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demonstration of the EDA</a></li><li id="mobile-menu-menu-link-contenta0bab3e7-59af-4938-ab95-ddba120cc896" class="sf-depth-2 sf-no-children"><a href="/index.php/guide-process" class="sf-depth-2">Getting the most out of the EDA</a></li><li id="mobile-menu-menu-link-content32f3d9e5-3f1c-475f-8d5c-c9576d804b3c" class="sf-depth-2 sf-no-children"><a href="/index.php/guide-diagram" class="sf-depth-2">What is the experiment diagram?</a></li><li id="mobile-menu-menu-link-contente7a8ba12-019f-4fc0-b557-5f976050d470" class="active-trail sf-depth-2 menuparent"><span class="sf-depth-2 menuparent nolink">Examples and Templates</span><ul><li id="mobile-menu-menu-link-contenteed43937-08c1-4e2f-875a-05bead708ff9" class="sf-depth-3 sf-no-children"><a href="/index.php/guide-example1" class="sf-depth-3">Example 1</a></li><li id="mobile-menu-menu-link-content53cf7a46-5605-45b0-b953-ea16c3651921" class="sf-depth-3 sf-no-children"><a href="/index.php/guide-example2" class="sf-depth-3">Example 2</a></li><li 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action="/search/node" method="get" id="search-block-form--2" accept-charset="UTF-8"> <div class="js-form-item form-item js-form-type-search form-item-keys js-form-item-keys form-no-label"> <label for="edit-keys--2" class="visually-hidden">Search</label> <input title="Enter the terms you wish to search for." data-drupal-selector="edit-keys" type="search" id="edit-keys--2" name="keys" value="" size="15" maxlength="128" class="form-search" placeholder="What are you looking for?"/> </div> <div data-drupal-selector="edit-actions" class="form-actions js-form-wrapper form-wrapper" id="edit-actions--2"><input data-drupal-selector="edit-submit" type="submit" id="edit-submit--2" value="Search" class="button js-form-submit form-submit" /> </div> </form> </div> </div> </div> </div> </div> <div id="content-wrapper"> <div id="header-separator"> </div> <div id="content"> <div class="container clearfix"> <div class="grid"> <div id="block-nc3rs-breadcrumbs" class="block block-system block-system-breadcrumb-block"> <div class="content"> <div class="breadcrumb"> <h2 class="visually-hidden">Breadcrumb</h2> </div> </div> </div> </div> </div> <div id="content-inside" class="container clearfix"> <div id="main" class="grid_8 narrow" tabindex="-1"> <div id="highlighted"> <div data-drupal-messages-fallback class="hidden"></div> </div>   <div id="block-nc3rs-page-title" class="block block-core block-page-title-block"> <div class="content"> <h1> <span>Example 4</span> </h1> </div> </div> <div id="block-nc3rs-system-main" class="block block-system block-system-main-block"> <div class="content"> <div data-history-node-id="51" about="/guide-example4"> <div class="content clearfix" > <div><h2>Effect of exercise on neuronal density</h2> <p><img alt data-entity-type data-entity-uuid 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AgZ/GxqWOtMXu+v8FKSK2hSe9XuRz0t0i/LgoIAAwAAAAAbCDAoSjZ2dsqRI4f1O8gkCLDsBAFmlyNk8PLig8854spGf3N6qeVB9LcuAgwAAAAAbCDAoChBgA0eCLDsBAFmlyNk8BKP/m5pfOrU47pnLKp6zLaOGwQYAAAAANhAgEFRggAbPBBg2QkCzC5HyOAlHmpOMNs6bmxzhrkgwAAAAAAgFRBgUJQgwAYPBFh2ggCzyxEyeFES64M33tdHxotqt63jxraeEl9vv/Rmv0+ERIABAAAAgA0EGBQlahJ8BNjggADLThBgdjlCshMlrvwETWpvq/5S66sJ9W39/UGAAQAAAIANBBgAZBQEWHaCALPLEZKdqDm/bKiJ8lVFl5Jb6r/qvY1EnwCpggADAAAAABsIMADIKAiw7AQBZpcjJDtRAmsgIMAAAAAAYKAgwAAgoyDAshMEmF2OkOwkaC6wRPns/U+t49qCAAMAAAAAGwgwAMgoCLDsBAFmlyNk8HP7yoP66AyMRKvAEGAAAAAAYAMBBgAZBQGWnSDA7HKEDH7U3F7qCY4uqhpMzfVltpmodrX82ufXdEu4rb+nP7pBgAEAAACADQQYFCUXLlyQzz79VL+DTIIAy04QYHY5QrITJa+U+FJPeDSf5mhKLoW61dFcrqq+VFui8ksFAQYAAAAANhBgUJRs7OyUI0cO63eQSRBg2QkCzC5HSG7F/3TIp049bu2XTBBgAAAAAGADAQZFCQJs8ECAZScIMLscIbkVVe1lsnPmFmu/ZIIAAwAAAAAbCDAoShBggwcCLDtBgNnlCMm9qEny1a2O6r+25ckGAQYAAAAANhBgUJQgwAYPBFh2ggCzyxFS+EGAAQAAAIANBBgUJQiwwQMBlp2kJMCu9kp3T59+Y9InPV09of9Pnr7eXrmqXydCX0+39FpWSHQcBBhBgAEAAACADQQYFCXqKZB9falczkOyIMCyk/QKsFTpk57udAiwxMdBgBEEGAAAAADYQIABQEZBgGUnHgHW1yNdXV1OHL/lE10R6eS090iP7tsV6eOtAOvr0ctD6TZs1dXe7kh7V3ev9Lr99DhB60XbQ9u2CLDIcss40X0MgwAjCDAAAAAAsIEAA4CMggDLTkwBZlZVXb0aehFPgPlEV7ibIcCUTDPWVdLLeavWNaq0VHt3b2+0citoPU+72k4/FWC+caL7GAYBRhBgAAAAAGADAQYAGQUBlp14KsAcsRWumHIqr+IIsB7TPvX16EqtqADzVHmZY0b6mkTFVdB6ERGm6e8WSH9//3YRYAQBBgAAAAA2EGAAkFEQYNmJdQ4wt0rLU61lVF152pVbsleAxYquEL51Vb8udTul2xa0ntPPNVpXpbebCjAysCDAAAAAAMAGAgwAMgoCLDvx3gIZrboKyyIlmtw2Y94tR2J1R6rFvLcm2ucAi46pVjervFR/tV7otZZXQetF20PbDhJgQeOY9isEAowgwAAAAADABgIMipI9u3fLmTOn9TvIJAiw7MRaAZYyXgGWyyDACAIMAAAAAGwgwKAo2djZKUeOHNbvIJMgwLKTtAkwdcuhpdIqV0GAEQQYAAAAANhAgEFRggAbPBBg2Ul6K8Cyz5UrV2RJ62LpOXdO/vKXv+jWWBBgBAEGAAAAADYQYFCUIMAGDwRYdlJoAkzx5BNPyMwZM2RkdZWcPHFC/vznP+slURBgBAEGAAAAADYQYFCUIMAGDwRYdlKIAswlnghDgBEEGAAAAADYQIBBUaLkF5PgDw4IsOykkAWYS1iETfeIMARYfmf52KWyeMLClNM6vkUmjhmPAAMAAACAGBBgUBT86U/f61fB/PGPf9SvIJ0gwLITJcB27dxZFGldvFhqRlbL0CE3y7gxYxFgeZqVo9tkYcN8WTBp3oAypWGyPPbYY/pPIAAAAACAMAgwKArqxo6Vd955R7+LpafnnGzetEm/g3SCAMtOlAC75ZZdRZHW1rAAKxk6BAGWx2kb12oVWslGCbCTJ0/qP4EAAAAAAMIgwKAo2H9rl6xft06/i2Vqc5M899yz+h2kEwRYdlIMt0A+/vjjMmP6NKmpGSl33nnSeTokt0DmbxBgAAAAAJBJEGBQFHz00UeOELBVganqr9G1tfodpBsEWHZSyALMFV+jtPj64Ycf9BImwc/nIMAAAAAAIJMgwKBo2LJ5k6xft1a/i6Kqv06fPqXfQbpBgGUnhSjA4okvFwRY/sYvwD68/GFSQYABAAAAQDwQYFA0fPDBB5EqsAsXLkhfX1+4+ms01V+ZBAGWnRSaALty5Yq0LVsqjz7aYxVfLjYBNmfEDOf7ILmdyopyGTt2TCTr1q1NKOvXr5fNnZukeXyjzG2YjQADAAAAACsIMCgq3CqwjZ2dcuTIYWmm+ivjIMCyEyUUihG/AFs+aolUDyuXzr2T5fYH55Aczq4js2TF+hmRvPn2q/1G9WtfO10WLWuW2fMnO+Js4vgJCDAAAAAAiAEBBkWFWwXWtmyZLF/eIWOo/so4CLDsBAEWFmCTRtTJnEW1cvKx+STHs/fEXFm1aVYk9z18rN+Y/VWUEGtoqJepU5v0GQEAAAAAEAYBBkWHqgKrH1fnzCNE9VfmQYBlJwiw8K2PwyqHOtVFNuFCcit+AfbCy08kFXPdyY11cvaRR/RZAQAAAACAAIMixK0CKy8r1S2QSRBg2UmxCzB162NlWYlsO9RklS3ZzwQZf12prLEuK874BdiTzz6UVMx11++cIZUVZfqsAAAAAABAgEEB88c//lHee+89+eUvn5J7771HTp48IYduu0127bpF5s2fL0uWLpO9e/fI4cOHnCfK3XffffL888/Jhx9+GHeSbUgOBFh2UuwCbEzFSG59zLP4BdjZx8/0G7O/ma23zpYZ82vlzJnT+swAAAAAgGLHKsC+/fZbWbd+g6xas54Mcp5++ml9FCAZ/vrXH+RXv/qVHLn9qCxeslTqx0+QisphUj+pSRrntcmMts0yY8UumbG6S2ZvOCLzt56UeVtOyOz1h2TGqn0yY/kOmb5sozTPXSJjxk+S0tJSmTR5iixrXy5nTp+WS5cu6S1BmD7p6eqSrq5u6b2qmwJAgGUnxSzAmionSc3IcvutjydqpKTyeim57jq5TqVpQmTZnvbrw22hlLRP9aynlqn1rlNVW2oMY701TdfLvBNxxra2GxVgcfZpTZNuC/Ud725HLyu0+AXYqxef7zdmfzNKgKkHHyxbtlifGYXLJ598Ig89+KDccfSobNuyRZYtXkJyLBvWrXf+sU39Q9t7fX36yBUnX331lZw7e1ZOHD8uO7fvkLbWpbKM5FTWr1nr/IPxvffcI2+++aY+csXJ7373O3nyySecfyjfs3u3rFq+Qpa3d5Acyvp16+TAgf1y111n5NVXX9FHDiAYqwD77NNPpay8XBbuOEMGMZNb1jnVSZAYn4bO0+4775RFob+sKyorQxeHs2R6xw5ZvOcBWXn8JasUSDSdD/TJ8qPPycKdd8mUxZ1S19Ak1TWjpGPFKnkwdKHx7be/1XtRjCj51RP6f8VVuYoAy8kUqwCrGz1GKsqGBt/6qGRT5NbDqTKvUkulXaVyXWWN7Im0Xyfjd+l1QnHkmCm0ggSYbWxru0+ABe2Tuc3rdLvTr/DiF2Cn7j2QVMx1lQA7cNdMmTV7mj4zCou//vWvcuzoHTKtqVlqRlTL1NGNMr26SWYOb5Z5I2aSHMvM4VMdMT+1ZoqMrhol48eOkwP798u1a9f0ES181O9Oc2fOluEVlTJlVINMrZoi04c1Wb8vkt3MCp2vzZWTpXFEg9RVj5Yxo2pl9+5b5KOPPtJHs/B56sknZdnS0PVFWZksmDlX1i5dJdtWbpb9m/bJwS23khzK3g23yKaODbJyUYdMa2yWUSNHypbNm+XSpbf10QTwEijAqkbWWi+qSOYyd+NRBFg/qNsae86dk4WLl4TO0VEyq22jLLrlXll395vW7zSdWd39qizY1i3NC1dIaegvxNVr18lzzz6r96yYcKu/3MSvAkOAZSfFKsCGVZZJS9tYq2BxEiCvlOAyhZeST2YVmFMB5r4PGCO5dp8As6ynqr/MfYqMp98XWvwC7PIHbycVc10lwFQFYEXFAOd67OuR7v7KXAeZhx96SOrH1klj7SRZWDUn8sRTkj9ZXD1fGsrHS2V5uZw4cUIf2cLk6ad/Kc1TGmVidb3MHzHL+n2Q3M7SkQulsbJByktL5eCBA/Ldd9/po1t4vPLKK9Iyf4FMb5wqt27cK4+dPCdPnXqc5FHuP3SPbFmxSUaPGiVbt2yRTz/5RB9dgDAIsBwKAiwYVe21d+++0MVMhUyZu0wW7jht/Q4HK0q4zQkdr8kz5suo2tHO/GK///3v9d4WGlelt1vLrh7LrRtXe6Xb1q5BgGUnxSrAKspLpG1DvVWwOEGA5Wz8AuzA0U39xuxvxhVgtbXV+sxIgb7Qn23dUcF/tbdb4vxRl3FU1Vfnhg1SWVouLYivgogSC5OrJ8r8OXPl888/10e6cOjau1fqqsfI3BEzrZ+f5Ffaa1qlobxeJo2fKO+++64+yoXDnSdPytjQ7/R7O2+xihWSX1Hyck3rKqmtqZGXX35ZH2UABFhOBQEWy69//WvZsWOnM5/X9I7tThWW7bvLZjqOPC3Ni9bIiBFVcvvtR+Trrwvrloa+Hu8FoFMN0dcjXd296gZIR47FuyhEgGUnxSrAxo0Z63z23cenWSVLoKRK4BZIjwCL9FUiK57oCmrvX4AV+y2QX351pd+Y/c0oAabOgZmzmvSZkQp90tPdIz296g849Wede+v34PPlF1/I7BmzpLlmsvXClOR31O2RY0ePltdfv6iPeP7TtmSZTKqZICtHLbN+ZpK/mTGsWSrLygtq3uKdO3bIjOZpct+hu60yheRvDmy+VapHjJAHHrhfH20odhBgORQEWBT1IIZbbtktI6prZObK3bLurtet31kuZcWxF2TyovWi5s9TFWH5SbTaK3zbj77oU8Ir0qZRlV9Mgp+zKVYBpibBnz6sUYYPH2qVLIGyKfRaSa7whPMBk+AbbdbJ6dMtwJzXejuVNTLPaC/E+AXYQKIE2OptE2Xd+lX6zEgB8/ZH58+7xG77zgQL5s535viyXYySwoiqrFEC/4svvtBHPX9Zv2adNCFrCzpTK6c4t0QWwkOibjt4UBbMmmeVJ6QwcvrWO525wdTT/gEQYDkUBFiYhx9+2LmtcGbbZll/z9vW7yqXs/L4i9K0oEMmN06VF194QX+q/MBT7dXXJ+plX49566M5AX5iIMCyk2IWYMtGtsiYipHxb4XMuxjCrECTbgE2f2mdnDlzWp8ZyeOvfo3+Mdhjvx08Q6gnO04Z2WC9CCWFFVUJtmDuPH3k85Mjhw5Lw6jx1s9HCivqoRsT68fLN998o49+/qGuOdQtneeOPWwVJ6RwcnjbQamuGiHvv/++PvpQrCDAcijFLsDev3xZWhYvcebVWnbgUet3lE9RT5CsmzBZ1nduzIEJQ+OIK1XZELmd0dJHVz709IWrw5KdEBoBlp0UuwBbPmqJlAy5KfhWyHyIugVSV6SpeOYoK8AcOJM+AdZ5ywwZNWqEU02cGur2R/XnosL7Z6NHhnkqw5L7x4FEeOH556V+1FjrxScpzIyvrJPTp07pMyC/eO+996SqcrgzV5Tts5HCS9OISbJ9yzZ9BuQXv/3tb51b47r3nbAKE1J4mTdtjqzo6NBnABQryQmwI1vlRuOXcSflW6XN3y+hdEv1dfNljnVZcaaYBdjzzz3nzKHVMKfd+t3kc5qXbZMpTc3Sl+UJQ2Mu2qJvQhd34UoHVe0VLWwwLwDVMu9tP/fcc7e0Ll4kC+bPk5UrlsvWrVvkwIH90t19pzzy8MPy7LPPysWLF2V+SysCLAspdgGmfjGfM2KGDBsWcCskybkcPzffKrNSyYy5dXLo0AF9VqRGZM7DmD8vXdEV/bMz/LZXetw3HjHm/bMzGdScNHNGTA9fbC55NvLnscm7+2IvSs3c/+CzckC9Vuu/cre1T2Zyt7wrl+R+67J4SXW9wcmti3Zb2/vLpoa1TmzLzLSOXCBVw4fLdynL2+yxasVKmTlyavTzWM65+19xz9n4xzly3gZmIOdJbp2b0c86eOf+zplb5PaVB50kcl4GRf1j07CyCucfsfON/bfeKisWd0QFSei8rAxd21YuOOmRJk+tawpd81bK8n1GWwFlz4J2OWVpL9RMntAgL734oj4LoBhJXoD5hFdb60i5sfVpb7+EggDzp1gF2KlTZ2TkqNGyeO+D1u+lEKKObeWwYVmaMDRcueVciFmkl0NkrhtVKRat9orKsFg+/PDX8stfPuVMKnn8+DHZt2+vbNrYKe1tbTJn9mwZM7pWhg65WYbcfBMCLAtBgIV/OR9dNlLmttZahQvJvRx9eJ7svmOO7DqSWrbtnyVTZ42SivJS2bRpY/p/yfXIMPWPBD2huKIr+mdsOm6ZfOqpJ2XiqProxaaSCZ/2JwX8CV1Qu+sMugBLIfvc+YQGRwIkm7OHH5I//O4P8tn7nyYlDZQ0U+upJCLQpgyfKEdvv11/F/nBpUtvy5jQtYPns8QVYPFinLeBGTxZFE0mtpnIZ01/lAhwefHB56x9Ek1z5WRZt2atHi0/uHbtmgyrqJAHj9wXlSNKgJU2SXMoe9y2UPZMqAy1F6oA2xX6vMUlwPZu2C0L5s/XZwIUI2kVYHMmG5Vhk7sjfeztQQLsaWkod/vPl+rJI6XhiN5O+UinTa1jHVPtn2e74XXD7aGxYvYht1KMAmzXLbtlYtMsWXHsRet3UkhZ0vWwVNeODf0lM5i3NpiiK0h6hXCqFaK37/irvRLl66+/dh4jPalhogwfVinDQqkdPQYBloUgwMK/mKt/na4oKcnvWyFJ3Nz+4BzZdqjJmfNNVfyNCF3UHD16VLZu2SI1I6tlxPBhsnFjp/MPED/88IM+U9KBt0o2ivqzNuCWySRYt3qtzBhmTHwfT4D5RMP9r3wpLywJywYHtczpcyl0Aa8xxor0U7jjONv7Mvr5+usfkVf2Ch/rOp7skxceVO2h/36aewLMlV8uiUowV365JCLBWqrnOlUK+cQdoZ+5GbXN3s8SV4AZ54fv3PGct3qdCJHxEjm/1Lmk20J939U/F/51Dzz4pe4TQp/niWwzkphz37v+1Qf3Rfr6t/WC57Mm8Jni/Fwmk2ufR59Yrs5JW59E016zWKqGDdej5Qc9585J67xFXjniCLB22bOgUprXRduaF+yS5YYA2zMheg1qVouZ7ddN2BVud