsu, K. (2016). The effects of a program to enhance self-compassion in Japanese individuals: A randomized controlled pilot study. //Journal of Positive Psychology, 11//(6), 559-571. https://doi.org/10.1080/17439760.2016.1152593
Voci, A., Veneziani, C.A., & Bernardi, S. (2016). Dispositional mindfulness and self-compassion as predictors of work-related well-being. //Psicologia Sociale, 11//(1), 69-88. https://doi.org/10.1482/82881
Wong, C.C.Y., & Mak, W.W.S. (2013). Differentiating the role of three self-compassion components in buffering cognitive-personality vulnerability to depression among Chinese in Hong Kong. //Journal of Counseling Psychology, 60//(1), 162-169. https://doi.org/10.1037/a0030451
Rodgers, R.F., Franko, D.L., Donovan, E., Cousineau, T., Yates, K., McGowan, K., ... & Lowy, A.S. (2017). Body Image in emerging adults: The protective role of self-compassion. //Body image, 22//, 148-155. https://doi.org/10.1016/j.bodyim.2017.07.003
Erogul, M., Singer, G., McIntyre, T., & Stefanov, D.G. (2014). Abridged mindfulness intervention to support wellness in first-year medical students. //Teaching and Learning in Medicine, 26//(4), 350-356. https://doi.org/10.1080/10401334.2014.945025
Keng, S.L., & Liew, K.W.L. (2017). Trait mindfulness and self-compassion as moderators of the association between gender nonconformity and psychological health. //Mindfulness, 8//(3), 615-626. https://doi.org/10.1007/s12671-016-0639-0
Iskender, M. (2009). The relationship between self-compassion, self-efficacy, and control belief about learning in Turkish university students. //Social Behavior and Personality, 37//(5), 711-720. https://doi.org/10.2224/sbp.2009.37.5.711
Soysa, C.K., & Wilcomb, C.J. (2015). Mindfulness, self-compassion, self-efficacy, and gender as predictors of depression, anxiety, stress, and well-being. //Mindfulness, 6//(2), 217-226. https://doi.org/10.1007/s12671-013-0247-1
Kanov, J.M., Maitlis, S., Worline, M.C., Dutton, J.E., Frost, P.J., & Lilius, J.M. (2004). Compassion in organizational life. //American Behavioral Scientist, 47//(6), 808-827. https://doi.org/10.1177/0002764203260211
Sun, X.Y., Chan, D.W., & Chan, L.K. (2016). Self-compassion and psychological well-being among adolescents in Hong Kong: Exploring gender differences. //Personality and Individual Differences, 101//, 288-292. https://doi.org/10.1016/j.paid.2016.06.011
Fortney, L., Luchterhand, C., Zakletskaia, L., Zgierska, A., & Rakel, D. (2013). Abbreviated mindfulness intervention for job satisfaction, quality of life, and compassion in primary care clinicians: A pilot study. //Annals of Family Medicine, 11//(5), 412-420. https://doi.org/10.1370/afm.1511
Mantzios, M., Wilson, J.C., Linnell, M., & Morris, P. (2015). The role of negative cognition, intolerance of uncertainty, mindfulness, and self-compassion in weight regulation among male army recruits. //Mindfulness, 6//(3), 545-552. https://doi.org/10.1007/s12671-014-0286-2
Galla, B.M., O'Reilly, G.A., Kitil, M.J., Smalley, S.L., & Black, D.S. (2015). Community-based mindfulness program for disease prevention and health promotion: Targeting stress reduction. //American Journal of Health Promotion, 30//(1), 36-41. https://doi.org/10.4278/ajhp.131107-QUAN-567
Akin, A. (2010). Self-compassion and interpersonal cognitive distortions. //Hacettepe University Journal of Education, 39//(39), 1-9.
Kuyken, W., Watkins, E., Holden, E., White, K., Taylor, R.S., Byford, S., ... & Dalgleish, T. (2010). How does mindfulness-based cognitive therapy work?. //Behaviour Research and Therapy, 48//(11), 1105-1112. https://doi.org/10.1016/j.brat.2010.08.003
Duarte, J., & Pinto-Gouveia, J. (2016). Effectiveness of a mindfulness-based intervention on oncology nurses' burnout and compassion fatigue symptoms: A non-randomized study. //International Journal of Nursing Studies, 64//, 98-107. https://doi.org/10.1016/j.ijnurstu.2016.10.002
Birnie, K., Speca, M., & Carlson, L.E. (2010). Exploring self-compassion and empathy in the context of mindfulness-based stress reduction (MBSR). //Stress and Health, 26//(5), 359-371. https://doi.org/10.1002/smi.1305
Kristeller, J.L., & Johnson, T. (2005). Science looks at spirituality - cultivating loving kindness: A two-stage model of the effects of meditation on empathy, compassion, and altruism. //Zygon, 40//(2), 391-407. https://doi.org/10.1111/j.1467-9744.2005.00671.x
Neff, K.D., & Faso, D.J. (2015). Self-compassion and well-being in parents of children with autism. //Mindfulness, 6//(4), 938-947. https://doi.org/10.1007/s12671-014-0359-2
Dowd, A.J., & Jung, M.E. (2017). Self-compassion directly and indirectly predicts dietary adherence and quality of life among adults with celiac disease. //Appetite, 113//, 293-300. https://doi.org/10.1016/j.appet.2017.02.023
Hollingsworth, A. (2008). Implications of interpersonal neurobiology for a spirituality of compassion. //Zygon, 43//(4), 837-860. https://doi.org/10.1111/j.1467-9744.2008.00963.x
Schmidt, S. (2004). Mindfulness and healing intention: Concepts, practice, and research evaluation. //Journal of Alternative and Complementary Medicine, 10//, S7-S14. https://doi.org/10.1089/acm.2004.10.S-7
Lord, S.A. (2013). Meditative dialogue: Cultivating compassion and empathy with survivors of complex childhood trauma. //Journal of Aggression Maltreatment & Trauma, 22//(9), 997-1014. https://doi.org/10.1080/10926771.2013.834018
Rodriguez-Carvajal, R., Garcia-Rubio, C., Paniagua, D., Garcia-Diex, G., & de Rivas, S. (2016). Mindfulness integrative model (MIM): Cultivating positive states of mind towards oneself and the others through mindfulness and self-compassion. //Annals of Psychology, 32//(3), 749-760. https://doi.org/10.6018/analesps.32.3.261681
Muris, P., Meesters, C., Pierik, A., & de Kock, B. (2016). Good for the self: Self-compassion and other self-related constructs in relation to symptoms of anxiety and depression in non-clinical youths. //Journal of Child and Family Studies, 25//(2), 607-617. https://doi.org/10.1007/s10826-015-0235-2
Costa, J., & Pinto-Gouveia, J. (2013). Experiential avoidance and self-compassion in chronic pain. //Journal of Applied Social Psychology, 43//(8), 1578-1591. https://doi.org/10.1111/jasp.12107
Van Dam, N.T., Sheppard, S.C., Forsyth, J.P., & Earleywine, M. (2011). Self-compassion is a better predictor than mindfulness of symptom severity and quality of life in mixed anxiety and depression. //Journal of Anxiety Disorders, 25//(1), 123-130. https://doi.org/10.1016/j.janxdis.2010.08.011
Neff, K. (2003). Self-compassion: An alternative conceptualization of a healthy attitude toward oneself. //Self and Identity, 2//(2), 85-101. https://doi.org/10.1080/15298860390129863
Bluth, K., Gaylord, S.A., Campo, R.A., Mullarkey, M.C., & Hobbs, L. (2016). Making friends with yourself: A mixed methods pilot study of a mindful self-compassion program for adolescents. //Mindfulness, 7//(2), 479-492. https://doi.org/10.1007/s12671-015-0476-6
Kennedy, A., & Ellerby, M. (2016). A compassion-focused approach to working with someone diagnosed with schizophrenia. //Journal of Clinical Psychology, 72//(2), 123-131. https://doi.org/10.1002/jclp.22251
Graser, J., Hofling, V., Wesslau, C., Mendes, A., & Stangier, U. (2016). Effects of a 12-week mindfulness, compassion, and loving kindness program on chronic depression: A pilot within-subjects wait-list controlled trial. //Journal of Cognitive Psychotherapy, 30//(1), 35-49. https://doi.org/10.1891/0889-8391.30.1.35
Satici, S.A., Uysal, R., & Akin, A. (2013). Investigating the relationship between flourishing and self-compassion: A structural equation modeling approach. //Psychologica Belgica, 53//(4), 85-99. https://doi.org/10.5334/pb-53-4-85
Crews, D.A., Stolz-Newton, M., & Grant, N.S. (2016). The use of yoga to build self-compassion as a healing method for survivors of sexual violence. //Journal of Religion and Spirituality in Social Work, 35//(3), 139-156. https://doi.org/10.1080/15426432.2015.1067583
Mantzios, M. (2014). Exploring the relationship between worry and impulsivity in military recruits: The role of mindfulness and self-compassion as potential mediators. //Stress and Health, 30//(5), 397-404. https://doi.org/10.1002/smi.2617
Greeson, J.M., Juberg, M.K., Maytan, M., James, K., & Rogers, H. (2014). A randomized controlled trial of Koru: A mindfulness program for college students and other emerging adults. //Journal of American College Health, 62//(4), 222-233. https://doi.org/10.1080/07448481.2014.887571
Beck, A.R., Verticchio, H., Seeman, S., Milliken, E., & Schaab, H. (2017). A mindfulness practice for communication sciences and disorders undergraduate and speech-language pathology graduate students: Effects on stress, self-compassion, and perfectionism. //American Journal of Speech-language Pathology, 26//(3), 893-907. https://doi.org/10.1044/2017_AJSLP-16-0172
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8), e0136955. https://doi.org/10.1371/journal.pone.0136955
Miller, J.G., Kahle, S., Lopez, M., & Hastings, P.D. (2015). Compassionate love buffers stress-reactive mothers from fight-or-flight parenting. //Developmental Psychology, 51//(1), 36-43. https://doi.org/10.1037/a0038236
Mantzios, M., & Egan, H.H. (2017). On the role of self-compassion and self-kindness in weight regulation and health behavior change. //Frontiers in Psychology, 8//, 229. https://doi.org/10.3389/fpsyg.2017.00229
Hollis-Walker, L., & Colosimo, K. (2011). Mindfulness, self-compassion, and happiness in non-meditators: A theoretical and empirical examination. //Personality and Individual Differences, 50//(2), 222-227. https://doi.org/10.1016/j.paid.2010.09.033
Akin, A. (2009). Self-compassion and submissive behavior. //Egitim Ve Bilim-education and Science, 34//(152), 138-147.
Akin, A., & Akin, U. (2015). The predictive role of self-compassion on entrapment in Turkish university students. //Universitas Psychologica, 14//(2), 423-431. http://dx.doi.org.10.11144/Javeriana.upsy14-2.prsc
Roeser, R.W., & Eccles, J.S. (2015). Mindfulness and compassion in human development: Introduction to the special section. //Developmental Psychology, 51//(1), 1-6. https://doi.org/10.1037/a0038453
Germer, C.K., & Neff, K.D. (2013). Self-compassion in clinical practice. //Journal of Clinical Psychology, 69//(8), 856-867. https://doi.org/10.1002/jclp.22021
Chang, E.C., Yu, T.N., Najarian, A.S.M., Wright, K.M., Chen, W.T., Chang, O.D., ... & Hirsch, J.K. (2017). Understanding the association between negative life events and suicidal risk in college students: Examining self-compassion as a potential mediator. //Journal of Clinical Psychology, 73//(6), 745-755. https://doi.org/10.1002/jclp.22374
Przezdziecki, A., & Sherman, K.A. (2016). Modifying affective and cognitive responses regarding body image difficulties in breast cancer survivors using a self-compassion-based writing intervention. //Mindfulness, 7//(5), 1142-1155. https://doi.org/10.1007/s12671-016-0557-1
Psychogiou, L., Legge, K., Parry, E., Mann, J., Nath, S., Ford, T., ... & Kuyken, W. (2016). Self-compassion and parenting in mothers and fathers with depression. //Mindfulness, 7//(4), 896-908. https://doi.org/10.1007/s12671-016-0528-6
McArthur, M., Mansfield, C., Matthew, S., Zaki, S., Brand, C., Andrews, J., ... & Hazel, S. (2017). Resilience in veterinary students and the predictive role of mindfulness and self-compassion. //Journal of Veterinary Medical Education, 44//(1), 106-115. https://doi.org/10.3138/jvme.0116-027R1
Brooker, J., Julian, J., Webber, L., Chan, J., Shawyer, F., & Meadows, G. (2013). Evaluation of an occupational mindfulness program for staff employed in the disability sector in Australia. //Mindfulness, 4//(2), 122-136. https://doi.org/10.1007/s12671-012-0112-7
Akin, A. (2012). Self-compassion and automatic thoughts. //Hacettepe University Journal of Education, 42//, 1-10.
Johnson, E.A., & O'Brien, K.A. (2013). Self-compassion soothes the savage ego-threat system: Effects on negative affect, shame, rumination, and depressive symptoms. //Journal of Social and Clinical Psychology, 32//(9), 939-963. http://psycnet.apa.org/doi/10.1521/jscp.2013.32.9.939
Chamberlain, D., Williams, A., Stanley, D., Mellor, P., Cross, W., & Siegloff, L. (2016). Dispositional mindfulness and employment status as predictors of resilience in third year nursing students: A quantitative study. //Nursing Open, 3//(4), 212-221. https://doi.org/10.1002/nop2.56
Craigie, M., Slatyer, S., Hegney, D., Osseiran-Moisson, R., Gentry, E., Davis, S., ... & Rees, C. (2016). A pilot evaluation of a mindful self-care and resiliency (MSCR) intervention for nurses. //Mindfulness, 7//(3), 764-774. https://doi.org/10.1007/s12671-016-0516-x
Whitesman, S., & Mash, R. (2015). Examining the effects of a mindfulness-based professional training module on mindfulness, perceived stress, self-compassion and self-determination. //African Journal of Health Professions Education, 7//(2), 220-223. https://doi.org/10.7196/AJHPE.460
Liss, M., & Erchull, M.J. (2015). Not hating what you see: Self-compassion may protect against negative mental health variables connected to self-objectification in college women. //Body Image, 14//, 5-12. https://doi.org/10.1016/j.bodyim.2015.02.006
Stolow, D., Zuroff, D.C., Young, J.F., Karlin, R.A., & Abela, J.R.Z. (2016). A prospective examination of self-compassion as a predictor of depressive symptoms in children and adolescents. //Journal of Social and Clinical Psychology, 35//(1), 1-20. https://doi.org/10.1521/jscp.2016.35.1.1
Pidgeon, A.M., Ford, L., & Klaassen, F. (2014). Evaluating the effectiveness of enhancing resilience in human service professionals using a retreat-based mindfulness with metta training program: A randomised control trial. //Psychology Health & Medicine, 19//(3), 355-364. https://doi.org/10.1080/13548506.2013.806815
Gilbert, P., McEwan, K., Gibbons, L., Chotai, S., Duarte, J., & Matos, M. (2012). Fears of compassion and happiness in relation to alexithymia, mindfulness, and self-criticism. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(4), 374-390. https://doi.org/10.1111/j.2044-8341.2011.02046.x
Sanso, N., Galiana, L., Cebolla, A., Oliver, A., Benito, E., & Ekman, E. (2017). Cultivating emotional balance in professional caregivers: A pilot intervention. //Mindfulness, 8//(5), 1319-1327. https://doi.org/10.1007/s12671-017-0707-0
Hilbert, A., Braehler, E., Schmidt, R., Lowe, B., Hauser, W., & Zenger, M. (2015). Self-compassion as a resource in the self-stigma process of overweight and obese individuals. //Obesity Facts, 8//(5), 293-301. https://doi.org/10.1159/000438681
Kearney, D.J., Malte, C.A., McManus, C., Martinez, M.E., Felleman, B., & Simpson, T.L. (2013). Loving-kindness meditation for posttraumatic stress disorder: A pilot study. //Journal of Traumatic Stress, 26//(4), 426-434. https://doi.org/10.1002/jts.21832
Manavipour, D., & Saeedian, Y. (2016). The role of self-compassion and control belief about learning in university students' self-efficacy. //Journal of Contextual Behavioral Science, 5//(2), 121-126. https://doi.org/10.1016/j.jcbs.2016.02.003
Rowe, A.C., Shepstone, L., Carnelley, K.B., Cavanagh, K., & Millings, A. (2016). Attachment security and self-compassion priming increase the likelihood that first-time engagers in mindfulness meditation will continue with mindfulness training. //Mindfulness, 7//(3), 642-650. https://doi.org/10.1007/s12671-016-0499-7
Rojiani, R., Santoyo, J.F., Rahrig, H., Roth, H.D., & Britton, W.B. (2017). Women benefit more than men in response to college-based meditation training. //Frontiers in Psychology, 8//, 551. https://doi.org/10.3389/fpsyg.2017.00551
Lee, W.K., & Bang, H.J. (2010). The effects of mindfulness-based group intervention on the mental health of middle-aged Korean women in community. //Stress and Health, 26//(4), 341-348. https://doi.org/10.1002/smi.1303
Bogosian, A., Hughes, A., Norton, S., Silber, E., & Moss-Morris, R. (2016). Potential treatment mechanisms in a mindfulness-based intervention for people with progressive multiple sclerosis. //British Journal of Health Psychology, 21//(4), 859-880. https://doi.org/10.1111/bjhp.12201
Runyan, C., Savageau, J.A., Potts, S., & Weinreb, L. (2016). Impact of a family medicine resident wellness curriculum: A feasibility study. //Medical Education Online, 21//, 1. https://doi.org/10.3402/meo.v21.30648
Woodruff, S.C., Glass, C.R., Arnkoff, D.B., Crowley, K.J., Hindman, R.K., & Hirschhorn, E.W. (2014). Comparing self-compassion, mindfulness, and psychological inflexibility as predictors of psychological health. //Mindfulness, 5//(4), 410-421. https://doi.org/10.1007/s12671-013-0195-9
Van Dam, N.T., Hobkirk, A.L., Sheppard, S.C., Aviles-Andrews, R., & Earleywine, M. (2014). How does mindfulness reduce anxiety, depression, and stress? An exploratory examination of change processes in wait-list controlled mindfulness meditation training. //Mindfulness, 5//(5), 574-588. https://doi.org/10.1007/s12671-013-0229-3
Zhang, Y.H., Luo, X., Che, X.W., & Duan, W.J. (2016). Protective effect of self-compassion to emotional response among students with chronic academic stress. //Frontiers in Psychology, 7//, 1802. https://doi.org/10.3389/fpsyg.2016.01802
Albertson, E.R., Neff, K.D., & Dill-Shackleford, K.E. (2015). Self-compassion and body dissatisfaction in women: A randomized controlled trial of a brief meditation intervention. //Mindfulness, 6//(3), 444-454. https://doi.org/10.1007/s12671-014-0277-3
Devenish-Meares, P. (2015). Call to compassionate self-care: Introducing self-compassion into the workplace treatment process. //Journal of Spirituality in Mental Health, 17//(1), 75-87. https://doi.org/10.1080/19349637.2015.985579
Wallmark, E., Safarzadeh, K., Daukantaite, D., & Maddux, R.E. (2013). Promoting altruism through meditation: An 8-week randomized controlled pilot study. //Mindfulness, 4//(3), 223-234. https://doi.org/10.1007/s12671-012-0115-4
Moreira, H., & Canavarro, M.C. (2017). Psychometric properties of the interpersonal mindfulness in parenting scale in a sample of portuguese mothers. //Mindfulness, 8//(3), 691-706. https://doi.org/10.1007/s12671-016-0647-0
[img[tps75.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kharlas, D.A., & Frewen, P. (2016). Trait mindfulness correlates with individual differences in multisensory imagery vividness. //Personality and Individual Differences, 93//, 44-50. https://doi.org/10.1016/j.paid.2015.09.027
White, R., Jain, S., & Giurgi-Oncu, C. (2014). Counterflows for mental well-being: What high-income countries can learn from low and middle-income countries. //International Review of Psychiatry, 26//(5), 602-606. https://doi.org/10.3109/09540261.2014.939578
van den Hout, M.A., Engelhard, I.M., Beetsma, D., Slofstra, C., Hornsveld, H., Houtveen, J., ... & Leer, A. (2011). EMDR and mindfulness. Eye movements and attentional breathing tax working memory and reduce vividness and emotionality of aversive ideation. //Journal of Behavior Therapy and Experimental Psychiatry, 42//(4), 423-431. https://doi.org/10.1016/j.jbtep.2011.03.004
van Vugt, M.K., Hitchcock, P., Shahar, B., & Britton, W. (2012). The effects of mindfulness-based cognitive therapy on affective memory recall dynamics in depression: A mechanistic model of rumination. //Frontiers in Human Neuroscience, 6//, 257. https://doi.org/10.3389/fnhum.2012.00257
Kuyken, W., & Moulds, M.L. (2009). Remembering as an observer: How is autobiographical memory retrieval vantage perspective linked to depression?. //Memory, 17//(6), 624-634. https://doi.org/10.1080/09658210902984526
Masuda, A., Hayes, S.C., Sackett, C.F., & Twohig, M.P. (2004). Cognitive defusion and self-relevant negative thoughts: Examining the impact of a ninety year old technique. //Behaviour Research and Therapy, 42//(4), 477-485. https://doi.org/10.1016/j.brat.2003.10.008
Wheatley, J., & Hackmann, A. (2011). Using imagery rescripting to treat major depression: Theory and practice. //Cognitive and Behavioral Practice, 18//(4), 444-453. https://doi.org/10.1016/j.cbpra.2010.06.004
Crawley, R. (2015). Trait mindfulness and autobiographical memory specificity. //Cognitive Processing, 16//(1), 79-86. https://doi.org/10.1007/s10339-014-0631-3
Blackledge, J.T. (2007). Disrupting verbal processes: Cognitive defusion in acceptance and commitment therapy and other mindfulness-based psychotherapies. //Psychological Record, 57//(4), 555-576. http://dx.doi.org/10.1007/BF03395595
Heeren, A., Van Broeck, N., & Philippot, P. (2009). The effects of mindfulness on executive processes and autobiographical memory specificity. //Behaviour Research and Therapy, 47//(5), 403-409. https://doi.org/10.1016/j.brat.2009.01.017
Poncin, M., Neumann, A., Luminet, O., Vande Weghe, N., Philippot, P., & de Timary, P. (2015). Disease recognition is related to specific autobiographical memory deficits in alcohol-dependence. //Psychiatry Research, 230//(2), 157-164. https://doi.org/10.1016/j.psychres.2015.08.031
Gadeikis, D., Bos, N., Schweizer, S., Murphy, F., & Dunn, B. (2017). Engaging in an experiential processing mode increases positive emotional response during recall of pleasant autobiographical memories. //Behaviour Research and Therapy, 92//, 68-76. https://doi.org/10.1016/j.brat.2017.02.005
Hamilton, J., Fawson, S., May, J., Andrade, J., & Kavanagh, D.J. (2013). Brief guided imagery and body scanning interventions reduce food cravings. //Appetite, 71//, 158-162. https://doi.org/10.1016/j.appet.2013.08.005
Williams, J.M.G., Teasdale, J.D., Segal, Z.V., & Soulsby, J. (2000). Mindfulness-based cognitive therapy reduces overgeneral autobiographical memory in formerly depressed patients. //Journal of Abnormal Psychology, 109//(1), 150-155. https://doi.org/10.1037//0021-843X.109.1.150
Varnaseri, H., Lavender, T., & Lockerbie, L. (2016). An investigation of the mediating factors in the relationship between early childhood adversity and borderline personality characteristics in forensic inpatients. //Journal of Forensic Practice, 18//(1), 17-30. https://doi.org/10.1108/JFP-02-2015-0016
van der Gucht, K., Takano, K., Van Broeck, N., & Raes, F. (2015). A mindfulness-based intervention for economically disadvantaged people: Effects on symptoms of stress, anxiety, and depression and on cognitive reactivity and overgeneralization. //Mindfulness, 6//(5), 1042-1052. https://doi.org/10.1007/s12671-014-0353-8
Smallwood, J., O'Connor, R.C., Sudbery, M.V., & Obonsawin, M. (2007). Mind-wandering and dysphoria. //Cognition & Emotion, 21//(4), 816-842. https://doi.org/10.1080/02699930600911531
Hesser, H., Westin, V., Hayes, S.C., & Andersson, G. (2009). Clients' in-session acceptance and cognitive defusion behaviors in acceptance-based treatment of tinnitus distress. //Behaviour Research and Therapy, 47//(6), 523-528. https://doi.org/10.1016/j.brat.2009.02.002
Watkins, E., & Teasdale, J.D. (2004). Adaptive and maladaptive self-focus in depression. //Journal of Affective Disorders, 82//(1), 1-8. https://doi.org/10.1016/j.jad.2003.10.006
Lloyd, M., Szani, A., Rubenstein, K., Colgary, C., & Pereira-Pasarin, L. (2016). A brief mindfulness exercise before retrieval reduces recognition memory false alarms. //Mindfulness, 7//(3), 606-613. https://doi.org/10.1007/s12671-016-0495-y
Naragon-Gainey, K., & DeMarree, K.G. (2017). Structure and validity of measures of decentering and defusion. //Psychological Assessment, 29//(7), 935-954. https://doi.org/10.1037/pas0000405
Roberts-Wolfe, D., Sacchet, M., Hastings, E., Roth, H., & Britton, W. (2012). Mindfulness training alters emotional memory recall compared to active controls: Support for an emotional information processing model of mindfulness. //Frontiers in Human Neuroscience, 6//, 15. https://doi.org/10.3389/fnhum.2012.00015
Frewen, P.A., Dozois, D.J.A., Neufeld, R.W.J., Lane, R.D., Densmore, M., Stevens, T.K., ... & Lanius, R.A. (2010). Individual differences in trait mindfulness predict dorsomedial prefrontal and amygdala response during emotional imagery: An fMRI study. //Personality and Individual Differences, 49//(5), 479-484. https://doi.org/10.1016/j.paid.2010.05.008
Hafenbrack, A.C., Kinias, Z., & Barsade, S.G. (2014). Debiasing the mind through meditation: Mindfulness and the sunk-cost bias. //Psychological Science, 25//(2), 369-376. https://doi.org/10.1177/0956797613503853
Saunders, J., Barawi, K., & McHugh, L. (2013). Mindfulness increases recall of self-threatening information. //Consciousness and Cognition, 22//(4), 1375-1383. https://doi.org/10.1016/j.concog.2013.09.001
Masud, A., Twohig, M.P., Stormo, A.R., Feinstein, A.B., Chou, Y.Y., & Wendell, J.W. (2010). The effects of cognitive defusion and thought distraction on emotional discomfort and believability of negative self-referential thoughts. //Journal of Behavior Therapy and Experimental Psychiatry, 41//(1), 11-17. https://doi.org/10.1016/j.jbtep.2009.08.006
Kross, E., Ayduk, O., & Mischel, W. (2005). When asking "why" does not hurt - Distinguishing rumination from reflective processing of negative emotions. //Psychological Science, 16//(9), 709-715. https://doi.org/10.1111/j.1467-9280.2005.01600.x
McQuillan, A., Nicastro, R., Guenot, F., Girard, M., Lissner, C., & Ferrero, F. (2005). Intensive dialectical behavior therapy for outpatients with borderline personality disorder who are in crisis. //Psychiatric Services, 56//(2), 193-197. https://doi.org/10.1176/appi.ps.56.2.193
Schredl, M., Stumbrys, T., & Erlacher, D. (2016). Dream recall, nightmare frequency, and spirituality. //Dreaming, 26//(1), 1-9. https://doi.org/10.1037/drm0000015
Skilton, A., & Choompolpaisal, P. (2015). The Ancient Theravāda Meditation System, Borān Kammaṭṭhāna: Ānāpānasati or ‘Mindfulness of The Breath’ in Kammatthan Majjima Baeb Lamdub //Buddhist Studies Review, 32//(2), 207-229. https://doi.org/10.1558/bsrv.v32i2.28172
Donald, J.N., Atkins, P.W.B., Parker, P.D., Christie, A.M., & Guo, J.S. (2017). Cognitive defusion predicts more approach and less avoidance coping with stress, independent of threat and self-efficacy appraisals. //Journal of Personality, 85//(5), 716-729. https://doi.org/10.1111/jopy.12279
Hick, S.F., & Furlotte, C. (2010). An exploratory study of radical mindfulness training with severely economically disadvantaged people: Findings of a Canadian study. //Australian Social Work, 63//(3), 281-298. https://doi.org/10.1080/0312407X.2010.496865
Dylan, A., & Smallboy, B. (2016). Land-based spirituality among the Cree of the Mushkegowuk territory. //Journal of Religion and Spirituality in Social Work, 35//(1-2), 108-119. https://doi.org/10.1080/15426432.2015.1067589
Andrew, R., Tiggemann, M., & Clark, L. (2016). Positive body image and young women's health: Implications for sun protection, cancer screening, weight loss and alcohol consumption behaviours. //Journal of Health Psychology, 21//(1), 28-39. https://doi.org/10.1177/1359105314520814
Flett, M.R. (2014). Exploring the accuracy and simplicity of idiographic feeling-performance models. //Journal of Applied Sport Psychology, 26//(4), 409-425. https://doi.org/10.1080/10413200.2014.911220
Fointiat, V., Morisot, V., & Pakuszewski, M. (2008). Effects of past transgressions in an induced hypocrisy paradigm. //Psychological Reports, 103//(2), 625-633. https://doi.org/10.2466/PR0.103.2.625-633
McCracken, L.M., Barker, E., & Chilcot, J. (2014). Decentering, rumination, cognitive defusion, and psychological flexibility in people with chronic pain. //Journal of Behavioral Medicine, 37//(6), 1215-1225. https://doi.org/10.1007/s10865-014-9570-9
Nakamura, Y., Lipschitz, D.L., Donaldson, G.W., Kida, Y., Williams, S.L., Landward, R., ... & Tuteja, A.K. (2017). Investigating clinical benefits of a novel sleep-focused mind-body program on gulf war illness symptoms: A randomized controlled trial. //Psychosomatic Medicine, 79//(6), 706-718. https://doi.org/10.1097/PSY.0000000000000469
Guixeres, J., Bigne, E., Azofra, J.M.A., Raya, M.A., Granero, A.C., Hurtado, F.F., ... & Ornedo, V.N. (2017). Consumer neuroscience-based metrics predict recall, liking and viewing rates in online advertising. //Frontiers in Psychology, 8//, 1808. https://doi.org/10.3389/fpsyg.2017.01808
Bonamo, K.K., Legerski, J.P., & Thomas, K.B. (2015). The influence of a brief mindfulness exercise on encoding of novel words in female college students. //Mindfulness, 6//(3), 535-544. https://doi.org/10.1007/s12671-014-0285-3
Kohls, N., Sauer, S., & Walach, H. (2009). Facets of mindfulness - Results of an online study investigating the Freiburg Mindfulness Inventory. //Personality and Individual Differences, 46//(2), 224-230. https://doi.org/10.1016/j.paid.2008.10.009
Bacon, T., Farhall, J., & Fossey, E. (2014). The active therapeutic processes of acceptance and commitment therapy for persistent symptoms of psychosis: Clients' perspectives. //Behavioural and Cognitive Psychotherapy, 42//(4), 402-420. https://doi.org/10.1017/S1352465813000209
Taylor, T.A., Medvedev, O.N., Owens, R.G., & Siegert, R.J. (2017). Development and validation of the State Contentment Measure. //Personality and Individual Differences, 119//, 152-159. https://doi.org/10.1016/j.paid.2017.07.010
Goldwin, M., & Behar, E. (2012). Concreteness of idiographic periods of worry and depressive rumination. //Cognitive Therapy and Research, 36//(6), 840-846. https://doi.org/10.1007/s10608-011-9428-1
[img[tps76.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Carmody, J.F., Crawford, S., Salmoirago-Blotcher, E., Leung, K., Churchill, L., & Olendzki, N. (2011). Mindfulness training for coping with hot flashes: Results of a randomized trial. //Menopause: The Journal of the North American Menopause Society, 18//(6), 611-620. https://doi.org/10.1097/gme.0b013e318204a05c
Kabat-Zinn, J., Wheeler, E., Light, T., Skillings, A., Scharf, M.J., Cropley, T.G., ... & Bernhard, J.D. (1998). Influence of a mindfulness meditation-based stress reduction intervention on rates of skin clearing in patients with moderate to severe psoriasis undergoing phototherapy (UVB) and photochemotherapy (PUVA). //Psychosomatic Medicine, 60//(5), 625-632.
Lee, S., Kim, M.W., McDonough, I.M., Mendoza, J.S., & Kim, M.S. (2017). The effects of cell phone use and emotion-regulation style on college students' learning. //Applied Cognitive Psychology, 31//(3), 360-366. https://doi.org/10.1002/acp.3323
LaJeunesse, S., & Rodriguez, D.A. (2012). Mindfulness, time affluence, and journey-based affect: Exploring relationships. //Transportation Research Part F: Traffic Psychology and Behaviour, 15//(2), 196-205. https://doi.org/10.1016/j.trf.2011.12.010
Jyoti, J., Rani, R., & Gandotra, R. (2015). The impact of bundled high performance human resource practices on intention to leave mediating role of emotional exhaustion. //International Journal of Educational Management, 29//(4), 431-460. https://doi.org/10.1108/IJEM-07-2014-0099
Miller, M.M., & Brannon, L.A. (2017). Testing mindfulness-based acceptance against implementation intentions to discourage counterintentional cell phone use. //Mindfulness, 8//(5), 1212-1224. https://doi.org/10.1007/s12671-017-0694-1
Salmoirago-Blotcher, E., Carmody, J., Yeh, G., Crawford, S., Rosenthal, L., & Ockene, I. (2012). Design and methods for a pilot study of a phone-delivered, mindfulness-based intervention in patients with implantable cardioverter defibrillators. //Evidence-based Complementary and Alternative Medicine, 2012//, 972106. https://doi.org/10.1155/2012/972106
Terry, C.P., & Terry, D.L. (2015). Cell phone-related near accidents among young drivers: Associations with mindfulness. //Journal of Psychology, 149//(7), 665-683. https://doi.org/10.1080/00223980.2014.964166
Ozawa-de Silva, C. (2015). Mindfulness of the kindness of others: The contemplative practice of Naikan in cultural context. //Transcultural Psychiatry, 52//(4), 524-542. https://doi.org/10.1177/1363461514562922
Salmoirago-Blotcher, E., Crawford, S.L., Carmody, J., Rosenthal, L., Yeh, G., Stanley, M., ... & Ockene, I.S. (2013). Phone-delivered mindfulness training for patients with implantable cardioverter defibrillators: Results of a pilot randomized controlled trial. //Annals of Behavioral Medicine, 46//(2), 243-250. https://doi.org/10.1007/s12160-013-9505-7
Fordham, B., Griffiths, C.E.M., & Bundy, C. (2015). A pilot study examining mindfulness-based cognitive therapy in psoriasis. //Psychology Health & Medicine, 20//(1), 121-127. https://doi.org/10.1080/13548506.2014.902483
Woods, N.F., Mitchell, E.S., Schnall, J.G., Cray, L., Ismail, R., Taylor-Swanson, L., ... & Thomas, A. (2014). Effects of mind-body therapies on symptom clusters during the menopausal transition. //Climacteric, 17//(1), 10-22. https://doi.org/10.3109/13697137.2013.828198
Arimitsu, K. (2016). The effects of a program to enhance self-compassion in Japanese individuals: A randomized controlled pilot study. //Journal of Positive Psychology, 11//(6), 559-571. https://doi.org/10.1080/17439760.2016.1152593
Wilson, S., Chaloner, N., Osborn, M., & Gauntlett-Gilbert, J. (2017). Psychologically informed physiotherapy for chronic pain: Patient experiences of treatment and therapeutic process. //Physiotherapy, 103//(1), 98-105. https://doi.org/10.1016/j.physio.2015.11.005
Carmody, J., Crawford, S., & Churchill, L. (2006). A pilot study of mindfulness-based stress reduction for hot flashes. //Menopause: The Journal of the North American Menopause Society, 13//(5), 760-769. https://doi.org/10.1097/01.gme.0000227402.98933.d0
Sugiura, Y., Sato, A., Ito, Y., & Murakami, H. (2012). Development and validation of the Japanese version of the ive Facet Mindfulness Questionnaire. F//Mindfulness, 3//(2), 85-94. https://doi.org/10.1007/s12671-011-0082-1
[img[tps77.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Nefs, G., Bot, M., Browne, J.L., Speight, J., & Pouwer, F. (2012). Diabetes miles - the Netherlands: Rationale, design and sample characteristics of a national survey examining the psychosocial aspects of living with diabetes in dutch adults. //BMC Public Health, 12//. https://doi.org/10.1186/1471-2458-12-925
Jung, H.Y., Lee, H., & Park, J. (2015). Comparison of the effects of Korean mindfulness-based stress reduction, walking, and patient education in diabetes mellitus. //Nursing & Health Sciences, 17//(4), 516-NA. https://doi.org/10.1111/nhs.12229
Lauche, R., Fathi, I., Saddat, C., Klose, P., Al-Abtah, J., Bussing, A., ... & Cramer, H. (2016). The effects of Ramadan fasting on physical and mental health in healthy adult Muslims-study protocol for a randomised controlled trial. //Advances in Integrative Medicine, 3//(1), 26-30. https://doi.org/10.1016/j.aimed.2016.07.001
Dreger, L.C., Mackenzie, C., & McLeod, B. (2015). Feasibility of a mindfulness-based intervention for aboriginal adults with type 2 diabetes. //Mindfulness, 6//(2), 264-280. https://doi.org/10.1007/s12671-013-0257-z
Schroevers, M.J., Tovote, K.A., Keers, J.C., Links, T.P., Sanderman, R., & Fleer, J. (2015). Individual mindfulness-based cognitive therapy for people with diabetes: A pilot randomized controlled trial. //Mindfulness, 6//(1), 99-110. https://doi.org/10.1007/s12671-013-0235-5
Youngwanichsetha, S., Phumdoung, S., & Ingkathawornwong, T. (2014). The effects of mindfulness eating and yoga exercise on blood sugar levels of pregnant women with gestational diabetes mellitus. //Applied Nursing Research, 27//(4), 227-230. https://doi.org/10.1016/j.apnr.2014.02.002
Tsenkova, V., Boylan, J.M., & Ryff, C. (2013). Stress eating and health. Findings from MIDS, a national study of us adults. //Appetite, 69//, 151-155. https://doi.org/10.1016/j.appet.2013.05.020
Caldwell, J.M., & Patterson-Kane, L. (2014). The treatment of comorbid anxiety in a male with poorly controlled diabetes in a very remote primary health care service. //Clinical Case Studies, 13//(3), 250-264. https://doi.org/10.1177/1534650113507992
van Son, J., Nyklicek, I., Pop, V.J., Blonk, M.C., Erdtsieck, R.J., Spooren, P.F., ... & Pouwer, F. (2013). The effects of a mindfulness-based intervention on emotional distress, quality of life, and HbA1c in outpatients With diabetes (DiaMind). //Diabetes Care, 36//(4), 823-830. https://doi.org/10.2337/dc12-1477
van Son, J., Nyklicek, I., Pop, V.J., Blonk, M.C., Erdtsieck, R.J., & Pouwer, F. (2014). Mindfulness-based cognitive therapy for people with diabetes and emotional problems: Long-term follow-up findings from the DiaMind randomized controlled trial. //Journal of Psychosomatic Research, 77//(1), 81-84. https://doi.org/10.1016/j.jpsychores.2014.03.013
Raja-Khan, N., Agito, K., Shah, J., Stetter, C.M., Gustafson, T.S., Socolow, H., ... & Legro, R.S. (2015). Mindfulness-based stress reduction for overweight/obese women with and without polycystic ovary syndrome: Design and methods of a pilot randomized controlled trial. //Contemporary Clinical Trials, 41//, 287-297. https://doi.org/10.1016/j.cct.2015.01.021
Luciano, J.V., D'Amico, F., Feliu-Soler, A., McCracken, L.M., Aguado, J., Penarrubia-Maria, M.T., ... & Garcia-Campayo, J. (2017). Cost-utility of group acceptance and commitment therapy for fibromyalgia versus recommended drugs: An economic analysis alongside a 6-month randomized controlled trial conducted in Spain (Effigact study). //Journal of Pain, 18//(7), 868-880. https://doi.org/10.1016/j.jpain.2017.03.001
van Son, J., Nyklicek, I., Pop, V.J.M., & Pouwer, F. (2011). Testing the effectiveness of a mindfulness-based intervention to reduce emotional distress in outpatients with diabetes (DiaMind): Design of a randomized controlled trial. //BMC Public Health, 11//. https://doi.org/10.1186/1471-2458-11-131
Sowattanangoon, N., Kotchabhakdi, N., & Petrie, K.J. (2009). The influence of Thai culture on diabetes perceptions and management. //Diabetes Research and Clinical Practice, 84//(3), 245-251. https://doi.org/10.1016/j.diabres.2009.02.011
Loucks, E.B., Gilman, S.E., Britton, W.B., Gutman, R., Eaton, C.B., & Buka, S.L. (2016). Associations of mindfulness with glucose regulation and diabetes. //American Journal of Health Behavior, 40//(2), 258-267. https://doi.org/10.5993/AJHB.40.2.11
Vinesett, A.L., Whaley, R.R., Woods-Giscombe, C., Dennis, P., Johnson, M., Li, Y., ... & Wilson, K.H. (2017). Modified African Ngoma healing ceremony for stress reduction: A pilot study. //Journal of Alternative and Complementary Medicine, 23//(10), 800-804. https://doi.org/10.1089/acm.2016.0410
Shomaker, L.B., Bruggink, S., Pivarunas, B., Skoranski, A., Foss, J., Chaffin, E., ... & Bell, C. (2017). Pilot randomized controlled trial of a mindfulness-based group intervention in adolescent girls at risk for type 2 diabetes with depressive symptoms. //Complementary Therapies in Medicine, 32//, 66-74. https://doi.org/10.1016/j.ctim.2017.04.003
Dreger, L.C., Mackenzie, C., & McLeod, B. (2015). Acceptability and suitability of mindfulness training for diabetes management in an indigenous community. //Mindfulness, 6//(4). https://doi.org/10.1007/s12671-014-0332-0
Doyle, K., & Hungerford, C. (2015). Leadership as a personal journey: An indigenous perspective. //Issues in Mental Health Nursing, 36//(5), 336-345. https://doi.org/10.3109/01612840.2015.1009663
Jones, K.D., Mist, S.D., Casselberry, M.A., Ali, A., & Christopher, M.S. (2015). Fibromyalgia impact and mindfulness characteristics in 4986 people with fibromyalgia. //Explore: The Journal of Science and Healing, 11//(4), 304-309. https://doi.org/10.1016/j.explore.2015.04.006
Gainey, A., Himathongkam, T., Tanaka, H., & Suksom, D. (2016). Effects of Buddhist walking meditation on glycemic control and vascular function in patients with type 2 diabetes. //Complementary Therapies in Medicine, 26//, 92-97. https://doi.org/10.1016/j.ctim.2016.03.009
Sowattanangoon, N., Kochabhakdi, N., & Petrie, K.J. (2008). Buddhist values are associated with better diabetes control in Thai patients. //International Journal of Psychiatry in Medicine, 38//(4), 481-491. https://doi.org/10.2190/PM.38.4.g
Adler-Neal, A.L., & Zeidan, F. (2017). Mindfulness meditation for fibromyalgia: Mechanistic and clinical considerations. //Current Rheumatology Reports, 19//(9). https://doi.org/10.1007/s11926-017-0686-0
Tak, S.R., Hendrieckx, C., Nefs, G., Nyklicek, I., Speight, J., & Pouwer, F. (2015). The association between types of eating behaviour and dispositional mindfulness in adults with diabetes. results from diabetes miles. the Netherlands. //Appetite, 87//, 288-295. https://doi.org/10.1016/j.appet.2015.01.006
Tovote, K.A., Fleer, J., Snippe, E., Peeters, A.C.T.M., Emmelkamp, P.M.G., Sanderman, R., ... & Schroevers, M.J. (2014). Individual mindfulness-based cognitive therapy and cognitive behavior therapy for treating depressive symptoms in patients with diabetes: Results of a randomized controlled trial. //Diabetes Care, 37//(9), 2427-2434. https://doi.org/10.2337/dc13-2918
Mason, A.E., Epel, E.S., Kristeller, J., Moran, P.J., Dallman, M., Lustig, R.H., ... & Daubenmier, J. (2016). Effects of a mindfulness-based intervention on mindful eating, sweets consumption, and fasting glucose levels in obese adults: Data from the shine randomized controlled trial. //Journal of Behavioral Medicine, 39//(2), 201-213. https://doi.org/10.1007/s10865-015-9692-8
Caluyong, M.B., Zambrana, A.F., Romanow, H.C., Nathan, H.J., Nahas, R., & Poulin, P.A. (2015). The relationship between mindfulness, depression, diabetes self-care, and health-related quality of life in patients with type 2 diabetes. //Mindfulness, 6//(6), 1313–1321. https://doi.org/10.1007/s12671-015-0401-z
Rosenzweig, S., Reibel, D.K., Greeson, J.M., Edman, J.S., Jasser, S.A., McMearty, K.D., ... & Goldstein, B.J. (2007). Mindfulness-based stress reduction is associated with improved glycemic control in type 2 diabetes mellitus: A pilot study. //Alternative Therapies in Health and Medicine, 13//(5), 36-38. http://www.alternative-therapies.com/at/web_pdfs/rosenzweig.pdf
Hartmann, M., Kopf, S., Kircher, C., Faude-Lang, V., Djuric, Z., Augstein, F., ... & Nawroth, P.P. (2012). Sustained Effects of a Mindfulness-Based Stress-Reduction Intervention in Type 2 Diabetic Patients: Design and first results of a randomized controlled trial (the Heidelberger Diabetes and Stress-Study). //Diabetes Care, 35//(5), 945-947. https://doi.org/10.2337/dc11-1343
Robins, J.L., Elswick, R.K., Sturgill, J., & McCain, N.L. (2016). The effects of Tai Chi on cardiovascular risk in women. //American Journal of Health Promotion, 30//(8), 613-622. https://doi.org/10.4278/ajhp.140618-QUAN-287
Shayeghian, Z., Hassanabadi, H., Aguilar-Vafaie, M.E., Amiri, P., & Besharat, M.A. (2016). A randomized controlled trial of acceptance and commitment therapy for type 2 diabetes management: The moderating role of coping styles. //PLOS ONE, 11//(12). https://doi.org/10.1371/journal.pone.0166599
van Son, J., Nyklicek, I., Nefs, G., Speight, J., Pop, V.J., & Pouwer, F. (2015). The association between mindfulness and emotional distress in adults with diabetes: Could mindfulness serve as a buffer? results from diabetes miles: The Netherlands. //Journal of Behavioral Medicine, 38//(2), 251-260. https://doi.org/10.1007/s10865-014-9592-3
Sephton, S.E., Salmon, P., Weissbecker, I., Ulmer, C., Floyd, A., Hoover, K., ... & Studts, J.L. (2007). Mindfulness meditation alleviates depressive symptoms in women with fibromyalgia: Results of a randomized clinical trial. //Arthritis & Rheumatism-arthritis Care & Research, 57//(1), 77-85. https://doi.org/10.1002/art.22478
Raja-Khan, N., Agito, K., Shah, J., Stetter, C.M., Gustafson, T.S., Socolow, H., ... & Legro, R.S. (2017). Mindfulness-based stress reduction in women with overweight or obesity: A randomized clinical trial. //Obesity, 25//(8), 1349-1359. https://doi.org/10.1002/oby.21910
Parra-Delgado, M., & Latorre-Postigo, J.M. (2013). Effectiveness of mindfulness-based cognitive therapy in the treatment of fibromyalgia: A randomised trial. //Cognitive Therapy and Research, 37//(5), 1015-1026. https://doi.org/10.1007/s10608-013-9538-z
Gregg, J.A., Callaghan, G.A., Hayes, S.C., & Glenn-Lawson, J.L. (2007). Improving diabetes self-management through acceptance, mindfulness, and values: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 75//(2), 336-343. https://doi.org/10.1037/0022-006X.75.2.336
Nyklicek, I., van Son, J., Pop, V.J., Denollet, J., & Pouwer, F. (2016). Does Mindfulness-Based Cognitive Therapy benefit all people with diabetes and comorbid emotional complaints equally? Moderators in the DiaMind trial. //Journal of Psychosomatic Research, 91//, 40-47. https://doi.org/10.1016/j.jpsychores.2016.10.009
Kopf, S., Oikonomou, D., Hartmann, M., Feier, F., Faude-Lang, V., Morcos, M., ... & Nawroth, P.P. (2014). Effects of stress reduction on cardiovascular risk factors in Type 2 diabetes patients with early kidney disease – Results of a randomized controlled trial (HEIDIS). //Experimental and Clinical Endocrinology & Diabetes, 122//(6), 341-349. https://doi.org/10.1055/s-0034-1372583
Lush, E., Salmon, P., Floyd, A., Studts, J.L., Weissbecker, I., & Sephton, S.E. (2009). Mindfulness meditation for symptom reduction in fibromyalgia: Psychophysiological correlates. //Journal of Clinical Psychology in medical settings, 16//(2), 200-207. https://doi.org/10.1007/s10880-009-9153-z
Miller, C.K., Kristeller, J.L., Headings, A., & Nagaraja, H. (2014). Comparison of a mindful eating intervention to a diabetes self-management intervention among adults with type 2 diabetes: A randomized controlled trial. //Health Education & behavior, 41//(2), 145-154. https://doi.org/10.1177/1090198113493092
[img[tps78.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Liozu, S.M., & Hinterhuber, A. (2013). Ceo championing of pricing, pricing capabilities and firm performance in industrial firms. //Industrial Marketing Management, 42//(4), 633-643. https://doi.org/10.1016/j.indmarman.2012.09.003
Lyvers, M., Kohlsdorf, S.M., Edwards, M.S., & Thorberg, F.A. (2017). Alexithymia and mood: Recognition of emotion in self and others. //American Journal of Psychology, 130//(1), 83-92. https://doi.org/10.5406/amerjpsyc.130.1.0083
Kong, D.T. (2016). Ostracism perception as a multiplicative function of trait self-esteem, mindfulness, and facial emotion recognition ability. //Personality and Individual Differences, 93//, 68-73. https://doi.org/10.1016/j.paid.2015.08.046
Farb, N.A.S., Anderson, A.K., Bloch, R.T., & Segal, Z.V. (2011). Mood-linked responses in medial prefrontal cortex predict relapse in patients with recurrent unipolar depression. //Biological Psychiatry, 70//(4), 366-372. https://doi.org/10.1016/j.biopsych.2011.03.009
Plambeck, N., & Weber, K. (2009). CEO ambivalence and responses to strategic issues. //Organization Science, 20//(6), 993-1010. https://doi.org/10.1287/orsc.1090.0471
Plambeck, N., & Weber, K. (2010). When the glass is half full and half empty: CEOs' ambivalent interpretations of strategic issues. //Strategic Management Journal, 31//(7), 689-710. https://doi.org/10.1002/smj.835
Haddock, G., Foad, C., Windsor-Shellard, B., Dummel, S., & Adarves-Yorno, I. (2017). On the attitudinal consequences of being mindful: Links between mindfulness and attitudinal ambivalence. //Personality and Social Psychology Bulletin, 43//(4), 439-452. https://doi.org/10.1177/0146167216688204
Forman, E.M., Shaw, J.A., Goldstein, S.P., Butryn, M.L., Martin, L.M., Meiran, N., ... & Manasse, S.M. (2016). Mindful decision making and inhibitory control training as complementary means to decrease snack consumption. //Appetite, 103//, 176-183. https://doi.org/10.1016/j.appet.2016.04.014
Teixeira, R.J., & Pereira, M.G. (2015). Examining mindfulness and its relation to self-differentiation and alexithymia. //Mindfulness, 6//(1), 79-87. https://doi.org/10.1007/s12671-013-0233-7
Joseph, J., & Gaba, V. (2015). The fog of feedback: Ambiguity and firm responses to multiple aspiration levels. //Strategic Management Journal, 36//(13). https://doi.org/10.1002/smj.2333
Erisman, S.M., & Roemer, L. (2010). A preliminary investigation of the effects of experimentally induced mindfulness on emotional responding to film clips. //Emotion, 10//(1), 72-82. https://doi.org/10.1037/a0017162
Stasiewicz, P.R., Bradizza, C.M., Gudleski, G.D., Coffey, S.F., Schlauch, R.C., Bailey, S.T., ... & Gulliver, S.B. (2012). The relationship of alexithymia to emotional dysregulation within an alcohol dependent treatment sample. //Addictive Behaviors, 37//(4), 469-476. https://doi.org/10.1016/j.addbeh.2011.12.011
Molet, M., Macquet, B., Lefebvre, O., & Williams, K.D. (2013). A focused attention intervention for coping with ostracism. //Consciousness and Cognition, 22//(4), 1262-1270. https://doi.org/10.1016/j.concog.2013.08.010
Castro, A., Garcia-Palacios, A., Garcia-Campayo, J., Mayoral, F., Botella, C., Garcia-Herrera, J.M., ... & Gili, M. (2015). Efficacy of low-intensity psychological intervention applied by ICTs for the treatment of depression in primary care: A controlled trial. //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0475-0
Rahinel, R., & Ahluwalia, R. (2015). Attention modes and price importance: How experiencing and mind-wandering influence the prioritization of changeable stimuli. //Journal of Consumer Research, 42//(2), 214-234. https://doi.org/10.1093/jcr/ucv016
Ramsey, A.T., & Jones, E.E. (2015). Minding the interpersonal gap: Mindfulness-based interventions in the prevention of ostracism. //Consciousness and Cognition, 31//, 24-34. https://doi.org/10.1016/j.concog.2014.10.003
Leung, J., Cheung, W.M., & Chu, S.C. (2014). Aligning rfid applications with supply chain strategies. //Information & Management, 51//(2), 260-269. https://doi.org/10.1016/j.im.2013.11.010
Ferscha, A., Farrahi, K., van den Hoven, J., Hales, D., Nowak, A., Lukowicz, P., ... & Helbing, D. (2012). Socio-inspired ICT towards a socially grounded society-ICT symbiosis. //European Physical Journal: Special Topics, 214//(1), 401-434. https://doi.org/10.1140/epjst/e2012-01700-6
Crane, R.S. (2017). Implementing mindfulness in the mainstream: Making the path by walking it. //Mindfulness, 8//(3), 585-594. https://doi.org/10.1007/s12671-016-0632-7
James, K., Verplanken, B., & Rimes, K.A. (2015). Self-criticism as a mediator in the relationship between unhealthy perfectionism and distress. //Personality and Individual Differences, 79//, 123-128. https://doi.org/10.1016/j.paid.2015.01.030
Maparyan, L. (2016). Seeds of light, flowers of power, fruits of change ecowomanism as spiritualized ecological praxis. //Worldviews: Global Religions, Culture and Ecology, 20//(1), 48-63. https://doi.org/10.1163/15685357-02001005
Hazlett-Stevens, H., & Oren, Y. (2017). Effectiveness of mindfulness-based stress reduction bibliotherapy: A preliminary randomized controlled trial. //Journal of Clinical Psychology, 73//(6), 626-637. https://doi.org/10.1002/jclp.22370
Chesley, J., & Wylson, A. (2016). Ambiguity: The emerging impact of mindfulness for change leaders. //Journal of Change Management, 16//(4), 317-336. https://doi.org/10.1080/14697017.2016.1230334
Smoski, M.J., Keng, S.L., Ji, J.L., Moore, T., Minkel, J., & Dichter, G.S. (2015). Neural indicators of emotion regulation via acceptance vs reappraisal in remitted major depressive disorder. //Social Cognitive and Affective Neuroscience, 10//(9), 1187-1194. https://doi.org/10.1093/scan/nsv003
Lalot, F., Delplanque, S., & Sander, D. (2014). Mindful regulation of positive emotions: A comparison with reappraisal and expressive suppression. //Frontiers in Psychology, 5//, 243. https://doi.org/10.3389/fpsyg.2014.00243
McIntosh, R.C., Ironson, G., Antoni, M., Kumar, M., Fletcher, M.A., & Schneiderman, N. (2014). Alexithymia is linked to neurocognitive, psychological, neuroendocrine, and immune dysfunction in persons living with HIV. //Brain Behavior and Immunity, 36//, 165-175. https://doi.org/10.1016/j.bbi.2013.10.024
Maisel, M.E., Stephenson, K.G., South, M., Rodgers, J., Freeston, M.H., & Gaigg, S.B. (2016). Modeling the cognitive mechanisms linking autism symptoms and anxiety in adults. //Journal of Abnormal Psychology, 125//(5), 692-703. https://doi.org/10.1037/abn0000168
[img[tps79.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Feliu-Soler, A., Soler, J., Luciano, J.V., Cebolla, A., Elices, M., Demarzo, M., ... & Garcia-Campayo, J. (2016). Psychometric properties of the Spanish version of the nonattachment scale (NAS) and its relationship with mindfulness, decentering, and mental health. //Mindfulness, 7//(5), 1156-1169. https://doi.org/10.1007/s12671-016-0558-0
Zhang, C.Q., Si, G.Y., Duan, Y.P., Lyu, Y.J., Keatley, D.A., & Chan, D.K.C. (2016). The effects of mindfulness training on beginners' skill acquisition in dart throwing: A randomized controlled trial. //Psychology of Sport and Exercise, 22//, 279-285. https://doi.org/10.1016/j.psychsport.2015.09.005
Ruiz, F.J., Suarez-Falcon, J.C., & Riano-Hernandez, D. (2017). Validity evidence of the Spanish version of the automatic thoughts questionnaire-8 in Colombia. //Spanish Journal of Psychology, 20//, E12. https://doi.org/10.1017/sjp.2017.7
Sahdra, B., Ciarrochi, J., & Parker, P. (2016). Nonattachment and mindfulness: Related but distinct constructs. //Psychological Assessment, 28//(7), 819-829. https://doi.org/10.1037/pas0000264
Schitter, A.M., Nedeljkovic, M., Ausfeld-Hafter, B., & Fleckenstein, J. (2016). Changes in self-reported symptoms of depression and physical well-being in healthy individuals following a Taiji beginner course - Results of a randomized controlled trial. //Brain and Behavior, 6//(4), e00429. https://doi.org/10.1002/brb3.429
Hanley, A., Warner, A., & Garland, E.L. (2015). Associations between mindfulness, psychological well-being, and subjective well-being with respect to contemplative practice. //Journal of Happiness Studies, 16//(6), 1423-1436. https://doi.org/10.1007/s10902-014-9569-5
Rodero, B., Pereira, J.P., Perez-Yus, M.C., Casanueva, B., Serrano-Blanco, A., Ribeiro, M.J.R.D., ... & Garcia-Campayo, J. (2013). Validation of a Spanish version of the psychological inflexibility in pain scale (PIPS) and an evaluation of its relation with acceptance of pain and mindfulness in sample of persons with fibromyalgia. //Health and Quality of Life Outcomes, 11//, 62. https://doi.org/10.1186/1477-7525-11-62
Jacob, J., Jovic, E., & Brinkerhoff, M.B. (2009). Personal and planetary well-being: Mindfulness meditation, pro-environmental behavior and personal quality of life in a survey from the social justice and ecological sustainability movement. //Social Indicators Research, 93//(2), 275-294. https://doi.org/10.1007/s11205-008-9308-6
Ruiz, F.J., Odriozola-Gonzalez, P., & Suarez-Falcon, J.C. (2014). The Spanish version of the believability of anxious feelings and thoughts questionnaire. //Psicothema, 26//(3), 308-313. https://doi.org/10.7334/psicothema2013.221
Iani, L., Lauriola, M., Cafaro, V., & Didonna, F. (2017). Dimensions of mindfulness and their relations with psychological well-being and neuroticism. //Mindfulness, 8//(3), 664-676. https://doi.org/10.1007/s12671-016-0645-2
Jacob, J.C., & Brinkerhoff, M.B. (1999). Mindfulness and subjective well-being in the sustainability movement: A further elaboration of multiple discrepancies theory. //Social Indicators Research, 46//(3), 341-368. https://doi.org/10.1023/A:1006941403481
Nedeljkovic, M., Burgler, C., Wirtz, P.H., Seiler, R., Streitberger, K.M., & Ausfeld-Hafter, B. (2012). Getting started with Taiji: Investigating students expectations and teachers appraisals of Taiji beginners courses. //Evidence-based Complementary and Alternative Medicine, 2012//, 595710. https://doi.org/10.1155/2012/595710
Feng, X.J., Krageloh, C.U., Medvedev, O.N., Billington, D.R., Jang, J.Y., & Siegert, R.J. (2016). Assessing mechanisms of mindfulness: Improving the precision of the Nonattachment Scale using a Rasch model. //Mindfulness, 7//(5), 1082-1091. https://doi.org/10.1007/s12671-016-0546-4
Nedeljkovic, M., Wirtz, P.H., & Ausfeld-Hafter, B. (2012). Effects of Taiji practice on mindfulness and self-compassion in healthy participants-A randomized controlled trial. //Mindfulness, 3//(3), 200-208. https://doi.org/10.1007/s12671-012-0092-7
Ryan, R.M., Huta, V., & Deci, E.L. (2008). Living well: A self-determination theory perspective on Eudaimonia. //Journal of Happiness Studies, 9//(1), 139-170. https://doi.org/10.1007/s10902-006-9023-4
Wild, K.J., Macavei, B., & Podea, D.M. (2017). Acceptance in cognitive behavioral psychotherapies: Different or the same?. //Journal of Rational-emotive and Cognitive-behavior Therapy, 35//(2), 187-206. https://doi.org/10.1007/s10942-016-0250-2
Brown, K.W., Kasser, T., Ryan, R.M., Linley, P.A., & Orzech, K. (2009). When what one has is enough: Mindfulness, financial desire discrepancy, and subjective well-being. //Journal of Research in Personality, 43//(5), 727-736. https://doi.org/10.1016/j.jrp.2009.07.002
Thijssen, S., & Kiehl, K.A. (2017). Functional connectivity in incarcerated male adolescents with psychopathic traits. //Psychiatry Research: Neuroimaging, 265//, 35-44. https://doi.org/10.1016/j.pscychresns.2017.05.005
Sahdra, B.K., Ciarrochi, J., Parker, P.D., Marshall, S., & Heaven, P. (2015). Empathy and nonattachment independently predict peer nominations of prosocial behavior of adolescents. //Frontiers in Psychology, 6//, 263. https://doi.org/10.3389/fpsyg.2015.00263
Singleton, O., Holzel, B.K., Vangel, M., Brach, N., Carmody, J., & Lazar, S.W. (2014). Change in brainstem gray matter concentration following a mindfulness-based intervention is correlated with improvement in psychological well-being. //Frontiers in Human Neuroscience, 8//, 33. https://doi.org/10.3389/fnhum.2014.00033
Sun, X.Y., Chan, D.W., & Chan, L.K. (2016). Self-compassion and psychological well-being among adolescents in Hong Kong: Exploring gender differences. //Personality and Individual Differences, 101//, 288-292. https://doi.org/10.1016/j.paid.2016.06.011
Aguado, J., Luciano, J.V., Cebolla, A., Serrano-Blanco, A., Soler, J., & Garcia-Campayo, J. (2015). Bifactor analysis and construct validity of the five facet mindfulness questionnaire (FFMQ) in non-clinical Spanish samples. //Frontiers in Psychology, 6//, 404. https://doi.org/10.3389/fpsyg.2015.00404
Crane, C., Barnhofer, T., Duggan, D.S., Hepburn, S., Fennell, M.V., & Williams, J.M.G. (2008). Mindfulness-based cognitive therapy and self-discrepancy in recovered depressed patients with a history of depression and suicidality. //Cognitive Therapy and Research, 32//(6), 775-787. https://doi.org/10.1007/s10608-008-9193-y
Wenzel, M., von Versen, C., Hirschmuller, S., & Kubiak, T. (2015). Curb your neuroticism - mindfulness mediates the link between neuroticism and subjective well-being. //Personality and Individual Differences, 80//, 68-75. https://doi.org/10.1016/j.paid.2015.02.020
[img[tps8.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Barratt, C. (2016). Exploring the potential of contemplative pedagogy in health professional education. //Focus on Health Professional Education: A multi-professional Journal, 17//(2), 20-31. http://dx.doi.org/10.11157/fohpe.v17i2.135
Dorjee, D. (2016). Defining contemplative science: The metacognitive self-regulatory capactiy of the mind, context of meditation practice and modes of existential awareness. //Frontiers in Psychology, 7//,1788. https://doi.org/10.3389/fpsyg.2016.01788
Francesconi, D., & Tarozzi, M. (2012). Embodied education: A convergence of phenomenological pedagogy and embodiment. //Studia Phaenomenologica, 12//, 263-288. http://dx.doi.org/10.7761/SP.12.263
Felver, J.C., Jones, R., Killam, M.A., Kryger, C., Race, K., & McIntyre, L.L. (2017). Contemplative intervention reduces physical interventions for children in residential psychiatric treatment. //Prevention Science, 18//(2), 164-173. https://doi.org/10.1007/s11121-016-0720-x
Loizzo, J.J. (2016). The subtle body: An interoceptive map of central nervous system function and meditative mind-brain-body integration. //Annals of the New York Academy of Sciences, 1373//, 78-95. https://doi.org/10.1111/nyas.13065
Ruff, J.C. (2016). //Strange bedfellows//: Meditations on the indispensable virtues of confusion, mindfulness and humor in the neuroscientific and cognitive study of esoteric and contemplative traditions. //Religions, 7//(9). https://doi.org/10.3390/rel7090113
Ergas, O. (2015). The deeper teachings of mindfulness-based "interventions' as a reconstruction of "education'. //Journal of Philosophy of Education, 49//(2), 203-220. https://doi.org/10.1111/1467-9752.12137
Wald, H.S., Anthony, D., Hutchinson, T.A., Liben, S., Smilovitch, M., & Donato, A.A. (2015). Professional identity formation in medical education for humanistic, resilient physicians: Pedagogic strategies for bridging theory to practice. //Academic Medicine, 90//(6), 753-760. https://doi.org/10.1097/ACM.0000000000000725
Holton, J.A., & Grandy, G. (2016). Voiced inner dialogue as relational reflection-on-action: The case of middle managers in health care. //Management Learning, 47//(4), 369-390. https://doi.org/10.1177/1350507616629602
Pyati, A. (2017). Contemplation as educational activism within communication studies. //Canadian Journal of Communication, 42//(1), 67-80. http://dx.doi.org/10.22230/cjc.2017v42n1a3090
Ozawa-de Silva, B. (2016). Contemplative science and secular ethics. //Religions, 7//(8),98. https://doi.org/10.3390/rel7080098
Chari, A. (2016). The political potential of mindful embodiment. //New Political Science, 38//(2), 226-240. https://doi.org/10.1080/07393148.2016.1153192
Schmalzl, L., Crane-Godreau, M.A., & Payne, P. (2014). Movement-based embodied contemplative practices: Definitions and paradigms. //Frontiers in Human Neuroscience, 8//,205. https://doi.org/10.3389/fnhum.2014.00205
Bermudez, J., Krizaj, D., Lipschitz, D.L., Bueler, C.E., Rogowska, J., Yurgelun-Todd, D., ... & Nakamura, Y. (2017). Externally-induced meditative states: An exploratory fMRI study of architects' responses to contemplative architecture. //Frontiers of Architectural Research, 6//(2), 123-136. https://doi.org/10.1016/j.foar.2017.02.002
Adams, P. (2011). From 'ritual' to 'mindfulness': Policy and pedagogic positioning. //Discourse-studies in the Cultural Politics of Education, 32//(1), 57-69. https://doi.org/10.1080/01596306.2011.537071
Hanley, A., Warner, A., & Garland, E.L. (2015). Associations between mindfulness, psychological well-being, and subjective well-being with respect to contemplative practice. //Journal of Happiness Studies, 16//(6), 1423-1436. https://doi.org/10.1007/s10902-014-9569-5
Latta, M.M., Schnellert, L., Ondrik, K., & Sasges, M. (2017). The inspirited nature of mindful curricular enactment's community (re)making. //Journal of Curriculum Studies, 49//(3), 255-272. https://doi.org/10.1080/00220272.2016.1264484
Holland, D. (2006). Contemplative education in unexpected places: Teaching mindfulness in Arkansas and Austria. //Teachers College Record, 108//(9), 1842-1861. https://doi.org/10.1111/j.1467-9620.2006.00764.x
Cebolla, A., Miragall, M., Palomo, P., Llorens, R., Soler, J., Demarzo, M., ... & Banos, R.M. (2016). Embodiment and body awareness in meditators. //Mindfulness, 7//(6), 1297-1305. https://doi.org/10.1007/s12671-016-0569-x
Binnun, N.L., & Tarrasch, R. (2014). Relation between contemplative exercises and an enriched psychology students' experience in a neuroscience course. //Frontiers in Psychology, 5//,1296. https://doi.org/10.3389/fpsyg.2014.01296
Pulkki, J., Bo, D.L., & Varri, V.M. (2017). Environmental education as a lived-body practice? a contemplative pedagogy perspective. //Journal of Philosophy of Education, 51//(1), 214-229. https://doi.org/10.1111/1467-9752.12209
Ergas, O. (2014). Overcoming the philosophy/life, body/mind rift: Demonstrating yoga as embodied-lived-philosophical-practice. //Educational Philosophy and Theory, 46//(1), 74-86. https://doi.org/10.1111/j.1469-5812.2011.00811.x
Ben-Soussan, T.D., Glicksohn, J., & Berkovich-Ohana, A. (2017). Attentional effort, mindfulness, and altered states of consciousness experiences following Quadrato motor training. //Mindfulness, 8//(1), 59-67. https://doi.org/10.1007/s12671-015-0469-5
Loizzo, J. (2014). Meditation research, past, present, and future: Perspectives from the Nalanda contemplative science tradition. //Advances in meditation research: Neuroscience and clinical applications, 1307//, 43-54. https://doi.org/10.1111/nyas.12273
Teng, S.C., & Lien, Y.W. (2016). What Confucius practiced is good for your mind: Examining the effect of a contemplative practice in Confucian tradition on executive functions. //Consciousness and Cognition, 42//, 204-215. https://doi.org/10.1016/j.concog.2016.03.016
Gockel, A., & Deng, X.L. (2016). Mindfulness training as social work pedagogy: Exploring benefits, challenges, and issues for consideration in integrating mindfulness into social work education. //Journal of Religion and Spirituality in Social Work, 35//(3), 222-244. https://doi.org/10.1080/15426432.2016.1187106
Kuttner, R. (2012). Cultivating dialogue: From fragmentation to relationality in conflict interaction. //Negotiation Journal, 28//(3), 315-335. https://doi.org/10.1111/j.1571-9979.2012.00342.x
Klatt, M.D. (2017). A contemplative tool: An exposé of the performance of self. //Journal of Transformative Education, 15//(2), 122-136. https://doi.org/10.1177/1541344616683280
Grandy, G., & Sliwa, M. (2017). Contemplative leadership: The possibilities for the ethics of leadership theory and practice. //Journal of Business Ethics, 143//(3), 423-440. https://doi.org/10.1007/s10551-015-2802-2
Alfieri, A.V. (2012). Educating lawyers for community. //Wisconsin Law Review, 2012//, 115-158. http://dx.doi.org/10.2139/ssrn.1991160
Desbordes, G., Gard, T., Hoge, E.A., Holzel, B., Kerr, C., Lazar, S.W., ... & Vago, D.R. (2015). Moving beyond mindfulness: Defining equanimity as an outcome measure in meditation and contemplative research. //Mindfulness, 6//(2), 356-372. https://doi.org/10.1007/s12671-013-0269-8
Roeser, R., & Zelazo, P.D. (2012). Contemplative science, education and child development: Introduction to the special section. //Child Development perspectives, 6//(2), 143-145. https://doi.org/10.1111/j.1750-8606.2012.00242.x
D'Cruz, H., & Gillingham, P. (2017). Participatory research ideals and practice experience: Reflections and analysis. //Journal of Social Work, 17//(4), 434-452. https://doi.org/10.1177/1468017316644704
Blom, R., & Lu, C.L. (2016). Contextualising postmodernity in Daoist symbolism: Toward a mindful education embracing Eastern wisdom. //Educational Philosophy and Theory, 48//(12), 1266-1283. https://doi.org/10.1080/00131857.2016.1190266
O'Donnell, A. (2015). Contemplative pedagogy and mindfulness: Developing creative attention in an age of distraction. //Journal of Philosophy of Education, 49//(2), 187-202. https://doi.org/10.1111/1467-9752.12136
Farb, N., Daubenmier, J., Price, C.J., Gard, T., Kerr, C., Dunn, B.D., ... & Mehling, W.E. (2015). Interoception, contemplative practice, and health. //Frontiers in Psychology, 6//,763. https://doi.org/10.3389/fpsyg.2015.00763
Ergas, O. (2016). Educating the wandering mind: Pedagogical mechanisms of mindfulness for a curricular blind spot. //Journal of Transformative Education, 14//(2), 98-119. https://doi.org/10.1177/1541344615611258
Scott, C., & Tuana, N. (2016). An infused dialogue, Part 2: The power of love without objectivity. //Journal of Speculative Philosophy, 30//(1), 15-26. https://doi.org/10.5325/jspecphil.30.1.0015
Healey, K. (2015). Contemplative media studies. //Religions, 6//(3). https://doi.org/10.3390/rel6030948
Slavin, S.J., Schindler, D.L., & Chibnall, J.T. (2014). Medical student mental health 3.0: Improving student wellness through curricular changes. //Academic Medicine, 89//(4), 573-577. https://doi.org/10.1097/ACM.0000000000000166
Willgens, A.M. (2016). Considering the oneness: Reviewing Valerie J. Janesick's contemplative qualitative inquiry: Practicing the Zen of research mindfully. //Qualitative Report, 21//(5), 914-915. https://nsuworks.nova.edu/tqr/vol21/iss5/9
Russell, L.D. (2017). Reflexive encounters with embodied resistance to relational forgiveness. //Reflective Practice, 18//(2), 183-193. https://doi.org/10.1080/14623943.2016.1265494
Tonnesvang, J., Sommer, U., Hammink, J., & Sonne, M. (2010). Gestalt therapy and cognitive therapy-contrasts or complementarities? //Psychotherapy, 47//(4), 586-602. https://doi.org/10.1037/a0021185
Virtbauer, G. (2016). Presencing process: Embodiment and healing in the Buddhist practice of mindfulness of breathing. //Mental Health Religion & Culture, 19//(1), 68-81. https://doi.org/10.1080/13674676.2015.1115474
Rappert, B., Colombetti, G., & Coopmans, C. (2017). What is absent from contemplative neuroscience? Rethinking limits within the study of consciousness, experience, and meditation. //Journal of Consciousness Studies, 24//(5-6), 199-225. http://hdl.handle.net/10871/25464
Rova, M. (2017). Embodying kinaesthetic empathy through interdisciplinary practice-based research. //Arts in Psychotherapy, 55//, 164-173. https://doi.org/10.1016/j.aip.2017.04.008
Bornemann, B., Herbert, B.M., Mehling, W.E., & Singer, T. (2015). Differential changes in self-reported aspects of interoceptive awareness through 3 months of contemplative training. //Frontiers in Psychology, 5//,1504. https://doi.org/10.3389/fpsyg.2014.01504
Lord, S.A. (2010). Meditative dialogue: Cultivating sacred space in psychotherapy - an intersubjective fourth?//Smith College Studies in Social Work, 80//(42769), 269-285. https://doi.org/10.1080/00377311003754187
Whitesman, S., & Mash, R. (2016). Examining the effects of a mindfulness-based distance learning professional training module on personal and professional functioning: A qualitative study. //BMC Medical Education, 16//, 287. https://doi.org/10.1186/s12909-016-0810-2
Hall, M.P., O'Hare, A., Santavicca, N., & Jones, L.F. (2015). The power of deep reading and mindful literacy: An innovative approach in contemporary education. //Innovacion Educativa-Mexico, 15//(67), 49-59. http://www.scielo.org.mx/pdf/ie/v15n67/v15n67a4.pdf
Narayanan, V.H. (2016). Revisiting the self: A //sine qua non// for understanding embodiment. //AI & Society, 31//(1), 79-84. https://doi.org/10.1007/s00146-014-0574-3
Fiske, E.A. (2017). Contemplative activities in undergraduate nursing courses. //Journal of Nursing Education, 56//(6), 376-380. https://doi.org/10.3928/01484834-20170518-12
O'Toole, C. (2017). Towards dynamic and interdisciplinary frameworks for school-based mental health promotion. //Health Education, 117//(5), 452-468. https://doi.org/10.1108/HE-11-2016-0058
Garcia, A.F. (2015). Beyond theory: Martin Buber's //i and thou// and the role of contemplation in integrated relational counseling. //Journal of Creativity in Mental Health, 10//(4), 423-438. https://doi.org/10.1080/15401383.2015.1094435
Lee, J.J., & Himmelheber, S.A. (2016). Field education in the present moment: Evaluating a 14-week pedagogical model to increase mindfulness practice. //Journal of Social Work education, 52//(4), 473-483. https://doi.org/10.1080/10437797.2016.1215274
Brendel, W., & Bennett, C. (2016). Learning to embody leadership through mindfulness and somatics practice. //Advances in Developing Human Resources, 18//(3), 409-425. https://doi.org/10.1177/1523422316646068
Lord, S.A. (2017). Mindfulness and spirituality in couple therapy: The use of meditative dialogue to help couples develop compassion and empathy for themselves and each other. //Australian and New Zealand Journal of Family Therapy, 38//(1), 98-114. https://doi.org/10.1002/anzf.1201
Hanley, A.W., Peterson, G.W., Canto, A.I., & Garland, E.L. (2015). The relationship between mindfulness and posttraumatic growth with respect to contemplative practice engagement. //Mindfulness, 6//(3), 654-662. https://doi.org/10.1007/s12671-014-0302-6
de Castro, J.M. (2015). Meditation has stronger relationships with mindfulness, kundalini, and mystical experiences than yoga or prayer. //Consciousness and Cognition, 35//, 115-127. https://doi.org/10.1016/j.concog.2015.04.022
Smith, S.E., Barnes, E.S., Mason, J., & Broome, J. (2016). Place, workplace, and mindful movement. //Learning Communities-international Journal of Learning in Social Contexts, 20//, 4-19. http://doi.org/10.18793/LCJ2016.20.02
Bornemann, B., & Singer, T. (2017). Taking time to feel our body: Steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. //Psychophysiology, 54//(3), 469-482. https://doi.org/10.1111/psyp.12790
Narayanan, V.H. (2016). Voice in the head: The road ahead. //Journal of Indian Council of Philosophical Research, 33//(2), 265-280. https://doi.org/10.1007/s40961-016-0057-7
Michalak, J., Burg, J., & Heidenreich, T. (2012). Don't forget your body: Mindfulness, embodiment, and the treatment of depression. //Mindfulness, 3//(3), 190-199. https://doi.org/10.1007/s12671-012-0107-4
Wahler, R.G., Singh, J., & Singh, N.N. (2009). Parents' autobiographical narratives: Setting events for their contemplation of mindful changes. //Journal of Child and Family Studies, 18//(5), 520-529. https://doi.org/10.1007/s10826-008-9254-6
Kharlas, D.A., & Frewen, P. (2016). Trait mindfulness correlates with individual differences in multisensory imagery vividness. //Personality and Individual Differences, 93//, 44-50. https://doi.org/10.1016/j.paid.2015.09.027
Moll, S.E., Gewurtz, R.E., Krupa, T.M., Law, M.C., Lariviere, N., & Levasseur, M. (2015). Do-live-well: A Canadian framework for promoting occupation, health, and well-being. //Canadian Journal of Occupational Therapy-Revue Canadienne D Ergotherapie, 82//(1), 9-23. https://doi.org/10.1177/0008417414545981
Roth, H.D. (2006). Contemplative studies: Prospects for a new field. //Teachers College Record, 108//(9), 1787-1815. https://doi.org/10.1111/j.1467-9620.2006.00762.x
Shapiro, S.L., Lyons, K.E., Miller, R.C., Butler, B., Vieten, C., & Zelazo, P.D. (2015). Contemplation in the classroom: A new direction for improving childhood education. //Educational Psychology review, 27//(1), 1-30. https://doi.org/10.1007/s10648-014-9265-3
Baird, B., Mrazek, M.D., Phillips, D.T., & Schooler, J.W. (2014). Domain-specific enhancement of metacognitive ability following meditation training. //Journal of Experimental Psychology: General, 143//(5), 1972-1979. https://doi.org/10.1037/a0036882
McWilliams, S. (2014). Foundations of mindfulness and contemplation: Traditional and contemporary perspectives. //International Journal of Mental Health and Addiction, 12//(2), 116-128. https://doi.org/10.1007/s11469-014-9486-1
Hanley, A.W., Mehling, W.E., & Garland, E.L. (2017). Holding the body in mind: Interoceptive awareness, dispositional mindfulness and psychological well-being. //Journal of Psychosomatic Research, 99//, 13-20. https://doi.org/10.1016/j.jpsychores.2017.05.014
Leigh, J. (2016). An embodied perspective on judgements of written reflective practice for professional development in higher education. //Reflective Practice, 17//(1), 72-85. https://doi.org/10.1080/14623943.2015.1123688
Lord, S.A. (2015). Meditative dialogue: Tuning in to the music of family therapy. //Journal of Family Therapy, 37//(3), 267-285. https://doi.org/10.1111/j.1467-6427.2012.00594.x
Davidson, R., Dunne, J., Eccles, J.S., Engle, A., Greenberg, M., Jennings, P., ... & Vago, D. (2012). Contemplative practices and mental training: Prospects for American education. //Child Development perspectives, 6//(2), 146-153. https://doi.org/10.1111/j.1750-8606.2012.00240.x
Fiske, E. (2017). Contemplative practices, self-efficacy, and NCLEX-RN success. //Nurse Educator, 42//(3), 159-161. https://doi.org/10.1097/NNE.0000000000000327
Bach, J.M., & Guse, T. (2015). The effect of contemplation and meditation on 'great compassion' on the psychological well-being of adolescents. //Journal of Positive Psychology, 10//(4), 359-369. https://doi.org/10.1080/17439760.2014.965268
Loizzo, J.J., Peterson, J.C., Charlson, M.E., Wolf, E.J., Altemus, M., Briggs, W.M., ... & Caputo, T.A. (2010). The effect of a contemplative self-healing program on quality of life in women with breast and gynecologic cancers. //Alternative Therapies in Health and Medicine, 16//(3), 30-37.
Bingaman, K.A. (2016). Incorporating contemplative neuroscience and mindfulness-based therapies into pastoral care and counseling: A critical correlational method. //Pastoral Psychology, 65//(6), 759-772. https://doi.org/10.1007/s11089-016-0719-z
Lozada, M., D'Adamo, P., & Carro, N. (2014). Plasticity of altruistic behavior in children. //Journal of Moral Education, 43//(1), 75-88. https://doi.org/10.1080/03057240.2013.878244
Greenberg, M.T., & Harris, A.R. (2012). Nurturing mindfulness in children and youth: Current state of research. //Child Development perspectives, 6//(2), 161-166. https://doi.org/10.1111/j.1750-8606.2011.00215.x
Trahar, S., & Hyland, F. (2011). Experiences and perceptions of internationalisation in higher education in the UK. //Higher Education Research & Development, 30//(5), 623-633. https://doi.org/10.1080/07294360.2011.598452
Lord, S. (2015). Meditative dialogue: Cultivating the transformative theater of psychotherapy. //Psychoanalytic Social Work, 22//(1), 71-87. https://doi.org/10.1080/15228878.2013.877395
Doran, N.J. (2014). Experiencing wellness within illness: Exploring a mindfulness-based approach to chronic back pain. //Qualitative Health Research, 24//(6), 749-760. https://doi.org/10.1177/1049732314529662
Bush, M. (2011). Mindfulness in higher education. //Contemporary Buddhism, 12//(1), 183-197. https://doi.org/10.1080/14639947.2011.564838
Lindahl, J.R., Fisher, N.E., Cooper, D.J., Rosen, R.K., & Britton, W.B. (2017). The varieties of contemplative experience: A mixed-methods study of meditation-related challenges in western Buddhists. //PLOS ONE, 12//(5). https://doi.org/10.1371/journal.pone.0176239
Berkovich-Ohana, A., & Glicksohn, J. (2017). Meditation, absorption, transcendent experience, and affect: Tying it all together via the Consciousness State Space (CSS) model. //Mindfulness, 8//(1), 68-77. https://doi.org/10.1007/s12671-015-0481-9
Kemeny, M.E., Foltz, C., Cavanagh, J.F., Cullen, M., Giese-Davis, J., Jennings, P., ... & Ekman, P. (2012). Contemplative/emotion training reduces negative emotional behavior and promotes prosocial responses. //Emotion, 12//(2), 338-350. https://doi.org/10.1037/a0026118
Selvam, S.G. (2015). Character strengths in the context of Christian contemplative practice facilitating recovery from alcohol misuse: Two case studies. //Journal of Spirituality in Mental Health, 17//(3), 190-211. https://doi.org/10.1080/19349637.2015.1053302
Dalal, N. (2015). Responding to plagiarism using reflective means. //International Journal for Educational Integrity, 11//, 4. https://doi.org/10.1007/s40979-015-0002-6
Lindahl, J.R., Kaplan, C.T., Winget, E.M., & Britton, W.B. (2014). A phenomenology of meditation-induced light experiences: Traditional Buddhist and neurobiological perspectives. //Frontiers in Psychology, 4//, 973. https://doi.org/10.3389/fpsyg.2013.00973
Loizzo, J., Charlson, M., & Peterson, J. (2009). A program in contemplative self-healing stress, allostasis, and learning in the Indo-Tibetan tradition. //Annals of the New York Academy of Science, 1172//, 123-147. https://doi.org/10.1111/j.1749-6632.2009.04398.x
Brown, C.A., & Jones, A.K.P. (2010). Meditation experience predicts less negative appraisal of pain: Electrophysiological evidence for the involvement of anticipatory neural responses. //Pain, 150//(3), 428-438. https://doi.org/10.1016/j.pain.2010.04.017
Meinlschmidt, G., Lee, J.H., Stalujanis, E., Belardi, A., Oh, M., Jung, E.K., ... & Tegethoff, M. (2016). Smartphone-based psychotherapeutic micro-interventions to improve mood in a real-world setting. //Frontiers in Psychology, 7//, 1112. https://doi.org/10.3389/fpsyg.2016.01112
Michalak, J., Troje, N.F., & Heidenreich, T. (2011). The effects of mindfulness-based cognitive therapy on depressive gait patterns. //Journal of Cognitive and Behavioral Psychotherapies, 11//(1), 13-27. https://pdfs.semanticscholar.org/81d7/686307ecaaee7ca15256c07554059c34b048.pdf
[img[tps80.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Edmonds, J., Masuda, A., & Tully, E.C. (2014). Relations among self-concealment, mindfulness, and internalizing problems. //Mindfulness, 5//(5), 497-504. https://doi.org/10.1007/s12671-013-0204-z
Eisendrath, S.J., Gillung, E.P., Delucchi, K.L., Chartier, M., Mathalon, D.H., Sullivan, J.C., ... & Feldman, M.D. (2014). Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: A randomized control trial study protocol. //BMC Complementary and Alternative Medicine, 14//, 95. https://doi.org/10.1186/1472-6882-14-95
McHugh, L., Procter, J., Herzog, M., Schock, A.K., & Reed, P. (2012). The effect of mindfulness on extinction and behavioral resurgence. //Learning & Behavior, 40//(4), 405-415. https://doi.org/10.3758/s13420-011-0062-2
Janz, P., Pepping, C.A., & Halford, W.K. (2015). Individual differences in dispositional mindfulness and initial romantic attraction: A speed dating experiment. //Personality and Individual Differences, 82//, 14-19. https://doi.org/10.1016/j.paid.2015.02.025
Holzel, B.K., Brunsch, V., Gard, T., Greve, D.N., Koch, K., Sorg, C., ... & Milad, M.R. (2016). Mindfulness-based stress reduction, fear conditioning, and the uncinate fasciculus: A pilot study. //Frontiers in Behavioral Neuroscience, 10//, 124. https://doi.org/10.3389/fnbeh.2016.00124
Witkiewitz, K., Greenfield, B.L., & Bowen, S. (2013). Mindfulness-based relapse prevention with racial and ethnic minority women. //Addictive Behaviors, 38//(12), 2821-2824. https://doi.org/10.1016/j.addbeh.2013.08.018
Brankovic, E., Hadzikadunic, M., & Mihajlo, M. (2017). Intrinsic motivation and autotelic activity in students. //Kinesiologia Slovenica, 23//(1), 14-24.
Eisendrath, S.J., Gillung, E., Delucchi, K.L., Segal, Z.V., Nelson, J.C., McInnes, L.A., ... & Feldman, M.D. (2016). A randomized controlled trial of mindfulness-based cognitive therapy for treatment-resistant depression. //Psychotherapy and Psychosomatics, 85//(2), 99-110. https://doi.org/10.1159/000442260
Masuda, A., Tully, E.C., Drake, C.E., Tarantino, N., Ames, A.M., & Larson, D.G. (2017). Examining self-concealment within the framework of psychological inflexibility and mindfulness: A preliminary cross-sectional investigation. //Current Psychology, 36//(1), 184-191. https://doi.org/10.1007/s12144-015-9399-6
Fung, J., Guo, S.S., Jin, J., Bear, L., & Lau, A. (2016). A pilot randomized trial evaluating a school-based mindfulness intervention for ethnic minority youth. //Mindfulness, 7//(4), 819-828. https://doi.org/10.1007/s12671-016-0519-7
Tan, E.S.N., & Yarhouse, M.A. (2010). Facilitating congruence between religious beliefs and sexual identity with mindfulness. //Psychotherapy, 47//(4), 500-511. https://doi.org/10.1037/a0022081
Leong, F.T.L., & Kalibatseva, Z. (2011). Effective psychotherapy for Asian Americans: From cultural accommodation to cultural congruence. //Clinical Psychology Science and Practice, 18//(3), 242-245. https://doi.org/10.1111/j.1468-2850.2011.01256.x
Eisendrath, S., Chartier, M., & McLane, M. (2011). Adapting mindfulness-based cognitive therapy for treatment-resistant depression. //Cognitive and Behavioral Practice, 18//(3), 362-370. https://doi.org/10.1016/j.cbpra.2010.05.004
Hall, G.C.N., Hong, J.J., Zane, N.W.S., & Meyer, O.L. (2011). Culturally competent treatments for Asian Americans: The relevance of mindfulness and acceptance-based psychotherapies. //Clinical Psychology Science and Practice, 18//(3), 215-231. https://doi.org/10.1111/j.1468-2850.2011.01253.x
Chesin, M.S., & Jeglic, E.L. (2016). Factors associated with recurrent suicidal ideation among racially and ethnically diverse college students with a history of suicide attempt: The role of mindfulness. //Archives of Suicide Research, 20//(1), 29-44. https://doi.org/10.1080/13811118.2015.1004488
Moukaddam, N., Hashmi, A.M., & Nguyen, P. (2016). Use of psychotherapy in treatment-resistant depression. //Psychiatric Annals, 46//(4), 230-235. https://doi.org/10.3928/00485713-20160217-01
Womack, V.Y., & Sloan, L.R. (2017). The association of mindfulness and racial socialization messages on approach-oriented coping strategies among African Americans. //Journal of Black Studies, 48//(4), 408-426. https://doi.org/10.1177/0021934717696789
Raheim, S., & Lu, J.J. (2014). Preparing MSW students for integrative mind-body-spirit practice. //Clinical Social Work Journal, 42//(3), 288-301. https://doi.org/10.1007/s10615-014-0484-3
Gloster, A.T., Sonntag, R., Hoyer, J., Meyer, A.H., Heinze, S., Strohle, A., ... & Wittchen, H.U. (2015). Treating treatment-resistant patients with panic disorder and agoraphobia using psychotherapy: A randomized controlled switching trial. //Psychotherapy and Psychosomatics, 84//(2), 100-109. https://doi.org/10.1159/000370162
Bergfeld, J.R., & Chiu, E.Y. (2017). Mediators in the relationship between minority stress and depression among young same-sex attracted women. //Professional Psychology-research and Practice, 48//(5), 294-300. https://doi.org/10.1037/pro0000155
Cladder-Micus, M.B., Vrijsen, J.N., Becker, E.S., Donders, R., Spijker, J., & Speckens, A.E.M. (2015). A randomized controlled trial of mindfulness-based cognitive therapy (MBCT) versus treatment-as-usual (TAU) for chronic, treatment-resistant depression: Study protocol. //BMC Psychiatry, 15//, 275. https://doi.org/10.1186/s12888-015-0647-y
Schofield, T.P., Creswell, J.D., & Denson, T.F. (2015). Brief mindfulness induction reduces inattentional blindness. //Consciousness and Cognition, 37//, 63-70. https://doi.org/10.1016/j.concog.2015.08.007
Schomaker, S.A., & Ricard, R.J. (2015). Effect of a mindfulness-based intervention on counselor-client attunement. //Journal of Counseling and Development, 93//(4), 491-498. https://doi.org/10.1002/jcad.12047
Hwang, W.C. (2011). Cultural adaptations: A complex interplay between clinical and cultural issues. //Clinical Psychology-science and Practice, 18//(3), 238-241. https://doi.org/10.1111/j.1468-2850.2011.01255.x
Lillis, J., & Hayes, S.C. (2007). Applying acceptance, mindfulness, and values to the reduction of prejudice: A pilot study. //Behavior Modification, 31//(4), 389-411. https://doi.org/10.1177/0145445506298413
Borders, A., & Liang, C.T.H. (2011). Rumination partially mediates the associations between perceived ethnic discrimination, emotional distress, and aggression. //Cultural Diversity & Ethnic Minority Psychology, 17//(2), 125-133. https://doi.org/10.1037/a0023357
MacCoon, D.G., MacLean, K.A., Davidson, R.J., Saron, C.D., & Lutz, A. (2014). No sustained attention differences in a longitudinal randomized trial comparing mindfulness based stress reduction versus active control. //PLOS ONE, 9//(6), e97551. https://doi.org/10.1371/journal.pone.0097551
Fitzpatrick, M., Henson, A., Grumet, R., Poolokasingham, G., Foa, C., Comeau, T., ... & Prendergast, C. (2016). Challenge, focus, inspiration and support: Clarification and congruence. //Journal of Contextual Behavioral Science, 5//(1), 7-15. https://doi.org/10.1016/j.jcbs.2016.02.001
Sobczak, L.R., & West, L.M. (2013). Clinical considerations in using mindfulness- and acceptance-based approaches with diverse populations: Addressing challenges in service delivery in diverse community settings. //Cognitive and Behavioral Practice, 20//(1), 13-22. https://doi.org/10.1016/j.cbpra.2011.08.005
Hunsinger, M., Livingston, R., & Isbell, L. (2014). Spirituality and intergroup harmony: Meditation and racial prejudice. //Mindfulness, 5//(2), 139-144. https://doi.org/10.1007/s12671-012-0159-5
Sutton, A. (2016). Measuring the effects of self-awareness: Construction of the self-awareness outcomes questionnaire. //Europe’s Journal of Psychology, 12//(4), 645-658. https://doi.org/10.5964/ejop.v12i4.1178
Le, T.N., & Proulx, J. (2015). Feasibility of mindfulness-based intervention for incarcerated mixed-ethnic Native Hawaiian/Pacific Islander youth. //Asian American Journal of Psychology, 6//(2), 181-189. https://doi.org/10.1037/aap0000019
Gaztambide, D.J. (2012). Addressing cultural impasses with rupture resolution strategies: A proposal and recommendations. //Professional Psychology: Research and Practice, 43//(3), 183-189. https://doi.org/10.1037/a0026911
Masuda, A., Mandavia, A., & Tully, E.C. (2014). The role of psychological inflexibility and mindfulness in somatization, depression, and anxiety among Asian Americans in the united states. //Asian American Journal of Psychology, 5//(3), 230-236. https://doi.org/10.1037/a0034437
Koole, S.L., Govorun, O., Cheng, C.M., & Gallucci, M. (2009). Pulling yourself together: Meditation promotes congruence between implicit and explicit self-esteem. //Journal of Experimental Social Psychology, 45//(6), 1220-1226. https://doi.org/10.1016/j.jesp.2009.05.018
Hansen, N.V., Braendgaard, P., Hjornholm, C., & la Cour, S. (2014). Qualitative research building real-life interventions: User-involving development of a mindfulness-based lifestyle change support program for overweight citizens. //European Journal of Clinical Nutrition, 68//(10), 1129-1133. https://doi.org/10.1038/ejcn.2014.106
Schlieter, J. (2017). Buddhist insight meditation (Vipassanā) and Jon Kabat-Zinn’s “Mindfulness-based Stress Reduction”: An example of dedifferentiation of religion and medicine?. //Journal of Contemporary Religion, 32//(3), 447-463. https://doi.org/10.1080/13537903.2017.1362884
Papies, E.K., Pronk, T.M., Keesman, M., & Barsalou, L.W. (2015). The benefits of simply observing: Mindful attention modulates the link between motivation and behavior. //Journal of Personality and Social Psychology, 108//(1), 148-170. https://doi.org/10.1037/a0038032
Bluth, K., Campo, R.A., Pruteanu-Malinici, S., Reams, A., Mullarkey, M., & Broderick, P.C. (2016). A school-based mindfulness pilot study for ethnically diverse at-risk adolescents. //Mindfulness, 7//(1), 90-104. https://doi.org/10.1007/s12671-014-0376-1
[img[tps81.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Erskine, J.A.K., Georgiou, G.J., Joshi, M., Deans, A., & Colegate, C. (2017). Ageing and thought suppression performance: Its relationship with working memory capacity, habitual thought suppression and mindfulness. //Consciousness and Cognition, 53//, 211-221. https://doi.org/10.1016/j.concog.2017.06.019
Veehof, M.M., ten Klooster, P.M., Taal, E., Westerhof, G.J., & Bohlmeijer, E.T. (2011). Psychometric properties of the Dutch Five Facet Mindfulness Questionnaire (FFMQ) in patients with fibromyalgia. //Clinical Rheumatology, 30//(8), 1045-1054. https://doi.org/10.1007/s10067-011-1690-9
Aguado, J., Luciano, J.V., Cebolla, A., Serrano-Blanco, A., Soler, J., & Garcia-Campayo, J. (2015). Bifactor analysis and construct validity of the Five Facet Mindfulness Questionnaire (FFMQ) in non-clinical Spanish samples. //Frontiers in Psychology, 6//, 404. https://doi.org/10.3389/fpsyg.2015.00404
Wang, L.Q., Chien, W.T., Yip, L.K., & Karatzias, T. (2016). A randomized controlled trial of a mindfulness-based intervention program for people with schizophrenia: 6-month follow-up. //Neuropsychiatric Disease and Treatment, 12//, 3097-3110. https://doi.org/10.2147/NDT.S123239
Lilja, J.L., Lundh, L.G., Josefsson, T., & Falkenstrom, F. (2013). Observing as an essential facet of mindfulness: A comparison of FFMQ patterns in meditating and non-meditating individuals. //Mindfulness, 4//(3), 203-212. https://doi.org/10.1007/s12671-012-0111-8
Tabak, N.T., Green, M.F., Wynn, J.K., Proudfit, G.H., Altshuler, L., & Horan, W.P. (2015). Perceived emotional intelligence is impaired and associated with poor community functioning in schizophrenia and bipolar disorder. //Schizophrenia Research, 162//(1-3), 189-195. https://doi.org/10.1016/j.schres.2014.12.005
Smets, J., Luyckx, K., Wessel, I., & Raes, F. (2012). Depressed mood mediates the relationship between rumination and intrusions. //Australian Journal of Psychology, 64//(4), 209-216. https://doi.org/10.1111/j.1742-9536.2012.00056.x
Solati, K. (2017). The efficacy of mindfulness-based cognitive therapy on resilience among the wives of patients with schizophrenia. //Journal of Clinical and Diagnostic Research, 11//(4), VC1-VC3. https://doi.org/10.7860/JCDR/2017/23101.9514
Jha, A.P., Stanley, E.A., Kiyonaga, A., Wong, L., & Gelfand, L. (2010). Examining the protective effects of mindfulness training on working memory capacity and affective experience. //Emotion, 10//(1), 54-64. https://doi.org/10.1037/a0018438
Gu, J., Strauss, C., Crane, C., Barnhofer, T., Karl, A., Cavanagh, K., ... & Kuyken, W. (2016). Examining the factor structure of the 39-item and 15-item versions of the Five Facet Mindfulness Questionnaire before and after mindfulness-based cognitive therapy for people with recurrent depression. //Psychological Assessment, 28//(7), 791-802. https://doi.org/10.1037/pas0000263
Soler, J., Cebolla, A., Feliu-Soler, A., Demarzo, M.M.P., Pascual, J.C., Banos, R., ... & Garcia-Campayo, J. (2014). Relationship between meditative practice and self-reported mindfulness: The MINDSENS composite index. //PLOS ONE, 9//(1), e86622. https://doi.org/10.1371/journal.pone.0086622
Speckens, A.E.M., Ehlers, A., Hackmann, A., Ruths, F.A., & Clark, D.M. (2007). Intrusive memories and rumination in patients with post-traumatic stress disorder: A phenomenological comparison. //Memory, 15//(3), 249-257. https://doi.org/10.1080/09658210701256449
Bohlmeijer, E., ten Klooster, P.M., Fledderus, M., Veehof, M., & Baer, R. (2011). Psychometric properties of the Five Facet Mindfulness Questionnaire in depressed adults and development of a short form. //Assessment, 18//(3), 308-320. https://doi.org/10.1177/1073191111408231
McManus, F., Muse, K., Surawy, C., Hackmann, A., & Williams, J.M.G. (2015). Relating differently to intrusive images: The impact of mindfulness-based cognitive therapy (MBCT) on intrusive images in patients with severe health anxiety (Hypochondriasis). //Mindfulness, 6//(4), 788-796. https://doi.org/10.1007/s12671-014-0318-y
Shonin, E., Van Gordon, W., & Griffiths, M. (2014). Cognitive behavioral therapy (CBT) and meditation awareness training (MAT) for the treatment of co-occurring schizophrenia and pathological gambling: A case study. //International Journal of Mental Health and Addiction, 12//(2), 181-196. https://doi.org/10.1007/s11469-013-9460-3
de Bruin, E.I., Topper, M., Muskens, J.G.A.M., Bogels, S.M., & Kamphuis, J.H. (2012). Psychometric properties of the Five Facets Mindfulness Questionnaire (FFMQ) in a meditating and a non-meditating sample. //Assessment, 19//(2), 187-197. https://doi.org/10.1177/1073191112446654
Adam, F., Heeren, A., Day, J., & de Sutter, P. (2015). Development of the Sexual Five-Facet Mindfulness Questionnaire (FFMQ-S): Validation among a community sample of French-speaking women. //Journal of Sex Research, 52//(6), 617-626. https://doi.org/10.1080/00224499.2014.894490
Williams, M.J., Dalgleish, T., Karl, A., & Kuyken, W. (2014). Examining the factor structures of the Five Facet Mindfulness Questionnaire and the Self-compassion Scale. //Psychological Assessment, 26//(2), 407-418. https://doi.org/10.1037/a0035566
Chien, W.T., & Thompson, D.R. (2014). Effects of a mindfulness-based psychoeducation programme for Chinese patients with schizophrenia: 2-year follow-up. //British Journal of Psychiatry, 205//(1), 52-59. https://doi.org/10.1192/bjp.bp.113.134635
Goldberg, S.B., Wielgosz, J., Dahl, C., Schuyler, B., MacCoon, D.S., Rosenkranz, M., ... & Davidson, R.J. (2016). Does the Five Facet Mindfulness Questionnaire measure what we think it does? Construct validity evidence from an active controlled randomized clinical trial. //Psychological Assessment, 28//(8), 1009-1014. https://doi.org/10.1037/pas0000233
Bosanac, P., & Castle, D. (2015). How should we manage anxiety in patients with schizophrenia?. //Australasian Psychiatry, 23//(4), 374-377. https://doi.org/10.1177/1039856215588207
Ainsworth, B., Bolderston, H., & Garner, M. (2017). Testing the differential effects of acceptance and attention-based psychological interventions on intrusive thoughts and worry. //Behaviour Research and Therapy, 91//, 72-77. https://doi.org/10.1016/j.brat.2017.01.012
Dundas, I., Vollestad, J., Binder, P.E., & Sivertsen, B. (2013). The Five Factor Mindfulness Questionnaire in Norway. //Scandinavian Journal of Psychology, 54//(3), 250-260. https://doi.org/10.1111/sjop.12044
Siegling, A.B., & Petrides, K.V. (2016). Zeroing in on mindfulness facets: Similarities, validity, and dimensionality across three independent measures. //PLOS ONE, 11//(4), e0153073. https://doi.org/10.1371/journal.pone.0153073
Heeren, A., Douilliez, C., Peschard, V., Debrauwere, L., & Philippot, P. (2011). Cross-cultural validity of the Five Facets Mindfulness Questionnaire: Adaptation and validation in a french-speaking sample. //European Review of Applied Psychology, 61//(3), 147-151. https://doi.org/10.1016/j.erap.2011.02.001
Baer, R.A., Samuel, D.B., & Lykins, E.L.B. (2011). Differential item functioning on the Five Facet Mindfulness Questionnaire is minimal in demographically matched meditators and nonmeditators. //Assessment, 18//(1), 3-10. https://doi.org/10.1177/1073191110392498
Lopez, A., Sanderman, R., & Schroevers, M.J. (2016). Mindfulness and self-compassion as unique and common predictors of affect in the general population. //Mindfulness, 7//(6), 1289-1296. https://doi.org/10.1007/s12671-016-0568-y
Langer, A.I., Schmidt, C., Mayol, R., Diaz, M., Lecaros, J., Krogh, E., ... & Gaspar, P.A. (2017). The effect of a mindfulness-based intervention in cognitive functions and psychological well-being applied as an early intervention in schizophrenia and high-risk mental state in a Chilean sample: Study protocol for a randomized controlled trial. //Trials, 18//, 233. https://doi.org/10.1186/s13063-017-1967-7
Baer, R.A., Smith, G.T., Lykins, E., Button, D., Krietemeyer, J., Sauer, S., ... & Williams, J.M.G. (2008). Construct validity of the Five Facet Mindfulness Questionnaire in meditating and nonmeditating samples. //Assessment, 15//(3), 329-342. https://doi.org/10.1177/1073191107313003
Van Dam, N.T., Hobkirk, A.L., Danoff-Burg, S., & Earleywine, M. (2012). Mind your words: Positive and negative items create method effects on the Five Facet Mindfulness Questionnaire. //Assessment, 19//(2), 198-204. https://doi.org/10.1177/1073191112438743
Christopher, M.S., Neuser, N.J., Michael, P.G., & Baitmangalkar, A. (2012). Exploring the psychometric properties of the Five Facet Mindfulness Questionnaire. //Mindfulness, 3//(2), 124-131. https://doi.org/10.1007/s12671-011-0086-x
Cebolla, A., Garcia-Palacios, A., Soler, J., Guillen, V., Banos, R., & Botella, C. (2012). Psychometric properties of the Spanish validation of the five facets of mindfulness questionnaire (FFMQ). //European Journal of Psychiatry, 26//(2), 118-126. http://dx.doi.org/10.4321/S0213-61632012000200005
Khoury, B., & Lecomte, T. (2012). Emotion regulation and schizophrenia. //International Journal of Cognitive Therapy, 5//(1), 67-76. https://doi.org/10.1521/ijct.2012.5.1.67
Tran, U.S., Gluck, T.M., & Nader, I.W. (2013). Investigating the Five Facet Mindfulness Questionnaire (FFMQ): Construction of a short form and evidence of a two-factor higher order structure of mindfulness. //Journal of Clinical Psychology, 69//(9), 951-965. https://doi.org/10.1002/jclp.21996
Medvedev, O.N., Siegert, R.J., Kersten, P., & Krageloh, C.U. (2017). Improving the precision of the Five Facet Mindfulness Questionnaire using a rasch approach. //Mindfulness, 8//(4), 995-1008. https://doi.org/10.1007/s12671-016-0676-8
Berry, L.M., May, J., Andrade, J., & Kavanagh, D. (2010). Emotional and behavioral reaction to intrusive thoughts. //Assessment, 17//(1), 126-137. https://doi.org/10.1177/1073191109344694
Giovannini, C., Giromini, L., Bonalume, L., Tagini, A., Lang, M., & Amadei, G. (2014). The Italian Five Facet Mindfulness Questionnaire: A contribution to its validity and reliability. //Journal of Psychopathology and Behavioral Assessment, 36//(3), 415-423. https://doi.org/10.1007/s10862-013-9403-0
Chien, W.T., & Lee, I.Y.M. (2013). The mindfulness-based psychoeducation program for Chinese patients with schizophrenia. //Psychiatric Services, 64//(4), 376-379. https://doi.org/10.1176/appi.ps.002092012
Dorjee, D. (2016). Defining contemplative science: The metacognitive self-regulatory capactiy of the mind, context of meditation practice and modes of existential awareness. //Frontiers in Psychology, 7//, 1788. https://doi.org/10.3389/fpsyg.2016.01788
Davis, L.W., Lysaker, P.H., Kristeller, J.L., Salyers, M.P., Kovach, A.C., & Woller, S. (2015). Effect of mindfulness on vocational rehabilitation outcomes in stable phase schizophrenia. //Psychological Services, 12//(3), 303-312. https://doi.org/10.1037/ser0000028
Pillai, V., Roth, T., Mullins, H.M., & Drake, C.L. (2014). Moderators and mediators of the relationship between stress and insomnia: Stressor chronicity, cognitive intrusion, and coping. //Sleep, 37//(7), 1199-1208A. https://doi.org/10.5665/sleep.3838
Taylor, N.Z., & Millear, P.M.R. (2016). Validity of the Five Facet Mindfulness Questionnaire in an Australian, meditating, demographically diverse sample. //Personality and Individual Differences, 90//, 73-77. https://doi.org/10.1016/j.paid.2015.10.041
Tabak, N.T., Horan, W.P., & Green, M.F. (2015). Mindfulness in schizophrenia: Associations with self-reported motivation, emotion regulation, dysfunctional attitudes, and negative symptoms. //Schizophrenia Research, 168//(1-2), 537-542. https://doi.org/10.1016/j.schres.2015.07.030
Falkenstrom, F., Solbakken, O.A., Moller, C., Lech, B., Sandell, R., & Holmqvist, R. (2014). Reflective functioning, affect consciousness, and mindfulness: Are these different functions?. //Psychoanalytic Psychology, 31//(1), 26-40. https://doi.org/10.1037/a0034049
Shipherd, J.C., & Fordiani, J.M. (2015). The application of mindfulness in coping with intrusive thoughts. //Cognitive and Behavioral Practice, 22//(4), 439-446. https://doi.org/10.1016/j.cbpra.2014.06.001
Manuel, J.A., Somohano, V.C., & Bowen, S. (2017). Mindfulness practice and its relationship to the five-facet mindfulness questionnaire. //Mindfulness, 8//(2), 361-367. https://doi.org/10.1007/s12671-016-0605-x
Murakami, H., Nakao, T., Matsunaga, M., Kasuya, Y., Shinoda, J., Yamada, J., ... & Ohira, H. (2012). The structure of mindful brain. //PLOS ONE, 7//(9), e46377. https://doi.org/10.1371/journal.pone.0046377
Talaei-Khoei, M., Ogink, P.T., Jha, R., Ring, D., Chen, N., & Vranceanu, A.M. (2017). Cognitive intrusion of pain and catastrophic thinking independently explain interference of pain in the activities of daily living. //Journal of Psychiatric Research, 91//, 156-163. https://doi.org/10.1016/j.jpsychires.2017.04.005
Senay, I., Cetinkaya, M., & Usak, M. (2012). Accepting test-anxiety-related thoughts increases academic performance among undergraduate students. //Psihologija, 45//(4), 417-432. https://doi.org/10.2298/PSI1204417S
Perry, Y., Henry, J.D., Nangle, M.R., & Grisham, J.R. (2012). Regulation of negative affect in schizophrenia: The effectiveness of acceptance versus reappraisal and suppression. //Journal of Clinical and Experimental Neuropsychology, 34//(5), 497-508. https://doi.org/10.1080/13803395.2012.661405
Rayan, A.H.R. (2017). Mindfulness, quality of life, and severity of depressive symptoms among patients with schizophrenia and patients with major depressive disorder. //Journal of Psychosocial Nursing and Mental Health Services, 55//(5), 40-50. https://doi.org/10.3928/02793695-20170420-05
Lappalainen, P., Langrial, S., Oinas-Kukkonen, H., Tolvanen, A., & Lappalainen, R. (2015). Web-based acceptance and commitment therapy for depressive symptoms with minimal support: A randomized controlled trial. //Behavior Modification, 39//(6), 805-834. https://doi.org/10.1177/0145445515598142
Kavanagh, D.J., Andrade, J., & May, J. (2004). Beating the urge: Implications of research into substance-related desires. //Addictive Behaviors, 29//(7), 1359-1372. https://doi.org/10.1016/j.addbeh.2004.06.009
Andrei, F., Vesely, A., & Siegling, A.B. (2016). An examination of concurrent and incremental validity of four mindfulness scales. //Journal of Psychopathology and Behavioral Assessment, 38//(4), 559-571. https://doi.org/10.1007/s10862-016-9546-x
Trousselard, M., Canini, F., Claverie, D., Cungi, C., Putois, B., & Franck, N. (2016). Cardiac coherence training to reduce anxiety in remitted schizophrenia, a pilot study. //Applied Psychophysiology and Biofeedback, 41//(1), 61-69. https://doi.org/10.1007/s10484-015-9312-y
Fernandez, A.C., Wood, M.D., Stein, L.A.R., & Rossi, J.S. (2010). Measuring mindfulness and examining its relationship with alcohol use and negative consequences. //Psychology of Addictive Behaviors, 24//(4), 608-616. https://doi.org/10.1037/a0021742
Weick, K.E., & Sutcliffe, K.A. (2006). Mindfulness and the quality of organizational attention. //Organization Science, 17//(4), 514-524. https://doi.org/10.1287/orsc.1060.0196
Hawley, L.L., Rogojanski, J., Vorstenbosch, V., Quilty, L.C., Laposa, J.M., & Rector, N.A. (2017). The structure, correlates, and treatment related changes of mindfulness facets across the anxiety disorders and obsessive compulsive disorder. //Journal of Anxiety Disorders, 49//, 65-75. https://doi.org/10.1016/j.janxdis.2017.03.003
Curtiss, J., & Klemanski, D.H. (2014). Factor analysis of the Five Facet Mindfulness Questionnaire in a heterogeneous clinical sample. //Journal of Psychopathology and Behavioral Assessment, 36//(4), 683-694. https://doi.org/10.1007/s10862-014-9429-y
Quach, D., Mano, K.E.J., & Alexander, K. (2016). A randomized controlled trial examining the effect of mindfulness meditation on working memory capacity in adolescents. //Journal of Adolescent Health, 58//(5), 489-496. https://doi.org/10.1016/j.jadohealth.2015.09.024
Jones, K.D., Mist, S.D., Casselberry, M.A., Ali, A., & Christopher, M.S. (2015). Fibromyalgia impact and mindfulness characteristics in 4986 people with fibromyalgia. //Explore: The Journal of Science and Healing, 11//(4), 304-309. https://doi.org/10.1016/j.explore.2015.04.006
Moss, A.C., Erskine, J.A.K., Albery, I.P., Allen, J.R., & Georgiou, G.J. (2015). To suppress, or not to suppress? That is repression: Controlling intrusive thoughts in addictive behaviour. //Addictive Behaviors, 44//, 65-70. https://doi.org/10.1016/j.addbeh.2015.01.029
Niles, B.L., Vujanovic, A.A., Silberbogen, A.K., Seligowski, A.V., & Potter, C.M. (2013). Changes in mindfulness following a mindfulness telehealth intervention. //Mindfulness, 4//(4), 301-310. https://doi.org/10.1007/s12671-012-0130-5
Wells, A., & Roussis, P. (2014). Refraining from intrusive thoughts is strategy dependent: A comment on Sugiura, et al. and a preliminary informal test of detached mindfulness, acceptance, and other strategies. //Psychological Reports, 115//(2), 541-544. https://doi.org/10.2466/02.PR0.115c21z9
Branstrom, R., Kvillemo, P., Brandberg, Y., & Moskowitz, J.T. (2010). Self-report mindfulness as a mediator of psychological well-being in a stress reduction intervention for cancer patients-a randomized study. //Annals of Behavioral Medicine, 39//(2), 151-161. https://doi.org/10.1007/s12160-010-9168-6
Shipherd, J.C., Salters-Pedneault, K., & Fordiani, J. (2016). Evaluating postdeployment training for coping with intrusive cognition: A comparison of training approaches. //Journal of Consulting and Clinical Psychology, 84//(11), 960-971. https://doi.org/10.1037/ccp0000136
Ju, Y.J., & Lien, Y.W. (2016). Better control with less effort: The advantage of using focused-breathing strategy over focused-distraction strategy on thought suppression. //Consciousness and Cognition, 40//, 9-16. https://doi.org/10.1016/j.concog.2015.12.002
Tran, U.S., Cebolla, A., Gluck, T.M., Soler, J., Garcia-Campayo, J., & von Moy, T. (2014). The serenity of the meditating mind: A cross-cultural psychometric study on a two-factor higher order structure of mindfulness, its effects, and mechanisms related to mental health among experienced meditators. //PLOS ONE, 9//(10), e110192. https://doi.org/10.1371/journal.pone.0110192
Hinterberger, T., Auer, J., Schmidt, S., & Loew, T. (2013). Evaluation of a salutogenetic concept for inpatient psychosomatic treatment. //Evidence-based Complementary and Alternative Medicine, 2013//, 735731.
https://doi.org/10.1155/2013/735731
Eisenlohr-Moul, T.A., Walsh, E.C., Charnigo, R.J., Lynam, D.R., & Baer, R.A. (2012). The "what" and the "how" of dispositional mindfulness: Using interactions among subscales of the five-facet mindfulness questionnaire to understand its relation to substance use. //Assessment, 19//(3), 276-286. https://doi.org/10.1177/1073191112446658
Daigneault, I., Dion, J., Hebert, M., McDuff, P., & Collin-Vezina, D. (2013). Psychometric properties of the Child and Youth Resilience Measure (CYRM-28) among samples of French Canadian youth. //Child Abuse & Neglect, 37//(2-3), 160-171. https://doi.org/10.1016/j.chiabu.2012.06.004
Bremner, J.D., Mishra, S., Campanella, C., Shah, M., Kasher, N., Evans, S., ... & Carmody, J. (2017). A pilot study of the effects of mindfulness-based stress reduction on post-traumatic stress disorder symptoms and brain response to traumatic reminders of combat in operation enduring freedom/operation Iraqi freedom combat veterans with post-traumatic stress disorder. //Frontiers in Psychiatry, 8//, 157. https://doi.org/10.3389/fpsyt.2017.00157
Varese, F., Barkus, E., & Bentall, R.P. (2011). Dissociative and metacognitive factors in hallucination-proneness when controlling for comorbid symptoms. //Cognitive Neuropsychiatry, 16//(3), 193-217. https://doi.org/10.1080/13546805.2010.495244
Sugiura, Y., Sato, A., Ito, Y., & Murakami, H. (2012). Development and validation of the Japanese version of the Five Facet Mindfulness Questionnaire. //Mindfulness, 3//(2), 85-94. https://doi.org/10.1007/s12671-011-0082-1
Perez-Alvarez, M., Garcia-Montes, J.M., Vallina-Fernandez, O., Perona-Garcelan, S., & Cuevas-Yust, C. (2011). New life for schizophrenia psychotherapy in the light of phenomenology. //Clinical Psychology & Psychotherapy, 18//(3), 187-201. https://doi.org/10.1002/cpp.716
Hakan, R.L., Neal, J.M., & Lothes, J. (2017). Social judgments as a measure of right mindfulness. //Sage Open, 7//(1), 1-10. https://doi.org/10.1177/2158244016686811
Liu, X.H., Xu, W., Wang, Y.Z., Williams, J.M.G., Geng, Y., Zhang, Q., ... & Liu, X. (2015). Can inner peace be improved by mindfulness training: A randomized controlled trial. //Stress and Health, 31//(3), 245-254. https://doi.org/10.1002/smi.2551
May, J., Andrade, J., Batey, H., Berry, L.M., & Kavanagh, D.J. (2010). Less food for thought. impact of attentional instructions on intrusive thoughts about snack foods. //Appetite, 55//(2), 279-287. https://doi.org/10.1016/j.appet.2010.06.014
Tai, S., & Turkington, D. (2009). The evolution of cognitive behavior therapy for schizophrenia: Current practice and recent developments. //Schizophrenia Bulletin, 35//(5), 865-873. https://doi.org/10.1093/schbul/sbp080
Zhuang, K.X., Bi, M.H., Li, Y., Xia, Y.M., Guo, X.H., Chen, Q.L., ... & Qiu, J. (2017). A distinction between two instruments measuring dispositional mindfulness and the correlations between those measurements and the neuroanatomical structure. //Scientific Reports, 7//, 6252. https://doi.org/10.1038/s41598-017-06599-w
Royuela-Colomer, E., & Calvete, E. (2016). Mindfulness facets and depression in adolescents: Rumination as a mediator. //Mindfulness, 7//(5), 1092-1102. https://doi.org/10.1007/s12671-016-0547-3
Lee, A.C., Harvey, W.F., Wong, J.B., Price, L.L., Han, X.Y., Chung, M., ... & Wang, C.C. (2017). Effects of Tai Chi versus physical therapy on mindfulness in knee osteoarthritis. //Mindfulness, 8//(5), 1195-1205. https://doi.org/10.1007/s12671-017-0692-3
Fuller, N.R., Sainsbury, A., Caterson, I.D., Enarsson, M., Denyer, G., Manns, C., ... & Markovic, T.P. (2017). Examining mindfulness as a predictor of weight loss - Findings from the Diabegg study. //Obesity Research & Clinical Practice, 11//(1), 88-96. https://doi.org/10.1016/j.orcp.2016.03.004
Chien, W.T., Bressington, D., Yip, A., & Karatzias, T. (2017). An international multi-site, randomized controlled trial of a mindfulness-based psychoeducation group programme for people with schizophrenia. //Psychological Medicine, 47//(12), 2081-2096. https://doi.org/10.1017/S0033291717000526
Seli, P., Carriere, J.S.A., & Smilek, D. (2015). Not all mind wandering is created equal: Dissociating deliberate from spontaneous mind wandering. //Psychological Research-psychologische Forschung, 79//(5), 750-758. https://doi.org/10.1007/s00426-014-0617-x
[img[tps82.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Bachmann, K., Lam, A.P., & Philipsen, A. (2016). Mindfulness-based cognitive therapy and the adult ADHD brain: A neuropsychotherapeutic perspective. //Frontiers in Psychiatry, 7//, 117. https://doi.org/10.3389/fpsyt.2016.00117
Pearce, P.L. (2009). Now that is funny humour in tourism settings. //Annals of Tourism Research, 36//(4), 627-644. https://doi.org/10.1016/j.annals.2009.05.003
Law, R., & Ting, J. (2011). The impact of visitor behavior on the environmental protection of tourist farms in Guangdong. //Asia Pacific Journal of Tourism Research, 16//(3), 307-323. https://doi.org/10.1080/10941665.2011.573244
Skavronskaya, L., Scott, N., Moyle, B., Le, D., Hadinejad, A., Zhang, R., ... & Shakeela, A. (2017). Cognitive psychology and tourism research: State of the art. //Tourism Review, 72//(2), 221-237. https://doi.org/10.1108/TR-03-2017-0041
Perroud, N., Badoud, D., Weibel, S., Nicastro, R., Hasler, R., Kung, A.L., ... & Debbane, M. (2017). Mentalization in adults with attention deficit hyperactivity disorder: Comparison with controls and patients with borderline personality disorder. //Psychiatry Research, 256//, 334-341. https://doi.org/10.1016/j.psychres.2017.06.087
Moscardo, G. (2017). Exploring mindfulness and stories in tourist experiences. //International Journal of Culture Tourism and Hospitality Research, 11//(2), 111-124. https://doi.org/10.1108/IJCTHR-11-2016-0108
Modesto-Lowe, V., Chaplin, M., Godsay, V., & Soovajian, V. (2014). Parenting teens with attention-deficit/hyperactivity disorder: Challenges and opportunities. //Clinical Pediatrics, 53//(10), 943-948. https://doi.org/10.1177/0009922814540984
Meppelink, R., de Bruin, E.I., & Bogels, S.M. (2016). Meditation or medication? Mindfulness training versus medication in the treatment of childhood ADHD: A randomized controlled trial. //BMC Psychiatry, 16//, 267. https://doi.org/10.1186/s12888-016-0978-3
Wong, I.A. (2015). A multimethod multilevel study of heritage transmission: The role of culture on tourist interest and authenticity. //Journal of Travel Research, 54//(5), 672-685. https://doi.org/10.1177/0047287514532368
Nawijn, J. (2011). Determinants of daily happiness on vacation. //Journal of Travel Research, 50//(5), 559-566. https://doi.org/10.1177/0047287510379164
Smalley, S.L., Loo, S.K., Hale, T.S., Shrestha, A., & McGough, J. (2009). Mindfulness and attention deficit hyperactivity disorder. //Journal of Clinical Psychology, 65//(10), 1087-1098. https://doi.org/10.1002/jclp.20618
Fleming, A.P., & McMahon, R.J. (2012). Developmental context and treatment principles for ADHD among college students. //Clinical Child and Family Psychology Review, 15//(4), 303-329. https://doi.org/10.1007/s10567-012-0121-z
Kang, M., & Gretzel, U. (2012). Effects of podcast tours on tourist experiences in a national park. //Tourism Management, 33//(2), 440-455. https://doi.org/10.1016/j.tourman.2011.05.005
Moscardo, G. (1996). Mindful visitors: Heritage and tourism. //Annals of Tourism Research, 23//(2), 376-397. https://doi.org/10.1016/0160-7383(95)00068-2
Mitchell, J.T., McIntyre, E.M., English, J.S., Dennis, M.F., Beckham, J.C., & Kollins, S.H. (2017). A pilot trial of mindfulness meditation training for ADHD in adulthood: Impact on core symptoms, executive functioning, and emotion dysregulation. //Journal of Attention Disorders, 21//(13), 1105-1120. https://doi.org/10.1177/1087054713513328
Keune, P.M., Wiedemann, E., Schneidt, A., & Schonenberg, M. (2015). Frontal brain asymmetry in adult attention-deficit/hyperactivity disorder (ADHD): Extending the motivational dysfunction hypothesis. //Clinical Neurophysiology, 126//(4), 711-720. https://doi.org/10.1016/j.clinph.2014.07.008
Dutt, C., & Ninov, I. (2016). Tourists’ experiences of mindfulness in Dubai, United Arab Emirates (UAE). //Journal of Travel & Tourism Marketing, 33//(8), 1195-1212. https://doi.org/10.1080/10548408.2015.1107521
Legal, J.B., Meyer, T., Csillik, A., & Nicolas, P.A. (2016). Goal priming, public transportation habit and travel mode selection: The moderating role of trait mindfulness. //Transportation Research Part F: Traffic Psychology and Behaviour, 38//, 47-54. https://doi.org/10.1016/j.trf.2016.01.003
Bunford, N., Evans, S.W., & Wymbs, F. (2015). ADHD and emotion dysregulation among children and adolescents. //Clinical Child and Family Psychology Review, 18//(3), 185-217. https://doi.org/10.1007/s10567-015-0187-5
Mitchell, J.T., Zylowska, L., & Kollins, S.H. (2015). Mindfulness meditation training for attention-deficit/hyperactivity disorder in adulthood: Current empirical support, treatment overview, and future directions. //Cognitive and Behavioral Practice, 22//(2), 172-191. https://doi.org/10.1016/j.cbpra.2014.10.002
Tung, V.W.S., Lin, P., Zhang, H.Q.Q., & Zhao, A.M. (2017). A framework of memory management and tourism experiences. //Journal of Travel & Tourism Marketing, 34//(7), 853-866. https://doi.org/10.1080/10548408.2016.1260521
Cole, P., Weibel, S., Nicastro, R., Hasler, R., Dayer, A., Aubry, J.M., ... & Perroud, N. (2016). CBT/DBT skills training for adults with attention deficit hyperactivity disorder (ADHD). //Psychiatria Danubina, 28//, S103-S107.
Skandrani, Z., Daniel, L., Jacquelin, L., Leboucher, G., Bovet, D., & Prevot, A.C. (2015). On public influence on people's interactions with ordinary biodiversity. //PLOS ONE, 10//(7), e0130215. https://doi.org/10.1371/journal.pone.0130215
van der Oord, S., Bogels, S.M., & Peijnenburg, D. (2012). The effectiveness of mindfulness training for children with ADHD and mindful parenting for their parents. //Journal of Child and Family Studies, 21//(1), 139-147. https://doi.org/10.1007/s10826-011-9457-0
Fleming, A.P., McMahon, R.J., Moran, L.R., Peterson, A.P., & Dreessen, A. (2015). Pilot randomized controlled trial of dialectical behavior therapy group skills training for ADHD among college students. //Journal of Attention Disorders, 19//(3), 260-271. https://doi.org/10.1177/1087054714535951
Dutt, C., & Ninov, I. (2016). The role of mindfulness in tourism: Tourism businesses' perceptions of mindfulness in Dubai, UAE. //Tourism, 64//(1), 81-95.
Cassone, A.R. (2015). Mindfulness training as an adjunct to evidence-based treatment for ADHD within families. //Journal of Attention Disorders, 19//(2), 147-157. https://doi.org/10.1177/1087054713488438
Becker, B.D., Patterson, F., Fagan, J.S., & Whitaker, R.C. (2016). Mindfulness among home visitors in head start and the quality of their working alliance with parents. //Journal of Child and Family Studies, 25//(6), 1969-1979. https://doi.org/10.1007/s10826-015-0352-y
Zylowska, L., Ackerman, D.L., Yang, M.H., Futrell, J.L., Horton, N.L., Hale, T.S., ... & Smalley, S.L. (2008). Mindfulness meditation training in adults and adolescents with ADHD: A feasibility study. //Journal of Attention Disorders, 11//(6), 737-746. https://doi.org/10.1177/1087054707308502
Janssen, L., Kan, C.C., Carpentier, P.J., Sizoo, B., Hepark, S., Grutters, J., ... & Speckens, A.E.M. (2015). Mindfulness based cognitive therapy versus treatment as usual in adults with attention deficit hyperactivity disorder (ADHD). //BMC Psychiatry, 15//, 216. https://doi.org/10.1186/s12888-015-0591-x
Murrell, A.R., Lester, E.G., & Sandoz, E.K. (2015). Grounding turbulent minds: The challenges of mindfulness-based interventions for college students with ADHD and how to overcome them. //Journal of College Student Psychotherapy, 29//(4), 314-328. https://doi.org/10.1080/87568225.2015.1074022
Schoenberg, P.L.A., Hepark, S., Kan, C.C., Barendregt, H.P., Buitelaar, J.K., & Speckens, A.E.M. (2014). Effects of mindfulness-based cognitive therapy on neurophysiological correlates of performance monitoring in adult attention-deficit/hyperactivity disorder. //Clinical Neurophysiology, 125//(7), 1407-1416. https://doi.org/10.1016/j.clinph.2013.11.031
Manek, N.J. (2012). Symmetry states of the physical space: An expanded reference frame for understanding human consciousness. //Journal of Alternative and Complementary Medicine, 18//(1), 83-92. https://doi.org/10.1089/acm.2011.0604
Hesslinger, B., van Elst, L.T., Nyberg, E., Dykierek, P., Richter, H., Berner, M., ... & Ebert, D. (2002). Psychotherapy of attention deficit hyperactivity disorder in adults - A pilot study using a structured skills training program. //European Archives of Psychiatry and Clinical Neuroscience, 252//(4), 177-184. https://doi.org/10.1007/s00406-002-0379-0
Chen, L.I.L., Scott, N., & Benckendorff, P. (2017). Mindful tourist experiences: A Buddhist perspective. //Annals of Tourism Research, 64//, 1-12. https://doi.org/10.1016/j.annals.2017.01.013
Bueno, V.F., Kozasa, E.H., da Silva, M.A., Alves, T.M., Louza, M.R., & Pompeia, S. (2015). Mindfulness meditation improves mood, quality of life, and attention in adults with attention deficit hyperactivity disorder. //Biomed Research International, 2005//, 962857. https://doi.org/10.1155/2015/962857
Philipsen, A., Richter, H., Peters, J., Alm, B., Sobanski, E., Colla, M., ... & Hesslinger, B. (2007). Structured group psychotherapy in adults with attention deficit hyperactivity disorder. //Journal of Nervous and Mental Disease, 195//(12), 1013-1019. https://doi.org/10.1097/NMD.0b013e31815c088b
Grant, J.A., Duerden, E.G., Courtemanche, J., Cherkasova, M., Duncan, G.H., & Rainville, P. (2013). Cortical thickness, mental absorption and meditative practice: Possible implications for disorders of attention. //Biological Psychology, 92//(2), 275-281. https://doi.org/10.1016/j.biopsycho.2012.09.007
Edel, M.A., Holter, T., Wassink, K., & Juckel, G. (2017). A comparison of mindfulness-based group training and skills group training in adults with ADHD: An open study. //Journal of Attention Disorders, 21//(6), 533-539. https://doi.org/10.1177/1087054714551635
Keith, J.R., Blackwood, M.E., Mathew, R.T., & Lecci, L.B. (2017). Self-reported mindful attention and awareness, go/no-go response-time variability, and attention-deficit hyperactivity disorder. //Mindfulness, 8//(3), 765-774. https://doi.org/10.1007/s12671-016-0655-0
Canu, W.H., & Wymbs, B.T. (2015). Novel approaches to cognitive-behavioral therapy for adult ADHD. //Cognitive and Behavioral Practice//, 22(2), 111-115. https://doi.org/10.1016/j.cbpra.2015.01.002
Miller, C.J., & Brooker, B. (2017). Mindfulness programming for parents and teachers of children with ADHD. //Complementary Therapies in Clinical Practice, 28//, 108-115. https://doi.org/10.1016/j.ctcp.2017.05.015
Lo, H.H.M., Wong, S.Y.S., Wong, J.Y.H., Wong, S.W.L., & Yeung, J.W.K. (2016). The effect of a family-based mindfulness intervention on children with attention deficit and hyperactivity symptoms and their parents: Design and rationale for a randomized, controlled clinical trial (study protocol). //BMC Psychiatry, 16//, 65. https://doi.org/10.1186/s12888-016-0773-1
Walker, K., & Moscardo, G. (2014). Encouraging sustainability beyond the tourist experience: Ecotourism, interpretation and values. //Journal of Sustainable Tourism, 22//(8), 1175-1196. https://doi.org/10.1080/09669582.2014.918134
[img[tps83.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Hughes, J.W., Fresco, D.M., Myerscough, R., van Dulmen, M.H.M., Carlson, L.E., & Josephson, R. (2013). Randomized controlled trial of mindfulness-based stress reduction for prehypertension. //Psychosomatic Medicine, 75//(8), 721-728. https://doi.org/10.1097/PSY.0b013e3182a3e4e5
Smith, B.W., Shelley, B.M., Dalen, J., Wiggins, K., Tooley, E., & Bernard, J. (2008). A pilot study comparing the effects of mindfulness-based and cognitive-behavioral stress reduction. //Journal of Alternative and Complementary Medicine, 14//(3), 251-258. https://doi.org/10.1089/acm.2007.0641
Chen, Y.Q., Yang, H., Liu, L.X., & Fang, R.L. (2017). Effects of mindfulness-based stress reduction on the anxiety, depression and quality of life of patients with intrauterine adhesion: A randomized controlled trial. //International Journal of Clinical and Experimental Medicine, 10//(2), 2296-2305.
van Dijk, I., Lucassen, P.L.B.J., Akkermans, R.P., van Engelen, B.G.M., van Weel, C., & Speckens, A.E.M. (2017). Effects of mindfulness-based stress reduction on the mental health of clinical clerkship students: A cluster-randomized controlled trial. //Academic Medicine, 92//(7), 1012-1021. https://doi.org/10.1097/ACM.0000000000001546
Garland, S.N., Stainken, C., Ahluwalia, K., Vapiwala, N., & Mao, J.J. (2015). Cancer-related search for meaning increases willingness to participate in mindfulness-based stress reduction. //Integrative Cancer Therapies, 14//(3), 231-239. https://doi.org/10.1177/1534735415580682
Lenze, E.J., Hickman, S., Hershey, T., Wendleton, L., Ly, K., Dixon, D., ... & Wetherell, J.L. (2014). Mindfulness-based stress reduction for older adults with worry symptoms and co-occurring cognitive dysfunction. //International Journal of Geriatric Psychiatry, 29//(10), 991-1000. https://doi.org/10.1002/gps.4086
Kanter, G., Komesu, Y.M., Qaedan, F., Jeppson, P.C., Dunivan, G.C., Cichowski, S.B., ... & Rogers, R.G. (2016). Mindfulness-based stress reduction as a novel treatment for interstitial cystitis/bladder pain syndrome: A randomized controlled trial. //International Urogynecology Journal, 27//(11), 1705-1711. https://doi.org/10.1007/s00192-016-3022-8
van Dijk, I., Lucassen, P.L.B.J., & Speckens, A.E.M. (2015). Mindfulness training for medical students in their clinical clerkships: Two cross-sectional studies exploring interest and participation. //BMC Medical Education, 15//, 24. https://doi.org/10.1186/s12909-015-0302-9
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Cook, A.J., Anderson, M.L., Hawkes, R.J., ... & Turner, J.A. (2016). Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain a randomized clinical trial. //JAMA: Journal of the American Medical Association, 315//(12), 1240-1249. https://doi.org/10.1001/jama.2016.2323
Barkan, T., Hoerger, M., Gallegos, A.M., Turiano, N.A., Duberstein, P.R., & Moynihan, J.A. (2016). Personality predicts utilization of mindfulness-based stress reduction during and post-intervention in a community sample of older adults. //Journal of Alternative and Complementary Medicine, 22//(5), 390-395. https://doi.org/10.1089/acm.2015.0177
Sarenmalm, E.K., Martensson, L.B., Andersson, B.A., Karlsson, P., & Bergh, I. (2017). Mindfulness and its efficacy for psychological and biological responses in women with breast cancer. //Cancer Medicine, 6//(5), 1108-1122. https://doi.org/10.1002/cam4.1052
Lush, E., Salmon, P., Floyd, A., Studts, J.L., Weissbecker, I., & Sephton, S.E. (2009). Mindfulness meditation for symptom reduction in fibromyalgia: Psychophysiological correlates. //Journal of Clinical Psychology in medical settings, 16//(2), 200-207. https://doi.org/10.1007/s10880-009-9153-z
Roth, B., & Stanley, T.W. (2002). Mindfulness-based stress reduction and healthcare utilization in the inner city: Preliminary findings. //Alternative Therapies in Health and Medicine, 8//(1), 60-66.
Bisseling, E.M., Schellekens, M.P.J., Jansen, E.T.M., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2017). Mindfulness-based stress reduction for breast cancer patients: A mixed method study on what patients experience as a suitable stage to participate. //Supportive Care in Cancer, 25//(10), 3067-3074. https://doi.org/10.1007/s00520-017-3714-8
Sibinga, E.M.S., Kerrigan, D., Stewart, M., Johnson, K., Magyari, T., & Ellen, J.M. (2011). Mindfulness-based stress reduction for urban youth. //Journal of Alternative and Complementary Medicine, 17//(3), 213-218. https://doi.org/10.1089/acm.2009.0605
Braden, B.B., Pipe, T.B., Smith, R., Glaspy, T.K., Deatherage, B.R., & Baxter, L.C. (2016). Brain and Behavior changes associated with an abbreviated 4-week mindfulness-based stress reduction course in back pain patients. //Brain and behavior, 6//(3), e00443. https://doi.org/10.1002/brb3.443
Jensen, C.G., Vangkilde, S., Frokjaer, V., & Hasselbalch, S.G. (2012). Mindfulness training affects attention-or is it attentional effort?. //Journal of Experimental Psychology-general, 141//(1), 106-123. https://doi.org/10.1037/a0024931
Campbell, T.S., Labelle, L.E., Bacon, S.L., Faris, P., & Carlson, L.E. (2012). Impact of mindfulness-based stress reduction (MBSR) on attention, rumination and resting blood pressure in women with cancer: A waitlist-controlled study. //Journal of Behavioral Medicine, 35//(3), 262-271. https://doi.org/10.1007/s10865-011-9357-1
Schmidt, S., Grossman, P., Schwarzer, B., Jena, S., Naumann, J., & Walach, H. (2011). Treating fibromyalgia with mindfulness-based stress reduction: Results from a 3-armed randomized controlled trial. //Pain, 152//(2), 361-369. https://doi.org/10.1016/j.pain.2010.10.043
Wurtzen, H., Dalton, S.O., Christensen, J., Andersen, K.K., Elsass, P., Flyger, H.L., ... & Johansen, C. (2015). Effect of mindfulness-based stress reduction on somatic symptoms, distress, mindfulness and spiritual wellbeing in women with breast cancer: Results of a randomized controlled trial. //Acta Oncologica, 54//(5), 712-719. https://doi.org/10.3109/0284186X.2014.997371
Toneatto, T., & Nguyen, L. (2007). Does mindfulness meditation improve anxiety and mood symptoms? A review of the controlled research. //Canadian Journal of Psychiatry-revue Canadienne De Psychiatrie, 52//(4), 260-266. https://doi.org/10.1177/070674370705200409
Nyklicek, I., Mommersteeg, P.M.C., Van Beugen, S., Ramakers, C., & Van Boxtel, G.J. (2013). Mindfulness-based stress reduction and physiological activity during acute stress: A randomized controlled trial. //Health Psychology, 32//(10), 1110-1113. https://doi.org/10.1037/a0032200
Geary, C., & Rosenthal, S.L. (2011). Sustained impact of MBSR on stress, well-being, and daily spiritual experiences for 1 year in academic health care employees. //Journal of Alternative and Complementary Medicine, 17//(10), 939-944. https://doi.org/10.1089/acm.2010.0335
Song, Y., & Lindquist, R. (2015). Effects of mindfulness-based stress reduction on depression, anxiety, stress and mindfulness in Korean nursing students. //Nurse Education Today, 35//(1), 86-90. https://doi.org/10.1016/j.nedt.2014.06.010
Martinez, M.E., Kearney, D.J., Simpson, T., Felleman, B.I., Bernardi, N., & Sayre, G. (2015). Challenges to enrollment and participation in mindfulness-based stress reduction among veterans: A qualitative study. //Journal of Alternative and Complementary Medicine, 21//(7), 409-421. https://doi.org/10.1089/acm.2014.0324
Johns, S.A., Brown, L.F., Beck-Coon, K., Talib, T.L., Monahan, P.O., Giesler, R.B., ... & Kroenke, K. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction compared to psychoeducational support for persistently fatigued breast and colorectal cancer survivors. //Supportive Care in Cancer, 24//(10), 4085-4096. https://doi.org/10.1007/s00520-016-3220-4
Weiss, M., Nordlie, J., & Siegel, E.P. (2005). Mindfulness-based stress reduction as an adjunct to outpatient psychotherapy. //Psychotherapy and Psychosomatics, 74//(2), 108-112. https://doi.org/10.1159/000083169
Sibinga, E.M.S., Perry-Parrish, C., Thorpe, K., Mika, M., & Ellen, J.M. (2014). A small mixed-method RCT of mindfulness instruction for urban youth. //Explore: The Journal of Science and Healing, 10//(3), 180-186. https://doi.org/10.1016/j.explore.2014.02.006
Zernicke, K.A., Campbell, T.S., Blustein, P.K., Fung, T.S., Johnson, J.A., Bacon, S.L., ... & Carlson, L.E. (2013). Mindfulness-based stress reduction for the treatment of irritable bowel syndrome symptoms: A randomized wait-list controlled trial. //International Journal of Behavioral Medicine, 20//(3), 385-396. https://doi.org/10.1007/s12529-012-9241-6
Witek-Janusek, L., Albuquerque, K., Chroniak, K.R., Chroniak, C., Durazo-Arvizu, R., & Mathews, H.L. (2008). Effect of mindfulness based stress reduction on immune function, quality of life and coping in women newly diagnosed with early stage breast cancer. //Brain Behavior and Immunity, 22//(6), 969-981. https://doi.org/10.1016/j.bbi.2008.01.012
Ho, L., Bloom, P.A., Vega, J.G., Yemul, S., Zhao, W., Ward, L., ... & Pasinetti, G.M. (2016). Biomarkers of resilience in stress reduction for caregivers of alzheimer's patients. //Neuromolecular Medicine, 18//(2), 177-189. https://doi.org/10.1007/s12017-016-8388-8
Sibinga, E.M.S., Perry-Parrish, C., Chung, S.E., Johnson, S.B., Smith, M., & Ellen, J.M. (2013). School-based mindfulness instruction for urban male youth: A small randomized controlled trial. //Preventive Medicine, 57//(6), 799-801. https://doi.org/10.1016/j.ypmed.2013.08.027
Gross, C.R., Kreitzer, M.J., Thomas, W., Reilly-Spong, M., Cramer-Bornemann, M., Nyman, J.A., ... & Ibrahim, H.N. (2010). Mindfulness-based stress reduction for solid organ transplant recipients: A randomized controlled trial. //Alternative Therapies in Health and Medicine, 16//(5), 30-38.
Omidi, A., & Zargar, F. (2015). Effects of mindfulness-based stress reduction on perceived stress and psychological health in patients with tension headache. //Journal of Research in Medical Sciences, 20//(11), 1058-1063. https://dx.doi.org/10.4103%2F1735-1995.172816
Labelle, L.E., Lawlor-Savage, L., Campbell, T.S., Faris, P., & Carlson, L.E. (2015). Does self-report mindfulness mediate the effect of mindfulness-based stress reduction (MBSR) on spirituality and posttraumatic growth in cancer patients?. //Journal of Positive Psychology, 10//(2), 153-166. https://doi.org/10.1080/17439760.2014.927902
Raja-Khan, N., Agito, K., Shah, J., Stetter, C.M., Gustafson, T.S., Socolow, H., ... & Legro, R.S. (2017). Mindfulness-based stress reduction in women with overweight or obesity: A randomized clinical trial. //Obesity, 25//(8), 1349-1359. https://doi.org/10.1002/oby.21910
Goldin, P.R., Morrison, A.S., Jazaieri, H., Heimberg, R.G., & Gross, J.J. (2017). Trajectories of social anxiety, cognitive reappraisal, and mindfulness during an RCT of CBGT versus MBSR for social anxiety disorder. //Behaviour Research and Therapy, 97//, 1-13. https://doi.org/10.1016/j.brat.2017.06.001
Klatt, M.D., Buckworth, J., & Malarkey, W.B. (2009). Effects of low-dose mindfulness-based stress reduction (MBSR-ld) on working adults. //Health Education & behavior, 36//(3), 601-614. https://doi.org/10.1177/1090198108317627
Huang, J.Y., & Shi, L. (2016). The effectiveness of mindfulness-based stress reduction (MBSR) for survivors of breast cancer: Study protocol for a randomized controlled trial. //Trials, 17//, 209. https://doi.org/10.1186/s13063-016-1335-z
Bohlmeijer, E., Prenger, R., Taal, E., & Cuijpers, P. (2010). The effects of mindfulness-based stress reduction therapy on mental health of adults with a chronic medical disease: A meta-analysis. //Journal of Psychosomatic Research, 68//(6), 539-544. https://doi.org/10.1016/j.jpsychores.2009.10.005
Arefnasab, Z., Babamahmoodi, A., Babamahmoodi, F., Noorbala, A.A., Alipour, A., Panahi, Y., ... & Ghanei, M. (2016). Mindfulness-based stress reduction (MBSR) and its effects on psychoimmunological factors of chemically pulmonary injured veterans. //Iranian Journal of Allergy Asthma and Immunology, 15//(6), 476-486.
Baker, J., Costa, D., Guarino, J.M., & Nygaard, I. (2014). Comparison of mindfulness-based stress reduction versus yoga on urinary urge incontinence: A randomized pilot study. with 6-month and 1-year follow-up visits. //Female Pelvic Medicine and Reconstructive Surgery, 20//(3), 141-146. https://doi.org/10.1097/SPV.0000000000000061
Pbert, L., Madison, J.M., Druker, S., Olendzki, N., Magner, R., Reed, G., ... & Carmody, J. (2012). Effect of mindfulness training on asthma quality of life and lung function: A randomised controlled trial. //Thorax, 67//(9), 769-776. https://doi.org/10.1136/thoraxjnl-2011-200253
Andersen, S.R., Wurtzen, H., Steding-Jessen, M., Christensen, J., Andersen, K.K., Flyger, H., ... & Dalton, S.O. (2013). Effect of mindfulness-based stress reduction on sleep quality: Results of a randomized trial among danish breast cancer patients. //Acta Oncologica, 52//(2), 336-344. https://doi.org/10.3109/0284186X.2012.745948
MacCoon, D.G., MacLean, K.A., Davidson, R.J., Saron, C.D., & Lutz, A. (2014). No sustained attention differences in a longitudinal randomized trial comparing mindfulness based stress reduction versus active control. //PLOS ONE, 9//(6), e97551. https://doi.org/10.1371/journal.pone.0097551
Hou, R.J., Wong, S.Y.S., Yip, B.H.K., Hung, A.T.F., Lo, H.H.M., Chan, P.H.S., ... & Ma, S.H. (2014). The effects of mindfulness-based stress reduction program on the mental health of family caregivers: A randomized controlled trial. //Psychotherapy and Psychosomatics, 83//(1), 45-53. https://doi.org/10.1159/000353278
Verweij, H., Waumans, R.C., Smeijers, D., Lucassen, P.L.B.J., Donders, A.R.T., van der Horst, H.E., ... & Speckens, A.E.M. (2016). Mindfulness-based stress reduction for GPS: Results of a controlled mixed methods pilot study in Dutch primary care. //British Journal of General Practice, 66//(643), E99-E105. https://doi.org/10.3399/bjgp16X683497
Sarenmalm, E.K., Martensson, L.B., Holmberg, S.B., Andersson, B.A., Oden, A., & Bergh, I. (2013). Mindfulness based stress reduction study design of a longitudinal randomized controlled complementary intervention in women with breast cancer. //BMC Complementary and Alternative Medicine, 13//, 248. https://doi.org/10.1186/1472-6882-13-248
Gallegos, A.M., Hoerger, M., Talbot, N.L., Krasner, M.S., Knight, J.M., Moynihan, J.A., ... & Duberstein, P.R. (2013). Toward identifying the effects of the specific components of mindfulness-based stress reduction on biologic and emotional outcomes among older adults. //Journal of Alternative and Complementary Medicine, 19//(10), 787-792. https://doi.org/10.1089/acm.2012.0028
Roth, B., & Robbins, D. (2004). Mindfulness-based stress reduction and health-related quality of life: Findings from a bilingual inner-city patient population. //Psychosomatic Medicine, 66//(1), 113-123. https://doi.org/10.1097/01.PSY.0000097337.00754.09
Roberts, L.R., & Neece, C.L. (2015). Feasibility of mindfulness-based stress reduction intervention for parents of children with developmental delays. //Issues in Mental Health Nursing, 36//(8), 592-602. https://doi.org/10.3109/01612840.2015.1017063
Shapiro, S.L., Jazaieri, H., & Goldin, P.R. (2012). Mindfulness-based stress reduction effects on moral reasoning and decision making. //Journal of Positive Psychology, 7//(6), 504-515. https://doi.org/10.1080/17439760.2012.723732
Johns, S.A., Von Ah, D., Brown, L.F., Beck-Coon, K., Talib, T.L., Alyea, J.M., ... & Giesler, R.B. (2016). Randomized controlled pilot trial of mindfulness-based stress reduction for breast and colorectal cancer survivors: Effects on cancer-related cognitive impairment. //Journal of Cancer Survivorship, 10//(3), 437-448. https://doi.org/10.1007/s11764-015-0494-3
Jedel, S., Hoffman, A., Merriman, P., Swanson, B., Voigt, R., Rajan, K.B., ... & Keshavarzian, A. (2014). A randomized controlled trial of mindfulness-based stress reduction to prevent flare-up in patients with inactive ulcerative colitis. //Digestion, 89//(2), 142-155. https://doi.org/10.1159/000356316
Goldin, P.R., Morrison, A., Jazaieri, H., Brozovich, F., Heimberg, R., & Gross, J.J. (2016). Group CBT versus MBSR for social anxiety disorder: A randomized controlled trial. //Journal of Consulting and Clinical Psychology, 84//(5), 427-437. https://doi.org/10.1037/ccp0000092
Cash, E., Salmon, P., Weissbecker, I., Rebholz, W.N., Bayley-Veloso, R., Zimmaro, L.A., ... & Sephton, S.E. (2015). Mindfulness meditation alleviates fibromyalgia symptoms in women: Results of a randomized clinical trial. //Annals of Behavioral Medicine, 49//(3), 319-330. https://doi.org/10.1007/s12160-014-9665-0
Dobkin, P.L., Hickman, S., & Monshat, K. (2014). Holding the heart of mindfulness-based stress reduction: Balancing fidelity and imagination when adapting MBSR. //Mindfulness, 5//(6), 710-718. https://doi.org/10.1007/s12671-013-0225-7
Bergen-Cico, D., Possemato, K., & Cheon, S. (2013). Examining the efficacy of a brief mindfulness-based stress reduction (brief MBSR) program on psychological health. //Journal of American College Health, 61//(6), 348-360. https://doi.org/10.1080/07448481.2013.813853
Blankespoor, R.J., Schellekens, M.P.J., Vos, S.H., Speckens, A.E.M., & de Jong, B.A. (2017). The effectiveness of mindfulness-based stress reduction on psychological distress and cognitive functioning in patients with multiple sclerosis: A pilot study. //Mindfulness, 8//(5), 1251-1258. https://doi.org/10.1007/s12671-017-0701-6
Eyles, C., Leydon, G.M., Hoffman, C.J., Copson, E.R., Prescott, P., Chorozoglou, M., ... & Lewith, G. (2015). Mindfulness for the self-management of fatigue, anxiety, and depression in women with metastatic breast cancer: A mixed methods feasibility study. //Integrative Cancer Therapies, 14//(1), 42-56. https://doi.org/10.1177/1534735414546567
Wells, R.E., Burch, R., Paulsen, R.H., Wayne, P.M., Houle, T.T., & Loder, E. (2014). Meditation for migraines: A pilot randomized controlled trial. //Headache, 54//(9), 1484-1495. https://doi.org/10.1111/head.12420
Mano, K.E.J., Salamon, K.S., Hainsworth, K.R., Khan, K.J.A., Ladwig, R.J., Davies, W.H., ... & Weisman, S.J. (2013). A randomized, controlled pilot study of mindfulness-based stress reduction for pediatric chronic pain. //Alternative Therapies in Health and Medicine, 19//(6), 8-14.
Arch, J.J., Ayers, C.R., Baker, A., Almklov, E., Dean, D.J., & Craske, M.G. (2013). Randomized clinical trial of adapted mindfulness-based stress reduction versus group cognitive behavioral therapy for heterogeneous anxiety disorders. //Behaviour Research and Therapy, 51//(4-5), 185-196. https://doi.org/10.1016/j.brat.2013.01.003
Szanton, S.L., Wenzel, J., Connolly, A.B., & Piferi, R.L. (2011). Examining mindfulness-based stress reduction: Perceptions from minority older adults residing in a low-income housing facility. //BMC Complementary and Alternative Medicine, 11//, 44. https://doi.org/10.1186/1472-6882-11-44
Zhang, J.Y., Zhou, Y.Q., Feng, Z.W., Fan, Y.N., & Zeng, G.C. (2017). Randomized controlled trial of mindfulness-based stress reduction (MBSR) on posttraumatic growth of Chinese breast cancer survivors. //Psychology Health & Medicine, 22//(1), 94-109. https://doi.org/10.1080/13548506.2016.1146405
Fang, C.Y., Reibel, D.K., Longacre, M.L., Rosenzweig, S., Campbell, D.E., & Douglas, S.D. (2010). Enhanced psychosocial well-being following participation in a mindfulness-based stress reduction program is associated with increased natural killer cell activity. //Journal of Alternative and Complementary Medicine, 16//(5), 531-538. https://doi.org/10.1089/acm.2009.0018
Snippe, E., Dziak, J.J., Lanza, S.T., Nykliek, I., & Wichers, M. (2017). The shape of change in perceived stress, negative affect, and stress sensitivity during mindfulness-based stress reduction. //Mindfulness, 8//(3), 728-736. https://doi.org/10.1007/s12671-016-0650-5
Feliu-Soler, A., Borras, X., Penarrubia-Maria, M.T., Rozadilla-Sacanell, A., D'Amico, F., Moss-Morris, R., ... & Luciano, J.V. (2016). Cost-utility and biological underpinnings of mindfulness-based stress reduction (MBSR) versus a psychoeducational programme (Fibroqol) for fibromyalgia: A 12-month randomised controlled trial (Eudaimon study). //BMC Complementary and Alternative Medicine, 16//, 81. https://doi.org/10.1186/s12906-016-1068-2
Goldin, P., Ziv, M., Jazaieri, H., & Gross, H.J. (2012). Randomized controlled trial of mindfulness-based stress reduction versus aerobic exercise: Effects on the self-referential brain network in social anxiety disorder. //Frontiers in Human Neuroscience, 6//, 295. https://doi.org/10.3389/fnhum.2012.00295
Praissman, S. (2008). Mindfulness-based stress reduction: A literature review and clinician's guide. //Journal of the American Academy of Nurse Practitioners, 20//(4), 212-216. https://doi.org/10.1111/j.1745-7599.2008.00306.x
Moss, A.S., Reibel, D.K., Greeson, J.M., Thapar, A., Bubb, R., Salmon, J., ... & Newberg, A.B. (2015). An adapted mindfulness-based stress reduction program for elders in a continuing care retirement community: Quantitative and qualitative results from a pilot randomized controlled trial. //Journal of Applied Gerontology, 34//(4), 518-538. https://doi.org/10.1177/0733464814559411
Gallegos, A.M., Hoerger, M., Talbot, N.L., Moynihan, J.A., & Duberstein, P.R. (2013). Emotional benefits of mindfulness-based stress reduction in older adults: The moderating roles of age and depressive symptom severity. //Aging & Mental Health, 17//(7), 823-829. https://doi.org/10.1080/13607863.2013.799118
Hoge, E.A., Bui, E., Marques, L., Metcalf, C.A., Morris, L.K., Robinaugh, D.J., ... & Simon, N.M. (2013). Randomized controlled trial of mindfulness meditation for generalized anxiety disorder: Effects on anxiety and stress reactivity. //Journal of Clinical Psychiatry, 74//(8), 786-792. https://doi.org/10.4088/JCP.12m08083
Pradhan, E.K., Baumgarten, M., Langenberg, P., Handwerger, B., Gilpin, A.K., Magyari, T., ... & Berman, B.M. (2007). Effect of mindfulness-based stress reduction in rheumatoid arthritis patients. //Arthritis & Rheumatism-arthritis Care & Research, 57//(7), 1134-1142. https://doi.org/10.1002/art.23010
Arch, J.J., & Ayers, C.R. (2013). Which treatment worked better for whom? moderators of group cognitive behavioral therapy versus adapted mindfulness based stress reduction for anxiety disorders. //Behaviour Research and Therapy, 51//(8), 434-442. https://doi.org/10.1016/j.brat.2013.04.004
Matchim, Y., Armer, J.M., & Stewart, B.R. (2011). Effects of mindfulness-based stress reduction (MBSR) on health among breast cancer survivors. //Western Journal of Nursing Research, 33//(8), 996-1016. https://doi.org/10.1177/0193945910385363
Birnie, K., Garland, S.N., & Carlson, L.E. (2010). Psychological benefits for cancer patients and their partners participating in mindfulness-based stress reduction (MBSR). //Psycho-Oncology, 19//(9), 1004-1009. https://doi.org/10.1002/pon.1651
Johansson, B., Bjuhr, H., Karlsson, M., Karlsson, J.O., & Ronnback, L. (2015). Mindfulness-based stress reduction (MBSR) delivered live on the internet to individuals suffering from mental fatigue after an acquired brain injury. //Mindfulness, 6//(6), 1356-1365. https://doi.org/10.1007/s12671-015-0406-7
Cherkin, D.C., Sherman, K.J., Balderson, B.H., Turner, J.A., Cook, A.J., Stoelb, B., ... & Hawkes, R.J. (2014). Comparison of complementary and alternative medicine with conventional mind-body therapies for chronic back pain: Protocol for the mind-body approaches to pain (MAP) randomized controlled trial. //Trials, 15//, 211. https://doi.org/10.1186/1745-6215-15-211
Bremner, J.D., Mishra, S., Campanella, C., Shah, M., Kasher, N., Evans, S., ... & Carmody, J. (2017). A pilot study of the effects of mindfulness-based stress reduction on post-traumatic stress disorder symptoms and brain response to traumatic reminders of combat in operation enduring freedom/operation Iraqi freedom combat veterans with post-traumatic stress disorder. //Frontiers in Psychiatry, 8//, 157. https://doi.org/10.3389/fpsyt.2017.00157
Mackenzie, M.J., Carlson, L.E., Munoz, M., & Speca, M. (2007). A qualitative study of self-perceived effects of mindfulness-based stress reduction (MBSR) in a psychosocial oncology setting. //Stress and Health, 23//(1), 59-69. https://doi.org/10.1002/smi.1120
Rosenzweig, S., Reibel, D.K., Greeson, J.M., Brainard, G.C., & Hojat, M. (2003). Mindfulness-based stress reduction lowers psychological distress in medical students. //Teaching and Learning in Medicine, 15//(2), 88-92. https://doi.org/10.1207/S15328015TLM1502_03
Blom, K., Baker, B., How, M., Dai, M., Irvine, J., Abbey, S., ... & Tobe, S.W. (2014). Hypertension analysis of stress reduction using mindfulness meditation and yoga: Results from the harmony randomized controlled trial. //American Journal of Hypertension, 27//(1), 122-129. https://doi.org/10.1093/ajh/hpt134
Schellekens, M.P.J., Jansen, E.T.M., Willemse, H.H.M.A., van Laarhoven, H.W.M., Prins, J.B., & Speckens, A.E.M. (2016). A qualitative study on mindfulness-based stress reduction for breast cancer patients: How women experience participating with fellow patients. //Supportive Care in Cancer, 24//(4), 1813-1820. https://doi.org/10.1007/s00520-015-2954-8
Greeson, J.M., Smoski, M.J., Suarez, E.C., Brantley, J.G., Ekblad, A.G., Lynch, T.R., ... & Wolever, R.Q. (2015). Decreased symptoms of depression after mindfulness-based stress reduction: Potential moderating effects of religiosity, spirituality, trait mindfulness, sex, and age. //Journal of Alternative and Complementary Medicine, 21//(3), 166-174. https://doi.org/10.1089/acm.2014.0285
Dobkin, P.L., Bernardi, N.F., & Bagnis, C.I. (2016). Enhancing clinicians' well-being and patient-centered care through mindfulness. //Journal of Continuing Education in the Health Professions, 36//(1), 11-16. https://doi.org/10.1097/CEH.0000000000000021
Gawrysiak, M.J., Leong, S.H., Grassetti, S.N., Wai, M., Shorey, R.C., & Baime, M.J. (2016). Dimensions of distress tolerance and the moderating effects on mindfulness-based stress reduction. //Anxiety Stress and Coping, 29//(5), 552-560. https://doi.org/10.1080/10615806.2015.1085513
Matchim, Y., & Armer, J.M. (2007). Measuring the psychological impact of mindfulness meditation on health among patients with cancer: A literature review. //Oncology Nursing Forum, 34//(5), 1059-1066. https://doi.org/10.1188/07.ONF.1059-1066
Carmody, J., Crawford, S., & Churchill, L. (2006). A pilot study of mindfulness-based stress reduction for hot flashes. //Menopause: The Journal of the North American Menopause Society, 13//(5), 760-769. https://doi.org/10.1097/01.gme.0000227402.98933.d0
Crane, R.S., Stanley, S., Rooney, M., Bartley, T., Cooper, L., & Mardula, J. (2015). Disciplined improvisation: Characteristics of inquiry in mindfulness-based teaching. //Mindfulness, 6//(5), 1104-1114. https://doi.org/10.1007/s12671-014-0361-8
Cole, M.A., Muir, J.J., Gans, J.J., Shin, L.M., D'Esposito, M., Harel, B.T., ... & Schembri, A. (2015). Simultaneous treatment of neurocognitive and psychiatric symptoms in veterans with post-traumatic stress disorder and history of mild traumatic brain injury: A pilot study of mindfulness-based stress reduction. //Military Medicine, 180//(9), 956–963. https://doi.org/10.7205/MILMED-D-14-00581
Santarnecchi, E., D'Arista, S., Egiziano, E., Gardi, C., Petrosino, R., Vatti, G., ... & Rossi, A. (2014). Interaction between neuroanatomical and psychological changes after mindfulness-based training. //PLOS ONE, 9//(10), e108359. https://doi.org/10.1371/journal.pone.0108359
Gayner, B., Esplen, M.J., DeRoche, P., Wong, J.H., Bishop, S., Kavanagh, L., ... & Butler, K. (2012). A randomized controlled trial of mindfulness-based stress reduction to manage affective symptoms and improve quality of life in gay men living with HIV. //Journal of Behavioral Medicine, 35//(3), 272-285. https://doi.org/10.1007/s10865-011-9350-8
Altschuler, A., Rosenbaum, E., Gordon, P., Canales, S., & Avins, A.L. (2012). Audio recordings of mindfulness-based stress reduction training to improve cancer patients' mood and quality of life-a pilot feasibility study. //Supportive Care in Cancer, 20//(6), 1291-1297. https://doi.org/10.1007/s00520-011-1216-7
Kerr, C.E., Josyula, K., & Littenberg, R. (2011). Developing an observing attitude: An analysis of meditation diaries in an MBSR clinical trial. //Clinical Psychology & Psychotherapy, 18//(1), 80-93. https://doi.org/10.1002/cpp.700
Brown, K.W., Coogle, C.L., & Wegelin, J. (2016). A pilot randomized controlled trial of mindfulness-based stress reduction for caregivers of family members with dementia. //Aging & Mental Health, 20//(11), 1157-1166. https://doi.org/10.1080/13607863.2015.1065790
Leydon, G.M., Eyles, C., & Lewith, G.T. (2012). A mixed methods feasibility study of mindfulness meditation for fatigue in women with metastatic breast cancer. //European Journal of Integrative Medicine, 4//(4), E429-E435. https://doi.org/10.1016/j.eujim.2012.05.003
Jazaieri, H., Goldin, P.R., Werner, K., Ziv, M., & Gross, J.J. (2012). A randomized trial of MBSR versus aerobic exercise for social anxiety disorder. //Journal of Clinical Psychology, 68//(7), 715-731. https://doi.org/10.1002/jclp.21863
Thomas, J., Raynor, M., & Bakker, M.C. (2016). Mindfulness-based stress reduction among Emirati Muslim women. //Mental Health Religion & Culture, 19//(3), 295-304. https://doi.org/10.1080/13674676.2016.1168389
Turner, J.A., Anderson, M.L., Balderson, B.H., Cook, A.J., Sherman, K.J., & Cherkin, D.C. (2016). Mindfulness-based stress reduction and cognitive behavioral therapy for chronic low back pain: Similar effects on mindfulness, catastrophizing, self-efficacy, and acceptance in a randomized controlled trial. //Pain, 157//(11), 2434-2444. https://doi.org/10.1097/j.pain.0000000000000635
Knight, R.W., Bean, J., Wilton, A.S., & Lin, E. (2015). Cost-effectiveness of the mindfulness-based stress reduction methodology. //Mindfulness, 6//(6), 1379-1386. https://doi.org/10.1007/s12671-015-0408-5
Bennett, K., & Dorjee, D. (2016). The impact of a mindfulness-based stress reduction course (MBSR) on well-being and academic attainment of sixth-form students. //Mindfulness, 7//(1), 105-114. https://doi.org/10.1007/s12671-015-0430-7
Moynihan, J.A., Chapman, B.P., Klorman, R., Krasner, M.S., Duberstein, P.R., Brown, K.W., ... & Talbot, N.L. (2013). Mindfulness-based stress reduction for older adults: Effects on executive function, frontal alpha asymmetry and immune function. //Neuropsychobiology, 68//(1), 34-43. https://doi.org/10.1159/000350949
Freedenberg, V.A., Hinds, P.S., & Friedmann, E. (2017). Mindfulness-based stress reduction and group support decrease stress in adolescents with cardiac diagnoses: A randomized two-group study. //Pediatric Cardiology, 38//(7), 1415-1425. https://doi.org/10.1007/s00246-017-1679-5
Zhang, J.X., Liu, X.H., Xie, X.H., Zhao, D., Shan, M.S., Zhang, X.L., ... & Cui, H. (2015). Mindfulness-based stress reduction for chronic insomnia in adults older than 75 years: A randomized, controlled, single-blind clinical trial. //Explore: The Journal of Science and Healing, 11//(3), 180-185. https://doi.org/10.1016/j.explore.2015.02.005
Raja-Khan, N., Agito, K., Shah, J., Stetter, C.M., Gustafson, T.S., Socolow, H., ... & Legro, R.S. (2015). Mindfulness-based stress reduction for overweight/obese women with and without polycystic ovary syndrome: Design and methods of a pilot randomized controlled trial. //Contemporary Clinical Trials, 41//, 287-297. https://doi.org/10.1016/j.cct.2015.01.021
Duncan, L.G., Moskowitz, J.T., Neilands, T.B., Dilworth, S.E., Hecht, F.M., & Johnson, M.O. (2012). Mindfulness-based stress reduction for HIV treatment side effects: A randomized, wait-list controlled trial. //Journal of Pain and symptom management, 43//(2), 161-171. https://doi.org/10.1016/j.jpainsymman.2011.04.007
Wong, S.Y.S., Chan, F.W.K., Wong, R.L.P., Chu, M.C., Lam, Y.Y.K., Mercer, S.W., ... & Ma, S.H. (2011). Comparing the effectiveness of mindfulness-based stress reduction and multidisciplinary intervention programs for chronic pain a randomized comparative trial. //Clinical Journal of Pain, 27//(8), 724-734. https://doi.org/10.1097/AJP.0b013e3182183c6e
Ardito, R.B., Pirro, P.S., Re, T.S., Bonapace, I., Menardo, V., Bruno, E., ... & Gianotti, L. (2017). Mindfulness-based stress reduction program on chronic low-back pain: A study investigating the impact on endocrine, physical, and psychologic functioning. //Journal of Alternative and Complementary Medicine, 23//(8), 615-623. https://doi.org/10.1089/acm.2016.0423
Mallya, S., & Fiocco, A.J. (2016). Effects of mindfulness training on cognition and well-being in healthy older adults. //Mindfulness, 7//(2), 453-465. https://doi.org/10.1007/s12671-015-0468-6
Goldin, P., Ziv, M., Jazaieri, H., Hahn, K., & Gross, J.J. (2013). MBSR vs aerobic exercise in social anxiety: fMRI of emotion regulation of negative self-beliefs. //Social Cognitive and Affective Neuroscience, 8//(1), 65-72. https://doi.org/10.1093/scan/nss054
Marchand, W.R. (2012). Mindfulness-based stress reduction, mindfulness-based cognitive therapy, and zen meditation for depression, anxiety, pain, and psychological distress. //Journal of Psychiatric Practice, 18//(4), 233-252. https://doi.org/10.1097/01.pra.0000416014.53215.86
Robinson, F.P., Mathews, H.L., & Witek-Janusek, L. (2003). Psycho-endocrine-immune response to mindfulness-based stress reduction in individuals infected with the human immunodeficiency virus: A quasi-experimental study. //Journal of Alternative and Complementary Medicine, 9//(5), 683-694. https://doi.org/10.1089/107555303322524535
Carlson, L.E., Speca, M., Faris, P., & Patel, K.D. (2007). One year pre-post intervention follow-up of psychological, immune, endocrine and blood pressure outcomes of mindfulness-based stress reduction (MBSR) in breast and prostate cancer outpatients. //Brain Behavior and Immunity, 21//(8), 1038-1049. https://doi.org/10.1016/j.bbi.2007.04.002
Van Vliet, K.J., Foskett, A.J., Williams, J.L., Singhal, A., Dolcos, F., & Vohra, S. (2017). Impact of a mindfulness-based stress reduction program from the perspective of adolescents with serious mental health concerns. //Child and Adolescent Mental Health, 22//(1), 16-22. https://doi.org/10.1111/camh.12170
Goldin, P.R., & Gross, J.J. (2010). Effects of mindfulness-based stress reduction (MBSR) on emotion regulation in social anxiety disorder. //Emotion, 10//(1), 83-91. https://doi.org/10.1037/a0018441
Evans, S., Ferrando, S., Carr, C., & Haglin, D. (2011). Mindfulness-based stress reduction (MBSR) and distress in a community-based sample. //Clinical Psychology & Psychotherapy, 18//(6), 553-558. https://doi.org/10.1002/cpp.727
Robb, S.W., Benson, K., Middleton, L., Meyers, C., & Hebert, J.R. (2015). Mindfulness-based stress reduction teachers, practice characteristics, cancer incidence, and health: A nationwide ecological description. //BMC Complementary and Alternative Medicine, 15//, 24. https://doi.org/10.1186/s12906-015-0545-3
Fulwiler, C., Siegel, J.A., Allison, J., Rosal, M.C., Brewer, J., & King, J.A. (2016). Keeping weight off: Study protocol of an RCT to investigate brain changes associated with mindfulness-based stress reduction. //BMJ Open, 6//(11), e012573. https://doi.org/10.1136/bmjopen-2016-012573
Plews-Ogan, M., Owens, J.E., Goodman, M., Wolfe, P., & Schorling, J. (2005). Brief report: A pilot study evaluating mindfulness-based stress reduction and massage for the management of chronic pain. //Journal of General Internal Medicine, 20//(12), 1136-1138. https://doi.org/10.1111/j.1525-1497.2005.0247.x
Gao, J.L., Fan, J.C., Wu, B.W.Y., Zhang, Z.G., Chang, C.Q., Hung, Y.S., ... & Sik, H.H. (2016). Entrainment of chaotic activities in brain and heart during MBSR mindfulness training. //Neuroscience Letters, 616//, 218-223. https://doi.org/10.1016/j.neulet.2016.01.001
Henderson, V.P., Massion, A.O., Clemow, L., Hurley, T.G., Druker, S., & Hebert, J.R. (2013). A randomized controlled trial of mindfulness-based stress reduction for women with early-stage breast cancer receiving radiotherapy. //Integrative Cancer Therapies, 12//(5), 404-413. https://doi.org/10.1177/1534735412473640
Hoge, E.A., Bui, E., Goetter, E., Robinaugh, D.J., Ojserkis, R.A., Fresco, D.M., ... & Simon, N.M. (2015). Change in decentering mediates improvement in anxiety in mindfulness-based stress reduction for generalized anxiety disorder. //Cognitive Therapy and Research, 39//(2), 228-235. https://doi.org/10.1007/s10608-014-9646-4
Johansson, B., Bjuhr, H., & Ronnback, L. (2012). Mindfulness-based stress reduction (MBSR) improves long-term mental fatigue after stroke or traumatic brain injury. //Brain Injury, 26//(13-14), 1621-1628. https://doi.org/10.3109/02699052.2012.700082
Lange, B. (2011). Cocreating a communicative space to develop a mindfulness meditation manual for women in recovery from substance abuse disorders. //Advances in Nursing Science, 34//(3), E1-E13. https://doi.org/10.1097/ANS.0b013e3182272405
Muller-Engelmann, M., Wunsch, S., Volk, M., & Steil, R. (2017). Mindfulness-based stress reduction (MBSR) as a standalone intervention for posttraumatic stress disorder after mixed traumatic events: A mixed-methods feasibility study. //Frontiers in Psychology, 8//, 1407. https://doi.org/10.3389/fpsyg.2017.01407
Serpa, J.G., Taylor, S.L., & Tillisch, K. (2014). Mindfulness-based stress reduction (MBSR) reduces anxiety, depression, and suicidal ideation in veterans. //Medical Care, 52//(12), S19-S24. https://doi.org/10.1097/MLR.0000000000000202
Hubbling, A., Reilly-Spong, M., Kreitzer, M.J., & Gross, C.R. (2014). How mindfulness changed my sleep: Focus groups with chronic insomnia patients. //BMC Complementary and Alternative Medicine, 14//, 50. https://doi.org/10.1186/1472-6882-14-50
Arefnasab, Z., Ghanei, M., Noorbala, A.A., Ali-Pour, A., Babamahmoodi, F., Babamahmoodi, A., ... & Salehi, M. (2013). Effect of mindfulness based stress reduction on quality of life (SF-36) and spirometry parameters, in chemically pulmonary injured veterans. //Iranian Journal of Public Health, 42//(9), 1026-1033.
Gross, C.R., Kreitzer, M.J., Reilly-Spong, M., Wall, M., Winbush, N.Y., Patterson, R., ... & Cramer-Bornemann, M. (2011). Mindfulness-based stress reduction versus pharmacotherapy for chronic primary insomnia: A randomized controlled clinical trial. //Explore: The Journal of Science and Healing, 7//(2), 76-87. https://doi.org/10.1016/j.explore.2010.12.003
Grossman, P., Tiefenthaler-Gilmer, U., Raysz, A., & Kesper, U. (2007). Mindfulness training as an intervention for fibromyalgia: Evidence of postintervention and 3-year follow-up benefits in well-being. //Psychotherapy and Psychosomatics, 76//(4), 226-233. https://doi.org/10.1159/000101501
Garland, S.N., Carlson, L.E., Cook, S., Lansdell, L., & Speca, M. (2007). A non-randomized comparison of mindfulness-based stress reduction and healing arts programs for facilitating post-traumatic growth and spirituality in cancer outpatients. //Supportive Care in Cancer, 15//(8), 949-961. https://doi.org/10.1007/s00520-007-0280-5
Ernst, S., Welke, J., Heintze, C., Gabriel, R., Zollner, A., Kiehne, S., ... & Esch, T. (2008). Effects of mindfulness-based stress reduction on quality of life in nursing home residents: A feasibility study. //Forschende Komplementarmedizin, 15//(2), 74-81. https://doi.org/10.1159/000121479
Dobie, A., Tucker, A., Ferrari, M., & Rogers, J.M. (2016). Preliminary evaluation of a brief mindfulness-based stress reduction intervention for mental health professionals. //Australasian Psychiatry, 24//(1), 42-45. https://doi.org/10.1177/1039856215618524
Sibinga, E.M.S., Webb, L., Ghazarian, S.R., & Ellen, J.M. (2016). School-based mindfulness instruction: An RCT. //Pediatrics, 137//(1), e20152532. https://doi.org/10.1542/peds.2015-2532
Frank, J.L., Reibel, D., Broderick, P., Cantrell, T., & Metz, S. (2015). The effectiveness of mindfulness-based stress reduction on educator stress and well-being: Results from a pilot study. //Mindfulness, 6//(2), 208-216. https://doi.org/10.1007/s12671-013-0246-2
Vollestad, J., Sivertsen, B., & Nielsen, G.F. (2011). Mindfulness-based stress reduction for patients with anxiety disorders: Evaluation in a randomized controlled trial. //Behaviour Research and Therapy, 49//(4), 281-288. https://doi.org/10.1016/j.brat.2011.01.007
Shapiro, S.L., Brown, K.W., Thoresen, C., & Plante, T.G. (2011). The moderation of mindfulness-based stress reduction effects by trait mindfulness: Results from a randomized controlled trial. //Journal of Clinical Psychology, 67//(3), 267-277. https://doi.org/10.1002/jclp.20761
Kearney, D.J., McDermott, K., Martinez, M., & Simpson, T.L. (2011). Association of participation in a mindfulness programme with bowel symptoms, gastrointestinal symptom-specific anxiety and quality of life. //Alimentary Pharmacology & Therapeutics, 34//(3), 363-373. https://doi.org/10.1111/j.1365-2036.2011.04731.x
Mitchell, M., & Heads, G. (2015). Staying well: A follow up of a 5-week mindfulness based stress reduction programme for a range of psychological issues. //Community Mental Health Journal, 51//(8), 897-902. https://doi.org/10.1007/s10597-014-9825-5
Birnie, K., Speca, M., & Carlson, L.E. (2010). Exploring self-compassion and empathy in the context of mindfulness-based stress reduction (MBSR). //Stress and Health, 26//(5), 359-371. https://doi.org/10.1002/smi.1305
Faucher, J., Koszycki, D., Bradwejn, J., Merali, Z., & Bielajew, C. (2016). Effects of CBT versus MBSR treatment on social stress reactions in social anxiety disorder. //Mindfulness, 7//(2), 514-526. https://doi.org/10.1007/s12671-015-0486-4
Wells, R.E., Yeh, G.Y., Kerr, C.E., Wolkin, J., Davis, R.B., Tan, Y., ... & Kong, J. (2013). Meditation's impact on default mode network and hippocampus in mild cognitive impairment: A pilot study. //Neuroscience Letters, 556//, 15-19. https://doi.org/10.1016/j.neulet.2013.10.001
Garland, S.N., Carlson, L.E., Stephens, A.J., Antle, M.C., Samuels, C., & Campbell, T.S. (2014). Mindfulness-based stress reduction compared with cognitive behavioral therapy for the treatment of insomnia comorbid with cancer: A randomized, partially blinded, noninferiority trial. //Journal of Clinical Oncology, 32//(5), 449-457. https://doi.org/10.1200/JCO.2012.47.7265
Imel, Z., Baldwin, S., Bonus, K., & MacCoon, D. (2008). Beyond the individual: Group effects in mindfulness-based stress reduction. //Psychotherapy Research, 18//(6), 735-742. https://doi.org/10.1080/10503300802326038
Grossman, P., Niemann, L., Schmidt, S., & Walach, H. (2004). Mindfulness-based stress reduction and health benefits: A meta-analysis. //Journal of Psychosomatic Research, 57//(1), 35-43. https://doi.org/10.1016/S0022-3999(03)00573-7
Thurston, M.D., Goldin, P., Heimberg, R., & Gross, J.J. (2017). Self-views in social anxiety disorder: The impact of CBT versus MBSR. //Journal of Anxiety Disorders, 47//, 83-90. https://doi.org/10.1016/j.janxdis.2017.01.001
Joo, H.M., Lee, S.J., Chung, Y.G., & Shin, I.Y. (2010). Effects of mindfulness based stress reduction program on depression, anxiety and stress in patients with aneurysmal subarachnoid hemorrhage. //Journal of Korean Neurosurgical Society, 47//(5), 345-351. https://doi.org/10.3340/jkns.2010.47.5.345
Huang, H.P., He, M., Wang, H.Y., & Zhou, M.J. (2016). A meta-analysis of the benefits of mindfulness-based stress reduction (MBSR) on psychological function among breast cancer (BC) survivors. //Breast Cancer, 23//(4), 568-576. https://doi.org/10.1007/s12282-015-0604-0
Henderson, V., Clemow, L., Massion, A., Hurley, T., Druker, S., & Hebert, J.R. (2012). The effects of mindfulness-based stress reduction on psychosocial outcomes and quality of life in early-stage breast cancer patients: A randomized trial. //Breast Cancer research and treatment, 131//(1), 99-109. https://doi.org/10.1007/s10549-011-1738-1
Jha, A.P., Krompinger, J., & Baime, M.J. (2007). Mindfulness training modifies subsystems of attention. //Cognitive Affective & Behavioral Neuroscience, 7//(2), 109-119. https://doi.org/10.3758/CABN.7.2.109
Roland, L.T., Lenze, E.J., Hardin, F.M., Kallogjeri, D., Nicklaus, J., Wineland, A.M., ... & Piccirillo, J.F. (2015). Effects of mindfulness based stress reduction therapy on subjective bother and neural connectivity in chronic tinnitus. //Otolaryngology-Head and Neck Surgery, 152//(5), 919-926. https://doi.org/10.1177/0194599815571556
Lengacher, C.A., Reich, R.R., Kip, K.E., Barta, M., Ramesar, S., Paterson, C.L., ... & Park, J.Y. (2014). Influence of mindfulness-based stress reduction (MBSR) on telomerase activity in women with breast cancer (BC). //Biological Research for Nursing, 16//(4), 438-447. https://doi.org/10.1177/1099800413519495
SeyedAlinaghi, S., Jam, S., Foroughi, M., Imani, A., Mohraz, M., Djavid, G.E., ... & Black, D.S. (2012). Randomized controlled trial of mindfulness-based stress reduction delivered to human immunodeficiency virus–positive patients in Iran: Effects on CD4+ T lymphocyte count and medical and psychological symptoms. //Psychosomatic Medicine, 74//(6), 620-627. https://doi.org/10.1097/PSY.0b013e31825abfaa
Kearney, D.J., Milton, M.L., Malte, C.A., McDermott, K.A., Martinez, M., & Simpson, T.L. (2012). Participation in mindfulness-based stress reduction is not associated with reductions in emotional eating or uncontrolled eating. //Nutrition Research, 32//(6), 413-420. https://doi.org/10.1016/j.nutres.2012.05.008
Gold, E., Smith, A., Hopper, I., Herne, D., Tansey, G., & Hulland, C. (2010). Mindfulness-based stress reduction (MBSR) for primary school teachers. //Journal of Child and Family Studies, 19//(2), 184-189. https://doi.org/10.1007/s10826-009-9344-0
Holzel, B.K., Carmody, J., Vangel, M., Congleton, C., Yerramsetti, S.M., Gard, T., ... & Lazar, S.W. (2011). Mindfulness practice leads to increases in regional brain gray matter density. //Psychiatry Research-neuroimaging, 191//(1), 36-43. https://doi.org/10.1016/j.pscychresns.2010.08.006
Biegel, G.M., Brown, K.W., Shapiro, S.L., & Schubert, C.A. (2009). Mindfulness-based stress reduction for the treatment of adolescent psychiatric outpatients: A randomized clinical trial. //Journal of Consulting and Clinical Psychology, 77//(5), 855-866. https://doi.org/10.1037/a0016241
Gotink, R.A., Chu, P., Busschbach, J.J.V., Benson, H., Fricchione, G.L., & Hunink, M.G.M. (2015). Standardised mindfulness-based interventions in healthcare: An overview of systematic reviews and meta-analyses of rcts. //PLOS ONE, 10//(4), e0124344. https://doi.org/10.1371/journal.pone.0124344
Hawley, L.L., Schwartz, D., Bieling, P.J., Irving, J., Corcoran, K., Farb, N.A.S., ... & Segal, Z.V. (2014). Mindfulness practice, rumination and clinical outcome in mindfulness-based treatment. //Cognitive Therapy and Research, 38//(1), 1-9. https://doi.org/10.1007/s10608-013-9586-4
Sasikumar, (2017). Effects of mindfulness based stress reduction (MBSR) on stress, depression and mindfulness among type 2 diabetics - A randomized pilot study. //Indian Journal of Traditional Knowledge, 16//(4), 654-659.
Ali, A., Weiss, T.R., Dutton, A., McKee, D., Jones, K.D., Kashikar-Zuck, S., ... & Shapiro, E.D. (2017). Mindfulness-based stress reduction for adolescents with functional somatic syndromes: A pilot cohort study. //Journal of Pediatrics, 183//, 184-190. https://doi.org/10.1016/j.jpeds.2016.12.053
Sgalla, G., Cerri, S., Ferrari, R., Ricchieri, M.P., Poletti, S., Ori, M., ... & Richeldi, L. (2015). Mindfulness-based stress reduction in patients with interstitial lung diseases: A pilot, single-centre observational study on safety and efficacy. //BMJ Open respiratory research, 2//(1), e000065. https://doi.org/10.1136/bmjresp-2014-000065
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2013). Effects of participation in a mindfulness program for veterans with posttraumatic stress disorder: A randomized controlled pilot study. //Journal of Clinical Psychology, 69//(1), 14-27. https://doi.org/10.1002/jclp.21911
Koszycki, D., Benger, M., Shlik, J., & Bradwejn, J. (2007). Randomized trial of a meditation-based stress reduction program and cognitive behavior therapy in generalized social anxiety disorder. //Behaviour Research and Therapy, 45//(10), 2518-2526. https://doi.org/10.1016/j.brat.2007.04.011
Asl, N.R.H., & Hosseinalipour, F. (2014). Effectiveness of mindfulness-based stress reduction intervention for health-related quality of life in drug-dependent males. //Iranian Red Crescent Medical Journal, 16//(9), e12608. https://doi.org/10.5812/ircmj.12608
Robins, C.J., Keng, S.L., Ekblad, A.G., & Brantley, J.G. (2012). Effects of mindfulness-based stress reduction on emotional experience and expression: A randomized controlled trial. //Journal of Clinical Psychology, 68//(1), 117-131. https://doi.org/10.1002/jclp.20857
Hjeltnes, A., Molde, H., Schanche, E., Vollestad, J., Svendsen, J.L., Moltu, C., ... & Binder, P.E. (2017). An open trial of mindfulness-based stress reduction for young adults with social anxiety disorder. //Scandinavian Journal of Psychology, 58//(1), 80-90. https://doi.org/10.1111/sjop.12342
Carroll, D., Lange, B., Liehr, P., Raines, S., & Marcus, M.T. (2008). Evaluating mindfulness-based stress reduction: Analyzing stories of stress to formulate focus group questions. //Archives of Psychiatric Nursing, 22//(2), 107-109. https://doi.org/10.1016/j.apnu.2007.12.004
Goldberg, S.B., Wielgosz, J., Dahl, C., Schuyler, B., MacCoon, D.S., Rosenkranz, M., ... & Davidson, R.J. (2016). Does the five facet mindfulness questionnaire measure what we think it does? Construct validity evidence from an active controlled randomized clinical trial. //Psychological Assessment, 28//(8), 1009-1014. https://doi.org/10.1037/pas0000233
Gouda, S., Luong, M.T., Schmidt, S., & Bauer, J. (2016). Students and teachers benefit from mindfulness-based stress reduction in a school-embedded pilot study. //Frontiers in Psychology, 7//, 590. https://doi.org/10.3389/fpsyg.2016.00590
Hoffman, C.J., Ersser, S.J., Hopkinson, J.B., Nicholls, P.G., Harrington, J.E., & Thomas, P.W. (2012). Effectiveness of mindfulness-based stress reduction in mood, breast- and endocrine-related quality of life, and well-being in stage 0 to iii breast cancer: A randomized, controlled trial. //Journal of Clinical Oncology, 30//(12), 1335-1342. https://doi.org/10.1200/JCO.2010.34.0331
Bajaj, J.S., Ellwood, M., Ainger, T., Burroughs, T., Fagan, A., Gavis, E.A., ... & Wade, J.B. (2017). Mindfulness-based stress reduction therapy improves patient and caregiver-reported outcomes in cirrhosis. //Clinical and Translational Gastroenterology, 8//, e108. https://doi.org/10.1038/ctg.2017.38
Levoy, E., Lazaridou, A., Brewer, J., & Fulwiler, C. (2017). An exploratory study of mindfulness based stress reduction for emotional eating. //Appetite, 109//, 124-130. https://doi.org/10.1016/j.appet.2016.11.029
Gross, C.R., Kreitzerb, M.J., Reilly-Spong, M., Winbush, N.Y., Schomaker, E.K., & Thomas, W. (2009). Mindfulness meditation training to reduce symptom distress in transplant patients: Rationale, design, and experience with a recycled waitlist. //Clinical Trials, 6//(1), 76-89. https://doi.org/10.1177/1740774508100982
Shapiro, S.L., Brown, K.W., & Biegel, G.M. (2007). Teaching self-care to caregivers: Effects of mindfulness-based stress reduction on the mental health of therapists in training. //Training and Education in Professional Psychology, 1//(2), 105-115. https://doi.org/10.1037/1931-3918.1.2.105
Neece, C.L. (2014). Mindfulness-based stress reduction for parents of young children with developmental delays: Implications for parental mental health and child behavior problems. //Journal of Applied Research in Intellectual Disabilities, 27//(2), 174-186. https://doi.org/10.1111/jar.12064
Creswell, J.D., Irwin, M.R., Burklund, L.J., Lieberman, M.D., Arevalo, J.M.G., Ma, J., ... & Cole, S.W. (2012). Mindfulness-based stress reduction training reduces loneliness and pro-inflammatory gene expression in older adults: A small randomized controlled trial. //Brain Behavior and Immunity, 26//(7), 1095-1101. https://doi.org/10.1016/j.bbi.2012.07.006
Matousek, R.H., & Dobkin, P.L. (2010). Weathering storms: A cohort study of how participation in a mindfulness-based stress reduction program benefits women after breast cancer treatment. //Current Oncology, 17//(4), 62-70.
Johns, S.A., Brown, L.F., Beck-Coon, K., Monahan, P.O., Tong, Y., & Kroenke, K. (2015). Randomized controlled pilot study of mindfulness-based stress reduction for persistently fatigued cancer survivors. //Psycho-Oncology, 24//(8), 885-893. https://doi.org/10.1002/pon.3648
Kelly, A. (2015). Trauma-informed mindfulness-based stress reduction: A promising new model for working with survivors of interpersonal violence. //Smith College Studies in Social Work, 85//(2), 194-219. https://doi.org/10.1080/00377317.2015.1021191
Azulay, J., Smart, C.M., Mott, T., & Cicerone, K.D. (2013). A pilot study examining the effect of mindfulness-based stress reduction on symptoms of chronic mild traumatic brain injury/postconcussive syndrome. //Journal of Head Trauma Rehabilitation, 28//(4), 323-331. https://doi.org/10.1097/HTR.0b013e318250ebda
Ong, J.C., Manber, R., Segal, Z., Xia, Y.L., Shapiro, S., & Wyatt, J.K. (2014). A randomized controlled trial of mindfulness meditation for chronic insomnia. //Sleep, 37//(9), 1553-1563. https://doi.org/10.5665/sleep.4010
Bablas, V., Yap, K., Cunnington, D., Swieca, J., & Greenwood, K.M. (2016). Mindfulness-based stress reduction for restless legs syndrome: A proof of concept trial. //Mindfulness, 7//(2), 396-408. https://doi.org/10.1007/s12671-015-0457-9
Riley, K.E., & Kalichman, S. (2015). Mindfulness-based stress reduction for people living with HIV/AIDS: Preliminary review of intervention trial methodologies and findings. //Health Psychology review, 9//(2), 224-243. https://doi.org/10.1080/17437199.2014.895928
Wurtzen, H., Dalton, S.O., Elsass, P., Sumbundu, A.D., Steding-Jensen, M., Karlsen, R.V., ... & Johansen, C. (2013). Mindfulness significantly reduces self-reported levels of anxiety and depression: Results of a randomised controlled trial among 336 danish women treated for stage I-III breast cancer. //European Journal of Cancer, 49//(6), 1365-1373. https://doi.org/10.1016/j.ejca.2012.10.030
Dutton, M.A., Bermudez, D., Matas, A., Majid, H., & Myers, N.L. (2013). Mindfulness-based stress reduction for low-income, predominantly African American women with PTSD and a history of intimate partner violence. //Cognitive and Behavioral Practice, 20//(1), 23-32. https://doi.org/10.1016/j.cbpra.2011.08.003
Bazzano, A., Wolfe, C., Zylowska, L., Wang, S., Schuster, E., Barrett, C., ... & Lehrer, D. (2015). Mindfulness based stress reduction (MBSR) for parents and caregivers of individuals with developmental disabilities: A community-based approach. //Journal of Child and Family Studies, 24//(2), 298-308. https://doi.org/10.1007/s10826-013-9836-9
Schellekens, M.P.J., van den Hurk, D.G.M., Prins, J.B., Molema, J., Donders, A.R.T., Woertman, W.H., ... & Speckens, A.E.M. (2014). Study protocol of a randomized controlled trial comparing mindfulness-based stress reduction with treatment as usual in reducing psychological distress in patients with lung cancer and their partners: The milon study. //BMC Cancer, 14//, 3. https://doi.org/10.1186/1471-2407-14-3
Sik, H.H., Gao, J.L., Fan, J.C., Wu, B.W.Y., Leung, H.K., & Hung, Y.S. (2017). Using wavelet entropy to demonstrate how mindfulness practice increases coordination between irregular cerebral and cardiac activities. //JoVE: Journal of Visualized Experiments, 10//(123), e55455. https://doi.org/10.3791/55455
Zolnierczyk-Zreda, D., Sanderson, M., & Bedynska, S. (2016). Mindfulness-based stress reduction for managers: A randomized controlled study. //Occupational Medicine-oxford, 66//(8), 630-635. https://doi.org/10.1093/occmed/kqw091
Nyklicek, I., & Kuijpers, K.F. (2008). Effects of mindfulness-based stress reduction intervention on psychological well-being and quality of life: Is increased mindfulness indeed the mechanism?. //Annals of Behavioral Medicine, 35//(3), 331-340. https://doi.org/10.1007/s12160-008-9030-2
Gross, C.R., Kreitzer, M.J., Russas, V., Treesak, C., Frazier, P.A., & Hertz, M.I. (2004). Mindfulness meditation to reduce symptoms after organ transplant: A pilot study. //Alternative Therapies in Health and Medicine, 10//(3), 58-66.
Saxe, G.A., Hebert, J.R., Carmody, J.F., Kabat-Zinn, J., Rosenzweig, P.H., Jarzobski, D., ... & Blute, R.D. (2001). Can diet in conjunction with stress reduction affect the rate of increase in prostate specific antigen after biochemical recurrence of prostate cancer?. //Journal of Urology, 166//(6), 2202-2207. https://doi.org/10.1016/S0022-5347(05)65535-8
Gillespie, B., Davey, M.P., & Flemke, K. (2015). Intimate partners' perspectives on the relational effects of mindfulness-based stress reduction training: A qualitative research study. //Contemporary Family Therapy, 37//(4), 396-407. https://doi.org/10.1007/s10591-015-9350-x
Henry, C.L., & Crowley, S.L. (2015). The psychological and physiological effects of using a therapy dog in mindfulness training. //Anthrozoos, 28//(3), 385-401. https://doi.org/10.1080/08927936.2015.1052272
Rosenkranz, M.A., Davidson, R.J., MacCoon, D.G., Sheridan, J.F., Kalin, N.H., & Lutz, A. (2013). A comparison of mindfulness-based stress reduction and an active control in modulation of neurogenic inflammation. //Brain Behavior and Immunity, 27//, 174-184. https://doi.org/10.1016/j.bbi.2012.10.013
Chang, V.Y., Palesh, O., Caldwell, R., Glasgow, N., Abramson, M., Luskin, F., ... & Koopman, C. (2004). The effects of a mindfulness-based stress reduction program on stress, mindfulness self-efficacy, and positive states of mind. //Stress and Health, 20//(3), 141-147. https://doi.org/10.1002/smi.1011
Bishop, S.R. (2002). What do we really know about mindfulness-based stress reduction?. //Psychosomatic Medicine, 64//(1), 71-83. http://psycnet.apa.org/doi/10.1097/00006842-200201000-00010
Aherne, D., Farrant, K., Hickey, L., Hickey, E., McGrath, L., & McGrath, D. (2016). Mindfulness based stress reduction for medical students: Optimising student satisfaction and engagement. //BMC Medical Education, 16//, 209. https://doi.org/10.1186/s12909-016-0728-8
Snippe, E., Nyklicek, I., Schroevers, M.J., & Bos, E.H. (2015). The temporal order of change in daily mindfulness and affect during mindfulness-based stress reduction. //Journal of Counseling Psychology, 62//(2), 106-114. https://doi.org/10.1037/cou0000057
Baer, R.A., Carmody, J., & Hunsinger, M. (2012). Weekly change in mindfulness and perceived stress in a mindfulness-based stress reduction program. //Journal of Clinical Psychology, 68//(7), 755-765. https://doi.org/10.1002/jclp.21865
Whitebird, R.R., Kreitzer, M., Crain, A.L., Lewis, B.A., Hanson, L.R., & Enstad, C.J. (2013). Mindfulness-based stress reduction for family caregivers: A randomized controlled trial. //Gerontologist, 53//(4), 676-686. https://doi.org/10.1093/geront/gns126
Branstrom, R., Kvillemo, P., & Akerstedt, T. (2013). Effects of mindfulness training on levels of cortisol in cancer patients. //Psychosomatics, 54//(2), 158-164. https://doi.org/10.1016/j.psym.2012.04.007
Martin-Asuero, A., & Garcia-Banda, G. (2010). The mindfulness-based stress reduction program (MBSR) reduces stress-related psychological distress in healthcare professionals. //Spanish Journal of Psychology, 13//(2), 897-905. https://doi.org/10.1017/S1138741600002547
Carmody, J., & Baer, R.A. (2009). How long does a mindfulness-based stress reduction program need to be? A review of class contact hours and effect sizes for psychological distress. //Journal of Clinical Psychology, 65//(6), 627-638. https://doi.org/10.1002/jclp.20555
Anderson, N.D., Lau, M.A., Segal, Z.V., & Bishop, S.R. (2007). Mindfulness-based stress reduction and attentional control. //Clinical Psychology & Psychotherapy, 14//(6), 449-463. https://doi.org/10.1002/cpp.544
Del Re, A.C., Fluckiger, C., Goldberg, S.B., & Hoyt, W.T. (2013). Monitoring mindfulness practice quality: An important consideration in mindfulness practice. //Psychotherapy Research, 23//(1), 54-66. https://doi.org/10.1080/10503307.2012.729275
Dobkin, P.L., Irving, J.A., & Amar, S. (2012). For whom may participation in a mindfulness-based stress reduction program be contraindicated?. //Mindfulness, 3//(1), 44-50. https://doi.org/10.1007/s12671-011-0079-9
Freedenberg, V.A., Thomas, S.A., & Friedmann, E. (2015). A pilot study of a mindfulness based stress reduction program in adolescents with implantable cardioverter defibrillators or pacemakers. //Pediatric Cardiology, 36//(4), 786-795. https://doi.org/10.1007/s00246-014-1081-5
Schmidt, S., Gmeiner, S., Schultz, C., Lower, M., Kuhn, K., Naranjo, J.R., ... & Hinterberger, T. (2015). Mindfulness-based stress reduction (MBSR) as treatment for chronic back pain - An observational study with assessment of thalamocortical dysrhythmia. //Forschende Komplementarmedizin, 22//(5), 298-303. https://doi.org/10.1159/000440687
Sizoo, B.B., & Kuiper, E. (2017). Cognitive behavioural therapy and mindfulness based stress reduction may be equally effective in reducing anxiety and depression in adults with autism spectrum disorders. //Research in Developmental Disabilities, 64//, 47-55. https://doi.org/10.1016/j.ridd.2017.03.004
Creswell, J.D., Myers, H.F., Cole, S.W., & Irwin, M.R. (2009). Mindfulness meditation training effects on CD4+ T lymphocytes in HIV-1 infected adults: A small randomized controlled trial. //Brain Behavior and Immunity, 23//(2), 184-188. https://doi.org/10.1016/j.bbi.2008.07.004
Minor, H.G., Carlson, L.E., Mackenzie, M.J., Zernicke, K., & Jones, L. (2006). Evaluation of a mindfulness-based stress reduction (MBSR) program for caregivers of children with chronic, conditions. //Social Work in health care, 43//(1), 91-109. https://doi.org/10.1300/J010v43n01_06
Shapiro, S.L., Bootzin, R.R., Figueredo, A.J., Lopez, A.M., & Schwartz, G.E. (2003). The efficacy of mindfulness-based stress reduction in the treatment of sleep disturbance in women with breast cancer - an exploratory study. //Journal of Psychosomatic Research, 54//(1), 85-91. https://doi.org/10.1016/S0022-3999(02)00546-9
Crisp, C.D., Hastings-Tolsma, M., & Jonscher, K.R. (2016). Mindfulness-based stress reduction for military women with chronic pelvic pain: A feasibility study. //Military Medicine, 181//(9), 982-989. https://doi.org/10.7205/MILMED-D-15-00354
Kabat-Zinn, J. (2011). Some reflections on the origins of MBSR, skillful means, and the trouble with maps. //Contemporary Buddhism, 12//(1), 281-306. https://doi.org/10.1080/14639947.2011.564844
Ramel, W., Goldin, P.R., Carmona, P.E., & McQuaid, J.R. (2004). The effects of mindfulness meditation on cognitive processes and affect in patients with past depression. //Cognitive Therapy and Research, 28//(4), 433-455. https://doi.org/10.1023/B:COTR.0000045557.15923.96
Ramler, T.R., Tennison, L.R., Lynch, J., & Murphy, P. (2016). Mindfulness and the college transition: The efficacy of an adapted mindfulness-based stress reduction intervention in fostering adjustment among first-year students. //Mindfulness, 7//(1), 179-188. https://doi.org/10.1007/s12671-015-0398-3
Irving, J.A., Park-Saltzman, J., Fitzpatrick, M., Dobkin, P.L., Chen, A., & Hutchinson, T. (2014). Experiences of health care professionals enrolled in mindfulness-based medical practice: A grounded theory model. //Mindfulness, 5//(1), 60-71. https://doi.org/10.1007/s12671-012-0147-9
Hoge, E.A., Guidos, B.M., Mete, M., Bui, E., Pollack, M.H., Simon, N.M., ... & Dutton, M.A. (2017). Effects of mindfulness meditation on occupational functioning and health care utilization in individuals with anxiety. //Journal of Psychosomatic Research, 95//, 7-11. https://doi.org/10.1016/j.jpsychores.2017.01.011
Thompson, B. (2009). Mindfulness-based stress reduction for people with chronic conditions. //British Journal of Occupational Therapy, 72//(9), 405-410. https://doi.org/10.1177/030802260907200907
Hazlett-Stevens, H. (2012). Mindfulness-based stress reduction for comorbid anxiety and depression case report and clinical considerations. //Journal of Nervous and Mental Disease, 200//(11), 999-1003. https://doi.org/10.1097/NMD.0b013e3182718a61
Carmody, J.F., Crawford, S., Salmoirago-Blotcher, E., Leung, K., Churchill, L., & Olendzki, N. (2011). Mindfulness training for coping with hot flashes: Results of a randomized trial. //Menopause: The Journal of the North American Menopause Society, 18//(6), 611-620. https://doi.org/10.1097/gme.0b013e318204a05c
Petersen, M., & la Cour, P. (2016). Mindfulness-what works for whom? Referral, feasibility, and user perspectives regarding patients with mixed chronic pain. //Journal of Alternative and Complementary Medicine, 22//(4), 298-305. https://doi.org/10.1089/acm.2015.0310
Marchand, W.R. (2013). Mindfulness meditation practices as adjunctive treatments for psychiatric disorders. //Psychiatric Clinics of North America, 36//(1), 141-152. https://doi.org/10.1016/j.psc.2013.01.002
Garland, S.N., Tamagawa, R., Todd, S.C., Speca, M., & Carlson, L.E. (2013). Increased mindfulness is related to improved stress and mood following participation in a mindfulness-based stress reduction program in individuals with cancer. //Integrative Cancer Therapies, 12//(1), 31-40. https://doi.org/10.1177/1534735412442370
Brady, S., O'Connor, N., Burgermeister, D., & Hanson, P. (2012). The impact of mindfulness meditation in promoting a culture of safety on an acute psychiatric unit. //Perspectives in Psychiatric Care, 48//(3), 129-137. https://doi.org/10.1111/j.1744-6163.2011.00315.x
Rosenzweig, S., Greeson, J.M., Reibel, D.K., Green, J.S., Jasser, S.A., & Beasley, D. (2010). Mindfulness-based stress reduction for chronic pain conditions: Variation in treatment outcomes and role of home meditation practice. //Journal of Psychosomatic Research, 68//(1), 29-36. https://doi.org/10.1016/j.jpsychores.2009.03.010
Leung, L., Han, H., Martin, M., & Kotecha, J. (2015). Mindfulness-based stress reduction (MBSR) as sole intervention for non-somatisation chronic non-cancer pain (CNCP): Protocol for a systematic review and meta-analysis of randomised controlled trials. //BMJ Open, 5//(5), e007650. https://doi.org/10.1136/bmjopen-2015-007650
Vinesett, A.L., Whaley, R.R., Woods-Giscombe, C., Dennis, P., Johnson, M., Li, Y., ... & Wilson, K.H. (2017). Modified African Ngoma healing ceremony for stress reduction: A pilot study. //Journal of Alternative and Complementary Medicine, 23//(10), 800-804. https://doi.org/10.1089/acm.2016.0410
Kolahkaj, B., & Zargar, F. (2015). Effect of mindfulness-based stress reduction on anxiety, depression and stress in women with multiple sclerosis. //Nursing and Midwifery Studies, 4//(4), e29655. https://dx.doi.org/10.17795/nmsjournal29655
de Vibe, M., Solhaug, I., Tyssen, R., Friborg, O., Rosenvinge, J.H., Sorlie, T., ... & Bjorndal, A. (2013). Mindfulness training for stress management: A randomised controlled study of medical and psychology students. //BMC Medical Education, 13//, 107. https://doi.org/10.1186/1472-6920-13-107
Kilpatrick, L.A., Suyenobu, B.Y., Smith, S.R., Bueller, J.A., Goodman, T., Creswell, J.D., ... & Naliboff, B.D. (2011). Impact of mindfulness-based stress reduction training on intrinsic brain connectivity. //Neuroimage, 56//(1), 290-298. https://doi.org/10.1016/j.neuroimage.2011.02.034
Simpson, R., Mair, F.S., & Mercer, S.W. (2017). Mindfulness-based stress reduction for people with multiple sclerosis - A feasibility randomised controlled trial. //BMC Neurology, 17//, 94. https://doi.org/10.1186/s12883-017-0880-8
Raab, K., Sogge, K., Parker, N., & Flament, M.F. (2015). Mindfulness-based stress reduction and self-compassion among mental healthcare professionals: A pilot study. //Mental Health Religion & Culture, 18//(6), 503-512. https://doi.org/10.1080/13674676.2015.1081588
Call, D., Miron, L., & Orcutt, H. (2014). Effectiveness of brief mindfulness techniques in reducing symptoms of anxiety and stress. //Mindfulness, 5//(6), 658-668. https://doi.org/10.1007/s12671-013-0218-6
Malpass, A., Carel, H., Ridd, M., Shaw, A., Kessler, D., Sharp, D., ... & Wallond, J. (2012). Transforming the perceptual situation: A meta-ethnography of qualitative work reporting patients' experiences of mindfulness-based approaches. //Mindfulness, 3//(1), 60-75. https://doi.org/10.1007/s12671-011-0081-2
Ong, J.C., Hedeker, D., Wyatt, J.K., & Manber, R. (2016). Examining the variability of sleep patterns during treatment for chronic insomnia: Application of a location-scale mixed model. //Journal of Clinical Sleep Medicine, 12//(6), 797-804. https://doi.org/10.5664/jcsm.5872
la Cour, P., & Petersen, M. (2015). Effects of mindfulness meditation on chronic pain: A randomized controlled trial. //Pain Medicine, 16//(4), 641-652. https://doi.org/10.1111/pme.12605
Earley, M.D., Chesney, M.A., Frye, J., Greene, P.A., Berman, B., & Kimbrough, E. (2014). Mindfulness intervention for child abuse survivors: A 2.5-year follow-up. //Journal of Clinical Psychology, 70//(10), 933-941. https://doi.org/10.1002/jclp.22102
Valley, M.A., & Stallones, L. (2017). Effect of mindfulness-based stress reduction training on health care worker safety a randomized waitlist controlled trial. //Journal of Occupational and Environmental Medicine, 59//(10), 935-941. https://doi.org/10.1097/JOM.0000000000001090
Hazlett-Stevens, H., & Oren, Y. (2017). Effectiveness of mindfulness-based stress reduction bibliotherapy: A preliminary randomized controlled trial. //Journal of Clinical Psychology, 73//(6), 626-637. https://doi.org/10.1002/jclp.22370
Garland, S.N., Carlson, L.E., Antle, M.C., Samuels, C., & Campbell, T. (2011). I-can sleep: Rationale and design of a non-inferiority RCT of mindfulness-based stress reduction and cognitive behavioral therapy for the treatment of insomnia in cancer survivors. //Contemporary Clinical Trials, 32//(5), 747-754. https://doi.org/10.1016/j.cct2011.05.014
Sephton, S.E., Salmon, P., Weissbecker, I., Ulmer, C., Floyd, A., Hoover, K., ... & Studts, J.L. (2007). Mindfulness meditation alleviates depressive symptoms in women with fibromyalgia: Results of a randomized clinical trial. //Arthritis & Rheumatism-arthritis Care & Research, 57//(1), 77-85. https://doi.org/10.1002/art.22478
Momeni, J., Omidi, A., Raygan, F., & Akbari, H. (2016). The effects of mindfulness-based stress reduction on cardiac patients' blood pressure, perceived stress, and anger: A single-blind randomized controlled trial. //Journal of the American Society of Hypertension, 10//(10), 763-771. https://doi.org/10.1016/j.jash.2016.07.007
Frisvold, M.H., Lindquist, R., & McAlpine, C.P. (2012). Living life in the balance at midlife: Lessons learned from mindfulness. //Western Journal of Nursing Research, 34//(2), 265-278. https://doi.org/10.1177/0193945911424171
Crane, R.S., Kuyken, W., Williams, J.M.G., Hastings, R.P., Cooper, L., & Fennell, M.J.V. (2012). Competence in teaching mindfulness-based courses: Concepts, development and assessment. //Mindfulness, 3//(1), 76-84. https://doi.org/10.1007/s12671-011-0073-2
George, M.C., Wongmek, A., Kaku, M., Nmashie, A., & Robinson-Papp, J. (2017). A mixed-methods pilot study of mindfulness-based stress reduction for HIV-associated chronic pain. //Behavioral Medicine, 43//(2), 108-119. https://doi.org/10.1080/08964289.2015.1107525
Carmody, J., Reed, G., Kristeller, J., & Merriam, P. (2008). Mindfulness, spirituality, and health-related symptoms. //Journal of Psychosomatic Research, 64//(4), 393-403. https://doi.org/10.1016/j.jpsychores.2007.06.015
Patel, S.R., Carmody, J., & Simpson, H.B. (2007). Adapting mindfulness-based stress reduction for the treatment of obsessive-compulsive disorder: A case report. //Cognitive and Behavioral Practice, 14//(4), 375-380. https://doi.org/10.1016/j.cbpra.2006.08.006
Paiva, S.P.C., Nery, S.F., Magalhaes, E.B., Couto, B.G.M., Amaral, C.A.V., Campos, F.M.F., ... & Reis, F.M. (2015). Impact of a short-term, mindfulness-based stress reduction program on the well-being of infertile women: A mixed-method study. //Journal of Endometriosis and Pelvic Pain Disorders, 7//(4), 136-140. https://doi.org/10.5301/je.5000227
Smith, S.A. (2014). Mindfulness-based stress reduction: An intervention to enhance the effectiveness of nurses' coping with work-related stress. //International Journal of Nursing Knowledge, 25//(2), 119-130. https://doi.org/10.1111/2047-3095.12025
Gethin, R. (2011). On some definitions of mindfulness. //Contemporary Buddhism, 12//(1), 263-279. https://doi.org/10.1080/14639947.2011.564843
Grossman, P., Deuring, G., Walach, H., Schwarzer, B., & Schmidt, S. (2017). Mindfulness-based intervention does not influence cardiac autonomic control or the pattern of physical activity in fibromyalgia during daily life: An ambulatory, multimeasure randomized controlled trial. //Clinical Journal of Pain, 33//(5), 385-394. https://doi.org/10.1097/AJP.0000000000000420
Stephenson, K.R., Simpson, T.L., Martinez, M.E., & Kearney, D.J. (2017). Changes in mindfulness and posttraumatic stress disorder symptoms among veterans enrolled in mindfulness-based stress reduction. //Journal of Clinical Psychology, 73//(3), 201-217. https://doi.org/10.1002/jclp.22323
Hick, S.F., & Furlotte, C. (2010). An exploratory study of radical mindfulness training with severely economically disadvantaged people: Findings of a canadian study. //Australian Social Work, 63//(3), 281-298. https://doi.org/10.1080/0312407X.2010.496865
Holzel, B.K., Brunsch, V., Gard, T., Greve, D.N., Koch, K., Sorg, C., ... & Milad, M.R. (2016). Mindfulness-based stress reduction, fear conditioning, and the uncinate fasciculus: A pilot study. //Frontiers in Behavioral Neuroscience, 10//, 124. https://doi.org/10.3389/fnbeh.2016.00124
Erogul, M., Singer, G., McIntyre, T., & Stefanov, D.G. (2014). Abridged mindfulness intervention to support wellness in first-year medical students. //Teaching and Learning in Medicine, 26//(4), 350-356. https://doi.org/10.1080/10401334.2014.945025
Weissbecker, I., Salmon, P., Studts, J.L., Floyd, A.R., Dedert, E.A., & Sephton, S.E. (2002). Mindfulness-based stress reduction and sense of coherence among women with fibromyalgia. //Journal of Clinical Psychology in medical settings, 9//(4), 297-307. https://doi.org/10.1023/A:1020786917988
Colgan, D.D., Christopher, M., Michael, P., & Wahbeh, H. (2016). The body scan and mindful breathing among veterans with PTSD: Type of intervention moderates the relationship between changes in mindfulness and post-treatment depression. //Mindfulness, 7//(2), 372-383. https://doi.org/10.1007/s12671-015-0453-0
Lengacher, C.A., Johnson-Mallard, V., Post-White, J., Moscoso, M.S., Jacobsen, P.B., Klein, T.W., ... & Kip, K.E. (2009). Randomized controlled trial of mindfulness-based stress reduction (MBSR) for survivors of breast cancer. //Psycho-Oncology, 18//(12), 1261-1272. https://doi.org/10.1002/pon.1529
Corsica, J., Hood, M.M., Katterman, S., Kleinman, B., & Ivan, I. (2014). Development of a novel mindfulness and cognitive behavioral intervention for stress-eating: A comparative pilot study. //Eating Behaviors, 15//(4), 694-699. https://doi.org/10.1016/j.eatbeh.2014.08.002
Hayney, M.S., Coe, C.L., Muller, D., Obasi, C.N., Backonja, U., Ewers, T., ... & Barrett, B. (2014). Age and psychological influences on immune responses to trivalent inactivated influenza vaccine in the meditation or exercise for preventing acute respiratory infection (MEPARI) trial. //Human Vaccines & Immunotherapeutics, 10//(1), 83-91. https://doi.org/10.4161/hv.26661
Brand, S., Holsboer-Trachsler, E., Naranjo, J.R., & Schmidt, S. (2012). Influence of mindfulness practice on cortisol and sleep in long-term and short-term meditators. //Neuropsychobiology, 65//(3), 109-118. https://doi.org/10.1159/000330362
Tarrasch, R., Berman, Z., & Friedmann, N. (2016). Mindful reading: Mindfulness meditation helps keep readers with dyslexia and ADHD on the lexical track. //Frontiers in Psychology, 7//, 578. https://doi.org/10.3389/fpsyg.2016.00578
Felleman, B.I., Stewart, D.G., Simpson, T.L., Heppner, P.S., & Kearney, D.J. (2016). Predictors of depression and PTSD treatment response among veterans participating in mindfulness-based stress reduction. //Mindfulness, 7//(4), 886-895. https://doi.org/10.1007/s12671-016-0527-7
Khaddouma, A., Gordon, K.C., & Strand, E.B. (2017). Mindful mates: A pilot study of the relational effects of mindfulness-based stress reduction on participants and their partners. //Family Process, 56//(3), 636-651. https://doi.org/10.1111/famp.12226
[img[tps84.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Wang, L.H., Paul, N., Stanton, S.J., Greeson, J.M., & Smoski, M.J. (2013). Loss of sustained activity in the ventromedial prefrontal cortex in response to repeated stress in individuals with early-life emotional abuse: Implications for depression vulnerability. //Frontiers in Psychology, 4//, 320. https://doi.org/10.3389/fpsyg.2013.00320
Doll, A., Holzel, B.K., Bratec, S.M., Boucard, C.C., Xie, X.Y., Wohlschlager, A.M., ... & Sorg, C. (2016). Mindful attention to breath regulates emotions via increased amygdala-prefrontal cortex connectivity. //Neuroimage, 134//, 305-313. https://doi.org/10.1016/j.neuroimage.2016.03.041
Moafian, F., Pagnini, F., & Khoshsima, H. (2017). Validation of the Persian version of the Langer Mindfulness Scale. //Frontiers in Psychology, 8//, 468. https://doi.org/10.3389/fpsyg.2017.00468
Grier, R.A., Warm, J.S., Dember, W.N., Matthews, G., Galinsky, T.L., Szalma, J.L., ... & Parasuraman, R. (2003). The vigilance decrement reflects limitations in effortful attention, not mindlessness. //Human Factors, 45//(3), 349-359. https://doi.org/10.1518/hfes.45.3.349.27253
Luders, E., Phillips, O.R., Clark, K., Kurth, F., Toga, A.W., & Narr, K.L. (2012). Bridging the hemispheres in meditation: Thicker callosal regions and enhanced fractional anisotropy (fa) in long-term practitioners. //Neuroimage, 61//(1), 181-187. https://doi.org/10.1016/j.neuroimage.2012.02.026
Ackermann, E.K. (2015). Amusement, delight, and whimsy humor has its reasons that reason cannot ignore. //Constructivist Foundations, 10//(3), 405-411.
Cho, S., Lee, H., Oh, K.J., & Soto, J.A. (2017). Mindful attention predicts greater recovery from negative emotions, but not reduced reactivity. //Cognition & Emotion, 31//(6), 1252-1259. https://doi.org/10.1080/02699931.2016.1199422
Dillard, M.B., Warm, J.S., Funke, G.J., Funke, M.E., Finomore, V.S., Matthews, G., ... & Parasuraman, R. (2014). The sustained attention to response task (SART) does not promote mindlessness during vigilance performance. //Human Factors, 56//(8), 1364-1379. https://doi.org/10.1177/0018720814537521
Desbordes, G., Negi, L.T., Pace, T.W.W., Wallace, B.A., Raison, C.L., & Schwartz, E.L. (2012). Effects of mindful-attention and compassion meditation training on amygdala response to emotional stimuli in an ordinary, non-meditative state. //Frontiers in Human Neuroscience, 6//, 292. https://doi.org/10.3389/fnhum.2012.00292
Treloar, C., Laybutt, B., & Carruthers, S. (2010). Using mindfulness to develop health education strategies for blood borne virus prevention in injecting drug use. //Drugs: education prevention and policy, 17//(4), 431-442. https://doi.org/10.3109/09687630802585377
Treloar, C. (2005). 'You sort of switch off": Exploring mindlessness in injecting drugs users' accounts of blood. //Journal of Health Psychology, 10//(1), 137-145. https://doi.org/10.1177/1359105305048560
Haigh, E.A.P., Moore, M.T., Kashdan, T.B., & Fresco, D.M. (2011). Examination of the factor structure and concurrent validity of the Langer Mindfulness/Mindlessness Scale. //Assessment, 18//(1), 11-26. https://doi.org/10.1177/1073191110386342
Benassi, V.A., Mahler, H.I.M., & Asdigian, N.L. (1993). The mindfulness of ostensibly thoughtless action. //Journal of Social Behavior and Personality, 8//(6), 67-82.
Taren, A.A., Creswell, J.D., & Gianaros, P.J. (2013). Dispositional mindfulness co-varies with smaller amygdala and caudate volumes in community adults. //PLOS ONE, 8//(5), e64574. https://doi.org/10.1371/journal.pone.0064574
Holzel, B.K., Carmody, J., Evans, K.C., Hoge, E.A., Dusek, J.A., Morgan, L., ... & Lazar, S.W. (2010). Stress reduction correlates with structural changes in the amygdala. //Social Cognitive and Affective Neuroscience, 5//(1), 11-17. https://doi.org/10.1093/scan/nsp034
Taylor, V.A., Grant, J., Daneault, V., Scavone, G., Breton, E., Roffe-Vidal, S., ... & Beauregard, M. (2011). Impact of mindfulness on the neural responses to emotional pictures in experienced and beginner meditators. //Neuroimage, 57//(4), 1524-1533. https://doi.org/10.1016/j.neuroimage.2010.06.001
Cosme, D., & Wiens, S. (2015). Self-reported trait mindfulness and affective reactivity: A motivational approach using multiple psychophysiological measures. //PLOS ONE, 10//(3), e0119466. https://doi.org/10.1371/journal.pone.0119466
King, P.E., & Sawyer, C.R. (1998). Mindfulness, mindlessness and communication instruction. //Communication Education, 47//(4), 326-336. https://doi.org/10.1080/03634529809379139
Lutz, J., Herwig, U., Opialla, S., Hittmeyer, A., Jancke, L., Rufer, M., ... & Bruhl, A.B. (2014). Mindfulness and emotion regulation—An fMRI study. //Social Cognitive and Affective Neuroscience, 9//(6), 776-785. https://doi.org/10.1093/scan/nst043
Haller, C.S. (2015). Mindful Creativity Scale (MCS): Validation of a German version of the Langer Mindfulness Scale with patients with severe TBI and controls. //Brain Injury, 29//(4), 517-526. https://doi.org/10.3109/02699052.2014.989906
Dean, A.C., Kohno, M., Hellemann, G., & London, E.D. (2014). Childhood maltreatment and amygdala connectivity in methamphetamine dependence: A pilot study. //Brain and Behavior, 4//(6), 867-876. https://doi.org/10.1002/brb3.289
Ortner, C.N.M., Kilner, S.J., & Zelazo, P.D. (2007). Mindfulness meditation and reduced emotional interference on a cognitive task. //Motivation and Emotion, 31//(4), 271-283. https://doi.org/10.1007/s11031-007-9076-7
Fatemi, S.M. (2014). From Kierkegaard to Langer (From Kierkegaard’s paradox to Langer’s psychology of possibility). //Frontiers in Psychology, 5//, 1161. https://doi.org/10.3389/fpsyg.2014.01161
Melton, L.M. (2016). If i don't laugh, i'll cry: Exploring humor coping in breast cancer. //Journal of Psychosocial Oncology, 34//(6), 530-541. https://doi.org/10.1080/07347332.2016.1233926
Stewart, T.L., Berkvens, M., Engels, W.A.E.W., & Pass, J.A. (2003). Status and likability: Can the "mindful" woman have it all?. //Journal of Applied Social Psychology, 33//(10), 2040-2059. https://doi.org/10.1111/j.1559-1816.2003.tb01874.x
Wilson, J.D., Vo, H., Matson, P., Adger, H., Barnett, G., & Fishman, M. (2017). Trait mindfulness and progression to injection use in youth with opioid addiction. //Substance Use & Misuse, 52//(11), 1486-1493. https://doi.org/10.1080/10826084.2017.1289225
Kirk, U., Gu, X., Harvey, A.H., Fonagyd, P., & Montague, P.R. (2014). Mindfulness training modulates value signals in ventromedial prefrontal cortex through input from insular cortex. //Neuroimage, 100//, 254-262. https://doi.org/10.1016/j.neuroimage.2014.06.035
Way, B.M., Creswell, J.D., Eisenberger, N.I., & Lieberman, M.D. (2010). Dispositional mindfulness and depressive symptomatology: Correlations with limbic and self-referential neural activity during rest. //Emotion, 10//(1), 12-24. https://doi.org/10.1037/a0018312
Djikic, M., & Langer, E.J. (2007). Toward mindful social comparison: When subjective and objective selves are mutually exclusive. //New Ideas in Psychology, 25//(3), 221-232. https://doi.org/10.1016/j.newideapsych.2007.03.001
Ozyesil, Z., Deniz, M.E., & Kesici, S. (2013). Mindfulness and five factor personality traits as predictors of humor. //Studia Psychologica, 55//(1), 33-45.
Langer, E., Pirson, M., & Delizonna, L. (2010). The mindlessness of social comparisons. //Psychology of Aesthetics Creativity and the Arts, 4//(2), 68-74. https://doi.org/10.1037/a0017318
Taren, A.A., Gianaros, P.J., Greco, C.M., Lindsay, E.K., Fairgrieve, A., Brown, K.W., ... & Creswell, J.D. (2015). Mindfulness meditation training alters stress-related amygdala resting state functional connectivity: A randomized controlled trial. //Social Cognitive and Affective Neuroscience, 10//(12), 1758-1768. https://doi.org/10.1093/scan/nsv066
Holzel, B.K., Hoge, E.A., Greve, D.N., Gard, T., Creswell, J.D., Brown, K.W., ... & Lazar, S.W. (2013). Neural mechanisms of symptom improvements in generalized anxiety disorder following mindfulness training. //Neuroimage: Clinical, 2//, 448-458. https://doi.org/10.1016/j.nicl.2013.03.011
Lutz, J., Bruhl, A.B., Scheerer, H., Jancke, L., & Herwig, U. (2016). Neural correlates of mindful self-awareness in mindfulness meditators and meditation-naive subjects revisited. //Biological Psychology, 119//, 21-30. https://doi.org/10.1016/j.biopsycho.2016.06.010
Zabriskie, B. (2014). Psychic energy and synchronicity. //Journal of Analytical Psychology, 59//(2), 157-164. https://doi.org/10.1111/1468-5922.12065
Aydin, A. (2015). Identifying the relationship of teacher candidates' humor styles with anxiety and self-compassion levels. //Eurasian Journal of Educational Research//(59), 1-16. https://eric.ed.gov/?id=EJ1070661
[img[tps85.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Sinnott, J., Tobin, E., Chrzanowska, E., & Hilton, S. (2017). The relationship between attachment style and postformal thought. //Journal of Adult Development, 24//(4), 239-251. https://doi.org/10.1007/s10804-017-9262-0
de Bruin, E.I., Zijlstra, B.J.H., & Bogels, S.M. (2014). The meaning of mindfulness in children and adolescents: Further validation of the child and adolescent mindfulness measure (CAMM) in two independent samples from the Netherlands. //Mindfulness, 5//(4), 422-430. https://doi.org/10.1007/s12671-013-0196-8
Casier, A., Goubert, L., Huse, D., Theunis, M., Franckx, H., Robberecht, E., ... & Crombez, G. (2008). The role of acceptance in psychological functioning in adolescents with cystic fibrosis: A preliminary study. //Psychology & Health, 23//(5), 629-638. https://doi.org/10.1080/08870440802040269
Kuby, A.K., McLean, N., & Allen, K. (2015). Validation of the child and adolescent mindfulness measure (CAMM) with non-clinical adolescents. //Mindfulness, 6//(6), 1448-1455. https://doi.org/10.1007/s12671-015-0418-3
Pepping, C.A., Davis, P.J., & O'Donovan, A. (2015). The association between state attachment security and state mindfulness. //PLOS ONE, 10//(3), e0116779. https://doi.org/10.1371/journal.pone.0116779
Brown, K.W., West, A.M., Loverich, T.M., & Biegel, G.M. (2011). Assessing adolescent mindfulness: Validation of an adapted Mindful Attention Awareness Scale in adolescent normative and psychiatric populations. //Psychological Assessment, 23//(4), 1023-1033. https://doi.org/10.1037/a0021338
Warren, M.T., & Wray-Lake, L. (2017). Does mindfulness prepare adolescents for value-behavior concordance? Examining the role of value content. //Journal of Adolescence, 58//, 56-66. https://doi.org/10.1016/j.adolescence.2017.04.011
Blom, E.H., Duncan, L.G., Ho, T.C., Connolly, C.G., LeWinn, K.Z., Chesney, M., ... & Yang, T.T. (2014). The development of an RDoC-based treatment program for adolescent depression: “Training for Awareness, Resilience, and Action” (TARA). //Frontiers in Human Neuroscience, 8//, 630. https://doi.org/10.3389/fnhum.2014.00630
Saggino, A., Bartoccini, A., Sergi, M.R., Romanelli, R., Macchia, A., & Tommasi, M. (2017). Assessing mindfulness on samples of Italian children and adolescents: The validation of the Italian version of the child and adolescent mindfulness measure. //Mindfulness, 8//(5), 1364-1372. https://doi.org/10.1007/s12671-017-0712-3
Blom, E.H., Tymofiyeva, O., Chesney, M.A., Ho, T.C., Moran, P., Connolly, C.G., ... & Yang, T.T. (2017). Feasibility and preliminary efficacy of a novel RDoC-based treatment program for adolescent depression: "training for awareness resilience and action" (TARA)-a pilot study. //Frontiers in Psychiatry, 7//, 208. https://doi.org/10.3389/fpsyt.2016.00208
Pickard, J.A., Townsend, M., Caputi, P., & Grenyer, B.F.S. (2017). Observing the influence of mindfulness and attachment styles through mother and infant interaction: A longitudinal study. //Infant Mental Health Journal, 38//(3), 343-350. https://doi.org/10.1002/imhj.21645
Pickard, J.A., Caputi, P., & Grenyer, B.F.S. (2016). Mindfulness and emotional regulation as sequential mediators in the relationship between attachment security and depression. //Personality and Individual Differences, 99//, 179-183. https://doi.org/10.1016/j.paid.2016.04.091
Tan, L., & Martin, G. (2015). Taming the adolescent mind: A randomised controlled trial examining clinical efficacy of an adolescent mindfulness-based group programme. //Child and Adolescent Mental Health, 20//(1), 49-55. https://doi.org/10.1111/camh.12057
Pepping, C.A., O'Donovan, A., & Davis, P.J. (2014). The differential relationship between mindfulness and attachment in experienced and inexperienced meditators. //Mindfulness, 5//(4), 392-399. https://doi.org/10.1007/s12671-012-0193-3
Mikulincer, M., Shaver, P.R., Sahdra, B.K., & Bar-On, N. (2013). Can security-enhancing interventions overcome psychological barriers to responsiveness in couple relationships?. //Attachment & Human Development, 15//(3), 246-260. https://doi.org/10.1080/14616734.2013.782653
Greco, L.A., Baer, R.A., & Smith, G.T. (2011). Assessing mindfulness in children and adolescents: Development and validation of the child and adolescent mindfulness measure (CAMM). //Psychological Assessment, 23//(3), 606-614. https://doi.org/10.1037/a0022819
McDonald, H.M., Sherman, K.A., Petocz, P., Kangas, M., Grant, K.A., & Kasparian, N.A. (2016). Mindfulness and the experience of psychological distress: The mediating effects of emotion regulation and attachment anxiety. //Mindfulness, 7//(4), 799-808. https://doi.org/10.1007/s12671-016-0517-9
Macaulay, C.B., Watt, M.C., MacLean, K., & Weaver, A. (2015). Mindfulness mediates associations between attachment and anxiety sensitivity. //Mindfulness, 6//(6), 1263-1270. https://doi.org/10.1007/s12671-015-0390-y
Chiesi, F., Dellagiulia, A., Lionetti, F., Bianchi, G., & Primi, C. (2017). Using item response theory to explore the psychometric properties of the Italian version of the child and adolescent mindfulness measure (CAMM). //Mindfulness, 8//(2), 351-360. https://doi.org/10.1007/s12671-016-0604-y
Saavedra, M.C., Chapman, K.E., & Rogge, R.D. (2010). Clarifying links between attachment and relationship quality: Hostile conflict and mindfulness as moderators. //Journal of Family Psychology, 24//(4), 380-390. https://doi.org/10.1037/a0019872
Granqvist, P., Mikulincer, M., & Shaver, P.R. (2010). Religion as attachment: Normative processes and individual differences. //Personality and Social Psychology Review, 14//(1), 49-59. https://doi.org/10.1177/1088868309348618
Tak, Y.R., Van Zundert, R.M.P., Kleinjan, M., & Engels, R.C.M.E. (2015). Mindful parenting and adolescent depressive symptoms: The few associations are moderated by adolescent gender and parental depressive symptoms. //Mindfulness, 6//(4), 812-823. https://doi.org/10.1007/s12671-014-0324-0
Linares, L., Jauregui, P., Herrero-Fernandez, D., & Estevez, A. (2016). Mediationg role of mindfulness as a trait between attachment styles and depressive symptoms. //Journal of Psychology, 150//(7), 881-896. https://doi.org/10.1080/00223980.2016.1207591
Melen, S., Pepping, C.A., & O'Donovan, A. (2017). Social foundations of mindfulness: Priming attachment anxiety reduces emotion regulation and mindful attention. //Mindfulness, 8//(1), 136-143. https://doi.org/10.1007/s12671-016-0587-8
Hertz, R.M., Laurent, H.K., & Laurent, S.M. (2015). Attachment mediates effects of trait mindfulness on stress responses to conflict. //Mindfulness, 6//(3), 483-489. https://doi.org/10.1007/s12671-014-0281-7
Dunkley, C.R., Goldsmith, K.M., & Gorzalka, B.B. (2015). The potential role of mindfulness in protecting against sexual insecurities. //Canadian Journal of Human Sexuality, 24//(2), 92-103. https://doi.org/10.3138/cjhs.242-A7
Williams, J.F., Burton, R.S., & Warzinski, S.S. (2014). The role of the parent in adolescent substance use. //Pediatric Annals, 43//(10), E237-E241. https://doi.org/10.3928/00904481-20140924-07
Vinas, F., Malo, S., Gonzalez, M., Navarro, D., & Casas, F. (2015). Assessing mindfulness on a sample of Catalan-speaking Spanish adolescents: validation of the Catalan version of the child and adolescent mindfulness measure. //Spanish Journal of Psychology, 18//, e46. https://doi.org/10.1017/sjp.2015.48
Mon, M.M., Liabsuetrakul, T., McNeil, E.B., & Htut, K.M. (2017). Mindfulness-integrated reproductive health package for adolescents with parental HIV infection: A group-randomized controlled trial. //Vulnerable Children and Youth Studies, 12//(2), 147-159. https://doi.org/10.1080/17450128.2017.1282072
Pepping, C.A., O'Donovan, A., Zimmer-Gembeck, M.J., & Hanisch, M. (2015). Individual differences in attachment and eating pathology: The mediating role of mindfulness. //Personality and Individual Differences, 75//, 24-29. https://doi.org/10.1016/j.paid.2014.10.040
Cunha, M., & Paiva, M.J. (2012). Text anxiety in adolescents: The role of self-criticism and acceptance and mindfulness skills. //Spanish Journal of Psychology, 15//(2), 533-543. https://doi.org/10.5209/rev_SJOP.2012.v15.n2.38864
Sommerfeldt, S.L., Cullen, K.R., Han, G., Fryza, B.J., Houri, A.K., & Klimes-Dougan, B. (2016). Executive attention impairment in adolescents with major depressive disorder. //Journal of Clinical Child and Adolescent Psychology, 45//(1), 69-83. https://doi.org/10.1080/15374416.2015.1072823
Goodall, K., Trejnowska, A., & Darling, S. (2012). The relationship between dispositional mindfulness, attachment security and emotion regulation. //Personality and Individual Differences, 52//(5), 622-626. https://doi.org/10.1016/j.paid.2011.12.008
Davis, T.J., Morris, M., & Drake, M.M. (2016). The moderation effect of mindfulness on the relationship between adult attachment and wellbeing. //Personality and Individual Differences, 96//, 115-121. https://doi.org/10.1016/j.paid.2016.02.080
Lazarevic, J., Batinic, B., & Vukosavljevic-Gvozden, T. (2016). Risk factors and the prevalence of anorexia nervosa among female students in Serbia. //Vojnosanitetski Pregled, 73//(1), 34-41. https://doi.org/10.2298/VSP130709121L
Livheim, F., Hayes, L., Ghaderi, A., Magnusdottir, T., Hogfeldt, A., Rowse, J., ... & Tengstrom, A. (2015). The effectiveness of acceptance and commitment therapy for adolescent mental health: Swedish and Australian pilot outcomes. //Journal of Child and Family Studies, 24//(4), 1016-1030. https://doi.org/10.1007/s10826-014-9912-9
Leigh, J., & Anderson, V.N. (2013). Secure attachment and autonomy orientation may foster mindfulness. //Contemporary Buddhism, 14//(2), 265-283. https://doi.org/10.1080/14639947.2013.832082
Pepping, C.A., Davis, P.J., & O'Donovan, A. (2013). Individual differences in attachment and dispositional mindfulness: The mediating role of emotion regulation. //Personality and Individual Differences, 54//(3), 453-456. https://doi.org/10.1016/j.paid.2012.10.006
Castilho, P., Martins, M.J., Pinto, A.M., Viegas, R., Carvalho, S., & Madeira, N. (2017). Understanding the effect of attachment styles in paranoid ideation: The mediator role of experiential avoidance. //Journal of Contextual Behavioral Science, 6//(1), 42-46. https://doi.org/10.1016/j.jcbs.2016.11.007
Pepping, C.A., & Duvenage, M. (2016). The origins of individual differences in dispositional mindfulness. //Personality and Individual Differences, 93//, 130-136. https://doi.org/10.1016/j.paid.2015.05.027
van de Weijer-Bergsma, E., Formsma, A.R., de Bruin, E.I., & Bogels, S.M. (2012). The effectiveness of mindfulness training on behavioral problems and attentional functioning in adolescents with ADHD. //Journal of Child and Family Studies, 21//(5), 775-787. https://doi.org/10.1007/s10826-011-9531-7
Moreira, H., Carona, C., Silva, N., Nunes, J., & Canavarro, M.C. (2016). Exploring the link between maternal attachment-related anxiety and avoidance and mindful parenting: The mediating role of self-compassion. //Psychology and Psychotherapy: Theory, Research and Practice, 89//(4), 369-384. https://doi.org/10.1111/papt.12082
Shomaker, L.B., Bruggink, S., Pivarunas, B., Skoranski, A., Foss, J., Chaffin, E., ... & Bell, C. (2017). Pilot randomized controlled trial of a mindfulness-based group intervention in adolescent girls at risk for type 2 diabetes with depressive symptoms. //Complementary Therapies in Medicine, 32//, 66-74. https://doi.org/10.1016/j.ctim.2017.04.003
Cordon, S.L., & Finney, S.J. (2008). Measurement invariance of the Mindful Attention Awareness Scale across adult attachment style. //Measurement and Evaluation in Counseling and Development, 40//(4), 228-245. https://doi.org/10.1080/07481756.2008.11909817
Tan, L., & Martin, G. (2013). Taming the adolescent mind: Preliminary report of a mindfulness-based psychological intervention for adolescents with clinical heterogeneous mental health diagnoses. //Clinical Child Psychology and Psychiatry, 18//(2), 300-312. https://doi.org/10.1177/1359104512455182
Rowe, A.C., Shepstone, L., Carnelley, K.B., Cavanagh, K., & Millings, A. (2016). Attachment security and self-compassion priming increase the likelihood that first-time engagers in mindfulness meditation will continue with mindfulness training. //Mindfulness, 7//(3), 642-650. https://doi.org/10.1007/s12671-016-0499-7
Khalifian, C.E., & Barry, R.A. (2016). Trust, attachment, and mindfulness influence intimacy and disengagement during newlyweds' discussions of relationship transgressions. //Journal of Family Psychology, 30//(5), 592-601. https://doi.org/10.1037/fam0000194
Haydicky, J., Shecter, C., Wiener, J., & Ducharme, J.M. (2015). Evaluation of MBCT for adolescents with ADHD and their parents: Impact on individual and family functioning. //Journal of Child and Family Studies, 24//(1), 76-94. https://doi.org/10.1007/s10826-013-9815-1
Kimmes, J.G., Durtschi, J.A., & Fincham, F.D. (2017). Perception in romantic relationships: A latent profile analysis of trait mindfulness in relation to attachment and attributions. //Mindfulness, 8//(5), 1328-1338. https://doi.org/10.1007/s12671-017-0708-z
Singh, N.N., Lancioni, G.E., Joy, S.D.S., Winton, A.S.W., Sabaawi, M., Wahler, R.G., ... & Singh, J. (2007). Adolescents with conduct disorder can be mindful of their aggressive behavior. //Journal of Emotional and Behavioral Disorders, 15//(1), 56-63. https://doi.org/10.1177/10634266070150010601
Deplus, S., Billieux, J., Scharff, C., & Philippot, P. (2016). A mindfulness-based group intervention for enhancing self-regulation of emotion in late childhood and adolescence: A pilot study. //International Journal of Mental Health and Addiction, 14//(5), 775-790. https://doi.org/10.1007/s11469-015-9627-1
Bluth, K., & Blanton, P.W. (2015). The influence of self-compassion on emotional well-being among early and older adolescent males and females. //Journal of Positive Psychology, 10//(3), 219-230. https://doi.org/10.1080/17439760.2014.936967
Shirk, S.R., DePrince, A.P., Crisostomo, P.S., & Labus, J. (2014). Cognitive behavioral therapy for depressed adolescents exposed to interpersonal trauma: An initial effectiveness trial. //Psychotherapy, 51//(1), 167-179. https://doi.org/10.1037/a0034845
Ames, C.S., Richardson, J., Payne, S., Smith, P., & Leigh, E. (2014). Innovations in practice: Mindfulness-based cognitive therapy for depression in adolescents. //Child and Adolescent Mental Health, 19//(1), 74-78. https://doi.org/10.1111/camh.12034
Sahdra, B.K., Shaver, P.R., & Brown, K.W. (2010). A scale to measure nonattachment: A Buddhist complement to western research on attachment and adaptive functioning. //Journal of Personality assessment, 92//(2), 116-127. https://doi.org/10.1080/00223890903425960
DePrince, A.P., & Shirk, S.R. (2013). Adapting cognitive-behavioral therapy for depressed adolescents exposed to interpersonal trauma: A case study with two teens. //Cognitive and Behavioral Practice, 20//(2), 189-201. https://doi.org/10.1016/j.cbpra.2012.07.001
Kroska, E.B., Miller, M.L., Roche, A.I., Kroska, S.K., & O'Hara, M.W. (2018). Effects of traumatic experiences on obsessive-compulsive and internalizing symptoms: The role of avoidance and mindfulness. //Journal of Affective Disorders, 225//, 326-336. https://doi.org/10.1016/j.jad.2017.08.039
Stein, L.A.R., Lebeau, R., Colby, S.M., Barnett, N.P., Golembeske, C., & Monti, P.M. (2011). Motivational interviewing for incarcerated adolescents: Effects of depressive symptoms on reducing alcohol and marijuana use after release. //Journal of Studies on Alcohol and Drugs, 72//(3), 497-506. https://doi.org/10.15288/jsad.2011.72.497
Ciesla, J.A., Reilly, L.C., Dickson, K.S., Emanuel, A.S., & Updegraff, J.A. (2012). Dispositional mindfulness moderates the effects of stress among adolescents: Rumination as a mediator. //Journal of Clinical Child and Adolescent Psychology, 41//(6), 760-770. https://doi.org/10.1080/15374416.2012.698724
Friedel, S., Whittle, S.L., Vijayakumar, N., Simmons, J.G., Byrne, M.L., Schwartz, O.S., ... & Allen, N.B. (2015). Dispositional mindfulness is predicted by structural development of the insula during late adolescence. //Developmental Cognitive Neuroscience, 14//, 62-70. https://doi.org/10.1016/j.dcn.2015.07.001
Bluth, K., Roberson, P.N.E., & Gaylord, S.A. (2015). A pilot study of a mindfulness intervention for adolescents and the potential role of self-compassion in reducing stress. //Explore: The Journal of Science and Healing, 11//(4), 292-295. https://doi.org/10.1016/j.explore.2015.04.005
Galla, B.M., & Wood, J.J. (2015). Trait self-control predicts adolescents' exposure and reactivity to daily stressful events. //Journal of Personality, 83//(1), 69-83. https://doi.org/10.1111/jopy.12083
Welch, S.S., & Kim, J. (2012). DBT-enhanced cognitive behavioral therapy for adolescent trichotillomania: An adolescent case study. //Cognitive and Behavioral Practice, 19//(3), 483-493. https://doi.org/10.1016/j.cbpra.2011.11.002
Ludwig, D.S. (2012). Weight loss strategies for adolescents a 14-year-old struggling to lose weight. //JAMA: Journal of the American Medical Association, 307//(5), 498-508. https://doi.org/10.1001/jama.2011.2011
Snyder, R., Shapiro, S., & Treleaven, D. (2012). Attachment theory and mindfulness. //Journal of Child and Family Studies, 21//(5), 709-717. https://doi.org/10.1007/s10826-011-9522-8
Hayes, L., Bach, P.A., & Boyd, C.P. (2010). Psychological treatment for adolescent depression: Perspectives on the past, present, and future. //Behaviour Change, 27//(1), 1-18. https://doi.org/10.1375/bech.27.1.1
Sahdra, B.K., & Shaver, P.R. (2013). Comparing attachment theory and Buddhist psychology. //International Journal for the Psychology of Religion, 23//(4), 282-293. https://doi.org/10.1080/10508619.2013.795821
Fossati, A., Feeney, J., Maffei, C., & Borroni, S. (2011). Does mindfulness mediate the association between attachment dimensions and borderline personality disorder features? A study of Italian non-clinical adolescents. //Attachment & Human Development, 13//(6), 563-578. https://doi.org/10.1080/14616734.2011.608993
Soleimanpour, S., Geierstanger, S., & Brindis, C.D. (2017). Adverse childhood experiences and resilience: Addressing the unique needs of adolescents. //Academic Pediatrics, 17//(7), S108-S114. https://doi.org/10.1016/j.acap.2017.01.008
Bluth, K., Campo, R.A., Futch, W.S., & Gaylord, S.A. (2017). Age and gender differences in the associations of self-compassion and emotional well-being in a large adolescent sample. //Journal of Youth and Adolescence, 46//(4), 840-853. https://doi.org/10.1007/s10964-016-0567-2
Wehry, A.M., Beesdo-Baum, K., Hennelly, M.M., Connolly, S.D., & Strawn, J.R. (2015). Assessment and treatment of anxiety disorders in children and adolescents. //Current Psychiatry Reports, 17//(7), 52. https://doi.org/10.1007/s11920-015-0591-z
Turpyn, C.C., & Chaplin, T.M. (2016). Mindful parenting and parents' emotion expression: Effects on adolescent risk behaviors. //Mindfulness, 7//(1), 246-254. https://doi.org/10.1007/s12671-015-0440-5
Pandya, S.P. (2017). Teachers' views on spirituality for adolescents in high schools across countries. //Pastoral Care in Education, 35//(2), 88-110. https://doi.org/10.1080/02643944.2017.1290132
Freedenberg, V.A., Thomas, S.A., & Friedmann, E. (2015). A pilot study of a mindfulness based stress reduction program in adolescents with implantable cardioverter defibrillators or pacemakers. //Pediatric Cardiology, 36//(4), 786-795. https://doi.org/10.1007/s00246-014-1081-5
Lippold, M.A., Duncan, L.G., Coatsworth, J.D., Nix, R.L., & Greenberg, M.T. (2015). Understanding how mindful parenting may be linked to mother-adolescent communication. //Journal of Youth and Adolescence, 44//(9), 1663–1673. https://doi.org/10.1007/s10964-015-0325-x
Bolt, K.L. (2016). Descending from the summit: Aftercare planning for adolescents in wilderness therapy. //Contemporary Family Therapy, 38//(1), 62-74. https://doi.org/10.1007/s10591-016-9375-9
Hesse, T., Holmes, L.G., Kennedy-Overfelt, V., Kerr, L.M., & Giles, L.L. (2015). Mindfulness-based intervention for adolescents with recurrent headaches: A pilot feasibility study. //Evidence-based Complementary and Alternative Medicine, 2015//, 508958. https://doi.org/10.1155/2015/508958
Bluth, K., & Blanton, P.W. (2014). Mindfulness and self-compassion: Exploring pathways to adolescent emotional well-being. //Journal of Child and Family Studies, 23//(7), 1298-1309. https://doi.org/10.1007/s10826-013-9830-2
Birnbaum, L. (2005). Adolescent aggression and differentiation of self: Guided mindfulness meditation in the service of individuation. //Thescientificworldjournal, 5//, 478-489. https://doi.org/10.1100/tsw.2005.59
Crowley, J.P., Harvey-Knowles, J.A., & Riggs, N.R. (2016). Message processes and their associations with adolescents' executive function and reports of bullying. //School Psychology International, 37//(1), 32-50. https://doi.org/10.1177/0143034315605574
Cobb, E., Kor, A., & Miller, L. (2015). Support for adolescent spirituality: Contributions of religious practice and trait mindfulness. //Journal of Religion & Health, 54//(3), 862-870. https://doi.org/10.1007/s10943-015-0046-1
Haydicky, J., Wiener, J., & Shecter, C. (2017). Mechanisms of action in concurrent parent-child mindfulness training: A qualitative exploration. //Mindfulness, 8//(4), 1018-1035. https://doi.org/10.1007/s12671-017-0678-1
Sharma, T., Sinha, V.K., & Sayeed, N. (2016). Role of mindfulness in dissociative disorders among adolescents. //Indian Journal of Psychiatry, 58//(3), 326-328. https://doi.org/10.4103/0019-5545.192013
Caldwell, J.G., & Shaver, P.R. (2015). Promoting attachment-related mindfulness and compassion: A wait-list-controlled study of women who were mistreated during childhood. //Mindfulness, 6//(3), 624-636. https://doi.org/10.1007/s12671-014-0298-y
Singh, N.N., Lancioni, G.E., Manikam, R., Winton, A.S.W., Singh, A.N.A., Singh, J., ... & Singh, A.D.A. (2011). A mindfulness-based strategy for self-management of aggressive behavior in adolescents with autism. //Research in Autism Spectrum Disorders, 5//(3), 1153-1158. https://doi.org/10.1016/j.rasd.2010.12.012
Himelstein, S., Saul, S., Garcia-Romeu, A., & Pinedo, D. (2014). Mindfulness training as an intervention for substance user incarcerated adolescents: A pilot grounded theory study. //Substance Use & Misuse, 49//(5), 560-570. https://doi.org/10.3109/10826084.2013.852580
Galla, B.M. (2016). Within-person changes in mindfulness and self-compassion predict enhanced emotional well-being in healthy, but stressed adolescents. //Journal of Adolescence, 49//, 204-217. https://doi.org/10.1016/j.adolescence.2016.03.016
Medeiros, C., Gouveia, M.J., Canavarro, M.C., & Moreira, H. (2016). The indirect effect of the mindful parenting of mothers and fathers on the child's perceived well-being through the child's attachment to parents. //Mindfulness, 7//(4), 916-927. https://doi.org/10.1007/s12671-016-0530-z
Royuela-Colomer, E., & Calvete, E. (2016). Mindfulness facets and depression in adolescents: Rumination as a mediator. //Mindfulness, 7//(5), 1092-1102. https://doi.org/10.1007/s12671-016-0547-3
Chen, J., Yu, J., Liu, Y.J., Zhang, L.L., & Zhang, J.X. (2015). BDNF val66met, stress, and positive mothering: Differential susceptibility model of adolescent trait anxiety. //Journal of Anxiety Disorders, 34//, 68-75. https://doi.org/10.1016/j.janxdis.2015.06.001
Butzer, B., LoRusso, A., Shin, S.H., & Khalsa, S.B.S. (2017). Evaluation of yoga for preventing adolescent substance use risk factors in a middle school setting: A preliminary group-randomized controlled trial. //Journal of Youth and Adolescence, 46//(3), 603-632. https://doi.org/10.1007/s10964-016-0513-3
Miller, A.L., Wyman, S.E., Huppert, J.D., Glassman, S.L., & Rathus, J.H. (2000). Analysis of behavioral skills utilized by suicidal adolescents receiving dialectical behavior therapy. //Cognitive and Behavioral Practice, 7//(2), 183-187. https://doi.org/10.1016/S1077-7229(00)80029-2
Sole, E., Racine, M., Castarlenas, E., de la Vega, R., Tome-Pires, C., Jensen, M., ... & Miro, J. (2016). The psychometric properties of the cognitive fusion questionnaire in adolescents. //European Journal of Psychological Assessment, 32//(3), 181-186. https://doi.org/10.1027/1015-5759/a000244
Geurtzen, N., Scholte, R.H.J., Engels, R.C.M.E., Tak, Y.R., & van Zundert, R.M.P. (2015). Association between mindful parenting and adolescents' internalizing problems: Non-judgmental acceptance of parenting as core element. //Journal of Child and Family Studies, 24//(4), 1117-1128. https://doi.org/10.1007/s10826-014-9920-9
Lau, N.S., & Hue, M.T. (2011). Preliminary outcomes of a mindfulness-based programme for Hong Kong adolescents in schools: Well-being, stress and depressive symptoms. //International Journal of Childrens Spirituality, 16//(4), 315-330. https://doi.org/10.1080/1364436X.2011.639747
Singh, N.N., Lancioni, G.E., Singh, A.N., Winton, A.S.W., Singh, J., McAleavey, K.M., ... & Adkins, A.D. (2008). A mindfulness-based health wellness program for an adolescent with prader-willi syndrome. //Behavior Modification, 32//(2), 167-181. https://doi.org/10.1177/01454407308582
Lind, A.B., Delmar, C., & Nielsen, K. (2014). Searching for existential security: A prospective qualitative study on the influence of mindfulness therapy on experienced stress and coping strategies among patients with somatoform disorders. //Journal of Psychosomatic Research, 77//(6), 516-521. https://doi.org/10.1016/j.jpsychores.2014.07.015
Carsley, D., Heath, N.L., Gomez-Garibello, C., & Mills, D.J. (2017). The importance of mindfulness in explaining the relationship between adolescents' anxiety and dropout intentions. //School Mental Health, 9//(1), 78-86. https://doi.org/10.1007/s12310-016-9196-x
Bluth, K., Roberson, P.N.E., & Girdler, S.S. (2017). Adolescent sex differences in response to a mindfulness intervention: A call for research. //Journal of Child and Family Studies, 26//(7), 1900-1914. https://doi.org/10.1007/s10826-017-0696-6
Lundh, L.G., Karim, J., & Quilisch, E. (2007). Deliberate self-harm in 15-year-old adolescents: A pilot study with a modified version of the deliberate self-harm inventory. //Scandinavian Journal of Psychology, 48//(1), 33-41. https://doi.org/10.1111/j.1467-9450.2006.00567.x
Quach, D., Mano, K.E.J., & Alexander, K. (2016). A randomized controlled trial examining the effect of mindfulness meditation on working memory capacity in adolescents. //Journal of Adolescent Health, 58//(5), 489-496. https://doi.org/10.1016/j.jadohealth.2015.09.024
Mazzeo, S.E., Kelly, N.R., Stern, M., Palmberg, A.A., Belgrave, F.Z., Tanofsky-Kraff, M., ... & Bulik, C.M. (2013). Liber8 design and methods: An integrative intervention for loss of control eating among African American and white adolescent girls. //Contemporary Clinical Trials, 34//(1), 174-185. https://doi.org/10.1016/j.cct.2012.10.012
Singh, N.N., Lancioni, G.E., Myers, R.E., Karazsia, B.T., Courtney, T.M., & Nugent, K. (2017). A mindfulness-based intervention for self-management of verbal and physical aggression by adolescents with Prader–Willi syndrome. //Developmental Neurorehabilitation, 20//(5), 253-260. https://doi.org/10.3109/17518423.2016.1141436
Walsh, J.J., Balint, M.G., Smolira, D.R., Fredericksen, L.K., & Madsen, S. (2009). Predicting individual differences in mindfulness: The role of trait anxiety, attachment anxiety and attentional control. //Personality and Individual Differences, 46//(2), 94-99. https://doi.org/10.1016/j.paid.2008.09.008
Pepping, C.A., Duvenage, M., Cronin, T.J., & Lyons, A. (2016). Adolescent mindfulness and psychopathology: The role of emotion regulation. //Personality and Individual Differences, 99//, 302-307. https://doi.org/10.1016/j.paid.2016.04.089
Tan, J.F., Yang, W., Ma, H.W., & Yu, Y.L. (2016). Adolescents' core self-evaluations as mediators of the effect of mindfulness on life satisfaction. //Social Behavior and Personality, 44//(7), 1115-1122. https://doi.org/10.2224/sbp.2016.44.7.1115
Monroe, N., & Jankowski, P.J. (2016). The effectiveness of a prayer intervention in promoting change in perceived attachment to god, positive affect, and psychological distress. //Spirituality in Clinical Practice, 3//(4), 237-249. https://doi.org/10.1037/scp0000117
Bogels, S., Hoogstad, B., van Dun, L., de Schutter, S., & Restifo, K. (2008). Mindfulness training for adolescents with externalizing disorders and their parents. //Behavioural and Cognitive Psychotherapy, 36//(2), 193-209. https://doi.org/10.1017/S1352465808004190
Malboeuf-Hurtubise, C., Achille, M., Sultan, S., & Vadnais, M. (2013). Mindfulness-based intervention for teenagers with cancer: Study protocol for a randomized controlled trial. //Trials, 14//, 135. https://doi.org/10.1186/1745-6215-14-135
Freedenberg, V.A., Hinds, P.S., & Friedmann, E. (2017). Mindfulness-based stress reduction and group support decrease stress in adolescents with cardiac diagnoses: A randomized two-group study. //Pediatric Cardiology, 38//(7), 1415-1425. https://doi.org/10.1007/s00246-017-1679-5
de Bruin, E.I., Blom, R., Smit, F.M.A., van Steensel, F.J.A., & Bogels, S.M. (2015). MYmind: Mindfulness training for Youngsters with autism spectrum disorders and their parents. //Autism, 19//(8), 906-914. https://doi.org/10.1177/1362361314553279
Przekop, P., Przekop, A., & Haviland, M.G. (2016). Multimodal compared to pharmacologic treatments for chronic tension-type headache in adolescents. //Journal of Bodywork and Movement Therapies, 20//(4), 715-721. https://doi.org/10.1016/j.jbmt.2015.02.003
Singh, N.N., Lancioni, G.E., Singh, A.D.A., Winton, A.S.W., Singh, A.N.A., & Singh, J. (2011). Adolescents with Asperger syndrome can use a mindfulness-based strategy to control their aggressive behavior. //Research in Autism Spectrum Disorders, 5//(3), 1103-1109. https://doi.org/10.1016/j.rasd.2010.12.006
Jones, P., Blunda, M., Biegel, G., Carlson, L.E., Biel, M., & Wiener, L. (2013). Can mindfulness-based interventions help adolescents with cancer?. //Psycho-Oncology, 22//(9), 2148-2151. https://doi.org/10.1002/pon.3251
Smith, O.R.F., Melkevik, O., Samdal, O., Larsen, T.M., & Haug, E. (2017). Psychometric properties of the five-item version of the Mindful Awareness Attention Scale (MAAS) in Norwegian adolescents. //Scandinavian Journal of Public Health, 45//(4), 373-380. https://doi.org/10.1177/1403494817699321
Biegel, G.M., Brown, K.W., Shapiro, S.L., & Schubert, C.A. (2009). Mindfulness-based stress reduction for the treatment of adolescent psychiatric outpatients: A randomized clinical trial. //Journal of Consulting and Clinical Psychology, 77//(5), 855-866. https://doi.org/10.1037/a0016241
Bluth, K., Gaylord, S.A., Campo, R.A., Mullarkey, M.C., & Hobbs, L. (2016). Making friends with yourself: A mixed methods pilot study of a mindful self-compassion program for adolescents. //Mindfulness, 7//(2), 479-492. https://doi.org/10.1007/s12671-015-0476-6
Bluth, K., Campo, R.A., Pruteanu-Malinici, S., Reams, A., Mullarkey, M., & Broderick, P.C. (2016). A school-based mindfulness pilot study for ethnically diverse at-risk adolescents. //Mindfulness, 7//(1), 90-104. https://doi.org/10.1007/s12671-014-0376-1
Black, D.S., Sussman, S., Johnson, C.A., & Milam, J. (2012). Testing the indirect effect of trait mindfulness on adolescent cigarette smoking through negative affect and perceived stress mediators. //Journal of Substance Use, 17//(5-6), 417-429. https://doi.org/10.3109/14659891.2011.587092
Blake, M., Waloszek, J.M., Schwartz, O., Raniti, M., Simmons, J.G., Blake, L., ... & Allen, N.B. (2016). The sense study: Post intervention effects of a randomized controlled trial of a cognitive-behavioral and mindfulness-based group sleep improvement intervention among at-risk adolescents. //Journal of Consulting and Clinical Psychology, 84//(12), 1039-1051. https://doi.org/10.1037/ccp0000142
Johnson, C., Burke, C., Brinkman, S., & Wade, T. (2017). Development and validation of a multifactor mindfulness scale in youth: The Comprehensive Inventory of Mindfulness Experiences–Adolescents (CHIME-A). //Psychological Assessment, 29//(3), 264-281. https://doi.org/10.1037/pas0000342
Badoud, D., Luyten, P., Fonseca-Pedrero, E., Eliez, S., Fonagy, P., & Debbane, M. (2015). The french version of the reflective functioning questionnaire: Validity data for adolescents and adults and its association with non-suicidal self-injury. //PLOS ONE, 10//(12), e0145892. https://doi.org/10.1371/journal.pone.0145892
Luo, Y.M., Zhu, R.J., Ju, E.X., & You, X.Q. (2016). Validation of the Chinese version of the Mind-wandering Questionnaire (MWQ) and the mediating role of self-esteem in the relationship between mind-wandering and life satisfaction for adolescents. //Personality and Individual Differences, 92//, 118-122. https://doi.org/10.1016/j.paid.2015.12.028
Pivarunas, B., Kelly, N.R., Pickworth, C.K., Cassidy, O., Radin, R.M., Shank, L.M., ... & Shomaker, L.B. (2015). Mindfulness and eating behavior in adolescent girls at risk for type 2 diabetes. //International Journal of Eating Disorders, 48//(6), 563-569. https://doi.org/10.1002/eat.22435
Zylowska, L., Ackerman, D.L., Yang, M.H., Futrell, J.L., Horton, N.L., Hale, T.S., ... & Smalley, S.L. (2008). Mindfulness meditation training in adults and adolescents with ADHD a feasibility study. //Journal of Attention Disorders, 11//(6), 737-746. https://doi.org/10.1177/1087054707308502
Augustyn, B.D., Hall, T.W., Wang, D.C., & Hill, P.C. (2017). Relational spirituality: An attachment- based model of spiritual development and psychological well-being. //Psychology of Religion and Spirituality, 9//(2), 197-208. https://doi.org/10.1037/rel0000100
Rice, F., Rawal, A., Riglin, L., Lewis, G., Lewis, G., & Dunsmuir, S. (2015). Examining reward-seeking, negative self-beliefs and over-general autobiographical memory as mechanisms of change in classroom prevention programs for adolescent depression. //Journal of Affective Disorders, 186//, 320-327. https://doi.org/10.1016/j.jad.2015.07.019
Quach, D., Gibler, R.C., & Mano, K.E.J. (2017). Does home practice compliance make a difference in the effectiveness of mindfulness interventions for adolescents?. //Mindfulness, 8//(2), 495-504. https://doi.org/10.1007/s12671-016-0624-7
Donovan, E., Rodgers, R.F., Cousineau, T.M., McGowan, K.M., Luk, S., Yates, K., ... & Franko, D.L. (2016). Brief report: Feasibility of a mindfulness and self-compassion based mobile intervention for adolescents. //Journal of Adolescence, 53//, 217-221. https://doi.org/10.1016/j.adolescence.2016.09.009
Mon, M.M., Liabsuetrakul, T., & Htut, K.M. (2016). Effectiveness of mindfulness intervention on psychological behaviors among adolescents with parental HIV infection: A group-randomized controlled trial. //Asia-Pacific Journal of Public Health, 28//(8), 765-775. https://doi.org/10.1177/1010539516675698
Dosch, A., Rochat, L., Ghisletta, P., Favez, N., & Van der Linden, M. (2016). Psychological factors involved in sexual desire, sexual activity, and sexual satisfaction: A multi-factorial perspective. //Archives of Sexual Behavior, 45//(8), 2029-2045. https://doi.org/10.1007/s10508-014-0467-z
Haydicky, J., Wiener, J., Badali, P., Milligan, K., & Ducharme, J.M. (2012). Evaluation of a mindfulness-based intervention for adolescents with learning disabilities and co-occurring ADHD and anxiety. //Mindfulness, 3//(2), 151-164. https://doi.org/10.1007/s12671-012-0089-2
Johannsen, M., O'Toole, M.S., O'Connor, M., Jensen, A.B., & Zachariae, R. (2017). Clinical and psychological moderators of the effect of mindfulness-based cognitive therapy on persistent pain in women treated for primary breast cancer - Explorative analyses from a randomized controlled trial. //Acta Oncologica, 56//(2), 321-328. https://doi.org/10.1080/0284186X.2016.1268713
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Myers, R.E., Latham, L.L., ... & Singh, J. (2014). Mindfulness-based positive behavior support (MBPBS) for mothers of adolescents with autism spectrum disorder: Effects on adolescents' behavior and parental stress. //Mindfulness, 5//(6), 646-657. https://doi.org/10.1007/s12671-014-0321-3
Ebrahiminejad, S., Poursharifi, H., Roodsari, A.B., Zeinodini, Z., & Noorbakhsh, S. (2016). The effectiveness of mindfulness-based cognitive therapy on Iranian female adolescents suffering from social anxiety. //Iranian Red Crescent Medical Journal, 18//(11), e25116. https://doi.org/10.5812/ircmj.25116
Petter, M., McGrath, P.J., Chambers, C.T., & Dick, B.D. (2014). The effects of mindful attention and state mindfulness on acute experimental pain among adolescents. //Journal of Pediatric Psychology, 39//(5), 521-531. https://doi.org/10.1093/jpepsy/jsu007
Van der Gucht, K., Takano, K., Kuppens, P., & Raes, F. (2017). Potential moderators of the effects of a school-based mindfulness program on symptoms of depression in adolescents. //Mindfulness, 8//(3), 797-806. https://doi.org/10.1007/s12671-016-0658-x
Peters, A.T., Burkhouse, K., Feldhaus, C.C., Langenecker, S.A., & Jacobs, R.H. (2016). Aberrant resting-state functional connectivity in limbic and cognitive control networks relates to depressive rumination and mindfulness: A pilot study among adolescents with a history of depression. //Journal of Affective Disorders, 200//, 178-181. https://doi.org/10.1016/j.jad.2016.03.059
Chadi, N., McMahon, A., Vadnais, M., Malboeuf-Hurtubise, C., Djemli, A., Dobkin, P.L., ... & Haley, N. (2016). Mindfulness-based intervention for female adolescents with chronic pain: A pilot randomized trial. //Journal of the Canadian Academy of Child and Adolescent Psychiatry, 25//(3), 159-168.
Raes, F., Griffith, J.W., Van der Gucht, K., & Williams, J.M.G. (2014). School-based prevention and reduction of depression in adolescents: A cluster-randomized controlled trial of a mindfulness group program. //Mindfulness, 5//(5), 477-486. https://doi.org/10.1007/s12671-013-0202-1
Harris, J.S., Stewart, D.G., & Stanton, B.C. (2017). Urge surfing as aftercare in adolescent alcohol use: A randomized control trial. //Mindfulness, 8//(1), 144-149. https://doi.org/10.1007/s12671-016-0588-7
Shin, H.S., Black, D.S., Shonkoff, E.T., Riggs, N.R., & Pentz, M.A. (2016). Associations among dispositional mindfulness, self-compassion, and executive function proficiency in early adolescents. //Mindfulness, 7//(6), 1377-1384. https://doi.org/10.1007/s12671-016-0579-8
Riggs, N.R., Black, D.S., & Ritt-Olson, A. (2015). Associations between dispositional mindfulness and executive function in early adolescence. //Journal of Child and Family Studies, 24//(9), 2745-2751. https://doi.org/10.1007/s10826-014-0077-3
Metz, S.M., Frank, J.L., Reibel, D., Cantrell, T., Sanders, R., & Broderick, P.C. (2013). The effectiveness of the learning to breathe program on adolescent emotion regulation. //Research in Human Development, 10//(3), 252-272. https://doi.org/10.1080/15427609.2013.818488
Sosin, L.S., & Rockinson-Szapkiw, A.J. (2016). Creative exposure intervention as part of clinical treatment for adolescents exposed to bullying and experiencing posttraumatic stress disorder symptoms. //Journal of Creativity in Mental Health, 11//(3-4), 391-408. https://doi.org/10.1080/15401383.2016.1251370
Wittenauer, J., Ascher, M., Briggie, A., Kreiter, A., & Chavez, J. (2015). The role of complementary and alternative medicine in adolescent substance use disorders. //Adolescent Psychiatry, 5//(2), 96-104. https://doi.org/10.2174/2210676605666150311224407
Van Gordon, W., Shonin, E., Dunn, T.J., Garcia-Campayo, J., & Griffiths, M.D. (2017). Meditation awareness training for the treatment of fibromyalgia syndrome: A randomized controlled trial. //British Journal of Health Psychology, 22//(1), 186-206. https://doi.org/10.1111/bjhp.12224
Johnstone, J.M., Roake, C., Sheikh, I., Mole, A., Nigg, J.T., & Oken, B. (2016). School-based mindfulness intervention for stress reduction in adolescents: Design and methodology of an open-label, parallel group, randomized controlled trial. //Contemporary Clinical Trials communications, 4//, 99-104. https://doi.org/10.1016/j.conctc.2016.07.001
Gambrel, L.E., Faas, C., Kaestle, C.E., & Savla, J. (2016). Interpersonal neurobiology and couple relationship quality: A longitudinal model. //Contemporary Family Therapy, 38//(3), 272-283. https://doi.org/10.1007/s10591-016-9381-y
Varnaseri, H., Lavender, T., & Lockerbie, L. (2016). An investigation of the mediating factors in the relationship between early childhood adversity and borderline personality characteristics in forensic inpatients. //Journal of Forensic Practice, 18//(1), 17-30. https://doi.org/10.1108/JFP-02-2015-0016
Garisch, J.A., & Wilson, M.S. (2015). Prevalence, correlates, and prospective predictors of non-suicidal self-injury among New Zealand adolescents: Cross-sectional and longitudinal survey data. //Child and Adolescent Psychiatry and Mental Health, 9//, 28. https://doi.org/10.1186/s13034-015-0055-6
Britton, W.B., Bootzin, R.R., Cousins, J.C., Hasler, B.P., Peck, T., & Shapiro, S.L. (2010). The contribution of mindfulness practice to a multicomponent behavioral sleep intervention following substance abuse treatment in adolescents: A treatment-development study. //Substance Abuse, 31//(2), 86-97. https://doi.org/10.1080/08897071003641297
Byron, G., Ziedonis, D.M., McGrath, C., Frazier, J.A., Dettrrijos, F., & Fulwiler, C. (2015). Implementation of mindfulness training for mental health staff: Organizational context and stakeholder perspectives. //Mindfulness, 6//(4), 861-872. https://doi.org/10.1007/s12671-014-0330-2
Cillessen, L., van de Ven, M.O., & Karremans, J.C. (2017). The role of trait mindfulness in quality of life and asthma control among adolescents with asthma. //Journal of Psychosomatic Research, 99//, 143-148. https://doi.org/10.1016/j.jpsychores.2017.06.014
Cederberg, J.T., Dahl, J., von Essen, L., & Ljungman, G. (2017). An acceptance-based intervention for children and adolescents with cancer experiencing acute pain - A single-subject study. //Journal of Pain Research, 10//, 2195-2203. https://doi.org/10.2147/JPR.S139087
Andreotti, E., Antoine, P., Hanafi, M., Michaud, L., & Gottrand, F. (2017). Pilot mindfulness intervention for children born with esophageal atresia and their parents. //Journal of Child and Family Studies, 26//(5), 1432-1444. https://doi.org/10.1007/s10826-017-0657-0
Daigneault, I., Dion, J., Hebert, M., & Bourgeois, C. (2016). Mindfulness as mediator and moderator of post-traumatic symptomatology in adolescence following childhood sexual abuse or assault. //Mindfulness, 7//(6), 1306-1315. https://doi.org/10.1007/s12671-016-0571-3
Tan, L.B.G., & Martin, G. (2016). Mind full or mindful: A report on mindfulness and psychological health in healthy adolescents. //International Journal of Adolescence and Youth, 21//(1), 64-74. https://doi.org/10.1080/02673843.2012.709174
Salmoirago-Blotcher, E., Druker, S., Meyer, F., Bock, B., Crawford, S., & Pbert, L. (2015). Design and methods for "commit to get fit" - A pilot study of a school-based mindfulness intervention to promote healthy diet and physical activity among adolescents. //Contemporary Clinical Trials, 41//, 248-258. https://doi.org/10.1016/j.cct.2015.02.004
Petter, M., Chambers, C.T., McGrath, P.J., & Dick, B.D. (2013). The role of trait mindfulness in the pain experience of adolescents. //Journal of Pain, 14//(12), 1709-1718. https://doi.org/10.1016/j.jpain.2013.08.015
Blake, M., Schwartz, O., Waloszek, J.M., Raniti, M., Simmons, J.G., Murray, G., ... & Allen, N.B. (2017). The sense study: Treatment mechanisms of a cognitive behavioral and mindfulness-based group sleep improvement intervention for at-risk adolescents. //Sleep, 40//(6), ZSX061. https://doi.org/10.1093/sleep/zsx061
Michaelson, V., Trothen, T., Ascough, H., & Pickett, W. (2016). Canadian children and spiritual health: Foundations for spiritual care. //Journal of Pastoral Care & Counseling, 70//(4), 244-256. https://doi.org/10.1177/1542305016680630
Jiang, Y.Q., You, J.N., Ren, Y.X., Sun, R., Liao, S.Y., Zhu, J.J., ... & Ma, N. (2017). Brief report: A preliminary comparison of self-compassion between adolescents with nonsuicidal self-injury thoughts and actions. //Journal of Adolescence, 59//, 124-128. https://doi.org/10.1016/j.adolescence.2017.05.019
Bach, J.M., & Guse, T. (2015). The effect of contemplation and meditation on 'great compassion' on the psychological well-being of adolescents. //Journal of Positive Psychology, 10//(4), 359-369. https://doi.org/10.1080/17439760.2014.965268
Oberle, E., Schonert-Reichl, K.A., Lawlor, M.S., & Thomson, K.C. (2012). Mindfulness and inhibitory control in early adolescence. //Journal of Early Adolescence, 32//(4), 565-588. https://doi.org/10.1177/0272431611403741
Van Vliet, K.J., Foskett, A.J., Williams, J.L., Singhal, A., Dolcos, F., & Vohra, S. (2017). Impact of a mindfulness-based stress reduction program from the perspective of adolescents with serious mental health concerns. //Child and Adolescent Mental Health, 22//(1), 16-22. https://doi.org/10.1111/camh.12170
Marusak, H.A., Elrahal, F., Peters, C.A., Kundu, P., Lombardo, M.V., Calhoun, V.D., ... & Rabinak, C.A. (2018). Mindfulness and dynamic functional neural connectivity in children and adolescents. //Behavioural Brain Research, 336//, 211-218. https://doi.org/10.1016/j.bbr.2017.09.010
Kanen, J.W., Nazir, R., Sedky, K., & Pradhan, B.K. (2015). The effects of mindfulness-based interventions on sleep disturbance: A meta-analysis. //Adolescent Psychiatry, 5//(2), 105-115. https://doi.org/10.2174/2210676605666150311222928
Worling, J. (2012). The assessment and treatment of deviant sexual arousal with adolescents who have offended sexually. //Journal of Sexual Aggression, 18//(1), 36-63. https://doi.org/10.1080/13552600.2011.630152
Marks, A.D.G., Sobanski, D.J., & Hine, D.W. (2010). Do dispositional rumination and/or mindfulness moderate the relationship between life hassles and psychological dysfunction in adolescents?. //Australian and New Zealand Journal of Psychiatry, 44//(9), 831-838. https://doi.org/10.3109/00048674.2010.487478
Sams, D.P., Garrison, D., & Bartlett, J. (2016). Innovative strength-based care in child and adolescent inpatient psychiatry. //Journal of Child and Adolescent Psychiatric Nursing, 29//(3), 110-117. https://doi.org/10.1111/jcap.12147
Jelenova, D., Prasko, J., Ociskova, M., Karaskova, E., Kolarova, J., Hunkova, M., ... & Mihal, V. (2016). Psychoeducation of adolescents with inflammatory bowel diseases and their families. //Activitas Nervosa Superior Rediviva, 58//(1), 33-39.
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
[img[tps86.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Goldhagen, B.E., Kingsolver, K., Stinnett, S.S., & Rosdahl, J.A. (2015). Stress and burnout in residents: Impact of mindfulness-based resilience training. //Advances in Medical Education and Practice, 6//, 525-532. https://doi.org/10.2147/AMEP.S88580
Braun, S.E., Auerbach, S.M., Rybarczyk, B., Lee, B., & Call, S. (2017). Mindfulness, burnout, and effects on performance evaluations in internal medicine residents. //Advances in Medical Education and Practice, 8//, 591-597. https://doi.org/10.2147/AMEP.S140554
Lases, S.S., Lombarts, M.J.M.H., Slootweg, I.A., Arah, O.A., Pierik, E.G.J.M., & Heineman, E. (2016). Evaluating mind fitness training and its potential effects on surgical residents' well-being: A mixed methods pilot study. //World Journal of Surgery, 40//(1), 29-37. https://doi.org/10.1007/s00268-015-3278-z
Bussing, A., Falkenberg, Z., Schoppe, C., Recchia, D.R., & Poier, D. (2017). Work stress associated cool down reactions among nurses and hospital physicians and their relation to burnout symptoms. //BMC Health Services Research, 17//. https://doi.org/10.1186/s12913-017-2445-3
Van Gordon, W., Shonin, E., Dunn, T.J., Garcia-Campayo, J., Demarzo, M.M.P., & Griffiths, M.D. (2017). Meditation awareness training for the treatment of workaholism: A controlled trial. //Journal of Behavioral Addictions, 6//(2), 212-220. https://doi.org/10.1556/2006.6.2017.021
Amanullah, S., McNally, K., Zelin, J., Cole, J., & Cernovsky, Z. (2017). Are burnout prevention programs for hospital physicians needed?. //Asian Journal of Psychiatry, 26//, 66-69. https://doi.org/10.1016/j.ajp.2017.01.009
Real, K., Fields-Elswick, K., & Bernard, A.C. (2017). Understanding resident performance, mindfulness, and communication in critical care rotations. //Journal of Surgical Education, 74//(3), 503-512. https://doi.org/10.1016/j.jsurg.2016.11.010
Romani, M., & Ashkar, K. (2014). Burnout among physicians. //Libyan Journal of Medicine, 9//(1), 23556. https://doi.org/10.3402/ljm.v9.23556
McClafferty, H., & Brown, O.W. (2014). Physician health and wellness. //Pediatrics, 134//(4), 830-835. https://doi.org/10.1542/peds.2014-2278
West, C.P., Dyrbye, L.N., Rabatin, J.T., Call, T.G., Davidson, J.H., Multari, A., ... & Shanafelt, T.D. (2014). Intervention to promote physician well-being, job satisfaction, and professionalism a randomized clinical trial. //JAMA Internal Medicine, 174//(4), 527-533. https://doi.org/10.1001/jamainternmed.2013.14387
Taylor, N.Z., & Millear, P.M.R. (2016). The contribution of mindfulness to predicting burnout in the workplace. //Personality and Individual Differences, 89//, 123-128. https://doi.org/10.1016/j.paid.2015.10.005
Moody, K., Kramer, D., Santizo, R.O., Magro, L., Wyshogrod, D., Ambrosio, J., ... & Stein, J. (2013). Helping the helpers: Mindfulness training for burnout in pediatric oncology-a pilot program. //Journal of Pediatric Oncology Nursing, 30//(5), 275-284. https://doi.org/10.1177/1043454213504497
Goodman, M.J., & Schorling, J.B. (2012). A mindfulness course decreases burnout and improves well-being among healthcare providers. //International Journal of Psychiatry in Medicine, 43//(2), 119-128. https://doi.org/10.2190/PM.43.2.b
Hintsa, T., Hintsanen, M., Jokela, M., & Keltikangas-Jarvinen, L. (2013). Temporal and energetic characteristics of behavior predicting long-term job strain, job demands, and job control a population-based study. //Journal of Occupational and Environmental Medicine, 55//(3), 331-336. https://doi.org/10.1097/JOM.0b013e31827b736a
Chaukos, D., Chad-Friedman, E., Mehta, D.H., Byerly, L., Celik, A., Mccoy, T.H., ... & Denninger, J.W. (2017). Risk and resilience factors associated with resident burnout. //Academic Psychiatry, 41//(2), 189-194. https://doi.org/10.1007/s40596-016-0628-6
Schneider, S., Kingsolver, K., & Rosdahl, J. (2014). Physician coaching to enhance well-being: A qualitative analysis of a pilot intervention. //Explore: The Journal of Science and Healing, 10//(6), 372-379. https://doi.org/10.1016/j.explore.2014.08.007
Shiba, K., Nishimoto, M., Sugimoto, M., & Ishikawa, Y. (2015). The association between meditation practice and job performance: A cross-sectional study. //PLOS ONE, 10//(5), e0145140. https://doi.org/10.1371/journal.pone.0128287
Regehr, C., Glancy, D., Pitts, A., & LeBlanc, V.R. (2014). Interventions to reduce the consequences of stress in physicians: A review and meta-analysis. //Journal of Nervous and Mental Disease, 202//(5), 353-359. https://doi.org/10.1097/NMD.0000000000000130
Montero-Marin, J., Tops, M., Manzanera, R., Demarzo, M.M.P., de Mon, M.A., & Garcia-Campayo, J. (2015). Mindfulness, resilience, and burnout subtypes in primary care physicians: The possible mediating role of positive and negative affect. //Frontiers in Psychology, 6//, 1895. https://doi.org/10.3389/fpsyg.2015.01895
Yang, S.Y., Meredith, P., & Khan, A. (2017). Is mindfulness associated with stress and burnout among mental health professionals in singapore?. //Psychology Health & Medicine, 22//(6), 673-679. https://doi.org/10.1080/13548506.2016.1220595
Huang, S.L., Li, R.H., Huang, F.Y., & Tang, F.C. (2015). The potential for mindfulness-based intervention in workplace mental health promotion: Results of a randomized controlled trial. //PLOS ONE, 10//(9), e0138089. https://doi.org/10.1371/journal.pone.0138089
Baker, C., Huxley, P., Dennis, M., Islam, S., & Russell, I. (2015). Alleviating staff stress in care homes for people with dementia: Protocol for stepped-wedge cluster randomised trial to evaluate a web-based mindfulness- stress reduction course. //BMC Psychiatry, 15//, 317. https://doi.org/10.1186/s12888-015-0703-7
Suyi, Y., Meredith, P., & Khan, A. (2017). Effectiveness of mindfulness intervention in reducing stress and burnout for mental health professionals in singapore. //Explore: The Journal of Science and Healing, 13//(5), 319-326. https://doi.org/10.1016/j.explore.2017.06.001
Di Benedetto, M., & Swadling, M. (2014). Burnout in Australian psychologists: Correlations with work-setting, mindfulness and self-care behaviours. //Psychology Health & Medicine, 19//(6), 705-715. https://doi.org/10.1080/13548506.2013.861602
Montero-Marin, J., Prado-Abril, J., Demarzo, M.M.P., Gascon, S., & Garcia-Campayo, J. (2014). Coping with stress and types of burnout: Explanatory power of different coping strategies. //PLOS ONE, 9//(2), e89090. https://doi.org/10.1371/journal.pone.0089090
Runyan, C., Savageau, J.A., Potts, S., & Weinreb, L. (2016). Impact of a family medicine resident wellness curriculum: A feasibility study. //Medical Education online, 21//, 30648. https://doi.org/10.3402/meo.v21.30648
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., ... & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. //JAMA: Journal of the American Medical Association, 302//(12), 1284-1293. https://doi.org/10.1001/jama.2009.1384
Verweij, H., Waumans, R.C., Smeijers, D., Lucassen, P.L.B.J., Donders, A.R.T., van der Horst, H.E., ... & Speckens, A.E.M. (2016). Mindfulness-based stress reduction for GPs: Results of a controlled mixed methods pilot study in dutch primary care. //British Journal of General Practice, 66//(643), E99-E105. https://doi.org/10.3399/bjgp16X683497
Atkinson, D.M., Rodman, J.L., Thuras, P.D., Shiroma, P.R., & Lim, K.O. (2017). Examining burnout, depression, and self-compassion in veterans affairs mental health staff. //Journal of Alternative and Complementary Medicine, 23//(7), 551-557. https://doi.org/10.1089/acm.2017.0087
Norouzinia, R., Ramezani, Z., Khalili, A., Dehghani, M., & Sharifis, A. (2017). The effect of mindfulness-based stress reduction training on stress and burnout of nurses. //Indo American Journal of Pharmaceutical Sciences, 4//(5), 1296-1302. https://doi.org/10.5281/zenodo.802200
Judd, M.J., Dorozenko, K.P., & Breen, L.J. (2017). Workplace stress, burnout and coping: A qualitative study of the experiences of australian disability support workers. //Health & Social Care in the Community, 25//(3), 1109-1117. https://doi.org/10.1111/hsc.12409
Ripp, J.A., Privitera, M.R., West, C.P., Leiter, R., Logio, L., Shapiro, J., ... & Bazari, H. (2017). Well-being in graduate medical education: A call for action. //Academic Medicine, 92//(7), 914-917. https://doi.org/10.1097/ACM.0000000000001735
Brennan, J., & McGrady, A. (2015). Designing and implementing a resiliency program for family medicine residents. //International Journal of Psychiatry in Medicine, 50//(1), 104-114. https://doi.org/10.1177/0091217415592369
Butler, D.J., Holloway, R.L., & Fons, D. (2013). Training the "assertive practitioner of behavioral science": Advancing a behavioral medicine track in a family medicine residency. //International Journal of Psychiatry in Medicine, 45//(4), 311-322. https://doi.org/10.2190/PM.45.4.b
Fortney, L., Luchterhand, C., Zakletskaia, L., Zgierska, A., & Rakel, D. (2013). Abbreviated mindfulness intervention for job satisfaction, quality of life, and compassion in primary care clinicians: A pilot study. //Annals of Family Medicine, 11//(5), 412-420. https://doi.org/10.1370/afm.1511
Shonin, E., & Van Gordon, W. (2015). Managers' experiences of meditation awareness training. //Mindfulness, 6//(4), 899-NA. https://doi.org/10.1007/s12671-014-0334-y
Shonin, E., Van Gordon, W., Dunn, T.J., Singh, N.N., & Griffiths, M.D. (2014). Meditation awareness training (mat) for work-related wellbeing and job performance: A randomised controlled trial. //International Journal of Mental Health and Addiction, 12//(6), 806-823. https://doi.org/10.1007/s11469-014-9513-2
Pflugeisen, B.M., Drummond, D., Ebersole, D., Mundell, K., & Chen, D. (2016). Brief video-module administered mindfulness program for physicians: A pilot study. //Explore: The Journal of Science and Healing, 12//(1), 50-54. https://doi.org/10.1016/j.explore.2015.10.005
Westphal, M., Bingisser, M.B., Feng, T.S., Wall, M., Blakley, E., Bingisser, R., ... & Kleim, B. (2015). Protective benefits of mindfulness in emergency room personnel. //Journal of Affective Disorders, 175//, 79-85. https://doi.org/10.1016/j.jad.2014.12.038
Gazelle, G., Liebschutz, J.M., & Riess, H. (2015). Physician burnout: Coaching a way out. //Journal of General Internal Medicine, 30//(4), 508-513. https://doi.org/10.1007/s11606-014-3144-y
Andrews, M.C., Kacmar, K.M., & Kacmar, C. (2014). The mediational effect of regulatory focus on the relationships between mindfulness and job satisfaction and turnover intentions. //Career Development International, 19//(5), 494-507. https://doi.org/10.1108/CDI-02-2014-0018
Charoensukmongkol, P. (2013). The contributions of mindfulness meditation on burnout, coping strategy, and job satisfaction: Evidence from Thailand. //Journal of Management & Organization, 19//(5), 544-558. https://doi.org/10.1017/jmo.2014.8
Wen, L., Sweeney, T.E., Welton, L., Trockel, M., & Katznelson, L. (2017). Encouraging mindfulness in medical house staff via smartphone app: A pilot study. //Academic Psychiatry, 41//(5), 646-650. https://doi.org/10.1007/s40596-017-0768-3
McCormack, H.M., MacIntyre, T.E., O'Shea, D., Campbell, M.J., & Igou, E.R. (2015). Practicing what we preach: Investigating the role of social support in sport psychologists' well-being. //Frontiers in Psychology, 6//, 1854. https://doi.org/10.3389/fpsyg.2015.01854
Rushton, C.H., Batcheller, J., Schroeder, K., & Donohue, P. (2015). Burnout and resilience among nurses practicing in high-intensity settings. //American Journal of Critical Care, 24//(5), 412-420. https://doi.org/10.4037/ajcc2015291
Zivnuska, S., Kacmar, K.M., Ferguson, M., & Carlson, D.S. (2016). Mindfulness at work: Resource accumulation, well-being, and attitudes. //Career Development International, 21//(2), 106-124. https://doi.org/10.1108/CDI-06-2015-0086
Atanes, A.C.M., Andreoni, S., Hirayama, M.S., Montero-Marin, J., Barros, V.V., Ronzani, T.M., ... & Demarzo, M.M.P. (2015). Mindfulness, perceived stress, and subjective well-being: A correlational study in primary care health professionals. //BMC Complementary and Alternative Medicine, 15//, 303. https://doi.org/10.1186/s12906-015-0823-0
Scarlet, J., Altmeyer, N., Knier, S., & Harpin, R.E. (2017). The effects of compassion cultivation training (CCT) on healthcare workers. //Clinical Psychologist, 21//(2), 116-124. https://doi.org/10.1111/cp.12130
Taylor, M., Hageman, J.R., & Brown, M. (2016). A mindfulness intervention for residents: Relevance for pediatricians. //Pediatric Annals, 45//(10), E373-E376. https://doi.org/10.3928/19382359-20160912-01
Ireland, M.J., Clough, B., Gill, K., Langan, F., O'Connor, A., & Spencer, L. (2017). A randomized controlled trial of mindfulness to reduce stress and burnout among intern medical practitioners. //Medical Teacher, 39//(4), 409-414. https://doi.org/10.1080/0142159X.2017.1294749
Voci, A., Veneziani, C.A., & Bernardi, S. (2016). Dispositional mindfulness and self-compassion as predictors of work-related well-being. //Psicologia Sociale, 11//(1), 69-88. https://doi.org/10.1482/82881
Reb, J., Narayanan, J., Chaturvedi, S., & Ekkirala, S. (2017). The mediating role of emotional exhaustion in the relationship of mindfulness with turnover intentions and job performance. //Mindfulness, 8//(3), 707-716. https://doi.org/10.1007/s12671-016-0648-z
Edgoose, J.Y.C., Regner, C.J., & Zakletskaia, L.I. (2015). Breathe out: A randomized controlled trial of a structured intervention to improve clinician satisfaction with "difficult" visits. //Journal of the American Board of Family Medicine, 28//(1), 13-20. https://doi.org/10.3122/jabfm.2015.01.130323
Carson, R.L., Baumgartner, J.J., Ota, C.L., Kuhn, A.P., & Durr, A. (2017). An ecological momentary assessment of burnout, rejuvenation strategies, job satisfaction, and quitting intentions in childcare teachers. //Early Childhood Education Journal, 45//(6), 801-808. https://doi.org/10.1007/s10643-016-0831-9
Wongtongkam, N., Krivokapic-Skoko, B., Duncan, R., & Bellio, M. (2017). The influence of a mindfulness-based intervention on job satisfaction and work-related stress and anxiety. //International Journal of Mental Health Promotion, 19//(3), 134-143. https://doi.org/10.1080/14623730.2017.1316760
Van Gordon, W., Shonin, E., Sumich, A., Sundin, E.C., & Griffiths, M.D. (2014). Meditation awareness training (MAT) for psychological well-being in a sub-clinical sample of university students: A controlled pilot study. //Mindfulness, 5//(4), 381-391. https://doi.org/10.1007/s12671-012-0191-5
Voci, A., Veneziani, C.A., & Metta, M. (2016). Affective organizational commitment and dispositional mindfulness as correlates of burnout in health care professionals. //Journal of Workplace Behavioral Health, 31//(2), 63-70. https://doi.org/10.1080/15555240.2015.1047500
Steinberg, B.A., Klatt, M., & Duchemin, A.M. (2017). Feasibility of a mindfulness-based intervention for surgical intensive care unit personnel. //American Journal of Critical Care, 26//(1), 10-18. https://doi.org/10.4037/ajcc2017444
Harker, R., Pidgeon, A.M., Klaassen, F., & King, S. (2016). Exploring resilience and mindfulness as preventative factors for psychological distress burnout and secondary traumatic stress among human service professionals. //Work - A Journal of Prevention Assessment & Rehabilitation, 54//(3), 631-637. https://doi.org/10.3233/WOR-162311
Gerzina, H.A., & Porfeli, E.J. (2012). Mindfulness as a predictor of positive reappraisal and burnout in standardized patients. //Teaching and Learning in Medicine, 24//(4), 309-314. https://doi.org/10.1080/10401334.2012.715255
Connelly, J.E. (2009). The avoidance of human suffering. //Perspectives in Biology and Medicine, 52//(3), 381-391. https://doi.org/10.1353/pbm.0.0095
Asuero, A.M., Queralto, J.M., Pujol-Ribera, E., Berenguera, A., Rodriguez-Blanco, T., & Epstein, R.M. (2014). Effectiveness of a mindfulness education program in primary health care professionals: A pragmatic controlled trial. //Journal of Continuing Education in the Health Professions, 34//(1), 4-12. https://doi.org/10.1002/chp.21211
Beckman, H.B., Wendland, M., Mooney, C., Krasner, M.S., Quill, T.E., Suchman, A.L., ... & Epstein, R.M. (2012). The impact of a program in mindful communication on primary care physicians. //Academic Medicine, 87//(6), 815-819. https://doi.org/10.1097/ACM.0b013e318253d3b2
Perseius, K.I., Kaver, A., Ekdahl, S., Asberg, M., & Samuelsson, M. (2007). Stress and burnout in psychiatric professionals when starting to use dialectical behavioural therapy in the work with young self-harming women showing borderline personality symptoms. //Journal of Psychiatric and Mental Health Nursing, 14//(7), 635-643.
Magtibay, D.L., Chesak, S.S., Coughlin, K., & Sood, A. (2017). Decreasing stress and burnout in nurses efficacy of blended learning with stress management and resilience training program. //Journal of Nursing Administration, 47//(7-8), 391-395. https://doi.org/10.1097/NNA.0000000000000501
Amutio, A., Martinez-Taboada, C., Delgado, L.C., Hermosilla, D., & Mozaz, M.J. (2015). Acceptability and effectiveness of a long-term educational intervention to reduce physicians' stress-related conditions. //Journal of Continuing Education in the Health Professions, 35//(4), 255-260. https://doi.org/10.1097/CEH.0000000000000002
Frank, J.L., Jennings, P.A., & Greenberg, M.T. (2016). Validation of the mindfulness in teaching scale. //Mindfulness, 7//(1), 155-163. https://doi.org/10.1007/s12671-015-0461-0
de Bruin, E.I., Formsma, A.R., Frijstein, G., & Bogels, S.M. (2017). Mindful2work: Effects of combined physical exercise, yoga, and mindfulness meditations for stress relieve in employees. A proof of concept study. //Mindfulness, 8//(1), 204-217. https://doi.org/10.1007/s12671-016-0593-x
Zhang, C.Q., Si, G.Y., Chung, P.K., & Gucciardi, D.F. (2016). Mindfulness and burnout in elite junior athletes: The mediating role of experiential avoidance. //Journal of Applied Sport Psychology, 28//(4), 437-451. https://doi.org/10.1080/10413200.2016.1162223
Gustafsson, H., Davis, P., Skoog, T., Kentta, G., & Haberl, P. (2015). Mindfulness and its relationship with perceived stress, affect, and burnout in elite junior athletes. //Journal of Clinical Sport Psychology, 9//(3), 263-281. https://doi.org/10.1123/jcsp.2014-0051
Hayes, S.C., Bissett, R., Roget, N., Padilla, M., Kohlenberg, B.S., Fisher, G., ... & Niccolls, R. (2004). The impact of acceptance and commitment training and multicultural training on the stigmatizing attitudes and professional burnout of substance abuse counselors. //Behavior Therapy, 35//(4), 821-835. https://doi.org/10.1016/S0005-7894(04)80022-4
Lloyd, J., Bond, F.W., & Flaxman, P.E. (2013). The value of psychological flexibility: Examining psychological mechanisms underpinning a cognitive behavioural therapy intervention for burnout. //Work and Stress, 27//(2), 181-199. https://doi.org/10.1080/02678373.2013.782157
Rees, C.S., Heritage, B., Osseiran-Moisson, R., Chamberlain, D., Cusack, L., Anderson, J., ... & Hegney, D.G. (2016). Can we predict burnout among student nurses? An exploration of the ICWR-1 model of individual psychological resilience. //Frontiers in Psychology, 7//, 1072. https://dx.doi.org/10.3389%2Ffpsyg.2016.01072
Kaplan, J.B., Bergman, A.L., Christopher, M., Bowen, S., & Hunsinger, M. (2017). Role of resilience in mindfulness training for first responders. //Mindfulness, 8//(5), 1373-1380. https://doi.org/10.1007/s12671-017-0713-2
Vilardaga, R., Luoma, J.B., Hayes, S.C., Pistorello, J., Levin, M.E., Hildebrandt, M.J., ... & Bond, F. (2011). Burnout among the addiction counseling workforce: The differential roles of mindfulness and values-based processes and work-site factors. //Journal of Substance Abuse Treatment, 40//(4), 323-335. https://doi.org/10.1016/j.jsat.2010.11.015
Jacobs, S.J., & Blustein, D.L. (2008). Mindfulness as a coping mechanism for employment uncertainty. //Career Development Quarterly, 57//(2), 174-180. https://doi.org/10.1002/j.2161-0045.2008.tb00045.x
Zivnuska, S., Kacmar, K.M., & Valle, M. (2017). The mechanisms of regulatory focus mindfulness, leader-member exchange, and motivational outcomes. //Career Development International, 22//(1), 37-49. https://doi.org/10.1108/CDI-07-2016-0120
Lee, Y.C., Huang, S.C., Huang, C.H., & Wu, H.H. (2016). A new approach to identify high burnout medical staffs by kernel k-means cluster analysis in a regional teaching hospital in Taiwan. //INQUIRY: The Journal of Health Care Organization Provision and Financing, 53//, 1-6. https://doi.org/10.1177/0046958016679306
Charoensukmongkol, P. (2016). Mindful Facebooking: The moderating role of mindfulness on the relationship between social media use intensity at work and burnout. //Journal of Health Psychology, 21//(9), 1966-1980. https://doi.org/10.1177/1359105315569096
Kotze, M., & Nel, P. (2016). The psychometric properties of the mindful attention awareness scale (MAAS) and Freiburg mindfulness inventory (FMI) as measures of mindfulness and their relationship with burnout and work engagement. //SA Journal of Industrial Psychology, 42//(1), a1366. https://doi.org/10.4102/sajip.v42i1.1366
van Mol, M.M.C., Kompanje, E.J.O., Benoit, D.D., Bakker, J., & Nijkamp, M.D. (2015). The prevalence of compassion fatigue and burnout among healthcare professionals in intensive care units: A systematic review. //PLOS ONE, 10//(8), e0136955. https://doi.org/10.1371/journal.pone.0136955
Van Gordon, W., Shonin, E., Zangeneh, M., & Griffiths, M. (2014). Work-related mental health and job performance: Can mindfulness help?. //International Journal of Mental Health and Addiction, 12//(2), 129-137. https://doi.org/10.1007/s11469-014-9484-3
Brooker, J., Julian, J., Webber, L., Chan, J., Shawyer, F., & Meadows, G. (2013). Evaluation of an occupational mindfulness program for staff employed in the disability sector in Australia. //Mindfulness, 4//(2), 122-136. https://doi.org/10.1007/s12671-012-0112-7
Emran, S.A.N. (2015). An intellectual virtue "vaccination" for physician-pharmaceutical industry interactions. //Academic Medicine, 90//(1), 30-32. https://doi.org/10.1097/ACM.0000000000000525
[img[tps87.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Brotto, L.A., Basson, R., & Luria, M. (2008). A mindfulness-based group psychoeducational intervention targeting sexual arousal disorder in women. //Journal of Sexual Medicine, 5//(7), 1646-1659. https://doi.org/10.1111/j.1743-6109.2008.00850.x
Brotto, L.A., Chivers, M.L., Millman, R.D., & Albert, A. (2016). Mindfulness-based sex therapy improves genital-subjective arousal concordance in women with sexual desire/arousal difficulties. //Archives of Sexual Behavior, 45//(8), 1907-1921. https://doi.org/10.1007/s10508-015-0689-8
Bober, S.L., Recklitis, C.J., Bakan, J., Garber, J.E., & Patenaude, A.F. (2015). Addressing sexual dysfunction after risk-reducing salpingo-oophorectomy: Effects of a brief, psychosexual intervention. //Journal of Sexual Medicine, 12//(1), 189-197. https://doi.org/10.1111/jsm.12713
Adam, F., Geonet, M., Day, J., & de Sutter, P. (2015). Mindfulness skills are associated with female orgasm?. //Sexual and Relationship Therapy, 30//(2), 256-267. https://doi.org/10.1080/14681994.2014.986085
Brotto, L.A., Krychman, M., & Jacobson, P. (2008). Eastern approaches for enhancing women's sexuality: Mindfulness, acupuncture, and yoga (CME). //Journal of Sexual Medicine, 5//(12), 2741-2748. https://doi.org/10.1111/j.1743-6109.2008.01071.x
Dosch, A., Rochat, L., Ghisletta, P., Favez, N., & Van der Linden, M. (2016). Psychological factors involved in sexual desire, sexual activity, and sexual satisfaction: A multi-factorial perspective. //Archives of Sexual Behavior, 45//(8), 2029-2045. https://doi.org/10.1007/s10508-014-0467-z
Brotto, L.A., Seal, B.N., & Rellini, A. (2012). Pilot study of a brief cognitive behavioral versus mindfulness-based intervention for women with sexual distress and a history of childhood sexual abuse. //Journal of Sex & Marital Therapy, 38//(1), 1-27. https://doi.org/10.1080/0092623X.2011.569636
Moyano, N., Dib-Fayad, N., & Velez-Schemankewitz, M. (2017). Adaptation and validation of the Sexual Self-consciousness Scale in Ecuadorian women. //Sexual and Relationship Therapy, 32//(2), 155-172. https://doi.org/10.1080/14681994.2017.1295137
Bird, E.R., Seehuus, M., Clifton, J., & Rellini, A.H. (2014). Dissociation during sex and sexual arousal in women with and without a history of childhood sexual abuse. //Archives of Sexual Behavior, 43//(5), 953-964. https://doi.org/10.1007/s10508-013-0191-0
Worling, J. (2012). The assessment and treatment of deviant sexual arousal with adolescents who have offended sexually. //Journal of Sexual Aggression, 18//(1), 36-63. https://doi.org/10.1080/13552600.2011.630152
Dunkley, C.R., Goldsmith, K.M., & Gorzalka, B.B. (2015). The potential role of mindfulness in protecting against sexual insecurities. //Canadian Journal of Human Sexuality, 24//(2), 92-103. https://doi.org/10.3138/cjhs.242-A7
Brotto, L.A., Heiman, J.R., Goff, B., Greer, B., Lentz, G.M., Swisher, E., ... & Van Blaricom, A. (2008). A psychoeducational intervention for sexual dysfunction in women with gynecologic cancer. //Archives of Sexual Behavior, 37//(2), 317-329. https://doi.org/10.1007/s10508-007-9196-x
de Jong, D.C. (2009). The role of attention in sexual arousal: Implications for treatment of sexual dysfunction. //Journal of Sex Research, 46//(2-3), 237-248. https://doi.org/10.1080/00224490902747230
Lazaridou, A., & Kalogianni, C. (2013). Mindfulness and sexuality. //Sexual and Relationship Therapy, 28//(1-2), 29-38. https://doi.org/10.1080/14681994.2013.773398
Hucker, A., & McCabe, M.P. (2015). Incorporating mindfulness and chat groups into an online cognitive behavioral therapy for mixed female sexual problems. //Journal of Sex Research, 52//(6), 627-639. https://doi.org/10.1080/00224499.2014.888388
Goldstein, I., Kim, N.N., Clayton, A.H., DeRogatis, L.R., Giraldi, A., Parish, S.J., ... & Worsley, R. (2017). Hypoactive sexual desire disorder: International Society for the Study of Women's Sexual Health (ISSWSH) expert consensus panel review. //Mayo Clinic Proceedings, 92//(1), 114-128. https://doi.org/10.1016/j.mayocp.2016.09.018
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N., Adkins, A.D., & Singh, J. (2011). Can adult offenders with intellectual disabilities use mindfulness-based procedures to control their deviant sexual arousal?. //Psychology Crime & Law, 17//(2), 165-179. https://doi.org/10.1080/10683160903392731
Brotto, L.A., & Basson, R. (2014). Group mindfulness-based therapy significantly improves sexual desire in women. //Behaviour Research and Therapy, 57//, 43-54. https://doi.org/10.1016/j.brat.2014.04.001
Adam, F., Heeren, A., Day, J., & de Sutter, P. (2015). Development of the Sexual Five-Facet Mindfulness Questionnaire (FFMQ-S): Validation among a community sample of French-speaking women. //Journal of Sex Research, 52//(6), 617-626. https://doi.org/10.1080/00224499.2014.894490
Hill, J.M., Vernig, P.M., Lee, J.K., Brown, C., & Orsillo, S.M. (2011). The development of a brief acceptance and mindfulness-based program aimed at reducing sexual revictimization among college women with a history of childhood sexual abuse. //Journal of Clinical Psychology, 67//(9), 969-980. https://doi.org/10.1002/jclp.20813
Daigneault, I., Dion, J., Hebert, M., & Bourgeois, C. (2016). Mindfulness as mediator and moderator of post-traumatic symptomatology in adolescence following childhood sexual abuse or assault. //Mindfulness, 7//(6), 1306-1315. https://doi.org/10.1007/s12671-016-0571-3
Brotto, L.A., Erskine, Y., Carey, M., Ehlen, T., Finlayson, S., Heywood, M., ... & Miller, D. (2012). A brief mindfulness-based cognitive behavioral intervention improves sexual functioning versus wait-list control in women treated for gynecologic cancer. //Gynecologic Oncology, 125//(2), 320-325. https://doi.org/10.1016/j.ygyno.2012.01.035
Dhikav, V., Karmarkar, G., Gupta, R., Verma, M., Gupta, R., Gupta, S., ... & Anand, K.S. (2010). Yoga in female sexual functions. //Journal of Sexual Medicine, 7//(2), 964-970. https://doi.org/10.1111/j.1743-6109.2009.01580.x
Costa, R.M., Pestana, J., Costa, D., & Wittmann, M. (2016). Altered states of consciousness are related to higher sexual responsiveness. //Consciousness and Cognition, 42//, 135-141. https://doi.org/10.1016/j.concog.2016.03.013
Basson, R., Driscoll, M., & Correia, S. (2016). When sex is always painful: Provoked vestibulodynia. //British Columbia Medical Journal, 58//(2), 77-81.
Brotto, L.A., Basson, R., Smith, K.B., Driscoll, M., & Sadownik, L. (2015). Mindfulness-based group therapy for women with provoked vestibulodynia. //Mindfulness, 6//(3), 417-432. https://doi.org/10.1007/s12671-013-0273-z
Paterson, L.Q.P., Handy, A.B., & Brotto, L.A. (2017). A pilot study of eight-session mindfulness-based cognitive therapy adapted for women's sexual interest/arousal disorder. //Journal of Sex Research, 54//(7), 850-861. https://doi.org/10.1080/00224499.2016.1208800
Newcombe, B.C., & Weaver, A.D. (2016). Mindfulness, cognitive distraction, and sexual well-being in women. //Canadian Journal of Human Sexuality, 25//(2), 99-108. https://doi.org/10.3138/cjhs.252-A3
Burrows, C.J. (2013). Acceptance and commitment therapy with survivors of adult sexual assault: A case study. //Clinical Case Studies, 12//(3), 246-259. https://doi.org/10.1177/1534650113479652
Craven, M.K., Thelen, R.L., Elliott, L., & Laear, A.J. (2016). Provoked vulvodynia: A holistic treatment approach. //The Journal for Nurse Practitioners, 12//(8), 530-535. https://doi.org/10.1016/j.nurpra.2016.05.006
Benotsch, E.G., Sawyer, A.N., Martin, A.M., Allen, E.S., Nettles, C.D., Richardson, D., ... & Rietmeijer, C.A. (2017). Dependency traits, relationship power, and health risks in women receiving sexually-transmitted infection clinic services. //Behavioral Medicine, 43//(3), 176-183. https://doi.org/10.1080/08964289.2017.1297291
Beech, A.R., & Gillespie, S.M. (2014). The understanding and treatment of sexual offenders in the 21st century: A neurobiological perspective. //Monatsschrift Fur Kriminologie Und Strafrechtsreform, 97//(1), 78-84.
LePage, K., & Selk, A. (2016). What do patients want? A needs assessment of vulvodynia patients attending a vulvar diseases clinic. //Sexual Medicine, 4//(4), E242-E248. https://doi.org/10.1016/j.esxm.2016.06.003
Sharifi, M., Fatehizade, M., Bahrami, F., Jazayeri, R.A., & Etemadi, O. (2017). Sexual dynamics of married women with interpersonal dependency: A qualitative study on Iranian women. //Psychopathology, 50//(4), 231-238. https://doi.org/10.1159/000460823
Silverstein, R.G., Brown, A.C.H., Roth, H.D., & Britton, W.B. (2011). Effects of mindfulness training on body awareness to sexual stimuli: Implications for female sexual dysfunction. //Psychosomatic Medicine, 73//(9), 817-825. https://doi.org/10.1097/PSY.0b013e318234e628
Brotto, L.A., Basson, R., Carlson, M., & Zhu, C.C. (2013). Impact of an integrated mindfulness and cognitive behavioural treatment for provoked vestibulodynia (improved): A qualitative study. //Sexual and Relationship Therapy, 28//(1-2), 3-19. https://doi.org/10.1080/14681994.2012.686661
Hocaloski, S., Elliott, S., Brotto, L.A., Breckon, E., & McBride, K. (2016). A mindfulness psychoeducational group intervention targeting sexual adjustment for women with multiple sclerosis and spinal cord injury: A pilot study. //Sexuality and Disability, 34//(2), 183-198. https://doi.org/10.1007/s11195-016-9426-z
Irwin, R., & Pullen, C. (2017). Brief psychosexual therapy: Reflections on the provision of a time-limited therapy service in a sexual health clinic. //Sexual and Relationship Therapy, 32//(2), 131-145. https://doi.org/10.1080/14681994.2016.1237772
Rosenbaum, T.Y., Barnard, E., & Wilhite, M. (2015). Psychosexual aspects of vulvar disease. //Clinical Obstetrics and Gynecology, 58//(3), 551-555. https://doi.org/10.1097/GRF.0000000000000136
Nezhad, M.S., & Shameli, L. (2017). The effect of acceptance and commitment therapy on sexual satisfaction of couples in Shiraz. //International Journal of Medical Research & Health Sciences, 6//(1), 58-65. https://www.ijmrhs.com/medical-research/the-effect-of-acceptance-and-commitment-therapy-on-sexual-satisfaction-of-couples-in-shiraz.pdf
Shorey, R.C., Elmquist, J., Gawrysiak, M.J., Anderson, S., & Stuart, G.L. (2016). The relationship between mindfulness and compulsive sexual behavior in a sample of men in treatment for substance use disorders. //Mindfulness, 7//(4), 866-873. https://doi.org/10.1007/s12671-016-0525-9
Baker, A.C., & Absenger, W. (2013). Sexual Wellness Enhancement and Enrichment Training Program (SWEET): A hypothetical group model for addressing sexual health and wellbeing. //Sexual and Relationship Therapy, 28//(1-2), 48-62. https://doi.org/10.1080/14681994.2013.770142
Fink, S., Foran, K.A., Sweeney, A.C., & O'Hea, E.L. (2009). Sexual body esteem and mindfulness in college women. //Body Image, 6//(4), 326-329. https://doi.org/10.1016/j.bodyim.2009.07.003
Khaddouma, A., Gordon, K.C., & Bolden, J. (2015). Zen and the art of sex: Examining associations among mindfulness, sexual satisfaction, and relationship satisfaction in dating relationships. //Sexual and Relationship Therapy, 30//(2), 268-285. https://doi.org/10.1080/14681994.2014.992408
Spurgas, A.K. (2016). Low desire, trauma and femininity in the DSM-5: A case for sequelae. //Psychology & Sexuality, 7//(1), 48-67. https://doi.org/10.1080/19419899.2015.1024471
Weaver, A.D., & Byers, E.S. (2013). Eye of the beholder? Sociocultural factors in the body image and sexual well-being of heterosexual women. //International Journal of Sexual Health, 25//(2), 128-147. https://doi.org/10.1080/19317611.2012.737446
Byrne, G., Bogue, J., Egan, R., & Lonergan, E. (2016). Identifying and describing emotions: Measuring the effectiveness of a brief, alexithymia-specific, intervention for a sex offender population. //Sexual Abuse: A Journal of Research and Treatment, 28//(7), 599-619. https://doi.org/10.1177/1079063214558940
Krychman, M.L., & Katz, A. (2012). Breast cancer and sexuality: Multi-modal treatment options (CME). //Journal of Sexual Medicine, 9//(1), 5-13. https://doi.org/10.1111/j.1743-6109.2011.02566.x
Rummel, J., & Nied, L. (2017). Do drives drive the train of thought?-effects of hunger and sexual arousal on mind-wandering behavior. //Consciousness and Cognition, 55//, 179-187. https://doi.org/10.1016/j.concog.2017.08.013
Swanepoel, E.H., Beyers, C., & De Wet, L. (2017). Exploring judgement and internal bias of life orientation teachers in sexuality teaching. //The Journal for Transdisciplinary Research in Southern Africa, 13//(1), a405. https://doi.org/10.4102/td.v13i1.405
O'Mullan, C., Doherty, M., Coates, R., & Tilley, P.J.M. (2015). 'Accepting what is': An approach for managing the long-term sexual side effects of selective serotonin reuptake inhibitors (SSRIS) in women. //Sexual and Relationship Therapy, 30//(3), 325-337. https://doi.org/10.1080/14681994.2015.1032236
Kocsis, A., & Newbury-Helps, J. (2016). Mindfulness in sex therapy and intimate relationships (MSIR): Clinical protocol and theory development. //Mindfulness, 7//(3), 690-699. https://doi.org/10.1007/s12671-016-0506-z
Kimmes, J.G., Mallory, A.B., Cameron, C., & Kose, O. (2015). A treatment model for anxiety-related sexual dysfunctions using mindfulness meditation within a sex-positive framework. //Sexual and Relationship Therapy, 30//(2), 286-296. https://doi.org/10.1080/14681994.2015.1013023
[img[tps88.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Brauer, M., & Laamanen, T. (2014). Workforce downsizing and firm performance: An organizational routine perspective. //Journal of Management Studies, 51//(8), 1311-1333. https://doi.org/10.1111/joms.12074
Eastburn, R.W., & Boland, R.J. (2015). Inside banks' information and control systems: Post-decision surprise and corporate disruption. //Information and Organization, 25//(3), 160-190. https://doi.org/10.1016/j.infoandorg.2015.05.001
Ho, L.A. (2011). Meditation, learning, organizational innovation and performance. //Industrial Management & Data Systems, 111//(1), 113-131. https://doi.org/10.1108/02635571111099758
Wolf, M., Beck, R., & Pahlke, I. (2012). Mindfully resisting the bandwagon: Reconceptualising it innovation assimilation in highly turbulent environments. //Journal of Information Technology, 27//(3), 213-235. https://doi.org/10.1057/jit.2012.13
Provost, S.M., Lanham, H.J., Leykum, L.K., McDaniel, R.R., & Pugh, J. (2015). Health care huddles: Managing complexity to achieve high reliability. //Health Care Management Review, 40//(1), 2-12. https://doi.org/10.1097/HMR.0000000000000009
Williams, T.A., Gruber, D.A., Sutcliffe, K.M., Shepherd, D.A., & Zhao, E.Y.F. (2017). Organizational response to adversity: Fusing crisis management and resilience research streams. //Academy of Management Annals, 11//(2), 733-769. https://doi.org/10.5465/annals.2015.0134
Lofquist, E.A. (2010). The art of measuring nothing: The paradox of measuring safety in a changing civil aviation industry using traditional safety metrics. //Safety Science, 48//(10), 1520-1529. https://doi.org/10.1016/j.ssci.2010.05.006
DiGiorgio, K.E., Glass, C.R., & Arnkoff, D.B. (2010). Therapists' use of DBT: A Survey Study of Clinical Practice. //Cognitive and Behavioral Practice, 17//(2), 213-221. https://doi.org/10.1016/j.cbpra.2009.06.003
Eastburn, R.W., & Sharland, A. (2017). Risk management and managerial mindset. //Journal of Risk Finance, 18//(1), 21-47. https://doi.org/10.1108/JRF-09-2016-0114
Mu, E., Kirsch, L.J., & Butler, B.S. (2015). The assimilation of enterprise information system: An interpretation systems perspective. //Information & Management, 52//(3), 359-370. https://doi.org/10.1016/j.im.2015.01.004
Bucher, S., Jager, U.P., & Cardoza, G. (2016). Fundes: Becoming a strategically mindful nonprofit. //Journal of Business Research, 69//(10), 4489-4498. https://doi.org/10.1016/j.jbusres.2016.03.014
Feldman, M.S. (2003). A performative perspective on stability and change in organizational routines. //Industrial and Corporate Change, 12//(4), 727-752. https://doi.org/10.1093/icc/12.4.727
Vogus, T.J., & Sutcliffe, K.M. (2012). Organizational mindfulness and mindful organizing: A reconciliation and path forward. //Academy of Management Learning & Education, 11//(4), 722-735. https://doi.org/10.5465/amle.2011.0002
Lintern, G., & Kugler, P.N. (2017). Sociotechnical system safety: Hierarchical control versus mindfulness. //Systems Engineering, 20//(4), 307-317. https://doi.org/10.1002/sys.21396
Neacsiu, A.D., Rizvi, S.L., Vitaliano, P.P., Lynch, T.R., & Linehan, M.M. (2010). The dialectical behavior therapy ways of coping checklist: Development and psychometric properties. //Journal of Clinical Psychology, 66//(6), 563-582. https://doi.org/10.1002/jclp.20685
Nararro-Haro, M.V., Hoffman, H.G., Garcia-Palacios, A., Sampaio, M., Alhalabi, W., Hall, K., ... & Linehan, M. (2016). The use of virtual reality to facilitate mindfulness skills training in dialectical behavioral therapy for borderline personality disorder: A case study. //Frontiers in Psychology, 7//, 1573. https://doi.org/10.3389/fpsyg.2016.01573
Stepp, S.D., Epler, A.J., Jahng, S., & Trull, T.J. (2008). The effect of dialectical behavior therapy skills use on borderline personality disorder features. //Journal of Personality disorders, 22//(6), 549-563. https://doi.org/10.1521/pedi.2008.22.6.549
Mazdeh, M.M., & Hesamamiri, R. (2014). Knowledge management reliability and its impact on organizational performance an empirical study. //Program: Electronic Library and Information Systems, 48//(2), 102-126. https://doi.org/10.1108/PROG-01-2013-0001
Hernes, T., & Irgens, E.J. (2013). Keeping things mindfully on track: Organizational learning under continuity. //Management Learning, 44//(3), 253-266. https://doi.org/10.1177/1350507612445258
Rerup, C. (2009). Attentional triangulation: Learning from unexpected rare crises. //Organization Science, 20//(5), 876-893. https://doi.org/10.1287/orsc.1090.0467
Klein, A.S., Skinner, J.B., & Hawley, K.M. (2013). Targeting binge eating through components of dialectical behavior therapy: Preliminary outcomes for individually supported diary card self-monitoring versus group-based DBT. //Psychotherapy, 50//(4), 543-552. https://doi.org/10.1037/a0033130
Charoensukmongkol, P. (2017). Contributions of mindfulness during post-merger integration. //Journal of Managerial Psychology, 32//(1), 104-118. https://doi.org/10.1108/JMP-02-2016-0039
Edwards, M.T. (2017). An organizational learning framework for patient safety. //American Journal of Medical Quality, 32//(2), 148-155. https://doi.org/10.1177/1062860616632295
Salvato, C. (2009). Capabilities unveiled: The role of ordinary activities in the evolution of product development processes. //Organization Science, 20//(2), 384-409. https://doi.org/10.1287/orsc.1080.0408
Ocnarescu, I., & Bouchard, C. (2017). Memorable projects and aesthetic experiences in an industrial r&d lab. //Society and Business Review, 12//(3), 285-301. https://doi.org/10.1108/SBR-10-2016-0055
Fassbinder, E., Schweiger, U., Martius, D., Brand-de Wilde, O., & Arntz, A. (2016). Emotion regulation in schema therapy and dialectical behavior therapy. //Frontiers in Psychology, 7//, 1373. https://doi.org/10.3389/fpsyg.2016.01373
Hesamamiri, R., Mazdeh, M.M., & Jafari, M. (2013). Measuring the reliability of knowledge management instrument development and validation. //Aslib Proceedings, 65//(5), 484-502. https://doi.org/10.1108/AP-04-2013-0029
Kruse, S.D., & Johnson, B.L. (2017). Tempering the normative demands of professional learning communities with the organizational realities of life in schools: Exploring the cognitive dilemmas faced by educational leaders. //Educational Management Administration & Leadership, 45//(4), 588-604. https://doi.org/10.1177/1741143216636111
Lindenboim, N., Comtois, K.A., & Linehan, M.M. (2007). Skills practice in dialectical behavior therapy for suicidal women meeting criteria for borderline personality disorder. //Cognitive and Behavioral Practice, 14//(2), 147-156. https://doi.org/10.1016/j.cbpra.2006.10.004
Perseius, K.I., Kaver, A., Ekdahl, S., Asberg, M., & Samuelsson, M. (2007). Stress and burnout in psychiatric professionals when starting to use dialectical behavioural therapy in the work with young self-harming women showing borderline personality symptoms. //Journal of Psychiatric and Mental Health Nursing, 14//(7), 635-643. https://doi.org/10.1111/j.1365-2850.2007.01146.x
Turner, S.F., & Rindova, V. (2012). A balancing act: How organizations pursue consistency in routine functioning in the face of ongoing change. //Organization Science, 23//(1), 24-46. https://doi.org/10.1287/orsc.1110.0653
Egener, B., McDonald, W., Rosof, B., & Gullen, D. (2012). Perspective: Organizational professionalism. //Academic Medicine, 87//(5), 668-674. https://doi.org/10.1097/ACM.0b013e31824d4b67
Magnano, P., Platania, S., Ramaci, T., Santisi, G., & Di Nuovo, S. (2017). Validation of the Italian version of the mindfulness organizing scale (MOS) in organizational contexts. //TPM - Testing, Psychometrics, Methodology in Applied Psychology, 24//(1), 45-64. https://doi.org/10.4473/TPM24.1.3
Powley, E.H. (2009). Reclaiming resilience and safety: Resilience activation in the critical period of crisis. //Human Relations, 62//(9), 1289-1326. https://doi.org/10.1177/0018726709334881
Wilks, C.R., Valenstein-Mah, H., Tran, H., King, A.M.M., Lungu, A., & Linehan, M.M. (2017). Dialectical behavior therapy skills for families of individuals with behavioral disorders: Initial feasibility and outcomes. //Cognitive and Behavioral Practice, 24//(3), 288-295. https://doi.org/10.1016/j.cbpra.2016.06.004
Hutzschenreuter, T., Kleindienst, I., & Schmitt, M. (2014). How mindfulness and acquisition experience affect acquisition performance. //Management Decision, 52//(6), 1116-1147. https://doi.org/10.1108/MD-07-2013-0376
Pelser, H.J., Bosch, A., & Schurink, W. (2016). An organisational coherence model to maintain employee contributions during organisational crises. //SA Journal of Human Resource Management, 14//(1), a725. https://doi.org/10.4102/sajhrm.v14i1.725
Busby, J.S., & Collins, A.M. (2014). Organizational sensemaking about risk controls: The case of offshore hydrocarbons production. //Risk Analysis, 34//(9), 1738-1752. https://doi.org/10.1111/risa.12198
Neacsiu, A.D., Ward-Ciesielski, E.F., & Linehan, M.M. (2012). Emerging approaches to counseling intervention: Dialectical behavior therapy. //Counseling Psychologist, 40//(7), 1003-1032. https://doi.org/10.1177/0011000011421023
Gomez, J., Hoffman, H.G., Bistricky, S.L., Gonzalez, M., Rosenberg, L., Sampaio, M., ... & Linehan, M.M. (2017). The use of virtual reality facilitates dialectical behavior therapy (r) "observing sounds and visuals" mindfulness skills training exercises for a Latino patient with severe burns: A case study. //Frontiers in Psychology, 8//, 1611. https://doi.org/10.3389/fpsyg.2017.01611
Fuller, R.P. (2016). The big breach: An experiential learning exercise in mindful crisis communication. //Communication Teacher, 30//(1), 27-32. https://doi.org/10.1080/17404622.2015.1102306
Avey, J.B., Wernsing, T.S., & Luthans, F. (2008). Can positive employees help positive organizational change? Impact of psychological capital and emotions on relevant attitudes and behaviors. //Journal of Applied Behavioral Science, 44//(1), 48-70. https://doi.org/10.1177/0021886307311470
Brockner, J., & Wiesenfeld, B.M. (2016). Self-as-object and self-as-subject in the workplace. //Organizational Behavior and Human Decision Processes, 136//, 36-46. https://doi.org/10.1016/j.obhdp.2016.06.005
Austin, J.H. (2012). Meditating selflessly at the dawn of a new millennium. //Contemporary Buddhism, 13//(1), 61-81. https://doi.org/10.1080/14639947.2012.669276
Wheelis, J. (2010). Mending the mind. //Psychoanalytic Dialogues, 20//(3), 325-336. https://doi.org/10.1080/10481885.2010.483958
Hunter, J., & Tang, W.M. (2009). Integrative mental health. //Journal of Complementary Medicine, 8//(5), 20-22.
Plambeck, N., & Weber, K. (2010). When the glass is half full and half empty: CEOS' ambivalent interpretations of strategic issues. //Strategic Management Journal, 31//(7), 689-710. https://doi.org/10.1002/smj.835
Chiva, R., & Habib, J. (2015). A framework for organizational learning: Zero, adaptive and generative learning. //Journal of Management & organization, 21//(3), 350-368. https://doi.org/10.1017/jmo.2014.88
Weaver, R.R. (2015). Seeking high reliability in primary care leadership, tools, and organization. //Health Care Management Review, 40//(3), 183-192. https://doi.org/10.1097/HMR.0000000000000022
Godkin, L., & Allcorn, S. (2011). Organizational resistance to destructive narcissistic behavior. //Journal of Business Ethics, 104//(4), 559-570. https://doi.org/10.1007/s10551-011-0930-x
Cottingham, A.H., Suchman, A.L., Litzelman, D.K., Frankel, R.M., Mossbarger, D.L., Williamson, P.R., ... & Inui, T.S. (2008). Enhancing the informal curriculum of a medical school: A case study in organizational culture change. //Journal of General Internal Medicine, 23//(6), 715-722. https://doi.org/10.1007/s11606-008-0543-y
Aanestad, M., & Jensen, T.B. (2016). Collective mindfulness in post-implementation is adaptation processes. //Information and Organization, 26//(1-2), 13-27. https://doi.org/10.1016/j.infoandorg.2016.02.001
O'Toole, S.K., Diddy, E., & Kent, M. (2012). Mindfulness and emotional well-being in women with borderline personality disorder. //Mindfulness, 3//(2), 117-123. https://doi.org/10.1007/s12671-011-0085-y
Fleming, A.P., McMahon, R.J., Moran, L.R., Peterson, A.P., & Dreessen, A. (2015). Pilot randomized controlled trial of dialectical behavior therapy group skills training for adhd among college students. //Journal of Attention Disorders, 19//(3), 260-271. https://doi.org/10.1177/1087054714535951
Reb, J., Narayanan, J., & Ho, Z.W. (2015). Mindfulness at work: Antecedents and consequences of employee awareness and absent-mindedness. //Mindfulness, 6//(1), 111-122. https://doi.org/10.1007/s12671-013-0236-4
Christensen, D.R., Dowling, N.A., Jackson, A.C., Brown, M., Russo, J., Francis, K.L., ... & Umemoto, A. (2013). A proof of concept for using brief dialectical behavior therapy as a treatment for problem gambling. //Behaviour Change, 30//(2), 117-137. https://doi.org/10.1017/bec.2013.10
Lichtman, C. (2012). The mind of a leaderless organization. //Psychoanalytic Inquiry, 32//(4), 412-423. https://doi.org/10.1080/07351690.2011.609396
Thomas, T., Schermerhorn, J.R., & Dienhart, J.W. (2004). Strategic leadership of ethical behavior in business. //Academy of Management Executive, 18//(2), 56-66. https://doi.org/10.5465/ame.2004.13837425
Emran, S.A.N. (2015). An intellectual virtue "vaccination" for physician-pharmaceutical industry interactions. //Academic Medicine, 90//(1), 30-32. https://doi.org/10.1097/ACM.0000000000000525
Perroud, N., Nicastro, R., Jermann, F., & Huguelet, P. (2012). Mindfulness skills in borderline personality disorder patients during dialectical behavior therapy: Preliminary results. //International Journal of Psychiatry in Clinical Practice, 16//(3), 189-196. https://doi.org/10.3109/13651501.2012.674531
Reb, J., Narayanan, J., Chaturvedi, S., & Ekkirala, S. (2017). The mediating role of emotional exhaustion in the relationship of mindfulness with turnover intentions and job performance. //Mindfulness, 8//(3), 707-716. https://doi.org/10.1007/s12671-016-0648-z
Barton, M.A., & Sutcliffe, K.M. (2009). Overcoming dysfunctional momentum: Organizational safety as a social achievement. //Human Relations, 62//(9), 1327-1356. https://doi.org/10.1177/0018726709334491
Miller, A.L., Wyman, S.E., Huppert, J.D., Glassman, S.L., & Rathus, J.H. (2000). Analysis of behavioral skills utilized by suicidal adolescents receiving dialectical behavior therapy. //Cognitive and Behavioral Practice, 7//(2), 183-187. https://doi.org/10.1016/S1077-7229(00)80029-2
Van Dijk, S., Jeffrey, J., & Katz, M.R. (2013). A randomized, controlled, pilot study of dialectical behavior therapy skills in a psychoeducational group for individuals with bipolar disorder. //Journal of Affective Disorders, 145//(3), 386-393. https://doi.org/10.1016/j.jad.2012.05.054
Kanov, J.M., Maitlis, S., Worline, M.C., Dutton, J.E., Frost, P.J., & Lilius, J.M. (2004). Compassion in organizational life. //American Behavioral Scientist, 47//(6), 808-827. https://doi.org/10.1177/0002764203260211
Hill, D.M., Craighead, L.W., & Safer, D.L. (2011). Appetite-focused dialectical behavior therapy for the treatment of binge eating with purging: A preliminary trial. //International Journal of Eating Disorders, 44//(3), 249-261. https://doi.org/10.1002/eat.20812
Hyland, P.K., Lee, R.A., & Mills, M.J. (2015). Mindfulness at work: A new approach to improving individual and organizational performance. //Industrial and Organizational Psychology-perspectives on Science and Practice, 8//(4), 576-602. https://doi.org/10.1017/iop.2015.41
Barry, D., & Meisiek, S. (2010). Seeing more and seeing differently: Sensemaking, mindfulness, and the workarts. //Organization Studies, 31//(11), 1505-1530. https://doi.org/10.1177/0170840610380802
Plambeck, N., & Weber, K. (2009). CEO ambivalence and responses to strategic issues. //Organization Science, 20//(6), 993-1010. https://doi.org/10.1287/orsc.1090.0471
Valentine, S., Godkin, L., & Varca, P.E. (2010). Role conflict, mindfulness, and organizational ethics in an education-based healthcare institution. //Journal of Business Ethics, 94//(3), 455-469. https://doi.org/10.1007/s10551-009-0276-9
Dixon-Gordon, K.L., Chapman, A.L., & Turner, B.J. (2015). A preliminary pilot study comparing dialectical behavior therapy emotion regulation skills with interpersonal effectiveness skills and a control group treatment. //Journal of Experimental Psychopathology, 6//(4), 369-388. https://doi.org/10.5127/jep.041714
Oliver, N., Calvard, T., & Potocnik, K. (2017). Cognition, technology, and organizational limits: Lessons from the air France 447 disaster. //Organization Science, 28//(4), 729-743. https://doi.org/10.1287/orsc.2017.1138
Eide, T., van Dulmen, S., & Eide, H. (2016). Educating for ethical leadership through web-based coaching: A feasibility study. //Nursing Ethics, 23//(8), 851-865. https://doi.org/10.1177/0969733015584399
Hackel, B., Lindermeir, A., Moser, F., & Pfosser, S. (2017). Mindful engagement in emerging it innovations - A dynamic optimization model considering organizational learning in it innovation investment evaluation. //Data Base for Advances in Information Systems, 48//(1), 53-74. https://doi.org/10.1145/3051473.3051477
Eisner, L., Eddie, D., Harley, R., Jacobo, M., Nierenberg, A.A., & Deckersbach, T. (2017). Dialectical behavior therapy group skills training for bipolar disorder. //Behavior Therapy, 48//(4), 557-566. https://doi.org/10.1016/j.beth.2016.12.006
Fiol, C.M., & O'Connor, E.J. (2003). Waking up! Mindfulness in the face of bandwagons. //Academy of Management Review, 28//(1), 54-70. https://doi.org/10.2307/30040689
Eisenberg, D.M., Kaptchuk, T.J., Post, D.E., Hrbek, A.L., O'Connor, B.B., Osypiuk, K., ... & Levy, D.B. (2016). Establishing an integrative medicine program within an academic health center: Essential considerations. //Academic Medicine, 91//(9), 1223-1230. https://doi.org/10.1097/ACM.0000000000001173
Chandler, D., & Hwang, H. (2015). Learning from learning theory: A model of organizational adoption strategies at the microfoundations of institutional theory. //Journal of Management, 41//(5), 1446-1476. https://doi.org/10.1177/0149206315572698
Ramaci, T., Pellerone, M., Ledda, C., & Rapisarda, V. (2017). Health promotion, psychological distress, and disease prevention in the workplace: A cross-sectional study of Italian adults. //Risk Management and Healthcare Policy, 10//, 167-175. https://doi.org/10.2147/RMHP.S139756
Ritschel, L.A., Cheavens, J.S., & Nelson, J. (2012). Dialectical behavior therapy in an intensive outpatient program with a mixed-diagnostic sample. //Journal of Clinical Psychology, 68//(3), 221-235. https://doi.org/10.1002/jclp.20863
Keeman, A., Naswall, K., Malinen, S., & Kuntz, J. (2017). Employee wellbeing: Evaluating a wellbeing intervention in two settings. //Frontiers in Psychology, 8//, 505. https://doi.org/10.3389/fpsyg.2017.00505
Essen, A., & Conrick, M. (2008). New e-service development in the homecare sector: Beyond implementing a radical technology. //International Journal of Medical Informatics, 77//(10), 679-688. https://doi.org/10.1016/j.ijmedinf.2008.02.001
Fruzzetti, A.E., & Levensky, E.R. (2000). Dialectical behavior therapy for domestic violence: Rationale and procedures. //Cognitive and Behavioral Practice, 7//(4), 435-477. https://doi.org/10.1016/S1077-7229(00)80055-3
Kohrt, B.K., Lincoln, T.M., & Brambila, A.D. (2017). Embedding DBT skills training within a transactional-ecological framework to reduce suicidality in a Navajo adolescent female. //Clinical Case Studies, 16//(1), 76-92. https://doi.org/10.1177/1534650116668271
Lofquist, E.A., Greve, A., & Olsson, U.H. (2011). Modeling attitudes and perceptions as predictors for changing safety margins during organizational change. //Safety Science, 49//(3), 531-541. https://doi.org/10.1016/j.ssci.2010.11.007
Novak, J.M., & Sellnow, T.L. (2009). Reducing organizational risk through participatory communication. //Journal of Applied Communication Research, 37//(4), 349-373. https://doi.org/10.1080/00909880903233168
[img[tps89.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Canlas, J.M., Miller, R.B., Busby, D.M., & Carroll, J.S. (2015). Same-race and interracial Asian-white couples: Relational and social contexts and relationship outcomes. //Journal of Comparative Family Studies, 46//(3), 307-328.
Williams, A.M., & Cano, A. (2014). Spousal mindfulness and social support in couples with chronic pain. //Clinical Journal of Pain, 30//(6), 528-535. https://doi.org/10.1097/AJP.0000000000000009
Khaddouma, A., Gordon, K.C., & Strand, E.B. (2017). Mindful mates: A pilot study of the relational effects of mindfulness-based stress reduction on participants and their partners. //Family Process, 56//(3), 636-651. https://doi.org/10.1111/famp.12226
Pakenham, K.I., & Samios, C. (2013). Couples coping with multiple sclerosis: A dyadic perspective on the roles of mindfulness and acceptance. //Journal of Behavioral Medicine, 36//(4), 389-400. https://doi.org/10.1007/s10865-012-9434-0
van den Hurk, D.G.M., Schellekens, M.P.J., Molema, J., Speckens, A.E.M., & van der Drift, M.A. (2015). Mindfulness-based stress reduction for lung cancer patients and their partners: Results of a mixed methods pilot study. //Palliative Medicine, 29//(7), 652-660. https://doi.org/10.1177/0269216315572720
Schellekens, M.P.J., Karremans, J.C., van der Drift, M.A., Molema, J., van den Hurk, D.G.M., Prins, J.B., ... & Speckens, A.E.M. (2017). Are mindfulness and self-compassion related to psychological distress and communication in couples facing lung cancer? A dyadic approach. //Mindfulness, 8//(2), 325-336. https://doi.org/10.1007/s12671-016-0602-0
Peterson, B.D., Eifert, G.H., Feingold, T., & Davidson, S. (2009). Using acceptance and commitment therapy to treat distressed couples: A case study with two couples. //Cognitive and Behavioral Practice, 16//(4), 430-442. https://doi.org/10.1016/j.cbpra.2008.12.009
Briggs, J.G., Finley, M.A., & Sprenkle, D.H. (2015). A substantive and methodological review of the integrative behavioral couple therapy research program: Clinical implications for a research informed practice. //Journal of Couple & Relationship Therapy-innovations in Clinical and Educational Interventions, 14//(3), 219-253. https://doi.org/10.1080/15332691.2014.959229
Hsiao, F.H., Jow, G.M., Kuo, W.H., Yang, P.S., Lam, H.B., Chang, K.J., ... & Chang, C.H. (2016). The long-term effects of mindfulness added to family resilience-oriented couples support group on psychological well-being and cortisol responses in breast cancer survivors and their partners. //Mindfulness, 7//(6), 1365-1376. https://doi.org/10.1007/s12671-016-0578-9
Gillespie, B., Davey, M.P., & Flemke, K. (2015). Intimate partners' perspectives on the relational effects of mindfulness-based stress reduction training: A qualitative research study. //Contemporary Family Therapy, 37//(4), 396-407. https://doi.org/10.1007/s10591-015-9350-x
Miller-Matero, L.R., & Cano, A. (2015). Encouraging couples to change: A motivational assessment to promote well-being in people with chronic pain and their partners. //Pain Medicine, 16//(2), 348-355. https://doi.org/10.1111/pme.12600
Laurent, H.K., Hertz, R., Nelson, B., & Laurent, S.M. (2016). Mindfulness during romantic conflict moderates the impact of negative partner behaviors on cortisol responses. //Hormones and Behavior, 79//, 45-51. https://doi.org/10.1016/j.yhbeh.2016.01.005
Wachs, K., & Cordova, J.V. (2007). Mindful relating: Exploring mindfulness and emotion repertoires in intimate relationships. //Journal of Marital and Family Therapy, 33//(4), 464-481. https://doi.org/10.1111/j.1752-0606.2007.00032.x
Schellekens, M.P.J., van den Hurk, D.G.M., Prins, J.B., Molema, J., Donders, A.R.T., Woertman, W.H., ... & Speckens, A.E.M. (2014). Study protocol of a randomized controlled trial comparing mindfulness-based stress reduction with treatment as usual in reducing psychological distress in patients with lung cancer and their partners: The milon study. //BMC Cancer, 14//, 3. https://doi.org/10.1186/1471-2407-14-3
Birnie, K., Garland, S.N., & Carlson, L.E. (2010). Psychological benefits for cancer patients and their partners participating in mindfulness-based stress reduction (MBSR). //Psycho-Oncology, 19//(9), 1004-1009. https://doi.org/10.1002/pon.1651
Carson, J.W., Carson, K.M., Gil, K.M., & Baucom, D.H. (2007). Self-expansion as a mediator of relationship improvements in a mindfulness intervention. //Journal of Marital and Family Therapy, 33//(4), 517-528. https://doi.org/10.1111/j.1752-0606.2007.00035.x
Kahn, J.R., Collinge, W., & Soltysik, R. (2016). Post-9/11 veterans and their partners improve mental health outcomes with a self-directed mobile and web-based wellness training program: A randomized controlled trial. //Journal of Medical Internet Research, 18//(9), e255. https://doi.org/10.2196/jmir.5800
Lee, E.J. (2005). When placebic information differs from real information - Cognitive and motivational bases of mindful reactions to informational social influence. //Communication Research, 32//(5), 615-645. https://doi.org/10.1177/0093650205279351
Burpee, L.C., & Langer, E.J. (2005). Mindfulness and marital satisfaction. //Journal of Adult Development, 12//(1), 43-51. https://doi.org/10.1007/s10804-005-1281-6
Siegel, J.P. (2014). The mindful couple. //Clinical Social Work Journal, 42//(3), 282-287. https://doi.org/10.1007/s10615-014-0489-y
Lannin, D.G., Bittner, K.E., & Lorenz, F.O. (2013). Longitudinal effect of defensive denial on relationship instability. //Journal of Family Psychology, 27//(6), 968-977. https://doi.org/10.1037/a0034694
Karremansi, J.C., Schellekens, M.P.J., & Kappen, G. (2017). Bridging the sciences of mindfulness and romantic relationships: A theoretical model and research agenda. //Personality and Social Psychology Review, 21//(1), 29-49. https://doi.org/10.1177/1088868315615450
Nezhad, M.S., & Shameli, L. (2017). The effect of acceptance and commitment therapy on sexual satisfaction of couples in Shiraz. //International Journal of Medical Research & Health Sciences, 6//(1), 58-65. https://www.ijmrhs.com/medical-research/the-effect-of-acceptance-and-commitment-therapy-on-sexual-satisfaction-of-couples-in-shiraz.pdf
Fishbane, M.D. (2011). Facilitating relational empowerment in couple therapy. //Family Process, 50//(3), 337-352. https://doi.org/10.1111/j.1545-5300.2011.01364.x
Janz, P., Pepping, C.A., & Halford, W.K. (2015). Individual differences in dispositional mindfulness and initial romantic attraction: A speed dating experiment. //Personality and Individual Differences, 82//, 14-19. https://doi.org/10.1016/j.paid.2015.02.025
Laurent, H., Laurent, S., Hertz, R., Egan-Wright, D., & Granger, D.A. (2013). Sex-specific effects of mindfulness on romantic partners' cortisol responses to conflict and relations with psychological adjustment. //Psychoneuroendocrinology, 38//(12), 2905-2913. https://doi.org/10.1016/j.psyneuen.2013.07.018
Lehto, R.H., & Wyatt, G. (2013). Perceptions about using mindfulness therapy a lung cancer focus group study. //Cancer Nursing, 36//(4), E51-E60. https://doi.org/10.1097/NCC.0b013e31826d2f16
Klein, S.R., Renshaw, K.D., & Curby, T.W. (2016). Emotion regulation and perceptions of hostile and constructive criticism in romantic relationships. //Behavior Therapy, 47//(2), 143-154. https://doi.org/10.1016/j.beth.2015.10.007
Neff, K.D., & Beretvas, S.N. (2013). The role of self-compassion in romantic relationships. //Self and Identity, 12//(1), 78-98. https://doi.org/10.1080/15298868.2011.639548
Laurent, H.K., Laurent, S.M., Lightcap, A., & Nelson, B.W. (2016). How situational mindfulness during conflict stress relates to well-being. //Mindfulness, 7//(4), 909-915. https://doi.org/10.1007/s12671-016-0529-5
Gambrel, L.E., & Piercy, F.P. (2015). Mindfulness-based relationship education for couples expecting their first child-part 1: A randomized mixed-methods program evaluation. //Journal of Marital and Family Therapy, 41//(1), 5-24. https://doi.org/10.1111/jmft.12066
Laurent, H.K., Laurent, S.M., Nelson, B., Wright, D.B., & Sanchez, M.A.D. (2015). Dispositional mindfulness moderates the effect of a brief mindfulness induction on physiological stress responses. //Mindfulness, 6//(5), 1192-1200. https://doi.org/10.1007/s12671-014-0377-0
Karris, M., & Caldwell, B.E. (2015). Integrating emotionally focused therapy, self-compassion, and compassion-focused therapy to assist shame-prone couples who have experienced trauma. //Family Journal, 23//(4), 346-357. https://doi.org/10.1177/1066480715601676
Pbert, L., Madison, J.M., Druker, S., Olendzki, N., Magner, R., Reed, G., ... & Carmody, J. (2012). Effect of mindfulness training on asthma quality of life and lung function: A randomised controlled trial. //Thorax, 67//(9), 769-776. https://doi.org/10.1136/thoraxjnl-2011-200253
Lenger, K.A., Gordon, C.L., & Nguyen, S.P. (2017). Intra-individual and cross-partner associations between the five facets of mindfulness and relationship satisfaction. //Mindfulness, 8//(1), 171-180. https://doi.org/10.1007/s12671-016-0590-0
Quaglia, J.T., Goodman, R.J., & Brown, K.W. (2015). From mindful attention to social connection: The key role of emotion regulation. //Cognition & Emotion, 29//(8), 1466-1474. https://doi.org/10.1080/02699931.2014.988124
Burnside, L.D., Knecht, M.J., Hopley, E.K., & Logsdon, R.G. (2017). here:now - conceptual model of the impact of an experiential arts program on persons with dementia and their care partners. //Dementia: The International Journal of Social Research and Practice, 16//(1), 29-45. https://doi.org/10.1177/1471301215577220
Gambrel, L.E., & Piercy, F.P. (2015). Mindfulness-based relationship education for couples expecting their first child-part 2: Phenomenological findings. //Journal of Marital and Family Therapy, 41//(1), 25-41. https://doi.org/10.1111/jmft.12065
Wong, C.W.Y., Lai, K.H., & Teo, T.S.H. (2009). Institutional pressures and mindful it management: The case of a container terminal in china. //Information & Management, 46//(8), 434-441. https://doi.org/10.1016/j.im.2009.08.004
Ghorbani, N., Watson, P.J., Fayyaz, F., & Chen, Z. (2015). Integrative self-knowledge and marital satisfaction. //Journal of Psychology, 149//(1), 1-18. https://doi.org/10.1080/00223980.2013.827614
Kimmes, J.G., Durtschi, J.A., & Fincham, F.D. (2017). Perception in romantic relationships: A latent profile analysis of trait mindfulness in relation to attachment and attributions. //Mindfulness, 8//(5), 1328-1338. https://doi.org/10.1007/s12671-017-0708-z
Masrour, M.J., Aerabsheybani, H., Ramezani, N., & Aerabsheybani, K. (2017). The effectiveness of mindfulness-based cognitive therapy (mbct) in increasing infertile couples' resilience and reducing anxiety, stress, and depression. //Neuroquantology, 15//(3), 94-100. https://doi.org/10.14704/nq.2017.15.3.1088
Lord, S.A. (2017). Mindfulness and spirituality in couple therapy: The use of meditative dialogue to help couples develop compassion and empathy for themselves and each other. //Australian and New Zealand Journal of Family Therapy, 38//(1), 98-114. https://doi.org/10.1002/anzf.1201
Gambrel, L.E., Faas, C., Kaestle, C.E., & Savla, J. (2016). Interpersonal neurobiology and couple relationship quality: A longitudinal model. //Contemporary Family Therapy, 38//(3), 272-283. https://doi.org/10.1007/s10591-016-9381-y
Hertz, R.M., Laurent, H.K., & Laurent, S.M. (2015). Attachment mediates effects of trait mindfulness on stress responses to conflict. //Mindfulness, 6//(3), 483-489. https://doi.org/10.1007/s12671-014-0281-7
Bluth, K., Roberson, P.N.E., Billen, R.M., & Sams, J.M. (2013). A stress model for couples parenting children with autism spectrum disorders and the introduction of a mindfulness intervention. //Journal of Family Theory & Review, 5//(3), 194-213. https://doi.org/10.1111/jftr.12015
Smith, T.E., Richards, K.V., & Shelton, V.M. (2016). The language of money. //Journal of Human Behavior in the Social Environment, 26//(2), 202-209. https://doi.org/10.1080/10911359.2015.1083503
Zarling, A., & Berta, M. (2017). An acceptance and commitment therapy approach for partner aggression. //Partner Abuse, 8//(1), 89-109. https://doi.org/10.1891/1946-6560.8.1.89
Johns, K.N., Allen, E.S., & Gordon, K.C. (2015). The relationship between mindfulness and forgiveness of infidelity. //Mindfulness, 6//(6), 1462-1471. https://doi.org/10.1007/s12671-015-0427-2
Benotsch, E.G., Sawyer, A.N., Martin, A.M., Allen, E.S., Nettles, C.D., Richardson, D., ... & Rietmeijer, C.A. (2017). Dependency traits, relationship power, and health risks in women receiving sexually-transmitted infection clinic services. //Behavioral Medicine, 43//(3), 176-183. https://doi.org/10.1080/08964289.2017.1297291
[img[tps9.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
McKeith, C.F.A., Rock, A.J., & Clark, G.I. (2017). Trait mindfulness, problem-gambling severity, altered state of awareness and urge to gamble in poker-machine gamblers. //Journal of Gambling Studies, 33//(2), 617-632. https://doi.org/10.1007/s10899-016-9635-5
Shonin, E., Van Gordon, W., & Griffiths, M.D. (2013). Buddhist philosophy for the treatment of problem gambling. //Journal of Behavioral Addictions, 2//(2), 63-71. https://doi.org/10.1556/JBA.2.2013.001
Crescentini, C., Urgesi, C., Campanella, F., Eleopra, R., & Fabbro, F. (2014). Effects of an 8-week meditation program on the implicit and explicit attitudes toward religious/spiritual self-representations. //Consciousness and Cognition, 30//, 266-280. https://doi.org/10.1016/j.concog.2014.09.013
Pinniger, R., Brown, R.F., Thorsteinsson, E.B., & McKinley, P. (2012). Argentine tango dance compared to mindfulness meditation and a waiting-list control: A randomised trial for treating depression. //Complementary Therapies in Medicine, 20//(6), 377-384. https://doi.org/10.1016/j.ctim.2012.07.003
Nicholson, E., Hopkins-Doyle, A., Barnes-Holmes, D., & Roche, R.A.P. (2014). Psychopathology, anxiety or attentional control: Determining the variables which predict IRAP performance. //Psychological Record, 64//(2), 179-188. https://doi.org/10.1007/s40732-014-0020-4
Lakey, C.E., Campbell, W.K., Brown, K.W., & Goodie, A.S. (2007). Dispositional mindfulness as a predictor of the severity of gambling outcomes. //Personality and Individual Differences, 43//(7), 1698-1710. https://doi.org/10.1016/j.paid.2007.05.007
Keng, S.L., Seah, S.T.H., Tong, E.M.W., & Smoski, M. (2016). Effects of brief mindful acceptance induction on implicit dysfunctional attitudes and concordance between implicit and explicit dysfunctional attitudes. //Behaviour Research and Therapy, 83//, 1-10. https://doi.org/10.1016/j.brat.2016.05.004
Loo, J.M.Y., Tsai, J.S., Raylu, N., & Oei, T.P.S. (2014). Gratitude, hope, mindfulness and personal-growth initiative: Buffers or risk factors for problem gambling?. //PLOS ONE, 9//(2). https://doi.org/10.1371/journal.pone.0083889
Koole, S.L., & Rothermund, K. (2011). I feel better but i don't know why: The psychology of implicit emotion regulation. //Cognition & Emotion, 25//(3), 389-399. https://doi.org/10.1080/02699931.2010.550505
Aaltola, E. (2015). Wilderness experiences as ethics: From elevation to attentiveness. //Ethics Policy & Environment, 18//(3), 283-300. https://doi.org/10.1080/21550085.2015.1111614
Muro, A., & Artero, N. (2017). Dance practice and well-being correlates in young women. //Women & Health, 57//(10), 1193-1203. https://doi.org/10.1080/03630242.2016.1243607
Levin, M.E., Haeger, J., & Smith, G.S. (2017). Examining the role of implicit emotional judgments in social anxiety and experiential avoidance. //Journal of Psychopathology and Behavioral Assessment, 39//(2), 264-278. https://doi.org/10.1007/s10862-016-9583-5
Remmers, C., Topolinski, S., & Koole, S.L. (2016). Why being mindful may have more benefits than you realize: Mindfulness improves both explicit and implicit mood regulation. //Mindfulness, 7//(4), 829-837. https://doi.org/10.1007/s12671-016-0520-1
Riley, B. (2014). Experiential avoidance mediates the association between thought suppression and mindfulness with problem gambling. //Journal of Gambling Studies, 30//(1), 163-171. https://doi.org/10.1007/s10899-012-9342-9
de Lisle, S., Dowling, N., & Allen, J. (2014). Mechanisms of action in the relationship between mindfulness and problem gambling behaviour. //International Journal of Mental Health and Addiction, 12//(2), 206-225. https://doi.org/10.1007/s11469-014-9475-4
Toneatto, T., Pillai, S., & Courtice, E. (2014). Mindfulness-enhanced cognitive behavior therapy for problem gambling: A controlled pilot study. //International Journal of Mental Health and Addiction, 12//(2), 197-205. https://doi.org/10.1007/s11469-014-9481-6
Marich, J., & Howell, T. (2015). Dancing mindfulness: A phenomenological investigation of the emerging practice. //Explore: The Journal of Science and Healing, 11//(5), 346-356. https://doi.org/10.1016/j.explore.2015.07.001
Burgess, D.J., Beach, M.C., & Saha, S. (2017). Mindfulness practice: A promising approach to reducing the effects of clinician implicit bias on patients. //Patient Education and Counseling, 100//(2), 372-376. https://doi.org/10.1016/j.pec.2016.09.005
Levesque, C., & Brown, K.W. (2007). Mindfulness as a moderator of the effect of implicit motivational self-concept on day-to-day behavioral motivation. //Motivation and Emotion, 31//(4), 284-299. https://doi.org/10.1007/s11031-007-9075-8
Shonin, E., Van Gordon, W., & Griffiths, M. (2014). Cognitive behavioral therapy (CBT) and meditation awareness training (MAT) for the treatment of co-occurring schizophrenia and pathological gambling: A case study. //International Journal of Mental Health and Addiction, 12//(2), 181-196. https://doi.org/10.1007/s11469-013-9460-3
Christensen, D.R., Dowling, N.A., Jackson, A.C., Brown, M., Russo, J., Francis, K.L., ... & Umemoto, A. (2013). A proof of concept for using brief dialectical behavior therapy as a treatment for problem gambling. //Behaviour Change, 30//(2), 117-137. https://doi.org/10.1017/bec.2013.10
Kelly, A., & Barnes-Holmes, D. (2013). Implicit attitudes towards children with autism versus normally developing children as predictors of professional burnout and psychopathology. //Research in Developmental Disabilities, 34//(1), 17-28. https://doi.org/10.1016/j.ridd.2012.07.018
Lueke, A., & Gibson, B. (2015). Mindfulness meditation reduces implicit age and race bias: The role of reduced automaticity of responding. //Social Psychological and Personality Science, 6//(3), 284-291. https://doi.org/10.1177/1948550614559651
McPherson, A., & Harris, L.M. (2015). Mindfulness, explicit and implicit alcohol expectancies in alcohol dependent and non-alcohol dependent adults. //International Journal of Mental Health and Addiction, 13//(4), 457-469. https://doi.org/10.1007/s11469-014-9538-6
Bergeron, C.M., & Dandeneau, S. (2016). Implicitly activating mindfulness promotes positive responses following an ego threat. //Journal of Social and Clinical Psychology, 35//(7), 551-570. https://doi.org/10.1521/jscp.2016.35.7.551
Bergeron, C.M., Almgren-Dore, I., & Dandeneau, S. (2016). Letting go (implicitly): Priming mindfulness mitigates the effects of a moderate social stressor. //Frontiers in Psychology, 7//,872. https://doi.org/10.3389/fpsyg.2016.00872
Stillman, C.M., You, X.Z., Seaman, K.L., Vaidya, C.J., Howard, J.H., & Howard, D.V. (2016). Task-related functional connectivity of the caudate mediates the association between trait mindfulness and implicit learning in older adults. //Cognitive Affective & Behavioral Neuroscience, 16//(4), 736-753. https://doi.org/10.3758/s13415-016-0427-2
Strick, M., & Papies, E.K. (2017). A brief mindfulness exercise promotes the correspondence between the implicit affiliation motive and goal setting. //Personality and Social Psychology Bulletin, 43//(5), 623-637. https://doi.org/10.1177/0146167217693611
Koole, S.L., Govorun, O., Cheng, C.M., & Gallucci, M. (2009). Pulling yourself together: Meditation promotes congruence between implicit and explicit self-esteem. //Journal of Experimental Social Psychology, 45//(6), 1220-1226. https://doi.org/10.1016/j.jesp.2009.05.018
Kang, Y., Gray, J.R., & Dovidio, J.F. (2014). The nondiscriminating heart: Lovingkindness meditation training decreases implicit intergroup bias. //Journal of Experimental Psychology: General, 143//(3), 1306-1313. https://doi.org/10.1037/a0034150
Stillman, C.M., Feldman, H., Wambach, C.G., Howard, J.H., & Howard, D.V. (2014). Dispositional mindfulness is associated with reduced implicit learning. //Consciousness and Cognition, 28//, 141-150. https://doi.org/10.1016/j.concog.2014.07.002
Schutze, R., Slater, H., O'Sullivan, P., Thornton, J., Finlay-Jones, A., & Rees, C.S. (2014). Mindfulness-based functional therapy: A preliminary open trial of an integrated model of care for people with persistent low back pain. //Frontiers in Psychology, 5//,839. https://doi.org/10.3389/fpsyg.2014.00839
Teasdale, J.D., & Chaskalson, M. (2011). How does mindfulness transform suffering? II: The transformation of //dukkha//. //Contemporary Buddhism, 12//(1), 103-124. https://doi.org/10.1080/14639947.2011.564826
Brody, L.R., & Park, S.H. (2004). Narratives, mindfulness, and the implicit audience. //Clinical Psychology-science and Practice, 11//(2), 147-154. https://doi.org/10.1093/clipsy/bph065
Dixon, M.R., Wilson, A.N., & Habib, R. (2016). Neurological evidence of acceptance and commitment therapy effectiveness in college-age gamblers. //Journal of Contextual Behavioral Science, 5//(2), 80-88. https://doi.org/10.1016/j.jcbs.2016.04.004
[img[tps90.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kowalski, R.M., Allison, B., Giumetti, G.W., Turner, J., Whittaker, E., Frazee, L., ... & Stephens, J. (2014). Pet peeves and happiness: How do happy people complain?. //Journal of Social Psychology, 154//(4), 278-282. https://doi.org/10.1080/00224545.2014.906380
Ariyabuddhiphongs, V., & Jaiwong, D. (2010). Observance of the Buddhist five precepts, subjective wealth, and happiness among buddhists in bangkok, thailand. //Archive for the Psychology of Religion-archiv Fur Religionspsychologie, 32//(3), 327-344. https://doi.org/10.1163/157361210X533274
Huang, P.H. (2010). Happiness studies and legal policy. //Annual Review of Law and Social Science, Vol 6, 6//, 405-432. https://doi.org/10.1146/annurev-lawsocsci-102209-152828
Dambrun, M. (2017). Self-centeredness and selflessness: Happiness correlates and mediating psychological processes. //PeerJ, 5//. https://doi.org/10.7717/peerj.3306
Dambrun, M. (2016). When the dissolution of perceived body boundaries elicits happiness: The effect of selflessness induced by a body scan meditation. //Consciousness and Cognition, 46//, 89-98. https://doi.org/10.1016/j.concog.2016.09.013
Lu, C.F., Smith, L.N., & Gau, C.H. (2012). Exploring the Zen meditation experiences of patients with generalized anxiety disorder: A focus-group approach. //Journal of Nursing Research, 20//(1), 43-51. https://doi.org/10.1097/JNR.0b013e3182466e83
Choi, Y.W., Karremans, J.C., & Barendregt, H. (2012). The happy face of mindfulness: Mindfulness meditation is associated with perceptions of happiness as rated by outside observers. //Journal of Positive Psychology, 7//(1), 30-35. https://doi.org/10.1080/17439760.2011.626788
Jung, K. (2014). Liberating Zen: A christian experience. //Journal of Korean Religions, 5//(1), 35-50. https://www.jstor.org/stable/23943333
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Wahler, R.G., Singh, J., & Sage, M. (2004). Mindful caregiving increases happiness among individuals with profound multiple disabilities. //Research in Developmental Disabilities, 25//(2), 207-218. https://doi.org/10.1016/j.ridd.2003.05.001
Campos, D., Cebolla, A., Quero, S., Breton-Lopez, J., Botella, C., Soler, J., ... & Banos, R.M. (2016). Meditation and happiness: Mindfulness and self-compassion may mediate the meditation-happiness relationship. //Personality and Individual Differences, 93//, 80-85. https://doi.org/10.1016/j.paid.2015.08.040
Lakey, C.E., Berry, D.R., & Sellers, E.W. (2011). Manipulating attention via mindfulness induction improves p300-based brain-computer interface performance. //Journal of Neural Engineering, 8//(2). https://doi.org/10.1088/1741-2560/8/2/025019
Zelenski, J.M., & Nisbet, E.K. (2014). Happiness and feeling connected: The distinct role of nature relatedness. //Environment and Behavior, 46//(1), 3-23. https://doi.org/10.1177/0013916512451901
Benzo, R.P., Kirsch, J.L., & Nelson, C. (2017). Compassion, mindfulness, and the happiness of healthcare workers. //Explore: The Journal of Science and Healing, 13//(3), 201-206. https://doi.org/10.1016/j.explore.2017.02.001
Strick, M., van Noorden, T.H.J., Rients, R.R., de Ruiter, J.R., & Dijksterhuis, A. (2012). Zen meditation and access to information in the unconscious. //Consciousness and Cognition, 21//(3), 1476-1481. https://doi.org/10.1016/j.concog.2012.02.010
Akin, U., & Akin, A. (2015). Mindfulness and subjective happiness: The mediating role of coping competence. //Ceskoslovenska Psychologie, 59//(4), 359-368. http://www.medvik.cz/link/bmc15030061
Denny, K., & Steiner, H. (2009). External and internal factors influencing happiness in elite collegiate athletes. //Child Psychiatry & Human Development, 40//(1), 55-72. https://doi.org/10.1007/s10578-008-0111-z
Lindsay, K., Kirby, D., Dluzewska, T., & Campbell, S. (2015). Oh, the places you'll go!: Newcastle law school's partnership interventions for well-being in first year law. //Journal of Learning Design, 8//(2), 11-21. https://www.jld.edu.au/article/view/239.html
Shaku, F., Tsutsumi, M., Goto, H., & Saint Arnoult, D. (2014). Measuring the effects of Zen training on quality of life and mental health among japanese monk trainees: A cross-sectional study. //Journal of Alternative and Complementary Medicine, 20//(5), 406-410. https://doi.org/10.1089/acm.2013.0209
Surinrut, P., Auamnoy, T., & Sangwatanaroj, S. (2016). Enhanced happiness and stress alleviation upon insight meditation retreat: Mindfulness, a part of traditional Buddhist meditation. //Mental Health Religion & Culture, 19//(7), 648-659. https://doi.org/10.1080/13674676.2016.1207618
Moore, Z.E. (2015). Addressing assumptions and clarifying conclusions in "assumptions and conclusions: Fundamental distinctions between Tibetan Buddhist and western approaches to happiness". //Journal of Rational-emotive and Cognitive-behavior Therapy, 33//(4), 368-373. https://doi.org/10.1007/s10942-015-0223-x
Hanley, A.W., Baker, A.K., & Garland, E.L. (2017). Self-interest may not be entirely in the interest of the self: Association between selflessness, dispositional mindfulness and psychological well-being. //Personality and Individual Differences, 117//, 166-171. https://doi.org/10.1016/j.paid.2017.05.045
Alfieri, A.V. (2012). Educating lawyers for community. //Wisconsin Law Review, //(1), 115-158. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1991160
Gilbert, P., McEwan, K., Gibbons, L., Chotai, S., Duarte, J., & Matos, M. (2012). Fears of compassion and happiness in relation to alexithymia, mindfulness, and self-criticism. //Psychology and Psychotherapy: Theory, Research and Practice, 85//(4), 374-390. https://doi.org/10.1111/j.2044-8341.2011.02046.x
Cathcart, S., Galatis, N., Immink, M., Proeve, M., & Petkov, J. (2014). Brief mindfulness-based therapy for chronic tension-type headache: A randomized controlled pilot study. //Behavioural and Cognitive Psychotherapy, 42//(1), 1-15. https://doi.org/10.1017/S1352465813000234
Grant, J.A., & Rainville, P. (2009). Pain sensitivity and analgesic effects of mindful states in Zen meditators: A cross-sectional study. //Psychosomatic Medicine, 71//(1), 106-114. https://doi.org/10.1097/PSY.0b013e31818f52ee
Brenner, M.J. (2009). Zen practice: A training method to enhance the skills of clinical social workers. //Social Work in health care, 48//(4), 462-470. https://doi.org/10.1080/00981380802589860
Zagonari, F. (2015). Technology improvements and value changes for sustainable happiness: A cross-development analytical model. //Sustainability Science, 10//(4), 687-698. https://doi.org/10.1007/s11625-015-0311-y
Feicht, T., Wittmann, M., Jose, G., Mock, A., von Hirschhausen, E., & Esch, T. (2013). Evaluation of a seven-week web-based happiness training to improve psychological well-being, reduce stress, and enhance mindfulness and flourishing: A randomized controlled occupational health study. //Evidence-based Complementary and Alternative Medicine//, 676953. https://doi.org/10.1155/2013/676953
Cloninger, C.R. (2006). The science of well-being: An integrated approach to mental health and its disorders. //World Psychiatry, 5//(2), 71-76. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1525119/
Bergsma, A., Poot, G., & Liefbroer, A.C. (2008). Happiness in the Garden of Epicurus. //Journal of Happiness Studies, 9//(3), 397-423. https://doi.org/10.1007/s10902-006-9036-z
Lomas, T., Etcoff, N., Van Gordon, W., & Shonin, E. (2017). Zen and the art of living mindfully: The health-enhancing potential of Zen aesthetics. //Journal of Religion & Health, 56//(5), 1720-1739. https://doi.org/10.1007/s10943-017-0446-5
Quoidbach, J., Berry, E.V., Hansenne, M., & Mikolajczak, M. (2010). Positive emotion regulation and well-being: Comparing the impact of eight savoring and dampening strategies. //Personality and Individual Differences, 49//(5), 368-373. https://doi.org/10.1016/j.paid.2010.03.048
Finlay-Jones, A., Kane, R., & Rees, C. (2017). Self-compassion online: A pilot study of an internet-based self-compassion cultivation program for psychology trainees. //Journal of Clinical Psychology, 73//(7), 797-816. https://doi.org/10.1002/jclp.22375
Kasser, T., & Sheldon, K.M. (2009). Time affluence as a path toward personal happiness and ethical business practice: Empirical evidence from four studies. //Journal of Business Ethics, 84//, 243-255. https://doi.org/10.1007/s10551-008-9696-1
Peters, M.L., Smeets, E., Feijge, M., van Breukelen, G., Andersson, G., Buhrman, M., ... & Linton, S.J. (2017). Happy despite pain a randomized controlled trial of an 8-week internet-delivered positive psychology intervention for enhancing well-being in patients with chronic pain. //Clinical Journal of Pain, 33//(11), 962-975. https://doi.org/10.1097/AJP.0000000000000494
Howells, A., Ivtzan, I., & Eiroa-Orosa, F.J. (2016). Putting the 'app' in happiness: A randomised controlled trial of a smartphone-based mindfulness intervention to enhance wellbeing. //Journal of Happiness Studies, 17//(1), 163-185. https://doi.org/10.1007/s10902-014-9589-1
[img[tps91.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Cano, M.A., Lam, C.Y., Chen, M.X., Adams, C.E., Correa-Fernandez, V., Stewart, D.W., ... & Wetter, D.W. (2014). Positive smoking outcome expectancies mediate the association between negative affect and smoking urge among women during a quit attempt. //Experimental and Clinical Psychopharmacology, 22//(4), 332-340. https://doi.org/10.1037/a0036749
Adams, C.E., Chen, M.X., Guo, L., Lam, C.Y., Stewart, D.W., Correa-Fernndez, V., ... & Wetter, D.W. (2014). Mindfulness predicts lower affective volatility among African Americans during smoking cessation. //Psychology of Addictive Behaviors, 28//(2), 580-585. https://doi.org/10.1037/a0036512
Reid, H.H., & Ledgerwood, D.M. (2016). Depressive symptoms affect changes in nicotine withdrawal and smoking urges throughout smoking cessation treatment: Preliminary results. //Addiction Research & Theory, 24//(1), 48-53. https://doi.org/10.3109/16066359.2015.1060967
Castaneda, G., Barnett, T.E., Soule, E.K., & Young, M.E. (2016). Hookah smoking behavior initiation in the context of millennials. //Public Health, 137//, 124-130. https://doi.org/10.1016/j.puhe.2016.02.013
Spears, C.A., Houchins, S.C., Stewart, D.W., Chen, M.X., Correa-Fernandez, V., Cano, M.A., ... & Wetter, D.W. (2015). Nonjudging facet of mindfulness predicts enhanced smoking cessation in hispanics. //Psychology of Addictive Behaviors, 29//(4). https://doi.org/10.1037/adb0000087
Elwafi, H.M., Witkiewitz, K., Mallik, S., Thornhill, T.A., & Brewer, J.A. (2013). Mindfulness training for smoking cessation: Moderation of the relationship between craving and cigarette use. //Drug and Alcohol Dependence, 130//(42738), 222-229. https://doi.org/10.1016/j.drugalcdep.2012.11.015
Westbrook, C., Creswell, J.D., Tabibnia, G., Julson, E., Kober, H., & Tindle, H.A. (2013). Mindful attention reduces neural and self-reported cue-induced craving in smokers. //Social Cognitive and Affective Neuroscience, 8//(1), 73-84. https://doi.org/10.1093/scan/nsr076
Bricker, J.B., Copeland, W., Mull, K.E., Zeng, E.Y., Watson, N.L., Akioka, K.J., ... & Heffner, J.L. (2017). Single-arm trial of the second version of an acceptance & commitment therapy smartphone application for smoking cessation. //Drug and Alcohol Dependence, 170//, 37-42. https://doi.org/10.1016/j.drugalcdep.2016.10.029
Adams, C.E., Tull, M.T., & Gratz, K.L. (2012). The role of emotional nonacceptance in the relation between depression and recent cigarette smoking. //American Journal on Addictions, 21//(4), 293-301. https://doi.org/10.1111/j.1521-0391.2012.00238.x
Erskine, J.A.K., Ussher, M., Cropley, M., Elgindi, A., Zaman, M., & Corlett, B. (2012). Effect of thought suppression on desire to smoke and tobacco withdrawal symptoms. //Psychopharmacology, 219//(1), 205-211. https://doi.org/10.1007/s00213-011-2391-4
Ruscio, A.C., Muench, C., Brede, E., & Waters, A.J. (2016). Effect of brief mindfulness practice on self-reported affect, craving, and smoking: A pilot randomized controlled trial using ecological momentary assessment. //Nicotine & Tobacco Research, 18//(1), 64-73. https://doi.org/10.1093/ntr/ntv074
Bricker, J.B., Mull, K.E., Kientz, J.A., Vilardaga, R., Mercer, L.D., Akioka, K.J., ... & Heffner, J.L. (2014). Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy. //Drug and Alcohol Dependence, 143//, 87-94. https://doi.org/10.1016/j.drugalcdep.2014.07.006
Bock, B.C., Morrow, K.M., Becker, B.M., Williams, D.M., Tremont, G., Gaskins, R.B., ... & Marcus, B.H. (2010). Yoga as a complementary treatment for smoking cessation: Rationale, study design and participant characteristics of the quitting-in-balance study. //BMC Complementary and Alternative Medicine, 10//. https://doi.org/10.1186/1472-6882-10-14
Erskine, J.A.K., Rawaf, D., Grice, S., & Ussher, M. (2015). Effect of suppressing thoughts of desire to smoke on ratings of desire to smoke and tobacco withdrawal symptoms. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572488
Kelly, M.M., Sido, H., Forsyth, J.P., Ziedonis, D.M., Kalman, D., & Cooney, J.L. (2015). Acceptance and commitment therapy smoking cessation treatment for veterans with posttraumatic stress disorder: A pilot study. //Journal of Dual Diagnosis, 11//(1), 50-55. https://doi.org/10.1080/15504263.2014.992201
Davis, J.M., Mills, D.M., Stankevitz, K.A., Manley, A.R., Majeskie, M.R., & Smith, S.S. (2013). Pilot randomized trial on mindfulness training for smokers in young adult binge drinkers. //BMC Complementary and Alternative Medicine, 13//. https://doi.org/10.1186/1472-6882-13-215
Adams, C.E., Mcvay, M.A., Stewart, D.W., Vinci, C., Kinsaul, J., Benitez, L., ... & Copeland, A.L. (2014). Mindfulness ameliorates the relationship between weight concerns and smoking behavior in female smokers: A cross-sectional investigation. //Mindfulness, 5//(2), 179-185. https://doi.org/10.1007/s12671-012-0163-9
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Singh, A.D.A., Singh, A.N.A., ... & Singh, J. (2013). A mindfulness-based smoking cessation program for individuals with mild intellectual disability. //Mindfulness, 4//(2), 148-157. https://doi.org/10.1007/s12671-012-0148-8
Bock, B.C., Rosen, R.K., Fava, J.L., Gaskins, R.B., Jennings, E., Thind, H., ... & Marcus, B.H. (2014). Testing the efficacy of yoga as a complementary therapy for smoking cessation: Design and methods of the breatheasy trial. //Contemporary Clinical Trials, 38//(2), 321-332. https://doi.org/10.1016/j.cct.2014.06.003
Gryffin, P.A., & Chen, W.C. (2013). Implications of T'ai Chi for Smoking Cessation. //Journal of Alternative and Complementary Medicine, 19//(2), 141-145. https://doi.org/10.1089/acm.2011.0094
Guillot, C.R., Zvolensky, M.J., & Levehthal, A.M. (2015). Differential associations between components of anxiety sensitivity and smoking-related characteristics. //Addictive Behaviors, 40//, 39-44. https://doi.org/10.1016/j.addbeh.2014.08.004
Ussher, M., Cropley, M., Playle, S., Mohidin, R., & West, R. (2009). Effect of isometric exercise and body scanning on cigarette cravings and withdrawal symptoms. //Addiction, 104//(7), 1251-1257. https://doi.org/10.1111/j.1360-0443.2009.02605.x
Heppner, W.L., Spears, C.A., Correa-Fernandez, V., Castro, Y., Li, Y.S., Guo, B.B., ... & Wetter, D.W. (2016). Dispositional mindfulness predicts enhanced smoking cessation and smoking lapse recovery. //Annals of Behavioral Medicine, 50//(3), 337-347. https://doi.org/10.1007/s12160-015-9759-3
Bowen, S., & Marlatt, A. (2009). Surfing the urge: Brief mindfulness-based intervention for college student smokers. //Psychology of Addictive Behaviors, 23//(4), 666-671. https://doi.org/10.1037/a0017127
Davis, J.M., Manley, A.R., Goldberg, S.B., Stankevitz, K.A., & Smith, S.S. (2015). Mindfulness training for smokers via web-based video instruction with phone support: A prospective observational study. //BMC Complementary and Alternative Medicine, 15//. https://doi.org/10.1186/s12906-015-0618-3
Singh, N.N., Lancioni, G.E., Myers, R.E., Karazsia, B.T., Winton, A.S.W., & Singh, J. (2014). A randomized controlled trial of a mindfulness-based smoking cessation program for individuals with mild intellectual disability. //International Journal of Mental Health and Addiction, 12//(2), 153-168. https://doi.org/10.1007/s11469-013-9471-0
Vinci, C., Li, L., Wu, C., Lam, C.Y., Guo, L., Correa-Fernandez, V., ... & Wetter, D.W. (2017). The association of positive emotion and first smoking lapse: An ecological momentary assessment study. //Health Psychology, 36//(11), 1038-1046. https://doi.org/10.1037/hea0000535
Garrison, K.A., Pal, P., Rojiani, R., Dallery, J., O'Malley, S.S., & Brewer, J.A. (2015). A randomized controlled trial of smartphone-based mindfulness training for smoking cessation: A study protocol. //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0468-z
Cropley, M., Ussher, M., & Charitou, E. (2007). Acute effects of a guided relaxation routine (body scan) on tobacco withdrawal symptoms and cravings in abstinent smokers. //Addiction, 102//(6), 989-993. https://doi.org/10.1111/j.1360-0443.2007.01832.x
Brewer, J.A., Mallik, S., Babuscio, T.A., Nich, C., Johnson, H.E., Deleone, C.M., ... & Rounsaville, B.J. (2011). Mindfulness training for smoking cessation: Results from a randomized controlled trial. //Drug and Alcohol Dependence, 119//(42737), 72-80. https://doi.org/10.1016/j.drugalcdep.2011.05.027
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, A.N.A., Singh, J., & Singh, A.D.A. (2011). Effects of a mindfulness-based smoking cessation program for an adult with mild intellectual disability. //Research in Developmental Disabilities, 32//(3), 1180-1185. https://doi.org/10.1016/j.ridd.2011.01.003
Ruscio, A.C., Muench, C., Brede, E., MacIntyre, J., & Waters, A.J. (2016). Administration and assessment of brief mindfulness practice in the field: A feasibility study using ecological momentary assessment. //Mindfulness, 7//(4), 988-999. https://doi.org/10.1007/s12671-016-0538-4
Luberto, C.M., McLeish, A.C., Robertson, S.A., Avallone, K.M., Kraemer, K.M., & Jeffries, E.R. (2014). The role of mindfulness skills in terms of distress tolerance: A pilot test among adult daily smokers. //American Journal on Addictions, 23//(2), 184-188. https://doi.org/10.1111/j.1521-0391.2013.12096.x
Davis, J.M., Goldberg, S.B., Anderson, M.C., Manley, A.R., Smith, S.S., & Baker, T.B. (2014). Randomized trial on mindfulness training for smokers targeted to a disadvantaged population. //Substance Use & Misuse, 49//(5), 571-585. https://doi.org/10.3109/10826084.2013.770025
Kelly, M.M., Latta, R.E., & Gimmestad, K. (2012). Acceptance and mindfulness-based tobacco cessation interventions for individuals with mental health disorders. //Journal of Dual Diagnosis, 8//(2), 89-98. https://doi.org/10.1080/15504263.2012.670846
Davis, J.M., Manley, A.R., Goldberg, S.B., Smith, S.S., & Jorenby, D.E. (2014). Randomized trial comparing mindfulness training for smokers to a matched control. //Journal of Substance Abuse Treatment, 47//(3), 213-221. https://doi.org/10.1016/j.jsat.2014.04.005
Vidrine, J.I., Businelle, M.S., Reitzel, L.R., Cao, Y.M., Cinciripini, P.M., Marcus, M.T., ... & Wetter, D.W. (2015). Coping mediates the association of mindfulness with psychological stress, affect, and depression among smokers preparing to quit. //Mindfulness, 6//(3), 433-443. https://doi.org/10.1007/s12671-014-0276-4
Gao, Y., & Shi, L. (2015). Mindfulness, physical activity and avoidance of secondhand smoke: A study of college students in shanghai. //International Journal of Environmental Research and Public Health, 12//(8). https://doi.org/10.3390/ijerph120810106
Guillot, C.R., Pang, R.D., & Leventhal, A.M. (2014). Anxiety sensitivity and negative urgency a pathway to negative reinforcement-related smoking expectancies. //Journal of Addiction Medicine, 8//(3), 189-194. https://doi.org/10.1097/ADM.0000000000000017
Nosen, E., & Woody, S.R. (2013). Brief psycho-education affects circadian variability in nicotine craving during cessation. //Drug and Alcohol Dependence, 132//(42737), 283-289. https://doi.org/10.1016/j.drugalcdep.2013.02.017
Vidrine, J.I., Businelle, M.S., Cinciripini, P., Li, Y.S., Marcus, M.T., Waters, A.J., ... & Wetter, D.W. (2009). Associations of mindfulness with nicotine dependence, withdrawal, and agency. //Substance Abuse, 30//(4), 318-327. https://doi.org/10.1080/08897070903252973
Spears, C.A., Hedeker, D., Li, L., Wu, C., Anderson, N.K., Houchins, S.C., ... & Welter, D.W. (2017). Mechanisms underlying mindfulness-based addiction treatment versus cognitive behavioral therapy and usual care for smoking cessation. //Journal of Consulting and Clinical Psychology, 85//(11), 1029-1040. https://doi.org/10.1037/ccp0000229
Goldberg, S.B., Manley, A.R., Smith, S.S., Greeson, J.M., Russell, E., Van Uum, S., ... & Davis, J.M. (2014). Hair cortisol as a biomarker of stress in mindfulness training for smokers. //Journal of Alternative and Complementary Medicine, 20//(8), 630-634. https://doi.org/10.1089/acm.2014.0080
Tang, Y.Y., Tang, R.X., & Posner, M.I. (2013). Brief meditation training induces smoking reduction. //Proceedings of the National Academy of Sciences of the United States of America, 110//(34), 13971-13975. https://doi.org/10.1073/pnas.1311887110
Libby, D.J., Worhunsky, P.D., Pilver, C.E., & Brewer, J.A. (2012). Meditation-induced changes in high-frequency heart rate variability predict smoking outcomes. //Frontiers in Human Neuroscience, 6//, 54. https://doi.org/10.3389/fnhum.2012.00054
Paz, R., Zvielli, A., Goldstein, P., & Bernstein, A. (2017). Brief mindfulness training de-couples the anxiogenic effects of distress intolerance on reactivity to and recovery from stress among deprived smokers. //Behaviour Research and Therapy, 95//, 117-127. https://doi.org/10.1016/j.brat.2017.05.017
Vinci, C., Spears, C.A., Peltier, M.R., & Copeland, A.L. (2016). Facets of mindfulness mediate the relationship between depressive symptoms and smoking behavior. //Mindfulness, 7//(6), 1408-1415. https://doi.org/10.1007/s12671-016-0582-0
Adams, C.E., McVay, M.A., Kinsaul, J., Benitez, L., Vinci, C., Stewart, D.W., ... & Copeland, A.L. (2012). Unique relationships between facets of mindfulness and eating pathology among female smokers. //Eating Behaviors, 13//(4), 390-393. https://doi.org/10.1016/j.eatbeh.2012.05.009
Loree, A.M., Ondersma, S.J., & Grekin, E.R. (2017). Toward enhancing treatment for pregnant smokers: Laying the groundwork for the use of complementary and alternative medicine approaches. //Nicotine & Tobacco Research, 19//(5), 562-571. https://doi.org/10.1093/ntr/ntw262
Schuman-Olivier, Z., Hoeppner, B.B., Evins, A.E., & Brewer, J.A. (2014). Finding the right match: Mindfulness training may potentiate the therapeutic effect of nonjudgment of inner experience on smoking cessation. //Substance Use & Misuse, 49//(5), 586-594. https://doi.org/10.3109/10826084.2014.850254
Barros, V.V., Kozasa, E.H., Formagini, T.D.B., Pereira, L.H., & Ronzani, T.M. (2015). Smokers show lower levels of psychological well-being and mindfulness than non-smokers. //PLOS ONE, 10//(8). https://doi.org/10.1371/journal.pone.0135377
Kober, H., Brewer, J.A., Height, K.L., & Sinha, R. (2017). Neural stress reactivity relates to smoking outcomes and differentiates between mindfulness and cognitive-behavioral treatments. //Neuroimage, 151//, 4-13. https://doi.org/10.1016/j.neuroimage.2016.09.042
Szasz, P.L., Szentagotai, A., & Hofmann, S.G. (2012). Effects of emotion regulation strategies on smoking craving, attentional bias, and task persistence. //Behaviour Research and Therapy, 50//(5), 333-340. https://doi.org/10.1016/j.brat.2012.02.010
Waters, A.J., Reitzel, L.R., Cinciripini, P., Li, Y.S., Marcus, M.T., Vidrine, J.I., ... & Wetter, D.W. (2009). Associations between mindfulness and implicit cognition and self-reported affect. //Substance Abuse, 30//(4), 328-337. https://doi.org/10.1080/08897070903252080
Adams, C.E., Benitez, L., Kinsaul, J., McVay, M.A., Barbry, A., Thibodeaux, A., ... & Copeland, A.L. (2013). Effects of brief mindfulness instructions on reactions to body image stimuli among female smokers: An experimental study. //Nicotine & Tobacco Research, 15//(2), 376-384. https://doi.org/10.1093/ntr/nts133
Levin, M.E., Luoma, J.B., & Haeger, J.A. (2015). Decoupling as a mechanism of change in mindfulness and acceptance: A literature review. //Behavior Modification, 39//(6). https://doi.org/10.1177/0145445515603707
[img[tps92.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Meyer-Parsons, B., Van Etten, S., & Shaw, J.R. (2017). The healer's art (HART): Veterinary students connecting with self, peers, and the profession. //Journal of Veterinary Medical Education, 44//(1), 187-197. https://doi.org/10.3138/jvme.0116-022R
Cantrell, D.J. (2012). Lawyers, loyalty and social change. //Denver University Law Review, 89//(4), 941-975. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1975051
von der Putten, A.M., Kramer, N.C., Gratch, J., & Kang, S.H. (2010). "It doesn't matter what you are!" Explaining social effects of agents and avatars. //Computers in Human Behavior, 26//(6), 1641-1650. https://doi.org/10.1016/j.chb.2010.06.012
Bruggeman-Everts, F.Z., Wolvers, M.D.J., van de Schoot, R.V., Vollenbroek-Hutten, M.M.R., & Van der Lee, M.L. (2017). Effectiveness of two web-based interventions for chronic cancer-related fatigue compared to an active control condition: Results of the "Fitter na kanker" randomized controlled trial. //Journal of Medical Internet Research, 19//(10). https://doi.org/10.2196/jmir.7180
Gomez, J., Hoffman, H.G., Bistricky, S.L., Gonzalez, M., Rosenberg, L., Sampaio, M., ... & Linehan, M.M. (2017). The use of virtual reality facilitates Dialectical Behavior Therapy® “Observing Sounds and Visuals” mindfulness skills training exercises for a Latino patient with severe burns: A case study. //Frontiers in Psychology, 8//, 1611. https://doi.org/10.3389/fpsyg.2017.01611
Sweeny, K., Reynolds, C.A., Falkenstein, A., Andrews, S.E., & Dooley, M.D. (2016). Two definitions of waiting well. //Emotion, 16//(1), 129-143. https://doi.org/10.1037/emo0000117
Wang, S.B., Lydecker, J.A., & Grilo, C.M. (2017). Rumination in patients with binge-eating disorder and obesity: Associations with eating-disorder psychopathology and weight-bias internalization. //European Eating Disorders Review, 25//(2), 98-103. https://doi.org/10.1002/erv.2499
Josipovic, Z., Dinstein, I., Weber, J., & Heeger, D.J. (2012). Influence of meditation on anti-correlated networks in the brain. //Frontiers in Human Neuroscience, 5//, 183. https://doi.org/10.3389/fnhum.2011.00183
Josipovic, Z. (2014). Neural correlates of nondual awareness in meditation. Advances in meditation research: //Neuroscience and clinical applications, 1307//, 9-18. https://doi.org/10.1111/nyas.12261
Kushlev, K., & Dunn, E.W. (2015). Checking email less frequently reduces stress. //Computers in Human Behavior, 43//, 220-228. https://doi.org/10.1016/j.chb.2014.11.005
Guiette, A., & Vandenbempt, K. (2016). Learning in times of dynamic complexity through balancing phenomenal qualities of sensemaking. //Management Learning, 47//(1), 83-99. https://doi.org/10.1177/1350507615592112
Rosness, R., Evjemo, T.E., Haavik, T., & Waero, I. (2016). Prospective sensemaking in the operating theatre. //Cognition Technology & Work, 18//(1), 53-69. https://doi.org/10.1007/s10111-015-0346-y
Zha, X.J., Zhang, J.C., Yan, Y.L., & Zha, D.C. (2015). Sound information seeking in Web 2.0 virtual communities: The moderating effect of mindfulness. //Behaviour & Information Technology, 34//(9), 920-935. https://doi.org/10.1080/0144929X.2015.1027876
Hong, P.Y., Lishner, D.A., Vogels, E.A., & Ebert, A.R. (2016). The effect of a mindfulness practice and dispositional mindfulness on affective forecasting. //Basic and Applied Social Psychology, 38//(3), 153-165. https://doi.org/10.1080/01973533.2016.1182533
McArthur, M.L., Andrews, J.R., Brand, C., & Hazel, S.J. (2017). The prevalence of compassion fatigue among veterinary students in Australia and the associated psychological factors. //Journal of Veterinary Medical Education, 44//(1), 9-21. https://doi.org/10.3138/jvme.0116-016R3
Dorsch, M.P., Farris, K.B., Bleske, B.E., & Koelling, T.M. (2015). A web application for self-monitoring improves symptoms in chronic systolic heart failure. //Telemedicine and E-health, 21//(4), 267-270. https://doi.org/10.1089/tmj.2014.0095
McArthur, M., Mansfield, C., Matthew, S., Zaki, S., Brand, C., Andrews, J., ... & Hazel, S. (2017). Resilience in veterinary students and the predictive role of mindfulness and self-compassion. //Journal of Veterinary Medical Education, 44//(1), 106-115. https://doi.org/10.3138/jvme.0116-027R1
O'Leary, M., & Chia, R. (2007). Epistemes and structures of sensemaking in organizational life. //Journal of Management Inquiry, 16//(4), 392-406. https://doi.org/10.1177/1056492607310976
Barry, D., & Meisiek, S. (2010). Seeing more and seeing differently: Sensemaking, mindfulness, and the workarts. //Organization Studies, 31//(11), 1505-1530. https://doi.org/10.1177/0170840610380802
Cikajlo, I., Staba, U.C., Vrhovac, S., Larkin, F., & Roddy, M. (2017). A cloud-based virtual reality app for a novel telemindfulness service: Rationale, design and feasibility evaluation. //JMIR Research Protocols, 6//(6). https://doi.org/10.2196/resprot.6849
Busby, J.S., & Collins, A.M. (2014). Organizational sensemaking about risk controls: The case of offshore hydrocarbons production. //Risk Analysis, 34//(9), 1738-1752. https://doi.org/10.1111/risa.12198
Hopkins, V., & Kuyken, W. (2012). Benefits and barriers to attending MBCT reunion meetings: An insider perspective. //Mindfulness, 3//(2), 139-150. https://doi.org/10.1007/s12671-012-0088-3
Mak, W.W.S., Chio, F.H.N., Chan, A.T.Y., Lui, W.W.S., & Wu, E.K.Y. (2017). The efficacy of internet-based mindfulness training and cognitive-behavioral training with telephone support in the enhancement of mental health among college students and young working adults: Randomized controlled trial. //Journal of Medical Internet Research, 19//(3). https://doi.org/10.2196/jmir.6737
Correia, H.M., Smith, A.D., Murray, S., Polak, L.S., Williams, B., & Cake, M.A. (2017). The impact of a brief embedded mindfulness-based program for veterinary students. //Journal of Veterinary Medical Education, 44//(1), 125-133. https://doi.org/10.3138/jvme.0116-026R
[img[tps93.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Whittingham, K., Sanders, M., McKinlay, L., & Boyd, R.N. (2013). Stepping stones triple p and acceptance and commitment therapy for parents of children with cerebral palsy: Trial protocol. //Brain Impairment, 14//(2), 270-280. https://doi.org/10.1017/BrImp.2013.19
Meppelink, R., de Bruin, E.I., Wanders-Mulder, F.H., Vennik, C.J., & Bogels, S.M. (2016). Mindful parenting training in child psychiatric settings: Heightened parental mindfulness reduces parents' and children's psychopathology. //Mindfulness, 7//(3), 680-689. https://doi.org/10.1007/s12671-016-0504-1
Gouveia, M.J., Carona, C., Canavarro, M.C., & Moreira, H. (2016). Self-compassion and dispositional mindfulness are associated with parenting styles and parenting stress: The mediating role of mindful parenting. //Mindfulness, 7//(3), 700-712. https://doi.org/10.1007/s12671-016-0507-y
Hemdi, A., & Daley, D. (2017). The effectiveness of a psychoeducation intervention delivered via whatsapp for mothers of children with autism spectrum disorder (ASD) in the kingdom of Saudi Arabia: A randomized controlled trial. //Child Care Health and Development, 43//(6), 933-941. https://doi.org/10.1111/cch.12520
Corthorn, C., & Milicic, N. (2016). Mindfulness and parenting: A correlational study of non-meditating mothers of preschool children. //Journal of Child and Family Studies, 25//(5), 1672-1683. https://doi.org/10.1007/s10826-015-0319-z
Medeiros, C., Gouveia, M.J., Canavarro, M.C., & Moreira, H. (2016). The indirect effect of the mindful parenting of mothers and fathers on the child's perceived well-being through the child's attachment to parents. //Mindfulness, 7//(4), 916-927. https://doi.org/10.1007/s12671-016-0530-z
Conner, C.M., & White, S.W. (2014). Stress in mothers of children with autism: Trait mindfulness as a protective factor. //Research in Autism Spectrum Disorders, 8//(6), 617-624. https://doi.org/10.1016/j.rasd.2014.02.001
Moreira, H., Carona, C., Silva, N., Nunes, J., & Canavarro, M.C. (2016). Exploring the link between maternal attachment-related anxiety and avoidance and mindful parenting: The mediating role of self-compassion. //Psychology and Psychotherapy: Theory, Research and Practice, 89//(4), 369-384. https://doi.org/10.1111/papt.12082
Hwang, Y.S., Kearney, P., Klieve, H., Lang, W., & Roberts, J. (2015). Cultivating mind: Mindfulness interventions for children with autism spectrum disorder and problem behaviours, and their mothers. //Journal of Child and Family Studies, 24//(10). https://doi.org/10.1007/s10826-015-0114-x
Lo, H.H.M., Wong, S.Y.S., Wong, J.Y.H., Wong, S.W.L., & Yeung, J.W.K. (2016). The effect of a family-based mindfulness intervention on children with attention deficit and hyperactivity symptoms and their parents: Design and rationale for a randomized, controlled clinical trial (study protocol). //BMC Psychiatry, 16//. https://doi.org/10.1186/s12888-016-0773-1
Singh, N.N., Singh, A.N., Lancioni, G.E., Singh, J., Winton, A.S.W., & Adkins, A.D. (2010). Mindfulness training for parents and their children with ADHD increases the children's compliance. //Journal of Child and Family Studies, 19//(2), 157-166. https://doi.org/10.1007/s10826-009-9272-z
Mann, J., Kuyken, W., O'Mahen, H., Ukoumunne, O.C., Evans, A., & Ford, T. (2016). Manual development and pilot randomised controlled trial of mindfulness-based cognitive therapy versus usual care for parents with a history of depression. //Mindfulness, 7//(5), 1024-1033. https://doi.org/10.1007/s12671-016-0543-7
Rayan, A., & Ahmad, M. (2017). Effectiveness of mindfulness-based intervention on perceived stress, anxiety, and depression among parents of children with autism spectrum disorder. //Mindfulness, 8//(3), 677-690. https://doi.org/10.1007/s12671-016-0595-8
Zhang, D.X., Chan, S.K.C., Lo, H.H.M., Chan, C.Y.H., Chan, J.C.Y., Ting, K.T., ... & Wong, S.Y.S. (2017). Mindfulness-based intervention for Chinese children with ADHD and their parents: A pilot mixed-method study. //Mindfulness, 8//(4), 859-872. https://doi.org/10.1007/s12671-016-0660-3
Burke, K., Muscara, F., McCarthy, M., Dimovski, A., Hearps, S., Anderson, V., ... & Walser, R. (2014). Adapting acceptance and commitment therapy for parents of children with life-threatening illness: Pilot study. //Families Systems & Health, 32//(1), 122-127. https://doi.org/10.1037/fsh0000012
Whittingham, K., Sanders, M., McKinlay, L., & Boyd, R.N. (2014). Interventions to reduce behavioral problems in children with cerebral palsy: An RCT. //Pediatrics, 133//(5), E1249-E1257. https://doi.org/10.1542/peds.2013-3620
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Fisher, B.C., Wahler, R.G., McAleavey, K., ... & Sabaawi, M. (2006). Mindful parenting decreases aggression, noncompliance, and self-injury in children with autism. //Journal of Emotional and Behavioral Disorders, 14//(3), 169-177. https://doi.org/10.1177/10634266060140030401
Neece, C.L. (2014). Mindfulness-based stress reduction for parents of young children with developmental delays: Implications for parental mental health and child behavior problems. //Journal of Applied Research in Intellectual Disabilities, 27//(2), 174-186. https://doi.org/10.1111/jar.12064
Altmaier, E., & Maloney, R. (2007). An initial evaluation of a mindful parenting program. //Journal of Clinical Psychology, 63//(12), 1231-1238. https://doi.org/10.1002/jclp.20395
Dykens, E.M., Fisher, M.H., Taylor, J.L., Lambert, W., & Miodrag, N. (2014). Reducing distress in mothers of children with autism and other disabilities: A randomized trial. //Pediatrics, 134//(2), E454-E463. https://doi.org/10.1542/peds.2013-3164
May, L.M., Reinka, M.A., Tipsord, J.M., Felver, J.C., & Berkman, E.T. (2016). Parenting an early adolescent: A pilot study examining neural and relationship quality changes of a mindfulness intervention. //Mindfulness, 7//(5), 1203-1213. https://doi.org/10.1007/s12671-016-0563-3
Geurtzen, N., Scholte, R.H.J., Engels, R.C.M.E., Tak, Y.R., & van Zundert, R.M.P. (2015). Association between mindful parenting and adolescents' internalizing problems: Non-judgmental acceptance of parenting as core element. //Journal of Child and Family Studies, 24//(4), 1117-1128. https://doi.org/10.1007/s10826-014-9920-9
Ferraioli, S.J., & Harris, S.L. (2013). Comparative effects of mindfulness and skills-based parent training programs for parents of children with autism: Feasibility and preliminary outcome data. //Mindfulness, 4//(2), 89-101. https://doi.org/10.1007/s12671-012-0099-0
Fisak, B., Holderfield, K.G., Douglas-Osborn, E., & Cartwright-Hatton, S. (2012). What do parents worry about? examination of the construct of parent worry and the relation to parent and child anxiety. //Behavioural and Cognitive Psychotherapy, 40//(5), 542-557. https://doi.org/10.1017/S1352465812000410
McIntyre, L.L. (2013). Parent training interventions to reduce challenging behavior in children with intellectual and developmental disabilities. //International review of research in developmental disabilities: Challenging behavior, vol 44, 44//, 245-279. https://doi.org/10.1016/B978-0-12-401662-0.00008-7
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Curtis, W.J., Wahler, R.G., ... & McAleavey, K.M. (2007). Mindful parenting decreases aggression and increases social behavior in children with developmental disabilities. //Behavior Modification, 31//(6), 749-771. https://doi.org/10.1177/0145445507300924
de Bruin, E.I., Blom, R., Smit, F.M.A., van Steensel, F.J.A., & Bogels, S.M. (2015). //Mymind//: Mindfulness training for Youngsters with autism spectrum disorders and their parents. //Autism, 19//(8), 906-914. https://doi.org/10.1177/1362361314553279
Lewallen, A.C., & Neece, C.L. (2015). Improved social skills in children with developmental delays after parent participation in MBSR: The role of parent-child relational factors. //Journal of Child and Family Studies, 24//(10). https://doi.org/10.1007/s10826-015-0116-8
Psychogiou, L., Legge, K., Parry, E., Mann, J., Nath, S., Ford, T., ... & Kuyken, W. (2016). Self-compassion and parenting in mothers and fathers with depression. //Mindfulness, 7//(4), 896-908. https://doi.org/10.1007/s12671-016-0528-6
Reid, N., Dawe, S., Harnett, P., Shelton, D., Hutton, L., & O'Callaghan, F. (2017). Feasibility study of a family-focused intervention to improve outcomes for children with FASD. //Research in Developmental Disabilities, 67//, 34-46. https://doi.org/10.1016/j.ridd.2017.06.004
MacDonald, E.E., & Hastings, R.P. (2010). Mindful parenting and care involvement of fathers of children with intellectual disabilities. //Journal of Child and Family Studies, 19//(2), 236-240. https://doi.org/10.1007/s10826-008-9243-9
Duncan, L.G., Coatsworth, J.D., Gayles, J.G., Geier, M.H., & Greenberg, M.T. (2015). Can mindful parenting be observed? relations between observational ratings of mother-youth interactions and mothers' self-report of mindful parenting. //Journal of Family Psychology, 29//(2), 276-282. https://doi.org/10.1037/a0038857
Bluth, K., Roberson, P.N.E., Billen, R.M., & Sams, J.M. (2013). A stress model for couples parenting children with autism spectrum disorders and the introduction of a mindfulness intervention. //Journal of Family Theory & Review, 5//(3), 194-213. https://doi.org/10.1111/jftr.12015
Mak, C., Whittingham, K., Cunnington, R., & Boyd, R.N. (2017). MiYoga: a randomised controlled trial of a mindfulness movement programme based on hatha yoga principles for children with cerebral palsy: a study protocol. //BMJ Open, 7//(7). https://doi.org/10.1136/bmjopen-2016-015191
Moreira, H., & Canavarro, M.C. (2017). Psychometric properties of the interpersonal mindfulness in parenting scale in a sample of portuguese mothers. //Mindfulness, 8//(3), 691-706. https://doi.org/10.1007/s12671-016-0647-0
Coholic, D., Eys, M., & Lougheed, S. (2012). Investigating the effectiveness of an arts-based and mindfulness-based group program for the improvement of resilience in children in need. //Journal of Child and Family Studies, 21//(5), 833-844. https://doi.org/10.1007/s10826-011-9544-2
Jones, L., Hastings, R.P., Totsika, V., Keane, L., & Rhule, N. (2014). Child behavior problems and parental well-being in families of children with autism: The mediating role of mindfulness and acceptance. //American Journal on Intellectual and Developmental Disabilities, 119//(2), 171-185. https://doi.org/10.1352/1944-7558-119.2.171
Parent, J., McKee, L.G., Anton, M., Gonzalez, M., Jones, D.J., & Forehand, R. (2016). Mindfulness in parenting and coparenting. //Mindfulness, 7//(2), 504-513. https://doi.org/10.1007/s12671-015-0485-5
Siu, A.F.Y., Ma, Y., & Chui, F.W.Y. (2016). Maternal mindfulness and child social behavior: The mediating role of the mother-child relationship. //Mindfulness, 7//(3), 577-583. https://doi.org/10.1007/s12671-016-0491-2
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Karazsia, B.T., Myers, R.E., Latham, L.L., ... & Singh, J. (2014). Mindfulness-based positive behavior support (MBPBS) for mothers of adolescents with autism spectrum disorder: Effects on adolescents' behavior and parental stress. //Mindfulness, 5//(6), 646-657. https://doi.org/10.1007/s12671-014-0321-3
Zarnegar, Z., Hambrick, E.P., Perry, B.D., Azen, S.P., & Peterson, C. (2016). Clinical improvements in adopted children with fetal alcohol spectrum disorders through neurodevelopmentally informed clinical intervention: A pilot study. //Clinical Child Psychology and Psychiatry, 21//(4), 551-567. https://doi.org/10.1177/1359104516636438
Neff, K.D., & Faso, D.J. (2015). Self-compassion and well-being in parents of children with autism. //Mindfulness, 6//(4). https://doi.org/10.1007/s12671-014-0359-2
Rayan, A., & Ahmad, M. (2016). Effectiveness of mindfulness-based interventions on quality of life and positive reappraisal coping among parents of children with autism spectrum disorder. //Research in Developmental Disabilities, 55//, 185-196. https://doi.org/10.1016/j.ridd.2016.04.002
Cohen, J.A.S., & Semple, R.J. (2010). Mindful parenting: A call for research. //Journal of Child and Family Studies, 19//(2), 145-151. https://doi.org/10.1007/s10826-009-9285-7
Chan, T.O., & Lam, S.F. (2017). Mediator or moderator? the role of mindfulness in the association between child behavior problems and parental stress. //Research in Developmental Disabilities, 70//, 1-10. https://doi.org/10.1016/j.ridd.2017.08.007
Coates, C.A. (2015). The parenting coordinator as peacemaker and peacebuilder. //Family Court Review, 53//(3), 398-406. https://doi.org/10.1111/fcre.12161
van de Weijer-Bergsma, E., Formsma, A.R., de Bruin, E.I., & Bogels, S.M. (2012). The effectiveness of mindfulness training on behavioral problems and attentional functioning in adolescents with ADHD. //Journal of Child and Family Studies, 21//(5), 775-787. https://doi.org/10.1007/s10826-011-9531-7
Chan, K.K.S., & Lam, C.B. (2017). Trait mindfulness attenuates the adverse psychological impact of stigma on parents of children with autism spectrum disorder. //Mindfulness, 8//(4), 984-994. https://doi.org/10.1007/s12671-016-0675-9
Semple, R.J., Lee, J., Rosa, D., & Miller, L.F. (2010). A randomized trial of mindfulness-based cognitive therapy for children: Promoting mindful attention to enhance social-emotional resiliency in children. //Journal of Child and Family Studies, 19//(2), 218-229. https://doi.org/10.1007/s10826-009-9301-y
Turpyn, C.C., & Chaplin, T.M. (2016). Mindful parenting and parents' emotion expression: Effects on adolescent risk behaviors. //Mindfulness, 7//(1), 246-254. https://doi.org/10.1007/s12671-015-0440-5
Parent, J., Mckee, L.G., Rough, J.N., & Forehand, R. (2016). The association of parent mindfulness with parenting and youth psychopathology across three developmental stages. //Journal of Abnormal Child Psychology, 44//(1), 191-202. https://doi.org/10.1007/s10802-015-9978-x
Lippold, M.A., Duncan, L.G., Coatsworth, J.D., Nix, R.L., & Greenberg, M.T. (2015). Understanding how mindful parenting may be linked to mother-adolescent communication. //Journal of Youth and Adolescence, 44//(9). https://doi.org/10.1007/s10964-015-0325-x
Burke, M.M., Chan, N., & Neece, C.L. (2017). Parent perspectives of applying mindfulness-based stress reduction strategies to special education. //Intellectual and Developmental Disabilities, 55//(3), 167-180. https://doi.org/10.1352/1934-9556-55.3.167
Coatsworth, J.D., Duncan, L.G., Nix, R.L., Greenberg, M.T., Gayles, J.G., Bamberger, K.T., ... & Demi, M.A. (2015). Integrating mindfulness with parent training: Effects of the mindfulness-enhanced strengthening families program. //Developmental Psychology, 51//(1), 26-35. https://doi.org/10.1037/a0038212
Williams, K.L., & Wahler, R.G. (2010). Are mindful parents more authoritative and less authoritarian? an analysis of clinic-referred mothers. //Journal of Child and Family Studies, 19//(2), 230-235. https://doi.org/10.1007/s10826-009-9309-3
Gannon, M., Mackenzie, M., Kaltenbach, K., & Abatemarco, D. (2017). Impact of mindfulness-based parenting on women in treatment for opioid use disorder. //Journal of Addiction Medicine, 11//(5), 368-376. https://doi.org/10.1097/ADM.0000000000000336
Coatsworth, J.D., Duncan, L.G., Greenberg, M.T., & Nix, R.L. (2010). Changing parent's mindfulness, child management skills and relationship quality with their youth: Results from a randomized pilot intervention trial. //Journal of Child and Family Studies, 19//(2), 203-217. https://doi.org/10.1007/s10826-009-9304-8
Doty, J.L., Rudi, J.H., Pinna, K.L.M., Hanson, S.K., & Gewirtz, A.H. (2016). If you build it, will they come? patterns of internet-based and face-to-face participation in a parenting program for military families. //Journal of Medical Internet Research, 18//(6). https://doi.org/10.2196/jmir.4445
Stepp, S.D., Whalen, D.J., Pilkonis, P.A., Hipwell, A.E., & Levine, M.D. (2012). Children of mothers with borderline personality disorder: Identifying parenting behaviors as potential targets for intervention. //Personality Disorders-theory Research and Treatment, 3//(1), 76-91. https://doi.org/10.1037/a0023081
Anderson, S.B., & Guthery, A.M. (2015). Mindfulness-based psychoeducation for parents of children with attention-deficit/hyperactivity disorder: An applied clinical project. //Journal of Child and Adolescent Psychiatric Nursing, 28//(1), 43-49. https://doi.org/10.1111/jcap.12103
Lunsky, Y., Robinson, S., Reid, M., & Palucka, A. (2015). Development of a mindfulness-based coping with stress group for parents of adolescents and adults with developmental disabilities. //Mindfulness, 6//(6), 1335-1344. https://doi.org/10.1007/s12671-015-0404-9
van der Oord, S., Bogels, S.M., & Peijnenburg, D. (2012). The effectiveness of mindfulness training for children with ADHD and mindful parenting for their parents. //Journal of Child and Family Studies, 21//(1), 139-147. https://doi.org/10.1007/s10826-011-9457-0
Nadler, R., Cordy, M., Stengel, J., Segal, Z., & Hayden, E. (2017). A brief mindfulness practice increases self-reported calmness in young children: A pilot study. //Mindfulness, 8//(4), 1088-1095. https://doi.org/10.1007/s12671-017-0685-2
Bruggink, A., Huisman, S., Vuijk, R., Kraaij, V., & Garnefski, N. (2016). Cognitive emotion regulation, anxiety and depression in adults with autism spectrum disorder. //Research in Autism Spectrum Disorders, 22//, 34-44. https://doi.org/10.1016/j.rasd.2015.11.003
Schauder, K.B., Mash, L.E., Bryant, L.K., & Cascio, C.J. (2015). Interoceptive ability and body awareness in autism spectrum disorder. //Journal of Experimental Child Psychology, 131//, 193-200. https://doi.org/10.1016/j.jecp.2014.11.002
Maisel, M.E., Stephenson, K.G., South, M., Rodgers, J., Freeston, M.H., & Gaigg, S.B. (2016). Modeling the cognitive mechanisms linking autism symptoms and anxiety in adults. //Journal of Abnormal Psychology, 125//(5), 692-703. https://doi.org/10.1037/abn0000168
Srivastava, M., Gupta, A., Talukdar, U., Kalra, B.P., & Lahan, V. (2011). Effect of parental training in managing the behavioral problems of early childhood. //Indian Journal of Pediatrics, 78//(8), 973-978. https://doi.org/10.1007/s12098-011-0401-5
van de Weijer-Bergsma, E., Langenberg, G., Brandsma, R., Oort, F.J., & Bogels, S.M. (2014). The effectiveness of a school-based mindfulness training as a program to prevent stress in elementary school children. //Mindfulness, 5//(3), 238-248. https://doi.org/10.1007/s12671-012-0171-9
Coholic, D.A., & Eys, M. (2016). Benefits of an arts-based mindfulness group intervention for vulnerable children. //Child and Adolescent Social Work Journal, 33//(1), 1-13. https://doi.org/10.1007/s10560-015-0431-3
Laurent, H.K., Duncan, L.G., Lightcap, A., & Khan, F. (2017). Mindful parenting predicts mothers' and infants' hypothalamic-pituitary-adrenal activity during a dyadic stressor. //Developmental Psychology, 53//(3), 417-424. https://doi.org/10.1037/dev0000258
Haydicky, J., Shecter, C., Wiener, J., & Ducharme, J.M. (2015). Evaluation of MBCT for adolescents with ADHD and their parents: Impact on individual and family functioning. //Journal of Child and Family Studies, 24//(1), 76-94. https://doi.org/10.1007/s10826-013-9815-1
Miller, J.G., Kahle, S., Lopez, M., & Hastings, P.D. (2015). Compassionate love buffers stress-reactive mothers from fight-or-flight parenting. //Developmental Psychology, 51//(1), 36-43. https://doi.org/10.1037/a0038236
McCaffrey, S., Reitman, D., & Black, R. (2017). Mindfulness in parenting questionnaire (MIPQ): Development and validation of a measure of mindful parenting. //Mindfulness, 8//(1), 232-246. https://doi.org/10.1007/s12671-016-0596-7
Burke, K., & Moore, S. (2015). Development of the parental psychological flexibility questionnaire. //Child Psychiatry & Human Development, 46//(4). https://doi.org/10.1007/s10578-014-0495-x
Dawe, S., & Harnett, P. (2007). Reducing potential for child abuse among methadone-maintained parents: Results from a randomized controlled trial. //Journal of Substance Abuse Treatment, 32//(4), 381-390. https://doi.org/10.1016/j.jsat.2006.10.003
Lim, X., & Qu, L. (2017). The effect of single-session mindfulness training on preschool children's attentional control. //Mindfulness, 8//(2), 300-310. https://doi.org/10.1007/s12671-016-0600-2
Wakefield, C.E., Sansom-Daly, U.M., McGill, B.C., McCarthy, M., Girgis, A., Grootenhuis, M., ... & Cohn, R.J. (2015). Online parent-targeted cognitive-behavioural therapy intervention to improve quality of life in families of young cancer survivors: Study protocol for a randomised controlled trial. //Trials, 16//. https://doi.org/10.1186/s13063-015-0681-6
Poehlmann-Tynan, J., Vigna, A.B., Weymouth, L.A., Gerstein, E.D., Burnson, C., Zabransky, M., ... & Zahn-Waxler, C. (2016). A pilot study of contemplative practices with economically disadvantaged preschoolers: Children's empathic and self-regulatory behaviors. //Mindfulness, 7//(1), 46-58. https://doi.org/10.1007/s12671-015-0426-3
Miklosi, M., Szabo, M., & Simon, L. (2017). The role of mindfulness in the relationship between perceived parenting, early maladaptive schemata and parental sense of competence. //Mindfulness, 8//(2), 471-480. https://doi.org/10.1007/s12671-016-0619-4
Bazzano, A., Wolfe, C., Zylowska, L., Wang, S., Schuster, E., Barrett, C., ... & Lehrer, D. (2015). Mindfulness based stress reduction (MBSR) for parents and caregivers of individuals with developmental disabilities: A community-based approach. //Journal of Child and Family Studies, 24//(2), 298-308. https://doi.org/10.1007/s10826-013-9836-9
Christensen, M.C., Wright, R.L., & Dunn, J. (2015). Navigating the concepts of gender and violence with young children. //Journal of Family Social Work, 18//(3), 202-221. https://doi.org/10.1080/10522158.2015.1048494
Benn, R., Akiva, T., Arel, S., & Roeser, R.W. (2012). Mindfulness training effects for parents and educators of children with special needs. //Developmental Psychology, 48//(5), 1476-1487. https://doi.org/10.1037/a0027537
Steiner, N.J., Sidhu, T.K., Pop, P.G., Frenette, E.C., & Perrin, E.C. (2013). Yoga in an urban school for children with emotional and behavioral disorders: A feasibility study. //Journal of Child and Family Studies, 22//(6), 815-826. https://doi.org/10.1007/s10826-012-9636-7
Andreotti, E., Antoine, P., Hanafi, M., Michaud, L., & Gottrand, F. (2017). Pilot mindfulness intervention for children born with esophageal atresia and their parents. //Journal of Child and Family Studies, 26//(5), 1432-1444. https://doi.org/10.1007/s10826-017-0657-0
Bogels, S., Hoogstad, B., van Dun, L., de Schutter, S., & Restifo, K. (2008). Mindfulness training for adolescents with externalizing disorders and their parents. //Behavioural and Cognitive Psychotherapy, 36//(2), 193-209. https://doi.org/10.1017/S1352465808004190
Brassell, A.A., Rosenberg, E., Parent, J., Rough, J.N., Fondacaro, K., & Seehuus, M. (2016). Parent's psychological flexibility: Associations with parenting and child psychosocial well-being. //Journal of Contextual Behavioral Science, 5//(2), 111-120. https://doi.org/10.1016/j.jcbs.2016.03.001
Eames, C., Crane, R., Gold, E., & Pratt, S. (2015). Mindfulness-based wellbeing for socio-economically disadvantaged parents: A pre-post pilot study. //Journal of Childrens Services, 10//(1), 17-28. https://doi.org/10.1108/JCS-09-2014-0040
Kelly, A., & Barnes-Holmes, D. (2013). Implicit attitudes towards children with autism versus normally developing children as predictors of professional burnout and psychopathology. //Research in Developmental Disabilities, 34//(1), 17-28. https://doi.org/10.1016/j.ridd.2012.07.018
Tak, Y.R., Van Zundert, R.M.P., Kleinjan, M., & Engels, R.C.M.E. (2015). Mindful parenting and adolescent depressive symptoms: The few associations are moderated by adolescent gender and parental depressive symptoms. //Mindfulness, 6//(4). https://doi.org/10.1007/s12671-014-0324-0
Pat-Horenczyk, R., Shi, C.S.W., Schramm-Yavin, S., Bar-Halpern, M., & Tan, L.J. (2015). Building emotion and affect regulation (BEAR): Preliminary evidence from an open trial in children's residential group homes in Singapore. //Child & Youth Care Forum, 44//(2), 175-190. https://doi.org/10.1007/s10566-014-9276-8
Short, V.L., Gannon, M., Weingarten, W., Kaltenbach, K., LaNoue, M., & Abatemarco, D.J. (2017). Reducing stress among mothers in drug treatment: A description of a mindfulness based parenting intervention. //Maternal and Child Health Journal, 21//(6), 1377-1386. https://doi.org/10.1007/s10995-016-2244-1
Alhusen, J.L., Norris-Shortle, C., Cosgrove, K., & Marks, L. (2017). I'm opening my arms rather than pushing away: Perceived benefits of a mindfulness-based intervention among homeless women and young children. //Infant Mental Health Journal, 38//(3), 434-442. https://doi.org/10.1002/imhj.21641
Townshend, K. (2016). Conceptualizing the key processes of mindful parenting and its application to youth mental health. //Australasian Psychiatry, 24//(6), 575-577. https://doi.org/10.1177/1039856216654392
Crescentini, C., Capurso, V., Furlan, S., & Fabbro, F. (2016). Mindfulness-oriented meditation for primary school children: Effects on attention and psychological well-being. //Frontiers in Psychology, 7//, 805. https://doi.org/10.3389/fpsyg.2016.00805
Lloyd, T., & Hastings, R.P. (2008). Psychological variables as correlates of adjustment in mothers of children with intellectual disabilities: Cross-sectional and longitudinal relationships. //Journal of Intellectual Disability Research, 52//, 37-48. https://doi.org/10.1111/j.1365-2788.2007.00974.x
MacDonald, E.E., Hastings, R.P., & Fitzsimons, E. (2010). Psychological acceptance mediates the impact of the behaviour problems of children with intellectual disability on fathers' psychological adjustment. //Journal of Applied Research in Intellectual Disabilities, 23//(1), 27-37. https://doi.org/10.1111/j.1468-3148.2009.00546.x
Duncan, L.G., Coatsworth, J.D., & Greenberg, M.T. (2009). Pilot study to gauge acceptability of a mindfulness-based, family-focused preventive intervention. //Journal of Primary Prevention, 30//(5), 605-618. https://doi.org/10.1007/s10935-009-0185-9
Emley, E.A., Taylor, M.B., & Musher-Eizenman, D.R. (2017). Mindful feeding and child dietary health. //Eating Behaviors, 24//, 89-94. https://doi.org/10.1016/j.eatbeh.2016.12.002
Roberts, A., LoCasale-Crouch, J., Hamre, B., & DeCoster, J. (2016). Exploring teachers' depressive symptoms, interaction quality, and children's social-emotional development in head start. //Early Education and Development, 27//(5), 642-654. https://doi.org/10.1080/10409289.2016.1127088
Yarosh, S., & Schueller, S.M. (2017). Happiness inventors: Informing positive computing technologies through participatory design with children. //Journal of Medical Internet Research, 19//(1). https://doi.org/10.2196/jmir.6822
Miller, C.J., & Brooker, B. (2017). Mindfulness programming for parents and teachers of children with ADHD. //Complementary Therapies in Clinical Practice, 28//, 108-115. https://doi.org/10.1016/j.ctcp.2017.05.015
Lunsky, Y., Hastings, R.P., Weiss, J.A., Palucka, A.M., Hutton, S., & White, K. (2017). Comparative effects of mindfulness and support and information group interventions for parents of adults with autism spectrum disorder and other developmental disabilities. //Journal of Autism and Developmental Disorders, 47//(6), 1769-1779. https://doi.org/10.1007/s10803-017-3099-z
Foster, L., Dunn, W., & Lawson, L.M. (2013). Coaching mothers of children with autism: A qualitative study for occupational therapy practice. //Physical & Occupational Therapy in Pediatrics, 33//(2), 253-263. https://doi.org/10.3109/01942638.2012.747581
Bailie, C., Kuyken, W., & Sonnenberg, S. (2012). The experiences of parents in mindfulness-based cognitive therapy. //Clinical Child Psychology and Psychiatry, 17//(1), 103-119. https://doi.org/10.1177/1359104510392296
Gurney-Smith, B., Downing, P., Kidd, K., & McMillin, R. (2017). 'minding the gap': Developing mindfulness for adoption. //Adoption and Fostering, 41//(2), 110-119. https://doi.org/10.1177/0308575917702829
Mullins, J.L. (2011). A framework for cultivating and increasing child welfare workers' empathy toward parents. //Journal of Social Service Research, 37//(3), 242-253. https://doi.org/10.1080/01488376.2011.564030
Modesto-Lowe, V., Chaplin, M., Godsay, V., & Soovajian, V. (2014). Parenting teens with attention-deficit/hyperactivity disorder: Challenges and opportunities. //Clinical Pediatrics, 53//(10), 943-948. https://doi.org/10.1177/0009922814540984
Roberts, L.R., & Neece, C.L. (2015). Feasibility of mindfulness-based stress reduction intervention for parents of children with developmental delays. //Issues in Mental Health Nursing, 36//(8), 592-602. https://doi.org/10.3109/01612840.2015.1017063
Wahler, R.G., Singh, J., & Singh, N.N. (2009). Parents' autobiographical narratives: Setting events for their contemplation of mindful changes. //Journal of Child and Family Studies, 18//(5), 520-529. https://doi.org/10.1007/s10826-008-9254-6
Dumas, J.E. (2005). Mindfulness-based parent training: Strategies to lessen the grip of automaticity in families with disruptive children. //Journal of Clinical Child and Adolescent Psychology, 34//(4), 779-791. https://doi.org/10.1207/s15374424jccp3404_20
Hudziak, J., & Archangeli, C. (2017). The future of preschool prevention, assessment, and intervention. //Child and Adolescent Psychiatric Clinics of North America, 26//(3), 611-+. https://doi.org/10.1016/j.chc.2017.02.010
Diamond, A. (2012). Activities and programs that improve children's executive functions. //Current Directions in Psychological Science, 21//(5), 335-341. https://doi.org/10.1177/0963721412453722
Crnic, K.A., Neece, C.L., McIntyre, L.L., Blacher, J., & Baker, B.L. (2017). Intellectual disability and developmental risk: Promoting intervention to improve child and family well-being. //Child Development, 88//(2), 436-445. https://doi.org/10.1111/cdev.12740
Potharst, E.S., Aktar, E., Rexwinkel, M., Rigterink, M., & Bogels, S.M. (2017). Mindful with your baby: Feasibility, acceptability, and effects of a mindful parenting group training for mothers and their babies in a mental health context. //Mindfulness, 8//(5), 1236-1250. https://doi.org/10.1007/s12671-017-0699-9
Sizoo, B.B., & Kuiper, E. (2017). Cognitive behavioural therapy and mindfulness based stress reduction may be equally effective in reducing anxiety and depression in adults with autism spectrum disorders. //Research in Developmental Disabilities, 64//, 47-55. https://doi.org/10.1016/j.ridd.2017.03.004
Meppelink, R., de Bruin, E.I., & Bogels, S.M. (2016). Meditation or medication? mindfulness training versus medication in the treatment of childhood adhd: A randomized controlled trial. //BMC Psychiatry, 16//. https://doi.org/10.1186/s12888-016-0978-3
Minor, H.G., Carlson, L.E., Mackenzie, M.J., Zernicke, K., & Jones, L. (2006). Evaluation of a mindfulness-based stress reduction (MBSR) program for caregivers of children with chronic, conditions. //Social Work in health care, 43//(1), 91-109. https://doi.org/10.1300/J010v43n01_06
Fischer, T.D., Smout, M.F., & Delfabbro, P.H. (2016). The relationship between psychological flexibility, early maladaptive schemas, perceived parenting and psychopathology. //Journal of Contextual Behavioral Science, 5//(3), 169-177. https://doi.org/10.1016/j.jcbs.2016.06.002
Spain, D., Sin, J., Chalder, T., Murphy, D., & Happe, F. (2015). Cognitive Behaviour Therapy for adults with autism spectrum disorders and psychiatric co-morbidity: A review. //Research in Autism Spectrum Disorders, 9//, 151-162. https://doi.org/10.1016/j.rasd.2014.10.019
Dove, C., & Costello, S. (2017). Supporting emotional well-being in schools: A pilot study into the efficacy of a mindfulness-based group intervention on anxious and depressive symptoms in children. //Advances in Mental Health, 15//(2), 172-182. https://doi.org/10.1080/18387357.2016.1275717
Singh, N.N., Lancioni, G.E., Winton, A.S.W., Singh, J., Singh, A.N., Adkins, A.D., ... & Wahler, R.G. (2010). Training in mindful caregiving transfers to parent-child interactions. //Journal of Child and Family Studies, 19//(2), 167-174. https://doi.org/10.1007/s10826-009-9267-9
de Bruin, E.I., Zijlstra, B.J.H., Geurtzen, N., van Zundert, R.M.P., van de Weijer-Bergsma, E., Hartman, E.E., ... & Bogels, S.M. (2014). Mindful Parenting Assessed Further: Psychometric Properties of the Dutch Version of the Interpersonal Mindfulness in Parenting Scale (IM-P). //Mindfulness, 5//(2), 200-212. https://doi.org/10.1007/s12671-012-0168-4
Knol, L.L., Myers, H.H., Black, S., Robinson, D., Awololo, Y., Clark, D., ... & Higginbotham, J.C. (2016). Development and feasibility of a childhood obesity prevention program for rural families: Application of the social cognitive theory. //American Journal of Health Education, 47//(4), 204-214. https://doi.org/10.1080/19325037.2016.1179607
Healey, D.M., Rajendran, K., O'Neill, S., Gopin, C.B., & Halperin, J.M. (2016). The interplay among temperament, neuropsychological abilities, and global functioning in young hyperactive/inattentive children. //British Journal of Developmental Psychology, 34//(3), 354-370. https://doi.org/10.1111/bjdp.12134
Razza, R.A., Bergen-Cico, D., & Raymond, K. (2015). Enhancing preschoolers' self-regulation via mindful yoga. //Journal of Child and Family Studies, 24//(2), 372-385. https://doi.org/10.1007/s10826-013-9847-6
Martin, S., Wolters, P.L., Toledo-Tamula, M.A., Schmitt, S.N., Baldwin, A., Starosta, A., ... & Widemann, B. (2016). Acceptance and commitment therapy in youth with neurofibromatosis type 1 (NF1) and chronic pain and their parents: A pilot study of feasibility and preliminary efficacy. //American Journal of Medical Genetics Part a, 170//(6), 1462-1470. https://doi.org/10.1002/ajmg.a.37623
Eyberg, S.M., & Graham-Pole, J.R. (2005). Mindfulness and behavioral parent training: Commentary. //Journal of Clinical Child and Adolescent Psychology, 34//(4), 792-794. https://doi.org/10.1207/s15374424jccp3404_21
Perry-Parrish, C., Copeland-Linder, N., Webb, L., & Sibinga, E.M.S. (2016). Mindfulness-based approaches for children and youth. //Current Problems in Pediatric and Adolescent Health Care, 46//(6), 172-178. https://doi.org/10.1016/j.cppeds.2015.12.006
Flook, L., Goldberg, S.B., Pinger, L., & Davidson, R.J. (2015). Promoting prosocial behavior and self-regulatory skills in preschool children through a mindfulness-based kindness curriculum. //Developmental Psychology, 51//(1), 44-51. https://doi.org/10.1037/a0038256
Becker, B.D., Patterson, F., Fagan, J.S., & Whitaker, R.C. (2016). Mindfulness among home visitors in head start and the quality of their working alliance with parents. //Journal of Child and Family Studies, 25//(6), 1969-1979. https://doi.org/10.1007/s10826-015-0352-y
Tylka, T.L., Eneli, I.U., Van Diest, A.M.K., & Lumeng, J.C. (2013). Which adaptive maternal eating behaviors predict child feeding practices? an examination with mothers of 2- to 5-year-old children. //Eating Behaviors, 14//(1), 57-63. https://doi.org/10.1016/j.eatbeh.2012.10.014
de Bruin, E.I., Zijlstra, B.J.H., & Bogels, S.M. (2014). The meaning of mindfulness in children and adolescents: Further validation of the child and adolescent mindfulness measure (CAMM) in two independent samples from the netherlands. //Mindfulness, 5//(4), 422-430. https://doi.org/10.1007/s12671-013-0196-8
Spek, A.A., van Ham, N.C., & Nyklicek, I. (2013). Mindfulness-based therapy in adults with an autism spectrum disorder: A randomized controlled trial. //Research in Developmental Disabilities, 34//(1), 246-253. https://doi.org/10.1016/j.ridd.2012.08.009
Haydicky, J., Wiener, J., & Shecter, C. (2017). Mechanisms of action in concurrent parent-child mindfulness training: A qualitative exploration. //Mindfulness, 8//(4), 1018-1035. https://doi.org/10.1007/s12671-017-0678-1
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
[img[tps94.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Liu, S., Qiu, G., & Louie, W. (2017). Use of mindfulness sitting meditation in Chinese American women in treatment of cancer. //Integrative Cancer Therapies, 16//(1), 110-117. https://doi.org/10.1177/1534735416649661
Kahn, J.H., Wei, M.F., Su, J.C., Han, S.J., & Strojewska, A. (2017). Distress disclosure and psychological functioning among Taiwanese nationals and European Americans: The moderating roles of mindfulness and nationality. //Journal of Counseling Psychology, 64//(3), 292-301. https://doi.org/10.1037/cou0000202
Nejad, K.K., Sugiura, M., Thyreau, B., Nozawa, T., Kotozaki, Y., Furusawa, Y., ... & Kawashima, R. (2014). Spinal fMRI of interoceptive attention/awareness in experts and novices. //Neural Plasticity, 2014//, 679509. https://doi.org/10.1155/2014/679509
Korterink, J.J., Ockeloen, L.E., Hilbink, M., Benninga, M.A., & Deckers-Kocken, J.M. (2016). Yoga therapy for abdominal pain-related functional gastrointestinal disorders in children: A randomized controlled trial. //Journal of Pediatric Gastroenterology and Nutrition, 63//(5), 481-487. https://doi.org/10.1097/MPG.0000000000001230
Chang, D.F., Hung, T., Ng, N., Ling, A., Chen, T., Cao, Y.P., ... & Zhang, Y.L. (2016). Taoist cognitive therapy: Treatment of generalized anxiety disorder in a Chinese immigrant woman. //Asian American Journal of Psychology, 7//(3), 205-216. https://doi.org/10.1037/aap0000052
Buttram, M.E., & Kurtz, S.P. (2017). A qualitative study of African American/black MSM’s experiences of participating in a substance use and sexual risk reduction intervention. //American Journal of Mens Health, 11//(4), 1155-1161. https://doi.org/10.1177/1557988315584157
Lo, H.H.M., Ng, S.M., Chan, C.L.W., Lam, K.F., & Lau, B.H.P. (2013). The Chinese medicine construct "stagnation" in mind-body connection mediates the effects of mindfulness training on depression and anxiety. //Complementary Therapies in Medicine, 21//(4), 348-357. https://doi.org/10.1016/j.ctim.2013.05.008
Hearn, J.H., Cotter, I., Fine, P., & Finlay, K.A. (2015). Living with chronic neuropathic pain after spinal cord injury: An interpretative phenomenological analysis of community experience. //Disability and Rehabilitation, 37//(23). https://doi.org/10.3109/09638288.2014.1002579
Curtis, K., Hitzig, S.L., Bechsgaard, G., Stoliker, C., Alton, C., Saunders, N., ... & Katz, J. (2017). Evaluation of a specialized yoga program for persons with a spinal cord injury: A pilot randomized controlled trial. //Journal of Pain research, 10//, 999-1017. https://doi.org/10.2147/JPR.S130530
Tebbet, M., & Kennedy, P. (2012). The experience of childbirth for women with spinal cord injuries: An interpretative phenomenology analysis study. //Disability and Rehabilitation, 34//(9), 762-769. https://doi.org/10.3109/09638288.2011.619619
Hearn, J.H., Finlay, K.A., & Fine, P.A. (2016). The devil in the corner: A mixed-methods study of metaphor use by those with spinal cord injury-specific neuropathic pain. //British Journal of Health Psychology, 21//(4), 973-988. https://doi.org/10.1111/bjhp.12211
Wong, A.W.S., & Chen, E.Y.H. (2015). Psychometric properties of translated outcome measures of cognitive behavioural therapy for psychosis in the Chinese context. //Asian Journal of Psychiatry, 13//, 62-65. https://doi.org/10.1016/j.ajp.2014.09.005
Zhang, C.Q., Chung, P.K., Si, G.Y., & Liu, J.D. (2014). Psychometric properties of the Acceptance and Action Questionnaire-II for Chinese college students and elite Chinese athletes. //Measurement and Evaluation in Counseling and Development, 47//(4), 256-270. https://doi.org/10.1177/0748175614538064
Hocaloski, S., Elliott, S., Brotto, L.A., Breckon, E., & McBride, K. (2016). A mindfulness psychoeducational group intervention targeting sexual adjustment for women with multiple sclerosis and spinal cord injury: A pilot study. //Sexuality and Disability, 34//(2), 183-198. https://doi.org/10.1007/s11195-016-9426-z
Yang, K.P., & Wu, X.J. (2009). Spiritual intelligence of nurses in two Chinese social systems: A cross-sectional comparison study. //Journal of Nursing Research, 17//(3), 189-198. https://doi.org/10.1097/JNR.0b013e3181b2556c
Chan, H.L., Lo, L.Y., Lin, M., & Thompson, N. (2016). Revalidation of the Cognitive and Affective Mindfulness Scale — Revised (CAMS-R) with its newly developed Chinese version (Ch-CAMS-R). //Journal of Pacific Rim Psychology, 10//. https://doi.org/10.1017/prp.2015.4
Deng, Y.Q., Li, S., Tang, Y.Y., Zhu, L.H., Ryan, R., & Brown, K. (2012). Psychometric properties of the Chinese translation of the mindful attention awareness scale (MAAS). //Mindfulness, 3//(1), 10-14. https://doi.org/10.1007/s12671-011-0074-1
Leung, G.S.M., & Khor, S.H. (2017). Gestalt intervention groups for anxious parents in Hong Kong: A quasi-experimental design. //Journal of Evidence-informed Social Work, 14//(3), 183-200. https://doi.org/10.1080/23761407.2017.1311814
Tiwari, A., Chan, C.L.W., Ho, R.T.H., Tsao, G.S.W., Deng, W., Hong, A.W.L., ... & Ma, J.L.C. (2014). Effect of a qigong intervention program on telomerase activity and psychological stress in abused Chinese women: A randomized, wait-list controlled trial. //BMC Complementary and Alternative Medicine, 14//, 300. https://doi.org/10.1186/1472-6882-14-300
Zeng, X.L., Li, M.D., Zhang, B., & Liu, X.P. (2015). Revision of the Philadelphia Mindfulness Scale for measuring awareness and equanimity in Goenka’s vipassana meditation with Chinese buddhists. //Journal of Religion & Health, 54//(2), 623-637. https://doi.org/10.1007/s10943-014-9870-y
Draeger-Muenke, R. (2015). Functional abdominal pain: "Get" the function, loose the pain. //American Journal of Clinical Hypnosis, 58//(1), 34-62. https://doi.org/10.1080/00029157.2015.1031208
Chen, S.Y., & Zhou, R.L. (2014). Validation of a Chinese version of the Freiburg Mindfulness Inventory-short version. //Mindfulness, 5//(5), 529-535. https://doi.org/10.1007/s12671-013-0208-8
Taylor, V.A., Chang, L.K., Rainville, P., & Roy, M. (2017). Learned expectations and uncertainty facilitate pain during classical conditioning. //Pain, 158//(8), 1528-1537. https://doi.org/10.1097/j.pain.0000000000000948
Shi, M., Wang, X.X., Bian, Y.G., & Wang, L. (2015). The mediating role of resilience in the relationship between stress and life satisfaction among Chinese medical students: A cross-sectional study. //BMC Medical Education, 15//, 16. https://doi.org/10.1186/s12909-015-0297-2
Ditrich, T. (2016). Buddhism between Asia and Europe: The concept of mindfulness through a historical lens. //Asian Studies-azijske Studije, 4//(1), 197-213. https://doi.org/10.4312/as.2016.4.1.197-213
Hidajat, M., Zimmer, Z., Saito, Y., & Lin, H.S. (2013). Religious activity, life expectancy, and disability-free life expectancy in Taiwan. //European Journal of Ageing, 10//(3), 229-236. https://doi.org/10.1007/s10433-013-0273-9
Hou, J., Wong, S.Y.S., Lo, H.H.M., Mak, W.W.S., & Ma, H.S.W. (2014). Validation of a Chinese version of the Five Facet Mindfulness Questionnaire in Hong Kong and development of a short form. //Assessment, 21//(3), 363-371. https://doi.org/10.1177/1073191113485121
Loo, J.M.Y., Tsai, J.S., Raylu, N., & Oei, T.P.S. (2014). Gratitude, hope, mindfulness and personal-growth initiative: Buffers or risk factors for problem gambling?. //PLOS ONE, 9//(2), e83889. https://doi.org/10.1371/journal.pone.0083889
Cuellar, N.G. (2008). Mindfulness meditation for veterans-Implications for occupational health providers. //AAOHN Journal, 56//(8), 357-363. https://doi.org/10.1177%2F216507990805600806
Chien, W.T., & Lee, I.Y.M. (2013). The mindfulness-based psychoeducation program for Chinese patients with schizophrenia. //Psychiatric Services, 64//(4), 376-379. https://doi.org/10.1176/appi.ps.002092012
Wong, S.Y.S., Mak, W.W.S., Cheung, E.Y.L., Ling, C.Y.M., Lui, W.W.S., Tang, W.K., ... & Ma, H.S.W. (2011). A randomized, controlled clinical trial: The effect of mindfulness-based cognitive therapy on generalized anxiety disorder among Chinese community patients: Protocol for a randomized trial. //BMC Psychiatry, 11//, 187. https://doi.org/10.1186/1471-244X-11-187
Moore, S.D., Brody, L.R., & Dierberger, A.E. (2009). Mindfulness and experiential avoidance as predictors and outcomes of the narrative emotional disclosure task. //Journal of Clinical Psychology, 65//(9), 971-988. https://doi.org/10.1002/jclp.20600
Tan, J.F., Lo, P.C., Ge, N., & Chu, C.J. (2016). Self-esteem mediates the relationship between mindfulness and social anxiety among chinese undergraduate students. //Social Behavior and Personality, 44//(8), 1297-1304. https://doi.org/10.2224/sbp.2016.44.8.1297
Zhang, J.Y., Zhou, Y.Q., Feng, Z.W., Fan, Y.N., & Zeng, G.C. (2017). Randomized controlled trial of mindfulness-based stress reduction (MBSR) on posttraumatic growth of Chinese breast cancer survivors. //Psychology Health & Medicine, 22//(1), 94-109. https://doi.org/10.1080/13548506.2016.1146405
Hindman, R.K., Glass, C.R., Arnkoff, D.B., & Maron, D.D. (2015). A comparison of formal and informal mindfulness programs for stress reduction in university students. //Mindfulness, 6//(4), 873-NA. https://doi.org/10.1007/s12671-014-0331-1
[img[tps95.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Bormann, J.E., Oman, D., Walter, K.H., & Johnson, B.D. (2014). Mindful attention increases and mediates psychological outcomes following mantram repetition practice in veterans with posttraumatic stress disorder. //Medical Care, 52//(12), S13-S18. https://doi.org/10.1097/MLR.0000000000000200
Bormann, J.E., Liu, L., Thorp, S.R., & Lang, A.J. (2012). Spiritual wellbeing mediates PTSD change in veterans with military-related PTSD. //International Journal of Behavioral Medicine, 19//(4), 496-502. https://doi.org/10.1007/s12529-011-9186-1
King, A.P., Block, S.R., Sripada, R.K., Rauchs, S.A.M., Porter, K.E., Favorite, T.K., ... & Liberzon, I. (2016).A pilot study of mindfulness-based exposure therapy in OEF/OIF combat veterans with PTSD: Altered medial frontal cortex and amygdala responses in social–emotional processing. //Frontiers in Psychiatry, 7//, 154. https://doi.org/10.3389/fpsyt.2016.00154
Pradhan, B., Gray, R., Parikh, T., Akkireddi, P., & Pumariega, A. (2015). Trauma Interventions using Mindfulness Based Extinction and Reconsolidation (TIMBER©) as Monotherapy for Chronic PTSD: A Pilot Study. //Adolescent Psychiatry, 5//(2), 125-131. https://doi.org/10.2174/221067660502150430155038
Kearney, D.J., Simpson, T.L., Malte, C.A., Felleman, B., Martinez, M.E., & Hunt, S.C. (2016). Mindfulness-based stress reduction in addition to usual care is associated with improvements in pain, fatigue, and cognitive failures among veterans with Gulf War illness. //American Journal of Medicine, 129//(2), 204-214. https://doi.org/10.1016/j.amjmed.2015.09.015
Polusny, M.A., Erbes, C.R., Thuras, P., Moran, A., Lamberty, G.J., Collins, R.C., ... & Lim, K.O. (2015). Mindfulness-based stress reduction for posttraumatic stress disorder among veterans a randomized clinical trial. //JAMA: Journal of the American Medical Association, 314//(5), 456-465. https://doi.org/10.1001/jama.2015.8361
Felleman, B.I., Stewart, D.G., Simpson, T.L., Heppner, P.S., & Kearney, D.J. (2016). Predictors of depression and PTSD Treatment response among veterans participating in mindfulness-based stress reduction. //Mindfulness, 7//(4), 886-895. https://doi.org/10.1007/s12671-016-0527-7
Oman, D., & Bormann, J.E. (2015). Mantram repetition fosters self-efficacy in veterans for managing PTSD: A randomized trial. //Psychology of Religion and Spirituality, 7//(1), 34-45. https://doi.org/10.1037/a0037994
Bussing, A., Walach, H., Kohls, N., Zimmermann, F., & Trousselard, M. (2013). Conscious presence and self control as a measure of situational awareness in soldiers - a validation study. //International Journal of Mental Health Systems, 7//. https://doi.org/10.1186/1752-4458-7-1
Bremner, J.D., Mishra, S., Campanella, C., Shah, M., Kasher, N., Evans, S., ... & Carmody, J. (2017). A pilot study of the effects of mindfulness-based stress reduction on post-traumatic stress disorder symptoms and brain response to traumatic reminders of combat in operation enduring freedom/operation Iraqi freedom combat veterans with post-traumatic stress disorder. //Frontiers in Psychiatry, 8//, 157. https://doi.org/10.3389/fpsyt.2017.00157
King, A.P., Block, S.R., Sripada, R.K., Rauch, S., Giardino, N., Favorite, T., ... & Liberzon, I. (2016). Altered default mode network (DMN) resting state functional connectivity following a mindfulness-based exposure therapy for posttraumatic stress disorder (PTSD) in combat veterans of Afghanistan and Iraq. //Depression and Anxiety, 33//(4), 289-299. https://doi.org/10.1002/da.22481
Bormann, J.E., Thorp, S.R., Wetherell, J.L., Golshan, S., & Lang, A.J. (2013). Meditation-based mantram intervention for veterans with posttraumatic stress disorder: A randomized trial. //Psychological Trauma: Theory, Research, Practice and Policy, 5//(3), 259-267. https://doi.org/10.1037/a0027522
Bergen-Cico, D., Possemato, K., & Pigeon, W. (2014). Reductions in cortisol associated with primary care brief mindfulness program for veterans with PTSD. //Medical Care, 52//(12), S25-S31. https://doi.org/10.1097/MLR.0000000000000224
Shipherd, J.C., Salters-Pedneault, K., & Fordiani, J. (2016). Evaluating postdeployment training for coping with intrusive cognition: A comparison of training approaches. //Journal of Consulting and Clinical Psychology, 84//(11), 960-971. https://doi.org/10.1037/ccp0000136
King, A.P., Erickson, T.M., Giardino, N.D., Favorite, T., Rauch, S.A.M., Robinson, E., ... & Liberzon, I. (2013). A pilot study of group mindfulness-based cognitive therapy (MBCT) for combat veterans with posttraumatic stress disorder (PTSD). //Depression and Anxiety, 30//(7), 638-645. https://doi.org/10.1002/da.22104
Gallegos, A.M., Cross, W., & Pigeon, W.R. (2015). Mindfulness-based stress reduction for veterans exposed to military sexual trauma: Rationale and implementation considerations. //Military Medicine, 180//(6), 684-689. https://doi.org/10.7205/MILMED-D-14-00448
Basharpoor, S., Shafiei, M., & Daneshvar, S. (2015). The comparison of experimental avoidance, mindfulness and rumination in trauma-exposed individuals with and without posttraumatic stress disorder (PTSD) in an Iranian sample. //Archives of Psychiatric Nursing, 29//(5), 279-283. https://doi.org/10.1016/j.apnu.2015.05.004
Martinez, M.E., Kearney, D.J., Simpson, T., Felleman, B.I., Bernardi, N., & Sayre, G. (2015). Challenges to enrollment and participation in mindfulness-based stress reduction among veterans: A qualitative study. //Journal of Alternative and Complementary Medicine, 21//(7), 409-421. https://doi.org/10.1089/acm.2014.0324
Beck, D., Holt, L.C., Burkard, J., Andrews, T., Liu, L., Heppner, P., ... & Bormann, J.E. (2017). Efficacy of the mantram repetition program for insomnia in veterans with posttraumatic stress disorder a naturalistic study. //Advances in Nursing Science, 40//(2), E1-E12. https://doi.org/10.1097/ANS.0000000000000144
Niles, B.L., Vujanovic, A.A., Silberbogen, A.K., Seligowski, A.V., & Potter, C.M. (2013). Changes in mindfulness following a mindfulness telehealth intervention. //Mindfulness, 4//(4), 301-310. https://doi.org/10.1007/s12671-012-0130-5
Dahm, K.A., Meyer, E.C., Neff, K.D., Kimbrel, N.A., Gulliver, S.B., & Morissette, S.B. (2015). Mindfulness, self-compassion, posttraumatic stress disorder symptoms, and functional disability in us Iraq and Afghanistan war veterans. //Journal of Traumatic Stress, 28//(5), 460-NA. https://doi.org/10.1002/jts.22045
Kim, S.H., Schneider, S.M., Bevans, M., Kravitz, L., Mermier, C., Qualls, C., ... & Burge, M.R. (2013). PTSD symptom reduction with mindfulness-based stretching and deep breathing exercise: Randomized controlled clinical trial of efficacy. //Journal of Clinical Endocrinology & Metabolism, 98//(7), 2984-2992. https://doi.org/10.1210/jc.2012-3742
Colgan, D.D., Christopher, M., Michael, P., & Wahbeh, H. (2016). The body scan and mindful breathing among veterans with PTSD: Type of intervention moderates the relationship between changes in mindfulness and post-treatment depression. //Mindfulness, 7//(2), 372-383. https://doi.org/10.1007/s12671-015-0453-0
Northcut, T.B., & Kienow, A. (2014). The trauma trifecta of military sexual trauma: A case study illustrating the integration of mind and body in clinical work with survivors of MST. //Clinical Social Work Journal, 42//(3), 247-259. https://doi.org/10.1007/s10615-014-0479-0
Gonzalez, A., Locicero, B., Mahaffey, B., Fleming, C., Harris, J., & Vujanovic, A.A. (2016). Internalized HIV stigma and mindfulness associations with PTSD symptom severity in trauma-exposed adults With HIV/AIDS. //Behavior Modification, 40//(42737), 144-163. https://doi.org/10.1177/0145445515615354
Pigeon, W., Allen, C., Possemato, K., Bergen-Cico, D., & Treatman, S. (2015). Feasibility and acceptability of a brief mindfulness program for veterans in primary care with posttraumatic stress disorder. //Mindfulness, 6//(5),986–995. https://doi.org/10.1007/s12671-014-0340-0
Muller-Engelmann, M., Wunsch, S., Volk, M., & Steil, R. (2017). Mindfulness-based stress reduction (MBSR) as a standalone intervention for posttraumatic stress disorder after mixed traumatic events: A mixed-methods feasibility study. //Frontiers in Psychology, 8//, 1407. https://doi.org/10.3389/fpsyg.2017.01407
Luedtke, B., Davis, L., & Monson, C. (2015). Mindfulness-based cognitive-behavioral conjoint therapy for posttraumatic stress disorder: A case study. //Journal of Contemporary Psychotherapy, 45//(4), 227-234. https://doi.org/10.1007/s10879-015-9298-z
Seppala, E.M., Nitschke, J.B., Tudorascu, D.L., Hayes, A., Goldstein, M.R., Nguyen, D.T.H., ... & Davidson, R.J. (2014). Breathing-based meditation decreases posttraumatic stress disorder symptoms in US military veterans: A randomized controlled longitudinal study. //Journal of Traumatic Stress, 27//(4), 397-405. https://doi.org/10.1002/jts.21936
Stephenson, K.R., Simpson, T.L., Martinez, M.E., & Kearney, D.J. (2017). Changes in mindfulness and posttraumatic stress disorder symptoms among veterans enrolled in mindfulness-based stress reduction. //Journal of Clinical Psychology, 73//(3), 201-217. https://doi.org/10.1002/jclp.22323
Owens, G.P., Walter, K.H., Chard, K.M., & Davis, P.A. (2012). Changes in mindfulness skills and treatment response among veterans in residential PTSD treatment. //Psychological Trauma: Theory, Research, Practice and Policy, 4//(2), 221-228. https://doi.org/10.1037/a0024251
Wahbeh, H., Goodrich, E., Goy, E., & Oken, B.S. (2016). Mechanistic pathways of mindfulness meditation in combat veterans with posttraumatic stress disorder. //Journal of Clinical Psychology, 72//(4), 365-383. https://doi.org/10.1002/jclp.22255
Kahn, J.R., Collinge, W., & Soltysik, R. (2016). Post-9/11 veterans and their partners improve mental health outcomes with a self-directed mobile and web-based wellness training program: A randomized controlled trial. //Journal of Medical Internet Research, 18//(9). https://doi.org/10.2196/jmir.5800
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2013). Effects of participation in a mindfulness program for veterans with posttraumatic stress disorder: A randomized controlled pilot study. //Journal of Clinical Psychology, 69//(1), 14-27. https://doi.org/10.1002/jclp.21911
Heffner, K.L., Crean, H.F., & Kemp, J.E. (2016). Meditation programs for veterans with posttraumatic stress disorder: Aggregate findings from a multi-site evaluation. //Psychological Trauma: Theory, Research, Practice and Policy, 8//(3), 365-374. https://doi.org/10.1037/tra0000106
Rapgay, L., Ross, J.L., Petersen, O., Izquierdo, C., Harms, M., Hawa, S., ... & Couper, G. (2014). A proposed protocol integrating classical mindfulness with prolonged exposure therapy to treat posttraumatic stress disorder. //Mindfulness, 5//(6), 742-755. https://doi.org/10.1007/s12671-013-0231-9
Hoffart, A., Oktedalen, T., & Langkaas, T.F. (2015). Self-compassion influences PTSD symptoms in the process of change in trauma-focused cognitive-behavioral therapies: A study of within-person processes. //Frontiers in Psychology, 6//, 1273. https://doi.org/10.3389/fpsg.2015.01273
Swick, D., Honzel, N., & Turken, U. (2015). Intact error monitoring in combat veterans with post-traumatic stress disorder. //Psychiatry Research-neuroimaging, 234//(2), 227-238. https://doi.org/10.1016/j.pscychresns.2015.09.016
Buttner, M.M., Bormann, J.E., Weingart, K., Andrews, T., Ferguson, M., & Afari, N. (2016). Multi-site evaluation of a complementary, spiritually-based intervention for veterans: The mantram repetition program. //Complementary Therapies in Clinical Practice, 22//, 74-79. https://doi.org/10.1016/j.ctcp.2015.12.008
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Weinrich, S.P., Bormann, J.E., Glaser, D., Hardin, S., Barger, M., Lizarraga, C., ... & Allard, C.B. (2016). Mantram repetition with homeless women a pilot study. //Holistic Nursing Practice, 30//(6), 360-367. https://doi.org/10.1097/HNP.0000000000000138
Call, D., Pitcock, J., & Pyne, J. (2015). Longitudinal evaluation of the relationship between mindfulness, general distress, anxiety, and PTSD in a recently deployed national guard sample. //Mindfulness, 6//(6),1303–1312. https://doi.org/10.1007/s12671-015-0400-0
Wimalawansa, S.J. (2014). Mechanisms of developing post-traumatic stress disorder: New targets for drug development and other potential interventions. //CNS & Neurological Disorders-drug Targets, 13//(5), 807-816. https://doi.org/10.2174/1871527313666140711091026
Walser, R.D., Garvert, D.W., Karlin, B.E., Trockel, M., Ryu, D.M., & Taylor, C.B. (2015). Effectiveness of acceptance and commitment therapy in treating depression and suicidal ideation in veterans. //Behaviour Research and Therapy, 74//, 25-31. https://doi.org/10.1016/j.brat.2015.08.012
Kelly, M.M., Sido, H., Forsyth, J.P., Ziedonis, D.M., Kalman, D., & Cooney, J.L. (2015). Acceptance and commitment therapy smoking cessation treatment for veterans with posttraumatic stress disorder: A pilot study. //Journal of Dual Diagnosis, 11//(1), 50-55. https://doi.org/10.1080/15504263.2014.992201
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2012). Association of participation in a mindfulness program with measures of PTSD, depression and quality of life in a veteran sample. //Journal of Clinical Psychology, 68//(1), 101-116. https://doi.org/10.1002/jclp.20853
Boden, M.T., Bernstein, A., Walser, R.D., Bui, L., Alvarez, J., & Bonn-Miller, M.O. (2012). Changes in facets of mindfulness and posttraumatic stress disorder treatment outcome. //Psychiatry Research, 200//(42769), 609-613. https://doi.org/10.1016/j.psychres.2012.07.011
Vujanovic, A.A., Niles, B., Pietrefesa, A., Schmertz, S.K., & Potter, C.M. (2011). Mindfulness in the treatment of posttraumatic stress disorder among military veterans. //Professional Psychology-research and Practice, 42//(1), 24-31. https://doi.org/10.1037/a0022272
Pradhan, B., D'Amico, J.K., Makani, R., & Parikh, T. (2016). Nonconventional interventions for chronic post-traumatic stress disorder: Ketamine, repetitive trans-cranial magnetic stimulation (RTMS), and alternative approaches. //Journal of Trauma & Dissociation, 17//(1), 35-54. https://doi.org/10.1080/15299732.2015.1046101
van der Kolk, B.A., Stone, L., West, J., Rhodes, A., Emerson, D., Suvak, M., ... & Spinazzola, J. (2014). Yoga as an adjunctive treatment for posttraumatic stress disorder: A randomized controlled trial. //Journal of Clinical Psychiatry, 75//(6), E559-E565. https://doi.org/10.4088/JCP.13m08561
Stanton, M.V., Matsuura, J., Fairchild, J.K., Lohnberg, J.A., & Bayley, P.J. (2016). Mindfulness as a weight loss treatment for veterans. //Frontiers in Nutrition, 3//, 30. https://doi.org/10.3389/fnut.2016.00030
Smith, K., Firth, K., Smeeding, S., Wolever, R., Kaufman, J., Delgado, R., ... & Xenalcis, L. (2016). Guidelines for creating, implementing, and evaluating mind-body programs in a military healthcare setting. //Explore: The Journal of Science and Healing, 12//(1), 18-33. https://doi.org/10.1016/j.explore.2015.10.002
Nakamura, Y., Lipschitz, D.L., Donaldson, G.W., Kida, Y., Williams, S.L., Landward, R., ... & Tuteja, A.K. (2017). Investigating clinical benefits of a novel sleep-focused mind-body program on Gulf War illness symptoms: A randomized controlled trial. //Psychosomatic Medicine, 79//(6), 706-718. https://doi.org/10.1097/PSY.0000000000000469
Bormann, J.E., & Carrico, A.W. (2009). Increases in positive reappraisal coping during a group-based mantram intervention mediate sustained reductions in anger in HIV-positive persons. //International Journal of Behavioral Medicine, 16//(1), 74-80. https://doi.org/10.1007/s12529-008-9007-3
Nakamura, Y., Lipschitz, D.L., Landward, R., Kuhn, R., & West, G. (2011). Two sessions of sleep-focused mind-body bridging improve self-reported symptoms of sleep and PTSD in veterans: A pilot randomized controlled trial. //Journal of Psychosomatic Research, 70//(4), 335-345. https://doi.org/10.1016/j.jpsychores.2010.09.007
Carlson, K.J., Silva, S.G., Langley, J., & Johnson, C. (2013). Mindful-veteran: The implementation of a brief stress reduction course. //Complementary Therapies in Clinical Practice, 19//(2), 89-96. https://doi.org/10.1016/j.ctcp.2012.12.003
Kline, A., Chesin, M., Latorre, M., Miller, R., St Hill, L., Shcherbakov, A., ... & Interian, A. (2016). Rationale and study design of a trial of mindfulness-based cognitive therapy for preventing suicidal behavior (MBCT-S) in military veterans. //Contemporary Clinical Trials, 50//, 245-252. https://doi.org/10.1016/j.cct.2016.08.015
Hull, A., Holliday, S.B., Eickhoff, C., Rose-Boyce, M., Sullivan, P., & Reinhard, M. (2015). The Integrative Health and Wellness Program: Development and use of a complementary and alternative medicine clinic for veterans. //Alternative Therapies in Health and Medicine, 21//(6), 12-21. https://www.ncbi.nlm.nih.gov/pubmed/26567446
Cloitre, M., Courtois, C.A., Charuvastra, A., Carapezza, R., Stolbach, B.C., & Green, B.L. (2011). Treatment of complex PTSD: Results of the ISTSS expert clinician survey on best practices. //Journal of Traumatic Stress, 24//(6), 615-627. https://doi.org/10.1002/jts.20697
Kuhl, M., & Boyraz, G. (2017). Mindfulness, general trust, and social support among trauma-exposed college students. //Journal of Loss & Trauma, 22//(2), 150-162. https://doi.org/10.1080/15325024.2016.1212610
Zimmermann, F. (2015). Mindfulness-based practices as a resource for health and well-being. //Medical Acupuncture, 27//(5), 349-359. https://doi.org/10.1089/acu.2014.1080
Jansen, J.E., & Morris, E.M.J. (2017). Acceptance and commitment therapy for posttraumatic stress disorder in early psychosis: A case series. //Cognitive and Behavioral Practice, 24//(2), 187-199. https://doi.org/10.1016/j.cbpra.2016.04.003
Walser, R.D., Karlin, B.E., Trockel, M., Mazina, B., & Taylor, C.B. (2013). Training in and implementation of acceptance and commitment therapy for depression in the veterans health administration: Therapist and patient outcomes. //Behaviour Research and Therapy, 51//(9), 555-563. https://doi.org/10.1016/j.brat.2013.05.009
Lee, D.J., Witte, T.K., Weathers, F.W., & Davis, M.T. (2015). Emotion regulation strategy use and posttraumatic stress disorder: Associations between multiple strategies and specific symptom clusters. //Journal of Psychopathology and Behavioral Assessment, 37//(3), 533-544. https://doi.org/10.1007/s10862-014-9477-3
Kearney, D.J., Malte, C.A., McManus, C., Martinez, M.E., Felleman, B., & Simpson, T.L. (2013). Loving-kindness meditation for posttraumatic stress disorder: A pilot study. //Journal of Traumatic Stress, 26//(4), 426-434. https://doi.org/10.1002/jts.21832
Bormann, J.E., Walter, K.H., Leary, S., & Glaser, D. (2017). An internet-delivered mantram repetition program for spiritual well-being and mindfulness for health care workers. //Spirituality in Clinical Practice, 4//(1), 64-73. https://doi.org/10.1037/scp0000118
Thompson, R.W., Arnkoff, D.B., & Glass, C.R. (2011). Conceptualizing mindfulness and acceptance as components of psychological resilience to trauma. //Trauma Violence & Abuse, 12//(4), 220-235. https://doi.org/10.1177/1524838011416375
Rhodes, A., Spinazzola, J., & van der Kolk, B. (2016). Yoga for adult women with chronic PTSD: A long-term follow-up study. //Journal of Alternative and Complementary Medicine, 22//(3), 189-196. https://doi.org/10.1089/acm.2014.0407
Price, C.J., McBride, B., Hyerle, L., & Kivlahan, D.R. (2007). Mindful awareness in body-oriented therapy for female veterans with post-traumatic stress disorder taking prescription analgesics for chronic pain: A feasibility study. //Alternative Therapies in Health and Medicine, 13//(6), 32-40. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037268/
Vrana, C., Killeen, T., Brant, V., Mastrogiovanni, J., & Baker, N.L. (2017). Rationale, design, and implementation of a clinical trial of a mindfulness based relapse prevention protocol for the treatment of women with comorbid post traumatic stress disorder and substance use disorder. //Contemporary Clinical Trials, 61//, 108-114. https://doi.org/10.1016/j.cct.2017.07.024
Rothschild, S., Kaplan, G., Golan, T., & Barak, Y. (2017). Mindfulness meditation in the Israel defense forces: Effect on cognition and satisfaction with life-a randomized controlled trial. //European Journal of Integrative Medicine, 10//, 71-74. https://doi.org/10.1016/j.eujim.2017.01.010
Trousselard, M., Dutheil, F., Ferrer, M.H., Babouraj, N., & Canini, F. (2015). Tactics to optimize the potential and cardiobiofeedback in stress management: The French experience. //Medical Acupuncture, 27//(5), 367-375. https://doi.org/10.1089/acu.2014.1052
Dick, A.M., Niles, B.L., Street, A.E., DiMartino, D.M., & Mitchell, K.S. (2014). Examining mechanisms of change in a yoga intervention for women: The influence of mindfulness, psychological flexibility, and emotion regulation on PTSD symptoms. //Journal of Clinical Psychology, 70//(12), 1170-1182. https://doi.org/10.1002/jclp.22104
Reber, C.A.S., Boden, M.T., Mitragotri, N., Alvarez, J., Gross, J.J., & Bonn-Miller, M.O. (2013). A prospective investigation of mindfulness skills and changes in emotion regulation among military veterans in posttraumatic stress disorder treatment. //Mindfulness, 4//(4), 311-317. https://doi.org/10.1007/s12671-012-0131-4
Schoorl, M., Van Mil-Klinkenberg, L., & Van Der Does, W. (2015). Mindfulness skills, anxiety sensitivity, and cognitive reactivity in patients with posttraumatic stress disorder. //Mindfulness, 6//(5), 1004-1011. https://doi.org/10.1007/s12671-014-0346-7
Lang, A.J., Strauss, J.L., Bomyea, J., Bormann, J.E., Hickman, S.D., Good, R.C., ... & Essex, M. (2012). The theoretical and empirical basis for meditation as an intervention for PTSD. //Behavior Modification, 36//(6), 759-786. https://doi.org/10.1177/0145445512441200
Frewen, P., Rogers, N., Flodrowski, L., & Lanius, R. (2015). Mindfulness and metta-based trauma therapy (MMTT): Initial development and proof-of-concept of an internet resource. //Mindfulness, 6//(6). https://doi.org/10.1007/s12671-015-0402-y
Roy, M.J., Costanzo, M.E., Highland, K.B., Olsen, C., Clayborne, D., & Law, W. (2017). An app a day keeps the doctor away: Guided education and training via smartphones in subthreshold post traumatic stress disorder. //Cyberpsychology Behavior and Social Networking, 20//(8), 470-478. https://doi.org/10.1089/cyber.2017.0221
Niles, B.L., Mori, D.L., Polizzi, C.P., Kaiser, A.P., Ledoux, A.M., & Wang, C.C. (2016). Feasibility, qualitative findings and satisfaction of a brief Tai Chi mind-body programme for veterans with post-traumatic stress symptoms. //BMJ Open, 6//(11). https://doi.org/10.1136/bmjopen-2016-012464
Lewis, G.F., Hourani, L., Tueller, S., Kizakevich, P., Bryant, S., Weimer, B., ... & Strange, L. (2015). Relaxation training assisted by heart rate variability biofeedback: Implication for a military predeployment stress inoculation protocol. //Psychophysiology, 52//(9). https://doi.org/10.1111/psyp.12455
[img[tps96.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Ledesma, R.D., Montes, S.A., Poo, F.M., & Lopez-Ramon, M.F. (2010). Individual differences in driver inattention: The attention-related driving errors scale. //Traffic Injury Prevention, 11//(2), 142-150. https://doi.org/10.1080/15389580903497139
Qu, W.N., Ge, Y., Zhang, Q., Zhao, W.G., & Zhang, K. (2015). Assessing dangerous driving behavior during driving inattention: Psychometric adaptation and validation of the attention-related driving errors scale in China. //Accident Analysis and Prevention, 80//, 172-177. https://doi.org/10.1016/j.aap.2015.04.009
Cheyne, J.A., Carriere, J.S.A., & Smilek, D. (2006). Absent-mindedness: Lapses of conscious awareness and everyday cognitive failures. //Consciousness and Cognition, 15//(3), 578-592. https://doi.org/10.1016/j.concog.2005.11.009
Buetow, S., Kiata, L., Liew, T., Kenealy, T., Dovey, S., & Elwyn, G. (2009). Patient error: A preliminary taxonomy. //Annals of Family Medicine, 7//(3), 223-231. https://doi.org/10.1370/afm.941
Jha, A.P., Morrison, A.B., Dainer-Best, J., Parker, S., Rostrup, N., & Stanley, E.A. (2015). Minds "at attention": Mindfulness training curbs attentional lapses in military cohorts. //PLOS ONE, 10//(2). https://doi.org/10.1371/journal.pone.0116889
Qu, W.N., Zhang, H.H., Zhao, W.G., Zhang, K., & Ge, Y. (2016). The effect of cognitive errors, mindfulness and personality traits on pedestrian behavior in a chinese sample. //Transportation Research Part F: Traffic Psychology and Behaviour, 41//, 29-37. https://doi.org/10.1016/j.trf.2016.06.009
Maharaj, A. (2013). Yogic Mindfulness: Hariharānanda Āraṇya’s Quasi-Buddhistic Interpretation of Smṛti in Patañjali’s Yogasūtra I.20. //Journal of Indian Philosophy, 41//(1), 57-78. https://doi.org/10.1007/s10781-013-9174-7
Carriere, J.S.A., Cheyne, J.A., & Smilek, D. (2008). Everyday attention lapses and memory failures: The affective consequences of mindlessness. //Consciousness and Cognition, 17//(3), 835-847. https://doi.org/10.1016/j.concog.2007.04.008
Tarrasch, R., Berman, Z., & Friedmann, N. (2016). Mindful reading: Mindfulness meditation helps keep readers with dyslexia and ADHD on the lexical track. //Frontiers in Psychology, 7//, 578. https://doi.org/10.3389/fpsyg.2016.00578
Burdett, B.R.D., Charlton, S.G., & Starkey, N.J. (2016). Not all minds wander equally: The influence of traits, states and road environment factors on self-reported mind wandering during everyday driving. //Accident Analysis and Prevention, 95//, 1-7. https://doi.org/10.1016/j.aap.2016.06.012
Valero-Mora, P., Pareja, I., Pons, D., Sanchez, M., Montes, S.A., & Ledesma, R.D. (2015). Mindfulness, inattention and performance in a driving simulator. //IET Intelligent Transport Systems, 9//(7), 690-NA. https://doi.org/10.1049/iet-its.2014.0172
Terry, C.P., & Terry, D.L. (2015). Cell phone-related near accidents among young drivers: Associations with mindfulness. //Journal of Psychology, 149//(7), 665-683. https://doi.org/10.1080/00223980.2014.964166
Eichel, K., & Stahl, J. (2017). The role of mindfulness and emotional stability in error detection. //Mindfulness, 8//(2), 311-324. https://doi.org/10.1007/s12671-016-0601-1
Kontogiannis, T., & Malakis, S. (2009). A proactive approach to human error detection and identification in aviation and air traffic control. //Safety Science, 47//(5), 693-706. https://doi.org/10.1016/j.ssci.2008.09.007
Larson, M.J., Steffen, P.R., & Primosch, M. (2013). The impact of a brief mindfulness meditation intervention on cognitive control and error-related performance monitoring. //Frontiers in Human Neuroscience, 7//, 308. https://doi.org/10.3389/fnhum.2013.00308
Saunders, B., Rodrigo, A.H., & Inzlicht, M. (2016). Mindful awareness of feelings increases neural performance monitoring. //Cognitive Affective & Behavioral Neuroscience, 16//(1), 93-105. https://doi.org/10.3758/s13415-015-0375-2
Cardena, E., Sjostedt, J.O.A., & Marcusson-Clavertz, D. (2015). Sustained attention and motivation in Zen meditators and non-meditators. //Mindfulness, 6//(5), 1082-1087. https://doi.org/10.1007/s12671-014-0357-4
Durham, M.L., Suhayda, R., Normand, P., Jankiewicz, A., & Fogg, L. (2016). Reducing Medication Administration Errors in Acute and Critical Care: Multifaceted Pilot Program Targeting RN Awareness and Behaviors. //Journal of Nursing Administration, 46//(2), 75-81. https://doi.org/10.1097/NNA.0000000000000299
[img[tps97.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Kiran, U., Ladha, S., Makhija, N., Kapoor, P.M., Choudhury, M., Das, S., ... & Airan, B. (2017). The role of Rajyoga meditation for modulation of anxiety and serum cortisol in patients undergoing coronary artery bypass surgery: A prospective randomized control study. //Annals of Cardiac Anaesthesia, 20//(2), 158-162. https://doi.org/10.4103/aca.ACA_32_17
Sonntag-Ostrom, E., Nordin, M., Dolling, A., Lundell, Y., Nilsson, L., & Jarvholm, L.S. (2015). Can rehabilitation in boreal forests help recovery from exhaustion disorder? The randomised clinical trial ForRest. //Scandinavian Journal of Forest Research, 30//(8), 732-748. https://doi.org/10.1080/02827581.2015.1046482
Lee, J., Song, Y., Lindquist, R., Yoo, Y., Park, E., Lim, S., ... & Mathiason, M.A. (2017). Nontraditional cardiac rehabilitation in Korean patients with coronary artery disease. //Rehabilitation Nursing, 42//(4), 191-198. https://doi.org/10.1002/rnj.268
Bjornsdottir, S.V., Arnljotsdottir, M., Tomasson, G., Triebel, J., & Valdimarsdottir, U.A. (2016). Health-related quality of life improvements among women with chronic pain: Comparison of two multidisciplinary interventions. //Disability and Rehabilitation, 38//(9), 828-836. https://doi.org/10.3109/09638288.2015.1061609
Kearney, D.J., McDermott, K., Martinez, M., & Simpson, T.L. (2011). Association of participation in a mindfulness programme with bowel symptoms, gastrointestinal symptom-specific anxiety and quality of life. //Alimentary Pharmacology & Therapeutics, 34//(3), 363-373. https://doi.org/10.1111/j.1365-2036.2011.04731.x
Sonntag-Ostrom, E., Nordin, M., Jarvholm, L.S., Lundell, Y., Brannstrom, R., & Dolling, A. (2011). Can the boreal forest be used for rehabilitation and recovery from stress-related exhaustion? A pilot study. //Scandinavian Journal of Forest Research, 26//(3), 245-256. https://doi.org/10.1080/02827581.2011.558521
Valikhani, A., & Goodarzi, M.A. (2017). Contingencies of self-worth and psychological distress in Iranian patients seeking cosmetic surgery: Integrative self-knowledge as mediator. //Aesthetic Plastic Surgery, 41//(4), 955-963. https://doi.org/10.1007/s00266-017-0853-8
Berrill, J.W., Sadlier, M., Hood, K., & Green, J.T. (2014). Mindfulness-based therapy for inflammatory bowel disease patients with functional abdominal symptoms or high perceived stress levels. //Journal of Crohns & Colitis, 8//(9), 945-955. https://doi.org/10.1016/j.crohns.2014.01.018
Hojskov, I.E., Moons, P., Hansen, N.V., La Cour, S., Olsen, P.S., Gluud, C., ... & Berg, S.K. (2017). SheppHeartCABG trial-comprehensive early rehabilitation after coronary artery bypass grafting: A protocol for a randomised clinical trial. //BMJ Open, 7//(1), e013038. https://doi.org/10.1136/bmjopen-2016-013038
Cauraugh, J.H., Martin, M., & Martin, K.K. (1999). Modeling surgical expertise for motor skill acquisition. //American Journal of Surgery, 177//(4), 331-336. https://doi.org/10.1016/S0002-9610(99)00057-4
Ballou, S., & Keefer, L. (2017). Psychological interventions for irritable bowel syndrome and inflammatory bowel diseases. //Clinical and Translational Gastroenterology, 8//, e214. https://doi.org/10.1038/ctg.2016.69
Thomas, M.A., Sadlier, M.J., & Smith, A.P. (2008). A multiconvergent approach to the rehabilitation of patients with chronic fatigue syndrome: A comparative study. //Physiotherapy, 94//(1), 35-42. https://doi.org/10.1016/j.physio.2007.04.013
Jedel, S., Hoffman, A., Merriman, P., Swanson, B., Voigt, R., Rajan, K.B., ... & Keshavarzian, A. (2014). A randomized controlled trial of mindfulness-based stress reduction to prevent flare-up in patients with inactive ulcerative colitis. //Digestion, 89//(2), 142-155. https://doi.org/10.1159/000356316
Schoultz, M., Atherton, I.M., Hubbard, G., & Watson, A.J.M. (2013). The use of mindfulness-based cognitive therapy for improving quality of life for inflammatory bowel disease patients: Study protocol for a pilot randomised controlled trial with embedded process evaluation. //Trials, 14//, 431. https://doi.org/10.1186/1745-6215-14-431
Schoultz, M., Atherton, I., & Watson, A. (2015). Mindfulness-based cognitive therapy for inflammatory bowel disease patients: Findings from an exploratory pilot randomised controlled trial. //Trials, 16//, 379. https://doi.org/10.1186/s13063-015-0909-5
Neilson, K., Ftanou, M., Monshat, K., Salzberg, M., Bell, S., Kamm, M.A., ... & Castle, D. (2016). A controlled study of a group mindfulness intervention for individuals living with inflammatory bowel disease. //Inflammatory Bowel Diseases, 22//(3), 694-701. https://doi.org/10.1097/MIB.0000000000000629
Edelman, D., Oddone, E.Z., Liebowitz, R.S., Yancy, W.S., Olsen, M.K., Jeffreys, A.S., ... & Gaudet, T.W. (2006). A multidimensional integrative medicine intervention to improve cardiovascular risk. //Journal of General Internal Medicine, 21//(7), 728-734. https://doi.org/10.1111/j.1525-1497.2006.0495.x
Nyklicek, I., Dijksman, S.C., Lenders, P.J., Fonteijn, W.A., & Koolen, J.J. (2014). A brief mindfulness based intervention for increase in emotional well-being and quality of life in percutaneous coronary intervention (PCI) patients: The mindfulheart randomized controlled trial. //Journal of Behavioral Medicine, 37//(1), 135-144. https://doi.org/10.1007/s10865-012-9475-4
Lucas, A.R., Focht, B.C., Cohn, D.E., Buckworth, J., & Klatt, M.D. (2017). A mindfulness-based lifestyle intervention for obese, inactive endometrial cancer survivors: A feasibility study. //Integrative Cancer Therapies, 16//(3), 263-275. https://doi.org/10.1177/1534735416668257
Griffiths, K., Camic, P.M., & Hutton, J.M. (2009). Participant experiences of a mindfulness-based cognitive therapy group for cardiac rehabilitation. //Journal of Health Psychology, 14//(5), 675-681. https://doi.org/10.1177/1359105309104911
Spatola, C.A.M., Manzoni, G.M., Castelnuovo, G., Malfatto, G., Facchini, M., Goodwin, C.L., ... & Molinari, E. (2014). The ACTonHEART study: rationale and design of a randomized controlled clinical trial comparing a brief intervention based on Acceptance and Commitment Therapy to usual secondary prevention care of coronary heart disease. //Health and Quality of Life Outcomes, 12//, 22. https://doi.org/10.1186/1477-7525-12-22
Jedel, S., Merriman, P., Hoffman, A., Swanson, B., Fogg, L.F., & Keshavarzian, A. (2013). Relationship of mindfulness, quality of life, and psychiatric symptoms among patients with ulcerative colitis. //Mindfulness, 4//(4), 296-300. https://doi.org/10.1007/s12671-012-0128-z
Parkin, L., Morgan, R., Rosselli, A., Howard, M., Sheppard, A., Evans, D., ... & Dunn, B. (2014). Exploring the relationship between mindfulness and cardiac perception. //Mindfulness, 5//(3), 298-313. https://doi.org/10.1007/s12671-012-0181-7
Jelenova, D., Prasko, J., Ociskova, M., Karaskova, E., Kolarova, J., Hunkova, M., ... & Mihal, V. (2016). Psychoeducation of adolescents with inflammatory bowel diseases and their families. //Activitas Nervosa Superior Rediviva, 58//(1), 33-39.
Burton, N.W., Pakenham, K.I., & Brown, W.J. (2009). Evaluating the effectiveness of psychosocial resilience training for heart health, and the added value of promoting physical activity: A cluster randomized trial of the ready program. //BMC Public Health, 9//, 427. https://doi.org/10.1186/1471-2458-9-427
Salmoirago-Blotcher, E., Wayne, P., Bock, B.C., Dunsiger, S., Wu, W.C., Stabile, L., ... & Yeh, G. (2015). Design and methods of the gentle cardiac rehabilitation study - A behavioral study of Tai Chi exercise for patients not attending cardiac rehabilitation. //Contemporary Clinical Trials, 43//, 243-251. https://doi.org/10.1016/j.cct.2015.06.020
Olivo, E.L., Dodson-Lavelle, B., Wren, A., Fang, Y.X., & Oz, M.C. (2009). Feasibility and effectiveness of a brief meditation-based stress management intervention for patients diagnosed with or at risk for coronary heart disease: A pilot study. //Psychology Health & Medicine, 14//(5), 513-523. https://doi.org/10.1080/13548500902890087
McCracken, L.M., & Yang, S.Y. (2008). A contextual cognitive-behavioral analysis of rehabilitation workers' health and well-being: Influences of acceptance, mindfulness, and values-based action. //Rehabilitation Psychology, 53//(4), 479-485. https://doi.org/10.1037/a0012854
Vos-Vromans, D.C.W.M., Smeets, R.J.E.M., Rijnders, L.J.M., Gorrissen, R.R.M., Pont, M., Koke, A.J.A., ... & Knottnerus, A.J. (2012). Cognitive behavioural therapy versus multidisciplinary rehabilitation treatment for patients with chronic fatigue syndrome: study protocol for a randomised controlled trial (FatiGo). //Trials, 13//, 137. https://doi.org/10.1186/1745-6215-13-71
[img[tps98.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Park, J., Lyles, R.H., & Bauer-Wu, S. (2014). Mindfulness meditation lowers muscle sympathetic nerve activity and blood pressure in African-American males with chronic kidney disease. //American Journal of Physiology-regulatory Integrative and Comparative Physiology, 307//(1), R93-R101. https://doi.org/10.1152/ajpregu.00558.2013
Hinton, D.E., Lewis-Fernandez, R., & Pollack, M.H. (2009). A model of the generation of //ataque de nervios//: The role of fear of negative affect and fear of arousal symptoms. //CNS Neuroscience & Therapeutics, 15//(3), 264-275. https://doi.org/10.1111/j.1755-5949.2009.00101.x
Manikandan, S., Nillni, Y.I., Zvolensky, M.J., Rohan, K.J., Carkeek, K.R., & Leyro, T.M. (2016). The role of emotion regulation in the experience of menstrual symptoms and perceived control over anxiety-related events across the menstrual cycle. //Archives of Women’s Mental Health, 19//(6), 1109-1117. https://doi.org/10.1007/s00737-016-0661-1
Garcia-Rodriguez, L.R., Sanchez, D.L., Ko, A.B., Williams, A.M., Peterson, E., & Yaremchuk, K.L. (2017). A study of otolaryngology resident quality of life and sleepiness. //Laryngoscope Investigative Otolaryngology, 2//(3), 113-118. https://doi.org/10.1002/lio2.69
Street, W.R. (1994). Attitude-behavior congruity, mindfulness, and self-focused attention - A behavior-analytic reconstruction. //Behavior Analyst, 17//(1), 145-153. https://doi.org/10.1007/BF03392660
Patil, S.V., & Tetlock, P.E. (2014). Punctuated incongruity: A new approach to managing trade-offs between conformity and deviation. //Research in Organizational Behavior, 34//, 155-171. https://doi.org/10.1016/j.riob.2014.08.002
Wise, E.H., Hersh, M.A., & Gibson, C.M. (2012). Ethics, self-care and well-being for psychologists: Reenvisioning the stress-distress continuum. //Professional Psychology-research and Practice, 43//(5), 487-494. https://doi.org/10.1037/a0029446
Blom, K., How, M., Dai, M., Baker, B., Irvine, J., Abbey, S., ... & Tobe, S.W. (2012). Hypertension analysis of stress reduction using mindfulness meditation and yoga (The HARMONY Study): Study protocol of a randomised control trial. //BMJ Open, 2//(2), e000848. https://doi.org/10.1136/bmjopen-2012-000848
Smith, E.L., Jones, F.W., Holttum, S., & Griffiths, K. (2015). The process of engaging in mindfulness-based cognitive therapy as a partnership: A grounded theory study. //Mindfulness, 6//(3), 455-466. https://doi.org/10.1007/s12671-014-0278-2
Di Benedetto, M., & Swadling, M. (2014). Burnout in Australian psychologists: Correlations with work-setting, mindfulness and self-care behaviours. //Psychology Health & Medicine, 19//(6), 705-715. https://doi.org/10.1080/13548506.2013.861602
Pierce, B., Bowden, B., McCullagh, M., Diehl, A., Chissell, Z., Rodriguez, R., ... & D'Adamo, C.R. (2017). A summer health program for African-American high school students in Baltimore, Maryland: Community partnership for integrative health. //Explore: The Journal of Science and Healing, 13//(3), 186-197. https://doi.org/10.1016/j.explore.2017.02.002
Blom, K., Baker, B., How, M., Dai, M., Irvine, J., Abbey, S., ... & Tobe, S.W. (2014). Hypertension analysis of stress reduction using mindfulness meditation and yoga: Results from the harmony randomized controlled trial. //American Journal of Hypertension, 27//(1), 122-129. https://doi.org/10.1093/ajh/hpt134
Kjell, O.N.E., Daukantaite, D., Hefferon, K., & Sikstrom, S. (2016). The harmony in life scale complements the satisfaction with life scale: Expanding the conceptualization of the cognitive component of subjective well-being. //Social Indicators Research, 126//(2), 893-919. https://doi.org/10.1007/s11205-015-0903-z
Sedlmeier, P., & Srinivas, K. (2016). How do theories of cognition and consciousness in ancient Indian thought systems relate to current Western theorizing and research?. //Frontiers in Psychology, 7//, 343. https://doi.org/10.3389/fpsyg.2016.00343
[img[tps99.jpg]]
<span style="color:red">//Note: Terms with beta greater than the Cutoff describe this topic.//</span>
Gervais, S.J., & Hoffman, L. (2013). Just think about it: Mindfulness, sexism, and prejudice toward feminists. //Sex Roles, 68//(5-6), 283-295. https://doi.org/10.1007/s11199-012-0241-4
Dutton, M.A., James, L., Langhorne, A., & Kelley, M. (2015). Coordinated public health initiatives to address violence against women and adolescents. //Journal of Women’s Health, 24//(1), 80-85. https://doi.org/10.1089/jwh.2014.4884
Shannon, P.J., Simmelink, J., Im, H., Becher, E., & Crook-Lyon, R.E. (2014). Exploring the experiences of survivor students in a course on trauma treatment. //Psychological Trauma: Theory, Research, Practice and Policy, 6//, S107-S115. https://doi.org/10.1037/a0032715
Dean, A.C., Kohno, M., Hellemann, G., & London, E.D. (2014). Childhood maltreatment and amygdala connectivity in methamphetamine dependence: A pilot study. //Brain and Behavior, 4//(6), 867-876. https://doi.org/10.1002/brb3.289
Ghahari, S., Khademolreza, N., Poya, F.S., Ghasemnejad, S., Gheitarani, B., & Pirmoradi, M.R. (2017). Effectiveness of mindfulness techniques in decreasing anxiety and depression in women victims of spouse abuse. //Asian Journal of Pharmaceutical Research and Health Care, 9//(1), 28-33. https://doi.org/10.18311/ajprhc/2017/7644
Shorey, R.C., Seavey, A.E., Quinn, E., & Cornelius, T.L. (2014). Partner-specific anger management as a mediator of the relation between mindfulness and female perpetrated dating violence. //Psychology of Violence, 4//(1), 51-64. https://doi.org/10.1037/a0033658
Lee, M.Y., Zaharlick, A., & Akers, D. (2017). Impact of meditation on mental health outcomes of female trauma survivors of interpersonal violence with co-occurring disorders: A randomized controlled trial. //Journal of Interpersonal Violence, 32//(14), 2139-2165. https://doi.org/10.1177/0886260515591277
Valdez, C.E., Sherrill, A.M., & Lilly, M. (2016). Present moment contact and nonjudgment: Pilot data on dismantling mindful awareness in trauma-related symptomatology. //Journal of Psychopathology and Behavioral Assessment, 38//(4), 572-581. https://doi.org/10.1007/s10862-016-9548-8
Zhou, Z.K., Liu, Q.Q., Niu, G.F., Sun, X.J., & Fan, C.Y. (2017). Bullying victimization and depression in Chinese children: A moderated mediation model of resilience and mindfulness. //Personality and Individual Differences, 104//, 137-142. https://doi.org/10.1016/j.paid.2016.07.040
Kelly, A., & Garland, E.L. (2016). Trauma‐informed mindfulness‐based stress reduction for female survivors of interpersonal violence: Results from a stage I RCT. //Journal of Clinical Psychology, 72//(4), 311-328. https://doi.org/10.1002/jclp.22273
Kroska, E.B., Miller, M.L., Roche, A.I., Kroska, S.K., & O'Hara, M.W. (2018). Effects of traumatic experiences on obsessive-compulsive and internalizing symptoms: The role of avoidance and mindfulness. //Journal of Affective Disorders, 225//, 326-336. https://doi.org/10.1016/j.jad.2017.08.039
Crowder, R. (2016). Mindfulness based feminist therapy: The intermingling edges of self-compassion and social justice. //Journal of Religion and Spirituality in Social Work, 35//(1-2), 24-40. https://doi.org/10.1080/15426432.2015.1080605
Riggs, N.R., & Brown, S.M. (2017). Prospective associations between peer victimization and dispositional mindfulness in early adolescence. //Prevention Science, 18//(4), 481-489. https://doi.org/10.1007/s11121-017-0750-z
Wolfsdorf, B.A., & Zlotnick, C. (2001). Affect management in group therapy for women with posttraumatic stress disorder and histories of childhood sexual abuse. //Journal of Clinical Psychology, 57//(2), 169-181. https://doi.org/10.1002/1097-4679(200102)57:2<169::AID-JCLP4>3.3.CO;2-S
Shorey, R.C., Zucosky, H., Brasfield, H., Febres, J., Cornelius, T.L., Sage, C., ... & Stuart, G.L. (2012). Dating violence prevention programming: Directions for future interventions. //Aggression and Violent Behavior, 17//(4), 289-296. https://doi.org/10.1016/j.avb.2012.03.001
Whitaker, R.C., Dearth-Wesley, T., Gooze, R.A., Becker, B.D., Gallagher, K.C., & McEwen, B.S. (2014). Adverse childhood experiences, dispositional mindfulness, and adult health. //Preventive Medicine, 67//, 147-153. https://doi.org/10.1016/j.ypmed.2014.07.029
Gouin, J.P., Caldwell, W., Woods, R., & Malarkey, W.B. (2017). Resilience resources moderate the association of adverse childhood experiences with adulthood inflammation. //Annals of Behavioral Medicine, 51//(5), 782-786. https://doi.org/10.1007/s12160-017-9891-3
Lane, S.D., Rubinstein, R.A., Bergen-Cico, D., Jennings-Bey, T., Fish, L.S., Larsen, D.A., ... & Robinson, J.A. (2017). Neighborhood trauma due to violence: A multilevel analysis. //Journal of Health Care for the Poor and Underserved, 28//(1), 446-462. https://doi.org/10.1353/hpu.2017.0033
Spurgas, A.K. (2016). Low desire, trauma and femininity in the DSM-5: A case for sequelae. //Psychology & Sexuality, 7//(1), 48-67. https://doi.org/10.1080/19419899.2015.1024471
Elices, M., Pascual, J.C., Carmona, C., Martin-Blanco, A., Feliu-Soler, A., Ruiz, E., ... & Soler, J. (2015). Exploring the relation between childhood trauma, temperamental traits and mindfulness in borderline personality disorder. //BMC Psychiatry, 15//, 180. https://doi.org/10.1186/s12888-015-0573-z
Kelly, A. (2015). Trauma-informed mindfulness-based stress reduction: A promising new model for working with survivors of interpersonal violence. //Smith College Studies in Social Work, 85//(2), 194-219. https://doi.org/10.1080/00377317.2015.1021191
Lord, S.A. (2013). Meditative dialogue: Cultivating compassion and empathy with survivors of complex childhood trauma. //Journal of Aggression Maltreatment & Trauma, 22//(9), 997-1014. https://doi.org/10.1080/10926771.2013.834018
Fruzzetti, A.E., & Levensky, E.R. (2000). Dialectical behavior therapy for domestic violence: Rationale and procedures. //Cognitive and Behavioral Practice, 7//(4), 435-447. https://doi.org/10.1016/S1077-7229(00)80055-3
Hagen, C., Lien, L., Hauff, E., & Heir, T. (2016). Is mindfulness protective against PTSD? A neurocognitive study of 25 tsunami disaster survivors. //Journal of Negative Results in Biomedicine, 15//, 13. https://doi.org/10.1186/s12952-016-0056-x
Tasso, A., Whitmarsh, L., & Ordway, A. (2016). Intimate partner violence within military families: Intervention guidelines for relational aggressors. //Family Journal, 24//(2), 114-121. https://doi.org/10.1177/1066480716628622
Northcut, T.B., & Kienow, A. (2014). The trauma trifecta of military sexual trauma: A case study illustrating the integration of mind and body in clinical work with survivors of MST. //Clinical Social Work Journal, 42//(3), 247-259. https://doi.org/10.1007/s10615-014-0479-0
Jaffe, A.E., Schreier, A., & DiLillo, D. (2017). Feasibility and initial evaluation of project peace: An intervention for college students at risk for dating violence. //Partner Abuse, 8//(3), 291-314. https://doi.org/10.1891/1946-6560.8.3.291
Palm, K.M., & Follette, V.M. (2011). The roles of cognitive flexibility and experiential avoidance in explaining psychological distress in survivors of interpersonal victimization. //Journal of Psychopathology and Behavioral Assessment, 33//(1), 79-86. https://doi.org/10.1007/s10862-010-9201-x
Valdez, C.E., & Lilly, M.M. (2016). Self-compassion and trauma processing outcomes among victims of violence. //Mindfulness, 7//(2), 329-339. https://doi.org/10.1007/s12671-015-0442-3
Tollefson, D.R., & Phillips, I. (2015). A mind-body bridging treatment program for domestic violence offenders: Program overview and evaluation results. //Journal of Family Violence, 30//(6), 783-794. https://doi.org/10.1007/s10896-015-9715-9
Perona-Garcelan, S., Garcia-Montes, J.M., Rodriguez-Testal, J.F., Lopez-Jimenez, A.M., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Benitez-Hernandez, M.D. (2014). Relationship between childhood trauma, mindfulness, and dissociation in subjects with and without hallucination proneness. //Journal of Trauma & Dissociation, 15//(1), 35-51. https://doi.org/10.1080/15299732.2013.821433
Levin, M.E., Luoma, J.B., Vilardaga, R., Lillis, J., Nobles, R., & Hayes, S.C. (2016). Examining the role of psychological inflexibility, perspective taking, and empathic concern in generalized prejudice. //Journal of Applied Social Psychology, 46//(3), 180-191. https://doi.org/10.1111/jasp.12355
Shorey, R.C., Stuart, G.L., Moore, T.M., & McNulty, J.K. (2014). The temporal relationship between alcohol, marijuana, angry affect, and dating violence perpetration: A daily diary study with female college students. //Psychology of Addictive Behaviors, 28//(2), 516-523. https://doi.org/10.1037/a0034648
Lee, M.Y., Zaharlick, A., & Akers, D. (2011). Meditation and treatment of female trauma survivors of interpersonal abuses: Utilizing clients' strengths. //Families in Society: The Journal of Contemporary Social Services, 92//(1), 41-49. https://doi.org/10.1606/1044-3894.4053
Hayes, S.C., Niccolls, R., Masuda, A., & Rye, A.K. (2002). Prejudice, terrorism, and behavior therapy. //Cognitive and Behavioral Practice, 9//(4), 296-301. https://doi.org/10.1016/S1077-7229(02)80023-2
Kenny, A., & Bizumic, B. (2016). Learn and act: Changing prejudice towards people with mental illness using stigma reduction interventions. //Journal of Contextual Behavioral Science, 5//(3), 178-185. https://doi.org/10.1016/j.jcbs.2016.06.004
Crowley, J.P., Harvey-Knowles, J.A., & Riggs, N.R. (2016). Message processes and their associations with adolescents' executive function and reports of bullying. //School Psychology International, 37//(1), 32-50. https://doi.org/10.1177/0143034315605574
West, J., Liang, B., & Spinazzola, J. (2017). Trauma sensitive yoga as a complementary treatment for posttraumatic stress disorder: A qualitative descriptive analysis. //International Journal of Stress Management, 24//(2), 173-195. https://doi.org/10.1037/str0000040
Michal, M., Beutel, M.E., Jordan, J., Zimmermann, M., Wolters, S., & Heidenreich, T. (2007). Depersonalization, mindfulness, and childhood trauma. //Journal of Nervous and Mental Disease, 195//(8), 693-696. https://doi.org/10.1097/NMD.0b013e3181f4492
Shannon, P.J., Simmelink-McCleary, J., Im, H., Becher, E., & Crook-Lyon, R.E. (2014). Experiences of stress in a trauma treatment course. //Journal of Social Work education, 50//(4), 678-693. https://doi.org/10.1080/10437797.2014.947901
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Sotelo, J.M., & Babcock, J.C. (2013). BIS/BAS Variables as moderators of the rumination-intimate partner violence link. //Journal of Family Violence, 28//(3), 233-242. https://doi.org/10.1007/s10896-013-9500-6
Demaso, D.R., Marcus, N.E., Kinnamon, C., & Gonzalez-Heydrich, J. (2006). Depression experience journal: A computer-based intervention for families facing childhood depression. //Journal of the American Academy of Child and Adolescent Psychiatry, 45//(2), 158-165. https://doi.org/10.1097/01.chi.0000190353.98570.fe
Chandler, G.E., Roberts, S.J., & Chiodo, L. (2015). Resilience intervention for young adults with adverse childhood experiences. //Journal of the American Psychiatric Nurses Association, 21//(6). https://doi.org/10.1177/1078390315620609
Bethell, C., Gombojav, N., Solloway, M., & Wissow, L. (2016). Adverse childhood experiences, resilience and mindfulness-based approaches common denominator issues for children with emotional, mental, or behavioral problems. //Child and Adolescent Psychiatric Clinics of North America, 25//(2), 139-156. https://doi.org/10.1016/j.chc.2015.12.001
Langmuir, J.I., Kirsh, S.G., & Classen, C.C. (2012). A pilot study of body-oriented group psychotherapy: Adapting sensorimotor psychotherapy for the group treatment of trauma. //Psychological Trauma: Theory, Research, Practice and Policy, 4//(2), 214-220. https://doi.org/10.1037/a0025588
Gannon, M., Mackenzie, M., Kaltenbach, K., & Abatemarco, D. (2017). Impact of mindfulness-based parenting on women in treatment for opioid use disorder. //Journal of Addiction Medicine, 11//(5), 368-376. https://doi.org/10.1097/ADM.0000000000000336
Payne, P., & Crane-Godreau, M.A. (2015). The preparatory set: A novel approach to understanding stress, trauma, and the bodymind therapies. //Frontiers in Human Neuroscience, 9//, 178. https://doi.org/10.3389/fnhum.2015.00178
Duros, P., & Crowley, D. (2014). The body comes to therapy too. //Clinical Social Work Journal, 42//(3), 237-246. https://doi.org/10.1007/s10615-014-0486-1
Barnhofer, T., Brennan, K., Crane, C., Duggan, D., & Williams, J.M.G. (2014). A comparison of vulnerability factors in patients with persistent and remitting lifetime symptom course of depression. //Journal of Affective Disorders, 152//, 155-161. https://doi.org/10.1016/j.jad.2013.09.001
Soleimanpour, S., Geierstanger, S., & Brindis, C.D. (2017). Adverse childhood experiences and resilience: Addressing the unique needs of adolescents. //Academic Pediatrics, 17//(7), S108-S114. https://doi.org/10.1016/j.acap.2017.01.008
DePrince, A.P., & Shirk, S.R. (2013). Adapting cognitive-behavioral therapy for depressed adolescents exposed to interpersonal trauma: A case study with two teens. //Cognitive and Behavioral Practice, 20//(2), 189-201. https://doi.org/10.1016/j.cbpra.2012.07.001
Waelde, L.C., Thompson, J.M., Robinson, A., & Iwanicki, S. (2016). Trauma therapists' clinical applications, training, and personal practice of mindfulness and meditation. //Mindfulness, 7//(3), 622-629. https://doi.org/10.1007/s12671-016-0497-9
Crews, D.A., Stolz-Newton, M., & Grant, N.S. (2016). The use of yoga to build self-compassion as a healing method for survivors of sexual violence. //Journal of Religion and Spirituality in Social Work, 35//(3), 139-156. https://doi.org/10.1080/15426432.2015.1067583
Maitra, K. (2013). The questions of identity and agency in feminism without borders: A mindful response. //HYPATIA: A Journal of Feminist Philosophy, 28//(2), 360-376. https://doi.org/10.1111/hypa.12017
Jeter, W.K., & Brannon, L.A. (2017). The effect of mindfulness and implementation planning on the process of granting and seeking forgiveness among young adults. //Mindfulness, 8//(5), 1304-1318. https://doi.org/10.1007/s12671-017-0706-1
Wongtongkam, N., Day, A., Ward, P.R., & Winefield, A.H. (2015). The influence of mindfulness meditation on angry emotions and violent behavior on Thai technical college students. //European Journal of Integrative Medicine, 7//(2), 124-130. https://doi.org/10.1016/j.eujim.2014.10.007
Shannon, P.J., Simmelink-McCleary, J., Im, H., Becher, E., & Crook-Lyon, R.E. (2014). Developing self-care practices in a trauma treatment course. //Journal of Social Work education, 50//(3), 440-453. https://doi.org/10.1080/10437797.2014.917932
Wilson, D.R. (2010). Stress management for adult survivors of childhood sexual abuse: A holistic inquiry. //Western Journal of Nursing Research, 32//(1), 103-127. https://doi.org/10.1177/0193945909343703
Brunzell, T., Stokes, H., & Waters, L. (2016). Trauma-informed flexible learning: Classrooms that strengthen regulatory abilities. //International Journal of Child Youth & Family Studies, 7//(2), 218-239. https://doi.org/10.18357/ijcyfs72201615719
Frewen, P., Rogers, N., Flodrowski, L., & Lanius, R. (2015). Mindfulness and metta-based trauma therapy (MMTT): Initial development and proof-of-concept of an internet resource. //Mindfulness, 6//(6), 1322-1334. https://doi.org/10.1007/s12671-015-0402-y
Christensen, M.C., Wright, R.L., & Dunn, J. (2015). Navigating the concepts of gender and violence with young children. //Journal of Family Social Work, 18//(3), 202-221. https://doi.org/10.1080/10522158.2015.1048494
Hunsinger, M., Livingston, R., & Isbell, L. (2014). Spirituality and intergroup harmony: Meditation and racial prejudice. //Mindfulness, 5//(2), 139-144. https://doi.org/10.1007/s12671-012-0159-5
Price, C.J., & Thompson, E.A. (2007). Measuring dimensions of body connection: Body awareness and bodily dissociation. //Journal of Alternative and Complementary Medicine, 13//(9), 945-953. https://doi.org/10.1089/acm.2007.0537
Zhu, Z.H., Wang, R.C., Kao, H.S.R., Zong, Y., Liu, Z.K., Tang, S., ... & Lam, S.P.W. (2014). Effect of calligraphy training on hyperarousal symptoms for childhood survivors of the 2008 China earthquakes. //Neuropsychiatric Disease and Treatment, 10//, 977-985. https://doi.org/10.2147/NDT.S55016
Chen, L.I.L., Scott, N., & Benckendorff, P. (2017). Mindful tourist experiences: A Buddhist perspective. //Annals of Tourism Research, 64//, 1-12. https://doi.org/10.1016/j.annals.2017.01.013
Dutt, C., & Ninov, I. (2016). The role of mindfulness in tourism: Tourism businesses' perceptions of mindfulness in Dubai, UAE. //Tourism, 64//(1), 81-95.
Dutt, C., & Ninov, I. (2016). Tourists’ experiences of mindfulness in Dubai, United Arab Emirates (UAE). //Journal of Travel & Tourism Marketing, 33//(8), 1195-1212. https://doi.org/10.1080/10548408.2015.1107521
Kang, M., & Gretzel, U. (2012). Effects of podcast tours on tourist experiences in a national park. //Tourism Management, 33//(2), 440-455. https://doi.org/10.1016/j.tourman.2011.05.005
Law, R., & Ting, J. (2011). The impact of visitor behavior on the environmental protection of tourist farms in Guangdong. //Asia Pacific Journal of Tourism Research, 16//(3), 307-323. https://doi.org/10.1080/10941665.2011.573244
Legal, J.B., Meyer, T., Csillik, A., & Nicolas, P.A. (2016). Goal priming, public transportation habit and travel mode selection: The moderating role of trait mindfulness. //Transportation Research Part F: Traffic Psychology and Behaviour, 38//, 47-54. https://doi.org/10.1016/j.trf.2016.01.003
Manek, N.J. (2012). Symmetry states of the physical space: An expanded reference frame for understanding human consciousness. //Journal of Alternative and Complementary Medicine, 18//(1), 83-92. https://doi.org/10.1089/acm.2011.0604
Moscardo, G. (1996). Mindful visitors: Heritage and tourism. //Annals of Tourism Research, 23//(2), 376-397. https://doi.org/10.1016/0160-7383(95)00068-2
Moscardo, G. (2017). Exploring mindfulness and stories in tourist experiences. //International Journal of Culture Tourism and Hospitality Research, 11//(2), 111-124. https://doi.org/10.1108/IJCTHR-11-2016-0108
Nawijn, J. (2011). Determinants of daily happiness on vacation. //Journal of Travel Research, 50//(5), 559-566. https://doi.org/10.1177/0047287510379164
Pearce, P.L. (2009). Now that is funny humour in tourism settings. //Annals of Tourism Research, 36//(4), 627-644. https://doi.org/10.1016/j.annals.2009.05.003
Skandrani, Z., Daniel, L., Jacquelin, L., Leboucher, G., Bovet, D., & Prevot, A.C. (2015). On public influence on people's interactions with ordinary biodiversity. //PLOS ONE, 10//(7), e0130215. https://doi.org/10.1371/journal.pone.0130215
Skavronskaya, L., Scott, N., Moyle, B., Le, D., Hadinejad, A., Zhang, R., ... & Shakeela, A. (2017). Cognitive psychology and tourism research: State of the art. //Tourism Review, 72//(2), 221-237. https://doi.org/10.1108/TR-03-2017-0041
Tung, V.W.S., Lin, P., Zhang, H.Q.Q., & Zhao, A.M. (2017). A framework of memory management and tourism experiences. //Journal of Travel & Tourism Marketing, 34//(7), 853-866. https://doi.org/10.1080/10548408.2016.1260521
Walker, K., & Moscardo, G. (2014). Encouraging sustainability beyond the tourist experience: Ecotourism, interpretation and values. //Journal of Sustainable Tourism, 22//(8), 1175-1196. https://doi.org/10.1080/09669582.2014.918134
Wong, I.A. (2015). A multimethod multilevel study of heritage transmission: The role of culture on tourist interest and authenticity. //Journal of Travel Research, 54//(5), 672-685. https://doi.org/10.1177/0047287514532368