6rHwm3OmGob7jJnnfC4p0LbVJLtuuvC8s26DWfdJmk22iP9DIkVuG5ofFXhZvaP9HX2qXhk2MiqqoJ44AikRvpugdwyP0Z6VW+J0x4gwLwVZapPVIBFxgkaM54AM7YV3YfcSjEJMCVKWpcsk8YFK2TjA+9Zv49CzKoTvVLfNFu279ihv4l0E67cilYieC/EPNJLXby5VQtdPdJ7tU+upiC9FL/61QXZ2NnpSJd5c+fIQw896FSBqTbmAMtOEGDRX84XVM12vg9SmFFzvVWVlcv4YaOdx/PXj6yTN954Q58RIufPn5dbbtkldWPHSFlpiaxZvVoee+xR+f3vf697DABV3WX8Oer8WRt4y2RyqAtKdWEZOZfVha9eFkVfLPtEgyvAnAtq9wLZWd+9uFZiQPfxrOtrj1xc998/us3QRf4SdcFvXMwHbcN5749abpEMWY4psVz6k2B++eWi5IOtv5mRw6rkN7/5jV4j92maNEVaquZ6P4dzzsXiF2DWc8c995Rc8pzbAQLN0kfJpqh8Uv3d7fjOTUMiOeu8cingfDXWMxKz/779UWM6+2zb1oPPGhVg/X8m7xj9/Sy1y7177nJitqnz0o+6JdJdrs5pVRWmRIG5XryoP3fPn39Zj5b7rFy+Qnavj4ooJ6HvVwmwU+q/WlKdWtAky/edjAowJbQMgaXEVazYivZ3BZfTNzROPAHmkWZB29CCzJFVoetwV9QpkeW8jrduRG4Zn6cIK8BUFs9e6FyrQHEy4AowN0pQeaTSlvmOyApqDxJgfjnlSixTjAWOGU+AGe3RfdDvcyTFIsDefustaZg0WWau2GX9HoohkxeslJZFrXI1VeNkxVvh5c5f45nXy1fpNRC+//57ue++e2XG9GlSMnSIbN+2Td4KHVvFyhUrpHXxYuc1Aiw7UWKgGLEJMBVVCUYKN+ax9gswk9cvXpT9t3ZJQ8NE52eko71NHn7oIecfZTKCR4YlzrvvvivjRo7xfC7/xXPMMs/FsnHB7q4T2Cd8IR5Ft6fSX7eEpYNXFljX0cu8yU0BduFJsxwnSpAEC5JfCr+QsGXisHp5tKdHr5HbqIdNKGEb8zl855CKVWDZzh193kbkkTvGvksx51dQn+i2wvH8XBiiKSrJorGfr95zOhLf/nvXDeNsw7qt6GdN5DPF+7n0R1UtmiippRJ0XrrSy1yu3tvG9qexskEOHzqk18p9amtq5J6DZzxSJCqJlCBSoin03wnue0NU+YpB3Cor7zItmNSYZj/1PkCA2ccJWtfdR3ecsABLbF1TzBWnANuzfpd0btigzwYoNtImwAKrsoLaU6gAi7QHjenZv+i6TjsVYDnBc889K+Xl5bJo+0nrd1BMmbZ8t9RPmJiGx/GGq756+lRFlym39O05jvRyKxTUrTipV3op3nnnndB5ulPKy0planOT3H3XXZ5Kil07d0pTY2Pk6WsIsOwEAWb/JZ0UfuIJMBP1Z9mRw4edP8fUz8vixYvk3nvukc8//1z3yB4vvviCTK6d6P1s6sI3ngDzXEQbF+z9CDB1oR29KDcqSpLtr/tF98V7MR93HU9yU4CpJCrBBiq/VCZXTJDuO+/Ua+U2ak7QsdW++b9UfOeQilWAuTHPHfe83Te4FWDOWCHs56tln824Y1lFl7Hcfe/s9yWrAAv83L7vNJ4AM29zTJUP3njfOrY/qvp2c+cmvVZuo/4Bd1hlRawYUZJIyyAlkpoXqNsflZQyKqbWNUVElRlTYHkrrHTcsY1thKu4YgVY0DYSEWCJrYsAu33HIVm0YKE+I6DYSJ8AC0WJpYhx9gmq2Ha7AIs7B5hRtWUf075uuAKMOcCyzeXLl2X4iBHSWsCT3Seb2RsOS/O0GfLHP9h/Ue4XLbfcAoN4T3EcKD09PbJwwQLnQnH9urXyyvnzekmUY8fukJHVVfLrX/9atyDAshUEmP2XdFL4SVSAmXzwwQdy4sRxmT1rpvOzM2/uXOeJth9l6Ra0hx9+SBpHTvJ+NnXhq5ebhC+01UW6bghdQHvnOgqhLrCDLpw9437prBv3Qjugv7pAd4kRFEHb0GN7k7sCTKU/CZYO+aUybVij3LJrl14zt7lw4VWZNHpC7OfwnUMqNoFlP3dCaDFkLo9KIeP8CuwT7+ciuq4SZVFC7YHnq3c9N7H779ufEG57zLY8nzWBzxT0c6nfm1Hn20Dp3nTcOrY/80bMlMXzW/Rauc2noevc+rF1sWIkdIwickq9jjz50Su0zDm2VCK3GEbaKqV5QvjWQ7Ov088Zy21rcvrFCLB42+hPgCW0rupjCDDVz/ncxSPDzuw/JZMn5tc8i5A+khNgg5DYCjCbJEsyjgDLTellppAFmKoQamqeJgs2H7V+9mLO1GVbpGPlav1NxcM/v5fbZkxYHxFiblWYbk8RNf/IgQP7nYmkx9fXy/Fjx+Tq1djSfoW6YFMXjq+++qpuCYMAy04QYPZf0knhJxUBZvLpJ5/ImTNnIsJf3eZ9xx1H5b333tM9Ms/p06ekuWqy9fOR7CdIginSIb9UZg2fJmtWrNJr5zbPPvOMTK7xVSzmQGIrwGLlVaFnIFVgSuraxrRFPbhhRuj3/Hygr69PGhsmW8UIKY48dPv9Mqa2Vp8RUGzknADzVnFdl565uhBgWWf5ylUyrW2r9XOTy9Iwa4ncdttB/W1Z8FV6ufN7OXgmtg+T6lMcXdQvs+3tbc7Fn/rvM6H38VAXhqqvmmzaDwIssay4rUeWbj8mS7YcSTnL90e/ZwSY/Zd0knvpGLtEFk1cIC0DyNL6RbJqdJsz3kAFmImap/GB+++XpUuXOD9TjVMmy20HD0bmO8wUCLDcTzwJ5idZ+aWCAEtHzAqw0M+z7bbEAs/bL72pP30UJWmVBFDVirevPBjzhFMXBBgp1CDAipscFGDFm0IVYF233iqNc5dZPzMJZ/09b8mYCY3y0EPeCUuj+Cq9PLc3+uf+Sg1V2aUqvCaMr3cqvlTlV6JPoPruu+/k2jX7vzIiwPrPmhMvyKL1+9KS1Xc844yJALP/kk5yK0paLWyYLwsmzRtwloxf5IyZTgFmouY1PHfurKxcsVyG3HyTUxW7b+8e+dWFC7pHcvwhzq3vCLD8SCISLBX5pYIAIwON7WmPqiLMfOKjG3X7rq1aTI3h72sLAozkUxBgxQ0CLIdSiALsgQcekHGTpsr6e9+2fmYSTceRX0rlsBHyyisBv1B7Kr2883td7e1JueLrlVfOO3N6KWGibvnp6Tmnl6QHBFj/UZVbNpmVStwqMASY/Zd0kltZPnapVWalElUJpsbMlAAzUZMoP/nkk6E/O9dJZUW5jK4dJTt2bJeXXnpJ9+ifsWNGy913363feUGA5U/i3WKmnqpnWyeRFKYAM29DDL4lMd68VvmQ+x+0TGo/SFEiS1V1qcnrbVVd8YSsWs+GqiJT0sAmztwgwDIdNVdXdM6voETn9hpovNvbs6Cw5gZDgBU3CLAcSqEJsJdffllGVFVLx+3hihTSf1p23iW1o8fKJ598or9FE1Xppeb/6nH+O5D5vdScbOrpjerpZ+ppjurJjeqJaJkAAdZ/EGDpAwGWX8lXAebn+eeeky1bNjsPAakaMVw2bdzo3Dr+ww8/6B6xfPDB+1I/rk527tyhW6IgwPIj8Sa8Vyg5Zj4dMpkUvgALTn4LsNBnNJ/0OMhRtzPGI57EUomHEge2dVQQYJnOYAswM4U3OT4CrLhBgOVQCkmAqSes1IyqlZZd91g/KwnOzDW3yuw58/U36UXN/dXT05fy7Y5q3prt27ZJydAhzsTO9917r1PJkEkQYP3HL8C27L8zqZjrIsAQYPkUvwBraVwgm9o6E47qnwsCzOT8+Zflll07nQov9Q8Ma9eslscff8x6y+NvPvxQJk4YL9u2bdUtYRBguZ/+5JeL+3RI2xjxUhACbN8l3cPyZFCfDIs+8dB8WqPZHjCHl/NUxNA6uo/7tERnAvxP1UN7wtuwjhOwrortCYzxxnT7RNqc90GfMYS7LbUPoTEjRfwDlGfxBJg6X23rmIlX0ajEgW0dlYIQYOpJiaWV0ac5GtLHfLJi5GmNAU9WdJ7oGBpHPeVRCSvPUxnd/gluK9I/jgCL9o8+VdLb7ttn23bXNUX6hp8mGd1eZJzQvqjX7tMm/Z8/n4IAK24QYDmUQhJga9dtkFmr9lg/Z0JRDy6IeQKo+VTQND0h1Mic1q3S5rxO/9jJpmFuu/NI/hjUZPjGrY+J8sgjDzuP9VdSZGPnBvnVr1KbsyYVEGD9xy/A3v/Np0nFXBcBhgDLp/gFWMfsNrn8zuWEo/rnmgAzuXjxotza1SUTJ06Qm278hSzvaJdHHn5YvvnmG91D5OOPP5bJkxpk8+ZNugUBlutJVH65pCLBCkGAmZVcB5Yo6RQgwJQoi8gn1a7X87SHBVRYpBlRAsknmVQf1TeybtA4AeuGxZjbX02kH94fz5gBfZz9j0isoM/o21akvzlOalG3McY7N+NVgKllQahzuHvTcet6KoUjwFwRdVKWl2qZpOSQIXqU4HIkkOpvtJsCLNLft25EIAVtyzOm0R4kwDzjqz4J7LNlu2bl2Kl9SpaZ2wu9dtcx9i8yptMnv4IAK24QYDmUQhFgzz33nIxraLR+xkQzZ/J1Uj15vu8poJkUYKHxyl0Blv2sPP6SlJWXJzwJvY0PPvhAurr2ObfjTGqYKHeePClff53647BTBQHWf/wC7NCph/uN2d8MAgwBlk/xC7DFzS1ycMeBuFkxt8OzjptcFGAm71y6JIcPH5Lmpkbn57O1dbHce++98sUXn8tnn30mjY1TnH+gUCDAcjfx5Je6sLI9dU+RrAQriAowRzCFCVdd2QWYX2y54swRTj5iqsA8IiqUfZecPmpdt2/gOAHrxq4T3R9z+7Y+QQJM9TU/Y2Rbvn1I1+2fSlbZzkXVZuuvouas86Me9JDIRPgFI8A8sioshRyh5VZM6TgVVXH6uxVXMZJoXVPcdd11otty2+0CzD9+qvvstJv9ggSYI81Uu31/8iUIsOIGAZZDKRQBNmlK0wBvfXRllF9yBQswJcwif8hP7tb9L0tb68houxZctr6RNud9AmOrCrXykXKj2x6RZ+6