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigArnfF3i/wn8P8Awt4i8c+PPFHh3wT4J8IaLqXiPxZ4w8Xa3pvhvwt4X8PaPaS3+r694i8Qazc2Wk6JoulWME15qWqald21jY2kMtxdTxQxu46KiplzcsuRxU7Plc1KUFLSzkoSjJx3uoyi9rNa3qPLzR51Jw5lzqDjGbjdcyg5xlBSavyuUZRTs5Jq6fx18Nf+CiP/AAT9+M/jfQvhn8Hv26P2Ovix8SPFM11b+Gfh/wDDX9pv4KeO/G/iO4srG61S9g0Lwp4X8barr2rzWmmWN7qN1Fp9hcPb2NndXcqpb28sifYtfiJF8ZvFv7OngD/gvv8AHzwFp2lar41+DXxx8XfEzwpZa9a3d94fbX/Bf/BNr9kjX9LufENjp95p+oXvh+wu7GK/1yz0+/s7+60m2vILK5gupIpF8R+OX7UX7Vn7MXhH9rL4c6V+2z/wuHVfAXwG/YE+PXg/9pf4wfDH9no33wk1P9pX9prxN8HPHek+LNB+EfgL4J/CzxD8INU8GeCP+E18E2mqaHZ+PtK0+88cPq3xWmgk8FatoWi5akMOqUajrVcHk1fllKnyVMVnmCy3MMNgqTipSoqjhsypyq4zG+xwdWUZUqM/rS+qy0qYeVKtiozq0lRw+NxuFdRxrc0KGXvA08VjaqjGcZR9vmOHpU8HhnVx8oqdenh69CM5w/oG1vxj4R8Nan4U0TxH4q8OaBrPjzW7nw14G0jW9c0zStT8Z+I7LQNZ8V3nh/wpYX11Bd+ItbtPC3hzxD4ludK0iK8v4NA0HWdYlgTTtLvrmDo6/n5X9qb9rH4HftkaB+ytdftBeKf2qfB/hr9o7wjpWqeNPE3w++A+h/FHxhpHjn/gnn+1l8fb79nHxpe/CP4a/Dn4fW/iPw38QPg58MPij4Y1rwT8O/AXiqHwT8TfCOgeK9W8S6dc3F5rf1f/AME9fiB8WPiN4R/Z2+OHxc/bt034tar+1x+zVH8cY/2Xta8E/s++GrPwZrmoyeBPEOsXH7N1/wDDfQfBvxYk+F/weHjOb4aePLD4wax+0P4iutQ1PwDf6j8RvBuuWur2njm6NL29KlXpzjKjVozrxrWkrp1sfQw1FYflninUq1cozeLqxhPCwWEp1qlWnQxFGUeepJ0uRThOFWVNTdFrmklCVJ4ipLEQTwcIUqOOyyrGnKuqlb61UhhqmIlh6zX6r151qXxg+EmjaN8TPEWsfFH4daT4f+Csl5D8ZNd1Lxt4ZsdG+Es2neF9K8cahF8TNTutTisvAclh4K13Q/GF4nimfSmtfC+s6V4gnCaTqNndzdjrmlLrmi6xoj32qaWmsaXqGlPqeh382la1py6haTWjX2j6nbkXGm6paCY3Gn38BE1ndxw3ER3xrX85fhT9m3w/4S+DP/BWD9l74I+Ofhh8GtK8Z/8ABTn9nzwjbeJv2nPib8QvEWh+KJ/iV8If+Cf/AIi+JWjeM/GviXxZf/FL4v8AxL+Okus+LfDtpo+s/EG18W/Fvx944g0C98a6Xca9Jq9tjTU6tXEUYxfNHBUa+H5Y+0lVr1OIOHcoq050+ei406GDzqvjYclSVbFYjDUcHThShOrWfRyQWGeIcklTxdCjVU5KlThQq4HiHFe0db2ddxlKrktKhzexdLDUsRWxeI9pClTpr97fgz8fvgR+0d4UuPHn7PPxr+Enx48DWmsXfh268Z/Bn4j+Dvih4UtvEFhb2d5faFceIvBGs65pEOsWdpqOn3V3pkl4t7b299ZzzQJFcwM/rdfHH7JXxi+LvxA1X9o34W/G+fwJ4l+IP7NPxk0j4V6n8UfhX4B8TfCz4cfE6HxN8GPhV8a7PVPD/wAOvF3xM+NGt+D77wtbfFOPwJ4h0y4+LHjddQ1Tw0/iiK70KPxEvhHw99j1tVhGLpSpvmpVsNhMVRnzKaqUsVhqWIp1E1TotRmpTcYTpQqU0lCopTj7Wvzx9onVp1Uo1aNarRqRStyyg6clF2qVouSpV8O5SjUcXKcly0pQq0MOUUUVkUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZ2sSPFpGqyxO8ckem30kckbFHjdLaVkdHUhldWAZWUgqQCCCKAMnSfBHgvQLvxhf6F4Q8L6LffELWl8R+Pr3SdA0rTrvxx4hTw/o3hJde8YXNnaQzeJdaXwr4c8PeGV1TWnvb4eH9C0bRhONO0uxtoPjP4lf8E7/wBnPVv2bfHP7M/wE+FnwU/Zb8E/EL4g/DL4ieKbD4Q/A7wL4Z8La7rHw++JXgDx5fT+IPBHgyLwPpOval4p0vwFaeELvWNRuJLq10+4t55k1O202PSrj2f+3Na/6DGqf+DC7/8Aj1Rz+N4fDtre6z4o8XR6FolnYX/2rVdf19dM0q1nuLOe107z77UbuC0gln1KeztrLzJVeW+mtoYN1xJEpccPLEzhQp0Z4ipWeCoQoUqU61TELCY7A47BYP2FKnVniqEMdl+CqUsA6OJw9SdJU1gpxq1IVFUxCoU6lerXjQpUvrGJqV6taNGnQlUweKwdfGSr1a1KGHrRweLxNN451qFejTkpLGUlSpyp7vw7/Zf/AGafhDoHg3wp8J/2ePgZ8L/C/wAOvFeseO/h94b+Hfwl8A+CtA8CeOPEOh6v4Z1/xl4N0fw14f0zTvDHivXPDev694f1jxFoltY6vqeh63q+k3t5PYaleW803w3/AGaP2cfg540+IHxI+EP7P/wS+FfxE+LF9LqnxT8e/Df4U+BPA/jT4l6nPqV9rM2o/EDxT4Y0HS9c8ZX02sanqWqy3fiO+1K4k1LUL6+eQ3V3PLJ4n/w0P8NP+i5eBv8Aw5mgf/Luj/hof4af9Fy8Df8AhzNA/wDl3Xtf6vcSuftHkHEbqezqUvaPIuIHU9lWVGNal7R5M5+yqxw+HjVpc/s6scPh1Vp1FQoKh4v+sXDXIqf+sPDns1KE1T/t/IPZqdKpXq0pqn/bfs1OlVxWKq05qCnTq4nE1acqdXE4ipiPtmvMNf8Agj8F/Ffh/wCJvhPxR8Ivhh4k8LfGq6e++MnhrX/APhTWPD/xavZNA0TwpJefE3RtR0m507x5dP4W8NeHPDT3Hiq21WZtA8P6JozOdO0qwtoPnX/hof4af9Fy8Df+HM0D/wCXdH/DQ/w0/wCi5eBv/DmaB/8ALuolw1xDOMoy4bz+UZwdOcZcPZ5KM6cpU5ypzjLIpRnTlOjRnKnOM4SnSpTcHOlSlTuPE3D0WnHiXIItSjNOPEWRxanDn5Jpxz6LU4e1q8k01OHtKnJOHtKntPpj4W/CX4VfA3wNo3ww+Cnwz+H3we+Gvhw6g3h74efC3wZ4c+H3gbQW1fU7zWtVbRvCXhPTdI0DSzqes6hqGragbHT4De6nfXl/c+bdXM0r+g18Tf8ADQ/w0/6Ll4G/8OZoH/y7q/H+0P8AC7+y7zd8cvAP2n7fpvlZ+Jnh3z/I+z6r9o8vOt+Z5XmfZvO2/Jv8jf8AN5dXPh/iWpKU6mQcR1Jyd5TnkXEE5ydoq8pzyac5O0Yq8pSdoxV7RioxHiLhqC5YcQ8ORim2oxz7h+MU5SlKTUY51FJylOUpNK8pSlKTcpSlL7Kor4m/4aH+Gn/RcvA3/hzNA/8Al3R/w0P8NP8AouXgb/w5mgf/AC7qf9XOI/8AoneIf/DBnv8A85B/6ycOf9FHw9/4kGQ//Pw+2aK+Jv8Ahof4af8ARcvA3/hzNA/+XdH/AA0P8NP+i5eBv/DmaB/8u6P9XOI/+id4h/8ADBnv/wA5A/1k4c/6KPh7/wASDIf/AJ+H2zRXxN/w0P8ADT/ouXgb/wAOZoH/AMu6oXn7Tvw7h1Pw5oUXxa8Fz2+pWHjXV7/X4/ibofk6ZNotx4Bs9I0e8C6i6GXXE1/W73TjNe27hPD2qC2tbwG7lscquRZ9QUJVshz+mqlahh4OWQ56lKviajpUKSvkqvOrUThBK7lJWSk9Dqwmb5Ljp16eEz3IK08NgsbmNeMeIMgvTwWXYdYrG4h3zz4MPh5KrO2vK9NT7oor4m/4aH+Gn/RcvA3/AIczQP8A5d0f8ND/AA0/6Ll4G/8ADmaB/wDLutf9XOI/+id4h/8ADBnv/wA5Dl/1k4c/6KPh7/xIMh/+fh9s0V8Tf8ND/DT/AKLl4G/8OZoH/wAu6P8Ahof4af8ARcvA3/hzNA/+XdH+rnEf/RO8Q/8Ahgz3/wCcgf6ycOf9FHw9/wCJBkP/AM/D7Zor4m/4aH+Gn/RcvA3/AIczQP8A5d1fvP2h/hd9n0ryvjl4B8z7BJ9p8v4meHd/n/2pqW3z9ut7vN+zfZ8eZ8/keTj93so/1c4j/wCid4h/8MGe/wDzkD/WThz/AKKPh7/xIMh/+fh9lUV8Tf8ADQ/w0/6Ll4G/8OZoH/y7o/4aH+Gn/RcvA3/hzNA/+XdH+rnEf/RO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/wA/D7Zor4m/4aH+Gn/RcvA3/hzNA/8Al3R/w0P8NP8AouXgb/w5mgf/AC7o/wBXOI/+id4h/wDDBnv/AM5A/wBZOHP+ij4e/wDEgyH/AOfh9s0V8Tf8ND/DT/ouXgb/AMOZoH/y7q/qv7Q/wu/tTUvs3xy8A/Zvt959n8j4meHfI8j7RJ5Xk+Xrfl+V5e3y9nybMbflxR/q5xH/ANE7xD/4YM9/+cgf6ycOf9FHw9/4kGQ//Pw+yqK+Jv8Ahof4af8ARcvA3/hzNA/+XdH/AA0P8NP+i5eBv/DmaB/8u6P9XOI/+id4h/8ADBnv/wA5A/1k4c/6KPh7/wASDIf/AJ+H2zRXxN/w0P8ADT/ouXgb/wAOZoH/AMu6P+Gh/hp/0XLwN/4czQP/AJd0f6ucR/8ARO8Q/wDhgz3/AOcgf6ycOf8ARR8Pf+JBkP8A8/D7Zor410r9of4Xf2ppv2n45eAfs32+z+0ef8TPDvkeR9oj83zvM1vy/K8vd5m/5Nmd3y5qh/w0P8NP+i5eBv8Aw5mgf/Luj/VziP8A6J3iH/wwZ7/85A/1k4c/6KPh7/xIMh/+fh9s0V8Tf8ND/DT/AKLl4G/8OZoH/wAu6P8Ahof4af8ARcvA3/hzNA/+XdH+rnEf/RO8Q/8Ahgz3/wCcgf6ycOf9FHw9/wCJBkP/AM/D7Zor4m/4aH+Gn/RcvA3/AIczQP8A5d0f8ND/AA0/6Ll4G/8ADmaB/wDLuj/VziP/AKJ3iH/wwZ7/APOQP9ZOHP8Aoo+Hv/EgyH/5+H2zRXxrZ/tD/C77Pqvm/HLwD5n2CP7N5nxM8O7/AD/7U03d5G7W93m/ZvtGfL+fyPOz+731Q/4aH+Gn/RcvA3/hzNA/+XdH+rnEf/RO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/wA/D7Zor5z/ALc1r/oMap/4MLv/AOPVpaPrGry6vpUUuq6lJHJqVjHJHJfXTpIj3MSujo0pVkZSVZWBDAkEEGvGPaPeqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAor4h8dft7/A/wB+2J8P8A9jPXdf8ADuneOfGvgy68U3viDW/HHhHQ9H0LWL3ULDTPA3w5WwvNTbWNR+Ivjua9F5onhiW10q6utJm0y/0dtcfUhbW3venftFfs+6x8Sbn4NaT8dfg5qnxfs7rULG7+FOnfE7wTe/Em1vdKtJb/AFSzufA1trcvieC602xgmvdQt5dLWaztIZbm4SOGN3BTftqdGrS/eQxEsZCg4e860svrOhjfZRV5zjhqqcasowlGMYyqNqilXkVP3U6lOp7kqNPC1aqn7qpwxtP22ElOUrRj7enZ005JuUo0/wCLJUV7HWXrn/IF1j/sF6h/6STVwkHxu+DFzpXxD122+LvwwuND+Eeo6rpHxX1mDx94Ul0r4Y6toUbS63pnxD1GPVmtPBeo6NEjyarZeJJtNudPjRnu4oVUkdJH4g0DxZ4IHijwrrmkeJvDPiLww2t+H/EXh/UrLWdC13RtU0s3um6vo2r6dPc6fqemajZzQ3djf2VxPaXdtLHPbyyROrkXvR5o+9HlpT5o+9HkxEJVcPPmV48lelCdShPm5a9OE6lGVanCdSI/dfLL3ZOVSCjL3ZOdFwVaCTs3Oi6lNVo25qLqU1VjSdSmqnhVfMv7Yv8Aybj8Rf8AuUf/AFO/DFfTVfMv7Yv/ACbj8Rf+5R/9TvwxX2Xh1/ycDgf/ALK7hz/1b4Q+M8Rv+Tfcc/8AZIcR/wDqoxZ+GNFFFf6vH+TQUUUUAFFFFABRRRQAUUUUAFJnkD1BP5ED+tLSZ5A9QT+RA/rXmZrX+r0sFL699Q9rnOS4b2n1b6z9Z+tY+dH+zeWz9j/advqn1vT6ny+3vG9z3eH8J9cxGaQ/sn+2PYcM8UY72P136h9R+oZRTxP9ue05o/Wf7C5v7R/s67/tLn+q8suWwtFFFemeEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/TRWpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDX+N5/swfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/Pj+2pf8AwG+Cf/BXv9mf4t/Gj4a+HL/RvHn7PGu6F4K1W6+Gkfiibxh+0boXjq1g+GsVteWHhzW7uDx7pQk8L6L4d8X3US3Hg+PUNCkbVdJ0xEuIfxV+GHivwP4z+MX7C3jnwvH8Nvg94n8N/tyfDvQviz8Fvhr+zN8SdM8S/B7VNa+LXie/0i6+OH7aHxc1LxF8TPiR47+IMVtrenj4d3HjSfwpY6Xol/Pa6Do0nhC6sU/u4ooy3/YK2X1X+9WXYzEYmhCP7pcmI4grZ7Ok0uaEpTWKxGBqVJxlFUaeDqYehSqwxNSoY/8A22jjaK/d/XsDTwdaUrVXzUsgrZFTqxckpRVJOjjadOEoSeJeJVWvOnLCLDfyJ+Pf2ivhv+zp4X/4Ldfsu/FM+MdH+OPx2+Lnxu8cfCbwVY+APGesSeMfBnjrw3qeo2viy31fT9Fm0PSvDuheHA/i7xBrHiDUdJsIvC8Nxqekz6x9nngj/e39knwNovjf9gD9iSTWb3xjZN4K+AvwA8f6MPCHxD8f/D5L3XfDfwu0ttPsPFsXgLxN4aj8f+Cbg3cv9vfDXx2niT4c+KglsvijwrrC2VmIPv8ArL1z/kC6x/2C9Q/9JJqMJ/s2XxwUv3k44Xh3Be2XuR+r8NZZmmU4P91779rWw2YQniJ+1cXXozlThClVjTpmL/2nFwxK/dwhi89xvs378nWz6pk9bEr2i5EqVGrlMfYR9nz+zrONSc5w55eD/wBsXf8Azx0v/wAEei//ACvr5g/bM1K4uP2bPiRDJHYKj/8ACH5MOlaXbSjb498LMNs1vZxTJyoDbJF3LlGyjMp+i6+Zf2xf+TcfiL/3KP8A6nfhivsvDr/k4HA//ZXcOf8Aq3wh8Z4jf8m+45/7JDiP/wBVGLPwxooor/V4/wAmgooooAKKKKACiiigAooooAKTPIHqCfyIH9aWkzyB6gn8iB/WvMzWv9XpYKX176h7XOclw3tPq31n6z9ax86P9m8tn7H+07fVPren1Pl9veN7nu8P4T65iM0h/ZP9sew4Z4ox3sfrv1D6j9Qyinif7c9pzR+s/wBhc39o/wBnXf8AaXP9V5ZcthaKKK9M8IKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD+nz+2Lv/njpf/gj0X/5X1paPqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAI5mtTQ/+Q1o//YU0/wD9K4a/xvP9mD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArL1z/kC6x/2C9Q/9JJq1Ky9c/wCQLrH/AGC9Q/8ASSagD5zry/40aN8Ndf8Ahj4r0r4veNLL4e/D24tbKXXfF2o+ItA8J2elz2Wq2F9oUc2v+J4ptEsf7U8RW2k6PGl5Gz3st+mn2ZS+urZ19Qr8/f8AgqX/AMmI/HT/ALpj/wCrj+Hte9wtCvV4m4ep4XGV8uxNTO8qhh8fhVTeJwNeWNoxpYvDqtGdJ18PNxq0lVhOm5wjzxlG6fhcUTw9PhniGpi8HQzHCwyTNJ4nL8U6iw2OoRwVZ1cJiHRnCqqGIpqVKq6U4VFCcuSUZWa8Z/4Vh/wTy/6O98F/+H++B/8A8r6P+FYf8E8v+jvfBf8A4f74H/8Ayvr+V+iv7P8A7E47/wCjwccf+E/D3/zsP4y/tbgL/oz/AAP/AOD+If8A56H9UH/CsP8Agnl/0d74L/8AD/fA/wD+V9H/AArD/gnl/wBHe+C//D/fA/8A+V9fyv0Uf2Jx3/0eDjj/AMJ+Hv8A52B/a3AX/Rn+B/8AwfxD/wDPQ/qg/wCFYf8ABPL/AKO98F/+H++B/wD8r6tJ8K/+CdZsriZv2wfBYuY7qziih/4aB+Bo3wTRXz3EnlnTvMbypILZd6kInnbXBaSMj+VWij+xOO/+jwccf+E/D3/zsD+1uAv+jP8AA/8A4P4h/wDnof1Qf8Kw/wCCeX/R3vgv/wAP98D/AP5X0f8ACsP+CeX/AEd74L/8P98D/wD5X1/K/RR/YnHf/R4OOP8Awn4e/wDnYH9rcBf9Gf4H/wDB/EP/AM9D+qD/AIVh/wAE8v8Ao73wX/4f74H/APyvo/4Vh/wTy/6O98F/+H++B/8A8r6/lfoo/sTjv/o8HHH/AIT8Pf8AzsD+1uAv+jP8D/8Ag/iH/wCeh/VB/wAKw/4J5f8AR3vgv/w/3wP/APlfVK5+HP7AEWpaLaW/7UXhu60y+svE9zq3iSP4+/BVtK0O/wBJn8IxeHtEvWTQ3t4dQ8VW+s+Jr/TFudQt5ri28G6sbGyvUtdQnsP5bK2YNI87w9qmvfaNv9m6zoWkfZfK3ed/bdj4jvPtHn+aPL+zf2B5fleTJ532vf5sXkbZuPG5ZxxhoYeU/GfjfDqrmGX4SMpYLIKvtZ4vFSowwyUMrvCWKkvYxrS/d0GvaVPdZ62T4rgTG1sfCHghwRmDw+RZ9j5U45jn2F+qwy/LoYmeZuc81SrRyuMvrcsHG9TGqXsKaclY/qH/AOFYf8E8v+jvfBf/AIf74H//ACvo/wCFYf8ABPL/AKO98F/+H++B/wD8r6/lfors/sTjv/o8HHH/AIT8Pf8AzsPJ/tbgL/oz/A//AIP4h/8Anof1Qf8ACsP+CeX/AEd74L/8P98D/wD5X0f8Kw/4J5f9He+C/wDw/wB8D/8A5X1/K/RR/YnHf/R4OOP/AAn4e/8AnYH9rcBf9Gf4H/8AB/EP/wA9D+qD/hWH/BPL/o73wX/4f74H/wDyvq1cfCv/AIJ1xxWLxftg+C3kntXluV/4aB+BreTOL28hWPaunBo820NvNskJc+b5gPlugH8qtFH9icd/9Hg44/8ACfh7/wCdgf2twF/0Z/gf/wAH8Q//AD0P6oP+FYf8E8v+jvfBf/h/vgf/APK+j/hWH/BPL/o73wX/AOH++B//AMr6/lfoo/sTjv8A6PBxx/4T8Pf/ADsD+1uAv+jP8D/+D+If/nof1Qf8Kw/4J5f9He+C/wDw/wB8D/8A5X16D4F/ZX/ZG+KP9q/8Kz+ON78Rf7C+w/23/wAIL8TPhl4u/sf+0/tn9m/2r/wj/h3UP7P/ALQ/s+/+w/a/J+1/YbzyPM+zTbP5Hq/oE/4IV/8AN0n/AHRH/wB67Xy/GlXxB4W4azLPcP4r8ZYytgfqnJh8RTyOlSqfWcbh8LLnnQyt1Y8saznHlWsopP3Wz6fg3DeHnFHEmXZHiPCfgzCUcb9a58RQqZ5Vq0/q+CxGKjyQr5qqUuaVFQlzPSMm17yR+jv/AA79+DX/AEM3xN/8HPhX/wCYyruo/wDBPX4L2eoX9pF4n+KDR2t7dW8bSa14ULlIJ5IkLlfBSqXKqCxVVBOcKBwPtqtTXP8AkNax/wBhTUP/AErmr8F/4jJ4qf8ARecQ/wDg/B//ADoP3b/iDPhV/wBEFw9/4T4z/wCfB8Cf8O/fg1/0M3xN/wDBz4V/+Yyj/h378Gv+hm+Jv/g58K//ADGV9z0Uf8Rk8VP+i84h/wDB+D/+dAf8QZ8Kv+iC4e/8J8Z/8+D4Y/4d+/Br/oZvib/4OfCv/wAxlH/Dv34Nf9DN8Tf/AAc+Ff8A5jK+56KP+IyeKn/RecQ/+D8H/wDOgP8AiDPhV/0QXD3/AIT4z/58HxLp3/BPX4L3moWFpL4n+KCx3V7a28jR614UDhJ50icoW8FMocKxKllYA4ypHBpf8O/fg1/0M3xN/wDBz4V/+YyvvvQ/+Q1o/wD2FNP/APSuGsuj/iMnip/0XnEP/g/B/wDzoD/iDPhV/wBEFw9/4T4z/wCfB8Mf8O/fg1/0M3xN/wDBz4V/+Yyj/h378Gv+hm+Jv/g58K//ADGV9z0Uf8Rk8VP+i84h/wDB+D/+dAf8QZ8Kv+iC4e/8J8Z/8+D4Y/4d+/Br/oZvib/4OfCv/wAxlH/Dv34Nf9DN8Tf/AAc+Ff8A5jK+56KP+IyeKn/RecQ/+D8H/wDOgP8AiDPhV/0QXD3/AIT4z/58HxLa/wDBPX4LzwajK/if4oBrOyS4iC614UAZ21CwtCJM+CiSnl3UjAKVO8IdxUMrUv8Ah378Gv8AoZvib/4OfCv/AMxlffen/wDHprn/AGC4f/T1o9ZdH/EZPFT/AKLziH/wfg//AJ0B/wAQZ8Kv+iC4e/8ACfGf/PgK1ND/AOQ1o/8A2FNP/wDSuGsutTQ/+Q1o/wD2FNP/APSuGvzQ/TT6MooooAKKKKACiiigAooooAKKKKACiiigD5+/al/aQ8D/ALI/wJ8d/tCfEjSvFet+C/h7FoM2taZ4IsdI1LxPdL4h8T6L4Ushpdlr2u+GtKmaLUddtJroXetWQSyjuZIjPOkVtN7FoviK017wtpPiywtr9rHWdAsPEVlZvDEdTNpqOnRalbWzW8M80JvzDMkTQxXMsRuMpHO64kP5kf8ABbbH/DsT9p3OQPsXwwyQMkD/AIXR8Os4GRk+2Rn1Ffk98J9K/ZS+HP7ZH/BP3Vf+CfHxZv8Axv4u+Onwu+K037YUWlfFTxB8Rb7xf4bh+Fdn4m/4SP416b4h8S6u3gzxrL4kTWdZu/Cl3aaFNYa/p1vLB4d0vULKyjveRV5OjnN9KmHxNLD4OpTjGpKhKfB/EefOpisO9HgliskX1jHTko4OE6cJUqtKVdrepTUIZfVXw1aWY1sTCo3ThVhg864awKp0a+vLjHhs6qfVsHGLljaqaU6U4Ueb+l74H/Ff/hd3wz8P/Er/AIVr8WfhF/wkEusxf8IB8cPB3/CA/EzRP7G1zUdE8zxB4V/tHVv7Ni1X+zv7X0Z/t8327Q77TtQxF9q8lPWa/iP8N2Xwa1T9nH/giBpH7Qviu58F/BXW/if+2/oPxG16DxFqnhC3Xw5rvxTh0i40jXPFWjXum6j4d8KeJZb2Hw14x1mHUtNi0/wrq2sXN3qWnWcdxfW/t954q1n4DfCr/gsD4W/4Jx+PfFd9+yr8PNP/AGeb/wCH3iL4f+Mta8caB8Ptb8Y3Gj2/x3vfhR47fUfEWpXf2Xwx/bj+IPFOlapcXej6VptprU+vQyaLpGty9+JUadTGRgoR9lXzbD0Oar/s9OeU1eEKE6mZ4qov+E3DYqfFdKpSxFWFWEVhMVFqUVRlHOnSlOrQpcy/e16EZSnHkl7LG5xxjllGOCppt4+vhnwtzYijB06nsMTTrNqpCup/18Xt3HYWd3fTK7RWdtPdyrGFMjR28TzOsYZkUuVQhAzopbALKMkeB/sr/tK+Bf2u/gb4P+P/AMNtJ8WaJ4N8bT+JrfStM8cWOj6b4mt38K+Kta8IaidQs9B17xLpUSzaloV3PZG21m7MljJbSzrb3Dy20P8APn8K/Dv7KPwJ/bB/Yp8P/wDBLr4jR+M9M+MXw2+Jo/a+8N+Efipr3xM0HW/h9oPgCy1Dw548+L2n3+tavafD7x5pmu6lq93p2kNpfhCey1+f+wovD/h9NUm0vVfkTw34t+GPiL9gP/gmv+zl8RbPSNQj+Ieq/tfeK7G2+NH7RV3+zb+yHa6h4d+JXjuz0HxL+0F4h8OaJL8QPGkfhXWLxL3wn4Q8C+Nvh7qc2p3TW1xrV1/bNpaVEk4/WlGMqk1XwuAw1KcJYeTxlLiLPMrzGvS5pN4nB1sHlftsDUlOhH2lHFQrVITw+IcsoTjVo4Wtf2VOpGONqzdqkoYHFcNRzXBYfE00m8Jj6eOqUaOMpqNd06dahOnTnTr0+T+0ysvXP+QLrH/YL1D/ANJJq/im+H9nqfxE/wCCcXwi+F2q+NrK58J2P/BaPwj8MPBc/wANPFHiu90DwP4M1jwxeStZ/CvXfE13L4z0/wAMJqfiDWfEngq71jUZdfEOqw6zqFwdXu7yV/6zvC/7MngL4I/BvwR8H/2etV8U/Ab4b/DLxHL4tTwx4Jm8OeJ08a6ObvW9b8R/DvxprPxi8M/FDxFL4R8a6lq8s/iLVvC2seFfiZaJbWcHhP4heGII5Y59vZR9jXr879nHE4ShhVy+/WWJyLh/Pp1KyfIqHssPxBQw6jGNR1a9GpLlo0naEOpJVKNLlXtJRzKWI973KX1DPcyyGKotc0q3t6+Wzrvn9kqVKpyqVeUYyqpX5+/8FS/+TEfjp/3TH/1cfw9r9Fv7QtP+gHpf/f7Wv/lxX58f8FUby3l/YM+O0celWFs7f8KwxNDJqjSpj4y/DxjtFxqVxCdwBRt8L/KxK7X2svu8G/8AJXcLf9lDk3/qww54PGH/ACSXE/8A2T+cf+q/EH8dVFFFf34fwUFFFFABRRRQAUUUUAFFFFABWzBpHneHtU177Rt/s3WdC0j7L5W7zv7bsfEd59o8/wA0eX9m/sDy/K8mTzvte/zYvI2zY1bMGked4e1TXvtG3+zdZ0LSPsvlbvO/tux8R3n2jz/NHl/Zv7A8vyvJk877Xv8ANi8jbNwZjW9jTwsvrf1L2maZVh+f2H1j6x9YxkqX1Dls/ZfX7fVvrOn1Xl9tdXuezkeG+tV8xh/Zn9qex4e4ixnsvrf1L6n9SyunX/tjn5o/WP7Gv9f+oa/2hz/VuWXLYxqKKK7zxgooooAKKKKACiiigAr+gT/ghX/zdJ/3RH/3rtfz91/Qd/wQiuIoP+Gp/NsbW93/APCj9v2l71PL2/8AC387Psd5aZ35G7zPMxsXZsy27838XP8Ak32f/wDdM/8AVvgT9G8Jv+S/yH/up/8Aqpxx+/Vamuf8hrWP+wpqH/pXNR/aFp/0A9L/AO/2tf8Ay4rS1i+tU1fVUbR9NlZdSvlaWSXVw8hW5lBkcRarHGHcjcwjjjQEnYirhR/E5/aRzNFan9oWn/QD0v8A7/a1/wDLij+0LT/oB6X/AN/ta/8AlxQBl0Vqf2haf9APS/8Av9rX/wAuKP7QtP8AoB6X/wB/ta/+XFABof8AyGtH/wCwpp//AKVw1l102j31q+r6Ui6PpsTNqViqyxy6uXjLXMQEiCXVZIy6E7lEkciEgb0Zcqc3+0LT/oB6X/3+1r/5cUAZdFan9oWn/QD0v/v9rX/y4o/tC0/6Ael/9/ta/wDlxQBl0Vqf2haf9APS/wDv9rX/AMuKP7QtP+gHpf8A3+1r/wCXFABp/wDx6a5/2C4f/T1o9ZddNY31q1trBGj6agTTYmZVl1ciUHV9KTy5N+qswQMyygxNG++NAXMZkjkzf7QtP+gHpf8A3+1r/wCXFAGXWpof/Ia0f/sKaf8A+lcNH9oWn/QD0v8A7/a1/wDLitLR761fV9KRdH02Jm1KxVZY5dXLxlrmICRBLqskZdCdyiSORCQN6MuVIB71RRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHKeN/Afgf4meGNU8EfEjwb4U+IPgvW1tV1rwj438O6R4r8Mautje22pWS6poGvWd/pWoLZ6jZ2l/ai7tJRb3trbXUQSeCKReS8F/AT4F/DfXvE3ir4d/Bf4TeAvFHjSOWHxj4k8F/Dnwf4W17xZDPcteTReJtY0PR7HUNejmvHe6lTVLi6WS5Zp3BlYufWKKSjFe0tFL2sZQq2SXtYTpujOFWyXtYTot0pwqe0hKk3SlCVJum222opttQlGcE22oTjNVYzgm2oTjVjGrGcVGUakY1IyjUjGovz1+MP/BPH4X/ABI+J/7IPivwpB4C+F/wx/ZV1r4vajJ8DfD3wj8PN4D+IOm/GHSLDTfEOhPp2m6p4f8AD/hixuJ4NR1DWVbwt4kg8RTaxerfWkLyTz3P2d4B+Fnwx+FPhj/hCfhd8OfAfw28Gfab28/4RHwD4Q8P+DvDH2zUdo1C6/sHw7p2naV9pvwifbZ/snm3W1fPeTaMd5RTXu0alDelVrYuvWjL33WqY2eHqYlVpT55Vqc54WhKNGtKrQpOD9lSp88+ZSfNUhVl/Ep06NKnJaezjQeMlTlBKyhVvj8Xz14KNer7ZqtWqqMEvIPht+z18Avg1Jrsvwg+B/wf+FMviiC2tvE0nw2+GngvwNJ4itrNrprO311/C+i6W2rwWrXt41tFqBuI4Gu7oxKhnl34+qfss/sx654J8OfDTWv2cvgPrHw58HahqGr+EfAGqfCH4fah4J8Larq091dapqfhzwrd+HptC0PUNSur6+udQvdMsLW5vJ7y6muJZJLiZn93op3d4u7vD2PI7u8Pq1SVbDcrveP1atOdbD8rj9XrTlVw/sKspVZCbV2m05SqTk1o5Tq01Sqzk1ZynVpJUqs5c06tJKlVnUppU148/wCzx8AJEuI5Pgb8Hnju/iLB8YLtH+Gfgpkuvi3bB1tvilcKdEKzfEW3WSQQeN5A3iaISOI9TUM2fTdc/wCQLrH/AGC9Q/8ASSatSsvXP+QLrH/YL1D/ANJJqSdoqK0irNRWkU406dJNRVopqlSpUk1FNUqVKkmqdKnTpqyunZXScU7K6i5c7ina6i5++0mk5++05++fOdfn7/wVL/5MR+On/dMf/Vx/D2v0Crwj9pr4A/8ADUPwN8e/A7/hLP8AhB/+EytdGuf+Eo/sH/hJv7N/4Q/xJo3jnZ/Yn9s+H/tn9o/8I1/Ze7+17X7J9t+27br7N9kn9vhrGYfL+I8hx+LqeywmCznLMXiavLOfs8Ph8ZRq1qnJTjOpPkpxlLlhGU5WtGLbSPG4kwmIx/DufYHCU/a4rG5PmWFw1LmhD2lfEYOtSo0+epKNOHPUlGPNOUYRveUkk2fw3UV/QJ/w4r/6uk/8wj/+N2j/AIcV/wDV0n/mEf8A8btf17/xFzw+/wCh/wD+YzN//mE/kf8A4hNx/wD9CH/zJ5T/APNx/P3RX9An/Div/q6T/wAwj/8Ajdo/4cV/9XSf+YR//G7R/wARc8Pv+h//AOYzN/8A5hD/AIhNx/8A9CH/AMyeU/8Azcfz90V/QJ/w4r/6uk/8wj/+N2rSf8EIt9lcXn/DU+PIurO28v8A4Ufnf9rivpd+/wD4W+Nvl/Ytu3ad/mZ3Lsw5/wARc8Pv+h//AOYzN/8A5hD/AIhNx/8A9CH/AMyeU/8Azcfz40V/QJ/w4r/6uk/8wj/+N2j/AIcV/wDV0n/mEf8A8btH/EXPD7/of/8AmMzf/wCYQ/4hNx//ANCH/wAyeU//ADcfz90V/QJ/w4r/AOrpP/MI/wD43aP+HFf/AFdJ/wCYR/8Axu0f8Rc8Pv8Aof8A/mMzf/5hD/iE3H//AEIf/MnlP/zcfz91swaR53h7VNe+0bf7N1nQtI+y+Vu87+27HxHefaPP80eX9m/sDy/K8mTzvte/zYvI2zfvX/w4r/6uk/8AMI//AI3awr7/AIIjfY/E/hjw5/w035n/AAkeg+Otb+2f8KX2fY/+EK1D4dWH2b7P/wALYf7R/af/AAn3m+d58H2P+ydnlXf2/fZ8mM8XOAuSh7Lin6q/r2A55/2Nm1b21L6zL22D5ZYH939dhbD/AFhe9h7e1jqz1co8IuPKlbHKpwh/aShkmeVYUv7dyrCfVKtLL4TpZtzxxy9v/ZE28b9Sfu47m+ryTSsfgxRX9An/AA4r/wCrpP8AzCP/AON2j/hxX/1dJ/5hH/8AG7XX/wARc8Pv+h//AOYzN/8A5hPK/wCITcf/APQh/wDMnlP/AM3H8/dFf0Cf8OK/+rpP/MI//jdo/wCHFf8A1dJ/5hH/APG7R/xFzw+/6H//AJjM3/8AmEP+ITcf/wDQh/8AMnlP/wA3H8/dFf0Cf8OK/wDq6T/zCP8A+N2rVx/wQi8iKxl/4an3/bbV7nb/AMKP2+Xsvbyz2Z/4W+d+fsnmbsJjzNm07NzH/EXPD7/of/8AmMzf/wCYQ/4hNx//ANCH/wAyeU//ADcfz40V/QJ/w4r/AOrpP/MI/wD43aP+HFf/AFdJ/wCYR/8Axu0f8Rc8Pv8Aof8A/mMzf/5hD/iE3H//AEIf/MnlP/zcfz91/QJ/wQr/AObpP+6I/wDvXaP+HFf/AFdJ/wCYR/8Axu1+gX7Cv7Cv/DFf/C0v+Lpf8LK/4WV/whH/ADJH/CG/2L/whv8Awl//AFN/ir+0v7S/4Sr/AKcPsf2D/l6+1f6P8T4i+IvB2e8HZvlWVZv9ax+K+o+wofUcxo8/scxwlep+8r4SlSjy0qU5+/ON+XljeTSf2nh54ecYZFxhlGaZplH1XA4X697ev9ey6tye2y7FUKf7uhiqlWXNVqQj7sJW5uaVoptfoFWprn/Ia1j/ALCmof8ApXNWXWprn/Ia1j/sKah/6VzV/Lp/Txl0UUUAFFFFAGpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNZdABRRRQAUUUUAamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9ZdABWpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRXjPxr/AGg/hB+ztpPg7XPjH4u/4Q/SvH/xC8N/Crwjdf2B4n8Qf2t498XLfP4e0HyPC2i63c2H9oLpt6f7U1OGy0a08nF9qNsZIRJ7NRH3oynH3oQrSw85x1jCvGlSryoyktI1Y0K9GtKm2pqlVpVGuWcWx+64xlpKdP20E9HOl7WeH9rFPWVP29OpR51ePtYTp35otIooooAKy9c/5Ausf9gvUP8A0kmrUrL1z/kC6x/2C9Q/9JJqAPnOvx7/AOC+P/KJj9q//uhX/rSvwcr9hK/Hv/gvj/yiY/av/wC6Ff8ArSvwcr0cn/5G2Wf9jDB/+pFM4M1/5FmY/wDYDiv/AExM/wA3Ov7yv+DXX/kwH4v/APZ4Xj//ANUt+z9X8Gtf3lf8Guv/ACYD8X/+zwvH/wD6pb9n6v03jP8A5EVT/sLwX/pyqfnfCX/I5p/9guL/APTdI/pGooor8hP1MK1If+QLqH/YU0f/ANJNcrLrUh/5Auof9hTR/wD0k1ygDLooooAKKKKACszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/b/APhMvP8AtH2mH7L/AGd5XkXH2zzLXTrM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/4RW7+FmmfYvsnkN5/2/wD4TLz/ALR9ph+y/wBneV5Fx9s8y1wry5I037X2XNicNC/Jz8/PVcfY2+z7f+H7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/2ff619V1+tc3sbO1jTooorc84KKKKACtTUP+PTQ/8AsFzf+nrWKy61NQ/49ND/AOwXN/6etYoAy6KKKACiiigArU1z/kNax/2FNQ/9K5qy61Nc/wCQ1rH/AGFNQ/8ASuagDLooooAKKKKANTQ/+Q1o/wD2FNP/APSuGsutTQ/+Q1o//YU0/wD9K4ay6ACiiigAooooA1NP/wCPTXP+wXD/AOnrR6y61NP/AOPTXP8AsFw/+nrR6y6ACtTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAK/IH/go540+J3ib9o39hP9j/wv8afiJ+zr8Ov2mfFHxXm+JXxQ+E2v2Xgz4k3Y+GXhrR/EXhjwV4O8czrNd+GL3xBrFwmn3TWNvNLqr6jp2ny2+p2T3mian+v1eA/tF/st/AH9rPwRD8O/2hvhnovxK8KWmp2+s6da6hdaxo2q6Nqls6Mt9oPifwxqWieKdAnuI0+yag2i6zYf2np0k+maiLrTrie1kynFurg5uEa1KhjaGIr4adSdKGJo04YuDpSnT1Xs6tfDY2EJJ0a1bLqOHxCdCtO2kJJU8XBTlSqV8FisPQxEIQqTw1etCkqdeMJ+62lTq0W1adOGLqVaTVWnFv8An1/4KF+Frn4Z/snfCn4SXf7e0X7QN78Of+CmXwrsLb4r+O9T8JeK/id+zjpV/o3xCu9N8N/G7xAniPXx4u8SeALmLUPEN3rPjfSfC013aRy6ZL4c0zw/p1lp9l64PiJ8Qv2B/wBrz46/BKT9s/46/GH4L3H7BnjP9o3WfFn7QGqj9onx58CvH/h3Vr7RfDniHSrTb4ZsrzTb55rKfTvAYufDGleJ5dY0ux1adSNG1o/qSP8Agmx+w+Pgp4X/AGdR+z54YX4NeEPiJafFjS/Baaz4ySHUPiFY21/Y2/iXxfrS+JR4k8f3P9majcaPcWnjrWPEem3mhx2Gh3llPpOl6ZZWdn4Nf8E4v2I/gD4d+JfhX4V/s9+ENC0T4waFeeFviPBq9/4o8b3fibwtqERhvfDE+rePNf8AE2r2Hhu6+SefQdJvtP0mS9httQazN9a21xE3GrGjmMKdZuriJZnVjVcVBY6WM4RyzIMNQxUINPCRw2ZYP+1Y46i5Zg6mDwdSrWliMRiuUUqTlgHOklDDyoxlTUnJYZU+LJ59LE0JNP6xOeXyr5bUwFVRy+UM0xlOnTjRpRc/wo/Yz+MH7Uvgn9vD9krSNX+J37XusfBj9p34N/EXxxf6n+2F8cPAPjSz+JHh+y+GFz41g+JnhX9n/wAJ61r4/Zj0Sx8bacr6Bouq+O/F2s6h4TlFlaa/BpkWvWLeX/s5ftBftT/Dv9qr4F+Ov2jfjf8AteXfhP4k/HW48NT/ABg8AfF3wp+1f/wT++Nt38RPHHiLw3pHw48I+GfBl34f+H/wQEFlBeSQ/wBk+Ovij458GSaGtza/B/wnA6R6L/QP8Gv+CXn7CH7PvjDwT8Qfg98ANL8F+OPh3rXiXX/Cfiu28bfE7Vdesr/xd4dg8Ka5DqGpa9421W58RaNLoUL2un+HPEkmr+HtDnv9Z1LQtL03U9d1q8vzwh/wS6/YH8BfGy3/AGh/CX7N3hPR/ivZeJb3xhp2sx6343uvD2keJr55pm1jRfh3feKLr4b6LdWNzO17on9leErOLw9qMdtqOgx6bfWdpcQ9tCpRo4/LK3I3hcFTx9CrBxhKpLCVs4rY/C0IRtCi6lPAYieXe25HRgqNGFTC1cvhQow469OrVweY0lNRxGM+oVYTi5xh9cw2XYvC168pNzqRp1ca8Hj50lJTqKNVQrUcfFYip+Ji2fxh+M1r/wAFcPihqf8AwUS/af8AhTqn7Hvx6+POr/Cf4b+DfjdqWieE/D9hora/qnh628caRdi/1vVPh74hu/DNp4N8EeD9I1LRdA0e90nxGNI0/UL3V7+xk/cv9nbxX8T/ANpH9jP9l74u+LfH/i34d+ONf8B/Dr4p/EE+C9C+HtvbfE6FPDctxrXgzxPp3jnwD4wTRvAfxFNzDqusz/DhPAnjezhNmPBHjvwxaNL9q+Mfhh/wRv8Agp4j+KH7TvxG/bB+Gfwu+L178S/2p/H3xu+D194f8S/ESw1fQPBXi2/TUbbw148bTIvAkerPHdRLcXXhO+uPGfhGCae+a2ml/tG/Nz+yF3p2n6R4VudJ0mxs9L0rS/D82nabpunW0Flp+nafZac1tZ2NjZ2yRW1pZ2ltFHb21tbxxwQQRpFEiRoqjlwP7nKMHQq/x55TwqpUNJrB4zA5LVo5tWqV6l8RLHZhiq9GhjqHtKuHpvLoVo1a1arCpHpxtq2Z4itS/gwzDPHGt8DxGFxVfLHgMPToU7UPqeDeGxuLwuIcIYicswrUJU6dOFT2vif9oWn/AEA9L/7/AGtf/Livx2/4L8XlvL/wSU/axjj0qwtnb/hROJoZNUaVMftLfBtjtFxqVxCdwBRt8L/KxK7X2sv661+Pf/BfH/lEx+1f/wB0K/8AWlfg5XpZP/yNss/7GGD/APUimefmv/IszH/sBxX/AKYmf5udf3r/APBrbdQQf8E/vjAkunWV4x/bF+IDCW4k1BXUH4K/s+ARgWl/ax7AQWBaMvlmy5UKq/wUV/eV/wAGuv8AyYD8X/8As8Lx/wD+qW/Z+r9N4z/5EVT/ALC8F/6cqn53wl/yOaf/AGC4v/03SP6Wv7QtP+gHpf8A3+1r/wCXFH9oWn/QD0v/AL/a1/8ALisuivyE/UzU/tC0/wCgHpf/AH+1r/5cVpRX1qdIvn/sfTQq6lpSmIS6vsctbawVkYnVTIHjCMqBJFQiWTzEkYRNHzNakP8AyBdQ/wCwpo//AKSa5QAf2haf9APS/wDv9rX/AMuKP7QtP+gHpf8A3+1r/wCXFZdFAGp/aFp/0A9L/wC/2tf/AC4o/tC0/wCgHpf/AH+1r/5cVl0UAan9oWn/AEA9L/7/AGtf/LisnUPGVra674S8J/8ACNabIuvaT8Q/EQvDe6uiWR8JXnww01rZbUXxknfUx40WV7h71EtBpMccdrK17LLC6szUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/b/APhMvP8AtH2mH7L/AGd5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/4ftP+Xdua6PRy2j7eri4/U/rvs8pzbEcn1j6v9X+r4KNX+0Oa69r/Z9/rX1XX61zexs7WOn/ALQtP+gHpf8A3+1r/wCXFH9oWn/QD0v/AL/a1/8ALisuitzzjU/tC0/6Ael/9/ta/wDlxR/aFp/0A9L/AO/2tf8Ay4rLooA1P7QtP+gHpf8A3+1r/wCXFaV9fWq22jk6Pprh9NlZVaXVwIgNX1VPLj2aqrFCytKTK0j75HAcRiOOPma1NQ/49ND/AOwXN/6etYoAP7QtP+gHpf8A3+1r/wCXFH9oWn/QD0v/AL/a1/8ALisuigDU/tC0/wCgHpf/AH+1r/5cUf2haf8AQD0v/v8Aa1/8uKy6KANT+0LT/oB6X/3+1r/5cVpaxfWqavqqNo+mysupXytLJLq4eQrcygyOItVjjDuRuYRxxoCTsRVwo5mtTXP+Q1rH/YU1D/0rmoAP7QtP+gHpf/f7Wv8A5cUf2haf9APS/wDv9rX/AMuKy6KANT+0LT/oB6X/AN/ta/8AlxR/aFp/0A9L/wC/2tf/AC4rLooA6bR761fV9KRdH02Jm1KxVZY5dXLxlrmICRBLqskZdCdyiSORCQN6MuVOb/aFp/0A9L/7/a1/8uKND/5DWj/9hTT/AP0rhrLoA1P7QtP+gHpf/f7Wv/lxR/aFp/0A9L/7/a1/8uKy6KANT+0LT/oB6X/3+1r/AOXFH9oWn/QD0v8A7/a1/wDLisuigDprG+tWttYI0fTUCabEzKsurkSg6vpSeXJv1VmCBmWUGJo33xoC5jMkcmb/AGhaf9APS/8Av9rX/wAuKNP/AOPTXP8AsFw/+nrR6y6ANT+0LT/oB6X/AN/ta/8AlxWlo99avq+lIuj6bEzalYqsscurl4y1zEBIgl1WSMuhO5RJHIhIG9GXKnma1ND/AOQ1o/8A2FNP/wDSuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArL1z/kC6x/2C9Q/wDSSatSsvXP+QLrH/YL1D/0kmoA+c6+FP8Agpd+yp8Q/wBtr9iP43/syfCrWfBnh/x58R7fwBcaHq/xB1HXNK8I2qeAvin4H+JOsDVb/wAOeHfFeswPc6F4P1O000WegXwm1aexgums7OW4v7X7rr8rP+C2XxH+Ifwk/wCCYv7TXxA+FPjzxn8MvHugp8HI9D8b/D7xRrngzxdoyaz8f/hVoOsJpXiXw5fabrOnJquhapqei6ktnewi+0nUb7TroS2d3cQyduWqrLMMDGhOFOu8ZhlRnUg504VXWgqc5wTTnCMrOUU05JNJq5yZg6SwONdaM50VhcQ6sISUJzpqlNzjCbTUZSjdRk01FtNp2P5iP+IXX9v7/or/AOx7/wCF/wDGn/6H6v6Xv+CNP7Bfxf8A+Cd/7MPjv4K/GrxH8NvFHinxR8efE/xRsL/4Xax4n1rw/D4f1r4e/C7wna2d5deLPB3gnUY9Yj1HwTqs1xbw6VcWSWVxp8keoSzy3NtafwLf8PD/ANv/AP6Pl/bD/wDEmfjV/wDNtX+gB/wRK+InxA+K/wDwTE/Zl8f/ABS8c+MfiV4717/hc/8AbvjXx/4m1rxj4t1r+y/2g/ivoumf2t4j8RX2o6xqP9naPp2n6TYfbLyb7HplhZ2Fv5drawRJ9rxTDO6OWxWYY7AYnD1cVRh7PDYKeHqKpCNarCXtJ1ZrlXLJOKV3dapJnx/Dcsnq5hJ4HB43D16WGqz58RjIV6bhKVKnOPJGnF8z5otSbsrPRtn6q0UUV+en3YVqQ/8AIF1D/sKaP/6Sa5WXWpD/AMgXUP8AsKaP/wCkmuUAZdFFFABRRRQAVmah4k+y6z4Q8IfYvM/tzS/iN4k/tD7Rt+y/8Ird/CzTPsX2TyG8/wC3/wDCZef9o+0w/Zf7O8ryLj7Z5lrp1mah4k+y6z4Q8IfYvM/tzS/iN4k/tD7Rt+y/8Ird/CzTPsX2TyG8/wC3/wDCZef9o+0w/Zf7O8ryLj7Z5lrhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8AD9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/1fBRq/wBoc117X+z7/Wvquv1rm9jZ2sadFFFbnnBRRRQAVqah/wAemh/9gub/ANPWsVl1qah/x6aH/wBgub/09axQBl0UUUAFFFFABWprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1AGXRRRQAUUUUAamh/wDIa0f/ALCmn/8ApXDWXWpof/Ia0f8A7Cmn/wDpXDWXQAUUUUAFFFFAGpp//Hprn/YLh/8AT1o9Zdamn/8AHprn/YLh/wDT1o9ZdABWpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDQB9GUUUUAFFfKmmfts/s1az8bn/Z803x5rFz8Qh4p1fwBb6kPhj8WIvhFqfxM8P6Jd+I/EHwk0P8AaGn8Dxfs/wDiD4y6BoWm6xqeufB7RPibqHxN0i18P+JX1HwpbHw3ry6d7t49+Ivgz4YaNp3iDx1rkWgaRq3jDwJ4B067ltNQvjd+LviZ4z0L4feCNGittMtL2783XPF3iTRtKFy0C2OnrdvqWq3VjpVpe31sQ/eU6FWn+8pYqShhqkPehiJyq06EYUZLSrKVatRpwjC7nKtQ5FOFehVxDknCdSnNONSlFzqwkrSpxUKlSUpp25YxhSqynJu1P2NaNR0qlGtRodrRUU88NtDNc3EscFvbxSTzzSuscUMMSGSWWSRiFSONFZ3diFVQSSADXyX4C/bl/Zy+Js3wRtvBOt/E3WLj9ouDxjqfwihl/Zz/AGjtHl8ReFvAj6LHr/xE1aPXPhPpreBvhNI/iXw0nhv4v+Px4X+F/jZvEvhweC/F3iA69pP2wi1OoqUPeqv2dqcbuf72VWFLRL/l5LD11C7V1Qry92nRq1qSl7sHUl7tNe0vN6RXsqcKtTV/8+6dSnOdk7RqU95VKdOp9c0UUUAFFFFABRRRQAUUUUAFFFfD/wDwUc/aZ8Ufshfsc/GD47eB9M0/VfGvhqz8PaP4Ti1i2uLvRrLXfGPirRfCVnrOrW9sVeez0P8AtmTV/sskkNvfXFnBYXE0UV0zjKtV9jTc+SdSTnRpU6VPl9pWr4nEYfCYahT5506anXxWLw1CMqlSnSg6ynVqU6UKk47YehLE1qdCDjGVRv35tqEIwhUq1Kk3FSlyU6VGrUlyxlJqHLCMpyhF/VusfEf4eeHvF/hT4fa/488GaH498eRavN4G8Eax4o0PTPF/jOHw/am+16Xwp4avb6DWfEUWiWQN5q8mkWV4um2oNxeGGH567Ov5m9Z8E/tbfDn/AIKTf8Eybn9p/wDaR8IftJa7q/gL9p7xP4X8WeH/AIX+GPhhqPhXUrj4GXsviXwk+n+FWg0Pxb4S068h0jUPCXjC48PaFrWqy6hr8Ws6bb2sGk2Vr438N/22P+CpVx8A/wBkH9qC4/af+GnjCz/aB/abm/Zdsvg/4l/Z58HjSbuXxBrvjPw/pXxF8aeKPBP/AAiHia51XRtVsmisfCngVvCOmS6doPhq71O/1q9vvE1jqXTTpyqSpUY2qYmeKxOEmqbtQjiP9aMRwtl2GVSoqc/b4nMMPKlXnKCwmHc44r26wEK1WnyTqwUHiE39VeXYPMaM5J+2q0KvDuL4mxlZU4qUY0aGWYSdejGTjiqnJUoTorFOlTn/AFd6lqWnaNp1/q+r39lpWk6VZXWpapqmpXUFjp2m6dYwSXV7f397dSRW1nZWdtFLcXV1cSxwW8Eck00iRozChqF5aah4avr+wure+sb3Q7m8sr20niubS7tLmwea2urW5hZ4bi3uIXSWCeJ3ilidZI2ZWBP8qP7VPxY/a+8Zfsr/APBVz9mD44ftFaX8T9Q/ZJ8Yfs96xN8TrX4N+BfBN/8AE74f/EkpdXfw3vPC/hwQaR4RtLDXLTw/4ks/EthPrHiaO6s9V0e51O/0jUrZNN/fn4JeCv2hPDf7LHwM0HWPjv4O+IHjHSrHQdZ+JXjzxf8ABBbN/Gvwou7XUtTm8A+EvDPgL4l+CNH+H3jbT/Dl94f8L6D8TdTb4g6TbHQbnW9e+Gfia91p4bCaEVWoYrEKcPZUo5DVwslz/wC1UM8yzMsxjUtKMZUpUFl1Wk6c4py9lXqOT5sLCrpXbo16OHcZOrKtnNDExfKvq9TKcTlVBNNScalPEQzXD1VKMnODr4em4JxxksP2Nfjz/wAF9P8AlEv+1h/3Qr/1pX4N1+zXnaL/ANA/VP8AwcWn/wAo6/HT/gv1Jpbf8Ekv2shb2d/FMf8AhRGySbUre4iX/jJf4NFt0MelWzvlNyriZNrEMdwUo3fk/wDyNss/7GGD/wDUimcOa/8AIszH/sBxX/piZ/mvV/pJf8EC/wDlEv8Asn/911/9aV+Mlf5ttf6UP/BAWTS1/wCCSX7JouLO/lmH/C998kOpW9vE3/GS/wAZSu2GTSrl0wm1WzM+5gWG0MEX9E45/wCRTh/+xhS/9R8SfB8G/wDIzr/9gNT/ANP4c/XeitTztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6/Kj9LMutSH/kC6h/2FNH/9JNco87Rf+gfqn/g4tP8A5R1pRS6R/ZF8RY6kIxqWlB0Oq2pdnNtrHlssn9jhVRVEodDE5kLxsskYjZZQDmaK1PO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjoAy6K1PO0X/oH6p/4OLT/wCUdHnaL/0D9U/8HFp/8o6AMuszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/b/wDhMvP+0faYfsv9neV5Fx9s8y16fztF/wCgfqn/AIOLT/5R1k6h4p0i113wl4ROi6lJHruk/EPxGl8NdtUe0fwpefDDTJLRoP7AdblNRXxnFMkwltzZHS5EaO9GoK1hhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8P2n/AC7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/1fBRq/2hzXXtf7Pv9a+q6/Wub2Nnaw6itTztF/6B+qf+Di0/+UdHnaL/ANA/VP8AwcWn/wAo63POMuitTztF/wCgfqn/AIOLT/5R0edov/QP1T/wcWn/AMo6AMutTUP+PTQ/+wXN/wCnrWKPO0X/AKB+qf8Ag4tP/lHWlfS6QLbR99jqTKdNlMQXVbVSif2vqoKyMdHcSOZBI4dViARkj8stG0sgBzNFannaL/0D9U/8HFp/8o6PO0X/AKB+qf8Ag4tP/lHQBl0Vqedov/QP1T/wcWn/AMo6PO0X/oH6p/4OLT/5R0AZdamuf8hrWP8AsKah/wClc1HnaL/0D9U/8HFp/wDKOtLWJdIGr6qJbHUnkGpXwkePVbWNGcXMu9kjbR5WjRmyVRpZCoIUyORuIBzNFannaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdAGXRWp52i/wDQP1T/AMHFp/8AKOjztF/6B+qf+Di0/wDlHQAaH/yGtH/7Cmn/APpXDWXXTaPLpB1fShFY6kkh1KxEbyarayIrm5i2M8a6PE0iK2CyLLGWAKiRCdwzfO0X/oH6p/4OLT/5R0AZdFannaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdAGXRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdABp/wDx6a5/2C4f/T1o9ZddNYy6QbbWNljqSqNNiMobVbVi6f2vpQCxsNHQRuJDG5dllBRXj8sNIsseb52i/wDQP1T/AMHFp/8AKOgDLrU0P/kNaP8A9hTT/wD0rho87Rf+gfqn/g4tP/lHWlo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3AA96ooooA/Kz4H6P+1F8J5dT/AGUZ/wBkO88UeCE+PH7QPjWL9rfXvjH8G9J+Dcvwx+Mfjz4lfGbRvEej+FbHW/F37RuofHXQ9X+Itj8PNX8Dax8DvCHgK7v9K8SeJ7H46jRxosOvfmXH+xL+0/8AE74XeBdC+OP7Aj+JtI/Z8+Bv/BKv4U2nww8beLP2S/iFqHxe8Vfsj/tL+J/EH7QviD4bxap8aNR+H9v4P1b4S+I7l/BE/wAVNa+FXifxT4f1PxL4d8Q+HdC1HUj4bm/pDvtd1WG9vIY7rbHFdXEca+RbHaiSuqrloSxwoAyxJPUknmqv/CQ6x/z+f+S9r/8AGKeFk8NVwdZWrVcG8snGdaMW6lbJo4ChlteapqnGFXDYLAQwsXQjT5p1quYOazCnhJ4SqklUpYmgoqlSxTxyqQpud1TzP288wpRqTnOpyYnE154hubnOlFLBUm8C6kKn4yfAL9hnx9ZftA/ETUfH/wCyhoPhdNc0P9vDw1+0n8fvEmvfB3xVo37fXhD9o74qweIv2ffBmsaJonizxL8RfHuh/Cv4axr4T1fSf2l/BfgTSPg9bWY+GnwWj8Z/DzxBrGqW3e/sff8ABOPwz8EviD/wTd8dah+yn8FvA2v/ALNX/BPXxz8JPGHirRPBnwdi8QfDn48eKta+B+rXun6Lq3htZ9Vm1jXLvU/2k9Q1Pxh4Pmv9Hu7zxt8Rbi/19rj4k3zeI/2isZHmsrSaRt0ktrbySNgDc7xIzNhQFGWJOFAA6AAcVaqsLN4OFCNHR4ejSoxneUZONHA5xl8LcjhGjCOHzrFyjQw6pYaniJ4nE0qNOtm2dyzKK166xEZt8mJqV6lSmvgbxNTA1KvNGTkqsp/UKNKVWuqtapho4bCValTDZZlNLBFFFFQMKKKKACiiigAooooAK8r+NvwX+Hf7Q/wp8bfBf4r6EviPwB8QNHbRvEOl/aJrSdo0uIL6xv7C9t2Sex1XSNUtLLVtJvoW8yz1KytblQ3lbW9UorOrSp16c6NaEalKpFwnCV7Si7O2jjJNNRlGUZQnCcIThOFSEJwunUqUakKtKcqdSnJTpzjpKMou6aumurTTUotSlGUZRlKMvyq+EP8AwSM+Bnwj+LHwi+NJ+OH7WfxS8dfBLR/FfhfwNd/GT4u6P48sLHwX4n8F3nge28ERafceBbGHRvCnhLT9U1nUPCmleFD4cFrq2sXb6vNrOnQaZpun9v4X/wCCYHwC8JfBX9nP4E6b4u+L8/hH9mL9oHTP2kPAWo32v+C5PEer+ONK8Ra54mt9K8X3cHw/ttMv/Cj3+v3kM1jo2kaBq7WcVtGmuxzJLcTfo9RXQq1VTjVU5KpCpSrRnpzKtRzKrnFKre2tSOa1q2YOcuec8XWq1qsq0qlRTxdODjKDgnCVKdBw+z7CpltfJ50VFNKNJ5VicRl6pwVOEMLVlSpxpWhKn8B+Kf8AgnD8A/Geoftp3/iPVviRfj9urTPA2m/FmyOueHIbPwy/w60q503wtqfw2EPhFLrR9RsppodYkbxPdeMLOfVLK0LWY0/7Tp9z718Efgdp/wCzj8CdO+D+k/ET4rfFHSvCWka7b6b4t+NHi2Dxt49l0+5a8urPSbzXrbSNDtpNK0G2lj0fw/YW+mW0Gl6LZ2WnxK0durH6CrL1z/kC6x/2C9Q/9JJqzp/uoSp0/cpyoYLCyhH4Xh8tWKjgKVnzWWFjjcXClJctRQxFSnOtVptU4XU/e1Pa1Pfqe3xOK538Xt8ZTwtLFVLrlu68MFg1Ui703LDUaipQqw9s/nOvx5/4L6f8ol/2sP8AuhX/AK0r8G6/YavhP/gph+yn8Q/22/2Ivjh+zJ8KdZ8GeH/HvxHt/AFxoer/ABB1HXNK8I2qeAvip4H+JWsDVb/w54d8WazA9zoXg/U7TTRZ6BfCbVp7GC6azs5bi/te7LKlOjmWX1qs1TpUsbhalScr8sIQrQlOUrJu0Ypt2Tdls9jjzGnOrl+OpU4udSphMRTpwjbmnOdGcYxV2leTaSu1q90f5adf6SX/AAQL/wCUS/7J/wD3XX/1pX4yV/Nt/wAQuX7f/wD0V/8AY8/8L/41f/Q+1/W3/wAEx/2XPiB+xd+w98Ef2aPilrHg7XvHfw1/4WT/AG7q3gDUNa1Twld/8Jj8XfH3j/TP7Jv/ABF4e8K6xP5Gj+KtPtr/AO2aDYeVqcN7Db/arWOC8uPt+Ls1y3HZbRo4PG0MTVjjadSUKUpuSgqNeLk+alBWUpRW7d2tOq+O4WyzMMFmFari8JWw9OWEqU4zqKKi5utRkorlqTd2oye2yevf70ooor86PvQrUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcoAy6KKKACiiigArM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/wCEVu/hZpn2L7J5Def9v/4TLz/tH2mH7L/Z3leRcfbPMtdOszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/AIRW7+FmmfYvsnkN5/2//hMvP+0faYfsv9neV5Fx9s8y1wry5I037X2XNicNC/Jz8/PVcfY2+z7f+H7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/wBn3+tfVdfrXN7GztY06KKK3POCiiigArU1D/j00P8A7Bc3/p61isutTUP+PTQ/+wXN/wCnrWKAMuiiigAooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigAooooA1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4ay6ACiiigAooooA1NP/AOPTXP8AsFw/+nrR6y61NP8A+PTXP+wXD/6etHrLoAK1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhoA+jKKKKAPnnUvDur/8Jzf6/wD8J54r/sn7bdf8UR9j8D/8Iv8A8esll/x9/wDCGf8ACaf8fP8AxN/+Rv8A+Qj+6/5BP/Esql/wjur/APCUf2//AMJ54r/sn/oSPsfgf/hF/wDkHfYv+Pv/AIQz/hNP+Pn/AIm//I3/APIR/df8gn/iWV75LoWlTSSTSWu6SV3kkbz7kbndizNhZgoyxJwoAHQADimf8I9o/wDz5/8Akxdf/H6w+r0u1T+N9Y/j4n+L3/3n4P8Apx/u/wD1Dno/2rjf5sN/uH9mf8i3KP8Ac/5f+RT/ALx/1Mf+Rr/1NT8iP+Cgnw4Xxl8R/hdd3vwU8dfFXx3J8ONB0j9jzxv4O+D3jT4hW/7P/wC0rD8V/CWq638Q9W+JPhvStV0D9nVrrwvF4Tvm+KXja+8D6Jd+EfBfjrwkPFWqNrUvg3Xqn7fXhSw+KfxL8Ca0vwN+KXxN8ax+G7nwd+yB4z0r9n34p63L8Af2ofC/x40S18V/Em/8cHwuLD9n7S9S0XSPDeq6J8cfFsngzwP4z+G/g/xVbeGPHfivw/4vsNB8VfszFGkMccMa7Y4kSONck7URQqrliWOFAGWJJ6kk80+tMPBYf6tZ831bOY5zDRQ/fRk24Q5b+yqVIy5a2Lp2xFVwpTnd01FeZiYrE/XL+79cyiOUTslLlpJfHaX8SN1Fww037CCliVG/1qo4/wA0Wmfs4+DfCnij9o/XPE3wM+MHxs+EPxE/aDh+I/7e/h74j/8ABOjRdM8ZeMpLj45+MPEnhD4a/DrSfg5+z5Y/ED9uv4NeF5fFtt4u8SX/APwsX9t6wi8M+DtI07w5f+G9P1K+8EXfYeGPhdYeGfGv7DvinVP2avjpp3xS+HHhHxK9zqbfs2fHfxF8RrX9k7WdI+L+leBfhb4Q/au8Hav4g8PfswP8FPhj42udQ+IP7L2vWfhn4z/Hnx/4d+G/gvwrnWdF0y78Qf0W0VlTw/s8NRw6lCSo4HC4GLqYelUpypYXKsZldONSg5QpzpeyxX1f2DmubKKmZZLVxVWlm2LzCV1n7bEVsRNyvWqYypJRl7yeMxWDxEmqkoVH7SCwqmqjptLMKOVZnTw9GrkuCwsfyj/4JSeHvgtY+APi74t+CH7M/jX9jbw3498a+HtXf9mnxL+y58cP2WrfwDb6V4SsvD+h6rr2i/Fv4ZfDTw78SPjb4v0bTrbVfjj8QfhRB4u8HW2vR6J8O0+InxS/4QK0+LPj/wDVyiiu/EVvbzjO0oqNKjSip1qleSjShKKvVrfvZ3c5y/eOTjzOMeSlGhh8FnCHLKtJuLlXxOIxM3GHInOvUjN3XtKrlJRp0oSqzqTq15QdevOria2Jr4kooorAsKKKKACiiigAorK0PXdD8TaVZa94b1nSvEGh6lEZtO1nQ9RtNW0q/hWR4mmstRsJrizuolljkiMkE0iCSN0J3KwGrR0T6NRkn0cZRjOMk9mpQnCcWm1KM4Si5RnCUjv5Np+TjKUZJ9nGUJxknZxlCUWlKMoxKy9c/wCQLrH/AGC9Q/8ASSatSsvXP+QLrH/YL1D/ANJJqAPnOvys/wCC2XxH+Ifwk/4Ji/tNfED4U+PPGfwy8e6Cnwcj0Pxv8PvFGueDPF2jJrPx/wDhVoOsJpXiXw5fabrOnJquhapqei6ktnewi+0nUb7TroS2d3cQyfqnX48/8F9P+US/7WH/AHQr/wBaV+Ddd+VJSzPLoySlGWOwqlGSUoyTrwTUoyUotNaNNNNaNNaHFmTccux8otxksHiWpRbjJNUZtNNNNNPVNNNPVNM/mF/4Ilftl/tf/Ff/AIKd/sy+APil+1Z+0l8SvAmvf8Ln/t3wV4/+OfxP8Y+Eta/sv9nz4r61pn9reHPEXijUdH1H+ztY07T9WsPtlnN9j1Ows7+38u6tYJU/0AK/zbf+CBf/AClo/ZP/AO66/wDrNXxkr/SSr3uMqdOlmdCNKnTpReBptxp06dOLft8QruNOFOLdkldpuySvZJLxeE6lSpl1aVSpOpJYyolKpOdSSXsaDsnOc2ldt2TSu27XbuUUUV8kfThWpD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuUAZdFFFABRRRQAVmah4k+y6z4Q8IfYvM/tzS/iN4k/tD7Rt+y/8ACK3fws0z7F9k8hvP+3/8Jl5/2j7TD9l/s7yvIuPtnmWunWZqHiT7LrPhDwh9i8z+3NL+I3iT+0PtG37L/wAIrd/CzTPsX2TyG8/7f/wmXn/aPtMP2X+zvK8i4+2eZa4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v/D9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/wBXwUav9oc117X+z7/Wvquv1rm9jZ2sadFFFbnnBRRRQAVqah/x6aH/ANgub/09axWXWpqH/Hpof/YLm/8AT1rFAGXRRRQAUUUUAFamuf8AIa1j/sKah/6VzVl1qa5/yGtY/wCwpqH/AKVzUAZdFFFABRRRQBqaH/yGtH/7Cmn/APpXDWXWpof/ACGtH/7Cmn/+lcNZdABRRRQAUUUUAamn/wDHprn/AGC4f/T1o9Zdamn/APHprn/YLh/9PWj1l0AFamh/8hrR/wDsKaf/AOlcNZdamh/8hrR/+wpp/wD6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXyb+3ho/inXf2Mv2ndO8G+MP+EE15vgp8QLuPxH/AMI/p3ijy9M0zw9e6l4g0j+yNVlhs3/4Sbw/aan4Z+3s/wBo0b+1/wC2bJZL2wt42+sq57xb4W0Txz4U8TeCvE1mNQ8OeL/D+s+F9fsDJJEL3Rdf0650rVLTzYmSWL7RY3c8PmROske/ejKwBHDmeHqYvLcww1HldbEYLFUqKnLlg606FVUY1JNNKnKsqUKnNGUHSnUjUhOlKrCfZl9eGFx+BxNXm9lh8bhK9XkV5+ypYrD1KvIrr94qUKrptSjKNVUpwlCcKc4fyyfAD4gft5/Dj4V/8Enf2fvhJ+1xomh2H7Wnhf4q3Wn3+v8AwB+G+rWPwn+H2h+APBs/hrwzBZyQT6t471j4fTDxZ4n8Pa3fa94aPinXtW03R/GcV14c08wuuv8A7cP/AAU28Efs8/HD486v+0x8PNd0r9iH9ry7/Z48WaNF+zz4P0zVv2oLWP4haDYahf8AjbX1uZ9H+H9lpunaxp2kaZpfws8NeHdZOkahfy6v4kutetdO125/XL4I/wDBJn4H/AzxX+z74s0j4zftP+OZv2ZPEHj7XPhLovxM+I3hLxR4e0G0+IvhjS/C+seFINPg+HOlS6Z4QsYNL/tbR9E8OXWhLb67qOqX95PfrdmCPp/FX/BLv4A+LvgZ+0N+z/qXi/4wweDf2lf2g9S/aT8danY+IPBcXibSfHOqa34c1640rwleXHw+udKsPCaXnhiwjhsdY0XXtYW2mvEfXZJZIZrf2pV4Sxv1uTdSM8f9blCtFVrUv9bODK1GjUU+aNZYfhLCcXYWcdaOKxOMpRrRq4ieAxGA87D0YQo0sNVVqdOhhcNUlQcqPtE8o4yoZjWpez5KlD2+Z4zhXEYdRcK2GWFrToToKliY4j8u/wDgpP8At2ftvfAH9pnX9KtPix4v/ZR+ATaV8MtL+CPjo/ss+GPjN8CPib4l13QrjxH4ym+LXxe1e31bx54KutGvBeaPcaF8JfA3xF8THw/oj6ha+Bre7jGteIP3b0n4jeOPiD8EPg98RPhzY/Cj4i23xF0TwJrnjzXofHvi/wAGeE9P+H/ibwydR8YeNvhWsvwy8Za5401nTZ5oH8G/Dzxra/DJdetbiSDxP498FahYyQ3Pyn8e/wDglT8DPjt8SvG3xRtviz+078Dda+K3hXSPB/xo0b9n74t2/wAPvCfxp0jRdMm0K0X4naDd+FfEMHiFpfDszaBe20Uthpd7pzTNcae9/eX99d/enhrwF4S+Fnws0j4beAtGh8PeCvAfgi38J+FNDt5rq4i0rQNB0YabpdktzfT3V9dtBaW8SSXd7c3N7dSB7i7uJ7iSSV+XC8tPLZ0K2uJWOdSlN3qVJYf/AIUlN1a8m9JqtgXThTcOZ0m62FwcsPBYuZqtPE4Ws2uX+zMNRxcI8sKSxkMJlKqSpUoKKc3jKOaSq1JRlD2ddOhiK0cQqOB828nRf+ghqn/gntP/AJeV+On/AAX6j0tf+CSX7WRt7y/lmH/CiNkc2m29vE3/ABkv8Gg26aPVbl0wm5lxC+5gFO0MXX9d6/Hn/gvp/wAol/2sP+6Ff+tK/Buu7Kf+Rrlv/YfhP/T8DDM/+RbmH/YFiv8A0zM/j4/4ICiBv+Ctv7JouJJYoT/wvffJDClxKv8AxjR8ZSu2GSe2R8vtVszJtUlhuKhG/wBKHydF/wCghqn/AIJ7T/5eV/ms/wDBAv8A5S0fsn/911/9Zq+Mlf6SVfQca/8AI1w//YBS/wDT+IPD4Q/5Ftf/ALDan/pmgank6L/0ENU/8E9p/wDLyjydF/6CGqf+Ce0/+XlZdFfHn1RqeTov/QQ1T/wT2n/y8rSii0j+yL4C+1IxnUtKLudKtQ6uLbWPLVY/7YKsjKZS7mVDGUjVY5BIzRczWpD/AMgXUP8AsKaP/wCkmuUAHk6L/wBBDVP/AAT2n/y8o8nRf+ghqn/gntP/AJeVl0UAank6L/0ENU/8E9p/8vKPJ0X/AKCGqf8AgntP/l5WXRQBqeTov/QQ1T/wT2n/AMvKx9Q8QaXa+IPCHg7F/Jba5o3xG8S/2t9mt1ntZ/Ct78LNL/s7+zPtzRzxX8fjL7T9u/tKF7V9O+z/AGG4W8+0WslZmoeJPsus+EPCH2LzP7c0v4jeJP7Q+0bfsv8Awit38LNM+xfZPIbz/t//AAmXn/aPtMP2X+zvK8i4+2eZa4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v/D9p/wAu7c10ejltH29XFx+p/XfZ5Tm2I5PrH1f6v9XwUav9oc117X+z7/Wvquv1rm9jZ2sdP5Oi/wDQQ1T/AME9p/8ALyjydF/6CGqf+Ce0/wDl5WXRW55xqeTov/QQ1T/wT2n/AMvKPJ0X/oIap/4J7T/5eVl0UAank6L/ANBDVP8AwT2n/wAvK0r6LSDbaPvvtSVRpsoiK6VasXT+19VJaRTrCCNxIZECK0oKKknmBpGij5mtTUP+PTQ/+wXN/wCnrWKADydF/wCghqn/AIJ7T/5eUeTov/QQ1T/wT2n/AMvKy6KANTydF/6CGqf+Ce0/+XlHk6L/ANBDVP8AwT2n/wAvKy6KANTydF/6CGqf+Ce0/wDl5WlrEWkHV9VMt9qSSHUr4yJHpVrIiubmXeqSNrETSIrZCu0UZYAMY0J2jma1Nc/5DWsf9hTUP/SuagA8nRf+ghqn/gntP/l5R5Oi/wDQQ1T/AME9p/8ALysuigDU8nRf+ghqn/gntP8A5eUeTov/AEENU/8ABPaf/LysuigDptHi0gavpRivtSeQalYmNJNKtY0ZxcxbFeRdYlaNGbAZ1ikKglhG5G05vk6L/wBBDVP/AAT2n/y8o0P/AJDWj/8AYU0//wBK4ay6ANTydF/6CGqf+Ce0/wDl5R5Oi/8AQQ1T/wAE9p/8vKy6KANTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LysuigDprGLSBbaxsvtSZTpsQlLaVaqUT+19KIaNRrDiRzII0KM0QCM8nmFo1ikzfJ0X/oIap/4J7T/wCXlGn/APHprn/YLh/9PWj1l0Aank6L/wBBDVP/AAT2n/y8rS0eLSBq+lGK+1J5BqViY0k0q1jRnFzFsV5F1iVo0ZsBnWKQqCWEbkbTzNamh/8AIa0f/sKaf/6Vw0AfRlFFFAH5BfCv/grL4Ih8O/FHXP2mPh947+EHhP4deI/2210748Hw34eh+BXj/wAPfsc/GLxv4R8XaD4QFr8TvGHxVi8d+G/AGg6drPiG48a+APBXg3xfrel+NZPhxrGqWui3Ol6dynwy/wCCyXgX9o/xb+zno37Nvwn8S+PNP8f/ALTmr/Aj44xaT8S/2SPizcfCrRYf2ePHfxo0PxNaeMP2f/2s/iZ8LNffU10C21u5s/BPjb4k+KdN8L+CviP4b1LwHYfEW+8BaJrr9K/Yw/YAiuPiLpvjD9sjXviZ8M/Hg/aeudL+DPjH9oT4Kaf4B+GOv/tgeMNW8ZfHHxZ8N9V+H3hXwN8U7LxFrN5rmq6d4an8VfEjxbYeBNN1DUZfB2naLrOravrF/wB9a/BD9my7sPh8/wAQf+ClPxQ+MHjH4e/GeL4wWvxE+JXx4/ZevNe1qzf4QeJPgZq3wlu/Cvhb4TeFPhJ4Y+GXiX4e+LvEVt4jl+Gfw18BfE7VfEWqXPjST4lJ4vkbW29Ohw9xTGhQnW4bzypiaOCwLlReRZ5To4jGUsslSrwxdSnkcop182i6mMlhIwwsstnhsTgZRzZZhhpeTX4i4ZliMTGhxJkVPC1cZmipVHnvD9SvRwdWVSeClRpzz2EOajQnTjho15yqwzGNaljlLJlg8RT9n/Y3/wCCjvwP/bZ+IPxz+F3w40Lxj4S8cfs/jwnc+NfDvjbxB8D9X1lNN8aax470HR5NS0P4PfGT4sa/8MvFFlqfw71+18W/CH47aV8Jvjn4Anm0i38d/C/w3danDAP0Ar8w/wBmr9j/AOBH7AHh7xH+0On7SHxr+KXgbw3+yv8ACf4N6frPxIf4Oaz4U8Jfs5/s+yeN/FHws0v4eeGv2d/gT8M11aTTNM8f63p+nXGlaZ4l8SePILjSBOviTxPNFqF79sfDT4//AAl+LPwvuvjJ4T8UT2Xw/wBLPiiPxLqPxB8M+LfhFrfga58EXV9Z+MdP+JPgr4s6F4K8b/DPVfC8um3kmvaR4/8ADnhvU9Ks401C8tIbCe3uZeLFPC0bxp1JxeBwkHmksUlhpUKtOvmdKeJxNOrOEcHGthsJhcTiKcpqhgcRLMMO6sKGFp4iv6VJ1Kk7pQlTxmIf9mxoz+sKvTnQwdX2OGqU4c2LjTrYipTw1RU/b4rCywVaVOeJr1qFH2Sivk2H9t79m/UtH+A3iHwp4p8bfEvQf2mLe91H4M638HPgf8dvjVpPiTw5p2r+HtCv/HGtaj8Jfhr4zs/h/wDDez1LxZ4biuPiZ8RpvCfw/it9ZsdQbxINPl+1D6yrLlko8zjJRVSdJuUZRtUpwoznTanGElOEMTQlJOC5fbQTanz06VqUXy2lGXPTVWLjKMlKm6teiqkZQlOMoOthsRTTU3edGorWipzKKKKQwooooAKKKKACiiigAooooAKy9c/5Ausf9gvUP/SSatSsvXP+QLrH/YL1D/0kmoA+c6/OD/grj+z58X/2qP8Agnn+0L8CPgN4R/4Tv4reN4vhdN4Y8K/2/wCGPDH9pxeEPjT8OPHHiJv7c8Za14e8N2X9n+FvDWt6pt1DWLRrv7F9isRc6jc2lpP+j9fnB/wVx/aD+L/7K/8AwTz/AGhfjv8AAbxd/wAIJ8VvBEXwuh8MeKv7A8MeJ/7Mi8X/ABp+HHgfxEv9h+MtF8Q+G73+0PC3iXW9L3aho921p9t+22JttRtrS7g7Mu9r9fwPsPZ+3+t4f2Pteb2XtfbQ9n7Tk97k5rc/L73Le2pyY/2X1HGe25/Y/Va/tfZcvtPZ+ylz+z5vd5+W/Lze7zWvofzYf8EiP+CRH/BQ79l//god+z38c/jn+z3/AMIP8LPA/wDwtj/hKfFP/C2Pgf4m/sv/AISb4H/Evwfon/Ek8H/EvxB4jvftviPxBpGnf8S7SLv7N9r+13f2ext7q6h/tur+JH/gkR/wV3/4KHftQf8ABQ79nv4GfHP9oT/hOPhZ44/4Wx/wlPhb/hU/wP8ADP8Aan/CM/A/4l+MNE/4nfg/4aeH/Edl9i8R+H9I1H/iXavafafsn2S7+0WNxdWs39t1exxR9f8Ar9H+0fqnt/qlPl+p+19l7L21bl5vbe9z83Pe3u8vLbW55XDn1H6jV+ofWvY/Wp831v2XtPaeypX5fZe7ycvLa/vc3NfSwUUUV82fQBWpD/yBdQ/7Cmj/APpJrlZdakP/ACBdQ/7Cmj/+kmuUAZdFFFABRRRQAVmah4k+y6z4Q8IfYvM/tzS/iN4k/tD7Rt+y/wDCK3fws0z7F9k8hvP+3/8ACZef9o+0w/Zf7O8ryLj7Z5lrp1mah4k+y6z4Q8IfYvM/tzS/iN4k/tD7Rt+y/wDCK3fws0z7F9k8hvP+3/8ACZef9o+0w/Zf7O8ryLj7Z5lrhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8P2n/AC7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/1fBRq/2hzXXtf7Pv9a+q6/Wub2Nnaxp0UUVuecFFFFABWpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFAGXRRRQAUUUUAFamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNQBl0UUUAFFFFAGpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDWXQAUUUUAFFFFAGpp/wDx6a5/2C4f/T1o9Zdamn/8emuf9guH/wBPWj1l0AFamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDQB9GUUUUAfxueK/iR4s8eajDq/jjxf4l8Z6tbWUem2+qeK9f1XxFqMGnQz3N1DYQ3ur3d5cxWUVzeXdxHapKsCT3VzMsYknlZqXh7xtrfhHWLPxD4U8Qax4Y1/T/ALR9g1zw9qt9ousWP2u1nsbr7Hqemz217bfabK5ubO48mdPOtbie3k3RSyI3hf8AbPv/AJ/76o/tn3/z/wB9V/rZGrg4Yb6lDDYSGC9lKh9ThhcNHB+wkpKVD6pHDxwnsZKc1Kj9V9jJTmpUpKclL/I6VHGTxP12eJxc8b7WNf67PFYqWM9vFxca/wBclXli/bxcIONb617aLhBxqxcIOP8AW7deD/GXxw/Yg8FaLoutWtz8R/EfwY+EXi7w/rPjPVtdXS9X+IPh7TPCHj3QT421vTI9Q8RNoev+KdFsrbxfqNpbarqcmk3+pzjT9VnY2Vzd/Zv+GPxh8JaP41l+Nvhn4RjWvjj49+JXxV+KWgeBPHXijxx4V8D6zrMPgfwl4K+HnhO98W/CnwNd/FLw9deBfDdzeeMvHXiLRPhjdW/iaCOx0n4c6jo+uyXXhz0b9l1/M/Zn/Z2k/wCenwK+Eb/99+APD7f1r3Sv8qM6jChxFxJOlGMVWzjN6HIklSp0qOeZlKnGjThGnGkk8JgGuRJQeX4N0Y4f2c1W/wBWsk5q/D/DPtpSnPD5LlNWM5SlKcqtfJMq9pOrOcpzqyU6+LqRlOTk6mLxMqsq/NTVH8dfGv8AwT18beJPD/7Mejah8Lv2VviD4u+E2k+NPDlv8c/HGt+M7f4r/st3niv4mWHjqT4u/sux3nws8deHfEXxDNlpmlWkMNzB8A/Feh6ro1pd6Z8ZptLuptIh/YqiivJor2GFp4Om37ClONSEZO7jKOCy/L42+GK/2fLMN7SUaUKmIrOdfFVsVVWGlgvWmlUxEsTK7qzpulJ305XjMfjno+aX+8ZliOSLqOnRp8lLD0cPCWJ+ulFFFMYUUUUAFFFFABRRRQAUUV/OP8N/219S/Z4+FH7Vc3wX+Bnwxi+NPxa/4KyfE/8AZm+Fvh5fEPxFtvBvin4o+LrbQFtPij8Up/GHj3xbqYBa3iPiTRfAN94G8N3LDT7bRNI8KRzX+prMJc9eeHjGc6v1ahVo0qUeeriK+KzrLskw+GpwcqcXKrXzGMlL2keVUqkp8mHp1q9OpR5cP9YcoQpxxKpVp1JclKjRhlucZpiMRUmlOSjQw2T15NezcZKSim6sqFKt/RxWXrn/ACBdY/7Beof+kk1fgf8AtxfED/gprD/wT9/bK0H49/D39nLwPqvhvS/DsUvxf+DfjPxufAXxI+DPi2yNl4+8P+AvDep67dfE7w/8RPD+qz6Zoeo3fxBsdI8F+KtB1nxBYWmnyW9hBf659c/sDfBX4k/s3fsNfBXwh4V+FnwAs9W8X6vaeNPinZ+E/ij8Y9E8L6X8P/HOmm91T4ieGbnx34R+LPibxn8W7fw3B4Za6+GupX/w88Aavrr6ra6T4/8ABeiWGnR3elGPtf7Rk5QjDAxyf2Uoy53iambUcbiuRxcacqP1fD4Gu5KcfbSrU60XShRpwr4rOrL2bwEVGbnjJ5n7SMo8qoUculg6XteZSmqqr18bQjFxl7OFOpT5p/WJTw+G+q6/Hn/gvp/yiX/aw/7oV/60r8G6/ZrydF/6CGqf+Ce0/wDl5X46f8F+o9LX/gkl+1kbe8v5Zh/wojZHNptvbxN/xkv8Gg26aPVbl0wm5lxC+5gFO0MXXuyn/ka5b/2H4T/0/A48z/5FuYf9gWK/9MzP45P+CBf/AClo/ZP/AO66/wDrNXxkr/SSr/Ny/wCCAogb/grb+yaLiSWKE/8AC998kMKXEq/8Y0fGUrthkntkfL7VbMybVJYbioRv9KHydF/6CGqf+Ce0/wDl5X0HGv8AyNcP/wBgFL/0/iDw+EP+RbX/AOw2p/6ZoGXRWp5Oi/8AQQ1T/wAE9p/8vKPJ0X/oIap/4J7T/wCXlfHn1Rl1qQ/8gXUP+wpo/wD6Sa5R5Oi/9BDVP/BPaf8Ay8rSii0j+yL4C+1IxnUtKLudKtQ6uLbWPLVY/wC2CrIymUu5lQxlI1WOQSM0QBzNFank6L/0ENU/8E9p/wDLyjydF/6CGqf+Ce0/+XlAGXRWp5Oi/wDQQ1T/AME9p/8ALyjydF/6CGqf+Ce0/wDl5QBl1mah4k+y6z4Q8IfYvM/tzS/iN4k/tD7Rt+y/8Ird/CzTPsX2TyG8/wC3/wDCZef9o+0w/Zf7O8ryLj7Z5lr0/k6L/wBBDVP/AAT2n/y8rH1DxBpdr4g8IeDsX8ltrmjfEbxL/a32a3We1n8K3vws0v8As7+zPtzRzxX8fjL7T9u/tKF7V9O+z/Ybhbz7Ra4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v/D9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/wBXwUav9oc117X+z7/Wvquv1rm9jZ2sSUVqeTov/QQ1T/wT2n/y8o8nRf8AoIap/wCCe0/+XlbnnGXRWp5Oi/8AQQ1T/wAE9p/8vKPJ0X/oIap/4J7T/wCXlAGXWpqH/Hpof/YLm/8AT1rFHk6L/wBBDVP/AAT2n/y8rSvotINto+++1JVGmyiIrpVqxdP7X1UlpFOsII3EhkQIrSgoqSeYGkaKMA5mitTydF/6CGqf+Ce0/wDl5R5Oi/8AQQ1T/wAE9p/8vKAMuitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygDLrU1z/AJDWsf8AYU1D/wBK5qPJ0X/oIap/4J7T/wCXlaWsRaQdX1Uy32pJIdSvjIkelWsiK5uZd6pI2sRNIitkK7RRlgAxjQnaADmaK1PJ0X/oIap/4J7T/wCXlHk6L/0ENU/8E9p/8vKAMuitTydF/wCghqn/AIJ7T/5eUeTov/QQ1T/wT2n/AMvKADQ/+Q1o/wD2FNP/APSuGsuum0eLSBq+lGK+1J5BqViY0k0q1jRnFzFsV5F1iVo0ZsBnWKQqCWEbkbTm+Tov/QQ1T/wT2n/y8oAy6K1PJ0X/AKCGqf8AgntP/l5R5Oi/9BDVP/BPaf8Ay8oAy6K1PJ0X/oIap/4J7T/5eUeTov8A0ENU/wDBPaf/AC8oANP/AOPTXP8AsFw/+nrR6y66axi0gW2sbL7UmU6bEJS2lWqlE/tfSiGjUaw4kcyCNCjNEAjPJ5haNYpM3ydF/wCghqn/AIJ7T/5eUAZdamh/8hrR/wDsKaf/AOlcNHk6L/0ENU/8E9p/8vK0tHi0gavpRivtSeQalYmNJNKtY0ZxcxbFeRdYlaNGbAZ1ikKglhG5G0gHvVFFFAH+f/8A2z/t/wDj9H9s/wC3/wCP1zPjzw5rvw51e20PxBqXgnUb2602HVYpvAfxM+HPxT0hbWe6vLRIrnxB8MfFni/QLPUllsZ3m0a71KDV7e1ezvbixistR0+4uc3wjY6n428Q6f4Y0a98N2Wpan9r+zXPi7xn4Q+H/h6L7FY3OoTf2h4u8ea94b8KaTvgtJY7T+1dasvt989tplj9p1K9s7Sf/TmOb0pUPrMa8Hh/Zur7ZOXs/ZxUnKd/ZqXKlGV37K+j919f8x3k2JjX+rSoVFiPaKl7Fxj7T2knFRhbnceZuUbL2ltV7y6f3cfsmv5n7LH7NEnXzP2f/g0+eud3w68ON179a+gK+LfBPj28+AX7BPwj8XzaRpPi/wAQ+DP2dvgto2jeHdN8Z6AugeL/AB1qXhHwf4R8JeHbL4h6Q3iXw0ui+J/GWp6RpEHjTR/+Ek0ddPv11zS4tctRbxXfbfBb49eL/H/wt+IfiXx78J28MfFf4PeKfHPgX4i/Cn4ZeMV+LGn3vi/wbYWmvWen/C3xzr/hj4Ry+NbHxj4b1nw1qPhy98UeDvhvdxX+tHR/EGlaJLp13cj/ADWzqtTqZ1xHUjJyjh8zzXF1XGFSTdGtm+ZSjOlGNOU67SxGGc6dGnOrH63hF7Oc8TTpx/0myanKlk3DlKa5J4jK8rw1JScYp1qGU5XCcZylOMKS56VaEZ1akacp4fEr2kY0J1JfTlFflpN/wUV8b3Xw8+E3xO0T9m21TQtS+HUHxk/aP8O+LPjZpGjePfgP8Mrz4ln4Z2zeFdI8MeBfHfhf40ePre/03xfq+p+GovGvw88ILp3grWYNB+JPiPU7zw/Zax+pdefD36bqxs6aqRpuScX71TDUMZSa5ZSUqdbDYmFajVjOdOrGFZwk1Rk6noOcVU9k7qp7P2vK4yi+RV62GlfmjFqdOvQlCrTlGM6ftKDnG1eCgUUUUFBRRRQAUUUUAFFFFABX5E6p/wAEntF1n4T/ABu8CT/HTxDpHjfx7+2h4n/bg+EXxT8L+DrbSNV+CfxR1GGyTwxZvot54o1i38eab4de2uP7ReTUPCb69Ddr9lh8PX1na6gn67UVPIlOVWLlCrKnRpKrTnOnVhHD5jg82oSpVISjOjVo5hgMLiadam41YypunzSo1a1KrXO3T9k+WVL2rqypzhGdOcpYPMMvnGpCScalKpgs0x+HqUZp0qkMRLmjzQpTp/lLqH/BOv40/EH4EftNfDT9oD9ur4m/HH4h/tG+GNF8GQ+NdY8Cad4S+FXwx8P6Bd6be2svgz9nTwn4wsPBdt4k1WeyceJ/EtrremXmtRJp+yKwuI9buPEP6LeGPCf/AAgfwm8PeBvt/wDav/CGfDvSfCf9qfZfsP8AaX/CO+GrfR/t/wBi+03n2P7Z9j+0fZftd19n8zyftM+zzW9ErL1z/kC6x/2C9Q/9JJq0UmlVjFRhGt9S9pGEIQi/7OoY3DYRqMYqzp0sxx3PJNyrVMTOrXlUqKm6WbgnKnOTlKVP60oSlOUmljauCrYhXk7cs55dguWNlGlChGFKMYyqut851+PP/BfT/lEv+1h/3Qr/ANaV+DdfsNX5Wf8ABbL4cfEP4t/8Exf2mvh/8KfAfjP4m+PdeT4OSaH4I+H3hfXPGfi7WU0b4/8Awq17WH0rw14csdS1nUU0rQtL1PWtSazsphY6Tp19qN0YrO0uJo+3Kmo5nl0pNRjHHYVylJqMYpV4NuUpOMUktW20ktW0tTkzJOWXY+MU5SeDxKUYpyk26M0kkk223okk23ok2fxgf8EC/wDlLR+yf/3XX/1mr4yV/pJV/n//APBEr9jT9r/4Uf8ABTv9mXx/8Uv2U/2kvhr4E0H/AIXP/bvjXx/8DPif4O8JaL/an7PnxX0XTP7W8R+IvC+naPp39o6xqOn6TYfbLyH7Zqd/Z2Fv5l1dQRP/AKAFe9xlUp1czoSpVKdWKwNNOVOpTqRT9viHZypzqRTs07Np2adrNN+LwnTqU8urRqU505PGVGo1ITpya9jQV0pwg2rpq6TV01e6diiiivkj6cK1If8AkC6h/wBhTR//AEk1ysutSH/kC6h/2FNH/wDSTXKAMuiiigAooooAKzNQ8SfZdZ8IeEPsXmf25pfxG8Sf2h9o2/Zf+EVu/hZpn2L7J5Def9v/AOEy8/7R9ph+y/2d5XkXH2zzLXTrM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/4RW7+FmmfYvsnkN5/2/8A4TLz/tH2mH7L/Z3leRcfbPMtcK8uSNN+19lzYnDQvyc/Pz1XH2Nvs+3/AIftP+Xdua6PRy2j7eri4/U/rvs8pzbEcn1j6v8AV/q+CjV/tDmuva/2ff619V1+tc3sbO1jTooorc84KKKKACtTUP8Aj00P/sFzf+nrWKy61NQ/49ND/wCwXN/6etYoAy6KKKACiiigArU1z/kNax/2FNQ/9K5qy61Nc/5DWsf9hTUP/SuagDLooooAKKKKANTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhrLoAKKKKACiiigDU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60esugArU0P/AJDWj/8AYU0//wBK4ay61ND/AOQ1o/8A2FNP/wDSuGgD6MooooA/zR/7ab/nov6f40f203/PRf0/xryr+2D/AHj+lH9sH+8f0r/Qr6+v5l/4Ej/Pr+zl/L+DP9DX4B/DvR/jF/wT0/Z9+HWvajrmjad4z/ZP+CGnHXvC95baf4n8OXz/AAv8JXWk+J/DN/e2Wp2Nn4j8N6tBZa7oN1f6ZqdhBq2n2cl7pt/arNaTerfA39n+P4G6TFp9r8WPin8RtR1PVfHPir4jeJviP/wrKfX/AIueP/HOp6BeP4/8bN4I+GngbSNI1rwvpPh+Hwj4S0H4Y6R8O/h7p3ha7lsL7wVql3p/h7UNF5/9h9/M/Ys/ZBk/56fsu/AB/wDvr4UeEm/rX1FX8C5paGdZ3Vh7s8RmeZQqyWvPCOZ5m4xfNzJK0o83LGDn7PDuo6jw2FeG/vTK4qWUZJGa5lh8ry90k/8Al3KpleWRqONrO7UXbmcvZupWlS9lLEYiVf4O8R/8E/fhvr2jfDDwva/FP43eF/CPgLT7zw14x8LeHNa+HkWlfHvwBd/EC0+Ji/Dr4xT6x8M9Z1keF7TxTbTtb3fwq1X4W+L5NF1fxB4cvvFV5oOv6vp93940UV51OKpUo0KaUKMZQlGmtk6eHw+Ep6tyly0sNhaFClFzcKVOM40oQdbEyxHoSSlVlWkr1ZRcJTfxOLr18TJPZXnXxNarOSipVJyhzynGhho4YooopjCiiigAooooAKKKKACiiigArL1z/kC6x/2C9Q/9JJq1Ky9c/wCQLrH/AGC9Q/8ASSagD5zr4S/4KY/tW/EP9iP9iH44ftOfCnRvBfiDx78N7fwBb6HpHxC07XNV8IXSePfip4G+GusHVbDw34i8J6zO9toXjHU7vTTZ6/YiHVoLCe6W8s4riwuvu2vx3/4L7f8AKJX9rH/uhP8A60t8G67ssp062ZZfRqwVSlVxuFp1ISvyzhOtCM4ys07Si2nZp2e63OTMKk6WAxtWnJwqU8JiJwnH4ozhSnKMldNXi0mrp6rZnxH/AMEZf+CzX7UH/BRP9qDx58FPjX4D+Anhfwr4X+Anij4pafqHwt8L/ELRPEE3iDRPiF8LfCdrZ3l14s+KXjfTpNGk07xvqs9xbwaVb3r3tvp8keoRQRXNtd/0yV/BX/wa3/8AKQD4wf8AZnfxA/8AV1fs+V/epXq8VYTDYLN50MJRp4eisNhZqnTTUVKcKjnK0pzd5NJv3umyPO4dxNfF5ZCtias61V18RF1JtOTjCdNRWkYq0U2lp13YUUUV84e4FakP/IF1D/sKaP8A+kmuVl1qQ/8AIF1D/sKaP/6Sa5QBl0UUUAFFFFABWZqHiT7LrPhDwh9i8z+3NL+I3iT+0PtG37L/AMIrd/CzTPsX2TyG8/7f/wAJl5/2j7TD9l/s7yvIuPtnmWunWZqHiT7LrPhDwh9i8z+3NL+I3iT+0PtG37L/AMIrd/CzTPsX2TyG8/7f/wAJl5/2j7TD9l/s7yvIuPtnmWuFeXJGm/a+y5sThoX5Ofn56rj7G32fb/w/af8ALu3NdHo5bR9vVxcfqf132eU5tiOT6x9X+r/V8FGr/aHNde1/s+/1r6rr9a5vY2drGnRRRW55wUUUUAFamof8emh/9gub/wBPWsVl1qah/wAemh/9gub/ANPWsUAZdFFFABRRRQAVqa5/yGtY/wCwpqH/AKVzVl1qa5/yGtY/7Cmof+lc1AGXRRRQAUUUUAamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNZdABRRRQAUUUUAamn/APHprn/YLh/9PWj1l1qaf/x6a5/2C4f/AE9aPWXQAVqaH/yGtH/7Cmn/APpXDWXWpof/ACGtH/7Cmn/+lcNAH0ZRRRQB/lO/20f+en/oX+NH9tH/AJ6f+hf41n/EzxZ8JdV160uPg34N+IngPwwmkQQ3+kfEz4o+GPi1r1zry3l+91qVp4j8LfCH4K6fZaRNp8ml2sGiTeFr+8tryzv7+TxBdQalb6dpWR4F8TeA9P8AFWlXnxM8P+LvF3giH7d/bfh7wL420T4deKtQ8zTryLTf7K8Y+IPAHxR0jR/smrvYX199r8C65/aGnW15pUH9mXN9DrGn/wBrLMZOl7T2dVPkcvYuMPbXV/c5VXdPndtF7flu43qK7cf40eWNVfZ81JrnUfbJz9jZ29/mdFVORX1fsObR2pvRS/03f2EH8z9h79jSTr5n7Kf7PD59d/wi8Ht/WvqyvzG0nxPBo3/BJH4S+Kfh/eeLvh34Vj/Y2+AF5/bA8YST+Pvhv8I774e+AY/GfiJPiD4X8MeHJH8ZeAvhbc6/rcfjXw94S8MN/bmjLr2laP4cIggsPHPA/wAaPDsX7Dv7QcXw0/aH8Q+NfhnaeLvi9L8A/jHd/HTxP8SfiVrf7JHhXxL8PtK+MPxc+H3xz17W/GHxP+KWh/Bx/GnjvTvDvxqbxB4v1DTV0zwbjxreN/Yes3P8YZjX9pmeftKMJYTFVsRL21WnShbF5vUpWxFVuUMHTpfXlWlXqudOdHAZ1Ug+TKcTUP7BwFP2WAyGD5prFYKNNexhKrNLAZRCvP2NJKM8VVqrBSp06FNQqKpjcmjNJ5thon7OUV/Mhq3xNbUNY+Aeq/Df9tca/wDAXwJ8avjfcfsp+CfGP7Sf7Xmt/EX/AIKCaZbePfg0fCXw8+Dvx98EftS/B2y/aWn8J+I7H4reDtC1L4weI/2w7e88J6pZz618FfiD4Y+y+JZf6b6zhH2mFhilzxU8ROj7GrTlTr0rYXCYuCxEJaUcS6eKar4NSqV8FKFGGMWHrY3CUKuqqr2zoXhKUaHtpTp1I1aMrY7HYJ+wqR0r4eTwSq0MXGMKGKhUqLDOusFjKtEoooqDUKKKKACiiigAqOaVIIZZ3DlIY3lcRxvLIUjUuwSKNXkkfAO2ONWd2wqKzEAyVDcRSTW88MVxLaSywyxR3cCwPPaySIypcQpdQ3Ns0sLESRrcW88DOqiaGWMsjZ1vaKjVdL+KqVV0vdjL977Kp7L3Zzpwl+99n7s6lOMvhlUpxlKpCocrnBSdouUVJ+9pFyipP3VKWkXJ+7GUtPdjKXLF/ih+zL/wWE1z9p343eFfAvg79kvWbv4S+NPGHiTw5p3xN8HfHLwD8TfiN4N0XTNW1DRND8dfGz9nTwho9x4++CfgzV9StrGDUvEfjnUrPQNKTVLWfSdY8UQz2D6h6bP/AMFSrbSv2Xvjz8avEPwQnsfjH8CP2hLv9mPUP2dtM+IT6vqPiv4py+LNC8OeGbDw94zfwDpt1Np/iix1wa/Y3Y8CTSi00vVbe3tb6S181/iHw7/wR1/aTv8A9qf4XfFn4heJP2QNO0n4YfGqw+JVx+0H8GfB/wAQfhP+0n8SfD/hrxLrHivSdB8X/CfwFZ+Df2XdO1nxTeX9tpvi3xdo/hp/GKW0EF5d+KfFotLjTNYo+Ffh38Of2qP+C0PjXUPgn4i1nxR8AvhDqXgz45/tQ6C3h3xDoXhDT/2xfgwfiF8KPh5Y+d4h0zTJb/WrKW5bxLHPovm+H/EL6T4hvBPrSaeJ7PbCRhiHlGFnOUKuLwmNnmE4vmxOBw+V18gzOtmlVSpQhS+uYGjxBw9TWIw8ZUsyzXKKjoSdPCzxU4qToSzfFU6cZ4fCYrCywFKTaw+KljXneWYfKY1ozcqs1iMRw/nM6tCqnUwmWZxCEqVWtVw2EofGP9sr9uy6/aJ/4KTfD6/+HPifwf4I+Gn7I2rXenXfhf48+F7GH9nBYfhV4v8AFnhf4teHRoejeHvEnjjxD8T/ABVDYWtpJZGz8aeAoLq0bULq107Sl0+D9e/2afiP45uP2Hf2PfE2o+F/iR8ZvEnxG+DPwOsPHPiew8QeDLzWvDsfiv4b2F34j+MPxG1b4nfEDwjqniDw7ot2DeeLD4Rk8efFDU7jUop/D/gXxROb42vx/wDtKfsFftZeM/2kv2sPiP8ABDxj+z4nwp/bD/ZnX4KfEbSfinc/ESx8d+HNf0b4f+I/C3hm+8HP4T8NavoaaadYm0G81fU9Yub+caTe6/a23hqW9sdKu7r9H/2e/hjr/wAFP2VPg38HvFV3pGoeJvhb8CvBPw+8QX3h+4vbrQrzWfCHgfT9B1K50a51HT9K1C40ye8sJpLGa90zT7uW2aN7iytpS0KGBkllUo1YRpYmTy2MoScnWdShjuPJYppzlVbpKjjsjcKvtVKvTq0FUU/qlCOEnGRf13D+znKrShUxs5TgoxpOnVyDguhRlNQVNRqzx2BzmM6Cg6dCrTnOlGEsXXrYpn9n2n/Qc0v/AL861/8AKevxy/4L+2dvF/wSQ/azkj1WwuXX/hRGIYY9UWV8/tMfBpTtNxptvCNoJdt8qfKpC7n2q3681+O//Bfb/lEr+1j/AN0J/wDWlvg3Xfk//I2yz/sYYP8A9SKZx5n/AMi3MP8AsCxX/pmZ/N1/wazQxz/8FA/jCkt1b2aj9jj4gsJbhbpkYj41/s9gRgWltdSbyCWBaMJhWy4Yqrf3w/2faf8AQc0v/vzrX/ynr+Bf/g1v/wCUgHxg/wCzO/iB/wCrq/Z8r+9Sva4z/wCR7U/7BMF/6bqnlcK/8ieH/YTiv/S6Zqf2faf9BzS/+/Otf/Kej+z7T/oOaX/351r/AOU9ZdFfKH0Zqf2faf8AQc0v/vzrX/ynrSisbUaRfJ/bGmlW1LSmMoi1fYhW21gLGwOlCQvIHZkKRsgEUnmPGxiWTma1If8AkC6h/wBhTR//AEk1ygA/s+0/6Dml/wDfnWv/AJT0f2faf9BzS/8AvzrX/wAp6y6KANT+z7T/AKDml/8AfnWv/lPR/Z9p/wBBzS/+/Otf/KesuigDU/s+0/6Dml/9+da/+U9Y+oaxb2viDwh4L+0WEkeuaN8RvFH9teZqiwWr+Fb34WaT/Zf2L+xmuZ5b9fGX2v7VuhgtU07ysXEl5m1krM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/4RW7+FmmfYvsnkN5/wBv/wCEy8/7R9ph+y/2d5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/4ftP8Al3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/2ff619V1+tc3sbO1jp/7PtP+g5pf/fnWv/lPR/Z9p/0HNL/7861/8p6y6K3PONT+z7T/AKDml/8AfnWv/lPR/Z9p/wBBzS/+/Otf/KesuigDU/s+0/6Dml/9+da/+U9aV9Y2rW2jg6xpqBNNlVWaLVyJQdX1V/Mj2aUzBAzNERKsb743IQxmOSTma1NQ/wCPTQ/+wXN/6etYoAP7PtP+g5pf/fnWv/lPR/Z9p/0HNL/7861/8p6y6KANT+z7T/oOaX/351r/AOU9H9n2n/Qc0v8A7861/wDKesuigDU/s+0/6Dml/wDfnWv/AJT1paxY2r6vqrtrGmxM2pXzNFJFq5eMtcykxuYtKkjLoTtYxySISDsdlwx5mtTXP+Q1rH/YU1D/ANK5qAD+z7T/AKDml/8AfnWv/lPR/Z9p/wBBzS/+/Otf/KesuigDU/s+0/6Dml/9+da/+U9H9n2n/Qc0v/vzrX/ynrLooA6bR7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWGb/AGfaf9BzS/8AvzrX/wAp6ND/AOQ1o/8A2FNP/wDSuGsugDU/s+0/6Dml/wDfnWv/AJT0f2faf9BzS/8AvzrX/wAp6y6KANT+z7T/AKDml/8AfnWv/lPR/Z9p/wBBzS/+/Otf/KesuigDprGxtVttYA1jTXD6bErMsWrgRAavpT+ZJv0pWKFlWICJZH3yISgjEkkeb/Z9p/0HNL/7861/8p6NP/49Nc/7BcP/AKetHrLoA1P7PtP+g5pf/fnWv/lPWlo9japq+lOusabKy6lYssUcWrh5CtzERGhl0qOMO5G1TJJGgJG91XLDma1ND/5DWj/9hTT/AP0rhoA+jKKKKAP8fX+2F/vfqf8ACj+2F/vfqf8ACvL/AO1/9tfz/wDr0f2v/tr+f/16/qn66+8fv/4J/Mn1HzX3I/1mf+Ceb+Z+wF+w5J/z0/Y+/Znf/vr4LeCm/rX2DXxp/wAE5X8z/gnr+whJ13/safsvv/318EfA7f1r7Lr+Yce74/HPvjsa/vxmMf6n9I4FWwWCXbBYNfdhMIv0CiiiuQ6gooooAKKKKACiiigAooooAKKKKACsvXP+QLrH/YL1D/0kmrUrL1z/AJAusf8AYL1D/wBJJqAPnOvyr/4La/Dj4h/Fv/gmH+038PvhT4C8afE3x7ryfBuTQ/BHw98La5408X6ymjftAfCnX9YfSvDXhux1LWdRTStC0vU9a1JrOymFjpOnX+o3Ris7S4mj/VSvhL/gpj+1b8Q/2I/2Ifjh+058KdG8F+IPHvw3t/AFvoekfELTtc1XwhdJ49+Kngb4a6wdVsPDfiLwnrM722heMdTu9NNnr9iIdWgsJ7pbyziuLC67culVjmGBlQhCpWjjMM6UKknCnOqq0HCM5pNwhKVlKSTcU20nY5MeqbwOMVaUoUnha6qzhFTnCm6UueUINpSlGN3GLaTaSuj+ZL/g3B/ZV/ag+Bv7cHxU8WfGv9m/49/B7wrqP7Kfjjw7p/ib4pfB/wCIXw+8P33iC7+LvwN1K10Kz1nxZ4d0jTrnWbnTtI1XULfTILl72ay0zULqOBoLK5ki/tar8Ff+CIf/AAVI/aA/4KU/8NOf8L08H/B3wp/wpb/hS/8Awi3/AAqbw/410L7f/wALG/4Wx/bf9v8A/CYfEHx39q+y/wDCCaR/ZX9nf2V5H2nUvtf27zrX7H+9VehxHXxVfNq0sbRo4fEwpYelOlh6sq1JKNLmg41Jxi5OUKqclypJqyvqziyGlhqWW0lhKtWtQnUr1IVK1ONGo3KpyyTpxlJJRlTai7ttavoFFFFeEewFakP/ACBdQ/7Cmj/+kmuVl1qQ/wDIF1D/ALCmj/8ApJrlAGXRRRQAUUUUAFZmoeJPsus+EPCH2LzP7c0v4jeJP7Q+0bfsv/CK3fws0z7F9k8hvP8At/8AwmXn/aPtMP2X+zvK8i4+2eZa6dZmoeJPsus+EPCH2LzP7c0v4jeJP7Q+0bfsv/CK3fws0z7F9k8hvP8At/8AwmXn/aPtMP2X+zvK8i4+2eZa4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v/AA/af8u7c10ejltH29XFx+p/XfZ5Tm2I5PrH1f6v9XwUav8AaHNde1/s+/1r6rr9a5vY2drGnRRRW55wUUUUAFamof8AHpof/YLm/wDT1rFZdamof8emh/8AYLm/9PWsUAZdFFFABRRRQAVqa5/yGtY/7Cmof+lc1Zdamuf8hrWP+wpqH/pXNQBl0UUUAFFFFAGpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw1l0AFFFFABRRRQBqaf/x6a5/2C4f/AE9aPWXWpp//AB6a5/2C4f8A09aPWXQAVqaH/wAhrR/+wpp//pXDWXWpof8AyGtH/wCwpp//AKVw0AfRlFFFAH+fD/xCgf8ABRr/AKLT+xX/AOHF+Of/ANDlR/xCgf8ABRr/AKLT+xX/AOHF+Of/ANDlX+g9RX1n+uuff8/cJ/4R0/8A5afMf6oZJ/z6xP8A4V1P/lZ89/skfCfxH8Bf2U/2ZPgZ4xvdE1Lxd8GP2e/gv8J/FOo+Grm+vPDl/wCI/h18OPDfg/XL3QLvVNN0fU7rRLrU9Hup9KudR0jSr6exkglu9NsbhpLWL6Eoor5apOVWpUqzs51alSpNpWXPUnOpKy6LmqSsuisuh9LCEacIU435acIU43d3y04Qpxu+r5YRu+ru+oUUUVBQUUUUAFFFFABRRRQAUUV+bn/BWj42/Gr9n79hj4vfEf4D2t7b+MrRNE0e+8aabreg6RqPwz8Na7qkGnar43sLfXrDUF1u9ikms/Dtrp2kxQ67Zz+Io/EWl3lpNoRnTmxmJjg8NVxEoSqKmoJQi4xcp1KtKhTTnL3KUHVr0lUqz9ylTc6k7qCjPowuHlisRSw8ZRg6smueSclGMYVas2ox9+pJU6NTkpQ9+rPkpQ96onH9I6K/G2D/AIKL/H/QNC/Zz+CXh39ibxb8Vv2z/iL8JZvin4t+CEHx88B6fofgf4TaJqGp+GtI+JPi749ajpF94Sn1Tx/Lpumatp3h6WyiuLS41x9H1vWrbxANFsfEvhfx1/b6134++Bf2LfEHw9n+Jv7PXxE0T/gp98GP2df2l/hFD4wv9M1nw/rtjPqyeNvhn4j1fwzc6XZePvAWqsYGgnubSLRvEltBjUNEsr+zu9Os/SnhpLMPqFOcar/teGVe2ScIyi85q5FUzClSqctatgsNmNNYbFTpRn9XxUp4KrOGJw+IdPghXUsF9cnGVNLK62Zuk2qjj7PI8Xn1LCTq0+ajTr43BYLEVMBKo408ZQjHGYf2mFqU1P8AoGrL1z/kC6x/2C9Q/wDSSavwb/bL/wCClXxk8U/Dr9ufwj+zX+zR8WNX+FfwB0P4gfCbx3+2J4Q+Kuh+B9V+G/xc0/Qr+1ur3wZ4FeHTvF3iXSvBviCTSD4g8VeEPFaar4a0O5n8XXGjxafFpC65+iH7NPxaktf2Hf2PfEnxDvviR4z8UfFf4M/A7w3ceI7Dwd8TPi1rWoeNvG/w3sLtvE3xG1vwn4f8W3fhPw7cXsV3d+LPiz8SbvQvAmgXFxFc+L/F+lvqFrJc8+HX1nDVsXDSjTeVOm5e7OvSzbCZjjcNXjSfLVpUZUMvVWjOtTisXh8XhsVhXLDy5nviP9mr4fDz1q1p5pTqKOscPVyp5bGvRnUV6c6ylmUKdSnSm54WrSqUsSo1JQS9Ir8d/wDgvt/yiV/ax/7oT/60t8G6/Zz+x7v/AJ7aX/4PNF/+WFfjl/wX9024t/8Agkh+1nLJJYMif8KIyIdV0u5lO79pj4NKNsNveSzPywLbI22rl2wisw78p/5GuW/9h+E/9PwOHM/+RbmH/YFiv/TMz8aP+DTj/m/r/u1j/wB+Nr+xCv4+f+DS+zlu/wDhv3yntU8v/hlbd9pvrKyzv/4aPxs+2XEHmY2nd5e/Zld+3euf7Gv7Hu/+e2l/+DzRf/lhXocU/wDI9x3/AHLf+otE4eG/+RNg/wDuP/6k1jLorU/se7/57aX/AODzRf8A5YUf2Pd/89tL/wDB5ov/AMsK+fPcMutSH/kC6h/2FNH/APSTXKP7Hu/+e2l/+DzRf/lhWlFpV0NIvo/N03c2paU4I1jSCgEdtrCsGlF8Y0cmRdkburyASNGrLFKUAOZorU/se7/57aX/AODzRf8A5YUf2Pd/89tL/wDB5ov/AMsKAMuitT+x7v8A57aX/wCDzRf/AJYUf2Pd/wDPbS//AAeaL/8ALCgDLrM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/wCEVu/hZpn2L7J5Def9v/4TLz/tH2mH7L/Z3leRcfbPMten/se7/wCe2l/+DzRf/lhWPqGpXFr4g8IeCPs9hJJrmjfEbxV/aX9u6WsFqnhW9+FmkfYdvmtbTy37eMvtG77dDPapp2PslxHeeda4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v8Aw/af8u7c10ejltH29XFx+p/XfZ5Tm2I5PrH1f6v9XwUav9oc117X+z7/AFr6rr9a5vY2drElFan9j3f/AD20v/weaL/8sKP7Hu/+e2l/+DzRf/lhW55xl0Vqf2Pd/wDPbS//AAeaL/8ALCj+x7v/AJ7aX/4PNF/+WFAGXWpqH/Hpof8A2C5v/T1rFH9j3f8Az20v/wAHmi//ACwrSvtKumttHUS6aDHpsqNu1jSEBJ1fVZMxs98qyptkUGSIugcPEWEkciKAczRWp/Y93/z20v8A8Hmi/wDywo/se7/57aX/AODzRf8A5YUAZdFan9j3f/PbS/8AweaL/wDLCj+x7v8A57aX/wCDzRf/AJYUAZdamuf8hrWP+wpqH/pXNR/Y93/z20v/AMHmi/8AywrS1jSrqTV9VkWXTQsmpXzqJNY0iJwGuZWAeKW+SSNwD80ciK6HKuqsCAAczRWp/Y93/wA9tL/8Hmi//LCj+x7v/ntpf/g80X/5YUAZdFan9j3f/PbS/wDweaL/APLCj+x7v/ntpf8A4PNF/wDlhQAaH/yGtH/7Cmn/APpXDWXXTaPpV1Hq+lSNLppWPUrF2EesaRK5C3MTEJFFfPJI5A+WONGdzhUVmIBzf7Hu/wDntpf/AIPNF/8AlhQBl0Vqf2Pd/wDPbS//AAeaL/8ALCj+x7v/AJ7aX/4PNF/+WFAGXRWp/Y93/wA9tL/8Hmi//LCj+x7v/ntpf/g80X/5YUAGn/8AHprn/YLh/wDT1o9ZddNY6VdLbawpl00mTTYkXbrGkOARq+lSZkZL5liTbGwEkpRC5SIMZJI0bN/se7/57aX/AODzRf8A5YUAZdamh/8AIa0f/sKaf/6Vw0f2Pd/89tL/APB5ov8A8sK0tH0q6j1fSpGl00rHqVi7CPWNIlchbmJiEiivnkkcgfLHGjO5wqKzEAgHvVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXyf8Atzfs863+1Z+yb8bv2f8Aw1rml+HPEnxG8Jx6f4e1jXPtY0S21zStY0vxDpMesyWFpf39vpN5f6RBY6jeWOn6heWVpczXdtp99NAlpN9YUVjicPTxVCrh6yk6VaKjPlk4Ssp0qicZJNxlGdGnJOzs47NNo1oV6mGrUsRSaVSjNVIOUVKPMlOPvRbSknGpNNXV1LdNJr8QG/Ys/wCCiHhrxp8EP2rfh78QP2PLP9r3wf8ABW+/Zo+LfhDxHpfxauv2c/HXwl07XbzWvBOv6XrVhpcPxQ0/x5pr2+hTa/aw2elaNquoQK+n3mkaNp93oXifEsP+CVfxmtvCvwf8Q6z8Svhv4q+PWpf8FDvAH7dH7TfiSY+JPD3g65TQ5NRk1fwF8I7S38O6zqd9a6El9Jb+FT4pg8OLqr3N9dahdeH4GtNMtP3aorsWIqLExxl4vEQxTxdKpKKk6Mp5w8/xFCim/wB3hMZnU6uY4vDrmVatWrQjVoYWp9Uhy+xh9XeFXMqM8J9SqQUmva0oZPi8gw0qrtedbAZPja2BwNVtOhTjRqThisRRjiJfgX8R/wDgnH+3Z4cT9tb4PfsxfGL9mzSf2Zv2zvEvj34ka5F8U9K+IqfFnwH4w+IWk3a+KvC3hFvCmlXnhKLwx4puYNK8M6l4n1g63q+keF5JNT0fwyfEGlH+3/1r/Z7+GOv/AAU/ZU+Dfwe8VXekah4m+FvwK8E/D7xBfeH7i9utCvNZ8IeB9P0HUrnRrnUdP0rULjTJ7ywmksZr3TNPu5bZo3uLK2lLQp9E1l65/wAgXWP+wXqH/pJNWVB/V8L9UhrS9nltLmqe/WdHJ8JicBllF1naTpYPA4qWEoxcW/YUcMqk6tSiq1TWv/tGIjiamlSNbMcRyw9yk8Rm0sJUzHEOmrp1cXVwVCtUlzW9q6soQpqtOB851+O//Bfb/lEr+1j/AN0J/wDWlvg3X7EV+O//AAX2/wCUSv7WP/dCf/Wlvg3XflP/ACNct/7D8J/6fgcOZ/8AItzD/sCxX/pmZ+O//Bpx/wA39f8AdrH/AL8bX9iFfx3/APBpx/zf1/3ax/78bX9iFehxT/yPcd/3Lf8AqLROHhv/AJE2D/7j/wDqTWCiiivnz3ArUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcoAy6KKKACiiigArM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/wCEVu/hZpn2L7J5Def9v/4TLz/tH2mH7L/Z3leRcfbPMtdOszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/AIRW7+FmmfYvsnkN5/2//hMvP+0faYfsv9neV5Fx9s8y1wry5I037X2XNicNC/Jz8/PVcfY2+z7f+H7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/wBn3+tfVdfrXN7GztY06KKK3POCiiigArU1D/j00P8A7Bc3/p61isutTUP+PTQ/+wXN/wCnrWKAMuiiigAooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigAooooA1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4ay6ACiiigAooooA1NP/AOPTXP8AsFw/+nrR6y61NP8A+PTXP+wXD/6etHrLoAK1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKy9c/5Ausf9gvUP/SSatSsvXP8AkC6x/wBgvUP/AEkmoA+c6+Rf27/2u/8AhhH9k/4t/tU/8K9/4Wp/wrG18JW3/CCf8JZ/wg/9t/8ACwvH3hX4X7/+Eo/4Rrxf/Zv9kf8ACa/25t/4R2//ALQ/s3+zN1l9s/tC1+uq/Hf/AIL7f8olf2sf+6E/+tLfBuuzLqVOvj8DQqx5qVbF4elUjdx5oVK0IzjeLUleLaummt00zkx9WdHA4ytTly1KWFr1KcrJ8s4UpSi7STTs0nZpp9U0H/BJz/grH/w9C/4X7/xYL/hR3/Cjv+FWf81T/wCFmf8ACUf8LM/4WP8A9U4+H/8AYn9if8K//wCov/aX9r/8uH2D/Tf2Ir+O/wD4NOP+b+v+7WP/AH42v7EK7M/wtDBZtisNhqfs6FP2PJDmnPl58PSnL3pylJ3lJvVu17LSyOXJMTWxeWYbEYiftK1T23PPljG/LXqQj7sFGKtGKWiV7Xetwooorxz1QrUh/wCQLqH/AGFNH/8ASTXKy61If+QLqH/YU0f/ANJNcoAy6KKKACiiigArM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/4RW7+FmmfYvsnkN5/2/8A4TLz/tH2mH7L/Z3leRcfbPMtdOszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/b/wDhMvP+0faYfsv9neV5Fx9s8y1wry5I037X2XNicNC/Jz8/PVcfY2+z7f8Ah+0/5d25ro9HLaPt6uLj9T+u+zynNsRyfWPq/wBX+r4KNX+0Oa69r/Z9/rX1XX61zexs7WNOiiitzzgooooAK1NQ/wCPTQ/+wXN/6etYrLrU1D/j00P/ALBc3/p61igDLooooAKKKKACtTXP+Q1rH/YU1D/0rmrLrU1z/kNax/2FNQ/9K5qAMuiiigAooooA1ND/AOQ1o/8A2FNP/wDSuGsutTQ/+Q1o/wD2FNP/APSuGsugAooooAKKKKANTT/+PTXP+wXD/wCnrR6y61NP/wCPTXP+wXD/AOnrR6y6ACtTQ/8AkNaP/wBhTT//AErhrLrU0P8A5DWj/wDYU0//ANK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigBCQASSAACSScAAckkngADkk9K/J6T/gsl+ykvjS802Pwp+0Jc/BfTviCPhfqP7YNr8JLif9kqx8ZEQQNp9z8VU1v7bHbLrN1baH/af/AAix0+S4uINahuZfCE8PiV/1V1Kxi1PTr/TZnljh1CyurGWSCRopkiu4JIJHhlQh45VWQtHIpDI4DKQQDX808P7Gf/BRSw/ZL1f/AIJRwfAf4Y3nwQ1Dx/d21l+3FL8XvDf9j2vwtv8A4lxfGGW8vPgRdm6+JFx45j1I3Wgo1u8On22py29nb+dp1n/wsG6zpyqPFun7ONSKpYGWHoTmsLQxlStnOHwuZQr5lKNSGXLAZROrmFGUqclXqOcnHExwc8Bi9XGl9XjOVSVK+JrU8TXhD29bBYWGV4vEYfEUMArSzCdfM6eGwU6MXeEKiX7qVeOLw36p+KP+Cknwv0X9qfxF+x54e+Df7SvxJ+LPhbU/hxaeINR+Gfw20PxV4F0DQfiVo2lazafEHxB4mXxraHw54B8KR69olr4v13xFp2lvaXmpQro1jr1tFdXNv+bf7E//AAWms7D4A+D9a/bC0f8AaH8bajefE7xD4O8d/tPeHPgLo9j+z18OZtR8YXOn+EfDXjnxj4Xh8I6Rbaxp3h6bRdUvrXwt4U8RagdN1jTXme+1d72ztfvL9l39l74lfB/9uj9tT4nax4Wmt/hN8Qvhn+y94H+Efja/8QeGtU1LxWvwu+F9t4U8Tx3Wn2WsXfifS5rPUbK2ju5/EOlaTDqs6i7sHvYVEw/JTwH+yF/wVHb9hG9/4Jxa1+yl8NfDng/4pfEC81nU/wBoHVvjn8OLlfhb4QvPifaeNb7T/Fvw80C88Rat4o8SS6hoT6npXiLwbqOspaeHde0XS5tHh8QaTfzWd4e8K0FC2MqYnKcrmo4pvL8PXr1uNsZh69GdSXtYZJXocO4elmOJrN1sSqdd0K0KuFhRoY2JWqUG63+xKjjqCqyw/wDttbDU5cD4fF4nEUqStUzajDiLGVcvhhIuNB1sPCVOTxUZ1cL9gftX/wDBRj4m/AI/8FJNS+HHjDx78VNc+Cp/Zs0P4d+Erz4C+An+F/wHn+LnhLVdTufHD/EPwt4/k8X/ABF8LaxDaNfXesfEDQNG0/wr4yuPCmg6bpnifQtXvSP0u+FH7UXg/wAb/s3fB/4ofFJta+A2sfGd9O+G/hbwr+0Xb+HvhB498Y/FXVxq2jaH4X0HwtqOsCDVfEfxIutD1DxB8PPDXh+W71fxR4dubPUNK0hUd7W3/LH4tf8ABPj9ovxRa/8ABXPwz4V8HRNpP7Q3w3/ZQ0H9nfV9W8WeC4z8R7z4H+EYofEGmTQw66tx4Vv5r3S7fR7e78ZWXhnSrjUL+G7iuRpMdze2/wCun7N+q/GDVf2afCP/AAvf4RR/A74m6R4PufDevfD6Lx54b+JEVlH4btJdE07WI/FHhMvok0fiOwsbfXE023nuptGW/Gl3V5d3NrJcSa4eNJYbGR55VpRw/DE8LVrx9hV9jLC8U0sZam228RLEU8slmGHnOriqFTFYariJyp0MKzGvKpKvhZunGgpVc0jiYUZe2pe2eC4Or0abkvdhRpzq5xTwuJhGFCcsDiqFO+IxeMcr/wDYetf9AfVP/Bfd/wDxmvxy/wCC/ulapbf8EkP2s5rjTb+3hT/hRG+WazuIok3ftMfBpF3SSRqi7nZVXJGWYKOSBX681+O//Bfb/lEr+1j/AN0J/wDWlvg3XZlP/I1y3/sPwn/p+By5n/yLcw/7AsV/6ZmfkD/waX2N7e/8N+/Y7O6u/L/4ZW8z7Nbyz+Xv/wCGj9m/ykfZv2Nt3Y3bWxnBx/Y1/Yetf9AfVP8AwX3f/wAZr+Nv/g04/wCb+v8Au1j/AN+Nr+xCvQ4p/wCR7jv+5b/1FonDw3/yJsH/ANx//Umsan9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM1l0V8+e4an9h61/0B9U/8F93/wDGa0otH1caRfRHStSEj6lpUiRmxug7JHbawsjqnlbmSNpYldgCFMkYYguueZrUh/5Auof9hTR//STXKAD+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmsuigDU/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//Gay6KANT+w9a/6A+qf+C+7/APjNY+oX+qWviDwh4H/sG/kudc0b4jeK/tOy4We1g8K3vws0jyP7P+yNJPFfyeMvM+2faIUtX07yPJuGvN9rJWZqHiT7LrPhDwh9i8z+3NL+I3iT+0PtG37L/wAIrd/CzTPsX2TyG8/7f/wmXn/aPtMP2X+zvK8i4+2eZa4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v/D9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/wBXwUav9oc117X+z7/Wvquv1rm9jZ2sdP8A2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zWXRW55xqf2HrX/AEB9U/8ABfd//GaP7D1r/oD6p/4L7v8A+M1l0UAan9h61/0B9U/8F93/APGa0r7R9Xe20dU0rUmaLTZY5VWxumMbnV9VlCSAREo5jkjkCtglJEfG1lJ5mtTUP+PTQ/8AsFzf+nrWKAD+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmsuigDU/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//Gay6KANT+w9a/6A+qf+C+7/APjNaWsaPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBrma1Nc/wCQ1rH/AGFNQ/8ASuagA/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//Gay6KANT+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGay6KAOm0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFZv9h61/0B9U/8F93/APGaND/5DWj/APYU0/8A9K4ay6ANT+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGay6KANT+w9a/6A+qf+C+7/wDjNH9h61/0B9U/8F93/wDGay6KAOmsdH1dLbWFfStSVpdNijiVrG6UyONX0qUpGDEC7iOOSQquSEjd8bVYjN/sPWv+gPqn/gvu/wD4zRp//Hprn/YLh/8AT1o9ZdAGp/Yetf8AQH1T/wAF93/8ZrS0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFczWpof8AyGtH/wCwpp//AKVw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZeuf8gXWP8AsF6h/wCkk1alZeuf8gXWP+wXqH/pJNQB851+O/8AwX2/5RK/tY/90J/9aW+DdfsRXyL+3f8AGX9nj9n79k/4t/Fz9qz4U/8AC7fgL4VtfCUXjj4Y/wDCDeB/iT/wkk/iTx94V8KeD5P+EL+I+qaL4M1j+wfHWueGfEu/V9St30v+x/7Z0sT6xp+n203Zl05U8fgakKc606eLw840abip1ZRrQapwcmoqU2uWLk1G7V2kcmPhGpgcZTlUjSjPC14SqzUnCnGVKSdSainJxgnzS5U3ZOyufzU/8GnH/N/X/drH/vxtf2IV+O//AASc/bA/4J//ALV3/C/f+GF/2XP+Ga/+EC/4VZ/wtL/iyXwV+Dn/AAmn/CU/8LH/AOEI/wCSP+JvEf8Awkf/AAjn/COeLv8AkYvsf9kf27/xKPtH9qan5H7EV2Z/WqYjNsVWq4arhKk/Y82HruDq0+XD0ormdNyg+ZJTVm/dkr63Ry5JShQyzDUqeIpYqEfbcteipqnO9epJ8qqKM/dbcHdL3ou2lgooorxz1QrUh/5Auof9hTR//STXKy61If8AkC6h/wBhTR//AEk1ygDLooooAKKKKACszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/AG//AITLz/tH2mH7L/Z3leRcfbPMtdOszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/AG//AITLz/tH2mH7L/Z3leRcfbPMtcK8uSNN+19lzYnDQvyc/Pz1XH2Nvs+3/h+0/wCXdua6PRy2j7eri4/U/rvs8pzbEcn1j6v9X+r4KNX+0Oa69r/Z9/rX1XX61zexs7WNOiiitzzgooooAK1NQ/49ND/7Bc3/AKetYrLrU1D/AI9ND/7Bc3/p61igDLooooAKKKKACtTXP+Q1rH/YU1D/ANK5qy61Nc/5DWsf9hTUP/SuagDLooooAKKKKANTQ/8AkNaP/wBhTT//AErhrLrU0P8A5DWj/wDYU0//ANK4ay6ACiiigAooooA1NP8A+PTXP+wXD/6etHrLrU0//j01z/sFw/8Ap60esugArU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivzx/4KQftgeMP2MPhp8FfiB4Ttvh/Ja+O/2l/hj8JPG2ofEiDVZND0DwD4ssvFF94m8QW1zpfiXwuml6ppNtoMdxb6rqt5e6NY24u5b/AEy5Ta0MynCE8PCcow+s4zBYKnOclCnGtj8VRwdCVWpJqNKjGrXhKtWn7lGjGpWmnCnJFKMpRquMXL2OGxeKlGKcpulgsHi8dXVOEU5VKroYKuqVKKc6tV0qMPfqwZ+h1FfHv7On7fn7H/7WL+NYfgH8cPDvja4+HenprHjGzvNJ8V+CL7R9DYyrJ4gNj8QPD/hW8v8Aw7aPF5WoeINLgvdG0yaa0h1C+tpb2zSf4K+MP/BZn4Har8Qv2dfhz+x78Tvhf8X/ABB48/av+F3wQ+Lum+IfC3xItLjRfAPjnVdT0fUvFHw+ur5/Alh4huLW/wBPjt7XxTo0vjbwnZNfaXJf2s0OuaM97rCnOeJwmDjCTxGNlhFh6fK7ypY2vPDUMVJWbhg3WhKE8U4ulBxaldxqRpROUaeHxmJnKKo4CGNliZ3VoVMvw08XicMtbSxkaNOThhVL2tRuCi0qlOpU/besvXP+QLrH/YL1D/0kmr4j+LP/AAU5/YQ+BvxM8TfB74p/tG+EvCnxF8G6Jd694m8PyaR4y1ePSbey02XV5tKn1vQPDWq+H5PFsljFus/A1vqs3jTULieysLDQLm/1Cwtrn326+P8A8FNR+F3w4+IzfE7wdovg74/ReFNG+C2reL9Yt/A7/EvxF8TtEm1X4e+EfCWl+Mm0LWNV8beMLBZJ9B8Ew6f/AMJZfmC5gh0Y3FrcRRRD97R+sU/3lByjFVoe/ScpOvGMVUjeDlJ4XEqKUm5ewqtXjBybn+7qexqfu6z5rUp+7U9yFGpP3JWl7lPE4ecvd92Nek5W51FclX47/wDBfb/lEr+1j/3Qn/1pb4N1+zn9h61/0B9U/wDBfd//ABmvxy/4L+6Vqlt/wSQ/azmuNNv7eFP+FEb5ZrO4iiTd+0x8GkXdJJGqLudlVckZZgo5IFehlP8AyNct/wCw/Cf+n4HDmf8AyLcw/wCwLFf+mZn40f8ABpx/zf1/3ax/78bX9iFfx8/8Gl9je3v/AA379js7q78v/hlbzPs1vLP5e/8A4aP2b/KR9m/Y23djdtbGcHH9jX9h61/0B9U/8F93/wDGa9Din/ke47/uW/8AUWicPDf/ACJsH/3H/wDUmsZdFan9h61/0B9U/wDBfd//ABmj+w9a/wCgPqn/AIL7v/4zXz57hl1qQ/8AIF1D/sKaP/6Sa5R/Yetf9AfVP/Bfd/8AxmtKLR9XGkX0R0rUhI+paVIkZsboOyR22sLI6p5W5kjaWJXYAhTJGGILrkA5mitT+w9a/wCgPqn/AIL7v/4zR/Yetf8AQH1T/wAF93/8ZoAy6K1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZoAy6zNQ8SfZdZ8IeEPsXmf25pfxG8Sf2h9o2/Zf+EVu/hZpn2L7J5Def8Ab/8AhMvP+0faYfsv9neV5Fx9s8y16f8AsPWv+gPqn/gvu/8A4zWPqF/qlr4g8IeB/wCwb+S51zRviN4r+07LhZ7WDwre/CzSPI/s/wCyNJPFfyeMvM+2faIUtX07yPJuGvN9rhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8P2n/Lu3NdHo5bR9vVxcfqf132eU5tiOT6x9X+r/AFfBRq/2hzXXtf7Pv9a+q6/Wub2NnaxJRWp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNbnnGXRWp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNAGXWpqH/Hpof/YLm/8AT1rFH9h61/0B9U/8F93/APGa0r7R9Xe20dU0rUmaLTZY5VWxumMbnV9VlCSAREo5jkjkCtglJEfG1lJAOZorU/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//GaAMuitT+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGaAMutTXP+Q1rH/YU1D/0rmo/sPWv+gPqn/gvu/wD4zWlrGj6vLq+qyxaVqUkcmpX0kckdjdOkiPcysjo6xFWRlIZWUkMCCCQaAOZorU/sPWv+gPqn/gvu/wD4zR/Yetf9AfVP/Bfd/wDxmgDLorU/sPWv+gPqn/gvu/8A4zR/Yetf9AfVP/Bfd/8AxmgA0P8A5DWj/wDYU0//ANK4ay66bR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAVm/2HrX/QH1T/wX3f8A8ZoAy6K1P7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZoAy6K1P7D1r/oD6p/4L7v/wCM0f2HrX/QH1T/AMF93/8AGaADT/8Aj01z/sFw/wDp60esuumsdH1dLbWFfStSVpdNijiVrG6UyONX0qUpGDEC7iOOSQquSEjd8bVYjN/sPWv+gPqn/gvu/wD4zQBl1qaH/wAhrR/+wpp//pXDR/Yetf8AQH1T/wAF93/8ZrS0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFAHvVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX47/wDBab4efEz4i/AT9ny1+FvwU8T/ALQGteGf2xPg74x1X4a+GtC1HW4tZ8O6Jovjz+0IPE01jYahbeH/AAnfT3Nno2t+Jdbii0HSItVjl1SdIH2v+xFFQ4y9rg60J8lTBZjluZUpcsZp1ssx+HzCjGUZ+64Tq4anGfXkvy+9Zq4TUVWi4qca+Ex+DnGTnFezx+X4/LqjvTlCacKWPqTjyzg3KEVzwvzw/nC134YfHP8A4KBftN/tHfG/wP8As0/Gz9lXwrN/wT3+Jv7L+l3/AO0R4MtfhT4z+Jvxa8bS6jLolkdEfVNS+1eE7Gx1AWB8XQf2xY2tppkVvdT2txPptjY/O0a/HP4keAP+CU3wBi/4J4/tMfDTxF+xv+098B7P4vfErW/gvdad4C0600HXV03xB4g8D63on2y98ReEfGUui3fj/wCJXjqXStN8I6RrFlpM+o61q8mv6JrF3/WNRW2FlHB1MG6UL0MJictx/wBXlOT9rmGW5tnub08S8R/Hp06tfiPMqdTB074aNJYV03GrSr1MfliIvEUsVCcmqmIwuZYCFZRhejgcyyDA8OToukowo16tLA5dhJxxdVRrTxCrSlThQnRwuC/lH+L9h8Uv2Wvhb/wV5+BXxJ/ZG+KvxBT9orxl8X/jv4N/aWsPDOj3XwQk8AeILK81rRbj4ifEq/1DS7TQ/FHw6mt59Z8H+D9NtdY8TX/jzUn0m0sNLa80/WdQ/e39iCKWD9gH9lWGeKSGaP8AZS+D6SRSo0ckbj4W6FlXRwGRh3VgCO4rzb4mf8Emv+Cenxh+KWvfGf4hfs1+Hta+IfijXIfEviPVLTxh8TPDmka5r0ZgefVNU8G+F/GujeCr271WeAXniF5/DzjxNqFxf6j4hXU77UtQuLr70u9O0/SPCtzpOk2NnpelaX4fm07TdN062gstP07T7LTmtrOxsbO2SK2tLO0too7e2treOOCCCNIokSNFUTgn9XyxYWr72JdLh7CuUP4ccJw5lGYZRg4uS5IzqvDYrD05ThQpOq8NVxVdKtipUadYz/aMfGvT93DxxGeY5qX8SWMz+tlFfGJR99wowrZdVqQTqzUVWp0KMVRoRmfP9fjv/wAF9v8AlEr+1j/3Qn/1pb4N1+xFfjv/AMF9v+USv7WP/dCf/Wlvg3XflP8AyNct/wCw/Cf+n4HDmf8AyLcw/wCwLFf+mZn47/8ABpx/zf1/3ax/78bX9iFfx3/8GnH/ADf1/wB2sf8Avxtf2IV6HFP/ACPcd/3Lf+otE4eG/wDkTYP/ALj/APqTWCiiivnz3ArUh/5Auof9hTR//STXKy61If8AkC6h/wBhTR//AEk1ygDLooooAKKKKACszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/AG//AITLz/tH2mH7L/Z3leRcfbPMtdOszUPEn2XWfCHhD7F5n9uaX8RvEn9ofaNv2X/hFbv4WaZ9i+yeQ3n/AG//AITLz/tH2mH7L/Z3leRcfbPMtcK8uSNN+19lzYnDQvyc/Pz1XH2Nvs+3/h+0/wCXdua6PRy2j7eri4/U/rvs8pzbEcn1j6v9X+r4KNX+0Oa69r/Z9/rX1XX61zexs7WNOiiitzzgooooAK1NQ/49ND/7Bc3/AKetYrLrU1D/AI9ND/7Bc3/p61igDLooooAKKKKACtTXP+Q1rH/YU1D/ANK5qy61Nc/5DWsf9hTUP/SuagDLooooAKKKKANTQ/8AkNaP/wBhTT//AErhrLrU0P8A5DWj/wDYU0//ANK4ay6ACiiigAooooA1NP8A+PTXP+wXD/6etHrLrU0//j01z/sFw/8Ap60esugArU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKy9c/wCQLrH/AGC9Q/8ASSatSigD5fryz42fs9/CD9qj4WeMPgP8efCP/Cd/CnxvYW03ijwr/b/ifwv/AGnL4Q1Ky8c+HW/tzwbrXh3xJZf2f4p8NaJqm3T9YtFu/sX2K+Fzp1zd2k/1F4I+OHwW+JviHxT4S+G/xf8Ahd8QfFfga4ks/G3hnwR4/wDCfizxD4Ou4r650yW18U6LoOrX+peHriLUrK80+SDVra0lS+tLm0ZRPBLGmX8epPgdb/D1dR/aI8SeDfCXw08OeOfhZ46fxB4+8b2/w98M6V43+GvxM8JfEj4XaheeJrrW/D9rFNpvxK8JeFNTs9LvNS/s7X7qyi0PVbDVdL1C90u8carpeyxEans01SrUK8ZqCanKPsatGrzRjKM5uKo1KdScZycVSnOTimpU1U9rQlD2jTqUq1Fx52nGL9rSq0rOUXGKk6tOpCMoRUnUhCKbXwB+yb+wJ+yV+w3/AMJ9/wAMt/Cf/hV//C0P+EV/4Tr/AIrv4l+Nf7c/4Qr/AISP/hGP+SieMvFv9mf2Z/wlviH/AJA/9n/bf7Q/4mH2v7JY/ZvsSvZk+KPwzk+Hp+LcfxF8CyfCkaBJ4rPxNTxd4fb4ejwvFC1xL4kPjRdQPhsaBHbo88msf2l/ZyQq0rXIRSwl+H/xJ+HXxY8NW3jP4WePvBXxL8H3lxd2dp4r+H/irQvGXhq6u7CZra/tbbXfDt/qWlz3FlcK0F3BFdNLbTK0Uyo4KjSrUr161aVedWrXgqbxEqrnOtBStCk6/PepTUrKFN1VTU7ctNzasZ0oUaNKlGjClSozc1QVJQhSm43nUVHltCbjdyqKk6jjdymop3PFKK+oKKyNT5frUh/5Auof9hTR/wD0k1yvoyigD5for6gooA+X6K+oK43x98Rvh78KvDN541+KHjvwb8N/BunTWdvqHi3x94n0Twf4ZsZ9QuorKwgvNe8Q32naVazX17PDaWcc92j3N1NFbwq8siIVKUYq8pRirpXlJRV5SjGKvJxV5SlGMVe8pSjGKcpRjJpOTtFOTs3aKcnaKcpO0U3aMYyk3ayjGUm1GMpR8RrM1DxJ9l1nwh4Q+xeZ/bml/EbxJ/aH2jb9l/4RW7+FmmfYvsnkN5/2/wD4TLz/ALR9ph+y/wBneV5Fx9s8y1+lfC3irwv448O6P4v8FeJNA8YeE/ENjDqegeJ/C2sad4g8O65ptwN1vqOj61pNxd6bqdjOoLQ3dlcz28o5SRhXjNz4v/Zm8G/tD39rqPxI+F3h79pf4r+BPh54Jk8Gav8AE/R7H4i+MPAvw81r4qeJvh/ZaN8NdS8RpeXFvpmsfEn4pX0GraF4bS/1ddRvYNTv9RtPD+lwaSqkKrnToxlKlWdaH7t071aqp3q1qEaUkqjnOiteSnKpTgnV5VG8ltha2GpqvWr0FiqDweKhCSrulTw+Ir0o0cJjpVqblCUcLib1FSnONLETkqE57ReHRXbfEz9pP9nX4LatYaD8Y/j58FfhNrmq6f8A2tpejfEz4p+BvAeralpRuJrManYad4p13Sry8083dtcWv223hktvtEE0HmebE6r6n4f8QaB4s0LRvFHhXXNI8TeGfEWmWOt+H/EXh/UrLWdC13RtUto73TdX0bV9OnudP1PTNRs5obuxv7K4ntLu2ljnt5ZInVzUfei5x96EZunKcfehGoua9OU480I1FyyvTc1NcsrwXLLlwl7soxl7spR54xl7spQsnzxjLllKFpRfPGMo2lF81pJv52or6gooA+X61NQ/49ND/wCwXN/6etYr6MooA+X6K+oKKAPl+ivqCvLtX+OHwW8P/EXRvhBr3xf+F2ifFrxHbwXnh74Xav4/8J6b8RdetLpb1ra60bwTeatD4l1S3uF03UWgnsdMnilWwvTGzC1n8sWsoQWs6jcacFrOpJRc3GnBXnOShGU3GEJyUIym0oxlJD0jKb0hBKU5vSEIuSipTm7RhFylGKc5QTlKMU3JqL8wrU1z/kNax/2FNQ/9K5q+jK8d+Cn/AApLwt4R0/4G/A/xD4QuvDn7Ouh+FPg83gnw340h8Zar8MNO8H+HrHRPC/g3xZJca1rniXT9XsPD2mWcKp4vu38QX0MBvb6e7uJJrlxavlWsuWU+Vay5IOCnPlV3yQdWkpztyQdWmpzg6lNVB6K70XNGF3oueam4Qu7LnmqdRwhfmkqdRxjJU5uHA0V6f4I+OHwW+JviHxT4S+G/xf8Ahd8QfFfga4ks/G3hnwR4/wDCfizxD4Ou4r650yW18U6LoOrX+peHriLUrK80+SDVra0lS+tLm0ZRPBLGnqNC1jCa1hUhGpTmtYVKc1eFSnNXjUpzSbhUpynTkleM5LUHpKcXpKnOVOpF6Sp1I6Sp1Iu0oVItpShOMJxbSlCNz5for6gooA+c9D/5DWj/APYU0/8A9K4ay6+oKKAPl+ivqCigD5for6auLiC0gnurqeG2tbaGS4ubm4kSGC3ghRpJp55pGWOKGKNWkkkkZUjRWZmCgmvOvhl8aPg78a9N1HWfg38WPhp8WtH0e+TTNX1b4ZeO/C3jzTdL1J7dLtNO1G+8K6rqtrY3z2ssdylpcyxXDW8iTCMxurEXvOUY+9KEPaTjH3pQpuSgqk4q8o0+dqHtJRjT52oc/O1Bj91RlL3Yyn7OMnpGVTlc/ZxbspVOROfJFynyJz5OVOS8+0//AI9Nc/7BcP8A6etHrLr0r4rad8IrK38H/FX4w6l4c8N6T8BfFV98TvDfjfxd4rPg/wAN+BPEep+AfHHwjvfEWr6pdavpGgyW0/gj4peMvDf2fxO95o0cviCPUIbWPXLDRtQsbvjX4zfB/wCGvhDTviF8Rvit8NvAHgHWJNNh0nxx418deF/CvhDVJdZtJL/SItO8S67qlhot7JqtjDLe6alteytfWkUlxaiWFGcJyilJuUUoSpwm3KKUZ1ub2MJNySjOtyy9jGTjKryy9lGryy5WoybjFRblKNSUYpNuUaVvayikm5RpXXtZRUo07r2kqd1fyitTQ/8AkNaP/wBhTT//AErhr0j4a/F74TfGfRLvxL8Hvih8O/ix4c0/U5dEv/EHw18a+GvHeiWWswWtpfT6Rd6r4X1PVbC21OGyv7G8lsJp0u47W9tLh4hFcwu/olVKMou0oyi7RdpRlF2lFSi7SUXaUZRlF2tKMoyi5RlGTlSUruLUkm4txaaUou0otpu0ovSUXaUXpJRegUUUUhhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfKH7dvibxH4M/Yt/aq8VeELy707xNoPwB+KupaJqNhdJZX2nX9v4N1dodRsrt1b7PdWHN3byoBKksKGFkm2Ov1fWTr+g6N4p0LWvDHiPTbTWfD/iLSdR0LXdIv4lnsdV0fVrSaw1PTr2Bvlmtb2yuJra4ibiSKV1PBrjzHDzxeAxuFpuKqYnC16EHNtU3KpT5VGo4qUlTqJSo1WoyapV6r5Z2cJ9eArwwuOweJqKThh8Vh681BJz5aVanUcqak1F1IcqqUlJqLq0aSk1Fya/mR+Afwx+HnwM+L/wDwQb8XfBHwX4d8MeLfjh8C/ibZfGjUPCtpp2k6n8RdP1D4KeEfFmrap46utMhguvE9xoniDVtW1a2udakvJrSTTLSxjkSLTLeKH7d/4KEeHtB+Kn/BQn/glv8ABH4naHpXi/4NeJdd/aN8X+IvA3ii303V/B3inxV4O+GcN14VXxB4b1S3ubHWhp1xNIltb6jDc2k8WqXtksDfa7hZPoP9nP8A4Jb/ALPf7NHxJtPid4W8ZfHnx1qnhTw74k8IfBvQfiz8UJfG3hT9nrwt4subybW9C+CmlPounT+GbW5tbz+zPtGr33iLURYxFmvnv77Vr7Udfxx/wTe+GHxJ+C3w2+E3jf42/tT+IvFvwf8AGmqePPhn+0xqHxkaX9qDwdrutajPd6iulfFL/hHBAdOm0+ceHo7G78O3MVrotppv2Uw6tpWm6raericRCtiMDifY89PDZ/mmevB1HStSoZxmOZTpZTRbU8PfIaOMoZlRqyp/UsRiqCw2EjSnGFVebQoypYfGYf2ihUxGQ0MjWLp+05p18Hhq83mtRJxrWx0508pdJyeOpYSnDE4mrKC9jD+e/UrZLf4e65+y7DYi3/Zll/4L5WfwfPhqPUII/Cb/AAvn1X+1rv4cpp5H2VPCllqNvZ6yum24j0+G+nW7lhaRY2X9e/2C/DOgfCX/AIKPf8FOvgr8K/DGj+DvgxosX7MnjHS/B/hOzstF8GeEvGHif4bSz65BoPhvSYbXR9EbXma4nu7ewtLdFGjW0OxUgRV+m0/4Jl/sxL+ynd/skPaeO5/CN94ok+I918S5/FzyfG2b4xPeLqI+NLePf7PWL/hZUd8kcy6j/Yn9iPbp/ZM2gS6HJNpkvqn7KP7G/wAMP2RdJ8cReDPEXxN+I3jT4n+IovFHxM+L3xr8Yt4/+LHj/U7K3kstFHifxSNO0eG7tdA0+WSx0i3t9LtBHFLPPdNd39zdXk2WCawqVOpUlVeHyupgp4pKfPnFbEcK8BZDCeJjOTrUo5Zi+FswxOHliKlV1KFfAypqGKq5mqumM/2lyqU6UaSxGMjXjhm4cmWRo8V59n8qlGUIqlUrY/BZnSwdeOFhQhCtiMfGbng6eGjP6zooorMsKKKKACiiigAr8WP+ChHh7Qfip/wUJ/4Jb/BH4naHpXi/4NeJdd/aN8X+IvA3ii303V/B3inxV4O+GcN14VXxB4b1S3ubHWhp1xNIltb6jDc2k8WqXtksDfa7hZP2nr5S/au/Y8+GH7Xnh/wbp3jfXviR8P8Axb8NvFEfjD4Z/Fv4M+L28B/Ff4d660aW2o3HhPxT/Z+rQWcWtaeg0/Vbe70u+ikiW3vLVbTVrDTdRso1jisuxDpRrwweY0cVVoScI+0prDZphuaPtYzpOrhamYUMfQjVi4TrYGMbwqOjONq0sPmFD2jozxmW4vCUq8VNujVrPBzhJqnKNRQqLC1MNUlCSlGninJXSmj4g/4I/wBuvhnT/wBvH4WeHrJbD4W/Cn9vv46+Ffhdp9rMH0fQfDwm0m5m8L6DbRkW1hpOkzNFeQ2lokcCTaxO6oGdifx4+Lfgnwd4x/Y8/wCCtH7U/i3QNHu/2mfh1/wUSu9N8A/FK9TS7n4i+B9P8EfEz4S6J4Q0Twr4qW3XV9E0u00nV9TsYrDSbm1s7q3srJXhk/se2MH9E/gX/gn98MPhZ8Jvhr8IvhZ8Uv2hvhtpvgL4vWnxt8S+L/BvxRbSvH/xy8aebNP4gj+OviM6HOnjnw941lkhPi7Qbew0Oyv47DTrayGm2tnFCPOPiR/wSg/Zj+KHxw1v4z67rnxp03R/GnjPw58R/id8AfDnxIk0n9nX4s/ELws0kml+NPiH8Oho9xc6vrnn/ZLm8Nj4h0qwvLmyE81g0mqeIDrFQg1iMubxNSMsLlGQ5LLMoRlLF0KuS4rw/wAfXzvDwquU5VMeuGszyyGHlOOLjGhllbG1KuFxmYUm1VjGOLl9WhKFfO8Xnn9nN01h8RQxUeLMKsjxElB0FT5c4weY1q0aEsFz4rMaFCh7fDYadT8tP2qfBn7RnxP/AGuf2if2mPD/AMHP2EP2gPCH7NH7KPwu0fxb8KP2nta8J/FfXNHsx4duvi94xt/C/wAMvCmu6rrfw7+II1QeKtM0fWPjNp3g6z1bTZLmTw2+s6dPcTR/vp+yN8UPCHxo/Zj+BXxR8A+BLb4X+DPGfw08L6p4c+HNjaWNlpvgbTF06Kzh8K6Rb6Zp+kab/Ymhm2bTtFm0/SdLsbrSrezurTTrGCaO1i+Zf2lP+CXHwA/aZ+KOufFrWPHPx9+E/iHx34U07wL8YNM+BvxNTwB4Z+Ofg/SRbW9h4c+LWkS+H9bPiPTIdKtY9DaGxudHNxpIihuXmuLLTrmz++fAvgfwn8M/BfhT4d+BNEtPDXgvwR4f0nwr4V0CxMzWmkaDodjDp2l2EMlzLPdTi3tLeKNrm7uLi8uZA1xd3E9xLLK+1CpGOCrUZU40ebEqrhsLTbnHDyqY/iTG4+p9ZTpqvhMQs3y+ll+GxGHnjcC8Liva4uVOdKlV5JUpqvhJKo63scFSw9fETbXt1QynhzL8NCOHquvUo4ilXyvNK+LxNHEQw2LpY3DQWGdaNerDq6KKKyNwooooAKKKKACv47Pi34J8HeMf2PP+CtH7U/i3QNHu/wBpn4df8FErvTfAPxSvU0u5+IvgfT/BHxM+EuieENE8K+Klt11fRNLtNJ1fU7GKw0m5tbO6t7KyV4ZP7HtjB/YnX5mfEj/glB+zH8UPjhrfxn13XPjTpuj+NPGfhz4j/E74A+HPiRJpP7OvxZ+IXhZpJNL8afEP4dDR7i51fXPP+yXN4bHxDpVheXNkJ5rBpNU8QHWMqcJLH0q3tJUIyoYegsbStLE5bOhxLwtnk8Zhqcl+8q1sJkWKy/lhKnLnqYNVXPAzx1J7qrCOG5XSjXdLHUMZLB1LKhmVGnlfEWXzy/ETkp04UZ1c4w9eUqtKrTdOnibQdeOFPsPx74X+IvxZ+A9x4Y8LfEbWPgV8QvGvhLw9FL4/0DRdN8ReIPBc9+NKuvE6aLY6xLFZJrE+m/2tomnavI5uNBvbyHXrNJb3TreN/wCer9lTQ9S/Zz/Z5/4LseH/AId+J/Gerax8K/GPxUsPD/jbxR4hTU/iDqWo6P8ADrxcjeMPEHidrS0W/wDF15c+fr2p6vDZWZudXkmuLW3tHeJI/wCh7wZ8Gh4M+LHxV+Ky/FT4y+KF+KcHhSBfhn4w8cDWvhJ8Nh4V006aH+FHgwaXajwdL4iB+3eKWGo6iNX1FVucW+PLrzf4SfsbfCP4Qa1+0/q+mT+KPFtv+1v451fx38V/D/ji70LVfDwute0/UNL1XQfD9lpfh3RLi28NXljqd3bzWWtXmvXrxuFbUiNwaMbSeKlnM6MKeGWc8N51gZYfmnOnh8ZjcfleIwOXup78ngaOHweLp1a1BRoy+s+1q0cRiIuRGAl9Up5NSrzniXk2eZBjI4hLlnXoYHBYqjmOOjCcrrF1KtbDujSxU6tVvDWjVpUKtX2n4VfAP4Y/Dz4GfF//AIIN+Lvgj4L8O+GPFvxw+BfxNsvjRqHhW007SdT+Iun6h8FPCPizVtU8dXWmQwXXie40TxBq2ratbXOtSXk1pJplpYxyJFplvFD/AFCV+cX7NX/BL39nv9mD4o6b8VvC3i345/EHVPBuh+IPC3wb8NfGL4my+O/BnwA8LeJ726udb8O/BvRX0bTJ/DunXtrdf2TLJq+oeIdRbTo23X7X9/q19qP6O16mKxEK8eaKlB1cxz7MVRko2wNHOM1p4/DZXTlB+znTy+lCVPnoxhQdSrJYeKpJo4cPQnRklLlkqWAyvAOtFu+Mq5fSzKFXHzjJKcHiFjsPQpxrOeJ9hgaTxE3J04UyiiiuM6gooooAKKKKAPyj/wCC2viTxD4Z/wCCbH7QM/hy8u7CbWD8PfC+r3NldpZzf8I14m+I/hXR/ENpJIQXktNU0u7uNJv7aIo9zY31xA7GB5kbwT4J/DP4ffs6/wDBX3w38M/2fvBfh3wL8OPHX/BObSPEfjzw54Js9O0Tw/d654c+KMmk6B421bS9GhtbK/8AEV1Z29pYT65dQyahqLa1eX9xcTT3080n7H/GD4SeAPjx8MvGnwf+KWgw+JvAHxA0O58P+JdGlnuLVrmyuCkkc1re2csN5p+o2F3Db6hpmo2c0N3p+o2tre2ssc8Ebj4s+Bv/AATL+EPwF0j4rnw/8Yf2nvFvxI+K3w2j+ET/AB6+IPxci8QfG34dfDu00/7Ho3hr4UeLrTwxpFh4LsvD1ysOsaE0Og3s1jqlpp7eZLYadYWFvODlLC4nF13DmvUxOKp8k4xnjY1uEcZw3TymtKS/c0KOOxUc2jWqSnh0lVtSjjfZznWKUcTh8LQUuW1KWEqc8ZShhZT4myLPP7Wgotyq16eDyvE5fGlR9niJSxMUqqwrrxl8p/8ABc34D+I/iB+yb8WPixqnxs8f6T8O/hP4C0G+0r4DeGI9M0Xwb4u+Id58RNGsP+Ez+JGsrFca14v07StI1OzHhzwc/wBg07RPEWj2niSK9nlnvbC44T9uT4dfFn4+fDf/AIJZfAn4RW/7OXiHV7uTwx8XdU8CftJeNvCun+BfFn/CrvhBpEuk6frvwybWYvil8UfC1zb654ih8RaX8NfC3icWNoBJ4o/snSpxej9V/if+yR4M+MX7J9/+yH8QviB8XfEng7V/BvhzwZrnxG1bxXpWsfGTXoPDWo6RqkGva34v1vw1qml6p4n1O80a3k1nVLvw1Kl6Zrp0tYJZEki439oD9gf4OftE/Dv4M+B/EPiX4r+BPEH7Pn9jn4P/ABl+E/jODwR8ZfA8mmaPpuhXc2j+LIdEvtPgfxDpukafHroGgeXLNa295psemXdrazQTGkqCxVKLlXw/+s2QZvR9m1RqVqWAy3PaGKxEniYV7VY4/HZbVhhcU5qrg8G8LRnhoUcNBtzdZ4arJRpV1kGf5XNz5qsKM8dispngaS+rzoN03hsNmaqYjDeznTxGNdat9Zdavbxb/glt8VLLxh4E+O/ws1H9nP4J/s3/ABP/AGfPjr4k+Gfxd8P/ALOXhfTvCvwY8ZeMLG0tI4/HHhPT7KytbqGTUNKsrPTbq21u61bW47TS9Lu7u/giv7fRdI/Uavmr9lj9lH4U/sg/Dq9+Hfwt/wCEo1T+3/E+r+OfHPjnx9r8niv4h/Efx1rxhGseMfG/iOS3so9S1zUEtraOZrHTtM09fJM0VhHdXN5Pc/StdVefO6Lc41KscHgKWJrQp1KNKvjKOCw1LGV6FCrVrTw+Hq4mFSWHw8qkvZUopRVKFSFDD81GDh7b3ZQpzxeMq0Kc5wq1aWFq4qrPC0q9enTpQr4inQcFWrqF6k5RUp1Z0ZVqxRRRWJsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//Z
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo5pobeGW4uJY4III3mnnmdYoYYYlLySyyOVSOONFZ3d2CooLMQATUlFKXNyy5HFT5ZcjmpOCnyy5XJRcZOKlyuSjKMnFSUZRk4yTVrrmvy3V7NJ2ur2bTSdr2bTSdm00mn8OeHv+Cnf/BNfxd4k0Twb4U/4KF/sOeJ/F/iXWtO8NeHPCvh79rL4Ca14k8QeI9XvodM0nQNE0PTfH9zqmq61qmpXEGn6dpVhaz317fTw2ltBLPKkbfcdfmn4FvZ9N/4Kf8A7cuo2tlNqV1p/wCwv+wpe22nW5UT389r8UP2+J4bKAuVQTXUkawRlmCh5F3EDJr82/BH7aX7WuhfBP4dfGLUf2pZPjDrf7W3/BKf9rb9uJfB1z8OfglpmgfstfFX4QeEvhD4q8Hw/BRfCHw48NeJNS+E2iax8YtS+HXiDQ/2i9c+OXjLUtf8JeDZ/wDhKLd08e22r5YjE0MLl8sbV9qo0Mlq51inFRqRVONLjHEU8JQpQvXlWqYbgbPK/wBZreywMJfVMLWr0K+IoOp2QwFatj/qdGVNqrmGXZdh/aOUZueOw/COInXrVFH6vClhP9dMopSpRaxWKcMVVwVGv7KeHh/Rb4o8Y+EfA+nWur+NfFXhzwfpN/r3hvwtY6p4o1zTPD+nXnifxlr2n+FfCHhy1vdWurS2uNe8VeJ9X0nw54b0iGV9Q1zXtT0/R9Mt7rUL22t5ejr+a7W/2uf2wfgz4i+BHhtP2yP+GlbL9ojwH/wTv+OHiLxRN8Kv2f8ARo/hKPjz+3Z8Cfgn418KeAE+HPgrS9Oj+BPx/wDhp8TfHek/CqH4hS/FT4t+G5PhV4n1jTPjnruoxyanY/bn7JnxW+Mvxe8WaR+0F8S/21rfwNo3jT9qr9qj9nqx/Yg8UeC/2e7PwKIPgv41+L/w98J/D34e+JbbQdA/aKb9ouw0n4VWPxg8c6jrfxc+JXhjVdFPxFs9I+Cvhrw9c+G9d8B+lPA1qVeth6jpqphsZmWCxMoycoUcRleZ1sixFCMIxdfFSeeYTGYKlXwdKrQqUoUsZy08NNX8qniadXC4TFwU+TG4SljMNCUJc1ahXwuHzSjVc1H2GGi8nxVDGyhi6tOSm6mE9ssXRr0sP+utcxF438FzeJdf8Fw+L/C8vjHwpoGh+K/FHhOLX9Kk8S+G/C3ie58QWfhvxLr+hLdnVNH0DxDeeE/FNpoesaja22natc+GvEEFhc3Eujailt09fz069+yH8INL/aA/4LRfBiy+I2o/CjQ/2hv+CbP7PN98X/2gPjB8Q/FHxCvdG1jx3c/t9+Dte+KfxB8YfE/xm9yPCfgvwnpWkWw8ODxP4X8EeEfh/wCF7Lwl4Xt/B/hXSrC20/zpymniIxim6eU5vjqLtKo54rLqeWVaVCVKE6M3RnSxuJrVJU60cRVnhaGAwkY4nMKWJoephMPSrun7WrOlF5jkeEqyjTlU9lhs0zrA5ViMTGEI1KlarQjjOehhqVKUqtWKdRypL2Nb9vfg58e/gX+0V4Wu/HH7Pvxo+E3x18FWGtXnhq+8YfBz4jeD/id4Ws/EenQWl1qGgXfiDwTrOt6Tb61Y22oWFzeaVNdpfWsF7aTTwJHcws/rNfi3+wy3xrf/AIKB/tJ2nxK8N/s/+CE8M/sP/sSeFvEfgr9mTxr4t+Ifws0XXrDxv+00fAV0/jLxL8Pvg+2peJta+HPlaovh9vhhpb+Bfh/cfDvQrDxL4v0uaDWJf2krtxFKnTVCdKcpU69KrUip8qqRVLMc5y68lGMElX/sj63Ti4QqUqWLWHrRWIweI5vMoVKlRSVWEIVILDOcadRVacHistyvMvYxrRnOnXlhf7T+p1MRSkqGKnhljMNTpYXHYWmiiiiuc3CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDnLXwd4RsfFeteO7Hwr4cs/HHiTRNA8NeIvGVroemW/ivX/DnhS717UPC3h/WvEUNqmr6ponhq/8AFXii90DSr68nsNGu/EmvXOnQW02sag9x8v8AjX9h39ni9+G37VfhP4QfCL4L/ALx3+138PPiJ4L+K/xa+G3wa8D6D4t8W614+0HxTpZ8Z/EO68MWfhTWPiVqmlap4u1jxCU8SeIvtd/f32pN/atncandXh7f+3Na/wCgxqn/AIMLv/49XlfxE/aa+HHwtudM8N+OfiFqWheIrqC51xLUad4w1J5dFvJIrCwuGvNG0rULXY19pWrxpbPci4hMUkrwRx3MMk3Rhcgx3E0q+S5flePzitjctx2CrYHLMPisRjKuVV6Uo5hQjDAr61HCSp4hzxEabjRjKpGtOm6nJUXNjM/wPDcKOcZnmuByjD4TMMuxVPHZpisNhsHTzLC1qVTK6k6mNmsNPE06uEpxwiqqdRRpOjScKfPTfc/Bz9iz9l74J/D+DwF4O/Z8+AmjW+oaz4C8cePLvwz8Ffh54Uh+I3xb+Hl1pWteHvjB4u07S9FKaz8RtM8W6PZ+MNF8W6zc6t4m0PxFBbatY62NTtYr6u60v9mj9nHRPjPrf7R+i/s//BLSP2h/E2mHRfEfx50v4U+BLD4z+INHNlpmmHSdb+KNpoMXjjVdMOnaLo+nmwv9duLU2Wk6ZaeV5FhaxxfI3/DcPwL/AOiu6p/4IPiN/wDM7R/w3D8C/wDoruqf+CD4jf8AzO19jX4C8RsTiamMq8FcXvE1KuIqupDhvNaThLFqccQqEaWDpxw1KpSqPDuhhlQoLCRpYONFYOjRwtL5Cj4geHOHw1PB0uN+EFhqdKjSjSlxLlVRShQlRqUnVdXGVJV6irUKWJlWrutWqYyLxtSrPGyni5fpNXKf8IJ4H/4SHxH4u/4Q3wp/wlfjDw7o3g/xb4n/AOEd0j/hIfFPhLw5P4huvD3hfxHrX2P+0tb8O6Dc+LfFVxo2ianc3WmaXP4m8QzWNrBJrWpNc/An/DcPwL/6K7qn/gg+I3/zO1d1H9uT4ByahfyWnxc1IWsl7dPbCPw78RokFu08jQhIj4bQxoIyu2MopQYUquMDnl4ccfSUoy4F4slGdOpSnGXDeayjOlWg6dalOMsHKM6Vam3TrU5xlTq026dWnVptwe8fEngCLTjx5wlFqVOaceJcqi1OlUhWpTTjjYtTpVqdOtSmmpUqsIVacqdWEKkPr74M/AH4Efs4+FLjwH+zz8FPhJ8B/A13rF34iuvBnwZ+HHg74X+FLnxBf29nZ32u3Hh3wRo2h6RNrF5aadp9rd6nJZte3FvY2cE07xW0Cp63X5s/8Nw/Av8A6K7qn/gg+I3/AMztH/DcPwL/AOiu6p/4IPiN/wDM7Vy8PfEOb5p8E8YzlaMeafD+czlywhGnCPNPDTlywhCEILmtCEIQiowhCEc4+Inh3BcsON+DoRvKVocQ5NBc05SnOVo4mK5pzlKc5W5pzlKcpSlKUpfpNRX5zJ+3J8Axp91G3xc1L7U17YPCT4d+IxcW8cGorchZf+EbIRDJJab4y6mQiNgreUSlL/huH4F/9Fd1T/wQfEb/AOZ2p/4h14gf9EPxd/4jmb//ADIV/wARG8Pv+i54Q/8AEjyj/wCaz9JqK/Nn/huH4F/9Fd1T/wAEHxG/+Z2svXP27Pg7YaLrF/o3xI1TXdXstL1C70rQ/wCz/H2l/wBs6lbWk01jpX9p3Xht7XTv7Rukis/t1yjwWnnfaJlaONgccTwFxzg8NicZiuDOK6GFweHxGLxNepw9m0adDDYTD18Via1STwlo06OHw2IrVJPSMKU5PRHXl/HHBOa5hl+VZfxlwniswzTH4HK8vwtPiPJ/aYrH5njsFluBw1Pmxij7TE47MMFh6fM1H2mIhzNK7X6dUV+c1/8AtyfAOSdGtvi5qQjFlpyNs8O/EaMfaI9PtY7slT4bXLm6WYySYIlctKGcOHal/wANw/Av/oruqf8Agg+I3/zO1t/xDrxA/wCiH4u/8RzN/wD5kOT/AIiN4ff9Fzwh/wCJHlH/AM1n6TUV+bP/AA3D8C/+iu6p/wCCD4jf/M7V2w/bk+Acc8jXPxc1Ixmy1FF3+HfiNIPtEmn3UdoQo8NthxdNCY5MAROFlLIELqf8Q68QP+iH4u/8RzN//mQP+IjeH3/Rc8If+JHlH/zWfozRX5s/8Nw/Av8A6K7qn/gg+I3/AMztH/DcPwL/AOiu6p/4IPiN/wDM7R/xDrxA/wCiH4u/8RzN/wD5kD/iI3h9/wBFzwh/4keUf/NZ+k1Ffmz/AMNw/Av/AKK7qn/gg+I3/wAztXbr9uT4BtBpyw/FzUhJHZSJd7fDvxGQm4OoX8imRj4bXzX+yyWwEgLgIEi3AxlFP+IdeIH/AEQ/F3/iOZv/APMgf8RG8Pv+i54Q/wDEjyj/AOaz9GaK/Nn/AIbh+Bf/AEV3VP8AwQfEb/5naP8AhuH4F/8ARXdU/wDBB8Rv/mdo/wCIdeIH/RD8Xf8AiOZv/wDMgf8AERvD7/oueEP/ABI8o/8Ams/Saivzm079uT4Bx6hYSXfxc1I2sd7avciTw78RpUNus6NMHiHhtzIhjDbowjFxlQrZwaX/AA3D8C/+iu6p/wCCD4jf/M7R/wAQ68QP+iH4u/8AEczf/wCZA/4iN4ff9Fzwh/4keUf/ADWfpNRX5s/8Nw/Av/oruqf+CD4jf/M7R/w3D8C/+iu6p/4IPiN/8ztH/EOvED/oh+Lv/Eczf/5kD/iI3h9/0XPCH/iR5R/81n6TUV+c0n7cnwDOn2sa/FzUvtS3t+8xHh34jBzbyQactsGl/wCEbAdBJHd7Iw7GMmRiq+aC9L/huH4F/wDRXdU/8EHxG/8Amdo/4h14gf8ARD8Xf+I5m/8A8yB/xEbw+/6LnhD/AMSPKP8A5rP0mor4m+HPx+8JfFn+2f8AhX/jrVNf/sD+z/7X/ceKNK+yf2r9u+wf8hux03z/AD/7Nvf+PbzvK8n995fmReZ6/o+savLq+lRS6rqUkcmpWMckcl9dOkiPcxK6OjSlWRlJVlYEMCQQQa+azDLswynF1cvzTA4zLcfh+T2+Cx+GrYTF0fa04VqftcPXhCrT9pSnCrDmiuanOM43jJN/TZfmWX5vg6OYZVjsHmWAxHP7DG4DE0cXhK3sqk6NT2WIoTqUqns6tOdKfJN8tSEoStKLS96oooriO0KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoory344fFbRfgV8G/in8Z/EdrcX+h/CzwB4s8falp9pLDBd6lbeFtEvdYbTLOa4/cQ3epNaLY2sk/7lJ7iNpfkDVlXrU8NRq4itLkpUKc6tSVpScYQV5NRinKT1jGMYpynOcIRTlOJpRpVMRWpUKUearWqQpU43jHmnUnGEU5SajFXleU5SjCEVOc5RhCco+pUV/Phpn/BRf/go1omgfsUfE/4n/BX9lXR/hD+2z+0H8J/BfhO78Lal8U9W8c+Avhr8StSZtP0zxho2o61p2izeN/Efhi6g8ReF/GWia3qHh+zi0m+tfEXgK1vtXs7PTuW/bJ/4LEfHz9lv44+K9Lew/Y2Pw08IfFX/AIQe2+Ck/j/xd8Rf2r/HPhTw/qGg2vifxub74S6v4g+E3wWTWbXV577wz4Z+Nh8N+NbOLTb5ZvCviCe18ifqVGo8RhMJKPs8Ti8wr5UqNSUYzw+YYZ5PCvhcUk5ujUpVs9y7Dz5FioxqTrzlKGEwuIxsMVJTp1a1NSrU6eCp5hCVKLl9ZwlbE5phaNXC83s/a+1qZPjpQjN4aXLGjGSjXxNDDT/o4or8ZvjL+2H+2L8Vf2jv2hP2eP2NvhZ8BfEXgj9mX4d+FdX+O+s/GvxH4v0nxR411P4j+GX8Taf4C+EU3g6e5sPD3ie48OR6rp1jq/jLQtb8Nw+ILSafWLnTrKCwtdeh/wCCO3ibXfBP/BJX4F+I/D3w38afFnXNLuvietp8PPh/e/D3TPGOvNd/H7xtp90uk3nxW8efDLwFbnSbW6uNa1Aa/wCN9EMmmabew6X/AGlrT6dpF/GHi8RSxVazpwo4XLsXRjUXLVxFHMM0zfLIVlSfvQw0pZPXrYau5S+sx5l7HDxVKeJVapCn9T5JKt9axVbDTlT1pUJQyTAZ5Ti6llzV54fMcKqlDkj7GNaEnVqTVahh/v8Ar8fv+CgX/JZfDP8A2TLRv/Uq8Z1+yv8AZ9p/0HNL/wC/Otf/ACnr8cv+ChUMcHxo8MJFdW94p+F+isZbdbpUUnxX41BjIu7a1k3gAMSsZTDLhywZV/e/o0/8nUwf/ZPcS/8AqHl5+BfSZ/5NVjP+yh4Z/wDUzMD4Qooor/RM/wA5wooooAKKKKACiiigApCcAn0BP5DNLSE4BPoCfyGa8zO6/wBVyXOsV9e/sv6rk2cYn+0/q31z+zPq2U5riP7S+p2l9c/s76v/AGh9U5ZfW/qH1Wz+s2fu8LYT6/xTwvgP7J/t76/xNw1gf7B+u/2Z/bv17iLh/Bf2H/aXNH+zf7b+uf2N/aPNH+zv7Y/tDmj9Q5orRRRXpnhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+mn/BOj/msX/dPf/d4r9SND/wCQ1o//AGFNP/8ASuGvzB/4Jv28U/8AwuXzb61stn/Cu9v2lL1/M3f8JznZ9js7vGzA3eZ5ed67N+G2/qho9japq+lOusabKy6lYssUcWrh5CtzERGhl0qOMO5G1TJJGgJG91XLD/NP6QH/ACdviv8A7on/AKz+Vn+mX0ff+TR8J/8Adb/9aHND3qiiivxs/ZgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvNPjR4P0T4hfCD4peBPEvhjW/Gvh/xl8PfGPhjWvCHhm80fTvEvifTNc8P6hp15oPh3UPEOraBoOn69qsFw9lo19rWu6NpVnqU1tc3+q6faxS3cPpdFY4ijHEUK+Hnbkr0qlGXNBVI2qQcHeEpQU0rp8rnC9lacJKM6etGrOhWo16banQq0q0GpOLU6VSnVi1KKbi+amtUm1ulL4Zfx/fCH4JftSfFL4nfsRfA7TfD3/BQ7V/hP+zR+0v4E+JXhV/2r/2UfBv7OPwz+EXwa8Aanc6vqWl3XjfRfGfjDUvi547eCPS9F8L3etarpaaZpcF/pfg/w3DZaxLaaf8Aox48/wCCKfjLxNpH7Qvw98L/ALb3inwZ8Evjj8Xrn49QfDP/AIUL8Ptd1DTfinceKtE8RRan45+JEuv6b43+JHhvS7ay1az0bwrHf+DLS01K40HXbq6v59E1S08T/vTRXWqso+wmnJ4mjWxGJnip1JVK2Ir18Vw9jva1+aPLVnSxvC+TY2FSsq9V47DPF1Ks5zjSpYcq55uKjGgqdKjh8KoQ9lhaNH+2kqVLqo1KWf5nhqkYqjSeDxE8JGjClOrOr+U/xk/4Ju/EHxX+0F43+PvwF/bA8a/s0al8c/Afhz4fftKaB4b+GXhPxzb/ABO0nw5ptnoFtqnhG/8AFerAfCvxP/wjlvNp9n4j07TvEWq6RdznU9LuLaSfV4NX+ov2Gf2Wv+GLv2Yfhz+zh/wnX/Cyf+EAl8Xyf8Jl/wAIx/wh39rf8JV418Q+MMf8I7/wkPir7B9g/t7+zs/27e/avsn2vFv5/wBlh+tqKilJ0aVSjTtGnVjTpyjZStRo43HZhQw9OUuadLDYfF5nj6uHw1OUaFBYqrTpwVNxjBShGboOSbeGanSfNJfvVl2Eyl16tmvbYieX4DB4ariKynWqxw1KVScqkXOXy/X4/f8ABQL/AJLL4Z/7Jlo3/qVeM6/YGvkn9oT9kf8A4Xl4l0Txz/wsD/hF/suhDwn/AGX/AMIp/bfmf2TqF5rH2/7d/wAJLpG37R/wkn2f7L9kbyvsXnfaZPtHlQfrngdxRkfB/H+GzviLHf2fllPJs8ws8T9XxWKtXxmGwdPD0/Y4OjXrv2k6VRcypuEeW85RTTf5F458LZ7xj4f4nJOHMD/aOZ1M5yPFww31nC4W+HweJxlTE1PbYyth6C9nCrTfK6inPmtCMmml+JtFfpp/w7o/6rF/5j3/APDij/h3R/1WL/zHv/4cV/Z3/EwHhJ/0Vf8A5hOIP/nWfxb/AMS++Ln/AESf/mb4e/8AnofmXRX6af8ADuj/AKrF/wCY9/8Aw4q1ff8ABN/7Fe3ln/wuXzPsl1cW3mf8K72eZ5Erxb9n/Ccvs37N23c23ONxxkn/ABMB4Sf9FX/5hOIP/nWH/Evvi5/0Sf8A5m+Hv/nofmDRX6af8O6P+qxf+Y9//Dij/h3R/wBVi/8AMe//AIcUf8TAeEn/AEVf/mE4g/8AnWH/ABL74uf9En/5m+Hv/nofmXRX6fJ/wTf32Vxef8Llx5F1Z23l/wDCu87/ALXFfS79/wDwnI2+X9i27dp3+ZncuzD1f+HdH/VYv/Me/wD4cUf8TAeEn/RV/wDmE4g/+dYf8S++Ln/RJ/8Amb4e/wDnofmXSE4BPoCfyGa/TX/h3R/1WL/zHv8A+HFcx43/AGDP+EN8F+L/ABf/AMLV/tH/AIRXwvr/AIk/s/8A4Qb7H9v/ALD0q71P7F9r/wCEwuvsv2r7L5H2j7NceR5nm+RNt8tuLMvH/wAKnluYrD8bf2fiHl2YLD5h/q7n2K+oV3gMcqGP+qzyvkxP1Gu6ON+rT9zE/U/q8/dxEj1+H/o9eK9TiDIKeI4A/trD1M+yKniMl/1nyHL/AO2cPUzvJoV8m/tCGaqeX/2vQnWyn6/BqeB/tX69BqWCi1+eVFfp9ef8E3/skqRf8Ll8zfa2Nzu/4V3sx9tsre82Y/4Tls+X5/l7sjfs37U3bRV/4d0f9Vi/8x7/APhxXb/xMB4Sf9FX/wCYTiD/AOdZ5H/Evvi5/wBEn/5m+Hv/AJ6H5l0V+mn/AA7o/wCqxf8AmPf/AMOKtWf/AATf+1yvF/wuXy9lrfXO7/hXe/P2KyuLzZj/AITlceZ5Hl7snZv37X27Sf8AEwHhJ/0Vf/mE4g/+dYf8S++Ln/RJ/wDmb4e/+eh+YNFfpp/w7o/6rF/5j3/8OKP+HdH/AFWL/wAx7/8AhxR/xMB4Sf8ARV/+YTiD/wCdYf8AEvvi5/0Sf/mb4e/+eh+ZdFfpp/w7o/6rF/5j3/8ADirVx/wTf8iKxl/4XLv+22r3O3/hXe3y9l7eWezP/Ccnfn7J5m7CY8zZtOzcx/xMB4Sf9FX/AOYTiD/51h/xL74uf9En/wCZvh7/AOeh+YNFfpp/w7o/6rF/5j3/APDij/h3R/1WL/zHv/4cUf8AEwHhJ/0Vf/mE4g/+dYf8S++Ln/RJ/wDmb4e/+eh+ZdFfp9Y/8E3/ALbe2dn/AMLl8v7XdW9t5n/Cu9/l+fKkW/Z/wnKb9m/dt3LuxjcM5FX/AId0f9Vi/wDMe/8A4cUf8TAeEn/RV/8AmE4g/wDnWH/Evvi5/wBEn/5m+Hv/AJ6H5l0V+mn/AA7o/wCqxf8AmPf/AMOKP+HdH/VYv/Me/wD4cUf8TAeEn/RV/wDmE4g/+dYf8S++Ln/RJ/8Amb4e/wDnofmXRX6fP/wTf2WVvef8Llz591eW3l/8K7xs+yRWMu/f/wAJyd3mfbdu3aNnl53NvwlX/h3R/wBVi/8AMe//AIcUf8TAeEn/AEVf/mE4g/8AnWH/ABL74uf9En/5m+Hv/noH/BOj/msX/dPf/d4r9SND/wCQ1o//AGFNP/8ASuGvlH9nP9nP/hQP/CY/8Vj/AMJZ/wAJZ/wj3/Mvf2D/AGf/AGD/AG5/1HNZ+1fav7Z/6dvI+zf8tvO/dfV2h/8AIa0f/sKaf/6Vw1/D3jBxBlHFPiJxBnuRYv69lWO/sv6rivYYjDe1+rZPgMLW/c4qlRrw5K9GrD36Uebl5o3g4yf9y+DvD2b8K+HXD2Q59hPqOa4H+1PrWF9vh8T7L6znGPxVH99hatahPnoVqVT93Vly83LK01KK+jKKKK/ND9NCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAor5v/aq/ap+E37HXwkv/jF8YLrWzocWrab4b0Hw94V0tNc8Y+NfF2tfaDo/hHwho8t3p9tqGu6lHaXk8Md7qWm2EFrZXd3fahaW1vJKv423P/BTb4q/En9pv9prQtB1T48fs5fCn4X/APBOv4h/GGf4Z/Fb9nbwNpvxq+FPxj8MeKLGO38cTeCvGklg3iu7fwdquleIfDnhjUfiYfh9r9hqunx6jNpuo/2iunYutD9/y++sNQx1fESTjGFFYDLHmtSnOc3GHtamF5HCEHVdOVWhLFRwlHEUK1bVUZ8tOT9321TB06MWpSnV+uZrhsnhOnCClJ06eLxMVUnJUoyVOtChOviKcsOv6IqK/JC4/wCCovw3+EHwv/Zn0rX/AAn+1B+1X8Wfib+zD4P+P3iNfgf8B/DWo+OLLwHdaLosdz8Vfid4G0Hxxa+E/h5ZeJNZu7159K8L+IPEuh+G723u7Ka/t9Nk0K81b1Px5/wVB/Z78JfCf9nT4p+FfCfxx+N11+1Pbape/B74U/BH4at41+MOuWPhrS7jUvG15P4Ouda0WCKHwNLAdM8Sra6xezres9zo8Or6NZ6jq1n1V6boVMRTclP6tj55bOUI1GpYuGKzDBqEKbp+3lGeIyrMaUaioSpKpgcZTniIVMHi44fnpT9rGhJJweIwc8fCM5U01hadKFepVnNT9jBQoVaFeSnVpz9jiMNVjSlTxGHnX/Ryivzstv8AgqD+y637J95+17q9z4/8MeDLHxhq3wym+HPiLwebP4zyfF7Sru4sx8IrXwTb6neWd349vngWe3s7fX5NFsrGWTUNc1zSLHTtZuNM1vgR/wAFHvgT8ab34o+H/Efhf4zfs1ePPg94Lu/if42+Gn7Unw6l+E/j20+FNharc3vxPstHGq6/b3/gyzcy2l5eQ6h/aNncRK13pkNpfaXdX+crReIUpRX1Wi6+Ik5w9nTorA0MzdX2qm6NSMctxOGzGfsK2JlDAYihjakIYWtSr1Lj70aEoqUliayw9BKE+epWeOqZYqfs+RVYSeZUqmXR9tSoRlmEJYGM3i19WPv2ivy/+C3/AAVb+APx7+IPh34baH4B/aQ+Ga/FHSPHmo/An4pfFr4PP4Q+F3x0i8B20t5q9x8JfEM2v38uvumjxv4htodd0rw7GLNItN1V9N1+9stFuev/AGKf2rPCniX9hLwN+0x8dP2h4NR8LS3njCLxP8d/jz4Y+FP7NFti3+LOveBNEj8T6D4Z8a6/8NPCCpqS6T4Q0OS28XXD+IpjpNzcLBrutSabHcac5Rqy5JRjSoYbENzi05QxONxGAUHF2qUatLEYeUa9LE08PVpudOEqMKsuVzKcI+z96MnUxM8KlFppThgqmPVRTV6dWjUo0aqpVMPUrwnKlUcasoU6jp+41/K5/wAFxP8Ak7H4e/8AZvHhP/1ZPxar+rf+w9a/6A+qf+C+7/8AjNfyof8ABcy1urP9rT4eRXdtcWsjfs6+EpFjuIZIHKH4lfFxQ4SVVYoWVlDAYJVgDkHH6l4M/wDJc4f/ALFOc/8AqPhD8u8Y/wDkiMR/2Nsn/wDUjFH4xUUUV/XZ/JQUUUUAFFFFABRRRQAVueGNG/4SPxL4e8Pfafsf9va5pOjfbPJ+0fZP7Uv7ex+0/Z/Ng8/yPP8AN8nz4fN2bPNj3bxh1ueGNG/4SPxL4e8Pfafsf9va5pOjfbPJ+0fZP7Uv7ex+0/Z/Ng8/yPP83yfPh83Zs82PdvHBmtb6vlWaYj63/Z/1fK8zr/X/AGH1r6h7DLcwr/Xvq1n9Z+o+x+u/VrP6z9T+r2ft7P2eHMN9d4i4dwX9m/219d4gyDB/2N9b/s/+2frme5JhP7H/ALQvH6h/a/1r+yvr/NH6j/an13mj9T5o4dFFFd54wUUUUAfsr/wQ7/5Ox+IX/ZvHiz/1ZPwlr+qOv5ZP+CGdrdXn7WnxDitLa4upF/Z18WyNHbwyTuEHxK+EalykSswQMyqWIwCygnJGf6r/AOw9a/6A+qf+C+7/APjNfyJ4zf8AJc4j/sU5N/6j4s/rXwc/5IjD/wDY2zj/ANSMKZdamof8emh/9gub/wBPWsUf2HrX/QH1T/wX3f8A8ZrSvtH1d7bR1TStSZotNljlVbG6YxudX1WUJIBESjmOSOQK2CUkR8bWUn8qP1M5mitT+w9a/wCgPqn/AIL7v/4zR/Yetf8AQH1T/wAF93/8ZoAND/5DWj/9hTT/AP0rhrLrptH0fV4tX0qWXStSjjj1KxkkkksbpEjRLmJnd3aIKqKoLMzEBQCSQBWb/Yetf9AfVP8AwX3f/wAZoAy6K1P7D1r/AKA+qf8Agvu//jNH9h61/wBAfVP/AAX3f/xmgAm/5Aun/wDYU1j/ANJNDrLrppdH1c6RYxDStSMialqsjxixui6pJbaOsbsnlblSRopVRiAGMcgUko2M3+w9a/6A+qf+C+7/APjNAGXWpof/ACGtH/7Cmn/+lcNH9h61/wBAfVP/AAX3f/xmtLR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAUAe9UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5s/8FOP2cPjN8fPhP8ACTxL+z1aaLrvxj/Zv/aC+HX7RHgzwR4j1eHQ9H+IF34CbU/M8JPql9d2Oj6ff3rahBc2N5rV5Z6aPsk9nPf6eL0XsH53+LP2dP8AgoL+0b8e/wBq748fFH9lPQfgzF8WP+Ca/wAUf2cfhx4I0f44fCz4h6hD4+1DxJaz+H/CvijxRZap4dtp9c8QzRavr0Gtx6Xb+CtF8O3+g6TqPiOLXbbVLeL+jaisHQg6WKoycpUsT/aclFtf7PVznKcNkuZVsO0lJTxGDwWDfLVdajSr4dVaVOLrV1Lb281KhUSiqlCOBpc6TvWoZbncOIMHQqptx5KWYRm3OmqdWdCtOjOo4xpSh/MH+1R/wTp/aK+IXwn/AGK9Gu/2NvD3xu1X4W/snfCj4WeINW+GX7RXh79nz9pj4M/ErwLaaLealp//AAsTxnr3jn4B+O/h9NdLqFnpsFt8MfFXiDTtTuNfvtE8T6DBcWOpan2Xx8/YJ/bO+Jn7En7J3gH45fCDwr+278UvAr/Ep/ihZa58dtS8CftIeA2+Ict1feFbz4cftEeJPEo+Gev6j4Ks00rR/HcHxK8F/FPQdb1LR9FXQNJ1/TLCDWbT+kqiunESeJ+ve0Uf9vziWdVUoqUKeKnjsfmE40acr04KdXMa9KeIiqWOnhqeFoTxVVYdTr4UUqDwjg3fB5dPLIS5nGc8PLDPCrnqQtUtCDVSOHTng/rHPW+rRlVqQX83fhj/AIJ+/t6z/sS/D238Qaxe6v8AHP8AZ2/a/wDDf7UH7O/wF+NfxktPipf6T8N/hjp8WjeFPgL4q+MegpoHhCfVbuG0e+0K70aPSvAunJJa2Ef/AAgsWt6qvhf2G4/Y/wD2sP24vjH8bPj7+0z8KfD/AOx2+p/sdfEH9kf4V/DTT/itoHxj8Q3+p+P01e/u/iR4x8Y/D2Gx0aTwpptzr9xZWfhgCLVZp4ZZmsrSO1i1DXf3joqcRbFPEe3TnGt9bnBOc3LDYnH5Lhsgx2OpVn+/q4zF4DC05Va2Mnik8dKtmCpyxNaopuhfD/V3RahKh7GHMoQUauFw2dx4gw+AlRX7mlg6OYwpuFLCww8vqkFgfaQw8pcv43fsij/gpx4U8O/BL9mLx9+zD8FvhN8Hvgf8Op/hx48+OGp/F3T/AIm33xj0HwT4ei8JeCD8H/A3hDWtE1nwDrviL7HY6lqGofE+G+0yLSJr++m0zRdZtLXwpqH0P/wSw+BvxS/Zw/Yc+D/we+M/hf8A4Q34jeFr74mTa94d/tvw74i+wx+IPip408SaQ39r+FNX13Qrr7Xourafe4s9TuGt/tH2e6EN3FPBH+hVFbyxFSpUxleq41MTmEKCxuIlG1TEVaGY4vM3iGotU6cqmJxtdOjRpww1OnKSo04yqVZvJUYRpYahTvTw+DxE8RhaMZNwo8+Ar5e6fNJOpUj7GvKcqtWcq9SpCi5z5KUYS+X6/lc/4Lif8nY/D3/s3jwn/wCrJ+LVf1R1+BX/AAVU/Yg/ah/aP+P3gr4g/Bj4Y/8ACZeENP8Ag/ong281f/hNPh54d8nxJpPjTx7reoab9g8V+LNC1OT7PpnibRLn7ZFZPYS/bfJgupLi2u4rf9D8Jsfgct4yoYrMMZhcDhllebU3iMZXpYagqlShhlTg6taUIKdRxkoRcrycWkm0z888V8Djcx4Pr4XL8HisdiXmeVVFh8JQq4ms6dOviXUmqVGM5uEFKLnJRtFSTbSaP5vKK/Q7/h1L+3z/ANEF/wDMo/Bj/wCeLR/w6l/b5/6IL/5lH4Mf/PFr+pP9b+E/+imyD/w8YD/5efzB/qjxV/0TWf8A/hox/wD8oPzxor9Dv+HUv7fP/RBf/Mo/Bj/54tSz/wDBJ/8Ab+tp5reb4B7JreWSGVP+Fp/BZtksTmORdyfEZkba6kblZlOMqSMGj/W/hP8A6KbIP/DxgP8A5eH+qPFX/RNZ/wD+GjH/APyg/Oyiv0O/4dS/t8/9EF/8yj8GP/ni0f8ADqX9vn/ogv8A5lH4Mf8AzxaP9b+E/wDopsg/8PGA/wDl4f6o8Vf9E1n/AP4aMf8A/KD88aK/RMf8En/2/mgkuB8A8wxSwwyP/wALT+C3yy3CTyRLtPxG3neltMdyqVXZhipZA0X/AA6l/b5/6IL/AOZR+DH/AM8Wj/W/hP8A6KbIP/DxgP8A5eH+qPFX/RNZ/wD+GjH/APyg/PGtzwxo3/CR+JfD3h77T9j/ALe1zSdG+2eT9o+yf2pf29j9p+z+bB5/kef5vk+fD5uzZ5se7ePvL/h1L+3z/wBEF/8AMo/Bj/54tQ3H/BLf9trRrefV/Ffwe/4R7wtpUMupeJfEH/CwfhLq39h6BYo11rOsf2VpvxBl1HU/7M06K5vf7PsIpL298j7NaxvPLGp4sy4y4Wp5bmVSnxfkODqU8uzCpTxkMfgcZPB1IYDHThi4YNVpPFzwk4QxUMIoyeKlho4VRk8Soy9fh/gvijE8QZBhqnBWe5tTxOfZHh6mUzwuOy2GbU8RneTYeeVTzJ0oLLoZpCvPLJZi5wWXxzGWPcorAuUfz3or9E5v+CT/AO39buI5fgHsdooJgP8AhafwWbMVzBHcQtlfiMw+eGWN9pO5d21wrhlEX/DqX9vn/ogv/mUfgx/88Wu3/W/hP/opsg/8PGA/+Xnkf6o8Vf8ARNZ//wCGjH//ACg/PGiv0O/4dS/t8/8ARBf/ADKPwY/+eLUsP/BJ/wDb+uHMcXwD3usU8xH/AAtP4LLiK2gkuJmy3xGUfJDFI+0Hc23agZyqk/1v4T/6KbIP/DxgP/l4f6o8Vf8ARNZ//wCGjH//ACg+gv8Agh3/AMnY/EL/ALN48Wf+rJ+Etf1R1+Av/BKz9if9pz9m79oTxj45+NHwz/4Qzwtqvwa8Q+FLDVP+Ez+H3iLz9fvvG/w71e1sPsXhTxXruoxebp2harcfaprSOyT7L5Mlyk89tFN+/Vfy34s4/A5lxlXxWX4zC47DPK8pprEYOvSxNB1KdDEqpBVaMpwc6blFTipXi5JNJtH9P+FGBxuXcH0MLmGDxWBxKzPNajw+LoVcNWVOpXwzpzdKtGE1CajJwk42kotptJhWpqH/AB6aH/2C5v8A09axWXWpqH/Hpof/AGC5v/T1rFfmp+kGXRRRQBqaH/yGtH/7Cmn/APpXDWXWpof/ACGtH/7Cmn/+lcNZdABRRRQBqTf8gXT/APsKax/6SaHWXWpN/wAgXT/+wprH/pJodZdABWpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFfM3gL9qv4efET9pf46fsr6Jo3jO1+IX7Pug+APEPjPWNU07Q4PBup2XxG0W113RIvDGoWniK+1u9urW0u449VTVfD2ixQXKulpPfRBZmI+/VjQj71WdLE14018UqODpQr4qolouWhRq06lR8yajOLjGbvFD92nOq9KdOdCnOb+GM8VX+rYeL63rYh+yho7z0bivePpmiiigAooooAKK57xd4r0DwJ4U8TeN/Fd//ZXhfwd4f1nxT4j1T7Le339naD4f0651bV777FptteajefZNPtLi4+y2FpdXk/l+Va280zpG3HfBL4v+Evj98J/AXxn8Brqq+DPiP4etPFHho65ZR6dqsmkXxk+xzXtjFc3i2ks8aCYQNcPLHHIizLFMJIkItTdWMfedCFGdZLX2UMTUrUcPKp/Kq1XD14Uru83Rq8q5acpIl7qpuWiqzqwpN6e0nQpUq1aMP5nSpV6NSpb4Y1ad3ecYvzGv5bP+C33/AAUi/bR/ZD/an+HXws/Z3+M3/CvfAer/ALP/AIa8f6hoX/Cu/hR4s+0eLta+IvxS8O6nq39p+OPAviXWYvtOjeEPDtn9gg1CLTIf7P8AtFvZRXV3fT3P9SdfxFf8HKP/ACfP8Kf+zTvAv/q4PjtX2HAuFw2L4gpUcXh6OJovBY6bpYilCtTcoUqLhJwqRlFyi23F2um21ufJ8a4nEYXIqlbC162GqrGYKKq0Kk6VRRnUrKUVODjLlkklJXs0lfY+Tv8Ah+N/wVH/AOjn/wDzCv7O/wD86Wj/AIfjf8FR/wDo5/8A8wr+zv8A/Olr8naK/av7ByP/AKE2V/8AhBhf/lR+P/25nX/Q3zP/AMLsT/8ALD9Yv+H43/BUf/o5/wD8wr+zv/8AOlqWf/guZ/wVMuZ5rib9qLfNcSyTSv8A8KT/AGdl3yyuZJG2p8I1RdzsTtVVUZwoAwK/Jiij+wcj/wChNlf/AIQYX/5UH9uZ1/0N8z/8LsT/APLD9Yv+H43/AAVH/wCjn/8AzCv7O/8A86Wv7Hf+CVfxx+KX7SP7BXwI+NPxp8Uf8Jn8TPGf/C0P+El8S/2J4d8O/wBpf8I78ZviJ4U0b/iTeFNI0LQLP7HoGhaVYf6BpVr9o+y/arrz72e5uZv84Cv9Cb/ghz/yi4/Zg/7rX/60R8Wq+F8QMsy3BZNhquDy/BYWrLMqNOVTDYWjRnKDw2Kk4OdOEZOLlGLcW7NxTtdI+04FzHMMZm2Ip4vHYzE045fVnGniMTWrQU1iMNFTUak5RUlGUkpJXSk1ezZ+u0P/ACBdQ/7Cmj/+kmuVl1qQ/wDIF1D/ALCmj/8ApJrlZdfj5+sBXMeN/En/AAhvgvxf4v8AsX9o/wDCK+F9f8Sf2f8AaPsf2/8AsPSrvU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbp65jxv4k/4Q3wX4v8X/Yv7R/4RXwvr/iT+z/tH2P7f/YelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2GJlyYbEz9r7Dkw2In7fk9p7Dkw9eftvZ6+09jye29nZ+09l7Oz57Ho5RR+s5vlOG+p/2j9YzbKsP/Z31j6p/aH1jM8tof2f9auvqv1/2/1H61dfVvrv1m6+r3Xd6x/x9w/9gvQ//TLp9Zdamsf8fcP/AGC9D/8ATLp9ZdbnnBWpo/8Ax9zf9gvXP/TLqFZdamj/APH3N/2C9c/9MuoUAZdFFFABWpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFAGXRRRQBqaH/yGtH/AOwpp/8A6Vw1l1qaH/yGtH/7Cmn/APpXDWXQAUUUUAak3/IF0/8A7Cmsf+kmh1l1qTf8gXT/APsKax/6SaHWXQAVqaH/AMhrR/8AsKaf/wClcNZdamh/8hrR/wDsKaf/AOlcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfwq/t0/ETwN8QPiB8ff2k/hnq3grwf8ZPh9+19e+EdH8d/G39qbxhqv7X8M/hTxT4esvDp/Z++AvgHTPBvgX4YfA7wFJpmrxm/wDiZp/j/X4bC4vINO8XQ61psFs33z8WfAv7CfxQ/wCCqX7fXhn9vT4iaZ4W8Kf8Kk+AviXwTpfiT4oa58LfCWteKNK+EHg+3v8AxJBf6Pr3hyy8SeO/Ctjq+zwT4Wv5NUfULTxH4mksPDerrBdraf0c63+yz+zH4m1rxl4l8Sfs5fAfxB4j+I1pHYfELX9b+EPw+1XWvHdhDqOj6xFZeMtVv/D1xfeKLSLVvD2gapHba3PfQpqOh6PeqgudMspYE8W/sr/sweP77WdU8d/s4fAbxrqfiKTw/N4g1Hxb8IPh74kvtdl8J6XNofhWXWbvWfDt7canJ4Z0W5uNI8PveyTto2lzzafpxtrSV4W5qNB0svwmCbhKdDCZrQdXllaliM34YwGR4nGYNXjKjUhmWCnnlKD9moVsQqUq1bEUP7WxO9aqquNxeKi6tNYh4ZR5HCNV0cFxLTzvC0cRLllCtGGAi8mlJpuVPmrxp0qWIxGWv+Rzx9e+M/ix/wAE6v8AgnlbfFP4t/D3XYtN8T/tKXHw/wDg9+1r4n+Lvw3+Gf7Qng/wVdX/AIb+G0mr/GLwPrfgnw14T8W+AdLS80nwHa/E/wCNXwu0maw1ezsrPxFJon2jTdc9I0P4vyz/APBLnwL8MtNl+K/wf/Z80T/goH4c+AX7VviDR/jNp3xh8NeHfgd4ktrfVPiNpXwt+K/gTw1LawfAy81vWBaafZwaj44UpqFpod58QPiRZ+LZv7V/rL8a/Bn4P/Erwhp3w9+I3wp+G3j/AMA6PJps2k+B/GvgXwv4q8IaXLo1pJYaRLp3hrXdLv8ARbKTSrGaWy017ayiaxtJZLe1MULshn0r4SfCnQvh3J8IdE+GPw90f4TzaVqmhS/C/SvBfhvT/h3LomuSXcutaPJ4KtNNh8NPpWsS399JqmntphtNQkvLt7uGZriYv3SqJ1cym6ccTDGZpl2YRoYu04Y36hmOT42os4nTjGWIqY+OV1ljY06eJoVMVjpV6SoYSnXyrMeXkvHL1F/VZYXBZpg1LB3prARzPDcRUIrKIVJyVGOXyzvCvL51p0a9Gjk2Ep1ZYms8Njsq/mLn074H/CP4t/tt/Bb/AIJ4+L7LxZ+x5q//AATJ+OPj742+H/BXxO1j4vfCPwZ8Zv8AhHvFekeGdb0PxlqXiTxjDF4313QbPTdP1LSYPEEslzpJvXmWZdChtND8U+On7NnwB+Bv/BKz9hT4xq/ibwj4k+OHx0/ZD8VfHr4xWXiTxfq3jddC0jwF8T7uyvPDa3Oq6onhofDvw3qlzY+E7HwZpumeTBpGkE2l7fWdu4/rF8Ifs/8AwH+H3g7xL8O/APwT+Efgj4f+NE1CPxj4F8IfDfwb4a8HeLE1bTV0XVU8S+GNF0ay0TXU1PR0TSdQXVLG6F7pqLYXIktVEQ+c/wBrL9iDw3+0h8M/gL8K/CHiHRPgj4W+Avx0+Fvxh0DSPDfw+sNR8PvpPwwttbtLLwDo/h3TNd8H6d4X068g1dIrW/shd22kRWixRaFdJKBDlS/dzwabliH/AGnwisRisXapNZdlnFGZZtmdHEKD9pVy+lhMzoYShhaU54irl2VLDVXVlPB4XC6NqSrNwjTp+x4jqwwuH9ynUxeM4L/sHAVYe0pzpQzCvj8PLF18VUoOhTxeYU60YSjRxtbE/gje/B79lO2/aC/a7+A/7EOuR/ET9kfxZ/wTj8d/Ev43+FPAXxW8U/E74aWPxt8G61e618M9Yj8aDxjr19N4zhvdM0O7/sqHX7y4jhu9a0ye3bSb3W9Js/04/wCCSPwg/Zn8Wf8ABNrwJ4M+GmuX1t/wn9poXif9oCb4P/Hj4neDvHmmfGiG18MzazFfeMvht8RND+IPwu1uez8M+G01Lwx4Z13wjY6h4fd7a50i40LxHqUWqfql8Pvgt8HPhJa6/Y/Cr4TfDP4ZWXiu9/tLxRZ/D7wH4W8GWviTUfLkh+36/b+HNK02LWL3yppovtWopcz+XLInmbXYGb4a/B74R/BnStQ0L4P/AAs+HPwo0TVtSbWdU0b4a+CPDPgXStS1d7eC0fVdQ07wvpml2l5qT2ttbWzX1zDJdNb28EJlMcUareGm6FPEUnOrU+sZZgMLOrKSdZ18Hned5rGlKVkp5bQwub0sswVOV8TRoZXhFLlouOHwedeLrSoz9xOjmWIxahyyVOcK+TZbllTFSi6lSUc0xOKy6eaYuqpSoVMTj8U/aVqyli8b5z/bF3/zx0v/AMEei/8Ayvr+H3/g5ZuZLr9uv4TySrbqw/ZL8CoBb2trZpgfGH48MCYrSGCNnyxzIyFyAqliqqB/bdX8RX/Byj/yfP8ACn/s07wL/wCrg+O1faeHv/JS0v8AsBzD/wBNUD5Djz/knav/AGG4D/07WP57KKKK/eT8RCiiigAr/Q1/4IZ6lcW//BLP9l2GOOwZE/4XZgzaVpdzKd37RPxcY7prizlmfliF3yNtXCLhFVR/nlV/oTf8EOf+UXH7MH/da/8A1oj4tV+e+JP/ACI8L/2NKP8A6i4s+88PP+R1if8AsWVv/UnCn7ERardHSL6TytN3LqWlIANH0gIRJbawzFohYiN3BjXZI6M8YMixsqyyh83+2Lv/AJ46X/4I9F/+V9EP/IF1D/sKaP8A+kmuVl1+In7Ian9sXf8Azx0v/wAEei//ACvrmPG/ju78G+C/F/i/+zdL1H/hFfC+v+JP7P8A7M0Wz+3/ANh6Vd6n9i+1/wBkXX2X7V9l8j7R9muPI8zzfIm2+W2nXMeN/En/AAhvgvxf4v8AsX9o/wDCK+F9f8Sf2f8AaPsf2/8AsPSrvU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbDEy5MNiZ+19hyYbET9vye09hyYevP23s9faex5Pbezs/aey9nZ89j0coo/Wc3ynDfU/7R+sZtlWH/ALO+sfVP7Q+sZnltD+z/AK1dfVfr/t/qP1q6+rfXfrN19XuvTdV1W6juYlWLTSDpujv8+j6RIcyaRYyMA0lizBAzERxghIkCxRKkaIi5v9sXf/PHS/8AwR6L/wDK+jWP+PuH/sF6H/6ZdPrLrc841P7Yu/8Anjpf/gj0X/5X1paVqt1Jcyq0WmgDTdYf5NH0iM5j0i+kUFo7FWKFlAkjJKSoWilV43dG5mtTR/8Aj7m/7Beuf+mXUKAD+2Lv/njpf/gj0X/5X0f2xd/88dL/APBHov8A8r6y6KANT+2Lv/njpf8A4I9F/wDlfWlfardLbaOwi00mTTZXbdo+kOARq+qx4jV7FliTbGpMcQRC5eUqZJJHbma1NQ/49ND/AOwXN/6etYoAP7Yu/wDnjpf/AII9F/8AlfR/bF3/AM8dL/8ABHov/wAr6y6KAOm0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysARm/2xd/88dL/APBHov8A8r6ND/5DWj/9hTT/AP0rhrLoA1P7Yu/+eOl/+CPRf/lfR/bF3/zx0v8A8Eei/wDyvrLooA6aXVboaRYyeVpu5tS1VCDo+kFAI7bR2UrEbExo5Mjb5ERXkAjWRmWKIJm/2xd/88dL/wDBHov/AMr6Jv8AkC6f/wBhTWP/AEk0OsugDU/ti7/546X/AOCPRf8A5X1paPqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAI5mtTQ/+Q1o/wD2FNP/APSuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK4zwZ8R/h58R4tfn+HnjzwZ48g8KeJNS8G+KJvBnijQ/FEXhvxfowhOseFdfk0O+vk0fxJpQubc6loeotbapYi4hN1axCWPcLVtLVxh7SSWrjDnjT55JXcYe0nCnzySh7ScKfP7SUYSHolJ6JzVNN6J1HGU1BN2Tm4QnNQTc3CE5qDhCco9nRRRQAUUUUAFFFFABRRRQB8v1+JX/AAUv/wCCz/8Aw7y+NHgv4E/8M2/8Lf8A+Eg+F+nfFr/hKf8AhcP/AAgH2T/hJfFfi7wd/wAI/wD2H/wqzxt9o+xf8K8/tH+1f7Xg+0/2v9k/s2D+z/tV7+2tfxAf8HLH/J9Xwo/7NM8C/wDq4fjvX0/CGXYPNM6p4THUfb4eWFxlR0/aVKd50qdKVOXNSnCfuuUnbms76p6HzfFePxeW5PPFYKr7GusThKanyU6loValSM1y1Yzh7yilfluraNan1n/xFE/9WN/+bMf/AJP1H/EUT/1Y3/5sx/8Ak/V/JnRX6v8A6k8M/wDQt/8ALvG//NB+Y/648Rf9DD/y1wf/AMzn9Zn/ABFE/wDVjf8A5sx/+T9Vq+/4Okvtt7eXn/DDHl/a7q4ufL/4aa3+X58ry7N//DPib9m/bu2ruxnaM4H8lNFH+pPDP/Qt/wDLvG//ADQH+uPEX/Qw/wDLXB//ADOf6GX/AAS7/wCCon/Dyb/heX/Fjf8AhTH/AApj/hWf/NTP+Fi/8JJ/wsX/AIWD/wBU+8Cf2P8A2P8A8IJ/1Ff7Q/tX/lx+w/6Z+s1fyZ/8Gu3/ADfJ/wB2z/8AvwNf1mV+Q8UYLC5dnuOweDpexw1H6v7OnzzqcvtMLRqT9+pKc3ec5S96TteyskkfqvDeMxOYZLg8Xi6ntcRV+se0qckIc3Jia1OPu04xgrQjFaRV7Xd22zUh/wCQLqH/AGFNH/8ASTXKy61If+QLqH/YU0f/ANJNcrLr5890K5jxv4k/4Q3wX4v8X/Yv7R/4RXwvr/iT+z/tH2P7f/YelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W3T1zHjfxJ/whvgvxf4v+xf2j/wAIr4X1/wASf2f9o+x/b/7D0q71P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y2wxMuTDYmftfYcmGxE/b8ntPYcmHrz9t7PX2nseT23s7P2nsvZ2fPY9HKKP1nN8pw31P+0frGbZVh/7O+sfVP7Q+sZnltD+z/rV19V+v+3+o/Wrr6t9d+s3X1e67vWP+PuH/ALBeh/8Apl0+sutTWP8Aj7h/7Beh/wDpl0+sutzzgrU0f/j7m/7Beuf+mXUKy61NH/4+5v8AsF65/wCmXUKAMuiiigArU1D/AI9ND/7Bc3/p61isutTUP+PTQ/8AsFzf+nrWKAMuiiigDU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhrLoAKKKKANSb/kC6f/2FNY/9JNDrLrUm/wCQLp//AGFNY/8ASTQ6y6ACtTQ/+Q1o/wD2FNP/APSuGsutTQ/+Q1o//YU0/wD9K4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8gf2pfjH+1l8T/27/An7Df7MHxz8O/sv2um/s/al+0P8Qfizqvwq8N/FzxD4hhfxVc+DdK8FeHPCfjaNPD01rBdfYNS1C7ttQ0vUVin1C4GpbdGXRta/Hr4P/tbfHz9kn9lb9oHRfAgivf2g/jl/wVl+L3wj1PxJ8MPh3/wtbUNC1G68M+Er7xx4k+Dvws1rWbWw8c+Jm1O3jtvh/wCDvFGufYtSkv7ez1WeR1kuYf6G/wBqf/gn/wDCX9qnx54B+LWpePvjl8D/AIxfDjStS8N6D8Xf2cviKvwy+Ic3hDVheteeENS12TRNfWbQGuNS1C5jjtbSz1CJ9Q1C3TUBYahfWlz47on/AASE/ZT0D9nvxt+zhY6p8Yf+ET8VfHKb9ojw94vk8dWA+J/wp+J/2DSNL03WPhr40g8MwXFn/YmnaRHa6dP4stPF+qzi8vrjWdT1W8kgubfDDxnTw9ZVOb2tSmsPi1CopVswpf665fnM1h8TN0/7PpS4ew9HARwcpQorGZbUbnBZnLGy2xEoVJ0lTUeSFbCYjDc8HGlga1HhbOsrqVK9GKm8dVlneNpY5V1CdWOGxCjGLeBWDq/mnL+3t/wUP8E/sRftu+JfiDp37QHhPxx8Gofgz4h+BX7SHx8/ZB8Lfs6eKPFNl45+I3hjwx458Max8K7pfHXwkuLzw0Lq6tNGudIu9durrQtV/tbWRpuqx2SQ/RVl+0R+3R+yh+0T+yZD+01+0L4C/aL+FP7X/g74kahqngjw58I/CPwzk+CfiTwd4E0/4hGLwPr/AIdmvfEPjzQbQ39vocOt+KLm6bUNK+1S3GjWWr3OmX1dh+03/wAEwf8AhE/2Cv2tvhN+zafip+0B+0R+0VqPwy1jxP4/+OfxP8P+Ivix8SbjwR8QPCF/pmn6/wDEDxS/grw0mm+EfC9hrJ0eG6OnSNE00D3Go301qh+hf2Y/+CYnwY+BnjvwB8adW8UfHP4ieOvAvw5j8GfDjwT8ZPivc/Ev4f8A7PunazoMGk+JPDHwc0m9s3udD0cae914bt7bUPEPia0t9FZoLCRWf7U3RFzm8ZKFSnRqUpZXQ+sVaLq068XwdxDSxNOhgaigmp51icidbMqMKKp4rKZ4icIV8UoY7CSjClh4yhOrGrUziqqFOsqVWklnfC0sDVrY6m6soKnhaGfVaeAqOt7bD5nUw9NypYeVLA/kZ+zN/wAFKf8Ago98XPiZ8H/jFF8P/wBpb4j/AAd+KfxXttB8WfCPwz+wzp8P7Ofgj4V6t4kvvC954r+H/wC1boHibWfiL4s8Q+C4bay1W/h8WeHtN8Nf2v8A8JPp+qarFp+kWX2j7F+BHxh/4KIfGP4mft8/EDw58dNJ8QeAP2TPjt+0p8PPhT+zcfg78O5b74x6z4d8O63L8O/A2u/Eaxs9G8S+H9A8L6unhR9Pm0tJvFfjC41HWdP13xbbwCwurT6b+Hf/AASI/Zh+GvxX8LfEXSPFnx91fwZ8P/iNqHxa+Gf7N3ib4pvq/wCzb8NPiNeXE95a+LPBnw6OhW99Y6tot9dXN7pM9/4l1Ly7iZvtovoY4Yovo/4d/sS/BT4f+Hf2ofB8sXiXx14S/a7+JXxD+J3xd8O+OdR0y706TUfidYpp3ifw/wCHW8PaJ4bvtL8N/ZEKaal1ealr9jIxuF197iOGWLOcb4OcKMZ0a6yTN8PhIzrKrUwuYYueQ08Gq+JcZ0cZUw9Ojn9ehj6lOt9Xli6Sk3UrwpZPpFpYqpKryVqE82yetX5Kbo08RgMNi8+xGPVCjGpCtgoVsPWyLB1MLRr0J1oUK8ITaw6xmYfih/wTo/4KH/tL+L/2qdP+DH7UH7Smsal4gm8Ba4vjv9nT4+/sraT+zt8VvDvxEsfCUnjmK2+Dt98MtH1zT/F+nadYadcQXb/GXWfhX4g1zQNRs9Q8M/DzUtTnDWEsP7Zn/BRS/wD2S9X/AOCrkHx4+GNn8ENP8f3dzZfsOy/CHw3/AGPdfC2w+JcXwels7z473YtfiRb+OZNSF1ryLbpNp9zqcVveW/k6def8K+tf0x/Z7/4JWfA79nz4l/D34mRfFr9p74y3Hwb0XX9D+CPgz47/ABej8dfDz4LWviSwg0XUZPhr4VsfDHh2HQn/AOEet18PwW89zf6bHp3kzNYSarp+lalYcjJ/wRt/ZSbxpealH4r/AGhLb4L6j8QR8UNR/Y+tfi3cQfslX3jICCdtQufhUmifbZLZtZtbbXP7M/4SkafHcW8Giw20XhCCHw0nRKSlUwk4OFCpHD0YKs6Pt8Ngpw4kpY/E+3y+dT/hUli8g9rlcIzxNWnhJQjh6WM9liqmaYLKK5frSqqeIpTxrrVKSqKhXxtCWS47CewwuLhCmsrjTzeWBzFVY0KFSqlVlPDQlh6WCxvyzrvx3/b3/aO/bC/bG+E37PH7U2h/s/fC74RfBb4HfGLwXB4k+Avw/wDiL4nsbrxt8J9A8Xf8Ihbvrmn2TWNj4m1LVNUuvFmt+KJPGWp+HprPS7Pwto0VtLqEQ+5f2Dvj98f/ANsD/gnn8JfjLD4n+HPg74+eL9L1bS7rxn4r+HGr+PPAc+peB/iTq3hDVtf1f4beE/iJ8IL66u/FXh/w5dztZaF488MaZoviXVl1O0tLjRNPXwvde7+Fv2Pvhl4R+P37Q37Rml6z43fxr+0r4O8GeCPHGj3Wo+H28JaNpHgbw3D4X0eXwfp9v4ZttW06+m06BJL+TV9c161ku8va2lpBi3HR/spfszeA/wBj74EeCv2evhpq3i7XPBfgR/Ecmkan46v9G1PxRct4n8Uaz4tvxqV7oGg+GdKmEOo65dwWf2XRbMx2UdvHMbidJbmZUJUoYapSdOUXPAZc6cak3iqtLMKef8WVcWnjJKNSpBcP43hvCuolCjiauDnL2EMRSnWlNaNWUsLP2inUpYqUMROnH6vSrYP/AFW4aw3OsNH3FUqcTYLO8YotOtSpYpSVRUK7oJnnaL/0D9U/8HFp/wDKOv4c/wDg5ga1b9u34TG0huII/wDhknwIGS4uY7py/wDwuL485YSRWtmoQqVAQxMQQzGQhgq/28V/EB/wcsf8n1fCj/s0zwL/AOrh+O9fY8Af8lHS/wCwHMP/AE1QPk+Of+Sfq/8AYZgf/TtY/nmooor9zPxcKKKKAP61v+DW17JP+G5/tlvdT5/4Zl8v7NeRWmzH/DQe/f5tje+Zuyu3b5ezDZ37hs/rW87Rf+gfqn/g4tP/AJR1/I//AMGu3/N8n/ds/wD78DX9ZlfgPG3/ACU2Zf8Acp/6hYc/cuDv+Sdy/wD7mv8A1MxB00Uukf2RfEWOpCMalpQdDqtqXZzbax5bLJ/Y4VUVRKHQxOZC8bLJGI2WXN87Rf8AoH6p/wCDi0/+UdEP/IF1D/sKaP8A+kmuVl18qfTGp52i/wDQP1T/AMHFp/8AKOuY8b+KdF8G+C/F/i/+w9U1H/hFfC+v+JP7P/4SC0s/t/8AYelXep/Yvtf/AAjl19l+1fZfI+0fZrjyPM83yJtvltp1zHjfxJ/whvgvxf4v+xf2j/wivhfX/En9n/aPsf2/+w9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tsMTLkw2Jn7X2HJhsRP2/J7T2HJh68/bez19p7Hk9t7Oz9p7L2dnz2PRyij9ZzfKcN9T/tH6xm2VYf+zvrH1T+0PrGZ5bQ/s/61dfVfr/t/qP1q6+rfXfrN19XuvTdVl0gXMXmWOpM39m6OQU1W1jAQ6RYmJSraPIS6RlEkfcBI6tIscSsIkzfO0X/AKB+qf8Ag4tP/lHRrH/H3D/2C9D/APTLp9ZdbnnGp52i/wDQP1T/AMHFp/8AKOtLSpdINzL5djqSt/ZusEl9VtZAUGkXxlUKujxkO8YdI33ERuyyNHKqmJ+ZrU0f/j7m/wCwXrn/AKZdQoAPO0X/AKB+qf8Ag4tP/lHR52i/9A/VP/Bxaf8AyjrLooA1PO0X/oH6p/4OLT/5R1pX0ukC20ffY6kynTZTEF1W1Uon9r6qCsjHR3EjmQSOHVYgEZI/LLRtLJzNamof8emh/wDYLm/9PWsUAHnaL/0D9U/8HFp/8o6PO0X/AKB+qf8Ag4tP/lHWXRQB02jy6QdX0oRWOpJIdSsRG8mq2siK5uYtjPGujxNIitgsiyxlgCokQncM3ztF/wCgfqn/AIOLT/5R0aH/AMhrR/8AsKaf/wClcNZdAGp52i/9A/VP/Bxaf/KOjztF/wCgfqn/AIOLT/5R1l0UAdNLLpH9kWJNjqRjOpaqEQarah1cW2j+YzSf2OVZGUxBEESGMpIzSSCRVizfO0X/AKB+qf8Ag4tP/lHRN/yBdP8A+wprH/pJodZdAGp52i/9A/VP/Bxaf/KOtLR5dIOr6UIrHUkkOpWIjeTVbWRFc3MWxnjXR4mkRWwWRZYywBUSITuHM1qaH/yGtH/7Cmn/APpXDQB9GUUUUAFFcL8OviV4J+LHhyfxb8P9a/t/w/beKfHPgqbUP7O1bStnib4a+Ndf+HfjXTPsmtWGm3rf2L4x8L67o/2xLZtP1H7D/aGk3d/pdzZ31xL4o+IvgzwXr3w78MeJtci0vXviv4rv/BHw/wBOa01C6l8ReJ9M8FeLPiHf6bE9laXMFgtr4O8D+J9Ykv8AVZbDTf8AiWpYLeNqmoaZZXrSbdOKTcqvs/ZRW9T21FYijyLeftcPKNeny356MlUjeDuH8/8A079qqn/Tv2E5063P/L7KpTqQqc1uScJRlaUWjtaKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHy/X4jf8ABTGX/giqnxp8Fj/goq2Pjz/wq/TT4eGP2sT/AMWi/wCEs8XDwz/yQwHwb/yOQ+In/H9/xU3/AEEP+JV/YdftzX8OP/BzF/yfd8Jv+zSfAn/q4/jzX03CWD+vZzTw6xWMwd8Li5+3wNb6viF7OnSfIqnLK0J81qkbe8lFXVj5vivGfUcnniPquExdsThIexxtH29B89Soud0+aN5wteEr+623Z3Prz7R/wayf3/8Ax3/gop/8TR9o/wCDWT+//wCO/wDBRT/4mv5IaK/U/wDVl/8ARQ8Tf+HR/wDyk/Mf9Zf+pDw5/wCGz/7sf1vfaP8Ag1k/v/8Ajv8AwUU/+Jq1fXH/AAat/bbz7E/+h/arj7J8v/BRj/j281/I/wBavm/6rZ/rf3n9/wCbNfyL0Uf6sv8A6KHib/w6P/5SH+sv/Uh4c/8ADZ/92P8AT9/Zd/Ya/Za/Yv8A+E5/4Zp+F3/Ctv8AhZP/AAjP/Ca/8Vt8RfGP9tf8Id/wkH/COf8AI/eLvFP9nf2d/wAJTr3/ACCfsH2z7f8A6f8Aavstn9n+s6KK/C69eviasq+JrVcRWnbnq1qkqtSfLFRjzTm3KXLFKKu3aKSWiR+20aFHD040cPSp0KML8lKjCNOnHmk5S5YQSirybk7LVtt6s1If+QLqH/YU0f8A9JNcrLrUh/5Auof9hTR//STXKy6yNQrmPG/iT/hDfBfi/wAX/Yv7R/4RXwvr/iT+z/tH2P7f/YelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W3T1zHjfxJ/wAIb4L8X+L/ALF/aP8AwivhfX/En9n/AGj7H9v/ALD0q71P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y2wxMuTDYmftfYcmGxE/b8ntPYcmHrz9t7PX2nseT23s7P2nsvZ2fPY9HKKP1nN8pw31P+0frGbZVh/wCzvrH1T+0PrGZ5bQ/s/wCtXX1X6/7f6j9auvq3136zdfV7ru9Y/wCPuH/sF6H/AOmXT6y61NY/4+4f+wXof/pl0+sutzzgrU0f/j7m/wCwXrn/AKZdQrLrU0f/AI+5v+wXrn/pl1CgDLooooAK1NQ/49ND/wCwXN/6etYrLrU1D/j00P8A7Bc3/p61igDLooooA1ND/wCQ1o//AGFNP/8ASuGsutTQ/wDkNaP/ANhTT/8A0rhrLoAKKKKANSb/AJAun/8AYU1j/wBJNDrLrUm/5Aun/wDYU1j/ANJNDrLoAK1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAPoyiiigD+X7w3/wAE8v2sxc/tH6f8MP2epf2Yfjt4wg/4KgTal+2bD8VfhFYTftBeHP2lPi74u8TfssfDuLWvAHib4hfFqyl8D2WreH/E8b/FP4ZWHhb4NP4eD+CY/EOs+K/E2iQXv2f/APgmz4x+Hf8Awzr4wsv2KfiEmm/Df9tiT4kaH8M/j1L/AMEw9O8RfBvT9b/ZO8afDm6+OHhn4d/sQ+Dfgb+zt8L/AAnpnxvn+Geu+JV+Evi34hfH/wAZN8PtC+K6+GrXxnpemeH7Gx/w8O/a3/6K+P8Awgvhh/8AMZR/w8O/a3/6K+P/AAgvhh/8xlf0ZR+ivx5Qw9PD0s74Uh7LB4bB060MwzSFelHC4KeX06lCUcj5MLKNCSr0aOFpUcNg819tnWDpUczx2PqYr+bq/wBKfgHEYiriauR8VydbGY/GVKUssyiVCc8wTdaFSk87SrQ5pOnOVadSrisvjRybGTrZThcHQwvtP/BHb9kX9o39mr4z/Hrxh8UvgF4w+BHhD4x/AH9nOXxRpfiF/wBjSy0rVf2m/B/i3443fxiu/DOn/ss+KPGvjXxT4Xey8b+G5PCfxc/ah+Inxo/aY+ImhNFL8aPjF4k8UaTDZ2H9AVeZfBTxFq/i/wCDXwk8WeILz+0Ne8UfDLwF4i1vUPs9rafbtX1vwrpWpalefZbGG2srb7TeXM032ezt7e1h3+XbwxRKka+m1+B5pCrQxlXL60cPGeUTxGT2wsZRw6jluY5vQjChGTvHD0HKrhsFTSSo5dhsuw6X+z80/wChMBXpYzDUsyo+25M3pYXNUq7g63+35fl1dSrOEYqWJqU6lGrjarvPEY+eNxNSUp4iTRRRRXnnaFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV+Sn7cX/AAUw+If7H/inxTbaR+yHrvj/AOGXgDS9AuPF/wAZPiF8aPBf7Ong7WNe8RaTf+IbXwh8Ek+IOh6hdftAeJrDQdMvptZ0P4bNqOuaZq1tJos2kmby55P1rr+er9rL/gk9+0n8cf2h/wBqz4geG9e/ZC8YeCv2lfBmlaPofjL9oXwb498a/Gz4D3Phnwdd6fpXhn4MQWtpeeCvBmm6z4ggsLTUvH9tLc+JdB0XUbnWdI8OXutaGlj4k5a8sRGrQ9hHmjGnjK81KMZUqtTD0cPPDYSrrGUVi5TxUYS56NJ1KEadWtGVTDU63TQjQdOt7ZpSlPCUYWk41KcK2IqRxGKp6SjN4enGjzwcZ1FCvOrSpy9jWcE+Lf7a/wAc7v8A4KIfs1eJ/wBmHwJ8Xf2gvCHxq/4J76N8VfBf7NNt8U7L4UeC9W1Lxh4y8Q61D438fy+KNUufh74V1Xw/4Pt2s5fEV3petajcavFonhTTp5E1O2vLfhv2vP8AgpJ42+Lf7KHwk+JPgLw/8aP2ffjD8Lf+Ci/w5+Bvx/8Agr4K8Z3z+Nv7T0DT/Gt/r/wzsfEPhu48JW3xA0PxbDbWFpDp2o22kaZquuW0mn31gbaxtdTuvbrz9gP9vf4f/Fz9lT46fs9/EH9lfQPGn7Pn7DHgP9l/xN4X+IknxP1jwF488S6BqGoR69ZmHw54P0bX9P8AAj2t9Z+JtC8QWWpad4nTxJ4f07SL7w5/Yl9qF2eQ8X/8Em/2ovEX7OUWjW3xx+FVv+1b8QP28dC/bW+K/wASEs/FNt8PvCWp2Gj69p0ej/DXSZvD+rXvieTwvfaha6toNp4k0jwlZayslxpGq3WnWljaTXPfy0KVbD06c6ksDgOIKuIp1dKmNhRh4oPG4GWGU48mPwNThP2+LxyzBVFGFPA4dUUqtTLqnHF1KlOE6vLHE4rI6OGrxSccPKq/D/P8Bjvrfs054PG0s9lk1PAyy6HNWxOKxleMpzo0MThPWPFf/BTj9oe00j9pr4NeNf2OfEP7O/7WfgP9m3xB8evhB4TvPjP8NfiToPi3wVYzT6PrfjWDxra+HU8G2urfD8favFa+ELqz8R2/iWPw3rHh+e6stT+z2V57d/wTu/aF/aO8cf8ABP8A8AfFv4r/AAI+JHj34gW2k6HF4XsPDPxP+Eni34iftC+GdRGgEfFa1vfiD41+FngnwTLcXWs67c33gzxv440nVdO0jwndHTZNQvdQ0LQ7vzbwT+wl+1j8XfjJ8YPj/wDts/Ez4Djxz4k/Za8bfsp/C3wx+zjpXxBPgnwx4d8eC9n1jx3rcvxCax1mbxF9pv72OTRF/tbT7qK986LVNPGnWFkn1N/wTs+C37Sf7Of7Nvhb4G/tI6r8FNbvvhfHbeE/hxqvwXn8b3Vvd/D7T7C1Gnv41uPGukaC83i2PUX1GGWTQ9JstKbS49OLJJf/AGyaScKlGONddUvrFfKsqlDlnUnh4VMPxBxDGUKEpa08yq5PPJMXmOHS9jKrVqqNS2G+qYUxDlJ4ZUlNU6WaY32lo01V5cRkWUOcWoSlGrlVHN6WaYTAYlylVVCFGaUvrEcZivYf7PtP+g5pf/fnWv8A5T1/DJ/wc1Qxwft4/CVIrq3vFP7I3gNjLbrdKik/GT49gxkXdtaybwAGJWMphlw5YMq/3D1/Dj/wcxf8n3fCb/s0nwJ/6uP4819fwH/yUVL/ALAsf/6aonyXHP8AyT9X/sMwP/p2sfzu0UUV+3H4uFFFFAH+uJ/Z9p/0HNL/AO/Otf8Ayno/s+0/6Dml/wDfnWv/AJT1l0V/L5/TB00VjajSL5P7Y00q2paUxlEWr7EK22sBY2B0oSF5A7MhSNkAik8x42MSyZv9n2n/AEHNL/7861/8p6If+QLqH/YU0f8A9JNcrLoA1P7PtP8AoOaX/wB+da/+U9cr461a18F+CPGXjFbzTdWbwl4V8Q+Jl0qOTV7J9TOg6ReaoNPS8l0OaO0e9Nr9mW5khlSAyCV43VCp1q5jxv4k/wCEN8F+L/F/2L+0f+EV8L6/4k/s/wC0fY/t/wDYelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2GJlyYbEz9r7Dkw2In7fk9p7Dkw9eftvZ6+09jye29nZ+09l7Oz57Ho5RR+s5vlOG+p/wBo/WM2yrD/ANnfWPqn9ofWMzy2h/Z/1q6+q/X/AG/1H61dfVvrv1m6+r3Xpuq2Nq1zEW1jTYyNN0ddrxauSQmkWKLIPL0qRdkqqJYwWDhHUSpHIHjXN/s+0/6Dml/9+da/+U9Gsf8AH3D/ANgvQ/8A0y6fWXW55xqf2faf9BzS/wDvzrX/AMp60tKsbVbmUrrGmyE6brC7Ui1cEB9IvkaQ+ZpUa7IlYyyAMXKIwiSSQpG3M1qaP/x9zf8AYL1z/wBMuoUAH9n2n/Qc0v8A7861/wDKej+z7T/oOaX/AN+da/8AlPWXRQBqf2faf9BzS/8AvzrX/wAp60r6xtWttHB1jTUCabKqs0WrkSg6vqr+ZHs0pmCBmaIiVY33xuQhjMcknM1qah/x6aH/ANgub/09axQAf2faf9BzS/8AvzrX/wAp6P7PtP8AoOaX/wB+da/+U9ZdFAHTaPY2qavpTrrGmysupWLLFHFq4eQrcxERoZdKjjDuRtUySRoCRvdVywzf7PtP+g5pf/fnWv8A5T0aH/yGtH/7Cmn/APpXDWXQBqf2faf9BzS/+/Otf/Kej+z7T/oOaX/351r/AOU9ZdFAHTS2NqdIsU/tjTQq6lqrCUxavsctbaOGjUDSjIHjCKzl41QiWPy3kYSrHm/2faf9BzS/+/Otf/Keib/kC6f/ANhTWP8A0k0OsugDU/s+0/6Dml/9+da/+U9aWj2Nqmr6U66xpsrLqViyxRxauHkK3MREaGXSo4w7kbVMkkaAkb3VcsOZrU0P/kNaP/2FNP8A/SuGgD6MooooA/h5/txf736H/Gj+3F/vfof8a4/xp4q8BX2qW83w78O+MPC2iLp8Ud1p/jTxvo/j3VJtUFxdNPeW+saH4A+G9pbafJaPYwRabJod3cQ3FvdXT6tPFeQ2djn+F/Evha012xuPGmleINf8NR/af7S0jwv4l0/whrt3vs7hLP7D4i1bwr430/T/ACNQa1ubn7R4X1P7XZw3FjF9imuY9RtP9Wo5tKWH9u6GJjL2cqn1WUaCxV0pP2XIsRKj7aXKlGP1vkblG9aN24f5RSyinHEewVfDyj7SNP61F1XhbNxXted4WNb2MeZuUvqnOlGVqMrJT/tV/Zjfzf2bP2epf+enwO+Ez/8AffgLQG/rXuNfnz4x8TNof/BNTQfE/gzUvE/gPQof2afhRd3fiC08UXEXjT4ffCy88M+EIvHfiiz8beHdC0q6g8V+BvhlceIdetfFmh+H9Eng1jSI9Z02x0N0hWz+afA/xo8OxfsO/tBxfDT9ofxD41+Gdp4u+L0vwD+Md38dPE/xJ+JWt/skeFfEvw+0r4w/Fz4ffHPXtb8YfE/4paH8HH8aeO9O8O/GpvEHi/UNNXTPBuPGt439h6zc/wCWmeV/aZ9xVJRVOWFzXMMTJV6tOlFfXOIMZS5cTVvOGDhR+vKrOtVlUpTpYDO6lOXs8oxFU/1KySn7HI+Fqd3VWJybBUouhCdWVsv4dwVaToUuWFTFVK0cDKFKhTjTqqeOyWM4xlm+Hgv2cor+V/4k/HDxfoVh8M9c/Z3/AGnl+Kfg2L4p/Fzwd+wgvxL/AG7f2rNA1f41zy/ED4a2fhjX/hpqnhXR/iToX/BVpNN8Z6j4x8AD4YfH74k6lZ+G/hzoFt4yh8V6p4b1rWPFMH9UFcVNKrhVilzwTxMsM6FanKliKb+p4bHQ9rTd/Z1VRxMIYrDturg8RKjh66jVrKK7vapYj6vaMmsMsT7WlUhVoTX1/HZfJUqkH+8pSqYGdXDYhRjTxWHdStR5qdFzkUUUVJqFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHy/X4hf8FNP+CLX/AA8S+NXgv48f8NKf8Kf/AOEe+F2m/CP/AIRX/hTn/CwPtn/CM+LPF/jL/hIP7c/4Wp4J+z/bf+Fif2d/ZP8AY8/2b+x/tn9pXH9ofZbL9va/hT/4Odv+T9vhH/2aH4C/9XN8fa+j4Vp4urnEIYHGfUMR9WxTWI+r08TaChT54eyqtQftE0ua948t1uz57iiphKWUznjcH9eofWcKnh/b1MNebnU5J+1pJzXI03y7SvZ7I+1P+IWv/q+j/wA1k/8Ayg6P+IWv/q+j/wA1k/8Ayg6/j3or9N+o8Sf9FP8A+YfBf/JH5t9d4d/6Jr/zL4z/AORP7CP+IWv/AKvo/wDNZP8A8oOrV9/waxfYr28s/wDhuvzPsl1cW3mf8MxbPM8iV4t+z/hoV9m/Zu27m25xuOMnnf8Ag1V/5vv/AO7X/wD34iv7BNc/5DWsf9hTUP8A0rmr4nN+I+JMqzDEYD+1/b+w9l+9+o4Knze0o06vweyny8vPy/E72vpey+zynh7h3NMBQx39k+w9v7X919dxlTl9nWnS+P2sL35Ob4Va9tbXeXRRRXwp9uakP/IF1D/sKaP/AOkmuVl1qQ/8gXUP+wpo/wD6Sa5WXQAVzHjfxJ/whvgvxf4v+xf2j/wivhfX/En9n/aPsf2/+w9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tunrmPG/iT/hDfBfi/xf8AYv7R/wCEV8L6/wCJP7P+0fY/t/8AYelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2GJlyYbEz9r7Dkw2In7fk9p7Dkw9eftvZ6+09jye29nZ+09l7Oz57Ho5RR+s5vlOG+p/2j9YzbKsP/AGd9Y+qf2h9YzPLaH9n/AFq6+q/X/b/UfrV19W+u/Wbr6vdd3rH/AB9w/wDYL0P/ANMun1l1qax/x9w/9gvQ/wD0y6fWXW55wVqaP/x9zf8AYL1z/wBMuoVl1qaP/wAfc3/YL1z/ANMuoUAZdFFFABWpqH/Hpof/AGC5v/T1rFZdamof8emh/wDYLm/9PWsUAZdFFFAGpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDWXQAUUUUAak3/ACBdP/7Cmsf+kmh1l1qTf8gXT/8AsKax/wCkmh1l0AFamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDQB9GUUUUAf53P9tD/np/6D/jR/bQ/wCen/oP+NeS/wBtN/z0X9P8aP7ab/nov6f41/pZ9fXf8z/Nj+zv7r+7/gn+gv8Asgv5v7Jn7L0nXzP2dvgo+fXf8NfDLf1r6Jr5r/Yyfzf2Pv2UZOvmfs1/At8+u/4X+Fm/rX0pX+c2dO+dZy++c5u/vzbNX+p/orkq5clyaP8ALk+UL7spytfoFFFFeYekFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHzB+0b+2d+zN+yTN4Mg/aJ+Ken/AAyb4g2/i+58IS6noHi/VrXWE8CabY6r4liF74b8P61Z2N3bWup6fHp1jqc9le+INQvbXSPD1vqurTx2Tc/8K/2+f2PvjV8IfH/x4+HHx28Jax8KvhX9oPxF8T6nbeIPCMvg5YbYXcUmu+HfGWjaB4psodTj3R6BM+iGLxJeRT6foD6lfQTW0f5s/wDBWbxRfeCf2y/+CU3jHTvhVq/xsu/C3xI+PXiBPhp4cTTJ/FGvxaP4d+HGoXVz4RstYurLT9V8YeHbW3n8T+EtEmvLOTXPEejaZpFnd2t7e29xH8p+N/Av7WPxK8Of8FPP2xfhJ+x34s8F2/7Qb/s9+FPh98Bvjx8DvDXin4oeJ9M+GV5pf/Cxfijqn7O3jKDxF4c8QeJ7J7WLVvC+jano3iBdb1GefVNJTV9T0kXGpc9GrOpg8TXkrONbiDDxrQh+6wU8szDhrBZdLEU6k4LGLMJ53iqc40a1NYWWAeKxDpYOljpw6KlKEMRgqd3y1aOT4ipByTqYqGOnxJ/aFLDSgpfVamBw2S4fGU54mEoYlYmWGpOVerhEfuD+z3/wUP8A2Mf2pofHs/wP+O/hzxTH8MNBHirx5/bOjeMPh5J4d8Lqtw1z4muofiV4c8IS3Hh3TRbONZ1yxS60vRGltE1e6snv7FbjN/Z1/wCCkn7E37V/ju9+GXwD+OuleOPHdho95r7+HLnwl8Q/Bl3eaVp00MN/c6PL498I+F7PXns/PjnubXRLnULyCxEuoyW62EE1zH+IH7N/wL+NPj39q39pP4heLfgT+3j8RfCPxw/4J8/FHwRoMn7bP9jfC3xD448W63410608R/C638Q+E/Des+C/2ctI1a+0/Wh8KvAl/YRzeGtEZPFtppP/AAiur6JOcf8A4J0/C39rHw9+178HItE+Fn7X8XwY8IeA/Fmh+M9B/b8+CvhqS3+A/hex+H7eGtG+Hv7PP7UmtRt4m13Qta8XXi2Euj/Cr4b/AAX0i+8LW+mXeu/D7xNpGn315pPZGF8RCk1bnyTEYxw55SjTzDDVOKqM41K6pqosNKrkuVSgoYWpOVHNI3p062NyenU4ZznHDVqsbSnTzLCUYtx5FLBYjA5HipKNJynfExqZhmWHvKtBe0y9qLnLDZnFfuN8P/8Agp3+wj8U/jan7O3gL9ojw14h+Lk+v634XsdAi8PeO7HRtX17w+12l/pug+PNU8KWPw+8QSytY3K6PJonim/g8RMsY8Py6mbi3Esnj/8A4Kb/ALCfwt+No/Z28eftE+FtB+La65pHhu88PtofjbUdI0jXtblhgstK8Q+OtJ8MX/gDw3dxS3EKatHr/ijTf7BZ/wDienTgrlf55vgH8CP2svh/+1T8BvB3wi+A37ZPgTwz4E+PkMviX4J/tO/Dbwj8f/2Pvg94Xt/HOu+JPiB8RPgH+1R4ktvDOieG9UvdFEEnhi/+Hnwi8L+P9TutQ1W1sfi54t1DUYrHXOV/bF+Fn7Znxj039rHwD4h/Z0/bVsfEVj+0v4g+Ivh/wF+zp8EfAHgX9j3xn8MNU8a+DbWTx74u1fwXoEXjn9q3446rHDoup6ZeXs3ivxF4fjt7zxNe3VrYeH/F1pps4VQrTyH2krU8bJvMZNwpNUFmPDGAnXwzvVp01RhnmOxknzThKhltSpJUqODzQ6a0OWtnFKDaWHqwpZdPldVqU6Wf1I/XKanRc5VXleAp04RnBe2zBUo1pxxGWVz+m745/wDBQD9jn9mr4j+GvhJ8cvjz4S+HvxB8V2cOo6boOqWviG9Sy065mMNpqHinWdF0XU9B8EWN66yNY3fjTVNAt72GKe4tJJoIJpE7bwb+15+zR45+ANn+1PpXxl8GaN+zxetcIvxb+IN7P8KfCFo1t4uk8BEave/E+28IS6F9o8ZIvhywOtQWA1PVLiyg043X2+yNx+O/jSw+KP7L/wC3R+2d8RPEP7Inxd/aN+Hn7ZnwM+H2hfDbx94M8J6VrPhnwUnhX4e2vhbxR4A+OWva9d6JpXwq8A6hcxRXfinVPEM8siaPoOlXlto2uul7BpX1d/wQ4jkj/wCCYv7OXmwvAZJvi1NHG6SIDDN8afiFJE8fm5donjZWicswdCGDsDuLwkfbYTFVar/fYfC4CvNQ/dxoYnF59xFleIy+tRqOVaVXAYfKMFKWJi1QxFXHudGU6SoqXNWquMsC4R5I4vE+xUJN1XOguFcnzxYulVjCnBQq47MsVhFSqQjWo08vca1KlWqVI0/tz+w9a/6A+qf+C+7/APjNfwjf8HP1rdWf7fPwiiu7a4tZG/ZA8AyLHcQyQOUPxn+P6hwkqqxQsrKGAwSrAHIOP7pa/hT/AODnb/k/b4R/9mh+Av8A1c3x9r6rgn/kfU/+wPG/+m6J81xn/wAiKp/2F4L/ANOVT+cuiiiv2M/Ij+vr/g1Msb29/wCG8/sdndXfl/8ADLvmfZreWfy9/wDw0Ts3+Uj7N+xtu7G7a2M4OP7DNY0fV5dX1WWLStSkjk1K+kjkjsbp0kR7mVkdHWIqyMpDKykhgQQSDX8dP/Bqr/zff/3a/wD+/EV/YJrn/Ia1j/sKah/6VzV+J8Xf8lDmH/cr/wCodA/ZuFP+RBgP+5n/ANS64f2HrX/QH1T/AMF93/8AGaP7D1r/AKA+qf8Agvu//jNZdFfNn0R00Wj6uNIvojpWpCR9S0qRIzY3QdkjttYWR1TytzJG0sSuwBCmSMMQXXOb/Yetf9AfVP8AwX3f/wAZoh/5Auof9hTR/wD0k1ysugDU/sPWv+gPqn/gvu//AIzXK+OrzV/BPgjxl4zl8Palex+EfCviHxPJZSRXVil2mgaReaq9q981ncrZpcLaGJrpre4FuHMxhlCeW2tXMeN/En/CG+C/F/i/7F/aP/CK+F9f8Sf2f9o+x/b/AOw9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tsMTLkw2Jn7X2HJhsRP2/J7T2HJh68/bez19p7Hk9t7Oz9p7L2dnz2PRyij9ZzfKcN9T/ALR+sZtlWH/s76x9U/tD6xmeW0P7P+tXX1X6/wC3+o/Wrr6t9d+s3X1e69N1XR9XkuYmj0rUpFGm6PGWSxumAeLSLGKVCViIDxyI8ci9UdWRgGUgZv8AYetf9AfVP/Bfd/8AxmjWP+PuH/sF6H/6ZdPrLrc841P7D1r/AKA+qf8Agvu//jNaWlaPq8dzK0mlalGp03WIwz2N0oLy6RfRRIC0QBeSR0jjXq7sqKCzAHma1NH/AOPub/sF65/6ZdQoAP7D1r/oD6p/4L7v/wCM0f2HrX/QH1T/AMF93/8AGay6KANT+w9a/wCgPqn/AIL7v/4zWlfaPq722jqmlakzRabLHKq2N0xjc6vqsoSQCIlHMckcgVsEpIj42spPM1qah/x6aH/2C5v/AE9axQAf2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zWXRQB02j6Pq8Wr6VLLpWpRxx6lYySSSWN0iRolzEzu7tEFVFUFmZiAoBJIArN/sPWv+gPqn/gvu/8A4zRof/Ia0f8A7Cmn/wDpXDWXQBqf2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zWXRQB00uj6udIsYhpWpGRNS1WR4xY3RdUkttHWN2TytypI0UqoxADGOQKSUbGb/Yetf9AfVP8AwX3f/wAZom/5Aun/APYU1j/0k0OsugDU/sPWv+gPqn/gvu//AIzWlo+j6vFq+lSy6VqUccepWMkkkljdIkaJcxM7u7RBVRVBZmYgKASSAK5mtTQ/+Q1o/wD2FNP/APSuGgD6MooooA/zQfiF8SfDnjTWrXVPDfwy8C/CSxt9LhsJfDfw91L4m6lot7dxXd7cSa3dT/Fb4jfE3xEmqXMN1BYTRWWvWmiraabZPb6Rb30mo3t/l+DfHWj+F/Emm67rfg3wz8RtLsftn2rwb4yvPGlj4b1n7TYXVnD/AGldfD3xf4E8Xxf2fcXEWq2f9keK9K339jax3/27S3vdNvPn3+2ff/P/AH1R/bPv/n/vqv7zWIpRo/V1KfsuR07OtXc+R3TXt5V5Ynm952qfWParRxqRcYuP8KvC1ZVvbvk9rzqpdUcOoc6s0/YRoRw/L7qvT+r+zeqlTkpSUv8AQwntLz4g/wDBKz4ex+GfA8k+neJf2S/ghqGrfC3wHp/irxNPqnw2ufBHgfU/iF8MPBWkX2v6x428R3GtfDceJPBnhnS7zxFr3inWpb2xsrm/13Vrp3vPB/A/hSwsv2Hf2g/ht8L/AIG/FLwJ8G/HPi74veMvgj8AF/Z9+Kfw6vbT9ljSvEvw+g+J3w20P4P6l4X8Jav8I774mxal8UJ/hX8CPEeneBvHHiHSPFck3hH4fnTtP1bS9I+8v2En8z9iD9jaT/np+yp+zy//AH38I/CDf1r6qr+Fc0oxjmvEVuSUcbjMRQlCtTjWpcuEzmriaX1inUlJY2m6mBoR9jiXKMaWJzinGTecYmov7ey2TnlvD8pOUZYPL6U4yoz9jU5sbk1LDVJ0alOMXhK1OONrThWw8Yy9phcnlaMcowsT+VrxB+zCniHxd8PvFXhD4NfHz4c/Bvw78UNT8Vf8E2fgppv7FOvjwh4B8W23xb0/VtX074gaH4n/AGf/ABR8UP8AgnR8OvFer20HivSPFNjcfsfeKovBsktna/FLwTpFhP4Ru/6paKK56b9lhVhIupOCxU8SqlarKrWlKWDweDlKrUleVbEVo4OnVxmKnJzxVanhpOnQWHaxG7pJ4l4p8kZyw0cM6dKnGlQhGOMxWMjGhSh7lDD0pYqdPD4WnFQoRqYqXPVnipOiUUUUjUKKKKACiiigAooooAKKKKACiiigAooooA8Z+IP7Pnwg+KfxF+D/AMWfHnhH+3fiB8BNU8Raz8Jtf/t/xPpf/CKal4ssbHTfEFz/AGVo2tadouu/2hZabZQ+T4l03Wbe18nzLKK2mklkk9moooj7sFTj7tNVa1ZQjpBVsRKnLEVVFae0ryo0pVp25qjpU3NtwjYfvS55azVOnRUnrJUqLqulSu9fZ0niK7pw+GDrVXFL2k7lFFFABRRRQB8HftC/8Ex/2F/2qPiFL8Vvjp8AtJ8YfEK60rT9G1DxPp3jD4keBb3V7LSUeDTX12H4e+MvCllr2pWVm0WmwazrFrfawmkWemaP9v8A7L0rTbS0+w/APgHwZ8LfBnhr4d/Dvw1pPg/wR4P0m10Pwz4Z0O1Sz0vSNLs02Q21tCmSzMS81zczPLdXl1LPeXk893PNNJ11FFP91SdCl+7oSmqjo0/cpOonVkpunG0HJSr1pRdvddaq4qLqSbJ/vaka1T95VhT9lCrP36kaVqcfZxnK8lDlpUo8qdnGlTi2404Rj8v1/KH/AMF2v+CZf7b37ZH7WXw2+K/7N/wT/wCFjeANH/Z38L/DzUtf/wCFkfCPwh9m8YaJ8Sviv4k1TSP7K8eePfC+tTfZdF8Y+HL3+0INOl0ub+0fs1vey3dnfwWv9XlfyYf8F5v+Cnn7cn7GX7W/w1+E37Nfxv8A+Fb/AA/1n9nPwt8RNS0D/hWvwh8YfafGOufEz4teGtU1j+1fHvgDxTrcP2rRPBvhuy/s+31KLS4P7N+029jDd3l/PdfQ8MPHLNoPLvqv1n6tirfXPa+w9nyU/aX9j7/Pbl5LaXvzaWPB4kjgp5XNY/6z9W+sYZv6p7L23Op1PZ29r7nLfm5+trW6n4zf8OHf+Crf/Rq3/mcf2b//AJ8FH/Dh3/gq3/0at/5nH9m//wCfBWD/AMP7/wDgrL/0dd/5gv8AZr/+c7X9sv8AwSM+PnxZ/af/AOCen7Pvxy+OXiv/AITj4peOP+Fr/wDCUeKP7C8NeGv7U/4Rr43/ABK8IaJ/xJPCGjeH/Dtl9i8O+H9I07/iXaRafafsn2u78++nubmb7XNc54lyfDwxOJhkk6c60aCVCONlNTlCc02p1Ka5bU2m027tabtfHZZk3Dua154fD1M4hOFKVZutLBxjyxnCDScKc3zXmrKyVk9e/wCdn/BAD9g79q79iX/hrT/hp34Vf8Ky/wCFm/8ACh/+EI/4rn4b+M/7b/4Qz/hc3/CS/wDJPvGHiv8As3+zf+Er0D/kL/YPtn2//QPtX2W9+zf0ka5/yGtY/wCwpqH/AKVzVl1qa5/yGtY/7Cmof+lc1fm+Y4+tmeMrY6vGnCrX9nzxpKUaa9nThSjyqcpyV4wTd5PW9rLRfoWX4GjluDo4KhKpOlR5+WVVxlUftKk6suZwjCLtKbStFaWvd6mXRRRXCdpqQ/8AIF1D/sKaP/6Sa5WXWpD/AMgXUP8AsKaP/wCkmuVl0AFcx438Sf8ACG+C/F/i/wCxf2j/AMIr4X1/xJ/Z/wBo+x/b/wCw9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tunrmPG/iT/hDfBfi/xf9i/tH/hFfC+v+JP7P+0fY/t/9h6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bYYmXJhsTP2vsOTDYift+T2nsOTD15+29nr7T2PJ7b2dn7T2Xs7PnsejlFH6zm+U4b6n/aP1jNsqw/9nfWPqn9ofWMzy2h/Z/1q6+q/X/b/UfrV19W+u/Wbr6vdd3rH/H3D/2C9D/9Mun1l1qax/x9w/8AYL0P/wBMun1l1uecFamj/wDH3N/2C9c/9MuoVl1qaP8A8fc3/YL1z/0y6hQBl0UUUAFamof8emh/9gub/wBPWsVl1qah/wAemh/9gub/ANPWsUAZdFFFAGpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNZdABRRRQBqTf8gXT/wDsKax/6SaHWXWpN/yBdP8A+wprH/pJodZdABWpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw0AfRlFFFAH+Sr/arf3/5Uf2q39/8AlVP4n/FLwv4+1+z1jwp8H/hv8EdOttHt9Mm8KfDDVPi5q2gahew3uoXUniG8ufjP8Vfi74oTWLuC8ttNuILDxJY6AtlpOnyWuh22oyarf6nj+AvH+ieD/FmleIvEPgDwf8VNH077d9s8BePb7x7p3hPXvtem3ljb/wBq3nww8c/DjxzD/Zd1dQazY/2H4z0bzNS06zi1P+0dHfUNKvv7EWZSdPndKSqcrl7F1KTlzK9oe0U/Y3dklLm5FdXejP5JeXQVTkVSLhzKPtlCqo8rtefs3D21ld+7y87s7LVH+oz+wI/mfsJfsVP13/slfs4vn/e+Dvg0/wBa+ta/L7w9b3XxF/4JD/Bz/hF/AO3S/FP7F37POp6p8Jfh7YeL/E5vfhpd/Dn4f6r8QPhX4F0rVfEmvePfEj6t8Nv+Ej8E+FtM1LxT4j8Xa293YWd7qniHWLqWW+8k8D+FLCy/Yd/aD+G3wv8Agb8UvAnwb8c+Lvi94y+CPwAX9n34p/Dq9tP2WNK8S/D6D4nfDbQ/g/qXhfwlq/wjvvibFqXxQn+FfwI8R6d4G8ceIdI8VyTeEfh+dO0/VtL0j+QcwrSnmOfNqFJ4fE1a8ZVZSVK+JzWVOoq86dOThTo08XXxHPh1iJSpZPnEpRpKjhnU/q3BQVPA5HCPNWWIwahJUop1EsFlMa0I0YTajKtiJYSjQhCvKjFVc2ydKU3WxMaX7OUV/Ntrfwf8CHwb8Gbr4b/sifFPwxZ+H/2utW+I/wCwz4a1P9i743C2+Gnwo074kfDvxFr/AMLvA2i21noj/wDBMPX/AIrePfCt/rGm/Gv47/CrwZ4b8J/BLX/E/hiysNJXxHLY+Ff6SazjHnw6r2nTbrujKhVUY1aTeBwGM9nVSa/2jDvGTwmMjCLo0sVSjTp1J8/NU0VT96qXuTToTqqpTc5U5qnmOOwCqU5Sgk6GKjhI4zByclWnhZznWp02oKJRRRUmoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfM3xh/ar+HnwS+NH7N3wL8VaN4z1Dxb+1Dr3jTw94A1Hw9p2h3fhzR73wLpWlaxq8vjC71LxFpOp6fa3Ftq9tHpz6LpHiCWadJ1uYLONY5Zfpmv58v+CzVl8GtU/ah/4JgaR+0L4rufBfwV1vx58etB+I2vQeItU8IW6+HNd0L4aaRcaRrnirRr3TdR8O+FPEst7D4a8Y6zDqWmxaf4V1bWLm71LTrNLi+t8+aX13KKC9nyYzNsLg6yq1PYxlRrYfNak4+3tJ0W54SharGM5K3JGLda8dIwjKhmNR+0vhsqzHGU3Sh7Waq4WjhqsJKjeKrcqlWbpSlGM7LnlGFOTf9BtFfyF6b8GvAninwr/wVi+Ef7Fvii+8X/sxfs6QfAf9pD9nN/Dvi+++IPhLwh8efAui3Pjnxbb/AAw8W32u6vfay+tWXh7xHoN7qenatfXF4kWnwy399LaaVc3uH45/aj1/RPGfxs/4KZeGr/xVP4e/a98H/Hr9j34b2VrJnSrXxD4P+CvwgPwl1HStNjmg1O2m1P4oeH/ilFHIJ3kj/s+1msrSK+1G+N8nUcqanQo1p1amAoY2hhqlOVPEzlmWAxsciw06SU5xqZxxJl2IyChKlCrGMK+W4+MKs8fSwKI07VHCrUoxhDFzwtWvTqRqUILCYvLaua1vaSdOChlnDmZxzvERqTjKNbBZhls/ZKhDGy/sQor+aTx/4Kt/+CPGs/sv/H/RNPMHg3XP2NPGf7NPxls1t/K0/UPjx4K8F658ZvhnrOoS2zTQTa98QPHtnr/hC1LsRHbRCCCeVZW2/qH+xH+x/Y/Dj9hH4ffA/wCIzeNND8WePNOh+J3xn1LwH8R/iD8JvHcnxP8AGutWXj3xCtv8RPhN4r8HeOdCudMvo9O8LXzeG/E2mw6toekS6FqH23RNR1Gxu+10Yc2PdOrGrSy/E18vqVoWcamZUc3x+E+r0mpOM6NTJ8Hh8/hiYyalhMzwEFTSrKocka0nDASlSlCWY4eljqMJXUo5fUyzDYmVeopRjKFajmmIeS1cPKKccTQrzcoOm6UveK/g6/4Ohv8Ak/z4Q/8AZn3gD/1dP7QNf3s/2xd/88dL/wDBHov/AMr6/gt/4Oj7mS6/4KAfCCSVbdWH7Hfw/QC3tbWzTA+NX7QTAmK0hgjZ8scyMhcgKpYqqgfR8Gf8j2n/ANgmN/8ATdI8Di3/AJE1T/sKwn/pyqfza1/pDf8ABBD/AJRNfso/910/9aU+Mdf5vNf6Sv8AwQK1K4t/+CS37J8McdgyJ/wvbBm0rS7mU7v2lvjIx3TXFnLM/LELvkbauEXCKqj6rjn/AJFOH/7GFL/1HxJ81wb/AMjOv/2A1P8A0/hz9c61Nc/5DWsf9hTUP/Suaj+2Lv8A546X/wCCPRf/AJX1paxqt1Hq+qxrFppWPUr5FMmj6RK5C3MqgvLLYvJI5A+aSR2dzlnZmJJ/Kj9LOZorU/ti7/546X/4I9F/+V9H9sXf/PHS/wDwR6L/APK+gAh/5Auof9hTR/8A0k1ysuumi1W6OkX0nlabuXUtKQAaPpAQiS21hmLRCxEbuDGuyR0Z4wZFjZVllD5v9sXf/PHS/wDwR6L/APK+gDLrmPG/iT/hDfBfi/xf9i/tH/hFfC+v+JP7P+0fY/t/9h6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bd3/bF3/zx0v8A8Eei/wDyvrmPG/ju78G+C/F/i/8As3S9R/4RXwvr/iT+z/7M0Wz+3/2HpV3qf2L7X/ZF19l+1fZfI+0fZrjyPM83yJtvlthiZcmGxM/a+w5MNiJ+35Paew5MPXn7b2evtPY8ntvZ2ftPZezs+ex6OUUfrOb5Thvqf9o/WM2yrD/2d9Y+qf2h9YzPLaH9n/Wrr6r9f9v9R+tXX1b679Zuvq910+sf8fcP/YL0P/0y6fWXXTarqt1HcxKsWmkHTdHf59H0iQ5k0ixkYBpLFmCBmIjjBCRIFiiVI0RFzf7Yu/8Anjpf/gj0X/5X1uecZdamj/8AH3N/2C9c/wDTLqFH9sXf/PHS/wDwR6L/APK+tLStVupLmVWi00AabrD/ACaPpEZzHpF9IoLR2KsULKBJGSUlQtFKrxu6MAczRWp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X0AZdamof8emh/wDYLm/9PWsUf2xd/wDPHS//AAR6L/8AK+tK+1W6W20dhFppMmmyu27R9IcAjV9VjxGr2LLEm2NSY4giFy8pUySSOwBzNFan9sXf/PHS/wDwR6L/APK+j+2Lv/njpf8A4I9F/wDlfQAaH/yGtH/7Cmn/APpXDWXXTaPqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAIzf7Yu/wDnjpf/AII9F/8AlfQBl0Vqf2xd/wDPHS//AAR6L/8AK+j+2Lv/AJ46X/4I9F/+V9ABN/yBdP8A+wprH/pJodZddNLqt0NIsZPK03c2paqhB0fSCgEdto7KViNiY0cmRt8iIryARrIzLFEEzf7Yu/8Anjpf/gj0X/5X0AZdamh/8hrR/wDsKaf/AOlcNH9sXf8Azx0v/wAEei//ACvrS0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysAQAe9UUUUAf4139sJ/eNH9sJ/eNeY/2qfQ/mf8ACj+1T6H8z/hX9L/XH/Tf/wAifzv9R/uL+vkf66v/AATnfzP+Ce/7CMg6Sfsa/swOP+BfBLwO39a+yq+K/wDgmy/mf8E6v2Bn/v8A7Ff7LD/99fAzwIf619qV/OWNd8bjX3xmMf34vFP9T9/watg8Gu2Ewi+7C4ZfoFFFFcp0hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeb+Pfg38IfircaNd/FD4V/Df4kXfhy28QWXh668e+B/DHjC40Kz8Wacuj+KrTRpvEOl6jJpdt4l0lE0vxBBYtBFrOnKtlqKXNsoiHpFFJxjK3NGMuV80eaMZcskpJSjdO0kpzSkrSSnNJpSkpNSlF3jKUXa14ycXa8Xa8XF2vCDte14Qdrwi48D4E+FPwu+F3hV/Avwy+G3gH4deCJZr+5k8HeBPB3h3wj4VkuNUULqdw/h7w/p2n6Q82oqqrfytZmS7UAXDSAAVysP7N/7O9v4S8LeAIPgL8F4PAngbxLH4z8E+Cofhb4Hj8JeD/GEVzdXkXivwt4bTQl0bw/4lju769uo9d0mytNUS5vLqdboS3EzP7RRVc0nP2jlJ1L0H7RybnfDTjVwz523O+GqxjUwz574epGNTDuhUjGpGeWKjyKMVBe2tCy5F9YhOliPctyfv6VSpSr+5+/p1J063tqc5058Z46+HHw8+KOiw+G/iZ4D8GfETw7b6nYa3BoPjrwvofi7RYdZ0qRpdL1eHS/EFjqFjHqemyu8lhfpAt3ZyMz28sbMSezoopLRNLRSlzyS0UpqEaSnJKylNUoxpKclKfs4xp8/s4xpxb1ab1cY8ib1ahzyqcibu1D2kpVORNQ9pKVTl55SnL5fr+Dr/AIOhv+T/AD4Q/wDZn3gD/wBXT+0DX94tfhF/wVJ/4Lh/8O2vjl4I+AH/AAzD/wALn/4ST4T6X8Yf+Et/4XV/wrr7F/wk/i/xn4K/4R3+wf8AhUvjr7R9h/4Vv/af9r/2zB9p/tn7H/Zlv/Z32u++g4ZrYqhmsKmDwn12usPiYqh7eGHvCUKanP2tROK5Ek+W15Xstjw+IqWGrZZOGKxX1Oi6+Hbr+xnXtKM6jhD2dNqT522ua9o2u9z/AD1K/wBIb/ggh/yia/ZR/wC66f8ArSnxjr44/YF/4OEv+G4v2tPhP+y5/wAMi/8ACr/+Fof8J3/xXP8Awvz/AITX+w/+EK+GnjL4if8AIs/8KV8Jf2n/AGn/AMIl/Y//ACMOn/Yv7Q/tD/S/sn2G5/pJr1+K82xmIpUcuxuW/UKqqU8ZF/W6eJ5qajXopWpQUVeTlvO65fhs0zyuGcrwtCrVx+EzD67TdOeEkvqtTD8s3KjVbvUm5O0VHaNnzfFdNBWprn/Ia1j/ALCmof8ApXNWXWprn/Ia1j/sKah/6VzV8QfYmXRRRQBqQ/8AIF1D/sKaP/6Sa5WXWpD/AMgXUP8AsKaP/wCkmuVl0AFcx438Sf8ACG+C/F/i/wCxf2j/AMIr4X1/xJ/Z/wBo+x/b/wCw9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tunrmPG/iT/hDfBfi/xf9i/tH/hFfC+v+JP7P+0fY/t/9h6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bYYmXJhsTP2vsOTDYift+T2nsOTD15+29nr7T2PJ7b2dn7T2Xs7PnsejlFH6zm+U4b6n/aP1jNsqw/9nfWPqn9ofWMzy2h/Z/1q6+q/X/b/UfrV19W+u/Wbr6vdd3rH/H3D/2C9D/9Mun1l1qax/x9w/8AYL0P/wBMun1l1uecFamj/wDH3N/2C9c/9MuoVl1qaP8A8fc3/YL1z/0y6hQBl0UUUAFamof8emh/9gub/wBPWsVl1qah/wAemh/9gub/ANPWsUAZdFFFAGpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNZdABRRRQBqTf8gXT/wDsKax/6SaHWXWpN/yBdP8A+wprH/pJodZdABWpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcp438eeB/hn4Y1Txv8SPGXhT4feC9EW1bWvF3jfxFpHhTwxpC317babZNqmv69eWGlaet5qN5aWFqbu7iFxe3VtaxF554o26O0vLTULS1v7C6t76xvbeC8sr20niubS7tLmJZra6tbmFnhuLe4hdJYJ4neKWJ1kjZlYE/lh/wW3/5RiftO/8AXl8MP/V0fDqvm74T/Gn9tL9nv9r/APYm+Dvxy/aB8AfF74SftZfBXx3rJ8CaN8INA+GWh/Am7+GnwxsPGFvF4Y8ZpqOs+NPGVlbfZItLl1nxxrGy90261S8uNCsL0adLYThZxrzxtObVJ4fHYfB0akmvY1JVOGc44kqQqSvz06zo5JjYUGlHCqFGTxNejOpQvWIi6FDD14qVVTw2YYqvTgm61Olg83yLKlVpQStUgp55QlVheWIlNwhhaFa1VH70V5AP2hPgG23Hxw+EB3/Ev/hTC4+Jfgw7vjD8n/Fp1xrXPxL/AHif8UIM+KPnT/iVfMM/ze+E/wDgpN+2PH+0z+zTrlv8e5Pjt8F/j3+0np3wl17wx8P/ANkrUPCf7JHh3S/E/jHWvCDeFPhf+1X4+8O+C/i98TviH4L0m3sPFlzbp4Qh8OtOLtn8U+JdJ0y8srryi2/5cf8AtZUX/wBxVa4KnLF1cuUk6VHHzwlN3/3ihVrZ/kOU1oTg0qcuTCZ9hsZRqQbpVZtQ5pUV7avGMccLSzFpqpWwEMRVi4OMsNiKVLJ+MMdGpTqRk5pSxvCdTCSjJRmqNaVeMVLkp0f6+KK/CXwv+2X+0lqPwB/4LH+Nrz4j+d4n/ZU+Mfx98K/ATU/+EP8AAUf/AAgegeCtIv7rwxYfYovC6af4o/syeGJ/tXjO08RXt7t26hcXaMynmPD/AO03+23+1N43/Y//AGZfg3+0HoP7PnjDxR+wL8N/2wPjX8fNQ+C3g34neIvGOveJodM8NzeF9D8C69baT4A03S7zW9Vt9c1GfR7bSZrWZ3g06ezs9MfRNZxoyeIpYerRp1KjxODyfHwpRUfaLC5xw/mvE0KkuaUYJ4PLMoxLxcIzlOWJq4XD4SOJlWcqWleKw0qyrTjCNDEZthZ1PecfbZRmGRZZUilGLm/rWM4iwFPCvlScYYmpiHQhRXtP3S1j4heAfD3irwn4F8QeOPB+h+N/Ho1g+BfB2seJdF0zxV40Hh2zGo+ID4T8PXt7Bq/iMaHp7LfawdHs7z+zLMi6vfIgIeuvr8QvEviz9pnwZ+19/wAEm/h5+0hd/ArxR8Wde0j9rSx+JPjLwH8PfC+vwaxN4V+GhufDniDwV4v8c/DvTvH3wx1XXdPWxufHWm/Dq48IaJrGpSahpclvd+FxY6Xb/nfon7bP/BTyw/YN0j/godqv7VvgbXPDHgb41L4I1j4GXX7P3w5tpfib4XHxMt/DE134t+IWmadp13od79rvjoMOl+BNA8OMvhezttXk8Sv4nluWfajGNapClCrTlzYqdCWKjzfVFCrxbgeEMDUScPrX77Msywca0XQlKkqs6nJCnhsREU4VYu0aUnOWGw1Snhr0/rFWvUyfP86rUoTU1hHCOD4fxUqNR1oQnzUXKcliqDp/1m1j33iLw/peo6bo+p67o+navrNvql3pGl32p2VpqOq2uhwwXGtXOm2NxPHc31vpEF1az6pNaxSx6fDcwSXbQpNGzfzpf8FIf26/2p/h58U/jVafs7/tJ3Ph+w+A/gbwTrd98G/gN+ynJ+0br2mvr/ha88U614v/AGqvip8RfDWjfDv4F+ELS9isdG0u48DeKPHGu/2JqEWq6v4Os722umXko7/9or49/wDBSr9jL412fxssfhfqXxP/AOCeng/446n4RtPhF4W8T6ZongeZ9E1b4o/BK0l8S3r30+n/ABF119YvrfxvqX2jxN4MttVTTdOhv4rCKWXk9tKVCOJilCl7fMKFWdW8nSWD4f4szyjXUKLft6OJXCmNpP2FSc6UaWI5pzxPsKMT3LaS9o6mBw2Nwyp6Kv7fH8LYWeHftFGeHrU6XFWAqf7RSpQlVrUabUKccVVX9I3gfx94F+J3hnT/ABr8NvGnhP4heDdWa9TSvFvgfxHo/izwzqb6bfXOmaimn69oN5f6VetYalZ3en3q213IbW+tbm0nEdxBLGvWV/ML+zf+1f8AtOeKf2Wv+CbX7NnwE8T/AAx+B/xY/a88X/tNy658atL+CHw6svDXw08G/Bb4ieLtc1ZPBPwX8IeFfC/wmuvE/iTS7ea3nS60Szt7yeO5uL57XW/Eb+MtF634y/t2/to/s7fBn/gov8C/Gnxi0Hx5+0R+yDpfwD8afDr9p7w78L/BHhyTxV4S+M3jjwTFead4w+GE2m+Ivh5oniPRdK8SNo1jBDpsyXumXEl5sn1HS08Q6l1Yxwwk8Snz8tGWNWHUuR1MasrnkNLNZYfk9xLA1c/w/N7f6u8RToYuWFVZ4Wft3RpzrVqdBcvtJ4mjQqNc3LhY47Mc/wAvyupiLq7WMqZBXi3h1W9hOth5V4UqWJp+x/pNor8Ivht8dv28Pg7+21+x18Lv2gf2hvA3x2+Hv7aXwn+I3iubwboHwZ8M/DOy+DPiXwf4BTx2bXwnr+lvfeKfF9lbXCWmj22qeLdVI1TTr7VZbrw5pmoQ6bdw/Fvgv9rn/gqIf2C7j/go5qf7Wvw81/wp8LviDc6VrP7P2qfAf4Y2ifFDwhp3xXs/Bt9c+KviNolpo2q+G9ekudabSLLQfB2j+H3n8N6PpWorrL+JdSupLx1YqhVrU69SFGnhZVoY7ET5nRwVXDcUz4PxFOtyRnVn7HOY04zqYaliKTwtX6zCU4Ua8VlRcsRClKhCVWpiY4GeCoR5VVx0MyyDEcSYKVBzlClD22X4TFRUcTVw8o4ijClNQjicPN/1X0V+G/g343/tl/H/AP4KC/tCeAvBf7Rsfwj/AGa/gH4X/Zk+MOpeBoPg38NfHvivxHonjr4a6F4w8RfC3S/Euq6XaatpFp4xNz4huNW8W3D+JNc0S9stGtvC1tp1pPdwP8xQ/tmf8FFL/wDZL1f/AIKuQfHj4Y2fwQ0/x/d3Nl+w7L8IfDf9j3XwtsPiXF8HpbO8+O92LX4kW/jmTUhda8i26Tafc6nFb3lv5OnXn/CvrWWvZqEsS1g4qlRrYqWIfu4Cjic7xXDuEqYt0fbO2JzbAZhRjHDxxM6OHwOIx2IjTwnsHiainVcVhv8AaZVp0KOEjS9143E1siwvEjw2HVf2KjUpZRjsHXnLEPD0ZVsTSwdKpPEOfsf6ZaK/n31347/t7/tHfthftjfCb9nj9qbQ/wBn74XfCL4LfA74xeC4PEnwF+H/AMRfE9jdeNvhPoHi7/hELd9c0+yaxsfE2papql14s1vxRJ4y1Pw9NZ6XZ+FtGitpdQiH3L+wd8fvj/8Atgf8E8/hL8ZYfE/w58HfHzxfperaXdeM/Ffw41fx54Dn1LwP8SdW8Iatr+r/AA28J/ET4QX11d+KvD/hy7nay0Lx54Y0zRfEurLqdpaXGiaevhe6unSqTo1Kk4OjOjRw2IqYerZV40cVmme5NCb9m6lK8Mz4czPC1KftXUj7OnWUZUKimZzq04yw/LL2tLFT9lSr00/ZOq8lybiCNJqoqdVSnlWe4HEKXsvZxn7WhOca0VGX0HX8GH/B0b/yf/8ACD/szz4f/wDq6v2gq/vj87Rf+gfqn/g4tP8A5R1/BH/wdKtat/wUC+D5tIbiCP8A4Y5+H4ZLi5junL/8Lr/aEywkitbNQhUqAhiYghmMhDBV+n4M/wCR7T/7BMb/AOm6R87xb/yJqn/YVhP/AE5VPjX/AIIF/wDKWj9k/wD7rr/6zV8ZK/0kq/zcv+CApgX/AIK2/smm4jllhH/C998cMyW8rf8AGNHxlC7ZpILlEw+1mzC+5QVG0sHX/Sh87Rf+gfqn/g4tP/lHXRxz/wAjbD/9i+l/6kYkw4N/5Flf/sOqf+mMOZdamuf8hrWP+wpqH/pXNR52i/8AQP1T/wAHFp/8o60tYl0gavqolsdSeQalfCR49VtY0Zxcy72SNtHlaNGbJVGlkKghTI5G4/GH1pzNFannaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdABD/yBdQ/7Cmj/wDpJrlZddNFLpH9kXxFjqQjGpaUHQ6ral2c22seWyyf2OFVFUSh0MTmQvGyyRiNllzfO0X/AKB+qf8Ag4tP/lHQBl1zHjfxJ/whvgvxf4v+xf2j/wAIr4X1/wASf2f9o+x/b/7D0q71P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y27vztF/6B+qf+Di0/wDlHXMeN/FOi+DfBfi/xf8A2Hqmo/8ACK+F9f8AEn9n/wDCQWln9v8A7D0q71P7F9r/AOEcuvsv2r7L5H2j7NceR5nm+RNt8tsMTLkw2Jn7X2HJhsRP2/J7T2HJh68/bez19p7Hk9t7Oz9p7L2dnz2PRyij9ZzfKcN9T/tH6xm2VYf+zvrH1T+0PrGZ5bQ/s/61dfVfr/t/qP1q6+rfXfrN19Xuun1j/j7h/wCwXof/AKZdPrLrptVl0gXMXmWOpM39m6OQU1W1jAQ6RYmJSraPIS6RlEkfcBI6tIscSsIkzfO0X/oH6p/4OLT/AOUdbnnGXWpo/wDx9zf9gvXP/TLqFHnaL/0D9U/8HFp/8o60tKl0g3Mvl2OpK39m6wSX1W1kBQaRfGVQq6PGQ7xh0jfcRG7LI0cqqYnAOZorU87Rf+gfqn/g4tP/AJR0edov/QP1T/wcWn/yjoAy61NQ/wCPTQ/+wXN/6etYo87Rf+gfqn/g4tP/AJR1pX0ukC20ffY6kynTZTEF1W1Uon9r6qCsjHR3EjmQSOHVYgEZI/LLRtLIAczRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdABof/Ia0f8A7Cmn/wDpXDWXXTaPLpB1fShFY6kkh1KxEbyarayIrm5i2M8a6PE0iK2CyLLGWAKiRCdwzfO0X/oH6p/4OLT/AOUdAGXRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdABN/wAgXT/+wprH/pJodZddNLLpH9kWJNjqRjOpaqEQarah1cW2j+YzSf2OVZGUxBEESGMpIzSSCRVizfO0X/oH6p/4OLT/AOUdAGXWpof/ACGtH/7Cmn/+lcNHnaL/ANA/VP8AwcWn/wAo60tHl0g6vpQisdSSQ6lYiN5NVtZEVzcxbGeNdHiaRFbBZFljLAFRIhO4AHvVFFFABRX4Afs+az+w1Z/HPVpfidq3huH/AIK52v7UH7TGn6na6DY+Jdc/bAuvD8/iH4qz/CfR/Gum+GNM1j4lL+xM/wCzrc/DbVPBjeOra2/ZQsYo/htq1veWfjqHwvcj5C8c/t26z+1Z8Ffhpb3n7ZbeE/DXwu+Hv/BHD4p/tH/EzwJH+z1pmnfDj9oTxl+2VdeGvjvp3xN1fxp8OPFXhb4f+LPA2o+H/COueOfhx4l0bQdP+HXiLQvC9nrPh3T9M1XxL4d1t4JPGvLKcHF1MfPKnOVOSqYanhsznlilicPWvCWLhlzzOngswjGlDkzqEMqpVHicbhcNTqtB0Y42pJTjDCLHxVOpB08VUr4KGKlToSoXkqc8xjhljMuSlOVbK639oOnVo4etiKn9XlFfgl8CP2oPjl8Y/j38Sfhgf2tvEWv+KNe8Pft6aF8avgP4W8D/AAMs9e/4J/n4T/FKHwN+yr460OeD4V3fjjwr4g+J/gRz4u0Vf2o9T+LXhj463d5/wsX4R+HtL+HHh3VtAm8H/YB/ZB8J6F8R/wDgjfqVx431zX9H8Gf8E7vjV+0dYeDdW+Ev7Jdn4auvjR8Qdc/Z1m8S/EiSXwz+zd4e8T6N8QtRtvjPcaZqXxN8I+JPDfxP8RWPgjw43izxp4gvvF3xtvfi28HB4t4ed1Sw+Io4atGo1Oc+Wrg89zCryRgvZVoU8LksaVOvRq1cNXx2Kr4aNZf2Hniws4hqhTxLvz18PUxdN0l7sZPD/wBn0qV5vWlKti8e4ypVqdOtRwlGhjZ03TzfKHiP6ZaKKKkAooooAKKKKAPn79qX9m/wP+1x8CfHf7PfxI1XxXongv4hRaDDrWp+CL7SNN8T2q+HvE+i+K7I6Xe69oXiXSoWl1HQrSG6N3ot6HspLmOIQTvFcw+f+Ov2JPhF8RPiz+zl8YPEuqeOJ9b/AGZPBXjzwD4M0GDVNBi8LeJfD/xG8FjwH4hTxzaP4Zm1fUbkaIGayl0DW/DMUN7I8s8FzBttl+waKlQglUXJG1WssRVi4qUalaOW5hk6qTjJSjJ/2VmuZYBqUXCWGxuIpypyc1UhTnNqK55JRpVaEbScXGlXxeAx9WEZR5ZRU8bleXYptSU1WwWHnGcORxqfkL4L/wCCL/7OHgXUvhpeaV8Z/wBrnUNM+Cnxb8OfF74L+DvEPxrtde8B/CfUNA17U/Ed34U8E+DNQ8Gy6BY+FPFmo3tkfFkt7Zah4y1GLQ9PW08X6dJfeJJde9dT/gmD8A4/Kx4u+L58n9uAft9LnX/BnPxhH2f/AIptseABn4af6Mn/ABJxjxRy/wDxWXI2/o7RWsKlSnKnOE5qdGdOrTm5OU41aVbA4mFV1J89SpV+sZZl9eVWrOtVqVcHQqVqlaUXz5zhCcakJRi4VoTp1IKKjCVOpTzKjOmoQUIQpujnGa0o06caUKcMfio0oUlU938nvi9/wR4/Zy+MHxB+Nvji7+K37UvgHRv2iLmbVvi78Jvhl8YoPDHwh8ZeKW06e3s/FuueEZ/Cmqz61rOk63OPGGlWuu6tqvhy18SQpu0GXQpbvQrnufiJ/wAEuPgV468OfACw0P4lftF/Bvx7+zh8LtC+C/gX44/A/wCKNt8OvjJqfwx0LRjpEPhHxZ4jsPDF1omqabeyFtWvfsHhrSJ11OW7XT5rDS9Q1HTLv9KKKxhThCjTw8IqFGjOjUpU43Spyw1HHYahyyUvaKNLC5lmGEhTdV0VhMXXwjoPCSWFhpOcqlSVab56k4V4TlJRfPHFSwU8TzQcfZylXqZdgKtWo6TqzrYPD15VniKUa6/Pv4ef8E0v2cPhT4g/ZZ8ReA5PH+h3X7JqfFefwbAfEWmanH488QfGvQv7E+IPi74rX2reHr7W/EfiTVCZNUtrjRNW8L6fp968dlaabH4estN0Oy5j/h1j+z7/AMMWah+wn/wmPxk/4VHqXjM+OZ/EX/CQeCf+FjpqzeNbfx2beLV/+Fe/8Iyunf2vbR2whfwhJc/2aXh+1/ait4v6V0Vrzy53O9pOdKo2lGKUqGbYPPaPLGMYwhGjm+X4HH0adOFOlSrYPDQp0oYajDBpRbg4Si2pU/hldykm8JmOAlJzm5ynOWEzfNKE6lSVSpUjmGKnUqVK1V4iP5bfF/8A4JIfs6/GT4lfFr4ian8Sv2mfBNl8d9CtdK+MPww+Gnxjm8H/AAp+Iuq6X4ZuvDnh/wAW+LfCtvoF1c63r3hySaz8Q6TY6hq9x4QPiDSrabUvC2o6ZqHiDSta6nxL/wAExfg34g1j9lzxPY/Ff9o3wV4u/ZR+HGifCTwh4u8B/EPQfDPiHx78OtBbTPs/hT4rXdt4Ilh8RaRfQ6fcWetWehW3haDWrLWdXtNSjuIZrRbL9IKKzUIKlCjyr2UJwqQhvGM6dHNMPTtduTjDDZ3m+FhTlKVGOFzHFYVUFhqiw8JSS2SX7meH00/c1IZdCcNLW51lGVylUVq0q2X4TEuv9aowxS/Mm4/4JP8A7NUv7N/wd/ZytvEvxp0Ufs/eK/EPjX4L/HLw1440nwx+0D8OvEXirxffeMdfvPDnjjw/4U07RbaPUbu+bTprWXwlNbCxs9JvUiXxJo+l69aOg/4JSfs4j9nb44fs+an4t+OHie4/aP1bw1rXxq+PPjHx7pni79oXx7feDvEun+JPC39s+OfEPhTUNEkttCbTYtIsLRPCKWyaZcX80kcmt393rMv6aUVVRe1+sqp7/wBclzYnm/5eycsvnNu1uT2s8pyuWI9j9XWKll+Dli1inh6bVxlKE6FSLcZ4aq61CS3p1XVx9dVNrTlCtmuZ1aPtVWjh6mPxcsNHDOvNv5I8V/sbfDPxZ8Z/2Zfjvfa548i8Y/soeFPGnhL4caZZ6p4ei8N63YeOPCEfg3VJvGtpceGLjU9RvYNMiSfT5dD1nw3bw35aW5t7u3ItR+RH7Dn/AARf01vgP4M039ry4+PHgvWrL4p+JvHHj/8AZn0H46aVqX7PfxPu9O8UyXPgjxR8RPBPhi78W6BqWrt4fs9CsJZvDfiXw/eSado+nWuqwi6S7a4/ouoq4VakMVWxvPKeIrOVRTnZ+yxVTP5cS18bTjbl+tYjN5fWqsqsK1JVI06tGhh69GhVoZuEXh6eFUVCjTWGp2g5RcsNg8nxGR4TCSkpKUcPhsvxValR9nOlXjzzjLEzp1a9Ot83fD79lz4e/Db9oX48/tJ6Dqni248b/tD6T8NtG8aaLqd7ok3g7SbP4W+Hj4a8Pf8ACK6bZ+H7DV7GS70879X/ALV13W4p7kBrGLT4P3FfF0n/AARt/ZSbxpealH4r/aEtvgvqPxBHxQ1H9j61+LdxB+yVfeMgIJ21C5+FSaJ9tktm1m1ttc/sz/hKRp8dxbwaLDbReEIIfDSfrFRUU/3M8NUpe5PB0aWHw0lvRoUcVLH0KSUuaM40MdJ42h7aFeVDGcuKoSo4iEK0Kl70K1N/BiJxnWivc5pxwVLLVJOn7OVKX9nUaWAboTw/Ng4/Vp89CU6dT5T8LfsffDLwj8fv2hv2jNL1nxu/jX9pXwd4M8EeONHutR8Pt4S0bSPA3huHwvo8vg/T7fwzbatp19Np0CSX8mr65r1rJd5e1tLSDFuOj/ZS/Zm8B/sffAjwV+z18NNW8Xa54L8CP4jk0jU/HV/o2p+KLlvE/ijWfFt+NSvdA0HwzpUwh1HXLuCz+y6LZmOyjt45jcTpLczfRNFFNulTVKm+SmsNh8IoLb6thcXj8fhqGvM+Sjjc0zHEwvJy9rjK8pTmpRhTU0puLmk3CvLEw0SUa88Bg8rlVioqEYyeXZfgcFZRUFh8LRhGnFxc5fL9fwYf8HRv/J//AMIP+zPPh/8A+rq/aCr+8+vwg/4KlN/wQyHxz8D/APDyw/8AGQX/AAqfS/8AhGv+Tv8A/kjf/CYeM/8AhF/+SB/8UT/yO3/Cyf8Aj/8A+Kp/6CP/ABKf7Br6DhnF/Us1hXeHxWKth8TD2WEpe2rPnhTXMoc0bwja83f3U09bnicQ4X65lk6Kr4fDXr4eftcVU9lRXJOo+Vz5Ze9K9oK2rT7H8pn/AAQL/wCUtH7J/wD3XX/1mr4yV/pJV+C//BND4B/8EPPiJ8WtT+Of/BOfwp/bHxT/AGd/sf8AaPin+3f2u9P/AOEP/wCFt+GvHng+0/4knx01my8OeIP+Eg8OWXjjTv3Gka3/AGV5X2uX+zb59Iun/eitOKcwhmOYwqQw+Kwzo4WnQqUsXSVGtGaqVaqbgpTtGUKsXFtpve1rN58N4GeAwE6cq+HxCq4mpWhVwtR1aTi4U6bSm4xvJTpyTSTS2ve6RWprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1fNn0Bl0UUUAakP8AyBdQ/wCwpo//AKSa5WXWpD/yBdQ/7Cmj/wDpJrlZdABXMeN/En/CG+C/F/i/7F/aP/CK+F9f8Sf2f9o+x/b/AOw9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tunrmPG/iT/hDfBfi/wAX/Yv7R/4RXwvr/iT+z/tH2P7f/YelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2GJlyYbEz9r7Dkw2In7fk9p7Dkw9eftvZ6+09jye29nZ+09l7Oz57Ho5RR+s5vlOG+p/2j9YzbKsP/Z31j6p/aH1jM8tof2f9auvqv1/2/wBR+tXX1b679Zuvq913esf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fWXW55wVqaP8A8fc3/YL1z/0y6hWXWpo//H3N/wBgvXP/AEy6hQBl0UUUAFamof8AHpof/YLm/wDT1rFZdamof8emh/8AYLm/9PWsUAZdFFFAGpof/Ia0f/sKaf8A+lcNZdamh/8AIa0f/sKaf/6Vw1l0AFFFFAGpN/yBdP8A+wprH/pJodZdak3/ACBdP/7Cmsf+kmh1l0AFamh/8hrR/wDsKaf/AOlcNZdamh/8hrR/+wpp/wD6Vw0AfRlFFFAHJXPin7Pc3Fv9g3+RPLDv+1bd3lSMm7b9nbbu25xuOM4yetQf8Jf/ANQ7/wAm/wD7mry3Urzxx/wnN/af8I74U/4Qv7bdf8T/AP4TPV/+Eo/49ZJf+RQ/4QP+yf8AkLf6F/yO/wDyDv8AiZ/8fP8AxKKpfbPHH/CUfZP+Ed8Kf8IX/wBB/wD4TPV/+Eo/5B3m/wDIof8ACB/2T/yFv9C/5Hf/AJB3/Ez/AOPn/iUVh7eP/PvE/wAb2H+7Vfi/5+b/AO7/APUR/C8j0f7Nq/8AQXlP+4f2j/yNsF/D/wCgX4f+Rp/1Kv8AfP7x9G2032i2t7jbs8+CKbZndt82NX27sLu27sZ2jOM4HSpq/Lr9sv4wfGP4f+I7HUfh18Y9T+FmlfBf4M+HfjXP4It/DXwr13Q/2ktV1b4seG/AU3wt8XXfjjwx4i8b6X4es9P8nRYZfhDq3w98YHxf8UfB90PFmpR2MPhTV7v7bvxg+Mfw/wDGjaj8OvjHqfws0r4L/CbR/jXP4It/DXwr13Q/2ktV1b4v+H/AU3wt8XXfjjwx4i8b6X4es9P8nRYZfhDq3w98YHxf8UfB90PFmpR2MPhTV9KM1W9hy3j7fM4ZZ7zj+7nU5/Z4mdpO9Cfsqt40716fI/aRjd+z8yvJYf61zpy+q5b/AGlPls+eHuXw9O7X7+PtqOs7Un7X3W/Zzv8ApxRX4Hyf8FOPj4fiV/wUBgs/gz+0S1t8LfD3wO8P/s5fCe5/YW/az1LXPC134r+Lvxz+DPiH48eNIPD/AMFrjxl8YPAGs3PhLRPjM0XwhfxVpUnwf0SDQfCHmfEDT/iLNbe8fs+ftM/tC/EHwz/wTh+Ivif4p+FNP+Gfx0/Y817xt8X5vGnwb1PwJ418QfGTQfhX4e8U6t8R/EUviC98FWPgT4c6VdSX+qw+END8GaCuuLqD61b+M7Hwja6VZako1Yzw1LFxT9jWo5XWjKUqVJRhm+V8UZtg1VlWrUYUn9V4VxNOtKpOFKhi8wy/C1q1GdPOJ5JpUg6dapQl/Ep1MXScYxnNylgsVkODrcip06sp/v8AP6Ps4wjOpWo4HG16NKvSnljzX9eKK+B/2G/Gnxe1C4+Pfw3+NfxR8afFrxD8PviDoGo+CPGXxD0D4EaL4k8W/CXxp4M0mbw58QNJT9mnTrH4VW/ww8deNdA+JGp/CDQdSm1H4x6F8PLbQ/8Ahcd43iXUII0++K6KlOVNwUtfaUqVZe7ONlUjO8XGrTpVIzpVaOIoVIzpUpwrYatTqUcPVp1sNhMoVI1Pacuqp1qlJtSpzUnT9jKM4ypVKtOUKlLE4atBxq1I8taKVWslGviSiiisywooooAKKKKACiiigAooooAKKKKACiiigAopCcAk5wAScAk8c8AAkn0ABJ6AE1+K8H/BXjxFon7R3wl+D/xZ/ZB8V/BnwB8cviZbfDj4beLfHfxg8Ead8c7qPXNe1bwj4P8AGniz9ka50m0+LXgfwV4j8UaTLZJ4j1+4h0ePTZE1PTL/AFuaay029KX77FUMFT97E4l8tGD91Tm3NQpqpLlp+1qyp1I0aXO6lWUJ8sYQi6wVP3WGr4uemHwycq817zpwjTlVqVHTjzVPZUqUJVa1XkVOlBNzm5WpP9qaK/IfxR/wU7+KN58T/izpXwC/YT+MP7R3wK/Z/wDifbfCD40fGXwH4x0CLxVpvjiy1i203xnp3wz+BiaJq3jH4sp4Uhv7C7ll0TVNN85JJ7vVV8P+H47XxBe+J+Fv25/2kvDf/BSH9sfRfij8NfEKfss/A/4Q6Z4n1yU/ErwhBa/Bb4a6B4N8TeO9K+KsHgGDSbHXfHnib40XVja2Z8LNNJ4x8CDU7bSdXvv7O0r7DHnCrTmsNUc406GJweY4+OIrP2VOGEy7KY5y61SE0q0aeMwVSjWwNR0nTxNGtTxEJ+zqUYYjSdKpB4imoSqV8PicFhJUKS9pUnicbmdHKlQpuDdOdfDYqvTp4mgqirUqko0OR1ZN0v3kor8of2fv+Cgvx4+O2ueDG8V/sFfGT4Q/A345eDvGfib4J/tA2XjTRviZp11pWlaU2t+GdV+LHhjwhoFvd/A618X6A8N14fvvE2u3sGoa5c2OmaDLrumPdeI7Kn/wS5+M3xW1r/gmN8Jvi14m0z4v/tOfEuTUfiSlzpVr4x8Ka18VfGaRfHXxh4ct0g8V/HT4keAfC0y+G9CWO7dfE/xC0gQ+HdDk0/RBf6kmk6Je9EaNRvFKcHSeFw+DrzhUtGqpYrMsblk8NVo39thcTha+ClLEUcTCE0qsIxUpRnKOEqlNQw84TVWOIxlXCQlTu6bVPLauZRxFKtb2WIw9WnRq0ac6EpfvISclCKUZfZVfwV/8HSH/ACkA+D//AGZ38P8A/wBXV+0HX99H9n2n/Qc0v/vzrX/ynr+B7/g6Zhjg/wCCgfweSK6t7xT+xx8PmMtut0qKT8a/2hAYyLu2tZN4ADErGUwy4csGVfpOD/8Akd0/+wTGf+m6R8/xV/yJ5/8AYThf/S6h9e/8GnH/ADf1/wB2sf8Avxtf2IV/Hz/waX28U/8Aw375t9a2Wz/hlbb9pS9fzN3/AA0fnZ9js7vGzA3eZ5ed67N+G2/2Nf2faf8AQc0v/vzrX/ynrn4p/wCR7jv+5b/1Fom/Df8AyJsH/wBx/wD1JrGXWprn/Ia1j/sKah/6VzUf2faf9BzS/wDvzrX/AMp60tYsbV9X1V21jTYmbUr5miki1cvGWuZSY3MWlSRl0J2sY5JEJB2Oy4Y/PnuHM0Vqf2faf9BzS/8AvzrX/wAp6P7PtP8AoOaX/wB+da/+U9ABD/yBdQ/7Cmj/APpJrlZddNFY2o0i+T+2NNKtqWlMZRFq+xCttrAWNgdKEheQOzIUjZAIpPMeNjEsmb/Z9p/0HNL/AO/Otf8AynoAy65jxv4k/wCEN8F+L/F/2L+0f+EV8L6/4k/s/wC0fY/t/wDYelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W3d/2faf9BzS/wDvzrX/AMp65Xx1q1r4L8EeMvGK3mm6s3hLwr4h8TLpUcmr2T6mdB0i81Qael5Loc0do96bX7MtzJDKkBkErxuqFThiZcmGxM/a+w5MNiJ+35Paew5MPXn7b2evtPY8ntvZ2ftPZezs+ex6OUUfrOb5Thvqf9o/WM2yrD/2d9Y+qf2h9YzPLaH9n/Wrr6r9f9v9R+tXX1b679Zuvq911Wsf8fcP/YL0P/0y6fWXXTarY2rXMRbWNNjI03R12vFq5JCaRYosg8vSpF2SqoljBYOEdRKkcgeNc3+z7T/oOaX/AN+da/8AlPW55xl1qaP/AMfc3/YL1z/0y6hR/Z9p/wBBzS/+/Otf/KetLSrG1W5lK6xpshOm6wu1ItXBAfSL5GkPmaVGuyJWMsgDFyiMIkkkKRsAczRWp/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T0AZdamof8AHpof/YLm/wDT1rFH9n2n/Qc0v/vzrX/ynrSvrG1a20cHWNNQJpsqqzRauRKDq+qv5kezSmYIGZoiJVjffG5CGMxySAHM0Vqf2faf9BzS/wDvzrX/AMp6P7PtP+g5pf8A351r/wCU9ABof/Ia0f8A7Cmn/wDpXDWXXTaPY2qavpTrrGmysupWLLFHFq4eQrcxERoZdKjjDuRtUySRoCRvdVywzf7PtP8AoOaX/wB+da/+U9AGXRWp/Z9p/wBBzS/+/Otf/Kej+z7T/oOaX/351r/5T0AE3/IF0/8A7Cmsf+kmh1l100tjanSLFP7Y00KupaqwlMWr7HLW2jho1A0oyB4wis5eNUIlj8t5GEqx5v8AZ9p/0HNL/wC/Otf/ACnoAy61ND/5DWj/APYU0/8A9K4aP7PtP+g5pf8A351r/wCU9aWj2Nqmr6U66xpsrLqViyxRxauHkK3MREaGXSo4w7kbVMkkaAkb3VcsAD3qiiigDhrvwzf3F3dTpNaBJriaZA0kwYLJIzqGAt2AYBhkAkZzgkc1X/4RPUf+e1l/38n/APkavQaKAPK/FvwQ+DvxH1n4ZeKvib8Jvhj8RPGPwb1dfEvwp8V+NvAfhbxb4h+GPitorOOfxL8Otc8QaTfap4L12b7BZh9Z8OXGl6lItpah5/8AR4gmfrv7On7PnijV/AXiDxL8Cfg14i174V+NfEPxK+GGt678MPBOr6v8OPiL4u1mXxH4r8feAtS1DQ7i88H+NfE/iG4n17xD4q8PTadrutazNLqmpX9zfSPO3slFEfc5eT3OSs8RDk93kxDlGbxEOXl5MQ5whN4iPLXc4xk67lGMokkpc6klJVKSw9RS95VKEVUUaE1Lm56EVVqqNCfPRiqtVRopVaqqY0Xhzw9Br2p+KYNB0aHxPrWkaR4f1jxHFpdjHr2raD4eu9bv9A0TU9XSAahf6Rod94m8SXukabdXEtlpt34g1u4soYJtWv3uMnTPh94C0W38G2mjeCPCGk2vw60l9A+H1tpnhrRrC38C6FJptto0mi+DYbWyij8MaS+j2dppT6doi2Nm2m2ttYtCbWCKJevoosmkmlZcqSsrJQVdQsrWXIsVilCyXIsVilDlWJxKxA9bp6p6NPVNWprVO6elKktU9KVJbUqap+XfCb4HfBX4CaBqfhT4F/CD4XfBbwvrfiLUvF+s+G/hN8P/AAn8OdA1fxZrKW0eseKNT0fwfpOjadf+ItVjsrOPUtburaXUr5LS2S6uZVgiCeo0UU7tqKbbUIU6cE27Rp0qdOjSpxV7Rp0qNKlRpU4qNOlSpUqVKFOlSp0qZ1lL7U51Ks31nVq1J1atWb3nUq1alSrVqTc6lWrUqVatSpUqVKkyiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBl67YXOq6JrGl2Wp3Oi3mpaVqFhaazZBWvNJuby0mt4NTtFYqrXNhLIl1AGZVMsSAkDJr+aH4Tf8EaP2rfAmu/s8XGuXv7C15H+zz+1F4T+Ms3xH0Pwt8To/2gPjr4Xi8Y6t4j8T3fxZ+KWvaBrF1Fruk26aQvg3wBpFnc+ErnUL+4vNZ8VWt14W0+98Rf05UUUP9mxtPH0tMRTWFUHL3oL6ljpZhh3ye61y4idT2ijVhCvTqOniKeIVLCvCFb/aMJUwVTWhVWLU1H3ZtY3ATy3ELmV172FmlBypzlRqQjUoToyniFivxVtP2KP+ChHwI+I/x98PfsbfHr9m/wAA/AL9pP42aj8c9e8WfEfwJ4m8SfHX4MeKPGuo2T+Pbf4a+Go9N1D4WeNbEadpdlFpEPj64gjvImaxEfh29gk8Saht/Ez/AIJ9/tA+LP2rvj3400v4g/CbWP2c/wBrv9nPQvgT+0FJ41tvEcXxw0q48PeAdb8I2Xiv4baX4Y8P2Hw5k1WTVn0XxDcvrd7Y6Qy3mtada+GrRbHSrqX9j6Ky9hS9jhqE4+1p4XC18BD2spTqTwFfKVkawNWreNSeGoZZDD4fDQg6E6UsHgcROvicRhKNU0dap7bEYiMvZ1cTiKWMm6ajCMcdSzPD5usbCFpQWKqZhho16tSoq8JxrYyiqFOhjMTSqfkT+zD+zV/wUv8AhmPhP8H/AIoftCfs36f+zH8B/CGpeCdCt/hD4E1+7+LXxx8N6RpC+Gfh3ofxWufiJoF94e+HtrpelwWOpatqPwuvJNad7S40CW+1qXUU8Xad9Mf8E6P2avHX7In7IPwv+AHxJ1bwnrfjLwTeeP7jVdT8D32sal4ZuE8VfEbxX4v04afea9oPhrVZWh03XbSC9Fzo1oI76O5iga4t0iuZvt6iup16spYmpOXtK2Mp0YYyvUSlXxU6GOxGYqvWqWi5V6mKxVadSUY0qbjJwp4agpVZV+f2VNQo04x5KOGryr4ajBuNKg5YOtgfZ0oNytSWHr1UlOVSpKo4VKmIqulShT+X6/gr/wCDpD/lIB8H/wDszv4f/wDq6v2g6/vUr8H/APgqX/wQ6/4eT/HPwP8AtAf8NP8A/Cl/+Eb+E+l/B3/hEv8AhSv/AAsX7b/wi/jDxn41/wCEi/t7/hbXgT7N9u/4WR/Zn9kf2NP9m/sb7Z/alx/aP2Sx9nhvG4bAZpDE4up7KisPiYOfJOfvVIU1BctOMpauL1tZW1aPJ4gwmIxuWzw+Fp+1quvh5qHNCHuwnNyfNOUY6JrS93fRM/M//g04/wCb+v8Au1j/AN+Nr+xCvx3/AOCTn/BJz/h17/wv3/i/v/C8f+F4/wDCrP8Amln/AArP/hF/+FZ/8LH/AOqj/ED+2/7b/wCFgf8AUI/s3+yP+X/7f/oX7EVjn+KoY3NsVicNU9pQqex5J8s4c3Jh6UJe7OMZK0otapXtdaWZrkmGrYTLMNh8RD2dan7bnhzRlbmr1Jx96DlF3jJPRu17PW4Vqa5/yGtY/wCwpqH/AKVzVl1qa5/yGtY/7Cmof+lc1eOeqZdFFFAGpD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuVl0AFcx438Sf8Ib4L8X+L/sX9o/8Ir4X1/xJ/Z/2j7H9v/sPSrvU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbp65jxv4k/4Q3wX4v8X/AGL+0f8AhFfC+v8AiT+z/tH2P7f/AGHpV3qf2L7X5F19l+1fZfI+0fZrjyPM83yJtvlthiZcmGxM/a+w5MNiJ+35Paew5MPXn7b2evtPY8ntvZ2ftPZezs+ex6OUUfrOb5Thvqf9o/WM2yrD/wBnfWPqn9ofWMzy2h/Z/wBauvqv1/2/1H61dfVvrv1m6+r3Xd6x/wAfcP8A2C9D/wDTLp9Zdamsf8fcP/YL0P8A9Mun1l1uecFamj/8fc3/AGC9c/8ATLqFZdamj/8AH3N/2C9c/wDTLqFAGXRRRQAVqah/x6aH/wBgub/09axWXWpqH/Hpof8A2C5v/T1rFAGXRRRQBqaH/wAhrR/+wpp//pXDWXWpof8AyGtH/wCwpp//AKVw1l0AFFFFAGpN/wAgXT/+wprH/pJodZdak3/IF0//ALCmsf8ApJodZdABWpof/Ia0f/sKaf8A+lcNZdamh/8AIa0f/sKaf/6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXO+L/Feg+A/Cfifxx4qvv7L8MeDfD2s+KfEepfZb29/s/QvD+nXOratffY9OtrzULv7JYWlxP8AZrG0uryfy/KtreaZkjaKtWnRpVK1WcadKjTnVq1JO0YU6cJVJzk+ijCEpN9l6FQhOrOFOnGU6lScKdOEE5TnUqTjThCEVdylOc4QjFJuUpRik20dFRX4/wD7JH/BYj9m/wCOfwB+LXxy+Lvjfwh8HI/hH4vu7bxf4fktfG94nhzwj4k1rxFa/CaOHVLzw3byfEPxf4x0fwzql+dG8CaZdax51tLDJ4W0uRY4ZNX9oz/gqR8NY/2E/i5+1z+xX43+Hfxlvfhr4k8E+GZbPxdoHjiy0/TdQ8SeN/Dfh68g8T+Db64+HXjrTzLpOsXV7od1O2m2eoSwrdWkupWlvcRNryT5qcOSTnOOTycEuaVGGfVssw+WzxMY3eHjVq5tg4VHU/gS+sKoubD1FMpw9rVVGEoc88TjsJTcpqMKtfLli5YqFGb92qowwdWrTlTuq1GdCtT5qeIptfrXRX5t/Cz9uG+1D9oz9vjwD8aL/wCGnw/+DH7IejfAXXNK8cyjVNDvk0/4neBNT8T+JbjxvrGseI9Q0e7FrqdpbWXh6HRtG0W4ZZ1sJI9X1C4t3r2f9nH9vb9kT9rW18ZXfwB+Nnh/xsnw+tI9R8ZW97pHivwNqOhaTLHJINcutK+Ifh/wpqkvh+IRSJc6/a2dxo1nOv2a6vobgiIyrOMZqUWnl9PNZpSi5UcBVeLUcTiI3X1ekvqOJlOdVxhCFN1JTVNTq0soVIzUZJSSqV6OFpOUJRVbE18HluOpUKOj9rWlQzbBfu6alP2tSVFRlVioVfr2ivzp8Kf8FaP+CePjnxTo/gnwj+0v4b17xX4h+JegfCPQNDsPCfxJkvdc8b+KL640zQ7fSFbwWial4bvb+3Nq3j6zebwDaTXOmrfeJrb+1tMN323jT/gpJ+w78PPjpa/s2eMf2iPB+i/GO51bTtAk8NPYeKbzStL17VJGhs9D8Q+OtO8P3nw/8MawZgsF1pfiLxTpd9YTzWsN/BbS3dqkzhGVSWGjCMpyxspQwcYxblipxpYetKGHjbmrTjSxWFqSjTi5RjicOpRjOtTpTqco01XlOUYRwsPaYmUmlHD0/bVsP7StJvlpQdfD4ikpzkoudCslKUaVSpH7gor4L+Nn/BTv9hb9nTx141+Gfxn+Pml+CPH3w9l8LReKvC1x4L+Jmr6ranxnosfiHQJNMi8O+C9XTxJbzaPNb3mpXXhmTWLbw/8Aa7ODxBLpd1eWsMv0RaftJfAC5+CWl/tJzfGP4c6L8A9Y0fR9etfi74r8V6R4N8Bwabr+p2mhaS+r+IPFlzotjoF3c+IL608ONpmuyadqdr4lnXw7d2cGthrBVT/e0nXpfvKCcIutT9+knV9t7NOpG8E6n1evyJtczo1UrypyinP91UjRqfu6soynGlP3KkoQjRnKUYStJxjDE4ebkk0o16Mr8tSMnxdfwV/8HSH/ACkA+D//AGZ38P8A/wBXV+0HX99H9h61/wBAfVP/AAX3f/xmv4Hv+Dpm1urP/goH8Horu2uLWRv2OPh9IsdxDJA5Q/Gv9oRQ4SVVYoWVlDAYJVgDkHH1HB//ACO6f/YJjP8A03SPnOKv+RPP/sJwv/pdQ/YH/g1v/wCUf/xg/wCzxPiB/wCqV/Z8r+kyv5wP+DWbTtQvP+CfnxhltLC9uo1/bH+IMbSW9rPOgcfBT9ntiheKNlDhWVipOQGUkYIz/Sn/AGHrX/QH1T/wX3f/AMZrz+IP+R3mf/YXL/03QO7I/wDkT5d/2DR/9LrmXWprn/Ia1j/sKah/6VzUf2HrX/QH1T/wX3f/AMZrS1jR9Xl1fVZYtK1KSOTUr6SOSOxunSRHuZWR0dYirIykMrKSGBBBINeOeqczRWp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNABD/yBdQ/7Cmj/APpJrlZddNFo+rjSL6I6VqQkfUtKkSM2N0HZI7bWFkdU8rcyRtLErsAQpkjDEF1zm/2HrX/QH1T/AMF93/8AGaAMuuY8b+JP+EN8F+L/ABf9i/tH/hFfC+v+JP7P+0fY/t/9h6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bd3/Yetf9AfVP8AwX3f/wAZrlfHV5q/gnwR4y8Zy+HtSvY/CPhXxD4nkspIrqxS7TQNIvNVe1e+azuVs0uFtDE101vcC3DmYwyhPLbDEy5MNiZ+19hyYbET9vye09hyYevP23s9faex5Pbezs/aey9nZ89j0coo/Wc3ynDfU/7R+sZtlWH/ALO+sfVP7Q+sZnltD+z/AK1dfVfr/t/qP1q6+rfXfrN19Xuuq1j/AI+4f+wXof8A6ZdPrLrptV0fV5LmJo9K1KRRpujxlksbpgHi0ixilQlYiA8ciPHIvVHVkYBlIGb/AGHrX/QH1T/wX3f/AMZrc84y61NH/wCPub/sF65/6ZdQo/sPWv8AoD6p/wCC+7/+M1paVo+rx3MrSaVqUanTdYjDPY3SgvLpF9FEgLRAF5JHSONeruyooLMAQDmaK1P7D1r/AKA+qf8Agvu//jNH9h61/wBAfVP/AAX3f/xmgDLrU1D/AI9ND/7Bc3/p61ij+w9a/wCgPqn/AIL7v/4zWlfaPq722jqmlakzRabLHKq2N0xjc6vqsoSQCIlHMckcgVsEpIj42spIBzNFan9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM0AGh/wDIa0f/ALCmn/8ApXDWXXTaPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCs3+w9a/6A+qf+C+7/wDjNAGXRWp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNABN/yBdP8A+wprH/pJodZddNLo+rnSLGIaVqRkTUtVkeMWN0XVJLbR1jdk8rcqSNFKqMQAxjkCklGxm/2HrX/QH1T/AMF93/8AGaAMutTQ/wDkNaP/ANhTT/8A0rho/sPWv+gPqn/gvu//AIzWlo+j6vFq+lSy6VqUccepWMkkkljdIkaJcxM7u7RBVRVBZmYgKASSAKAPeqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmuCyMo6spAz0yQRzTqKmcI1ITpyvy1IThKzs+WcJQlZ9HyzlZ9HZ9A217a/cfx03vwA/ai179jzw38D3/AGc/2w/C3iH9jX9uHWfjb48uPh/4Su/B/if4leAfFXjLxrDb+LP2UfHF5DfSeNPiF4CMh1TT/wCw/D+o2qR6vo3iPS7vUbYMbfr/ABb+yl8UfFX7F3/BQD4heBfgl/wUY1bxP8Ytb/Zv8L+GLT9sHxSPif8AtI/GGz+G/wAQtAvdQ8R3/wAG/Cvwp0jxj4Sg8E6fLLpGk6lqnjH4gW+q+GYri50z+w9O025ST+ueiqwt8KqVn7SdJZRJTa5HKtltPg3D16rUXOKp5hhuB8ppzw0FClhalbG16VTFSnhaWB2qVpVMUsU4pWxeMxPsrtwcMVmPEOb06HM+WX+zZhxNmNZV5KpVrU6eCpTp0J4eeKxP8v8A+1N+yB+0j8atd/4LD6R4E+G3jyJ/HrfsM+KvAP23w/qvh/TfjLpvwo8L3Gp+OPDPw98TavYw6Nr2taU9qoeHSZtTeLXbWx0O5txeahDA9P8AZ3/ZI+I3x31D9p3xT4d8F/8ABTTwt4j1n9ij4i/ADw18SP8Agoz8XNGt9Y1rxd8RbGWWD4XeGfh1ffCi18SXvw703UFbVo/Hp+IVtomnXt1cJceB4dVuxPB/UZWVr2g6J4p0TWPDPibR9L8Q+HPEOl3+ia/oGt2Frquja3o2q2stjqek6tpl9FPZajpuo2U89pfWN3BNbXdtNLBPFJFIynCdL/ZcTQiuf22VLAQTm6UoV45XmGULFKsoV3FVMHjuWeH+ryoe2owqznXoVMTgJ50H7KeClzP/AGTE4Oq3yqSqYfCVeHMR7B0uelHmniOG8NWdb2yny1pUYwhPD4HH4T+STxH408Yz/Dz/AII+/s++Mv2Nvi78AfF/7Of7ZfwC+H/iTxl8S/B2m+E9B8SeIdP1ow66/wAHLgalNrvj7QfGkulS+OvH/ii00ey8M2GtQ6Kkeo6+2qadqg5Hxv8AsU/HCx+Jf7TX7PfxA+E//BTb4k6n8bf2odd8c+GI/gF8UdD+Gf7CHxF8GeO/E+meIbHx38XvGGufDL4oeHPCvjLw/HZx6jqSap4f1+WK50LQNHmXQr3T7O5k/oU+C3/BKf8A4J//ALPfxJ0X4vfCX9nXRvD3xC8NyXM/h/XtT8a/E/xpHol3dRtE2oaXovjrxv4l8P2OqQI7jT9UttKj1HSyzNpt1aMxY/oVXc6sZ1qWMrL2uKq47M8dmcFF0cPiZZhiuFcc4UeSq54SSxvDFOuqmGi1RoYqWEw6hVo4fM8Jioypx+r0JOnhsJhMFhMsqN89ej9Tr8SVKdasnGCrctHiKpSjSq1ISdahHFTqQUquDxX4l/Bj4CeMtH/4KLf8FJfFXiL4YeM7/wAG+KP2bfgb4A8BfETxZ4O1W/0n4gCz+EehaL4t0Pw/4yvtEttK8X3l1qGkWdv4ssNGllFzqdnCmp2EU0EUEXuv/BGzwB48+F//AATq+Angj4l+CfF3w78aaPcfFFtX8IeOvDes+EvFGlLqHxd8dalYHUtA1+y0/VbEX2nXlpqFmbq0iFzZXVvdQ74J4pG/T+is6VSdOjKlJ+1lPLsBl06skoyksDn3Euf+35YRjTjUr4nifFUalOMY0YU8PRnSipzqRg6lOE/YKK9nDD42WMpwj7ySfDORcMQoNy19nTwmQ4fERl8brV6tNpUY02/l+v4K/wDg6Q/5SAfB/wD7M7+H/wD6ur9oOv71K/kl/wCC93/BL/8Abn/bR/a6+Gfxa/Zp+B3/AAsn4faL+zj4V+HWpeIP+Fl/B/wd9m8ZaH8Tfi34l1TR/wCyvH3xA8K63N9l0Txn4avf7Qt9Nl0qf+0vs1vfTXdnf29r9BwrXo4fN4VcRWpUKaw2Ki6lapGnBSlCmox5ptRvJppK9207Hh8S0a1fKp06FKpWqPEYaShShKpNxjOo5Plim7RTTbtZXVz6O/4Nb/8AlH/8YP8As8T4gf8Aqlf2fK/pMr8Rv+CCf7If7RH7Fv7H/wASPhb+0x8Pf+Fa+O9f/aT8YeP9J0L/AISzwP4x+1+EtU+F/wAHfDthq39p+APE3irRoPP1nwrr1n9gudQh1OL7B9omso7W6sp7j9ua4c8qU62b5jVpThVpzxMpQqU5KcJx5KC5oyi3GSumrptXT7Hbk1OdLKsBTqwlTqQw8YzhOLjOMues7SjJJxdmnZpPVdwrU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmryj0jLooooA1If+QLqH/YU0f/ANJNcrLrUh/5Auof9hTR/wD0k1ysugArmPG/iT/hDfBfi/xf9i/tH/hFfC+v+JP7P+0fY/t/9h6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bdPXMeN/En/CG+C/F/i/7F/aP/AAivhfX/ABJ/Z/2j7H9v/sPSrvU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbDEy5MNiZ+19hyYbET9vye09hyYevP23s9faex5Pbezs/aey9nZ89j0coo/Wc3ynDfU/7R+sZtlWH/s76x9U/tD6xmeW0P7P+tXX1X6/7f6j9auvq3136zdfV7ru9Y/4+4f8AsF6H/wCmXT6y61NY/wCPuH/sF6H/AOmXT6y63POCtTR/+Pub/sF65/6ZdQrLrU0f/j7m/wCwXrn/AKZdQoAy6KKKACtTUP8Aj00P/sFzf+nrWKy61NQ/49ND/wCwXN/6etYoAy6KKKANTQ/+Q1o//YU0/wD9K4ay61ND/wCQ1o//AGFNP/8ASuGsugAooooA1Jv+QLp//YU1j/0k0OsutSb/AJAun/8AYU1j/wBJNDrLoAK1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK+ZfiP+1Z8PPhh+0b+z7+zFr+jeM7zx7+0jY/ES/8Davo+naHceENKh+GegN4i15fFd/e+ItP1mxlu7JTFpC6RoGurPdYS8ewh/f0R96pRox1q4ipKlRpr4qtSNDFYqUIbJyWHwWLrO7iuTD1HdtRjMl7tOtWlpSw9J16838NKjGpQpOpPdqKqYmhBtKT5qsPds24/TVFFeF/CP8AaK+Gfxv8W/Gvwd8Pb3VdSv8A4BfEH/hV3j+9vNIudL02PxrDplvqWp6Vo73xhvdSi0f7Qtje6j9ht9OuLxJDpN1qdjsvXE1Kfs4+9UVGtiHBayVDDyoRrVmulOlLFYaE5uyU69KCvKaiD92HtHpD2tKhzPSPtq6rujSv/PVWGxDhHdxo1ZaRg2e6UVz3i7xXoHgTwp4m8b+K7/8Asrwv4O8P6z4p8R6p9lvb7+ztB8P6dc6tq999i022vNRvPsmn2lxcfZbC0uryfy/KtbeaZ0jbjvgl8X/CXx++E/gL4z+A11VfBnxH8PWnijw0dcso9O1WTSL4yfY5r2xiubxbSWeNBMIGuHljjkRZlimEkSEWpurGPvOhCjOslr7KGJqVqOHlU/lVarh68KV3ebo1eVctOUkS91U3LRVZ1YUm9PaToUqVatGH8zpUq9GpUt8MatO7vOMX5jX8kv8AwXu/4Kgftz/sXftdfDP4S/s0/HH/AIVt8Pta/Zx8K/EXUvD/APwrT4P+MftPjLXPib8W/DWqax/avj74f+Ktbh+1aJ4M8NWX9n2+pRaVB/Zv2m3sYbu8v7i6/rar+Cv/AIOkP+UgHwf/AOzO/h//AOrq/aDr6PhWhRxGbwpYijSr03hsVJ061ONSDlGFNxlyzTjeLbadrpt2PA4lrVqGVTqUKtSjUWIw0VOlOVOajKdRSXNFp2kkk1ezsrn9Df8AwQT/AGvP2iP20v2P/iR8Uv2mPiF/wsrx3oH7SfjDwBpOu/8ACJ+B/B32Twlpfwv+DviKw0n+zPAHhnwro0/kaz4q168+33OnzanL9v8As817Ja2tlBb/ALc1/Nn/AMGt/wDyj/8AjB/2eJ8QP/VK/s+V/SZXDnlOnRzfMaVKEKVOGJlGFOnFQhCPJQfLGMUoxV23ZJK7fc7cmqTq5VgKlWcqlSeHjKc5ycpylz1leUpNuTskrtt6LsFamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1eUekZdFFFAGpD/wAgXUP+wpo//pJrlZdakP8AyBdQ/wCwpo//AKSa5WXQAVzHjfxJ/wAIb4L8X+L/ALF/aP8AwivhfX/En9n/AGj7H9v/ALD0q71P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y26euY8b+JP+EN8F+L/F/2L+0f+EV8L6/4k/s/7R9j+3/2HpV3qf2L7X5F19l+1fZfI+0fZrjyPM83yJtvlthiZcmGxM/a+w5MNiJ+35Paew5MPXn7b2evtPY8ntvZ2ftPZezs+ex6OUUfrOb5Thvqf9o/WM2yrD/2d9Y+qf2h9YzPLaH9n/Wrr6r9f9v9R+tXX1b679Zuvq913esf8fcP/YL0P/0y6fWXWprH/H3D/wBgvQ//AEy6fWXW55wVqaP/AMfc3/YL1z/0y6hWXWpo/wDx9zf9gvXP/TLqFAGXRRRQAVqah/x6aH/2C5v/AE9axWXWpqH/AB6aH/2C5v8A09axQBl0UUUAamh/8hrR/wDsKaf/AOlcNZdamh/8hrR/+wpp/wD6Vw1l0AFFFFAGpN/yBdP/AOwprH/pJodZdak3/IF0/wD7Cmsf+kmh1l0AFamh/wDIa0f/ALCmn/8ApXDWXWpof/Ia0f8A7Cmn/wDpXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH8rX/BXa18WfFP8Ab+8L/CH4leI/2ZdA+COgfs1w+Ovh7o37aXxT+OXwq+AuteMW8ValaeK/Evh3WPgV4m8I6rffFm1shHoGn6XrmrTW9x4fhv4bfT7q9vNIQ+cL8PtW+N2jf8EOPhp8bPiy3xl8NeLvGv7VfhlfiH8OdY+NHgm58Z/Cezi8MW+k+Hh4g+IfhT4XfFqHTrjw9YyeBL/UW0XRrrV/ByhdJ1q8gvINeuf6nPid8EPgv8bLPStO+M3wh+F/xc0/Qrm4vdEsfid4A8KePbPRry7iSC6u9KtfFWk6tBp1zcwRxw3E9okMs0UaRyOyKoGjqHwn+Fmran4B1rVfhr4A1PWfhStwnwu1bUPBvh281P4bJd2Nrpl0ngG/udOkuvBy3Om2Nlp9wvh2XThNY2draSBoLeGNIwFOGFhhqdaEMRCjnVDMq8JRU44yjRxXEWKlKvGsnFY90s7oZaqijUoSy/AKFWrOnVhgMLeLqTr1qtalKVCc8oxWX0pRbhPDVa+V5dl0FRlStJYONbBVcznFyhWWOxKnTp+3oQzB/wAo3iyy8Y/sk/DL/guT8B/2V9U8a+Dvhp8Itf8A2YL7wV4b0nxN4j1i9+HXhz4ogJ8XNV8N6pqNxquvW8t74XH9navq81++oxeHtMgvb7VTPpKagnXfCTwJ+wd8Mv8AgpH/AMEzdK/YY+I48UeHr/4bfHLxX8R9J8PfEfWPirBo3ibU/gVrsFp4r1XTLjVvEEHhH4qeLLPS5oPGfgvSdL0SSL/hF/DlvL4Q0hYrG2uf6jtO+Ffww0jXPHfibSfhx4C0vxJ8UYrGD4meINO8H+HrLXPiLDpljcaXpsPjvVrbTor/AMXRafpt3dadYx+ILjUEtLG5uLS3EdvNJG3CeDP2Wv2Y/hzqnh/XPh7+zn8CPAeteE7/AFzVfCuseDPhD8PvC+qeGdT8TaXa6H4k1Hw/qGieHrG70a/8Q6LY2Oj65eadNbXGraXZ2un38lxaW8MKXh3Om8PKtUnUq0sFl+Hr4uMqn1vETwfDPFPDs8PVrSqxnPLpVc+web0oe2p4uGNwNX97CcsHi8JniowrQx9OjCNOjiqubOjhWorC0I5njuF8esQqcISUcdReRY7C+0hTlReHzSTUVJYqji/44f2WdZ8L/CD9s/8AZ7+JV1rXgH9oPVfGv7Rh0FP2if2fP2iPGvgz9pTxz4p+KHxB8Q6LrGnftI/s1fHe4v8Ax/eeGYtKmvYvFem+GPgZ8I9H1OK70Zh8bvEl1duda9os7T9j79lHR/8Agrvfy2vi7w18XtH+Nms/AzwF4W+Fnxwm+HnxkPwD8ceOPAzajYaRqXjpPH2m6X4I1DxBbWVh4t+JOpeAPFer2Olag2hw6raSa/Y+Z/WNpP7OH7PGg/Ea5+MWh/Ab4MaN8XL291TUrz4p6T8LvA+nfEa71HXILi21rULnxvZ6HD4mnvdYtru6t9UupdTefUILm4iu5Jo5pFZutfs3fs7eI/Eni/xl4h+AnwW17xf8QdDk8MePfFWtfC3wNqniTxv4bmh062l8PeL9cvtCn1PxLoctvpGkwSaTrN1e2Dw6Xp0TW5SytliyUGsNg6FoXo5TmuVV7QgoPDZhiOFq8cPRgqKoujbIMdh8RKtg6cZYfOayWW1p08VHNt5Vb4zG4q8v9pzTLc1hFv8A5icBPiC1WsueXK4RznCSo0qNapBVcnwi+sYfD/VqOV/yM/s2fDLwPc/F3/goP8BfDX/DPsvwO8T/APBPbxz8TJ/hV+yz8fPi18bPhw/jHwb4k0LxP8NLjxB8RPFmv3WoeLfi14CeeOz8V33g+40vwW7Xv9n2GhWlrq+uaO37Y/8ABJH4Qfsz+LP+CbXgTwZ8NNcvrb/hP7TQvE/7QE3wf+PHxO8HePNM+NENr4Zm1mK+8ZfDb4iaH8Qfhdrc9n4Z8NpqXhjwzrvhGx1Dw+721zpFxoXiPUotU/T7wd+zz8Afh1faVqfw++B3wf8AAupaF4Z1LwXoeo+Dvhn4L8MX2jeDtY1q88S6v4T0q70TRLG407wzqviLUL/X9S0Gzkh0u+1q+vNVubWW+uZp32vhr8HvhH8GdK1DQvg/8LPhz8KNE1bUm1nVNG+Gvgjwz4F0rUtXe3gtH1XUNO8L6Zpdpeak9rbW1s19cwyXTW9vBCZTHFGq9sKygsRFe05a+VZbl7m5XrSnleecQZhh3WnOU5VqEsvzrDYKfPOWIVXKcNOPLQqSo4bilRcvY6w/c5jVxqp8tqKWJyLKcsxEqcI2VPEvG5VLHwlFOnL+0cXGrKdalSr4nzn+2Lv/AJ46X/4I9F/+V9fwPf8AB0zcyXX/AAUD+D0kq26sP2OPh8gFva2tmmB8a/2hGBMVpDBGz5Y5kZC5AVSxVVA/vNr+Cv8A4OkP+UgHwf8A+zO/h/8A+rq/aDr6Dg//AJHdP/sExn/pukeHxV/yJ5/9hOF/9LqH7K/8Gs1/Pa/8E/PjDHFHZMp/bH+ILk3GnafePk/BT9ntSBLd2s8iphRiNXCAlmChmYn+lP8Ati7/AOeOl/8Agj0X/wCV9fzP/wDBrf8A8o//AIwf9nifED/1Sv7Plf0mV5/EH/I7zP8A7C5f+m6B3ZH/AMifLv8AsGj/AOl1zU/ti7/546X/AOCPRf8A5X1paxqt1Hq+qxrFppWPUr5FMmj6RK5C3MqgvLLYvJI5A+aSR2dzlnZmJJ5mtTXP+Q1rH/YU1D/0rmrxz1Q/ti7/AOeOl/8Agj0X/wCV9H9sXf8Azx0v/wAEei//ACvrLooA6aLVbo6RfSeVpu5dS0pABo+kBCJLbWGYtELERu4Ma7JHRnjBkWNlWWUPm/2xd/8APHS//BHov/yvoh/5Auof9hTR/wD0k1ysugDU/ti7/wCeOl/+CPRf/lfXMeN/Hd34N8F+L/F/9m6XqP8AwivhfX/En9n/ANmaLZ/b/wCw9Ku9T+xfa/7Iuvsv2r7L5H2j7NceR5nm+RNt8ttOuY8b+JP+EN8F+L/F/wBi/tH/AIRXwvr/AIk/s/7R9j+3/wBh6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bYYmXJhsTP2vsOTDYift+T2nsOTD15+29nr7T2PJ7b2dn7T2Xs7PnsejlFH6zm+U4b6n/aP1jNsqw/8AZ31j6p/aH1jM8tof2f8AWrr6r9f9v9R+tXX1b679Zuvq916bquq3UdzEqxaaQdN0d/n0fSJDmTSLGRgGksWYIGYiOMEJEgWKJUjREXN/ti7/AOeOl/8Agj0X/wCV9Gsf8fcP/YL0P/0y6fWXW55xqf2xd/8APHS//BHov/yvrS0rVbqS5lVotNAGm6w/yaPpEZzHpF9IoLR2KsULKBJGSUlQtFKrxu6NzNamj/8AH3N/2C9c/wDTLqFAB/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1l0UAan9sXf/PHS/8AwR6L/wDK+tK+1W6W20dhFppMmmyu27R9IcAjV9VjxGr2LLEm2NSY4giFy8pUySSO3M1qah/x6aH/ANgub/09axQAf2xd/wDPHS//AAR6L/8AK+j+2Lv/AJ46X/4I9F/+V9ZdFAHTaPqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAIzf7Yu/+eOl/wDgj0X/AOV9Gh/8hrR/+wpp/wD6Vw1l0Aan9sXf/PHS/wDwR6L/APK+j+2Lv/njpf8A4I9F/wDlfWXRQB00uq3Q0ixk8rTdzalqqEHR9IKAR22jspWI2JjRyZG3yIivIBGsjMsUQTN/ti7/AOeOl/8Agj0X/wCV9E3/ACBdP/7Cmsf+kmh1l0Aan9sXf/PHS/8AwR6L/wDK+tLR9VupNX0qNotNCyalYoxj0fSInAa5iUlJYrFJI3APyyRurocMjKwBHM1qaH/yGtH/AOwpp/8A6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFQ3FxBaQT3V1PDbWttDJcXNzcSJDBbwQo0k0880jLHFDFGrSSSSMqRorMzBQTSlKMYylKUYxjGUpSlJRjGMU5SlKUnGMYxjGUpSlKMYxjKUpRjGUk0nJqMU5Sk1GMYpylKUmoxjGMVKUpSlKMYxjGUpSkoxTbSc1FeReHf2gfgL4vfwCnhP43fCLxO/xW/4SQfC5PDvxJ8G60/xJPg0zjxePAK6brVyfGP/AAiptbkeJP8AhHhqP9hm3nGp/ZTDJt9dqnGUfijKPvTj70ZR96nJRqR1ivepylGM4/FCUoxnGEpRjKU09mnopaNP3ZOajLRv3ZOnUUZfDJ06ijKTp1FAooopDPl+vwf/AOCpf/BcX/h2x8c/A/7P/wDwzB/wuj/hJPhPpfxi/wCEt/4XV/wrr7F/wlHjDxn4K/4R3+wf+FS+O/tP2H/hW/8Aaf8Aa/8AbMH2n+2fsf8AZdv/AGd9rvv3gr+Cv/g6Q/5SAfB//szv4f8A/q6v2g697hvBYbH5pDDYun7Wi8PiZuHPOHvU4U3B81OUZaOT0vZ31TPF4gxeIwWWzxGFqeyqqvh4KfLCfuznNSXLOMo6pLW11bRo/qu/4Jb/APBQr/h5T+z/AOMPjp/wqH/hS/8Awinxi8QfCb/hFv8AhP8A/hY32/8AsLwV8PvGH9v/ANt/8IV4E+y/av8AhO/7O/sr+yLnyP7K+1/2lN9u+y2f6TV/Nn/wa3/8o/8A4wf9nifED/1Sv7Plf0mVx5xh6WFzTHYahD2dGjiJQpw5pS5YqFFpc03KT1lLWTb130R1ZVXq4nLcFiK0uerVoRnUnaMeaTnVTfLFKK0jHRJLTbcK1Nc/5DWsf9hTUP8A0rmrLrU1z/kNax/2FNQ/9K5q809Ay6KKKANSH/kC6h/2FNH/APSTXKy61If+QLqH/YU0f/0k1ysugArmPG/iT/hDfBfi/wAX/Yv7R/4RXwvr/iT+z/tH2P7f/YelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W3T1zHjfxJ/wAIb4L8X+L/ALF/aP8AwivhfX/En9n/AGj7H9v/ALD0q71P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y2wxMuTDYmftfYcmGxE/b8ntPYcmHrz9t7PX2nseT23s7P2nsvZ2fPY9HKKP1nN8pw31P+0frGbZVh/wCzvrH1T+0PrGZ5bQ/s/wCtXX1X6/7f6j9auvq3136zdfV7ru9Y/wCPuH/sF6H/AOmXT6y61NY/4+4f+wXof/pl0+sutzzgrU0f/j7m/wCwXrn/AKZdQrLrU0f/AI+5v+wXrn/pl1CgDLooooAK1NQ/49ND/wCwXN/6etYrLrU1D/j00P8A7Bc3/p61igDLooooA1ND/wCQ1o//AGFNP/8ASuGsutTQ/wDkNaP/ANhTT/8A0rhrLoAKKKKANSb/AJAun/8AYU1j/wBJNDrLrUm/5Aun/wDYU1j/ANJNDrLoAK1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP5X/wBsv/gpR+1/8Kvin8V/iN8Gv2hE8f8Aw7+Evx9j+G958Gfg/wDsnXvjr4A+HdD0PXfDmlw+G/2gP2tPH/h/wlrHhn4qePP7Q1S0n8L/AAgbx3pNtq1nFp+k+LtDlvrWWP7T+Jfxi/bZ/ad/a6/au+Cn7PHx48Bfs6/Db9kH4b+AL7XPC/ir4T6J8Rbv48+KviR4Qk8YNonijVNfbS9Z8E+CBb2mo+GL/wAT+B9XsNX0m0mttTtLLVb/AFKK40D0zxz/AMEU/wBmDx1P8WLS4+K/7WHh3wN8WPG178Tbj4R+FvjWmn/CTwX8TdS13Sdcv/iF4O8C3fhTUdNk8U3A0680iO68aN4ys7DR9d1GHTLGyu7Dwze+H/Yvjt/wTA+BHx4+Ls/xsvfiF+0N8LPGniTwbpvw9+LR+CHxWk+G2mfHnwVpkNjZR+HPi/b6dodzd65pl3pGnwaHqMOhX/hr7dpSxQTlprDS7iw4nQqVMnpYOso1MVPCZpSqOcueFHGZlwpSwVOtXk01meCwXEP9p1Fg60p+3wuZ4bFyp06uHr5fget1oQzSpiqDdOhGvg5w5IuMqmGwPE+Gxrp0ad19QxmL4fpwwzxdFw9hjKGIpe0nRq4XHy/GH/gnH441zw9on/BETwdY2fg6bS/GB/4KFHV73Vvh98P/ABJ4osn0DU/Hd/Ynwj4817w1qvjTwIs1wSmr/wDCCeIvDyeI7ILp+v8A9qacFthe8F/tc/8ABUQ/sF3H/BRzU/2tfh5r/hT4XfEG50rWf2ftU+A/wxtE+KHhDTvivZ+Db658VfEbRLTRtV8N69Jc602kWWg+DtH8PvP4b0fStRXWX8S6ldSXn7J/CH/gmL8B/gk37Jc3hHxb8XdRl/YyT43j4Wr4i1/wZdLr7fHk6u3i4ePv7O8A6QdU/s5tYuR4b/4R5vCv2MJB/ah1jbIZfzt/Yc/4Iv6a3wH8Gab+15cfHjwXrVl8U/E3jjx/+zPoPx00rUv2e/ifd6d4pkufBHij4ieCfDF34t0DUtXbw/Z6FYSzeG/Evh+8k07R9OtdVhF0l21x69at9ZzHGTp1XRUW8XRxWIo+3oUViuN8pxE5LL6klSzGvPIMJjsPWwSlCpToYik6tVUnLFYXz6dOFHC0vaUvaxlVo4erhaNX2WIr06eTcZ1alKOOivaYCDx+ZZJVhjuV03isPKEYRqxVLF+06x8bv23f20v2ovjx8IP2WP2g/C/7H3gP9mT4c/CPWtR1HU/g34V+Mvir4reN/jZ4Mh8caTZasPHVqul+F/Cnh61tL/SY9V8OJJfrKH1Kex8TRava2vhX6p/Yk/ab+M/7bP7EXh74saBd/Dj4V/Hm41XW/Bes634h8B+I/id8KIvEvgXxgukeIda0/wAF6J8Tfhdr2u6L4m8P2lw+lw2XxN0yPw9r2pq8t94istCm03V5/wBo3/gmd8Ff2hfije/GfT/iX+0T+zr8S/EXhBfAfxC8UfsxfFJPhbdfFXwjbRWNvpeifEa3n8O+I7LXrTR7OwhsLTyLbT5LvTltbHWpNVtdH0GLSfsT4LfBj4bfs9fC/wAIfBv4ReGbXwh8PfA2mtpnh7Q7WW5uTCk1zPf315eX17LcX2papqupXd5qmranfXE95qGo3lzd3MryzMayoypRo4lOm6SqUqMKOHnN4qrDGxzjOMViMwWPkoTjhq+UYnK8up5e4JQqYT2jp0fYRr44qRqueGftFUlCUZVa0I/V6bwyyPKsJLBSwqTVWvLPcPmOarHOzjQxKoKcnXlhsHwnnaL/ANA/VP8AwcWn/wAo6/ge/wCDplrVv+CgfweNpDcQR/8ADHHw+DJcXMd05f8A4XX+0JlhJFa2ahCpUBDExBDMZCGCr/ebX8Ff/B0h/wApAPg//wBmd/D/AP8AV1ftB19Hwf8A8jun/wBgmM/9N0jweKv+RPP/ALCcL/6XUP2V/wCDWaTT1/4J+fGEXdrezyf8Nj/EEq9vfwWqBP8AhSn7PeFMcunXjFwwYlxKoIKqIwVLN/Sn52i/9A/VP/Bxaf8Ayjr+Z/8A4Nb/APlH/wDGD/s8T4gf+qV/Z8r+kyvP4g/5HeZ/9hcv/TdA7sj/AORPl3/YNH/0uuannaL/ANA/VP8AwcWn/wAo60tYl0gavqolsdSeQalfCR49VtY0Zxcy72SNtHlaNGbJVGlkKghTI5G48zWprn/Ia1j/ALCmof8ApXNXjnqh52i/9A/VP/Bxaf8Ayjo87Rf+gfqn/g4tP/lHWXRQB00Uukf2RfEWOpCMalpQdDqtqXZzbax5bLJ/Y4VUVRKHQxOZC8bLJGI2WXN87Rf+gfqn/g4tP/lHRD/yBdQ/7Cmj/wDpJrlZdAGp52i/9A/VP/Bxaf8AyjrmPG/inRfBvgvxf4v/ALD1TUf+EV8L6/4k/s//AISC0s/t/wDYelXep/Yvtf8Awjl19l+1fZfI+0fZrjyPM83yJtvltp1zHjfxJ/whvgvxf4v+xf2j/wAIr4X1/wASf2f9o+x/b/7D0q71P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y2wxMuTDYmftfYcmGxE/b8ntPYcmHrz9t7PX2nseT23s7P2nsvZ2fPY9HKKP1nN8pw31P+0frGbZVh/7O+sfVP7Q+sZnltD+z/rV19V+v+3+o/Wrr6t9d+s3X1e69N1WXSBcxeZY6kzf2bo5BTVbWMBDpFiYlKto8hLpGUSR9wEjq0ixxKwiTN87Rf+gfqn/g4tP/AJR0ax/x9w/9gvQ//TLp9ZdbnnGp52i/9A/VP/Bxaf8AyjrS0qXSDcy+XY6krf2brBJfVbWQFBpF8ZVCro8ZDvGHSN9xEbssjRyqpifma1NH/wCPub/sF65/6ZdQoAPO0X/oH6p/4OLT/wCUdHnaL/0D9U/8HFp/8o6y6KANTztF/wCgfqn/AIOLT/5R1pX0ukC20ffY6kynTZTEF1W1Uon9r6qCsjHR3EjmQSOHVYgEZI/LLRtLJzNamof8emh/9gub/wBPWsUAHnaL/wBA/VP/AAcWn/yjo87Rf+gfqn/g4tP/AJR1l0UAdNo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3DN87Rf+gfqn/g4tP/AJR0aH/yGtH/AOwpp/8A6Vw1l0AannaL/wBA/VP/AAcWn/yjo87Rf+gfqn/g4tP/AJR1l0UAdNLLpH9kWJNjqRjOpaqEQarah1cW2j+YzSf2OVZGUxBEESGMpIzSSCRVizfO0X/oH6p/4OLT/wCUdE3/ACBdP/7Cmsf+kmh1l0AannaL/wBA/VP/AAcWn/yjrS0eXSDq+lCKx1JJDqViI3k1W1kRXNzFsZ410eJpEVsFkWWMsAVEiE7hzNamh/8AIa0f/sKaf/6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVxvj74jfD34VeGbzxr8UPHfg34b+DdOms7fUPFvj7xPong/wAM2M+oXUVlYQXmveIb7TtKtZr69nhtLOOe7R7m6mit4VeWREKlKMVeUoxV0rykoq8pRjFXk4q8pSjGKveUpRjFOUoxk0nJ2inJ2btFOTtFOUnaKbtGMZSbtZRjKTajGUo+I1+Tn7fX/BFz9lz/AIKIfFDwj8dvjV49+Pvhfxd4e8BW3wlstO+F3in4d6J4cl8OeGvEPiDxjY3t1Z+LPhZ421N9bl1P4ha1Bd3MWsQWElha6XFDpsFxDd3V7+8vhbxV4X8ceHdH8X+CvEmgeMPCfiGxh1PQPE/hbWNO8QeHdc024G631HR9a0m4u9N1OxnUFobuyuZ7eUcpIwrxm58X/szeDf2h7+11H4kfC7w9+0v8V/Anw88EyeDNX+J+j2PxF8YeBfh5rXxU8TfD+y0b4a6l4jS8uLfTNY+JPxSvoNW0Lw2l/q66jewanf6jaeH9Lg0nqw+IxWCxMZYarVw+LfPSgoLlry5oKVSnCnKnKpKXs488oRoymoLncYwTmc1ehhsZh5LEU6dfDLkqzc3zUVafLCpKpGcYRXPLljKVWMXN8qcpNRPgf9gn9gn4P/8ABOz4P+JPgp8FPEnxK8UeFfFHxK1j4pahqHxS1jwvrfiCHxBrfhfwd4TurOzuvCfg7wRp0ejR6d4I0qe3t59KuL1L241CSTUJYJba2tPtyvT/AB58cPgt8LNa8L+G/id8X/hd8OfEXji4Nn4K0Hx54/8ACfhDWvGF2t3Z2DWvhfS/EGradfeILhb7UdPsjBpMF3KLu+s7cr511Aj+o1nVrVcVOpiatSVadSrONWu2pc1eCh7SEpxSh7WC5OeneM4Jxc6cLpy0p0qWHhDD0oRowp04yp0VePLRk5ckowk3P2c3z8k7OE2pKM5Waj8v1qa5/wAhrWP+wpqH/pXNX0ZRWRofL9FfQnibxP4b8F+H9Z8W+MfEOh+E/Cvh3TrrV/EHibxNq1hoPh/QtJsomnvdU1nWdUuLXTtM060hVprq9vbmC2t4laSWVEBIxvh/8Sfh18WPDVt4z+Fnj7wV8S/B95cXdnaeK/h/4q0Lxl4auruwma2v7W213w7f6lpc9xZXCtBdwRXTS20ytFMqOCoF7zmo+86ahKoo+86cajcacqijd041JJxpymoRnJOMHOSaQ/d5HL3VUco03LRVJQSlOMG7c8oRalNQ53CLUpqCab8oh/5Auof9hTR//STXKy63PiV4v/Zm+H3xc+F/jL4t/Ej4XfD/AOL8vhTx78MvhL/wnnxP0fwZrWu+G/iX4m+Fmq+OfD3hfwvrfiPS7PxZca14n+GvwuzcwaPqusaZd6bZ6dpN3p8Wv6ra6r2nxO+N/wAF/gnZ6VqPxm+L3wv+Een67c3Flol98TvH/hTwFZ6zeWkST3VppV14q1bSYNRubaCSOa4gtHmlhikSSRFRlJXNHlU+aPI6roKfNHkddNJ0FPm5HWTkk6Km6ybSdJNpN8r5nCz51TVZws+dUXdqs4W5lSaTaquKpNJtVGk2vL65jxv4k/4Q3wX4v8X/AGL+0f8AhFfC+v8AiT+z/tH2P7f/AGHpV3qf2L7X5F19l+1fZfI+0fZrjyPM83yJtvlt9f2l5aahaWt/YXVvfWN7bwXlle2k8VzaXdpcxLNbXVrcws8Nxb3ELpLBPE7xSxOskbMrAmxSrQq8lalGUqFbkrU4zlTvKhW5KtOMpUpqLcqNXllKlNRvKlKnNRvNR2wVbDU8VgsRiaCx2Dp4rB4jEYWNd0Y47B08Tha+Iw0cTSc5Uo4zCQr4eOJpOcqUcXHEUnKVOm5fOesf8fcP/YL0P/0y6fWXX1BRVGB8v1qaP/x9zf8AYL1z/wBMuoV3fgj44fBb4m+IfFPhL4b/ABf+F3xB8V+BriSz8beGfBHj/wAJ+LPEPg67ivrnTJbXxToug6tf6l4euItSsrzT5INWtrSVL60ubRlE8EsaZfx6k+B1v8PV1H9ojxJ4N8JfDTw545+Fnjp/EHj7xvb/AA98M6V43+GvxM8JfEj4XaheeJrrW/D9rFNpvxK8JeFNTs9LvNS/s7X7qyi0PVbDVdL1C90u8TlFQhUcoqnUjCdOo5JU6kKrUaU6dRtQqQqSlGNOcJzhUlKMac6jlFNpNznTSbnTlOFSCTc4TppyqQnBJzhOmk3UhOEJ00m5xgk2uEor2m3+Jnw4u/AH/C17X4geCLn4W/8ACPzeLP8AhZVv4r0GbwB/wittbSXlx4m/4TGO/bw7/wAI/BaRS3U2s/2j/Z0VtHJO9ysSMwi+HXxU+GHxg8PN4t+EnxH8B/FLwomoXOkt4m+HXi/w9438PLqtlHBLeaY2teGdR1PTRqFpFdW0lzZm5FzBHcwPLGizRlq5Zc1SHLLnoqDrQ5XzUlUfLTdWNuakpy92Dqxpqcvdg5y90nmi4wkpRcarlGlK65arhHnmqcr8tRwj701TlUcI+9JRj7x43WpqH/Hpof8A2C5v/T1rFfRlFIZ8v0V9QV5dpvxw+C2s/EjVfg5pHxf+F2q/F7QreS81v4V6b4/8J33xI0a0ht7O8lutV8D2urS+J9Ot4rTUdPupJ7vS4Ykt76znZhFdQM4tZRgtZyU5RgtZyjTjz1JRgrzlGnD36kowlGnD3qjhH3gekXN6Qi4RlN6QjKpLlpxlN2jGU5e7BSknOXuwU5e6cJof/Ia0f/sKaf8A+lcNZdeo/GzRPhX4n+DnxV8LfHK60Oz+C/iv4d+MvCvxYuPE3iWTwZ4fX4deJvD+oaF4yTWfFsGq6HceGtOn8P6hfwXWuWutaTd6XFI15a6lZXEMVxHd8I/Fv4U+P/BM/wASvAfxN+Hvjb4c20WqzXPj/wAI+NPDfiTwTbw6EJTrk0/irRtSvdCii0YQTnVZJL9U04Qym8MPlvhOUUqsnKKjQgqleTlFRo05c/LUrSclGjTlyTtUrSpU3yTtN8k+R8rbpxSblWm6dGKTcqtRct4UklerNc8LwpKpNc8LwXPHm8hor1n4Z/GP4RfGnSL7X/g58VPhx8WdB0vUTpGp638M/HHhjx3pGnasttBeNpd9qXhbVNVs7TUVtLq2ujZXE0dyLa4gnMXlTRs3o9U4yi7SjKLajJKUXFuMkpRklJRbjKLUoySalFqUXKLTcqUZXcZKSTcW4tSSlF2lF2btKL0lF2lF6SjF6HznN/yBdP8A+wprH/pJodZdfUFFIZ8v1qaH/wAhrR/+wpp//pXDX0ZRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX4sf8FCPD2g/FT/AIKE/wDBLf4I/E7Q9K8X/BrxLrv7Rvi/xF4G8UW+m6v4O8U+KvB3wzhuvCq+IPDeqW9zY60NOuJpEtrfUYbm0ni1S9slgb7XcLJ+09fKX7V37Hnww/a88P8Ag3TvG+vfEj4f+Lfht4oj8YfDP4t/Bnxe3gP4r/DvXWjS21G48J+Kf7P1aCzi1rT0Gn6rb3el30UkS295araatYabqNlGscVl2IdKNeGDzGjiqtCThH2lNYbNMNzR9rGdJ1cLUzChj6EasXCdbAxjeFR0ZxtWlh8woe0dGeMy3F4SlXipt0atZ4OcJNU5RqKFRYWphqkoSUo08U5K6U0fEH/BH+3Xwzp/7ePws8PWS2Hwt+FP7ffx18K/C7T7WYPo+g+HhNpNzN4X0G2jItrDSdJmaK8htLRI4Em1id1QM7E/jx8W/BPg7xj+x5/wVo/an8W6Bo93+0z8Ov8Agold6b4B+KV6ml3PxF8D6f4I+Jnwl0TwhonhXxUtuur6JpdppOr6nYxWGk3NrZ3VvZWSvDJ/Y9sYP6J/Av8AwT++GHws+E3w1+EXws+KX7Q3w203wF8XrT42+JfF/g34otpXj/45eNPNmn8QR/HXxGdDnTxz4e8ayyQnxdoNvYaHZX8dhp1tZDTbWzihHnHxI/4JQfsx/FD44a38Z9d1z406bo/jTxn4c+I/xO+APhz4kSaT+zr8WfiF4WaSTS/GnxD+HQ0e4udX1zz/ALJc3hsfEOlWF5c2QnmsGk1TxAdYqEGsRlzeJqRlhcoyHJZZlCMpYuhVyXFeH+Pr53h4VXKcqmPXDWZ5ZDDynHFxjQyytjalXC4zMKTaqxjHFy+rQlCvneLzz+zm6aw+IoYqPFmFWR4iSg6Cp8ucYPMa1aNCWC58VmNChQ9vhsNOp+TvxI8AeCv2jPi//wAFqvGP7Q/gnw94l8afBr9kX4QD4Unxdb6RrV98LJJvgD4p8d3Nz4Hub62ln8M36+NLG1vHv9Ke21AXF/fW09y/9r3ST/ux/wAE/wDxJ4m8YfsQfsn+JfGL3c3iTV/gD8L7rVLy/uJLu+1KQeE9Mit9XvLmZmluLnWLSO31SeWRmeSS7ZmJJryP9pr/AIJhfs/ftR/Ey6+KfiXxd8cvhrrfifwvpfgb4taR8FfiU3gHwv8AHjwRot7a3WleE/jDpA0XVj4j0ixgt30yI6XdaDqD6bOsM99LNpeg3Gk/fvhnw1oPgzw3oHhDwtpVpofhnwtoul+HfD2i2EflWOkaJotlBp2labZxZYpbWNjbQW0ClmIjiUFmOSdqFSMMHXpulHDyq/2VShg6LcsPSeW1uL6tfHQqNpupmMeIsFTlCop4mKwdd4qrVlHC1HyTpT9thn7R1/YrEVJ4upeNaaxOTcHZbDA8knOo6WGxPDmOx/PKq6Up46j7GCqyxtSW5RRRWRufjd/wWSUa94N/Yp+GGtg3Hw2+Lf7e/wCz94J+KWlTXUMGl+IfCE9/q17LoOtwSqRe6VdXdrBeywu32ZLjT7aedHaKEpnfsF+GdA+Ev/BR7/gp18FfhX4Y0fwd8GNFi/Zk8Y6X4P8ACdnZaL4M8JeMPE/w2ln1yDQfDekw2uj6I2vM1xPd29haW6KNGtodipAir+kP7Tf7M/ww/az+E2rfB/4rW+tpol7f6Zr2i+IvCmrNoHjTwR4u0KZrrw9408F68Le7XSfEug3TPNY3FxZX9hNHJcWOp6dqGm3d3ZT/ADl4E/4Ju/DD4a/Bz4r/AAv8GfG79qnRvGnxt8T6H4s+Jn7T1v8AGRh+1J4l1Pw5f2t1osVx8Ux4cEMFhZafbSeHvstv4ciFxoeoarDdPPf6jdag6wLeFnjJTj/EnnMlySV8dDO8Dwhl1CniLpOnHInkeYY2kpyqRrRrUKWDVLEV8VzVi1HExwcFKyjRyyjNzjJrBTyzPM7zitiqKTcqlTM8PmGHy2SpOlKCdeWKlUwtOlTl+S/x0+Gfw5+PP7RP/BdDxB8b/Cfh3xnr3wK/Zl+HNh8FL7xbbaRrN78OLKL4J+MvGkWp+BZ722lm8L303ivTrDUXvtKa11BZ9SvrWe5catdJP7fY/A74eftg/sY/s+arFof7M/xP/wCCiS/sJfDrT/CHhn9pvxt4g8VxaP8AC3XINMs9Y+JU/wAJ9P13Umstd1KC+u9R8KfFWTwO93aeNbzRLW98RppsDWqfcv7Rv/BLr4AftL/EAfEjxP44+PvgPXdd8HaJ8Pvi3afCX4ov4K0b9oPwV4euLKXS/DvxusP7D1NvFdnDDaPYyT6ZceH9QuLO6Kz3sk+m6DPpGp+0T/wTN/Z9/aCvPhtrdj4g+L/7PXi74V+BH+FHhnxx+zT46g+Gfiyb4Ttp0mmR/DHWb+60HxJban4Nt7aWVYLCSyjukjnu7Rr57C+vrO55Z4dvKKmXq3tJ0MDgISpv2fsKuXYLjnDyz6lKS0qZvV4ky+GZYW9PMnltTOaMMdDGxwGIWyrt5jHHJKDVXEY7lqr20HHF0OB6X9hVYU5RlVw+X1OHMwxmFr8zwMswjldX6r7Cpj08n/gkT4p8LeKf+Cdv7NDeEv8AhLRY+HPCOpeDNTi8a3dhqGs23ifwp4l1rRvFFrb3umRxWU/hu3162v4/BoSOOe28JLolnfImoW90o/SSvJ/gb8Efhr+zj8KfBvwW+EXh5PDHw+8CadJp2g6SLm5vpx9qvbnU9S1C/v72Wa7v9U1fVr6+1XU724kZ7m+vJ5AI0KRJ6xXsZjXhisfi8TTbcK9aVRScHT5m4UYznGm5SdKnOpTqSo0ZSnKjQlh6MpznSnOXm4Ki8PhaNBxcFSU406bqKtKlRdfFToUalaMKca9ajh61CjXxEadOGIxFKvXhTpwrQhEr5Q/bt8TeI/Bn7Fv7VXirwheXeneJtB+APxV1LRNRsLpLK+06/t/BurtDqNldurfZ7qw5u7eVAJUlhQwsk2x1+r6ydf0HRvFOha14Y8R6baaz4f8AEWk6joWu6RfxLPY6ro+rWk1hqenXsDfLNa3tlcTW1xE3EkUrqeDXjZjh54vAY3C03FVMTha9CDm2qblUp8qjUcVKSp1EpUarUZNUq9V8s7OE/VwFeGFx2DxNRScMPisPXmoJOfLSrU6jlTUmoupDlVSkpNRdWjSUmouTX8yPwD+GPw8+Bnxf/wCCDfi74I+C/Dvhjxb8cPgX8TbL40ah4VtNO0nU/iLp+ofBTwj4s1bVPHV1pkMF14nuNE8Qatq2rW1zrUl5NaSaZaWMciRaZbxQ/bv/AAUI8PaD8VP+ChP/AAS3+CPxO0PSvF/wa8S67+0b4v8AEXgbxRb6bq/g7xT4q8HfDOG68Kr4g8N6pb3NjrQ064mkS2t9RhubSeLVL2yWBvtdwsn0H+zn/wAEt/2e/wBmj4k2nxO8LeMvjz461Twp4d8SeEPg3oPxZ+KEvjbwp+z14W8WXN5NrehfBTSn0XTp/DNrc2t5/Zn2jV77xFqIsYizXz399q19qOv44/4JvfDD4k/Bb4bfCbxv8bf2p/EXi34P+NNU8efDP9pjUPjI0v7UHg7Xda1Ge71FdK+KX/COCA6dNp848PR2N34duYrXRbTTfsph1bStN1W09XE4iFbEYHE+x56eGz/NM9eDqOlalQzjMcynSymi2p4e+Q0cZQzKjVlT+pYjFUFhsJGlOMKq82hRlSw+Mw/tFCpiMhoZGsXT9pzTr4PDV5vNaiTjWtjpzp5S6Tk8dSwlOGJxNWUF7GH87njK68YaF8FPiL+zN8MvCeh698Jm/wCC6V38I/BHw88Qa7caZ8Mde8O+bc65onwf8Q2thHcInwul8YWmgapr2l2NjLEkcslzbwpeeRKv7I/8Eu/s3gH45fts/ADxj8APgZ8DPj38PtZ+DviL4mXH7Les/EW1/Z38e6T4y8IajqPgvUvBHwv8a6ncaZ8OdU0TRylp4ifQNJ0H/hKLq/jur/Tlm0xZJPpy3/4JnfswQ/srXX7Jc2n+OL7whfeJ5viNd/Ee88YXDfGqf4xy3P29PjW/j6GzgH/Cy4NQWK6i1EaONCeGJdIufD1xoEtxpM/pP7KP7F/ww/ZGtviDeeEvFHxU+J/j/wCK+t6brnxL+MXxz8an4h/FjxvLoNlJpvhqx1/xQNM0aG403w1p89zaaPBFpkEscVzMbue7kKOmWBawsK1GrUlXccrw+Dli2p+1zCvS4e4IyqlPWUa+GjhsZw5mc6zxlTGRxuW1stpU6WHxUcZUlpjb4mVOrSpqgnmFfFQwqlD2WChV4gzzNKzlywdHESxWBzHDwpwwlPCSweazxeIVaeBjDD1vrqiiisyzH8RXV1Y+H9dvbFPMvbPR9TurNA0aF7q3sp5rdN8qvEm6ZEG6VWjXOXVlBB/j8+E3g3wr4f8A2Jv+CZn7Wnhrwzo8v7VPj/8A4KYabF4z+JdtHp8fxJ8dDxd8U/ixo/iTwv4k8VW8Ka7q+j6tpmjaTb3Gk3l5LYxi9vLmO3jOrXLT/wBjZAIIIyDwQehHoa/MzwN/wSf/AGYvAHx00v406RrfxovdF8L/ABB1r4teAP2e9b+JD6j+zf8ADX4o68sTX/j7wN8Nzo0N1pXiBbsXOoWZuvEWoadY3V4UtNPis9N0K00kwf7jNaOKn7tKNTIazrx96tRhkvENXOsXhIU9JypZ1hakMBVlTqQjGVKP1qNTDcnszFfvstq4aC5qr/tiPsZaUq/9q8M47IsPVqTfNGLyvGYulmcE4SnL2C+rSp4r2c4eQ/8ABZJRr3g39in4Ya2DcfDb4t/t7/s/eCfilpU11DBpfiHwhPf6tey6DrcEqkXulXV3awXssLt9mS40+2nnR2ihKfmZ8c/2bvH3iXxx/wAFkP2UP2P/AAJaWXgjTrr9jD4oWvwb8Ay2HhLw7e3K6Fp3iX4geDfCWh6Z/Z2i6Vf+K7CzvNSOjWENs+qzeGLPRLW3nupbO0k/d3x5+wH8MPit8LPi98Jfit8Tf2gfiZonxU+Kl38YtF1zxp8Tm1bxd8C/F3nx3Xh6L4Ba0NEgXwD4f8E3Uby+E9BuLPXbC1jub2x1NNW02+u7KbjvCn/BLz9mjQvgP8cPgR4nvviv8XIf2jL+21j4w/Fr4t+P5vFnxt8Ya5o0kU/g3Wb7xzFpmlwi+8B3Nta3PhZE0UWKTQM2t2etrfaot9zUoTp0cVLliq0vr2NhTtSqQxeKzHC8BywuBxirQeHrUcgx3CuLa+sqeX5lRrQpUYYahmGYOHTOrCVfB6t0aaweCnN88XhqGCzniLGYjMsMqcliKeIzXLs7hhFHDzp43BTjVqValZ4bB06v5q/sM+M9Ff8A4Kptp/wb/ZB+I/7Fnwu8bfsSyyeL/hH8QPAGm/BrU/EfiLwN8RbG1sfipe/CzRruS1toY7nVZvBOheKL23ivfEI/tzUGK3N1qCL/AEhV8U/sq/sJ/C39lHW/F/jXR/HXxt+NXxR8a6ZpXhrV/i5+0T8Rpfib8RbfwNoKwvofw+0jVk0rQdO0rwdpd9HNqkFha6Qt7Pe3IW/1G8stO0Sz0v7Wr0q1SDo4OjCUqjw9LFKdWXtG5Sxea5pmUaUXWlKp7PC08wjh6abUI/vaVBfVKGDc/NoUpwnXnJKCmsBThCLg7rA5TgMtlWk6cYJ1MTPCOrOU1LEVPZ062KqSxNepDDlFFFcx0hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//2Q==
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACvn345ftafsrfswv4bj/aV/aY/Z9/Z5k8Yrqj+EE+OXxm+HPwmfxUmiGxXWn8Nr4+8SaA2uLpDappg1RtMF0LA6jYi7MRu7fzPoKvz7/wCCsX/KMX/goD/2Z/8AtB/+qx8SVMnLmoqLiufFYOjPmUn7mKx2XYFuHK1acHmMKq5rwkqE4NJ1Yzp9uXYWOOx2EwUpyp/XMRRw0akVGXsp16kKcakoStzwheTlCMoTl7qjONm39P8AwT/aN/Z6/aW8Pap4u/Zy+O/wZ+P/AIT0TWH8O614n+CfxQ8EfFXw9pHiCOztNRk0LVNa8C65r2m2GsJp9/Y376Zd3MV6tne2l0YBBcwu/stfl7+0345+MfiH9oT9mL9lz4d/tG+JP2TfDXj39nP9ov47+Ivix4E8KfBbxR498Ra38EL74DeGdA+H+kH4/wDw3+Lvw60/wlbWXxh13x18QtngVfGN9a+GfDsPhzxb4a0yLxS1/wDnfo37Yv7Wf7SHhr4feLF/bW0T9j6KL/gj34G/b319PB3ws+But+H/ABX8Uzq/xCstb8d6i/x08KfEfXdO/Zm+wadoOueOfCmgvo3jgaNqXgdND+LXwy1BfEH/AAmyxWIw2GpYjETlVp4bCvMpV5yh7accJk9LiGeZY9Qw0WpQhLhXO1Qy6M3m1b2OF5MPKOPwlapw5fTxGPw+WVIQpOvmuFyeth6EZygvrWfw4dqZZlzq14xjKpUjxNl/tcdGMsuoONeOInRxFP6pU/ov0Pxj4R8T6j4r0jw14q8OeIdW8Ca9F4W8caXoeuaZq2o+DfE8+g6L4qg8OeK7Kwuri58Pa9N4Y8SeHfEcWkavFZ6hJoOv6LrCW50/VbG4n6Ov5y/hl+3J+11+0HfeDvhxrfxM1n9my/8Aj/8AtsfCr4QXPj7w14E+EVx4u/Z78Kar/wAErvg/+2drHwg+Htj8VvB/jvwVdeOfHPxkvvFXh/Sta+LnhD4uappnhrVfFWi2Ni2sWnhC78Oft9+zfeajN8KtP0zWv2hvD/7UuueFfEvjzwVrXxm0LSfAmhXeuaj4R8b6/oEuheNdJ+GVy3gK0+J/giOxh8F/FA+FdH8FaNd+PNB1+/svhz8OYbpfBOhd2IwVfCzxNKuoQq4SrLDVIxqRrKpiMPPDUMf7OVFSVOjhsViqNKM8S6KxMakZ4WVaPK62UMRRrKlUoOc6denh8RByp1KThh8dg6OPwDqOrGEalXEYadWU6eHlUqYWdKVLFUqc05R1PjV+0R+z/wDs2eGtP8aftF/HP4O/ALwdq2tQ+HNK8WfGr4m+CvhX4a1PxDcWd7qNvoOn67461vQtLvdan0/TdRvodLtrqS+ls7C9ukgaC1neP1ewv7DVbCy1TS7201LTNStLa/07UbC5hvLC/sLyFLi0vbK7t3kt7q0ureSOe2uYJJIZ4ZElidkZWP58ftneMPAngL4k/CHU/A/wXtP2gv27/G3gX4wfCb9lz4ealruq6d4c0rwT4um8Bal8cfH/AMS72eW+8I/Dz4K+Fx4d+Htx8UfiPeeHNS8Zajb/APCP/Cr4d2vibxp8QtC8D+JPob9kP9n6D9lL9l/4Dfs3W3iaXxnH8Ffhh4T+HreKZNIs/D0euT+HtLhs7q/sPDunvNY+HNIluVmGieHbW4uodB0hbHSUvLwWf2qbloJ1KGJq1Fy8mIjRw04fwq8o1sTDFUIqf72pUwVCGBrYvFUlHBUsZj/7FiquPwmJrU96/wC7q4WnC7dXDzr14TX7ynTcKbw2I9z3KVHF4hYvDYWhXcsXiaOCr5tT9lgHCnV+jKKKKQgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5/xZ4S8KePfDHiDwT468M+HvGngzxbo+oeHvFXhHxZoum+I/DHibQNXtZbHVdD8QaBrFteaVrOj6nZTTWmoaZqNpc2V7ayy29zBLFIyHoK85+IF9e2X9k/Y7y6tPM+3+Z9muJYPM2fYtm/ynTfs3tt3Z27mxjJydvJprycZRnFrs4zhCcWrOM4QlFxlCEoOMpQlGcJShOLUoyhKUZRkndSjKMoyjJPVSjKMk9U09TB+Mv7Ov7Pv7RnhfS/BH7QnwK+Dfx38F6HrFt4h0Xwh8Zfhj4J+KHhfR9fs7K802z1zS9A8b6Hrmk6frFrp2oahp9tqdpaQ3sFlfXlrFOsFzNG/z78QP2AfgH8X/wBpy0/aE+Mvw7+EHxg0bw98HPhv8NvAHww+J3wY8GeOtM+HXiv4a+PvH/jTRvij4P1bxUusWug+IYrXx3L4f0xdF8NaXqWi29jJc2viGSPUGsLX1r+3Na/6DGqf+DC7/wDj1eMeO/2s/hN4C13/AIRDxP8AEvUtI8S6LZW6a3p66R44vDBcag0ur2RkvdN0W7sbp5dH1DTZhJBdTiNJEtpWjmgkhi9LKMkzjOsbTp5FlWZZrj8HUr5rGjlWDxWNxFCrPCvK6uZyo4SE5qvDD4pYaGPnH6xh5ToOji6NWnh5U/KzbOsmyPA+0zzNMsyjLsRCnlUauaYzC4HCVKTrU8fHLKdTFTp0lRq1MDGtPAU+WhXp0akauErUnVjL6O8b/s5/s9/Ezwx8QvBPxH+BHwa+IHgz4t+INL8WfFbwj43+F/gjxX4Y+J3irQ7Hw3pmi+JviFoGvaHf6V408QaPpvg3whp+l6z4ktNS1HT7Hwr4btLS5ht9D0yO17rwN4D8D/C/wf4d+Hvw08GeFPh54B8H6Va6F4S8D+BvDukeEvB/hbRLJPLstH8O+GdAs9P0XRNKtI/ktdP0yytbS3T5YoUXivgT/huH4F/9Fd1T/wAEHxG/+Z2j/huH4F/9Fd1T/wAEHxG/+Z2voI+HXiBFTUeB+LoqoqKqKPDmbxVRYeDpYdVFHCRU1h6TdPDqamsPTbp0FQpt034EvEfw+m4ynx1whOUHVcJT4kymcoOu6bruDli5ODrujRdZwcXWdGi6zqulSdL6V+N/7G37IP7TWr6J4g/aR/ZU/Zu/aC17w1ps2jeHNb+N/wADfhh8V9X0DSLm6a9uNK0TUvHnhfX73StNuL1mu5rGwmgtZbpmuJImlJevZvA3gPwP8L/B/h34e/DTwZ4U+HngHwfpVroXhLwP4G8O6R4S8H+FtEsk8uy0fw74Z0Cz0/RdE0q0j+S10/TLK1tLdPlihReK+BP+G4fgX/0V3VP/AAQfEb/5naP+G4fgX/0V3VP/AAQfEb/5naIeHPiBTjOFPgbi6nCpUdWpCnw5m1OFSq5Sm6tSEMJCFSq5ylN1KkJ1HOUpuo5SlKRLxH8PpyhOfHXCE504ezpznxHlE506fLGPs4Tni5ThT5YxjyQlCHLGMeTljGMf0mor82f+G4fgX/0V3VP/AAQfEb/5nau2v7cnwDWDUVm+LmpGSSyRLTd4d+IzkXA1CwkYxsPDbeU/2WO5BkJQFC8W4mQIx/xDrxA/6Ifi7/xHM3/+ZA/4iN4ff9Fzwh/4keUf/NZ+jNFfmz/w3D8C/wDoruqf+CD4jf8AzO0f8Nw/Av8A6K7qn/gg+I3/AMztH/EOvED/AKIfi7/xHM3/APmQP+IjeH3/AEXPCH/iR5R/81n6TUV+bP8Aw3D8C/8Aoruqf+CD4jf/ADO0f8Nw/Av/AKK7qn/gg+I3/wAztH/EOvED/oh+Lv8AxHM3/wDmQP8AiI3h9/0XPCH/AIkeUf8AzWfpNRX5s/8ADcPwL/6K7qn/AIIPiN/8ztH/AA3D8C/+iu6p/wCCD4jf/M7R/wAQ68QP+iH4u/8AEczf/wCZA/4iN4ff9Fzwh/4keUf/ADWfpNRX5zX/AO3J8A5J0a2+LmpCMWWnI2zw78Rox9oj0+1juyVPhtcubpZjJJgiVy0oZw4duem/bs+Dqa3p9hF8SNUm0i50vWLu+1z+z/H0f9nalZXehw6VpX9mN4bN1d/2za3+s3n26F1g07+wvs9yryapalMa/AXHOGjTliODOK6Ua2Iw2EpOfD2bJTxOMquhhqMf9k1qV6ydOnHeUlZHXguOOCcwniKeC4y4TxE8LgMwzTERhxHk96WAyvDRxmYYmV8Yv3eFw0o1qlry5X7qb0P06or82f8AhuH4F/8ARXdU/wDBB8Rv/mdo/wCG4fgX/wBFd1T/AMEHxG/+Z2tv+IdeIH/RD8Xf+I5m/wD8yHJ/xEbw+/6LnhD/AMSPKP8A5rP0mor82f8AhuH4F/8ARXdU/wDBB8Rv/mdo/wCG4fgX/wBFd1T/AMEHxG/+Z2j/AIh14gf9EPxd/wCI5m//AMyB/wARG8Pv+i54Q/8AEjyj/wCaz9JqK/Oa1/bk+Aawais3xc1IySWSJabvDvxGci4GoWEjGNh4bbyn+yx3IMhKAoXi3EyBGpf8Nw/Av/oruqf+CD4jf/M7R/xDrxA/6Ifi7/xHM3/+ZA/4iN4ff9Fzwh/4keUf/NZ+k1Ffmz/w3D8C/wDoruqf+CD4jf8AzO0f8Nw/Av8A6K7qn/gg+I3/AMztH/EOvED/AKIfi7/xHM3/APmQP+IjeH3/AEXPCH/iR5R/81n6TUV+bP8Aw3D8C/8Aoruqf+CD4jf/ADO0f8Nw/Av/AKK7qn/gg+I3/wAztH/EOvED/oh+Lv8AxHM3/wDmQP8AiI3h9/0XPCH/AIkeUf8AzWfpNRX5s/8ADcPwL/6K7qn/AIIPiN/8ztXdR/bk+AcmoX8lp8XNSFrJe3T2wj8O/EaJBbtPI0ISI+G0MaCMrtjKKUGFKrjAP+IdeIH/AEQ/F3/iOZv/APMgf8RG8Pv+i54Q/wDEjyj/AOaz9GaK/Nn/AIbh+Bf/AEV3VP8AwQfEb/5naP8AhuH4F/8ARXdU/wDBB8Rv/mdo/wCIdeIH/RD8Xf8AiOZv/wDMgf8AERvD7/oueEP/ABI8o/8Ams/SaivzZ/4bh+Bf/RXdU/8ABB8Rv/mdo/4bh+Bf/RXdU/8ABB8Rv/mdo/4h14gf9EPxd/4jmb//ADIH/ERvD7/oueEP/Ejyj/5rP0mor82f+G4fgX/0V3VP/BB8Rv8A5naup+3J8Axp91G3xc1L7U17YPCT4d+IxcW8cGorchZf+EbIRDJJab4y6mQiNgreUSh/xDrxA/6Ifi7/AMRzN/8A5kD/AIiN4ff9Fzwh/wCJHlH/AM1n6M0V8m+DvibbeP8Aw3p3i7wj4p1TVvD2rfbP7P1DzNasPtH2C/utMu/9E1OOyvovKvrK5g/f20fmeX5ke+F45H7jR9Y1eXV9Kil1XUpI5NSsY5I5L66dJEe5iV0dGlKsjKSrKwIYEggg18nicNiMHiK+ExdCthcVha1TD4nDYinOjXw9ejN061CvRqKNSlVpVIyhUpzjGcJxcZJNNH1uGxOHxmHoYvCV6OKwmKo08RhsTh6kK2HxGHrQVSjXoVqblTq0atOUZ06kJShOElKLaaZ71RRRWJsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRX8v/xk/wCC+3ibwJ8c/ibZ+G7P9nVfg98Ifixf/Da/+FPiiy+P15+0v8VdI8M+IIfD/ibx38PfGvhjwpc/s8+GdNumlvdR0TRfHGvR6qlr4f1CO4+1zapo3n+sftmf8FfPjr8H/wBqHxF8E/g/afsr+D/D2g+D/hV4g8Ip+1Cvxf0DX/jzP8R9FXxM978P/H2gXOgfBn4baBplleWfh+71T42+KvCOh6drVpf3114lmVNR0TQM6FWGIoYHEUm3RzCbjQm09I/UaGZ06tSMeaSp18vxNLF0FS+s16lL2sfqtOth8TQw11ac6FbG0KiSq4Cm5143WrjjVl1SlTb5VKpSx8lhKjmqFCNV8yxU6P78/ooor+er4nfGD9rTWf8Agq1+zPr/AIa1f4K6T8Lbr9kO2+L7eDfEfjTxt4s0DQ/hJrF7od98dNWs77wTfz+A9f8AjLH9m1PS/hx4z8PmTwLr/hnT/D02tX81ocjxT4N/8F9/E3j745/DO38R2X7O9v8ABz4sfFnTvhrafCPw1pv7Qcv7T/w10jxLrU/hzw74+8aeM9a8I2n7PnibSoLyOw1jV9C8F6tP4gfS9fsLG0tU1HTtWeDfD054irhsLFKONxOKzPCfVXJOVGpl+fYnh2kqlSN4t47MsJiKGGdONSmqsYwrVKEJLFTxr1IUKNXFNuWEpYTLsYsRFNKdPH5LDPpqMJcsovB5dUhiK6nKEnS5pUo1azp4Op/UBRX8v/xk/wCC+3ibwJ8c/ibZ+G7P9nVfg98Ifixf/Da/+FPiiy+P15+0v8VdI8M+IIfD/ibx38PfGvhjwpc/s8+GdNumlvdR0TRfHGvR6qlr4f1CO4+1zapo3n+//G3/AIKR/tyJ8Xv23fDX7Nfw9/Zd1n4W/shfDb4e/Ge68WfFqL4o2XiPU/AniP4Yw+OtR0G30bw34rto/EHjLWpLme78PXEg8E6DoWl+H77Ttdk1HVNY024t+elXp1cLQxsZWwtehXxXtpJqFHC4fB4DMZYrEOPP7KhPL8ywmMpSXtpzpSnCVGliqU8EuidGpDFVsHJJYijWoYZ07q9TE4jHVMtjh6OidSrDMKcsJUXLTgqrTp1cRS5q0P6Aa8v+JP8AzBf+4j/7YV+Sf7Pn/BR79qTx7+0t+yP4S+MXwe+CPgv4G/t0/Cjxn8QfglY+AfFfjPxd8V/A8vgzwha+LHk+J3iXWrPw34Q1S31m1tb17XSPDHg60msIPEGjrc67PeaDqttqv6h+JPEGra54v8Q+GtU8DeKfBui+Ef7J/wCEf+IPiS78E3XhD4o/2/pcF/qv/CCWXhDxh4r8faf/AMITdwx6J4n/AOFm+CPh19r1S6gl8Gf8Jdoq3Or23XUoVaUYSqR5eepjKLg2nOlXwGMlgcZh60U37Oth8TGMJw5qitUpyjUlecaXLTrU6snGDbaoYPEpuLUZ4fH4eWJwtam38cKkKdeF7RtVw9aHK1GFStzFfhj+2L/ycd8Rf+5R/wDUE8MV+8X9n2n/AEHNL/7861/8p6/CL9syNIv2k/iRHHPFcov/AAh+JoROsT58BeFmO0XENvMNpJRt8KfMpK7k2s39IfRY/wCTgZv/ANkjjv8A1b5KfzX9Kr/k32T/APZX4D/1UZ0fMFFFFf30fwAFFFFABRRRQAUUUUAFFFFABRRRQAUmeQPUE/kQP60tJnkD1BP5ED+teZmtf6vSwUvr31D2uc5LhvafVvrP1n61j50f7N5bP2P9p2+qfW9PqfL7e8b3Pd4fwn1zEZpD+yf7Y9hwzxRjvY/XfqH1H6hlFPE/257Tmj9Z/sLm/tH+zrv+0uf6ryy5bC0UUV6Z4QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH7nfsdf8m4/Dr/ubv/U78T19XaH/AMhrR/8AsKaf/wClcNfMH7Gdnby/s2fDeSTVbC2dv+EwzDNHqjSpjx74pUbjb6bcQncAHXZM/wArANtfcq/WOj2Nqmr6U66xpsrLqViyxRxauHkK3MREaGXSo4w7kbVMkkaAkb3VcsP8ofEX/k4HHH/ZXcR/+rfFn+svhz/yb7gb/skOHP8A1UYQ96ooor40+zCiiigAooooAKKKKACiiigAooooAKKKKACiiigD8gJ/+CXXxH8O/Ez4iSfBT9ub4w/AX9mj4vfF9fjV8R/2f/hx4W0vRvFFx4tv7uz1DxVbeBvj/pfiPSvHHw60PxLeWFtFc6XoGktEukiTSr9tVjaOaJ/7Zv8AwS/+IX7VXjrxZrOh/tha/wCDfhp490rS7fxH8GPiz8FvBv7Ung/wzr2n6LfeGZ/FXwOk+K/iBH+AmvanoN/cLeaz8OrWw8RjXLi71yDX4mezsrD9fKKzjSpxo4XD8ilRwTSoU6l6qVOOHoYOnQquo5Sr4ahhMLhsLhcNWm6WFw+Ho08K8O6car0dWo62Ir8zjVxWtWcLQ/ePEvGTr04wUYUsTWxcp4nEYinD2uJrTqTxHt41J0ZflT4r/wCCY32T4kfsn+PPgX8f9b+Eln+zX8GbL9nTxDoHiH4deHPiuPjD8E4r6wl1XwlrV3rGreH9P8N6l4l05db07WvEFhoOpSxyataX+hWGiT6PClzg/Ab/AIJkfFP4DeMPAfh/QP28PjUf2SPhT8Q9Y+Ifw8/Zi8P+G9O8DX0E1/qd9rVl4P8AHHxq8N+JIfFXxC+HkGq6leXOreB9Y0K28O69E6QzWFo4mnn/AF0orohVqQrPEKcnWliMZipynaoqlbHY6eZ15Vac06VSMcyq1sfhaVSlKjgsZXxFfCUqUq9aE+eVKnKjHDuKVKNDDYaMY3g4UcLhZYGmoVItVITngZPBYitCpGtisGoYfEVZwp05Q/ICf/gl18R/DvxM+IknwU/bm+MPwF/Zo+L3xfX41fEf9n/4ceFtL0bxRceLb+7s9Q8VW3gb4/6X4j0rxx8OtD8S3lhbRXOl6BpLRLpIk0q/bVY2jmi9R13/AIJ2DWvHn/BQnxsvxga1H7eHwq8NfDIaY/gJ7t/hUPDvw91DwGNbbUZPHEb+PGvBff2q1g9t4ReIxGzbUbgyG9T9LqK5vY0/q0cJy3oQweKy+MZSlKawWMwuAwNXC+2k5VnRp4LLMBg8LB1bYLDYWlRwqpxTk+j2tT6xLFKVq08VhcdKSSUXi8HjqmZUsR7KKjSVWeYVquMxM/Z82Mr1JzxLqKTg/wA1fD3/AATw/sH4kf8ABPD4g/8AC3/tf/DBPwf8R/Cj+yP+Ff8Akf8AC1v7f+GVh8Of7e+3/wDCbTf8IL9k+w/2x/Zf2Lxj5/m/2f8A2jDs+3P9tfEn/mC/9xH/ANsK9Qry/wCJP/MF/wC4j/7YV11a9Wu5urLmdTF5jjZvlir4rNcdPMsfV91K3t8bUnW5FaFK/s6UYUkoLnhSp03FwjZwwuDwcdW7YbL6VajhKerd/ZU8RWjzv35896kpSjFry+vwx/bF/wCTjviL/wByj/6gnhiv3Or4i+Nf7Ev/AAtL4har8Rf+Fm/2F/wllrpdz/Y//CGf2n9g/sfT7fwxs/tD/hK9P+1faP7D+3bvsNt5P2r7Ntl8j7RN+1+AXGHDvBXGGZZrxNmH9m4Cvw5i8BSr/VcZi+fF1cxyyvCl7PBUMRVjzUsPWlzygqa5OVyUpRT/ABD6QHB3EfG3B2W5Vwxl39pY/D8R4TH1aH1rB4TkwlLLs0oTq+0x2Iw9KXLVxFGHJGbqPn5lFxjJr8dKK/TT/h3R/wBVi/8AMe//AIcUf8O6P+qxf+Y9/wDw4r+u/wDiYDwk/wCir/8AMJxB/wDOs/kD/iX3xc/6JP8A8zfD3/z0PzLor9NP+HdH/VYv/Me//hxR/wAO6P8AqsX/AJj3/wDDij/iYDwk/wCir/8AMJxB/wDOsP8AiX3xc/6JP/zN8Pf/AD0PzLor9NP+HdH/AFWL/wAx7/8AhxVq3/4Jv+fFfS/8Ll2fYrVLnb/wrvd5m+9s7PZn/hORsx9r8zdh8+Xs2jfuU/4mA8JP+ir/APMJxB/86w/4l98XP+iT/wDM3w9/89D8waK/TT/h3R/1WL/zHv8A+HFH/Duj/qsX/mPf/wAOKP8AiYDwk/6Kv/zCcQf/ADrD/iX3xc/6JP8A8zfD3/z0PzLor9NP+HdH/VYv/Me//hxR/wAO6P8AqsX/AJj3/wDDij/iYDwk/wCir/8AMJxB/wDOsP8AiX3xc/6JP/zN8Pf/AD0PzLor9NP+HdH/AFWL/wAx7/8AhxR/w7o/6rF/5j3/APDij/iYDwk/6Kv/AMwnEH/zrD/iX3xc/wCiT/8AM3w9/wDPQ/MukzyB6gn8iB/Wv0/vP+Cb/wBklSL/AIXL5m+1sbnd/wAK72Y+22VvebMf8Jy2fL8/y92Rv2b9qbto467/AGDPsvjTQPCH/C1fM/tzwv4v8Sf2h/wg237L/wAIrqvgjTPsX2T/AITBvP8At/8AwmXn/aPtMP2X+zvK8i4+2eZa8WO8f/Cp08N7Hjb6nJZjlzqT/wBXc+xH1igsVJ4jAcssrtS+v0rYb6yvfw3L7aHvM9fJvo9eK862PVbgD+1YxyHP6lOl/rPkOC+pYinlsJYfOeeOap4j+xqt8f8AUH7mYc/1aacYn55UV+mn/Duj/qsX/mPf/wAOKP8Ah3R/1WL/AMx7/wDhxXb/AMTAeEn/AEVf/mE4g/8AnWeR/wAS++Ln/RJ/+Zvh7/56H5l0V+mn/Duj/qsX/mPf/wAOKP8Ah3R/1WL/AMx7/wDhxR/xMB4Sf9FX/wCYTiD/AOdYf8S++Ln/AESf/mb4e/8AnofmXRX6fW//AATf8+K+l/4XLs+xWqXO3/hXe7zN97Z2ezP/AAnI2Y+1+Zuw+fL2bRv3LV/4d0f9Vi/8x7/+HFH/ABMB4Sf9FX/5hOIP/nWH/Evvi5/0Sf8A5m+Hv/nofmXRX6af8O6P+qxf+Y9//Dij/h3R/wBVi/8AMe//AIcUf8TAeEn/AEVf/mE4g/8AnWH/ABL74uf9En/5m+Hv/nofmXRX6af8O6P+qxf+Y9//AA4o/wCHdH/VYv8AzHv/AOHFH/EwHhJ/0Vf/AJhOIP8A51h/xL74uf8ARJ/+Zvh7/wCeh+ZdFfpp/wAO6P8AqsX/AJj3/wDDirV9/wAE3/sV7eWf/C5fM+yXVxbeZ/wrvZ5nkSvFv2f8Jy+zfs3bdzbc43HGSf8AEwHhJ/0Vf/mE4g/+dYf8S++Ln/RJ/wDmb4e/+eh+YNFfpp/w7o/6rF/5j3/8OKP+HdH/AFWL/wAx7/8AhxR/xMB4Sf8ARV/+YTiD/wCdYf8AEvvi5/0Sf/mb4e/+eh+ZdFfpp/w7o/6rF/5j3/8ADij/AId0f9Vi/wDMe/8A4cUf8TAeEn/RV/8AmE4g/wDnWH/Evvi5/wBEn/5m+Hv/AJ6H5l0V+mn/AA7o/wCqxf8AmPf/AMOKtJ/wTf32Vxef8Llx5F1Z23l/8K7zv+1xX0u/f/wnI2+X9i27dp3+ZncuzDn/ABMB4Sf9FX/5hOIP/nWH/Evvi5/0Sf8A5m+Hv/nofSH7HX/JuPw6/wC5u/8AU78T19XaH/yGtH/7Cmn/APpXDXj3wc+HP/Cpvhx4c+H39s/2/wD2B/a//E3/ALP/ALK+1/2rr2qa3/x4fbtS8jyP7S+zf8fs3m+T537vzPKj9h0P/kNaP/2FNP8A/SuGv8+eNMwwmbcYcVZrl9X2+AzLiPOsfgq/JUpe2wmLzHEV8PV9nWhCrT9pSnGXJVhCpG/LOMZJpf6GcFZfjMp4O4UyrMKP1fH5bw5kmAxtDnp1fY4vCZdh6GIpe0ozqUqns6tOcOelOdOVuaEpRab+jKKKK+ZPpgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAor5K/aq/bI+HP7Jlt8P7TxN4N+LvxW8e/FbWdY0b4b/CD4DeA5fiP8VPGTeGtMXWfFeo6L4aGo6PbzaX4V0qW31DXJ5tUgmgtriOS2trsJP5PzVqf/AAV3/Zf0f9nLw/8AtL6j4a+N9r4Y1P4+H9mvxN4Dm8BaXD8Wfhn8VYrXVtQvdG8feDJvFka2w07TdKS+u7fw1qvifV9up6dY22k3OrjUdO0+YzjNVJQfOqVahh58qlJqvicTRwdGlGMYOdWU8ZiMPg/3EMRGGLxGHwladHFV6OHq1KEoSpRmuV16dWtS5nGKnSoYfGYurUcpSjCEY4XL8fiU6s6LqUMFi6tFVqeHrTp/qVXl/wASf+YL/wBxH/2wr8e9O/4Kt/E7xb+3h8BPgfafso/tc/Dr4V+PPh/eXWueDfiB+z3ZaN8W5/EviLxfZ+GdI+JGvWw8ca2NA+BfgO1WW78V+ILUabqukXb6lLq1pqtlHYW0P6t+JPHPgnxl4v8AEPw+8IeMPC3ivx98Lv7J/wCFm+CPDfiDSdc8X/Dr/hNtLg1vwZ/wnfhrS7u61rwj/wAJdotrc6v4Y/4SCy0/+39Ltp7/AEr7XaQySrpGE3h6WJ5eWnWrY6hC7hzc+AxSwlfmjGc+VOo+andtunrL2dTmoUs3OKrzw971KdHCV5WUuV08ZRlXpWk4xu4xjyVFZWm/c9rStiJcxX8o/wDwUp/5PW+NP/dOf/VTeBK/rM/sPWv+gPqn/gvu/wD4zX8nH/BTCCe2/bb+NcNxDLbzJ/wrjfDNG8UqbvhJ4Cdd0cgV13IysuQMqwYcEGv3P6Pv/JZZl/2TeL/9WWVn4Z9IL/kjct/7KTCf+q3ND4Sooor+wz+PAooooAKKKKACiiigAooooAKKKKACtKLTvN0e/wBW87b9i1PSdO+z+Xnzf7UtdaufO83eNnkf2Rs8vy3837Ru3x+Ttlza0otO83R7/VvO2/YtT0nTvs/l583+1LXWrnzvN3jZ5H9kbPL8t/N+0bt8fk7ZfPzKt7ClhJfXPqXtM1ynD8/sPrH1j6xjZUv7P5bP2X9oW+rfWtPqvL7a6vc9rIsL9br5lD+zP7V9hw7xJjfZfXPqX1L6llVPEf2zz80frH9i3+v/ANn6/wBoc/1blly2M2iiivQPFCiiigAooooAKKKKAP6RP+CPX/Js/jn/ALLp4m/9QD4ZV+rlflh/wRy07ULz9mTx1LaWF7dRr8d/E8bSW9rPOgcfD/4YMULxRsocKysVJyAykjBGf1j/ALD1r/oD6p/4L7v/AOM1/AXid/ycHi//ALHVb/1Fy0/v3wx/5N9wh/2JaP8A6lZkZdamuf8AIa1j/sKah/6VzUf2HrX/AEB9U/8ABfd//Ga0tY0fV5dX1WWLStSkjk1K+kjkjsbp0kR7mVkdHWIqyMpDKykhgQQSDXwh92czRWp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNAGXRWp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M0AZdakP/IF1D/sKaP8A+kmuUf2HrX/QH1T/AMF93/8AGa0otH1caRfRHStSEj6lpUiRmxug7JHbawsjqnlbmSNpYldgCFMkYYguuQDma1ND/wCQ1o//AGFNP/8ASuGj+w9a/wCgPqn/AIL7v/4zWlo+j6vFq+lSy6VqUccepWMkkkljdIkaJcxM7u7RBVRVBZmYgKASSAKAPeqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPyA/4Ke/Bn9rz4reLfgJJ8Gfh/wCK/j7+zvp9r8RdH/aG/Zr8EftJxfstXvxRj8S6NBp+gp4y8fPf6VNrXgK2T7XFqXhmyvLi5upXe3bTjbanPqWm/n18Lv8Agmx+1V4F/Zs8F/ByX4C6Fouo+Ev+Ctvgn9oybRfDvxT8IeJfCS/s+aJoMGlS+KNB1nxb4qtPEGpaPocNrFpNnovia0tPiXq9jDbahf8Ahh7+4vUi/qEoowf+xVPaUvfm8fhce5VNZSqYPOssz7DUqko8sqtKhjcspU6CqSlPD4KviMHhpUKUoykYr/a4KFT3Yxw1bCqMLqKWIybPMirVYwlzQp1amCz7FTqunGMa2MoYTF1va1aUon5Q/tHfCP8Aab0L/go/+zT+1V8GPgtYfGr4d2fwd174D/FGE/Evwf8ADzUPh3pviPx3b6tdeO2j8VXIuvE0Gm6ZqMuo22g+HNO1K/1M6JqGmTSaTPe6XdT/AKHfEn/mC/8AcR/9sK9Qry/4k/8AMF/7iP8A7YUqS9lhaWEXvQo4nMMRTnL+JFZljHj69G65YulDFTq1aTlF1YqtOE6s6caUaZU/eYieIfuzqYbA4ecY/BL6hh3hKFazvJVXhuSjUUZKlJUozVONWVSc/L6/lH/4KU/8nrfGn/unP/qpvAlf1cV/P1+3H+w1+1L8Wv2nviR8SPh98Lv+Eg8F+KovBk2gaz/wm3w60r7fFo/gPwx4a1Fv7O1vxdpurWv2bW9E1Oy23tjbtN9m+0wCW0mt55f2fwNzTLMp4szDE5rmOBy3Dz4fxVGFfH4qhhKM60sfls40o1K86cJVJQpzmoJuTjCUkrRbX4z45ZXmebcJ5fhsqy7HZliIcQYWtOhgMLXxdaFGOAzKEqsqdCFScacZ1IQc2lFSnGLd5JP8ZKK+6P8Ah2t+2t/0Rf8A8yN8Jv8A5u6P+Ha37a3/AERf/wAyN8Jv/m7r+q/9duDf+is4b/8AD3lv/wA0H8qf6k8Zf9EnxJ/4ZMy/+Zz4Xor7o/4drftrf9EX/wDMjfCb/wCbuj/h2t+2t/0Rf/zI3wm/+buj/Xbg3/orOG//AA95b/8ANAf6k8Zf9EnxJ/4ZMy/+Zz4Xor7o/wCHa37a3/RF/wDzI3wm/wDm7qWP/gmf+23Kk8kfwU3JbRCaY/8ACx/hINkTTw24bDePAWzNcRJtQM3z7iNisyn+u3Bv/RWcN/8Ah7y3/wCaA/1J4y/6JPiT/wAMmZf/ADOfCVFfdH/Dtb9tb/oi/wD5kb4Tf/N3R/w7W/bW/wCiL/8AmRvhN/8AN3R/rtwb/wBFZw3/AOHvLf8A5oD/AFJ4y/6JPiT/AMMmZf8AzOfC9FfdH/Dtb9tb/oi//mRvhN/83dH/AA7W/bW/6Iv/AOZG+E3/AM3dH+u3Bv8A0VnDf/h7y3/5oD/UnjL/AKJPiT/wyZl/8znwvRX3R/w7W/bW/wCiL/8AmRvhN/8AN3R/w7W/bW/6Iv8A+ZG+E3/zd0f67cG/9FZw3/4e8t/+aA/1J4y/6JPiT/wyZl/8znwvWlFp3m6Pf6t5237Fqek6d9n8vPm/2pa61c+d5u8bPI/sjZ5flv5v2jdvj8nbL9tzf8Ez/wBtu3cRy/BTY7RQTAf8LH+EjZiuYI7iFsr48YfPDLG+0ncu7a4Vwyig/wDwTq/a8hvrfRJ/hT5XiPULS81TStG/4Tn4Yyfb9E0eawtPEGp/2injc2Fr/ZN/rnhq1+xXMqXd/wD2159lHLDpt+0PDj+OeEIU8M4ca8O4VyzLLKcpwzLLsU61Opi5RqYOUFXl7GGNhahPGOywcV7eUop3PYyXgPi+vXzCM+AuIsyVPIOIMRGlPA5jgFhKmGyyFWnm0ajox+szymb+uwy1NvMpS+qRhNx5T4hor7o/4drftrf9EX/8yN8Jv/m7o/4drftrf9EX/wDMjfCb/wCbuu7/AF24N/6Kzhv/AMPeW/8AzQeP/qTxl/0SfEn/AIZMy/8Amc+F6K+6P+Ha37a3/RF//MjfCb/5u6P+Ha37a3/RF/8AzI3wm/8Am7o/124N/wCis4b/APD3lv8A80B/qTxl/wBEnxJ/4ZMy/wDmc+F6K+7Y/wDgmf8AttypPJH8FNyW0QmmP/Cx/hINkTTw24bDePAWzNcRJtQM3z7iNisyxf8ADtb9tb/oi/8A5kb4Tf8Azd0f67cG/wDRWcN/+HvLf/mgP9SeMv8Aok+JP/DJmX/zOfC9FfdH/Dtb9tb/AKIv/wCZG+E3/wA3dH/Dtb9tb/oi/wD5kb4Tf/N3R/rtwb/0VnDf/h7y3/5oD/UnjL/ok+JP/DJmX/zOfq5/wR6/5Nn8c/8AZdPE3/qAfDKv1cr8+v8Agm58D/ih8Avgb4q8HfFrwx/wifiPUvivrniWy07+2vD2u+dol54Q8C6XbXv2vw1q2s2EfmX+jalB9mluo7tPs3myQLDNBJL+gtfxD4iYrDY7jninF4LEUMXhMRm1Wph8ThqsK+Hr03h8viqlKtTlKnUg5QmlKEmm4SV7xdv7e8O8LicDwNwthMbh6+ExeHymlTxGGxNKdDEUKixGYSdOrRqRjUpzUZwbjOKaU4u1pK5Wprn/ACGtY/7Cmof+lc1Zdamuf8hrWP8AsKah/wClc1fGH2Zl0UUUAFFFFABWpD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuUAZdamh/8hrR/wDsKaf/AOlcNZdamh/8hrR/+wpp/wD6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFeE67+0Z8MtA/aB8G/syXV7q0/xZ8bfDzxL8U9P0q00i4bS9P8E+GL6LS7jVNV1u4NtYJLqGpvPY6bp2nyajqJks7ifULbT7J7S6uonUhTtzyUeZVXFO92qGGxeNrtJJtqjhMDjMTUaT5KOGrVHpG0nZ8s529ylGM6kvswjKth8PGUn0Uq+Kw1GP81SvSgk3LT3aivmj9kr9qn4e/tlfBrTvjh8MNG8ZaF4T1PxB4n8N2+n+PNP0TS/ESX3hTV59G1GWa08PeIvFGmraTXVu8llImrSTSW5V54LaQmJfpetpwnTajOLjJwpVEnu6dejRxFGejelShiKFWPVwqwbUW3GK2lUj9qlWr4eousK2FxGIwmIpS/v0cThcRRmk2lOjNKUklKRXl/xJ/wCYL/3Ef/bCub1r9or4Z6H+0J4K/Zhub3VZ/i145+H3iT4o6dpdrpFy2laf4K8NahDpM+q6trc5t7FJdQ1SSex07TtPfUtRMlncT6ha6fZvZ3N10nxJ/wCYL/3Ef/bCoi1KnGrH3qc514QmtYTnhqzw2IjGW0nRxCdCpa6jVjOF3KE1EfuzlTlpOMKM5QfxRhiKXt6EmuirUf3tO/xU2p2SlHm8vr+NH/grF/wVk/4KA/s3/t9fHT4IfBf4+/8ACGfC/wABRfC6Hwn4Y/4VX8FfEX9kxeJfg78P/Gutr/bXiv4ca74hvvtvibxLrep7tS1a8a2+2/Y7QwafbWlpB/ZdX+d3/wAF0/8AlKh+1J/3RH/1nT4RV9rwLhcLjM2xFPF4ahiaccvqzjTxFKFaCmsRhoqajUjKKkoyklJK6Umr2bPjeOMVicJlWHqYXEV8NUlj6UHOhVnRm4OhiZODlTlFuLcYtxbs2k7XSD/h+n/wVQ/6Ok/8wl+zp/8AOio/4fp/8FUP+jpP/MJfs6f/ADoq/JOiv1f+w8l/6FGWf+EOG/8AlZ+Wf21nH/Q1zL/wtxP/AMsP1s/4fp/8FUP+jpP/ADCX7On/AM6Kj/h+n/wVQ/6Ok/8AMJfs6f8Azoq/JOij+w8l/wChRln/AIQ4b/5WH9tZx/0Ncy/8LcT/APLD+wb/AIIbf8FJP20v2w/2sviF8M/2jfjN/wALF8EaH+zt4t8daVon/Cu/hR4R+y+KtM+JXwk8P2Oq/wBpeBfAvhjV5/I0jxPrlp9hub+bTpft3nzWclzbWc1v/V9p/wDx6a5/2C4f/T1o9fwu/wDBs7/yfd8Wf+zSfHf/AKuP4DV/dFp//Hprn/YLh/8AT1o9fj/GuGw+Fz2pRwtCjhqSweCkqVCnClTUp06zlJQgox5pNJydrtpX2P1vg3EYjFZHTrYmvWxFV4vGRdWvUnVqOMalJRi5zcpWim1FXsk3bcy6KKK+TPqgooooAKKKKANTWP8Aj7h/7Beh/wDpl0+uEu/En2XxpoHhD7F5n9ueF/F/iT+0PtG37L/wiuq+CNM+xfZPIbz/ALf/AMJl5/2j7TD9l/s7yvIuPtnmWvd6x/x9w/8AYL0P/wBMun1wl34k+y+NNA8IfYvM/tzwv4v8Sf2h9o2/Zf8AhFdV8EaZ9i+yeQ3n/b/+Ey8/7R9ph+y/2d5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/4ftP+Xdua6PRy2j7eri4/U/rvs8pzbEcn1j6v9X+r4KNX+0Oa69r/AGff619V1+tc3sbO1jp6KKK3POCiiigDU0//AI9Nc/7BcP8A6etHrLrU0/8A49Nc/wCwXD/6etHrLoAKKKKACiiigArU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmoAy6KKKACiiigArUh/5Auof9hTR/8A0k1ysutSH/kC6h/2FNH/APSTXKAMutTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsrXtXttA0PWddvEupLPRNK1HV7uOxgN1evbabZzXk6WdsObi6aKF1t4BzNKUjH3q1aKyrQnUo1qdKapValGtClVlB1I0qk6VWFOrKmp0nUjTqTp1HTVWk5qm4KpTc1Up3ScI1KcqsHUpRqU5VacZ+zlUpxqU5VKcaijN05VKcalONTkn7OU1Pklycsv4Yfhb4x8J6z+0/wDsI/tH/BzXfh94Q8Z/F/8Aa/0PSvGWteLf2rfF3xq/bn8XaZr/AMR9W0fxVffHnw34f0vwb8FPh18OPGPhXVLXwtofhWw+Htl4qv7YabFca/r+l6jqNwIvit/wtD4gfHn9qH4yePfjp+yr8Hv2i/h5+1prfhH4feJfjL8TP2uV/a9+G1lpPjHTIPh14c+CHwj+Ctn4z8G+Kvhl9hmGj2VxbfCLxm8dtrPie51KfT7ObS760/smsv2Uv2XNNvL3UdO/Zs+AWn6hqXjDRviFqN9ZfB34d2t5f+PvDlxq134e8cXtzB4djmuvGGhXWv67c6N4lneTWtLuNa1aaxvYJNRvGm6HVvgB8B9e+I+n/GLXPgn8I9Z+LmkPYyaV8U9W+G/g3UfiPpj6XC1tpr6f44vNGm8TWT6dbs0Fi1tqkRtIWaK3MaEqd8NyYeWUcqqU6eWTxTpqnUXtcJDE1eFsVfLqsqVOEa9OrkOYYZSrYfC0JYTOJTeGbo4vAZzGIlOvLMakvZ1KmOVCVX2lKMaWMqYetxFKKx9KLqKVCdPO8NN06csROFbLIUoydCrQq5T/ACO/8FUtE0/U/wBsD4w+NfiD4q+B3xw1fwj4G+DNr4m+Gviv42fEn9mD49/s/wCmaP4Bn8S+ILn9l3UviXeeBvg54+tfFGtfbvEeipovhX9o/wAR2/iLxFp8Evwoj1SfU7nWPqm48L/st/Er/gpN/wAE/fjd8ZtLvfC0Xxj/AGKPhl8YNF1X40fEzWNJ8Sa78f8Awlf6FYfCifWPEdvq/hPRPEXjoWuk6VbppOn6XpWi+PNTaK8u/B899rIsn/ov+I/7OP7PXxi1vTPEvxc+A/wZ+KfiPRLNNO0bX/iP8L/BHjjW9I0+K6lvo7HTNV8TaHql9YWcd9PPeJa2k8UCXU0twqCaR3O343+C/wAHfiZq/hLxB8SPhP8ADT4ga94AvTqXgTW/G/gTwt4r1fwVqJubG8N/4S1LXtKv7zw3em70vTLo3WjzWU5udOsZzJ5tpbtHhCm44WjQ/d06lLMMxxUZUIOlToUcyybi3Ka31ZXc1XjLiTCYmiq7lGk8oo062NzC+Gq4KMRD231pKc5LEZHQyqTrydWVaeEq8O18P9ZV2pYdzyPFQxLpSVWtTzjGOGFw1aWJnmP8Xuh/s9/D3w5/wR6tf229Jn8c2n7Svwx/aMZfhd4/h+I/jiCD4a2P/C89J0ebTfBXhG216DwZo0F3O1z4gvL5NAl1u48RXtzqEmqmMW9rb+m/8FAIfGHxg/bc/bA/4XT8Tf2V/h7b/Bnwn8Orv4IXP7WPxV/aX8C+JPAvhbUvAkGqDxv+yr4Y+AOoxab418W3viJF8Ua1o2oeE/HmqTeIrXQILXwvqEdvq9nN/W5/wzr+z7/wriX4O/8ACivg3/wqO41E6xP8LP8AhWPgn/hXE2rHUk1k6pL4I/sP/hGZNROrxx6qb59La5/tJEvvN+1Ksom8efs+/AX4p654e8TfE/4I/CH4j+JPCUUMPhTxD48+GvgzxfrnhmG3vF1C3h8Pat4h0XUb/RYoL9VvoY9NuLZIrxVuUCzAPW1W1SpSacoUqWKp1qME5L6o5cKcN5FiMXhFTnS5MesyyLEZpSnGrho1FmNT22LoY6DxMumtVVWriqyiufEvMZVnNQk8TGvxhnXEeDwmKcoVIzwdLAZrSyytB0q6jLC/ucLXwNarhKn83+l/Cr4MXv8AwUi/4J5eOv2tPEHg/XvHPjz9jH4bfEe7+Kes+L/iT4A0T4m/tHeBNb0bS/hN4o0+Lx3L8O9eXxTqel6Pobp4J1zwx4ek8Ra1MYNe8EzavftZy/0S+JPB+k+FPF/iHxvpd34puta+Iv8AZP8AwkFl4k8c+NvGXhDT/wDhEdLg0jSv+EE+H3i/xBrngH4Xfa7S5kl8T/8ACsvDXhH/AITbVFg1vxn/AG/rVrbX8PYeN/gz8H/iZrPhLxH8SPhT8NviD4h8A351XwJr3jfwL4X8V6z4K1M3VjenUfCWqa9pd/feHL83ul6Zdm80eezuDdadY3Bk820t3jg+JP8AzBf+4j/7YVtKspUFR5VTUMzz7GU4U1CNGNDN82q5nRi6cIUoRxNBVpYWtKjSpYWpCEJ0KVCMnQoccaTjWjVcnUf9m5PgpzqOcqvtcswX1Ko4znOpJ4atyUsRCNWpOvCrHlqzqKEKk+D/ALYu/wDnjpf/AII9F/8AlfX+dZ/wXZme4/4Kq/tTTSCJXf8A4UhkQwQW0Q2/s5fCFRtht44oU4UFtka7my7ZdmY/6H9f53f/AAXT/wCUqH7Un/dEf/WdPhFX2vh5/wAjrE/9iyt/6k4U+M4//wCRPhv+xlR/9RsUfknRRRX7IfkAUUUUAf0U/wDBsrcyWv7ePxakiW3Zj+yN48Qi4tbW8TB+MnwEYkRXcM8avlRiRUDgFlDBWYH+62x1W6a21hjFpoMemxOu3R9IQEnV9KjxIqWKrKm2RiI5Q6BwkoUSRxuv8Jf/AAbO/wDJ93xZ/wCzSfHf/q4/gNX90Wn/APHprn/YLh/9PWj1+I8ef8lFV/7AsB/6arH7RwN/yT9L/sMx3/p2iH9sXf8Azx0v/wAEei//ACvo/ti7/wCeOl/+CPRf/lfWXRXxp9gan9sXf/PHS/8AwR6L/wDK+j+2Lv8A546X/wCCPRf/AJX1l0UAan9sXf8Azx0v/wAEei//ACvo/ti7/wCeOl/+CPRf/lfWXRQB02q6rdR3MSrFppB03R3+fR9IkOZNIsZGAaSxZggZiI4wQkSBYolSNEReGu/Hd3a+NNA8If2bpcn9ueF/F/iT+0P7M0Vfsv8Awiuq+CNM+xfZP7Ibz/t//CZef9o+0w/Zf7O8ryLj7Z5lr0+sf8fcP/YL0P8A9Mun1wl34k+y+NNA8IfYvM/tzwv4v8Sf2h9o2/Zf+EV1XwRpn2L7J5Def9v/AOEy8/7R9ph+y/2d5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/wCH7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/AFf6vgo1f7Q5rr2v9n3+tfVdfrXN7GztY7v+2Lv/AJ46X/4I9F/+V9H9sXf/ADx0v/wR6L/8r6y6K3PONT+2Lv8A546X/wCCPRf/AJX0f2xd/wDPHS//AAR6L/8AK+suigDprHVbprbWGMWmgx6bE67dH0hASdX0qPEipYqsqbZGIjlDoHCShRJHG65v9sXf/PHS/wDwR6L/APK+jT/+PTXP+wXD/wCnrR6y6ANT+2Lv/njpf/gj0X/5X0f2xd/88dL/APBHov8A8r6y6KANT+2Lv/njpf8A4I9F/wDlfR/bF3/zx0v/AMEei/8AyvrLooA1P7Yu/wDnjpf/AII9F/8AlfWlrGq3Uer6rGsWmlY9SvkUyaPpErkLcyqC8sti8kjkD5pJHZ3OWdmYknma1Nc/5DWsf9hTUP8A0rmoAP7Yu/8Anjpf/gj0X/5X0f2xd/8APHS//BHov/yvrLooA1P7Yu/+eOl/+CPRf/lfR/bF3/zx0v8A8Eei/wDyvrLooA1P7Yu/+eOl/wDgj0X/AOV9aUWq3R0i+k8rTdy6lpSADR9ICESW2sMxaIWIjdwY12SOjPGDIsbKssofma1If+QLqH/YU0f/ANJNcoAP7Yu/+eOl/wDgj0X/AOV9aWj6rdSavpUbRaaFk1KxRjHo+kROA1zEpKSxWKSRuAflkjdXQ4ZGVgCOZrU0P/kNaP8A9hTT/wD0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACivPPFnxc+FHgHS/E+ueOvid8PPBei+CJ9GtfGer+LPGnhvw5pfhG68RC0Ph+28T6hrGpWdpoE+ui/sTo0OqzWkmpi9tDZLP9oh3+go6SIskbK6OqujowZHRgGVlZSQysCCrAkEEEHBoXvR5o6xTUXJaxUnFzUXJXipOEZTUXJScIymouCckPRpPRtSaT0bUJQjNpOzahKpTjNpNRlUhGTjKcIzdXl/xJ/wCYL/3Ef/bCu7utd0Ox1XSdBvdZ0qz1zXotRm0PRrrUbS31XWYdHjt5dXm0nTpZkvNRi0qK7tJdRks4ZksY7q3e5MSzRluE+JP/ADBf+4j/AO2FG6utVeUbrVc0WlKN1dXi5RUle8XKKkouUVI6262Tt1tJNxdt7SUZOLtaSi3FySbXl9fzpft9f8HBf/DFf7VPxH/Zc/4ZH/4WX/wqW18E23/Cc/8AC+/+EN/4SD/hNvAnhv4nb/8AhGf+FL+Kv7K/sz/hNv7E2/8ACQ6l9t/sz+0t1p9t+wWn9Ftf5yP/AAXl/wCUrv7VX/dDf/Wbvg/X1PCWXYPM8xrUMdR9vShgqlWMPaVKdqka1CClzUpwk7RnJWbtre10rfM8V5hjMty+jXwVb2NWeMp0pS5KdS9OVGvJx5asJxV5Qi7pX0tezZ+vX/EVb/1Yd/5tD/8Ak70f8RVv/Vh3/m0P/wCTvX8hdFfof+qPD3/Qv/8ALrGf/Lz8/wD9a8//AOg//wAtsJ/8oP8AQQ/4Jhf8FrP+Hj/x88XfA/8A4Zp/4U1/wivwg1/4rf8ACT/8Ll/4WH9v/sPxn4A8I/2D/Yv/AAqrwN9l+1f8Jz/aH9qf2tceR/Zf2T+zpvtv2m0/div4Tv8Ag2G/5P3+Ln/ZoXj7/wBXN8Aa/uxr814pwOFy7N54XB0vY0FhsLUUOepUtOpCo5vmqSnLVxTtzWVtEtT9G4Zx2KzDKoYnGVfbV3iMTTc+SEPcpzpqC5acYR0Umr2u76thWpp//Hprn/YLh/8AT1o9Zdamn/8AHprn/YLh/wDT1o9fOn0Bl0UUUAFFFFABRRRQBqax/wAfcP8A2C9D/wDTLp9cJd+JPsvjTQPCH2LzP7c8L+L/ABJ/aH2jb9l/4RXVfBGmfYvsnkN5/wBv/wCEy8/7R9ph+y/2d5XkXH2zzLXu9Y/4+4f+wXof/pl0+uEu/En2XxpoHhD7F5n9ueF/F/iT+0PtG37L/wAIrqvgjTPsX2TyG8/7f/wmXn/aPtMP2X+zvK8i4+2eZa4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v/D9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/wBXwUav9oc117X+z7/Wvquv1rm9jZ2sdPRRRW55wUUUUAamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9ZdABRRRQAUUUUAFamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNQBl0UUUAFFFFABWpD/AMgXUP8AsKaP/wCkmuVl1qQ/8gXUP+wpo/8A6Sa5QBl1qaH/AMhrR/8AsKaf/wClcNZdamh/8hrR/wDsKaf/AOlcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH84X/BSz9uT9qf4Y/F746aV+zv8AtK3Oh2H7P/g7whqd98HvgN+yjJ+0Xr1g+s+G77xLrXjL9qr4pfEXw3pHw8+BPhC2vYLHR9Lm8DeKvHWuromoxarq/g+0vbW6cd1qH7SX7dX7TX7Tn7J/wf8Agx8fNE/Zh0T44/8ABPP4e/tP/EWaL4OeA/in/wAIt4u1fxDdy61P4S0zx3ax6pLc6k50jwnb2Wt+IbzRtJ0G61HVhpN54gt7a+P2B8aP+CS/7PHxt+KXxh+JurfEn9pfwRa/H/SIrH4yfC/4Y/GKfwd8JviJq9h4dvPD+g+LPFfhSHQby61vXPDctxaeIdHsdR1m58InX9KtptT8L6lpuoeIdL1r2/4WfsKfCn4S/Fj4RfGTQ/FnxO1rxZ8GP2XtE/ZL8Mw+JdZ8LXmk6n8ONA1ZNXsNZ8Rwab4N0m/vfGxmjjt7jVLDUtL0aW1UD/hHluC1yyy+Kp0cHHG3nOni6uLxEeaVT355LxPhpUPaRlGdfCSzatw3i6dKpONqdGpOdDCewnha9Y2TnWxMsJaEZYKrhKL5VC98bwlVw9Z05qUKOKhg8JxNSq16UeZVcVBU61eGKU8P/M7qtj+0X8GvgT/wV58f6t8ffC3xT07wZ+1No/gnxb4O+IH7M/wP8TaB8R/inf8AxS+F2fjRquk+LdC8VeFtLuIPD41PRrfwDbeFbvw1aX2ow+JdOmsdX0rTni+yv+Cj37c/7b/7PX7SOsaJa/Frxb+yp8A49E+FujfBLx6v7KnhX4v/AAG+J/ibWfD83iDxncfFj4sanb6r448CXGkXi3ukT+HvhF4G+IviNPDuitfWfga3uol1rxB+ifxV/wCCQf7PfxY8U/tGeIL/AOK/7THhLQ/2otQ0vXvih8NPBXxI8M2Hwwl8WaV4g8K+JovGeleEtZ+H+vRr4qm1Twqu7Vdau9cNnZ6/4jstJi022vbWOw6L49/8EqfgZ8dviV42+KNt8Wf2nfgbrXxW8K6R4P8AjRo37P3xbt/h94T+NOkaLpk2hWi/E7Qbvwr4hg8QtL4dmbQL22ilsNLvdOaZrjT3v7y/vrvKh9YhgsnpSlCNfCLL6VeGioU/qfDNDKXVn7CnH29NZlRqYmhCnQrvDUK7p/UsRC9HDaV3QnicfOKk6WI/tSUKln7Vxx2eZXj4Qpxqzfsq6y+hisLWqzqUViKsITeMw85UsU/z+v4PjP8AGf8A4K6fsf8AxP8ABP7TXhjS9J8e/sV+FfizDP4K+FmjeKPCF38NLfX9GuPiV8LPDOoeMG0vxLJoXxS1hNY1XTPHfiDT7Dx54Gs9Wi02PSY7rTTCv7f+JLTxta+L/EN74v8AEHhbXPAOof2T/wAKy8NeG/B+reFPF/hH7JpcEXjP/hO/G+qeOfGWi/EX+39aa2v/AAx/wj/w++F3/CI6XDPpGq/8Jtd3Met2vzx42/4Jv/AnxL8Qf2aPiR4P8UfGT4H67+yt4U0n4ffD2D4LePo/C1lrnw40XUNNv7P4e+PZ9X0TxJrXiPwpMthc2GrWkGsaXe6/p+tazBrt/qT3FvLafWHxJ/5gv/cR/wDbCu1yoxwscPQi6dOjm3EtahTlCPN9SzLPsTmeAnzwlNQthMTChUwrnOVCth3UdSr7VVJcUY1pV41q0lOpPKcgw9acZO31vL8qp5fjIyg4x9pKVegsRHFKMY1KdedGMKai4HB+dov/AED9U/8ABxaf/KOv84L/AIL1mBv+CsX7Vpt45YoT/wAKM2RzTJcSr/xjZ8HQ26aOC2R8vuZcQptUhTuKl2/0aa/zkf8AgvL/AMpXf2qv+6G/+s3fB+vr+A/+RviP+xdV/wDUjDHyfHP/ACKcP/2MKX/qPiT8haKKK/Wj8qP6Pv8Ag1+a1X9vr4um7huJ4/8Ahj/x8FS3uY7Vw/8Awuj9n/DGSW1vFKBQwKCJSSVYSAKVb+77ztF/6B+qf+Di0/8AlHX8HX/BsN/yfv8AFz/s0Lx9/wCrm+ANf3Y1+Ocbf8j6p/2B4L/03WP13gz/AJEVP/sLxv8A6cpGp52i/wDQP1T/AMHFp/8AKOtKxl0g22sbLHUlUabEZQ2q2rF0/tfSgFjYaOgjcSGNy7LKCivH5YaRZY+ZrU0//j01z/sFw/8Ap60evkj6sPO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjrLooA1PO0X/oH6p/4OLT/wCUdHnaL/0D9U/8HFp/8o6y6KANTztF/wCgfqn/AIOLT/5R0edov/QP1T/wcWn/AMo6y6KAOm1WXSBcxeZY6kzf2bo5BTVbWMBDpFiYlKto8hLpGUSR9wEjq0ixxKwiThrvxTotr400Dwh/YeqSf254X8X+JP7Q/wCEgtF+y/8ACK6r4I0z7F9k/wCEcbz/ALf/AMJl5/2j7TD9l/s7yvIuPtnmWvT6x/x9w/8AYL0P/wBMun1wl34k+y+NNA8IfYvM/tzwv4v8Sf2h9o2/Zf8AhFdV8EaZ9i+yeQ3n/b/+Ey8/7R9ph+y/2d5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/4ftP+Xdua6PRy2j7eri4/U/rvs8pzbEcn1j6v9X+r4KNX+0Oa69r/AGff619V1+tc3sbO1ju/O0X/AKB+qf8Ag4tP/lHR52i/9A/VP/Bxaf8AyjrLorc841PO0X/oH6p/4OLT/wCUdHnaL/0D9U/8HFp/8o6y6KAOmsZdINtrGyx1JVGmxGUNqtqxdP7X0oBY2GjoI3Ehjcuyygorx+WGkWWPN87Rf+gfqn/g4tP/AJR0af8A8emuf9guH/09aPWXQBqedov/AED9U/8ABxaf/KOjztF/6B+qf+Di0/8AlHWXRQBqedov/QP1T/wcWn/yjo87Rf8AoH6p/wCDi0/+UdZdFAGp52i/9A/VP/Bxaf8AyjrS1iXSBq+qiWx1J5BqV8JHj1W1jRnFzLvZI20eVo0ZslUaWQqCFMjkbjzNamuf8hrWP+wpqH/pXNQAedov/QP1T/wcWn/yjo87Rf8AoH6p/wCDi0/+UdZdFAGp52i/9A/VP/Bxaf8Ayjo87Rf+gfqn/g4tP/lHWXRQBqedov8A0D9U/wDBxaf/ACjrSil0j+yL4ix1IRjUtKDodVtS7ObbWPLZZP7HCqiqJQ6GJzIXjZZIxGyy8zWpD/yBdQ/7Cmj/APpJrlAB52i/9A/VP/Bxaf8AyjrS0eXSDq+lCKx1JJDqViI3k1W1kRXNzFsZ410eJpEVsFkWWMsAVEiE7hzNamh/8hrR/wDsKaf/AOlcNAH0ZRRRQAUV8qaZ+2z+zVrPxuf9nzTfHmsXPxCHinV/AFvqQ+GPxYi+EWp/Ezw/ol34j8QfCTQ/2hp/A8X7P/iD4y6BoWm6xqeufB7RPibqHxN0i18P+JX1HwpbHw3ry6d7t49+Ivgz4YaNp3iDx1rkWgaRq3jDwJ4B067ltNQvjd+LviZ4z0L4feCNGittMtL2783XPF3iTRtKFy0C2OnrdvqWq3VjpVpe31sQ/eU6FWn+8pYqShhqkPehiJyq06EYUZLSrKVatRpwjC7nKtQ5FOFehVxDknCdSnNONSlFzqwkrSpxUKlSUpp25YxhSqynJu1P2NaNR0qlGtRodrRUU88NtDNc3EscFvbxSTzzSuscUMMSGSWWSRiFSONFZ3diFVQSSADXyX4C/bl/Zy+Js3wRtvBOt/E3WLj9ouDxjqfwihl/Zz/aO0eXxF4W8CPosev/ABE1aPXPhPpreBvhNI/iXw0nhv4v+Px4X+F/jZvEvhweC/F3iA69pP2wi1OoqUPeqv2dqcbuf72VWFLRL/l5LD11C7V1Qry92nRq1qSl7sHUl7tNe0vN6RXsqcKtTV/8+6dSnOdk7RqU95VKdOp9c0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXl/xJ/5gv/cR/wDbCvUK8v8AiT/zBf8AuI/+2FAHl9fzpft9f8Q9X/DVPxH/AOG2f+Tpvsvgn/hbn/J7v/Hz/wAIJ4b/AOEI/wCSS/8AFuv+SYf8IR/yLP7v/oL/APFQ/wBr1/RbX+cj/wAF5f8AlK7+1V/3Q3/1m74P19Twlgvr+Y1qP1vG4PlwVSp7XA1/YVZWrUI8kp8sr03zczjbWUYu+h83xTi1gsvo1XhcJi+bF04ezxtH29KN6NaXPGHNG1RcvKpX0jKStqfr1/xyi/5/4eQ0f8cov+f+HkNfyF0V+h/6uf8AU94h/wDDl/8Acj4L+3l/0JMg/wDDev8A5af6N3/BML4Df8Eov+Ku/ae/4Jt+FP8AoP8AwG8V+OP7c/aR/wCpA+IWueFP+Ea+POsf9iLq/wDbmm+H/wDpws9Y/wCQxZV+vVfzkf8ABsN/yYR8XP8As73x9/6pn4A1/RvX5VntOdHN8dQniMRivq9b2EK2KqutXlThCk4KdRpX5faySSSSWiS1v+m5LOFXK8FWhQw+G9vS9tKjhaSo0Y1JzqKThBXtzezi22229W3pYrU0/wD49Nc/7BcP/p60esutTT/+PTXP+wXD/wCnrR68g9Qy6KKKACiiigAooooA1NY/4+4f+wXof/pl0+uEu/En2XxpoHhD7F5n9ueF/F/iT+0PtG37L/wiuq+CNM+xfZPIbz/t/wDwmXn/AGj7TD9l/s7yvIuPtnmWvd6x/wAfcP8A2C9D/wDTLp9cJd+JPsvjTQPCH2LzP7c8L+L/ABJ/aH2jb9l/4RXVfBGmfYvsnkN5/wBv/wCEy8/7R9ph+y/2d5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/4ftP8Al3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/2ff619V1+tc3sbO1jp6KKK3POCiiigDU0/8A49Nc/wCwXD/6etHrLrU0/wD49Nc/7BcP/p60esugAooooAKKKKACtTXP+Q1rH/YU1D/0rmrLrU1z/kNax/2FNQ/9K5qAMuiiigAooooAK1If+QLqH/YU0f8A9JNcrLrUh/5Auof9hTR//STXKAMutTQ/+Q1o/wD2FNP/APSuGsutTQ/+Q1o//YU0/wD9K4aAPoyiiigD8rPgfo/7UXwnl1P9lGf9kO88UeCE+PH7QPjWL9rfXvjH8G9J+Dcvwx+Mfjz4lfGbRvEej+FbHW/F37RuofHXQ9X+Itj8PNX8Dax8DvCHgK7v9K8SeJ7H46jRxosOvfmXH+xL+0/8Tvhd4F0L44/sCP4m0j9nz4G/8Eq/hTafDDxt4s/ZL+IWofF7xV+yP+0v4n8QftC+IPhvFqnxo1H4f2/g/VvhL4juX8ET/FTWvhV4n8U+H9T8S+HfEPh3QtR1I+G5v6Q77XdVhvbyGO62xxXVxHGvkWx2okrqq5aEscKAMsST1JJ5qr/wkOsf8/n/AJL2v/xinhZPDVcHWVq1XBvLJxnWjFupWyaOAoZbXmqapxhVw2CwEMLF0I0+adarmDmswp4SeEqpJVKWJoKKpUsU8cqkKbndU8z9vPMKUak5zqcmJxNeeIbm5zpRSwVJvAupCp+MnwC/YZ8fWX7QPxE1Hx/+yhoPhdNc0P8Abw8NftJ/H7xJr3wd8VaN+314Q/aO+KsHiL9n3wZrGiaJ4s8S/EXx7ofwr+Gsa+E9X0n9pfwX4E0j4PW1mPhp8Fo/Gfw88Qaxqlt3v7H3/BOPwz8EviD/AME3fHWofsp/BbwNr/7NX/BPXxz8JPGHirRPBnwdi8QfDn48eKta+B+rXun6Lq3htZ9Vm1jXLvU/2k9Q1Pxh4Pmv9Hu7zxt8Rbi/19rj4k3zeI/2isZHmsrSaRt0ktrbySNgDc7xIzNhQFGWJOFAA6AAcVaqsLN4OFCNHR4ejSoxneUZONHA5xl8LcjhGjCOHzrFyjQw6pYaniJ4nE0qNOtm2dyzKK166xEZt8mJqV6lSmvgbxNTA1KvNGTkqsp/UKNKVWuqtapho4bCValTDZZlNLBFFFFQMKKKKACiiigD5r/a/wD2lfD37IP7OXxP/aI8TeH9V8Wad8O9Hs7m38NaPNHZ3Wu63resad4b8OaXPqk0F1Boem3uv6xpsGq67NaXw0fTXur+LTdUuYINNu/i39mr/gqDf/FjwZ8e/iF8af2dNR+DXgP4F/Du9+Jk/wASvhv8YPA/7Ufwg8W6RodnNe+JfCuj/F34X2Nj4BT4n6RC2nTN8O4tZ1DW1tNQW71f+xEjjW5+3f2sPhN47+OP7PnxM+F3w08Y+GfA3jXxXof2XQ9Z8b/D7wX8UvA91cW93b3r+H/Gngfx94b8W+HNY8LeJIbeTRNYkm0DUr3S7a+bV9OtLu9sIbO5/GH9mz/gjF8QNG1/9pXWPjldfs7/AAd0b47/ALP/AIq+CEngP9jy8+NuoeDdR1fxrrieIb34m+ItO+MusCHQ7/wxqGn6Wnh7wH4IttN8Btaqtvp+leFbewmt9b5ovE3zlKKco5bWnljqKMaccZHL5SoqEeaP1itPHx5YxnWhFTlRpYmhHLnWxsd5Khy5U7tJ5lTWYqDlKpPBvGYWEoN8svYUo4OderOrGlUbjTqzo1Vj4YbB1/bf2av+CyPhv9oj4q+GfhH4p+E/hv4Tx/Gfwv4v1T4HeJ/DP7T3wb+N+vardaDoE3iWDR/ip4B+HF1/wlHwG8T6j4d23OnaN4zMt8/iSC/8LRB9Q025nX8ktQ/aO/br+IH7Hn/BM74e+Ddf/aO8U3fxy+J/xlh8QfFHwH+1bY/C34zfFzxVoXxS+Juh6V8JD8S/GNp4j1/wza+HfDEVhq1t4j8TSat4JvIJtN0ebRJ7zw7p0ln+p37HH/BND9oX4P8AxE+Heq/GDSf+Cfmi+Dfgp4H1/wAN+Ftb/Z+/Zw8LwfGv4x+ILvRJ/DPh3xh8Xvib43+GNv4l8G65o1hKdYvtS+FHiDT7zxDqk93ZeIH1W1nuLy60Pgx/wTN+PHw6+GP/AATR8F634t+Ed1qn7Gvx3+K3xQ+J9xpWveMp9P13QPHXibxNrOkWfgOW78BWNxqmsW9rrNrHqNv4htfC9lDcR3CW2oXkaRyy90aWFlXwvvTlQni+GvbSqOcXVwOG4pz+rVq4ulJRqYfFUsrq4LEZlSi6ftaUsHHFUJSjPAw5ZVsRDDYi0IPEU/7WnRhFRap4mtwxGiqeGqwdq2Elj39Vwc26kY15Ymph6qlKGLocPr3/AAW28AfBvxjqPw6X4WSeLvg58CfEui/BX4qfGDxn+1V8G7f47t4m8MS6X4U8XeIPD37Pet3KfFr426fpWqzwy6l460EWkHiWW38Tax5Fimj36D1r9pT/AIK93/wi/aJ8Vfs//Br9mmH9oPUPAmifDrUPEFyP2hPh78LfG/ijU/iTpUfiTRND+Bnwg1/Rdb8d/H29bw1e6Rdx2/w5tdQ1abVL8aZJo9raSaXrGr+Baz/wSA+N+h/F34p6V8Mx+wjf/AT4vfGy4+LV38U/jd+zn4c+Mf7WXwv0rxJqVvq3i/wB4Bj+Inw98afDLXdBMkM+naQ/jG8uHjh1C71a1j0TUnlFx1H/AAUF/wCCWf7Q/wC1F8UfEmreBo/2LvHHw28QeFPDej+EpPjn4K8YfDX4vfAa/wBC0G/8N+R8PfiF+zf4d8Oa18RvDcKXreJdG8NfGrWvFng3SNYFrpkHgs2Gmrd3/NCtiK1DLMRiIKWOxOIq1sxp2p0YrEV8twuIxNGvGSVKjgqGfVsxoZfVTw9HE4CNP2tejRjhMTW19jQo1sfhqM2sJQw1OhgKsnOo1RpZhSw2GxFOUUp1sbUySlHEY6klWq0cbUm6VCpVpywk+w+J/wC2P+1faf8ABUP9n74aeE/g/wCLpvgLr37PVl8QNS8EeIPiL4P+HN4nhjxfqOiHx/8AGzxz4d1HTJddg174I2r33hyb4Q6xf3ur6lqWh6jfeF1sbnVpZ5s/4X/8Fz/hr8RvjD4D8OXPwl0Pw18Cvip8S4fhX4A+LMn7SfwX134qNr2qald6F4c1jx5+yvo99L8Vfhz4O1jW7GeGTxTrlxLp2naXd6HrEzSw65ZQnvfFX/BPH9onwn8X/wBjjx58GPiV8KfG2i/Bn9mK2/ZF+Of/AAvNvHmm634x+GVzdafb+JPEngRPBltrUkPi/UdGn1r+xLTXfEdlp2gX9jocNze69ZXF/wCR4N+zl/wSN+OnwY+Ifwy8G6vH+wRqX7PXwl+KN745sPi3H+zP4S8X/tl/EnwxZ61da/4e8BeN/EPxF+G+u+FfDsS3lxBaSeMfCPiAeOvD1pp1k2geIm8u3t7TqwkaMcZh8PUlz5fRzLP06lT2kamJwtXivGVadSvXmnVhCPDEsvq5NVnDmqY2FfDPDXoywb5sTKtLB1K8IuGPqZZkr9nT5JQpYqjw2qVSNOjH937WpxHCpHM6UZKNPAVYVnXtVeNw/e/FL/guZ8OPh18YvH3hey+EWj+IPgl8JPiXJ8K/iX8VL39pD4NeE/ila69pWs22geKNW+H37LOtXh+LHxP8J6HqN9biPxBoDW9vqNraa9dCK0j0C+A6344f8Fa/iN8Pfiz+1J8N/hL+xdrPx50P9lXwn4M+JHjj4j6T8c/DPgvwyPhl4k8DW/jTUfFF3FrXgi+uodSsUv7ODQPCvhw+MdV8V6bb6/rcTaTDojWl54TrP/BID436H8XfinpXwzH7CN/8BPi98bLj4tXfxT+N37Ofhz4x/tZfC/SvEmpW+reL/AHgGP4ifD3xp8Mtd0EyQz6dpD+Mby4eOHULvVrWPRNSeUXH1FrX/BPb4s3PxB/4KheI9H174XWPh79tH4HeC/hb8HNOGo+IrO48Laj4X+FOpeApH8eWNj4IGm6Dog1C6t5LH/hEpPE8iaXG5Gm2sqR2TefSliI5Zha04uePp5ZmOJq0ZRUfb5pRynIatPA4ikmmsNLPKmdYfL50KtCWLwFFp1VS9hjX6E1QeY4inFqOClmOXUKdTmlJUstrZ3iKFXFUqmnNXhkSoYvHxqwqqhipJezjUhLD1NT4Ef8ABU28+MX7Q/wL+E/iL9lr4hfCD4Z/tVfD3xN49/Zp+LPjLxz4K1bW/iHbeEfD9v4i1iLxD8MvCB10+AdPeyh1ptL1DUvG2o39/DD4evDodvZ+I3m0f718SeINW1zxf4h8Nap4G8U+DdF8I/2T/wAI/wDEHxJd+Cbrwh8Uf7f0uC/1X/hBLLwh4w8V+PtP/wCEJu4Y9E8T/wDCzfBHw6+16pdQS+DP+Eu0VbnV7b8//CP7AHxd8O/Ff/glZ45l8QfDEaL+w58CvF/wz+LNpZat4nGoeIvEfiP4R6d4Ehv/AIeW7eDILTVtKOvWtxfXt14lu/CV99glW5SwnvXezX9KfiT/AMwX/uI/+2FeriYYaC5MPNVPZY/PcMqvNKUsRgsJnVahlGMmnGMVLG5Zy4hOnClCdP2EnQo1I1I1fMoPEOadZNRnl+T1mnGKVLHVcFiVmeHi03JqjiaGGlJTc5Qq4mqo1JU504UOD/s+0/6Dml/9+da/+U9f5wX/AAXrjSL/AIKxftWxxzxXKL/wozE0InWJ8/s2fB1jtFxDbzDaSUbfCnzKSu5NrN/o01/nI/8ABeX/AJSu/tVf90N/9Zu+D9fV8B/8jfEf9i6r/wCpGGPmeNf+RVh/+w+l/wCmMQfkLRRRX60fl5/d9/wa/WsE/wCwL8XXl1Gys2H7YHj5RFcR6gzsB8F/2fyJAbSwuo9hJKgNIHyrZQKVZv6Pv7PtP+g5pf8A351r/wCU9fzaf8Gw3/JhHxc/7O98ff8AqmfgDX9G9fhXEn/I+zb/ALDJ/wDpvDn7Rw//AMiTLP8AsEj/AOnK5qf2faf9BzS/+/Otf/KetKxsbVbbWANY01w+mxKzLFq4EQGr6U/mSb9KVihZViAiWR98iEoIxJJHzNamn/8AHprn/YLh/wDT1o9eIewH9n2n/Qc0v/vzrX/yno/s+0/6Dml/9+da/wDlPWXRQBqf2faf9BzS/wDvzrX/AMp6P7PtP+g5pf8A351r/wCU9ZdFAGp/Z9p/0HNL/wC/Otf/ACno/s+0/wCg5pf/AH51r/5T1l0UAdNqtjatcxFtY02MjTdHXa8WrkkJpFiiyDy9KkXZKqiWMFg4R1EqRyB414O81a1tfG/h7wd9s02Rde8K+MvEx1USauiWR8Jav4F0tdPazOhmSd9THjRrlLlJkS0GkyRSRytexND1Wsf8fcP/AGC9D/8ATLp9cJd+JPsvjTQPCH2LzP7c8L+L/En9ofaNv2X/AIRXVfBGmfYvsnkN5/2//hMvP+0faYfsv9neV5Fx9s8y1wry5I037X2XNicNC/Jz8/PVcfY2+z7f+H7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/wBn3+tfVdfrXN7GztY7v+z7T/oOaX/351r/AOU9H9n2n/Qc0v8A7861/wDKesuitzzjU/s+0/6Dml/9+da/+U9H9n2n/Qc0v/vzrX/ynrLooA6axsbVbbWANY01w+mxKzLFq4EQGr6U/mSb9KVihZViAiWR98iEoIxJJHm/2faf9BzS/wDvzrX/AMp6NP8A+PTXP+wXD/6etHrLoA1P7PtP+g5pf/fnWv8A5T0f2faf9BzS/wDvzrX/AMp6y6KANT+z7T/oOaX/AN+da/8AlPR/Z9p/0HNL/wC/Otf/ACnrLooA1P7PtP8AoOaX/wB+da/+U9aWsWNq+r6q7axpsTNqV8zRSRauXjLXMpMbmLSpIy6E7WMckiEg7HZcMeZrU1z/AJDWsf8AYU1D/wBK5qAD+z7T/oOaX/351r/5T0f2faf9BzS/+/Otf/KesuigDU/s+0/6Dml/9+da/wDlPR/Z9p/0HNL/AO/Otf8AynrLooA1P7PtP+g5pf8A351r/wCU9aUVjajSL5P7Y00q2paUxlEWr7EK22sBY2B0oSF5A7MhSNkAik8x42MSyczWpD/yBdQ/7Cmj/wDpJrlAB/Z9p/0HNL/7861/8p60tHsbVNX0p11jTZWXUrFliji1cPIVuYiI0MulRxh3I2qZJI0BI3uq5YczWpof/Ia0f/sKaf8A+lcNAH0ZRRRQB886l4d1f/hOb/X/APhPPFf9k/bbr/iiPsfgf/hF/wDj1ksv+Pv/AIQz/hNP+Pn/AIm//I3/APIR/df8gn/iWVS/4R3V/wDhKP7f/wCE88V/2T/0JH2PwP8A8Iv/AMg77F/x9/8ACGf8Jp/x8/8AE3/5G/8A5CP7r/kE/wDEsr3yXQtKmkkmktd0krvJI3n3I3O7FmbCzBRliThQAOgAHFM/4R7R/wDnz/8AJi6/+P1h9Xpdqn8b6x/HxP8AF7/7z8H/AE4/3f8A6hz0f7Vxv82G/wBw/sz/AJFuUf7n/L/yKf8AeP8AqY/8jX/qan5Ef8FBPhwvjL4j/C67vfgp46+KvjuT4caDpH7Hnjfwd8HvGnxCt/2f/wBpWH4r+EtV1v4h6t8SfDelaroH7OrXXheLwnfN8UvG194H0S78I+C/HXhIeKtUbWpfBuvVP2+vClh8U/iX4E1pfgb8Uvib41j8N3Pg79kDxnpX7PvxT1uX4A/tQ+F/jxolr4r+JN/44PhcWH7P2l6loukeG9V0T44+LZPBngfxn8N/B/iq28MeO/Ffh/xfYaD4q/ZmKNIY44Y12xxIkca5J2oihVXLEscKAMsST1JJ5p9aYeCw/wBWs+b6tnMc5hoofvoybcIct/ZVKkZctbF07Yiq4Upzu6aivMxMVifrl/d+uZRHKJ2Sly0kvjtL+JG6i4Yab9hBSxKjf61Ucf5itd/ZL8I3ug/tsaFqnhv9p0eC/jh8XNK8dftiePk/4Jf/AAY1z4v2fiLTv2p5Pij4a+H3wq8KxfsteJ7j9uP4Ot4cuta0vxB4m1W5/wCCjGl6HoY0BdG0XSPDl5rvhAfQfgb4T2Gi/HL/AIJ6appf7NHiXwv8XfhdoWn+HLbxVafsgeLPCtrefs0DQviN4J8Eabpf7QHgXQvDf7Pn7GVj4K8E+Kb74mfHn9lDV/hZ8Gtc+NnxNi8J+D/CHgLwhYaLpWjX375UU8JH6rTwdK/tKeEhllOyXsZVIZZlOLyilFVKLjVoReExU8LCNGrF0Mvq4zCKdfFY2rnTMUnipYuUpyi8U80bvarGnLNK+ArVJ8lROFSpTeX0anPOClPF0MvxMPqlHLcPl58XfsRfCy/+D3g/41+DruH4itZn9p740a5oer/FLX/Gfi3xb4o0bXtW0/UrfxNN4r8eXupa94h07Vrma8fSr1L6bRbayji0nw9FY6Hpthp1n9o0UVUfdpYalo1hsFgMFFpRjzQwGCw2Bpy5IKMIOVLC024QiqdOyhTXJCLbavUxFTriMZjsZJdp4/G4rHVIp7tRq4uolJ+9Je9JKUnGJRRRQMKKKKACiiigAooooAKKKKACiiigAry/4k/8wX/uI/8AthXqFeX/ABJ/5gv/AHEf/bCgDy+v50v2+v8Ag30/4bU/ap+I/wC1H/w1x/wrT/hbVr4Juf8AhBv+FCf8Jl/wj/8AwhPgTw38Mdn/AAk3/C6PCv8Aav8Aaf8AwhP9t7v+Ee037F/af9m7bv7F9vu/6La/zc/+C+P/ACln/av/AO6Ff+s1fByvp+FKOMrZjWjgcd9QqrB1JSrfV6eJ5qarUE6fs6rUVeTjLnWq5bbNnznE1XCUcBSljMH9dpPFwjGl7eph+WbpVmqnPTTk7RUo8r0fNfdI/Zj/AIhUv+r8f/NXv/yiKP8AiFS/6vx/81e//KIr+OOv9U7/AIJ5f8mA/sN/9me/szf+qW8E19Hn2L4hySjhqv8Abf1n6xWqUuX+zsHR5OSkqvNflqc178trK293seBkmFyLOKuIpf2P9X9hShU5vr+Kq83PVdPltzU7Wte93fa3U8m/4Jhf8E/v+HcHwD8XfA//AIW1/wALl/4Sr4v6/wDFb/hJ/wDhA/8AhXn2D+3PBngDwj/YP9i/8Jn45+1fZf8AhBv7Q/tT+1rfz/7U+yf2dD9i+03f6N0UV+eYnE1sZiKuKxE/aV683Uqz5Yx5ptRTfLBRitIRVoxS021Z95h8PSwtClhqEPZ0aMFCnDmlLlinJpc03KT1lLWTb130QVqaf/x6a5/2C4f/AE9aPWXWpp//AB6a5/2C4f8A09aPWBsZdFFFABRRRQAUUUUAamsf8fcP/YL0P/0y6fXCXfiT7L400Dwh9i8z+3PC/i/xJ/aH2jb9l/4RXVfBGmfYvsnkN5/2/wD4TLz/ALR9ph+y/wBneV5Fx9s8y17vWP8Aj7h/7Beh/wDpl0+uEu/En2XxpoHhD7F5n9ueF/F/iT+0PtG37L/wiuq+CNM+xfZPIbz/ALf/AMJl5/2j7TD9l/s7yvIuPtnmWuFeXJGm/a+y5sThoX5Ofn56rj7G32fb/wAP2n/Lu3NdHo5bR9vVxcfqf132eU5tiOT6x9X+r/V8FGr/AGhzXXtf7Pv9a+q6/Wub2Nnax09FFFbnnBRRRQBqaf8A8emuf9guH/09aPWXWpp//Hprn/YLh/8AT1o9ZdABRRRQAUUUUAFamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1AGXRRRQAUUUUAFakP/IF1D/sKaP8A+kmuVl1qQ/8AIF1D/sKaP/6Sa5QBl1qaH/yGtH/7Cmn/APpXDWXWpof/ACGtH/7Cmn/+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeCftA/tP/Aj9ljw94Y8WfH/AOIVj8N/DPjHxjpvgHQdc1TSvEWo6bN4o1a0v76ys9QutA0fVo9CsjZ6Zf3V1ruvHTNA06C2kk1DVLVSpb5CP/BZX/gmcPBv/Cd/8NWeE/7E/wCEnbwj9hHhD4nnxl/aq6cuqG7/AOFdDwN/wsH/AIRj7MwiXxv/AMIx/wAIW2ohtHXXzq6PYrw//BW74U+NPi34c/Yu0fwl8NvFHxNsNE/bn+CXiLxzpfhzwdq3jO00jwLZQ+I4PEGu+LLHTNO1KGw8JWkF0kOsanrEUWjwRXKx3s6JMA3yN8WP2dviXq3xN/4Lv+JLP4L/ABA1CX4q/AX4UeHfg5qFp8Odfu4fifqC/CPVhr+nfDi6i0SRvGup2fiTS9Dg1G08LT6jPb6xHYxXsH29LPy+aNapHD47EVKfP9VqZ3KlSgpwnVo5NhOEMXTp3am51MzqcRY3B0atOm1R/s6riKNLG1aGIw1HpdKm6uDpRlb29PKZVpylFxjLM84z7K6lrcvIsDSyzB46pGcm508Ty1JYalVpYiX6xftB/wDBQP8AY5/Za0zwHq/xx+OnhvwnZfE7Sl1/wF/ZeleK/Ht34l8PS28Nzb+JLLTfh14f8WajH4bvIriL7B4hu7S30bUJWMFlfTzo8a5XxG/4KPfsUfCfwF8JPih49+POg6N4A+Ovh7xL4n+FPim28PeONf0zxZpXg/T7LUfEaxt4c8L6tNpGr6amo2mnt4c1+HSvEVz4gkbwxZaVc+I4Z9Ki/C/x74L/AGuNOg/ZG+HE3wM/a98M+BtW/wCCdPwW+Edt40/Y9+D3w70T9oE/F6GLQbi5+Fnxu/aI8faJH41/Z4+FOi+IoLSXxnoM2s+HdImt/t15q2nX1ufEMunbH7Jn7Nfxf03Rf+CHml+L/gL8X9LT4L/EH9s7V/ixbeLvhh4u01Phlqmp67c674J1bxmbzRIIfC1jq+qxWOo+C9S1xrOHVpYbaXTZ7qeI7fR+rqWMxWFjWiqcOInl2HxMoxaeW0814vyytVq01UjH6xTjw/luMVT23sp0s3w9T3MJjMulPz/bOOGw1edOU6jyXE4vE0Y3hfH0sky/M6HsJuNRrD18TicThI0HSlVU8NWoKpPF4TEOt9dx/wDBbj4LePfi9+0H8L/hf4v8BaHpXg34Ean42+BPxC+JfgX9oBtH+IHxD0DwN4j+IXjGTxt4a0b4f6f4y8J+BfA+gaN5t/Yx6NJ4g8UW9pdXfhLUtQvNQ07RV+xtb/4KT/sw/Ar4Ifs6/EH9qj47/Drwv4m+OPwu8J+OdPf4feEvi5ruheJn1Xw7pmp6p4j8I+Dx4R1j4n6D4Cur28kXw/eeP9C0fURCY9N1Irrdve2kX5t/tZ+GfjR4P/a5/wCCkenad+zb+0H8SPDf7X/7FGm+DPhh8Q/hZ8Mda8ceBNN8VeD/AIT+K7OfRPGOuaWvl6PqWq6np8+jaRpNomp69d6te6DCmjm012zvR4V498F/tcadB+yN8OJvgZ+174Z8Dat/wTp+C3wjtvGn7Hvwe+HeiftAn4vQxaDcXPws+N37RHj7RI/Gv7PHwp0XxFBaS+M9Bm1nw7pE1v8AbrzVtOvrc+IZdO86FeTyujWpUpSxNR0FL2zc6k6lCHiLi8XhklCg6WInDJslwkPZ0fZ4mpictpYZLETpVq/dUpQjjJRq1YwoQlXbdK0YwpVcv4EhQxUnzVfaYSnXzPO8RUjOp7TDywOZVqjlSdTC4f8AYXxZ+3W2p/tKf8E9vAnwQ1D4e+PvgV+2Zofxw8Qal46ay1+511dO+G/gKPxR4efwlcxa3o9pol0+rGfTfFWmeKPDWp6pYy21zpE9noer2l0I/q7xJ458E+MvF/iH4feEPGHhbxX4++F39k/8LN8EeG/EGk654v8Ah1/wm2lwa34M/wCE78NaXd3WteEf+Eu0W1udX8Mf8JBZaf8A2/pdtPf6V9rtIZJV/nz/AGHf2f8A43+ENY/4IpL4h+CPxm8MJ8IT+3pD8WpPFXw08YaLF8OL3xh/wlsnhtvGVxe6JbW/hix8VyXtufCVzrUlpHr0dxAunS3crFa/o1+JP/MF/wC4j/7YV6uJo0aFNQpT9qo5nxDTjVlKE6k8LSzXB/2epyhyxlCnhMRKlQqKnBVaVN1FzXm6fBTqValZe1h7JrK8pdSnGMoQWMU+IKGNnyyc3CrVngsLUrUnVqOlKVOF+V06mI4P+w9a/wCgPqn/AIL7v/4zX+bJ/wAF+IJ7b/grX+1jDcQy28yf8KJ3wzRvFKm79mn4Nuu6OQK67kZWXIGVYMOCDX+kPX+bn/wXx/5Sz/tX/wDdCv8A1mr4OV9PwN/yNsR/2L6v/qRhj5rjL/kWUP8AsOp/+mMQfj3X+rB/wTu0fV5f+Cf37DEsWlalJHJ+x1+zJJHJHY3TpIj/AAV8Esjo6xFWRlIZWUkMCCCQa/yn6/1Tv+CeX/JgP7Df/Znv7M3/AKpbwTXtcef7nl3/AGF1/wD1FieRwV/vWP8A+wWj/wCpMj7W/sPWv+gPqn/gvu//AIzR/Yetf9AfVP8AwX3f/wAZrLor8yP0Q1P7D1r/AKA+qf8Agvu//jNaVjo+rpbawr6VqStLpsUcStY3SmRxq+lSlIwYgXcRxySFVyQkbvjarEczWpp//Hprn/YLh/8AT1o9AB/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNZdFAGp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNZdFAGp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M1l0UAdNquj6vJcxNHpWpSKNN0eMsljdMA8WkWMUqErEQHjkR45F6o6sjAMpA4O8vNXtPG/h7wYfD2pPJr/hXxl4nS9MV0j26eEdX8C6VJarY/Y2a4S7bxtFK90LiIWZso4WhuDfLJbdVrH/AB9w/wDYL0P/ANMun1wl34k+y+NNA8IfYvM/tzwv4v8AEn9ofaNv2X/hFdV8EaZ9i+yeQ3n/AG//AITLz/tH2mH7L/Z3leRcfbPMtcK8uSNN+19lzYnDQvyc/Pz1XH2Nvs+3/h+0/wCXdua6PRy2j7eri4/U/rvs8pzbEcn1j6v9X+r4KNX+0Oa69r/Z9/rX1XX61zexs7WO7/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//Gay6K3PONT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmsuigDprHR9XS21hX0rUlaXTYo4laxulMjjV9KlKRgxAu4jjkkKrkhI3fG1WIzf7D1r/oD6p/4L7v/AOM0af8A8emuf9guH/09aPWXQBqf2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zWXRQBqf2HrX/QH1T/wX3f/AMZo/sPWv+gPqn/gvu//AIzWXRQBqf2HrX/QH1T/AMF93/8AGa0tY0fV5dX1WWLStSkjk1K+kjkjsbp0kR7mVkdHWIqyMpDKykhgQQSDXM1qa5/yGtY/7Cmof+lc1AB/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNZdFAGp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M1l0UAan9h61/wBAfVP/AAX3f/xmtKLR9XGkX0R0rUhI+paVIkZsboOyR22sLI6p5W5kjaWJXYAhTJGGILrnma1If+QLqH/YU0f/ANJNcoAP7D1r/oD6p/4L7v8A+M1paPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCuZrU0P/AJDWj/8AYU0//wBK4aAPoyiiigD8gvhX/wAFZfBEPh34o65+0x8PvHfwg8J/DrxH+22unfHg+G/D0PwK8f8Ah79jn4xeN/CPi7QfCAtfid4w+KsXjvw34A0HTtZ8Q3HjXwB4K8G+L9b0vxrJ8ONY1S10W50vTuU+GX/BZLwL+0f4t/Zz0b9m34T+JfHmn+P/ANpzV/gR8cYtJ+Jf7JHxZuPhVosP7PHjv40aH4mtPGH7P/7WfxM+Fmvvqa6Bba3c2fgnxt8SfFOm+F/BXxH8N6l4DsPiLfeAtE12bSv2LP2BIrj4i6b4w/bE8Q/Ez4Z+PB+09c6X8GfGP7QXwV0/wD8Mdf8A2wPGGreMvjj4s+G+q/D7wp4G+Kdl4i1m81zVdO8NT+KviR4tsPAmm6hqMvg7TtF1nVtX1i/761+Bn7OF3YfD5/iD/wAFJvin8YPGPw9+M8XxgtfiJ8Svjt+y/ea9rVm/wg8SfAzVvhLd+FfC3wl8KfCTwx8MvEvw98XeIrbxHL8M/hr4C+J2q+ItUufGknxKTxfI2tt6dDh7imNChOtw3nlTE0cFgXKi8izynRxGMpZZKlXhi6lPI5RTr5tF1MZLCRhhZZbPDYnAyjmyzDDS8ivxHwxLEYmNDiXIaeFq4zNFSqPPeH6lejg6sqk8FKjTnn0Ic1GhOnHDRrzlVhmMa1LHKWTLB4in7J+xv/wUd+B/7bPxB+Ofwu+HGheMfCXjj9n8eE7nxr4d8beIPgfq+sppvjTWPHeg6PJqWh/B74yfFjX/AIZeKLLU/h3r9r4t+EPx20r4TfHPwBPNpFv47+F/hu61OGAfoBX5h/s1fsffAj/gn/4f8R/tDL+0h8bPij4G8Nfsr/Cj4NWGs/Ehvg5rHhTwj+zn+z7J438UfCzSvh74a/Z4+BPwzXVZdL03x9ren6dPpemeJfEnjuC40lZ18SeJ5otQvftj4afH/wCEvxZ+F918ZPCfiiey+H+lnxRH4l1H4g+GfFvwi1vwNc+CLq+s/GOn/EnwV8WdC8FeN/hnqvheXTbyTXtI8f8Ahzw3qelWcaaheWkNhPb3MvFinhaN406k4vA4SDzSWKSw0qFWnXzOlPE4mnVnCODjWw2EwuJxFOU1QwOIlmGHdWFDC08RX9Ok51JppQlTxmIf9mxoz+sKvTnQwdX2WGqU4c2LjTrYipTwtRU/b4rCywVaVOeJr1qFH2SivivVf+Chv7Iml6B8G/F0XxP1fxJ4M+PWmW3iD4d+OPAHwm+M3xL8CjwhfeJtJ8H6d8QPiB42+Hvw98T+Ffg38MtU8Ra1YWGk/E74w6v4E+H+qoL6/wBO8SXOnaTqt3Zey/C79of4afGTxX8SfB/gJPiTdX/wp8Q6j4V8Va54k+B3xu+H/wAPr/X9F1/W/C2uaf8AD74p/ED4eeF/hn8XToPiLw5rOja/c/Cfxb41s9Cv7L7Pq1xZvcWvn5RjKd+WMny+2clyyTh9X+r+351KMHB0vrWG541FTletCMYVZKrDDW5RSi3KNpRpTi1KLUoV61fD0ZxcZT5oVa+FxFKEo80XOjNOUE6dSv7fRRRSGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeX/En/AJgv/cR/9sK9Qry/4k/8wX/uI/8AthQB5fX8Tf8AwV5/4JCf8FEv2mv+ChXx8+O3wQ/Z6/4Tb4VfEGL4UzeEPFX/AAtn4HeG/wC14vDHwW+HfgfXG/sPxd8TNA8R2H2HxR4Y1zS9up6PZNc/YfttmLjTrmzu7j+2Sv4m/wDgrz/wV7/4KJfsy/8ABQr4+fAn4IftC/8ACE/Cr4fRfCmHwh4V/wCFTfA7xJ/ZEXif4LfDvxxri/254u+Gev8AiO/+3eKPE+uapu1PWL1rb7d9iszb6dbWdpb/AE3Cn9of2hW/s36n7f6nU5/rvtvZey9tQ5uX2Pv+05+S1/d5ea+tj53ib6j9Rpf2h9a9j9ahy/U/Ze19r7Ktbm9t7vJy897e9zcttLn5r/8ADg7/AIKz/wDRqH/mdf2av/nx1/f3+xr4B8W/Cn9kH9lT4XePtJ/sHx38Nv2bfgb4B8a6F9v0zVP7F8W+Dvhh4X8O+I9J/tPRbzUdH1H+ztY068s/t+k6hf6ZeeT9osLy6tZIp3/gE/4f4/8ABWf/AKOv/wDMFfs1f/Ocr/SMr0OLqmbqngaWaLLuWVTEVaLwP1i/NGnTpzVT27tblnFx5Ve6d3ayfDwvDK/aY2pl31/mVOhTqrGewtyynUqQdP2Kve8JKXM7WtZXuwooor4k+wCtTT/+PTXP+wXD/wCnrR6y61NP/wCPTXP+wXD/AOnrR6AMuiiigAooooAKKKKANTWP+PuH/sF6H/6ZdPrhLvxJ9l8aaB4Q+xeZ/bnhfxf4k/tD7Rt+y/8ACK6r4I0z7F9k8hvP+3/8Jl5/2j7TD9l/s7yvIuPtnmWvd6x/x9w/9gvQ/wD0y6fXCXfiT7L400Dwh9i8z+3PC/i/xJ/aH2jb9l/4RXVfBGmfYvsnkN5/2/8A4TLz/tH2mH7L/Z3leRcfbPMtcK8uSNN+19lzYnDQvyc/Pz1XH2Nvs+3/AIftP+Xdua6PRy2j7eri4/U/rvs8pzbEcn1j6v8AV/q+CjV/tDmuva/2ff619V1+tc3sbO1jp6KKK3POCiiigDU0/wD49Nc/7BcP/p60esutTT/+PTXP+wXD/wCnrR6y6ACiiigAooooAK1Nc/5DWsf9hTUP/SuasutTXP8AkNax/wBhTUP/AErmoAy6KKKACiiigArUh/5Auof9hTR//STXKy61If8AkC6h/wBhTR//AEk1ygDLrU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhoA+jKKKKAP44vFXxP8YeOtQh1fxv4v8AEfjHVbayj0631PxVruqeIdQg0+Ge4uYrCG91e6vLmKyiuby7uI7VJVgSe6uJVjEk8rNS8P8Aj3X/AAnq9p4g8K+IdW8M69p/2j7Brfh/U73RtXsvtVrNZXX2TUtOntr22+02VzcWlx5Myeda3E1vJuilkRvBf7c/2/8Ax7/7Kj+3P9v/AMe/+yr/AFtjVwcMN9ShhsLDBeylQ+pwwmFjg/YSUlKh9Ujh44T2MlOalR+q+xkpzUqUlOSl/kZLD4ueJ+uzxOLnjfaxr/XZ4nFTxnt4OLjX+uSryxft4uEHGt9a9tFwg41ouEHH+t668IeMvjj+xB4K0XRdatLj4j+JPgz8IvF/h/WPGWra6mlav8QfD+meEPHugnxtrelx6h4iOh6/4p0aytvF2o2lrqupyaTf6nOun6rOxsrm5+zf8MfjD4S0fxrL8bfDPwjGtfHHx78Svir8UtA8CeOvFHjjwr4H1nWYfA/hLwV8PPCd74t+FPga7+KXh668C+G7m88ZeOvEWifDG6t/E0EdjpPw51HR9dkuvDnX/s++I9B8Mfsk/BDxb4p1vSPDfhnw/wDs6/DTxF4i8R+INSs9G0LQdD0r4a6LqWra1rWr6jPb6fpek6XYQXF9qOo31zBZ2VpBNc3M0cMbuvqvw5+JXw5+MPgrw/8AEr4SeP8AwT8Uvhz4stZb7wt4/wDhz4q0Lxv4K8S2UF3cafPeeH/FXhm/1PQtZtYb+zu7KW406/uYY7u1uLZ3E0EqL/lPnMYUuI+KJUIxSlm+Z0qtOKj7PD0P7dzdYVRpU4wjho1Z5fhlRbVOEqmU0I4RQlhsRB/6uZK5VeH+FvbylKVPJstnRnOUnOtWlkWTVMTKU6kpSxFSj9crV5vmqTg8xqVcU5wr4eUfzT1j9n39uHw14X/Zh+C/gnw3+zP8QPgF4Kuda1/9ojRPE/7QPxT+Dvi7xx4iT4jv4m8C6Jo9/of7K/xotfEnwp0DTrq58T+M/A00/wAMtZ+J/jDTPCng3W/G2nfCGD4jeEvir6b+yP8Asiav8BfjP8ZPiC/wj/Zt+C+meMrnxal/qH7O+p+Jr7Xv2m9f8XfEK98eP8cP2irPxb8O/DWvaH8TPD63N/oWgaFf/FP9oW30uy8X+LI9E8eaDpEsGgz/AFjrf7RX7Pvhq9+GGm+I/jr8G9A1H4269deFvgxp+t/E7wTpV78XfE9jPHa3vhz4YWt9rkE/j7XrO5mht7rSPCkerahbzyxwy26SSKp2PAvxq+DfxQ8Q/EPwj8M/i18M/iJ4r+EXiCPwn8V/DHgXx54W8XeIfhh4qlF00Xhn4h6LoGq6hqXgrxBKLG9MejeJLbTNRcWd0VtiLeXZ5OEtQjT+ry9pyYTE4VVE1UnPCQwfD+CqQq1KKi8RSwGDo5HTg67q0sJHMMFOvBTxmS1o+tibVrRrNQiq+GrKkrU4RxE8fn2PpzjCd3GtjsbVzmcpRaq4l5biaOGnCGAzai/TKKKKYwooooAKKKKACiiigAooooA+fv2pf2kPA/7I/wACfHf7QnxI0rxXrfgv4exaDNrWmeCLHSNS8T3S+IfE+i+FLIaXZa9rvhrSpmi1HXbSa6F3rVkEso7mSIzzpFbTexaL4itNe8LaT4ssLa/ax1nQLDxFZWbwxHUzaajp0WpW1s1vDPNCb8wzJE0MVzLEbjKRzuuJD+ZH/BbbH/DsT9p3OQPsXwwyQMkD/hdHw6zgZGT7ZGfUV+T3wn0r9lL4c/tkf8E/dV/4J8fFm/8AG/i746fC74rTfthRaV8VPEHxFvvF/huH4V2fib/hI/jXpviHxLq7eDPGsviRNZ1m78KXdpoU1hr+nW8sHh3S9QsrKO95FXk6Oc30qYfE0sPg6lOMakqEp8H8R586mKw70eCWKyRfWMdOSjg4TpwlSq0pV2t6lNQhl9VfDVpZjWxMKjdOFWGDzrhrAqnRr68uMeGzqp9WwcYuWNqppTpThR5v6Xvgf8V/+F3fDPw/8Sv+Fa/Fn4Rf8JBLrMX/AAgHxw8Hf8ID8TNE/sbXNR0TzPEHhX+0dW/s2LVf7O/tfRn+3zfbtDvtO1DEX2ryU9Zr+MP4MfDTw58YvhH/AMEJfhj4xm1+Lwn40+Kf7dejeJofDPiLWPCeranoMnxBmm1bQl8QeH7uw1vT9O8RWEM+ha4dKv7G+udD1HUbO3vbSS4W4j9E8WWXjH9kn4Zf8FyfgP8Asr6p418HfDT4Ra/+zBfeCvDek+JvEesXvw68OfFEBPi5qvhvVNRuNV163lvfC4/s7V9Xmv31GLw9pkF7faqZ9JTUE78Uo0pY3lUKfsp5zSwqqVWqEp5Li+BsFXnjMTUjzYPDVJ8bYXESrqnifq9HBY+VSHs6dBzzpU3OrRp814zxmCo15cqU6VPNM044wOFWHppv61VpLg6alCUqDq/W6Fpyr+2i/wCl74j/ALVnw8+GH7Rv7Pv7MWv6N4zvPHv7SNj8RL/wNq+j6dodx4Q0qH4Z6A3iLXl8V3974i0/WbGW7slMWkLpGga6s91hLx7CH9/XpXxJ/wCYL/3Ef/bCv5j/AILeAP2D/hx/wUw/4Jg6J+wt8Q7bxd4f1PwB8avE/wARtE0n4oar8SdN0vxPq3wQ1q2s/E+v299rmr2fgf4meL7TTJrbx14T0608OCzi8MeHkuPC2hxwWUU/9I/iTwfpPhTxf4h8b6Xd+KbrWviL/ZP/AAkFl4k8c+NvGXhDT/8AhEdLg0jSv+EE+H3i/wAQa54B+F32u0uZJfE//CsvDXhH/hNtUWDW/Gf9v61a21/DpUoKlhaE25yqyxvEGGqSlTdKMo5Znk8toOnDmmnT9lSqctdTl9Zi4VmozU4nJCv7bEWhFU6M8p4fx9Om5c1WE80y7EYytGu7RdOspRpKphnH/ZZxqUlKaldcxX+bn/wXx/5Sz/tX/wDdCv8A1mr4OV/pQf2xd/8APHS//BHov/yvr/Nk/wCC/Ez3H/BWv9rGaQRK7/8ACiciGCC2iG39mn4NqNsNvHFCnCgtsjXc2XbLszH6vgb/AJG2I/7F9X/1Iwx81xl/yLKH/YdT/wDTGIPx2r/YQr/Hvr/Yk/ti7/546X/4I9F/+V9ejx7/AMyr/ud/91Tg4J/5mX/cp/7sGXRWp/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1+dn3hl1qaf/x6a5/2C4f/AE9aPR/bF3/zx0v/AMEei/8AyvrSsdVumttYYxaaDHpsTrt0fSEBJ1fSo8SKliqyptkYiOUOgcJKFEkcbqAczRWp/bF3/wA8dL/8Eei//K+j+2Lv/njpf/gj0X/5X0AZdFan9sXf/PHS/wDwR6L/APK+j+2Lv/njpf8A4I9F/wDlfQBl0Vqf2xd/88dL/wDBHov/AMr6P7Yu/wDnjpf/AII9F/8AlfQAax/x9w/9gvQ//TLp9cJd+JPsvjTQPCH2LzP7c8L+L/En9ofaNv2X/hFdV8EaZ9i+yeQ3n/b/APhMvP8AtH2mH7L/AGd5XkXH2zzLX03VdVuo7mJVi00g6bo7/Po+kSHMmkWMjANJYswQMxEcYISJAsUSpGiIvDXfju7tfGmgeEP7N0uT+3PC/i/xJ/aH9maKv2X/AIRXVfBGmfYvsn9kN5/2/wD4TLz/ALR9ph+y/wBneV5Fx9s8y1wry5I037X2XNicNC/Jz8/PVcfY2+z7f+H7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/2ff619V1+tc3sbO1jTorU/ti7/AOeOl/8Agj0X/wCV9H9sXf8Azx0v/wAEei//ACvrc84y6K1P7Yu/+eOl/wDgj0X/AOV9H9sXf/PHS/8AwR6L/wDK+gA0/wD49Nc/7BcP/p60esuumsdVumttYYxaaDHpsTrt0fSEBJ1fSo8SKliqyptkYiOUOgcJKFEkcbrm/wBsXf8Azx0v/wAEei//ACvoAy6K1P7Yu/8Anjpf/gj0X/5X0f2xd/8APHS//BHov/yvoAy6K1P7Yu/+eOl/+CPRf/lfR/bF3/zx0v8A8Eei/wDyvoAy61Nc/wCQ1rH/AGFNQ/8ASuaj+2Lv/njpf/gj0X/5X1paxqt1Hq+qxrFppWPUr5FMmj6RK5C3MqgvLLYvJI5A+aSR2dzlnZmJJAOZorU/ti7/AOeOl/8Agj0X/wCV9H9sXf8Azx0v/wAEei//ACvoAy6K1P7Yu/8Anjpf/gj0X/5X0f2xd/8APHS//BHov/yvoAy61If+QLqH/YU0f/0k1yj+2Lv/AJ46X/4I9F/+V9aUWq3R0i+k8rTdy6lpSADR9ICESW2sMxaIWIjdwY12SOjPGDIsbKssocA5mtTQ/wDkNaP/ANhTT/8A0rho/ti7/wCeOl/+CPRf/lfWlo+q3Umr6VG0WmhZNSsUYx6PpETgNcxKSksVikkbgH5ZI3V0OGRlYAgA96ooooA/gs8afFHWvH2qW+sa5beELG7ttPi02OHwX8PvAnw20traG5urpJLjQ/h34b8LaJd6gZbyZZdWutPm1Se2S1s57yS0sbGC3z/C/j7UvCGu2PiLSYtAu9Q077T9nt/FHhTwx440KT7XZ3FjL9u8L+NNH8QeGdU2QXMj239paRd/YrxbfUbPyNQtLW5h8B/ts/3x+Ro/ts/3x+Rr/TeNehHD/VI06ccN7OVH2CU/Z+ykpKVOzqOXK1OSa9rf3n760t/mVKjiJYj63KrUlifaKt7d29p7WLi41Lqko8ycYtP2VvdXuPW/9t154f8AGHxg/wCCdngOy8MaFp/iLxh4h/Z7+Cniy18E6XbeEPB+keN7vR9C8E+NdQ+HNjZ3NnpvgPwxpXj230u78FQWk1ppHhLRrLW1hf8AsjSLYy2tv9mrwJ4t1Hwb8XtK+MvwC8R/DzQf2nPiR8bvibrfw18S698KNdHw88LeJ4PBvg5Ph/8AE6X4a/EXxXoN343+KlpF4i+IGoRfDDU/iF4Js/tniWy8S+PofEM2nDxL65+x6/m/skfstSdfM/Zz+CL59d/wz8MN/Wvoyv8ANfOKVKGecSXpwqUsXmObYWdCrCE6KoLNcfCcFCUZqcasMJgYThWVaHs8M6XJUpYvGUqv+keUSnUybhubnONXB5ZllenVhJwqOtPK8uqRqSnFwlGVGtXxVanKm6cvaV024fVsNKH4UX37JHx08GfBX4S/BLwd+zgNYsfFfwMi/Z2WXw54k+B/h/wV+yOuhftBxfELRvHWr6dqXi3RdZufBQ8JzaRqulaX8DNO+IPiXT/Enwt8FaRH4O0ZJovEmifT/wCx/wDB/wCMfhT4yT6j8QPg5qfwx0H4O/BzxR8DLbx/rPiX4V6z/wANKav4g+Nep/EW2+KPhbTfht4n17XNJ8MW+m21xrt/H8WtE+HvjJPGvxO8UWen+DpLK01HxLrv6cUV52Hi8O1LnnWmqSpupXlz1JuGXf2XRq1J6zqVaWGr5lKU5zl9YxOaYjE4huth8JOp31qcK1rpU4qpGpGFKMYQhbGfXalOEVFRhTq1aOXQ5YxiqNHLKNKglHE4yxRRRVFhRRRQAUUUUAFFFFABRRRQBynjfwH4H+JnhjVPBHxI8G+FPiD4L1tbVda8I+N/DukeK/DGrrY3ttqVkuqaBr1nf6VqC2eo2dpf2ou7SUW97a211EEngikXkvBfwE+Bfw317xN4q+HfwX+E3gLxR40jlh8Y+JPBfw58H+Fte8WQz3LXk0XibWND0ex1DXo5rx3upU1S4ulkuWadwZWLn1iikoxXtLRS9rGUKtkl7WE6bozhVsl7WE6LdKcKntISpN0pQlSbptttqKbbUJRnBNtqE4zVWM4JtqE41YxqxnFRlGpGNSMo1IxqLyDSP2evgF4fT4fxaB8D/g/ocXwmvNe1H4Vx6R8NPBemp8M9Q8UztdeJ774fpZaLAvg288R3Ltca9deHBps+rzs0uoPcSEsej074V/DDSNc8d+JtJ+HHgLS/EnxRisYPiZ4g07wf4estc+IsOmWNxpemw+O9WttOiv8AxdFp+m3d1p1jH4guNQS0sbm4tLcR280kbd5RTl7ykpe8pxrxmpe8pxxKpRxMZqXMpxxMaFCOJjNTjiI0KMcRGvGjRjSE2mmm01KnNNNpqdGpVrUZpppqdGtXr1qM01OjWr16tKdKrWrVa3hHgz9lr9mP4c6p4f1z4e/s5/AjwHrXhO/1zVfCuseDPhD8PvC+qeGdT8TaXa6H4k1Hw/qGieHrG70a/wDEOi2Njo+uXmnTW1xq2l2drp9/JcWlvDCnT/En/mC/9xH/ANsK9Qry/wCJP/MF/wC4j/7YU3KUklKUmleycpNLmacrJyaXM4xcrJczjFy5nGLjKik3JJKUklKSSTajdRTaSbUVKSim2oqUlFR5pX8vr/Nz/wCC+P8Ayln/AGr/APuhX/rNXwcr/SMr+cD/AIKBf8HDf/DEn7V/xK/ZX/4ZC/4Wb/wqO18D23/Cd/8AC/8A/hC/+Eg/4TjwD4Z+KG//AIRf/hSniz+yf7L/AOE4/sPb/wAJDqX23+y/7T3Wn23+z7T6XhSvjMPmFaeCwX1+q8HUjKj9Yp4blputQbqe0qpxdpKMeRK75r7Jnz/EtDC4jA0oYvF/UqaxUJRq+wniOaapVkqfJTaaunKXM3Zctt2j+C6v9hCvx5/4JPf8FYf+HoH/AAvz/iwf/Cj/APhR3/CrP+ap/wDCy/8AhKP+Fl/8LG/6pz8P/wCxf7F/4V//ANRb+0v7W/5cPsH+m/sNWvFWaYjHYihhcVgfqNfA+054fWYYnm+swo1I+9ThGCtCMXpKV+azs00Z8N5bRwVGtiMPjPrlHGez5J/V5Yfl9hKtCXuznKTvKTWqjblurpoKKKK+UPpQrU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooAKKKKACiiigDU1j/j7h/7Beh/+mXT64S78SfZfGmgeEPsXmf254X8X+JP7Q+0bfsv/AAiuq+CNM+xfZPIbz/t//CZef9o+0w/Zf7O8ryLj7Z5lr3esf8fcP/YL0P8A9Mun1wl34k+y+NNA8IfYvM/tzwv4v8Sf2h9o2/Zf+EV1XwRpn2L7J5Def9v/AOEy8/7R9ph+y/2d5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/wCH7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/AFf6vgo1f7Q5rr2v9n3+tfVdfrXN7GztY6eiiitzzgooooA1NP8A+PTXP+wXD/6etHrLrU0//j01z/sFw/8Ap60esugAooooAKKKKACtTXP+Q1rH/YU1D/0rmrLrU1z/AJDWsf8AYU1D/wBK5qAMuiiigAooooAK1If+QLqH/YU0f/0k1ysutSH/AJAuof8AYU0f/wBJNcoAy61ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAPoyiiigD/ADfPH/ir4a6lrNtP8LPDPjnwb4fTTIYrzTPH/wARNA+JWsz6yt1evcX9trvh34YfCeytNMlspNPt4dJl8O3t1BdWt7ePrVzDfwWOnZng/wAS+DrLxHp114/0fxN4m8Ixfa/7W0Twf4t0vwN4jvd9jdR2H9neKda8FfEPTNL+zam9ld3f2nwfrH22xt7rTof7PuLuLVLL5/8A7Yb+9+o/wo/thv736j/Cv9AlXUaHsPa13H2bp+0liKksTZqS5vrL/e+1XN7tW3PFqLS91H8BPCOVb2/saClzqp7OOHpRw900+X6sv3Xs3y+9SvySTkm/eZ/fzqHiZdE/4Ja+BfFHgbUPFXgDw5F+yl8FbubXYPFkx8c/Dv4UXvgzwTH438TW/jvw34d0OdfF3gX4X3PiDXYPGGg+GfD0setaOmuaXpugMsEdl4B4H+NHh2L9h39oOL4aftD+IfGvwztPF3xel+Afxju/jp4n+JPxK1v9kjwr4l+H2lfGH4ufD74569rfjD4n/FLQ/g4/jTx3p3h341N4g8X6hpq6Z4Nx41vG/sPWbn75/YdfzP2Kv2QJP+en7Ln7P7/99fCfwk39a+o6/gfNaVs24ju41Y4vHYmkoVvaTg3hc6rYj/aGqkZ1YVfqcqMvZOhVdHNc6551Z4nD+z/vDLJc2WcPPWi8Ll1GUpUOSE74vJKGHjOhdOnSqYeWLjWp+0jWpqplWTKEaccNiHV/BT4e+FfA3x60/wCAui+AP2gf2nvG3gO+/a++JPh/9nD41eCf25f2t5tI8W/swfCuxt/i7401HXvFngv4/aLYftR+HdT8b+Gte+AnhX4mfGGf4uXcPhrxJbfYvEeuWGn202pez/8ABPbxJrd7+0l+1baaj+0T4c/aTv8AxH4q8feKfGFh4O+JH7TGsw/sm6jafGHxTb+A/wBnj4i/C/43ftEfErwb8N/H934I1zzLLT/h3+z1+yU66L8O7ldX8JfEWCfTfFtl+wlFc9GXsaileVWP1PF4Wo6rjKrXqYijlNCOLqys6cMTP+zXXxtXDxhVxWIlT9nLD0KmY08X0TpynT5bwpv6xhKsVSjKNOlRw+MzXHPC005upKjCpmUaGEjVk40MLSdOt9YlSwPsCiiipNQooooAKKKKACiiigAoor+cL/gpZ+3J+1P8Mfi98dNK/Z3/AGlbnQ7D9n/wd4Q1O++D3wG/ZRk/aL16wfWfDd94l1rxl+1V8UviL4b0j4efAnwhbXsFjo+lzeBvFXjrXV0TUYtV1fwfaXtrdOMauIp0alGFTmSquq3NR5lSpUIU6levOEX7SUKUatNyVKDklLmlUowi6ktqdCdWFWUOX92qSUZPldSpXqSpUaMJNciqVJQqNc8l7tOXLCtL92v351z4v/Cbwz4g1nwn4k+KHw78PeKvDvge/wDid4g8Na5428NaT4g0L4a6XO9tqfxC1nRr/U7fUdM8D6dcxyW9/wCLL22g0CznjeK41CORWUdF4b8X+E/GXhnS/GnhDxR4d8V+Dtc06PWNF8WeG9a03XfDOsaTKhki1TS9e0u5utL1DTpI1aSO+tLqa2dAWWUqCa/nF+Jn7QXjT4z+PvifrHiXw74F0Nvib/wQF8Y/GrXLfT/h34Kj8V6b4s8W20l1qWkWXxNvPDknxYXwbbvqM/2TwPeeM5/CyXKw6pNpE2sx/wBom5/wSb/al+IXxwtfg/8AAnw54+b4VfCj9mT9jvw/q+pfDnVfBOiy+Lf2n/E2qPqvhvWvF+mav4w8N6lLa/Bv4V+ILE+F5rjwPeaZqeseM/OTVdSvdDuobGy0rKrQp5rCrGKxWWYDGY2Si3UocuWYzxBw2ZTqNctV0qC4Lw6oww/tMTiamZSlGnSw9OVXL8VKnNYOtBy+r4vEYDD3mlGqp5nlXDGPwVKNuakqtWvn2JpTnVcMLQpYDmnXq1a1BY7+iTwP4+8C/E7wzp/jX4beNPCfxC8G6s16mleLfA/iPR/FnhnU302+udM1FNP17Qby/wBKvWsNSs7vT71ba7kNrfWtzaTiO4gljWDQviP8PPFPijxh4I8MePPBniPxp8PZdKh8feENC8UaHq/ijwPNrttLe6HF4w0DT7641Xw1LrNnBPd6VHrVpZNqNtDLPaCaKN3H81P7Pf7V37UHij9mD/gmb+zl8BPHHwx+APxO/a28bftNy+I/jLpPwM+GNl4a8CeE/g78Q/Fup3dj4N+D3hrwn4c+E03iDxLYLNFPbjQdNl1TU4Y5bm/sNU8Q3vie05LwN+0B8cf2E/HH/Baj4ueONZ8HfG/48/D64/Y48OReL7fw1N4U8IeMvEPiXTNb8G+GvHPiXwfoGo3aeH5jpOq6d4l8X+FdG1Wy0r/hIotR0LRL/R9LubC4tOirT9nisTRUasqdOlmkcJGKhLE5hjsur8H4H6vhopxoqnLM+LcPl854ieFk6ip1qKnhYYrEDUJyiow5JYj6/l+HnFtxo4bCY/M+KcFTr4iclze0eG4YxOLhGhGtBLmVZUnWwtJf1bV5f8Sf+YL/ANxH/wBsK/JXwX8XP25f2SP2of2R/hH+1V+0b4S/ax8GftmWvirw4DpHwb8IfCfxB8FviF4N8O6f4gZ/Dc3gqKzbx74N1K51y30nVNY8SaVp91DZWsGrpp3huWG4sdZ/UHxJaeNrXxf4hvfF/iDwtrngHUP7J/4Vl4a8N+D9W8KeL/CP2TS4IvGf/Cd+N9U8c+MtF+Iv9v601tf+GP8AhH/h98Lv+ER0uGfSNV/4Ta7uY9btZlTtTjVjOnUg8RjsHN0237PF5biIYbG4eTcYqUqU61CcKtNzoV6OIpVqNRxlKMMadaNRx5VLlqYXBY6hOStGvgsxo1K+DxMFdyjGrGjXjKlVjTr0atGpTrU4vllPmK/zbf8Agvp/ylo/aw/7oV/6zV8G6/0pvO0X/oH6p/4OLT/5R1/mvf8ABfowN/wVt/ayNvHLFCf+FEbI5pkuJV/4xo+DQbdNHBbI+X3MuIU2qQp3FS7fX8Df8jbEf9i+r/6kYY+a4v8A+RbQ/wCw2n/6Zrn7A/8ABp5/zfx/3az/AO/G1/YZX8fv/Bpm9kn/AA339st7qfP/AAyv5f2a8itNmP8Aho7fv82xvfM3ZXbt8vZhs79w2f2Ledov/QP1T/wcWn/yjrzuK/8Akf4//uW/9RKB3cN/8ibB/wDcf/1JrGXRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdfOnuGXWpp//AB6a5/2C4f8A09aPR52i/wDQP1T/AMHFp/8AKOtKxl0g22sbLHUlUabEZQ2q2rF0/tfSgFjYaOgjcSGNy7LKCivH5YaRZYwDmaK1PO0X/oH6p/4OLT/5R0edov8A0D9U/wDBxaf/ACjoAy6K1PO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjoAy6K1PO0X/oH6p/4OLT/wCUdHnaL/0D9U/8HFp/8o6ADWP+PuH/ALBeh/8Apl0+uEu/En2XxpoHhD7F5n9ueF/F/iT+0PtG37L/AMIrqvgjTPsX2TyG8/7f/wAJl5/2j7TD9l/s7yvIuPtnmWvpuqy6QLmLzLHUmb+zdHIKaraxgIdIsTEpVtHkJdIyiSPuAkdWkWOJWEScNd+KdFtfGmgeEP7D1ST+3PC/i/xJ/aH/AAkFov2X/hFdV8EaZ9i+yf8ACON5/wBv/wCEy8/7R9ph+y/2d5XkXH2zzLXCvLkjTftfZc2Jw0L8nPz89Vx9jb7Pt/4ftP8Al3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/2ff619V1+tc3sbO1jTorU87Rf+gfqn/g4tP/AJR0edov/QP1T/wcWn/yjrc84y6K1PO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjoANP/wCPTXP+wXD/AOnrR6y66axl0g22sbLHUlUabEZQ2q2rF0/tfSgFjYaOgjcSGNy7LKCivH5YaRZY83ztF/6B+qf+Di0/+UdAGXRWp52i/wDQP1T/AMHFp/8AKOjztF/6B+qf+Di0/wDlHQBl0Vqedov/AED9U/8ABxaf/KOjztF/6B+qf+Di0/8AlHQBl1qa5/yGtY/7Cmof+lc1HnaL/wBA/VP/AAcWn/yjrS1iXSBq+qiWx1J5BqV8JHj1W1jRnFzLvZI20eVo0ZslUaWQqCFMjkbiAczRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdAGXRWp52i/9A/VP/Bxaf/KOjztF/wCgfqn/AIOLT/5R0AZdakP/ACBdQ/7Cmj/+kmuUedov/QP1T/wcWn/yjrSil0j+yL4ix1IRjUtKDodVtS7ObbWPLZZP7HCqiqJQ6GJzIXjZZIxGyygHM1qaH/yGtH/7Cmn/APpXDR52i/8AQP1T/wAHFp/8o60tHl0g6vpQisdSSQ6lYiN5NVtZEVzcxbGeNdHiaRFbBZFljLAFRIhO4AHvVFFFAH+Wn8Sbn4V6Xrtpb/B/xx8QvHXhp9JgmvtX+JPw08N/CnXbfXWvL9LnTrTw74X+Lfxm0+90mHT49MuYNam8UWF5cXl5f2Mmg2sOnW+oapk+B7/wRqHijS7T4k+JvFnhPwVL9t/trxB4H8HaN8QvFGn+Xp13Lp39l+D9e8efDHSdX+1aslhZXv2vxxon9n6dc3eqQf2lc2UOkah8+f2sP+eh/M0f2sP+eh/M1/aKxclS9l7es3yOHt3OLr3d/wB5zKjGn7RXun7DlvGN6bs1L+OHg4ur7X6vSS51L2KU/YWVvc5XVlU9m7Wa9vzWcrVFdOP+lX4V8Z3fw5/4Jc/BXxL8JfFeq2H2T9lT9nXRvBXxI8QeGfDOm614Y0XxP4N+H3hSy+KmveDtU17xX4O0/UfBuh6yfHur+GtQ8R+LfDdnPo9zplzqXibTI3lv8HR/jB8Y/C/7KP7TVvf/ABj1Px/48+CXxj8X/Azw7+0b4i8NfCuz8TyaRca34L05fij408PeFPDHgr4K3nif4Ox+PNVt/EsejeBvDXg3Urz4bXLat4OtbibWNHb2n9h7QtB8Yf8ABPD9kDw14p0XSPE3hjxP+xj+z/oniLw74g02z1nQtf0LWvgh4SsdW0bWtI1GG50/VdJ1Swubiy1HTr63ns720nmtrmGWGV0b2vw/+zp+z54T8F6P8NvC3wJ+DXhr4d+HvBXi/wCGugeAfD/ww8E6N4L0P4c/EG6sr7x74A0fwtp2h22h6Z4K8b32m6deeL/CtlYwaF4lurCyuNZsL2a1geP+NcxhL+0s/wCZ+2jicVWp0oTqVYe/Qzadeo6lSnyToKvDDYrDzq4JUq04Z1jZ1E5YHAUz+vcA08BkTh+4+r4KLqypwhO/1jKIUcPKFOo5U6zwtXEYWvGlinUpJ5Ng4w/37MJP8dvEfxt/bT0rxVo3h/w9+0BrHj34V/sm/FX4zR/tJ/Ei18Y/steAvjv8bPh14V8ZfBxfBen3vwtt/wBjD40aB4613TovEPxO+Gniex+EPh/9jnw/rniLw9bRt8ZPh94phn0tfrX9j/4wfGPxX8ZJ9O+IHxj1P4naD8Yvg54o+Odt4A1nw18K9G/4Zr1fw/8AGvU/h1bfC7wtqXw28MaDrmreGLjTbm40K/k+LWt/ELxk/jX4Y+KLzT/GMdld6j4a0L62sv2S/wBlXTdN+Dmjad+zN+z7p+j/ALO2q3Ou/s/aVZfBn4c2um/AvW726W+vNY+DljB4bjtfhjqt3eqt5c6h4Ji0S7nulW4lmeYB67bwL8Ffg38L/EPxD8XfDP4S/DP4d+K/i74gj8WfFfxP4F8B+FvCPiH4n+KohdLF4m+IetaBpWn6l418QRC+vRHrPiS51PUUF5dBbkC4l340G6XIqsnX5KeMjOrKEY1MTUxGEoUVWrQX7mDqYmnTxnJQhTWXfUKOFwLrUs2zWtDSrCdSMVTcaKVXDzjCEqko0qVPG4zEuhCpJ+1qqlQrvCRqYiVSeNhi6k8XGispyqlU9MooopGwUUUUAFFFFABRRRQAV+Xnxo/4JL/s8fG34pfGH4m6t8Sf2l/BFr8f9IisfjJ8L/hj8Yp/B3wm+Imr2Hh288P6D4s8V+FIdBvLrW9c8Ny3Fp4h0ex1HWbnwidf0q2m1PwvqWm6h4h0vWv1DorOVKnOSlOEZSVOvRu1e9HEwp08RSkr8s6dWNKjzwnGpBzoUKqjGtQoVqNxqVIRcYycYupRqtK38XDzlUoVFdNxnSnOpyTg4SUatam5OlWrUqv522f/AATP+B1pdPfP42+Md9dSfsQT/sDST33iDwXJI/wdnRYv+Ejdovh/CX+JcUSJHHrbE+G2CBpvCE0hZ22PDv8AwTo+CXhCf9lTU/Cvij4o6B4l/ZH8Fav8NPBXi7TtX8Gr4h8e/DjXtNk0zVvA3xZlm8CTab4n8O3Ec91e2sGj6b4ZutG1a8utV0K80y/l89fvqitardZ1ZVX7R13KVZy3quVXPq0+drlbVSpxRxFKqtI1VnWYQqxqU66pUc4xUIxhBKMYQVOMVtGEcPluFjFLWyhh8nyqlB/FTjl+FlTlTqUlVl+X1/8A8Elf2bLv9nf4Jfs9WfjD46eHD+zp4v8AEvjf4N/G3wn470Twx8evA+ueL/Fd/wCLvEL6R4y0bwdaaFBBqF/ex2xRPCKzQW2maRc288Ws6fFqtanwo/4JS/swfDHQP2k/C+saj8W/jVof7WOk+CNO+NFv8cPHkXjXUtf1HwRDqkkHi238T2Wh6B4tt/GOueINYvfGOra9Pr13PY+KRaX3hNPDNpYWVhB+ltFKf7z637T3/r0a0MXza+2jiaeAp4hS/kdeOVZY6rofV5VKuX4PETlLE4eniY0pSTpNNp0K0K9JpuLhWpYrHY6lUvHlcnSxeZ5jXpKo6saUsdi40oU6derRl+cv7N3/AATI+Cn7OfxI8O/Fmb4nftG/H/xv4A8LSeC/hJqP7SXxVT4lWvwX8NXdnLpmp6X8K9Ls/DvhrTvDEGqaQ0OjXG62vjZ6VbLY6OdMgutTW/8Asr4k/wDMF/7iP/thXqFeX/En/mC/9xH/ANsK0nVqVFFTnKSh7RxUne0q1aeIrzbsnKpXr1J169ao6lavWk6tetWqPnM404QlKUYRjKapqTire7RpqjRpxS92FKjSiqVCjTjSoUKa5KNCjBuL8vr/ADbf+C+n/KWj9rD/ALoV/wCs1fBuv9JKv5v/APgoE3/BuwP2r/iUP24D/wAZWfZfA/8Awt7j9uT/AI+f+EB8M/8ACDf8ki/4tx/yS7/hBv8AkWP3f/QY/wCKi/tivouFcasDmFas8Li8XzYOpT9ngqPt6sb1qEueUOaNqa5eVyvpKUVbU8LiPC/W8DSp/WMLhuXFQn7TF1fY03alWjyRlyyvN811G2sYyd9D4z/4NPP+b+P+7Wf/AH42v7DK/Kn/AIJVeAf+CYen/D/4rfFL/gmJpPk+BPGPjHRfAHxP137d+0HJ/aPi34a6I/iLR9J/sz9oK8fWbP8AsXRviu159v8AD2n2umaj/b/2e6vb+60sQad+q1cOf4qONzfGYiNKvQU3Si6OJgqdenKnQpU5RqQUpcrvG6V78ri3a9jsyXDvC5ZhaDq0a3KqklVoT9pRnGdapOLhO0eZWdm7Wumle1wooorxz1ArU0//AI9Nc/7BcP8A6etHrLrU0/8A49Nc/wCwXD/6etHoAy6KKKACiiigAooooA1NY/4+4f8AsF6H/wCmXT64S78SfZfGmgeEPsXmf254X8X+JP7Q+0bfsv8Awiuq+CNM+xfZPIbz/t//AAmXn/aPtMP2X+zvK8i4+2eZa93rH/H3D/2C9D/9Mun1wl34k+y+NNA8IfYvM/tzwv4v8Sf2h9o2/Zf+EV1XwRpn2L7J5Def9v8A+Ey8/wC0faYfsv8AZ3leRcfbPMtcK8uSNN+19lzYnDQvyc/Pz1XH2Nvs+3/h+0/5d25ro9HLaPt6uLj9T+u+zynNsRyfWPq/1f6vgo1f7Q5rr2v9n3+tfVdfrXN7GztY6eiiitzzgooooA1NP/49Nc/7BcP/AKetHrLrU0//AI9Nc/7BcP8A6etHrLoAKKKKACiiigArU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmoAy6KKKACiiigArUh/wCQLqH/AGFNH/8ASTXKy61If+QLqH/YU0f/ANJNcoAy61ND/wCQ1o//AGFNP/8ASuGsutTQ/wDkNaP/ANhTT/8A0rhoA+jKKKKAP8jD4p+HfCnw+8QWejeEvjT8Nvjlp1zo1vqc/i34WaV8YdI8P6dezXuoWknh28tvjZ8KPg94qfWbSCyttTuJ9P8ADN94fay1fT47TXbnUYtV0/TMbwBYaD4y8XaT4b8RfEfwf8J9G1H7f9s8f+P7H4g6j4R0D7Hpl7f2/wDa1l8LPAvxK8eTf2rdWsGi2H9heCda8vU9RspdT/s7Ro9Q1aw+e/7Z9/8AP/fVH9s+/wDn/vqv6gWLmqfI60nPla9s40lLmd7T9ml7K6uvd5eR2V1qz+aXg4OpzqilDmT9leq48qteHO37Wzs/e5udXdnoj/VX+DnjPVPgp/wS6/Zu1/4eax4Q8eeINA/ZK/Zk8K/DzxQNM8bT/DvxH4j8SeAvh14E8E+MbvSL/SfBnxDb4fXGs63pXiTUrHU9H8GeLV8Ki5i1K18LaqLgafpaL+0Z8b9H/Zt+OuseNk+FviL9oL4KfE/WPgZH4l8JeDvG3hn4O+L/ABvrGo+DLP4c+OJPhxe+OfHfjrwp4SS3+JnhG68c+Ej8UPE9/ZNpHiZdN8c/YZbLU7Wf9iDwP4U+Kn/BLz9jj4feOtKGueDvHX7Cf7OHh3xJpX23UdMkvdI1n4C+C7W8jttV0e80/WdIvVimMthrGjahp+saTepBqOlX9nqFtb3MXseg/sgfATw58Lr34NWHh3xhd/D3WPD3xG8OeJNM8Q/GL4z+LdY8ZL8WNUsda8ceJ/HvjLxV8QdZ8a+PviVf6lp9vc6R8WvGfiHXfij4RD3kHg/xfoNvqWow3X8x42NR47O+dyqRrVpRoRjV9jP2lPM/a4hwqxpv6lKtRo5hh5V6arc7zXD1XCnHJ4Rqf0fhLfVMm9nal7HDSddyh7WD9plns8G5UpS/2qFDEVcvrOhOVO0crxEXKo84qey+JNW/aR/bh0/SdFtYfFv7H83jT4d/tF337PHjrQW+EnxmOr/taeNZtS8IeLNC8N/s8+FLb48XF7+zvcxfBHVvEni/xn4m8Za7+1Vp/gpvDPinxlr2h2fwv8BeIvE9z7N+yb+0P+0d8S/jd8ePA/7Q3gj/AIVZoVpr3jjVP2bfCmqfBrTPAXiXxd8H/A/xQ17wFL8RLzxpYftcfHLWvF1pqtjN4A1JYvHn7Pv7J+rRT+JzP4X8N+PvD4n1zStdf+CZ/wCyRBr/AMMPFunaN8d9B8YfCGy8Y2HhLxl4X/bL/bM8K+MtSt/iL400f4hfEFviX4t8N/H7SvEfxpu/Hni3w74c1LxnqHxj1Px5f+KYPDfhzSNdub/RdA0jTrP6B+FH7Nfwf+CfiPxr4q+HWh+ItN1Xx3eTXWpQ678Sfib460Dw5bXOo3WsXfh/4XeE/HnjDxN4V+C/gu91e8m1a+8B/CDRvA/gu91NbXULvQJruxsprdYdqDXt7Vm8NjKVSXIoxeKnRy+FLF4eEPZ+yVfEUK+Ijh8QqlPKaU8ThMLGs8bTxNO6ynKEI0b07VcNL3qilKNCOYZliamHnPkbqyw+Dr4XBTxaca2a8tKdZYSlgPZ4j3aiiioNAooooAKKKKACiivhr9vj9tF/2Hfhl8OviPH8J9Y+Mknj742eC/g9H4T8PeIovD+vxP4v07xJqC6noaTaDrkPiDWIm8Pix03wzK2ixave38Ecmv6YsZd5lNRlRi+ZyxGJwuEoxjCU5VMTjMRTwuGpRjCMpOVbEVqVKOluacb2TRUYylzuKX7ujiMRNtxio0cJhsRjMRNuUoxtTw+ExFRpyTaptJ8zR9y0V+Qvhv8A4KgeP9F8RfH/AOGX7SX7IHiH9nX42/CL9mzxn+1D4H8A3nxj8J/ErQfix4A8E6dq9zqVtB8QfB3hz+yvDOrSX+mrYrDDp3ilLaOPV5rtorzSU0vUPPI/+Cwfi3Q/2aNH/ab+KP7IF78MfCfxY1X4eeE/2ZLHXf2h/hyi/Gfxj4zsddn1qXxJrmq6JoGl/BL4b+Ebjw/dSXHxG+IDImp6Bd6b4kTw5Y2U9zFZvmjySmmpwjSwtXng1OMvruLxWX4WhCUZONTF1cfgcbg1goSeKjicHiqVSlD6vVqI5XfltaXt69CzumnhsDRzOtXacU/qUMuxGHxyx3L9UnhcRQqwqSdWFJ/t7RX84/xz/wCCuvxI+Kv7Df7V+ufBbwFpvwt/aK+Clx4D0rx3J4A/aC+Dvxs8OfD/AOHPxMuDFYfFjwH8VfB1vqng74iXMckI8G6zoHhm3g8R+Ctf1+3vY9Rt9R0dpYPXfGn/AAVz8cfAzwn8Bvhp4y/Zr8OL+0z4r+ENr8TPHXgH4o/tl/Av4SeD/C3gRNZ1Dwt4U8QS/Hj4iPa+FfGfjj4hQaXa+L08CaZa/wBu6ZpWqXjX95c3ejaitJyUViHNqCo1Mtpw15/rMcyy7MM1hWw/Inz0MNg8txM8XU/5cunW54JYatzK11ScfeVSGYTqfZ+rf2fisvwc4YhS1pzr1szwv1ZWaqqth+VuWLw6P3bor8ZPEX/BYLSL/wAGfsVeLPgZ+zr4s+OOo/tm33xQ8L6L4J0zx/4d8KeKvBXxA+Gf9jaZeeFr19T0m/8ADWp2M/iXVmg1HxTe+IvDOlaL4Rs38bFdRs5k00bXgv8A4K16PZ/Cn9sTxf8AtHfs++LfgF8Tv2LdT8I6Z8SPhBaeNdC+KU+sXHxHP2H4dW/hvxto+leHtEvrzxHriSWVyYrObSdM0ybT9fg1nVLG7nWxuonSWKc0/wDY3jI1VFOcqksBiMrwuKjhIQUp46VOtnmTRisHGu6sc1y+dJTjiqdiCdR4WME28ZLCwpJ6cssbPM6WGjibu2DdStkubUP9qdLlr5diqMnz0rz/AGBry/4k/wDMF/7iP/thX4aWH7X37XHxT/4KO/8ABOfwt8XPgb8XP2N9C8a+HPj7r2q/Cp/jZa+OvAHxd8MXPwmu9Z8Jav4mtfCSeG7F/FXhLWbC+OpeCPHnhGDxB4Jmm0HUSY7rWXttO/aLxJ4g1bXPF/iHw1qngbxT4N0Xwj/ZP/CP/EHxJd+Cbrwh8Uf7f0uC/wBV/wCEEsvCHjDxX4+0/wD4Qm7hj0TxP/ws3wR8OvteqXUEvgz/AIS7RVudXttHRnGhRrTUYuriMzw/s1OE5U5ZXmDy6rzypylBSnVUpeyuqlBwnRrpVYu+Sq05V5UacvaRWDyzGxrJONOpSzTC1sVR9nzJOcY06SarRvRrxq06tBundnMV/mz/APBfb/lLV+1j/wB0J/8AWafg3X+lZ/Z9p/0HNL/7861/8p6/zWP+C/saRf8ABW/9rOOOeK5Rf+FEYmhE6xPn9mf4NMdouIbeYbSSjb4k+ZSV3JtZvq+Cv+RriP8AsAq/+n8OfM8X/wDItof9htP/ANM1z+kf/g1v/wCUf/xg/wCzxPiB/wCqV/Z8r+kyv5wP+DWa1gn/AOCfnxheXUbKzYftj/EFRFcR6gzsB8FP2eyJAbSwuo9hJKgNIHyrZQKVZv6U/wCz7T/oOaX/AN+da/8AlPXj8Qf8jvM/+wuX/pugerkf/Iny7/sGj/6XXMuitT+z7T/oOaX/AN+da/8AlPR/Z9p/0HNL/wC/Otf/ACnrxz1TLrU0/wD49Nc/7BcP/p60ej+z7T/oOaX/AN+da/8AlPWlY2NqttrAGsaa4fTYlZli1cCIDV9KfzJN+lKxQsqxARLI++RCUEYkkjAOZorU/s+0/wCg5pf/AH51r/5T0f2faf8AQc0v/vzrX/ynoAy6K1P7PtP+g5pf/fnWv/lPR/Z9p/0HNL/7861/8p6AMuitT+z7T/oOaX/351r/AOU9H9n2n/Qc0v8A7861/wDKegA1j/j7h/7Beh/+mXT64S78SfZfGmgeEPsXmf254X8X+JP7Q+0bfsv/AAiuq+CNM+xfZPIbz/t//CZef9o+0w/Zf7O8ryLj7Z5lr6bqtjatcxFtY02MjTdHXa8WrkkJpFiiyDy9KkXZKqiWMFg4R1EqRyB414O81a1tfG/h7wd9s02Rde8K+MvEx1USauiWR8Jav4F0tdPazOhmSd9THjRrlLlJkS0GkyRSRytexNDhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8AD9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/1fBRq/wBoc117X+z7/Wvquv1rm9jZ2sa1Fan9n2n/AEHNL/7861/8p6P7PtP+g5pf/fnWv/lPW55xl0Vqf2faf9BzS/8AvzrX/wAp6P7PtP8AoOaX/wB+da/+U9ABp/8Ax6a5/wBguH/09aPWXXTWNjarbawBrGmuH02JWZYtXAiA1fSn8yTfpSsULKsQESyPvkQlBGJJI83+z7T/AKDml/8AfnWv/lPQBl0Vqf2faf8AQc0v/vzrX/yno/s+0/6Dml/9+da/+U9AGXRWp/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T0AZdamuf8AIa1j/sKah/6VzUf2faf9BzS/+/Otf/KetLWLG1fV9VdtY02Jm1K+ZopItXLxlrmUmNzFpUkZdCdrGOSRCQdjsuGIBzNFan9n2n/Qc0v/AL861/8AKej+z7T/AKDml/8AfnWv/lPQBl0Vqf2faf8AQc0v/vzrX/yno/s+0/6Dml/9+da/+U9AGXWpD/yBdQ/7Cmj/APpJrlH9n2n/AEHNL/7861/8p60orG1GkXyf2xppVtS0pjKItX2IVttYCxsDpQkLyB2ZCkbIBFJ5jxsYlkAOZrU0P/kNaP8A9hTT/wD0rho/s+0/6Dml/wDfnWv/AJT1paPY2qavpTrrGmysupWLLFHFq4eQrcxERoZdKjjDuRtUySRoCRvdVywAPeqKKKAP89P/AIhOP+Cj/wD0Wv8AYp/8OP8AHX/6HCj/AIhOP+Cj/wD0Wv8AYp/8OP8AHX/6HCv9Cyivq/8AXTPf+fuE/wDCOn/8uPmf9Usl/wCfWJ/8Kqn/AMqPnr9kb4TeJPgJ+yj+zF8C/GV7omp+L/gt+zz8FvhN4q1Lw1c3954c1DxJ8Ofhv4a8H65e6BeappujandaJd6no11PpVzqOkaVfz2EkEt5ptjcNJaxfQtFFfL1Jyq1KlWduepUnUnZWXNUnOpKy1suapKyu7Kyu7H0kIRpwhTjflpwhTjd3fLThCEbvq+WEbvq7vqFFFFQUFFFFABRRRQAUUUUAFfid/wXNttfvfgP+yvZ+FfELeEfFF5+3h8A7Xw54rTToNXfwzrtzpPxAh0jxAuk3UsNrqh0a/e31EabczRW999m+yzSJFKzD9saKnlvWwNXmklgs0yrMmoScJ1FlmZYXHujCorujKssNKjGsozdGVRVVTq+z9nO4zcI4hJRbr4HMsGnOMakIvMMszHLlUnTmnCrCi8eq0qM1yV40ZUJOMa0pR/E8/sEftifGnxt+0f8cP2rfiN+zzefF3xd+yF8S/2TPgL4X+CVv8SNH+FugaZ4/wBP1pp/Gvjq78Y2GoeKLXV7vVtREWoWOmW/iq1trC8u7izknksNK0+PY+Nf/BM7x38Vv2Ef2R/gTDr/AMJZPjz+yRH8MNd8P/8ACcaTqfjX4B+OfEPgvQo9C8R+EPGulah4fGp6p4A8T2xYTXFx4Qn1BobWO2k0aOK+uvK/ZiijkiqKoQSpQjUyyvB0owjKnisqx2ZZlhsXBuFWH1mrj82zDFYyc6VWni51/Z1MPDD06WHppSfPzyvO6x0HGpKc4yw+PyvB5LVwj/eRqfVqWWZfhMLhYKtGrh/ZOusVVxVSpiZfhnpP/BMT40eJv2T/ANsT4Z/EFv2Nfhl8W/2kdG0DRvBfhz9lr4FeG/hX8F/h3Y+CL+017RNM1Dxjpvw80b4xeMrPxZr9ol14gl8Zy+LT4RWSSTwna3QkntJ/L/iH/wAEyP2zPGfif4V/tAapp3/BOr4nftA6d8F3+A/xW+H/AMcvh98QfiJ+zvc6D4W1SY/Df4keAU1/wprXiix+JNtoC2Nh4hSXRtD0L7dHfy2SXOlajcaS39DlFE4qcpS1g5RwUUoOSVNYHL8yyqLp8zqyhPE5fm2Pw2Nqc7qYiNaFWNTCYnD4fFUVFuMVH4kp4upJzSbqPGYvLsdKNRRVOMqdDGZTl+IwtPkjCjPD8sliaNbE4fEfjfpf/BOH4p+H/Fv/AATP1yx8WfBa8i/ZC8S/GLxd8brvw58P/DfwRsfFutfFXTNHUN8M/hr8Ifhxo/gCGLTb6zn0+abU4fCl7qOnWdjq+pXGoa1fagsfOfFD/glj42+M/iX/AIKfjxf458FaF4Y/bUuPgBrPwg1TRJNb1vxF4L8RfBHT57mK68daLqGgaPptvZ32vw2NsIvD2va5cT6HcajJ52nX6W0bftnRVVW6vtbt03VnnFSMqLdKVCed4nh7F4meGlFt0JYfEcLZHUy5xcvqLwXue2Varcot0FRUHzex/smzqWm6n9jVs7r4X211FVVVnxFm/wBdTjBYuGJUJRoxo0rfiT8Of2Nv+Ci/i/8Aa0/Y3/aL/aw+J37K2taJ+y9onxN8KXHhv4N/8LSs9S1ay8X/AA2m8KW3jWS58W+F1tPEHjXxNrV1AfFlkv8AwhPhnQtL8P2V54btb261m/0yx/Wb4k/8wX/uI/8AthXqFeX/ABJ/5gv/AHEf/bCtZ1pVIQptQUYVsdiPchGDlXzLGPH4ypNx0lKti5Tq6RhGHO4U4Qpxp06WMKMKclKPMuXC4HBQi5Nwp4XLcPPC4KjTi/hhRoTdNe9OUkoynOc05z8vr/Nn/wCC+3/KWr9rH/uhP/rNPwbr/SYr+b3/AIKB/wDBvD/w25+1h8Sv2qf+Gvv+FZf8LdtfA9z/AMIJ/wAKA/4TT/hHv+EH8A+Gfhfs/wCEo/4XZ4T/ALW/tT/hB/7c3f8ACO6b9i/tT+zNt39i/tC79/hfH4TLsfWr4yr7GlLCVKUZclSpecq1GSjanGcleMJO7VtLXu0eJxHgsVj8DSo4Sl7WpHFQqSjzwhaCpVot3qSit5RVk767WTKv/Brf/wAo/wD4wf8AZ4nxA/8AVK/s+V/SZX5s/wDBLf8A4J6/8O1v2f8Axh8C/wDhb3/C6P8AhK/jF4g+LP8AwlP/AAgH/CufsH9u+Cvh94P/ALA/sT/hNfHf2r7L/wAIJ/aP9q/2vbef/av2T+zYfsP2q8/SavNzjEUsVmmOxNCftKNbESnTnyyjzRcKKT5ZqMlrGWkknptqj0MqoVcNluCw9aPJVpUIwqQvGXLJTqtrmi3F6Sjqm1rvuFFFFeaegFamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9AGXRRRQAUUUUAFFFFAGprH/H3D/wBgvQ//AEy6fXCXfiT7L400Dwh9i8z+3PC/i/xJ/aH2jb9l/wCEV1XwRpn2L7J5Def9v/4TLz/tH2mH7L/Z3leRcfbPMte71j/j7h/7Beh/+mXT64S78SfZfGmgeEPsXmf254X8X+JP7Q+0bfsv/CK6r4I0z7F9k8hvP+3/APCZef8AaPtMP2X+zvK8i4+2eZa4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v8Aw/af8u7c10ejltH29XFx+p/XfZ5Tm2I5PrH1f6v9XwUav9oc117X+z7/AFr6rr9a5vY2drHT0UUVuecFFFFAGpp//Hprn/YLh/8AT1o9Zdamn/8AHprn/YLh/wDT1o9ZdABRRRQAUUUUAFamuf8AIa1j/sKah/6VzVl1qa5/yGtY/wCwpqH/AKVzUAZdFFFABRRRQAVqQ/8AIF1D/sKaP/6Sa5WXWpD/AMgXUP8AsKaP/wCkmuUAZdamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXxp+0N/wUF/ZA/ZS8aWfw8+P3xitvh/401Lwlp/jjTNAl8F/EbxHd6p4b1XxLceErC60uTwh4Q8QWupX0+u2l3AdCsZ7jXobKzvNZn0yLRbS41CNJp1KVJNOrXqKlQprWpWqtJqnSgryqVGmmoQjKbTVou5SjJxqTUW40qcqtWSXu0qUXFSqVJaKFOLnBSnJxjFyjeSuj7Lor4Z8Wf8ABSz9hnwN8bNO/Z28WftEeE9F+L2pahpWjjw1c6V4wfT9L1rWjtsND8TeMrfw5N4H8I655hSC90XxT4k0fVNLuZra11S0s7i6t4pU8H/tYWtv8c/21/CvxR+JvwK0j4W/svaZ8KtbY6Tp3xT0Hx38PdI8X+D9U8Q67efGfxF410iw+GWsLqU1lHceDF+FWqazJb6es1l4mS31qeytpUpR5HVcoxoLD5hiXiZSSwyp5W8Msd+/TlDnoPF0lNJuK95yqRXs5YhJNtxinOoqmX0/YxTddvNakqWBkqVoycK8o3hJ8rcWnGE5c1On9z15f8Sf+YL/ANxH/wBsK/Lfw5/wVv8Ahh8dv2yP2SvgZ+yh42+HnxU+FXxjb41WHxe1jU/CPxI8PfELwjrHw++H/wDwmXhSPQNP8VSeC5tO03W5PMjl1XVvBuv6XrEdlqlho2o2+o6VqX2T9H/EnjnwT4y8X+Ifh94Q8YeFvFfj74Xf2T/ws3wR4b8QaTrni/4df8JtpcGt+DP+E78NaXd3WteEf+Eu0W1udX8Mf8JBZaf/AG/pdtPf6V9rtIZJV19nUVGjXlCUIV54unTU4uE5PBYqOErS5Gr+zlVlGVCom416T9rC0bxUOcFXqYdSjKpSo4SvPkanGMMbSrVaMXNO3tYxoVFWp2UqM1GE7uSa5iv82f8A4L7f8pav2sf+6E/+s0/Buv8ASs/sPWv+gPqn/gvu/wD4zX+ax/wX9gntv+Ct/wC1nDcQy28yf8KI3xTRvFKm79mf4NOu6OQK67kZWXIGVYMOCDX1vBX/ACNcR/2AVf8A0/hz5fi//kW0P+w2n/6Zrn95/wDwTv8A+Uf/AOwx/wBmd/sy/wDqlfBNfYlfJv8AwTs0fV5f+Cfn7C0sWlalJHJ+xx+zHJHJHY3TpIj/AAU8EMjo6xFWRlIZWUkMCCCQa+xv7D1r/oD6p/4L7v8A+M18vi/97xf/AGF4r/1JxJ9Hhf8AdcL/ANg2G/8AUfDmXRWp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M1zm5l1qaf8A8emuf9guH/09aPR/Yetf9AfVP/Bfd/8AxmtKx0fV0ttYV9K1JWl02KOJWsbpTI41fSpSkYMQLuI45JCq5ISN3xtViADmaK1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZoAy6K1P7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZoAy6K1P7D1r/oD6p/4L7v/wCM0f2HrX/QH1T/AMF93/8AGaADWP8Aj7h/7Beh/wDpl0+uEu/En2XxpoHhD7F5n9ueF/F/iT+0PtG37L/wiuq+CNM+xfZPIbz/ALf/AMJl5/2j7TD9l/s7yvIuPtnmWvpuq6Pq8lzE0elalIo03R4yyWN0wDxaRYxSoSsRAeORHjkXqjqyMAykDg7y81e08b+HvBh8Pak8mv8AhXxl4nS9MV0j26eEdX8C6VJarY/Y2a4S7bxtFK90LiIWZso4WhuDfLJbYV5ckab9r7LmxOGhfk5+fnquPsbfZ9v/AA/af8u7c10ejltH29XFx+p/XfZ5Tm2I5PrH1f6v9XwUav8AaHNde1/s+/1r6rr9a5vY2drGtRWp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M1uecZdFan9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM0AGn/wDHprn/AGC4f/T1o9ZddNY6Pq6W2sK+lakrS6bFHErWN0pkcavpUpSMGIF3EcckhVckJG742qxGb/Yetf8AQH1T/wAF93/8ZoAy6K1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZoAy6K1P7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZoAy61Nc/5DWsf9hTUP/Suaj+w9a/6A+qf+C+7/wDjNaWsaPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBoA5mitT+w9a/6A+qf+C+7/wDjNH9h61/0B9U/8F93/wDGaAMuitT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmgDLrUh/5Auof9hTR//STXKP7D1r/oD6p/4L7v/wCM1pRaPq40i+iOlakJH1LSpEjNjdB2SO21hZHVPK3MkbSxK7AEKZIwxBdcgHM1qaH/AMhrR/8AsKaf/wClcNH9h61/0B9U/wDBfd//ABmtLR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAUAe9UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV+Unif4U+LtU/4LOfDb4uT/AA78UX3w98NfsI674esviW3hbWJvBOjePbv4r+IUOgJ4vFkdAtPFdx4Y1e+caO2oJqr6NqE0y2xtZy7fq3RRT/d4vCYtazwn1/kg9IyePyrHZVNuS96LpUsdUqw5finFQl+7nMJe/h8Xh3pHF0qNKUusFRzHK8xTin7rcqmV06TUtFCrOS9+FM/jh8b/ALFPxwsfiX+01+z38QPhP/wU2+JOp/G39qHXfHPhiP4BfFHQ/hn+wh8RfBnjvxPpniGx8d/F7xhrnwy+KHhzwr4y8Px2ceo6kmqeH9fliudC0DR5l0K90+zuZPrL9oT9jb9oj4paj/wWY8EeBPAfxAuLnx9oX7DV38K9Y8TaZqOn6X8a4/g74ft9V8YaN4a8ZazpenaF4x1hU0eS1v30qdVPiaWwsL46bJfBV/psorGjSdDA0MHTm1LD4JYOnXcISf8As+G4awmW16lCaq0atXBUeFsu9rGq50sxlUxUcRTw+HqwwlHeVeUsbWxjim62NpY6VK8uWNR5pjM2xsIVE4zhDGV8bVpxcIQqYOlTw/sqmJrUKddfzjeDfFXxQ/aU/wCChP8AwTU+KumfsFftIfs4+A/gj8P/AIwfD7x14q+J3wXv/Auk6RqUnwd1G30/wtaLYR3KaL8MfDl/f2+mfDvXfFVv4Wt/EepeIdY0nQNFtL3SdXtF/en4k/8AMF/7iP8A7YV6hXl/xJ/5gv8A3Ef/AGwrtqVvaU4U1BQUcVm2Mk1Oc3OvnGZzzXFP33LljHE1akaUVKdqTipzqVFOrX4aVBUpRcZNxp5flGWUoNR9zDZNgp4HC3krSqVJUJR9rOSjzTheMYKXJDy+v82f/gvt/wApav2sf+6E/wDrNPwbr/SYr+JL/gr7/wAEgP8Agop+05/wUN+P3x4+B/7PH/Cb/Cn4gxfCibwh4q/4W18DPDX9rxeF/gr8OvA2ut/Yfi/4maB4ksPsPinwvrul7dU0eya5+w/bbMXGnXNnd3H0fCGIw+GzKvUxNejh4PBVIKdapClFydag1FSm0nJpNpXvZN9GeDxTQr4jL6MMPRq15rF05OFKnKpJRVGsnJxgm1FNpN2tdpdT+qn/AIJ3/wDKP/8AYY/7M7/Zl/8AVK+Ca+xK+bP2M/AHi34Ufsf/ALKXwt8f6T/YHjv4a/s2fAvwB410L7fpmqf2L4t8HfC/wt4d8SaT/aei3uo6NqP9nazp17Z/b9J1C/0y88n7RYXt1ayRTyfSdfOYpqWKxUotSjLE4mUZJpqUZYjESjJNaNOMk01o001o0e/hk44bDxkmpRw+HjJNWalGhQTTT1TTTTT1TTT1QUUUVgbBWpp//Hprn/YLh/8AT1o9Zdamn/8AHprn/YLh/wDT1o9AGXRRRQAUUUUAFFFFAGprH/H3D/2C9D/9Mun1wl34k+y+NNA8IfYvM/tzwv4v8Sf2h9o2/Zf+EV1XwRpn2L7J5Def9v8A+Ey8/wC0faYfsv8AZ3leRcfbPMte71j/AI+4f+wXof8A6ZdPrhLvxJ9l8aaB4Q+xeZ/bnhfxf4k/tD7Rt+y/8IrqvgjTPsX2TyG8/wC3/wDCZef9o+0w/Zf7O8ryLj7Z5lrhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8AD9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/1fBRq/wBoc117X+z7/Wvquv1rm9jZ2sdPRRRW55wUUUUAamn/APHprn/YLh/9PWj1l1qaf/x6a5/2C4f/AE9aPWXQAUUUUAFFFFABWprn/Ia1j/sKah/6VzVl1qa5/wAhrWP+wpqH/pXNQBl0UUUAFFFFABWpD/yBdQ/7Cmj/APpJrlZdakP/ACBdQ/7Cmj/+kmuUAZdamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV5B8W/i7/wqZ/hyn/CsPi/8S/+Fi/Evw18Nt3wk8Ff8JkngX/hJWuF/wCE++Ix/tPTf+EY+GmgfZ93iXxTi+/spZ7c/YJ/N+UWsqcF8VWrTo01/NVrScKcLu0Y80k1zTlTpx3qVacfeZtGcvs06VWtN/y06NOdarK28uSnTnLlhGdSXLy06VWo405+v0UV+eXxv/4KO/Dz4NfHvVf2b9G+An7V3x/+JXhzwNpfxA8W2/7O3wgs/iHpnhHRtai1C40q31+5vfF3hy9gvr+2sYZLNrPTr3TLq41TTdKt9Tl1uS60y0h1IRnTpuX7ys6qpQSk5T9hQliazSjCWlLDwlWqSlyxhTXNKSulKlCUozml7lP2ftJNxjGPtq1PD0k3KUVzVa9WnSpxXNOc5WjF8s3T/Q2vL/iT/wAwX/uI/wDthXlvhn9rj4Z+I/iV8Gfg1c6L8RPCPxa+NPwYuPjvp3w78beDrnw74l8DeCrVLCOez+I8U91LY6B4rg1S8n0K78M6ffa3qNhq2l6imoLa2a2d7eepfEn/AJgv/cR/9sK1lCUb3Wiq4qhzJxlB1sFiZYPFwjOEpwm8PioTw9SVOdSCqwnGNSpyuSzjOMtE9fZ0KtmpRkqeJpOvh5uMowlFVqKdWnzRjKVO0+WKlDn8vr+JL/gr7/wV/wD+Cin7Mf8AwUN+P3wH+B/7Q/8AwhHwp+H0Xwoh8IeFf+FS/AzxL/ZEXij4K/Drxzrq/wBueL/hnr/iS/8At3inxRruqbtU1i9a2+3fYrM2+nW1naW/9ttf5s//AAX2/wCUtX7WP/dCf/Wafg3X1HCGHw+JzKvTxNCjiILBVJqFanCrFSVaglJRmmlJJtJ2vZtdWfOcU16+Hy+jPD1qtCbxdOLnSqSpycXRrNxcoNNxbSbV7XSfQ/0Bf2M/H/i34r/sf/spfFLx/q39v+O/iV+zZ8C/H/jXXfsGmaX/AG14t8Y/C/wt4i8Sat/Zmi2WnaNp39o6zqN7efYNJ0+w0yz877PYWVraxxQR/SdfHf8AwTv/AOUf/wCwx/2Z3+zL/wCqV8E19iV85iko4rFRilGMcTiYxikkoxjiMRGMUlokoxSSWiSSWiR7+GblhsPKTblLD4eUm3duUqFBttvVttttvVttvVhRRRWBsFamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9AGXRRRQAUUUUAFFFFAGprH/H3D/wBgvQ//AEy6fXCXfiT7L400Dwh9i8z+3PC/i/xJ/aH2jb9l/wCEV1XwRpn2L7J5Def9v/4TLz/tH2mH7L/Z3leRcfbPMte71j/j7h/7Beh/+mXT64S78SfZfGmgeEPsXmf254X8X+JP7Q+0bfsv/CK6r4I0z7F9k8hvP+3/APCZef8AaPtMP2X+zvK8i4+2eZa4V5ckab9r7LmxOGhfk5+fnquPsbfZ9v8Aw/af8u7c10ejltH29XFx+p/XfZ5Tm2I5PrH1f6v9XwUav9oc117X+z7/AFr6rr9a5vY2drHT0UUVuecFFFFAGpp//Hprn/YLh/8AT1o9Zdamn/8AHprn/YLh/wDT1o9ZdABRRRQAUUUUAFamuf8AIa1j/sKah/6VzVl1qa5/yGtY/wCwpqH/AKVzUAZdFFFABRRRQAVqQ/8AIF1D/sKaP/6Sa5WXWpD/AMgXUP8AsKaP/wCkmuUAZdamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfH3/BQf/kxb9r//ALNw+MP/AKgut19g1j+IfDvh/wAXaFrHhfxXoej+J/DPiHTbzRtf8O+IdMsta0LXNI1GB7XUNK1jSNSgudP1PTb61lktryxvbee1uoJHhnieN2U8mPw0sZgsXhIzjCWIoToxnJNxi5um1KSj7zS5HdLXVW6nVgsRHC4zCYqUXOOHxNGvKEWlKSpVIzcYuXuptKyb0T30P5DfhP8AsYfCEeP/APgj7pGnXXxMsU/bV/Z7+Jlj+1NcWXxk+KGjXfxf8E+G/hX4a8XWPw61q70TxNYzaX4BtLSysvC8HhDw1/YekXPhzSdHsb9J7uwh1RMz4Ywy+Hfg78CvhXYX2pS+Bvgv/wAHB+k/DT4Z6LqOoXWpr4U8EaTeQ39noNhdX0k92bQalqep6pL508jz6nqeo30rNc3lxJJ/WnZ/Bj4Padd/Du/0/wCE/wANbG++EGnX2j/Ca9s/Anhe1u/hdpGqacmj6npfw7uYNKSbwTp2o6RFHpd9Y+Gn0y2u9OjSxuIpLZFiGND+zt+z9bxxw2/wL+DkEUPxJ/4XNDFD8MfBUUcXxgG3HxWjRNEVY/iSNif8V0oHij5F/wCJp8ox7EcVGGPWKjCSoLM5Y/6unG6pUuM8HxHl9BPWCWX5ZSxuV4Zfw8PVzDF1MOqeHxmOWJ8uWHcsD9Wck67y2OCddqTvVqcK8WcPYyvvz2xlXPMpxFf/AJeVqGTQpVpSqU8D7H+M/wDar1Lwv8Pv2zfjl8ftY8TeAP2gLvwt+1TrOvXPjTwV+0J46/Z2/bs+Dl74Y13w1pHg74WeH/hr8aha+G/GXhPwtK1po9jqHws/Z8+L1pqPhjR9Xjh+JngTTYrNtB+z/wBo39mj4E3v7ZX/AAVU8ex/D+5tPEHhP9g7Wfjv4UnvfEPjCG80L4m/Ff4feIrPxxr93p3/AAkclhcXOrWOtahaz6DqMN94e0mWZ20fTLGWCCWP+l3W/wBnD9njxN8RLP4veJPgN8GPEHxY0680jUdP+J+t/C7wPq3xEsdQ8PrAmg31n41v9DuPEtteaIlrbJpFzBqaT6atvAtm8IhjC9Bqnwc+EWuav4y1/WvhX8ONX174i+GE8EfEHW9U8D+GNQ1fx34Miha3i8I+MtSu9LmvPE/hiOB3gTQNbmvtKSF2jW0CMVPjRw0o5VgsApxjXweEzrC068VKMaazPh7CZNRdO1qsuTGYSGZVp1FCu5KMfaY/Ge1zSv6cq6lmeIxzjJ0cTiskxFahJpurDKs9hmkqUk/3UYvB+3y+jGDlQkq3M6GBw0VgF/Lj8Hvg9+y9H+2t/wAEqvFnxptPD2gr4w/4J4/AHx9o2ueKvHmv+EdN134//D208JaP8KDpty3ibSdNuNetbTRdK0/TPB9sf7L8S3cdvDqGhaxqF/i6/pc8SeD9J8KeL/EPjfS7vxTda18Rf7J/4SCy8SeOfG3jLwhp/wDwiOlwaRpX/CCfD7xf4g1zwD8LvtdpcyS+J/8AhWXhrwj/AMJtqiwa34z/ALf1q1tr+HY1f9nn4A+II/hzFr3wN+D2txfB+Kyh+EkWr/DPwXqUfwth006YdOh+HKXuiTL4IisDoujmyj8MjTEtTpOmGAR/YLXytH4k/wDMF/7iP/thXr4jExrqtGMZQjLOeJMxpQuuSOHzzO8VnFCnOK0WJw0cVLB1Z0/3E6VGi6VvfivNo0JU5U5ykpyjlmUYKc2nz+1y3CVMJUcJO/8As1f91iYwn+9jiPa894KnJ8H/AGxd/wDPHS//AAR6L/8AK+v81j/gv7M9x/wVv/azlkESu/8AwojIhggtoht/Zn+DSjbDbxxQpwoLbI13Nl2y7Mx/0k6/zZ/+C+3/AClq/ax/7oT/AOs0/BuvpeCv+RriP+wCr/6fw589xf8A8i2h/wBhtP8A9M1z++b/AIJ2ardR/wDBPz9haNYtNKx/scfsxopk0fSJXIX4KeCFBeWWxeSRyB80kjs7nLOzMST9jf2xd/8APHS//BHov/yvr4n/AOCd/wDyj/8A2GP+zO/2Zf8A1SvgmvsSvl8X/veL/wCwvFf+pOJPo8L/ALrhf+wbDf8AqPhzU/ti7/546X/4I9F/+V9H9sXf/PHS/wDwR6L/APK+suiuc3NT+2Lv/njpf/gj0X/5X1pWOq3TW2sMYtNBj02J126PpCAk6vpUeJFSxVZU2yMRHKHQOElCiSON15mtTT/+PTXP+wXD/wCnrR6AD+2Lv/njpf8A4I9F/wDlfR/bF3/zx0v/AMEei/8AyvrLooA1P7Yu/wDnjpf/AII9F/8AlfR/bF3/AM8dL/8ABHov/wAr6y6KANT+2Lv/AJ46X/4I9F/+V9H9sXf/ADx0v/wR6L/8r6y6KAOm1XVbqO5iVYtNIOm6O/z6PpEhzJpFjIwDSWLMEDMRHGCEiQLFEqRoiLw1347u7XxpoHhD+zdLk/tzwv4v8Sf2h/Zmir9l/wCEV1XwRpn2L7J/ZDef9v8A+Ey8/wC0faYfsv8AZ3leRcfbPMten1j/AI+4f+wXof8A6ZdPrhLvxJ9l8aaB4Q+xeZ/bnhfxf4k/tD7Rt+y/8IrqvgjTPsX2TyG8/wC3/wDCZef9o+0w/Zf7O8ryLj7Z5lrhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8AD9p/y7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/1fBRq/wBoc117X+z7/Wvquv1rm9jZ2sd3/bF3/wA8dL/8Eei//K+j+2Lv/njpf/gj0X/5X1l0Vuecan9sXf8Azx0v/wAEei//ACvo/ti7/wCeOl/+CPRf/lfWXRQB01jqt01trDGLTQY9Nidduj6QgJOr6VHiRUsVWVNsjERyh0DhJQokjjdc3+2Lv/njpf8A4I9F/wDlfRp//Hprn/YLh/8AT1o9ZdAGp/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1l0UAan9sXf/PHS/8AwR6L/wDK+j+2Lv8A546X/wCCPRf/AJX1l0UAan9sXf8Azx0v/wAEei//ACvrS1jVbqPV9VjWLTSsepXyKZNH0iVyFuZVBeWWxeSRyB80kjs7nLOzMSTzNamuf8hrWP8AsKah/wClc1AB/bF3/wA8dL/8Eei//K+j+2Lv/njpf/gj0X/5X1l0UAan9sXf/PHS/wDwR6L/APK+j+2Lv/njpf8A4I9F/wDlfWXRQBqf2xd/88dL/wDBHov/AMr60otVujpF9J5Wm7l1LSkAGj6QEIkttYZi0QsRG7gxrskdGeMGRY2VZZQ/M1qQ/wDIF1D/ALCmj/8ApJrlAB/bF3/zx0v/AMEei/8AyvrS0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysARzNamh/8hrR/wDsKaf/AOlcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRWP4h8ReH/COhax4o8V65o/hjwz4e0281nX/EXiHU7LRdC0PSNOge61DVdY1fUp7bT9M02xtYpLm8vr24gtbWCN5p5UjRmC+H/EGgeLNC0bxR4V1zSPE3hnxFpljrfh/wAReH9SstZ0LXdG1S2jvdN1fRtX06e50/U9M1Gzmhu7G/srie0u7aWOe3lkidXItea2vI4KdteR1FOVNTtfldSNOpKmpcrnGnUlBTUJuA9OW+nPz8l9Of2ai58t7c3Ipwc+Xm5FODnyKcHPXoorK13XdE8L6Lq/iXxLrGleHfDnh/TL/W9e1/XdQtNJ0XRNG0u1lvtT1fV9Vv5rex03TNOsoJry/v72eG1s7WGW4uJY4o3cKUoxi5SlGMYpuUpSUYxS3cpScYxS6uUkl1aHGMpSjGMZSlJqMYxTlKUpNRjGMYqUpSlJqMYxjKUpNKMW2k9WvL/iT/zBf+4j/wC2Fdl4W8VeF/HHh3R/F/grxJoHjDwn4hsYdT0DxP4W1jTvEHh3XNNuBut9R0fWtJuLvTdTsZ1BaG7srme3lHKSMK434k/8wX/uI/8AthVSjKLcZRlGUXaUZRcZJ6OzjJRknZrRxT1WmqvKkpJSi1KLV1KLUota6qUXJNaPVNrR66O3l9fze/8ABQP/AIOHv+GI/wBrD4lfsrf8Mg/8LN/4VFa+B7b/AITv/hf/APwhf/CQ/wDCceAfDPxQ3/8ACL/8KT8Wf2T/AGX/AMJx/Ye3/hItS+2/2X/ae60+2/2faf0hV/mz/wDBfb/lLV+1j/3Qn/1mn4N19HwvgMJmOPrUMZS9tSjhKlWMeepTtONajFSvTlCTtGclZu2t7XSPA4jxuKwGBpVsJV9lUlioU5S5ITvB0q0mrVIyW8Yu6V9N7Nn+ht+zv8Wf+F9/s/8AwM+On9gf8Ip/wuj4O/DL4s/8It/av9u/8I1/wsbwVonjD+wP7b/s3Rv7Z/sb+2f7O/tX+yNK/tD7N9r/ALNsfO+yxexV8d/8E7/+Uf8A+wx/2Z3+zL/6pXwTX2JXg4mEaeIxFOCtCniMRCCu3aMK9eEVd3btGEVdtt2u222z26EpToUJyd5ToUJydkrynRozk7KyV5Sk7JJK9krJBRRRWJqFamn/APHprn/YLh/9PWj1l1qaf/x6a5/2C4f/AE9aPQBl0UUUAFFFFABRRRQBqax/x9w/9gvQ/wD0y6fXCXfiT7L400Dwh9i8z+3PC/i/xJ/aH2jb9l/4RXVfBGmfYvsnkN5/2/8A4TLz/tH2mH7L/Z3leRcfbPMte71j/j7h/wCwXof/AKZdPrhLvxJ9l8aaB4Q+xeZ/bnhfxf4k/tD7Rt+y/wDCK6r4I0z7F9k8hvP+3/8ACZef9o+0w/Zf7O8ryLj7Z5lrhXlyRpv2vsubE4aF+Tn5+eq4+xt9n2/8P2n/AC7tzXR6OW0fb1cXH6n9d9nlObYjk+sfV/q/1fBRq/2hzXXtf7Pv9a+q6/Wub2Nnax09FFFbnnBRRRQBqaf/AMemuf8AYLh/9PWj1l1qaf8A8emuf9guH/09aPWXQAUUUUAFFFFABWprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1AGXRRRQAUUUUAFakP/IF1D/sKaP/AOkmuVl1qQ/8gXUP+wpo/wD6Sa5QBl1qaH/yGtH/AOwpp/8A6Vw1l1qaH/yGtH/7Cmn/APpXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8ff8FB/+TFv2v8A/s3D4w/+oLrdfkr8IPjJ+1b8Urb9gj9hX9l34x+Hv2Yl0z/gnR8HP2j/AIj/ABt1T4W6H8YPEmp6cdB0XwLo/gXwt4M8ZLD4SayOp3On6lrOpS3ltqbCTNlqdiui3Oi+Kv3j+Mfwu8P/ABu+FHxI+Dviu81jT/DPxQ8E+JfAev33h64srTXbPSPFOk3Wj6hc6Pdalp+rafb6lDa3cklnNe6ZqFrHOqNPZ3EYaJviP4jf8EuvgN4+8Lfs96XpHxA/aA+EHxA/Zo+G+ifCL4d/Hv4JfEq1+HXxvuPhvougN4fHhPxL4q07wzPo+qaZqMbyajei18M6dNb6hc6kmjTaTpet65pupZ0U6dXFSqwlVoYjGZTVlRp1nRlUjg8k4pwUKs5px5oYLM80y3GSwkpxWOowqQUn9W9hida0lUoYWFOUadehTzhRrVKSqxpSxtfheSUYNSvLE4PK81wirRi3g516VZxftPaYb87Lv/gpT+1pYfAnxD8DRe+AL79sHR/28NI/4J7Wvx/fww0Xw6ubzxAL+DTvjnc+DrGzvdBt/FkSadcC+8GpayeHLHVZLfVpfD1zp6SeDJtn4ufGf9qv4K6j+13+wz+1F8a9B/amt/iD/wAE8fj98e/hx8ZdL+FPhj4O+J/DUukeEPF3hnWPA/ifwX4Iubvw6dAnXSr/AFPR/EEsj6i2ouLKS+u476LT9C/RNv8AgmB+yfL+yzffsm3fh3xRfeD9T8Sy/EbUPiJe+J5rj40Xnxmlj2v8cJ/H7Wm5/ieZf3jaidK/4R+S0Mnh+bw3J4Wmn0KXN+Gn/BMP4HfD7Q/jpDrnxH/aG+NXxC/aB+F3iH4K+Mfjp8ePifB8SvjLo/wu8R6NLpNz4N8H+JdQ8N2uj6LpNrNM+tWqXHhzUpZtXW1bVJNS03T9O020yxVGdfCYzDzlTr162X16GJr+zVOhmtWpwrl2XUYYXCNKOSulxNQxuc1MRGKdajVu4ueJnlmB0wtaFDGYDERjUo0KGZ4XE0qPtHUr5fCjxhh81nXr4pNyzSH+rVKrlUME5TUa9WjBTccJDMa35xf8Eff2ofiB8ddT+A3wE8P+P5fhR8Jv2af2UfB2qap8OtR8HaSPGP7T3iTV7+/8M634w0jXfFfh2/urD4P/AAr1+ybww954Cv8ASdY1Xxp5o1LVbvRbmCysf3B8SWnja18X+Ib3xf4g8La54B1D+yf+FZeGvDfg/VvCni/wj9k0uCLxn/wnfjfVPHPjLRfiL/b+tNbX/hj/AIR/4ffC7/hEdLhn0jVf+E2u7mPW7Xwfwh/wTy+C3gHU/wBknxB4Q8T/ABO0LxX+x34T1D4f+BfFlnq3g4a54++HmrWRstT8CfF15PA0mn+KPDVyJLm8gt9F0/wveaPql5d6roN9pWoSi4X6h+JP/MF/7iP/ALYV62Nr08RLnhzOp7fHutUmnzYl1MYq1HGOTbnD6xhp0qX1KTcMueX/AFfDuWFxFKpPysJRqUIqEklTWHwKpQi1bD+zw9WnWwiUUo1fY11Kt9dsqmO/tBzrqNbB8keD87Rf+gfqn/g4tP8A5R1/msf8F/TA3/BW/wDazNvHLFCf+FEbI5pkuJV/4xn+DQbdLHBbI+X3MuIU2qQp3FS7f6Sdf5s//Bfb/lLV+1j/AN0J/wDWafg3X0fBX/I1xH/YBV/9P4c8Hi//AJFtD/sNp/8Apmuf3zf8E7JdIH/BPz9hYS2OpPIP2OP2YxI8eq2saM4+CngjeyRto8rRozZKo0shUEKZHI3H7G87Rf8AoH6p/wCDi0/+UdfE/wDwTv8A+Uf/AOwx/wBmd/sy/wDqlfBNfYlfL4v/AHvF/wDYXiv/AFJxJ9Hhf91wv/YNhv8A1Hw5qedov/QP1T/wcWn/AMo6PO0X/oH6p/4OLT/5R1l0Vzm5qedov/QP1T/wcWn/AMo60rGXSDbaxssdSVRpsRlDarasXT+19KAWNho6CNxIY3LssoKK8flhpFlj5mtTT/8Aj01z/sFw/wDp60egA87Rf+gfqn/g4tP/AJR0edov/QP1T/wcWn/yjrLooA1PO0X/AKB+qf8Ag4tP/lHR52i/9A/VP/Bxaf8AyjrLooA1PO0X/oH6p/4OLT/5R0edov8A0D9U/wDBxaf/ACjrLooA6bVZdIFzF5ljqTN/ZujkFNVtYwEOkWJiUq2jyEukZRJH3ASOrSLHErCJOGu/FOi2vjTQPCH9h6pJ/bnhfxf4k/tD/hILRfsv/CK6r4I0z7F9k/4RxvP+3/8ACZef9o+0w/Zf7O8ryLj7Z5lr0+sf8fcP/YL0P/0y6fXCXfiT7L400Dwh9i8z+3PC/i/xJ/aH2jb9l/4RXVfBGmfYvsnkN5/2/wD4TLz/ALR9ph+y/wBneV5Fx9s8y1wry5I037X2XNicNC/Jz8/PVcfY2+z7f+H7T/l3bmuj0cto+3q4uP1P677PKc2xHJ9Y+r/V/q+CjV/tDmuva/2ff619V1+tc3sbO1ju/O0X/oH6p/4OLT/5R0edov8A0D9U/wDBxaf/ACjrLorc841PO0X/AKB+qf8Ag4tP/lHR52i/9A/VP/Bxaf8AyjrLooA6axl0g22sbLHUlUabEZQ2q2rF0/tfSgFjYaOgjcSGNy7LKCivH5YaRZY83ztF/wCgfqn/AIOLT/5R0af/AMemuf8AYLh/9PWj1l0AannaL/0D9U/8HFp/8o6PO0X/AKB+qf8Ag4tP/lHWXRQBqedov/QP1T/wcWn/AMo6PO0X/oH6p/4OLT/5R1l0UAannaL/ANA/VP8AwcWn/wAo60tYl0gavqolsdSeQalfCR49VtY0Zxcy72SNtHlaNGbJVGlkKghTI5G48zWprn/Ia1j/ALCmof8ApXNQAedov/QP1T/wcWn/AMo6PO0X/oH6p/4OLT/5R1l0UAannaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdZdFAGp52i/8AQP1T/wAHFp/8o60opdI/si+IsdSEY1LSg6HVbUuzm21jy2WT+xwqoqiUOhicyF42WSMRssvM1qQ/8gXUP+wpo/8A6Sa5QAedov8A0D9U/wDBxaf/ACjrS0eXSDq+lCKx1JJDqViI3k1W1kRXNzFsZ410eJpEVsFkWWMsAVEiE7hzNamh/wDIa0f/ALCmn/8ApXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXl/wASf+YL/wBxH/2wr1CvN/iZ8ZPhB8FdJsNe+MfxV+G/wl0PVdRGkaXrXxM8c+GPAek6lqxtp70aXYaj4p1TSrO81E2drc3YsreaS5Ntbzz+V5UMjqnKMbOUoxTlGKcpKN5SdoxXM1eUnpGKvKT0jGT0Gk5X5U5WTk7Ju0Yq8pOydoxWspO0YrWTitTyevxT/bG/4IFfseftmftA+Mf2nPih8Sf2ltB8e/Fay8LXHiHSPAXjH4XaX4Qs38F+F9I+GuljRbDxD8G/FOs26XGheC9Lu78X2v6iZdWuNQnt2tbOW3sLX+kS0vLTULS1v7C6t76xvbeC8sr20niubS7tLmJZra6tbmFnhuLe4hdJYJ4neKWJ1kjZlYE+B+BfF/7M2ifGP4ufD/wH8SPhc/x38feK7X4m/F34b6b8T9H1r4kT+JNH+Gnw3+Gtv4h1X4fTeI7/AFzwzb2nw28B/DjS5LbT9E0fRzb2VnrdxaPquuajqep9eGxeMwOIl9VrVcNipQq05RprlruFJ89eDpSpyqWpOnzVl7FOlyN1XSUZW5cRhsLjaC+s0qWIwylSqRlN81FSqLloyVSNSNO9VVOWk/atVedKmqjlG/jXwZ+Fvh/4G/B/4U/BTwneazqPhX4PfDXwL8LfDOoeIriyu/EF94f+H3hfS/CejXmu3Wm6fpGnXOs3OnaRbT6ncafpWmWU1688lrp9lA0dtF6TXp+r/HD4LeH/AIi6N8INe+L/AMLtE+LXiO3gvPD3wu1fx/4T034i69aXS3rW11o3gm81aHxLqlvcLpuotBPY6ZPFKthemNmFrP5fqNc7lKpes25qrOq/a/FGpUjUl7a043hKcKspKqoybpzbjONOXuLoUY07UklB04U17PaUKbhH2V4N88Yypxi6blFKcEpQlOPvP5for6goqRny/Wpp/wDx6a5/2C4f/T1o9fRlFAHy/RX1BRQB8v0V9QUUAfL9Fen+PPjh8FvhZrXhfw38Tvi/8Lvhz4i8cXBs/BWg+PPH/hPwhrXjC7W7s7BrXwvpfiDVtOvvEFwt9qOn2Rg0mC7lF3fWduV866gR/UaF70eePvQU5U3OOsPaQs50+ZXj7SClFzp83tIKUXOEFJNj0lyvSXJGpyvSXs53UKnK7S9nNxkoT5eSbi1Gcmml856x/wAfcP8A2C9D/wDTLp9cJd+JPsvjTQPCH2LzP7c8L+L/ABJ/aH2jb9l/4RXVfBGmfYvsnkN5/wBv/wCEy8/7R9ph+y/2d5XkXH2zzLX0P4GeL/2ZvN8cfC79n/4kfC7xNqPhjx38S/G3xD8GeCPifo/j7xD4V8dfFX4oeMfiH8Rr3xTp0HiPX9c8NXGt/E/xP4xvpNJ1FbCw0e+nudA0aw0zTdMtdKsn3H7Wf7K1p47Pwuu/2mP2frX4mjxHD4OPw6uPjN8OYfHY8XXF9HpkHhU+EZPEi+IP+Ejn1KWLT4dD/s/+05b6SO0S1a4dYzEozq/V40Z2nXdKvRUIqrLFYdS5p+wiuZ1adaDjBV6CrRjdShNtq/Rh6lCg8XPFYb29OnhsbhpKVWeHWCxtSg4YfEV5pJQngqsKleWFxDoqslKnVUYQk44FFfUFFWc58v0V9QUUAfOen/8AHprn/YLh/wDT1o9ZdfUFFAHy/RX1BRQB8v0V9QV5dq/xw+C3h/4i6N8INe+L/wALtE+LXiO3gvPD3wu1fx/4T034i69aXS3rW11o3gm81aHxLqlvcLpuotBPY6ZPFKthemNmFrP5YtZQgtZ1G404LWdSSi5uNOCvOclCMpuMITkoRlNpRjKSHpGU3pCCUpzekIRclFSnN2jCLlKMU5ygnKUYpuTUX5hWprn/ACGtY/7Cmof+lc1fRleO/BT/AIUl4W8I6f8AA34H+IfCF14c/Z10Pwp8Hm8E+G/GkPjLVfhhp3g/w9Y6J4X8G+LJLjWtc8S6fq9h4e0yzhVPF92/iC+hgN7fT3dxJNcuLV8q1lyynyrWXJBwU58qu+SDq0lOduSDq01OcHUpqoPRXei5owu9FzzU3CF3Zc81TqOEL80lTqOMZKnNw4GivT/BHxw+C3xN8Q+KfCXw3+L/AMLviD4r8DXEln428M+CPH/hPxZ4h8HXcV9c6ZLa+KdF0HVr/UvD1xFqVleafJBq1taSpfWlzaMongljT1GhaxhNawqQjUpzWsKlOavCpTmrxqU5pNwqU5TpySvGclqD0lOL0lTnKnUi9JU6kdJU6kXaUKkW0pQnGE4tpShG58v0V9QUUAfL9akP/IF1D/sKaP8A+kmuV9GUUAfL9amh/wDIa0f/ALCmn/8ApXDX0ZRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX4X/ABv+HHw+/aI/4LIaf8Kfj54T8O/EL4Y+Cf8Agnr4k8XeDfCPji00jXvDNl4q8SfFKLQNf8T2Oi6ra3Fpba9HoxZItUaNtQsn0jT9TtLi3fTLWSH90K+HP2s/2A/hJ+11r/g7xt4h8cfGv4N/EvwTo2u+FNN+KP7PfxAj+HPjzUPAviaGePXvAGu6nc6J4isdV8IalNO13Np82mLdRzNcwW99Dp+qaxZajyYqjOq6bhCE7YfOcNacuX2NTNeHs5yfDY6GjvUy7FZhRxcYwcK7pyxLwtWli4YeZvTmlRxVL2s6E60cC4VqceacfqedZNmdWkldJLFUMvrYe81Kl7T2Crwnhp4iMvmf/gjR4p8V6h/wTD+GF3qBvLy48KD4xeH/AAfdXl59omvvD3hfx94vtfDcUVzdebHHaaasH9gWMbK1vbWelQRKnkxha/F/4TeDfCvh/wDYm/4JmftaeGvDOjy/tU+P/wDgphpsXjP4l20enx/Enx0PF3xT+LGj+JPC/iTxVbwprur6Pq2maNpNvcaTeXktjGL28uY7eM6tctP/AEyeDv2Nvh58NF/Zv0j4VeN/jH8LfAH7M+l+JNJ8PfCbwN8QJtL+GfxJg8TWYgu5/jV4fudOv7n4hX1lqDXfiLTLy41PT5rbxFqOoanI07XBiXwPwN/wSf8A2YvAHx00v406RrfxovdF8L/EHWvi14A/Z71v4kPqP7N/w1+KOvLE1/4+8DfDc6NDdaV4gW7FzqFmbrxFqGnWN1eFLTT4rPTdCtNJ9d1oSz5Zi5S9k8TkUniHG+KVHhzO8Nj68nCNrrirC0pxxFKlOm8JU5aWPVWk4ex4qkXLK62EhRp05VJ59iI4OEv9lg+Isn4iy/D4NTkmvZ8MYjNcDWoVfZ8uJhgoyy+NCvThJfg/8W/BPg7xj+x5/wAFaP2p/FugaPd/tM/Dr/gold6b4B+KV6ml3PxF8D6f4I+Jnwl0TwhonhXxUtuur6JpdppOr6nYxWGk3NrZ3VvZWSvDJ/Y9sYP68/Cd7qOp+FfDWpaxamx1bUPD+jXuqWRJY2eo3enW097aljyxt7mSWIk8kpk1+dnxI/4JQfsx/FD44a38Z9d1z406bo/jTxn4c+I/xO+APhz4kSaT+zr8WfiF4WaSTS/GnxD+HQ0e4udX1zz/ALJc3hsfEOlWF5c2QnmsGk1TxAdY/TIAKAqgKqgBVAAAAGAABwABwAOAK48H+5yqjhJ+7Viskg6Efeo4d5PwrgOH8VWpVFyxlLOMbhKua1EoKpFVv9plPGOtUqbYv99mVbEwV6Uqud1lWlpVqwzfPKGbYXCyg7yjTyjD0p4OnKc5RlKtP6rGnh7qS0UUUAFFFFABRRRQAUUUUAfzE/HT4Z/Dn48/tE/8F0PEHxv8J+HfGevfAr9mX4c2HwUvvFttpGs3vw4sovgn4y8aRan4FnvbaWbwvfTeK9OsNRe+0prXUFn1K+tZ7lxq10k/6FaZ8S/iTH/wROh+J7X+rWvxKg/YDl1uDXf7SZdcOpW3whkSy8UDVLjzJRqlzaRwa+Lssbg3UweJ1nKOPVP2m/8AgmJ8AP2pfibd/FXxP4v+Ofw313xR4Y0zwR8W9J+C/wAS38BeGfjz4K0a9tbvS/Cnxi0n+xdWbxJpNlDbvpkZ0y60HUJNNuFinv5Z9M0G40n6Aj/ZY8EQ+OLPxDB4u+KEPw5svgX/AMM+Rfs0x+L1/wCGapPBg3W66tcfDF9McTeMU0Vh4YXX31k58OqunNZsQZjxyw86mQYvKm4UquKy/AZeotuWGhWyrDcXSq5jN00pynxBWzzB4PExjCVfD06mOxGMliaVDDwq9arwhnWFzJRlUpYbMa2YppKNd0cZR4Nwcctpc7cYwyp5Fj81ozqz+rVq8cHQw9OlWxGKrR/Az4GfDn4a/AH4rf8ABCPxz8GvCHhfwj4k+M3wE+KUXxv1fw5DpWhXnj/SLn4I+E/GOt618QdQso7WXxC+ga5qmsaxFfa/PdPYHSrW0E0cGlwRweUfAmf4pfs1X3w//a+/aA/Zm/YL/aB+EX7Tf7cGuXEfxT8M3Pgn40/tT+APG3xK8darF4a8R+Ffiv4SuvG3wom8P+EPEHhuXVdJ8PeA9d1bXrTWRd6dd3vhXXLi6u9K/cT9mv8A4Jefs9fsw/FDTvir4Y8WfHL4h6n4O0LxB4V+Dnhn4x/EyTx54L+APhXxReXdzrnhz4OaI+jabN4e06+tbo6TLJq+oeIdRfTo2337X9/q19qPIeDP+CQf7K/gj4t6H8SNP8QfHPU/BfhD4l3Xxj8Bfs1a58T5L79mfwB8TriRbmHxl4T+G0eiW15aapp975t5ZJfeJdRsh572F1aXWjx22m2/sRxEHmlDGtSp0amNzPF1YNRmsBl+acXYTPsTkdKnSdKUprLMK8FgcwwGJw1PA5jUhW5J4CnKFXyZ0JrLa+EjyyrQwmCwsJxcoPHYvA5HxDl+GzSrOanFUqePzjCTxGCx+HxlXGZZl9Si5QxeIpql+ptFFFcZ1hRRRQAUUUUAFFFFABX8dnxb8E+DvGP7Hn/BWj9qfxboGj3f7TPw6/4KJXem+Afileppdz8RfA+n+CPiZ8JdE8IaJ4V8VLbrq+iaXaaTq+p2MVhpNza2d1b2Vkrwyf2PbGD+xOvzM+JH/BKD9mP4ofHDW/jPruufGnTdH8aeM/DnxH+J3wB8OfEiTSf2dfiz8QvCzSSaX40+Ifw6Gj3Fzq+uef8AZLm8Nj4h0qwvLmyE81g0mqeIDrGVOElj6Vb2kqEZUMPQWNpWlictnQ4l4WzyeMw1OS/eVa2EyLFZfywlTlz1MGqrngZ46k91VhHDcrpRruljqGMlg6llQzKjTyviLL55fiJyU6cKM6ucYevKVWlVpunTxNoOvHCn2H498L/EX4s/Ae48MeFviNrHwK+IXjXwl4eil8f6Boum+IvEHgue/GlXXidNFsdYlisk1ifTf7W0TTtXkc3Gg3t5Dr1mkt7p1vG/89X7Kmh6l+zn+zz/AMF2PD/w78T+M9W1j4V+MfipYeH/ABt4o8QpqfxB1LUdH+HXi5G8YeIPE7Wlot/4uvLnz9e1PV4bKzNzq8k1xa29o7xJH/Q94M+DQ8GfFj4q/FZfip8ZfFC/FODwpAvwz8YeOBrXwk+Gw8K6adND/CjwYNLtR4Ol8RA/bvFLDUdRGr6iq3OLfHl15v8ACT9jb4R/CDWv2n9X0yfxR4tt/wBrfxzq/jv4r+H/ABxd6Fqvh4XWvafqGl6roPh+y0vw7olxbeGryx1O7t5rLWrzXr143CtqRG4NGNpPFSzmdGFPDLOeG86wMsPzTnTw+MxuPyvEYHL3U9+TwNHD4PF06tago0ZfWfa1aOIxEXIjAS+qU8mpV5zxLybPMgxkcQlyzr0MDgsVRzHHRhOV1i6lWth3RpYqdWq3hrRq0qFWr7T8KvgH8Mfh58DPi/8A8EG/F3wR8F+HfDHi344fAv4m2Xxo1DwraadpOp/EXT9Q+CnhHxZq2qeOrrTIYLrxPcaJ4g1bVtWtrnWpLya0k0y0sY5Ei0y3ih/qEr84v2av+CXv7Pf7MHxR034reFvFvxz+IOqeDdD8QeFvg34a+MXxNl8d+DPgB4W8T3t1c634d+Deivo2mT+HdOvbW6/smWTV9Q8Q6i2nRtuv2v7/AFa+1H9Ha9TFYiFePNFSg6uY59mKoyUbYGjnGa08fhsrpyg/Zzp5fShKnz0YwoOpVksPFUk0cOHoToySlyyVLAZXgHWi3fGVcvpZlCrj5xklODxCx2HoU41nPE+wwNJ4ibk6cKZRRRXGdQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9k=
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACvl740ftwfsWfs3+KbTwN+0R+19+y78BfG2oaLbeI7Dwf8AGj4//Cj4W+Kb3w9e3d7YWevWnh/xx4t0LVrnRbu+03UbO21SG0exnu9PvbeKd5rWdI/qGvzl/wCCof8Ayb18K/8As+7/AIJwf+t3/s904RlUxOBoRcYxxWY5fgZylGUpQjmGOwuAjUglKKcqM8Uq0ozuqkKbppwnNVIaQjFwxMpc16OBzHFw5XFJyy/LM0zPknzJvlqxyuVC8GpU5V41ffjSlSq/anwp+MPwk+O/gjS/iZ8D/il8OfjL8N9bm1C30X4gfCnxv4Z+IngjV7jSb+40vVYNL8V+ENT1jQb+bTNTtLrTtQitL+V7K/tri0uViuIZI19Gr8Q/29f2j/2iPCPxM/bLb4a/tLS/s5aD+wv+wR4O/bD8MeEofA3wi8UaD+0L4z8R67+0NJf6P8arz4leAPHHjBfgxpi/AXw74HGm/AjxB8HviSNU8e+KLqTx7LeyeCE0rxn48/tXftaab4v/AG7/AIt+FP2rJPhvp37Gt7+xnrnw/wD2QG+GXwJ1rSfiVefHXwB8J9e1/wCFnxZ8Qa/4T1j4x6iPiz4q1jWvhp8En+GXjn4Wa9ofxN1bWZr3xV8SNIi0TwX4TdDkxVTBxpc1OONrQhT9s1N0qVWvQwdDEVZ4eEqc44jF1XBYbDupjsNDlljMNSbjGvGJhPCUq9Sq41HQo+0caKlF1aiowxs8NSjW5W50cBWo4ieJk3ga8/a4fC4ipiYOhH9//C3jHwj450yfW/BPirw54x0a21vxH4audX8La5pniDTLfxH4O1/UvCni7w/Pf6TdXdpFrfhbxTo2r+GvEelSSrf6Hr+lalo+pwWuo2N1bRdHX4B/C39pH9qb9prx58KfgHe/tReMf2cI/FHij/gqp401D42fD7wD+zfffELxVpv7JX7b1x8AvhT8GfDtp8ZPhT8TfhbZ+H/BHw28TWfiH4ialH8MNT8f+I7fw14VvR440hpfGeo+IP2u+CviD/hK/hD8MfEZ+KXgf43yaz4E8L39x8Y/hpZ6dp/w++KN1Po1o134+8F6dpHijxtpWneGvFV152taRp+neMPE9lY2V5Fa22uanFEt3K4Qc8PDE6RhUhh504tqc506tLDc9Z+y54UIxxdWrho0cTOniJOmp041qVqlR117HFYjC3cpYfE4rDVZKM4xhUoVcT7OmpVYUvrDqYWjHEOrhozpQcnSrQw9aNWlh8D4q/tL/s4/AnXvAfhX43/tAfBL4N+J/inqb6L8MfDnxV+K3gT4ea98R9YivNL06TSfAej+Lte0fUPF+px6hrmi2D2Hh+31G6S81fS7VohPqFok3pWt+MfCPhrU/CmieI/FXhzQNZ8ea3c+GvA2ka3rmmaVqfjPxHZaBrPiu88P+FLC+uoLvxFrdp4W8OeIfEtzpWkRXl/BoGg6zrEsCadpd9cwflF+3d4O8CfF/wAffF39lL4J/DLS/HH7XH7Zn7NWj/Bv48/E3xEbzXvA/wCzV+xw+s/EXQ7H4oePdO8QXt14Y/tCDX/HPxKn+CPwc8Lafp/if45/E21ur/xFLZfDz4d+MvHvgX4M+NPxs8Nr/wAFI/8Agn8/jnwh+2Dpsf7Ov7Xfi/8AZk+DOma/+x1+2VP4Y1nwVZ/saftG+EPHfxosviBo/wAGLj4PfFTWPi98ST4Vay1jwVrvic+EPgd8NYfilPP4R8I6z8XJ9HWBj9ar4HDVH7OpjsfOhSnDWlWwlKjm8cTUwsZpVK1TD5nh8kyqNac6WEx2LzDOfqlP2HC+YYqo8TH2FPHVo3ccDk9fH1YT0nDEKjRxWChXnT5oUKOOwdPNsaqDhUxuHwWX4DEVpxfEOW0If050UUVJAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc54o8HeEfHGnWukeNfCvhzxhpNhr3hvxTY6X4o0PTPEGnWfifwbr2n+KvCHiO1stWtbu2t9e8K+J9I0nxH4b1eGJNQ0PXtM0/WNMuLXULK2uIujryjx3qOoWer20Vpf3trG2mwyNHb3U8CFzc3ilykUiqXKqqliMkKoJwBgWji1o4yjOLWjjOElOE4tWcZwnGM4Si4yhOMZwlGUYyid/OMovzjOE6c4vvGdOpUpzi7xnCpUhOMoTnCed8Tv2b/wBnj42eJPh94y+M3wF+C/xc8X/CXVjr/wAKvFXxO+F3gfx74k+GeutfaXqZ1r4fa54q0LVtU8GasdS0PRNQOo+HLrTbw32j6Xdmbz9PtJIfCPDv7BXwMg/am+Ln7WnxC8B/Cf4rfE/xn438CeNfhP4m8Z/B3wfq3j39n278IfCbwb8L9Ti+HnxG1v8At3xDplx4pPg6016/1Dw0vhCSMyW+m3EOomwj1CX1P+3Na/6DGqf+DC7/APj1eC+Kf2y/groHiDU9Av8A4qalZanoM66Hq9mmh+P5Ba61o8MWnazbma10CW2uHh1S2u45Lm2lmt7l1a4gnnikSV/Vybh/O86xP/GP5NmubYrLqeLruGUYDF42pgo5ssPg8Xi3SwdOf1erjFg6GHljVGliJunKmsVJzqRl5OdcQZHkmHg+Ic6yvKcNjpUMNTnnGYYXBUsX/Z06uPo4OFTGVYKvSw08RUxX1NOpQi5qrLDJxhNfQPxB/ZG/ZR+LXga2+GHxV/Zj/Z6+Jnw1svGmu/Emz+HnxB+C3w38Z+BrT4ieKNT1/WvE3j628JeI/DWpaBB408Raz4r8UatrvimLT01zV9T8Sa/f6hfXF1rGoy3PvVhYWGlWFlpel2VppumabaW1hp2nWFtDZ2FhYWcKW9pZWVpbpHb2tpa28ccFtbQRxwwQxpFEioqqPzk/4bh+Bf8A0V3VP/BB8Rv/AJnaP+G4fgX/ANFd1T/wQfEb/wCZ2vdXh14gRjKMeB+LoxnOFScY8OZvGM6lOjTw9OpOMcJGM6lPD0qWHpznGU4YelSoQnChTp0afhS8R/D6clOfHXCE5xVSMZz4kymc4xq1pYirGM5YuUoxq4ic8RVjGUY1cROdepGpXnOtL3X4u/sE/sMftA+M7n4j/Hn9i/8AZO+NvxDvLGw0u88efF39nT4P/Enxnd6ZpUJt9L0658UeMvB2ta5PY6bbkwWFpLfPb2cJMVvHGny19B3fw/8AAWoS+B57/wAEeEb2b4Y6h/a3w1mu/DWjXMvw91T/AIRrVvBn9peB5JrJ38J6h/wh+v674T+2aAdPuf8AhGta1bQvM/svUby1m+B/+G4fgX/0V3VP/BB8Rv8A5naP+G4fgX/0V3VP/BB8Rv8A5naIeHXiBSgqdLgbi6lTjUdaNOnw5m1OnGs/bXrKFPCU4Ks/rOJvWUFVf1nEXqv6xX9uS8R/D6c3Unx1whOpKk6Epz4kyic5UJRhGVFzli5TdGUaVKMqLm6Mo0qcXScadONP9JqK/ObUf25PgHJqF/JafFzUhayXt09sI/DvxGiQW7TyNCEiPhtDGgjK7YyilBhSq4wKX/DcPwL/AOiu6p/4IPiN/wDM7R/xDrxA/wCiH4u/8RzN/wD5kD/iI3h9/wBFzwh/4keUf/NZ+k1Ffmz/AMNw/Av/AKK7qn/gg+I3/wAztH/DcPwL/wCiu6p/4IPiN/8AM7R/xDrxA/6Ifi7/AMRzN/8A5kD/AIiN4ff9Fzwh/wCJHlH/AM1n6TUV+c1h+3J8A455Gufi5qRjNlqKLv8ADvxGkH2iTT7qO0IUeG2w4umhMcmAInCylkCF1pf8Nw/Av/oruqf+CD4jf/M7R/xDrxA/6Ifi7/xHM3/+ZA/4iN4ff9Fzwh/4keUf/NZ+k1Ffmz/w3D8C/wDoruqf+CD4jf8AzO0f8Nw/Av8A6K7qn/gg+I3/AMztH/EOvED/AKIfi7/xHM3/APmQP+IjeH3/AEXPCH/iR5R/81n6TUV+bP8Aw3D8C/8Aoruqf+CD4jf/ADO1dtf25PgGsGorN8XNSMklkiWm7w78RnIuBqFhIxjYeG28p/ssdyDISgKF4txMgRj/AIh14gf9EPxd/wCI5m//AMyB/wARG8Pv+i54Q/8AEjyj/wCaz9GaK/Nn/huH4F/9Fd1T/wAEHxG/+Z2j/huH4F/9Fd1T/wAEHxG/+Z2j/iHXiB/0Q/F3/iOZv/8AMgf8RG8Pv+i54Q/8SPKP/ms/SaivzZ/4bh+Bf/RXdU/8EHxG/wDmdo/4bh+Bf/RXdU/8EHxG/wDmdo/4h14gf9EPxd/4jmb/APzIH/ERvD7/AKLnhD/xI8o/+az9JqK/NG9/bv8Agraw6ba2fxH1LUTqXiG2t9TvDpfj+1fQdFg8PeKb2TVVSbwyz6ik+uW3h/RH021kiuM6xHqh32uk3S1Y/wCG4fgX/wBFd1T/AMEHxG/+Z2safAXHNariaFLgziudbB1KNLFU48PZs5UKmIw0MZRhUX1T3ZVMLUhXgnvTkpbM68RxxwThcNl+MxHGXCdLDZrRxWIy+tLiPJ+XFUcFmFXKsVUp2xjfLRzCjVws+ZJ+0g7Jxsz9JqK/Nn/huH4F/wDRXdU/8EHxG/8Amdo/4bh+Bf8A0V3VP/BB8Rv/AJna2/4h14gf9EPxd/4jmb//ADIcn/ERvD7/AKLnhD/xI8o/+az9JqK/Nn/huH4F/wDRXdU/8EHxG/8Amdq7dftyfANoNOWH4uakJI7KRLvb4d+IyE3B1C/kUyMfDa+a/wBlktgJAXAQJFuBjKKf8Q68QP8Aoh+Lv/Eczf8A+ZA/4iN4ff8ARc8If+JHlH/zWfozRX5s/wDDcPwL/wCiu6p/4IPiN/8AM7R/w3D8C/8Aoruqf+CD4jf/ADO0f8Q68QP+iH4u/wDEczf/AOZA/wCIjeH3/Rc8If8AiR5R/wDNZ+k1Ffmz/wANw/Av/oruqf8Agg+I3/zO0f8ADcPwL/6K7qn/AIIPiN/8ztH/ABDrxA/6Ifi7/wARzN//AJkD/iI3h9/0XPCH/iR5R/8ANZ+k1FfnNf8A7cnwDknRrb4uakIxZacjbPDvxGjH2iPT7WO7JU+G1y5ulmMkmCJXLShnDh2pf8Nw/Av/AKK7qn/gg+I3/wAztH/EOvED/oh+Lv8AxHM3/wDmQP8AiI3h9/0XPCH/AIkeUf8AzWfpNRX5s/8ADcPwL/6K7qn/AIIPiN/8ztH/AA3D8C/+iu6p/wCCD4jf/M7R/wAQ68QP+iH4u/8AEczf/wCZA/4iN4ff9Fzwh/4keUf/ADWfpNRXwB4O/aw+F3j/AMSad4R8I/EzVNW8Q6t9s/s/T/7M8b2H2j7BYXWp3f8Apep6PZWMXlWNlcz/AL+5j8zy/Lj3zPHG/wBC6xrGrxavqsUWq6lHHHqV9HHHHfXSJGiXMqoiIsoVUVQFVVACgAAACvAzXJc4yLEQwmd5VmOUYqpRjiKeGzPBYnA150JznTjXhRxNOlUlSlUpVIRqKLg505xTvGSX0GVZ1k2e4eeLyTNstzjCU60sPUxOV43DY/DwxEIQqSoTrYWpVpxrRp1ac5U3JTUKkJNWlFv3qivOfAF9e3v9rfbLy6u/L+weX9puJZ/L3/bd+zzXfZv2Lu243bVznAx6NXmHphRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFeDftSfFHxB8Ef2bfjv8YvClno+oeJvhf8ACbx7480Cx8Q297d6Feav4W8N6jrGn22sWum6hpOoXGmzXVpHHeQ2Wp6fdSQM6wXlvIVlX8TfBf8AwUm/4KW6zr37JWjar8Df2OJ5f28fhf4i1X9n+3tvGHxb0N/BHirw34f0PV7vxr8Yb0jxVFdeC7mzub3xNZfDrwXaT+J30bUtO0O6+INp4g0i9OqzSl7atUw9KM51ac8JS5VGyqV8fQzPE4PD0pOSjOviKWTZlKEG6cI/VZurWpRcJzqpH2VGOIqShClKOLnzOWsKOAllyxlecVFyjRw6zXAzqTSnLkqtwp1HFxP6K6K/DPwL/wAFL/2jfFP7GnxH+JOqeCv2ZfCv7RHwt/at8Q/sp+NfEXj74o2vwq/Zf8Najod1bXd58T7278e+NLHxprPhzSNKvYNMl8D+GNe1f4g+JtShl1fw1pcsEkmg2XK/sof8Fa/i78cvgN+2l4rvvDH7OvxE+Jf7MEXga+8JeLfh54x8QfA79n3x7pvxIF9p2mXmra7+1FqXgzXPCFl4L1bRtWvPEmoeKb3w2viOyiTSvDtna3zWF/rD5otYx02q0cHl+FzSUqTUo18FjcLlGMw1bDSlKipqph8+ymonXeAjbFStUksJj54M5JKWHjOLpSxGY18qtVXI6GOw+Ox2XVaWK+P2SWLy7F01KH1rSFOpKNOGIw7q/vtXjfxD/wCQ1a/9guD/ANK72vyi/wCCc/8AwU3+KX7T37T/AMVP2YvivqX7MPxEvvB3w3uviBonxR/ZNT4uwfDyO78O+LtN8I+KPCV/c/GCOO88WzvLr+lapo/i3wV53gy4sYXbS9X8SQ6lHd6Z+m9zr2q+LtX8RP4g8FeJ/hc3h3xFq/hXR4vHV34N1B/HuhaRcsdP+JXhM/DPxb8RY7PwT4pNzMuhWHjmTwZ8Rrc6fef8JN4A8Oq9g19rOlKFPDVW4yp4vDxxVCcW2p0ZVcRRUrShTlFqrhq0WnBXSjOEqlOpTqTxhVjOdeklKNTDVI0q0Jx5ZRlOhRxMHbmknGdGvTmndSTVSnUhSq0qlOOTX88nxr/5LL8W/wDspvj3/wBSrVa/ov8A7PtP+g5pf/fnWv8A5T1/On8blCfGj4vIsiSqvxQ8fqssYcJIF8V6sBIglSOQI4G5RJHG4BG9FbKj+q/onf8AJR8Z/wDZPZV/6vap/KH0tP8AknOC/wDsoc1/9UNE8vooor+4T+GgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEJwQPU4/Qn+lLSE4IHqcfoT/SlrzMFX9rj87o/XvrP1XFZdT+qfVvY/wBl+2yXD4r6v7ey+ufXef8AtP2t5fV/bfU7r2fKvdzTCewyjhbE/wBk/Ufr+X51W/tH679Z/t76rxTjMB9c+q8z/sz+zPZf2D7C0frn1b+0rS9rzMooor0zwgooooAKKKKACiiigAooooAKKKKAPpr9jr/k474df9zd/wCoJ4nr94tc/wCQ1rH/AGFNQ/8ASuavwi/YzjSX9pP4bxyTxWyN/wAJhmaYTtEmPAXilhuFvDcTHcQEXZC/zMC21NzL+9+sWNq+r6q7axpsTNqV8zRSRauXjLXMpMbmLSpIy6E7WMckiEg7HZcMf4F+lP8A8nAyj/skcD/6t86P7/8Aoq/8m+zj/sr8f/6qMlOq+G3/ADGv+4d/7f16hXnPgC3ig/tbyr61vd/2Dd9mS9Ty9v23G/7ZZ2md+Tt8vzMbG37Mru9Gr+aT+mQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPH/ANoP4T/8L3+BXxf+Cv8Ab/8Awiv/AAtb4b+Mfh9/wkv9lf25/YP/AAlmhXui/wBr/wBjf2jo/wDan9n/AGz7T9g/tXTvtXl+T9ttt/mr8beDv+CeP/CJ+K/+Cdvif/hb/wBv/wCGB/hz458AfYf+EA+y/wDC1/8AhM/h1ZeAP7W+0/8ACbXP/CC/2b9j/tb7B9n8Y/bPM+wfbbXZ9tb9KaKKX7irKvS92rKtha7lvergsLm+Cw07SvH93hs+zWlypcs/rXPNSnRoSpFT97S9jU96l7HHYfl2/dZj/Z6xkLq0v339lYD3r81P2H7tw9pV5/xH8R/8EcZtV+HXinw3of7TN34b8e3H7c/ir9uH4feOm+DOg+JtA8HeI/Ettp1pF4O8Q/DbxP4y1PRPiBBo0dgbix1y+1HRYJL10a58OSWH2zTr+LWP+COWteNfAn7Xnhj4n/te+LfiH4m/a2ufgb4u1/x7qXwk8J6RqGg/FL4NxTzzeIbnw9oXiGx8MeIfAviLVLl1sfhtBpnh1PDHhu00rQ4vFGr6hYN4iuv29oqIU4U6XsIJxpexoUIxu26dPDYPh3A0vZSlzOlNYfhPhxTqw/eVauUYWvWdSp7WNa51J1K0q82pVZ16uJqTsl7SrWxea46bqKPKpw+sZ5m8oU3+7pU8xxVGnGFOouT8wv2ZP+Cf3xQ+CX7TLftRfFL9rPU/2gPGuq/AM/AvxLp1/wDBTwT8L9Haw07xjZ6/4TvPBeneA9ag0bwXoPh7Q9L0/RpfCx0bXp9W1mfXfE0viO1TVLXQ9J+2fiH/AMhq1/7BcH/pXe17JXjfxD/5DVr/ANguD/0rva3nVnUjTjNpxpKrGmlFLlVfF4vHVbtayc8XjsZXlKcpzdTE1m5yc23hClCnKcoRs6ioKers1hsNQwdBJfDFU8LhsNQioRjFU8PQjypUoW4Ov55PjX/yWX4t/wDZTfHv/qVarX9Ddfn58Qf2Av8AhJvHHivxT/wtn7F/wlmu6h4s+w/8IH9p+wf8JRcPr/2D7V/wmVv9q+w/2j9k+1fZ7b7T5Pn/AGa38zyU/f8A6PXHHC/A+dcTYvijM/7Mw+YZNl+FwdT6njsZ7avQzapiatPlwOGxM4ctCSnzVIwg78sZOXun8+/SH4G4o46yThjCcLZZ/aeIy7OcwxeMp/XMDg/Y4evlFPC0qnNjsThoT5q8XDlpynNW5pRUbSPyaor9NP8Ah3R/1WL/AMx7/wDhxR/w7o/6rF/5j3/8OK/qn/iYDwk/6Kv/AMwnEH/zrP5T/wCJffFz/ok//M3w9/8APQ/Muiv00/4d0f8AVYv/ADHv/wCHFH/Duj/qsX/mPf8A8OKP+JgPCT/oq/8AzCcQf/OsP+JffFz/AKJP/wAzfD3/AM9D8y6K/T6+/wCCb/2K9vLP/hcvmfZLq4tvM/4V3s8zyJXi37P+E5fZv2btu5tucbjjJq/8O6P+qxf+Y9//AA4o/wCJgPCT/oq//MJxB/8AOsP+JffFz/ok/wDzN8Pf/PQ/Muiv00/4d0f9Vi/8x7/+HFH/AA7o/wCqxf8AmPf/AMOKP+JgPCT/AKKv/wAwnEH/AM6w/wCJffFz/ok//M3w9/8APQ/Muiv0+s/+Cb/2uV4v+Fy+Xstb653f8K735+xWVxebMf8ACcrjzPI8vdk7N+/a+3aav/Duj/qsX/mPf/w4o/4mA8JP+ir/APMJxB/86w/4l98XP+iT/wDM3w9/89D8y6K/TT/h3R/1WL/zHv8A+HFH/Duj/qsX/mPf/wAOKP8AiYDwk/6Kv/zCcQf/ADrD/iX3xc/6JP8A8zfD3/z0PzLor9NP+HdH/VYv/Me//hxVq3/4Jv8AnxX0v/C5dn2K1S52/wDCu93mb72zs9mf+E5GzH2vzN2Hz5ezaN+5T/iYDwk/6Kv/AMwnEH/zrD/iX3xc/wCiT/8AM3w9/wDPQ/MGiv00/wCHdH/VYv8AzHv/AOHFH/Duj/qsX/mPf/w4o/4mA8JP+ir/APMJxB/86w/4l98XP+iT/wDM3w9/89D8y6K/TT/h3R/1WL/zHv8A+HFH/Duj/qsX/mPf/wAOKP8AiYDwk/6Kv/zCcQf/ADrD/iX3xc/6JP8A8zfD3/z0PzKJwQPU4/Qn+lLX6L65+wH/AGLceELf/hbP2n/hK/GQ8Jb/APhBPJ+wZ8DePPGn9obf+Eyl+1f8iR/Zv2Tdbf8AIT+2faf9C+y3e7/w7o/6rF/5j3/8OK4sN4/+FSxWZOpxt9YpOvhHh8N/q7n1L+z4LLaSq0fbLK+bFfWsRzZh7SetH2v1WPuQR6+P+j14rxy3h+VPgD6lVqYPNZYjH/6z5DiP7anDiDE06WK+rPNeXL/7Ow6jkvsYWWK+r/2hL36rZ+ZdFfpp/wAO6P8AqsX/AJj3/wDDij/h3R/1WL/zHv8A+HFdv/EwHhJ/0Vf/AJhOIP8A51nkf8S++Ln/AESf/mb4e/8AnofmXRX6af8ADuj/AKrF/wCY9/8Aw4q1cf8ABN/yIrGX/hcu/wC22r3O3/hXe3y9l7eWezP/AAnJ35+yeZuwmPM2bTs3Mf8AEwHhJ/0Vf/mE4g/+dYf8S++Ln/RJ/wDmb4e/+eh+YNFfpp/w7o/6rF/5j3/8OKP+HdH/AFWL/wAx7/8AhxR/xMB4Sf8ARV/+YTiD/wCdYf8AEvvi5/0Sf/mb4e/+eh+ZdFfpp/w7o/6rF/5j3/8ADij/AId0f9Vi/wDMe/8A4cUf8TAeEn/RV/8AmE4g/wDnWH/Evvi5/wBEn/5m+Hv/AJ6H5l0V+n15/wAE3/skqRf8Ll8zfa2Nzu/4V3sx9tsre82Y/wCE5bPl+f5e7I37N+1N20Vf+HdH/VYv/Me//hxR/wATAeEn/RV/+YTiD/51h/xL74uf9En/AOZvh7/56H5l0V+mn/Duj/qsX/mPf/w4o/4d0f8AVYv/ADHv/wCHFH/EwHhJ/wBFX/5hOIP/AJ1h/wAS++Ln/RJ/+Zvh7/56HzL+x1/ycd8Ov+5u/wDUE8T1+8Wuf8hrWP8AsKah/wClc1fAnwc/Yu/4VN8R/DnxB/4WV/b/APYH9r/8Sj/hDv7K+1/2roOqaJ/x/wD/AAlWpeR5H9pfaf8Ajym83yfJ/d+Z5sf33rn/ACGtY/7Cmof+lc1fyJ4+8YcO8a8YZdmvDOYf2lgKHDmEwFWv9VxmE5MXSzHM686Xs8bQw9WXLSxFGXPGDpvn5VJyjJL+v/o/8HcR8E8HZllXE+Xf2bj8RxHi8fSofWsHi+fCVcuyuhCr7TA4jEUo81XD1ockpqouTmcVGUW+8+G3/Ma/7h3/ALf16hXl/wANv+Y1/wBw7/2/r1Cvw4/cwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK8W/aI+Pvw6/Zf8Agz47+OvxWvr6x8EfD/SV1LU00myGo63ql3d3dvpmi6BoWntNaw3et+INavbDRtKiu7yw09b29hm1TUdN02K7v7aKlSFKDnUlyxTim7Sbcpzp0oRjGEZznOdWtSp04QhOdSpVp04QnOcISunTnWqQpUoudSpJRhCNrybu924xSSjKUpSlGMYxnOc4QhOcfaaK/J6P/gpn4C+L3wp/ax07w/4T/ae/ZT+MPwK+APiH4uy6X8cPgL4d034laV4WfRdVbTfiR4N+HXiPxpP4V8ZQaPqdtbG30Xxb4i8M6frd5PZ2xnbTJb2+tOVtf+Csvwr+Ffhz9n34eeMPCH7U37RHxh+JH7J3wy/aFstR+FvwJ8IXvib4j6V4i01BqupXHw/8H/EG60/wf4oW107XfG/ifRLKeTwF4Y0Wwv7bTvGWoTxadZXtSagpuo1T5Vh5Qu1JVoYjCZxjXUpypupBQw+HyLNJ4h1Z0nSWDxPMofU8YsNEf3kacqX71VKmJpNw09nPDvKI8sufkcnXlnuVxw/sVV9r9cw0oupTxWEqV/2Lor8nfhv/AMFk/wBk/wCKfjD4DeHPDXhj9oO18N/tCaxpfgvwn8XfEfwhvfDnwe0b4ranBO3/AAp3X/G2q6vbx6h8QbC/XT9G1JPAdj428J2+oa1pkyeK5tJGoanp/uul/wDBQn4Mat4A/bI+I1t4Y+J6aH+xB4y8f+CPivaz6L4UXVfEGrfDm0nvdbuPh5BH41ltNW066it3XSpfEl94TuZ5Cou7SxUl1dX9xGpOr+7hRo4zEVZS2p0MBiMBhMZVlbmahQr5rlkZO15wzDBV6Ma+FxVDF1Cn++lCFL351J4SnCMd51MdHMZYSEb2TlX/ALJzOMbNqNTAYqjWdCvSlQf3bXjfxD/5DVr/ANguD/0rva+APg1+2R45+Nv/AAUG+Hvgvwvr+r2H7N3xP/4Jy+Fv2oPDnw88QeG/B1prtl4s8X/EfR7PTNY1nWtNttV12DU4PCuprpl9oVn4x1HwxFciSe3hubhI75vtm58a+Dfijq/iKX4Z+LfDHxFj8BeItX+GvjmTwLr2leLk8GfEbwtcs3ibwB4sfw/d6gvh3xt4dXULBtd8K6wbPXdIF9ZnULC3FzDv0nRq0oUpVYSpSqvFxdKdlVpTwWaZplFenVScoqccXlGLsozmvZum3LmcoxhVISqVKcJqoqdPBVfaQu6dSGPwFHMaLptqMnajXjCfNCNqsZxjzRSnLJr/ADBf2/f+T7v21v8As7b9o/8A9XH4yr/UO/sPWv8AoD6p/wCC+7/+M1/l5/8ABQCN4v28f22YpUeOSP8Aa5/aRjkjkUo8bp8ZPGaujowDK6sCrKwBUgggEV+heHH+/Zp/2BYf/wBTJHwfiB/uWW/9hmI/9RInyPRRRX60flwUUUUAf1sf8Gtf/N9H/dsn/vwdf1sV/Jj/AMGsVje3v/Ddf2Ozurvy/wDhmLzPs1vLP5e//hoXZv8AKR9m/Y23djdtbGcHH9cX9h61/wBAfVP/AAX3f/xmvwfjP/kpMx/7lP8A1Cw5+2cI/wDJPZf/ANzX/qZXMuitT+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGa+XPpA0f/AI+5v+wXrn/pl1Csuum0rR9XjuZWk0rUo1Om6xGGexulBeXSL6KJAWiALySOkca9XdlRQWYA5v8AYetf9AfVP/Bfd/8AxmgDLorU/sPWv+gPqn/gvu//AIzR/Yetf9AfVP8AwX3f/wAZoAy61NP/AOPTXP8AsFw/+nrR6P7D1r/oD6p/4L7v/wCM1pWOj6ultrCvpWpK0umxRxK1jdKZHGr6VKUjBiBdxHHJIVXJCRu+NqsQAczRWp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNAGXRWp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNAHMa14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/ALb5XkTfbPM/4RX+z/s/mWu37f8Aa/Pb7L9muNOo9cv9U8P/APCJ6LJoN/PN458eW3huAulxbS2n2D4f/ErxjLexW5tJX1DCeFhYyW6Pb+Ut+L1pyLX7Nc7H9h61/wBAfVP/AAX3f/xmsKcuariY+15+SpRXs+Tl9hzYaE+Tm/5ee0v7fm15Ob2fSx6OLo+zwWUVfqf1f6zhsfP619Y9r/aPsc3r4b2/sbv6p9U5P7O9nZe39l9as+e5l0Vqf2HrX/QH1T/wX3f/AMZo/sPWv+gPqn/gvu//AIzW55xl1qah/wAemh/9gub/ANPWsUf2HrX/AEB9U/8ABfd//Ga0r7R9Xe20dU0rUmaLTZY5VWxumMbnV9VlCSAREo5jkjkCtglJEfG1lJAOZorU/sPWv+gPqn/gvu//AIzR/Yetf9AfVP8AwX3f/wAZoAy6K1P7D1r/AKA+qf8Agvu//jNH9h61/wBAfVP/AAX3f/xmgA1j/j7h/wCwXof/AKZdPrLrptV0fV5LmJo9K1KRRpujxlksbpgHi0ixilQlYiA8ciPHIvVHVkYBlIGb/Yetf9AfVP8AwX3f/wAZoAy6K1P7D1r/AKA+qf8Agvu//jNH9h61/wBAfVP/AAX3f/xmgDLrU1z/AJDWsf8AYU1D/wBK5qP7D1r/AKA+qf8Agvu//jNaWsaPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBoA6r4bf8xr/ALh3/t/XqFec+ALG9sv7W+2Wd1aeZ9g8v7TbyweZs+279nmom/ZvXdtzt3LnGRn0agAooooAKKKKACiiigAooooAKKKKACiiigAooooAK+S/25/hT40+N37Kvxf+GPw/8DfCz4m+KPEug2q2Hw8+MreLLbwJ4zGl6xp2szaDdav4I8X+BPEnh3XLpNPL+E/Edl4p0iLRfFEWkX19e2ljFcXlv9aUVjiKMcRRnRm3GM1HVKEmnCpSqxfLVhUpySnRptwnBwnFShKylzQ1oVpYetTrRSlKnLmSk5pPScWuanOnUjeNSaU6c4zg2pwfNFJ/y3/sy/8ABPj9tzwN4B/bQ8J6T8JfiL+z58GPiX+y58XPBngX9lbxx+1f8Ovj7onin48fEWKb+zdd+H914bsPDPhT4e6DpGlafZ+GpNR8fapd+M5o57BdY8b+KrG41K60P6//AGZP2OP2j/h7+1H+zb8RvGHw5/sjwb4B/wCCVPgL9m3xbrP/AAl/gTUP7J+NOi3VlJqfgz+z9L8UXuq3/wBmSGRv+Ei0yxvPCc23FvrspKg/ujRW1b99CpTldKpgqmBk+aU6nsqmRcS8PuTq1ZVKs5wwPFONdH2tSrGjLC5dSp3wuGlRrYRioRUFssS8UrKMV7SWN4dx0rQpxhTjz1+GsHKrKFOnOvPE4+tVvXrU6lL+brwJ+wD+1VoP7H3/AAS/+F938Jvsnj/9n79u3TvjX8btD/4Tz4cT/wDCJfD+3+KXjrXZPE39pxeM5tF17Z4d1PRbr+xvCWoa1rbef5C6U19Hdwx1viV+y7/wUQ+Hrf8ABTX4EfBz9mDwd8Wvhj+2947+InxJ8KfG+++O/gPwdH4Th8eaFfXeteF7jwBrU9r4l1rxFdpIvhTw/Lc/8Iz4c0jxRLb6prGvap4Va5v7X+k6iliV9beJ9ppHGf2pHE04aQq0c2o8KUq+Hd7yhSo1ODMmxGH9nKFSNVYunUqVMNiHSp605ulUp1Ype0pSw1SjJ3/dVsLmnFOa0qyV+WUva8X5xQlGop0pYd4V8ir0PbT/ABW/Y6/ZJ/aD+Ff7V/7OfxL8e/D/APsHwT4D/wCCVfws/Zu8V61/wlfgnVP7K+NPhvxZ4a1PWvBn9m6N4k1HVr77FY6fdz/8JFptheeFLjyfLtNdnmkijf8AUX4h/wDIatf+wXB/6V3teyV438Q/+Q1a/wDYLg/9K72unEYmpiZc1RQT9rj6vuJpc2Y5vm+dVlq37scVnOKp0lvGhToRk51IzqVOalQhRvyuTvRwNF8zT9zL8BSy+i9EvelRoxlUezquTioxaguDr/MF/b9/5Pu/bW/7O2/aP/8AVx+Mq/0+q/hI/bD/AOCMH/BSv4k/ta/tP/EnwV+zb/bXgv4jftCfGT4g+DNa/wCFw/APTv7Z8IeN/iH4i8UeGNX/ALO1b4p2Grad/aeharYX32DVbCx1Oy8/7NqFlaXkU1vH9rwDjMJg8ZmUsXisPhY1MHQjCWIrU6MZyjipScYupKKlJR95pXaWr0PjuOMJisXhMvjhcNXxMoYqvKcaFGpWlCLw0YqUlTjJxTl7qbsm9Nz8BqK/Wz/hxZ/wVQ/6Nb/8zb+zp/8APdo/4cWf8FUP+jW//M2/s6f/AD3a/T/7cyX/AKG+Wf8Ahdhv/lh+cf2Nm/8A0K8x/wDCLEf/ACs/JOiv1s/4cWf8FUP+jW//ADNv7On/AM92j/hxZ/wVQ/6Nb/8AM2/s6f8Az3aP7cyX/ob5Z/4XYb/5YH9jZv8A9CvMf/CLEf8Ays/Wz/g1r/5vo/7tk/8Afg6/rYr+eL/ggv8AsH/tW/sRz/taW/7T/wAK/wDhWU3xDl+B8Pg9P+E4+G/jT+15fBD/ABkj8Tru+HvjDxYmn/2Y/ijQhu1RrJb37dnTzdi1vDb/ANDtfi3FtejieIMfWw9alXoz+rclWjUjUpy5cJQjLlnBuMuWScXZu0k09Uz9e4Xo1sPkWBo16VShVh9Y56VWEqdSPNiq0o80JpSV4tSV1qmmtGFFFFfOH0BqaP8A8fc3/YL1z/0y6hWXWpo//H3N/wBgvXP/AEy6hWXQAUUUUAFamn/8emuf9guH/wBPWj1l1qaf/wAemuf9guH/ANPWj0AZdFFFABRRRQBma14k/sOLwxpn2L7V/wAJl48svDfn/aPI/s77L4B+JXi/7b5XkTfbPM/4RX+z/s/mWu37f9r89vsv2a406zNa8Sf2HF4Y0z7F9q/4TLx5ZeG/P+0eR/Z32XwD8SvF/wBt8ryJvtnmf8Ir/Z/2fzLXb9v+1+e32X7NcadYU5c1XEx9rz8lSivZ8nL7Dmw0J8nN/wAvPaX9vza8nN7PpY9HF0fZ4LKKv1P6v9Zw2Pn9a+se1/tH2Ob18N7f2N39U+qcn9nezsvb+y+tWfPcKKKK3POCtTUP+PTQ/wDsFzf+nrWKy61NQ/49ND/7Bc3/AKetYoAy6KKKACiiigDU1j/j7h/7Beh/+mXT6y61NY/4+4f+wXof/pl0+sugAooooAK1Nc/5DWsf9hTUP/SuasutTXP+Q1rH/YU1D/0rmoA7z4bf8xr/ALh3/t/XqFeX/Db/AJjX/cO/9v69QoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivIPi38Xf+FTP8OU/4Vh8X/iX/AMLF+Jfhr4bbvhJ4K/4TJPAv/CStcL/wn3xGP9p6b/wjHw00D7Pu8S+KcX39lLPbn7BP5vyi1lTgviq1adGmv5qtaThThd2jHmkmuacqdOO9SrTj7zNozl9mnSq1pv8Alp0ac61WVt5clOnOXLCM6kuXlp0qtRxpz9fooooAKKKKACvG/iH/AMhq1/7BcH/pXe1Kvxd3fHR/gb/wrD4vjZ8NP+Fk/wDC4W8FY+Bbf8VDH4f/AOEBT4g/2nz8S/3n9t/8It/ZA/4p9JNS+3/L5Ji+If8AyGrX/sFwf+ld7QtYQqL4KinKD/mUK1ahJ2dpRtVw9aFpwg3yc8VOlOlWrD0nKD0nBU3Jb2VWlCvT1V4vmpThP3Zycb8s1TqKVKHB1/CR+2H/AMFn/wDgpX8Nv2tf2n/ht4K/aS/sXwX8Of2hPjJ8PvBmi/8ACnvgHqP9jeEPBHxD8ReF/DGkf2jq3wsv9W1H+zNC0qwsft+q399qd75H2nUL27vJZriT+7ev8wX9v3/k+79tb/s7b9o//wBXH4yr73gHB4TGYzMo4vC4fFRp4OhKEcRRp1owlLFSi5RVSMlGTj7ras2tHofEccYvFYTCZfLC4mvhpTxVeM5UK1SjKcVhoyUZOnKLklL3kndJ67n1t/w/T/4Kof8AR0n/AJhL9nT/AOdFR/w/T/4Kof8AR0n/AJhL9nT/AOdFX5J0V+n/ANh5L/0KMs/8IcN/8rPzj+2c3/6GmY/+FuI/+WH62f8AD9P/AIKof9HSf+YS/Z0/+dFR/wAP0/8Agqh/0dJ/5hL9nT/50VfknRR/YeS/9CjLP/CHDf8AysP7Zzf/AKGmY/8AhbiP/lh/pSf8EqPj38Wf2nv2CfgV8dPjl4r/AOE4+KnjyX4rTeK/FP8AYXhrw1/asug/Gv4j+FtJb+xPCGjeH/Dlj9k0HQ9LsNum6RZrP9l+1XImvJ7i4m/QyvyT/wCCFn/KK/8AZb/7rd/60X8Xa/WyvwXOKcKWbZpTpwjTp08wxkKdOEVGEIRxFSMYQjFKMYxikoxSSSSSVj9uymc6mV5bUqTlUqVMBhJznOTlOc5UIOUpSbblKTbcpNttttu4UUUV5p6BqaP/AMfc3/YL1z/0y6hWXWpo/wDx9zf9gvXP/TLqFZdABRRRQAVqaf8A8emuf9guH/09aPWXWpp//Hprn/YLh/8AT1o9AGXRRRQAUUUUAZmteJP7Di8MaZ9i+1f8Jl48svDfn/aPI/s77L4B+JXi/wC2+V5E32zzP+EV/s/7P5lrt+3/AGvz2+y/ZrjTrM1rxJ/YcXhjTPsX2r/hMvHll4b8/wC0eR/Z32XwD8SvF/23yvIm+2eZ/wAIr/Z/2fzLXb9v+1+e32X7NcadYU5c1XEx9rz8lSivZ8nL7Dmw0J8nN/y89pf2/Nryc3s+lj0cXR9ngsoq/U/q/wBZw2Pn9a+se1/tH2Ob18N7f2N39U+qcn9nezsvb+y+tWfPcKKKK3POCtTUP+PTQ/8AsFzf+nrWKy61NQ/49ND/AOwXN/6etYoAy6KKKACiiigDU1j/AI+4f+wXof8A6ZdPrLrU1j/j7h/7Beh/+mXT6y6ACiiigArU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmoA7z4bf8xr/uHf+39eoV5f8Nv+Y1/3Dv8A2/r1CgAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/IP/grV/wAfX/BOb/tJV+zV/wClPiGv18rkPFvw98A+Pz4cbx34H8H+NW8HeJdM8aeEW8W+GtF8SHwt4x0UyNo/izw4dZsr06H4l0kzSnTNd0z7LqlgZZDa3URdsum+TFZdiHrHA5rlmYziviqQwGKliJ0oN6RnUjLlhKXuRkrzTQS1w+Po9cZlebZfGXSE8xyzG4CFWS3cKU8VGpOMfflCEowam4s/kl1z9lD4O/GX4Zf8Fu/jb8QbDxVrHjz4E/tO/tE+JPhDNbeOvF2j6B4G8S6K2peIJvEen+E9H1ex8N6lrevPBp+la3qHiHTNZlfR9J0y10z+zJrdrqT6h8UfGPxR+yDZ/sVf8FHvEGo6j4jsf2hP+Cell8HPjbqeqGadvEPxp8LfBf8A4W/8Ftf13UPnN/4o8f8AiDSr3wYt1dBZ5I7dv3sslzKR/QzB8EfgxbaV8Q9CtvhF8MLfQ/i5qOq6v8V9Gg8A+FItK+J2ra7G0Wt6n8Q9Oj0lbTxpqOsxO8eq3viSHUrnUI3ZLuWZWIMutfBj4PeJPBGg/DPxF8KPhrr/AMOPCv8AYX/CMfD/AFrwL4X1XwR4c/4ReJYPDP8AYPhS+0qfQdH/AOEdgRIdC/s+wt/7IiRY9P8As6KFHPRoulgMLgY1Z0vYYThzBSqUPdcaWD4WzjhPiarh4yaVPE5zgc2hXwtaVpU8XlOUVMc6qwVKNPatVhWxlTFVKUasamJz7ETp1Xd1Fi8y4fznIKFScU70cpzHIpSrU0uWdDNczjhFCpi8ROt/L38ffhR8Pvgb+zp+wB+xz8aNH0mb4g/GWw+MXx6+JsXxt/aLuf2bv2T/APhb/iXQLXWrvxJ+0h4k8M6NP478cS/D7XNYstJ8JeEvh/43+Ht9NdadDaya1drrFpan5g+H9nqfxE/4JxfCL4Xar42srnwnY/8ABaPwj8MPBc/w08UeK73QPA/gzWPDF5K1n8K9d8TXcvjPT/DCan4g1nxJ4Ku9Y1GXXxDqsOs6hcHV7u8lf+yL4mfBf4O/GnT9M0n4x/Cf4afFnStEvn1PRtM+JngTwt480/SNSkga2k1DTLLxTpWq21hfSWzNbvd2scVw0DNE0hjJU5L/ALPHwAkS4jk+BvweeO7+IsHxgu0f4Z+CmS6+LdsHW2+KVwp0QrN8RbdZJBB43kDeJohI4j1NQzZ66MqUcTiatXD0fq+IzbLca8FSivqscDlOf5FmWXYCNKpFQtg8lyh8PU3KNWE8NKnOTw+Gq4nKzmqKrKhhYRr1HicNgcdR+uTbjiJY7M8i4twGY4xVab9oo4zOeJY57UinCcamHlh/9oqU8LjofkT8B/gV8KP2bP8AgsLpPwd+CfhG38DfDjwt/wAE19UfQ/DsGp65rZtZdZ/aWTWtTmn1jxLqes69qNxd6lf3Vw9xqeqXkyiRbeORLaGCGP8AU258JaV8OtX8RR+H7vxPqC+M/EWr+P8AWD468a+Mvii9nrviK5ZdQsPCcvxM17xdJ4C8E24sYf7C+GvgZ/Dvw58LF7xvDPhXSG1C/Nz62Ph74BHjo/FEeB/B4+JjeGv+ELb4iDw1oo8dN4O/tBdX/wCETPi77F/wkB8Nf2qi6n/YR1D+y/7QVb37L9pUSjiviH/yGrX/ALBcH/pXe0vaTlhcFRqzlVq4WjiqdStKTk6rxGb5xmMJJybmlTo5jQw7Unfmw0nG1N0oxcoQ+tYqvTjGnTrxy6MKUUlyPB5VhsBVb5bRftq1GriFyq9qr9o3Uc5Pl/7Yu/8Anjpf/gj0X/5X1/l5/wDBQBzJ+3j+2zIwQNJ+1z+0i7CONIkBb4yeM2ISKJUjjQE/LHGiogwqKqgAf6fFf5gv7fv/ACfd+2t/2dt+0f8A+rj8ZV+h+HH+/Zp/2BYf/wBTJHwXiB/uWW/9hmI/9RInyTRRRX60flwUUUUAf6Kf/BCbUri3/wCCVX7LMMcdgyJ/wu/Bm0rS7mU7v2jfi8x3TXFnLM/LELvkbauEXCKqj9cf7Yu/+eOl/wDgj0X/AOV9fj//AMELP+UV/wCy3/3W7/1ov4u1+tlfznnn/I6zf/sZ47/1JqH79k3/ACKMr/7F2C/9R6Zqf2xd/wDPHS//AAR6L/8AK+j+2Lv/AJ46X/4I9F/+V9ZdFeWekdNpWq3UlzKrRaaANN1h/k0fSIzmPSL6RQWjsVYoWUCSMkpKhaKVXjd0bN/ti7/546X/AOCPRf8A5X0aP/x9zf8AYL1z/wBMuoVl0Aan9sXf/PHS/wDwR6L/APK+j+2Lv/njpf8A4I9F/wDlfWXRQBqf2xd/88dL/wDBHov/AMr60rHVbprbWGMWmgx6bE67dH0hASdX0qPEipYqsqbZGIjlDoHCShRJHG68zWpp/wDx6a5/2C4f/T1o9AB/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAan9sXf/ADx0v/wR6L/8r6P7Yu/+eOl/+CPRf/lfWXRQA3WvHF1oi+FtP/s7TbpvF/jm18MCYafpFumnCHwF8R/GDXrWw0qWO+dz4RXTkic27wjUJLmO52xS2t3rf2xd/wDPHS//AAR6L/8AK+uY1rxJ/YcXhjTPsX2r/hMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/wBn/Z/Mtdv2/wC1+e32X7NcadYU5c1XEx9rz8lSivZ8nL7Dmw0J8nN/y89pf2/Nryc3s+lj0cXR9ngsoq/U/q/1nDY+f1r6x7X+0fY5vXw3t/Y3f1T6pyf2d7Oy9v7L61Z89zU/ti7/AOeOl/8Agj0X/wCV9H9sXf8Azx0v/wAEei//ACvrLorc841P7Yu/+eOl/wDgj0X/AOV9aV9qt0tto7CLTSZNNldt2j6Q4BGr6rHiNXsWWJNsakxxBELl5SpkkkduZrU1D/j00P8A7Bc3/p61igA/ti7/AOeOl/8Agj0X/wCV9H9sXf8Azx0v/wAEei//ACvrLooA1P7Yu/8Anjpf/gj0X/5X0f2xd/8APHS//BHov/yvrLooA6bVdVuo7mJVi00g6bo7/Po+kSHMmkWMjANJYswQMxEcYISJAsUSpGiIub/bF3/zx0v/AMEei/8Ayvo1j/j7h/7Beh/+mXT6y6ANT+2Lv/njpf8A4I9F/wDlfR/bF3/zx0v/AMEei/8AyvrLooA1P7Yu/wDnjpf/AII9F/8AlfWlrGq3Uer6rGsWmlY9SvkUyaPpErkLcyqC8sti8kjkD5pJHZ3OWdmYknma1Nc/5DWsf9hTUP8A0rmoA9G8AXkt3/a3mpap5f2Db9msbKyzv+253/Y7eDzMbRt8zfsy2zbvbPo1eX/Db/mNf9w7/wBv69QoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiuDt/ip8MLvV/Hnh61+I/gO51/4V2djqPxP0O38YeHptX+HGn6pptxrOmX3jzTY9Ra98IWeo6RaXeq2N14hg06C7021uL63eS1hklVOUYqTlKMVCnUqzcpRioUqMVKtVk20o0qMZRlVqycaVKMoyq1KcZKTajJ2tFu86dNWTd6lWfs6VNWTvUq1GqdKmrzq1PcpQqT9w7yiq9peWmoWlrf2F1b31je28F5ZXtpPFc2l3aXMSzW11a3MLPDcW9xC6SwTxO8UsTrJGzKwJ5TXPiN8PfDHibwt4K8S+PPBnh7xl44j1uXwV4S1zxRomk+JvGEXhqx/tPxHL4W0G/vrfVfEEegaaRqGtvpNpdrpViftd8YLf95Tn+7k41P3coucZRn7koypxqzqRlGfJKMqcMPiJ1IuKlThQrzqRhGhWlRUWpx54NTg4qfPBqUeSXJyz5ouUeSXtaXLPm5H7Wlab9pT9p2dFcn4H8feBfid4Z0/xr8NvGnhP4heDdWa9TSvFvgfxHo/izwzqb6bfXOmaimn69oN5f6VetYalZ3en3q213IbW+tbm0nEdxBLGvWU5RlFuMouMlvGScZK6TV1JRaupRauldSi1dSi2k09mnZyi7NO0oylCSdm7OM4ThJOzjKEoyUZRlGJXjfxD/wCQ1a/9guD/ANK72vZK8b+If/Iatf8AsFwf+ld7SGcHX8wv7Rf/AAco/wDClvj98afgv/wxf/wkv/Cmvil46+Ef/CS/8NF/2N/wkf8AwrHxLqXgb/hIf7H/AOFE6r/Y/wDbf9g/2p/ZP9q6p/Zv2v7F/aWoeR9rm/p6r/L3/b//AOT8f22P+zuP2kf/AFcnjOvteCspy/N8Vj6eYYf6xChhaNSlH2talyzniZU5O9GpTbvBJWk2lulfU+Q4wzTHZXhsDUwNf2E62JrU6j9nSqc0I4eM4q1WE0rSbd4pN7N20P6KP+Ipv/qxX/zZ3/8AJ6o/4im/+rFf/Nnf/wAnqv5H6K/Q/wDUzhv/AKF3/l3jf/mg+C/1u4h/6GH/AJa4P/5Qf1wf8RTf/Viv/mzv/wCT1Xrn7P8A/wAHJH/C9Pjx8E/gl/wxl/wi3/C4vi58N/hZ/wAJN/w0T/bf/CO/8LC8ZaN4S/t3+xf+FF6R/a/9kf2v/aH9l/2tpf2/7P8AZP7RsvN+0xfxh19cfsAf8n4/sT/9ncfs3f8Aq5PBlYYvg/h2lhcVUhl/LOnhcTUhL61jHyzp4bEVIOzrtO06cHZpp2s002nvheK8/qYnDU54+8KmJw9Oa+rYRXhUxFCE1dUE1eM5K6aavdNNJr/Uc1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmrLr8OP2UKKKKANTR/+Pub/sF65/6ZdQrLrU0f/j7m/wCwXrn/AKZdQrLoAKKKKACtTT/+PTXP+wXD/wCnrR6y61NP/wCPTXP+wXD/AOnrR6AMuiiigAooooAzNa8Sf2HF4Y0z7F9q/wCEy8eWXhvz/tHkf2d9l8A/Erxf9t8ryJvtnmf8Ir/Z/wBn8y12/b/tfnt9l+zXGnWZrXiT+w4vDGmfYvtX/CZePLLw35/2jyP7O+y+AfiV4v8AtvleRN9s8z/hFf7P+z+Za7ft/wBr89vsv2a406wpy5quJj7Xn5KlFez5OX2HNhoT5Ob/AJee0v7fm15Ob2fSx6OLo+zwWUVfqf1f6zhsfP619Y9r/aPsc3r4b2/sbv6p9U5P7O9nZe39l9as+e4UUUVuecFamof8emh/9gub/wBPWsVl1qah/wAemh/9gub/ANPWsUAZdFFFABRRRQBqax/x9w/9gvQ//TLp9Zdamsf8fcP/AGC9D/8ATLp9ZdABRRRQAVqa5/yGtY/7Cmof+lc1Zdamuf8AIa1j/sKah/6VzUAd58Nv+Y1/3Dv/AG/r1CvL/ht/zGv+4d/7f16hQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfynf8FCPEHxD8Z2//BbXwtpPiTwf4N8PfDCT9ibVtUXRfg78MIPFHxB8L6zoNyNT8I+LfiDpvh7R/HOuH+3rnQ9Z0fxB4p17xTqPhm00OXw74dj03R9a1CE/1Y18HeNf+Cd3wI+IGpftl6j4o1T4iXw/bi0D4e6D8VrFNb8PwWXhtfhhos+j+EtV+HAj8KC60jVbSSWHWJ5PE134usbjVrK1Y2Cad9p0644sZQqV44hQUXz5TmeHpRlJKMsbWxXDNfBqaaa9m1lePjOU+alHmpxq0qsasVT7MJXp0XBzumsyyevKUY3ccLhsTmLxzi07qoqGLpOmo2qylF+xqUqsIzf5UfH79oD9sT4EeCP2f/gR4Q/bYvNd+KOi/s4n4ta9Y/Ar9iey+O37TvxNTVvE723hrT7z4Q/2UnwN+Gnwj+HfgWa0tL/x/qvxO0Txlr154dv9Sbw1rDahDCeJ+GH7RXxD/aj+LH/BEP46/FKDTR8QvE/gz9vS08R3djpkFjp+uX/g7wJr3hCLxGdHEC6dayeI7bQLfWdQsLK2j0Vb29uo9Ns7XSzbWUH6Gwf8EbvgPDqngbXX/aF/bZk1/wAK+Cm+F/irxDD+0RdaV4g+MvwpHiKbXbb4XfFjXdC8L6Vq2p+BrCznfwpY6R4SvPBskHhSKx043T3Wk6RqFh6n8LP+CYPwH+EZ/ZWHh7xr8ZdTT9j+H442vwsj8Q+IvBd6uoWfx8g1S38WWnjF7L4f6bNqcGjJq90fCY0iXQJLAiFdVk1qKPy29HGz+s1M2rpuVbGZjmuPwspq88PLF4bxEwVGMKsueSUsFxFw1RrudlPE4TM8RLDRjGnXzHzaFN0cNhMOkoqhlMcur8jcYYj/AGLhvnc6S5acV/amV5piKShH9xg8Rl1CFVezxGGwv5H/AAw/a/8Ajdof/BO/9iPS/hr8bfh98BviT8YfEn7SVzc6X8G/2TtG+J3xr8bw/D3x/wCN20Lwf+zz+y38LPhxo3wVuL3xDfrBaeMtf8Z3nwz0q1kli1weJLvWLvWpJqOnf8FJf26fEH7CXgbxrpfjmLQPj1p3/BSjSP2TLrxt8Qvg/wCEfCt/448GXug6jrMVh8VPhhb6brWi+Btah1a/sdC8YWHgCay1nRYdBfT9O15tYXUNW1H9Op/+CPP7PFv8N/gB4C8I/Fz9qP4Za7+zY/xIj+HHxi+F/wAVdF8EfGFdI+KviHVvEvi7w9q/ibR/AsWkS6Rc6hrN1FbHSfDej6pFp4NhLqdxb3eprf7umf8ABJH9mvRfhrbfCXSPGHxytPBOnftZ6V+2LpFlceNvD2t6jpXxH0ew/s228NQ654i8E6xrOoeBJrcI99Brt9q3jO+u0N5c+NpLqe6ln1U6NTH4qtW53hsRnOT4hwXO5RwGAz/hWtifYvmlVp/WOHsLn+FrYbmpxqYiUKEaVWniaeNV1lLkiqChz06eeODaUVOpmOX8drDxrw0p1HSzbM+F69Kt786NDDur7WlicFOlV82/ZY+MH7X/AMP/APgoh8T/ANir9pT49eHv2lfD037N2l/tB+DfHVn8I/Cfwd1PwrcHxvp/hS58LQaD4Pa6gvNNuDqt6Zp9c1jX9QZNJ0W7tb+we51axn/QS5tPGWn6v4iHxM17wx4ukvPEWr3/AIGfwL4S1X4dJ4d+HNxct/wjPhXxZH4g8a/FFvGfjbSGS/Ou+P8AR5fAWheIhc2a6f8ADXwsbGZtQz7b9lP4eWv7W+o/tmx6z4zb4oan8E4fgNcaC+o6GfASeEIPFNt4uTUodLXw6viFfEh1K1jga8fxTJpZsWeIaOJytyvbfEP/AJDVr/2C4P8A0rvawUr4TL4TUfrNHC1aOLlGKipzhmecSwrco2VWUcqqZTSnWa9pOdGSrTrV4Va9ZyjbGY6dNyeGq1cJVwynJuUZPLMBHH+60vZQnmlPHVadKKjSjGpehToUJwoU+X87Rf8AoH6p/wCDi0/+Udf5cv8AwUDKH9vT9tsxK6Rn9rv9pMxpI4kdUPxl8abFeRY4lkdVwGdYowxBYRoDtH+oNX+Xv+3/AP8AJ+P7bH/Z3H7SP/q5PGdfonhx/v2af9gWH/8AUyR8F4gf7llv/YZiP/USJ8j0UUV+tH5cFfXX/BPwoP29P2JDKrvGP2u/2bDIkbiN2QfGXwZvVJGjlWN2XIV2ikCkhjG4G0/ItfXH7AH/ACfj+xP/ANncfs3f+rk8GVy47/ccd/2BY3/1DxZ04L/fcH/2GYT/ANS8Kf6l2sS6QNX1US2OpPINSvhI8eq2saM4uZd7JG2jytGjNkqjSyFQQpkcjcc3ztF/6B+qf+Di0/8AlHRrn/Ia1j/sKah/6VzVl1/NJ/Q5qedov/QP1T/wcWn/AMo6PO0X/oH6p/4OLT/5R1l0UAdNpUukG5l8ux1JW/s3WCS+q2sgKDSL4yqFXR4yHeMOkb7iI3ZZGjlVTE+b52i/9A/VP/Bxaf8Ayjo0f/j7m/7Beuf+mXUKy6ANTztF/wCgfqn/AIOLT/5R0edov/QP1T/wcWn/AMo6y6KANTztF/6B+qf+Di0/+UdaVjLpBttY2WOpKo02IyhtVtWLp/a+lALGw0dBG4kMbl2WUFFePyw0iyx8zWpp/wDx6a5/2C4f/T1o9AB52i/9A/VP/Bxaf/KOjztF/wCgfqn/AIOLT/5R1l0UAannaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdZdFADda8U6Roa+FtMGi6lcx+MfHNr4aeQ67awvp723gL4j+L479R/YEq3KFfCkumvaEQEnUo71btRYtaXut52i/8AQP1T/wAHFp/8o65jWvEn9hxeGNM+xfav+Ey8eWXhvz/tHkf2d9l8A/Erxf8AbfK8ib7Z5n/CK/2f9n8y12/b/tfnt9l+zXGnWFOXNVxMfa8/JUor2fJy+w5sNCfJzf8ALz2l/b82vJzez6WPRxdH2eCyir9T+r/WcNj5/WvrHtf7R9jm9fDe39jd/VPqnJ/Z3s7L2/svrVnz3NTztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6y6K3PONTztF/6B+qf+Di0/+UdaV9LpAttH32OpMp02UxBdVtVKJ/a+qgrIx0dxI5kEjh1WIBGSPyy0bSyczWpqH/Hpof8A2C5v/T1rFAB52i/9A/VP/Bxaf/KOjztF/wCgfqn/AIOLT/5R1l0UAannaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdZdFAHTarLpAuYvMsdSZv7N0cgpqtrGAh0ixMSlW0eQl0jKJI+4CR1aRY4lYRJm+dov/QP1T/wcWn/AMo6NY/4+4f+wXof/pl0+sugDU87Rf8AoH6p/wCDi0/+UdHnaL/0D9U/8HFp/wDKOsuigDU87Rf+gfqn/g4tP/lHWlrEukDV9VEtjqTyDUr4SPHqtrGjOLmXeyRto8rRozZKo0shUEKZHI3Hma1Nc/5DWsf9hTUP/SuagD0bwA9k/wDa32O3uoMfYPM+03kV3vz9t2bPKsbLy9uG3bvM35XGzad/o1eX/Db/AJjX/cO/9v69QoAKK4X4hfErwT8K9H0rX/Hutf2DpGueNfAfw80u7/s7VtU+1eMfib4x0XwD4H0fyNGsNRuYP7b8W+IdH0n+0LiGHS9N+2fb9XvbDTLe6vIO6oWsXJaxVSVJyWqVSNOlVlTb2U40q9GpKPxKFWlJrlnFsejSejlD2kU9G4c8qXOl1j7SE6fMtOeEo35otIorivCvxF8GeN9Z+IXh/wALa5Fq+r/Crxhb+AfH1pFaahAPD/i668GeEviDDoz3N5aW9pqMp8I+OvCuqyXOkz39jA2qHTZ7qPVbHUrGz7WjpF9Jwp1IPpOnVhGpSqRe0oVKco1ISV4zhKMotxabNnJPeMnCS6xlG3NGS3UouSUouzTaTSbsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV438Q/wDkNWv/AGC4P/Su9r2SvG/iH/yGrX/sFwf+ld7QBwdfy6ftH6t/wbJx/tA/GyP43XG342x/FXx4nxpXyv8AgoCcfGFPE2pL8URnwjEfCRx47GvjPhMnwuf+ZdJ0b7FX9Rdf5WP/AAUN/wCT/v25P+zwv2mf/V0+Nq+u4RwUsbicbCONx+B9nhqMnPAYh4edTmxEo8lSSjLmhH4ox0tO7PluKcXHCYfBylg8FjOfEVYqOOoKvCnagpc1OLlHlm/hk9bx0P6u/gH8HP8Ag2e/af8Ai14T+BnwM8Of8Jx8U/HH9u/8Iv4X/tf9vzw1/an/AAjXhrWfGGt/8Tvxhqnh/wAO2X2Lw74f1fUf+Jjq9p9p+yfZLT7RfXFrazfpH/w4n/4JV/8ARrP/AJm/9o3/AOe9X8cf/BA7/lLP+yh/3XX/ANZq+Mdf6RlbcR1syyfHUsNhs6zidOeFhXbr5hWlNTlVrQaTg6a5bU00mm7t67JZZBRy/NcHUxGIyjKYThiZ0UqOBoxjyxp0pptTU3zXm7u6VktO/wCR/wDw4n/4JV/9Gs/+Zv8A2jf/AJ71dd8P/wDgjF/wTV+FvjzwT8TfAn7N39heOPh14u8N+O/But/8Lh+Pep/2P4r8I6zZeIPD2q/2brHxS1DSNQ/s/V9Ps7v7Dqthfabd+T9nvrO5tZJYX/UKivnpZ1nEoyjLNcxlGUZRlGWNxLjKMouMoyTqWcZRlKMk9GpNPRs92OUZTGUZRyzL4yjJSjKODw6lGUWpRkmqd04yjGSa1TSa1SNTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasuvMPRCiiigDU0f/j7m/7Beuf+mXUKy61NH/4+5v8AsF65/wCmXUKy6ACiiigArU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooAKKKKAMzWvEn9hxeGNM+xfav8AhMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xp1ma14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/ALb5XkTfbPM/4RX+z/s/mWu37f8Aa/Pb7L9muNOsKcuariY+15+SpRXs+Tl9hzYaE+Tm/wCXntL+35teTm9n0seji6Ps8FlFX6n9X+s4bHz+tfWPa/2j7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuFFFFbnnBWpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFAGXRRRQAUUUUAamsf8fcP/YL0P/0y6fWXWprH/H3D/wBgvQ//AEy6fWXQAUUUUAFamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1AHefDb/mNf9w7/wBv69Qry/4bf8xr/uHf+39eoUAfnt/wU9+CXjz9oL9lK4+Hfw9+F/8AwunVE+OX7L3jfxB8Kv8AhJvC/hH/AIT74dfDX9oz4Y/ED4oeFf7b8Z634d8NRf258PfDfiXTfsWraxZ2mrfaf7Lmcx3jKfxV+Ov/AATT/aG+Ivw1+F2m2n7MPxa0H4Bab4q/a/1b4a/sO/B7xN/wTXn8Qfsxav8AFXxf4N1b4C61qNt+1d4M+P37Mnw00Xw3p2hfEua58Zfsk+IfEXxf/Z3m+K9vo3wTtvGugXPi/TrX9zv+CgHxk+InwQ+DfhrxX8M/Ef8AwjGvah8TNG8PXd//AGRoWtedpF34W8Z6lPZ/ZfEGl6tZR+ZeaTYTfaIrZLpPs/lpOsUs0cn5A/8ADwn9rb/orw/8IL4Z/wDzF1+wcCeBHE/HeRPiXKMyyDDYLGZriqTo5jjcwwuKVfLaWDy+vJrA5dWTXs1RqZbip4ipi8oxTxGPyqWBxeIrSq/jnHvjtwrwLnkeGc5y7PcRjcFlcKsa2XYHLcThZYfOp1cdCMpYzMKEqjUqE6eNwsqEcJmOElDL8xjjMFCnClQ+OH/BOr4q3bfH3wHp/wCxZqHxB8KfGD9sX4WfFL4o/E3wXafsG+PfiB8ZfBVj+xhpPhOx8YjSv2qfEug/BP4la14E/ad0XxFd/FK6/aq/Zq8XPbx/E7X/AIu/s+/CjUvireWXjr4e/tV/wTx8AfFv4UfsKfsi/C3486Re6D8Y/hr+z38LPAHxG0bUNd8OeJrvTPFHg3wlpnh3ULOXxD4RvtR8N60IW01Vi1LSLya1u4RHMBFI8kMf5+/sd/tj/tEfFX9o34deAvHXxGGveFde/wCEu/tXSf8AhEfA2l/a/wCy/AvifWbH/TtH8MadqUHkajp1nc/6NeQ+b5PkzeZBJLE/7lV89x5wTnfhzmT4fzrEZTi8RmuCyrOHUymVaWGp08HPM8uwkIRqYTAwo1IUvrOHdKlho0aWDdKhQVODnE+n4C45yTxGyn+3ckw2Z4TC5Xj8blPs80p4eGKnWngsrrYmcqlLE42pWpVUsLiJTq4uc6uOjPEVE5wpSCiiivgD7wKKKKACiiigD5U/bb/ab/4Y4/Zh+J/7R/8AwhH/AAsb/hXEHheb/hDf+El/4RD+2f8AhJPGnh3wht/4SL+wPFH9nfYv7f8A7Rz/AGHffaPsn2TEHn/aYfkX4Of8FMPHviz9pL4R/AT46/se+Nv2btJ/aK8A+JviD8AvHfiL4oeDvHF14w0rwz4f/wCEtvIfF/hDwvpiN8ObseG4L26u9P1XxHqWt6TqB0vT9U0a1j1Q31n9H/8ABRL9m/xx+1x+x18Yv2e/hvqvhTRPGnxCt/B0Oi6n43vtX03wxat4e+IPhTxXenVL3QdC8S6rCsunaFdw2ptNFvS97JbRyiCB5bmHyL4l/sWfEXx1+1R+wD8aY9Y8BHwJ+y58Nviz4I+J+j3+p+II/EWv3HxA+GEPgexbwZZweF7jS9SsI79JZdSk13WPDk8WnsJba2u7gm1GVB1ufFuShNvGww+Ep4hunQjhqnB/E2JeJlUpWqqNPijCcO4WVSTmoLG1qboVadX2mGvEez+qw9m5RrRwWPxE5UVGpWniqGecNU8HhVTrNUX9YyjE8QVVBODqrCxbxGHlSi6vzy//AAWJ186NqH7QVt+xh8S7j/gn7pfxCbwHd/ten4ieFLfWGto9ag8HzeN7P9n2fSV8a3vgtPG9wmjjV4NebFiszzRQeLLW78E2/qPiz/go18a9T/at+Lv7K/7OP7Gn/C/9S+Emj/DDxZq3xDk/aE8N/DXwf/whXxG8GaX4pHiHURrHw/1y9guLK61zTNN0fQPDKeMtX8T2KavrVvDpy6X/AGfd/LUX/BL79tyy+DOqf8E/NO+O/wCz7F/wT61Px9cawPGMnhrxvH+1rYfDq98YRfEu7+H9tYWtlD8J5pJPGCz2EniC7v5L6ezu7nWQtvpxt/AFr+hP7O/7Iniv4JftjftZfHQ33g5fhX8aPBP7Ovg74Z+HdH1HW7nxXoFp8Gfh/F4N1CHxPZX2gWWk2dvK8EP9jSaXr+uS3NonmXyWE/7itqcIVLRVarTorDY+WFrYinCONrVY8OZXOh/a2Hgnh6FaHE1bHQwtDCTjDFYTD4ihOrHCxwmOrzWk4TxLhTpzn7alH2dKVSWEhRlxXVo0p4CtPkr1pz4VjCvj5YmD+rYidGrGlHFzxGDofNY/4LCeF28G/sM+LY/gdrlw37XXivV/DfjzTrTxot0P2dLXw78TPC3wi17XPE95F4NI8RWdl468W6XpkC3tt4IW5WWCOW4tNSvrHTJ9L4p/8FdPC3wu0L9oTxFefB86jpXwx/aZsP2Svg9fz/Fbwz4Y0n40fFyPRJ9V8XyeIvE3irRdJ8JfBrwJ4JniW21rxprPiDxVYwW0hv72304QXFrF4xP/AMElPio3iD9ukx+P/AL+EPiv4W8Z2v7HWnya14ut774R+KPHvxXsPj/rVz4xit/CZg0ixsvi14d8Iz6ffeHbvxhqE+i6HBJPbQzxiwk2PGX/AASa8eeKv2Hfgt8JLjxh8Ktd/ah+E/xs1j9pbWdd8f6Xq/jb4F/FH4peMfFGua7448M+O9L1XQm1bVvAmu2OsWukTXt14SudSubbRIFuNHX+075kyU5VcOq86csNOosuxFXD0uatVwtPOMdlFPG4ShF808RW4XwuUZ3UU1KVTF0+IsLUqQxVeGHoZfUoxp13Rpz9vCEsfQp1qrhThXnlmEzfEYLFYiaUKdOnn9fNciwUo04Qo0KvD2MlF4WlXxNTE9/8Mf8Agst8JvEXwH/aX+K3xQ8B2fgXxp+y7a+Fb/xj8Ofhv8ZPhv8AtD6H4os/iLcQ6b8O5PAPxc+G11/whPiWTWNduItC8SR2+1PBGosYdZld45kjn8B/8FOPjPrnxu/Zy/Z7+N/7DfjP9nnxF+0v4Q+JPjPQ/EGp/G7wn4u07TfCXhP4f6j4z0e/0WXw14RN7eeJdQOm3OneJvCvii18Ca94Ae70K/urTXDqZs7XwDx1/wAE97/w1+w/+2k37WWpfsv/AAXvPiRp3hPXrT/hib9lJbP4dfBLQ/hbrFj4j0fVJU8CfC62+PnxL0bUNetxrPjxvFv/AAkdt4F8PJrGqaNe6bpkGpX9v8gfstfHH4wfty/t9fsS6tqHxg+FHx/m/Z1+Gfx7svHut/Ab4XfHXwV8O/Amj+IvhfdeDPDvivxx4i+NnhHwhrWs+PfiR4hure31WLRPDGieEtPXS9Oh8O2Jur3VIY3Vj9ani8JRgquJ/s6HtMNSlzYeFOfBfGmLq1qdSlNVaeOlxBhcipV6VatTwVKi7YfFcmIqSpZtuhhlipylCkq2YxoV6keWvPF0864So4Cg6dSPs6mGll+LzyrRcaTxVSp7FVcPJUac6/3t+z1+3b4/8Bf8E9f2d/if8NfgL+0H+0v4h8f6r8cJ7/UPjb+0NoWo2XgHwn8N/HPjW48TeLPj5+2D408AeDPAPhDSbawsRb+B4vFnhnw/b3en20fhe01G4uNE+23+qP8AgtNok/7JfhL9pbSv2dda8ReIb79rCz/ZN8a/Cbwv8UtA8TSaT4qudK1LXhrfw6+IOheGb/w38WbS90eHR28PRafa+HNM8Q6lqz2tr4gh061tdZ1P58l/4JFftWaN8C/2HfCOla9+yP8AFHxT+yxqnx3ufFnwe+P0fxS8W/szeMpviv408Q+ItC8Utp2h+GNJ1vxLrvhzTNUtbR9I8ReG9P0sXyedFf3NnZzWus9N4c/4JHftEeG/2fNK+CsfjD9niS+0H/gpX4f/AGw7TWfDtv4t8C+HL74WaXow0250K28H6d4I1i28J+LY5Y400LwXpt9q3hHR9IFvpUXjRo7CKW47X7OtmGK9pU5MNVznJ6dKp7qdDL6efcKYPMqkH7ONOeHr5BiM8x0p+ynUpywVbmnHGUY4acVb06cXRhzzhDPakoqT5cROvgePcXl6lq6tKtSzWjwthqSjKEJxxdGoqMsJiK3sPvf9l79vbx/8YP2lviJ+yd8ff2WvEP7L3xi8I/DbT/i/4d0i8+KPhT4u6Z4s+Ht3rlroM2pz694N0rT9F0XUob3VNJWHTLO/8RwyudatbnUbC90b7NffT1zr2q+LtX8RP4g8FeJ/hc3h3xFq/hXR4vHV34N1B/HuhaRcsdP+JXhM/DPxb8RY7PwT4pNzMuhWHjmTwZ8Rrc6fef8ACTeAPDqvYNfeE6f+yn8Q7X/gplrv7Zsms+DG+F+p/sl2vwGt9BTUdcPj1PF8HxEsPFz6lNpbeHV8PL4bOm2skC3ieKZNUN8yRHRxAWuV+nPiH/yGrX/sFwf+ld7XOnGWEy+bioYmWFqrGQTk2q9HM84w9Gc1JtRqYjLsPleKqqD9nKpiJVYQoKq8PQqSlHGY6EZOeGVXCTwtTliouNfLMBiMVShy6ulhsxqY3DUlPmqQhTVKdXEOmsRU5f8As+0/6Dml/wDfnWv/AJT1/lP/APBRFQn/AAUB/bnRZElVf2xf2m1WWMOEkC/GrxsBIglSOQI4G5RJHG4BG9FbKj/VMr/Kx/4KG/8AJ/37cn/Z4X7TP/q6fG1fdcB/75mP/YJQ/wDUqR8Zxr/uuA/7Cq3/AKjRPsf/AIIDxpL/AMFa/wBk6OSeK2Rv+F7ZmmE7RJj9mn4yMNwt4biY7iAi7IX+ZgW2puZf9Jv+z7T/AKDml/8AfnWv/lPX+a//AMEDv+Us/wCyh/3XX/1mr4x1/pGVzcc/8jbD/wDYvpf+pGJOjg3/AJFlf/sOqf8ApjDmp/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T1l0V8YfWnTaxY2r6vqrtrGmxM2pXzNFJFq5eMtcykxuYtKkjLoTtYxySISDsdlwxzf7PtP+g5pf/fnWv8A5T0a5/yGtY/7Cmof+lc1ZdAGp/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T1l0UAdNpVjarcyldY02QnTdYXakWrggPpF8jSHzNKjXZErGWQBi5RGESSSFI2zf7PtP+g5pf8A351r/wCU9Gj/APH3N/2C9c/9MuoVl0Aan9n2n/Qc0v8A7861/wDKej+z7T/oOaX/AN+da/8AlPWXRQBqf2faf9BzS/8AvzrX/wAp60rGxtVttYA1jTXD6bErMsWrgRAavpT+ZJv0pWKFlWICJZH3yISgjEkkfM1qaf8A8emuf9guH/09aPQAf2faf9BzS/8AvzrX/wAp6P7PtP8AoOaX/wB+da/+U9ZdFAGp/Z9p/wBBzS/+/Otf/Kej+z7T/oOaX/351r/5T1l0UAR65rFvoP8AwiekC4sL5PG3jy28NvepJqkEWjfYvh/8SvGC3s0MmjPNe/aT4V/syO3gWPY18byWdUtRBc7H9n2n/Qc0v/vzrX/ynrmNa8Sf2HF4Y0z7F9q/4TLx5ZeG/P8AtHkf2d9l8A/Erxf9t8ryJvtnmf8ACK/2f9n8y12/b/tfnt9l+zXGnWFOXNVxMfa8/JUor2fJy+w5sNCfJzf8vPaX9vza8nN7PpY9HF0fZ4LKKv1P6v8AWcNj5/WvrHtf7R9jm9fDe39jd/VPqnJ/Z3s7L2/svrVnz3NT+z7T/oOaX/351r/5T0f2faf9BzS/+/Otf/KesuitzzjU/s+0/wCg5pf/AH51r/5T1pX1jatbaODrGmoE02VVZotXIlB1fVX8yPZpTMEDM0REqxvvjchDGY5JOZrU1D/j00P/ALBc3/p61igA/s+0/wCg5pf/AH51r/5T0f2faf8AQc0v/vzrX/ynrLooA1P7PtP+g5pf/fnWv/lPR/Z9p/0HNL/7861/8p6y6KAOm1WxtWuYi2sabGRpujrteLVySE0ixRZB5elSLslVRLGCwcI6iVI5A8a5v9n2n/Qc0v8A7861/wDKejWP+PuH/sF6H/6ZdPrLoA1P7PtP+g5pf/fnWv8A5T0f2faf9BzS/wDvzrX/AMp6y6KANT+z7T/oOaX/AN+da/8AlPWlrFjavq+qu2sabEzalfM0UkWrl4y1zKTG5i0qSMuhO1jHJIhIOx2XDHma1Nc/5DWsf9hTUP8A0rmoA9G8AW8UH9reVfWt7v8AsG77Ml6nl7ftuN/2yztM78nb5fmY2Nv2ZXd6NXl/w2/5jX/cO/8Ab+vUKAPze/4Kh6RpGtfAHwha6z498K/Du1j+MOgXEeteL7Txve6bdXCeC/iBGmlwReAvBvjfWFvp45ZbuKS50m300W9lcrNqMV09nbXf81f9tn/nqfzH+Nf0C/8ABZu6Fn+y/wCA5T0b49+F4/z+HvxSb/2Wv5mv7cT1P51/eX0d8RUoeHNC9dypyzvPeShKnSUaMlisJ7ScasEq1R1m4uUa0pQp+zSoqKlO/wDBn0icPCv4j1+XDqNSOR5Fz11OtKVZPC4zkhKnJuhTVFKSjKjGM6ntG6zk407frR/wTYstI1H9qD4X67N4+8K2OsWd94/tLTwBeWnjaTxZrlufhb4o3appd5YeDr3wLFYwrd3MsketeNNI1MppGoiLTpZJdJj1T9av2t/2jPjf8IvF2/4Up8Lf+EL+EXw30342/HPSviH4O8ba74k+IPgfVviDbeDofBfwl8V+HfHPhHw/8OvF1ppOkeNdeuPFPirw78VbBr+HwloU/grT7LW7vxLp/wCEX/BMXVVuf24/gjACcv8A8LK/8d+EPj9//Za/pf8Ai/8Asu/BH48eKvh74z+KPhfWNe1z4ZXy3vh1dN+IPxI8H6FqkKa74f8AFEWhfEXwn4K8XeHfCvxf8H2/ibwp4c8R2vgf4s6L418G2uv6PZazbaFFqMZuW/DfpISq1PELIq1SvKtQhk+WVq1OVOlBQwUM0zJ1cLGNKKeKhaNd8uInCrVlio89aMcHSjL9v+jjTjDw7z2hRoRw+JnnOZUaFVVK0nLGSyvLOTFTdVzWHm1KlC+HhKlRWHc4UZTxFVrnf2iPjB8VPhZ4x/Zs0rwN4K8F694M+Kfxu0X4b/FPxX4p8T6rp2reDdD1vTNRm0j/AIQfwppWjXaeK/EetapaeRNca14g8NaL4a0izvtRdfEWoTWGiTeKfsm/tD/tHfEv43fHjwP+0N4I/wCFWaFaa9441T9m3wpqnwa0zwF4l8XfB/wP8UNe8BS/ES88aWH7XHxy1rxdaarYzeANSWLx5+z7+yfq0U/icz+F/Dfj7w+J9c0r7H1H4T+B9ZtPD1lrdjrGuQ+E/iLL8VvD0mueMPGOs3ml+N31fW9bgv4NR1PX7vUH0nTLvxBqdtoXhKe5l8IeHtFNh4c0LQtO8PaNo+l2HIfCj9mv4P8AwT8R+NfFXw60PxFpuq+O7ya61KHXfiT8TfHWgeHLa51G61i78P8Awu8J+PPGHibwr8F/Bd7q95Nq194D+EGjeB/Bd7qa2uoXegTXdjZTW/8APuFTpVazxD9tTnHMfZ3bcqTxOGyT6rCMEqcFLC4vC5jClVnzwpYSvipuFbGZlQnlf9B4i84wVC0Gnlqm7cvMsNi83qYuafvtfWsLisBCrTjadaphsNBSw9DB4j+0PdqKKKoYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV438Q/8AkNWv/YLg/wDSu9r2SvG/iH/yGrX/ALBcH/pXe0AcHX8sX7SX/Bsf/wALv/aE+N/xu/4bb/4Rj/hdXxX8ffGH/hGP+GbP7a/4Rr/haXifU/Hn/CO/21/wvzSf7Z/sL+3/AOyv7X/snSv7T+yfbv7M0/z/ALHD/U7X+VV/wUP/AOT/AP8Abl/7PD/aZ/8AV1eNq+t4Sw+OxGJxscDmH9nzjh6Uqk/qtLFe1g8Q1GHLVaUOWXv8y1d+V6HzHFFfB0MPhHjMD9ejKvVVOH1iphvZyVBNz5qabnzR93lei3Wp/Yf+wN/wb4f8MPftZ/Cj9qL/AIa5/wCFn/8ACsP+E6/4ob/hQf8AwhX9uf8ACa/DXxl8PP8AkZv+F0+Lf7M/sz/hLf7Y/wCRf1D7Z/Z/9n/6J9r+2239I1fwYf8ABrl/yf8A/F//ALM8+IH/AKur9n2v7z65OKIYylmnscbjPr1WnhcPy1/YU8N+7qe1qKHs6Tcfdlze823Lm6JJHTw5PC1Mu9rhMJ9Tp1MRX5qPt6mI9+n7Om5+0qWl70eX3Ukly9W2wooor50941Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qy6ACiiigDU0f/j7m/7Beuf+mXUKy61NH/4+5v8AsF65/wCmXUKy6ACiiigArU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooAKKKKAMzWvEn9hxeGNM+xfav8AhMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xp1ma14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/ALb5XkTfbPM/4RX+z/s/mWu37f8Aa/Pb7L9muNOsKcuariY+15+SpRXs+Tl9hzYaE+Tm/wCXntL+35teTm9n0seji6Ps8FlFX6n9X+s4bHz+tfWPa/2j7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuFFFFbnnBWpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFAGXRRRQAUUUUAamsf8fcP/YL0P/0y6fWXWprH/H3D/wBgvQ//AEy6fWXQAUUUUAFamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1AHefDb/mNf9w7/wBv69Qry/4bf8xr/uHf+39eoUAfjZ/wXCuvsn7KHw+kzt3ftDeE0zz3+G3xabt/u1/LB/bR/wCen/oX+Nf1a/8ABan4dfEr4nfss+AdB+Fvw+8c/EnxBafH/wALaveaH8P/AAnr/jHWbTRrf4dfFWyuNWudM8O2Go3sGmQXuoafZzX8sCWsV1f2Vu8qzXUCP/Hb/bA/56H/AL6H+Nf2b4GZjTpcB0cNGrTlVpZvnM6lKNSnKrTjWxOFdOVSmqjq041VCbpyqU6caihN05VFGTj/ABn455fUq8eVsTKjVVKrlGTQp1XTqRpVJUcNilUjTquEadSVJzgqkadScqbnBVIwcoqX61f8Ep9TNx+3x8Bod+d//C0eOf4fgx8RH7/7tf2S1/GZ/wAEevAfxJ1z9tL4LfE3S/h/451P4Y+HdT+Kei+IviLYeFNevPAeg6zL8FPGkcGk614ut7CXw/pepzS67oUUVhfahBdSSa1pKJEW1GzE39RPx9/a08K/s+eKfCXh3Xfhx8V/G2navZReIfiB40+HumeCb/wp8CvAVx4o0Twba/Eb4rf8JR488JeJZfC1zr+t+Stp8MPDfxL8YQ6bovibxDd+Fbbw74e1TVbf8g8e8ZSxnGuVwp1aVSrLJcFgVCnUpzlHFzzDMZRw9T2c5qjVtVpNxxDw7gq1Bz5FXoOt+u+A2FqYHgrNKlalUo0Y51jcc6lWnUpxeFjl+XReIg504+1pc1KpGM6KrqcqVWNP2kqNaNL6qorwv4tftD+APgx4v+CngXxXaeNL7xH8e/H6/DvwPF4W8F6/4i0mw1RdPm1G51fxx4msrT/hGvAnhy2jjhtIdS8Uavp0utavfWOieG7PWtXuBZLxPwQ/a08K/HD4geMfh9Y/Dj4r+ALjQ9Ov/E3gPxL8Q9M8E2vhf45/D7SvF+qeBdU+JHwpuPCHjzxlrKeF7DxNp1vaTWHxM0T4beNZdP1/wx4htPCNz4b8Qabq834fTlGtKUaTU3GWJg+XbnwUMPUxVNNqMZVKFPFUZzpxlKfK6rhGosNjPqf7dUapKLqe4p/V3Hm6rFzxFPDy05ny1amFrwjN2jGcYRqSpOvhVivqqiiiqGFFFFABRRRQAV8D/G//AIKgfsKfs4+PPGHww+NHx70/wT4/8B3Hhe28T+FpvAvxR1vU7N/GOg/8JNoMtivhrwRrMOu2k2itDd6hfaBNqdloMl5p9jr1xpl/qNja3H3xX81urfHO++AX/BWj/gpD4pg/ZP8Ai9+1DZa38I/gF4Tvbf4G+DtN+Ifjjw3Nq3wu8Jy2Wi6t4PuL211Sb4e+NzZXEXi3XtKg1aPRLrw9oMWoaNqCapaiHlq1qkcRGjBRd8sz/GxhyVJzrV8qy6hjMJhabp39n9br1VhpVJRkoe0pyTjLlcuinTjKhiKzUpOlXymkkqlKmlDH5rDAV6knVtGXsKE5YiMFJOUqUk+aCqKP7TeP/wBuL9k34X/Ajwv+0x42+OPg/Svgj42j0xvBvjW1Ora7/wAJXNqzMlvp/hzw34e03VfFutaxaGK7Ot6Jp2g3GseHE0zWJPEFjpkei6s1nzWh/wDBQ/8AYz8Tfs8eK/2qvD/xx0XWPgV4F1C00rxp4v0/w744udT8K6lqGuaf4d0+x1/wFH4YPxF0q5v9T1XTfsUV54Sha7029t9ctxJoki6jX4Y/Dz9kP9pb9lL4Q/8ABMf4/wDi/wDZ68Z/GWy/Zq+IX7QHjb4tfs3/AAz0uz8afE34fad+0DqUMngPV/Bvgu6e5l8U+I/h9Kum63qml6fe22peH9et9P8AOm0y307XPFui0fjv8CP2h/2gfg3/AMFWf2oPDf7NHxs+F2hftSWn7M/hn4Ufs7+IPAOo2/x18b3vwq+IXgiDxd8RvFfwn8OLresaJqBFhqt3YRqk9zfaTea5rsrXOnJDruqdmJTp1MZClFOVKvi6fJOcZf2ZOhjOE6GEw2Nq07wzGeZrO83pUsVlqdCjLJ54mKnQw+ZeyywsYVamXwqVFKnXqYCDxEITpQzKnisVxJQxdfCUq1quWxwGEyjKs0nTzFKcqGcU8NU5as8E6v3X8ZP+C7X7Hng74jfBLwv8NviHo/jbwL4q8f8AiHRPjT8S7jwV8ZYtK+HXhTw5p8iLfeFbOP4f2sfxDu9f8QTW2n2uqeEtR1/T9Jtbd76fTtTtNUs7u2/SDTP20P2adZ8H/tAePdN+JP2nwn+y3rvibw18dtV/4Q7x9D/wgut+DrWS98R2X2GfwtFqXif+zraJ5PtPg6z8Q2l5t2WE91IQh/Oz9vXwv8QPhj4s/wCCXvxo8BfAH4vfFvwR+zP4z1u18ceAfgT4CvvG3j3w9omtfC7R/D+jpp/g6yNtJHZWA0i7tXmvrjTdLsri3s9NvL+zuL+yEnwb41T9o34PeHv+Ctf7Olp+xP8AtYfErWf2xPiD8Ufih8IviB4B+GE+s/C+Pwt8SPDN9qt5H4o8WwXssFl4j0HRJT9j8J6FB4j8R+IfFUf/AAhI03SdentI7jGvP2FHNaVJSr4jCYriulg601Z4rEZXieEKeV0HSh+7hh8ZlmMz7NKEadaUeXC4mmsxxVahKnKcIliXlVet/s9HGYHhnEYqkv8AmHo5kuKJZpVc5++q+X4nD5FgsQ6lKMr43CyWBo03Oa/dH4pf8FFv2Lvgr4J+D/xE+KHx10Lwn4V+PehaT4o+FF1deHvHF9qvijw1ren2eqaf4il8MaT4Y1DxR4d0J7O/szdav4p0bRNP065uEsdRuLS+zbCDTP8Ago9+xZrfgmD4kaL8cNO1nwJd/Hqy/ZlsfFGkeDviLqek6l8atSsk1HTvCmlz2Pg+4Op6df2EsV5ZeN7BbnwDdW0sU0HiiSORGb8gfBfgr44/sqfG3/gnv+1N4l/ZR+Pnx18FWf8AwTl+Gf7NOu+E/hV8O28U/Fv4HfFfT9Ki1K9l1XwJq8/h678MwXVreXHhzWNW8Q6lo1rpkereJ7K/ure7trbS9U+PvAHww+K/xF/Ya+OXjD4VfA/Xde1n4Nf8FnNS+Oup/BL4ZW0PifWYfC3g/TNC07WPCvge30IXKeJR4fu9bttNgfwvaanC9lZT39nZ/wBl200lv2yp4enjsXSnUbwmFzWVLE1ou8sDl1PxGy7hOo69oVJYiouHcUuIPr+Fo1MH/tuHcY1MPhqkKnOp1pYShVjBLEV8NQVCm1pi8XiODuK89iqKcqfsVHO8ny/JXha9SGIbeJbdOeLoVKP9W0P7QfwguPj1efsxQ+Lt/wAcbD4bx/Fy78Ef2B4nXyvh5LrcPhyPxB/wkraKvhCTdrNxDZ/2THr764N/2htNForTrzdz418G/FHV/EUvwz8W+GPiLH4C8Rav8NfHMngXXtK8XJ4M+I3ha5ZvE3gDxY/h+71BfDvjbw6uoWDa74V1g2eu6QL6zOoWFuLmHf8AlZ+zD4i+LXx5/wCCtXin9pvVv2Wf2k/gH8JNW/Ygk+HfhnVfj18Nb7wVqGpaxpHxb8O3c9rrEVrNrGieGddu7qPXX0rwnf6/L4iv/Dek23i4WUWka1ZFf15+If8AyGrX/sFwf+ld7WKpyjhMvq1VyYjEYfEVcRSvF+ynTzfOcHRjyxnOVNzwWCwFeUKknPnxEp2jCpTjDWU4/XMdRpPnw+HlgY0KlpXqe3ynAYvE3k4wjP2WNr4rDpwjaMaKpycqkZTny/8AYetf9AfVP/Bfd/8Axmv8pj/golG8X/BQL9uiKVHjkj/bG/abjkjkUo8bp8a/G6ujowDK6sCrKwBUgggEV/qp1/lVf8FD/wDk/wD/AG5f+zw/2mf/AFdXjavueA/98zH/ALBKH/qVI+M41/3XAf8AYVW/9Ron7G/8GtVrdXn/AAUC+MEVpbXF1Iv7HPxAkaO3hkncIPjX+z2pcpErMEDMqliMAsoJyRn+9z+w9a/6A+qf+C+7/wDjNfwOf8GuX/J//wAX/wDszz4gf+rq/Z9r+8+vO4z/AOR7U/7BMF/6bqnfwl/yJqf/AGFYv/05SNT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmsuivlD6Y6bWNH1eXV9Vli0rUpI5NSvpI5I7G6dJEe5lZHR1iKsjKQyspIYEEEg1m/2HrX/QH1T/wX3f8A8Zo1z/kNax/2FNQ/9K5qy6ANT+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGay6KAOm0rR9XjuZWk0rUo1Om6xGGexulBeXSL6KJAWiALySOkca9XdlRQWYA5v9h61/0B9U/8F93/APGaNH/4+5v+wXrn/pl1CsugDU/sPWv+gPqn/gvu/wD4zR/Yetf9AfVP/Bfd/wDxmsuigDU/sPWv+gPqn/gvu/8A4zWlY6Pq6W2sK+lakrS6bFHErWN0pkcavpUpSMGIF3EcckhVckJG742qxHM1qaf/AMemuf8AYLh/9PWj0AH9h61/0B9U/wDBfd//ABmj+w9a/wCgPqn/AIL7v/4zWXRQBqf2HrX/AEB9U/8ABfd//GaP7D1r/oD6p/4L7v8A+M1l0UAR65f6p4f/AOET0WTQb+ebxz48tvDcBdLi2ltPsHw/+JXjGW9itzaSvqGE8LCxkt0e38pb8XrTkWv2a52P7D1r/oD6p/4L7v8A+M1zGteJP7Di8MaZ9i+1f8Jl48svDfn/AGjyP7O+y+AfiV4v+2+V5E32zzP+EV/s/wCz+Za7ft/2vz2+y/ZrjTrCnLmq4mPtefkqUV7Pk5fYc2GhPk5v+XntL+35teTm9n0seji6Ps8FlFX6n9X+s4bHz+tfWPa/2j7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuan9h61/wBAfVP/AAX3f/xmj+w9a/6A+qf+C+7/APjNZdFbnnGp/Yetf9AfVP8AwX3f/wAZrSvtH1d7bR1TStSZotNljlVbG6YxudX1WUJIBESjmOSOQK2CUkR8bWUnma1NQ/49ND/7Bc3/AKetYoAP7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZrLooA1P7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZrLooA6bVdH1eS5iaPStSkUabo8ZZLG6YB4tIsYpUJWIgPHIjxyL1R1ZGAZSBm/wBh61/0B9U/8F93/wDGaNY/4+4f+wXof/pl0+sugDU/sPWv+gPqn/gvu/8A4zR/Yetf9AfVP/Bfd/8AxmsuigDU/sPWv+gPqn/gvu//AIzWlrGj6vLq+qyxaVqUkcmpX0kckdjdOkiPcysjo6xFWRlIZWUkMCCCQa5mtTXP+Q1rH/YU1D/0rmoA9G8AWN7Zf2t9ss7q08z7B5f2m3lg8zZ9t37PNRN+zeu7bnbuXOMjPo1eX/Db/mNf9w7/ANv69QoA/Cj/AIODrr7J+xl8MpM43ftO+DE/P4VfGlvQ/wB2v47v7b/2v8/981/Xh/wcZ3X2T9iP4WyZxu/ao8EJnJHX4SfHBu3+7X8W39tD++f++j/hX9W+EOLdHgrDwu1bNc3enniMK/0P5V8XcJ7bjSvUstcryha2+zh8Uv1P2T/4I26p9p/4KRfs5Q7s7/8Ahb3H+78B/ig/oP7tf1q/tM/sneLPjx4v0rVvCvxZ0L4beFPFPhKw+F37QWg6j8LG8deI/iV8J9K8bWHjfTtA+H3jGP4geDofhP4rhuX8WaJJ4s1nwx8VtKOh+NNUe18GWfiCw0fX7H+Of/gihqf2j/gpv+zRDuJ3/wDC5eMk/d/Z++Kz+n+zX9+NfmHjRV9txblOI1dTC5Tgq9Ftuyq0cwx04OUb8tSClGnJ053hJ0qTdnTi3+m+DVD2fCWbYaS/d4rNsZRrRWnNSq4DARklJe9CWs+WcWpR55tX5nbwnx/8JPEHxLtfhqPEvjHR4NQ+HHx00z4t21zofg+9sbPVNC8N6p4mbwz4Qnsb/wAZavPbatB4d1nS9M13xdHqMtnrGtaZf67p/g/w/Y6vb+HNG8c/Z0/ZO8WfBX4i6z4t8V/FnQvHvhfw14N1X4Ufs++DfDvwsb4dT/DL4S6147ufHl9oXjzxBJ8QPGsPxV8XxXFt4U8O6d4t0fQPhXo1n4b8JWkb+CLnXtW1vX777Zor8gpxVGpKrTXLOftnJ3bTliMJhcDVqcrbiqssLhIUfaJc0VWxklHnxleUf1yqlWjGNT3owlQcUvdt9Xr4jE0o+7b3I18TOpKDupunhlJ8uGpRkUUUUxhRRRQAUUUUAFeM+Fv2fPhB4L+MnxO/aB8M+Ef7N+Lvxj0vwro3xI8W/wBv+J7z/hI9N8E6dBpPhi2/sHUNauvDOkf2Zp9tDb+doOi6XcXuzzdQlu52eRvZqKF7s1Vj7tSNOtSjUWk40sTCNLEU1Je8oV6cIU60E+WpCEYzTjFJD1jKD1hKVKUoPWMpUKvtqMpR2cqNb97SbV4VPfjaWoUUUUAFFFFAHx1+01+wB+yB+2LrHhnxF+0b8FtJ+IXiHwhpt3o2heIIvEfjfwXrsGj3lyL1tIvtY+H/AIm8K6jrelWt4bi80vTtcudRstGu9Q1a50iCym1nVXvPavgh8CPhH+zd8OdF+EvwQ8DaT8Pfh94fa5l07QNJe+ui11eyma91HVNW1e71HXNd1a8k2m71jXNS1HVLlY4Y57uSOCFE9boop/uYVKVL91TrT56tOn7kKs/aSrc1SMbRnL2spVbyX8WTqNOo3MKn72VKdX95OhB06M5+/KlTcXDkpyldwjyNwtFq0G4JqDcArxv4h/8AIatf+wXB/wCld7XsleN/EP8A5DVr/wBguD/0rvaAODr+AT9tH/giH/wVA+J/7YX7VfxO8Dfsx/254H+Jf7Rvxs+IvgnXP+F0fs9aZ/bXg3x18SfEnirwrrH9m6x8WNP1fTf7U0HVtPv/AOz9X0+w1Wx+0fZdRsbO9int4/7+6/gE/bR/4Lef8FQPhh+2F+1X8MfA37Tn9h+B/hp+0b8bPh14J0P/AIUv+z1qf9i+DfAvxJ8SeFfCuj/2lrHwn1DV9S/svQdJ0+w/tDV9Qv8AVb77P9q1G+vL2We4k+t4S/tP6zjf7M+o+0+r0vbfXvb8ns/rD5fZ+w15+e/Nzacu2p8zxPHL5YfCf2j9c5FXq+y+p+x5uf2K5uf22nLyWty682+h+kH/AAQV/wCCY/7cP7F37X/xH+KX7S/wR/4Vr4E179m3xh4A0nXf+Fk/CLxj9r8W6p8T/g74isNJ/szwB4+8VaxB5+j+FdevPt9zp8OmRfYPs815HdXVlBcf1t1+bf8AwSI+Pvxa/ag/4J4/s9/HP45+LP8AhOPin44/4Wx/wlPin+wvDXhn+1P+EZ+OHxL8H6J/xJPB+jeH/Dll9i8OeH9I07/iXaRafafsn2u7+0X1xdXU36SV5GeYvFYzM8TPGRoRxFGX1Sp9WU1RbwrnS5oe0lKbTbbu7X092OqPTyfC4fCZfQhhXWlQqp4mHt3B1UsSoVLS9nGMdLJWSdtfee4UUUV5J6Zqa5/yGtY/7Cmof+lc1Zdamuf8hrWP+wpqH/pXNWXQAUUUUAamj/8AH3N/2C9c/wDTLqFZdamj/wDH3N/2C9c/9MuoVl0AFFFFABWpp/8Ax6a5/wBguH/09aPWXWpp/wDx6a5/2C4f/T1o9AGXRRRQAUUUUAZmteJP7Di8MaZ9i+1f8Jl48svDfn/aPI/s77L4B+JXi/7b5XkTfbPM/wCEV/s/7P5lrt+3/a/Pb7L9muNOszWvEn9hxeGNM+xfav8AhMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xp1hTlzVcTH2vPyVKK9nycvsObDQnyc3/Lz2l/b82vJzez6WPRxdH2eCyir9T+r/WcNj5/WvrHtf7R9jm9fDe39jd/VPqnJ/Z3s7L2/svrVnz3CiiitzzgrU1D/AI9ND/7Bc3/p61isutTUP+PTQ/8AsFzf+nrWKAMuiiigAooooA1NY/4+4f8AsF6H/wCmXT6y61NY/wCPuH/sF6H/AOmXT6y6ACiiigArU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmoA7z4bf8AMa/7h3/t/XqFeX/Db/mNf9w7/wBv69QoA/nm/wCDli6Np+wr8KJB1b9rPwKnTPX4PfHdv/Za/h//ALaf1P8A3z/9ev7pv+Di74ueJvgz+xL8LvFHhXTfhzqmoX/7U/gnQJrf4nfB74R/GzQUsrr4S/G/UZJrTwr8Z/BHj3wvp+rrPpdulv4gsNHttftLKTUNOtdSh07VtUtbz+AP+2B/z0P/AH0P8a/ojwyxc6XC9Om4qMFj8wlCandycq1FzTp8sXBRajaTnPnu2lDltL+fvEjBQrcTVKqlJzeAwEZw9k+WKhRrKDVTmkpuV5XioQ5LJNz5vd/bz/ghpqjXH/BUv9l6Ek4f/hdnbH3f2dvi2/r/ALNf3z+OfjV8G/hh4j+Hng74lfFr4Z/Dzxd8Xdfk8KfCfwt458eeFvCXiP4n+KIRambw38PND1/VdP1Pxrr8QvrIyaP4btdT1FBeWpa2AuIt/wDA9/wQG+MviWx/4KK/s6fCO1074dTeF/FOr/GzXNR1TU/g/wDCPWviVbXtt+zn8RblIPD/AMZtY8E3/wAYfCWkM/h2wE3h/wAK+OtG0C5in1uC502WDxN4kj1b+vX9t34P/GP4geNG074dfBzU/inpXxo+E2j/AAUn8b2/iX4V6Fof7Nuq6T8X/D/j2b4peLrTxx4n8O+N9U8PXmn+TrUMXwh0n4heMB4v+F3g+1HhPTY76HxXpH5/4o16mI4pymE4KNKth8DhKlRTc3HDVMbieeu3yRp4eUeerK+IlKhCOGn7SrzYjDxX3fhrQjheF82nSlKpWo4jG4qnRdNw9piYYTCqNCKUpTrRtCm37GMatT28Y0qd6NVv7s8c/Gr4N/DDxH8PPB3xK+LXwz+Hni74u6/J4U+E/hbxz488LeEvEfxP8UQi1M3hv4eaHr+q6fqfjXX4hfWRk0fw3a6nqKC8tS1sBcRb8/wJ+0B8Bvij42+Ivw0+GXxt+EfxF+I3wf1CDSfi14A8CfEnwb4u8bfC7Vbq4vrS20z4i+FfD+tahrvgnULi60zUraCy8S2GmXMtxp99DHG0lpOsfwX+2D8Mvjh8VvFFxb+Cf2e/Ffi2w+Mfw8l+AUnibVPFnwM0qw/Z2ufCXx507xRa/HHxPBqnxDHifU/BHjTQbOx8feHLT4VQeOvibbar4D8Aad4m+HPgvX7q+vPC3UfsY/Bf4l/Cz4ufGi4vPAnx/wDhp4B1fWviLrPieH42ftI2/wC0D4P+LXxT8efFnW/iBB8Sf2ddFsvil4ssfgz8MdP0zW/FFrqfhJfg5+zJqut6l4o0mbxD4A8Waj4eXxPa/muDbryqqunRUaeYSpNJpVJYf2c8Ope15fZw9m4RqyXtJ4rEZlgKWBoeywmcYjL/ANExTdGSjSTrXeWptaqP1mc44pvk5lJwSl7KMXFUI5fjquOrRWKymjjv0ooooqigooooAKKKKACiiv4XPit/wtD4gfHn9qH4yePfjp+yr8Hv2i/h5+1prfhH4feJfjL8TP2uV/a9+G1lpPjHTIPh14c+CHwj+Ctn4z8G+Kvhl9hmGj2VxbfCLxm8dtrPie51KfT7ObS760ilP2mYYbA8s7Vqftqk4R9pVVN5hlmWKGGw/NGWLxPt80oVPq8JKUqMUofvsRh5R0lT5cHWxXPBOFanh4Rm3GnzzwuPxjqYiqoy+r4eFHL6ydVxf7yVvho1lL+6Oiv5j9S/ZM+Fv7Wv/BSX/gpZ4e/aO07WvE1v4Q+AP7OviJdA8MeNPGvg3wr/AMLCf4K+H0g8Xy6boepaHc65eeF7m31D/hEbXxTHfaZYwazqg1HQ7ue5At/kjwt4ytPix+yV/wAEY/h1+158Rtfsv2PfHXjb9obw/wDG3W9c8Zat4Z8Na1c/DHxhrGk/BHwd8QfGNreaXLovhbSLewttG0y8uvEGmjSNDiv9RtbqxPhu21TS6oqVanhUpUI18X/ZM6bdb/YlQzTN+MsoVWWLcKcuaNbgzF1KEFh4rFrMctpQnSr1p04Z1JRpxlVcazoU6WMdSKpr64q+F4b4Y4l9hDDRlOMr4fiajhq1T237mrgsXVVOpQipn9T/AO1X+0x4D/ZB+B3i34/fErSfF2ueDvBtx4dttU03wNYaNqfiaeTxN4j0rwvYGws9f17wzpcqQ3+r2014bjWbVo7NJ5IVuJljt5foK3nS5t4LmMMEuIYp0DgBwkqLIoYKWAYBgGAZgDnBI5r+JP4n6f8ACPSfhJ/wW50r4DeML7x58INL8WfsG6b4B8SXvi7VvH0U3h+w8a3FpbaXonjbW9T1rU/FHhPw40Mnh3wZrM+r6pHd+FNK0Y2epajYrbX1x6J/wVV8T/Cn4xfGv9rwzxeAYviJ+zl4H+F+iaJrv7T/AO014s8LXmltL4Hk1C88OfsS/s4fDLTPC2pa94y1PXNQ0nxJrniX4n+KfH3g+XU4I7258PaNpeqpKsOtCGGp4hxqzWIqYTFqMoKjiMNldThnC5viIyoNyhVxFLEYqh785why14040qsXQT1dGTxHsFKnF0VjsLOcZOrQxOPp5plWFwvJVSUqNKVDF41OKjOU5YZSnUo1Oe39l1FfyyaN8HPCn7ZP7cX7Afg/9o/UfE3xG0Lxp/wSI+HPiz4jRad478V+Gm+JmqHVtYvZl8XeIfCOq6D4i1nS7vXbyHxNe20eq2g1PXtL0y81FrqKGe2ufmMa7rngv/gn/wCO/gXqfjj4gaH+yp4P/wCCwWu/s5/FHUNN1/UpNV8Gfspx/YrvWPC/9rLaX09n4avdXuJtS1DzlFld69erBNbXf9uXFhedU6E4VqmFc6McR9dxODoSnN08I1hfECfh/Vr4qvNKeFpvFujmEUqdX9xU+rzqQryoTnzRqxlh6OL5ajoywuFxOIhCPtMTGeL4NzXjCnQwtFaYufscnxWCu5UHKrVw1WNJxWKo0f6nbb9qz4eXX7W+o/sZR6N4zX4oaZ8E4fjzca8+naGPAT+EJ/FNt4RTTYdUXxE3iFvEg1K6jnazfwtHpYsVeUawZwts3bfEP/kNWv8A2C4P/Su9r8D/ANhHwh+yb4B/4LFePPB37F/jLS/F3wU0L9ha6htLfwz8StU+LXgnwl4iv/ix4H1jXfDfgvxpqviTxZLdaTLLqUPifU7C216/tNO8V+JPEUSvb3LXVhZ/uVc+EtK+HWr+Io/D934n1BfGfiLV/H+sHx1418ZfFF7PXfEVyy6hYeE5fiZr3i6TwF4JtxYw/wBhfDXwM/h34c+Fi943hnwrpDahfm5XJH6lllde058XhMTXqurT9jJyp51n2CptUryUIrDYDCpOMpRrcv1mLSxPJByk1jsww/uezw08uVJQn7WyxOS5djqvNVtFyk8RiKsnFxTo8zw/vKipyya/yqv+Ch//ACf/APty/wDZ4f7TP/q6vG1f6tP9sXf/ADx0v/wR6L/8r6/ymP8Agok5k/4KBft0SMEDSftjftNuwjjSJAW+NfjdiEiiVI40BPyxxoqIMKiqoAH2/Af++Zj/ANglD/1KkfI8Zf7rgf8AsJrf+o8T+83/AIIF/wDKJf8AZP8A+66/+tK/GSv2Gr8iP+CAupXFv/wSS/ZNhjjsGRP+F74M2laXcynd+0v8ZWO6a4s5Zn5Yhd8jbVwi4RVUfsX/AGxd/wDPHS//AAR6L/8AK+vlM4/5G2Z/9jDGf+pFQ+jyz/kW5f8A9gWF/wDTMDLorU/ti7/546X/AOCPRf8A5X0f2xd/88dL/wDBHov/AMr6847g1z/kNax/2FNQ/wDSuasuum1jVbqPV9VjWLTSsepXyKZNH0iVyFuZVBeWWxeSRyB80kjs7nLOzMSTm/2xd/8APHS//BHov/yvoAy6K1P7Yu/+eOl/+CPRf/lfR/bF3/zx0v8A8Eei/wDyvoANH/4+5v8AsF65/wCmXUKy66bStVupLmVWi00AabrD/Jo+kRnMekX0igtHYqxQsoEkZJSVC0UqvG7o2b/bF3/zx0v/AMEei/8AyvoAy6K1P7Yu/wDnjpf/AII9F/8AlfR/bF3/AM8dL/8ABHov/wAr6AMutTT/APj01z/sFw/+nrR6P7Yu/wDnjpf/AII9F/8AlfWlY6rdNbawxi00GPTYnXbo+kICTq+lR4kVLFVlTbIxEcodA4SUKJI43UA5mitT+2Lv/njpf/gj0X/5X0f2xd/88dL/APBHov8A8r6AMuitT+2Lv/njpf8A4I9F/wDlfR/bF3/zx0v/AMEei/8AyvoA5jWvEn9hxeGNM+xfav8AhMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xp03WvHF1oi+FtP/s7TbpvF/jm18MCYafpFumnCHwF8R/GDXrWw0qWO+dz4RXTkic27wjUJLmO52xS2t3rf2xd/88dL/wDBHov/AMr6wpy5quJj7Xn5KlFez5OX2HNhoT5Ob/l57S/t+bXk5vZ9LHo4uj7PBZRV+p/V/rOGx8/rX1j2v9o+xzevhvb+xu/qn1Tk/s72dl7f2X1qz57mXRWp/bF3/wA8dL/8Eei//K+j+2Lv/njpf/gj0X/5X1uecZdamof8emh/9gub/wBPWsUf2xd/88dL/wDBHov/AMr60r7VbpbbR2EWmkyabK7btH0hwCNX1WPEavYssSbY1JjiCIXLylTJJI7AHM0Vqf2xd/8APHS//BHov/yvo/ti7/546X/4I9F/+V9AGXRWp/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X0AGsf8fcP/AGC9D/8ATLp9ZddNquq3UdzEqxaaQdN0d/n0fSJDmTSLGRgGksWYIGYiOMEJEgWKJUjREXN/ti7/AOeOl/8Agj0X/wCV9AGXRWp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X0AZdamuf8hrWP+wpqH/pXNR/bF3/AM8dL/8ABHov/wAr60tY1W6j1fVY1i00rHqV8imTR9IlchbmVQXllsXkkcgfNJI7O5yzszEkgHVfDb/mNf8AcO/9v69QrznwBeS3f9realqnl/YNv2axsrLO/wC253/Y7eDzMbRt8zfsy2zbvbPo1AH803/B0/cfZv8Agnz8HZM4z+2R8PkzkDr8E/2hW7g/3a/gW/tcf3//AB5f/ia/vM/4Ov7g23/BO34MuO/7aXw7T8/gb+0Yf/Za/wA+b+1T6H8z/hX7VwLifZcP0oa/77jnvberR8vI/IONMMque1JtX/2TBL7qdXz8z93f+Df7URP/AMFcv2S4t2d//C+ONwP3f2ZvjM3QAHtX+llX+Yp/wby35n/4LCfshRc/N/wv7v8A3f2XvjW3p7V/p118f4gVfa5zhpdstore+2JxT/U+r4FpKjlOIila+YVZffh8Mv0CiiivhT7QKKKKACiiigAooooAK8j1b4AfAfXviPp/xi1z4J/CPWfi5pD2MmlfFPVvhv4N1H4j6Y+lwtbaa+n+OLzRpvE1k+nW7NBYtbapEbSFmitzGhKn1yihaThUWk6bcqc1pOnJxcHKnNWnTk4SlBypzhJwlKDk4SlGQ9Yzg9YVEozg9YTipKajODvCcVOMZKM4zSlGMklKKkuGsvhh8NdO8V+LfHen/DzwNYeOPH+n6dpPjvxlZeEtAtfFfjXS9Is10/SdN8W+IoNPj1fxJp+mWCLY6dZ6zeXtvZWarbW0cUICD48/af8A2Hn+LnwU8J/Az9n3xx8Mv2X/AAJ4a1+51W78Af8ADJn7PXxx+DGvWd3cz6s0Vx8IPiL4Xi0PRtcsPEcra7pOv+HNR0lEu9R1+TWNJ1y91DTtQ0T78orOdKE4RpyTUIujaEZOEOXD1qmIoU3GFoSo0sRWq14UZQlRjWq1K0aVOtOVeVwqThPnTTn+996aU3eth1hKk053aqSw0YUPaxcaqo06VL2jpU4UY/mp+yn/AME2fAvwQ8O/Gy3+O3iPwx+1h4u/aE1rwPffE2/8ZfBX4eeDvhvfaL8LtPXS/hn4a0T4L6ZFrngzQtM8IWqo1jDatJZQ3Ftp8mlafo6WEEVfY/ib9nT9nzxp4tfx94x+BPwb8WeOpfD174Rl8aeJvhh4J17xbJ4U1PR9R8Pal4YfxHqmh3WsP4e1DQNY1bQ73RWvDpt3o+qajpk9tJZXtzBL7JRW9Scqrhz8r9nThSglCMYxhDD1MIkkl8UsNVrUak5OdStTr4iFarVhXq055U4KlzcjknOpOpJucnKU51aFdu7d0lVwuFnCEVCnSeEwjpU6bwuHlR8x0H4J/BnwtrvhvxR4Y+Efwx8OeJvBng2L4deD/EWg+AvCuka74U+H0E0lxB4E8N6vp+k2+oaF4NhuJZZ4vDGl3Frokc0kkqWId2YxWvwM+Cdl4Y8beCLL4PfCy08GfEvV9X8QfEfwja/D7wlb+GPiBr3iAW417W/G2gRaQmleK9X1sWlqNX1LXbS/vdSFtbi8mm8mPb6nRUS99SU/fU4zhNT95ThVrrFVYzUuZTjVxUViakZqUamJSxNSNTEJYhVH3eXl93klTlDl93klSpToUpQ5eXklSo1KlGlKPLKlRqVKNOVOlUqUp+PeAv2ePgB8K9Ws9e+GHwN+D3w41zT/AA5deD7DWfAXwz8FeD9WsfCV7rcviW98LWeo+HtE068tvDl34jnn8QXWiQzJplxrc0uqy2r38jzlnxD/AOQ1a/8AYLg/9K72vZK8b+If/Iatf+wXB/6V3tNylK3NKUrXS5pSlZOUptLmk7JznObSsnOc5tOc5yklFJtpJOTTk0knJqKinJpJyailFOTbUUopqKUVwdf5VX/BQ/8A5P8A/wBuX/s8P9pn/wBXV42r/VVr+Vv9pT/g53/4Ud+0L8cfgh/wxF/wlH/ClPix4/8Ag7/wk/8Aw0p/Yv8Awk3/AAq3xRqfgP8A4SL+xf8AhQOrf2N/bv8Awj/9q/2R/a2q/wBmfa/sP9qah5H2yb6zhLEY7D4nGywOX/2hOWHpRqQ+tUsL7KCxDcZ81VNT5pe5yrVW5nofN8S0MJXoYRYvG/Uoxr1HCf1epiPaSdFJx5abTjyx97mej2Wp+j3/AAQL/wCUS/7J/wD3XX/1pX4yV+w1FFfN4zEfW8XisVyez+s4itX5Obm5Pa1JVOXmtHm5ea3Nyq9r2Wx72Fo/VsNh8Pzc/sKNKjz25eb2cIw5uW75ea17Xdr2uwooormNzU1z/kNax/2FNQ/9K5qy61Nc/wCQ1rH/AGFNQ/8ASuasugAooooA1NH/AOPub/sF65/6ZdQrLrU0f/j7m/7Beuf+mXUKy6ACiiigArU0/wD49Nc/7BcP/p60esutTT/+PTXP+wXD/wCnrR6AMuiiigAooooAzNa8Sf2HF4Y0z7F9q/4TLx5ZeG/P+0eR/Z32XwD8SvF/23yvIm+2eZ/wiv8AZ/2fzLXb9v8Atfnt9l+zXGnWZrXiT+w4vDGmfYvtX/CZePLLw35/2jyP7O+y+AfiV4v+2+V5E32zzP8AhFf7P+z+Za7ft/2vz2+y/ZrjTrCnLmq4mPtefkqUV7Pk5fYc2GhPk5v+XntL+35teTm9n0seji6Ps8FlFX6n9X+s4bHz+tfWPa/2j7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuFFFFbnnBWpqH/Hpof8A2C5v/T1rFZdamof8emh/9gub/wBPWsUAZdFFFABRRRQBqax/x9w/9gvQ/wD0y6fWXWprH/H3D/2C9D/9Mun1l0AFFFFABWprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1AHefDb/mNf8AcO/9v69Qry/4bf8AMa/7h3/t/XqFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBlDXdDbXJPDK6zpTeJItKi12Xw8NRtDrkeh3F5Np8GsyaSJvt6aVNf21xYxai1uLSS8t5rZJmmikRdWv5kvEFp+0r8Nf8Agon/AMFX/i54M/aU/sef4S/suP8AFK70X/hTngHUP+Eq0mX4MeNNU+Dfg3+0dVa/TQ/+FOa2uian/wAJFFpupXPxC/sb7F4q08Wmo3cZ+g/E37aX7S+n/sq/8Eh/iTZ/EryfGn7UP7Qn7P8A4H+Omtf8Id4Ak/4Tnwt43S/PijS/7Ol8KvpPhn+0zDF/pvg+x8P6jZbf+Jfd2m5srA/7dQy6cLU62OnktKdKd7UKvEGdcUZPgIuceZTp05cL4qeLnH3oSk1Rp1IeydR4tfVKmYKX7yjgaWa1lVhvWp5Lw3kfEeOShLlcaksPnVGnhov3Jt0va1Kc3XVH91dd13RPC+i6v4l8S6xpXh3w54f0y/1vXtf13ULTSdF0TRtLtZb7U9X1fVb+a3sdN0zTrKCa8v7+9nhtbO1hluLiWOKN3FLw34v8J+MvDOl+NPCHijw74r8Ha5p0esaL4s8N61puu+GdY0mVDJFqml69pdzdaXqGnSRq0kd9aXU1s6AsspUE1/O9dfET9tT9orwl/wAFZdc8X/tMWenfs6/s165+218ItI+Ddl8G/hpNrPj3RbD4XeM7fw/omq/EeHTdP17w5ovgESeH9Q027sbLUfE3im5u9ZtPEHiF7aOxMNL/AIJN/tS/EL44Wvwf+BPhzx83wq+FH7Mn7Hfh/V9S+HOq+CdFl8W/tP8AibVH1Xw3rXi/TNX8YeG9Sltfg38K/EFifC81x4HvNM1PWPGfnJqupXuh3UNjZc8K7qYTGYlJRlSyDAcRYelJScoYDF5Pn2d1KmOUH7rhhMrwbpYfBTr4qc8dKNSFKFOVfC61qXsatOEnzQjnOKySvVjZQljKM8hoUqOFckpc08TnFWlVrYqFDC04YXnjVm506eJ/ok8D+PvAvxO8M6f41+G3jTwn8QvBurNeppXi3wP4j0fxZ4Z1N9NvrnTNRTT9e0G8v9KvWsNSs7vT71ba7kNrfWtzaTiO4gljWDxt8R/h58NbTRr/AOI3jzwZ4AsPEXiHTfCPh+98beKND8K2mu+K9ZE50fwxo1zrt9YQ6n4h1UWtydN0WyefUr4W85tbaUQybf5eNK/a8/bI+Hn/AATI/Yw+JXwfTWfhv4E1rxP+0lqv7RXxj/Zu/ZK+DPj+9+GHh7wT498bxeFIoPgXa2nwx+C3hrwp4iuDdXfi7xfcN4VaG70U6tca6dVvb2w8V4/x/wD2lfiP+1F/wTj/AGTPGV58bPhV8dPi3oX/AAUk+EXhex8eaZ4O8T+B7E6qND8W654Ls/i/4Dbw34LGh+KNOXW7C08Y2Xw5h1Dwbc2VqreD/F/iOU3GtTeg6N8bLC01JxoZ7kOUYiL5HiVSzjNcjy2eJo04OMbw/tj2uE+srD0MXGkpxxDpRqp88pKnG9RxTq4PiXE0J3aoKeRYXirEU6VerJNJ1Xw3y4lYf21bDxrSl9XTqYa39aVeN/EP/kNWv/YLg/8ASu9r83P2YPjF+1z4C/4KJfE79i79o348eHv2kfD93+zdp/7Q/hLxlY/CDwt8Gr3wXdv4+tPCk3g/T9F8KXmqf2no0sOqTtJeeJNb13V2/svSZoL61eTVYr779ubTxlp+r+Ih8TNe8MeLpLzxFq9/4GfwL4S1X4dJ4d+HNxct/wAIz4V8WR+IPGvxRbxn420hkvzrvj/R5fAWheIhc2a6f8NfCxsZm1DJRvh8JiU4yp4zDvEU7Ntw9nisdga9Kd4xXtKGMy7GUJShzUqnso1qE50atOQOVq+Kw8oyjUwtSlCakkuaOIwmGx2GqxtKTUK+ExlCqoT5atJynSrwhVpyTya/yo/+CiH/ACkA/bn/AOzxP2mv/V1eNq/1cPO0X/oH6p/4OLT/AOUdf5SP/BRMof8AgoH+3UYldIz+2P8AtOGNJHEjqh+NfjfYryLHEsjquAzrFGGILCNAdo+64D/3zMf+wSh/6lSPkOMv91wP/YTW/wDUeJ/qtUVqedov/QP1T/wcWn/yjo87Rf8AoH6p/wCDi0/+UdfBn2Jl0Vqedov/AED9U/8ABxaf/KOjztF/6B+qf+Di0/8AlHQAa5/yGtY/7Cmof+lc1ZddNrEukDV9VEtjqTyDUr4SPHqtrGjOLmXeyRto8rRozZKo0shUEKZHI3HN87Rf+gfqn/g4tP8A5R0AZdFannaL/wBA/VP/AAcWn/yjo87Rf+gfqn/g4tP/AJR0AGj/APH3N/2C9c/9MuoVl102lS6QbmXy7HUlb+zdYJL6rayAoNIvjKoVdHjId4w6RvuIjdlkaOVVMT5vnaL/ANA/VP8AwcWn/wAo6AMuitTztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6AMutTT/wDj01z/ALBcP/p60ejztF/6B+qf+Di0/wDlHWlYy6QbbWNljqSqNNiMobVbVi6f2vpQCxsNHQRuJDG5dllBRXj8sNIssYBzNFannaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdAGXRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdAHMa14k/sOLwxpn2L7V/wAJl48svDfn/aPI/s77L4B+JXi/7b5XkTfbPM/4RX+z/s/mWu37f9r89vsv2a406brXinSNDXwtpg0XUrmPxj45tfDTyHXbWF9Pe28BfEfxfHfqP7AlW5Qr4Ul017QiAk6lHerdqLFrS91vO0X/AKB+qf8Ag4tP/lHWFOXNVxMfa8/JUor2fJy+w5sNCfJzf8vPaX9vza8nN7PpY9HF0fZ4LKKv1P6v9Zw2Pn9a+se1/tH2Ob18N7f2N39U+qcn9nezsvb+y+tWfPcy6K1PO0X/AKB+qf8Ag4tP/lHR52i/9A/VP/Bxaf8Ayjrc84y61NQ/49ND/wCwXN/6etYo87Rf+gfqn/g4tP8A5R1pX0ukC20ffY6kynTZTEF1W1Uon9r6qCsjHR3EjmQSOHVYgEZI/LLRtLIAczRWp52i/wDQP1T/AMHFp/8AKOjztF/6B+qf+Di0/wDlHQBl0Vqedov/AED9U/8ABxaf/KOjztF/6B+qf+Di0/8AlHQAax/x9w/9gvQ//TLp9ZddNqsukC5i8yx1Jm/s3RyCmq2sYCHSLExKVbR5CXSMokj7gJHVpFjiVhEmb52i/wDQP1T/AMHFp/8AKOgDLorU87Rf+gfqn/g4tP8A5R0edov/AED9U/8ABxaf/KOgDLrU1z/kNax/2FNQ/wDSuajztF/6B+qf+Di0/wDlHWlrEukDV9VEtjqTyDUr4SPHqtrGjOLmXeyRto8rRozZKo0shUEKZHI3EA6r4bf8xr/uHf8At/XqFec+AHsn/tb7Hb3UGPsHmfabyK735+27NnlWNl5e3Dbt3mb8rjZtO/0agAor4J/4KVXK2f7Keu3eu3Gs2vwmtviZ8DLj9pC50OXXYLi3/Zeh+MngiT9oebWJvDTLrUXgeL4UL4nf4nSWrLAnwzHi9tTYaSL818MeHf2o/wBgT9mRvg9r37E/xd+DXws/Yn8S/tean4I+P/ir4bW+i6J+w9our6t+yP8AFDxF4e0D4S/EY6JB+zr4Vg8Q/Ezwt8NP+EtX4AeKrLT9Q+ON/c+FvGUo+KPjfxTomvZQqwf1qVSUYxw81S5ab9rWhP6pTxkK2KpJJ4fB4v2iy/Lq8XVqY3NuTA0qFerXoYaVTjKMISjGbvh6+KlKUeWlOnh5V1Vw+Gq81q+Ow9LD1Mdi8O1COHy+UMTUnTp+0xdL93aK/k78C/tafGBLnWv2i/FX7Yfir4a+O/jn+wt/wSo8TePrzxN4Y/Zzs4vgx8GPiP8AtJ/FTwP8fP2nNG8Faz8JJf7Dt/glpGvaxqereL/GreKfgd8MfEfxL1jX/iz4U8QeFdG8K6H4d+m77TPEv7Z1r/wTKk+KHx58RfGD4Z6J/wAFGv2g4fCHjt/hp+zTrHg39rT4bfBj4c/tD+MvgJ8avFOia/8AArxF8OdbuLrTPh3Z2nhr4l/A3Qfhx4P8RWmvav8AF/4TWvhrXbn4VeLfAnXDD1ZVcNRcVCpUq4SGKi5Kf1VVsTmlHErnpOpSlUowy22FjVqUaeY4urjMPhKlaPD3EU8HOIccPLGxclP6tSzGVGcbqGLqYLC1alFUnJJuhicVQqUp16ftlgsLLBY3GKlDOcmhiv6KaK/LL/gkp8GrL4XfAf4x+JrnxdrfxE8c/Fr9sX9r/wAT+P8A4heLvCHwX8OeNfFWr+Ff2jPiV8M9Pu/E+sfB34U/CtfGF22keC7W+XVPGlt4j1rSpdSuvDXhzU9E+Hej+DfBPhb9TazceWOHfMpSq4LL8TPlUlCFTHZbluYzpQc1Gc4Uf7Tp0VUnGEqsqVSpyQjKnEJaVcVTWsKGOx+Fpz2dangsdi8FCu4b03X+p1K3sm5SpRnThKTmqjRRRRUgFFFFABRRRQAUUUUAfCPjv/gnr8GvH/7TmsftSX3jH4z6D4l8Y/D5vhj8Ufhx4S8ew6B8I/jD4RPhzWvCq6f8TPDdvoT69ryw6PrEaW0Np4q0uytL3RdE1W2tIdTtbi7u/mTwV/wRR/Zw8Fax8HdSX44/tgeK9O/Z/wDid4X+KHwc8HeNvjLoniLwJ8Pb3w3r0viW48L+GPCE3w/h0XSPCvirV10y58VCxtrfxNfHRNO+w+JtMabWG1X9iaKKH+yyoTw/7qWGaeHcP+XLjjsTmUHDm50nTx+NxuKotxk6FTGYtYd4enisTRrlb/aI14Vv3kcTB066l/y9hLAwyycZOPJK1XL6dLB1uWUHiKFDDwxDxH1bDSw/xn4U/Yb+E3g7wJ+118PdM8Q/ESfRf20PGXxZ8cfFG6v9W8NS6poOrfGPQZvD3ie38AzW/hK1tNL06xspml0GLxFZeKbm1ugr6hd6pEDAeR8O/wDBOj4JeEJ/2VNT8K+KPijoHiX9kfwVq/w08FeLtO1fwaviHx78ONe02TTNW8DfFmWbwJNpvifw7cRz3V7awaPpvhm60bVry61XQrzTL+Xz1++qKj2VNQ9moRUPq+BwnLrb6rluCx+W4HD739lhsvzTMsFCF7Tw2NxNGs8RGp7lSnKTm5SbdStjMRNv7VfHyy+pjKz0X7zEVMpyypOSScamBw1Sl7CdPnl+WVz/AMEjP2cR8FPgR8HvD/xB/aG8Cav+zbrnjvWvhL8dvh98RtG8G/Hrw7H8S9c1nX/Geir4x0TwZbaG2jaxdawbd4ofCVvf29lY2sFtqELXGry6ptW//BKb9nKD4QeD/hFJ4t+Nuojw1+0to/7WfiH4l67450fxF8Vvin8ZdGOopHrPxN8Ua94R1Gx1izvrS/jstSt9F0Pw7d3SWFveC/j1a61fUdU/TOitlUqRqyrRm1Vni8NjpVFbm+t4TE4LG4evFtNQlDGZbl+KlGmqVKvicFhq+Ko4urRhMicY1FyzSkvZ4qk0/tU8bTzOjiYTtZ1FUo51m9KLqOrKhTzLGU8JPBwryivmW2/ZT+Hlr+1vqP7Zses+M2+KGp/BOH4DXGgvqOhnwEnhCDxTbeLk1KHS18Or4hXxIdStY4GvH8UyaWbFniGjicrcr23xD/5DVr/2C4P/AErva9krxv4h/wDIatf+wXB/6V3tQvdp0qK0pUIzhRgvhpwq4nE4upGPVKeKxuLryu5fvMRUaaTjCDl71WrWlrVreydWo/iqOhh6OEo8z0T9nhsPQoRso2p0oJ8zTnLg6/yo/wDgoh/ykA/bn/7PE/aa/wDV1eNq/wBVyv5W/wBpT/iF8/4aF+OP/C8/+S4/8LY8f/8AC7f+UhX/ACWT/hKNT/4Wp/yJ/wDxSH/I+/8ACQf8il/xS3/Quf8AEm+xV9bwlj/qGJxs/qeOxntMPShy4Gh7ecOXEOfNUjzR5YO/LF3d5aHzXEuD+uUMJH61hML7OvUlzYut7GM70VHlg+WXNJfE1paOp/VJRRRXyR9KFFFFAGprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1ZdABRRRQBqaP/wAfc3/YL1z/ANMuoVl1qaP/AMfc3/YL1z/0y6hWXQAUUUUAFamn/wDHprn/AGC4f/T1o9Zdamn/APHprn/YLh/9PWj0AZdFFFABRRRQBma14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/tvleRN9s8z/AIRX+z/s/mWu37f9r89vsv2a406zNa8Sf2HF4Y0z7F9q/wCEy8eWXhvz/tHkf2d9l8A/Erxf9t8ryJvtnmf8Ir/Z/wBn8y12/b/tfnt9l+zXGnWFOXNVxMfa8/JUor2fJy+w5sNCfJzf8vPaX9vza8nN7PpY9HF0fZ4LKKv1P6v9Zw2Pn9a+se1/tH2Ob18N7f2N39U+qcn9nezsvb+y+tWfPcKKKK3POCtTUP8Aj00P/sFzf+nrWKy61NQ/49ND/wCwXN/6etYoAy6KKKACiiigDU1j/j7h/wCwXof/AKZdPrLrU1j/AI+4f+wXof8A6ZdPrLoAKKKKACtTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuagDvPht/wAxr/uHf+39eoV5f8Nv+Y1/3Dv/AG/r1CgClqN59gs5rvy/N8ry/wB3v8vd5kqRff2vjG/d905xjjORzH/CX/8AUO/8m/8A7mq/4we+j8M6xJpdtaXmpR2hfTrS/vZtNsbq+WSNrS2vdRt7DVbiwtJ7gRxXN7BpepTWsLPPFYXjxrbyeI6VeeOJtD1K41zw74U07xLF9s/sjSdK8Z6vrOh32yzjfT/7S8Q3fgPQr/SvtN+Zra8+y+GNZ+w2aR30H9ozStp8OcqqjNQcKrbhOpzQoznTShvF1IvlVSX/AC7pv36j0izqpYSdahLEKvgYRhiKGGdKvjsPQxMpYhpRqww1ROrPCUr3xWLi/Y4VXdZNI9s07xH9vvIbT7H5Xm+Z+8+0eZt8uJ5fueQmc7Nv3hjOecYPT14j8OrnxVdXUEni/RvD+h6kt3dpBaeG/E2peKrGSxGn7ormXUdU8JeDbiG7e4a5iksk0ueGOGGCdb+V7mS3tfjX9j/4wfGPxX8ZJ9O+IHxj1P4naD8Yvg54o+Odt4A1nw18K9G/4Zr1fw/8a9T+HVt8LvC2pfDbwxoOuat4YuNNubjQr+T4ta38QvGT+Nfhj4ovNP8AGMdld6j4a0IoVFXrQoxjOEqmGrYmPtoOk17KOJn7GdOTdSnVqU8DjZwcl7NewUJS9piKEY5Y2jLA8/tKmHrqnjKeDc8HiKWMoTlU+rXrUcTRUaNehTljcHGU6SvKVafIrYbEN/pxRX5R+NPij+1BefEf9oD4Pat8cbD4d22u/tK/s9/Db4X/ABF+Evw68BWviL4GfC34l+EtT8TNCr/Gi1+Kfg7x18TfFV/4et/Cn/CUeKvBOq+GbbxB470600D4YBdIiudU+Z/B37Wn7T2u6b4P+KMv7R2h27eCPGfwz+AE/wAOPEvhT4P6T8H/ANoGLxufiZos/wC0/wCMtb07w1P8VPDElyvh23+IGnx/DDx14Q+GGm6L8N/iEX8F+ItAvE1Tw9zvG01hniuSryLBxx3s0qbreylGvB0+R1oRWIhjoYTLp0nWShiMfSrSxEcFhcZXczg6dV0W4uSrzw/Mm+R1IypSi01Cc/Z1ML9cxkJqjKXssBUouhLFYrA0Z/vpRX5e/wDBNz40/tA/EH/hcXw6+Py/GbVNc+GmnfBvX4PF3x71L9jjUfH+qat8VPDPiDXdc0XTn/YWnuPgd/wrbTbLRvDniX4a3F86/E698N+N4rnxwjI2h3Nx+oVeniKEsPUUJTp1OaCmp0pOUGva4yhJJyjTknCvgMXTlGdOlNOknOjh5zlhsLz0a0a6qSipxVOtVotTiotul7Fqa5alWLhUpYnDVYShVrQcay5K+IjGOKxZRRRWBqFFFFABRRRQAUVT1G7/ALP0+/v/AC/O+xWV1d+Vv8vzfs0Ek3l+ZtfZv2bd+x9uc7Wxg/gL4N/4LieO9c8HfBv4ueIv+Cf3xO0z4IfGH4kah8FtG8eeFfjL4C8Va3qfxeE/iC30Hwl4I8DazofgfUfFOmarNpul2l54t13UfA2i6dqU/iTS7J9bvfC8cWuTCaqV3hoKU6yjhpezjCTb+uYqrgcHTi1HllWxeNpSweFoRl7Wvip0aFOLnWptVOLp0XiJuMaKlXi5uUVb6rhHj8TJxvzcmHwMamLr1LclLD0q1WclGlUt/QNRX86n7VP/AAUW+LfxW/YW/wCCh2gXPw48ffsY/tQ/sp658D9H8RaT4T+McXinWdH034i/EHwZLo2saB8VPh9ZeFY4LzVdOg8Qabq2naNJdWq6RcWbprepQ6xeWWn/AEd8Lf8AgpV8a9P8YfCX4L/Gn9ir4g/DHW/jh8JfEuu/sseK/FHxm8DeILv4+eKPBHgu38RWHh3xza6fYTp8GPEXjOyaxN2nijXvEmoeG9b1uxtdds3tJLjV4iMk6eKna/sFgp0I02qqx9LHZFmOf0XgqlNulVrzwmV42nSwSm8Zia2HxEaFKX1erFqa5HTTaXNVx9DEc/7p4Orl+Y5Rl1Z4mNRRlTwyqZ3gq9XGuMcHhcLVp4jE1oUa0KkP2dor+e/9g39vz9szVP2P/HPxU+Iv7LvxU/aL8b6j8ctS8J/CzVfDHj/wrqI+IPiTxT4y8WW/iLRPFMGjaA2l/s7/AAq+CUOh2Gkal8QfEWnR+BJI9TsriwtdNs/tEy+u/Dv/AILP+D/Ef7O37XHxk8cfBRvDHjT9kmXwXB4h+H3w9+M3gX45+D/F8nxPmGkfDqTQfjd4BsT4Le0vvE6XOk+Lr2xs9Zt/CFrAbqN9f1QXGgW1SahGcnKLdHLsvzKtGD55RoZhQyirTjTSs8TOlUzzLcPW+rqUFUxWHnGc6WIpODUJyqwpKMr1czxWVUZSi4RnicNjMfg1zuSth41p5bipU/rDpzi6NejVhCvhcRFftnXjfxD/AOQ1a/8AYLg/9K72vj79hL9vTxz+2DrfjzRfGH7Ndx8JLPwrpWmatoPxE8CfGjwP+0x8EvF7XE6W+r+GLb40fC7TbbwFZ/EHQjd6Xe33gSDVNW1620q9e/1SLSRDFDd/Tdzr2q+LtX8RP4g8FeJ/hc3h3xFq/hXR4vHV34N1B/HuhaRcsdP+JXhM/DPxb8RY7PwT4pNzMuhWHjmTwZ8Rrc6fef8ACTeAPDqvYNfaVKU6Xs+dJe0pRrQ1TbhN1IptK0oS5qVROE4wmrKXLKnUo1a+NKtTrKTpy5lCcqcnZpc0Y05PlbVpxcatOUZwcotSavGcKtKjk1/lR/8ABRD/AJSAftz/APZ4n7TX/q6vG1f6uH9n2n/Qc0v/AL861/8AKev8pH/gomoT/goH+3UiyJKq/tj/ALTirLGHCSBfjX43AkQSpHIEcDcokjjcAjeitlR9xwH/AL5mP/YJQ/8AUqR8lxl/uuB/7Ca3/qPE/wBVqitT+z7T/oOaX/351r/5T0f2faf9BzS/+/Otf/Kevgz7Ey6K1P7PtP8AoOaX/wB+da/+U9H9n2n/AEHNL/7861/8p6ADXP8AkNax/wBhTUP/AErmrLrptYsbV9X1V21jTYmbUr5miki1cvGWuZSY3MWlSRl0J2sY5JEJB2Oy4Y5v9n2n/Qc0v/vzrX/ynoAy6K1P7PtP+g5pf/fnWv8A5T0f2faf9BzS/wDvzrX/AMp6ADR/+Pub/sF65/6ZdQrLrptKsbVbmUrrGmyE6brC7Ui1cEB9IvkaQ+ZpUa7IlYyyAMXKIwiSSQpG2b/Z9p/0HNL/AO/Otf8AynoAy6K1P7PtP+g5pf8A351r/wCU9H9n2n/Qc0v/AL861/8AKegDLrU0/wD49Nc/7BcP/p60ej+z7T/oOaX/AN+da/8AlPWlY2NqttrAGsaa4fTYlZli1cCIDV9KfzJN+lKxQsqxARLI++RCUEYkkjAOZorU/s+0/wCg5pf/AH51r/5T0f2faf8AQc0v/vzrX/ynoAy6K1P7PtP+g5pf/fnWv/lPR/Z9p/0HNL/7861/8p6AOY1rxJ/YcXhjTPsX2r/hMvHll4b8/wC0eR/Z32XwD8SvF/23yvIm+2eZ/wAIr/Z/2fzLXb9v+1+e32X7NcadR65rFvoP/CJ6QLiwvk8bePLbw296kmqQRaN9i+H/AMSvGC3s0MmjPNe/aT4V/syO3gWPY18byWdUtRBc7H9n2n/Qc0v/AL861/8AKesKcuariY+15+SpRXs+Tl9hzYaE+Tm/5ee0v7fm15Ob2fSx6OLo+zwWUVfqf1f6zhsfP619Y9r/AGj7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuZdFan9n2n/Qc0v/vzrX/yno/s+0/6Dml/9+da/wDlPW55xl1qah/x6aH/ANgub/09axR/Z9p/0HNL/wC/Otf/ACnrSvrG1a20cHWNNQJpsqqzRauRKDq+qv5kezSmYIGZoiJVjffG5CGMxySAHM0Vqf2faf8AQc0v/vzrX/yno/s+0/6Dml/9+da/+U9AGXRWp/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T0AGsf8fcP/AGC9D/8ATLp9ZddNqtjatcxFtY02MjTdHXa8WrkkJpFiiyDy9KkXZKqiWMFg4R1EqRyB41zf7PtP+g5pf/fnWv8A5T0AZdFan9n2n/Qc0v8A7861/wDKej+z7T/oOaX/AN+da/8AlPQBl1qa5/yGtY/7Cmof+lc1H9n2n/Qc0v8A7861/wDKetLWLG1fV9VdtY02Jm1K+ZopItXLxlrmUmNzFpUkZdCdrGOSRCQdjsuGIB1Xw2/5jX/cO/8Ab+vUK858AW8UH9reVfWt7v8AsG77Ml6nl7ftuN/2yztM78nb5fmY2Nv2ZXd6NQBn6raSX1hPaxMiyS+VtaQsEGyaOQ7iquwyqEDCnnGcDJHHf8InqP8Az2sv+/k//wAjV6DRQBx2leHr2xv4LqWW1aOLzdyxvKXO+GSMbQ0CKcM4Jyw4zjJwDxmg/s6fs+eFtU8e654Y+BPwa8Oa18VfGvh74lfFDWNB+GHgnSNU+JHxG8JazD4j8KeP/Huoafodvd+MPGvhjxDbwa94e8VeIZtR13RdZgh1TTb+2vo0nX2Sihe7NVI+7UUXBVI+7NQlOjVlBTjaahKph8PUlBTUJVMPh6koSqUKFSiPWPK9Y88anK9Y+0hGtCFTld4+0hDEYiEJ8vPCGIrwhOMK9eNbzHx18E/gz8UfD/jjwl8TPhH8MfiJ4V+J1vpNp8SvDPjrwF4V8XeH/iFaaAYG0K28caNr+k6hpviy30VrW2Okw6/bahHpxt4DZrCYY9uVa/s7fs/WPjbwD8S7L4F/Byz+I3wp8En4afC7x/a/DHwVb+Nvht8ODZzaefh/4B8VQ6Imu+DvBJsLi4sT4U8O3+naF9jnmtvsHkyujex0UoxjH4YqOql7qUfejQxeFjL3VH3o4XH4/CxlvHDY/HYaLWHx2Nw+MJJTuppSTUotSSknGdbC4icWpKScZ4jA4HETi04zxGBwVecZ18Fg62E8z+FXwW+DnwI8OXvg/wCB/wAJvhn8GvCWpa/qvizUfC3wq8B+Fvh54cv/ABTrpgbW/Et7onhHStH0y61/WGtrY6rrM9rJqOoG3gN3czGKPb6ZRRTu7RV3aMKdOKu7Rp0qdOjSpxV7Rp0qNGlRpU4qMKVKlSpU4U6VKlSpltZPrOdSpN9ZVKtSpWq1JPeVSrWrVq1WpJyqVa1arVqzqVatWrVKKKKACiiigAooooAz9WtJL/StTsYWRZbzT7y0iaQsI1kuLeSFGkKq7BAzguVR2C5IVjgH8L/AH/BLv48eGP2S/wBhn4B6x4q+Dl54o/Zn/bV0H9o34hXltrnjK48Ma34D0zxx4w8S3ej+FLi6+H1vqOpeKJdO8QWcEen63o2g6NJdR3UUuuRwJFPN+8FFFH9xiPrVPSt7TKql5e9HnybM62b4F8jsrQxtec6qv+9pqFJuChGYVf31B4aetJxzGLS0lbNcnxORYz3tX72X4qtGm7fuqzjXjzSioP8ACn4/f8ExPj58VD/wVQPh3xd8IbI/tw3/AOzJdfCY6zr/AIztj4dT4L6ppt74oHxDNj4A1H+yXv4rORdAHhr/AIS0XUjRjUW0pSzr6H8Lv2Jv22/Gn7Rn7NPxN/bM+MHwA8UfD/8AY10XxPafCKx+CuhePtL8Y/FDxL4h8MQeDV8afF6LxMtnoega3Fp9jp2uXFt4NudR0GXU4bnSrTR7Kwvbm8k/ZOilh0sPGlCCU4UKeBhRhWXtYU55dleZ5PgsTGL5bYqhgc4zCEK92/aV413SdWhh5UXiG8S8Q6mksVUx1SvKn+7nOOZVcnq47DuUbtYXFSyHLI1aC0dOjUhGpD6xXlP+azVf+CTf7dMvwKP7O0PxH/ZK8S/C34Y/tSN+0B8I/CHjE/GYaP8AFrR9U8S+KdV1rwh+0jBoej2kMekwRajo2o6XoXhG11yOa8l8Q6Rf6/8AZ30jWrL2n4Mf8Ewf2m/h34Q/bu0z/hL/ANkT4c+Iv2rfD/we1HwZY/CP4KaRqPwZ8IeJfBWl6vL4v+GWtfA/4oeAfE/g6X4R6lfatN4a07WMeIPEmpWD3fj7UPD2l+JL2Tw8n71UVMKap4eph4uXLVwUMDUqSalXnRp4DIctjKdVw/eVfqvDOSLnrUq9NSwTUMNSpYvH4fHXUqyq144iai5xxjxygo2oqu8yzTNpKNJStClLG51m1SUKc6UprH1VOvOdHA1cv/Dz/gnN/wAEyfi5+y5+0l4//aL+J0X7Nfwz/wCEk+HF14Dg+Fn7Jd/8brvwD4p1XXPFUHinWfG3iu1+MmpTJ4ZutNfT7TTNA8H+A7Cy8E2lrOr6Ro/hddLa21v9X/iH/wAhq1/7BcH/AKV3teyV438Q/wDkNWv/AGC4P/Su9ronVlUhh6TUY08LQWHoQjFpQpKrWrtaynJ3q4irK3NywTjTpU6NGEKS54Uo051qi5nPEVI1aspSu5TjRpUIt+7HVUqUFKTUqlSV6larXqydRcHX+VH/AMFEP+UgH7c//Z4n7TX/AKurxtX+q5X8rf7Sn/BsR/wvH9oX44/G/wD4bd/4Rf8A4XX8WPH/AMYv+EY/4Zr/ALa/4Rn/AIWl4o1Px5/wjv8AbX/C/tJ/tn+wv+Eg/sr+1/7J0r+0/sn27+y9P8/7HD9RwlmeByzE42pjq3sIVsPSp037OrU5pxxDnJWpQm1aLvdpJ7J30PnuJcvxeYUMJDCUvaypV6k5rnpw5YyoqCd6kop3krWTb6tWP6pKKKK+SPpQooooA1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qy6ACiiigDU0f/j7m/7Beuf+mXUKy61NH/4+5v8AsF65/wCmXUKy6ACiiigArU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooAKKKKAMzWvEn9hxeGNM+xfav8AhMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xp1ma14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/ALb5XkTfbPM/4RX+z/s/mWu37f8Aa/Pb7L9muNOsKcuariY+15+SpRXs+Tl9hzYaE+Tm/wCXntL+35teTm9n0seji6Ps8FlFX6n9X+s4bHz+tfWPa/2j7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuFFFFbnnBWpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFAGXRRRQAUUUUAamsf8fcP/YL0P/0y6fWXWprH/H3D/wBgvQ//AEy6fWXQAUUUUAFamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1AHefDb/mNf9w7/wBv69Qry/4bf8xr/uHf+39eoUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUV+Wnxc/4Kg/Cv4Sf8FA/hr+xR4iu9K0qz8TeGLBPEvi660rx1quqwfFbx5qGj2Xwp+G2k6do3huXTbaLXbPU7fWNR8XXF/qug28eo2+m6jP4cudOvLifptL/4K8/8E7tb0jxdrukftDxanpXgLwkvjjxnd2Pws+NlyPDPhqTxzpnw4ivNYhi+G7XFldz+MNa0jTYNGlhGtz2mpWWuw6c+gXMWqNFOpCrQp4mnKMqNT644SutYYDF/UcTVaveNKGJThGpLlhNJVItQnSdW505060qE4SVWP1G8eV6yzGg8Tg6cXa0qtWktKcbzU37NpzU1D9JaK+ZviR+2J+zn8I9c+Hnhr4g/ET+wNc+K3gXxz8SvAFj/AMIl461X+3/Bfw28Iy+O/Gms/adE8MalZ6V/Y3hWGTVP7O1qfTtW1Hb9h0mwv9RK2Z/GOL/gulH40/Z88KfFjwFZ/CnQ/GQ/bH8AfB34q+EfGenfEG58P/Dn4E/Ei++I0nhfxhP4zvLvwBot/wCKL7w94Au9YudZgu5NG0NIrsa/4S07dbJWkVKWK+qcrjWVajQqKa9nChUrZ7huG2q9SbjGl9WzfExw+O53fBQo4qtiVTp4ed4dlQWJupUp0p1qbh77q045Njs+pypRipSqLFZbl9apgnFNYytVwmHw7nVxVK39GteN/EP/AJDVr/2C4P8A0rva8t/Zw/bs/ZM/a413xp4Y/Z3+M2h/EjxB8P44bjxRpNro/izw/eW1jcXk2nx6tpcfi3w/oH/CS6GL2EW02u+GTrGj28t1pq3F9F/aumG76y58a+Dfijq/iKX4Z+LfDHxFj8BeItX+GvjmTwLr2leLk8GfEbwtcs3ibwB4sfw/d6gvh3xt4dXULBtd8K6wbPXdIF9ZnULC3FzDvHGSjTm4yUa1KnXpScZJVaNVOVKrTclHmp1Em4zSs7SVoyjKEEpRcqkVKLlSqTo1YqSbp1abSqUppN8tSHNHmi3dc0XrGUZSya/zZ/8AnYA/7zEf+/qV/pWf2HrX/QH1T/wX3f8A8Zr/ADWPIn/4iB/s3ky/af8Ah8b5H2fy38/z/wDhtfy/J8rHmeb5nyeXt37/AJcbuK+v4S/5nf8A2Kp/+7Z8txR/zJ/+xlD/AN1j/STorU/sPWv+gPqn/gvu/wD4zR/Yetf9AfVP/Bfd/wDxmvjz6oy6K1P7D1r/AKA+qf8Agvu//jNH9h61/wBAfVP/AAX3f/xmgA1z/kNax/2FNQ/9K5qy66bWNH1eXV9Vli0rUpI5NSvpI5I7G6dJEe5lZHR1iKsjKQyspIYEEEg1m/2HrX/QH1T/AMF93/8AGaAMuitT+w9a/wCgPqn/AIL7v/4zR/Yetf8AQH1T/wAF93/8ZoANH/4+5v8AsF65/wCmXUKy66bStH1eO5laTStSjU6brEYZ7G6UF5dIvookBaIAvJI6Rxr1d2VFBZgDm/2HrX/QH1T/AMF93/8AGaAMuitT+w9a/wCgPqn/AIL7v/4zR/Yetf8AQH1T/wAF93/8ZoAy61NP/wCPTXP+wXD/AOnrR6P7D1r/AKA+qf8Agvu//jNaVjo+rpbawr6VqStLpsUcStY3SmRxq+lSlIwYgXcRxySFVyQkbvjarEAHM0Vqf2HrX/QH1T/wX3f/AMZo/sPWv+gPqn/gvu//AIzQBl0Vqf2HrX/QH1T/AMF93/8AGaP7D1r/AKA+qf8Agvu//jNAHMa14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/tvleRN9s8z/AIRX+z/s/mWu37f9r89vsv2a406j1y/1Tw//AMInosmg3883jnx5beG4C6XFtLafYPh/8SvGMt7Fbm0lfUMJ4WFjJbo9v5S34vWnItfs1zsf2HrX/QH1T/wX3f8A8ZrCnLmq4mPtefkqUV7Pk5fYc2GhPk5v+XntL+35teTm9n0seji6Ps8FlFX6n9X+s4bHz+tfWPa/2j7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuZdFan9h61/0B9U/wDBfd//ABmj+w9a/wCgPqn/AIL7v/4zW55xl1qah/x6aH/2C5v/AE9axR/Yetf9AfVP/Bfd/wDxmtK+0fV3ttHVNK1Jmi02WOVVsbpjG51fVZQkgERKOY5I5ArYJSRHxtZSQDmaK1P7D1r/AKA+qf8Agvu//jNH9h61/wBAfVP/AAX3f/xmgDLorU/sPWv+gPqn/gvu/wD4zR/Yetf9AfVP/Bfd/wDxmgA1j/j7h/7Beh/+mXT6y66bVdH1eS5iaPStSkUabo8ZZLG6YB4tIsYpUJWIgPHIjxyL1R1ZGAZSBm/2HrX/AEB9U/8ABfd//GaAMuitT+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGaAMutTXP+Q1rH/YU1D/0rmo/sPWv+gPqn/gvu/wD4zWlrGj6vLq+qyxaVqUkcmpX0kckdjdOkiPcysjo6xFWRlIZWUkMCCCQaAOq+G3/Ma/7h3/t/XqFec+ALG9sv7W+2Wd1aeZ9g8v7TbyweZs+279nmom/ZvXdtzt3LnGRn0agAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPxs/adh+JXwv8A+CqH7L/x6sfgT8a/ix8LvEP7PXiv4Cat4j+DvgS+8cw+AvFPiX4hRXVtrXj57WW2s/C/hOwttWsb/UtY1S9t/wDiVx6td6Zb6nNo15aD42+G37JPxq1r/ggp8WfgTp3we8aeGvjf4l1rxz4zm+HHiHwlqvhbx34hu/Dvx107xXAf+Ed8Q2+latdaprHgvwnZweH4jbm51i3i0q20mG9knsoJv6XKK5vqsf7PxmA55f7XSq0Y10oqdCnPiePFkEqf8Ot7LNE1eq4+0w/LTmlKnCZ0xxMo43B41RjfC4nAYp0m241quByDG8ORvNrnpRq5fjG5KmpKOIpRqwvGdSmfzh+B/Gfxv/aW/by/4Ji+P5P2Mv2r/gn4A+Anw7+M3gbx94v+NPwo1bwppdr4w1T4KPp94o8kX8mk+EBfR6Pp/hfxb4tHhoeNNU1S80rStIi1DQNTt1+P7b4TfH7Vf2R/hb+yR4h/ZC/aUXxR8Ff+CnXhPx34x1XVPgp4j1b4YeM/hp4q8Y/FiXUvEPhbW7azv4/E/hPRLV0TxbrT6WvhO20zWdCu11q9tdajWP8Ar8or0frDePo49wTnDH1MzrU7yUcRi6nHOB4+c3JLmo01m2EqYZUaSlD6jieRv2mGpTq8CopYZ4aM5RUcBhstoTVnOjhcNwjnnBkU9Uq1WWWZ3Os6s3CSxmEpVYrlq1oQ/JTRfhj49tf+C1viz4rL8PfF9t8ML39gbT/CKfEkeE9Zh8BXfjOL4taLef8ACML4xFgvh648TxaNaLdf2KNRfVU0y2Wf7MLWEMv6D/EP/kNWv/YLg/8ASu9r2SvG/iH/AMhq1/7BcH/pXe1hB8mFweF3jgqOIpRm/iqLE5pm2aSlNfCnGpm9WkuVtOFGnOX7ydQ1mlPFYrFWUXivqV6cUuSmsDleByuCg9G1OlgYVZJpKM5yhBezjA4Ov82f/nYA/wC8xH/v6lf6TFfxJTf8EgP+Cilv/wAFgx+1DL+zxs+Bbf8ABSGD9oQeOP8AhbXwMbPwguf2mY/iZD4u/wCEZX4mN4w+fwRLHrf9gHw//wAJOu7+zX0VdXDWA+p4XxGHw/8AbHt69Gj7XLZ06ftakKftJv6zaEOdrmk+aPuxu/eWmqPm+I6Fev8A2V7GjVrezzCE6nsqcp8kF9XvOfKnyx92XvOy0eujP7baKKK+VPpQooooA1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qy6ACiiigDU0f/j7m/7Beuf+mXUKy61NH/4+5v8AsF65/wCmXUKy6ACiiigArU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooAKKKKAMzWvEn9hxeGNM+xfav8AhMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xp1ma14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/ALb5XkTfbPM/4RX+z/s/mWu37f8Aa/Pb7L9muNOsKcuariY+15+SpRXs+Tl9hzYaE+Tm/wCXntL+35teTm9n0seji6Ps8FlFX6n9X+s4bHz+tfWPa/2j7HN6+G9v7G7+qfVOT+zvZ2Xt/ZfWrPnuFFFFbnnBWpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFAGXRRRQAUUUUAamsf8fcP/YL0P/0y6fWXWprH/H3D/wBgvQ//AEy6fWXQAUUUUAFamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1AHefDb/mNf9w7/wBv69Qry/4bf8xr/uHf+39eoUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXjfxD/5DVr/ANguD/0rva9krxv4h/8AIatf+wXB/wCld7QBwdfxJTf8Ff8A/gopcf8ABYMfsvS/tD7/AIFr/wAFIYP2ex4H/wCFS/AxcfCC2/aZj+GcPhH/AISZfhmvjD5PBEUeif2+fEH/AAk7bf7SfWm1ctfn+22v82f/AJ2AP+8xH/v6lfVcL4fD4j+2Pb0KNb2WWzqU/a04VPZzX1m04c6fLJcsfejZ+6tdEfNcR169D+yvY1qtH2mYQhU9lUlDng/q94T5WuaPvS913Wr01Z/pMUUUV8qfShRRRQBqa5/yGtY/7Cmof+lc1Zdamuf8hrWP+wpqH/pXNWXQAUUUUAamj/8AH3N/2C9c/wDTLqFZdamj/wDH3N/2C9c/9MuoVl0AFFFFABWpp/8Ax6a5/wBguH/09aPWXWpp/wDx6a5/2C4f/T1o9AGXRRRQAUUUUAZmteJP7Di8MaZ9i+1f8Jl48svDfn/aPI/s77L4B+JXi/7b5XkTfbPM/wCEV/s/7P5lrt+3/a/Pb7L9muNOszWvEn9hxeGNM+xfav8AhMvHll4b8/7R5H9nfZfAPxK8X/bfK8ib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xp1hTlzVcTH2vPyVKK9nycvsObDQnyc3/Lz2l/b82vJzez6WPRxdH2eCyir9T+r/WcNj5/WvrHtf7R9jm9fDe39jd/VPqnJ/Z3s7L2/svrVnz3CiiitzzgrU1D/AI9ND/7Bc3/p61isutTUP+PTQ/8AsFzf+nrWKAMuiiigAooooA1NY/4+4f8AsF6H/wCmXT6y61NY/wCPuH/sF6H/AOmXT6y6ACiiigArU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmoA7z4bf8AMa/7h3/t/XqFeX/Db/mNf9w7/wBv69QoAKKKKACiiigAooooAKKKKACiiigAr+eTRf2bfh18cv8Agrh/wUN8b+OPCt7498QfATwv+yz8SPhD4Sk8Ra/pHh8fFuw+E+n3/hDxPqWl6Tq+maZ4g1PRrnR303SLXxPb6tocNv4g1gXOnTC5JX+huuQ0r4e+AdC8XeKfH+h+B/B+jeO/HMOj23jXxtpXhrRdO8XeMLfw9a/YNAg8U+JLSyh1nxBDodj/AKHo8WrXt2mmWv8Ao9ksEPyVi6UniPbxq1KFSGWZ5gsPXoNRxOExea4Chg8LmGGnL3adfLqlOeKoz0qQrxoVKMoVKbnHVVEqFahKnCtCticoq1qNZOWHxGGy/NaeYYvBYmEWpVMPj8PCWCrU78k6dWrGqpU5cr/iV/Y5tvibr3xd/Zl+Pa/tB/skeF/2n/HX7TNvo3ja71f4j/tjeKf22fiBNJ4w1fTfGHwv+MPwo8PWHxA+F3h/wNrvh2B9Lt9cuPA/gzwra6JpPhhNR+IGj3EOrSzeo694I/YM8Xan/wAFidb/AGlvidF4b/aA+G37Rv7Q/ir9nTw/qPxR8QeDb7SfEk934jl0DxF8LvBVp4j0bSPiH4v8SeMdB0vRPFNq2l+Ir3TtK0HwwblNCtbm11Kb+uzSPgB8B/D/AMRtS+MOg/BP4R6J8W9Ze/k1f4paR8N/Bum/EbVX1WNYtUfUvG9lo0Pia+fUokSK/a61OU3kaqlwZFUAfIvwP/4JwfB/4c+M/wBoTxj8VdK+G37Qlx8Z/wBpTxh+0d4Rg+IPwa8L3s3wg1XxbPBPLo/hy+8R6j4ye41C1ezsmk8U6ZD4Xubx7K1dtLgMEOy1F1I08OlHARp5JmmHp4jCKV8txeLzDg+dKGRtyhXw9SlSyXH4/DTxDoUKWKqSjKdKq6mMzNc6hPFYh82LlWzTKMQ6GJcbZhh8LU4rxGJWcKMHRr0K0c2weWYqnQVSrUwMpKlB0VHLcD/OP+0jqfx2+PXjn9j3wF+1X4q/Z90vw5H+wD8Ofibpll+3l8U/jr8K/hJ4p+Id9cyx+KfG0Ws/A/xR4T13UfjnNo7WWmy6d4o1aWe8006ss+mT61fafCPbbP4VXX7Q+i/8ERfhJ8fPifbfHLwb4y8QftgeH7jxt4J1D40eE08ffCPSNJ0B9K8Lz6x8QvDPwp+LC6Xd6BpbeBL7UJdH0mXVfCKJ/ZuqanaXcWsXn9SPxO+CHwX+NlnpWnfGb4Q/C/4uafoVzcXuiWPxO8AeFPHtno15dxJBdXelWvirSdWg065uYI44bie0SGWaKNI5HZFUDVvPhZ8MdQ1TwFrl/wDDnwHfa38K4by3+GGsXnhDw/c6p8OLfUdOt9H1CDwFqE2nvd+D4b7SbO00u8i8PTaclzp1rb2U6vbQRRL0wqUlXlUqUKcqU8/ebzoWhOFal9b4kxkHXjOnCm8fCOd4TASq06Kw1XB5fNS5aNfD5Zl3M4VFThGnWmqkMirZVCteUJ0qtTKcvyxKk4TlNYH2mEr4+VOpVdf6xiIe7VrUpZhW/ma+J3wd/YZ179s/9rb4Ift5eOl+D/wc/Zm+BPwS8N/sP+F9W+L3ijwHp3gLwBP8OQ3i3xX8HrSfUFHj34hWWuaRo06adeWvj/UfEmvwTWeqeHPGE2lrbaf7PafGb4GfDf8A4Kc/sV/FjxD8drr/AIUf4n/4JqTeG/Anx7/aK1j/AIQfU/iALXxr4mvNM1rxlr3jnRfAPl+IvEmjxW+rNqWt6J4fPiO4v7W6s4Z7jVrNbn93viV8AfgR8Z7zQ9R+MPwU+EnxX1Dwwtynhq++JXw48HeOrzw8l7LbT3i6HdeKNG1SfSVu57KzmuVsHtxPLaW0kod4Iik/xM+BfwS+NUGi2vxk+Dvwr+LVr4blurjw7bfEz4e+EvHkGgz3yW8d7NosPinSNVj0uW8jtLWO6ksVge4S2t1mZ1hjC5Yedaj/AGbUnU56+CxNepiJe+6eO+t5fxRl2MzTEKcpVamd4qlxHCtWqupTw1atl8Y161ehiKFLKNa0aVWeOjGHs6GLwlOhSiow58FGjU4Ur0MFhVFQpQyynX4ZnKNKXPVgszqypUqWIpVsTmX8i1nqXhX4pfsCftRzad8a/AfgTwN8Sv8AgsB401uwk+J6fF/TPgp8a/Dd/pHh3xNovw8+Jni/4TaJceJPAnhPxPt0rxHF4g1zU/Bei2lzodu994q8L3sVpruk7f7N/i/QU/4J6f8ABSb4F2Ov/wDDKcmir8JNX8T+LfAnxn1/9qL9lLw7N8T9V/s7UPD3gDV/glp3xw8feD/DHjnw9plp4R+JqN8R/jlqKyajc3Gta1pNtpuoeFYv6xo/2f8A4DReEfGPgCL4JfCOLwH8Rdcu/E/xB8Ex/DbwanhHx14l1Ceyur/xD4x8Nroo0bxPrl7c6Zp1xd6trdlfX9zPp9lLNcPJaQNHb8HfA/4K/DvwZrXw4+H/AMIPhd4G+HniRtUbxD4D8HfD/wAJ+GfBmvNrdhFpWstrXhfRdJstD1RtX0uCHTdUN9Yzm/sIYrO7823jSMYRpRp4XHYWKUqeJyfJMtpxqPSdTKMq4Oy6NTFThBzdFz4UdWNGFPFUZwxqhLB4Xlx0M12daU8ZhMbL3KmHz3Nc4fs7SVJZpm2b5jUhQjU9ydaNPNnQVSt7CcZYWlUWJrxWGpZd/N9/wRI1/wANeAP2sPjF8GNJ8B+CfDGoeK/hBJ40lvv2YP2moPjt+yxrWi+D/GWl+H9B8TXPhfV/FXxa+IPgj4k6uNU1OaOfxt8W7PV49B1K2026+D/gqS9W6uf6CLnwlpXw61fxFH4fu/E+oL4z8Rav4/1g+OvGvjL4ovZ674iuWXULDwnL8TNe8XSeAvBNuLGH+wvhr4Gfw78OfCxe8bwz4V0htQvzc9p8MPgP8DvgjHrMXwX+DXwp+EUXiJ7KTxBH8MPh34Q8Ax67Jpi3S6c+sp4U0fSV1N9PW9vFsmvRO1ot3dCAxieXfR+If/Iatf8AsFwf+ld7XfXrqtDBx99yw2Ehhp1J8qdVwrYqrGShByhTjCGIjSSjK0nGdRUsNCdLCYbgw9B0JYlpxUK1f20IR53yN0MNSqNzqe/N1alD2tpOcoLlhKviqjrYuvy/9sXf/PHS/wDwR6L/APK+v81jzn/4iB/tGIvM/wCHxvnbfIg8jf8A8Nr78fZvL+zeVu48jyvI2fu/L8v5a/0k6/zZ/wDnYA/7zEf+/qV9Pwl/zO/+xVP/AN2z57ij/mT/APYyh/7rH+lZ/bF3/wA8dL/8Eei//K+j+2Lv/njpf/gj0X/5X1l0V8efVGp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAdNrGq3Uer6rGsWmlY9SvkUyaPpErkLcyqC8sti8kjkD5pJHZ3OWdmYknN/ti7/546X/AOCPRf8A5X0a5/yGtY/7Cmof+lc1ZdAGp/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1l0UAdNpWq3UlzKrRaaANN1h/k0fSIzmPSL6RQWjsVYoWUCSMkpKhaKVXjd0bN/ti7/wCeOl/+CPRf/lfRo/8Ax9zf9gvXP/TLqFZdAGp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAan9sXf/ADx0v/wR6L/8r60rHVbprbWGMWmgx6bE67dH0hASdX0qPEipYqsqbZGIjlDoHCShRJHG68zWpp//AB6a5/2C4f8A09aPQAf2xd/88dL/APBHov8A8r6P7Yu/+eOl/wDgj0X/AOV9ZdFAGp/bF3/zx0v/AMEei/8Ayvo/ti7/AOeOl/8Agj0X/wCV9ZdFADda8cXWiL4W0/8As7TbpvF/jm18MCYafpFumnCHwF8R/GDXrWw0qWO+dz4RXTkic27wjUJLmO52xS2t3rf2xd/88dL/APBHov8A8r65jWvEn9hxeGNM+xfav+Ey8eWXhvz/ALR5H9nfZfAPxK8X/bfK8ib7Z5n/AAiv9n/Z/Mtdv2/7X57fZfs1xp1hTlzVcTH2vPyVKK9nycvsObDQnyc3/Lz2l/b82vJzez6WPRxdH2eCyir9T+r/AFnDY+f1r6x7X+0fY5vXw3t/Y3f1T6pyf2d7Oy9v7L61Z89zU/ti7/546X/4I9F/+V9H9sXf/PHS/wDwR6L/APK+suitzzjU/ti7/wCeOl/+CPRf/lfWlfardLbaOwi00mTTZXbdo+kOARq+qx4jV7FliTbGpMcQRC5eUqZJJHbma1NQ/wCPTQ/+wXN/6etYoAP7Yu/+eOl/+CPRf/lfR/bF3/zx0v8A8Eei/wDyvrLooA1P7Yu/+eOl/wDgj0X/AOV9H9sXf/PHS/8AwR6L/wDK+suigDptV1W6juYlWLTSDpujv8+j6RIcyaRYyMA0lizBAzERxghIkCxRKkaIi5v9sXf/ADx0v/wR6L/8r6NY/wCPuH/sF6H/AOmXT6y6ANT+2Lv/AJ46X/4I9F/+V9H9sXf/ADx0v/wR6L/8r6y6KANT+2Lv/njpf/gj0X/5X1paxqt1Hq+qxrFppWPUr5FMmj6RK5C3MqgvLLYvJI5A+aSR2dzlnZmJJ5mtTXP+Q1rH/YU1D/0rmoA9G8AXkt3/AGt5qWqeX9g2/ZrGyss7/tud/wBjt4PMxtG3zN+zLbNu9s+jV5f8Nv8AmNf9w7/2/r1CgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8b+If/Iatf8AsFwf+ld7XsleN/EP/kNWv/YLg/8ASu9oA4Ov5vbz/g4e+1/8FBk/Yc/4ZB8vZ+11Y/sif8LQ/wCF/wC/P2L4u2/wT/4WF/whX/Ck1x5nkf8ACTf8In/wlp2b/wCxv+Elfb/ax/pCr/Nn/wCdgD/vMR/7+pX0nDuAwmP/ALU+tUva/VsvnXo+/UhyVV9YtL93KPN8EdJXjptq7/P59jcVgv7N+rVfZ/WMdGjV9yE+em/YXj78Zcvxy1jaWu+it/pMUUUV82fQBRRRQBqa5/yGtY/7Cmof+lc1Zdamuf8AIa1j/sKah/6VzVl0AFFFFAGpo/8Ax9zf9gvXP/TLqFZdamj/APH3N/2C9c/9MuoVl0AFFFFABWpp/wDx6a5/2C4f/T1o9Zdamn/8emuf9guH/wBPWj0AZdFFFABRRRQBma14k/sOLwxpn2L7V/wmXjyy8N+f9o8j+zvsvgH4leL/ALb5XkTfbPM/4RX+z/s/mWu37f8Aa/Pb7L9muNOszWvEn9hxeGNM+xfav+Ey8eWXhvz/ALR5H9nfZfAPxK8X/bfK8ib7Z5n/AAiv9n/Z/Mtdv2/7X57fZfs1xp1hTlzVcTH2vPyVKK9nycvsObDQnyc3/Lz2l/b82vJzez6WPRxdH2eCyir9T+r/AFnDY+f1r6x7X+0fY5vXw3t/Y3f1T6pyf2d7Oy9v7L61Z89wooorc84K1NQ/49ND/wCwXN/6etYrLrU1D/j00P8A7Bc3/p61igDLooooAKKKKANTWP8Aj7h/7Beh/wDpl0+sutTWP+PuH/sF6H/6ZdPrLoAKKKKACtTXP+Q1rH/YU1D/ANK5qy61Nc/5DWsf9hTUP/SuagDvPht/zGv+4d/7f16hXl/w2/5jX/cO/wDb+vUKACiiigAooooAKKKKACiiigAooooAKKKKACiiigClqV9FpmnX+pTJLJDp9ldX0scEbSzPFaQSTyJDEgLySssZWONQWdyFUEkCvw4/Yv8AiH/wUz/a20H4Xftq6D+0R8F7D4MfEL4s+IbXWP2P/Enwos9H0Lw98FvDniXXvAms3mi/GvSdF1z4m6l8TYLjQZdb0XSNWjtPDV5rFwt3qmuWeiKfBy/umQCCCAQQQQRkEHggg8EEcEHrX5V6J/wR8/ZZ0H4j6d4rtPFn7Qc3ws0X4mR/GHQ/2Trz4uXc/wCyro3xFg/0m08R2PwwGjpqBls9aL67FZ3fiq606S4kl0W6tLnwhI3hsmF/d5gqtbWh7DDQpTl++pYapTzCVbHutgHyxxzx2Wyjg6DlUh9Wq0XephYYqpjsOYj38BKlS0r+3rTnFfu6mIoyyvFUMLTpYxXlgnhs0nh8ZUnGM3Upq/s8RLDRwOM/LT9sv/gpR+1/8Kvin8V/iN8Gv2hE8f8Aw7+Evx9j+G958Gfg/wDsnXvjr4A+HdD0PXfDmlw+G/2gP2tPH/h/wlrHhn4qePP7Q1S0n8L/AAgbx3pNtq1nFp+k+LtDlvrWWP1/9oX9pj/goNr3x8/4KXaL8Fv2oNB+Dnw0/Yz+Fvw9+MGgeHL/AOCPw18f6/qT3nwnPiu+8BadrWv6FF/Z2keI76PWdR1vxL4ii8W61pd/YeH7Hw9Y2WlXOsxN9geOf+CKf7MHjqf4sWlx8V/2sPDvgb4seNr34m3Hwj8LfGtNP+Engv4m6lruk65f/ELwd4Fu/Cmo6bJ4puBp15pEd140bxlZ2Gj67qMOmWNld2Hhm98P/TF7/wAE/Pg7qHiT9r/xVd+K/ijLqv7a/wAOfD3wy+LBOs+Elt9G0Tw34KuvAtpqPgONfBAfStbudKvJru+n1+TxPp76psmt9MtbQGyblpQxFPLKMOa+Y0MDmNSnKUlOKzPFZJw/DDxq1JKcMVh8PxBhM6r0ZYlVoLDYmhVrUabxGIy3C9NSdGWYzqRilgqmMwEKkYw5XLL8PxBXq1pwpPXD4irw9VpUKscP7OU8XTrUoVKsIYTF1Pzd/Z6/a/8A25Zv2o/2CX+NHxU+Hvjf4Z/8FA/gZ4/+IFp8FfCvwm0/4faF8FtR8K/Dqz8baFcaD4zvNQ8U/EPxXdaultZvqU/iTxBNo6f8JF4gh0/QxBaeHbuy+av2fv8Ago5+2la/tr/DT4W/tWfHa7+Cur+MvibqGneLf2Xfjr+yvpnw2+Ho8H+LfF2reFvBOm/Ab45eCbHxf8SfG2qq32O48LeIPilYfD74falLp15bah8SPFgSKXWf2607/gn78FtP8XfsdeMf7e+It7ffsS/DHX/hP8L9O1DVPClxo3inwx4j8BWvw61GX4lWg8GRza3qZ0K0SaKTw7deE9P/ALQklkn06ezYWK+FeBP+CPf7NPw/8f8Ag7xLpvxG/aa1f4Z/Dn4my/F74d/sveI/jJLqn7M3gfx1He6lqmi6v4e+HY8P2+pwyeG9W1W61LSXvPFN7c3E8ktvr9xren3upWV76sJ4aGa4aqo3y6jic7pOMoOcv7MnxFisTlPNSlKTr4x5FWhRc8T9Y5KvJhMTiMLDDU8YeZOnXll2JpRk1jKuDyaUZqdn/aGGynGYfHKNXajhp5hDLK1VUXRdWMcRiqMMVWlWwmI88/Yl+In7an7RX7U37VeueMP2mLPTv2df2bP2tfjL8ItI+Ddl8G/hpNrPj3RbBLy38P6JqvxHh03T9e8OaL4BEnh/UNNu7Gy1HxN4puLvWbTxB4he2jsTD+ilzaeMtP1fxEPiZr3hjxdJeeItXv8AwM/gXwlqvw6Tw78Obi5b/hGfCviyPxB41+KLeM/G2kMl+dd8f6PL4C0LxELmzXT/AIa+FjYzNqEf7P37MHgH9m/VPjpq/gfV/GGq3P7QXxr8W/HjxmnivUNFvoNM8X+Mvs39qad4YXSPD+hSWXhuD7LH9gs9Vl1rU4tz/aNYusrt6r4h/wDIatf+wXB/6V3tclP3MFleHetXDZVltHFzfvVKuYxwOFWZ1ald3niPaY+Fd06knyOnZ0YUoVJxl11PfxmY11pSr4/FTwsF7sKeBVSmsFCNGNqdBxo+19pGMeeU2pVZ1J8so8v52i/9A/VP/Bxaf/KOv81jMH/EQPu8uX7N/wAPjc+V5yef5H/Da+fL+0eR5fm+X8vnfZtm/wCfyNv7uv8ASTr/ADZ/+dgD/vMR/wC/qV9hwl/zO/8AsVT/APds+U4o/wCZP/2Mof8Ausf6VnnaL/0D9U/8HFp/8o6PO0X/AKB+qf8Ag4tP/lHWXRXx59UannaL/wBA/VP/AAcWn/yjo87Rf+gfqn/g4tP/AJR1l0UAdNrEukDV9VEtjqTyDUr4SPHqtrGjOLmXeyRto8rRozZKo0shUEKZHI3HN87Rf+gfqn/g4tP/AJR0a5/yGtY/7Cmof+lc1ZdAGp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdZdFAHTaVLpBuZfLsdSVv7N1gkvqtrICg0i+MqhV0eMh3jDpG+4iN2WRo5VUxPm+dov/AED9U/8ABxaf/KOjR/8Aj7m/7Beuf+mXUKy6ANTztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6y6KANTztF/6B+qf+Di0/8AlHWlYy6QbbWNljqSqNNiMobVbVi6f2vpQCxsNHQRuJDG5dllBRXj8sNIssfM1qaf/wAemuf9guH/ANPWj0AHnaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdZdFAGp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdZdFADda8U6Roa+FtMGi6lcx+MfHNr4aeQ67awvp723gL4j+L479R/YEq3KFfCkumvaEQEnUo71btRYtaXut52i/9A/VP/Bxaf8AyjrmNa8Sf2HF4Y0z7F9q/wCEy8eWXhvz/tHkf2d9l8A/Erxf9t8ryJvtnmf8Ir/Z/wBn8y12/b/tfnt9l+zXGnWFOXNVxMfa8/JUor2fJy+w5sNCfJzf8vPaX9vza8nN7PpY9HF0fZ4LKKv1P6v9Zw2Pn9a+se1/tH2Ob18N7f2N39U+qcn9nezsvb+y+tWfPc1PO0X/AKB+qf8Ag4tP/lHR52i/9A/VP/Bxaf8AyjrLorc841PO0X/oH6p/4OLT/wCUdaV9LpAttH32OpMp02UxBdVtVKJ/a+qgrIx0dxI5kEjh1WIBGSPyy0bSyczWpqH/AB6aH/2C5v8A09axQAedov8A0D9U/wDBxaf/ACjo87Rf+gfqn/g4tP8A5R1l0UAannaL/wBA/VP/AAcWn/yjo87Rf+gfqn/g4tP/AJR1l0UAdNqsukC5i8yx1Jm/s3RyCmq2sYCHSLExKVbR5CXSMokj7gJHVpFjiVhEmb52i/8AQP1T/wAHFp/8o6NY/wCPuH/sF6H/AOmXT6y6ANTztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6y6KANTztF/6B+qf+Di0/8AlHWlrEukDV9VEtjqTyDUr4SPHqtrGjOLmXeyRto8rRozZKo0shUEKZHI3Hma1Nc/5DWsf9hTUP8A0rmoA9G8APZP/a32O3uoMfYPM+03kV3vz9t2bPKsbLy9uG3bvM35XGzad/o1eX/Db/mNf9w7/wBv69QoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvG/iH/wAhq1/7BcH/AKV3teyV5d48+OHwW+FmteF/DfxO+L/wu+HPiLxxcGz8FaD488f+E/CGteMLtbuzsGtfC+l+INW06+8QXC32o6fZGDSYLuUXd9Z25XzrqBHFrKEFrOpONOnBazqVJ6Qp04q8qlSbTUKdOM6kmmowk00h6RnJ6RpwlUqSekadOOsqlSTtGFOK1lOcoQitZTitTzCvxTv/APggV+x5a/tjp+2lH8Sf2lj8Um/aH079q06A/jH4XHwB/wALDvPH9r8ZJdGGlr8G18Rf8IWvied7CPTv+EqOuDQQtq3iJtQB1Q/0mV89/Azxf+zN5vjj4Xfs/wDxI+F3ibUfDHjv4l+NviH4M8EfE/R/H3iHwr46+KvxQ8Y/EP4jXvinToPEev654auNb+J/ifxjfSaTqK2Fho99Pc6Bo1hpmm6Za6VZdOFxmKwsqsMJXqUp1qE1WhScXOphoNqo5w5KkvYwdRqdRRjCDmlOrByinz4jCYbExpSxVGnVjRrQdKVVNRhiJWdNRlzwj7WSppwhzSnNQbjTlyyth0V6fpvxw+C2s/EjVfg5pHxf+F2q/F7QreS81v4V6b4/8J33xI0a0ht7O8lutV8D2urS+J9Ot4rTUdPupJ7vS4Ykt76znZhFdQM/qNcy1jCa1hUTlTmtYVIqTg5U5q8JxU4yg5QnOKnGUW1KMoroekpQek4NRnB6ThJxUlGcHaUJOMoySnGDcZKSTi1J/L9FfUFFAHznrn/Ia1j/ALCmof8ApXNWXX1BRQB8v0V9QV5d4I+OHwW+JviHxT4S+G/xf+F3xB8V+BriSz8beGfBHj/wn4s8Q+DruK+udMltfFOi6Dq1/qXh64i1KyvNPkg1a2tJUvrS5tGUTwSxoL3pckfenySqckdZ+zg0p1ORXl7ODlFTqcvs4OUVOcHKKY9I8z0jzxp8z0j7Sd3CnzO0faTUZOEObnmk3GErO3CaP/x9zf8AYL1z/wBMuoVl13fx6k+B1v8AD1dR/aI8SeDfCXw08OeOfhZ46fxB4+8b2/w98M6V43+GvxM8JfEj4XaheeJrrW/D9rFNpvxK8JeFNTs9LvNS/s7X7qyi0PVbDVdL1C90u86C6+MHwksfhwnxjvfil8ObP4RSaXaa3H8VLrxv4Zt/hw+i6hcQ2lhq6eOJdTTww2l3t1cW9taX66obS5uJ4YYZXklRWXNFRqTcoqFJwjVk5RUaUqivTVWTajSdRa01UlTdRa01Naj5ZOVOKi3KqpOlFJuVVQdpulFLmqKD0m6caig9JuD0PJKK9G+F/wAffgT8b21pfgv8avhL8Xm8NjT28RL8L/iP4O8ftoC6sbwaWdaHhTWdWOlDUjp2oDTzfeQLw2N4LfzPss+z1qqcZRtzRlG8YyXNGUbxkm4yXMo3jJJuMleMkm4ykk2pUk72afK3GVmnyySTcZWb5ZJSi3F2klKLcUpRb+X61NP/AOPTXP8AsFw/+nrR6+jKKQz5for6gooA+X6K+hPE3ifw34L8P6z4t8Y+IdD8J+FfDunXWr+IPE3ibVrDQfD+haTZRNPe6prOs6pcWunaZp1pCrTXV7e3MFtbxK0ksqICRjfD/wCJPw6+LHhq28Z/Czx94K+Jfg+8uLuztPFfw/8AFWheMvDV1d2EzW1/a22u+Hb/AFLS57iyuFaC7giumltplaKZUcFQL3nNR9501CVRR95041G405VFG7pxqSTjTlNQjOScYOck0h+7yOXuqo5RpuWiqSglKcYN255Qi1KahzuEWpTUE034DrXiT+w4vDGmfYvtX/CZePLLw35/2jyP7O+y+AfiV4v+2+V5E32zzP8AhFf7P+z+Za7ft/2vz2+y/ZrjTrvviH/wpLwR4u8G/HL4peIfCHgfxH4Z0PxV8HvBvjbxr40h8I6VDp3xm8Q/DnW/EHg21j1fWtN8Napq/jDxD8I/h/NpqXVpe+II5vDxsvD09rb6rrltqW18TPjJ8IPgrpNhr3xj+Kvw3+Euh6rqI0jS9a+Jnjnwx4D0nUtWNtPejS7DUfFOqaVZ3momztbm7FlbzSXJtreefyvKhkdco3jKrOdWMqcq1KlBNQiqNR0IP2DnzLmq1m1iIU5NVXCceSnKm4zl01Z0alHB0qOFdKvRw+JliqqqVKjxqljas6WJVJxtQp4XD2wEnTTpTnSlVqVI1nOEfJ6K+mLS8tNQtLW/sLq3vrG9t4LyyvbSeK5tLu0uYlmtrq1uYWeG4t7iF0lgnid4pYnWSNmVgTYraUZRlKMoyjKMpRlGUXGUZRbjKMoyUZRlGUZRlGUYyjKMoyjGUZRXLGSklKLUoySlGUWpRlGSUoyjKLlGUZRlGUZRlKMoyjKMmmm/l+tTUP8Aj00P/sFzf+nrWK+jKKQz5for6gooA+X6K9P8efHD4LfCzWvC/hv4nfF/4XfDnxF44uDZ+CtB8eeP/CfhDWvGF2t3Z2DWvhfS/EGradfeILhb7UdPsjBpMF3KLu+s7cr511Aj+o0L3o88fegpypucdYe0hZzp8yvH2kFKLnT5vaQUoucIKSbHpLlekuSNTlekvZzuoVOV2l7ObjJQny8k3FqM5NNL5z1j/j7h/wCwXof/AKZdPrLrvvht/wAKS8Cax4o+Cnw38Q+ELPxVpuveN/i/4v8AhtZeNIdc8aaPqfxw+Inif4p+LfGGteH9Q1rU/E+jaV4y+IHjXxJrmntcwWmgWzamNK8NwWOjWmn6ba4Fx+1n+ytaeOz8Lrv9pj9n61+Jo8Rw+Dj8Orj4zfDmHx2PF1xfR6ZB4VPhGTxIviD/AISOfUpYtPh0P+z/AO05b6SO0S1a4dYyR9+VOEPfnWUnRjD3pVlCcqc3SjHmlVUKkJ05ulGqo1ITpycakJwgP3Y1JS92NG3tpS92NLmgqkfaylyxpc1Nqovayp3ptVFem1N4FFfUFFAHy/Wprn/Ia1j/ALCmof8ApXNX0ZRQB5f8Nv8AmNf9w7/2/r1CiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/mJ+Onwz+HPx5/aJ/4LoeIPjf4T8O+M9e+BX7Mvw5sPgpfeLbbSNZvfhxZRfBPxl40i1PwLPe20s3he+m8V6dYai99pTWuoLPqV9az3LjVrpJ/6dq/Of8Aab/4JifAD9qX4m3fxV8T+L/jn8N9d8UeGNM8EfFvSfgv8S38BeGfjz4K0a9tbvS/Cnxi0n+xdWbxJpNlDbvpkZ0y60HUJNNuFinv5Z9M0G40njxOHnXm1Fwiq2W5zlqryb5sDWzTD5bSoZlTjFOpOWF+o16NSNB08V7DHVXhqin7SFTrw9eFGN5RlJ0swyTMHSilbGUcpzOWOxOXTlJqnCGPpSVLmrKdBSjavF0+W3lemfEv4kx/8ETofie1/q1r8SoP2A5dbg13+0mXXDqVt8IZEsvFA1S48yUapc2kcGvi7LG4N1MHidZyjj8z/hJ8O/A37P3xA/4Ib+O/gH4I8O+G/HXxk/Zz+MCfFy98KW2laNqfxIhuPgP4X8ZX2peOr2yt4pfEtzo3iXVNT1S2u9fa+eyk02zsgwg0yCGH+gSP9ljwRD44s/EMHi74oQ/Dmy+Bf/DPkX7NMfi9f+GapPBg3W66tcfDF9McTeMU0Vh4YXX31k58OqunNZsQZj88/s1f8EvP2ev2YfijpvxV8L+LPjn8QtU8G6H4g8LfBzw18YviZL478F/AHwr4ovLq51vw78HNFfRtMn8O6dfWt0dJlk1fUPEOotp0bb79r+/1a+1H0cZP65mmb42nOphFmeJnjKeISUsVQhQwfiFlscDUVGUFJZpPijKs7rzw9WGHw+IhjsPVjLEYXAYiPnYem8PleXYKUKeKlgcNicNOjJuOFxE8wp8KVY4m805x/sapkmMwVFOEa9em8JXwcsPSq16dP8AvhN4N8K+H/wBib/gmZ+1p4a8M6PL+1T4//wCCmGmxeM/iXbR6fH8SfHQ8XfFP4saP4k8L+JPFVvCmu6vo+raZo2k29xpN5eS2MYvby5jt4zq1y0/9jdfmZ4G/4JP/ALMXgD46aX8adI1v40Xui+F/iDrXxa8Afs9638SH1H9m/wCGvxR15Ymv/H3gb4bnRobrSvEC3YudQszdeItQ06xurwpaafFZ6boVppP6Z1brQlhIwjSjh3Ux1bGxwVOzw+V0Z5PwvlkMuwtSChTqUY1sjxWKjKlSpU1Tq4T3I154xFThL65Uq87rRjRxFF4up7uIzCdfiHiLOYYnEU9ZU50MLnGHwCVSdSblDFezlHCRwkAooornNAooooA+UP27fE3iPwZ+xb+1V4q8IXl3p3ibQfgD8VdS0TUbC6SyvtOv7fwbq7Q6jZXbq32e6sObu3lQCVJYUMLJNsdfwq+Afwx+HnwM+L//AAQb8XfBHwX4d8MeLfjh8C/ibZfGjUPCtpp2k6n8RdP1D4KeEfFmrap46utMhguvE9xoniDVtW1a2udakvJrSTTLSxjkSLTLeKH+m7X9B0bxToWteGPEem2ms+H/ABFpOo6FrukX8Sz2Oq6Pq1pNYanp17A3yzWt7ZXE1tcRNxJFK6ng1+eP7Of/AAS3/Z7/AGaPiTafE7wt4y+PPjrVPCnh3xJ4Q+Deg/Fn4oS+NvCn7PXhbxZc3k2t6F8FNKfRdOn8M2tza3n9mfaNXvvEWoixiLNfPf32rX2ozhHLDY+pinDmiquXYyEoSjGrWjlmV8ZYOpk0uZfu8PmuI4hwFaddyeGpPD4meJpTqUsHNPFWr4GGGi/e9nm+GlCSfsoyzb/VpYfM21fmq5T/AGNiqlOlCMcROVTDxw1Wk54mS+fP+ChHh7Qfip/wUJ/4Jb/BH4naHpXi/wCDXiXXf2jfF/iLwN4ot9N1fwd4p8VeDvhnDdeFV8QeG9Ut7mx1oadcTSJbW+ow3NpPFql7ZLA32u4WT8vLvwl468Ufsjftmfsa/BSX4ZaH4X8Qf8Fc9Z+C3ws0P4k/EzwP8PfA8Hg2DxNpXjG58D+HofFev6HPrmn6f4g0Hw5cf8IL8NbXXfHGqQ65ft4d8NalKLhF/d3xx/wTe+GHxJ+C3w2+E3jf42/tT+IvFvwf8aap48+Gf7TGofGRpf2oPB2u61qM93qK6V8Uv+EcEB06bT5x4ejsbvw7cxWui2mm/ZTDq2labqtpFP8A8Evv2Xbn9lb/AIZMmtvH8nhf/hMj8Uj8UH8Xl/jg/wAZmne5k+M7+PH0xrZ/iLK8ssb37aCdFNlI2mjQhpuLQTRpxoU60Jc1WEcTUqShRcaMsyjiuMOD+J415yr06tOjicpw2QV8toQxkK9LEypUKdN0svxuIhS0rVHVq0pwtCSw+HpU6lRSnHL6mX5Jx1k/NTjSnTrzp5vV4jy3GV/qtWhWwtOlVdV1sbg8LzeD/wDBNzxpf+Evjn+0/wDsn/En9ln9lH4B/HL4Tab8N/FfiTxl+xv4HTwb8KPid4L8V6dcXvhSO9tr7TLXxV/bPhp9TvPsz+JL2R70atq32DR9HXT7m51r9iq+Pf2Uf2JvhT+yMfiDrHhPxL8VPih8SPixqmman8SvjN8dfHEnxF+K/jRdBtprLw5p2teJTp2j2r6b4fs7ie206K10m1uJIpE/tK51B7Wza3+wq6qs+eGEUpxqV6eCw9LFVYU6lGlVxMHiOaVGjUq1ZUqcKNTCUGlKEKtfD4rFU6OHhjI0Y8lKHJPFOMHTozxdWphqc5wq1aeHdPCwjGrWhTpqpKVWliasOb2k6OGrYTCTrVpYR1GUUUVibBRRRQB+N3/BZJRr3g39in4Ya2DcfDb4t/t7/s/eCfilpU11DBpfiHwhPf6tey6DrcEqkXulXV3awXssLt9mS40+2nnR2ihKZ37BfhnQPhL/AMFHv+CnXwV+FfhjR/B3wY0WL9mTxjpfg/wnZ2Wi+DPCXjDxP8NpZ9cg0Hw3pMNro+iNrzNcT3dvYWluijRraHYqQIq/pD+03+zP8MP2s/hNq3wf+K1vraaJe3+ma9oviLwpqzaB408EeLtCma68PeNPBevC3u10nxLoN0zzWNxcWV/YTRyXFjqenahpt3d2U/zl4E/4Ju/DD4a/Bz4r/C/wZ8bv2qdG8afG3xPofiz4mftPW/xkYftSeJdT8OX9rdaLFcfFMeHBDBYWWn20nh77Lb+HIhcaHqGqw3Tz3+o3WoOsC3hZ4yU4/wASecyXJJXx0M7wPCGXUKeIuk6ccieR5hjaSnKpGtGtQpYNUsRXxXNWLUcTHBwUrKNHLKM3OMmsFPLM8zvOK2KopNyqVMzw+YYfLZKk6UoJ15YqVTC06VOX5zf8Fr/gP4jd/hB+0F4o+Nnj/wAR6Fa/tRfs8+DPhj8DYY9M0P4XfD+31F71vFfie/s7OKXUPG/jvWtT0u4fTfE+rXVm/h7QdY1Lw3b2V7am0urX1f43/Dj4fftEf8FkNP8AhT8fPCfh34hfDHwT/wAE9fEni7wb4R8cWmka94ZsvFXiT4pRaBr/AInsdF1W1uLS216PRiyRao0bahZPpGn6naXFu+mWskP6W/tM/slfDz9q34deBvhp8SfEPj2w0fwD8RfAvxO0vVPCuraHa+INR8ReABdjSY9bvde8N+IrW80+/a9mk1lLews766k2vbahZHfv8/8A2s/2A/hJ+11r/g7xt4h8cfGv4N/EvwTo2u+FNN+KP7PfxAj+HPjzUPAviaGePXvAGu6nc6J4isdV8IalNO13Np82mLdRzNcwW99Dp+qaxZajyyoShhK+EgoVYf2rxDVw3M3Hko51wLiOHKGZuU+ao8XhM4xEsfKnUqSxvsJSlh8TRr4fAwo26ntpqtKU8NWq5JleErVKfLUnSxGXcX4HPHhIKHLRlRllWFlg41YU44WWIt7elVpYnGzq/P8A/wAER9f8Q69/wTi+Ca69Jd3MWgav8T/Cvhu9vbqS8lu/Cnh/4l+KbDQ1jmkZiLTS4I30KxhUiOCz0mCGJVjRQP1jry/4LfBv4efs+fCzwV8GvhToSeG/AHgDRotE8PaUJ57uZIBLLdXd5fXty8lzf6pqmoXN3qeqX9w7TXuo3lzcyENKQPUK9fH1oYjGV6tOU6kJOlFVakeSpX9jhsHhpYipC75KmJnhZ4mcfsyr8tk1JLjw8HCm70qeH56+Mrxw1KXPSwsMXj8wxtLB0p2ipUsHSxtLB05KMYyhhU4RUHBBRRRXGbhRRRQB/MT8dPhn8Ofjz+0T/wAF0PEHxv8ACfh3xnr3wK/Zl+HNh8FL7xbbaRrN78OLKL4J+MvGkWp+BZ722lm8L303ivTrDUXvtKa11BZ9SvrWe5catdJP+y/7Fup/EX4kf8E9f2db6bxPd+E/iZ4s/Zh8EW+n+Or/AE+28WX2j+Ib3wFa2Og+OrzSdXlSz8R3KSf2f4mn03Up0tdWkZrW7lWGeRhw37Tf/BMT4AftS/E27+Kvifxf8c/hvrvijwxpngj4t6T8F/iW/gLwz8efBWjXtrd6X4U+MWk/2LqzeJNJsobd9MjOmXWg6hJptwsU9/LPpmg3Gk/S3hz9nbQfCHxV8M/Efwt8QPi3oHhnwf8ACDTvgz4e+AOmeNfI/Z407RNIvI59K8TxfDf+zGP/AAnmn2MMGg2viQ6zlNCgisTZsVMxnCQjDLHgK/NS9thsswdRUZzUac8oocXyrZpCpRdKqsTnlXPsFRn7NxxWFnTxGJxVapGhhW6xU3PMPrtFRn7LFYvHUnVhFuUcdhuD8FTypwqxqQeGy6WQ4/MG63PhcQqtLDUKEa2KxU3+Ov7AXwhT9nn/AIKpft0eCdW+Jvjr4r6pYfs+fB7xP4v+KPxW1q11DxX4o1/Xk0TXNd1bVL2OCysNN0m0lnaw0HSo1Nt4e8NWGmaU15efYHvrj4p+BM/xS/Zqvvh/+19+0B+zN+wX+0D8Iv2m/wBuDXLiP4p+GbnwT8af2p/AHjb4leOtVi8NeI/CvxX8JXXjb4UTeH/CHiDw3Lquk+HvAeu6tr1prIu9Ou73wrrlxdXelf0keEP2U/h34K/af+L37WWl6x4yufiL8afBXg/wH4q0TUdQ0ObwTY6P4Kt7G20u40HTbfw7aa5bajcx6fCdRl1HxHqtrMzym3s7RWRU+TPBn/BIP9lfwR8W9D+JGn+IPjnqfgvwh8S7r4x+Av2atc+J8l9+zP4A+J1xItzD4y8J/DaPRLa8tNU0+9828skvvEuo2Q897C6tLrR47bTbfTATlRxGRVK/LBYLKsNl2L9lCHsaWHpcX5znONwVDD0VQlF4vJcRl+CyzGYLEYb+zMZTputGrhsLN4rLGQVTD51To80pY3MJ43D+0nNVKtefCWAymhiq9eo60ZqhnsMXjsfhsZh8THMMJLEKiqNfGxjR/U2iiipLCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACvn345ftafsrfswv4bj/aV/aY/Z9/Z5k8Yrqj+EE+OXxm+HPwmfxUmiGxXWn8Nr4+8SaA2uLpDappg1RtMF0LA6jYi7MRu7fzPoKvz7/wCCsX/KMX/goD/2Z/8AtB/+qx8SVMnLmoqLiufFYOjPmUn7mKx2XYFuHK1acHmMKq5rwkqE4NJ1Yzp9uXYWOOx2EwUpyp/XMRRw0akVGXsp16kKcakoStzwheTlCMoTl7qjONm39P8AwT/aN/Z6/aW8Pap4u/Zy+O/wZ+P/AIT0TWH8O614n+CfxQ8EfFXw9pHiCOztNRk0LVNa8C65r2m2GsJp9/Y376Zd3MV6tne2l0YBBcwu/stfl7+0345+MfiH9oT9mL9lz4d/tG+JP2TfDXj39nP9ov47+Ivix4E8KfBbxR498Ra38EL74DeGdA+H+kH4/wDw3+Lvw60/wlbWXxh13x18QtngVfGN9a+GfDsPhzxb4a0yLxS1/wDnfo37Yv7Wf7SHhr4feLF/bW0T9j6KL/gj34G/b319PB3ws+But+H/ABX8Uzq/xCstb8d6i/x08KfEfXdO/Zm+wadoOueOfCmgvo3jgaNqXgdND+LXwy1BfEH/AAmyxWIw2GpYjETlVp4bCvMpV5yh7accJk9LiGeZY9Qw0WpQhLhXO1Qy6M3m1b2OF5MPKOPwlapw5fTxGPw+WVIQpOvmuFyeth6EZygvrWfw4dqZZlzq14xjKpUjxNl/tcdGMsuoONeOInRxFP6pU/ov0Pxj4R8T6j4r0jw14q8OeIdW8Ca9F4W8caXoeuaZq2o+DfE8+g6L4qg8OeK7Kwuri58Pa9N4Y8SeHfEcWkavFZ6hJoOv6LrCW50/VbG4n6Ov5y/hl+3J+11+0HfeDvhxrfxM1n9my/8Aj/8AtsfCr4QXPj7w14E+EVx4u/Z78Kar/wAErvg/+2drHwg+Htj8VvB/jvwVdeOfHPxkvvFXh/Sta+LnhD4uappnhrVfFWi2Ni2sWnhC78Oft9+zfeajN8KtP0zWv2hvD/7UuueFfEvjzwVrXxm0LSfAmhXeuaj4R8b6/oEuheNdJ+GVy3gK0+J/giOxh8F/FA+FdH8FaNd+PNB1+/svhz8OYbpfBOhd2IwVfCzxNKuoQq4SrLDVIxqRrKpiMPPDUMf7OVFSVOjhsViqNKM8S6KxMakZ4WVaPK62UMRRrKlUoOc6denh8RByp1KThh8dg6OPwDqOrGEalXEYadWU6eHlUqYWdKVLFUqc05R0PjZ+0d+zz+zVoGk+K/2jfjx8GfgB4X1/WV8OaF4k+NnxQ8EfCrQNa8QvZXepJoOk6x461zQdO1LWX06wvr9dLs7ma+aysru6EBgt5pE9ftrm2vba3vLO4gu7O7giubW6tpY57a5tp41lguLeeJnimgmidJIpY2aOSNldGZWBPyl+0toel+K1vfDnwv8AHX7NPw7/AGyLr4RfEZvg/wCLvjZ8NtG+L3ibw98K7nWPBFn8Yb7R/AFt8Qvhj481HwBeXsngTTPF19pniqPwXpnii58AX/jbRfFUdppfhnVeQ/4JlHRD/wAE7f2Hh4a8L6/4J8Pp+yr8C4tG8J+KNaHiTXtA02H4c+H4rTTb/wAQLoHhSHWmghRBb6na+FfDFle2pguLHw5oVm8GlWnPQj7Whjak7xqYWvgVT5UvZVsNjpZrSUouV5Slh6+VVKNarCfJ9ZnVwn1aksK8ZiN669nLB8nvQxCxVOspW9pQr4fC4LGU7qLi408XQxjqYaM6UvaYehPE/WlOdPBS+46KKKgQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/4s8JeFPHvhjxB4J8deGfD3jTwZ4t0fUPD3irwj4s0XTfEfhjxNoGr2stjquh+INA1i2vNK1nR9TspprTUNM1G0ubK9tZZbe5glikZD0Fec/EC+vbL+yfsd5dWnmfb/M+zXEsHmbPsWzf5Tpv2b227s7dzYxk5O3k015OMozi12cZwhOLVnGcISi4yhCUHGUoSjOEpQnFqUZQlKMoyTupRlGUZRknqpRlGSeqaepg/GX9nX9n39ozwvpfgj9oT4FfBv47+C9D1i28Q6L4Q+Mvwx8E/FDwvo+v2dleabZ65pegeN9D1zSdP1i107UNQ0+21O0tIb2Cyvry1inWC5mjf59+IH7APwD+L/7Tlp+0J8Zfh38IPjBo3h74OfDf4beAPhh8Tvgx4M8daZ8OvFfw18feP/GmjfFHwfq3ipdYtdB8QxWvjuXw/pi6L4a0vUtFt7GS5tfEMkeoNYWvrX9ua1/0GNU/8GF3/wDHq5TxL8bPA/h26s9G1v4t+FNC1uzsF/tTStV8e6Rpmq2s9xeXt1bf2hY3erQXcEs+mz2NzB9piV5bGa0mj3W8kLHpweBxuMxNJ5dgsbjMXha1bMacMvwmMxdaliamEnltTMHRwOGxVRYiOGxDoQx86Sr4eToujjaNWnh3DkxmNwOBwso5hjMDgcHWowy6+OxeCwWHlhliKONWX0543E4SisPUrYSnVqYGlNUK8KU41cFWouqn6l43/Zz/AGe/iZ4Y+IXgn4j/AAI+DXxA8GfFvxBpfiz4reEfG/wv8EeK/DHxO8VaHY+G9M0XxN8QtA17Q7/SvGniDR9N8G+ENP0vWfElpqWo6fY+FfDdpaXMNvoemR2vdeBvAfgf4X+D/Dvw9+Gngzwp8PPAPg/SrXQvCXgfwN4d0jwl4P8AC2iWSeXZaP4d8M6BZ6fouiaVaR/Ja6fplla2lunyxQovFfKP/DQ/w0/6Ll4G/wDDmaB/8u6P+Gh/hp/0XLwN/wCHM0D/AOXdehHhziOKmo8O8QxVRUVUUcgz6KqLDwdLDqoo5JFTWHpN08Opqaw9NunQVCm3TfBLiXhybjKfEfD05QdVwlPiDIpyg67puu4OWeScHXdGi6zg4us6NF1nVdKk6Xt/xs/Zr/Z0/aW0fRPD37RvwC+Cvx/0Dw1qr674c0P42fCvwL8VdH8P65JayWMms6JpnjvQtestK1V7KWWzfUbCCC7a1lkt2mMTsh9njjjijSKJEiiiRY4441VI440UKiIigKiIoCqqgKqgAAAV8cSftD/C7+y7Pb8cvAP2n7fqXm4+Jnh3z/I+z6V9n8zGt+Z5XmfafJ3fJv8AP2fN5lUP+Gh/hp/0XLwN/wCHM0D/AOXdC4c4jjGUI8O8QxhKrKvKEcgz6MJV5U6dKVeUI5JGEq0qVKlSlWlCVaVKlSpSqyp06dOmnxJw5KUZS4j4elKFP2UJS4gyGUoUud1PZQlLPJShS9pKVT2UJRp+0lKfs+dub+2aK+Jv+Gh/hp/0XLwN/wCHM0D/AOXdX4/2h/hd/Zd5u+OXgH7T9v03ys/Ezw75/kfZ9V+0eXnW/M8rzPs3nbfk3+Rv+by6P9XOI/8AoneIf/DBnv8A85A/1k4c/wCij4e/8SDIf/n4fZVFfE3/AA0P8NP+i5eBv/DmaB/8u6P+Gh/hp/0XLwN/4czQP/l3R/q5xH/0TvEP/hgz3/5yB/rJw5/0UfD3/iQZD/8APw+2aK+F9e/ad+HegeEPHGu2fxa8F+IdU0Xwlqer6PoFt8TdDF/rmp6bJbXlvo+mmLUb64F/qawyWUJtbK8uAJ3KWtwN0T3/APhof4af9Fy8Df8AhzNA/wDl3WSyLPnXlhlkOfuvCjDESpf2DnvPGhUrVMPCq4/2LdQlWo1aafLZyhJJtppdTzfJY4GnmTz3IFgquNr5dTxH+sGQcksbhsHhsfXw6/4XL89PCYzDV305Ksba3Ptmivib/hof4af9Fy8Df+HM0D/5d1f0r9of4Xf2ppv2n45eAfs32+z+0ef8TPDvkeR9oj83zvM1vy/K8vd5m/5Nmd3y5rX/AFc4j/6J3iH/AMMGe/8AzkOX/WThz/oo+Hv/ABIMh/8An4fZVFfE3/DQ/wANP+i5eBv/AA5mgf8Ay7o/4aH+Gn/RcvA3/hzNA/8Al3R/q5xH/wBE7xD/AOGDPf8A5yB/rJw5/wBFHw9/4kGQ/wDz8Ptmivib/hof4af9Fy8Df+HM0D/5d1f1X9of4Xf2pqX2b45eAfs32+8+z+R8TPDvkeR9ok8ryfL1vy/K8vb5ez5NmNvy4o/1c4j/AOid4h/8MGe//OQP9ZOHP+ij4e/8SDIf/n4fZVFfE3/DQ/w0/wCi5eBv/DmaB/8ALuj/AIaH+Gn/AEXLwN/4czQP/l3R/q5xH/0TvEP/AIYM9/8AnIH+snDn/RR8Pf8AiQZD/wDPw+2aK+NdS/aH+F32iP7P8cvAPl/YNK3eT8TPDuzz/wCy7P7TnZre3zftPm+fn5/P8zzP3m6qH/DQ/wANP+i5eBv/AA5mgf8Ay7o/1c4j/wCid4h/8MGe/wDzkD/WThz/AKKPh7/xIMh/+fh9s0V8Tf8ADQ/w0/6Ll4G/8OZoH/y7q/eftD/C77PpXlfHLwD5n2CT7T5fxM8O7/P/ALU1Lb5+3W93m/Zvs+PM+fyPJx+72Uf6ucR/9E7xD/4YM9/+cgf6ycOf9FHw9/4kGQ//AD8Psqivib/hof4af9Fy8Df+HM0D/wCXdH/DQ/w0/wCi5eBv/DmaB/8ALuj/AFc4j/6J3iH/AMMGe/8AzkD/AFk4c/6KPh7/AMSDIf8A5+H2zRXxrH+0P8Lv7LvN3xy8A/aft+m+Vn4meHfP8j7Pqv2jy8635nleZ9m87b8m/wAjf83l1Q/4aH+Gn/RcvA3/AIczQP8A5d0f6ucR/wDRO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/z8Ptmivib/AIaH+Gn/AEXLwN/4czQP/l3V+z/aH+F32fVfN+OXgHzPsEf2bzPiZ4d3+f8A2ppu7yN2t7vN+zfaM+X8/kedn93vo/1c4j/6J3iH/wAMGe//ADkD/WThz/oo+Hv/ABIMh/8An4fZVFfE3/DQ/wANP+i5eBv/AA5mgf8Ay7o/4aH+Gn/RcvA3/hzNA/8Al3R/q5xH/wBE7xD/AOGDPf8A5yB/rJw5/wBFHw9/4kGQ/wDz8PtmivjXTf2h/hd9ok+0fHLwD5f2DVdvnfEzw7s8/wDsu8+zY363t837T5XkY+fz/L8v95tqh/w0P8NP+i5eBv8Aw5mgf/Luj/VziP8A6J3iH/wwZ7/85A/1k4c/6KPh7/xIMh/+fh9s0V8waN43PiLTbbWfD/i467pF5532TVdG1/8AtPTbr7PPLa3H2a+srue1n8i6gmtpvKlbyp4ZYX2yRuo6XR9Y1eXV9Kil1XUpI5NSsY5I5L66dJEe5iV0dGlKsjKSrKwIYEggg15NSnUo1KlGtTqUa1KcqdWlWp1KVWlUg3GdOrSqwpVadSEk4zp1KdOcJJxnCMk4r16dWnWp061GpTrUasI1KVajUp1qVWnNKUKlKrSqVaVWnOLUoVKdWpTnFqUJyi1J+9UUUVBYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFcp438eeB/hn4Y1Txv8SPGXhT4feC9EW1bWvF3jfxFpHhTwxpC317babZNqmv69eWGlaet5qN5aWFqbu7iFxe3VtaxF554o2UpRiuaUoxirXlKSildqKu5OKV5SjFXavKUYq8pRUnGMpNRjGUpN2UYpyk3ZuyjFSk3ZN2Sbsm7WTa6uivJvBHx8+BXxN8T6/4J+G/xp+E3xB8Z+FIp5/FHhHwR8RvB/ivxP4bhtr2PTbmbX9A0HWb/VdHit9RmisJ5NRtLZIr2WO1kKzusZq6d+0V+z7rHxJufg1pPx1+DmqfF+zutQsbv4U6d8TvBN78SbW90q0lv9Us7nwNba3L4ngutNsYJr3ULeXS1ms7SGW5uEjhjdxXLLmhDllz1YTqU4cr56lOmpOpUpwtz1KdNQm6k6cKkKahNznBQm4TzR5Zz5lyU5QjUndclOVRQdONSd+WnKoqlN04zlCU1UpuEZqpTc/Y6K+fNe/a2/ZU8LXN9Z+J/wBpr9nzw5eaX4q1TwJqdrr3xn+HGkXOneN9D+z/ANteDb6DUPElvLaeKtI+12v9qeHrhY9X0/7Tb/a7OHzo91OP47axJ+1a/wCzkPCPg4+Hl+B3/C3V8eL8a/AD+OX1M+MIfDA8N/8ADPyv/wALLXwybWU6iPioU/4Q7+0FXw3v/tWRBSh+8dJU/fVaNaVKcdaU1h8H/aFW1Vc1K6wfLXglNurCdN01KNWnUm5/u41ZT932MYSqRlpUjGpiqWCi/ZPlqNfWq9OjJqFoS5udp05wX0fXl/xJ/wCYL/3Ef/bCqfgv9oD4D/Ejxf4g+H/w7+Nnwj8e+PfCY1A+KvBHgv4keDfFPi/wyNJ1KPRtVPiDw1oes32s6MNM1eWLStQOo2VsLLUpY7G58q6dYjc+JP8AzBf+4j/7YULWMJrWFWEalKa1hUpz+CpTmrwqU52fLUpyqU5WfLOVgekpwek6cnCpB6Tpzj8UKkXaVOcftQnGE11gjy+vwx/bF/5OO+Iv/co/+oJ4Yr9zq/DH9sX/AJOO+Iv/AHKP/qCeGK/pb6LH/JwM3/7JHHf+rfJT+ZvpVf8AJvsn/wCyvwH/AKqM6PmWiiiv76P4ACiiigAooooAKKKKAEJwCfQE/kM0tITgE+gJ/IZpa8yFe+dYjC/XubkybBYn+zPq1vY+1zbMcP8A2l9ct+8+s+x/s/6pzP2P1L61ZfWLv3amE5eFsHj/AOyeT2vE2aYH+3vrvN9Z9hw7kuN/sP8As3m/dfUfrX9s/wBo8q+s/wBp/wBn8z+p8sSiiivTPCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD9zv2Ov8Ak3H4df8Ac3f+p34nr6u0P/kNaP8A9hTT/wD0rhr5R/Y6/wCTcfh1/wBzd/6nfievq7Q/+Q1o/wD2FNP/APSuGv8AKHxF/wCTgccf9ldxH/6t8Wf6y+HP/JvuBv8AskOHP/VRhD6Mooor40+zCiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8qf8Agttj/h2J+07nJH2L4YZAOCR/wuj4dZwcHB98HHoa/Vavn79qX9m/wP8AtcfAnx3+z38SNV8V6J4L+IUWgw61qfgi+0jTfE9qvh7xPoviuyOl3uvaF4l0qFpdR0K0hujd6Leh7KS5jiEE7xXMPFmFCpicJUo0lF1JVMJOKm0otUcfl+JnzNpq3s8NV0a952hpz3XZl1enhsdhcRVclTpVeebjFyko+yxMNIppt81WGia0u+mv87Hwj1b9mf4hftkfsA3P/BPn4F674O8cfs6fC/4k6t+1/pWhfCzXvhNrehaSfhZY6XpHw/8Ai7qOoeGtJi8Z/ETWvE8eq+H4vELXXiKPV9Z1aOQeIdVjn+1ab+d/ww8V+B/Gfxi/YW8c+F4/ht8HvE/hv9uT4d6F8Wfgt8Nf2ZviTpniX4PaprXxa8T3+kXXxw/bQ+LmpeIviZ8SPHfxBittb08fDu48aT+FLHS9Ev57XQdGk8IXVin9z/h3Q7Twz4f0Lw3YSXE1j4e0bTNDspbx4pLuW00mygsLaS6khht4XuHht0ad4oIImlLNHDGpCLs17Tr06Wbwx1JzrUsPmmPzGipp0nKeM4mxWdVIUIPnWEwNXCToYWll8/rCwNT2mIov29bEzPIjRnUyqeBqKNGpiMrwuXVXFqtaNDh2rk8KmIqNRljMdh8Ti8RiP7Qj9XniqVOhQq2hToun/JTb/AH4J+Pvgp/wXw+Kfjf4WeBvFvxI8F/tB/tFDwX448Q+HtO1fxR4MPhxdc8R6VJ4Q1m+hmvfC86azdzXV9caDLp8+rp5NnrEl/Y21vbRb/w90z4leN/iV4X0b4bXOq3vxV8T/wDBuh4f03wfNbXNw+u3/irUrrRbbS4NPvTdQXKazfXcsdrpt39rikgv5recTIY9w/q3oryoYeMcBHAOUvZrJMBk7cFGK5sHwbnHCVXFqk70+bFvNY4+tTkv3kcPLBV61eOIeIo+nPEOWKeLUI+1/tLHZh77cm44riDhLPaOGlUSVR08I+F3hqUlK0JY5YqhSo1MIqeJ/mt/4JweOf8Agm/qWvfsUfDX4Y/s2+OL39uX4TeBtX0H4s6/4B+FHi74e6x8F/Gdn4Wh8MfFzxJ+0v4qv9V8B6R4t0TVdb/tbR9GXXZPifPo+p6lB4d0zQ/Dmt6tZ6Rcfuz4k8H6T4U8X+IfG+l3fim61r4i/wBk/wDCQWXiTxz428ZeENP/AOER0uDSNK/4QT4feL/EGueAfhd9rtLmSXxP/wAKy8NeEf8AhNtUWDW/Gf8Ab+tWttfw+815f8Sf+YL/ANxH/wBsK9HEYmWJftJwjCpOtisTVhSbjhYVsZXjiKtPBYbVYXCwnF+zp81So+ZOrN+xonBQw6oe7CTnThSoUKUqiUsRKnh/rPJLE4hWdeq1iXG6jGlTjTSpK1Soo8H/AGxd/wDPHS//AAR6L/8AK+vwi/bMme4/aT+JE0giV3/4Q/Ihggtoht8BeFlG2G3jihThQW2RrubLtl2Zj+5Nfhj+2L/ycd8Rf+5R/wDUE8MV/Rv0WP8Ak4Gb/wDZI47/ANW+Sn82/Sq/5N9k/wD2V+A/9VGdHzLRRRX99H8ABRRRQAUUUUAFFFFACE4BPoCfyGaWkJwCfQE/kM0teZCvfOsRhfr3NyZNgsT/AGZ9Wt7H2ubZjh/7S+uW/efWfY/2f9U5n7H6l9asvrF37tTCcvC2Dx/9k8nteJs0wP8Ab313m+s+w4dyXG/2H/ZvN+6+o/Wv7Z/tHlX1n+0/7P5n9T5YlFFFemeEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH7u/sZ6lcW/7Nnw3hjjsGRP+EwwZtK0u5lO7x74pY7prizlmfliF3yNtXCLhFVR9Y6Pqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAI+P8A9jr/AJNx+HX/AHN3/qd+J6+rtD/5DWj/APYU0/8A9K4a/wAofEX/AJOBxx/2V3Ef/q3xZ/rL4c/8m+4G/wCyQ4c/9VGEPoyiiivjT7MKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvL/AIk/8wX/ALiP/thXqFeX/En/AJgv/cR/9sKAPL6/PH9oDwb+xDf/ABR1zUPiv+094N8AfEa+tdGl8U+DdV+NXwj8K3+hTw6RZ2ekR3Hh7xJavrumf2j4btdF1mJNRd3u4dSj1G1IsLy0Vf0Or+KX/grf/wApCP2gf+6U/wDqkfhtX6l4SUs3q8R42OS8R5pwzilk2IlUx+Uxwc8TVofXMCpYSaxtDEUvYzqOnVk4wVTno07SUeZP8u8Wp5PDhzBPO+HMr4nwrznDqngM2ljI4alX+p47lxcHgsRhqvtoU1UpRUpunyVql4uXK1+8n/CB/wDBOD/o874e/wDiRPwI/wDkOj/hA/8AgnB/0ed8Pf8AxIn4Ef8AyHX8ftFf0T9S4+/6O5xt/wCCcg/+dZ/PH1jw/wD+jR8E/wDg7P8A/wCeh/YY/wAP/wDgmyLK3mX9tL4em5kuryKWH/hoz4CnZBDFYvbyeWLLzF82Se5XexKP5O1AGjkJq/8ACB/8E4P+jzvh7/4kT8CP/kOv4/aKPqXH3/R3ONv/AATkH/zrD6x4f/8ARo+Cf/B2f/8Az0P7Av8AhA/+CcH/AEed8Pf/ABIn4Ef/ACHVpPh//wAE2TZXEzftpfD0XMd1ZxRQ/wDDRnwFG+CaK+e4k8s2XmN5UkFsu9SETztrgtJGR/HnRR9S4+/6O5xt/wCCcg/+dYfWPD//AKNHwT/4Oz//AOeh/YF/wgf/AATg/wCjzvh7/wCJE/Aj/wCQ6P8AhA/+CcH/AEed8Pf/ABIn4Ef/ACHX8ftFH1Lj7/o7nG3/AIJyD/51h9Y8P/8Ao0fBP/g7P/8A56H9e2reCv8AgnhaeHfE+o6J+1h4P8V+ItL8P32oeGvCOjftD/A+bV/FuvQNCNO8M6VbWmjalfXepazI5srG3sLC9vJLqSIwWl0ym3luf8IH/wAE4P8Ao874e/8AiRPwI/8AkOv5HfCehf8ACUeKvDPhn7V9h/4SLxBo2hfbfI+1fY/7X1G20/7V9m863+0fZ/tHneR9og83Z5fnRbt68/XJGjx28wq4X/iMfGjnDAYfFPC/VMiUoQq47FYaOJdf+y+SUas6EsOqK9+EqLrS9ypE9WdPgGOQ4bH/APEFOC4wq55jsCs0+v5441p0MmyzGyyxYL+1eenLCwxUcxeMa5K0casJFueHkl/YF/wgf/BOD/o874e/+JE/Aj/5Dq1Y/D//AIJsz3tnDc/tpfD2G2mureK4m/4aM+AsflQSSoksnmSWRjTZGWbe4KLjcwKgiv486K6/qXH3/R3ONv8AwTkH/wA6zyvrHh//ANGj4J/8HZ//APPQ/sC/4QP/AIJwf9HnfD3/AMSJ+BH/AMh0f8IH/wAE4P8Ao874e/8AiRPwI/8AkOv4/aKPqXH3/R3ONv8AwTkH/wA6w+seH/8A0aPgn/wdn/8A89D+wL/hA/8AgnB/0ed8Pf8AxIn4Ef8AyHVq++H/APwTZgvbyG2/bS+Hs1tDdXEVvN/w0Z8BZPNgjldIpPMjshG++MK29AEbO5QFIFfx50UfUuPv+jucbf8AgnIP/nWH1jw//wCjR8E/+Ds//wDnof2ceA/2ef2Jvinq9z4f+GP7R9n8Rtfs9Nm1m70PwH8X/hL4v1e10i3urOyuNVudN8P6JqN7BpsF7qOn2k19LAtrFdX1nbvKstzAj+s/8O/fg1/0M3xN/wDBz4V/+Yyvwb/4IQf8nd/Eb/s3Dxf/AOrO+EFf1l1+OcbeIPibwpn1TJ8P4jcT4ylDB4LEqviJ5bSqOWKp1pyg4UMpdPlg6aUWnzNN82qR+wcF+HfhhxTkVPN8R4ccL4OrPF43DOhh4ZlVpqOFqUoRmp183VTmmqjck1yppcujZ8S3/wDwT1+C9rOkUfif4oFWstOuCX1rwoTvvNPtbuUDb4KUbFkndYxgkIFDMzAsaX/Dv34Nf9DN8Tf/AAc+Ff8A5jK++9Y/4+4f+wXof/pl0+suvkv+IyeKn/RecQ/+D8H/APOg+r/4gz4Vf9EFw9/4T4z/AOfB8Mf8O/fg1/0M3xN/8HPhX/5jKu3X/BPX4LwQadKnif4oFryykuJQ2teFCFddQv7QCPHgoEJ5drGxDFjvLncFKqv21WpqH/Hpof8A2C5v/T1rFH/EZPFT/ovOIf8Awfg//nQH/EGfCr/oguHv/CfGf/Pg+BP+Hfvwa/6Gb4m/+Dnwr/8AMZR/w79+DX/QzfE3/wAHPhX/AOYyvueij/iMnip/0XnEP/g/B/8AzoD/AIgz4Vf9EFw9/wCE+M/+fB8Sp/wT1+C7afdXZ8T/ABQ8yC9sLdFGteFNhS6g1GWQsP8AhCixcNZxBCGAAaTcrEqVpf8ADv34Nf8AQzfE3/wc+Ff/AJjK++4f+QLqH/YU0f8A9JNcrLo/4jJ4qf8ARecQ/wDg/B//ADoD/iDPhV/0QXD3/hPjP/nwfDH/AA79+DX/AEM3xN/8HPhX/wCYyrtr/wAE9fgvPBqMr+J/igGs7JLiILrXhQBnbULC0Ikz4KJKeXdSMApU7wh3FQyt9tVqaf8A8emuf9guH/09aPR/xGTxU/6LziH/AMH4P/50B/xBnwq/6ILh7/wnxn/z4PgT/h378Gv+hm+Jv/g58K//ADGUf8O/fg1/0M3xN/8ABz4V/wDmMr7noo/4jJ4qf9F5xD/4Pwf/AM6A/wCIM+FX/RBcPf8AhPjP/nwfEth/wT1+C91PJFJ4n+KAVbLUbgFNa8KA77PT7q7iB3eCmGxpIEWQYBKFgrKxDCl/w79+DX/QzfE3/wAHPhX/AOYyvvvR/wDj7m/7Beuf+mXUKy6P+IyeKn/RecQ/+D8H/wDOgP8AiDPhV/0QXD3/AIT4z/58HC/DX4faN8LPBWi+A/D9zqd5pGhf2j9kudZmtbjUpP7T1a/1m4+0zWVlp9q+y61CaOHyrOHbAsSv5kivK/p2h/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNfnuNxuLzHGYvMMfiKmKxuOxNfGYzFVnF1cRisTUlWr16rjCnF1KtWcpzcacE5SdoRWi/Q8FgsJluDwmX4DD08JgcDhqGDweFoqSpYbC4anGjQoUlKdSSp0qUIwgpVJtRirzk9X9GUUUVzHUFFFFABRRRQAUUUUAFFFFABRRRQAV8v/ABQ/ay+Hnwn/AGhfgL+zVr+g+OtT8e/tFaX8SdV8Dah4f0vQ73wxYQ/C7w6/ibXoPEl3e+I9N1m1u7+yQ2+hxaRoOtrdXzLFeSafCftA+dP+CvnjD4neBf8Agnf+0X4k+Euoa5o/ie20TwzZ3+t+Gp7u217RvBureN/DeleONQ025sYpLq1Mfha81WG+vYTA+naVNf6gLu0Nr9oj/FH4ceAP2D/hx/wUQ/4Jv6J+wt8Q7bxd4f1P4T/H3xP8RtE0n4oar8SdN0vxPq3wC8Q21n4n1+3vtc1ez8D/ABM8X2mmTW3jrwnp1p4cFnF4Y8PJceFtDjgsorjm9tKUsU17tPByxNKcYctTEVKkeDuLuJKdR0ml9XwUJ5LgqSxs/awq4uFfBTpwozqVDapTVPDc+9Wtg8TiaMpXhQpLC53w3lUoymr+2xVT+1684YNezf1dLE+0c4U4v+oD4H/Ff/hd3wz8P/Er/hWvxZ+EX/CQS6zF/wAIB8cPB3/CA/EzRP7G1zUdE8zxB4V/tHVv7Ni1X+zv7X0Z/t8327Q77TtQxF9q8lPWa/iO17RLDxV/wTI/4JuaDqXxC+DsVva+Lf2vPElr8Af2jPEnxa+GfwX+OWs6Z8QvG9vpRvPi94B1TwD4Q8I+NPBwvbxfC8HxG+M3ws0i9n8TNGniE2c2qaTrPrOh/FmC/wD+CYnwz+FkDfEv4T/s+aR/wUT8LfAH9qXVLb446f8AFbwdpfwW8RWaax8RdC+G3xZ8CaJBZJ8BbvVtWljsrJNY8ax28dza2d18RPiDB4ha6vvRqUlLEY+hR9nTnhszy/LqKrVXGhbHY/IsseKxWJmrUaFKvnCq1HCVWpTfsMHUpU8Ti8NOHNOXsnSc/aTpzo55iKrpU1KrBZWuLMTQwuHoJ8+IxGJw3DU6VHnVONWdT20a044fGQl/YxRX8x/xfvf2Yv2av2P/APgoNoX/AASk+PvxA1vUtK8P/CDxT468G/C/x54t+KXwp+B3h/Xtc0fw/wCLfG3wn+J39h+Irey8WeKvBqa9d+N7uy+LXibXtHttCu9ThTwtD4Jtxo/PfCvw7+yj8Cf2wf2KfD//AAS6+I0fjPTPjF8NviaP2vvDfhH4qa98TNB1v4faD4AstQ8OePPi9p9/rWr2nw+8eaZrupavd6dpDaX4Qnstfn/sKLw/4fTVJtL1XjqVYxhWqxjUcKdOEacZw5azxU+HuIOIPaVacbqnk0YcP4jByziDnSderKcaLp4DGxnq4uKipOnzv61VlyzvSWHwmYZBgJ0lUkk1mtX/AFgoVsPlk4qVWFGyq2xuCkv6ka8k+PPxq8E/s5/B34ifHH4jPqq+C/hn4ZvvE+ux6HYf2prV5BabIrbTdIsWmtYJ9T1W+mtdNsPtt7p+mx3V1FNqepadp0d1fW/8afwc/Zo8E237Hv8AwTj/AGgPC+ufEvwp8dPi3+3jB+z/AKp8RvDXxW8f+GdW0D4S+MfGnxG8Ma34G8Froet2th4M0rUIv7T1G+vtA0+31y71HxL4le81K6stVewT274qfs//AAs8B/DH/guJ+zt4a0PVLX4M/s4+Iv2bfi78FPA934u8YanYeBPiH4h8K6rZav4ks73UddutW1a7v9PvP7PvI/EV/rFtfWtlpQv4bqbStPmt1mPtcNhMynCcYV8FhcyrKTpqrBzyqlwPjcY4xcqanGOX8cYFUOZw9tmGFxVCapYNUMXV1w0ac8XhITjKpQrY3CYeVp+ynKGKzji/IqeqU3BvMuE6nteVt08vxscRCU8VS+rH9TH7M37QVj+058LNP+LGl/Cr40/CDSdW1C6tdK8N/HfwXaeA/GmpabDbWV1Z+J7LRLLXvEUM3hfWob5X0LVhqAXU44J7iCH7Kbeef6Br+UvxB8Ev2TdC+Pn7GH7LP7VGqJ8K/wBgZf2JR8bPh54O8X/F7xv4A+EXjX9qDxXrUuoeOtW8UfEC+8SaZcjxDZaP4g1PU9L0258dabb6G93pGkaKtjY+LpfDviTwbxImrfEj9kXwp8I9K8aeM9f/AGXfD/8AwWY+H/wd/ZQ+ItzrurTeIE+CIsPGui2tl4I8VzzLqd94a8IfaEh8FeI4L2R7a5e7srOWzTR4tOsPQr0E8wngsNFRlLMZYDD89SVSlT+r8YUuB8S8fiIwvhcZPMlXzLD4NUpSr5dZU1Trzo0o+fh6r+p0cViJXi8BSx9dwpxp1JQxnCWb8aYVYKhKdsVRo5dl0MBjq3tY/VcbVhKU6tKNWpU/q51r9or4Z6H+0J4K/Zhub3VZ/i145+H3iT4o6dpdrpFy2laf4K8NahDpM+q6trc5t7FJdQ1SSex07TtPfUtRMlncT6ha6fZvZ3N10nxJ/wCYL/3Ef/bCv52fFn7E/wCwN+zR/wAFcv2T/BMfgTwr8KPhvcfA+X4heDIfEXxO8daXp2qftC+Fvigf+FdXFr4h8T+OXvNa8TGezs7bT/C93qt5Y+I7kWljeaNqs9xBBL+/viTw/q2h+L/EPiXVPHPinxlovi7+yf8AhH/h94ktPBNr4Q+F39gaXBYar/wgl74Q8H+FPH2of8JtdzR634n/AOFm+N/iL9k1S1gi8Gf8IjorXOkXPNS5KmX4XFRlOU62MzvD1LwUIRWXZs8DRglGdTkqKlBynCcvaVITpYpqnGvClT3qc9PG1sO4xjCng8oxEfecpuWOwDxVSSvGHPScmkpxShSqxnhE6jhKtLmK/il/4K3/APKQj9oH/ulP/qkfhtX9t39oWn/QD0v/AL/a1/8ALiv4lv8AgrrIkv8AwUN/aDkjgitkb/hU+IYTO0SY+CHw1U7TcTXEx3EF23zP8zELtTaq/r3gp/yVOP8A+xDif/U7Lj8k8Z/+SXwH/Y9w3/qDmB+blFFFf1AfzIFFFFABRRRQAUUUUAdB4T0L/hKPFXhnwz9q+w/8JF4g0bQvtvkfavsf9r6jbaf9q+zedb/aPs/2jzvI+0Qebs8vzot29efroPCehf8ACUeKvDPhn7V9h/4SLxBo2hfbfI+1fY/7X1G20/7V9m863+0fZ/tHneR9og83Z5fnRbt68/XDGrfNK2H+t83LlmFr/UPYW9n7TMcbR+vfWbe/7f2X1L6tf939V+sWXtrv2J4a3DuFxv8AZvJ7TiDMMH/bP1vm9v7HIspxf9kfUL/uvqf1j+1fr3Kvb/2h9S5n9V5UUUUV3HjhRRRQAUUUUAftb/wQg/5O7+I3/ZuHi/8A9Wd8IK/rLr+Tz/ggxNHB+198R3ltbe8U/s2+L1EVw10qKT8T/g8RIDaXNrJvABUBpCmGbKFgrL/Wv/aFp/0A9L/7/a1/8uK/k/xg/wCS2xH/AGKsn/8AUfFH9VeEX/JF0P8AsaZv/wCpGFDWP+PuH/sF6H/6ZdPrLrptVvrVbmINo+myE6bo7bnl1cEB9IsXWMeXqsa7IlYRRkqXKIpleSQvI2b/AGhaf9APS/8Av9rX/wAuK/Lz9OMutTUP+PTQ/wDsFzf+nrWKP7QtP+gHpf8A3+1r/wCXFaV9fWq22jk6Pprh9NlZVaXVwIgNX1VPLj2aqrFCytKTK0j75HAcRiOOMA5mitT+0LT/AKAel/8Af7Wv/lxR/aFp/wBAPS/+/wBrX/y4oAIf+QLqH/YU0f8A9JNcrLrpor61OkXz/wBj6aFXUtKUxCXV9jlrbWCsjE6qZA8YRlQJIqESyeYkjCJo83+0LT/oB6X/AN/ta/8AlxQBl1qaf/x6a5/2C4f/AE9aPR/aFp/0A9L/AO/2tf8Ay4rSsb61a21gjR9NQJpsTMqy6uRKDq+lJ5cm/VWYIGZZQYmjffGgLmMyRyAHM0Vqf2haf9APS/8Av9rX/wAuKP7QtP8AoB6X/wB/ta/+XFABo/8Ax9zf9gvXP/TLqFZddNpV9atcyhdH02MjTdYbckurkkJpF87RnzNVkXZKqmKQhQ4R2MTxyBJFzf7QtP8AoB6X/wB/ta/+XFAGXWpof/Ia0f8A7Cmn/wDpXDR/aFp/0A9L/wC/2tf/AC4rS0e+tX1fSkXR9NiZtSsVWWOXVy8Za5iAkQS6rJGXQncokjkQkDejLlSAe9UUUUAFFFFABRRRQAUUUUAFFFFABRRRQBWvbKz1Kzu9O1G0tr/T7+2nsr6xvYIrqzvbO6ieC6tLu1nSSC5trmCR4Z4JkeKaJ3jkRkYg+HeEf2Vf2X/h/qGh6t4C/Zv+AvgjVfDF5r2oeGtT8I/B/wCHvhvUPD1/4q0m10HxPfaHe6N4dsrnSbzxHodlZ6Lr1zYSW82saTaWunag9xZ28UKe9UUrK8nZXnD2c3ZXlTtVXs5O15U7V665JOULVqy5LVqyqttuPK23FS5lFtuKl7nvKLbipfu6fvKKl7kPe9yHJ4rffs2fs66p8OdM+D2p/AP4K6j8JNF1KTWtG+Ft98LPA138OdJ1ia61C+m1bTPBFxoUnhmw1KW91bVbyS/tdMiunutT1C4aUy3ty8nSaf8AB74SaT8OJfg7pXwt+HOmfCOfTNS0Sf4Waf4I8M2Xw4m0bWJrm51fSJfA9tpkfhmTTNVuLy8n1KwfSzaX013cy3UUrzys/o1FOXvKqpe8q7hKupe8q8qcYxpuupcyrOEYxjB1lVcIxjGDhGMYxE2nCSbUqTqOlJNqVJ1ZSnVdOSalTdWc5zqum6bqznOdR1JznOfnnw7+EXwn+EPh268IfCf4YfDz4YeE76+utUvfC/w78FeG/BXh281O9t7ezvdRutE8NaZpmm3F9d2lpaWt1dzWz3Fxb2tvBLI8UMarh/Db9nr4BfBqTXZfhB8D/g/8KZfFEFtbeJpPht8NPBfgaTxFbWbXTWdvrr+F9F0ttXgtWvbxraLUDcRwNd3RiVDPLv8AX6KJe85yl70qlJ4epKXvSqUHHldCpKXNKpQcUouhNzouKUXRcUoqUkoqKSUY1VWjFJKMayfMq0YpKMayk3JVoxjVUm5KqpNyfkFj+z38AtM8OeEPB2m/A/4Qaf4R+H3iuHx54C8LWPw08F2nhzwR44try51C38Z+ENDg0WPTPDXiu3v728vofEWjWtlq8V5d3Nyl4s08rvZ1H4D/AAO1eT4jS6t8GfhTqkvxii0mD4uSaj8O/CF7J8U4dBjMOhw/EZ7nR5W8bxaNCzRaTH4mOppp0ZKWYhUkV6tRRL31JT95TVSM1L3lNVY4eFVTUuZSVWGDwcKqkpKpDCYSNRVI4XCxw1JtNNNpxcZRabTUo1a1eMk001KNbE4mtGSalGtiMRWjKNbEV6tfy7x18D/gt8UPC2i+BviZ8IPhd8RPBPhuayuPDvg7x14A8J+LfC2g3GmWE2ladPovh7X9J1DSdLm0/S7i402ylsbSB7Swnms4Gjt5Xjae8+DHwe1Hwz4L8Fah8J/hrf8Ag34banoOt/DvwleeBPC914Z8A6z4Wilg8Mav4L0GfSn0rwtqfhyCeaHQb/Q7SxutIimlj0+W3SRwfSqKfNLmlLmlzTrxxM5cz5p4mEueGJnK/NPEwm3OGInKeIhJuUK8ZPmJ5VaEbLlp0p0KcbLlp0KkHTqUKcbcsKFSm3TqUYRhRqU26c6M4Nwfm3jf4M/B/wCJms+EvEfxI+FPw2+IPiHwDfnVfAmveN/AvhfxXrPgrUzdWN6dR8Japr2l3994cvze6Xpl2bzR57O4N1p1jcGTzbS3eOD4k/8AMF/7iP8A7YV6hXl/xJ/5gv8A3Ef/AGwpLSPItIc86nItI+0qcvtKnKrR9pU5Y+0qcvPPljzznyx5W9ZKT1koRpqT1kqcHKUaak7yVOMpzlGCkoRcpOMIuUnLy+v4pf8Agrf/AMpCP2gf+6U/+qR+G1f2tV+Ln7X/APwRx/4af+P/AIz+Pv8Aw0Z/wg//AAse18L3P/CJ/wDCov8AhJf7G/4RXwro3gHZ/bv/AAs/w/8A2j9v/wCET/tbd/Y1j9l+3/Ydtx9l+2XP6R4X5/lPDuf4vG5xivqeGq5TXw0KnscRX5q88Xg6sYcmGpVZq8KVSXM4qK5bOSbSf5z4nZDmvEOQ4TBZRhfreJpZtQxM6ftqFDloQwmMpSnz4irSg7Tq048qk5PmulZNr+Sqiv6PP+Ifn/q7b/zAv/456P8AiH5/6u2/8wL/APjnr94/4ilwL/0PP/Mdmn/zEfhf/EMOOP8AoSf+ZHK//mw/nDor+kZ/+DfDZZW95/w1znz7q8tvL/4UHjZ9kisZd+//AIXSd3mfbdu3aNnl53NvwlX/AIh+f+rtv/MC/wD456P+IpcC/wDQ8/8AMdmn/wAxB/xDDjj/AKEn/mRyv/5sP5w6K/o8/wCIfn/q7b/zAv8A+OerSf8ABvhvsri8/wCGuceRdWdt5f8AwoPO/wC1xX0u/f8A8LpG3y/sW3btO/zM7l2Yc/4ilwL/ANDz/wAx2af/ADEH/EMOOP8AoSf+ZHK//mw/m5or+jz/AIh+f+rtv/MC/wD456P+Ifn/AKu2/wDMC/8A456P+IpcC/8AQ8/8x2af/MQf8Qw44/6En/mRyv8A+bD+ePwnoX/CUeKvDPhn7V9h/wCEi8QaNoX23yPtX2P+19RttP8AtX2bzrf7R9n+0ed5H2iDzdnl+dFu3rz9f0P+L/8Aggn/AMIp4G8eeNP+Grft/wDwhHg3XPFv9m/8KM+y/wBp/wBi24uP7P8Atn/C4rn7F9pzs+1/ZbvyfvfZpfu1u/8AEPz/ANXbf+YF/wDxz1yrxS4J+v1L8S3pfUaHLg/7IzNezq/XMTzYz6x9S5pe2p8mE9g/dp/V/br3qrPUn4WcarI8PWXCnLVlneOpSzb+2ssft6UMny2rHKvqP13lp/VKlSeZ/XUuav8AX/qbfLhkl/OHRX9Hn/EPz/1dt/5gX/8AHPVqx/4N8Ptt7Z2f/DXPl/a7q3tvM/4UHv8AL8+VIt+z/hdKb9m/dt3LuxjcM5HV/wARS4F/6Hn/AJjs0/8AmI8v/iGHHH/Qk/8AMjlf/wA2H83NFf0ef8Q/P/V23/mBf/xz0f8AEPz/ANXbf+YF/wDxz0f8RS4F/wCh5/5js0/+Yg/4hhxx/wBCT/zI5X/82H84dFf0ef8AEPz/ANXbf+YF/wDxz1avv+DfD7Fe3ln/AMNc+Z9kuri28z/hQezzPIleLfs/4XS+zfs3bdzbc43HGSf8RS4F/wCh5/5js0/+Yg/4hhxx/wBCT/zI5X/82HzN/wAEIP8Ak7v4jf8AZuHi/wD9Wd8IK/rLr8mv2EP+CXf/AAxN8XfEfxV/4Xl/wsz/AISD4b6v8Pv7B/4Vn/whn2T+1fE/g/xH/a/9qf8ACwPFfn+R/wAIp9j+wf2dD5v2/wC0fbY/svkXP6y1/PfiRnWW5/xRWzHKcT9awcsvy2hGt7KtRvVw9GvCrH2eIp0qi5JTiruHLK94tpO39AeHOTZlkPDFHLs1w/1XGRx+Y15Ufa0a1qVetQlSl7ShUq03zxhJ2U+aNrSSbV9TWP8Aj7h/7Beh/wDpl0+sutTWP+PuH/sF6H/6ZdPrLr4M+6CtTUP+PTQ/+wXN/wCnrWKy61NQ/wCPTQ/+wXN/6etYoAy6KKKANSH/AJAuof8AYU0f/wBJNcrLrUh/5Auof9hTR/8A0k1ysugArU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooA1NH/4+5v+wXrn/pl1CsutTR/+Pub/ALBeuf8Apl1CsugArU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK4/4hePvCXwr8C+MPiX491b+wfBPgLw3rHi7xZrX2DU9U/snw9oFhPqer6h/ZujWeo6tffZLG2mn+yabYXl9Ps8u2tppmSNl+H/AI88KfFLwL4O+JXgTVf7d8E+P/DGh+MvCOtfYdS0z+1vDfiTTbbV9F1L+ztZs9P1aw+26dd29x9j1Owsr+38zyru1gnR4lF7yqOPvKk6UarWqpyrxqzoRqW+B1oYevOkpWdSNGrKN1Tk0P3fZ83u+1dVUr6e0dBUnWUL/G6Kr0XV5b8iq03KynG/X0V538Tfi18Nvg1oFl4o+KPjLRfBeiap4j0DwhpN3rFwySaz4q8UahHpnh/w7otjBHPqGsazql3Ji307TLW6uhbQ3d/JFHY2N5cweiUL3lJx1UJqlNrVQqukqypyauo1HRlGryNqfspRqOKhKEpj0cU9HODqRT0cqaqOi5xTs5QVaMqTmk4+0jKnzc8ZRiV5f8Sf+YL/ANxH/wBsKoeMPj18J/APxU+E3wT8W+K/7J+J3xxXxg3wt8M/2F4kv/8AhKB4B0Zdf8Wn+2dM0e88P6J/ZOkOt3jxFqukG/z5GmfbLkGEX/iT/wAwX/uI/wDthQtYRqLWnKVaEZrWEp4eoqNeEZLRyo1mqVWKd6dRqE0pOwP3ZcktJqnSquD0l7Kuqjo1OV68lVUqrpztyzVObi2oSt5fX8Pf/BYH/lIr+0P/AN0l/wDVGfDKv7hK/h7/AOCwP/KRX9of/ukv/qjPhlX6v4Pf8lLjv+xJiP8A1NwB+V+Lv/JN4L/sdYf/ANQscfmnRRRX9In85hRRRQAUUUUAFFFFAHR+DvD/APwlvi7wr4V+1/2f/wAJN4k0Pw/9v+z/AGv7F/bOp2um/a/svnW32n7N9p877P8AaLfztnl+dFu8xecro/B3h/8A4S3xd4V8K/a/7P8A+Em8SaH4f+3/AGf7X9i/tnU7XTftf2Xzrb7T9m+0+d9n+0W/nbPL86Ld5i85XDGrfM61D61fly3DV/qPsbez58wxlH679Zt7/t/ZfU/q9/3f1b29l7a79eeGtw9hcZ/Z3L7TP8wwf9sfW+b2/scjyrFf2R9Qv+7+p/WP7U+vcq9v/aH1Lmf1XlRRRRXceQFFFFAH0t+xf/yeJ+yd/wBnLfAn/wBWj4Vr/Qu1z/kNax/2FNQ/9K5q/wA9H9i//k8T9k7/ALOW+BP/AKtHwrX+hdrn/Ia1j/sKah/6VzV/PvjP/wAjTIv+xZjP/VjA/fvBz/kWZ5/2MsH/AOq6Zl0UUV+Mn7Eamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fWXQAVqah/wAemh/9gub/ANPWsVl1qah/x6aH/wBgub/09axQBl0UUUAakP8AyBdQ/wCwpo//AKSa5WXWpD/yBdQ/7Cmj/wDpJrlZdABWpp//AB6a5/2C4f8A09aPWXWpp/8Ax6a5/wBguH/09aPQBl0UUUAamj/8fc3/AGC9c/8ATLqFZdamj/8AH3N/2C9c/wDTLqFZdABWpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8rftzeIvEHhH9jP8Aan8UeFNc1jwx4m8PfAL4q6zoHiLw9qd7ouu6Hq+neDNXutP1XR9X02e21DTNSsbqKO5s76yuILq1njSaCVJEVh+GXg24+Pf7S/7S37AnwPvP2vP2ofhT4O+JH/BKP4ZfFH4naj8K/inqul+LfGHiv7Vqb3viM6z4gXxHY6d431jU10ibWfiEdGvvGF7pOn3ehLqkFvq9xcRf0jfELwD4S+KngXxh8NPHuk/294J8e+G9Y8I+LNF+36npf9reHtfsJ9M1fT/7S0a807VrH7XY3M0H2vTb+zvoN/mW1zDMqSL414M/ZA/Z1+H3j74a/E/wh8PP7I8c/CH4Lab+zx8O9c/4S3xzf/8ACPfB7R5Gl07wh/ZmqeJr3R9W+zyOzf8ACQa5p+p+KJs4n1uVQAJw8IwxcquIXtcPLE4es6V5O9Ojw3xXlkouPNCOuZ5xlGL5FJQnDBTrTUq2Hw8Z3WnKWFhToP2deFLMIe0tFWlisfwlXoyUuWbvTw2TZvS5nFypSxtNUuWOIxMo/wAsHxNn+KXxk/Yw8P8Ahr4wftG/HDxTdfs5f8Fdbz9mPw544uvHc1t4n1rwVd3miNZeL/Gmu38GpXuu+PfA92dU1L4f+KtSvJp/CI1e+s41vNOisbaz/RqPwL8T/wBpX9r/APaW/ZW8T/t2ftVfAb4efsK/BX4NaL8Npfh58YbLwT8UPilN4l8A6bq3in45fHXxrHAuofEsWV5Zac3iOefT9JsIG8Q6dNZXvhK91DVpPE/6mav/AME9f2PNe+FnxQ+CusfBq01H4afGX4r6h8cPiJ4dufGXxFeXWvipql1p95f+L7HXv+EvHiTwxd3EumWkZsfCmsaHpEdobuwi0+Ox1DULe64j4m/8Erv2BPjDonwy8P8AxD/Z20TXLH4P+DLD4eeAbm28ZfEvw/rum+CtJjhi0jw7q/ijw1410fxL4wsNISFjpI8Zat4gm0t7vUpbCW3l1bU3u84xrfVqlKc061anQqTrJyXLm1XgPh3h3E51y040lUxWAz7KMyzTC03GMMbSzqrXlDB43DUKcHUdN13KlzU6MK2Mhho8sZyoZa+M8wz/AA+XRVWVRexxmTY6nlWJ5pzeElgacYTxWGxFaS/HL9mr9ob4oftO/Hv/AIIqfFD4wXUWt+NxqH7e/g+88a22nw6XZ/ESy8FeB7nw7p3je2sLaG2t4JNVtrJbbUzb2tpbz61p+p3NvZ2cMyWsP9DPiTw/q2h+L/EPiXVPHPinxlovi7+yf+Ef+H3iS08E2vhD4Xf2BpcFhqv/AAgl74Q8H+FPH2of8JtdzR634n/4Wb43+Iv2TVLWCLwZ/wAIjorXOkXNU/sq/s+p4s+BPjWz+GWjaPr37MuleJtE+Bf/AAjt5rfhrRPh7pHjHQo/DXiPT9N8K6Bqmm+FdQttQ0WNLNY9d0bVfsLbrrTjaXjvcN2fxJ/5gv8A3Ef/AGwrvrVac6VOnCLThjM4xEpclOmqizDHYPEwrOnSUaVOtXeHr4nE0aMI0KGIxc6OH5qMFI5Ywl7d1Wowg8Bl2FjRjUq1Vh/qlTPJ/VoVazlVrYfC0cyweCw1etJ169LAqrXjGpOz4P8AtC0/6Ael/wDf7Wv/AJcV/DZ/wWHkSX/go1+0TJHBFbI3/Co8Qwmdokx8Cvhip2m4muJjuILtvlf5mIXam1V/t/r+Hv8A4LA/8pFf2h/+6S/+qM+GVfp3g9/yUuO/7EmI/wDU3AH5j4u/8k3gv+x1h/8A1Cxx+adFFFf0ifzmFFFFABRRRQAUUUUAdH4O8P8A/CW+LvCvhX7X/Z//AAk3iTQ/D/2/7P8Aa/sX9s6na6b9r+y+dbfafs32nzvs/wBot/O2eX50W7zF5yuj8HeH/wDhLfF3hXwr9r/s/wD4SbxJofh/7f8AZ/tf2L+2dTtdN+1/ZfOtvtP2b7T532f7Rb+ds8vzot3mLzlcMat8zrUPrV+XLcNX+o+xt7PnzDGUfrv1m3v+39l9T+r3/d/Vvb2Xtrv154a3D2Fxn9ncvtM/zDB/2x9b5vb+xyPKsV/ZH1C/7v6n9Y/tT69yr2/9ofUuZ/VeVFFFFdx5AUUUUAfTH7FbBP2x/wBkx2jSVV/aZ+A7NFIXCSBfin4VJjcxPHIEcDaxjkjcAnY6thh/ofaxfWqavqqNo+mysupXytLJLq4eQrcygyOItVjjDuRuYRxxoCTsRVwo/wA7/wDYv/5PE/ZO/wCzlvgT/wCrR8K1/oXa5/yGtY/7Cmof+lc1fz74z/8AI0yL/sWYz/1YwP37wc/5Fmef9jLB/wDqumH9oWn/AEA9L/7/AGtf/Lij+0LT/oB6X/3+1r/5cVl0V+Mn7EdNqt9arcxBtH02QnTdHbc8urggPpFi6xjy9VjXZErCKMlS5RFMrySF5Gzf7QtP+gHpf/f7Wv8A5cUax/x9w/8AYL0P/wBMun1l0Aan9oWn/QD0v/v9rX/y4rSvr61W20cnR9NcPpsrKrS6uBEBq+qp5cezVVYoWVpSZWkffI4DiMRxx8zWpqH/AB6aH/2C5v8A09axQAf2haf9APS/+/2tf/Lij+0LT/oB6X/3+1r/AOXFZdFAHTRX1qdIvn/sfTQq6lpSmIS6vsctbawVkYnVTIHjCMqBJFQiWTzEkYRNHm/2haf9APS/+/2tf/LiiH/kC6h/2FNH/wDSTXKy6ANT+0LT/oB6X/3+1r/5cVpWN9atbawRo+moE02JmVZdXIlB1fSk8uTfqrMEDMsoMTRvvjQFzGZI5OZrU0//AI9Nc/7BcP8A6etHoAP7QtP+gHpf/f7Wv/lxR/aFp/0A9L/7/a1/8uKy6KAOm0q+tWuZQuj6bGRpusNuSXVySE0i+doz5mqyLslVTFIQocI7GJ45Aki5v9oWn/QD0v8A7/a1/wDLijR/+Pub/sF65/6ZdQrLoA1P7QtP+gHpf/f7Wv8A5cVpaPfWr6vpSLo+mxM2pWKrLHLq5eMtcxASIJdVkjLoTuUSRyISBvRlyp5mtTQ/+Q1o/wD2FNP/APSuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvL/iT/zBf+4j/wC2FeoV5f8AEn/mC/8AcR/9sKAPL6/nU/b2/wCCP37S37TX7VPxK+PPgPxx8DNI8IfES38E3Giab4u8S+PrDxJap4X8A+GPAmoDVLPRvhlr+lwPNq/hXULmzFprF8JNNmspp2t7qSezt/6K6/iK/wCCvv7Wf7VPw3/4KIftBeB/h3+0x+0D4C8FaAnwnj0Lwf4L+M3xG8LeF9FTU/gj8Ntb1JNI8P6H4ksdJ01NQ1nU9S1e9WztIRd6pqF9fziS7u55ZPu/D55ys5xP9iYzBYLFf2bW9pVx2DnjaMsP9ZwvNTjShUpONR1PZyVTmaUYyjb3k18Rx7HKJ5PhlnWExmMwv9o0nTpYHFxwdWNf6viuWcqs6dVSpqn7SLp8qblKMr+7Z/Q//Dgn9sT/AKKT+zT/AOFj8Uf/AJzdH/Dgn9sT/opP7NP/AIWPxR/+c3X4nf8ADdX7bv8A0eP+1T/4kL8XP/mvo/4bq/bd/wCjx/2qf/Ehfi5/819fsXN4g/8AQ/4c/wDDBX/+bD8j9jwD/wBCLiH/AMP1H/5kP25b/ggB+2OtrDdn4lfszeXPcXNuijxl8U94e1jtZZCw/wCFMhQhW8iCEMSSsm5VAUtX/wCHBP7Yn/RSf2af/Cx+KP8A85uvxQP7d37cBRYj+2V+1YY0d5EjP7Q/xdKK8gjWR1T/AIS/aryLFErsACwjjDEhFw3/AIbq/bd/6PH/AGqf/Ehfi5/819HN4g/9D/hz/wAMFf8A+bA9jwD/ANCLiH/w/Uf/AJkP2x/4cE/tif8ARSf2af8Awsfij/8AObqwv/BAD9sdrWa7HxK/Zm8uC4trd1PjL4p7y91HdSxlR/wpkqUC2coclgQWj2qwLFfxG/4bq/bd/wCjx/2qf/Ehfi5/819OH7d37cARoh+2V+1YI3dJHjH7Q/xdCM8YkWN2T/hL9rPGssqoxBKiSQKQHbJzeIP/AEP+HP8AwwV//mwPY8A/9CLiH/w/Uf8A5kP2v/4cE/tif9FJ/Zp/8LH4o/8Azm6P+HBP7Yn/AEUn9mn/AMLH4o//ADm6/E7/AIbq/bd/6PH/AGqf/Ehfi5/819H/AA3V+27/ANHj/tU/+JC/Fz/5r6ObxB/6H/Dn/hgr/wDzYHseAf8AoRcQ/wDh+o//ADIftJq//BB/9q/w3oHiPxbr/wATP2eY/Dvg/Q77xP4hbR/EnxI1LWhoekhJtSOi6be/CzRrHUdVW2LvY2F9rWjWd3Oqw3Gq2Mbm4S7/AMOCf2xP+ik/s0/+Fj8Uf/nN1+Pvw/8A2xf24PG3jnwd4IT9tj9qzSV8a+K/DfhOXUV+PvxdvBZJr+uWGmi7ksR43sxfJZyTx3gs2urYTvAiefA22VPZf2Mv2zf2wfFP7YP7KPhnxN+1d+0p4j8N+I/2lPgXoXiHw9rvx0+KGr6Hruh6v8UPC2n6to2s6TqHim4sNU0rVLC4uLHUdOvree0vbSea2uYZYZXRvPrY3j6hXxd+JeHpyw2VfXpYNcO1lalCtj/9ojWeJ5XOvLCTwvs3NqHso1XBKTnL2aeV8CVsqwFZcK5/TjiuIa+WxzZ8S0Ze0qf2blFX+zpYNYe8IYSONhmf1pU0631uWFVSToqEP0d/4cE/tif9FJ/Zp/8ACx+KP/zm6sWv/BAD9se8ura0i+JX7MyyXVxDbxtJ4y+KYQPPIsSFyvwZZggZgWKqxAzhSeD/AFzVqaH/AMhrR/8AsKaf/wClcNfnf/EV+Mf+f+Wf+Gqh/wDNJ9p/xCvhD/nxmX/h1r//ADMfx+/8OCf2xP8AopP7NP8A4WPxR/8AnN0f8OCf2xP+ik/s0/8AhY/FH/5zdf13UUf8RX4x/wCf+Wf+Gqh/80h/xCvhD/nxmX/h1r//ADMfy3/s+/8ABEf9qz4UfHv4I/FLxF8QP2fL3w/8Nfi98NfH+u2ei+K/iPc6zd6N4O8Z6L4i1O20m3vvhRp1lPqc9lp08VhDeahYWst08SXF7aws88f9Umuf8hrWP+wpqH/pXNWXWprn/Ia1j/sKah/6VzV8txBxNmvE9bDYjNp4edTCUalCi8PhoYaKp1aqrTUowqVFOXtEmpNppe7ZrU+nyDhrKuGqOJoZVDEQp4utTr1liMTPEydSnSdGLjKdOm4R9m2nFJpv3rp6GXRRRXz575qax/x9w/8AYL0P/wBMun1l1qax/wAfcP8A2C9D/wDTLp9ZdABWpqH/AB6aH/2C5v8A09axWXWpqH/Hpof/AGC5v/T1rFAGXRRRQBqQ/wDIF1D/ALCmj/8ApJrlZdakP/IF1D/sKaP/AOkmuVl0AFamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9AGXRRRQBqaP/x9zf8AYL1z/wBMuoVl1qaP/wAfc3/YL1z/ANMuoVl0AFamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNAH0ZRRRQAUVwvw6+JXgn4seHJ/Fvw/1r+3/D9t4p8c+CptQ/s7VtK2eJvhr411/wCHfjXTPsmtWGm3rf2L4x8L67o/2xLZtP1H7D/aGk3d/pdzZ31xL4o+IvgzwXr3w78MeJtci0vXviv4rv8AwR8P9Oa01C6l8ReJ9M8FeLPiHf6bE9laXMFgtr4O8D+J9Ykv9VlsNN/4lqWC3japqGmWV60m3Tik3Kr7P2UVvU9tRWIo8i3n7XDyjXp8t+ejJVI3g7h/P/079qqn/Tv2E5063P8Ay+yqU6kKnNbknCUZWlFo7WiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRX5ef8FWPjt+0F8CPhN8Abz9mrxnpngj4h/E39rP4R/B+TUdb8NeHvFOjX+ieNtO8YpNpGrWHiHTdQEGm3WqafpM19e6LLpWvxWttLFpusWLTyO0yk1PDUoQlUq4vG4HL6EIOCcsRmGLpYLDpynKEIQdetTVScpKNODlUl7tOdqjFSVWUpxpwoYXG4yrOSk1GhgMDjMwxErQjOcpLD4Gu4RjFuc1CC1mmfqHRX89P7Ynx2/bR/Z7vPh5+z9oX7deqeNvjH4d+EXiT4p+MJ/gj+w/ovxp/ad+L1/e+O7zTtL834J2OhWvwG+Evwc8GeEtk134w1T4oaf4y1C+0jUrgaNr0V3Zwjyb4if8ABQ79vHxH/wAE9v2LP2jvCsnjfwLp/jJfi3c/tTfHr4J/s8+EPjx4n8H6Z8Kr7XPDPhfXZ/hb451Twv8ADzQfDHxAl0y48QeL/EN5rXhvSNCu7AnQdR0qw+z+GddXtabo4jEQnGdHD43C4OVW/s6cli8RjsHDFKrVUKcMNTxmW4zC1XUnGpCtCjBqE8Xh6EX7Oaq4ejOLhUxGGxWIjDSc4ywuCp5i8NKlScqssTWwVahXowpwcZqry3k6dSpL+m+uU8b+PPA/wz8Map43+JHjLwp8PvBeiLatrXi7xv4i0jwp4Y0hb69ttNsm1TX9evLDStPW81G8tLC1N3dxC4vbq2tYi888Ubfz3eG/+Ckn7Qnib9g/4J3nw++O/wAJPit+0X8d/wBrfw1+yVpXx2sfhvrmhwfDqP4gwHWNK8VfET4Xaz4Q8M+GrT4p+F9NvrKzudF0HSvEXwrvJkjvNG1nx5bWd9LqO/8A8FCvAX7aPw2/4Jofty+Gv2qvjv8ADn9pHwwT8EtQ+E3xQ0LwBafCf4kSRXPxV+HaeLdA8d/D3wvpMfgHTtK03U4rdvCd/oniHXtZv4pdTudeuIFuNO0vSFj3VwVDG1uWNsJWoYeE63tKdLFV5rh2tiKFFpTqRq4bC8R4STdaMKNbEwrYfDYjEOhUrVXgI08ZiMuo80k8e5TlCnyTrYfDrG5tl0cRUjJxpyhPF5RXSjCTrU8NKnia+HowqKlD+hW0vLTULS1v7C6t76xvbeC8sr20niubS7tLmJZra6tbmFnhuLe4hdJYJ4neKWJ1kjZlYE+b/En/AJgv/cR/9sK/G74PfGH9tj4Dftj/ALD3wT+NPx78DfGf4Wftd/BvxtqMPw88O/BvQ/hzpfwQ1H4d/DTTvFdlaeEfFkGo61448cQRSW0Gkf2p411c/wBo2F5qdzNoVhf/ANmy2H60eJLTxta+L/EN74v8QeFtc8A6h/ZP/CsvDXhvwfq3hTxf4R+yaXBF4z/4TvxvqnjnxlovxF/t/Wmtr/wx/wAI/wDD74Xf8IjpcM+kar/wm13cx63a9+Lwyw9SooScqUcdnGCjzqMa0KuTZxjcoxNLERhekq0K2GpuboVKuHk6svY1ZxpyZw4bEOtCkqkVGrPAZTj3yNyo1KObZdRzDD1aEpWqOjOMq8YKvClXSoxlVpQ9rA5iv4Cf+C2P/KTj9pj/ALoz/wCs/fCmv9ArztF/6B+qf+Di0/8AlHX+f1/wW4MDf8FPf2mjbxyxQn/hTGyOaZLiVf8AjHz4Tht00cFsj5fcy4hTapCncVLt974X/wDI/wAX/wBimv8A+peDPh/En/kR4X/saUf/AFFxZ+VFFFFfvB+IhRRRQAUUUUAFFFFAHW+AfC3/AAnPjvwV4K+3f2X/AMJh4t8OeFv7T+y/bf7O/wCEg1iz0n7d9i+0Wn2v7J9r+0fZftdr9o8vyvtEO/zF98/YU/5Pd/Y4/wCzqf2ev/VueEK8D8A+Fv8AhOfHfgrwV9u/sv8A4TDxb4c8Lf2n9l+2/wBnf8JBrFnpP277F9otPtf2T7X9o+y/a7X7R5flfaId/mL79+wiUH7cH7GplV3jH7Vn7PBkSNxG7IPi74Q3qkjRyrG7LkK7RSBSQxjcDafHx9W7zWh9Zvy8P1631L2NvZ87zij9c+sW9723s/qnsL/u/q/t7L2t39Dg8PbAZPi/7P5efit4T+1vrV/b+xwXD+K/sr6jf939U9v/AGn9d5V7f6/9T5n9W5V/pO1qaH/yGtH/AOwpp/8A6Vw0edov/QP1T/wcWn/yjrS0eXSDq+lCKx1JJDqViI3k1W1kRXNzFsZ410eJpEVsFkWWMsAVEiE7h/K5/R5zNFannaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdAGXWprn/ACGtY/7Cmof+lc1HnaL/ANA/VP8AwcWn/wAo60tYl0gavqolsdSeQalfCR49VtY0Zxcy72SNtHlaNGbJVGlkKghTI5G4gHM0Vqedov8A0D9U/wDBxaf/ACjo87Rf+gfqn/g4tP8A5R0AGsf8fcP/AGC9D/8ATLp9ZddNqsukC5i8yx1Jm/s3RyCmq2sYCHSLExKVbR5CXSMokj7gJHVpFjiVhEmb52i/9A/VP/Bxaf8AyjoAy61NQ/49ND/7Bc3/AKetYo87Rf8AoH6p/wCDi0/+UdaV9LpAttH32OpMp02UxBdVtVKJ/a+qgrIx0dxI5kEjh1WIBGSPyy0bSyAHM0Vqedov/QP1T/wcWn/yjo87Rf8AoH6p/wCDi0/+UdABD/yBdQ/7Cmj/APpJrlZddNFLpH9kXxFjqQjGpaUHQ6ral2c22seWyyf2OFVFUSh0MTmQvGyyRiNllzfO0X/oH6p/4OLT/wCUdAGXWpp//Hprn/YLh/8AT1o9HnaL/wBA/VP/AAcWn/yjrSsZdINtrGyx1JVGmxGUNqtqxdP7X0oBY2GjoI3Ehjcuyygorx+WGkWWMA5mitTztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6ADR/8Aj7m/7Beuf+mXUKy66bSpdINzL5djqSt/ZusEl9VtZAUGkXxlUKujxkO8YdI33ERuyyNHKqmJ83ztF/6B+qf+Di0/+UdAGXWpof8AyGtH/wCwpp//AKVw0edov/QP1T/wcWn/AMo60tHl0g6vpQisdSSQ6lYiN5NVtZEVzcxbGeNdHiaRFbBZFljLAFRIhO4AHvVFFFAH8v3hv/gnl+1mLn9o/T/hh+z1L+zD8dvGEH/BUCbUv2zYfir8IrCb9oLw5+0p8XfF3ib9lj4dxa14A8TfEL4tWUvgey1bw/4njf4p/DKw8LfBp/DwfwTH4h1nxX4m0SC9+z//AME2fGPw7/4Z18YWX7FPxCTTfhv+2xJ8SND+Gfx6l/4Jh6d4i+Den63+yd40+HN18cPDPw7/AGIfBvwN/Z2+F/hPTPjfP8M9d8Sr8JfFvxC+P/jJvh9oXxXXw1a+M9L0zw/Y+ieK/wBtL9uHwHqMOkeOPFvifwZq1zZR6lb6X4r+E3gfw7qM+nTT3NrDfw2Wr+BLO5lspbmzu7eO6SJoHntbmFZDJBKq0vD37cn7aHi7WLPw94U8ea14n1/UPtH2DQ/D3ww8Aa1rF99ktZ766+x6Zpvge5vbn7NZW1zeXHkwP5Nrbz3Em2KKR1/ojD/Re40pZdTq4fiXgpYKnl2Ho08ypZ1i1SpYbB4GrgI4vD42nlksDhqVLDqWIp/VatHAYHNIYnO8K8PmWLzKriP5yxP0oOCq2ZVqWI4Z42+vVsxxtWpltTI8B7WeKzK3PhamXVM0hiqtSU6saTp1sPPF4zAPDZLioYjKsPgcPQ7r/gjt+yL+0b+zV8Z/j14w+KXwC8YfAjwh8Y/gD+znL4o0vxC/7GllpWq/tN+D/Fvxxu/jFd+GdP8A2WfFHjXxr4p8LvZeN/DcnhP4uftQ/ET40ftMfETQmil+NHxi8SeKNJhs7D+gKvAf+FrX3w3/AGadG+LvxT0vxTqniHQvhR4W8R+L/Dmk6FZ2/jjX/Gl34f0v7R4V0jw1dSeH9Ot/GHiLxXeJoGl6JeT6Dp0Gu39vY3dxpFmks1tyfhz9rTwrrXwF8e/HHWPhx8V/BGofC/UfFPhnx78EfE+meCbv4y+H/iD4ZuoLOH4bpb+DPHni74Za94o8Vzal4dbwbf8Ahf4na54K1628V+Hb2LxdDZXdxcWf4HmU3SxWKwU3hpPIoyy2f1CM54f2GHzPMsLhfqkIKrKrhlUxdLCZfTwqxHssvnkOHUEquDnjP6DwVSOJo4bHKNel/bkYZjThjeSlXVSrluDxVf605Roxp4mFGnOvmVbE+wdXHYfOsTVqOrRx6wn1VRX5k6z/AMFTPg54b8Ufs9/DnxP8MPib4Q+L/wC0B8T/ABt8Iovg749+IX7IHw58e/DXxp8P/EngPw54j0zxSPiD+1N4X8K/Ee9ZfiX4O8Q+HtC/Zj8U/tAeKvGPhjVBq3hHw/rghkgH6bVyqLlSjXjaVCdWrRp1oSjOlUqUIYedVUqkJShVjCOLwzdSlKpSftYqNRyUox6OaPOqbbVR0o1/ZyjKFSNKdfFYaMp05xhUpt18Fi6XJVhTqKVCpeHKlORRRRUlBRRRQAUUUUAFFFFABXzj+0l+zB4B/ai0v4V6R4/1fxho9t8IfjX4E+PHhp/B2oaLp8994v8Ah7/an9i6drja14f8QR3Phu6/ta5/tSzsItM1ObZB9k1iy2yeZ9HUULSdGotKmHxGHxVCfWlicLWjiMNWh0U6NaEKsG1JKcU3GS91m8akPs1aOIw9WPSdDFYevhcRSl/crYbE4ijNJpuFaaUotqUfz8/aD/4JwfBb9oj44ad8ftY+IP7Qfwy8aP4MtPht49s/gj8WtQ+Gmh/GD4cWuqjU38CfEwaXps+vX/hu/RrjTNStvDWv+Frq9064AmvDfWOk32n+aXP/AASM/Z1HwU+BHwd0L4kftG+CdU/Zr1rxtqvwc+OXgP4laN4R+PHhGx+Imq6pq/izwza+NNG8F22kv4e1KfUzAsJ8LjU7Wys7e2tdViWfUzqH6nUVMIRp01SguSmqkK0YwcouNSni8VjqcoTjNVKfs8Xj8fXhGnVp04zx+OUaSp47GUsVU5yqT9pN88+SVNuajJShPCU8DOM4yg6dTnwdHD4ebqU6kpU8NhOabng8HUwn5u2//BLD9l//AIZt8S/s26zc/FXxXa+LviTffGvXfjT4n+IFxqXx/u/jdcmUWfxg/wCFgppttaJ460e3dLOxuR4d/sa6t45m1zRdYudU1u41Pk0/4JGfs7Xfwi+PXwv8XfEv9pL4meI/2kIfBOnfE349/FH4o6d48+PN34c+Hev6H4k8I+E9K8W6/wCELrw9p3h/S9S0OHdA3g+5vr62uDbahqF1Hpfhz+xP1OopzjGp7dTjFrEwo060VGMYyhh6WDw9GMYQjThRUMPl+Awz+rU8K6mFweGwtZ18NRhh0oSlTdCUJSUsNVnXoy5pSlCtPEVsXKo5zc51ZfWsRWxUfbzxEYYmrPEU4U67VWPyb4l/Y4+GPin42fswfHnUNd8eQ+L/ANk7wz4x8KfDrTbPU/D8fhvWtO8beE4vB2qzeNbOfwvcapqN7b6ZCs+nyaFrHhyCK/LS3Ntd25FqPYviT/zBf+4j/wC2FeoV5f8AEn/mC/8AcR/9sK1nVqVXJ1Jym54jG4uXNb3sTmOLqY/H1nZL95isbVqYms9E6s5OMKcbU1nCnThyckFH2eGweDha/u4XL6H1XBUFq/3eFw/7mktZKGkp1H7x5fX8BP8AwWx/5ScftMf90Z/9Z++FNf37V/Mb/wAFFf8Agid+1T+1f+1/8Vf2h/h34/8A2ftG8FfEu38BXGhaX408VfEbTvFFonhL4ceEvh9qQ1ey0P4U+I9JgefWfCOpXVkLPW78SaZPYzTtbXcs9lbfb+H2ZYDK85xOIzHF0cHRnltajGrXcowlVlicLOME406r5nGE5L3UrRevR/GceZdjsyyjD0MBhauLrQzGlVlToqLlGnHD4mDm1KpTXKpTjF+83eS06r+Smiv37/4hyf23f+ipfsrf+Fv8XP8A5x1H/EOT+27/ANFS/ZW/8Lf4uf8Azjq/Yf8AXDhf/oe5f/4Mrf8AzIfk3+qfEv8A0Jcd/wCAUv8A5qPwEor+gNv+DcH9uBbWG7PxU/ZT8ue4ubdFHjj4u7w9rHayyFh/wo0KEK3kQQhiSVk3KoClq/8AxDk/tu/9FS/ZW/8AC3+Ln/zjqP8AXDhf/oe5f/4Mrf8AzIH+qfEv/Qlx3/gFL/5qPwEor9+/+Icn9t3/AKKl+yt/4W/xc/8AnHVYX/g3B/bga1mux8VP2U/LguLa3dT44+Lu8vdR3UsZUf8ACjSpQLZyhyWBBaParAsVP9cOF/8Aoe5f/wCDK3/zIH+qfEv/AEJcd/4BS/8Amo/n8or9+/8AiHJ/bd/6Kl+yt/4W/wAXP/nHUf8AEOT+27/0VL9lb/wt/i5/846j/XDhf/oe5f8A+DK3/wAyB/qnxL/0Jcd/4BS/+aj8MfAPhb/hOfHfgrwV9u/sv/hMPFvhzwt/af2X7b/Z3/CQaxZ6T9u+xfaLT7X9k+1/aPsv2u1+0eX5X2iHf5i++fsKf8nu/scf9nU/s9f+rc8IV+o+qf8ABu/+2L4c0PxB4s8SfFj9mmDwz4Q0W88TeJZdE8T/ABR1bXU0DSvLl1V9D0m/+EehafqusR2jSSafp1/r2h2V7cIlvc6xp0cjXUfuv7Nn/BBD9sH4O/tFfAP4ueJviR+zXfeG/hZ8avhZ8R/ENloXjD4oXWuXmh+B/HOheJtWtdGttQ+Dml2FxqtxYaXcQ6dBfalp1pLePDHc31pCz3Efl4zi/hyq8xoQ4iwNTnyWrGnglCqrV6rzSjGvHEPCLnnX5qWEWHbSp+yjXuvbNr3cLwhxBSwGV4ufDGNp8vE0qdTNnXpP2lGhgsjxTy6WB+tP2UcHzVczeOUW6/1uWD1+rKJ/XHWpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw1/O5+5GXRRRQAVqa5/wAhrWP+wpqH/pXNWXWprn/Ia1j/ALCmof8ApXNQBl0UUUAamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fWXQAVqah/wAemh/9gub/ANPWsVl1qah/x6aH/wBgub/09axQBl0UUUAakP8AyBdQ/wCwpo//AKSa5WXWpD/yBdQ/7Cmj/wDpJrlZdABWpp//AB6a5/2C4f8A09aPWXWpp/8Ax6a5/wBguH/09aPQBl0UUUAamj/8fc3/AGC9c/8ATLqFZdamj/8AH3N/2C9c/wDTLqFZdABWpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDQB9GUUUUAfxJ/25/t/wDj3/2VH9uf7f8A49/9lXjv9uf9NGo/tz/po1f61f2hL+Z/ef5Jf2bL+V/ev8j+wjw18M2+NP7DPwx+HtvrkfhjVPEfwC+D914b8Uz6LB4lg8LeMdC8L+EvE/gvxRceHbm806DxBb+HfFmkaLrVxoj6npn9qw2L2C6npz3C3sHJ6V+yR8TJfgt8Rvh34z+NngrX/Hvxf13xt8UfH/xE0T4H3/h7RLf47XOueBdV+Efi3wD8PtV+MXi5fDfw7+Ftt4B0ay1D4c+JvFnj3xJ47ns9P1SX4q+GrqDUxrfpXwV8f+FPhp+xV8G/iV461YaJ4O8G/sz/AAy8U+JNW+xajqctnpGl/DPQr68lttK0e01DWdXvnijMdjo+jafqGsatevBp2lWF7qFzb20vT+Gv2ovgj4r+CHiD9onTPFGsWfwt8JWfi658W3fij4ffEjwT428JXPgW5vbLxX4e8V/CPxn4R0D4u+GvGmk3unz2jeA9b8DWHjW8upbC30/QLubVNMS7/wApuIHTXEHFlRTcXLN8zeLnGpJTo0/9YMyqYaouVTlQlPEYbAzhOlTqTqV8HlrdOUoYaGYf6sZAm8h4UhOKk4ZJl0MLCaTjVlPh3LKWMpuMpQjWgsPicbGpGpOnCnSxmYtVYqpiZ4H5HT9hH4w3mn3CeIf2iPhjq2t/F3W/HN3+1jrNp+zBJotx498PeONZ8LXV14c/Z01S1+Ok3jf9nWG18PeDPDXhaSPx543/AGmPDurRaRaeINU8LXHigTavN+nNfL2nftnfs2ah8N/AnxWm+I0nh3wn8SPi3oHwE8J2vjnwV8Qvh547uPjV4m8YN4E0n4V618KfHfhTw58UvCPjs+I45otT8N+LvBuhanoOkW134n12303wvZ3WsQ/UNcCUqdH2UIqFCFaMVGCi6dOdLBYSNLDwlGdWMaeHy/E4aWHw8Ks4UcNjvawlUjjVWfoRVOVRVVJzq1aU5Ocpyc6sZY3FOtiJqUacp1auPp4iniMROnGpUr4SNCapvB+wiUUUVJqFFFFABRRRQAUUUUAFFFFABRRRQAUUVyXjnx/4D+GHhm/8afErxt4R+Hng7Sns49U8WeOfEmjeEvDOmyaheQafYJf69r97p+l2b31/dW1jZrcXUbXN5cQW0IeaaNGOy6ylGEV1c5zhThFLrKdSpTpwirynUqQhCM5zhCbScnaKcm76RTk9E5PRJvSMZSemkYybsoya62vL/iT/AMwX/uI/+2FenI6SIskbK6OqujowZHRgGVlZSQysCCrAkEEEHBrzH4k/8wX/ALiP/thRto9GtGno01o009U09GnsSmpJSi1KMkpRlFqUZRklKMoyi2pRkmmmm00002mm/L6/hg/4LH/teftY/DP/AIKO/tEeBPhv+0/+0P8AD/wR4fT4RR6B4N8EfGr4k+FPCuhpqfwM+GeuakmkeHtB8S2Gkaamo61qmp6xfLZWcAu9U1G+1C4El3d3E0n9z9f57P8AwXG/5Sj/ALT/AP3RT/1nf4S1934e0aNbOcTGtSpVorLa0lGtSpVoqSxOFSko1adWKkk2lJRTSbSdm0/iOP6tWjk+GlRq1aMnmNKLlRq1KUnF4fFNxcqVSlJxbSbi5NNpO10mvk7/AIb2/bn/AOj0P2sf/Ei/jB/82NH/AA3t+3P/ANHoftY/+JF/GD/5sa+TqK/Y/qGA/wCgHA/+EWD/APmM/Ifr2O/6Dsb/AOFuM/8Ams+sz+3z+3WUWI/tp/taGNHeRIz+0b8YSivII1kdU/4TLaryLFErsACwjjDEhFw3/hvb9uf/AKPQ/ax/8SL+MH/zY18nUUfUMB/0A4H/AMIsH/8AMYfXsd/0HY3/AMLcZ/8ANZ9Y/wDDe37c/wD0eh+1j/4kX8YP/mxpw/b5/brCNEP20/2tBG7pI8Y/aN+MIRnjEixuyf8ACZbWeNZZVRiCVEkgUgO2fkyij6hgP+gHA/8AhFg//mMPr2O/6Dsb/wCFuM/+az6x/wCG9v25/wDo9D9rH/xIv4wf/NjX6bf8Ecv2uP2rvif/AMFHv2dPA3xK/ac/aF+IfgrXP+Fu/wBteD/HPxo+JHi3wtq/9mfAj4n6xp39qeH9f8S6hpOof2fq2n2GqWX2u0m+yajZWl7B5dzbQyp+DFfrF/wQ5/5Sj/swf91r/wDWd/i1Xl53gsFDJs2lDB4OEo5bjpRlHB4SMoyWGqNSjKOFjKMk9VKMotPVNPU9PJcZjJZxlUZYzFyjLMcFGUZYvFSjKLxNNOMoyxUoyi1o4yjJNaNNaH+gn4n8Sf8ACG+AfiV4v+xf2j/wivgPWvEn9n/aPsf2/wDsOWy1P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y206zPE/iT/hDfAPxK8X/AGL+0f8AhFfAeteJP7P+0fY/t/8AYctlqf2L7X5F19l+1fZfI+0fZrjyPM83yJtvltp1/Nyl/tM4e1vbDU5+w5Ph5sRWh7b2nXn5fY+zv7vs/aW9+5/SkqNsooYn6ny8+bYvD/2j9Yv7X2eWYCv/AGf9Vv7n1f231761b979b+rXfsLIrU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhrc84y6KKKACtTXP+Q1rH/YU1D/0rmrLrU1z/AJDWsf8AYU1D/wBK5qAMuiiigDU1j/j7h/7Beh/+mXT6y61NY/4+4f8AsF6H/wCmXT6y6ACtTUP+PTQ/+wXN/wCnrWKy61NQ/wCPTQ/+wXN/6etYoAy6