+h9cdSGas2icrV63R32riPPXUU5FH9q9YsVyef/55vSQ7IMD6j1+Anb94qd+Y/c0UuwCbGvrzZ1H1POsv6CT34hdgbTOXysvP9sbN1hWbPeu4cQVY7fCR8utf/1qfEbmJmv/r+PFjMmvmDOdndf68uY4cU5VgamJ9BFhuJp78MicXD3o6ZDISrKDmAItUOdkFmLc6yqiCMoRUYBzJ5o7prQCLrBs0TiLr+irA3PagPkECzPsZfRVgGRBgbmy3NPofzqDOSZv8Uud6oudrIQuwiLQy+6qo/hExpIRQVD5F+serAOtHniVfAWb0j7fPts9oLnc+U5AA09JtQsD4eRIEWHGDAMuhFIIAu/32o9K8cIX18yUaJa2qt8S+DhRgW+Z7pJdTPabWcSRVVEapsW5UVWWRvk9LQ/lIaTiiXpviKtmxzXHSm7pJU+WXv/yl/naD+fzzK3L09tulbuxY52lkhw7dFjCR/uCDAOs/fgF2b8+zScVct9gFWPuyNpk7Yqb1F3SSe/ELsCXTFss9x+9OOKq/X4ANr6iUb7/9Vp8RuY/6s/rM6dOyYH7o76fQz21pyVCZNm0qAizHkqj8cjNQCVYYt0DqDiHC1U8BAszT90tnTixXApljKDxVVCqOQAqYA8yQXtZxAtYNizGXL505yWLEWECf8OcKESP8fPtgbiuDAizoPFTnsqoGU0+LDJr3K161mD8FLcCc18Y/hocSrrpSwslti86/5ZVYvnXd8YO2pdrdvtcp0eRWeAVXXEXHD203IswC9jlgu2bf2O2p16FlFtnnjpNvQYAVNwiwHEq+CzD1ZMERI6pkxbEXrJ8vsSj5FP1D2IlNTBmvvZIslC361kn3v267jqcq7Lr4AixwbCXAPGIsMwKsZefdMn3WXP0Nx9L70kuyZvUq56Jp8aJFzkTLuQYCrP/4BVjP071JxVy32AXYju3bZfqwJusv6CT34hdgS6e3ytl7Hkk4qr8pwNprWqWirEyfDbnJ7373O7l06W159NFH5fChQ7I69Ge4ui2yrLTE+bkdPqxS2pYtRYDlUJSwSkZ+uQmSD4mIhYKqAMtkfAIpqQxk3TxIvPM2Ufp7aqSbghBgJLEoiWZUhOVjEGDFDQIsh5LvAuzYsRMyvXWt9bMlHF/FlUqk6ipAgCVWpaX7XXedIcUGWAE2CAJMpW7ydM9tjKqy4fSpU9I4ZbIMq6yQPbt3y3vvvaeX5h4IsP7jF2DP9L7Wb8z+ZopdgD355BMyYUSd9Rd0knvxC7BlM5bIL3ueiptN7Z2eddwoATZ7+HRZvKBFnw25x+xZM52fzYryMpk2tVnWrl0jtx854vzjxTvvvBN5UiS3QOZeVOWWn3jyy41NgvlvQbMFAZZgEGCBURf6A0Wdv7ax/UGAFUfCc4vld/WXCgKsuEGA5VDyWYD95S9/kVG1o6XjSGzFVeIJuJVQSShHTgUIsFCUmIpUdRliylvtFeqvxFXk/UipnuxWeKnxQm0x2wkYO1CAhdY1pVsaMn9btyxoWSyvv/66bNm8WW6+6UbnIurBBx9wvvdcBwHWf/wC7OT9j/cbs7+ZYhdgqrqmrKREVo5aZv0lneRW/AKsdeoiOX7gWNysWrDSs44bJcAmDhsnDz30oD4bcpM//vGP+lUwCLDci6qmMSVYIvLLjSnBEpFfKggwMtCo2xtN+qsGU8v9fdTtkbax/UGAkXwKAqy4QYDlUPJZgN11110DnvuLBGfsxCbnEfpKgL3++kX9recHCLD+4xdgb777QVIx1y12AaboaGvjNsg8iV+Atc9aJm9ceD3hqP6R9SfOlcqycvniiy/0mZC/IMByM0qCKZmVjPxyo8TX2cMPWZfZggAjA40rbZXUUueeeq9uabRNeK/Oa/dpj6qvEl8q3AJJCjEIsOIGAZZDyWcBNrmxWZYe6LF+LjLwzNlwRNauDz8eP99AgPUfvwDbc/SepGKuiwATeeON16VmeLX1l3SSW/ELsEVNC+WW9TsTjurvrts8vlH27tmjz4L8BgFGEGAkHVHSS8Xf5scmuhKVXyoIMJJPQYAVNwiwHEq+CrA33nhD6iY2Wj/T4Md7++JgJ1Nzga2763UpKyuT3/3uO/2t5w8IsP7jF2CfffFVvzH7m0GAhdnY2SmjSpBguR6/AFs+p10+/fjTuNnTuduzjsqcibNkXF2dfP311/oMyG8QYAQBRjIZ87ZcVSVm65NMEGAkn4IAK24QYDmUfBVgu3fvkVmr91o/0+CnMAWYSkPowvDhhx/S33r+gADrP34BtmbX7f3G7G8GARbmi88/l3Fj65xJ0W2/rJPciF+ALZwyX1bOXx43i5tbPOvMb5grkyY0yOZNm/XRz38QYAQBRjIZdbujehqpSjK35gYFAUbyKQiw4gYBlkPJVwE2KvQHyMrjL1o/U0pxJpifH56UPhT11MbIRPTGBPP2ie+DJ7CPPP1RPw1SJTwBvjeBk96Xj4xOoG/dj9A+T86cAGvZdbcsWrxYf+v5AwKs//gF2ECCAIty8bXXpLykVFqq5lp/YSfZj1+ApZLGCZOlvb1d7rnnHn3k8x8EGEGAkXwKAozkUxBgxQ0CLIcSI8Cu9kp3T59+Y9InPV09of9Pnr7eXrmqXydCX0+39FpWcMd58cUXZcrMhdbPk3KcJzW6EksJraioUrLJee15CqP59EhDgCnRZTypUT0RUq1rVmm1+Z9aGTSuI8Bc6WW0e7ahtp05AaZSXTNaPv/88/BByBMQYP1nxW09VpmVStRYakwEWJgnn3jCeSrkrOFTrb+0k+xm1eg2q9RKJHMbZsvkCZOkdXGrHDt2THp6evRRz38QYCQVAaYu7MMveqTb9stbhkCAkVQEWOSaJPB6JzMgwAgCrLhBgOVQEhdgqdInPd3pEGDRcW69dX/6b3+MkVDeii5XhimhFanUioinqADzLg/HqQJzBJvxXo/txjquZ5+iEs2Vav529326M3F2mzz+2GPhw5AnIMD6T+d978iSLUesQiuZLN54QDbc/YYzJgIsyttvvyUN4yeE/iypl/aaVusv7yR7WTwhOpF9opk+YapMnDBBVq9a7civU6dOyW9+8xt9xPMfBBhJWoCZvzMiwMggJ3kBZlyTIMDIIAcBVtwgwLKRU/dIV1eXk1tOhd7f0yN7bn8uIsAi0sn5C6FHenTfrshfDt4KsL4evTwU8xeeq73dkfau0F8yvW4/PU7QetH20LYtAiyyPDTO9JmzZO2tbv9QQp/D+pmTSQICTImnqLwKrgCzCa5IPFVd4QSOGyDAvBVg5n5kJrM3HJZNW7bqI5EfIMASz9rulwcUJdLcsRBgXr799ls5ePCAVJSWSWNFg7SOXGD9JZ5kJyvGLHNuh4yXtjGLZebIqTKupk5a5i2Qp59+Wq5cueLk+++/10e6MECAkeQE2FXp7Q7/Hub8PtfXE/29LJSoW4j26+oyfr8L9VcVlLH9EwMBRpIVYOa1RMz1jvGP9dZrFdX//9/em/hFca37+v/Q796zz8k9dzhnn3vO3YkzCAooMs+IiMgggiAIDojzhIrzEDXibGJMJGYyaqKJMWZyipnjzmDm7J1xv79e1VXdVc3qAeimp+f5fL4JXbVqVXdX2VQ/vGtVf7/0a9qHAgKMIMCSGwRYFLJ23wHZcNL98+qTNwILMB/R5b4osQkwdZFju1JR0st4aPxy8P5CUMv7r171/rXF33aO5Wo//ivAPvzuO0mb1eWQXmv3mVLPfDyshCDAjDa2Ki0195a7EssmwMz23mou97b2ZfbqLSP++vUnwIyfve3VPGGRFGAd+y9KXkGxeRziAyXAKtvWSeP6Y2QUgwDT8+mnn8o21wVz/oxcyZ4yTcozi6UstUiq0ypkjusLJ4mdqGGrlZNLpGxKkRRPKzDkZfuCNrl08aJ5NBMXBBgJWwWYbbnnWs/AVoFjv/az9xMiCDAy4gowz/cdJWnN7x4hfcextQ8RBBhBgCU3CLBoRAkv868Wmw8FFmAD9k90zwWNV4CpXwbWX0asWH/981z8ePD+svG3nfPiSHXjX4Cdv/iSzF260Sm8jpx0vyb76yVhTWZ2rvElPl544sxZWbK0m4xyupcvN48A+OP27dvy1FNn5eDBA7J65SpZ3NFFYihLFy2WHdu2y+lTp+TypUvy22+/mUcu8UGAkUgIMHs1jTveP6bq2ocKAoyEcwik9d3D73ccP+1DBQFGEGDJDQIsmlHia9eArDb/P98QYJu9VVfqA97zFw71Aa+vABssulz4bKva9anyYmuZv+2MdtYvFX9/VXH/0tq7b5/UrNga/gowEjCFNS3y0ksXzGMBAACJBgKMjHYFGAKMjCSREGB+v6v4ax8iCDCCAEtuEGBRiJJE1l8y3LLohmzYZS3b4p13S33A28e4ez7sbQJMPfL5i57VzPmXE9Vebef62fyF428773LXvv0JMLW+d60sWHfE8XrCMgcYCZjK1rVy+PBj5rEAAIBEAwFGhiXAXNdhhjDwK7TM6zcz3sUIMDKyDEuAqfNQfScJILS031UCtA8FBBhBgCU3CLAYyqC7QPrFKcCiReXMWbJwzwva1xKpuOfbitQ8W875w2I1dasOyPIVK82jAAAAiQYCjAxZgEURBBgZugCLHggwggBLbhBgMZSQBNjdAfdfQYb417lIMDktTbpP3tS+lsgk0oIqPgRY645nZPacueZRAACARAMBRmJFgN26dUuuXr0qP/30k7lkMAgwEisCTM2Re/HiS/LNN9+YSwaDACMIsOQGARZDCb0CLLKoXx7qDnJLly5xXfjcNJc6ue86R6bl5GtfR6TivduiW1LZ7+b4SPMFdzvjbo31kmFb7mmXskbaBvXliufujv7vIOnpf3W9Z9mgO0iOUpYeuyEZmVnmkQAAgEQDAUZiRYB99NFHsnBhm3FduGXzZvniiy/MNV4QYCRWBNi3334ry7u7jfN15coV8v7775trvCDACAIsuUGAxVBiRYAp1AXPmjWr/YqwO3fuSH5plfZ1RC42QaVElEdc3ZO25ky3kFICzCOxVHuvqFJCy9PGs+0FKU6xhlQG77+21Dv8sm2vKcWikEkpKfLHH3+YRwMAABIJBBiJtSGQb7xx3SbCeh0iDAFGYm0I5F3X9xR/IgwBRhBgyQ0CLIYSSwLM4qOPPpQ1q+0i7Jax/MaNG1Iyq077OiIXr6BSQsqqxLJiVGkNklvOii5Lhjm3HyzAAvZvf2z2PdqZMjVTfvzxR+NYAABAYoEAI7E6B5hdhG02RRgCjMTqHGA6EYYAIwiw5AYBFkOJRQFm4SvCjh8/JuW1zdrXEbk4K7S0AioEAabklndb/xVgAQWX2o9tSOVoJzM7V778cvAwBAAAiH8QYMQSYJcvX47JHDp0UGbPrjauC2tc/0eAJXcsAfbyyy/HZE6cOCGNDQ3G+TqzsgIBluRBgCU3CLAYihJgM7KzpWrmzJhNaUmJTElPM36BlNe1al9H5GITVK445vFyRT+8cbAAs1dxqeqvjFJz+GQI/duXubeJTnIKSw0pCQAAiQcCjCgBNqtyphQVFsRscmZkS8qkiTJ2zCMIsCSPEmBF+QVSWJAfs8nNmSGpKZOM7zBlRSVaMUKSIwiw5AYBFkNRAmxh20J59tnzMZmTJ09IS0uz8Ytj+rQsqZy/RPs6SOSTW1IlP/3EEEgAgEQEAUZidQik4vbt29K9bKlxPbh61So5dfIkAizJE6tDIBWfffaZbNiw3jhfOzsXyblzT1MBluRBgCU3CLAYSqwOgfzii89lc2+v8YujfWGbvPHGG3L+/HmZOa9L+zpI5DOjsFzev3fPPEIAAJBIIMBILAowX/H14QcfGMuZA4zEogDzFV9vv/22sZw5wAgCLLlBgMVQYk2AOcXXQkN8WVy6dEnKahdoX0e0Y79T4/DjHA45nITneegzPbdA/vrX++bRAACARAIBRmJJgPkTXxYIMBJLAswuvrps4ssCAUYQYMkNAiyGEisC7Ndff3WIrxs28WXx+uuvS/GsBu3riHYiKZ6Gkkg+j6mZ0+S7774zjwYAACQSCDASKwLs+eef9yu+LBBgJFYEmJJb/sSXBQKMIMCSGwRYDCVWBNh91/E/e/asfPbpp+aSwdy6eVMKy6u1r2M4Me7MmJIpD5lVV44J6K1J7Y07L7raWcttd2H0tq83JrW3xJPffkpd7czl6m6PnnaePp13hLT6sCa+t/drv1ukv+cR7qSmTjZEJQAAJB4IMBJLFWB//PGH+ZMeBBiJpQqw33//3fxJDwKMIMCSGwRYDCVW5wDT8dGHH0peUZn2dQwnSoA5BZX9To6mSDIEmCWobMuVoPK0V+JKt9wtp7x3gbSGN6r2TrHl/tkrwOyVXG17LwzqVz13Yxt/z8NsF64sO/GOpE6ebB4JAABINBBgJJYnwfcFAUZieRJ8XxBgBAGW3CDAYijxJMBU9VFKSor2dQwnRgWYrZLKEGJmhdVDlkhyiDGvmPIIqCDLlaAy9jFIsHnn+tIJMLcw81Z7OZ+bc7nueViPw5X2vRektLzSPBIAAJBoIMAIAozEUxBgJJ6CAEtuEGAxlHgSYIqComJZdOBl7WsZapQ8sgSY/edBFWAaAeasvPJXGWaTW0MVYFbUdqoCzRJp9nUq/p6Hb7sRpnH9UWltj4+LYgAAGDoIMIIAI/EUBBiJpyDAkhsEWAwl3gRYa9tCaeo9rX0tQ41DetkqrlT1l5pLa7C4clZYKXFltVfzhA1e7oq17RAFmL0Pq8LL0a92ufN5hDOzFm2Wvu07zaMAAACJBgKMIMBIPAUBRuIpCLDkBgEWQ4k3AbZla5/MXrJd+1pI5FLe0CkDAwPmUQAAgEQDAUYQYCSeggAj8RQEWHKDAIuhxJsAO3v2Salo7NK+FhK55JXMlHfffdc8CnYeyNX+Punrc2Xgrrks+qgLjevXr5MoBILz/fffywcffCDXrl2TS5cukhjKy5cvy+1bt+TLL780j1bygAAjCDAST0GAkXgKAiy5QYDFUOJNgH388ceSnVugfS0kMlly5LpMmZppHgEf7g54xZf95yjTsqBNckurpah6HhnFPPLwX8wjAL688cYb0rdlixQXFsnUyemSk5ktRdMKpCSrkMRQyrKLJT8zRzLTpkpaaqosXtQlz54/Lz///LN5JBMXBBhBgJF4CgKMxFMQYMkNAiyGEm8CTJFfUCQdj17Svp7hRzMBvSa1zWukTbM8kdOw7ogsaOsw330ndwf65eoD84HclYH+q+J+GN3KsHnNrdLcd1b7ekjkggAbjKqKq58zVyaNnyCzMsplfka99kKexF7as5pldnqllM8okWkZmXLq5EnzqCYmCDCCACPxFAQYiacgwJIbBFgMJR4F2OrVq6W2Z6/29UQ2/ZKh7sioXZe4qZjfLSdPnDDffRsPrkp/34B49NbdAem3bJitGuzuwOiLMARYdIIAc7JuzVqZ4fq9VjetRnvxTuInTRl17gqx4hK5c+e2eYQTCwQYQYCReAoCjMRTEGDJDQIshhKPAuyZgQEpq2vXvp7hx1YBpu7YmJLpvSukKb08d1s07+bouCuj7U6R3qi7PVpt6o07S6o7NBp3n3T1r5b53vFRf9dI1ca8u6Ox3NVXwP2GNzmFpcYvbl8eXO03JsY3xJYSXjYZZlWGKfmlk2KRBgEWnSDA3Hz11VfSWNcgZZl8OUu0qIqwyZNS5MKFF82jnTggwAgCjMRTEGAknoIAS24QYDGUeBRg33zzjaROnizLT93SvqbhxVeAWZVeSmKZ8sleAba63iGflMTKWO3+2YohupovmI9V/14B5tnWXz+BBJhtqKZuv+FM267npKikzHzn7dyVAUt4+YotVRlmDIW0tTGwD5H0JdC6oYMAi04QYGLMFVVVUSmzMiq0F+wk/tM4tVaypmTIxYsvmUc9ChgVuH3SF8bPTQQYQYCReAoCjMRTEGDJDQIshhKPAkzR1bVY6lYd1L6m4cVHgOnkk02AKYnlEE+r622yyx1fOWX1YxdjfvsJJMBsy3X7DWdmtq6WvXv3me96iDy4K3eNb2Q+UsshypxzhKlqMk+lWBhAgEUnCDCRRe0dUjGlRHuxThInDVPnSHrqZHnvvffMIz9amJ+d5mdrOD87EWAEAUbiKQgwEk9BgCU3CLAYSrwKsBdffFEKZzVqX9PwMjQBNtIKMM/yQBVgnio077bG8lGsAMucniMfffih+a4PHfXlzJBcRuxDJPvE48J8hk+GAwRYdJLsAuzA/kelPBv5lSypTquQmeUV5tGPEMbno/sPBRYO6eWpuB05CDCCACPxFAQYiacgwJIbBFgMJV4FmCIjM0u6Dl3Vvq6hJ0QBpubdMsWUkk+D5u5yJMAcYLaqLX0/+m3dz2105gBr2nRKauoaZMOG9XL1yhXzXQ8HPkMjPZVhqrLBflfJ4YMAi06SWYB99913kpaaKi2ZjdoLdZKYyU/PkbNnnzTPgmHg+vzzW8Flr5q1/+yQXuH73ESAEQQYiacgwEg8BQGW3CDAYijxLMA2beqVmQvXa19XLGRwBZi3cmvY8ZFzkUzJnAVy6vTjsnlzr0xOTZGKinI5cfy4/P3vfzePwHBxDo20Jsx3fMEzvtQNvyossACzy0V3IllF54zPvj1VfomRZBZgWzdvkapp5T4X6Fvl5ftmA4Nb8rht/eNnLsoO9XPLRXlw7YRtu+HmhNzx2Ycunv2OYrz7DO05Bo/Pe3s/9Ne0snipfPPFN0b++v59bZtQM29qreRMzzafRKi4Pt+u+sgsa06vQZWy5pBH17p+1+ejV3p52wUbBvnKK6/I1CnpUlZaIp2di2T3rl3yzDMDcvvWLcfnOQKMIMBIPAUBRuIpCLDkBgEWQ4lnAfbJJ59I+pSp0n3yXe1ri36csiMsc3WNkgBr2/msZOfmm++0yG+//SqnT5+SWVUzZdLECbJxwwa5c+eOuXboGEMjXV/m1Bc8ay4bjwhTOGSY+4ug7zCgQPgXYO5j4hRetiGmjrYRSAhDZ+M5ySzApmdmSWtmk+3iXIkekTtbbRfsW2+5lljyx7XekjZhE2ChxLbfUUsE9qneS9t79vg1n/c6QPpXHjSOmcWG2au17UJNXlq2XL582ewtFOxVsKbgMj8H7TLLPYTc+7lo/4xU60L8ODR4//178sILL8ij+/fLsmVLpWpmpaRMmmj8m83LzZH6+jpZsmQxAizJgwAj8RQEGImnIMCSGwRYDCWeBZhizZq1Mqtzs/a1xWNqm4NVBIWpkixIyuo75MiRY+a77OTatddk2dIlxhen+U1N8vxzz5lrhsjdARkYcMX4EuenKsyFo7rBtU2gSgcLvwLMR0D5xqjaS8kUNexUvcfa4an+hsgOY3iq2h8CLP554403JD8r13lxvvWWPDiz1bnMlR1nvjKWK2FjoCSOIcBuGcLMwCaLPO1cWP0Zfdz/yrXEt5LKVl2l+nS18fxrMft07Nf+2IWu/zvXvpKXW8z+jT59+nHheZ0h7dP2HH368QgtP/0Y6/xEPWedANvXuXPQsptX3jE7dnP9+WuO9apCTLedv1SllcmqnhVmbyHgcwdHx2ec47NQiTJbhaztMzIcqC9kW7dsluLCQuPf7tgxjyDAkjwIMBJPQYCReAoCLLlBgMVQ4l2A3bt3T6ZmTZeex+9qX198pd87yb7fRF6Ate+9IJnTsuX3338332U9X3zxhezbu1dmZE+X3Jwco7Lgq6/Ul+bh4anysn0xdH01HDQUUl1EGP8PUBUWSIB5K/GcFXpKRCkh5RFXgW5Q4E+A2Y5N0OquIDIuHpOsAmzHju0yK6PCcWHuT8h4xZhPBZhHCqmhfaZ08qlysvpU/7cv98ZXgFniyNanfb+h9G9r43lNfrYLaZ/25+jTj5JhgfvxE59+rCixpVDDHE9tPm6ILXUR+vefnMO41eOn9zxprFfVYaq94pUzlwb1qUtr5jyZNjXT2CZk7FWuAef0MivEhlLuFYA3b9yQbdv6pKS4yPj32rqgRdraWo3K3vXr1iLAkjwIMBJPQYCReAoCLLlBgMVQ4l2AKZYv75FZi8JUBaakhE2IqGX2KiCPPAlQ7aOrGgqlssizzPexK7q5xNR6j2DxkTIjSXn9Ijlw8JD57obG+fPnZV5jo/GFanl3t1y/ft1cM3ScQ3uclWEWvlVhvl8Oh1oBZlViGcfJfK8HVWdZ8iyQALP3bbW3HttiHNswHa9YSrIKsMWuL4xz0mc5L863Bq4AGyTAHCLILXwMEeWD2tbbh7PvQQJM06d9v6H1b/Xp7dvfdqHs0/4cVT+G8DLbe94zv/0MjlFBppFfSmiFAyXEfPvWJXXSJPnll1/MrULB/tk2tDm9hsorr7xsyK1s14W3Gva4dMliOf/MM/LTTz/Jrl07JT1tsty4cYM5wAgCjMRVEGAknoIAS24QYDGURBBgn376qUycOFEWHXhZ+xqHEu8dH+9J294Lg4SJR4r4q/ZxSBBVYeTuT23n6cdPG0cFmL/92ivAbP0MkjXDzLyNJ6W4tNx8Z4fOrVu3XF+01sn4ceNkdvUseeKJJ+SPP/4w1w4P9WXQWRmmhgUNyIBRAaa+NA6WZMHmAHOKKe+8YOp99KzzOQaOY+yp1FPHYygVYN59OZcnRpJVgM2tqZXGqbU+F+dK9AxvDjCP8Akq0ZzL7XIpJBkVYv+GqLpma+tnu6EKMOP9cLS3VYBp+7HHPQm+4/21RVVzjRRVGab60fXvm6y0DLnvuo4ZCiOZ0ysQamL75557VrqXLZO0yakyLStT1qxZLZcvXTJbuNnm+kzNysyQd99xDwlFgBEEGImnIMBIPAUBltwgwGIoiSDAFP2HD0vp3DbtaxxSDInhrboyxJX52FGN5ZBYrtiqfZzbeAWYXbro2tgFmN/92gWYIVPUz/ZlI0tuUblc8vmSNBxUZcGxo0elrLTUqC7o27pFPvzwQ3PtSLELLyXD+sxqCffPhihbs9SPAHPHqMCyvbeWkPI9To52DmlpLa+XjCHMAea7XxX7/uI9ySrACnLzZEHmPM0FulvSeLHkl4oSQS6UGAogfBxzZLlQwmfEAkx1ZAqpkPpXfYlTQum2C22ftufo24+1bQgCzHf/Ct/3xBoCOVzUBau9v0DJz8yRt99+29wyVNyfWeEQX18/eCBnzpyRhW1tMuaRh6WosEC2uj53/VXj9vZuMoav229mggAjCDAST0GAkXgKAiy5QYCNID2nb8vS/ldl0a6BYWfxoy95+ksUAaaorJoljeuPOt6vYceq8vE3jM1PtY9ToChRMliA+WvjWwGmFyNO2aX6yij1P9RuKKnp2ixdS7vNdzN8vPzyy7Koo8OQIwvbWuXixZfMNcPHURVm3U3NNhSytWeTrAkgwCISXymahElmAabmgdJdoJPoZVtTr3mEnKjKLjURvprjy3dCfDtqe12/uuRn5g5DgI0MdSfko0eOSEOD63eA69+eukuvmpfx9u3bZgs969evk/y8XHn//ffNJW4QYPGZjpwF0po3f9hZmNvi6QsBRiIddb625TVrz8VQ05XdZvSFACORzhN7T0n/tsfk0JYDw865g08ZfSHAkhsE2AiiBFZT99YRZ8G6A0Z/iSTArly5IlnZedJ1+LVB71uosVfoWFVB2mohf9U+hhiz2io55R6a6JBeftq45ZZrmSnBtPsdVO2lHlsCzRklS9X50rH9bNA09uyUadOz5ZlnnpFXX33Vk/fee898d0eO+rK2Y/t2ycyYKsVFhXL48GPy/fffmWvDgyHG+q9Kq98hkBEMAgwB5nOhT6IbdcHpi5rgfsPs1Y52apjjB287ZZBCzSNmbxcooyXAlNxSkkvJLvXvTckvJcHU52sorF61SoqLi4ybmPiCAIu/KBnQUFI34jQW1xv9IcBIJNOe06I9/4Ya63xFgJFIRsmvVYtXhiVKgiHAkhsE2AjSsnqvVmgNJ8tPvJ1QAkyhpErBzLna9y6siRXZoZ6HZz4qb5T8CvVcaehaL8UlpbJ69Wo5cODAoNy8edN8d8PHU2fPSm3tHGOozurVq+Sdd0b4xVHdRc0aR6QqwYIMgSSRCQJMf9FPRjeqcktdvOru9uhvTi/dnGGqvaoS29e5U7uNPZEUYGoYoxrOqIY1qs9MNcxRDXdUwx6HyrVr1+S3334zHzlBgMVf5hU1aAXBcKIqcxBgJJJpLpinPfeGEyXTEGAkktnfu1crs4YTVQmGAEtuEGAjyPwVO7QSYzhZdvSNhBNgijVr10pl0xLt+xe2xIAAU1Vl3vnDnFHDZHXHXJeymdXS1bVYK79UnnwyPHdT0/HWm2/KypUrDHFSXzdXzp172lwTnH/84x/mT27uGpPiu7OxZxECLApBgOkv+snoRVV4+UPJLN02VtR6f3zzxTfabayEW4CpCevVxPVqAns1kb2a0F5NbK8muI8UCLD4CwIMARZPmV/YqD33hhM1dBcBRiKZPRt2aWXWcIIAAwTYCIIAC42GxiaZ1blF+x4mQ5Ycell7zH1TWdMg85tbtOLLSiQFmMU333wjhw4dlMKCfOMLn7o1/2effWau1fPRRx9JTc1sefDVV+YSL/7vAkkiGQSY/qKfjF4CcWrzce02VtSQR3+oajDdNlZGKsDUjUPOP/OMLF2yWFImTZRs10Xy+nVr5ZVXXjZbRB4EWPwFAYYAi6cgwBBg8RQEGIQTBNgIYhdgSzbuM9+90FDt7fIjkQXYl19+Kbn5BdKw7oj2fUz0hCLAqhtaZXZNrVZ62TMaAszOhQsvSuuCFkOmdHV1ytUrV8w1g9m2rU8KCwsGDQVCgEUnCDD9RT8ZvQRCXdDqtrEy2hVg6vfU44+f9nzelRQXGZ9pb964YbYYXRBg8Re7AOus7zCPZGio9nahgAAjkY5dgI30fEWAkUjHV4ANFfu2CDBAgI0gVICFjvoSkZKSKm27ntO+l4kcXwE2VFl6/PjxqAkwi/ffvyebN/fK5NQUqawolxOu56Qb/tO9bKkxEbQdBFh0ggDTX/ST0Yua4F5VcukmtQ8ksdQcYLrhk6of1Z+/ucOshCrAPvrwQ2Ouyrq5tca/l9nVs+TRR/cbX46iDQIs/kIFGAIsnkIFGAIsnkIFGIQTBNgIMtQKsN1HzjpEiD2JLsAUA+fOyYyCEll67E3t+5moCVQBNrd9peTn58umTZsclV7+Ei0BZvHbr7/K6dOnRN31bNLECbJxwwa5c+eOudZNQ32ddHcvMx8hwKIVBJj+op9EJ9efv2YeIS9qmW87JbdCbesvgQTYzZvvyu7du6SyosL4N9I0r1GOHzsWdJj3aHPq1Ekpm4JQiKcMtQJs5/odDolgjxJg1WmVsrJnhdk6trly5RUpnc75Gk8ZagVYoPNVCbCGqXOktrrGbB3bqD9+lBQWaUULic0MpwLM3t4eJcBO7Touha7vX5CcIMBGECrAhs7u3Xskv7xGOg9e0b6niZjhVIA9//zzMSnA7Fy79posW7rE+BI5v6lJnn/uOWO5mgdMzR+2ffs24zECLDpBgOkv+kl0ou7eqENVeqmqrv6VB43/+5s4P5S7P1rxFWDqs2pzb6/k5+fJuLFjpKOj3bj77bfffmu2iD0uXLhARU2cJdwVYOWTi2XPrt3mGRHb3L17R/Kn5WrfFxKbCXcFWE36TFm2ZPAdfGORH374QTKmTNGKFhKbCXcF2IFN+2VuzRzzjIBkAwE2gjAH2PA4duyoZE2fIc1bn9S+r4kWXQXY7Pmdkl9QICtXrtKKLn+JJQFm8cUXX8jevXtkRvZ0yc3NkUf375crr7xiVIidOHEcARalIMD0F/0kOlGT3o+EYJPm26ME2KFDh2TVypWSmTFVpqSnSc/y5fLCCy/Ir7/+avYY2yiBl5+Ro319JDYT7jnAKrJK5MkzZ8wWsY2a+zMzbar2fSGxmXDPAVY5uVS2bOo1W8Q+U9PTZeDgU1rZQmIv4Z4DbNuKLdK1qNNcC8kGAmwEoQJs+Fy8eFHSXL98anv2ad/bRIqvAGtZ1G2+C6ERC3OAhcr58+dlXmODIV/UUEj1//LKKgRYFIIA01/0k+jEX2VXqAS786M9eZk5xh1s1RDtq1evmj3EF6o6bfKkSdI1vU37GknsJdwVYPmu8/hGlG7CMBymZ2bJAj574ybhrgBTFavPDAyYZ0PsM3dOrexdt0srW0jsJdwVYF3Ni2T/vqEVr0DigAAbQZgDbGS89957UlE5UyoWrNG+v4kSrwDbIpWz62RObZ3s2bPHUdkVamJNgP34449y3/V5cefObbl27Zq8+OILxl+sezdtkqqZlTLmkYdl7JgxMn/rGe17QyIXBJj+op+MftTwxnAQahXYcO4CGYs01jVI3ZTZ2tdIYi/hnAOseXqDZE3JMFvGB2vXrJGqtDLte0NiL+GcA6wtt1lSJ06S776L3WHlvqgboHTO79DKFhJ7CfccYMX5hXL79m2zJSQbCLARhAqwkfPTTz9JW/siKaltle5TN7Xvc7xHCbD6zrVSVlklLQtajYquYMTDHGALWpoNyaKSMmmiZE+fJuVlpcYd1RYubJMVPT2yYf16qaquoQIsCkGA6S/6yejHfldHVcl188o7hhTTTXav1qu7Pao5v+zr1fbB7v5oJVEE2MkTJ6Qis0T7GknsJZwVYHlpOXEzAb7Fy5cvS8FU5gGLl4SzAqw8o0TmVsfXfEr37t0zrhd0soXEXsJZAbayY7kUFRSaZwIkIwiwEYQ5wMJHX982yS2ulPZ9L2nf63hO4+oDUlRcLEuWLtVKraEk1irAfvvtN/n999/NR3qYAyw6QYDpL/pJdKLk1StnLsm2pl7Hcl8JpuSYfb2Kmhw/VPmlkigCTE3UrOapac5s0L5OElsJ5xxgWVMy5ebNm+ba+KGsuISqxThJOOcAK5ieLxcuvGiujR862ttlbecqrXAhsZVwzgFWV10rR48cMddAMoIAG0GoAAsvTzzxuEycOFFmdW7Rvt/xlmUn3pHKlh7Jyc2XtWvXeiRWKBVgduJpDjAdCLDoBAGmv+gnsRXfyfFVZZiu3VCSKAJMcfToESmZWqB9nSS2Eq4KsKqiSunqiM/JmV984QXJ4+YNcZFwVYDNKpwpc2tqzTMgvnj3nXckZ3q2PHf4Ga10IbGTcFWAdbS0S1lpqXkGQLKCABtBmAMs/HzyySeyqGuJ5JVUSlPvae37Hg+Zu+JRmeL6N7Rh02a5c+eOR2CNNAgwEmoQYPqLfhJbUZVdatijQv1/w+zV2nZDSSIJMEVFabnMSqvQvlYSOwnHHGA1RdVSkJ8fV5Pf+9LaskDKUou07xGJnYRjDrDa4hopzC+Qc08/bbaKP9avWycL6pq10oXETsIxB1hP53IpLyuX/fuZ/D7ZQYCNIFSARY6XLlyQwuJSKatrl9ad57XvfyymadMpKZ7VIHPqGl1fwN4yXsvHH3/skFiJMgdYqCDAohMEmP6in8RelART4isc8ksl0QSYmqsmPXWy1E+t0b5eEhsZaQXY3OI5xrw0a9askc8//9w8+vHH999/LyWFRTI7vVL7PpHYyEgrwOqL57qOc7EsXbrUuKlVPDN/XpN0ty7RihcSGwlHBdjsqmrp6OiI6z8wQHhAgI0g4RRgy0+8jQDTcOLECcnJK5DimhZp6XtKexxiIY3rj0pBxRypqJotT597xnz2bnwF2EiCACOhBgGmv+gniZ9EE2CKS5cuScrEiVI7ZZb2NZPop2kEAmxO0WwpLiiSxV2Ljd/18SzAFLdv3TLmr6tKK9e+VyT6GYkAU7K2tLBE2lpbjfM13gXYV199JWUlJbKkuUsrX0j0s793r1ZqhRJV+VUza7bMa5xnnK8IMECAjSDtfae1MmuoWbDugNEfAsw/Z86ckaKSMima1SBzVx6Q7pPRv2Pk4sPXZPaS7ZJbUiW1dQ1G1ZoOBBgCLBoZlgB7cFX6B+6aD+zclYG+Add/h87dq1flgflzKNwd6Jermg1C7QcBRhJRgCneeOO6ZGdmSeXkUu3rJtHNgvwmrSwIlvL8MsnPy5Oe5cuN3/NHjhyRX375xTzq8cuHH34oM8srpTglX7qmt2nfMxK9LMxt0Z6PwVJZUGFUKlqyVp2vP/74o3nU45dvv/3WGL47v3aenN33hFbCkOjlib2ntHIrWDpbO6WirFzaFy70fJeK9z8wwMhBgI0wnXufM0TYcLNo14Ax/FH1hQALzksvXZCOzsWSkpoq5Q2doz5PWPeJd6R+zWEpqWmWtPQp0rNyjbz++uBb+dtRF7InT570fPCOJPH4VwsEWHQSXgE2XO7KQH84BFjo/SDASKIKMIW6cG9rXiC5mdkyJ71K+/pJ9NKW1ywtBU0hpTZ3tpTmF8usyio5duyYXL582fgd//XXX5tHO/5R1z8rupdLRtoUmUU1WMxlKOdrXe4cKc8vldKiEtm/f79xvqok0vmq2L59m6RPnmwMiXz2sQGtjCHRyandx41KMDUcMlh6ezZKfU2dIWv7tm5N2PMVhgcCLIaCAAud7777Tp54/HGZXVsvkyenSXF1o3H3yNYdz2jf2+Gm5/E70rzlSanu2GAMcUxJSZUFbe3y3LPPyu+//24+m+Cov46pC9tXX3112FG3RI/HvwojwKIThwC7OyB9fX1GDL/lI7o80slYPiADZts+TxtnBdjdAXO9K/02W/Xgar9neV//VblqtTP78bedd7lr3xoB5lmv6cf7HN0gwEgiCzCLq1evypxZsyUrfaoUpuRJ3ZTZ0pLZIB3TWrTvCYluFk1bIAtcn0szJ5dJxdQSmZ6WKfnZuXL2TPxVdQ+Hm+++K63zW2RK6mQpSsuTOemzpDmjXtqzmrXvF4luOqe1Gr9HG6fWSlVGueRMnS7TMzLl2JGj5hFNbNTIjZU9PZKWmioN1XWyael6ObzloJzZe1orZkh0o0Tl6V0n5OCm/bJqUY/MKp8pmVOnyqP798tvv/1mHlUAL34FmPrypL7sx2MmTJigXR4P6d2EABsqSi69fPmy8VebiqpqmZyWJjlFFVI6t01mLlwv9WseM+YPa9v9vCx69LIs7n9dlp14R5Ydf1u6Dr8mHfsvSduuZ6V561lRd2+salsjpXNaZEZBqUycNElq6xplz959cv3660OSXuAGARad2AWYvarqwQPXD4EEmI/ocjezCTAl02zbKullPFTb2qq01PJ+15d0T+WWv+0cy9V+glSA+fTjfY5uEGAkGQSYhfqidvz4MZlbPUeK8gpkyuQ0SZ04SVImTCQxlDTX9V1+do7MnT1H9u7eY8yRlYx8+eWX8uSTZ2R+Q5OUFZdI5pSpxtx2uveMRC+TJ6VI7vQZMqe6Rrb3bZO33nzTPILJhbqhw/nzz8iSrsVSXVUlOdnZxvk6OSUlIZLq+o6jWx6PKcjLk7lzamXTho1G0QBAILQCLN5JmTRR7t61fSOCpOLvf/+7cfxfeOF5OXjwgCzr7pHa+nkyc1aNFBaXyfQZuZLuuuiampEp2Tl5UlRaLlWui9L6efOle8UqOfTYYbl06aIxfwXCa+QgwKITRwWYIbbcFVNG5VUAATZgt093B8xKLa8Ac1R52fv0tLXjFVf+tvOIMJNgQyB92/vuFwFGkkmA6fj1119JjAX8oyo0SGwF/PPHH39o37N4jLpO/OSTT7Tr4ikAQwUBBgARBQEWnTgEmIVVpeWo1rJVXTmWK7ekrwAbLLpc+Gyr2vWp4ZTWMn/bGe2sz+sHcrWfCjAysiS7AAMAAAiGuk5Uo74Akg0EGABEFARYdOIcAumtunLLIiWarGW2ebcMidXvqRZzDk3UzwHm7VNtbq/yUu3Vdq6fTXnlbzvvcte+/Qkwf/3Y7ZcLBBhBgAEAAAQGAQbJCgIMACIKAiw60VaADRunAItlEGDxna7sNuPOZCNJwbQ8BBgAAEAAEGCQrCDAACCiIMCik7AJMDXkUFNpFQ3+8Y9/mD/5BwEWv1Hyq7G4XhpK6kaUsuJSuXjxonlGAAAAgC8IMEhWEGAAEFEQYNFJeCvAos/evXtk7JhHpK9vq/tOln5AgMVv2nNatEJrqFEC7NixY+YZAQAAAL6s6OlBgEFSggADgIiCAItOEk2AKa5de00WtLQEFGEIsPiNGr6oE1pDjRJgjz32mHlGAAAAAAC4QYABQERBgEUniSjALAKJMARY/AYBBgAAAACRBAEGABEFARadJLIAs/AVYd9++y0CLI6DAAMAAACASIIAA4CIggCLTpQAa2xokPKy0oRPXm6OTJo4Qaakp2kFWGtmk0xLTScxntzM6VJcUOjJvXv3guZ9Mx/ce19qiqoRYAAAAADgFwQYAEQUBFh0ogTYjTfekBdffDGhoybHr5pZKWMeeVh27typFWA5aZlSNSdTeraUkhhO58pyaWqt9GTbrrUhZcu21bJ+w0opLS2UooJ8KSksRoABAAAAwCAQYAAQURBg0UmiD4E0hj8uGDwPmK8Aq5paKrm5abLvTK08dr6exHC2HJorXStrPHnn1vWgsbdXaWgul5ycGdKzfLlxPgAAAMBg1F0gf/jhB/MRQPKAAAOAiIIAi04SVYD5E18WdgGmhj5OTpkgvQertMKFxFZ8BdjpsweCxt7eSmtnleTmZXMdAAAA4Ad1nfjX+/fNRwDJAwIMACIKAiw6STQBdvv27YDiy8IuwKZNTpfWJQVa2RK+FErBQxNliXYdGUp8BdjLrz43pNi3bVtSLmVlxeZZAQAAAHYQYJCsIMAAIKIgwKKTRBNgr7z8srzyysvy008/mUv0WAJMDX0sLp2qFS0kNuMrwJ6/+OSQYt92zbY5kpOXLhdfesk8MwAAAMACAQbJCgIMACIKAiw6STQBFipKgNVNqfY79HHzwv+UCZP/Ux5SVVuHsmRCRaFn3ZKK/5S6Q66f1XJXmwkPPeRq54pqo1tmbGerAPPbRvVtLnO1LbD2Y64j7vgKsKefPRY09vb2KAGmJtbftHG9eWYAAACABQIMkhUEGABEFARYdJKsAixvRo5kTk7zO/RRCTCPmAokwDzDGmdK3WTX8o2aZYbE8hFgujYbJzr3+RACTBdfAfb6m5eDxt7eHiXA1u6ukOaWevPMAAAAAAsEGCQrCDAAiCgIsOgkWQVYxtR0KS6dohUsKkYF2MKZ7seBBJjvciXAdG19BZimjar+KtjoXubcltjjK8COnNoxpNi3VQJM3fkzNXWieWYAAACAhZJf3AUSkhEEGABEFARYdJKsAiwlZbwx9E0nWFQQYLEbXwF274ObQ4p9WyXAVJ+pqRPMMwMAAABg9Pj888/l+vXrJISMprtBgAFAREGARSfJKsCmZ02TCRPGDJIrVgYJsMlZstlYp0RWZAQYQyBDi68A27F/ZdDY29ujBJiaA66kJN88MwAAAAAix81335WDBw9IW1ubZGZlGtfi48aNJSFEvVcTJ06Qurq5sm1bn7z00gXzXQ0/CDAAiCgIsOgkWQWYmgQ/JyVLSsr1wyAdAswV7eT04RZgxs/mfiZnSZ1tOfHGV4B99fXnQWNvb481Cf6y7i7zzAAAAAAIP888M2CIG3XtPXnGdEkpL5Xxc2tkQvsCmdi9mISSrnYZ31gn4ypKZUJOtowdO0YKCwvk2LGj8vPPP5vvdHhAgAFAREGARSfJLMCaM+oldcKEgEMhoxebMCOO+AqwkUQJsJauAu4CCQAAABHh5MkTkpGZIRMnTZQUJW7aWvRyhww9iztk3MxymTQlXSZMGC/79u013/WRgwADgIiCAItOklmAtWbOk4apc2TihDHGROg62TKqUUMgjSozd+zzgRFvwinAVmyukYLC6VwLAAAAaOAOkMPnww8/lPnz58v48eNkbO4MmbisSy9xSFgyrrhQxqdMkjm1c+TevXvmURg+CDAAiCgIsOgk2QXY4ukLpWhyrt+hkCT2cvBcvVZmDScNLcWyfsNq86wAAAAAO+o6EQk2dI4c6XcPdSzMlwkdrVphQyKQrnZDNj7yyMNy4sRx82gMDwQYAEQUBFh0ggBbaGTqpJQYHQpJdFFVYD2b5kj3+pphp3VJqWRlpXNhDwAA4AcE2NDZuXOH8b6Nr5mllzQk4hk/u8o4BkePHDGPytBBgAFAREGARScIMLcAa81sMoZC7jg+WytcSOJE3fWxtmm6pKaMl3PnnjbPCAAAAPAFATY0NmzYYNytUE3UrhMzZPQyvna2cf6eOD68SjAEGABEFARYdIIAcwswFTUUMisrxRgOSRIv6thOGD9GJowbIwVp2ZKbMUPefvtt84wAAAAAXxBgobNy1UoZP3GCTJjfoBUyZPQzfk61cQ6fPn3KPEqhgwADgIiCAItOEGBeAaZSnVZJEjTqhgcd01o8xzo/MxcBBgAAEAAEWGicPHFCxox5RCa0NGlFDIle1HDIsWPHyMcffWQerdBAgAFAREGARScIMKcAI8kTBBgAAEBgVvT0IMCC8O677xrX00q06AQMiYHk5UjjvEbziIUGAgwAIgoCLDpBgOnlCEn8IMAAAADig7sD/XL1gfkgBIbafiSUlZfJpOJCvXghMRF1J85x48fJsWNHzaMWHAQYAEQUBFh0ggDTyxGS+EGAAQAAxAexKsD27t1jDK+buKxLK1702SEnvjY7MLgj67TtnFl35WWp1SwnocW4K+fECfLzzz+b73tgEGAAEFEQYNEJAkwvR0jiBwEGAAAwfB5c7Zf+/n7p6xsQ9Y367kCf62d3+m32SbWzlvf1XxW1xt62b8D9fdx/fwMyYBNa/vbjr70d3X5dCz3LrEWh8Le//U0mTZpoTLSuEy76PC5XXNteOWNbduaOa0kwCeba7msE2IiTniZHj4ZWBYYAA4CIggCLThBgejlCEj8IMAAAgOFjiC27RLLZI7XOePjgqvSb0kvhkVy2tkpKqYf++7srA32m0PK3H3/t7ajn4mnzQK66nodqY68We/DAdyP/7N+/T1IzM/SixV/O3JFPr+wYtLz2ygP38t0vy6d3H/csX3f3gZzYrf5v7tRcp9p7MMWYp43C6sPo744h3RRqH552NqFm31b3/BIl42ZWSF5+nvlKA4MAA4CIggCLThBgejlCEj8IMAAAgOFjyCzTHBnyyqqsMmOsuzvgqNJSeKSVhdnGtz97G0tS+duPv/a+OLc32ygxZusrFNQwutTUFPewOo1o8RclrhzVX1YsMeZHgDkqwFQbm7wy5NnXruft2M6sMlNtPdVlzuozTxtVgWbb1u9zTIQsWSTjxo2V559/zn0gA4AAA4CIggCLThBgejlCEj8IMAAAgMC0ty+UH374wXzkxC6sdKLLwKcCTLUz5JPNVtkrwOz9edt4q7X87sdfexuO/nVtfJ9rAJ55ZkAmTU7VS5ZAGWYFmEOAafoYJK20Qk3NPeYdamkJMLWtL7rnmCgZW5gvnV2d5iv1DwIMACIKAiz0LD/x9rDTc/q2oy8EmF6OkNhMV3abdI4g9r4QYAAAAIFR14l/vX/ffOTEKZTcIstbXeWdT8tZdTV4vjBLXPnvz7XcJqv87cdfew+2Si/VRs0Tpra19+dxaEFYunSJTCwq0AqWwAkyB5ijuku1DV4B5t7ehb8KsCACzJ+US9SMr50t6VOnuN+zACDAACCiIMCCR8mrBesOSFP31hGldeNhQ4apPhFgTsFCYjetefOlsbheGkrqhp15RQ3SkbPA6A8BBgAAEJhAAiyZSZ+SLuPn1mgFS/AoEWV2ZGCfAN++7o5csVeAqUWm+HJWbbm3V0LLgyW9QhFgvtu6cAi6BMuERW3Gef3++++br1YPAgwAIgoCLHg69z6nFVrDiepL9YkA08sWEltZNKNVK7SGk+YC93FHgAEAAAQmmQTY5cuX5Z13gl8XvPPOO8b7MrGrXStYSOxnXHqanDp1yjyiehBgABBREGDB07H9rFZmDSeqL9UnAkwvXEhsRVVt6WTWcKKqwFSfCDAAAIDAJJcAuySzqmbKtKws6e8/LP/4xz/MNU5OnjghadnTtGKFxEfGFuRKz4oe84jqQYABQERBgAUPAix8IMDiKwgwAACA0SeZBJjF+fPPSJUSYdP0ImzXrp2SmperFSskPjKutFhaWxeYR1QPAgwAIgoCLHh8Bdjq7YeHFPu2CDAEWDzFV4DNK2+QlW09IUe1R4ABAAAMDXUHSH93gUx0LBE23UeErV61UsYW5GnFComPjKuqkErXsQ0EAgwAIgoCLHh8Bdj7H98fUuzbIsAQYPEUXwHWPqdN7t2+F3JUewQYAADAyLh+/fqg+Ps+rSrHdO39CTVd21joe/euXVJUWCBZWZly4cKL0tg0T8aVlWjFStAYk9LfcU9o70LdfdEzAb3tzo72Sentd2jUTnRv3QXSxeA7P6pt3BPpq4nzP/1aTZ4/eNJ87z5sd5tM4IyfUy0zcnPMV68HAQYAEQUBFjy+Amz3kbNBY29vDwIsTxqn1g4SLSQ24yvA5lfOk53rdwTMorntjm2sIMAAAACGR2VFueTm5DjSUF9nrnXy9FNPDWqroqSSDl3b9vaF5lonx44d1bbX9a2kmK7tih79HFB79+4Z1DYrM9OQYGrYXGlZqYybNVMrVoJGySnPXR/dd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<p><a href="/eda/modelEditor/index/1587" target="_blank">View experiment diagram</a> | <a href="/eda/modelEditor/index/2770" target="_blank">Use this diagram as a template</a></p> <p>An experiment is conducted to test the hypothesis that exercise has an effect on neuronal density in the hippocampus. To test this hypothesis, ten female and ten male mice are randomised into two different levels of activity: no running, or running for 30 min per day. After three weeks, mice are euthanized and histological brain sections are prepared; four slides are prepared from the hippocampus of each mouse. Neuronal density is assessed by counting the number of neurons on each slide.</p> <p>Five mice of each sex are randomly allocated to each of the two treatment groups; this ensures that the groups are balanced with respect to treatment and sex. The allocation sequence is generated within the EDA and emailed to a colleague who will code the histological slides. The treatment allocation cannot be concealed as the investigator can see whether the wheel in the test cage can turn but the measurement is carried out blind and each slide is individually coded so that the animal they came from and the treatment group cannot be identified. </p> <p>In this experiment there are two variables of interest: Exercise, which has two categories: no running and running, and sex, which also has two categories: male and female to test the main hypothesis that exercise affects hippocampal neuron density and the secondary hypothesis that this varies between males and females. As the four histological slides were randomly selected from each mouse and we are not interested in the effect of the slide number, this is considered a nuisance variable and it is nested within the animal as each set of four slides are specific to each particular animal. This variable is not included in the analysis, as the neuron counts for each slide are averaged for each animal; thus a summary measure per animal rather than the raw values are analysed. If the data fits parametric assumptions, it can be analysed with a factorial ANOVA with two factors of interest (2 way ANOVA with interaction). The analysis is also carried out blind, the data is organised by the person who coded the slides into ‘Group A’ or ‘Group B’, so that the person doing the analysis knows which slides belongs to the same animal and which animals are grouped together but not what treatment they animals received.</p> <h3>Keywords</h3> <p>Randomisation with sex as a factor of interest | Nuisance variable | Nested variable | Two-way ANOVA with interaction | Data averaged per animal | Multiple animal characteristics</p> <h3>References</h3> <p>This experiment is loosely based on example 3.8 (Bate and Clark, 2014)</p> <p>Bate, ST and Clark, RA (2014). <a href="https://doi.org/10.1017/CBO9781139344319" target="_blank"><i>The Design and Statistical Analysis of Animal Experiments</i></a>. 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