KKKANSH/AJAuof8AYU0f/wBJNcrLrUh/5Auof9hTR/8A0k1ysugArU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooA1NH/4+5v+wXrn/pl1CsutTR/+Pub/ALBeuf8Apl1CsugArU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhoA+jKKKKAP8AP/8AG3xe8f8AxL1W3134j+O/GHxA1y00+LSbXWfG3ibWvFWq22lQXN3eQaZb6jrt5f3cOnw3d/fXUVlHMttHc3t3OkSy3MzPn+FviR4q8Da9YeKfBPijxB4O8T6X9q/szxH4W1rUvD2vad9ts7jTr37Bq+kz2moWn2vT7u7sLr7PcR/aLO6uLWXfBPKjeDf20P75/wC+j/hR/bQ/vn/vo/4V/pdHEYWOH+qRoYWOE9nKj9UjQw8cL7GSkpUfqsaEcN7KSnNSpfVvZSUpKVKSlJS/zVlh8TLEfW5V8TLF+0Vb61KviZYr20XFxrfWpVpYn2sXCLjV+se1i4xcakXGLj/dTovhXxv8eP8Agn/8LNM0zXoL74m+Kv2f/gd400XXvHGs6+bDXPiNofh7wT8QNFl8da/pyaj4kk0fxF4s0ezg8ZapbW+rarNpeoapc/YNWuHNldcJpn7PX7R2rfAz4x+H/Fun/BXQ/i18cPHPjH486pZeGfid8Q9e+HfgL4p6Brnwxufgz8NrHxHc/CTwb4q+IHw81fSfh1aL8UviNdeGfh/ren3purXQPhR4j0zW2j0P6K/Y2fzf2Qf2VJP+en7N3wNf/vv4YeF2/rX0jX+cGcU40874glSbpe3zTMKS9nyRVGGHzvE16Lw8PZ+zpuNXLssnyunUpf8ACdhoKjClLFUsX/ozlEnUybh/23714fKME/3jnL2v1zI8Nh8Sq8uf2lTnp5hma5vawqqWYYmbqzqLDTwn4oePv+CZ3xu+OL+A/jN44+Ouo/Bf496R+05oXx61v4VfBnxH4A+IX7O+k6VJ8avgF4l8QafZ+LPjZ+ytqvxH8U/EDRfhf8B9JtPC3xC0Hwz8FJNS8U6trnhbV9I0/wCHHibxLY6l+19FFcUZezw8MJTjGnhqVWValRjzONKU8JgMFJQnUnVq8joZbhLxnWqXqRlVb5pRjR7+W9R1pylUrSjONSrJpTq8+KxGMcpxpxpUnJVsVW5ZRo02qclSvKEUFFFFSUFFFFABRRRQAUUUUAFFFFABX4+f8Fcv2iP2sP2evCPwg174AXPxG8D/AAvn1bxzq/7QPxu+E3wH8J/tGeM/hp4f8MeG4bvw1Dc/D/x/rHh3wRYeEdev7u/n8ReK9d8QaEujx6Hbvb63bOW0XxJ+wdfHH7WP7EPwr/a6n+HGveKfFnxa+FPxJ+Eeq6tqXw6+MfwG8cD4d/FTwrB4hsV0/wAR6NpviV9J1y3j0jXreK1F/G+mPexm1VdPvrGK71OO+5sTCrP6u6Ta9ni8PVqx5uVTow9uqkZLnpOpBOpSqSpKtRdT2MbTnyfV8V0YedODre0SfPhcTTptx5uStUpKNKafLU5JxamoVHSrRpzqKUqfL+8w/wCRXhv/AIKSftCeJv2D/gnefD747/CT4rftF/Hf9rfw1+yVpXx2sfhvrmhwfDqP4gwHWNK8VfET4Xaz4Q8M+GrT4p+F9NvrKzudF0HSvEXwrvJkjvNG1nx5bWd9LqNr/go14C/bR+G3/BN79sDw1+1V8d/hz+0j4YPiT4C6h8JvihoXgC0+E/xIkiufiZ4ITxboHjv4e+F9Jj8A6dpWm6nFbt4Tv9E8Q69rN/FLqdzr1xAtxp2l6R+iFv8A8EsP2X/+GbfEv7Nus3PxV8V2vi74k33xr1340+J/iBcal8f7v43XJlFn8YP+FgppttaJ460e3dLOxuR4d/sa6t45m1zRdYudU1u41Pi3/wCCQn7OepfCf42fDXxj8TP2lfiX4m/aBn8CJ8R/j18T/ilpvjz473uhfDbW9I8QeD/COneLPEPg688P2HhrTNQ0iMyW48ITahf284t7/U7mPSvDo0X0HKk8VUqWSX9p5HjHUcfa06mGwNfgXE1MPhMNKFB4Org8ZkfEGKeMkqNbMVjoVJ054jE/UcHjg5SoTy+U5ScMPHGwqRi+StGpVx2fzhiq9eM6ixMK2WZhl+DWBi61LDfVY0o1IU6bx0/J/B/xE/bU+NX/AAUo/aF+BXgv9piz+FX7O37ONl+zL421LwpF8G/hp4z8Q+KdM8XeA9C1jxD8N9N8S63ptrq3h/TPGssviG+1fxdezeJdc8P3Npo9t4Yh0+0lvIn/AE18SXfja68X+IbLxf4f8LaH4B0/+yf+FZeJfDfjDVvFfi/xd9r0uCXxn/wnfgjVPA3g3Rfh1/YGtLbWHhj/AIR/4g/FH/hLtLmn1fVf+EJu7aPRLrE+G/7LPw++F/7QPxz/AGkNA1jxleeOP2gdG+GWh+MtK1jUNEuPCmmWnwp8ODwx4ek8MWNl4e0/V7K4vbAedrT6rrutRXF5+8sYdOh/0evRPiT/AMwX/uI/+2FZqSWEwNF+9Wp4ecsZUkuapVxtbGZlUqylXledWCw08up01eNKmqc1Cmqnt6lXkw9KdPSVoxhhsrwtGEHalCng8jyDC1lGnFRpqUsyw2bzlV5XVrxqU6k5unOlTpcH5Oi/9BDVP/BPaf8Ay8r/ADyv+C5ggX/gqZ+1ELeSWWEf8KT2STQpbyt/xjt8Iy26GOe5RMPuVcTPuUBjtLFF/wBCGv8APZ/4Ljf8pR/2n/8Auin/AKzv8Ja+88Of+R3iv+xZW/8AUrCHxniH/wAiXDf9jOj/AOo2KPydooor9pPxsKKKKACiiigAr9Z/+CGYgb/gqZ+y6LiSWKE/8Ls3yQwpcSr/AMY7fFwrthkntkfL7VbMybVJYbioRvyYr9Yv+CHP/KUf9mD/ALrX/wCs7/FqvKz3/kSZx/2LMf8A+otU9TI/+R1lH/YzwP8A6k0z/Qi8W+INL8GfD/4leL4Bf6s/hXwHrniQ6bNbW+mrff2F9m1WOyF6l9qJtvtk1pFavcfY7j7LFNJdCC5eBbWfY8nRf+ghqn/gntP/AJeVzHifxJ/whvgH4leL/sX9o/8ACK+A9a8Sf2f9o+x/b/7DlstT+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8ttOv5lUv9pnD2t7YanP2HJ8PNiK0Pbe068/L7H2d/d9n7S3v3P6dlRtlFDE/U+XnzbF4f+0frF/a+zyzAV/7P+q39z6v7b699at+9+t/Vrv2FlqeTov8A0ENU/wDBPaf/AC8rS0eLSBq+lGK+1J5BqViY0k0q1jRnFzFsV5F1iVo0ZsBnWKQqCWEbkbTzNamh/wDIa0f/ALCmn/8ApXDW55weTov/AEENU/8ABPaf/LyjydF/6CGqf+Ce0/8Al5WXRQBqeTov/QQ1T/wT2n/y8rS1iLSDq+qmW+1JJDqV8ZEj0q1kRXNzLvVJG1iJpEVshXaKMsAGMaE7RzNamuf8hrWP+wpqH/pXNQAeTov/AEENU/8ABPaf/LyjydF/6CGqf+Ce0/8Al5WXRQB02qxaQbmLzL7Ulb+zdHACaVayAoNIsRExZtYjId4wjyJtIjdmjWSVVEr5vk6L/wBBDVP/AAT2n/y8o1j/AI+4f+wXof8A6ZdPrLoA1PJ0X/oIap/4J7T/AOXlaV9FpBttH332pKo02URFdKtWLp/a+qktIp1hBG4kMiBFaUFFSTzA0jRR8zWpqH/Hpof/AGC5v/T1rFAB5Oi/9BDVP/BPaf8Ay8o8nRf+ghqn/gntP/l5WXRQB00UWkf2RfAX2pGM6lpRdzpVqHVxbax5arH/AGwVZGUyl3MqGMpGqxyCRmizfJ0X/oIap/4J7T/5eUQ/8gXUP+wpo/8A6Sa5WXQBqeTov/QQ1T/wT2n/AMvK0rGLSBbaxsvtSZTpsQlLaVaqUT+19KIaNRrDiRzII0KM0QCM8nmFo1ik5mtTT/8Aj01z/sFw/wDp60egA8nRf+ghqn/gntP/AJeUeTov/QQ1T/wT2n/y8rLooA6bSotIFzL5d9qTN/ZusAh9KtYwEOkXwlYMusSEukZd402gSOqxtJErGVM3ydF/6CGqf+Ce0/8Al5Ro/wDx9zf9gvXP/TLqFZdAGp5Oi/8AQQ1T/wAE9p/8vK0tHi0gavpRivtSeQalYmNJNKtY0ZxcxbFeRdYlaNGbAZ1ikKglhG5G08zWpof/ACGtH/7Cmn/+lcNAH0ZRRRQB/mpfEH4k6H4z1m21Tw58M/AnwlsYNMhsJfDnw+1H4malo17dxXd7cPrd1P8AFX4i/EzxCmp3MN1BYTRWevWmjLaabZPb6RBfSajeX+Z4N8c6b4Y8Sadrmt+DvC/xF0yx+2fafBvjK88ZWPhvWPtNhdWcP9pXXw+8XeBfF8X9n3FxFqtn/ZHirSt9/Y2sd/8AbtMe9028+ff7YX+9+p/wo/thf736n/Cv74WKpRo/V05+y5HTs69aU+SXMmvbyxEsTze87VPrPtVo41YuMXH+EHh6kq31hqn7XnVS6pYdQ51Zp+wjQjhuX3Ven9X9k9VKnJSkpf6EFzaXvxA/4JX+AI/DfgeSfT/Ev7JvwR1DV/hb4D0/xT4mn1T4b3PgnwRqfxD+GPgrSL3XtX8beI7jW/huPEngzwzpd54i13xRrU17Y2Vzf67qt07XngvgfwpYWX7Dv7Qfw2+F/wADfil4E+Dfjnxd8XvGXwR+AC/s+/FP4dXtp+yxpXiX4fQfE74baH8H9S8L+EtX+Ed98TYtS+KE/wAK/gR4j07wN448Q6R4rkm8I/D86dp+raXpH3p+ws/mfsR/scyf89P2V/2e3/76+EnhFv619UV/CGaUYrNeIrcko43G4ihKFWnGtS5cJnNbE0liKdSU1jabqYGhH2WJcoxpYnOKcZN5xiai/uPLZOeW8Pyk5ReDy+lOMqM/Y1ObG5LRw05UalOMXhKtOONrThWw8Yy9phcnlaMcowsT+bbW/g/4EPg34M3Xw3/ZE+Kfhiz8P/tdat8R/wBhnw1qf7F3xuFt8NPhRp3xI+HfiLX/AIXeBtFtrPRH/wCCYev/ABW8e+Fb/WNN+Nfx3+FXgzw34T+CWv8AifwxZWGkr4jlsfCv9JNFFYRlyYdYe85qNd1o1KtSVSq19RwGB/eyf8bEVVgIYjGYud62MxUo1qnLycst1TtVVX3Iv2E6LhTpQpU06mY47MX7OMdaVCjLHSw2Dwibo4PCxnSo2VadyiiipNQooooAKKKKACiiigAooooAKKKKACiiigAry/4k/wDMF/7iP/thXqFeX/En/mC/9xH/ANsKAPL6/jo/4Ksf8EpP2+v2jP28/jj8bPg18Bf+Ex+GPjyL4YTeFPE3/C0fgv4e/tWLw38IPAPgvWm/sbxV8RdD8QWP2LxL4a1rTdupaTZtcfYvtloJ9PubS6n/ALF6/ja/4Kvf8FYP2/v2cP29/jn8Efgx8fP+EN+GHgKL4Xw+E/DH/CrPgt4i/sqLxL8HvAHjXWl/trxX8Odc8Q3323xN4l1vU92pateNbfbfsdoYNPtrS0g+v4K/tT+1K/8AZP1D6z9Qq8/9oe39j7H2+H5uX6v7/tef2dr+7y899bHyfGKyx5ZQWa/Xvq/16nyfUPYe29t7DEcvN7f3PZ8nPe3vc3LbS5+f3/Djn/gqP/0bB/5mr9nf/wCe1R/w45/4Kj/9Gwf+Zq/Z3/8AntVm/wDD83/gqb/0dF/5hP8AZ1/+dHR/w/N/4Km/9HRf+YT/AGdf/nR1+n/8Zt/1TH/mTPzbk4N78Sf+Y3/I1z/wQz/4KmLBHcH9l3EMss0Mb/8AC7P2dvmlt0gklXaPi5vGxLmE7mUK2/ClirhYv+HHP/BUf/o2D/zNX7O//wA9qqR/4Lqf8FUWgjtz+1JmGKWaaNP+FI/s5/LLcJBHK24fCLed6W0I2sxVdmVClnLRf8Pzf+Cpv/R0X/mE/wBnX/50dH/Gbf8AVMf+ZMOTg3vxJ/5jf8jS/wCHHP8AwVH/AOjYP/M1fs7/APz2qlH/AAQz/wCCpjQSXA/ZdzDFLDDI/wDwuz9nb5ZbhJ5Il2n4ubzvS2mO5VKrswxUsgbI/wCH5v8AwVN/6Oi/8wn+zr/86OpR/wAF1P8AgqisEluP2pMQyywzSJ/wpH9nP5pbdJ44m3H4RbxsS5mG1WCtvywYqhU/4zb/AKpj/wAyYcnBvfiT/wAxv+Rd/wCHHP8AwVH/AOjYP/M1fs7/APz2q/Qr/glX/wAEq/29f2bv29fgR8afjT8B/wDhDPhn4M/4Wh/wkviX/haHwZ8Rf2b/AMJF8GfiJ4U0b/iTeFPiJruv3n2zX9d0qw/0DSrr7P8AavtV15FlBc3MPzV+yJ/wWU/4KR/FD9rH9mD4aeOv2jv7c8E/ET9of4K+BfGOif8ACoPgNpn9seFfFvxJ8NaB4h0v+0tH+F+n6vp/9oaRqF5afbtLv7HUbTzvPsby2uY4pk/uxr5TifP+I8spPLsxp5LOOZ4PEx5sHDGScKUm8NU96tVgo1LzvD3Jx6vsfUcN5Bw9mNVZhgKmcRll2Mw81HFzwajKrBLEU9KVKblT9y0/fhLou5meJ/En/CG+AfiV4v8AsX9o/wDCK+A9a8Sf2f8AaPsf2/8AsOWy1P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y206zPE/iT/hDfAPxK8X/Yv7R/4RXwHrXiT+z/tH2P7f/Yctlqf2L7X5F19l+1fZfI+0fZrjyPM83yJtvltp1+SqX+0zh7W9sNTn7Dk+HmxFaHtvadefl9j7O/u+z9pb37n69KjbKKGJ+p8vPm2Lw/8AaP1i/tfZ5ZgK/wDZ/wBVv7n1f231761b979b+rXfsLIrU0P/AJDWj/8AYU0//wBK4ay61ND/AOQ1o/8A2FNP/wDSuGtzzjLooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigDU1j/j7h/wCwXof/AKZdPrLrU1j/AI+4f+wXof8A6ZdPrLoAK1NQ/wCPTQ/+wXN/6etYrLrU1D/j00P/ALBc3/p61igDLooooA1If+QLqH/YU0f/ANJNcrLrUh/5Auof9hTR/wD0k1ysugArU0//AI9Nc/7BcP8A6etHrLrU0/8A49Nc/wCwXD/6etHoAy6KKKANTR/+Pub/ALBeuf8Apl1CsutTR/8Aj7m/7Beuf+mXUKy6ACtTQ/8AkNaP/wBhTT//AErhrLrU0P8A5DWj/wDYU0//ANK4aAPoyiiigD/Ko+Jcvwn0rXbS3+DnjT4jeO/DL6RBNfav8S/hh4a+E2u22uteX6XWm2nhzwt8XvjTp97pEOnx6XdQa3N4psLy5vLy/sZNAtYNNt9R1XJ8C3fgTUPFWl2fxL8ReL/CXgmb7d/bfiHwL4K0f4ieKtP8vTryXTf7L8Ha/wCPvhfpGsfa9XSwsb77X460P+z9OubzVIP7TubGHR9Q+fP7ab/nov6f40f203/PRf0/xr+xVimqXsvbVG+Rx9s5w9vd39/mVKNP2ivdP2HLdRvTdmpfyK8EnV9p7CklzqXsVCfsbK3ucrrOpyO2q9vzau1RaOP+mj4O8ZXXw4/4JZ/A/wASfCTxXq1gLP8AZP8A2cdF8E/EjxD4Y8MaZrfhjRPE3gr4e+FLH4p6/wCDNU1/xb4N07UvBuhayfHur+Gb/wASeLvDVlcaPc6Xc6n4m0yJ5b/G0f4wfGPwv+yj+01b3/xj1Px/48+CXxj8X/Azw7+0b4i8NfCuz8TyaRca34L05fij408PeFPDHgr4K3nif4Ox+PNVt/EsejeBvDXg3Urz4bXLat4OtbibWNHb2P8AYX0PQfGH/BOn9jrw14p0XSPE3hnxR+xX+z1oniLw7r+m2es6Dr+h618DfCFjq2ja1pGow3On6rpOqWFzcWWo6dfW89ne2c81tcwywyuje4+H/wBnT9nzwn4L0f4beFvgT8GvDXw78PeCvF/w10DwD4f+GHgnRvBeh/Dn4g3VlfePfAGj+FtO0O20PTPBXje+03Trzxf4VsrGDQvEt1YWVxrNhezWsDx/yBmEJf2jn3M/axxOJq06UJ1KsPfoZrKvUc6lLknQVaGGxWHnVwXs6s6edY2dROWBy+mf1jgWngcj5P3Lw2DTqyhCEr/WMpjQw8oU6jlTrPDVcRha8aWKdSkpZNg4w/37MJP8rz4//aZ1fUtD+FvhT9uXx/rnxg+Gv7RXxA+FfgPwvpHwe/Zm1jxF+1L4a8DeKfhl4i8b/ED9qe4t/hMmg+Dfg98FvCviXUvhj8TfFv7Pmifsyyx+L7rTNA0vxLe/Grx/8LfhhqX7aV8kan+wD+whrVr8MrLWf2KP2SNWsvgpZjTvg1aan+zf8HL+1+EunjXZfFIsfhlb3XgyWLwHZjxNcT+IxbeFU0qEa7NLq4T+0JHuG+t6iMksNCjJyqVo1pTqV5Rpp1ksLhMP7ayjGdGpiqtCti8VhYyq4SjiasfqLw9CLw9TZxftYzSUKccPKnGmqlSSpyqZhjcZ7Jcy5atLCUa+HwWFxNVvHVaFOr9cnUbw/wBXKKKKgsKKKKACiiigAooooAKKK+TP26P2h/E37KX7KHxn+P3g3wWnj7xN8PPDUF9o3h+5F42lJe6prGm6DFrviGPTXi1Ofwx4XbVB4j8SW2nT2d5c6Lpd7BFqWkCRtWscq9aGHpTrVG1CHInZJu9SrRowSvKEVepiKUXKdSnTgpOdSrSpwqVIa0KNTE1qVClZ1Ks1CHNLljdqcm5Ss7KMac5O0ZStBqMJzcIT+s6K/Ar9lT/gqT8fPjL8Kv2v/GfiS+/Y4+Is3wO/Z78bfGH4b+LfgJrfxE0XTbvxL4M8O6hqN74T+IHwO+M+ueG/2hF0YX0mjMfHVt4W8KeB71Vv9C0TxRqmrzJPYUPA3/BSD9v7w34R/Y//AGj/ANof4L/szWv7Lf7UvjX4dfDZ7H4Xaj8TR8bfCGrfEe0ubPw/451SLxHq2oeDbXwxrF/p914n0zw3ZHxDqsGgXOn+G9W8QWWuyf2rJ1RozliIYbSNSp/ZMYzm3Cj7XPcRmGDyrDupKKUcRjMZltfC04ODh7WphG66oYujiDl9tD6tUxS5pU6c8xjKMYuVZxynA4PM8xqwpJ80qWFy7G08ZVleM40qGMh7D6xhamGn/QJRX8z+g/tq/Ef9mv4SftD+LP2d/gZ8F4vGvjP/AILKeOf2eL/wzfXXxbvNL8ez+KdGinuvF2oX2v8AxR1+58PeP/EWo6XpVlPe6Atj8PdKg3z2Hw2iYyiX6K/a6/bv/bh/ZH8I/DnSPiTrf/BOnwN8RZfA2veO/ib478Z+L/ixdfD7XLqTxxP4Y8JfDr4I/A3wnrurftReKNcj0h9P1vxP48vfBdx8PbRn1O1uNQ0NNMlnfk9vT+p0cbJyjSqxyyN5RtfE5jkOV8QSo0FfnrQw2BzWhUnNQVWUZUqccNVxtV4Kn1uhUWLrYSKUqlKrmiSUldUMszaWTOtW0UKUq+Og6NOKnOm5RqTdalhqVTEx/davL/iT/wAwX/uI/wDthX4I+B/2ntQ/bH/ab/4Ie/tEax4as/COveO9E/bbg8RaFpk81xpFt4h8J+BdR8Ha3c6K11LPeRaNqepaBcappdlfXN3fadZXkOn3d/qM9rJf3P7i+JLvxtdeL/ENl4v8P+FtD8A6f/ZP/CsvEvhvxhq3ivxf4u+16XBL4z/4TvwRqngbwbovw6/sDWltrDwx/wAI/wDEH4o/8Jdpc0+r6r/whN3bR6JddtXD1KEE6yjGqsbm+DnTjJTinlWYUcCqkaiUVOOJhXp4iPuQcIzjBpy5uTkjWp1KkY0+aUJYDLsapSi4TTxyzNToTpty5Z4arllWlN88lOTbVlGMqnMV/nj/APBc3/lKb+1F/wB0T/8AWdfhHX+iZ5Oi/wDQQ1T/AME9p/8ALyv87j/guoIF/wCCqP7Ugt5JZYR/wpHZJNClvK3/ABjn8Ii26GOe5RMPuVcTPuUBjtLFF+48Of8Akd4r/sWVv/UrCHxfH/8AyJ8N/wBjKj/6jYo/JKiiiv2k/IAooooAKKKKAPrT9gX/AJPr/Yr/AOztP2cf/VxeDa/07K/zFf2Agh/bv/YoErOkZ/a3/ZvEjxoJHVD8Y/Bu9kjaSJZHVclUaWMMQFMiA7h/p/eTov8A0ENU/wDBPaf/AC8r8h8Sv9/yr/sBxP8A6mRP1Xw8/wByzP8A7DMP/wCokjmPE/iT/hDfAPxK8X/Yv7R/4RXwHrXiT+z/ALR9j+3/ANhy2Wp/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2nUfi3xBpfgz4f/ErxfAL/Vn8K+A9c8SHTZra301b7+wvs2qx2QvUvtRNt9smtIrV7j7HcfZYppLoQXLwLaz7Hk6L/wBBDVP/AAT2n/y8r8uUv9pnD2t7YanP2HJ8PNiK0Pbe068/L7H2d/d9n7S3v3P1SVG2UUMT9T5efNsXh/7R+sX9r7PLMBX/ALP+q39z6v7b699at+9+t/Vrv2Fll1qaH/yGtH/7Cmn/APpXDR5Oi/8AQQ1T/wAE9p/8vK0tHi0gavpRivtSeQalYmNJNKtY0ZxcxbFeRdYlaNGbAZ1ikKglhG5G07nnHM0VqeTov/QQ1T/wT2n/AMvKPJ0X/oIap/4J7T/5eUAZdamuf8hrWP8AsKah/wClc1Hk6L/0ENU/8E9p/wDLytLWItIOr6qZb7UkkOpXxkSPSrWRFc3Mu9UkbWImkRWyFdooywAYxoTtABzNFank6L/0ENU/8E9p/wDLyjydF/6CGqf+Ce0/+XlABrH/AB9w/wDYL0P/ANMun1l102qxaQbmLzL7Ulb+zdHACaVayAoNIsRExZtYjId4wjyJtIjdmjWSVVEr5vk6L/0ENU/8E9p/8vKAMutTUP8Aj00P/sFzf+nrWKPJ0X/oIap/4J7T/wCXlaV9FpBttH332pKo02URFdKtWLp/a+qktIp1hBG4kMiBFaUFFSTzA0jRRgHM0VqeTov/AEENU/8ABPaf/LyjydF/6CGqf+Ce0/8Al5QAQ/8AIF1D/sKaP/6Sa5WXXTRRaR/ZF8BfakYzqWlF3OlWodXFtrHlqsf9sFWRlMpdzKhjKRqscgkZos3ydF/6CGqf+Ce0/wDl5QBl1qaf/wAemuf9guH/ANPWj0eTov8A0ENU/wDBPaf/AC8rSsYtIFtrGy+1JlOmxCUtpVqpRP7X0oho1GsOJHMgjQozRAIzyeYWjWKQA5mitTydF/6CGqf+Ce0/+XlHk6L/ANBDVP8AwT2n/wAvKADR/wDj7m/7Beuf+mXUKy66bSotIFzL5d9qTN/ZusAh9KtYwEOkXwlYMusSEukZd402gSOqxtJErGVM3ydF/wCghqn/AIJ7T/5eUAZdamh/8hrR/wDsKaf/AOlcNHk6L/0ENU/8E9p/8vK0tHi0gavpRivtSeQalYmNJNKtY0ZxcxbFeRdYlaNGbAZ1ikKglhG5G0gHvVFFFAH+QR8Vfh34o+DfiGz8MeLtZ+Gmr6lf6Nb69Bc/Cr42/Bv47eHksbq+1HT4oLzxd8EPHfxD8KadrKz6XcyXHhzUNatfENnYy6dqd3pcGm6xpN3e43w+8M618TfF+keCPDmpeDdN1nW/t/2O9+IPxK+Hnwl8IQ/2bpl7q9x/a/xB+KvifwZ4C8P+ZaWE8Vh/b3iXTf7V1SSy0TS/tms6lp1hdfPH9tH1P5H/AOJo/to+p/I//E1/SyxlX2fK6qdTla9p7K0ebW0vZe0astPc9pZ2+JX0/nd4Knz3VO1PmT9n7STly6Xj7XlTu9ff9ndX+F21/wBZD9n/AMaX/wCzr/wTD/Zk8R3elaD4y8TeAP2Qf2bPDul6BoXj7wve+F/GXj66+GngDwZ4V8P6T8UfDVx4t8G3fh7xR401DSdJs/H3hu48V+HZ9M1CPxFoZ8Q6e1ot712h/tY+LE/Z4+LHxM8efCbQvDXxl+DfjLXfhR4n+Efh34pt4p8Dav8AFpdR0DTfAeheE/jLrPw/8D31/wCEPH8vjbwFLbeLdc+FPhvWdBTxDdwan4IbUNGlsrvhf2MPh3o/xi/4JTfsbfDrXtR1zRtO8ZfsJ/sw6cde8MXltp/ifw5fP8DvAV1pPibwzf3tjqdjZ+I/DWrQWWu6DdX+manYQatp9nJe6bf2qzWk3qGh/scaFpXwk8VfCbVPjT8b/Fo+IMXxB1X4j/ETxBefCm1+I3jn4m+OtU8O6ppnxm1DUfCvwm8M+GvDnj34Zf8ACMaXp3w00r4f+FfB3wu0fS4obXXPhx4jOmaJLpX824z2rxude0c5RnVf1Z0pUoVfaxzJTxToOcZQoVamHjmlPmxPtqPtsVk8qahDB42b/oLDJLC5OqXJHkw8/rKqqc6TTy1xwKqxjapWowxMsrlOOHdKr7LDZupuTxmCjDzXQv23vHKf8Kl8NeOv2btW0z4i+Kv2mNZ/Zj+L3/CAfErRPG/wf+DHiPS9Li1/TvFMXxJ8UeHvhh4x+Ifh/wAaaHq3he48GWGlfB7RfFE19q2p2vizQvB9j4b1LVm/Q2vk/wAFfsieD/Cngzwh4Z1j4hfFL4i+IvDvxwj/AGifEXxQ8b33gVPHvxM+KSSXqnVvHEHgvwB4N8A2mmf2bc2Og2/h/wCH3gXwHo2l6FoOh6do1lpyWkzXP1hURuqTVRwnX9vGUqlGM6dGVN5VkkakaNKbcqdGGbU86lQjVcsQ6FaE60+WWGo4eoqfPf31S9i1GFWUJ1ozWZ51KDrVKcVGdV5XUyaFaVNRoOvRqKjBS+sTrFFFFI0CiiigAooooAKKKKACvFv2hvhDqHx1+D3jT4X6N8UfiR8Ftc8SWES6D8UPhP4m1fwp428H63YXcGoaXqdjqGi6hpV3eacby1itte0Jr+0g17RJ7/Snu7F7qO+tvaaKipTjVhKnPm5ZWu4TnTmnGUJxlCpTlCcJwnThOMoyTUoJ2kuaE7p1JUpxqQ5eaDuuaEKkXo04yhUjOE4SjKUZQnFxlGUk7XUo/gpD/wAErvFHwQ8B/to/HPxX8XI/2kPj18Qv2Qfjh8J/CNj8Mv2Zvh18Av7WufGHhzxDresXeteEPhH/AGnd/Fj4oeMPEY022tvFGqmTxPfNNcWWoP4hubjSZNH5/wDYx/4Jm/F3xn8G/wBiPUf2kv2jPi3e/Br4KQeC/jHof7GPj74VaD4Z1jwV8XtHiu76ysfFHxBuhpvjjUvCvh7WtQ1F9J8A+K/DU02h6DcxeFrTVLfT4Wef+guitqFSVCrKtDl5oxyiOEgoQhRwUsnxGcYrD1aNCEVQnWeKzmtioVatLnwuKoYfE4T2NSEI0casI1aPsJc3LOrj6mJk5zlVxMcfl2X5XUozrSk61OisFgHhpQp1bYnDYvF4bFOtSrTnU/IO5/4JT/aPD+q6F/wvnZ/af/BSSL/goT9q/wCFXbvI8qPy/wDhUXkf8LFXzd3X/hPvOjx0/wCEKPWu5/aN/wCCdXi/4v8A7VVj+1N8Kv2pvE/7P/iDWPhRD8D/AIn6dpfwp8A/EjVvEXw1fWJL7VbD4eeKfHDzr8JPEOraddXdhL4m07w/4jurW7NpqVrboq6nYav+odFYexp+xo4dxTo4dTjTpttr2dXIMJwvWpT1vVo18hwOFy6vSqOUK1Km51E61WvUrbyq1JVK9Zyaq4hylUqRtGXtJZzLiFVabS/dVqWdS/tDD1qajPD140/Y8sKVOEPyR+AX/BLe5+CGofsF3s/x7Hi6P9hz/homCxh/4VYugS/Eew+PKaultbTzp8Q9WTwpN4NXVmVrpbbxJ/wka26boNFeRpB+j3xJ/wCYL/3Ef/bCvUK8v+JP/MF/7iP/ALYV01K1Wr/Em5/vsViG2ld1sbVo18VUbSTcq1XD0pyvonF8qipyTwjTpwlzQgov2VKglG6jGjQnjalGlCF3GMKUswxagltCpGF3GlSUfL6/zx/+C5v/AClN/ai/7on/AOs6/COv9Div4UP+Cy37IH7WnxN/4KRftFePPht+y7+0V8QvA/iFPhDJoHjPwP8ABP4leLPCmuJpfwK+GWh6m+j+ItB8M3+kammna3pep6PfNZXk4tNV06+0+4Md3aXEMf23h7Wo0c5xMq1WlRi8trRUq1WlRi5PE4VqKlVqUouTSbUVJtpNpWTa+N47pVa2UYeNGlVqyWYUpONKlUqyUVh8SnJxpU6kkk2k24pXaV7tJ/gdRX1p/wAMC/t1/wDRlf7Wn/iOPxh/+Y2j/hgX9uv/AKMr/a0/8Rx+MP8A8xtfsf1/Af8AQdgf/C3B/wDzYfkv1LG/9AWM/wDCPF//ADKfJdFfWx/YC/bvCLKf2KP2txG7vGkh/Zw+MYRnjEbSIr/8IbtZ41liZ1BJUSRlgA65b/wwL+3X/wBGV/taf+I4/GH/AOY2j6/gP+g7A/8Ahbg//mwPqWN/6AsZ/wCEeL/+ZT5Lor60/wCGBf26/wDoyv8Aa0/8Rx+MP/zG04fsBft3lGlH7FH7W5jR0jeQfs4fGMoryCRo0Z/+EN2q8ixSsikgsI5CoIRsH1/Af9B2B/8AC3B//NgfUsb/ANAWM/8ACPF//Mo39gX/AJPr/Yr/AOztP2cf/VxeDa/07K/zsP2JP2JP2zvCn7Z37I3inxT+yN+094a8M+Gv2nvgHr/iPxHr/wAA/iro2haBoWjfFXwnqOr63rer6j4TttP0rSNK0+2uL7UtSvriCzsbOCa6upooIndf9E+vybxGr0a+Oyt0a1Gso4LEKTo1qVZRbxkWlJ0atVRbWqUnFtapNan6jwBRrUcHmSrUatFyxlBxValVpOSWFkm4qrSpOST0bSaT0bT0MzxP4k/4Q3wD8SvF/wBi/tH/AIRXwHrXiT+z/tH2P7f/AGHLZan9i+1+RdfZftX2XyPtH2a48jzPN8ibb5badZnifxJ/whvgH4leL/sX9o/8Ir4D1rxJ/Z/2j7H9v/sOWy1P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y206/M1L/aZw9re2Gpz9hyfDzYitD23tOvPy+x9nf3fZ+0t79z9PlRtlFDE/U+XnzbF4f+0frF/a+zyzAV/wCz/qt/c+r+2+vfWrfvfrf1a79hZFamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNbnnGXRRRQAVqa5/wAhrWP+wpqH/pXNWXWprn/Ia1j/ALCmof8ApXNQBl0UUUAamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fWXQAVqah/wAemh/9gub/ANPWsVl1qah/x6aH/wBgub/09axQBl0UUUAakP8AyBdQ/wCwpo//AKSa5WXWpD/yBdQ/7Cmj/wDpJrlZdABWpp//AB6a5/2C4f8A09aPWXWpp/8Ax6a5/wBguH/09aPQBl0UUUAamj/8fc3/AGC9c/8ATLqFZdamj/8AH3N/2C9c/wDTLqFZdABWpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXl/wASf+YL/wBxH/2wr1CvL/iT/wAwX/uI/wDthQB5fX8pP/BTL/gu9+13+x7+2p8X/wBmr4Z/Dn9nDXPAvwtt/h3b+H9W8deEfibqfi28Txj8L/BnxH1M6zf6B8X/AAxo9w8GueMtTtbA2Wg6eItKgsILhbq8iuL66/q2r/Od/wCC7/8Ayla/ao/7od/6zh8IK+u4LwODzDNK9HG4aliqUcDVqRp1VJxVRV8PFTSjOm7qM5JatWk9Oq+W4uxuLwOW0a2DxFTDVZY2nTlOk4qTg6NeTi+aE1ZyjF7J3S16P67/AOInL9vT/okn7In/AIQXxl/+f7R/xE5ft6f9Ek/ZE/8ACC+Mv/z/AGv5zqK/Tv8AVnh//oUYP/wCr/8ANJ+c/wCsWe/9DTF/+B0//mc/o4b/AIOe/wBvhrWG0Pwj/ZB8uC4ubhGHgH4z7y91HaxSBj/wv4qUC2cRQBQQWk3MwKhYP+InL9vT/okn7In/AIQXxl/+f7X851FH+rPD/wD0KMH/AOAVf/mkP9Ys9/6GmL/8Dp//ADOf0Y/8ROX7en/RJP2RP/CC+Mv/AM/2v7u4f+QLqH/YU0f/ANJNcr/ITr/Xsh/5Auof9hTR/wD0k1yvgeOMsy/Lv7M+o4SjhfbfXPa+xUl7T2f1bk5uapU+Hnla1vie/T7jg3Mcdj/7R+u4qtifZfVfZ+1cXyc/1jn5eWnT+Llje99lt1y6KKK+BPtzM8T+JP8AhDfAPxK8X/Yv7R/4RXwHrXiT+z/tH2P7f/Yctlqf2L7X5F19l+1fZfI+0fZrjyPM83yJtvltp1meJ/En/CG+AfiV4v8AsX9o/wDCK+A9a8Sf2f8AaPsf2/8AsOWy1P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y206wUv9pnD2t7YanP2HJ8PNiK0Pbe068/L7H2d/d9n7S3v3PRlRtlFDE/U+XnzbF4f+0frF/a+zyzAV/wCz/qt/c+r+2+vfWrfvfrf1a79hZFamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNbnnGXRRRQAVqa5/wAhrWP+wpqH/pXNWXWprn/Ia1j/ALCmof8ApXNQBl0UUUAamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fWXQAVqah/wAemh/9gub/ANPWsVl1qah/x6aH/wBgub/09axQBl0UUUAakP8AyBdQ/wCwpo//AKSa5WXWpD/yBdQ/7Cmj/wDpJrlZdABWpp//AB6a5/2C4f8A09aPWXWpp/8Ax6a5/wBguH/09aPQBl0UUUAamj/8fc3/AGC9c/8ATLqFZdamj/8AH3N/2C9c/wDTLqFZdABWpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDQB9GUUUUAFFfgB+z5rP7DVn8c9Wl+J2reG4f+Cudr+1B+0xp+p2ug2PiXXP2wLrw/P4h+Ks/wn0fxrpvhjTNY+JS/sTP+zrc/DbVPBjeOra2/ZQsYo/htq1veWfjqHwvcj5C8c/t26z+1Z8Ffhpb3n7ZbeE/DXwu+Hv8AwRw+Kf7R/wATPAkf7PWmad8OP2hPGX7ZV14a+O+nfE3V/Gnw48VeFvh/4s8Daj4f8I6545+HHiXRtB0/4deItC8L2es+HdP0zVfEvh3W3gk8a8spwcXUx88qc5U5KphqeGzOeWKWJw9a8JYuGXPM6eCzCMaUOTOoQyqlUeJxuFw1Oq0HRjjaklOMMIsfFU6kHTxVSvgoYqVOhKheSpzzGOGWMy5KU5Vsrrf2g6dWjh62Iqf1eUV+CXwI/ag+OXxj+PfxJ+GB/a28Ra/4o17w9+3poXxq+A/hbwP8DLPXv+Cf5+E/xSh8Dfsq+OtDng+Fd3448K+IPif4Ec+LtFX9qPU/i14Y+Ot3ef8ACxfhH4e0v4ceHdW0Cbwf9gH9kHwnoXxH/wCCN+pXHjfXNf0fwZ/wTu+NX7R1h4N1b4S/sl2fhq6+NHxB1z9nWbxL8SJJfDP7N3h7xPo3xC1G2+M9xpmpfE3wj4k8N/E/xFY+CPDjeLPGniC+8XfG29+LbwcHi3h53VLD4ijhq0ajU5z5auDz3MKvJGC9lWhTwuSxpU69GrVw1fHYqvho1l/YeeLCziGqFPEu/PXw9TF03SXuxk8P/Z9Kleb1pSrYvHuMqVanTrUcJRoY2dN083yh4j+mWiiipAKKKKACiiigAooooAKKKKACiiigD87f2pP25fHHwh+N3gv9mP8AZ2/Zm8RftWftB+J/Ad98WtY8F2XxI8K/B/w14Q+FtjqV5oH/AAkmsePfF+n6tpX9p3niG2j02w0F7K1WeOZZH1WK9uNJ03VvFPil/wAFQ/iN4F8P/scxeH/2IPixrPxc/a6l+J3h2x+Bnj3xTB8GvHfgbx/8OYNFgTQ75/Gng5tO1Lwtr+sax59v471GbwtZWXgiFPGUmlXEk0nh+27j9qD9k39qB/2q/CP7af7FnjL4EaZ8W4fg/efAP4g+B/2jtL8byfDvxH4Cl8QXPi/T9esNY+HENz4rtvE2m66LC3FgI7SxurK2gmfVIo7a80rW8MfsY/tX+Kfiz/wTy+L/AMafjl4B+LfjT9mfxD8ePFHxu8QNoUXgEX8nxa8J6Tovh3wp8JvDXhHwRBpeq6H4NlsW02XWfGd74e13WrSH+37kJc6gPD+kzhIupDAxxE5U3PNeXMqk1CnOhhliuIVCGAUI1YVMDUy2lkFSpiq8HVpY2tiIpuu/qkbxMo06mJlRhGpGGU1J4GEXKca2N/sjCTl9d5pU5U8TDOZYylhqNCpyVMPCipQlh3UxMfAdF/b7vfgV4s/4KY/GH4yeAfjbZ+JfgP4K/ZL1rxH8D9S/aIsfiz8MfDPjr4o+CZbXT/AvwpsLX4a+GdI+FumR+KtUstM+JPjS21TxxYeJ7iF/FunaZF9itNE1P3n9mr/gqDf/ABY8GfHv4hfGn9nTUfg14D+Bfw7vfiZP8Svhv8YPA/7Ufwg8W6RodnNe+JfCuj/F34X2Nj4BT4n6RC2nTN8O4tZ1DW1tNQW71f8AsRI41uc/xj+wP8edc+I3/BS7xt4W+JHwq8Jn9sLRvgLb/CiXXfB2i/FrT7Of4TeFL/SPEfh/4xfDr4mfDvXPA1z4X8YXE66T5mmx+MLyz0u7m1uO0i1PT7fTLz5O/Zs/4IxfEDRtf/aV1j45XX7O/wAHdG+O/wCz/wCKvghJ4D/Y8vPjbqHg3UdX8a64niG9+JviLTvjLrAh0O/8Mahp+lp4e8B+CLbTfAbWqrb6fpXhW3sJrfW84zrzw1a1KnTrR4YoPCUpaUcNmscDmk/q8FUqSniK8cdLD0oxrYuo+aeGp4vnwEsRjqdVIUY4mD9pOpRln9P6zVWtXE5a6XDlGcn7OnGNCl7P+051KtLCxV8PXlQccdTwuGxv0H+yZ/wWN8L/ALR3xx+H/wAHfF/wj8MfCy1+Nmm69qHwT8ReHf2m/gz8ctZ1qbRdM/4SOPQ/ix8Pvh1cnxN8CfEmqeG2E9hofjXzryXxFDqHhVFkv9Oup1/SvxJ4g1bXPF/iHw1qngbxT4N0Xwj/AGT/AMI/8QfEl34JuvCHxR/t/S4L/Vf+EEsvCHjDxX4+0/8A4Qm7hj0TxP8A8LN8EfDr7Xql1BL4M/4S7RVudXtvyu/Yj/4JtftA/BD4s/CjxF8ZtI/YA0fwP8CPC2p6L4b1n9nr9m/wrD8cPjLrj6Y/h/QPF3xa+Jnjr4Z2niPwfr+kaczaveaj8KvEemXXiLVri6sfEMup2k9ze3X69fEn/mC/9xH/ANsK76qwyoYX2EpSk1iuac3JVZ0FiUsDPFUpxjKhjZ4bmeJp+69KcqlHD13UpPjpuu62I9qlGK9hyxjyunCu6dV4uGHqRbVXCQqewjQqLmi2qzp1q1OSdLg/7PtP+g5pf/fnWv8A5T1/nHf8F5o0i/4KvftVxxzxXKL/AMKNxNCJ1ifP7N3weY7RcQ28w2klG3wp8ykruTazf6Ltf5zv/Bd//lK1+1R/3Q7/ANZw+EFfYcAf8jjE/wDYtrf+pOFPk+Of+RTh/wDsYUv/AFHxJ+RNFFFfr5+VBRRRQAV/r/RWNqNIvk/tjTSralpTGURavsQrbawFjYHShIXkDsyFI2QCKTzHjYxLJ/kA1/r2Q/8AIF1D/sKaP/6Sa5X5n4i/8yj/ALnv/dQ/ROAv+Zr/ANyX/u0H9n2n/Qc0v/vzrX/yno/s+0/6Dml/9+da/wDlPWXRX5mfohH4t1i38E/D/wCJXjBLiw1k+FfAeueJP7Mik1Sya+/sH7Nq4sjeT6NIlr9ueyWyS4EFz5EtzHNJA8KSsux/Z9p/0HNL/wC/Otf/ACnrmPE/iT/hDfAPxK8X/Yv7R/4RXwHrXiT+z/tH2P7f/Yctlqf2L7X5F19l+1fZfI+0fZrjyPM83yJtvltp1gpf7TOHtb2w1OfsOT4ebEVoe29p15+X2Ps7+77P2lvfuejKjbKKGJ+p8vPm2Lw/9o/WL+19nlmAr/2f9Vv7n1f231761b979b+rXfsLLU/s+0/6Dml/9+da/wDlPWlo9japq+lOusabKy6lYssUcWrh5CtzERGhl0qOMO5G1TJJGgJG91XLDma1ND/5DWj/APYU0/8A9K4a3POD+z7T/oOaX/351r/5T0f2faf9BzS/+/Otf/KesuigDU/s+0/6Dml/9+da/wDlPWlrFjavq+qu2sabEzalfM0UkWrl4y1zKTG5i0qSMuhO1jHJIhIOx2XDHma1Nc/5DWsf9hTUP/SuagA/s+0/6Dml/wDfnWv/AJT0f2faf9BzS/8AvzrX/wAp6y6KAOm1WxtWuYi2sabGRpujrteLVySE0ixRZB5elSLslVRLGCwcI6iVI5A8a5v9n2n/AEHNL/7861/8p6NY/wCPuH/sF6H/AOmXT6y6ANT+z7T/AKDml/8AfnWv/lPWlfWNq1to4OsaagTTZVVmi1ciUHV9VfzI9mlMwQMzRESrG++NyEMZjkk5mtTUP+PTQ/8AsFzf+nrWKAD+z7T/AKDml/8AfnWv/lPR/Z9p/wBBzS/+/Otf/KesuigDporG1GkXyf2xppVtS0pjKItX2IVttYCxsDpQkLyB2ZCkbIBFJ5jxsYlkzf7PtP8AoOaX/wB+da/+U9EP/IF1D/sKaP8A+kmuVl0Aan9n2n/Qc0v/AL861/8AKetKxsbVbbWANY01w+mxKzLFq4EQGr6U/mSb9KVihZViAiWR98iEoIxJJHzNamn/APHprn/YLh/9PWj0AH9n2n/Qc0v/AL861/8AKej+z7T/AKDml/8AfnWv/lPWXRQB02lWNqtzKV1jTZCdN1hdqRauCA+kXyNIfM0qNdkSsZZAGLlEYRJJIUjbN/s+0/6Dml/9+da/+U9Gj/8AH3N/2C9c/wDTLqFZdAGp/Z9p/wBBzS/+/Otf/KetLR7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWHM1qaH/wAhrR/+wpp//pXDQB9GUUUUAclc+Kfs9zcW/wBg3+RPLDv+1bd3lSMm7b9nbbu25xuOM4yetQf8Jf8A9Q7/AMm//uavLdSvPHH/AAnN/af8I74U/wCEL+23X/E//wCEz1f/AISj/j1kl/5FD/hA/wCyf+Qt/oX/ACO//IO/4mf/AB8/8SiqX2zxx/wlH2T/AIR3wp/whf8A0H/+Ez1f/hKP+Qd5v/Iof8IH/ZP/ACFv9C/5Hf8A5B3/ABM/+Pn/AIlFYe3j/wA+8T/G9h/u1X4v+fm/+7/9RH8LyPR/s2r/ANBeU/7h/aP/ACNsF/D/AOgX4f8Akaf9Sr/fP7x9G2032i2t7jbs8+CKbZndt82NX27sLu27sZ2jOM4HSpq/Lr9sv4wfGP4f+I7HUfh18Y9T+FmlfBf4M+HfjXP4It/DXwr13Q/2ktV1b4seG/AU3wt8XXfjjwx4i8b6X4es9P8AJ0WGX4Q6t8PfGB8X/FHwfdDxZqUdjD4U1e7+278YPjH8P/Gjaj8OvjHqfws0r4L/AAm0f41z+CLfw18K9d0P9pLVdW+L/h/wFN8LfF13448MeIvG+l+HrPT/ACdFhl+EOrfD3xgfF/xR8H3Q8WalHYw+FNX0ozVb2HLePt8zhlnvOP7udTn9niZ2k70J+yq3jTvXp8j9pGN37PzK8lh/rXOnL6rlv9pT5bPnh7l8PTu1+/j7ajrO1J+191v2c7/pxRX5FfGP4k/txX3/AA2R8MPhr8TfhlZ/FRfjd+zZ4P8A2a5rDUvAPwNtPh/8PviNPouteKtLvvHvxg+Hf7UGk+LfiXdeCNM8W6hJrrfAf4jI2rXtvZeEPglfR6I0uqYngf4o/HTxZ4z/AGeL7Qv2xvHU3iLw54Jtbv8AaB+B3ibwB+zr4g+FmhfD3wHJ8S/A3xR/aC/aQ+Kuk/BD4QeOrLUPiB8RfDl3H+zvf/Da4/Zb0D4jQeDpNYsf2dJfBvgv4/ah4JmjVjXoLEJOFP2FLEyVSVKM6VCeEzLE1K1aMq1OFKhhKmWywWOxNSvHC4LE14zxOIp4PD4nFz1nBxqToq86kJ4umo041JKdTC1MrhCEJRpyvPGrNITwNNw9tiFQnShh54nEYPDVf2Qor4H/AGG/Gnxe1C4+Pfw3+NfxR8afFrxD8PviDoGo+CPGXxD0D4EaL4k8W/CXxp4M0mbw58QNJT9mnTrH4VW/ww8deNdA+JGp/CDQdSm1H4x6F8PLbQ/+Fx3jeJdQgjT74rpqU5U3BS19pSpVl7s42VSM7xcatOlUjOlVo4ihUjOlSnCthq1OpRw9WnWw2ExhUjU9py6qnWqUm1KnNSdP2MozjKlUq05QqUsThq0HGrUjy1opVayUa+JKKKKzLCiiigAooooAKKKKACiiigAooooAK8v+JP8AzBf+4j/7YV6hXl/xJ/5gv/cR/wDbCgDy+v4LP+C0v7HP7XfxQ/4KW/tIePvhn+yv+0f8RPAviJPg7J4f8aeBfgf8TfF3hLXU0r4C/C/QtTfRvEegeGNQ0fU007XNK1PRr9rK8nFnqum3+nXBjvLO4hj/AL06/lC/4Ka/8F4/2vf2O/21vjB+zR8Mvhz+zfrvgT4WW/w6t/D+reO/CHxO1PxbeJ4y+F3gz4kaodZv/D/xg8MaPcPBrnjLVLWwNloOnCLSoLCC4W6vIri+uvquEKuYUcyryy3DYbFV3gqkZ08ViJ4amqTrUHKanCE25qSglCyTUpO+mvzPFcMBUy+jHMcRiMNQWMpuM8NQjiKjq+xrqMHCc4JQcXNuV7ppK2un8z//AA78/b0/6Mj/AGu//EbPjL/8xdH/AA78/b0/6Mj/AGu//EbPjL/8xdfrZ/xE8/t7/wDRI/2Qv/CB+M3/AM/6j/iJ5/b3/wCiR/shf+ED8Zv/AJ/1fo313iv/AKE+T/8Ah1r/APzOfn/1bhf/AKGubf8Ahro//Lz8lT/wT4/b4CLKf2IP2vhG7vGkh/Zq+M4RnjEbSIr/APCF7WeNZYmdQSVEkZYAOuW/8O/P29P+jI/2u/8AxGz4y/8AzF1+ubf8HQP7fTWsNofhF+x/5cFxc3CMPAPxo3l7qO1ikDH/AIaAKlAtnEUAUEFpNzMCoWD/AIief29/+iR/shf+ED8Zv/n/AFH13iv/AKE+T/8Ah1r/APzOH1bhf/oa5t/4a6P/AMvPyT/4d+ft6f8ARkf7Xf8A4jZ8Zf8A5i6/1MYf+QLqH/YU0f8A9JNcr+Zz/gjn/wAFjP2mv+ChP7TXjr4MfGfwL8CfDHhfwx8CfE/xPsL/AOGHhn4gaLr82v6L8QPhh4UtbO8uvFfxP8a6dJo8mneNdVmuLeHSre9e9t9Pkj1CKCK5trv+mOH/AJAuof8AYU0f/wBJNcr8+4vzHMMVicNhMxwmFwtbB05VEsLiKmJhOGLUJR5pzhBJpUNorS/vPY+74UwOAw+GxGLy/FYnE0cXUjTbxOHp4eUJYVzjK0ITm2m628nrbTqZdFFFfIH1ZmeJ/En/AAhvgH4leL/sX9o/8Ir4D1rxJ/Z/2j7H9v8A7DlstT+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8ttOszxP4k/4Q3wD8SvF/wBi/tH/AIRXwHrXiT+z/tH2P7f/AGHLZan9i+1+RdfZftX2XyPtH2a48jzPN8ibb5badYKX+0zh7W9sNTn7Dk+HmxFaHtvadefl9j7O/u+z9pb37noyo2yihifqfLz5ti8P/aP1i/tfZ5ZgK/8AZ/1W/ufV/bfXvrVv3v1v6td+wsitTQ/+Q1o//YU0/wD9K4ay61ND/wCQ1o//AGFNP/8ASuGtzzjLooooAK1Nc/5DWsf9hTUP/SuasutTXP8AkNax/wBhTUP/AErmoAy6KKKANTWP+PuH/sF6H/6ZdPrLrU1j/j7h/wCwXof/AKZdPrLoAK1NQ/49ND/7Bc3/AKetYrLrU1D/AI9ND/7Bc3/p61igDLooooA1If8AkC6h/wBhTR//AEk1ysutSH/kC6h/2FNH/wDSTXKy6ACtTT/+PTXP+wXD/wCnrR6y61NP/wCPTXP+wXD/AOnrR6AMuiiigDU0f/j7m/7Beuf+mXUKy61NH/4+5v8AsF65/wCmXUKy6ACtTQ/+Q1o//YU0/wD9K4ay61ND/wCQ1o//AGFNP/8ASuGgD6MooooA4a78M39xd3U6TWgSa4mmQNJMGCySM6hgLdgGAYZAJGc4JHNV/wDhE9R/57WX/fyf/wCRq9BooA8r8W/BD4O/EfWfhl4q+Jvwm+GPxE8Y/BvV18S/CnxX428B+FvFviH4Y+K2is45/Evw61zxBpN9qngvXZvsFmH1nw5caXqUi2lqHn/0eIJn67+zp+z54o1fwF4g8S/An4NeIte+FfjXxD8Svhhreu/DDwTq+r/Dj4i+LtZl8R+K/H3gLUtQ0O4vPB/jXxP4huJ9e8Q+KvD02na7rWszS6pqV/c30jzt7JRRH3OXk9zkrPEQ5Pd5MQ5Rm8RDl5eTEOcITeIjy13OMZOu5RjKJJKXOpJSVSksPUUveVShFVFGhNS5uehFVaqjQnz0YqrVUaKVWqqnmPjr4J/Bn4o+H/HHhL4mfCP4Y/ETwr8TrfSbT4leGfHXgLwr4u8P/EK00AwNoVt440bX9J1DTfFlvorWtsdJh1+21CPTjbwGzWEwx7fNj+xb+xyfiR4O+Mh/ZN/ZnPxf+HeleHND+H/xVPwI+Fv/AAsjwLong7Sl0Hwjo/g7xz/wiv8Awk/hjSvC2hqujeHNP0TVLG00PSlXTtMhtbMCEfS9FKMYwcZRjGMoSjOEoxjGUZxo4jDxnGUVGUZxw+MxeHjOMoyjh8Xi6EZRoYrFUMSS9+Moz9+M4zhOM/fjOFSrQrVITjLmjOFSthcLWnCUZRnWwuFrTjOrhsNVw/l3wm+B3wV+Amgan4U+Bfwg+F3wW8L634i1LxfrPhv4TfD/AMJ/DnQNX8WayltHrHijU9H8H6To2nX/AIi1WOys49S1u6tpdSvktLZLq5lWCIJ6jRRVXbUU22oQp04Jt2jTpU6dGlTir2jTpUaVKjSpxUadKlSpUqUKdKlTpUzrKX2pzqVZvrOrVqTq1as3vOpVq1KlWrUm51KtWpUq1alSpUqVJlFFFIAooooAKKK+VP22/wBpv/hjj9mH4n/tH/8ACEf8LG/4VxB4Xm/4Q3/hJf8AhEP7Z/4STxp4d8Ibf+Ei/sDxR/Z32L+3/wC0c/2HffaPsn2TEHn/AGmHKtWp4enKtWlyU4unGUrSlZ1atGhBWim3zVa9KOi05ru0Yya1o0amIq06FGPPVqy5YRuo80uWcrXk1Fe7Tm7tpe7bdq/1XRXwd41/ba/4Q/8AaN/Yv+AH/Csv7R/4a98E/EPxj/wlv/CZ/ZP+Fe/8IF4Dh8b/ANnf2D/wil1/wln9q+d/Zn2z+2fDP2Hb9t+y3mfsg/PTwv8A8FsvifrPwd079p7Wf+CffjzSf2VtI8bp4H+Knxp0z45+DdbfwXfHxdF4Zl1Dwx4BufB+heK/H2k2yajoYudXeDwnosXiW91DwqdUM2lf2le9Eqco16mGny06lGvicNWdScKdGjWwmey4ZrxrYico4elGOepZdCrUqwpVas6U6dR0asKywjJTpQrQUqkKuHwWKpRpwnUrVqOY5VWzzB+xw8Iyr1qlbKsNiMYqFKlOtCFCrCdONWKpT/fyivyc+If/AAVHtfh5oH7Z1zdfA6/13xh+y54l+C+meAvBWheO5L29/aC8PftBz6PB8K/Enh6VfAn9o+G5taOrAXuiQaF4wms54BZWd7ql9L9ni63wh/wUj07x94x+A/hrwX8FvE/iy0+KH7Hes/ti/EBvDOuS6/4u+GvhmxsEi0bwLoPgfSvC11e/Erxp4l8YLd+DtLsoNS8JSXF7DDc2VtfvcSWVtmneLlaSUY0pTUoTjOkq2XZxmq9rT5JVacqeCyHNZYiMqXPhcRh4YHERpY/FYTCV60vFJxlzuoqbjKEo1fZ4vJMFelPnjCcKtfiLJvq1RTVLFUMZ9aw1WrhcPi6+G/Taivxz/Z+/4Ks+JviT+1P4L/ZZ+Nv7LF3+zz4r+J/hjxH4i8AwXHx5+H3xO8eWMuieF4/Htlonxm+EvhnSdN8YfAjWda8DmXVrfR/Hwg12LUVj0oaPcQC+1XT+O+E3/BYbxR42/Z9+JX7WnxA/Y+8QfDP9mv4b+HfEELfEWD40eF/GGqeM/ixp/jjSvBeh/DHwX4GXwl4c8R31rrcuu6XNd+PtXi0Tw/ot9FrmlGDUDo5vbsbtT9o0+RYOeObScmqEMwllLg1TdT/apZqo5XTwUXVxVbMKuHwlCFerXpN1GEp1PYxV6n1vD4KMNVKdfFYWrjqDpqShKeHngaGIxksUoxw9LC4evXrTpQpTv+3teX/En/mC/wDcR/8AbCvw0sP2vv2uPin/AMFHf+Cc/hb4ufA34ufsb6F418OfH3XtV+FT/Gy18deAPi74YufhNd6z4S1fxNa+Ek8N2L+KvCWs2F8dS8EePPCMHiDwTNNoOokx3Wsvbad+0XiTxhpPivxf4h8EaXaeKbXWvh1/ZP8AwkF74k8DeNvBvhDUP+Eu0uDV9K/4QT4g+L/D+h+Afij9ktLaSLxP/wAKy8S+Lv8AhCdUaDRPGf8AYGtXVtYTbOjONCjWmoxdXEZnh/ZqcJypyyvMHl1XnlTlKClOqpS9ldVKDhOjXSqxd8VVpyryo05e0isHlmNjWScadSlmmFrYqj7PmSc4xp0k1WjejXjVp1aDdO7OYr/OR/4Ly/8AKV39qr/uhv8A6zd8H6/0gv7Hu/8Antpf/g80X/5YV/nBf8F64Xt/+CsX7VsMhiZ0/wCFGZMM8FzEd37NnwdYbZreSWF+GAbZI21so2HVlH2PAf8AyN8R/wBi6r/6kYY+Q45/5FOH/wCxhS/9R8SfkBRRRX60flQUUUUAf0b/APBsN/yfv8XP+zQvH3/q5vgDX94sP/IF1D/sKaP/AOkmuV/CD/wa/W0l1+318XY4mt1Yfsf+PnJuLq1s0wPjR+z+pAlu5oI2fLDEauXIDMFKqxH96EWlXQ0i+j83TdzalpTgjWNIKAR22sKwaUXxjRyZF2Ru6vIBI0assUpT8c42/wCR9U/7A8F/6brH67wZ/wAiKn/2F43/ANOUjmaK1P7Hu/8Antpf/g80X/5YUf2Pd/8APbS//B5ov/ywr5I+rOY8T+JP+EN8A/Erxf8AYv7R/wCEV8B614k/s/7R9j+3/wBhy2Wp/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2nUfi3UrjwP8P/iV4xe3sNTHhXwHrniT+zotd0uNr/8AsD7NrJsjcQS3z2n2tLFrdLg2lxslljWOC4meK3l2P7Hu/wDntpf/AIPNF/8AlhWCl/tM4e1vbDU5+w5Ph5sRWh7b2nXn5fY+zv7vs/aW9+56MqNsooYn6ny8+bYvD/2j9Yv7X2eWYCv/AGf9Vv7n1f231761b979b+rXfsLLLrU0P/kNaP8A9hTT/wD0rho/se7/AOe2l/8Ag80X/wCWFaWj6VdR6vpUjS6aVj1KxdhHrGkSuQtzExCRRXzySOQPljjRnc4VFZiAdzzjmaK1P7Hu/wDntpf/AIPNF/8AlhR/Y93/AM9tL/8AB5ov/wAsKAMutTXP+Q1rH/YU1D/0rmo/se7/AOe2l/8Ag80X/wCWFaWsaVdSavqsiy6aFk1K+dRJrGkROA1zKwDxS3ySRuAfmjkRXQ5V1VgQADmaK1P7Hu/+e2l/+DzRf/lhR/Y93/z20v8A8Hmi/wDywoANY/4+4f8AsF6H/wCmXT6y66bVdKupLmJll00Aabo6fPrGkRnMekWMbELJfKxQspMcgBSVCssTPG6O2b/Y93/z20v/AMHmi/8AywoAy61NQ/49ND/7Bc3/AKetYo/se7/57aX/AODzRf8A5YVpX2lXTW2jqJdNBj02VG3axpCAk6vqsmY2e+VZU2yKDJEXQOHiLCSORFAOZorU/se7/wCe2l/+DzRf/lhR/Y93/wA9tL/8Hmi//LCgAh/5Auof9hTR/wD0k1ysuumi0q6GkX0fm6bubUtKcEaxpBQCO21hWDSi+MaOTIuyN3V5AJGjVlilKZv9j3f/AD20v/weaL/8sKAMutTT/wDj01z/ALBcP/p60ej+x7v/AJ7aX/4PNF/+WFaVjpV0ttrCmXTSZNNiRdusaQ4BGr6VJmRkvmWJNsbASSlELlIgxkkjRgDmaK1P7Hu/+e2l/wDg80X/AOWFH9j3f/PbS/8AweaL/wDLCgA0f/j7m/7Beuf+mXUKy66bStKuo7mVml00g6brCfJrGkSHMmkX0akrHfMwQMwMkhASJA0srJGjuub/AGPd/wDPbS//AAeaL/8ALCgDLrU0P/kNaP8A9hTT/wD0rho/se7/AOe2l/8Ag80X/wCWFaWj6VdR6vpUjS6aVj1KxdhHrGkSuQtzExCRRXzySOQPljjRnc4VFZiAQD3qiiigAooooAKKKKACiiigAooooAKKKKACiiigAr5O/bl/Ztuv2uv2UfjN+zxp+vWXhjV/iJ4dsoNB1zU4Lq40ux8Q+Htf0jxZoB1WOxb7Yul3GsaFZWmoz2sd1cWtlPPdQ2GoyQrY3H1jRWOIw9PFUKmHqqXs6sVGThJwnFxnTqQnCaTcJ06lGlUhJJ8s6cXyyXNGW2Hr1MNXpYik0qlGpGpDmipRuuZWlFtc0ZRnOMldXjOVpRfLKP4bfDT9iX/goRrv7Uv7Gn7QX7UXxD/ZP1Hw9+yj4R+JPgJfDHwWj+KNlqeoaH4j+GE/hHTfFTXni7wuIPEHi/xBrFzB/wAJTpwbwV4Y0DS9As73w3aXt5rWoabZfnP+wh+y3+2r+1x/wT10X4C+G/jD8DvDP7HPxM+L3jGT4ky674b8Zf8ADQng7SfDXxRTVtc8JfDi60xrrwH4i0DxDquhw+IPtHigaFrVlqGt6vpf2+fQ7a1trj+uGiun2jnXxFbERp4iFenzSoVKcZUa2Lq8UrizF4nHU5Nxx0cVmSVSdCfsYKpzNuWHnUwVTnjH2dKjToSnQnRnhI0q1OVquGw2X5BjuH8DQwU+Vyws8NhMfVUK6deTppU5QlUjSxFL8lfjp/wTs8XePv20/wBnP47eAfFHhXQ/gl4M0z4YWPx18Aa1qniKPxF4vn/Z91nX/E3wPvPD0VnoWp2GryaXret2662mueINCRLfQ9NuoRqdyZIl8j+Af/BLH4vfDLwJ+3L4Y1z4x6BpWvfHPwNrvwN/Zp8TeENS8V6tcfCD4FJrfxB8ReFtB1z+09K8N3VnqDX3jeOz1nT/AA9ealbWVhpYk0rW5ru4kc/uNRWE6aqUcTQqSqTji8PnWHrznNyqyhn+MWOzCaqtOXtXWliaeHnJVPYYXMc1wihVoZnjIVdIS9lPDTpxhD6pVyetQhGNqcZZHhp4XARcbtuCpuhPER9oniMRgctxMpwr4DDVI/zx/sl/8Ep/2lvgr8fv2RPjH400z9hXwtpX7O3h/wCIvgPxTpHwA8LfETQvFnjrRPEPw4l8M6J8SfFvjrxR4ak1T4l/FPUtd1TUhrsOuw+FdD8O6LY+f4cvL6fxPqGlaL9AeBP+CYHjC7/4JYa9+wL8VPG/g/T/AB3qWqeLPEOmeOPBDaz4k8LaRr8vxVufiZ4Nuduv6H4V1a7tVljsNM8RRLplrPHb3GpLplxNIltcv+zlFbV5SxFPEU5ylH6xBQlUpN0qtOUc7p8RU62HqQf7ivSzmlTxtGdKEY0ZU4UqVCnh4Qoxmh/s1WhWpJc2HrUK1NT9+Enh8sx2TU4VYyv7Wk8tzHF4arCcpOspxqVas60XVn+JPw5/Y2/4KL+L/wBrT9jf9ov9rD4nfsra1on7L2ifE3wpceG/g3/wtKz1LVrLxf8ADabwpbeNZLnxb4XW08QeNfE2tXUB8WWS/wDCE+GdC0vw/ZXnhu1vbrWb/TLH9ZviT/zBf+4j/wC2FeoV5f8AEn/mC/8AcR/9sKudaVSEKbUFGFbHYj3IRg5V8yxjx+MqTcdJSrYuU6ukYRhzuFOEKcadOllCjCnJSjzLlwuBwUIuTcKeFy3DzwuCo04v4YUaE3TXvTlJKMpznNOc/L6/zkf+C8v/ACld/aq/7ob/AOs3fB+v9G6v85H/AILy/wDKV39qr/uhv/rN3wfr7HgP/kb4j/sXVf8A1Iwx8jxz/wAinD/9jCl/6j4k/IWiiiv1o/KgooooA/o3/wCDYb/k/f4uf9mhePv/AFc3wBr+8WH/AJAuof8AYU0f/wBJNcr+Dr/g2G/5P3+Ln/ZoXj7/ANXN8Aa/vFh/5Auof9hTR/8A0k1yvxzjb/kfVP8AsDwX/pusfrvBn/Iip/8AYXjf/TlIy6KKK+SPqzM8T+JP+EN8A/Erxf8AYv7R/wCEV8B614k/s/7R9j+3/wBhy2Wp/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2nWZ4n8Sf8Ib4B+JXi/7F/aP/CK+A9a8Sf2f9o+x/b/7DlstT+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8ttOsFL/aZw9re2Gpz9hyfDzYitD23tOvPy+x9nf3fZ+0t79z0ZUbZRQxP1Pl582xeH/tH6xf2vs8swFf+z/qt/c+r+2+vfWrfvfrf1a79hZFamh/8hrR/wDsKaf/AOlcNZdamh/8hrR/+wpp/wD6Vw1uecZdFFFABWprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1AGXRRRQBqax/x9w/9gvQ/wD0y6fWXWprH/H3D/2C9D/9Mun1l0AFamof8emh/wDYLm/9PWsVl1qah/x6aH/2C5v/AE9axQBl0UUUAakP/IF1D/sKaP8A+kmuVl1qQ/8AIF1D/sKaP/6Sa5WXQAVqaf8A8emuf9guH/09aPWXWpp//Hprn/YLh/8AT1o9AGXRRRQBqaP/AMfc3/YL1z/0y6hWXWpo/wDx9zf9gvXP/TLqFZdABWpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeX/En/mC/9xH/ANsK9Qry/wCJP/MF/wC4j/7YUAeX1/OB/wAFAv8Ag4b/AOGJP2r/AIlfsr/8Mhf8LN/4VHa+B7b/AITv/hf/APwhf/CQf8Jx4B8M/FDf/wAIv/wpTxZ/ZP8AZf8AwnH9h7f+Eh1L7b/Zf9p7rT7b/Z9p/R/X+bb/AMF9P+UtH7WH/dCv/Wavg3X0nC+AwmY4+tQxlL21KOEqVYx56lO041qMVK9OUJO0ZyVm7a3tdI+f4jxuKwGBpVsJV9lUlioU5S5ITvB0q0mrVIyW8Yu6V9N7Nn7Df8RYf/Vg/wD5tN/+TlR/xFh/9WD/APm03/5OVfx50V95/qtkX/QD/wCXOK/+XHxf+smc/wDQZ/5Qw3/yk/vZ/YI/4OG/+G5f2p/g/wDsof8ADIX/AAq//hZF18Rrn/hPv+F//wDCbf2N/wAIp8L/ABJ4/wBn/CLf8KU8I/2j9v8A+EF/snd/wkdj9l/tT7ftufsP2K8/o/r/ADbf+CBf/KWj9k//ALrr/wCs1fGSv9JKvg+KMBhMux9Ghg6XsaUsJTqyjz1Kl5yrVouV6kpyV4wirJ20va7Z9pw5jcVj8DVrYur7WpHFTpxlyQhaCpUpJWpxit5Sd2r672SCtSH/AJAuof8AYU0f/wBJNcrLrUh/5Auof9hTR/8A0k1yvmz6Ay6KKKAMzxP4k/4Q3wD8SvF/2L+0f+EV8B614k/s/wC0fY/t/wDYctlqf2L7X5F19l+1fZfI+0fZrjyPM83yJtvltp1meJ/En/CG+AfiV4v+xf2j/wAIr4D1rxJ/Z/2j7H9v/sOWy1P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y206wUv9pnD2t7YanP2HJ8PNiK0Pbe068/L7H2d/d9n7S3v3PRlRtlFDE/U+XnzbF4f+0frF/a+zyzAV/7P+q39z6v7b699at+9+t/Vrv2FkVqaH/yGtH/7Cmn/APpXDWXWpof/ACGtH/7Cmn/+lcNbnnGXRRRQAVqa5/yGtY/7Cmof+lc1Zdamuf8AIa1j/sKah/6VzUAZdFFFAGprH/H3D/2C9D/9Mun1l1qax/x9w/8AYL0P/wBMun1l0AFamof8emh/9gub/wBPWsVl1qah/wAemh/9gub/ANPWsUAZdFFFAGpD/wAgXUP+wpo//pJrlZdakP8AyBdQ/wCwpo//AKSa5WXQAVqaf/x6a5/2C4f/AE9aPWXWpp//AB6a5/2C4f8A09aPQBl0UUUAamj/APH3N/2C9c/9MuoVl1qaP/x9zf8AYL1z/wBMuoVl0AFamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX5/f8FSfjd8T/ANnL9hP47fGX4NeJ/wDhDviT4NtfAknhvxJ/Yvh7xD/Zr6z8TvBfh7Um/sfxVpOuaDefadH1bULPF/pd0IftH2i3EV1FBPH+gNfn9/wVJ+CPxP8A2jf2E/jt8Gvg14Y/4TH4k+MrXwJH4b8N/wBteHvD39pPo3xO8F+IdSX+2PFWraHoNn9m0fSdQvM3+qWom+z/AGe3Mt1LBBJwZn7b6lV+r+19t7TCcvseb2nL/aGXe15eT3rew9vz209l7Xm93nO7LfY/X8J9Y9n7D237323L7Lk9livj5/d5eb2fxac3J15TiP2b/wDgp18IPjP8T/hp8AdW8FftA+BPH3xF+HA8YfDrx98XPg/efDT4cfHeLQ/DljrniLV/hTqGp3dtrOr2E9gdS16yvb7wh4d0a506xnFncCafS7O+yvBv/BXb9m3xt8VvAvw8sfh9+0jpPgf4p/Eu9+Efwt/aW8R/CNtG/Zq+I/jy3vdS0i00Xwd8Q5/ELapqsmr6/pV7oGnkeFYWj1KGV9VTTNOt7rULfk/jN+zD+0J4n/a+/wCCbPxW8E+FLaPw1+z98Hvjj4Z+I/i6917wkbPwH4u8XfByLwt4PF3oVxrseu+J7abxOiW87eFtK122iiiea8lgtHWc/lV4R/4J7ft++KPir+yz8T/jr+zVrfjP4wfAr9qT4feIfiv+0r44/bSsfid4o+KnwnsfiFrfieNPhv8ADHVPEll4R+G/w1+HEVvDqjeHGksfHOrXusaNFoPhxoLrxZYaN701QrZ3TpydOGClm2d4fFzp8lGhUwkeMc1ynBY7DSjelhYLKXgczjh4VI4P6nPD4igsdh3VhhvEj7ajlE5x9pUxayXKMXhYzvWrUsbLhRZjisvxMZtVMTUlmuG+oTryi8WsTUxVCtHCV54OpX/UfxT/AMFtP2WPBviX4iaJrnww/amGgfB74yaj8GPi98TdL+D1lr3ww+GOq2XiODwvZeKvGHivRPGOoLaeF/EWpf2p/wAI1ZWNnqHj3VotA1RIvBCXc2jWure6fBf/AIKd/s5/GXxp8Y/BEmi/GT4QX/wZ+Gl18bdRvvjp8NL/AOHFr40+CdlJcG5+LXgPTLy+vfFV94LSxXTdWim8Q+HPDOs3mm67pctho11Mmq2+mfmd45/YH/ay1n9i7/gpr8JdP+FH2nx/+0L+2/qnxf8AhD4f/wCE6+GsP/CX/Dm5+I/gXXovEP8Aas/jGLRdA36To2pXf9k+J9S0XXV+zeQ2mLczW8Mv0j8aP2UP2t7/APbY+OHxn+BOmW3gux1z/gmhf/AL4UfFO78VeGYItI+NyeM7DVdL0VdOXVr7xhptzb6ZbSXFl4tm8OTaHp94sFz/AGjLdQrC/kUqlSOXQrVoOpink/tpRjBwksxnwBgeJG5YdSX8DiWdbII4RTSqy+t4arJ5lh8JSfqVqdN4urCjOMMPHM6tKF58/NgsPxpgMmVqzTt9c4exmJzSOJ5Jez+pU8VSi8FLG1IfQ37Pf/BUv4HftC/F3wR8HbT4VftMfCLWPiz4Y1/xf8FPFPx0+EsfgDwN8bdB8O2MOtXl/wDC/XI/EutXPiC2uPDU3/CT2V5caZpthNo6KHu4dTurDTbv608SeOfBPjLxf4h+H3hDxh4W8V+Pvhd/ZP8Aws3wR4b8QaTrni/4df8ACbaXBrfgz/hO/DWl3d1rXhH/AIS7RbW51fwx/wAJBZaf/b+l209/pX2u0hklX8A/2RP2D/2uPD37aX7H/wC038WP2VNb8Cap4I0b4ieFf2i/ip45/bEsf2ivix8R/Fsvwil8LeH/AIw+K01TxTc6ZpHh7U7rVv8AhFfC/grwBP4g1bRbfT9XfxNbQ6XZeF9Q1H+iX4k/8wX/ALiP/thXo1aVKnh8K41FUr82YUcRKM1ONT6rmDo4TEqKjB01jMDOlibKlRhJ88qeHwyUsNS4IVKk8RiE4OFB0sDXoqUOV054jD15YvDOSlNVPqmJoqlzOpUqLnXNVrwlSr1OD/sPWv8AoD6p/wCC+7/+M1/mvf8ABfqCe2/4K2/tZQ3EMtvMn/CiN8M0bxSpu/Zo+DTrujkCuu5GVlyBlWDDgg1/pG1/m2/8F9P+UtH7WH/dCv8A1mr4N19PwV/yNcR/2AVf/T+HPneL/wDkW0P+w2n/AOma5+PNFFFfqB+cn7F/8EBYJ7n/AIK2/smw28MtxM//AAvfZDDG8sr7f2aPjK7bY4wzttRWZsA4VSx4BNf6UP8AYetf9AfVP/Bfd/8Axmv81n/ggX/ylo/ZP/7rr/6zV8ZK/wBJKvy/jX/ka4f/ALAKX/p/EH6Nwh/yLa//AGG1P/TNA1P7D1r/AKA+qf8Agvu//jNaUWj6uNIvojpWpCR9S0qRIzY3QdkjttYWR1TytzJG0sSuwBCmSMMQXXPM1qQ/8gXUP+wpo/8A6Sa5Xx59UH9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM1l0UAR+Lb/VPA3w/+JXjGfQb+7Twt4D1zxILGZLjT1v/APhH/s2tSWQvXtLgWvnw2Eoe4+zXP2aISXBglSJkOx/Yetf9AfVP/Bfd/wDxmuY8T+JP+EN8A/Erxf8AYv7R/wCEV8B614k/s/7R9j+3/wBhy2Wp/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W2nWCl/tM4e1vbDU5+w5Ph5sRWh7b2nXn5fY+zv7vs/aW9+56MqNsooYn6ny8+bYvD/2j9Yv7X2eWYCv/AGf9Vv7n1f231761b979b+rXfsLLU/sPWv8AoD6p/wCC+7/+M1paPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCuZrU0P8A5DWj/wDYU0//ANK4a3POD+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGay6KANT+w9a/6A+qf+C+7/wDjNaWsaPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBrma1Nc/5DWsf9hTUP/SuagA/sPWv+gPqn/gvu/wD4zR/Yetf9AfVP/Bfd/wDxmsuigDptV0fV5LmJo9K1KRRpujxlksbpgHi0ixilQlYiA8ciPHIvVHVkYBlIGb/Yetf9AfVP/Bfd/wDxmjWP+PuH/sF6H/6ZdPrLoA1P7D1r/oD6p/4L7v8A+M1pX2j6u9to6ppWpM0WmyxyqtjdMY3Or6rKEkAiJRzHJHIFbBKSI+NrKTzNamof8emh/wDYLm/9PWsUAH9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM1l0UAdNFo+rjSL6I6VqQkfUtKkSM2N0HZI7bWFkdU8rcyRtLErsAQpkjDEF1zm/2HrX/AEB9U/8ABfd//GaIf+QLqH/YU0f/ANJNcrLoA1P7D1r/AKA+qf8Agvu//jNaVjo+rpbawr6VqStLpsUcStY3SmRxq+lSlIwYgXcRxySFVyQkbvjarEczWpp//Hprn/YLh/8AT1o9AB/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNZdFAHTaVo+rx3MrSaVqUanTdYjDPY3SgvLpF9FEgLRAF5JHSONeruyooLMAc3+w9a/6A+qf+C+7/wDjNGj/APH3N/2C9c/9MuoVl0Aan9h61/0B9U/8F93/APGa0tH0fV4tX0qWXStSjjj1KxkkkksbpEjRLmJnd3aIKqKoLMzEBQCSQBXM1qaH/wAhrR/+wpp//pXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXl/xJ/wCYL/3Ef/bCvUK8v+JP/MF/7iP/ALYUAeX1/m2/8F9P+UtH7WH/AHQr/wBZq+Ddf6SVfzff8FA/+Ck3/BHn4D/tYfEr4R/tP/sDn4y/Hrwba+B4viH8Tf8Ahln9l74h/wDCVT694B8M+K/C8n/CafELx3o/jLXP7F8C694X8Nb9c021fTv7F/sfThNo+nadczfScL4mthcfWqUMFiMfOWEqQdHDSpRnGLrUW6jdaUY8qcVFpPmvJWVrnz/EeHpYnA0qdbGUMFFYqE1VxCqShKSpVkqaVKMpczTcldWtF63sfwUUV/YT/wAPgv8AggB/0i6P/iE37Ff/AM82j/h8F/wQA/6RdH/xCb9iv/55tfef2zmH/ROZr/4MwX/y4+L/ALJwP/Q/y3/wXjP/AJUfj5/wQL/5S0fsn/8Addf/AFmr4yV/pJV+UX/BM/xR/wAE3f2u/hr/AMNXfsg/sWfDT4G6r8O/i347+FNp4p1P9nL4D/DP4oabrtr8O/AWq61c+H9c+GFx4lubPRNS8L/E0aJJNH4jsby8ju/EGm3enLp0/mX/AOrtfn/EmPeYZipSwtbB1MPRjhqtCvKnKpGpCc6ju6TcV7taOl2+t9dPuOH8EsDgHGOJpYqFetLEU61GNSMJQlCFNWVRKT1pS1sl5aalakP/ACBdQ/7Cmj/+kmuVl1qQ/wDIF1D/ALCmj/8ApJrlfPnuGXRRRQBmeJ/En/CG+AfiV4v+xf2j/wAIr4D1rxJ/Z/2j7H9v/sOWy1P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y206zPE/iT/AIQ3wD8SvF/2L+0f+EV8B614k/s/7R9j+3/2HLZan9i+1+RdfZftX2XyPtH2a48jzPN8ibb5badYKX+0zh7W9sNTn7Dk+HmxFaHtvadefl9j7O/u+z9pb37noyo2yihifqfLz5ti8P8A2j9Yv7X2eWYCv/Z/1W/ufV/bfXvrVv3v1v6td+wsitTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhrc84y6KKKACtTXP+Q1rH/YU1D/ANK5qy61Nc/5DWsf9hTUP/SuagDLooooA1NY/wCPuH/sF6H/AOmXT6y61NY/4+4f+wXof/pl0+sugArU1D/j00P/ALBc3/p61isutTUP+PTQ/wDsFzf+nrWKAMuiiigDUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcrLoAK1NP/AOPTXP8AsFw/+nrR6y61NP8A+PTXP+wXD/6etHoAy6KKKANTR/8Aj7m/7Beuf+mXUKy61NH/AOPub/sF65/6ZdQrLoAK1ND/AOQ1o/8A2FNP/wDSuGsutTQ/+Q1o/wD2FNP/APSuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqnqNw1pp9/do8Mb2tldXCSXKzPbo0MEkivOlurXDQqVDSrArTMgYRKXKg/mr8Gv+Ci3ws0j9jHwj+1T+1h8c/gLpWk+IPFXibwuvjD4OeG/jdYeB/EOpab4s1bRNP0fwR4E+JXhaL41a3rdlY2DSeI4LfwpdxwfYNY1222+GLN9RinnheupTjD6vSwtWo5yUVy43Gzy/Dxi7vmqVMVB01BqF7x5JVZ81KFck7UWoyn7etWoU1BOT58Pg5Y+q5LRKEMNGU3LmlZr3owh+9P02or4l0P/go1+xZ4l+CLftG6B8dNG1b4OW/jPR/h9qniyy8M+PJp/Dfi7xBqiaPoul+MPCw8K/8ACY+C49TvprYWmqeLPD+jaPJaXlhqQv8A+zb+yu5/avE/7SPwU8GfFvQPgZ4o8dWuj/E7xL4A8RfFTTdCudI8Qtp0Pw78Jm6HiDxdrni6HSJfBnhjRtOayuUe48S+IdIaeSMR2qTvJEr3NOm2prkam6bU7QtUWX1M2cG5OMVJZXSq5k7ySWApVcY5LD06lWERkpq8Gppxc1y+9eCx1PLHJKKk2lmVWll+kW/rtWlheX29WnCp7hXl/wASf+YL/wBxH/2wr58+Af8AwUT/AGLv2oPiJrnwn+BXx58OePPiB4fttQvbvw9Do3jDQH1Cy0q6a01G88L6j4q8OaFpHjS0tHQ3Et14P1DXYBpzR6sJDpcsd4/rXiTxz4J8ZeL/ABD8PvCHjDwt4r8ffC7+yf8AhZvgjw34g0nXPF/w6/4TbS4Nb8Gf8J34a0u7uta8I/8ACXaLa3Or+GP+EgstP/t/S7ae/wBK+12kMkqnLLkpVOWSp16aq0ZuMlGrSbcVUpyaSnDmTjdbSTjJQknEOaPPUpqUXOjN0qsE05UqiSk4VEm3GXK1Kz3i1KLlF8xzFf5s/wDwX2/5S1ftY/8AdCf/AFmn4N1/pWf2HrX/AEB9U/8ABfd//Ga/zWP+C/sE9t/wVv8A2s4biGW3mT/hRG+KaN4pU3fsz/Bp13RyBXXcjKy5AyrBhwQa+v4K/wCRriP+wCr/AOn8OfLcX/8AItof9htP/wBM1z8cqKKK/UD85P76P+DXT/lHL8UP+z2Piv8A+qK/Zhr+jiv50f8Ag1rsb29/4Jy/FP7HZ3V35f7bHxV8z7Nbyz+Xv+BX7MWzf5SPs37G27sbtrYzg4/pC/sPWv8AoD6p/wCC+7/+M1+L8Qf8jvM/+wuX/pugfreR/wDIny7/ALBo/wDpdcy61If+QLqH/YU0f/0k1yj+w9a/6A+qf+C+7/8AjNaUWj6uNIvojpWpCR9S0qRIzY3QdkjttYWR1TytzJG0sSuwBCmSMMQXXPjnqnM0Vqf2HrX/AEB9U/8ABfd//GaP7D1r/oD6p/4L7v8A+M0Acx4n8Sf8Ib4B+JXi/wCxf2j/AMIr4D1rxJ/Z/wBo+x/b/wCw5bLU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbTqPxbf6p4G+H/xK8Yz6Df3aeFvAeueJBYzJcaet/wD8I/8AZtakshevaXAtfPhsJQ9x9mufs0QkuDBKkTIdj+w9a/6A+qf+C+7/APjNYKX+0zh7W9sNTn7Dk+HmxFaHtvadefl9j7O/u+z9pb37noyo2yihifqfLz5ti8P/AGj9Yv7X2eWYCv8A2f8AVb+59X9t9e+tW/e/W/q137Cyy61ND/5DWj/9hTT/AP0rho/sPWv+gPqn/gvu/wD4zWlo+j6vFq+lSy6VqUccepWMkkkljdIkaJcxM7u7RBVRVBZmYgKASSAK3POOZorU/sPWv+gPqn/gvu//AIzR/Yetf9AfVP8AwX3f/wAZoAy61Nc/5DWsf9hTUP8A0rmo/sPWv+gPqn/gvu//AIzWlrGj6vLq+qyxaVqUkcmpX0kckdjdOkiPcysjo6xFWRlIZWUkMCCCQaAOZorU/sPWv+gPqn/gvu//AIzR/Yetf9AfVP8AwX3f/wAZoANY/wCPuH/sF6H/AOmXT6y66bVdH1eS5iaPStSkUabo8ZZLG6YB4tIsYpUJWIgPHIjxyL1R1ZGAZSBm/wBh61/0B9U/8F93/wDGaAMutTUP+PTQ/wDsFzf+nrWKP7D1r/oD6p/4L7v/AOM1pX2j6u9to6ppWpM0WmyxyqtjdMY3Or6rKEkAiJRzHJHIFbBKSI+NrKSAczRWp/Yetf8AQH1T/wAF93/8Zo/sPWv+gPqn/gvu/wD4zQAQ/wDIF1D/ALCmj/8ApJrlZddNFo+rjSL6I6VqQkfUtKkSM2N0HZI7bWFkdU8rcyRtLErsAQpkjDEF1zm/2HrX/QH1T/wX3f8A8ZoAy61NP/49Nc/7BcP/AKetHo/sPWv+gPqn/gvu/wD4zWlY6Pq6W2sK+lakrS6bFHErWN0pkcavpUpSMGIF3EcckhVckJG742qxABzNFan9h61/0B9U/wDBfd//ABmj+w9a/wCgPqn/AIL7v/4zQAaP/wAfc3/YL1z/ANMuoVl102laPq8dzK0mlalGp03WIwz2N0oLy6RfRRIC0QBeSR0jjXq7sqKCzAHN/sPWv+gPqn/gvu//AIzQBl1qaH/yGtH/AOwpp/8A6Vw0f2HrX/QH1T/wX3f/AMZrS0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFAHvVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY3iP/kXte/7A2qf+kM9fyPfsm/Dv4p+Hv2Xf+CW37Ynhr4IeOP2jfh1+zJ8W/2rJPiJ8Jvhvodp4r+JKWvxJ8d6n4d8N/EXwD4JvIPN8X6j4P1/TV1N4NNuoL3TtR0rSL5bjSbC21fxN4f/AKt/ix8KvAfxw+HPi74S/FDRJPEnw/8AHekyaF4r0GPWNd0BtW0maWKaayOr+GdT0bXbKOZ4YxK+nanaSyRb4HkaGWWN63wd+Dnwz/Z/+G3hb4Q/B7wlYeBvhz4LsprDw34a06e/u4bGG5vLnUbyWa/1a71DVtTv7/Uby71DUtU1a/vtT1K/uri8vru4uZpJWnDqdDFYrGRnyVlTyVYFqEasVPA4/O8VjJYiE3BKM8Pm08LQVObqKdR4uNXD1sJQVaq7jWwtDCOHPSlVzV41OUqUnRxuU4bLaUMPOCnL2ntKMcRUnJRhGNH6vKniIYqp7L8SPhH+yZ42/bR8Rf8ABTL4v/ED4M+Of2bPhP8AtpeBvAfgD4Y/DD4waEvg34kXXjH4Z6FJBY/Gb4geBbS4vrjwrqOl+O9OsNW0OOWaW51iG41LUCuoWc1tqus8R+z/APsy/tXftOfAD9tj4mfGXwf4t+Gf7RPj39mHwt+xN8JfD/xL0W98MarNpHwy+Gmmt468RQXGtJYgeGfjT8VNR1OWw19USxWC3k1Jbm5gG5f6OqKidCjLD1sJCM6eGqZLDJqUFUc54flWLozzCFWcbzxtXA5hjsul7SH1eOCxEaFOjCnQpQjUa1VVqWJnKNSvDN45rObgoRrKEMv5MBKEJe7hFiMoyrGzlGo8TUxmC+sTrOpXqOP8sn/BOz9mnx7qv7Q37Jl54w+E3/BUrQdW/Zg8HeIJfFniT9q34q6R4b/Zz+F2vf8ACH/8ITN4O/Z18G6n8KNT1X4h+B/GMscelLpPhrxl4COieGLLSbm/n8R6VYwm6/pL+JP/ADBf+4j/AO2FeoV5f8Sf+YL/ANxH/wBsK7KuInWp0oTUVKE8XXqSgnGNXE47ERxOKrRpuVRUYzqRgoUlWruMY81TEYmtKVeXLToRpVKk4uTUqeHoU4zalKnh8LCtChTdRKLqyTxFec6nsqCnUqScMPRTlGfl9f5s/wDwX2/5S1ftY/8AdCf/AFmn4N1/pMV/mz/8F9v+UtX7WP8A3Qn/ANZp+DdfU8Ff8jXEf9gFX/0/hz5vi/8A5FtD/sNp/wDpmufjvRRRX6gfnJ/fR/wa6f8AKOX4of8AZ7HxX/8AVFfsw1/RxX84/wDwa6f8o5fih/2ex8V//VFfsw1/RxX4vxB/yO8z/wCwuX/pugfreR/8ifLv+waP/pdcK1If+QLqH/YU0f8A9JNcrLrUh/5Auof9hTR//STXK8c9Uy6KKKAMzxP4k/4Q3wD8SvF/2L+0f+EV8B614k/s/wC0fY/t/wDYctlqf2L7X5F19l+1fZfI+0fZrjyPM83yJtvltp1meJ/En/CG+AfiV4v+xf2j/wAIr4D1rxJ/Z/2j7H9v/sOWy1P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y206wUv9pnD2t7YanP2HJ8PNiK0Pbe068/L7H2d/d9n7S3v3PRlRtlFDE/U+XnzbF4f+0frF/a+zyzAV/7P+q39z6v7b699at+9+t/Vrv2FkVqaH/yGtH/7Cmn/APpXDWXWpof/ACGtH/7Cmn/+lcNbnnGXRRRQAVqa5/yGtY/7Cmof+lc1Zdamuf8AIa1j/sKah/6VzUAZdFFFAGprH/H3D/2C9D/9Mun1l1qax/x9w/8AYL0P/wBMun1l0AFamof8emh/9gub/wBPWsVl1qah/wAemh/9gub/ANPWsUAZdFFFAGpD/wAgXUP+wpo//pJrlZdakP8AyBdQ/wCwpo//AKSa5WXQAVqaf/x6a5/2C4f/AE9aPWXWpp//AB6a5/2C4f8A09aPQBl0UUUAamj/APH3N/2C9c/9MuoVl1qaP/x9zf8AYL1z/wBMuoVl0AFamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXl/xJ/wCYL/3Ef/bCvUK83+Jnxk+EHwV0mw174x/FX4b/AAl0PVdRGkaXrXxM8c+GPAek6lqxtp70aXYaj4p1TSrO81E2drc3YsreaS5Ntbzz+V5UMjqnKMbOUoxTlGKcpKN5SdoxXM1eUnpGKvKT0jGT0Gk5X5U5WTk7Ju0Yq8pOydoxWspO0YrWTitTyevzo/aJ/wCCQH/BOv8Aac+Ker/Hj44fs8f8Jv8AFb4g2GjTeL/FX/C2vjn4a/teXwvpsHgbQm/sPwh8TNA8N2H2Hwt4X0LS9ul6PZLc/Yftt4LjUbm8u7j9r7S8tNQtLW/sLq3vrG9t4LyyvbSeK5tLu0uYlmtrq1uYWeG4t7iF0lgnid4pYnWSNmVgT4H4F8X/ALM2ifGP4ufD/wAB/Ej4XP8AHfx94rtfib8XfhvpvxP0fWviRP4k0f4afDf4a2/iHVfh9N4jv9c8M29p8NvAfw40uS20/RNH0c29lZ63cWj6rrmo6nqfRRr4nC13HD1a+HxLjVg40p1KOIcaXvV4uEeWs1S5HKtF07UuRuqqXK3HCrRw+JoqVelRr4dOnNSqxp1aClV92jJTlzUr1edRotT/AHnOlSdTmSl+Lf8Aw4J/4JK/9Gn/APmdv2lv/nyUf8OCf+CSv/Rp/wD5nb9pb/58lfuvq/xw+C3h/wCIujfCDXvi/wDC7RPi14jt4Lzw98LtX8f+E9N+IuvWl0t61tdaN4JvNWh8S6pb3C6bqLQT2OmTxSrYXpjZhaz+X6jXSs2zVxU1mWPcJOcYzWLruEpU5clSMZqo4SlTn7lSMZylTn7k1CXunO8sy1ScHl+CU4qEpQeFoqcY1I81OUoOClGNSPvQcopTj70HOPvH5wfswfsh/s7/ALFvwluPhb+zP8Pf+Fa+BNf+Ivijx/q2hf8ACWeOPGP2vxbqnhrwH4dv9W/tPx/4m8VazB5+jeFdBs/sFtqEOmRfYPtENlHdXV7Pce/19QVh+JvE/hvwX4f1nxb4x8Q6H4T8K+HdOutX8QeJvE2rWGg+H9C0myiae91TWdZ1S4tdO0zTrSFWmur29uYLa3iVpJZUQEjhrVpTlUr16rlKTc6tatUu2/dTlUqVJL+6nKUl9lX2T7KVKMIwo0aajGK5adKlCyS95qMKcIv+8+WMX9p23t891qQ/8gXUP+wpo/8A6Sa5Xq/w/wDiT8Ovix4atvGfws8feCviX4PvLi7s7TxX8P8AxVoXjLw1dXdhM1tf2ttrvh2/1LS57iyuFaC7giumltplaKZUcFR5h8SvF/7M3w++Lnwv8ZfFv4kfC74f/F+Xwp49+GXwl/4Tz4n6P4M1rXfDfxL8TfCzVfHPh7wv4X1vxHpdn4suNa8T/DX4XZuYNH1XWNMu9Ns9O0m70+LX9VtdVTjJThTcZKpUnCFOm01UqTqpSpwp02lOpOpGUZU4QhOdSMoypwqKSbalFwnUUk6dOM51JppwhCm2qk5zTcIQpuMlUnOcIU3GSnKDTSw6K998XeMfCPw/8N6v4y8eeKfDngnwhoFt9t17xV4u1zTPDfhvRLMyxwC71fXNZurLS9NtjNNFD595dQxebLHHv3uoOvp2o6fq+n2OraTfWeqaVqlnbajpmp6dcwXun6jp97AlzZ31jeWzy213Z3dtLHcW1zbySQTwSJLE7xurFLXmtryOCnbXkdSM501O1+V1IU6kqalyucadSUFOMJyg3py305lJxvpzKEoxm43tzKEpwjNx5lCU4Rm4ynCM/ljxP4k/4Q3wD8SvF/2L+0f+EV8B614k/s/7R9j+3/2HLZan9i+1+RdfZftX2XyPtH2a48jzPN8ibb5badfUFFRyz9q5c96bpxiqXKtKiqTlKpz7vmpyhT5Nlyc61kzodTDvCQorDWxUcXWrTxntZv2mFnhaFKlhPYW9nH2OJp18V7dPnqfWPYyShSi38v1qaH/yGtH/AOwpp/8A6Vw13em/HD4Laz8SNV+DmkfF/wCF2q/F7QreS81v4V6b4/8ACd98SNGtIbezvJbrVfA9rq0vifTreK01HT7qSe70uGJLe+s52YRXUDO742aJ8K/E/wAHPir4W+OV1odn8F/Ffw78ZeFfixceJvEsngzw+vw68TeH9Q0Lxkms+LYNV0O48NadP4f1C/gutctda0m70uKRry11KyuIYriOnKKpxquUVSlFzjVckqUoRk4SnGq2qcoKacHKNSUVNODkppwWCTc5Ukm6kZKMqaTdSMnHnUZU0nUjJwamoypxk4NTUXFqT8uor2LwZ8Vvhd8RvBzfET4e/EnwD48+H6DUi/jnwZ4x8O+KPByDRTIusFvE2iajfaKo0loZl1Im+AsDFILryijYy/hh8cvgn8bbbV7z4MfGH4WfF208Pz2ltr118MPiD4S8fW2iXOoRzy2Fvq8/hTV9Wi02e9itbmS0ivWhkuY7ed4VdYZCtcsuaUOWXPCnGtOHK+eFKTio1ZwtzwpSc4KNWcIUpOcFGpJzgpTzR5Yz5o8k5ulCfMuSdWKk5UoSvyzqxUJuVOMpVIqE3KnFQm4+Y1qa5/yGtY/7Cmof+lc1fRlFIZ8v0V6f48+OHwW+FmteF/DfxO+L/wALvhz4i8cXBs/BWg+PPH/hPwhrXjC7W7s7BrXwvpfiDVtOvvEFwt9qOn2Rg0mC7lF3fWduV866gR/UaF70eePvQU5U3OOsPaQs50+ZXj7SClFzp83tIKUXOEFJNj0lyvSXJGpyvSXs53UKnK7S9nNxkoT5eSbi1Gcmml856x/x9w/9gvQ//TLp9ZdbnwM8X/szeb44+F37P/xI+F3ibUfDHjv4l+NviH4M8EfE/R/H3iHwr46+KvxQ8Y/EP4jXvinToPEev654auNb+J/ifxjfSaTqK2Fho99Pc6Bo1hpmm6Za6VZdZovx6+BniT4iav8ACHw78Z/hPr/xY8Pi+bXvhfovxF8H6r8RNEXTDCupHV/BVjrE/iXTRpxubcXxvNMhFobiEXHlmVNxH3nSUfedem61FR951qMYe0lWoqPM61GMPflWoqrSjD33VUPfB+77Ry91UaipVnL3VSquXIqVVy5VSqubUFSq+zqubUFTc2ovzetTUP8Aj00P/sFzf+nrWK+jKKAPl+ivoTxN4n8N+C/D+s+LfGPiHQ/CfhXw7p11q/iDxN4m1aw0Hw/oWk2UTT3uqazrOqXFrp2madaQq011e3tzBbW8StJLKiAkY3w/+JPw6+LHhq28Z/Czx94K+Jfg+8uLuztPFfw/8VaF4y8NXV3YTNbX9rba74dv9S0ue4srhWgu4IrppbaZWimVHBUC95zUfedNQlUUfedONRuNOVRRu6cakk405TUIzknGDnJNIfu8jl7qqOUabloqkoJSnGDdueUItSmoc7hFqU1BNN+UQ/8AIF1D/sKaP/6Sa5WXW58SvF/7M3w++Lnwv8ZfFv4kfC74f/F+Xwp49+GXwl/4Tz4n6P4M1rXfDfxL8TfCzVfHPh7wv4X1vxHpdn4suNa8T/DX4XZuYNH1XWNMu9Ns9O0m70+LX9VtdV9v13XdE8L6Lq/iXxLrGleHfDnh/TL/AFvXtf13ULTSdF0TRtLtZb7U9X1fVb+a3sdN0zTrKCa8v7+9nhtbO1hluLiWOKN3CcoqEqrlFUoynCVVyiqUZ00nUhKo2qcZ01KLqQlUjOmpRdSMFKLk1GTnGkot1ZKEo00m6ko1ZctKUaaTqSjVl7tOUaco1Je7TdSXunzpWpp//Hprn/YLh/8AT1o9e4+G/EvhzxloGj+K/CHiDRPFfhbxFp1rq/h/xL4b1Ww1zQNc0m+iWey1TR9Z0ue607U9OvIHSa1vbK5ntriJlkildGBO3VSjKMnGUZRlFuMoyi4yjJaNSjJRlFp6NSjFp6NJkxlGSUoyUotXUotSi1rqpRcotaPVNrR66O3y/RX1BXl3gj44fBb4m+IfFPhL4b/F/wCF3xB8V+BriSz8beGfBHj/AMJ+LPEPg67ivrnTJbXxToug6tf6l4euItSsrzT5INWtrSVL60ubRlE8EsaJe9Lkj70+SVTkjrP2cGlOpyK8vZwcoqdTl9nByipzg5RTb0jzPSPPGnzPSPtJ3cKfM7R9pNRk4Q5ueaTcYSs7cJo//H3N/wBgvXP/AEy6hWXXd/HqT4HW/wAPV1H9ojxJ4N8JfDTw545+Fnjp/EHj7xvb/D3wzpXjf4a/Ezwl8SPhdqF54mutb8P2sU2m/Erwl4U1Oz0u81L+ztfurKLQ9VsNV0vUL3S7zoLr4wfCSx+HCfGO9+KXw5s/hFJpdprcfxUuvG/hm3+HD6LqFxDaWGrp44l1NPDDaXe3Vxb21pfrqhtLm4nhhhleSVFZc0VGpNyioUnCNWTlFRpSqK9NVZNqNJ1FrTVSVN1FrTU1qPlk5U4qLcqqk6UUm5VVB2m6UUuaooPSbpxqKD0m4PQ8krU0P/kNaP8A9hTT/wD0rhrsvhf8ffgT8b21pfgv8avhL8Xm8NjT28RL8L/iP4O8ftoC6sbwaWdaHhTWdWOlDUjp2oDTzfeQLw2N4LfzPss+z1qqcZRtzRlG8YyXNGUbxkm4yXMo3jJJuMleMkm4ykk2pUk72afK3GVmnyySTcZWb5ZJSi3F2klKLcUpRbKKKKQwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/C/wCN/wAOPh9+0R/wWQ0/4U/Hzwn4d+IXwx8E/wDBPXxJ4u8G+EfHFppGveGbLxV4k+KUWga/4nsdF1W1uLS216PRiyRao0bahZPpGn6naXFu+mWskP7oV8OftZ/sB/CT9rrX/B3jbxD44+Nfwb+JfgnRtd8Kab8Uf2e/iBH8OfHmoeBfE0M8eveANd1O50TxFY6r4Q1KadrubT5tMW6jma5gt76HT9U1iy1HkxVGdV03CEJ2w+c4a05cvsama8PZzk+Gx0NHepl2KzCji4xg4V3TliXhatLFww8zenNKjiqXtZ0J1o4FwrU4804/U86ybM6tJK6SWKoZfWw95qVL2nsFXhPDTxEZfM//AARo8U+K9Q/4Jh/DC71A3l5ceFB8YvD/AIPury8+0TX3h7wv4+8X2vhuKK5uvNjjtNNWD+wLGNla3trPSoIlTyYwtfi/8JvBvhXw/wDsTf8ABMz9rTw14Z0eX9qnx/8A8FMNNi8Z/Eu2j0+P4k+Oh4u+KfxY0fxJ4X8SeKreFNd1fR9W0zRtJt7jSby8lsYxe3lzHbxnVrlp/wCmTwd+xt8PPhov7N+kfCrxv8Y/hb4A/Zn0vxJpPh74TeBviBNpfwz+JMHiazEF3P8AGrw/c6df3PxCvrLUGu/EWmXlxqenzW3iLUdQ1ORp2uDEvgfgb/gk/wDsxeAPjppfxp0jW/jRe6L4X+IOtfFrwB+z3rfxIfUf2b/hr8UdeWJr/wAfeBvhudGhutK8QLdi51CzN14i1DTrG6vClpp8VnpuhWmk+u60JZ8sxcpeyeJyKTxDjfFKjw5neGx9eThG11xVhaU44ilSnTeEqctLHqrScPY8VSLlldbCQo06cqk8+xEcHCX+ywfEWT8RZfh8GpyTXs+GMRmuBrUKvs+XEwwUZZfGhXpwkvwf+Lfgnwd4x/Y8/wCCtH7U/i3QNHu/2mfh1/wUSu9N8A/FK9TS7n4i+B9P8EfEz4S6J4Q0Twr4qW3XV9E0u00nV9TsYrDSbm1s7q3srJXhk/se2MH9efhO91HU/CvhrUtYtTY6tqHh/Rr3VLIksbPUbvTrae9tSx5Y29zJLESeSUya/Oz4kf8ABKD9mP4ofHDW/jPruufGnTdH8aeM/DnxH+J3wB8OfEiTSf2dfiz8QvCzSSaX40+Ifw6Gj3Fzq+uef9kubw2PiHSrC8ubITzWDSap4gOsfpkAFAVQFVQAqgAAADAAA4AA4AHAFceD/c5VRwk/dqxWSQdCPvUcO8n4VwHD+KrUqi5YylnGNwlXNaiUFUiq3+0ynjHWqVNsX++zKtiYK9KVXO6yrS0q1YZvnlDNsLhZQd5Rp5Rh6U8HTlOcoylWn9VjTw91Ja/G7/gsko17wb+xT8MNbBuPht8W/wBvf9n7wT8UtKmuoYNL8Q+EJ7/Vr2XQdbglUi90q6u7WC9lhdvsyXGn2086O0UJT9ka+fv2m/2Z/hh+1n8JtW+D/wAVrfW00S9v9M17RfEXhTVm0Dxp4I8XaFM114e8aeC9eFvdrpPiXQbpnmsbi4sr+wmjkuLHU9O1DTbu7sp4leNbA1vZRxEcHmuU4+rhpOEY4mjgMxw+LrUL1Yzo806dPnpKtCdGVfC4aNaLpzm43Gzp4yl7R0ZYrLM2wNOvFTcsPWx+VZhgaGISpyhUtRrYqnKXs5RqqnOtKk1VjTPze/YL8M6B8Jf+Cj3/AAU6+Cvwr8MaP4O+DGixfsyeMdL8H+E7Oy0XwZ4S8YeJ/htLPrkGg+G9JhtdH0RteZrie7t7C0t0UaNbQ7FSBFX4r+Onwz+HPx5/aJ/4LoeIPjf4T8O+M9e+BX7Mvw5sPgpfeLbbSNZvfhxZRfBPxl40i1PwLPe20s3he+m8V6dYai99pTWuoLPqV9az3LjVrpJ/1o8Cf8E3fhh8Nfg58V/hf4M+N37VOjeNPjb4n0PxZ8TP2nrf4yMP2pPEup+HL+1utFiuPimPDghgsLLT7aTw99lt/DkQuND1DVYbp57/AFG61B8v9o3/AIJdfAD9pf4gD4keJ/HHx98B67rvg7RPh98W7T4S/FF/BWjftB+CvD1xZS6X4d+N1h/Yept4rs4YbR7GSfTLjw/qFxZ3RWe9kn03QZ9IxxGHlWw+Cw3tVOphuHcVw+8ZUVTnp4jH4Km1nFJNyrcuWVYzyeNJSjmFbBTni8NVjFulU1oV40q+LxHseWGIzvK85+qwdO1SjlGPy2dXLKzShQvnlHB4jHVqih9ToYjESw+KhVnJ1T8nf2zvhX8Sfjf/AMEbvhN8ffiL8b/iXp/h/wCH37IvwR1dfgjo8lhYeG/iB8R7zWPCel2/xK+KfiJ0utf8bW7+HL/TNT0PwnO1jYaR4nsrbxNHfTzXF7YXH9En7PX/ACQH4Hf9kf8Ahn/6heiVx3xx/ZY+F3x2/Zq8QfspayuueCvhRr3hXw54Lht/h7c6VpOseHvDnhS+0a80TT/D1xrmjeI9LtY7RdBsLJRe6PqC/YhJGqrMyTx+2+DfC+n+B/CHhXwVpM15caV4Q8N6H4X0y41GSCXUJ9P8P6Xa6TZzX0ttb2ltLeS21pG91Jb2ltA87O0VvDGVjX1a2IhUxHEc4KcaOZ5/hc1wkZpOpKH1HOaWMrYmScrYmriMZhG4OdSEYSnSw3scJhaNF+ZRoTp0MihNxlWy/KMZl2IlFtQipY7K6+Co0E1FSo0qNDGLmVOnJzUZ1uerXTo9JWP4iurqx8P67e2KeZe2ej6ndWaBo0L3VvZTzW6b5VeJN0yIN0qtGucurKCDsUEAggjIPBB6EehrzMVSniMLisPTquhUr4XE0KdeN+ajUr4bEUadaPK4y5qM60K0eWUZc1KPLKLs130ZxpVqNWdONWFOtRqTpT+GrCnVpVJUpW15asacqcra8tSVj+OT4TeDfCvh/wDYm/4JmftaeGvDOjy/tU+P/wDgphpsXjP4l20enx/Enx0PF3xT+LGj+JPC/iTxVbwprur6Pq2maNpNvcaTeXktjGL28uY7eM6tctP+xX/BZJRr3g39in4Ya2DcfDb4t/t7/s/eCfilpU11DBpfiHwhPf6tey6DrcEqkXulXV3awXssLt9mS40+2nnR2ihKeveBv+CT/wCzF4A+Oml/GnSNb+NF7ovhf4g618WvAH7Pet/Eh9R/Zv8Ahr8UdeWJr/x94G+G50aG60rxAt2LnULM3XiLUNOsbq8KWmnxWem6FaaT6Z48/YD+GHxW+Fnxe+EvxW+Jv7QPxM0T4qfFS7+MWi6540+Jzat4u+Bfi7z47rw9F8AtaGiQL4B8P+CbqN5fCeg3Fnrthax3N7Y6mmrabfXdlN1urCUMDL6rCEMNn2Az95ZF0nhsPQwUeCsJLIMLJ01h5U5xyLH5nRrzw8cCqmEyzD4igq+LxcqeUoN1se1XnKWJyvO8ojmElKOJrVM4xPHGNoZvXjCSqRnl8c/y7LpUVUli5xrZhVwlWnhsJhKcvyz8CfszfB/xr+0x/wAFg/2N5NT1H4Dfsl3ei/stePvE6fCXU/B3w88P+AbseCbfxj4tt9Mj1bw5rPgzwhofiMaRPL4uMeh20Q0PRpbR57O3QunoX/BPf4afD/4n/tv/ABE/a7/ZM+FWn/Az9izwl8FP+GbvB+oaD4Zs/A2j/tQ+ONG8Xm/1/wCJ2k+FLG1077T4d8PSWC6K3jLVLFNR8Qapp9lHJO+tWvi3SfDn1vF/wSl+A0f7PXxm/Z+m+KH7R2pyftD+JNE8SfG7446/8R9E8SfH74lv4cvbe70XRfE3jjxD4J1PSLjQLGG2j0wWFv4VtpJ9Oe6S6uZ7m/1C6uu0/ZX/AOCemgfsm+JtF1rwr+1X+2x8TPDPhzwhL4J8P/CX40fHKy8ZfB/Q9GEFha6adI8B6d4K8Oafplz4fs9PhsvD32KWC00mzkmt7e08plVFgrYephuepJyweS4bARxSU5LG4yWV5xgsXicZByeKrUcFgsxp5HlOFq1XhoydfO8XRqVqGBROM/f0sRyUor63mksVLDtwX1TCUsTkFaMMNJRWGhiszx+TvOcyxVOmq9Ok1leEqqpjcwqv9BqKKKgs/mJ+Onwz+HPx5/aJ/wCC6HiD43+E/DvjPXvgV+zL8ObD4KX3i220jWb34cWUXwT8ZeNItT8Cz3ttLN4XvpvFenWGovfaU1rqCz6lfWs9y41a6Sf9CtM+JfxJj/4InQ/E9r/VrX4lQfsBy63Brv8AaTLrh1K2+EMiWXigapceZKNUubSODXxdljcG6mDxOs5Rx6p+03/wTE+AH7UvxNu/ir4n8X/HP4b674o8MaZ4I+Lek/Bf4lv4C8M/HnwVo17a3el+FPjFpP8AYurN4k0myht30yM6ZdaDqEmm3CxT38s+maDcaT9AR/sseCIfHFn4hg8XfFCH4c2XwL/4Z8i/Zpj8Xr/wzVJ4MG63XVrj4YvpjibximisPDC6++snPh1V05rNiDMeOWHnUyDF5U3ClVxWX4DL1Ftyw0K2VYbi6VXMZumlOU+IK2eYPB4mMYSr4enUx2IxksTSoYeFXrVeEM6wuZKMqlLDZjWzFNJRrujjKPBuDjltLnbjGGVPIsfmtGdWf1atXjg6GHp0q2IxVaP4GfAz4b/DT4B/Ff8A4IReN/g54S8MeDvEfxo+AnxSh+OOs+G4dM0K88e6Pd/BHwl4w1zW/iBqOnx2s/iF/D+uarrGsxX2uz3UlgdKtbRZo4dLt44Ok+NXwM/Z1+Af7R//AATw/aI/Z58M/A2X9jrUf2mdN8NRfFz4CeNb74g/tCeM/jz8S7zxzYFfHHxZ8R6t4xs/iB8D7LW9GtrDXNEtfGN54i0ov4z0myt7UvY2q/qP+zd/wS4/Z2/Zm+Jth8UPDnin44fEa/8ACWgeIvCXwg8LfGb4lP4+8EfAXwl4ru7ufXvDPwf0KXRtNl0DS9Qs7ttHnbWb/wARahJpiOJL576/1e+1HmPh/wD8EiP2Vfhz8YtB+Kej6x8a9S8L+CviFqHxZ+G37OuvfEqS/wD2b/hf8TL+e2ux418C/DiLRrS707WbG7tzc6f/AGh4j1SxgeVYnspbWx0m3072PrFOeZ4DGOMqNOlnOZ5xPlUZTwmEzDP6mZ/2A4QcPbUcLgpuWXV8JVpYTC5244nEYbFYCjTovynQnHL8bhPdqzqZThspV24xxWJw2WZphqWdqclL2FVYvF4DD4mni6VfF4jIsDWw1OvRxuKhPD/qPRRRXGdR+N3/AAWSUa94N/Yp+GGtg3Hw2+Lf7e/7P3gn4paVNdQwaX4h8IT3+rXsug63BKpF7pV1d2sF7LC7fZkuNPtp50dooSmd+wX4Z0D4S/8ABR7/AIKdfBX4V+GNH8HfBjRYv2ZPGOl+D/CdnZaL4M8JeMPE/wANpZ9cg0Hw3pMNro+iNrzNcT3dvYWluijRraHYqQIq/pD+03+zP8MP2s/hNq3wf+K1vraaJe3+ma9oviLwpqzaB408EeLtCma68PeNPBevC3u10nxLoN0zzWNxcWV/YTRyXFjqenahpt3d2U/zl4E/4Ju/DD4a/Bz4r/C/wZ8bv2qdG8afG3xPofiz4mftPW/xkYftSeJdT8OX9rdaLFcfFMeHBDBYWWn20nh77Lb+HIhcaHqGqw3Tz3+o3WoOsC3hZ4yU4/xJ5zJcklfHQzvA8IZdQp4i6TpxyJ5HmGNpKcqka0a1Clg1SxFfFc1YtRxMcHBSso0csozc4yawU8szzO84rYqik3KpUzPD5hh8tkqTpSgnXlipVMLTpU5fkv8AHT4Z/Dn48/tE/wDBdDxB8b/Cfh3xnr3wK/Zl+HNh8FL7xbbaRrN78OLKL4J+MvGkWp+BZ722lm8L303ivTrDUXvtKa11BZ9SvrWe5catdJP5L+05+1tL8Yv2F/2fv2PvEfxf8PfCvWLj9g7Q/wBoj9oDxf4w8eeH/D3iPx3F4Z+Gz3vwW+CnhBfEWr2V74w8afGnxhpfh/xF4p0rTYb7U18KtbmG3vV1ie2H7XftG/8ABLr4AftL/EAfEjxP44+PvgPXdd8HaJ8Pvi3afCX4ov4K0b9oPwV4euLKXS/DvxusP7D1NvFdnDDaPYyT6ZceH9QuLO6Kz3sk+m6DPpHsPxT/AGBv2P8A4v8AgvVvB3iv9nv4Q/ab74bD4VaP48t/hh8PL74l+CvC9n4Zfwp4cfwZ418R+Ftf1TR9U8GaWYG8IXkpvY9Fu7Kznit5FhMbck8PP+yZYFOM1GnlmHlho3hTxNXJqPF/ss1jUmvZRq5ljs+yvH4nC4uE3U/s6eGzCpWhCisR0U8RF5nSxsoOm5YirivbSaqSwlDMaHBWFxWU8tO1WrRweGyDOadPE4acUnmbr5fSpYqq61DiP+CXni7wn4u/YE/ZYbwp4n8PeJ18N/BrwF4S8RN4e1rTdaGgeKtF8MaUus+GdaOm3NyNL8QaS08C6not95GpWDTRC6tojIm774rw39nH9nf4YfssfCDwh8FfhJosGk+FPCWm2lo18+m+HrHXvFWqwWNpYXni7xlc+GdE8PabrnjHW4rG2k13XzpVtc6lPEjyqFjjRPcq9rMq9PFZhjMTScnTxGIqVk5RcG3U5JTai25Rh7X2vsozbqql7JVW6vtDycvo1MNgsNh6qip0aXs2oy5klGriHC8klGU/ZTpe0cUoe05/Z+4onyh+3b4m8R+DP2Lf2qvFXhC8u9O8TaD8AfirqWiajYXSWV9p1/b+DdXaHUbK7dW+z3Vhzd28qASpLChhZJtjr+FXwD+GPw8+Bnxf/wCCDfi74I+C/Dvhjxb8cPgX8TbL40ah4VtNO0nU/iLp+ofBTwj4s1bVPHV1pkMF14nuNE8Qatq2rW1zrUl5NaSaZaWMciRaZbxQ/wBN2v6Do3inQta8MeI9NtNZ8P8AiLSdR0LXdIv4lnsdV0fVrSaw1PTr2Bvlmtb2yuJra4ibiSKV1PBr88f2c/8Aglv+z3+zR8SbT4neFvGXx58dap4U8O+JPCHwb0H4s/FCXxt4U/Z68LeLLm8m1vQvgppT6Lp0/hm1ubW8/sz7Rq994i1EWMRZr57++1a+1Hz8I5YbH1MU4c0VVy7GQlCUY1a0csyvjLB1MmlzL93h81xHEOArTruTw1J4fEzxNKdSlg5rtxVq+Bhhov3vZ5vhpQkn7KMs2/1aWHzNtX5quU/2NiqlOlCMcROVTDxw1Wk54mS+fP8AgoR4e0H4qf8ABQn/AIJb/BH4naHpXi/4NeJdd/aN8X+IvA3ii303V/B3inxV4O+GcN14VXxB4b1S3ubHWhp1xNIltb6jDc2k8WqXtksDfa7hZPy8u/CXjrxR+yN+2Z+xr8FJfhlofhfxB/wVz1n4LfCzQ/iT8TPA/wAPfA8Hg2DxNpXjG58D+HofFev6HPrmn6f4g0Hw5cf8IL8NbXXfHGqQ65ft4d8NalKLhF/d3xx/wTe+GHxJ+C3w2+E3jf42/tT+IvFvwf8AGmqePPhn+0xqHxkaX9qDwdrutajPd6iulfFL/hHBAdOm0+ceHo7G78O3MVrotppv2Uw6tpWm6raRT/8ABL79l25/ZW/4ZMmtvH8nhf8A4TI/FI/FB/F5f44P8Zmne5k+M7+PH0xrZ/iLK8ssb37aCdFNlI2mjQhpuLQTRpxoU60Jc1WEcTUqShRcaMsyjiuMOD+J415yr06tOjicpw2QV8toQxkK9LEypUKdN0svxuIhS0rVHVq0pwtCSw+HpU6lRSnHL6mX5Jx1k/NTjSnTrzp5vV4jy3GV/qtWhWwtOlVdV1sbg8LzeD/8E3PGl/4S+Of7T/7J/wASf2Wf2UfgH8cvhNpvw38V+JPGX7G/gdPBvwo+J3gvxXp1xe+FI722vtMtfFX9s+Gn1O8+zP4kvZHvRq2rfYNH0ddPubnWv2Kr49/ZR/Ym+FP7Ix+IOseE/EvxU+KHxI+LGqaZqfxK+M3x18cSfEX4r+NF0G2msvDmna14lOnaPavpvh+zuJ7bTorXSbW4kikT+0rnUHtbNrf7Crqqz54YRSnGpXp4LD0sVVhTqUaVXEweI5pUaNSrVlSpwo1MJQaUoQq18PisVTo4eGMjRjyUock8U4wdOjPF1amGpznCrVp4d08LCMataFOmqkpVaWJqw5vaTo4athMJOtWlhHUZRRRWJsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9k=
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+XvjR+3B+xZ+zf4ptPA37RH7X37LvwF8bahott4jsPB/xo+P/wAKPhb4pvfD17d3thZ69aeH/HHi3QtWudFu77TdRs7bVIbR7Ge70+9t4p3mtZ0j9b+FPxh+Enx38EaX8TPgf8Uvhz8Zfhvrc2oW+i/ED4U+N/DPxE8EavcaTf3Gl6rBpfivwhqesaDfzaZqdpdadqEVpfyvZX9tcWlysVxDJGvxX/wVD/5N6+Ff/Z93/BOD/wBbv/Z7r5d/b1/aP/aI8I/Ez9stvhr+0tL+zloP7C/7BHg79sPwx4Sh8DfCLxRoP7QvjPxHrv7Q0l/o/wAarz4leAPHHjBfgxpi/AXw74HGm/AjxB8HviSNU8e+KLqTx7LeyeCE0opSh7FzruSm8fj8Nz0oTnSo4bLsuybNcVi6lGMa+NxM44bPMJRhg8vo4jGV69OrPDUK0ZKhDqWEq1q2CpYXllLF4ajUjCtJRlPF4rP6fDWDwsKqUcPQhiMxq06k8ZjHSwmCw0nLG1qcKcsRL9vK5zwt4x8I+OdMn1vwT4q8OeMdGttb8R+GrnV/C2uaZ4g0y38R+Dtf1Lwp4u8Pz3+k3V3aRa34W8U6Nq/hrxHpUkq3+h6/pWpaPqcFrqNjdW0X4AfHn9q79rTTfF/7d/xb8KftWSfDfTv2Nb39jPXPh/8AsgN8MvgTrWk/Eq8+OvgD4T69r/ws+LPiDX/CesfGPUR8WfFWsa18NPgk/wAMvHPws17Q/ibq2szXvir4kaRFongvwn03wt/aR/am/aa8efCn4B3v7UXjH9nCPxR4o/4KqeNNQ+Nnw+8A/s333xC8Vab+yV+29cfAL4U/Bnw7afGT4U/E34W2fh/wR8NvE1n4h+ImpR/DDU/H/iO38NeFb0eONIaXxnqPiBxjOVKtNRTnQS9pR9th4umuXiPEuo8ROssHVg8DwrnOIjGliedOlh4ucljKVSlxwqUp0aeIjN/V6v1OVKv7KvJVI4zCZTWhBYenSniadSniM+yjC1ZVIezhKtiKzj9Vw8sVP9/K8S+J37S/7OPwT8V/D/wH8Zf2gPgl8JPHHxZ1H+yPhX4M+J3xW8CeAvFfxL1b+0dM0j+y/h/4d8Va9pWr+MtR/tbWtG0z7F4cs9Suf7R1bTLLyvtN/axS7/wV8Qf8JX8Ifhj4jPxS8D/G+TWfAnhe/uPjH8NLPTtP+H3xRup9GtGu/H3gvTtI8UeNtK07w14quvO1rSNP07xh4nsrGyvIrW21zU4olu5fzT/4KxaD4V8TfsnftxRfDDXf2erX4taH+y3qOo/tU+GtU8G+H/FHx5+If7Kln4b+LGr6R8KdN8Taf4httf8AhBqnj+7s/iTpfwR+KXj7wB8Z/BnhTxRL401Hw38J/EeuDULrTarQ+r4yFCclUpQx0MPiKkIVqcvq7x2CwVTFU4V8Oq1GlSWNpYutPE4GpUw+G9mqmBliKyo0+jBUnjHCmlKlWrqFKim6E4xxdWpOlSoVJe3o0KlSrXpywmGprG4OniMbOjSljsFR+s4jBffvjb9q39lz4afFTwl8CviP+0n8Avh/8bvH40dvAnwc8bfGL4d+FPip41XxFqd1ovh9vCXw913xFYeLvEg13WbG90nRzo2kXo1PU7O6sLLz7q3liT32vw6vfGfx0/Z++N/7QP7U/hH4i/s2/EX4ReM/2iv2HP2cfFH7PelaJ8QPiL+094V0LxbovwC+D+heC/FHxQtvi74f8J/BTx98OvFPx38Y/He6+F+r/Av4raj408HeIrO5u/GPhOfx2mueGf3Fq3RlHD06k7qr7fEYfEQfLH2NWKeJoUnBSrXlLLa2AxUq1PFYrDVZYucKFSKw8Xi+OnVdT2c7Q9lXwuHxFCUJzqc96OXfW25Tp4apBUcbjquEVHEYHCYiDwspzVX2k/qpRRRWJsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHOeKPB3hHxxp1rpHjXwr4c8YaTYa94b8U2Ol+KND0zxBp1n4n8G69p/irwh4jtbLVrW7trfXvCvifSNJ8R+G9XhiTUND17TNP1jTLi11CytriLzr4nfs3/s8fGzxJ8PvGXxm+AvwX+Lni/wCEurHX/hV4q+J3wu8D+PfEnwz11r7S9TOtfD7XPFWhatqngzVjqWh6JqB1Hw5dabeG+0fS7szefp9pJDo+O9R1Cz1e2itL+9tY202GRo7e6ngQubm8UuUikVS5VVUsRkhVBOAMcV/bmtf9BjVP/Bhd/wDx6mm4ypzi3GdKtHEUpRbjKliIxUI4ilKLjKliIwShGvTlTrxglGNeMUopttxlFtuM6NTDzi23GeHrNyrUJxbcZ0KrbdWhKMqNVturRqNtvyzw7+wV8DIP2pvi5+1p8QvAfwn+K3xP8Z+N/AnjX4T+JvGfwd8H6t49/Z9u/CHwm8G/C/U4vh58Rtb/ALd8Q6ZceKT4OtNev9Q8NL4QkjMlvptxDqJsI9Ql9a+IP7I37KPxa8DW3ww+Kv7Mf7PXxM+Gtl40134k2fw8+IPwW+G/jPwNafETxRqev614m8fW3hLxH4a1LQIPGniLWfFfijVtd8UxaemuavqfiTX7/UL64utY1GW5861X9of4Xf2pqX2b45eAfs32+8+z+R8TPDvkeR9ok8ryfL1vy/K8vb5ez5NmNvy4qh/w0P8ADT/ouXgb/wAOZoH/AMu69WHDHEFPD0MJHhvP1hsNCMKFH/V7PHTgo4nEYxS5XkTjKr9bxNbEutKLrSruFaVWValRrU/HfE/D7rVsQ+Jcg9tXkp1aq4iyNTm44WngopyWfKShDB01hoU1JU6eHnXowhCjicTRxH2dYWFhpVhZaXpdlaabpmm2ltYadp1hbQ2dhYWFnClvaWVlaW6R29raWtvHHBbW0EccMEMaRRIqKqjx34jfs0fs4fGHxv8AD74mfFz9n/4JfFL4kfCW/t9V+FXxB+I3wp8CeN/G/wAM9UtNVstctNS+H3ivxNoOp694Mv7XW9N07WLe88OX+m3EOq2FlqEci3drBNH4n/w0P8NP+i5eBv8Aw5mgf/Luj/hof4af9Fy8Df8AhzNA/wDl3Wr4e4llVjXlkHEcq8KzxEK7yLiB14Yhuq3iIVnkzrQrt167deNaNduvWbrN1qzq5riLhqNOVGPEPDkaMqX1eVGOfcPxoyocsYewlSjnSpSockIQ9hKlKjyQhH2PLCEYe2al+zR+zhrHxp0X9pLV/wBn/wCCWq/tE+G9NOi+Hfj3qXwp8CX3xp0DR203U9HbSdF+KV1oMvjnS9NOka3rOlGwsddgtTpur6nYmL7Lf3UUvttfGum/tD/C77RJ9o+OXgHy/sGq7fO+Jnh3Z5/9l3n2bG/W9vm/afK8jHz+f5fl/vNtUP8Ahof4af8ARcvA3/hzNA/+XdSuHOI1CFNcO8QqnT9p7Omsgz5U6ftqs69X2dNZIqdP2tepUrVeSEPa1qk61X2lac6s2+JOHJTlUlxHw9KpNQjOo+IMhdScaUFTpRlN545yjSppU6cZTlGnBKFNU4JQX2zRXxN/w0P8NP8AouXgb/w5mgf/AC7o/wCGh/hp/wBFy8Df+HM0D/5d0f6ucR/9E7xD/wCGDPf/AJyB/rJw5/0UfD3/AIkGQ/8Az8Ptmivib/hof4af9Fy8Df8AhzNA/wDl3V+z/aH+F32fVfN+OXgHzPsEf2bzPiZ4d3+f/amm7vI3a3u837N9oz5fz+R52f3e+j/VziP/AKJ3iH/wwZ7/APOQP9ZOHP8Aoo+Hv/EgyH/5+H2VRXxN/wAND/DT/ouXgb/w5mgf/Luj/hof4af9Fy8Df+HM0D/5d0f6ucR/9E7xD/4YM9/+cgf6ycOf9FHw9/4kGQ//AD8Ptmivib/hof4af9Fy8Df+HM0D/wCXdH/DQ/w0/wCi5eBv/DmaB/8ALuj/AFc4j/6J3iH/AMMGe/8AzkD/AFk4c/6KPh7/AMSDIf8A5+H2zRXxrJ+0P8Lv7Ls9vxy8A/aft+pebj4meHfP8j7PpX2fzMa35nleZ9p8nd8m/wA/Z83mVQ/4aH+Gn/RcvA3/AIczQP8A5d0f6ucR/wDRO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/z8Ptmivib/AIaH+Gn/AEXLwN/4czQP/l3R/wAND/DT/ouXgb/w5mgf/Luj/VziP/oneIf/AAwZ7/8AOQP9ZOHP+ij4e/8AEgyH/wCfh9s0V8Tf8ND/AA0/6Ll4G/8ADmaB/wDLur95+0P8Lvs+leV8cvAPmfYJPtPl/Ezw7v8AP/tTUtvn7db3eb9m+z48z5/I8nH7vZR/q5xH/wBE7xD/AOGDPf8A5yB/rJw5/wBFHw9/4kGQ/wDz8Psqivgjw5+074B1rT7i8v8A4teENDnh17xTpEdld/E3RTLPZaB4n1jQtO1hDNqNm/2XxDp2m2uv2QETxCy1O3EF1fQCO9uN7/hof4af9Fy8Df8AhzNA/wDl3WVDIs+xNGniKGQ5/Vo1oKdKpDIc9lGcG5xUotZLJNN05q6bV4vXR26sbm+S5djMTgMbnuQYfF4Oq6GJoT4gyDnpVYwoVHCVs8tdQxNCWnSovM+2aK+Jv+Gh/hp/0XLwN/4czQP/AJd0f8ND/DT/AKLl4G/8OZoH/wAu61/1c4j/AOid4h/8MGe//OQ5f9ZOHP8Aoo+Hv/EgyH/5+H2zRXxrqv7Q/wALv7U1L7N8cvAP2b7fefZ/I+Jnh3yPI+0SeV5Pl635fleXt8vZ8mzG35cVQ/4aH+Gn/RcvA3/hzNA/+XdH+rnEf/RO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/wA/D7Zor4m/4aH+Gn/RcvA3/hzNA/8Al3R/w0P8NP8AouXgb/w5mgf/AC7o/wBXOI/+id4h/wDDBnv/AM5A/wBZOHP+ij4e/wDEgyH/AOfh9s0V8a6V+0P8Lv7U037T8cvAP2b7fZ/aPP8AiZ4d8jyPtEfm+d5mt+X5Xl7vM3/Jszu+XNUP+Gh/hp/0XLwN/wCHM0D/AOXdH+rnEf8A0TvEP/hgz3/5yB/rJw5/0UfD3/iQZD/8/D7Zor5W8P8AxEs/FtlLqPhXx1beJtPgunspr/w/4mi1myhvY4oZ5LSW606+uYI7qOC5t5nt3kEqRXEMjIEljZuv0fWNXl1fSopdV1KSOTUrGOSOS+unSRHuYldHRpSrIykqysCGBIIINeXWoV8NVqUMTRrYavSk4VaGIo1sPXpTSi3CrQr0qFalNKUW4VKNOSUotxSlFy9WjXoYmlTxGGr0cTQqxU6VfD1qOIoVYNySnSr4erXo1YNxklOlWqQbjJKTcZKPvVFFFZGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXm/xM+Mnwg+Cuk2GvfGP4q/Df4S6HquojSNL1r4meOfDHgPSdS1Y2096NLsNR8U6ppVneaibO1ubsWVvNJcm2t55/K8qGR1TlGNnKUYpyjFOUlG8pO0YrmavKT0jFXlJ6RjJ6DScr8qcrJydk3aMVeUnZO0YrWUnaMVrJxWp6RRXmXij41/BrwP4E0z4peNfi18MvCHwy1uLSJtG+Ivijx54V8P+BNXh8QWwvNBm0zxdq2q2nh+/i1u0IutIktNQlTUrYiezM0XzVnn9oH4Cjwb4T+Ix+N3wiHw98e69a+FfA3js/EnwYPBvjTxPfXV/ZWXhzwn4n/tr+xPEWvXl7pep2lro+j315qFxdadf28Vu8tpcJHTTUpwaanSq06FWDTUqVetJwo0KsWlKnXqzThSo1I061WacKVGpJOKm65YSuuWpTqVacrrlqUqUJVKtWnK/LUpUqcJ1KtWEp06UIynVqU4RlOPrtFeX/Dj44fBb4xyeIIfhF8X/hf8VJfCdzbWfimL4ceP/CfjiTw1d3jXa2lr4gTwxq2qNo1zdNYX620Goi2lnayuxErG2mCU/Bf7QHwH+JHi/wAQfD/4d/Gz4R+PfHvhMagfFXgjwX8SPBvinxf4ZGk6lHo2qnxB4a0PWb7WdGGmavLFpWoHUbK2FlqUsdjc+VdOsREnJxjFOUp0frEIpNynh+WMvrEYpNyw/LKMvbxUqHLKMvbcsoyk5e6pOXuqFX2E3L3VCum4uhNy5VCvzJx9hNwrcycfY8ycV65RXk+mfHr4Ga18SNR+DmjfGj4T6t8XtIF0dW+FemfEXwff/EjSxY20V5enUfA9rrEvieyFnaTw3V0bnS4hb200U8uyKRGNGw/aO/Z51XxpD8NtL+PHwZ1L4iXHiPxD4Pt/ANh8UfBF540n8W+EYI7nxZ4Wh8LW+uSa5L4j8MW00Nx4h0RLFtT0WCWOXUrW2jkVio+/7Pk9/wBtGU6PJ7/toQlKE50eTm9rCM4yhKdL2sIzjKEpRnGUIkvd9q5e6qLjGs5e6qMppShGs5cqoynFqUI1XSlOLUoRlFqTd8Q/+Q1a/wDYLg/9K72uDrvPiH/yGrX/ALBcH/pXe1wdAH8y9FFFf7IH+M4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAgORn3I/Ikf0paQHIz7kfkSP6UteZktf61lOXYj69/aftsLCp/aH1b6n9dvVxsfrH1W0fq/N7L2fsrK31bmt++193ijCfUOIs6wX9k/wBhfVcwqUf7G+u/2l/ZnLh8rn9T/tDml9c5Pb+29vzS5vr3s7/7NZFFFFemeEFFFFABRRRQAUUUUAfsD/wT9/5I14m/7KbrP/qK+DK++9D/AOQ1o/8A2FNP/wDSuGvgT/gn7/yRrxN/2U3Wf/UV8GV996H/AMhrR/8AsKaf/wClcNf5deMn/J1OPP8Asoa//qHlB/qX4M/8mq4C/wCyew//AKmZwfRlFFFfmh+mhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfz4/t8an8BfhT/wUu+Fnxn/b68G2Xib9j29/ZT1r4e/DvXfGvwt1z4tfCzw18eJfHd9rmo2GseGNN0XxZbf8JTqvgy3u5LC4l8NXVxLA2n3UICaBNqei/wBB1FZSpt1sNXXs28PLFrkrUlWpThjcuxuWVnyuUeSvSo42dbCV026GIi5WcK1S1qS9hiqEudRxVGlTc6VT2dSDoY7AY+m1KzvTnUwEKWIpOyrYerODknGF/wCTj9qb4mfswaH8IP2AdB8G/s7v+zT+yj4juP2iL74e/GD9sn4RfF/9oLR/hCviOyc2XiTwp+ztZfErxx4c+IOrePbq+ufFHwutfjZY+K9EsdJlsvFGgeEdK0J7jUT8heG/Clhqf/BPrSfhh4vkvdb09/8Agt74c8IeJfDGteB5PhNcWuj6v4IfS9R065+GFibKL4ZJrdtJe3Nx4K0eDTrfwncXV1oVosUmmFl/uEorpoShRxFStKM68amaZdj5xxE1VnXpZbxHw7n9GhiJSg6U6s6eRVMuqVadGNKVDGqrOnXlhKVMzr89anTipRozpYbG0qcqMfZqjVxuS8W5TVqUHFxrQgqnFCzDlnVdSWJwLSdKGMqey/mf+KPwNtPh1/wUc/bN+Ev7I3gLw/8ACzVvG/8AwSM8eXnhnwV8KdDsPBWkaj8RL/xbZaFpV3peg+HBo2lWfiS/W1s7Kw1C1jtJU1SVdQeYXc91cTZ37BXjP/gn1rVr+yX8LvgZ+zj4xn/4KEfC34T+L/DnjnxJ4L+FnjD4cah8Evidb+Bn8K/EfxT+0/4vvNU8CaX4p8O6l4pa+0nS21qT4oXWiX+oReH9K0Pw7ruq2WkXP9ONFc8KdsO8LUqVXGeXywVTE0akqGYRlHFca1qMsLjr1K2FoqhxpXpVqEOaUq2XYXE0J0nUqUqOlSSlXdelTpQccVTxNPD1Kca2Cf8AwlcM5bXWKwdoUsZOc+GaOIpyqcsVHGYjD1/bJRrz/hi/Y1+FEOo/Fv8AZm+F2rfHTx14e/a98CftOprvjj4G+Df+CfPw8ufjL8OtS8K+NdZ1fxF4v+Ln7W+q+MPh34z8S/CjUNJvLm58RjU/FHjJ7DT9ZsbH/hXOs2Gj6Mlfuv8A8EtPg78LdS/aG/4KS/GnVfAPhLVviron7f3xx8LeHPH2q+H9J1HxX4W0KJ55LjT/AArr15Zzap4cg1QeJtXh1pdHu7MaxbzxW2oi4gt4UT9xqK6qFaVJQfJTVRZfjsG/YR9hRpVcdW4ddStg6fv1MLR+rcPqhLDKvLm+u1FGpDD4ajSr4Vqaquv703CtjcBiv30nWqzp4KvxFi3SxVR8kMVUq4niDmVeVGKisDTnOE8Ria06Pzrc+EtK+HWr+Io/D934n1BfGfiLV/H+sHx1418ZfFF7PXfEVyy6hYeE5fiZr3i6TwF4JtxYw/2F8NfAz+Hfhz4WL3jeGfCukNqF+blv9sXf/PHS/wDwR6L/APK+uo+If/Iatf8AsFwf+ld7XB1iaH8y9FFFf7IH+M4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAgORn3I/Ikf0paQHIz7kfkSP6UteZktf61lOXYj69/aftsLCp/aH1b6n9dvVxsfrH1W0fq/N7L2fsrK31bmt++193ijCfUOIs6wX9k/wBhfVcwqUf7G+u/2l/ZnLh8rn9T/tDml9c5Pb+29vzS5vr3s7/7NZFFFFemeEFFFFABRRRQAUUUUAfsd/wT1v57X4L+J44o7JlPxQ1pybjTtPvHyfCngpSBLd2s8iphRiNXCAlmChmYn9ANH1W6k1fSo2i00LJqVijGPR9IicBrmJSUlisUkjcA/LJG6uhwyMrAEfnl/wAE/f8AkjXib/spus/+or4Mr770P/kNaP8A9hTT/wD0rhr/AC68ZP8Ak6nHn/ZQ1/8A1Dyg/wBS/Bn/AJNVwF/2T2H/APUzOD6Mooor80P00KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8b+If8AyGrX/sFwf+ld7XB13nxD/wCQ1a/9guD/ANK72uDoA/H++8Nf8Ev4L28htv26fhTNbQ3VxFbzf8NOfs9SebBHK6RSeZHAI33xhW3oAjZ3KApAqr/wj/8AwTF/6Pl+FP8A4kz+z7/8Zr+HGiv7A+seIX/R1uMv/BeR/wDzrP5C+o+Hf/RqeDf/AAPO/wD56n9x3/CP/wDBMX/o+X4U/wDiTP7Pv/xmj/hH/wDgmL/0fL8Kf/Emf2ff/jNfw40UfWPEL/o63GX/AILyP/51h9R8O/8Ao1PBv/ged/8Az1P7mLPw1/wS/mldLj9un4UxRi1vpVb/AIac/Z6TM8FlcTW0e54Cp865jih2Ab5N/lxkSMpFX/hH/wDgmL/0fL8Kf/Emf2ff/jNfw40UfWPEL/o63GX/AILyP/51h9R8O/8Ao1PBv/ged/8Az1P7jv8AhH/+CYv/AEfL8Kf/ABJn9n3/AOM0f8I//wAExf8Ao+X4U/8AiTP7Pv8A8Zr+HGij6x4hf9HW4y/8F5H/APOsPqPh3/0ang3/AMDzv/56n9x3/CP/APBMX/o+X4U/+JM/s+//ABmt7w38Pv8Agmz4r1W18O+H/wBtH4e694m1u60zSPC/h3Q/2jPgLqmt+IvEOsaxp2k6Zoej6TZWVzqGr6pqU199n0/TNOglvry7aGK3ilY+W/8ACnX1H+w7/wAnq/sf/wDZ0f7P/wD6tjwlWGKx3iHh8LisRHxU4xlLD4XE4iMZQyRRlKhhsRXUZNZVdKToqLa1Sk2tUjfC5Z4dYjFYXDy8KuDoxxGJw1CUoyzpuKr4jD0HJJ5rZuKrOST0bik9Gz+47/h378Gv+hm+Jv8A4OfCv/zGUf8ADv34Nf8AQzfE3/wc+Ff/AJjK+56K/Ef+IyeKn/RecQ/+D8H/APOg/af+IM+FX/RBcPf+E+M/+fB8Mf8ADv34Nf8AQzfE3/wc+Ff/AJjKP+Hfvwa/6Gb4m/8Ag58K/wDzGV9z0Uf8Rk8VP+i84h/8H4P/AOdAf8QZ8Kv+iC4e/wDCfGf/AD4PiWT/AIJ6/BddPtbseJ/ih5k97f27qda8KbAlrBp0sZUf8IUGDlryUOSxBCx7VUhi1L/h378Gv+hm+Jv/AIOfCv8A8xlffc3/ACBdP/7Cmsf+kmh1l0f8Rk8VP+i84h/8H4P/AOdAf8QZ8Kv+iC4e/wDCfGf/AD4Phj/h378Gv+hm+Jv/AIOfCv8A8xlH/Dv34Nf9DN8Tf/Bz4V/+Yyvueij/AIjJ4qf9F5xD/wCD8H/86A/4gz4Vf9EFw9/4T4z/AOfB8Mf8O/fg1/0M3xN/8HPhX/5jKu3X/BPX4LwQadKnif4oFryykuJQ2teFCFddQv7QCPHgoEJ5drGxDFjvLncFKqv21WpqH/Hpof8A2C5v/T1rFH/EZPFT/ovOIf8Awfg//nQH/EGfCr/oguHv/CfGf/Pg/N3wh+xD8GvFWlXep/2z8TbD7L4o8b+G/I/4SLwrdeZ/whvjTX/CH23zf+EFt9v9o/2H/aH2fy2+x/avsnn3XkfaZun/AOHfvwa/6Gb4m/8Ag58K/wDzGV9geEPEn/CVaVd6n9i+wfZfFHjfw35H2j7V5n/CG+NNf8IfbfN8i32/2j/Yf9ofZ/Lb7H9q+yefdeR9pm6escN4z+Kk8PRn/wARB4hr81NP23tMHT9p71Rc/s/7HXJflty2+xf7R6ObeCfhVh8zx9D/AIhtw9l/scTKH1H/AGzFfVLUsJL2H1n+2X7fl9pz+0u7/WOW/wC60+GP+Hfvwa/6Gb4m/wDg58K//MZR/wAO/fg1/wBDN8Tf/Bz4V/8AmMr7norb/iMnip/0XnEP/g/B/wDzoPO/4gz4Vf8ARBcPf+E+M/8AnwfEuo/8E9fgvZ6hf2kXif4oNHa3t1bxtJrXhQuUgnkiQuV8FKpcqoLFVUE5woHApf8ADv34Nf8AQzfE3/wc+Ff/AJjK++9c/wCQ1rH/AGFNQ/8ASuasuj/iMnip/wBF5xD/AOD8H/8AOgP+IM+FX/RBcPf+E+M/+fB8Mf8ADv34Nf8AQzfE3/wc+Ff/AJjKP+Hfvwa/6Gb4m/8Ag58K/wDzGV9z0Uf8Rk8VP+i84h/8H4P/AOdAf8QZ8Kv+iC4e/wDCfGf/AD4PiXTv+CevwXvNQsLSXxP8UFjur21t5Gj1rwoHCTzpE5Qt4KZQ4ViVLKwBxlSODS/4d+/Br/oZvib/AODnwr/8xlffeh/8hrR/+wpp/wD6Vw1l0f8AEZPFT/ovOIf/AAfg/wD50B/xBnwq/wCiC4e/8J8Z/wDPg8o+D3we8M/BPwzfeFfCt9ruoafqGu3PiCabxBc6fd3q3t3p+mabJFFJp2maTAtqsGk27oj27yiV5maZkaOOP2vQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhr4LM8zzDOcwxea5ri62PzLH1niMbjcQ4yr4mvKNOEqtWUKdGDm4UaUW40qatTj7u7f3+WZZl+S5fhMqyrCUcBluAorD4LBYdSjQw1CMqk40qUZ1K01BTrVZJSq1HepL3tkvoyiiiuE7gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuB+KvxF0T4QfDD4jfFjxLa6rfeHPhj4G8WfEDXrLQ4LS51q70bwdoV/4h1O20i2v77TLG41Oey0+aKwhvdSsLWW6aJLi9tYmedO+r5a/bk/5Ms/a5/7Nm+Ov/qsfE9cWZV6mFy7HYmi4qrh8LWrU3KKnFThGLi5RbSkrt3TaT7nZl1Cnisxy/DVVJ0sTj8Dh6qjJxk6WIxuEoVFGSTcZOnWmoySbjJqSTcUn6V8BfjN4X/aI+DXw3+OHgqw1/S/CfxQ8K6b4v0DT/FNrp1l4is9N1SMyW8GsWmk6prem298igiaKy1bULdT9y5kHNet1/Ff8I9K/ZR8E/Cf/gl38Yv2Tvi1f6r/AMFBPFPx5+DXw9+JulaX8VPEGvePb/wdeT6r4X8eeCPG/wANdT8Sz6f4L+HWgWFnpHhDw5Inh/QdG1vwUlltl1vSr19Vg+rvhd8CdJlsv+Cx/wC194S0DxB4g/aZ+BH7Sv7Ydj+z5q1h4h8SRH4Z6nqPhvU4/E3izwn4XstWh8OXvi2+0rWhO+pajomp6tG3hbQV0Sa0vbWGQ+jmEqOFnmtVQqRwuVUc7r17SVXnjlH+rSisBXmoU8bh8RLiXCwq4yfsaeDq4bMY1o1IYWl7Xz8BGriaeBpynB4nHVMlo0bx9ny1c2xnEWDmsbQi51cFUoz4dxNWhh4KvUxtCvgpU/Z1K9T2f9UVFfxr/wDBM2w1b4fftJfsx/E7wX8df2Pk1Hx/8MvH3jH46eBPgV8Qf2wviv8AHr4yeF7LwFN4i8TT/tEeHvFtj4++FHgT4oeGvEUQ8S2Ntf6r8IdL1HxldarF4fXxBbTaXpo8J+FvjHwnrP7T/wCwj+0f8HNd+H3hDxn8X/2v9D0rxlrXi39q3xd8av25/F2ma/8AEfVtH8VX3x58N+H9L8G/BT4dfDjxj4V1S18LaH4VsPh7ZeKr+2GmxXGv6/peo6jcDWlhpTx+X4CU4qeKqSw+JqRUpRw2IeaV8ooTgnpXwWIxWHqOFZVJ14xhVpTpU6tGdeedTERhgsfjVFuOFoyxOHhJqLxNCnldfN60JSSfscXSwtGnek6cKMpYrDTjVlTdanS/uerwvw3+0V8M/Fvx9+I/7NugXuq33xL+Evg7wj408exHSLm10PRrHxy87eHNOj1a8MA1PVbuxhTVJl0q3vdOtLS5hhudSj1JbjT4P44P2q9S8L/D79s345fH7WPE3gD9oC78LftU6zr1z408FftCeOv2dv27Pg5e+GNd8NaR4O+Fnh/4a/GoWvhvxl4T8LStaaPY6h8LP2fPi9aaj4Y0fV44fiZ4E02KzbQf1u+Afwp/Zd0H/guF+0r4g8SaZo/hH4m3Hgn4bfFP4Eab4q8b69oXiHVPiF8VPAmqzfGC58O+Hb/xRHaeLdWvdJ1rV5NT8N/Y9csfDsC313oemaXFpjXFry5d/tscory9yjmGHzmdalBc9WniMHw1Qz3A0aU3yKs5qvNzVKNWOJhhZVMLW+qVFI6Md/sks1ox96rgZZX7CrP3KVaGIz2GU46VWPvOhCi50oqdRwnh/rHNiKUq9NRl+4PxD/5DVr/2C4P/AErva4Ota50HVfCOr+Ik8QeNfE/xRbxF4i1fxVo8vjq08G6e/gLQtXuWGn/DXwmPhn4S+HUd54J8LG2mbQr/AMcx+M/iNcHULz/hJvH/AIiVLBbFv9oWn/QD0v8A7/a1/wDLimB/lp0UUV/aB/G4UUUUAFFFFABRRRQAV9R/sO/8nq/sf/8AZ0f7P/8A6tjwlXy5X1L+wywT9tj9jx2jSVV/am/Z9ZopC4SQL8WvCJMbmJ45AjgbWMckbgE7HVsMOLMv+RbmX/YuzD/1Axx2Zb/yMcu/7GGX/wDqfgT/AEc6K1P7QtP+gHpf/f7Wv/lxR/aFp/0A9L/7/a1/8uK/jw/rwy6K1P7QtP8AoB6X/wB/ta/+XFH9oWn/AEA9L/7/AGtf/LigAm/5Aun/APYU1j/0k0OsuumlvrUaRYv/AGPppVtS1VREZdX2IVttHLSKRqokLyB1Vw8jIBFH5aRsZWkzf7QtP+gHpf8A3+1r/wCXFAGXRWp/aFp/0A9L/wC/2tf/AC4o/tC0/wCgHpf/AH+1r/5cUAZdamof8emh/wDYLm/9PWsUf2haf9APS/8Av9rX/wAuK0r6+tVttHJ0fTXD6bKyq0urgRAavqqeXHs1VWKFlaUmVpH3yOA4jEccYB5l4Q8Sf8JVpV3qf2L7B9l8UeN/DfkfaPtXmf8ACG+NNf8ACH23zfIt9v8AaP8AYf8AaH2fy2+x/avsnn3XkfaZunrM8IeNLTxVpV3qf/CL6XYfZfFHjfw35H27WrrzP+EN8aa/4Q+2+b/aFvt/tH+w/wC0Ps/lt9j+1fZPPuvI+0zdP/aFp/0A9L/7/a1/8uKww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv8AaPRzaj9XzPH0Pqf9n+xxMofUfrH1r6palhJew+s3ft+X2nP7S7v9Y5b/ALrTLorU/tC0/wCgHpf/AH+1r/5cUf2haf8AQD0v/v8Aa1/8uK3PODXP+Q1rH/YU1D/0rmrLrptYvrVNX1VG0fTZWXUr5Wlkl1cPIVuZQZHEWqxxh3I3MI440BJ2Iq4UZv8AaFp/0A9L/wC/2tf/AC4oAy6K1P7QtP8AoB6X/wB/ta/+XFH9oWn/AEA9L/7/AGtf/LigA0P/AJDWj/8AYU0//wBK4ay66bR761fV9KRdH02Jm1KxVZY5dXLxlrmICRBLqskZdCdyiSORCQN6MuVOb/aFp/0A9L/7/a1/8uKAMutTQ/8AkNaP/wBhTT//AErho/tC0/6Ael/9/ta/+XFaWj31q+r6Ui6PpsTNqViqyxy6uXjLXMQEiCXVZIy6E7lEkciEgb0ZcqQD3qiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsrXdC0TxRour+GvEuj6V4i8OeINMv9E17QNd0+01bRdb0bVLWWx1PSNX0q/huLHUtM1Gynms7+wvYJrW8tZpbe4ikikdDq0UpRjKLjKMZRkmpRlFSjJPdSjJSjJPqpRafVMcZSjKMoylGUWpRlFuMoyi1KMoyi4yjKMkpRlGUZRkk4yTSa8T8H/s1fs5fD3xVZeOvAPwA+CfgfxtpuiweG9O8Y+D/hV4F8NeKrDw7a6bb6NbaDZeIdF0Gy1a10W20iztNKg0uC7jsYdNtbexjgW1giiXvfCnw98A+A5/E9z4H8D+D/AAZc+NvEl/4y8Z3HhTw1ovh2fxd4v1XZ/anirxPLpFlZya/4k1Ly4/t+uaq13qd55afaLqTauOvoquaWnvS0hKmveelOdSNadNa6U51oxrTpq0J1oxqzhOrGNWM2WqsrOVOTVlZyowlSoyatZypUpSpUpNOVKlKVOlKnTlKnLyP4f/AD4D/CbXNe8T/Cv4J/CP4Z+JfFSPH4n8Q/D/4b+DfBmueI0kvG1B017VvDmjabf6wj37vfOuoXFwGvGa5IMzFzz1l+yl+y5pt5e6jp37NnwC0/UNS8YaN8QtRvrL4O/Du1vL/x94cuNWu/D3ji9uYPDsc114w0K61/XbnRvEs7ya1pdxrWrTWN7BJqN403vtFKPuOm4e46NOFGi4e46NGnOFWnRouHK6VKnVp06tOlSdKlTqU6dSnShUp06kHL3lUUveVWpKrVUveVWrOE6c6tVS5lVqzp1atOdSqqlSdOpUpzqThUqQqeMa3+zh+zx4m+Iln8XvEnwG+DHiD4sadeaRqOn/E/W/hd4H1b4iWOoeH1gTQb6z8a3+h3HiW2vNES1tk0i5g1NJ9NW3gWzeEQxhd7Vfgz8H9d+Ieh/F3W/hT8NtZ+LHhiyGm+GvifqvgXwvqPxD8PacF1BBp+h+NbvS5vEmk2QTVtVQWthqdvBt1PUF8vF7ciX0miiPuKmoe4qMqk6Kh7qozqqUas6KjyqlOrGclVlSVKVVSkqsqilJSJe85uXvOrCFOq5e86tOm4unTqOXM6lOm4QcKdR1IQcIOEIOMXHxv4h/8AIatf+wXB/wCld7XB13nxD/5DVr/2C4P/AErva4OgD/Lnor+pa+/4Np/sV7eWf/DafmfZLq4tvM/4Zy2eZ5Erxb9n/C932b9m7bubbnG44yav/ENh/wBXn/8Amun/AOPav6c/4iFwh/0Nv/LHMf8A5lP5p/4h/wAW/wDQp/8AL3L/AP5qP5c6K/qM/wCIbD/q8/8A810//HtR/wAQ2H/V5/8A5rp/+Paj/iIXCH/Q2/8ALHMf/mUP+If8W/8AQp/8vcv/APmo/lzor+paz/4Np/tcrxf8Np+Xstb653f8M5b8/YrK4vNmP+F7rjzPI8vdk7N+/a+3aav/ABDYf9Xn/wDmun/49qP+IhcIf9Db/wAscx/+ZQ/4h/xb/wBCn/y9y/8A+aj+XOiv6jP+IbD/AKvP/wDNdP8A8e1H/ENh/wBXn/8Amun/AOPaj/iIXCH/AENv/LHMf/mUP+If8W/9Cn/y9y//AOaj+XOvqP8AYd/5PV/Y/wD+zo/2f/8A1bHhKv3p/wCIbD/q8/8A810//HtXrnwG/wCDfH/hUHxl+Fvxl/4a5/4SL/hTfxI+HnxT/wCEb/4UH/ZP/CR/8IP458O65/YX9sf8Lp1P+yP7U+y/Zf7U/svVPsW/z/7Ou9vkty47j7hOtgcbRp5rzVK2CxlKnH6lmC5qlXCYulTjeWFSXNUqwjdtJc120k2unBcB8V0cbgq1TK+WnSxmDq1JfXMA+WnSxeFq1JWWJbfLCnOVkm3y2SbaT/owooor+bT+jQooooA1Jv8AkC6f/wBhTWP/AEk0OsutSb/kC6f/ANhTWP8A0k0OsugAooooAK1NQ/49ND/7Bc3/AKetYrLrU1D/AI9ND/7Bc3/p61igDhPCHiT/AISrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1zHhDxJ/wlWlXep/YvsH2XxR438N+R9o+1eZ/whvjTX/CH23zfIt9v9o/2H/aH2fy2+x/avsnn3XkfaZunrDDS58PRn7X2/NTT9tyez9p71Rc/s9OS/Lblt9i/wBo9HNqP1fM8fQ+p/2f7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/1jlv8AutCiiitzzjU1z/kNax/2FNQ/9K5qy61Nc/5DWsf9hTUP/SuasugAooooA1ND/wCQ1o//AGFNP/8ASuGsutTQ/wDkNaP/ANhTT/8A0rhrLoAK1ND/AOQ1o/8A2FNP/wDSuGsutTQ/+Q1o/wD2FNP/APSuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACivIPBnx6+E/xB+KPxb+DHhDxX/a/xK+BbeDl+Knhv+wvElh/wix8faVc654SH9sapo9loGt/2tpdnc3WfDmq6uLDy/I1P7HcPHC3r9C1jTmtYVacK1Ka+GpRqc/s6tOW06c/Z1OScW4y5J2b5XYek6lN6TpT9nVg9JU6nJSqck47wn7OtRnyySfJVpytacWyiiigDxv4h/8AIatf+wXB/wCld7XB13nxD/5DVr/2C4P/AErva4OgD/K/ooor+wD+RwooooAKKKKACiiigD+qD/g2e/5vW/7tw/8Ae81/Vpp//Hprn/YLh/8AT1o9fyl/8Gz3/N63/duH/vea/q00/wD49Nc/7BcP/p60ev5v49/5KzNf+5L/ANQMKf0VwJ/ySuV/9zn/AKn4ky6KKK+PPrgooooA1Jv+QLp//YU1j/0k0OsutSb/AJAun/8AYU1j/wBJNDrLoAKKKKACtTUP+PTQ/wDsFzf+nrWKy61NQ/49ND/7Bc3/AKetYoA4Twh4k/4SrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1zHhDxJ/wlWlXep/YvsH2XxR438N+R9o+1eZ/wAIb401/wAIfbfN8i32/wBo/wBh/wBofZ/Lb7H9q+yefdeR9pm6esMNLnw9Gftfb81NP23J7P2nvVFz+z05L8tuW32L/aPRzaj9XzPH0Pqf9n+xxMofUfrH1r6palhJew+s3ft+X2nP7S7v9Y5b/utCiiitzzjU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmrLoAKKKKANTQ/+Q1o//YU0/wD9K4ay61ND/wCQ1o//AGFNP/8ASuGsugArU0P/AJDWj/8AYU0//wBK4ay61ND/AOQ1o/8A2FNP/wDSuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqt9OtrZXly9zbWSW9rcTveXrBbO0WKJ5GubtmkhVbaAKZZ2aaICJHJkjHzC1QQCCCMg8EHoR6Gs60JVKNWnCThOpSqwhNSnBwnOlUhGalT/AHkXCU4yUqf7yLipQ9+MCoNKcHJNxUouSXLdxUouSXMnG7imlzJxu1zJx5k/4/v2cv2gv2p/h3+1V8C/HX7Rvxv/AGvLvwn8SfjrceGp/jB4A+LvhT9q/wD4J/fG27+InjjxF4b0j4ceEfDPgy78P/D/AOCAgsoLySH+yfHXxR8c+DJNDW5tfg/4TgdI9F+ydA/aC+Kln+zl/wAF1NU1343fEC18SfCD46fHbR/hVqOrfErxHBrnwu0q6stRsvh/pfw+u7zWlv8AwTp9zqyR2ng6y8OSaZbTaiiW+iRNcqEH6feEP+CXX7A/gL42W/7Q/hL9m7wno/xXsvEt74w07WY9b8b3Xh7SPE1880zaxovw7vvFF18N9FurG5na90T+yvCVnF4e1GO21HQY9NvrO0uIa3xV/wCCV/7Afxt+J/in4yfE79nLw74l+IvjW3vYPFGuL4p+ImiWmrzahokvh+71Wbw34d8YaR4Wi8RPYTNPH4ntdFg8RW2tpB4lttUh8R2ttqsUVKc54CjhU1CpLJc2yqrUi+VYaWMxPCuMwdejyaV61KpkGOoTqxnhY0qOaOpQjCdTM6WN2jVhHMMVjGuanUzXLMzp0nFWqrBy4mhXwzjJtYWhUw+e4JRptYvmnldKnUlVoUcvlhfyX8CW/wAdf2pP2kf2Dfgxqn7XH7Unww8EeMf+CUnwi+M3xPuvhR8ZPEfhrxZ438YW+vyrPrtzrd//AG7DF4p17VpdIbxP4xawk8U6zoNlfaBLrCWmqXBrQ+Ivxl/aK+FNl+1R/wAE69P+LXxa1X46fEP9rv4P+GP2YvijffELxrrfxL8PfAX9oy4ufGz6jp3jfUNXm8ZNZ/CPwv8AD3xnouq6wmpGPS57uRWnW1TDfub4H/ZJ/Z8+G/jn4f8AxJ8F/D/+xvGvwt+COlfs5eBNa/4SvxtqP9hfBnRLyO/0vwb/AGdq3iS+0nU/st3Ekv8AwkOs2GoeKptvl3GuSxEodnxF+zP8DfFnx48B/tN+Ifh/Yan8dPhl4a1Xwf4H8fyanr8N5ofh3WotZg1DT10e21aDw5qBeLxDrkdre6ro19qGnLqt8NOurT7Q+fQrzoVcZTl7NvL6+Pz2tmmGaUZ4nCY3irE8R5ZTpShKLpzoUcJlGT1o06uGp0crx2eYXDuUVhXPhpxrU8NNc6+u4fL8opZZXvzRw+OwmUYzKsdUqxnFxq0K880xWYR9rTxE62Ny3KataNo1YL8MfiCv7THibxz/AMFffhp8I/2gPjtbeJf2ZPC37G3jj4GRy/Fv4gXVxYzeB/hrqXirxnoUEa6432mT4r6VoWo23i+z8tbXxn4ivbTUvEcd9cRiZe40/wDbJ+KXx58ZftDftjfCPxB4zi+FH7Jn/BPrRPE+ifDq08R68nww8ZftKfFH4Z33xeu5fGHhay1ay8PeL5fhb4WvbDTNTtLxf7R0m8e3kiubW5FoyftX4N+Anwm+H/xQ+Lfxm8I+ExpPxJ+Op8Hn4q+IzrniTUB4q/4QLSbrQ/CedG1TWL3QNEGlaXeXNqR4d0rSBf8AmedqYvbhElXF+A/7MHwG/Zl8F+Ivh58DvhzpfgTwX4s8U65408RaBBf65rtpqviPxHa2VjrF5cSeKNU1u6W2ubHTbGxi0mGePR7Gyto7SwsLW3BjPBONephqlOVZrEvJacaVdKzhxHPL83yTFY2TpxpyeDnlubTxdNU4xqQzalRxNPD0Z4fD14dcXQhiYVIUb4eOa4Xnoyd1PIMPLhvH/U7Tc4/W3mfD8qClUlOE8tx2MpV69RYvF0q/8+ei+Lvj1+zv8Jv+CfX7b2iftv8Ax+/aI+If7Xfxg+FXhH4q/Abx/wCPtL8WfBrxTpvxpe+1Pxp4Z+Enw0sLMWPw88R/DfV7aDwzDeaPerBoOr20unw2XhrTbmfwbc/XP/BPrwh8VPjT+1Z+2l8X/iJ+0/8AtJ6r4W/Z/wD22fjp8O/hp8DofixrifCB9LmS4t57bxf4Xu0vZ9e0PQrXUNEbwJ4Wt9V03w34Sv8ASLm9tNKlbVLtH+4PhL/wTK/YS+Bfxek+O3wq/Zz8I+E/if8AatXvbDW4tV8Yatpfh281y4NxfXPg7wbr3iTVPBHgmeMNJaaZL4R8OaI+h6XPc6Poh0/Srm4spPo74U/AX4T/AARvvidqPww8Kf8ACMXnxj+JGvfFz4kTf274k1r/AISP4heJvJ/tzxB5fiHWNWi0j7d9nh/4lOgppeiW2z/RNNt9zbu+nVpQxFbERpKlGVHN/qGFioTpZQsfiOH3hcvw85L/AGvD4HD5fnEqeNxNOdanVzJ08PThGriasOOVOpLD+wlUdSUp5RHF4iTnCpmawVfiOvisVXgn/s1WtDMsnwaoUJwVejliq4qrKUKFOfKXOg6r4R1fxEniDxr4n+KLeIvEWr+KtHl8dWng3T38BaFq9yw0/wCGvhMfDPwl8Oo7zwT4WNtM2hX/AI5j8Z/Ea4OoXn/CTeP/ABEqWC2Lf7QtP+gHpf8A3+1r/wCXFdR8Q/8AkNWv/YLg/wDSu9rg65jc/wAr+iiiv7AP5HCiiigAooooAKKKKAP6qv8Ag2VuIoP+G2fNsbW93/8ADN237S96nl7f+F952fY7y0zvyN3meZjYuzZlt39XljfWrW2sEaPpqBNNiZlWXVyJQdX0pPLk36qzBAzLKDE0b740BcxmSOT+Tn/g2e/5vW/7tw/97zX9Wmn/APHprn/YLh/9PWj1/N/Hv/JWZr/3Jf8AqBhT+iuBP+SVyv8A7nP/AFPxIf2haf8AQD0v/v8Aa1/8uKP7QtP+gHpf/f7Wv/lxWXRXx59can9oWn/QD0v/AL/a1/8ALij+0LT/AKAel/8Af7Wv/lxWXRQB00t9ajSLF/7H00q2paqoiMur7EK22jlpFI1USF5A6q4eRkAij8tI2MrSZv8AaFp/0A9L/wC/2tf/AC4om/5Aun/9hTWP/STQ6y6ANT+0LT/oB6X/AN/ta/8AlxR/aFp/0A9L/wC/2tf/AC4rLooA1P7QtP8AoB6X/wB/ta/+XFaV9fWq22jk6Pprh9NlZVaXVwIgNX1VPLj2aqrFCytKTK0j75HAcRiOOPma1NQ/49ND/wCwXN/6etYoA5jwh40tPFWlXep/8Ivpdh9l8UeN/DfkfbtauvM/4Q3xpr/hD7b5v9oW+3+0f7D/ALQ+z+W32P7V9k8+68j7TN0/9oWn/QD0v/v9rX/y4rhPCHiT/hKtKu9T+xfYPsvijxv4b8j7R9q8z/hDfGmv+EPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zdPWGGlz4ejP2vt+amn7bk9n7T3qi5/Z6cl+W3Lb7F/tHo5tR+r5nj6H1P8As/2OJlD6j9Y+tfVLUsJL2H1m79vy+05/aXd/rHLf91pqf2haf9APS/8Av9rX/wAuKP7QtP8AoB6X/wB/ta/+XFZdFbnnHTaxfWqavqqNo+mysupXytLJLq4eQrcygyOItVjjDuRuYRxxoCTsRVwozf7QtP8AoB6X/wB/ta/+XFGuf8hrWP8AsKah/wClc1ZdAGp/aFp/0A9L/wC/2tf/AC4o/tC0/wCgHpf/AH+1r/5cVl0UAdNo99avq+lIuj6bEzalYqsscurl4y1zEBIgl1WSMuhO5RJHIhIG9GXKnN/tC0/6Ael/9/ta/wDlxRof/Ia0f/sKaf8A+lcNZdAGp/aFp/0A9L/7/a1/8uK0tHvrV9X0pF0fTYmbUrFVljl1cvGWuYgJEEuqyRl0J3KJI5EJA3oy5U8zWpof/Ia0f/sKaf8A+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB438Q/8AkNWv/YLg/wDSu9rg67z4h/8AIatf+wXB/wCld7XB0Afxf3X/AAbiftv2d1c2kvxT/ZUaS1uJreRo/HHxcKF4JGicoW+BqsULKSpZVJGMqDwK/wDxDmftuf8ARUv2V/8Awt/i3/8AOPr8EJP+Chn7fsrvLL+3J+2FJJI7SSSSftMfGl3kdyWd3dvGpZnZiWZmJLEkkkmm/wDDwn9vr/o+H9r/AP8AElvjP/8ANrX739Y41/6HGSf+Gar/APNJ+G/U+Df+hTnX/h4p/wDzMfvj/wAQ5n7bn/RUv2V//C3+Lf8A84+j/iHM/bc/6Kl+yv8A+Fv8W/8A5x9f1Q/sL+Idf8XfsS/sd+K/Feuax4n8U+J/2WP2fPEPiXxL4h1O91rX/EOv618JfCOpazrmuazqU9zqOraxq2o3Nzf6nqd/c3F7f3txPdXU8s8skjfU9fCVvETimjWq0XXy+TpVatJyWW0kpOlVqUnJJ4i6TdNtJ6pNJ6pn2tLw94Yq0qVVUMwSq0qdVJ5jVbSqU6dRJtULNpVEm1o2m1o0fxf23/BuJ+2/dSNFH8U/2VAy291cEv44+LgGyztZruUDb8DWO9o4HWMYALlQzKpLCv8A8Q5n7bn/AEVL9lf/AMLf4t//ADj6/tc0f/j7m/7Beuf+mXUKy6z/AOIkcUf8/sv/APDbR/8Al5f/ABDrhj/nzj//AA41v/lB/Fv/AMQ5n7bn/RUv2V//AAt/i3/84+j/AIhzP23P+ipfsr/+Fv8AFv8A+cfX9pFFH/ESOKP+f2X/APhto/8Ay8P+IdcMf8+cf/4ca3/yg/Fv/gkF/wAE5vjd+wB/w0N/wuTxT8K/Ev8Awtr/AIVN/wAI5/wrPW/F2s/Yv+ED/wCFmf2v/bf/AAlPgfwZ9m+0/wDCZ6X/AGb9g/tLzvIv/tX2Pyrf7V+3Gn/8emuf9guH/wBPWj1l1qaf/wAemuf9guH/ANPWj18lmeZYrN8dXzDGunLE4j2ftHSpxo037KlCjDlpxlJR9ynFO0nd3ejdj6zLcuwuU4Kjl+DVSOGoe09mqtR1Zr2tWdafNUlGLl785WvFWVlqlcy6KKK4DuCiiigDUm/5Aun/APYU1j/0k0OsutSb/kC6f/2FNY/9JNDrLoAKKKKACtTUP+PTQ/8AsFzf+nrWKy61NQ/49ND/AOwXN/6etYoA4Twh4k/4SrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1zHhDxJ/wAJVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp6ww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv9o9HNqP1fM8fQ+p/2f7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/1jlv+60KKKK3PONTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasugAooooA1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhrLoAK1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAPoyiiigAorhfh18SvBPxY8OT+Lfh/rX9v+H7bxT458FTah/Z2raVs8TfDXxrr/wAO/GumfZNasNNvW/sXxj4X13R/tiWzafqP2H+0NJu7/S7mzvriXxR8RfBngvXvh34Y8Ta5FpevfFfxXf8Agj4f6c1pqF1L4i8T6Z4K8WfEO/02J7K0uYLBbXwd4H8T6xJf6rLYab/xLUsFvG1TUNMsr1pNunFJuVX2fsorep7aisRR5FvP2uHlGvT5b89GSqRvB3D+f/p37VVP+nfsJzp1uf8Al9lUp1IVOa3JOEoytKLR2tFFFIAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKzNauJrTRtWu7d/LuLXTL+4gk2q+yaG1lkifY6sjbXVW2urK2MMpBIP8pXw3/bY/wCCpVx8A/2Qf2oLj9p/4aeMLP8AaB/abm/Zdsvg/wCJf2efB40m7l8Qa74z8P6V8RfGnijwT/wiHia51XRtVsmisfCngVvCOmS6doPhq71O/wBavb7xNY6lNKTrYp4SnCUqtsuUW+VQlWzbMq+UZdQUnJcs8RmFFUXOcVRoQqLE4ipTw1HEThVVKlhnipyiqaeObiuZz5MtyqrnWNqWUWnGjl1DEVlFS9pUlRlRpQnVqUoz/qd8b+PPA/wz8Map43+JHjLwp8PvBeiLatrXi7xv4i0jwp4Y0hb69ttNsm1TX9evLDStPW81G8tLC1N3dxC4vbq2tYi888UbdHaXlpqFpa39hdW99Y3tvBeWV7aTxXNpd2lzEs1tdWtzCzw3FvcQuksE8TvFLE6yRsysCf5S/wBqT43/ALSuvfsf/wDBYD9ln9pT4s6X8etc/Zj8Sfst/wDCMfFu1+Hnhb4V32taP8TfHng7V5dGvPCHg6GPQ7O00iTRYLizmkuNS1X7VqWqx3msX1kmmQ2H2d4H+Mn7b37JH7Q37FHgn4/fH3wJ+0F8HP2uPBni/Sovh74Z+Enhj4fXHwL1rwT4D0fxdYWXgTxDot5qPir4jaHp8d7Y+HoNd8Xaje3Or6Wt1Ne6Xaa3d6dqJKVSlKnVrVKsKdCUsqeCxNqjo16eZ8N51xDGlVi4PEUsVy5FmFCmvYfVr0P3taM8RhHNVozpy9nGnOpWozziGLw65XWp/wBk5lw9gp16NpqlVw/seIsHiqidZYlqcYUaMp0cVCH73UV+Ff7F/wAQ/wDgpn+1toPwu/bV0H9oj4L2HwY+IXxZ8Q2usfsf+JPhRZ6PoXh74LeHPEuveBNZvNF+Nek6LrnxN1L4mwXGgy63oukatHaeGrzWLhbvVNcs9EU+Dl7b9iX4iftqftFftTftV654w/aYs9O/Z1/Zs/a1+Mvwi0j4N2Xwb+Gk2s+PdFsEvLfw/omq/EeHTdP17w5ovgESeH9Q027sbLUfE3im4u9ZtPEHiF7aOxMO8KNR144WrH6tiFgcRj8VRrNc+Bo4eWVwccR7J1YzqVZ5zgKdJYSeJi608RQnKE8HiJkVJxhTxFWDVelRxtLAUqlHWGLxNXE5vhXCg5qm4qlUyPMJzliY0FLDxoYilzwxNGC/Tr4h/wDIatf+wXB/6V3tcHWtc2njLT9X8RD4ma94Y8XSXniLV7/wM/gXwlqvw6Tw78Obi5b/AIRnwr4sj8QeNfii3jPxtpDJfnXfH+jy+AtC8RC5s10/4a+FjYzNqDfO0X/oH6p/4OLT/wCUdZFH+PnRRRX9IH8/n+pz/wAE9v8AkwX9h7/s0D9mn/1THgqvr+vlL/gnlLpA/YC/YcEtjqTyD9j39mcSPHqtrGjOPgt4K3skbaPK0aM2SqNLIVBCmRyNx+wfO0X/AKB+qf8Ag4tP/lHX88Y3/fcZ/wBhmL/9S8UfvGE/3TCf9gmF/wDUbDBo/wDx9zf9gvXP/TLqFZddNpUukG5l8ux1JW/s3WCS+q2sgKDSL4yqFXR4yHeMOkb7iI3ZZGjlVTE+b52i/wDQP1T/AMHFp/8AKOuY6DLorU87Rf8AoH6p/wCDi0/+UdHnaL/0D9U/8HFp/wDKOgDLrU0//j01z/sFw/8Ap60ejztF/wCgfqn/AIOLT/5R1pWMukG21jZY6kqjTYjKG1W1Yun9r6UAsbDR0EbiQxuXZZQUV4/LDSLLGAczRWp52i/9A/VP/Bxaf/KOjztF/wCgfqn/AIOLT/5R0AZdFannaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdABN/yBdP/AOwprH/pJodZddNLLpH9kWJNjqRjOpaqEQarah1cW2j+YzSf2OVZGUxBEESGMpIzSSCRVizfO0X/AKB+qf8Ag4tP/lHQBl0Vqedov/QP1T/wcWn/AMo6PO0X/oH6p/4OLT/5R0AZdamof8emh/8AYLm/9PWsUedov/QP1T/wcWn/AMo60r6XSBbaPvsdSZTpspiC6raqUT+19VBWRjo7iRzIJHDqsQCMkfllo2lkAPMvCHiT/hKtKu9T+xfYPsvijxv4b8j7R9q8z/hDfGmv+EPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zdPWZ4Q8U6L4q0q71P8AsPVLD7L4o8b+G/I/4SC0uvM/4Q3xpr/hD7b5v/COW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T+dov/AED9U/8ABxaf/KOsMNLnw9Gftfb81NP23J7P2nvVFz+z05L8tuW32L/aPRzaj9XzPH0Pqf8AZ/scTKH1H6x9a+qWpYSXsPrN37fl9pz+0u7/AFjlv+60y6K1PO0X/oH6p/4OLT/5R0edov8A0D9U/wDBxaf/ACjrc84Nc/5DWsf9hTUP/Suasuum1iXSBq+qiWx1J5BqV8JHj1W1jRnFzLvZI20eVo0ZslUaWQqCFMjkbjm+dov/AED9U/8ABxaf/KOgDLorU87Rf+gfqn/g4tP/AJR0edov/QP1T/wcWn/yjoAND/5DWj/9hTT/AP0rhrLrptHl0g6vpQisdSSQ6lYiN5NVtZEVzcxbGeNdHiaRFbBZFljLAFRIhO4ZvnaL/wBA/VP/AAcWn/yjoAy61ND/AOQ1o/8A2FNP/wDSuGjztF/6B+qf+Di0/wDlHWlo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3AA96ooooA/l+8N/8E8v2sxc/tH6f8MP2epf2Yfjt4wg/4KgTal+2bD8VfhFYTftBeHP2lPi74u8TfssfDuLWvAHib4hfFqyl8D2WreH/ABPG/wAU/hlYeFvg0/h4P4Jj8Q6z4r8TaJBe/Z//AOCbPjH4d/8ADOvjCy/Yp+ISab8N/wBtiT4kaH8M/j1L/wAEw9O8RfBvT9b/AGTvGnw5uvjh4Z+Hf7EPg34G/s7fC/wnpnxvn+Geu+JV+Evi34hfH/xk3w+0L4rr4atfGel6Z4fsen8Wf8FGf2irzUYZfA3xB8TeHdJWyjjuLLxZp3wa8Z6jLqInuWmuodU0f4KeA7a3sntmtIY7B9HuZ4p4Lm4bUpo7qK1s6Xh7/got+03baxZz+LPiXrOtaAn2j7fpnh7w/wDCHwxrFzutZ0tfseual8JvF1lY+TetbXFx53h7UPtNrFPZx/ZJbiO+tv6Dw/0YOP6OXU/Z5hkFKdPLsPh6dL65jqeZUlg8DVwFKNCNPLp4XC4j2HLWw2HwuIo4LCZrKpnOElh8yx2Y1a/874n6T3h/XzGt7TLuIKqrZhjcRUrLAZdPLJyzGzrTqKePp162GjKpKFWpWws8TicupwybF08TlWEwWHoer/8ABHb9kX9o39mr4z/Hrxh8UvgF4w+BHhD4x/AH9nOXxRpfiF/2NLLStV/ab8H+Lfjjd/GK78M6f+yz4o8a+NfFPhd7Lxv4bk8J/Fz9qH4ifGj9pj4iaE0Uvxo+MXiTxRpMNnYf0BV8S/G34h67e/sG6t8TrLX/ABJ4Wm134K+CvFHivxlYa6NL8Y+DvA/iSw8OXfxQ8bWHijwj4f0VdL8UeEfAGo+KfE1n4h8M+G9AXT9X0yLVNG07QVhtksvnj9nz4s/B7UP2T/jhpT/tSeONR+AZ8R/HwfAv49WHxq8U/FP4r6r+zL4Wk8J6X4v+KfgP45a7efET4m/Ebwd8LvG3jPXPDcX7QFxqfjObwloUHh7WLvx01vY6T4jf8EzKrVo4jM8FXpYejV4awzwcqdKUaND2eEzHMaPsFeVRYSjhVia2HwEZOdOWAyueFoStk9WvP9/wk6WIpZbjqMq9WnxHP69CXL7av+9y7B4hVXCFOlLF4nEU40a+MlGEK08ZjqONxNp5xCEf1hor8/v+CZ3jV/G/7Lmn3SeObb4naVo/xI+KmjeGfiBoPx38YftU/D/xH4RbxrqmueFbf4Y/tTfEOR/iD+0X4O8H6Drdh8Pp/ir42jtfEGq+MfCXizR57K0ttDtIE/QGorUnRqcj5tYUai54Spz5a+Hw+Jgp05e9TmoYmMZwklKM4yTjF2RrTqKpGTTg+StiaDdKpGtSlPC4rFYScqVWKUatKdTCznSqRSU6coSS1CiiisjQKKKKACiiigAooooAKKKKACiiigCte2kd/Z3djMzrFeW09pK0ZUSLHcRPC7RlldQ4VyULI6hsEqwyD+dXhf8A4JgfALwl8Ff2c/gTpvi74vz+Ef2Yv2gdM/aQ8Bajfa/4Lk8R6v440rxFrnia30rxfdwfD+20y/8ACj3+v3kM1jo2kaBq7WcVtGmuxzJLcTfo9RRT/dVfb0/crc2Dn7SPxc2X4upj8FK7ur4XGVauJpe7pVnJyVSNoIn+8p+xn71JrFRdN/DbHYGrlmMWlnbEZfXrYSrrrRqSUeSTVSP5y/Ez/gmJ8BPir/w2V/wkPi74vWf/AA3Dc/CK6+LH9ja/4Mt/+Eek+C95a3vhYfDz7d4A1H+yUv5bOJdfHiT/AIS1rqNpBpzaUxV1rfAD/glz8Af2fvi94W+Mtj49/aF+KuvfDTw3qfg/4J+Hvjd8W7z4geDfgR4X1bT5tFvNB+FGivpOlz6LpQ8PTv4etrHWNR1+3s9LEZtY4r+NL4fpHRSpJUElRSgo0KWGSSTiqFDB4vLqNNRmqkV7LAY/HYOE1D2scPjMVSVblxFZVCt/tCqKt+9VWtVxFRS+3Wr1MDVrTlblb9tUyzLp1oN+yqvA4VVKNSNGEV+VWif8EfP2WdB+I+neK7TxZ+0HN8LNF+Jkfxh0P9k68+Ll3P8Asq6N8RYP9JtPEdj8MBo6agZbPWi+uxWd34qutOkuJJdFurS58ISN4bP2P+z9+zB4B/Zv1T46av4H1fxhqtz+0F8a/Fvx48Zp4r1DRb6DTPF/jL7N/amneGF0jw/oUll4bg+yx/YLPVZda1OLc/2jWLrK7fo6iqpt0oRp024Qhh5YRJNv/Z5ywUpUpSk5zqL/AITcvgpValarCjgcJh6danhqFPDRKn76dSpV9+dWvDE1JS3lXp1MdWhVsuWMZKvmeY15ezhTjUxGOxWIqwrYivOu/G/iH/yGrX/sFwf+ld7XB13nxD/5DVr/ANguD/0rva4OkB/kD0V/SJdf8Gu/7ftndXNpL8Xv2PWktbia3kaPx/8AGkoXgkaJyhb9n5WKFlJUsqkjGVB4EH/EL/8At9f9Fd/ZA/8AC++M/wD84Cv3X/WTIf8AobYP/wADqf8AzOfi/wDq/nf/AELMX/4DT/8Al5/X5/wT2/5MF/Ye/wCzQP2af/VMeCq+v68I/ZZ+F+v/AAQ/Zj/Zz+C3iu80fUPFPwh+BHwh+F/iW/8AD1xe3egX2v8AgD4feHvCms3mh3WpafpOo3Oj3Oo6TczaZcX+laZezWTwSXWn2U7SW0fu9fiOKlGeKxU4NShPFYmcJLaUJ4nETjJaLSUZxktFpJaLZfsOGjKGGw0JJxlDDYeEoveMoYehGUXq9YyjJPV6p6vd6mj/APH3N/2C9c/9MuoVl1qaP/x9zf8AYL1z/wBMuoVl1gbhRRRQAVqaf/x6a5/2C4f/AE9aPWXWpp//AB6a5/2C4f8A09aPQBl0UUUAFFFFAGpN/wAgXT/+wprH/pJodZdak3/IF0//ALCmsf8ApJodZdABRRRQAVqah/x6aH/2C5v/AE9axWXWpqH/AB6aH/2C5v8A09axQBwnhDxJ/wAJVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp65jwh4k/4SrSrvU/sX2D7L4o8b+G/I+0favM/wCEN8aa/wCEPtvm+Rb7f7R/sP8AtD7P5bfY/tX2Tz7ryPtM3T1hhpc+Hoz9r7fmpp+25PZ+096ouf2enJflty2+xf7R6ObUfq+Z4+h9T/s/2OJlD6j9Y+tfVLUsJL2H1m79vy+05/aXd/rHLf8AdaFFFFbnnGprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1ZdABRRRQBqaH/wAhrR/+wpp//pXDWXWpof8AyGtH/wCwpp//AKVw1l0AFamh/wDIa0f/ALCmn/8ApXDWXWpof/Ia0f8A7Cmn/wDpXDQB9GUUUUAfw6f22P8AnqPzP+NH9tj/AJ6j8z/jXkv9sn2/M0f2yfb8zX+r/wDaHn+D/wAz/Jz+z/Jf+Ar/ACP7dP2Yn839mv8AZ6kznzPgd8Jnz67/AAFoDZ/HNe414F+yk/mfsufs2Sf89PgF8HX/AO+/h54db+te+1/ltn75s+z5989zt/fnWcP9T/U3IFbIMhXbIsjX3ZLk6/QKKKK8k9YKKKKACiiigAooooAKKKKACiiigAooooAKK4yf4j/Dy28eWfwsufHngy3+J2o+HpfF2n/DifxRocXjy/8ACkF3NYTeJ7PwhJfL4guvD0N9bz2UutQac+mx3cE1s9yJo3RezoWsYyWsZc/LJaxl7Ocqc+WSvGXJUjKnPllLkqRlTnyVIyhEejcXpJKLcXpJKcVODcXZpTg1ODaSnBqcHODU2UUVxniH4j/Dzwl4j8H+D/FXjzwZ4Z8W/EO61Gx8AeFvEPijQ9F8R+Ob3R4ILrV7PwfompX1tqfia60u2ura41G30W1vZbGC4gmuUijljZjeUYrWU5KEIrWU5tSahCKvKc2oTahCM5tQm1FqEnE6SfSEZTk+kYRs5Tk9owimnKcnGMU05Simm+zooooA8b+If/Iatf8AsFwf+ld7XB13nxD/AOQ1a/8AYLg/9K72uDoA/wArqT/gof8At/yu8sv7c37YkkkjtJJJJ+018aneR3JZ3d28bFmdmJZmYksSSSSa/VD/AIInftk/te/Fb/gpx+zP4B+KP7VX7SPxJ8C69/wub+3PBfj745fE7xj4S1r+y/2fvitrWmf2t4c8ReKNR0fUf7O1jTtP1aw+2Wc32TU7Czv7fy7q1glT+eyv2C/4IIf8pZf2Uf8Auun/AKzX8Y6/cM2wmFjleZSjhcLGUcBi3GUcNhoyi1Qm04yjh4yi09U1JNPVNPU/HcrxOJlmWXxlicTKMsbhVKMsRiJRadaCacZV2mmtGmmmtGmtD/SGooor8PP2I1NH/wCPub/sF65/6ZdQrLrU0f8A4+5v+wXrn/pl1CsugAooooAK1NP/AOPTXP8AsFw/+nrR6y61NP8A+PTXP+wXD/6etHoAy6KKKACiiigDUm/5Aun/APYU1j/0k0OsutSb/kC6f/2FNY/9JNDrLoAKKKKACtTUP+PTQ/8AsFzf+nrWKy61NQ/49ND/AOwXN/6etYoA4Twh4k/4SrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1zHhDxJ/wAJVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp6ww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv9o9HNqP1fM8fQ+p/2f7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/1jlv+60KKKK3PONTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasugAooooA1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhrLoAK1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAPoyiiigD/ADvf7b92/wC+qP7b92/76rmvHnxj+I/xT1e28QfE74heN/iNr1npsOjWmt+PPFWueL9XtdIt7q8vbfSrbUvEF/qF7BpsF7qF/dw2MUy2sV1fXlwkSy3Mzvm+EfiX4w8AeIdP8XeA/FvibwT4r0n7X/ZXifwjrmp+G/EOmfb7G50y+/s/WtGurLUrL7bpt7eafd/ZrmP7RY3dzaTb4J5Y3/0njj8R7C8lh1ivZt8kamIeG9raXLH2sqKxHsm+Xml7H2iTlywbUb/5uSy7De3tH27wvtEueVKgsT7K8eaXso1nh/apc3LH23s21Hmmk5W/vD+AHj/wp8NP2F/gV8SvHWrDQ/B3g39lj4T+KfEmrfYtR1SWz0jS/hX4evryS20rR7TUNZ1e+aKMx2OkaNp+oaxq168GnaVYXuoXNvbS9foX7VXwO8RfAzX/ANo3T/E+v23wu8KQeJ28USa98Nfih4W+IXhzU/B2oXWk6/4S134K+J/BmkfGnSfiHb6vanSLL4aX/wAP4PiDrWq3elabonhnUb7WtIgvvGvCvhfxz8e/+Cd/we0/T/EEWo/FDxZ+zn8BPG2keIfHWta+9lr3xI0Twx4G+IOjz+PfEGnrqXiWbSfEni3SLSHxnqtvb6vq0+mahqtybHV7h2s7rH8I+Av22Ph58F/jbq/gzwx+y2v7T/xl134r/Fyw0bxL8Vfixq3wH+HfxV1e38DeEfhb4NuvEemfBPQfiB8Svh/a+DvDk+u+PfGkfhX4YeIp/E2nQ6D4e8DxaV4nk8QeDv8AOPOqlZ5xxRKcXGVPHY+rhnSpupz4mec4x16VOM50/rKlCeOjFT+r/VfquFrVvbLGSpP/AEVyaEFlfC9Om4yp1cBgKeKdeoqEaVCnlGXqhKrVpwrfVtIYaUpwp4p1nicVSoQU8BCVX6n+CXx0+G/7Q3gj/hYHwvv/ABLc6HDr2u+FtU03xv8ADv4jfCLx34a8TeGr57DWfD3jP4X/ABd8KeBviX4I1u1kEN3HpXi/wlol9e6PfaVr1hBc6JrGlaheeu18yfsj+B/it8P/AINafonxw8OeD9D+K1zr3iDXPHGp+D/jLrnx4Tx34g1q9F9qXxA8QfEDXP2f/wBmMf8ACReJruSaa48JeHfg94W8DeBNNg0rwd4AsdO8F6LoWh6R9N1jXjCFRxpyhKKhRvKnUlVpuo6FCVZ0pzp0qkqXt5VvZe2pU68afJDEQhXhVjHqpSlOLlJSSdXEcntKTo1PYrE4iOHdWl7SqoVXh40JVVGpOm6kpSpycJRsUUUVkaBRRRQAUUUUAFFFFABRRRQB+Vv/AAVZ+P37Q3wF8CfszN+zZ440XwL44+K37WPwy+EV9f8AiPwxofirw9qOieLtP8SK+k67ZavpWpXlto9xqdppsupXnhqXSfEqWcE0WlavZSylz+aXjX9oL/gqT4Sf/gob8Lo/20vBGpXn7BHhzwr8YLj4wH9lr4dWXjT4o6d4t8AHxHZ/CxdCF3e/DjwR4bt4LLVdROsv4Y8V+NZtaghjTX20K4msNO/eb9pb9lT4eftUW3wgtfiDrPjPR4/gr8aPBvx08LN4N1HQ9Pe/8W+B/t39k6d4gOt+HfEK3Xhy4/tCb+0bTTl0rU5dsX2bV7Ta+/zbxJ+wH8HPFGsftpa3qHiX4lw3f7dXg/wn4K+LcdnrPhaO38O6V4O8I6n4L0y4+HKT+DbiTSNQn0vVbi4v5fE0vi+2lv0hlt7S1t1e1k5owxFPD45wlfFVKmd1sI5yU4Rm8JwgsgX7yMoU6dDHYTiavWpckqUva0oYynisNio4aHS50ZVcHzRtRpU8pjXUYKMpyjnGfTze9rSqurk2KyqlTk3ze0pWoOjXw/t3+Nmu65+0V+1V/wAFDv2MPHfwZ+KfhP8AZw+K3xg/4JWeDPiH4k+Ic3gHTvijF4Ms/Evi7W/E3iC18E+A/FOq2Gja5qGoaxc2ehW8fiK6u4NK8M3+samq3GrWFhOvX3f7bv8AwUTn/ZI+PXhbw0198SP2hv2Z/wBtKT9nL4pfHb4KfBfw98SPGr/B/SZbrVtb+LXhj4DD+z/A+s+K7M2kXh+/0a4i0fw/Z6LqMb6gdB1S11Dxdpn3l47/AOCRXwB8b618EvFNr8Xv2ofh34z/AGev2ffCP7Ofws8cfCr4paH4C8YeH/C/g976K08VLr2j+BVvG8b6to+r634b125iaDwtfaHrWoQReE7W8NrfWvSH/gk9+ysv7Nln+zbbTfFWygsPiknx0tPjbaePpE/aBt/jgGt45vi1D4+k0qXTofGV1YW0WmTvD4Zj0QW6reW+jQazFBqkXXiOT2eLpYRezw0cXm9TCYWzalHG8fYjPcDWo1JVacsDQw3D9WrhMZl8K9F4+eKWFnXjKh9cjy4e8ZYCdd+0rU8HlVCvXbd4PA8KZhk+Kp11yVXmFTEZjUyivhMZUpVngp5dVxboVFWq4bG/k/4D/wCCm37QfiP/AIJtfto/F7wv+1p4Y+K/xg+Duu/CbUvh14yufgl4b+Gvxi8GeGfHvxF8PeFb3TPiv8KJvCmtfAwy3cFvrK+Hrz4feI/ipYxWWqTnXPFFlr0FhYafsftTfDv9s9/j9/wSlsfGf7UnhXxd+0P8S/iL+0H4j8J/Ea++C/g/w74N+Bdh4n+GHwskvPD3h3wTomo28XxJm8AJJ4h1Dwpf+NNYNx4x1gaJY+IYItON3BP+mdr/AMEl/wBn1vgv+0D8IfE/xN/aR+I2r/tNXfgKX4sfHP4mfE7S/HHx21fTfhjqui6v4H8P23i3XPB1xoEOjaFNowtoI7nwjeX8un39zZ3GoSxWWhDR/VP2qv8Agnn8Gf2vLv4E6h8Q/GHxi8J6l+zoviSf4bat8LPGem+C9astb17TvDlpY+KLjWx4a1LV7fxF4R1HwpoXiTwre6FfaJDaa9ZLLqlrq+mu+mGpOnHE4bEqm6jpZtw5iakYT9k4YPAcPZthczWDqSjSlRr1s2xOAnOtyUMTi1SxNT2tLD1ajxKpKfsKlCVRQU8FxVShOdNVb4nM8Tkjyh4qnGVRVsNQo0c2Sw7nWw+Goyw6lQrYmUaNP8tfE/8AwUM/a/8A2PPCn/BRL4VfGnxt4K/aX+LX7K1h8Ddd+FHxhf4f6T8PrPW7X4+XuhaRZ2vjzwD4CltdIsIfCH9tW2rWtpazw3d3cR3ljqOvX9jf6Vd2v6b/ALKHw0/4KEfDnxvcH9pr9p34X/tPfCbxL8OtK1GPUYvhbpHwf+JPgH4opeK9zoXh/SfAvh+Lwr4u+Ht3pE8xvPEniTVdO8TT6pBpv9neGtEs4NRXVqPw0/4Jgfsx+AvhT8dvhT4nf4nfHRP2mJtNm+OPxE+OvxAv/GnxT8ft4fkkn8JHUvF2nWnh37LP4OupXvvDuoaXp9jqkF8Iru+vr+e2tXhufsw/8E4Pg9+zF8Q1+LMfxN/aI+PfxI0zwRD8NfBPi79pP4p/8LL1D4Y+AVm8+88J/Du2tNA8NaX4e0nUnS3SdW0+8uLK2gksdFuNKsNU1y21V4eSg2sRONWv9RwdKrjFRSoV3TyzH0K+GpZbaEcPiVmFbLq7zTmpSxCwdXEz5KihgMfNeLnBewhKlT+t42pDCyrN1qftMZktTD4iWPvKUqEcPhc7Sy61eNCOY0sKvaQ5sVl3vlzd+MtQ1fxEfiZoPhjwjJZ+ItXsPAyeBfFuq/EVPEXw5t7lv+EZ8VeLJPEHgr4XN4M8bauz3413wBo8Xj3QvDotrNtP+JXik30y6e3ydF/6CGqf+Ce0/wDl5XUfEP8A5DVr/wBguD/0rva4OsjQ/wAfev2H/wCCBQgb/grT+yeLiSWKE/8AC9t8kMKXEq/8Y0/GQrthkntkfL7VbMybVJYbioRvx4r9gv8Aggh/yll/ZR/7rp/6zX8Y6/d84/5FOZ/9i/Gf+o9Q/Fsq/wCRnl3/AGHYX/0/A/0mvJ0X/oIap/4J7T/5eUeTov8A0ENU/wDBPaf/AC8rLor8IP2k6bSotIFzL5d9qTN/ZusAh9KtYwEOkXwlYMusSEukZd402gSOqxtJErGVM3ydF/6CGqf+Ce0/+XlGj/8AH3N/2C9c/wDTLqFZdAGp5Oi/9BDVP/BPaf8Ay8o8nRf+ghqn/gntP/l5WXRQBqeTov8A0ENU/wDBPaf/AC8rSsYtIFtrGy+1JlOmxCUtpVqpRP7X0oho1GsOJHMgjQozRAIzyeYWjWKTma1NP/49Nc/7BcP/AKetHoAPJ0X/AKCGqf8AgntP/l5R5Oi/9BDVP/BPaf8Ay8rLooA1PJ0X/oIap/4J7T/5eUeTov8A0ENU/wDBPaf/AC8rLooA6aWLSP7IsQb7UhGNS1Uo40q1Ls5ttH8xWj/tgKqKoiKOJXMheRWjjEatLm+Tov8A0ENU/wDBPaf/AC8om/5Aun/9hTWP/STQ6y6ANTydF/6CGqf+Ce0/+XlHk6L/ANBDVP8AwT2n/wAvKy6KANTydF/6CGqf+Ce0/wDl5WlfRaQbbR999qSqNNlERXSrVi6f2vqpLSKdYQRuJDIgRWlBRUk8wNI0UfM1qah/x6aH/wBgub/09axQByvg7X9I8V6ReapIdS05rXxV468NC3Sztb0SJ4M8b+IfB8V+Zm1GyKPqkehJqclp5LjT3u2sFu79bYX1x1Xk6L/0ENU/8E9p/wDLyuE8IeJP+Eq0q71P7F9g+y+KPG/hvyPtH2rzP+EN8aa/4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TN09YYaXPh6M/a+35qaftuT2ftPeqLn9npyX5bctvsX+0ejm1H6vmePofU/7P9jiZQ+o/WPrX1S1LCS9h9Zu/b8vtOf2l3f6xy3/daank6L/0ENU/8E9p/wDLyjydF/6CGqf+Ce0/+XlZdFbnnHTaxFpB1fVTLfakkh1K+MiR6VayIrm5l3qkjaxE0iK2QrtFGWADGNCdozfJ0X/oIap/4J7T/wCXlGuf8hrWP+wpqH/pXNWXQBqeTov/AEENU/8ABPaf/LyjydF/6CGqf+Ce0/8Al5WXRQB02jxaQNX0oxX2pPINSsTGkmlWsaM4uYtivIusStGjNgM6xSFQSwjcjac3ydF/6CGqf+Ce0/8Al5Rof/Ia0f8A7Cmn/wDpXDWXQBqeTov/AEENU/8ABPaf/LytLR4tIGr6UYr7UnkGpWJjSTSrWNGcXMWxXkXWJWjRmwGdYpCoJYRuRtPM1qaH/wAhrR/+wpp//pXDQB9GUUUUAf5h39rj+8P++hR/a4/vD/voV5P/AG0P75/76P8AhR/bQ/vn/vo/4V/fX1193/4Ev8j+Df7Pfb8H/mf6Vf7Ej+Z+xh+yLJ/z0/Zh+Ab/APfXwp8Jt/Wvp6vlb9hR/N/Yi/Y4k6+Z+yt+z0+f9/4R+EG/rX1TX8K5s75tmr75pmj+/Msxf6n9x5UrZVla7ZXli+7LcuX6BRRRXnneFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeN/EP/kNWv8A2C4P/Su9rg67z4h/8hq1/wCwXB/6V3tcHQB/m/T/APBAr/grTbTzW837J+ya3lkhlT/he37NLbJYnMci7k+MjI211I3KzKcZUkYNfo5/wSM/4JGf8FDP2YP+Chf7Pvxy+OX7Pv8Awg/wt8D/APC1/wDhKPFH/C1/gh4l/sv/AISX4IfErwhon/Ek8IfErxB4ivftviLxBpGnf8S7SLv7N9r+13fkWMFzcw/nHP8A8F9f+CtNzPNcTftYb5riWSaV/wDhRP7NK75ZXMkjbU+Daou52J2qqqM4UAYFf0ff8G+X7e/7WX7cH/DXH/DUXxX/AOFn/wDCsP8AhQn/AAg3/FC/DXwV/Yf/AAmv/C6f+Em/5J54O8Jf2n/af/CJeH/+Qx/aH2P+z/8AiX/ZPtd79p/U85r8R4fK8bUxayV4eVF0Kqw6xjrcmJaw7dP2jUOZOoneTsrXs9n+bZTRyCvmOEhhXm6rxqqtSdd4RUubDp17T5E58rVO1oq7va63X9IdFFFflh+kmpo//H3N/wBgvXP/AEy6hWXWpo//AB9zf9gvXP8A0y6hWXQAUUUUAFamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9AGXRRRQAUUUUAak3/IF0//ALCmsf8ApJodZdak3/IF0/8A7Cmsf+kmh1l0AFFFFABWpqH/AB6aH/2C5v8A09axWXWpqH/Hpof/AGC5v/T1rFAHCeEPEn/CVaVd6n9i+wfZfFHjfw35H2j7V5n/AAhvjTX/AAh9t83yLfb/AGj/AGH/AGh9n8tvsf2r7J5915H2mbp65jwh4k/4SrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1hhpc+Hoz9r7fmpp+25PZ+096ouf2enJflty2+xf7R6ObUfq+Z4+h9T/s/2OJlD6j9Y+tfVLUsJL2H1m79vy+05/aXd/rHLf91oUUUVuecamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1ZdABRRRQBqaH/AMhrR/8AsKaf/wClcNZdamh/8hrR/wDsKaf/AOlcNZdABWpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNAH0ZRRRQB/lT/E3wN4m+EuvWnhzxVqvw71XUL3SINbhuPhl8X/hJ8atBSzuby/sI4bvxT8G/G3jzwxYaus+m3D3Hh+/1i2161s5LDUbrTYdP1XS7q8yPAmg6z8RfFWleDfD9/wCEtP1fWPt32S88d+P/AAF8LvCsP9n6bearcf2r47+JviTwj4I0LzLWxmisf7b8Q6f/AGnqT2ej6b9r1fULCxufAv7X/wCmn6f/AFqP7X/6afp/9av7FWLrey5XVi63I17VUkoc+tp+w9q1ZXV6ftrOzXOubT+RXg6XteZQmqXOn7J1ZOfJpeHt/ZJ3etqnsbq6fI+XX/T3+DHje+/Z5/4Jt/s8+J7rStE8Y+JfAn7Kf7PWgaT4f0bx14auPDXjHx7e/D7wL4N8KeHtM+Jnh6bxV4Rm0DxR4z1HSdJtfHfh+XxRoMmm6gniDRRr9ibVLz1n4LfHrxf4/wDhb8Q/Evj34Tt4Y+K/we8U+OfAvxF+FPwy8Yr8WNPvfF/g2wtNes9P+FvjnX/DHwjl8a2PjHw3rPhrUfDl74o8HfDe7iv9aOj+INK0SXTru5Hjv7J3w70f4w/8Ewv2UPhzr2o65o+neMv2KP2ctOOveGLy20/xP4cvn+DXgi60nxP4Zv72x1Oxs/EfhvVoLLXdBur/AEzU7CDVtPs5L3Tb+1Wa0m98+Bv7P8fwN0mLT7X4sfFP4jajqeq+OfFXxG8TfEf/AIVlPr/xc8f+OdT0C8fx/wCNm8EfDTwNpGka14X0nw/D4R8JaD8MdI+Hfw907wtdy2F94K1S70/w9qGi/wAhY1VJZnnyq1HCNSviY4WrGFOUqeJ+v4uVSrTpNOMdVivaxxDr0p+2y1U4qnhMcq39X4OywGROlC8aeGoSxdOc5JVKKwOD9jSc0lN80fYQpzo+yqU6lPH1arar4ONPR/Zr+Ml3+0F8Dfh38ZL/AMDap8M77x3o9xql78P9b1nRfEOteEbu21XUNLuNC1fWvDc114d1DVLGaweLUJtBvtT0UXYmj0vVtWsUg1K69xrzn4S/DHQPg18PfDvw18MXer3+heGU1KOwu9euLK61aZdU1jUNbuDdz6fp+l2chS61KeOHybC3C26RI4kkV5ZPRqwveNNuKhJ4fB+1hGUpRjiPqGWLGKEptynBZgsz9nOWs6bpTtGM4Qh0xUlzKUnO1XE8kmoxcqP13MHhnKMEoxk8E8v54xVo1FUjduMpTKKKKRQUUUUAFFFFABRRRQAUUUUAFFFfz96n+37/AMFLvGFx+3L4q+CXwj/ZG1H4V/sSfGf4u+Etcu/Hj/Fuz8cfEDwb8OWur86P4Q0rQvFM+jzeOdH8N6Rc6r4g1zWNS0PQtWl1/RbLQPDcd1p99De5SrUoVJwqS9nGjg62YYitNSVDDYLDYnBYWvia9RKThTpVcfhnLlp1Z+zdScac/ZyitY0alSClTjzylicNgqVKLXtq+LxscZLCYahTbj7SriJYKtTppzpx9o6UZzgqinH+gSivwv1L/got+118cvjl+zd8J/2N/h1+z7ZWX7Q37G/hv9p6XUf2hv8AhY9zH8O7y78YaxpPiOx1XVPh5rFlL4h0q1tNIj8OaJZWPhnTby+8SarZ67eaxZ6LDcaVTPE//BQD9u7x9fftS/FL9l34Qfs0a5+zT+xh4x8U+AfiUPipr3xBtPjB8Ytf+Elm2ufF24+EkfhHULrwv4Tso9H8qPwxB42tdVlxPY6kLnxDfXOoeE9D1q/uIznX/cQpf2jPETqfBhsNlOYLKcdj68oe1UcDTzKVPBU8RFVXia1SLw+HqUVVxFDKn++9l7D9868Ms+rxp/FXxGcYatjMtwFKM/ZN4/E4XD166w0nD2UKTVbEUpypQrfunRX87f7W3/BZvx74Ik/ZpvvgNZfAf4b+DPjz+zxB8dbfx9+1Zofxr8QeHtX1nVNaXQoPg/4Y/wCFEWl6+keMvC97Z6j/AMJNrfiyaHwbsurKS71rw1axWV34h5L9qL4+ftu/GH4gf8EkfGHwxuP2dPCmt/FTVfGurweDLj4p+IfiN8HtW+OXhXSdU03X7zxZ4k+CfiXxJ4R8YfDOw0Hbf/D+bw3rXiHxL4c8RaprelapqchguZZdIUqs69ChycntM/ocP1pzceXD4mrisxws6r5HUVSlTq5XiVHlnCpUjLD11Sjg8RQxOIl1Kfs5TVSGuSV88optxVTDUqGErwhKUop0pzp4ynOTcKsKUaeIhKbxNCphY/0o0V/OH+2H/wAFiP2gf2W/jZ4m0u6sP2Mj8O/CHxRTwOnwUbx/4x+Iv7VPjnwz4fvtAtfFfjeO++FGr+IPhR8FoNZt9Xub7wr4Z+N7eG/G9nBpt6s/hXxBcWpgn9f/AGe/Ff7Xev8A/BZX9q/S9U174Saj8JfDvgH4ax+ItF1HVPidea34a+EWteH9b1r4UWvwp064uZvDWjeONR8QXWm6l8YIL6ODwxd3E+tXnhsS3stvK2eE/wBslg3SsqGMjnHLiJu0ac8oymGbypzilLXE4etRlTlGdRUoTl9YjRxMJ4Gk8Q/q0MQ6sZRrYenltX6u4/vKkMxzKllrUPet7TC16ihVpvk563LTo1K1KX1w/Xn4h/8AIatf+wXB/wCld7XB1rXN34y1DV/ER+Jmg+GPCMln4i1ew8DJ4F8W6r8RU8RfDm3uW/4RnxV4sk8QeCvhc3gzxtq7PfjXfAGjxePdC8Oi2s20/wCJXik30y6e3ydF/wCghqn/AIJ7T/5eUDP8eOv7BP8Ag1D/AOb9v+7W/wD34uv4+6/sO/4NOksn/wCG+ftlxdQY/wCGWfL+zWcV3vz/AMNG79/m31l5e3C7dvmb8tnZtG/9m4r/AORBj/8AuW/9S6B+S8M/8jvBf9zH/qLWP6+qK1PJ0X/oIap/4J7T/wCXlHk6L/0ENU/8E9p/8vK/GT9aDR/+Pub/ALBeuf8Apl1Csuum0qLSBcy+Xfakzf2brAIfSrWMBDpF8JWDLrEhLpGXeNNoEjqsbSRKxlTN8nRf+ghqn/gntP8A5eUAZdFank6L/wBBDVP/AAT2n/y8o8nRf+ghqn/gntP/AJeUAZdamn/8emuf9guH/wBPWj0eTov/AEENU/8ABPaf/LytKxi0gW2sbL7UmU6bEJS2lWqlE/tfSiGjUaw4kcyCNCjNEAjPJ5haNYpADmaK1PJ0X/oIap/4J7T/AOXlHk6L/wBBDVP/AAT2n/y8oAy6K1PJ0X/oIap/4J7T/wCXlHk6L/0ENU/8E9p/8vKACb/kC6f/ANhTWP8A0k0Osuumli0j+yLEG+1IRjUtVKONKtS7ObbR/MVo/wC2AqoqiIo4lcyF5FaOMRq0ub5Oi/8AQQ1T/wAE9p/8vKAMuitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygDLrU1D/AI9ND/7Bc3/p61ijydF/6CGqf+Ce0/8Al5WlfRaQbbR999qSqNNlERXSrVi6f2vqpLSKdYQRuJDIgRWlBRUk8wNI0UYB5l4Q8Sf8JVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp6yfB2v6R4r0i81SQ6lpzWvirx14aFulna3okTwZ438Q+D4r8zNqNkUfVI9CTU5LTyXGnvdtYLd362wvrjqvJ0X/AKCGqf8AgntP/l5WGGlz4ejP2vt+amn7bk9n7T3qi5/Z6cl+W3Lb7F/tHo5tR+r5nj6H1P8As/2OJlD6j9Y+tfVLUsJL2H1m79vy+05/aXd/rHLf91pl0VqeTov/AEENU/8ABPaf/LyjydF/6CGqf+Ce0/8Al5W55wa5/wAhrWP+wpqH/pXNWXXTaxFpB1fVTLfakkh1K+MiR6VayIrm5l3qkjaxE0iK2QrtFGWADGNCdozfJ0X/AKCGqf8AgntP/l5QBl0VqeTov/QQ1T/wT2n/AMvKPJ0X/oIap/4J7T/5eUAGh/8AIa0f/sKaf/6Vw1l102jxaQNX0oxX2pPINSsTGkmlWsaM4uYtivIusStGjNgM6xSFQSwjcjac3ydF/wCghqn/AIJ7T/5eUAZdamh/8hrR/wDsKaf/AOlcNHk6L/0ENU/8E9p/8vK0tHi0gavpRivtSeQalYmNJNKtY0ZxcxbFeRdYlaNGbAZ1ikKglhG5G0gHvVFFFAH+OD/a/wDtt+f/ANej+1/9tvz/APr15n/aT/3m/M0f2k/95vzNf059af8AV/8AM/m/6kvL7/8AgH+uF/wTqfzP+CfX7CknXf8Asb/sxP8A99fBPwQ39a+yK+Lv+Cbrb/8Agnd+wS5/j/Yu/Zbb/vr4HeBT/WvtGv5txzvjsa++Nxj+/GYt/qf0PglbBYNdsHhF92Ewq/QKKKK5TpCiiigAooooAKKKKACiiigAooooAK/mm+DX/BP/APam+M3j7/gpRpNr+0D8a/2RPhp8af2uvi1pfjHwnq3wV03X/Dnx4+D2u3+oyQ6/8OtU8bJ4d1PwvNrWnaxrOjXvxB8D6pqum+JdHm0eyvrO8t9EgjuP6WaKzjSp/WJ16kI1lUy7E5dKhU1oTp4nHZXjpSrU01HEQ5srp0p4WspYatSrT9quanScdPa1FQdGnJ0n9cweMVaDtWhUwVPMoUvYztzUKilmLq08TSlDEYerh6M6Mk3UT/P/AOG37AnhH4RftMfCL46eAvGEuleDPg1+yHp/7JXhr4WXHhxbu7uNJ0vxW/iW18Z3/jtdethLqMyN9m1LTT4RZr++e41Z9Xje4azX52+Jn/BK/wAfav4x+PVr8C/21fiF+z/+z3+1Z4jv/Fn7RPwF0/4YeDvH48Ta74s86z+Jd38P/iJ4k1W21j4XDx5okv2K8TS9H1c290c3j6x4dtNF8L6P+xNFaVP30oyrfvrRx9Ocavvwr0szzGeb46hiqb5aeKw+IzKf1x0K8JUqdWFH2EaEKFKnDOn+6i40v3Stl/I6fuToTyrB1MBl1bDVFeeHxOEwlatSpYmjKNd+2qzqTqVakqh+TX7Qv/BMLV/iB4c+Fvgn9n/9pfXfgT8N/h18LtE+EeofBj4h/Cvwn+1X8BPFvh3wndWd94V8RXnwT+L2rJ8P7P4l6de2vn3/AMQ5NI1LX9RMdnJBJpt3DeXeo8jqv/BI8+HvgX+yB8NfgJ+0t4j+DvxN/ZB8Z+LPHnhb4y3/AMMvDnxEGveIPiHHd3PjqSb4dalr2h+HtNs9Q1e4ik0HTp77W7LRNChfRL+DxBc3EmtD9k6KpTmp1KnPN1auYUM0qVnJutLG4bF4nHUJurpUVKni8Xiq0cMn9WXt50lThhVTwdBcsVGlDkh7OjhKuBp0uSLorDV8LHBVYypO9Oc54WMaMq0l7ZxipynUrueJqfgX4t/4IneO9e8N/Hn4baL+3V4p8OfB/wCNfxTPx0l8Bf8ADPvw61LUIvi5J4l0HX317xz4/Gv6f4x+IHhu0jsdYh0bwbbah4NsNO1K70HWZ7vUJdC1O08T/ddn+xL468Oftz3n7ZHgX9ou88K6H468C+DvBXxw+Cr/AAt0LXdP+J6+CNC1DR9DvLDxxqfiM6l4Dt7ed9G1VLbR9DvtR+0abfWsuuTafrU1ra/oTRSoydD6sqSjBYS6w6UYuMYPJ48P+ykmmqtBZNTw+XRoVeejDDYPBRhTjLB0KgqkVVVZVOabxEZRrScpc8nLMqecyqKaalCvLNacswliIONeWLxGMrOo3jMRGXjfxD/5DVr/ANguD/0rva4Ou8+If/Iatf8AsFwf+ld7XB0ij/H3r+wT/g1D/wCb9v8Au1v/AN+Lr+b6T/gnh+3/ABO8Uv7DP7YkckbtHJHJ+zL8akeN0JV0dG8EhldWBVlYAqQQQCK/qi/4Nm/2efj98Bv+G1/+F5fA34w/Bj/hK/8Ahm//AIRf/hbHwz8afDr/AIST+wv+F9f23/YH/CX6Jo/9sf2P/bGkf2r/AGd9p/s/+1dO+1+T9utvN/YOKcThqmRY6FPE4epN/V7Qp4jDzm7Yqi3aMK85OyTbtF2Sbdkm1+V8N4fEQznBynh68Ir6xeU6FeEVfDVkrynRhFXbSV5K7aSu3Y/qjooor8fP1Q1NH/4+5v8AsF65/wCmXUKy61NH/wCPub/sF65/6ZdQrLoAKKKKACtTT/8Aj01z/sFw/wDp60esutTT/wDj01z/ALBcP/p60egDLooooAKKKKANSb/kC6f/ANhTWP8A0k0OsutSb/kC6f8A9hTWP/STQ6y6ACiiigArU1D/AI9ND/7Bc3/p61isutTUP+PTQ/8AsFzf+nrWKAOE8IeJP+Eq0q71P7F9g+y+KPG/hvyPtH2rzP8AhDfGmv8AhD7b5vkW+3+0f7D/ALQ+z+W32P7V9k8+68j7TN09cx4Q8Sf8JVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp6ww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv9o9HNqP1fM8fQ+p/wBn+xxMofUfrH1r6palhJew+s3ft+X2nP7S7v8AWOW/7rQooorc841Nc/5DWsf9hTUP/SuasutTXP8AkNax/wBhTUP/AErmrLoAKKKKANTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhrLoAK1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPG/iH/AMhq1/7BcH/pXe1wdd58Q/8AkNWv/YLg/wDSu9rg6AP4N7r/AIOlf+CgV5dXN3L8H/2OVkuria4kWP4f/GsIHnkaVwgb9oRmCBmIUMzEDGWJ5P8AWp/wTH/aj+IH7aP7D3wR/aX+KWj+DtB8d/Er/hZP9u6T4A0/WtL8JWn/AAh3xd8feANM/smw8ReIfFWsQefo/hXT7m/+2a9f+bqc17Nb/ZbWSCzt/wDLbr/SS/4IF/8AKJf9k/8A7rr/AOtK/GSv0Xi7KstwOW0a2DwVDDVZY2nTlOlGak4OjXk4vmqzVnKMXsndLXo/guFszzDG5hWpYvF1sRTjhKlSMKji4qarUYqS5acHdKUlvs3p2/Yaiiivzo+9NTR/+Pub/sF65/6ZdQrLrU0f/j7m/wCwXrn/AKZdQrLoAKKKKACtTT/+PTXP+wXD/wCnrR6y61NP/wCPTXP+wXD/AOnrR6AMuiiigAooooA1Jv8AkC6f/wBhTWP/AEk0OsutSb/kC6f/ANhTWP8A0k0OsugAooooAK1NQ/49ND/7Bc3/AKetYrLrU1D/AI9ND/7Bc3/p61igDhPCHiT/AISrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1zHhDxJ/wlWlXep/YvsH2XxR438N+R9o+1eZ/whvjTX/CH23zfIt9v9o/2H/aH2fy2+x/avsnn3XkfaZunrDDS58PRn7X2/NTT9tyez9p71Rc/s9OS/Lblt9i/wBo9HNqP1fM8fQ+p/2f7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/1jlv8AutCiiitzzjU1z/kNax/2FNQ/9K5qy61Nc/5DWsf9hTUP/SuasugAooooA1ND/wCQ1o//AGFNP/8ASuGsutTQ/wDkNaP/ANhTT/8A0rhrLoAK1ND/AOQ1o/8A2FNP/wDSuGsutTQ/+Q1o/wD2FNP/APSuGgD6MooooAKK/AD9nzWf2GrP456tL8TtW8Nw/wDBXO1/ag/aY0/U7XQbHxLrn7YF14fn8Q/FWf4T6P4103wxpmsfEpf2Jn/Z1ufhtqngxvHVtbfsoWMUfw21a3vLPx1D4XuR8heOf27dZ/as+Cvw0t7z9stvCfhr4XfD3/gjh8U/2j/iZ4Ej/Z60zTvhx+0J4y/bKuvDXx3074m6v40+HHirwt8P/FngbUfD/hHXPHPw48S6NoOn/DrxFoXhez1nw7p+mar4l8O628EnjXllODi6mPnlTnKnJVMNTw2ZzyxSxOHrXhLFwy55nTwWYRjShyZ1CGVUqjxONwuGp1Wg6McbUkpxhhFj4qnUg6eKqV8FDFSp0JULyVOeYxwyxmXJSnKtldb+0HTq0cPWxFT+ryivwS+BH7UHxy+Mfx7+JPwwP7W3iLX/ABRr3h79vTQvjV8B/C3gf4GWevf8E/z8J/ilD4G/ZV8daHPB8K7vxx4V8QfE/wACOfF2ir+1Hqfxa8MfHW7vP+Fi/CPw9pfw48O6toE3g/7AP7IPhPQviP8A8Eb9SuPG+ua/o/gz/gnd8av2jrDwbq3wl/ZLs/DV18aPiDrn7Os3iX4kSS+Gf2bvD3ifRviFqNt8Z7jTNS+JvhHxJ4b+J/iKx8EeHG8WeNPEF94u+Nt78W3g4PFvDzuqWHxFHDVo1Gpzny1cHnuYVeSMF7KtCnhcljSp16NWrhq+OxVfDRrL+w88WFnENUKeJd+evh6mLpukvdjJ4f8As+lSvN60pVsXj3GVKtTp1qOEo0MbOm6eb5Q8R/TLRRRUgFFFFABRRRQB4F+1D+0Z4F/ZN+BPxB+P/wAR4dXvPCvw/wBNs7q50vw/bwXeu61qOr6tYaBoWi6TBdXFpbG81XWtUsLJZrq5gtbSOaS8upo7a3lcfnXr37aX7Unjz4B/tX6H8Yf2L/jJ+xv4t0v9jn4qfGP4V/E3SPiHB8TPCMzWvgnxELa0uPid4I8PeGLf4YfFXSL0WGtaJ4P1GdPF8dra3uqXUGgTWWmpqv3F+27+y5p37Zf7MnxM/Z5v/ETeD5/Gtpo1zonitdNTWB4f8R+GPEGl+J9Cv59Me4tPttk2o6RDZ6lbx3VtcSabdXYtbiG58qVfj3Sf2fP+CnvxV+HPxu8E/tQfHT9mOy0XxR+zJ8QPgt4E+G3wJ8L+Jl8KeL/iB4z8Jax4dsfid8W/Hnj7wZL458OvozXcKz6F8NbJdC1QXR1BdF07+xm0jxHw4mFatg88pWnKtLCVIYCDbpUXRllVSTrYevRnHESzVZ1GnQhh3ak8HKlK0aNTG4rDduGnRpYzIqrcFRhmOHqY+dlUqxdLPcicIVaNWEsP/Zryf+1K2Iqtc/tadWPvVIYTC435i/Y9/wCCmXxm8FfCv9gPwx8ff2bPivc/C/8AaGHgb4M6F+1z44+MHhnxL4q8cfFnXI73T7XUr/4ZGTX/AB7P4b1fXbZRa+MfFviXSNQ1Xw8ZfE1no93Gltp952fxS/4LmfDj4dfGLx94XsvhFo/iD4JfCT4lyfCv4l/FS9/aQ+DXhP4pWuvaVrNtoHijVvh9+yzrV4fix8T/AAnoeo31uI/EGgNb2+o2tpr10IrSPQL4D0LxB/wTt+Neq/s4/wDBMX4QW/ij4Wp4l/Yt+N3wU+JXxSvptb8WLoev6F8N1vF1y08AXMfgiS/1TVro3Cf2VB4i0zwrZz4f7Zf2OBu+dNZ/4JAfG/Q/i78U9K+GY/YRv/gJ8XvjZcfFq7+Kfxu/Zz8OfGP9rL4X6V4k1K31bxf4A8Ax/ET4e+NPhlrugmSGfTtIfxjeXDxw6hd6tax6JqTyi49qvONXNYu9GWH/ALWzamqklKnh8VhY1+D54GpjnQjD6rhJYLF8UwpV8JRoylVy2FP2FTGUsJ/avk0IOll9NNVlVlleW1atOMlOvhMR7XieljaOD9r7WWIxbdDh6pUp4mdfkhjZVoTjh6mJpZf7t8cP+CtfxG+HvxZ/ak+G/wAJf2LtZ+POh/sq+E/BnxI8cfEfSfjn4Z8F+GR8MvEnga38aaj4ou4ta8EX11DqVil/ZwaB4V8OHxjqvivTbfX9bibSYdEa0vO8+B3/AAVSuPi3+0F8D/hd4o/Zd+IHwb+Fv7Ufw68U/EP9m74veNvHfgnVNY8f2Xgzw7B4l1weI/hp4RbXT8P9NOnwa3Jpuo6n431G+voIPD162h29n4jebR8/Wv8Agnt8Wbn4g/8ABULxHo+vfC6x8Pfto/A7wX8Lfg5pw1HxFZ3HhbUfC/wp1LwFI/jyxsfBA03QdEGoXVvJY/8ACJSeJ5E0uNyNNtZUjsmPD/8AwT0+KmnfEv8A4Jb+KdR1z4XzeGf2K/gD43+E/wAY9OtdV8T/AG7xPrXiz4PWPw+N18PrdvBkFpq+kSa1Dd3d9deJbvwlfnT5hcpYT3rvZrxUOZUaOiqVZ4ehpjWqTjXxeT+IdWq8XLCqNOH1HMcq4CoP2EeSnWznGSksXRxVOGW71+bkxDi1CcI4rlWFiqinLDQ4Bq0fq8cROXMsZVx/GtBRq1Fz0supQjPDVMP9ZxXEP/wWJ186NqH7QVt+xh8S7j/gn7pfxCbwHd/ten4ieFLfWGto9ag8HzeN7P8AZ9n0lfGt74LTxvcJo41eDXmxYrM80UHiy1u/BNv86/E/9sr9snV/2pv+ClXgLSvB/iSD4O/Dz9kXxbqXgzxT4b+NnhLRrb4IaDD8HfHnjP4efHXw7p2g2Nhr3izxF8YNdg0aexi0/UH8Y/DiLULJb3VhpujR20fbRf8ABL79tyy+DOqf8E/NO+O/7PsX/BPrU/H1xrA8YyeGvG8f7Wth8Or3xhF8S7v4f21ha2UPwnmkk8YLPYSeILu/kvp7O7udZC2+nG38AWvsPxf/AOCfX7TS/tB/tJeK/wBnzxN+z9ZfA39qD9kqD9nTxh4c+Jl18RLTx34RvvDHwm8S/D/wPN4Lk8L+HdV0QaVBqT+GbnWNV1u8v7kaNdeILe28NXGoWOlXV3y4qnz0Jex9vVU8DnWGwft/3OLqTxXBuF5K2cUaE4UcHiKfEqxuDy+phZtU6dRyhal9UzGt3YepCnjVz+yhThmeU4iu6d6uGp4TB8d4apTWXVa8HVxTq8KxjjMzoYmny1KlCNKpDmqY3LV47+x7/wAFMvjN4K+Ff7Afhj4+/s2fFe5+F/7Qw8DfBnQv2ufHHxg8M+JfFXjj4s65He6fa6lf/DIya/49n8N6vrtsotfGPi3xLpGoar4eMviaz0e7jS20+87P4pf8FzPhx8OvjF4+8L2Xwi0fxB8EvhJ8S5PhX8S/ipe/tIfBrwn8UrXXtK1m20DxRq3w+/ZZ1q8PxY+J/hPQ9RvrcR+INAa3t9RtbTXroRWkegXwHoXiD/gnb8a9V/Zx/wCCYvwgt/FHwtTxL+xb8bvgp8SvilfTa34sXQ9f0L4breLrlp4AuY/BEl/qmrXRuE/sqDxFpnhWznw/2y/scDd86az/AMEgPjfofxd+KelfDMfsI3/wE+L3xsuPi1d/FP43fs5+HPjH+1l8L9K8Salb6t4v8AeAY/iJ8PfGnwy13QTJDPp2kP4xvLh44dQu9WtY9E1J5RcevXnGrmsXejLD/wBrZtTVSSlTw+Kwsa/B88DUxzoRh9VwksFi+KYUq+Eo0ZSq5bCn7CpjKWE/tXyqEHSy+mmqyqyyvLatWnGSnXwmI9rxPSxtHB+19rLEYtuhw9UqU8TOvyQxsq0Jxw9TE0sv+2n/AOChfxR8UftqeO/2Q/gr+yfP8WdP+G0vwa13xp8Zovjf4b8I+F9A+GPxS8N6H4h1Lx3daJrHg+e91C98PJ4gso9D8G+GtR8Q6v42tLXVtQt7jRF0/wCzT+QQf8FePEWiftHfCX4P/Fn9kHxX8GfAHxy+Jlt8OPht4t8d/GDwRp3xzuo9c17VvCPg/wAaeLP2RrnSbT4teB/BXiPxRpMtkniPX7iHR49NkTU9Mv8AW5prLTb36d+En7Ifj74eftd/tsfHM+I/CWjeA/2jPAPwP8HfDODwpPqI8Y+Dbj4Y/DqTwbqF/q+iyeHNJ8N6WltfNDeeG4dC1rVIntoIxc2+lFVtl/Jn4Tf8EaP2rfAmu/s8XGuXv7C15H+zz+1F4T+Ms3xH0Pwt8To/2gPjr4Xi8Y6t4j8T3fxZ+KWvaBrF1Fruk26aQvg3wBpFnc+ErnUL+4vNZ8VWt14W0+98Rc2C9m8Xk0MRz/VXh8PWzOpiXGFSU8bnWb4SvQqvDqNKhXyvKaOS421NOM54vFVqKxbjOhgtcV7RYPMp0uT64qap4KGHu6ca2G4YyvG+1pwrupOtSzDiKrmuAnepalDCUqEnQhVpYqt9XeJ/+Ct/xvi1f9qt/hn/AME/PFnxT8Afsc/FP4heB/jJ8RtO+PnhHw5pmn+FvAt1cxnxbo+h614HHiDxDrc+naTrut674K8P2WrDwrpVvo91feJrqLWw9j698GP2pfCPx1/4KEeBH8Baz8a7jwb8Sv8Agnjofxx8O6XqfxUW0+DsWma98U9OsoJdQ+ASeELiOz+Ltl9obTdQ+IMPxKu4YdLhuvDcPh+5iZNYP5l/Af4Uftx/GXxf/wAFYvhp+zB8TvgL4V+G/wAUP2zvjr8OPirZfGPQfG0vifwhYeIZ9S07WvGnwj1vwaL2zu/EmueHNVk0fUNE8Y6WNLtG0DRb7RtUsL2+1C4h/Uz9nn/gn54i/Z3/AGs/hf8AFLw54m8N6r8Gfhf+wT4c/ZMsYb+91mP4kav4x0Lx/p/iq58VXmjDRJvDlroOq2trdXMpg8VyXlpqd0LC20f+z4kuljKnzYfJ8Ti7WxGRYHGKtUvDEVcXmfA+Pr46VWlC+HjgKmaTyuOWVI01Vni6+KoWp0YSrYfXMko1c4w+G3pYzGYWNKHv0Y0cHxHwq8GoVanLXeYRw0s9WOpOaoxwOHw1dSlOVOGL+xLnXtV8Xav4ifxB4K8T/C5vDviLV/CujxeOrvwbqD+PdC0i5Y6f8SvCZ+Gfi34ix2fgnxSbmZdCsPHMngz4jW50+8/4SbwB4dV7Br5v9n2n/Qc0v/vzrX/ynrqPiH/yGrX/ALBcH/pXe1wdAj/Hnr/Sh/4IC2dvL/wSS/ZNkk1Wwtnb/he+YZo9UaVMftL/ABlUbjb6bcQncAHXZM/ysA219yr/AJr1f6SX/BAv/lEv+yf/AN11/wDWlfjJX6rxz/yKcP8A9jCl/wCo+JPzTg3/AJGdf/sBqf8Ap/Dn7Nf2faf9BzS/+/Otf/Kej+z7T/oOaX/351r/AOU9ZdFflR+lnTaVY2q3MpXWNNkJ03WF2pFq4ID6RfI0h8zSo12RKxlkAYuURhEkkhSNs3+z7T/oOaX/AN+da/8AlPRo/wDx9zf9gvXP/TLqFZdAGp/Z9p/0HNL/AO/Otf8Ayno/s+0/6Dml/wDfnWv/AJT1l0UAan9n2n/Qc0v/AL861/8AKetKxsbVbbWANY01w+mxKzLFq4EQGr6U/mSb9KVihZViAiWR98iEoIxJJHzNamn/APHprn/YLh/9PWj0AH9n2n/Qc0v/AL861/8AKej+z7T/AKDml/8AfnWv/lPWXRQBqf2faf8AQc0v/vzrX/yno/s+0/6Dml/9+da/+U9ZdFAHTS2NqdIsU/tjTQq6lqrCUxavsctbaOGjUDSjIHjCKzl41QiWPy3kYSrHm/2faf8AQc0v/vzrX/ynom/5Aun/APYU1j/0k0OsugDU/s+0/wCg5pf/AH51r/5T0f2faf8AQc0v/vzrX/ynrLooA1P7PtP+g5pf/fnWv/lPWlfWNq1to4OsaagTTZVVmi1ciUHV9VfzI9mlMwQMzRESrG++NyEMZjkk5mtTUP8Aj00P/sFzf+nrWKAOV8Hata+LdIvNUa803TDa+KvHXhn7M8mr3ZkHgvxv4h8HLqAlj0OJUTVl0EarHbFS9kl6tnLJNJA8z9V/Z9p/0HNL/wC/Otf/ACnrhPCHiT/hKtKu9T+xfYPsvijxv4b8j7R9q8z/AIQ3xpr/AIQ+2+b5Fvt/tH+w/wC0Ps/lt9j+1fZPPuvI+0zdPWGGlz4ejP2vt+amn7bk9n7T3qi5/Z6cl+W3Lb7F/tHo5tR+r5nj6H1P+z/Y4mUPqP1j619UtSwkvYfWbv2/L7Tn9pd3+sct/wB1pqf2faf9BzS/+/Otf/Kej+z7T/oOaX/351r/AOU9ZdFbnnHTaxY2r6vqrtrGmxM2pXzNFJFq5eMtcykxuYtKkjLoTtYxySISDsdlwxzf7PtP+g5pf/fnWv8A5T0a5/yGtY/7Cmof+lc1ZdAGp/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T1l0UAdNo9japq+lOusabKy6lYssUcWrh5CtzERGhl0qOMO5G1TJJGgJG91XLDN/s+0/wCg5pf/AH51r/5T0aH/AMhrR/8AsKaf/wClcNZdAGp/Z9p/0HNL/wC/Otf/ACnrS0extU1fSnXWNNlZdSsWWKOLVw8hW5iIjQy6VHGHcjapkkjQEje6rlhzNamh/wDIa0f/ALCmn/8ApXDQB9GUUUUAclc+Kfs9zcW/2Df5E8sO/wC1bd3lSMm7b9nbbu25xuOM4yetQf8ACX/9Q7/yb/8AuavLdSvPHH/Cc39p/wAI74U/4Qv7bdf8T/8A4TPV/wDhKP8Aj1kl/wCRQ/4QP+yf+Qt/oX/I7/8AIO/4mf8Ax8/8SiqX2zxx/wAJR9k/4R3wp/whf/Qf/wCEz1f/AISj/kHeb/yKH/CB/wBk/wDIW/0L/kd/+Qd/xM/+Pn/iUVh7eP8Az7xP8b2H+7Vfi/5+b/7v/wBRH8LyPR/s2r/0F5T/ALh/aP8AyNsF/D/6Bfh/5Gn/AFKv98/vH0bbTfaLa3uNuzz4Iptmd23zY1fbuwu7buxnaM4zgdKmr8uv2y/jB8Y/h/4jsdR+HXxj1P4WaV8F/gz4d+Nc/gi38NfCvXdD/aS1XVvix4b8BTfC3xdd+OPDHiLxvpfh6z0/ydFhl+EOrfD3xgfF/wAUfB90PFmpR2MPhTV/R/2wtV+LqfEH4I+Hfgl+054r+GvxJ1vVFufCX7Pfgf4bfB/xrb/Ga00fxd4PuviD4x+PGsfEfwZ408V+EP2cvhx4NeXTfFvib4Za18E9fste8baL4Z0j4leJPir47+Dfw81bbDv6y6PImlVzKOWybtJ0XOOJnHFzjBynPDezwWNq1fZKVbD0cJiK+IjTo0qk6XnVP3U8RTacpYfLKmZtRV1UjTpQqSw8ZNxjCu3XwdKM68qWHlVxuHpqo5S5Kv39RX4BeJv2mf2qLOzOmaL+0L8TPFXiX9pTQtC8deFPAvgLwF+y5/wt/wCAWrx/tHXXgDUPgZ+zze+LPh4fg9P4g8SeC4Nf8KaVrn7Z+p+M/DWm+O/hr4t1jW/ib4f0u4utN8NcLe/t3ftM6Gngr4oW3xl8U+MvCvww+HOgeDfiTpsXw9+EVj8FfEXxvuYfi54Xl8F/tAST/DLQfj3b/tC+NfHeg+D/AA/4JH7L1/oX7NujeMdB8V2PxEn8LaJrfgq38S80MXSnhvrVpxpqg6801GU4Rhgp4uvFqM3Fzo1Pq2DbjNU6lbF0alOpCi6VLMrcJLFfU1yyrvEvC01zRhCpVljKWDoNVJtRjDEOWIrqU1+5o4SrKvFpyr4H+jeivzh/4J5+MP2n9R074s+Cv2rPHK/ELxxol98P/H/hbX7XW/hx4z0y3+HvxV8LTahoOj23jn4W/s+/sv8Ahe/uLa/8PazqEvhRPhd4lvPBdhqulWkvx5+NUOowazo/6PV6FajOhKMKluaVOE5RV7wk5YilVozvGLVXD4nB43C1o2SjXwlaK0WnJhsTSxdL21HmdJzkqcpRcHUpuGGrUa0YtuSp4jDY3BYmkpPn9liaamlNSuUUUVidAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeN/EP/AJDVr/2C4P8A0rva4Ou8+If/ACGrX/sFwf8ApXe1wdAH+VZJ/wAE7f8AgoFE7xS/sL/tjRyRu0ckcn7MnxrR43QlXR0bwQGV1YFWVgCpBBAIr+/7/giV8O/iB8KP+CYn7MvgD4peBvGPw18d6D/wuf8At3wV4/8ADOteDvFui/2p+0H8V9a0z+1vDniKx07WNO/tHR9R0/VrD7ZZw/bNMv7O/t/MtbqCV/wG/Zg/4ORP24vj7+1T+zx8H/GPwr/ZS03w18av2gfhL8NvFN94a8D/ABes9dsNC+I/xG8P+F9cu/D9zqnxz1nT7XVrXT9ZuptKn1HTNVs4LyOCS7sL6FZLeX+06vuOLMfmk6OGwOZYLB4Zzn9bpywuKqYlyVLnoOMuanCMdat+stE1pc+P4awGXU6uIxmAxeKxHLD6rUjiMPToJOpyVlKPLOcpaU7dFq762Ciiivhz7A1NH/4+5v8AsF65/wCmXUKy61NH/wCPub/sF65/6ZdQrLoAKKKKACtTT/8Aj01z/sFw/wDp60esutTT/wDj01z/ALBcP/p60egDLooooAKKKKANSb/kC6f/ANhTWP8A0k0OsutSb/kC6f8A9hTWP/STQ6y6ACiiigArU1D/AI9ND/7Bc3/p61isutTUP+PTQ/8AsFzf+nrWKAOE8IeJP+Eq0q71P7F9g+y+KPG/hvyPtH2rzP8AhDfGmv8AhD7b5vkW+3+0f7D/ALQ+z+W32P7V9k8+68j7TN09cx4Q8Sf8JVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp6ww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv9o9HNqP1fM8fQ+p/wBn+xxMofUfrH1r6palhJew+s3ft+X2nP7S7v8AWOW/7rQooorc841Nc/5DWsf9hTUP/SuasutTXP8AkNax/wBhTUP/AErmrLoAKKKKANTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhrLoAK1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhoA+jKKKKAOGu/DN/cXd1Ok1oEmuJpkDSTBgskjOoYC3YBgGGQCRnOCRzVf/AIRPUf8AntZf9/J//kavQaKAPK/FvwQ+DvxH1n4ZeKvib8Jvhj8RPGPwb1dfEvwp8V+NvAfhbxb4h+GPitorOOfxL8Otc8QaTfap4L12b7BZh9Z8OXGl6lItpah5/wDR4gnnXj39ir9jf4qeIPDHiz4n/sl/szfEfxT4J1TV9c8GeJfHvwG+FnjDxB4R1vxB4svPHuvax4Y1nxD4V1HUdB1TW/HWo6h401fUNKubS71LxZf3niO8mm1i6nvH+maKIpQdOUEoSpV/rVKUEoOliuaE/rVJx5XTxXPTpz+s03TxPPTpz+sc9OEoEveVSMvejVorDVYy96NXDRVVRw9WMuZVcOlXrpYeqqlBKvXSoJVqyq/O2qfsgfsl65pHxf8AD+tfsu/s7axoH7Qmu6b4o+Pmh6p8E/hrqGkfHDxNo+orrGkeIvi/pt34ZmsviXrulasiappur+NINa1Cx1FFvrW4iuVEos6d+yd+yxo/jT4YfEjSP2af2f8AS/iJ8EvBNp8NPgx49074N/Dqx8afCL4cWGm6ro1j8P8A4YeKbbw5FrngHwTZaPruuaVaeFfCl9pOhW2m6zqtjDYJa6jdxTfQFFEP3ajGn7kYKnGCh7ihGlha+BpRgocihGlgcVisDSjFRjTwWJxOCpqng8TiMJiHJuSmpNyVR13UUm5KbxVTD1sU5qTkpvFVsHg62Kc1N4mrhMJVxLxFXC4WrhvLvhN8Dvgr8BNA1Pwp8C/hB8Lvgt4X1vxFqXi/WfDfwm+H/hP4c6Bq/izWUto9Y8Uano/g/SdG06/8RarHZWcepa3dW0upXyWlsl1cyrBEE9Roop3bUU22oQp04Jt2jTpU6dGlTir2jTpUaVKjSpxUadKlSpUqUKdKlTpU11lL7U51Ks31nVq1J1atWb3nUq1alSrVqTc6lWrUqVatSpUqVKkyiiikAUUUUAFFFFABRRRQAUV+Q/ij/gp38Ubz4n/FnSvgF+wn8Yf2jvgV+z/8T7b4QfGj4y+A/GOgReKtN8cWWsW2m+M9O+GfwMTRNW8Y/FlPCkN/YXcsuiappvnJJPd6qvh/w/Ha+IL3r/jd/wAFDvifonxy8bfs/wD7Jn7HPjT9rfxr8HfBmheNPjpdL8TPDfwR0H4cw+L9Ntda8H+HbK+8ZaBrM3i/xhq+jS3Go3HhnT7Wx1OBYRaaVDrt/Z+I7Xw5mqtN0KGI5rUcRSq4inKSlFxwlHBQzKeOrQlGNTD5esvqUsdHH14Qwk8LWoVYVZe3o0qtunONWtQkkqmHnClVvKPIsRPFUsDHCxq83sp4z67Wp4SWEhP6xGvJ05QShUqUv1Jor8K7n9ty1/aR/aw/4JM/Eb4L+PPiF4X+Dnxo079rt/iH8O7rXtU8O2d5rPgD4cNFJoHxN8KaZqjaDreo+CPEdleT6ZLqKapZ28gh1vRbjyLy3upNt/8AgsTr50bUP2grb9jD4l3H/BP3S/iE3gO7/a9PxE8KW+sNbR61B4Pm8b2f7Ps+kr41vfBaeN7hNHGrwa82LFZnmig8WWt34Jt91TlenCfLTqzxGNoThUlCNKh9VzjC5JQq18W5rB0qWZY3G4aGXzniIxxDrQjCcvfrUs29XyxnOP1bB148tOp7epUxWGzbF1MHTwbh9cqYvA0Mmx08ZQhQdWiqNVSpxnSlSn+3NFflbff8FFfiRrX7ZPxE/ZR+EP7Kr/FHQ/hTH8IPFHj743D44+G/CHhPwz8KPiV4X0XxPrPxBvtG1jwdcXt/deGYNdtf7F8HeGdQ8Q6v41srPV9Rt7jRF0/7NP8AOvwv/wCC5/w1+I3xh8B+HLn4S6H4a+BXxU+JcPwr8AfFmT9pP4L678VG17VNSu9C8Oax48/ZX0e+l+Kvw58HaxrdjPDJ4p1y4l07TtLu9D1iZpYdcsoSqEZYiphKVKMnVxsZSw1KadKpOKxVfAQc6dVQnR+sY/C4rAYVVoU3isbhcThqCdWhVcVVnGjTrVpyj7HDxozq1YNVaSjWwFHNE41KblCp7PLMRh8xxCpyk8Ngq1LEV+WFSnGf7uUV+Q/ij/gp38Ubz4n/ABZ0r4BfsJ/GH9o74Ffs/wDxPtvhB8aPjL4D8Y6BF4q03xxZaxbab4z074Z/AxNE1bxj8WU8KQ39hdyy6Jqmm+ckk93qq+H/AA/Ha+IL3ifgZ+1N+1x41/4KyftG/BTXvhXrd18B/Cfg/wAFafbRXXxR8Hadpfwd8JXOh634i8LfFOTwZFpFnrXjLW/jRqy6faXWgSyS+Lvh3b6lFYa1e/2ZoxsY4w3+1VMFCl8OOw2OxdCpUapR9hgsrjm8ak4VOSrGGNwdSjWwNWVNUcRQqwxKqxoSpqrVdfVoYyVT4sDVwtGtTh+8l7XE5hTy6dKEoc0J1sJiKijiqEZOvTqONBU5152h+pXxD/5DVr/2C4P/AErva4Ota58W6V8RdX8RSeH7TxPp6+DPEWr+ANYHjrwV4y+Fz3mu+Hblm1C/8JxfEzQfCMnj3wTcC+h/sL4leBk8RfDnxSUvF8M+KtXbT78Wzf7Hu/8Antpf/g80X/5YUwP8pb/gnh/yf/8AsNf9nh/szf8Aq6vBNf6qtf5Vn/BO1DJ/wUC/YXjUoGk/bG/ZkRTJIkSAt8a/BKgvLKyRxoCfmkkdUQZZ2VQSP9Wf+x7v/ntpf/g80X/5YV95x5/vmXf9glf/ANSonx3Bv+647/sJo/8AqPIy6K1P7Hu/+e2l/wDg80X/AOWFH9j3f/PbS/8AweaL/wDLCvgz7ENH/wCPub/sF65/6ZdQrLrptK0q6juZWaXTSDpusJ8msaRIcyaRfRqSsd8zBAzAySEBIkDSyskaO65v9j3f/PbS/wDweaL/APLCgDLorU/se7/57aX/AODzRf8A5YUf2Pd/89tL/wDB5ov/AMsKAMutTT/+PTXP+wXD/wCnrR6P7Hu/+e2l/wDg80X/AOWFaVjpV0ttrCmXTSZNNiRdusaQ4BGr6VJmRkvmWJNsbASSlELlIgxkkjRgDmaK1P7Hu/8Antpf/g80X/5YUf2Pd/8APbS//B5ov/ywoAy6K1P7Hu/+e2l/+DzRf/lhR/Y93/z20v8A8Hmi/wDywoAJv+QLp/8A2FNY/wDSTQ6y66aXSro6RYx+bpu5dS1VyTrGkBCJLbR1ULKb4Ru4Mbb40dnjBjaRVWWIvm/2Pd/89tL/APB5ov8A8sKAMuitT+x7v/ntpf8A4PNF/wDlhR/Y93/z20v/AMHmi/8AywoAy61NQ/49ND/7Bc3/AKetYo/se7/57aX/AODzRf8A5YVpX2lXTW2jqJdNBj02VG3axpCAk6vqsmY2e+VZU2yKDJEXQOHiLCSORFAPMvCHiT/hKtKu9T+xfYPsvijxv4b8j7R9q8z/AIQ3xpr/AIQ+2+b5Fvt/tH+w/wC0Ps/lt9j+1fZPPuvI+0zdPWT4Ov7rxdpF5qq2+m6eLTxV468MeQ/iHSJjIfBPjfxD4Ma9DyT2jBNSbQTqMcQidIEulgiub2ONLyfqv7Hu/wDntpf/AIPNF/8AlhWGGlz4ejP2vt+amn7bk9n7T3qi5/Z6cl+W3Lb7F/tHo5tR+r5nj6H1P+z/AGOJlD6j9Y+tfVLUsJL2H1m79vy+05/aXd/rHLf91pl0Vqf2Pd/89tL/APB5ov8A8sKP7Hu/+e2l/wDg80X/AOWFbnnBrn/Ia1j/ALCmof8ApXNWXXTaxpV1Jq+qyLLpoWTUr51EmsaRE4DXMrAPFLfJJG4B+aORFdDlXVWBAzf7Hu/+e2l/+DzRf/lhQBl0Vqf2Pd/89tL/APB5ov8A8sKP7Hu/+e2l/wDg80X/AOWFABof/Ia0f/sKaf8A+lcNZddNo+lXUer6VI0umlY9SsXYR6xpErkLcxMQkUV88kjkD5Y40Z3OFRWYgHN/se7/AOe2l/8Ag80X/wCWFAGXWpof/Ia0f/sKaf8A+lcNH9j3f/PbS/8AweaL/wDLCtLR9Kuo9X0qRpdNKx6lYuwj1jSJXIW5iYhIor55JHIHyxxozucKisxAIB71RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH4q2n7FH/AAUI+BHxH+Pvh79jb49fs3+AfgF+0n8bNR+OeveLPiP4E8TeJPjr8GPFHjXUbJ/Htv8ADXw1HpuofCzxrYjTtLsotIh8fXEEd5EzWIj8O3sEniTUOl+I/wCxx+2/8Jv2j/i7+0L+wz8Vv2ery8/aW8EeB9C+OGg/tSaF4st/sXjT4aeH4PDPhv4keBNQ+EegGGbV9V0+bVb3VND1XTNP8Nafq93ezjS9dsb7StP8J/sLRWapRVChh/ecKGEqZepSnJ1auWVMvo5U8sr1bqdTAxy/DYTDQow9hUisHg67xU8XhaGLp3KbnVxFWUYN4rERxlWnyR9i8dHGwzFY9UtY/XHjYSryqzdWLdbFUlQjh8XicPW/FL4S/wDBKfX/AIJeOf8Agn3deHPHHhfxj4R/ZkT9p3VfjtrfiZ9Y0bxd8R/F37Q/hKXSbjU/CWgWGja1pH9n22qTmymtNb8TaXcWXh2ysWW61rUzcmTx+L/gl9+25ZfBnVP+CfmnfHf9n2L/AIJ9an4+uNYHjGTw143j/a1sPh1e+MIviXd/D+2sLWyh+E80knjBZ7CTxBd38l9PZ3dzrIW3042/gC1/oNoraUuaSc4U50nKTqYWdODwdaCzTCZxh6FbC2jSqYfA47A4aWBoL2dOhQhPBzWJwlevQqwnNWkqlVVoKDp4vnbxdKtHD5rhauLp4hqUo4zF0s6zL63iHCbrVcQq6p0a9DD1KX5zfBX9irXPht+1V+2Z8UtXuvCL/Bb9of4afAb4aeBfDGh6trzeL9F0X4W/DM/D/XbXxHBdaDY6Zp0VxEQuh3Gj+IdbuJbVRPeLp9wBDXwB+zl/wSN+OnwY+Ifwy8G6vH+wRqX7PXwl+KN745sPi3H+zP4S8X/tl/EnwxZ61da/4e8BeN/EPxF+G+u+FfDsS3lxBaSeMfCPiAeOvD1pp1k2geIm8u3t7T+hiinSnOliMNilOU6+Fw1LCxnVbqOtChmGYZrh6mKcrSr4ihmOa47GU63tKMnVrNVoYmlGNFRUpwqYethXCMKFacZ8lNcnsVHKctyKVPDu81SpVcqynA4SrDlrNxpOrTnQryddfirafsUf8FCPgR8R/j74e/Y2+PX7N/gH4BftJ/GzUfjnr3iz4j+BPE3iT46/BjxR411Gyfx7b/DXw1HpuofCzxrYjTtLsotIh8fXEEd5EzWIj8O3sEniTUPbfDf7KP7Tfw2/4KI+KP2m/BHjf4PeJ/gf8Z/hl8NvA3xvs/iBH4otPjKuo/DXw3f6TYav4CsfCHh+w8AC61XVLfR9T1O41S+sdOW21TXrCx8NWbWGkXUv6e0VFD/Z/qPJ70svo1MLQnV/ezlg6mVLJI4KtOVnVwlDLIUMNQor2Lj9VwlWrWxNfDU6pdf/AGh41z936/UjXxCp/u4/WlmFHNZYymo3UMXUx9BV51pe1V6uJhTo0qeJrQl438Q/+Q1a/wDYLg/9K72uDrvPiH/yGrX/ALBcH/pXe1wdAH+VV/wTw/5P/wD2Gv8As8P9mb/1dXgmv9VWv8qr/gnh/wAn/wD7DX/Z4f7M3/q6vBNf6qtfecef75l3/YJX/wDUqJ8dwb/uuO/7CaP/AKjyCiiivgz7E1NH/wCPub/sF65/6ZdQrLrU0f8A4+5v+wXrn/pl1CsugAooooAK1NP/AOPTXP8AsFw/+nrR6y61NP8A+PTXP+wXD/6etHoAy6KKKACiiigDUm/5Aun/APYU1j/0k0OsutSb/kC6f/2FNY/9JNDrLoAKKKKACtTUP+PTQ/8AsFzf+nrWKy61NQ/49ND/AOwXN/6etYoA4Twh4k/4SrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1zHhDxJ/wAJVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp6ww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv9o9HNqP1fM8fQ+p/2f7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/1jlv+60KKKK3PONTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasugAooooA1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhrLoAK1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDxv4h/8hq1/wCwXB/6V3tcHXefEP8A5DVr/wBguD/0rva4OgD+Vv4C/wDBzv8A8NEftG/Bf4L/APDEX/CH/wDC8/jZ8Ovhf/wkv/DSn/CQf8Iv/wALN8daP4U/tz+x/wDhQOif23/Yn9t/b/7M/tXSP7S+y/Zf7QsPO+0xf1SV/lR/8E7/APlIB+wx/wBnifsy/wDq6vBNf6rlfVcV5bgstxGDp4Kj7GFXD1Z1F7SrU5pRrqEXerObVou1k0nu1fU+a4azDF5hQxc8XV9rKlXpwg+SnDljKi5tWpxineSvdpvonYKKKK+VPpTU0f8A4+5v+wXrn/pl1CsutTR/+Pub/sF65/6ZdQrLoAKKKKACtTT/APj01z/sFw/+nrR6y61NP/49Nc/7BcP/AKetHoAy6KKKACiiigDUm/5Aun/9hTWP/STQ6y61Jv8AkC6f/wBhTWP/AEk0OsugAooooAK1NQ/49ND/AOwXN/6etYrLrU1D/j00P/sFzf8Ap61igDhPCHiT/hKtKu9T+xfYPsvijxv4b8j7R9q8z/hDfGmv+EPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zdPXMeEPEn/CVaVd6n9i+wfZfFHjfw35H2j7V5n/AAhvjTX/AAh9t83yLfb/AGj/AGH/AGh9n8tvsf2r7J5915H2mbp6ww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv9o9HNqP1fM8fQ+p/2f7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/1jlv+60KKKK3PONTXP+Q1rH/YU1D/ANK5qy61Nc/5DWsf9hTUP/SuasugAooooA1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4ay6ACtTQ/8AkNaP/wBhTT//AErhrLrU0P8A5DWj/wDYU0//ANK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+d/2oP2ofhT+yL8K7z4tfFu71s6R/a2n+GPDfhvwpo8niHxp488aa0ly2geCPBehJNax6n4l1w2d0tjDeX2m6bCkE93qep6fY2891F8z+Bv8AgqT+zX4k+Gvx4+Ivj3RfjN+z1efs2L4cm+LPwx/aA+Gl74F+LOhWXjaC3fwDfW3g2x1DxCdRi8dXVwuneG7a21A6lLdeTPqVjpumX+mahfS/8FKv2cfi78e/hn8HvFHwGsdB8RfFn9mr9oX4dftHeE/APifW28O6N8Sp/h5/aks3gY63LNBpukanrJvYBpepazcWelQzQyW95qOlQ3b6la/Kv7RfwX/4KE/8FD/2U/2i/hz8Zvgx8I/2XRdTeAdY+BPwg/4WWvxP8ceKPEvgbVtP8SeIY/iZ8UvB+qw/D+38IeKfszaV4Qs9I8P6Trmn61ILvxHd6fpujW2pa/zc9VYbM6lpOtRrShTh7Nx+rYGMMjlDMsPpU/tbE1Vis+vlkKU5qpleGoKnSdWVfG9KhR+sZbBu1GtTUq81NOVbFvGZjSeX1U+X+z8OsPRyyp/aU6kYQWOrYiTqwovDUfU/FH/BTLQ/iN8B/wBrGDwD4C/aG/Zi/aL+Ef7NPj742eC/Bv7TXwesfh94z1Lw/pWjapbaV8S/Cfh3WL7xh4f8T+GNI8V29tpd42oiWBtRK28+mXVm0rjiP2Ov2tv2g/ip+1f+zn8NPHvxA/t7wT48/wCCVfws/aR8V6L/AMIp4J0v+1fjT4k8WeGtM1rxn/aWjeG9O1ax+22OoXcH/CO6bf2fhS387zLTQoJo4pE+OPgj/wAE1/ibZeB/2sNe0j/gnj8Lv2RPE3iT9kn4j/Bz4aeF7L9p3xx8dPij8RfiZ478Py2mo3kfirV/jXqvwY8IfD2+W3trCHSfEnhuLxRp+rS29wPGB0iK8ll+x/2Ov2Sf2g/hX+1f+zn8S/Hvw/8A7B8E+A/+CVfws/Zu8V61/wAJX4J1T+yvjT4b8WeGtT1rwZ/ZujeJNR1a++xWOn3c/wDwkWm2F54UuPJ8u012eaSKN/Uw8KMMW+dxcZUHKalUVShzx4b44p0p0XJt03XxVLJMROjLllSzCpl75KVXEYfD4Xzq06s8vdk1WjOuouFN0695Y7gCpOnJR1nGh7TPaFCpFzU8NTzNKriI0cRiK/6P3PjXwb8UdX8RS/DPxb4Y+IsfgLxFq/w18cyeBde0rxcngz4jeFrlm8TeAPFj+H7vUF8O+NvDq6hYNrvhXWDZ67pAvrM6hYW4uYd7f7D1r/oD6p/4L7v/AOM11HxD/wCQ1a/9guD/ANK72uDrkOg/ypf+Cdkby/8ABQP9haKJHkkk/bH/AGY44441LvI7/GvwQqIiKCzOzEKqqCWJAAJNf6t39h61/wBAfVP/AAX3f/xmv8o//gnf/wApAP2GP+zxP2Zf/V1eCa/1XK+445/3vL/+wSv/AOpMT47g3/dcd/2E0f8A1Hkan9h61/0B9U/8F93/APGaP7D1r/oD6p/4L7v/AOM1l0V8OfYnTaVo+rx3MrSaVqUanTdYjDPY3SgvLpF9FEgLRAF5JHSONeruyooLMAc3+w9a/wCgPqn/AIL7v/4zRo//AB9zf9gvXP8A0y6hWXQBqf2HrX/QH1T/AMF93/8AGaP7D1r/AKA+qf8Agvu//jNZdFAGp/Yetf8AQH1T/wAF93/8ZrSsdH1dLbWFfStSVpdNijiVrG6UyONX0qUpGDEC7iOOSQquSEjd8bVYjma1NP8A+PTXP+wXD/6etHoAP7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZrLooA1P7D1r/oD6p/4L7v/wCM0f2HrX/QH1T/AMF93/8AGay6KAOml0fVzpFjENK1IyJqWqyPGLG6Lqklto6xuyeVuVJGilVGIAYxyBSSjYzf7D1r/oD6p/4L7v8A+M0Tf8gXT/8AsKax/wCkmh1l0Aan9h61/wBAfVP/AAX3f/xmj+w9a/6A+qf+C+7/APjNZdFAGp/Yetf9AfVP/Bfd/wDxmtK+0fV3ttHVNK1Jmi02WOVVsbpjG51fVZQkgERKOY5I5ArYJSRHxtZSeZrU1D/j00P/ALBc3/p61igDlfB15q/i7SLzVY/D2pWi2nirx14YMSRXV4HfwT438Q+DJbozLZ24R72TQHvZLXy2Ni9w1i01y1ubiXqv7D1r/oD6p/4L7v8A+M1wnhDxJ/wlWlXep/YvsH2XxR438N+R9o+1eZ/whvjTX/CH23zfIt9v9o/2H/aH2fy2+x/avsnn3XkfaZunrDDS58PRn7X2/NTT9tyez9p71Rc/s9OS/Lblt9i/2j0c2o/V8zx9D6n/AGf7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/wBY5b/utNT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmsuitzzjptY0fV5dX1WWLStSkjk1K+kjkjsbp0kR7mVkdHWIqyMpDKykhgQQSDWb/Yetf9AfVP/Bfd/wDxmjXP+Q1rH/YU1D/0rmrLoA1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZrLooA6bR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAVm/2HrX/QH1T/wX3f8A8Zo0P/kNaP8A9hTT/wD0rhrLoA1P7D1r/oD6p/4L7v8A+M1paPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCuZrU0P/AJDWj/8AYU0//wBK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDxv4h/8hq1/wCwXB/6V3tcHXefEP8A5DVr/wBguD/0rva4OgD/ACo/+Cd//KQD9hj/ALPE/Zl/9XV4Jr/Vcr+e7/gnr+1j/wAEeP26v2jdT8D/ALL3/BPXwd8KfiX8NfDF78edB8YeMP2Tv2XfA3/CPQeDfHXgrSNLvfC3iD4eeI/F+v6T4x0nX/F/h/VNEubO0sEsP7Our231i1vbSyiuf6Ea+n4px9TG4vDxq4LEYGrh8PKMqWJlSlOSrVfawmvYylFRcYtatttXskfO8N4KGEwteVLF0MbTr11KNXDxqxgnSp+ynB+1UW5JyT0Vle2rCiiivmD6I1NH/wCPub/sF65/6ZdQrLrU0f8A4+5v+wXrn/pl1CsugAooooAK1NP/AOPTXP8AsFw/+nrR6y61NP8A+PTXP+wXD/6etHoAy6KKKACiiigDUm/5Aun/APYU1j/0k0OsutSb/kC6f/2FNY/9JNDrLoAKKKKACtTUP+PTQ/8AsFzf+nrWKy61NQ/49ND/AOwXN/6etYoA4Twh4k/4SrSrvU/sX2D7L4o8b+G/I+0favM/4Q3xpr/hD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM3T1zHhDxJ/wAJVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp6ww0ufD0Z+19vzU0/bcns/ae9UXP7PTkvy25bfYv9o9HNqP1fM8fQ+p/2f7HEyh9R+sfWvqlqWEl7D6zd+35fac/tLu/1jlv+60KKKK3PONTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasugAooooA1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhrLoAK1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKrXt7Z6bZ3eo6jd21hp9hbT3t9fXs8VrZ2VnaxPPdXd3dTvHBbW1tBG8088zpFDEjySOqKSPzn8Kf8ABXX/AIJ1+OfG+kfDjwj+0po2veM/EHxA8P8Aww0DR7DwH8WHXXPGPinVLnRdCtNH1J/AaaRqejXup2xtn8XWV/P4QsxdaZPf67a2+r6VNeEP3taOGpfvMROKlChD360oyqeyjKNKN5tSq/u4tRtKacY3cZchP93RniKnuUKfNz1p+7ShyUpVp81SVoLkowlVnd+7Ti5y5Y2b/SGivhT4x/8ABTH9hX4A/FqH4G/Fz9onwn4R+JzSaNDe6A2keMtbsfD0+vzLFpsHjHxV4b8Nax4Q8ETmOSHUL6Hxhr2hy6Rot1Z69qyWOi3trfzVLD9qvxnqf/BRhP2S7Gy8D3vwluf2PIf2iLHxTZ22q3Pi+88TXPxNs/B9tb2+tw+IpPDVx4RuNEuRewww+G21CW8aO5j1trQ/ZWKP+0OgqP7yGI+veyrR96hJ5dga+Y4qHto81NTjhcPWlCN26s4OEG7SnAq/uY4iVX3JYWlhq1alLStGli8bg8vozVF2nKLxWOw0ZOy5Izc5JWUJ/SXxD/5DVr/2C4P/AErva4Ota58a+Dfijq/iKX4Z+LfDHxFj8BeItX+GvjmTwLr2leLk8GfEbwtcs3ibwB4sfw/d6gvh3xt4dXULBtd8K6wbPXdIF9ZnULC3FzDvb/Yetf8AQH1T/wAF93/8ZoA/gX/4Nb/+UgHxg/7M7+IH/q6v2fK/vUr+DL/g1mtbq8/4KB/GGK0tri6kX9jj4gyNHbwyTuEHxr/Z7UuUiVmCBmVSxGAWUE5Iz/fD/Yetf9AfVP8AwX3f/wAZr6jjD/kd1P8AsEwf/puqfOcK/wDInh/2E4r/ANLpmXRWp/Yetf8AQH1T/wAF93/8Zo/sPWv+gPqn/gvu/wD4zXy59GGj/wDH3N/2C9c/9MuoVl102laPq8dzK0mlalGp03WIwz2N0oLy6RfRRIC0QBeSR0jjXq7sqKCzAHN/sPWv+gPqn/gvu/8A4zQBl0Vqf2HrX/QH1T/wX3f/AMZo/sPWv+gPqn/gvu//AIzQBl1qaf8A8emuf9guH/09aPR/Yetf9AfVP/Bfd/8AxmtKx0fV0ttYV9K1JWl02KOJWsbpTI41fSpSkYMQLuI45JCq5ISN3xtViADmaK1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZoAy6K1P7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZoAJv+QLp//YU1j/0k0Osuuml0fVzpFjENK1IyJqWqyPGLG6Lqklto6xuyeVuVJGilVGIAYxyBSSjYzf7D1r/oD6p/4L7v/wCM0AZdFan9h61/0B9U/wDBfd//ABmj+w9a/wCgPqn/AIL7v/4zQBl1qah/x6aH/wBgub/09axR/Yetf9AfVP8AwX3f/wAZrSvtH1d7bR1TStSZotNljlVbG6YxudX1WUJIBESjmOSOQK2CUkR8bWUkA8y8IeJP+Eq0q71P7F9g+y+KPG/hvyPtH2rzP+EN8aa/4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TN09ZPg681fxdpF5qsfh7UrRbTxV468MGJIrq8Dv4J8b+IfBkt0Zls7cI97JoD3slr5bGxe4axaa5a3NxL1X9h61/0B9U/wDBfd//ABmsMNLnw9Gftfb81NP23J7P2nvVFz+z05L8tuW32L/aPRzaj9XzPH0Pqf8AZ/scTKH1H6x9a+qWpYSXsPrN37fl9pz+0u7/AFjlv+60y6K1P7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZrc84Nc/5DWsf9hTUP/Suasuum1jR9Xl1fVZYtK1KSOTUr6SOSOxunSRHuZWR0dYirIykMrKSGBBBINZv9h61/0B9U/wDBfd//ABmgDLorU/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//GaADQ/+Q1o//YU0/wD9K4ay66bR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAVm/2HrX/QH1T/AMF93/8AGaAMutTQ/wDkNaP/ANhTT/8A0rho/sPWv+gPqn/gvu//AIzWlo+j6vFq+lSy6VqUccepWMkkkljdIkaJcxM7u7RBVRVBZmYgKASSAKAPeqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDwz9p74a698ZP2cPjz8JfC99b6b4k+Jfwh+IngXQb27kkis4NW8U+FNV0awN5LEyyRWb3N5HFdSKSY7d5H2SAGNv5cvFHxC8aN4J/4I+/s7eNf2K/jJ+z/wCIf2bv2wf2f/Avi/4k/E/wTaeDvB+teK4vEi2FzYfB3VJLyTUPiHp/xFl0bVfH3jvX7CytND0rV9L0QNc66PEGiau39gFeM/F79nz4QfHi7+GN78V/CP8AwlV18G/iRoHxc+G8v9v+J9D/AOEc+IfhhpG0PxBs8N61o8er/YWmkP8AZOvJqmh3O7F5ptwAuHhH9WzDD4t+/Q/tPh/HYuj8Mm8ixWZ1aFajUjabqwoZri6aws5Rw2IqSpVKtSlKi/rJif3+AxOFXuVnlvEeEwtXeKnn2T08tq068H7rpSnhsLN1481fDwjV9lTrc8YU/wCfrWtA+OP7NWmf8FLP2WNc/YZ+PX7Qniv9tj4rfFbxr8HvjZ8MPAGl+M/hN4h0P412F5oXg6w+MfxBE+kL8OT8MtbmudZuINZe4bRL3UNY1dE8PaNLYeLde+iP2MP2YvjZ8Bf27PgNpfj/AMPeK9a0b4cf8EpfCHwg8RfFGDQtbu/hynxF0v4uaXqNx8P9N8ctp8Wg3mo6FpaNb6VphvI9WuPD2mW+ptYx27My/vHRRg39TVBx/e1KOAwuWOpL3VUwWXcPY7hzLYeyh+6p1cNgsfOrWxFNKpjq9OHto0KNSvRrGL/2r63F/u6eKxOMxrhH3nTxmY5rkea4+tGc/fdKtUyHDUaOFfLRwtOrWnTlWqxoSo+N/EP/AJDVr/2C4P8A0rva4Ou8+If/ACGrX/sFwf8ApXe1wdID+Cv/AINb/wDlIB8YP+zO/iB/6ur9nyv71K/gr/4Nb/8AlIB8YP8Aszv4gf8Aq6v2fK/vUr6jjD/kd1P+wTB/+m6p85wr/wAieH/YTiv/AEumFFFFfLn0ZqaP/wAfc3/YL1z/ANMuoVl1qaP/AMfc3/YL1z/0y6hWXQAUUUUAFamn/wDHprn/AGC4f/T1o9Zdamn/APHprn/YLh/9PWj0AZdFFFABRRRQBqTf8gXT/wDsKax/6SaHWXWpN/yBdP8A+wprH/pJodZdABRRRQAVqah/x6aH/wBgub/09axWXWpqH/Hpof8A2C5v/T1rFAHCeEPEn/CVaVd6n9i+wfZfFHjfw35H2j7V5n/CG+NNf8IfbfN8i32/2j/Yf9ofZ/Lb7H9q+yefdeR9pm6euY8IeJP+Eq0q71P7F9g+y+KPG/hvyPtH2rzP+EN8aa/4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TN09YYaXPh6M/a+35qaftuT2ftPeqLn9npyX5bctvsX+0ejm1H6vmePofU/wCz/Y4mUPqP1j619UtSwkvYfWbv2/L7Tn9pd3+sct/3WhRRRW55xqa5/wAhrWP+wpqH/pXNWXWprn/Ia1j/ALCmof8ApXNWXQAUUUUAamh/8hrR/wDsKaf/AOlcNZdamh/8hrR/+wpp/wD6Vw1l0AFamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeN/EP8A5DVr/wBguD/0rva4Ovpq4uILSCe6up4ba1toZLi5ubiRIYLeCFGkmnnmkZY4oYo1aSSSRlSNFZmYKCa86+GXxo+Dvxr03UdZ+DfxY+Gnxa0fR75NM1fVvhl478LePNN0vUnt0u007Ub7wrquq2tjfPayx3KWlzLFcNbyJMIzG6sRe85Rj70oQ9pOMfelCm5KCqTiryjT52oe0lGNPnahz87UGP3VGUvdjKfs4yekZVOVz9nFuylU5E58kXKfInPk5U5L8xP2cP8Agl/+wx+xJ8VPFXxK/Zh+B3/CsvGur+Hdc+HWo61/wsv4weM/tHg2/wDEeha/d6P/AGd8QviB4s0mLzdW8J6Bd/2hBYRarH9g8iK+S2ur2G5+5q6WXxH+zj+x38J/hp4I8RePvhv8BvhL4H8O+FvhP8NIviZ8SNL8MaTbaN4M8NQaR4Z8KWHiX4ieIUvte1HTvDWhxqGv9X1TXb22sJ7+/uLqYXN03udpeWmoWlrf2F1b31je28F5ZXtpPFc2l3aXMSzW11a3MLPDcW9xC6SwTxO8UsTrJGzKwJ1q162KlKtWrVcROMo0Z1qlSVZxnGHPGjOo3PlmqcueNKcozVOXOqfI1J506NHDRjRpUqdCMoyqwpU4RpKUXLllVhTSjzRc1yyqRjKDmuVz51yr5nor6gorI0PnPR/+Pub/ALBeuf8Apl1CsuvqCigD5for6gooA+X61NP/AOPTXP8AsFw/+nrR69E+Jnxk+EHwV0mw174x/FX4b/CXQ9V1EaRpetfEzxz4Y8B6TqWrG2nvRpdhqPinVNKs7zUTZ2tzdiyt5pLk21vPP5XlQyOt3XfBPgX4h6j8L/GWrWVv4gu/hl4ruPib8MdZtNWv0tNK8Sa38OPHXwwl8Q2v9k38Gn67b33w8+KHjXRoLbVo9V0cxa8usW1our6fo+pWAveUpR96MJ+znKPvRhU5VP2c5RvGNTkan7OTjU5Gp8nI1Nj91xjLSUoe0jF6SlT5nD2kYuzlT504c8VKHOnDn5k4rxqivcbz4g+AdO8aaP8ADbUPG/hCx+IniHSL7xBoHgG88S6LbeNNc0HS3MWp63o/hae9TXNT0jTpFMd9qVlYT2Vo4KXE0bAiuvoWqUlrFucVJaxcqc/Z1EpK8W6dROnUSk3Tqe5NQn7gbNxekkotxekkpx54NxdmlOHvwbSU4e/Bzh758v0V9QUUAfOc3/IF0/8A7Cmsf+kmh1l19QUUAfL9FfUFFAHy/WpqH/Hpof8A2C5v/T1rFd3pvxw+C2s/EjVfg5pHxf8Ahdqvxe0K3kvNb+Fem+P/AAnffEjRrSG3s7yW61XwPa6tL4n063itNR0+6knu9LhiS3vrOdmEV1Azo2k/Cf4JQ/F74p6lfeH/AIeaZ468TW3xT+MHjXxV4ofSvDsmvaN8PPAXwqg8TaxqfibVhoXheys/APw08DaDLFYto2iH+xRqlxbNrWp6tqOoJyiqcarlFUpRc41XKKpShGXJKcarapygppwco1JRU04OSmnBNJubpJN1IyUZU0m6kZOPOoyppOpGTg1NRlTjJwamouLUn4V4Q8Sf8JVpV3qf2L7B9l8UeN/DfkfaPtXmf8Ib401/wh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbp69k+HXxU+GHxg8PN4t+EnxH8B/FLwomoXOkt4m+HXi/wAPeN/Dy6rZRwS3mmNrXhnUdT00ahaRXVtJc2ZuRcwR3MDyxos0ZbvKUKdWlCEK0pTqxjHnnKn7Jzck5xn7Oy5VKFSm42VnHlnFyjUUpbYqthsRia9bB0I4XC1KspUMNGu8SsPBKnTdH28m5VXCpSr80pe8pVJU5KLo8q+X6K+oKKowPnPXP+Q1rH/YU1D/ANK5qy6+oKKAPl+ivqCsPxN4n8N+C/D+s+LfGPiHQ/CfhXw7p11q/iDxN4m1aw0Hw/oWk2UTT3uqazrOqXFrp2madaQq011e3tzBbW8StJLKiAkKUoxTlKUYxirylKSjGK0V3KTjFK7Su5JarXVXaTk1GKcpN2UYpyk3rooxUm3o9Em9Hpo7eH6H/wAhrR/+wpp//pXDWXXcT3HwL/az+DHjPw5pvifwV8a/gj8WfCnjP4ZeLL34f+ObbXfDXiXw34k0rUPCfjTw9beMfAOuCa0uJdO1C/0u7udD1uy1jSppGe2u7K+hilj0PHXx6+Bnwv8AEfhzwd8S/jP8J/h34u8YGBfCXhbx18RfB/hLxH4pa6v10u2HhzQ9f1jT9T1s3OpumnQDTLW6M1+y2ke64YRmmmpwptNVKk4U6dNpqpUqVUpUqdOm0p1J1ItSpwpwnOpFqVOFSLTcppwnUTTp04znUmmnCnCm3GpOc03CEKcotVJznCFNpqcoNNLzetTQ/wDkNaP/ANhTT/8A0rhr6MopDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8o/8Agtr4k8Q+Gf8Agmx+0DP4cvLuwm1g/D3wvq9zZXaWc3/CNeJviP4V0fxDaSSEF5LTVNLu7jSb+2iKPc2N9cQOxgeZG8E+Cfwz+H37Ov8AwV98N/DP9n7wX4d8C/Djx1/wTm0jxH488OeCbPTtE8P3eueHPijJpOgeNtW0vRobWyv/ABFdWdvaWE+uXUMmoai2tXl/cXE099PNJ+x/xg+EngD48fDLxp8H/iloMPibwB8QNDufD/iXRpZ7i1a5srgpJHNa3tnLDeafqNhdw2+oaZqNnNDd6fqNra3trLHPBG4+LPgb/wAEy/hD8BdI+K58P/GH9p7xb8SPit8No/hE/wAeviD8XIvEHxt+HXw7tNP+x6N4a+FHi608MaRYeC7Lw9crDrGhNDoN7NY6paae3mS2GnWFhbzg5SwuJxddw5r1MTiqfJOMZ42NbhHGcN08prSkv3NCjjsVHNo1qkp4dJVbUo432c51ilHE4fC0FLltSlhKnPGUoYWU+Jsizz+1oKLcqteng8rxOXxpUfZ4iUsTFKqsK68ZfJXxv+HHw+/aI/4LIaf8Kfj54T8O/EL4Y+Cf+CeviTxd4N8I+OLTSNe8M2XirxJ8UotA1/xPY6LqtrcWltr0ejFki1Ro21CyfSNP1O0uLd9MtZIfbf8AgiPr/iHXv+CcXwTXXpLu5i0DV/if4V8N3t7dSXkt34U8P/EvxTYaGsc0jMRaaXBG+hWMKkRwWekwQxKsaKB6V8av+CZ/wk+Ofh/4PQeIfjJ+1D4Y+Jfwa8C3Pw0039oXwJ8Xo9B+PXjjwLqenvY694b+J3ja58M6pY+MLLxHM7aprTzaBaXVxqEt6Le4tdP1bWLDUPsn4LfBv4efs+fCzwV8GvhToSeG/AHgDRotE8PaUJ57uZIBLLdXd5fXty8lzf6pqmoXN3qeqX9w7TXuo3lzcyENKQNcGoYXC4vDufNeksHT5ISjTxko8V5/xD/bFRSalRxE8Dm2Gyx0a3tcRGWGqJ1ZYSOFVPPFOWJxGHrKHL+8w2JnzzjKeDjQ4Xw2QVMtpOK/e0q2Mof2pKrTcMPZUr0njPaTj6hRRRUFBRRRQAUUUUAfhf8AG/4cfD79oj/gshp/wp+PnhPw78Qvhj4J/wCCeviTxd4N8I+OLTSNe8M2XirxJ8UotA1/xPY6LqtrcWltr0ejFki1Ro21CyfSNP1O0uLd9MtZIfbP+CJGv+Idf/4Jw/BRNdlu549A1f4oeFfDd9e3Ml5LdeFfD/xK8U6foSxyysxFppUEbaFYwqRFBZ6TBDEqxooH0D+1n+wH8JP2utf8HeNvEPjj41/Bv4l+CdG13wppvxR/Z7+IEfw58eah4F8TQzx694A13U7nRPEVjqvhDUpp2u5tPm0xbqOZrmC3vodP1TWLLUet8Hfsb/Dz4Zr+zdpPwp8cfGP4W+AP2ZtL8R6V4e+E3gX4gT6X8NPiTB4msxBd3Hxp8P3OnX9z8Qr6y1BrvxFpl5canp81t4i1HUNTkadrgxKsAlRwlXDVr0/bUo4Gfs25Qn/xk/EvEUs6nyclR4l4TNcDk/sU3i1OE6sa31LDUIxMd+/xEK9Nc/s5UMXDn92VN4fhfBcPyymk5c3LRxWMpVc1nXbWFiqNJToyxlVzh+R/gb4D+Ivgj/wWy+B0/jr41+P/AI+fEP4kfsvfFvxp4v8AHPjpNM0y0tZ31rxHpum+F/AXhDRYl0vwL4E0Sws0bTPDFpc6ikOpXur34vdl/HaWn9E1fM3iD9lT4eeJP2rPAP7X99rPjOL4l/Dn4Ya98J9E0O01HQ4/A114d8RX2o6he3uq6ZN4dn1+fWoptTnW1ubTxNY2KRJCs2mzurvJ9M06DdPLcuwkrKeDlnEOWKXJChic8xGNwMYSVlJrBThKq3earzrOtUrV6tatUK37zMMdi1rHGQyqcpPSU8RQyiGFxspR2gvrUeWlGKjT9hToqjTo0aVKlAooooAKKKKACsfxFdXVj4f129sU8y9s9H1O6s0DRoXureynmt03yq8SbpkQbpVaNc5dWUEHYoIBBBGQeCD0I9DWGKpTxGFxWHp1XQqV8LiaFOvG/NRqV8NiKNOtHlcZc1GdaFaPLKMualHllF2a0ozjSrUas6casKdajUnSn8NWFOrSqSpStry1Y05U5W15akrH8cnwm8G+FfD/AOxN/wAEzP2tPDXhnR5f2qfH/wDwUw02Lxn8S7aPT4/iT46Hi74p/FjR/EnhfxJ4qt4U13V9H1bTNG0m3uNJvLyWxjF7eXMdvGdWuWn/AKQ/28vgr+zx8X/g3pWrftU+OtX8FfA34JePPDfxw8YQQanoGn+E/Fn/AAhP2tLDwr8Q7XWvDPiO68R+EtZn1NrGbwnoA07XPEWpXGn6dpdzJqUtlA/kngb/AIJP/sxeAPjppfxp0jW/jRe6L4X+IOtfFrwB+z3rfxIfUf2b/hr8UdeWJr/x94G+G50aG60rxAt2LnULM3XiLUNOsbq8KWmnxWem6FaaTJ8ev+CYHw5/aS+HPiz4WfFX9o/9r7XfB/i345an8dpbK6+K/hfV5NA1W9sLmw034f8AhVvE/wAOPEEGh/Cnwt9sub3wv4Ot7djpuoSLdyandPDAIuivUlVwcIUcPRw9X+0qea4fDSjTrYTJpU8Lwbl1HBYaly06GKhg5ZFj86w6dKng6tWhleFrUo16+MqUZpxgsdVq1a1arRlQx2Cr4iLdLGZnRx2a8XZrUr1ZpuWHn9UzvC5JJuc8TCGJzDEYapDC4XC0angv/BKH4WT3XxC/au/a78C/Cpv2c/2Z/wBpzWPh6f2d/gfHouneE4r7wb4D0G50r/hccngfRli0jwdafEWa6k1bQNMs7eH7bZ3t/qtub7Qbvw9rutftTXx3+y/+x6n7MOp+KdSj/af/AGwfj+nijTNL0xNK/aa+NY+Kuj+GE0u4uZ1u/CNivhjQBot/fC4FtqNwJLgXNrb2sIjjEO5vsStqzpcmEpUZVJUcLgsPg6KrynUxEKWHeIjCOIxE/wDecRL2s69WtCNOgpYlYfDUaOGweHow56SqOeKq1oUoVcTjK2KqKglHD81aOGVsPSSUqVGnChToRjW5sTVdCpjMVUqYnHVphRRRWBsFFFFABX43f8FklGveDf2KfhhrYNx8Nvi3+3v+z94J+KWlTXUMGl+IfCE9/q17LoOtwSqRe6VdXdrBeywu32ZLjT7aedHaKEp+yNfP37Tf7M/ww/az+E2rfB/4rW+tpol7f6Zr2i+IvCmrNoHjTwR4u0KZrrw9408F68Le7XSfEug3TPNY3FxZX9hNHJcWOp6dqGm3d3ZTxK8a2BreyjiI4PNcpx9XDScIxxNHAZjh8XWoXqxnR5p06fPSVaE6Mq+Fw0a0XTnNxuNnTxlL2joyxWWZtgadeKm5Yetj8qzDA0MQlTlCpajWxVOUvZyjVVOdaVJqrGmfm9+wX4Z0D4S/8FHv+CnXwV+FfhjR/B3wY0WL9mTxjpfg/wAJ2dlovgzwl4w8T/DaWfXINB8N6TDa6Poja8zXE93b2Fpboo0a2h2KkCKvl3/BVj9mT4K/F34ZftbfE74D+G/2YPiL+014R8H6LfftP6l8RfGmr+NPip8L/hL4G8F6t4j06H4W+HYtY8S6T8E/ihqumeHbb+wLq58N+EtM8U6N/b8+pTanezR3B+5fAn/BN34YfDX4OfFf4X+DPjd+1To3jT42+J9D8WfEz9p63+MjD9qTxLqfhy/tbrRYrj4pjw4IYLCy0+2k8PfZbfw5ELjQ9Q1WG6ee/wBRutQfnP2g/wDglR+zt+0T8R774n6741+Pvw913xf4V0HwT8ZtO+EXxPHgnQP2hvC/h1rBbDSfjbp40DU5vFUT2Wnw6ZeT6beaBd3VnseSf7dZaZeWGeJoyrYXLMKqkJ1cBl2Fy946tGpNyrQo1MQ8RUpSl7arlcalb+w8fg416GZ43LsPRrYbE06Mq1Opph60aOKx2KdJxpYvG/XHgqcoRUqNJ5fhZ0ueKVGnmOKhhcRnWDxXsauAwOZ4i2MoYirGM5fW37K/i7wv49/Zo+AHjHwVL4pn8I+Ifg58OdR8OS+OJrS58ZvpEnhPSlsj4tutP/4l934l8lFGuXdh/oN1qQubiz/0aSKve65zwd4Q8NfD/wAJeGPAngzR7Tw94R8GaBo/hbwvoNgrrZaN4f0DT7fS9H0u0EryS+RY2FrBbRGWSSVkjDSySSFnPR16WPr08Tj8diaXtPZ4nG4vEU/bNOs4YjFYivF1Wrr2klWcqlm0pzkry5eafnYGhPDYLB4apyc+HwuHw8vZ35F7ChSoxULpNxjClSgpNLm9m58sfacsSiiiuQ6gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//Z
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKAI5pobeGW4uJY4III3mnnmdYoYYYlLySyyOVSOONFZ3d2CooLMQATXxB4e/4Kd/8E1/F3iTRPBvhT/goX+w54n8X+Jda07w14c8K+Hv2svgJrXiTxB4j1e+h0zSdA0TQ9N8f3OqarrWqalcQafp2lWFrPfXt9PDaW0Es8qRt9x1+afgW9n03/gp/+3LqNrZTaldaf+wv+wpe22nW5UT389r8UP2+J4bKAuVQTXUkawRlmCh5F3EDJrOValQlXrYpyWCwmVZzmuJdGDnifZZJgIZniY0ovmpylWwzqQpLklKNanFtVI1Y047KjKrhq0qNvrMa+W0KMakoRoSnmeaYTKKXtJOVOUFSxGMpV6k3VhTdGE4OVF3xFP8ASyuc8UeMfCPgfTrXV/Gvirw54P0m/wBe8N+FrHVPFGuaZ4f0688T+Mte0/wr4Q8OWt7q11aW1xr3irxPq+k+HPDekQyvqGua9qen6Pplvdahe21vL/Ol4I/bS/a10L4J/Dr4xaj+1LJ8Ydb/AGtv+CU/7W37cS+Drn4c/BLTNA/Za+Kvwg8JfCHxV4Ph+Ci+EPhx4a8Sal8JtE1j4xal8OvEGh/tF658cvGWpa/4S8Gz/wDCUW7p49ttXTW/2uf2wfgz4i+BHhtP2yP+GlbL9ojwH/wTv+OHiLxRN8Kv2f8ARo/hKPjz+3Z8Cfgn418KeAE+HPgrS9Oj+BPx/wDhp8TfHek/CqH4hS/FT4t+G5PhV4n1jTPjnruoxyanY9tPC1ZZjTyyfLTxMsZRy+pFzU6cMfLHZpg8Tg416SnSq+weR5rNZjQ+sZVXhRoVMLiMTTxeHcsazVGnVq3dSFOjjcQnGNSE3hMLgquJhjJUa9OlXpQq1lRw/wBSr0cNmNOUpSxFDCUf39P+lGivyK/ZM+K3xl+L3izSP2gviX+2tb+BtG8aftVftUfs9WP7EHijwX+z3Z+BRB8F/Gvxf+HvhP4e/D3xLbaDoH7RTftF2Gk/Cqx+MHjnUdb+LnxK8Marop+ItnpHwV8NeHrnw3rvgP8AWnUJbCGwvptVks4tLis7mXUpdQeGOwisI4Xa8kvnuSLdLNLcSNcvcEQrCHMpEYY1ySlbB0cW5U6ar4OGLUa01GnQhVwGAzKj9ZxEHLDqLwWa4DE15UK9VYanUrRrOFShzVr5X9ZqYZKdR08RPDqVOnPmrVKONxmXVlRoVIQxEnHG5fjMPS56KjiZQo1MPKpSxFOMfGvhr+07+zX8ZvEXxE8IfB/9oX4HfFfxZ8IL6TS/iz4X+GvxZ8BeOvEXwv1OG+1TS5tO+ImieF9f1TUvBN9FqWh63p0lp4lttMuEvtH1S0aMXGn3ccOx8HPj38C/2ivC1344/Z9+NHwm+Ovgqw1q88NX3jD4OfEbwf8AE7wtZ+I9OgtLrUNAu/EHgnWdb0m31qxttQsLm80qa7S+tYL20mngSO5hZ/wx/aX+DHgD4n/GFfA2lfFb9nvwR+yJ8av+CP8A+3F4B/Za+KXwQ8KeHvAPwl/ZZ+Bms2n7L9v458Y/EvxDpfjjVfAHxj+FPiuy1zwj4r+Heu+Ftb+A3w48A+D/AAXreiL4X8X33ikfEfw59B/sMt8a3/4KB/tJ2nxK8N/s/wDghPDP7D/7EnhbxH4K/Zk8a+LfiH8LNF16w8b/ALTR8BXT+MvEvw++D7al4m1r4c+Vqi+H2+GGlv4F+H9x8O9CsPEvi/S5oNYl6KFJVJQhVVahUng8xqOFWl7OVLF5PPN446niIyd6EnUyylhVl7X13CVsdQxFTFZhgo1p4acSlRhOrSnTq0licDyyUlNVcJmUMu+qOjOnNQrVFPHYiVTExaoWynHYeWX4evVwGJxH7SUUUViIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuctfB3hGx8V6147sfCvhyz8ceJNE0Dw14i8ZWuh6Zb+K9f8OeFLvXtQ8LeH9a8RQ2qavqmieGr/wAVeKL3QNKvryew0a78Sa9c6dBbTaxqD3HR185/25rX/QY1T/wYXf8A8eoWjutHaUbrR8s0ozjdWfLOMYxnG/LOMYxnGajFI6OP2ZcvNHpLkmqkOZbPknGM4XT5JxU48s0priPGv7Dv7PF78Nv2q/Cfwg+EXwX+AXjv9rv4efETwX8V/i18Nvg14H0Hxb4t1rx9oPinSz4z+Id14Ys/CmsfErVNK1TxdrHiEp4k8Rfa7+/vtSb+1bO41O6vDufBz9iz9l74J/D+DwF4O/Z8+AmjW+oaz4C8cePLvwz8Ffh54Uh+I3xb+Hl1pWteHvjB4u07S9FKaz8RtM8W6PZ+MNF8W6zc6t4m0PxFBbatY62NTtYr6tefxvD4dtb3WfFHi6PQtEs7C/8AtWq6/r66ZpVrPcWc9rp3n32o3cFpBLPqU9nbWXmSq8t9NbQwbriSJT5t/wAND/DT/ouXgb/w5mgf/Luu/AZRmuIjVxGV5VmuKpyp4HAzr5dluaYulTo5U69XA4KFXA5fiaWGpYSWMnWp4OlVoU4TeGr/AFWE8Pg61Hgx2cZVhalOjmebZXhK3PisbClmOaZZhK1Spj6VLC4rGSp47MsLWr1MRRwqwssXUp1pyorEYZYmVKvi8PV9s0v9mj9nHRPjPrf7R+i/s/8AwS0j9ofxNph0XxH8edL+FPgSw+M/iDRzZaZph0nW/ijaaDF441XTDp2i6Pp5sL/Xbi1NlpOmWnleRYWscXttfE3/AA0P8NP+i5eBv/DmaB/8u6P+Gh/hp/0XLwN/4czQP/l3XUuHOI4wp048O8Qxp0lKNKnHIM9jTpRlOVSUaVNZGqdOMqk51JRpwpxlUnOpKMqk5TlyviThyU51JcR8PSqVHF1KkuIMhlUqOFONKDqTeeOdRwpQhSg5zm4UoQpwcacIU4eyfDL9l39mf4Kal8RdY+Df7O3wK+Eur/GC7F/8WtV+GXwj8AeA9S+KN8J9Zuhe/EW+8K+H9KuvG12LrxF4guRc+JZdTmE+u6zMH8zU71p9r4M/AH4Efs4+FLjwH+zz8FPhJ8B/A13rF34iuvBnwZ+HHg74X+FLnxBf29nZ32u3Hh3wRo2h6RNrF5aadp9rd6nJZte3FvY2cE07xW0Cp4hqX7Q/wu+0R/Z/jl4B8v7BpW7yfiZ4d2ef/Zdn9pzs1vb5v2nzfPz8/n+Z5n7zdVD/AIaH+Gn/AEXLwN/4czQP/l3Tjw5xHBKMOHuIYRWHoYRRhkGfRisJhWpYXCKMckilhMLJKWGwqSwuGklLD4bDySklLiPhubcp8RcOzk69TFOU8/yGcnia0PZ1sS5SzyUnia1P93WxDk8RVp+5Vr1Ye4fbNFfE3/DQ/wANP+i5eBv/AA5mgf8Ay7q/H+0P8Lv7LvN3xy8A/aft+m+Vn4meHfP8j7Pqv2jy8635nleZ9m87b8m/yN/zeXS/1c4j/wCid4h/8MGe/wDzkD/WThz/AKKPh7/xIMh/+fh9lUV8Tf8ADQ/w0/6Ll4G/8OZoH/y7o/4aH+Gn/RcvA3/hzNA/+XdH+rnEf/RO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/wA/D7Zor4m/4aH+Gn/RcvA3/hzNA/8Al3V/Vf2h/hd/ampfZvjl4B+zfb7z7P5HxM8O+R5H2iTyvJ8vW/L8ry9vl7Pk2Y2/Lij/AFc4j/6J3iH/AMMGe/8AzkD/AFk4c/6KPh7/AMSDIf8A5+H2VRXwR4p/ad8A6B4Y8R67p3xa8IeIdR0XQdY1ew0Cy+Juii91y903T7i8tdHtDBqN9OLrU54Y7K3MNleSiWdDHa3D4ife/wCGh/hp/wBFy8Df+HM0D/5d1ksiz515YZZDn7rwowxEqX9g57zxoVK1TDwquP8AYt1CVajVpp8tnKEkm2ml1PN8ljgaeZPPcgWCq42vl1PEf6wZBySxuGweGx9fDr/hcvz08JjMNXfTkqxtrc+2aK+NZP2h/hd/Zdnt+OXgH7T9v1LzcfEzw75/kfZ9K+z+ZjW/M8rzPtPk7vk3+fs+bzKof8ND/DT/AKLl4G/8OZoH/wAu61/1c4j/AOid4h/8MGe//OQ5f9ZOHP8Aoo+Hv/EgyH/5+H2zRXxN/wAND/DT/ouXgb/w5mgf/Lur+m/tD/C77RJ9o+OXgHy/sGq7fO+Jnh3Z5/8AZd59mxv1vb5v2nyvIx8/n+X5f7zbR/q5xH/0TvEP/hgz3/5yB/rJw5/0UfD3/iQZD/8APw+yqK+Jv+Gh/hp/0XLwN/4czQP/AJd0f8ND/DT/AKLl4G/8OZoH/wAu6P8AVziP/oneIf8AwwZ7/wDOQP8AWThz/oo+Hv8AxIMh/wDn4fbNFfE3/DQ/w0/6Ll4G/wDDmaB/8u6v6l+0P8LvtEf2f45eAfL+waVu8n4meHdnn/2XZ/ac7Nb2+b9p83z8/P5/meZ+83Uf6ucR/wDRO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/z8Psqivib/AIaH+Gn/AEXLwN/4czQP/l3R/wAND/DT/ouXgb/w5mgf/Luj/VziP/oneIf/AAwZ7/8AOQP9ZOHP+ij4e/8AEgyH/wCfh9s0V8a2f7Q/wu+z6r5vxy8A+Z9gj+zeZ8TPDu/z/wC1NN3eRu1vd5v2b7Rny/n8jzs/u99UP+Gh/hp/0XLwN/4czQP/AJd0f6ucR/8ARO8Q/wDhgz3/AOcgf6ycOf8ARR8Pf+JBkP8A8/D7Zor4m/4aH+Gn/RcvA3/hzNA/+XdH/DQ/w0/6Ll4G/wDDmaB/8u6P9XOI/wDoneIf/DBnv/zkD/WThz/oo+Hv/EgyH/5+H2zRXxrqv7Q/wu/tTUvs3xy8A/Zvt959n8j4meHfI8j7RJ5Xk+Xrfl+V5e3y9nybMbflxVD/AIaH+Gn/AEXLwN/4czQP/l3R/q5xH/0TvEP/AIYM9/8AnIH+snDn/RR8Pf8AiQZD/wDPw+2aK+Jv+Gh/hp/0XLwN/wCHM0D/AOXdX5P2h/hd/Zdnt+OXgH7T9v1LzcfEzw75/kfZ9K+z+ZjW/M8rzPtPk7vk3+fs+bzKP9XOI/8AoneIf/DBnv8A85A/1k4c/wCij4e/8SDIf/n4fZVFfE3/AA0P8NP+i5eBv/DmaB/8u6P+Gh/hp/0XLwN/4czQP/l3R/q5xH/0TvEP/hgz3/5yB/rJw5/0UfD3/iQZD/8APw+2aK+cfCXjNfE1vHq+h+K18Q6Nd6br0lnqek66NW0y5ey0/U4Xe2vbO6uLWZ7S+tZImaKVjBd27oSk0TBdTR9Y1eXV9Kil1XUpI5NSsY5I5L66dJEe5iV0dGlKsjKSrKwIYEggg15NSnUo1KlGtTqUa1KcqdWlWp1KVWlUg3GdOrSqwpVadSEk4zp1KdOcJJxnCMk4r16dWnWp061GpTrUasI1KVajUp1qVWnNKUKlKrSqVaVWnOLUoVKdWpTnFqUJyi1J+9UUUVBYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXmfxN+NPwc+CmnabrHxl+LPwz+Emk6zeyabo+qfE3x54W8BadquoxQNdS2Gm3virVdKtr69jtke4ktbWWWdIFaZoxGpYJyjGzlKMU5RinKUYpyk7RiuZxvKT0jFXlJ6RjJ6DUXK/KnKycnypu0Yq8pOydoxWspO0YrWUorU9Moryjxj8efgb8OrPw3qPxB+M/wn8C6f4y0nVtf8IX3jH4i+EPDFn4r0LQdJg17XNa8N3Ot6xYwa5pOjaHc22s6tqWlvdWenaTcQajeTQ2csczcPqH7Y/wCyJpFrPfar+1R+zhpljbQeGbq5vNQ+OPwxsrW3tfGukza/4NuZ7i58URQxQeLdCt59a8MzSOsevaTBNqOlNd2cTzK3o5RekoTnSnF6ShVpylGpTnF2lCpTlGUalOahUpyjKM6cJRlGKXvKDj7yqQjVpuOqqUp/BUptXVSnL7NSm505fZqSPo+vl+vpDSdW0rXtK0zXdC1PT9a0TWtPs9W0fWNJvLbUdK1bStRto7zT9T0zULOSa0v9Pv7SaG6s7y1mltrq2ljngkeJ1Y/N9OUZQlKE4yjKMpRlGUZRlGUZOMoyjJRlGUZRlGUZRjKMoyjKMZRlGKjKMoxlGUZRlGMoyjJSjKMkpRlGUXKMoyjKMoyjKUZRlGUZSjKMn8y/ti/8m4/EX/uUf/U78MV+GNfud+2L/wAm4/EX/uUf/U78MV+GNf3z9Fj/AJN/m/8A2V2O/wDVRkp/AP0qv+Tg5P8A9khgP/VvnQUUUV/Sx/MwUUUUAFFFFABRRRQAUUUUAITgE+gJ/IZpaQnAJ9AT+QzS15kK986xGF+vc3Jk2CxP9mfVrex9rm2Y4f8AtL65b959Z9j/AGf9U5n7H6l9asvrF37tTCcvC2Dx/wDZPJ7XibNMD/b313m+s+w4dyXG/wBh/wBm837r6j9a/tn+0eVfWf7T/s/mf1PliUUUV6Z4QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+8X7EX/ACb38P8A/sF/Er/1IfG9fTWh/wDIa0f/ALCmn/8ApXDXzL+xF/yb38P/APsF/Er/ANSHxvX01of/ACGtH/7Cmn/+lcNf5Q+Iv/JwOOP+yu4j/wDVviz/AFl8Of8Ak33A3/ZIcOf+qjCH0ZRRRXxp9mFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV/Kv/wV38Ptov8AwUD8KeP/AI9fFzRfgR8BNX/ZnXwx8MPiX43/AGQvC37aXw/uvG2keLL3WPFHgFfh1460zWdB8LeOtVWe31S38WWGnf2jBpCafZT31lpep6lcRf1UUVz16HtamGqKUU8PLEvlnBzhOOLy/F5fUbipwtVpU8V7fDTbcIV6bVWE6FetE2pVVCniaUouUcTTowk4yUJr2GNwmNjHmcZfuqssL7HEQXLOdGpenOnWo0ZH8nXg39nrw3qM/wDwQs+D3xWtPGnxP+HWs+Mf2tvEmneF/wBoL4U+G/AOu3PgxtO8P+N/CHh/xZ8MLTx38WtCi8NmW2stR0nR77xVqlvfeFrvTbO80zS7Rv7FtL/xJ8Sf8E//AIH/APBUT9vZ/wBsf4O+HtU+FGi/Br9n7wb8NJbn4MXfxB+HPgS8/wCFQ+Cra08FaVonh3w3rNh4C8U+JdJ023tfh5ra2Wh2elWPhjX7Gz8QaEr7Lv8Aq2r5m8BfsqfDz4d/tL/HT9qjRNZ8Z3XxC/aC0HwB4e8Z6Pqmo6HP4N0yy+HOi2uhaJL4Y0+08O2Ot2V1dWlpHJqr6r4h1qKe5Z3tILGIrCvRiL4ivKP8LD1afG0qtSSVatz8R5dk+BwKaSo+0xeEo5bOjHMZPmpVJvEezhTq1qdbKl+7oTUnKpWVDhvDwVOUqEXLKuIs1zvHVYSvV9jQxEs0beDStUhh4UnKVVUHhvh7/glX8C/FN7/wTJ+F/wALPjXbfFPwXY+JrzxX4i8P6Po/xK+Jnwl+J3hn4e6j8Sb7xf4DsYPHfw08ReBfiH4U+22UVnqMlroXiLSxqfhzVn0jVI5NH1fU9Gf7u/ti7/546X/4I9F/+V9fRlfL9dGLrrE4ipWUZQjJUoQjOo61T2dDD4bC03WrSjGVevKlhKU8RXlGMq+InXrOKdRJYUKbpU+Rum5OpiK0/ZUo0KMamJxWLxlSGHoRco4fDU6uMq0sLh4ykqGGp4eipP2Tb+dP2zNSuLj9mz4kQyR2Co//AAh+TDpWl20o2+PfCzDbNb2cUycqA2yRdy5RsozKfwir9zv2xf8Ak3H4i/8Aco/+p34Yr8Ma/vL6LH/Jv83/AOyux3/qoyU/gb6VX/Jwcn/7JDAf+rfOgooor+lj+ZgooooAKKKKACiiigAooooAQnAJ9AT+QzS0hOAT6An8hmlrzIV751iML9e5uTJsFif7M+rW9j7XNsxw/wDaX1y37z6z7H+z/qnM/Y/UvrVl9Yu/dqYTl4WweP8A7J5Pa8TZpgf7e+u831n2HDuS43+w/wCzeb919R+tf2z/AGjyr6z/AGn/AGfzP6nyxKKKK9M8IKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/e/9h+/nj/Z1+HkCx2RSPTfiQ6tJp2nyzEr4m8bTAPcS2r3EiFxho5JWR4swOrQExn6f0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysAR8p/sRf8m9/D//ALBfxK/9SHxvX01of/Ia0f8A7Cmn/wDpXDX+UPiL/wAnA44/7K7iP/1b4s/1l8Of+TfcDf8AZIcOf+qjCH0ZRRRXxp9mFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXy/X1BXy/QB518WvDHgPxl8O/E/h34meJ08G+Cr61tZdW8RvrWjeHlsJ9O1Gz1TRozq/iC3utJtf7Q12y0zTAlzA73ZvBZWpS8uLeRPgb/AIZ2/Yp/6OMtf/Du/Cb/AOUlfSH7b/8Aya98Tv8AuS//AFYfhOv59a/rbwG4T4gz3hDMcXlXiJxRwlh6fEWKw88uyTD5NVwtatDL8sqSxtSWY4TEV1XqQqwoyjGapKnQpuMVJzb/AJI8euKuHsj4vy7CZt4dcL8XYipw7hMRDMs7xGc0sVRoyzHM6ccFTjl2Mw9B4enOnOtGUoOq6leopScVBL9ev+Gdv2Kf+jjLX/w7vwm/+UlH/DO37FP/AEcZa/8Ah3fhN/8AKSvyFor9t/4hzxl/0ezxA/8ACLhf/wCdp+I/8RE4L/6Mj4ff+FvFP/zyP2EvP2cf2IoZUS3/AGkLWWM2tjKzf8Lg+Eb4nnsrea5j3JoYUeTcySw7CN8ezy5CZFYmr/wzt+xT/wBHGWv/AId34Tf/ACkr8haKP+Ic8Zf9Hs8QP/CLhf8A+dof8RE4L/6Mj4ff+FvFP/zyP16/4Z2/Yp/6OMtf/Du/Cb/5SVaT9nH9iI2VxM37SFqLmO6s4oof+FwfCMb4Jor57iTyzofmN5UkFsu9SETztrgtJGR+PdFH/EOeMv8Ao9niB/4RcL//ADtD/iInBf8A0ZHw+/8AC3in/wCeR+vX/DO37FP/AEcZa/8Ah3fhN/8AKSj/AIZ2/Yp/6OMtf/Du/Cb/AOUlfkLRR/xDnjL/AKPZ4gf+EXC//wA7Q/4iJwX/ANGR8Pv/AAt4p/8Ankfr1/wzt+xT/wBHGWv/AId34Tf/ACkq1ffs4/sRQXt5DbftIWs1tDdXEVvN/wALg+EcnmwRyukUnmR6GI33xhW3oAjZ3KApAr8e6KP+Ic8Zf9Hs8QP/AAi4X/8AnaH/ABETgv8A6Mj4ff8AhbxT/wDPI/V3xR8Cv2N9C8NeItb0v45HxHqej6Fq+q6d4esPi78LPt2vX2n6fcXdpo1l9n8NX1x9r1S4hjsbbyLK8m86dPKtbh9sL7v/AAzt+xT/ANHGWv8A4d34Tf8Aykr8iYY/Nliizt8yRI92M7d7Bc4yM4znGRnpkVHXDHgPi95nWwK8dOPnVp5bhsa8J/ZvDSnCnXzHG4OOKeIeW+ylCrUw08MqEf3tOVCVef7urA9ifG3B0eHsLmb8AuAI0q2f5hlqzX+1+JXCtUw2R5TmEsrWBWZ+1pzwtPGQzJ42S9lXjjo4ODdTDTS/YR/2cf2IhZW8y/tIWpuZLq8ilh/4XB8IzsghisXt5PLGh+YvmyT3K72JR/J2oA0chNX/AIZ2/Yp/6OMtf/Du/Cb/AOUlfkLRXd/xDnjL/o9niB/4RcL/APztPH/4iJwX/wBGR8Pv/C3in/55H69f8M7fsU/9HGWv/h3fhN/8pKtWf7OP7EU0rpcftIWsUYtb6VW/4XB8I0zPBZXE1tHufQyp865jih2Ab5N/lxkSMpH490Uf8Q54y/6PZ4gf+EXC/wD87Q/4iJwX/wBGR8Pv/C3in/55H69f8M7fsU/9HGWv/h3fhN/8pKP+Gdv2Kf8Ao4y1/wDDu/Cb/wCUlfkLRR/xDnjL/o9niB/4RcL/APztD/iInBf/AEZHw+/8LeKf/nkfr1/wzt+xT/0cZa/+Hd+E3/ykq1efs4/sRQyolv8AtIWssZtbGVm/4XB8I3xPPZW81zHuTQwo8m5klh2Eb49nlyEyKxP490Uf8Q54y/6PZ4gf+EXC/wD87Q/4iJwX/wBGR8Pv/C3in/55H69f8M7fsU/9HGWv/h3fhN/8pKP+Gdv2Kf8Ao4y1/wDDu/Cb/wCUlfkLRR/xDnjL/o9niB/4RcL/APztD/iInBf/AEZHw+/8LeKf/nkfsJb/ALOP7EUkV88v7SFqkkFqktsv/C4PhGvnTm9s4Wj2toZaTFtNcTbIyHHleYT5aODV/wCGdv2Kf+jjLX/w7vwm/wDlJX5C0Uf8Q54y/wCj2eIH/hFwv/8AO0P+IicF/wDRkfD7/wALeKf/AJ5H69f8M7fsU/8ARxlr/wCHd+E3/wApKP8Ahnb9in/o4y1/8O78Jv8A5SV+QtFH/EOeMv8Ao9niB/4RcL//ADtD/iInBf8A0ZHw+/8AC3in/wCeR+wl9+zj+xFBe3kNt+0hazW0N1cRW83/AAuD4RyebBHK6RSeZHoYjffGFbegCNncoCkCqv8Awzt+xT/0cZa/+Hd+E3/ykr8haKP+Ic8Zf9Hs8QP/AAi4X/8AnaH/ABETgv8A6Mj4ff8AhbxT/wDPI/Xr/hnb9in/AKOMtf8Aw7vwm/8AlJVp/wBnH9iIWVvMv7SFqbmS6vIpYf8AhcHwjOyCGKxe3k8saH5i+bJPcrvYlH8nagDRyE/j3RR/xDnjL/o9niB/4RcL/wDztD/iInBf/RkfD7/wt4p/+eR+41h+wZ8DNVsbLVNL8ZfELUtM1K0tr/TtRsPEXg+8sb+xvIUuLS9sru38HyW91aXVvJHPbXMEkkM8MiSxOyMrG3/w79+DX/QzfE3/AMHPhX/5jK+kPgN/yQ34M/8AZKPh3/6iGj16vX8a5n4teKWAzPMsBDj/AIjqQwOZZjgYVJ1sDGdSGCzDH4KFScYZQ4RnUhg41Jxi3GMpyjH3VE/svLPCPwsx+WZbj5+H/DlOeOy3LsdOnCjjpQpzxuX4DGzpwlPN1OUKc8ZKnCUkpSjCMpe85HM/B34faN8LPCmleA/D9zqd5pGhaX4t+yXOszWtxqUn9px6/rNx9pmsrLT7V9l1qE0cPlWcO2BYlfzJFeV+60P/AJDWj/8AYU0//wBK4aNH/wCPub/sF65/6ZdQo0P/AJDWj/8AYU0//wBK4a/L8bjcXmOMxeYY/EVMVjcdia+MxmKrOLq4jFYmpKtXr1XGFOLqVas5Tm404Jyk7QitF+oYLBYTLcHhMvwGHp4TA4HDUMHg8LRUlSw2Fw1ONGhQpKU6klTpUoRhBSqTajFXnJ6v6MooormOoKKKKACiiigAooooAKKKKACiiigAooooAKK/jh/4K2eJ/hT8Yv2gP2zzPF4Bi+In7OXhf4eaJomu/tP/ALTXizwteaW0vg+51C88OfsS/s4fDLTPC2pa94y1LXNQ0nxJrniX4n+KfH3g+XU4I7y58PaNpeqpKvsmj/BPwf8Atnftmfss+Gf2kb/xJ8RtK8Qf8EcfhZ4+8afYfG/ibQP+FgeJ7fUhfW994r1rwxqOjazr9pH4ivoPF7Ws1/Hb3/ifSNI1HU472O2ltbjmp13UwCxyhaNsbXcea6lgcLw5xNxHTxFKfL+8qV8PwtjcOqUo0Ye2xGGnBxoqpUrbV6caGKlh5TbUYUoSko+/DFyzbhfKa1CpTbXLTpVeKcNU9rCdaUo4WvFxbnT9j/V1RX8XHwF+G9v4M+B3/BH39ri08UfEG++PXjD9t/w78ApPHGt/Ejxv4ibTfgLp/jzxt4AsvhLofh/WtYuvDXhrwZa6DpF/p0ei6DpNnA9hr2s2k0ktnfCztk17wR+wZ4u1P/gsTrf7S3xOi8N/tAfDb9o39ofxV+zp4f1H4o+IPBt9pPiSe78Ry6B4i+F3gq08R6NpHxD8X+JPGOg6Xonim1bS/EV7p2laD4YNymhWtza6lN1YrlwksTz8044GlnNbFRppPESWUVeEJOjgqLdsViq+D4xwc1ScqcYYvA42hF1cL7DFSzownWnClaNOpWqZXQoynJ+whVzHM+LcmlUxlZL/AGXCYbMeFKrniEqrlgsZSruNKvTlh5f1E+P/ANs7wD4B+OnjT9nUeAPjB42+Jngz9mvWf2oG0v4feFdF8Sf8JR4O0fxEfC//AAh/g6x/4Smz8Qa38SdU1XbHo3h86Ja6XfLLEn/CQRXLi3rd8M/tcfDPxH8Svgz8GrnRfiJ4R+LXxp+DFx8d9O+Hfjbwdc+HfEvgbwVapYRz2fxHinupbHQPFcGqXk+hXfhnT77W9RsNW0vUU1BbWzWzvbz+bvXNd+JXifxH4w8RfGGfWLv4l63/AMG7niPU/F974h3/APCQX+p3nicTrqOumVmuH1rULR7a91WS8Iv5L+e4kv0S8adFufCX4Ofsvr+2h/wSw8U/Giz8PaEPGX/BOz4C+PNF1rxV481/wjp2vftAfD+y8J6N8J/7NuW8TaRptxr1ta6LpWnaZ4Ptj/ZfiW7S3h1DQtX1C/xdVOnPD1KVGqvrE6eLxOGxHsYyjVr1KGH8W69KhhKNpONfEz4IyvCujP2uI+txq4ShCVfF4j2WFatF4WriqKdNPLaONw9Oo4yjCU8BwJiKrxFZWXsIVOI8bVjWpxjTjhaixNVuhg6Ma/8AW1WdrGpwaLpOqazdJNJa6Tp17qdzHbqjzvBYW0t1MkCySRRtM0cTLGsksaFyoaRFJYfxQap8cPg9o3/BC7xf+zzqfxM8FWfx2h/aYvtPm+EEniHTj8RYXsvjZZ+K7q+l8JRzvrUWhw6HZ3Nw3iN7RfD5uojpS6m2rMli33D8d7D9l/4nf8FBf2zLb/goR8UtR+H0XwP+Bfwm1v8AYwGq/FnxB8L7Hw1bXngS317xN42+Ex0vVvDb+J/iZaeNrfTb7RtCsp9efV9Z/tazm8P6/JoNrHofLjJyhhMXWwtWnL2eDxWIw+ISjWp1o0OBMq4vcsHTUuTMMVGvnmFwFHA0qyWKWCxlaValJ/VYd8KUKeOo4espVIvHVMJVhFunNey49xPBsJV5WlPCYavSwVTMq2LlB/VKWKoQpwxC5MTU/oG/ZS/aZ8B/tg/AjwV+0L8NNJ8XaH4L8dv4jj0jTPHVho2meKLZvDHijWfCV+dSstA17xNpUIm1HQ7uez+y61eGSykt5JhbzvLbQ5FfAH/BHbwvrXjP/gkr8C/DPhn4keNPhNq+pXXxP+w/EP4f6f8ADzUPGOgLZ/H7xtfznSbD4q+Bfif4BlOrWlrPomoLrvgrXRFpmpXsulNp2sx6drFh+if9oWn/AEA9L/7/AGtf/LivVzPD08Lj8Vh6KkqVKpGMFOTlJJ4fB1HzSaTb5q9TdKysvs3flYGtUr4aNWq4ubq4uDcElFqjjsfh4Ws2n+7w9P3k/ed56c9l8e/tv/8AJr3xO/7kv/1YfhOv59a/oZ/blvLeX9lr4oxx6VYWzt/whOJoZNUaVMfEXwix2i41K4hO4Ao2+F/lYldr7WX+eav7i+i//wAkDm3/AGVmO/8AVTkx/DX0oP8Akvsp/wCyTwP/AKts5Ciiiv6QP5vCiiigAooooAKKKKACiiigCSGPzZYos7fMkSPdjO3ewXOMjOM5xkZ6ZFR1JDH5ssUWdvmSJHuxnbvYLnGRnGc4yM9Mio682Fe+dYjC/XubkyfB4n+zPq9vY+1zbMcP/aX1y37z6z7H+z/qnM/Y/U/rVl9Yu/cqYTl4XweP/srk9pxLmeB/t367zfWfYcO5Ljf7E/s3m/dfUfrX9s/2jyr6z/af1Dmf1PliUUUV6R4YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH9MPwG/wCSG/Bn/slHw7/9RDR69Xrzr4B31qnwK+CyNo+mysvwl+HKtLJLq4eQr4P0YGRxFqscYdyNzCOONASdiKuFHrP9oWn/AEA9L/7/AGtf/Liv8l+Iv+Sh4h/7H+ff+rzOj/Wjh3/knuHv+xBkP/qjyUNH/wCPub/sF65/6ZdQo0P/AJDWj/8AYU0//wBK4a0tKvrVrmULo+mxkabrDbkl1ckhNIvnaM+Zqsi7JVUxSEKHCOxieOQJIpo99avq+lIuj6bEzalYqsscurl4y1zEBIgl1WSMuhO5RJHIhIG9GXKnxz2D3qiiigAooooAKKKKACiiigAooooAKKKKACiiigDx3xT+zv8As/8AjjxfN8QvGvwM+DvjDx9caBf+FLjxx4p+GXgrxB4vn8L6rpGpeH9U8NzeJdW0S71qXQNS0HWNX0S/0d71tOvNI1XUtNuLaSzvrqGXR0H4H/BXwrrOj+I/DHwg+F3hzxD4e8Ew/DTQNd0H4f8AhPR9Z0P4cW032i3+H+j6pp+k299pngmCf9/D4Usp4NCim/eJYK/zV6jRSSSjyJJQtUjyJJQ5aqrxqx5ElHlqxxWKjVjy2qRxWJjUVRYnELENtyfNJuUny3lJtt8nseS7bbfJ9Xw/Jr7n1ehycnsKHsfH7b9nr4BWfh7wR4Ss/gd8H7Twp8M/EyeNfhv4Ytvhp4Lg8PfD7xlHf3eqx+LfBGixaKmm+FPEyanf32opr2g21hqq397d3i3YuLmaR/kn4H/8E4Pg/wDDnxn+0J4x+KulfDb9oS4+M/7SnjD9o7wjB8Qfg14XvZvhBqvi2eCeXR/Dl94j1Hxk9xqFq9nZNJ4p0yHwvc3j2Vq7aXAYIdn6LUVUG4V3iYykq7o1aPtHKTko1q+X4mpOLk3yYh18py6ccVBwxcPqdCMMTCEIxgp2nSdGaUqcqlKpKLS950lmKhGbtedF/wBrZi6mHm5YetLGV51qNWdScqnm/iD4OfCHxZrus+KPFXwr+G/ibxN4j8EXnwy8Q+IvEHgfwxrOu698N9RuWvdQ+H2s6vqOl3Ooap4Iv7xmu7zwpfXE+g3VyzTz2DykvWNq/wCzz8AfEEfw5i174G/B7W4vg/FZQ/CSLV/hn4L1KP4Ww6adMOnQ/DlL3RJl8ERWB0XRzZR+GRpiWp0nTDAI/sFr5XsNFKPu8nL7vs5wqU+X3fZ1Kcq8qdSHLy8lSnLE4mVOpDknTlicTKnOEsRiJVyXvc3N73PCdOfN73NTqU6dGpTlzc3NTqUaVKjOEuaE6VKlSnCdKnTpU/nnWP2Rf2UPEWseLPEPiD9mH9nnXdf8eu8vjnXNY+C3w21PWPGkkur2HiCSTxZqd74anvfEbya9pema276xPeM+r6dYakxN7Z280fY+NvgT8EPiXrvhfxR8R/g38KviB4m8DtG/grxF42+HnhHxXrvhB4ruC/ifwvq+u6Rf6h4faO+tba9jbSbi0KXdvBcKRNDG6+q0UuWKhCmor2dNp06dl7Om1SqUE6cLclNqjWq0U4Qg1Rq1aKapVatKo3KTlKbk3OcXCc225zhKUJyhObbnKMp06c5RlOUZTp05uLnTpyp8j4F8AeA/hf4X03wR8NPBPhH4d+C9HN42keEPAvhvRvCXhfSm1C9uNSvzpugaBZafpVib7Uby71C8NraRG5vbq4upt888sjeG19QV8v1UpSk3KUpSk9XKUpSk3ZK7lJyk3aMVdybsktkkpUVFWilFau0Uoq7bk3aKSu5SlJu13KUpO8pSb+Uf23/+TXvid/3Jf/qw/Cdfz61/TX8ZPhP/AMLw+Gnir4Y/2/8A8Ix/wkNrZ3P9t/2V/bX2P/hG9UsfFWz+zf7S0n7R9t/sT7Bu/tCD7N9q+1bZ/J+zy/nh/wAOxP8Aqt//AJjX/wDD+v6z8B/E3gngzhHMcr4kzr+zsdX4hxWOpUP7PzPF82FqZfllCFX2mCweIpR5quHrR5JTVRcl3FRlFv8Akzx48MuNuM+LsuzThvJf7RwNDh7C4GrX/tDLMJy4qnmGZ150vZ43GYerLlpYijLnjB03z2UnKMkvyjor9XP+HYn/AFW//wAxr/8Ah/R/w7E/6rf/AOY1/wDw/r9s/wCI9eFH/RU/+YXP/wD52H4n/wAQF8V/+iW/8zWQf/PM/KOiv1mvP+CXf2SVIv8AheXmb7Wxud3/AArPZj7bZW95sx/wsFs+X5/l7sjfs37U3bRV/wCHYn/Vb/8AzGv/AOH9H/EevCj/AKKn/wAwuf8A/wA7A/4gL4r/APRLf+ZrIP8A55n5R0V+rn/DsT/qt/8A5jX/APD+rSf8Eu99lcXn/C8seRdWdt5f/Cs87/tcV9Lv3/8ACwRt8v7Ft27Tv8zO5dmHP+I9eFH/AEVP/mFz/wD+dgf8QF8V/wDolv8AzNZB/wDPM/Jmiv1c/wCHYn/Vb/8AzGv/AOH9H/DsT/qt/wD5jX/8P6P+I9eFH/RU/wDmFz//AOdgf8QF8V/+iW/8zWQf/PM/KOiv1c/4dif9Vv8A/Ma//h/Vq+/4Jd/Yr28s/wDheXmfZLq4tvM/4Vns8zyJXi37P+Fgvs37N23c23ONxxkn/EevCj/oqf8AzC5//wDOwP8AiAviv/0S3/mayD/55n5Owx+bLFFnb5kiR7sZ272C5xkZxnOMjPTIqOv018b/APBOf/hDfBfi/wAX/wDC4v7R/wCEV8L6/wCJP7P/AOFe/Y/t/wDYelXep/Yvtf8AwnF19l+1fZfI+0fZrjyPM83yJtvlt0//AA7E/wCq3/8AmNf/AMP644+PXhb/AGjVb405sP8A2fh1HAf6v56vZV1j8W6mO+s/2Zzz9vRdLBfVn7lL6r9YXvVpHrT8AvFL+wMNUXAfJiHnuPpyzr/WXIpfWKEclyupTyf+z/7T5KX1OtOrm319LnxH9o/Um+XCxR+UdFfrM/8AwS72WVvef8Lyz591eW3l/wDCs8bPskVjLv3/APCwTu8z7bt27Rs8vO5t+Eq/8OxP+q3/APmNf/w/rs/4j14Uf9FT/wCYXP8A/wCdh5P/ABAXxX/6Jb/zNZB/88z8o6K/Vz/h2J/1W/8A8xr/APh/Vqz/AOCXf2uV4v8AheXl7LW+ud3/AArPfn7FZXF5sx/wsFceZ5Hl7snZv37X27Sf8R68KP8Aoqf/ADC5/wD/ADsD/iAviv8A9Et/5msg/wDnmfkzRX6uf8OxP+q3/wDmNf8A8P6P+HYn/Vb/APzGv/4f0f8AEevCj/oqf/MLn/8A87A/4gL4r/8ARLf+ZrIP/nmflHRX6uf8OxP+q3/+Y1//AA/q1ef8Eu/skqRf8Ly8zfa2Nzu/4Vnsx9tsre82Y/4WC2fL8/y92Rv2b9qbtoP+I9eFH/RU/wDmFz//AOdgf8QF8V/+iW/8zWQf/PM/Jmiv1c/4dif9Vv8A/Ma//h/R/wAOxP8Aqt//AJjX/wDD+j/iPXhR/wBFT/5hc/8A/nYH/EBfFf8A6Jb/AMzWQf8AzzPyjor9Zrf/AIJd+fFfS/8AC8tn2K1S52/8Kz3eZvvbOz2Z/wCFgjZj7X5m7D58vZtG/ctX/h2J/wBVv/8AMa//AIf0f8R68KP+ip/8wuf/APzsD/iAviv/ANEt/wCZrIP/AJ5n5R0V+rn/AA7E/wCq3/8AmNf/AMP6P+HYn/Vb/wDzGv8A+H9H/EevCj/oqf8AzC5//wDOwP8AiAviv/0S3/mayD/55n5R0V+s19/wS7+xXt5Z/wDC8vM+yXVxbeZ/wrPZ5nkSvFv2f8LBfZv2btu5tucbjjJq/wDDsT/qt/8A5jX/APD+j/iPXhR/0VP/AJhc/wD/AJ2B/wAQF8V/+iW/8zWQf/PM/KOiv1c/4dif9Vv/APMa/wD4f1af/gl3ssre8/4Xlnz7q8tvL/4VnjZ9kisZd+//AIWCd3mfbdu3aNnl53Nvwh/xHrwo/wCip/8AMLn/AP8AOwP+IC+K/wD0S3/mayD/AOeZ99/Ab/khvwZ/7JR8O/8A1ENHr1euU8B+GP8AhCPA3gzwX9u/tP8A4RHwn4d8Mf2l9m+xf2h/YGj2elfbvsf2i7+yfa/sn2j7N9qufI8zyvtE2zzG6uv88c5xFLF5znGLw8/aYfFZxm2KoVOWUfaUMVmuaYmhPlmozjz0cRRnyzjGcefllGMoyS/0OybD1cJk2T4TEQ9niMLk+U4WvT5oy9nXwuVZXhq8OaDlCXJWw9aHNCUoS5OaMpRlFvU0f/j7m/7Beuf+mXUKND/5DWj/APYU0/8A9K4aNH/4+5v+wXrn/pl1CjQ/+Q1o/wD2FNP/APSuGvNPSPoyiiigAooooAKKKKACiiigAooooAKKKKACiiuP+IXj7wl8K/AvjD4l+PdW/sHwT4C8N6x4u8Wa19g1PVP7J8PaBYT6nq+of2bo1nqOrX32Sxtpp/smm2F5fT7PLtraaZkjaZzhShKpUnGnThFynOclGEIq15SlJpRirq7bSV13KhCdScadOMp1JyUIQhFynOcnaMYxSblKTaSSTbeiOworkPh/488KfFLwL4O+JXgTVf7d8E+P/DGh+MvCOtfYdS0z+1vDfiTTbbV9F1L+ztZs9P1aw+26dd29x9j1Owsr+38zyru1gnR4l6+talOdKpOlVhKnUpTnTqU5xcJ06lOUoThOMkpRnCcJQlGSTjKMotJpozhOFSEZ05RnCaUoTg1KMou9pRkm007OzTto+wUUUVBQUUUUAFFFFABXy/X1BXy/QB8k/t0/8mr/ABS/7kj/ANWN4Qr+d2v6Iv26f+TV/il/3JH/AKsbwhX87tf3X9GL/kg82/7KvHf+qrJz+FPpO/8AJeZT/wBkpgf/AFa5wFFFFf0afzkFFFFABRRRQAUUUUAFFFFAE1vF9ouIIN2zzpoot+N23zHVN23K7tu7OMjOMZHWoamt4vtFxBBu2edNFFvxu2+Y6pu25Xdt3ZxkZxjI61DXmwr3znEYX67zcmT4PE/2Z9Xt7H2ubZhh/wC0vrlvf+s+x/s/6pzfufqf1qy9vd+5UwnLwxg8f/ZXJ7TiXM8D/bv13m+s+w4eybGf2J/ZvN+6+o/Wv7Z/tHlX1n+0/qHM/qfLEooor0jwwooooAKKKKACiiigAooooAKKKKACiiigAooooAK/o2/Yb/5M9+Dv/YU+J3/qd6nX85Nf0bfsN/8AJnvwd/7CnxO/9TvU6/nL6Tv/ACQeU/8AZV4H/wBVWcH9G/Ri/wCS8zb/ALJTHf8Aq1yc+oqKKK/hQ/us1NH/AOPub/sF65/6ZdQo0P8A5DWj/wDYU0//ANK4aNH/AOPub/sF65/6ZdQo0P8A5DWj/wDYU0//ANK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKAPiL/AIKLeFfi74m/Y/8Ai9ffAbxx4w8A/F3wBpVn8U/BereC/EeueHNS1S6+HN/B4p1bwneSaDdWlxq+m+LfDun6xoEug3rTaXqN3fWQvreRIVK/lH4u/af+Jv7WSftX/tKfCn4m/FL4f/CL9nX/AIJvW1xpGleB/Hvirwx4a1H9pL4zfCrUfileavc2+g6raaXqfif4T+FtTsNLtrtkbV/DOvyabfwXFrcw2pX+jggEEEAggggjIIPBBB4II4IPWvlvwD+xV+zD8Lvgz8S/2e/AHwqsPDHwf+MF34wvviL4OsPEXjJ4/EVz480m30LxS51u68RXHiTSkv8AR7S1062g0PWNNg0a1t4YtEi04Rrjkq0KsqWZwhNXxGFqVcvvKcfYZvVy+WRSq1JK8lhI5TiK+Lpwhz8ub0sNXVGL58SdVKrSjUy6c4P/AGfG0IY20YyVbKKeY4TOp0YQdlLFvMMBRw0ZzsnlmKxtCVbllGjP8HvDerfGP9oz9pj/AIJ6/AbxB+2p+0l8FvC3xd/4JafCz4heMp/ht8ZNX8N+N/ib8Q4ZNb1m8vdK1fXjr9mvxF1f+yY9c8QeMhpF/wCMNU8J+HNe0d9QGn6hfyR5Xh/9qb4sad+zP8Vv2c/Fn7VX7R3inUfDv/BRi6/ZJ+D3xf8Ag1omj+N/2m/jj4EtW/tW58A6B8UPFfjTwRovhXxVLcTWf2z4zahr3iC88MWmo22n2+j69olzp1pH+hfxX/4JM/DX4vftVfCbxH4w8E/DjxF+x38Mf2O9N/Zr074V6x4n+IJ+IGlav4Y8W6lq/g/UfD2sW9v/AGra2OjaHPZ6cfFK/Euz8YTk6jZ3Ud5aX13LefW+u/8ABOX9ifxJ+z/4d/Zd1f4AeFpvgf4T1xfE/h7wha6r4t0y/wBN8SgzibxEnjfS/EVl4/n16+iuZ7TVdYuvFM+o6xp8jabqlzeWAFsO+vKGIhiasYOnRxuOzmc8C+SFWeHxHiFi84w2IrVHGrDBYrC8PwjhMtpUPb4OrQx7p4mj9VoQwcuKnGVF4am5qdXC4DLIwxa5pU6WJhwpmOAxNKnTi6csZRxWZ47CVcwnXdLE4evlNGrha0q8qeJp/gp8D/jf+2/of7OP/BVP4Pat8afFXwy+IfwZ1X4MaH8NNW/am/av+GPxA8d/DjxB8RpNQ07x/wCDP+GrNSuvBPgODxFrmg6TFD4Ju0k0DTvBni/UIrPS7jSvE6alq9d3+w1+0F8e/Amu/tefCf4h/Fr9rT4Q/F5f2YvHXxI+GHg7/goD4x0b4teAPC+s+B5pvD+k/Grw1+1J4oi8BaPd+Ab/AMQX88Fxp0HwotfhfdabpqeIk+I/jf7ItlD+2HgP/gnL+xP8M/CvxT8D+CP2f/C2i+DfjX4P8I+Bfij4WOqeLdT0DxdoHgTTZtM8LSXmlav4h1Cys/EenJcXGpy+NNKhsPGep+JZ5vF2ra/feKZH1gy/s+/8E6/2LP2Wx45HwR+Anhjww3xJ0BvCfjeXW9W8W/EWfXvCkwlW98Lz3HxL8ReMJ7Xw3qwlzrug6fJaaVrzW9i+s2l+2nWBtsqqdRY+Lm39b4cp5U6seelUnjqWU4zLViIyUqk8LGdaWCxk6qWIneFSS5MxisVK42jLDSUI8uH4glmsaD5Z0lhamMyjFyw1SL5Y4mCp4bMsKsO50YNYpJSWBrV8NT/Bz/gnL8ffjn8Kf2qvhZ4a/ai+Kn7bmg2PxP8Ahp4qtrJvjT8TNN/a1/Zd+PWo6L4BX4iav8Q/gz8ZdFutA8OeA9H8PQ29jqFhafDiP49xXdnq3/CM+IfiVoaiUah5r4K/aM/amT9oT9in9oHwN8af2zPH3wt/aV/assvh/qfjr41/Er4e+AvgH8T9I1jx7rfhfxh4T+Ff7D2heJvHWt+CfC3h3wo1l/Y3xG1zxtJAuu2c89h4Z8O67c6Q8f8AQl8Cf+CZP7Cv7NXxAu/ij8GP2e/DvhXx1d6Xq+jDXNQ8R+PPGgsNO15TFrEGh6X488V+JtG8OvqFm82l3F1oOnabdnRbu/0RZ10jUL2yuOU8K/8ABJP/AIJ3eB/E9r4z8Jfs0+H9A8Vad8Q/C/xT0fXNP8ZfE6K/0Dxn4N1LUdX8PXXhqVvG7Dw1odrqOpzXN14M0FdO8F6u1noiaz4f1CLw54fTTOqjWhHH5Ti6sF7PA04xr06cIKE4Vc6xGKxWGdBuVOrCeVYhYaE4zp0VVoKjGnTwToUKeFelOWDzfD06jdTHyrSpVaspuca39j18LhcVGquSpQdPMvq+LnSlCrUeteU6mJpc1X8X/Een/tGfFXwP/wAFefjWP24v2vPATfsi/tGfHW5+DfgHwB8XNW0Twfax+FZdQ1iTRPELSfa/EF/4ObS7PTNF8O+CtG1vw74a8Kvb3up2+n6hLqt1bDuf2if2hvjj+0b4b/Zr8M+Bvi7+1rq/xih/YD+H/wC0z8QPhZ+yl46+Hf7KHhuPX/FFlod54m+K/wAY/wBprxd4guLfT/Ddvost7JpPwi0P4X6vbz6ibO6tPEfh9tSaOH947L9jT9m3TvCv7Qvgmz+HHk+GP2q/EPirxV8e9M/4TDx7J/wnmv8AjW3ltfE9/wDbZfFD6h4X/tOCaVPsvgy78O2Vlu3afb2jqrDyvxx/wTF/YR+JV58H7/x5+zt4Y8UXPwI8I+FPAPw2Oqa945lhsfBXgg258LeF/FNqnimO1+JOi6UlssCWPxKh8XQ3VrcahaXy3NtqmpRXflxoVP7OwuBc0nRwfD8JVE5ylDMcu4SzvKcwxkajbq1I4nPcRk2OnGdT2mKw2CnUgsDj6VKuehUrQeMq4yFO7nic7fs5KMYVMBjc24cxmAwcopeypSo4LLs5w8asafLha2Zc03jsJWxWFl5R/wAE3fGXxo/aj/4JnfA/xF48+M/j/wAIfFbxRout6XP8aPCFr8OtZ+Iy2Hgn4o65oukak4+Kngb4oeBdX1nXPCvhyz0PxJqvinwVruo6jDqGp6uHs/Fc0GvWn17/AGhaf9APS/8Av9rX/wAuK7D4GfAn4Vfs2fDTQ/g/8FfCx8F/Djw3cazdaH4a/t3xJ4ii02XxBrF9r+rCDUfFmsa7rBhutX1K+vVtpNRe2tmuHitIoIAkS+d162Pr0sTjMTiKMHSp16ntY03GEXByp4f2icaaUNa0a8rwUYy9pzqEOdwh5uEozw+Hp0Jz9q6TrRU7z96n9ZxUqH8SU5x5cPPDw5JzqSp8ns3VrezVWp8sft4XlvL+yl8VI49KsLZ2/wCEHxNDJqjSpj4keD2O0XGpXEJ3AFG3xP8AKxK7X2sv851f0Rft0/8AJq/xS/7kj/1Y3hCv53a/uD6MX/JB5t/2VeO/9VWTn8O/Sd/5LzKf+yUwP/q1zgKKKK/o0/nIKKKKACiiigAooooAKKKKAJreL7RcQQbtnnTRRb8btvmOqbtuV3bd2cZGcYyOtQ1NbxfaLiCDds86aKLfjdt8x1Tdtyu7buzjIzjGR1qGvNhXvnOIwv13m5MnweJ/sz6vb2Ptc2zDD/2l9ct7/wBZ9j/Z/wBU5v3P1P61Ze3u/cqYTl4YweP/ALK5PacS5ngf7d+u831n2HD2TYz+xP7N5v3X1H61/bP9o8q+s/2n9Q5n9T5YlFFFekeGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX9If7Cl1BD+x38HRJp1ldH+0viau6eTUFOR4+1hzJ/o1/brvZZEiYbdmyCIqiyGaSb+byv6Nv2G/8Akz34O/8AYU+J3/qd6nX85fSd/wCSDyn/ALKvA/8Aqqzg/o36MX/JeZt/2SmO/wDVrk59bf2haf8AQD0v/v8Aa1/8uKP7QtP+gHpf/f7Wv/lxWXRX8KH91nTaVfWrXMoXR9NjI03WG3JLq5JCaRfO0Z8zVZF2SqpikIUOEdjE8cgSRTR761fV9KRdH02Jm1KxVZY5dXLxlrmICRBLqskZdCdyiSORCQN6MuVObo//AB9zf9gvXP8A0y6hRof/ACGtH/7Cmn/+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfL9fUFfL9AHiv7RPwq8Q/Gz4NeNfhp4VvNG0/XfEFvo9xZXfiC4vrXSYk8OeItI8UXwup9O07VbxHl0/RbqG1EVhMHvJLeOZoIHkuIvyi/4dnfHf8A6Gz4Sf8Ag+8Y/wDzBV+g37fHirxR4J/ZL+LPibwZ4k1/wj4k05PBEen+IPDGsajoGt2Kaj8SPB+maglnqulXFpf2yX2m3t5p14sFwgubG7ubSYPbzyxv/Nh/w03+0l/0cJ8cP/DsePf/AJf1/UPgp/xEP/VbH/6p8QcN5Tl39vYn22Hzjh/EZriZ4z6hl3tK0MRSxmHjChKj7CEaLg3GcKk+ZqaS/lzxtn4eR4qwC4t4e4kzbMf7Bwzo4jJ+IMPlOGhg/r+Y+zozw9XB4iU68a3t5yrKajKE6cFFODb/AFJ/4dnfHf8A6Gz4Sf8Ag+8Y/wDzBUf8Ozvjv/0Nnwk/8H3jH/5gq/Lb/hpv9pL/AKOE+OH/AIdjx7/8v6P+Gm/2kv8Ao4T44f8Ah2PHv/y/r9ht41f9FpwN/wCIZjP/AJ5n477TwU/6Irjr/wATTBf/ADsP1Ruf+CY3x6tZFik8XfCEs1va3AKa94zI2XlrDdxA7vAKnesc6LIMEBwwVmUBjX/4dnfHf/obPhJ/4PvGP/zBV+XL/tP/ALS0hDSftD/HORgkcYZ/i14+YhIkWKJAW8QEhI40SONeiIqooCqAGf8ADTf7SX/Rwnxw/wDDsePf/l/Rbxq/6LTgb/xDMZ/88w9p4Kf9EVx1/wCJpgv/AJ2H6k/8Ozvjv/0Nnwk/8H3jH/5gqsL/AMExvj01rNdjxd8IfLguLa3dTr3jPeXuo7qWMqP+EBKlAtnKHJYEFo9qsCxX8rv+Gm/2kv8Ao4T44f8Ah2PHv/y/p4/af/aWCNEP2h/jmI3dJHjHxa8fBGeMSLG7J/wkG1njWWVUYglRJIFIDtkt41f9FpwN/wCIZjP/AJ5h7TwU/wCiK46/8TTBf/Ow/Ub/AIdnfHf/AKGz4Sf+D7xj/wDMFR/w7O+O/wD0Nnwk/wDB94x/+YKvy2/4ab/aS/6OE+OH/h2PHv8A8v6P+Gm/2kv+jhPjh/4djx7/APL+i3jV/wBFpwN/4hmM/wDnmHtPBT/oiuOv/E0wX/zsP1J/4dnfHf8A6Gz4Sf8Ag+8Y/wDzBVYuv+CY3x6s7q5tJfF3whaS1uJreRo9e8ZlC8EjROULeAVYoWUlSyqSMZUHgfld/wANN/tJf9HCfHD/AMOx49/+X9Pk/af/AGlpXeWX9of45ySSO0kkknxa8fO8juSzu7t4gLM7MSzMxJYkkkk0W8av+i04G/8AEMxn/wA8w9p4Kf8ARFcdf+Jpgv8A52H6VeJ/+Cd/xo8JeGvEPivVfFPwvl0zwxoereIdSi0/WfFc9/JYaLYXGpXkdlBc+C7O3mu3t7aRbaKe7tYZJiiS3MCFpV3P+HZ3x3/6Gz4Sf+D7xj/8wVfmPpH7Rn7SWq6tpml/8NE/HCD+0tRsrDz/APhavj2XyftlzFb+b5X/AAkUfmeX5m/y/Mj34271zuGd/wANN/tJf9HCfHD/AMOx49/+X9cUa/jM8yq4Vce8EOtDLsNipYP/AFIxqhTpVcfjMNDGKr/aCUp1qtCphXS9q3GOHjU9lFT9pP150PBiPD+FzB+HXHEaNXPsfgI5t/r5gnOvWw+SZVjZ5U8J9QbhDCUsVTzNYv2MVWlj5YX2s3Q9lT/VFv8AgmN8eltYbs+LvhD5c9xc26KNe8Z7w9rHayyFh/wgIUIVvIghDEkrJuVQFLV/+HZ3x3/6Gz4Sf+D7xj/8wVflyf2n/wBpYosR/aH+OZjR3kSM/Frx8UV5BGsjqn/CQbVeRYoldgAWEcYYkIuGf8NN/tJf9HCfHD/w7Hj3/wCX9dtvGr/otOBv/EMxn/zzPI9p4Kf9EVx1/wCJpgv/AJ2H6k/8Ozvjv/0Nnwk/8H3jH/5gqsW3/BMb49XUjRR+LvhCGW3urgl9e8ZgbLO1mu5QNvgFjvaOB1jGAC5UMyqSw/K7/hpv9pL/AKOE+OH/AIdjx7/8v6en7T/7S0ZLR/tD/HONikkZZPi14+UlJUaKVCV8QAlJI3eORejozIwKsQS3jV/0WnA3/iGYz/55h7TwU/6Irjr/AMTTBf8AzsP1G/4dnfHf/obPhJ/4PvGP/wAwVH/Ds747/wDQ2fCT/wAH3jH/AOYKvy2/4ab/AGkv+jhPjh/4djx7/wDL+j/hpv8AaS/6OE+OH/h2PHv/AMv6LeNX/RacDf8AiGYz/wCeYe08FP8AoiuOv/E0wX/zsP1J/wCHZ3x3/wChs+En/g+8Y/8AzBVYuf8AgmN8erWRYpPF3whLNb2twCmveMyNl5aw3cQO7wCp3rHOiyDBAcMFZlAY/ld/w03+0l/0cJ8cP/DsePf/AJf09/2n/wBpaQhpP2h/jnIwSOMM/wAWvHzEJEixRIC3iAkJHGiRxr0RFVFAVQAW8av+i04G/wDEMxn/AM8w9p4Kf9EVx1/4mmC/+dh+o3/Ds747/wDQ2fCT/wAH3jH/AOYKj/h2d8d/+hs+En/g+8Y//MFX5bf8NN/tJf8ARwnxw/8ADsePf/l/R/w03+0l/wBHCfHD/wAOx49/+X9FvGr/AKLTgb/xDMZ/88w9p4Kf9EVx1/4mmC/+dh+qMP8AwTG+PU8d1Kni74QhbO3W4lDa94zBZGura0Ajx4BIL+ZdRsQxUbA53FgqtX/4dnfHf/obPhJ/4PvGP/zBV+XK/tP/ALSyCRU/aH+OarKgjlVfi14+USIHSUJIB4gAdBJHHIFbIDxo+NyqQz/hpv8AaS/6OE+OH/h2PHv/AMv6LeNX/RacDf8AiGYz/wCeYe08FP8AoiuOv/E0wX/zsP1J/wCHZ3x3/wChs+En/g+8Y/8AzBUf8Ozvjv8A9DZ8JP8AwfeMf/mCrnP+CW/xh+LnxB/aA8YaN49+KXxG8b6Pa/B3xBqdtpPi/wAb+JvEum2+pQ+Nfh9aQ6jBY6zqd7axX0Vre3ltFdxxLcR293cwpII55Vf96q/HuNfGHxX4Kz2pkOKzjhjH1qeEwWMeJwvC9OjRccbTq1IQVPE5hKqpU1Rak2+WTknHRM/Y+CfB/wAJ+Nshp59hMn4ny+jUxmNwaw2K4oqVqylgqlGnObqYbL40nGo6ycElzRUWpatH4gXX/BMb49Wd1c2kvi74QtJa3E1vI0eveMyheCRonKFvAKsULKSpZVJGMqDwK/8Aw7O+O/8A0Nnwk/8AB94x/wDmCr929c/5DWsf9hTUP/SuasuvlP8AiY3xP/6C8g/8RzB//N59Z/xLl4Yf9Amf/wDiR4z/AOYD8OP+HZ3x3/6Gz4Sf+D7xj/8AMFX60/s5/DPXvg7+z58PPhz4mu9Ivtb8O6p46+23WhT3l1pUv9r+ITrtt9ln1Cw0y7fZaapbxz+dYwbblJkj82JUmk9erUm/5Aun/wDYU1j/ANJNDr5PjHxY4x47yyhlHENfLKuCw+Op5hSjgspoYGqsTSoYjDwcq1LE1pSp+zxNVOm4pOTjLmTik/reDvCfg7gTM6+b8PUMzpY3EYGpl9WWNzavjqTw1Wvh8RNRo1cNRjGp7TDUmqik2oqUeVqTay6KKK/NT9JNTR/+Pub/ALBeuf8Apl1CjQ/+Q1o//YU0/wD9K4aNH/4+5v8AsF65/wCmXUKND/5DWj/9hTT/AP0rhoA+jKKKKACiuF+HXxK8E/Fjw5P4t+H+tf2/4ftvFPjnwVNqH9natpWzxN8NfGuv/Dvxrpn2TWrDTb1v7F8Y+F9d0f7Yls2n6j9h/tDSbu/0u5s764l8UfEXwZ4L174d+GPE2uRaXr3xX8V3/gj4f6c1pqF1L4i8T6Z4K8WfEO/02J7K0uYLBbXwd4H8T6xJf6rLYab/AMS1LBbxtU1DTLK9aTbpxSblV9n7KK3qe2orEUeRbz9rh5Rr0+W/PRkqkbwdw/n/AOnftVU/6d+wnOnW5/5fZVKdSFTmtyThKMrSi0drRRRSAKKKKACiiigAooooAKKKKACiiigArD8TeJ/Dfgvw/rPi3xj4h0Pwn4V8O6ddav4g8TeJtWsNB8P6FpNlE097qms6zqlxa6dpmnWkKtNdXt7cwW1vErSSyogJG5X8xH7RPxb/AG2P2vfg3/wVC+JHhX4+eAPhr+zb+zrrHxt/Z9/4Zp1L4UaFrOo/Ejw/4F8NXNp4y8XeIfidqEml+NvA/iW803Vodf8AB8Wk3mpaJf8AiTTYNB1LRrPR7W+ufEHJisRKjTxLpwUp4bL8RmNWVRuNCjhqGKwGCVStKHNWaq4zMcPhoRoUq1RTn7WpGnhqVaqunD0FVnR55OMK+OwuX04wSdaticVSx9enSoqdqSkqOX4itOdapSpRhBR53VqUoP8Apg8P+INA8WaFo3ijwrrmkeJvDPiLTLHW/D/iLw/qVlrOha7o2qW0d7pur6Nq+nT3On6npmo2c0N3Y39lcT2l3bSxz28skTq55X4k/Fr4VfBrQrfxT8X/AIm/D74U+GbvU4NEtPEfxJ8Z+HPA2hXWs3Vtd3ltpFvq/ifUtL0+bU7i0sL66gsI7hrqa2srueOJoraZk/mD1z9ub9qnwr4N/Yl/ZU/ZlvPjh4UtfC/7AX7P3xY8aeKP2bv2TPC37YHxU1XVtf8ACmjaPp2hal4D8d+KvCfh7w18PrDTltb298WWNzcauPEV5pulbZbS7mjt8v8Aahtf2rf22NO/4JU3nx5urj4A+OviH8U/G/wq8RfC/wCK/wCy94b1zTdI+Inh2TUEf416j8OPiskf/CS6R478IroKP8NvEtgvhCzvobq/0maeF4GPpYmhKONqYXCPnpx4jjkdKriV7OVWg87zrI3joU6bXtP9ryTE0fYQbnGcoYipGGBlGrHhoVoPDqti2qclk9bM6sKDdSNOrTwGHzGGEnKUZyg3hMXh6860oezinPDQc8bOlCX9YOk6tpWvaVpmu6Fqen61omtafZ6to+saTeW2o6Vq2lajbR3mn6npmoWck1pf6ff2k0N1Z3lrNLbXVtLHPBI8Tqx0K/k21D/gpB/wUM134lfEnXv2c/BPx+8XfDT4FfGG++D3gr4E/Br9g/RfiJ+z/wDEDwj8MtV07QNS/wCE6+P+j+IR8R/hp4y1nRTe6o3hTwN4Lu9I8PJH4VtLBLKx1O+a0+zfFvxn/wCCgnx4/bS/bU+CXwK/ad0f9nL4f/A/4RfBf4peGtM8VfAT4f8AxD8WaPq/ir4XaJ4luvBCHXLCzbT7XX9Zv9Xl8X614nl8Z6n4duLDTLLwto8VtJqEQ5Kleh7BY2i6jwdTC5nmdOVVQjXhlOX5TT4hhja1NcnMsRkeIoYuEcNTqONf2mCqQp4l0adTopUa7rPCVlCGMpVMBg60IOU6TzLGZrh8gqYOlNOpaVDO60sI5V6kIVKUKmKpVKlChiKi/fyvl+vnz9g74/fH/wDbA/4J5/CX4yw+J/hz4O+Pni/S9W0u68Z+K/hxq/jzwHPqXgf4k6t4Q1bX9X+G3hP4ifCC+urvxV4f8OXc7WWhePPDGmaL4l1ZdTtLS40TT18L3X0v52i/9A/VP/Bxaf8AyjrsxWGnhMTXwtRxlOhUdOUoNuEvdpzjKLkoy5Zwq0ppSjGS5nGSUoSRzYevDE0YV4KUYz51yzSU4Tp1a1GpCXK5RbhVoVYNxlKEuVShJxlFnwX/AMFH/wDkzD4y/wDdPP8A1a3gav5X6/qv/wCCksmlt+xX8Zxb2d/FMf8AhXWySbUre4iX/i7HgUtuhj0q2d8puVcTJtYhjuClG/lQr+wPo9f8kZmf/ZS4z/1W5Ufxx9In/ktcs/7JnB/+rPNQooor94PwQKKKKACiiigAooooAKKKKANDSLD+1dW0zS/N8j+0tRsrDz/L83yftlzFb+b5W+PzPL8zf5fmR78bd653DPrQ0iw/tXVtM0vzfI/tLUbKw8/y/N8n7ZcxW/m+Vvj8zy/M3+X5ke/G3eudwz68+Na+b18N9c5uTKcJiP7O+r29l7TM8fQ/tD61b3/rHsfqP1W/7r6p9Zsvb3ft1MLbhrCY7+y+T2nEeZYL+2/rnN9Y9hkGT4z+xf7O5v3X1L6z/a/9ocq+sf2l9R5n9U5UUUUV6B4gUUUUAFFFFABRRRQAUUUUAFFFFAH6of8ABIj/AJOS8b/9kP8AEv8A6nvw0r+jCv51/wDgkA1qv7S3jg3cNxPH/wAKM8ShUt7mO1cP/wAJ98M8MZJbW8UoFDAoIlJJVhIApVv6PPO0X/oH6p/4OLT/AOUdfxH48f8AJw8V/wBiXIv/AFFxh/cPgJ/ybrC/9jvPv/UrBBrn/Ia1j/sKah/6VzVl102sS6QNX1US2OpPINSvhI8eq2saM4uZd7JG2jytGjNkqjSyFQQpkcjcc3ztF/6B+qf+Di0/+UdfjZ+zmXWpN/yBdP8A+wprH/pJodHnaL/0D9U/8HFp/wDKOtKWXSP7IsSbHUjGdS1UIg1W1Dq4ttH8xmk/scqyMpiCIIkMZSRmkkEirEAczRWp52i/9A/VP/Bxaf8Ayjo87Rf+gfqn/g4tP/lHQAaP/wAfc3/YL1z/ANMuoUaH/wAhrR/+wpp//pXDWlpUukG5l8ux1JW/s3WCS+q2sgKDSL4yqFXR4yHeMOkb7iI3ZZGjlVTE5o8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3AA96ooooA/l+8N/wDBPL9rMXP7R+n/AAw/Z6l/Zh+O3jCD/gqBNqX7ZsPxV+EVhN+0F4c/aU+Lvi7xN+yx8O4ta8AeJviF8WrKXwPZat4f8Txv8U/hlYeFvg0/h4P4Jj8Q6z4r8TaJBe/Z/wD+CbPjH4d/8M6+MLL9in4hJpvw3/bYk+JGh/DP49S/8Ew9O8RfBvT9b/ZO8afDm6+OHhn4d/sQ+Dfgb+zt8L/CemfG+f4Z674lX4S+LfiF8f8Axk3w+0L4rr4atfGel6Z4fsb/APw8K/a2/wCiu/8AlhfDH/5jKP8Ah4V+1t/0V3/ywvhj/wDMZX9HUfoq8e0MPTw9LPOE4eyweGwdOtDMM0hXpRwuCnl9OpQlHI+TCyjQkq9GjhaVHDYPNfbZ1g6VHM8dj6mK/m2v9KjgDEYiriauScVydbGY/GVKUssyiVCc8wTdaFSk87SrQ5pOnOVadSrisvjRybGTrZThcHQwvsX/AAR2/ZF/aN/Zq+M/x68YfFL4BeMPgR4Q+MfwB/Zzl8UaX4hf9jSy0rVf2m/B/i3443fxiu/DOn/ss+KPGvjXxT4Xey8b+G5PCfxc/ah+Inxo/aY+ImhNFL8aPjF4k8UaTDZ2H9AVeZ/BXxDq/i74N/CXxZ4gvP7Q17xP8MvAfiHW7/7Pa2n27V9a8LaVqWpXn2WxhtrK2+03lzNN9ntLe3tYd/l28MUSpGvplfgWaQq0MZVy+tHDxnlE8Tk9sLGUcOo5bmOb0IwoRk7xw9Fyq4bBU0kqOXYbLsOl/s/NP+hcBXpYzDUsyo+25M3pYTNkq7g63+35fl1dSrOEYqWJqU6lGrjarvPEY+eNxNSUp4iTRRRRXnHaFFFFABRRRQAUUUUAFFFFABX5TfGT/gj7+zX8Y/Hvxj8aSfEb9pb4ZaN+0AZ9R+MXwo+Efxcj8IfCH4g+L3tr8Wvj3xP4Ln8M6uus+J9O1m9j8VWcWo6hdeGT4lsor288OXlte63Zar+rNFZypU5yU5QjKSp1aN2nrRrqn7alJXUZ06jo0JunUjUgqtChXjCFehRr0rjUqQi4xm4xlOlUaVtKlF1XSqRduaFSn7asoVKcqdSMa1aCn7OtVp1PzH+I/wDwSn+A3j7RPgba6L8T/wBpH4N+MvgL8HNI+AXh74ufBD4oaf8AD74oeLPhToul2+m2nhPx9rVr4RvdH1qwdoJdQuk03w/oiz3t7dxso014dPh9Psf+CeH7PWh6P+yJ4d8JReMPB3h79izxXf8AjT4VaLoGsaUbTW9e1e2lj1q6+IE+s6Bq+o642s31ze63qMuk33h66m1e+upluY7UxWkX3TRW/tantKlXnl7SrmEc1qTvrLMYYrFY2OK2tGccbjsbjFCCp4f63i8TinhHiK9WvPF06bhGm4J04YOpgIwd+VYOrRp4epQtfVSw9GlhnUlzV1hqVPDRxMcPCNCP5Z+Pf+CQ/wCy/wDEH4s+LviNqXiv4+aP4M+I/wAQNM+KfxR/Zt8M/FJtH/Zr+J/j3TbuDUZPEfjj4croM99qd7qeq21vqmoC28TWMP2yFfsEVjbPLbyfUHhb9j74ZeEfj9+0N+0Zpes+N38a/tK+DvBngjxxo91qPh9vCWjaR4G8Nw+F9Hl8H6fb+GbbVtOvptOgSS/k1fXNetZLvL2tpaQYtx9WUVgqVNYdYRQisNHD47CKjryLC5lglluOw9ruTo18ujHAcjm1RwUYYXCfUqEIUobe0qe3liud/WJVcJXdbTndbA42nmWFq7cqqUsxpU8c5RhF1sXCOIxTxdW8387fspfszeA/2PvgR4K/Z6+GmreLtc8F+BH8RyaRqfjq/wBG1PxRct4n8Uaz4tvxqV7oGg+GdKmEOo65dwWf2XRbMx2UdvHMbidJbmbIr6gr5froq1alepOtWnKpVqNSnOVnKTUYQTdlFX5adOOiWkF5t406dOlBU6cFCCc5KMb2TqVKlWb1b1lUq1JvX4pytZWS+H/+Cj//ACZh8Zf+6ef+rW8DV/K/X9fn7VfwZ8UftBfAL4g/CTwZf6BpniTxRb+H7jT73xPdajZaJCnhfxZoPi/UBeXOlaXrV/G82m6BeQWYg024El9JbRTNb27y3MP4p/8ADoj9pL/od/gf/wCFJ49/+dpX9P8Agnxlwrw9wrj8FnmfZfleLq59icTTw+LqVoVJ4eeAy6lGtFU8HiI8kqlKpBNzT5oS91Kzf8t+N/BnFfEXFeX43IsgzHNMJSyDC4WpiMJTozpwxEMfmNWdGTqYzDy5406tObSg1yzj7zd0vyvor9UP+HRH7SX/AEO/wP8A/Ck8e/8AztKP+HRH7SX/AEO/wP8A/Ck8e/8AztK/Yf8AiKHh5/0WGS/+DsV/87D8b/4hb4i/9Ednf/gnC/8AzzPyvor9WLn/AIJAftLWsixSeOPgYWa3tbgFPEvj4jZeWsN3EDu+Ganesc6LIMEBwwVmUBjX/wCHRH7SX/Q7/A//AMKTx7/87Sj/AIih4ef9Fhkv/g7Ff/OwP+IW+Iv/AER2d/8AgnC//PM/K+iv1Q/4dEftJf8AQ7/A/wD8KTx7/wDO0qwv/BID9pZrWa7Hjj4GeXBcW1u6nxL4+3l7qO6ljKj/AIVmVKBbOUOSwILR7VYFip/xFDw8/wCiwyX/AMHYr/52B/xC3xF/6I7O/wDwThf/AJ5n5T0V+qH/AA6I/aS/6Hf4H/8AhSePf/naUf8ADoj9pL/od/gf/wCFJ49/+dpR/wARQ8PP+iwyX/wdiv8A52B/xC3xF/6I7O//AAThf/nmflfRX6of8OiP2kv+h3+B/wD4Unj3/wCdpVi6/wCCQH7S1ndXNpL44+BjSWtxNbyNH4l8fFC8EjROULfDNWKFlJUsqkjGVB4B/wARQ8PP+iwyX/wdiv8A52B/xC3xF/6I7O//AAThf/nmflvpFh/auraZpfm+R/aWo2Vh5/l+b5P2y5it/N8rfH5nl+Zv8vzI9+Nu9c7hn1+m/iP/AIJUftAeE/D2veKtZ8a/B1tH8M6LqniDVl0zXPGt3qTabo1jPqN8unWl34B061ur42ttKLS3udQsLea4Mcc15axs06bP/Doj9pL/AKHf4H/+FJ49/wDnaVxR8UeAP7SqxfHOTOisuw0o4LlxKjTrPH4xTxixf9m3nKtSVPCPC7Uo4eOJ3rs9efhR4gLh/DV14e5zGtLPsfRlm/t8NKVejDJMqrQyl5d/adqUcJVqVM0WYWviJY+WAvbCI/K+iv1Yb/gkB+0strDdnxx8DPLnuLm3RR4l8fbw9rHayyFh/wAKzChCt5EEIYklZNyqApav/wAOiP2kv+h3+B//AIUnj3/52ldv/EUPDz/osMl/8HYr/wCdh5H/ABC3xF/6I7O//BOF/wDnmflfRX6of8OiP2kv+h3+B/8A4Unj3/52lWLb/gkB+0tdSNFH44+BgZbe6uCX8S+PgNlnazXcoG34Zsd7RwOsYwAXKhmVSWB/xFDw8/6LDJf/AAdiv/nYH/ELfEX/AKI7O/8AwThf/nmflPRX6of8OiP2kv8Aod/gf/4Unj3/AOdpR/w6I/aS/wCh3+B//hSePf8A52lH/EUPDz/osMl/8HYr/wCdgf8AELfEX/ojs7/8E4X/AOeZ+V9Ffqh/w6I/aS/6Hf4H/wDhSePf/naVYuf+CQH7S1rIsUnjj4GFmt7W4BTxL4+I2XlrDdxA7vhmp3rHOiyDBAcMFZlAYn/EUPDz/osMl/8AB2K/+dgf8Qt8Rf8Aojs7/wDBOF/+eZ+U9Ffqh/w6I/aS/wCh3+B//hSePf8A52lH/Doj9pL/AKHf4H/+FJ49/wDnaUf8RQ8PP+iwyX/wdiv/AJ2B/wAQt8Rf+iOzv/wThf8A55n5X0V+rEP/AASA/aWnjupU8cfAwLZ263EobxL4+BZGura0Ajx8MyC/mXUbEMVGwOdxYKrV/wDh0R+0l/0O/wAD/wDwpPHv/wA7Sj/iKHh5/wBFhkv/AIOxX/zsD/iFviL/ANEdnf8A4Jwv/wA8w/4JEf8AJyXjf/sh/iX/ANT34aV/RhX5Q/sK/sK/Fz9mL4t+IvHvj3xF8OdX0fV/hzq/hC2tvCGr+Jr/AFJNSv8AxN4Q1mGeeHWfCGgWq2K2ugXkcssd5LcLcS2yJbPG8ssP6vV/JnjFnOVZ9xviMxybH4fMsDLKsnoRxWFlOVF1qGHxUK1NOpRoS5qcpwjJezSTkrSluv648G8lzbIOB8Pl2dYDEZbjoZtnNeWFxUYRrRo4jEYWdGo1TrV48tWMJyg/aNtRd4x2eprn/Ia1j/sKah/6VzVl1qa5/wAhrWP+wpqH/pXNWXX5cfqYVqTf8gXT/wDsKax/6SaHWXWpN/yBdP8A+wprH/pJodAGXRRRQBqaP/x9zf8AYL1z/wBMuoUaH/yGtH/7Cmn/APpXDRo//H3N/wBgvXP/AEy6hRof/Ia0f/sKaf8A+lcNAH0ZRRRQB/EL/bR/56f+hf40f20f+en/AKF/jXIeNLzwDY6pbw/DzxR4v8U6K1hFJdah408F6L4C1SHVDcXSz2dvo+h/EH4j2lzYR2iWU8WpSa5a3E1xcXVq+lQRWcN5fUPDGoeFbvXLG38aa54g0Dw1J9p/tLVvDHh3TvF2uWmyzuHs/sPh7VfFngiw1Dz79bW2uftHifTPslnNcX0X22a2j0+7/wBXY5vGWH+sqOKUfZyq+ylh6scVaKk+T6o37b2r5Xy0b88m4pP3kf5OyyeccR9WcsM5e0jS9rHEQlhbycVz/W0vY+xXMuatbkilJte4z+0n9mV/N/Zu/Z8k6+Z8EPhQ+fXf4D0Bv617fXwlqnjTU/h3/wAE8/BPif4YeJr/AEm7tvgB8GNH8KfEHV9A8OQal4S03xRovgrwrB8TtW8Mazq2v+EoLrwTo+sv461LQtU1fxF4ehk0aewvLnX9OWT7b5po/wAYPjH4X/ZR/aat7/4x6n4/8efBL4x+L/gZ4d/aN8ReGvhXZ+J5NIuNb8F6cvxR8aeHvCnhjwV8FbzxP8HY/Hmq2/iWPRvA3hrwbqV58NrltW8HWtxNrGjt/lnnlb2+f8S+zpzlUpZxmNaNOfLSnWljOIquHhRj7SVqVWnVzrK1VVdJJYmpyKbwmIVT/U3JILD5DwzGrOChVyTARlUg/awpU8Bw7QxFWtLks6tOdLJszdH2PvVHhqfwrGYZx/Tiiv5/fiv+3j+0X8B0+F3wVt/EHxj+Llxov7dnhr4P/EL9rNP2V/FHxPtPE/wb0746fAvwlqvw78Z6l+zd8Fh8CvAPxw8Xx/F/WvAh1yTwr8ONBl0v4WeL4fDHh/TPi14g8KWKf0BV59NRrYWnjaM1Uw1atKjRqWlCVTlwGV5h7T2U37SnCVHNaMIqolOVShinFTowpV8R6bk4Vnh6kJU68Kc51INxkqbp47G5fOn7SF6dSSq4Kc7024KlWoc3s60p0aRRRRSKCiiigAooooAKKKKACiiigAooooAKKKKACvl+vqCvl+gD44/b/wDFfinwR+yN8W/E/gvxLr/hDxLpyeBo9P8AEPhfWdR0DXLFNR+JXg7S9QSz1bSbm0v7VL7TL28068WC4QXVjd3NpOHt55Y3/mh/4ag/aW/6OH+Of/h2vH3/AM0Ff0f/APBSf/kyr40f906/9Wx4Er+U2v688Asty7GcH5lVxmXZfi6seI8XCNTF5fgMVUjBZdlklCNTFYHE1IwUpSkoKooKUpNQTlJv+Q/H3MsxwfGGW0sHmOYYSlLhzCTlTwmYY/C05TeY5nFzlTwuOw1OU3GMYubpubjGKc2oxS9z/wCGoP2lv+jh/jn/AOHa8ff/ADQUf8NQftLf9HD/ABz/APDtePv/AJoK8Mor9w/sPI/+hJkv/hmyf/50n4f/AG5nn/Q7zr/w85x/89j3Z/2o/wBpqQhpP2ivjtIwSOMM/wAXPiAxCRIsUSAt4gJCRxokca9ERVRQFUAM/wCGoP2lv+jh/jn/AOHa8ff/ADQV4ZRR/YeR/wDQkyX/AMM2T/8AzpD+3M8/6Hedf+HnOP8A57Huf/DUH7S3/Rw/xz/8O14+/wDmgp4/aj/aaCNEP2ivjsI3dJHjHxc+IARnjEixuyf8JBtZ41llVGIJUSSBSA7Z8Joo/sPI/wDoSZL/AOGbJ/8A50h/bmef9DvOv/DznH/z2Pc/+GoP2lv+jh/jn/4drx9/80FH/DUH7S3/AEcP8c//AA7Xj7/5oK8Moo/sPI/+hJkv/hmyf/50h/bmef8AQ7zr/wAPOcf/AD2Pc/8AhqD9pb/o4f45/wDh2vH3/wA0FPk/aj/aald5Zf2ivjtJJI7SSSSfFz4gO8juSzu7t4gLM7MSzMxJYkkkk14TRR/YeR/9CTJf/DNk/wD86Q/tzPP+h3nX/h5zj/57H0Lo37R/7S2r6xpWlf8ADRvxzt/7T1Kx0/7R/wALX8fS+R9tuorbzvK/4SOLzfK83f5fmR79u3emdwzf+GoP2lv+jh/jn/4drx9/80FePaNp/wDa+saVpXnfZ/7T1Kx0/wC0eX5vkfbbqK287yt8Xm+V5u/y/Mj37du9M7hm158cpyN5vXw31DJZcmU4TEf2d/q/k69l7TM8fQ/tD61/ZHv/AFj2P1H6rf8AdfVPrNl7e79qpmWeLhrCY76xnUPacR5lgv7b/wBZc4l9Y9hkGT4z+xf7O/tf919S+s/2v/aHKvrH9pfUeZ/VOVe7H9qP9poosR/aK+OxjR3kSM/Fz4gFFeQRrI6p/wAJBtV5FiiV2ABYRxhiQi4Z/wANQftLf9HD/HP/AMO14+/+aCvDKK9D+w8j/wChJkv/AIZsn/8AnSeL/bmef9DvOv8Aw85x/wDPY9z/AOGoP2lv+jh/jn/4drx9/wDNBT0/aj/aajJaP9or47RsUkjLJ8XPiApKSo0UqEr4gBKSRu8ci9HRmRgVYg+E0Uf2Hkf/AEJMl/8ADNk//wA6Q/tzPP8Aod51/wCHnOP/AJ7Huf8Aw1B+0t/0cP8AHP8A8O14+/8Amgo/4ag/aW/6OH+Of/h2vH3/AM0FeGUUf2Hkf/QkyX/wzZP/APOkP7czz/od51/4ec4/+ex7n/w1B+0t/wBHD/HP/wAO14+/+aCnv+1H+01IQ0n7RXx2kYJHGGf4ufEBiEiRYokBbxASEjjRI416IiqigKoA8Joo/sPI/wDoSZL/AOGbJ/8A50h/bmef9DvOv/DznH/z2Pc/+GoP2lv+jh/jn/4drx9/80FH/DUH7S3/AEcP8c//AA7Xj7/5oK8Moo/sPI/+hJkv/hmyf/50h/bmef8AQ7zr/wAPOcf/AD2Pdl/aj/aaQSKn7RXx2VZUEcqr8XPiAokQOkoSQDxAA6CSOOQK2QHjR8blUhn/AA1B+0t/0cP8c/8Aw7Xj7/5oK8Moo/sPI/8AoSZL/wCGbJ//AJ0h/bmef9DvOv8Aw85x/wDPY/sz/Zz1TU9c/Z7+BOta1qN9rGs6x8Gvhhqmratql3cahqeqanqHgjQ7u/1HUb+7kmur2+vbqaW5u7u5lluLm4lkmmkeR2Y+y14Z+y//AMm0/s8f9kM+Ev8A6gPh+vc6/wA5s6jGGdZzCEYxjHOc4jGMYxjGMY5tmsYxjGKjGMYxjGMYxjGMYxjGMYxjGMf9GcllKeS5NOcpSlLJsolKUpSlKUpZTlUpSlKTlKUpSlKUpSlKUpSlKUpSlKUtTXP+Q1rH/YU1D/0rmrLrU1z/AJDWsf8AYU1D/wBK5qy68w9MK1Jv+QLp/wD2FNY/9JNDrLrUm/5Aun/9hTWP/STQ6AMuiiigDU0f/j7m/wCwXrn/AKZdQo0P/kNaP/2FNP8A/SuGjR/+Pub/ALBeuf8Apl1CjQ/+Q1o//YU0/wD9K4aAPoyiiigD/PN/to/89P8A0L/Gj+2j/wA9P/Qv8a8i/to/3x/30P8ACj+2j/fH/fQ/wr/S767/AHn98v8AM/zT/s/yX3f8A/vy/Zk0PQfGH7GX7PfhrxToukeJvDPij9mP4TaJ4i8O+INNs9Z0LX9D1r4V6BY6to2taRqMNzp+q6Tqlhc3FlqOnX1vPZ3tpPNbXMMsMro3c+H/ANnT9nzwn4L0f4beFvgT8GvDXw78PeCvF/w10DwD4f8Ahh4J0bwXofw5+IN1ZX3j3wBo/hbTtDttD0zwV43vtN0688X+FbKxg0LxLdWFlcazYXs1rA8fI/sav5v7IH7KcnXzP2bfgY+f9/4YeF2/rX0lX+cWeRhPOc+UoQlHEZrm1OvGUYyjXpLNc8UadaMotVqaji8VGNOsqtNRxWJiqajicRHEf6N5G5QyfIXGUozoZTlMqMoylGVGo8pyRTnRlGSlSnP6rhuadKVKcvq2H5py+r4f2HmPhX4J/BnwL8PfDXwj8E/CT4Y+DvhR4Lu9H1Dwd8MfCvgLwr4e+HvhO/8AD3iaDxpoF74a8F6RpNn4b0K70Pxja2vizR7nS9NtZtM8TW0GvWTwapDHdL6dRRXBKc5uUpznOU5upOU5SnKc3GEHOcpylKU3ClSg5ylKbhTpwc3GnTjT74xjCMYQjGEIR5YQhGMIQjzOXLCEIxjCPNKUuWEYx5pSly80nJlFFFSUFFFFABRRRQAUUUUAUtSvotM06/1KZJZIdPsrq+ljgjaWZ4rSCSeRIYkBeSVljKxxqCzuQqgkgV/K940/bU/4Kbaz+wT49/4KP+Fv2m/ht4K8E+L/AInJ4a8H/AG1+CPgDVtQ+F3gu3+KNt4Dt9U8P/ETxDBe32t+Lb3VLKTTdZ8PePPDHia2m8NanqXiHR77RdWOkWWlf1WsMqw2q2VI2t91sgja3DfKeh+VuM8HpX8kXxU/4Jg/tVfEfWfiD8DvAH7IPxD+B/wf+IXxmsvElvrGpf8ABQrwV8Tf2UPhabbxVZXniP4o/DL9nXTvh/4D+IH9qeJ9B0660vSJvFlhrPiHRdF16fSk8OaPtgj0ecIm83w0J/wqjyZQqVH/ALJho0uKslr5w8TTqcmHrLG5FDFYRTqVefBUqGKqRpSji3Kr0c1KGEVWaUo4fFYiriacY8+IxNCWRZvSwdPD8nNXi8PmzwuKnTpU5RxUp4ejUlH2cUv0Zi+M37ZvxJ/4KFftVfDfw9+0xa/C/wDZu/ZV8N/s+/FjxF4Ut/g18NPGXiTxbo2t/DfSvFfiz4b6V4j1bSrfVvD2n+OGXxLfar4suW8T654eurXRrXwta2FpLeQSfDX7M3/BSn/go98XPiZ8H/jFF8P/ANpb4j/B34p/Fe20HxZ8I/DP7DOnw/s5+CPhXq3iS+8L3niv4f8A7VugeJtZ+IvizxD4LhtrLVb+HxZ4e03w1/a//CT6fqmqxafpFl9o/oR+HX7Kvw7+Gvx7+O37RWj6r4t1Lxp+0NoXw08P+OdG1u90O68H2Nj8LfDX/CLaEfDemWvh6y1a0k1DTsya2NY13XIbm5JazisICYD8nfDv/gkR+zD8Nfiv4W+IukeLPj7q/gz4f/EbUPi18M/2bvE3xTfV/wBm34afEa8uJ7y18WeDPh0dCt76x1bRb66ub3SZ7/xLqXl3EzfbRfQxwxRa4JxoYrKXiEqmGw+CpfXOZe1U8c84zbEZjGtF/vcXTx2TVMoy7BypuEMBOhUnD6pN1MbW8+pGrPLsRTTccbOGDpU5KXLLkpcLZJgoShUT9lRqYXiWnnOZ4uc1OpmMJ0pTeKhKOBn+S3i//gpt/wAFEvHnxn+Mfjv9nvwZ+0V4z+Hnwk+O/iD4aeEvgb8K/wBiDT/i58D/AIh+F/AfiG00zV3+JH7Str4jb4q+CPH2uaRcX+q3eieEvB19Z6XInhhYfsdtq+ova/W/i34z/wDBQT48ftpftqfBL4FftO6P+zl8P/gf8Ivgv8UvDWmeKvgJ8P8A4h+LNH1fxV8LtE8S3XghDrlhZtp9rr+s3+ry+L9a8Ty+M9T8O3Fhpll4W0eK2k1CIfWHj3/gkP8Asv8AxB+LPi74jal4r+Pmj+DPiP8AEDTPin8Uf2bfDPxSbR/2a/if49027g1GTxH44+HK6DPfane6nqttb6pqAtvE1jD9shX7BFY2zy28n1B4W/Y++GXhH4/ftDftGaXrPjd/Gv7Svg7wZ4I8caPdaj4fbwlo2keBvDcPhfR5fB+n2/hm21bTr6bToEkv5NX1zXrWS7y9raWkGLccEKeIjlVCi5N4+lk+e0/aSqNv+26vC+FwmXYidVfu6+GxHFFGrmtKnWjUjl2Hq8tanCFTEZcek6lF5niK3Klga2PyqSgoaLLI8T0MXjKFOk7zo18Nwyq+XTq03CWOrzn7KpVnLD43D+EfsHftNfH/APac/wCCefwl+P8AD4W+HPjb4+eItL1bS7rR/FfjHV/hF4D8V6l4Q+JOreBdW1/V/E3hP4a/Fa+8J3epeH9Du/EzWWhfDjWNMuvEpXRLS08OaJfLf6L9L+Tov/QQ1T/wT2n/AMvKf+yl+zN4D/Y++BHgr9nr4aat4u1zwX4EfxHJpGp+Or/RtT8UXLeJ/FGs+Lb8ale6BoPhnSphDqOuXcFn9l0WzMdlHbxzG4nSW5myK9jH1MPWxuJq4WKhh6lXnpQVNUlFSp0HJKktKa9ssQ1CNoxUkoxjDkhDy8HTrUsNTp4iTnVg60XJzdRumsTiXQ5qj96clhpYaMpSbm5RfPKc1Kc/ij/gpbHpa/sTfGo295fyzD/hXGyObTbe3ib/AIu14DDbpo9VuXTCbmXEL7mAU7Qxdf5Pq/qy/wCCk/8AyZV8aP8AunX/AKtjwJX8ptf159Hr/kjMz/7KXGf+q3Kj+QfpC/8AJZ5Z/wBk1g//AFZZqFFFFfvB+DhRRRQAUUUUAFFFFABRRRQBpaNp/wDa+saVpXnfZ/7T1Kx0/wC0eX5vkfbbqK287yt8Xm+V5u/y/Mj37du9M7hm1paNp/8Aa+saVpXnfZ/7T1Kx0/7R5fm+R9tuorbzvK3xeb5Xm7/L8yPft270zuGbXnxrXzevhvrnNyZThMR/Z31e3svaZnj6H9ofWre/9Y9j9R+q3/dfVPrNl7e79qphbcNYTHf2Xye04jzLBf239c5vrHsMgyfGf2L/AGdzfuvqX1n+1/7Q5V9Y/tL6jzP6pyoooor0DxQooooAKKKKACiiigAooooAKKKKAP7N/wBlyLSD+zL+zqZb7UkkPwJ+EZkSPSrWRFc/D/w/vVJG1iJpEVshXaKMsAGMaE7R7r5Oi/8AQQ1T/wAE9p/8vK+eP2X/APk2n9nj/shnwl/9QHw/Xudf5p55/wAjzO/+x1nP/q4zY/0syP8A5EeSf9iXJv8A1T5SdNrEWkHV9VMt9qSSHUr4yJHpVrIiubmXeqSNrETSIrZCu0UZYAMY0J2jN8nRf+ghqn/gntP/AJeUa5/yGtY/7Cmof+lc1ZdeWeoank6L/wBBDVP/AAT2n/y8rSli0j+yLEG+1IRjUtVKONKtS7ObbR/MVo/7YCqiqIijiVzIXkVo4xGrS8zWpN/yBdP/AOwprH/pJodAB5Oi/wDQQ1T/AME9p/8ALyjydF/6CGqf+Ce0/wDl5WXRQB02lRaQLmXy77Umb+zdYBD6VaxgIdIvhKwZdYkJdIy7xptAkdVjaSJWMqGjxaQNX0oxX2pPINSsTGkmlWsaM4uYtivIusStGjNgM6xSFQSwjcjac3R/+Pub/sF65/6ZdQo0P/kNaP8A9hTT/wD0rhoA+jKKKKAP81T4g/Efw/4z1m21Tw58MvAXwmsYNMhsJfDnw+1L4m6lo17dRXV7cPrdzP8AFT4h/EzxCmp3MN1BYzRWevWmjLa6bZPb6RBfSajeX+X4O8caV4Y8Sadrmt+DPCvxF0yx+2fafB3jG88aWPhvWPtNhdWcP9o3Xw+8W+BfF8X9n3FxFqtn/ZHirS99/Y2sd/8AbtMe90688B/tkf8APUfp/hR/bI/56j9P8K/vdV4Ro/V06nsuR07OvXc+R3TXt5YiWJ5vedqn1j2q0cakXGLj/BzwtSVb6w1D2vOql1QpKHOrNP2EcNHDcvuq9P6v7J6qVOSlJS/0G7qzvPiB/wAEr/AEXhrwPJPp3iX9k34I6hq/wt8B6f4p8TTap8NrjwT4I1P4hfDHwVpF7r2r+NvEc+t/DceJPBnhnS7zxDrvijWpb2xsrm/1zVbp2vPBfA/hSwsv2Hf2g/ht8L/gb8UvAnwb8c+Lvi94y+CPwAX9n34p/Dq9tP2WNK8S/D6D4nfDbQ/g/qXhfwlq/wAI774mxal8UJ/hX8CPEeneBvHHiHSPFck3hH4fnTtP1bS9I+9P2Fn8z9iT9jqTOfM/ZX/Z7fPrv+EnhFs/jmvqiv4RzSjGOa8RW5JRxuNxFCUK1ONaly4TOa2JprEQqSmsbTdTA0IuliXKMaWJzinGTecYmov7ly2TnlvD8pOUXg8vpTjKjL2NTmxuS0cNOVGpTjF4StTjja04VqEYy9phcnfLGOT4WJ/Ntrfwf8CHwb8Gbr4b/sifFPwxZ+H/ANrrVviP+wz4a1P9i743C2+Gnwo074kfDvxFr/wu8DaLbWeiP/wTD1/4rePfCt/rGm/Gv47/AAq8GeG/CfwS1/xP4YsrDSV8Ry2PhX+kmiisIy5MOsPec1Gu60alWpKpVa+o4DA/vZP+NiKqwEMRjMXO9bGYqUa1Tl5OWW6p2qqr7kX7CdFwp0oUqadTMcdmL9nGOtKhRljpYbB4RN0cHhYzpUbKtO5RRRUmoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV8v19QV8v0AfLH7a/wv8dfGb9mL4n/Df4a6H/wknjTX4vCU2kaN/aej6P8Aa4tA8eeF/EurN/aOv6hpelQfZNF0fUb3bc30LT/Z/s1sJruaCCX+fT/h2x+2r/0Rf/zIvwn/APm7r92P+CjPxm+JX7Pv7Gfxm+Lnwh8Sf8Ij8QvC0XgOHQfEH9j6Dr/2CLxN8T/BXhLW1/snxPpetaJdfbfD+u6rp+68024a2+1fa7Q297BbXMP8rf8Aw9+/4KJ/9HDf+Yl+Bv8A87Ov6B8Kc343wHD2Mo8NQ4XlgZZxiKlV53HM3ivrTweCjNU3gqkaXsPZRo8vMvae09pd8vKfz/4q5NwRmPEODrcSVOJ446OT0KVJZLLLFhfqscZjZQdRY2nOr7f2s63Nyv2fs/Z2XNzH2Z/w7Y/bV/6Iv/5kX4T/APzd0f8ADtj9tX/oi/8A5kX4T/8Azd18Z/8AD37/AIKJ/wDRw3/mJfgb/wDOzo/4e/f8FE/+jhv/ADEvwN/+dnX6d/rL4sf8+vD/AP8AAM//APlx+Z/6r+FH/P7j/wD8GZB/8pPtGb/gml+2zbuI5fgrsdooJgP+Fj/CVsxXMEdxC2V8eMPnhljfaTuXdtcK4ZRF/wAO2P21f+iL/wDmRfhP/wDN3XxxN/wWE/4KMXDiSX9oje6xQQg/8Kk+Ba4itoI7eFcL8MlHyQxRpuI3Nt3OWcsxi/4e/f8ABRP/AKOG/wDMS/A3/wCdnR/rL4sf8+vD/wD8Az//AOXB/qv4Uf8AP7j/AP8ABmQf/KT7M/4dsftq/wDRF/8AzIvwn/8Am7qUf8E0v22WgkuB8FcwxSwwyP8A8LH+Evyy3CTyRLtPjzed6W0x3KpVdmGKlkDfF3/D37/gon/0cN/5iX4G/wDzs6lH/BYT/gowsEluP2iMQyywzSJ/wqT4F/NLbpPHE24/DLeNiXMw2qwVt+WDFUKn+svix/z68P8A/wAAz/8A+XB/qv4Uf8/uP/8AwZkH/wApPsf/AIdsftq/9EX/APMi/Cf/AObuj/h2x+2r/wBEX/8AMi/Cf/5u6+M/+Hv3/BRP/o4b/wAxL8Df/nZ0f8Pfv+Cif/Rw3/mJfgb/APOzo/1l8WP+fXh//wCAZ/8A/Lg/1X8KP+f3H/8A4MyD/wCUn2Z/w7Y/bV/6Iv8A+ZF+E/8A83dSz/8ABNL9tm2nmt5vgrsmt5ZIZU/4WP8ACVtksTmORdyePGRtrqRuVmU4ypIwa+Lv+Hv3/BRP/o4b/wAxL8Df/nZ1LP8A8FhP+CjFzPNcTftEb5riWSaV/wDhUnwLXfLK5kkbanwyVF3OxO1VVRnCgDAo/wBZfFj/AJ9eH/8A4Bn/AP8ALg/1X8KP+f3H/wD4MyD/AOUn15f/APBO39rrQrG91vxL8Kv7F8OaPaXOq6/rH/Cc/DLUf7J0TT4Xu9V1P+z7DxvNfX/2CxhnuvsVlFLd3XleRbRvNIim3/w7Y/bV/wCiL/8AmRfhP/8AN3Xyt4O/4Kvf8FE/Fni7wt4V/wCGkfsH/CS+I9D8P/b/APhT3wNuvsX9s6na6d9r+y/8K5tvtP2b7T532f7RB52zy/Oi3b15z/h79/wUT/6OG/8AMS/A3/52dcUeKvFd5lVoe14Cc45dh67wX1fPlCnCePxdFY1VuZSlOvKlLCSouq4whho1VTjKo6k/Wnwd4VLIMNjPqnHsYVM9x+EWcfXcic68qOSZXinlLwXK404YSOIjmkcYqUZVp4+WEdWccOqVP7RP/BNL9tlYI7g/BXEMss0Mb/8ACx/hL80tukEkq7R483jYlzCdzKFbfhSxVwsX/Dtj9tX/AKIv/wCZF+E//wA3dfHB/wCCwn/BRhoI7c/tEZhilmmjT/hUnwL+WW4SCOVtw+GW870toRtZiq7MqFLOWi/4e/f8FE/+jhv/ADEvwN/+dnXb/rL4sf8APrw//wDAM/8A/lx5P+q/hR/z+4//APBmQf8Ayk+zP+HbH7av/RF//Mi/Cf8A+bupYf8Agml+2zcOY4vgrvdYp5iP+Fj/AAlXEVtBJcTNlvHij5IYpH2g7m27UDOVU/F3/D37/gon/wBHDf8AmJfgb/8AOzqWH/gsJ/wUYt3MkX7RGx2inhJ/4VJ8C2zFcwSW8y4b4ZMPnhlkTcBuXduQq4Vgf6y+LH/Prw//APAM/wD/AJcH+q/hR/z+4/8A/BmQf/KT7H/4dsftq/8ARF//ADIvwn/+buj/AIdsftq/9EX/APMi/Cf/AObuv6Qv2ZPGHiL4hfs2/s+ePvGGo/2v4t8cfA/4T+MPFOrfZLHT/wC1PEXibwFoGta3qP2DS7Wy0yy+26ne3Vz9k06ztLG283ybS1t7dI4k9wr8uxHj/wAbYbEV8PPLeGHPD16+Hm44TM3Fzw9atQm4t5om4udCbi2k3FxbSbaX6fQ+j/wTiKFDEQzLidQxFChiIKWLyxSUK9GjXgpJZW0pKFaCkk2lJSSbSTf8pv8Aw7Y/bV/6Iv8A+ZF+E/8A83dSzf8ABNL9tm3cRy/BXY7RQTAf8LH+ErZiuYI7iFsr48YfPDLG+0ncu7a4Vwyj+q2tTWP+PuH/ALBeh/8Apl0+sf8AiYXjP/oWcNf+EeZf/PU1/wCJeuDP+hnxL/4WZb/86j+Tn/h2x+2r/wBEX/8AMi/Cf/5u6P8Ah2x+2r/0Rf8A8yL8J/8A5u6/qyoo/wCJheM/+hZw1/4R5l/89Q/4l64M/wChnxL/AOFmW/8AzqP5Uo/+CaX7bMqTyR/BXcltEJpj/wALH+Eo2RNPDbhsN48BbM1xEm1AzfPuI2KzLF/w7Y/bV/6Iv/5kX4T/APzd1/WNp/8Ax6a5/wBguH/09aPWXR/xMLxn/wBCzhr/AMI8y/8AnqH/ABL1wZ/0M+Jf/CzLf/nUeU/Afw1rfgz4HfBrwf4lsv7N8R+FPhT8O/DWv6d9ptLz7BreheENH0vVbL7XYT3VjdfZb61ng+02V1c2k/l+bbTzQskjerUUV+H4vETxmKxWMqqMauLxWJxdSME1CNTFYnEYqpGCk5SUI1MTUUFKUpKCgnKTTk/3DCYeGDwuFwdJylSwmFw2Epym05yp4XDYfC05TcVGLnKnhqbm4xjFzc2oxTUVqa5/yGtY/wCwpqH/AKVzVl1qa5/yGtY/7Cmof+lc1Zdc50BWpN/yBdP/AOwprH/pJodZdak3/IF0/wD7Cmsf+kmh0AZdFFFAGpo//H3N/wBgvXP/AEy6hRof/Ia0f/sKaf8A+lcNGj/8fc3/AGC9c/8ATLqFGh/8hrR/+wpp/wD6Vw0AfRlFFFAH+Tb/AGwv979T/hR/bC/3v1P+FUfib8dvi18a9etPFXxl+KvxG+LfifT9It/D9h4j+JvjfxP4916y0G1vb/UbXRLTWPFWp6rqFtpFtqGq6pf2+mw3CWUN7qV/dRwrPeXDyZHgT4rePPhb4r0rx38MvHXi/wCHXjjQvt39ieMvAniXWvCPivR/7T0280fUv7K8Q+H73T9X0/8AtDSNQv8ASr77JeQ/a9NvryxuPMtbmaJ/7KWPq+yu/Z+35H7qnWdH2mtlzuCrcl+W8vZ86TlaLsr/AMgvL6ftbJ1fY8y9506Srcml3yKo6XPvaPtOR6Xkru3+mv8AsjePvCnwz/4JwfssfEnxzqw0Pwd4N/Yu+A3ijxJq32LUdTls9I0v4KeEr68kttK0ez1DWdXvWijMdhpGjafqGsatevBp2lWF7qFzb20vr/hr9qL4I+K/gh4g/aJ0zxRrFn8LfCVn4uufFt34o+H3xI8E+NvCVz4Fub2y8V+HvFfwj8Z+EdA+LvhrxppN7p89o3gPW/A1h41vLqWwt9P0C7m1TTEu/nD4R+HviB+0J/wTA/Z0gg8T/wBtfFnxp+yf+zR49sPFPxC17xFcw+JvifpXgT4efEXTL34h+JrMap4pu9O8UeMNJtl8b6zHDrOs3en6lq149lrF1K9ndVNM/Z6/aO1b4GfGPw/4t0/4K6H8Wvjh458Y/HnVLLwz8TviHr3w78BfFPQNc+GNz8GfhtY+I7n4SeDfFXxA+Hmr6T8OrRfil8Rrrwz8P9b0+9N1a6B8KPEema20eh/x5mE6ssxz7n/d8mJq1KFSFKVb97Uzaf1rkpOcZY1ww1XM6sKC+rzhUy3BU5SqTziEYf1rgYxhgcjjSXtFPBqOIjOcaNo0cphLBwnVSlHCqviKWW0ZV7VouOZYyUYxjk85VO3uf+Cjv7I1npnw91a68bfEOC0+IuratosEcv7OP7Sy6l8OL3QvGmm/DzWJP2i9GPwh/tj9lTTNO8ZatZ6Jda3+0zY/CXRY5ReXR1D7BpmpXdp9yV+PN38A/wDgofJrfhcXHgj9kPXPht8UPjR4q+Pn7U/wvtv2nvjP4KmXxO2peCtE+GXw58H/ABBT9jTxtd/Fb4S+E/CPgqy8Z/ELS9T8JfALW/jF8R49F8I6nqHhf4KWvj3wT8VP2GrOKTw0Kk1GGIlWlGpRjUclRUcLhJ1KXvR/fU6WMqYijhcdSqTpY/DU5V508NVVKgbNy9rGCblTWHlP2jpyg6knmGNp4eo7u1GrVy6jhq2KwDjKWCr1aUFiMQqtZ0CiiioLCiiigAooooAKKKKACiiigAor+drTvjz+0/8ACL/gp9/wUE+JPxA1j4W678BvgH8DND8ZePPDS6r8R7zxTpXwX0vwT4p8XfDDRvgvp+qXieEdH+IviHxAumzfFKHWDYeErzUL7VLzQn+1SxT16N4R/wCCiv7b/gfSf2a/2jP2ofg7+zfof7IH7WHjjwj4P8HWvwp8R/EDUfjl8IrX4tm41P4V+Jfibe+IJ5vAfibSH0C2E3iBfCtjpd9ILyK9ks/DeqQf8IhdLBv65Ry6pT9yWYwwnLGp7kaGJzLNc4yrKsBWqu8FjMyrZPX+rU4qUHPnp1KtCMKVXGPFL6pUxsJ+9HBuu+an78q9HBZRluc5niKNNcspUcuwmZU6uKd1JUFCrThXnVlhsN+79Ffzx+MP+Cj3/BRfUbH9vTxx8Ivhb+yHP8LP2GfjX8S/CPiLVfH8/wAV4PGPjDwN4LvbtYtP8PeHdB8VNptx4x0fRtOk1vxF4i1bXvDeg6omqWWn+HfDDX1hexzVf2rf+C2Gu+AL79n7w18KB8APhJq3xW/Zx+Hv7SHinxb+1BY/HXx14P0W2+JWnpdaF8LNC0b9nDwprvi+bxZDC02sT+J9Zs7Lw1JpVqbd7ezv7yyEmUa9OeGw2KjzcmKhl9WlTatiPYZplGKz3BYidFyvGjVy3BYyvdTqVVPDzorDzrTw8MRpUpTp1q1Gdk8P9ejUqJuVH2uXYzAYHF4eFSMXz16eIzTAR9mqaThiFU9rGNLEew/omr5fryn9k39r3xr+2H+xf4R/aN+EXw58E3fxR15brR7r4c+OviF4l+HngFfFXhrxYPDfi8H4h6P8Mfin4i03RX021v8AxN4YaL4deIbq7abSfDmrvpcs2pa3pntXk6L/ANBDVP8AwT2n/wAvK7MRQqYatUoVeXnptXcZc0JRnCnVp1KcrR56dWlWo1acuWPNTqwbjF80Ic1GrCtTjUhflbnFqSSlGdOpVo1ackpTip0q1CtSnyzqQ56UnCpUg6dWp+YP/BX7/lHZ+0N/3SX/ANXl8M6/iBr+43/gsJHpa/8ABOf9og295fyzD/hUmyObTbe3ib/i+nwyDbpo9VuXTCbmXEL7mAU7Qxdf4cq/ovwe/wCSax3/AGO8R/6hYA/nfxd/5KTBf9iXD/8Aqbjgooor9XPysKKKKACiiigAooooAKKKKAOj8HeH/wDhLPF3hbwr9r+wf8JL4j0Pw/8Ab/s/2r7F/bOp2unfa/svnW32n7N9p877P9og87Z5fnRbt685XR+DvD//AAlni7wt4V+1/YP+El8R6H4f+3/Z/tX2L+2dTtdO+1/ZfOtvtP2b7T532f7RB52zy/Oi3b15yuGNW+Z1qH1q/LluGr/UfY29nz5hjKP136zb3/b+y+p/V7/u/q3t7L213688Nbh7C4z+zuX2mf5hg/7Y+t83t/Y5HlWK/sj6hf8Ad/U/rH9qfXuVe3/tD6lzP6ryooooruPICiiigD/QT/Yw/wCTPP2UP+zavgV/6q7wtX0rXz5+xbFpB/Y5/ZNMt9qSSH9mf4EGRI9KtZEVz8LfCu9UkbWImkRWyFdooywAYxoTtH0v5Oi/9BDVP/BPaf8Ay8r+Js0/5Gmaf9jPMv8A1Y5gf2llf/Isyz/sW5b/AOq7AGXWprH/AB9w/wDYL0P/ANMun0eTov8A0ENU/wDBPaf/AC8rS1WLSDcxeZfakrf2bo4ATSrWQFBpFiImLNrEZDvGEeRNpEbs0aySqolfgO45mitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygA0//j01z/sFw/8Ap60esuumsYtIFtrGy+1JlOmxCUtpVqpRP7X0oho1GsOJHMgjQozRAIzyeYWjWKTN8nRf+ghqn/gntP8A5eUAZdFank6L/wBBDVP/AAT2n/y8o8nRf+ghqn/gntP/AJeUAGuf8hrWP+wpqH/pXNWXXTaxFpB1fVTLfakkh1K+MiR6VayIrm5l3qkjaxE0iK2QrtFGWADGNCdozfJ0X/oIap/4J7T/AOXlAGXWpN/yBdP/AOwprH/pJodHk6L/ANBDVP8AwT2n/wAvK0pYtI/sixBvtSEY1LVSjjSrUuzm20fzFaP+2AqoqiIo4lcyF5FaOMRq0oBzNFank6L/ANBDVP8AwT2n/wAvKPJ0X/oIap/4J7T/AOXlABo//H3N/wBgvXP/AEy6hRof/Ia0f/sKaf8A+lcNaWlRaQLmXy77Umb+zdYBD6VaxgIdIvhKwZdYkJdIy7xptAkdVjaSJWMqGjxaQNX0oxX2pPINSsTGkmlWsaM4uYtivIusStGjNgM6xSFQSwjcjaQD3qiiigD/AByf7X/22/P/AOvR/a/+235//Xp3xY8LeFPh14istE8H/G34X/HrTLrRbbVZ/GHwn0f40aP4d02+nvtStJfDd7a/HP4RfBjxbJrVnb2NrqlzPp3he/8ADrWOsabHaa/danFq+naVifDzS9C8a+MdH8M+JPiT4J+EWi6n/aH234h/EPT/AIjan4O8PfY9LvdQtv7YsvhP4B+J/j+f+1ru0g0PT/7A8Da55eqanZTar/Zmix6lrGn/ANOLMYOHtFL3OVyvyTUrK9/3bpqrfR+77LnfSLur/wA6PLmp+zcY83Mo/FTcbu321N07ar3vacq6yVnb/WI/4J1v5n/BPv8AYVk67/2OP2Y3z/vfBPwQ39a+x6/N74GeMtT+CX/BKv8AZg134d614O8f6/4e/Y+/Zb8J/DzxWml+OJvhx4m8ReI/h38N/Afgnxnc6Pqej+CfiM3w8utY1rSvEuoWOraL4K8Xr4U+0Q6pZ+FNWW5XTt7Rf2jPjfo/7Nvx11jxsnwt8RftBfBT4n6x8DI/EvhLwd428M/B3xf431jUfBln8OfHEnw4vfHPjvx14U8JJb/EzwjdeOfCR+KHie/sm0jxMum+OfsMtlqdr/NOMqqpjs19nGc5UMRUrOEYpSqrFZnHD04UeeVOMpqtmeXQqKrLDxp/XaTc5Kli/qn9B4WPssJlcakowjXwqhGbbcKccFl0sRXqVXBTcaao5bmMoOnGvKf1Kso071MJ9b/QOivzD0P9qj9qHSJvhV4N8W+Evgj4z12y/bH1P9l79oH4q+Gm8a/Djww+kt4fsvFfg3xV8JPg3q2s/FHXrXXvFWl+I9Csda0Hxb8YtT0jwTcaP4k1G38SeNRd6Jo8n6eVjG1Skq1OSnSlUVOE0pR9pzYDLMyp1IwqRhVVGrhM3wdSlOpTpOb9vFU17Fzq68/7x0pRlCpGm5zhJRbpuOOzPLqlOUoSnD2tPF5TjKdSEJzUUqM/aSjXioFFFFBYUUUUAFFFFABRRRQAUUUUAfmb8Rv+Cdt546/a0+Jn7QVn8dtR0H4V/tBfCO0+Dn7SP7Psnw70jWoPir4ZsfCeueErRdN+Jdx4htda+HzW1tqGl6hBceHtAk1iLUNMvNmtCz1iS0s/HPhz/wAEofG2la18EvCfxt/bS+IPx9/Zd/Zm8Y2Hjj4Dfs8a58LvBXhO40HWvCVzOvw1Tx/8VNG1K78QfErTPBGk3dxp0OlXujaLp90BbW2m22geG4ZvDNz+ytFGH/2X6v7D3FhZQnQT/eRhUo43HZjhavLU54yrYDG5nmFfLas4yqZdLGV44OVOnJU6ZX/2lVlW976xGUKrXuOUKmAw2WYiKlT5JQjjcuweEweYKDisfh8NRp4r2ihef5h6J/wTh/sf4V/8FCvhn/wuX7T/AMN4/EL4p+PP7b/4V55P/Cqv+FmWF1Y/2V/Zv/Ccy/8ACc/2J9p837d9v8H/ANpbNn2Ow3b1858Qf8Et/Hmgv8AvGf7Nn7X3iD9nP45fCT9mrwn+y343+JumfB3wx4/0X4tfD7wjpenWunXV78PvE/imGz8Na7HqNj9utdTTXtfu9OtlsLKynjudNh1ST9gqKzjShGlSow5oU6NDLcNTUJzhKOHynKsfkmCoOpGUakqSynM8dgcRCUnHG0MQ1i1WnCjUo3KpOc5VJ8s5SrY/Ey5oQlF18yxWWY3F1uSUZQVR4zJ8txNCSjfC1sLGeG9l7StGt5H8CPhXdfBP4SeCPhhf/Eb4ifFvUvCulG11X4k/FbxRqvjDx54w1a6urjUdT1fWtb1q81C+KS315PHpemG7nt9D0iOw0a0ke2sInbzuvqCvl+uirVnWq1K1Rxc6k5TlywhTjeVtI06cYU4RSUYxhCEYxjGMUrK8sadONKnClDm5IRUY8051JPdtynUlOc5SblKU5ycpSlKTte0fzV/4K/f8o7P2hv8Aukv/AKvL4Z1/EDX903/BUvwR40+I37B/x28G/D3wh4o8eeL9WT4aSaV4V8GaBq3ijxJqaaX8Yfh9rGpvp+h6JaX2p3qadpGn3+q37W1rILPTbG8vrgx2ttNKn8d3/DGH7Yf/AEah+0r/AOGK+KP/AMy1f0J4SY3BYbhzGwxGMweHm85xElDEYvCYebi8HgUpKFfFUJuLaaUlBxbTSk2ml/P/AIr4PGYjiLBzw+DxeIgsnw8XPD4TFV4KSxmObi50MLWgpJNNxc1JJpuKTTfzVRX0r/wxh+2H/wBGoftK/wDhivij/wDMtR/wxh+2H/0ah+0r/wCGK+KP/wAy1fqX9qZX/wBDTLP/AA5Zd/8APA/MP7LzP/oWZl/4bcx/+YD5qor6Xf8AYt/bGjIWT9k39piNikcgV/gR8UlJSVFlicBvCoJSSN0kjbo6MrqSrAlv/DGH7Yf/AEah+0r/AOGK+KP/AMy1H9qZX/0NMs/8OWXf/PAP7LzP/oWZl/4bcx/+YD5qor6V/wCGMP2w/wDo1D9pX/wxXxR/+ZanD9i39sYo0o/ZN/aYMaOkbyD4EfFIoryCRo0Z/wDhFdqvIsUrIpILCOQqCEbB/amV/wDQ0yz/AMOWXf8AzwD+y8z/AOhZmX/htzH/AOYD5oor6V/4Yw/bD/6NQ/aV/wDDFfFH/wCZaj/hjD9sP/o1D9pX/wAMV8Uf/mWo/tTK/wDoaZZ/4csu/wDngH9l5n/0LMy/8NuY/wDzAfNVFfSv/DGH7Yf/AEah+0r/AOGK+KP/AMy1Ok/Yt/bGid4pf2Tf2mI5I3aOSOT4EfFJHjdCVdHRvCoZXVgVZWAKkEEAij+1Mr/6GmWf+HLLv/ngH9l5n/0LMy/8NuY//MB4X4O8P/8ACWeLvC3hX7X9g/4SXxHofh/7f9n+1fYv7Z1O1077X9l862+0/ZvtPnfZ/tEHnbPL86LdvXnK+pdI/Yq/aquNV0y38Rfs4/tBeEfD8+oWUOu+K9a+CPxHtdH8MaPLcxJqfiHVrm+0HT7K20zRbJp9Sv57y/sbWG1tpZLi8toVeZM//hjD9sP/AKNQ/aV/8MV8Uf8A5lq4o5xljzKrS/t3LXGOXYaqsH9by9Rpynj8ZSeMWK+vcs5Vo01hHheduksOsS4pV1KXrzyTMlkGGxf+rmYxlPPsfhXm3scfKVeNLJMrxKyp5f8AUr0o4R13max/IliHjngVOTwjhH5qor6XP7Fv7YwRZT+yb+0wI3d40kPwI+KQRnjEbSIr/wDCK7WeNZYmdQSVEkZYAOuW/wDDGH7Yf/RqH7Sv/hivij/8y1dv9qZX/wBDTLP/AA5Zd/8APA8j+y8z/wChZmX/AIbcx/8AmA+aqK+lf+GMP2w/+jUP2lf/AAxXxR/+ZanJ+xb+2NISsf7Jv7TEjBJJCqfAj4pMQkSNLK5C+FSQkcaPJI3REVnYhVJB/amV/wDQ0yz/AMOWXf8AzwD+y8z/AOhZmX/htzH/AOYD+3z9jD/kzz9lD/s2r4Ff+qu8LV9K18+/slaLrHhv9lX9mbw74i0nU9B8QaD+z78GdF13QtasLrS9Y0XWNL+HHhux1PSdW0y+igvdO1PTr2Cezv7C8ghurO6hlt7iKOaN0H0FX8Z5m1LM8ylFqUZZlmMoyi1KMoyzDHyjKMotxlGUWpRlFtNNNNppv+xcsTjluWxknGUcuy+MoyTjKMo5fgYyjKMknGUWmmmk0000mmkVqax/x9w/9gvQ/wD0y6fWXWprH/H3D/2C9D/9Mun1wnaZdFFFAGpp/wDx6a5/2C4f/T1o9Zdamn/8emuf9guH/wBPWj1l0AFFFFAGprn/ACGtY/7Cmof+lc1Zdamuf8hrWP8AsKah/wClc1ZdABWpN/yBdP8A+wprH/pJodZdak3/ACBdP/7Cmsf+kmh0AZdFFFAGpo//AB9zf9gvXP8A0y6hRof/ACGtH/7Cmn/+lcNGj/8AH3N/2C9c/wDTLqFGh/8AIa0f/sKaf/6Vw0AfRlFFFABRRRQByPj/AMCeFPih4J8V/Drx1pQ1zwd420HU/DXiTSvtuo6ZJe6Rq9rJZ3kdtquj3en6zpF6sUplsNY0bUNP1jSb1INR0q/stQtre5i8U0H9kD4CeHPhde/Bqw8O+MLv4e6x4e+I3hzxJpniH4xfGfxbrHjJfixqljrXjjxP498ZeKviDrPjXx98Sr/UtPt7nSPi14z8Q678UfCIe8g8H+L9Bt9S1GG6+maKnkg/a+7H9/CFOtpZ1YU+b2cZtOMmoczcLShKLUJRmpUcPPCPmd6Ur60ZVJUm7P2cqsYxquCkpJe0jFRmnGUZxc4yg41a8cT8/eCf2XPgj8PvA/gz4e+HfC+sy+H/AAH8QW+LGh3fij4hfEjx54yv/iXLqOqarceOvGnxH8deLvEfxD+JHie9vtZ1CbUNX+IninxTd6iklvb30lxbWNhDbfQNFFW23za/FNVJJJJOao0MMpcsYwimsPhcNQXLCCjRw9ClGMadKEVEYRjblilyx5FvdQ9rXr8t25Sa9visTWfNKTdXEVqkpSnVnJlFFFIoKKKKACiiigAooooAKKKKACiiigAooooAK+X6+oK+X6APkT9vH9ovxt+yd+yf8Wvj78OtL8K614x8DW/g+30nTfGtjq+o+GrhPGfxB8J+AtUOo2eha54c1SZ4NH8Uahc2BttZtBFqUNnNcLdWsc9ncfzXf8RBX7Zn/RM/2Y//AAjPip/8+iv3U/4LIf8AKN/9o3/ukP8A6vj4X1/CvX7l4Z8OZFm+RYvE5plWEx2IhmtehCriIVJTjSjhcHONNOGIpLlU6k5Jcrd5P3nol+K+I3EOd5TneFw+W5ni8FQnldGtOlQlTjCVWWKxcJVGp4eq+ZwhCLfMlaK06v8AdT/iIK/bM/6Jn+zH/wCEZ8VP/n0Uf8RBX7Zn/RM/2Y//AAjPip/8+ivwror9E/1H4Q/6J3Lf/Bdf/wCbT4D/AF04s/6H+Y/+DKP/AMxn7uXP/Bwn+2fdSLLJ8Mv2YAy29rbgJ4L+KwGyztYbSInd8amO9o4EaQ5ALliqqpCiv/xEFftmf9Ez/Zj/APCM+Kn/AM+ivwroo/1H4Q/6J3Lf/Bdf/wCbQ/104s/6H+Y/+DKP/wAxn7qf8RBX7Zn/AETP9mP/AMIz4qf/AD6KsL/wcJ/tnrazWg+GX7MHlz3FtcOx8F/FbeHtY7qKMKf+F1BQhW8lLgqSSse1lAYN+EdFH+o/CH/RO5b/AOC6/wD82h/rpxZ/0P8AMf8AwZR/+Yz91P8AiIK/bM/6Jn+zH/4RnxU/+fRR/wARBX7Zn/RM/wBmP/wjPip/8+ivwroo/wBR+EP+idy3/wAF1/8A5tD/AF04s/6H+Y/+DKP/AMxn7qf8RBX7Zn/RM/2Y/wDwjPip/wDPoqxdf8HCf7Z95dXN3L8Mv2YFkuria4kWPwX8VggeeRpXCBvjUzBAzEKGZiBjLE8n8I6KP9R+EP8Aonct/wDBdf8A+bQ/104s/wCh/mP/AIMo/wDzGfv34K/4L0ftmeMPGXhLwj/wr/8AZj07/hKfE+g+HP7Q/wCEE+Kl39h/tvVbTTPtn2T/AIXfa/avsv2rz/s/2m387Z5Xnw7vMXmP+Igr9sz/AKJn+zH/AOEZ8VP/AJ9Ffij4K8Of8Jh4y8JeEftn9nf8JT4n0Hw5/aH2f7X9h/tvVbTTPtn2Tz7X7V9l+1ef9n+02/nbPK8+Hd5i8zXFHgzhB5nWof2Plr5ctw1f6j9Vrr2fPmGMo/XfrP1z3/b+y+p/V7/u/q3t7L21368+LOLFw/hsZ9ezGPtM+x+E/tf69Rl7f2OSZViv7J+o/VP3f1T6x/an17lXt/r/ANT5n9W5V+7jf8HCf7Z7WsNofhl+zB5cFxc3CMPBfxW3l7qO1ikDH/hdRUoFs4igCggtJuZgVC1/+Igr9sz/AKJn+zH/AOEZ8VP/AJ9FfhXRXb/qPwh/0TuW/wDguv8A/Np5H+unFn/Q/wAx/wDBlH/5jP7vP+CXH7YnxM/bb+AHjD4q/FXQvAnh/wAQ+H/jF4g+H1nZ/D7TPEGlaLLouleCvh94jt7q6t/EfifxZfPqj33izUYppotRhtGtIbJEso5o557n9ONH/wCPub/sF65/6ZdQr8F/+DfT/kzP4mf9nOeM/wD1VXwXr96NH/4+5v8AsF65/wCmXUK/mvi7CYbA8TZ3g8HRhh8Lh8fOlQoUk1TpU1RwklCClKbUVKc3rOTvJ69v6J4VxWIxvDmTYvF1p4jE4jAwqV69Rp1KtR1cVFzm4xgm2oQWkIq0Vp3y6KKK+dPoArU1j/j7h/7Beh/+mXT6y61NY/4+4f8AsF6H/wCmXT6AMuiiigDU0/8A49Nc/wCwXD/6etHrLrU0/wD49Nc/7BcP/p60esugAooooA1Nc/5DWsf9hTUP/SuasutTXP8AkNax/wBhTUP/AErmrLoAK1Jv+QLp/wD2FNY/9JNDrLrUm/5Aun/9hTWP/STQ6AMuiiigDU0f/j7m/wCwXrn/AKZdQo0P/kNaP/2FNP8A/SuGjR/+Pub/ALBeuf8Apl1CjQ/+Q1o//YU0/wD9K4aAPoyiiigAor8AP2fNZ/Yas/jnq0vxO1bw3D/wVztf2oP2mNP1O10Gx8S65+2BdeH5/EPxVn+E+j+NdN8MaZrHxKX9iZ/2dbn4bap4Mbx1bW37KFjFH8NtWt7yz8dQ+F7kfIXjn9u3Wf2rPgr8NLe8/bLbwn4a+F3w9/4I4fFP9o/4meBI/wBnrTNO+HH7QnjL9sq68NfHfTvibq/jT4ceKvC3w/8AFngbUfD/AIR1zxz8OPEujaDp/wAOvEWheF7PWfDun6ZqviXw7rbwSeNeWU4OLqY+eVOcqclUw1PDZnPLFLE4eteEsXDLnmdPBZhGNKHJnUIZVSqPE43C4anVaDoxxtSSnGGEWPiqdSDp4qpXwUMVKnQlQvJU55jHDLGZclKcq2V1v7QdOrRw9bEVP6vKK/BL4EftQfHL4x/Hv4k/DA/tbeItf8Ua94e/b00L41fAfwt4H+Blnr3/AAT/AD8J/ilD4G/ZV8daHPB8K7vxx4V8QfE/wI58XaKv7Uep/Frwx8dbu8/4WL8I/D2l/Djw7q2gTeD/ALAP7IPhPQviP/wRv1K48b65r+j+DP8Agnd8av2jrDwbq3wl/ZLs/DV18aPiDrn7Os3iX4kSS+Gf2bvD3ifRviFqNt8Z7jTNS+JvhHxJ4b+J/iKx8EeHG8WeNPEF94u+Nt78W3g4PFvDzuqWHxFHDVo1Gpzny1cHnuYVeSMF7KtCnhcljSp16NWrhq+OxVfDRrL+w88WFnENUKeJd+evh6mLpukvdjJ4f+z6VK83rSlWxePcZUq1OnWo4SjQxs6bp5vlDxH9MtFFFSAUUUUAFFFFABRRRQB+Ln7W3/BYvw1+zj8cfiB8F/Bnwe8OfFGX4KaVouq/GnXfF/7TPwa/Z/vtIOuaPH4mg0f4UeDPiTcnxJ8c/EVp4c8ye/0LwZBDfQ61NpPh+KOe61qynPovxQ/4Kezz+Kf2f/hz+x7+zp4k/a6+Jvx++DNr+0NpvheL4i+F/gxpfhP4Q38U6WWteJPF/ivTte0Wz8QSapa3OkT+HLs2K219B9kfVm1K80nTtS+cf2mv+CWfxw8SftMfHD40fs+WP7D3izQP2lbHwzP4yl/bB+DK/Fjxr8FPF+jWA0PUPFvwOi1HwZ418N31xqlj/wATqfR/GKReHbnVYrXTL/RrqxtbW+t/Zvil+wh+0v8ADb4tfs9ftBfsP+Of2fbD4o/C/wDZ7H7MvxG8O/HDwdqngf4TeOvAtvcR67ZeIdE8H/AXQLCx8HatH4t+0ayfC3hXTvDfhuBv7NjtJ4rDTrrStYywnPLB4F4v2ixE8bbF+zjTjVhU+ocQNUHCo3S/sZ5pT4dpyx0XGtDCYitOM505ZlVy/TE2WKxiwipypRwcnhFVlL2E/wDaOHowqSqR5ZRzJ4WpxHUlhZXpe2oYenKMFHBPHcX4a/4LHXWvfBOx+L99+y/q3hi9uv29NG/YgvPAev8AxTit9d0O61XRodVuPHWtXEHw5nhtdW0eaV9M1HwBDBcxR3lvMI/GzooLfZniL9tyPw3+2T49/ZOm+E3iLXYvAf7J+o/tRyeL/COp3XiXxX4jTTfE0fh5vh14Z+Fdj4ZF7q/iDUFcy6NcWniuW41PUWttIh0VZLhbpPw4/ZZ/ZC+MX7V/7HP7VvgPw18UPCo/aF+En/BWDxv8XtC+IPjfR73SvBni/wCJPw503wnY6nqOv6X4dttbuPD2m6/JquravFZ6fpWv29hOLXSls3tXN9a/aMX/AAT2/b2+LHxx/aA+O37Qfxn/AGdfCnjD42/sSeMf2YtIuf2eoPifY2nw38Q6p4q0y/0J9KtPF+mRazrfhm40rTLvU/EXiK88W2XiSLWPEuo6HpGhppOkaZqc1SlUWGdSMIyqvLHmVJ0+Z0MTHMfDHh3MMpWCda06z/1vxWZ4j2VanRqclTDYfEOVCvh8PA5aSr4mlzz5KWaV8uSqrlxFF4HxDnhcX9ahTVqL/wBUIewlWi6kI1fb1oRWKw1So/WP2fv+CrPib4k/tT+C/wBln42/ssXf7PPiv4n+GPEfiLwDBcfHn4ffE7x5Yy6J4Xj8e2WifGb4S+GdJ03xh8CNZ1rwOZdWt9H8fCDXYtRWPSho9xAL7VdP8F0T/gt98Rb34NeHf2mta/YC8c6R+zLH8SE+GvxK+MNr8c/BupxeEtUk8UJoX2vwl4Lm8H6V4t+IFlFaXNk02oz6f4N0FPFEtz4PTXJLq0/tGbJ/ZL/4JT/tLfBX4/fsifGPxppn7CvhbSv2dvD/AMRfAfinSPgB4W+ImheLPHWieIfhxL4Z0T4k+LfHXijw1JqnxL+Kepa7qmpDXYddh8K6H4d0Wx8/w5eX0/ifUNK0Xqv+HWP7QX/Dp/W/2E/+Ex+Df/C3NS+KzeOYPEX/AAkHjb/hXCaS3xZsvHYt5dX/AOFe/wDCTLqP9kW0lsYU8ISW39pFIftf2UteL1U40oV8PzSjVpUfqFKqnKap4qMuPctwOJr1WlDERn/qTi8bmNXklQlCeC+sTowxNGrga2VP966kKjlh44iopKquR1MEpcKZ7iKsKOk6EoU+JsLlOGpOrTxCtilCM6uGxKrUNn4kft9x/sv/ABS/4KlfE+Lwx8YPivF8Abn9j6OPwB4y/aDb/hWEsfxU0r+ykk+Efg5vhRdt8GAi6kNT8YRNqHjxvHOrWtrdFvDZTy62U/4K1fH9vH/if4Nv/wAE2filF8aJ/hXpnx4+E/gSX48fCiGDxZ8Fpry/Or+MfiR4intIrT4Tapp2k2kL2fgu0tPiJ4kvvEs0nhS/tdEuktL3UML9pH/gmB8ffjCn/BSRfDPi74QWJ/bDm/ZGk+Gf9u6/40tRoa/AMWI8YDx1/Z/w/wBT/sw6l9mk/wCEa/4R/wD4ScXmU/tQ6Nltv1s37G/xIf8Abfl/aXk1jwC/gj/hhKT9mK20x9Q15vF0PxCk8YRa8dbSyPhc6RH4SOmCa1bUo9e/twzytD/YBt3eauButDAPlbnXoZVOnQpNR5vb4Pg3iHMcPTi4pOVXF8VUMlyuo6k6i9njsRh4Tg69LHZdpScauIpzrRjRVetg6+JlHm5YyrZrwDgsXTtKUlGnh8oxnFeKioxjJTyiNWTq+wnSzH1v9nz9sGH9pD9j7wJ+1h8Nvg18QvGN34z0dbgfBbwfrPw6Hjhdf07xdN4J8XaNoviL4peMfhF8PtSsvDWq2Gs6oms654n8JnW/DWlvd6fpg1+8svDE3oH9n2n/AEHNL/7861/8p68n/wCCb/7M3jz9j79jn4T/ALPXxL1bwjrnjTwJN46k1fU/At/rOp+F7lfE/wAQvFXi2wGm3uv6D4Z1WYw6drlpBefatFsxHex3EcJuIEiuZvRK9THrDRxuJWDcXhfa3ocspSioSp0JuMZT99xjUnXhHnvJRgk5SceefHg3XeGp/WU/bp1ozcoxjKUYYnFQpTlGHuKVTDww9R8qUXz3UY8zjH81v+Cy1nbxf8E2v2j5I9VsLl1/4VBiGGPVFlfPx5+FynabjTbeEbQS7b5k+VSF3PtVv4SK/uo/4LIf8o3/ANo3/ukP/q+PhfX8K9f0B4Rf8k3jf+x1iP8A1CwJ+DeK/wDyUOD/AOxPh/8A1MxoUUUV+qH5iFFFFABRRRQAUUUUAFFFFAHTeCvDn/CYeMvCXhH7Z/Z3/CU+J9B8Of2h9n+1/Yf7b1W00z7Z9k8+1+1fZftXn/Z/tNv52zyvPh3eYvM103grw5/wmHjLwl4R+2f2d/wlPifQfDn9ofZ/tf2H+29VtNM+2fZPPtftX2X7V5/2f7Tb+ds8rz4d3mLzNcUat8zrUPrV+XLcNX+o+xt7PnzDGUfrv1m3v+39l9T+r3/d/Vvb2Xtrv154a3D+Gxn9ncvtM+x+E/tf61ze39jkmVYr+yfqN/3f1T6x/an17lXt/r/1Pmf1blRRRRXaeQf2M/8ABvZawT/sYfE15dRsrNh+0/40URXEeoM7AfCn4KkSA2lhdR7CSVAaQPlWygUqzfvbpVjarcyldY02QnTdYXakWrggPpF8jSHzNKjXZErGWQBi5RGESSSFI2/AX/g30/5Mz+Jn/ZznjP8A9VV8F6/ejR/+Pub/ALBeuf8Apl1Cv5J44/5K/iL/ALGVT/0xgj+qeC/+STyD/sXU/wD09jA/s+0/6Dml/wDfnWv/AJT0f2faf9BzS/8AvzrX/wAp6y6K+VPpzU/s+0/6Dml/9+da/wDlPWlqtjatcxFtY02MjTdHXa8WrkkJpFiiyDy9KkXZKqiWMFg4R1EqRyB415mtTWP+PuH/ALBeh/8Apl0+gA/s+0/6Dml/9+da/wDlPR/Z9p/0HNL/AO/Otf8AynrLooA6axsbVbbWANY01w+mxKzLFq4EQGr6U/mSb9KVihZViAiWR98iEoIxJJHm/wBn2n/Qc0v/AL861/8AKejT/wDj01z/ALBcP/p60esugDU/s+0/6Dml/wDfnWv/AJT0f2faf9BzS/8AvzrX/wAp6y6KAOm1ixtX1fVXbWNNiZtSvmaKSLVy8Za5lJjcxaVJGXQnaxjkkQkHY7Lhjm/2faf9BzS/+/Otf/KejXP+Q1rH/YU1D/0rmrLoA1P7PtP+g5pf/fnWv/lPWlLY2p0ixT+2NNCrqWqsJTFq+xy1to4aNQNKMgeMIrOXjVCJY/LeRhKsfM1qTf8AIF0//sKax/6SaHQAf2faf9BzS/8AvzrX/wAp6P7PtP8AoOaX/wB+da/+U9ZdFAHTaVY2q3MpXWNNkJ03WF2pFq4ID6RfI0h8zSo12RKxlkAYuURhEkkhSNjR7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWGbo//H3N/wBgvXP/AEy6hRof/Ia0f/sKaf8A+lcNAH0ZRRRQByVz4p+z3Nxb/YN/kTyw7/tW3d5UjJu2/Z227tucbjjOMnrUH/CX/wDUO/8AJv8A+5q8t1K88cf8Jzf2n/CO+FP+EL+23X/E/wD+Ez1f/hKP+PWSX/kUP+ED/sn/AJC3+hf8jv8A8g7/AImf/Hz/AMSiqX2zxx/wlH2T/hHfCn/CF/8AQf8A+Ez1f/hKP+Qd5v8AyKH/AAgf9k/8hb/Qv+R3/wCQd/xM/wDj5/4lFYe3j/z7xP8AG9h/u1X4v+fm/wDu/wD1EfwvI9H+zav/AEF5T/uH9o/8jbBfw/8AoF+H/kaf9Sr/AHz+8fRttN9otre427PPgim2Z3bfNjV9u7C7tu7GdozjOB0qavy6/bL+MHxj+H/iOx1H4dfGPU/hZpXwX+DPh341z+CLfw18K9d0P9pLVdW+LHhvwFN8LfF13448MeIvG+l+HrPT/J0WGX4Q6t8PfGB8X/FHwfdDxZqUdjD4U1e7+278YPjH8P8Axo2o/Dr4x6n8LNK+C/wm0f41z+CLfw18K9d0P9pLVdW+L/h/wFN8LfF13448MeIvG+l+HrPT/J0WGX4Q6t8PfGB8X/FHwfdDxZqUdjD4U1fSjNVvYct4+3zOGWe84/u51Of2eJnaTvQn7KreNO9enyP2kY3fs/MryWH+tc6cvquW/wBpT5bPnh7l8PTu1+/j7ajrO1J+191v2c7/AKcUV+WPxA+Inx4jsf8AgoVB8RP2jfE/wr0P4Gah4I8efCrxD+zP8OfhJa+PvCfw7m8BXHimH4fzS/tC/D39o3wd458YeNL2yS01/wATal8P7G2S61iDTPCGh+GE006vqfCfEOH9rj4L33wYmu/20/jd8Q/iT8Of2X/ib8cPjx8L9Q8C/sip8Ifil/wpTwKYNQFzceGv2RfDHxRstc+IPxg8c+CdLto/AvxM+GmlDwN4U8SXOk6Fo+tOz3eLxVOOD+vVFOnh1hI42TajOpCh/ZnEWa1lOnCbca2EwvDGYyxVDncqUZUK6qTwrq16fRChUq4qOCo8tTEzxVTBU4c6pxniFj+HstoKNSqlFU8Zi+JcupYWtKMY1KkMVRlCFXDziv2Jor84f+CefjD9p/UdO+LPgr9qzxyvxC8caJffD/x/4W1+11v4ceM9Mt/h78VfC02oaDo9t45+Fv7Pv7L/AIXv7i2v/D2s6hL4UT4XeJbzwXYarpVpL8efjVDqMGs6P+j1d9ajOhKMKluaVOE5RV7wk5YilVozvGLVXD4nB43C1o2SjXwlaK0WnDhsTSxdL21HmdJzkqcpRcHUpuGGrUa0YtuSp4jDY3BYmkpPn9liaamlNSuUUUVidAUUUUAFFFFABRRRQAUUUUAFFFFABXy/X1BXy/QB+eP/AAVb8C+NviT+wJ8fPBfw68HeKvH3jHV0+GEmk+E/BXh7V/FXiXVE0r4y/DvWdUfTtC0Kzv8AVL1NN0fTtQ1W/a2tZRZ6bY3l9cGO1tp5U/jJ/wCGJ/2zP+jR/wBpz/wwnxU/+ZSv7ZP+CkH7UfxA/Yv/AGLfjV+0p8LtH8Ha946+Hlv4Et9F0nx9p+tap4Tuk8dfE/wV8OdXOqWPh3xD4V1id7bRPF2pXWnG012yEOqwWM9yt5aRXFjc/wAoX/ETZ+3l/wBEl/ZG/wDCD+Mn/wA/uv1vgLOuIMtyjE0MqyrLMdh5ZjVqzq43MK+EqxrSw+GjKnGnSo1IypqEISU203KUo2tFN/lXHOT5DmGbYetmmZ5lgsRHL6VOFLB4ChiqUqKxGJlGpKpVq05KbnOcXBJpRjF3vJpfLH/DE/7Zn/Ro/wC05/4YT4qf/MpR/wAMT/tmf9Gj/tOf+GE+Kn/zKV9T/wDETZ+3l/0SX9kb/wAIP4yf/P7o/wCImz9vL/okv7I3/hB/GT/5/dfb/wCtXGf/AET2Qf8Ah6xn/wAzHxn+rPB//Q/z3/wz4T/5oPlp/wBiP9s+MhZP2Rf2n42KRyBX+AXxWUlJUWWJwG8JglJI3SSNujoyupKsCW/8MT/tmf8ARo/7Tn/hhPip/wDMpX1dc/8ABzp+3rdSLLJ8JP2Qwy29rbgJ4C+MwGyztYbSInd8fWO9o4EaQ5ALliqqpCiD/iJs/by/6JL+yN/4Qfxk/wDn90f61cZ/9E9kH/h6xn/zMH+rPB//AEP89/8ADPhP/mg+WP8Ahif9sz/o0f8Aac/8MJ8VP/mUpw/Yj/bPKNKP2Rf2nzGjpG8g+AXxWKK8gkaNGf8A4RParyLFKyKSCwjkKghGx9S/8RNn7eX/AESX9kb/AMIP4yf/AD+6nX/g50/b1W1mtB8JP2Q/LnuLa4dj4C+M28Pax3UUYU/8L9ChCt5KXBUklY9rKAwY/wBauM/+ieyD/wAPWM/+Zg/1Z4P/AOh/nv8A4Z8J/wDNB8o/8MT/ALZn/Ro/7Tn/AIYT4qf/ADKUf8MT/tmf9Gj/ALTn/hhPip/8ylfU/wDxE2ft5f8ARJf2Rv8Awg/jJ/8AP7r+rb/gmv8AtN+PP2x/2Kfgv+0f8TtI8I6F44+I3/Cxv7b0rwJYazpnhS1/4RD4s+O/Amm/2VY+INf8UavB5+keF7C5vvteu33m6lNeTW/2a1khs7fzc08QOJ8nw8MTjcgyWNKdaNCLpZpjq0vaShOaTjGhBpctOV5XsnZW1PRyzgXhrN688Ngs9ziVWFKVaSq5ZgqMfZxnCDalKtJN81SPu2u1d30P4ov+GJ/2zP8Ao0f9pz/wwnxU/wDmUp0n7Ef7Z8TvFL+yL+0/HJG7RyRyfAL4rI8boSro6N4TDK6sCrKwBUgggEV/ohVqa5/yGtY/7Cmof+lc1eD/AMRjzP8A6EeW/wDhZmP/AMge5/xCPLf+h1mP/hJgP/kz/O60X9h/9rK71nSbXxH+zX+0T4O8PXOp2Fvr3i7W/gX8SrXRfC2izXUUeqeI9Xub/QNOsbfS9DsWn1O/nvNQsLSG0tZZLi8tYVedMz/hif8AbM/6NH/ac/8ADCfFT/5lK/0HfG/iT/hDfBfi/wAX/Yv7R/4RXwvr/iT+z/tH2P7f/YelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W3T1zLxkzX67UX9l5c4fU6LWE9vjlGE3i8Qni1W9nzylVio4V0W+SCoKqkp1JN+nPweytZLh631vMIzlnONovNeXBOVaMMpy6qsreC9pyU1hZVJZksYoqdZ454RyccPGK/zvT+xH+2eEWU/si/tPiN3eNJD8AvisEZ4xG0iK//AAie1njWWJnUElRJGWADrlv/AAxP+2Z/0aP+05/4YT4qf/MpX+ixN/yBdP8A+wprH/pJodZddP8AxGPM/wDoR5b/AOFmY/8AyB5n/EI8t/6HWY/+EmA/+TPxm/4IbfC74mfCT9k34h+HPir8OvHfwy8Q3v7RPizW7PQfiD4R8QeDNau9Fufhr8JLC31e10vxHp+m31xpdxfabqNnDfxQPaS3dhe26StNazpH+1uj/wDH3N/2C9c/9MuoVl1qaP8A8fc3/YL1z/0y6hX5fnOZ1M5zXH5rVpQoVMfiJYidGlKc6dOUoUYcsJ1EqkopUU7zSd5PokfpWUZdDKMswOWUqs69PA0I4eFapGEKlSMZ1Z804024RbdVq0Xa0V1bMuiiivNPRCtTWP8Aj7h/7Beh/wDpl0+sutTWP+PuH/sF6H/6ZdPoAy6KKKANTT/+PTXP+wXD/wCnrR6y61NP/wCPTXP+wXD/AOnrR6y6ACiiigDU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmrLoAK1Jv8AkC6f/wBhTWP/AEk0OsutSb/kC6f/ANhTWP8A0k0OgDLooooA1NH/AOPub/sF65/6ZdQo0P8A5DWj/wDYU0//ANK4aNH/AOPub/sF65/6ZdQo0P8A5DWj/wDYU0//ANK4aAPoyiiigDhrvwzf3F3dTpNaBJriaZA0kwYLJIzqGAt2AYBhkAkZzgkc1X/4RPUf+e1l/wB/J/8A5Gr0GigDyvxb8EPg78R9Z+GXir4m/Cb4Y/ETxj8G9XXxL8KfFfjbwH4W8W+Ifhj4raKzjn8S/DrXPEGk32qeC9dm+wWYfWfDlxpepSLaWoef/R4gmfrv7On7PnijV/AXiDxL8Cfg14i174V+NfEPxK+GGt678MPBOr6v8OPiL4u1mXxH4r8feAtS1DQ7i88H+NfE/iG4n17xD4q8PTadrutazNLqmpX9zfSPO3slFEfc5eT3OSs8RDk93kxDlGbxEOXl5MQ5whN4iPLXc4xk67lGMokkpc6klJVKSw9RS95VKEVUUaE1Lm56EVVqqNCfPRiqtVRopVaqqchqPw+8Bax/wkn9reCPCGqf8Ji2jP4u/tHw1o19/wAJU/h3yf8AhH38SfabKX+3G0L7PB/Yzan9qOmeRD9iMHlpt1/+Ee0A683io6Ho58Tto48PN4j/ALMsv7ebQBeNqI0NtY8j+0Do41BmvxphuPsQvGa6EHnkudiilyxSsoxsk0lZWSdOtRaStZJ0cTiaLSVnRxGIotOliK9KuPW7ere7erf7ynV1bu3+9o0aurf72jRq/wASlSqUvLvhN8Dvgr8BNA1Pwp8C/hB8Lvgt4X1vxFqXi/WfDfwm+H/hP4c6Bq/izWUto9Y8Uano/g/SdG06/wDEWqx2VnHqWt3VtLqV8lpbJdXMqwRBPUaKKq7aim21CFOnBNu0adKnTo0qcVe0adKjSpUaVOKjTpUqVKlShTpUqdKmdZS+1OdSrN9Z1atSdWrVm951KtWpUq1ak3OpVq1KlWrUqVKlSpMooopAFFFFABRRRQAUUUUAFFFflh+1b8RfH3hr/gpF/wAEzfBHh/xv4w0TwR46t/2q5PHXgzR/E2taX4V8anw38KLfU/D/APwlnh+yvYdI8RHQ9QLX2jnWLO9/su8Y3Vl5M5LmJVIQq4eFSXJCvUrwlVaco0YYfLM5zSrUlGKc5xVDJcRBRppzc6tNpNRkm5JrD4yvusHg6uMlDaVSNKpg6bpxb92MpPGQalL3UoSvvG36n0V+Afhf/gtl8T9Z+DunftPaz/wT78eaT+ytpHjdPA/xU+NOmfHPwbrb+C74+LovDMuoeGPANz4P0LxX4+0m2TUdDFzq7weE9Fi8S3uoeFTqhm0r+0r33v4i/wDBTX4zx/tIfHD9nD9m39h7xB+03rXwX8JfDf4gXHibRvjl4V+HWi6t4J8eeCNK8YS6ldJ4t8GyNp2tW8uvaVpnhnwrpFx4p1rxlEmtajbw6SdHexuqnJU4qU/dSp16s1Z81Clhssw2dVauJivewtL+yMXRzKnUxEacKuDdSvSlONCsoVKnONWtRklGdCp7Kd5RUJVf7Wr5FKlSquXsq9Snm+Hnl9anRqVJ0cTPDxqxhHE0akv2Br5frk/gB+298MPj3+yd4b/a20rw78SLHwpqcBtPEXgvwz8OfH/xd+IvhzxTZeJY/B2u+HrPwN8I/CvjDxv4uTS/EDmT+0vDnhW52eGP+Kq1mx0LTbXVhpfoH9j3f/PbS/8AweaL/wDLCtq1Gph6s6NWKjUptKSUozi04wnCcJwlKFSnUp1KVWlUhKVOrSq0qkJOFSLMadSFWEakObllzK0oTpzjKE506lOpTqRhUpVaVWlVo1qVSEKlKtRq0qkYzpzS/Hn/AILtf8oqf2p/+6If+tHfCGv86mv9GX/gvDptxb/8Epf2qZpJLBkT/hR2RDqul3Mp3ftIfB9Rtht7yWZ+WBbZG21cu2EVmH+c1X61wB/yJ8T/ANjKt/6jYU/KOPP+Rvh/+xdS/wDUjEhRRRX3J8SFFFFABRRRQAV/orf8EJf+UVP7LH/db/8A1o74vV/nU1/oy/8ABB7Tbi4/4JS/srTRyWCo/wDwvHAm1XS7aUbf2kPjAp3Q3F5FMnKkrvjXcuHXKMrH4bj/AP5E+G/7GVH/ANRsUfbcB/8AI3xH/Yuq/wDqRhj9Y61Nc/5DWsf9hTUP/Suaj+x7v/ntpf8A4PNF/wDlhWlrGlXUmr6rIsumhZNSvnUSaxpETgNcysA8Ut8kkbgH5o5EV0OVdVYED8gP1o8y8b+JP+EN8F+L/F/2L+0f+EV8L6/4k/s/7R9j+3/2HpV3qf2L7X5F19l+1fZfI+0fZrjyPM83yJtvlt09ZPjq/uvBPgjxl4za303Ul8I+FfEPidtOj8Q6RA+oDQdIvNVNkk8U97JC90LTyFljs7t4zIHS2nYCJ+q/se7/AOe2l/8Ag80X/wCWFYKX+0zh7W9sNTn7Dk+HmxFaHtvadefl9j7O/u+z9pb37noyo2yihifqfLz5ti8P/aP1i/tfZ5ZgK/8AZ/1W/ufV/bfXvrVv3v1v6td+wsib/kC6f/2FNY/9JNDrLrppdKujpFjH5um7l1LVXJOsaQEIkttHVQspvhG7gxtvjR2eMGNpFVZYi+b/AGPd/wDPbS//AAeaL/8ALCtzzjLrU0f/AI+5v+wXrn/pl1Cj+x7v/ntpf/g80X/5YVpaVpV1Hcys0umkHTdYT5NY0iQ5k0i+jUlY75mCBmBkkICRIGllZI0d1AOZorU/se7/AOe2l/8Ag80X/wCWFH9j3f8Az20v/wAHmi//ACwoAy61NY/4+4f+wXof/pl0+j+x7v8A57aX/wCDzRf/AJYVparpV1JcxMsumgDTdHT59Y0iM5j0ixjYhZL5WKFlJjkAKSoVliZ43R2AOZorU/se7/57aX/4PNF/+WFH9j3f/PbS/wDweaL/APLCgA0//j01z/sFw/8Ap60esuumsdKulttYUy6aTJpsSLt1jSHAI1fSpMyMl8yxJtjYCSUohcpEGMkkaNm/2Pd/89tL/wDB5ov/AMsKAMuitT+x7v8A57aX/wCDzRf/AJYUf2Pd/wDPbS//AAeaL/8ALCgA1z/kNax/2FNQ/wDSuasuum1jSrqTV9VkWXTQsmpXzqJNY0iJwGuZWAeKW+SSNwD80ciK6HKuqsCBm/2Pd/8APbS//B5ov/ywoAy61Jv+QLp//YU1j/0k0Oj+x7v/AJ7aX/4PNF/+WFaUulXR0ixj83Tdy6lqrknWNICESW2jqoWU3wjdwY23xo7PGDG0iqssRcA5mitT+x7v/ntpf/g80X/5YUf2Pd/89tL/APB5ov8A8sKADR/+Pub/ALBeuf8Apl1CjQ/+Q1o//YU0/wD9K4a0tK0q6juZWaXTSDpusJ8msaRIcyaRfRqSsd8zBAzAySEBIkDSyskaO6mj6VdR6vpUjS6aVj1KxdhHrGkSuQtzExCRRXzySOQPljjRnc4VFZiAQD3qiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvgz9oH9mDx98Uf2yv2Kf2jfD+r+D7PwR+zXa/H1PHWlaxqGtW/irVj8Ufh9F4W8P/wDCJ2Nl4f1DSL4WeoRtNrH9sa5oP2ezIkshqE+bcfedFYV6PtoNRlyVYwxao1GueNOpisszfK3OVO8VUjChnOKkqblBOapy5k4Ru73pYii9aeKw88LWW0nRqVMNUmoy3hJywlG00m4pSVnzO38j37CH7Lf7av7XH/BPXRfgL4b+MPwO8M/sc/Ez4veMZPiTLrvhvxl/w0J4O0nw18UU1bXPCXw4utMa68B+ItA8Q6rocPiD7R4oGha1Zahrer6X9vn0O2tba4+ktK8J/teWP/BU/wD4KE6H+xB4x+B/hjWtC+En7L/hrVfDX7Qmk+M9T8G3+gN8JfDGn6H4i0zXfBTXfiLTvGfgo2EsejwX+l614e1y21/VDr9q8tjp5b+k+iuipy1Kym1NUp4HGYTFwVRqvjJ4rhzKuG4TxGJSU5UMNhMurxo4VQhy0MdVpRxCxEI5gXUqOpPG1HGDlicdLF0YygpUMJCpxVjeKa0KVB2g6+IxGIwtOviea9StgaWI9hGjVrYGt8hfsKfssp+xt+zN4B+Bc/ih/G3iDRpNe8ReNPFxhmtoNf8AGvjHW77xH4ju7C0nkkkt9Lt73UDp2mCQRz3FjYwXt5DHfXV0tbtfUFfL9aVq0q9WVWahFy5EoUoRp0qdOnTpUaNGjTj7tKjQoUKFCjTj7tOjRpwTfK3LCnTVOHKpTm3KpUnUqzlUq1atatWxFevWqStKpWr4jEYjEVqjSc61erLlipKMfyN/4Ltf8oqf2p/+6If+tHfCGv8AOpr/AEVv+C7X/KKn9qf/ALoh/wCtHfCGv86mv1rgD/kT4n/sZVv/AFGwp+Ucef8AI3w//Yupf+pGJCiiivuT4kKKKKACiiigAr/RW/4IS/8AKKn9lj/ut/8A60d8Xq/zqa/0Vv8AghL/AMoqf2WP+63/APrR3xer4bj/AP5E+G/7GVH/ANRsUfbcB/8AI3xH/Yuq/wDqRhj9cq1Nc/5DWsf9hTUP/SuasutTXP8AkNax/wBhTUP/AErmr8gP1o4Txv4k/wCEN8F+L/F/2L+0f+EV8L6/4k/s/wC0fY/t/wDYelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W3T1zHjfxJ/whvgvxf4v+xf2j/wivhfX/En9n/aPsf2/+w9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tunrBS/wBpnD2t7YanP2HJ8PNiK0Pbe068/L7H2d/d9n7S3v3PRlRtlFDE/U+XnzbF4f8AtH6xf2vs8swFf+z/AKrf3Pq/tvr31q373639Wu/YWWpN/wAgXT/+wprH/pJodZdak3/IF0//ALCmsf8ApJodZdbnnBWpo/8Ax9zf9gvXP/TLqFZdamj/APH3N/2C9c/9MuoUAZdFFFABWprH/H3D/wBgvQ//AEy6fWXWprH/AB9w/wDYL0P/ANMun0AZdFFFAGpp/wDx6a5/2C4f/T1o9Zdamn/8emuf9guH/wBPWj1l0AFFFFAGprn/ACGtY/7Cmof+lc1Zdamuf8hrWP8AsKah/wClc1ZdABWpN/yBdP8A+wprH/pJodZdak3/ACBdP/7Cmsf+kmh0AZdFFFAGpo//AB9zf9gvXP8A0y6hRof/ACGtH/7Cmn/+lcNGj/8AH3N/2C9c/wDTLqFGh/8AIa0f/sKaf/6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV8v19QV8v0AfKH7cP7WP/DDv7LPxW/ag/wCEB/4Wf/wra18K23/CD/8ACVf8IV/bX/Cf+OvDHwz3/wDCTf8ACOeLf7O/sn/hMv7b2/8ACP3/ANv/ALN/s3dZfbPt9r/OV/xFP/8AVin/AJs7/wDk9V+uX/Bdr/lFT+1P/wB0Q/8AWjvhDX+dTX6PwfkOU5pltfEY7C+3rQxtSjGftsRTtTjRoTUeWlVhF2lOTu1fWzdkrfnfFue5plmY0aGBxXsKU8FTqyh7GhUvUlWrwcuarTnJXjCKsnbS9rt3/rk/4in/APqxT/zZ3/8AJ6o/4in/APqxT/zZ3/8AJ6r+Ruivq/8AU7h3/oX/APl1jP8A5oPl/wDW7iH/AKGH/lrg/wD5Qf13Xn/B1R9rlSX/AIYQ8vZa2Ntt/wCGoN+fsVlb2e/P/DPC48zyPM24Ozfs3Pt3Gr/xFP8A/Vin/mzv/wCT1X8jdFH+p3Dv/Qv/APLrGf8AzQH+t3EP/Qw/8tcH/wDKD+uT/iKf/wCrFP8AzZ3/APJ6q0n/AAdUbLK4s/8AhhDPn3Vnc+Z/w1BjZ9kivotmz/hng7vM+27t24bPLxtbflP5EaKP9TuHf+hf/wCXWM/+aA/1u4h/6GH/AJa4P/5Qf1yf8RT/AP1Yp/5s7/8Ak9V/RX+wl+1R/wANr/sqfCz9pv8A4QT/AIVp/wALM/4Tj/iif+En/wCEy/sT/hDfiP4v+H//ACMn/CPeFP7S/tL/AIRT+1/+QBYfY/t/2D/Svsv225/y8K/0Vv8AghL/AMoqf2WP+63/APrR3xer5TjDIcpyvLaGIwOF9hWnjadGU/bYipenKjXm48tWrOKvKEXdK+lk7N3+o4Sz3NMzzGtQx2K9vShgqlWMPY0Kdqka1CClzUqcJO0ZyVm7a3tdK365Vqa5/wAhrWP+wpqH/pXNWXWprn/Ia1j/ALCmof8ApXNX5wfohwnjfxJ/whvgvxf4v+xf2j/wivhfX/En9n/aPsf2/wDsPSrvU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbp65jxv4k/4Q3wX4v8AF/2L+0f+EV8L6/4k/s/7R9j+3/2HpV3qf2L7X5F19l+1fZfI+0fZrjyPM83yJtvlt09YKX+0zh7W9sNTn7Dk+HmxFaHtvadefl9j7O/u+z9pb37noyo2yihifqfLz5ti8P8A2j9Yv7X2eWYCv/Z/1W/ufV/bfXvrVv3v1v6td+wstSb/AJAun/8AYU1j/wBJNDrLrUm/5Aun/wDYU1j/ANJNDrLrc84K1NH/AOPub/sF65/6ZdQrLrU0f/j7m/7Beuf+mXUKAMuiiigArU1j/j7h/wCwXof/AKZdPrLrU1j/AI+4f+wXof8A6ZdPoAy6KKKANTT/APj01z/sFw/+nrR6y61NP/49Nc/7BcP/AKetHrLoAKKKKANTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasugArUm/5Aun/9hTWP/STQ6y61Jv8AkC6f/wBhTWP/AEk0OgDLooooA1NH/wCPub/sF65/6ZdQo0P/AJDWj/8AYU0//wBK4aNH/wCPub/sF65/6ZdQo0P/AJDWj/8AYU0//wBK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigD8YPDX/BTfwD8C/hv8evij8fPH/wAZ/i94W0H/AIKC+Of2WtFnsvgf8MfB2pfDJodJh1fTvDFjpXg74iahcfEH4e+EbPTtTmj+IWoLH8T/ABJJerby+AGlgt0fr73/AIKheCviv8Of2yfB/wAOvBfx+/Z6/aN+An7M/wASvjN4f8L/ALRPwm0/wF4nutO0jwlq9zoXjzw94Y1fUvFMGoaRpett4duZLPxdpenG+g1fTnXR9TsDqYs/h/xV+wF+1tqXw18a+H7L4Tedq+rf8Fpn/a00+0/4Tv4Zx/aP2fTZvEPH/ny+Mo7WL94Qv/CKzzReNu//AAje3mvqH9pj9kf9oX4g/to/tW/Fnwh8Pv7X+H/xK/4JafEv9nLwVr//AAlfgiw/tr4zeINXu7rSPBv9lan4lstb077XBKkn/CQ6tpth4Vt92261yFwVHDU9tUyiXN7RYmplFShBUuajXw+JwnhtwjnNCunC9WriK/E9bOMomqz56uJjicPKrVzLDznLuh7GnmqlH2boUs9oV5e15auHxODq+I9LKKtBxly0qeFhwzJ5rKVFckcLSeIjSp4CpXTo/sbf8FcvBXjHwP8AsheBvjv4d/aCk+IHx40jw34NH7SWufBGPwZ+zv42+NV9Hd2l94Q0Lxfb/wDCOWeo603iG2PhqVvB3gmfwrba04H9pw6XDeajbeB/Hv8A4KH/ABk+GvwV8Y/Ejwl+0L401SHwb/wVok/Z08aar4o+APwm8OT+FPgzpWjahq3ij4U+GNH8N3HxOl8deHtKtrOOfSfiXd2Ph74ra/I81sdI0uSKCO89P8TfsW/tL6h+yr/wSH+G1n8NfO8afsvftCfs/wDjj46aL/wmPgCP/hBvC3ghL8eKNU/tGXxUmk+Jv7MM0X+heD77xBqN7u/4l9pd7Wx4D8TP2B/23Lv4K/FLRvh98I9BuviRqP8AwWN1f9rjwHYeKvHHw8Phi7+ES6LdR6D498RvB4vLroTax9kTV/CUTj4gGwNwbfwyZdleziHS/tOdRSjTpUc7w9GVSjSjUw9bA4bjDw9rfWY4KN6EqMspx/EFKtSov2eLwOWYxVKrhLM6c/Jw8ZrL6FOXM54jK415Rq1HCvhsVWyDxNwtShPFuE6yqQxmE4bxUalWnKeFxeNy+UcNVtliX33P/wAFRPhj8Ufh5+1N4V0fQf2lv2T/AI4/Br4AeMfi/Z6H8cvgR4f0j4nQ+E9O0W+aL4leAvhv4p8ZHw141h0DUBYTReH/ABfr3he31qa5tY3J0oapf2Hz94B/4Kc/FWb9qr9ir4EP4K+OnxT+HXxS/Zb+Gfjjxd4/079n7w9oviv4i+M/inpvhN7L4x6xp3h/xnrPhbwZ8IPBEOpzXfxMk8GXUun+B/E7eItI+3+KNJ0rTtnM+Ov2ZP26P2ufiP8AtLftF/GT9nHwz+z5rsf7B3xS/ZX+Cvwb034z/D/4meJPiF4y8b/2rqkWv6j420caX4W0rw9Jcanf6dbW/iG/8O3Gm3c+nO8ctmNW1KXd8P8A7LX7YPwj+MP/AATk+J3hr4CWvxJ0vwJ+w54S/ZH/AGhNDh+Lnw/8Fav8Ib66XQbbxP4sj1K/1W+tvGK+Horq/u7Kx8DjXm1mTQL+0gv7A3+j39xx0vaRlhKsqNOVaeIwvtMDLEp4avJ5J4lU8A62KavgqONxmE4Vq5gk4UMqxWaYOrjXehg6WE6MQ4uhioQlOKjSzFwrxoN4jCyjLgWviadGhGo/r88A63EWHy+TqTnm1PLsVh8HOdTFYrF4v6Vk/wCCyX7KS+NLzTY/Cn7Qlz8F9O+II+F+o/tg2vwkuJ/2SrHxkRBA2n3PxVTW/tsdsus3Vtof9p/8IsdPkuLiDWobmXwhPD4lf0Txx/wUq+F/h79pnxh+yH4d+EH7THxD+LXhC48Aw6/q/wAL/hjoHjHwT4b0H4jaBpuuWfxG1zX38cWEeheBPCMeu6Jb+LNY8TWej+Re6hBFpNprdol3d235cQ/sZ/8ABRSw/ZL1f/glHB8B/hjefBDUPH93bWX7cUvxe8N/2Pa/C2/+JcXxhlvLz4EXZuviRceOY9SN1oKNbvDp9tqctvZ2/nadZ/8ACwbr9E/2cf2WPif8KP21f25fiNqXhSaL4V/En4S/s0+Afg940v8AxD4Y1LUvFrfDL4UReEfEkN1Y2us3PiTSZrTVLS1iu7jxHpekW+qTqLyxkvIFE65V1fC4l051K1Onlmc18NV5J4XFZrUw/CWEx1CnUwsGq+UV/wDWPE4jKqFKlN4nFQpzhhufFYJZhidHaNepFKMJfWsNRUFKOJo4KnU4veW0sTTxLjGlmca3DcVm+JhOEaGElGNSuqGHxTwOH9B/Yp/as8KeJf2EvA37THx0/aHg1HwtLeeMIvE/x3+PPhj4U/s0W2Lf4s694E0SPxPoPhnxrr/w08IKmpLpPhDQ5LbxdcP4imOk3NwsGu61Jpsf0L/Yetf9AfVP/Bfd/wDxmvAf+CWHwN+KX7OH7Dnwf+D3xn8L/wDCG/EbwtffEybXvDv9t+HfEX2GPxB8VPGniTSG/tfwpq+u6Fdfa9F1bT73Fnqdw1v9o+z3Qhu4p4I/aq9LMFSWNxCoOEqKlS5HBwcGvquBcuV04xhpUdZPlivejO95Kbly0HNxq86af1vMVG99aSzTNI4drmbfJLDRw0qdrQdOVN04xpOlCH5Of8F4dK1S2/4JS/tUzXGm39vCn/Cjt801ncRRJu/aQ+D6LukkjVF3OyquSMswUckCv85qv9Fb/gu1/wAoqf2p/wDuiH/rR3whr/Opr9T4A/5E+J/7GVb/ANRsKflfHn/I3w//AGLqX/qRiQooor7k+JCiiigAooooAK/0Zf8Agg9pWqXP/BKX9laa302/uIX/AOF47JobO4lifb+0h8YEbbJHGyNtdWVsE4ZSp5BFf5zVf6K3/BCX/lFT+yx/3W//ANaO+L1fDcf/APInw3/Yyo/+o2KPtuA/+RviP+xdV/8AUjDH7Df2HrX/AEB9U/8ABfd//Ga0tY0fV5dX1WWLStSkjk1K+kjkjsbp0kR7mVkdHWIqyMpDKykhgQQSDXM1qa5/yGtY/wCwpqH/AKVzV+QH60cr46vNX8E+CPGXjOXw9qV7H4R8K+IfE8llJFdWKXaaBpF5qr2r3zWdytmlwtoYmumt7gW4czGGUJ5bdV/Yetf9AfVP/Bfd/wDxmuE8b+JP+EN8F+L/ABf9i/tH/hFfC+v+JP7P+0fY/t/9h6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bdPWCl/tM4e1vbDU5+w5Ph5sRWh7b2nXn5fY+zv7vs/aW9+56MqNsooYn6ny8+bYvD/ANo/WL+19nlmAr/2f9Vv7n1f231761b979b+rXfsLLppdH1c6RYxDStSMialqsjxixui6pJbaOsbsnlblSRopVRiAGMcgUko2M3+w9a/6A+qf+C+7/8AjNE3/IF0/wD7Cmsf+kmh1l1uecan9h61/wBAfVP/AAX3f/xmtLStH1eO5laTStSjU6brEYZ7G6UF5dIvookBaIAvJI6Rxr1d2VFBZgDzNamj/wDH3N/2C9c/9MuoUAH9h61/0B9U/wDBfd//ABmj+w9a/wCgPqn/AIL7v/4zWXRQBqf2HrX/AEB9U/8ABfd//Ga0tV0fV5LmJo9K1KRRpujxlksbpgHi0ixilQlYiA8ciPHIvVHVkYBlIHM1qax/x9w/9gvQ/wD0y6fQAf2HrX/QH1T/AMF93/8AGaP7D1r/AKA+qf8Agvu//jNZdFAHTWOj6ultrCvpWpK0umxRxK1jdKZHGr6VKUjBiBdxHHJIVXJCRu+NqsRm/wBh61/0B9U/8F93/wDGaNP/AOPTXP8AsFw/+nrR6y6ANT+w9a/6A+qf+C+7/wDjNH9h61/0B9U/8F93/wDGay6KAOm1jR9Xl1fVZYtK1KSOTUr6SOSOxunSRHuZWR0dYirIykMrKSGBBBINZv8AYetf9AfVP/Bfd/8AxmjXP+Q1rH/YU1D/ANK5qy6ANT+w9a/6A+qf+C+7/wDjNaUuj6udIsYhpWpGRNS1WR4xY3RdUkttHWN2TytypI0UqoxADGOQKSUbHM1qTf8AIF0//sKax/6SaHQAf2HrX/QH1T/wX3f/AMZo/sPWv+gPqn/gvu//AIzWXRQB02laPq8dzK0mlalGp03WIwz2N0oLy6RfRRIC0QBeSR0jjXq7sqKCzAE0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFZuj/APH3N/2C9c/9MuoUaH/yGtH/AOwpp/8A6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV8v19QV8v0Afkb/wAF2v8AlFT+1P8A90Q/9aO+ENf51Nf6iP7dnxp/Z8/Z5/ZS+LXxf/an+Fr/ABp+BHhO18JxeNvhpH4I8E/EZ/EU/iXx74W8JeEJB4N+Iuq6J4O1f+wvHGu+GvEZfV9Ttn0saQdY0wT6vp9hbTfzY/8AD5D/AIIG/wDSMa7/APELv2Mf/noV+i8I5ticBltajRyfHZhGWNqVHWwtTDRpxk6NCLptVpxlzpRUm0uW042d7n5/xXlNDH5hRrVc2wWAlHB06ao4mGJlOSVavL2idGEo8rcnFJvmvF3VrH8nlFf1h/8AD5D/AIIG/wDSMa7/APELv2Mf/noUf8PkP+CBv/SMa7/8Qu/Yx/8AnoV9T/rHjv8Aomc3/wDB2A/+WnzP+reE/wCijyr/AME47/5UfyeUV/Wbef8ABZX/AIIDzSo9v/wTCu4oxa2MTL/wxX+xcmZ4LK3huZNqfFEqfOuY5Zt5O+Tf5kgEjMBV/wCHyH/BA3/pGNd/+IXfsY//AD0KP9Y8d/0TOb/+DsB/8tD/AFbwn/RR5V/4Jx3/AMqP5PKK/wBHz9kP4Rf8Ezf20v2d/h7+0x8Lf2Dv2d9A8CfEr/hLP7C0nx/+y98ANL8W2n/CHeOPE3gDU/7WsPDum+KtGg8/WfCuoXNh9j16/wDN0yaymuPst1JPZW/1LF/wT7/YKOkX0p/Yi/ZDMialpUaSH9mz4Ml1SS21hpEV/wDhC9ypI0UTOoIDGOMsCUXHlVOP8LRqTpVcpx0KlKcqdSEsRg+aE4NxlGVk1eMk07Nq63Z6VPgPFVYQq080wU6dSMZwnGhi+WUJpSjJXadpJpq6Wj2R/lvV/orf8EJf+UVP7LH/AHW//wBaO+L1fXP/AA7+/YN/6Ml/ZG/8Ru+Df/zGV9F+BPh/4D+FvhTSvAnwx8E+Efhz4H0L7d/Yng3wJ4b0bwh4U0b+09SvNZ1L+yvDvh+y0/SNP/tDV9Qv9VvvslnD9r1K+vL648y6uZpX+c4k4qw+eYGlhKODxGHlTxUMQ51atCcXGNKtTcUqSUk26iab0smt2j6Hh3hfEZJjauKq4uhiI1MNOgoUqVeElKVWlUUm6jcbJU2rLW7XRM66tTXP+Q1rH/YU1D/0rmrLrU1z/kNax/2FNQ/9K5q+JPszhPG/iT/hDfBfi/xf9i/tH/hFfC+v+JP7P+0fY/t/9h6Vd6n9i+1+RdfZftX2XyPtH2a48jzPN8ibb5bdPXMeN/En/CG+C/F/i/7F/aP/AAivhfX/ABJ/Z/2j7H9v/sPSrvU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbp6wUv9pnD2t7YanP2HJ8PNiK0Pbe068/L7H2d/d9n7S3v3PRlRtlFDE/U+XnzbF4f+0frF/a+zyzAV/7P+q39z6v7b699at+9+t/Vrv2FlqTf8gXT/8AsKax/wCkmh1l1qTf8gXT/wDsKax/6SaHWXW55wVqaP8A8fc3/YL1z/0y6hWXWpo//H3N/wBgvXP/AEy6hQBl0UUUAFamsf8AH3D/ANgvQ/8A0y6fWXWprH/H3D/2C9D/APTLp9AGXRRRQBqaf/x6a5/2C4f/AE9aPWXWpp//AB6a5/2C4f8A09aPWXQAUUUUAamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNWXQAVqTf8AIF0//sKax/6SaHWXWpN/yBdP/wCwprH/AKSaHQBl0UUUAamj/wDH3N/2C9c/9MuoUaH/AMhrR/8AsKaf/wClcNGj/wDH3N/2C9c/9MuoUaH/AMhrR/8AsKaf/wClcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFct438b+Efht4R8R+PvH3iPSfCPgzwjpN5rviXxLrt5FYaTo2k2ETTXV7e3UxCRxxouEQbpZ5Wjggjknljjb8kPDn/BW/4YfHb9sj9kr4GfsoeNvh58VPhV8Y2+NVh8XtY1Pwj8SPD3xC8I6x8Pvh//AMJl4Uj0DT/FUngubTtN1uTzI5dV1bwbr+l6xHZapYaNqNvqOlal9kdFe3xNPB0vfxFR/BHX2UXh8wxMatdq/sKM6eV4uMKtSKhOtGnSWtWM4lX9zhq2Lq+5QoU51JTlp7T2dTCU506CdvbVovG0JOlB8yg5zbSpuMv2Yor4f8Hf8FJP2HfiB8d5f2avB37RHg/XvjImqX2hQeHLSw8Upo2p63p0Xm3ejaF4/ufD8Hw78Q6suHgh03QvFeo3t3eQXNhaQT3trc28XBePv+CuH/BO/wCF/ibxP4M8d/tI6RoPivwZ4+8Q/DPxR4ffwH8WL/VdG8YeFbmOz120u7TSvAd9J/ZFpdyG1h8WRCTwlqNzBeQaZrl5LY3iwRCUaiw0qcozjjKbq4SUJRlHE0lVo0HUw8k+WtTVbE4ek5wk4KeIoXko1qdSdSjKMsRCUZRlhJRhiotNSw05wrVIQrxa5qU5ww+IlCM1GUlQrKKlKlUpw/R2iviO2/ajW5/bCPwfi+JnwEl+EL/smJ+0RDbR2/xKPxQe2k8Y2+lx/EP/AIT86d/woFvgy3h6bzAE8TnxudSePVfsf/CMh7wZPwZ/4KX/ALE/7SHjbX/hb8B/jzoHjr4l6NoPiLXYPDcnhjx/4cj1W28NIx1KTQNU8W+FvDui+KltVBvZIPDGq6nczaPDd6zbI+k2lzfQzVqRpUZ1Zqd6eCzDMKlCMJSxUMJldfNcNjqssMkqi9jWybMISXSVFxk6dSNejg0lzTjFShySq5fRhXc4rDTq5ph8HisFCFdvkk61HH4ScbKzVaDg6tOdKrX+8q+X68O/Yp/bbtvjB+wl4G/bA/ae8TfCD4L2erXnjC38Z+JbrWo/hz8KvDiaV8Wde+Gvhoz6z8QvFmpxaQ2sT2mh6eh1XxNINQ8RapHaWCxve2dgv0L/AGHrX/QH1T/wX3f/AMZrqr0KmGrToVUlUpuKkoyUo3lTo1VaSST9zEU76aNyX2W3nCcaik43tCriKLurfvMNicThKqXdKthKyjLaUVGaSU0l+Mf/AAX2/wCUSv7WP/dCf/Wlvg3X+bPX+lP/AMF/dK1S2/4JIftZzXGm39vCn/CiN8s1ncRRJu/aY+DSLukkjVF3OyquSMswUckCv81iv0rgr/kVYj/sPq/+mMOfnnF//Iyof9gVP/09XCiiivsD5UKKKKAP9Jj/AIIE/wDKJX9k7/uu3/rS3xkr9nIf+QLqH/YU0f8A9JNcr8cv+CAWlapc/wDBJD9kya302/uIX/4Xvslhs7iWJ9v7THxlRtskcbI211ZWwThlKnkEV+z8Wj6uNIvojpWpCR9S0qRIzY3QdkjttYWR1TytzJG0sSuwBCmSMMQXXP4fm3/I1zL/ALD8X/6fmfsWWf8AIty//sCwv/pmBzNFan9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM1553GXWprn/Ia1j/ALCmof8ApXNR/Yetf9AfVP8AwX3f/wAZrS1jR9Xl1fVZYtK1KSOTUr6SOSOxunSRHuZWR0dYirIykMrKSGBBBINAHmXjfxJ/whvgvxf4v+xf2j/wivhfX/En9n/aPsf2/wDsPSrvU/sX2vyLr7L9q+y+R9o+zXHkeZ5vkTbfLbp6yfHV5q/gnwR4y8Zy+HtSvY/CPhXxD4nkspIrqxS7TQNIvNVe1e+azuVs0uFtDE101vcC3DmYwyhPLbqv7D1r/oD6p/4L7v8A+M1gpf7TOHtb2w1OfsOT4ebEVoe29p15+X2Ps7+77P2lvfuejKjbKKGJ+p8vPm2Lw/8AaP1i/tfZ5ZgK/wDZ/wBVv7n1f231761b979b+rXfsLIm/wCQLp//AGFNY/8ASTQ6y66aXR9XOkWMQ0rUjImparI8YsbouqSW2jrG7J5W5UkaKVUYgBjHIFJKNjN/sPWv+gPqn/gvu/8A4zW55xl1qaP/AMfc3/YL1z/0y6hR/Yetf9AfVP8AwX3f/wAZrS0rR9XjuZWk0rUo1Om6xGGexulBeXSL6KJAWiALySOkca9XdlRQWYAgHM0Vqf2HrX/QH1T/AMF93/8AGaP7D1r/AKA+qf8Agvu//jNAGXWprH/H3D/2C9D/APTLp9H9h61/0B9U/wDBfd//ABmtLVdH1eS5iaPStSkUabo8ZZLG6YB4tIsYpUJWIgPHIjxyL1R1ZGAZSAAczRWp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M0AGn/8AHprn/YLh/wDT1o9ZddNY6Pq6W2sK+lakrS6bFHErWN0pkcavpUpSMGIF3EcckhVckJG742qxGb/Yetf9AfVP/Bfd/wDxmgDLorU/sPWv+gPqn/gvu/8A4zR/Yetf9AfVP/Bfd/8AxmgA1z/kNax/2FNQ/wDSuasuum1jR9Xl1fVZYtK1KSOTUr6SOSOxunSRHuZWR0dYirIykMrKSGBBBINZv9h61/0B9U/8F93/APGaAMutSb/kC6f/ANhTWP8A0k0Oj+w9a/6A+qf+C+7/APjNaUuj6udIsYhpWpGRNS1WR4xY3RdUkttHWN2TytypI0UqoxADGOQKSUbABzNFan9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM0AGj/wDH3N/2C9c/9MuoUaH/AMhrR/8AsKaf/wClcNaWlaPq8dzK0mlalGp03WIwz2N0oLy6RfRRIC0QBeSR0jjXq7sqKCzAE0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFAHvVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+en/AAVT+BXxK/aP/YR+Onwo+EdjJrPj3VbHwprmjeG4ri2tZPFaeDfG/hzxbqPhyGW7xAbzUtO0W6XTLd5IBearHY2ZuIVuGkX8srfVvi9+1f8Atw/8E+PHfhj9hn9o/wDZc8K/Cn4QfHf4VeKvH3xP+CeoeC9I8K+INU+Bus6Zomi2lvYLOulfDHwhq2q2dr8O9Z8VQ+FYPE+pa7rGjaBo9pe6Vq9ov9LFFZRo074iNVSq4fE1pYmdDmdJxxFThzPeFatSGIpL2yjPKc+rpUWnCniqFHE05JzrUamk6s3TpqnanWpYbE4OFblVVfV8TmuS51KMsPUXsZzjj8iwko1JXlKhOrh6kZw9lOl/HV+yn+xV8YbDxb+zl+zl8TfhF/wVDPjH4MftEQeM/FF7efF/Q/A3/BPnwDZeC/GOq+JrP4u/CnVtW+FXjyw8UeILm3vTOvhXQbjQ9Y8TanrevnSfHthcahdRW3214W/Z4+J4/Z3/AOC69jqPwM8ejxV8ZPjh8fdR+F9ne/DLxCPEHxV0T7JrGoeCL/wFbz6J/aPjjSv7ZvZr7wrdeHk1S0/tO7ludIk+13Du/wDR3RVV4yxOGxFCrO88XleY5dia0IRpqpPMcRwxWq4yNBOVOlUhT4WwlFUY1KtKp9axNSdRKlgaGDKM1QxMK9OPu0sfgMdRpTnOfs44GpxJiI4eVaT9pVjVxPEuJqzrShTqx+q4X3ataeMxeJ/mN8E/Bj9qDwz4y8La/wCEP2efFOu+ItL/AOCDfhb4R6bpHxI+GepSeAr/AOMcOqaCLz4Q+LLfxdpdv4VvvF62SXj6h8M/Es8d1qMUMlhrGmCwmuRXjn7LXwu/aL8Wftj/ALCvxf8AHHwg/b9t9I8G/Dj4u+AvH158dPg74a+GHwZ+GHjy2+Ac/h6y8O/Az4KfDTw5pek/BL4KXEV/oui6Pq+q6N4d0/x74gjhh0+I614e8TQQf1q0VtiZvFV8VWmuV4mnmkFFNtUHm1bj6piZU3K6dqfH+MppTpupKWVZdU+s0adTHYPE4QgoUI4eLaiqeEpTei9rHB4bIcPSc47OV8gw8rqcYKnisXQdGrfD4jC/mR/wR48A+Ovhj/wT2+B/gr4k+C/Fnw98ZaTqPxYfVfCXjjw5rHhPxNpial8YvHup6c+oaDr1nYarZLf6beWmoWTXNpGLqxura7gMlvPFI30vX1BXy/WuKxEsViKuIlFQlVcG4xbcVyUcNRVnLV3WGjJ36zklooip01TU0m3z18XXd0laWLxuNxsoq3SE8bOnFvVxpxlL3pSPx3/4L7f8olf2sf8AuhP/AK0t8G6/zZ6/0mP+C+3/ACiV/ax/7oT/AOtLfBuv82ev0jgr/kVYj/sPq/8ApjDn57xf/wAjKh/2BU//AE9XCiiivsD5UKKKKAP9Jj/ggT/yiV/ZO/7rt/60t8ZK/ZyH/kC6h/2FNH/9JNcr8Y/+CBP/ACiV/ZO/7rt/60t8ZK/ZyH/kC6h/2FNH/wDSTXK/D82/5GuZf9h+L/8AT8z9iyz/AJFuX/8AYFhf/TMDLooorzzuCtTXP+Q1rH/YU1D/ANK5qy61Nc/5DWsf9hTUP/SuagDhPG/iT/hDfBfi/wAX/Yv7R/4RXwvr/iT+z/tH2P7f/YelXep/YvtfkXX2X7V9l8j7R9muPI8zzfIm2+W3T1zHjfxJ/wAIb4L8X+L/ALF/aP8AwivhfX/En9n/AGj7H9v/ALD0q71P7F9r8i6+y/avsvkfaPs1x5Hmeb5E23y26esFL/aZw9re2Gpz9hyfDzYitD23tOvPy+x9nf3fZ+0t79z0ZUbZRQxP1Pl582xeH/tH6xf2vs8swFf+z/qt/c+r+2+vfWrfvfrf1a79hZak3/IF0/8A7Cmsf+kmh1l1qTf8gXT/APsKax/6SaHWXW55wVqaP/x9zf8AYL1z/wBMuoVl1qaP/wAfc3/YL1z/ANMuoUAZdFFFABWprH/H3D/2C9D/APTLp9Zdamsf8fcP/YL0P/0y6fQBl0UUUAamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9ZdABRRRQBqa5/yGtY/7Cmof+lc1Zdamuf8hrWP+wpqH/pXNWXQAVqTf8gXT/8AsKax/wCkmh1l1qTf8gXT/wDsKax/6SaHQBl0UUUAamj/APH3N/2C9c/9MuoUaH/yGtH/AOwpp/8A6Vw0aP8A8fc3/YL1z/0y6hRof/Ia0f8A7Cmn/wDpXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXy/X1BXl3gj44fBb4m+IfFPhL4b/F/4XfEHxX4GuJLPxt4Z8EeP/CfizxD4Ou4r650yW18U6LoOrX+peHriLUrK80+SDVra0lS+tLm0ZRPBLGgvelyR96fJKpyR1n7ODSnU5FeXs4OUVOpy+zg5RU5wcopj0jzPSPPGnzPSPtJ3cKfM7R9pNRk4Q5ueaTcYSs7fLvxs/Z7+EH7VHws8YfAf48+Ef+E7+FPjewtpvFHhX+3/ABP4X/tOXwhqVl458Ot/bng3WvDviSy/s/xT4a0TVNun6xaLd/YvsV8LnTrm7tJ/zK/4cE/8Elf+jT//ADO37S3/AM+Sv3D+PUnwOt/h6uo/tEeJPBvhL4aeHPHPws8dP4g8feN7f4e+GdK8b/DX4meEviR8LtQvPE11rfh+1im034leEvCmp2el3mpf2dr91ZRaHqthqul6he6XedWnxR+Gcnw9Pxbj+IvgWT4UjQJPFZ+JqeLvD7fD0eF4oWuJfEh8aLqB8NjQI7dHnk1j+0v7OSFWla5CKWHTRzDF4WnVWHxuIw9GnOMq/scTOlSpzqRXI6zhUjCnOpCK5HVlTlUik4c8Vc562BwuIqU3XwlCvVqRlGj7WhCpUqQpyfMqSlCU6kacpPm9mqihJtS5G7H4I/8ADgn/AIJK/wDRp/8A5nb9pb/58lH/AA4J/wCCSv8A0af/AOZ2/aW/+fJX75/D/wCJPw6+LHhq28Z/Czx94K+Jfg+8uLuztPFfw/8AFWheMvDV1d2EzW1/a22u+Hb/AFLS57iyuFaC7giumltplaKZUcFR2tdEs1zaLtLMcwi7J2lisTF2lGMou0pRdpRlGUXa0oyjKLcZRlLBZblkleOBwMldq8cPh5K8W4yV4xavGUZRkr3Uoyi0pRlGP882pf8ABAL/AIJIW9xHHF+yZsRrDSpiP+F7/tMNmW50uzuJmy3xlY/PNLI+0Hau7agVAqih/wAOCf8Agkr/ANGn/wDmdv2lv/nyV/RRWH4m8T+G/Bfh/WfFvjHxDofhPwr4d0661fxB4m8TatYaD4f0LSbKJp73VNZ1nVLi107TNOtIVaa6vb25gtreJWkllRASJlnGZxTlLNMbGMVeUpY2tGMVoruUqsYpXaV3JLVa6q9LKsuk1GOXYOUm7KMcJSlJvXRRjTk29Hok3o9NHb4Z+APwB+En7L3wk8J/Av4F+E/+EG+Ffgb+3v8AhFvC39veJvE39l/8JN4m1nxhrf8AxO/GGs+IPEd79t8R+INX1H/iY6vd/Zvtf2S0+z2Nva2sPu0P/IF1D/sKaP8A+kmuV6v8P/iT8Ovix4atvGfws8feCviX4PvLi7s7TxX8P/FWheMvDV1d2EzW1/a22u+Hb/UtLnuLK4VoLuCK6aW2mVoplRwVHmHxK8X/ALM3w++Lnwv8ZfFv4kfC74f/ABfl8KePfhl8Jf8AhPPifo/gzWtd8N/EvxN8LNV8c+HvC/hfW/Eel2fiy41rxP8ADX4XZuYNH1XWNMu9Ns9O0m70+LX9VtdV46jqTqpVXOVevUikqnM61atWtOCjGS9rVq1lJThGMKlSqpKUI1FJSfVBU40n7NQjRo05NuHKqVGlRvCTlKL9nSp0uVxnKUoQpuLjOUHFpYdFe++LvGPhH4f+G9X8ZePPFPhzwT4Q0C2+2694q8Xa5pnhvw3olmZY4Bd6vrms3Vlpem2xmmih8+8uoYvNljj373UHX07UdP1fT7HVtJvrPVNK1SzttR0zU9OuYL3T9R0+9gS5s76xvLZ5ba7s7u2ljuLa5t5JIJ4JElid43VjC15ra8jgp215HUjOdNTtfldSFOpKmpcrnGnUlBTjCcoW9OW+nMpON9OZQlGM3G9uZQlOEZuPMoSnCM3GU4Rn811qa5/yGtY/7Cmof+lc1fRlFAHxx438Sf8ACG+C/F/i/wCxf2j/AMIr4X1/xJ/Z/wBo+x/b/wCw9Ku9T+xfa/Iuvsv2r7L5H2j7NceR5nm+RNt8tunr27x98Rvh78KvDN541+KHjvwb8N/BunTWdvqHi3x94n0Twf4ZsZ9QuorKwgvNe8Q32naVazX17PDaWcc92j3N1NFbwq8siIdTwt4q8L+OPDuj+L/BXiTQPGHhPxDYw6noHifwtrGneIPDuuabcDdb6jo+taTcXem6nYzqC0N3ZXM9vKOUkYVEYzlUqTU+alCFKnOnGKapVpzqVIzqTjdwlWpWjTp1OTmjTdSmp3k10SqYdYSjQeG5MXLFYiusW6s06+E+rYehHCww8koOOGxUK2JniKbnJyxKw9XkjThzeIzf8gXT/wDsKax/6SaHWXW5c+L/ANmbwb+0Pf2uo/Ej4XeHv2l/iv4E+HngmTwZq/xP0ex+IvjDwL8PNa+Knib4f2WjfDXUvEaXlxb6ZrHxJ+KV9Bq2heG0v9XXUb2DU7/UbTw/pcGk9R8Rfj/8B/g/quhaF8WvjZ8I/hdrfihHk8M6P8RfiR4N8E6r4ijjuYrOR9C0/wAS6zpl3q6R3c8Fq7afDcKtzNFAxEsiKbj73suX3vb1XRocvve2rKbpujR5eb21ZTTg6NH2tVTTg6SmnBc8vd9pze77Gmq1bm932NFx51Vq83L7Kk4e+qtX2VJw99VHD3jzutTR/wDj7m/7Beuf+mXUK+jKKAPl+ivqCvLvHnxw+C3ws1rwv4b+J3xf+F3w58ReOLg2fgrQfHnj/wAJ+ENa8YXa3dnYNa+F9L8Qatp194guFvtR0+yMGkwXcou76ztyvnXUCOLWUILWdScadOC1nUqT0hTpxV5VKk2moU6cZ1JNNRhJppD0jOT0jThKpUk9I06cdZVKknaMKcVrKc5QhFaynFanmFamsf8AH3D/ANgvQ/8A0y6fX0ZXz38DPF/7M3m+OPhd+z/8SPhd4m1Hwx47+Jfjb4h+DPBHxP0fx94h8K+Ovir8UPGPxD+I174p06DxHr+ueGrjW/if4n8Y30mk6ithYaPfT3OgaNYaZpumWulWQvelyR96fJKpyR1n7ODSnU5FeXs4OUVOpy+zg5RU5wcopj0jzPSPPGnzPSPtJ3cKfM7R9pNRk4Q5ueaTcYSs7YdFekaL8evgZ4k+Imr/AAh8O/Gf4T6/8WPD4vm174X6L8RfB+q/ETRF0wwrqR1fwVY6xP4l00acbm3F8bzTIRaG4hFx5ZlTd6xQtYQqLWFROVOa1hUipODlTmrwqRU4yg5QnOKnGUHJSjKMR6SlB6Tg1GcHpOEnFSUZwdpQk4yjJKcYNxlGSTi1J/Oen/8AHprn/YLh/wDT1o9ZdfUFFAHy/RXp+r/HD4LeH/iLo3wg174v/C7RPi14jt4Lzw98LtX8f+E9N+IuvWl0t61tdaN4JvNWh8S6pb3C6bqLQT2OmTxSrYXpjZhaz+X6XcXEFpBPdXU8Nta20Mlxc3NxIkMFvBCjSTTzzSMscUMUatJJJIypGiszMFBNJyiqftnKKo/vP3rklS/cuSrfvW1S/cuMlW/efuXGSq+ycZKLSbn7JJur+7/dJN1P3qTpfu0nU/eqUXS/d/vVKLpe0Uk38865/wAhrWP+wpqH/pXNWXXRfs1+J/2btQ+FXhTwH+yz8Qfhp47+FXwa8NeFPhV4etvhl8StK+KWm+ENC8H+HNO0bwv4Y1HxFYeIvE+oSX1h4cstOjSTxBq13rd9bql9fXN3PPJcy+nyfELwDD46t/hfL448HxfEu78Nv4ytfh3J4l0VPHVz4Qiv30qXxVb+EmvRr83huPU43019cj09tMS/R7NroXCmMU4yUowcZKc4uUIOLUpxVOVVyhFpSnFUoTquUIyiqUJ1XJUoyqRlNOMpJpxg2pyTTjBqcKTU5JuMGqlSnTanKLVSpTptKpUhTn4dWpN/yBdP/wCwprH/AKSaHX0ZRSGfL9FfUFeXeCPjh8Fvib4h8U+Evhv8X/hd8QfFfga4ks/G3hnwR4/8J+LPEPg67ivrnTJbXxToug6tf6l4euItSsrzT5INWtrSVL60ubRlE8EsaC96XJH3p8kqnJHWfs4NKdTkV5ezg5RU6nL7ODlFTnByimPSPM9I88afM9I+0ndwp8ztH2k1GThDm55pNxhKztwmj/8AH3N/2C9c/wDTLqFGh/8AIa0f/sKaf/6Vw10/x6k+B1v8PV1H9ojxJ4N8JfDTw545+Fnjp/EHj7xvb/D3wzpXjf4a/Ezwl8SPhdqF54mutb8P2sU2m/Erwl4U1Oz0u81L+ztfurKLQ9VsNV0vUL3S7zoLr4wfCSx+HCfGO9+KXw5s/hFJpdprcfxUuvG/hm3+HD6LqFxDaWGrp44l1NPDDaXe3Vxb21pfrqhtLm4nhhhleSVFZc0VGpNyioUnCNWTlFRpSqK9NVZNqNJ1FrTVSVN1FrTU1qPlk5U4qLcqqk6UUm5VVB2m6UUuaooPSbpxqKD0m4PQ9ForyX4X/H34E/G9taX4L/Gr4S/F5vDY09vES/C/4j+DvH7aAurG8GlnWh4U1nVjpQ1I6dqA0833kC8NjeC38z7LPs9aqnGUbc0ZRvGMlzRlG8ZJuMlzKN4ySbjJXjJJuMpJNqVJO9mnytxlZp8skk3GVm+WSUotxdpJSi3FKUWyiiikMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+UP27fE3iPwZ+xb+1V4q8IXl3p3ibQfgD8VdS0TUbC6SyvtOv7fwbq7Q6jZXbq32e6sObu3lQCVJYUMLJNsdfwq+Afwx+HnwM+L/wDwQb8XfBHwX4d8MeLfjh8C/ibZfGjUPCtpp2k6n8RdP1D4KeEfFmrap46utMhguvE9xoniDVtW1a2udakvJrSTTLSxjkSLTLeKH+m7X9B0bxToWteGPEem2ms+H/EWk6joWu6RfxLPY6ro+rWk1hqenXsDfLNa3tlcTW1xE3EkUrqeDX54/s5/8Et/2e/2aPiTafE7wt4y+PPjrVPCnh3xJ4Q+Deg/Fn4oS+NvCn7PXhbxZc3k2t6F8FNKfRdOn8M2tza3n9mfaNXvvEWoixiLNfPf32rX2ozhHLDY+pinDmiquXYyEoSjGrWjlmV8ZYOpk0uZfu8PmuI4hwFaddyeGpPD4meJpTqUsHNPFWr4GGGi/e9nm+GlCSfsoyzb/VpYfM21fmq5T/Y2KqU6UIxxE5VMPHDVaTniZL58/wCChHh7Qfip/wAFCf8Aglv8EfidoeleL/g14l139o3xf4i8DeKLfTdX8HeKfFXg74Zw3XhVfEHhvVLe5sdaGnXE0iW1vqMNzaTxape2SwN9ruFk/InUrZLf4e65+y7DYi3/AGZZf+C+Vn8Hz4aj1CCPwm/wvn1X+1rv4cpp5H2VPCllqNvZ6yum24j0+G+nW7lhaRY2X+hDxx/wTe+GHxJ+C3w2+E3jf42/tT+IvFvwf8aap48+Gf7TGofGRpf2oPB2u61qM93qK6V8Uv8AhHBAdOm0+ceHo7G78O3MVrotppv2Uw6tpWm6raTJ/wAEy/2Yl/ZTu/2SHtPHc/hG+8USfEe6+Jc/i55PjbN8YnvF1EfGlvHv9nrF/wALKjvkjmXUf7E/sR7dP7Jm0CXQ5JtMleEUcHNTlCOJhhsw+tSw6UYQziFfi/hXiVTr+2jKFKvleDyjF5fh44yOIpVq+Fy901DL8RiKdJ4t/WVOEZOi6+XLA08Q+Zyyuphsg46yT22HVNqrNZrW4jy3GV1h50p0KEMXCv7XG4bCSXzJ+wX4Z0D4S/8ABR7/AIKdfBX4V+GNH8HfBjRYv2ZPGOl+D/CdnZaL4M8JeMPE/wANpZ9cg0Hw3pMNro+iNrzNcT3dvYWluijRraHYqQIq/tFXyZ+yj+xv8MP2RdJ8cReDPEXxN+I3jT4n+IovFHxM+L3xr8Yt4/8Aix4/1Oyt5LLRR4n8UjTtHhu7XQNPlksdIt7fS7QRxSzz3TXd/c3V5N9Z1q7Rw2W4f2sq88FleCwVbESU4utWovHVJtKpKVR06KxlLCUZTfPOlg4zl8UG8vixGPrqnGjDFY6piKdGLg+SH1bLcNzS9nGFNVcTUwFbHVo04qMauNlG8pqrORX43f8ABZJRr3g39in4Ya2DcfDb4t/t7/s/eCfilpU11DBpfiHwhPf6tey6DrcEqkXulXV3awXssLt9mS40+2nnR2ihKfsjXz9+03+zP8MP2s/hNq3wf+K1vraaJe3+ma9oviLwpqzaB408EeLtCma68PeNPBevC3u10nxLoN0zzWNxcWV/YTRyXFjqenahpt3d2U+ErxrYGt7KOIjg81ynH1cNJwjHE0cBmOHxdaherGdHmnTp89JVoToyr4XDRrRdOc3HaNnTxlL2joyxWWZtgadeKm5Yetj8qzDA0MQlTlCpajWxVOUvZyjVVOdaVJqrGmfm9+wX4Z0D4S/8FHv+CnXwV+FfhjR/B3wY0WL9mTxjpfg/wnZ2Wi+DPCXjDxP8NpZ9cg0Hw3pMNro+iNrzNcT3dvYWluijRraHYqQIq/Ffx0+Gfw5+PP7RP/BdDxB8b/Cfh3xnr3wK/Zl+HNh8FL7xbbaRrN78OLKL4J+MvGkWp+BZ722lm8L303ivTrDUXvtKa11BZ9SvrWe5catdJP8ArR4E/wCCbvww+Gvwc+K/wv8ABnxu/ap0bxp8bfE+h+LPiZ+09b/GRh+1J4l1Pw5f2t1osVx8Ux4cEMFhZafbSeHvstv4ciFxoeoarDdPPf6jdag+X+0b/wAEuvgB+0v8QB8SPE/jj4++A9d13wdonw++Ldp8Jfii/grRv2g/BXh64spdL8O/G6w/sPU28V2cMNo9jJPplx4f1C4s7orPeyT6boM+kY4jDyrYfBYb2qnUw3DuK4feMqKpz08Rj8FTazikm5VuXLKsZ5PGkpRzCtgpzxeGqxi3Sqa0K8aVfF4j2PLDEZ3lec/VYOnapRyjH5bOrllZpQoXzyjg8Rjq1RQ+p0MRiJYfFQqzk6p+Tv7Z3wr+JPxv/wCCN3wm+PvxF+N/xL0/w/8AD79kX4I6uvwR0eSwsPDfxA+I95rHhPS7f4lfFPxE6XWv+Nrd/Dl/pmp6H4TnaxsNI8T2Vt4mjvp5ri9sLj+iT9nr/kgPwO/7I/8ADP8A9QvRK4744/ssfC747fs1eIP2UtZXXPBXwo17wr4c8Fw2/wAPbnStJ1jw94c8KX2jXmiaf4euNc0bxHpdrHaLoNhZKL3R9QX7EJI1VZmSeP23wb4X0/wP4Q8K+CtJmvLjSvCHhvQ/C+mXGoyQS6hPp/h/S7XSbOa+ltre0tpbyW2tI3upLe0toHnZ2it4Yysa+rWxEKmI4jnBTjRzPP8AC5rhIzSdSUPqOc0sZWxMk5WxNXEYzCNwc6kIwlOlhvY4TC0aL8yjQnToZFCbjKtl+UYzLsRKLahFSx2V18FRoJqKlRpUaGMXMqdOTmozrc9WunR6SiiiuM6z8WP+ChHh7Qfip/wUJ/4Jb/BH4naHpXi/4NeJdd/aN8X+IvA3ii303V/B3inxV4O+GcN14VXxB4b1S3ubHWhp1xNIltb6jDc2k8WqXtksDfa7hZNv/gj/AG6+GdP/AG8fhZ4eslsPhb8Kf2+/jr4V+F2n2swfR9B8PCbSbmbwvoNtGRbWGk6TM0V5DaWiRwJNrE7qgZ2J+3/2rv2PPhh+154f8G6d43174kfD/wAW/DbxRH4w+Gfxb+DPi9vAfxX+HeutGltqNx4T8U/2fq0FnFrWnoNP1W3u9LvopIlt7y1W01aw03UbLgPAv/BP74YfCz4TfDX4RfCz4pftDfDbTfAXxetPjb4l8X+Dfii2leP/AI5eNPNmn8QR/HXxGdDnTxz4e8ayyQnxdoNvYaHZX8dhp1tZDTbWzihBl/8As8MRTq+4qzzPDScPfjiYZxxJkGbwzKvGPLN1ckwOVYjB08O3OtiObD08FUpUJ14RMd+/lQnTXM6dLKqkVP3Xh6mTZZxThquFoSfNpnuIzrA+0rLkoYeNCrVxtOs6WHiv52Pi34J8HeMf2PP+CtH7U/i3QNHu/wBpn4df8FErvTfAPxSvU0u5+IvgfT/BHxM+EuieENE8K+Klt11fRNLtNJ1fU7GKw0m5tbO6t7KyV4ZP7HtjB90f8FA/g9+zVplz8QNS1n4a6z+09/wUL/4KDfDDwd8O/gz8EfEdr4J8VXfwcvtK8EzeHpPiB8P5n8M6ZqXwg8IeEH+1+IvEvjbXPEVzLqOq+HLmWLVtL0Sx8ZarpH3x8SP+CUH7MfxQ+OGt/GfXdc+NOm6P408Z+HPiP8TvgD4c+JEmk/s6/Fn4heFmkk0vxp8Q/h0NHuLnV9c8/wCyXN4bHxDpVheXNkJ5rBpNU8QHWMD4tf8ABJ34a/Fb9ovxx+1FbftS/tt/CT4q+PdMsfD+o33wQ+M3hX4cWml+FNOstIs7Twfok2n/AAxudftvCyHQ9OvpdIvNe1CC41SH+0bgy3W2ReajRj9QwOCr05KChl1DFxoVIwqYXD5ZwflXD2NhgK7i1Sq8UZhlyxeLxlGlHG4HA1MU1UlmuKdSp01KzWOxmMouMpe2zLFYX28JSpYmtmPEdLOsupY2lGSnUwnDdGFWNLC1asqGPxVWlQjCnlqxPN9ufswfDDxN8FP2c/gf8I/GfiU+MPFfw2+F3gvwZ4h8SeZPNFqeq+H9BstOvHtJroLdTafbywNaadNdJHdTWFvbSXMcczOi+7VwXwu8B/8ACr/h54P+Hv8Awmfj34if8Ihodnof/CcfFHxF/wAJb8Q/FH2NCn9r+MPEv2PT/wC29cus7rzUPsVt57gHyV6V3teljK0sTi8ViJTjUliMRVryqRpyoxnKtN1ZSjSnKc4LmnJKM5zn7vNOdSdSdSp52DorD4TDYdRlBUKFKioznCpJKlDkXNOnGFOTaipP2cIU1z8lOnTp0qdOmV/MT8dPhn8Ofjz+0T/wXQ8QfG/wn4d8Z698Cv2ZfhzYfBS+8W22kaze/Diyi+CfjLxpFqfgWe9tpZvC99N4r06w1F77SmtdQWfUr61nuXGrXST/ANO1fnP+03/wTE+AH7UvxNu/ir4n8X/HP4b674o8MaZ4I+Lek/Bf4lv4C8M/HnwVo17a3el+FPjFpP8AYurN4k0myht30yM6ZdaDqEmm3CxT38s+maDcaT5WJw8682ouEVWy3OctVeTfNga2aYfLaVDMqcYp1Jywv1GvRqRoOnivYY6q8NUU/aQqenh68KMbyjKTpZhkmYOlFK2Mo5TmcsdicunKTVOEMfSkqXNWU6ClG1eLp8tvK9M+JfxJj/4InQ/E9r/VrX4lQfsBy63Brv8AaTLrh1K2+EMiWXigapceZKNUubSODXxdljcG6mDxOs5Rx+cHwM+G/wANPgH8V/8AghF43+DnhLwx4O8R/Gj4CfFKH446z4bh0zQrzx7o938EfCXjDXNb+IGo6fHaz+IX8P65qusazFfa7PdSWB0q1tFmjh0u3jg/fOP9ljwRD44s/EMHi74oQ/Dmy+Bf/DPkX7NMfi9f+GapPBg3W66tcfDF9McTeMU0Vh4YXX31k58OqunNZsQZj87/ALN3/BLj9nb9mb4m2HxQ8OeKfjh8Rr/wloHiLwl8IPC3xm+JT+PvBHwF8JeK7u7n17wz8H9Cl0bTZdA0vULO7bR521m/8RahJpiOJL576/1e+1H1a1dVs6zHM4xUI43HxzGHtk5VPZ4Ohx7gllWLWHcZSw+dS4kyvNcZPCVI0aE55nh5wnisNl1deXToOnk+Cy2X7yWFweMwVRQajSnPM6HC7jjqLrRajVyKeT4zDYRVKaq13DAV8M8PQq4mnT/Lj41fAz9nX4B/tH/8E8P2iP2efDPwNl/Y61H9pnTfDUXxc+AnjW++IP7QnjP48/Eu88c2BXxx8WfEereMbP4gfA+y1vRraw1zRLXxjeeItKL+M9Jsre1L2Nqv9M9flx8P/wDgkR+yr8OfjFoPxT0fWPjXqXhfwV8QtQ+LPw2/Z1174lSX/wCzf8L/AImX89tdjxr4F+HEWjWl3p2s2N3bm50/+0PEeqWMDyrE9lLa2Ok2+nfqPWNJwhl2Gwy51Kni8diY0p8knhaGKoZLCnhJ1aKhh8RPD1cvxFKhVwuHwmHp5ZRyrCrDqvRxFWe9bmqZhXxPutVMNh6FSsuZfW62HxmcVY4tUqnPWoOrhcwpvFwr1sRVr5pVzDFRqQw8sPSCiiioKP47Pi34J8HeMf2PP+CtH7U/i3QNHu/2mfh1/wAFErvTfAPxSvU0u5+IvgfT/BHxM+EuieENE8K+Klt11fRNLtNJ1fU7GKw0m5tbO6t7KyV4ZP7HtjB+y/8AwWJ8ZeMtL/4JXfFzWbRrzQtc8UaB8JNE8Vx2d4trPaaX4w8beDNO8X6VLK4Mk1reWl9e6JqFvGyvdWV3cQyMYXmR/SfiR/wSg/Zj+KHxw1v4z67rnxp03R/GnjPw58R/id8AfDnxIk0n9nX4s/ELws0kml+NPiH8Oho9xc6vrnn/AGS5vDY+IdKsLy5shPNYNJqniA6x9CeLf2Pvh/8AEa7/AGibX4oeNfjB8Tvh/wDtJeHfDvhnxJ8GvGvj6fUPhN8P7Dw5py2MVz8HvDNnp+n3fw+1XU7qO217VtUstXu7ufxFZ2erWslnPbxgc8ISjk1DBTo06k6b4drzwU5f7HKXDOR8N5bicG5xSvDizE5Tjq2IrezccJDGOeYxr4ipVlLrjWhHO3mF5eyWJzqarKNsQ6Of5vVxtFKLu0uGsNNKjTnObxU5TpYBUaaftPyEfU/gd/wT2/4KP+Ite+HnhPQ/h78CNN/4Jcn4o/Ffw78PrDS9J0zVdT8D/EefT/DfiOTRtKSx07VvG3iAW+meHLLVb0fbdZ1PxK9zdXjy6jcXD/OH7BXxg0Pxd/wVi8M/Hr4n/Hv4V+IPH37Uv7KniHxJeeGtC+KPgzxD4e+GHivxR8TtO0n4bfs1aBqGn63dR3Hjfw98OPDnhq41HwmXTxJca7fazcNpO9pZ5v2r/Z6/4Jlfs5/AX/hPrjXNQ+JX7TWs/Efwjofw48Qa/wDtY+JdH+NN+nwv8NyWlzo3wx0+wvvDGkeHbfwLZahY2moxaLPod0RdWlkn2n7Hp2nWlptaB/wTT/Y88I/tKeGP2nvBvwe8E+C/Ffg7wOvg/wAP+BvCPw++F3hz4WafqsXiGTxFafE628M6V4DttStPivp8sg0qw8aWXiC1ubTRYobGK1DRic+hQqRpZjgMRWq1MTSw+Gzqh7Zx5a+HpZziuMsbXoxpSbo1KjWdZLgaeIpKEaEMLjKMIwyyaU/JdGbyzE4SEYU61ShkkJqUr08biskwfCGBo42pUp2qUnVqZRnGYVKVX2kqtSvhquIqVsfGl7L70ooornOs+UP27fE3iPwZ+xb+1V4q8IXl3p3ibQfgD8VdS0TUbC6SyvtOv7fwbq7Q6jZXbq32e6sObu3lQCVJYUMLJNsdfwq+Afwx+HnwM+L/APwQb8XfBHwX4d8MeLfjh8C/ibZfGjUPCtpp2k6n8RdP1D4KeEfFmrap46utMhguvE9xoniDVtW1a2udakvJrSTTLSxjkSLTLeKH+m7X9B0bxToWteGPEem2ms+H/EWk6joWu6RfxLPY6ro+rWk1hqenXsDfLNa3tlcTW1xE3EkUrqeDX54/s5/8Et/2e/2aPiTafE7wt4y+PPjrVPCnh3xJ4Q+Deg/Fn4oS+NvCn7PXhbxZc3k2t6F8FNKfRdOn8M2tza3n9mfaNXvvEWoixiLNfPf32rX2ozhHLDY+pinDmiquXYyEoSjGrWjlmV8ZYOpk0uZfu8PmuI4hwFaddyeGpPD4meJpTqUsHNPFWr4GGGi/e9nm+GlCSfsoyzb/AFaWHzNtX5quU/2NiqlOlCMcROVTDxw1Wk54mS+fP+ChHh7Qfip/wUJ/4Jb/AAR+J2h6V4v+DXiXXf2jfF/iLwN4ot9N1fwd4p8VeDvhnDdeFV8QeG9Ut7mx1oadcTSJbW+ow3NpPFql7ZLA32u4WT8vLvwl468Ufsjftmfsa/BSX4ZaH4X8Qf8ABXPWfgt8LND+JPxM8D/D3wPB4Ng8TaV4xufA/h6HxXr+hz65p+n+INB8OXH/AAgvw1tdd8capDrl+3h3w1qUouEX93fHH/BN74YfEn4LfDb4TeN/jb+1P4i8W/B/xpqnjz4Z/tMah8ZGl/ag8Ha7rWoz3eorpXxS/wCEcEB06bT5x4ejsbvw7cxWui2mm/ZTDq2labqtpFP/AMEvv2Xbn9lb/hkya28fyeF/+EyPxSPxQfxeX+OD/GZp3uZPjO/jx9Ma2f4iyvLLG9+2gnRTZSNpo0Iabi0E0acaFOtCXNVhHE1KkoUXGjLMo4rjDg/ieNecq9OrTo4nKcNkFfLaEMZCvSxMqVCnTdLL8biIUtK1R1atKcLQksPh6VOpUUpxy+pl+ScdZPzU40p0686eb1eI8txlf6rVoVsLTpVXVdbG4PC83g//AATc8aX/AIS+Of7T/wCyf8Sf2Wf2UfgH8cvhNpvw38V+JPGX7G/gdPBvwo+J3gvxXp1xe+FI722vtMtfFX9s+Gn1O8+zP4kvZHvRq2rfYNH0ddPubnWv2Kr49/ZR/Ym+FP7Ix+IOseE/EvxU+KHxI+LGqaZqfxK+M3x18cSfEX4r+NF0G2msvDmna14lOnaPavpvh+zuJ7bTorXSbW4kikT+0rnUHtbNrf7Crqqz54YRSnGpXp4LD0sVVhTqUaVXEweI5pUaNSrVlSpwo1MJQaUoQq18PisVTo4eGMjRjyUock8U4wdOjPF1amGpznCrVp4d08LCMataFOmqkpVaWJqw5vaTo4athMJOtWlhHUZRRRWJsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/Z
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAjmmht4Zbi4ljgggjeaeeZ1ihhhiUvJLLI5VI440Vnd3YKigsxABNfEHh7/gp3/wTX8XeJNE8G+FP+Chf7Dnifxf4l1rTvDXhzwr4e/ay+AmteJPEHiPV76HTNJ0DRND03x/c6pqutapqVxBp+naVYWs99e308NpbQSzypG33HX5p+Bb2fTf+Cn/7cuo2tlNqV1p/7C/7Cl7badblRPfz2vxQ/b4nhsoC5VBNdSRrBGWYKHkXcQMms5VqVCVetinJYLCZVnOa4l0YOeJ9lkmAhmeJjSi+anKVbDOpCkuSUo1qcW1UjVjTjsqMquGrSo2+sxr5bQoxqShGhKeZ5phMope0k5U5QVLEYylXqTdWFN0YTg5UXfEU/wBLK5zxR4x8I+B9OtdX8a+KvDng/Sb/AF7w34WsdU8Ua5pnh/TrzxP4y17T/CvhDw5a3urXVpbXGveKvE+r6T4c8N6RDK+oa5r2p6fo+mW91qF7bW8v86Xgj9tL9rXQvgn8OvjFqP7Usnxh1v8Aa2/4JT/tbftxL4Oufhz8EtM0D9lr4q/CDwl8IfFXg+H4KL4Q+HHhrxJqXwm0TWPjFqXw68QaH+0Xrnxy8Zalr/hLwbP/AMJRbunj221dNb/a5/bB+DPiL4EeG0/bI/4aVsv2iPAf/BO/44eIvFE3wq/Z/wBGj+Eo+PP7dnwJ+CfjXwp4AT4c+CtL06P4E/H/AOGnxN8d6T8KofiFL8VPi34bk+FXifWNM+Oeu6jHJqdj208LVlmNPLJ8tPEyxlHL6kXNTpwx8sdmmDxODjXpKdKr7B5Hms1mND6xlVeFGhUwuIxNPF4dyxrNUadWrd1IU6ONxCcY1ITeEwuCq4mGMlRr06VelCrWVHD/AFKvRw2Y05SlLEUMJR/f0/6UaK/Ir9kz4rfGX4veLNI/aC+Jf7a1v4G0bxp+1V+1R+z1Y/sQeKPBf7Pdn4FEHwX8a/F/4e+E/h78PfEttoOgftFN+0XYaT8KrH4weOdR1v4ufErwxquin4i2ekfBXw14eufDeu+A/wBaNSu0sNO1C+kns7WOysru7e51G6Wy0+3S2gkmae+vXSRLSzhVDJdXTRyLbwK8rIwQqeKpUVLAU8fNPkngVj5UouEqlOlLLsFmtOm6ntIYSdapgMywNXlp4v2dGdf2OJrUJU51pWoSliqmFgnOcMRPDRko1IqrVp43GZbVUKU6ccSowx+AxdCMpYdquqcK2G9tTrU4Lw/4eftW/sufFz4keMvg58KP2k/gF8Tvi78OTqy/EL4V/Dz4xfDvxp8SPAjaBrEXh3XV8ZeB/DfiLUvE/hc6L4gng0LVhrel2J07WJotMvPJvZEgPrWh+MfCPifUfFekeGvFXhzxDq3gTXovC3jjS9D1zTNW1Hwb4nn0HRfFUHhzxXZWF1cXPh7XpvDHiTw74ji0jV4rPUJNB1/RdYS3On6rY3E/4E/BX9ob9pj9g74DfCD4b+J7n4RfttWvxJ/ZI+Kn7Q3wp1n9h/4LfHj4mTJ8QbD4hfBWPU/EuveI/DHxB+N3i39p34cfGPx7+1HN8R7n4n/DP4PfCPVNB8IeEfE+taZ8PvGZ123tfDPoP/BFzxV4GPjP/gpD4D8LzfHzW9Yi/bA8PfEXxT41+OH7Ov7SPwP1jxp4n8afsl/sv/8ACc+J9Xt/jx8OvBb+HvFXib4i2Pi3xL/wqcz2+ueDfB+r+Fb/AErwtpXwy1rwDfal2UsPKc69GbiquDymeJxXJz2ea4XMMDl+ZYOlSrUcPWp4bA1ZZoqlWsqlVvC4GKl7XGYnDYCcQvYUpV1KE6VXNcNhcHKM4zp1csxdXOKeGxzrU3ONSrill2EqUKKpYSUaeLrTrUI06FCriv3YooornEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXOWvg7wjY+K9a8d2PhXw5Z+OPEmiaB4a8ReMrXQ9Mt/Fev8Ahzwpd69qHhbw/rXiKG1TV9U0Tw1f+KvFF7oGlX15PYaNd+JNeudOgtptY1B7jo6+c/7c1r/oMap/4MLv/wCPULR3WjtKN1o+WaUZxurPlnGMYzjflnGMYzjNRikdHH7MuXmj0lyTVSHMtnyTjGcLp8k4qceWaU1xHjX9h39ni9+G37VfhP4QfCL4L/ALx3+138PPiJ4L+K/xa+G3wa8D6D4t8W614+0HxTpZ8Z/EO68MWfhTWPiVqmlap4u1jxCU8SeIvtd/f32pN/atncandXh3Pg5+xZ+y98E/h/B4C8Hfs+fATRrfUNZ8BeOPHl34Z+Cvw88KQ/Eb4t/Dy60rWvD3xg8XadpeilNZ+I2meLdHs/GGi+LdZudW8TaH4igttWsdbGp2sV9XNfEL9oHwV8JdPsI/iH461LQLrxFes+hE2ninVnu7fRoJF1gLLomn6kLVIJNW0ffHdPbm5MsbQLP9mmMPkv8Aw3D8C/8Aoruqf+CD4jf/ADO19LlXBXF+YYaOZZLwrxHjsFi6GDwtHHZbk2ZYnC1MLk9bFxwmGwuIw1B0oYbA4mvieXD4WdLD08RTpydCFfCYaeG+azTjbg/LsXPL854s4cwGPwtavia+CzLO8uw2Mp4jM8LhoV8RiaGJxMazr4vBU6EPb4iM688JUqU1WlhsViKWI+udL/Zo/Zx0T4z63+0fov7P/wAEtI/aH8TaYdF8R/HnS/hT4EsPjP4g0c2WmaYdJ1v4o2mgxeONV0w6douj6ebC/wBduLU2Wk6ZaeV5Fhaxxe21+bP/AA3D8C/+iu6p/wCCD4jf/M7R/wANw/Av/oruqf8Agg+I3/zO12rw68QIwp048D8XRp0lKNKnHhzNo06UZTlUlGlTWEVOnGVSc6ko04U4yqTnUlGVScpy4X4j+H0pzqS464QlUqOLqVJcSZRKpUcKcaUHUm8W51HClCFKDnObhShCnBxpwhTh9c/Cj9mj9nD4Da3488TfA39n/wCCXwY8SfFTUoNa+J/iD4UfCnwJ8Otb+I+sW13q+oW2rePNV8IaDo9/4v1K3v8AX9dvYL/xDcajdRXet6vcxyrNqV483pWh+DvCPhjUfFer+GvCvhzw9q3jvXovFPjjVND0PTNJ1Hxl4ng0HRfCsHiPxXe2Frb3PiHXofDHhvw74ci1fV5bzUI9B0DRdHS4Gn6VY28HwTp37cnwDj1Cwku/i5qRtY721e5Enh34jSobdZ0aYPEPDbmRDGG3RhGLjKhWzg0v+G4fgX/0V3VP/BB8Rv8A5naa8O/EFRhFcD8XqNOhTwtOK4dzdRp4akqcaWGpxWFUaeGpRo0Y0sNTjDD040qUadCnGlSjTH4j+HzdST464QcqtX29WT4kyhurXblJ16reLbq13Kc5OvUdSs5Tm3WbnNy/SaivzZ/4bh+Bf/RXdU/8EHxG/wDmdo/4bh+Bf/RXdU/8EHxG/wDmdpf8Q68QP+iH4u/8RzN//mQP+IjeH3/Rc8If+JHlH/zWfpNRX5s/8Nw/Av8A6K7qn/gg+I3/AMztXb/9uT4ByTo1t8XNSEYstORtnh34jRj7RHp9rHdkqfDa5c3SzGSTBErlpQzhw7H/ABDrxA/6Ifi7/wARzN//AJkD/iI3h9/0XPCH/iR5R/8ANZ+jNFfmz/w3D8C/+iu6p/4IPiN/8ztH/DcPwL/6K7qn/gg+I3/zO0f8Q68QP+iH4u/8RzN//mQP+IjeH3/Rc8If+JHlH/zWfpNRX5s/8Nw/Av8A6K7qn/gg+I3/AMztXZP25PgGdPtY1+Lmpfalvb95iPDvxGDm3kg05bYNL/wjYDoJI7vZGHYxkyMVXzQXP+IdeIH/AEQ/F3/iOZv/APMgf8RG8Pv+i54Q/wDEjyj/AOaz9GaK/Nn/AIbh+Bf/AEV3VP8AwQfEb/5naP8AhuH4F/8ARXdU/wDBB8Rv/mdo/wCIdeIH/RD8Xf8AiOZv/wDMgf8AERvD7/oueEP/ABI8o/8Ams/SaivzZ/4bh+Bf/RXdU/8ABB8Rv/mdqv4d/bv+Ct3purya38R9S0e+NxrNjp9o2l+P9TMtrp/is2mkatHdW3hkR2z694ds4tbNo+2fTE1J9IupJLqCXzMZ8Bcc08RQws+DOK44jE08TVw9F8PZsp1aeDjh5YqcI/VLuNCOLwzqP7KrU7/EjrpcccE1sFjcypcZcJzwOX1svw+NxC4jyf2eHrZrPHU8vpzvjL82KnlmOjTsmr4apzNe7f8AS6ivzZ/4bh+Bf/RXdU/8EHxG/wDmdo/4bh+Bf/RXdU/8EHxG/wDmdrb/AIh14gf9EPxd/wCI5m//AMyHJ/xEbw+/6LnhD/xI8o/+az9JqK/Nn/huH4F/9Fd1T/wQfEb/AOZ2j/huH4F/9Fd1T/wQfEb/AOZ2j/iHXiB/0Q/F3/iOZv8A/Mgf8RG8Pv8AoueEP/Ejyj/5rP0mor85tR/bk+AcmoX8lp8XNSFrJe3T2wj8O/EaJBbtPI0ISI+G0MaCMrtjKKUGFKrjApf8Nw/Av/oruqf+CD4jf/M7R/xDrxA/6Ifi7/xHM3/+ZA/4iN4ff9Fzwh/4keUf/NZ+k1Ffmz/w3D8C/wDoruqf+CD4jf8AzO0f8Nw/Av8A6K7qn/gg+I3/AMztH/EOvED/AKIfi7/xHM3/APmQP+IjeH3/AEXPCH/iR5R/81n6TUV+c11+3J8A2g05Yfi5qQkjspEu9vh34jITcHUL+RTIx8Nr5r/ZZLYCQFwECRbgYyi0v+G4fgX/ANFd1T/wQfEb/wCZ2j/iHXiB/wBEPxd/4jmb/wDzIH/ERvD7/oueEP8AxI8o/wDms/SaivzZ/wCG4fgX/wBFd1T/AMEHxG/+Z2j/AIbh+Bf/AEV3VP8AwQfEb/5naP8AiHXiB/0Q/F3/AIjmb/8AzIH/ABEbw+/6LnhD/wASPKP/AJrP0mor5L+HXxi0D4qeD9X8S+BPF+pa9plh4lsdDmvzH4g0x4L+PS7y/urNYtZtdPuyht7zT5nkiha2kLRqJGlgdY+60fWNXl1fSopdV1KSOTUrGOSOS+unSRHuYldHRpSrIykqysCGBIIINfLY3BYzLsXiMBmGExOBxuFqOjisHjKFTDYrD1VGEnSr0K0YVaVRRqU5OE4xklODtaSv9Tgsbg8ywmHx+X4vDY7A4umq2FxmDr08ThcTScpxVWhXoynSq03KnUipwlKLcJq94u3vVFFFcx1BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUV+c/7b/wC1j8ZvhB8Qv2cP2bf2YvB3w08VftFftP634zh8I6l8ZdU1+x+Fngrwz8NdJsvEfi/XvFln4SmtvFerG50me5t9JtdEu4JoZ7a5uzFqk0FromqeLfFL9uD9sj9nX9nDQ2+Of7Ovwxh/bA+JP7ROn/sy/A/RfBvjyC4+BXxP1/xhJct4L+K8bXXiO88ceFfAaRwzW+oeEvFeoaP4yv7yztHu7jwfaa/NN4ZmnL2sOenCcubGRwGGgo2qY7GPHYXLZ0MBGUoxxM6OOxlHD1v3lBU5RxNROpQwWNr4apx9lNQqShG2EePrycrwweCWFzHGrE41xUpYejPCZVjq8JezrXhSpRkqdTF4Kni/2Bor8QdW/wCCg37XfwA1f9oX4IftZ+Af2dYvj/4Q/ZS+IP7VHwJ8Y/BCf4kah8FPG2k+CNP1KG88GeKdD8b6np3jmLXtO1bSL3Ub2ex1fSbfUNEjuLaBNNmgsdU1rxLwX/wUm/4KW6zr37JWjar8Df2OJ5f28fhf4i1X9n+3tvGHxb0N/BHirw34f0PV7vxr8Yb0jxVFdeC7mzub3xNZfDrwXaT+J30bUtO0O6+INp4g0i9Oq1T/AH0oRofv/aewhSlS96FbEYh51Cng6c5ezX1xVeHc5o1KFRUvY1MFJ1a0aVXD18RM/wB1Gcq37n2arTqRqaShh6FHKcTUxcox9pfCLC53l2JjWg5udGrPlo+0o1aMf6K6K/nZuf8AgrV+1bD+zV4O8XWvwi+B+qftE2X/AAUIvP2HfiF4Ygl8Y2Xwx8T3tpaXl/HqHgHULzxb/bnhO5vZLjR9Cj1nxReeKNPtZ7fUNem0KS2vbfR9Oo+Kf+CkH/BTnwnF+2R4Bv8A4RfsSXPxO/Yf0zRPiZ8WvG9jr3xrk+HOufDLxF4Ph8QaX4X+H/ge5ubPxXq/jsj7Zqs/ijxB408LeH47Gyn0P/hFRqDWeq3089PlnU9pD2EIe2WIvL2FTDRy7h7N6uLpT5Lzw2HyvinJMdXn7KE4UcXyRoVsTTlhXapzc40nCUazrPDyoyVqtLEf2nm2TQo1oJy5KlXM8kx+DpLnnGdSFKTnTpVVVh/RpRX5UfCf9v3x58W/2vf2Y/g5pvhDwjonwp/aA/YN8P8A7Wl2b631m++IWgeKfEWp3UUHhu21+31+18Nz+H7KxSCKUS+EW1G6ulluk1C2hlSzh+PvFv8AwVj/AGntH+Bvjz4jeGvhp8FPEnjXw5/wVB1T9iPw14WuLDxlouk+IPh7a6TdXmmXN3qc/j24bS/iDqmoQ29jJ4pdpPClhHO11J4KlWIodnSqRrQw7hL208RVwsaatKTr0eLocDzp+62m/wDWGpChBxk1PCtYyL9k1TeMakJ0I4hNKlKnhqvNJqHLDFcN5lxXT5+ZpQccoyjHyrc0rUcXR+qSlKUlXX9DFFfz9/EL9sz9qa3n/bw/ZD/bS+E37NOva/4W/YV+If7RHhGb4Lar8XV+HfiTwYlrd+HdR8FeObjWvE3hzx7dy6nNqcdncap4Vvfh/qFkNJ1U6fIy6ppeq2G34A/bE/aU1bw9+xL+yH+w18LP2cdG+Jes/sL/AAp/aM8Z3/xt1v4qy/B74d/DibQNK8MaR4G8L6foXiLXPihqGpjWJdNisNV8QeJvFF3DpT2cerPq1xdal4g0nKD56aqQUqqqLBzw8aCdaU6dbC8S4rGTqpcjpf2auFszjiuX2yi6TUZVpVcFHGaVEqTam1T9lPFxxEq16UYKjT4eqYSVNuMpVVmC4ky54VShRnNVV+7pyp4uGF/emvl+l+G/xT/aFP7N2hfET4yfszeJbX4/2llBa+L/AIBfCfxr8INd1PU9Xj8QxaFcar4J8T+Nvip4Q+G0OiX2mP8A8J0mmeJ/ibZapo+hi60D7Z4g8T2dpbazp/2faf8AQc0v/vzrX/ynrWrTdKpOm5U5uErc9KaqUpq0WpU5xSUoyjKMk+WMldxnCnUhUp04hLnipcs4NuScKkeScZQnOnKMo80ldSpyScZzhOPLUp1KlKpSqVPy3/4KL/8ANHf+6hf+6PX5l1+n3/BSC3ig/wCFNeVfWt7v/wCFibvsyXqeXt/4QbG/7ZZ2md+Tt8vzMbG37Mru/MGv9KPo/wD/ACaThT/ut/8ArQZof5n/AEgv+TucWf8AdE/9Z7Kwooor9kPxkKKKKACiiigAooooAKKKKACiiigAooooAKQHIz7kfkSP6UtIDkZ9yPyJH9K8zEV+TNsqw/172P1jC53U/s/6t7T6/wDVaWTy+sfWrP6t/Zf1n2nsrr65/aPLaX1TT3cHhPa8O8QY3+yfrP1PMOFqP9s/XfZf2P8AX8RxLD6n/Z/Mvr/9vfUfY+35Zf2Z/YntLx/tG8looor0zwgooooAKKKKACiiigAooooAKKKKAP2V/wCCfH/JAPGv/ZYW/wDUK0evufQ/+Q1o/wD2FNP/APSuGviL/gnhbxTfADxr5l9a2mfjDL/x8JetjZ4K0Lbn7LZ3P+t8x/LxnHkS+b5eYPO+79HsbVNX0p11jTZWXUrFliji1cPIVuYiI0MulRxh3I2qZJI0BI3uq5Yf5deMn/J1OPP+yhr/APqHlB/qX4M/8mq4C/7J7D/+pmcHvVFFFfmh+mhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8N/tkfsZ3/7TWqfBz4k/Dj40eIf2dv2g/wBn3xBrmt/CT4vaH4W0Xx7Z6Rb+L7Ox0jxponiPwD4gutO0rxXpOu6LZLZpbXWp2cdpOzPcpqWm3Go6RqHh3iP/AIJm678Sv2edV+HHxq/a++OXxR+PkvxesPj/AODv2kr6UaMfhV8WvDS3cXgu7+Fnwis9auPCfgfwHosF3OdS8B6HqlrHqt3f6lfadrnh6eHwv/wiv6q0VMIKnCcKblBSxCxcZRnNVMPiVicJjXXwdTmc8FVqYzA4PFVp4R0XWr0I1Kl+evDFVOTqSpynyzdOg8M1KMXCthnRx+GWHxULKOLoRw+a5jQhSxPtIQo42vTUWnTeH/IzSf8AgmB4x8TxftBeNv2kv2sde/aI/aI+M/7P3iv9mjwt8Xb/AOEHhP4deGvhN8MfFFlcm4ttA+E3g3X4tH1LWH1y9utU1PVf+Eg0iXUbSQ6ZDHpst1q2p6p6V4O/4J4/8In4r/4J2+J/+Fv/AG//AIYH+HPjnwB9h/4QD7L/AMLX/wCEz+HVl4A/tb7T/wAJtc/8IL/Zv2P+1vsH2fxj9s8z7B9ttdn21v0porWnN0ZU5UlGm6U8NUpxpwhCnCeFpZ7SpTjTjFQ5muJs8nWk05YmvmFTEYiVStSw8qGc4qpGpCo5VFVp4ulUc5ylOVLHUsrw+Ip87bkqfsMlyyhRhFxjhqWFVPDxpRq13W/GaL/gkZ5Xh5NB/wCGgt2z/go1N/wUA+1/8Koxnzo4E/4VL5H/AAso42+Tn/hPPOOd2P8AhDBtyfbPGH/BO7/hK/EH/BRfXf8AhcH2D/hv34f+BfAv2X/hX/2r/hU3/CFeAdZ8D/2p5/8Awm1t/wAJ3/af9r/2p9h8nwb9j+z/AGL7Zd+b9ri/S2isPZU3hnhOX/Z3hamCdO7/AN2q5bw5lFSlzX5/ey/hLh/D8/Nzr6h7VSVbE4upX29rUdeeK5v388THFynZa4iGbZnnkanLblVs0zjMcTyqKg/rHsXF0KVGnT/H/wAYf8EvPiHb3v7Jnjv4Aftf6v8AAP42/sxfs56N+zRefEmD4JeE/iPpPxE8DaNpVvZRyz+AfFnimPTNCuZ759W1Ewahqni+3tWvbE2Qt9R0mPVrriPD/wDwRym0L4L2vwiuP2ntZ8SXFt+3vpH7cE/jnxH8MIL3xDrM2l6RFpUvgPXo7b4hWVtf6zqzxNqOqfEO3NjBNfTzvF4FgjdUT9t6K6VWqLETxSl+/nj/AO0nUajLlxbz/D8UOVKMk40aMs/wtLNJYWkoYaWIdXmpOnXq03zulB0YYdx/c08P9WUE3HmorKc0yOKqNNSq1IZRnOY4CnWqOVWnQrxUJqVGhOH5pfHf/gnd/wALs/aA+O3x0/4XB/wjP/C6/wBifxT+x5/wi3/Cv/7Z/wCEZ/4SXWjq/wDwsX+2/wDhNtK/tn7Fn7P/AMIj/ZGlfaf9b/wk8H+qrz3xH/wTG8caRD+zT4z/AGdv2tvEX7Pn7Qf7P/7O3hX9l/WPizZfCLwp8RfDXxP+FvhrTYl+yax8KfF/iA6VpepTeIoI9dsL2TxDri6ZGFs3g1C9s9J1nTP1vorCEFTp06VNyhClKEqfJOcJx5P7dXL7SMlN06kOJs7pV6UpSp4ijjpUa0Z06GF+r7VJurOpUqctSVWMo1FOMZQmpYfJ8NrBrk5oUsgyh0pJKVKrgoV6co1p1pVfC/2cPg1q/wABvhJ4c+HPiP4u/E346+J9Pa91HxP8Uviz4j1HxD4q8UeINXuXvdTnt01C9v08OeGrWeQ2Xhfwlp9zNZ+HtEt7Oye81TUBf6xqPJ19QV8v1rUqSqzlOXKnK2kIQpwioxhCEIU6cYwhCEKdOEIRjaMIRV5NOc84QUI8qcnrOTc5yqTlKpOpVnOc5uUpSnUq1JybavKbtGEVGnT/ADL/AOCi/wDzR3/uoX/uj1+Zdfux+0T+zV/w0DZeFrz/AITT/hEv+ELutVtvL/4Rz+3v7S/4SiKxl37/AO3tF+x/Yf8AhGdu3bdfavtud1v9mxcfLf8Aw7o/6rF/5j3/APDiv7e8H/GDw74W8O+H8iz3iD6jmuB/tT61hf7LzjE+y+s5xj8VR/fYXAVqE+ehWpT9yrLl5uWVpqUV/DfjF4O+IvFXiLxDn2Q8PfXsqx39l/VcV/amT4b2v1bJ8Bha37nFY+jXhyV6NWn+8pR5uXmjeDjJ/mXRX6af8O6P+qxf+Y9//Dij/h3R/wBVi/8AMe//AIcV+l/8TAeEn/RV/wDmE4g/+dZ+Z/8AEvvi5/0Sf/mb4e/+eh+ZdFfp9Y/8E3/tt7Z2f/C5fL+13VvbeZ/wrvf5fnypFv2f8Jym/Zv3bdy7sY3DORV/4d0f9Vi/8x7/APhxR/xMB4Sf9FX/AOYTiD/51h/xL74uf9En/wCZvh7/AOeh+ZdFfpp/w7o/6rF/5j3/APDij/h3R/1WL/zHv/4cUf8AEwHhJ/0Vf/mE4g/+dYf8S++Ln/RJ/wDmb4e/+eh+ZdFfpp/w7o/6rF/5j3/8OKtXn/BN/wCySpF/wuXzN9rY3O7/AIV3sx9tsre82Y/4Tls+X5/l7sjfs37U3bQf8TAeEn/RV/8AmE4g/wDnWH/Evvi5/wBEn/5m+Hv/AJ6H5g0V+mn/AA7o/wCqxf8AmPf/AMOKP+HdH/VYv/Me/wD4cUf8TAeEn/RV/wDmE4g/+dYf8S++Ln/RJ/8Amb4e/wDnofmXRX6af8O6P+qxf+Y9/wDw4q0//BN/ZZW95/wuXPn3V5beX/wrvGz7JFYy79//AAnJ3eZ9t27do2eXnc2/CH/EwHhJ/wBFX/5hOIP/AJ1h/wAS++Ln/RJ/+Zvh7/56H5g0V+mn/Duj/qsX/mPf/wAOKP8Ah3R/1WL/AMx7/wDhxR/xMB4Sf9FX/wCYTiD/AOdYf8S++Ln/AESf/mb4e/8AnofmXSA5Gfcj8iR/Sv01/wCHdH/VYv8AzHv/AOHFYXgn9gP/AITHRNZ1j/hbP9nf2Tr3jTRPs3/CCfbPtH/CIfEHU/An2nzv+EytfK/tH+zf7V8nypfsnnfYfNufL+2ScVXx/wDCr6/gXHjb2VBUMyVbBf6u59P65N08v+r1vrDyvmw/9nyVefs46Yr69yz0w0D18N9HrxXeSZzOXAH1ivDGcPxo5t/rPkNL+yoVK2erEYX6is15cb/bUadCl7aSby/+yOeFnjp3/Oiiv00/4d0f9Vi/8x7/APhxR/w7o/6rF/5j3/8ADiu3/iYDwk/6Kv8A8wnEH/zrPI/4l98XP+iT/wDM3w9/89D8y6K/TT/h3R/1WL/zHv8A+HFH/Duj/qsX/mPf/wAOKP8AiYDwk/6Kv/zCcQf/ADrD/iX3xc/6JP8A8zfD3/z0PzLor9Pr7/gm/wDYr28s/wDhcvmfZLq4tvM/4V3s8zyJXi37P+E5fZv2btu5tucbjjJq/wDDuj/qsX/mPf8A8OKP+JgPCT/oq/8AzCcQf/OsP+JffFz/AKJP/wAzfD3/AM9D8y6K/TT/AId0f9Vi/wDMe/8A4cUf8O6P+qxf+Y9//Dij/iYDwk/6Kv8A8wnEH/zrD/iX3xc/6JP/AMzfD3/z0PzLor9Prj/gm/5EVjL/AMLl3/bbV7nb/wAK72+Xsvbyz2Z/4Tk78/ZPM3YTHmbNp2bmq/8ADuj/AKrF/wCY9/8Aw4o/4mA8JP8Aoq//ADCcQf8AzrD/AIl98XP+iT/8zfD3/wA9D8y6K/TT/h3R/wBVi/8AMe//AIcUf8O6P+qxf+Y9/wDw4o/4mA8JP+ir/wDMJxB/86w/4l98XP8Aok//ADN8Pf8Az0PYf+CfH/JAPGv/AGWFv/UK0evufQ/+Q1o//YU0/wD9K4a8M/Z5+C3/AAor4ZeI/CP/AAkv/CU/2j47tPEf9of2N/Ynk/a/D7aZ9j+yf2rq/meX/ZHn/aPtKb/tHleQvk+ZL7nof/Ia0f8A7Cmn/wDpXDX8F+JecZdxBx/xbneUYj63lmZ5zWxWBxPsq1D21CWGy6nGp7HEU6VenedCquWrThNcl3G0ot/3z4ZZPmPD3h/wjkmb4f6pmeWZNRwmOw3taNf2GIjicyqSp+2w9SrQqWhiKT5qVScHz2Urxkl9GUUUV8OfchRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFfJX7VX7ZHw5/ZMtvh/aeJvBvxd+K3j34razrGjfDf4QfAbwHL8R/ip4ybw1pi6z4r1HRfDQ1HR7ebS/CulS2+oa5PNqkE0FtcRyW1tdhJ/Jic4Q5eZ2c6kKUElKUp1KjahCEIQqTnKXLN2jCXLCnVqTcKVGtVpVGEp83Kr8lOpVm7xjGFKlDnq1JylKEYwhCzlKUopXitZThGf1rRX5nR/wDBVr9mqf8AZth/aOt/DnxruWuPjKv7O8PwGt/h3FL+0VL8czqEdqfhWnw+XXzpbeLl06RdfNmPFX2dtPI02O6fxS6eHW+ef2gf+CuViv7Ff7Rnxp+Anwn+N3hD40/BvxZ4f+F/iL4efGz4Pvpfin4PeIPGMKXmkeOfid4VtPFVzZ6P4RfS47+PSNQudXvmi8VtoVjr3hyTT9QWC8nEVVhqWLqyhOp9Tp0qlWFLknJxrxyyVB05+0VGpCpHOsnqSrUq9ahQo5ngsRiquHoV6VSrVCn7erhaSlGm8ZXrYejKrzwXtMPPHQxEZw5PbU5Up5ZmVP2dSjSq1a2BxOHw9PEYilOlD9t6K/nnP/BVL4paL+1b+zrbeIfAX7To+FnxJ/Yq1Lx/dfsxWf7Oelap+0J44+NGk/ELxr4a/t/SPCmh6deeJdPs9b0DwhfeLNGEnjPQfA8vgxLTXryGwmvUgf7Cv/8AgsL+yppn7Png39o6+0D42W/hXxP8d5f2cte8Hv4D0sfE34ZfE21tL/Ur7TfiD4Q/4SzdDFYaTZw6lPD4S1DxdrEkWp2FlaaRdauL7TbHqq0nSc05RnKGMxOClGCnKftqGfYvhyi1BQ55xxuY4RQwvs4VZJYvBUcXHBY3ERwRzwqKcaUuWUI1cHh8bBz5VH2VfJ3nlSMp87hGphMDDEPEc1SNOcsHi6mDqY/DUXin+q1FfjTf/wDBb39m3StB+IF5qfwC/bb07xr8JtUjj+Knwjvv2d5rP4jfDTwhPpVpqVv8TfiAtz4si8EeDfAlzLfWulwSeI/Gum+KZL64gnHhb+x54NVl+hvjZ/wUw+Bnwi/4Vda+FvAfx+/aT1/4t/Cq1+Onhzwn+zN8LLj4leJtN+DGoC1TTfib4n0++1jwxHofhW/u7uPToria5kvbe/V4dQsbNdkj4zlGFJV5SSoupTpqqmpQcquFr46DUoOa9k8JhMXiHiNMLClgsdKri6X1HGxwmyjKVV0Um6sY15yp2tJRw2IwuFrJp8vvwxOOwNH2V3WnPHYL2VCrHGYWeJ/RCvl+pvh3+2F+zv8AET9mrwz+1wvxM8MeA/gP4j0iy1Sfxz8VNd0P4eaP4VnuvEKeDpdE8Y6v4i1S20HQtZsvGj/8IfLE+sT2N74hMFno1/qkV9p9xd3v7D1r/oD6p/4L7v8A+M1rVpVKFWpRrQlTq0puFSnK3NCcbXTs5J7xacZSjKMoyjKUJwlLKnUp1qcKtKanTmuaE43tJXkuqi01KMoyjKMZRlGUZRjKMox/j/8A+Dqb/mxH/u5//wB94r+ROv69v+Dq+xvbL/hg77ZZ3Vp5n/DUPl/abeWDzNn/AAztv2eaib9m9d23O3cucZGf5Ca/buDv+Sdy/wD7mv8A1MxB+OcV/wDI/wAf/wBy3/qJQCvrv/gn3/yfp+xH/wBnd/s2f+rl8F18iV9e/wDBPiN5f2+P2IIokeSST9r79mqOOONS7yO/xn8FqiIigszsxCqqgliQACTXu43/AHLG/wDYHjP/AFExR4uD/wB8wf8A2F4T/wBSsMf6l+h/8hrR/wDsKaf/AOlcNZddNo+j6vFq+lSy6VqUccepWMkkkljdIkaJcxM7u7RBVRVBZmYgKASSAKzf7D1r/oD6p/4L7v8A+M1/OB/QBl0Vqf2HrX/QH1T/AMF93/8AGaP7D1r/AKA+qf8Agvu//jNAGXWprH/H3D/2C9D/APTLp9H9h61/0B9U/wDBfd//ABmtLVdH1eS5iaPStSkUabo8ZZLG6YB4tIsYpUJWIgPHIjxyL1R1ZGAZSAAczRWp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M0AZdak3/IF0/wD7Cmsf+kmh0f2HrX/QH1T/AMF93/8AGa0pdH1c6RYxDStSMialqsjxixui6pJbaOsbsnlblSRopVRiAGMcgUko2ADmaK1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZoAy6zPAPiT/hKvD/ifU/sX2D7LqnjHw35H2j7V5n/CG/E648IfbfN8i32/2j/Yf9ofZ/Lb7H9q+yefdeR9pm6f+w9a/wCgPqn/AIL7v/4zWP4Av9U8V+H/ABJqY0G/sfJ1nxr4UjgCXF358/gj4nXnhCWdJRaW/wC9vf8AhHJtQks1jd7DzJbRprn7I9zJhOVsRQh7Xl56eJfseS/teSOHfP7T7HsOe/Lf957a2vs9PRoUefLMyr/U/a+wxOUQ+vfWOT6l9Zq5rH2H1a/+0f2j9X5PaWf1T6hzXX1nWSitT+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGa3POMuitT+w9a/wCgPqn/AIL7v/4zR/Yetf8AQH1T/wAF93/8ZoANc/5DWsf9hTUP/Suasuum1jR9Xl1fVZYtK1KSOTUr6SOSOxunSRHuZWR0dYirIykMrKSGBBBINZv9h61/0B9U/wDBfd//ABmgDLorU/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//GaADUP+PTQ/+wXN/wCnrWKy66a+0fV3ttHVNK1Jmi02WOVVsbpjG51fVZQkgERKOY5I5ArYJSRHxtZSc3+w9a/6A+qf+C+7/wDjNAGXRWp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNABD/yBdQ/7Cmj/APpJrlGh/wDIa0f/ALCmn/8ApXDWlFo+rjSL6I6VqQkfUtKkSM2N0HZI7bWFkdU8rcyRtLErsAQpkjDEF1yaPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCgD3qiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvyA/4Ke/Bn9rz4reLfgJJ8Gfh/4r+Pv7O+n2vxF0f9ob9mvwR+0nF+y1e/FGPxLo0Gn6CnjLx89/pU2teArZPtcWpeGbK8uLm6ld7dtONtqc+pab+v8ARWc6UKk8PKaU44fE0sT7KcYzo1/ZxrRdHEUpxnCrRnGvNuEoS5KsMPXgnWw1Dl0p1JU1WUdHWozo88ZTp1aSnKjP2lCrSlCrRrRlQio1Kc4y5J1qTkoVqjP5hPAf/BNn9pXwZ+wX8ZvgDrf7IfwT+IWoj9tvV/i9pPwU8RfGHX00zxr8JZfD/h/w7peo/Az4xaF8SfCuueAvGOiWtvdaboGqfGRIJtQ8NwajJ4y8I6jfak2h6lY+Dn/BOz9uGD9gv9uT4B65pHjnwR4e+IfhfwLo37L/AOzR8Xf2ifAnx117wlf+CtWj8Y+LXtPiJ4O0TwX8LfC2lfEPWZHs9C0vTNN8M2cOoK1x4vtrZbKHxLrH9OdFOrBVqOPo1JTksxwGBy+vJycpKGAweS4KjiPfc41sX7LIsHONfFRxFSjXrY+tQqxeNqwhNObpVcFWio8+BzDE5jStGMU6uLxmLx1eklBR9hh518bXjUpYWVGNbDrD4atTnSweGlH8Rf2evgj+194m/br/AGcP2mvjV+zpH8FPDvgn9h3V/gN41tIvi38NPiJFo/jrR/iF4hOiwxyeGNbGp3sfifw3/ZviZG07R9R0vQ11MaJfa7c6jY3Ln5Ut/wDgnz+16ng6LSm+EeL9f+C09z+1q0H/AAn3wxOP2fZIrRU+IHmjxoYTlonH/CKiT/hNhtyfDYBBP9MtFdSxE1iqGMtD2tDE1MWlZ8k69bjKHHVac1e9qudKpGUYOEY4KvUoU1CcaVWnzuhB4OpgbyVGeHw+FTuueFDC8KZlwdh4Qk1Z+zyjM5vmmpSlisNhq03KPt6df8NPiT+xr+0L4h8df8Fn/EOlfDj7ZB+1b8Gfhd4N/Z6u/wDhL/BFv/wnur6F8Jtf8OeIdN+z3PiiB/C32XxBPpln9s8bweHLWfd9osbqayW4nHzP8VP2Jf28fFOi/st/CXxP8EtR+PP7O2nfsU/B74LeLPgef2uW+Afwx+E/x88O2eiW2q/En4y6Z4E1afVPjRpvgzUbS31bTLLwSfFP2yDSWXS5EubLTYNa/pjori9hD6tTwr5nRp4fL8Nyt/FTy3LOJMrw8nZWjXVPifG4uGIhFVsNmOGwGOwbw9eh7Rdc605154hWhWlXxmIjOK1p1cZLhuVRx5m+an/xi+AhOhNujicPXx+ExirYXEyon56f8Ervgf8AE79m/wDYY+DPwX+Mfgw+A/iL4Kl+IEPiHw//AMJD4e8UxBtZ+JPi3xDYalBrHhfWNc0eWHVdM1azvlt4b8zWTTPaXEEEsLRj2uvqCvl+u3FYipi8RVxNVRVStKMp8icY8ypUKTcYty5VJUIyaTaUpSUbR5VHloUaeHpqjS5lTjOtKKlJycVWxGIxDi5NKUlCWJlCMp3nKMISqSlUc5S/kT/4Opv+bEf+7n//AH3iv5E6/us/4L9/sE/tY/ttwfsoXH7MPwp/4WbD8LpfjjD47f8A4Tr4a+DP7Cl8dp8IZPCq7fiD4x8Jvqf9qp4L8THdo66gtj/ZuNSNmbzTxdfzk/8ADiD/AIKtf9Gr/wDmcP2cP/nv1+u8K5pluHyHA0cRmGCoVofWeelWxVGnUjzYuvKPNCc1JXi1JXWqaa0Z+V8TZbmGIzvG1aGBxlalP6vy1KWGrVKcuXC0Yy5Zwg4u0k4uz0aaeqPyJr67/wCCff8Ayfp+xH/2d3+zZ/6uXwXX13/w4g/4Ktf9Gr/+Zw/Zw/8Anv19Gfsef8EXP+Cl3ws/a3/Za+J3jz9mz+wvA/w4/aM+CPjzxnrn/C4vgFqn9jeFPCHxM8MeIfEWq/2bo3xT1HV9R/s7SNOvLv7DpWn32pXfk/Z7GzubqSKB/Zxmc5RLB4uMc0y6UpYTFRjGOMw7lKUsLiYxjFKpduUpRiktW5JLVo8jCZTmkcVhZSy3HxjHFYaUpPCV0oxjicPKUm3CyUYxk23okm3omf31aH/yGtH/AOwpp/8A6Vw1l1qaH/yGtH/7Cmn/APpXDWXX4EfuAUUUUAFamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fQBl0UUUAFak3/IF0/wD7Cmsf+kmh1l1qTf8AIF0//sKax/6SaHQBl0UUUAFZngHxJ/wlXh/xPqf2L7B9l1Txj4b8j7R9q8z/AIQ34nXHhD7b5vkW+3+0f7D/ALQ+z+W32P7V9k8+68j7TNp1meAfEn/CVeH/ABPqf2L7B9l1Txj4b8j7R9q8z/hDfidceEPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zYTlbEUIe15eeniX7Hkv7Xkjh3z+0+x7Dnvy3/ee2tr7PT0aFHnyzMq/1P2vsMTlEPr31jk+pfWauax9h9Wv/tH9o/V+T2ln9U+oc119Z106KKK3POCiiigDU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmrLoAKKKKANTUP+PTQ/wDsFzf+nrWKy61NQ/49ND/7Bc3/AKetYrLoAKKKKANSH/kC6h/2FNH/APSTXKND/wCQ1o//AGFNP/8ASuGiH/kC6h/2FNH/APSTXKND/wCQ1o//AGFNP/8ASuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivgbwB/wUJ+HnxTstWv8A4efBf9pLxlB4d/a31H9j3xR/wjHw60PxE/hTxfo/2Q6x8UPFH9h+NdRTQvghpIvrc6n411F4NUsBIpuvDEQePeQXtKvsYe9V5KdRwW6p1cXSwFOcm+WMYSxlejh+ec4QjUqQ9pOnBuqif7uk60/dpKcqfO9nUhhMVjpU0leUp/VMFiq6hGE5zhQmqcalV06NX75oor5m8BftV/Dz4iftL/HT9lfRNG8Z2vxC/Z90HwB4h8Z6xqmnaHB4N1Oy+I2i2uu6JF4Y1C08RX2t3t1a2l3HHqqar4e0WKC5V0tJ76ILMxH36saEfeqzpYmvGmvilRwdKFfFVEtFy0KNWnUqPmTUZxcYzd4ofu051XpTpzoU5zfwxniq/wBWw8X1vWxD9lDR3no3Fe8fTNfL9fUFfL9AH84//BwN+33+1r+w/B+ybb/svfFj/hWEPxTl+Ok3jxP+EE+GnjT+3ZfAafB+Pwo274h+DfFr6X/ZSeNfEw26M2nLff2nnUheGz082n83v/D+r/grD/0dZ/5gz9m3/wCc9X6/f8HWn/Nhn/d0f/vutfyB1+v8L5Zl2IyLA1q+AwVerP6xz1auGo1KkuXFVox5pzg5O0Uoq70SSWiPyviTMcfQznGUqGOxdGlH2HLTpYirThHmw1GT5YRmoq8m27LVtt6s/X7/AIf1f8FYf+jrP/MGfs2//Oer/R6r/IHr/X4r5/jnB4PCf2Z9VwuHw3tPrntPq9GnR5+X6ty8/s4x5uXmly3va7tuz3ODMXisV/aP1nE18RyfVOT29apV5Ob6xzcvPKXLzcqva17K+yNTQ/8AkNaP/wBhTT//AErhrLrU0P8A5DWj/wDYU0//ANK4ay6+APuAooooAK1NY/4+4f8AsF6H/wCmXT6y61NY/wCPuH/sF6H/AOmXT6AMuiiigArUm/5Aun/9hTWP/STQ6y61Jv8AkC6f/wBhTWP/AEk0OgDLooooAKzPAPiT/hKvD/ifU/sX2D7LqnjHw35H2j7V5n/CG/E648IfbfN8i32/2j/Yf9ofZ/Lb7H9q+yefdeR9pm06zPAPiT/hKvD/AIn1P7F9g+y6p4x8N+R9o+1eZ/whvxOuPCH23zfIt9v9o/2H/aH2fy2+x/avsnn3XkfaZsJytiKEPa8vPTxL9jyX9ryRw75/afY9hz35b/vPbW19np6NCjz5ZmVf6n7X2GJyiH176xyfUvrNXNY+w+rX/wBo/tH6vye0s/qn1DmuvrOunRRRW55wUUUUAamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNWXQAUUUUAamof8emh/9gub/wBPWsVl1qah/wAemh/9gub/ANPWsVl0AFFFFAGpD/yBdQ/7Cmj/APpJrlGh/wDIa0f/ALCmn/8ApXDRD/yBdQ/7Cmj/APpJrlGh/wDIa0f/ALCmn/8ApXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/Pj/wXd0Sw8VW/wCy5oOpfEL4OxW9rrXxX8SWvwB/aM8SfFr4Z/Bf45azpnhGwt9KN58XvAOqeAvCHhHxp4OF7eL4Xg+I3xm+FmkXs/iZo08Qmzm1TSdZ+LPgxrmiR/8ABPr4W/H7wj4X8ZeFb7/gm/8At66Hq2qrffFfQ/jt4QsvAGvav4P0X406F8IviF4PsNOs7/4MLB40fV7DSLTVvHrWWm2Ek9z8QfHFrfy6039UnxG+FXwv+MPh9PCfxc+G/gL4peFY9Qt9Wj8NfEbwf4e8b+H49Vs454bTU00bxNp2p6cuoWsV1dRW96tsLmCO5nSKRVmkDVtP+D3wk0n4cS/B3Svhb8OdM+Ec+malok/ws0/wR4ZsvhxNo2sTXNzq+kS+B7bTI/DMmmarcXl5PqVg+lm0vpru5luopXnlZ88IquDpY32UqbxFTMsFmmClKMnSp4vBZvl2ZwlirNV6kHSwuNy+dKEqqdDMqssPXwEIfUqlYv2eLlglUU40qWX43LcSouPtHhcdl+bYGusMmnRjVlPH4PGQq1Y03DEZZQ9tTzB+xr4b+Q7U/EHjyDR/iv4f03UPF8urf8FuLrw9r/w/W7mhuoNI+3/te+LfCGpWVnBDc20ljZH9nPxf4R1K4ju5LpBHfXlncSxaNYwwWPO/tu+BtQ1r9rv9qT4fePvH/wCyn8K/B/7L/wAO/hR4a/Ztt/2rfip+0v4F8QfDf4c6Z8OLKLSPFn7KXhn4BajHp3jbxZLqmn23iPWdI1Lwp491a48RWWgQ2/hjUVg1i0n/ALCI/gd8FIbj4cXcXwf+FsV18HLWax+EVzH8P/CaXHwrsri1gsbiz+HEy6QJPA9rPY2ttZzW/hhtLhltbeC3dGhhjRanj/4AfAf4r69oPir4pfBP4R/ErxR4VSOPwv4k8f8Aw38G+Mde8NpDejUYU0HWPEWjajqGjpFqAF/Gun3FuEvQLpQJwJKFRp044KlRdSNLB1KmHpynJuvTy/CZZg8p4eqU6lKVFyzTJ8LHNantpVcPTq184xUqGLwl5VKrlVnVnjK1WNP2mLhCvKnCKdGWOxGZ1szzinONaFW2W5lKjkmF9iqVacMPk1BYjD432lanX/m8+J1v8PfjH+09+w58LP8AgqH8WtM1b9n8/sAaL8RPDniLW/H3xA+DHwi+J/7QU99NYan4z8S+IfFVp8KPFuleJr3wSItSNr4i/wCEN8RR6wdHsLzS9PHiK68O6x8p/AWTwzL8Gfg5L4K8S6v4y8HS/wDBwl4Pk8KeL/EF5dajrvirw5JoXhx9E8R6zqN6Te6jqut6abbUtQv7zF3e3VzLc3KpNK6L/YB8TPgv8HfjTp+maT8Y/hP8NPizpWiXz6no2mfEzwJ4W8eafpGpSQNbSahpll4p0rVbawvpLZmt3u7WOK4aBmiaQxkqcW2/Zz/Z7soILaz+BHwatLa1+I6/GO2t7b4YeCIILf4uoECfFSCKLQ0ji+I6COML44jVfE6hEA1QBVx24euqWM+tSgopZksbKnQUKaxK/wBc48Ve3xaUIU5ZksLbJvbUadLDOhhMJONKhQjHA4Pmr0nVwTwik5SeAhhI1KznNYZw4Pzzhh08Lec6kcHWxOa081q06tSdd1YVoOdatKGJl/Gj+1XqXhf4fftm/HL4/ax4m8AftAXfhb9qnWdeufGngr9oTx1+zt+3Z8HL3wxrvhrSPB3ws8P/AA1+NQtfDfjLwn4Wla00ex1D4Wfs+fF601Hwxo+rxw/EzwJpsVm2g/ppq/7L/wAGf2vP+Cmf/BTjTPjbonjDXPCeg/Av9njxXpfgqDxv4y8D6UfEs/wh8O3eja74o0vwbr2inXdb8JNazJollrdzqWi6bPqervNpl5NNBNb/AL8a3+zh+zx4m+Iln8XvEnwG+DHiD4sadeaRqOn/ABP1v4XeB9W+IljqHh9YE0G+s/Gt/odx4ltrzREtbZNIuYNTSfTVt4Fs3hEMYXrrL4YfDXTvFfi3x3p/w88DWHjjx/p+naT478ZWXhLQLXxX410vSLNdP0nTfFviKDT49X8Safplgi2OnWes3l7b2Vmq21tHFCAg8uGGlHKcPl/NH22GyriPAUKyTUKGIzfhzCZLgsVSX8SU8JjsHh80qVZxhi1OlSUKuNx0JZrV9B4iLzTE4/ll7LFYrIq1ek2nKtQyriLDZxXws/8Al3GnWwMMVllOFOTw844mTnRwWE58vl+XX/BJuwu/2gf+CUnwC8PfFDxX8RtQi1DTvF3hyXXvCnxR+I/wx8eWuheAvjH4nsvCWl6R8Svhf4p8HfEPQrTSNK8OaNoKx6J4o0/7Z4atH8M6gbvQLu9024+8v7Yu/wDnjpf/AII9F/8AlfXr3gXwB4D+F/hfTfBHw08E+Efh34L0c3jaR4Q8C+G9G8JeF9KbUL241K/Om6BoFlp+lWJvtRvLvULw2tpEbm9uri6m3zzyyN4bXr4/ExxmNxOLjCUFiKvteWTjKScqdCM3KUdJSnUp1akpauUqspScpyqSn5eDw7wuGp4dyjL2brKLimoxpzxOJq0qcYvWMaVGtSoxirRiqSjBRpqEY/yG/wDB17eS3f8AwwT5qWqeX/w1Lt+zWNlZZ3/8M553/Y7eDzMbRt8zfsy2zbvbP8fNf1+f8HWn/Nhn/d0f/vutfyB1+wcI/wDJPZf/ANzX/qZXPynin/ke47/uW/8AUWiFf7Bn9sXf/PHS/wDwR6L/APK+v8fOv9fivm/EH/mU/wDc9/7qn0HAv/M0/wC5P/3ZOm0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysARm/2xd/8APHS//BHov/yvo0P/AJDWj/8AYU0//wBK4ay6/Nz9ANT+2Lv/AJ46X/4I9F/+V9H9sXf/ADx0v/wR6L/8r6y6KANT+2Lv/njpf/gj0X/5X1parqt1HcxKsWmkHTdHf59H0iQ5k0ixkYBpLFmCBmIjjBCRIFiiVI0RF5mtTWP+PuH/ALBeh/8Apl0+gA/ti7/546X/AOCPRf8A5X0f2xd/88dL/wDBHov/AMr6y6KANT+2Lv8A546X/wCCPRf/AJX1pS6rdDSLGTytN3NqWqoQdH0goBHbaOylYjYmNHJkbfIiK8gEayMyxRBOZrUm/wCQLp//AGFNY/8ASTQ6AD+2Lv8A546X/wCCPRf/AJX0f2xd/wDPHS//AAR6L/8AK+suigDU/ti7/wCeOl/+CPRf/lfWT4D8cXXizQPEeqnTtNsDY6t4y8PLAun6ROJD4O+Jd34M+2SOmlWqumorozaiLOWKVLJ7lIRLcyWkd47qzPAPiT/hKvD/AIn1P7F9g+y6p4x8N+R9o+1eZ/whvxOuPCH23zfIt9v9o/2H/aH2fy2+x/avsnn3XkfaZsJytiKEPa8vPTxL9jyX9ryRw75/afY9hz35b/vPbW19np6NCjz5ZmVf6n7X2GJyiH176xyfUvrNXNY+w+rX/wBo/tH6vye0s/qn1DmuvrOvT/2xd/8APHS//BHov/yvo/ti7/546X/4I9F/+V9ZdFbnnGp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAdNrGq3Uer6rGsWmlY9SvkUyaPpErkLcyqC8sti8kjkD5pJHZ3OWdmYknN/ti7/546X/AOCPRf8A5X0a5/yGtY/7Cmof+lc1ZdAGp/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1l0UAdNfardLbaOwi00mTTZXbdo+kOARq+qx4jV7FliTbGpMcQRC5eUqZJJHbN/ti7/wCeOl/+CPRf/lfRqH/Hpof/AGC5v/T1rFZdAGp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAdNFqt0dIvpPK03cupaUgA0fSAhEltrDMWiFiI3cGNdkjozxgyLGyrLKHNH1W6k1fSo2i00LJqVijGPR9IicBrmJSUlisUkjcA/LJG6uhwyMrAEZsP8AyBdQ/wCwpo//AKSa5Rof/Ia0f/sKaf8A+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWVZ67oeo6lrGjafrOlX+r+HZbKHxBpVnqNpdaloU2pWceo6dDrFjBM91pkuoafLFf2Ud7FA91ZyR3UAkgdXJ1t1ak0urUUnJpbtRUouTSaipJycU02dL9LpX6Xk2oq+15NNRV7yaaipNNLVr5fr6gr5foA/IX/AIKu/wDBWn/h19ZfAuz/AOFAf8Lx/wCF73XxHufM/wCFq/8ACtP+EV/4VVF4Hi2bP+Fb/ED+3P7e/wCFmbt27R/7L/sTG3Uf7SzYfjj/AMRX/wD1YR/5tL/+TnR/wdf/APNhH/d0v/vudfx71+m8PcPZRjsowmKxWE9rXq+355+3xEObkxFWnH3adWMFaEYrSKva7u22fnee57mmDzTFYbDYr2dGn7Hkh7GhO3PQpzl706cpO8pN6t2vZaWR/rX/ALPHxY/4X18APgb8c/7A/wCEU/4XP8Hvhn8WP+EX/tX+3f8AhG/+Fi+CtE8Yf2B/bf8AZuj/ANsf2P8A2x/Z39q/2RpX9ofZvtf9m2PnfZYvYa+Pf+CeX/JgP7Df/Znv7M3/AKpbwTX2FX5xiYRp4nE04K0KeIxFOCu3aEMRXhFXd27RhFXbbdrtttt/fYeUp4fDzk7ynQoTk7JXlOhRnJ2VkrynJ2SSV7JJJGpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNZdYmwUUUUAFamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fQBl0UUUAFak3/IF0/wD7Cmsf+kmh1l1qTf8AIF0//sKax/6SaHQBl0UUUAFZngHxJ/wlXh/xPqf2L7B9l1Txj4b8j7R9q8z/AIQ34nXHhD7b5vkW+3+0f7D/ALQ+z+W32P7V9k8+68j7TNp1meAfEn/CVeH/ABPqf2L7B9l1Txj4b8j7R9q8z/hDfidceEPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zYTlbEUIe15eeniX7Hkv7Xkjh3z+0+x7Dnvy3/ee2tr7PT0aFHnyzMq/1P2vsMTlEPr31jk+pfWauax9h9Wv/tH9o/V+T2ln9U+oc119Z106KKK3POCiiigDU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmrLoAKKKKANTUP+PTQ/wDsFzf+nrWKy61NQ/49ND/7Bc3/AKetYrLoAKKKKANSH/kC6h/2FNH/APSTXKND/wCQ1o//AGFNP/8ASuGiH/kC6h/2FNH/APSTXKND/wCQ1o//AGFNP/8ASuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooA8D/ar8a+Jvht+zD+0X8RPBWp/wBi+MfAnwM+K/jHwprH2PT9R/srxH4a8Ca9rOiaj/Z+rWl/pd99i1Kytrn7HqVjeWFz5fk3drPbvJE/4S+E/wBqT/go58JfhJ+wd+2V8Xf2m/h/8Yvhb+0x8SPhF8MfHH7PNt8Fvh94MOj6T8ULLUbHTfF+lfErw+lv4h1nxmbTSJPE2taVZ2ugeHdF8UXk2nW2h3/hexlsof3a/ar8FeJviT+zD+0X8O/BWmf214x8d/Az4r+DvCmj/bNP07+1fEfiXwJr2jaJp39oatd2Gl2P23Ur22tvtmpX1nYW3medd3UFukkqfmF+xJ/wSP8AAvw88D/sp+OfjprHx2m+IHwW0XQ/GEX7NviX4zweM/2dfhv8b40ku9W8deFfBmnnW9Os/Er+IJrrxLLLoPjO58Ly69e3F3DpjW/lW0Ky/wB3McVVr6YehieFat6q9rTqYKGKz2eeYPD4Sdo1quYYOGHwNSvTcZYCpiMFjakqfsaVRvGWll1KlS1xFb/WGmlTfsqka08oyuGUYipio3nQpYHNJ/Xo05RlHGxwmOwUFOWIqUanwL4v/wCCm3/BRLx58Z/jH47/AGe/Bn7RXjP4efCT47+IPhp4S+Bvwr/Yg0/4ufA/4h+F/AfiG00zV3+JH7Str4jb4q+CPH2uaRcX+q3eieEvB19Z6XInhhYfsdtq+ova/f3hH4rftt/H/wD4KP8A7Q/wi8D/ALQv/CmfgB8A9L/Zm+JF/wDDzVPgx8NvEvjDW7Tx14A0LxFr/wAJW8Q63pcWseE4PFdzc+IJPEniq9fxTr3he/sdMtPDNtZWrXkEntPj3/gkP+y/8Qfiz4u+I2peK/j5o/gz4j/EDTPin8Uf2bfDPxSbR/2a/if49027g1GTxH44+HK6DPfane6nqttb6pqAtvE1jD9shX7BFY2zy28n1t4F/ZV+G/gD4/fH/wDaK0q+8Uah4u/aP0T4deH/AB34d1q60K68EWGm/DPw23hbQ4fDWk23h2y1S0F/pjt/bcesa5rkF1OSbOHT7cm3qMFGdLB4GFaTli8Pl+ZxnOUlUvm08hy7CYbEVJ8lSlicNiM/pY/NqFKvRxEMvp1KUa2HcJVcrk8Y41cTmTorkw2KrYONGMFyOOBef/Wa1GlFyjPDYjC8Pr+z516VShPGV5VPZ15uVPHUP59f2fv+Cjn7aVr+2v8ADT4W/tWfHa7+Cur+MvibqGneLf2Xfjr+yvpnw2+Ho8H+LfF2reFvBOm/Ab45eCbHxf8AEnxtqqt9juPC3iD4pWHw++H2pS6deW2ofEjxYEil1n6P179ov/goN8fYv25f2kvgZ+0V8PfgN8H/ANib4k/E/wCHvhv4Ba18FfDPjr/hc7fAHS28V+M9R+I/xD8VHT/E3gYeNNPmtrC1/wCEQuYY7K0l+wxLoV/pcvjDXvrbwJ/wR7/Zp+H/AI/8HeJdN+I37TWr/DP4c/E2X4vfDv8AZe8R/GSXVP2ZvA/jqO91LVNF1fw98Ox4ft9Thk8N6tqt1qWkveeKb25uJ5JbfX7jW9PvdSsr3W+L3/BJP9nL4t/E34hfEOL4g/tI/CnRvjPqOm6v8ePg78GPjBceA/gx8dNUs7u4uNRv/ib4Oh0PULvU7jxLBdT2XiBtF1vQVuBPeatYrp3iTU9V1y+HGo8HgqcJKjjKeX4/D067TnSwOOq1shngsfjKUniHmqpUMHnGHeGVbGUqMsasVTdaeLq0stuUqf13HVZQ9phK2YYHEyw8f3bxOX0qmd/XcswU/wB08teIo4vKVDFzjQrxlgo05y5cKsVmfxMn7Y37Z37XX7S/7Knw1/Z0+N2h/sweEf2h/wBgrTvj/wCLE1z4Q+EPi5L4K8Zp4y8U6ZrWq+EbPxLa6PqWt3sl3o2m+HdIi17xHD4TfwxcXviJtBudbNkH4jwv/wAFGP2zJf2TR4FvPGHgjVv2pdZ/4KNX/wDwTz0b4/3vgbToNC09Lz7POnxYvvAek6ba+EX1/R5b86fo2kvo0ehXVnb2V5quiaveWuow6r+zmj/sVfBnw3+0Z8OP2lPC/wDwknhnxH8KPgBD+zX4K8B6JdaDafDHS/htaapdanp8aaIfDsuvrq2nfavsFnPB4og02PT4LeOTSpZ1kuJPFp/+CWX7M1/8G/jR8FNYvvidrGg/Gf8AaC8TftPyeJrjxRo+n+Ovhp8Y/EcVrFB4m+FmvaB4X0aHQj4a+ylvD8Ou6d4mbbd3trrsuuWF1JaV0SlQUp2oTlhalfEV62FVX2derTj4gwzPDYWhiuecsF7TgyeIwVqVZUaV45VVq1JRo5jR50qvsaKdWMcXSoYKhDE+z56MKj4KznL8Ziq+H5Yxxrp8U1clxlqtN1a6wlTHUYU71sNivmj9oD41/t+f8E8P2TP2j/iN8bPjF8KP2qtYtNa+HGh/s4fEWL4aL8N/Gq6546v7Hw/4nsfiL8LPBun2fgYaX4Xnll1XwR/Y3irV9T125huV8S3cdvfWOi6Z81/AT9tT/gohpfhr9qvTvi3on7VWv+HPDv7Ivxf+L3w2/aB/aG/YY8L/ALK998O/jD4B8M6nqGmeFYNG8M6p43+GnjDw3qNoLfXNOuvEl0+t3mt6fNpknh99DE8k36ReEf8AglR+zNo/w8+Ovgb4ha38af2hda/aL0nRdB+Jnxb/AGgviZd/EH4wXmheFTbXHgrSdI8Xx6Zo1vo1r4M1a0t9c0OS10f7XNqNvYx67c6zpek6Ppunt+Ff/BLP4FfDLRPjTaan8Tf2jfjF4v8Ajd8GNY/Z71j4rfHD4nWPxB+JXg74Qa1pl3p1z4J+Hurz+FNP0bQNIhmul1a0trzw/q8UGpWlpmN9PjfT5OWtGtKGaJVY1K1fKPq+DqQj9Xpqt/ZNbDQoKMVCpSxdLNJYfHzzhU8P7aNKSaqciw+O6aMqMauWSdNwo0M3oYjGQlL2054eOcZPisRXfM5QqYaplWFzPAwyrnrpTxcpcsFi3PK/zN8BftWf8FGPAfh3/gmh+0h8VP2mvA3xS+HH7ZHxV+GXwh8YfAu0+BfgjwfDo1l8QI7jTLDxkfiJpFuviPVPFUtjDJ4n1Sz0q28JeF9L8UrBpen6JqnhkzW7fN3hfxd+19+yz8L/APgsZ8ffBH7U4n1/4ZftIt4Uu9OPwP8AhjEPFHxU1/4pfCzTrn4vm71a28QWeigeC77XvCP/AAr+LR7/AMOn+2P7ejuYNW0+zkT9+9T/AOCdvwU1X4Vfsh/CC48UfFJPDX7FvxC+H/xK+Ft9DrfhNdc1/XfhuJ10O08f3MngiSw1TSboXD/2rB4d0zwreTkJ9jv7HB3eSfE3/gkd+z/8TvEv7TOt3fxW/aV8J6F+1hJp2o/FX4aeDfiN4bsfhi/ifTvEvg/xXH410XwnrHgHXIk8XS6t4PjB1bXbrXxZWXiDxLY6Tb6db31omn9OJ5JYvEVMK3RpzlxBg8PWjFKrQyvHY7w8x+BhKMlKVWTlk/GFFqp7Srh3jMD7SdTCLDUMJlg3yQwMcX+9UHw7i8fSfvwrY7L6/GVDHOk9I00sBmnDs4uHJSxLweMg4/W6teviff8A4G+CP2xtP/Z+1GTx9+014A8e/H3x1d6N4z8OeLvFf7PNgfhh8K9I1m38N3+o/DeD4c/Df4lfC3xF4/03SIE8R6do/i7Vvidouuz3epaXrGpw3ltpM+hat6L52i/9A/VP/Bxaf/KOvfdK06DR9L03SbZ5ZLbS7Cz063edkad4LG3jtonmaNIo2laOJTIyRRoXJKoikKPm6tcXUpVcTXnQhGnh3VqLD04Q5FDDRqVI4aDTcpuUcPGhGc6s6lapOM6lerVrzq1Z8uDp1qeEw0MTJzxPsKLxU3P2nNipUaDxUoysoqDxP1h0404wpQg4xo06dJQhH+QH/g7Ieyf/AIYF+x291Bj/AIan8z7TeRXe/P8Awzjs2eVY2Xl7cNu3eZvyuNm07/47a/sI/wCDr/8A5sI/7ul/99zr+Pev17hT/kQYD/uZ/wDUuufl3E3/ACO8b/3L/wDqLRP9WD/gndLpA/4J/fsMCWx1J5B+x1+zIJHj1W1jRnHwV8E72SNtHlaNGbJVGlkKghTI5G4/YnnaL/0D9U/8HFp/8o6+Kf8Agnl/yYD+w3/2Z7+zN/6pbwTX2FX5FjP98xn/AGF4v/1KxJ+pYT/dcL/2C4b/ANRsOdNo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3DN87Rf8AoH6p/wCDi0/+UdGh/wDIa0f/ALCmn/8ApXDWXXMdBqedov8A0D9U/wDBxaf/ACjo87Rf+gfqn/g4tP8A5R1l0UAannaL/wBA/VP/AAcWn/yjrS1WXSBcxeZY6kzf2bo5BTVbWMBDpFiYlKto8hLpGUSR9wEjq0ixxKwiTma1NY/4+4f+wXof/pl0+gA87Rf+gfqn/g4tP/lHR52i/wDQP1T/AMHFp/8AKOsuigDU87Rf+gfqn/g4tP8A5R1pSy6R/ZFiTY6kYzqWqhEGq2odXFto/mM0n9jlWRlMQRBEhjKSM0kgkVYuZrUm/wCQLp//AGFNY/8ASTQ6ADztF/6B+qf+Di0/+UdHnaL/ANA/VP8AwcWn/wAo6y6KANTztF/6B+qf+Di0/wDlHWT4D8U6R4r0DxHqiaLqWnraat4y8OS27a7a3hmTwd8S7vweLuOYaBaCF9Rk0SPUzC0M4tEuHsPMuWRb5nVmeAfEn/CVeH/E+p/YvsH2XVPGPhvyPtH2rzP+EN+J1x4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TNhOVsRQh7Xl56eJfseS/teSOHfP7T7HsOe/Lf957a2vs9PRoUefLMyr/U/a+wxOUQ+vfWOT6l9Zq5rH2H1a/8AtH9o/V+T2ln9U+oc119Z16fztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6y6K3PONTztF/6B+qf+Di0/+UdHnaL/ANA/VP8AwcWn/wAo6y6KAOm1iXSBq+qiWx1J5BqV8JHj1W1jRnFzLvZI20eVo0ZslUaWQqCFMjkbjm+dov8A0D9U/wDBxaf/ACjo1z/kNax/2FNQ/wDSuasugDU87Rf+gfqn/g4tP/lHR52i/wDQP1T/AMHFp/8AKOsuigDpr6XSBbaPvsdSZTpspiC6raqUT+19VBWRjo7iRzIJHDqsQCMkfllo2lkzfO0X/oH6p/4OLT/5R0ah/wAemh/9gub/ANPWsVl0AannaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdZdFAHTRS6R/ZF8RY6kIxqWlB0Oq2pdnNtrHlssn9jhVRVEodDE5kLxsskYjZZTR5dIOr6UIrHUkkOpWIjeTVbWRFc3MWxnjXR4mkRWwWRZYywBUSITuGbD/yBdQ/7Cmj/APpJrlGh/wDIa0f/ALCmn/8ApXDQB9GUUUUAFFfKmmfts/s1az8bn/Z803x5rFz8Qh4p1fwBb6kPhj8WIvhFqfxM8P6Jd+I/EHwk0P8AaGn8Dxfs/wDiD4y6BoWm6xqeufB7RPibqHxN0i18P+JX1HwpbHw3ry6d7t49+Ivgz4YaNp3iDx1rkWgaRq3jDwJ4B067ltNQvjd+LviZ4z0L4feCNGittMtL2783XPF3iTRtKFy0C2OnrdvqWq3VjpVpe31sQ/eU6FWn+8pYqShhqkPehiJyq06EYUZLSrKVatRpwjC7nKtQ5FOFehVxDknCdSnNONSlFzqwkrSpxUKlSUpp25YxhSqynJu1P2NaNR0qlGtRodrRUU88NtDNc3EscFvbxSTzzSuscUMMSGSWWSRiFSONFZ3diFVQSSADXyX4C/bl/Zy+Js3wRtvBOt/E3WLj9ouDxjqfwihl/Zz/AGjtHl8ReFvAj6LHr/xE1aPXPhPpreBvhNI/iXw0nhv4v+Px4X+F/jZvEvhweC/F3iA69pP2wi1OoqUPeqv2dqcbuf72VWFLRL/l5LD11C7V1Qry92nRq1qSl7sHUl7tNe0vN6RXsqcKtTV/8+6dSnOdk7RqU95VKdOp9c0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfL9fUFfL9AH5Cf8ABV4/8EjhZfAv/h6Qf9MN18R/+FC/8nM/8e3leB/+Fr/8m7/uv9b/AMKx/wCRy/ef9C38v/CQV+OG/wD4NMPX9P8AgpV/hTf+DsP/AJsH/wC7pv8A33Kv486/TeHsm+t5RhMR/amcYb2nt/3OFxvsqEOXEVYe5T9nLl5uXmlq7zcn1PzvPc2+rZpiqH9m5ViOT2P73E4T2tafNQpy9+fPHm5b8sdFaKS6H+vR8PPAPhL4U+APA3wu8A6T/YPgT4beDvDPgHwVoX2/U9U/sXwl4O0Wy8O+HNJ/tPWrzUdY1H+ztH06zs/t+rahf6neeT9ov7y6upJZ37CiivzOUnKUpSblKTcpSbbcpSblKTb1blKUm29W229Wz9DSUUoxSjGKUYxSslGKUYpJaJJJJJaJJJaJGpof/Ia0f/sKaf8A+lcNZdamh/8AIa0f/sKaf/6Vw1l0hhRRRQAVqax/x9w/9gvQ/wD0y6fWXWprH/H3D/2C9D/9Mun0AZdFFFABWpN/yBdP/wCwprH/AKSaHWXWpN/yBdP/AOwprH/pJodAGXRRRQAVmeAfEn/CVeH/ABPqf2L7B9l1Txj4b8j7R9q8z/hDfidceEPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zadZngHxJ/wlXh/xPqf2L7B9l1Txj4b8j7R9q8z/AIQ34nXHhD7b5vkW+3+0f7D/ALQ+z+W32P7V9k8+68j7TNhOVsRQh7Xl56eJfseS/teSOHfP7T7HsOe/Lf8Aee2tr7PT0aFHnyzMq/1P2vsMTlEPr31jk+pfWauax9h9Wv8A7R/aP1fk9pZ/VPqHNdfWddOiiitzzgooooA1Nc/5DWsf9hTUP/SuasutTXP+Q1rH/YU1D/0rmrLoAKKKKANTUP8Aj00P/sFzf+nrWKy61NQ/49ND/wCwXN/6etYrLoAKKKKANSH/AJAuof8AYU0f/wBJNco0P/kNaP8A9hTT/wD0rhoh/wCQLqH/AGFNH/8ASTXKND/5DWj/APYU0/8A9K4aAPoyiiigD8rPgfo/7UXwnl1P9lGf9kO88UeCE+PH7QPjWL9rfXvjH8G9J+Dcvwx+Mfjz4lfGbRvEej+FbHW/F37RuofHXQ9X+Itj8PNX8Dax8DvCHgK7v9K8SeJ7H46jRxosOvfmXH+xL+0/8Tvhd4F0L44/sCP4m0j9nz4G/wDBKv4U2nww8beLP2S/iFqHxe8Vfsj/ALS/ifxB+0L4g+G8WqfGjUfh/b+D9W+EviO5fwRP8VNa+FXifxT4f1PxL4d8Q+HdC1HUj4bm/pDvtd1WG9vIY7rbHFdXEca+RbHaiSuqrloSxwoAyxJPUknmqv8AwkOsf8/n/kva/wDxinhZPDVcHWVq1XBvLJxnWjFupWyaOAoZbXmqapxhVw2CwEMLF0I0+adarmDmswp4SeEqpJVKWJoKKpUsU8cqkKbndU8z9vPMKUak5zqcmJxNeeIbm5zpRSwVJvAupCp+MnwC/YZ8fWX7QPxE1Hx/+yhoPhdNc0P9vDw1+0n8fvEmvfB3xVo37fXhD9o74qweIv2ffBmsaJonizxL8RfHuh/Cv4axr4T1fSf2l/BfgTSPg9bWY+GnwWj8Z/DzxBrGqW3e/sff8E4/DPwS+IP/AATd8dah+yn8FvA2v/s1f8E9fHPwk8YeKtE8GfB2LxB8Ofjx4q1r4H6te6foureG1n1WbWNcu9T/AGk9Q1Pxh4Pmv9Hu7zxt8Rbi/wBfa4+JN83iP9orGR5rK0mkbdJLa28kjYA3O8SMzYUBRliThQAOgAHFWqrCzeDhQjR0eHo0qMZ3lGTjRwOcZfC3I4Rowjh86xco0MOqWGp4ieJxNKjTrZtncsyiteusRGbfJialepUpr4G8TUwNSrzRk5KrKf1CjSlVrqrWqYaOGwlWpUw2WZTSwRRRRUDCiiigAooooA8C/ah/aM8C/sm/An4g/H/4jw6veeFfh/ptndXOl+H7eC713WtR1fVrDQNC0XSYLq4tLY3mq61qlhZLNdXMFraRzSXl1NHbW8rj5J+DX7enxhvk+Id7+15+xN8Uv2RfDPgr4KXvx8sfH7eKrP43fDvVfBWiQ3Vz4g0bWvF3g7wtoll4O+JNrZQpqGmfDXVYp/Fuo2Md/Leafo80Om2+sfQn7bv7Lmnftl/syfEz9nm/8RN4Pn8a2mjXOieK101NYHh/xH4Y8QaX4n0K/n0x7i0+22TajpENnqVvHdW1xJpt1di1uIbnypV+VvA37Nn/AAUD+NPh74kfDz9u/wCOPwDtfhD4s+BPiD4MxfDb9lzwfqdx/wAJZrPivSrvRrv4q+NfGfxX8KweIdF8SeHbOUTaX4b8FLZ+ENZ1Oa2vbzTNJtdHm0zxDz3xHss2dOMZYqNCX9nQr8sMI6f9k15qtTqxkqlXNI51GFGGFrWw08M8KqnJha2YYzCb2w/PlftHKOHliH/aM6PNLFRf9q5XCFP2bi6ccBLKJ5lVrV4f7RCtCo6XNiqOX4XHcF8Of+Cr3jbVda+CXiz42/sW/EH4Bfsu/tM+MbDwP8Bv2h9c+KPgrxZca9rXi25nb4av4/8AhXo2m2niD4a6Z430m0uNRh1W91nWtPtQba50251/w3NN4mtvLPGf/Bajxx4Ob48eLP8Ahhjxp4g+Bv7Mv7ROq/Az4z/GHRfjV4Rjg0eyt/F2n+E9F1/wv4Q1vwno+seL/FOrST3l3feCrO4s9H8NiXwzHrPxAit/EhvtJs+Ef+CdX7b/AI40n9mv9nP9qH4xfs365+yB+yf448I+MPB118KfDnxA0745fF21+EhuNM+Ffhr4m2XiCCHwH4Z0hNAuRD4gbwrfapfRizispLzxJqk//CX2sfi//gl38fvEH7KX/BQH4FWni/4PR+Lf2rf2utQ+Pnw81C61/wAaJ4c0bwdd+O/B3iiPTPGl3F8P5tT0/wASjT/D17DJZ6HpHiLSxeS2sa6y0Dy3EHY403Xl7Gp/s0atWOBliIydWvgamfcG4TDYjOKSVN0cxpZXjuLMZXwuFlRhLDZcqtRU6lDD0sfhRTmqMMRanUqzwlPHypNexwlWWF4tniXllS9RVcJF4bhjmrV411Tx2LnRourSqVnh/Z/CH/BU3xNeeLP2mfAnxU/ZM8XfBbxl8Fv2XvEv7XXw18OeJfih4V8R33xZ+EmhW9/cWb+I7jwfo2r6X8KvEmqA6DFLoY1Hx9NpNze65a30v2nw9FFrXA/Dj/gr38QtaH7NXj/4wfsO+OPgv+zR+0/4o8L/AA/8C/Huf4w+D/Ggg8eeK7ae30u01D4cab4c0rxNY+EbvxBY6lBpXizW7nQ7jW/C1n/wlumeHpxMujLY/bC/ZI+IWi/E79sf9r5tW8Dr8LZv+CUvxg/Z7tvD1rf62vjeHxdYadqnihr/APsk+G4vDsfhYaZZSW8N1H4mOpi7MUR0VLctcJ8ufsgfsiftj/tSfs3f8E99E+Lnxd+CE37F/wAKZvhd8ftCs/Dfh/xtpX7RXiW/8HwXt/4Q+Gfi9pJJ/ADeFPDs2oT+HbXxNoeo6Xrl7oVlY6pqWlXev/vLd4J0q2KipRao4afD0MbCtN+zo4HFcQ8c4TH4jEVqcY1FmWI4byjJcbg40YfV6+bSpOGHw9LGVsHQwrOtHAuo1yV8TTx08P7KKdX69DgzhTMqeDw9KpKVKWDwnFmYY7A4115uvRyyeL5sRiHhKWKP0Z0T/go9/bHwr/4KFfEz/hTX2b/hg74hfFPwH/Yn/Cw/O/4Wr/wrOwur7+1f7S/4QaL/AIQb+2/s3lfYfsHjD+zd+/7Zf7djfFtp/wAFAP2sfiF+3p+x5D4W+Cupw/Af4rfskeEPjXqnw/g+NngrTtGtfDXxMj8Nan8QPjTrN/deGdK1fxI3wQtru/8ADun+BNStoNS8WPodzr/hTTtFm16QNf8Aij/wTh/bztNX/by+Hf7P3xV/Za079nj9uLxV4v8AiD4huvibpvxOl+L3hfxB4u0a8l1nw5oceg6RqHhGx0bxBq8yeGtV8R6hc+Jr7TPDcr+JPD3hyx161XR7z0aT/gnl+1D4U8d/sL+O/h14s+AF/J8Ff2RfD37H/wC0b4f8e33xGGm614HaDRrHxprHwkv/AA14ctNRvtdvLF9f/wCEcufFB8KW9je2Wh3GoWd3b3+o2Vjx4V1/ZZXiZRpvGU6OTU54fGSdPDyzOXBXGuFzWvmEKTfJls+Lv9XJVK8JTWHwmL+u4PD0406P1fsxfsVLG0IOaw9WWdy9thUqleGXxzrgrE5VDBSquMZZjHJ4cTqhQqKDr4zD0cFjK0oYir7bnPhf/wAFz/hr8RvjD4D8OXPwl0Pw18Cvip8S4fhX4A+LMn7SfwX134qNr2qald6F4c1jx5+yvo99L8Vfhz4O1jW7GeGTxTrlxLp2naXd6HrEzSw65ZQnvB/wVU+LureJP2vV8HfsT3niH4YfsYeJvjx4d+Kfxbvf2gfDnh/Rnf4SeH9f1fwtFpXhy7+Htz4n1HWvH994en07UdK0ew1iy8A2+o6Nquo63rMN+1vB4P8As5f8Ejfjp8GPiH8MvBurx/sEal+z18Jfije+ObD4tx/sz+EvF/7ZfxJ8MWetXWv+HvAXjfxD8RfhvrvhXw7Et5cQWknjHwj4gHjrw9aadZNoHiJvLt7e0+svBn7B/wAXvDvwP/4Kc/DS98R/DeXXf20viz+0R48+Ft3a6v4nfSdA0j4t+Gjo3hu28fzzeD4LzS9Ssro+ZrcPh2w8VWttB81healJ+6qqzlHA1KmHdarXp5LmlbCxrQhTxGJzD6zw1Sy+njqC0pYuEcVxFVVClVpUa9HBQc+WlRwlTMXRUJY1066pU8PUzfJ6NWVKc50cPgJ4riCWY1MFXklKrho4LDZDGpWrUqtWnVxkpRjHE1MVQwPhHhP/AILH/GLxDqvwQ0u8/wCCdPxPs5f2qvh7rHiL9lqPTvjl8ML68+KvjLQdN0i71TRtbtdZ0/wxF8Nvh7bz3moXCfEjxNdvqt14Yg0nxVZ/Du4stYnt9I7iP/gst4KsP2T9R+PHjD4Kan4P+Lmn/tF69+yjL8BtW+J3hLT9GtfjXo6m/wDsetfHLxFYeHPBnh7wLa6FJbaj4m8e6tpEGmeGrkX9tJa6hYWUesXfXeBv2Afi74c8a/8ABKjxFqviD4Y3en/sMfCz4h+CvixBb6r4mnufEGt+KvhZpvgrR734cxXPgyCDVbGz1uxa9urjxJP4Ru7exEVza2lxdg2ifMniD/gj78W/EfwT+LWgX3iv4G3fxXP/AAUD8fftnfBez8U2PiDxz8Hde8OeKrfRbBfhv8bNC1jwfZyta61Y2NwniK20nQfFllALe2tbO6v4NQvXt+rFKlGeLp0pN0VicRCliKalOtHBYXjPK8DRrYeklaticZwvisyzGpHkftKOEp1MLSw+JwqoZhy0HUdLC1KiXt5UMJOph5uMKLxWJ4e4mqYijXqSbdLD4XO8BkEFJTSp1cx9niKlbC4ic8B758Mf+Cyvwn8RfAf9pf4rfE/wFaeBfGv7L1r4UvvGPw4+G/xj+G/7RGh+KbP4i3EOm/DqTwD8W/htdf8ACFeJZNZ124h0HxJHbbV8Eakxh1mV3jmSP5nu/wBsP9rj4mf8FBf+Cfvh34ufA74xfsbaF4v8E/tF+I9V+FcXxytfGXgn4ueGJfg5qGt+EtZ19fCUOgWMfjHwjrOnXxvfB3jzwaniDwJcy+H9UKrdau9pp/sGjf8ABKj4g/EP9mH9qf4XfG+b9kj4U/ET4/yeDj4L0v8AZA/Z98IfD34W/ChPhtqtr4l8Mq2vp4K8JfFf4hQeJPEdol14ktfHWsa1/wAI9azXUPhG5ge5karPg/8AYs/4KN+Pf2oP2Sfj9+1X8T/2U9Y0r9mvwp8WfBT+Hfg+fipY32qW3jf4W3fg+z8bXF34r8Km31/xl4l129t28X2caeDPDeg6T4fs7zw1Z313rN/pdlz143lUlGCdang1KNNSUsFzVuCuNqNWdGUJ81XMZcQ4rJMLWwVadTCUY1qVbDVIqLxeA0Tf1WvBSly1VmFJT5bY1zhnfCc8DBxlFKngpZfRz2vDF040cU/Y06VWycYZh9Ef8E8fjlrnir/gnZ8NvjJ4c8FftGfHHWrm+8eR2fgzxd8Zfh58XPj34m+zfGfxP4YuBc/Ff4q3f7OngHWYtFtI59WtYtevfCX9leENKj8PaW/iDWrLTrfWfrH+z7T/AKDml/8AfnWv/lPXlv8AwTo/Zq8dfsifsg/C/wCAHxJ1bwnrfjLwTeeP7jVdT8D32sal4ZuE8VfEbxX4v04afea9oPhrVZWh03XbSC9Fzo1oI76O5iga4t0iuZu+rvzCVGWNxEqElOi5UuSUdYtLC4FSs+WG1SNaL9yOsZb25p40FNRq86abxeYyjfrSlmmaTw8lq9J4aeGnHa8ZxfLC/s6f8fv/AAdmW8UH/DAnlX1re7/+GqN32ZL1PL2/8M443/bLO0zvydvl+ZjY2/Zld38dNf2Gf8HYf/Ng/wD3dN/77lX8edfrXCn/ACIMB/3M/wDqXXPyvib/AJHeN/7l/wD1Fon+xZ/Z9p/0HNL/AO/Otf8Ayno/s+0/6Dml/wDfnWv/AJT1l0V+Mn60dNo9japq+lOusabKy6lYssUcWrh5CtzERGhl0qOMO5G1TJJGgJG91XLDN/s+0/6Dml/9+da/+U9Gh/8AIa0f/sKaf/6Vw1l0Aan9n2n/AEHNL/7861/8p6P7PtP+g5pf/fnWv/lPWXRQBqf2faf9BzS/+/Otf/KetLVbG1a5iLaxpsZGm6Ou14tXJITSLFFkHl6VIuyVVEsYLBwjqJUjkDxrzNamsf8AH3D/ANgvQ/8A0y6fQAf2faf9BzS/+/Otf/Kej+z7T/oOaX/351r/AOU9ZdFAGp/Z9p/0HNL/AO/Otf8AynrSlsbU6RYp/bGmhV1LVWEpi1fY5a20cNGoGlGQPGEVnLxqhEsflvIwlWPma1Jv+QLp/wD2FNY/9JNDoAP7PtP+g5pf/fnWv/lPR/Z9p/0HNL/7861/8p6y6KANT+z7T/oOaX/351r/AOU9Y/gDWLfxX4f8Sambiw0/7PrPjXwu0Bk1S6+TwV8TrzwguqPKNGg2xav/AMI+moR2sccs9l/aMVpKZfs81zUlZngHxJ/wlXh/xPqf2L7B9l1Txj4b8j7R9q8z/hDfidceEPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zYTlbEUIe15eeniX7Hkv7Xkjh3z+0+x7Dnvy3/ee2tr7PT0aFHnyzMq/1P2vsMTlEPr31jk+pfWauax9h9Wv/ALR/aP1fk9pZ/VPqHNdfWden/s+0/wCg5pf/AH51r/5T0f2faf8AQc0v/vzrX/ynrLorc841P7PtP+g5pf8A351r/wCU9H9n2n/Qc0v/AL861/8AKesuigDptYsbV9X1V21jTYmbUr5miki1cvGWuZSY3MWlSRl0J2sY5JEJB2Oy4Y5v9n2n/Qc0v/vzrX/yno1z/kNax/2FNQ/9K5qy6ANT+z7T/oOaX/351r/5T0f2faf9BzS/+/Otf/KesuigDpr6xtWttHB1jTUCabKqs0WrkSg6vqr+ZHs0pmCBmaIiVY33xuQhjMckmb/Z9p/0HNL/AO/Otf8Ayno1D/j00P8A7Bc3/p61isugDU/s+0/6Dml/9+da/wDlPR/Z9p/0HNL/AO/Otf8AynrLooA6aKxtRpF8n9saaVbUtKYyiLV9iFbbWAsbA6UJC8gdmQpGyARSeY8bGJZDR7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWGbD/wAgXUP+wpo//pJrlGh/8hrR/wDsKaf/AOlcNAH0ZRRRQB886l4d1f8A4Tm/1/8A4TzxX/ZP226/4oj7H4H/AOEX/wCPWSy/4+/+EM/4TT/j5/4m/wDyN/8AyEf3X/IJ/wCJZVL/AIR3V/8AhKP7f/4TzxX/AGT/ANCR9j8D/wDCL/8AIO+xf8ff/CGf8Jp/x8/8Tf8A5G//AJCP7r/kE/8AEsr3yXQtKmkkmktd0krvJI3n3I3O7FmbCzBRliThQAOgAHFM/wCEe0f/AJ8//Ji6/wDj9YfV6Xap/G+sfx8T/F7/AO8/B/04/wB3/wCoc9H+1cb/ADYb/cP7M/5FuUf7n/L/AMin/eP+pj/yNf8Aqan5Ef8ABQT4cL4y+I/wuu734KeOvir47k+HGg6R+x5438HfB7xp8Qrf9n/9pWH4r+EtV1v4h6t8SfDelaroH7OrXXheLwnfN8UvG194H0S78I+C/HXhIeKtUbWpfBuvVP2+vClh8U/iX4E1pfgb8Uvib41j8N3Pg79kDxnpX7PvxT1uX4A/tQ+F/jxolr4r+JN/44PhcWH7P2l6loukeG9V0T44+LZPBngfxn8N/B/iq28MeO/Ffh/xfYaD4q/ZmKNIY44Y12xxIkca5J2oihVXLEscKAMsST1JJ5p9aYeCw/1az5vq2cxzmGih++jJtwhy39lUqRly1sXTtiKrhSnO7pqK8zExWJ+uX9365lEconZKXLSS+O0v4kbqLhhpv2EFLEqN/rVRx/mg8F/svXr6/wDty6VqX7Lfgv42/DI+B/iJqOq/DP4v/wDBN2++HVz8af2qfEnxpm1z4M+LPjf4s+IviP4u+Bf2/PiN8ObCPxDqd/8AtNfCPw/pnw80/wAM+LEaWeDVdRubLw59Cx/so+AfgZ+09+z/APDL4W/s9+K4vG/wq1L9mrRP2dfjp4T+BevWngr4X/sq+BfDHiiw/aF8D6t8ePDnhyD4UfDeXxpqknj6/wDF3wku9X8J6h8VNd+JHgi+0fwN4oOkwax4X/dqilhqaw1PLKSblHLaOXUE4r2M8RSy3A1cHQhUnRlCcVH2ihCalOvRy2WJyanXWBxMnFYqH1p5i5u39oVsdX1XtFh6uYYjC1a8qXtOa/PTwsOeN4Up46GGzV0ljMLTR8XfsRfCy/8Ag94P+Nfg67h+IrWZ/ae+NGuaHq/xS1/xn4t8W+KNG17VtP1K38TTeK/Hl7qWveIdO1a5mvH0q9S+m0W2so4tJ8PRWOh6bYadZ/aNFFaR92lhqWjWGwWAwUWlGPNDAYLDYGnLkgowg5UsLTbhCKp07KFNckIt01epiKnXEYzHYyS7Tx+NxWOqRT3ajVxdRKT96S96SUpOMSiiigYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfL9fUFfL9AH5B/8FX/+CSn/AA9DsvgXef8AC/8A/hR3/Ch7r4j23l/8Kq/4WZ/wlX/C1ovA8u/f/wALI+H/APYf9g/8Kz27dusf2p/bed2nf2bi/wDxv/4hPP8Aq/j/AM1Z/wDyjaP+DsP/AJsH/wC7pv8A33Kv5tv+CeH/ACf/APsNf9nh/szf+rq8E1+jZLQzdZHSxGFzj6tQhSxlWGG+oYety+xniZyj7ao+d+0nSk7tPl57JNRSfwWb1srecVaGJyr6xWnVwtOeI+u16XN7WGHhF+yguVckaiVk1zcl205O3+qrRRRX5yfempof/Ia0f/sKaf8A+lcNZdamh/8AIa0f/sKaf/6Vw1l0AFFFFABWprH/AB9w/wDYL0P/ANMun1l1qax/x9w/9gvQ/wD0y6fQBl0UUUAFak3/ACBdP/7Cmsf+kmh1l1qTf8gXT/8AsKax/wCkmh0AZdFFFABWZ4B8Sf8ACVeH/E+p/YvsH2XVPGPhvyPtH2rzP+EN+J1x4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TNp1meAfEn/CVeH/E+p/YvsH2XVPGPhvyPtH2rzP+EN+J1x4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TNhOVsRQh7Xl56eJfseS/teSOHfP7T7HsOe/Lf957a2vs9PRoUefLMyr/U/a+wxOUQ+vfWOT6l9Zq5rH2H1a/8AtH9o/V+T2ln9U+oc119Z106KKK3POCiiigDU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmrLoAKKKKANTUP+PTQ/+wXN/wCnrWKy61NQ/wCPTQ/+wXN/6etYrLoAKKKKANSH/kC6h/2FNH/9JNco0P8A5DWj/wDYU0//ANK4aIf+QLqH/YU0f/0k1yjQ/wDkNaP/ANhTT/8A0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD4s/aE/4KIfsbfsqeM5fh78f/jVp/w68ZR+DdP8fpod74R+IWtXF54W1TX5PDNjeaXP4Y8Ja3Zavfy6tBdK+gaXc3niG30+yv8AW7nSodEsLzUYMDwT/wAFPf2CviP8SPhn8I/Av7S3gfxT8QPi9pemar4D0TR7PxTdQX51i0vb3TtC1vXR4fHh3wX40nSwmt28AeNtW8O+OLfU5bDR7nw9Dq2qaZZXfzT43+EPjXWf+Cxtr8Urj4X+KdV+HWnf8E//ABD4V0/4jTeCtWvvBVj47vfHmuQt4csvF76ZLoVt4tu/DuqXsTaPBqCazPouo3SG3exvJhJ+afwx/Ze+NGgfsS/8EktAHwC+K+neNfBP/BRrTfiJ8VPD8vwr8V2nibwH4VX4reNBN4u8caV/wj8OreF/DA8PWHhu7l1/xHDaab/Zo0udr77CLDY8tX1l4D617ixWJwVOq6f7p0qeP4r4m4aimqvMoPC4XJ8HnderO0JUcRCg4UMLi6OYozD/AGeGOlhvflhcJiatNT/ee1rYfg3DcUJJUuVyjWxn1jJYU4801XqUpKVTE0JYCt9+/Db/AILM/A/wr8UP2n/hz+2J8Svht8I734ZftQfET4NfB+x8M+D/AInavq/iDwN4Kv4NOh8R+Ol0QfECLTLuW6uY7eTxDeQeDfDeoTQakum2f/Eq1MWf3r+0J+37+x5+yxpXgjWfjl8dfCvhOx+JGnxax4F/smy8SfEC98TaDcWwurbxLpmlfDjRPFuqSeFbuEr9j8UyWcfh68mkitrbUpbiWOJvwXt7742/CCL/AIK2fCHUf+CeH7TfxVuf2xfj98dtK+EPxI8JfB7UdV8H68viGTXtF0K78e6nqQ0u/wBC+HPh6fxHpvjLwX490y31jw/rN3qviT+zr/S7jQr3Ul4n4rfsW/tGfs7ePf2W/GnjjRv2/wDxD4Y0r9hbwH8CdY1f/gm1rkK/F7wL8UPCF0dc1f4feMZdPtfEX2/4YXV1eEvrkEsGl3+p2Vjdacb9tHh0ybko1qkssymrNRjUnlvDqrYyUZqOJxmI4XzHMcwwlTC8rxNPMY5jgcJh6+LdOnhp4jNKeHhRoYyeEpT6K9KEcfmVOm+aMcVm7oYVSi3Tw9LM8iw2DxkMTF+weXyoZjmHLhVOpi4RyvE13Oth4Yx0f6f5P2hPgTbfB2x/aF1L4w/DbQvgVqOk6Lrlv8XfEvjLQPDHw8j0vxFqNlo2i3N94r8Q32maPpbahreo2GhQW2p3dpdf29dw6JJAmquLOuU/sPWv+gPqn/gvu/8A4zXjX/BNL4I3/wCz9+xt8Kfh9qng3x/8Ob9h4l8V3Hw8+JvxH0P4q+MfBbeMfE2q+Il0XVvF/hz4ffC/R5bp479NUvdJtfBunyaHqWpX2lXlxqV9a3OoXHqNenjaVOhiq9Gk5OnTqcqU5QnKD5KUp0pVKUpU6sqFWdXDurTfJVdD2sVHnlCn5+FqzrYenVmleak01GUFOCq1o0qypzSlT9vRhRxHsnf2Xt3TU6kYQqVP4/f+DsyxvbL/AIYE+2Wd1aeZ/wANUeX9pt5YPM2f8M479nmom/ZvXdtzt3LnGRn+a7/gnbG8v/BQL9heKJHkkk/bG/ZkjjjjUu8jv8a/BKoiIoLM7MQqqoJYkAAk1/SP/wAHYf8AzYP/AN3Tf++5V/Nt/wAE8P8Ak/8A/Ya/7PD/AGZv/V1eCa/T8h/5JeH/AGCZn+ePPzrOv+Sjn/2E5f8Algj/AFaf7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZrLor8nP006bR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAVm/2HrX/QH1T/wX3f8A8Zo0P/kNaP8A9hTT/wD0rhrLoA1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZrLooA1P7D1r/oD6p/4L7v/AOM1paro+ryXMTR6VqUijTdHjLJY3TAPFpFjFKhKxEB45EeOReqOrIwDKQOZrU1j/j7h/wCwXof/AKZdPoAP7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZrLooA1P7D1r/oD6p/4L7v/AOM1pS6Pq50ixiGlakZE1LVZHjFjdF1SS20dY3ZPK3KkjRSqjEAMY5ApJRsczWpN/wAgXT/+wprH/pJodAB/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNZdFAGp/Yetf9AfVP8AwX3f/wAZrH8AX+qeK/D/AIk1MaDf2Pk6z418KRwBLi78+fwR8TrzwhLOkotLf97e/wDCOTahJZrG72HmS2jTXP2R7mSSszwD4k/4Srw/4n1P7F9g+y6p4x8N+R9o+1eZ/wAIb8Trjwh9t83yLfb/AGj/AGH/AGh9n8tvsf2r7J5915H2mbCcrYihD2vLz08S/Y8l/a8kcO+f2n2PYc9+W/7z21tfZ6ejQo8+WZlX+p+19hicoh9e+scn1L6zVzWPsPq1/wDaP7R+r8ntLP6p9Q5rr6zr0/8AYetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNZdFbnnGp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNZdFAHTaxo+ry6vqssWlalJHJqV9JHJHY3TpIj3MrI6OsRVkZSGVlJDAggkGs3+w9a/6A+qf+C+7/wDjNGuf8hrWP+wpqH/pXNWXQBqf2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zWXRQB019o+rvbaOqaVqTNFpsscqrY3TGNzq+qyhJAIiUcxyRyBWwSkiPjayk5v9h61/wBAfVP/AAX3f/xmjUP+PTQ/+wXN/wCnrWKy6ANT+w9a/wCgPqn/AIL7v/4zR/Yetf8AQH1T/wAF93/8ZrLooA6aLR9XGkX0R0rUhI+paVIkZsboOyR22sLI6p5W5kjaWJXYAhTJGGILrk0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFZsP8AyBdQ/wCwpo//AKSa5Rof/Ia0f/sKaf8A+lcNAH0ZRRRQB+QXwr/4Ky+CIfDvxR1z9pj4feO/hB4T+HXiP9ttdO+PB8N+HofgV4/8Pfsc/GLxv4R8XaD4QFr8TvGHxVi8d+G/AGg6drPiG48a+APBXg3xfrel+NZPhxrGqWui3Ol6dynwy/4LJeBf2j/Fv7Oejfs2/CfxL480/wAf/tOav8CPjjFpPxL/AGSPizcfCrRYf2ePHfxo0PxNaeMP2f8A9rP4mfCzX31NdAttbubPwT42+JPinTfC/gr4j+G9S8B2HxFvvAWia7LpX7F37AUVx8RdN8YftjeIPiZ8M/Hg/aeudL+DPjH9oP4K6f4B+GOv/tgeMNW8ZfHHxZ8N9V+H3hTwN8U7LxFrN5rmq6d4an8VfEjxbYeBNN1DUZfB2naLrOravrF/31r8Dv2b7uw+Hz/EH/gpP8UvjB4x+Hvxni+MFr8RPiV8dv2X7zXtas3+EHiT4Gat8Jbvwr4W+E3hT4SeGPhl4l+Hvi7xFbeI5fhn8NfAXxO1XxFqlz40k+JSeL5G1tvUocO8UxoUJ1uG89qYmjgsC5UXkOeU6OIxlLLJUq8MXUp5HKKdfNoupjJYSMMLLLZ4bE4GUc2WYYaXk1+IuGZYjExocSZFTwtXGZoqVR57w/Ur0cHVlUngpUac89hDmo0J044aNecqsMxjWpY5SyZYPEU/Zf2N/wDgo78D/wBtn4g/HP4XfDjQvGPhLxx+z+PCdz418O+NvEHwP1fWU03xprHjvQdHk1LQ/g98ZPixr/wy8UWWp/DvX7Xxb8IfjtpXwm+OfgCebSLfx38L/Dd1qcMA/QCvzx/Ys/YD+Gf7J+rW/wAQfAfx7+Nnxtt9R/Z1+Cv7OvgyT4k6h8C5fCHh74FfBS+8Za58ING8Daf8EPgr8ItEW20mx+IetWia/Kmq3nibTJLC/wBbvdX1dH1m4/Q6uTEwoU3Rp0vb89OgqWL+sUpUarxdHEY+hUnKjL+BOtQo4GvWw0W4YTF1cdg6cpwwsalT0ac5VHWqXpujUqqrhXSqRrQ+rVaGHqxjCtGMfbUoVqleGGryjGpiMGsHia0Y1q9SECiiiuY1CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvl+vqCvl+gD+bv/AIOEf+Cf/wC1z+3JB+yTcfstfCX/AIWhD8KpfjvD49f/AITz4ZeCf7Bl8ep8HZPCa7fiJ4z8JPqn9qp4J8Tndoy6itj/AGZjUjZm908Xf4h/saf8ESv+Cnfwo/a//ZT+KXj/APZl/sHwJ8Nf2kvgZ4/8a67/AMLn/Z81T+xfCXg74n+F/EXiPVv7M0X4r6jrGo/2do+nXl59g0nT7/U7zyfs9hZ3V1JFA/7ef8HCP/BQD9rn9huD9km3/Za+LX/Cr4firL8d5vHqf8IH8MvG39vS+Ak+DsfhNt3xE8GeLX0v+yk8beJxt0ZtOW+/tPOpC8Nlp5tPzV/4JEf8Fd/+Ch37UH/BQ79nv4GfHP8AaE/4Tj4WeOP+Fsf8JT4W/wCFT/A/wz/an/CM/A/4l+MNE/4nfg/4aeH/ABHZfYvEfh/SNR/4l2r2n2n7J9ku/tFjcXVrN+g5Y88p8OOrh/7LeAhhcfK1b619b9mpYpVtIWpc95VPZaqNuTm6nxGYQyepn3JX/tFY2eIwUb0vq/1b2lsO6XxJ1OS0aftNL/Hy9D+26iiivz4+3NTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhrLoAKKKKACtTWP+PuH/sF6H/6ZdPrLrU1j/j7h/wCwXof/AKZdPoAy6KKKACtSb/kC6f8A9hTWP/STQ6y61Jv+QLp//YU1j/0k0OgDLooooAKzPAPiT/hKvD/ifU/sX2D7LqnjHw35H2j7V5n/AAhvxOuPCH23zfIt9v8AaP8AYf8AaH2fy2+x/avsnn3XkfaZtOszwD4k/wCEq8P+J9T+xfYPsuqeMfDfkfaPtXmf8Ib8Trjwh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbCcrYihD2vLz08S/Y8l/a8kcO+f2n2PYc9+W/7z21tfZ6ejQo8+WZlX+p+19hicoh9e+scn1L6zVzWPsPq1/9o/tH6vye0s/qn1DmuvrOunRRRW55wUUUUAamuf8AIa1j/sKah/6VzVl1qa5/yGtY/wCwpqH/AKVzVl0AFFFFAGpqH/Hpof8A2C5v/T1rFZdamof8emh/9gub/wBPWsVl0AFFFFAGpD/yBdQ/7Cmj/wDpJrlGh/8AIa0f/sKaf/6Vw0Q/8gXUP+wpo/8A6Sa5Rof/ACGtH/7Cmn/+lcNAH0ZRRRQB/GB/a0Xqn6/40f2tF6p+v+Ncf4w8TeB73U4JfAPh/wAW+GdHWxijubDxh400jxxqc2pi4ummu4NW0XwJ8PbW3sZLV7OGLTpNFuriG4t7q5fVJo7uK0sqPhrxH4atdasp/GGla/rvh2P7T/aOleGvEdh4U1q63Wk6Wn2LX9U8MeM7Gw8i+a1ubnz/AA1qX2q0hnsovsc1zHf2v+t8c3nLD/WHQxUZezlU+qyp01i7pSfseRYqdD20uVKMfrns25QvWinJw/yMllEY4n6uq+HlH2saf1uNSs8JZuK9t7R4WFf2MeZuUvqftEoztRk1FT/sV/ZvcSfs7/AWQdH+C/wtcY6YbwPoRH869or4B8eeJZNC/wCCb2leJvB+p+JvAmiQfs4/C66vfENl4nuIPGfw/wDhdeeHfCUXjzxTZeNPD2iaZd2/irwP8M7jxFr9p4r0TQdFnt9Y0iPWdNs9FkjhFnz/AOxJ468OeOPgv4+8E/C39onUvGvhHWPH3xzsf2Sfi74g+J8vx98beKvgz4bk8K6Xc/Efwj8QvidrfjPxF8fvCXw0+J/jLUPDOlfEPxVrHj3Tb20g8JaTrXiPxBp93ptxqf8AlHnlWWI4h4sUKU3Vw2aZti/YuVNVKjxGd5tL2E7zlTw9RKraE6s6lKs8LmrhJ08rxM5/6u5JGOHyHhOEqkHDFZRleH9rHnlTpxwuSZNGVdLkjUrU0qbqVI04QqUaNfAVKkIyzDD01+j1FfzieL/GvxEg8D/8E6tW8WftgXI8ReFtC+IOrWvwv+IvxU/aL+Hvxp/b5+K1h8Y/B+k+HPBPhDWvgJ8eP2XPhn458ew6N4d1pNS8G+KvD3x+8I6XY+NHlm/ZX1DwjcWktp/R3XmUXGvg6eMpzUqdSu6MUlK/K8vyjMaVRuSSUqtDNoOVBOVbCqnTWMjha2NwuGqenKXJiHhpRaqRw/t5puPuyWY5tl0qa5W+dRnlU5xrpRo1vazhh5YhYPGVqJRRRQWFFFFABRRRQAUUUUAFFFFABRWVr2r22gaHrOu3iXUlnomlajq93HYwG6vXttNs5rydLO2HNxdNFC628A5mlKRj71fw7fC3xj4T1n9p/wDYR/aP+Dmu/D7wh4z+L/7X+h6V4y1rxb+1b4u+NX7c/i7TNf8AiPq2j+Kr748+G/D+l+Dfgp8Ovhx4x8K6pa+FtD8K2Hw9svFV/bDTYrjX9f0vUdRuAYT/AGrNMNlq91V3ho1Ky950JY7F4jBYNyp6XpzxGGqqpJSlUUYv2cI8k6wYn/ZstxWYP3nQhi6lOi/dVeOAwDzHFxjU95RqQw/s404yjGEqlWm51HDmhH+56vmbVP2q/h5pP7Wnhr9ja50bxm/xO8U/By/+N+n67Bp2ht4Dh8Kaf4h1Hw1Np95qkniKPxBH4ha+0yeWK0g8L3GmtaPDI+rJMzwR/wAqGveCP2DPF2p/8Fidb/aW+J0Xhv8AaA+G37Rv7Q/ir9nTw/qPxR8QeDb7SfEk934jl0DxF8LvBVp4j0bSPiH4v8SeMdB0vRPFNq2l+Ir3TtK0HwwblNCtbm11Kb6d8FfB1v2vv22v2DPBf7XqeOvEM/i//gk54d1/4qaI3jLxb4I1jx9cHxf4sa2sfiFqvhDWdD8T6hbagbzTfEmu6XJq9lNqPiGwsptdSYxXthNGBc8b/ZE4xiljcLgsbWpOUvq7p5twdxFxBhKFHHQhJvF4DE5K/wC0MPGhz+wdBp04Yqq6OmLjDCyzOnKUv9kePo0qiilXVfLc74QwVWrPBzlG+DxmE4l5MJiJVlTeKjWTUvq9FVf6q6K/jn0D4jeCPh1+wz8SP2a/HzfEHxH8JV/4Kx/ED9nj4feCZPj7F8D/AIc2Pwy8Ow6X4h/4QT4x/GTXvDPjXVdA+CP2u5vNf8Wafow0jxDqV213qtj4n0WaG/vJOS/Zy+0eH/2Tf+Cwfwa079ob4PfCP4YaDf8AwEsNC8Sfs/8AiH9oD4vfs3eGr7xle6ro3jd/DGtLpvxT+NFz4B+J2naTYeA/G/i+K316KdzeSEXfhaxs4JFGrGrSxdejeVGlleBzPCyqWg6qxeA4KzGrhsQozkqFbDYfjfAKSoSrKpUwtanCrUqYnDUaLdKVOvQw1dxhVeb18qxap89RUVSzXiDKoYvDe4pYmlWqcPYqslUVGcadWKlTj7GpPEf2K/ELxf8A8K/8C+MPHP8Awi/jDxv/AMIh4b1jxH/wh/w90T/hJfHXij+x7Ce+/sHwf4f+02X9t+JNU8j7Ho+l/a7b7dfzQW/nxeZvC/D/AMXf8J/4F8HeOf8AhGPF/gr/AITDwxofib/hD/iBov8Awjfjrwt/bmm22pf8I/4x8P8A2m9/sTxPpH2n7Brmk/a7r+z9SgubX7RN5XmN/G3+ydr/AIa8AeBv+CkPwY0nwH4J8Mah4r/YR+M3jSW+/Zf/AGmoPjt+yxrWi+D7efw/oPia58L6v4q+LXxB8EfEnVhqmpzRz+Nvi3ZavHoOpW2m3Xwf8FyXq3Vz1H7Q3iL4SfFT4dfsZfAzxtbfD6fXfhx/wTJ+DXxG0W9/ax/aX8VfBL9ljw3qWq6Jock2reE/h38LdL0b4q/F347a7oOm3fh3RINN+JNjoMdssMNz4Q1p9HvGasRJYejUrJOspQyyvSTvSlGjPLOMMwzNRjyqVSVCPDUf49OjKnKcqXs6kqVWjjM8OniHQjK1BvEZhh6juqsZSX+qkMs5pJuEI4ipxBVtOhOrCcaHO506VbD1MN/ZXXy/XxT/AMEo9Ju/jz/wSm/Z98OfFDxj4+1eLVdG8TaJL4g8GfFX4j/Dbx1Y6F4J+L3iW38JaLpvxM+F/ijwZ8Q9ATQtK8PaN4dlt9E8T2H2jw/ZS+FtQa80C6vdOufur+2Lv/njpf8A4I9F/wDlfXZjsN9TxmJwvP7RUKrpqpy8jnFwo1IycbyUZOFeClFSlFTjNRlKPJJ8uExH1rDUq/JyOftFKHNzKMqVbEUJ8suWLlBzw85QcoQk4ShzwhPmiv43/wDg7D/5sH/7um/99yr8ef8AggX/AMpaP2T/APuuv/rNXxkr9kP+Dsy8lu/+GBPNS1Ty/wDhqjb9msbKyzv/AOGcc7/sdvB5mNo2+Zv2ZbZt3tn8dP8AggLM9v8A8Fbf2TZoxEzp/wAL3wJoILmI7v2aPjKp3Q3EcsL8MSu+NtrYdcOqsP0vK/8Akiqv/YvzX/0vFHwWYf8AJV0/+w3Lv/SMMf6RtFan9sXf/PHS/wDwR6L/APK+j+2Lv/njpf8A4I9F/wDlfX5UfowaH/yGtH/7Cmn/APpXDWXXTaPqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAIzf7Yu/wDnjpf/AII9F/8AlfQBl0Vqf2xd/wDPHS//AAR6L/8AK+j+2Lv/AJ46X/4I9F/+V9AGXWprH/H3D/2C9D/9Mun0f2xd/wDPHS//AAR6L/8AK+tLVdVuo7mJVi00g6bo7/Po+kSHMmkWMjANJYswQMxEcYISJAsUSpGiIoBzNFan9sXf/PHS/wDwR6L/APK+j+2Lv/njpf8A4I9F/wDlfQBl1qTf8gXT/wDsKax/6SaHR/bF3/zx0v8A8Eei/wDyvrSl1W6GkWMnlabubUtVQg6PpBQCO20dlKxGxMaOTI2+REV5AI1kZliiCAHM0Vqf2xd/88dL/wDBHov/AMr6P7Yu/wDnjpf/AII9F/8AlfQBl1meAfEn/CVeH/E+p/YvsH2XVPGPhvyPtH2rzP8AhDfidceEPtvm+Rb7f7R/sP8AtD7P5bfY/tX2Tz7ryPtM3T/2xd/88dL/APBHov8A8r6yfAfji68WaB4j1U6dptgbHVvGXh5YF0/SJxIfB3xLu/Bn2yR00q1V01FdGbURZyxSpZPcpCJbmS0jvHwnK2IoQ9ry89PEv2PJf2vJHDvn9p9j2HPflv8AvPbW19np6NCjz5ZmVf6n7X2GJyiH176xyfUvrNXNY+w+rX/2j+0fq/J7Sz+qfUOa6+s6uorU/ti7/wCeOl/+CPRf/lfR/bF3/wA8dL/8Eei//K+tzzjLorU/ti7/AOeOl/8Agj0X/wCV9H9sXf8Azx0v/wAEei//ACvoANc/5DWsf9hTUP8A0rmrLrptY1W6j1fVY1i00rHqV8imTR9IlchbmVQXllsXkkcgfNJI7O5yzszEk5v9sXf/ADx0v/wR6L/8r6AMuitT+2Lv/njpf/gj0X/5X0f2xd/88dL/APBHov8A8r6ADUP+PTQ/+wXN/wCnrWKy66a+1W6W20dhFppMmmyu27R9IcAjV9VjxGr2LLEm2NSY4giFy8pUySSO2b/bF3/zx0v/AMEei/8AyvoAy6K1P7Yu/wDnjpf/AII9F/8AlfR/bF3/AM8dL/8ABHov/wAr6ACH/kC6h/2FNH/9JNco0P8A5DWj/wDYU0//ANK4a0otVujpF9J5Wm7l1LSkAGj6QEIkttYZi0QsRG7gxrskdGeMGRY2VZZQ5o+q3Umr6VG0WmhZNSsUYx6PpETgNcxKSksVikkbgH5ZI3V0OGRlYAgA96ooooA/gG/ts/3x+Ro/ts/3x+RryL+3F/vfof8AGj+3F/vfof8AGv8AT7+0F3X/AIF/wT/L7+zv7sfu/wCCf3r/ALJ7+b+yz+zTJ18z4AfBt8+u/wCHXhxv617/AF86fsfv5v7JX7Lkv/PT9nT4JP8A99/DTwy39a+i6/zVzx3zzO33zrOX9+b5s/1P9LcjXLkeSR/lyXJl92T5Sv0CiiivLPUCiiigAooooAKKKKACiiigAooooAK8Csv2Uv2XNNvL3UdO/Zs+AWn6hqXjDRviFqN9ZfB34d2t5f8Aj7w5catd+HvHF7cweHY5rrxhoV1r+u3OjeJZ3k1rS7jWtWmsb2CTUbxpvfaKF7s1Uj7tRJJVI+7NJVIVklOPLNJVaVKqkppKrSp1UlVp06lMfvRcHrBttwesG3CpSbcHeDbpVatNtwbdOrVptunVqU6n50/A/wD4JwfB/wCHPjP9oTxj8VdK+G37Qlx8Z/2lPGH7R3hGD4g/BrwvezfCDVfFs8E8uj+HL7xHqPjJ7jULV7OyaTxTpkPhe5vHsrV20uAwQ7PuOf4cfDy58eWfxTufAfgy4+J2neHpfCOn/Eefwvocvjyw8KT3c1/N4Ys/F8li3iC18PTX1xPey6LBqKabJdzzXL2xmkd27OiiC9nSwtCn7lLBYehhcLGPu+ypYbBxy+laStJ1fqUI4WrXk3iK9FezxFatBum3NupUxFafvVMVVq1a8pa+0lWrwxU4tO6VL6zThXhQSVCnWiqtKjTqfvDxa9/Zt/Z21Lwt4m8Daj8A/gtf+CfGvi2fx/4y8HXvws8DXXhbxb47upIJrrxr4m8PT6FJpOveLbmW1tpZ/Emq2l3rM0lvA8l6zRRldHQfgL8DPCsXiSDwx8GPhP4cg8Y+FdF8C+LodB+HXg/R4vFXgnw5of8AwjPh7wd4kj0/R7dNc8K6D4b/AOKe0Xw9qa3WkaXof/EpsbOCw/0evWKKXLHllDljyTpqlOFlyTpRw8MJGlONuWdKOEp08LGnKMqccLTp4WNOOGp08PA5pcynzS5o1HVjLmfNGrKusVKrGV+aNWWJSxMqqkqjxKWJdR4hKuvEfCH7M37N/wAPvD3jDwl4C/Z9+CPgjwp8Q7AaV4/8MeEPhR4D8NeHvHOlrbXtmum+MNF0bQLLTfE1gLPUtRtRZ61bXtuLa/vYBH5V1OslnUv2cv2etZufh3eax8CPg1qt58ILXS7H4TXWpfC/wRfXPwvstDls7jRbP4dz3Whyy+CbXR59O0+bS7fw0+mQ6fLY2clokL2sDJ7LRVNuTTk3Jr2bTk3Jp0adalRacm2nRpYnE0qLTTpUsRiKVJ0qWIr0682XLKNlyyVVSjZcslX9mq6lG3LJV/ZUvbKUZKt7Kl7ZVfZUvZ8h4G+H3gL4YeHLXwd8NPBHhD4eeEbGe9urLwt4G8NaN4S8OWdzqV3Nf6jcWuh6BZafplvPf31xPe3s0Nqkl1dzzXM7STSO7eHV9QV8v0NuTvJuTsldtt2jGMYq7bdoxjGMVeyjGMUlGMYxfVvrKUpyfWU5znUnKT3cp1Kk6k5NuU5znOcpznOc/wCPP/g7D/5sH/7um/8Afcq/Hn/ggX/ylo/ZP/7rr/6zV8ZK/sU/4Kw/8FbP+HXdl8CrP/hn/wD4Xl/wvi6+JFz5n/C1v+FZ/wDCK/8ACqYvA0WzZ/wrb4g/25/b3/Czd27do/8AZf8AYmNuo/2lmw8T/wCCW/8AwW8/4eU/tAeMPgX/AMMx/wDCl/8AhFPg74g+LP8AwlP/AAuj/hY32/8AsLxr8PvB/wDYH9if8Kn8CfZftX/Cd/2j/av9r3Pkf2V9k/s2b7d9qs/vMHj8wo8L1KMcq9pgvqmNpvHfXaMLRrVasJ1Pqzi6j9nOry8t7z5bppO6+MxWDwNXiKFSWZcmL+s4Sawf1SrK8qVOnOMPbqSpr2kKfNzWtG9mm1r+9VFFFfBH2ZqaH/yGtH/7Cmn/APpXDWXWpof/ACGtH/7Cmn/+lcNZdABRRRQAVqax/wAfcP8A2C9D/wDTLp9Zdamsf8fcP/YL0P8A9Mun0AZdFFFABWpN/wAgXT/+wprH/pJodZdak3/IF0//ALCmsf8ApJodAGXRRRQAVmeAfEn/AAlXh/xPqf2L7B9l1Txj4b8j7R9q8z/hDfidceEPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zadZngHxJ/wlXh/xPqf2L7B9l1Txj4b8j7R9q8z/hDfidceEPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zYTlbEUIe15eeniX7Hkv7Xkjh3z+0+x7Dnvy3/ee2tr7PT0aFHnyzMq/1P2vsMTlEPr31jk+pfWauax9h9Wv/ALR/aP1fk9pZ/VPqHNdfWddOiiitzzgooooA1Nc/5DWsf9hTUP8A0rmrLrU1z/kNax/2FNQ/9K5qy6ACiiigDU1D/j00P/sFzf8Ap61isutTUP8Aj00P/sFzf+nrWKy6ACiiigDUh/5Auof9hTR//STXKND/AOQ1o/8A2FNP/wDSuGiH/kC6h/2FNH/9JNco0P8A5DWj/wDYU0//ANK4aAPoyiiigD/OE8f3nw103WbaD4WeMPHPjLw++mQy3mp+P/h9oHw11mDWWur1LiwttC8O/FH4sWV3pkVlHp9xDq0viKyup7q6vbN9FtobCC+1HM8H6j4OvfEenWvj/wAQ+JvDPhGX7X/a2t+D/Cml+OfEdlssbqSw/s7wtrXjb4eaZqn2nU0srS7+0+MNH+xWNxdajD/aFxaRaXe/P39tH++P++h/hR/bR/vj/vof4V/oKsS1Q9j7fESl7Nw+sSlTeJu1L95zrDxpe1je8X9W5E4xvSlZqX8APB03W9t9Xw8Y86n9Xiqiw9k1+75HXlV9nK1pL6zztSlarG6cf9Amx8aX3w6/4JqfCzxN8KvFOpaZLa/s0fAXR/B3xF1zw54astW8LaT4n8MeBPCtp8Uda8JatrfibwhZ33gvRdZbx3qnh7Ute8UeHLabR7jTrq+8R6bG733bfsx+KPi/rvwu+OHgvUvihB8XfiJ8Hfi78VfhB4J+M3xF8OeFLC48bT6Bpukat4c1f4naD8G9E+HHgm71PwtrPiSTwT4zh+HHhvwDZapJ4QvRBpPhvW575LbX/Y+0PQfGH7B37LfhrxToukeJvDPij9kf4I6J4i8O6/ptlrOg6/oetfBzwxY6to2taRqMNzp+q6Tqlhc3FlqOnX1vPZ3tpPNbXMMsMro3tfgD4J/Bn4UaR4N8P/C34SfDH4a6D8OvD+veE/h9ongDwF4V8G6R4F8LeKtW0zXvE/hrwbpvh3SdOs/DHh/xHrmi6NrWvaNokNjp2satpOmajqFtcXlhazRfwNmcLZxxGqtSpOnisZjqFNxnKNanOGZ49yrqpaKo1bwqNVMLGlOo8xxUqqUsFl0af94Za75Xw5KlGFN4XA4OrVhy81KrGeWZd7KlKDk/aUlenSnTryqRp0sHRdFupi8bOX47X37S37VE3wV+EvxD1f8AaHHhzxr8LvgZF8afHdh4c+Gnwk0rwV+1f4xf9oOL4V3/AMPdX8PeMNI8ceNPBPgqLT7C30bStM+Evi7wv46sfEnxQ8FNefEfxVcacdH8Q/uvXjet/s6/s++Jb34Yal4j+BXwb1/Ufglr114p+DGoa38MfBOq3vwi8T308d1e+I/hhdX2hzz+AdevLmGG4utX8KSaTqFxPFHNLcPJGrD2SuKjzQwqpVeWdd1aVSVSEeWHuZbl+Fr8ik3OKxWMw9fGOhzOjhkqEKHvYjHOfZKN8TKrCUlR9g6UaUpSlJP69jsRTcnpGTo4avRw6q2VWu51/bfu8NgIwKKKKZYUUUUAFFFFABRRRQAUUUUAFFFFABRRX8zX7Yf/AAUH/bm1P9rb9ob4Sfsrw/H+w8M/sz/8IvoWmaH8Af2LfDv7U2nfEvxrrHhtfEd3Z/HDxf4j8UaPrfwi8P3Oqxf8I7od74D0XWtSutDHiDVksbzUtKsftWUq0Y16NBqbnWhiKzcISqeyw+Ejh5YmvOME5zjS+t4aKp0k61WdVRppcsmaKlKVGtWTgo0p4eklOcaftK+LqVKWHoxlNqEXUdGtKVSo1So0qVSrUbjHlf8ATLRX8/8A4l/aW/b9+Pf7W37M3wD+GXxOi/Y1l+M37COl/G/4oeGfHfwJ8PePPEHwx+JEPizxJYeI5tF8LeN7XR/Eja2t5pWm+HLHRvF/iK30Ky8OXF9q994fuPEkdsreP6L/AMFG/wBs7/hkKbwXc+NvAl9+1PqX/BRe/wD+CfWjftB6l4M0rT/DdhHI1tej4qav4L07RD4Pi1TTpLxtJsLA+Hv7Hk0uO31G+0TVNTs71NT6I06k37OEVUrzryw+GoU6lKbxko8U/wCp8p4eup/VvZf2vKk41K9aip4KqsVGDVOtRjjKcI04VpycMO6FPEV604VIrBwrcO4/iiEcRScfb+1eWZZjr06NKty4mjChKVsThqs/6Fde+NPwc8LeINe8J+J/iz8NPDnirwt4JuviX4n8M69478LaR4g8OfDmxm+zXvj/AF7RtQ1W31HSPBNncf6PdeKtQtrfQreb91NfpJ8tP8P/ABj+EPizXNJ8MeFfip8N/EviXX/A1l8UNC8PeH/HHhjWdc1r4aanPDa6d8RNJ0nTtUub/UvA2oXNxb29l4ts7ebQLueeGKDUJJJUVv5evjP4J+PPw+/a7/bp8M/tEfGjQf2gfG1n/wAEbPjLJp3xU0f4e6L8KtQ8QeGbrxjbXVlD4o8B+G9T1Pw9o2uaPqU2r6PBLokkFnqnh2x0HUrmD+2LnVJZeq8Fa58SvEg8EfCTwH4s8H/DieX/AIID+AvGlp49HwX+Fvi7x1ZzafqXhhNc0Q+MtY8P2/jy68NeIfDNvqeg/wDCLTeMv+EU0nUNVXxbZ6A/iHTrW5PLUrKGXV8bFwqyo5Zj8wUYOpGlL6llniBmE1OdSCqwp0o8GUXX/dTrOFbMYYeNStSy54jp9g3jI4X3qanjMHheeooynFYx8CwhPkpTcZudTi+pGlFVaaSpYKdeVNSx6o/0p/DP43/Bb40xa1cfBz4vfC/4sweG7m2s/EU3wz8f+FPHcWgXl6tw9na61J4W1bVU0u5u0tLp7aC+aCWdba4aJHEMhXy+vzj/AOCPfwM+JvgP/gnH4U8QfDf4ifB/R/iH8abfR/HPhXxH4h/Zq0afRvB+kWt/baXceHfiFpnwy+IXwi8X/HPVfsGneIjpXjfxP8RdD8QaXda/YLP/AGno3h9dE1T9MPO0X/oH6p/4OLT/AOUdeljcMsJiZ4ZTc50YUY1m0o8uIdClUrwSTdo06lVQjeU3ZNupU+I8/CYj61RWIUOSnVqVnQXNzOWGVapDDzlK0bznTpuU2oU48yfLSpxcYv8Ajb/4Ox/+bBf+7p//AH3Kvjv/AINb/wDlIB8YP+zO/iB/6ur9nyvs7/g7Qeyf/hgL7Hb3UGP+GqfM+03kV3vz/wAM4bNnlWNl5e3Dbt3mb8rjZtO/44/4NZmtV/4KB/GE3cNxPH/wxx8QQqW9zHauH/4XX+z3hjJLa3ilAoYFBEpJKsJAFKt97hv+SHq/9gmL/wDU5HxOI/5LGl/2E4X/ANQ2f3m0Vqedov8A0D9U/wDBxaf/ACjo87Rf+gfqn/g4tP8A5R1+bn34aH/yGtH/AOwpp/8A6Vw1l102jy6QdX0oRWOpJIdSsRG8mq2siK5uYtjPGujxNIitgsiyxlgCokQncM3ztF/6B+qf+Di0/wDlHQBl0Vqedov/AED9U/8ABxaf/KOjztF/6B+qf+Di0/8AlHQBl1qax/x9w/8AYL0P/wBMun0edov/AED9U/8ABxaf/KOtLVZdIFzF5ljqTN/ZujkFNVtYwEOkWJiUq2jyEukZRJH3ASOrSLHErCJADmaK1PO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjoAy61Jv+QLp//YU1j/0k0OjztF/6B+qf+Di0/wDlHWlLLpH9kWJNjqRjOpaqEQarah1cW2j+YzSf2OVZGUxBEESGMpIzSSCRViAOZorU87Rf+gfqn/g4tP8A5R0edov/AED9U/8ABxaf/KOgDLrM8A+JP+Eq8P8AifU/sX2D7LqnjHw35H2j7V5n/CG/E648IfbfN8i32/2j/Yf9ofZ/Lb7H9q+yefdeR9pm6fztF/6B+qf+Di0/+UdZPgPxTpHivQPEeqJoupaetpq3jLw5LbtrtreGZPB3xLu/B4u45hoFoIX1GTRI9TMLQzi0S4ew8y5ZFvmwnK2IoQ9ry89PEv2PJf2vJHDvn9p9j2HPflv+89tbX2eno0KPPlmZV/qftfYYnKIfXvrHJ9S+s1c1j7D6tf8A2j+0fq/J7Sz+qfUOa6+s6uorU87Rf+gfqn/g4tP/AJR0edov/QP1T/wcWn/yjrc84y6K1PO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjoANc/wCQ1rH/AGFNQ/8ASuasuum1iXSBq+qiWx1J5BqV8JHj1W1jRnFzLvZI20eVo0ZslUaWQqCFMjkbjm+dov8A0D9U/wDBxaf/ACjoAy6K1PO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjoANQ/wCPTQ/+wXN/6etYrLrpr6XSBbaPvsdSZTpspiC6raqUT+19VBWRjo7iRzIJHDqsQCMkfllo2lkzfO0X/oH6p/4OLT/5R0AZdFannaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdABD/AMgXUP8AsKaP/wCkmuUaH/yGtH/7Cmn/APpXDWlFLpH9kXxFjqQjGpaUHQ6ral2c22seWyyf2OFVFUSh0MTmQvGyyRiNllNHl0g6vpQisdSSQ6lYiN5NVtZEVzcxbGeNdHiaRFbBZFljLAFRIhO4AHvVFFFAH+Uz/a5/v/8Ajzf/ABNH9rn+/wD+PN/8TWb8TvA3iX4R6/aeG/FWr/DnVtRvdIt9chuPhj8YvhD8bdASyub3ULCOC78VfBnxx4+8L6fq6z6bcSXHh+/1i21+0spNP1K602HTtW0u6vMjwHoOs/EfxXpXgzw/qHhDTtX1n7d9kvPHnxB8AfCzwpD/AGdpt5qtx/avjz4neJfCHgfQvMtbGeKx/tzxFp39qak9no2m/a9X1HT7G5/tZZlB0vbKrB0uRz9oubk5Fe8r8qdlZ39y+j919f4zeV1lU9i6M1V5lD2biubndrRtzNXd19u2q95dP9OL9g9/M/Yd/Y0k67/2Uv2d3z67vhD4Pb+tfVtfA/wT8b337PP/AATW/Z18T3WlaH4y8S+BP2T/ANnfQNK8P6L478M3Phnxj49vPh54E8G+FPD+l/E3w7P4r8IT+H/FHjPUdJ0m08d+HpvFOgSaZqCeINFHiCxNql5v6H+1j4sT9nj4sfEzx58JtC8NfGX4N+Mtd+FHif4R+Hfim3inwNq/xaXUdA03wHoXhP4y6z8P/A99f+EPH8vjbwFLbeLdc+FPhvWdBTxDdwan4IbUNGlsrv8AjPMqsamZZzKHNUdDG4qtOMISlOcMVmtalR9jG0XXnKrjsDBwptSg8dg+dxVe9D+wcvg6WX5PCpam62Aw9ODm1GEXg8ro1cRKrP3lRhTpYLHTc53jJYHGcqk8O1W+2aK/IfX/APgpl8RPC3jb4OfCjxH+zv4P0f4ma58RfiX4J/aJaL4l/tC+NfhL8C9H+GniP4V6dc+ONJ+Lfwm/Yj+I9lqfhXxL4b+LOieKdC8U/tE+Hf2SPh9p507VtC8Z+O/CeoWxev14rnjHnoQxMHGeHq1KlOlWhJShVdOnQqudN2TlRlDEU3SrOEIVeWsqcZewrSj086VR0XeNWNNVJ0pRcalJOvicM4Vott0q0auErKdGTc4w9lUf7vEUJVCiiipKCiiigAooooAKKKKACiiigAooooAK/NX9o3/gln8Av2kPip4q+LWpfED9oX4Ta18TPDmkeEvjVoHwN+KS+AvB3x18O6HGtnY6V8WdDl8Pa23iK0GjoNBnhsrzSI59M5kU6gFvx+lVFQ6cJTpVJQjKdFzdOUoqXL7SCp1IuMrwqUqsIxhWoVoVsPXhGEa+HrKEFClOahUpxlKMKsYxqKMnG/JJzpyUotThUpzbnSq0p0q1GblKjWpSlJy+QtC/Yl+C/hX9of4Z/tHeFT4o8N+IPhH+z5bfsz+B/Amk3+jR/DbTPhpY6lc6jpyNpVxoFz4lk1rTxc/YbW8XxZHZGxggWfTZ7oS3UviWof8ABKr9mPWfgp8a/gXrt/8AE7WPDnxs/aC8SftO3fiO58S6DaeN/h38XfEaWcY1z4Za1pHhLTbPRYNEitZINHt9e0rxNIbbUNRtNYudXtbowp+lVFXK81LmlKTkq15Oc/aXxGdQ4irTVVTjWjVqZ9Thm7rQrQrxx0VXp1qWtNzG0VGMVFRg8O4wUIezX1XLMTkuHj7NwdNwpZTjMXlypypzpSwmJrUqtOt7SU3+U/g//gkP8BvC2vfFnxdqvxo/ar+JXjX43fs9eMP2bviL43+LPxY0T4g+Ldb8H+Mr6znufEP9ua54Elu4PF+i6ZpmjeG/D0iMfCljoej2SXHhO91OS/1S99d8Jf8ABOb4JeDfEujeKdL8U/FSfUNE/YutP2FrSG/1vwlLZyfCSyNuYvEVxHb+B7Wd/iM32ZPM1eO4h8MnL7fCKZG377opVEqtOdGcYypVMPWwk6fLGMJYXEYTNsDXocsI04qnVwee5zh5RiofusyxSUoynGpScZShNVIykqka1Kup3bkq1GpldalUvJzfNTqZJlE4XuovLsKlHlpyhU8Y/Z4+BnhL9mj4KfDr4EeBNR8Rat4Q+GWgJ4d0HUfFt3pl/wCJLuyS7urwS6veaPpGg6ZPdebdyKXs9HsIfLVAIAwZm4avqCvl+tatWpXqTrVpyqVaknOpOVnKcmopydlFXtCC0S0itO+dOnTo04UqUFTp04qMIRvyxinJpK7btecnq38T17fx3/8AB2P/AM2C/wDd0/8A77lXx3/wa3/8pAPjB/2Z38QP/V1fs+V/St/wVh/4dGfYvgV/w9L/AOPz7V8SP+FCf8nNf8e3leBv+Fsf8m7fuv8AW/8ACsf+Rz/ef9C38v8AwkFeJ/8ABLf/AIcdf8NAeMP+HaH/ACXb/hTviD/hLP8Ak7z/AJJJ/wAJr8Pv7e/5L9/xR3/I4/8ACB/8g3/ipv8Anz/4lf8AbNfZUMy5eFamB+o5jK+HxEPrccNfBLnxaqczr8+kY/BN8uk/d8z5OtgObiWnjPruAjavQl9VliLYt8uGcOVUeXWUvjiubWHveR+9VFFFfEn15qaH/wAhrR/+wpp//pXDWXWpof8AyGtH/wCwpp//AKVw1l0AFFFFABWprH/H3D/2C9D/APTLp9Zdamsf8fcP/YL0P/0y6fQBl0UUUAFak3/IF0//ALCmsf8ApJodZdak3/IF0/8A7Cmsf+kmh0AZdFFFABWZ4B8Sf8JV4f8AE+p/YvsH2XVPGPhvyPtH2rzP+EN+J1x4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TNp1meAfEn/CVeH/E+p/YvsH2XVPGPhvyPtH2rzP8AhDfidceEPtvm+Rb7f7R/sP8AtD7P5bfY/tX2Tz7ryPtM2E5WxFCHteXnp4l+x5L+15I4d8/tPsew578t/wB57a2vs9PRoUefLMyr/U/a+wxOUQ+vfWOT6l9Zq5rH2H1a/wDtH9o/V+T2ln9U+oc119Z106KKK3POCiiigDU1z/kNax/2FNQ/9K5qy61Nc/5DWsf9hTUP/SuasugAooooA1NQ/wCPTQ/+wXN/6etYrLrU1D/j00P/ALBc3/p61isugAooooA1If8AkC6h/wBhTR//AEk1yjQ/+Q1o/wD2FNP/APSuGiH/AJAuof8AYU0f/wBJNco0P/kNaP8A9hTT/wD0rhoA+jKKKKAP8e7+2D/eT9KP7YP95P0ry7+2j/z0/wDQv8aP7aP/AD0/9C/xr+p/r395H8y/Uf7v/kr/AMz/AFX/ANkf4d6P8Yf+CXn7JXw617Udc0bTvGX7Ef7N+nHXvC95baf4n8OXz/BfwNdaT4n8MX97ZanY2fiPw3q0Flrug3V/pmp2EGrafZyXum39qs1pN6Bof7HGhaV8JPFXwm1T40/G/wAWj4gxfEHVfiP8RPEF58KbX4jeOfib461Tw7qmmfGbUNR8K/Cbwz4a8OePfhl/wjGl6d8NNK+H/hXwd8LtH0uKG11z4ceIzpmiS6VW/wCCcj+b/wAE9P2D5OvmfsZ/svPn13/BDwO39a+zK/mDHRi8fmkkmnicXiYVpRlOMpQp47E1KdpRnGVOUJwo1Izoyo1PaYbB1HUlUwWCnhf6RwV/qWWXtL6vhKHslKMZRj7bAYejWThOMoTjUpzrU5Qqxq0+TE4uChGONxixXwPbfsCaFHoOi+HtR/aR/aa1+z1HxN4k8T/H0a5rPwYvLT9rC58Uazp+sahZ/Gzw9F8Ebbwj4Xt7eLSdN8PaXf8A7NXh39n3xDp3hKws/C9vrY0a0trWL74oorBNxh7ONo0+dVOSEYxgpRo08PBRjGKUYUsPShQoUY8tDDUeelhqOHp1q0K2yhFS57Nz5HT55SlKTi69XEz5pTlJynVxFepXrVZc1bEVXCpiKtedKjKiUUUUiwooooAKKKKACiiigAooooAKKKKACiiigAoor5H/AGzv2tNF/Y++Fmj+Np/A/iH4peN/Hnjvw58JvhF8LvC9zbafqvxB+KPjFb4eGPDb6zeQ3VvoGm3T2FwdR117DVHsIVUWulapfTWthcTOahyXUpSqVaNClCnCdSrVr4mtTw+Ho0qVOMqlSrWrVYU6dOEXKUm37sYVJ06jBzcrOKUKdatUnOUadOnRw9Ctia9WpUm4wp0qNDD1qtScmoxhTk3d8ql9cUV+FH7VP7bPxpvf2Kf2otU+Pv7LX7UP7HnxC+EOv/ByPHwq+Pen+HZPFuh+OPGnhaOwv/hN+1b4a+Gnijwfe6hYSTT2HxD8OaN4U11tP025i0K61OG/1bUU0DgLv9rn9qf4Zf8ABR39vbwx8K/hB8Xf2ttH8J/Cv9nvxL4f+Ek3xu0jwB8Mfhdoq/DXw1q3jTxJFqPjy9vtC0XX9fudSW4tdE8HeD7/AF7xpex6zdzRwrYXE7HPCMp+1nGFKnSx1eWIjJVqMaOByDCcQznOVFt0k8LiZwqOooxwn1XE18ZKlSpum37OcowdOMp1JypQjRlF0qkp1s8wmRRhTVWyqt18dhqtP2bk8Qq1Ghho1a1ZOl/QtXy/XL/AH9sC0/aO/ZC8EftX/C/4O/EbxrL4y0kTxfBrwpqnw4t/Hh13TfF03gnxbo+ka78UPG3wq+Hl9aeG9VsNZ1RdX1vxb4X/ALa8NaW93p+nnX7yy8Mzd5/Z9p/0HNL/AO/Otf8AynrevQq4atVw9aPJVozdOpG8ZJSXK9JRbjKLjOEoyi3GUJwlF2krYUa1OvShWpS5qc03F2lF6SnCUZRklKE4Tp1IThJKUJwnGSTjr/G3/wAHY/8AzYL/AN3T/wDvuVfHf/Brf/ykA+MH/ZnfxA/9XV+z5X2d/wAHaFvFB/wwF5V9a3u//hqnd9mS9Ty9v/DOGN/2yztM78nb5fmY2Nv2ZXd8cf8ABrNDHP8A8FA/jCkt1b2aj9jj4gsJbhbpkYj41/s9gRgWltdSbyCWBaMJhWy4YqrfoeG/5Ier/wBgmL/9TkfCYj/ksaX/AGE4X/1DZ/ebRWp/Z9p/0HNL/wC/Otf/ACno/s+0/wCg5pf/AH51r/5T1+bn34aH/wAhrR/+wpp//pXDWXXTaPY2qavpTrrGmysupWLLFHFq4eQrcxERoZdKjjDuRtUySRoCRvdVywzf7PtP+g5pf/fnWv8A5T0AZdFan9n2n/Qc0v8A7861/wDKej+z7T/oOaX/AN+da/8AlPQBl1qax/x9w/8AYL0P/wBMun0f2faf9BzS/wDvzrX/AMp60tVsbVrmItrGmxkabo67Xi1ckhNIsUWQeXpUi7JVUSxgsHCOolSOQPGoBzNFan9n2n/Qc0v/AL861/8AKej+z7T/AKDml/8AfnWv/lPQBl1qTf8AIF0//sKax/6SaHR/Z9p/0HNL/wC/Otf/ACnrSlsbU6RYp/bGmhV1LVWEpi1fY5a20cNGoGlGQPGEVnLxqhEsflvIwlWMA5mitT+z7T/oOaX/AN+da/8AlPR/Z9p/0HNL/wC/Otf/ACnoAy6zPAPiT/hKvD/ifU/sX2D7LqnjHw35H2j7V5n/AAhvxOuPCH23zfIt9v8AaP8AYf8AaH2fy2+x/avsnn3XkfaZun/s+0/6Dml/9+da/wDlPWP4A1i38V+H/Empm4sNP+z6z418LtAZNUuvk8FfE688ILqjyjRoNsWr/wDCPpqEdrHHLPZf2jFaSmX7PNc1hOVsRQh7Xl56eJfseS/teSOHfP7T7HsOe/Lf957a2vs9PRoUefLMyr/U/a+wxOUQ+vfWOT6l9Zq5rH2H1a/+0f2j9X5PaWf1T6hzXX1nWSitT+z7T/oOaX/351r/AOU9H9n2n/Qc0v8A7861/wDKetzzjLorU/s+0/6Dml/9+da/+U9H9n2n/Qc0v/vzrX/ynoANc/5DWsf9hTUP/Suasuum1ixtX1fVXbWNNiZtSvmaKSLVy8Za5lJjcxaVJGXQnaxjkkQkHY7Lhjm/2faf9BzS/wDvzrX/AMp6AMuitT+z7T/oOaX/AN+da/8AlPR/Z9p/0HNL/wC/Otf/ACnoANQ/49ND/wCwXN/6etYrLrpr6xtWttHB1jTUCabKqs0WrkSg6vqr+ZHs0pmCBmaIiVY33xuQhjMckmb/AGfaf9BzS/8AvzrX/wAp6AMuitT+z7T/AKDml/8AfnWv/lPR/Z9p/wBBzS/+/Otf/KegAh/5Auof9hTR/wD0k1yjQ/8AkNaP/wBhTT//AErhrSisbUaRfJ/bGmlW1LSmMoi1fYhW21gLGwOlCQvIHZkKRsgEUnmPGxiWQ0extU1fSnXWNNlZdSsWWKOLVw8hW5iIjQy6VHGHcjapkkjQEje6rlgAe9UUUUAf57H/ABCd/wDBR3/otf7FX/hxvjr/APQ40f8AEJ3/AMFHf+i1/sVf+HG+Ov8A9DjX+hPRX1n+umff8/cL/wCEdP8A+XHzP+qOS/8APvE/+FU//lR89fsj/CbxJ8BP2Uf2Y/gX4yvdE1Pxf8F/2evgv8JvFWpeGrm/vPDmoeJPhz8N/DXg/XL3QLzVNN0bU7rRLvU9Hup9KudR0jSr+exkglvNNsbhpLWL6Foor5apOVWpUqzs51Kk6k2lZc1Sc6krLWy5qkrK7srK+h9JCEacIU435acIU43d3y04QhG70u+WEbuyu7vqFFFFQUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXwp+37+yd4s/as+GPgGL4YeMdA8B/Gn4F/F/wb8fPg3r/i3S59W8HzePfAQ1B9K0LxhBZw3Oo2/hnWHvgmo3+mWWo3tg9vbXSaVqsUc2m3X3XRUyjzOlJTnTqUMRhsXQq0pclWjicJXhiMPWpy5ZpTp1aaaUoVISjOrTqU506tSDqMuVVIuMJwrUMThq1OpHnp1sPi8PXwmJo1I80eaFXD4irCSUoyV4zjKE6dOcPxO+On7G/wDwUg/av/Zc/aK+Gn7Qvxx/ZqPjn4oXvwttfhh8L/hhoPinw/8AAj4e6f4G8Z+G/FHiPxNqPxA17wTr3xq1vxL4uh0q4t49Dv4dT8PaJcQGS1nlh1qOLwx9F/DL9jr4m+DP2yf21/2h9U13wJceCv2kPhP8JfAngfS7DU/EEvijStX8BeALPwrrFz4rsrjwxa6TY6bc6jbvNps2ka3rt1NZFZLqzs5ybdf0mopVKVOpTxNFwjCnisLmODrRppxvSzXIVw5jWpNzn7arlqfLWnOpOnipfWI6Qo4ahVOrUp1MPVU3KeGr4bEUXO0lGphM6wGf4ePKlCHsoZhluFbpxjCMqEatKblLEV8RU+G/+Cb/AOzN48/Y+/Y5+E/7PXxL1bwjrnjTwJN46k1fU/At/rOp+F7lfE/xC8VeLbAabe6/oPhnVZjDp2uWkF59q0WzEd7HcRwm4gSK5m9Er6gr5frpxOIqYqvVxFZxdWtJSm4xUItqFKmrRTaS5aNPRN6pv7TtzUKNPD01SppqEZVZLmk5O9atXxE9Wlo6mIqNK2kXGKuopv8Ajv8A+Dsf/mwX/u6f/wB9yr47/wCDW/8A5SAfGD/szv4gf+rq/Z8r+lb/AIKw/wDBJP8A4eiWXwKvP+GgP+FG/wDCh7r4kW3l/wDCqf8AhZn/AAlX/C1ovA0u/f8A8LJ+H39h/wBg/wDCstu3brH9qf23ndp39m4v/E/+CW//AARD/wCHa37QHjD46f8ADTn/AAuj/hK/g74g+E3/AAi3/Cl/+Fc/YP7d8a/D7xh/b/8Abf8Awtjx39q+y/8ACCf2d/ZX9kW3n/2r9r/tKH7D9lvPsKGb5fDhWplssRbGyw+IgqPsqzvKpi1VgvaKn7PWHvX57LZtPQ+VrZXjpcS08wjQvhI16E3V9pSVowwzpyfI5+00npblu90mtT96qKKK+JPrzU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhrLoAKKKKACtTWP8Aj7h/7Beh/wDpl0+sutTWP+PuH/sF6H/6ZdPoAy6KKKACtSb/AJAun/8AYU1j/wBJNDrLrUm/5Aun/wDYU1j/ANJNDoAy6KKKACszwD4k/wCEq8P+J9T+xfYPsuqeMfDfkfaPtXmf8Ib8Trjwh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbTrM8A+JP+Eq8P+J9T+xfYPsuqeMfDfkfaPtXmf8ACG/E648IfbfN8i32/wBo/wBh/wBofZ/Lb7H9q+yefdeR9pmwnK2IoQ9ry89PEv2PJf2vJHDvn9p9j2HPflv+89tbX2eno0KPPlmZV/qftfYYnKIfXvrHJ9S+s1c1j7D6tf8A2j+0fq/J7Sz+qfUOa6+s66dFFFbnnBRRRQBqa5/yGtY/7Cmof+lc1Zdamuf8hrWP+wpqH/pXNWXQAUUUUAamof8AHpof/YLm/wDT1rFZdamof8emh/8AYLm/9PWsVl0AFFFFAGpD/wAgXUP+wpo//pJrlGh/8hrR/wDsKaf/AOlcNEP/ACBdQ/7Cmj/+kmuUaH/yGtH/AOwpp/8A6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFfMH7Rv7Z37M37JM3gyD9on4p6f8Mm+INv4vufCEup6B4v1a11hPAmm2Oq+JYhe+G/D+tWdjd21rqenx6dY6nPZXviDUL210jw9b6rq08dk1D4K/tyfsmftDfDLxr8Y/hN8cPCGv/Db4bPdD4heJtYGr+BY/BENpYvqUl/4q0zx/pnhfWtB0iWxiuLiy1rU9NttJ1FLO/Gn3t02n3qwSpwlTxFaM4yo4RVJYqqpJ08NGlOFOrKvNNxpKnUq0qdRzsoTqU4ytKpTU6lGUZUISjKM8S4xw0GmpYiU41ZwVCLV6rlChXlFU1JyjRrNX9lUUPq6ivir9nD/gop+xf+1v4n1vwV+z98dNE8deLtA0wazf+Grnw5458Fa1PpIkkin1DRdP+IHhfwrc+JLSweNf7Vm8Ox6qmkLcWL6obRNQsWuPi79oL/guf+xL4B+DnjnxZ8EPibp3xl+Kul+HjeeDfh9J4J+Mvh7TdQ1e48QSeGYYfFPiK7+G0em+Fksbm3vtWbSvEF9oOoa5p1naR6dc2kHiHRtWlmvVWHg51I1G1h/rUaVOnKpWq0HVdCNSjSjaVSEq6dBTTjBVk4VJ0nCfLVGnKvPkg4LlxEMJUqTnGFKjiJ05VlTr1HeNKXsIzr8srydGEqkI1I2v+01FfzpfEb/gt/Z+N/jH+yx8Iv2R/G/7PN6nxa07R4/ih46+N3w9/aWj0TSfG+va/pXh3TfAHg7RPCmg6Tr1rql3qA1mKw13VItf8JTz3Omx6xrnhuwsLnVtT/Tqf/gp7+wXbfHVv2bZv2k/BcfxeXxKPBr6KdO8Wnw1H4s8vcfDsvxLXw6fhhFrCXWdGlsJPGK3EXiYHwrKieJFOlDq9hUc/ZxSnUlj8xy6jTpy56mKrZXXhh8VVwsIpyxGElVqU44bEwtHFKpSnRpShWoutze2p8vPJuEI4HB5hWnUi6cMNRx0Kk6NPFSm0qGJhClN4nDycpYZwnCtUjUpVoUPvOivxc+Mn/BRT4w+A/Gf/BR7wza6l+zp8P8AR/2Qb/8AZYtfhx41+LHhT43a14cuU+N8MU3ilfiXa/CS58XeMNYmWVhp/hBvBfhHSIbC9ubaTxEbrT0ur2D7M/aK/wCCiX7G/wCyRrPhnwr+0R8ctA8C+LvFGirr2n+HLHw5478a6wNKLRxJqupaR4D8L+KdS8O6ZqFw00ejXXiS30uPWTZ6immPePpWpi0whKM6GHxClFQxbwqw6lJRqVZYzA1sxoQjC7fO8LQqznTclOny3lH2TWIe84Tp16uHcZOpRVd1XBOUILDTy6nVk52iuXnzTBxjJJxlKc4c0akPZT+16+X69J1L47/BLRfhRB8eNd+L3wz0D4JXGmaNrUXxd8QeOfDWhfDUaV4i1Cx0nQb+Xxtq+p2fhy3ttY1bU9O0nTpJ9RiF3qt/aabDvvriKBuK/sPWv+gPqn/gvu//AIzVzhOnKUJxlCcJOM4Ti4yjKLs4yjJJpp7ppPbo03nCcKkI1KcozhOKnCcGpRlGSvGUZJtNNO6a/BpqP8bf/B2P/wA2C/8Ad0//AL7lX2J/wa3/APKP/wCMH/Z4nxA/9Ur+z5XyL/wdoWN7Zf8ADAX2yzurTzP+GqfL+028sHmbP+GcN+zzUTfs3ru2527lzjIz9j/8Gs2nahef8E/PjDLaWF7dRr+2P8QY2kt7WedA4+Cn7PbFC8UbKHCsrFScgMpIwRn7av8A8kPhf+wuH/qdiz5Cj/yWOJ/7Bp/+oeFP6P6K1P7D1r/oD6p/4L7v/wCM0f2HrX/QH1T/AMF93/8AGa+HPsQ0P/kNaP8A9hTT/wD0rhrLrptH0fV4tX0qWXStSjjj1KxkkkksbpEjRLmJnd3aIKqKoLMzEBQCSQBWb/Yetf8AQH1T/wAF93/8ZoAy6K1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZoAy61NY/4+4f8AsF6H/wCmXT6P7D1r/oD6p/4L7v8A+M1paro+ryXMTR6VqUijTdHjLJY3TAPFpFjFKhKxEB45EeOReqOrIwDKQADmaK1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZoAy61Jv+QLp/8A2FNY/wDSTQ6P7D1r/oD6p/4L7v8A+M1pS6Pq50ixiGlakZE1LVZHjFjdF1SS20dY3ZPK3KkjRSqjEAMY5ApJRsAHM0Vqf2HrX/QH1T/wX3f/AMZo/sPWv+gPqn/gvu//AIzQBl1meAfEn/CVeH/E+p/YvsH2XVPGPhvyPtH2rzP+EN+J1x4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TN0/wDYetf9AfVP/Bfd/wDxmsfwBf6p4r8P+JNTGg39j5Os+NfCkcAS4u/Pn8EfE688ISzpKLS3/e3v/COTahJZrG72HmS2jTXP2R7mTCcrYihD2vLz08S/Y8l/a8kcO+f2n2PYc9+W/wC89tbX2eno0KPPlmZV/qftfYYnKIfXvrHJ9S+s1c1j7D6tf/aP7R+r8ntLP6p9Q5rr6zrJRWp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNbnnGXRWp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNABrn/Ia1j/sKah/6VzVl102saPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBrN/sPWv+gPqn/gvu/wD4zQBl0Vqf2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zQAah/x6aH/ANgub/09axWXXTX2j6u9to6ppWpM0WmyxyqtjdMY3Or6rKEkAiJRzHJHIFbBKSI+NrKTm/2HrX/QH1T/AMF93/8AGaAMuitT+w9a/wCgPqn/AIL7v/4zR/Yetf8AQH1T/wAF93/8ZoAIf+QLqH/YU0f/ANJNco0P/kNaP/2FNP8A/SuGtKLR9XGkX0R0rUhI+paVIkZsboOyR22sLI6p5W5kjaWJXYAhTJGGILrk0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFAHvVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfg1/wVm8UX3gn9sv/glN4x074Vav8bLvwt8SPj14gT4aeHE0yfxRr8Wj+HfhxqF1c+EbLWLqy0/VfGHh21t5/E/hLRJryzk1zxHo2maRZ3dre3tvcR/Kvjn9k/8AaT/bY8If8FTPjj4B+AfxA/Z+h/aXtf2fNM+EXwZ+M2j2nww+JXxKvfgbquha9401TxZ4b1K8msPDF94obRmg0C41G4j03W9Y1BTNr8dpDqWtXP8ART8Qf2fPhB8U/iL8H/iz488I/wBu/ED4Cap4i1n4Ta//AG/4n0v/AIRTUvFljY6b4guf7K0bWtO0XXf7QstNsofJ8S6brNva+T5llFbTSSySezVjQpeywvJKf+1U8bxDiMJUUITpYSOc4/hnGRqypVIyp46o1w5h6dXC4ym8JBOfK8R7f/ZeieIl9Zw9WnFKnTwuR0q8ZXcsTUyevxHiIU073w1ONXPFOOIw0o4mpGM6UvYxh7XEfz8+E5Pir+2x+1z+wl8QPCH7G3x8/ZB8GfsY+GPGl38TvFHxx+G8PwqS9t/FPgmx8L6H8HfhDab47jxx4SS70vULCe7i0nRrfSfD99Ldz6N4bmvbPT9Y8x+F37MHxmH/AAQT+MnwYs/gv480L41+Jbn4meJ7j4aav4L1/QPiH4gutP8AjNba3BLF4U1TTrTX9R1bUvBfhyyHh+0isJLzXLa30u00mK6ae0ST+lSiqxNOOJw2ZYbWms0pVliKilKrOOJxPElLibE4iDrSm+SrjMPh6McJKcqNOjSlVdWvjK+IxVbHCS+p1ctqQXPHKquX/VacrK2FyzIcwyDCYWpOKUqko4bM8TXq4tqNapW9lTVKjhqVOhH8GfhdF8U/jh+2t+wx8ZF+AP7RXwd8LaH+xZ8Yvhj4rvPiv8Kte8IX3gPxnYXdz4dtLbX55Yb7SdHm12eyOteDYNXvrLUde0Sew1EaXbm5a2j+Erb4T/tG6d+wX4i/4JIyfsI/Gq7+POqfFu6SD9oyHwTpz/sr6haXXxOs/iRb/GnUfjpBJZQwaxaeCoV8NwWcmnXOsJaafp3hy6uY9caTwBaf1p0V0Vpxr18RUqw5qWNxeKxmNoRqVKXt6mI4v/12gqeJpShicHGjnE8RD/Zp89TB1o0+ehiMJgsdh8sPGWFp4eNGdquChgI4GtKEJ/V3gOGKnCVN1KMv3OM58qnTco4i0PrdL23LKlXxWFrfyqftXfszftDXej/8Ff8ARNI+E/xl+Id744t/+CdemfD/AF/S/hr4y1i4+MFx8O7XRrTxzrXgw6bo1yvi6XRprWe98VN4eOoroTvL/abWoUkfWXim5+KX7E/7c37W/wAbPFf7G/x9/ar+H/7W3wu+Fdh8OfFP7P8A8N7P4r6x4Tufh54LsvC3iv4V/EbSFS01Lwb4a8RXr6feXF7cSXljqtjomjPZ6T4nvrPVoPC3780VlPmq0Z0qkk/b4fFYPFyjTpQ9vhcfklXJMdThTjD2WFnXpVI4ilVoU2sNUh9Xhh6+Cq1cNK1GnFwUYNU6Lw06EPa1OanUwOMyHGYKbrRcKtRUZ5DRhUjKUPbxxFSo6lDEUcNXp/nT/wAEqf2efih+zF+xV8Nvhf8AGC1i0XxudW8beMLzwVbahDqln8O7Lxr4q1PxFp3gi2v7aa5t55NKtr1bnUxb3V3bwa1qGp20F5eQwx3U3u1fUFfL9dGIrvEVpVXFQvGlCMFKc+SnQw+GwtGLqVJTq1ZRoYSip1qs51q1RVK1Wc6lWcnnSpunBqUuec6uIr1Z8lOkp18XisVjMRONKlGNKjCeJxmIlTo0oxpUKbp0KSVOjA/jv/4Ox/8AmwX/ALun/wDfcq+xP+DW/wD5R/8Axg/7PE+IH/qlf2fKl/4OFP8Agn7+11+3LB+yRcfstfCT/haMPwql+O8Pj1/+E8+GXgn+wZfHqfByTwmu34i+M/CL6p/aqeCfE53aMuorY/2ZjUjZm908Xf0d/wAEE/2Q/wBoj9i39j/4kfC39pj4e/8ACtfHev8A7SfjDx/pOhf8JZ4H8Y/a/CWqfC/4O+HbDVv7T8AeJvFWjQefrPhXXrP7Bc6hDqcX2D7RNZR2t1ZT3H1VbFYZ8HYbCrEUHiY4mEpYdVYOuorGYqTk6XNzpKMoyu425ZJ7NHzFHDYhcV4jEOhWWHlh5xVd05qi5PCYaKSqW5G+aMo2TvdNbpn7c0UUV8cfVmpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNZdABRRRQAVqax/x9w/8AYL0P/wBMun1l1qax/wAfcP8A2C9D/wDTLp9AGXRRRQAVqTf8gXT/APsKax/6SaHWXWpN/wAgXT/+wprH/pJodAGXRRRQAVmeAfEn/CVeH/E+p/YvsH2XVPGPhvyPtH2rzP8AhDfidceEPtvm+Rb7f7R/sP8AtD7P5bfY/tX2Tz7ryPtM2nWZ4B8Sf8JV4f8AE+p/YvsH2XVPGPhvyPtH2rzP+EN+J1x4Q+2+b5Fvt/tH+w/7Q+z+W32P7V9k8+68j7TNhOVsRQh7Xl56eJfseS/teSOHfP7T7HsOe/Lf957a2vs9PRoUefLMyr/U/a+wxOUQ+vfWOT6l9Zq5rH2H1a/+0f2j9X5PaWf1T6hzXX1nXTooorc84KKKKANTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasugAooooA1NQ/49ND/AOwXN/6etYrLrU1D/j00P/sFzf8Ap61isugAooooA1If+QLqH/YU0f8A9JNco0P/AJDWj/8AYU0//wBK4aIf+QLqH/YU0f8A9JNco0P/AJDWj/8AYU0//wBK4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr5fr6gr5foA/m4/4OFP8AgoF+11+w1B+yRb/stfFv/hV0PxVl+O83j1P+ED+GXjb+3pfASfByPwm274i+DPFz6X/ZSeNvE426M2nLff2nnUheGy082n0d/wAEE/2vP2iP20v2P/iR8Uv2mPiF/wALK8d6B+0n4w8AaTrv/CJ+B/B32Twlpfwv+DviKw0n+zPAHhnwro0/kaz4q168+33OnzanL9v+zzXslra2UFv+VH/B2P8A82C/93T/APvuVfYn/Brf/wAo/wD4wf8AZ4nxA/8AVK/s+V9jWwuGXB2GxSw9BYmWJhGWIVKCruLxmKi4ury87TjGMbOVuWKWyR8pRxOIfFeIw7r1nh44eclQdSboqSwmGkmqd+RPmlKV0r3be7Z/SZRRRXxx9Wamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNZdABRRRQAVqax/x9w/9gvQ/wD0y6fWXWprH/H3D/2C9D/9Mun0AZdFFFABWpN/yBdP/wCwprH/AKSaHWXWpN/yBdP/AOwprH/pJodAGXRRRQAVmeAfEn/CVeH/ABPqf2L7B9l1Txj4b8j7R9q8z/hDfidceEPtvm+Rb7f7R/sP+0Ps/lt9j+1fZPPuvI+0zadZngHxJ/wlXh/xPqf2L7B9l1Txj4b8j7R9q8z/AIQ34nXHhD7b5vkW+3+0f7D/ALQ+z+W32P7V9k8+68j7TNhOVsRQh7Xl56eJfseS/teSOHfP7T7HsOe/Lf8Aee2tr7PT0aFHnyzMq/1P2vsMTlEPr31jk+pfWauax9h9Wv8A7R/aP1fk9pZ/VPqHNdfWddOiiitzzgooooA1Nc/5DWsf9hTUP/SuasutTXP+Q1rH/YU1D/0rmrLoAKKKKANTUP8Aj00P/sFzf+nrWKy61NQ/49ND/wCwXN/6etYrLoAKKKKANSH/AJAuof8AYU0f/wBJNco0P/kNaP8A9hTT/wD0rhoh/wCQLqH/AGFNH/8ASTXKND/5DWj/APYU0/8A9K4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACv5+f2tP2e/hl+07/AMFnfhJ8J/jFY6/rnw51P9grWtS8SeFdE8X+KfBdt4th074qeNjZaL4j1Lwbq2ha9eaBFqU1nrj6Vb6tZwXWraPpEt4bi2tpbS4/oGrjJ/hx8PLnx5Z/FO58B+DLj4nad4el8I6f8R5/C+hy+PLDwpPdzX83hiz8XyWLeILXw9NfXE97LosGoppsl3PNcvbGaR3aI04fXcvxNWEatLBzzCdSjKKl7X63k2Z5ZSspJ0/3NfG0MS+dNOOHaivaezav2k44bG0acpU6mKw9GjCrGTi6Tp5nlGOnJuLU7To5dXoLkcZKWIjLmUY1GfyG6X4j8VeAv2BPiF8D5PiB8RPC37KnhL/grz4g/Zr+Lmv6TrmsS6r4A/ZEuJNNHiHw1Jrtpp2qajpPhPVNV1CSTWnSNbbU9W1iTSLm11CHxTe6RqXt8+nfA/4R/Fv9tv4Lf8E8fF9l4s/Y81f/AIJk/HHx98bfD/gr4nax8XvhH4M+M3/CPeK9I8M63ofjLUvEnjGGLxvrug2em6fqWkweIJZLnSTevMsy6FDaaH/TXpnwW+Dmi+HfG/g/R/hN8NNJ8JfEzUte1n4j+F9M8CeFrDw78QNY8VW6WnijVfG+iWulRaZ4r1LxJaRx2uvX2vWt/daxbxpDqEtxGqqM7wh+z/8AAf4feDvEvw78A/BP4R+CPh/40TUI/GPgXwh8N/Bvhrwd4sTVtNXRdVTxL4Y0XRrLRNdTU9HRNJ1BdUsboXumothciS1URDKpSq1cJXo1KrniK2WLC18VJzlUzHET4MyLherDNZzc6mIwGHx+VYjP8FGMnili8Zes6eLWIzDEa06tOljaOIp0lDD0c3+vUMJFRjSwOHhxs+K6dTL4wUYUMylgm8hq1Hy4RYSdTk5sM44GP82Ph79kX4Qfs4/8E+/2Kv8AgoV8P/Deox/Gz4a+Kf2W/jl8ZPiRfa14o8Q674h+GWoXVp4O8XeGvs2pa3e22g+EPDvg/wAYWlmuj+FLLS7F9A8K2C6nZ3i2hnj+ctT8QePINH+K/h/TdQ8Xy6t/wW4uvD2v/D9buaG6g0j7f+174t8IalZWcENzbSWNkf2c/F/hHUriO7kukEd9eWdxLFo1jDBY/wBgB+Gfw3bwAfhO3w/8EN8LD4e/4RE/DQ+FNBPgA+E/sv2H/hGD4NNh/wAI7/wj32L/AEP+xf7N/s37L/o/2byvkrFj+B3wUhuPhxdxfB/4WxXXwctZrH4RXMfw/wDCaXHwrsri1gsbiz+HEy6QJPA9rPY2ttZzW/hhtLhltbeC3dGhhjRe+rUpVsxxdepS9pl2IzCNSngJ8rjSyfFvLqud5Ty6UeTMcTw5w1Ui4KEYRpZxzyc8bQkuClCrRwOHo06ihj6ODnGWOSbdTNMJUzGWR5jLmUqlSWWxz3O1ONWTdW+WwSlQoYqlV/kM/wCCnEHwN8R/FD9qTwL4f074faV4h/Y/+Gfwg+HPgW//AGmv2mfFfhS58P6Pofw98iDwl+xF+zf8MdL8K6jr3jG8v5dD8Qa54l+J3ijx94Pm1O2jvbnw9o2massq/W/jb44+Lf2GLr9ln9vbVJr/AMYw/tdf8E69A+FXxM16BJdZfxZ+1H4K+E2keNfgt4p8STW8TXuq6x41uYYPBz61cQzeRpsWrX2oSpbwSyp/RX4p/Z3/AGf/ABx4vm+IXjX4GfB3xh4+uNAv/Clx448U/DLwV4g8Xz+F9V0jUvD+qeG5vEuraJd61LoGpaDrGr6Jf6O962nXmkarqWm3FtJZ311DL8hfHz/gn43x5+KH7PC6h8WtP8H/ALIv7PmueCvGmkfse+Evg54N0nw1q3jr4fJ4li8M6tb/ABB02/07VtA8NwW2tabpd34FtfD154fk0bS7u1sU0691ZdT07lpRnOlQwuJr1VUxuZutmuY05crhhcxwHFGXcUV6cdK8cXnGX57RqYVUYydLPMBl1bFYnEUKKxuF6ansoznXo0KcqOCy6dHAYCoryrVMDPhnF8O4SpU1p1KGXZjw+lXliJxVXK8wzVwp0cXWlSx2z+xr+x5p3wu/YV+Gv7PXxBvfHVh4j8RaDY+OfjBrPgr4m+Pvhd4+m+KPi7WrX4heLzafE74S+J/BfjzTJLHxHIvh2e70LxPYPrfh3TW0XVpdQ0bUdRs7z3r+2Lv/AJ46X/4I9F/+V9fRlfL9dWJrfWK9WsqdOjGc/wB3QpLlo4ehCMKWHw1GNko0MLhaGFwtCKjHlo4akuVO6OfD0pUaNOnOrOvUSlKtiKn8TEYirOrXxWJqu8r1cVi8RisTU96X7zESXNLlUpfx8/8AB2heS3f/AAwF5qWqeX/w1Tt+zWNlZZ3/APDOGd/2O3g8zG0bfM37Mts272z9j/8ABrNfz2v/AAT8+MMcUdkyn9sf4guTcadp94+T8FP2e1IEt3azyKmFGI1cICWYKGZifi7/AIOx/wDmwX/u6f8A99yr7E/4Nb/+Uf8A8YP+zxPiB/6pX9nyvsa//JD4X/sLh/6nYs+Uo/8AJY4n/sGn/wCoeFP6YP7Yu/8Anjpf/gj0X/5X0f2xd/8APHS//BHov/yvrLor4c+xOm0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysARm/2xd/8APHS//BHov/yvo0P/AJDWj/8AYU0//wBK4ay6ANT+2Lv/AJ46X/4I9F/+V9H9sXf/ADx0v/wR6L/8r6y6KANT+2Lv/njpf/gj0X/5X1parqt1HcxKsWmkHTdHf59H0iQ5k0ixkYBpLFmCBmIjjBCRIFiiVI0RF5mtTWP+PuH/ALBeh/8Apl0+gA/ti7/546X/AOCPRf8A5X0f2xd/88dL/wDBHov/AMr6y6KANT+2Lv8A546X/wCCPRf/AJX1pS6rdDSLGTytN3NqWqoQdH0goBHbaOylYjYmNHJkbfIiK8gEayMyxRBOZrUm/wCQLp//AGFNY/8ASTQ6AD+2Lv8A546X/wCCPRf/AJX0f2xd/wDPHS//AAR6L/8AK+suigDU/ti7/wCeOl/+CPRf/lfWT4D8cXXizQPEeqnTtNsDY6t4y8PLAun6ROJD4O+Jd34M+2SOmlWqumorozaiLOWKVLJ7lIRLcyWkd47qzPAPiT/hKvD/AIn1P7F9g+y6p4x8N+R9o+1eZ/whvxOuPCH23zfIt9v9o/2H/aH2fy2+x/avsnn3XkfaZsJytiKEPa8vPTxL9jyX9ryRw75/afY9hz35b/vPbW19np6NCjz5ZmVf6n7X2GJyiH176xyfUvrNXNY+w+rX/wBo/tH6vye0s/qn1DmuvrOvT/2xd/8APHS//BHov/yvo/ti7/546X/4I9F/+V9ZdFbnnGp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAdNrGq3Uer6rGsWmlY9SvkUyaPpErkLcyqC8sti8kjkD5pJHZ3OWdmYknN/ti7/546X/AOCPRf8A5X0a5/yGtY/7Cmof+lc1ZdAGp/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1l0UAdNfardLbaOwi00mTTZXbdo+kOARq+qx4jV7FliTbGpMcQRC5eUqZJJHbN/ti7/wCeOl/+CPRf/lfRqH/Hpof/AGC5v/T1rFZdAGp/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAdNFqt0dIvpPK03cupaUgA0fSAhEltrDMWiFiI3cGNdkjozxgyLGyrLKHNH1W6k1fSo2i00LJqVijGPR9IicBrmJSUlisUkjcA/LJG6uhwyMrAEZsP8AyBdQ/wCwpo//AKSa5Rof/Ia0f/sKaf8A+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZWqa7oehvpcetazpWkPrmq2+haKmqajaae+sa5dw3Nxa6Npa3c0J1DVbm3s7ue3060E13NDa3MscLJBKynZdW4xS7ylJRjFd5Sk1GMVeUpNRjGUmos7vok5N9FGKcpSb2UYxTlJuyjFOUmkm1q0UUySSOGOSaaRIookeSWWR1SOONFLPJI7EKiIoLO7EKqgkkAE0pSUU5SajGKcpSk1GMYxTlKUpScYxjGMZSlKUoxjGMpSkkm00m2kk220kkm222kkkk2220kkm22kk20m+vl+vdPA/j7wL8TvDOn+Nfht408J/ELwbqzXqaV4t8D+I9H8WeGdTfTb650zUU0/XtBvL/Sr1rDUrO70+9W2u5Da31rc2k4juIJY18LqpRlFuMouMlvGScZK6TV1JRaupRauldSi1dSi3KaezTs5RdmnaUZShJOzdnGcJwknZxlCUZKMoyjH8gf+CsP/AAVs/wCHXdl8CrP/AIZ//wCF5f8AC+Lr4kXPmf8AC1v+FZ/8Ir/wqmLwNFs2f8K2+IP9uf29/wALN3bt2j/2X/YmNuo/2lmw9Y/4Jb/8FCv+HlP7P/jD46f8Kh/4Uv8A8Ip8YvEHwm/4Rb/hP/8AhY32/wDsLwV8PvGH9v8A9t/8IV4E+y/av+E7/s7+yv7IufI/sr7X/aU3277LZ/gr/wAHY/8AzYL/AN3T/wDvuVfYn/Brf/yj/wDjB/2eJ8QP/VK/s+V9TVy3BR4Vw+ZRo2xs8RGEq3tKrvF4vE0mvZufs17lOEbqCel73bb+bpZhi5cS18vdW+EhQlONLkp6SWGoVE+dR9o/fnJ2cra2tZJL+kyiiivlT6U1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhrLoAKKKKACtTWP+PuH/ALBeh/8Apl0+sutTWP8Aj7h/7Beh/wDpl0+gDLooooAK1Jv+QLp//YU1j/0k0OsutSb/AJAun/8AYU1j/wBJNDoAy6KKKACszwD4k/4Srw/4n1P7F9g+y6p4x8N+R9o+1eZ/whvxOuPCH23zfIt9v9o/2H/aH2fy2+x/avsnn3XkfaZtOszwD4k/4Srw/wCJ9T+xfYPsuqeMfDfkfaPtXmf8Ib8Trjwh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mbCcrYihD2vLz08S/Y8l/a8kcO+f2n2PYc9+W/7z21tfZ6ejQo8+WZlX+p+19hicoh9e+scn1L6zVzWPsPq1/8AaP7R+r8ntLP6p9Q5rr6zrp0UUVuecFFFFAGprn/Ia1j/ALCmof8ApXNWXWprn/Ia1j/sKah/6VzVl0AFFFFAGpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFZdABRRRQBqQ/8gXUP+wpo/wD6Sa5Rof8AyGtH/wCwpp//AKVw0Q/8gXUP+wpo/wD6Sa5Rof8AyGtH/wCwpp//AKVw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX4nfEb4oft4/tSfth/tV/AT9lD9onwT+y74a/Y/wDCvw3SNfEHwc8O/Eu7+NfxA+KfhWXxVpdn4q1bxfp+qS+BvB+my6Vd6N/bng7S9S1K1s7mXUzonim4ubW30f8AbGvzk/aR/wCCY3wR/aP+KGu/GA/Ev9oz4FeOPHHhKLwL8WL39nb4rf8ACubL4z+ErW1tdO0/Qvijpt34f8R2viGwsNJtm0eOG1TS1vdLnNrq/wDaQtNLawycZ/WcPPV0o0sdDSq6caOMq0MPHL8dVgqVb61QwdWninVwns6ntPrUK8aGKnhY4eesZQVCvDRVZVMBKLdJVefDUccquYYWF6lL2NXGYS1GniPaU+R0503Vw8a7xFP57+MPxl/bq+Kn7U3we/YW+GHxf+GH7LvxI0z9mC1/aO/aE+NXhb4ax/GrTNS1wa23gSfwP8KvCnxTsdK0+XwjJ4luLfVn1HXGsfEi2M0KDU7WXQrzSvFvxZ48/wCCiv7b1t8H9A+Gei/ELwRpH7THwp/4KTeG/wBijx58V7fwF4fvvh78Y/D91p3iGPTvEeteGLzStSg8L3GuajYQS+NNL8CSaHqmlrahtBufD39pjTbP9Wvix/wS9/Zr+Iml/BSDwNqnxf8A2ZvFH7PvhP8A4V78MPib+zN8SL34cfE3SPhy9rfW914E1DxbqFh4ouNc0O+uNRvNUvbvVoLvxHNql5q10NeRfEXiWLWYIf8Aglr+zPY/Cj4NfCPSLz4maRpfwd/aA8O/tOt4rg8T6PqXj34pfGXQlmF14q+LfiPxB4Y1n/hJJvErTK2vrpFl4ckEdtZ2ehzaJp9rDZp0UVSeIpuvd4X+06VTGwhFwljKT4upZi8ZhvZ1pSy3C0OF/bZRPJqVaXt5yVKNSb5cyp81Xn9hJUVav/ZkqWEc5qawlePC2a4CpQxM504rMq2M4irZXmNLMqlKP1OOGqVWoNPC4j8n/Gv7QX/BUnwk/wDwUN+F0f7aXgjUrz9gjw54V+MFx8YD+y18OrLxp8UdO8W+AD4js/hYuhC7vfhx4I8N28FlquonWX8MeK/Gs2tQQxpr7aFcTWGner6h+1X+3h+0r+0Z8Avhb8Dv2gvCn7OGi/Fz/gm98Pv2qPFkkvwe8FfFODw7411W9e/1i48H2fimyi1Oe51W5Ol+F0tfEXiO+0DSPDF3q+qwaNfeJrbTrlv1G8SfsB/BzxRrH7aWt6h4l+JcN3+3V4P8J+Cvi3HZ6z4Wjt/DuleDvCOp+C9MuPhyk/g24k0jUJ9L1W4uL+XxNL4vtpb9IZbe0tbdXtZIfhj/AME+/g18KPil8Nvi34d8TfE698SfC79lTQf2QPD9lrWs+FbjRLz4aeHZYJrLXNYtrHwXp1/ceOZWgQXWp2WpafoDqWEPhmAkEctq0sHCE5J4qOXxnzx5Yc2bvhHjLAzlOUFGMsPHiCtwXWjT5VhWsDWx3sOdZl/aPTVdNYipUoL93LFV1GM1eKwU834HxkIqEr8tRYbC8a01NP28KWMoYSNWNKtgoYP8X/gv+3p/wUK1Lwf/AME6v2mviP8AGv4fa38NP2jP2ktC/ZT8X/A3RPgt4f8ADq+JLb+3vEPgm++MOufEWe41HXk8Z6lqOnX+rSaJ4Es/BPgSyv8ASNGjtdB/s+51zRpOU8X/APBTb/gol48+M/xj8d/s9+DP2ivGfw8+Enx38QfDTwl8DfhX+xBp/wAXPgf8Q/C/gPxDaaZq7/Ej9pW18Rt8VfBHj7XNIuL/AFW70Twl4OvrPS5E8MLD9jttX1F7X9lNE/4Jf/ALQfg7+y18EbPxf8YJPCn7I/xzt/2gfhvqFzr/AILfxDrfjK28WeIPGUemeN7uL4fw6bqXhk6n4kvoHstB0nw1qpsIrSJdaW4jmup+S8e/8Eh/2X/iD8WfF3xG1LxX8fNH8GfEf4gaZ8U/ij+zb4Z+KTaP+zX8T/Hum3cGoyeI/HHw5XQZ77U73U9VtrfVNQFt4msYftkK/YIrG2eW3k75TpvH4epFqOFpZhmM6cvYwmqeHr1OD8RQr4rDSa+vwk8NxjQWBk28O8woU6bw2BxFGpk3PKNqNeMVKpKeHoRlGVWUZ1nh8fxdGFCjWTj9TqSy/F8KzrYuLh7d4OsqsqmMwr/tD5P8W/Gf/goJ8eP20v21Pgl8Cv2ndH/Zy+H/AMD/AIRfBf4peGtM8VfAT4f/ABD8WaPq/ir4XaJ4luvBCHXLCzbT7XX9Zv8AV5fF+teJ5fGep+Hbiw0yy8LaPFbSahEPh7xB8Tv2p/23G/4IufGsfHzTPhJ8S/iR4h+Ovg2w1zSPhB4O8XWXhf4j/Dy/8QeHdc+L39iazc2Ona3d+PfC+kaTp2peCJ47HwroOowXer6BFardpp9r/Rj4W/Y++GXhH4/ftDftGaXrPjd/Gv7Svg7wZ4I8caPdaj4fbwlo2keBvDcPhfR5fB+n2/hm21bTr6bToEkv5NX1zXrWS7y9raWkGLcfLl9/wSN/Z7m/Z/8A2ev2f9F+J/7R3gq2/Zh8Y+LvG3wm+LPgX4heGfC/xo0fVPHGrazrXiG3k8Wad4BTR4rO4vtYRoJdI8MaTqttHpOlpFqY/wCJi2o8+FcaM8pqzpXeBxXDePqQlUdepDF4PiHjWeacuJrJzrRhw9mvDVKCqWp4ypgK0FSp41VMRU0q804YiEasVOvhszwMqroxjRnh8Rwnwnh8POphYRVPmqcUZXnWJq2h7SnRxnNf6lXlhF+VX7Y3/BSb9sP4T/E74p/EP4P/ALRKfEXwB8IvjzB8NdQ+D3wf/ZLu/G3wB0LRtB1vw3pSaB+0B+1h480Dwnq3hb4qfEBr/Vbafwp8Hn8eaRZ6taRabpHi/Q5L20lj+6Yvid+2v8bf+Ci/7VXwW8FftJ2Pwm/Z6/Z00X9n34gaj4OPwY+GPjvXvEun+L/h5pWveIfhnY+IfEOk2+o6NpXjOebxDea14q1I+JtY0Oez0i08OWthZT31vJ2Hiv8A4Ik/sweLIfiZo9x8YP2utJ8DfEzxXL8Q7j4XaJ8cUt/hj4V+Jt1rGjavf/Evw14NvPCV9pt14zvhpd5pkmoeNB4ws7XTdf1RNM0+wvLLwzeeHvuvwD+yd8Pfh58cvj5+0BpWv+OdR8b/ALRnhv4ceGPHdnrOo+H5vD1jZ/DHwsfCWh3fhqy0/wAMabqFjqGoaezXOtSanqusWtxqBMlhaabbYtBzqlNZZ7CclVxkMuz5QlNXpzzLH8LYXCYNVedTjWwtDiWGPxlBYlV4UcNiMPVr0Y82KyzDuUovEznTjKlh6jyyi4e0cqkMLheJcLiKsozupUsXLhuEsJXr4aVKpXxkMTGnWnGrhMdL41/4Jc+Jvi38VP8AgmN8JvEHgjXPhB8PPilrOo/ElNK1u6+Augj4VaQNM+OvjC0vTP8ABP4J+JP2eNHlbUPD1jeWaP4e8SeEnHiK9j8Vay2v3Calp+s/b3naL/0D9U/8HFp/8o6n/ZX/AGavAv7InwN8H/AD4bat4s1vwb4Jn8TXGlan44vtH1LxNcP4q8Va14v1EaheaDoPhrSpVh1LXbuCyFto1oY7GO2ina4uEluZsSvTx1WlXxderQTVKbpuCcXF2jhsFTleLcmv3lGtvJ3TT0Uko4UYShGop7yxWYVY2d/3VfM8yxNBaJWaw+Jw6cdXBpwbk4OUv4+f+DtB7J/+GAvsdvdQY/4ap8z7TeRXe/P/AAzhs2eVY2Xl7cNu3eZvyuNm07/sf/g1mk09f+CfnxhF3a3s8n/DY/xBKvb38FqgT/hSn7PeFMcunXjFwwYlxKoIKqIwVLN8Xf8AB2P/AM2C/wDd0/8A77lX2J/wa3/8o/8A4wf9nifED/1Sv7PlfW1/+SHwv/YXD/1OxZ8nR/5LHE/9g0//AFDwp/TB52i/9A/VP/Bxaf8Ayjo87Rf+gfqn/g4tP/lHWXRXw59idNo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3DN87Rf+gfqn/g4tP/AJR0aH/yGtH/AOwpp/8A6Vw1l0AannaL/wBA/VP/AAcWn/yjo87Rf+gfqn/g4tP/AJR1l0UAannaL/0D9U/8HFp/8o60tVl0gXMXmWOpM39m6OQU1W1jAQ6RYmJSraPIS6RlEkfcBI6tIscSsIk5mtTWP+PuH/sF6H/6ZdPoAPO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjrLooA1PO0X/oH6p/4OLT/wCUdaUsukf2RYk2OpGM6lqoRBqtqHVxbaP5jNJ/Y5VkZTEEQRIYykjNJIJFWLma1Jv+QLp//YU1j/0k0OgA87Rf+gfqn/g4tP8A5R0edov/AED9U/8ABxaf/KOsuigDU87Rf+gfqn/g4tP/AJR1k+A/FOkeK9A8R6omi6lp62mreMvDktu2u2t4Zk8HfEu78Hi7jmGgWghfUZNEj1MwtDOLRLh7DzLlkW+Z1ZngHxJ/wlXh/wAT6n9i+wfZdU8Y+G/I+0favM/4Q34nXHhD7b5vkW+3+0f7D/tD7P5bfY/tX2Tz7ryPtM2E5WxFCHteXnp4l+x5L+15I4d8/tPsew578t/3ntra+z09GhR58szKv9T9r7DE5RD699Y5PqX1mrmsfYfVr/7R/aP1fk9pZ/VPqHNdfWden87Rf+gfqn/g4tP/AJR0edov/QP1T/wcWn/yjrLorc841PO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjrLooA6bWJdIGr6qJbHUnkGpXwkePVbWNGcXMu9kjbR5WjRmyVRpZCoIUyORuOb52i/8AQP1T/wAHFp/8o6Nc/wCQ1rH/AGFNQ/8ASuasugDU87Rf+gfqn/g4tP8A5R0edov/AED9U/8ABxaf/KOsuigDpr6XSBbaPvsdSZTpspiC6raqUT+19VBWRjo7iRzIJHDqsQCMkfllo2lkzfO0X/oH6p/4OLT/AOUdGof8emh/9gub/wBPWsVl0AannaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdZdFAHTRS6R/ZF8RY6kIxqWlB0Oq2pdnNtrHlssn9jhVRVEodDE5kLxsskYjZZTR5dIOr6UIrHUkkOpWIjeTVbWRFc3MWxnjXR4mkRWwWRZYywBUSITuGbD/yBdQ/7Cmj/wDpJrlGh/8AIa0f/sKaf/6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXy/X0J4m8T+G/Bfh/WfFvjHxDofhPwr4d0661fxB4m8TatYaD4f0LSbKJp73VNZ1nVLi107TNOtIVaa6vb25gtreJWkllRASMb4f/ABJ+HXxY8NW3jP4WePvBXxL8H3lxd2dp4r+H/irQvGXhq6u7CZra/tbbXfDt/qWlz3FlcK0F3BFdNLbTK0Uyo4KgXvOaj7zpqEqij7zpxqNxpyqKN3TjUknGnKahGck4wc5JpD93kcvdVRyjTctFUlBKU4wbtzyhFqU1DncItSmoJpv8e/8AgoP/AMErv2fP+Clmn/Cu7+OvjH4y+E5Pghe+MLfwovwl8Q+CdCTUE+KEHhuXXz4hHjD4eePGu3s2+HGhjRzpraSLcXWq/bV1Az2hse9/YJ/YJ+D/APwTs+D/AIk+CnwU8SfErxR4V8UfErWPilqGofFLWPC+t+IIfEGt+F/B3hO6s7O68J+DvBGnR6NHp3gjSp7e3n0q4vUvbjUJJNQlgltra0++PiV4v/Zm+H3xc+F/jL4t/Ej4XfD/AOL8vhTx78MvhL/wnnxP0fwZrWu+G/iX4m+Fmq+OfD3hfwvrfiPS7PxZca14n+GvwuzcwaPqusaZd6bZ6dpN3p8Wv6ra6r3nxM+Mnwg+Cuk2GvfGP4q/Df4S6HquojSNL1r4meOfDHgPSdS1Y2096NLsNR8U6ppVneaibO1ubsWVvNJcm2t55/K8qGR16ZZhipYKOElipvARr+zhSc4fV1iYzc/ZRlype3jUqNuj7Z1VKavRXNFPnWBwyxcsTHDQWNlR55VVGft3QlBQ9o48zfsXCmkqvslTcYaVXZs8nor6YtLy01C0tb+wure+sb23gvLK9tJ4rm0u7S5iWa2urW5hZ4bi3uIXSWCeJ3ilidZI2ZWBNiueUZRlKMoyjKMpRlGUXGUZRbjKMoyUZRlGUZRlGUYyjKMoyjGUZRW8ZKSUotSjJKUZRalGUZJSjKMouUZRlGUZRlGUoyjKMoyaab+c9D/5DWj/APYU0/8A9K4ay6+oKKQz5for6gry7x58cPgt8LNa8L+G/id8X/hd8OfEXji4Nn4K0Hx54/8ACfhDWvGF2t3Z2DWvhfS/EGradfeILhb7UdPsjBpMF3KLu+s7cr511Aji1lCC1nUnGnTgtZ1Kk9IU6cVeVSpNpqFOnGdSTTUYSaaQ9Izk9I04SqVJPSNOnHWVSpJ2jCnFaynOUIRWspxWp5hWprH/AB9w/wDYL0P/ANMun19GV89/Azxf+zN5vjj4Xfs//Ej4XeJtR8MeO/iX42+IfgzwR8T9H8feIfCvjr4q/FDxj8Q/iNe+KdOg8R6/rnhq41v4n+J/GN9JpOorYWGj309zoGjWGmabplrpVkL3pckfenySqckdZ+zg0p1ORXl7ODlFTqcvs4OUVOcHKKY9I8z0jzxp8z0j7Sd3CnzO0faTUZOEObnmk3GErO2HRW/cftZ/srWnjs/C67/aY/Z+tfiaPEcPg4/Dq4+M3w5h8djxdcX0emQeFT4Rk8SL4g/4SOfUpYtPh0P+z/7TlvpI7RLVrh1jP0DQvehCrH3qdS/s6kfep1LWb5Kkb052Uot8lSdlKN7c0eYfuzlTl7tSKTlTl7tSKbsnKErTim00nKEU2mk21Y+X61Jv+QLp/wD2FNY/9JNDr6MooA+X6K+oKhuLiC0gnurqeG2tbaGS4ubm4kSGC3ghRpJp55pGWOKGKNWkkkkZUjRWZmCgmlKUYxlKUoxjGMpSlKSjGMYpylKUpOMYxjGMpSlKUYxjGUpSjGMpJpOTUYpylJqMYxTlKUpNRjGMYqUpSlKUYxjGMpSlJRim2k/mWszwD4k/4Srw/wCJ9T+xfYPsuqeMfDfkfaPtXmf8Ib8Trjwh9t83yLfb/aP9h/2h9n8tvsf2r7J5915H2mb2j4ZfGj4O/GvTdR1n4N/Fj4afFrR9Hvk0zV9W+GXjvwt4803S9Se3S7TTtRvvCuq6ra2N89rLHcpaXMsVw1vIkwjMbqxqfFbTvhFZW/g/4q/GHUvDnhvSfgL4qvvid4b8b+LvFZ8H+G/AniPU/APjj4R3viLV9UutX0jQZLafwR8UvGXhv7P4ne80aOXxBHqENrHrlho2oWM1IzpzhUnU9jShTnKpGpFQjONSNL2NV1KnJyQhacoyT5Kqqr32oxb3o1KEsNiaCw3t8VVrYX6tiYVZt4ZYeeLeMoewpqca08UquGhJztUwzwbcYXrVFHzWivYvFvxW+F3gHwSvxL8d/EnwD4K+HLw6Vcp4/wDFvjHw74c8Etb689vHodwvirWNRs9CaHWZLu0j0qUX5j1F7q3SzaZpow3QeFvFXhfxx4d0fxf4K8SaB4w8J+IbGHU9A8T+FtY07xB4d1zTbgbrfUdH1rSbi703U7GdQWhu7K5nt5RykjCtHGSdWLjJSoTVOtFxalRqS5uWnWi0pUakuSfLTqqlOXJO0HyT5OZSi1TkpRca0HUoyTTVWmuW86TTaqwXPC86TqQXPC81zx5vn2ivqCikM+c9c/5DWsf9hTUP/SuasuvqCigD5for1j4mfGT4QfBXSbDXvjH8Vfhv8JdD1XURpGl618TPHPhjwHpOpasbae9Gl2Go+KdU0qzvNRNna3N2LK3mkuTbW88/leVDI6+gWl5aahaWt/YXVvfWN7bwXlle2k8VzaXdpcxLNbXVrcws8Nxb3ELpLBPE7xSxOskbMrAkXvKUo+9GE/ZzlH3owqcqn7Oco3jGpyNT9nJxqcjU+Tkamx+64xlpKUPaRi9JSp8zh7SMXZyp86cOeKlDnThz8ycV896h/wAemh/9gub/ANPWsVl132h/8KS+HfxQ8X+GtK8Q+EPD/wAXvj5rn/C4fEXg688aQv408eaj4Z8AeBPhLN4y0fwbq2tT6kukaR4G+GPgnw7fP4X0m08PwPoZ1G9g/tvUdY1C/wALx5+1h+yz8LPE934J+J37S3wA+HHjOwis5r7wj48+Mnw68IeJ7KHUbeO80+a70DxD4j07VbaK+tJobqzkmtES5t5Y54C8UisRNSdOMWpSqznTpRi1KVWpTmqdSnSjG8qs6dRqnUhSVSdObUKkITag3Z+/o/3cYSqaP93GqlKlKenuRqRalTlPkjUTTpyqJpvnqK+nkdJEWSNldHVXR0YMjowDKyspIZWBBVgSCCCDg06jbR6NaNPRprRpp6pp6NPYlNSSlFqUZJSjKLUoyjJKUZRlFtSjJNNNNpppptNN/OcP/IF1D/sKaP8A+kmuUaH/AMhrR/8AsKaf/wClcNfRlFAwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/G7/gsko17wb+xT8MNbBuPht8W/29/2fvBPxS0qa6hg0vxD4Qnv9WvZdB1uCVSL3Srq7tYL2WF2+zJcafbTzo7RQlM79gvwzoHwl/4KPf8ABTr4K/Cvwxo/g74MaLF+zJ4x0vwf4Ts7LRfBnhLxh4n+G0s+uQaD4b0mG10fRG15muJ7u3sLS3RRo1tDsVIEVf0h/ab/AGZ/hh+1n8JtW+D/AMVrfW00S9v9M17RfEXhTVm0Dxp4I8XaFM114e8aeC9eFvdrpPiXQbpnmsbi4sr+wmjkuLHU9O1DTbu7sp/nLwJ/wTd+GHw1+DnxX+F/gz43ftU6N40+NvifQ/FnxM/aet/jIw/ak8S6n4cv7W60WK4+KY8OCGCwstPtpPD32W38ORC40PUNVhunnv8AUbrUHWBbws8ZKcf4k85kuSSvjoZ3geEMuoU8RdJ045E8jzDG0lOVSNaNahSwapYiviuasWo4mODgpWUaOWUZucZNYKeWZ5necVsVRSblUqZnh8ww+WyVJ0pQTryxUqmFp0qcvyX+Onwz+HPx5/aJ/wCC6HiD43+E/DvjPXvgV+zL8ObD4KX3i220jWb34cWUXwT8ZeNItT8Cz3ttLN4XvpvFenWGovfaU1rqCz6lfWs9y41a6SfI/Zu8OaJ+1v8AtY/sf+Dv2rfC2kfEnwroH/BHfwn440Dw58R49M8U6PL4t8SeJ9I8N6v4+XTtbt7uFfE+qeG0h1FtZlR9TtrizsdVtbmB9NtZIf1r/aN/4JdfAD9pf4gD4keJ/HHx98B67rvg7RPh98W7T4S/FF/BWjftB+CvD1xZS6X4d+N1h/Yept4rs4YbR7GSfTLjw/qFxZ3RWe9kn03QZ9I6P9o3/gm98Bv2h4vhfPbeI/jB+z/4l+EHg26+GXgzxv8As2ePE+Gni6D4U3mmf2Vc/C3Ur+50XxHZal4Hkt1iYabPp32uJknt4dQjsNU1mz1LmjQlTy9YZKFSccG8sjT1hShWhkHiLky4kg3ZrF4jE8W5bjp0Glj6caeZf7V9doZbWd1ant69epzTwzxE/rqrxcalfDxqV/Dqu8kjaynh8O+Es0Ua7bwNSrXwLjh1Qr5kpeN/8ER9f8Q69/wTi+Ca69Jd3MWgav8AE/wr4bvb26kvJbvwp4f+Jfimw0NY5pGYi00uCN9CsYVIjgs9JghiVY0UD9Y68v8Agt8G/h5+z58LPBXwa+FOhJ4b8AeANGi0Tw9pQnnu5kgEst1d3l9e3LyXN/qmqahc3ep6pf3DtNe6jeXNzIQ0pA9Qr1sfWhiMZXq05TqQk6UVVqR5Klf2OGweGliKkLvkqYmeFniZx+zKvy2TUkuPDwcKbvSp4fnr4yvHDUpc9LCwxePzDG0sHSnaKlSwdLG0sHTkoxjKGFThFQcEFFFFcZuFfzE/HT4Z/Dn48/tE/wDBdDxB8b/Cfh3xnr3wK/Zl+HNh8FL7xbbaRrN78OLKL4J+MvGkWp+BZ722lm8L303ivTrDUXvtKa11BZ9SvrWe5catdJP/AE7V+c/7Tf8AwTE+AH7UvxNu/ir4n8X/ABz+G+u+KPDGmeCPi3pPwX+Jb+AvDPx58FaNe2t3pfhT4xaT/YurN4k0myht30yM6ZdaDqEmm3CxT38s+maDcaTx4nDzrzai4RVbLc5y1V5N82BrZph8tpUMypxinUnLC/Ua9GpGg6eK9hjqrw1RT9pCp14evCjG8oyk6WYZJmDpRStjKOU5nLHYnLpyk1ThDH0pKlzVlOgpRtXi6fLbyvTPiX8SY/8AgidD8T2v9WtfiVB+wHLrcGu/2ky64dStvhDIll4oGqXHmSjVLm0jg18XZY3Bupg8TrOUcfnB8DPhz8NfgD8Vv+CEfjn4NeEPC/hHxJ8ZvgJ8Uovjfq/hyHStCvPH+kXPwR8J+Mdb1r4g6hZR2sviF9A1zVNY1iK+1+e6ewOlWtoJo4NLgjg/fOP9ljwRD44s/EMHi74oQ/Dmy+Bf/DPkX7NMfi9f+GapPBg3W66tcfDF9McTeMU0Vh4YXX31k58OqunNZsQZj88/s1/8EvP2ev2Yfihp3xV8MeLPjl8Q9T8HaF4g8K/Bzwz8Y/iZJ488F/AHwr4ovLu51zw58HNEfRtNm8PadfWt0dJlk1fUPEOovp0bb79r+/1a+1H1a9d1s6zHM6TdD67j45lSqTip1qccHh+PsFDLcTGlpOlm9TiTKs4xUsPL6tQq/wBo4atSq4jDYCqeXCg6eT4PLZWqywuCxuCnGL5KNSeZ4fhhxxtJ1YycKmR1MnxmFwqnTVavyYGvhXQoVcRTp/h38CZ/il+zVffD/wDa+/aA/Zm/YL/aB+EX7Tf7cGuXEfxT8M3Pgn40/tT+APG3xK8darF4a8R+Ffiv4SuvG3wom8P+EPEHhuXVdJ8PeA9d1bXrTWRd6dd3vhXXLi6u9K/rir8svBn/AASD/ZX8EfFvQ/iRp/iD456n4L8IfEu6+MfgL9mrXPifJffsz+APidcSLcw+MvCfw2j0S2vLTVNPvfNvLJL7xLqNkPPewurS60eO2023/U2saThDLcFhVGUJYb2dKhRk1KWEwFDKskwFDCYivTcMPj8THE5di6/16jhcNKeEqYWjiFXxHtalLevzVMyxuJTTp4iVepKaulXxFfNs3xvtqFGo6tfBYeOCxmAw0sHVxWIisXh61ah7KhGkqpRRRUFBX5R/8FtfEniHwz/wTY/aBn8OXl3YTawfh74X1e5srtLOb/hGvE3xH8K6P4htJJCC8lpqml3dxpN/bRFHubG+uIHYwPMjfq5Xm/xg+EngD48fDLxp8H/iloMPibwB8QNDufD/AIl0aWe4tWubK4KSRzWt7Zyw3mn6jYXcNvqGmajZzQ3en6ja2t7ayxzwRuOfFU5VKNo0qeIcK2DrvDVpclHFwwmYZdjquCqztJQpY2jga2CqSlGUYwxbc4ygpo68DWhQxdGrUcowi6ilOEeadL2uHxVCNaEbrmnQliIV4xTvJ0bL3nFP8cPgn8M/h9+zr/wV98N/DP8AZ+8F+HfAvw48df8ABObSPEfjzw54Js9O0Tw/d654c+KMmk6B421bS9GhtbK/8RXVnb2lhPrl1DJqGotrV5f3FxNPfTzSaH/Bc34D+I/iB+yb8WPixqnxs8f6T8O/hP4C0G+0r4DeGI9M0Xwb4u+Id58RNGsP+Ez+JGsrFca14v07StI1OzHhzwc/2DTtE8RaPaeJIr2eWe9sLj6s+Bv/AATL+EPwF0j4rnw/8Yf2nvFvxI+K3w2j+ET/AB6+IPxci8QfG34dfDu00/7Ho3hr4UeLrTwxpFh4LsvD1ysOsaE0Og3s1jqlpp7eZLYadYWFv7h8T/2SPBnxi/ZPv/2Q/iF8QPi74k8Hav4N8OeDNc+I2reK9K1j4ya9B4a1HSNUg17W/F+t+GtU0vVPE+p3mjW8ms6pd+GpUvTNdOlrBLIkkVZtTni8vjQo1JVcVhXiKuGrV7R9pUx/EWd5v7OS96lD+yMHj6WHoyqU50p4uvVrZfTo08Fg5UebKGsFiqE8QkqE6GXYPGKn705wyzh7Kspr4uT0nOedYvCVa1WFOpDEQw9CEcdiK1TGYhT/ACj/AGg/D2g/FT9ov/giN8EfidoeleL/AINeJfh58QvF/iLwN4ot9N1fwd4o8VeDv2f/AA9deFV8QeG9Ut7mx1oadcTSJbW+ow3NpPFql7ZLA32u4WT3v/gj/br4Z0/9vH4WeHrJbD4W/Cn9vv46+Ffhdp9rMH0fQfDwm0m5m8L6DbRkW1hpOkzNFeQ2lokcCTaxO6oGdifrv4+fsKfCH9oT4YfCP4c+IfEfxU8D6x8B5PD9x8IfjH8KvGUXgj4z+Ar3QdIstAlvtB8XW2j3dhbz6/o9jFZa9G+gSWk7eVfWFrp2p2Ol3th6X+zD+zF8MP2SvhZafCj4WJ4gu9NOs6t4p8S+KvGWst4j8c+PfGniCZJ/EHjXxt4gNtZJq3iTWpYoTeXNvY2FlHFBBbWVhaWsEUK+pPEU5Y7P8RG6pY3G8U1MOlG31+GfcYYDiHA4zFRupUK+V4DBTy+NOs60+apRjh5xw31iC4YUakcFkmHkouphMv4WoV7yTWCq5BkWc5ZjqWGlZ+2hm2IzShVnOl7Kn7PCTliITqfVFD6GooorhOwKKKKAPwv+N/w4+H37RH/BZDT/AIU/Hzwn4d+IXwx8E/8ABPXxJ4u8G+EfHFppGveGbLxV4k+KUWga/wCJ7HRdVtbi0ttej0YskWqNG2oWT6Rp+p2lxbvplrJD7Z/wRI1/xDr/APwTh+Cia7Ldzx6Bq/xQ8K+G769uZLyW68K+H/iV4p0/QljllZiLTSoI20KxhUiKCz0mCGJVjRQPoH9rP9gP4Sftda/4O8beIfHHxr+DfxL8E6NrvhTTfij+z38QI/hz481DwL4mhnj17wBrup3OieIrHVfCGpTTtdzafNpi3UczXMFvfQ6fqmsWWo9b4O/Y3+HnwzX9m7SfhT44+Mfwt8AfszaX4j0rw98JvAvxAn0v4afEmDxNZiC7uPjT4fudOv7n4hX1lqDXfiLTLy41PT5rbxFqOoanI07XBiVYBKjhKuGrXp+2pRwM/ZtyhP8A4yfiXiKWdT5OSo8S8JmuByf2KbxanCdWNb6lhqEYmO/f4iFemuf2cqGLhz+7Km8PwvguH5ZTScublo4rGUquazrtrCxVGkp0ZYyq5w/I/wADfAfxF8Ef+C2XwOn8dfGvx/8AHz4h/Ej9l74t+NPF/jnx0mmaZaWs7614j03TfC/gLwhosS6X4F8CaJYWaNpnhi0udRSHUr3V78Xuy/jtLT5c+M9j8WvA3xf/AG+P+CgHjD9nT/gn7+1t+zr4e/aG8PeDvF+ifFDVvAvxm+NejeB/hy3h/wCHVnafDTUPC15438CfCrVpNK1jRrnxP4c+IkEPxCsri1sZtX8COLe0hu/6MPEH7Knw88SftWeAf2v77WfGcXxL+HPww174T6JodpqOhx+Brrw74ivtR1C9vdV0ybw7Pr8+tRTanOtrc2niaxsUiSFZtNndXeT5P+Jv/BIn9lz4qfFzxl8Tdb8S/HjRfC3xP8ZaP8Q/i9+z14R+Kc/h79nj4ueONGujfp4n8f8AgO30aTVNS1W91ERalezad4o0pP7QiN5ZR2c93qD3meFVajHJYxnCjUy+ln+GhVlTWIoYOlmHFWW5nh5TwkXRqY2nUyTBV6ElhsZhMbQzGtCtPFylXxmLjrXlTqVM2qyjUqLH1cgxNSFOo8NXxVXL8jzHC4uFPEpyp4KazXE4KrSdbDYjBSwmF5YYSn9WwdF/pV4T16x8U+FvDXifS7e5tNM8R+H9G17TrS9t/sd5a2Or6dbahaW93aZP2W5ht7iOKe3yfIlV4snbW/UUEEFrBDbW0MVvbW8UcFvbwRpDBBBCgjihhijCxxRRRqqRxoqoiKFUBQBUtdVeVKdetOhCdOjOtWlRp1J+1qU6Mq1WVGnUq2XtalOlKlTnUsvaThOpZe0suXDwqU8PQp1ZQnVp0KFOrOlBUqU6tOjRhVnTpJJUqc6sKkqdJJKnTlTppJU0kUUUVkahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/2Q==
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAr5e+NH7cH7Fn7N/im08DftEftffsu/AXxtqGi23iOw8H/ABo+P/wo+Fvim98PXt3e2Fnr1p4f8ceLdC1a50W7vtN1GzttUhtHsZ7vT723inea1nSP6hr85f8AgqH/AMm9fCv/ALPu/wCCcH/rd/7PdOEZVMTgaEXGMcVmOX4GcpRlKUI5hjsLgI1IJSinKjPFKtKM7qpCm6acJzVSGkIxcMTKXNejgcxxcOVxScsvyzNMz5J8yb5ascrlQvBqVOVeNX340pUqv2p8KfjD8JPjv4I0v4mfA/4pfDn4y/DfW5tQt9F+IHwp8b+GfiJ4I1e40m/uNL1WDS/FfhDU9Y0G/m0zU7S607UIrS/leyv7a4tLlYriGSNfRq/EP9vX9o/9ojwj8TP2y2+Gv7S0v7OWg/sL/sEeDv2w/DHhKHwN8IvFGg/tC+M/Eeu/tDSX+j/Gq8+JXgDxx4wX4MaYvwF8O+BxpvwI8QfB74kjVPHvii6k8ey3snghNK8Z+PP7V37Wmm+L/wBu/wCLfhT9qyT4b6d+xre/sZ658P8A9kBvhl8Cda0n4lXnx18AfCfXtf8AhZ8WfEGv+E9Y+Meoj4s+KtY1r4afBJ/hl45+FmvaH8TdW1ma98VfEjSItE8F+E3Q5MVUwcaXNTjja0IU/bNTdKlVr0MHQxFWeHhKnOOIxdVwWGw7qY7DQ5ZYzDUm4xrxiYTwlKvUquNR0KPtHGipRdWoqMMbPDUo1uVudHAVqOIniZN4GvP2uHwuIqYmDoR/f/wt4x8I+OdMn1vwT4q8OeMdGttb8R+GrnV/C2uaZ4g0y38R+Dtf1Lwp4u8Pz3+k3V3aRa34W8U6Nq/hrxHpUkq3+h6/pWpaPqcFrqNjdW0XR1+Afwt/aR/am/aa8efCn4B3v7UXjH9nCPxR4o/4KqeNNQ+Nnw+8A/s333xC8Vab+yV+29cfAL4U/Bnw7afGT4U/E34W2fh/wR8NvE1n4h+ImpR/DDU/H/iO38NeFb0eONIaXxnqPiD9rvgr4g/4Sv4Q/DHxGfil4H+N8ms+BPC9/cfGP4aWenaf8PvijdT6NaNd+PvBenaR4o8baVp3hrxVdedrWkafp3jDxPZWNleRWttrmpxRLdyuEHPDwxOkYVIYedOLanOdOrSw3PWfsueFCMcXVq4aNHEzp4iTpqdONalapUddexxWIwt3KWHxOKw1WSjOMYVKFXE+zpqVWFL6w6mFoxxDq4aM6UHJ0q0MPWjVpYfkvjT+1X+y9+zbd+FLD9on9pH4CfAO+8eSX8Pgey+NPxh+Hnwsu/Gculy6fDqcXhS28c+ItCm8RSadNq2lRX6aQl41nLqenx3Aje9thIzxr+1f+y18Nvin4Q+BnxF/aU+APgH42fEFNGk8A/B7xr8Y/h34W+KfjdPEepXOjeHn8IfD7XPEdh4t8Spr2sWV5pWjNoukXo1TUrS5sbEz3UEsSfnN+2P4g+O/we/aI/aJ/bG+Evxc/ZVv9G/ZR/YP0jXfFH7PXjXQ/HPxL+O+vaBb+LvjD8VvGmi6bp/hT4ufC3Sv2fLL49Q/DfwP4Q+H3xe8Q+G/jnHq/iL4e60V+GWo2/g2TTdb5zXPiB8e/gh8ff2jv2uPDXxE/Zo+Inwr+IX7Sv7Ev7P3jD9nrQvDvjvx5+0v4V0nxvpfwF+E2j+CvEPxH074t+G/BnwM8c/DrxZ8evGfx3m+FGo/Af4p3ni/wX4isZZvF3hGTxzFrXhgwUJYp4JTjye3xdahiLSUfYxxNdYXIKSco1Up5tXlByxr9vg8NzOhVpYea9u3iac6McTKm6cvZ0MN9X5p61sQsHHMM1Uo2ouLyzCNzeDm8PVxSi6uFx2Kb+qr9uqKKKggKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuc8UeDvCPjjTrXSPGvhXw54w0mw17w34psdL8UaHpniDTrPxP4N17T/FXhDxHa2WrWt3bW+veFfE+kaT4j8N6vDEmoaHr2mafrGmXFrqFlbXEXR15R471HULPV7aK0v721jbTYZGjt7qeBC5ubxS5SKRVLlVVSxGSFUE4AwLRxa0cZRnFrRxnCSnCcWrOM4TjGcJRcZQnGM4SjKMZRO/nGUX5xnCdOcX3jOnUqU5xd4zhUqQnGUJzhPO+J37N/7PHxs8SfD7xl8ZvgL8F/i54v+EurHX/hV4q+J3wu8D+PfEnwz11r7S9TOtfD7XPFWhatqngzVjqWh6JqB1Hw5dabeG+0fS7szefp9pJD4R4d/YK+BkH7U3xc/a0+IXgP4T/Fb4n+M/G/gTxr8J/E3jP4O+D9W8e/s+3fhD4TeDfhfqcXw8+I2t/274h0y48Unwdaa9f6h4aXwhJGZLfTbiHUTYR6hL6n/bmtf9BjVP8AwYXf/wAergdV/aH+F39qal9m+OXgH7N9vvPs/kfEzw75HkfaJPK8ny9b8vyvL2+Xs+TZjb8uK68DlmYYyrGtleXZjjKmCeLlGWXYDMMYsJUzWlQoYuvy4DBYqOGxOMpYGlTeKaw+KqRozUMTUTrJ8ePzPLsHT9lmmZZdg6eLjh6ajmWYYDB/WaWX16mJoUIvMMdhXXw2GxGKnWeGh7bDQqVYTqYeEvZzPRfiD+yN+yj8WvA1t8MPir+zH+z18TPhrZeNNd+JNn8PPiD8Fvhv4z8DWnxE8Uanr+teJvH1t4S8R+GtS0CDxp4i1nxX4o1bXfFMWnprmr6n4k1+/wBQvri61jUZbn3qwsLDSrCy0vS7K003TNNtLaw07TrC2hs7CwsLOFLe0srK0t0jt7W0tbeOOC2toI44YIY0iiRUVVHxj/w0P8NP+i5eBv8Aw5mgf/Luj/hof4af9Fy8Df8AhzNA/wDl3XcuHOI4xlGPDvEMYznCpOMcgz6MZ1KdGnh6dScY5JGM6lPD0qWHpznGU4YelSoQnChTp0afFLiXhyclOfEfD05xVSMZz4gyKc4xq1pYirGM5Z5KUY1cROeIqxjKMauInOvUjUrznWl7Z8Rv2aP2cPjD43+H3xM+Ln7P/wAEvil8SPhLf2+q/Cr4g/Eb4U+BPG/jf4Z6paarZa5aal8PvFfibQdT17wZf2ut6bp2sW954cv9NuIdVsLLUI5Fu7WCaM1L9mj9nDWPjTov7SWr/s//AAS1X9onw3pp0Xw78e9S+FPgS++NOgaO2m6no7aTovxSutBl8c6Xpp0jW9Z0o2FjrsFqdN1fU7ExfZb+6il8ij/aH+F39l3m745eAftP2/TfKz8TPDvn+R9n1X7R5edb8zyvM+zedt+Tf5G/5vLqh/w0P8NP+i5eBv8Aw5mgf/LunDhziOn7P2fD3EMPZVMRWpcmQZ9D2VbFwdLF1aXJkkPZVcXSbpYurT9nVxVNuniqmJpt02pcScNz51PiLh6aqUqdCop8QZDNVKFGftKNGop55L2lGjU/eUaM+ejSqfvKVKlP3z7Zor4m/wCGh/hp/wBFy8Df+HM0D/5d0f8ADQ/w0/6Ll4G/8OZoH/y7pf6ucR/9E7xD/wCGDPf/AJyB/rJw5/0UfD3/AIkGQ/8Az8PtmivjXVf2h/hd/ampfZvjl4B+zfb7z7P5HxM8O+R5H2iTyvJ8vW/L8ry9vl7Pk2Y2/LiqH/DQ/wANP+i5eBv/AA5mgf8Ay7o/1c4j/wCid4h/8MGe/wDzkD/WThz/AKKPh7/xIMh/+fh9s0V8Tf8ADQ/w0/6Ll4G/8OZoH/y7q/H+0P8AC7+y7zd8cvAP2n7fpvlZ+Jnh3z/I+z6r9o8vOt+Z5XmfZvO2/Jv8jf8AN5dH+rnEf/RO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/wA/D7Kor4m/4aH+Gn/RcvA3/hzNA/8Al3R/w0P8NP8AouXgb/w5mgf/AC7o/wBXOI/+id4h/wDDBnv/AM5A/wBZOHP+ij4e/wDEgyH/AOfh9s0V8Tf8ND/DT/ouXgb/AMOZoH/y7q/qv7Q/wu/tTUvs3xy8A/Zvt959n8j4meHfI8j7RJ5Xk+Xrfl+V5e3y9nybMbflxR/q5xH/ANE7xD/4YM9/+cgf6ycOf9FHw9/4kGQ//Pw+yqK+Jv8Ahof4af8ARcvA3/hzNA/+XdH/AA0P8NP+i5eBv/DmaB/8u6P9XOI/+id4h/8ADBnv/wA5A/1k4c/6KPh7/wASDIf/AJ+H2zRXxrH+0P8AC7+y7zd8cvAP2n7fpvlZ+Jnh3z/I+z6r9o8vOt+Z5XmfZvO2/Jv8jf8AN5dUP+Gh/hp/0XLwN/4czQP/AJd0f6ucR/8ARO8Q/wDhgz3/AOcgf6ycOf8ARR8Pf+JBkP8A8/D7Zor4m/4aH+Gn/RcvA3/hzNA/+XdH/DQ/w0/6Ll4G/wDDmaB/8u6P9XOI/wDoneIf/DBnv/zkD/WThz/oo+Hv/EgyH/5+H2zRXwv44/ad+HeiyXN5o/xa8F64s3i3QdIjstN+JuhgQaZr/i/TNCvNYQ2uo3g+weHtL1K41+5CxJbmw0yYS3Vjbl723v8A/DQ/w0/6Ll4G/wDDmaB/8u6yjkWfTrVcPHIc/lWoQoTrU1kOeuVOGJVaVCUl/Yt0qqw9ZwbSUlTnZys7dVTN8lpYPCY+pnuQRwmOq46hhK74gyDkrVctng6eOhH/AIXL3w88wwcZ3614W6n2zRXxN/w0P8NP+i5eBv8Aw5mgf/Lur8f7Q/wu/su83fHLwD9p+36b5WfiZ4d8/wAj7Pqv2jy8635nleZ9m87b8m/yN/zeXWv+rnEf/RO8Q/8Ahgz3/wCchy/6ycOf9FHw9/4kGQ//AD8Psqivib/hof4af9Fy8Df+HM0D/wCXdH/DQ/w0/wCi5eBv/DmaB/8ALuj/AFc4j/6J3iH/AMMGe/8AzkD/AFk4c/6KPh7/AMSDIf8A5+H2zRXxrpX7Q/wu/tTTftPxy8A/Zvt9n9o8/wCJnh3yPI+0R+b53ma35fleXu8zf8mzO75c1Q/4aH+Gn/RcvA3/AIczQP8A5d0f6ucR/wDRO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/z8Ptmivib/AIaH+Gn/AEXLwN/4czQP/l3R/wAND/DT/ouXgb/w5mgf/Luj/VziP/oneIf/AAwZ7/8AOQP9ZOHP+ij4e/8AEgyH/wCfh9s0V846X4zXxD4W0nXfD3itdc0y/wBS1qO21nRtdGp2F6lmumW8iQajY3U9vcJa3a3cDrHM4guVuImCyiVa1NH1jV5dX0qKXVdSkjk1Kxjkjkvrp0kR7mJXR0aUqyMpKsrAhgSCCDXk1KdSjUqUa1OpRrUpyp1aVanUpVaVSDcZ06tKrClVp1ISTjOnUp05wknGcIyTivXp1adanTrUalOtRqwjUpVqNSnWpVac0pQqUqtKpVpVac4tShUp1alOcWpQnKLUn71RRRUFhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV8z/ALXv7UvgD9jb4B+Nvj38REk1DS/CtvbW+j+GLLVNF0vW/GfibU51tdH8M6C+uX1jb3F9cyGW+vI7X7dqFpoWn6xqtrpepNpzWcuVevSw1KdetLkp00nJ2lJtuUYRjCEFKc6lSc4U6dOEZTqVKkIQTlJW0o0alerCjSjzVKkuWMbqKvaUm5Sk1GEIQhOc5zlGEKdOc5yUYNn0xRXzbYftd/s1r8Jvh98Z/FHx7+B3gzwH8R7SMeHfFGv/ABg8BWHhHUtdggkOueGtF8W6jrOnaNrureHb621DTdWtLGX7ZZ3em3sV5Z2k1vPDF6b4z+MHwk+HPg2z+IvxC+KXw68CfD7UTpg0/wAd+M/G/hnwv4NvjrcJudGFn4n1vU7HRLk6vbgz6YIL5zfwgy2vmp81dFenPDVMRSr8sJYXEyweIbnBwpYmE+R0ZVYydL2knyunH2idaFSjVoxq0q9CpWwo1I4iFGpSvOOIoRxNFcs1OdBx5nVVKUVVUYe9Gq3T/c1KdalWdKrQr06PotFec6f8YfhJq3w4l+MWlfFL4c6n8I4NM1LW5/inp/jfwze/DiHRtHmubbV9Xl8cW2pyeGY9M0q4s7yDUr99UFpYzWlzFdSxPBKqfLX7Sf7enwr+Dn7InxV/a4+EOq/D/wDaa8MfC+78P6bcWHw3+K/hy60HUtX1rxb4U8M3OkTeOfDFl470/SdS0q28WWesT2cml3l08H2aGSG2jvoruPCvUhh4Vp1uaCw/sfbpwm50frFajh6Dq04wdSkqtbEUoU5VIU4yc/dckpW2o05YipQp0eWcsTOVPD+/BRrVIRqTnCnOUlTnKEaVRzUJzcOV86ifddFeI/DD9on4NfFfUE8KeFPih8MtY+Jth4Z03xJ4v+Fnh74h+FfEnjvwRDe22mSXUXiTw1pt+fEGlxadd6tZafcXeqaPpyC5ubVJIoJbqKE62mfHr4Ga18SNR+DmjfGj4T6t8XtIF0dW+FemfEXwff8AxI0sWNtFeXp1HwPa6xL4nshZ2k8N1dG50uIW9tNFPLsikRj01aNSjXlhqkbVoyxEOSLjUc3hKuIo4mVF03ONelRqYXERnWoOtRiqM5OrGMZSjhTq06tGOIhK9GUMPPnknDkWKpUK2HjVVRQlRqVqeJoShSrKlVk6sIqnKTSfrFeN/EP/AJDVr/2C4P8A0rvabYftHfs86r40h+G2l/Hj4M6l8RLjxH4h8H2/gGw+KPgi88aT+LfCMEdz4s8LQ+FrfXJNcl8R+GLaaG48Q6Ili2p6LBLHLqVrbRyKxd8Q/wDkNWv/AGC4P/Su9rJawhUWtOor06i1hUS5W3CavCaSnBtwnNJTg21zw5tH7s5U3pUhbng9Jw5k3Hng7ThzJNx54Ruk2rpNrg6/mXr+miv5l6/sj6Jf/Ne/92z/AO9w/jP6XH/NA/8Adzf+8MKKKK/sg/jMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAQnAz7gfmQP60tITgZ9wPzIH9aWvMw9fnzbNcP9e9t9XwuSVP7P8Aq3s/qH1qlnEvrH1qy+s/2p9W9p7K7+p/2dy2j9b193GYT2XDvD+N/sn6t9czDimj/bP132v9sfUMRw1D6n/Z/M/qH9g/XvY+35Y/2n/bftLy/s68SiiivTPCCiiigAooooAKKKKAP3i/Y/8A+TVvhV/2FPiN/wCpheV9NaH/AMhrR/8AsKaf/wClcNfMv7H/APyat8Kv+wp8Rv8A1MLyvprQ/wDkNaP/ANhTT/8A0rhr/KHxF/5OBxx/2V3Ef/q3xZ/rL4c/8m+4G/7JDhz/ANVGEPoyiiivjT7MKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvzE/4LI+B7fxz/AME4f2lYf+EUtPFeqeGPDGk+NNESbR7bV73QLrw74m0a51XxPpHnwTzaZe6R4XfxA9zqtiYbq10aXVUMy2k10r/p3RXLjcN9cwlbDc/s3VjDlqcvN7OdOth68JqN4tuM8OvhnCS5m4zjJJnTg8R9UxVDE8ntFRqc0qfNyqpFwrU5wbtJJShWkneMouyUoyi5Rf8AE1+0NrHwG8UfFT9nP4w6L8UPAn7O/wCxfrH7IieB/hF47vv2DfDn7SXwnT4ueFvGmpX3xi+HcPwV+IHhKDQPB/xH1bxjJqes3vjzSfDzXGpoY7r+25NH8Qajqz+sfEqfw18Ef2Wf+Cavw1+Mlmtr8Lddtv2itb8MftMftl/sv+MvGS/AnTPF6Xb+EtIt/wBkf4cfFb4mfDPxj4zv9Pu49Y+HFh8Wbv4g6No+gzaRqtl4Z8PW9lq1vpv9htFd1SaqzxDlH3MTnH9pVafNK1SjPNc8zmrh5zT9oq9PGZ9WpYPFUJ4b6vgcBl+FqRmpY+VfjpQdNUFzvmoZYsBColHnjOnlmW5PTrRjJSpShUwWWqpjKGIp4hYjHY/H4lOKlhVR/il+GXhPXI/+CeXiOLxLpfi/x18GPgx/wV4j8ZftVeBbP4X6h4F1Kw+A3hrw/wCHZfFt3r/wW0aWxj8C+GYpFTWNd8AWFjb6V4OvLiOzMdlF4cmvrX6w/aq8d/sGfEf9gf8A4KPeLv2DPgl4m8IeENS039nKy8efF3w74A8QfCz9nnx54g0X4p+Ao9K8L/DzwRruqaFa2Hi3wnYahdTeMf7B+EvhRfM1KDVNb1XVJfEGk3uqf1VUVz4iDxOGxOHlLldengV7aEY060q2GyvhHK6/1qpTUXicJUhwjh8ThsHanDDVsdiKMpVMLSoxe+HqfV8VhMUoqTw+KxFd0W5SoezrZ1m+dwjh6c3JUMTCtnOIw0sW3Oc8PQw9Xk+uPESrfzZeMvgV8OvgZ+3l/wAEnNP/AGb/AIceBPhN4h8bfs6ftFWepXXg7QrHws3i/XLD9n138PX/AI71PSIINQ8U3sOrXpurzWtfn1PV7mWSS6uru4uArj8r/wBjX4UQ6j8W/wBmb4Xat8dPHXh79r3wJ+06mu+OPgb4N/4J8/Dy5+Mvw61Lwr411nV/EXi/4uftb6r4w+HfjPxL8KNQ0m8ubnxGNT8UeMnsNP1mxsf+Fc6zYaPoyV/c7RXdHE8uaRzFQ0hj81xsKPNrRjjeK8bxVgsNhp2dOjRws8YstxMPq8qWJwlGm8Ph8JLmovinh+fL/qLnZvLsrwE6vLpWqYPhyfDuLxmIimp1a+KpVJ4yhJ1lUw+JlKNfEYqm1Ol+HP8AwS0+Dvwt1L9ob/gpL8adV8A+EtW+Kuift/fHHwt4c8far4f0nUfFfhbQonnkuNP8K69eWc2qeHINUHibV4daXR7uzGsW88VtqIuILeFE/Ty58JaV8OtX8RR+H7vxPqC+M/EWr+P9YPjrxr4y+KL2eu+Irll1Cw8Jy/EzXvF0ngLwTbixh/sL4a+Bn8O/DnwsXvG8M+FdIbUL83P0VXjfxD/5DVr/ANguD/0rva5Ye5hcuwq+DLsryzLYW0jL+z8Dh8JUrxgvdpvFVaM8VUgrtVKr56lacfavpn7+Kx+JfxY7H4vGtPWUFialOdOi5v3qkcPCn7KEnaKhK0KdKN4Pl/7Yu/8Anjpf/gj0X/5X1/MHX9NFfzL1/ZH0S/8Amvf+7Z/97h/Gf0uP+aB/7ub/AN4YUUUV/ZB/GYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAhOBn3A/Mgf1paQnAz7gfmQP60teZh6/Pm2a4f697b6vhckqf2f9W9n9Q+tUs4l9Y+tWX1n+1Pq3tPZXf1P+zuW0frevu4zCey4d4fxv9k/VvrmYcU0f7Z+u+1/tj6hiOGofU/7P5n9Q/sH697H2/LH+0/7b9peX9nXiUUUV6Z4QUUUUAFFFFABRRRQB+9/7HF/Pb/sq/CpY47Jh/aXxET9/p2n3RwvjPUJAd1zazNv3TOGkzvZBFEzGOCFI/p/R9VupNX0qNotNCyalYoxj0fSInAa5iUlJYrFJI3APyyRurocMjKwBHyn+x//AMmrfCr/ALCnxG/9TC8r6a0P/kNaP/2FNP8A/SuGv8ofEX/k4HHH/ZXcR/8Aq3xZ/rL4c/8AJvuBv+yQ4c/9VGEPoyiiivjT7MKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArxv4h/8hq1/7BcH/pXe17JXjfxD/wCQ1a/9guD/ANK72gDg6/Ii+8Hf8Ey4L28htv23/hlNbQ3VxFbzf8NK/s/yebBHK6RSeZHaiN98YVt6AI2dygKQK/Xev8y+v2XwkfEC/t/+wuLM64X/AORZ9a/siOBl9d/372P1j67hcTb6v+99l7Pk/jVOfm923454sw4en/YP9vcJ5LxRb+0/qv8Aa8sdH6jf6j7b6v8AUsVhr/WLUva+05/4NPk5fe5v7T/+ET/4Jo/9Ht/DL/xJL4Bf/I1H/CJ/8E0f+j2/hl/4kl8Av/kav4sKK/ZL+IH/AEdjjP8A8F5F/wDOs/HPYeHn/Rp+DP8AwZnn/wA9T+1lPB3/AATLNlcTN+2/8Mhcx3VnFFD/AMNK/s/jfBNFfPcSeWbXzG8qSC2XepCJ521wWkjIq/8ACJ/8E0f+j2/hl/4kl8Av/kav4sKKL+IH/R2OM/8AwXkX/wA6w9h4ef8ARp+DP/Bmef8Az1P7T/8AhE/+CaP/AEe38Mv/ABJL4Bf/ACNR/wAIn/wTR/6Pb+GX/iSXwC/+Rq/iwoov4gf9HY4z/wDBeRf/ADrD2Hh5/wBGn4M/8GZ5/wDPU/tZvvB3/BMuC9vIbb9t/wCGU1tDdXEVvN/w0r+z/J5sEcrpFJ5kdqI33xhW3oAjZ3KApAqr/wAIn/wTR/6Pb+GX/iSXwC/+Rq/iwoov4gf9HY4z/wDBeRf/ADrD2Hh5/wBGn4M/8GZ5/wDPU/tP/wCET/4Jo/8AR7fwy/8AEkvgF/8AI1Wk8Hf8EyzZXEzftv8AwyFzHdWcUUP/AA0r+z+N8E0V89xJ5ZtfMbypILZd6kInnbXBaSMj+Kaii/iB/wBHY4z/APBeRf8AzrD2Hh5/0afgz/wZnn/z1P7T/wDhE/8Agmj/ANHt/DL/AMSS+AX/AMjV9D6J+wx8AfEujaR4j8OePPHWv+Htf0yw1vQde0TxR4L1XRtb0bVbWK+0vV9I1Sw8Iz2OpaZqVjPBeWF/ZzzWt5azRXFvLJDIjt/BTX+ht+xT/wAmbfslf9my/Ab/ANVZ4Ur4jjji3xJ4TwmX4nDeJnFeNljcVXw84Yh5VSjTjSw0a6lF0MpblKTfK1LRLVan2vBPB3hpxVi8fh8R4Z8KYOODwtHERlh1mtWVSVXEyoOMlXzZJRSXMnHVvR6HmX/Dv34Nf9DN8Tf/AAc+Ff8A5jKu6j/wT1+C9nqF/aReJ/ig0dre3VvG0mteFC5SCeSJC5XwUqlyqgsVVQTnCgcD7arU1z/kNax/2FNQ/wDSuavzj/iMnip/0XnEP/g/B/8AzoP0T/iDPhV/0QXD3/hPjP8A58HwJ/w79+DX/QzfE3/wc+Ff/mMo/wCHfvwa/wChm+Jv/g58K/8AzGV9z0Uf8Rk8VP8AovOIf/B+D/8AnQH/ABBnwq/6ILh7/wAJ8Z/8+D4lT/gnr8F20+6uz4n+KHmQXthboo1rwpsKXUGoyyFh/wAIUWLhrOIIQwADSblYlStL/h378Gv+hm+Jv/g58K//ADGV99w/8gXUP+wpo/8A6Sa5WXR/xGTxU/6LziH/AMH4P/50B/xBnwq/6ILh7/wnxn/z4Phj/h378Gv+hm+Jv/g58K//ADGUf8O/fg1/0M3xN/8ABz4V/wDmMr7noo/4jJ4qf9F5xD/4Pwf/AM6A/wCIM+FX/RBcPf8AhPjP/nwfn78QP2Gfgv4JikuIta+KGox/8Jp4S8JxxSeIvCls6p4r8daH4MS+eZfAcyu+nLrQ1FrdYYxeG1NoJrQT/aIdv/h378Gv+hm+Jv8A4OfCv/zGV9qfErxJ/wAIrLe6n9i+3/avHnhjw35H2j7L5f8AwmXj7RfCH23zfIuN39nf25/aH2fy1+2fZfsnn2vn/aYdOsYeM/io8RXh/wARB4hlyU8M/Y+0wa9lzxxD5/af2P7/ALfkvy3/AHfsbae019Gv4J+FUMsy2v8A8Q24epe3xObw+vf7ZP679Wq5VH2H1b+2f9n/ALO+scntLL639f5rv6tp8Mf8O/fg1/0M3xN/8HPhX/5jKup/wT1+C7afdXZ8T/FDzIL2wt0Ua14U2FLqDUZZCw/4QosXDWcQQhgAGk3KxKlftqtSH/kC6h/2FNH/APSTXK2/4jJ4qf8ARecQ/wDg/B//ADoPO/4gz4Vf9EFw9/4T4z/58HwJ/wAO/fg1/wBDN8Tf/Bz4V/8AmMo/4d+/Br/oZvib/wCDnwr/APMZX3PRR/xGTxU/6LziH/wfg/8A50B/xBnwq/6ILh7/AMJ8Z/8APg+JdO/4J6/Be81CwtJfE/xQWO6vbW3kaPWvCgcJPOkTlC3gplDhWJUsrAHGVI4NL/h378Gv+hm+Jv8A4OfCv/zGV996H/yGtH/7Cmn/APpXDWXR/wARk8VP+i84h/8AB+D/APnQH/EGfCr/AKILh7/wnxn/AM+D4Y/4d+/Br/oZvib/AODnwr/8xlH/AA79+DX/AEM3xN/8HPhX/wCYyvueij/iMnip/wBF5xD/AOD8H/8AOgP+IM+FX/RBcPf+E+M/+fBzPw6+H2jfCz4X+FfAfh+51O80jQtU8U/ZLnWZrW41KT+07uy1m4+0zWVlp9q+y61CaOHyrOHbAsSv5kivK/daH/yGtH/7Cmn/APpXDRN/yBdP/wCwprH/AKSaHRof/Ia0f/sKaf8A+lcNfnuNxuLzHGYvMMfiKmKxuOxNfGYzFVnF1cRisTUlWr16rjCnF1KtWcpzcacE5SdoRWi/Q8FgsJluDwmX4DD08JgcDhqGDweFoqSpYbC4anGjQoUlKdSSp0qUIwgpVJtRirzk9X9GUUUVzHUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVr27jsLO7vpldorO2nu5VjCmRo7eJ5nWMMyKXKoQgZ0UtgFlGSPAP2ute+IHhb9lj9ozxL8Kfto+JWg/BL4nav4Hk0xJJdVt/E2n+DtXutJu9Jhit7qSfVrO6ijutMt0tp2uL+G3gWJzJtP4OfsBeF/+CbHhZP2Rfix8PP2kPGCftufGT4W+K0+K3hHwR8UfGHxM1r42fELxP4IPiH4naV+0d4MbSvHR8H6X4V8QQ6v4k0TUdV/4VdYXN9pS+J77WfFE2lQ6nByVq0/Y5s6TjCeX5c61NpKvXnisTl3EeLwTp4JOM6+DpVMhcMbWjUXs6lenSjF8mIktlTjFYGcryWKxdalJNulRp0MFLJ5Yp1sVaUaFarTzaKwkZwcZ+xqVJyjF0z95v2V/2lfAv7XfwN8H/H/4baT4s0Twb42n8TW+laZ44sdH03xNbv4V8Va14Q1E6hZ6Dr3iXSolm1LQrueyNtrN2ZLGS2lnW3uHltofoWv4s/Dfi34Y+Iv2A/8Agmv+zl8RbPSNQj+Ieq/tfeK7G2+NH7RV3+zb+yHa6h4d+JXjuz0HxL+0F4h8OaJL8QPGkfhXWLxL3wn4Q8C+Nvh7qc2p3TW1xrV1/bNpaVB8O7i78X/8Em/E/wAN/EP7QHwp8GeB9G/4KSXvgzwpoHifWvj9ffsx+MfBWnaRo3iu2+CWqePvB+n6z8R/Avwf8Q+Jru58b+GPEHjfxJ4ZgCW9vq2v+MvDuvXR8R6b6GLUKdXNvYwapYDE4SjQ5pSqqtCpmWQ5PjJOUYqq6uGxmbzqQoUaU51o01hqTr4i7pYxi1Uw1OpNN18TmdOpZKE6EaMeLMbgElJulKFbA8PUYVMRVqwhTniViKsaVKFeJ/anRX8bv7N/i/QU/wCCen/BSb4F2Ov/APDKcmir8JNX8T+LfAnxn1/9qL9lLw7N8T9V/s7UPD3gDV/glp3xw8feD/DHjnw9plp4R+JqN8R/jlqKyajc3Gta1pNtpuoeFYsr9ivX/DXgDw5/wUb+DGk+A/BPhjUPFf7A/wAefGkt9+zB+01B8dv2WNa0Xwfoep+H9B8TXPhfV/FXxa+IPgj4k6sNU1OaOfxt8W7LV49B1K2026+D/guS9W6ucMRL2CzGSXtFg8lhm9BJr/ar5VUzSpRUop06cIKhiaKqSdKtONL62sNPDPlnWGi68suhL93LG55HKK90/wDZKVTNcqyuni5Rk1OpKf8AbGDxHsYe0px5lhqleliKlOVP+zeiv5I/FXwK8Afs+f8ABLn9kLx94au/G3gXwx+1543/AGVPD/7f3xo0bxV40vPE178AdW0nXorvRLu8mm8R2/gzwJpVjq1j4QjsvDGm6Npuoada6F4a1Wy1yPVH02+9L8JXnhb9nv8AaQ/am+HX/BJLxUfGXwOg/wCCfnxF+Kni3w78N/iHrPxu+HHgv9pLT/7Zsfh94h8G+ItR1n4gRXnxN1bT9O0e2XwzBqWoSavBHLbz2l4mjw2Gi6YzlwVTMqc3Ko8uq5xhZqkotrF5HkVLPsbLEpu2Dy6rRr08LgsxrXjWxFPE1qlGGEp03UjCc2Mhl84KNNZhDL8RTdRtRWFzLiGHDdCFNpf7RmUMVKeLrZdSbawkYRp1pYmbUP6kaK/jr+Gtv+zP8PfBX/BOT45/sU/F7UPGn/BRb4zfGj4WaZ+0Rp2n/GPxR46+IPxJ03xzHqer/tB6L8cvAWo69fL4d8J2PiO2Uya9f+F9INzp9la+K21HX7mGPxhB5T8WfgT4Ivv2dv8AgqL+1eLrxpYfHL4Ff8FHfEVv8GPFei+PfF+gW/w0vtQ+L3ghNZ8Q+F9E0TV7DR7fxTrkep2cd94kvLK91i2HhvwzLo13pdxpQmmqdKdPEVcO17SWFxFfB4mVFpwrYmjnHCWTRllc6nJDHYOviOMMD7PFzlQjCWGxFOrFyqYdMoNYiGHlS9145YSWDhV92cFi6HFNWMMxhDmlg60ZcLYiSpwjW9rhsXQxFKyhUR/bVXjfxD/5DVr/ANguD/0rva/GH9kL4Q+Hf2X/APgr58Rvg98Mb7xVZ+EviR+wf4Z+MPxPtPEPjfxZ45uvHfxfHxQ0vTr/AOIfiDWfGWqavq+oeIb2TVNfu2unuIY4bjxFrn2O1srfUZrUfrxc6DqvhHV/ESeIPGvif4ot4i8Rav4q0eXx1aeDdPfwFoWr3LDT/hr4THwz8JfDqO88E+FjbTNoV/45j8Z/Ea4OoXn/AAk3j/xEqWC2LnSUKOFqxqRqLE0sRJuMZKKqYTNM4yiuqbn706M8Rk1ethqk406s8LXw7rUaNf21KGNKuq060VBxjCGX1qbk05SoZnk+V51hXUUfdhWjh81p0sRThKpThXo1FSq1abjMya/zL6/05P7QtP8AoB6X/wB/ta/+XFf5jdftfg1/zUX/AHSv/egfjXjD/wA09/3VP/dAKKKK/cD8TCiiigAooooAKKKKACiiigAr/Q2/Yp/5M2/ZK/7Nl+A3/qrPClf55Nf6JH7E19ap+xl+yOjaPpsrL+zF8BFaWSXVw8hX4VeFAZHEWqxxh3I3MI440BJ2Iq4UfjvjH/yLMj/7GWM/9V0D9e8H/wDkZ53/ANi3Cf8AqwmfRFamuf8AIa1j/sKah/6VzUf2haf9APS/+/2tf/LitLWL61TV9VRtH02Vl1K+VpZJdXDyFbmUGRxFqscYdyNzCOONASdiKuFH4CfvRzNFan9oWn/QD0v/AL/a1/8ALij+0LT/AKAel/8Af7Wv/lxQAQ/8gXUP+wpo/wD6Sa5WXXTRX1qdIvn/ALH00KupaUpiEur7HLW2sFZGJ1UyB4wjKgSRUIlk8xJGETR5v9oWn/QD0v8A7/a1/wDLigDLorU/tC0/6Ael/wDf7Wv/AJcUf2haf9APS/8Av9rX/wAuKAOY+JXiT/hFZb3U/sX2/wC1ePPDHhvyPtH2Xy/+Ey8faL4Q+2+b5Fxu/s7+3P7Q+z+Wv2z7L9k8+18/7TDp034j+MrXwk11qLeGtN1Rrjxz4W8Mssl7q9o5PjDx7ovg86g8kV9JGz2B1z+0mto7eJLs2xtEks1mFxDrf2haf9APS/8Av9rX/wAuKwhK+Irw9rzclPDP2PJb2XPHEPn9p9v2/Jflv+79jbT2mvo16PJlmW1/qfsvb4nN4fXvrHP9d+rVcqj7D6tf/Z/7O+scntLL639f5rv6tpl1qQ/8gXUP+wpo/wD6Sa5R/aFp/wBAPS/+/wBrX/y4rSivrU6RfP8A2PpoVdS0pTEJdX2OWttYKyMTqpkDxhGVAkioRLJ5iSMImj3POOZorU/tC0/6Ael/9/ta/wDlxR/aFp/0A9L/AO/2tf8Ay4oAND/5DWj/APYU0/8A9K4ay66bR761fV9KRdH02Jm1KxVZY5dXLxlrmICRBLqskZdCdyiSORCQN6MuVOb/AGhaf9APS/8Av9rX/wAuKAMuitT+0LT/AKAel/8Af7Wv/lxR/aFp/wBAPS/+/wBrX/y4oAJv+QLp/wD2FNY/9JNDo0P/AJDWj/8AYU0//wBK4a0pb61GkWL/ANj6aVbUtVURGXV9iFbbRy0ikaqJC8gdVcPIyARR+WkbGVpDR761fV9KRdH02Jm1KxVZY5dXLxlrmICRBLqskZdCdyiSORCQN6MuVIB71RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5B4Q/Z7+Afw98VeJPHfgH4H/CDwP438Yx6nD4v8ZeEPhp4M8NeKvFUWtagmraxF4k8Q6Lotlq+uR6tqscep6mmp3l0t/qEaXt0JblVkHr9FKyvJ2V5UqlGTsryo1VarRk7XlRqrSrRk5Uqq0qUqi0HdtKLbcVOFRRbfKqlN3p1Er2VSm9adRJVIPWE4PU8I1T9ln9mPXPBPhz4aa1+zl8B9Y+HPg7UNQ1fwj4A1T4Q/D7UPBPhbVdWnurrVNT8OeFbvw9NoWh6hqV1fX1zqF7plha3N5PeXU1xLJJcTM+9L8BPgXN4d8c+EJvgv8ACaXwn8UNcuPE/wAS/C8vw58HyeHfiJ4lu7i1u7vxD450R9GOm+Ldcurqxsrm41bX7bUL+a4s7WaS4aS3iZPWaKb95VFL3lVbdVS95VXL2Ck6qlzKq5LC4VSdRVG1hcMm2sNhvq4m04yTalB3hJNqUHz1ql4STTg/aYnE1LwcH7TEYid+fEV51/LvB3wP+Cvw78Ga18OPh/8ACD4XeBvh54kbVG8Q+A/B3w/8J+GfBmvNrdhFpWstrXhfRdJstD1RtX0uCHTdUN9Yzm/sIYrO7823jSMYvgz9mv8AZz+HGg+MPCvw8+APwU8B+GPiFp50jx94c8GfCvwL4X0HxxpTWl9p7aZ4w0fQ9BsdP8TaebDVNTsjZa1b3tsbTUb62MXk3dwkntdFEvfdRz951aSoVXL3nVoR5eWjVcuZ1aMeSHLRqOpRjyQ5aUeSPKo+6oKPuqnV9vTUfdVOvfm9vTUeVU699fbQUK19fbX1OMT4cfDyLwH/AMKri8B+DI/hgPDjeDx8OE8L6GngP/hEnszpz+Fv+EQWxHh7/hHH09msG0T+zv7MazY2ptTASlZfwz+Dnwi+C2kX2gfBz4V/Dj4TaDqmonV9T0T4Z+B/DHgTSNR1ZraCzbVL7TfC2l6VZ3eotaWttam9uIZLk21vBAZfKhjVfR6KfNLmqT5pc9ZJVp8z56yUuZKrO/PVSl7yVWdVKXvJKXvC5Y8sIcq5KUnKnCy5KcmnFypwtyU5OLcXKnCnJxbi5NNp+QeFP2evgF4E8c618T/A/wAD/g/4N+JXiQ6q3iL4h+FPhp4L8O+OdfbXr6PU9cbWvFukaLZ6/qp1nUootQ1U32oTnUb6KO7vPOuEWQJc/s8/AG98OeM/B958Dfg9d+EviP4lfxp8Q/C1z8M/Bc/hzx54xkvLXUZPFnjPRJdEfTPFHiWTULGyvn13XLW+1R7yztblroz28Tp7BRSXuqCj7qpQjSpKPuqnShVpYiFKmo8qp04V6FCvCnTVOnCvQoV4U4VqNGtRq75pTu+edRVZzu+edVQqUlVlK/NKqqVWrSVWUpVFSq1aaqKnUqU6nFQ/DX4c2/jt/ijb+APBUHxMl8Mx+CpPiLD4V0KLx3J4NivY9Ri8JP4uSwXxA/hmPUIor+PQW1A6Ul7HHdLaCdFkHIfEP/kNWv8A2C4P/Su9r2SvG/iH/wAhq1/7BcH/AKV3tF3ZRu+WKkoq7tFSnUqyUVtFSqVatSSioqVSrVqSUqlSpUqSklskrqCdkldU6cKVNOyV1TpU6dKmnpTpU6dKChTpwpw4Ov8AMvr/AE0K/mhvv+Dcj7Fe3ln/AMNj+Z9kuri28z/hnrZ5nkSvFv2f8LxfZv2btu5tucbjjJ/VPDPiTJuH/wC2v7Xxn1T63/Z/1f8AcYmv7T2H1z2v+70avLy+1p/Hy35vdvZ2/L/Enh3Oc/8A7G/snB/W/qn1/wCsfv8ADUPZ+3+qey/3irS5ub2U/g5rcvvWur/zG0V/TR/xDo/9Xif+a+f/AI76P+IdH/q8T/zXz/8AHfX6p/xEfgz/AKHH/lhmX/zIfl3/ABDrjH/oUf8Al9l3/wA1n8y9Ff05J/wbkb7K4vP+Gx8eRdWdt5f/AAz1nf8Aa4r6Xfv/AOF4jb5f2Lbt2nf5mdy7MPV/4h0f+rxP/NfP/wAd9H/ER+DP+hx/5YZl/wDMgf8AEOuMf+hR/wCX2Xf/ADWfzL0V/TR/xDo/9Xif+a+f/jvo/wCIdH/q8T/zXz/8d9H/ABEfgz/ocf8AlhmX/wAyB/xDrjH/AKFH/l9l3/zWfzL0V/Tlff8ABuR9ivbyz/4bH8z7JdXFt5n/AAz1s8zyJXi37P8AheL7N+zdt3NtzjccZNX/AIh0f+rxP/NfP/x30f8AER+DP+hx/wCWGZf/ADIH/EOuMf8AoUf+X2Xf/NZ/MvRX9NH/ABDo/wDV4n/mvn/476tJ/wAG5G+yuLz/AIbHx5F1Z23l/wDDPWd/2uK+l37/APheI2+X9i27dp3+ZncuzDn/ABEfgz/ocf8AlhmX/wAyB/xDrjH/AKFH/l9l3/zWfzG1/obfsU/8mbfslf8AZsvwG/8AVWeFK/DH/iHR/wCrxP8AzXz/APHfX9DfwU+HP/Cnvg18JPhJ/bP/AAkX/Crfhl4C+HP/AAkH9n/2R/bv/CEeFdK8M/2z/ZX27U/7M/tP+zPtv9n/ANpah9i8/wCzfbrvyvtEn5t4lcUZFxBgMqo5TjvrdTDY7E1q0fq+KoclOpg40oSviKNKMr1E42i3JbtJan6P4b8MZ5kGOzWtm2C+q08TgsPRoy+sYWtz1KeMlVnG2HrVZRtTaleSSeybeh6bWprn/Ia1j/sKah/6VzVl1qa5/wAhrWP+wpqH/pXNX5AfrZl0UUUAakP/ACBdQ/7Cmj/+kmuVl1qQ/wDIF1D/ALCmj/8ApJrlZdABRRRQBmfErxJ/wist7qf2L7f9q8eeGPDfkfaPsvl/8Jl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/wBph06zPiV4k/4RWW91P7F9v+1ePPDHhvyPtH2Xy/8AhMvH2i+EPtvm+Rcbv7O/tz+0Ps/lr9s+y/ZPPtfP+0w6dYQlfEV4e15uSnhn7Hkt7LnjiHz+0+37fkvy3/d+xtp7TX0a9HkyzLa/1P2Xt8Tm8Pr31jn+u/VquVR9h9Wv/s/9nfWOT2ll9b+v8139W0K1If8AkC6h/wBhTR//AEk1ysutSH/kC6h/2FNH/wDSTXK3POMuiiigDU0P/kNaP/2FNP8A/SuGsutTQ/8AkNaP/wBhTT//AErhrLoAKKKKANSb/kC6f/2FNY/9JNDo0P8A5DWj/wDYU0//ANK4aJv+QLp//YU1j/0k0OjQ/wDkNaP/ANhTT/8A0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK8S8cftF/Br4b/Fb4YfBHxp4x/sb4n/Gaw8Zap8NvDH/AAj3irUf+Eksfh/o76/4un/trSdDvvD2j/2RpMb3fla9q2lzX+PI0yO9uSITqfA/45fC39o/4Z+H/jD8GPFH/CZfDnxTLrMOg+Iv7E8ReHft0nh/XNR8N6uv9keK9I0LXbX7JrWk6hZZvNMt1uPs/wBotTNaSwTyEPfjKcPfhC/NOPvRjy4mpg5c0ldLlxlKrhXd6YinOi/3kJRRP93KMZ+5KfJyxl7spe1w88VT5U7N+0wtOeJhb4qEJVY3hFyXrNFFFABRRRQAV438Q/8AkNWv/YLg/wDSu9roNN+LXw21n4meJvg3pHjLRdU+J3gzw5ovizxd4O0+4a81XwxoXiOeeDQbrXvs8clrpM+r/Z5Liw0y+uINUudPMOpx2R065t7qXn/iH/yGrX/sFwf+ld7QtYwmtYVFKUJrWM4xqVaMpQkvdnGNWjWpOUXKKqUasOZypzUR6SlF6Sg4qcXpKDlTp1YqUXrFypVqNWKkk3Tq0ppctSDlwdf5F9f66Ff5F9fpnh1/zN/+5H/3bPzvj3/mVf8Ac7/7qhRRRX6YfnZ/dt/wbFf8o8vjV/2ed4l/9Uf8H6/oar+eX/g2K/5R5fGr/s87xL/6o/4P1/Q1X4JxN/yUGb/9hk//AE1hj9u4d/5EWV/9gkP/AE5iAooorwj2jU1z/kNax/2FNQ/9K5qy61Nc/wCQ1rH/AGFNQ/8ASuasugArUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcoAy6KKKACtTXP+Q1rH/YU1D/0rmrLrU1z/kNax/2FNQ/9K5qAMuiiigDUh/5Auof9hTR//STXKy61If8AkC6h/wBhTR//AEk1ysugAooooAzPiV4k/wCEVlvdT+xfb/tXjzwx4b8j7R9l8v8A4TLx9ovhD7b5vkXG7+zv7c/tD7P5a/bPsv2Tz7Xz/tMOnWZ8SvEn/CKy3up/Yvt/2rx54Y8N+R9o+y+X/wAJl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/2mHTrCEr4ivD2vNyU8M/Y8lvZc8cQ+f2n2/b8l+W/7v2NtPaa+jXo8mWZbX+p+y9vic3h9e+sc/136tVyqPsPq1/9n/s76xye0svrf1/mu/q2hWpD/wAgXUP+wpo//pJrlZdakP8AyBdQ/wCwpo//AKSa5W55xl0UUUAamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDWXQAUUUUAak3/IF0/wD7Cmsf+kmh0aH/AMhrR/8AsKaf/wClcNE3/IF0/wD7Cmsf+kmh0aH/AMhrR/8AsKaf/wClcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfnp/wAFU/jr8Sf2cP2Efjp8V/hHfS6N480mx8KaHo/iWG2truXwpH4x8b+HPCWo+JIIbvMH23TNO1q6fS53jmFpqsljdmCZYDG36F1y3jfwR4R+JPhHxH4B8feHNJ8XeDPF2k3mheJfDWu2cV/pOs6TfxNDdWV7azApJHIjZRxtlglWOeCSOeKORebF0p1sPUp01GUpOk3TqVKtKnXhTxGGrVsLVq0HGvRpY2hRr4GrWoyValSxtWrSanTidODq06GKoVqsXKnTqc0kownKPuVYxqRhUvTqToznTxEKdT93Unh4Qn7stP5ppPgrd/Ar/go3/wAEw7Vf2vvjN+1OPGHwk/aH+IVrqvxq8dW/j7xLoN1rXwH1hZvFPgzxALca5pfw28efYLW58KeGdT1jXodFvfD2s3em63qV1qmsXTeIT/GP9sf4h/8ABPX9gO98GfGr41/EHxL4k8TftSeIvit4F+GH7V2l/CP9tH4zWPgnxv41sPBh+Gvi3xjb+PPiR8RtH8G2cd7HrfgfwV4J8fand2kOg2S+HW+zaTq3hz97fg9/wSw/YJ+AXjTwn8RPhH+z/YeEPG/gi68V3fhvxLF4++KusanaSeNfDX/CI+IYb2bxD461ZdbsZ9Aaez07TddTUtP8Pz32p6l4ftdL1TVdSvbrb8S/8E0f2H/GPwM8C/s3eJvgNpOr/B74Za1rniHwD4dufF3xFXWfC2qeJ9V1HW/EUml+PYfGEXxDitNb1TVbq61TTJPFUml3pSwiuLN4NK0uKz6sQ+elKnTlJr659ZpRlGlCFKnPivOc7lRUIxVKoqOXZjgsLecKf1qrl8FUkoUcDKny0E6cqEqj5qlPBYbC1q95SqYirh+Fa2S1MVJ356U8RmFSWMjCnOSwqxFWrTg6iqwqfhpJ+2R8Z5P+CePw0+G+g/tF/tD+EvHviX9u/wAP/sk/Gf4yfHfw2ngn48/s/eGfE9nP4l8Q+GdX8Yf8JZrWsa3r3hGV5tOh+KeoT+EvGFxpmn6lbXvhD4f3FtY2ll6X4lu/jd+z1+13+2b+z/oP7ZX7Svxs8LfDj/gk/wDGD4heCYPiL8VNQ13xt4A+IAuLK80jUNUv/C1t4astT+JGmveSa54c8d3OjQ+PLLw34i0TSDq01hp2mTSfp98bf+Cf/gvTP2MNd/ZR/ZI+DX7M2l+G9Q1231iX4fftCad8WvEHgHxLJdXwl1jVNV8e+BfHGm/GHRPHlqos7zw98Q49Z8T61p1vodl4Vtraw02ex1Xw584/8E9P+CX/AI4/Z0+L3jj4v/G/Qf2X/DVtqXwPb9nzwn8HP2a7T4pa98OZ/Ber+J08XeLNd8d618crjUfGfibxHrmoRjTLqPXL3xIl3pMn2eTU7extLPSYpqr63UzeEJfVnWwmaqOKq88Y4mrieCMvyjAUIUnKrUpUcFn2Gr4rDVMNL67L+08bicZXljaFXE4qqUvqlLLZygsT7HE4BLCwcHOlHDcd4XPsTXq1eSEJTxmR0qmX11Vi8HGlQw2Fw2H+rVHhY/NPif8AaL+KY/ZD/wCCIWs6f8dvH48Z/F/9pb4AaL8StVs/if4i/wCEn+KPh1b250rx1pPjm+g1z+1fG2irqtxY6b4ssNfl1OxGoT2lnrEX2mWGNvk79ov4+ftXfDf9qj4vfGjxl8c/2s5Pgp4N/aV1NNH+NH7J3xi8HfHr9lT4Y+AfCWr+GtI8PfCb40fsq+GtS0fQvCni+9+3aZ4d8Wr8UPi94F1nUNT1S81O3+Hfj/Vra4ufEH7ueCf+CQ3/AATp+HPirQfG/gz9mzStE8V+F/Hnhb4l+Hdcj+IPxcu7zRfF/gy/u9T8PXmmnUfH93Ha6Va39411d+Foo18KazLa6Uda0TURoukCx6vx3/wS7/YI+JvxouP2gvHP7N/hPXvipe+INO8VanrMuueN7LQNb8QabJBNHqniD4fab4psvh34guL2e3S410a14Uv4vEly1xceIY9UmurmSbqVeP8AaWEx/IoRWcZlmWIouEatOhQxv+p8qeEowTpRxCorh/MqKlbD07ZjOP1Z4LGZlRrc7o/7FVwTnOaWT4HLIV4ydCtiKmFx3E2IqYmU5e2eFnWp5zgbubxMubL6XNXVbCYCpT/Pn9mf4OWN/wD8Fqf2xfG9n8bPjpPD4Z8A/Cf4n2Hhl/iE0fhbxzY/FPwffxL4V8b+HptGjuNf+Hvw7TXra4+Gnh15LFvBt5baM013ePbrHL+utzoOq+EdX8RJ4g8a+J/ii3iLxFq/irR5fHVp4N09/AWhavcsNP8Ahr4THwz8JfDqO88E+FjbTNoV/wCOY/GfxGuDqF5/wk3j/wARKlgtjl+If2M/2aPFP7RnhT9rTW/hfZ3H7QngnTIdH8OfEO28R+MtLmtbC307VtHgS98N6V4isvB+t3EOla5qOnRX2u+HtSvo7J7W2W5EWm6atp3XxD/5DVr/ANguD/0rva56XLTy7LMGlKP9n0MXhVFtTj7KWb5tjMNNVeWE51JYTH4WnXjKCjTr4So6cqka86k9Z89TG4zFTcJyxf1CrOcYyp/vqWVZZg8VBUeacYUli8Fiq2HkpyqTo4yFOryvCwiuX/tC0/6Ael/9/ta/+XFf5Ddf66Ff5F9fpfh1/wAzf/uR/wDds/PePf8AmVf9zv8A7qhRRRX6YfnZ/eB/wbB3EUP/AATy+NXmWNrd4/bO8U/8fD3q53/A/wCDW3P2W8tv9V5b+XjGfPl83zMQeT/RJ/aFp/0A9L/7/a1/8uK/nR/4Niv+UeXxq/7PO8S/+qP+D9f0NV+CcTf8lBm//YZP/wBNYY/buHf+RFlf/YJD/wBOYg1P7QtP+gHpf/f7Wv8A5cUf2haf9APS/wDv9rX/AMuKy6K8I9o6bWL61TV9VRtH02Vl1K+VpZJdXDyFbmUGRxFqscYdyNzCOONASdiKuFGb/aFp/wBAPS/+/wBrX/y4o1z/AJDWsf8AYU1D/wBK5qy6ANT+0LT/AKAel/8Af7Wv/lxWlFfWp0i+f+x9NCrqWlKYhLq+xy1trBWRidVMgeMIyoEkVCJZPMSRhE0fM1qQ/wDIF1D/ALCmj/8ApJrlAB/aFp/0A9L/AO/2tf8Ay4o/tC0/6Ael/wDf7Wv/AJcVl0UAan9oWn/QD0v/AL/a1/8ALitLWL61TV9VRtH02Vl1K+VpZJdXDyFbmUGRxFqscYdyNzCOONASdiKuFHM1qa5/yGtY/wCwpqH/AKVzUAH9oWn/AEA9L/7/AGtf/Lij+0LT/oB6X/3+1r/5cVl0UAdNFfWp0i+f+x9NCrqWlKYhLq+xy1trBWRidVMgeMIyoEkVCJZPMSRhE0eb/aFp/wBAPS/+/wBrX/y4oh/5Auof9hTR/wD0k1ysugDU/tC0/wCgHpf/AH+1r/5cUf2haf8AQD0v/v8Aa1/8uKy6KAG/Efxla+EmutRbw1puqNceOfC3hllkvdXtHJ8YePdF8HnUHkivpI2ewOuf2k1tHbxJdm2NoklmswuIdb+0LT/oB6X/AN/ta/8AlxXMfErxJ/wist7qf2L7f9q8eeGPDfkfaPsvl/8ACZePtF8IfbfN8i43f2d/bn9ofZ/LX7Z9l+yefa+f9ph06whK+Irw9rzclPDP2PJb2XPHEPn9p9v2/Jflv+79jbT2mvo16PJlmW1/qfsvb4nN4fXvrHP9d+rVcqj7D6tf/Z/7O+scntLL639f5rv6tpqf2haf9APS/wDv9rX/AMuK0or61OkXz/2PpoVdS0pTEJdX2OWttYKyMTqpkDxhGVAkioRLJ5iSMImj5mtSH/kC6h/2FNH/APSTXK3POD+0LT/oB6X/AN/ta/8AlxR/aFp/0A9L/wC/2tf/AC4rLooA6bR761fV9KRdH02Jm1KxVZY5dXLxlrmICRBLqskZdCdyiSORCQN6MuVOb/aFp/0A9L/7/a1/8uKND/5DWj/9hTT/AP0rhrLoA1P7QtP+gHpf/f7Wv/lxR/aFp/0A9L/7/a1/8uKy6KAOmlvrUaRYv/Y+mlW1LVVERl1fYhW20ctIpGqiQvIHVXDyMgEUflpGxlaQ0e+tX1fSkXR9NiZtSsVWWOXVy8Za5iAkQS6rJGXQncokjkQkDejLlTmzf8gXT/8AsKax/wCkmh0aH/yGtH/7Cmn/APpXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV438Q/+Q1a/9guD/wBK72vZK8b+If8AyGrX/sFwf+ld7QBwdfwyXX/BsR+3tZ3VzaS/Fz9kJpLW4mt5Gj8e/GYoXgkaJyhb4AqxQspKllUkYyoPA/ubr/LPk/4KF/t+Su8sv7cX7YMkkjtJJJJ+0v8AGh3kdyWd3dvGpZnZiWZmJLEkkkmvt+DYZtP+0f7LxeDwtvqvt/reEnivaX+sez9nyVKfJy2nzXvzc0bW5dfjuLZ5XD6h/aWFxeJv9Z9j9VxUMNyW9h7Tn5qc+fm9zltbltK976fsd/xDIft5/wDRW/2Rf/C9+Mv/AM4Oj/iGQ/bz/wCit/si/wDhe/GX/wCcHX43/wDDwj9vj/o9/wDa+/8AElfjP/8ANpX9TP8AwbSftCfHz47/APDan/C8fjh8X/jL/wAIr/wzj/wi/wDwtb4l+M/iJ/wjf9uf8L4/tr+wf+Ev1rWP7H/tj+x9J/tT+z/s/wDaH9l6d9r877DbeV9RmmJ4pyvA18dUzLKq0KHs706eVzjOXtKsKStKddxVnNSd1qk0tbHzeW4bhrMsbRwVPL8zpTre0tUnmUJRj7OnOq7xhQUndQaVtm03pc/VD/gjp+wr8W/+CfX7JvxI+DPxm8RfDnxN4o8TftEX3xOsL/4Y6v4m1nQYdB1n4a+DfCtraXd14q8IeC9Qj1ePUfBeqTXFvDpdxZJZXGnyR6hLPLcW9r+pNakP/IF1D/sKaP8A+kmuVl1+U4zF1sdiq+MxDi6+JqOrVcIKnBzcYRfLBOSirQjom+uup+m4TC0sFhqOEoKSo4emqdNTk5yUU5yXNNpOTvOWrS6dgooormOg1Nc/5DWsf9hTUP8A0rmrLrU1z/kNax/2FNQ/9K5qy6ACtSH/AJAuof8AYU0f/wBJNcrLrUh/5Auof9hTR/8A0k1ygDLooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigDUh/5Auof9hTR/8A0k1ysutSH/kC6h/2FNH/APSTXKy6ACiiigDM+JXiT/hFZb3U/sX2/wC1ePPDHhvyPtH2Xy/+Ey8faL4Q+2+b5Fxu/s7+3P7Q+z+Wv2z7L9k8+18/7TDp1mfErxJ/wist7qf2L7f9q8eeGPDfkfaPsvl/8Jl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/wBph06whK+Irw9rzclPDP2PJb2XPHEPn9p9v2/Jflv+79jbT2mvo16PJlmW1/qfsvb4nN4fXvrHP9d+rVcqj7D6tf8A2f8As76xye0svrf1/mu/q2hWpD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuVuecZdFFFAGpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw1l0AFFFFAGpN/yBdP/wCwprH/AKSaHRof/Ia0f/sKaf8A+lcNE3/IF0//ALCmsf8ApJodGh/8hrR/+wpp/wD6Vw0AfRlFFFABRXC/Dr4leCfix4cn8W/D/Wv7f8P23inxz4Km1D+ztW0rZ4m+GvjXX/h3410z7JrVhpt639i+MfC+u6P9sS2bT9R+w/2hpN3f6Xc2d9cS+KPiL4M8F698O/DHibXItL174r+K7/wR8P8ATmtNQupfEXifTPBXiz4h3+mxPZWlzBYLa+DvA/ifWJL/AFWWw03/AIlqWC3japqGmWV60m3Tik3Kr7P2UVvU9tRWIo8i3n7XDyjXp8t+ejJVI3g7h/P/ANO/aqp/079hOdOtz/y+yqU6kKnNbknCUZWlFo7WiiikAUUUUAFFFFABRRRQAUUUUAFFYnibXbXwv4b8QeJr5Xey8O6Jq2u3iR5Lta6RYXGoXCptV23tFbuF2o5yRhWPB/lw/Zm/4KU/8FHvi58TPg/8Yovh/wDtLfEf4O/FP4r22g+LPhH4Z/YZ0+H9nPwR8K9W8SX3he88V/D/APat0DxNrPxF8WeIfBcNtZarfw+LPD2m+Gv7X/4SfT9U1WLT9IsvtBh/9px0MBT0qzhh5yqz92hR+t4qpgcGq1T7CxGLpVKXtG1SoRi6+JnCgpSgV/8AZ8HPGz1pxnWhGnHWtVeGwjx2KdKH2vYYVKfIk6lapUpYbDwnXrU1L+nvwj8QvAPxAHiFvAXjjwf43Xwj4l1LwX4sbwj4l0XxKPDHjHRRA2seE/EJ0a9vRoviXSRc2x1LQtS+zapYC4gN1axCWPd19fyZ6V+198Vv2U/gx+1tp3wOtdYPxR+PH/BYv47/AAn0XWfDHw9g+LPjXwxpV7o/hjUNb1z4ffDDUNQ0nRfH/wAQIxb2Nl4T8Ka9qVtpGr6jei3vCIz50HoWrft/f8FFfAX7FH7YviLx3YfH/wAI+N/hJqHwS1f4IftH/H39j/wr+zt4n8W6Z488e6H4b8d+FNY+Fd1H47+E0134caaa10a70O71u+utC1P+1NXOmaqlnHFlSqxq4aniIxnZ4DJMRNWSVTF5nlnCOOxWEwzlKCm8FPi7Bxj7WcKmKpU6saEamJpVKdTapQlDHTwd4uTzLMsHSd25Rw+Ex+Z4HC4rERipOP1uWU4pyVGM40EoVasoYefNT/qKor+cf/haX/BVCL9pnxN+yfN+2d8MH1bxr+ydp/7Wlv8AE63/AGXPCE8vwbXTtdv7W++GPw80E6xb6Zr+kaxqktj4bu/GnxWTxdqh8PJBqel6NoviRZ11LxrX/wDgq1+1743/AGXv+Cf+keAZvG1l8cv2kNB+MOq/E34hfAr9njw7+0P8WZLD4I+K9W8IWeoeAvgVrOreEPAepX/jifRJ9X8eA3Njp/hnTF1XUfDdjpsNvZ2B2mnBWS56vt6FCNGLvOcquY8RZRWnGTi6fssJmHCue0K1RyXtYYNYrCRrYXEUKr54TjOMKl+WjOhLEe2krQjTlk+T57hk1dVHPGZdnuXzoQjH3KtSdDEyo1oOD/qdor+Zfxh+3v8A8FFNE/Y0+Gusavpvjz4OfHtv28vh7+z9pPj/AOPn7OGnfCe5+Nvwl8Y6B4k1TQvEHjH4U6vYeINK8KXOo6jb2mneNU+F2oumlDSvI8L+KRd3F5M3T/En4kft0eHPiH+3Z+wx8Yf2qvD3xaS4/YD8WftHeCvi7Z/APwF4E1PwjZ6dqyaN4p8AQeCtEnk0u/03xdoFz4h8NTatrut6/rOkIdF8SaRe2moQ32m3OOJqOhh8dXio1FhKOY1aXNNwhip5Zw7gOKMTSi4qrUoSp5Tj3VqrEUoVKdbBY3Cck8UsLTxW+HpqvUwcJOUFicRg6NXlipzwtPGcSf6q060k3Tp1oSzWVCnS9hUqRq08VQrqUKFPG1ML/RZoeu6H4m0qy17w3rOleIND1KIzadrOh6jaatpV/CsjxNNZajYTXFndRLLHJEZIJpEEkboTuVgNWv5afhf8Y/2m/wBn3/gn1+w34G8K/tlaV4f8UfHTRfEHi/4f6P4T/ZVk+Nf7SOnfD3wx4B0a68KfAb4FfBnw3oeteDPijdTeJo9TfxN8TPjH4o+HLWlrrdjHba2Bps0TP0P/AIKNft2+L/2HPh94n0Xx2PD3x/i/4KW6L+yFN458d/B7wV4X1bxr4P1TQ9Q1WC0+J3wuaw1Xw54I8QW2r6lY6L4r07wRdafqWjp4fbTbPxAdUGp6tqPZUoSWKxeEoc1erhcdluXJWjTdfE5hjsnylqDlN0YLDZrnGHw+JjOvKVKlL6xdUoSdfkp1lLD4TE1eWlSxWHxuK505VI0aGEwGf5tGVSKgq7WJy3h7HVqEo4eKlOEYSUfbU3S/pkHxC8Anx0fhcPHHg8/ExfDX/CaN8Ox4l0U+Ol8Hf2gukf8ACWHwj9t/4SAeGv7VddM/t06f/Zf9oMtl9q+0sIjxXxD/AOQ1a/8AYLg/9K72vy8+BE3xr8Bf8FStH+CXxn+LHhf4/eKNO/4J+ap4v8QfGOb9n74L/C7x14i1W7/aGFtp1hDrPgzw03i/RvCWk6HcWmnJ4Ji8bXvha91KyPia70ttcn+0w/o7c2njLT9X8RD4ma94Y8XSXniLV7/wM/gXwlqvw6Tw78Obi5b/AIRnwr4sj8QeNfii3jPxtpDJfnXfH+jy+AtC8RC5s10/4a+FjYzNqGfKvq+DrxnGosVSxNTmgpqm/q+aZrl3uKpGFVK+Wu/tFdz9pKFqM6EVpJtYnE0HCUHQjgJWm4uf+2Zbh8euZ05SpvSunBQd405QjVvWjVaya/yD6/2BPO0X/oH6p/4OLT/5R1/j91+i+H3/ADNv+5H/AN2j4Hjr/mV/9zn/ALrBX9fH/Bqd/wA35f8Adrv/AL8TX8g9f2Bf8Gor2Sf8N6/bLe6nz/wy35f2a8itNmP+Gi9+/wA2xvfM3ZXbt8vZhs79w2fScXf8k9mH/cr/AOplA+f4W/5HuB/7mf8A1FrH9gUP/IF1D/sKaP8A+kmuVl100Uukf2RfEWOpCMalpQdDqtqXZzbax5bLJ/Y4VUVRKHQxOZC8bLJGI2WXN87Rf+gfqn/g4tP/AJR1+Jn7AZdFannaL/0D9U/8HFp/8o6PO0X/AKB+qf8Ag4tP/lHQAa5/yGtY/wCwpqH/AKVzVl102sS6QNX1US2OpPINSvhI8eq2saM4uZd7JG2jytGjNkqjSyFQQpkcjcc3ztF/6B+qf+Di0/8AlHQBl1qQ/wDIF1D/ALCmj/8ApJrlHnaL/wBA/VP/AAcWn/yjrSil0j+yL4ix1IRjUtKDodVtS7ObbWPLZZP7HCqiqJQ6GJzIXjZZIxGyygHM0Vqedov/AED9U/8ABxaf/KOjztF/6B+qf+Di0/8AlHQBl1qa5/yGtY/7Cmof+lc1HnaL/wBA/VP/AAcWn/yjrS1iXSBq+qiWx1J5BqV8JHj1W1jRnFzLvZI20eVo0ZslUaWQqCFMjkbiAczRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdABD/wAgXUP+wpo//pJrlZddNFLpH9kXxFjqQjGpaUHQ6ral2c22seWyyf2OFVFUSh0MTmQvGyyRiNllzfO0X/oH6p/4OLT/AOUdAGXRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdAHMfErxJ/wist7qf2L7f9q8eeGPDfkfaPsvl/8ACZePtF8IfbfN8i43f2d/bn9ofZ/LX7Z9l+yefa+f9ph06b8R/FOkeFGutTl0XUtSkufHPhbw1JHHrtrYoH8Y+PdF8IPfoW0C9YJp7a4dSW0YsbkWwsjdwGb7XFredov/AED9U/8ABxaf/KOsISviK8Pa83JTwz9jyW9lzxxD5/afb9vyX5b/ALv2NtPaa+jXo8mWZbX+p+y9vic3h9e+sc/136tVyqPsPq1/9n/s76xye0svrf1/mu/q2mXWpD/yBdQ/7Cmj/wDpJrlHnaL/ANA/VP8AwcWn/wAo60opdI/si+IsdSEY1LSg6HVbUuzm21jy2WT+xwqoqiUOhicyF42WSMRssu55xzNFannaL/0D9U/8HFp/8o6PO0X/AKB+qf8Ag4tP/lHQAaH/AMhrR/8AsKaf/wClcNZddNo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3DN87Rf+gfqn/g4tP/AJR0AZdFannaL/0D9U/8HFp/8o6PO0X/AKB+qf8Ag4tP/lHQATf8gXT/APsKax/6SaHRof8AyGtH/wCwpp//AKVw1pSy6R/ZFiTY6kYzqWqhEGq2odXFto/mM0n9jlWRlMQRBEhjKSM0kgkVYjR5dIOr6UIrHUkkOpWIjeTVbWRFc3MWxnjXR4mkRWwWRZYywBUSITuAB71RRRQB/L94b/4J5ftZi5/aP0/4Yfs9S/sw/HbxhB/wVAm1L9s2H4q/CKwm/aC8OftKfF3xd4m/ZY+HcWteAPE3xC+LVlL4HstW8P8AieN/in8MrDwt8Gn8PB/BMfiHWfFfibRIL37P/wDwTZ8Y/Dv/AIZ18YWX7FPxCTTfhv8AtsSfEjQ/hn8epf8AgmHp3iL4N6frf7J3jT4c3Xxw8M/Dv9iHwb8Df2dvhf4T0z43z/DPXfEq/CXxb8Qvj/4yb4faF8V18NWvjPS9M8P2On/w8K/az/6K7/5YXwz/APmMo/4eFftZ/wDRXf8Aywvhn/8AMZX9HUfoq8e0MPTw9LPOE4eyweGwdOtDMM0hXpRwuCnl9OpQlHI+TCyjQkq9GjhaVHDYPNfbZ1g6VHM8dj6mK/myv9KngDEYiriauScVydbGY/GVKUstyiVCc8wTdaFSk87SrQ5pOnOVadSrisvjRybGTrZThcHQwvr3/BHb9kX9o39mr4z/AB68YfFL4BeMPgR4Q+MfwB/Zzl8UaX4hf9jSy0rVf2m/B/i3443fxiu/DOn/ALLPijxr418U+F3svG/huTwn8XP2ofiJ8aP2mPiJoTRS/Gj4xeJPFGkw2dh/QFXmfwW8Q6t4u+Dnwm8Wa/ef2hrvif4Z+A/EOtX/ANntbT7dq2teFtK1LUrz7LZQ21lbfaby5mm+z2lvb2sO/wAu3hiiVEX0yvwLNIVaGMq5fWjh4zyieJye2FjKOHUctzHN6EYUIyd44ei5VcNgqaSVHLsNl2HS/wBn5p/0NgK9LGYalmdH23Jm9HCZslXcHW/2/L8urqVZwjFSxNSnUo1sbVac8Rj543E1JSniJNFFFFecdoUUUUAFFFFABRRRQAySOOaOSGaNJYpUeOWKRFeOSN1KvHIjAq6OpKujAqykgggkV+XHw7/4JEfsw/DX4r+FviLpHiz4+6v4M+H/AMRtQ+LXwz/Zu8TfFN9X/Zt+GnxGvLie8tfFngz4dHQre+sdW0W+urm90me/8S6l5dxM320X0McMUX6lUUU/3WIhiqfuYmnHkhWjpOMed1YrrFunVbrUZThOeHrt18NPDV26zJ/vaE8NU9+hUfNOlLWEm6bpSvtJKpRlKhWjGcYV6EpYfEQxGHk6D/N3Xf8Aglr+zb4k+F3xh+Fmr6v8VZbX4u/tJ69+1jH4zs/FWi6T8QPhd8ZtdNgBrvwp8QaR4UsYNBttIisWt9It9e0zxPcRxX14b69v5fsklpzq/wDBJX9nSf4CfG/4F694+/aC8Z3v7RfiLwZ4k+L/AMdfHXxE0fxh8fvGFx8PNW0/VfBlhf8AjXXvB17oj6X4fGn/ANnWVu/hKSYade3qS3Ml08F3b/qJRUwhGnGUIRUISpYGhKMbpeyy2nldLBQSu+VUKWSZPS5oclStSyvAUsXUxlPC0oRuVScqka0pN1YYjEYqM38SxGLqYmriKr0tKU62NxlaKmqkKNbFYithqWFq1qlSXyh/wx58M/8AhoSb9pT+3PHX/CdTfs3t+y82k/2n4f8A+ETHgBtfi8RnV1sf+EY/tgeMPt0KxDUDrp0X7KWT/hH/ADiJx8zS/wDBJD9nCP4A/An4D6J48/aA8HXf7NniDxj4i+D3x08D/EPRvCPx98J3Hj7XtV1/xbY2njPQ/BtnoS6drFxqhs5oovCMNzFY2FiLe6hu1u7y7/Uiiql79+ZttypTunKMlOhmeZZzRnGcJU6kJU80znNsbGVOpTl7bMcYpOdCvLCrOKUIwhFJQp01ShBpSgqayvC5IqbhNTjKCynBYPAKM41F7DDUNPbU44lfmwv/AASv/Zth+CXw6+B1trnxbh0rwD+0Ton7U+p+Op/Fui6t8TPij8ZtHOoed4l+KXibXfCeq2uvnXY75YdbXSdH8P3E0VhYixu9PZLhrn23xJ+xV8IfF37Rvjf9pjxFe+M9S8W/EL9nPU/2X/E/hKTVdHj8A3fw21jWBrOpTxWEHh+LxNB4kuZC9m2oL4rawSykdY9JS62XSfXVFKpGNWNWFSMZQrLFqpDlioSjjsmocPYuHJCMIQhXyPDYfKpU6cKVOGCoUqVGnh3CNVVBuny8kpRcPZOMuaTnzUM3/t+lN1JSnUlUhnb/ALU9rOpUqyxn72pVqL90fjlpf/BFP4CaD4a+G+i+Hv2k/wBuLw7r/wAH9U8Sz/C/4k6B8e9M0b4h+AfC/i3SbHStc+G3hHV9P+H8Gl+Hfh9dNZPqY0fR9Esr9NS1PW2Grmy1nUbK49S8O/8ABJ39nDwp4C0v4Z6F4u+N1t4P0P8Aa70T9s7Q7C98a6Brt5pnxK0GzFjaeGV1vxB4L1XW9R8AzwJG+oW+t6jqnjW+uka8uPHDXU91NP8Ap3RWsatSE1VjOSqKtSxCndOSrUMXg8fSq80lJ80Mdl+Cxu9p4vDxxVWNbETrVq+cqcJxcJQi4OFWm42Sj7OthcwwNSCjHlSjLBZrmODSSShhMZWw1L2ND2dKj84r+zB4BT9q6T9sMav4w/4WZJ8D/wDhQTaGdQ0X/hBR4O/4TGHxt/aQ0z/hHx4g/wCEl/tWFbf7YfE50v8As8tF/Y32ki7HVfEP/kNWv/YLg/8ASu9r2SvG/iH/AMhq1/7BcH/pXe1mvdp0qK0pUI1IUYL4acauIxOLqRj1SnicZiq8ruX7yvUaaTUIXL3qlSrLWpVVFVJv4prD4enhaClsv3WHpU6MLJWhCKfM7yfB1/kH1/r4V/Chdf8ABr1+35Z3VzaS/F79j5pLW4mt5Gj8f/GgoXgkaJyhb9n9WKFlJUsqkjGVB4H3fBWZYDL/AO0vr2Lo4X231T2XtXJc/J9Y5+Xlp1Ph543vb4lv0+L4vy/G4/8As/6nhauJ9l9a9p7JRfJz+w5ObmqQ+Llla19nt1/m+r+vj/g1O/5vy/7td/8Afia+Qf8AiGD/AG+P+iu/sg/+F98Z/wD5wFfu3/wRQ/4Jg/Hz/gm//wANL/8AC8fF3wg8Vf8AC5f+FNf8Iv8A8Kp1/wAZ659g/wCFd/8AC1v7a/t7/hL/AAB4G+y/av8AhOdJ/sv+z/7U8/7PqP2v7D5Nt9r93iXO8oxmSY3D4XMMNXr1Pq/JSpym5y5cTRnKydGC0jGUneS0T32PF4eyfNMLnGEr4nA4ijRp+356k4wUY82HqwjdqtJ6ykor3Xq1tufvfD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuVl1+Tn6cFFFFAGprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1ZdABWpD/AMgXUP8AsKaP/wCkmuVl1qQ/8gXUP+wpo/8A6Sa5QBl0UUUAFamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNQBl0UUUAakP/IF1D/sKaP/AOkmuVl1qQ/8gXUP+wpo/wD6Sa5WXQAUUUUAZnxK8Sf8IrLe6n9i+3/avHnhjw35H2j7L5f/AAmXj7RfCH23zfIuN39nf25/aH2fy1+2fZfsnn2vn/aYdOsz4leJP+EVlvdT+xfb/tXjzwx4b8j7R9l8v/hMvH2i+EPtvm+Rcbv7O/tz+0Ps/lr9s+y/ZPPtfP8AtMOnWEJXxFeHtebkp4Z+x5Ley544h8/tPt+35L8t/wB37G2ntNfRr0eTLMtr/U/Ze3xObw+vfWOf679Wq5VH2H1a/wDs/wDZ31jk9pZfW/r/ADXf1bQrUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcrc84y6KKKANTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhrLoAKKKKANSb/kC6f/ANhTWP8A0k0OjQ/+Q1o//YU0/wD9K4aJv+QLp/8A2FNY/wDSTQ6ND/5DWj/9hTT/AP0rhoA+jKKKKAP4svF3inwVe6lBL4D0HxT4b0dbGKO5sfF3jLSvG2pS6kLi5aa7g1XRvA3w/tbexktXs4YtPk0a5uIriC5uW1OaO7itbKl4c8S+HLXWbOfxdpmua54eT7R/aGl+HPEVl4V1m63Wk6Wn2PXtT8M+MbGw8i+a2uLjz/Dmo/arSGezi+xzXEd/a+Cf20P7w/Mf/FUf20P7w/Mf/FV/q9HERjhvqyrYtx9lKl7aWLryxdpKS5/rjj7f2y5ny1re0i1BpXhE/wAnpYSUsT9adDCqXtY1fYxwlGGEvFxah9TT9h7F8q5qN/ZyTmm7Tkf1t/ELxLLof/BOPT/E3hDU/EvgXRYP2dfhjdX3iGx8TXNv4y8AfC+88P8AhOLx54psfGfh/RNNu7bxT4H+Gdx4i1+z8VaJoWjXFtq+kRaxp1poskcP2T5u+Gn7QX7OXhj9iP8AaN1jx7+2F4u039lXw9qvx+1T4UftFw/Hrxb8Qvi1rn7LHgy48H6f4w8b/DH466lqnjr4y/FbTPC3jvxnrHw18LfGDw9rPjLx7C+oeC7Twh42uPFM/g3XZ/0Q/ZVfzf2X/wBm+T/np8BPg+//AH38PfDrf1r3uv8ALDPqTWecWJTU1jMzzPDw9sp1uSVDPcwqRrVuapF15RlhuaFvYuU8bmLxP1iGI9lP/VDIZp5NwlUlGUFgsryyvUjhnChKoq2SZWuSjJU6kMPy+05LuniFTp4PLlh4U6mFc5fzB2Hxv8Dt8O/hbr3gL9tTx5qsGtt4p8W/sEeEvDf7fni39oXWvG/xx1j48eF4bn9mL4k/EPwz8VfiHpv7ZXjjwP4RvvCdv4r+EvxE+Ifx+8PfD7SfiX8QtK8Najrfgz4deHfinZf0+UUVyc69nUppTaniniISqTdScKf1anho05VZL2tarU5I1MViKjUsTUwuCrSp06yxXP2ezk67rt0481D2cqVGE4UvaPFVsTKVOEqtRU6UHUlDD0U5OhHEY2HtalOeHjSKKKKzNQooooAKKKKACiiigAoopkkkcMck00iRRRI8kssjqkccaKWeSR2IVERQWd2IVVBJIAJpSkopyk1GMU5SlJqMYxinKUpSk4xjGMYylKUpRjGMZSlJJNppNtJJttpJJNtttJJJJtttpJJNttJJtpN9Fcn4H8feBfid4Z0/xr8NvGnhP4heDdWa9TSvFvgfxHo/izwzqb6bfXOmaimn69oN5f6VetYalZ3en3q213IbW+tbm0nEdxBLGrPFvxC8A+AD4cXx3448H+Cm8Y+JdM8F+EV8W+JdF8NnxT4x1oyLo/hPw4NZvbI654l1YwyjTNC0z7Vql+YpBa2spRsU4yjJQlGSnKcKcYOLU5VKlvZwjBpTlOd1yQjBzndckJ3V5umpSTTUFUlNppqEaPP7aU2naEaXsqvtZScVS9lU9q6fs6ns+vooopDCiiigArxv4h/8hq1/7BcH/pXe16eNd0Ntck8MrrOlN4ki0qLXZfDw1G0OuR6HcXk2nwazJpIm+3ppU1/bXFjFqLW4tJLy3mtkmaaKRF8w+If/ACGrX/sFwf8ApXe0bpNap3s1qnyylCVmtHyzjKErN8s4yjK0oyjE6tdVa66q8VJXW6vGUZK6V4yjJXjKMnwdf5ZEn/BQz9v2V3ll/bk/bCkkkdpJJJP2mPjS7yO5LO7u3jUszsxLMzEliSSSTX+pvX+QPX6JwFRo1v7V9tRo1uX6ly+1o0qvLf6zfl9rSqct7K/Ly3sr3srfB8bVq1L+zfZVatLm+t83sqtWlzW+r25vZ1KfNa7te9ru1ru/1/8A8PCf2+v+j4f2v/8AxJb4z/8Aza1/fX/wRT+IXj74q/8ABMr9mjx78UPHHjD4keOte/4XJ/bnjTx74m1rxh4s1n+y/wBoD4q6Npn9reI/EN7qOsaj/Z2j6dp+k2P2y8m+yabY2djb+Xa2sESf5qtf6PX/AAQV/wCUT37Kf/dc/wD1pL4w16HHGHw9LKcPKlh6FKTzClFypUKFKTi8PiW05U6NOTV0nZyauk7XSa4ODa9ermdeNWvXqxWBqNRqVq1SKft8OrqNStUinZtXSTs2r2bT/ZKH/kC6h/2FNH/9JNcrLrUh/wCQLqH/AGFNH/8ASTXKy6/Kz9LCiiigDU1z/kNax/2FNQ/9K5qy61Nc/wCQ1rH/AGFNQ/8ASuasugArUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcoAy6KKKACtTXP+Q1rH/YU1D/0rmrLrU1z/kNax/2FNQ/9K5qAMuiiigDUh/5Auof9hTR//STXKy61If8AkC6h/wBhTR//AEk1ysugAooooAzPiV4k/wCEVlvdT+xfb/tXjzwx4b8j7R9l8v8A4TLx9ovhD7b5vkXG7+zv7c/tD7P5a/bPsv2Tz7Xz/tMOnWZ8SvEn/CKy3up/Yvt/2rx54Y8N+R9o+y+X/wAJl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/2mHTrCEr4ivD2vNyU8M/Y8lvZc8cQ+f2n2/b8l+W/7v2NtPaa+jXo8mWZbX+p+y9vic3h9e+sc/136tVyqPsPq1/9n/s76xye0svrf1/mu/q2hWpD/wAgXUP+wpo//pJrlZdakP8AyBdQ/wCwpo//AKSa5W55xl0UUUAamh/8hrR/+wpp/wD6Vw1l1qaH/wAhrR/+wpp//pXDWXQAUUUUAak3/IF0/wD7Cmsf+kmh0aH/AMhrR/8AsKaf/wClcNE3/IF0/wD7Cmsf+kmh0aH/AMhrR/8AsKaf/wClcNAH0ZRRRQB/n/8Ajrwzrnw71e30TX9S8F6heXWnQ6pFN4F+I/w7+KGkLbT3N5aJFca/8M/FHi3QbPUVlsZnm0e71KDV7e2ezvZ7GOz1Cwnuc3wnp2p+NPEGn+GdHvfDlnqOpfavs9z4s8X+EvAXh+P7HZXOoTf2h4s8da14c8K6TvgtZY7X+1NZs/t161tptj9o1G8s7WfwD+2z/fH5Gj+2z/fH5Gv9Ko43EKhySxFOWI9m4/WFh4xp+0aly1Pqv1iUeVNxbpfWbS5Wvax5m4/5rywNB1+eOGqRw/tFL6u8RKVT2acean9a+rxlzNKSVX6tePMn7KXKlL+8Twf4+u/gF+wd8KPGE2kaT4v8Q+DP2evgzo+jeHdO8ZaCmg+L/HWpeE/CHhHwl4ds/iFpLeJPDaaN4m8Y6npGkQ+M9IHiPSEsL9dc0uHXLUW8N32PwW+PXi/x/wDC34h+JfHvwnbwx8V/g94p8c+BfiL8Kfhl4xX4safe+L/Bthaa9Z6f8LfHOv8Ahj4Ry+NbHxj4b1nw1qPhy98UeDvhvdxX+tHR/EGlaJLp13cjiPgV8O9H+MX/AAT7+Afw617Udc0bTvGf7KfwU04694XvLbT/ABP4cvn+GPhS60nxP4Zv72y1OxsvEfhvVobLXdBur/TNTsINW0+zkvdNv7VZrSb1H4G/s/x/A3SYtPtfix8U/iNqOp6r458VfEbxN8R/+FZT6/8AFzx/451PQLx/H/jZvBHw08DaRpGteF9J8Pw+EfCWg/DHSPh38PdO8LXcthfeCtUu9P8AD2oaL/nHmyqSzviZVqvKqmPzGOFrRhTbp4r+1sylVrU6T5owu1ivaQxEsRSn7fLI017PB472/wDovlXLHJ+GXRh7tPLsBLF0pzladBZTlfsKMqiUZyvH2FOFSiqNSnUp4+rV0xGDjS+Gta/4KaeJLez/AGM59N/Z7TR7r9pzSvFni74l2nj/AMWfGK5sf2b/AAR4N8d+C/A+saj418Zfs5/svftNfDu01CG58WXcz698UvGHwS+Bdvc+GtUtLv47QWk1lqs36z18V6r+xH4Uv/Cfw2+HmnfGX47eHfhr4Jt9V0jxl8ONL1r4c6j4N+OfhPVvFEni+fwl8VNM8V/DDxJLptpFqs91DF4o+DV38JPiNLpN1Jo1942vNNjtreD7Urhou+DpqtBQxft3OpyzlUj7OeX5RzU4ydoqlRzCGZQw3xV61KdbEYt0pVMFh490lNYh8r5sPHD8kZNRjKdZZjm0o1JxWqqSy+eWxqqKhQpyp0qVBVZrHYhlFFFBYUUUUAFFFFAH4+f8Fcv2iP2sP2evCPwg174AXPxG8D/C+fVvHOr/ALQPxu+E3wH8J/tGeM/hp4f8MeG4bvw1Dc/D/wAf6x4d8EWHhHXr+7v5/EXivXfEGhLo8eh272+t2zltF8SfJXhn/gpT+0F4g/YL+Dl/8PvjZ8IPjH+0n8dv2r/D37JPh744QeAfEPhjTvh1N8QoBrGjeK/id8MtS8FeH9CtPib4X0u+trG50Xw3pXiD4XXF2LbU9I1f4iWOnalBrf64/tY/sQ/Cv9rqf4ca94p8WfFr4U/En4R6rq2pfDr4x/AbxwPh38VPCsHiGxXT/Eejab4lfSdct49I163itRfxvpj3sZtVXT76xiu9TjvvKLX/AIJZfstH9mnxd+zN4hX4leONM8c/EDUvjB4m+MHjTxzNrPx51D40XzOLX4vf8LAXTrWCDx3pEBis7K7g0FNHvrOO5g8RaLri634j/tnPCp06WNjioSrwqZngcTGlCs4V8RgaWb5dicXg6WKuo4KFXLKWMwqlH6rWTf1Tmr0sbVzPB6YlqdTAyw0o0ZUsBjsPKpKkp0aOMr5bnFDDY2vh9ZY2WHzHEZTi40/39KcMNKcoYepho4LMfjq4/bA/aw/Yd+Mfxs+AX7TPxW8P/tiPpn7HXxB/a4+FfxL0/wCFOgfBzxDYan4ATV7C7+G/jHwd8PZr7Ro/CmpXOgXF7Z+JwZdVhnmlha9u47qLT9C9X/Y+j/4KV+MtB+DX7SvxS/aa+Dfxb+B/x2+E+r/ETx38Eb34QaT8O9R+Dtj428MQ+Lfhza/CfxX4Z0TV9T+I11pT3troviC2+J+paZZ2+hpfRfaPFmtXFtr9n9H/AAI/4Jw/An4LXvxR8QeI/FHxm/aV8efGHwXd/DDxt8S/2pPiLL8WPHt38Kb+1W2vfhhZawNK0C3sPBl44lu7yzh0/wDtG8uJVW71Oa0sdLtbDzv4Mf8ABJj9nT4L/ELwj46t/iF+0h8StL+Fq+Kf+FG/Cz4vfF+48bfCX4CT+LBLb3V38KfCDaHpzaXdabpc8ulaTLr+p+JPKT7Pq96t/wCJ7DTtetFWhUnhcVRlOFXF1cnxGFp4v2ahh41KseLY/VJ5e4qFXEzoZnw3Qjm8/ZtVMqnUm6EKEaubTeKnTnThOnRhmEa08M6jlWqKOE4fpxxNPGqTlhqEcfgs4xby6PtlGnjYxjCtKvLDYH8svhh+1/8AG7Q/+Cd/7Eel/DX42/D74DfEn4w+JP2krm50v4N/snaN8TvjX43h+Hvj/wAbtoXg/wDZ5/Zb+Fnw40b4K3F74hv1gtPGWv8AjO8+GelWsksWuDxJd6xd61JNwNt+1J8av2p/2f8A9iPWvj3canq3jz4Xf8FpPhZ8Im8UeIfAel/C/wAX+JtJ8Or/AGxY3njj4e6A8vh3wf4y0x/ENx4f13QdClmstMn0hLKe4vtSt77VL/8AWqf/AII8/s8W/wAN/gB4C8I/Fz9qP4Za7+zY/wASI/hx8Yvhf8VdF8EfGFdI+KviHVvEvi7w9q/ibR/AsWkS6Rc6hrN1FbHSfDej6pFp4NhLqdxb3eprf9P4U/4JO/s4eCfDXhbwd4e8XfG6Dwz4L/bA0j9tPw1pmoeNdA16TT/iZottbWlr4Yl1jXvBepeINU8ATRWkDX9tq+rX/jW+uFkvLjxy93cXE8vo0q1FZnVxdVN0nneU4+inFzdGjlebZJWhVoXlKpTlPKqWaUalDmpKWJtTjTq068MasMVGU8NWo0LRlUwfEOH5k/Z+1Wc5dxtQVHEJL2c0sbm2QzhVaqSpYWnKUqkK+FqUa35D+L/+Cm3/AAUS8efGf4x+O/2e/Bn7RXjP4efCT47+IPhp4S+Bvwr/AGINP+LnwP8AiH4X8B+IbTTNXf4kftK2viNvir4I8fa5pFxf6rd6J4S8HX1npcieGFh+x22r6i9r7P8AHX9qL/goP4t+Nv8AwUgtPgx+0rp3wM+G37H/AMIvhp8a9C8G+IvgV8NvGnjGSXVPhCvjG/8AhsL/AF/RVOi22tXw1q78Ta74jXxhrWi6tpmhab4es7TS59Zjf9APHv8AwSH/AGX/AIg/Fnxd8RtS8V/HzR/BnxH+IGmfFP4o/s2+Gfik2j/s1/E/x7pt3BqMniPxx8OV0Ge+1O91PVba31TUBbeJrGH7ZCv2CKxtnlt5PadV/YB+DWr+LP2xvGM/iL4kwaj+278P9D+G/wAVLS01fwrFpvhzQfD/AIOvPBFjcfDqB/Bks+j6m+kXss88viO68WWbX6RSQ2MNsrWj+TShiKeWYWnzXzHD5ZmKU5zU084eU5DQw+IqzalRxOGxWc4XN8yo0q8KsMBSxEKVWlCNarl8O6c6MsxxFVRUcFWzHLpckYWtlcc7xFfE0KdN3nRr4XIp0cDOpSdOWNxCnKnUrNU8VT/M/wCAv7Zn7bdp+0x+wlqfx1+KngXxt8J/29fgJ8RviZ/wpXwV8H7DwRpnwVn8F/Da18eaVceGPFV1qXib4ieM9S1e3s7V7z/hI/EcmkNJ4i16207RUgtvDl5Y+Ww/tmf8FFL/APZL1f8A4KuQfHj4Y2fwQ0/x/d3Nl+w7L8IfDf8AY918LbD4lxfB6WzvPjvdi1+JFv45k1IXWvItuk2n3OpxW95b+Tp15/wr61/YTR/2BPg5ovjX9jTx3beJPiVLq37Dvw31v4XfCe1udY8LSaZ4i8P694FtPh9eXfxFgj8GxXOr6vHotlFc28/hu88JWS6m0k0unzWhWyT5+k/4I2/spN40vNSj8V/tCW3wX1H4gj4oaj+x9a/Fu4g/ZKvvGQEE7ahc/CpNE+2yWzaza22uf2Z/wlI0+O4t4NFhtovCEEPhpPRqul9a/wBmao0qeKx0MDiKlH6xTwmAjxlDH4WWMy+c4/2rVxnCanl1q9Z1sJXnUw1WvThXhmGX8NFONGCrxlWvh8tljaEKvsqmMr0+Hs0wOLo4XGpXyzkzmWU4916UVDEKjOvGE61Orh8f8o/sk6B8ZPFn/BYr9rH4h2fx7uoPA9x8MPgn8QfFXgW++EfhO2vfG/w8+IngK/vfhb8NbzWjef2n4OuvhG+p6VPceJ9Lim1nxtNpD2viCC2S9uCv7DXN34y1DV/ER+Jmg+GPCMln4i1ew8DJ4F8W6r8RU8RfDm3uW/4RnxV4sk8QeCvhc3gzxtq7PfjXfAGjxePdC8Oi2s20/wCJXik30y6f5vf/ALDPw0m/bAsv20tC8f8Axp8EfEY+GdI8KeLfBPgrxvY6J8JPibpWg6XqOj6MnxH8J/8ACOXOp+Il0y0vbN7Kzj8R2Gk297oOh6jHpy31tdXF77d8Q/8AkNWv/YLg/wDSu9rOLpxwGW4anTdFYKlj8OqEp+3lToyzzPMZhL4txjLE82AzDAxlKcY1IV6GLlUXtMXUlN8tV4rF161RVp4iGWTnXhH2MKtejkuTYLGNYVaUX9ewGNqRlH3amHxODpw5aeChCny/k6L/ANBDVP8AwT2n/wAvK/x86/1+K/yB6/RfD7/mbf8Acj/7tHwfHX/Mr/7nP/dYK/0if+CB8elt/wAEmf2UTcXl/FMf+F6b44dNt7iJf+MlPjGF2yyarbO+U2s2YU2sSo3BQ7f5u1f6PX/BBX/lE9+yn/3XP/1pL4w16XHn/Iow/wD2MaX/AKj4k8/gr/ka4j/sAq/+n8OftJFFpH9kXwF9qRjOpaUXc6Vah1cW2seWqx/2wVZGUyl3MqGMpGqxyCRmizfJ0X/oIap/4J7T/wCXlEP/ACBdQ/7Cmj/+kmuVl1+Sn6gank6L/wBBDVP/AAT2n/y8o8nRf+ghqn/gntP/AJeVl0UAdNrEWkHV9VMt9qSSHUr4yJHpVrIiubmXeqSNrETSIrZCu0UZYAMY0J2jN8nRf+ghqn/gntP/AJeUa5/yGtY/7Cmof+lc1ZdAGp5Oi/8AQQ1T/wAE9p/8vK0ootI/si+AvtSMZ1LSi7nSrUOri21jy1WP+2CrIymUu5lQxlI1WOQSM0XM1qQ/8gXUP+wpo/8A6Sa5QAeTov8A0ENU/wDBPaf/AC8o8nRf+ghqn/gntP8A5eVl0UAank6L/wBBDVP/AAT2n/y8rS1iLSDq+qmW+1JJDqV8ZEj0q1kRXNzLvVJG1iJpEVshXaKMsAGMaE7RzNamuf8AIa1j/sKah/6VzUAHk6L/ANBDVP8AwT2n/wAvKPJ0X/oIap/4J7T/AOXlZdFAHTRRaR/ZF8BfakYzqWlF3OlWodXFtrHlqsf9sFWRlMpdzKhjKRqscgkZos3ydF/6CGqf+Ce0/wDl5RD/AMgXUP8AsKaP/wCkmuVl0Aank6L/ANBDVP8AwT2n/wAvKPJ0X/oIap/4J7T/AOXlZdFAEfxK8QaX4V+06qRf3013488J+G5bUW1vbRQ/8Jn8QND8IT3sd19uuHn/ALJTXZNSit2tYP7SazSyefThdG8ttjydF/6CGqf+Ce0/+Xlcx8SvEn/CKy3up/Yvt/2rx54Y8N+R9o+y+X/wmXj7RfCH23zfIuN39nf25/aH2fy1+2fZfsnn2vn/AGmHTrCEr4ivD2vNyU8M/Y8lvZc8cQ+f2n2/b8l+W/7v2NtPaa+jXo8mWZbX+p+y9vic3h9e+sc/136tVyqPsPq1/wDZ/wCzvrHJ7Sy+t/X+a7+raank6L/0ENU/8E9p/wDLytKKLSP7IvgL7UjGdS0ou50q1Dq4ttY8tVj/ALYKsjKZS7mVDGUjVY5BIzRczWpD/wAgXUP+wpo//pJrlbnnB5Oi/wDQQ1T/AME9p/8ALyjydF/6CGqf+Ce0/wDl5WXRQB02jxaQNX0oxX2pPINSsTGkmlWsaM4uYtivIusStGjNgM6xSFQSwjcjac3ydF/6CGqf+Ce0/wDl5Rof/Ia0f/sKaf8A+lcNZdAGp5Oi/wDQQ1T/AME9p/8ALyjydF/6CGqf+Ce0/wDl5WXRQB00sWkf2RYg32pCMalqpRxpVqXZzbaP5itH/bAVUVREUcSuZC8itHGI1aU0eLSBq+lGK+1J5BqViY0k0q1jRnFzFsV5F1iVo0ZsBnWKQqCWEbkbTmzf8gXT/wDsKax/6SaHRof/ACGtH/7Cmn/+lcNAH0ZRRRQB/mLf2wf+eg/76P8AjR/bB/56D/vo/wCNYPxG+Jfhzxvrdrqvhn4WeAPg9YW+lQafN4Z+HOpfFDU9EvruK7vrmTXbq4+LfxK+KXiRNVuYbu30+eGy8QWeiLaaZYvbaNb38mpXuoZXgnx1pHhXxPpmva74J8K/ErSrD7b9q8E+NrzxrYeGNa+1afd2UH9p3fw58ZeAPGUX9nXNxDq1l/Y3i3SfM1CwtI9Q+36U99pl7/fCzKq6PtHSnGpyOX1d1KDnzK9qftYyeH5pWSU+b2a5ld2Urfwg8tpqr7NVISp86j9YVKuocrtep7KUVX5Vdtw5faPldldxv/o//sSv5n7GX7I0mc+Z+zF8A3z67vhV4UbP619O1+aUVrd/EL/glD8M08M+BXk03xN+yF8CdR1b4VeAdP8AFfiaXUfhrc+BPAuqfEL4X+CNJv8AxBrPjjxHNrPw3HiTwX4Y0u+8Sa/4q1qW8sbO61HXtWupHvb/AOxJ4W8KWXwX8ffC7wZ8Pfir8APgx8SfH3xz1r9nXwLD8KPid+z7f/C/4IyyeFdCuYND8M6x4T8Lal+zZean461/xX4z+F/w48Taf8P/ABvDouqTeIvCHgyw0/QNWh0D+E8yqVK2b8RKNO1TD4vG4ilCVRRVWrWzLHydCpV5JQp/xKns6lFYnm+oZnKdJKlhaeJ/uHL4xo5Zw9Hm5qeIwWEo1JwhJujSw+W5evbKneMp2jCNSpTqSoNU8XgIwnKpVr+w/R6iv5xPFHwB1LR/hH+yv4N8Tfs/fGXxz8SvDHwpm8Ifsf8AiS5+E/xa+KHij9nj9ovT/wBoq11O7+I/jj4t6hZ+I7/4GavqvgePwTrV58bPi1rnhYeJfCnhPx1o+oeOfEV34mufC/iT+juuKjKNbCrEpuKlVpQjGUXCUoVsty/ME3Gb9pCrh5Y36ri6Uk40a8sNCFWpOWJVHrlKUMTLDuK92g6kpxlzxU447HYNxUlFQlTqLCe2w9SLUqkIYqUqcIQws8QUUUUywooooAKKKKACiiigAooooAKKKKACiiigAooooAK8b+If/Iatf+wXB/6V3teyV438Q/8AkNWv/YLg/wDSu9oA4Ov84qf/AIIH/wDBWa2nmt5v2Udk1vLJDKn/AAvT9mttksTmORdyfGNkba6kblZlOMqSMGv9HWv84Sf/AIL5/wDBWe5nmuJv2r981xLJNK//AAor9mpd8srmSRtqfBxUXc7E7VVVGcKAMCvteEJZtH+0P7L/ALP1+q+3+v8A1j/p/wCz9l7D/t/n5v7vL1PkOKo5XL6j/aX17T6z7H6l7D/px7T2ntv+3OTl/vX6C/8ADhX/AIKw/wDRqf8A5nP9m3/58Nf2uf8ABJD4C/Fj9mL/AIJ7fs/fA744+FP+EI+KXgj/AIWt/wAJR4X/ALd8NeJf7M/4SX43fEnxfon/ABO/CGsa/wCHb37b4d1/SNR/4l2r3f2b7X9ku/IvoLm2h/kt/Y3/AOC1/wDwU2+Kv7Xn7K3wv8fftL/294F+JH7SHwO8A+NND/4U1+z9pf8AbPhPxh8TvC/h7xHpP9p6L8KdO1jTv7R0fUbyz+3aTqFjqVp532ixvLW6jinT+/Cr4txucezwuAzOOXctSTxlOWBWIunSc8PyzdeVrP2rdoxd7J8y2ccL4PKvaYnG5dLH80IrC1I4x4ezVVQr3gqMb3Xs0ruS3a5XutSH/kC6h/2FNH/9JNcrLrUh/wCQLqH/AGFNH/8ASTXKy6+HPsgooooA1Nc/5DWsf9hTUP8A0rmrLrU1z/kNax/2FNQ/9K5qy6ACtSH/AJAuof8AYU0f/wBJNcrLrUh/5Auof9hTR/8A0k1ygDLooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigDUh/5Auof9hTR/8A0k1ysutSH/kC6h/2FNH/APSTXKy6ACiiigDM+JXiT/hFZb3U/sX2/wC1ePPDHhvyPtH2Xy/+Ey8faL4Q+2+b5Fxu/s7+3P7Q+z+Wv2z7L9k8+18/7TDp1mfErxJ/wist7qf2L7f9q8eeGPDfkfaPsvl/8Jl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/wBph06whK+Irw9rzclPDP2PJb2XPHEPn9p9v2/Jflv+79jbT2mvo16PJlmW1/qfsvb4nN4fXvrHP9d+rVcqj7D6tf8A2f8As76xye0svrf1/mu/q2hWpD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuVuecZdFFFAGpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw1l0AFFFFAGpN/yBdP/wCwprH/AKSaHRof/Ia0f/sKaf8A+lcNE3/IF0//ALCmsf8ApJodGh/8hrR/+wpp/wD6Vw0AfRlFFFAH+TN/a49/1/wo/tce/wCv+FUvij4D8TfCDxBZ+GvFmsfDfVtRvtHt9chufhd8Zfg/8cPD6WVze6hYRwXniz4K+OfiB4W0/WFn0y5kuPDt/rNt4gtLKTT9SutMh07VtKur3H8A6BrPxJ8W6T4L8O6j4P07WNa+3/Y7zx98Q/h98KfCUP8AZ2mXmrXH9rePvij4n8HeBdB8y1sJ4rD+3PEenf2pqb2ei6Z9r1jUdPsLr+xVmlN0/bKpF0uVz9om+XkV7yvyp2Vn9i+j919f5EeU1FU9k6c1V5lD2biubmdrRtzNXd19u2q1XT/UL/YGfzP2Ff2LJP7/AOyZ+zk//fXwe8HN/WvrOvgH4GeNr/8AZ4/4Jn/s3+JbvStC8ZeJfAf7JX7Ofh/SvD+iePPDF14Y8Y+Prz4c+A/BvhXw/pXxO8OT+LPB9x4f8UeM9R0nSbTx54dn8VeH5dM1CPxDon/CQWDWqXnS6H+1j4sT9nj4sfEzx58JtC8NfGX4N+Mtd+FHif4R+Hfim3inwNq/xaXUdA03wHoXhP4y6z8P/A99f+EPH8vjbwFLbeLdc+FPhvWdBTxDdwan4IbUNGlsrv8AkPMKsamY5xKHNUdDGYmtOMISlOUMVmlWlRVGNouvOVXHYGEoU2pQeOwfO4qveh/WOBg6WAyiFS1P22CoU6cptRgvqeWUquIlVn7yowp0sFjZuc7xksDjOVSeHarfbNFfkPr/APwUy+Inhbxt8HPhR4j/AGd/B+j/ABM1z4i/EvwT+0S0XxL/AGhfGvwl+Bej/DTxH8K9OufHGk/Fv4TfsR/Eey1Pwr4l8N/FnRPFOheKf2ifDv7JHw+086dq2heM/HfhPULYvX68VhGPPQhiYOM8PVqVKdKtCSlCq6dOhVc6bsnKjKGIpulWcIQq8tZU4y9hWlHo50qjou8asaaqTpSi41KSdfE4ZwrRbbpVo1cJWU6Mm5xh7Ko/3eIoSqFFFFSUFFFFABRRRQAUUUUAFFFFABRRX4+/F/8AbD/bg+IX7Tfx+/Z8/YN+F37OfiNP2UfCvg/Vvizq37QGveMoNR8feLPiDoB8T+GPAnwstvCGs+H9M0TVjYWWpaZLqnjrUYvD02rkPqWreGbCzim1mede1p0UpudSniKz5YTnGlhsJCjUxWKrOEZShh8PHEYdVJRhVqOdejSpUK9WooK1B+zqVW4RhTnhqV5zjDnr4yv9WwtCm5uMZVq9ZSjCMp04KNOrUq1aNKnOpH9gqK/mr/af8W65dftmftBeNviV8KtN0bxHN/wQ18feIPHHwZ8U+JLjX9H0/WG+ILXmveAtZ8WfDTxFoF3rGlwXf2nR7jXfBvifQ7y+tAb3StS0u4kieDrvAX7a/wC2Pb6p+yb+yr+yF8Jf2WbC18Q/8E3Pg9+0HZJ8Urv4wweGfh40FhBZX+kW+o2njrxL4t8ReF7fSNNs/C3hjRb57/xUda1iw13xJ47u9M0zVVuTnjGh7Wo0pJV5TVJxr0oQwn+utbF1ZYiEuSVGlgOCsbjo1qSqQnTqyhZThh1i1KLVSMY6QlHDS5qydCd8XhOGK1Gn7Gaco1frfE+DwUoVXCziqqk4yqqj/RNRX86/wf8A+Csv7YXjOw/Yh+Mvjr4Jfs+eHf2dP2nfjZov7MWvWfhzxL4+1r4wyfFC4v8AVvDWp/EHQI759O8IeDfh8/iG1+1ab4P1V/iD4lj0/RdT0+78Us+saXrdrn/tk/8ABYj4+fst/HHxXpb2H7Gx+GnhD4q/8IPbfBSfx/4u+Iv7V/jnwp4f1DQbXxP43N98JdX8QfCb4LJrNrq8994Z8M/Gw+G/GtnFpt8s3hXxBPa+RPv7Gf1nB4T3fbY3HVsuopyXLHFUZ5RFQrOzlTVaOfZNXouNOu3hsxpYivDB06WMeDzUnKGInGFSX1fC0sXKCg/aVKVWvm2FaoxbiqlSlisjzTC14OpRUMThlRjOtOvh/bf0cV438Q/+Q1a/9guD/wBK72vyG/Z78V/td6//AMFlf2r9L1TXvhJqPwl8O+AfhrH4i0XUdU+J15rfhr4Ra14f1vWvhRa/CnTri5m8NaN441HxBdabqXxggvo4PDF3cT61eeGxLey28rfqnc3fjLUNX8RH4maD4Y8IyWfiLV7DwMngXxbqvxFTxF8Obe5b/hGfFXiyTxB4K+FzeDPG2rs9+Nd8AaPF490Lw6LazbT/AIleKTfTLp+VNOpgsBjGuT6/h62IVCX8WgqWYZlgPZ1UrrncsunNuLcVN1qSv9WlUrjnB4jE0aclVhQeF5MRC7o14YrLstzGE6Tai7ezzKlZSipOlLD1nb6yqWHya/x/6/2FPJ0X/oIap/4J7T/5eV/j11+icBf8zX/uS/8Ado+F42/5lv8A3N/+659gf8E9f+T+/wBh3/s8D9mj/wBXR4Kr/VAr/LB/4J4hD+39+w0JWdIz+2H+zMJHjQSOqH40+Cd7JG0kSyOq5Ko0sYYgKZEB3D/VS8nRf+ghqn/gntP/AJeVz8ef75l3/YJX/wDUqJvwV/uuP/7CqP8A6jSCH/kC6h/2FNH/APSTXKy66aKLSP7IvgL7UjGdS0ou50q1Dq4ttY8tVj/tgqyMplLuZUMZSNVjkEjNFm+Tov8A0ENU/wDBPaf/AC8r4M+1MuitTydF/wCghqn/AIJ7T/5eUeTov/QQ1T/wT2n/AMvKADXP+Q1rH/YU1D/0rmrLrptYi0g6vqplvtSSQ6lfGRI9KtZEVzcy71SRtYiaRFbIV2ijLABjGhO0Zvk6L/0ENU/8E9p/8vKAMutSH/kC6h/2FNH/APSTXKPJ0X/oIap/4J7T/wCXlaUUWkf2RfAX2pGM6lpRdzpVqHVxbax5arH/AGwVZGUyl3MqGMpGqxyCRmiAOZorU8nRf+ghqn/gntP/AJeUeTov/QQ1T/wT2n/y8oAy61Nc/wCQ1rH/AGFNQ/8ASuajydF/6CGqf+Ce0/8Al5WlrEWkHV9VMt9qSSHUr4yJHpVrIiubmXeqSNrETSIrZCu0UZYAMY0J2gA5mitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygAh/5Auof9hTR/8A0k1ysuumii0j+yL4C+1IxnUtKLudKtQ6uLbWPLVY/wC2CrIymUu5lQxlI1WOQSM0Wb5Oi/8AQQ1T/wAE9p/8vKAMuitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygDmPiV4k/wCEVlvdT+xfb/tXjzwx4b8j7R9l8v8A4TLx9ovhD7b5vkXG7+zv7c/tD7P5a/bPsv2Tz7Xz/tMOnUfxK8QaX4V+06qRf3013488J+G5bUW1vbRQ/wDCZ/EDQ/CE97Hdfbrh5/7JTXZNSit2tYP7SazSyefThdG8ttjydF/6CGqf+Ce0/wDl5WEJXxFeHtebkp4Z+x5Ley544h8/tPt+35L8t/3fsbae019GvR5Msy2v9T9l7fE5vD699Y5/rv1arlUfYfVr/wCz/wBnfWOT2ll9b+v8139W0y61If8AkC6h/wBhTR//AEk1yjydF/6CGqf+Ce0/+XlaUUWkf2RfAX2pGM6lpRdzpVqHVxbax5arH/bBVkZTKXcyoYykarHIJGaLc845mitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygA0P/kNaP/2FNP8A/SuGsuum0eLSBq+lGK+1J5BqViY0k0q1jRnFzFsV5F1iVo0ZsBnWKQqCWEbkbTm+Tov/AEENU/8ABPaf/LygDLorU8nRf+ghqn/gntP/AJeUeTov/QQ1T/wT2n/y8oAJv+QLp/8A2FNY/wDSTQ6ND/5DWj/9hTT/AP0rhrSli0j+yLEG+1IRjUtVKONKtS7ObbR/MVo/7YCqiqIijiVzIXkVo4xGrSmjxaQNX0oxX2pPINSsTGkmlWsaM4uYtivIusStGjNgM6xSFQSwjcjaQD3qiiigD/G6/tYf89D+Zo/tYf8APQ/ma8x/tY/3z+R/wo/tY/3z+R/wr+m/rv8Aef8AXyP50+or+Vfj/mf6xX7H3w70b4w/8Es/2Q/hzr2o65o+m+Mv2Hf2adNOv+GLy20/xP4cvn+CngW60nxP4Zv72y1Oxs/EfhvVoLLXdBur/TNTsINW0+zkvdNv7VZrSb0bQ/2ONC0r4SeKvhNqnxp+N/i0fEGL4g6r8R/iJ4gvPhTa/Ebxz8TfHWqeHdU0z4zahqPhX4TeGfDXhzx78Mv+EY0vTvhppXw/8K+Dvhdo+lxQ2uufDjxGdM0SXSqH/BNt/M/4J2fsESdd/wCxb+y0/wD318DfArf1r7Sr+a8bCLx2ZySaeJxWIhWlGU4ylCnjcRUp2lGcZU5QnCjUjOjKjU9phsHUdR1MFgp4X+g8Hf6pl17S+r4Wl7JSjGcYe2wNCjWThOMoTjUpzrU5Qqxq03DE4uChGONxixXwPbfsCaFHoOi+HtR/aR/aa1+z1HxN4k8T/H0a5rPwYvLT9rC58Uazp+sahZ/Gzw9F8Ebbwj4Xt7eLSdN8PaXf/s1eHf2ffEOneErCz8L2+tjRrS2tYvviiisU3GHs42jT51U5IRjGClGjTw8FGMYpRhSw9KFChRjy0MNR56WGo4enWrQraqEVLns3PkdPnlKUpOLr1cTPmlOUnKdXEV6letVlzVsRVcKmIq150qMqJRRRSLCiiigAooooAKKKKACiiigAr8tfjx/wTx+Kfir48fEr4+/st/tleNv2SfEnx58J6F4S+PumaR8MfC/xQsPHUPhPSotA8La74Xudd1zw7qHw18VaVoTX1kPEmhXF3q8Vzcx6lot3od3/AGk2rfqVRUOEXUp1WrzpxrQWslGdLE040sTh6sYzhGthsTThThXw9W9KqqdJyUZ0qdSFqcowqU0/dqOjKSai2qmGrRxOHqwcoydOth68VVoVoJVKc3JxupShL8pvGX/BMCLxN4y8aeKIv2hvHOor4t/YE8RfsOPffEzSr/4n+P7mbxBr0uvXHxl8XfEHUvGuj3Pi3XZbiaU33hhdG0O0nlcjTta0fT4rXTLfo/gv/wAE5v8AhUPxt+D3xj/4XH/wkP8Awqf9hvwt+xh/wjn/AAr3+yf7f/4Rqe2m/wCFk/2v/wAJxqf9lfbfs+3/AIQ7+y9S+zb93/CUz7cN+m1FVNKpCpCesatPFUpqyinTxuG4iweJiuSMFFVMNxXn1JckYezWOTpKnLC4N0I6RWvufV+W7ba+qvJnQbcpSlJwfD+UNuUpObwr53L2+IVT8gfDf/BKT/hH/wBnz9iT4Ef8L6+1/wDDHH7TVp+0X/wlX/Crvs//AAsb7L478V+Nv+EO/sP/AIWLN/wiHmf8JP8A2Z/wkP8AbHijb9h+2/2G32n7Jb+KePP+CKfjLxNpH7Qvw98L/tveKfBnwS+OPxeufj1B8M/+FC/D7XdQ034p3HirRPEUWp+OfiRLr+m+N/iR4b0u2stWs9G8Kx3/AIMtLTUrjQddurq/n0TVLTxP+9NFa+1qfWHiuZqu8RUxTmrJSr1K/D2KdSULckuTFcKcP4qjGUHCjictpVqcOepW5x6pJpSSTilJJ2UqueVppXWiqviTO6VazXtcNmFbCzfsFTjH89rP9iXx14c/bnvP2yPAv7Rd54V0Px14F8HeCvjh8FX+Fuha7p/xPXwRoWoaPod5YeONT8RnUvAdvbzvo2qpbaPod9qP2jTb61l1ybT9amtbX6l+If8AyGrX/sFwf+ld7XsleN/EP/kNWv8A2C4P/Su9qE3GjSoKypUHiPYxSX7tYrF4nHVacZay9ksVjMVUo0nJ08PGvOlQjTpPkIUIxlKavzSp4WlJuUnzRweEw2BoSkm7SqrC4PC0qtZr2uI+r0p151KkFI4Ov8f+v9gCv8sGT/gnj+39E7xS/sNfthxyRu0ckcn7M3xpR43QlXR0bwSGV1YFWVgCpBBAIr7/AIFrUaX9qe1rUaXN9T5fa1aVLmt9Zvy+1q0+a11flva6va6v8VxnSq1f7O9lSq1eX63zezpVKnLf6vbm9nTqWvZ2va9na9nZv/BPX/k/v9h3/s8D9mj/ANXR4Kr/AFQK/wA2f9hb9hb9tzwj+23+xz4s8Wfsc/tUeGPC3hj9qj9nvxD4l8S+If2e/i3ougeHtA0X4t+EdS1nXNc1nUvCNtp2k6PpOnW1zf6nqd/c29lYWVvPdXU8UEUki/6TFc/HFWlVxeXulVpVVHC11J0qtOqot4mLSbp1KiTa1SbTa1Sa1N+DaVWlhccqtKpSbxNFpVKdSm2lh5JtKpTptpPRtJpPRu+hqQ/8gXUP+wpo/wD6Sa5WXWpD/wAgXUP+wpo//pJrlZdfDn2IUUUUAamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNWXQAVqQ/8AIF1D/sKaP/6Sa5WXWpD/AMgXUP8AsKaP/wCkmuUAZdFFFABWprn/ACGtY/7Cmof+lc1Zdamuf8hrWP8AsKah/wClc1AGXRRRQBqQ/wDIF1D/ALCmj/8ApJrlZdakP/IF1D/sKaP/AOkmuVl0AFFFFAGZ8SvEn/CKy3up/Yvt/wBq8eeGPDfkfaPsvl/8Jl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/2mHTrM+JXiT/AIRWW91P7F9v+1ePPDHhvyPtH2Xy/wDhMvH2i+EPtvm+Rcbv7O/tz+0Ps/lr9s+y/ZPPtfP+0w6dYQlfEV4e15uSnhn7Hkt7LnjiHz+0+37fkvy3/d+xtp7TX0a9HkyzLa/1P2Xt8Tm8Pr31jn+u/VquVR9h9Wv/ALP/AGd9Y5PaWX1v6/zXf1bQrUh/5Auof9hTR/8A0k1ysutSH/kC6h/2FNH/APSTXK3POMuiiigDU0P/AJDWj/8AYU0//wBK4ay61ND/AOQ1o/8A2FNP/wDSuGsugAooooA1Jv8AkC6f/wBhTWP/AEk0OjQ/+Q1o/wD2FNP/APSuGib/AJAun/8AYU1j/wBJNDo0P/kNaP8A9hTT/wD0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8b+If/Iatf+wXB/6V3teyV438Q/8AkNWv/YLg/wDSu9oA4Ov4rf2YP+Dkf9uP4+/tVfs8fB/xj8Kv2UdN8M/Gr9oL4S/DXxVfeGvA3xes9d0/QviP8RvD/hfXLvw/c6p8dNZ0+11a10/WbqbSp9R0zVbOC8jgkvLC+gWS3l/tSr/Kj/4J3/8AKQD9hj/s8T9mX/1dXgmvruGcDg8Zhs5nisPSryw+GjOjKopN0pPD46XNC04WfNTpvVS1hHTdP5fiHGYrC4jKYYavUoxr13GtGDilUiq+CjaV4SuuWpNaOOknrs1/quUUUV8ifUGpD/yBdQ/7Cmj/APpJrlZdakP/ACBdQ/7Cmj/+kmuVl0AFFFFAGprn/Ia1j/sKah/6VzVl1qa5/wAhrWP+wpqH/pXNWXQAVqQ/8gXUP+wpo/8A6Sa5WXWpD/yBdQ/7Cmj/APpJrlAGXRRRQAVqa5/yGtY/7Cmof+lc1Zdamuf8hrWP+wpqH/pXNQBl0UUUAakP/IF1D/sKaP8A+kmuVl1qQ/8AIF1D/sKaP/6Sa5WXQAUUUUAZnxK8Sf8ACKy3up/Yvt/2rx54Y8N+R9o+y+X/AMJl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/2mHTrM+JXiT/hFZb3U/sX2/wC1ePPDHhvyPtH2Xy/+Ey8faL4Q+2+b5Fxu/s7+3P7Q+z+Wv2z7L9k8+18/7TDp1hCV8RXh7Xm5KeGfseS3sueOIfP7T7ft+S/Lf937G2ntNfRr0eTLMtr/AFP2Xt8Tm8Pr31jn+u/VquVR9h9Wv/s/9nfWOT2ll9b+v8139W0K1If+QLqH/YU0f/0k1ysutSH/AJAuof8AYU0f/wBJNcrc84y6KKKANTQ/+Q1o/wD2FNP/APSuGsutTQ/+Q1o//YU0/wD9K4ay6ACiiigDUm/5Aun/APYU1j/0k0OjQ/8AkNaP/wBhTT//AErhom/5Aun/APYU1j/0k0OjQ/8AkNaP/wBhTT//AErhoA+jKKKKACivwA/Z81n9hqz+OerS/E7VvDcP/BXO1/ag/aY0/U7XQbHxLrn7YF14fn8Q/FWf4T6P4103wxpmsfEpf2Jn/Z1ufhtqngxvHVtbfsoWMUfw21a3vLPx1D4XuR8heOf27dZ/as+Cvw0t7z9stvCfhr4XfD3/AII4fFP9o/4meBI/2etM074cftCeMv2yrrw18d9O+Jur+NPhx4q8LfD/AMWeBtR8P+Edc8c/DjxLo2g6f8OvEWheF7PWfDun6ZqviXw7rbwSeNeWU4OLqY+eVOcqclUw1PDZnPLFLE4eteEsXDLnmdPBZhGNKHJnUIZVSqPE43C4anVaDoxxtSSnGGEWPiqdSDp4qpXwUMVKnQlQvJU55jHDLGZclKcq2V1v7QdOrRw9bEVP6vKK/BL4EftQfHL4x/Hv4k/DA/tbeItf8Ua94e/b00L41fAfwt4H+Blnr3/BP8/Cf4pQ+Bv2VfHWhzwfCu78ceFfEHxP8COfF2ir+1Hqfxa8MfHW7vP+Fi/CPw9pfw48O6toE3g/7AP7IPhPQviP/wAEb9SuPG+ua/o/gz/gnd8av2jrDwbq3wl/ZLs/DV18aPiDrn7Os3iX4kSS+Gf2bvD3ifRviFqNt8Z7jTNS+JvhHxJ4b+J/iKx8EeHG8WeNPEF94u+Nt78W3g4PFvDzuqWHxFHDVo1Gpzny1cHnuYVeSMF7KtCnhcljSp16NWrhq+OxVfDRrL+w88WFnENUKeJd+evh6mLpukvdjJ4f+z6VK83rSlWxePcZUq1OnWo4SjQxs6bp5vlDxH9MtFFFSAUUUUAFFFFAH5p/8FgPHnjj4Z/8E6/2ivG/w38ZeK/h9400S0+HTaL4u8EeItX8KeJ9Ia++LfgPTb1tL1/Qbyw1XT2vNOvLuwujaXcRuLK6ubWUvBPLG3jl7+3HqPxX+AH7WkXgPwd441b4R/s4fsz61p/jX9p3wl8ZD4A8ZeI/jtpfw0XWfFfgX4O6gPAnjOeLXvB0MqNrfxavr6ZfDvjB4o7Twl4jgEF/efXP/BRL9m/xx+1x+x18Yv2e/hvqvhTRPGnxCt/B0Oi6n43vtX03wxat4e+IPhTxXenVL3QdC8S6rCsunaFdw2ptNFvS97JbRyiCB5bmH4di/wCCYvxN+E2n/tE/Dj9mzV/hX4X+A/7UH7Iknwu8cfDXX/EfjLTLHwX+0ho3gCbwPoXxP8E22neB/EUF34Z8WWOyL4iz6hc6d4o1LULqXxRMmu3en2WivwyjWeE4jpOMpSxPJPLY2vz4ujwzKFJzlzxqU8H9YjjKMVQq0IzzyeWfXY1MHP2q7YSoqtkVTmivq+KqfX29OTA1uIMklVcPclCeL+rxdVe3p1lHKKOb/VfZ432cKlLwz/wUm+Jvg4fshfs6/B39lT4nftO/Eb4wfsNfDH9oLw3e+Jf2iPC1v4xnmvbGazvdP+KnxD8ZeBvDug31xFp2h3mp6/8AFS4bTJ/EXii+sdMs/AUFzrMTQdlpf/BYHw5e/slX/wAebz9nvx3bfGy1/aJu/wBkqz/ZhsPENrq+uav+0IrpPp/g7T/HUHh+CGXSbjS54bi+14eEDdWOqJd6Ja6Fqlyunzanv/AD9gX4w/Cr9pv9kf40eIfEnw0vPC/wE/4J8eEf2T/GFho2seKLjX9S+IugXc095rXhq1vvBunadeeCpUkUW2o6pquja47AiXw5CME/Pt1/wSc+Olz8DPjFoGm/E74Y+F/jnF/wUQ8U/t2/s5+KLOXxJrnhHTrqZNNj8M+GfiM194R07VNLuJ1hu5dabw7pXie10+6ttLltptctzd2T+xipUZ4rFynOpKhXx+YV6lfDxhLFUcJDxKqYOlHAUuSnRqVK/A1d5hTp1aEp1KdJYmkqOLpU8FiPLoRqRwmF5IwjiKWGwdKNCtKUcPWxNbgzPcVWnjanPOrSpYfiyhk+EqSo1YxpfWp0pqrh61Svg+X+HP7b3xv0z/go58aPEv7VXgj4r/sz+Bvg9/wTx8SfE7x3+znd/Fiy+LHgOy1Lwv8AEjRtSi+IXgiXwjqVt4B8W6xrvhG+g0mLXrfR9I1i01sa34PvJxFpcl7de7/sof8ABZDwv+0V8bfAfwh8X/CLwx8LbX406V4g1P4J+IfDv7TnwZ+OWs63NoelHxJHoXxY+H3w6uW8TfAjxJqvhsiaw0TxqJryXxFDqHhVEkv9Oupl5DT/APgnJ+178ePj38b/AIuftr/Ej9nuTTPjl+xd4q/ZfuNH/Z4j+JNtB8OtT1LxppOtaBeeGtM8faYtz4h0Wzi0mTxbquqa34rstRu/E+s3fhqLQl8O2Fpqk1j9ij/gmx+0F8FPip8Ldf8AjLpH/BP/AEbwT8C/CeraH4a1r9nv9m/wtD8b/jLrsulSeHdA8X/Fv4meOfhla+JPB2v6PpzNq95qPwq8Rabd+ItWuLqx8QyapaT3N5dcadWNGlSnGlGVDIsd7OnQbnTeMqYzj7FSbxFTnlLMqdarwo8BQqyr0KlHFuhHnwlPELL9MXq8bWwrqyqVcXg1CdSMVL9zk/DeGpQp4eKhT+oPEQztY2tGNGpz4enOrONWrRr4zR+E3/BYfxP41/Z8+Jf7WvxB/Y+1/wCGf7NXw28O+IIW+IsHxo8L+MNU8Z/FfTvG+leDND+GPgvwMPCXhvxFe2mty67pc934+1ePRPD+i30WuaU0GoHRje3foHwq/wCCmnxm8RftDfsu/s7fG/8AYZ8Xfs9+Iv2nNC8d+LtD17W/jP4U8b6Np/hLwt4JvPGOj3umR+GfCiX2q+INROnXOm+KvBviaDwDr/gb7Xol3c2+snVfslp5BrH7B6/CL/gjd8SP2WP2lviHovh1/DQ8Y+PdW+Jnwu8LfEb4s6H4Slj+LEvxK8N6/J4c0XwPB471TRNJAsk8dXFh4UC6DoH9v6w15DpumS6tF8E/sw/Gz4zft2ft6fsV6hcfHL4afGe9/Z7+F3x/03xv4y/Z1+Ffxy8G+DPhhpnib4WXngrwx488U6/8cfCngzVtc+JXjrxJd2xvINI8OaB4PsZdG0q30C1W4vdVji2puE8fWw1CH1t4anhJ+yUoxjXw3+puf5piq8qvNBUcdLinD4XAcmI+q5fRyujhL1putjMTW1xsYwoYrERqLC0KuJ4go4WtyzqKjWp8UZZl+R0qVNqUsRhJ8OYipmPuyr4/EY2rNeyhFUKFL9KYP+CvHiLRP2jvhL8H/iz+yD4r+DPgD45fEy2+HHw28W+O/jB4I07453Ueua9q3hHwf408WfsjXOk2nxa8D+CvEfijSZbJPEev3EOjx6bImp6Zf63NNZabe8v4/wD+Cn/7U3jS1/bU8Ofs4fsSXevW37KniT42/Drxb8cL79oT4faBovha88B6bqw0HxxpPg7xj4Alu/F+trHpep+JtR8A29tqOm6bb2Oi6ffeI9RPiRFtfl74Tf8ABGj9q3wJrv7PFxrl7+wteR/s8/tReE/jLN8R9D8LfE6P9oD46+F4vGOreI/E938Wfilr2gaxdRa7pNumkL4N8AaRZ3PhK51C/uLzWfFVrdeFtPvfEX6hfAT9iXx74B8F/wDBQ7wV458T+EBa/ti/HP4+fEDwbqPhO51nVrjw14Q+L3h1tB0tfE9rrGheH44vEmmGWS4v9N0q41fTPkSO31u43sycWIp1P7KxHJUnWxlHI89lRUHUoTx+YqPDc8njNfucRRrzhi+IaTp05YGo54SnGbwkqOHlPejUprM6cpU1RwdTNsh51PkxKwWC/tXiCGcOlJKdHEUqWBw2QVZTrU8XCarynTjVVfF0Y/Avwi/4KzfE74I/sX/sr33xx+DP/CV/Hz422uqw/C64+Iv7T/wm8AeGvi94A8J6DoGva98cfHvxi8dGz8L/AAi/ti+1690Lw/4C8Tx3mtXuraVBp0E1pHqemJXuepf8FovCcP7LnhT9oLw/8Cr/AMZ+Lpf2otE/ZX+I/wAHvCHxX8KeKrrwz4x1XSta1o6t8PfiF4U0fxB4S+MOkahYabZ/8IZe6OdA0Xxjc6g8Vtr2nRWL3E3zoP8AglB+2Rqnwk/ZbHjK9/YS8e/GH9jyTxB8PPh34M+Inhf4j/EL9nv4ofArxFothCLT4waf4i8KDU/+E/8ADmvR6he6Pd+FPCljYz20mmyvqFhquni9l9p1z/gl78c9a/Zq+DXw9fWf2WdD+Kuhfts/D79qX4kWvwr+FmgfAr4Q6L4Q8I2+tWC/Dz4f2nwy+Fen6341vdDsL20h0LxJ8TdLTxJqyTXdtrfiWGCxsRL6cnRrY2tzShTw1TO8mpQlShGkqGUTzjhrDVKtGDg4Si+Hv7axGcw9nfA4yg1RlGrDD0MX5sFUpYfDpRlOrDLc0nVjKpKoquYwyjiquqcqqfOl/bkeHqGUVHOTxVDESnUjVpVMRLBfWP7L37e3j/4wftLfET9k74+/steIf2XvjF4R+G2n/F/w7pF58UfCnxd0zxZ8PbvXLXQZtTn17wbpWn6LoupQ3uqaSsOmWd/4jhlc61a3Oo2F7o32a++nrnXtV8Xav4ifxB4K8T/C5vDviLV/CujxeOrvwbqD+PdC0i5Y6f8AErwmfhn4t+Isdn4J8Um5mXQrDxzJ4M+I1udPvP8AhJvAHh1XsGvvCdP/AGU/iHa/8FMtd/bNk1nwY3wv1P8AZLtfgNb6Cmo64fHqeL4PiJYeLn1KbS28Or4eXw2dNtZIFvE8Uyaob5kiOjiAtcr9OfEP/kNWv/YLg/8ASu9rnTjLCZfNxUMTLC1VjIJybVejmecYejOak2o1MRl2HyvFVVB+zlUxEqsIUFVeHobyUo4zHQjJzwyq4SeFqcsVFxr5ZgMRiqUOXV0sNmNTG4akp81SEKapTq4h01iKnL/2faf9BzS/+/Otf/Kev8pH/gnYof8A4KB/sLI0iRK37Y/7MatLIHKRhvjX4IBkcRJJIUQHcwjjkcgHYjNhT/qtV/lR/wDBO/8A5SAfsMf9nifsy/8Aq6vBNfbcIf7pn3/YJH/1GzI+Q4p/3rJP+wmX/qRl5/q4f2faf9BzS/8AvzrX/wAp6P7PtP8AoOaX/wB+da/+U9ZdFfDn2J00VjajSL5P7Y00q2paUxlEWr7EK22sBY2B0oSF5A7MhSNkAik8x42MSyZv9n2n/Qc0v/vzrX/ynoh/5Auof9hTR/8A0k1ysugDU/s+0/6Dml/9+da/+U9H9n2n/Qc0v/vzrX/ynrLooA6bWLG1fV9VdtY02Jm1K+ZopItXLxlrmUmNzFpUkZdCdrGOSRCQdjsuGOb/AGfaf9BzS/8AvzrX/wAp6Nc/5DWsf9hTUP8A0rmrLoA1P7PtP+g5pf8A351r/wCU9aUVjajSL5P7Y00q2paUxlEWr7EK22sBY2B0oSF5A7MhSNkAik8x42MSyczWpD/yBdQ/7Cmj/wDpJrlAB/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T1l0UAan9n2n/Qc0v8A7861/wDKetLWLG1fV9VdtY02Jm1K+ZopItXLxlrmUmNzFpUkZdCdrGOSRCQdjsuGPM1qa5/yGtY/7Cmof+lc1AB/Z9p/0HNL/wC/Otf/ACno/s+0/wCg5pf/AH51r/5T1l0UAdNFY2o0i+T+2NNKtqWlMZRFq+xCttrAWNgdKEheQOzIUjZAIpPMeNjEsmb/AGfaf9BzS/8AvzrX/wAp6If+QLqH/YU0f/0k1ysugDU/s+0/6Dml/wDfnWv/AJT0f2faf9BzS/8AvzrX/wAp6y6KAI/iVrFv4V+06v8AaLC+e98eeE/DbWRk1S1ltv8AhNviBofg972SYaNcwv8A2MNeOpzW8TN9tWxezgnjeeOdNj+z7T/oOaX/AN+da/8AlPXMfErxJ/wist7qf2L7f9q8eeGPDfkfaPsvl/8ACZePtF8IfbfN8i43f2d/bn9ofZ/LX7Z9l+yefa+f9ph06whK+Irw9rzclPDP2PJb2XPHEPn9p9v2/Jflv+79jbT2mvo16PJlmW1/qfsvb4nN4fXvrHP9d+rVcqj7D6tf/Z/7O+scntLL639f5rv6tpqf2faf9BzS/wDvzrX/AMp60orG1GkXyf2xppVtS0pjKItX2IVttYCxsDpQkLyB2ZCkbIBFJ5jxsYlk5mtSH/kC6h/2FNH/APSTXK3POD+z7T/oOaX/AN+da/8AlPR/Z9p/0HNL/wC/Otf/ACnrLooA6bR7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWGb/Z9p/0HNL/7861/8p6ND/5DWj/9hTT/AP0rhrLoA1P7PtP+g5pf/fnWv/lPR/Z9p/0HNL/7861/8p6y6KAOmlsbU6RYp/bGmhV1LVWEpi1fY5a20cNGoGlGQPGEVnLxqhEsflvIwlWM0extU1fSnXWNNlZdSsWWKOLVw8hW5iIjQy6VHGHcjapkkjQEje6rlhmzf8gXT/8AsKax/wCkmh0aH/yGtH/7Cmn/APpXDQB9GUUUUAclc+Kfs9zcW/2Df5E8sO/7Vt3eVIybtv2dtu7bnG44zjJ61B/wl/8A1Dv/ACb/APuavLdSvPHH/Cc39p/wjvhT/hC/tt1/xP8A/hM9X/4Sj/j1kl/5FD/hA/7J/wCQt/oX/I7/APIO/wCJn/x8/wDEoql9s8cf8JR9k/4R3wp/whf/AEH/APhM9X/4Sj/kHeb/AMih/wAIH/ZP/IW/0L/kd/8AkHf8TP8A4+f+JRWHt4/8+8T/ABvYf7tV+L/n5v8A7v8A9RH8LyPR/s2r/wBBeU/7h/aP/I2wX8P/AKBfh/5Gn/Uq/wB8/vH0bbTfaLa3uNuzz4Iptmd23zY1fbuwu7buxnaM4zgdKmr8uv2y/jB8Y/h/4jsdR+HXxj1P4WaV8F/gz4d+Nc/gi38NfCvXdD/aS1XVvix4b8BTfC3xdd+OPDHiLxvpfh6z0/ydFhl+EOrfD3xgfF/xR8H3Q8WalHYw+FNX+iv2n/Gnxo8FeMf2WJfhx4r8I+HPAXir9oXwz4G+MWm6t4Qn8R+LvF3h3xJperrpGg+ENal1ux0fwTAmo2cmpeI9butB8T6tfWlnaaLocegS3t1rltpSmqsaMopr22bYXKFzWtTrYyvUw+GxFSSk1HDTqUa/M4qdam6cISpSq4inGl5tVqjOvCWrw+WVs0ly6qdLD0IYmtQp3tfERp1sO0pOFKbqvlqRVCq5/XdFfgbqHxY/4KJX1t8d/C+jfFjRU+J37QPxFtNS/Y1e1/aK/ZP/AOFa/D74J6V+063g/WY7Lxa3/BPfxHZ+B/iZq/wgvbWLSPD3iXUP+CjOra1qWk67q1n4f8Oa5ol34Tv+r8GfHL9r/W/iz8D/ABTP8W9Xt/2fPCXgn4cfBb4qwX3xH/Zw8S+LvFn7UfivxF8Wfh/qvjT4kfCvw9+w94T8ZeLfhnb65pngbxda+KvCHxf/AOCflle+B7G98XaJ8J9Yi1C+8GacqVVVqNKtBK1bD0MRGEqlGEl7bLp410pyqVaVGFSli54DIqrqVqVGOeZnh8JKvSw1DF5lGq3LRqVqcpxbo1MTTk4xqNSeGq4aClBRpzm44ijVxuPotU5yeXZRmGMlTcXhKGI/ceivhL9hPU/ilrvhX4g+IPFP7Rnjv9qv4T6x4l0af4H/ABv+JXgL4OeAdc8d6TB4bsbTxr4h8C23wO+Hfwr8IeIfgFqviyC4uvgv4x1LwfPrnjLSm1rxbovjn4lfCjXfhd461z7trprUnRmoSd5ckJyXJVpyg5qTdOpTr06VanUhy+9CrSpTUalCcqVF1nh8NCleVWPLJeyr1qN5cvv+xlGLnHlnUSjJycXFzlOnVo4mhUbqYapKZRRRWRQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV438Q/wDkNWv/AGC4P/Su9r2SvG/iH/yGrX/sFwf+ld7QBwdf5qP7Cv7B37cfgv8Abj/Y48UeMf2Mv2rvCfhnwn+1d+z1r/irxF4m/Z2+L2haF4a0LQvi94Q1HXNa8Qavqng+10/RtJ0bT7W6vtV1HUbi2s9Os7a4ubyaGCGR1/0rq/it/Zg/4OR/24/j7+1V+zx8H/GPwq/ZR03wz8av2gvhL8NfFV94a8DfF6z13T9C+I/xG8P+F9cu/D9zqnx01nT7XVrXT9ZuptKn1HTNVs4LyOCS8sL6BZLeX6rhypmMMPm6wOGw1eEsPFYmWIxEqEqUPYY1KVKMYSVSXI6suVuK5oQV/fbXzWfwwE6+VvGYjEUZxrt4eNChGtGpP22DbVRynH2cedUldJ6Sm7e6r/2pUUUV8qfSmpD/AMgXUP8AsKaP/wCkmuVl1qQ/8gXUP+wpo/8A6Sa5WXQAUUUUAamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNWXQAVqQ/8AIF1D/sKaP/6Sa5WXWpD/AMgXUP8AsKaP/wCkmuUAZdFFFABWprn/ACGtY/7Cmof+lc1Zdamuf8hrWP8AsKah/wClc1AGXRRRQBqQ/wDIF1D/ALCmj/8ApJrlZdakP/IF1D/sKaP/AOkmuVl0AFFFFAGZ8SvEn/CKy3up/Yvt/wBq8eeGPDfkfaPsvl/8Jl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/2mHTrM+JXiT/AIRWW91P7F9v+1ePPDHhvyPtH2Xy/wDhMvH2i+EPtvm+Rcbv7O/tz+0Ps/lr9s+y/ZPPtfP+0w6dYQlfEV4e15uSnhn7Hkt7LnjiHz+0+37fkvy3/d+xtp7TX0a9HkyzLa/1P2Xt8Tm8Pr31jn+u/VquVR9h9Wv/ALP/AGd9Y5PaWX1v6/zXf1bQrUh/5Auof9hTR/8A0k1ysutSH/kC6h/2FNH/APSTXK3POMuiiigDU0P/AJDWj/8AYU0//wBK4ay61ND/AOQ1o/8A2FNP/wDSuGsugAooooA1Jv8AkC6f/wBhTWP/AEk0OjQ/+Q1o/wD2FNP/APSuGib/AJAun/8AYU1j/wBJNDo0P/kNaP8A9hTT/wD0rhoA+jKKKKAOGu/DN/cXd1Ok1oEmuJpkDSTBgskjOoYC3YBgGGQCRnOCRzVf/hE9R/57WX/fyf8A+Rq9BooA8r8W/BD4O/EfWfhl4q+Jvwm+GPxE8Y/BvV18S/CnxX428B+FvFviH4Y+K2is45/Evw61zxBpN9qngvXZvsFmH1nw5caXqUi2lqHn/wBHiCdLF8PfAMFnZafB4H8Hw2GmeLtR8f6dYxeGtFjs9P8AHmsazqviLVvG1lbJZLDaeLtU8Qa7reu6j4kgSPWb3WdZ1XU7m9lvdQu55uvooj7q5Y+7H2jrcsfdj7Z1KVV1uWPLH2zq0KFV1be1dWhQquq6tCjUoj95ty95unGk29W6UI1oQpNu7dKEMTiYwpNulGOJxEY04xxFeNf58vf2Sf2VNS0v4xaHqP7Mv7Pl/on7Q+r2viD4/wCj3vwY+HF1pfxz16yumvrLW/jFp8/huS0+Jur2l673lrqXjWHW7y3uma4imSZi5v337L37NGp6/wCFfFepfs7/AAL1DxT4F+HF98HPBHiW++EngC71/wAHfCLU9Ku9C1L4V+FdZn8Pyaj4e+HGoaHf32jX3gfSLmz8MXelXl3p1xpclpcTQv7pRUezg4ez5Iez5IUvZ8kPZ+yp4PFZfTpez5OT2VPL8fjsvhT5PZwwGOx2AhThgcbjMFi3d83Pd87nOo53fO6lTE4TG1Kjnfnc6mNwGAxtSbnz1MZgMDjJzni8DgsVg/D/AIIfsyfs2/sy6Vrmhfs3fs+fA/8AZ80TxPqFvq3iXR/gh8J/Afwo0rxDqtnbGztNT1zT/AegaBaatqFraE2tve38NxcwWxMEUixErXuFFFaylKbTnKUnGMYRcpSk4wguWEE5Sk1CEfdhBNQhH3YRjHQiMYxuoxjFSlKbUYxinOb5pzajGKc5y96c2nKcvelKT1CiiipKCiiigAooooAKKKKACiiigAoorifiV8QfDPwm+Hfjr4o+M7qay8I/Drwj4i8b+Jrq2ga6uYNC8L6Td61qj2tqhV7q7+x2cwtbVGD3NwY4EIaQVnVq06FKpWrTjTpUYTqVakr8sKcIuUpOyk7JLZRlJtxjGMpSjGV0qdStUp0aUJVKtWpClShGzlOpUnGnThG7SvKc4xV5RV3dyjFSlHtqK/LT9mT/AIKB/HT48+NPhr/wmP7Avxh+E/wI+Omg+JPEvwY+Pdv4y0T4naTf6NpdomteHdQ+Lnhbwl4fhufghY+M/D0kU+hXnijW7+31HW7qy0vQpNe0uS68RWXiPwh/4LC+I/G/wC+I37WfxH/ZB8R/C/8AZl+HGg67BP8AEmz+MnhXxtrPjD4p6f460nwXo3w08D+AD4X8K+INTg1l9d0y4uPHWst4f8O6TqEOt6O63n9kNqF1pUvSdVVIzhOhhXi69KUJKtQgsZHLlRrUbOrSxs8xnRy+lgJ0/rlfG4jDYWhRr1cRTtNNe25PZNVVVxVHB0ZU2pQr1q9DEYqnLDzXuV8P9WwmLxNTFU5PD0MPhcRVryowpS5v25rxv4h/8hq1/wCwXB/6V3tfMf7Kv7W37RPxj8eXvw//AGhv2F/ih+yzd3nw+034keCfF0vjLTfjH8NvEOkXd/8AYLvw94g8deF/DOgaT4C+IUPnW1/Z+ANe3+JbjS49SvNSstENtYQ6v7tc+LdK+Iur+IpPD9p4n09fBniLV/AGsDx14K8ZfC57zXfDtyzahf8AhOL4maD4Rk8e+CbgX0P9hfErwMniL4c+KSl4vhnxVq7affi20qUp0uVTSTkpNJThJpwq1qFSE1CUnTqUq2HrUqtKajUhOm01KMoVKmVOrTqpypy5o2pyUuWSjOFajSxFGpTk1y1aVahWpVaVWnKcJwmmnFqUI5Nf5Uf/AATv/wCUgH7DH/Z4n7Mv/q6vBNf6uH9j3f8Az20v/wAHmi//ACwr/KR/4J2IZP8AgoH+wtGpQNJ+2P8AsxopkkSJAW+NfghQXllZI40BPzSSOqIMs7KoJH2nCH+6Z9/2CR/9RsyPkuKf96yT/sJl/wCpGXn+q1RWp/Y93/z20v8A8Hmi/wDywo/se7/57aX/AODzRf8A5YV8OfYhD/yBdQ/7Cmj/APpJrlZddNFpV0NIvo/N03c2paU4I1jSCgEdtrCsGlF8Y0cmRdkburyASNGrLFKUzf7Hu/8Antpf/g80X/5YUAZdFan9j3f/AD20v/weaL/8sKP7Hu/+e2l/+DzRf/lhQAa5/wAhrWP+wpqH/pXNWXXTaxpV1Jq+qyLLpoWTUr51EmsaRE4DXMrAPFLfJJG4B+aORFdDlXVWBAzf7Hu/+e2l/wDg80X/AOWFAGXWpD/yBdQ/7Cmj/wDpJrlH9j3f/PbS/wDweaL/APLCtKLSroaRfR+bpu5tS0pwRrGkFAI7bWFYNKL4xo5Mi7I3dXkAkaNWWKUoAczRWp/Y93/z20v/AMHmi/8Aywo/se7/AOe2l/8Ag80X/wCWFAGXWprn/Ia1j/sKah/6VzUf2Pd/89tL/wDB5ov/AMsK0tY0q6k1fVZFl00LJqV86iTWNIicBrmVgHilvkkjcA/NHIiuhyrqrAgAHM0Vqf2Pd/8APbS//B5ov/ywo/se7/57aX/4PNF/+WFABD/yBdQ/7Cmj/wDpJrlZddNFpV0NIvo/N03c2paU4I1jSCgEdtrCsGlF8Y0cmRdkburyASNGrLFKUzf7Hu/+e2l/+DzRf/lhQBl0Vqf2Pd/89tL/APB5ov8A8sKP7Hu/+e2l/wDg80X/AOWFAHMfErxJ/wAIrLe6n9i+3/avHnhjw35H2j7L5f8AwmXj7RfCH23zfIuN39nf25/aH2fy1+2fZfsnn2vn/aYdOo/iVqVx4V+06z9nsL9L7x54T8NrbnXdLtJYv+E4+IGh+DkvZFMtxMn9mHXxqM1vLbxeYto9vPPYo8l3b7H9j3f/AD20v/weaL/8sKwhK+Irw9rzclPDP2PJb2XPHEPn9p9v2/Jflv8Au/Y209pr6NejyZZltf6n7L2+JzeH176xz/Xfq1XKo+w+rX/2f+zvrHJ7Sy+t/X+a7+raZdakP/IF1D/sKaP/AOkmuUf2Pd/89tL/APB5ov8A8sK0otKuhpF9H5um7m1LSnBGsaQUAjttYVg0ovjGjkyLsjd1eQCRo1ZYpSm55xzNFan9j3f/AD20v/weaL/8sKP7Hu/+e2l/+DzRf/lhQAaH/wAhrR/+wpp//pXDWXXTaPpV1Hq+lSNLppWPUrF2EesaRK5C3MTEJFFfPJI5A+WONGdzhUVmIBzf7Hu/+e2l/wDg80X/AOWFAGXRWp/Y93/z20v/AMHmi/8Aywo/se7/AOe2l/8Ag80X/wCWFABN/wAgXT/+wprH/pJodGh/8hrR/wDsKaf/AOlcNaUulXR0ixj83Tdy6lqrknWNICESW2jqoWU3wjdwY23xo7PGDG0iqssRc0fSrqPV9KkaXTSsepWLsI9Y0iVyFuYmISKK+eSRyB8scaM7nCorMQCAe9UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeW/HD4U6L8dfg38U/gx4juriw0P4p+APFngHUtQtIoZ7vTbbxTol7o7anZw3H7ia701rtb61jn/cvPbxrL8havUqKyr0aeJo1cPWjz0q9OdKpG8ouUJq0kpRalF6RlGUWpQnCE4tShE0o1amHrUq9KXLVo1IVacrRlyzpzjOLcZJxkrxtKEoyhOLnCcZQnOMvyV/ZQ/Zy/4KWfCi/wDgz8Kfip+0H+zjY/sv/s/eHLnwjo1t8HvAevXnxd+OXhjQdPi8PfD7QvinP8RtBvPDvw+t9M0q2sdR1TUPhhfNrMktpPoE1/rEmor4v03kfh9/wTA8WXf/AAS11n9gT4teOfCWl+NdT1jxT4gsfHngRNW8VeG9E1qX4r3HxM8I3kdv4i0fwdqeowxtHZadr9qbLT5BBPqMWnXrOtveH9mKK2rSniPrMqtSbr4ynh44nFxlyYyrWwubU88oY54iCUo46nmlGji4V6cIQhOjBU8JSjKv9Zig/q0sO6EYwhhMT9Zw1CzeHpP6hjssdCNGTalhp4LMsbSqU6k6k6vtlKriKjo0FR/PX9lvwD/wUitfH0PiP9sX41fs7nwF4Z8CW3hbQvhT+zZ4Q1ufT/HfidpAJfiL8RPGfxN8NWPivRNW020i8iDw54Bl03wvrNzex3s1losOkSaf4g+pviH/AMhq1/7BcH/pXe17JXjfxD/5DVr/ANguD/0rvaupVlVaco001ztuEFBznVrVa9WpUabc6lSrWnJv3YQioUaFHD0KdOhHGlRhQioU+ZQjGjThBybhSpYehSw1GlSjZKFOnRo042XNOck6larWqydV8HX+VH/wTv8A+UgH7DH/AGeJ+zL/AOrq8E1/quV/lR/8E7/+UgH7DH/Z4n7Mv/q6vBNfacIf7pn3/YJH/wBRsyPk+Kf96yT/ALCZf+pGXn+q5RRRXw59iakP/IF1D/sKaP8A+kmuVl1qQ/8AIF1D/sKaP/6Sa5WXQAUUUUAamuf8hrWP+wpqH/pXNWXWprn/ACGtY/7Cmof+lc1ZdABWpD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuUAZdFFFABWprn/Ia1j/sKah/6VzVl1qa5/yGtY/7Cmof+lc1AGXRRRQBqQ/8gXUP+wpo/wD6Sa5WXWpD/wAgXUP+wpo//pJrlZdABRRRQBmfErxJ/wAIrLe6n9i+3/avHnhjw35H2j7L5f8AwmXj7RfCH23zfIuN39nf25/aH2fy1+2fZfsnn2vn/aYdOsz4leJP+EVlvdT+xfb/ALV488MeG/I+0fZfL/4TLx9ovhD7b5vkXG7+zv7c/tD7P5a/bPsv2Tz7Xz/tMOnWEJXxFeHtebkp4Z+x5Ley544h8/tPt+35L8t/3fsbae019GvR5Msy2v8AU/Ze3xObw+vfWOf679Wq5VH2H1a/+z/2d9Y5PaWX1v6/zXf1bQrUh/5Auof9hTR//STXKy61If8AkC6h/wBhTR//AEk1ytzzjLooooA1ND/5DWj/APYU0/8A9K4ay61ND/5DWj/9hTT/AP0rhrLoAKKKKANSb/kC6f8A9hTWP/STQ6ND/wCQ1o//AGFNP/8ASuGib/kC6f8A9hTWP/STQ6ND/wCQ1o//AGFNP/8ASuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArxv4h/wDIatf+wXB/6V3teyV438Q/+Q1a/wDYLg/9K72gDg6/B/8A4Ji/8Fxf+Hm37Rvjz4L/APDMH/Ckv+Ee+E/ij4xf8JL/AMLq/wCFk/bP7J8deAPCn/CO/wBj/wDCpfAP2f7R/wAJ99v/ALX/ALVn8r+yfsv9lyfb/tNn+8FfwV/8Gt//ACkA+MH/AGZ38QP/AFdX7Ple9lmCw2IyvPcTWp89bB4ehPDT55x9nKc2pPljJRndLaakl0SPFzHF4ihmWTYelU5aWLr1oYiHLCXtIwgnFc0ouUbN7wcW+rP71KKKK8E9o1If+QLqH/YU0f8A9JNcrLrUh/5Auof9hTR//STXKy6ACiiigDU1z/kNax/2FNQ/9K5qy61Nc/5DWsf9hTUP/SuasugArUh/5Auof9hTR/8A0k1ysutSH/kC6h/2FNH/APSTXKAMuiiigArU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmoAy6KKKANSH/kC6h/2FNH/APSTXKy61If+QLqH/YU0f/0k1ysugAooooAzPiV4k/4RWW91P7F9v+1ePPDHhvyPtH2Xy/8AhMvH2i+EPtvm+Rcbv7O/tz+0Ps/lr9s+y/ZPPtfP+0w6dZnxK8Sf8IrLe6n9i+3/AGrx54Y8N+R9o+y+X/wmXj7RfCH23zfIuN39nf25/aH2fy1+2fZfsnn2vn/aYdOsISviK8Pa83JTwz9jyW9lzxxD5/afb9vyX5b/ALv2NtPaa+jXo8mWZbX+p+y9vic3h9e+sc/136tVyqPsPq1/9n/s76xye0svrf1/mu/q2hWpD/yBdQ/7Cmj/APpJrlZdakP/ACBdQ/7Cmj/+kmuVuecZdFFFAGpof/Ia0f8A7Cmn/wDpXDWXWpof/Ia0f/sKaf8A+lcNZdABRRRQBqTf8gXT/wDsKax/6SaHRof/ACGtH/7Cmn/+lcNE3/IF0/8A7Cmsf+kmh0aH/wAhrR/+wpp//pXDQB9GUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV+BXxS/4KcfG+w/ad/b++BOg/DT4u+HdB+B37OHjvUvhN4vsfg3pt1o3gX4g+DPhj458dP8AFv4seIdd1TWbWHwR4z1LQ7LTvhDeyaTL4c8WwPo1tf8AhkXWoXl7N++tfhL+0T+zf+2Dbftbfty+JPhb8BLD4rfCT9s/9j+X4Tw+PoPiv8P/AAXefDnxt4d+EnjHw5oumXnhTxVqdrrPiOXX/Ei6Zpfm2sWm6JYWviOw1a78RRR6VrFnD5+M9vz2p+1lGeVcSQjCm5wTx7yRyyuUq0PepVPrUa0MNOTUI4rkabrVKKO7BexvB1fZrkzThqc51OWXLgo8SZcs0fsp+7WprL5SqYqlq6uEhXpyXsPrDW7+xt/wVy8FeMfA/wCyF4G+O/h39oKT4gfHjSPDfg0ftJa58EY/Bn7O/jb41X0d3aX3hDQvF9v/AMI5Z6jrTeIbY+GpW8HeCZ/CttrTgf2nDpcN5qNt7x8Xv+Ctn7OXwk+JvxC+HkXw+/aR+K2jfBjUdN0j48fGL4MfB+48efBj4F6peXdxb6jYfE3xjDrmn3emXHhqC1nvfEC6LomvLbiC80mxbUfEmmarodj8teJv2Lf2l9Q/ZV/4JD/Daz+GvneNP2Xv2hP2f/HHx00X/hMfAEf/AAg3hbwQl+PFGqf2jL4qTSfE39mGaL/QvB994g1G93f8S+0u9rY5jXv2dP8AgoN8Aov25f2bfgZ+zr8Pfjz8H/22fiT8T/iF4b+PutfGrwz4F/4Uw3x+0tvCnjPTviP8PPFQ1DxN45HgvT4ba/tf+EQtpo720i+3RNrt/qkvg/QfWzGb+sY2WGp0qlSlis+p4KjTUaWGzWrhZ8IzyujUqQlGlleFr4bNc+cMVSmqOJqZO6axFPEU8ZHE+ZgYJUMEq9SpCnWwmS1cZVnzVMRldLEYrifD5rWjCUZVMyxeFhl+TYlYKrD20VmMbUKmGq4V4f7s+M//AAVE+Bfwj+Jnw6+E2hfDn9oH9oHxd8Xfg7oPxx+GMH7OPw80n4nQ+NvA/iHWL/TrObRol8X6Nqf2i30zStS8W6hd3unWfh+z8L2Ut0+unUng0qbx/wAa/wDBan9nXwVqnxn0uT4FftheKT+zz8RNd+Hfxm1fwT8GtD8TeF/h5NomoyaOvirxR4us/iCvhfRfCmtaraanp+hS6nq1p4gvp9Iv3k8PW9v9jmu8X9nD9hH4p/s9ftm/sya+mmDxZ8H/AIJf8E6bP9nnVvitJq/h6Jbv4sw/EnUPEOo2Gn+FrzW5PGdrYXljf3V5pt1Ho82j2GlTwaPJqxuoXgrhPC/7Gn7SWnfAH/gsf4JvPhx5Pif9qv4x/H3xV8BNM/4TDwFJ/wAJ5oHjXSL+18MX/wBti8UPp/hf+055ok+y+M7vw7e2W7dqFvaIrMOfFSWHWJnh74tUcFxHj6MWpR+sVMu4sweVZRlr9lGFTmxuS1cVj3WpwhisXSpRxuFoUMPNxo9GFXt/q8cQlhpVJcMYaq1JNUpZnkuc47Ocb+8lKK+oY7CZdhHQlOWHwlXFqhiatSq1Gf2J4E/agsviT+3h4Z+Hfgr4zeKdf+F/jb9iHRP2g/Cvw4t/hP4Hh+H2qWXiLx/ptjo3xQh+MVx4lh+K0fiO80bUINLHw2u/Atv4Xh0+dtYuNbi1uE6bX0Zc+NfBvxR1fxFL8M/Fvhj4ix+AvEWr/DXxzJ4F17SvFyeDPiN4WuWbxN4A8WP4fu9QXw7428OrqFg2u+FdYNnrukC+szqFhbi5h3/nB+x1+yT+0H8K/wBq/wDZz+Jfj34f/wBg+CfAf/BKv4Wfs3eK9a/4SvwTqn9lfGnw34s8NanrXgz+zdG8Sajq199isdPu5/8AhItNsLzwpceT5dprs80kUb/qL8Q/+Q1a/wDYLg/9K72u3FUqFBUqVCp7WNKrnFJVHONSc6VHijiihgp1JxV5yq5XRyytCcm1UoVqFSlyYaphqVLjo1K1WpUnVhyOWFyWTSg4Q9tLIsE8aoQvywccdGsqsIpOnWlKFWVSrB1Z8v8A2HrX/QH1T/wX3f8A8Zr+B7/g1mtbq8/4KB/GGK0tri6kX9jj4gyNHbwyTuEHxr/Z7UuUiVmCBmVSxGAWUE5Iz/ebX8Ff/Brf/wApAPjB/wBmd/ED/wBXV+z5Xu5L/wAiTif/ALBML/6ckeLm/wDyOOHf+wnE/wDpCP76P7D1r/oD6p/4L7v/AOM0f2HrX/QH1T/wX3f/AMZrLor5c+jOmi0fVxpF9EdK1ISPqWlSJGbG6DskdtrCyOqeVuZI2liV2AIUyRhiC65zf7D1r/oD6p/4L7v/AOM0Q/8AIF1D/sKaP/6Sa5WXQBqf2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zWXRQB02saPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBrN/sPWv+gPqn/gvu/8A4zRrn/Ia1j/sKah/6VzVl0Aan9h61/0B9U/8F93/APGa0otH1caRfRHStSEj6lpUiRmxug7JHbawsjqnlbmSNpYldgCFMkYYguueZrUh/wCQLqH/AGFNH/8ASTXKAD+w9a/6A+qf+C+7/wDjNH9h61/0B9U/8F93/wDGay6KANT+w9a/6A+qf+C+7/8AjNaWsaPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBrma1Nc/5DWsf9hTUP/SuagA/sPWv+gPqn/gvu/8A4zR/Yetf9AfVP/Bfd/8AxmsuigDpotH1caRfRHStSEj6lpUiRmxug7JHbawsjqnlbmSNpYldgCFMkYYguuc3+w9a/wCgPqn/AIL7v/4zRD/yBdQ/7Cmj/wDpJrlZdAGp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M1l0UAR/Eq/1Twt9p1oaDf38N/488J+G4gEuLWI/8Jz8QND8HQXsdx9kuUl+yP4gjvordUH9oNAlkk9ubkXMWx/Yetf9AfVP/Bfd/wDxmuY+JXiT/hFZb3U/sX2/7V488MeG/I+0fZfL/wCEy8faL4Q+2+b5Fxu/s7+3P7Q+z+Wv2z7L9k8+18/7TDp1hCV8RXh7Xm5KeGfseS3sueOIfP7T7ft+S/Lf937G2ntNfRr0eTLMtr/U/Ze3xObw+vfWOf679Wq5VH2H1a/+z/2d9Y5PaWX1v6/zXf1bTU/sPWv+gPqn/gvu/wD4zWlFo+rjSL6I6VqQkfUtKkSM2N0HZI7bWFkdU8rcyRtLErsAQpkjDEF1zzNakP8AyBdQ/wCwpo//AKSa5W55wf2HrX/QH1T/AMF93/8AGaP7D1r/AKA+qf8Agvu//jNZdFAHTaPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCs3+w9a/wCgPqn/AIL7v/4zRof/ACGtH/7Cmn/+lcNZdAGp/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M1l0UAdNLo+rnSLGIaVqRkTUtVkeMWN0XVJLbR1jdk8rcqSNFKqMQAxjkCklGwaPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCs2b/kC6f/ANhTWP8A0k0OjQ/+Q1o//YU0/wD9K4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvG/iH/wAhq1/7BcH/AKV3teyV438Q/wDkNWv/AGC4P/Su9oA4Ov4K/wDg1v8A+UgHxg/7M7+IH/q6v2fK/vUr8H/+CYv7ev8AwS4/ao/aN8eeB/2IP2L/APhnH4l6b8J/FHjXWPGH/DOn7PHwg+3/AA4s/HXgDSNQ8Jf8JB8IvGPiHX7r7Vr/AIh8J6p/YN1aR6FP/Yf22e7W90zTYp/eyzEVaWV57ShhK9eFfD0I1a9N01TwijNtTrKclNxm9I+zUnfdHi5jQp1MyyarPFUaM6FetKnQqKo6mJcoJOFFxi4KUd37RxVtj94KKKK8E9o1If8AkC6h/wBhTR//AEk1ysutSH/kC6h/2FNH/wDSTXKy6ACiiigDU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmrLoAK1If+QLqH/YU0f/0k1ysutSH/AJAuof8AYU0f/wBJNcoAy6KKKACtTXP+Q1rH/YU1D/0rmrLrU1z/AJDWsf8AYU1D/wBK5qAMuiiigDUh/wCQLqH/AGFNH/8ASTXKy61If+QLqH/YU0f/ANJNcrLoAKKKKAMz4leJP+EVlvdT+xfb/tXjzwx4b8j7R9l8v/hMvH2i+EPtvm+Rcbv7O/tz+0Ps/lr9s+y/ZPPtfP8AtMOnWZ8SvEn/AAist7qf2L7f9q8eeGPDfkfaPsvl/wDCZePtF8IfbfN8i43f2d/bn9ofZ/LX7Z9l+yefa+f9ph06whK+Irw9rzclPDP2PJb2XPHEPn9p9v2/Jflv+79jbT2mvo16PJlmW1/qfsvb4nN4fXvrHP8AXfq1XKo+w+rX/wBn/s76xye0svrf1/mu/q2hWpD/AMgXUP8AsKaP/wCkmuVl1qQ/8gXUP+wpo/8A6Sa5W55xl0UUUAamh/8AIa0f/sKaf/6Vw1l1qaH/AMhrR/8AsKaf/wClcNZdABRRRQBqTf8AIF0//sKax/6SaHRof/Ia0f8A7Cmn/wDpXDRN/wAgXT/+wprH/pJodGh/8hrR/wDsKaf/AOlcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFfBniv8A4KefsIeCPjrL+zZ4p/aI8NaT8YrfxRpngq88PSeHvHdzomn+KtW+yra6JqnxAsvCtz8OdLvILi9gsdVGoeLLaPQtTFxpWtyafqVpd2sG/wDtAf8ABRT9i39lrx9ovwv+O/x68N+BfHuu29peW3hw6N4w8TXenWd/NDDY3fiifwd4c8QWPgy1vRcR3Npc+L7rQ4bmwE2pQu+n29xdRKMozhhqkJRnTxtV0MHUjKLhiq0YqcqWHnzclWpGDU5RhK8abVSTjSaqtyThOvTmnGeFpRr4mEk1PD0J6Qq1oW5qdOb92MpRtKXuRTqfuz7Urxv4h/8AIatf+wXB/wCld7XzVpX7WHi7Wv8Agonb/spaVbeA9T+D9/8Asc237Rul+L9Oh1O98V6j4hvfiXZeErKOy1+28Ry+F7zwdd6DdrqFslv4de+uLp4rqLXHs2Fs3t9z418G/FHV/EUvwz8W+GPiLH4C8Rav8NfHMngXXtK8XJ4M+I3ha5ZvE3gDxY/h+71BfDvjbw6uoWDa74V1g2eu6QL6zOoWFuLmHffLL2VCs4yjHERxEoRmnCpH6rj8wyytGpTkozpThi8sxkOSaUuWEZNR5+SEtpValHmjKVKGEqScGp05Qx2Bw+Y4aVOpFuNSM8LiaM24txUpcqlPScsmv4K/+DW//lIB8YP+zO/iB/6ur9nyv76P7D1r/oD6p/4L7v8A+M1/A9/wazWt1ef8FA/jDFaW1xdSL+xx8QZGjt4ZJ3CD41/s9qXKRKzBAzKpYjALKCckZ+myX/kScT/9gmF/9OSPnc3/AORxw7/2E4n/ANIR/ebRWp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNfLn0YQ/8gXUP+wpo/8A6Sa5WXXTRaPq40i+iOlakJH1LSpEjNjdB2SO21hZHVPK3MkbSxK7AEKZIwxBdc5v9h61/wBAfVP/AAX3f/xmgDLorU/sPWv+gPqn/gvu/wD4zR/Yetf9AfVP/Bfd/wDxmgA1z/kNax/2FNQ/9K5qy66bWNH1eXV9Vli0rUpI5NSvpI5I7G6dJEe5lZHR1iKsjKQyspIYEEEg1m/2HrX/AEB9U/8ABfd//GaAMutSH/kC6h/2FNH/APSTXKP7D1r/AKA+qf8Agvu//jNaUWj6uNIvojpWpCR9S0qRIzY3QdkjttYWR1TytzJG0sSuwBCmSMMQXXIBzNFan9h61/0B9U/8F93/APGaP7D1r/oD6p/4L7v/AOM0AZdamuf8hrWP+wpqH/pXNR/Yetf9AfVP/Bfd/wDxmtLWNH1eXV9Vli0rUpI5NSvpI5I7G6dJEe5lZHR1iKsjKQyspIYEEEg0AczRWp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNABD/wAgXUP+wpo//pJrlZddNFo+rjSL6I6VqQkfUtKkSM2N0HZI7bWFkdU8rcyRtLErsAQpkjDEF1zm/wBh61/0B9U/8F93/wDGaAMuitT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmgDmPiV4k/4RWW91P7F9v+1ePPDHhvyPtH2Xy/+Ey8faL4Q+2+b5Fxu/s7+3P7Q+z+Wv2z7L9k8+18/wC0w6dR/Eq/1Twt9p1oaDf38N/488J+G4gEuLWI/wDCc/EDQ/B0F7HcfZLlJfsj+II76K3VB/aDQJZJPbm5FzFsf2HrX/QH1T/wX3f/AMZrCEr4ivD2vNyU8M/Y8lvZc8cQ+f2n2/b8l+W/7v2NtPaa+jXo8mWZbX+p+y9vic3h9e+sc/136tVyqPsPq1/9n/s76xye0svrf1/mu/q2mXWpD/yBdQ/7Cmj/APpJrlH9h61/0B9U/wDBfd//ABmtKLR9XGkX0R0rUhI+paVIkZsboOyR22sLI6p5W5kjaWJXYAhTJGGILrnc845mitT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmgA0P/AJDWj/8AYU0//wBK4ay66bR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAVm/wBh61/0B9U/8F93/wDGaAMuitT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmgAm/5Aun/APYU1j/0k0OjQ/8AkNaP/wBhTT//AErhrSl0fVzpFjENK1IyJqWqyPGLG6Lqklto6xuyeVuVJGilVGIAYxyBSSjYNH0fV4tX0qWXStSjjj1KxkkkksbpEjRLmJnd3aIKqKoLMzEBQCSQBQB71RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfx8ftOfAT9qjQv2m/jFpX7Pf7P/7ZfhbxD4z/AGjNW8e2fwt1b4d+D/2sv+Cdfxj1zxrrfh6TTvjDrPiTxvpvgr4d/BnVP7POo63qEfi74f8Axb1zwJq1vo9na+PfAMmirNovoP7X/wCzH8d/DX7X37XviLxn8PP+Cj/xD0D9qTwz4BufAP8AwwD4tt/C/wAJvHM1v4MXwVrnww/aV1K/8I+OLbw54V0m7ludI03Vdf0nV47bw1e6xqtx4a1Ow1a5lh/rGorGjQjSwuBwrbqQwcMTQnKai5V8Hicvy7LqmGjGSnDDqNDKsFOlNLG06NWm6dHB0cAqOW4XWrVlVxOMxS/dzxUsPWSg5JU8XhcbUzCjiJSThOvyV61ZcjeFqSjNVKmMq42nDMX+Hf7LH7OPxF+DH/BQr4MxXXw7+JWmfDvwF/wSr8HfCSbxd4jubrx94e0TxvpfxX0e/l+Gl58Y9K8G+DfBfinxPoOmxyRQJpmieHpb/RtPj1Oz8O2GnFEj/WD4h/8AIatf+wXB/wCld7XsleN/EP8A5DVr/wBguD/0rva7a1edeNJTSvTeNfNeTcnjc2zbNpXc3KT9nPNp4eMpTnOdPD0qtac8RVxE6nLToxpznKN0p0cvo8topJZfluHy2MlyqKvWjQdecVGMIVKsqdJKlCnbg6/gr/4Nb/8AlIB8YP8Aszv4gf8Aq6v2fK/vUr+Cv/g1v/5SAfGD/szv4gf+rq/Z8r6HJf8AkScT/wDYJhf/AE5I8HN/+Rxw7/2E4n/0hH96lFFFfLn0ZqQ/8gXUP+wpo/8A6Sa5WXWpD/yBdQ/7Cmj/APpJrlZdABRRRQBqa5/yGtY/7Cmof+lc1Zdamuf8hrWP+wpqH/pXNWXQAVqQ/wDIF1D/ALCmj/8ApJrlZdakP/IF1D/sKaP/AOkmuUAZdFFFABWprn/Ia1j/ALCmof8ApXNWXWprn/Ia1j/sKah/6VzUAZdFFFAGpD/yBdQ/7Cmj/wDpJrlZdakP/IF1D/sKaP8A+kmuVl0AFFFFAGZ8SvEn/CKy3up/Yvt/2rx54Y8N+R9o+y+X/wAJl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/2mHTrM+JXiT/hFZb3U/sX2/7V488MeG/I+0fZfL/4TLx9ovhD7b5vkXG7+zv7c/tD7P5a/bPsv2Tz7Xz/ALTDp1hCV8RXh7Xm5KeGfseS3sueOIfP7T7ft+S/Lf8Ad+xtp7TX0a9HkyzLa/1P2Xt8Tm8Pr31jn+u/VquVR9h9Wv8A7P8A2d9Y5PaWX1v6/wA139W0K1If+QLqH/YU0f8A9JNcrLrUh/5Auof9hTR//STXK3POMuiiigDU0P8A5DWj/wDYU0//ANK4ay61ND/5DWj/APYU0/8A9K4ay6ACiiigDUm/5Aun/wDYU1j/ANJNDo0P/kNaP/2FNP8A/SuGib/kC6f/ANhTWP8A0k0OjQ/+Q1o//YU0/wD9K4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvG/iH/wAhq1/7BcH/AKV3teyV5dq/xw+C3h/4i6N8INe+L/wu0T4teI7eC88PfC7V/H/hPTfiLr1pdLetbXWjeCbzVofEuqW9wum6i0E9jpk8Uq2F6Y2YWs/li1lCC1nUbjTgtZ1JKLm404K85yUIym4whOShGU2lGMpIekZTekIJSnN6QhFyUVKc3aMIuUoxTnKCcpRim5NRfmFfDP7OH/BL/wDYY/Yk+Knir4lfsw/A7/hWXjXV/DuufDrUda/4WX8YPGf2jwbf+I9C1+70f+zviF8QPFmkxebq3hPQLv8AtCCwi1WP7B5EV8ltdXsNz+wFxcQWkE91dTw21rbQyXFzc3EiQwW8EKNJNPPNIyxxQxRq0kkkjKkaKzMwUE14P+zX4n/Zu1D4VeFPAf7LPxB+Gnjv4VfBrw14U+FXh62+GXxK0r4pab4Q0Lwf4c07RvC/hjUfEVh4i8T6hJfWHhyy06NJPEGrXet31uqX19c3c88lzLrTr1oRr0KNarGFSnGeJo0qkkp0VPkjOvTg3ekqjUIzqxVP2jUFPnai86lGjKVGtVpU5ShUccPVqQi3Cq480o0ZzStVcE5OFOTqcicnDkTkudor0/wR8cPgt8TfEPinwl8N/i/8LviD4r8DXEln428M+CPH/hPxZ4h8HXcV9c6ZLa+KdF0HVr/UvD1xFqVleafJBq1taSpfWlzaMongljT1GslrGE1rCpCNSnNawqU5q8KlOavGpTmk3CpTlOnJK8ZyWpo9JTi9JU5yp1IvSVOpHSVOpF2lCpFtKUJxhOLaUoRufOcP/IF1D/sKaP8A+kmuVl19QUUAfL9Fen6v8cPgt4f+IujfCDXvi/8AC7RPi14jt4Lzw98LtX8f+E9N+IuvWl0t61tdaN4JvNWh8S6pb3C6bqLQT2OmTxSrYXpjZhaz+X6XcXEFpBPdXU8Nta20Mlxc3NxIkMFvBCjSTTzzSMscUMUatJJJIypGiszMFBNJyiqftnKKo/vP3rklS/cuSrfvW1S/cuMlW/efuXGSq+ycZKLSbn7JJur+7/dJN1P3qTpfu0nU/eqUXS/d/vVKLpe0Uk38865/yGtY/wCwpqH/AKVzVl10X7Nnif8AZtv/AIVeFfAn7LXxC+Gnjr4U/Bnw14V+Ffh+3+GfxL0r4o6Z4P0Lwf4c07RvC/hjUvEdj4i8T38l9p/hux05Fl8Q6tda3fW6JfX1zdzTyXMrPCH7Wf7K/wAQvF9l8PfAP7S/7P3jjx9qM9/a6f4H8IfGX4c+JfF9/c6Va3V9qlvZeGtF8SXutXU+m2VjfXl/DBZSSWdrZ3VxcLHDbzOlcsudUuWXtZU/axp8r9pKlZv2sadvaSpWjJ+1jTlTtGT9paMnGbrklUuvZwk4TqXXs4TW8J1L+zjNdYSnGa6wRgVqQ/8AIF1D/sKaP/6Sa5X0ZRSGfL9FfUFeXav8cPgt4f8AiLo3wg174v8Awu0T4teI7eC88PfC7V/H/hPTfiLr1pdLetbXWjeCbzVofEuqW9wum6i0E9jpk8Uq2F6Y2YWs/li1lCC1nUbjTgtZ1JKLm404K85yUIym4whOShGU2lGMpIekZTekIJSnN6QhFyUVKc3aMIuUoxTnKCcpRim5NRfmFamuf8hrWP8AsKah/wClc1fRleO/BT/hSXhbwjp/wN+B/iHwhdeHP2ddD8KfB5vBPhvxpD4y1X4Yad4P8PWOieF/BviyS41rXPEun6vYeHtMs4VTxfdv4gvoYDe3093cSTXLi1fKtZcsp8q1lyQcFOfKrvkg6tJTnbkg6tNTnB1KaqD0V3ouaMLvRc81Nwhd2XPNU6jhC/NJU6jjGSpzcOBor0/wR8cPgt8TfEPinwl8N/i/8LviD4r8DXEln428M+CPH/hPxZ4h8HXcV9c6ZLa+KdF0HVr/AFLw9cRalZXmnyQatbWkqX1pc2jKJ4JY09RoWsYTWsKkI1Kc1rCpTmrwqU5q8alOaTcKlOU6ckrxnJag9JTi9JU5yp1IvSVOpHSVOpF2lCpFtKUJxhOLaUoRufOcP/IF1D/sKaP/AOkmuVl19QUUAfL9Fen6v8cPgt4f+IujfCDXvi/8LtE+LXiO3gvPD3wu1fx/4T034i69aXS3rW11o3gm81aHxLqlvcLpuotBPY6ZPFKthemNmFrP5fqNC1iprWEnOMZrWEpU5clSMZq8JSpz9ypGM5Spz9yahL3QeknB6TioSlB6TjGpHmpylB2lGNSPvQcopTj70HOPvHyZ8SvEn/CKy3up/Yvt/wBq8eeGPDfkfaPsvl/8Jl4+0Xwh9t83yLjd/Z39uf2h9n8tftn2X7J59r5/2mHTrvvgqfgl4V8I6f8AA34H+IfB914c/Z10Pwr8Hm8E+HPGsPjHVPhhp3g/w7ZaJ4X8G+LJLjWtc8S6dq+n+HtMs4lTxfdv4gvoYDe3093PJNcvgeEP2s/2V/iF4vsvh74B/aX/AGfvHHj7UZ7+10/wP4Q+Mvw58S+L7+50q1ur7VLey8NaL4kvdaup9NsrG+vL+GCykks7Wzuri4WOG3mdIhGcqz5antFWo0qtCjCKlL2UY1ufEQ5OadajVspKpGM6MVQny1WvaOHRVqUPqlGCw3sa2GxGNjjMZKrPlre1lhJYbDVKc1GlhqmCjTxEWnONWt9cUqtOPsafNgVqQ/8AIF1D/sKaP/6Sa5X0ZRVnOfL9FfUFeXab8cPgtrPxI1X4OaR8X/hdqvxe0K3kvNb+Fem+P/Cd98SNGtIbezvJbrVfA9rq0vifTreK01HT7qSe70uGJLe+s52YRXUDOLWUYLWclOUYLWco0489SUYK85Rpw9+pKMJRpw96o4R94HpFzekIuEZTekIyqS5acZTdoxlOXuwUpJzl7sFOXunCaH/yGtH/AOwpp/8A6Vw1l16d8cdJ+E/iH4NfFTwz8eL7w/p3wV8WfD/xb4Q+K114q8UP4J8Oj4f+LdDvfDfiu31jxfFq2gz+GrK90XVLyyl1q11rSb3T/tAuLLUbO7SGdNDwD8W/hT8VfC9z43+F3xO+HvxI8F2d1fWN34v8A+NPDfjDwva3umQQ3OpWdzr/AIe1LUdJgutPtriC4vreW7Wa0gnhlnSOORGZc0UqsnKKjQgqleXMuWjTlzctStK9qNOXJPlqVnShLknyzlyT5HZ3pxs+atN06MbO9apHl5oUla9WceeHNCkqs488OaC5o83kNFeq/DL40fB3416bqOs/Bv4sfDT4taPo98mmavq3wy8d+FvHmm6XqT26XaadqN94V1XVbWxvntZY7lLS5liuGt5EmEZjdWPpdU4yjZSjKLcYyXNFxvGSvGS5krxktYyV4yWsZSWpKkpX5WpWbi+Vp2lF2lF2btKL0lF2lF6SjF6HznN/yBdP/wCwprH/AKSaHRof/Ia0f/sKaf8A+lcNfRlFIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV/HZ8W/BPg7xj+x5/wVo/an8W6Bo93+0z8Ov8Agold6b4B+KV6ml3PxF8D6f4I+Jnwl0TwhonhXxUtuur6JpdppOr6nYxWGk3NrZ3VvZWSvDJ/Y9sYP7E6/Mz4kf8ABKD9mP4ofHDW/jPruufGnTdH8aeM/DnxH+J3wB8OfEiTSf2dfiz8QvCzSSaX40+Ifw6Gj3Fzq+uef9kubw2PiHSrC8ubITzWDSap4gOsZU4SWPpVvaSoRlQw9BY2laWJy2dDiXhbPJ4zDU5L95VrYTIsVl/LCVOXPUwaqueBnjqT3VWEcNyulGu6WOoYyWDqWVDMqNPK+Isvnl+InJTpwozq5xh68pVaVWm6dPE2g68cKebf8FifGXjLS/8Agld8XNZtGvNC1zxRoHwk0TxXHZ3i2s9ppfjDxt4M07xfpUsrgyTWt5aX17omoW8bK91ZXdxDIxheZH/Pb9oHwzoP7If7Vn7Q3h79k/wtpHw18Pa5/wAEZ/H3jXxDpvw5XTPC+mw+KvCmv63pXhr4jXNtpNvb2U/i2Kzt7WMeIp4ZNVvrjVLrUGunvL6S4f8Adbxb+x98P/iNd/tE2vxQ8a/GD4nfD/8AaS8O+HfDPiT4NeNfH0+ofCb4f2HhzTlsYrn4PeGbPT9Pu/h9qup3Udtr2rapZavd3c/iKzs9WtZLOe3jA8s/Zr/4JufAj9m6f4g6o3if4xfH3xR8SvAtp8KNf8ZftJeO4PiZ4ktvhHZWYsofhXos9toXhzTtM8CbMvJpEemvK+IbY3f2CzsbO1mvSeI/tiUadLCvMoZnioUoOU6f/Chwpm/DtLh6vOKc5YHC4rF0Mb9ai54eWGxGIUcO8fRm8TGFl9Vp5NTnOeK/syGCwlSq1yynPDcQcJ55PPqUaspNYz2OTZhg6VCcliXiJ0Z1MR9RxFdP8ffgH8Mfh58DPi//AMEG/F3wR8F+HfDHi344fAv4m2Xxo1DwraadpOp/EXT9Q+CnhHxZq2qeOrrTIYLrxPcaJ4g1bVtWtrnWpLya0k0y0sY5Ei0y3ih/qEr84v2av+CXv7Pf7MHxR034reFvFvxz+IOqeDdD8QeFvg34a+MXxNl8d+DPgB4W8T3t1c634d+Deivo2mT+HdOvbW6/smWTV9Q8Q6i2nRtuv2v7/Vr7Uf0dr08ViIV480VKDq5jn2YqjJRtgaOcZrTx+GyunKD9nOnl9KEqfPRjCg6lWSw8VSTRw4ehOjJKXLJUsBleAdaLd8ZVy+lmUKuPnGSU4PELHYehTjWc8T7DA0niJuTpwplFFFcZ1H8dnxb8E+DvGP7Hn/BWj9qfxboGj3f7TPw6/wCCiV3pvgH4pXqaXc/EXwPp/gj4mfCXRPCGieFfFS266voml2mk6vqdjFYaTc2tndW9lZK8Mn9j2xg/Zf8A4LE+MvGWl/8ABK74uazaNeaFrnijQPhJoniuOzvFtZ7TS/GHjbwZp3i/SpZXBkmtby0vr3RNQt42V7qyu7iGRjC8yP6T8SP+CUH7MfxQ+OGt/GfXdc+NOm6P408Z+HPiP8TvgD4c+JEmk/s6/Fn4heFmkk0vxp8Q/h0NHuLnV9c8/wCyXN4bHxDpVheXNkJ5rBpNU8QHWPoTxb+x98P/AIjXf7RNr8UPGvxg+J3w/wD2kvDvh3wz4k+DXjXx9PqHwm+H9h4c05bGK5+D3hmz0/T7v4farqd1Hba9q2qWWr3d3P4is7PVrWSznt4wOeEJRyahgp0adSdN8O154Kcv9jlLhnI+G8txODc4pXhxZicpx1bEVvZuOEhjHPMY18RUqyl1xrQjnbzC8vZLE51NVlG2IdHP83q42ilF3aXDWGmlRpznN4qcp0sAqNNP2n4+aj4f8G/sdf8ABQvx7o37M3hnwH8M/COp/wDBJjxF4+8QaXpeq+DPhv4Cbxx4M8WatY+BfHPizVNWvPDvgjTtUurm00jTb/xp4t1CxtGXXL7V9b1aOK6vLw+Sf8E/tC8efsUfET9gzwD+0D+y9+w/4osv2m9G8YQfBv8AaX+BOmaP4w/aJ8N+Kb/RpvF02ofEf4rxQ61oXjXT9Y8PeLJPDceqfCzXJvDEfhe5+1WnizU9H0/+zdZ/YT9nX/gmn8Af2e0+JU954j+MX7QWv/FX4fQ/CDxP4t/aT8ex/EnxJD8HYdPOnL8KNEurPQ/DNlpPgVoWZn0u3083BIggW9WysrC0teY/Z0/4JU/s7fs3/FDwn8VNH8afH74n6h8L9O8R6R8DvCfxo+KT+OPAfwD0zxU1zHrVl8JPDkOh6KNDhutPuX0snV7zXpBbpFel21tP7WPo0KkaWNo1J1alakqNSGJr1I3qVcJVz7jrOZ5XTpQdKrh8TD/WPKaeFzLD4iOEouhmdKrhKuDhl+HqeTKjN5d9XUYqvCGDpwUZcqqYvCcN8K5Gs2rzaqUa9KvVyjNMRi8BiMPWxdanWwTji44urja1L9MKKKK5jrCv47Pi34J8HeMf2PP+CtH7U/i3QNHu/wBpn4df8FErvTfAPxSvU0u5+IvgfT/BHxM+EuieENE8K+Klt11fRNLtNJ1fU7GKw0m5tbO6t7KyV4ZP7HtjB/YnX5mfEj/glB+zH8UPjhrfxn13XPjTpuj+NPGfhz4j/E74A+HPiRJpP7OvxZ+IXhZpJNL8afEP4dDR7i51fXPP+yXN4bHxDpVheXNkJ5rBpNU8QHWMqcJLH0q3tJUIyoYegsbStLE5bOhxLwtnk8Zhqcl+8q1sJkWKy/lhKnLnqYNVXPAzx1J7qrCOG5XSjXdLHUMZLB1LKhmVGnlfEWXzy/ETkp04UZ1c4w9eUqtKrTdOnibQdeOFPsPx74X+IvxZ+A9x4Y8LfEbWPgV8QvGvhLw9FL4/0DRdN8ReIPBc9+NKuvE6aLY6xLFZJrE+m/2tomnavI5uNBvbyHXrNJb3TreN/wCer9lTQ9S/Zz/Z5/4LseH/AId+J/Gerax8K/GPxUsPD/jbxR4hTU/iDqWo6P8ADrxcjeMPEHidrS0W/wDF15c+fr2p6vDZWZudXkmuLW3tHeJI/wCh7wZ8Gh4M+LHxV+Ky/FT4y+KF+KcHhSBfhn4w8cDWvhJ8Nh4V006aH+FHgwaXajwdL4iB+3eKWGo6iNX1FVucW+PLrzf4SfsbfCP4Qa1+0/q+mT+KPFtv+1v451fx38V/D/ji70LVfDwute0/UNL1XQfD9lpfh3RLi28NXljqd3bzWWtXmvXrxuFbUiNwaMbSeKlnM6MKeGWc8N51gZYfmnOnh8ZjcfleIwOXup78ngaOHweLp1a1BRoy+s+1q0cRiIuRGAl9Up5NSrzniXk2eZBjI4hLlnXoYHBYqjmOOjCcrrF1KtbDujSxU6tVvDWjVpUKtX2n4VfAP4Y/Dz4GfF//AIIN+Lvgj4L8O+GPFvxw+BfxNsvjRqHhW007SdT+Iun6h8FPCPizVtU8dXWmQwXXie40TxBq2ratbXOtSXk1pJplpYxyJFplvFD/AFCV+cX7NX/BL39nv9mD4o6b8VvC3i345/EHVPBuh+IPC3wb8NfGL4my+O/BnwA8LeJ726udb8O/BvRX0bTJ/DunXtrdf2TLJq+oeIdRbTo23X7X9/q19qP6O16mKxEK8eaKlB1cxz7MVRko2wNHOM1p4/DZXTlB+znTy+lCVPnoxhQdSrJYeKpJo4cPQnRklLlkqWAyvAOtFu+Mq5fSzKFXHzjJKcHiFjsPQpxrOeJ9hgaTxE3J04UyiiiuM6j+Oz4t+CfB3jH9jz/grR+1P4t0DR7v9pn4df8ABRK703wD8Ur1NLufiL4H0/wR8TPhLonhDRPCvipbddX0TS7TSdX1OxisNJubWzureysleGT+x7Ywf1R+PfC/xF+LPwHuPDHhb4jax8CviF418JeHopfH+gaLpviLxB4LnvxpV14nTRbHWJYrJNYn03+1tE07V5HNxoN7eQ69ZpLe6dbxv8efEj/glB+zH8UPjhrfxn13XPjTpuj+NPGfhz4j/E74A+HPiRJpP7OvxZ+IXhZpJNL8afEP4dDR7i51fXPP+yXN4bHxDpVheXNkJ5rBpNU8QHWPszwZ8Gh4M+LHxV+Ky/FT4y+KF+KcHhSBfhn4w8cDWvhJ8Nh4V006aH+FHgwaXajwdL4iB+3eKWGo6iNX1FVucW+PLqMLCCyqll+Ijyp0cpjUpRcpUKM8k4VyrIaqg6UqMqi4hx2ExOYYiUXT9jSqVYZhKriMVVnOsTOUsyq46g7tYnNq1KpJRVWpTzrPoZnRpNVI1Ywhw/habo0FVVX21WslgYUqdH3/AMNP+CcmkD9mvwz/AMFj9I8JeKb/AFS7+EXxi8cQ+HfGnxZ8c+HLHVtb1/w/4H8VPpniP4hfETxdc+GvCdtqut67HDqPiPxT4gutB0BL68utQv5NNsBIYfJP+Cf2hePP2KPiJ+wZ4B/aB/Ze/Yf8UWX7TejeMIPg3+0v8CdM0fxh+0T4b8U3+jTeLptQ+I/xXih1rQvGun6x4e8WSeG49U+FmuTeGI/C9z9qtPFmp6Pp/wDZus/ut8L/ANi34OfC7Uf2p7u2fxR4y079sLxlrnjP4veGvHF7ompeHnk8SaZqOj614e8P2ukeH9CvLTw3fadqt5ay2mrX+t6gUkGNUyDu8G/Z0/4JU/s7fs3/ABQ8J/FTR/Gnx++J+ofC/TvEekfA7wn8aPik/jjwH8A9M8VNcx61ZfCTw5DoeijQ4brT7l9LJ1e816QW6RXpdtbT+1jrgJzpYjLauJlf2XD3DWW4+aUZqp/ZOBz+nmOBoU6UcNOhWxGNzHLp4HMsNVp4WlRw+Jp4jBToww+Gq5YyEamGzClh1Z1s8z7MMJFylDl/tKeSLA4uvKpLEU69KhTwubfXcBiaNbEVpYum8Piqc6terT/TCiiipLMfxFdXVj4f129sU8y9s9H1O6s0DRoXureynmt03yq8SbpkQbpVaNc5dWUEH+Pz4TeDfCvh/wDYm/4JmftaeGvDOjy/tU+P/wDgphpsXjP4l20enx/Enx0PF3xT+LGj+JPC/iTxVbwprur6Pq2maNpNvcaTeXktjGL28uY7eM6tctP/AGNkAggjIPBB6Eehr8zPA3/BJ/8AZi8AfHTS/jTpGt/Gi90Xwv8AEHWvi14A/Z71v4kPqP7N/wANfijryxNf+PvA3w3OjQ3WleIFuxc6hZm68Rahp1jdXhS00+Kz03QrTSTB/uM1o4qfu0o1MhrOvH3q1GGS8Q1c6xeEhT0nKlnWFqQwFWVOpCMZUo/Wo1MNyezMV++y2rhoLmqv+2I+xlpSr/2rwzjsiw9WpN80YvK8Zi6WZwThKcvYL6tKnivZzh63+3l8Ff2ePi/8G9K1b9qnx1q/gr4G/BLx54b+OHjCCDU9A0/wn4s/4Qn7Wlh4V+IdrrXhnxHdeI/CWsz6m1jN4T0AadrniLUrjT9O0u5k1KWygf8AnS+K/hDxRoX7DX/BS/8AbC+EXw2vf2ZP2bP2tNa/Z78MfA/4Madp+meBzffCjSfFXh7wl4h+LFx4L0hI9L8JaT8WbHVbw6foenQWzato2t6vfxPf+Gr7RNa1391vj1/wTA+HP7SXw58WfCz4q/tH/tfa74P8W/HLU/jtLZXXxX8L6vJoGq3thc2Gm/D/AMKt4n+HHiCDQ/hT4W+2XN74X8HW9ux03UJFu5NTunhgEXRfD/8A4JxfD3wz4F+L3wx+J37QP7Xf7Uvw9+M/hG08GeIvCP7T/wAcZ/iXpOg6fZXM15DqPgcWXh3wzd+FdfFy9tOus2V011BPpumT2ht5rOOSualTlGGNqyo03UqQw9SngpyvhcZzvhnG5vhcwnTV69bHrIYcN4WtV9pl2X4KGIzOjhlWzFfV+tVoRr5cm5VKWHxd61fltWoUMPWzeOXzwVOd40YUqua1c6xkY8uPxdVUMqdaWHpV1X+Nfgn8M/h9+zr/AMFffDfwz/Z+8F+HfAvw48df8E5tI8R+PPDngmz07RPD93rnhz4oyaToHjbVtL0aG1sr/wARXVnb2lhPrl1DJqGotrV5f3FxNPfTzSfuvXwp+yZ/wT6+EP7IviTxR468P+Ofjb8ZPiR4o8NaH4Ff4k/tB/EGL4i+M9B+HfhwQNo3w88MX1poXhyw0bwfZXNvDeR6bDprzCWG2g+1/YLGws7X7rr0q1SMqWFpqrUryorMZTrVY8s/9uz7Pc2o0LJuLjg8NmdDDJwUaTqfWVQhHCwwkYeThaM6XNzxjH/Zsowz5Zc3tqmWZFlWU4jGz0VqmYYnA1cVJSc6yhHDvE1KuJnXmFFFFcx1hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9k=
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+XvjR+3B+xZ+zf4ptPA37RH7X37LvwF8bahott4jsPB/xo+P/wAKPhb4pvfD17d3thZ69aeH/HHi3QtWudFu77TdRs7bVIbR7Ge70+9t4p3mtZ0j9b+FPxh+Enx38EaX8TPgf8Uvhz8Zfhvrc2oW+i/ED4U+N/DPxE8EavcaTf3Gl6rBpfivwhqesaDfzaZqdpdadqEVpfyvZX9tcWlysVxDJGvxX/wVD/5N6+Ff/Z93/BOD/wBbv/Z7r5d/b1/aP/aI8I/Ez9stvhr+0tL+zloP7C/7BHg79sPwx4Sh8DfCLxRoP7QvjPxHrv7Q0l/o/wAarz4leAPHHjBfgxpi/AXw74HGm/AjxB8HviSNU8e+KLqTx7LeyeCE0opSh7FzruSm8fj8Nz0oTnSo4bLsuybNcVi6lGMa+NxM44bPMJRhg8vo4jGV69OrPDUK0ZKhDqWEq1q2CpYXllLF4ajUjCtJRlPF4rP6fDWDwsKqUcPQhiMxq06k8ZjHSwmCw0nLG1qcKcsRL9vK5zwt4x8I+OdMn1vwT4q8OeMdGttb8R+GrnV/C2uaZ4g0y38R+Dtf1Lwp4u8Pz3+k3V3aRa34W8U6Nq/hrxHpUkq3+h6/pWpaPqcFrqNjdW0X4AfHn9q79rTTfF/7d/xb8KftWSfDfTv2Nb39jPXPh/8AsgN8MvgTrWk/Eq8+OvgD4T69r/ws+LPiDX/CesfGPUR8WfFWsa18NPgk/wAMvHPws17Q/ibq2szXvir4kaRFongvwn03wt/aR/am/aa8efCn4B3v7UXjH9nCPxR4o/4KqeNNQ+Nnw+8A/s333xC8Vab+yV+29cfAL4U/Bnw7afGT4U/E34W2fh/wR8NvE1n4h+ImpR/DDU/H/iO38NeFb0eONIaXxnqPiBxjOVKtNRTnQS9pR9th4umuXiPEuo8ROssHVg8DwrnOIjGliedOlh4ucljKVSlxwqUp0aeIjN/V6v1OVKv7KvJVI4zCZTWhBYenSniadSniM+yjC1ZVIezhKtiKzj9Vw8sVP9/K+WPjL+3R+xL+zn4ui8AftCftifssfAjx5Po9n4ig8E/GX9oP4S/DDxdN4f1G4vLXT9di8N+N/F2h6zJo9/dadqFtZ6mlkbK6uLC8hgneS1nVPWfgr4g/4Sv4Q/DHxGfil4H+N8ms+BPC9/cfGP4aWenaf8PvijdT6NaNd+PvBenaR4o8baVp3hrxVdedrWkafp3jDxPZWNleRWttrmpxRLdy/Fv7fmnR/GnxP+yp+xTevMfBX7TfxY1vXvjvp8MwiTxJ+zp+z54Wn+JvjrwFqSLHI954a+KfjwfCf4WeOtKfyrPXvh5408YaDfyvaanJaXTr05Ucdh8Gp05e1zSjl0qjhXppwqV6sKmJpwrww9aKoYPB5jmPscRQp16tLC08J7KhisTzUKpyg6FevVjUgqGDr4qUYOjOcXh4O9D3XKnOpWxNTCYClKFSNKNfFxrVZxoUa0YfVWsftSfsyeHvHfw1+F2v/tF/AjQ/ib8Z9JsNe+D3w61j4u/D/TPHfxX0PVROdM1r4a+Eb3xDB4g8daTqItrk2Go+F9P1WzvBbzm3mk8qTb7tX82HjPxV8T/hX+0d/wAFA/ixr/gn9k/x78N7X/goj+wv8N/Fnwb+M/w28ReJ/jf8TfBniTwL+yP4L/Z51H4N+L5fE2l+EPh2fhN8RPFXiT4mfBzSLv4W/GmL4gfE+1+IFvoGt/CLxRZ32tp/SfRT5KuDo4uDl++qQbpy5b0KWLwNLNMFQq6PnxNPA16cMXVpVJYeWKp4mEcNltSlDBVYnz0sVUwtTlcqVNxlUhGap1q+Er0cBj6uH53zrCf2hOrDCxrU413hvqlZ18bDFTq4QoooqSwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5zxR4O8I+ONOtdI8a+FfDnjDSbDXvDfimx0vxRoemeINOs/E/g3XtP8AFXhDxHa2WrWt3bW+veFfE+kaT4j8N6vDEmoaHr2mafrGmXFrqFlbXEXnXxO/Zv8A2ePjZ4k+H3jL4zfAX4L/ABc8X/CXVjr/AMKvFXxO+F3gfx74k+GeutfaXqZ1r4fa54q0LVtU8GasdS0PRNQOo+HLrTbw32j6Xdmbz9PtJIdHx3qOoWer20Vpf3trG2mwyNHb3U8CFzc3ilykUiqXKqqliMkKoJwBjiv7c1r/AKDGqf8Agwu//j1NNxlTnFuM6VaOIpSi3GVLERioRxFKUXGVLERglCNenKnXjBKMa8YpRTbbjKLbcZ0amHnFtuM8PWblWoTi24zoVW26tCUZUarbdWjUbbflnh39gr4GQftTfFz9rT4heA/hP8Vvif4z8b+BPGvwn8TeM/g74P1bx7+z7d+EPhN4N+F+pxfDz4ja3/bviHTLjxSfB1pr1/qHhpfCEkZkt9NuIdRNhHqEvrXxB/ZG/ZR+LXga2+GHxV/Zj/Z6+Jnw1svGmu/Emz+HnxB+C3w38Z+BrT4ieKNT1/WvE3j628JeI/DWpaBB408Raz4r8UatrvimLT01zV9T8Sa/f6hfXF1rGoy3PzXqP7cnwDk1C/ktPi5qQtZL26e2Efh34jRILdp5GhCRHw2hjQRldsZRSgwpVcYFL/huH4F/9Fd1T/wQfEb/AOZ2vroeG3HtPD0MJHgTixYbDQjChR/1bzV04KOJxGMUuV4NxlV+t4mtiXWlF1pV3CtKrKtSo1qfxr8SuAXWrYh8ecJe2ryU6tVcS5UpzccLTwUU5LGqShDB01hoU1JU6eHnXowhCjicTRxH6N2FhYaVYWWl6XZWmm6ZptpbWGnadYW0NnYWFhZwpb2llZWlukdva2lrbxxwW1tBHHDBDGkUSKiqox73wd4R1HxToPjjUPC3hy/8a+FdJ8Q6D4Y8YXuh6ZdeKfDmh+LZ9CufFejaD4gntZNW0fSfE9z4X8NXHiHTtPu7ez1qfw7oUupQ3Mmk2DW/5+f8Nw/Av/oruqf+CD4jf/M7V2w/bk+Acc8jXPxc1Ixmy1FF3+HfiNIPtEmn3UdoQo8NthxdNCY5MAROFlLIELrrLw88Q5TdWXBPGMqrnOo6suHs5lUdSoqqqTdSWGlUc6ir1lUm6jnUVasqk5qtVVWI+Ivh5CCpw444OhTUFSVOHEWTwpqlFU1GkoQxUYKnFUqSjTUFTSpUkqaVKmqf1v4o/Z4/Z/8AHHxS8E/HLxr8DPg74w+Nfw0tJbD4cfGHxR8MvBXiD4pfD+xma/aay8E/EHVtEu/FvhS0lbVdTaW30LV7CGRtRvy6E3lx5nsVfmz/AMNw/Av/AKK7qn/gg+I3/wAztH/DcPwL/wCiu6p/4IPiN/8AM7Ux8OfECMFTjwNxdGmp1aipx4czaNNVK8lOvUUI4SMFUrTjGdaooKpWnGM606s4xnFvxH8PpSc5cdcISm4U6bnLiTKJTdOjGUaNNzeLc3ToxnONKm5OFKM5xpQpRlKMv0mor82f+G4fgX/0V3VP/BB8Rv8A5nau2v7cnwDWDUVm+LmpGSSyRLTd4d+IzkXA1CwkYxsPDbeU/wBljuQZCUBQvFuJkCMf8Q68QP8Aoh+Lv/Eczf8A+ZA/4iN4ff8ARc8If+JHlH/zWfozRX5s/wDDcPwL/wCiu6p/4IPiN/8AM7R/w3D8C/8Aoruqf+CD4jf/ADO0f8Q68QP+iH4u/wDEczf/AOZA/wCIjeH3/Rc8If8AiR5R/wDNZ+k1Ffmz/wANw/Av/oruqf8Agg+I3/zO1dT9uT4BjT7qNvi5qX2pr2weEnw78Ri4t44NRW5Cy/8ACNkIhkktN8ZdTIRGwVvKJQ/4h14gf9EPxd/4jmb/APzIH/ERvD7/AKLnhD/xI8o/+az9GaK/Nn/huH4F/wDRXdU/8EHxG/8AmdrL1D9uz4O213ocNj8SNU1G1v8AVJrTWbz+z/H1p/YWmpousX8Wq/Z5vDbSap52r2WlaH9htSk8f9s/2mzG1065R8cRwFxzhKTr4ngziujRVShSdSpw9m0YqpicThsHh4XeE+KrisZhqEF1qV6cd5I68DxxwTmeJjg8DxlwnicTKjjcRGjT4jyfmdHL8vzDNcbU97GJcuHy/K8wxU9b+zwtSycuVP8ATqivzZ/4bh+Bf/RXdU/8EHxG/wDmdq7J+3J8Azp9rGvxc1L7Ut7fvMR4d+Iwc28kGnLbBpf+EbAdBJHd7Iw7GMmRiq+aC+3/ABDrxA/6Ifi7/wARzN//AJkOT/iI3h9/0XPCH/iR5R/81n6M0V+bP/DcPwL/AOiu6p/4IPiN/wDM7R/w3D8C/wDoruqf+CD4jf8AzO0f8Q68QP8Aoh+Lv/Eczf8A+ZA/4iN4ff8ARc8If+JHlH/zWfpNRX5s/wDDcPwL/wCiu6p/4IPiN/8AM7V26/bk+AbQacsPxc1ISR2UiXe3w78RkJuDqF/IpkY+G181/sslsBIC4CBItwMZRT/iHXiB/wBEPxd/4jmb/wDzIH/ERvD7/oueEP8AxI8o/wDms/RmivzZ/wCG4fgX/wBFd1T/AMEHxG/+Z2j/AIbh+Bf/AEV3VP8AwQfEb/5naP8AiHXiB/0Q/F3/AIjmb/8AzIH/ABEbw+/6LnhD/wASPKP/AJrP0mor82f+G4fgX/0V3VP/AAQfEb/5nau3/wC3J8A5J0a2+LmpCMWWnI2zw78Rox9oj0+1juyVPhtcubpZjJJgiVy0oZw4dj/iHXiB/wBEPxd/4jmb/wDzIH/ERvD7/oueEP8AxI8o/wDms/RmivzZ/wCG4fgX/wBFd1T/AMEHxG/+Z2j/AIbh+Bf/AEV3VP8AwQfEb/5naP8AiHXiB/0Q/F3/AIjmb/8AzIH/ABEbw+/6LnhD/wASPKP/AJrP0mor82f+G4fgX/0V3VP/AAQfEb/5nau6j+3J8A5NQv5LT4uakLWS9unthH4d+I0SC3aeRoQkR8NoY0EZXbGUUoMKVXGAf8Q68QP+iH4u/wDEczf/AOZA/wCIjeH3/Rc8If8AiR5R/wDNZ+jNFfmz/wANw/Av/oruqf8Agg+I3/zO0f8ADcPwL/6K7qn/AIIPiN/8ztH/ABDrxA/6Ifi7/wARzN//AJkD/iI3h9/0XPCH/iR5R/8ANZ+k1FfJfwm+MWgfFdbTXPBHi/UvEOh2/iW30O9uJI/EGnIL+Iabd3Fm9rrdrp9xKgtNRtHaRYHtnE5jEjOkqJ3Wj6xq8ur6VFLqupSRyalYxyRyX106SI9zEro6NKVZGUlWVgQwJBBBr5bG4LGZdi8RgMwwmJwONwtR0cVg8ZQqYbFYeqowk6VehWjCrSqKNSnJwnGMkpwdrSV/qcFjcHmWEw+Py/F4bHYHF01WwuMwdenicLiaTlOKq0K9GU6VWm5U6kVOEpRbhNXvF296ooormOoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoor4p/4KI/tH+Of2SP2O/jF+0H8NtJ8K6540+H1v4Nl0TS/G1jrGpeGLp/EXxB8KeE7wanZaDrnhvVpxHp2u3c1qLTWrIpex20kpngSW2mxr14YelKtU5uSMqUHyRc5OVavh8NTUYR1k3VxNFaXaTbs7cstqFCpia1LD0uV1KsuSHNJRjflqT1k01FctKerW6S66fa1FfjH8P/ANtb9uDwN+0b+zb8MP2xfhF+z5oXw3/bJ0LxZJ8JL74G6z8QdS8ZfDPxPofhuy8Xw+FfizdeMZ/7E1vUk0u/ttH1CTwjpdhpZ1GebVtO1e7tNNudMm/KL9i79rz9sf8AY2/4J0eE/jr4R+GP7Pev/speBvjx4n0Hx/B4r8S+PLj48eNV8X/FS30/UdQ8A2Wh2+m+BfBunadc6s/h+3m8U3ninU59Ssp9bbQ/7Ie2trjrp0pzxdXCScIOm6GH9pzxlTp5lU4po8KVsvxklphKmHzDF4FSqNYmE5Y/Bqm50Ks8Vh+dSU8PTr0YzqurKnUp0owftMRgq/D2P4iw+MwSuli41sPl2MpxpqVBxlhcU5ypypUqeL/r5or8gvil+2J+2n8Vf2mvjN+zt+wT8Ov2crxP2ZfCHg7WvjF41/aZ1fx0LXxD4p+JGiReJPCPgj4d6N8NtVsLyyv4NJg1FL7VfEs0mj3epQ3VrdXXhqDT9OuvFPg2r/8ABWb48fFDw9+wJc/sxfCL4WDxv+1t4t+OHwx8eeBfjLq3iiO0+HnxD+FEfh3T5Ps/jDwve2Lx+GtKvdYu/FWqtJ4R13XPEHhWGy0nStO0XxFdMY8Kbdb2CpwqSq4qeFWHw/LbEVqONxGa4TB4uFKU4/7FicXk2Pw9PESqRSqRoSqUaNHF4avVpuCUpe0p+yp0a1apiFJvD0nh8ty/OKtCpUUG44mOV5nhMcqHspOdGVSEKksTQrYWH77UV+BUP/BWf45fBP4V/t5x/tW/Cv4SX/x3/Yy8WfCrwxZW3wT1fxXpnwt+IFz8bFmt/BiwP4zute8WWcOkNZXPiDWrxhFdaholwljFoeianYXMtx0n/BNr/gq74n/av+PXiH9nf4na1+zz4816b4c3HxK8HfEL9mXw9+0D4W8GW66NqtrpfiHwF4s0L9obwz4f8VP4nhtr+18Q2eu6HFJ4WfTi2m/ap9W3JFrQh9Zqulh5QrP6lQx8J05Xp1aOIwFbM6caUnGMnX+oYbE4iVKdKikqFSmq06/JQqTWl9Wg514zo8uLrYOpCcbVKVWjicJg5zqR5mlRlicfgqVOpGpVlU+sQqRoKlCvVw/62/EP/kNWv/YLg/8ASu9rg61rnXtV8Xav4ifxB4K8T/C5vDviLV/CujxeOrvwbqD+PdC0i5Y6f8SvCZ+Gfi34ix2fgnxSbmZdCsPHMngz4jW50+8/4SbwB4dV7Br5v9n2n/Qc0v8A7861/wDKeoKP5g6KKK/2QP8AGcKKKKACiiigAooooAKKKKACiiigApCcED1OP0J/pS0hOCB6nH6E/wBK8zOK/wBWwE6317+zrYrKqf1v6t9b5frGdZLhfq/sLO/1/wCtf2Z7W3+zf2n9cuvqfNH3eGsJ9ezenhv7J/tvmy/iCt/Z313+zuf6nwtxRj/rn1rmjy/2P9Q/t72F/wDb/wCwv7NtL+0uWS0UUV6Z4QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfsr/wTh/5Jpff9lhuf/TB4Gr7n0P/AJDWj/8AYU0//wBK4a+Iv+CbtvFJ8LtSle+tYJE+MN5ttpUvTPNt8O+BWXy2hs5rYeYxMaebcRYcEybI8Ofu/R7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWH+XXjJ/wAnU48/7KGv/wCoeUH+pfgz/wAmq4C/7J7D/wDqZnB71RRRX5ofpoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX5p/wDBYDwH44+Jn/BOv9orwR8N/Bviv4g+NNbtPh0ui+EfBHh3V/FfifV2sfi34D1K9XS9A0Gzv9V1BrPTrO7v7oWlpKbeytbm6lCQQSyL+llFc2Lw0cXh54eU5QjOVGTlFJtexxOFxKSUtPelhYwd9ozk17yidGExEsJiaOJjGM5UJ86hJtRk+StCzcfeStWb01vFdGz8jf2eP+CdPxA034pfAb47ftGftUfEX9oG1+AHw7m0f9nX4W+N/h34V8H3vwiufFnhbT9C1a48ceKNDmj1D4qeK9N0aGHTP+Eg8Q6DoevSapYW2q6ncXF3axQRYf8Aw6W/41y6t+wB/wAL/wD+Qp8RW8ff8La/4VV/qN3xHtPiB/ZP/CB/8LI/e4+y/wBkfb/+Ezj+/wDb/sfy/Ym/Y6ivQrV3UxNbEwhGi62IWJ9nFymozp8Sw4tpSnOpepiK0M7oYPFVcViHUxOLWDoUsXUq0Oai+TCwlhqeHgqkpzw8KUI1ZRinelklfh/3Kcf3VCk8uxmPpwwtCEMLQqY/E1qNKNaUakfy0+Nn/BPD4pa18cPGnx//AGT/ANsbxd+yR44+MXgrQfBfx3tLX4V+FvjF4Z+IsfhDTLTRfCPiLS9G8V67og8DeKtI0eK5059d0m5vL7yplm0aXQLy58RXPiKLw3/wSx+Hnw81n9gmT4YfEHVfDvhn9h/xB8U/FEmla/4di8U+IfjDrvxYs9NXxBq+veKYNe8PQeHNSbVbO51J5bfw9rdo0F1b6TY2Ol2OnW4P6oUVjRboSoype7PD16GIoTfvTpSwtbM8ThqMZz5pLB4fE5zmeIoYHm+p0q2LnUjRvChHDjpwdN0mv3bws8HKCbUZ0quAwGVVJzSaU8VPLcrwGBljZqWL+rYaNNVlz1pV/wAovH//AASq8EfFXxH+3vq3jz4nane6X+2zd/BzWtLstE8KRaNrfwW8UfBXS7y38NeINK8Qz+JNVj8W3E2rT2+oXELaL4WC6fHe6MZpRqBv7b239lT9lL4+fBrxn4i+IX7Q37bPxR/ar8R33hDSvAfhfRL3wxZ/CH4XeFfD+nXUd9Nqknwt8LeJdc8MeIviFfXEEVvN8RdSRPEjaSbjTbia6FzLcH7wopUP9nUY0fdhHCUMDGD9+nGhhsNXwdGUadTngsTDB4itg/rqh9blhZKhKs406U6N1v8AaJTnW96dTE1MXOa9ycqtWeEq1IucOSbw8q+BwuIeE5lhvrFFV/Zc86sa3jfxD/5DVr/2C4P/AErva4Ou8+If/Iatf+wXB/6V3tcHQB/MvRX6fX3/AATf+xXt5Z/8Ll8z7JdXFt5n/Cu9nmeRK8W/Z/wnL7N+zdt3NtzjccZNX/h3R/1WL/zHv/4cV/pZ/wATAeEn/RV/+YTiD/51n+Zv/Evvi5/0Sf8A5m+Hv/nofmXRX6af8O6P+qxf+Y9//DirVn/wTf8Atcrxf8Ll8vZa31zu/wCFd78/YrK4vNmP+E5XHmeR5e7J2b9+19u0n/EwHhJ/0Vf/AJhOIP8A51h/xL74uf8ARJ/+Zvh7/wCeh+YNFfpp/wAO6P8AqsX/AJj3/wDDij/h3R/1WL/zHv8A+HFH/EwHhJ/0Vf8A5hOIP/nWH/Evvi5/0Sf/AJm+Hv8A56H5l0V+mn/Duj/qsX/mPf8A8OKtW/8AwTf8+K+l/wCFy7PsVqlzt/4V3u8zfe2dnsz/AMJyNmPtfmbsPny9m0b9yn/EwHhJ/wBFX/5hOIP/AJ1h/wAS++Ln/RJ/+Zvh7/56H5g0V+mn/Duj/qsX/mPf/wAOKP8Ah3R/1WL/AMx7/wDhxR/xMB4Sf9FX/wCYTiD/AOdYf8S++Ln/AESf/mb4e/8AnofmXRX6af8ADuj/AKrF/wCY9/8Aw4q0n/BN/fZXF5/wuXHkXVnbeX/wrvO/7XFfS79//Ccjb5f2Lbt2nf5mdy7MOf8AEwHhJ/0Vf/mE4g/+dYf8S++Ln/RJ/wDmb4e/+eh+YNITggepx+hP9K/TX/h3R/1WL/zHv/4cVzGv/sGf2HqvgjTP+Fq/av8AhMvFF34b8/8A4QbyP7O+y+C/F/i/7b5X/CYTfbPM/wCEV/s/7P5lrt+3/a/Pb7L9muOLMPH/AMKnhZKhxt9Rq+3wLWJ/1dz7E8sFmWXOtR9jPK+V/XMOsRl/tN8P9f8ArUffw0D18i+j14r1MyhGvwB/a9L6nnMngP8AWfIcDzzhw/n9SjivrMM1Uo/2ViKeHzr2O2N/sb+z5XhmE0/zyor9NP8Ah3R/1WL/AMx7/wDhxVp/+Cb+yyt7z/hcufPury28v/hXeNn2SKxl37/+E5O7zPtu3btGzy87m34Tt/4mA8JP+ir/APMJxB/86zyP+JffFz/ok/8AzN8Pf/PQ/MGiv00/4d0f9Vi/8x7/APhxR/w7o/6rF/5j3/8ADij/AImA8JP+ir/8wnEH/wA6w/4l98XP+iT/APM3w9/89D8y6K/TT/h3R/1WL/zHv/4cVauP+Cb/AJEVjL/wuXf9ttXudv8Awrvb5ey9vLPZn/hOTvz9k8zdhMeZs2nZuY/4mA8JP+ir/wDMJxB/86w/4l98XP8Aok//ADN8Pf8Az0PzBor9NP8Ah3R/1WL/AMx7/wDhxR/w7o/6rF/5j3/8OKP+JgPCT/oq/wDzCcQf/OsP+JffFz/ok/8AzN8Pf/PQ/Muiv00/4d0f9Vi/8x7/APhxVq8/4Jv/AGSVIv8Ahcvmb7Wxud3/AArvZj7bZW95sx/wnLZ8vz/L3ZG/Zv2pu2g/4mA8JP8Aoq//ADCcQf8AzrD/AIl98XP+iT/8zfD3/wA9D8waK/TT/h3R/wBVi/8AMe//AIcUf8O6P+qxf+Y9/wDw4o/4mA8JP+ir/wDMJxB/86w/4l98XP8Aok//ADN8Pf8Az0PzLor9NP8Ah3R/1WL/AMx7/wDhxVq+/wCCb/2K9vLP/hcvmfZLq4tvM/4V3s8zyJXi37P+E5fZv2btu5tucbjjJP8AiYDwk/6Kv/zCcQf/ADrD/iX3xc/6JP8A8zfD3/z0PzBor9NP+HdH/VYv/Me//hxR/wAO6P8AqsX/AJj3/wDDij/iYDwk/wCir/8AMJxB/wDOsP8AiX3xc/6JP/zN8Pf/AD0PYf8AgnD/AMk0vv8AssNz/wCmDwNX3Pof/Ia0f/sKaf8A+lcNeGfsxfBb/hRWjxeEf+El/wCEp/tHx2niP+0P7G/sTyftdroGmfY/sn9q6v5nl/2R5/2j7Sm/7R5fkL5PmS+56H/yGtH/AOwpp/8A6Vw1/BfiXnGXcQcf8W53lGI+t5Zmec1sVgcT7KtQ9tQlhsupxqexxFOlXp3nQqrlq04TXJdxtKLf98+GWT5jw94f8I5Jm+H+qZnlmTUcJjsN7WjX9hiI4nMqkqftsPUq0KloYik+alUnB89lK8ZJfRlFFFfDn3IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUV8Aft9fHXXPgZYfswz6J8VvGfwrb4kftW/Cz4YajL4N+Enw8+LL+NdM8TDWPtPgXxBF8QfFvhOPwP4c1z7In9o+PfCz654t0H7PF/ZOg3/2iby/Mvil/wV0/Zv8AhP8AErxd4J1n4e/tJa94F+HHxJ074R/E/wDaQ8JfCJ9X/Zw+GvxBur7TdN1Tw34w+Ik/iCwvLXUvDN5q+nwa7aab4d1S68y5hTRoNYeaBZSj/tDhCl71WpmFbLaVJazqYijTyqbtLSlCM55zl+Gp+2q0JTxWIoYeLnWxWEo13VTopymn7OOCp46dRJtQo1MTmGGiuVKVWc3LK8bVtRpVr0aFaai/q+IdL9TKK/L340f8FXfgt8G/jd8Vv2fIfgh+1f8AGH4l/B7SPCniXxVpvwK+EWmfEe0fwj4o8L2HiuXxha3Vp41sXsPDPhi01fRLDxLqfiaDw8sOqazYxaRHrFot7e2nTeJv+Cov7NumfBb4FfGfwPo/xi+OLftIT63afCT4TfBH4c3Hjj40eIr3wfbS3PxDsz4JbU9Kgtp/hwYZYvF4fWWjh2i70aTWtNeO+eYzjOhHEQbnRnKhGE4xnJzeKrYvD4dxpqDryhWr4DHUYVI4eVH2mCxcJVqcsNXVIcXGoqTsqjpVa6TlDl9lRwuFx1Wbqc/sUoYLHYPFtOupvDYrD14U50asKj/Ryivy01T/AIK8/staJ+zj4f8A2mdX8P8Axq03wlqPx8P7NvizwXeeA9Mt/il8K/ihDa6tqOo6b8RPB0vipBaQ6RpWlDU9Qh8Man4q1oRajYWNpo93rK6hplh6t+zD/wAFDfhJ+1B8WPH3wL0/4c/H74J/Fz4f+GrHxrd/D/8AaJ+Gf/CsfE+v+C76+g09fFfh7SDrut3raRBc3+jeYNch0LUJoNc065sbG7gXUJLHWFOdSdSnCPPOkpymouMklTwWCzObhJSdOsll2Y4HH3w9TEXwWJp4uPNh/aVqUSnGFOFWb5KdSbpxlJSj76x1fLJRnGUVUpOOY4avgZe3p0FDFwWHm41alGFf6R+If/Iatf8AsFwf+ld7XB1rXPjXwb8UdX8RS/DPxb4Y+IsfgLxFq/w18cyeBde0rxcngz4jeFrlm8TeAPFj+H7vUF8O+NvDq6hYNrvhXWDZ67pAvrM6hYW4uYd7f7D1r/oD6p/4L7v/AOM1BR/JXRRRX+vB/j+FFFFABRRRQAUUUUAFFFFABRRRQAVLHHvWZs48mISYxndmaKLGcjH+t3Z5+7jHORFUsce9ZmzjyYhJjGd2ZoosZyMf63dnn7uMc5Hm5vX+rYGdX67/AGdbFZXT+t/V/rXL9YznJsL7D2Fnf6/9Z/sz2tv9m/tL65dfVOZe5w3hPrubU8P/AGV/bXNgM/rf2d9d/s/n+p8L8T4/639a5o8v9kfUf7d9hf8A27+w/wCzbS/tLllFRRRXpHhhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH9CH7Dv8Aya58MP8Audf/AFYfi2vrCvl79hfStUuf2WPhbNb6bf3EL/8ACb7JobO4lifb8RfFyNtkjjZG2urK2CcMpU8givrX+w9a/wCgPqn/AIL7v/4zX+W3iD/yXnGv/ZV8Q/8Aq1xR/qh4e/8AJA8E/wDZJ8Pf+qnChof/ACGtH/7Cmn/+lcNGh/8AIa0f/sKaf/6Vw1paPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCjR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAV8gfYHvVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH4of8Fi/EHh+fVv+CeXgCPxBoP/AAnOrft/fALX9M8HyazpkPia+0Gzv9Y0m81210Sa6j1GXRLPVNS07TrzV1tzp1pfX9na3FzHPcwo/wCbP7Wf/BPL/goh+0LqH7QWn/EX9n2/+P3jOx+NWteP/gJ8e/E37ZNvpvg/QfhDqnizwwjfBz4Lfs63mvaX4Z8F6rqugoL3xHrvjxPD2nx6d4e1W3024u/ENt4Vl1/+pPXvhJ8KfFPjbwt8SvE/wy+HviP4jeB4pofBXj/XvBfhvV/G3g+G4M5uIfC3irUNNuNd8PxTm5uTNHpN/aJKbicuG82Td6FU4SP1V0qyfNiaOcY3NabdpUKcqlbhatgnTjJe1hiaP+rFOGJrQnD2+Hx2MwEZxwOIrwra1qsqk4cqUaUMuwuBeso1qjhWzyrilOdOUYPDVFnc40aLUnTq4fDY92xuGw0qX82ll8QP2r/hv/wVV/4KIan+zD+zr4T/AGhdYu/hR+zJpfif4ea/8UfDvwr8S6DeT/Cjw1/wjfiTS/FHiOK58L61oehXMer2Xi7wu2raZqOtPfaHdaHqyJp987c5q3/BPv8Abr+Df7OP7IPwj8OeD9W/aM+HOmy/HDXP2vf2aPhV+0rbfsu6b47174vXV1qeleHNa+IS3Oht4g+G3hi0vTour6Fpt1df2nqcF99isTo2rx6hpX9Hel/Dj4eaH4y8T/EbRPAfgzR/iF42tdKsfGfjvS/C+h6f4y8XWWhWyWeiWfifxPaWMOt6/a6NaRR2ulW+q313Fp9tGkFokMSKo7OlShCGGwNKcY1auHw+Cw2IlUSqUa+HwWb8Q5vDAKjUUoTwFTE57GtUWKp18X9ZweGqxrcmGwsDP4Z1FTbhQtT9jGDdKrGrTyDh3II42Vai4Tp42GFyOpTpywk8Ph1QxtWMqKqzqTj/AC0+B/8Agmn+1t4L/ZW8O/Be0+A2i6Jr/hb/AIKweEv2iYtG8MfFjwfr3hdPgJo3huLSB4p8O6/4u8W2Ov3uk6EttDpVjpHie3sfiVqtlDbajf8Ahpr+4vVi/WPTP2fPi/b/APBW/wARftOzeEdnwOv/ANiez+Edp43/ALf8MN5vxDi+KWm+I5PD/wDwjS603i+Pbo1vNef2tJoCaGdn2ddSN2ywN+mdFb0qs6UqU03OdKWJmpVJTnKcsVwllXBtSVSUpSnOX9mZRhcQpObnLMJ4jEVJVIVnRWU6calKvRekcRGMZ8kYQtbiiXFt6cYxUIJ5nUnSUIw5IYFww1OMXRo1IeN/EP8A5DVr/wBguD/0rva4Ou8+If8AyGrX/sFwf+ld7XB1maH8n9FfWs/7C/7U9tPNbzfC3ZNbyyQyp/wm3w6bZLE5jkXcni5kba6kblZlOMqSMGov+GHf2o/+iYf+Xr8PP/mtr/Un/iIPAf8A0WvCn/iQ5V/81H+V/wDxD3j7/oieLP8AxHs2/wDmU+T6K+sP+GHf2o/+iYf+Xr8PP/mtqWH9hf8AanuHMcXwt3usU8xH/CbfDpcRW0ElxM2W8XKPkhikfaDubbtQM5VSf8RB4D/6LXhT/wASHKv/AJqD/iHvH3/RE8Wf+I9m3/zKfJVFfWH/AAw7+1H/ANEw/wDL1+Hn/wA1tH/DDv7Uf/RMP/L1+Hn/AM1tH/EQeA/+i14U/wDEhyr/AOag/wCIe8ff9ETxZ/4j2bf/ADKfJ9FfWH/DDv7Uf/RMP/L1+Hn/AM1tSx/sL/tTypPJH8LdyW0QmmP/AAm3w6GyJp4bcNhvFwLZmuIk2oGb59xGxWZT/iIPAf8A0WvCn/iQ5V/81B/xD3j7/oieLP8AxHs2/wDmU+SqK+sP+GHf2o/+iYf+Xr8PP/mto/4Yd/aj/wCiYf8Al6/Dz/5raP8AiIPAf/Ra8Kf+JDlX/wA1B/xD3j7/AKIniz/xHs2/+ZT5Por6w/4Yd/aj/wCiYf8Al6/Dz/5ralH7C/7U7QSXA+FuYYpYYZH/AOE2+HXyy3CTyRLtPi7ed6W0x3KpVdmGKlkDH/EQeA/+i14U/wDEhyr/AOag/wCIe8ff9ETxZ/4j2bf/ADKfJVSxx71mbOPJiEmMZ3ZmiixnIx/rd2efu4xzkfVf/DDv7Uf/AETD/wAvX4ef/NbWdffsbftHaZdaPZah8O/s134h1KXR9Dh/4S3wJN/aGqQaRqviCa08yDxRJFabNE0PWL/7RePBbt9i+yrKbu5tYZuDM/ETgang5Spcf8LYKf1jLorEQzbK8bJRnmuVU6lH6vHESbji6VSrgZ1rWwlPHVMdJxjgZSj7PD/htx1iM0p0qvhvxVm0Hgc8qPA1MtzTLIylQ4c4jxNPFfXJYeCjLLKuGpZxDD818wqZPTyqKnLNIwn8wUV9Yf8ADDv7Uf8A0TD/AMvX4ef/ADW1Kf2F/wBqdYI7g/C3EMss0Mb/APCbfDr5pbdIJJV2jxdvGxLmE7mUK2/Clirhe/8A4iDwH/0WvCn/AIkOVf8AzUeN/wAQ94+/6Iniz/xHs2/+ZT5Kor6w/wCGHf2o/wDomH/l6/Dz/wCa2j/hh39qP/omH/l6/Dz/AOa2j/iIPAf/AEWvCn/iQ5V/81B/xD3j7/oieLP/ABHs2/8AmU+T6K+sP+GHf2o/+iYf+Xr8PP8A5ralk/YX/aniSCST4W7UuYjNCf8AhNvh0d8SzzW5bC+LiVxNbyptcK3ybgNjKzH/ABEHgP8A6LXhT/xIcq/+ag/4h7x9/wBETxZ/4j2bf/Mp8lUV9Yf8MO/tR/8ARMP/AC9fh5/81tH/AAw7+1H/ANEw/wDL1+Hn/wA1tH/EQeA/+i14U/8AEhyr/wCag/4h7x9/0RPFn/iPZt/8ynyfRX1h/wAMO/tR/wDRMP8Ay9fh5/8ANbUs37C/7U9u4jl+Fux2igmA/wCE2+HTZiuYI7iFsr4uYfPDLG+0ncu7a4Vwyg/4iDwH/wBFrwp/4kOVf/NQf8Q94+/6Iniz/wAR7Nv/AJlPkqivrD/hh39qP/omH/l6/Dz/AOa2j/hh39qP/omH/l6/Dz/5raP+Ig8B/wDRa8Kf+JDlX/zUH/EPePv+iJ4s/wDEezb/AOZT5Por6w/4Yd/aj/6Jh/5evw8/+a2pZ/2F/wBqe2nmt5vhbsmt5ZIZU/4Tb4dNslicxyLuTxcyNtdSNysynGVJGDR/xEHgP/oteFP/ABIcq/8AmoP+Ie8ff9ETxZ/4j2bf/Mp+rf7Dv/Jrnww/7nX/ANWH4tr6wr57/ZW8D+Kfhv8AAXwJ4L8aaX/Y3ibRv+Eo/tLTftunaj9m/tHxn4i1az/0zSbu+0+bztPvrW4/0e6l8vzfKl2TJJGn0JX+b/HOIw+L414uxWFr0sThcTxNnuIw2Jw9SFahXoVszxNSlWo1ablCrSqwlGdOpCThODUotppn+k3AuHxGE4J4QwmLoVsNisNwxkWHxOGxFOdGvh69HLMNTq0a1Koo1KVWlUjKFSnOMZwnFxkk00amh/8AIa0f/sKaf/6Vw0aH/wAhrR/+wpp//pXDRof/ACGtH/7Cmn/+lcNGh/8AIa0f/sKaf/6Vw18sfVH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRXm/wAY/ij4f+CPwo+JHxi8V2esah4Z+F/gnxL481+x8PW9ld67eaR4W0m61jULbR7XUtQ0nT7jUprW0kjs4b3U9PtZJ2RZ7y3jLSr85fB39u34RfG74r/Dn4O+FPDnxH0/xN8Tv2VfCv7X2gX3iHSPDNpoVp8NfF+raZo+m6Hq91pvi/VtQt/HMF1qtvJfabZaZqGgRQJM1v4muZFSKQpr2s50qfv1Kfxwj8Ub4PF5gr3sv9ywGMxO7/dYaq/iUacyf7qmq1T3KUue05fC/Z1sFh52td+7XzLAUnp8eLopXTlKn7j8Q/8AkNWv/YLg/wDSu9rg67z4h/8AIatf+wXB/wCld7XB0AfxeT/8Fbf+Cg9zPNcTftAb5riWSaV/+FU/BJd8srmSRtqfDZUXc7E7VVVGcKAMCov+Hs//AAUD/wCi/f8AmK/gp/8AO4r856K/uD/VPhb/AKJvIf8Aw04H/wCUH8Tf618Uf9FHnv8A4dsd/wDLz9GP+Hs//BQP/ov3/mK/gp/87ipYf+Ctv/BQe3cyRftAbHaKeEn/AIVT8EmzFcwSW8y4b4bMPnhlkTcBuXduQq4Vh+cVFH+qfC3/AETeQ/8AhpwP/wAoD/Wvij/oo89/8O2O/wDl5+jH/D2f/goH/wBF+/8AMV/BT/53FH/D2f8A4KB/9F+/8xX8FP8A53FfnPRR/qnwt/0TeQ/+GnA//KA/1r4o/wCijz3/AMO2O/8Al5+jH/D2f/goH/0X7/zFfwU/+dxUsf8AwVt/4KDxJPHH+0BtS5iEMw/4VT8EjviWeG4C5b4bEria3ifchVvk2k7GZW/OKij/AFT4W/6JvIf/AA04H/5QH+tfFH/RR57/AOHbHf8Ay8/Rj/h7P/wUD/6L9/5iv4Kf/O4o/wCHs/8AwUD/AOi/f+Yr+Cn/AM7ivznoo/1T4W/6JvIf/DTgf/lAf618Uf8ARR57/wCHbHf/AC8/Rj/h7P8A8FA/+i/f+Yr+Cn/zuKlH/BW3/goOsEluP2gMQyywzSJ/wqn4JfNLbpPHE24/DbeNiXMw2qwVt+WDFUK/nFRR/qnwt/0TeQ/+GnA//KA/1r4o/wCijz3/AMO2O/8Al5+jH/D2f/goH/0X7/zFfwU/+dxW/o//AAVL/wCCgerad4qv/wDhoj7P/wAIzoFvrnlf8Kk+Ckv277R4o8N+G/svmf8ACvY/s2z/AISH7b5+y43fZPs3kr9o8+D8yK3tH0P+1tO8VX/2r7P/AMIzoFvrnleR5v277R4o8N+G/svmedH9m2f8JD9t8/Zcbvsn2byV+0efBw5lwxwtQwkqn9jZDgrYjL4fWP7CwOI5fbZpleH9j7L6u7/XPb/UPaW/cfXvrN19WuvYyHiLijF5nCh/aOe5tfBZ3V+o/wCsOOwPP9V4d4hxv1r6z9Yjy/2X9T/tn2N/9s/sf6haX1/ll99f8PZ/+Cgf/Rfv/MV/BT/53FSn/grb/wAFB2gjtz+0BmGKWaaNP+FU/BL5ZbhII5W3D4bbzvS2hG1mKrsyoUs5b84qK7v9U+Fv+ibyH/w04H/5QeP/AK18Uf8ARR57/wCHbHf/AC8/Rj/h7P8A8FA/+i/f+Yr+Cn/zuK/p2/4J5fFr4g/HP9j34QfFP4p+IP8AhKPHnij/AIT/APt3Xf7K0TRPt39ifFHxt4d0v/iV+HdN0jRrX7Lo2kadZ/6Hp1v532f7RcebdSzzy/w41/aR/wAEmP8AlH58Af8Auqn/AKuv4j1+V+LuR5LlvDeCr5dlGWYCvPOsPSlWweBw2GqypSwWPnKnKpRpwk4OUIScG+VyjFtXSt+o+Eud5zmXEeNoZjm2ZY+jDJsRVjRxmNxOJpRqxxmBiqkadapOKmoznFTS5lGUknZs/RitTUP+PTQ/+wXN/wCnrWKy61NQ/wCPTQ/+wXN/6etYr+cz+iDLooooAK1NY/4+4f8AsF6H/wCmXT6y61NY/wCPuH/sF6H/AOmXT6AMuiiigArU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmoAy6KKKANTQ/8AkNaP/wBhTT//AErho0P/AJDWj/8AYU0//wBK4aND/wCQ1o//AGFNP/8ASuGjQ/8AkNaP/wBhTT//AErhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8eP8AgtL4h1PSv2fvgj4e1fxLr/g34E/EX9qv4QfD79qHxL4e1XUdEltPgN4jbXIPF9hrWraXbzXGn+GNV2W1vrM7NHBOy2WmXC3cOovY3P53ftEXf7LX7OH7HH7d3hP/AIJZ/H3x3rUf/FjdX+KHhH4cfEPxh8S/gz8DPC/ijXdN8PeIPFvw8+J0Ok66YtZ8f6NDdWPxCg0r4s+L/EC2dpdr/Z+i6f4WNjpv9Pnibwx4b8aeH9Z8JeMfD2h+LPCviLTrrSPEHhnxNpNhr3h/XdJvYmgvdL1nRtUt7rTtT067hZobqyvbae2uImaOWJ0JB47wT8FPg18NPCGrfD74cfCX4ZfD/wABa9LqM2ueCPBPgPwr4V8IazNrFjDpmrzat4a0LSrDRtRl1TTbeDT9RkvLKZ76xhhtLkywRpGvN7CX1bM6CcFLG1pV1NKS+twlDI1HK81v7RVsppSyaqoUqFKdb2OcZjTjCjUnUxGO6VXSxGW17SawVNUnB8rjRmsZmOJeZYFWTp5o4ZhTpqpVnGjzZfgpVHWoReEpfyM/ATwVqHw08I/t2+GPht8ZP2LNR+GWtf8ABPD4t+JviB8G/wBjrx/+1p8V/B51p9JuofCHxI17xR8arHxj4J8P/ESJLi98Mar4Zh+Kek+IodCdQfh6pivNUj+/P+CfP/J9P7In/aDr4If+p14Or90PCX7OH7PPgDwp4s8CeBPgN8GPBXgfx7by2njrwb4S+F3gfw54U8aWs9lLps9t4s8PaPodnpHiO3m06eewlh1izvI5LKaW1dWgkeM9B4e+Dvwi8I67pHijwp8LPhx4Y8TeH/A1j8MNA8ReHvA/hnRdd0T4a6ZPDdab8PNI1fTdLttQ03wNp91bW9zY+ErK4h0C0nghmt9PjkiRl9OniI08QqtpyhGg6UVJxdVKWTcW5ZGm6ju50sPPiPDrD8751hcHiIctF18NhsH50qLlg54a8YylOpLmipezfNiODavtHDdVq3+rGJqYlx5lKvjcNJ1cTKhiMViPPLnwlpXw61fxFH4fu/E+oL4z8Rav4/1g+OvGvjL4ovZ674iuWXULDwnL8TNe8XSeAvBNuLGH+wvhr4Gfw78OfCxe8bwz4V0htQvzct/ti7/546X/AOCPRf8A5X11HxD/AOQ1a/8AYLg/9K72uDrlOg/zn6KKK/0AP4HCiiigAooooAKKKKACiiigAooooAK3tH0P+1tO8VX/ANq+z/8ACM6Bb655Xkeb9u+0eKPDfhv7L5nnR/Ztn/CQ/bfP2XG77J9m8lftHnwYNb2j6H/a2neKr/7V9n/4RnQLfXPK8jzft32jxR4b8N/ZfM86P7Ns/wCEh+2+fsuN32T7N5K/aPPg4cyq+wwkqn1v6lbEZfD6x7D6xy+2zTK8P7H2Vnf657f6h7S37j699Zuvq117GQ4b63mcKH9m/wBrXwWd1fqP1v6jz/VeHeIcb9a+s3jy/wBl/U/7Z9jf/bP7H+oWl9f5ZYNFFFdx44V/av8A8EktSuLf/gnx+z/FHHYMif8AC1sGbStLuZTu+NvxJY7prizlmfliF3yNtXCLhFVR/FRX9pH/AASY/wCUfnwB/wC6qf8Aq6/iPX4/41/8ktgP+x9hv/UHMT9d8GP+Sox//YixP/qdl5+ln9sXf/PHS/8AwR6L/wDK+tK+1W6W20dhFppMmmyu27R9IcAjV9VjxGr2LLEm2NSY4giFy8pUySSO3M1qah/x6aH/ANgub/09axX8vn9Nh/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1l0UAan9sXf/PHS/8AwR6L/wDK+tLVdVuo7mJVi00g6bo7/Po+kSHMmkWMjANJYswQMxEcYISJAsUSpGiIvM1qax/x9w/9gvQ//TLp9AB/bF3/AM8dL/8ABHov/wAr6P7Yu/8Anjpf/gj0X/5X1l0UAan9sXf/ADx0v/wR6L/8r60tY1W6j1fVY1i00rHqV8imTR9IlchbmVQXllsXkkcgfNJI7O5yzszEk8zWprn/ACGtY/7Cmof+lc1AB/bF3/zx0v8A8Eei/wDyvo/ti7/546X/AOCPRf8A5X1l0UAdNo+q3Umr6VG0WmhZNSsUYx6PpETgNcxKSksVikkbgH5ZI3V0OGRlYAg0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysARm6H/wAhrR/+wpp//pXDRof/ACGtH/7Cmn/+lcNAH0ZRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFch4t+IXgHwAfDi+O/HHg/wU3jHxLpngvwivi3xLovhs+KfGOtGRdH8J+HBrN7ZHXPEurGGUaZoWmfatUvzFILW1lKNjr6FquZaxUpQclrFTgoSnBtXXPCNSnKUL88Y1KblCKqU3MejSejcVNJ6NwcpQU0nZuDnCcFNJwc4TgpucJRiUUVyA+IXgE+Oj8Lh448Hn4mL4a/4TRvh2PEuinx0vg7+0F0j/hLD4R+2/8ACQDw1/arrpn9unT/AOy/7QZbL7V9pYREWrUVrKSm4xWsmqcHUqNRV5NQpp1JtRahTTnNwgnND0Tk9Ix5eaT0jHmnGnHmk7RjzVJwhHmceac4QjzTnCEuK+If/Iatf+wXB/6V3tcHXefEP/kNWv8A2C4P/Su9rg6AP5Vb7/g58+23t5ef8MQeX9ruri58v/hpXf5fnyvLs3/8KATfs37d21d2M7RnAq/8ROf/AFZH/wCbJ/8A4gq/lLor+iv9ROFf+hX/AOXmP/8Amk/nv/Xjij/oZ/8Alngf/mY/q0/4ic/+rI//ADZP/wDEFVqz/wCDnz7JK8v/AAxB5m+1vrbb/wANK7MfbbK4s9+f+FANny/P8zbgb9mzcm7cP5QaKP8AUThX/oV/+XmP/wDmkP8AXjij/oZ/+WeB/wDmY/q0/wCInP8A6sj/APNk/wD8QVH/ABE5/wDVkf8A5sn/APiCr+Uuij/UThX/AKFf/l5j/wD5pD/Xjij/AKGf/lngf/mY/q0/4ic/+rI//Nk//wAQVWrf/g588iK+i/4Yg3/bbVLbd/w0rt8vZe2d5vx/woA78/ZPL25THmb9x2bW/lBoo/1E4V/6Ff8A5eY//wCaQ/144o/6Gf8A5Z4H/wCZj+rT/iJz/wCrI/8AzZP/APEFXq/wH/4OJf8Ahdvxx+DPwZ/4Y+/4Rn/hbnxX+Hfwx/4ST/hoH+2v+Ef/AOE+8X6P4V/tz+x/+FJaT/a39k/2t9v/ALN/tTTft/2f7L/aFn5v2iP+PSvq39g//k+L9jP/ALOt/Z3/APVveD65sZwRwxSweMq08s5alLCYurTl9bxz5Z0sLiqkJWeJafLOnCVmmnazTTafRg+NeJauMwlKpmXNTq4vC0px+qYJc0KmKw1OcbrDprmhUmrppq9000mv9LutSH/kC6h/2FNH/wDSTXKy61If+QLqH/YU0f8A9JNcr+fj98MuuY1/xJ/Yeq+CNM+xfav+Ey8UXfhvz/tHkf2d9l8F+L/F/wBt8ryJvtnmf8Ir/Z/2fzLXb9v+1+e32X7NcdPXMa/4k/sPVfBGmfYvtX/CZeKLvw35/wBo8j+zvsvgvxf4v+2+V5E32zzP+EV/s/7P5lrt+3/a/Pb7L9muMMRLkpOXtfY/vKC9pye0tz4nDQ5OXX+Lz+w5vse39p/y7uvRyqj9YxsaX1P6/fDZlP6r9Y+rc3sMozbE+39tdW+pfV/7R9nf/aP7P+q2f1qz6etSb/kC6f8A9hTWP/STQ6y61Jv+QLp//YU1j/0k0OtzzjLooooAK1NQ/wCPTQ/+wXN/6etYrLrU1D/j00P/ALBc3/p61igDLooooAK1NY/4+4f+wXof/pl0+sutTWP+PuH/ALBeh/8Apl0+gDLooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigDU0P/kNaP/2FNP8A/SuGjQ/+Q1o//YU0/wD9K4aND/5DWj/9hTT/AP0rho0P/kNaP/2FNP8A/SuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8KPF/j3/AIKD/H3/AIKAftofs2fAL9rjwx+z58OvgV4O+C3i7wxJq3wN+GnxP1qLV/F/w70vUpPDNgdfsLO6j8PeJNavtW1bxP4k12bxXqOgTafoNj4b0+3sr3ULWb5Y8f8A/BSP9uvxj+wj+y78efCA8W+ALSTxR8ZvD/7Wfx7+AvwE8HftDaz4Ti+Dy3OkeH9fh+G3jfWtA+H2ieEfHk/nax4u8RX/AIh8P6Xol9pMkmhanpenPa+Gdd+pfFn/AATL8afHj/goT+2d8ZPiF4h+O3wL+G3xE8EfBrQPhV8Y/wBn3416J4A8Y+K7LTvAegaB8T/A2r6Zp134kvpPCWpX+iaaNX07xr4KgttQuND0+60S88nznuvrbxz/AMEsP2ZPFHwr+APww8G6h8W/gRdfsyjV1+D3xV+BXxAk8D/GDw1F4oSdvG8Z8Z3Ola4l2fHN/cSat4luJdKF5JqLznSrnSrS8vrS65qEKyyrL+dv208LlFSrQnLnxDxdDO+KZ47F4mvKdKrThPK6mVYOeUyq05Yj2WExl+WhRhmHTWnS/tHE8iXs4PFQp1Yx5KEaVfhjh6lSw9OjGFWnXqrOvr2Op5n7KosLU+uYWdNyq1o4b86vDP8AwUp/aC8QfsF/By/+H3xs+EHxj/aT+O37V/h79knw98cIPAPiHwxp3w6m+IUA1jRvFfxO+GWpeCvD+hWnxN8L6XfW1jc6L4b0rxB8Lri7Ftqekav8RLHTtSg1v0TxH+05+2j+yZ8Rv2jf2Xfjb8ftB/aM8UzfsMfGD9qz4G/H3S/g74I+F3ifwL4o8BaJ4ksk8MeJ/h34eXWfBN/oEOoeHptc0fVNXtb9rvUQNMv5NTs9RGlaL9rWv/BLL9lo/s0+Lv2ZvEK/Erxxpnjn4gal8YPE3xg8aeOZtZ+POofGi+Zxa/F7/hYC6dawQeO9IgMVnZXcGgpo99Zx3MHiLRdcXW/Ef9sr8NP+CYfwO+H2h/HSHXPiP+0N8aviF+0D8LvEPwV8Y/HT48fE+D4lfGXR/hd4j0aXSbnwb4P8S6h4btdH0XSbWaZ9atUuPDmpSzautq2qSalpun6dptpvjVKqsy+rvknWoYtRkm1DEKtwxluAwOEwicKUssqYDiOhjM0qZm6VOtjKVWVWrB1cTPL8Phg3GlLLPrC56WHxWEdWLSdSmqXFsMxxWMxMlKpHH0sTwz7bKFlSnUo05zo0oy5KLxsvytuviP8Atj3nwM/4Js/H39ob48eBPjPP+0x+2F+x9/YfgDVv2ZvgMNM+FGg61beKDq2qaD4k1Pwlr2qyeP8AxhZ/2Lrk3jTw/B4M1nwJqzapp/gebStPuFEfHftl/wDBSj9r/wCFXxT+K/xG+DX7QieP/h38Jfj7H8N7z4M/B/8AZOvfHXwB8O6Hoeu+HNLh8N/tAftaeP8Aw/4S1jwz8VPHn9oapaT+F/hA3jvSbbVrOLT9J8XaHLfWssf7g63+wN8Hte+Ev7JvwbvPEnxKj8MfscePvhT8Rfhjf22seF017Xdb+D9nPZeGrXx3dS+DZtP1PSr6Kd212Dw/pfhe7uZAp0++0xQUPy745/4Ip/sweOp/ixaXHxX/AGsPDvgb4seNr34m3Hwj8LfGtNP+Engv4m6lruk65f8AxC8HeBbvwpqOmyeKbgadeaRHdeNG8ZWdho+u6jDpljZXdh4ZvfD/AGOpRWZ0qkIJZdhs+x+Oo0lCNquXVMXwTCjQxNCXu1p18ry7ieEnVVevHF16EKtSjh8TDFYHGlBvB0oV3z4qrlNDB4ybnUTjivrfFGIqVcNWpONSkqc8bkMmqDw9N0KFf2EZYyiqeL+G/wDgpR+3V+3B+z/+014h0i1+K/jD9lD4CHS/hlpXwT8cv+yx4Y+MnwJ+JfibXNCuPEXjOX4ufFzV7bVfHngm70W8F7o9zoPwm8DfEXxN/wAI/oj6ha+Bre7jGteIPtL4M/HHUvid/wAFP/h6be7+FPiDw343/wCCX3hT4rf8JX4J8A+Fnu9U1rXfiroi3LeGvilrvg+w+NX/AAr2b7VNPpngfX9fstJhl8jUdX8K2niaGaWH1r48f8EqPgf8dPiP40+KEXxf/ah+CuvfFXwno/g7416b8A/i3Z/D7wx8cNL0TS5dBt5PinoM3hLXLTxDNc+H5n0PULa2/szSL2wedpdL+3Xl9eXXvfw8/Yj+Cnwp+OvhT48+AV8U+HtX8D/s2aP+yt4W8Dwarp9z4A0n4YaD4is/Eulypa3ujXPi268TwXVjBaSavfeMLq3urPzXu9On1GV9QOGX8tCnh44j350K+de/aVWpOli8kzvA4eVSpP3pRni8VlsoQpypuCpOricJhnhVTxixCq1adXkdp1sqyihOPuU6axeFx/CuLxMowppU1Vksvzx1arhUpS+sKGFxFWOLpwy7tLm08Zafq/iIfEzXvDHi6S88Ravf+Bn8C+EtV+HSeHfhzcXLf8Iz4V8WR+IPGvxRbxn420hkvzrvj/R5fAWheIhc2a6f8NfCxsZm1BvnaL/0D9U/8HFp/wDKOuo+If8AyGrX/sFwf+ld7XB1Bqf5S9FFFf1wfyeFFFFABRRRQAUUUUAFfV/7BZQfty/sYmVXeMftYfs6mRI3Ebsg+L/g/eqSNHKsbsuQrtFIFJDGNwNp+UK+rf2D/wDk+L9jP/s639nf/wBW94PrkzD/AJF+Yf8AYBjv/UHGnXl/+/4D/sOwP/qbgz/TP87Rf+gfqn/g4tP/AJR1pRS6R/ZF8RY6kIxqWlB0Oq2pdnNtrHlssn9jhVRVEodDE5kLxsskYjZZeZrUh/5Auof9hTR//STXK/lI/qUPO0X/AKB+qf8Ag4tP/lHXMa/4p0XQ9V8EaZ/YeqXX/CZeKLvw35//AAkFpB/Z32XwX4v8X/bfK/4Ryb7Z5n/CK/2f9n8y12/b/tfnt9l+zXGnXMa/4k/sPVfBGmfYvtX/AAmXii78N+f9o8j+zvsvgvxf4v8AtvleRN9s8z/hFf7P+z+Za7ft/wBr89vsv2a4wxEuSk5e19j+8oL2nJ7S3PicNDk5df4vP7Dm+x7f2n/Lu69HKqP1jGxpfU/r98NmU/qv1j6tzewyjNsT7f211b6l9X/tH2d/9o/s/wCq2f1qz7vztF/6B+qf+Di0/wDlHWlLLpH9kWJNjqRjOpaqEQarah1cW2j+YzSf2OVZGUxBEESGMpIzSSCRVi5mtSb/AJAun/8AYU1j/wBJNDrc84PO0X/oH6p/4OLT/wCUdHnaL/0D9U/8HFp/8o6y6KANTztF/wCgfqn/AIOLT/5R1pX0ukC20ffY6kynTZTEF1W1Uon9r6qCsjHR3EjmQSOHVYgEZI/LLRtLJzNamof8emh/9gub/wBPWsUAHnaL/wBA/VP/AAcWn/yjo87Rf+gfqn/g4tP/AJR1l0UAannaL/0D9U/8HFp/8o60tVl0gXMXmWOpM39m6OQU1W1jAQ6RYmJSraPIS6RlEkfcBI6tIscSsIk5mtTWP+PuH/sF6H/6ZdPoAPO0X/oH6p/4OLT/AOUdHnaL/wBA/VP/AAcWn/yjrLooA1PO0X/oH6p/4OLT/wCUdaWsS6QNX1US2OpPINSvhI8eq2saM4uZd7JG2jytGjNkqjSyFQQpkcjceZrU1z/kNax/2FNQ/wDSuagA87Rf+gfqn/g4tP8A5R0edov/AED9U/8ABxaf/KOsuigDptHl0g6vpQisdSSQ6lYiN5NVtZEVzcxbGeNdHiaRFbBZFljLAFRIhO4Gjy6QdX0oRWOpJIdSsRG8mq2siK5uYtjPGujxNIitgsiyxlgCokQncM3Q/wDkNaP/ANhTT/8A0rho0P8A5DWj/wDYU0//ANK4aAPoyiiigAor5U0z9tn9mrWfjc/7Pmm+PNYufiEPFOr+ALfUh8MfixF8ItT+Jnh/RLvxH4g+Emh/tDT+B4v2f/EHxl0DQtN1jU9c+D2ifE3UPibpFr4f8SvqPhS2PhvXl073bx78RfBnww0bTvEHjrXItA0jVvGHgTwDp13LaahfG78XfEzxnoXw+8EaNFbaZaXt35uueLvEmjaULloFsdPW7fUtVurHSrS9vrYh+8p0KtP95SxUlDDVIe9DETlVp0IwoyWlWUq1ajThGF3OVahyKcK9CriHJOE6lOacalKLnVhJWlTioVKkpTTtyxjClVlOTdqfsa0ajpVKNajQ7Wiop54baGa5uJY4Le3iknnmldY4oYYkMksskjEKkcaKzu7EKqgkkAGvkvwF+3L+zl8TZvgjbeCdb+JusXH7RcHjHU/hFDL+zn+0do8viLwt4EfRY9f+ImrR658J9NbwN8JpH8S+Gk8N/F/x+PC/wv8AGzeJfDg8F+LvEB17SfthFqdRUoe9Vfs7U43c/wB7KrClol/y8lh66hdq6oV5e7To1a1JS92DqS92mvaXm9Ir2VOFWpq/+fdOpTnOydo1Ke8qlOnU+uaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPG/iH/wAhq1/7BcH/AKV3tcHXefEP/kNWv/YLg/8ASu9rg6AP5Tb66/4Nb/tt59ik/wBD+1XH2T5f+CiH/Ht5r+R/rV83/VbP9b+8/v8AzZqr9q/4NeP+en/jv/BQz/4mv5M6K/oD/Vmf/RScU/8Ah2f/AMpPwX/WSH/RO8Mf+Gpf/Lj+sz7V/wAGvH/PT/x3/goZ/wDE1as7r/g1v81/tcn7r7LfbPl/4KIf8fP2K4+xf6pd3/H55HX93/z1/db6/kpoo/1Zn/0UnFP/AIdn/wDKQ/1kh/0TvDH/AIal/wDLj+sz7V/wa8f89P8Ax3/goZ/8TR9q/wCDXj/np/47/wAFDP8A4mv5M6KP9WZ/9FJxT/4dn/8AKQ/1kh/0TvDH/hqX/wAuP6zPtX/Brx/z0/8AHf8AgoZ/8TVq3uv+DW/yr7z5P3v2VPsXy/8ABRD/AI+fttnv+4u3/jz+1/63936fvfKr+Smij/Vmf/RScU/+HZ//ACkP9ZIf9E7wx/4al/8ALj+vjwF4Q/4Nofif468F/DXwNp/9ueNfiH4s8OeBvB+i/a/2+9M/tfxT4t1iz0Dw/pf9o6xc6fpOn/2hq2oWlp9t1S/stOtPO8+9u7a2jlmT9YfAf/BHv/gnP8MvHPgz4keCP2d/7E8afD7xX4d8b+ENZ/4W38dNS/sjxR4T1ez17QNU/s7V/ibf6Tf/AGDVrC0u/sWqWN7p115XkXtpc20ksL/wr/sE/wDJ8/7F/wD2dj+zp/6uDwdX+mvXwfGCzDI6+Ew2Gz3PK9LGYSvOssVmVape1b6u4JQ9nFwnTnJTjJS5uZq/K2n91wi8BndDF4jE5JklGrhMVQhReFy6lTtej7dTbn7SSnGpCLhKLjy8qdrpNFakP/IF1D/sKaP/AOkmuVl1qQ/8gXUP+wpo/wD6Sa5X52foBl1zGv8AiT+w9V8EaZ9i+1f8Jl4ou/Dfn/aPI/s77L4L8X+L/tvleRN9s8z/AIRX+z/s/mWu37f9r89vsv2a46euY1/xJ/Yeq+CNM+xfav8AhMvFF34b8/7R5H9nfZfBfi/xf9t8ryJvtnmf8Ir/AGf9n8y12/b/ALX57fZfs1xhiJclJy9r7H95QXtOT2lufE4aHJy6/wAXn9hzfY9v7T/l3dejlVH6xjY0vqf1++GzKf1X6x9W5vYZRm2J9v7a6t9S+r/2j7O/+0f2f9Vs/rVn09ak3/IF0/8A7Cmsf+kmh1l1qTf8gXT/APsKax/6SaHW55xl0UUUAFamof8AHpof/YLm/wDT1rFZdamof8emh/8AYLm/9PWsUAZdFFFABWprH/H3D/2C9D/9Mun1l1qax/x9w/8AYL0P/wBMun0AZdFFFABWprn/ACGtY/7Cmof+lc1Zdamuf8hrWP8AsKah/wClc1AGXRRRQBqaH/yGtH/7Cmn/APpXDRof/Ia0f/sKaf8A+lcNGh/8hrR/+wpp/wD6Vw0aH/yGtH/7Cmn/APpXDQB9GUUUUAflZ8D9H/ai+E8up/soz/sh3nijwQnx4/aB8axftb698Y/g3pPwbl+GPxj8efEr4zaN4j0fwrY634u/aN1D466Hq/xFsfh5q/gbWPgd4Q8BXd/pXiTxPY/HUaONFh178y4/2Jf2n/id8LvAuhfHH9gR/E2kfs+fA3/glX8KbT4YeNvFn7JfxC1D4veKv2R/2l/E/iD9oXxB8N4tU+NGo/D+38H6t8JfEdy/gif4qa18KvE/inw/qfiXw74h8O6FqOpHw3N/SHfa7qsN7eQx3W2OK6uI418i2O1EldVXLQljhQBliSepJPNVf+Eh1j/n8/8AJe1/+MU8LJ4arg6ytWq4N5ZOM60Yt1K2TRwFDLa81TVOMKuGwWAhhYuhGnzTrVcwc1mFPCTwlVJKpSxNBRVKlinjlUhTc7qnmft55hSjUnOdTkxOJrzxDc3OdKKWCpN4F1IVPxk+AX7DPj6y/aB+Imo+P/2UNB8Lprmh/t4eGv2k/j94k174O+KtG/b68IftHfFWDxF+z74M1jRNE8WeJfiL490P4V/DWNfCer6T+0v4L8CaR8HrazHw0+C0fjP4eeINY1S2739j7/gnH4Z+CXxB/wCCbvjrUP2U/gt4G1/9mr/gnr45+EnjDxVongz4OxeIPhz8ePFWtfA/Vr3T9F1bw2s+qzaxrl3qf7Seoan4w8HzX+j3d542+Itxf6+1x8Sb5vEf7RWMjzWVpNI26SW1t5JGwBud4kZmwoCjLEnCgAdAAOKtVWFm8HChGjo8PRpUYzvKMnGjgc4y+FuRwjRhHD51i5RoYdUsNTxE8TiaVGnWzbO5ZlFa9dYiM2+TE1K9SpTXwN4mpgalXmjJyVWU/qFGlKrXVWtUw0cNhKtSphssymlgiiiioGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5p/8FgPHnjj4Z/8ABOv9orxv8N/GXiv4feNNEtPh02i+LvBHiLV/CnifSGvvi34D029bS9f0G8sNV09rzTry7sLo2l3Ebiyurm1lLwTyxt5p8AP+CjHxE1D43/AP9nH4/wD7Kvj/AOB1l8ePhTqXiv4HfFbxj8UPBnjPW/iNH4G8F2HifXL3x34G8MrqF58Nby90WLUNRubfXvFus67Z6k+n2Oq6bC+oXV3p31D/AMFEv2b/ABx+1x+x18Yv2e/hvqvhTRPGnxCt/B0Oi6n43vtX03wxat4e+IPhTxXenVL3QdC8S6rCsunaFdw2ptNFvS97JbRyiCB5bmHyL4l/sWfEXx1+1R+wD8aY9Y8BHwJ+y58Nviz4I+J+j3+p+II/EWv3HxA+GEPgexbwZZweF7jS9SsI79JZdSk13WPDk8WnsJba2u7gm1GWF9tTlmKtCX1nM8MqNPEtxoeyhwNxSqeKVWF61KnR4joZBhanJKNJ1MdVlWwuJlKGIwl4rknhsO4OUa2GwGbVeaioyrTxEuIeE5UMI6dRxo1XiMsed1aaqfvFDCuFLE4OPtI4n55f/gsTr50bUP2grb9jD4l3H/BP3S/iE3gO7/a9PxE8KW+sNbR61B4Pm8b2f7Ps+kr41vfBaeN7hNHGrwa82LFZnmig8WWt34Jt5/gP+1b+1d4//wCCr/7RHwd1D4b3+tfs9+HPBfga20q6g+LfgdfDfwr8EX+g614l8H/F608NWGmQah4+v/jlqP8AZkR0tLm58T+A7DVbe11XUX0jSRZp5JF/wS+/bcsvgzqn/BPzTvjv+z7F/wAE+tT8fXGsDxjJ4a8bx/ta2Hw6vfGEXxLu/h/bWFrZQ/CeaSTxgs9hJ4gu7+S+ns7u51kLb6cbfwBa/ZHhD9j/AOP/AMHf+Cg+vftCfCHXPgmf2avil8Kvhf8ADT4neD/GD+OF+K3hyz+E/he98P8AhqP4aR6PpbeFZ182y0CS6v8AxPr2JLC81u0GjLdWWm6jcdOFVFYvBVJOc8OoZnQoyxaVOvOOJ4PoWr53h6N6GErUuJFjMJgJ4b2kYU6nNGPsvqmY1ssY5ujmNOkoqbnRqWwzdSnCnhuLZvCxyqtWUa2Iq1uG3RxeYUsQoKdejTpz5ZzxmXw+u7nXtV8Xav4ifxB4K8T/AAubw74i1fwro8Xjq78G6g/j3QtIuWOn/Erwmfhn4t+Isdn4J8Um5mXQrDxzJ4M+I1udPvP+Em8AeHVewa+b/Z9p/wBBzS/+/Otf/Keuo+If/Iatf+wXB/6V3tcHWZR/k70UUV/VB/L4UUUUAFFFFABRRRQB9Z/sDKH/AG6/2LEaRIlb9rT9nJWlkDlIw3xh8HAyOIkkkKIDuYRxyOQDsRmwp/06f7PtP+g5pf8A351r/wCU9f5in7BP/J8/7F//AGdj+zp/6uDwdX+mvX5D4lf7/lX/AGA4n/1MifrXhx/uOaf9huH/APUORqf2faf9BzS/+/Otf/KetKKxtRpF8n9saaVbUtKYyiLV9iFbbWAsbA6UJC8gdmQpGyARSeY8bGJZOZrUh/5Auof9hTR//STXK/NT9GD+z7T/AKDml/8AfnWv/lPXK+IdWtdB1fwLpYvNNvR408VXnhlrlZNXgGki18EeMvGP9oSRPobtepI3hJdKFtE0Lo+ppeGQx2kkMutXMa/4k/sPVfBGmfYvtX/CZeKLvw35/wBo8j+zvsvgvxf4v+2+V5E32zzP+EV/s/7P5lrt+3/a/Pb7L9muMMRLkpOXtfY/vKC9pye0tz4nDQ5OXX+Lz+w5vse39p/y7uvRyqj9YxsaX1P6/fDZlP6r9Y+rc3sMozbE+39tdW+pfV/7R9nf/aP7P+q2f1qz7v8As+0/6Dml/wDfnWv/AJT1pS2NqdIsU/tjTQq6lqrCUxavsctbaOGjUDSjIHjCKzl41QiWPy3kYSrHzNak3/IF0/8A7Cmsf+kmh1uecH9n2n/Qc0v/AL861/8AKej+z7T/AKDml/8AfnWv/lPWXRQBqf2faf8AQc0v/vzrX/ynrSvrG1a20cHWNNQJpsqqzRauRKDq+qv5kezSmYIGZoiJVjffG5CGMxySczWpqH/Hpof/AGC5v/T1rFAB/Z9p/wBBzS/+/Otf/Kej+z7T/oOaX/351r/5T1l0UAan9n2n/Qc0v/vzrX/ynrS1WxtWuYi2sabGRpujrteLVySE0ixRZB5elSLslVRLGCwcI6iVI5A8a8zWprH/AB9w/wDYL0P/ANMun0AH9n2n/Qc0v/vzrX/yno/s+0/6Dml/9+da/wDlPWXRQBqf2faf9BzS/wDvzrX/AMp60tYsbV9X1V21jTYmbUr5miki1cvGWuZSY3MWlSRl0J2sY5JEJB2Oy4Y8zWprn/Ia1j/sKah/6VzUAH9n2n/Qc0v/AL861/8AKej+z7T/AKDml/8AfnWv/lPWXRQB02j2Nqmr6U66xpsrLqViyxRxauHkK3MREaGXSo4w7kbVMkkaAkb3VcsDR7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWGbof/Ia0f8A7Cmn/wDpXDRof/Ia0f8A7Cmn/wDpXDQB9GUUUUAfPOpeHdX/AOE5v9f/AOE88V/2T9tuv+KI+x+B/wDhF/8Aj1ksv+Pv/hDP+E0/4+f+Jv8A8jf/AMhH91/yCf8AiWVS/wCEd1f/AISj+3/+E88V/wBk/wDQkfY/A/8Awi//ACDvsX/H3/whn/Caf8fP/E3/AORv/wCQj+6/5BP/ABLK98l0LSppJJpLXdJK7ySN59yNzuxZmwswUZYk4UADoABxTP8AhHtH/wCfP/yYuv8A4/WH1el2qfxvrH8fE/xe/wDvPwf9OP8Ad/8AqHPR/tXG/wA2G/3D+zP+RblH+5/y/wDIp/3j/qY/8jX/AKmp+RH/AAUE+HC+MviP8Lru9+Cnjr4q+O5PhxoOkfseeN/B3we8afEK3/Z//aVh+K/hLVdb+IerfEnw3pWq6B+zq114Xi8J3zfFLxtfeB9Eu/CPgvx14SHirVG1qXwbr1T9vrwpYfFP4l+BNaX4G/FL4m+NY/Ddz4O/ZA8Z6V+z78U9bl+AP7UPhf48aJa+K/iTf+OD4XFh+z9pepaLpHhvVdE+OPi2TwZ4H8Z/Dfwf4qtvDHjvxX4f8X2Gg+Kv2ZijSGOOGNdscSJHGuSdqIoVVyxLHCgDLEk9SSeafWmHgsP9Ws+b6tnMc5hoofvoybcIct/ZVKkZctbF07Yiq4Upzu6aivMxMVifrl/d+uZRHKJ2Sly0kvjtL+JG6i4Yab9hBSxKjf61UcfyD+KP7NmhyWP/AAUtt/Fv7P1x+1FpXxI1L4X/ABD+H/gL9ofwfqn7QvgHxl8UR4Cex8PxeFfCXxL0zxl4Xg8G/DvxVJo6w+GfBujWnhjwPa2F7erY6bqNzrGqXXy+v7Cfgj4R/trfAbw94V+H3j69tPhLZ/CH4c/ADw/Z/sr+H9Z/Z8tP2XrX4XyeEfj3F4w/ab8N/AvUJPg5r9zq958UvEUvwIs/jx8EPBnxX8SeJdOuPFHwq+M+meKLXRrT+hyipw9Gnh3gLRjOGB+rQ9nKEVDE0MLgM8wFOhiI2nTqwlRz3FUqkq9LFVJYOWJwPP7LHVa1CsRzYiGMg5yg8XLFVI1It+0w1bFYrJ8VUq0J3jUj72S4WSpwqUKbxFPD4uUfa4WMK/wX+wB+zX8KPgD8O/iN4g+Gf7O/w+/Znm+NXxe8deNNW+G3w8+E/hP4OaVpHhzw3rV78O/hXbSeEPCvhbwlHaTXXw18KeHfFOonU9NbUJ/E3ivxLqLTCPUUhi+9KKK3cpSjSU5Sm6WHwuHUpSlJuOFwuGwyl70pte0lRr13BScKc8XVp0/3dOkTGEYyqyjGMfbYjE4majGMVz4nE1q8tIRjH3IzoUU+VOUMLSlJc8p2KKKKkoKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPG/iH/wAhq1/7BcH/AKV3tcHXefEP/kNWv/YLg/8ASu9rg6AP5Rb7/g10+xXt5Z/8NyeZ9kuri28z/hmbZ5nkSvFv2f8ADQL7N+zdt3NtzjccZNX/AIhff+r4f/NaP/ygK/jzor92+ocTf9FT/wCYbBf/ACR+J/WuG/8Aomf/ADL43/5E/sM/4hff+r4f/NaP/wAoCrVn/wAGun2uV4v+G5PL2Wt9c7v+GZt+fsVlcXmzH/DQK48zyPL3ZOzfv2vt2n+Omij6hxN/0VP/AJhsF/8AJB9a4b/6Jn/zL43/AORP7DP+IX3/AKvh/wDNaP8A8oCj/iF9/wCr4f8AzWj/APKAr+POij6hxN/0VP8A5hsF/wDJB9a4b/6Jn/zL43/5E/sM/wCIX3/q+H/zWj/8oCrVv/wa6efFfS/8NybPsVqlzt/4Zm3eZvvbOz2Z/wCGgRsx9r8zdh8+Xs2jfuX8Xf8AghF/ylY/ZX/7rh/6zh8X6/0cNP8A+PTXP+wXD/6etHr5DiDPOJsixlPCf239a9phoYj2n9nYKjbnqVafJy+zqXt7O/NzK/Na2l39VkeR8N51hKmK/sb6t7PETocn1/G1b8tOnU5ub2lO1/aW5eV2te+tl/MB8BP+Dc7/AIUh8dPgv8af+Gxf+En/AOFQ/Fn4c/FD/hGv+Ge/7F/4SH/hAPGGj+K/7D/tn/heGrf2T/a39k/YP7T/ALK1P7B9o+1f2fe+V9mk/proor4rM83zHOKlKrmOI+sToQlTpS9lRpcsJzVSUbUadNO80neSbWydtD7DLcpy/KKdWnl+H+rwrzjUqx9rWq804QdOLvWqVGrQbVotJ7tX1CtSH/kC6h/2FNH/APSTXKy61If+QLqH/YU0f/0k1yvNPSMuuY1/xJ/Yeq+CNM+xfav+Ey8UXfhvz/tHkf2d9l8F+L/F/wBt8ryJvtnmf8Ir/Z/2fzLXb9v+1+e32X7NcdPXMa/4k/sPVfBGmfYvtX/CZeKLvw35/wBo8j+zvsvgvxf4v+2+V5E32zzP+EV/s/7P5lrt+3/a/Pb7L9muMMRLkpOXtfY/vKC9pye0tz4nDQ5OXX+Lz+w5vse39p/y7uvRyqj9YxsaX1P6/fDZlP6r9Y+rc3sMozbE+39tdW+pfV/7R9nf/aP7P+q2f1qz6etSb/kC6f8A9hTWP/STQ6y61Jv+QLp//YU1j/0k0OtzzjLooooAK1NQ/wCPTQ/+wXN/6etYrLrU1D/j00P/ALBc3/p61igDLooooAK1NY/4+4f+wXof/pl0+sutTWP+PuH/ALBeh/8Apl0+gDLooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigDU0P/kNaP/2FNP8A/SuGjQ/+Q1o//YU0/wD9K4aND/5DWj/9hTT/AP0rho0P/kNaP/2FNP8A/SuGgD6MooooAKKKKACiiigAooooAKKKKACiiigDyn43fG74Yfs5fDDxP8ZfjL4n/wCEO+G3g1NLk8SeJP7F8Q+If7NTWda07w9prf2P4V0nXNevPtOsatp9niw0u6MP2j7RcCK1innj+efgf/wUc/Yq/aU+JGsfCD4H/Hzwx46+JGj2Gq6ifDsOj+MNETVrXRWK6lN4W1nxN4c0TQfGi2cYa9mXwhqutv8A2TFcawitpVvPex+C/wDBbbj/AIJiftOnAOLL4YcHOD/xej4dcHBBwfYg+hFfGnw/tPiv+1r+1b/wTv1jRf2Nfi9+zL4Y/Yp+Hviq6+KXj74jeE9O0DwNqsOt/DjRvDHh34d/AzxXouqXWmfFHwY+qWbnTNU054BFo2oyatJommwC6h1HkU6lanm8E5J4ap9VhKh7lXC0q/CPEGcyzSdSpGdKqsFjsvwFJYOEVXxMcZTp0IVK7oKdYpKhhcPWhb2lWhmNdKf7yNavgc1yLB4fAU6VK1aNTMKWZ4uMMS+ahh62EU6rjTVZL2L9jT/gtR+z58S/hn8OYv2rfi98I/hb+0B8RPHHinwxY+BvB2g/EBPDmn2Nn4xn8NeFbnxLqU03jvTfAUmrwrb3ct3478X6DZTW0v8Aa8KWukMsy/p3oH7VPwE8SxfH6XS/H0ar+y5qOsaZ8eU1bw54v8PT/D6fQtHvPEF/dXlt4g8P6Xcazo76Jp97qmma/wCGota0PW7O3km0XUdQXGf5u4v2YPjfb/8ABBrxh8KYP2ePirD8aNV/aF/4Sqb4bQ/CXxdH8T9Shj+NWjeV4jl8HJ4fXxXeRp4RsovL1h9OkVfDlpHtuBpkC7PZP+CjPwp+J/hv9sXQvhH8IbmPTdE/4K0fDPwH8D/iu1vIItV8H6l8E/FfhCbxj8Ql01SzajE/wU1PWPDN1aXCWUTW97rl098Z7dLab0K0J1alLDYdUIYvFV8Jk+DnJuOFeZ47g7hnPsvxOJgpVKscHSxM+I8Jm1SE5KWIwjqp4KpGeXuq/saGJxlWbqPAYernWZV4U17SvSynKeN8/wAnxtDDSj+7qV6mVPJsXlFNpP2EacFLH06yxy/Wb4l/8FR/2EPg/wCEPhP46+I/x6tPDXh744eFpPG/wxMvw++K+o654h8IJNHbw+JLrwlo/gTUPFnhrR9QmkKaNfeK9E0OHXDBenRmvlsL0297Xv2vNO1r44fsS+HfhN8T/gbrPwl/an0L4p+I4V1nR/i1qnxF8faV4R8Ew+JNFuPhFrPhfRLj4c+HZNHupHk8eWPxev8AQNQWzjl0nQrV/EltdWMX5Uf8FS/2evFnh74vfCnXfgj8If22/AtnpH7PGn/Bbwz8cP2ErI/F5YfC/hjxRDfN8FfjB+zXpv8AwrnUbrwadGYTaZ4im+NWk+HNWe6tbDUfCPi0aBLY6dJ8Efgx+1hefEH/AII26t8W/g3qPgnWvA3hf9s9PiBefDz4PaR4E8I/CXSfHfgrVV+Gb+OfDnw28P6d8NvhV4l12zvrB28Omx8PbvEMlxpt3pqeJE1a2XOlOFX21ejSrVI0M4xtHD4eq4UXisJTwHG8sHQq89oSxNeWU5HVqc/1eFCvj4zU6+EjltTG4VVVpUowqulCpV4elia1SmpVvYZi6eSVqk6Psuaf1fDzxWPw0JUfb1azwrjClSxlatQofqhP/wAFPf2C7b46t+zbN+0n4Lj+Ly+JR4NfRTp3i0+Go/Fnl7j4dl+Ja+HT8MItYS6zo0thJ4xW4i8TA+FZUTxIp0ofIPxH/wCCwngfQP2h/wBsX9nXw1/wisPin4BfBH4g678Jp9b0T4iasfid8bvhj8P/ABp8QPHvhnW47HSdB03w74X8G2nhZ7C5FxrVovihrS7u/DnjB3v7Gwg/N22+E/7RunfsF+Iv+CSMn7CPxqu/jzqnxbukg/aMh8E6c/7K+oWl18TrP4kW/wAadR+OkEllDBrFp4KhXw3BZyadc6wlpp+neHLq5j1xpPAFp9K/GfwN8cPhT+1F+3x4Tm+A/wC0P8YNJ/ai/wCCf2ifDPwB8Y/h38M9Y8Z+DJ/HHw/+Ani3RL638d69pv7nRdc8U67pVzp2maPaLqev3uu6roNvFo7W2vWV7XHiudUJTpVpVovA51DC4jDxlRhmmK/1Nwub4XEYWjVhPE4F4DN6mLyyFHGxisRjKMYyc8XQxGDj34eNP66qVSnGMY5nlKrU60o1XgsFT47w2T15YmrRnHDYujmmRuOZ1Pqs+bD4CWIcJQw2Iw2Np/cX7Hn/AAVl/Zi+P2ifs/8Aw88d/Gj4b6V+1X8WvBfh/VNa+GvhPSPGsHhWy8Z6vp02oS+EtP8AFOoQa/4T0zXMQm0tvCWr+P7rxR/abwaK1vLrFzbWUvvnjT/gpJ+w78PPjpa/s2eMf2iPB+i/GO51bTtAk8NPYeKbzStL17VJGhs9D8Q+OtO8P3nw/wDDGsGYLBdaX4i8U6XfWE81rDfwW0t3apN+SniH9nn4r2/7HH/BEnwvo/wN+IcPiX4VftRfs+eKfip4d034Z+JI9c+G+mR3ep6n408R/EDSLXRFv/B9jHqcw1DxRq/iO3063S/lF3qtwLh/MPxZ43/Yp+OFj8S/2mv2e/iB8J/+Cm3xJ1P42/tQ67458MR/AL4o6H8M/wBhD4i+DPHfifTPENj47+L3jDXPhl8UPDnhXxl4fjs49R1JNU8P6/LFc6FoGjzLoV7p9ncyevXjCWaxw8KcI0nm2bYKUaM4UqeLhg6/B8cPDA1Krq08G5YPiHMMS6uJrVsNUWTYmt9YVGnmlHA+VQco5fTrVKs3OeV5bjOerB1KmDeJq8T0cTPGQj7J4lxq5NgYxpUaVCrTeZ0KU6L9pl+IxX9Jvjf/AIKG/sefDn46L+zR4w+MUWl/HR/FfgPwTD8OoPAvxM1jV7rxH8TNOt9W8G2lldaJ4M1HSL201GxvLKW+1m01KbRPD0l9Y2viTUdIu7y1glwfCv8AwU3/AGE/G/x2i/Zr8KftE+FtZ+MVz4jvvCFl4ettD8bJoepeJtOWcz6JpPxCuPDEPw41a/mlt5bLTodN8W3X9raoE0nSjeanNDaP80/s4fBv4h+B/wDgo3/wUV+I7fDnxXcWuofBv9mfwr8JfiH420XWbbw/8QL3QPhPp9p4g0rS/Ht5pmnaR4iLeItB0SDxnPo8xa11C2ia/gs54khT8WPBXwp/a18f+Nf2I9Q+I/7Pv7c3h7Wfgd+2X8PL34r+A9I+AvgT4QfsUfDDw5N8UfE3iLS/EHwP+Enwp8N2Nx4qubYLrF/8RvjvcaZdafaabdi213xDejxP4Vv77mwUYV8Xk2GqT5qeNw+HxGNrxg8NGnTx+dZvlGGdGnXlOVOWEp5dhMfjaVeop06ea4eOI9jh1QrYrXFSnSweZYmFPkq4Wmo4bDt/WObE4fhjK8/xVOrOmqblHEYvH4jKsHKnSlepl+J5Pa4uFTDU/wCg7x3/AMFcf+Cd3wy8X+IfAXjn9pHSdA8YeE/HniP4aeJdBm8A/Fm7vNE8X+E7y20/XbTUDp3gK8gt9Jtb25W2t/FTTf8ACJ6nLb6iula3e/2VqZtPUNG/aQ1DxB+2pZfAbQ/HvwQ1r4cat+y1Z/HXRtD0jT/ifqPxg1W41HxxZ6Dp/jTT/Gdrpc3wIv8A4S3+j3ccVna2fiObx5daxPb6hBYSeHGN3X8+ngr4oeLPD5/4LMfBjwt+xb8ZP2idV/aH/aj+P3w38M+OfhP4M0/xv4f0zxXqz+I9H07RPjJJFqNvrngTwt4Qn12w8YeGvFBsL7TLu+1XxBHDc6Ld6PcagfvP9iv9mP40fAf9uf4A6d468H+KLjRPh5/wSg8GfCTxN8RbXQdZu/h1B8TdP+LOk6pqXgKz8crby+HL3W9KtBP9m06HU/t13pFkuqwWMVg6iOMr/wBqpZZiK/urE5RhsfKqmoYavicx4KzDOK2Dhh6tqsZZXjqGClTxM6kqNf8AtDD0aMquMhThU1zFfVpZrRo6yw2IxGGp037+Ip08HxFwvhKOM9vSvS5cfhszzPDSw0YfWKTy3E1qkYYaeInR/Vy58a+Dfijq/iKX4Z+LfDHxFj8BeItX+GvjmTwLr2leLk8GfEbwtcs3ibwB4sfw/d6gvh3xt4dXULBtd8K6wbPXdIF9ZnULC3FzDvb/AGHrX/QH1T/wX3f/AMZrqPiH/wAhq1/7BcH/AKV3tcHQI/yL6KKK/pg/ncKKKKACiiigD9ef+CDkE9z/AMFXP2VYbeGW4mf/AIXjsihjeWV9v7N/xgdtscYZ22orM2AcKpY8Amv9H2x0fV0ttYV9K1JWl02KOJWsbpTI41fSpSkYMQLuI45JCq5ISN3xtViP833/AIIRf8pWP2V/+64f+s4fF+v9HDT/APj01z/sFw/+nrR6/IOP/wDkcYb/ALFtH/1JxR+q8Df8inEf9jCr/wCo+GD+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmsuivhj7M1P7D1r/oD6p/4L7v/AOM1pRaPq40i+iOlakJH1LSpEjNjdB2SO21hZHVPK3MkbSxK7AEKZIwxBdc8zWpD/wAgXUP+wpo//pJrlAB/Yetf9AfVP/Bfd/8AxmuV8Q3mr6Bq/gXSn8PalcN428VXnhiKVorq3Nk9p4I8ZeMzdRwmzlN87x+EZLI2qyWxRLt77zmWza3uNauY1/xJ/Yeq+CNM+xfav+Ey8UXfhvz/ALR5H9nfZfBfi/xf9t8ryJvtnmf8Ir/Z/wBn8y12/b/tfnt9l+zXGGIlyUnL2vsf3lBe05PaW58ThocnLr/F5/Yc32Pb+0/5d3Xo5VR+sY2NL6n9fvhsyn9V+sfVub2GUZtifb+2urfUvq/9o+zv/tH9n/VbP61Z93/Yetf9AfVP/Bfd/wDxmtKXR9XOkWMQ0rUjImparI8YsbouqSW2jrG7J5W5UkaKVUYgBjHIFJKNjma1Jv8AkC6f/wBhTWP/AEk0Otzzg/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//Gay6KANT+w9a/6A+qf+C+7/APjNaV9o+rvbaOqaVqTNFpsscqrY3TGNzq+qyhJAIiUcxyRyBWwSkiPjayk8zWpqH/Hpof8A2C5v/T1rFAB/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNZdFAGp/Yetf9AfVP8AwX3f/wAZrS1XR9XkuYmj0rUpFGm6PGWSxumAeLSLGKVCViIDxyI8ci9UdWRgGUgczWprH/H3D/2C9D/9Mun0AH9h61/0B9U/8F93/wDGaP7D1r/oD6p/4L7v/wCM1l0UAan9h61/0B9U/wDBfd//ABmtLWNH1eXV9Vli0rUpI5NSvpI5I7G6dJEe5lZHR1iKsjKQyspIYEEEg1zNamuf8hrWP+wpqH/pXNQAf2HrX/QH1T/wX3f/AMZo/sPWv+gPqn/gvu//AIzWXRQB02j6Pq8Wr6VLLpWpRxx6lYySSSWN0iRolzEzu7tEFVFUFmZiAoBJIAo0fR9Xi1fSpZdK1KOOPUrGSSSSxukSNEuYmd3dogqoqgszMQFAJJAFZuh/8hrR/wDsKaf/AOlcNGh/8hrR/wDsKaf/AOlcNAH0ZRRRQB+QXwr/AOCsvgiHw78Udc/aY+H3jv4QeE/h14j/AG210748Hw34eh+BXj/w9+xz8YvG/hHxdoPhAWvxO8YfFWLx34b8AaDp2s+Ibjxr4A8FeDfF+t6X41k+HGsapa6Lc6Xp3KfDL/gsl4F/aP8AFv7Oejfs2/CfxL480/x/+05q/wACPjjFpPxL/ZI+LNx8KtFh/Z48d/GjQ/E1p4w/Z/8A2s/iZ8LNffU10C21u5s/BPjb4k+KdN8L+CviP4b1LwHYfEW+8BaJrr9K/Yw/YAiuPiLpvjD9sjXviZ8M/Hg/aeudL+DPjH9oT4Kaf4B+GOv/ALYHjDVvGXxx8WfDfVfh94V8DfFOy8Razea5quneGp/FXxI8W2HgTTdQ1GXwdp2i6zq2r6xf99a/BD9my7sPh8/xB/4KU/FD4weMfh78Z4vjBa/ET4lfHj9l6817WrN/hB4k+BmrfCW78K+FvhN4U+Enhj4ZeJfh74u8RW3iOX4Z/DXwF8TtV8Rapc+NJPiUni+Rtbb06HD3FMaFCdbhvPKmJo4LAuVF5FnlOjiMZSyyVKvDF1KeRyinXzaLqYyWEjDCyy2eGxOBlHNlmGGl5NfiLhmWIxMaHEmRU8LVxmaKlUee8P1K9HB1ZVJ4KVGnPPYQ5qNCdOOGjXnKrDMY1qWOUsmWDxFP2f8AY3/4KO/A/wDbZ+IPxz+F3w40Lxj4S8cfs/jwnc+NfDvjbxB8D9X1lNN8aax470HR5NS0P4PfGT4sa/8ADLxRZan8O9ftfFvwh+O2lfCb45+AJ5tIt/Hfwv8ADd1qcMA/QCvzx/Yr/YE+Gf7KGrW/xC8BfHv42fG221L9nX4K/s7eC5PiRqHwLl8H+HvgV8FL7xlrnwg0fwNp/wAEPgr8I9EW20qx+IetWia/Kmq3nibTJLC/1u91fV0fWbj9Dq5cTChTdGnS9vz06CpYv6xTlRqvF0cRj6FScqMv4E61Cjga9bDRbhhMXVx2DpynDCxqVPRpzlUdapem6NSqquFdKpGtD6tVoYerGMK0Yx9tShWqV4YavKMamIwaweJrRjWr1IQKKKK5jUKKKKACiiigDyn43fBH4YftG/DDxP8ABr4y+GP+Ex+G3jJNLj8SeG/7a8Q+Hv7STRta07xDpq/2x4V1bQ9es/s2saTp95mw1S1M32f7PcGW1lngk9G0jSrDQtJ0zQ9Kg+y6Xo2nWWlaba+bNP8AZrDTraKzs4PPuZJribybeGOPzZ5pZpNu+WR3LMdCiiPuqoo+6q1SnVqqOiq1aNKVClUqJaTnSoTnRpzleUKU5U4tRk0x+9yc3veyjUjTvr7ONadOrWjC/wAMatSjRqVFGynOlTlK8oRaK+ZdE/Y4/Zr8PftIeJP2utL+F9hH+0R4s0k6JrXxHu9f8Xapctp7aTpOguNL8O6p4gvfCHh+9k0TRLDSJdV8P+H9L1SXTTf2cl61vq+rR3301RRH3Kka0PdqwhWpwqx0qQp4mmqOIhCatKMK9JKlWjFpVKfuTvFtMl71OdKXvUqjpSqU5a05yoVY1qMpwd4ydGtGNWk2m6dSMZxtJJoooooAKKKKACiiigAooooA8Z+E/wCz58IPgdq3xU1z4W+Ef+EX1X42fELVvir8Trr+3/E+t/8ACTePddYvquveR4i1rV7bRvtTMT/Zfh+HStGgzi206EYFezUUULSFKmtIUaNLD0YLSNKhh6apUKNOO0KVGlGNOlTilCnBKEUopIHrKpN6zq1J1qsnrKpVqtSqVZy3lUqSjGU5yblJxTk20jxv4h/8hq1/7BcH/pXe1wdd58Q/+Q1a/wDYLg/9K72uDoA/zqJ/+CDn/BVy2nmt5v2Vdk1vLJDKn/C8f2b22SxOY5F3J8YGRtrqRuVmU4ypIwai/wCHEX/BVj/o1j/zOH7OP/z36zJ/+C9v/BWS5nmuJv2rd81xLJNK/wDwov8AZsXfLK5kkbanwdVF3OxO1VVRnCgDAqL/AIfz/wDBV/8A6Or/APMG/s2//Oer9v5+L+3Dv/mR/wAz8c5OFe+f/wDlh/kbH/DiL/gqx/0ax/5nD9nH/wCe/UsP/BBz/gq5cOY4v2Vd7rFPMR/wvH9m9cRW0ElxM2W+MCj5IYpH2g7m27UDOVU4X/D+f/gq/wD9HV/+YN/Zt/8AnPVLD/wXt/4KyW7mSL9q3Y7RTwk/8KL/AGbGzFcwSW8y4b4OsPnhlkTcBuXduQq4Vgc/F/bh3/zI/wCYcnCvfP8A/wAsP8jT/wCHEX/BVj/o1j/zOH7OP/z36P8AhxF/wVY/6NY/8zh+zj/89+sf/h/P/wAFX/8Ao6v/AMwb+zb/APOer9Hf+CSX/BW3/goP+05/wUH/AGf/AIHfHH9oD/hN/hd43/4Wt/wlHhf/AIVT8EvDX9p/8I18EviT4v0X/ideEPhtoHiKy+xeItA0nUP+Jfq1p9p+yfZLvz7Ge5tpsMTi+LcLhsRiqkeH5U8PRq15qCzBzcKUJTkopyinJqLUU5JN2u0tTbD4XhfE4ihhqbz1TxFanRg5vAqKlVmoRcmotqKbV2k3bZPY0v8Agkz/AMEmf+CgX7M3/BQL4A/G743fAH/hCfhh4J/4Wp/wk/if/hanwU8Sf2Z/wknwU+I/hHRf+JL4R+I+veIb37b4h17SdP8A+JfpN39n+1/a7vyLGC5uYf7WdP8A+PTXP+wXD/6etHrLrU0//j01z/sFw/8Ap60evyzOM4xOdYmGKxUKFOpToRoJUIzjBwjOpUTaqVKj5r1JJtSSslpe7f6VlWVYfJ8PPDYadadOdaVduvKEpqcoQg0nCFNctqaaTTd29dksuiiivKPTCtSH/kC6h/2FNH/9JNcrLrUh/wCQLqH/AGFNH/8ASTXKAMuuY1/xJ/Yeq+CNM+xfav8AhMvFF34b8/7R5H9nfZfBfi/xf9t8ryJvtnmf8Ir/AGf9n8y12/b/ALX57fZfs1x09cxr/iT+w9V8EaZ9i+1f8Jl4ou/Dfn/aPI/s77L4L8X+L/tvleRN9s8z/hFf7P8As/mWu37f9r89vsv2a4wxEuSk5e19j+8oL2nJ7S3PicNDk5df4vP7Dm+x7f2n/Lu69HKqP1jGxpfU/r98NmU/qv1j6tzewyjNsT7f211b6l9X/tH2d/8AaP7P+q2f1qz6etSb/kC6f/2FNY/9JNDrLrUm/wCQLp//AGFNY/8ASTQ63POMuiiigArU1D/j00P/ALBc3/p61isutTUP+PTQ/wDsFzf+nrWKAMuiiigArU1j/j7h/wCwXof/AKZdPrLrU1j/AI+4f+wXof8A6ZdPoAy6KKKACtTXP+Q1rH/YU1D/ANK5qy61Nc/5DWsf9hTUP/SuagDLooooA1ND/wCQ1o//AGFNP/8ASuGjQ/8AkNaP/wBhTT//AErho0P/AJDWj/8AYU0//wBK4aND/wCQ1o//AGFNP/8ASuGgD6MooooA/iz/ALUh/wAg/wCNH9qQ/wCQf8a8i/twf89B+Y/wo/twf89B+Y/wr/XH+0F3f4f5n+RX9mPt/X3H9oH7NriT9nX4BuOj/BX4WOPo3gbQiP517TXhX7Lsnm/szfs6y5z5nwK+EcmfXf4A8Ptn9a91r/KXiF34gz998+z1/fnecv8AU/1e4eXLw/w/H+XIMij92SZKv0CiiivIPXCiiigAooooAKKKKACiiigAooooAKKKKACvza/aQ/4KffBz9m34veLfgxqXwg/aW+LHiT4d/DSD4sfEzWvgv8M9G8U+D/hr4PubPVNSivfG/iDXvGvhNNGjOm6YLw6gbafQs6hYaeNYOrm806z/AElr+Ub9p39l34FJ+2z/AMFYfFy+BseIfAv7DPiL42eFdQ/4Sbxif7L+J3xO8CeJdN8c+Jvsh8QGxvv7cstX1GH+xtRtrzw/pv2jzNI0nT5YoJIuHF4ipQqU3FxVKOBz3G1fdU5zeVZP/aFKkk3HljKUuec4y55ezjQShGpOtHswtGnWi1JSdSpjsjwVLVxjH+1c5o5dUqSaTvKEHKME4yhF1ZVpKbpU6U/6c/g/8TtA+Nfwo+Gvxh8K2mr6f4Z+KXgXwr8QfD9j4gt7K112z0bxfollr2m22s22nahqun2+pwWd/DHfQ2Wp6haRXKyJb3tzEFmf0av41P2hvEXwk+Knw6/Yy+Bnja2+H0+u/Dj/AIJk/Br4jaLe/tY/tL+Kvgl+yx4b1LVdE0OSbVvCfw7+Ful6N8Vfi78dtd0HTbvw7okGm/Emx0GO2WGG58Ia0+j3jNzPxAu9Y+K3/BM7/gmHbePvjL8J/El7p5/aNudN+Cn7TfjL4veBPhF8a4/BGu+I/DHgbRtR+NHgfVPAXhbwl4x+Fvh+KLQPBmn/ABK+NHwv0gRatDpsHiRtOS/0jWPVx0adLEZsqEJRoYPP5ZbhoynKr7TBTzzibJoV+eMVWq16NfhuvGdKnR/e8/PFShQxdeXnYRznSy7204yqYnLa+KxDjFU3SxVDKsNm6ockm6UKVXD47CQVedblpzleXKqkKdL+rj9qD9qv4efsmeHvhr4l+I2jeM9asPil8Y/BPwQ8PxeCtO0PUbuz8V+PE1V9H1DWY9d8ReG4bfw9bDR7kald2U+oalCZIPsuk3gaQxfTNfxe3niDQ/iN/wAEzP2efhZomnfEXwBp/gD/AIKs/Dj4VTT2vxt0P4taRoF9qXhzxDqWryfAD4s+EdLtLCHwLo+q+IL++8DJaar46uNCnmi1BfiL43a7TWJf1U/Za+DPgP8AZO/4LG/Fr4D/AAHtvEPg/wCEnjn9ibS/i74r8GX3jXxl4zstb+JEXxZ07R08X6hf+ONe8R61dayllfaqkd3calK8P9s6ssBihvpoi6FDnq4ihOd3LHZlDBV4pNToYHgrh7iyNKrTi1HlqU8yxsYY2MnOpNYWP1Olh5udNVazjhaWKjCzp4SlPHYeTacKlXjTG8LKpSnJNupDlwM5YSUeSMHiJyxc68IwqfsV8Q/+Q1a/9guD/wBK72uDrWufCWlfDrV/EUfh+78T6gvjPxFq/j/WD468a+Mvii9nrviK5ZdQsPCcvxM17xdJ4C8E24sYf7C+GvgZ/Dvw58LF7xvDPhXSG1C/Ny3+2Lv/AJ46X/4I9F/+V9c5sf4/dFFFf0gfz+FFFFABX6+f8EGP+Ur/AOyp/wB1y/8AWbfjDX5B1+wP/BBKZ7f/AIKyfspTRiJnT/hemBNBBcxHd+zZ8YlO6G4jlhfhiV3xttbDrh1Vh5uc/wDIozT/ALF2N/8AUeoehlP/ACNct/7D8J/6fgf6N9amn/8AHprn/YLh/wDT1o9H9sXf/PHS/wDwR6L/APK+tKx1W6a21hjFpoMemxOu3R9IQEnV9KjxIqWKrKm2RiI5Q6BwkoUSRxuv4CfuBzNFan9sXf8Azx0v/wAEei//ACvo/ti7/wCeOl/+CPRf/lfQBl1qQ/8AIF1D/sKaP/6Sa5R/bF3/AM8dL/8ABHov/wAr60otVujpF9J5Wm7l1LSkAGj6QEIkttYZi0QsRG7gxrskdGeMGRY2VZZQ4BzNcxr/AIk/sPVfBGmfYvtX/CZeKLvw35/2jyP7O+y+C/F/i/7b5XkTfbPM/wCEV/s/7P5lrt+3/a/Pb7L9muO7/ti7/wCeOl/+CPRf/lfXMa/47u9D1XwRpn9m6Xdf8Jl4ou/Dfn/2ZosH9nfZfBfi/wAX/bfK/sib7Z5n/CK/2f8AZ/Mtdv2/7X57fZfs1xhiJclJy9r7H95QXtOT2lufE4aHJy6/xef2HN9j2/tP+Xd16OVUfrGNjS+p/X74bMp/VfrH1bm9hlGbYn2/trq31L6v/aPs7/7R/Z/1Wz+tWenWpN/yBdP/AOwprH/pJodH9sXf/PHS/wDwR6L/APK+tKXVboaRYyeVpu5tS1VCDo+kFAI7bR2UrEbExo5Mjb5ERXkAjWRmWKIJuecczRWp/bF3/wA8dL/8Eei//K+j+2Lv/njpf/gj0X/5X0AZdamof8emh/8AYLm/9PWsUf2xd/8APHS//BHov/yvrSvtVulttHYRaaTJpsrtu0fSHAI1fVY8Rq9iyxJtjUmOIIhcvKVMkkjsAczRWp/bF3/zx0v/AMEei/8Ayvo/ti7/AOeOl/8Agj0X/wCV9AGXWprH/H3D/wBgvQ//AEy6fR/bF3/zx0v/AMEei/8AyvrS1XVbqO5iVYtNIOm6O/z6PpEhzJpFjIwDSWLMEDMRHGCEiQLFEqRoiKAczRWp/bF3/wA8dL/8Eei//K+j+2Lv/njpf/gj0X/5X0AZdamuf8hrWP8AsKah/wClc1H9sXf/ADx0v/wR6L/8r60tY1W6j1fVY1i00rHqV8imTR9IlchbmVQXllsXkkcgfNJI7O5yzszEkgHM0Vqf2xd/88dL/wDBHov/AMr6P7Yu/wDnjpf/AII9F/8AlfQAaH/yGtH/AOwpp/8A6Vw0aH/yGtH/AOwpp/8A6Vw1paPqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAINH1W6k1fSo2i00LJqVijGPR9IicBrmJSUlisUkjcA/LJG6uhwyMrAEAHvVFFFAH8E3jey0Xwpqtvp2g/Ejwd8TLObT4r2TXvBFl8QrDSrS5kubuB9IuIfiR4G+H2uNqEEVtDeSy2ujXOlNbX9okGpzXiX1rZZ/hX+zvEOvWGj6v4x8PeBdPvPtX2jxV4qtvFt5oOlfZ7K4uovt9v4I8M+MfFEn26eCLTrX+zPDeo7L28t5L37Hp63d/a+Cf2z7/5/76o/tn3/AM/99V/prHG1Vh/ZPF1JVvZuH1t0sMqnO1K1b2EYLCc0bpqnyexfIlKLUpX/AMypYKk8R7VYWMaPtFP6oqmJdPkTjej7eU3i+WVmnU5/bLnbjJOMbf3E6Z461n4O/sC/DLxR4DvPDHi3xNpHwE+CXhvwFrV3p3iu68C6t4o8U6D4K8EeDfEuqaWbPwz41l8DDW9c0vXtYtJ7Twv4i/4RqO7juv8AhHb8Sy2PL6L+0Z8b9H/Zt+OuseNk+FviL9oL4KfE/WPgZH4l8JeDvG3hn4O+L/G+saj4Ms/hz44k+HF7458d+OvCnhJLf4meEbrxz4SPxQ8T39k2keJl03xz9hlstTtfSP2e/A/hT4qfsI/AT4feOtKGueDvHX7Knwk8O+JNK+26jpkl7pGs/Cnw5a3kdtquj3mn6zpF6sUxlsNY0bUNP1jSb1INR0q/stQtre5i6LQf2QPgJ4c+F178GrDw74wu/h7rHh74jeHPEmmeIfjF8Z/FuseMl+LGqWOteOPE/j3xl4q+IOs+NfH3xKv9S0+3udI+LXjPxDrvxR8Ih7yDwf4v0G31LUYbr/NfOY1P7a4n9pKVWNbMsbGhaoqNR1aee4qriJRqQp2wU69GjmNGVakqqlLN8PUUKcMnpxn/AKS5PyvJ+GfZKNFUsqwrrpwdaFquQYWng+anOV8XTw9erl9X2NWVN8uVYiMp1JZxV9n8Q+IP2r/2wfBOg+FtS8TXn7PmpRfC/wDali/Z2/aK8ReHPgV8ebrQviFaat4j+H+o6f448Lix+K2v6B+xn4A8MfB/xdrnjH4h/FT49eP/AI2eDNE8W+GbPwNYR6hd+LvDt5c/rvXxZF/wT3/ZTh0vwHpC+C/Hj23gDVNb1eO5uP2gP2iLrWPiRc+JfEqeMPEFr+0R4gufirNr37U2i6z4ljGraj4c/aV1L4seH7u4aVJtMaCaaKT7Trki0sOoVGp4hV3KdaFNU4VYfUcBTqVFG/7mNbH0cViaODjHkwVGrKjz1JVFOfWoz9qpK8aPsJxVOVWVWUJvMcdWoU3JxSqyw+XVcNhauLup42rBVZ04exiolFFFSahRRRQAUUUUAFFFFABRRRQAUUUUAFecap8HPhFrmr+Mtf1r4V/DjV9e+IvhhPBHxB1vVPA/hjUNX8d+DIoWt4vCPjLUrvS5rzxP4Yjgd4E0DW5r7Skhdo1tAjFT6PRScYy+KMZe7OPvRjL3asPZ1Y6p+7Up/u6kfhqU/cqRqQ9wak1s2rShNWbVp05qpTmrNWlTqJVKclaVOolUpyhNKa8a1L9nL9nrWbn4d3msfAj4NarefCC10ux+E11qXwv8EX1z8L7LQ5bO40Wz+Hc91ocsvgm10efTtPm0u38NPpkOny2NnJaJC9rAyQXv7NP7OWpfDyy+EWo/AD4J3/wo03V5fEGnfDC9+FXgS6+Hmn69PPe3U2t2XgufQZPDdrq81zqWo3EupQabHeyT397K8xkup2k9sopy95TUveVSbq1FL3lUqyrLEyq1FLmVSpLERjiJVJqdSWIisRKpKulXSXuuLj7rhFQg4+64QVOpRUIONnCCo1q1JRg4RVKrVpKKpVatOp5F/wAM/fAb/hDfCfw6/wCFJfCL/hX3gLXrXxV4F8C/8K28G/8ACG+C/FFjdX19ZeJPCfhj+xf7E8Oa9Z3uqaneWusaPY2eoW91qN9cQ3CS3dw8nVJ8OPh5H49m+KsfgPwZH8ULjw2vg24+JCeF9DXx7P4QS+TU08KzeMFsR4hl8NrqUceoLob6i2lrfRpdi1E6rIOzop80uZz5pc8p1Kkpc0uaVSrRhh6tRyvzOdXD06eHqzcnOph6dOhUnUoQhRguVcvJZcijGChZcihGs8TGChblUI4lvERhy8scQ3iIxjXbrvxv4h/8hq1/7BcH/pXe1wdd58Q/+Q1a/wDYLg/9K72uDpDP8g+iv7Ar7/g66+23t5ef8MFeX9ruri58v/hqTf5fnyvLs3/8M6Jv2b9u7au7GdozgVf+IrH/AKsN/wDNov8A8nav2z+0+If+ia/8y+D/APkD8f8A7OyL/oof/MViv/kz+Qeiv6+P+IrH/qw3/wA2i/8AydqtWf8AwddfZJXl/wCGCvM32t9bbf8AhqTZj7bZXFnvz/wzo2fL8/zNuBv2bNybtwP7T4h/6Jr/AMy+D/8AkA/s7Iv+ih/8xWK/+TP4/a/Xz/ggx/ylf/ZU/wC65f8ArNvxhr9fP+IrH/qw3/zaL/8AJ2r6+/YL/wCDgX/ht39rD4U/swf8Mlf8Kx/4Wd/wnP8AxXH/AAvn/hNP7E/4Qv4beMPiF/yLX/CmPCf9pf2l/wAIn/ZH/IwWH2P7f/aH+lfZfsVzxZnmOezy7HwrcPewpTwWJjVrf2phansqcqM1Op7OMFKfJFuXJF3lay1Z2ZdgMmhj8DOlnvtqscXh5U6X9m4mn7Wca0HCnzyk4w55JR5npG93oj+jqtTT/wDj01z/ALBcP/p60esutTT/APj01z/sFw/+nrR6/ID9UMuiiigArUh/5Auof9hTR/8A0k1ysutSH/kC6h/2FNH/APSTXKAMuuY1/wASf2HqvgjTPsX2r/hMvFF34b8/7R5H9nfZfBfi/wAX/bfK8ib7Z5n/AAiv9n/Z/Mtdv2/7X57fZfs1x09cxr/iT+w9V8EaZ9i+1f8ACZeKLvw35/2jyP7O+y+C/F/i/wC2+V5E32zzP+EV/s/7P5lrt+3/AGvz2+y/ZrjDES5KTl7X2P7ygvacntLc+Jw0OTl1/i8/sOb7Ht/af8u7r0cqo/WMbGl9T+v3w2ZT+q/WPq3N7DKM2xPt/bXVvqX1f+0fZ3/2j+z/AKrZ/WrPp61Jv+QLp/8A2FNY/wDSTQ6y61Jv+QLp/wD2FNY/9JNDrc84y6KKKACtTUP+PTQ/+wXN/wCnrWKy61NQ/wCPTQ/+wXN/6etYoAy6KKKACtTWP+PuH/sF6H/6ZdPrLrU1j/j7h/7Beh/+mXT6AMuiiigArU1z/kNax/2FNQ/9K5qy61Nc/wCQ1rH/AGFNQ/8ASuagDLooooA1ND/5DWj/APYU0/8A9K4aND/5DWj/APYU0/8A9K4aND/5DWj/APYU0/8A9K4aND/5DWj/APYU0/8A9K4aAPoyiiigD/M9/tv3b/vqj+2/dv8AvqsT4jeAfip8HdctfDPxc+HHxB+FniS+0qDXbLw/8RvB3iHwRrl5ol1d32n22s2uk+JtO0y/uNKuL/TNSsoNRht3tJbvTr62jmaa0uEjyvBPh7xz8S/E+meCfhz4R8WeP/Getfbf7G8I+CfD2reKvE+rf2bp93q2o/2ZoGhWl/qt/wDYNKsL7U737LaS/ZdPsru9n8u2t5pE/wBAlmtGVH6xHE0JYfkdT6xGtSlQ9nG7dT26rOh7NKMm6ntvZpRk3NKMrfwG8prRq/V5YarGvzqn7CVCqq/tHZKn7B0lW9o3KKVP2PO3KKUG5Rv/AKLX7Fj+b+xx+yZJ/wA9P2Z/gO//AH38LfCrf1r6Yr4w+B/i1/2fv+Cf/wAB/FHxE8LeMbbU/hl+yv8ABeHxF4BtdDaD4hz+KdK+GfhXSf8AhALLw3rtxohg8cal4l8nwrZaLrl5oqQ+IbqGy1a80uNLm4t+l8OftaeFda+Avj3446x8OPiv4I1D4X6j4p8M+Pfgj4n0zwTd/GXw/wDEHwzdQWcPw3S38GePPF3wy17xR4rm1Lw63g2/8L/E7XPBWvW3ivw7exeLobK7uLiz/grNq1Oea55OMlNUcxx1ep7NSqP2eJzbGwoShGnGpKt7WeJw0YRw6xE+bF4JOMfruDeJ/u7KoSp5XklOa9nKrluBpU1Uap3lhcpwU8Qpuo4RoqjDD4iVSVeVCEY4TGXn/sWMWF+qqK/PG8/4KG6ZY+HtB8RTfsm/tdNbWfirWvCXx5tofDPwQnl/ZS1DQvFvh3wrdy/GW/j+PTaB4zWeDxLY+MdO0z9l3Wf2i/Eeo+BEbxPaaHJaXujpqn6HVxqLlT9rFxlT5/ZqcJQnFydGGIg04yfNTq0Kka+HrJOhiaPPVwtbE06VWpT7OaPNGDdpypyqqDUoyUIYiphKnNGUU6c6WJo1KFajU5K9GooxrUKXtaTqlFFFIoKKKKACiiigAooooAKKKKACvLviP8cPgr8HZvDtt8Xfi/8AC74WXHi+4urTwnb/ABH+IHhPwPN4nu7F7GO9tfDsXibVtLk1q4s31PTUuodNW5kt31CxWZUN3AJPwT/4KWftyftT/DH4vfHTSv2d/wBpW50Ow/Z/8HeENTvvg98Bv2UZP2i9esH1nw3feJda8ZftVfFL4i+G9I+HnwJ8IW17BY6Ppc3gbxV4611dE1GLVdX8H2l7a3Tjwr4x/Db47ftw/t1fsHeLrz4z+CPhpr/xs/Yh0j43eEdN8Sfsy/DL42+GvgvqUHh7Rdd8U6JpXhX4nXFxZ+LLjWvF0174h0LxN4iaPxD4IaeGy0e4m+yJdPGFk8U8vq06cnhsTmscDXs4KvGg8t4gzVVsMpS9hVnicNw1mkMNzVJ0KVWhJYyo2o0SsUlhVi4VJxVall1TFUPidGWJjishwXsMQ4xdelHD1uI8tqYm1KFWpTnOnhUqi9of0Yt+1n+yuvjSX4bt+0x+z8vxEg8UReB5/ATfGX4cjxpD40n1NtFh8IS+Fj4kGuR+KJtYVtJi8PvYjVpNTVrBLQ3QMQ+ga/iA/Z/+B+ueFfAX7LPxl8Q+MfCXiu98Yf8ABYn4WeAglp8GPAfhHxnbaj4L8deMn8Sa5q3xR0VG8Y+KdH8X313ZX9h4G1i4fw94Jl09l0AN9tnYftL4X/bL/aS1H4A/8Fj/ABtefEfzvE/7Knxj+PvhX4Can/wh/gKP/hA9A8FaRf3Xhiw+xReF00/xR/Zk8MT/AGrxnaeIr2927dQuLtGZTKr0llkMdOXPVhlVbNsVGgpOh9XoYHgLFtYV1lTrynU/19y+VGOIjC+HpOpVlRxEqmFo26NSWP8AqkI8tOpjY4ChKs0qvtp5zxflEXWVJzpKEJ8G5i68qTlyV5wp0VXoKOKrfu1RX8uHxc/4KRftqeKLj9lf4PfCDxD8cLHxZq/7FPwa/aK+MXxC/Zu/Y+8CftWfFTxX45+IejaeLm01L4ZeIte8B+CPBnw+UXK6re+IPD0Mdza+ItQ03RbSzTTblra19Z8Sftof8FEfHWmf8EwfBNld3P7Jvxr/AGlfFXx++G/xs034pfAu2aK6k+H9v4atNB+IkXw/8badaeKNMmOh3174z0PQtK1zw1ouqeKLqLSdTvLzwlFGT1So1VXnhox9pWWb1MnpRUowWJrU8fnmVyxFCVZ0ovDLH8PZhRfN/tEKboYqdFYarJ0eaNWm4RqSlyU/7OqZlVk05/V6dPA4bM5Ua0aSqzVd4HFUaseVexlVnHCKr9ZnTUv6NqK/m8P/AAUO/a//AGXvhl/wU58IfGPx14S/aS+Kn7G3in4GaP8ADD4p3vw40n4d2eu/8L7nTTLI+LPBPgFNP0i30zwpELfXIraC5a9uNTn1DR77xHf2Mmm3Np+n/wCyh8NP+ChHw58b3B/aa/ad+F/7T3wm8S/DrStRj1GL4W6R8H/iT4B+KKXivc6F4f0nwL4fi8K+Lvh7d6RPMbzxJ4k1XTvE0+qQab/Z3hrRLODUV1aaUFWj7WnOLw0sNg69LFyU4UatTHZbVzWjhIqUfbQxH1OhUlJ1aMMOqzo4dV3VxFJxqrJ0ZOlUhJYmOIxlCeGThKtCGBxWX4Svibxl7GdH2uaYRwjTqyrypPEVfYqOFrRf1B8Q/wDkNWv/AGC4P/Su9rg61rm08Zafq/iIfEzXvDHi6S88Ravf+Bn8C+EtV+HSeHfhzcXLf8Iz4V8WR+IPGvxRbxn420hkvzrvj/R5fAWheIhc2a6f8NfCxsZm1BvnaL/0D9U/8HFp/wDKOoKP8fuiiiv6QP5/CiiigAr9fP8Aggx/ylf/AGVP+65f+s2/GGvyDr9gf+CCRgX/AIKyfspG4jllhH/C9N8cMyW8rf8AGNnxiC7ZpILlEw+1mzC+5QVG0sHXzc5/5FGaf9i7G/8AqPUPQyn/AJGuW/8AYfhP/T8D/RvrU0//AI9Nc/7BcP8A6etHo87Rf+gfqn/g4tP/AJR1pWMukG21jZY6kqjTYjKG1W1Yun9r6UAsbDR0EbiQxuXZZQUV4/LDSLLH+An7gczRWp52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdAGXWpD/AMgXUP8AsKaP/wCkmuUedov/AED9U/8ABxaf/KOtKKXSP7IviLHUhGNS0oOh1W1Ls5ttY8tlk/scKqKolDoYnMheNlkjEbLKAczXMa/4k/sPVfBGmfYvtX/CZeKLvw35/wBo8j+zvsvgvxf4v+2+V5E32zzP+EV/s/7P5lrt+3/a/Pb7L9muO787Rf8AoH6p/wCDi0/+Udcxr/inRdD1XwRpn9h6pdf8Jl4ou/Dfn/8ACQWkH9nfZfBfi/xf9t8r/hHJvtnmf8Ir/Z/2fzLXb9v+1+e32X7NcYYiXJScva+x/eUF7Tk9pbnxOGhycuv8Xn9hzfY9v7T/AJd3Xo5VR+sY2NL6n9fvhsyn9V+sfVub2GUZtifb+2urfUvq/wDaPs7/AO0f2f8AVbP61Z6dak3/ACBdP/7Cmsf+kmh0edov/QP1T/wcWn/yjrSll0j+yLEmx1IxnUtVCINVtQ6uLbR/MZpP7HKsjKYgiCJDGUkZpJBIqxbnnHM0Vqedov8A0D9U/wDBxaf/ACjo87Rf+gfqn/g4tP8A5R0AZdamof8AHpof/YLm/wDT1rFHnaL/ANA/VP8AwcWn/wAo60r6XSBbaPvsdSZTpspiC6raqUT+19VBWRjo7iRzIJHDqsQCMkfllo2lkAOZorU87Rf+gfqn/g4tP/lHR52i/wDQP1T/AMHFp/8AKOgDLrU1j/j7h/7Beh/+mXT6PO0X/oH6p/4OLT/5R1parLpAuYvMsdSZv7N0cgpqtrGAh0ixMSlW0eQl0jKJI+4CR1aRY4lYRIAczRWp52i/9A/VP/Bxaf8Ayjo87Rf+gfqn/g4tP/lHQBl1qa5/yGtY/wCwpqH/AKVzUedov/QP1T/wcWn/AMo60tYl0gavqolsdSeQalfCR49VtY0Zxcy72SNtHlaNGbJVGlkKghTI5G4gHM0Vqedov/QP1T/wcWn/AMo6PO0X/oH6p/4OLT/5R0AGh/8AIa0f/sKaf/6Vw0aH/wAhrR/+wpp//pXDWlo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3A0eXSDq+lCKx1JJDqViI3k1W1kRXNzFsZ410eJpEVsFkWWMsAVEiE7gAe9UUUUAf5R39sH/noP++j/jR/bB/56D/vo/415N/bC/3v1P8AhR/bC/3v1P8AhX9q/Xl3X4n8afUP7v4M/wBMT4AfDNvjT/wTE/Zl+HsGuReGNV8Rfsg/s2XXhvxTNosHiWDwt4x0L4aeAfE3gvxRceHbm806DxBb+HfFukaNrU+iSanpn9rQ2L2C6npz3C3sGppX7JHxMl+C3xG+HfjP42eCtf8AHvxf13xt8UfH/wARNE+B9/4e0S3+O1zrngXVfhH4t8A/D7VfjF4uXw38O/hbbeAdGstQ+HPibxZ498SeO57PT9Ul+Kvhq6g1Ma33P/BP5/M/YN/Ylk/56fsjfs2v/wB9fBvwY39a+ua/jXMox/tTOZxcoyxWOxkKk4zlGSjSzPEVqUqUtfYzjVw2Cq88IuUquBwM5KTw0Y1/6/y/XLsnU1Gaw2X4dU4zipQtiMrw+HrwqRulUhOjicZT5JtKMcdjVGSeJk6P5R3H7DP7WzeKfhp4oT9r/wCB2q2tj8VPEvx3+O3w/wDFf7HnjzUvhl8WfjPqms+GV8G+MfCvh7wz+2h4M13wNpvwc8FeE9L0b4VeDPiH4s+PHhnS/iALb43+KLLxd8TPCXwz1fwF+rlFFcyk40YYeKSo0pynSgoq1JSp4eiqVOWslQpUsLh6VCjKVSNCnSjTp1PZxjTh1uN5+0blKfs/ZtuTfNevicVUqzjaMZYiviMXiK2IxHLGriKk1OtzSp03AoooqRhRRRQAUUUUAFFFFABRRRQB+Xnxo/4JL/s8fG34pfGH4m6t8Sf2l/BFr8f9IisfjJ8L/hj8Yp/B3wm+Imr2Hh288P6D4s8V+FIdBvLrW9c8Ny3Fp4h0ex1HWbnwidf0q2m1PwvqWm6h4h0vWvcPAn7Cvwq8AfEj9nH4p6d4s+J2reJf2YfgJN+zr4DTXdZ8LXOna34IlsoNPGp+M4rHwbp15qXiqK2toVj1DR77QNNZlLzaNKzEn7Tooo/uIUadH93DDzp1KMY7Up0sPmuEpODlzyXssJnmb4WjFylCjh8wxNClTpUpU4USr+/lUnW/eSqqcaspbzVSpl1apzcvKm6tbKMrrVZWUqtbA4arVnUqQc6n5x6N/wAEwvgHongD4WfDi08XfF+TQ/hH+1hH+2J4burjX/Bj6re/E2PV7zWV0LXJ4/AENpc+BDdXssZ0ywsdN8QfZ1jQeJxIGlfzr4vf8EeP2cvjB8Qfjb44u/it+1L4B0b9oi5m1b4u/Cb4ZfGKDwx8IfGXiltOnt7PxbrnhGfwpqs+tazpOtzjxhpVrrurar4ctfEkKbtBl0KW70K5/WGis1SpqnSpKEfZ0KU6NKFnywo1MDk+WzpcrbUqcsDw/keH5KiqxUcpwFSMY4jDwxTv2lTnnU53zzk5ynpzObzDM81dRSteFT+0c5zbF+0punUVTMcZFTVGvLDr8x/iP/wSn+A3j7RPgba6L8T/ANpH4N+MvgL8HNI+AXh74ufBD4oaf8Pvih4s+FOi6Xb6baeE/H2tWvhG90fWrB2gl1C6TTfD+iLPe3t3GyjTXh0+H0PSf+Ccf7Onhq9/Y4n8Hp408H6d+w/c+Nb34SeH9D1nSG0jXb/4g2lnD4q1D4iPq/h3VtX16+1O+tZtbludH1bw3I2r6jfzSGS1e3s7b71oroVWoqsq6nJVp5g81lUT955g6uOxDxS0tGbxGZZjiXCEYYf6zjsVivqn1mvUxEsfZwcI03FOEMHUwEYO/KsHVpU6FSha+qlh6NHDupLmrrDUqeGjiY4eEaC+FdQ/4J3fs7eIfE37YPiDxpbeLvHNj+25B8P4PjD4R8R6zpyeGdP/AOFZ6dPYeF5/Ap0DQ9D8R6Be208sOsNfX3iLWruHWbCxvNOmsFhaGTD/AGYf+CcHwe/Zi+Ia/FmP4m/tEfHv4kaZ4Ih+Gvgnxd+0n8U/+Fl6h8MfAKzefeeE/h3bWmgeGtL8PaTqTpbpOrafeXFlbQSWOi3GlWGqa5bar+g1FZ0X7BxdH924YWjgocmnJhsPRxOHoU435lF0sNjcZhoVoqOJWFxWJwv1t4avVw87q/v/AGntv3ntcRUxVTm/5eYirLBTq1J25XJVKmW5fVnSbdCVbA4SvLDuvQpVo+N/EP8A5DVr/wBguD/0rva4Ou8+If8AyGrX/sFwf+ld7XB0Af5B9Ff18X17/wAGl3228+xS/wCh/arj7J8n/BSv/j281/I/1qeb/qtn+t/ef3/mzVX7b/wacf8APX/xz/gpP/8AEV+1/wCsq/6EfEH/AIbl/wDLj8g/1ef/AEOMi/8AC9//ACo/kRor+u77b/wacf8APX/xz/gpP/8AEVas73/g0u81/tcv7r7LfbPk/wCClf8Ax8/Yrj7F/qk3f8fnkdf3f/PX91vo/wBZV/0I+IP/AA3L/wCXB/q8/wDocZF/4Xv/AOVH8g9fr5/wQY/5Sv8A7Kn/AHXL/wBZt+MNfup8Avgf/wAGyX7UHxa8J/Az4GeGP+E4+Kfjj+3f+EW8Lf21/wAFAfDP9qf8Iz4a1nxhrf8AxO/GGreH/Dll9i8OeH9X1H/iY6vafafsn2S0+0X1xa2s37B/AX/gkl/wT4/Zj+LHhT44/A79n/8A4Qj4o+CP7d/4RfxR/wALW+NviX+zP+El8N6x4Q1r/iS+L/iTr/h29+2+Hdf1bT/+JhpN39m+1/a7TyL6C2uYfJzfizBvB4zBVcBmuGr4rB16dKOJw1Oj/Gp1KUJtSr8/s+e6coxl8MrJtWPTyvhjFrFYXGUsbluIo4bF0alSWHxFSr/CqQqTgnGjy8/LZqLkt1dpO5+jtamn/wDHprn/AGC4f/T1o9Zdamn/APHprn/YLh/9PWj1+VH6YZdFFFABWpD/AMgXUP8AsKaP/wCkmuVl1qQ/8gXUP+wpo/8A6Sa5QBl1zGv+JP7D1XwRpn2L7V/wmXii78N+f9o8j+zvsvgvxf4v+2+V5E32zzP+EV/s/wCz+Za7ft/2vz2+y/Zrjp65jX/En9h6r4I0z7F9q/4TLxRd+G/P+0eR/Z32XwX4v8X/AG3yvIm+2eZ/wiv9n/Z/Mtdv2/7X57fZfs1xhiJclJy9r7H95QXtOT2lufE4aHJy6/xef2HN9j2/tP8Al3dejlVH6xjY0vqf1++GzKf1X6x9W5vYZRm2J9v7a6t9S+r/ANo+zv8A7R/Z/wBVs/rVn09ak3/IF0//ALCmsf8ApJodZdak3/IF0/8A7Cmsf+kmh1uecZdFFFABWpqH/Hpof/YLm/8AT1rFZdamof8AHpof/YLm/wDT1rFAGXRRRQAVqax/x9w/9gvQ/wD0y6fWXWprH/H3D/2C9D/9Mun0AZdFFFABWprn/Ia1j/sKah/6VzVl1qa5/wAhrWP+wpqH/pXNQBl0UUUAamh/8hrR/wDsKaf/AOlcNGh/8hrR/wDsKaf/AOlcNGh/8hrR/wDsKaf/AOlcNGh/8hrR/wDsKaf/AOlcNAH0ZRRRQB/jxf2yfb8zR/bJ9vzNQfFT9oD4yfHXxDZ+Lvjd8W/iZ8Y/FenaNb+HNP8AE/xU8e+KfiF4hsfD1pfajqdpoNnrXi7VdX1K10a11LV9W1C30uC5SxhvtU1G7jgWe9uZJcb4f/F34h/CbxfpHxA+Ffj3xn8M/Hugfb/7B8b/AA/8Va54M8X6J/aumXuiap/ZHiXw5fabrOm/2lo2pajpF/8AY72H7Zpl/e2Fx5lrdTxSf1AsdU9nd+z9ryv3VOo6XPrZc7gqnJtd8nMtbRdlf+a3gaXPZe19lzLVwpqpyaXfKpOnzb2XPy7Xkru3+qX+xd4/8KfDP/gmT+yJ8SfHWqjQ/B/g39h39njxT4k1UWWo6nJZaRpfwL8G315JbaVo9pqGs6vetFGYrDSNG0/UNY1a9eDTtKsL3ULm3tpfcfDX7UXwR8V/BDxB+0TpnijWLP4W+ErPxdc+LbvxR8PviR4J8beErnwLc3tl4r8PeK/hH4z8I6B8XfDXjTSb3T57RvAet+BrDxreXUthb6foF3NqmmJd/MPwO0H4h/tE/wDBKz9mJE8Uvrvxd8cfsgfsufECz8WfEXxB4ku08UfFLTPh58N/iNp2ofEXxRa/2r4rvbDxV4y0q3HjnW0i1nWryw1PV72Sz1i6le0upNM/Z6/aO1b4GfGPw/4t0/4K6H8Wvjh458Y/HnVLLwz8TviHr3w78BfFPQNc+GNz8GfhtY+I7n4SeDfFXxA+Hmr6T8OrRfil8Rrrwz8P9b0+9N1a6B8KPEema20eh/zHjZ1JY7O+f92oVpVMPUhSlV/eVMztiuSk5xeMcMNVzOrGgnh5QqZbg6TlUnnEIw/o3CRUcJkypJVFPDSjiITmqSUaOWc2DhOrZxwqr4illtGVdqtFxzHGSjGCyicqnuvh39tf9mDxLpPwj1S3+KlnoV58dfiHrvwk+F3gzx74a8afDP4qeIvid4WOpnxX4Du/g98RfDfhb4reGPFPhODR7698VaP4t8G6FeeGdMW21XXIrDTb/T7q6+pq/Ojwf+y58YNS0Pwn4w+Jdv8ACTQfi/qv7YsH7TfxB0PwV4l8UeMfB3g7w3Hp9p4b/wCFf+AviFr/AMO/BHifxvc/8I/4X8HX2o6vrfgD4cWGueIl1KX+xtHsrHS0f9F6iN3SbqRjTr+3jGVKnU9tShSllWSYlxhWsniPY5jic3wUsT7kK31SHsqUY0ZVsVcZSc7K8qXsXKNSdN0ak6kczzrDxlOlzS9h7XLsNlOLWHblOi8XUU6s3UhTw5RRRSNAooooAKKKKACiiigAooooAKKK/ID/AILM/F74jfBX4I/s4eLvhr4l+JegalP+2f8ABXSNd074U6/q+heKvHHhefS/HN9qvgFI9I1bRv7ftfE76fa2n/CN6nerpOrXy2Md6oVEkjhzUauDptS/2zMcsy5SjGVR05Zlj8NgIVfZ04yq1Y0ZYlVZUaMZVqyh7KinWqU06jByjXlGzdDB5hjOVuMedZfl2YZjKkpSlGEJVo4CVGE6ko0qc6sKlWUaUKrX6/0V+Uvwu/4KZ6vb/Ez4sfB/9sj9mnxH+x748+GvwO1j9pDT7O5+JPhr43aN4u+EPhlr1PE+sWWv+BdH06zg13TGs5Ps/h2wXXJb02uqW0l5ZajYw2F9wnw6/wCCr/jfVNZ+Cfiz42fsWfEH4B/svftM+MLDwP8AAX9obXPil4K8WXGv634tuZ2+Gj+P/hZo2m2uv/DTTPHGlWlxqMOrXus61p1qGtrnTrnX/Dcs3ia20hF1J0YU7VHXjQdKUJRnSnUxOJxuDw2FVaLdJY/EY3Lcdg6GAc1jKuKwtWhGjz+zdfOpJUoVqlS8Y4eVdVE4y5+TDYShmGIxFOny+1q4Ojl+Kw+YVMZSpzw0cDVjivaeyjVVD9laK/ks+Kf7bf7eXib9nz/grPqHirQfiB8LoPhl8V/D2keFvih4V+POgWWrfAPXdH+LPwk8L2HwG8J6Z4At9A1q9TVPCOq63rOr/EzQLm2sNXEd5p2vvqWpas1w/wCrHwH/AOCj3xAn+NPwJ/Z5/aF/ZX8f/ArTPjj8JNW8ZfBP4s+Mfid4O8a638RLbwD4JsvFXiC/8d+BPC6alf8Aw2vLvQ4NR1K5ttc8V61r9rqTafYanpcUmoXV1p0YaccThoYnmhSVTD5fi6cas4RTo4/IM04j9+s3GjSrYfLsoxk50Jz9piFQxNfCe0w2FrVZaYmEsNVqUpRlU9jicywtWVKMqijUy7M8myqU4xgp1KtGris6wq9tTi4YZSowxThVxmGg/wBe6K/CP4X/APBc/wCGvxG+MPgPw5c/CXQ/DXwK+KnxLh+FfgD4syftJ/BfXfio2vapqV3oXhzWPHn7K+j30vxV+HPg7WNbsZ4ZPFOuXEunadpd3oesTNLDrllCfp39nv8Ab8+Lv7Rn7THxe+Cfg79ka8tvhh8B/jd8R/g58U/2gL342+HI9G0R/CCalH4W1LSvAd34PsPE/ibWvGF9pU9vqXhvR5p7LwZb3ujX+o+KNQi1FktdKUJ13RVOEr16GJxMVOLpezpYN4NYl4n2qh9UlS/tDAN08S6dSUcbhXCEnV9nTirKNH6xzyj/ALNVw9GpyNVHOpiquMoUI4dU3P62p1sux9Jzw3tIRng8QpS5YKrU+2/iH/yGrX/sFwf+ld7XB1rXOvar4u1fxE/iDwV4n+FzeHfEWr+FdHi8dXfg3UH8e6FpFyx0/wCJXhM/DPxb8RY7PwT4pNzMuhWHjmTwZ8Rrc6fef8JN4A8Oq9g183+z7T/oOaX/AN+da/8AlPUjP8dOiiiv6IPwcKKKKAP2G/4IF/8AKWj9k/8A7rr/AOs1fGSv9JKv83L/AIICxpL/AMFbf2TY5J4rZG/4XvmaYTtEmP2aPjKw3C3huJjuICLshf5mBbam5l/0of7PtP8AoOaX/wB+da/+U9flXHP/ACNsP/2L6X/qRiT9L4N/5Flf/sOqf+mMOZdamn/8emuf9guH/wBPWj0f2faf9BzS/wDvzrX/AMp60rGxtVttYA1jTXD6bErMsWrgRAavpT+ZJv0pWKFlWICJZH3yISgjEkkfxh9aczRWp/Z9p/0HNL/7861/8p6P7PtP+g5pf/fnWv8A5T0AZdakP/IF1D/sKaP/AOkmuUf2faf9BzS/+/Otf/KetKKxtRpF8n9saaVbUtKYyiLV9iFbbWAsbA6UJC8gdmQpGyARSeY8bGJZADma5jX/ABJ/Yeq+CNM+xfav+Ey8UXfhvz/tHkf2d9l8F+L/ABf9t8ryJvtnmf8ACK/2f9n8y12/b/tfnt9l+zXHd/2faf8AQc0v/vzrX/ynrlfEOrWug6v4F0sXmm3o8aeKrzwy1ysmrwDSRa+CPGXjH+0JIn0N2vUkbwkulC2iaF0fU0vDIY7SSGXDES5KTl7X2P7ygvacntLc+Jw0OTl1/i8/sOb7Ht/af8u7r0cqo/WMbGl9T+v3w2ZT+q/WPq3N7DKM2xPt/bXVvqX1f+0fZ3/2j+z/AKrZ/WrPWrUm/wCQLp//AGFNY/8ASTQ6P7PtP+g5pf8A351r/wCU9aUtjanSLFP7Y00KupaqwlMWr7HLW2jho1A0oyB4wis5eNUIlj8t5GEqx7nnHM0Vqf2faf8AQc0v/vzrX/yno/s+0/6Dml/9+da/+U9AGXWpqH/Hpof/AGC5v/T1rFH9n2n/AEHNL/7861/8p60r6xtWttHB1jTUCabKqs0WrkSg6vqr+ZHs0pmCBmaIiVY33xuQhjMckgBzNFan9n2n/Qc0v/vzrX/yno/s+0/6Dml/9+da/wDlPQBl1qax/wAfcP8A2C9D/wDTLp9H9n2n/Qc0v/vzrX/ynrS1WxtWuYi2sabGRpujrteLVySE0ixRZB5elSLslVRLGCwcI6iVI5A8agHM0Vqf2faf9BzS/wDvzrX/AMp6P7PtP+g5pf8A351r/wCU9AGXWprn/Ia1j/sKah/6VzUf2faf9BzS/wDvzrX/AMp60tYsbV9X1V21jTYmbUr5miki1cvGWuZSY3MWlSRl0J2sY5JEJB2Oy4YgHM0Vqf2faf8AQc0v/vzrX/yno/s+0/6Dml/9+da/+U9ABof/ACGtH/7Cmn/+lcNGh/8AIa0f/sKaf/6Vw1paPY2qavpTrrGmysupWLLFHFq4eQrcxERoZdKjjDuRtUySRoCRvdVywNHsbVNX0p11jTZWXUrFliji1cPIVuYiI0MulRxh3I2qZJI0BI3uq5YAHvVFFFAH+en/AMQnH/BR/wD6LX+xT/4cf46//Q4Uf8QnH/BR/wD6LX+xT/4cf46//Q4V/oWUV9T/AK455/z9wv8A4SU//lp81/qlkv8Az6xH/hVP/wCVnz1+yN8JvEnwE/ZR/Zi+BfjK90TU/F/wW/Z5+C3wm8Val4aub+88Oah4k+HPw38NeD9cvdAvNU03RtTutEu9T0a6n0q51HSNKv57CSCW802xuGktYvoWiivmak5VKlSpOzlUnOpKysuapOdSVlrZc05WV3ZWXQ+jhCNOEKcbqNOEKcU3dqNOEIRu+r5YRu+ru+oUUUVBQUUUUAFFFFABRRRQAUUUUAFFFFABX5z/APBS39kv4xftgfCf4Q+Dvgd468HfDfxv8OP2jPhz8ZY/GHjP+1ZbbRbHwXpniu2OoaLpumaDr0eueItP1HW9O1HTND1ZdK0XVBZz22oa1YRupk/RiiplDmnh6ilOE8Ni8HjqE6cnCUMTgMVSxmGmmk7qFejTm4tWko8svdbTuE3D2iSi1Vw+Kw01OEZxlRxmExWCrxcJpxfNh8ZXiuaMopyTcZpOEvxg8Mf8E+P2k/j98W/jF8Zf+CgPxD+CV1rPjP8AZf8AFv7J/gTwh+zFp/jqDwx4b8H+OLie817x5eXvxMhjvx4xjuLq9+zaVNa6/o8sl1FdNeW0WmWWnV5/4R/4J1ftv+ONJ/Zr/Zz/AGofjF+zfrn7IH7J/jjwj4w8HXXwp8OfEDTvjl8XbX4SG40z4V+GvibZeIIIfAfhnSE0C5EPiBvCt9ql9GLOKykvPEmqT/8ACX2v7v0VpRl7CeHnSjCEcNPCV6dBQX1d4zAY7HZng8xnRbanmFDMMyxmLjiXNc1WdJVKFSjhcHQwuVWKrQrQqOT9tHE0nU55OtSwuMy/D5RicDQqycp08FVyvC0cBKj+8n7D2sliVicTisZX/n6+N3/BMv8AbK8X6d/wUU+Ffw/8dfs1SfBH9tDx5pPxf8L3XjK/+J2l/E7w18RLTxv8OvEtxp2tSaH4O1rwzY+EU0rQfE2n77OLxNq1/eweGrtBosN5rEFr9jfFz9h7x98Tv2mP2EPivLrPgcfDz9mz4VfGL4dfFfSLjWPEdp4o18/Ev4VJ4Atm8DQ2nhifT7y1iuzPLfXOs6z4aurayZJ7S3urofZl/T+isaVKnSw9HCKEalCisNFQrL2ntKeEyLPuGsPRrtuDq0oZLxJmmD5HyOUZYecpuphoSq61KlSrUxFVzlCpiY41TlSfs+SWYZhkOaYqrRtzeyrVMw4byvFKpFy5KlOvyQjHEShT/nn/AGcv+CRvx0+DHxD+GXg3V4/2CNS/Z6+EvxRvfHNh8W4/2Z/CXi/9sv4k+GLPWrrX/D3gLxv4h+Ivw313wr4diW8uILSTxj4R8QDx14etNOsm0DxE3l29vafpX+xR+zB4+/Zv8Rfthav441fwfqtt+0F+1n8S/jx4MTwpqGtX0+meEPGQsP7L07xOur+H9CjsvEkH2WT7fZ6VLrWmRbk+z6xdZbb920VvTq1IJLnlUl9Tr4KpVqtTq1qWIr5ViKlSvO1NVMRzZLl8I1lSpctKnWXspVMXi69bKcITdR8sYRnicLilTprkp0qmDebSowowXM6dH2mdZhUnSdSrzSqUYqdOjhMLQpeN/EP/AJDVr/2C4P8A0rva4Ou8+If/ACGrX/sFwf8ApXe1wdQUf489Ff2LX3/Bpn9ivbyz/wCG+/M+yXVxbeZ/wyvs8zyJXi37P+Gjn2b9m7bubbnG44yav/EJ5/1fx/5qz/8AlG1+zf615B/0H/8Alti//lB+S/6s53/0Bf8Alxhf/lx/HnRX9hn/ABCef9X8f+as/wD5RtWrP/g0z+1yvF/w335ey1vrnd/wyvvz9isri82Y/wCGjlx5nkeXuydm/ftfbtJ/rXkH/Qf/AOW2L/8AlAf6s53/ANAX/lxhf/lx+N//AAQL/wCUtH7J/wD3XX/1mr4yV/pJV/Nt+wL/AMG9v/DDv7Wnwn/aj/4a6/4Wh/wq/wD4Tv8A4ob/AIUH/wAIV/bn/Ca/DTxl8O/+Rm/4XV4t/sz+zP8AhLf7Y/5F7UPtv9n/ANn/AOifa/t1t/STX5/xXmGDzLMKNfBVvbUoYOnSlLkqU7VI1q8nHlqwhJ2jOLulbW17pn3HDOBxWX4GrRxdL2VSWKnUjHnpzvB0qMVK9OU4q8oSVm76XtZoK1NP/wCPTXP+wXD/AOnrR6y61NP/AOPTXP8AsFw/+nrR6+ZPojLooooAK1If+QLqH/YU0f8A9JNcrLrUh/5Auof9hTR//STXKAMuuY1/xJ/Yeq+CNM+xfav+Ey8UXfhvz/tHkf2d9l8F+L/F/wBt8ryJvtnmf8Ir/Z/2fzLXb9v+1+e32X7NcdPXMa/4k/sPVfBGmfYvtX/CZeKLvw35/wBo8j+zvsvgvxf4v+2+V5E32zzP+EV/s/7P5lrt+3/a/Pb7L9muMMRLkpOXtfY/vKC9pye0tz4nDQ5OXX+Lz+w5vse39p/y7uvRyqj9YxsaX1P6/fDZlP6r9Y+rc3sMozbE+39tdW+pfV/7R9nf/aP7P+q2f1qz6etSb/kC6f8A9hTWP/STQ6y61Jv+QLp//YU1j/0k0OtzzjLooooAK1NQ/wCPTQ/+wXN/6etYrLrU1D/j00P/ALBc3/p61igDLooooAK1NY/4+4f+wXof/pl0+sutTWP+PuH/ALBeh/8Apl0+gDLooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigDU0P/kNaP/2FNP8A/SuGjQ/+Q1o//YU0/wD9K4aND/5DWj/9hTT/AP0rho0P/kNaP/2FNP8A/SuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK+B/jf/wVA/YU/Zx8eeMPhh8aPj3p/gnx/wCA7jwvbeJ/C03gX4o63qdm/jHQf+Em0GWxXw14I1mHXbSbRWhu9QvtAm1Oy0GS80+x1640y/1GxtbiHOEZQhKcVOopuEHJKU1TUZVHCLd5KnGcHOyfKpxbsmmVGE5KUowlKMOVzlGLagpycIObWkVOacIuTSlJcqfNZP74or8mf2nP+CmnhH4NePf2C9f8IeN/g9qP7Lv7Us3xW1Xx98XvETazOujeD/Avhvw7q2lX3hPUrHxBo9rpWsS6pq11o2raNr/h/XdYOrxReHItGsfEEc1nJ9a/BL9uj9kr9on4aeOvjB8JPjf4U174cfDGS4T4ieJtah1zwFB4JhttOOqvqHiaw+IWk+FdW0fRpbBJ57TXL2wi0e/+xajFZX1xNpt/HbXtSxNaX7uOCr4+hjY1P3dTByy3EYbC4qpiqcveoUFiMXRp061VxhVk5cmii6s3XNhYxan9doYSvg503z08VHGxxs6EMPOOlas4Zfiak6NNSnThGMpfE40vrGivir9nD/gop+xf+1v4n1vwV+z98dNE8deLtA0wazf+Grnw5458Fa1PpIkkin1DRdP+IHhfwrc+JLSweNf7Vm8Ox6qmkLcWL6obRNQsWuPKNH/4LC/8E29d17wb4a079qPwy2s+O9VXRNAtr3wd8UNKhg1J9bl8PRweKNQ1XwPZad4FSTU4mMd144u/DtpJprwa2k7aJc2+oS1GE5VaNCMJSr4iFOdCjGLdWtCrWlhqU6VNJyqRqYiE8PBwUuavF0bKranKZSjGnXqylGNLDSlDE1ZNKnh5wovEzjWm3y0pRw6eIanJfuFKsnKnGU4fpZRXxX+0B/wUU/Yt/Za8faL8L/jv8evDfgXx7rtvaXlt4cOjeMPE13p1nfzQw2N34on8HeHPEFj4Mtb0XEdzaXPi+60OG5sBNqULvp9vcXUW3+0T+3j+yN+yjpngnWPjz8bfDngyy+I8DXvgf7DpvifxzeeJNLW3iuv7d0/TPh7oXivUz4caGe38vxJNZxaDLLcW9vFqL3FxDE+cZRnCFWMoypVMV9Rp1Iyi6c8a3OP1SE0+SWJvTqL2Klz/ALuq9qNaVDRwkqkqLjJVY4dYuVJpqpHCvktiJQaUlQftKf71pQvUpq96tJVfrmivyT/ZR/4KdeD/AIg/Aj9p79or9pLxr8I/h78Kfgv+1D8R/g74L8a+EYvED6P4p8B+HrHw5qHgvUre2OueNdV8a+L/ABLaazPdW8Pgm1K65bJDLovhyNI5Wdf2jP8AgqR8NY/2E/i5+1z+xX43+Hfxlvfhr4k8E+GZbPxdoHjiy0/TdQ8SeN/Dfh68g8T+Db64+HXjrTzLpOsXV7od1O2m2eoSwrdWkupWlvcRNaTk6UYxk51aeR1ZU1FuphocRPJVlf1ynbnwjqSz/Lo141oxeGlOsqifsG6rpw9rW9jCUOaWLzHBUpymo0cRXyqWLjjFhar9zEU4/Ua8qVSleNaChOCtPlp/rXRX5tQft8eEPh78Xv2p9H+PvxT+D+g/C34Ka1+zr4c0SPwZ4F+Pt78QfBOt/G3QLu4t4fjVqt14Qv8A4fz2PiLXEtU8Iaz8Pr+/0XQ9Odrfx7qOlanc2SS/YWq/H/4SaJ8bPCP7Omo+K3T4yeOvBusfELwz4PtvD3ijUBeeDNBuJrTU9fvfEOn6JdeFdEs4bu3ktIE13XNNub+7MVtp8F1PPBHI1FyVBxtL6zyKkovmlKpPCYvHqhZXTrrA4HE42VKEqjWDpSxKnKipyp4QqwnGU03GMaNHENzThahXWWqnWalqqTrZtgcI5yjBRxlZYZr2jpuunxD/AOQ1a/8AYLg/9K72uDrWufGvg34o6v4il+Gfi3wx8RY/AXiLV/hr45k8C69pXi5PBnxG8LXLN4m8AeLH8P3eoL4d8beHV1CwbXfCusGz13SBfWZ1Cwtxcw72/wBh61/0B9U/8F93/wDGak0P8cuiiiv6APw8KKKKAP8AVc/4J3/8o/8A9hj/ALM7/Zl/9Ur4Jr7Er5N/4J2aPq8v/BPz9haWLStSkjk/Y4/Zjkjkjsbp0kR/gp4IZHR1iKsjKQyspIYEEEg19jf2HrX/AEB9U/8ABfd//Ga/B8X/AL3i/wDsLxX/AKk4k/acL/uuF/7BsN/6j4cy61NP/wCPTXP+wXD/AOnrR6P7D1r/AKA+qf8Agvu//jNaVjo+rpbawr6VqStLpsUcStY3SmRxq+lSlIwYgXcRxySFVyQkbvjarEc5uczRWp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNAGXWpD/AMgXUP8AsKaP/wCkmuUf2HrX/QH1T/wX3f8A8ZrSi0fVxpF9EdK1ISPqWlSJGbG6DskdtrCyOqeVuZI2liV2AIUyRhiC65AOZrmNf8Sf2HqvgjTPsX2r/hMvFF34b8/7R5H9nfZfBfi/xf8AbfK8ib7Z5n/CK/2f9n8y12/b/tfnt9l+zXHd/wBh61/0B9U/8F93/wDGa5XxDeavoGr+BdKfw9qVw3jbxVeeGIpWiurc2T2ngjxl4zN1HCbOU3zvH4RksjarJbFEu3vvOZbNre4wxEuSk5e19j+8oL2nJ7S3PicNDk5df4vP7Dm+x7f2n/Lu69HKqP1jGxpfU/r98NmU/qv1j6tzewyjNsT7f211b6l9X/tH2d/9o/s/6rZ/WrPWrUm/5Aun/wDYU1j/ANJNDo/sPWv+gPqn/gvu/wD4zWlLo+rnSLGIaVqRkTUtVkeMWN0XVJLbR1jdk8rcqSNFKqMQAxjkCklGxuecczRWp/Yetf8AQH1T/wAF93/8Zo/sPWv+gPqn/gvu/wD4zQBl1qah/wAemh/9gub/ANPWsUf2HrX/AEB9U/8ABfd//Ga0r7R9Xe20dU0rUmaLTZY5VWxumMbnV9VlCSAREo5jkjkCtglJEfG1lJAOZorU/sPWv+gPqn/gvu//AIzR/Yetf9AfVP8AwX3f/wAZoAy61NY/4+4f+wXof/pl0+j+w9a/6A+qf+C+7/8AjNaWq6Pq8lzE0elalIo03R4yyWN0wDxaRYxSoSsRAeORHjkXqjqyMAykAA5mitT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmgDLrU1z/kNax/2FNQ/wDSuaj+w9a/6A+qf+C+7/8AjNaWsaPq8ur6rLFpWpSRyalfSRyR2N06SI9zKyOjrEVZGUhlZSQwIIJBoA5mitT+w9a/6A+qf+C+7/8AjNH9h61/0B9U/wDBfd//ABmgA0P/AJDWj/8AYU0//wBK4aND/wCQ1o//AGFNP/8ASuGtLR9H1eLV9Kll0rUo449SsZJJJLG6RI0S5iZ3d2iCqiqCzMxAUAkkAUaPo+rxavpUsulalHHHqVjJJJJY3SJGiXMTO7u0QVUVQWZmICgEkgCgD3qiiigAooooAKKKKACiiigAooooAKKKKACiiigAr+a3VvjnffAL/grR/wAFIfFMH7J/xe/ahstb+EfwC8J3tv8AA3wdpvxD8ceG5tW+F3hOWy0XVvB9xe2uqTfD3xubK4i8W69pUGrR6JdeHtBi1DRtQTVLUQ/0pV4z4W/Z8+EHgv4yfE79oHwz4R/s34u/GPS/CujfEjxb/b/ie8/4SPTfBOnQaT4Ytv7B1DWrrwzpH9mafbQ2/naDoul3F7s83UJbudnkbCVD2mJU5zcaE8p4iy2uoxhOpOOdZZQy9Riqi5IwcY141ams6UZU6lOliGp0Kmsaijh69Lk56k8Tk1enec6cYvLc4p5lKbnSlGopKNKDpRVlUmpQlOinTxFD+dP4GfsWfHz4X3X/AARb0Lx/8HPE13/wgvxh/ah+KPxN0rS/Cer+K/DHwMsvHtx4c8U/D/S/G+tWttq2keFr2yltrK7spdZu7B7LxJb3NlbSSarpE1wen+Of7Gn7RPxt8Yf8Fu/CXgL4b+KtIuvjBrH7IviP4S3niHRL3wf4Q+MZ+HMMvifxdoPhDxdr9haeGdduZZbCWynubTUjYW3iS506213UtLiu5ruP+muiumrJz5uS1LllnUsPdKuqDzXE8E4nD8yxCqrFrLpcCZRBLFKp/aUK+O/tC7romlUnTcJycZ1FUyitVnyRpKrVyzH8XZjVcadFU4YaOOr8ZZlenh+SOBhQwawVnSbP5+fCcnxV/bY/a5/YS+IHhD9jb4+fsg+DP2MfDHjS7+J3ij44/DeH4VJe2/inwTY+F9D+DvwhtN8dx448JJd6XqFhPdxaTo1vpPh++lu59G8NzXtnp+sfHK/st/GqP/gg54r+Fkf7OnxRT41X37RB8Xj4cp8IvFi/FG8C/GbSoU8UDwgvh4eLLgL4LgMKa1/Zz48LwmMXP9kx4H9ZlFVGahVqVYxs62Jw2NrKU6k+fF0uNcq43r1VKpKc4U8Tjsow2C9gpThh8NOtiI1MRmFWria8Yf8A2dYWMfehgqdDDYaMrLkwmE4YzjhfCUJyik6tSjhs6xWLnipqNWrXhSo+zoYSEaUP5Nv2vP2YPjZ4V/a6/a613xH8O/8AgpV8QvCP7UHhb4fzfDMfsI+K7Twp8NfHEVp4KXwRqfwv/aj1C68H+NbLw1oOkSyTaRbanrej6rBaaBea3qk3hjUtO1a4kh+mNQ+FHxY/YO/ai/Y/+P8AP+y/+0D+0X8KPCf7CujfswXfh34TafpH7R/xh+B/j/SNQvdfaNbrSNA+HtlrGnJpt2/g3/hPLLSvBmi3+kX+v29ta2Mb2Wgat/RjRWeH5sNTw1OnLXD1ZpTcYt1cDPBZ7lzwVSMlUi6iwfEOOhDH8yxEKlPDVaeGpx+vYbMs/ZQlCVOpedOeDo4eUeZwf1ii+G5fXITjZw558LZc3hIwlQ9nUxNCVerSWCWX/wAdX/DIf7Ufij9kTxz4mh/Z6/aF+E03w/8A+CrXi/8AaJ1r4H/C/S7vwf8AHGz+Fl/4Y8MaXa+If2er640q5tfEet+A7qe5tfBGteENP1vRdRurSbVdCeaz0glOu8W/spfFHxV+xd/wUA+IXgX4Jf8ABRjVvE/xi1v9m/wv4YtP2wfFI+J/7SPxhs/hv8QtAvdQ8R3/AMG/Cvwp0jxj4Sg8E6fLLpGk6lqnjH4gW+q+GYri50z+w9O025ST+ueinh2sM4ezXu0lk/sIuUm6csrocFYWrerKU6lWnj6HA2WxnTmoLDzxWMqwqYuSwccJ0OrOeJjiqjU6rxeMxdbRQhWeKx+d5nTpqEWo0lh8ZnuKqKpF1pVo0cKpwo1YVcTiPwk0P9kLxN8dvj7/AMFjPh18Q/Afinw74E/aF8AfswaD8N/G/ifwxr+keE9c8TeF/hTrRs9d8La9c2ENh4hfwD45t9BvdXXRbi/bTL+1htL+NJZRA/c/8Esvhx8e/FvjD4o/tU/tUeBPGnw/+KUHw8+EH7KPgzw58QfD+o6Dr0fhL4OeDtDuviH42sE1SC2mvfD/AMUPinf6lrml6jbwC2vItJeeG4uY5VZf2iop0JPDyUoJPlynD5ZFO9o1KEcwwsswila2LrZTmeLyiotaSwlTmjesk48rop0IUHJ8sMXQxLlZKU6VDAZHhlg5br6tPHcPZbm8rJT+uUlTTeH0l438Q/8AkNWv/YLg/wDSu9rg67z4h/8AIatf+wXB/wCld7XB1Jsf479FfsbP/wAEAv8AgrfbTzW837Jmya3lkhlT/he/7M7bJYnMci7k+MrI211I3KzKcZUkYNRf8OCf+CtX/Rp//mdv2af/AJ8lfuH9rZV/0MsB/wCFdD/5M/Hf7MzL/oX43/wlrf8AyB+O9FfsR/w4J/4K1f8ARp//AJnb9mn/AOfJUsP/AAQC/wCCt9w5ji/ZM3usU8xH/C9/2Z1xFbQSXEzZb4yqPkhikfaDubbtQM5VSf2tlX/QywH/AIV0P/kw/szMv+hfjf8Awlrf/IH95/8AwTv/AOUf/wCwx/2Z3+zL/wCqV8E19iV82fsZ+APFvwo/Y/8A2Uvhb4/0n+wPHfw1/Zs+BfgDxroX2/TNU/sXxb4O+F/hbw74k0n+09FvdR0bUf7O1nTr2z+36TqF/pl55P2iwvbq1kink+k6/FsU1LFYqUWpRlicTKMk01KMsRiJRkmtGnGSaa0aaa0aP1zDJxw2HjJNSjh8PGSas1KNCgmmnqmmmmnqmmnqgrU0/wD49Nc/7BcP/p60esutTT/+PTXP+wXD/wCnrR6wNjLooooAK1If+QLqH/YU0f8A9JNcrLrUh/5Auof9hTR//STXKAMuuY1/xJ/Yeq+CNM+xfav+Ey8UXfhvz/tHkf2d9l8F+L/F/wBt8ryJvtnmf8Ir/Z/2fzLXb9v+1+e32X7NcdPXMa/4k/sPVfBGmfYvtX/CZeKLvw35/wBo8j+zvsvgvxf4v+2+V5E32zzP+EV/s/7P5lrt+3/a/Pb7L9muMMRLkpOXtfY/vKC9pye0tz4nDQ5OXX+Lz+w5vse39p/y7uvRyqj9YxsaX1P6/fDZlP6r9Y+rc3sMozbE+39tdW+pfV/7R9nf/aP7P+q2f1qz6etSb/kC6f8A9hTWP/STQ6y61Jv+QLp//YU1j/0k0OtzzjLooooAK1NQ/wCPTQ/+wXN/6etYrLrU1D/j00P/ALBc3/p61igDLooooAK1NY/4+4f+wXof/pl0+sutTWP+PuH/ALBeh/8Apl0+gDLooooAK1Nc/wCQ1rH/AGFNQ/8ASuasutTXP+Q1rH/YU1D/ANK5qAMuiiigDU0P/kNaP/2FNP8A/SuGjQ/+Q1o//YU0/wD9K4aND/5DWj/9hTT/AP0rho0P/kNaP/2FNP8A/SuGgD6MooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivBfEX7SHwz8N/Hvwl+zTc3Gt33xa8ZfDjxT8V9O0TTNFuZ7K18FeFbyPTZ7++1edrWxN3qmqNPp2k6Xp8uoai89pPLqFtp1nJZ3V1Epwg4qTs5+15IpSlOfscNisZW5IQjOc3TwuCxeImoQk1Sw9WXK7RjNqLalJL3YKDnJtKMFUr4bDQcpNxjFSxGMwtGLk0nUr0o3XM3H3qivJvgf8V/+F3fDPw/8Sv8AhWvxZ+EX/CQS6zF/wgHxw8Hf8ID8TNE/sbXNR0TzPEHhX+0dW/s2LVf7O/tfRn+3zfbtDvtO1DEX2ryU9ZrWcJU5OE1yyja6vF2vGElrGU4v3ZweknvZ2kpRhKaldp3tKcHo171OpUpTWqXw1KVSN1eMuXmhKcJQqVCiiipGFFFFABRRXziv7T/gF/2rpP2PBpHjD/hZkfwP/wCF+trh0/Rf+EFPg7/hMYfBP9mjU/8AhID4g/4SX+1ZluPsZ8MDS/7PDS/2z9pAtCR96pCjHWrUjiJ04L4pxwuHni8RJbK1HDU5153atTi2lJ2gx+7TqVZaU6KpurN/DBVsRRwtJy6/vMRiKFGNk/fqwTsm5R6r4h/8hq1/7BcH/pXe1wdd58Q/+Q1a/wDYLg/9K72uDoA/zbJ/+C/v/BW+5nmuJv2s981xLJNK/wDwoj9mdd8srmSRtqfBpUXc7E7VVVGcKAMCov8Ah/t/wVq/6Ow/8wT+zT/85uvx3or9w/snKv8AoW4D/wAJKH/yB+O/2nmX/Qwxv/hVW/8Akz9iP+H+3/BWr/o7D/zBP7NP/wA5upYf+C/v/BW+3cyRftZ7HaKeEn/hRH7M7ZiuYJLeZcN8GmHzwyyJuA3Lu3IVcKw/HKij+ycq/wChbgP/AAkof/IB/aeZf9DDG/8AhVW/+TP9Y39jPx/4t+K/7H/7KXxS8f6t/b/jv4lfs2fAvx/41137Bpml/wBteLfGPwv8LeIvEmrf2Zotlp2jad/aOs6je3n2DSdPsNMs/O+z2Fla2scUEf0nXx3/AME7/wDlH/8AsMf9md/sy/8AqlfBNfYlfi2KSjisVGKUYxxOJjGKSSjGOIxEYxSWiSjFJJaJJJaJH65hm5YbDyk25Sw+HlJt3blKhQbbb1bbbbb1bbb1YVqaf/x6a5/2C4f/AE9aPWXWpp//AB6a5/2C4f8A09aPWBsZdFFFABWpD/yBdQ/7Cmj/APpJrlZdakP/ACBdQ/7Cmj/+kmuUAZdcxr/iT+w9V8EaZ9i+1f8ACZeKLvw35/2jyP7O+y+C/F/i/wC2+V5E32zzP+EV/s/7P5lrt+3/AGvz2+y/Zrjp65jX/En9h6r4I0z7F9q/4TLxRd+G/P8AtHkf2d9l8F+L/F/23yvIm+2eZ/wiv9n/AGfzLXb9v+1+e32X7NcYYiXJScva+x/eUF7Tk9pbnxOGhycuv8Xn9hzfY9v7T/l3dejlVH6xjY0vqf1++GzKf1X6x9W5vYZRm2J9v7a6t9S+r/2j7O/+0f2f9Vs/rVn09ak3/IF0/wD7Cmsf+kmh1l1qTf8AIF0//sKax/6SaHW55xl0UUUAFamof8emh/8AYLm/9PWsVl1qah/x6aH/ANgub/09axQBl0UUUAFamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fQBl0UUUAFamuf8hrWP8AsKah/wClc1Zdamuf8hrWP+wpqH/pXNQBl0UUUAamh/8AIa0f/sKaf/6Vw0aH/wAhrR/+wpp//pXDRof/ACGtH/7Cmn/+lcNGh/8AIa0f/sKaf/6Vw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfxl/8ABRG08WfFn9uz9s6D4yfEv9lf4d2XwT8P+A5vgZP+1j8Vv2mPA/iTwH4SvvBceox+Nf2VfDXwD1KPT/G3i288QRJ4n1rSNS8K+PdVn8RWmgQW/hjUUt9YtJ/7NK8j8f8AwA+A/wAV9e0HxV8Uvgn8I/iV4o8KpHH4X8SeP/hv4N8Y694bSG9GowpoOseItG1HUNHSLUAL+NdPuLcJegXSgTgSVzzoueKwmI53GOHWLg0nNTpSxNPDQp43DOE6TjjcE8PN4Zurh044rERWLws3GrPaNVRw2Ko8qcq7wsk2oOFSOGr1a0sJiFOFRSwmL54RxMVSr3+r0ufDYqk6uHl/Nk/7P2j/ALWX7df7PngD9q/XL/4sJd/8EmPCPi7xvqXhXX/id4A0v4o65pni6/n0PXfESX9h8O/iLPZ3N9daX44uNE8TaN4Zu38X6bpt1rmgwrZy6S3zD8Bfhvb+DPgd/wAEff2uLTxR8Qb749eMP23/AA78ApPHGt/Ejxv4ibTfgLp/jzxt4AsvhLofh/WtYuvDXhrwZa6DpF/p0ei6DpNnA9hr2s2k0ktnfCztv7EZvhp8OLnxx/ws64+H/gmf4lf8IzJ4L/4WFN4U0KXxx/wh0t21/L4T/wCEsewbX/8AhGZb53vZNB/tD+y3u3a4a1MzFzytt+z18ArPw94I8JWfwO+D9p4U+GfiZPGvw38MW3w08FweHvh94yjv7vVY/FvgjRYtFTTfCniZNTv77UU17Qbaw1Vb+9u7xbsXFzNI/oYeuqGKoYmMFFU8xoY6dOnyQUkuMOKc+xqSjTp0lWxuS59hMiq1I0aUJ0sPjqEqVPKsXTwMOKvRdbCV8M5uTqZdWwNOdRzn7Pm4Lw3D1FvmnOo6VDOsLQzynB1Jzi8PhJqUsxoRxC/lp+Jlj+yx8S9U/wCCoXxa/bi+L+o+Ev24Pgd8XPihpH7LOna78YPFHgHxn8OfBngnR5de/Z2f4D+BrTWfCtv4rg1XxHN9tQ2Gm+IlZG07xW/9h3viW48Ua90mmeAvhp4t/bn/AGAfip+21pmleGfit8Tv2FfB/wAUNf1vx7408QeBZfE37S/gfVbLSvhRqVzHJr/h/ToPHV3pOjaC1x4Bgt7fTNX8QTyadqPhvUdRufJn/pz8Yfs9fAL4h+NND+JHj/4H/B/xz8RPDI0xfDfj3xh8NPBfibxp4fXRNQl1bRl0PxTrWi3uuaSNI1WefU9MFhfW4sNQmlvbTyrmR5Dp+PPgr8G/inqvhbXfid8Jfhl8Rtb8DXkmoeCdZ8eeA/C3i/VfB9/LcWV3LfeFtQ8QaVqN34fvJLrTNNuZLnSZrSZ7jT7KZnMlpA0fmww8oYPC4dTUalDD4bCPkTjQpKjwrxLw3isywkXerTzXN62e4XN8zqVJuhWxmXRU54mUsPisJ216qrV8bVs+TFPHVVz2lUl9azbh3NMNlldxtTnk+WxyTE4PB0op16dHN8Y6cKF6tHGfyQ/C288L69+x7/wSI+EH7Rvi/VPBH7DPxQ+Kf7VsP7Qd8PFOreBvBXiTxR4b+JnjHWvhL4S+JPjLSvsT6J4avfEUU1woute0a1Ecep+Ije6Xc+FLXxHoMvxkufCvhf8AZe/4LAfBf9l3xTdeNf2Cfh0P2XLr4PXlt4v1P4geA/CHxJ8TfEb4e6t8RvCfwv8AG+p6nrr+INCutRuL3VNbWDXNRhstQj0+8LzTa3Lqur/1lN8AfgQ/wy/4Uq/wU+Ej/BvzGm/4VK3w48HN8MvOfWW8RtL/AMIGdGPhXzG8Qu+vM/8AZW46yzaoSb5jOUh/Z/8AgPb/AAxn+CcHwT+EcHwauXMlz8JIfhv4Ni+GNxI2rx6+0k/gJNGXwrK7a9FFrZaTSmY6vHHqRP2xFmHTjl9b/tHl/d/XJ46SW6xX16twnVpPNLXdeeSrhyvTyZ4dpUo42jzfVlRxkMyKFRUcThK7TnGhjMPieV2vhlhsz4rx9R5e9FSrZtT4ioYXNpVnyVaeCqcqxCq4SOA/Abwj+zx8Pv2Rf+CkH/BNK8+CF1450TUP2m/gZ8aF/aC1HX/iD4w8ZXvxb1Dw/wDCODxPb6z4sk8U6vqqPe3XiJrTWrm00uPTdDh1HSdKutL0fTpLQF/hj4X/AAZt/hP/AMEYviT+2L8IbPxTZ/tH+L9U8VfCvX/itp/irxj/AGl8PfgLeftA2th4q0DwzpFnq02meHdAuH0ye917VfDmh23iQ/8ACU+I7qXUmsZriGv7AL34V/DDU/EfgvxjqPw48B6h4u+G9jqOmfDvxTe+EPD134j8Babq9gulatp/gvXJ9Ok1PwtY6pparpuo2mh3VjBe2CrZ3MctuBHR4Y+Fnwx8EeC5fhv4M+HPgPwj8O54dXt5vAXhjwh4f0DwXNb+IJLmbXoJfC2ladaaHJDrct7eS6vE9iU1KS7uXvVmaeUveNl9Z/tSVKKhPF/2lTwaqa08PgcZx1ieKqeWVFBOSwE8prS4dxdHDLllhMXmNOhTlg8TUw2Lwwa+rPL1NuccOsjqYzltzYnG5Xwli+Hq2YxVS8JYx5jXwmdYSriFJwrZbgvbyVehQqYb+UH9jfSPih8DNU/a7X9mD4yfsc6gkX7CXxI8e3Hwf/Yn8eftcfFzQ4PiBY2U8nw6+Kdx4i+Muk+O/Buj/FrTriS50JvCNr8SrDxI1glrAPhwWF5qaeP+GfCv7GWleCv+CR/jH4IfFq98WftI/Ez9sD9nzxb+034dT4s+JPGGoat43ufEiS+I/E3xR+H9/wCJdT0rwX4p8OeJ72/8P+B9Zk0Hw/q/inw1q2vX6y+I4p77Vov69vB/wB+Enwq8LeLPC/wJ8AeBP2e18X2twL3Vvgt8Ovh14LvLbWW0+fT9N8TrpkPhK78LavruhCYT6U3inw94g0wSRJb3+mX2nvPZTflb8NP+CRHjPTPjJ8OviR8bf2qfCXxQ8J/Dr4tWHx4g+Hvwz/Yw+An7Mkvi74u6B9uk8L+LvH3jD4UOl/4wl0m51K/uZ4ta0y6uryS9vDa6hpjXl28/Rhq8Y5vga01Onh8NPIassZUcZYinRyrOOIcyxGW0akHVqVMFiKWaYSEqFWlCpVxGX4GUalLD8lDJeetQf9lY2jFwqVq1HPMPDCxUo0atTNeGcDkeHx9aM+SEcVhsRh6+JdaFWXs6eNxil9ar/wC05l+dd38b/g/8Kfgp/wAF6/hX8SPiX4K8FfEzxz+0D8epfBHgDxD4h07TvGPjOLxxZX+leGpPCXh2acar4kjvLyWIXkmi2t6mi2siahrh02wdbk/Sf/BPn/k+n9kT/tB18EP/AFOvB1fuN4s/Zj/Zs8eeLdR8f+Of2e/gd4z8d6xpVzoWr+NfFnwm8BeIvFuqaJeaJN4au9G1HxHrGgXmsX2lXXhy5uNAudPub2W0n0SebSpYWsZXgbqvD3wd+EXhHXdI8UeFPhZ8OPDHibw/4GsfhhoHiLw94H8M6LruifDXTJ4brTfh5pGr6bpdtqGm+BtPura3ubHwlZXEOgWk8EM1vp8ckSMvNlz+pUsHGp+8qYbLcuyyTp+7TlSyrhDPuFMNViql5qpWjm1DG4hSfJGVGvRoXUqM31Zg/rjxKp+5DEYrNMYvaazjVzXO+Ec4rU3ye46dB8NVcPSkrVKixVKpVUXTqxPPLnwlpXw61fxFH4fu/E+oL4z8Rav4/wBYPjrxr4y+KL2eu+Irll1Cw8Jy/EzXvF0ngLwTbixh/sL4a+Bn8O/DnwsXvG8M+FdIbUL83Lf7Yu/+eOl/+CPRf/lfXUfEP/kNWv8A2C4P/Su9rg6Qj/Hfooor+gD8PCiiigD/AFbv+Cdmq3Uf/BPz9haNYtNKx/scfsxopk0fSJXIX4KeCFBeWWxeSRyB80kjs7nLOzMST9jf2xd/88dL/wDBHov/AMr6+J/+Cd//ACj/AP2GP+zO/wBmX/1SvgmvsSvwfF/73i/+wvFf+pOJP2nC/wC64X/sGw3/AKj4c1P7Yu/+eOl/+CPRf/lfWlY6rdNbawxi00GPTYnXbo+kICTq+lR4kVLFVlTbIxEcodA4SUKJI43Xma1NP/49Nc/7BcP/AKetHrnNw/ti7/546X/4I9F/+V9H9sXf/PHS/wDwR6L/APK+suigDU/ti7/546X/AOCPRf8A5X1pRardHSL6TytN3LqWlIANH0gIRJbawzFohYiN3BjXZI6M8YMixsqyyh+ZrUh/5Auof9hTR/8A0k1ygA/ti7/546X/AOCPRf8A5X1zGv8Aju70PVfBGmf2bpd1/wAJl4ou/Dfn/wBmaLB/Z32XwX4v8X/bfK/sib7Z5n/CK/2f9n8y12/b/tfnt9l+zXGnXMa/4k/sPVfBGmfYvtX/AAmXii78N+f9o8j+zvsvgvxf4v8AtvleRN9s8z/hFf7P+z+Za7ft/wBr89vsv2a4wxEuSk5e19j+8oL2nJ7S3PicNDk5df4vP7Dm+x7f2n/Lu69HKqP1jGxpfU/r98NmU/qv1j6tzewyjNsT7f211b6l9X/tH2d/9o/s/wCq2f1qz7v+2Lv/AJ46X/4I9F/+V9aUuq3Q0ixk8rTdzalqqEHR9IKAR22jspWI2JjRyZG3yIivIBGsjMsUQTma1Jv+QLp//YU1j/0k0Otzzg/ti7/546X/AOCPRf8A5X0f2xd/88dL/wDBHov/AMr6y6KANT+2Lv8A546X/wCCPRf/AJX1pX2q3S22jsItNJk02V23aPpDgEavqseI1exZYk2xqTHEEQuXlKmSSR25mtTUP+PTQ/8AsFzf+nrWKAD+2Lv/AJ46X/4I9F/+V9H9sXf/ADx0v/wR6L/8r6y6KANT+2Lv/njpf/gj0X/5X1parqt1HcxKsWmkHTdHf59H0iQ5k0ixkYBpLFmCBmIjjBCRIFiiVI0RF5mtTWP+PuH/ALBeh/8Apl0+gA/ti7/546X/AOCPRf8A5X0f2xd/88dL/wDBHov/AMr6y6KANT+2Lv8A546X/wCCPRf/AJX1paxqt1Hq+qxrFppWPUr5FMmj6RK5C3MqgvLLYvJI5A+aSR2dzlnZmJJ5mtTXP+Q1rH/YU1D/ANK5qAD+2Lv/AJ46X/4I9F/+V9H9sXf/ADx0v/wR6L/8r6y6KAOm0fVbqTV9KjaLTQsmpWKMY9H0iJwGuYlJSWKxSSNwD8skbq6HDIysAQaPqt1Jq+lRtFpoWTUrFGMej6RE4DXMSkpLFYpJG4B+WSN1dDhkZWAIzdD/AOQ1o/8A2FNP/wDSuGjQ/wDkNaP/ANhTT/8A0rhoA+jKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiuM8GfEf4efEeLX5/h5488GePIPCniTUvBviibwZ4o0PxRF4b8X6MITrHhXX5NDvr5NH8SaULm3OpaHqLW2qWIuITdWsQlj3b2u67onhfRdX8S+JdY0rw74c8P6Zf63r2v67qFppOi6Jo2l2st9qer6vqt/Nb2Om6Zp1lBNeX9/ezw2tnawy3FxLHFG7hSlGMeeUoxg4RqqcmowdKcIVYVVOTjB0506lOpCopunOnUp1IVJ06kKk2oylN04xcqiqOi6cU5TVWM/ZSpOEVKaqxq/u5UnBVY1P3cqcan7s1aK+fvCv7Wf7K/joa2fBH7TH7P3jIeGvC+seOPEZ8K/GX4c+IR4f8F+HmiTX/F+tnSPEl5/ZXhfQ3nhTWPEF/5Gk6Y00S3t3AZEB9j8LeKvC/jjw7o/i/wV4k0Dxh4T8Q2MOp6B4n8Laxp3iDw7rmm3A3W+o6PrWk3F3pup2M6gtDd2VzPbyjlJGFVyy192WkYSfuvSNWVSNOT00jUlRrRpydo1JUasacqkqVWNKbrTVauUVqtZRjGcorXWUYThOSV3GE4TkownCct6isfxD4i8P+EdC1jxR4r1zR/DHhnw9pt5rOv+IvEOp2Wi6FoekadA91qGq6xq+pT22n6ZptjaxSXN5fXtxBa2sEbzTypGjMOQ8PfGL4ReLtd0jwv4U+Kfw48T+JvEHgax+J+geHfD3jjwzrWu638NdTnhtdN+IekaRpuqXOoal4G1C6ube2sfFtlbzaBdzzww2+oSSSorJe83GPvSW8Y+9Jfu6lbVRu1+6pVauqX7qlVq/wAKlUqU2/dXNL3Yu9pS0i7SpQdpO0XadajB2k7TrUYO0q1KNXC+If8AyGrX/sFwf+ld7XB13nxD/wCQ1a/9guD/ANK72uDoA/j5vv8Ag7Q+23t5ef8ADAXl/a7q4ufL/wCGqd/l+fK8uzf/AMM4Jv2b9u7au7GdozgVf+Isb/qwb/zaf/8AJyr+O+iv2D/VbIv+gH/y5xX/AMuPyv8A1kzn/oM/8oYb/wCUn9iH/EWN/wBWDf8Am0//AOTlVqz/AODtD7JK8v8AwwF5m+1vrbb/AMNU7MfbbK4s9+f+GcGz5fn+ZtwN+zZuTduH8ctFH+q2Rf8AQD/5c4r/AOXB/rJnP/QZ/wCUMN/8pP8AW+/Z3+LP/C+/2f8A4GfHT+wP+EU/4XR8Hfhl8Wf+EW/tX+3f+Ea/4WN4K0Txh/YH9t/2bo39s/2N/bP9nf2r/ZGlf2h9m+1/2bY+d9li9ir47/4J3/8AKP8A/YY/7M7/AGZf/VK+Ca+xK/JcTCNPEYinBWhTxGIhBXbtGFevCKu7t2jCKu227XbbbZ+n0JSnQoTk7ynQoTk7JXlOjRnJ2VkrylJ2SSV7JWSCtTT/APj01z/sFw/+nrR6y61NP/49Nc/7BcP/AKetHrE1MuiiigArUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcoAy65jX/En9h6r4I0z7F9q/4TLxRd+G/P+0eR/Z32XwX4v8X/AG3yvIm+2eZ/wiv9n/Z/Mtdv2/7X57fZfs1x09cxr/iT+w9V8EaZ9i+1f8Jl4ou/Dfn/AGjyP7O+y+C/F/i/7b5XkTfbPM/4RX+z/s/mWu37f9r89vsv2a4wxEuSk5e19j+8oL2nJ7S3PicNDk5df4vP7Dm+x7f2n/Lu69HKqP1jGxpfU/r98NmU/qv1j6tzewyjNsT7f211b6l9X/tH2d/9o/s/6rZ/WrPp61Jv+QLp/wD2FNY/9JNDrLrUm/5Aun/9hTWP/STQ63POMuiiigArU1D/AI9ND/7Bc3/p61isutTUP+PTQ/8AsFzf+nrWKAMuiiigArU1j/j7h/7Beh/+mXT6y61NY/4+4f8AsF6H/wCmXT6AMuiiigArU1z/AJDWsf8AYU1D/wBK5qy61Nc/5DWsf9hTUP8A0rmoAy6KKKANTQ/+Q1o//YU0/wD9K4aND/5DWj/9hTT/AP0rho0P/kNaP/2FNP8A/SuGjQ/+Q1o//YU0/wD9K4aAPoyiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvyB/al+Mf7WXxP/bv8CfsN/swfHPw7+y/a6b+z9qX7Q/xB+LOq/Crw38XPEPiGF/FVz4N0rwV4c8J+No08PTWsF19g1LULu21DS9RWKfULgalt0ZdG1r9fq+F/wBqf/gn/wDCX9qnx54B+LWpePvjl8D/AIxfDjStS8N6D8Xf2cviKvwy+Ic3hDVheteeENS12TRNfWbQGuNS1C5jjtbSz1CJ9Q1C3TUBYahfWlznaX1nAzacqFKvWliIRquk7zwOLo4OvK0Z+3pYHMamFx1fBtOOMo0ZUXCs4Qw2J0TXsMZCMo069TDwhhqsqSrRpzjjcBVrx5X8E8TgaONwlOuk3h6mIjVSXM6lH+eT4P8A7W3x8/ZJ/ZW/aB0XwIIr39oP45f8FZfi98I9T8SfDD4d/wDC1tQ0LUbrwz4SvvHHiT4O/CzWtZtbDxz4mbU7eO2+H/g7xRrn2LUpL+3s9VnkdZLmH0D4u/G39u/44f8ABPb9unwJ8ej+0B4R0b4YaV4B8ceHfjH8fP2NdE/Z38U/HPwBq969h42+D+r+CLDWdZ8DeFrzQ/E/9iapovi7wLr2sa/LodoP7ahtJdSa3j/XnRP+CQn7Kegfs9+Nv2cLHVPjD/wifir45TftEeHvF8njqwHxP+FPxP8AsGkaXpusfDXxpB4ZguLP+xNO0iO106fxZaeL9VnF5fXGs6nqt5JBc2/TeG/+CXPwC0D4FftCfBLUPHPx38c6h+1GNMj+NPx0+IvxB03xp8fPFkGgG3Xw1a3HjTWPCs2im38NW0Mllo8c/hS48u1u7oXZu52inhxxFGdbLsww0uStWlkmU4HBqcY08NKvgMi4IwNCjToJzjgoYDMcjz2tUcnPDY3C4rDUJRxlKrKjgtKVWFPMcNioRnQovO8zx1dKbq4iFDHZvn+Lq1a1Zu+Lq4rL8wy3CwinKvha9CvWU6FSNPG4j8WvB3hHxJ8DJ/i/8CdQv/hH4lsL/wD4Id/Gf4v3nivwZ+zJ8DPgv4nu9V8Y6vqFxZabeeIfAPhWLxjeWWk6Fd2Olapb3Pi2TSPFusaavjTW9FPia5kvE7b4BfFX9uP9j39mH/gm/wDHTUv2gPh/4+/Zw+Lfiz4LfA28/ZbtvhT4W0U+EvB/xBsNR07QfEelfF8Xt7478UeM47HSZPEutWU8+maRpPii8m0+PStS8MWMlnD+0fiH/gnn8FvEvjDX/G194n+KEWq+I/2MtQ/Yavre01rwpHp8Xwm1LHn+IbWKbwVPcp8REx+61aa7n8NL/H4Rkrwr4P8A/BG/9mX4P+Lfg/r1v8SP2nPiD4T+A2r2Hi34V/Br4m/GL/hIfgv4S+IVg0d7/wALH0nwNp3hrQ4tP8WXviH7X4r1BNOv7Pw3da9qV+7eHV0x4NMt/YVem80rYhtrDVcdl05ylD2sa2V5fxbx7mNbA1cI2lOtjOG86yTL8PiJOMsFi6tevzU62Bq4jEeY6M1ltOgkvrMMDKKjCSpOGZYjgrhzKniqOKSk6NPC8UYHGZjVpQi4Y3A4VYeMXRxlLCHw7efGD9uH4yeGf+CqXj7Xv2kfDdv8Bf2T/HH7XXw38N/BPVP2evgr4zj+Imn6F4J8Rnwz4f8AFuveJvDV1bL4T8Cv/wAI9fRWOpeG/El/46N5ruleMNTvNN+yxR9P+wzrl74m/wCCg37LviLUYNIttQ13/gib8HtXvbfw/wCH9A8J6FBd6j8Q/CV3cRaN4X8K6bo3hnw7pkcsrJY6J4f0jTNG0u2EdnpthaWcMMCfqToP7B/wh8O/Dz9rz4aWXiP4kS6F+2l42+KPjz4pXd1q/hh9W0DV/i3pJ0bxJbeAJ4fB8Fnpem2VqfM0SHxFYeKrq2n+a/vNSj/dU74O/sJfCL4I/Ff4c/GLwp4j+I+oeJvhj+yr4V/ZB0Cx8Q6v4Zu9Cu/hr4Q1bTNY03XNXtdN8IaTqFx45nutKt477UrLU9P0CWB5lt/DNtIySx8WWv6ssH7bV0Mpy6hWqfxK1TMHwPneUZvVqVXapW9tnuPwzjUnKUXhlKvRhRpRq0q/ZmDWIp46NHT2+PzOdGH8OlHAyzrgzGZZTjTX7ui6eDyfNnUjCEZ+2dJV51qlelKj6Xc2njLT9X8RD4ma94Y8XSXniLV7/wADP4F8Jar8Ok8O/Dm4uW/4Rnwr4sj8QeNfii3jPxtpDJfnXfH+jy+AtC8RC5s10/4a+FjYzNqDfO0X/oH6p/4OLT/5R11HxD/5DVr/ANguD/0rva4OkI/x36KKK/oA/DwooooA/wBW7/gnZLpA/wCCfn7CwlsdSeQfscfsxiR49VtY0Zx8FPBG9kjbR5WjRmyVRpZCoIUyORuP2N52i/8AQP1T/wAHFp/8o6+J/wDgnf8A8o//ANhj/szv9mX/ANUr4Jr7Er8Hxf8AveL/AOwvFf8AqTiT9pwv+64X/sGw3/qPhzU87Rf+gfqn/g4tP/lHWlYy6QbbWNljqSqNNiMobVbVi6f2vpQCxsNHQRuJDG5dllBRXj8sNIssfM1qaf8A8emuf9guH/09aPXObh52i/8AQP1T/wAHFp/8o6PO0X/oH6p/4OLT/wCUdZdFAGp52i/9A/VP/Bxaf/KOtKKXSP7IviLHUhGNS0oOh1W1Ls5ttY8tlk/scKqKolDoYnMheNlkjEbLLzNakP8AyBdQ/wCwpo//AKSa5QAedov/AED9U/8ABxaf/KOuY1/xTouh6r4I0z+w9Uuv+Ey8UXfhvz/+EgtIP7O+y+C/F/i/7b5X/COTfbPM/wCEV/s/7P5lrt+3/a/Pb7L9muNOuY1/xJ/Yeq+CNM+xfav+Ey8UXfhvz/tHkf2d9l8F+L/F/wBt8ryJvtnmf8Ir/Z/2fzLXb9v+1+e32X7NcYYiXJScva+x/eUF7Tk9pbnxOGhycuv8Xn9hzfY9v7T/AJd3Xo5VR+sY2NL6n9fvhsyn9V+sfVub2GUZtifb+2urfUvq/wDaPs7/AO0f2f8AVbP61Z9352i/9A/VP/Bxaf8AyjrSll0j+yLEmx1IxnUtVCINVtQ6uLbR/MZpP7HKsjKYgiCJDGUkZpJBIqxczWpN/wAgXT/+wprH/pJodbnnB52i/wDQP1T/AMHFp/8AKOjztF/6B+qf+Di0/wDlHWXRQBqedov/AED9U/8ABxaf/KOtK+l0gW2j77HUmU6bKYguq2qlE/tfVQVkY6O4kcyCRw6rEAjJH5ZaNpZOZrU1D/j00P8A7Bc3/p61igA87Rf+gfqn/g4tP/lHR52i/wDQP1T/AMHFp/8AKOsuigDU87Rf+gfqn/g4tP8A5R1parLpAuYvMsdSZv7N0cgpqtrGAh0ixMSlW0eQl0jKJI+4CR1aRY4lYRJzNamsf8fcP/YL0P8A9Mun0AHnaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdZdFAGp52i/wDQP1T/AMHFp/8AKOtLWJdIGr6qJbHUnkGpXwkePVbWNGcXMu9kjbR5WjRmyVRpZCoIUyORuPM1qa5/yGtY/wCwpqH/AKVzUAHnaL/0D9U/8HFp/wDKOjztF/6B+qf+Di0/+UdZdFAHTaPLpB1fShFY6kkh1KxEbyarayIrm5i2M8a6PE0iK2CyLLGWAKiRCdwNHl0g6vpQisdSSQ6lYiN5NVtZEVzcxbGeNdHiaRFbBZFljLAFRIhO4Zuh/wDIa0f/ALCmn/8ApXDRof8AyGtH/wCwpp//AKVw0AfRlFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjfxD/5DVr/ANguD/0rva4OvT9X+OHwW8P/ABF0b4Qa98X/AIXaJ8WvEdvBeeHvhdq/j/wnpvxF160ulvWtrrRvBN5q0PiXVLe4XTdRaCex0yeKVbC9MbMLWfy/S7i4gtIJ7q6nhtrW2hkuLm5uJEhgt4IUaSaeeaRljihijVpJJJGVI0VmZgoJpOUVT9s5RVH95+9ckqX7lyVb962qX7lxkq37z9y4yVX2TjJRaTc/ZJN1f3f7pJup+9SdL92k6n71Si6X7v8AeqUXS9opJv8Akm1H/g1m/wCCflnqF/aRfGH9sdo7W9ureNpPiD8FC5SCeSJC5X9ntVLlVBYqqgnOFA4FL/iFv/4J/wD/AEV/9sT/AMOB8Ff/AKHyv6bv2a/E/wCzdqHwq8KeA/2WfiD8NPHfwq+DXhrwp8KvD1t8MviVpXxS03whoXg/w5p2jeF/DGo+IrDxF4n1CS+sPDllp0aSeINWu9bvrdUvr65u555LmXrfBHxw+C3xN8Q+KfCXw3+L/wALviD4r8DXEln428M+CPH/AIT8WeIfB13FfXOmS2vinRdB1a/1Lw9cRalZXmnyQatbWkqX1pc2jKJ4JY09r+3885lD+0sZzuk6yheHO6Ks3WUPq3O6KUot1lB0kpJuqk035H9iZNy8/wBQwnIqioudpcirNtKk5fWOVVW00qTkqraaVNtNL+WT/iFv/wCCf/8A0V/9sT/w4HwV/wDofKu2H/BrN/wT8up5IpPjD+2OFWy1G4BT4g/BQHfZ6fdXcQO79nthsaSBFkGAShYKysQw/rfopf6wZ3/0M8X/AOBU/wD5QP8AsPJ/+hdhv/AZ/wDy8+Fvgz8LfD/wN+D/AMKfgp4TvNZ1Hwr8Hvhr4F+FvhnUPEVxZXfiC+8P/D7wvpfhPRrzXbrTdP0jTrnWbnTtItp9TuNP0rTLKa9eeS10+ygaO2i9Jr6gqG4uILSCe6up4ba1toZLi5ubiRIYLeCFGkmnnmkZY4oYo1aSSSRlSNFZmYKCa8epUu6lWrNK/PVq1JyjFL46lSpOUnCMUv3k5yk4xilKUnGMW4+rCFuSnTi9OSnThBOT+xTpwhFKUpP4IRilKTfLFKUmlL5lrU0//j01z/sFw/8Ap60evQfhl8aPg78a9N1HWfg38WPhp8WtH0e+TTNX1b4ZeO/C3jzTdL1J7dLtNO1G+8K6rqtrY3z2ssdylpcyxXDW8iTCMxurHj/jp4j/AGcfBM3wp+IX7RHj74b/AA4T4c/ES+8VfCrxN8TPiRpfw30mx+Iup/DP4h/Da8ewuda8Q6BpPiHUZ/ht8Q/iDpg0PUxq1pHbanPrcOmpquj6ZqmnE/3fL7T93zcnLz+5ze1/h8vPyc3tLP2fLze0t+79oEffvye/y8/Nye/y+z/ic3Jzcvs/+XnNy8n2+Q5qivoubXdDttDm8TXGs6Vb+G7fSpNdn8QzajaRaHDocVodQl1mbVpJlsI9KjsFa+k1F7hbRLRTctMIQXql4S8YeEvH3hvSPGPgTxR4d8a+EPEFqL7QfFXhLW9M8R+G9bsjI8QvNI1zR7q80zUrUyxSRi4s7qaEyRugfcjANxkpVIOLU6TSqwaanScp1KUVVg0pU3KrRrU4qpGm3UpVaaTqUqtOmlKLjCSknGom6ck041EoU6jdOSbjUSp1aVRunKaVOrSqNqFSnOp4DWpD/wAgXUP+wpo//pJrlfRlFIZ8v1zGv+JP7D1XwRpn2L7V/wAJl4ou/Dfn/aPI/s77L4L8X+L/ALb5XkTfbPM/4RX+z/s/mWu37f8Aa/Pb7L9muPseuN8ffEb4e/CrwzeeNfih478G/Dfwbp01nb6h4t8feJ9E8H+GbGfULqKysILzXvEN9p2lWs19ezw2lnHPdo9zdTRW8KvLIiHOtf2b5asaL5qX7ySi0l7ajeFpyjG9aPNQjrdSrxcFKahGXTg50addSxGFeMpeyxUXh41KlJuc8FjadCrz0oymlhMRUw+OcUuWpHBSo1HGlWqzj4jWpN/yBdP/AOwprH/pJode3eFvFXhfxx4d0fxf4K8SaB4w8J+IbGHU9A8T+FtY07xB4d1zTbgbrfUdH1rSbi703U7GdQWhu7K5nt5RykjCvGbnxf8AszeDf2h7+11H4kfC7w9+0v8AFfwJ8PPBMngzV/ifo9j8RfGHgX4ea18VPE3w/stG+GupeI0vLi30zWPiT8Ur6DVtC8Npf6uuo3sGp3+o2nh/S4NJ1cZKpGk4yVWUnCNJpqrKcYucoRpNKpKcYJzcY05SUE5uKgnNcqlFwdVSTpRipSqJp04xcuRSlUTdOMXNqClKpGLm1FScmovDor0T4i/H/wCA/wAH9V0LQvi18bPhH8Ltb8UI8nhnR/iL8SPBvgnVfEUcdzFZyPoWn+JdZ0y71dI7ueC1dtPhuFW5migYiWRFPrlJe9Hnj70FOdJzj70Pa00nUp86vD2kFKLnT5vaQUoudOClFtvSXI9J8kanI9J+zm2oVOV2l7ObjJQqcvJNxkoTk4tL5frU1D/j00P/ALBc3/p61ivoyigD5for6gry7x58cPgt8LNa8L+G/id8X/hd8OfEXji4Nn4K0Hx54/8ACfhDWvGF2t3Z2DWvhfS/EGradfeILhb7UdPsjBpMF3KLu+s7cr511Aji1lCC1nUnGnTgtZ1Kk9IU6cVeVSpNpqFOnGdSTTUYSaaQ9Izk9I04SqVJPSNOnHWVSpJ2jCnFaynOUIRWspxWp5hWprH/AB9w/wDYL0P/ANMun19GV89/Azxf+zN5vjj4Xfs//Ej4XeJtR8MeO/iX42+IfgzwR8T9H8feIfCvjr4q/FDxj8Q/iNe+KdOg8R6/rnhq41v4n+J/GN9JpOorYWGj309zoGjWGmabplrpVkL3pckfenySqckdZ+zg0p1ORXl7ODlFTqcvs4OUVOcHKKY9I8z0jzxp8z0j7Sd3CnzO0faTUZOEObnmk3GErO2HRXpGi/Hr4GeJPiJq/wAIfDvxn+E+v/Fjw+L5te+F+i/EXwfqvxE0RdMMK6kdX8FWOsT+JdNGnG5txfG80yEWhuIRceWZU3esULWEKi1hUTlTmtYVIqTg5U5q8KkVOMoOUJzipxlByUoyjEekpQek4NRnB6ThJxUlGcHaUJOMoySnGDcZRkk4tSfy/Wprn/Ia1j/sKah/6VzV9GUUAfL9FfUFeXab8cPgtrPxI1X4OaR8X/hdqvxe0K3kvNb+Fem+P/Cd98SNGtIbezvJbrVfA9rq0vifTreK01HT7qSe70uGJLe+s52YRXUDOLWUYLWclOUYLWco0489SUYK85Rpw9+pKMJRpw96o4R94HpFzekIuEZTekIyqS5acZTdoxlOXuwUpJzl7sFOXunCaH/yGtH/AOwpp/8A6Vw0aH/yGtH/AOwpp/8A6Vw13vxs0T4V+J/g58VfC3xyutDs/gv4r+HfjLwr8WLjxN4lk8GeH1+HXibw/qGheMk1nxbBquh3HhrTp/D+oX8F1rlrrWk3elxSNeWupWVxDFcR7Xw/+JPw6+LHhq28Z/Czx94K+Jfg+8uLuztPFfw/8VaF4y8NXV3YTNbX9rba74dv9S0ue4srhWgu4IrppbaZWimVHBUC95zUfedNQlUUfedONRuNOVRRu6cakk405TUIzknGDnJNIfu8jl7qqOUabloqkoJSnGDdueUItSmoc7hFqU1BNN9rRXIaV8QvAOu+LvFPgDQ/HHg/WfHfgaHR7nxr4J0rxLouo+LvB9v4htft+gT+KfDdpezaz4fh1yx/0zR5dWsrRNTtf9Ismnh+euvo3UZLWM4qcJLWM4NySnCSvGcG4TSlGUotwmlJuE1EejlF6Si0pRekotxhNKUXZxbhUpzSkotwqU5pOFSEplFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfx2fFvwT4O8Y/sef8FaP2p/FugaPd/tM/Dr/gold6b4B+KV6ml3PxF8D6f4I+Jnwl0TwhonhXxUtuur6JpdppOr6nYxWGk3NrZ3VvZWSvDJ/Y9sYP2X/wCCxPjLxlpf/BK74uazaNeaFrnijQPhJoniuOzvFtZ7TS/GHjbwZp3i/SpZXBkmtby0vr3RNQt42V7qyu7iGRjC8yP6T8SP+CUH7MfxQ+OGt/GfXdc+NOm6P408Z+HPiP8AE74A+HPiRJpP7OvxZ+IXhZpJNL8afEP4dDR7i51fXPP+yXN4bHxDpVheXNkJ5rBpNU8QHWPoTxb+x98P/iNd/tE2vxQ8a/GD4nfD/wDaS8O+HfDPiT4NeNfH0+ofCb4f2HhzTlsYrn4PeGbPT9Pu/h9qup3Udtr2rapZavd3c/iKzs9WtZLOe3jA54QlHJqGCnRp1J03w7Xngpy/2OUuGcj4by3E4NzileHFmJynHVsRW9m44SGMc8xjXxFSrKXXGtCOdvMLy9ksTnU1WUbYh0c/zerjaKUXdpcNYaaVGnOc3ipynSwCo00/afhT+0D4Z0H9kP8Aas/aG8Pfsn+FtI+Gvh7XP+CM/j7xr4h034crpnhfTYfFXhTX9b0rw18Rrm20m3t7KfxbFZ29rGPEU8Mmq31xql1qDXT3l9JcOvwD+GPw8+Bnxf8A+CDfi74I+C/Dvhjxb8cPgX8TbL40ah4VtNO0nU/iLp+ofBTwj4s1bVPHV1pkMF14nuNE8Qatq2rW1zrUl5NaSaZaWMciRaZbxQ/sF+zX/wAE3PgR+zdP8QdUbxP8Yvj74o+JXgW0+FGv+Mv2kvHcHxM8SW3wjsrMWUPwr0We20Lw5p2meBNmXk0iPTXlfENsbv7BZ2Nna4n7NX/BL39nv9mD4o6b8VvC3i345/EHVPBuh+IPC3wb8NfGL4my+O/BnwA8LeJ726udb8O/BvRX0bTJ/DunXtrdf2TLJq+oeIdRbTo23X7X9/q19qPo4epGjjMNUnUqVY0q0MbPFyjavOlDG+JuJeRSppp/Va0ONcr5qtOUMIquEzJew9nRyaVLypUpyy/6vyw9osC8udLm/d1q8sg4GylZ9Um00sTSxXDGOxsabjLGtVMvbxLxNXMah+jtFFFcx1BX5R/8FtfEniHwz/wTY/aBn8OXl3YTawfh74X1e5srtLOb/hGvE3xH8K6P4htJJCC8lpqml3dxpN/bRFHubG+uIHYwPMjfq5Xm/wAYPhJ4A+PHwy8afB/4paDD4m8AfEDQ7nw/4l0aWe4tWubK4KSRzWt7Zyw3mn6jYXcNvqGmajZzQ3en6ja2t7ayxzwRuOfFU5VKNo0qeIcK2DrvDVpclHFwwmYZdjquCqztJQpY2jga2CqSlGUYwxbc4ygpo68DWhQxdGrUcowi6ilOEeadL2uHxVCNaEbrmnQliIV4xTvJ0bL3nFP8cPgn8M/h9+zr/wAFffDfwz/Z+8F+HfAvw48df8E5tI8R+PPDngmz07RPD93rnhz4oyaToHjbVtL0aG1sr/xFdWdvaWE+uXUMmoai2tXl/cXE099PNJP8b/hx8Pv2iP8Agshp/wAKfj54T8O/EL4Y+Cf+CeviTxd4N8I+OLTSNe8M2XirxJ8UotA1/wAT2Oi6ra3Fpba9HoxZItUaNtQsn0jT9TtLi3fTLWSH61+Bv/BMv4Q/AXSPiufD/wAYf2nvFvxI+K3w2j+ET/Hr4g/FyLxB8bfh18O7TT/sejeGvhR4utPDGkWHguy8PXKw6xoTQ6DezWOqWmnt5kthp1hYW7vjV/wTP+Enxz8P/B6DxD8ZP2ofDHxL+DXgW5+Gmm/tC+BPi9HoPx68ceBdT097HXvDfxO8bXPhnVLHxhZeI5nbVNaebQLS6uNQlvRb3Frp+raxYahrj4vEUsNCMniJYbD8SUFVxHuT5+JqXHccNXhy+7CXDcuIMscVH2csQ8TmTymeG+pYFrgwUJUaOIpSm6E8RheH8O61H3pqpw7S4MjiMTO9lOfEE8kzByUud0HQwDzSWJWLxZ+UH7PXwl+If7SP/BE7wrb658b/AIl/Dz4bfCfwN+1Zda14S8FTWFvqHxu8OeBdU8Zv8OPC3iTxrepd6tpXw50GfS9Q8P6/4S0m2+z+L9BEWlT3emf2bY3Uf6zf8El/+UcX7JH/AGS2D/0+61X0f4b/AGY/hN4K/Zrk/ZR8EaVfeEPhIfht4h+F9vaaNepJrdnofijS9S03W9Ui1TVrfU0ufEl9Lq+oavcapqVpfpc6zdS3l1a3CO8Dbn7PHwM8Jfs0fBT4dfAjwJqPiLVvCHwy0BPDug6j4tu9Mv8AxJd2SXd1eCXV7zR9I0HTJ7rzbuRS9no9hD5aoBAGDM3dUrQ+t8QThKc6OY/6vSoVJx/e4nEZY8dRx2KxCbcqUq1H6rUpU3J0qar1aFClQtiHVhwc6eVydKnQnhcTxHUlh6Ur0cFg82qUsXgsDh2lGFSGFrVa2HnUjCMprCUKspypfVqVH2eiiiuQ3CvxY/4KEeHtB+Kn/BQn/glv8EfidoeleL/g14l139o3xf4i8DeKLfTdX8HeKfFXg74Zw3XhVfEHhvVLe5sdaGnXE0iW1vqMNzaTxape2SwN9ruFk/aevlL9q79jz4YfteeH/BuneN9e+JHw/wDFvw28UR+MPhn8W/gz4vbwH8V/h3rrRpbajceE/FP9n6tBZxa1p6DT9Vt7vS76KSJbe8tVtNWsNN1GyjWOKy7EOlGvDB5jRxVWhJwj7SmsNmmG5o+1jOk6uFqZhQx9CNWLhOtgYxvCo6M42rSw+YUPaOjPGZbi8JSrxU26NWs8HOEmqco1FCosLUw1SUJKUaeKcldKaPiD/gj/AG6+GdP/AG8fhZ4eslsPhb8Kf2+/jr4V+F2n2swfR9B8PCbSbmbwvoNtGRbWGk6TM0V5DaWiRwJNrE7qgZ2J/Hj4t+CfB3jH9jz/AIK0ftT+LdA0e7/aZ+HX/BRK703wD8Ur1NLufiL4H0/wR8TPhLonhDRPCvipbddX0TS7TSdX1OxisNJubWzureysleGT+x7Ywf0T+Bf+Cf3ww+Fnwm+Gvwi+FnxS/aG+G2m+Avi9afG3xL4v8G/FFtK8f/HLxp5s0/iCP46+Izoc6eOfD3jWWSE+LtBt7DQ7K/jsNOtrIaba2cUI84+JH/BKD9mP4ofHDW/jPruufGnTdH8aeM/DnxH+J3wB8OfEiTSf2dfiz8QvCzSSaX40+Ifw6Gj3Fzq+uef9kubw2PiHSrC8ubITzWDSap4gOsVCDWIy5vE1IywuUZDkssyhGUsXQq5LivD/AB9fO8PCq5TlUx64azPLIYeU44uMaGWVsbUq4XGZhSbVWMY4uX1aEoV87xeef2c3TWHxFDFR4swqyPESUHQVPlzjB5jWrRoSwXPisxoUKHt8Nhp1Pgf/AIKB/B79mrTLn4galrPw11n9p7/goX/wUG+GHg74d/Bn4I+I7XwT4qu/g5faV4Jm8PSfED4fzP4Z0zUvhB4Q8IP9r8ReJfG2ueIrmXUdV8OXMsWraXolj4y1XSP21/Zg+GHib4Kfs5/A/wCEfjPxKfGHiv4bfC7wX4M8Q+JPMnmi1PVfD+g2WnXj2k10FuptPt5YGtNOmukjuprC3tpLmOOZnRfiP4tf8Enfhr8Vv2i/HH7UVt+1L+238JPir490yx8P6jffBD4zeFfhxaaX4U06y0iztPB+iTaf8MbnX7bwsh0PTr6XSLzXtQguNUh/tG4Mt1tkX9Ffhd4D/wCFX/Dzwf8AD3/hM/HvxE/4RDQ7PQ/+E4+KPiL/AIS34h+KPsaFP7X8YeJfsen/ANt65dZ3XmofYrbz3APkr0rWhUisJioqlHBzxeMp1/qFJuphMJhqGIzt4DBYKUWoRWEoZpWrY3GV1Ux2Z4vG8k6/1XLqEKvLKlJVcDF1Hilg8AsPPHVLxxOLxlTBZJQxmLxCqOdX2dZ5Rh8PgcHSmsPg6GGqYqtCePzCpUp97RRRWZsFfzE/HT4Z/Dn48/tE/wDBdDxB8b/Cfh3xnr3wK/Zl+HNh8FL7xbbaRrN78OLKL4J+MvGkWp+BZ722lm8L303ivTrDUXvtKa11BZ9SvrWe5catdJP/AE7V+c/7Tf8AwTE+AH7UvxNu/ir4n8X/ABz+G+u+KPDGmeCPi3pPwX+Jb+AvDPx58FaNe2t3pfhT4xaT/YurN4k0myht30yM6ZdaDqEmm3CxT38s+maDcaTx4nDzrzai4RVbLc5y1V5N82BrZph8tpUMypxinUnLC/Ua9GpGg6eK9hjqrw1RT9pCp14evCjG8oyk6WYZJmDpRStjKOU5nLHYnLpyk1ThDH0pKlzVlOgpRtXi6fLbyvTPiX8SY/8AgidD8T2v9WtfiVB+wHLrcGu/2ky64dStvhDIll4oGqXHmSjVLm0jg18XZY3Bupg8TrOUcfnB8DPhv8NPgH8V/wDghF43+DnhLwx4O8R/Gj4CfFKH446z4bh0zQrzx7o938EfCXjDXNb+IGo6fHaz+IX8P65qusazFfa7PdSWB0q1tFmjh0u3jg/fOP8AZY8EQ+OLPxDB4u+KEPw5svgX/wAM+Rfs0x+L1/4Zqk8GDdbrq1x8MX0xxN4xTRWHhhdffWTnw6q6c1mxBmPzv+zd/wAEuP2dv2ZvibYfFDw54p+OHxGv/CWgeIvCXwg8LfGb4lP4+8EfAXwl4ru7ufXvDPwf0KXRtNl0DS9Qs7ttHnbWb/xFqEmmI4kvnvr/AFe+1H1a1dVs6zHM4xUI43HxzGHtk5VPZ4Ohx7gllWLWHcZSw+dS4kyvNcZPCVI0aE55nh5wnisNl1deXToOnk+Cy2X7yWFweMwVRQajSnPM6HC7jjqLrRajVyKeT4zDYRVKaq13DAV8M8PQq4mnT/Lj41fAz9nX4B/tH/8ABPD9oj9nnwz8DZf2OtR/aZ03w1F8XPgJ41vviD+0J4z+PPxLvPHNgV8cfFnxHq3jGz+IHwPstb0a2sNc0S18Y3niLSi/jPSbK3tS9jar/TPX5cfD/wD4JEfsq/Dn4xaD8U9H1j416l4X8FfELUPiz8Nv2dde+JUl/wDs3/C/4mX89tdjxr4F+HEWjWl3p2s2N3bm50/+0PEeqWMDyrE9lLa2Ok2+nfqPWNJwhl2Gwy51Kni8diY0p8knhaGKoZLCnhJ1aKhh8RPD1cvxFKhVwuHwmHp5ZRyrCrDqvRxFWe9bmqZhXxPutVMNh6FSsuZfW62HxmcVY4tUqnPWoOrhcwpvFwr1sRVr5pVzDFRqQw8sPSCiiioKMfxFdXVj4f129sU8y9s9H1O6s0DRoXureynmt03yq8SbpkQbpVaNc5dWUEH+Pz4TeDfCvh/9ib/gmZ+1p4a8M6PL+1T4/wD+CmGmxeM/iXbR6fH8SfHQ8XfFP4saP4k8L+JPFVvCmu6vo+raZo2k29xpN5eS2MYvby5jt4zq1y0/9jZAIIIyDwQehHoa/MzwN/wSf/Zi8AfHTS/jTpGt/Gi90Xwv8Qda+LXgD9nvW/iQ+o/s3/DX4o68sTX/AI+8DfDc6NDdaV4gW7FzqFmbrxFqGnWN1eFLTT4rPTdCtNJMH+4zWjip+7SjUyGs68ferUYZLxDVzrF4SFPScqWdYWpDAVZU6kIxlSj9ajUw3J7MxX77LauGguaq/wC2I+xlpSr/ANq8M47IsPVqTfNGLyvGYulmcE4SnL2C+rSp4r2c4eQ/8FklGveDf2KfhhrYNx8Nvi3+3v8As/eCfilpU11DBpfiHwhPf6tey6DrcEqkXulXV3awXssLt9mS40+2nnR2ihKfIGh/H/4ff8E3v2j/APgrzd+CPB3h/QvhN4Jsv2WNY+G/wu8OnSvCngW3+N3xL+H7afp3h7TNLszpugeFNM8Q6rcy6r4ru7WK0i0nw54YvrzYV02OE/rT48/YD+GHxW+Fnxe+EvxW+Jv7QPxM0T4qfFS7+MWi6540+Jzat4u+Bfi7z47rw9F8AtaGiQL4B8P+CbqN5fCeg3Fnrthax3N7Y6mmrabfXdlNF8Ff+Cc/7Mvwi8DeOvBXiXw7qf7Stx8UvF9h46+J/jb9q6TQfjp41+IPiTRLe4svDN94pvvEnh6LRrx/Cmn3VzY+H2g0K1ms4rm7nlmub+8vLyfDD06kKWMj7R4epiaeZznOlKXtMQs9y7gvBzwU61OLlSq5CsizmOCx3LWw8q2LwONwOHhy4qjU1rzpznhf3arwoLBUIRqJKnSllOeZ9m1PMI05yTnHNqWY4HC4rBxqUK6w9PHYbF4h06mHlH8jf+COuteFfCv7c37bnhrxD+0b8OfjV8S/ip4R+A/ji78XeHviF4Q8SWXxG+IOseF9f8efF6w+G9xomsX0HinQPhxr+v6j4fcaDLqC6Fo+k2i6gtgiCCH+l6viH4L/APBPL9ln9n/9oH4j/tG/C74c+H/DPjH4g6Z4b0qx0DS/CHw60bwV8LrbQNCk8P37/CLSvDvgnRtU8EzeNrSaWfx40OuXsfiS8keWaOGJ2hP29XdOpTlhcspQpqjLCZdSwc6EIxjRoKhisxlh6FDllJyp0MJiMNR53KXM6cHz1an1utX5YwqLFZhVnP2qxWLp4lVpOTrV6k8uyqli69dOMFGrXx2FxVaUYQhBOpUdOnRw7wVCgUUUVgahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9k=
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
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAHgAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigDx341ftEfs/wD7NnhrT/Gn7Rfxz+DvwC8HatrUPhzSvFnxq+Jvgr4V+GtT8Q3Fne6jb6Dp+u+Otb0LS73Wp9P03Ub6HS7a6kvpbOwvbpIGgtZ3j5z4Hftc/so/tO3HiO0/Zr/ad/Z6/aFuvB8Om3Hi22+B3xp+G/xZuPC1vrL3kejz+I4fAXiXX5NEh1WTTtQj02XU1tUvnsLxLVpWtZwnsfi//kUvFH/Yu63/AOmy6r8Lvgl8R/ij4f8A+Cc//BD34NfDH4q6p8BH/ai8F/s4fCDxX8bfDfh/4e+JPG3gvw/oX7Fnjz40Q6R8PLH4teEPiJ8Mbfxv4/174V6P4Ms9Q8cfDvxtpVt4f1XxKmm6LH4qn8Oappzw8ZVZYiDi51PrWT4PCU6UoUvaVs5lnMKXt6mIk4Rhh/7CxlSp7JOdeNWhRw9N4n2dPF61aajh8PXjNQi3m0sVKrGdRU6GUZXhs2r1KMMPF1Zzq0cVToU6bUuSrGdepNYZVXhf3zrnLXxj4RvvFeteBLHxV4cvPHHhvRNA8S+IvBtrrmmXHivQPDniu717T/C3iDWvDsN0+r6XoniW/wDCviiy0DVb6zgsNZu/DevW2nT3M2j6glv+B3gn9pH9qz44eLf2P/gAn7aGo/Cf/hNPjB/wU3+DHjP49+A/hl+zre/En4/aZ+xP8WbPwX8NPEfg2y+Jvw38a/CLwx8StW0fRNVufinceG/hHqPgfVl074qSeC/hv4SsZvBXiP4e+I/Dz/gpH+2F4w+HPipNW+L3h23udW8A/wDBOj4b6P8AHPQ/h58PLTwl4Wn/AGjf28/2qP2T/Hf7ZvhrR9Zg1DRbpfif8NPhv8OviL8PtB8XX/ib4T6J4q1fwvqNv4JvfB17rvh/Xnho/XJKOGftXUUJYWLvQlioYjFcOYDCVk8RGKw0auO4nyylOjjI08TGEq9XlcaHLiorx+qrEfWP3awkJyxc4qVeOGnQr5osVRcMPCdXE1KeDyXH4qDwqcKlqNCCni3iMLg/6gq89+Kfxb+FPwM8Eav8TfjZ8Tvh78Hvhv4fawTX/iD8U/Gnhv4feCNDfVdQtdJ0tNX8WeLdS0jQdNbUtVvbLTLBb2/gN5qF3a2VuJLm4ijfyv8AZrsvEfhmx+Jnw78X/tZf8NbeJPAHxDOl3niLxDoHwb8OfFz4c2us+DvCfiew+HPxmsvgRofgT4e3Xi2CPWZfFegajYfCT4UXs3w78U+DLXUvDeu31lP498XeKft5fDPxF43vv2QPGXgHW/gXN8Vfgn+1VpvxN+FXwm/aI8e33wz8AfHjxe/wS+Nnge68Bab410XwX8T/ABH4e8f+G/CHjLxT8XvBWq+HPhV8StTtb/4aXAk8NWely6j4r8NRUvGeEjCSlDE1svi6saNer7OhjPeqVYUIOFbEyoxTgo0JVYVJe0xFKeKwmFrOpVGKnLERqJwlQpY+Sg504c9bCYarWo0pVZRlTw8MRONFSq4inD6vTqXrwoycJn0J8Rf2rf2XPg/8N/CPxj+LX7SfwC+F3wi8fnR18B/FT4i/GL4d+Cfhv42bxFo8/iLw+vhHxx4l8RaZ4Y8SHXfD9rc67o40bVL06no9vPqdl59lFJOvsXhrxN4c8aeHdB8YeDvEGieLPCXinR9N8ReGPFHhrVbDXfDviPw/rNnDqOj67oOt6XcXWmavo+q6fcW99pup6fdXFlfWc8N1azywSo7fzZ/sjeCv2lPiPB8AfEnw0/aI/Yx+Gur/AA5+OX/BXT4seCvDfxD8K/EX4t6drPhzxD+1bL4B03xz8DfgN4a+N/wE1XXvg34E0zxH8UvBVh8Ubj4maRovh7Q/iX4FuofAjz+OXs9K/eb9lD413/7SX7MnwB/aA1TwlP4D1L4z/CHwB8TL/wAG3FxNeN4bu/GXhrTtduNJivbi00+4vrO1lvWSwv5rGzlvbL7PdPawNMYl2pwVTCyxKTi5PAYiFF1Kc5UcDmeCwmIwTq1KcXSxVWWInmOFqVsJUhQjLLoT+rQhj6NShlUU6VaNJunOMZYjDVKsFOHPjsNUxzqwjQqT9vhYLC4ShiYwrrEuccWofXfbYephn9A0UUVkMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI5oYbiGW3uIo54J43hngmRZYZoZVKSRSxuGSSORGZHR1KupKsCCRXkXij9nn4AeOPhDbfs++NPgb8HvF/wEstI8PeH7P4I+KPhn4L8QfCG00DwjJYTeE9Dtvhrq2iXfgyDSPDE2laXL4e02LRUstFk02wk02C2aztzH1vju6urPSLaW0ubi1kbUoY2kt5pIHKG2vGKF4mVihZVYqTglVJGQMeT/wBua1/0GNU/8GF3/wDHqUoxlGUJRjKE3Tc4yjGUZulJzpOcZRlGbpTbnScoydKbc6bpzbk6jOcXGUZzjKDlKEoylFwlOHspyg4yi4SnS/dzlBxlOn+7m50/3Z4t8YP+Cdn7OHxp8Wfs2QeMPhT8EdZ/Z+/Zx8AfFP4faT+y74l+BngTxV8HNW0rx4nww/4RWPTvCGqQ/wDCFeFtP+Gtx8M7K68P6RbeCtTthNdWr6dJoL6RC919QX3wJ+CGp6Z4p0TUvg38KtQ0bxz8O9F+EHjbSL74eeEbvTPGHwm8N2+v2nh34X+KbCfR5LXxB8O9AtfFfii20XwTq0V34a0q38Sa/DY6ZBHrGorc+O+JfjZ4H8O3Vno2t/FvwpoWt2dgv9qaVqvj3SNM1W1nuLy9urb+0LG71aC7gln02exuYPtMSvLYzWk0e63khY87/wAND/DT/ouXgb/w5mgf/LuvWpcP59Ww83SyHPcThsdWxWYVKkclzvFUsbVzP2FTE4qpWWUYmGNWKhQoRVSpVxcJYeMaNOpLDP2T8ipxDkOHrqNTP8iw2JwlOhglTlnmS4WthIYCrVqUcNGk85w9TCSw+Jq1KzpRpYaccWliKlOOLpQr0/o74S/Bf4O/AHwVZfDb4E/Cf4afBX4dabd6hf6d4B+EvgTwt8OPBWn3+rXT32q3tl4V8HaVo2hWt3qd7JJeahcwWEc17dSPcXLyyuzmT4sfBz4RfHrwRqXwz+Ofwr+HHxn+G+s3GnXWsfD74seB/DHxF8EatdaPfwappNzqXhTxfpesaDfXGl6na2uo6dNdWEsllf20F5bNFcQxyL82/wDDQ/w0/wCi5eBv/DmaB/8ALuj/AIaH+Gn/AEXLwN/4czQP/l3WlThziOtf23DvENW/s7+1yDPat/Zez9lf2uSVL+y9jR9le/s/Y0fZ+z9lS9llT4k4bpfwuIuHaVue3suIMhp29p7T2lvZ55Tt7T2tX2lv4ntavtOf2tT2nqnxH/ZG/ZR+MXgXwN8L/i7+zF+z18U/hn8MEsI/hr8O/iP8Fvhv448C/DyPStJXQdLj8DeEfE3hrVNA8JJpuhImi2CaBp+nrZ6Si6dbiOzUQj6CjjjijSKJEiiiRY4441VI440UKiIigKiIoCqqgKqgAAAV8car+0P8Lv7U1L7N8cvAP2b7fefZ/I+Jnh3yPI+0SeV5Pl635fleXt8vZ8mzG35cVQ/4aH+Gn/RcvA3/AIczQP8A5d1T4f4ml7TmyDiOXtq9TFVubIuIJe2xVWMYVcVVvkz9riasIQjVxNX2uIqxhCNTEVIxjGKXEXDKVNLiDhtKjSjh6KWfcPpUcPGXNGhSSzpKlQjL3o0KSpUYy96NGMvePtmivib/AIaH+Gn/AEXLwN/4czQP/l3V+z/aH+F32fVfN+OXgHzPsEf2bzPiZ4d3+f8A2ppu7yN2t7vN+zfaM+X8/kedn93vqf8AVziP/oneIf8AwwZ7/wDOQf8ArJw5/wBFHw9/4kGQ/wDz8Psqivib/hof4af9Fy8Df+HM0D/5d0f8ND/DT/ouXgb/AMOZoH/y7o/1c4j/AOid4h/8MGe//OQP9ZOHP+ij4e/8SDIf/n4fbNFfE3/DQ/w0/wCi5eBv/DmaB/8ALur8n7Q/wu/suz2/HLwD9p+36l5uPiZ4d8/yPs+lfZ/MxrfmeV5n2nyd3yb/AD9nzeZR/q5xH/0TvEP/AIYM9/8AnIH+snDn/RR8Pf8AiQZD/wDPw+yqK+CNI/ad8A6lqHimzuvi14Q0yDQNet9I069uPibopi8Q2U3hjw5rsmsWQk1G3QWsGo61f6A4glvovtuh3ZN0k5msrPe/4aH+Gn/RcvA3/hzNA/8Al3WVHIs+xFNVaOQ5/UpudWCnDIc9cXOhXr4atG6yVq9Ovhq9KSvdTpTi0nFxj1YzN8ly/EPC4zPcgoYiNLCV3SnxBkHMqWOwOCzLCT0zy1q2CzHBYiP9zEQvrc+2aK+Jv+Gh/hp/0XLwN/4czQP/AJd1f1L9of4XfaI/s/xy8A+X9g0rd5PxM8O7PP8A7Ls/tOdmt7fN+0+b5+fn8/zPM/ebq1/1c4j/AOid4h/8MGe//OQ5f9ZOHP8Aoo+Hv/EgyH/5+H2VRXxN/wAND/DT/ouXgb/w5mgf/Luj/hof4af9Fy8Df+HM0D/5d0f6ucR/9E7xD/4YM9/+cgf6ycOf9FHw9/4kGQ//AD8PtmivjXTf2h/hd9ok+0fHLwD5f2DVdvnfEzw7s8/+y7z7Njfre3zftPleRj5/P8vy/wB5tqh/w0P8NP8AouXgb/w5mgf/AC7o/wBXOI/+id4h/wDDBnv/AM5A/wBZOHP+ij4e/wDEgyH/AOfh9s0V8Tf8ND/DT/ouXgb/AMOZoH/y7o/4aH+Gn/RcvA3/AIczQP8A5d0f6ucR/wDRO8Q/+GDPf/nIH+snDn/RR8Pf+JBkP/z8PtmivjWP9of4Xf2Xebvjl4B+0/b9N8rPxM8O+f5H2fVftHl51vzPK8z7N5235N/kb/m8uqH/AA0P8NP+i5eBv/DmaB/8u6P9XOI/+id4h/8ADBnv/wA5A/1k4c/6KPh7/wASDIf/AJ+H2zRXxN/w0P8ADT/ouXgb/wAOZoH/AMu6P+Gh/hp/0XLwN/4czQP/AJd0f6ucR/8ARO8Q/wDhgz3/AOcgf6ycOf8ARR8Pf+JBkP8A8/D7Zor411L9of4XfaI/s/xy8A+X9g0rd5PxM8O7PP8A7Ls/tOdmt7fN+0+b5+fn8/zPM/ebqof8ND/DT/ouXgb/AMOZoH/y7o/1c4j/AOid4h/8MGe//OQP9ZOHP+ij4e/8SDIf/n4fbNFfE3/DQ/w0/wCi5eBv/DmaB/8ALur+lftD/C7+1NN+0/HLwD9m+32f2jz/AImeHfI8j7RH5vneZrfl+V5e7zN/ybM7vlzR/q5xH/0TvEP/AIYM9/8AnIH+snDn/RR8Pf8AiQZD/wDPw+yqK+Jv+Gh/hp/0XLwN/wCHM0D/AOXdH/DQ/wANP+i5eBv/AA5mgf8Ay7o/1c4j/wCid4h/8MGe/wDzkD/WThz/AKKPh7/xIMh/+fh9s0V8waN43PiLTbbWfD/i467pF5532TVdG1/+09Nuvs88trcfZr6yu57WfyLqCa2m8qVvKnhlhfbJG6jttC1XVJvI83Ur+XPiPw7AfMvLh8wT/wBqedCd0hzFN5cfmxn5JNibwdq48mpTqUalSjWp1KNalOVOrSrU6lKrSqQbjOnVpVYUqtOpCScZ06lOnOEk4zhGScV69OrTrU6dajUp1qNWEalKtRqU61KrTmlKFSlVpVKtKrTnFqUKlOrUpzi1KE5Rak/aaKKKgsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorK13XdE8L6Lq/iXxLrGleHfDnh/TL/W9e1/XdQtNJ0XRNG0u1lvtT1fV9Vv5rex03TNOsoJry/v72eG1s7WGW4uJY4o3cKUoxi5SlGMYpuUpSUYxS3cpScYxS6uUkl1aHGMpSjGMZSlJqMYxTlKUpNRjGMYqUpSlJqMYxjKUpNKMW2k9WivD/AAn+03+zb498V6b4D8C/tB/A/wAaeONY0iHX9I8GeE/ix4C8R+K9V0K40iPxBb63pvh3R9fvNXvtIn0GWLW4dStbOWzl0iWPUkmazdZj8+fs/wD/AAUT/Z0/aE8b/tJeEfD/AI28E+HrX9nHxBrVhqesa98SPAwPirwd4S06zn8Z/FzS7Gy1i4jsvhPoOp3g03/hNrjUZ9LdBFc6rJodxMNOR39909prC4rHNS91LCYKpQpYrEOU+SCpUauJo0py53apKUNHSr+wX2Odax+sYTC3j7z+sY6NSeDo8seaXPiIUpTpLl9+DpSi5Kvh/rH3nRXlvww+OXwT+Nttq958GPjD8LPi7aeH57S2166+GHxB8JePrbRLnUI55bC31efwpq+rRabPexWtzJaRXrQyXMdvO8KusMhX43+P3/BSX4NfCvxR8DfCXwu1r4ZftCax8VP2nPh7+zZ42sPAPxo8K3Op/B2/8f3esWMHiDxTpnh7T/Gd0byyutC1S3i8L6sPDE2o3Gn6hAmr2sljcKlRjKVfD4ZRl7fF1cNRoUnFqdSWLq+ww87NJxoVKrUPrM1HDRcoc9ePtKfOnKKo4jEuUfYYSjiq+IqppwpwwdCpicSm02pVqdGlUn9Xi3iJ8ko06EprlX298Q/+QLa/9hSD/wBJL2vG69k+If8AyBbX/sKQf+kl7XjdSM/DH9sX/k474i/9yj/6gnhivmWvpr9sX/k474i/9yj/AOoJ4Yr5lr/V7w6/5N/wP/2SPDn/AKqMIf5NeI3/ACcHjn/sr+I//Vviwooor7I+MCiiigAooooAKKKKACiiigBAckj0OP0B/rS0gOSR6HH6A/1pa8zJ6/1nAQrfXv7Rvis1p/W/q31Tm+r51nWF+r+wsrfUPqv9me1t/tP9mfXLv65zS93iXCfUc3qYb+yf7E5cv4frf2d9d/tHk+ucLcL4/wCufWuaXN/bH1/+3vYX/wBg/t3+zbR/s3liUUUV6Z4QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH7nfsdf8m4/Dr/ALm7/wBTvxPX2F4e/wCXf/saPDH/ALlq+Pf2Ov8Ak3H4df8Ac3f+p34nr7C8Pf8ALv8A9jR4Y/8ActX+UPiL/wAnA44/7K7iP/1b4s/1l8Of+TfcDf8AZIcOf+qjCHvFFFFfGn2YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXy1+3J/yZZ+1z/wBmzfHX/wBVj4nr6lrgfir8OtE+L/ww+I3wn8S3Wq2Phz4neBvFnw/1690Oe0ttatNG8Y6Ff+HtTudIub+x1Oxt9TgstQmlsJr3Tb+1iulie4srqJXgfizKhUxWXY7DUVF1cRha1GmpSUIuc4xUVKTTUVdO7aaXY7Mur08LmOX4mq5KlhsfgcRVcYuUlSw+Nwleo4xTTlJU6M3GKacpJRTTkmv4+Pg/P+y78TfhL/wS8+DP7K3wc1Pw1+354Y+N3wf+IfxQ1+w+FWveEfG+nfDrS7vV9a8e/Enxv8U28NQWfjT4beJLW40nxT4Xkg8Q6/Bp3hiXT7WO30f7P/Ydz6Lr3hX9mLRB/wAFmP2b/FPw/wDFvg34w3fxS1nx34Vg+BHwH0XxL8UvDn7Nth4o+HXiy51Lw1bXmo/D3w7ffCjT9Th8OeKvF/w+PxC8Ox6p4Wml8SaVp902nSX+n/1S/AX4M+F/2d/g18N/gf4Kv9f1Twn8L/Cum+ENA1DxTdade+IrzTdLjMdvPrF3pOl6JptxfOpJmlstJ0+3Y/ctoxxXrdeljuStiMZOhNuGKlnUpylCdOKlmf8AqjPDLCUY1FLAYbC1eEsNOthoVKv1mrjcfWg6NSpQ5vPwLqUKWE9pHlqYX+yHBRnGpJvLsVxHiK31qvKEljqtWPEmJo4avUpxWGo4XLqVSNeFHERl/HD+wDeePvHV7+3h4L/Z30z4KfGXWfEn7F/xQ0zQf2mP2cvg58R/2cLuw8RXkk1j8LfhJ4t+GMfhL4PfBbSviNr1tbajrWnXngrwFqXiRNSmuJP+FyeNNM0bUIbDzrw94x/Yg1vw3/wSP8E/A74Sr4Q/ak+Ff7WP7PHhX9prWoPhV4i8Ja9ofik+J4LTxNoPxR8e6r4fsbXxh4g8Z+MtBv8AxH4L0h/EGvXvhzRdA8QadBB4ag0+60Sv7Y6KujXVLGYLE8rlHCSyKrK8owxNWrkWPz3GUoRxFOEI0sHioZ/iaWLwsKEViK+HoY6tz4mri+bOdDmweMwqai8TSzyjC0XLD0455keAyWvUnQnOcquIw/8AZ1DE4So67jhlKeEo8mHhRa8Y8d+DNHtfFlt8UorzxY3iY+HYfAB0y48eeObz4c/2EdSvPERvx8HrvxFP8JF8bf2gotx8Sl8ED4jDQi3hceKh4ZZtIPNf2xd/88dL/wDBHov/AMr69Q+If/IFtf8AsKQf+kl7Xjdc50H4bftmTPcftJ/EiaQRK7/8IfkQwQW0Q2+AvCyjbDbxxQpwoLbI13Nl2y7Mx+YK+mv2xf8Ak474i/8Aco/+oJ4Yr5lr/V7w6/5N/wAD/wDZI8Of+qjCH+TXiN/ycHjn/sr+I/8A1b4sKKKK+yPjAooooAKKKKACiiigAooooAQHJI9Dj9Af60tIDkkehx+gP9aWvMyev9ZwEK317+0b4rNaf1v6t9U5vq+dZ1hfq/sLK31D6r/Zntbf7T/Zn1y7+uc0vd4lwn1HN6mG/sn+xOXL+H639nfXf7R5PrnC3C+P+ufWuaXN/bH1/wDt72F/9g/t3+zbR/s3liUUUV6Z4QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH7u/sZ6lcW/7Nnw3hjjsGRP+EwwZtK0u5lO7x74pY7prizlmfliF3yNtXCLhFVR9haFqVxL5G6OwGfEfh2E+XpWlw/JN/am8jyrNMSjYvlTjE8GX8mSPzJN3xd+x1/ybj8Ov+5u/9TvxPX2F4e/5d/8AsaPDH/uWr/KHxF/5OBxx/wBldxH/AOrfFn+svhz/AMm+4G/7JDhz/wBVGEPeKKKK+NPswooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOD+If/IFtf+wpB/6SXteN17J8Q/8AkC2v/YUg/wDSS9rxugD89fj94H/Yn1L4oa5qXxU/aZ8JeA/iJfWujS+KfB+p/Gb4S+F77Q54NJs7LSI5/D/iO0k1zTP7Q8OWui6zEmoyO93DqUeoWxFheWiL4z/wrv8A4Jz/APR4/gP/AMSF+Bf/AMg1+HP/AAVf/wCT/fj3/wB0t/8AVLfDmvztr+yOGMt41qcNcPzwvilxhl+FnkuVyw2AwtHI3hsFQlgqLpYTDutl06ro4eDjSpOrOdRwhHnlKV2/4+4mxXBEeI8/ji/C3g/MMVHOszWJx+Jq52sTja6xlZVsXiFSzKnSVbEVOarVVOEKanOXJGMbJf1sf8K7/wCCc/8A0eP4D/8AEhfgX/8AINH/AArv/gnP/wBHj+A//EhfgX/8g1/JPRXuf2Xx5/0d7jf/AMEcP/8AzrPD+t8Af9Gi4J/8HZ//APPQ/rivvht/wThgvbyG2/bL8BzW0N1cRW83/DRHwIk82COV0ik8yOwEb74wrb0ARs7lAUgVV/4V3/wTn/6PH8B/+JC/Av8A+Qa/knoo/svjz/o73G//AII4f/8AnWH1vgD/AKNFwT/4Oz//AOeh/Wx/wrv/AIJz/wDR4/gP/wASF+Bf/wAg1at/ht/wThkivnl/bL8BpJBapLbL/wANEfAhfOnN7ZwtHtawLSYtpribZGQ48rzCfLRwf5HaKP7L48/6O9xv/wCCOH//AJ1h9b4A/wCjRcE/+Ds//wDnof1sf8K7/wCCc/8A0eP4D/8AEhfgX/8AINH/AArv/gnP/wBHj+A//EhfgX/8g1/JPRR/ZfHn/R3uN/8AwRw//wDOsPrfAH/RouCf/B2f/wDz0P62P+Fd/wDBOf8A6PH8B/8AiQvwL/8AkGrT/Db/AIJwiyt5l/bL8Bm5kuryKWH/AIaI+BB2QQxWL28nliw8xfNknuV3sSj+TtQBo5Cf5HaKP7L48/6O9xv/AOCOH/8A51h9b4A/6NFwT/4Oz/8A+eh/WFpvgf8A4J/XV5r8GpftTeFNFs9O1aGz0DUr79oD4KR23i3SX0LRdQm8Q6O8+jW0U+nW2u32teFJZbKbULYat4Y1SB7xLyG70+x1v+Fd/wDBOf8A6PH8B/8AiQvwL/8AkGv5RNX0X+ytP8L332nz/wDhJdCuNa8ryfK+xeR4m8ReHfs2/wA2T7Tv/sD7Z52yDb9r+z+U3kefNhVx4DB8dYrDRrQ8ZeNsTF1sbT9tHB5DRTeHzDMMJOn7OeV8yeHnhZ4WU9qssLKvD93XpnrZ3/qFgcxnhp+CfBWWyjg8nrfVJY/PcY4rGZDkWYQxHt4Zq4tZhDHwzRUr3wsczjgppTwc0v62P+Fd/wDBOf8A6PH8B/8AiQvwL/8AkGrV58Nv+CcMMqJb/tl+A5Yza2MrN/w0R8CHxPPZW81zHuSwCjybmSWHYRvj2eXITIrE/wAjtFdn9l8ef9He43/8EcP/APzrPJ+t8Af9Gi4J/wDB2f8A/wA9D+tj/hXf/BOf/o8fwH/4kL8C/wD5Brs/A37On7FXxQ1a40D4aftFW3xD12z06bWLvRfA3xc+E/i3VrXSbe5tLKfVLjTdA0PULyDToLzULC0mvpYVto7m9tIHlWW5hR/49K/Zv/ghp/ydn8Q/+zdvFv8A6sr4SV4XE0/EHIeH83zmj4scZ4mrluCniqdCtTyOnSqyjVw1PknOllbqRi1XbvBOV4ro2e3w3hfDzPM+ynJ63hRwbh6WY4yGGnXpTzydSlGVPET54Qq5qqcpJ0ErTajaT6pH7p2H/BPX4L3U8kUnif4oBVstRuAU1rwoDvs9PuruIHd4KYbGkgRZBgEoWCsrEMKX/Dv34Nf9DN8Tf/Bz4V/+YyvvvR/+Pub/ALBeuf8Apl1CsuvwP/iMnip/0XnEP/g/B/8AzoP3X/iDPhV/0QXD3/hPjP8A58Hwx/w79+DX/QzfE3/wc+Ff/mMo/wCHfvwa/wChm+Jv/g58K/8AzGV9z0Uf8Rk8VP8AovOIf/B+D/8AnQH/ABBnwq/6ILh7/wAJ8Z/8+D4lT/gnr8F20+6uz4n+KHmQXthboo1rwpsKXUGoyyFh/wAIUWLhrOIIQwADSblYlStL/h378Gv+hm+Jv/g58K//ADGV99w/8gXUP+wpo/8A6Sa5WXR/xGTxU/6LziH/AMH4P/50B/xBnwq/6ILh7/wnxn/z4Phj/h378Gv+hm+Jv/g58K//ADGUf8O/fg1/0M3xN/8ABz4V/wDmMr7noo/4jJ4qf9F5xD/4Pwf/AM6A/wCIM+FX/RBcPf8AhPjP/nwfEt//AME9fgvazpFH4n+KBVrLTrgl9a8KE77zT7W7lA2+ClGxZJ3WMYJCBQzMwLGl/wAO/fg1/wBDN8Tf/Bz4V/8AmMr771j/AI+4f+wXof8A6ZdPrLo/4jJ4qf8ARecQ/wDg/B//ADoD/iDPhV/0QXD3/hPjP/nwfDH/AA79+DX/AEM3xN/8HPhX/wCYyrunf8E9fgveahYWkvif4oLHdXtrbyNHrXhQOEnnSJyhbwUyhwrEqWVgDjKkcH7arU0P/kNaP/2FNP8A/SuGj/iMnip/0XnEP/g/B/8AzoD/AIgz4Vf9EFw9/wCE+M/+fB8Cf8O/fg1/0M3xN/8ABz4V/wDmMo/4d+/Br/oZvib/AODnwr/8xlfc9FH/ABGTxU/6LziH/wAH4P8A+dAf8QZ8Kv8AoguHv/CfGf8Az4OF+Gvw+0b4WeCtF8B+H7nU7zSNC/tH7Jc6zNa3GpSf2nq1/rNx9pmsrLT7V9l1qE0cPlWcO2BYlfzJFeV/YvD3/Lv/ANjR4Y/9y1cvXUeHv+Xf/saPDH/uWr89xuNxeY4zF5hj8RUxWNx2Jr4zGYqs4uriMViakq1evVcYU4upVqzlObjTgnKTtCK0X6HgsFhMtweEy/AYenhMDgcNQweDwtFSVLDYXDU40aFCkpTqSVOlShGEFKpNqMVecnq/eKKKK5jqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAorM1vRtL8R6Nq/h7W7KDUdG17TL/RtX0+5QSW1/peqWstjf2Vwh4eC6tJ5YJUPDRyMD1r+XX4ReEPFHjrxn8Af+CQfjKC61/R/2Tv2uPif8T/iZdakjRT6v+zB8J7XRPiB8C7zVoZGDnR/iJrnxd0rw9bxWssoW20mOJGNvBIwKH7/AB1PA/BOssLVpzeqeGjj/ZZ1Wa05f7Hyq2buF7YqnKNDnoX9pIrfucHWxi9+FD6xGrHZxqywNSplUE9bxzPNY0sncrJ4erXp1rVU1Sl/U7Xhfhv9or4Z+Lfj78R/2bdAvdVvviX8JfB3hHxp49iOkXNroejWPjl528OadHq14YBqeq3djCmqTLpVve6daWlzDDc6lHqS3GnwfxofFb/haHxA+PP7UPxk8e/HT9lX4PftF/Dz9rTW/CPw+8S/GX4mftcr+178NrLSfGOmQfDrw58EPhH8FbPxn4N8VfDL7DMNHsri2+EXjN47bWfE9zqU+n2c2l31p9ofFbwL8O/hB+3r/wAFIPHujWujeHf2tPDn7K+n/Fv9nN9P8c+KNE1+/wDjd8Q/g94gf43+Kvhb4f1rxBazeMNTh0/V/Eev2XhqTSdXk0G2s3udB0XR7jTjJZ8tLFReDwOY1oyjh8Rlmb4+ph6bjKtJ0OE8PxLl9KjVd6TqRp4uMMypSaqUKmGxSjT+qYfEVKfRUw7WLxuApyTr0Mbl+DpV5qUaN6nE0eH8bUrwVqkaM6ibwNWClGdKpTqTk69fCUqv9adFfxzf8EuPDOv+Hf2pv2UvGHw++O/7GkGu/FrwD4y1r40+B/gx8SP2wvib8bfjDoEvgptW1+6/aU0fxdY+PvhP8PPiN4Y8TFPE0K6hqvwh0q78WXOsDQF8Q2smmaaL/wCzp8OPgD8B/wDgkF8Rv2yPE2hfFvUfi58R5/G/wKl8X/DT4qXfgTxjpHw/8R/Hq30gfD7wt4g8T6d46+H/AMNPCes3+l3l54s8TQ/DvUNauYPEniSxjuPN1mExdleEsPDEOo4c2GwaqVEvaNTx1XiKnwxhsPQ5YzlVwuIzDEYeosTGc68KKxFF0ZY2OHjW5sPKOIlSjDmSrY7D0ISaj7mDqZLmWf18RXXNFwr4bL8qxLeHUFSqzq4eUasKX1h0/wCwqiv4uv2ZrHS/h18U/wDgpR8NfhfrP7POi/CbXP8AgmJ8cPGtz8Pv2Xvjj8Rvjx8M01q3tFTwu/iTx98RNU1Y+K/iv4P0HxDqOi+LdX8JnS/CNsdWMeiaRpbajqlhH6J4O/Z4+H3wE+Ev/BFL9q74ZXXjnRvj38Xv2gvgN8PfiJ49u/iD4w1ibxF4A8bR3tpf+BxomqavdeHNF8K6d4eg/wCEQ0vRvD2kaTaf8ItLPp2qpqksn2oa0KPtsRhaTbp08TPh+g5OMZVaWJ4gzTizJ6VOVOE3SlSwuN4VqyrVaeInzYbFKdH29SlB4rKpVdPDYysoqdTCUs3xKgpNU6uGyjh3I+Jqs1VlBTjVq4LOXQp0pUEvrVCClKnRq1fqf9YvxD/5Atr/ANhSD/0kva8brufHfh3WIPFlt43l8eeLLzwyfDsPhUfB64s/Ay/DlddOpXmrj4lDU7TwZa/Fv/hNhp4PhcWDfFI/Dn+wma4PgA+JgviJea/tC0/6Ael/9/ta/wDlxWBsfxa/8FX/APk/349/90t/9Ut8Oa/O2v0X/wCCs0iS/wDBQL4/SRwRWyN/wqvEMJnaJMfBT4cKdpuJriY7iC7b5X+ZiF2ptVfzor+7uEP+ST4Z/wCxBk//AKgUD+H+LP8AkqeJP+x9m3/qdXCiiivoj58KKKKACiiigAooooAKKKKAN3V9F/srT/C999p8/wD4SXQrjWvK8nyvsXkeJvEXh37Nv82T7Tv/ALA+2edsg2/a/s/lN5HnzYVbur6L/ZWn+F777T5//CS6Fca15Xk+V9i8jxN4i8O/Zt/myfad/wDYH2zztkG37X9n8pvI8+bCrgyyt7fBxqfW/r18RmEPrPsPq3N7HNc0w/sfZWVvqf1f6h7S37/6h9Zu/rN37Gf4b6pmc6H9m/2RbBZJV+o/W/r3J9a4d4exv1r6zeXN/an1z+2fY3/2P+2PqFo/UOWJRRRXeeOFfs3/AMENP+Ts/iH/ANm7eLf/AFZXwkr8ZK/aP/ghZNHB+1t8RHltbe8U/s5+LVEVw10qKT8TPhERIDaXNrJvABUBpCmGbKFgrL8Z4if8kNxT/wBimr/6kZefYeH/APyW3DP/AGNaX/qPjz+rnR/+Pub/ALBeuf8Apl1Csuum0q+tWuZQuj6bGRpusNuSXVySE0i+doz5mqyLslVTFIQocI7GJ45Aki5v9oWn/QD0v/v9rX/y4r+Ij+0DLorU/tC0/wCgHpf/AH+1r/5cUf2haf8AQD0v/v8Aa1/8uKACH/kC6h/2FNH/APSTXKy66aK+tTpF8/8AY+mhV1LSlMQl1fY5a21grIxOqmQPGEZUCSKhEsnmJIwiaPN/tC0/6Ael/wDf7Wv/AJcUAZdFan9oWn/QD0v/AL/a1/8ALij+0LT/AKAel/8Af7Wv/lxQAax/x9w/9gvQ/wD0y6fWXXTarfWq3MQbR9NkJ03R23PLq4ID6RYusY8vVY12RKwijJUuURTK8kheRs3+0LT/AKAel/8Af7Wv/lxQBl1qaH/yGtH/AOwpp/8A6Vw0f2haf9APS/8Av9rX/wAuK0tHvrV9X0pF0fTYmbUrFVljl1cvGWuYgJEEuqyRl0J3KJI5EJA3oy5UgHM0Vqf2haf9APS/+/2tf/Lij+0LT/oB6X/3+1r/AOXFAGXXUeHv+Xf/ALGjwx/7lqy/7QtP+gHpf/f7Wv8A5cV0ehXlu/kbdKsIc+I/DsY8uTVDh5P7U2TjzdSl/ewbW8oHMB8x/OhmxHsAPaaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArjLP4cfDzTvHOr/ABP0/wAB+DLH4leINGtPDmvfEOz8L6HbeOdb8PafJDLYaDq/i2CxTX9S0ayltreS00u81CaxtpIIXhgRokK9nRQtGpLSSU0pLSSVSHs6iUlaSVSm3TqJSSqU26c1OD5AeqcXrFuDcXrFunLnptxd03CfvwbTcJ+/Bwn755Hq3wA+A+vfEfT/AIxa58E/hHrPxc0h7GTSvinq3w38G6j8R9MfS4WttNfT/HF5o03iayfTrdmgsWttUiNpCzRW5jQlTp6r8Gfg/rvxD0P4u638KfhtrPxY8MWQ03w18T9V8C+F9R+Ifh7TguoINP0Pxrd6XN4k0myCatqqC1sNTt4Nup6gvl4vbkS+k0UR9z2ah7ioyqzpKHuqlOtzKtOko8vsp1ueftp0vZzrc8/azq88+Yl73tHL3nVhCnVcve9rTp8vs6dXm5vawp8kPZwqe0hT5Y+zhDljy+R+AP2f/gN8J9b1/wAS/Cz4JfCP4a+I/FaPF4o8QeAPht4N8G634kjku21CSPX9V8O6Lpt/rCSX7veumoz3Kvdu1ywMzFzesPgl8GdK+HV78H9L+Efwx034S6nDqVvqPwusPAPhWz+HWoW+s3ct/q8F74Jt9Jj8NXcOq30017qUU+mSJfXcstzdLLNIzn06ilyx5PZ8sfZqjTw6p8sfZrD0pc9LDqny+zWHpT9+lQUPYUp+/To05++PmkpOak+d1ZYhzu+d15wdOddzvzuvOnKVOddzdacJShKtKEpQl4bo37MP7NXhy3Wz8Pfs8/A3QbRfBOvfDVbXRvhL4B0u3X4c+KdS1DWfE/gBYLHQIIh4J8R6xq2qarr3hUKNC1fUtS1C+1CwuLq8uZZOgm+B3wUudD8AeGLj4P8AwtuPDXwo1bStf+Fvh6b4f+E5dD+Guu6DvGh614A0mTSGsPB2raMHcaVqPh2306807e/2OaHcc+pUVXNK/NzS5uanPm5pc3PSqVKtKfNzc3PSq1q1WlPm56dWtWq0506larUqzZWcbLlcZwcbLlcKtNUasGrWcKtFKjUg041KKVKpGpSSpLg/iH/yBbX/ALCkH/pJe143XsnxD/5Atr/2FIP/AEkva8bpDP4yf+Cr/wDyf78e/wDulv8A6pb4c1+dtf1b/tcf8Egf+GmPjz4w+PH/AA0N/wAIV/wsS18M3P8Awiv/AAqX/hJP7H/4RfwxpHgTZ/bn/CzNB/tD7d/wiv8Aau7+x7H7N9v+w7bj7L9suPmz/hwd/wBXXf8AmCv/AMcdf1nw54mcE4Dh7IsDi869lisHk+W4XE0v7PzOfs6+HwlKlVhz08HKnPkqRlHmhKUJWvGTTTP5X4h8OOM8dn+d43C5P7XDYzNsxxWHqfX8th7ShXxdWrSnyVMXGceaEoy5ZxjKN7Simmj+duiv6JP+HB3/AFdd/wCYK/8Axx0f8ODv+rrv/MFf/jjr2f8AiK/AP/Q9/wDMbm3/AMxHj/8AELeOv+hH/wCZHK//AJtP526K/ouvv+CAv2K9vLP/AIay8z7JdXFt5n/CiNnmeRK8W/Z/wuV9m/Zu27m25xuOMmr/AMODv+rrv/MFf/jjo/4ivwD/AND3/wAxubf/ADEH/ELeOv8AoR/+ZHK//m0/nbor+iT/AIcHf9XXf+YK/wDxx1at/wDggL58V9L/AMNZbPsVqlzt/wCFEbvM33tnZ7M/8LlGzH2vzN2Hz5ezaN+5T/iK/AP/AEPf/Mbm3/zEH/ELeOv+hH/5kcr/APm0/nRor+iT/hwd/wBXXf8AmCv/AMcdH/Dg7/q67/zBX/446P8AiK/AP/Q9/wDMbm3/AMxB/wAQt46/6Ef/AJkcr/8Am0/nbor+iT/hwd/1dd/5gr/8cdWn/wCCAuyyt7z/AIayz591eW3l/wDCiMbPskVjLv3/APC5Tu8z7bt27Rs8vO5t+EP+Ir8A/wDQ9/8AMbm3/wAxB/xC3jr/AKEf/mRyv/5tP57tX0X+ytP8L332nz/+El0K41ryvJ8r7F5HibxF4d+zb/Nk+07/AOwPtnnbINv2v7P5TeR582FX7+6B/wAEMv7c1Xxvpn/DUX2X/hDfFFp4b8//AIUn5/8AaP2rwX4Q8X/bfK/4W5D9j8v/AISr+z/s/mXW77B9r89ftX2a36f/AIcHf9XXf+YK/wDxx1yYLxX4F+rR9rxP9cn7bGXr/wBj5pQvH6/j/Z0vZRwVl9VpeywXPvW+pfWJe9iJHqZ14U8bUswnClwn/ZcFhMpksF/beWY3llUyPI61TE/WJY1t/wBpVa1XN/ZXthP7W+oq0cDFL+duiv6JP+HB3/V13/mCv/xx1avP+CAv2SVIv+GsvM32tjc7v+FEbMfbbK3vNmP+Fytny/P8vdkb9m/am7aOv/iK/AP/AEPf/Mbm3/zEeX/xC3jr/oR/+ZHK/wD5tP50a/Zv/ghp/wAnZ/EP/s3bxb/6sr4SV9E/8ODv+rrv/MFf/jjr7O/Ya/4Jk/8ADF/xa8Q/FH/hdv8Awsn+3vh1q3gH+wv+Fbf8Id9k/tTxL4R8Rf2t/af/AAn3inz/ACP+EW+x/YP7Ph837f8AaPtkf2XyLj5njPxH4NzbhTP8twGce3xuNy6pQw1H6hmVL2lWVbBzUfaVcJClC8aVR805xj7tr3av9Jwf4e8X5VxRkWY4/KfYYPB5hTr4mt9ey6p7OlGji4OXs6WKnUnaVWCtCEpe9e1k7frVo/8Ax9zf9gvXP/TLqFZdamj/APH3N/2C9c/9MuoVl1/LJ/TgUUUUAakP/IF1D/sKaP8A+kmuVl1qQ/8AIF1D/sKaP/6Sa5WXQAUUUUAamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fWXQAVqaH/wAhrR/+wpp//pXDWXWpof8AyGtH/wCwpp//AKVw0AZdFFFABXUeHv8Al3/7Gjwx/wC5auXrqPD3/Lv/ANjR4Y/9y1AHvFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFeQfFv49fCf4Fv8OU+Kniv/hFm+LXxL8NfB/4fD+wvEmt/wDCQfEXxg1wnh3w7nw5o+rjSv7Ra0uB/a2tnTdCtPLzfanah0LC1lTgtZ1atOhSgtZVK1aThSpU47zqVZpwpwinKck4xTegbRnJ6RpUqtapL7NOjQpzrVqs3tGnRo06lWrOVowpwnOTUYtr1+ivkFf29P2T38vb8Vs+b+0r/wAMgJ/xQ3xJG79oo+V/xbznweMf6+L/AIq048DfN/yM3ytj3rwX8Wvht8Rdf+IXhfwL4y0XxXrfwp8RweEPiHaaJcNfR+FfFU+nw6mfDuo30UZ086zaWk8R1TTra6uLrR7ktYarFZ30clspH34wnD341ISqwlH3ozpRw+AxUqkWr3pxw2a5ZiJTXuKjmOAqOSji8P7Un+7lKE/cnCfs5Rn7so1Pb4nC8kk7NT+s4PF4fkfvOthcTTUXKhV5PRKKK8g+Lfx6+E/wLf4cp8VPFf8AwizfFr4l+Gvg/wDD4f2F4k1v/hIPiL4wa4Tw74dz4c0fVxpX9otaXA/tbWzpuhWnl5vtTtQ6FhaypwWs6tWnQpQWsqlatJwpUqcd51Ks04U4RTlOScYpvQNozk9I0qVWtUl9mnRoU51q1Wb2jTo0adSrVnK0YU4TnJqMW10fxD/5Atr/ANhSD/0kva8br2T4h/8AIFtf+wpB/wCkl7XjdAH+ez/wXG/5Sj/tP/8AdFP/AFnf4S1+TtfrF/wXG/5Sj/tP/wDdFP8A1nf4S1+Ttf01kP8AyI8m/wCxXgP/AFFpH8555/yOs3/7GeO/9SagUUUV6x5YUUUUAfrF/wAEOf8AlKP+zB/3Wv8A9Z3+LVf6HWn/APHprn/YLh/9PWj1/ni/8EOf+Uo/7MH/AHWv/wBZ3+LVf6HWn/8AHprn/YLh/wDT1o9fiPiT/wAjzC/9iuj/AOpWLP2Tw8/5EuJ/7Gdb/wBRsKZdFFFfnp94Fak3/IF0/wD7Cmsf+kmh1l1qTf8AIF0//sKax/6SaHQBwmgeJP7c1Xxvpn2L7L/whvii08N+f9o8/wDtH7V4L8IeL/tvleRD9j8v/hKv7P8As/mXW77B9r89ftX2a36euY0DxJ/bmq+N9M+xfZf+EN8UWnhvz/tHn/2j9q8F+EPF/wBt8ryIfsfl/wDCVf2f9n8y63fYPtfnr9q+zW/T1hh5c9JS9r7b95XXtOT2d+TE4mHJy6fwuT2HN9v2HtP+Xl36Oa0fq+NlS+p/ULYbLZ/VfrH1nl9vlGU4n2/tru/136x/aPs7/wCz/wBofVbL6rZFamsf8fcP/YL0P/0y6fWXWprH/H3D/wBgvQ//AEy6fW55xl0UUUAamj/8fc3/AGC9c/8ATLqFZdamj/8AH3N/2C9c/wDTLqFZdABRRRQBqQ/8gXUP+wpo/wD6Sa5WXWpD/wAgXUP+wpo//pJrlZdABRRRQBqax/x9w/8AYL0P/wBMun1l1qax/wAfcP8A2C9D/wDTLp9ZdABWpof/ACGtH/7Cmn/+lcNZdamh/wDIa0f/ALCmn/8ApXDQBl0UUUAFdR4e/wCXf/saPDH/ALlq5euo8Pf8u/8A2NHhj/3LUAe8UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXyt+3N4i8QeEf2M/2p/FHhTXNY8MeJvD3wC+Kus6B4i8Pane6Lruh6vp3gzV7rT9V0fV9NnttQ0zUrG6ijubO+sriC6tZ40mglSRFYfVNcf8AELwD4S+KngXxh8NPHuk/294J8e+G9Y8I+LNF+36npf8Aa3h7X7CfTNX0/wDtLRrzTtWsftdjczQfa9Nv7O+g3+ZbXMMypIvJj6NXE4LF4ehNU61ahOnSm5TgoTk6fLJzp+/G3JL3oe8r6bs6sFWp4fGYSvWi50qOJo1asFGM3OnTqRlOKhP3JOUU1yz917S0P5cPhn4b/aouvGn/AATB0Nf+CgP7Y90f+Cg/wM8fL8bJbn4i6RqieFPDvhT4eeHfFtr/AMKes/E+g65ZeBPGi6HBDpt78UvL1n4j3Osx6j4qtNdtdQ13VbC7l+G/7RH7R1h8Ifgf4F1X9oL4x+Jrj4af8FxtK/ZfPjjWfH/iR/Hvj74OWF2l9N4R+Jvia11G3vvHOk6jd6pem90zXnu9MksTZaQtmulaXptna/0S6P8Asgfs7aBq37O2uaT8PPsmqfsoeHNc8JfAG6/4S3xzP/wgPh/xJ4ch8Ja1p/kXPiaa38U/bfD9vDp/2vxpD4jvbbZ9qtLmC9Z7luPs/wBgL9kjT7e2tbT4TeVBaftJj9ry3j/4Tv4mSeX+0ODER8Qt0vjJ3fmGP/ik3ZvA/wAv/Itctn2I16Mceqyg/qizOWL9i4wlJYSjxng84y7DpS5lbC8PxzLL/ZubhKvj61CtLF4er7XDeXKjUlgfYuf+1vLY4Z1uaSi8VV4V4sybG1rqztXzHMuHMV7Tk54wyqWIpRw2JoUvrX8/fgr4g+PvAKasngTxz4x8Er4y/wCDi7UvBXi7/hEPE2teG/8AhKPB2troy6x4U8Rf2Ne2Y1vw3qohiGpaFqYutLvhFGLq0lCLin8K7W0/ZY8Nf8FefjCP2uf2nPA+s+Df2iNf+A+iajbT6f8AGrUNV1Px14n8JNa/EN/hfqeq/D3T/FXx61C1stU8K+G/iFqHjXwva+HdKvdTv0jkn09Vb+hdf2C/2T08vb8KceV+0r/w1+n/ABXPxJO39ooeV/xcPnxgc/6iL/ikjnwN8v8AyLPzNnjvHX/BMn9hf4l+P/iv8UPHP7P2g+IPG/xu0WXQfibq0/ij4gWtt4is5rjQL17qDQ9P8W2nh/w7r32/wxompp4o8L6VoviWLVbN9Ui1ZNQvL65ufLpU508NhqXuupDJa2UYid226M8m8L8B7Ok5NKVKdTg7iOgo1HSp0qOcYbEuE3LF4en6darCpi8RXSfsp5rHNKVJxjadWOe8WZjCVZJP3o4fO8onOUfaTqTyyrg4zhTqU67/AAu+CXxW/a5+E3xQ/wCChHwR8V+Of2s9C8L6D/wTr+Lfxv8ABmnftNftLeGPjx8a/CfibSbWWL4dfEPS/Fvw++xQ/B3W9W0PWbm/vfh3pV/qGr+HtTtrG91TxBrElv4e1GDttFtfjv8ACz9m3/gmD8ctT/a//au+IHjz9q/9rL9jS1+JFn4t+N3iu78GWfgnU7HxM83gbw/4csZNNA0PxHpFzpMPxETxHeeI5vHWs6RHrOsTPPPOkn7J/Dn/AIJg/sKfCOHXofhv8AtM8IjxV8I/GfwK8Uy6X41+Jv2vxN8MPiBqNzqnizQPEV9c+Nbi81u/1G5uvJt/FmqT3XjHR9Ms9J0XRPEGnaPomj2Fj7FqX7IH7O2r+A/gR8MtR+Hn2jwR+zP4p8DeNfgjon/CW+OYf+EK8TfDa3ktfBWp/wBpQeJotX8Sf2LBNJH9j8W3+vafqO7dq1pfuFYehRq06WIwlZ803Qr8NRqznGM51cDlOc8UY3MaclNckq2Ny7M8iwkpOlB4l5ZVpVZUMNHDU4+fOnOeHxVG6iq9HPZQjGUlCGMzDhHLsmwNVS5nVjHD51hsbmTSrSVGOMjXpwq42FadXrvHfh3WIPFlt43l8eeLLzwyfDsPhUfB64s/Ay/DlddOpXmrj4lDU7TwZa/Fv/hNhp4PhcWDfFI/Dn+wma4PgA+JgviJea/tC0/6Ael/9/ta/wDlxXqHxD/5Atr/ANhSD/0kva8brmNz/Pe/4LmSJL/wVM/aikjgitkb/hSeIYTO0SY/Z2+Eanabia4mO4gu2+Z/mYhdqbVX8mK/WL/guN/ylH/af/7op/6zv8Ja/J2v6ayH/kR5N/2K8B/6i0j+c88/5HWb/wDYzx3/AKk1Aooor1jywooooA/Wf/ghnIkX/BUz9l2SSCK5Rf8AhdmYZjOsT5/Z2+Lijcbea3mG0kOuyZPmUBtyblb/AER7G+tWttYI0fTUCabEzKsurkSg6vpSeXJv1VmCBmWUGJo33xoC5jMkcn+dn/wQ5/5Sj/swf91r/wDWd/i1X+h1p/8Ax6a5/wBguH/09aPX4j4k/wDI8wv/AGK6P/qViz9k8PP+RLif+xnW/wDUbCh/aFp/0A9L/wC/2tf/AC4o/tC0/wCgHpf/AH+1r/5cVl0V+en3hqf2haf9APS/+/2tf/LitKW+tRpFi/8AY+mlW1LVVERl1fYhW20ctIpGqiQvIHVXDyMgEUflpGxlaTma1Jv+QLp//YU1j/0k0OgDmNA8aWmuar430z/hF9Ltf+EN8UWnhvz/ALdrU/8AaP2rwX4Q8X/bfK/tCH7H5f8AwlX9n/Z/Mut32D7X56/avs1v0/8AaFp/0A9L/wC/2tf/AC4rhNA8Sf25qvjfTPsX2X/hDfFFp4b8/wC0ef8A2j9q8F+EPF/23yvIh+x+X/wlX9n/AGfzLrd9g+1+ev2r7Nb9PWGHlz0lL2vtv3lde05PZ35MTiYcnLp/C5PYc32/Ye0/5eXfo5rR+r42VL6n9Qthstn9V+sfWeX2+UZTifb+2u7/AF36x/aPs7/7P/aH1Wy+q2Wp/aFp/wBAPS/+/wBrX/y4rS1W+tVuYg2j6bITpujtueXVwQH0ixdYx5eqxrsiVhFGSpcoimV5JC8jczWprH/H3D/2C9D/APTLp9bnnB/aFp/0A9L/AO/2tf8Ay4o/tC0/6Ael/wDf7Wv/AJcVl0UAdNpV9atcyhdH02MjTdYbckurkkJpF87RnzNVkXZKqmKQhQ4R2MTxyBJFzf7QtP8AoB6X/wB/ta/+XFGj/wDH3N/2C9c/9MuoVl0Aan9oWn/QD0v/AL/a1/8ALij+0LT/AKAel/8Af7Wv/lxWXRQB00V9anSL5/7H00KupaUpiEur7HLW2sFZGJ1UyB4wjKgSRUIlk8xJGETR5v8AaFp/0A9L/wC/2tf/AC4oh/5Auof9hTR//STXKy6ANT+0LT/oB6X/AN/ta/8AlxR/aFp/0A9L/wC/2tf/AC4rLooA6bVb61W5iDaPpshOm6O255dXBAfSLF1jHl6rGuyJWEUZKlyiKZXkkLyNm/2haf8AQD0v/v8Aa1/8uKNY/wCPuH/sF6H/AOmXT6y6ANT+0LT/AKAel/8Af7Wv/lxWlo99avq+lIuj6bEzalYqsscurl4y1zEBIgl1WSMuhO5RJHIhIG9GXKnma1ND/wCQ1o//AGFNP/8ASuGgA/tC0/6Ael/9/ta/+XFH9oWn/QD0v/v9rX/y4rLooA1P7QtP+gHpf/f7Wv8A5cV0ehXlu/kbdKsIc+I/DsY8uTVDh5P7U2TjzdSl/ewbW8oHMB8x/OhmxHs4iuo8Pf8ALv8A9jR4Y/8ActQB7xRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHB/EP8A5Atr/wBhSD/0kva8br2T4h/8gW1/7CkH/pJe143QB/Lf/wAFIv8Agh1+1j+1v+2R8Wf2jfhv8Qv2eNE8EfE63+H1xoGleN/FnxJ03xVaJ4Q+Gng/4d6kNXsdB+EviXSLd59a8H6ndWIstc1AS6XPYz3DW13LcWNr8Nf8Q137c/8A0Vb9k7/wuvjB/wDOJrxb/gtV+2R+178Lv+CmH7SXgH4ZftVftIfDrwJ4dT4OR+H/AAV4E+OPxO8I+EtCTVfgJ8Lte1RNG8OeH/FGn6Ppaalrmq6prN+tlZwC81XUr/UbgSXl5cTSfll/w8G/b3/6Pe/a9/8AElfjN/8ANpX7PlcuK/7My76tmuUU8P8AUcL7CnVyqrUqQo+wh7OFSosRFTnGFlKaSUpJtJXsfkWZQ4YeY494jLc1qV3jMT7adPM6dOnOr7aftJQg6DcISndxg23FNK7tc/bb/iGu/bn/AOirfsnf+F18YP8A5xNH/ENd+3P/ANFW/ZO/8Lr4wf8Azia/En/h4N+3v/0e9+17/wCJK/Gb/wCbSv74P+CK/wAQvH3xU/4Jm/s1ePfif448X/Efxzr3/C5P7c8Z+PfEuteMPFms/wBl/H/4qaNpn9q+IvEN7qOsaj/Z2j6dp+lWP2y8m+yabY2djb+Xa2sESc2dZ1xbkmFp4qrmOU4iNSvGgoUsqcJKUqdSopN1MQ42SptWWt2uiZ0ZRk3C+cYmeGpYDNKEoUJV3OpmanFqM6cOVKnQUrt1E7vSyfWx/O5df8G037ddndXNpL8V/wBktpLW4mt5Gj8dfGEoXgkaJyhb4DqxQspKllUkYyoPAg/4hrv25/8Aoq37J3/hdfGD/wCcTX9xOuf8hrWP+wpqH/pXNWXXzH/EQuJf+fuB/wDDfS/+Xn0f+ofDv/PrG/8AhfV/+Un8s/8AwTj/AOCIX7V37IP7Znwb/aJ+JXxB/Z61zwV8PP8AhYf9taX4G8V/EjU/FN1/wlvwq8ceBtO/suy1/wCE/hnSZ/I1bxNYXF79r1uy8vTobuaD7Tcxw2lx/VZp/wDx6a5/2C4f/T1o9Zdamn/8emuf9guH/wBPWj187m+c47PMTDF4+VKVanRjh4ujRjQj7OM6lRJwjOacuapK8r3asraa+/lWUYLJsPPC4GNWNKpWlXkq1aVaXtJQhBtSlGDUeWnG0bWTu76mXRRRXlHphWpN/wAgXT/+wprH/pJodZdak3/IF0//ALCmsf8ApJodAHCaB4k/tzVfG+mfYvsv/CG+KLTw35/2jz/7R+1eC/CHi/7b5XkQ/Y/L/wCEq/s/7P5l1u+wfa/PX7V9mt+nrmNA8Sf25qvjfTPsX2X/AIQ3xRaeG/P+0ef/AGj9q8F+EPF/23yvIh+x+X/wlX9n/Z/Mut32D7X56/avs1v09YYeXPSUva+2/eV17Tk9nfkxOJhycun8Lk9hzfb9h7T/AJeXfo5rR+r42VL6n9Qthstn9V+sfWeX2+UZTifb+2u7/XfrH9o+zv8A7P8A2h9VsvqtkVqax/x9w/8AYL0P/wBMun1l1qax/wAfcP8A2C9D/wDTLp9bnnGXRRRQBqaP/wAfc3/YL1z/ANMuoVl1qaP/AMfc3/YL1z/0y6hWXQAUUUUAakP/ACBdQ/7Cmj/+kmuVl1qQ/wDIF1D/ALCmj/8ApJrlZdABRRRQBqax/wAfcP8A2C9D/wDTLp9Zdamsf8fcP/YL0P8A9Mun1l0AFamh/wDIa0f/ALCmn/8ApXDWXWpof/Ia0f8A7Cmn/wDpXDQBl0UUUAFdR4e/5d/+xo8Mf+5auXrqPD3/AC7/APY0eGP/AHLUAe8UUUUAFFcL8OviV4J+LHhyfxb8P9a/t/w/beKfHPgqbUP7O1bStnib4a+Ndf8Ah3410z7JrVhpt639i+MfC+u6P9sS2bT9R+w/2hpN3f6Xc2d9cS+KPiL4M8F698O/DHibXItL174r+K7/AMEfD/TmtNQupfEXifTPBXiz4h3+mxPZWlzBYLa+DvA/ifWJL/VZbDTf+Jalgt42qahplletJt04pNyq+z9lFb1PbUViKPIt5+1w8o16fLfnoyVSN4O4fz/9O/aqp/079hOdOtz/AMvsqlOpCpzW5JwlGVpRaO1ooopAFFFFABRRRQAUUUUAFFFFABRRRQAVlapruh6G+lx61rOlaQ+uarb6FoqapqNpp76xrl3Dc3Fro2lrdzQnUNVubezu57fTrQTXc0NrcyxwskErLq1+CX/BVPwF8a/F37b3/BM2D4X/AB9/4VDeeIPGnxP0DwRf/wDCq/Cfj/8A4V9410/wymp634/+y+Iby2i8V/8ACQeHrnT/AAx/wiurmHSdK/sz+2rSZ768njWYvmxmV4W1lmOaYLLpVd1Qjinieas47zcY4aahBaOTbm1GMVVrlXsMdWc4x+p5fjMclJStUeFhQag3GMnGL9up1JKLkqdOSpxlUlGK/e2ivwT+Avx6/bY8d/ET9vT4ueM/2tPAXhX4AfsZ/HT9o7wRofw68a/CbwPp/h7xhb+FPDusT+FLT4i/FDw3oL+OPCPgHwBex+GtUnu/Cmg+IvH3iiG88QWFzqd/MmkQL4T+xp+3x+2Frn7bP7PXwn+Inxq8XftDfB/9o7wF8QNcj8T65+yDB+zn8KLW/wBB8ASePodd/Zt8calpfh34l/GHwd4e1izl8E3/AIk+IPg7wdHPZXEN4dAur3VdN1azmnVhUhQnG69vksc8jBr34YWtlWY51g6VW140sRjcuyrHVqEZzjTjKnCjVk6tVrDRXvhqWLq1ItRwWLqYOsk483tcNPLaWOdNOSdWGBr5tg8PXlTU3OpKo8PzU4Qnif6YqK/mp/4b/wD2uP8Ahyx4h/a1/wCFtf8AGQVj8Z38J2vj/wD4QP4Z/uvD4+NWn+EhYf8ACK/8IZ/whL/8U9PLp/2qTw297832v7T9uVbkaHx+/aX/AOChGu/Hb/gpRonwZ/am0D4SfDf9jL4UfDn4waHol78D/hn4817WJrv4Sf8ACVah4H03V9c0ONNM0fxRfx61qmteI9fj8XaxpN9Y+HrDw5Y2ek3GsRNdVxoOt7V8sMNTdbEVUnKFHDw4e4e4mq15KP7ycaOXcSYGEoU4TqzxVPE0aUJxjSq1N3RmqsKF4upUxNfB0opv95iKHFGZ8JKnFtJL22aZXXnSlNxgsLUoVasqdSU6UP6RqK/ny/Z9/bG/bZT9qD9gu8+PHxd+HXir4S/t9/Ar4g/EdvhD4a+FGl/Dvw98C5vB/wAObPxzpeo6N421HVPEnj7xTPqFraW1xqtz4o8SNocS6/4hisdHjtrTw9e2PzX4T/4KTftjx/tM/s065b/HuT47fBf49/tJ6d8Jde8MfD/9krUPCf7JHh3S/E/jHWvCDeFPhf8AtV+PvDvgv4vfE74h+C9Jt7DxZc26eEIfDrTi7Z/FPiXSdMvLK66I4epLG4TL3yxxGKr43CNOV44bGYHNa2S1cLiZQUuWUsxouhGvBPC3nG9apUjUw8OKVeEcJica1L2WGwmFx1rJTr4TFZZXzb21BScVP2OEwuK9rSbWIdSilCiqdfDV6n9MvxD/AOQLa/8AYUg/9JL2vG67nx3Z+OV8WW2p3fiLwnP8JP8AhHYbBfBFv4M1i1+Iw+I39pXlwPFR+KUvjy88MnwSPDIbSD4AHweXXTrpXxEPiUNPU+F25rztF/6B+qf+Di0/+UdYG5/m+/8ABeX/AJSu/tVf90N/9Zu+D9fkLX6//wDBeswN/wAFYv2rTbxyxQn/AIUZsjmmS4lX/jGz4Oht00cFsj5fcy4hTapCncVLt+QFfv2Tf8ijK/8AsXYL/wBR6Z+H5t/yNcy/7D8X/wCn5hX+jd/wQa/5RRfsq/8Adcv/AFpH4wV/nI1/o+/8EFJNLX/gk7+ykLizv5Zh/wALz3yQ6lb28Tf8ZJ/GIrthk0q5dMJtVszPuYFhtDBF+b48/wCRRh/+xjS/9R8SfQcFf8jXEf8AYBV/9P4c/X/XP+Q1rH/YU1D/ANK5qy66bWJdIGr6qJbHUnkGpXwkePVbWNGcXMu9kjbR5WjRmyVRpZCoIUyORuOb52i/9A/VP/Bxaf8Ayjr8lP1Ay61NP/49Nc/7BcP/AKetHo87Rf8AoH6p/wCDi0/+UdaVjLpBttY2WOpKo02IyhtVtWLp/a+lALGw0dBG4kMbl2WUFFePyw0iyxgHM0Vqedov/QP1T/wcWn/yjo87Rf8AoH6p/wCDi0/+UdAGXWpN/wAgXT/+wprH/pJodHnaL/0D9U/8HFp/8o60pZdI/sixJsdSMZ1LVQiDVbUOri20fzGaT+xyrIymIIgiQxlJGaSQSKsQB5loHiT+3NV8b6Z9i+y/8Ib4otPDfn/aPP8A7R+1eC/CHi/7b5XkQ/Y/L/4Sr+z/ALP5l1u+wfa/PX7V9mt+nrM0DxTouuar430z+w9Utf8AhDfFFp4b8/8A4SC0n/tH7V4L8IeL/tvlf8I5D9j8v/hKv7P+z+ZdbvsH2vz1+1fZrfp/O0X/AKB+qf8Ag4tP/lHWGHlz0lL2vtv3lde05PZ35MTiYcnLp/C5PYc32/Ye0/5eXfo5rR+r42VL6n9Qthstn9V+sfWeX2+UZTifb+2u7/XfrH9o+zv/ALP/AGh9Vsvqtll1qax/x9w/9gvQ/wD0y6fR52i/9A/VP/Bxaf8AyjrS1WXSBcxeZY6kzf2bo5BTVbWMBDpFiYlKto8hLpGUSR9wEjq0ixxKwiTc845mitTztF/6B+qf+Di0/wDlHR52i/8AQP1T/wAHFp/8o6ADR/8Aj7m/7Beuf+mXUKy66bSpdINzL5djqSt/ZusEl9VtZAUGkXxlUKujxkO8YdI33ERuyyNHKqmJ83ztF/6B+qf+Di0/+UdAGXRWp52i/wDQP1T/AMHFp/8AKOjztF/6B+qf+Di0/wDlHQAQ/wDIF1D/ALCmj/8ApJrlZddNFLpH9kXxFjqQjGpaUHQ6ral2c22seWyyf2OFVFUSh0MTmQvGyyRiNllzfO0X/oH6p/4OLT/5R0AZdFannaL/ANA/VP8AwcWn/wAo6PO0X/oH6p/4OLT/AOUdABrH/H3D/wBgvQ//AEy6fWXXTarLpAuYvMsdSZv7N0cgpqtrGAh0ixMSlW0eQl0jKJI+4CR1aRY4lYRJm+dov/QP1T/wcWn/AMo6AMutTQ/+Q1o//YU0/wD9K4aPO0X/AKB+qf8Ag4tP/lHWlo8ukHV9KEVjqSSHUrERvJqtrIiubmLYzxro8TSIrYLIssZYAqJEJ3AA5mitTztF/wCgfqn/AIOLT/5R0edov/QP1T/wcWn/AMo6AMuuo8Pf8u//AGNHhj/3LVl+dov/AED9U/8ABxaf/KOuj0KTSz5HlWd+n/FR+HQPM1K3lxOf7U8mQ7dKhzFHiTzYRh5tybJ4NjeYAe00UUUAfy/eG/8Agnl+1mLn9o/T/hh+z1L+zD8dvGEH/BUCbUv2zYfir8IrCb9oLw5+0p8XfF3ib9lj4dxa14A8TfEL4tWUvgey1bw/4njf4p/DKw8LfBp/DwfwTH4h1nxX4m0SC9+z/wD8E2fGPw7/AOGdfGFl+xT8Qk034b/tsSfEjQ/hn8epf+CYeneIvg3p+t/sneNPhzdfHDwz8O/2IfBvwN/Z2+F/hPTPjfP8M9d8Sr8JfFvxC+P/AIyb4faF8V18NWvjPS9M8P2PaeLP21v26PAWow6P458X+J/BerXNlHqVvpfiz4R+B/Dmo3GnTT3NrDfw2OseAbO5lspbmzu7eO6jiaB57W5hWQyQSqtLw7+3R+2v4v1iz8O+E/H+teKPEGofaPsGheHfhb4A1rWL77Jaz3119j0zTfAlze3P2aytrm8uPJgfybW3nuJNsMUjr/QuH+jFxlSy6nVocS8FrB08uw9GnmVLOcWqVLDYPA1cBHF4fG08slgcNSpYdSxFP6rVo4DA5pDE53hXh8yxeZVcR/OmJ+k7wXWzGtTxHDPGv16tmGNq1MtqZHgfazxWZW9phamX1MzhiqtSU6saTp1qE8XjMA8NkuKhiMqw+Bw+H9K/4I7fsi/tG/s1fGf49eMPil8AvGHwI8IfGP4A/s5y+KNL8Qv+xpZaVqv7Tfg/xb8cbv4xXfhnT/2WfFHjXxr4p8LvZeN/DcnhP4uftQ/ET40ftMfETQmil+NHxi8SeKNJhs7D+gKvn9Pitf8Aw3/Zm0T4vfFXS/FOqeI9C+E3hXxJ4w8OaVoNnbeONf8AGt34e0r7T4V0jwzdP4e0628YeIvFd4mgaXod5NoGnQa7f29jd3GkWaSzW2D4M/afsfGvwQ8cfF6z+DPxv0/xV8OdQ8W+GPF/7OtxoHgrWvjxpvxD8JypGfhxBZeDPH/in4V6tr/iBL3Q77w94h0f4rX/AMNJtE8R6T4j1Tx7pPh1dV1XTPwbMpunicTgpvDSeRRll03gIznh1h8NmeZYbDPCxgqrqYSM8VDDYGGHVeNDLHklKSp0pYetif6BwU44mjhcbGNek899lj6UMa4Uq/ta+X4GvVWJclQjTxSgvaZhVxPsJV8xpZvXqTnXhjIYb6eor85V/wCCkXhG1s9El8Sfs2ftQ+EdSs/Eev6J8c9C1rRvgffX37LOk6D4x8P+C08c/GjUfCvx48SeGPEPgvWrzxNpWsaPe/s7+IPjxq58Nx65rOqaJpcPhTxWmifo1XIk3D2kXGVPnVNVIShODlKlCvBxnCUozhUozVWjVg5Ua9ONWVCtWWHxHsOjnj7SVJu1WMXKVOSlGcVGtUw81KMoxcZQrUpU6kHapTlKl7SEI4jDSxBRRRSKCiiigAooooAKKKKACvjn9rv9ib4bftj23wvl8Y+OPjB8LvFfwb8XXnjL4e/Eb4GeM7LwJ8QPD+pajpv9m6jb2Wv3/h/xIlraX0cdjcSy2Vla6rFc6baG01O2ge9gu/saipcYuVKbXvUK9HE0ZXalSxGHm6lCtBxlFxnSm3KLvb3pRlGcJzhOozlHnUXZVKVWjUVoyjOjWh7OrTnGUZxlCpBKMouLulFq0oxlH4i8GfsBfA7wj8N/2pPhVeX/AI/8beEP2vPHXjr4g/FmDxj4h02bUU1r4hWFtYa3B4Y1Tw9oHh270yyt/skN7pkmoSaxq1vfqbi41S7GEHi/wS/4JP8AwT+B/wAT/gl8YNP+N37WHxG8cfAGDxPo3gG8+LvxgsPHWmWvgbxJ4RTwdD8NP7CuPBllpGi+A/DVk+paj4c0rwbZ+Fr6HVdYu31bVNX0+x0HTtH/AFFoq4SdOpGtC0KkKOFw8ZJRtGjgcLisFg6ag4umo4fBY7GYOk1SU44TFV8K6ksPVnRec4xnSlQmuelOeInOEm5c08W8HLFSlJydSXt55fgatVOq4zr4TD4hx+sUoV1+L/iz/ghj+yv4s03x34Uf4w/td6H8MfGvjS/+Iln8GdC+NWmx/CLwL421HWbTU7jxN4O8D6r4G1bT21kWEF34Zh1Hxe3i28i8PatfRLN/asOlatpn1zqH/BP34Nal4n/bC8WT+Jviamo/tsfDvQPhn8VIYtZ8KrZaBoPhzwXd+BbG7+H0b+DJJ9K1eXSLyW4up/Edz4rs31FY5obCC2DWbfc9FZqnTWHWFUV9XWHq4X2Wri8NWwWCy2rRk3KVSUJ5fluX4NudWc1hsDhaUakIUKajq6lSVdYlzbrqvDEqropLEU8fPNIVkklCM1mVWrj24048+Lq1a9WNWdWq6nwhH/wTy+Bw8Rfsi+I7rW/iPqMn7Gfwo8TfBz4caVe6z4ZbSPFnhHxZ8PYPhpq7fEiK38H297quqP4etxJDceF77whaJqMks72MlsUs0+dPBf8AwRf/AGcPAupfDS80r4z/ALXOoaZ8FPi34c+L3wX8HeIfjXa694D+E+oaBr2p+I7vwp4J8Gah4Nl0Cx8KeLNRvbI+LJb2y1DxlqMWh6etp4v06S+8SS69+vVFbqtVWI+tqcvrP1iti/bac7xNfM6mc1cQ004OrLNa1bHKbpuVOvXxDouhTxGIo1sXTpyovDyhF0Xh4YX2bXu/VoYOvl8aC1UlS+o4ithZQU0qlKUVV9rKjh6mH4P4h/8AIFtf+wpB/wCkl7XjdeyfEP8A5Atr/wBhSD/0kva8brMs/wA5H/gvL/yld/aq/wC6G/8ArN3wfr8ha/sr/wCCmv8AwQc/a9/bE/bW+MH7S/wy+I37N+heBPinb/Dq48P6T478X/E7TPFtmng34XeDPhvqg1mw8P8Awf8AE+j27z654N1S6sBZa9qIl0qewnuGtbyW4sbX4L/4hhv29/8Aorn7IX/hffGb/wCcDX7NlfEGS0csy6jVzPC06tLA4WnUpylUUoVIUIRnCVqEleMk07Nq63e5+SZlkecVsxx9Wll2JnTq4zE1Kc4xhyzhOtOUZRvXTtKLTV0nZ7I/nIr/AEbv+CDX/KKL9lX/ALrl/wCtI/GCv5yP+IYb9vf/AKK5+yF/4X3xm/8AnA1/WL/wTQ/Zh8ffsafsS/BX9m34n6v4Q17xz8OP+Fj/ANuar4Cv9a1Twndf8Jh8W/Hnj3TP7KvvEPh/wvrE/kaP4o0+2vvtmhWPlalDeQ2/2q1jgvLjwuMc3yzH5ZQo4LHUMTVjjqdSVOlKbkqaoYiLm+alTVlKUVu3drTqva4UyvMcFmNari8HXw9OWDqU4zqRioubrUJKK5as3dxjJ7Wsnr3/AEA1z/kNax/2FNQ/9K5qy61Nc/5DWsf9hTUP/SuasuvzY/QQrU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooAK1Jv+QLp//YU1j/0k0OsutSb/AJAun/8AYU1j/wBJNDoA4TQPEn9uar430z7F9l/4Q3xRaeG/P+0ef/aP2rwX4Q8X/bfK8iH7H5f/AAlX9n/Z/Mut32D7X56/avs1v09cxoHiT+3NV8b6Z9i+y/8ACG+KLTw35/2jz/7R+1eC/CHi/wC2+V5EP2Py/wDhKv7P+z+ZdbvsH2vz1+1fZrfp6ww8uekpe19t+8rr2nJ7O/JicTDk5dP4XJ7Dm+37D2n/AC8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf8A2f8AtD6rZfVbIrU1j/j7h/7Beh/+mXT6y61NY/4+4f8AsF6H/wCmXT63POMuiiigDU0f/j7m/wCwXrn/AKZdQrLrU0f/AI+5v+wXrn/pl1CsugAooooA1If+QLqH/YU0f/0k1ysutSH/AJAuof8AYU0f/wBJNcrLoAKKKKANTWP+PuH/ALBeh/8Apl0+sutTWP8Aj7h/7Beh/wDpl0+sugArU0P/AJDWj/8AYU0//wBK4ay61ND/AOQ1o/8A2FNP/wDSuGgDLooooAK6jw9/y7/9jR4Y/wDctXL11Hh7/l3/AOxo8Mf+5agD3iiiigD+H7+2z/fH5Gj+2z/fH5GvIP7b/wBr/P8A3zR/bf8Atf5/75r/AFi/tGXd/f8A8E/yb/s1dvw/4J/Yx4W+GbfGn9hX4XfD2DXIvDGq+Iv2f/g7deG/FM2iweJIPC3jHQvC3hLxN4L8UXHhy5vNOg1+38O+LdI0bWp9Ek1LTP7VhsXsF1PTnuFvYOb0b9m79pzwt8Evir4T8HftSfD7wr+0B8ZJfij4y8T/AB6sf2aLjUdB8M/GTxtJ4T0jwd4z+HHwb8Q/HXWNN0nwb8OPA/hyXQbf4feOvGfxIvvFWu/2F4n1vx0sGma74d8Xe4fspv5v7Lv7Nsn/AD0+Afwef/vv4eeHW/rXvlf5X8QU4Sz7id+8vrub5zRruM5xcqSzvNZcsGnenzunQVVws6qw9CM9Kb9t/qhw/JxyPheTUJSwOTZPUw6qQhUhGpPJMoi3OnOMqdVRcqsoQqxnCEq9eSjL2sox/J6y/wCCeXxml8D+CfBGs/tD/BqwtLrw7dfDP9oW68A/sx/EPS734yfCRviPb/E+GDQNe+KH7Xnxl8c+DvjZrPiLUfiDN8Q/jh8RPGnx1uviBffEvxP4q1HwZY+OTbeKU/WGiiuBzk1UTtarXlialopc1aVNUubRJKMaftI06cYwp0lXrqnCEaqp4f0VBc6qtznUVKNDnqVJ1JumqkqvvSnKUpznNwdSrOUqlX2OHVSUnRUqpRRRUFhRRRQAUUUUAFFFFABRRRQAUUUUAFFZWh67ofibSrLXvDes6V4g0PUojNp2s6HqNpq2lX8KyPE01lqNhNcWd1EssckRkgmkQSRuhO5WA1aOifRqMk+jjKMZxkns1KE4Ti02pRnCUXKM4Skd/JtPycZSjJPs4yhOMk7OMoSi0pRlGJRRRQBwfxD/AOQLa/8AYUg/9JL2vG69k+If/IFtf+wpB/6SXteN0AfwQ/8ABar9sj9r34Xf8FMP2kvAPwy/aq/aQ+HXgTw6nwcj8P8AgrwJ8cfid4R8JaEmq/AT4Xa9qiaN4c8P+KNP0fS01LXNV1TWb9bKzgF5qupX+o3AkvLy4mk/LL/h4N+3v/0e9+17/wCJK/Gb/wCbSvr3/gvL/wApXf2qv+6G/wDrN3wfr8ha/dsowmEllOWSlhMLKUsvwcpSlhcNKUpPD023KUsNKUm3q3KTberbep+LZrisVHM8xjHFYmMY47FKMY4nERjFKvNJRjHERiklokkkloklofXv/Dwb9vf/AKPe/a9/8SV+M3/zaV/fB/wRX+IXj74qf8Ezf2avHvxP8ceL/iP4517/AIXJ/bnjPx74l1rxh4s1n+y/j/8AFTRtM/tXxF4hvdR1jUf7O0fTtP0qx+2Xk32TTbGzsbfy7W1giT/Nir/Ru/4INf8AKKL9lX/uuX/rSPxgr53jjD4ellOHlSw9ClJ5hSi5UqFClJxeHxLacqdGnJq6Ts5NXSdrpNe9wbXr1czrxq169WKwNRqNStWqRT9vh1dRqVqkU7Nq6Sdm1ezaf7Ha5/yGtY/7Cmof+lc1Zdamuf8AIa1j/sKah/6VzVl1+Vn6WFamn/8AHprn/YLh/wDT1o9Zdamn/wDHprn/AGC4f/T1o9AGXRRRQAVqTf8AIF0//sKax/6SaHWXWpN/yBdP/wCwprH/AKSaHQBwmgeJP7c1Xxvpn2L7L/whvii08N+f9o8/+0ftXgvwh4v+2+V5EP2Py/8AhKv7P+z+ZdbvsH2vz1+1fZrfp65jQPEn9uar430z7F9l/wCEN8UWnhvz/tHn/wBo/avBfhDxf9t8ryIfsfl/8JV/Z/2fzLrd9g+1+ev2r7Nb9PWGHlz0lL2vtv3lde05PZ35MTiYcnLp/C5PYc32/Ye0/wCXl36Oa0fq+NlS+p/ULYbLZ/VfrH1nl9vlGU4n2/tru/136x/aPs7/AOz/ANofVbL6rZFamsf8fcP/AGC9D/8ATLp9Zdamsf8AH3D/ANgvQ/8A0y6fW55xl0UUUAamj/8AH3N/2C9c/wDTLqFZdamj/wDH3N/2C9c/9MuoVl0AFFFFAGpD/wAgXUP+wpo//pJrlZdakP8AyBdQ/wCwpo//AKSa5WXQAUUUUAamsf8AH3D/ANgvQ/8A0y6fWXWprH/H3D/2C9D/APTLp9ZdABWpof8AyGtH/wCwpp//AKVw1l1qaH/yGtH/AOwpp/8A6Vw0AZdFFFABXUeHv+Xf/saPDH/uWrl66jw9/wAu/wD2NHhj/wBy1AHvFFFFAH+fp45vPh5p+rW8Pw18WeM/FuhNp0Mt3qXjnwHoPw81aDVmubtJ7K30XQPiP8T7O606OzSwnh1SXX7O5nubm7tH0e3isob3UM7wnqHhK81+wtvHOveIvDvhaT7V/ams+E/C+l+M9fs9llcyWX2Dw1rHjDwHp2pfaNRW0tbr7R4s0r7HZT3N/D9untYtNvPAv7aH98/99H/Cj+2h/fP/AH0f8K/0njiJqh7D61iJS9m6f1mU6TxN2pL2vOsPGj7WPMnGX1XkTjG9KVmpf5tSwqdf2/1fDxj7RVPq0YVVhrJxfsuR4iVb2UuVqUfrXO1KVqsbpx/ugk8aaj8O/wDgnJ8PPE/wu8T6hpVxbfs6/A/R/CPxD1nw94btdU8KaX4n8P8AgfwrbfFDWPCur6x4i8I2t54K0bWW8d6noGp614l8O28ujT6fd3fiDTkkN71P7Mfij4v678Lvjh4L1L4oQfF34ifB34u/FX4QeCfjN8RfDnhSwuPG0+gabpGreHNX+J2g/BvRPhx4Ju9T8Laz4kk8E+M4fhx4b8A2WqSeEL0QaT4b1ue+S26b9lLQ9B8YfsQ/s2eGvFOi6R4m8M+KP2Vvg5oniLw74g02z1nQtf0LWvhJ4csdW0bWtI1GG50/VdJ1Swubiy1HTr63ns720nmtrmGWGV0b1zwB8E/gz8KNI8G+H/hb8JPhj8NdB+HXh/XvCfw+0TwB4C8K+DdI8C+FvFWraZr3ifw14N03w7pOnWfhjw/4j1zRdG1rXtG0SGx07WNW0nTNR1C2uLywtZov85s1g1nfEyq1Ks6eKx2YUKco1HGtTqQzbMnKuqijFUat4VWqmFjSnUeY4qVVKWCy6NP/AEUypuWUcMypxp03hcuwNWrDl5qVVTynLPZUXTcpe0pK9OlOniJVFTpYKh7GTqYvHTl+OuqfHn9tzVvh1+xz8QoPi3p8/h7wT4E8b/Fb9tXU/hz4k+Bnwt8Z/EnT9D+LnhPwb4fsPAvwS8f/ALM37WvibW/Dms2OneP7G38J+G/FvwBkkmu9L0y7/aj07xBZx3d7+7FeN63+zr+z74lvfhhqXiP4FfBvX9R+CWvXXin4Mahrfwx8E6re/CLxPfTx3V74j+GF1faHPP4B168uYYbi61fwpJpOoXE8Uc0tw8kasPZK4aLlHB06FVQnXjXdadaEeVT58vyjD1Vq3NRnjMDisRRoJQo4OjW9lTeIq4rGYmPdKLeIdSMmqKw/sYU5NykmsxzbFRlJ6Kc4YbG4bDzrycq2IlQXMsPQwmDoVCiiigsKKKKACiiigAr86/8Agqz8dvit+zZ+wz8XvjF8E/FI8F/Ejwve/D2HQfER0Pw54jFimu/EXwtoOqKdI8V6RruhXIutK1K8tSbvTLhoBN59sYbmOKaP9FK+df2rP2ZfAf7YHwN8Xfs//EvVvF2h+DfGk/h241TU/A1/o2meJrd/DPiPS/E9gLC81/QPE2lRLNf6RbQ3YuNGujJZvPHC1vM0dxFz4mFSpTjClKUJfWcDKUoz9nJUKeZZbWxSjKz1lg6OMgo2aqc/smmqrT6cHOjTxFOdeKnSiq3NFw9om5YbFwp3g97VqlCX93l5/sI/FH/haX/BVCL9pnxN+yfN+2d8MH1bxr+ydp/7Wlv8Trf9lzwhPL8G107Xb+1vvhj8PNBOsW+ma/pGsapLY+G7vxp8Vk8XaofDyQanpejaL4kWddSzD/wUT/aV+Jn7DH7D/i7Sfj74b+D/AMdfjqvxftfFd14C/Z/1f9or9oj4s33wY1LXvDul2HwM/Z90bwncfDW81fx7qGkW9x44vfGmv/DXwj4bnvkl8M6rZWqTaXbfs5/wx58M/wDhoSb9pT+3PHX/AAnU37N7fsvNpP8Aafh//hEx4AbX4vEZ1dbH/hGP7YHjD7dCsQ1A66dF+ylk/wCEf84icfJDf8Edf2drL4Zfs9/D3wf8Xf2pPhnrf7M//Cxbb4bfGP4Y/FXRPBHxjGjfFLX9V8R+LfD+seJtG8CQ6PLpVzf6xcxW7aR4a0bVItPBsJNSntrzU0v+qpy1FKj8FKpicFOVSCtWo06HE3GVT923JOUKXDWI4Nw9WjOrbGPDYz6wsbmeGnVzDjoqcIYecmpYinhuWpGbboVK9fhPh7C4vnUIt68TYfPMVhqtOm54b21Krhlh8HiZU6P5k6d/wUl/bp8QfsJeBvGul+OYtA+PWnf8FKNI/ZMuvG3xC+D/AIR8K3/jjwZe6DqOsxWHxU+GFvputaL4G1qHVr+x0LxhYeAJrLWdFh0F9P07Xm1hdQ1bUfW/iT8SP26PDnxD/bs/YY+MP7VXh74tJcfsB+LP2jvBXxds/gH4C8Can4Rs9O1ZNG8U+AIPBWiTyaXf6b4u0C58Q+GptW13W9f1nSEOi+JNIvbTUIb7Tbn780z/AIJI/s16L8Nbb4S6R4w+OVp4J079rPSv2xdIsrjxt4e1vUdK+I+j2H9m23hqHXPEXgnWNZ1DwJNbhHvoNdvtW8Z312hvLnxtJdT3Us/0X4k/Yq+EPi79o3xv+0x4ivfGepeLfiF+znqf7L/ifwlJqujx+Abv4baxrA1nUp4rCDw/F4mg8SXMhezbUF8VtYJZSOsekpdbLpObGU3icHj6XJTdbHYPNaM4SV6PtK/h7kWBwMIKceSjD/XrAY/FVJU6dO2FxVXEVoSwmOxuAqdOFqLD1sLUvUjHB43B4qg4tKso0+P5ZlVjUqRk3WlDgyvVwVONWpUprFUqVClJ1MLluMw/4FfAvxv+3j8N/gX/AMEl/gT8Hv2tdM0KP9rix+K4sdV1f4B/DDV7X4S/DTQfh18P7vw34ZhsNQiuLzx3qfw6mk8Y+KtF1y81rw7deK9Y1ex0bxXDe6Fp0Vu/on7dv7ZX7Z/wO8TfEbwX8Lf2ytQ8V+Iv2ZvhZ8OT438O/A/9jPSvjD4k8R+I77wbca94x+K/7VvizxJ4W0P4Qfs0+D7/AFu1gtdI0z4ZeJ/Heo6XoGrwXOo+FI7uwurlv0t+CX/BKX4J/A3Xf2etc0j4yftN+Of+GYPFfxD8UfCPR/iZ8RPCnijQ9Bh+JXhLRfCGteEobGD4d6U2m+DLC20VdX0XQ/Dc+gi21/UtW1C8udQS8FtFF8aP+CS/7PHxt+KXxh+JurfEn9pfwRa/H/SIrH4yfC/4Y/GKfwd8JviJq9h4dvPD+g+LPFfhSHQby61vXPDctxaeIdHsdR1m58InX9KtptT8L6lpuoeIdL1rqzCrUr1Pa4ebVSpjs7x8qlS0qlN+wyWHD2EqSqKpGrQoxw+b0sW4Qq82Ir4bE1aGKUva4DnwVOnQpwpV4xlGlgcswVqacKdSTzLPK2dYqlCn7OVKrVw9bI5YSNRwVOjQxmFp1MNJ8uL+H9X/AGpv29f2j/2kfgN8KPgp8fPC/wCzRpXxZ/4Jw+AP2pvGCXPwb8G/FCPwx431W+kv9Yk8I2Hi2yi1eW51O5bS/CyWniXxHfaFo/hi71fVYtHv/E9vp1y3jXwX/b0/4KFal4P/AOCdX7TXxH+Nfw+1v4aftGftJaF+yn4v+BuifBbw/wCHV8SW39veIfBN98Ydc+Is9xqOvJ4z1LUdOv8AVpNE8CWfgnwJZX+kaNHa6D/Z9zrmjSftB8Mv+Cf3wh+FnxU+HXxf0bxf8VdZ8VfDL9lnRf2RdDi8R634Tu9Kv/hroNzHc2Ota3Dp3gjSr678cZijhn1W01Gw0WWJc/8ACOrMWmPEaJ/wS/8AgFoPwd/Za+CNn4v+MEnhT9kf452/7QPw31C51/wW/iHW/GVt4s8QeMo9M8b3cXw/h03UvDJ1PxJfQPZaDpPhrVTYRWkS60txHNdT9FOeGpY+NWML4NZrDEOlUg6iWCrcacW4nFU1CpKbahwXjuH8BQw/PKFOtRnCg447A0swWE4V54CpScmsV/ZlTDU5wmoP61HgvC4WhUlVik+b/XHCwxc8RJe1nQlVrVnLD4rF4Wt9ceO7zxy3iy20y78O+E4PhJ/wjsN+vje38Z6xdfEY/Eb+0ry3HhU/C2XwHZ+GR4JPhktq58fj4wtro10L4dHw1OnsfFC815Oi/wDQQ1T/AME9p/8ALyvUPiH/AMgW1/7CkH/pJe143XIdJ/nLf8F6xAv/AAVi/atFvJLLCP8AhRmySaFLeVv+MbPg6W3Qxz3KJh9yriZ9ygMdpYov5AV+vX/BeX/lK7+1V/3Q3/1m74P1+Qtfv2Tf8ijK/wDsXYL/ANR6Z+H5t/yNcy/7D8X/AOn5hX+j7/wQUj0tv+CTv7KRuLy/imP/AAvPfHDptvcRL/xkn8Ygu2aTVbZ3ym1mzCm1iVG4KHb/ADgq/wBG7/gg1/yii/ZV/wC65f8ArSPxgr5vjz/kUYf/ALGNL/1HxJ9BwV/yNcR/2AVf/T+HP2g1iLSDq+qmW+1JJDqV8ZEj0q1kRXNzLvVJG1iJpEVshXaKMsAGMaE7Rm+Tov8A0ENU/wDBPaf/AC8o1z/kNax/2FNQ/wDSuasuvyU/UDU8nRf+ghqn/gntP/l5WlYxaQLbWNl9qTKdNiEpbSrVSif2vpRDRqNYcSOZBGhRmiARnk8wtGsUnM1qaf8A8emuf9guH/09aPQAeTov/QQ1T/wT2n/y8o8nRf8AoIap/wCCe0/+XlZdFAGp5Oi/9BDVP/BPaf8Ay8rSli0j+yLEG+1IRjUtVKONKtS7ObbR/MVo/wC2AqoqiIo4lcyF5FaOMRq0vM1qTf8AIF0//sKax/6SaHQByvh7X9I13V/HWludStF8GeKrPw1FcLZ2tydUS68EeDvGBv5ITqNuNPeOTxXJpgtFmvw6acl/9rRr1rGy6rydF/6CGqf+Ce0/+XlcJoHiT+3NV8b6Z9i+y/8ACG+KLTw35/2jz/7R+1eC/CHi/wC2+V5EP2Py/wDhKv7P+z+ZdbvsH2vz1+1fZrfp6ww8uekpe19t+8rr2nJ7O/JicTDk5dP4XJ7Dm+37D2n/AC8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf8A2f8AtD6rZfVbLU8nRf8AoIap/wCCe0/+XlaWqxaQbmLzL7Ulb+zdHACaVayAoNIsRExZtYjId4wjyJtIjdmjWSVVEr8zWprH/H3D/wBgvQ//AEy6fW55weTov/QQ1T/wT2n/AMvKPJ0X/oIap/4J7T/5eVl0UAdNpUWkC5l8u+1Jm/s3WAQ+lWsYCHSL4SsGXWJCXSMu8abQJHVY2kiVjKmb5Oi/9BDVP/BPaf8Ay8o0f/j7m/7Beuf+mXUKy6ANTydF/wCghqn/AIJ7T/5eUeTov/QQ1T/wT2n/AMvKy6KAOmii0j+yL4C+1IxnUtKLudKtQ6uLbWPLVY/7YKsjKZS7mVDGUjVY5BIzRZvk6L/0ENU/8E9p/wDLyiH/AJAuof8AYU0f/wBJNcrLoA1PJ0X/AKCGqf8AgntP/l5R5Oi/9BDVP/BPaf8Ay8rLooA6bVYtINzF5l9qSt/ZujgBNKtZAUGkWIiYs2sRkO8YR5E2kRuzRrJKqiV83ydF/wCghqn/AIJ7T/5eUax/x9w/9gvQ/wD0y6fWXQBqeTov/QQ1T/wT2n/y8rS0eLSBq+lGK+1J5BqViY0k0q1jRnFzFsV5F1iVo0ZsBnWKQqCWEbkbTzNamh/8hrR/+wpp/wD6Vw0AHk6L/wBBDVP/AAT2n/y8o8nRf+ghqn/gntP/AJeVl0UAank6L/0ENU/8E9p/8vK6PQo9LHkeVeX7/wDFR+HSPM023izOP7U8mM7dVmxFJmTzZhl4dqbIJ97eXxFdR4e/5d/+xo8Mf+5agD3iiiigD/MM/to/3j+Z/wDiqP7aP94/mf8A4qsP4i/G74o/GDW7XxL8WviX4/8Aij4jsdKg0Ky8QfEXxh4g8ba3Z6JbXd9qFto9rqviXUdTv7fSre/1PUr2DT4p0tIrvUL65jhWa7uHkyvBXxR8bfDbxNpnjX4deM/FXgHxlov2z+x/FvgrxBqvhXxNpP8AaOn3ek6h/ZmvaFeWGq2H2/Sr++0y8+y3cX2rT7y7s599tcTRv/eqx9b2N5eyWI5H7salV4f2mvKvaOmq/s78t5ey9ok5Wg2o3/hF5dS9taM6rw/OvelTpKv7PS79mqjoe0tzWj7X2bajeaTlb/RX/Zi8f+FPhn/wT6/Zv+JPjrVhong/wb+yF8FfFPiTVvsWo6nLZ6Rpfwf8MX15JbaVo9pqOs6vetFGY7DSNG0/UNY1a9eDTtKsL3ULm3tpfafhp8f/AIS/Fn4X3Xxk8J+KJ7L4f6WfFEfiXUfiD4Z8W/CLW/A1z4Iur6z8Y6f8SfBXxZ0LwV43+Geq+F5dNvJNe0jx/wCHPDep6VZxpqF5aQ2E9vcy/Mnw68N+Pf2gP+Ca3wHtLTxIurfFXxj+y/8As6+OtM8S+Ptc8QzW3iL4maP4N8AfEPSbr4geI7FdT8T3Ol+JvF+k2sfjXV4YNY1e507UdVu2stXuZGs7r0X9m/4Y/GHwlo/jWX42+GfhGNa+OPj34lfFX4paB4E8deKPHHhXwPrOsw+B/CXgr4eeE73xb8KfA138UvD114F8N3N54y8deItE+GN1b+JoI7HSfhzqOj67JdeHP4VzF1aub8RKXs6co4rG1MJOaqOi8VPMsdKpGTUo1MRTfNilKMfq1SisJhk5ueawnhv7gy9Qp5Zw8qanUpywWFji0uRVYYelluXqm435qdGq4Royg2q9OvUxNakoqGXTdatcft8/smxaH8D/ABTa/FWXXfCH7RVvFqPwp8aeEvh/8T/GngnUfD114i0TwjYeNfF3jPwl4L1rwx8LPh3qvifxL4f0HRviP8VdW8FeBNa1TWdNs9K8RXk15Ar/AGHX5D+IP2Jf2jbf4f8Agb4ZeEL74LX+j+N/hjd/A79oLxB4l8c/ELTL7wH4IX40al8S7Hxr8GfDmnfDbWtL+JHi248P+KfF3h2+8L+MNT+EVhHq7+GNak8aappuh3Hh/U/14rjov2mFVWpGVKtKrSSpT5VONOeW5fiK0ZxjeN8Ljq9fCKvGSp4tqu6dOEcA5VuuXPHEyprlnRjQb9rFSUZVY47HUYuLlJytWwlGjXdGS58OlQlOc3mChQKKKKZYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcH8Q/8AkC2v/YUg/wDSS9rxuvZPiH/yBbX/ALCkH/pJe143QB/Fl/wVv/4JG/8ABQv9pb/goH8efjn8E/2ff+E1+Fnj+L4VzeEfFP8Awtf4I+HP7Wi8M/Bn4e+CNcb+xPFvxK0HxHYfYvFHhnXNM26npFk1z9h+22guNPubO7uPze/4cN/8FXf+jVf/ADOX7N3/AM+Cv0T/AOCuv/BXj/gof+zN/wAFB/j38Cvgj+0J/wAIT8K/h/F8KofCPhb/AIVP8D/En9kReJ/gv8PPHGuL/bni74aa94jv/t3ijxPrmqbtT1e9a2+3fYrM2+nW1naW/wCbX/D+z/grH/0db/5gz9mz/wCc7X6/ln+tH9nYD6v/AGF7D6lhvYe2+ve19l7GHs/a8nue05Lc/L7vNe2h+V5j/q39fx3t/wC2vb/W8R7b2X1L2XtfbT9p7Pn97k5r8nN73La+ppf8OG/+Crv/AEar/wCZy/Zu/wDnwV/an/wSU+A3xX/Zk/4J8/s//A/44eFP+EI+KPgj/hav/CT+GP7c8N+JP7M/4SX42/Ejxdov/E68I6xr/h69+2+Htf0nUP8AiX6td/Zvtf2S78i+gubaH5q/4IO/tc/tC/tnfsh/Eb4oftK/EH/hZHjrQf2kPF/gHSdc/wCEU8EeD/snhPS/hj8H/ENjpP8AZngHw14W0efyNY8U69efbrnT5tSl+3fZ5ryS1tbOC3/bCvjOJM6zPFTq5Tj6eBTwWLUpTwka6UqsKXL7sqtSV4ONfrCMuZdEtfreH8oy7DRp5pgZ4xrF4VxjDFSotxpzqX1jSpq0+ah0nJWfVvTU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmrLr5M+nCtTT/8Aj01z/sFw/wDp60esutTT/wDj01z/ALBcP/p60egDLooooAK1Jv8AkC6f/wBhTWP/AEk0OsutSb/kC6f/ANhTWP8A0k0OgDhNA8Sf25qvjfTPsX2X/hDfFFp4b8/7R5/9o/avBfhDxf8AbfK8iH7H5f8AwlX9n/Z/Mut32D7X56/avs1v09cxoHiT+3NV8b6Z9i+y/wDCG+KLTw35/wBo8/8AtH7V4L8IeL/tvleRD9j8v/hKv7P+z+ZdbvsH2vz1+1fZrfp6ww8uekpe19t+8rr2nJ7O/JicTDk5dP4XJ7Dm+37D2n/Ly79HNaP1fGypfU/qFsNls/qv1j6zy+3yjKcT7f213f679Y/tH2d/9n/tD6rZfVbIrU1j/j7h/wCwXof/AKZdPrLrU1j/AI+4f+wXof8A6ZdPrc84y6KKKANTR/8Aj7m/7Beuf+mXUKy61NH/AOPub/sF65/6ZdQrLoAKKKKANSH/AJAuof8AYU0f/wBJNcrLrUh/5Auof9hTR/8A0k1ysugAooooA1NY/wCPuH/sF6H/AOmXT6y61NY/4+4f+wXof/pl0+sugArU0P8A5DWj/wDYU0//ANK4ay61ND/5DWj/APYU0/8A9K4aAMuiiigArqPD3/Lv/wBjR4Y/9y1cvXUeHv8Al3/7Gjwx/wC5agD3iiiigD/Jf/tn/b/8fo/tn/b/APH6ofFHw94W+H/iCz0bwn8aPhx8cNOudHt9Tm8WfC7Tfi9pPh/T72a91C1k8O3lt8avhX8IPFL6xaQWVtqVxPYeGr7w+1lq2nx2uuXOox6rYaZj+AbHRPGPi3SfDniL4j+EPhTo+o/b/tnj7x9Z+P8AUfCWg/ZNMvL+3/taz+F3gj4k+Opv7UurWDRbD+w/BeteXqeo2cup/wBnaOmoatYf2Isyi6ftU3ycrndwrKXKr3/dOkq19H7nsed6Wg7q/wDIryqSqeycVz8yhZTpuPM7W/eKo6VtV73teRa3mrO3+on+wK/mfsKfsVydfM/ZL/ZyfPXO74PeDW6/jX1pX53fCHxpqnwV/wCCX/7OXiD4eav4Q8eeIdB/ZO/Zn8K/D3xR/ZnjWf4d+I/EniTwJ8O/Angrxhd6TfaV4N+IT/D+41nW9K8SalZalpHg3xYPCouYtStvC2qC4/s+9ov7Rnxv0f8AZt+OuseNk+FviL9oL4KfE/WPgZH4l8JeDvG3hn4O+L/G+saj4Ms/hz44k+HF7458d+OvCnhJLf4meEbrxz4SPxQ8T39k2keJl03xz9hlstTtf5Ex9VVcxzl04znKhjK9ZwUbTqrF5q6FOFFVJU1Koq2Z5dGoqssPGn9dpNzapYz6n/WGBh7HAZPGpKMFXwVKEZtuUKccFlSr16lVwVRqmqOWZjKDpxryn9SrKML1MJ9c/QOivxY8U/tn/tt+EvEXgXwpqHhDwJrPh/4T/FT4p+Fv20f2jPA37Ot7rXwf0jwT4H1n4Oah4X8QeHvC3j/9uv4ReKvhHe+KvAXxN1i51TSPDuv/ALaHj/Rde8JXc/h74VeOdEl8wftPWEF7TDwxUJRnQq1OSnJXUpxeHw+Ko1vZzjCrTo4mhiFVwsq1OjOvTo4ipCk6VL2093NKq6ElKNWNOU6kHZunKni8VgqtGcoynTdajiMLONaNKpWjTVXDc1SM68aUSiiipLCiiigAooooAKKKKACiiigAooooAKK+Iv2yf2jfiR+zTq37MfiTQdF8Iat8JviH+0N4N+DHxuvdd07XrnxB4V0T4kM+keFPFfhjUdL1yw07TF0/xKkVnrH9taLr8F8mo2FrbLpsrPdn847z/grf8ZNP8P8A7fOr3vww+HsM3wc1TTrf9jdI7bxHeD4w6Xq3x58cfs3WmpeM7W08Wy3WqlPiT4TVHg0BvBbzQfbLNBHE+n63cZ06iq+0VKNSrUpyxcHRpwcq06uEqZDS9hSpJ3qV8XLiPLpZfRi1Ux1OOOqUVGGBrOVypuHs3NwhCqsJKNSc4wpKGLecR9rOpK0YUsK8kxrzCrK1PAxnhJ4iXs8VGdL9+aK/nz/bv/4KgftW/ska7Loqy/sMeFbnwV8Pvhzd+JNC+Jnizx74t+J3xn+JPijwlN4k8TWPwi+EPwb8WeIfGHwr8G6NfWV34d07X/2gR4e8Paje3OlXVr40vrW7Ut6b4m/4KA/tj/Fn4+fs1/Br9kb4dfs82Mf7Q/7FPgf9q6XUf2gH+I93b/DyTxFrl4dYstU1T4d6zaS6/plvpFtaeHtH0+x8N6fe3XifVrXWb3WrXRra50ut6UHXnGFFwq82ZYjK1OnOMqXt8Nhsyxs6zq/w1g5YTKMxxMMQ5XVGgpVsNhp18NRr5SkoRUqvNSTy6GaL2sZQl9XnPJ6fsuRp1Fi41M+yunPDOnFqpXqQjXqSw2K9h+wfxD/5Atr/ANhSD/0kva8brsvGV38QT4k0/StW0DwavwuXwvaX1x4707xdrb+PpficL+6tpfDEPwmufBEfh2DwG/h3zNZj8dP8aLjxBFrWzw03w6msS3isYPk6L/0ENU/8E9p/8vKlqzaunZtXi24uzavFtRbi7XTcU2mm0m2k4vmjGXLKPNGMuWatOPNGMuWaTklKPNyySlJKUZJSkkpS/wA2v/gvZ/ylj/at/wC6F/8ArNnwdr8f6/YX/gvkIF/4Kz/tXi3kllhH/Citkk0KW8rf8Y1fBwtuhjnuUTD7lXEz7lAY7SxRfx6r99yb/kUZX/2LsF/6j0z8Qzb/AJGuZf8AYfi//T8z+8D/AINfP+TBPi9/2eB4/wD/AFS/7P8AX9IFfzmf8Gukent+wD8Xzd3V7BJ/w2H4/Cpb2EF0hT/hS37PuGMkuo2bByxYFBEwACsJCWKr/SP5Oi/9BDVP/BPaf/LyvxziT/kfZt/2GT/9N4c/WOH/APkSZZ/2CR/9OVw1z/kNax/2FNQ/9K5qy66bWItIOr6qZb7UkkOpXxkSPSrWRFc3Mu9UkbWImkRWyFdooywAYxoTtGb5Oi/9BDVP/BPaf/LyvEPYMutTT/8Aj01z/sFw/wDp60ejydF/6CGqf+Ce0/8Al5WlYxaQLbWNl9qTKdNiEpbSrVSif2vpRDRqNYcSOZBGhRmiARnk8wtGsUgBzNFank6L/wBBDVP/AAT2n/y8o8nRf+ghqn/gntP/AJeUAZdak3/IF0//ALCmsf8ApJodHk6L/wBBDVP/AAT2n/y8rSli0j+yLEG+1IRjUtVKONKtS7ObbR/MVo/7YCqiqIijiVzIXkVo4xGrSgHmWgeJP7c1Xxvpn2L7L/whvii08N+f9o8/+0ftXgvwh4v+2+V5EP2Py/8AhKv7P+z+ZdbvsH2vz1+1fZrfp6yfD2v6Rrur+OtLc6laL4M8VWfhqK4Wztbk6ol14I8HeMDfyQnUbcae8cniuTTBaLNfh005L/7WjXrWNl1Xk6L/ANBDVP8AwT2n/wAvKww8uekpe19t+8rr2nJ7O/JicTDk5dP4XJ7Dm+37D2n/AC8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf8A2f8AtD6rZfVbLLrU1j/j7h/7Beh/+mXT6PJ0X/oIap/4J7T/AOXlaWqxaQbmLzL7Ulb+zdHACaVayAoNIsRExZtYjId4wjyJtIjdmjWSVVEr7nnHM0VqeTov/QQ1T/wT2n/y8o8nRf8AoIap/wCCe0/+XlABo/8Ax9zf9gvXP/TLqFZddNpUWkC5l8u+1Jm/s3WAQ+lWsYCHSL4SsGXWJCXSMu8abQJHVY2kiVjKmb5Oi/8AQQ1T/wAE9p/8vKAMuitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygAh/5Auof9hTR/8A0k1ysuumii0j+yL4C+1IxnUtKLudKtQ6uLbWPLVY/wC2CrIymUu5lQxlI1WOQSM0Wb5Oi/8AQQ1T/wAE9p/8vKAMuitTydF/6CGqf+Ce0/8Al5R5Oi/9BDVP/BPaf/LygA1j/j7h/wCwXof/AKZdPrLrptVi0g3MXmX2pK39m6OAE0q1kBQaRYiJizaxGQ7xhHkTaRG7NGskqqJXzfJ0X/oIap/4J7T/AOXlAGXWpof/ACGtH/7Cmn/+lcNHk6L/ANBDVP8AwT2n/wAvK0tHi0gavpRivtSeQalYmNJNKtY0ZxcxbFeRdYlaNGbAZ1ikKglhG5G0gHM0VqeTov8A0ENU/wDBPaf/AC8o8nRf+ghqn/gntP8A5eUAZddR4e/5d/8AsaPDH/uWrL8nRf8AoIap/wCCe0/+XldHoUeljyPKvL9/+Kj8OkeZptvFmcf2p5MZ26rNiKTMnmzDLw7U2QT728sA9pooooA/xt/7W9/1/wDrUf2t7/r/APWry/8Atg/3m/Nv8KP7YP8Aeb82/wAK/pn66/P8f8j+dPqPkj/Wh/Yn8DeFPip/wTC/Y9+HvjrShrng7xz+wx+zp4c8SaUL3UdMkvdI1n4EeDLW8jttV0e70/WdIvVilMthrGjahp+saTepBqOlX9lqFtb3MXr2g/sgfATw58Lr34NWHh3xhd/D3WPD3xG8OeJNM8Q/GL4z+LdY8ZL8WNUsda8ceJ/HvjLxV8QdZ8a+PviVf6lp9vc6R8WvGfiHXfij4RD3kHg/xfoNvqWow3XC/wDBNp/M/wCCdf7A8n/PT9iz9ll/++vgb4Fb+tfadfzbjowljcyfLH/aMViYVtLOrCGLxjpxm04yag5twtKEotQlGalRw88J/QeDbjhMv11oYWg6Tdn7OVTB4SFVwUlJL2kYKM04yjOLnGUHGrXjifjbTP2BP2XNItfh5a2PhDx2h+G+r65rdpf3Hx9/aEvtb+IN94l8Rr4v12P9oPxBffFO51z9qLTNT8TKut3OiftJ6j8V9Fa/zKunruYH7JoorG7UXBO0HUnV5IpRh7WcacJzUIxhBSlClTj7sIRUYqMKdNSqKtsoQT5lFKSpxpc2rl7OE6lSMHJuUnFTrVZ+9KUnOblOdRqDpFFFFIoKKKKACiiigAooooAKKKKACiiigD5w/a2/Z10z9q39n74gfA3UPEU/gy58W22k3fhzxxZ6Z/bF94I8YeGNe0zxR4S8WWOmjUtGe9n0TX9HsLt7OLV9LkvbZbiyF/arcNKv5/t/wSA8Gz6j+wrdXnxblnsv2QtLtbLx7p6fD2GEftFXWneOdO+Kem3XiCc+M5T4Ut4fiVban4ou7KeHxsb0a5qNk11C8017cfsfRRR/2et7ej7lV4vAY5y3TxWW0sXRwVZwlzQvSp42spR5eWtKGEnWVSeAwEsIVf39F0KvvUnhcdg3Da+GzGWGljKTlG0nGq8LT5W5c1FTxUaLpxxuNjivxm+OP/BJrxZ8T/jH+1L4+8BftgeKfhD4B/bD8K2uh/Gz4dWXwZ8AeM9d1q+0fwnd6DoEGm/FTxBqEfibQPAsOq/2ZqmveCdCstMuvEGkxat4cPirTY9Q0rU/Dv0F8Ff2B7z4S/Hn4C/HK/8AjBH4su/gn+xT4a/Y9l0CP4eDw+viv/hHNci1eP4jf2mvjbV10J7uKFLWTwkml6qkUm65TxGykWq/ovRRh/8AZYUKdD3I4eKhRT99whHB5vl8IKU+aThSwWe5rhqMJNxo0sXJU0pwp1UV/wDaJ1p1veliFV9s17im69fJ8TXk1Dlip1sRkGUV6s0lOpVwUJSaU6kJcH8Q/wDkC2v/AGFIP/SS9rxuvZPiH/yBbX/sKQf+kl7XjdAH+b//AMF7P+Usf7Vv/dC//WbPg7X4/wBf0Jf8Fsf2NP2v/in/AMFNf2lPH/wx/ZT/AGk/iN4D8Rp8G5PD3jbwH8DPif4v8I68mlfAL4WaDqj6N4k8P+F9Q0bVE03XNK1TRb9rG9nFnq2m3+nXBjvLO4hj/K3/AId6/t9/9GO/tgf+I0fGj/5iq/dsoxeEjlOWRli8LGUcvwcZRlisNGUZLD001KMsTGUWno1KKaejSeh+LZrhcVLM8xlHC4mUZY7FOMo4bESjJOvNpxlHDyi01qmm01qm1qf2Af8ABr5/yYJ8Xv8As8Dx/wD+qX/Z/r+kCvwH/wCDcz4N/F74H/sSfFLwn8afhV8SPhB4p1D9qjxv4hsPDXxQ8DeJ/AGv32gXfwk+B+m2uuWejeLNL0nUbnR7nUdJ1Wwt9Thtnspr3TNQtY52nsrmOP8AfivyLiKUZ55mk4SjOEsXNxnCUZwkvZ4fWMoSnGS0esZSWj10dv1LIYyhk2WxnGUJRwsVKM4yhKL9pX0lGUYyi9Vo4p6rTVX1Nc/5DWsf9hTUP/SuasutTXP+Q1rH/YU1D/0rmrLrxj1wrU0//j01z/sFw/8Ap60esutTT/8Aj01z/sFw/wDp60egDLooooAK1Jv+QLp//YU1j/0k0OsutSb/AJAun/8AYU1j/wBJNDoA4TQPEn9uar430z7F9l/4Q3xRaeG/P+0ef/aP2rwX4Q8X/bfK8iH7H5f/AAlX9n/Z/Mut32D7X56/avs1v09cxoHiT+3NV8b6Z9i+y/8ACG+KLTw35/2jz/7R+1eC/CHi/wC2+V5EP2Py/wDhKv7P+z+ZdbvsH2vz1+1fZrfp6ww8uekpe19t+8rr2nJ7O/JicTDk5dP4XJ7Dm+37D2n/AC8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf8A2f8AtD6rZfVbIrU1j/j7h/7Beh/+mXT6y61NY/4+4f8AsF6H/wCmXT63POMuiiigDU0f/j7m/wCwXrn/AKZdQrLrU0f/AI+5v+wXrn/pl1CsugAooooA1If+QLqH/YU0f/0k1ysutSH/AJAuof8AYU0f/wBJNcrLoAKKKKANTWP+PuH/ALBeh/8Apl0+sutTWP8Aj7h/7Beh/wDpl0+sugArU0P/AJDWj/8AYU0//wBK4ay61ND/AOQ1o/8A2FNP/wDSuGgDLooooAK6jw9/y7/9jR4Y/wDctXL11Hh7/l3/AOxo8Mf+5agD3iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOD+If8AyBbX/sKQf+kl7XjdeyfEP/kC2v8A2FIP/SS9rxugD+TP/gp3/wAF7f2wP2Nv22/jF+zL8Mfhv+zZrvgP4V2/w5t/D2rePPB/xQ1TxdeJ4z+Fngr4k6odZv8Aw/8AGLwvo1w8GueM9UtLA2OgacItJgsILhbq8iuL+6+Bv+Iob9vz/okP7H3/AIQHxp/+iBr4+/4L3/8AKWX9q7/uhf8A6zX8HK/H2v2HLMhyatluX1quW4WpVq4LC1Kk5Rqc05zowlOUrV0ryk23ZJXey2PyrMc6zalmGOpU8wxMKdPF4inThGUOWEIVpxjFXot2ikkrt6Ldn+sf+yx8UfEHxw/Zh/Zx+NXiyz0fT/FPxf8AgN8IPij4lsPDtve2nh+x8QfED4feHvFms2eh2upahq2o22j22o6tcw6Zb3+q6new2SQR3WoXs6yXMnvNfH3/AATz/wCTA/2HP+zPv2Z//VLeCq+wa/JcVGMMViYQSjCGJxMIxW0YwxGIhGK1ekYxjFavRLV7v9Pw0pTw+HnJuUp4fDzlJ7ylKhQlKT21cpSb0Wrei2Wprn/Ia1j/ALCmof8ApXNWXWprn/Ia1j/sKah/6VzVl1gbBWpp/wDx6a5/2C4f/T1o9Zdamn/8emuf9guH/wBPWj0AZdFFFABWpN/yBdP/AOwprH/pJodZdak3/IF0/wD7Cmsf+kmh0AcJoHiT+3NV8b6Z9i+y/wDCG+KLTw35/wBo8/8AtH7V4L8IeL/tvleRD9j8v/hKv7P+z+ZdbvsH2vz1+1fZrfp65jQPEn9uar430z7F9l/4Q3xRaeG/P+0ef/aP2rwX4Q8X/bfK8iH7H5f/AAlX9n/Z/Mut32D7X56/avs1v09YYeXPSUva+2/eV17Tk9nfkxOJhycun8Lk9hzfb9h7T/l5d+jmtH6vjZUvqf1C2Gy2f1X6x9Z5fb5RlOJ9v7a7v9d+sf2j7O/+z/2h9VsvqtkVqax/x9w/9gvQ/wD0y6fWXWprH/H3D/2C9D/9Mun1uecZdFFFAGpo/wDx9zf9gvXP/TLqFZdamj/8fc3/AGC9c/8ATLqFZdABRRRQBqQ/8gXUP+wpo/8A6Sa5WXWpD/yBdQ/7Cmj/APpJrlZdABRRRQBqax/x9w/9gvQ//TLp9Zdamsf8fcP/AGC9D/8ATLp9ZdABWpof/Ia0f/sKaf8A+lcNZdamh/8AIa0f/sKaf/6Vw0AZdFFFABXUeHv+Xf8A7Gjwx/7lq5euo8Pf8u//AGNHhj/3LUAe8UUUUAFFfgB+z5rP7DVn8c9Wl+J2reG4f+Cudr+1B+0xp+p2ug2PiXXP2wLrw/P4h+Ks/wAJ9H8a6b4Y0zWPiUv7Ez/s63Pw21TwY3jq2tv2ULGKP4batb3ln46h8L3I+QvHP7dus/tWfBX4aW95+2W3hPw18Lvh7/wRw+Kf7R/xM8CR/s9aZp3w4/aE8ZftlXXhr476d8TdX8afDjxV4W+H/izwNqPh/wAI6545+HHiXRtB0/4deItC8L2es+HdP0zVfEvh3W3gk8a8spwcXUx88qc5U5KphqeGzOeWKWJw9a8JYuGXPM6eCzCMaUOTOoQyqlUeJxuFw1Oq0HRjjaklOMMIsfFU6kHTxVSvgoYqVOhKheSpzzGOGWMy5KU5Vsrrf2g6dWjh62Iqf1eUV+CXwI/ag+OXxj+PfxJ+GB/a28Ra/wCKNe8Pft6aF8avgP4W8D/Ayz17/gn+fhP8UofA37KvjrQ54PhXd+OPCviD4n+BHPi7RV/aj1P4teGPjrd3n/CxfhH4e0v4ceHdW0Cbwf8AYB/ZB8J6F8R/+CN+pXHjfXNf0fwZ/wAE7vjV+0dYeDdW+Ev7Jdn4auvjR8Qdc/Z1m8S/EiSXwz+zd4e8T6N8QtRtvjPcaZqXxN8I+JPDfxP8RWPgjw43izxp4gvvF3xtvfi28HB4t4ed1Sw+Io4atGo1Oc+Wrg89zCryRgvZVoU8LksaVOvRq1cNXx2Kr4aNZf2Hniws4hqhTxLvz18PUxdN0l7sZPD/ANn0qV5vWlKti8e4ypVqdOtRwlGhjZ03TzfKHiP6ZaKKKkAooooAKKKKACiiigAooooAK+Jv28/2ztJ/Yf8Ag5onxLuvBB+Iev8AjL4j+E/hZ4J8L3njXQfhj4Zu/E/ik310tz4y+KHiqC58M/D7w3p+jaPrF/deItbt5dOhuLe2hv307TJb/WtL+2a+Kf29P2ffiv8AtIfA9PA/we8QfCGx8T6d4v8AD3ia48I/H34Z+GPib8HPiXpGlTSi98GeNrTW/Cfi3XfCtvOJ01Gw8ZeArS08ZaTe6fHBpOoabJfHVdO5sU6ypRdBSc1iMLzqKvJ0PrVH6yk+Wcoc1DnjKpClXqUoOpUp0K04ci6MMqTq2rcvJ7LE8vM7R9t9VxH1e/vQi0sR7GXJOpRp1HFUqlehCq61P59+Gf8AwVD069/ZW+Nv7Un7QPwD8ZfBHw/8F9RsLWKDwx4t8PfHHwR8XbXXrm20fwzc/A/4xeFbXQ/h98TTf+KZ28LavdeHb648N+GNVEQ1bxKkQv306l8K/wDgoz8Utb+JngT4L/tWfsf+MP2PPEn7QHgjxL4h/Z31y/8Aix4W+KmleOr3w14ffxBr3h3X38OaH4b1P4aeLrDSLnTLux0LxDZvqst5cSaXqVvompLp1vqvyN8Cv+CKPibTP2cv2wfg/wDFjxd8K/hZd/tMSfDNvCfgv9nS5+Lfjj4S/CrVPhJcrrvh7xjDcfHrxBqPj7xJq/iTxE8g8UaRf6tGLTRlvLPQvEdtHqllbeGvorwH+xd+278Y/jb8DPi1+3n8Sf2b9U0/9lbw74nHwe8Lfs66b8QYh45+IHi7w7H4avfHfxZ1DxzpekW+nXekw6dpurWOneCtLi0m51aSU22naBp9pNZazrjqcalPG0qab9rl1ODpxk4U6dCtwpxAsZUwlejUc6mfriNZNToYaNSODjTxEI03Gn/aGJwHNQlOEKMpP36eKxso1OVSqzxEM5yKWV0qtCrBQjkzyypnUMZiakfrLeE9rfmeAp435x/ZH/4KH/Ez4WfsE/sS6afA/wATv2zv2sf2m/HHxw8N/D/wfrXxLlsNe8TWPgT4reMBr+ueL/it43h8UHRdH8JeG30uC1uNXgubO306123F3o+g6PfajYfMHif9sX443Wk/8FfPGvxlf9qn4UyfDnxF+xbZad8EvBX7TMngjxn8Edc1/VpdC8Z6L8LPifYeH/iZ4Q0Lw7r2tWv9oXWveE/BSWXxK8IS2l3Pa6VJrCvp32D4S/4JZ/tS/Cr4BfsM3/wn+JXwL0v9rr9inxl8adU0yXxQ/jnWPgZ478I/Grxpruq694d1rWNP8K6T4+tvJ8Oajb2jGw8OWjy3F7rdjb3tk503xDa8t4t/4JZ/tt/FLwB/wUL/AOFqfE/9m/WPi1+2jqX7L+v6LqHhm9+JWgeBfDF78HtbbV/FPh68s7/wRrut6b4f0ixeHw14EvoJ/FGq+I7PS7fV/FCeH7/ULq3g9CU6U81rYhuDh9ar0pSklChTwrzfwrlgZYCFOKhWjUyvA8T4jH1q9L2+GxuExkKXLCccPmWtPlioU2+WlLMcJiU4tyqzazfxAq494uU1KVChSo4rh1YKlQapV8HiaXtKU3TcMB71+1L/AMFjvDX7O3xi8ZfBvwZ8H9A+KUnwY8PeG9Y+NOveNf2nfg18BNT0k69oEHiiDSPhb4R+JM6+JPjx4mtPDhkuNS0bwZa218muTaVoMUMt1rdlMe0+IH/BUnxRd/GH4I/B/wDZX/ZY1X9p/U/2gP2avDv7SngHUF+MPhn4SR23h7WvEGqaff6b4t/4Snwzq2k+Ho9A0TR729vtROvX19N4ley8HW2gPc3Q1OPwT9oz/glZ8c9b/aL+Mnxf/Z/sv2HPFuh/tG6P4R/4TWb9r74Mj4s+Mvgr4x0DSo/D+peLvgXHqfgrxn4cv5tVs1OtS6R4yig8PXOqRWum6hotzZWtre2/2P8ADr9iDxn8Nv20vg38d9M134eXHws+Fv7D9l+zDdWGlaFYeAfEuq+N7Tx1L4nuPEulfDfwN4M0j4YeF/CupW8sly2meHtR0qDStQuJNP03w6mnQxXB5cFaawUsY2pPHYypjVpTbVLLeI6/1X3Yyf8AZ1XMKHD1DBYuioVqn1uvTjOXtcRUy7jXtKVCUaUPehkuCjQhK87Yly4NoKo3zr/hRhCvxVVxeGqVKtKnHBw5ly0cLPMPsHxl4k1+68Saf4Lv/h74n0zQ28L2niy4+LT6l4Iu/hpF4kN/daTL8L4bS28Wt8XZ/GKWbP4lj1V/hLb/AA6l0CMxN45h8TsvhqsH+z7T/oOaX/351r/5T16h8Q/+QLa/9hSD/wBJL2vG6Td22koptvlV7Ru2+VXcnZXsryk7JXbd294pxjGLlKbjGMXOVuabjGKcpcsYx5pNOUuWMY80pcsYx5Yx/wA37/gvrGkX/BWn9rCOOeK5Rf8AhROJoROsT5/Zp+DbHaLiG3mG0ko2+FPmUldybWb8eK/YL/gvf/yll/au/wC6F/8ArNfwcr8fa/dsn/5FOWf9i/B/+o9M/F81/wCRnmP/AGHYr/0/M/1Wf+CeFjav/wAE/wD9hl21jTYmb9jv9mVmiki1cvGW+CvgkmNzFpUkZdCdrGOSRCQdjsuGP2H/AGfaf9BzS/8AvzrX/wAp6+Kv+Cef/Jgf7Dn/AGZ9+zP/AOqW8FV9g1+I4z/fMZ/2F4v/ANSsSfsOE/3XC/8AYLhv/UbDnTaxY2r6vqrtrGmxM2pXzNFJFq5eMtcykxuYtKkjLoTtYxySISDsdlwxzf7PtP8AoOaX/wB+da/+U9Guf8hrWP8AsKah/wClc1Zdcx0Gp/Z9p/0HNL/7861/8p60rGxtVttYA1jTXD6bErMsWrgRAavpT+ZJv0pWKFlWICJZH3yISgjEkkfM1qaf/wAemuf9guH/ANPWj0AH9n2n/Qc0v/vzrX/yno/s+0/6Dml/9+da/wDlPWXRQBqf2faf9BzS/wDvzrX/AMp60pbG1OkWKf2xpoVdS1VhKYtX2OWttHDRqBpRkDxhFZy8aoRLH5byMJVj5mtSb/kC6f8A9hTWP/STQ6AOV8Pata69q/jrSzeabZDwX4qs/DK3LSavONWF14I8HeMf7QjiTQ0aySNvFraUbaVpnd9Me8Egju44Yuq/s+0/6Dml/wDfnWv/AJT1wmgeJP7c1Xxvpn2L7L/whvii08N+f9o8/wDtH7V4L8IeL/tvleRD9j8v/hKv7P8As/mXW77B9r89ftX2a36esMPLnpKXtfbfvK69pyezvyYnEw5OXT+Fyew5vt+w9p/y8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf/Z/7Q+q2X1Wy1P7PtP8AoOaX/wB+da/+U9aWq2Nq1zEW1jTYyNN0ddrxauSQmkWKLIPL0qRdkqqJYwWDhHUSpHIHjXma1NY/4+4f+wXof/pl0+tzzg/s+0/6Dml/9+da/wDlPR/Z9p/0HNL/AO/Otf8AynrLooA6bSrG1W5lK6xpshOm6wu1ItXBAfSL5GkPmaVGuyJWMsgDFyiMIkkkKRtm/wBn2n/Qc0v/AL861/8AKejR/wDj7m/7Beuf+mXUKy6ANT+z7T/oOaX/AN+da/8AlPR/Z9p/0HNL/wC/Otf/ACnrLooA6aKxtRpF8n9saaVbUtKYyiLV9iFbbWAsbA6UJC8gdmQpGyARSeY8bGJZM3+z7T/oOaX/AN+da/8AlPRD/wAgXUP+wpo//pJrlZdAGp/Z9p/0HNL/AO/Otf8Ayno/s+0/6Dml/wDfnWv/AJT1l0UAdNqtjatcxFtY02MjTdHXa8WrkkJpFiiyDy9KkXZKqiWMFg4R1EqRyB41zf7PtP8AoOaX/wB+da/+U9Gsf8fcP/YL0P8A9Mun1l0Aan9n2n/Qc0v/AL861/8AKetLR7G1TV9KddY02Vl1KxZYo4tXDyFbmIiNDLpUcYdyNqmSSNASN7quWHM1qaH/AMhrR/8AsKaf/wClcNAB/Z9p/wBBzS/+/Otf/Kej+z7T/oOaX/351r/5T1l0UAan9n2n/Qc0v/vzrX/ynro9Cs7dPI26rYTY8R+HZB5ceqDLx/2psgHm6bF+9n3N5ROIB5b+dNDmPfxFdR4e/wCXf/saPDH/ALlqAPeKKKKAOSufFP2e5uLf7Bv8ieWHf9q27vKkZN237O23dtzjccZxk9ag/wCEv/6h3/k3/wDc1eW6leeOP+E5v7T/AIR3wp/whf226/4n/wDwmer/APCUf8eskv8AyKH/AAgf9k/8hb/Qv+R3/wCQd/xM/wDj5/4lFUvtnjj/AISj7J/wjvhT/hC/+g//AMJnq/8AwlH/ACDvN/5FD/hA/wCyf+Qt/oX/ACO//IO/4mf/AB8/8SisPbx/594n+N7D/dqvxf8APzf/AHf/AKiP4Xkej/ZtX/oLyn/cP7R/5G2C/h/9Avw/8jT/AKlX++f3j6NtpvtFtb3G3Z58EU2zO7b5savt3YXdt3YztGcZwOlTV+XX7Zfxg+Mfw/8AEdjqPw6+Mep/CzSvgv8ABnw78a5/BFv4a+Feu6H+0lqurfFjw34Cm+Fvi678ceGPEXjfS/D1np/k6LDL8IdW+HvjA+L/AIo+D7oeLNSjsYfCmr3f23fjB8Y/h/40bUfh18Y9T+FmlfBf4TaP8a5/BFv4a+Feu6H+0lqurfF/w/4Cm+Fvi678ceGPEXjfS/D1np/k6LDL8IdW+HvjA+L/AIo+D7oeLNSjsYfCmr6UZqt7DlvH2+Zwyz3nH93Opz+zxM7Sd6E/ZVbxp3r0+R+0jG79n5leSw/1rnTl9Vy3+0p8tnzw9y+Hp3a/fx9tR1nak/a+637Od/04or8BfCH7S/7TnjT4ka18NNR/aS+KfgXTf2jPiJaW3wp+IV18Pv2Yoo/A/wAPdN+NPiXw1qfjL9kq01L4RajLceBZ9Pl8A/BPV4P22vC3jn4sJ8XfE+n+JfBng3X/AId6hpHiPXKPgX9tX9oq9+IPwa8X+JvjXr1/8K/CUXgr4afE7VbDwp8CPDf7PHjfxRr/AIk+LHgnRfEfxd8Qa74OPxh0L4o/HMaT8PPF/wAGdR/Z/wDFen/s0eFZpNUh+M994S0nVfDNl4gwji6UsPSxLU4062BjmEVyqU1Q+qRxNVcsZ+9Uo1a2DwUoRlHnr42lUg4UIqGOqrenVrUbe0nRxFTC2g4pVK8a7o0oRc2lBYiFHGV6cqlowp4OSqtutCthP6CKK/OH/gnJ4r/acv8AwP4w8IftgeNL7x18ctMg+HnxB1PUrHx18IviV8P9K8MfFPwq99oXh7wN4u+EH7J/7JWkCGx1Dw74gvr/AMN6joPxjudBs9V0J7T9oL4l2WpRyaV+j1ejiKE8NU9lUcHPkjKXs5c8Iz5q9KrTU+WKnKhicJjcLUlGMYOvg8QoLljFyzpVadZTlSlz041alOFSziqsIOlKnXhGVpqliaGIwuKoqaVR4fF4eU4xlNxiUUUVgaBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHB/EP/AJAtr/2FIP8A0kva8br2T4h/8gW1/wCwpB/6SXteN0AfwGf8Fs/2M/2wPin/AMFN/wBpX4gfDH9lL9pP4jeA/EafBqTw9428B/Av4oeL/COvJpXwB+Fmg6o+jeJPD/hbUdG1RNN1zStU0W/axvZxZ6tpt/p1wY7yzuIY/wAq/wDh3n+35/0Y5+2D/wCIz/Gn/wCYqv6d/wDgp7/wXw/bB/Y1/bc+Mf7Mnww+G/7Neu+A/hVb/Di38Pav488H/FDVPF14njP4WeCviTqh1m/8PfGPwvo1w9vrvjPVLSwNjoGnCLSbewguFuryK4v7r5+/ZX/4OOf23vjj+0/+zh8FfFnws/ZV0/wt8YPjz8IPhd4lv/Dvgj4uWniCx8P/ABA+IXh7wnrN5oV1qXxx1bTrbWLbTtWuZtMuNQ0rU7KG9SCS60+9gWS2l/V8Di+IqOV4SdLLcsnhqOAozhUnmFWNWdClhudTlTVFqNSVOm5OCk7S91PZn5njMLkNXMsVCpmGYwxFXHVYThDA0pU41qmI5HCNR1U5QVSaSm0rx95rof1UfsK+HfEHhH9iL9jjwn4s0PWPDHinwx+yt+z14d8S+GvEWmXui+IPD3iDRfhJ4Q03WdD1zRtSgttR0nWNJ1G2ubDU9Mv7a3vbC9t57W6ginikjX6poor8sq1HVq1arSi6tWrVcU21F1alSo0m9Wk6jSb1aSb1bP0mlBUqVOkm2qVOnTTdk2qdOnTTaWibVNNpaJtpaWNTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasusywrU0//AI9Nc/7BcP8A6etHrLrU0/8A49Nc/wCwXD/6etHoAy6KKKACtSb/AJAun/8AYU1j/wBJNDrLrUm/5Aun/wDYU1j/ANJNDoA4TQPEn9uar430z7F9l/4Q3xRaeG/P+0ef/aP2rwX4Q8X/AG3yvIh+x+X/AMJV/Z/2fzLrd9g+1+ev2r7Nb9PXMaB4k/tzVfG+mfYvsv8Awhvii08N+f8AaPP/ALR+1eC/CHi/7b5XkQ/Y/L/4Sr+z/s/mXW77B9r89ftX2a36esMPLnpKXtfbfvK69pyezvyYnEw5OXT+Fyew5vt+w9p/y8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf/Z/7Q+q2X1WyK1NY/4+4f8AsF6H/wCmXT6y61NY/wCPuH/sF6H/AOmXT63POMuiiigDU0f/AI+5v+wXrn/pl1CsutTR/wDj7m/7Beuf+mXUKy6ACiiigDUh/wCQLqH/AGFNH/8ASTXKy61If+QLqH/YU0f/ANJNcrLoAKKKKANTWP8Aj7h/7Beh/wDpl0+sutTWP+PuH/sF6H/6ZdPrLoAK1ND/AOQ1o/8A2FNP/wDSuGsutTQ/+Q1o/wD2FNP/APSuGgDLooooAK6jw9/y7/8AY0eGP/ctXL11Hh7/AJd/+xo8Mf8AuWoA94ooooA4a78M39xd3U6TWgSa4mmQNJMGCySM6hgLdgGAYZAJGc4JHNV/+ET1H/ntZf8Afyf/AORq9BooA8r8W/BD4O/EfWfhl4q+Jvwm+GPxE8Y/BvV18S/CnxX428B+FvFviH4Y+K2is45/Evw61zxBpN9qngvXZvsFmH1nw5caXqUi2lqHn/0eIJn67+zp+z54o1fwF4g8S/An4NeIte+FfjXxD8Svhhreu/DDwTq+r/Dj4i+LtZl8R+K/H3gLUtQ0O4vPB/jXxP4huJ9e8Q+KvD02na7rWszS6pqV/c30jzt7JRRH3OXk9zkrPEQ5Pd5MQ5Rm8RDl5eTEOcITeIjy13OMZOu5RjKJJKXOpJSVSksPUUveVShFVFGhNS5uehFVaqjQnz0YqrVUaKVWqqnzVJ+xj+x7LbfGeyl/ZQ/Zqks/2j9RttX/AGh7ST4FfC57b486tZ6xf+IbTVPjPA3hYxfFHUbXX9U1PXLa98cJrtzBrGo3+pxSre3lxPJ0K/svfszp8Qfh18Wk/Z2+BafFX4P+D7f4efCT4mL8I/AC/EH4W+ALTTtV0e08DfDrxmPD48R+CPB9tpOva5pdv4Z8M6lpmiw6drOq2UdkttqN5FN7pRRH3ORQ9xU4U6dNQ91U6dHC18BRp0+Xl5IUcBisVgaMIckKWBxWJwVKFLB4nEYTEOTc3UlNucqyqxrObc3VjXqYWtXjVc3J1Y162CwVavGq6irVcFg6tZVauDwlTC+Z/Cr4LfBz4EeHL3wf8D/hN8M/g14S1LX9V8Waj4W+FXgPwt8PPDl/4p10wNrfiW90TwjpWj6Zda/rDW1sdV1me1k1HUDbwG7uZjFHt9Mooou7RV3aMKdOKu7Rp0qdOjSpxV7Rp0qNGlRpU4qMKVKlSpU4U6VKlSpq2sn1nOpUm+sqlWpUrVaknvKpVrVq1arUk5VKtatVq1Z1KtWrVqlFFFABRRRQAUUUUAFFFFABRRRQAUV+Wf7Tv/BQ/wCKPwY/amg/ZO+Df7IWu/tI+PtQ+BKfG/TbjRvi94b+HNpHZW3iXVdJ1qx8QS+KvC11pWhaTpmkaLe39vr41vUb3V9futE8J2Pho3GrJqUHg3wr/wCCzd78SdQ/ZU8SX/7HvxE8D/AP9pz4haR8DrX41a98SvBV4dE+Ot/Jf6ZfeE/D/wAPtHsb3xJ4s8E6d4igtNMj+IeuTfD+XULQa5fQ+Eo73QX0a+MN/tjorD++8RVVGin+755yxuPy2nb2vJaFXMssxmW0ajahWx9KOEpSnWq0wxH+yxqyr+4qFGVeq1+85KUMBQzWbap875oZZiKeYTp254YKNbEzUaVCtKP7i0V+N2m/8FR/i74l8X/tdWfg79iy81v4YfsZ+If2gtC+Kfxevfj94c0LRmf4N+FfEviDwtDpXhm78ATeJ9S1r4hX3hifStS0vR7LWLL4f2+p6Nq+o61rcV61rDy3w4/4K9/ELWh+zV4/+MH7Dvjj4L/s0ftP+KPC/wAP/Avx7n+MPg/xoIPHniu2nt9LtNQ+HGm+HNK8TWPhG78QWOpQaV4s1u50O41vwtZ/8Jbpnh6cTLoymG/2v6t7D3vrlLLK2H5v3XtIZ17b+x7+15OSeaSoVaeX0qjhUxdWKp0YSlOHOYhfVliXW91YSpjKNdx/e8lTLqGHxWYqPsud1Fl+FxNLE46VJVI4Sh7SpXlFUaqh+v3xD/5Atr/2FIP/AEkva8brufHfjPR7rxZbfC2Kz8WL4mHh2Hx+dTuPAfjmz+HP9hDUrzw6bAfGG78OwfCRvG39oMLgfDVfG5+Ix0IN4oHhU+GVbVxzX9j3f/PbS/8AweaL/wDLCgD/ADX/APgvj/yln/av/wC6Ff8ArNXwcr49/wCCeX/J/wB+w3/2eF+zN/6unwTX2P8A8F+IXt/+Ctf7WMMhiZ0/4UTkwzwXMR3fs0/Bthtmt5JYX4YBtkjbWyjYdWUfHX/BO5DJ/wAFAf2GI1KBpP2xf2ZEUySJEgLfGrwSoLyyskcaAn5pJHVEGWdlUEj9vwf/ACTuH/7Ei/8AVbWPx3Ff8j6v/wBjh/8AqwpH+qZRWp/Y93/z20v/AMHmi/8Aywo/se7/AOe2l/8Ag80X/wCWFfiB+xBrn/Ia1j/sKah/6VzVl102saVdSavqsiy6aFk1K+dRJrGkROA1zKwDxS3ySRuAfmjkRXQ5V1VgQM3+x7v/AJ7aX/4PNF/+WFAGXWpp/wDx6a5/2C4f/T1o9H9j3f8Az20v/wAHmi//ACwrSsdKulttYUy6aTJpsSLt1jSHAI1fSpMyMl8yxJtjYCSUohcpEGMkkaMAczRWp/Y93/z20v8A8Hmi/wDywo/se7/57aX/AODzRf8A5YUAZdak3/IF0/8A7Cmsf+kmh0f2Pd/89tL/APB5ov8A8sK0pdKujpFjH5um7l1LVXJOsaQEIkttHVQspvhG7gxtvjR2eMGNpFVZYi4B5loHiT+3NV8b6Z9i+y/8Ib4otPDfn/aPP/tH7V4L8IeL/tvleRD9j8v/AISr+z/s/mXW77B9r89ftX2a36esnw9f3Wvav460oW+m2p8E+KrPww07eIdIkGpG78EeDvGf22NHngWBI18XLpxiilvUL6e85uUkmks7Tqv7Hu/+e2l/+DzRf/lhWGHlz0lL2vtv3lde05PZ35MTiYcnLp/C5PYc32/Ye0/5eXfo5rR+r42VL6n9Qthstn9V+sfWeX2+UZTifb+2u7/XfrH9o+zv/s/9ofVbL6rZZdamsf8AH3D/ANgvQ/8A0y6fR/Y93/z20v8A8Hmi/wDywrS1XSrqS5iZZdNAGm6Onz6xpEZzHpFjGxCyXysULKTHIAUlQrLEzxujtuecczRWp/Y93/z20v8A8Hmi/wDywo/se7/57aX/AODzRf8A5YUAGj/8fc3/AGC9c/8ATLqFZddNpWlXUdzKzS6aQdN1hPk1jSJDmTSL6NSVjvmYIGYGSQgJEgaWVkjR3XN/se7/AOe2l/8Ag80X/wCWFAGXRWp/Y93/AM9tL/8AB5ov/wAsKP7Hu/8Antpf/g80X/5YUAEP/IF1D/sKaP8A+kmuVl100WlXQ0i+j83TdzalpTgjWNIKAR22sKwaUXxjRyZF2Ru6vIBI0assUpTN/se7/wCe2l/+DzRf/lhQBl0Vqf2Pd/8APbS//B5ov/ywo/se7/57aX/4PNF/+WFABrH/AB9w/wDYL0P/ANMun1l102q6VdSXMTLLpoA03R0+fWNIjOY9IsY2IWS+VihZSY5ACkqFZYmeN0ds3+x7v/ntpf8A4PNF/wDlhQBl1qaH/wAhrR/+wpp//pXDR/Y93/z20v8A8Hmi/wDywrS0fSrqPV9KkaXTSsepWLsI9Y0iVyFuYmISKK+eSRyB8scaM7nCorMQCAczRWp/Y93/AM9tL/8AB5ov/wAsKP7Hu/8Antpf/g80X/5YUAZddR4e/wCXf/saPDH/ALlqy/7Hu/8Antpf/g80X/5YV0ehabcReRuksDjxH4dmPl6rpc3yQ/2pvA8q8fMp3r5UAzPPh/Jjk8uTaAe00UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfnhr/7JXxH1X/goy37XlvrXglPhqf2Q9T+AP9iTalrq+OP+ExvfGt34ki1L+zU8NyaB/wAIytjOkUl5/wAJN/aguw0a6M8IE7fFnhD/AIJdfHjw7+y7/wAE8fgnceKvg4fFv7Jv7Ydj+0L8TtSs9c8ZHQPEHhG1+I3jPxa9h4NvH+H0Gp6r4qOj6/plolr4g0rw5phu7ae3Otraw29zN+8VFPDP6p9W9jp9Uq4OrR5vetPAZ/m/EuH57254rNc8x9SpF2VSg6GHlaOHhUkYj/aY4mNXVYulXo1uX3W6eI4cjwtV5Wr8knlEVCMldxxN8Uk5v2Z+Nt7+zB4+/Zv/AGTv+Cver+ONX8H6rbftBa1+1/8AHjwYnhTUNavp9M8IeMvhhrH9l6d4nXV/D+hR2XiSD7LJ9vs9Kl1rTItyfZ9Yustt+PP2QP2RP2x/2pP2bv8Agnvonxc+LvwQm/Yv+FM3wu+P2hWfhvw/420r9orxLf8Ag+C9v/CHwz8XtJJP4Abwp4dm1Cfw7a+JtD1HS9cvdCsrHVNS0q71/wDeW/8ASrRSwn+yVFUj+89hQ4VoYKE/ep4d8JUsbSy2vVg9MViKX1jC16NWTpeyxeBp4idPEKfsKbxL+s0505e48Ri8/wAVi6kPdqVf9YcHl+Cx1GjNe9hqNWhg69CtCPtFVw2NrUYyoTjHEx4P4h/8gW1/7CkH/pJe143XsnxD/wCQLa/9hSD/ANJL2vG6BH+bn/wXx/5Sz/tX/wDdCv8A1mr4OV8e/wDBPL/k/wC/Yb/7PC/Zm/8AV0+Ca+wv+C+P/KWf9q//ALoV/wCs1fByvj3/AIJ5f8n/AH7Df/Z4X7M3/q6fBNft+D/5J3D/APYkX/qtrH47iv8AkfV/+xw//VhSP9U6iiivxA/YjU1z/kNax/2FNQ/9K5qy61Nc/wCQ1rH/AGFNQ/8ASuasugArU0//AI9Nc/7BcP8A6etHrLrU0/8A49Nc/wCwXD/6etHoAy6KKKACtSb/AJAun/8AYU1j/wBJNDrLrUm/5Aun/wDYU1j/ANJNDoA4TQPEn9uar430z7F9l/4Q3xRaeG/P+0ef/aP2rwX4Q8X/AG3yvIh+x+X/AMJV/Z/2fzLrd9g+1+ev2r7Nb9PXMaB4k/tzVfG+mfYvsv8Awhvii08N+f8AaPP/ALR+1eC/CHi/7b5XkQ/Y/L/4Sr+z/s/mXW77B9r89ftX2a36esMPLnpKXtfbfvK69pyezvyYnEw5OXT+Fyew5vt+w9p/y8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf/Z/7Q+q2X1WyK1NY/4+4f8AsF6H/wCmXT6y61NY/wCPuH/sF6H/AOmXT63POMuiiigDU0f/AI+5v+wXrn/pl1CsutTR/wDj7m/7Beuf+mXUKy6ACiiigDUh/wCQLqH/AGFNH/8ASTXKy61If+QLqH/YU0f/ANJNcrLoAKKKKANTWP8Aj7h/7Beh/wDpl0+sutTWP+PuH/sF6H/6ZdPrLoAK1ND/AOQ1o/8A2FNP/wDSuGsutTQ/+Q1o/wD2FNP/APSuGgDLooooAK6jw9/y7/8AY0eGP/ctXL11Hh7/AJd/+xo8Mf8AuWoA94ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDg/iH/yBbX/ALCkH/pJe143XsnxD/5Atr/2FIP/AEkva8boA/m9/wCCgf8AwcPf8MR/tYfEr9lb/hkH/hZv/CorXwPbf8J3/wAL/wD+EL/4SH/hOPAPhn4ob/8AhF/+FJ+LP7J/sv8A4Tj+w9v/AAkWpfbf7L/tPdafbf7PtP1+/YE/ay/4bk/ZK+E/7Un/AAgP/Cr/APhaH/Cd/wDFC/8ACVf8Jr/Yf/CFfEvxl8O/+Rn/AOEc8Jf2n/af/CJf2x/yL2n/AGL+0P7P/wBL+yfbrn+Cv/gvt/ylq/ax/wC6E/8ArNPwbr+xD/ggT/yiV/ZO/wC67f8ArS3xkr7DOMrwGFyDLMbQocmJxH1P21T2lWXP7XCVKtT3JzlCPNOKl7sVa1lZaHyuVZljcTneY4OtW58PQ+teyp+zpR5fZ4qFOHvRgpy5YNr3pO97u71P2Iooor48+qNTXP8AkNax/wBhTUP/AErmrLrU1z/kNax/2FNQ/wDSuasugArU0/8A49Nc/wCwXD/6etHrLrU0/wD49Nc/7BcP/p60egDLooooAK1Jv+QLp/8A2FNY/wDSTQ6y61Jv+QLp/wD2FNY/9JNDoA4TQPEn9uar430z7F9l/wCEN8UWnhvz/tHn/wBo/avBfhDxf9t8ryIfsfl/8JV/Z/2fzLrd9g+1+ev2r7Nb9PXMaB4k/tzVfG+mfYvsv/CG+KLTw35/2jz/AO0ftXgvwh4v+2+V5EP2Py/+Eq/s/wCz+ZdbvsH2vz1+1fZrfp6ww8uekpe19t+8rr2nJ7O/JicTDk5dP4XJ7Dm+37D2n/Ly79HNaP1fGypfU/qFsNls/qv1j6zy+3yjKcT7f213f679Y/tH2d/9n/tD6rZfVbIrU1j/AI+4f+wXof8A6ZdPrLrU1j/j7h/7Beh/+mXT63POMuiiigDU0f8A4+5v+wXrn/pl1CsutTR/+Pub/sF65/6ZdQrLoAKKKKANSH/kC6h/2FNH/wDSTXKy61If+QLqH/YU0f8A9JNcrLoAKKKKANTWP+PuH/sF6H/6ZdPrLrU1j/j7h/7Beh/+mXT6y6ACtTQ/+Q1o/wD2FNP/APSuGsutTQ/+Q1o//YU0/wD9K4aAMuiiigArqPD3/Lv/ANjR4Y/9y1cvXUeHv+Xf/saPDH/uWoA94ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPz+/4Kk/G74n/ALOX7Cfx2+Mvwa8T/wDCHfEnwba+BJPDfiT+xfD3iH+zX1n4neC/D2pN/Y/irSdc0G8+06Pq2oWeL/S7oQ/aPtFuIrqKCePyj4Of8FWPhH498TeGfhRqXwt/ac0v4heI/g1q/wATfhvrPjb4NR/Dzw5+0sng3wZD4r8QR/Aq58U674dl1271uwg1HUPD0+v6N4J8MX0cBjGsWQuNOjuvV/8AgqT8Efif+0b+wn8dvg18GvDH/CY/Enxla+BI/Dfhv+2vD3h7+0n0b4neC/EOpL/bHirVtD0Gz+zaPpOoXmb/AFS1E32f7PbmW6lggk8Y+J/7NXxp1r9tT/gmL8YtP8Gxz/Db9nP4X/GTQvjP4ll8TeD7WLwXqfif4S2vhvRbeTTLzX4NZ12O81mGWze68M6drVnaKhur6e2syLg5YXncsxp1asKNOvmmFoUa+IjHkwdH/UjifFf2hGpOcP8AY8NneX5XTxdHnpYTEV8Z7PE1qWIlg5Q0xLjHD4arTpurWw2BzXFTo05S5sZVpcRcJ06OXThCMpe3xmXYnNlhq0VUxVCjRrVcHRqKniFL2lf+CkPwDuv2f/2dP2iNG0j4j+IfDv7UXxL8MfCP4XeC9G0bwxN8RZPHfiTWdb0GXSdd0i68Y2ehacvhnUfDurxeKLm28S6hBYLaq1o2oG4t1l8C8bf8Fn/2ePBfif41eGk+Bn7YHjSP9nb4i+KPh58aPFXw/wDgvpPirwR8PP8AhF9Tk0hvGnijxVaePI9L0bwXrl5Z6yNBuNSltPEVzFoGqy3vhvT0Fgb/AOFf2APhHpXj3/go18W/D/w+8f8Ahr4ofsb/ALFnxA+Jfxq+BOr+CdWsPEng6H4o/tY+HvDJm8LW/iLSJ7rw9rWn/Dqws/HCaPb6YzT6F4gW9upb6aS/aCHzf4R3v7amu6p/wV5+DP7NH7OvgD41+FPjf+13+0J8Nda8X618U/Dfw91j4O6z4tTV/DuteKfEfh/xXZi2+I/hKbw5q1jcaLpHh7VIda0rV9H1t77T9TtNUsbSRudSoqNWhhpe1x2Q4ziHBZZVck6cYY3hXLMBlmNxbVGVGFbFVuJ61bMZqhH6pPJq6eHp1Yyk1Tpwni6NauvY4DNstybFZhBRvP61U4mxeNzDC4SPtI1q2Dymlw6o5dFylLMqOcYZwqzp+yl+0Pxg/wCCl3wG+Gcvwy03wJ4N+O/7Unin4sfDmx+MfhjwR+yv8LL74qeL7b4Q6o0dvpnxK8Q6Vc6l4aTQvDF9qM0GkR/bLpdZh1OZLa70i2AkkTlfiP8A8FYf2Z/APgf9mnx9o3hz41/F3Sf2sLXxwPhHpfwe+H1p4t8WXviPwCumWur+BdU8J3niTRNfg8aXXiTVIfBun6Tpljq0C+JILuPVL7S9Ig/tdvyl+P8A/wAEiPiP4O8Ufs6+I9P/AGZvD3/BQnwl4L/ZQ8H/AAC8XfDW+/aBvv2cL3wj8R/A7TXlt8R/D3iZfEXg06p4N1CbUdRtYPDE1xf6i4uLx72GxuJLXVoPqv4b/wDBP/4wfDTxl/wSeuNJ+DPw38L6F+z54l/aU8b/ALQOlfC3xfr194C+Gmt/Fjw1pbeHbfQx8avih44+JfiqdtRgj07ULvRNY8S2sOt2N7qdlb6PoU+nIvVCnSqV5UvbuNF5+8J7fljejgI4viSm0vaxowxFGeX5fk2Np5pGn7J1sfSjNwjjVl2X8rqVIU4VHRUqiyKti3RvJKrjoZTl+Ig703VnQrf2tiMTgllsp+0dPD1YqFWVFY+t9JfFn/grf8F/hDdzabqv7P37YvirV/C/w38GfE/41aX4F+Cdhr0/7Nei+PNE/wCEk0DS/wBoG7m8badpPgPxCfD6zatqFhDqWs22nW9reQ3V+l9aXFpH03xb/wCCp3wH+GHxB+GHwz8O/Db9or4+eKfjR8FPDXx7+Ftn+z58MrH4gS+MvAninVL2zsGsNNuvFfh/XrPUbXStN1HxXq51fR9O0fS/DljPJdawmr+Vo8n5p/t+fsTft2/tIfG39qHQtW+C99+0d8IfG/h7RtW/ZU8R6v8AtcTfCv4Sfs5+I/DfgXVIrq6H7P8AZanYyeN/it4h1P7V4e0jW/EFivg+PUtdsr3xJr0fhy816bQfrH9l/wDZL+PPgP8Aa0/ZA+KfjD4Xf8Ix4G+FP/BL3wN+zr4v1Cfxd4F1yXwt8ZND8SRT6l4QittJ8TanrGqeXpizTJ4l0ezvvDdxbymAaybh3thngXHErC1MRH6tGtjq1arScnGdPL3lHE+MjgZyqqMqVahmWU5Tl7xXs6k5/wBqQftMZVxGHnQ0xaeHnXhSf1n2WAqQjOy5KuOp43hKjTxdJ0XLnp4jC5vnuJjhW4QUMrkpRw8sLWjiP078ZfELwRqfiTT/AIS2/izw1/wt6XwvafE+T4R/8JFoU/xOtfh29/deGn8cXPgiz1G618eEIPE8i+GZvFUNnN4dHiD/AIlEeqSXpWJsH+w9a/6A+qf+C+7/APjNeofEP/kC2v8A2FIP/SS9rxuk2m20uVNtqN2+VNtqN5e8+VNK71drvVsIpqMVKXPJRipT5Yx55KMVKXLH3Y80k5csfdjzcsfdjE/zbP8Agv7BPbf8Fb/2s4biGW3mT/hRG+KaN4pU3fsz/Bp13RyBXXcjKy5AyrBhwQa/sa/4IBaVqlz/AMEkP2TJrfTb+4hf/he+yWGzuJYn2/tMfGVG2yRxsjbXVlbBOGUqeQRX8cH/AAX2/wCUtX7WP/dCf/Wafg3X9iH/AAQJ/wCUSv7J3/ddv/WlvjJX3+f/APJLZL/3T/8A1BqnxGSf8lJm3/c9/wCptM/Zz+w9a/6A+qf+C+7/APjNH9h61/0B9U/8F93/APGay6K/Pz7g6bWNH1eXV9Vli0rUpI5NSvpI5I7G6dJEe5lZHR1iKsjKQyspIYEEEg1m/wBh61/0B9U/8F93/wDGaNc/5DWsf9hTUP8A0rmrLoA1P7D1r/oD6p/4L7v/AOM1pWOj6ultrCvpWpK0umxRxK1jdKZHGr6VKUjBiBdxHHJIVXJCRu+NqsRzNamn/wDHprn/AGC4f/T1o9AB/Yetf9AfVP8AwX3f/wAZo/sPWv8AoD6p/wCC+7/+M1l0UAan9h61/wBAfVP/AAX3f/xmtKXR9XOkWMQ0rUjImparI8YsbouqSW2jrG7J5W5UkaKVUYgBjHIFJKNjma1Jv+QLp/8A2FNY/wDSTQ6AOV8PXmr6/q/jrSk8Palbt4J8VWfhiWVYrq4N6934I8HeMxdSQiziNi6R+Lo7IWrSXJdLRL7zlW8W3t+q/sPWv+gPqn/gvu//AIzXCaB4k/tzVfG+mfYvsv8Awhvii08N+f8AaPP/ALR+1eC/CHi/7b5XkQ/Y/L/4Sr+z/s/mXW77B9r89ftX2a36esMPLnpKXtfbfvK69pyezvyYnEw5OXT+Fyew5vt+w9p/y8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf/Z/7Q+q2X1Wy1P7D1r/AKA+qf8Agvu//jNaWq6Pq8lzE0elalIo03R4yyWN0wDxaRYxSoSsRAeORHjkXqjqyMAykDma1NY/4+4f+wXof/pl0+tzzg/sPWv+gPqn/gvu/wD4zR/Yetf9AfVP/Bfd/wDxmsuigDptK0fV47mVpNK1KNTpusRhnsbpQXl0i+iiQFogC8kjpHGvV3ZUUFmAOb/Yetf9AfVP/Bfd/wDxmjR/+Pub/sF65/6ZdQrLoA1P7D1r/oD6p/4L7v8A+M0f2HrX/QH1T/wX3f8A8ZrLooA6aLR9XGkX0R0rUhI+paVIkZsboOyR22sLI6p5W5kjaWJXYAhTJGGILrnN/sPWv+gPqn/gvu//AIzRD/yBdQ/7Cmj/APpJrlZdAGp/Yetf9AfVP/Bfd/8Axmj+w9a/6A+qf+C+7/8AjNZdFAHTaro+ryXMTR6VqUijTdHjLJY3TAPFpFjFKhKxEB45EeOReqOrIwDKQM3+w9a/6A+qf+C+7/8AjNGsf8fcP/YL0P8A9Mun1l0Aan9h61/0B9U/8F93/wDGa0tH0fV4tX0qWXStSjjj1KxkkkksbpEjRLmJnd3aIKqKoLMzEBQCSQBXM1qaH/yGtH/7Cmn/APpXDQAf2HrX/QH1T/wX3f8A8Zo/sPWv+gPqn/gvu/8A4zWXRQBqf2HrX/QH1T/wX3f/AMZro9C0rVIfI83Tb+LHiPw7OfMs7hMQQf2p50x3RjEUPmR+bIfkj3pvI3LniK6jw9/y7/8AY0eGP/ctQB7xRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFMkjjmjkhmjSWKVHjlikRXjkjdSrxyIwKujqSrowKspIIIJFPopSipJxklKMk4yjJKUZRknGUZRkpRlGUZSjKMoyjKMpRlFptNptNNNppppptNNNNNNNNNNJpppppNNNJrzz4bfCP4UfBrRr3w58IPhj8PPhV4e1LVZtd1HQfht4L8N+BtGv8AW7m2tLK41i90vwxpul2N1qs9nYWNpNqE8El3LbWVpA8zRW8KJoeE/hx8PPAV34qv/AvgPwZ4Lv8Ax14hu/F3je98J+F9D8OXfjHxXfkm/wDE/iq50exs5vEPiG9JJu9a1d7zUrkkma5cmuzoqnJuXO23N0/Yubbc3R/d/unJtydL9zR/dOTpfuaP7v8AdUvZKys1ZWlU9tJWVpVr1H7Vq1nVvVqv2rTq3q1X7S9So6hRRRSAKKKKAOD+If8AyBbX/sKQf+kl7XjdeyfEP/kC2v8A2FIP/SS9rxugD/Nn/wCC+3/KWr9rH/uhP/rNPwbr+xD/AIIE/wDKJX9k7/uu3/rS3xkr5F/4KB/8FJf+CPHwI/aw+JXwj/af/YG/4XL8evBtr4Hi+IfxO/4ZZ/Zd+In/AAlc+veAfDPivwvJ/wAJp8QvHWj+M9c/sXwLr3hfw1v1zTbV9O/sX+xtOE2j6dp1zN+5H7LV98H9b/Zy+CXiz4A/DnRvhL8GviF8NfCnxS+Hnw60Lwh4X8B2Xhfw/wDFXSrf4jQ2c/hHwW8vhXRNZuJ/FFxqHiK30O5vbKXxBd6ndJqGovcPfXH1+cY6tVyLKsLVy7FYaEFhXSxVWVF0cQqOElFulGEpVFzxqRqR51G0NH72h8tlWCpUs5zLE08dhsROTxKqYalGsqtB1cVGVqjnFU3yyg6cuRu8ttNT3qiiivkD6k1Nc/5DWsf9hTUP/SuasutTXP8AkNax/wBhTUP/AErmrLoAK1NP/wCPTXP+wXD/AOnrR6y61NP/AOPTXP8AsFw/+nrR6AMuiiigArUm/wCQLp//AGFNY/8ASTQ6y61Jv+QLp/8A2FNY/wDSTQ6AOE0DxJ/bmq+N9M+xfZf+EN8UWnhvz/tHn/2j9q8F+EPF/wBt8ryIfsfl/wDCVf2f9n8y63fYPtfnr9q+zW/T1zGgeJP7c1Xxvpn2L7L/AMIb4otPDfn/AGjz/wC0ftXgvwh4v+2+V5EP2Py/+Eq/s/7P5l1u+wfa/PX7V9mt+nrDDy56Sl7X237yuvacns78mJxMOTl0/hcnsOb7fsPaf8vLv0c1o/V8bKl9T+oWw2Wz+q/WPrPL7fKMpxPt/bXd/rv1j+0fZ3/2f+0Pqtl9VsitTWP+PuH/ALBeh/8Apl0+sutTWP8Aj7h/7Beh/wDpl0+tzzjLooooA1NH/wCPub/sF65/6ZdQrLrU0f8A4+5v+wXrn/pl1CsugAooooA1If8AkC6h/wBhTR//AEk1ysutSH/kC6h/2FNH/wDSTXKy6ACiiigDU1j/AI+4f+wXof8A6ZdPrLrU1j/j7h/7Beh/+mXT6y6ACtTQ/wDkNaP/ANhTT/8A0rhrLrU0P/kNaP8A9hTT/wD0rhoAy6KKKACuo8Pf8u//AGNHhj/3LVy9dR4e/wCXf/saPDH/ALlqAPeKKKKACiiigAooooAKKKKACiiigAooooAKK+Kv+Cgf7Yej/sN/sx+NPjre6XZeIfENpcad4Y+H/hfUpdYtdO8S+OdeeYaZp9/qGjaTq0thZWdhaarrt090NNtb6DSJNHTWdMvtSs7lPFdP/wCCwP7Aun+A/hn4r8b/AB/07Q734jfDyy8d6XaQfDL4zyf2tbx+MdR+GmtpoOnQ+AtQ1K6msviHoPiLRotFT7Vrb6dpN14iS2ufDUR1x1Raryrwo+/PD4nB4OpCOs3isdQrYjDUKcFedWpOlRcnGnGTjKpQptOpWhBVOEqaoynFxjXo4vEU5Ne77HA1aFHE1Zy0jThCpiIJObSlGFaaahRnI/T+ivgrxv8A8FPv2Dvhx8Zbf4AeNv2ifDWgfFafVdD0Kfw/ceHfHlxpuj614ha3TT9K8TeMrHwpdeCPCd/C91BHrNr4m8R6TN4ckcx+Ik0t45FT6E0b9pL4LeIPit8W/gjpHjP7X8T/AIF6B4e8UfFTwx/wjviy3/4RbQvFWkR69oF9/bV1oUPh7W/t+lSpdfZvDmraveWu7yL23t7kGEJyiqXt3KPseTHVPbcy9l7PLKbrZlUVRNwcMBRjKtjJqTjh6SdWpL2X7xqKcqnsopyqv6n+7Sbqf8KNWnQwHuWU742vVpUcKnFOvWqQpU06klTPcaK/P7Wf+Cpn7Bfh34ffC34q6/8AH/T9G+H/AMabD4i6j8MvEmp+A/ipZ23ie2+FN5Pp3jlEtZ/AyajpV7puo27abpuma5Z6ZqXijUZLWw8KWmt3d7Zwz4On/wDBXb/gnBqq/DX+z/2qvA9zN8WNZm0DwjZLo3jpNTttTh1y38PBPHWlS+FE1L4VWdzqV1C+n6r8UrXwbpWp6V5uv6de3Wg29xqUWsadSdV0IQnKssRHCOjGLlVWKnJQjhvZpOft5TagqXLzuUoRspTpqrEpwhT9tOUYUlSqV3VlJRpqhRjWnVrc8moeypxw9eU6nNyxVCtd/upqP6P0V8Q/tEf8FIP2KP2UfHWn/DP49/HfRfA/jvUdMtdYTw3b+GPHvjG+sNOvpDHY3OvN4E8KeJ7bw19tA+0WcXiGfS57qxI1CCKSxIuDt/tB/t/fsefss6T4H1v44/HXwt4TsPiVp0OteBRpdj4l8fX/AIm0C5thd2viXTtJ+HWh+LNWbwtdwsv2TxPLZRaBdzSR21vqMtzJHC2KqQdKNdTg6MsS8FGspJ0pYxe0vhYzTcZYhexrN0U3O1Gs7Wo1nR0cJqo6LjJVo4f63Kk01UWF/dr6y4O0lQvVpL2rSherSV71aSq/YdFfMd/+2V+zNpsv7Py3HxX0iWz/AGpbttP+A2uafpPifVvCvj7UlgtJ10qHxfpeh3nhbw/q0/263trXSvFmsaDqF5qJm0u0tptStbq0h4DVv+CjX7GGh/D64+LOr/GyysPhhb/GiX9n0/EC48F/EhfCFz8VYIr6e50bTvEA8HNpmq6Daw6ZfyXfxA0y5u/h5apaym48VRhRm5/u5VI1PclSq1KFWM/ddKtSxWGwVSjUUrclSGMxuDwsoT5ZLEYvDUkpSr0nUiLU4wnB88atKFalKPvKpRqYfGYynVp8qlz054TL8fiYygpJ0MFi6j5Y4esofbdFfIP7N/7e/wCyH+1xceMbP9n342aD48vvANlFqfizTp9H8W+DNT0zSJnki/txNN8feHvC19qWgwTIIL3XdJt77SNPuJ7OC/vbaa+s0n5D4S/8FNf2Evjp8XpPgT8Kv2jPCPiz4n/atXsrDRItK8YaTpfiK80O4NvfW3g7xlr3hvS/BHjaeQLJd6ZF4R8R62+uaXBc6xog1DSra4vY6UJurToKEnWq0FiqVFRbq1MNJzUcRTppc86MnTqqNSKcZSpVYx5p06kKZKUYwq1ZSjGlQryw1ao5JU6WIg4RlQqTvywqxdSnzQlK8VUpybUKlOpU+sfiH/yBbX/sKQf+kl7Xjddz478eeBrzxZbfB608Z+E7r4tr4dh+JTfC238RaPP8Rh8ORqV54XPj8+CIrxvEw8EjxMy+HT4qOmf2ENdZdIN//aBFuea/sPWv+gPqn/gvu/8A4zUjP81P/gvt/wApav2sf+6E/wDrNPwbr+9T/gnf/wAo/wD9hj/szv8AZl/9Ur4Jr+DD/gv7BPbf8Fb/ANrOG4hlt5k/4URvimjeKVN37M/wadd0cgV13IysuQMqwYcEGv74f+Cdmj6vL/wT8/YWli0rUpI5P2OP2Y5I5I7G6dJEf4KeCGR0dYirIykMrKSGBBBINfccR/8AJP8ADv8A17p/+q6kfHZD/wAjzPv+vlT/ANT6p9ZUVqf2HrX/AEB9U/8ABfd//GaP7D1r/oD6p/4L7v8A+M18OfYhrn/Ia1j/ALCmof8ApXNWXXTaxo+ry6vqssWlalJHJqV9JHJHY3TpIj3MrI6OsRVkZSGVlJDAggkGs3+w9a/6A+qf+C+7/wDjNAGXWpp//Hprn/YLh/8AT1o9H9h61/0B9U/8F93/APGa0rHR9XS21hX0rUlaXTYo4laxulMjjV9KlKRgxAu4jjkkKrkhI3fG1WIAOZorU/sPWv8AoD6p/wCC+7/+M0f2HrX/AEB9U/8ABfd//GaAMutSb/kC6f8A9hTWP/STQ6P7D1r/AKA+qf8Agvu//jNaUuj6udIsYhpWpGRNS1WR4xY3RdUkttHWN2TytypI0UqoxADGOQKSUbAB5loHiT+3NV8b6Z9i+y/8Ib4otPDfn/aPP/tH7V4L8IeL/tvleRD9j8v/AISr+z/s/mXW77B9r89ftX2a36esnw9eavr+r+OtKTw9qVu3gnxVZ+GJZViurg3r3fgjwd4zF1JCLOI2LpH4ujshatJcl0tEvvOVbxbe36r+w9a/6A+qf+C+7/8AjNYYeXPSUva+2/eV17Tk9nfkxOJhycun8Lk9hzfb9h7T/l5d+jmtH6vjZUvqf1C2Gy2f1X6x9Z5fb5RlOJ9v7a7v9d+sf2j7O/8As/8AaH1Wy+q2WXWprH/H3D/2C9D/APTLp9H9h61/0B9U/wDBfd//ABmtLVdH1eS5iaPStSkUabo8ZZLG6YB4tIsYpUJWIgPHIjxyL1R1ZGAZSBuecczRWp/Yetf9AfVP/Bfd/wDxmj+w9a/6A+qf+C+7/wDjNABo/wDx9zf9gvXP/TLqFZddNpWj6vHcytJpWpRqdN1iMM9jdKC8ukX0USAtEAXkkdI416u7KigswBzf7D1r/oD6p/4L7v8A+M0AZdFan9h61/0B9U/8F93/APGaP7D1r/oD6p/4L7v/AOM0AEP/ACBdQ/7Cmj/+kmuVl100Wj6uNIvojpWpCR9S0qRIzY3QdkjttYWR1TytzJG0sSuwBCmSMMQXXOb/AGHrX/QH1T/wX3f/AMZoAy6K1P7D1r/oD6p/4L7v/wCM0f2HrX/QH1T/AMF93/8AGaADWP8Aj7h/7Beh/wDpl0+suum1XR9XkuYmj0rUpFGm6PGWSxumAeLSLGKVCViIDxyI8ci9UdWRgGUgZv8AYetf9AfVP/Bfd/8AxmgDLrU0P/kNaP8A9hTT/wD0rho/sPWv+gPqn/gvu/8A4zWlo+j6vFq+lSy6VqUccepWMkkkljdIkaJcxM7u7RBVRVBZmYgKASSAKAOZorU/sPWv+gPqn/gvu/8A4zR/Yetf9AfVP/Bfd/8AxmgDLrqPD3/Lv/2NHhj/ANy1Zf8AYetf9AfVP/Bfd/8Axmuj0LStUh8jzdNv4seI/Ds58yzuExBB/annTHdGMRQ+ZH5sh+SPem8jcuQD2miiigAooooAKKKKACiiigAooooAKKKKAPgH/gqX8NPHPxe/YB/aY+H/AMNvDeqeMPGus+CLG60TwvodpPqGua4+geKvD/iO+sNG021jlu9U1aXTdJvP7O0uyhmvtTu1hsbGCe7uIYn+E/2btP8AHvxm/wCCiv7M/wC0Hrv7NXx++FXhLwp/wTu1D4dzXvxq+E2v+DJ/CPxN8P8AxS17w3e6Tc31xFdaTp2ra3oE2pan4es7rUbXXNW8GazBqr6TZwX7wp+9VFLCpYXFVcUv3jqVadeMJe6qdeGQ53w86kZw9+Slgc8ry9nJKMa1GnOMrVKsR4h+3w8cO/c5aGJw0pr3nOjic24ezmUXCXuxlDGcO4VRqRd3Sr1qco+7Tmfxm/ti/Cz9sz4x6b+1j4B8Q/s6ftq2PiKx/aX8QfEXw/4C/Z0+CPgDwL+x74z+GGqeNfBtrJ498Xav4L0CLxz+1b8cdVjh0XU9MvL2bxX4i8Px2954mvbq1sPD/i60039IvHGp/G79l3/goV+118RtN/ZH/aW+PXg/9rj4A/Bzw58Ktf8Ag14CGvaBo/jPwz4KsPBS6L8UPEN9fadpXw5006rb3Mmuaxr00d/oFgkOqP4dv9MuPtkX9CFFYRw0VgKeX88nBYTHYHEVWl7TFYfM+FKPCWO5vi9lWr4TC4XG+3pznKljY4hUKWHwdejgsu3liJSx0sdypTVejiaFO7cMPVwvE2G4pwijdJ1KNDHYf6t7GcYqtgPYUq1apXw7xmK/lQ/Y9/Zp+OGkH/giDD44+AHxW0u2+EXib9s7VfidF4r+FXi6yg+GF1rHi3XNZ8B6l48j1fQYo/BU+qXcenar4RvPEA02S9uUsr7RpJZVglFD4s/ss/Ge5/YI/wCCn+haN+z98Vrz4g/Eb/gpNq/i7wP4Z074UeK7jxT4x+Hth8QvA1/pPjDwdotp4ebW/EPhL7HqHia5tfEGkQ32ifY/7VmtrlIv7Qd/6vqK9CeIcsTLE8kVOWLq4vlTdlKtxZwbxZUp33cJV+C8FgHJrmeFxdeq/wB/h8NE5sPFYdU0vf8AZvCNc2l3hMv4zy+L0256fGmLqSttLA4aEbwrYm38p/7fHgf9rr4ifGP9tT4bRfAv9ry00Dx18PPBV18FL79kL4QfDjw18OPjPD4N+FurQamP2uf2gV0VfiJ8RdO06wbWtF0H4G3Gu6jearqZs/Cvh3w/bapf+FjqfG/FD9mj45+AfFv7IHxs1bwP/wAFJoPh7df8E8/g78D5of2Do73wj+0Z8N/iP4G0nTrzVfh98VvDt1od1rGm+CtUuy99qj31lpqLrsdsIk1C60JbC4/riorijT5cPGgpe8qyqzrSjGbqxeA4iyurGpTk3TlKrgeIZw523SpYjAYStRy+FCeLy7EkEoxpQac6VHCxwsKbdkowXDU6bTSbjTjW4Zw8vY2fPh8ZisLUxUnTweMwf81Xi39lL4mX37Af7In7AfgT4CfGjwX49+MPxW/4Wfd+PPiRqt/8Yof2KdG0rxjqnxC1Hxn4g+M/gX4c/CLwnpXxGvtOurrT/DvgyDT/AAxqj3PifxR4auNSudTe3vdW+ef2jofGfgT/AIJnfsg/Abxh+zHqfhL4ifs1/t+/Cb4S6x8N9c8O6v4R+Hfx+1PQoPihNbeMvA/jHxTplnoPirwt8arqWa71zxRbz3lhDrmsaveX0celXOnSXn9bdeM/Gv8AZ8+EH7ROk+DtD+MfhH/hMNK8AfELw38VfCNr/b/ifw//AGT498IrfJ4e17z/AAtrWiXN/wD2eupXo/svU5r3Rrvzs32nXJjhMfV7aaxjxEfchiOIMgzjFK/tJ0oZFm+TYjA/VvaJKpUwGUZbXwEKWI/d5niMTHG5hVpYnD4Wrh0o/uaUJv2s8Llme4Sg5c0Y1q+e5XxHQzCeJcKnOoZhmmc4XFVKlGpGvl9HC1qeCnWli8ZPE/hlrnwn+OP/AAUB/af/AGkfjV4N/Z0+MP7J3hhv2AviR+yrp2oftE+D4vhj4u+JnxX8cTau+kqulWl9rsGoeCNIsrxLCbxjYya5bR2VlawoxlnsbPTfLNF8I/Hr9oj4Tf8ABPr9iHRP2IPj9+zv8Q/2RPjB8KvF3xV+PPj/AMA6X4T+DXhbTfgs99pnjTxN8JPiXYXhsfiH4j+JGr3MHiaGz0eyaDXtXuZdQhvfEum20/jK2/qGoqMK1hJYRU4p0cLiMsx/sZSn+9zPKs3zfPMNi5Vr+2hReYZzipVcug3hJ4eFGgp03LG18wK8XiIV4yk1UrUMdgoVVGF6WX5hkWD4cr4Z0lGFGvWWVYKnCGNqxVaOKqTxPseWng8HguD+If8AyBbX/sKQf+kl7XjdeyfEP/kC2v8A2FIP/SS9rxupKP8ANn/4L7f8pav2sf8AuhP/AKzT8G6/vU/4J3/8o/8A9hj/ALM7/Zl/9Ur4Jr+Cv/gvt/ylq/ax/wC6E/8ArNPwbr+9T/gnf/yj/wD2GP8Aszv9mX/1SvgmvuOI/wDkn+Hf+vdP/wBV1I+OyH/keZ9/18qf+p9U+xKKKK+HPsTU1z/kNax/2FNQ/wDSuasutTXP+Q1rH/YU1D/0rmrLoAK1NP8A+PTXP+wXD/6etHrLrU0//j01z/sFw/8Ap60egDLooooAK1Jv+QLp/wD2FNY/9JNDrLrUm/5Aun/9hTWP/STQ6AOE0DxJ/bmq+N9M+xfZf+EN8UWnhvz/ALR5/wDaP2rwX4Q8X/bfK8iH7H5f/CVf2f8AZ/Mut32D7X56/avs1v09cxoHiT+3NV8b6Z9i+y/8Ib4otPDfn/aPP/tH7V4L8IeL/tvleRD9j8v/AISr+z/s/mXW77B9r89ftX2a36esMPLnpKXtfbfvK69pyezvyYnEw5OXT+Fyew5vt+w9p/y8u/RzWj9XxsqX1P6hbDZbP6r9Y+s8vt8oynE+39td3+u/WP7R9nf/AGf+0Pqtl9VsitTWP+PuH/sF6H/6ZdPrLrU1j/j7h/7Beh/+mXT63POMuiiigDU0f/j7m/7Beuf+mXUKy61NH/4+5v8AsF65/wCmXUKy6ACiiigDUh/5Auof9hTR/wD0k1ysutSH/kC6h/2FNH/9JNcrLoAKKKKANTWP+PuH/sF6H/6ZdPrLrU1j/j7h/wCwXof/AKZdPrLoAK1ND/5DWj/9hTT/AP0rhrLrU0P/AJDWj/8AYU0//wBK4aAMuiiigArqPD3/AC7/APY0eGP/AHLVy9dR4e/5d/8AsaPDH/uWoA94ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDg/iH/wAgW1/7CkH/AKSXteN16x8TPjJ8IPgrpNhr3xj+Kvw3+Euh6rqI0jS9a+Jnjnwx4D0nUtWNtPejS7DUfFOqaVZ3momztbm7FlbzSXJtreefyvKhkdfQLS8tNQtLW/sLq3vrG9t4LyyvbSeK5tLu0uYlmtrq1uYWeG4t7iF0lgnid4pYnWSNmVgSL3lKUfejCfs5yj70YVOVT9nOUbxjU5Gp+zk41ORqfJyNTY/dcYy0lKHtIxekpU+Zw9pGLs5U+dOHPFShzpw5+ZOK/FD9on/gkB/wTr/ac+Ker/Hj44fs8f8ACb/Fb4g2GjTeL/FX/C2vjn4a/teXwvpsHgbQm/sPwh8TNA8N2H2Hwt4X0LS9ul6PZLc/Yftt4LjUbm8u7j7m+HfgDwl8KPh/4F+FvgDSf7A8CfDXwd4Y8AeCtC+36nqn9i+EvB2iWPh3w3pP9p61e6jrOo/2do2nWVn9v1bUL/U7zyftF/e3V1JLPJ6b4F8X/szaJ8Y/i58P/AfxI+Fz/Hfx94rtfib8XfhvpvxP0fWviRP4k0f4afDf4a2/iHVfh9N4jv8AXPDNvafDbwH8ONLkttP0TR9HNvZWet3Fo+q65qOp6n2er/HD4LeH/iLo3wg174v/AAu0T4teI7eC88PfC7V/H/hPTfiLr1pdLetbXWjeCbzVofEuqW9wum6i0E9jpk8Uq2F6Y2YWs/l7zxWJxFPC0p4itXpSTWCpyqzq05qEZQksJDmnGooQpzjL6uqvJGnNS5VTnyYxw+HoVMRVhQo0aiaeLqRpwpzi5yjOLxUrRlDnlUjKPt3T5pVIuPM5x5/MKK+oKKwNj5z1z/kNax/2FNQ/9K5qy6+oKhuLiC0gnurqeG2tbaGS4ubm4kSGC3ghRpJp55pGWOKGKNWkkkkZUjRWZmCgmlKUYxlKUoxjGMpSlKSjGMYpylKUpOMYxjGMpSlKUYxjGUpSjGMpJpOTUYpylJqMYxTlKUpNRjGMYqUpSlKUYxjGMpSlJRim2k/mWtTT/wDj01z/ALBcP/p60evQfhl8aPg78a9N1HWfg38WPhp8WtH0e+TTNX1b4ZeO/C3jzTdL1J7dLtNO1G+8K6rqtrY3z2ssdylpcyxXDW8iTCMxurHj/jp4j/Zx8EzfCn4hftEePvhv8OE+HPxEvvFXwq8TfEz4kaX8N9JsfiLqfwz+Ifw2vHsLnWvEOgaT4h1Gf4bfEP4g6YND1MataR22pz63Dpqaro+mappzn+75fafu+bk5ef3Ob2v8Pl5+Tm9pZ+z5eb2lv3ftBR9+/J7/AC8/Nye/y+z/AInNyc3L7P8A5ec3Lyfb5DmqK9b8d/GD4SfC7wpZeO/ib8Uvhz8OvA+pXFhaad4y8d+N/DPhHwpf3Wq20t5pdtZeIfEGp6fpF1calaQT3VhDBeSSXltDLPbrJFG7Bfhr8XvhN8Z9Eu/Evwe+KHw7+LHhzT9Tl0S/8QfDXxr4a8d6JZazBa2l9PpF3qvhfU9VsLbU4bK/sbyWwmnS7jtb20uHiEVzC7vllzVY8suahLlrx5XzUJcyjy1425qMuZqPLWjRlzNR5eZqLV1y053XJWSdGd1yVk02nRlflqppNp0pVU0m02k2vI61Jv8AkC6f/wBhTWP/AEk0OvoyikM+ONA8Sf25qvjfTPsX2X/hDfFFp4b8/wC0ef8A2j9q8F+EPF/23yvIh+x+X/wlX9n/AGfzLrd9g+1+ev2r7Nb9PX1BXl3jz44fBb4Wa14X8N/E74v/AAu+HPiLxxcGz8FaD488f+E/CGteMLtbuzsGtfC+l+INW06+8QXC32o6fZGDSYLuUXd9Z25XzrqBHilGaVOnOftatSrKFO0VGdWdWrVlRo06cbyqVFTlClCFOM6lV0nJU5SlJLoxdTD1atSthsN9Tw8KFBzpurOtGl7DB4Sli8RUrVFHkp18VRxWNk6jhSw6xnsFNU6FNvzCtTWP+PuH/sF6H/6ZdPr6Mrx34bf8KS8Cax4o+Cnw38Q+ELPxVpuveN/i/wCL/htZeNIdc8aaPqfxw+Inif4p+LfGGteH9Q1rU/E+jaV4y+IHjXxJrmntcwWmgWzamNK8NwWOjWmn6ba2tWorWUlNqK1k1Th7So1FXk1Tpp1KjUWqdNOpNwguc53onJ6RTinJ6RTnLkgm3ZJzn7kE2nOfuQU5+4cDRXp+m/HD4Laz8SNV+DmkfF/4Xar8XtCt5LzW/hXpvj/wnffEjRrSG3s7yW61XwPa6tL4n063itNR0+6knu9LhiS3vrOdmEV1Az+o0LWMJrWFROVOa1hUipODlTmrwnFTjKDlCc4qcZRbUoyih6SlB6Tg1GcHpOEnFSUZwdpQk4yjJKcYNxkpJOLUn856P/x9zf8AYL1z/wBMuoVl19QUUAfL9FfQnibxP4b8F+H9Z8W+MfEOh+E/Cvh3TrrV/EHibxNq1hoPh/QtJsomnvdU1nWdUuLXTtM060hVprq9vbmC2t4laSWVEBIxvh/8Sfh18WPDVt4z+Fnj7wV8S/B95cXdnaeK/h/4q0Lxl4auruwma2v7W213w7f6lpc9xZXCtBdwRXTS20ytFMqOCoF7zmo+86ahKoo+86cajcacqijd041JJxpymoRnJOMHOSaQ/d5HL3VUco03LRVJQSlOMG7c8oRalNQ53CLUpqCab8oh/wCQLqH/AGFNH/8ASTXKy6774h/8KS8EeLvBvxy+KXiHwh4H8R+GdD8VfB7wb428a+NIfCOlQ6d8ZvEPw51vxB4NtY9X1rTfDWqav4w8Q/CP4fzaal1aXviCObw8bLw9Pa2+q65balf+J/x0+CXwRg0i6+M/xi+FfwitvEM15b6Bc/E/4heEvAMGuT6ekEl/BpE3ivV9Jj1KaxjurWS8jsmne2S5gaZUWaMsnKKV3KKXtI0buUUvbSgqkaV3JL2sqbVSNK/tZU2qkacqbU21GTdlFt8kqtkm37KMnCVWyTfsozjKEqlvZxnGUJVIyi4rzKivcvAvj/wH8UPC+m+N/hp428I/ETwXrBvF0jxf4F8SaN4t8L6q2n3txpt+NN1/QL3UNKvjY6jZ3en3gtbuU217a3FrNsngljXrqqUZRbjKMoyWjjKMoyTsnZxkoyTtKLs4p2aezTcqSkrxaktVeLUldNxavFtXUoyi1e6lGUXaUZJfOesf8fcP/YL0P/0y6fWXX1BRSGfL9amh/wDIa0f/ALCmn/8ApXDXd6b8cPgtrPxI1X4OaR8X/hdqvxe0K3kvNb+Fem+P/Cd98SNGtIbezvJbrVfA9rq0vifTreK01HT7qSe70uGJLe+s52YRXUDOnxx0n4T+Ifg18VPDPx4vvD+nfBXxZ8P/ABb4Q+K114q8UP4J8Oj4f+LdDvfDfiu31jxfFq2gz+GrK90XVLyyl1q11rSb3T/tAuLLUbO7SGdE5RVONVyiqUoucarlFUpQjLklONVtU5QU04OUakoqacHJTTgmk3N0km6kZKMqaTdSMnHnUZU0nUjJwamoypxk4NTUXFqT8xor17wD8W/hT8VfC9z43+F3xO+HvxI8F2d1fWN34v8AAPjTw34w8L2t7pkENzqVnc6/4e1LUdJgutPtriC4vreW7Wa0gnhlnSOORGat8MvjR8HfjXpuo6z8G/ix8NPi1o+j3yaZq+rfDLx34W8eabpepPbpdpp2o33hXVdVtbG+e1ljuUtLmWK4a3kSYRmN1Y1yyUpQcZKcKcas4OLU4UpOKjVnC3PClJzgo1ZwjTk5wUaknOCnPNFxjNSi4TnKlCaknCdWPM5UozT5ZVIqE3KnGUqkVCblTioT5fKq6jw9/wAu/wD2NHhj/wBy1e8UUhhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH4X/G/4cfD79oj/gshp/wp+PnhPw78Qvhj4J/4J6+JPF3g3wj44tNI17wzZeKvEnxSi0DX/E9jouq2txaW2vR6MWSLVGjbULJ9I0/U7S4t30y1kh9V/wCCNHinxXqH/BMP4YXeoG8vLjwoPjF4f8H3V5efaJr7w94X8feL7Xw3FFc3Xmxx2mmrB/YFjGytb21npUESp5MYWvpj9rP9gP4Sftda/wCDvG3iHxx8a/g38S/BOja74U034o/s9/ECP4c+PNQ8C+JoZ49e8Aa7qdzoniKx1XwhqU07Xc2nzaYt1HM1zBb30On6prFlqPWeDv2Nvh58NF/Zv0j4VeN/jH8LfAH7M+l+JNJ8PfCbwN8QJtL+GfxJg8TWYgu5/jV4fudOv7n4hX1lqDXfiLTLy41PT5rbxFqOoanI07XBiXCjSn/ZeOwDqPC1MZgq+VqtSvOMKtbP+LM8jxBJU3TqSxVKhnOW5asOpfW3PDyqRrrBYehGGuIqRljsNi4044iGHr4PHqlV9y8cHw5luR1MlhJ83Lh8disNXzCriG1hYQjTU6MsbU54fzN/Cbwb4V8P/sTf8EzP2tPDXhnR5f2qfH//AAUw02Lxn8S7aPT4/iT46Hi74p/FjR/EnhfxJ4qt4U13V9H1bTNG0m3uNJvLyWxjF7eXMdvGdWuWnsfFvwT4O8Y/sef8FaP2p/FugaPd/tM/Dr/gold6b4B+KV6ml3PxF8D6f4I+Jnwl0TwhonhXxUtuur6JpdppOr6nYxWGk3NrZ3VvZWSvDJ/Y9sYP3g8Df8En/wBmLwB8dNL+NOka38aL3RfC/wAQda+LXgD9nvW/iQ+o/s3/AA1+KOvLE1/4+8DfDc6NDdaV4gW7FzqFmbrxFqGnWN1eFLTT4rPTdCtNJPiR/wAEoP2Y/ih8cNb+M+u658adN0fxp4z8OfEf4nfAHw58SJNJ/Z1+LPxC8LNJJpfjT4h/DoaPcXOr655/2S5vDY+IdKsLy5shPNYNJqniA6x1QkpVKE4p4BVq8asFhuSb4ZhTxvhdifZZYlGFPERqUuBszox+rww0V9ZylVoyo1c7ouZSUZ1JSj9dVHESrTVflg+Iac8b4i4n2OYKSqRoQhS4xy+g/rMcSnHD5n7KKp08ppn6J+E73UdT8K+GtS1i1Njq2oeH9GvdUsiSxs9Ru9Otp721LHljb3MksRJ5JTJroKQAKAqgKqgBVAAAAGAABwABwAOAKWqr1I1a1arCnGjCrWrVYUYXcKMKlarUhRg5NycKUKkaUHJuThSi5Nttvlw1KdDDYahUqOtUoYbD0alaV+atOjh6FGdWXM5S5qs6U6suaUpXqu7bu2V+Uf8AwW18SeIfDP8AwTY/aBn8OXl3YTawfh74X1e5srtLOb/hGvE3xH8K6P4htJJCC8lpqml3dxpN/bRFHubG+uIHYwPMjfq5Xm/xg+EngD48fDLxp8H/AIpaDD4m8AfEDQ7nw/4l0aWe4tWubK4KSRzWt7Zyw3mn6jYXcNvqGmajZzQ3en6ja2t7ayxzwRuOLFU5VKNo0qeIcK2DrvDVpclHFwwmYZdjquCqztJQpY2jga2CqSlGUYwxbc4ygpo9LA1oUMXRq1HKMIuopThHmnS9rh8VQjWhG65p0JYiFeMU7ydGy95xT/HD4J/DP4ffs6/8FffDfwz/AGfvBfh3wL8OPHX/AATm0jxH488OeCbPTtE8P3eueHPijJpOgeNtW0vRobWyv/EV1Z29pYT65dQyahqLa1eX9xcTT3080k/xv+HHw+/aI/4LIaf8Kfj54T8O/EL4Y+Cf+CeviTxd4N8I+OLTSNe8M2XirxJ8UotA1/xPY6LqtrcWltr0ejFki1Ro21CyfSNP1O0uLd9MtZIfrX4G/wDBMv4Q/AXSPiufD/xh/ae8W/Ej4rfDaP4RP8eviD8XIvEHxt+HXw7tNP8AsejeGvhR4utPDGkWHguy8PXKw6xoTQ6DezWOqWmnt5kthp1hYW7vjV/wTP8AhJ8c/D/weg8Q/GT9qHwx8S/g14Fufhppv7QvgT4vR6D8evHHgXU9Pex17w38TvG1z4Z1Sx8YWXiOZ21TWnm0C0urjUJb0W9xa6fq2sWGoa4+LxFLDQjJ4iWGw/ElBVcR7k+fialx3HDV4cvuwlw3LiDLHFR9nLEPE5k8pnhvqWBa4MFCVGjiKUpuhPEYXh/DutR96aqcO0uDI4jEzvZTnxBPJMwclLndB0MA80liVi8Wfgn8MPDHx5/aZ/YY/wCCW/wH8AR/s++KtS0v49/HTxpp/hL9p/4geGY/BXjfwp8DvEHiy18G6ZrPw3m1tPin8UPBdnYax4l8Oapovwz8L+J4tK0jSLdfEa6PozpeL+3/APwS2+Kll4w8CfHf4Waj+zn8E/2b/if+z58dfEnwz+Lvh/8AZy8L6d4V+DHjLxhY2lpHH448J6fZWVrdQyahpVlZ6bdW2t3Wra3HaaXpd3d38EV/b6LpHe/En/gmX+zT4++DHwO+C2gN8SPgxa/s2Xf2/wCCHxI+Cvjebwd8W/h7e3ZR/EV5o/jS80/XWku/GE6C88UXV9p13c32obdStpbLUIbe5h90/ZY/ZR+FP7IPw6vfh38Lf+Eo1T+3/E+r+OfHPjnx9r8niv4h/Efx1rxhGseMfG/iOS3so9S1zUEtraOZrHTtM09fJM0VhHdXN5Pc9/toe3zhuU50sVWxNWnKcb1sbi5y4Yo4XMXODoywkI4PJMcsfl+JjjIV8Xi8JVwjw6p16kYqwdRYCVOlCg6c3OVCnP8A2fAYapjOK8dXy6EJqpTxUo1c8yujgcbhY4KVChl2KWIVVVaFOX0rRRRXGbhX8xPx0+Gfw5+PP7RP/BdDxB8b/Cfh3xnr3wK/Zl+HNh8FL7xbbaRrN78OLKL4J+MvGkWp+BZ722lm8L303ivTrDUXvtKa11BZ9SvrWe5catdJP/TtX5z/ALTf/BMT4AftS/E27+Kvifxf8c/hvrvijwxpngj4t6T8F/iW/gLwz8efBWjXtrd6X4U+MWk/2LqzeJNJsobd9MjOmXWg6hJptwsU9/LPpmg3Gk8eJw8682ouEVWy3OctVeTfNga2aYfLaVDMqcYp1Jywv1GvRqRoOnivYY6q8NUU/aQqdeHrwoxvKMpOlmGSZg6UUrYyjlOZyx2Jy6cpNU4Qx9KSpc1ZToKUbV4uny27n9i3U/iL8SP+Cev7Ot9N4nu/CfxM8Wfsw+CLfT/HV/p9t4svtH8Q3vgK1sdB8dXmk6vKln4juUk/s/xNPpupTpa6tIzWt3KsM8jD8wP2GvhHffs7/wDBTz9v3wYPiL8QPjD4q079mr4WeKdc+I/xO1e11Txl4x8Ya5Z6RruoX17cx2sFhYadFfTppnh3SI4JbbQPDtlpWkNcX/2F7y5/Zzw5+ztoPhD4q+GfiP4W+IHxb0Dwz4P+EGnfBnw98AdM8a+R+zxp2iaReRz6V4ni+G/9mMf+E80+xhg0G18SHWcpoUEVibNipmOR4P8A2VPh54K/ag+Lv7WWl6x4zufiL8aPBXg/wJ4p0TUdQ0ObwTYaR4KgsbfSrjQdNtvDtprtrqNwmnwnUJdR8SarazM8ptrO0DIqehmUvruaZjmFCpUwqzTL+M8HOo/exGFlm+AzDB5TUXs5cnPUxVahmuMeDlRjTrzjTrTrfUcOqfnYOm8NlmFwFaFPE/UcXwvi6cLuNCvLL8ww2LzGm7qNRQo4ONbLMP7ZTVWkp1MNSw31l8v8vvwm8G+FfD/7E3/BMz9rTw14Z0eX9qnx/wD8FMNNi8Z/Eu2j0+P4k+Oh4u+KfxY0fxJ4X8SeKreFNd1fR9W0zRtJt7jSby8lsYxe3lzHbxnVrlp/7G6/MzwN/wAEn/2YvAHx00v406RrfxovdF8L/EHWvi14A/Z71v4kPqP7N/w1+KOvLE1/4+8DfDc6NDdaV4gW7FzqFmbrxFqGnWN1eFLTT4rPTdCtNJ/TOtHWhLCRhGlHDupjq2Njgqdnh8rozyfhfLIZdhakFCnUoxrZHisVGVKlSpqnVwnuRrzxiKnCX1ypV53WjGjiKLxdT3cRmE6/EPEWcwxOIp6ypzoYXOMPgEqk6k3KGK9nKOEjhIBRRRXOaH43f8FklGveDf2KfhhrYNx8Nvi3+3v+z94J+KWlTXUMGl+IfCE9/q17LoOtwSqRe6VdXdrBeywu32ZLjT7aedHaKEpnfsF+GdA+Ev8AwUe/4KdfBX4V+GNH8HfBjRYv2ZPGOl+D/CdnZaL4M8JeMPE/w2ln1yDQfDekw2uj6I2vM1xPd29haW6KNGtodipAir+kP7Tf7M/ww/az+E2rfB/4rW+tpol7f6Zr2i+IvCmrNoHjTwR4u0KZrrw9408F68Le7XSfEug3TPNY3FxZX9hNHJcWOp6dqGm3d3ZT/OXgT/gm78MPhr8HPiv8L/Bnxu/ap0bxp8bfE+h+LPiZ+09b/GRh+1J4l1Pw5f2t1osVx8Ux4cEMFhZafbSeHvstv4ciFxoeoarDdPPf6jdag6wLeFnjJTj/ABJ5zJcklfHQzvA8IZdQp4i6TpxyJ5HmGNpKcqka0a1Clg1SxFfFc1YtRxMcHBSso0csozc4yawU8szzO84rYqik3KpUzPD5hh8tkqTpSgnXlipVMLTpU5fnN/wWv+A/iN3+EH7QXij42eP/ABHoVr+1F+zz4M+GPwNhj0zQ/hd8P7fUXvW8V+J7+zs4pdQ8b+O9a1PS7h9N8T6tdWb+HtB1jUvDdvZXtqbS6te8/wCCi/wg+PH7R37dvwC8L/Bjwt+xr8VYfgV8AfiL8Rb74Xfta+JvDXifwnqeq+P9ah8J3lxqnwO8Pa1dfFnU1hsdK8O3HhvxfqHhO2+HFnrwt47nxRBq1uLJ/wBSP2mf2Svh5+1b8OvA3w0+JPiHx7YaP4B+IvgX4naXqnhXVtDtfEGo+IvAAuxpMet3uveG/EVreafftezSaylvYWd9dSbXttQsjv3+b/tW/wDBPz4SftYeMvBvxN1fx78cvgn8V/BOgat4O0/4q/s6/ESP4a+PNS8C62bqXUPA2uarcaF4ittQ8MS3d9eXgtFsbe6WW8vYPtpsb69tLjn9lOjh3QpS5vYcRZjmWDknGPLTxPCVXKMNjaqr06/tpRzivUxWLwteUsTUwrpulXjUwmEoU7VRVaqr1YqnUr8PYbLsSpc1S1WlxJh8xqYSEsPUw/LBZRSnhKOIw/s6Ht51FWpVKeLxNZ5v/BMn43eEvj5+yB4A8Z+Efgr4Q/Z7g0zV/GPg7X/hV8PdH0nQ/h/oHjHw14kv7XxZd+C7DRLHT9Nj0LX9akuteRIYZ5rW+1G+sL3U9avbO41i/wDv2vHPgB8Bfhj+zJ8JPB3wS+D2gHw74B8EWM1ppVlNdz6hf3Vze3lxqWraxq+pXTPcahq+s6reXmpahcuUi+0XLQ2dvaWMNrZ2/sdeljKlOriatSk7wk6d5qFSnGpUjQw8K9WnSq1a9ShRrYmnia2Hw1SvWnhcNVw2FlVqPDcxxYWE6dCEKicZKVVqMpwqzp054jE1KFKrWp0qFPEV6WHqYelicTCjSjisTSxOKVOKxNgrH8RXV1Y+H9dvbFPMvbPR9TurNA0aF7q3sp5rdN8qvEm6ZEG6VWjXOXVlBB2KCAQQRkHgg9CPQ15+KpTxGFxWHp1XQqV8LiaFOvG/NRqV8NiKNOtHlcZc1GdaFaPLKMualHllF2a7KM40q1GrOnGrCnWo1J0p/DVhTq0qkqUra8tWNOVOVteWpKx/HJ8JvBvhXw/+xN/wTM/a08NeGdHl/ap8f/8ABTDTYvGfxLto9Pj+JPjoeLvin8WNH8SeF/Eniq3hTXdX0fVtM0bSbe40m8vJbGMXt5cx28Z1a5af+kP9vL4K/s8fF/4N6Vq37VPjrV/BXwN+CXjzw38cPGEEGp6Bp/hPxZ/whP2tLDwr8Q7XWvDPiO68R+EtZn1NrGbwnoA07XPEWpXGn6dpdzJqUtlA/kngb/gk/wDsxeAPjppfxp0jW/jRe6L4X+IOtfFrwB+z3rfxIfUf2b/hr8UdeWJr/wAfeBvhudGhutK8QLdi51CzN14i1DTrG6vClpp8VnpuhWmkyfHr/gmB8Of2kvhz4s+FnxV/aP8A2vtd8H+Lfjlqfx2lsrr4r+F9Xk0DVb2wubDTfh/4VbxP8OPEEGh/Cnwt9sub3wv4Ot7djpuoSLdyandPDAIuivUlVwcIUcPRw9X+0qea4fDSjTrYTJpU8Lwbl1HBYaly06GKhg5ZFj86w6dKng6tWhleFrUo16+MqUZpxgsdVq1a1arRlQx2Cr4iLdLGZnRx2a8XZrUr1ZpuWHn9UzvC5JJuc8TCGJzDEYapDC4XC0an4U/Ffwh4o0L9hr/gpf8AthfCL4bXv7Mn7Nn7Wmtfs9+GPgf8GNO0/TPA5vvhRpPirw94S8Q/Fi48F6Qkel+EtJ+LNjqt4dP0PToLZtW0bW9Xv4nv/DV9omta7+l3wT+Gfw+/Z1/4K++G/hn+z94L8O+Bfhx46/4JzaR4j8eeHPBNnp2ieH7vXPDnxRk0nQPG2raXo0NrZX/iK6s7e0sJ9cuoZNQ1FtavL+4uJp76eaT7K+H/APwTi+HvhnwL8Xvhj8Tv2gf2u/2pfh78Z/CNp4M8ReEf2n/jjP8AEvSdB0+yuZryHUfA4svDvhm78K6+Ll7addZsrprqCfTdMntDbzWccldF+yZ/wT6+EP7IviTxR468P+Ofjb8ZPiR4o8NaH4Ff4k/tB/EGL4i+M9B+HfhwQNo3w88MX1poXhyw0bwfZXNvDeR6bDprzCWG2g+1/YLGws7XbDSpYbEw5ZVPq2Hw/LQnUlKti6+Hjwlm3DVHKsdWlyzrOnjsc89niouOBviamHwmFw9TBYWBz4hVMRh581OksRXqYr21KmlTwlGviOI+Gc8jmeEhZuDo4HJKuT06UksfVnOWMxeIqRx+Nc/uuiiisDYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//2Q==
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
Boyer, R.W., & Hensley, P. (2016). Meditation as transcending all thought. //Neuroquantology, 14//(3), 535-543. https://doi.org/10.14704/nq.2016.14.3.922
Fiori, F., David, N., & Aglioti, S.M. (2014). Processing of proprioceptive and vestibular body signals and self-transcendence in Ashtanga yoga practitioners. //Frontiers in Human Neuroscience, 8//, 734. https://doi.org/10.3389/fnhum.2014.00734
Lee, M.N., & Kuiken, D. (2015). Continuity of reflective awareness across waking and dreaming states. //Dreaming, 25//(2), 141-159. https://doi.org/10.1037/a0039147
Travis, F. (2014). Transcendental experiences during meditation practice. Advances in meditation research: //Annals of the New York Academy of Sciences, 1307//(1), 1-8. https://doi.org/10.1111/nyas.12316
Travis, F., & Shear, J. (2010). Focused attention, open monitoring and automatic self-transcending: Categories to organize meditations from vedic, Buddhist and Chinese traditions. //Consciousness and Cognition, 19//(4), 1110-1118. https://doi.org/10.1016/j.concog.2010.01.007
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Brunzell, T., Stokes, H., & Waters, L. (2016). Trauma-informed flexible learning: Classrooms that strengthen regulatory abilities. //International Journal of Child Youth & Family Studies, 7//(2), 218-239. https://doi.org/10.18357/ijcyfs72201615719
DePrince, A.P., & Shirk, S.R. (2013). Adapting cognitive-behavioral therapy for depressed adolescents exposed to interpersonal trauma: A case study with two teens. //Cognitive and Behavioral Practice, 20//(2), 189-201. https://doi.org/10.1016/j.cbpra.2012.07.001
Duros, P., & Crowley, D. (2014). The body comes to therapy too. //Clinical Social Work Journal, 42//(3), 237-246. https://doi.org/10.1007/s10615-014-0486-1
Frewen, P., Rogers, N., Flodrowski, L., & Lanius, R. (2015). Mindfulness and metta-based trauma therapy (MMTT): Initial development and proof-of-concept of an internet resource. //Mindfulness, 6//(6), 1322-1334. https://doi.org/10.1007/s12671-015-0402-y
Hagen, C., Lien, L., Hauff, E., & Heir, T. (2016). Is mindfulness protective against PTSD? A neurocognitive study of 25 tsunami disaster survivors. //Journal of Negative Results in Biomedicine, 15//, 13. https://doi.org/10.1186/s12952-016-0056-x
Kelly, A. (2015). Trauma-informed mindfulness-based stress reduction: A promising new model for working with survivors of interpersonal violence. //Smith College Studies in Social Work, 85//(2), 194-219. https://doi.org/10.1080/00377317.2015.1021191
Kelly, A., & Garland, E.L. (2016). Trauma-informed mindfulness-based stress reduction for female survivors of interpersonal violence: Results from a stage I RCT. //Journal of Clinical Psychology, 72//(4), 311-328. https://doi.org/10.1002/jclp.22273
Kroska, E.B., Miller, M.L., Roche, A.I., Kroska, S.K., & O'Hara, M.W. (2018). Effects of traumatic experiences on obsessive-compulsive and internalizing symptoms: The role of avoidance and mindfulness. //Journal of Affective Disorders, 225//, 326-336. https://doi.org/10.1016/j.jad.2017.08.039
Langmuir, J.I., Kirsh, S.G., & Classen, C.C. (2012). A pilot study of body-oriented group psychotherapy: Adapting sensorimotor psychotherapy for the group treatment of trauma. //Psychological Trauma: Theory, Research, Practice and Policy, 4//(2), 214-220. https://doi.org/10.1037/a0025588
Lee, M.Y., Zaharlick, A., & Akers, D. (2011). Meditation and treatment of female trauma survivors of interpersonal abuses: Utilizing clients' strengths. //Families in Society: The Journal of Contemporary Social Services, 92//(1), 41-49. https://doi.org/10.1606/1044-3894.4053
Lee, M.Y., Zaharlick, A., & Akers, D. (2017). Impact of meditation on mental health outcomes of female trauma survivors of interpersonal violence with co-occurring disorders: A randomized controlled trial. //Journal of Interpersonal Violence, 32//(14), 2139-2165. https://doi.org/10.1177/0886260515591277
Lord, S.A. (2013). Meditative dialogue: Cultivating compassion and empathy with survivors of complex childhood trauma. //Journal of Aggression Maltreatment & Trauma, 22//(9), 997-1014. https://doi.org/10.1080/10926771.2013.834018
Michal, M., Beutel, M.E., Jordan, J., Zimmermann, M., Wolters, S., & Heidenreich, T. (2007). Depersonalization, mindfulness, and childhood trauma. //Journal of Nervous and Mental Disease, 195//(8), 693-696. https://doi.org/10.1097/NMD.0b013e3181f4492
Northcut, T.B., & Kienow, A. (2014). The trauma trifecta of military sexual trauma: A case study illustrating the integration of mind and body in clinical work with survivors of MST. //Clinical Social Work Journal, 42//(3), 247-259. https://doi.org/10.1007/s10615-014-0479-0
Payne, P., & Crane-Godreau, M.A. (2015). The preparatory set: A novel approach to understanding stress, trauma, and the bodymind therapies. //Frontiers in Human Neuroscience, 9//, 178. https://doi.org/10.3389/fnhum.2015.00178
Perona-Garcelan, S., Garcia-Montes, J.M., Rodriguez-Testal, J.F., Lopez-Jimenez, A.M., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Benitez-Hernandez, M.D. (2014). Relationship between childhood trauma, mindfulness, and dissociation in subjects with and without hallucination proneness. //Journal of Trauma & Dissociation, 15//(1), 35-51. https://doi.org/10.1080/15299732.2013.821433
Shannon, P.J., Simmelink-McCleary, J., Im, H., Becher, E., & Crook-Lyon, R.E. (2014). Developing self-care practices in a trauma treatment course. //Journal of Social Work education, 50//(3), 440-453. https://doi.org/10.1080/10437797.2014.917932
Valdez, C.E., & Lilly, M.M. (2016). Self-compassion and trauma processing outcomes among victims of violence. //Mindfulness, 7//(2), 329-339. https://doi.org/10.1007/s12671-015-0442-3
Valdez, C.E., Sherrill, A.M., & Lilly, M. (2016). Present moment contact and nonjudgment: Pilot data on dismantling mindful awareness in trauma-related symptomatology. //Journal of Psychopathology and Behavioral Assessment, 38//(4), 572-581. https://doi.org/10.1007/s10862-016-9548-8
Waelde, L.C., Thompson, J.M., Robinson, A., & Iwanicki, S. (2016). Trauma therapists' clinical applications, training, and personal practice of mindfulness and meditation. //Mindfulness, 7//(3), 622-629. https://doi.org/10.1007/s12671-016-0497-9
West, J., Liang, B., & Spinazzola, J. (2017). Trauma sensitive yoga as a complementary treatment for posttraumatic stress disorder: A qualitative descriptive analysis. //International Journal of Stress Management, 24//(2), 173-195. https://doi.org/10.1037/str0000040
Barnhofer, T., Crane, C., Hargus, E., Amarasinghe, M., Winder, R., & Williams, J.M.G. (2009). Mindfulness-based cognitive therapy as a treatment for chronic depression: A preliminary study. //Behaviour Research and Therapy, 47//(5), 366-373. https://doi.org/10.1016/j.brat.2009.01.019
Bondolfi, G., Jermann, F., Van der Linden, M., Gex-Fabry, M., Bizzini, L., Rouget, B.W., ... & Bertschy, G. (2010). Depression relapse prophylaxis with mindfulness-based cognitive therapy: Replication and extension in the Swiss health care system. //Journal of Affective Disorders, 122//(3), 224-231. https://doi.org/10.1016/j.jad.2009.07.007
Bormann, J.E., Thorp, S.R., Wetherell, J.L., Golshan, S., & Lang, A.J. (2013). Meditation-based mantram intervention for veterans with posttraumatic stress disorder: A randomized trial. //Psychological Trauma: Theory, Research, Practice and Policy, 5//(3), 259-267. https://doi.org/10.1037/a0027522
Bowen, S., Chawla, N., Collins, S.E., Witkiewitz, K., Hsu, S., Grow, J., ... & Marlatt, A. (2009). Mindfulness-based relapse prevention for substance use disorders: A pilot efficacy trial. //Substance Abuse, 30//(4), 295-305. https://doi.org/10.1080/08897070903250084
Bowen, S., Witkiewitz, K., Clifasefi, S.L., Grow, J., Chawla, N., Hsu, S.H., ... & Larimer, M.E. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders. //JAMA Psychiatry, 71//(5), 547-556. https://doi.org/10.1001/jamapsychiatry.2013.4546
Carr, A., Finnegan, L., Griffin, E., Cotter, P., & Hyland, A. (2017). A randomized controlled trial of the say yes to life (SYTL) positive psychology group psychotherapy program for depression: An interim report. //Journal of Contemporary Psychotherapy, 47//(3), 153-161. https://doi.org/10.1007/s10879-016-9343-6
Chien, W.T., Bressington, D., Yip, A., & Karatzias, T. (2017). An international multi-site, randomized controlled trial of a mindfulness-based psychoeducation group programme for people with schizophrenia. //Psychological Medicine, 47//(12), 2081-2096. https://doi.org/10.1017/S0033291717000526
Cladder-Micus, M.B., Vrijsen, J.N., Becker, E.S., Donders, R., Spijker, J., & Speckens, A.E.M. (2015). A randomized controlled trial of Mindfulness-Based Cognitive Therapy (MBCT) versus treatment-as-usual (TAU) for chronic, treatment-resistant depression: Study protocol //BMC Psychiatry, 15//. https://doi.org/10.1186/s12888-015-0647-y
Dimidjian, S., Goodman, S.H., Felder, J.N., Gallop, R., Brown, A.P., & Beck, A. (2016). Staying well during pregnancy and the postpartum: A pilot randomized trial of mindfulness-based cognitive therapy for the prevention of depressive relapse/recurrence. //Journal of Consulting and Clinical Psychology, 84//(2), 134-145. https://doi.org/10.1037/ccp0000068
Dindo, L., Recober, A., Marchman, J., O' Hara, M.W., & Turvey, C. (2014). One-day behavioral intervention in depressed migraine patients: Effects on headache. //Headache, 54//(3), 528-538. https://doi.org/10.1111/head.12258
Feliu-Soler, A., Borras, X., Penarrubia-Maria, M.T., Rozadilla-Sacanell, A., D'Amico, F., Moss-Morris, R., ... & Luciano, J.V. (2016). Cost-utility and biological underpinnings of mindfulness-based stress reduction (MBSR) versus a psychoeducational programme (FibroQoL) for fibromyalgia: A 12-month randomised controlled trial (EUDAIMON study). //BMC Complementary and Alternative Medicine, 16//,81. https://doi.org/10.1186/s12906-016-1068-2
Forkmann, T., Brakemeier, E.L., Teismann, T., Schramm, E., & Michalak, J. (2016). The effects of mindfulness-based cognitive therapy and cognitive behavioral analysis system of psychotherapy added to treatment as usual on suicidal ideation in chronic depression: Results of a randomized-clinical trial. //Journal of Affective Disorders, 200//, 51-57. https://doi.org/10.1016/j.jad.2016.01.047
Forkmann, T., Brakemeier, E.L., Teismann, T., Schramm, E., & Michalak, J. (2016). The effects of mindfulness-based cognitive therapy and cognitive behavioral analysis system of psychotherapy added to treatment as usual on suicidal ideation in chronic depression: results of a randomized-clinical trial. Journal of Affective Disorders, 200, 51-57. https://doi.org/10.1016/j.jad.2016.01.047
Garland, E.L., Roberts-Lewis, A., Tronnier, C.D., Graves, R., & Kelley, K. (2016). Mindfulness-oriented recovery enhancement versus CBT for co-occurring substance dependence, traumatic stress, and psychiatric disorders: Proximal outcomes from a pragmatic randomized trial. //Behaviour Research and Therapy, 77//, 7-16. https://doi.org/10.1016/j.brat.2015.11.012
Godfrin, K.A., & van Heeringen, C. (2010). The effects of mindfulness-based cognitive therapy on recurrence of depressive episodes, mental health and quality of life: A randomized controlled study. //Behaviour Research and Therapy, 48//(8), 738-746. https://doi.org/10.1016/j.brat.2010.04.006
Hargus, E., Crane, C., Barnhofer, T., & Williams, J.M.G. (2010). Effects of mindfulness on meta-awareness and specificity of describing prodromal symptoms in suicidal depression. //Emotion, 10//(1), 34-42. https://doi.org/10.1037/a0016825
Heffner, K.L., Crean, H.F., & Kemp, J.E. (2016). Meditation programs for veterans with posttraumatic stress disorder: Aggregate findings from a multi-site evaluation. //Psychological Trauma: Theory, Research, Practice and Policy, 8//(3), 365-374. https://doi.org/10.1037/tra0000106
Kingston, T., Dooley, B., Bates, A., Lawlor, E., & Malone, K. (2007). Mindfulness-based cognitive therapy for residual depressive symptoms. //Psychology and Psychotherapy: Theory, Research and Practice, 80//, 193-203. https://doi.org/10.1348/147608306X116016
Kivi, M., Eriksson, M.C.M., Hange, D., Petersson, E.L., Vernmark, K., Johansson, B., ... & Bjorkelund, C. (2014). Internet-based therapy for mild to moderate depression in Swedish primary care: Short term results from the PRIM-NET randomized controlled trial. //Cognitive Behaviour Therapy, 43//(4), 289-298. https://doi.org/10.1080/16506073.2014.921834
Malouf, E.T., Youman, K., Stuewig, J., Witt, E.A., & Tangney, J.P. (2017). A pilot RCT of a values-based mindfulness group intervention with jail inmates: Evidence for reduction in post-release risk behavior. //Mindfulness, 8//(3), 603-614. https://doi.org/10.1007/s12671-016-0636-3
Marcus, M.T., Schmitz, J., Moeller, G., Liehr, P., Cron, S.G., Swank, P., ... & Granmayeh, L.K. (2009). Mindfulness-based stress reduction in therapeutic community treatment: A Stage 1 Trial. //American Journal of Drug and Alcohol Abuse, 35//(2), 103-108. https://doi.org/10.1080/00952990902823079
McClintock, A.S., Perlman, M.R., McCarrick, S.M., Anderson, T., & Himawan, L. (2017). Enhancing psychotherapy process with common factors feedback: A randomized, clinical trial. //Journal of Counseling Psychology, 64//(3), 247-260. https://doi.org/10.1037/cou0000188
Michalak, J., Schultze, M., Heidenreich, T., & Schramm, E. (2015). A randomized controlled trial on the efficacy of mindfulness-based cognitive therapy and a group version of cognitive behavioral analysis system of psychotherapy for chronically depressed patients. //Journal of Consulting and Clinical Psychology, 83//(5). https://doi.org/10.1037/ccp0000042
Nakamura, Y., Lipschitz, D.L., Kanarowski, E., McCormick, T., Sutherland, D., & Melow-Murchie, M. (2015). Investigating impacts of incorporating an adjuvant mind-body intervention method into treatment as usual at a community-based substance abuse treatment facility: A pilot randomized controlled study. //Sage Open, 5//(1). https://doi.org/10.1177/2158244015572489
Omidi, A., & Zargar, F. (2015). Effects of mindfulness-based stress reduction on perceived stress and psychological health in patients with tension headache. //Journal of Research in Medical Sciences, 20//(11).
Omidi, A., Mohammadkhani, P., Mohammadi, A., & Zargar, F. (2013). Comparing mindfulness based cognitive therapy and traditional cognitive behavior therapy with treatments as usual on reduction of major depressive disorder symptoms. //Iranian Red Crescent Medical Journal, 15//(2), 142-146. https://doi.org/10.5812/ircmj.8018
Owen, M., Sellwood, W., Kan, S., Murray, J., & Sarsam, M. (2015). Group CBT for psychosis: A longitudinal, controlled trial with inpatients. //Behaviour Research and Therapy, 65//, 76-85. https://doi.org/10.1016/j.brat.2014.12.008
Poehlmann-Tynan, J., Vigna, A.B., Weymouth, L.A., Gerstein, E.D., Burnson, C., Zabransky, M., ... & Zahn-Waxler, C. (2016). A pilot study of contemplative practices with economically disadvantaged preschoolers: Children's empathic and self-regulatory behaviors. //Mindfulness, 7//(1), 46-58. https://doi.org/10.1007/s12671-015-0426-3
Pylvanainen, P.M., Muotka, J.S., & Lappalainen, R. (2015). A dance movement therapy group for depressed adult patients in a psychiatric outpatient clinic: Effects of the treatment. //Frontiers in Psychology, 6//, 980. https://doi.org/10.3389/fpsyg.2015.00980
Schramm, P.J., Zobel, I., Monch, K., Schramm, E., & Michalak, J. (2016). Sleep quality changes in chronically depressed patients treated with mindfulness-based cognitive therapy or the cognitive behavioral analysis system of psychotherapy: A pilot study. //Sleep Medicine, 17//, 57-63. https://doi.org/10.1016/j.sleep.2015.09.022
Schuling, R., Huijbers, M.J., van Ravesteijn, H., Donders, R., Kuyken, W., & Speckens, A.E.M. (2016). A parallel-group, randomized controlled trial into the effectiveness of Mindfulness-Based Compassionate Living (MBCL) compared to treatment-as-usual in recurrent depression: Trial design and protocol. //Contemporary Clinical Trials, 50//, 77-83. https://doi.org/10.1016/j.cct.2016.07.014
Singh, N.N., Lancioni, G.E., Karazsia, B.T., Chan, J., & Winton, A.S.W. (2016). Effectiveness of caregiver training in mindfulness-based positive behavior support (MBPBS) vs. training-as-usual (TAU): A randomized controlled trial. //Frontiers in Psychology, 7//,1549. https://doi.org/10.3389/fpsyg.2016.01549
Strauss, C., Hayward, M., & Chadwick, P. (2012). Group person-based cognitive therapy for chronic depression: A pilot randomized controlled trial. //British Journal of Clinical Psychology, 51//, 345-350. https://doi.org/10.1111/j.2044-8260.2012.02036.x
Sundquist, J., Palmer, K., Johansson, L.M., & Sundquist, K. (2017). The effect of mindfulness group therapy on a broad range of psychiatric symptoms: A randomised controlled trial in primary health care. //European Psychiatry, 43//, 19-27. https://doi.org/10.1016/j.eurpsy.2017.01.328
Thompson, N.J., Patel, A.H., Selwa, L.M., Stoll, S.C., Begley, C.E., Johnson, E.K., ... & Fraser, R.T. (2015). Expanding the efficacy of project uplift: Distance delivery of mindfulness-based depression prevention to people with epilepsy. //Journal of Consulting and Clinical Psychology, 83//(2), 304-313. https://doi.org/10.1037/a0038404
van Aalderen, J.R., Donders, A.R.T., Giommi, F., Spinhoven, P., Barendregt, H.P., & Speckens, A.E.M. (2012). The efficacy of mindfulness-based cognitive therapy in recurrent depressed patients with and without a current depressive episode: A randomized controlled trial. //Psychological Medicine, 42//(5), 989-1001. https://doi.org/10.1017/S0033291711002054
Williams, J.M.G., Crane, C., Barnhofer, T., Brennan, K., Duggan, D.S., Fennell, M.J.V., ... & Russell, I.T. (2014). Mindfulness-based cognitive therapy for preventing relapse in recurrent depression: A randomized dismantling trial. //Journal of Consulting and Clinical Psychology, 82//(2), 275-286. https://doi.org/10.1037/a0035036
Williams, J.M.G., Russell, I.T., Crane, C., Russell, D., Whitaker, C.J., Duggan, D.S., ... & Silverton, S. (2010). Staying well after depression: Trial design and protocol. //BMC Psychiatry, 10//. https://doi.org/10.1186/1471-244X-10-23
Zemestani, M., & Ottaviani, C. (2016). Effectiveness of mindfulness-based relapse prevention for co-occurring substance use and depression disorders. //Mindfulness, 7//(6), 1347-1355. https://doi.org/10.1007/s12671-016-0576-y
Cladder-Micus, M.B., Vrijsen, J.N., Becker, E.S., Donders, R., Spijker, J., & Speckens, A.E.M. (2015). A randomized controlled trial of mindfulness-based cognitive therapy (MBCT) versus treatment-as-usual (TAU) for chronic, treatment-resistant depression: Study protocol. //BMC Psychiatry, 15//, 275. https://doi.org/10.1186/s12888-015-0647-y
Eisendrath, S., Chartier, M., & McLane, M. (2011). Adapting mindfulness-based cognitive therapy for treatment-resistant depression. //Cognitive and Behavioral Practice, 18//(3), 362-370. https://doi.org/10.1016/j.cbpra.2010.05.004
Eisendrath, S.J., Gillung, E., Delucchi, K.L., Segal, Z.V., Nelson, J.C., McInnes, L.A., ... & Feldman, M.D. (2016). A randomized controlled trial of mindfulness-based cognitive therapy for treatment-resistant depression. //Psychotherapy and Psychosomatics, 85//(2), 99-110. https://doi.org/10.1159/000442260
Eisendrath, S.J., Gillung, E.P., Delucchi, K.L., Chartier, M., Mathalon, D.H., Sullivan, J.C., ... & Feldman, M.D. (2014). Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: A randomized control trial study protocol. //BMC Complementary and Alternative Medicine, 14//, 95. https://doi.org/10.1186/1472-6882-14-95
Moukaddam, N., Hashmi, A.M., & Nguyen, P. (2016). Use of psychotherapy in treatment-resistant depression. //Psychiatric Annals, 46//(4), 230-235. https://doi.org/10.3928/00485713-20160217-01
Hoy, W.K., Gage, C.Q., & Tarter, C.J. (2006). School mindfulness and faculty trust: Necessary conditions for each other?. //Educational Administration Quarterly, 42//(2), 236-255. https://doi.org/10.1177/0013161X04273844
Khalifian, C.E., & Barry, R.A. (2016). Trust, attachment, and mindfulness influence intimacy and disengagement during newlyweds' discussions of relationship transgressions. //Journal of Family Psychology, 30//(5), 592-601. https://doi.org/10.1037/fam0000194
Lanham, H.J., Palmer, R.F., Leykum, L.K., McDaniel, R.R., Nutting, P.A., Stange, K.C., ... & Jaen, C.R. (2016). Trust and reflection in primary care practice redesign. //Health Services Research, 51//(4), 1489-1514. https://doi.org/10.1111/1475-6773.12415
iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAYAAACAvzbMAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAIkBJREFUeNrs3c9vXOW9x/HHsePwIzJONmGB6SC6IamUiXSRknTBsElYVCJUhdudHQFrYvgDEv8BNMm6pbF3LRdBkFiUbGIWQCSuhCM1sOkV05oFbIixSAKEwD2fmeckE2fsmXPm/Hh+vF/S3DHc5gfPzDmf831+jhkgEDNL69PJW9P+Y8O+5Fc9P0vv/64oK8lrreef28nr3z0/t9P/3ers1BqfFkIwRhPAo4BIQ6FpQ2C/fW9sCAgfpKGiMLls3xVC7SRg2nzaIECAfEHR7AmK/T0/x2TFBszlnmBZ4dsBAgS4ExatnqBoRhgUeYJlJQ2WJFSWaRIQIIilsmgRFqWGyjKVCggQhFJd6PWUuTNugfKl4ykf2EChSgEBAm8qjGftO9yhEHmXCgUECFwJDFUUx2yFcYwKw6sK5bytUM4zrRgECKquMmYNYxihUEWyRHUCAgRlhcasrTIatEjQ2rY6WSJMQICA0ABhAgIEpYeGgmLOBgehgY1hom6uRVbKgwBBGhrpQPgrhjENDEfVyFnDADwBQhNEGxwtc6eLitlTyCOdzbXEWhMCBHFUG3O22mjQIihQ21Yli1QlBAjCCo6mDQ2qDVRVlZxl4J0Agd/BkY5ttGgN1GDZBsl5moIAgR+hkQ6KnzR0U8EN7eS1YBh0J0DgdHCcsBUH3VRwkcJD4yRnCBICBG4ER8OGxhzBAY+CZNF0u7faNAcBgnqC46QNDsBXCpIFgoQAAcEBECQECBwMjmkbHCdoDQTsjA0SxkgIEBQUHAyOIyYMthMgKCA85pK30wQHIg6S+SREFmkKAgTDB0creTtnWMcBSDt5HWe/LQIEWwdHwwZHi9YA7rFsg6RNUxAguBMcDJADw2OgnQCBDY85wzgHkBXjIwRI1MHRtMHRojWA3JZtkLDzLwESRXCk03JP0hpAYbRZI9N+CZCgw0PVBrOrgHK0DbO1CJBAqw4GyYFqMMhOgFB1AKAaIUCoOgBQjRAgoOoAqEYg22iCwsPjVPJ2kfAAnKFr8aK9NkEF4mRw6Ev6TvJq0hqAs7Re5Dm2Q6ECcSk8jiVvnxIegPN0jX5qr1lQgdQaHBoo12ryOVoD8M6i6a5iZ4CdAKk8PPQkc46qA/CaurSOsxUKAVJleByz4cEGiID/1myInKcpsmEMJHt4qMvqHcIDCIau5XfstQ0qkFKCY9oGR4vWAIK1bLqztBgXIUAKC4+mDY8GrQEEr21DhHGRAejCGhwec4aFgUBMdK1ftNc+CJDc4XHKMFgOxEjX/DlWr2+NLqzNw0PBwRMIgMXV2anjNAMBMkxw6MlDXVas7wCQ0njI0wyu340urLvDo0l4AOijc2+w9whQgWwaHox3ANjMmq1EmKFFBXI7PFqEB4AhTNtKpEVTECC903QJDwBZQmQu9oaIugvLfgHOcT0AyEl7aC1SgcQXHicIDwAjOmfvJVQgEYUHazwAFCnKtSLRBQjhAYAQIUAIDwCECAFCeAAgRAgQwgMAogiR4AOE8ABAiBAghAcAQsQhwa4DsXOzCQ8AdZoLecV6kBUIK8wBOCbIFevBBQjhAYAQIUDyhEfLdDdGBAAXaSv4ZQLEvfDgPA8ArgvqPJEgAoTwAECIECB5woMzzAH4Jogz1kOYxkt4APBN2mviNa8DxC4UJDwAeBki9h5GgNQQHqcMCwUB+G3O3su85OUYCGs9AATGyzUi3gUIM64ABMjLmVleBYidcfVp8mrwfQMQmHbyOuDTzCzfxkDeITwABKph73He8CZAkurjdPLW4jsGIGAte6/zghddWEmDHvMtmQFgBM+tzk6dJ0BGDw8GzQHExotBdacDhG1KAETM+e1OXB8DOU14AIhU094DqUByVB+MewCAw+MhTgZIEh4N013vwbgHgNipC0vrQ9qu/cVc7cJ6h/AAgI5p42hvjHMBYjcWY9wDAO5ourjpolNdWJxpDgBbcupMdWcChH2uAGCgtnFovyyXurBOEh4AsKWGvVdSgfRUHy1D1xUADMuJrqzaA4SuKwDIrG0c6MpyoQuLrisAyKZhHOjKqrUCoesKAEZSa1dWbQFC1xUAjKxtauzKqrML6wThAQAjadh7aTwViD3j41M+ewAoxIE6zg6pqwI5zecNAH7fUysPkKT6mDOcbQ4ARWrZe2ulKu3CsgPnXxh22gWAomkg/bEqB9SrrkBOEh4AUIppU/HakMoqEHtI1Bd8xgBQqseqOnyqygrkHJ8rAIRzr60kQOyK8xafKwCUrmXvucFUIFQfABBYFVJ6gNipZQ0+TwCoTKOKab2lDqIzbRcAalP6tN6yK5AThAcA1GLalLxPVmkVCNUHAIRdhZRZgbBoEADqr0JKW1xYSgXCokEAcEopiwvLqkBO8nkBgDNKuScXXoFQfQBAHFVIGRUI1QcARFCFFFqBUH0AQDxVSNEVyCt8PgDgrELv0YVVIKz7ANywd/c289DkmNm7a9xMTQ6+xD/75pZZv/mLufLNz2b9x19owLAVui5kosC/GKvOgRrC4tCeCXPw4XGzb9c288jO0ToVFCCfXf3ZfPzVrU6wfPz1LUIlLOnq9FPOVCBUH0A1VFEcnZkwRx6dSIJjuApjVJ8llcn7qz8lr5udn0EVUnQFcozwAMqj0PjDr7d33uuocvbunjTz+yfNl9/9bN74/GYnUPQzvK1CdM9edKUCUfXR4HMBiq02Xnxi0jz/+MTIXVNl+J//u2neSl7q7vLFoYfHzeuH7zPPvHc99q65dlKBPFZ7gCThoSR7h8sdKDY4XnxieyVdVKO69PUtc/ryD04HiQL4T7+9zxzcM96pnl6+eIMvmjHPJSFyfpTfoIh6mKm7QEHm9+/wJjhSuin//cgDnSB59cPvneraUnCo6+35x7ff/ndv/esmX7Q79+6RAmSkb2lSfTSTt0/5HIDRpF0rLnZVZXX68o/mjc9/rLWLqF9wiP5Ov/nbd3zh7jiQVCErdVUgVB/ACFRpvP7b+2oZHC+viuqO27z20feVd2tpwL87brS97/9fEwBwzz38eOUVCFN3q6OL4crVW0yhpOrwjiqRhU9+KP3PUQC/uHey0522FVUfrGu5y0hTekd57JkjPKp5Qj355I7Oz5o5wtTJUJ7Sd3Se1EOnakALHV9avlH4d1fBq4erYWepadYY4XGPaXsvP5PnF4/y6EP3VUUXoEJEr7+07vdqcBX9HwjUZRVDeKTUrfSP3z3QeS+qIv/z0/ebj37/YKcdh63gNDaDYu/lue5GM0vrreTtIu1e/s1GF0lvaGimywvvX6dxPP083zxS3I3UR699+H2nEsgqXX2v9zwPUVV1pXns6dXZqeWsvyhvF9Ys7V1d9dFLfbx6gtWFCMLDN/ruyqAQUVWhrVqK2LJF3VZUH0Pd0zMHSOZPhcHz6vzzjzs3vXB4ovKHQkPhQffj5pWI2kZBoU0hNWZSZNDqOtH1gi3lGkzPU4Gw71UF1M+71Q1H1YlmZeXpDkC1lQdjV/0rEYVEGhxlzURTly/hMZRc+2PlCRAGzyug0r2o7gDUFx6qPEKepjsKPQSVSV1Xr9LVm/XenilAMn2z7ZG1Tdq5XLrhDLuwTCGy2aIp1Isxj3pp3INp75k07T2+nAAx3fnCKFnWVcmEiHvSLhrUQxsm0nWVS6Z7fNZvOLOvqgiQR7P3LBIi7ugubuOzqIvGBpmlmFume/zQAWI3TmzQvuVSv/mg7RgIEXep6kh3DkD1OuMeH91gxXl+DXuvL7wCofqowKGc4UGIuOFPh5lxVWd4vHDhOnvGVViFZAmQY7Rr+TQPflSESD20vxXjHvXReg/CoxBD3+uH+rbTfVWdfbvHC/l9CJFqaeacDoJCPfJukZJS8HPN3DZ0N9awj0t0X1VVgewZL+z30gVBf3w11M50XfkVHvq8FBj/+N2DnddM8hDAmqps9/xhp/vQfVXRU2zR0v20mJVSHp3rEdKBUL7IO+bRb2NGFh32vefPjxwgdF9VZ2ZnOU+wesrS09VLF5mdUgaNfaBaWiCoM0aGDY9Bu/m+5thZ7g7odGMNOu52mMemFm1ZjYN7Jkr8vcc7K6PLONgn9uqjyG5HDKb9rQY9DCkkFBYHbXW4Vfeiuq208BB97/0jBwjjH4FID/ZhqiPVh6+0Pcnpy/fuQq3u3327tmXezVfXAbtab3nv3/Kkwi37TOzW7Vdpx2rolLWq+tJHnbWCNJAfpCEqoBu9FgjqXWGh7t6DNigUHHnGD1XBcEz0QLu22uJ90N2KwfMKPVThLB7N0NLTmp6+GBfJp+zdZHHnRr967Wdz6sn7Cu0uZNxjKFtu8T4otp+i/cKlwXW2G88nnQKKatq6M55RYHjowYlxj6FsmQGD7hxUIIFLx0WYhpoN7eUvdd2yU2+mCiR7gNjpu5w8GMkTnsZfWAw3vCOPEiA+0gwu1kRlMr3VqvStKpAWbRcX9elzCNJwgUsF4h8NwGv6LzJr5QmQZ2m3+KQzixgg3hzh4Wd4aPo6E0ZyeZYKBJmoO+vNowyw91PEjsmojmZaER4VViAzS+uERw2+dewLrlkvGmCnGrnbIVaee0Ohod0XCI/RbJYJ26g+3CqzXaP+/rQaYWyk2x5UZf6EB7sulFuFbHYlsP4DfaqRBztbd8Q8U2sfIerNwxjhUainsgRIk/aq3qWv3V/YNL9/Mup1I2VueAnCw2HNoQKE9R/1+daTflp14WjdSIzdWo/sZJ2MD+HBmEfh+q4H6Xf1t2ir+r78fj2Nd7u1tK9WLN1aM4x/OEsrzAmPUrWGCZD9tBMhkoX2hPro93GMjzzyIBWIq+GhFeaER6n2DxMgjH/U6OOv/dzgTcGh8ZHQg4QZWO5RcLA9SSW27sKy538QIFQgIwdJun6EvbVQlu55Htc418aVACE86hfKFtN6Utf6kVi6tlAtbYp4+O1rzLSq2MYFhQSIg09VIV0UG7u2fO4CYiGlG3Ss7QvvM1juQhWy8YpgAN0BIZbkvUGiWVs+3owfooqqnc7x6HcmOiqznwrEcaGflKZZW5r+qxen+iELJjG4XYEQIA7Q7qEx9O2qClE18s8/7vSiKvn4q1t8OakCCZB+AbLVqVOop1SPRXq+eFqVaPYWT5qAm3qzovcqbdA07lA3VoyDhKpC0tlb2i5FwcIMLsApjX4BQgXiEIVH7PPbtWFj2sWlMKEyAZzQtwJhBpZj3vicBVK9YZJWJurm0s+HajgZUOsPgMjdzoqJfmUJ3KDBdFUhzFS6m7q59u6e7FQkqtQ+Tm7ql7661dkGhoVlQOka/QKELiwHadEUAbI5jY+oOumeT7KjuxDz6s+dGVM6X+VKEihFjiXp9z3IkbaIW/OuAJlZWqf6cLgKUYhoER6GCxTd4Ls3+cnbbXjlandqtEJl9btfOv8u7+cBxE6ZsTo71Z7YWJLAPZrS+/zjEwwg56R20+vojLkdKqLxjG/t1jHdyuXOP2/mylXGQACbGbcDhO4rh+nmtvDJD52ZSChO2hXVDZZ79Q6Ys4jQDXwOzlBmLKcBwhG2jtO6EL1iPYu8zoDZ+DOAbmakfSJM4fUAJ64BcMT+3gChAvGAwuPl5Rs0BACnKpAG7eEH9QFrVhYQ60MUnNAgQDyl8xBC3/Id6OczZsG5FSD2HHR4RuMhrLoGUBdlhyoQpvB6Wsq/cOE6IYKofEsXlkuarExzhBa6Zd0ckBBBbPiuu0UB0qAZHCgHd46Zvx95wLx59IFMQUKIAKhJgwBxjBasZQ0SQgQxYCt9NwMEDgeJzr8Y5iClNESYnQWgKror/YpmqN9me/woOHoPUlKY6DyMzULk5Ys3ojpPHfG48g0ViGN+pY2VGrSDHzrnhe/eYXTuhbYV10FK6rbS3PjeANLGizpgScfBcp44QrHOc5FrGuzM5ylVJs+rW+vxuysQHaaUbkmu0wxVsQAh0FkucAsB4tQFMtppd+lhSrLZFuWAr1gD4h51prMSnQsEcB6zDJ3DSnQuEIBrA7mwEt2ti4RZJkA/q9cIEBcRIA65cpWLBKACIUCQg6bmct4BcC9mYBEgGMLHbNcA3FudU4EQIBjswn940gKozAkQUIEAo1cfjA0SIBj+aYsBQ+AOrgcCBBloCxIAXQygEyAgQIBcNtupGgQI+tCAIed6ABwiRYAgl79ypgdA9UGAIO+Fw+AhqECoxAkQ5MLJguBBigqEAEEuGkzXtF4gRowDEiAYkY6nBWJ0ieqDAMHoT2HMRAEVCAgQ5HLqk+9pBERFXbd03xIgKIBmY52+zIA6qD5AgCCH05d/YFovonGBAPEmQFZoBj+8+tENGgHB004MTN/1wooCZI128IMqEGZlIXR0X3ljjS4sz2hxIZstImQcquYPAsRDqkIYD0GI2EjUvwBp0wz+XWQvXLhOiCA4VNde6YyB/Jt28DNENKjOWdEgQFCTb+nC8pgqEFUihAhCwHHO/qELixABnPDG51QfnmkTIIGEyOG3r/H0Bq8xeO5ngCAA6cA6Gy/C1/Bg7yv/sBI9tBB5/zr7ZsE7b/2L7isPrYzp/84srdOBHphDD4+bP7fuN1OTYzQGnKbKQ12w8Mvq7NRY2oXVpjnCor2EdFHSrwzXMXjupU5mECABU5fWyxdvdF70L8PV7yhrP/wPEDZUDJiqkGfe646NMN0Xrn03+U56aa03QC7THuE/6elMEXVrESRwBRM+vHWZCoQgIUhQa/VB12oYFQhTeSMNkt/87Tvz2offM9iOyv31c6oPj3UyY8L+Q5v2iJcGMfXSlN+jMxPmyKMTnXegLFrwyqmDXutkxu1FAqwFwUYKkfn9O8ze3WxYgGL994XrBIjHtAaktwJJS5ImTeMv3ehffGLSfPndL+azb26Z9Zu/mCvf/DxwnEOVx77k105tH0t+j/HO77Nv1zbzyE6CA1QfuMftIY+JDSUJAeIxbaaoqoHV53CZxt7gtXb6Q+8jJlN5A8BgOKg+ULLL/QKEmVgBeIOZLaD6QLlW+gVIm3bxn7qxOBcEVB8oUfueAFmdnaICoQoBSvPqh9/TCAHozYptm5Um8JfWdLDCF3wnUYK7MoIACRR7DMEVmka+8AljHzEECDOxeOIDCqXzPthzLRiXqUCoQoBK6CGGmVfhViD3rDhjS5OwvHn0AXNwzzgNgVqwZUlY0i1MNqtAqEICc+oTZr6gHlrUSniEW30QIBHQmhC6slA1Bs7jDRAG0gOjPmgWF6La79yPTOIIz+VhAmSZdgrPS8s3mAmDyqpeFrMGaXlggNhVhhxxGxg9Db7GSmBU4NWPbtAI4Vnrt1vJZgc+MA4SIA1qMh6CMun7RXdpkPpmwmYB8gHtFeoF/kNnkSFQtO6EDQbOA/VBlgBZpr3Cpa4snhJRJI2v0XUVtL6ZsOnRdSwoDJtOLXzzyAOcd45CaMouA+fh2riAcFAFQhUSwRPjCxeuU4lgZBpbIzziqz4GBci7tFscIcIxuBjlO8TsvuC9mydAqEAiuQG8fPEGA+vI5WXWF0VdgYxt9atmltavJm/TtF8cnn98u3n9t/fREBgK4x5R0PqPXXkqEDlP+8VDVcgz711jCwoMxLhHNLbMgEEBwnqQyGhQ/Zn3rtOlhS2/I4x7ROODUQKECiRC6cCoznKgGsHG74bWezDuQQUyMEBWZ6e0JxbbmkRKZzmoGmH7E6RYhBqVFZsBuSsQWaId437i1PYUh9++RrdW5DRozpTvqAy89w8TIMu0I9LdfAmSOOkzZ9A8OgPv/WPD/C4zS+tfJG8N2hMpbYWiab8vPrHdPLKT7VBCdunrW+aF96/TEHFpr85OPVZEBSIMpuMu6trSE6kqEk391c8MuIdH4x0vXWSTxAgNdc8ftgJpJm+f0qYYRJszHtozYQ4+PJ68j3cqFfgbHtrqhhlXUTrQ7wCpXAFiQ4RuLGSm7q2ZnWPmYBIqU5PG7Ns93g2aXdsIF8crTDbbjNZQ3VcykbGkOUHbIgt1a335XXdK8EZHZyY6W6cQJIQHnDL0kEWW0U+m86IwJ5/cYf789P2EB+EB9wx9r8909dKNhVGpS+svrfs5yIrwgJuG7r7KWoFQhWAkLz4xaf7xO05BJDwQQvWRJ0AWaV/kqTrePPpAp9uKLivCA07LdI/PfDXPLK1rOm+TdsawVcf8/kmCg/CA+7T31YEsv2Aixx9yNnmdo62xlUMPj5uT/3Uf3VWEB/xxNusvyBMgmuJ12nBSIfpQd5UqDm1zAnexSBAbrJkcO45kfjy02/uytQnuoi6q+f07OoPkhAfhAe+cH7R1e1EViGikfo42h4JD4xzaVJFxDvdpV11ty054oM89PbPcVzxrQggOgsMv2vBS4QFskGntRxEViGjA5TRtT3DAfTrLhXNcsMW9PJdRAmQxeZ00DKZHIR0c1/5VBIc/mGmFAdbMCOv7RroTzCytazrvHJ9BuDQg/vyvt5uDe8ZpDM8wWI5hCoHV2anjdVQgaelDgARGazfUTUW14S/GO5DhHp7byHeHpAq5mLy1+Bz8Dw1VGwoNjqj1l6oNjXe8v/oTjYFBlpPq4+lRfoOJAv4SZwkQ/6iy0ImBRx6d6LwTGv7rHD+7fIOjhVFJ9VFIBWKrEKb0ekDbi+hkwO47YxohOX35x+RFlxWGlnvqbtEViCwY9sdyLiz27hrvdE3ts+8Ij6oNVR3MskKOe/bIigoQ9sfaQnoueL9jXfNSF9Q+GwqqKtLQeOTBMbqjIqGBclUezLJCRoVtR1XYFJuZpfVTprsuBH1u9jr7WwPUqUtf9w+TK990//2+3f27mOh6gqqNhf/9vtAHEsRVfazOTp1yLUBUfXxBFbI5VQivH76PCgG5MdaBAqqPx/JsnNhPYXcy+xda5PPZnJ4Yn3nvOt0OyEwV6+G3rxEeGNViUeFRaAViq5CGrUIwgKoQHfHa260FbKRBci0IZF0HCqLqo+1kgNgQYXuTDNStpXM0GNtAL1Wob3x+k4oDRVcfx4v8DcsIEKqQHLQKXJsVMj4CZlfBh+qjlAChCiFIkI+2W1dwsJIcPlQfZQYIVQhBAoIDAVcfpQWIDREtLDzB50aQgOBArQpb91FlgLAupECarfXi3kkG2z2XDo4rPAgOVKDQdR+VBYgNEaUeq9MLlJ7VocoE/lBYpMHB4DhCqD6qCBCqkJJoexSFiM4mp3vLXVq/8da/brKOA8FVH6UHiA2ROcNOvaXSWpI/6OhZqhKnqg2FBt1UqNHxJDwWy/wDKjmvlPNCqqtKNFbCGebVU7eUAkNrONhaHQ4o5LyPQaraR0Pzjy/ymZZ/E1Mfu17q1uqESVKVcBZIuaFx4T8/0UUF56qPKv6Qsar+azg7vT5pmBx8eJy9t0akLimFxaWvbhEacNXIZ527GCANw+LC2nEWenZpYHz89U90T8EHpSwarDVAbIiwuNDB6kRBouqEQOnS1unaev9SEhgc2gTPnEnCY76qP6zqAGFaryeB0jlLffd48IPxqiiuXL3VeafCgOdKn7Zba4DYEJkzTOv1SidMdnWrE1/PXdfYxZfXfukcGayQ+PLaz1QXCE3p03ZrDxAbIgyoB0BhMrV9LAmY5H3yzjnudVQtmhH12dVu9ZAGg7qgev8ZCFhlA+e96pqSoz66T/nM/ZbemDebjaQqZWbnnWeUg3tG/7p9llQQ6zd/uefvAERuvo4/dKyu/1r2yQKAQpS639VW6uzIPpO82nz2AJBb295La1FbgNiZAsf5/AEgt+NVzrpyqQJRiCzXmZ4A4LEz9h5aGxfmYi4YurIAIIu2vXfWqvYAoSsLADKrtevKpQqEriwAGF7tXVdOBYhFVxYAbK1tHOi6ci5A6MoCgIGc6LpysQJJu7IW+I4AwD0WXOm6So252EozS+va5qTJ9wUAOlaS8Djg2l/K1S1VnzPdrYkBIHZr9p7oHCcDxJ6mxXgIAHTHPdoESLYQOZ+8LfLdARCxRXsvdJLrpwJpi+IVvkMAIrRiatqmfVhjrrfgzNK6BtN1ABXH4AKIhcY9nk6qD6cfoJ0/l9Q2IOMhAGJy3PXw8CJAbIioD5CtTgDE4IzL4x69xnxqVc5SBxC4Ws42D7oC6aG50G2+YwAC1DaOrvcIIkDsHjAsMgQQms69zaV9rkKsQNJB9Xm+bwACMu/DoLn3AWJDZNGw6SKAMCzYe5p3xnxu9Zml9XPJ2xzfPwCe0kpzb5cpjPne+uzcC8BTTu6wm8W2AD4ETXljuxMAXoWHvXd5bSyET4LtTgB4xIttSqIJEEIEAOFBgIwaIi0bIgDgoqddO5Z2FNtC+mTsB8PGiwBcdDyk8AiuAumpROaSt3N8XwE4FB6Lof1HbQvxk7IfFJUIABfMhxgewVYgPZUICw0B1MnrhYJRBwghAoDwIEAIEQCEBwFCiAAgPAgQQgQAogyP6AKEEAFAeBAghAgAwqNm22L8pO0HzamGAIpwPMbwiLYC6alEVIWwYh3AKOGxGOt//Fjsnz4hAoDwIEBGCZFW8vaOYSt4AINpS/bnQtsYkQAZLUQ4TwTAMOERzHkeo9pGE3TZLwTH4wLYzArhQQUyqBKZtpVIk9YAsCE81mgKAmSYIGGtCABZjHWa7iB0YW3CfmEWaAkgaguEBxXIKJWIqpDThsF1ICbqqpqPfZouAVJMiGg8RNN8G7QGELy26U7TZbCcACksRKZtiLRoDSBYyzY8GCwnQEoJEnVnnaAlgOCcSYKDPfIIkNJD5Jjpbn/CuAjgP1Ub2pbkPE1BgFQVIk0bIqwXAfy1YsOD8Y4cmMabU8/K9UVaA/CSrl1WllOB1F6N0KUF+IMuKwLEuRBpmO4sLbq0AHep2tAsqzZNQYC4GCSnkreTtATgHK0qP0UzECCuh0jLdLu0GrQGUDtVG8c5v6N4DKKXwH5RDySvM7QGUCtdgwcIDyoQqhEAVB1UIFQjAKg6qEBANQJQdVCBoLJqhHNGgGItUHVQgcRUjWi9iDZmbNEaQG4KjHlWkxMgsQbJnOHAKiArDnxyAF1YNbMXwGOGQXZgWLpWHiM8qEBwdzXSMN1B9hatAdxj2XQHyds0BQGCzYOkZZitBaTahtlVBAgyB8mcYXwE8WKcgwDBiCGi8NARuq8QJIgoOM6a7hGznE1OgKCgIDlpOI8dYVsgOAgQlBckDRskc7QGArJoututt2kKAgQECUBwECDwIEhesUHCGAl8sGaD4yzBQYDAjSBhsB0+BAeD4wQIHA+SY6bbvdWgReAAVRkaHD9PcBAg8CdMjtmKpEVroAbLpttNdZ6mIEDgb5A0bZAoUOjeQplUYZy3wcEOuQQIAgoShcecDZMGLYICtU13fGORbioCBOGHSSt5m6UqQQHVxhL7VBEgiLcqScdKmrQIhrBiqw0GxQkQ4HaYNEy3i0uVSYMWQY+2Kg3T7aJq0xwgQLBVmDTNnS4uwiTe0Ei7qBgQBwECwgSEBggQ1BcmLRsojJmEQUGh7qnzdE+BAEFVYZIOwD9lmM3lk3T21AeGgXAQIHCsOnnWsPrdNcvJ61290zUFAgQ+BErLBokqlCYVSqUVxoqtMJZZowECBCFVKPttoDCGUowV+7pMhQECBLFVKU1CJVdYrFBdgAAB7q1UGj3B0ogwWBQS7TQo9DOVBQgQIH+wNHrCZNqGy7T9dw3P/nPa9rVmQ2KtJyjafNogQIBqA2a6p1LpDZWHNlQw0yVUNCs2BHoD4t8bwqLzv2PaLELx/wIMADc5YGq9kh76AAAAAElFTkSuQmCC
Adelstein, S.A., & Lee, U.J. (2016). The role of mindfulness in urinary urgency symptoms. //Current Bladder Dysfunction Reports, 11//(1), 38-44. https://doi.org/10.1007/s11884-016-0348-5
Baker, J., Costa, D., Guarino, J.M., & Nygaard, I. (2014). Comparison of mindfulness-based stress reduction versus yoga on urinary urge incontinence: A randomized pilot study. with 6-month and 1-year follow-up visits. //Female Pelvic Medicine and Reconstructive Surgery, 20//(3), 141-146. https://doi.org/10.1097/SPV.0000000000000061
Baker, J., Costa, D., & Nygaard, I. (2012). Mindfulness-based stress reduction for treatment of urinary urge incontinence: A pilot study. //Female Pelvic Medicine and Reconstructive Surgery, 18//(1), 46-49. https://doi.org/10.1097/SPV.0b013e31824107a6
Guillot, C.R., Pang, R.D., & Leventhal, A.M. (2014). Anxiety sensitivity and negative urgency: A pathway to negative reinforcement-related smoking expectancies. Journal of Addiction Medicine, 8(3), 189-194. https://doi.org/10.1097/ADM.0000000000000017
Robinson, J.M., Ladd, B.O., & Anderson, K.G. (2014). When you see it, let it be: Urgency, mindfulness and adolescent substance use. //Addictive Behaviors, 39//(6), 1038-1041. https://doi.org/10.1016/j.addbeh.2014.02.011
Christie, A.M., Atkins, P.W.B., & Donald, J.N. (2017). The meaning and doing of mindfulness: The role of values in the link between mindfulness and well-being. //Mindfulness, 8//(2), 368-378. https://doi.org/10.1007/s12671-016-0606-9
Flaxman, P.E., & Bond, F.W. (2010). Worksite stress management training: Moderated effects and clinical significance. //Journal of Occupational Health Psychology, 15//(4), 347-358. https://doi.org/10.1037/a0020522
Vilardaga, R., Luoma, J.B., Hayes, S.C., Pistorello, J., Levin, M.E., Hildebrandt, M.J., ... & Bond, F. (2011). Burnout among the addiction counseling workforce: The differential roles of mindfulness and values-based processes and work-site factors. //Journal of Substance Abuse Treatment, 40//(4), 323-335. https://doi.org/10.1016/j.jsat.2010.11.015
Basharpoor, S., Shafiei, M., & Daneshvar, S. (2015). The comparison of experimental avoidance, mindfulness and rumination in trauma-exposed individuals with and without posttraumatic stress disorder (PTSD) in an Iranian sample. //Archives of Psychiatric Nursing, 29//(5), 279-283. https://doi.org/10.1016/j.apnu.2015.05.004
Beck, D., Holt, L.C., Burkard, J., Andrews, T., Liu, L., Heppner, P., ... & Bormann, J.E. (2017). Efficacy of the mantram repetition program for insomnia in veterans with posttraumatic stress disorder a naturalistic study. //Advances in Nursing Science, 40//(2), E1-E12. https://doi.org/10.1097/ANS.0000000000000144
Bergen-Cico, D., Possemato, K., & Pigeon, W. (2014). Reductions in cortisol associated with primary care brief mindfulness program for veterans with PTSD. //Medical Care, 52//(12), S25-S31. https://doi.org/10.1097/MLR.0000000000000224
Boden, M.T., Bernstein, A., Walser, R.D., Bui, L., Alvarez, J., & Bonn-Miller, M.O. (2012). Changes in facets of mindfulness and posttraumatic stress disorder treatment outcome. //Psychiatry Research, 200//(42769), 609-613. https://doi.org/10.1016/j.psychres.2012.07.011
Bormann, J.E., Liu, L., Thorp, S.R., & Lang, A.J. (2012). Spiritual wellbeing mediates PTSD change in veterans with military-related PTSD. //International Journal of Behavioral Medicine, 19//(4), 496-502. https://doi.org/10.1007/s12529-011-9186-1
Bormann, J.E., Oman, D., Walter, K.H., & Johnson, B.D. (2014). Mindful attention increases and mediates psychological outcomes following mantram repetition practice in veterans with posttraumatic stress disorder. //Medical Care, 52//(12), S13-S18. https://doi.org/10.1097/MLR.0000000000000200
Bormann, J.E., Thorp, S.R., Wetherell, J.L., Golshan, S., & Lang, A.J. (2013). Meditation-based mantram intervention for veterans with posttraumatic stress disorder: A randomized trial. //Psychological Trauma: Theory, Research, Practice and Policy, 5//(3), 259-267. https://doi.org/10.1037/a0027522
Bormann, J.E., Walter, K.H., Leary, S., & Glaser, D. (2017). An internet-delivered mantram repetition program for spiritual well-being and mindfulness for health care workers. //Spirituality in Clinical Practice, 4//(1), 64-73. https://doi.org/10.1037/scp0000118
Boughner, E., Thornley, E., Kharlas, D., & Frewen, P. (2016). Mindfulness-related traits partially mediate the association between lifetime and childhood trauma exposure and PTSD and dissociative symptoms in a community sample assessed online. //Mindfulness, 7//(3), 672-679. https://doi.org/10.1007/s12671-016-0502-3
Bremner, J.D., Mishra, S., Campanella, C., Shah, M., Kasher, N., Evans, S., ... & Carmody, J. (2017). A pilot study of the effects of mindfulness-based stress reduction on post-traumatic stress disorder symptoms and brain response to traumatic reminders of combat in operation enduring freedom/operation Iraqi freedom combat veterans with post-traumatic stress disorder. //Frontiers in Psychiatry, 8//, 157. https://doi.org/10.3389/fpsyt.2017.00157
Bussing, A., Walach, H., Kohls, N., Zimmermann, F., & Trousselard, M. (2013). Conscious presence and self control as a measure of situational awareness in soldiers - a validation study. //International Journal of Mental Health Systems, 7//. https://doi.org/10.1186/1752-4458-7-1
Buttner, M.M., Bormann, J.E., Weingart, K., Andrews, T., Ferguson, M., & Afari, N. (2016). Multi-site evaluation of a complementary, spiritually-based intervention for veterans: The mantram repetition program. //Complementary Therapies in Clinical Practice, 22//, 74-79. https://doi.org/10.1016/j.ctcp.2015.12.008
Call, D., Pitcock, J., & Pyne, J. (2015). Longitudinal evaluation of the relationship between mindfulness, general distress, anxiety, and PTSD in a recently deployed national guard sample. //Mindfulness, 6//(6),1303–1312. https://doi.org/10.1007/s12671-015-0400-0
Carlson, K.J., Silva, S.G., Langley, J., & Johnson, C. (2013). Mindful-veteran: The implementation of a brief stress reduction course. //Complementary Therapies in Clinical Practice, 19//(2), 89-96. https://doi.org/10.1016/j.ctcp.2012.12.003
Cloitre, M., Courtois, C.A., Charuvastra, A., Carapezza, R., Stolbach, B.C., & Green, B.L. (2011). Treatment of complex PTSD: Results of the ISTSS expert clinician survey on best practices. //Journal of Traumatic Stress, 24//(6), 615-627. https://doi.org/10.1002/jts.20697
Colgan, D.D., Christopher, M., Michael, P., & Wahbeh, H. (2016). The body scan and mindful breathing among veterans with PTSD: Type of intervention moderates the relationship between changes in mindfulness and post-treatment depression. //Mindfulness, 7//(2), 372-383. https://doi.org/10.1007/s12671-015-0453-0
Dahm, K.A., Meyer, E.C., Neff, K.D., Kimbrel, N.A., Gulliver, S.B., & Morissette, S.B. (2015). Mindfulness, self-compassion, posttraumatic stress disorder symptoms, and functional disability in us Iraq and Afghanistan war veterans. //Journal of Traumatic Stress, 28//(5), 460-NA. https://doi.org/10.1002/jts.22045
Felleman, B.I., Stewart, D.G., Simpson, T.L., Heppner, P.S., & Kearney, D.J. (2016). Predictors of depression and PTSD Treatment response among veterans participating in mindfulness-based stress reduction. //Mindfulness, 7//(4), 886-895. https://doi.org/10.1007/s12671-016-0527-7
Gallegos, A.M., Cross, W., & Pigeon, W.R. (2015). Mindfulness-based stress reduction for veterans exposed to military sexual trauma: Rationale and implementation considerations. //Military Medicine, 180//(6), 684-689. https://doi.org/10.7205/MILMED-D-14-00448
Heffner, K.L., Crean, H.F., & Kemp, J.E. (2016). Meditation programs for veterans with posttraumatic stress disorder: Aggregate findings from a multi-site evaluation. //Psychological Trauma: Theory, Research, Practice and Policy, 8//(3), 365-374. https://doi.org/10.1037/tra0000106
Hoffart, A., Oktedalen, T., & Langkaas, T.F. (2015). Self-compassion influences PTSD symptoms in the process of change in trauma-focused cognitive-behavioral therapies: A study of within-person processes. //Frontiers in Psychology, 6//, 1273. https://doi.org/10.3389/fpsg.2015.01273
Hull, A., Holliday, S.B., Eickhoff, C., Rose-Boyce, M., Sullivan, P., & Reinhard, M. (2015). The Integrative Health and Wellness Program: Development and use of a complementary and alternative medicine clinic for veterans. //Alternative Therapies in Health and Medicine, 21//(6), 12-21. https://www.ncbi.nlm.nih.gov/pubmed/26567446
Kahn, J.R., Collinge, W., & Soltysik, R. (2016). Post-9/11 veterans and their partners improve mental health outcomes with a self-directed mobile and web-based wellness training program: A randomized controlled trial. //Journal of Medical Internet Research, 18//(9). https://doi.org/10.2196/jmir.5800
Kearney, D.J., Malte, C.A., McManus, C., Martinez, M.E., Felleman, B., & Simpson, T.L. (2013). Loving-kindness meditation for posttraumatic stress disorder: A pilot study. //Journal of Traumatic Stress, 26//(4), 426-434. https://doi.org/10.1002/jts.21832
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2012). Association of participation in a mindfulness program with measures of PTSD, depression and quality of life in a veteran sample. //Journal of Clinical Psychology, 68//(1), 101-116. https://doi.org/10.1002/jclp.20853
Kearney, D.J., McDermott, K., Malte, C., Martinez, M., & Simpson, T.L. (2013). Effects of participation in a mindfulness program for veterans with posttraumatic stress disorder: A randomized controlled pilot study. //Journal of Clinical Psychology, 69//(1), 14-27. https://doi.org/10.1002/jclp.21911
Kearney, D.J., Simpson, T.L., Malte, C.A., Felleman, B., Martinez, M.E., & Hunt, S.C. (2016). Mindfulness-based stress reduction in addition to usual care is associated with improvements in pain, fatigue, and cognitive failures among veterans with Gulf War illness. //American Journal of Medicine, 129//(2), 204-214. https://doi.org/10.1016/j.amjmed.2015.09.015
Kelly, M.M., Sido, H., Forsyth, J.P., Ziedonis, D.M., Kalman, D., & Cooney, J.L. (2015). Acceptance and commitment therapy smoking cessation treatment for veterans with posttraumatic stress disorder: A pilot study. //Journal of Dual Diagnosis, 11//(1), 50-55. https://doi.org/10.1080/15504263.2014.992201
Kim, S.H., Schneider, S.M., Bevans, M., Kravitz, L., Mermier, C., Qualls, C., ... & Burge, M.R. (2013). PTSD symptom reduction with mindfulness-based stretching and deep breathing exercise: Randomized controlled clinical trial of efficacy. //Journal of Clinical Endocrinology & Metabolism, 98//(7), 2984-2992. https://doi.org/10.1210/jc.2012-3742
King, A.P., Block, S.R., Sripada, R.K., Rauch, S., Giardino, N., Favorite, T., ... & Liberzon, I. (2016). Altered default mode network (DMN) resting state functional connectivity following a mindfulness-based exposure therapy for posttraumatic stress disorder (PTSD) in combat veterans of Afghanistan and Iraq. //Depression and Anxiety, 33//(4), 289-299. https://doi.org/10.1002/da.22481
King, A.P., Block, S.R., Sripada, R.K., Rauchs, S.A.M., Porter, K.E., Favorite, T.K., ... & Liberzon, I. (2016).A pilot study of mindfulness-based exposure therapy in OEF/OIF combat veterans with PTSD: Altered medial frontal cortex and amygdala responses in social–emotional processing. //Frontiers in Psychiatry, 7//, 154. https://doi.org/10.3389/fpsyt.2016.00154
King, A.P., Erickson, T.M., Giardino, N.D., Favorite, T., Rauch, S.A.M., Robinson, E., ... & Liberzon, I. (2013). A pilot study of group mindfulness-based cognitive therapy (MBCT) for combat veterans with posttraumatic stress disorder (PTSD). //Depression and Anxiety, 30//(7), 638-645. https://doi.org/10.1002/da.22104
Kline, A., Chesin, M., Latorre, M., Miller, R., St Hill, L., Shcherbakov, A., ... & Interian, A. (2016). Rationale and study design of a trial of mindfulness-based cognitive therapy for preventing suicidal behavior (MBCT-S) in military veterans. //Contemporary Clinical Trials, 50//, 245-252. https://doi.org/10.1016/j.cct.2016.08.015
Lewis, G.F., Hourani, L., Tueller, S., Kizakevich, P., Bryant, S., Weimer, B., ... & Strange, L. (2015). Relaxation training assisted by heart rate variability biofeedback: Implication for a military predeployment stress inoculation protocol. //Psychophysiology, 52//(9). https://doi.org/10.1111/psyp.12455
Luedtke, B., Davis, L., & Monson, C. (2015). Mindfulness-based cognitive-behavioral conjoint therapy for posttraumatic stress disorder: A case study. //Journal of Contemporary Psychotherapy, 45//(4), 227-234. https://doi.org/10.1007/s10879-015-9298-z
Martinez, M.E., Kearney, D.J., Simpson, T., Felleman, B.I., Bernardi, N., & Sayre, G. (2015). Challenges to enrollment and participation in mindfulness-based stress reduction among veterans: A qualitative study. //Journal of Alternative and Complementary Medicine, 21//(7), 409-421. https://doi.org/10.1089/acm.2014.0324
Nakamura, Y., Lipschitz, D.L., Donaldson, G.W., Kida, Y., Williams, S.L., Landward, R., ... & Tuteja, A.K. (2017). Investigating clinical benefits of a novel sleep-focused mind-body program on gulf war illness symptoms: A randomized controlled trial. //Psychosomatic Medicine, 79//(6), 706-718. https://doi.org/10.1097/PSY.0000000000000469
Nakamura, Y., Lipschitz, D.L., Landward, R., Kuhn, R., & West, G. (2011). Two sessions of sleep-focused mind-body bridging improve self-reported symptoms of sleep and PTSD in veterans: A pilot randomized controlled trial. //Journal of Psychosomatic Research, 70//(4), 335-345. https://doi.org/10.1016/j.jpsychores.2010.09.007
Niles, B.L., Mori, D.L., Polizzi, C.P., Kaiser, A.P., Ledoux, A.M., & Wang, C.C. (2016). Feasibility, qualitative findings and satisfaction of a brief Tai Chi mind-body programme for veterans with post-traumatic stress symptoms. //BMJ Open, 6//(11). https://doi.org/10.1136/bmjopen-2016-012464
Niles, B.L., Vujanovic, A.A., Silberbogen, A.K., Seligowski, A.V., & Potter, C.M. (2013). Changes in mindfulness following a mindfulness telehealth intervention. //Mindfulness, 4//(4), 301-310. https://doi.org/10.1007/s12671-012-0130-5
Northcut, T.B., & Kienow, A. (2014). The trauma trifecta of military sexual trauma: A case study illustrating the integration of mind and body in clinical work with survivors of MST. //Clinical Social Work Journal, 42//(3), 247-259. https://doi.org/10.1007/s10615-014-0479-0
Oman, D., & Bormann, J.E. (2015). Mantram repetition fosters self-efficacy in veterans for managing PTSD: A randomized trial. //Psychology of Religion and Spirituality, 7//(1), 34-45. https://doi.org/10.1037/a0037994
Owens, G.P., Walter, K.H., Chard, K.M., & Davis, P.A. (2012). Changes in mindfulness skills and treatment response among veterans in residential PTSD treatment. //Psychological Trauma: Theory, Research, Practice and Policy, 4//(2), 221-228. https://doi.org/10.1037/a0024251
Pigeon, W., Allen, C., Possemato, K., Bergen-Cico, D., & Treatman, S. (2015). Feasibility and acceptability of a brief mindfulness program for veterans in primary care with posttraumatic stress disorder. //Mindfulness, 6//(5),986–995. https://doi.org/10.1007/s12671-014-0340-0
Polusny, M.A., Erbes, C.R., Thuras, P., Moran, A., Lamberty, G.J., Collins, R.C., ... & Lim, K.O. (2015). Mindfulness-based stress reduction for posttraumatic stress disorder among veterans a randomized clinical trial. //JAMA: Journal of the American Medical Association, 314//(5), 456-465. https://doi.org/10.1001/jama.2015.8361
Price, C.J., McBride, B., Hyerle, L., & Kivlahan, D.R. (2007). Mindful awareness in body-oriented therapy for female veterans with post-traumatic stress disorder taking prescription analgesics for chronic pain: A feasibility study. //Alternative Therapies in Health and Medicine, 13//(6), 32-40. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037268/
Rapgay, L., Ross, J.L., Petersen, O., Izquierdo, C., Harms, M., Hawa, S., ... & Couper, G. (2014). A proposed protocol integrating classical mindfulness with prolonged exposure therapy to treat posttraumatic stress disorder. //Mindfulness, 5//(6), 742-755. https://doi.org/10.1007/s12671-013-0231-9
Reber, C.A.S., Boden, M.T., Mitragotri, N., Alvarez, J., Gross, J.J., & Bonn-Miller, M.O. (2013). A prospective investigation of mindfulness skills and changes in emotion regulation among military veterans in posttraumatic stress disorder treatment. //Mindfulness, 4//(4), 311-317. https://doi.org/10.1007/s12671-012-0131-4
Rhodes, A., Spinazzola, J., & van der Kolk, B. (2016). Yoga for adult women with chronic PTSD: A long-term follow-up study. //Journal of Alternative and Complementary Medicine, 22//(3), 189-196. https://doi.org/10.1089/acm.2014.0407
Rothschild, S., Kaplan, G., Golan, T., & Barak, Y. (2017). Mindfulness meditation in the Israel defense forces: Effect on cognition and satisfaction with life-a randomized controlled trial. //European Journal of Integrative Medicine, 10//, 71-74. https://doi.org/10.1016/j.eujim.2017.01.010
Seppala, E.M., Nitschke, J.B., Tudorascu, D.L., Hayes, A., Goldstein, M.R., Nguyen, D.T.H., ... & Davidson, R.J. (2014). Breathing-based meditation decreases posttraumatic stress disorder symptoms in US military veterans: A randomized controlled longitudinal study. //Journal of Traumatic Stress, 27//(4), 397-405. https://doi.org/10.1002/jts.21936
Shipherd, J.C., Salters-Pedneault, K., & Fordiani, J. (2016). Evaluating postdeployment training for coping with intrusive cognition: A comparison of training approaches. //Journal of Consulting and Clinical Psychology, 84//(11), 960-971. https://doi.org/10.1037/ccp0000136
Smith, K., Firth, K., Smeeding, S., Wolever, R., Kaufman, J., Delgado, R., ... & Xenalcis, L. (2016). Guidelines for creating, implementing, and evaluating mind-body programs in a military healthcare setting. //Explore: The Journal of Science and Healing, 12//(1), 18-33. https://doi.org/10.1016/j.explore.2015.10.002
Stanton, M.V., Matsuura, J., Fairchild, J.K., Lohnberg, J.A., & Bayley, P.J. (2016). Mindfulness as a weight loss treatment for veterans. //Frontiers in Nutrition, 3//, 30. https://doi.org/10.3389/fnut.2016.00030
Stephenson, K.R., Simpson, T.L., Martinez, M.E., & Kearney, D.J. (2017). Changes in mindfulness and posttraumatic stress disorder symptoms among veterans enrolled in mindfulness-based stress reduction. //Journal of Clinical Psychology, 73//(3), 201-217. https://doi.org/10.1002/jclp.22323
Swick, D., Honzel, N., & Turken, U. (2015). Intact error monitoring in combat veterans with post-traumatic stress disorder. //Psychiatry Research-neuroimaging, 234//(2), 227-238. https://doi.org/10.1016/j.pscychresns.2015.09.016
Trousselard, M., Dutheil, F., Ferrer, M.H., Babouraj, N., & Canini, F. (2015). Tactics to optimize the potential and cardiobiofeedback in stress management: The French experience. //Medical Acupuncture, 27//(5), 367-375. https://doi.org/10.1089/acu.2014.1052
van der Kolk, B.A., Stone, L., West, J., Rhodes, A., Emerson, D., Suvak, M., ... & Spinazzola, J. (2014). Yoga as an adjunctive treatment for posttraumatic stress disorder: A randomized controlled trial. //Journal of Clinical Psychiatry, 75//(6), E559-E565. https://doi.org/10.4088/JCP.13m08561
Vujanovic, A.A., Niles, B., Pietrefesa, A., Schmertz, S.K., & Potter, C.M. (2011). Mindfulness in the treatment of posttraumatic stress disorder among military veterans. //Professional Psychology-research and Practice, 42//(1), 24-31. https://doi.org/10.1037/a0022272
Wahbeh, H., Goodrich, E., Goy, E., & Oken, B.S. (2016). Mechanistic pathways of mindfulness meditation in combat veterans with posttraumatic stress disorder. //Journal of Clinical Psychology, 72//(4), 365-383. https://doi.org/10.1002/jclp.22255
Walser, R.D., Garvert, D.W., Karlin, B.E., Trockel, M., Ryu, D.M., & Taylor, C.B. (2015). Effectiveness of acceptance and commitment therapy in treating depression and suicidal ideation in veterans. //Behaviour Research and Therapy, 74//, 25-31. https://doi.org/10.1016/j.brat.2015.08.012
Walser, R.D., Karlin, B.E., Trockel, M., Mazina, B., & Taylor, C.B. (2013). Training in and implementation of acceptance and commitment therapy for depression in the veterans health administration: Therapist and patient outcomes. //Behaviour Research and Therapy, 51//(9), 555-563. https://doi.org/10.1016/j.brat.2013.05.009
Zimmermann, F. (2015). Mindfulness-based practices as a resource for health and well-being. //Medical Acupuncture, 27//(5), 349-359. https://doi.org/10.1089/acu.2014.1080
<iframe width="560" height="315" src="https://www.youtube.com/embed/KtCUr83XgyE" frameborder="0" allowfullscreen></iframe>
Crews, D.A., Stolz-Newton, M., & Grant, N.S. (2016). The use of yoga to build self-compassion as a healing method for survivors of sexual violence. //Journal of Religion and Spirituality in Social Work, 35//(3), 139-156. https://doi.org/10.1080/15426432.2015.1067583
Crowder, R. (2016). Mindfulness based feminist therapy: The intermingling edges of self-compassion and social justice. //Journal of Religion and Spirituality in Social Work, 35//(1-2), 24-40. https://doi.org/10.1080/15426432.2015.1080605
Dutton, M.A., James, L., Langhorne, A., & Kelley, M. (2015). Coordinated public health initiatives to address violence against women and adolescents. //Journal of Women’s Health, 24//(1), 80-85. https://doi.org/10.1089/jwh.2014.4884
Fruzzetti, A.E., & Levensky, E.R. (2000). Dialectical behavior therapy for domestic violence: Rationale and procedures. //Cognitive and Behavioral Practice, 7//(4), 435-447. https://doi.org/10.1016/S1077-7229(00)80055-3
Ghahari, S., Khademolreza, N., Poya, F.S., Ghasemnejad, S., Gheitarani, B., & Pirmoradi, M.R. (2017). Effectiveness of mindfulness techniques in decreasing anxiety and depression in women victims of spouse abuse. //Asian Journal of Pharmaceutical Research and Health Care, 9//(1), 28-33. https://doi.org/10.18311/ajprhc/2017/7644
Jaffe, A.E., Schreier, A., & DiLillo, D. (2017). Feasibility and initial evaluation of project peace: An intervention for college students at risk for dating violence. //Partner Abuse, 8//(3), 291-314. https://doi.org/10.1891/1946-6560.8.3.291
Kelly, A. (2015). Trauma-informed mindfulness-based stress reduction: A promising new model for working with survivors of interpersonal violence. //Smith College Studies in Social Work, 85//(2), 194-219. https://doi.org/10.1080/00377317.2015.1021191
Shorey, R.C., Seavey, A.E., Quinn, E., & Cornelius, T.L. (2014). Partner-specific anger management as a mediator of the relation between mindfulness and female perpetrated dating violence. //Psychology of Violence, 4//(1), 51-64. https://doi.org/10.1037/a0033658
Shorey, R.C., Zucosky, H., Brasfield, H., Febres, J., Cornelius, T.L., Sage, C., ... & Stuart, G.L. (2012). Dating violence prevention programming: Directions for future interventions. //Aggression and Violent Behavior, 17//(4), 289-296. https://doi.org/10.1016/j.avb.2012.03.001
Tasso, A., Whitmarsh, L., & Ordway, A. (2016). Intimate partner violence within military families: Intervention guidelines for relational aggressors. //Family Journal, 24//(2), 114-121. https://doi.org/10.1177/1066480716628622
Tollefson, D.R., & Phillips, I. (2015). A mind-body bridging treatment program for domestic violence offenders: Program overview and evaluation results. //Journal of Family Violence, 30//(6), 783-794. https://doi.org/10.1007/s10896-015-9715-9
Valdez, C.E., & Lilly, M.M. (2016). Self-compassion and trauma processing outcomes among victims of violence. //Mindfulness, 7//(2), 329-339. https://doi.org/10.1007/s12671-015-0442-3
Wongtongkam, N., Day, A., Ward, P.R., & Winefield, A.H. (2015). The influence of mindfulness meditation on angry emotions and violent behavior on Thai technical college students. //European Journal of Integrative Medicine, 7//(2), 124-130. https://doi.org/10.1016/j.eujim.2014.10.007
Braboszcz, C., Cahn, B.R., Levy, J., Fernandez, M., & Delorme, A. (2017). Increased gamma brainwave amplitude compared to control in three different meditation traditions. //PLOS ONE, 12//(1), e0170647. https://doi.org/10.1371/journal.pone.0170647
Cahn, B.R., & Polich, J. (2009). Meditation (Vipassana) and the P3a event-related brain potential. //International Journal of Psychophysiology, 72//(1), 51-60. https://doi.org/10.1016/j.ijpsycho.2008.03.013
Carvalho, A. (2017). Ecologies of the self in practice - meditation, affect and ecosophy. //Geografiska Annaler Series B-human Geography, 99//(2), 207-222. https://doi.org/10.1080/04353684.2017.1306970
Delgado-Pastor, L.C., Perakakis, P., Subramanya, P., Telles, S., & Vila, J. (2013). Mindfulness (Vipassana) meditation: Effects on P3b event-related potential and heart rate variability. //International Journal of Psychophysiology, 90//(2), 207-214. https://doi.org/10.1016/j.ijpsycho.2013.07.006
Emavardhana, T., & Tori, C.D. (1997). Changes in self-concept, ego defense mechanisms, and religiosity following seven-day Vipassana meditation retreats. //Journal for the Scientific Study of Religion, 36//(2), 194-206. https://doi.org/10.2307/1387552
Pattanashetty, R., Sathiamma, S., Talakkad, S., Nityananda, P., Trichur, R., & Kutty, B.M. (2010). Practitioners of Vipassana meditation exhibit enhanced slow wave sleep and rem sleep states across different age groups. //Sleep and Biological Rhythms, 8//(1), 34-41. https://doi.org/10.1111/j.1479-8425.2009.00416.x
Szekeres, R.A., & Wertheim, E.H. (2015). Evaluation of Vipassana meditation course effects on subjective stress, well-being, self-kindness and mindfulness in a community sample: Post-course and 6-month outcomes. //Stress and Health, 31//(5), 373-381. https://doi.org/10.1002/smi.2562
van der Riet, P. (2011). Vipassana meditation: One woman's narrative. //Collegian, 18//(1), 36-42. https://doi.org/10.1016/j.colegn.2010.10.002
Zeng, X.L., Li, M.D., Zhang, B., & Liu, X.P. (2015). Revision of the philadelphia mindfulness scale for measuring awareness and equanimity in Goenka’s Vipassana meditation with Chinese Buddhists. //Journal of Religion & Health, 54//(2), 623-637. https://doi.org/10.1007/s10943-014-9870-y
Zeng, X.L., Oei, T.P.S., & Liu, X.P. (2014). Monitoring emotion through body sensation: A review of awareness in Goenka’s Vipassana. //Journal of Religion & Health, 53//(6), 1693-1705. https://doi.org/10.1007/s10943-013-9754-6
Zeng, X.L., Oei, T.P.S., Ye, Y.Q., & Liu, X.P. (2015). A critical analysis of the concepts and measurement of awareness and equanimity in Goenka’s vipassana meditation. //Journal of Religion & Health, 54//(2), 399-412. https://doi.org/10.1007/s10943-013-9796-9
Gomez, J., Hoffman, H.G., Bistricky, S.L., Gonzalez, M., Rosenberg, L., Sampaio, M., ... & Linehan, M.M. (2017). The use of virtual reality facilitates Dialectical Behavior Therapy® “Observing Sounds and Visuals” mindfulness skills training exercises for a Latino patient with severe burns: A case study. //Frontiers in Psychology, 8//, 1611. https://doi.org/10.3389/fpsyg.2017.01611
von der Putten, A.M., Kramer, N.C., Gratch, J., & Kang, S.H. (2010). "It doesn't matter what you are!" Explaining social effects of agents and avatars. //Computers in Human Behavior, 26//(6), 1641-1650. https://doi.org/10.1016/j.chb.2010.06.012
Gregory, M. (2000). Care as a goal of democratic education. //Journal of Moral Education, 29//(4), 445-461. https://doi.org/10.1080/713679392
Kinghorn, W. (2015). Presence of mind: Thomistic prudence and contemporary mindfulness practices. //Journal of the society of Christian Ethics, 35//(1), 83-102. http://doi.org/10.1353/sce.2015.0009
Leffel, G.M., Oakes Mueller, R.A., Ham, S.A., Curlin, F.A., & Yoon, J.D. (2017). Project on the good physician: A proposal for a moral intuitionist model of virtuous caring. //Teaching and Learning in Medicine, 29//(1), 75-84. https://doi.org/10.1080/10401334.2016.1205497
Braboszcz, C., Cahn, B.R., Balakrishnan, B., Maturi, R.K., Grandchamp, R., & Delorme, A. (2013). Plasticity of visual attention in Isha yoga meditation practitioners before and after a 3-month retreat. //Frontiers in Psychology, 4//, 914. https://doi.org/10.3389/fpsyg.2013.00914
Garcia-Martin, E., Ruiz-de-Gopegui, E., Otin, S., Blasco, A., Larrosa, J.M., Polo, V., ... & Garcia-Campayo, J. (2016). Assessment of visual function and structural retinal changes in Zen meditators: Potential effect of mindfulness on visual ability. //Mindfulness, 7//(4), 979-987. https://doi.org/10.1007/s12671-016-0537-5
Langer, E., Djikic, M., Pirson, M., Madenci, A., & Donohue, R. (2010). Believing is seeing: Using mindlessness (mindfully) to improve visual acuity. //Psychological Science, 21//(5), 661-666. https://doi.org/10.1177/0956797610366543
Rozanski, C., Haythornthwaite, J.A., Dagnelie, G., & Bittner, A.K. (2014). Applying theories and interventions from behavioral medicine to understand and reduce visual field variability in patients with vision loss. //Medical Hypotheses, 83//(2), 190-195. https://doi.org/10.1016/j.mehy.2014.04.031
Brockman, R., Kiernan, M., & Murrell, E. (2015). Psychometric properties of two brief versions of the Voices Acceptance and Action Scale (VAAS): Implications for the second-wave and third-wave behavioural and cognitive approaches to auditory hallucinations. //Clinical Psychology & Psychotherapy, 22//(5), 450-459. https://doi.org/10.1002/cpp.1916
Buccheri, R.K., Trygstad, L.N., Buffum, M.D., Ju, D.S., & Dowling, G.A. (2017). Integrating anxiety reduction into an existing self-management of auditory hallucinations course. //Journal of Psychosocial Nursing and Mental Health Services, 55//(5), 29-39. https://doi.org/10.3928/02793695-20170420-04
Chadwick, P., Strauss, C., Jones, A.M., Kingdon, D., Ellett, L., Dannahy, L., ... & Hayward, M. (2016). Group mindfulness-based intervention for distressing voices: A pragmatic randomised controlled trial. //Schizophrenia Research, 175//(42738), 168-173. https://doi.org/10.1016/j.schres.2016.04.001
Chaix, J., Ma, E., Nguyen, A., Collado, M.A.O., Rexhaj, S., & Favrod, J. (2014). Safety-seeking behaviours and verbal auditory hallucinations in schizophrenia. //Psychiatry Research, 220//(42737), 158-162. https://doi.org/10.1016/j.psychres.2014.08.041
Dannahy, L., Hayward, M., Strauss, C., Turton, W., Harding, E., & Chadwick, P. (2011). Group person-based cognitive therapy for distressing voices: Pilot data from nine groups. //Journal of Behavior Therapy and Experimental Psychiatry, 42//(1), 111-116. https://doi.org/10.1016/j.jbtep.2010.07.006
Escudero-Perez, S., Leon-Palacios, M.G., Ubeda-Gomez, J., Barros-Albarran, M.D., Lopez-Jimenez, A.M., & Perona-Garcelan, S. (2016). Dissociation and mindfulness in patients with auditory verbal hallucinations. //Journal of Trauma & Dissociation, 17//(3), 294-306. https://doi.org/10.1080/15299732.2015.1085480
Gaudiano, B.A., & Herbert, J.D. (2006). Believability of hallucinations as a potential mediator of their frequency and associated distress in psychotic inpatients. //Behavioural and Cognitive Psychotherapy, 34//(4), 497-502. https://doi.org/10.1017/S1352465806003080
Hepworth, C.R., Ashcroft, K., & Kingdon, D. (2013). Auditory hallucinations: A comparison of beliefs about voices in individuals with schizophrenia and borderline personality disorder. //Clinical Psychology & Psychotherapy, 20//(3), 239-245. https://doi.org/10.1002/cpp.791
Howard, A., Forsyth, A., Spencer, H., Young, E.W., & Turkington, D. (2013). Do voice hearers naturally use focusing and metacognitive coping techniques?. //Psychosis: Psychological, Social and Integrative Approaches, 5//(2), 119-126. https://doi.org/10.1080/17522439.2012.668926
May, K., Strauss, C., Coyle, A., & Hayward, M. (2014). Person-based cognitive therapy groups for distressing voices: A thematic analysis of participant experiences of the therapy. //Psychosis: Psychological, Social and Integrative Approaches, 6//(1), 16-26. https://doi.org/10.1080/17522439.2012.708775
Morris, E.M.J., Garety, P., & Peters, E. (2014). Psychological flexibility and nonjudgemental acceptance in voice hearers: Relationships with omnipotence and distress. //Australian and New Zealand Journal of Psychiatry, 48//(12), 1150-1162. https://doi.org/10.1177/0004867414535671
Perez-Alvarez, M., Garcia-Montes, J.M., Perona-Garcelan, S., & Vallina-Fernandez, O. (2008). Changing relationship with voices: New therapeutic perspectives for treating hallucinations. //Clinical Psychology & Psychotherapy, 15//(2), 75-85. https://doi.org/10.1002/cpp.563
Perona-Garcelan, S., Carrascoso-Lopez, F., Garcia-Montes, J.M., Vallina-Fernandez, O., Perez-Alvarez, M., Ductor-Recuerda, M.J., ... & Gomez-Gomez, M.T. (2011). Depersonalization as a mediator in the relationship between self-focused attention and auditory hallucinations. //Journal of Trauma & Dissociation, 12//(5), 535-548. https://doi.org/10.1080/15299732.2011.602181
Perona-Garcelan, S., Garcia-Montes, J.M., Lopez-Jimenez, A.M., Rodriguez-Testal, J.F., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Perez-Alvarez, M. (2014). Relationship between self-focused attention and mindfulness in people with and without hallucination proneness. //Spanish Journal of Psychology, 17//. https://doi.org/10.1017/sjp.2014.23
Perona-Garcelan, S., Garcia-Montes, J.M., Rodriguez-Testal, J.F., Lopez-Jimenez, A.M., Ruiz-Veguilla, M., Ductor-Recuerda, M.J., ... & Benitez-Hernandez, M.D. (2014). Relationship between childhood trauma, mindfulness, and dissociation in subjects with and without hallucination proneness. //Journal of Trauma & Dissociation, 15//(1), 35-51. https://doi.org/10.1080/15299732.2013.821433
Perona-Garcelan, S., Rodriguez-Testal, J., Senin-Calderon, C., Ruiz-Veguilla, M., & Hayward, M. (2017). Mindfulness as a mediator between the relational style with voices and negative affect. //Mindfulness, 8//(2), 454-459. https://doi.org/10.1007/s12671-016-0617-6
Ratcliff, K., Farhall, J., & Shawyer, F. (2011). Auditory hallucinations: A review of assessment tools. //Clinical Psychology & Psychotherapy, 18//(6), 524-534. https://doi.org/10.1002/cpp.729
Shawyer, F., Ratcliff, K., Mackinnon, A., Farhall, J., Hayes, S.C., & Copolov, D. (2007). The voices acceptance and action scale (VAAS): Pilot data. //Journal of Clinical Psychology, 63//(6), 593-606. https://doi.org/10.1002/jclp.20366
Taylor, K.N., Harper, S., & Chadwick, P. (2009). Impact of mindfulness on cognition and affect in voice hearing: Evidence from two case studies. //Behavioural and Cognitive Psychotherapy, 37//(4), 397-402. https://doi.org/10.1017/S135246580999018X
Thomas, N., Hayward, M., Peters, E., van der Gaag, M., Bentall, R.P., Jenner, J., ... & McCarthy-Jones, S. (2014). Psychological therapies for auditory hallucinations (voices): Current status and key directions for future research. //Schizophrenia Bulletin, 40//, S202-S212. https://doi.org/10.1093/schbul/sbu037
Ubeda-Gomez, J., Leon-Palacios, M.G., Escudero-Perez, S., Barros-Albarran, M.D., Lopez-Jimenez, A.M., & Perona-Garcelan, S. (2015). Relationship between self-focused attention, mindfulness and distress in individuals with auditory verbal hallucinations. //Cognitive Neuropsychiatry, 20//(6), 482-488. https://doi.org/10.1080/13546805.2015.1089225
de Bloom, J., Sianoja, M., Korpela, K., Tuomisto, M., Lilja, A., Geurts, S., ... & Kinnunen, U. (2017). Effects of park walks and relaxation exercises during lunch breaks on recovery from job stress: Two randomized controlled trials. //Journal of Environmental Psychology, 51//, 14-30. https://doi.org/10.1016/j.jenvp.2017.03.006
Duvall, J. (2012). A comparison of engagement strategies for encouraging outdoor walking. //Journal of Physical Activity & Health, 9//(1), 62-70. https://doi.org/10.1123/jpah.9.1.62
Gainey, A., Himathongkam, T., Tanaka, H., & Suksom, D. (2016). Effects of Buddhist walking meditation on glycemic control and vascular function in patients with type 2 diabetes. //Complementary Therapies in Medicine, 26//, 92-97. https://doi.org/10.1016/j.ctim.2016.03.009
Gotink, R.A., Hermans, K.S.F.M., Geschwind, N., De Nooij, R., De Groot, W.T., & Speckens, A.E.M. (2016). Mindfulness and mood stimulate each other in an upward spiral: A mindful walking intervention using experience sampling. //Mindfulness, 7//(5), 1114-1122. https://doi.org/10.1007/s12671-016-0550-8
Jung, H.Y., Lee, H., & Park, J. (2015). Comparison of the effects of Korean mindfulness-based stress reduction, walking, and patient education in diabetes mellitus. //Nursing & Health Sciences, 17//(4), 516-525. https://doi.org/10.1111/nhs.12229
Michalak, J., Troje, N.F., & Heidenreich, T. (2011). The effects of mindfulness-based cognitive therapy on depressive gait patterns. //Journal of Cognitive and Behavioral Psychotherapies, 11//(1), 13-27.
Moffitt, R., & Mohr, P. (2015). The efficacy of a self-managed acceptance and commitment therapy intervention DVD for physical activity initiation. //British Journal of Health Psychology, 20//(1), 115-129. https://doi.org/10.1111/bjhp.12098
Bruggeman-Everts, F.Z., Wolvers, M.D.J., van de Schoot, R.V., Vollenbroek-Hutten, M.M.R., & Van der Lee, M.L. (2017). Effectiveness of two web-based interventions for chronic cancer-related fatigue compared to an active control condition: Results of the "Fitter na kanker" randomized controlled trial. //Journal of Medical Internet Research, 19//(10). https://doi.org/10.2196/jmir.7180
Dorsch, M.P., Farris, K.B., Bleske, B.E., & Koelling, T.M. (2015). A web application for self-monitoring improves symptoms in chronic systolic heart failure. //Telemedicine and E-health, 21//(4), 267-270. https://doi.org/10.1089/tmj.2014.0095
Mak, W.W.S., Chio, F.H.N., Chan, A.T.Y., Lui, W.W.S., & Wu, E.K.Y. (2017). The efficacy of internet-based mindfulness training and cognitive-behavioral training with telephone support in the enhancement of mental health among college students and young working adults: Randomized controlled trial. //Journal of Medical Internet Research, 19//(3). https://doi.org/10.2196/jmir.6737
Zha, X.J., Zhang, J.C., Yan, Y.L., & Zha, D.C. (2015). Sound information seeking in web 2.0 virtual communities: The moderating effect of mindfulness. //Behaviour & Information Technology, 34//(9), NA-935. https://doi.org/10.1080/0144929X.2015.1027876
Adams, C.E., Mcvay, M.A., Stewart, D.W., Vinci, C., Kinsaul, J., Benitez, L., ... & Copeland, A.L. (2014). Mindfulness ameliorates the relationship between weight concerns and smoking behavior in female smokers: A cross-sectional investigation. //Mindfulness, 5//(2), 179-185. https://doi.org/10.1007/s12671-012-0163-9
Camilleri, G.M., Mejean, C., Bellisle, F., Hercberg, S., & Peneau, S. (2015). Association between mindfulness and weight status in a general population from the nutrinet-sante study. //PLOS ONE, 10//(6), e01274. https://doi.org/10.1371/journal.pone.0127447
Cannon, S., Lawry, K., Brudell, M., Rees, R., Wenke, R., & Bisset, L. (2016). Appetite for change: A multidisciplinary team approach to behavioral modification for weight management in a community health group setting. //Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity, 21//(4), 661-668. https://doi.org/10.1007/s40519-016-0274-8
Chacko, S.A., Yeh, G.Y., Davis, R.B., & Wee, C.C. (2016). A mindfulness-based intervention to control weight after bariatric surgery: Preliminary results from a randomized controlled pilot trial. //Complementary Therapies in Medicine, 28//, 13-21. https://doi.org/10.1016/j.ctim.2016.07.001
Chung, S.Y., Zhu, S.J., Friedmann, E., Kelleher, C., Kozlovsky, A., Macfarlane, K.W., ... & Griffith, K.A. (2016). Weight loss with mindful eating in African American women following treatment for breast cancer: A longitudinal study. //Supportive Care in Cancer, 24//(4), 1875-1881. https://doi.org/10.1007/s00520-015-2984-2
Dalen, J., Smith, B.W., Shelley, B.M., Sloan, A.L., Leahigh, L., & Begay, D. (2010). Pilot study: Mindful Eating and Living (MEAL): Weight, eating behavior, and psychological outcomes associated with a mindfulness-based intervention for people with obesity. //Complementary Therapies in Medicine, 18//(6), 260-264. https://doi.org/10.1016/j.ctim.2010.09.008
Daly, P., Pace, T., Berg, J., Menon, U., & Szalacha, L.A. (2016). A mindful eating intervention: A theory-guided randomized anti-obesity feasibility study with adolescent Latino females. //Complementary Therapies in Medicine, 28//, 22-28. https://doi.org/10.1016/j.ctim.2016.07.006
Dunn, C., Whetstone, L.M., Kolasa, K.M., Jayaratne, K.S.U., Thomas, C., Aggarwal, S., ... & Rogers, A.B. (2013). Delivering a behavior-change weight management program to teachers and state employees in North Carolina. //American Journal of Health Promotion, 27//(6), 378-383. https://doi.org/10.4278/ajhp.120221-QUAN-101
Forman, E.M., Butryn, M.L., Hoffman, K.L., & Herbert, J.D. (2009). An open trial of an acceptance-based behavioral intervention for weight loss. //Cognitive and Behavioral Practice, 16//(2), 223-235.
Fuller, N.R., Sainsbury, A., Caterson, I.D., Enarsson, M., Denyer, G., Manns, C., ... & Markovic, T.P. (2017). Examining mindfulness as a predictor of weight loss – Findings from the DIABEGG study. //Obesity Research & Clinical Practice, 11//(1), 88-96. https://doi.org/10.1016/j.orcp.2016.03.004
Fulwiler, C., Brewer, J.A., Sinnott, S., & Loucks, E.B. (2015). Mindfulness-based interventions for weight loss and CVD risk management. //Current Cardiovascular Risk Reports, 9//(10). https://doi.org/10.1007/s12170-015-0474-1
Fulwiler, C., Siegel, J.A., Allison, J., Rosal, M.C., Brewer, J., & King, J.A. (2016). Keeping weight off: Study protocol of an rct to investigate brain changes associated with mindfulness-based stress reduction. //BMJ Open, 6//(11), e012573. https://doi.org/10.1136/bmjopen-2016-012573
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
Lauche, R., Sibbritt, D., Ostermann, T., Fuller, N.R., Adams, J., & Cramer, H. (2017). Associations between yoga/meditation use, body satisfaction, and weight management methods: Results of a national cross-sectional survey of 8009 Australian women. //Nutrition, 34//, 58-64. https://doi.org/10.1016/j.nut.2016.09.007
Lillis, J., Hayes, S.C., Bunting, K., & Masuda, A. (2009). Teaching acceptance and mindfulness to improve the lives of the obese: A preliminary test of a theoretical model. //Annals of Behavioral Medicine, 37//(1), 58-69. https://doi.org/10.1007/s12160-009-9083-x
Mantzios, M., & Egan, H.H. (2017). On the role of self-compassion and self-kindness in weight regulation and health behavior change. //Frontiers in Psychology, 8//, 229. https://doi.org/10.3389/fpsyg.2017.00229
Mantzios, M., & Giannou, K. (2014). Group vs. single mindfulness meditation: Exploring avoidance, impulsivity, and weight management in two separate mindfulness meditation settings. //Applied Psychology-health and Well Being, 6//(2), 173-191. https://doi.org/10.1111/aphw.12023
Mantzios, M., & Wilson, J.C. (2014). Making concrete construals mindful: A novel approach for developing mindfulness and self-compassion to assist weight loss. //Psychology & Health, 29//(4), 422-441. https://doi.org/10.1080/08870446.2013.863883
Mantzios, M., & Wilson, J.C. (2015). Exploring mindfulness and mindfulness with self-compassion-centered interventions to assist weight loss: Theoretical considerations and preliminary results of a randomized pilot study. //Mindfulness, 6//(4), 824-835. https://doi.org/10.1007/s12671-014-0325-z
Mantzios, M., Wilson, J.C., Linnell, M., & Morris, P. (2015). The role of negative cognition, intolerance of uncertainty, mindfulness, and self-compassion in weight regulation among male army recruits. //Mindfulness, 6//(3), 545-552. https://doi.org/10.1007/s12671-014-0286-2
Mason, A.E., Epel, E.S., Aschbacher, K., Lustig, R.H., Acree, M., Kristeller, J., ... & Daubenmier, J. (2016). Reduced reward-driven eating accounts for the impact of a mindfulness-based diet and exercise intervention on weight loss: Data from the shine randomized controlled trial. //Appetite, 100//, 86-93. https://doi.org/10.1016/j.appet.2016.02.009
Mason, A.E., Epel, E.S., Kristeller, J., Moran, P.J., Dallman, M., Lustig, R.H., ... & Daubenmier, J. (2016). Effects of a mindfulness-based intervention on mindful eating, sweets consumption, and fasting glucose levels in obese adults: Data from the shine randomized controlled trial. //Journal of Behavioral Medicine, 39//(2), 201-213. https://doi.org/10.1007/s10865-015-9692-8
Mason, A.E., Lustig, R.H., Brown, R.R., Acree, M., Bacchetti, P., Moran, P.J., ... & Epel, E.S. (2015). Acute responses to opioidergic blockade as a biomarker of hedonic eating among obese women enrolled in a mindfulness-based weight loss intervention trial. //Appetite, 91//, 311-320. https://doi.org/10.1016/j.appet.2015.04.062
Masuda, A., Hill, M.L., & Tone, E.B. (2012). The role of mindfulness and disordered eating cognitions in psychological distress among college females with elevated disordered eating. //Mindfulness, 3//(2), 132-138. https://doi.org/10.1007/s12671-012-0087-4
McKee, H.C., & Ntoumanis, N. (2014). Developing self-regulation for dietary temptations: Intervention effects on physical, self-regulatory and psychological outcomes. //Journal of Behavioral Medicine, 37//(6), 1075-1081. https://doi.org/10.1007/s10865-014-9557-6
Ouwens, M.A., Schiffer, A.A., Visser, L.I., Raeijmaekers, N.J.C., & Nyklicek, I. (2015). Mindfulness and eating behaviour styles in morbidly obese males and females. //Appetite, 87//, 62-67. https://doi.org/10.1016/j.appet.2014.11.030
Palmeira, L., Pinto-Gouveia, J., & Cunha, M. (2017). Exploring the efficacy of an acceptance, mindfulness & compassionate-based group intervention for women struggling with their weight (kg-free): A randomized controlled trial. //Appetite, 112//, 107-116. https://doi.org/10.1016/j.appet.2017.01.027
Rogers, J.M., Ferrari, M., Mosely, K., Lang, C.P., & Brennan, L. (2017). Mindfulness-based interventions for adults who are overweight or obese: A meta-analysis of physical and psychological health outcomes. //Obesity Reviews, 18//(1), 51-67. https://doi.org/10.1111/obr.12461
Tapper, K., Shaw, C., Ilsley, J., Hill, A.J., Bond, F.W., & Moore, L. (2009). Exploratory randomised controlled trial of a mindfulness-based weight loss intervention for women. //Appetite, 52//(2), 396-404. https://doi.org/10.1016/j.appet.2008.11.012
Thomas, M., Vieten, C., Adler, N., Ammondson, I., Coleman-Phox, K., Epel, E., ... & Laraia, B. (2014). Potential for a stress reduction intervention to promote healthy gestational weight gain: Focus groups with low-income pregnant women. //Women’s Health Issues, 24//(3), E305-E311. https://doi.org/10.1016/j.whi.2014.02.004
Wade, T., George, W.M., & Atkinson, M. (2009). A randomized controlled trial of brief interventions for body dissatisfaction. //Journal of Consulting and Clinical Psychology, 77//(5), 845-854. https://doi.org/10.1037/a0016879
Blom, R., & Lu, C.L. (2016). Contextualising Postmodernity in Daoist Symbolism: Toward a mindful education embracing eastern wisdom. Educational Philosophy and Theory, 48(12), 1266-1283. https://doi.org/10.1080/00131857.2016.1190266
Sharma, A., & Dewangan, R.L. (2017). Can wisdom be fostered: Time to test the model of wisdom. Cogent Psychology, 4(1). https://doi.org/10.1080/23311908.2017.1381456
Flaxman, P.E., & Bond, F.W. (2010). Worksite stress management training: Moderated effects and clinical significance. //Journal of Occupational Health Psychology, 15//(4), 347-358. https://doi.org/10.1037/a0020522
Jay, K., Brandt, M., Hansen, K., Sundstrup, E., Jakobsen, M.D., Schraefel, M., ... & Andersen, L.L. (2015). Effect of individually tailored biopsychosocial workplace interventions on chronic musculoskeletal pain and stress among laboratory technicians: Randomized controlled trial. //Pain Physician, 18//(5), 459-471. https://doi.org/10.1186/1471-2474-15-444
Jay, K., Brandt, M., Schraefel, M., Jakobsen, M.D., Sundstrup, E., Sjogaard, G., ... & Andersen, L.L. (2016). Neurocognitive performance and physical function do not change with physical-cognitive-mindfulness training in female laboratory technicians with chronic musculoskeletal pain: Randomized controlled trial. //Medicine, 95//(50), e5554. https://doi.org/10.1097/MD.0000000000005554
Jay, K., Brandt, M., Sundstrup, E., Schraefel, M.C., Jakobsen, M.D., Sjogaard, G., ... & Andersen, L.L. (2014). Effect of individually tailored biopsychosocial workplace interventions on chronic musculoskeletal pain, stress and work ability among laboratory technicians: Randomized controlled trial protocol. //BMC Musculoskeletal Disorders, 15//, 444. https://doi.org/10.1186/1471-2474-15-444
Lanham, H.J., Leykum, L.K., & McDaniel, R.R. (2012). Same organization, same electronic health records (EHRs) system, different use: Exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting. //Journal of the American Medical Informatics Association, 19//(3), 382-391. https://doi.org/10.1136/amiajnl-2011-000263
van Berkel, J., Boot, C.R.L., Proper, K.I., Bongers, P.M., & van der Beek, A.J. (2014). Effectiveness of a worksite mindfulness-based multi-component intervention on lifestyle behaviors. //International Journal of Behavioral Nutrition and Physical Activity, 11//, 9. https://doi.org/10.1186/1479-5868-11-9
Vilardaga, R., Luoma, J.B., Hayes, S.C., Pistorello, J., Levin, M.E., Hildebrandt, M.J., ... & Bond, F. (2011). Burnout among the addiction counseling workforce: The differential roles of mindfulness and values-based processes and work-site factors. //Journal of Substance Abuse Treatment, 40//(4), 323-335. https://doi.org/10.1016/j.jsat.2010.11.015
Arch, J.J., & Craske, M.G. (2006). Mechanisms of mindfulness: Emotion regulation following a focused breathing induction. //Behaviour Research and Therapy, 44//(12), 1849-1858. https://doi.org/10.1016/j.brat.2005.12.007
Course-Choi, J., Saville, H., & Derakshan, N. (2017). The effects of adaptive working memory training and mindfulness meditation training on processing efficiency and worry in high worriers. //Behaviour Research and Therapy, 89//, 1-13. https://doi.org/10.1016/j.brat.2016.11.002
Day, M.A., Smitherman, A., Ward, L.C., & Thorn, B.E. (2015). An investigation of the associations between measures of mindfulness and pain catastrophizing. //Clinical Journal of Pain, 31//(3), 222-228. https://doi.org/10.1097/AJP.0000000000000102
Delgado-Pastor, L.C., Ciria, L.F., Blanca, B., Mata, J.L., Vera, M.N., & Vila, J. (2015). Dissociation between the cognitive and interoceptive components of mindfulness in the treatment of chronic worry. //Journal of Behavior Therapy and Experimental Psychiatry, 48//, 192-199. https://doi.org/10.1016/j.jbtep.2015.04.001
Delgado, L.C., Guerra, P., Perakakis, P., Vera, M.N., del Paso, G.R., & Vila, J. (2010). Treating chronic worry: Psychological and physiological effects of a training programme based on mindfulness. //Behaviour Research and Therapy, 48//(9), 873-882. https://doi.org/10.1016/j.brat.2010.05.012
Eilenberg, T., Hoffmann, D., Jensen, J.S., & Frostholm, L. (2017). Intervening variables in group-based acceptance & commitment therapy for severe health anxiety. //Behaviour Research and Therapy, 92//, 24-31. https://doi.org/10.1016/j.brat.2017.01.009
Fisak, B., & Von Lehe, A.C. (2012). The relation between the five facets of mindfulness and worry in a non-clinical sample. //Mindfulness, 3//(1), 15-21. https://doi.org/10.1007/s12671-011-0075-0
Franco, C., Amutio, A., Manas, I., Gazquez, J.J., & Perez-Fuentes, M.D. (2017). Reducing anxiety, geriatric depression and worry in a sample of older adults through a mindfulness training program. //Terapia Psicologica, 35//(1), 71-79. http://dx.doi.org/10.4067/S0718-48082017000100007.
Lenze, E.J., Hickman, S., Hershey, T., Wendleton, L., Ly, K., Dixon, D., ... & Wetherell, J.L. (2014). Mindfulness-based stress reduction for older adults with worry symptoms and co-occurring cognitive dysfunction. //International Journal of Geriatric Psychiatry, 29//(10), 991-1000. https://doi.org/10.1002/gps.4086
Mantzios, M. (2014). Exploring the relationship between worry and impulsivity in military recruits: The role of mindfulness and self-compassion as potential mediators. //Stress and Health, 30//(5), 397-404. https://doi.org/10.1002/smi.2617
Nasser, J.D., & Przeworski, A. (2017). A comparison of two brief present moment awareness training paradigms in high worriers. //Mindfulness, 8//(3), 775-787. https://doi.org/10.1007/s12671-016-0656-z
Ruiz, F.J. (2014). The relationship between low levels of mindfulness skills and pathological worry: The mediating role of psychological inflexibility. //Anales de Psicologia, 30//(3), 887-897. https://doi.org/10.6018/analesps.30.3.150651
Ruths, F.A., de Zoysa, N., Frearson, S.J., Hutton, J., Williams, J.M.G., & Walsh, J. (2013). Mindfulness-based cognitive therapy for mental health professionals - a pilot study. //Mindfulness, 4//(4), 289-295. https://doi.org/10.1007/s12671-012-0127-0
Sugiura, T., & Sugiura, Y. (2015). Common factors of meditation, focusing, and cognitive behavioral therapy: Longitudinal relation of self-report measures to worry, depressive, and obsessive-compulsive symptoms among nonclinical students. //Mindfulness, 6//(3), 610-623. https://doi.org/10.1007/s12671-014-0296-0
Sugiura, T., Sugiura, Y., & Tanno, Y. (2013). Relationships among refraining from catastrophic thinking, worrying, and metacognitive beliefs. //Psychological Reports, 113//(1), 1-14. https://doi.org/10.2466/02.09.PR0.113x14z3
Sugiura, Y. (2004). Detached mindfulness and worry: A meta-cognitive analysis. //Personality and Individual Differences, 37//(1), 169-179. https://doi.org/10.1016/j.paid.2003.08.009
Verplanken, B. (2012). When bittersweet turns sour: Adverse effects of nostalgia on habitual worriers. //European Journal of Social Psychology, 42//(3), 285-289. https://doi.org/10.1002/ejsp.1852
Verplanken, B., & Fisher, N. (2014). Habitual worrying and benefits of mindfulness. //Mindfulness, 5//(5), 566-573. https://doi.org/10.1007/s12671-013-0211-0
Vlemincx, E., Vigo, D., Vansteenwegen, D., Van den Bergh, O., & Van Diest, I. (2013). Do not worry, be mindful: Effects of induced worry and mindfulness on respiratory variability in a nonanxious population. //International Journal of Psychophysiology, 87//(2), 147-151. https://doi.org/10.1016/j.ijpsycho.2012.12.002
Baum, E.S., & Rude, S.S. (2013). Acceptance-enhanced expressive writing prevents symptoms in participants with low initial depression. //Cognitive Therapy and Research, 37//(1), 35-42. https://doi.org/10.1007/s10608-012-9435-x
Hudd, S.S., Smart, R.A., & Delohery, A.W. (2011). My understanding has grown, my perspective has switched: Linking informal writing to learning goals. //Teaching Sociology, 39//(2), 179-189. https://doi.org/10.1177/0092055X11401563
Low, C.A., Stanton, A.L., & Bower, J.E. (2008). Effects of acceptance-oriented versus evaluative emotional processing on heart rate recovery and habituation. //Emotion, 8//(3), 419-424. https://doi.org/10.1037/1528-3542.8.3.419
McDonald, D., Boddy, J., O'Callaghan, K., & Chester, P. (2015). Ethical professional writing in social work and human services. //Ethics & Social Welfare, 9//(4), 359-374. https://doi.org/10.1080/17496535.2015.1009481
Peary, A. (2016). The role of mindfulness in Kairos. //Rhetoric Review, 35//(1), 22-34. https://doi.org/10.1080/07350198.2016.1107825
Poon, A., & Danoff-Burg, S. (2011). Mindfulness as a moderator in expressive writing. //Journal of Clinical Psychology, 67//(9), 881-895. https://doi.org/10.1002/jclp.20810
Przezdziecki, A., & Sherman, K.A. (2016). Modifying affective and cognitive responses regarding body image difficulties in breast cancer survivors using a self-compassion-based writing intervention. //Mindfulness, 7//(5), 1142-1155. https://doi.org/10.1007/s12671-016-0557-1
Schmidt, U., Bone, G., Hems, S., Lessem, J., & Treasure, J. (2002). Structured therapeutic writing tasks as an adjunct to treatment in eating disorders. //European Eating Disorders Review, 10//(5), 299-315. https://doi.org/10.1002/erv.465
Wong, C.C.Y., & Mak, W.W.S. (2016). Writing can heal: Effects of self-compassion writing among Hong Kong Chinese college students. //Asian American Journal of Psychology, 7//(1), 74-82. https://doi.org/10.1037/aap0000041
Afonso, R.F., Balardin, J.B., Lazar, S., Sato, J.R., Igarashi, N., Santaella, D.F., ... & Kozasa, E.H. (2017). Greater cortical thickness in elderly female yoga practitioners-a cross-sectional study. //Frontiers in Aging Neuroscience, 9//, 201. https://doi.org/10.3389/fnagi.2017.00201
Alexander, G.K., Rollins, K., Walker, D., Wong, L., & Pennings, J. (2015). Yoga for self-care and burnout prevention among nurses. //Workplace Health & Safety, 63//(10), 462-470. https://doi.org/10.1177/2165079915596102
Auty, K.M., Cope, A., & Liebling, A. (2017). A systematic review and meta-analysis of yoga and mindfulness meditation in prison: Effects on psychological well-being and behavioural functioning. //International Journal of Offender Therapy and Comparative Criminology, 61//(6), 689-710. https://doi.org/10.1177/0306624X15602514
Baker, J., Costa, D., Guarino, J.M., & Nygaard, I. (2014). Comparison of mindfulness-based stress reduction versus yoga on urinary urge incontinence: A randomized pilot study. With 6-month and 1-year follow-up visits. //Female Pelvic Medicine and Reconstructive Surgery, 20//(3), 141-146. https://doi.org/10.1097/SPV.0000000000000061
Bartlett, S.J., Moonaz, S.H., Mill, C., Bernatsky, S., & Bingham, C.O. (2013). Yoga in rheumatic diseases. //Current Rheumatology Reports, 15//, 387. https://doi.org/10.1007/s11926-013-0387-2
Beddoe, A.E., Lee, K.A., Weiss, S.J., Kennedy, H.P., & Yang, C.P.P. (2010). Effects of mindful yoga on sleep in pregnant women: A pilot study. //Biological Research for Nursing, 11//(4), 363-370. https://doi.org/10.1177/1099800409356320
Beddoe, A.E., Yang, C.P.P., Kennedy, H.P., Weiss, S.J., & Lee, K.A. (2009). The effects of mindfulness-based yoga during pregnancy on maternal psychological and physical distress. //Journal of Obstetric Gynecologic and Neonatal Nursing, 38//(3), 310-319. https://doi.org/10.1111/j.1552-6909.2009.01023.x
Berezowski, K.A., Gilham, C.M., & Robinson, D.B. (2017). A mindfulness curriculum: High school students' experiences of yoga in a nova scotia school. //Learning Landscapes, 10//(2), 45-58.
Bergen-Cico, D., Razza, R., & Timmins, A. (2015). Fostering self-regulation through curriculum infusion of mindful yoga: A pilot study of efficacy and feasibility. //Journal of Child and Family Studies, 24//(11), 3448–3461. https://doi.org/10.1007/s10826-015-0146-2
Bock, B.C., Morrow, K.M., Becker, B.M., Williams, D.M., Tremont, G., Gaskins, R.B., ... & Marcus, B.H. (2010). Yoga as a complementary treatment for smoking cessation: Rationale, study design and participant characteristics of the quitting-in-balance study. //BMC Complementary and Alternative Medicine, 10//, 14. https://doi.org/10.1186/1472-6882-10-14
Bock, B.C., Rosen, R.K., Fava, J.L., Gaskins, R.B., Jennings, E., Thind, H., ... & Marcus, B.H. (2014). Testing the efficacy of yoga as a complementary therapy for smoking cessation: Design and methods of the BreathEasy trial. //Contemporary Clinical Trials, 38//(2), 321-332. https://doi.org/10.1016/j.cct.2014.06.003
Bowden, D., Gaudry, C., An, S.C., & Gruzelier, J. (2012). A comparative randomised controlled trial of the effects of brain wave vibration training, Iyengar yoga, and mindfulness on mood, well-being, and salivary cortisol. //Evidence-based Complementary and Alternative Medicine, 2012//, 234713. https://doi.org/10.1155/2012/234713
Briegel-Jones, R.M.H., Knowles, Z., Eubank, M.R., Giannoulatos, K., & Elliot, D. (2013). A preliminary investigation into the effect of yoga practice on mindfulness and flow in elite youth swimmers. //Sport Psychologist, 27//(4), 349-359. https://doi.org/10.1123/tsp.27.4.349
Brisbon, N.M., & Lowery, G.A. (2011). Mindfulness and levels of stress: A comparison of beginner and advanced Hatha yoga practitioners. //Journal of Religion & Health, 50//(4), 931-941. https://doi.org/10.1007/s10943-009-9305-3
Brotto, L.A., Krychman, M., & Jacobson, P. (2008). Eastern approaches for enhancing women's sexuality: Mindfulness, acupuncture, and yoga (CME). //Journal of Sexual Medicine, 5//(12), 2741-2748. https://doi.org/10.1111/j.1743-6109.2008.01071.x
Brunner, D., Abramovitch, A., & Etherton, J. (2017). A yoga program for cognitive enhancement. //PLOS ONE, 12//(8), e0182366. https://doi.org/10.1371/journal.pone.0182366
Bussing, A., Edelhauser, F., Weisskircher, A., Fouladbakhsh, J.M., & Heusser, P. (2011). Inner correspondence and peacefulness with practices among participants in eurythmy therapy and yoga: A validation study. //Evidence-based Complementary and Alternative Medicine, 2011//, 329023. https://doi.org/10.1155/2011/329023
Butterfield, N., Schultz, T., Rasmussen, P., & Proeve, M. (2017). Yoga and mindfulness for anxiety and depression and the role of mental health professionals: A literature review. //Journal of Mental Health training education and practice, 12//(1), 44-54. https://doi.org/10.1108/JMHTEP-01-2016-0002
Butzer, B., Ahmed, K., & Khalsa, S.B.S. (2016). Yoga enhances positive psychological states in young adult musicians. //Applied Psychophysiology and Biofeedback, 41//(2), 191-202. https://doi.org/10.1007/s10484-015-9321-x
Butzer, B., LoRusso, A., Shin, S.H., & Khalsa, S.B.S. (2017). Evaluation of yoga for preventing adolescent substance use risk factors in a middle school setting: A preliminary group-randomized controlled trial. //Journal of Youth and Adolescence, 46//(3), 603-632. https://doi.org/10.1007/s10964-016-0513-3
Call, D., Miron, L., & Orcutt, H. (2014). Effectiveness of brief mindfulness techniques in reducing symptoms of anxiety and stress. //Mindfulness, 5//(6), 658-668. https://doi.org/10.1007/s12671-013-0218-6
Carson, J.W., Carson, K.M., Jones, K.D., Bennett, R.M., Wright, C.L., & Mist, S.D. (2010). A pilot randomized controlled trial of the yoga of awareness program in the management of fibromyalgia. //Pain, 151//(2), 530-539. https://doi.org/10.1016/j.pain.2010.08.020
Carson, J.W., Carson, K.M., Jones, K.D., Mist, S.D., & Bennett, R.M. (2012). Follow-up of yoga of awareness for fibromyalgia results at 3 months and replication in the wait-list group. //Clinical Journal of Pain, 28//(9), 804-813. https://doi.org/10.1097/AJP.0b013e31824549b5
Carson, J.W., Carson, K.M., Olsen, M.K., Sanders, L., & Porter, L.S. (2017). Mindful yoga for women with metastatic breast cancer: Design of a randomized controlled trial. //BMC Complementary and Alternative Medicine, 17//, 153. https://doi.org/10.1186/s12906-017-1672-9
Cohen, L., Warneke, C., Fouladi, R.T., Rodriguez, M.A., & Chaoul-Reich, A. (2004). Psychological adjustment and sleep quality in a randomized trial of the effects of a Tibetan yoga intervention in patients with lymphoma. //Cancer, 100//(10), 2253-2260. https://doi.org/10.1002/cncr.20236
Conboy, L.A., Wilson, A., & Braun, T. (2010). Moving beyond health to flourishing: The effects of yoga teacher training. //Thescientificworldjournal, 10//, 788-795. https://doi.org/10.1100/tsw.2010.87
Crews, D.A., Stolz-Newton, M., & Grant, N.S. (2016). The use of yoga to build self-compassion as a healing method for survivors of sexual violence. //Journal of Religion and Spirituality in Social Work, 35//(3), 139-156. https://doi.org/10.1080/15426432.2015.1067583
Curtis, K., Hitzig, S.L., Bechsgaard, G., Stoliker, C., Alton, C., Saunders, N., ... & Katz, J. (2017). Evaluation of a specialized yoga program for persons with a spinal cord injury: A pilot randomized controlled trial. //Journal of Pain Research, 10//, 999-1017. https://doi.org/10.2147/JPR.S130530
Curtis, K., Kuluski, K., Bechsgaard, G., Ridgway, J., & Katz, J. (2016). Evaluation of a specialized yoga program for persons admitted to a complex continuing care hospital: A pilot study. //Evidence-based Complementary and Alternative Medicine, 2016//, 6267879. https://doi.org/10.1155/2016/6267879
Daly, L.A., Haden, S.C., Hagins, M., Papouchis, N., & Ramirez, P.M. (2015). Yoga and emotion regulation in high school students: A randomized controlled trial. //Evidence-based Complementary and Alternative Medicine, 2015//, 794928. https://doi.org/10.1155/2015/794928
Danucalov, M.A.D., Kozasa, E.H., Afonso, R.F., Galduroz, J.C.F., & Leite, J.R. (2017). Yoga and compassion meditation program improve quality of life and self-compassion in family caregivers of Alzheimer's disease patients: A randomized controlled trial. //Geriatrics & Gerontology International, 17//(1), 85-91. https://doi.org/10.1111/ggi.12675
Dariotis, J.K., Cluxton-Keller, F., Mirabal-Beltran, R., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2016). The program affects me 'cause it gives away stress: Urban students' qualitative perspectives on stress and a school-based mindful yoga intervention. //Explore: The Journal of Science and Healing, 12//(6), 443-450. https://doi.org/10.1016/j.explore.2016.08.002
Dariotis, J.K., Mirabal-Beltran, R., Cluxton-Keller, F., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2017). A qualitative exploration of implementation factors in a school-based mindfulness and yoga program: Lessons learned from students and teachers. //Psychology in the Schools, 54//(1), 53-69. https://doi.org/10.1002/pits.21979
de Castro, J.M. (2015). Meditation has stronger relationships with mindfulness, kundalini, and mystical experiences than yoga or prayer. //Consciousness and Cognition, 35//, 115-127. https://doi.org/10.1016/j.concog.2015.04.022
de Manincor, M., Bensoussan, A., Smith, C.A., Barr, K., Schweickle, M., Donoghoe, L.L., ... & Fahey, P. (2016). Individualized yoga for reducing depression and anxiety, and improving well-being: A randomized controlled trial. //Depression and Anxiety, 33//(9), 816-828. https://doi.org/10.1002/da.22502
Dick, A.M., Niles, B.L., Street, A.E., DiMartino, D.M., & Mitchell, K.S. (2014). Examining mechanisms of change in a yoga intervention for women: The influence of mindfulness, psychological flexibility, and emotion regulation on PTSD symptoms. //Journal of Clinical Psychology, 70//(12), 1170-1182. https://doi.org/10.1002/jclp.22104
Donnelly, K.Z., Linnea, K., Grant, D.A., & Lichtenstein, J. (2017). The feasibility and impact of a yoga pilot programme on the quality-of-life of adults with acquired brain injury. //Brain Injury, 31//(2), 208-214. https://doi.org/10.1080/02699052.2016.1225988
Evans, S., Cousins, L., Tsao, J.C.I., Sternlieb, B., & Zeltzer, L.K. (2011). Protocol for a randomized controlled study of Iyengar yoga for youth with irritable bowel syndrome. //Trials, 12//, 15. https://doi.org/10.1186/1745-6215-12-15
Evans, S., Moieni, M., Lung, K., Tsao, J., Sternlieb, B., Taylor, M., ... & Zeltzer, L. (2013). Impact of Iyengar yoga on quality of life in young women with rheumatoid arthritis. //Clinical Journal of Pain, 29//(11), 988-997. https://doi.org/10.1097/AJP.0b013e31827da381
Falsafi, N. (2016). A randomized controlled trial of mindfulness versus yoga: Effects on depression and/or anxiety in college students. //Journal of the American Psychiatric Nurses Association, 22//(6), 483-497. https://doi.org/10.1177/1078390316663307
Fishbein, D., Miller, S., Herman-Stahl, M., Williams, J., Lavery, B., Markovitz, L., ... & Johnson, M. (2016). Behavioral and psychophysiological effects of a yoga intervention on high-risk adolescents: A randomized control trial. //Journal of Child and Family Studies, 25//(2), 518-529. https://doi.org/10.1007/s10826-015-0231-6
Froeliger, B., Garland, E.L., & McClernon, F.J. (2012). Yoga Meditation Practitioners Exhibit Greater Gray Matter Volume and Fewer Reported Cognitive Failures: Results of a Preliminary Voxel-Based Morphometric Analysis. //Evidence-based Complementary and Alternative Medicine, 2012//, 821307. https://doi.org/10.1155/2012/821307
Gaiswinkler, L., & Unterrainer, H.F. (2016). The relationship between yoga involvement, mindfulness and psychological well-being. //Complementary Therapies in Medicine, 26//, 123-127. https://doi.org/10.1016/j.ctim.2016.03.011
Gallegos, A.M., Hoerger, M., Talbot, N.L., Krasner, M.S., Knight, J.M., Moynihan, J.A., ... & Duberstein, P.R. (2013). Toward identifying the effects of the specific components of mindfulness-based stress reduction on biologic and emotional outcomes among older adults. //Journal of Alternative and Complementary Medicine, 19//(10), 787-792. https://doi.org/10.1089/acm.2012.0028
Gard, T., Brach, N., Holzel, B.K., Noggle, J.J., Conboy, L.A., & Lazar, S.W. (2012). Effects of a yoga-based intervention for young adults on quality of life and perceived stress: The potential mediating roles of mindfulness and self-compassion. //Journal of Positive Psychology, 7//(3), 165-175. https://doi.org/10.1080/17439760.2012.667144
Gard, T., Noggle, J.J., Park, C.L., Vago, D.R., & Wilson, A. (2014). Potential self-regulatory mechanisms of yoga for psychological health. //Frontiers in Human Neuroscience, 8//, 770. https://doi.org/10.3389/fnhum.2014.00770
Gard, T., Taquet, M., Dixit, R., Holzel, B.K., de Montjoye, Y.A., Brach, N., ... & Lazar, S.W. (2014). Fluid intelligence and brain functional organization in aging yoga and meditation practitioners. //Frontiers in Aging Neuroscience, 6//, 76. https://doi.org/10.3389/fnagi.2014.00076
Gard, T., Taquet, M., Dixit, R., Holzel, B.K., Dickerson, B.C., & Lazar, S.W. (2015). Greater widespread functional connectivity of the caudate in older adults who practice Kripalu yoga and Vipassana meditation than in controls. //Frontiers in Human Neuroscience, 9//, 137. https://doi.org/10.3389/fnhum.2015.00137
Glasser, L. (2017). Fostering well-being in education through yoga and mindfulness in the snow (snowga). //Learning Landscapes, 10//(2), 159-172.
Gould, L.F., Dariotis, J.K., Greenberg, M.T., & Mendelson, T. (2016). Assessing fidelity of implementation (foi) for school-based mindfulness and yoga interventions: A systematic review. //Mindfulness, 7//(1), 5-33. https://doi.org/10.1007/s12671-015-0395-6
Gregory, A. (2015). L yoga and mindfulness program: The effects on compassion fatigue and compassion satisfaction in social workers. //Journal of Religion and Spirituality in Social Work, 34//(4), 372-393. https://doi.org/10.1080/15426432.2015.1080604
Hagins, M., & Rundle, A. (2016). Yoga improves academic performance in urban high school students compared to physical education: A randomized controlled trial. //Mind Brain and Education, 10//(2), 105-116. https://doi.org/10.1111/mbe.12107
Harkess, K.N., Delfabbro, P., Mortimer, J., Hannaford, Z., & Cohen-Woods, S. (2017). Brief report on the psychophysiological effects of a yoga intervention for chronic stress preliminary findings. //Journal of Psychophysiology, 31//(1), 38-48. https://doi.org/10.1027/0269-8803/a000169
Hewett, Z.L., Ransdell, L.B., Gao, Y., Petlichkoff, L.M., & Lucas, S. (2011). An examination of the effectiveness of an 8-week Bikram yoga program on mindfulness, perceived stress, and physical fitness. //Journal of Exercise Science & Fitness, 9//(2), 87-92.
Hofmann, S.G., Curtiss, J., Khalsa, S.B.S., Hoge, E., Rosenfield, D., Bui, E., ... & Simon, N. (2015). Yoga for generalized anxiety disorder: Design of a randomized controlled clinical trial. //Contemporary Clinical Trials, 44//, 70-76. https://doi.org/10.1016/j.cct.2015.08.003
Howie-Esquivel, J., Lee, J., Collier, G., Mehling, W., & Fleischmann, K. (2010). Yoga in heart failure patients: A pilot study. //Journal of Cardiac Failure, 16//(9), 742-749. https://doi.org/10.1016/j.cardfai1.2010.04.011
Kahya, H.H., & Raspin, C.G. (2017). Yoga therapy for the mind eight-week course: Participants' experiences. //Explore: The Journal of Science and Healing, 13//(2), 116-123. https://doi.org/10.1016/j.explore.2016.12.006
Lauche, R., Sibbritt, D., Ostermann, T., Fuller, N.R., Adams, J., & Cramer, H. (2017). Associations between yoga/meditation use, body satisfaction, and weight management methods: Results of a national cross-sectional survey of 8009 Australian women. //Nutrition, 34//, 58-64. https://doi.org/10.1016/j.nut.2016.09.007
Luu, K., & Hall, P.A. (2017). Examining the acute effects of Hatha yoga and mindfulness meditation on executive function and mood. //Mindfulness, 8//(4), 873-880. https://doi.org/10.1007/s12671-016-0661-2
Mackenzie, M.J., Carlson, L.E., Ekkekakis, P., Paskevich, D.M., & Culos-Reed, S.N. (2013). Affect and mindfulness as predictors of change in mood disturbance, stress symptoms, and quality of life in a community-based yoga program for cancer survivors. //Evidence-based Complementary and Alternative Medicine, 2013//, 419496. https://doi.org/10.1155/2013/419496
Mathad, M.D., Pradhan, B., & Sasidharan, R.K. (2017). Effect of yoga on psychological functioning of nursing students: A randomized wait list control trial. //Journal of Clinical and Diagnostic Research, 11//(5), KC01-KC05. https://doi.org/10.7860/JCDR/2017/26517.9833
Medina, J., Hopkins, L., Powers, M., Baird, S.O., & Smits, J. (2015). The effects of a Hatha yoga intervention on facets of distress tolerance. //Cognitive Behaviour Therapy, 44//(4), 288-300. https://doi.org/10.1080/16506073.2015.1028433
Meissner, M., Cantell, M.H., Steiner, R., & Sanchez, X. (2016). Evaluating emotional well-being after a short-term traditional yoga practice approach in yoga practitioners with an existing western-type yoga practice. //Evidence-based Complementary and Alternative Medicine, 2016//, 7216982. https://doi.org/10.1155/2016/7216982
Miyata, H., Okanoya, K., & Kawai, N. (2015). Mindfulness and psychological status of Japanese yoga practitioners: A cross-sectional study. //Mindfulness, 6//(3), 560-571. https://doi.org/10.1007/s12671-014-0288-0
Noggle, J.J., Steiner, N.J., Minami, T., & Khalsa, S.B.S. (2012). Benefits of yoga for psychosocial well-being in a us high school curriculum: A preliminary randomized controlled trial. //Journal of Developmental and Behavioral Pediatrics, 33//(3), 193-201. https://doi.org/10.1097/DBP.0b013e31824afdc4
Oken, B.S., Zajdel, D., Kishiyama, S., Flegal, K., Dehen, C., Haas, M., ... & Leyva, J. (2006). Randomized, controlled, six-month trial of yoga in healthy seniors: Effects on cognition and quality of life. //Alternative Therapies in Health and Medicine, 12//(1), 40-47.
Quach, D., Gibler, R.C., & Mano, K.E.J. (2017). Does home practice compliance make a difference in the effectiveness of mindfulness interventions for adolescents?. //Mindfulness, 8//(2), 495-504. https://doi.org/10.1007/s12671-016-0624-7
Quach, D., Mano, K.E.J., & Alexander, K. (2016). A randomized controlled trial examining the effect of mindfulness meditation on working memory capacity in adolescents. //Journal of Adolescent Health, 58//(5), 489-496. https://doi.org/10.1016/j.jadohealth.2015.09.024
Rhodes, A., Spinazzola, J., & van der Kolk, B. (2016). Yoga for adult women with chronic PTSD: A long-term follow-up study. //Journal of Alternative and Complementary Medicine, 22//(3), 189-196. https://doi.org/10.1089/acm.2014.0407
Ross, A., Friedmann, E., Bevans, M., & Thomas, S. (2012). Frequency of yoga practice predicts health: Results of a national survey of yoga practitioners. //Evidence-based Complementary and Alternative Medicine, 2012//, 983258. https://doi.org/10.1155/2012/983258
Ross, A., Friedmann, E., Bevans, M., & Thomas, S. (2013). National survey of yoga practitioners: Mental and physical health benefits. //Complementary Therapies in Medicine, 21//(4), 313-323. https://doi.org/10.1016/j.ctim.2013.04.001
Salmon, P., Lush, E., Jablonski, M., & Sephton, S.E. (2009). Yoga and mindfulness: Clinical aspects of an ancient mind/body practice. //Cognitive and Behavioral Practice, 16//(1), 59-72. https://doi.org/10.1016/j.cbpra.2008.07.002
Sauer-Zavala, S.E., Walsh, E.C., Eisenlohr-Moul, T.A., & Lykins, E.L.B. (2013). Comparing mindfulness-based intervention strategies: Differential effects of sitting meditation, body scan, and mindful yoga. //Mindfulness, 4//(4), 383-388. https://doi.org/10.1007/s12671-012-0139-9
Schuver, K.J., & Lewis, B.A. (2016). Mindfulness-based yoga intervention for women with depression. //Complementary Therapies in Medicine, 26//, 85-91. https://doi.org/10.1016/j.ctim.2016.03.003
Shahtaheri, E., Hosseinian, S., Ebrahimi, M., Jalilabadi, Z., & Mirderikvand, F. (2016). The impact of stress reduction program based on mindfulness and conscious yoga on depression, perceived stress and quality of life in pregnant women. //Acta Medica Mediterranea, 32//, 2047-2050.
Shelov, D.V., Suchday, S., & Friedberg, J.P. (2009). A pilot study measuring the impact of yoga on the trait of mindfulness. //Behavioural and Cognitive Psychotherapy, 37//(5), 595-598. https://doi.org/10.1017/S1352465809990361
Sistig, B., Friedman, S.H., McKenna, B., & Consedine, N.S. (2015). Mindful yoga as an adjunct treatment for forensic inpatients: A preliminary evaluation. //Journal of Forensic Psychiatry & Psychology, 26//(6), 824-846. https://doi.org/10.1080/14789949.2015.1062996
Sistig, B., Lambrecht, I., & Friedman, S.H. (2015). Journey back into body and soul - An exploration of mindful yoga with psychosis. //Psychosis: Psychological, Social and Integrative Approaches, 7//(1), 25-36. https://doi.org/10.1080/17522439.2014.885556
Sohl, S.J., Wallston, K.A., Watkins, K., & Birdee, G.S. (2016). Yoga for risk reduction of metabolic syndrome: Patient-reported outcomes from a randomized controlled pilot study. //Evidence-based Complementary and Alternative Medicine, 2016//, 3094589. https://doi.org/10.1155/2016/3094589
Steiner, N.J., Sidhu, T.K., Pop, P.G., Frenette, E.C., & Perrin, E.C. (2013). Yoga in an urban school for children with emotional and behavioral disorders: A feasibility study. //Journal of Child and Family Studies, 22//(6), 815-826. https://doi.org/10.1007/s10826-012-9636-7
Strauss, R.J., & Northcut, T.B. (2014). Using yoga interventions to enhance clinical social work practices with young women with cancer. //Clinical Social Work Journal, 42//(3), 228-236. https://doi.org/10.1007/s10615-012-0430-1
Thomley, B.S., Ray, S.H., Cha, S.S., & Bauer, B.A. (2011). Effects of a brief, comprehensive, yoga-based program on quality of life and biometric measures in an employee population: A pilot study. //Explore: The Journal of Science and Healing, 7//(1), 27-29. https://doi.org/10.1016/j.explore.2010.10.004
Tihanyi, B.T., Boor, P., Emanuelsen, L., & Koteles, F. (2016). Mediators between yoga practice and psychological well-being mindfulness, body awareness and satisfaction with body image. //European Journal of Mental Health, 11//(1-2), 112-127. https://doi.org/10.5708/EJMH.11.2016.1-2.7
Tihanyi, B.T., Sagi, A., Csala, B., Tolnai, N., & Koteles, F. (2016). Body awareness, mindfulness and affect does the kind of physical activity make a difference?. //European Journal of Mental Health, 11//(1-2), 97-111. https://doi.org/10.5708/EJMH.11.2016.1-2.6
Toise, S.C.F., Sears, S.F., Schoenfeld, M.H., Blitzer, M.L., Marieb, M.A., Drury, J.H., ... & Donohue, T.J. (2014). Psychosocial and cardiac outcomes of yoga for ICD patients: A randomized clinical control trial. //Pace-pacing and Clinical Electrophysiology, 37//(1), 48-62. https://doi.org/10.1111/pace.12252
Tul, Y., Unruh, A., & Dick, B.D. (2011). Yoga for chronic pain management: A qualitative exploration. //Scandinavian Journal of Caring Sciences, 25//(3), 435-443. https://doi.org/10.1111/j.1471-6712.2010.00842.x
Uebelacker, L.A., Epstein-Lubow, G., Gaudiano, B.A., Tremont, G., Battle, C.L., & Miller, I.W. (2010). Hatha yoga for depression: Critical review of the evidence for efficacy, plausible mechanisms of action, and directions for future research. //Journal of Psychiatric Practice, 16//(1), 22-33. https://doi.org/10.1097/01.pra.0000367775.88388.96.
Uebelacker, L.A., Kraines, M., Broughton, M.K., Tremont, G., Gillette, L.T., Epstein-Lubow, G., ... & Miller, I.W. (2017). Perceptions of hatha yoga amongst persistently depressed individuals enrolled in a trial of yoga for depression. //Complementary Therapies in Medicine, 34//, 149-155. https://doi.org/10.1016/j.ctim.2017.06.008
Uebelacker, L.A., Tremont, G., Epstein-Lubow, G., Gaudiano, B.A., Gillette, T., Kalibatseva, Z., ... & Miller, I.W. (2010). Open trial of Vinyasa yoga for persistently depressed individuals: Evidence of feasibility and acceptability. //Behavior Modification, 34//(3), 247-264. https://doi.org/10.1177/0145445510368845
Ulanowski, E.A., Danzl, M., Schwartz, V., & Reed, C. (2017). A qualitative examination of physiotherapist led community-based yoga for individuals with Huntington's disease. //Complementary Therapies in Clinical Practice, 28//, 146-151. https://doi.org/10.1016/j.ctcp.2017.06.002
van der Kolk, B.A., Stone, L., West, J., Rhodes, A., Emerson, D., Suvak, M., ... & Spinazzola, J. (2014). Yoga as an adjunctive treatment for posttraumatic stress disorder: A randomized controlled trial. //Journal of Clinical Psychiatry, 75//(6), E559-E565. https://doi.org/10.4088/JCP.13m08561
Villemure, C., Ceko, M., Cotton, V.A., & Bushnell, M.C. (2014). Insular cortex mediates increased pain tolerance in yoga practitioners. //Cerebral Cortex, 24//(10), 2732-2740. https://doi.org/10.1093/cercor/bht124
Wang, D., & Feinstein, A. (2011). Managing pain in older adults the benefits of yoga postures, meditation and mindfulness. //Topics in Geriatric Rehabilitation, 27//(2), 104-109. https://doi.org/10.1097/TGR.0b013e31821bfffa
Wang, D.N., & Hagins, M. (2016). Perceived benefits of yoga among urban school students: A qualitative analysis. //Evidence-based Complementary and Alternative Medicine, 2016//, 8725654. https://doi.org/10.1155/2016/8725654
West, J., Liang, B., & Spinazzola, J. (2017). Trauma sensitive yoga as a complementary treatment for posttraumatic stress disorder: A qualitative descriptive analysis. //International Journal of Stress Management, 24//(2), 173-195. https://doi.org/10.1037/str0000040
Wolever, R.Q., Bobinet, K.J., McCabe, K., Mackenzie, E.R., Fekete, E., Kusnick, C.A., ... & Baime, M. (2012). Effective and viable mind-body stress reduction in the workplace: A randomized controlled trial. //Journal of Occupational Health Psychology, 17//(2), 246-258. https://doi.org/10.1037/a0027278
Yook, Y.S., Kang, S.J., & Park, I. (2017). Effects of physical activity intervention combining a new sport and mindfulness yoga on psychological characteristics in adolescents. //International Journal of Sport and Exercise Psychology, 15//(2), 109-117. https://doi.org/10.1080/1612197X.2015.1069878
Alhusen, J.L., Norris-Shortle, C., Cosgrove, K., & Marks, L. (2017). I'm opening my arms rather than pushing away: Perceived benefits of a mindfulness-based intervention among homeless women and young children. //Infant Mental Health Journal, 38//(3), 434-442. https://doi.org/10.1002/imhj.21641
Allen, J., Fok, C.C.T., Henry, D., & Skewes, M. (2012). //Umyuangcaryaraq// "Reflecting": Multidimensional assessment of reflective processes on the consequences of alcohol use among rural Yup'ik Alaska native youth. //American Journal of Drug and Alcohol Abuse, 38//(5), 468-475. https://doi.org/10.3109/00952990.2012.702169
Barnert, E.S., Himelstein, S., Herbert, S., Garcia-Romeu, A., & Chamberlain, L.J. (2014). Innovations in practice: Exploring an intensive meditation intervention for incarcerated youth. //Child and Adolescent Mental Health, 19//(1), 69-73. https://doi.org/10.1111/camh.12019
Bender, K., Begun, S., DePrince, A., Haffejee, B., Brown, S., Hathaway, J., ... & Schau, N. (2015). Mindfulness intervention with homeless youth. //Journal of the Society for Social Work and Research, 6//(4), 491-513. https://doi.org/10.1086/684107
Chambers, R., Gullone, E., Hassed, C., Knight, W., Garvin, T., & Allen, N. (2015). Mindful emotion regulation predicts recovery in depressed youth. //Mindfulness, 6//(3), 523-534. https://doi.org/10.1007/s12671-014-0284-4
Choudhury, S., & Moses, J.M. (2016). Mindful interventions: Youth, poverty, and the developing brain. //Theory & Psychology, 26//(5), 591-606. https://doi.org/10.1177/0959354316669025
Coatsworth, J.D., Duncan, L.G., Nix, R.L., Greenberg, M.T., Gayles, J.G., Bamberger, K.T., ... & Demi, M.A. (2015). Integrating mindfulness with parent training: Effects of the mindfulness-enhanced strengthening families program. //Developmental Psychology, 51//(1), 26-35. https://doi.org/10.1037/a0038212
Cotton, S., Luberto, C.M., Sears, R.W., Strawn, J.R., Stahl, L., Wasson, R.S., ... & Delbello, M.P. (2016). Mindfulness-based cognitive therapy for youth with anxiety disorders at risk for bipolar disorder: A pilot trial. //Early Intervention in Psychiatry, 10//(5), 426-434. https://doi.org/10.1111/eip.12216
Daigneault, I., Dion, J., Hebert, M., McDuff, P., & Collin-Vezina, D. (2013). Psychometric properties of the Child and Youth Resilience Measure (CYRM-28) among samples of French Canadian youth. //Child Abuse & Neglect, 37//(42769), 160-171. https://doi.org/10.1016/j.chiabu.2012.06.004
Dalen, J., Brody, J.L., Staples, J.K., & Sedillo, D. (2015). A conceptual framework for the expansion of behavioral interventions for youth obesity: A family-based mindful eating approach. //Childhood Obesity, 11//(5), 577-584. https://doi.org/10.1089/chi.2014.0150
Dariotis, J.K., Cluxton-Keller, F., Mirabal-Beltran, R., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2016). The program affects me 'cause it gives away stress: Urban students' qualitative perspectives on stress and a school-based mindful yoga intervention. //Explore: The Journal of Science and Healing, 12//(6), 443-450. https://doi.org/10.1016/j.explore.2016.08.002
Dariotis, J.K., Mirabal-Beltran, R., Cluxton-Keller, F., Gould, L.F., Greenberg, M.T., & Mendelson, T. (2016). A qualitative evaluation of student learning and skills use in a school-based mindfulness and yoga program. //Mindfulness, 7//(1), 76-89. https://doi.org/10.1007/s12671-015-0463-y
Eklund, K., O'Malley, M., & Meyer, L. (2017). Gauging mindfulness in children and youth: School-based applications. //Psychology in the Schools, 54//(1), 101-114. https://doi.org/10.1002/pits.21983
Felver, J.C., Tipsord, J.M., Morris, M.J., Racer, K.H., & Dishion, T.J. (2017). The effects of mindfulness-based intervention on children's attention regulation. //Journal of Attention Disorders, 21//(10), 872-881. https://doi.org/10.1177/1087054714548032
Goodwin, R., Lucio, J., Vega-Lopez, S., & Bruening, M. (2017). Exploring mindful eating and weight status among underserved youth and their parents living in public housing. //Mindfulness, 8//(4), 973-983. https://doi.org/10.1007/s12671-016-0674-x
Gould, L.F., Dariotis, J.K., Mendelson, T., & Greenberg, M.T. (2012). A school-based mindfulness intervention for urban youth: Exploring moderators of intervention effects. //Journal of Community Psychology, 40//(8), 968-982. https://doi.org/10.1002/jcop.21505
Grabbe, L., Nguy, S.T., & Higgins, M.K. (2012). Spirituality development for homeless youth: A mindfulness meditation feasibility pilot. //Journal of Child and Family Studies, 21//(6), 925-937. https://doi.org/10.1007/s10826-011-9552-2
Greenberg, M.T., & Harris, A.R. (2012). Nurturing mindfulness in children and youth: Current state of research. //Child Development perspectives, 6//(2), 161-166. https://doi.org/10.1111/j.1750-8606.2011.00215.x
Haydicky, J., Wiener, J., Badali, P., Milligan, K., & Ducharme, J.M. (2012). Evaluation of a mindfulness-based intervention for adolescents with learning disabilities and co-occurring ADHD and anxiety. //Mindfulness, 3//(2), 151-164. https://doi.org/10.1007/s12671-012-0089-2
Heifetz, M., & Dyson, A. (2017). Mindfulness-based group for teens with developmental disabilities and their parents: A pilot study. //Mindfulness, 8//(2), 444-453. https://doi.org/10.1007/s12671-016-0616-7
Hilt, L.M., & Pollak, S.D. (2012). Getting out of rumination: Comparison of three brief interventions in a sample of youth. //Journal of Abnormal Child Psychology, 40//(7), 1157-1165. https://doi.org/10.1007/s10802-012-9638-3
Himelstein, S., Hastings, A., Shapiro, S., & Heery, M. (2012). A qualitative investigation of the experience of a mindfulness-based intervention with incarcerated adolescents. //Child and Adolescent Mental Health, 17//(4), 231-237. https://doi.org/10.1111/j.1475-3588.2011.00647.x
Himelstein, S., Saul, S., & Garcia-Romeu, A. (2015). Does mindfulness meditation increase effectiveness of substance abuse treatment with incarcerated youth? a pilot randomized controlled trial. //Mindfulness, 6//(6), 1472-1480. https://doi.org/10.1007/s12671-015-0431-6
Jee, S.H., Couderc, J.P., Swanson, D., Gallegos, A., Hilliard, C., Blumkin, A., ... & Heinert, S. (2015). A pilot randomized trial teaching mindfulness-based stress reduction to traumatized youth in foster care. //Complementary Therapies in Clinical Practice, 21//(3), 201-209. https://doi.org/10.1016/j.ctcp.2015.06.007
Klingbeil, D.A., Renshaw, T.L., Willenbrink, J.B., Copek, R.A., Chan, K.T., Haddock, A., ... & Clifton, J. (2017). Mindfulness-based interventions with youth: A comprehensive meta-analysis of group-design studies. //Journal of School Psychology, 63//, 77-103. https://doi.org/10.1016/j.jsp.2017.03.006
Le, T.N., & Gobert, J.M. (2015). Translating and implementing a mindfulness-based youth suicide prevention intervention in a Native American community. //Journal of Child and Family Studies, 24//(1), 12-23. https://doi.org/10.1007/s10826-013-9809-z
Le, T.N., & Proulx, J. (2015). Feasibility of mindfulness-based intervention for incarcerated mixed-ethnic Native Hawaiian/Pacific Islander youth. //Asian American Journal of Psychology, 6//(2), 181-189. https://doi.org/10.1037/aap0000019
Le, T.N., & Trieu, D.T. (2016). Feasibility of a mindfulness-based intervention to address youth issues in Vietnam. //Health Promotion International, 31//(2), 470-479. https://doi.org/10.1093/heapro/dau101
Leonard, N.R., Jha, A.P., Casarjian, B., Goolsarran, M., Garcia, C., Cleland, C.M., ... & Massey, Z. (2013). Mindfulness training improves attentional task performance in incarcerated youth: A group randomized controlled intervention trial. //Frontiers in Psychology, 4//, 792. https://doi.org/10.3389/fpsyg.2013.00792
Marusak, H.A., Elrahal, F., Peters, C.A., Kundu, P., Lombardo, M.V., Calhoun, V.D., ... & Rabinak, C.A. (2018). Mindfulness and dynamic functional neural connectivity in children and adolescents. //Behavioural Brain Research, 336//, 211-218. https://doi.org/10.1016/j.bbr.2017.09.010
Mastropieri, B., Schussel, L., Forbes, D., & Miller, L. (2015). Inner resources for survival: Integrating interpersonal psychotherapy with spiritual visualization with homeless youth. //Journal of Religion & Health, 54//(3), 903-921. https://doi.org/10.1007/s10943-015-0044-3
Milligan, K., Badali, P., & Spiroiu, F. (2015). Using Integra Mindfulness Martial Arts to address self-regulation challenges in youth with learning disabilities: A qualitative exploration. //Journal of Child and Family Studies, 24//(3), 562-575. https://doi.org/10.1007/s10826-013-9868-1
Mueller, M.P. (2015). Alaskan salmon and Gen R: Hunting, fishing to cultivate ecological mindfulness. //Cultural Studies of Science Education, 10//(1), 109-119. https://doi.org/10.1007/s11422-014-9645-5
Muris, P., Meesters, C., Herings, A., Jansen, M., Vossen, C., & Kersten, P. (2017). Inflexible youngsters: Psychological and psychopathological correlates of the Avoidance and Fusion questionnaire for youths in nonclinical Dutch adolescents. //Mindfulness, 8//(5), 1381-1392. https://doi.org/10.1007/s12671-017-0714-1
Parent, J., Mckee, L.G., Rough, J.N., & Forehand, R. (2016). The association of parent mindfulness with parenting and youth psychopathology across three developmental stages. //Journal of Abnormal Child Psychology, 44//(1), 191-202. https://doi.org/10.1007/s10802-015-9978-x
Rodgers, R.F., Franko, D.L., Donovan, E., Cousineau, T., Yates, K., McGowan, K., ... & Lowy, A.S. (2017). Body image in emerging adults: The protective role of self-compassion. //Body Image, 22//, 148-155. https://doi.org/10.1016/j.bodyim.2017.07.003
Sibinga, E.M.S., Kerrigan, D., Stewart, M., Johnson, K., Magyari, T., & Ellen, J.M. (2011). Mindfulness-based stress reduction for urban youth. //Journal of Alternative and Complementary Medicine, 17//(3), 213-218. https://doi.org/10.1089/acm.2009.0605
Sibinga, E.M.S., Perry-Parrish, C., Chung, S.E., Johnson, S.B., Smith, M., & Ellen, J.M. (2013). School-based mindfulness instruction for urban male youth: A small randomized controlled trial. //Preventive Medicine, 57//(6), 799-801. https://doi.org/10.1016/j.ypmed.2013.08.027
Sibinga, E.M.S., Perry-Parrish, C., Thorpe, K., Mika, M., & Ellen, J.M. (2014). A small mixed-method RCT of mindfulness instruction for urban youth. //Explore: The Journal of Science and Healing, 10//(3), 180-186. https://doi.org/10.1016/j.explore.2014.02.006
Stein, L.A.R., Lebeau, R., Colby, S.M., Barnett, N.P., Golembeske, C., & Monti, P.M. (2011). Motivational interviewing for incarcerated adolescents: Effects of depressive symptoms on reducing alcohol and marijuana use after release. //Journal of Studies on Alcohol and Drugs, 72//(3), 497-506. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3084364/
Strawn, J.R., Cotton, S., Luberto, C.M., Patino, L.R., Stahl, L.A., Weber, W.A., ... & DelBello, M.P. (2016). Neural function before and after mindfulness-based cognitive therapy in anxious adolescents at risk for developing bipolar disorder. //Journal of Child and Adolescent Psychopharmacology, 26//(4), 372-379. https://doi.org/10.1089/cap.2015.0054
Townshend, K. (2016). Conceptualizing the key processes of mindful parenting and its application to youth mental health. //Australasian Psychiatry, 24//(6), 575-577. https://doi.org/10.1177/1039856216654392
Viafora, D.P., Mathiesen, S.G., & Unsworth, S.J. (2015). Teaching mindfulness to middle school students and homeless youth in school classrooms. //Journal of Child and Family Studies, 24//(5), 1179-1191. https://doi.org/10.1007/s10826-014-9926-3
Wilson, J.D., Vo, H., Matson, P., Adger, H., Barnett, G., & Fishman, M. (2017). Trait mindfulness and progression to injection use in youth with opioid addiction. //Substance Use & Misuse, 52//(11), 1486-1493. https://doi.org/10.1080/10826084.2017.1289225
Wisner, B.L., & Starzec, J.J. (2016). The process of personal transformation for adolescents practicing mindfulness skills in an alternative school setting. //Child and Adolescent Social Work Journal, 33//(3), 245-257. https://doi.org/10.1007/s10560-015-0418-0
Zack, S., Saekow, J., Kelly, M., & Radke, A. (2014). Mindfulness based interventions for youth. //Journal of Rational-emotive and Cognitive-behavior Therapy, 32//(1), 44-56. https://doi.org/10.1007/s10942-014-0179-2
Zoogman, S., Goldberg, S.B., Hoyt, W.T., & Miller, L. (2015). Mindfulness interventions with youth: A meta-analysis. //Mindfulness, 6//(2), 290-302. https://doi.org/10.1007/s12671-013-0260-4
<iframe width="560" height="315" src="https://www.youtube.com/embed/mzoMhKx0j8g" frameborder="0" gesture="media" allow="encrypted-media" allowfullscreen></iframe>
Brenner, M.J. (2009). Zen practice: A training method to enhance the skills of clinical social workers. //Social Work in health care, 48//(4), 462-470. https://doi.org/10.1080/00981380802589860
Grant, J.A., & Rainville, P. (2009). Pain sensitivity and analgesic effects of mindful states in Zen meditators: A cross-sectional study. //Psychosomatic Medicine, 71//(1), 106-114. https://doi.org/10.1097/PSY.0b013e31818f52ee
Jung, K. (2014). Liberating Zen: A Christian experience. //Journal of Korean Religions, 5//(1), 35-50. https://www.jstor.org/stable/23943333
Lomas, T., Etcoff, N., Van Gordon, W., & Shonin, E. (2017). Zen and the art of living mindfully: The health-enhancing potential of Zen aesthetics. //Journal of Religion & Health, 56//(5), 1720-1739. https://doi.org/10.1007/s10943-017-0446-5
Lu, C.F., Smith, L.N., & Gau, C.H. (2012). Exploring the Zen meditation experiences of patients with generalized anxiety disorder: A focus-group approach. //Journal of Nursing Research, 20//(1), 43-51. https://doi.org/10.1097/JNR.0b013e3182466e83
Shaku, F., Tsutsumi, M., Goto, H., & Saint Arnoult, D. (2014). Measuring the effects of Zen training on quality of life and mental health among japanese monk trainees: A cross-sectional study. //Journal of Alternative and Complementary Medicine, 20//(5), 406-410. https://doi.org/10.1089/acm.2013.0209
Strick, M., van Noorden, T.H.J., Rients, R.R., de Ruiter, J.R., & Dijksterhuis, A. (2012). Zen meditation and access to information in the unconscious. //Consciousness and Cognition, 21//(3), 1476-1481. https://doi.org/10.1016/j.concog.2012.02.010