video-coding/NYU020-timeline.html at master · PLAY-behaviorome/video-coding · GitHub

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<!DOCTYPE html>

<html xmlns="http://www.w3.org/1999/xhtml">

<head>

<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1">

<link 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<h1 id="timeline-report">timeline-report</h1>
<p>Rick Gilmore<br />
2018-04-06 12:06:49</p>
<h2 id="purpose">Purpose</h2>
<p>This document generates timelines for the PLAY project participants from CSVs generated from the Datavyu files.</p>
<h2 id="import">Import</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">fl &lt;-<span class="st"> </span><span class="kw">list.files</span>(<span class="dt">path =</span> csv.dir, <span class="dt">pattern =</span> <span class="st">&quot;</span><span class="ch">\\</span><span class="st">.csv$&quot;</span>, <span class="dt">full.names =</span> <span class="ot">TRUE</span>)</code></pre></div>
<h2 id="clean-single-datavyu-file">Clean single Datavyu file</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">sub.id &lt;-<span class="st"> </span>params<span class="op">$</span>sub.id
fn &lt;-<span class="st"> </span><span class="kw">paste0</span>(csv.dir, sub.id, <span class="st">&quot;.csv&quot;</span>)
dv &lt;-<span class="st"> </span><span class="kw">read.csv</span>(fn, <span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)

<span class="co"># Locomotion</span>
dv <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(., babyloc.ordinal, babyloc.onset, babyloc.offset) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(., <span class="op">!</span><span class="kw">is.na</span>(babyloc.ordinal), <span class="op">!</span><span class="kw">is.na</span>(babyloc.onset), <span class="op">!</span><span class="kw">is.na</span>(babyloc.offset)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">gather</span>(., <span class="dt">key =</span> event, <span class="dt">value =</span> time.ms, <span class="op">-</span>babyloc.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">event =</span> <span class="kw">str_extract</span>(event, <span class="st">&quot;[onsetf]+$&quot;</span>)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">ordinal =</span> <span class="kw">paste0</span>(<span class="st">'b.loc.'</span>, babyloc.ordinal)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">person =</span> <span class="st">&quot;infant&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>babyloc.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">arrange</span>(., time.ms) -&gt;
<span class="st">  </span>dv.babyloc

dv <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(., momloc.ordinal, momloc.onset, momloc.offset) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(., <span class="op">!</span><span class="kw">is.na</span>(momloc.ordinal), <span class="op">!</span><span class="kw">is.na</span>(momloc.onset), <span class="op">!</span><span class="kw">is.na</span>(momloc.offset)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">gather</span>(., <span class="dt">key =</span> event, <span class="dt">value =</span> time.ms, <span class="op">-</span>momloc.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">event =</span> <span class="kw">str_extract</span>(event, <span class="st">&quot;[onsetf]+$&quot;</span>)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">ordinal =</span> <span class="kw">paste0</span>(<span class="st">'m.loc.'</span>, momloc.ordinal)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">person =</span> <span class="st">&quot;mother&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>momloc.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">arrange</span>(., time.ms) -&gt;
<span class="st">  </span>dv.momloc

dv.loc &lt;-<span class="st"> </span><span class="kw">rbind</span>(dv.babyloc, dv.momloc)
dv.loc<span class="op">$</span>domain =<span class="st"> &quot;locomotion&quot;</span>

<span class="co"># Objects</span>
dv <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(., babyobject.ordinal, babyobject.onset, babyobject.offset) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(., <span class="op">!</span><span class="kw">is.na</span>(babyobject.ordinal), <span class="op">!</span><span class="kw">is.na</span>(babyobject.onset), <span class="op">!</span><span class="kw">is.na</span>(babyobject.offset)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">gather</span>(., <span class="dt">key =</span> event, <span class="dt">value =</span> time.ms, <span class="op">-</span>babyobject.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">event =</span> <span class="kw">str_extract</span>(event, <span class="st">&quot;[onsetf]+$&quot;</span>)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">ordinal =</span> <span class="kw">paste0</span>(<span class="st">'b.obj.'</span>, babyobject.ordinal)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">person =</span> <span class="st">&quot;infant&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>babyobject.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">arrange</span>(., time.ms) -&gt;
<span class="st">  </span>dv.babyobj

dv <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(., momobject.ordinal, momobject.onset, momobject.offset) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(., <span class="op">!</span><span class="kw">is.na</span>(momobject.ordinal), <span class="op">!</span><span class="kw">is.na</span>(momobject.onset), <span class="op">!</span><span class="kw">is.na</span>(momobject.offset)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">gather</span>(., <span class="dt">key =</span> event, <span class="dt">value =</span> time.ms, <span class="op">-</span>momobject.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">event =</span> <span class="kw">str_extract</span>(event, <span class="st">&quot;[onsetf]+$&quot;</span>)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">ordinal =</span> <span class="kw">paste0</span>(<span class="st">'m.obj.'</span>, momobject.ordinal)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">person =</span> <span class="st">&quot;mother&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>momobject.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">arrange</span>(., time.ms) -&gt;
<span class="st">  </span>dv.momobj

dv.obj &lt;-<span class="st"> </span><span class="kw">rbind</span>(dv.babyobj, dv.momobj)
dv.obj<span class="op">$</span>domain =<span class="st"> &quot;objects&quot;</span>

<span class="co"># Speech</span>
dv <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(., babyvoc.ordinal, babyvoc.onset, babyvoc.offset) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(., <span class="op">!</span><span class="kw">is.na</span>(babyvoc.ordinal), <span class="op">!</span><span class="kw">is.na</span>(babyvoc.onset), <span class="op">!</span><span class="kw">is.na</span>(babyvoc.offset)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">gather</span>(., <span class="dt">key =</span> event, <span class="dt">value =</span> time.ms, <span class="op">-</span>babyvoc.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">event =</span> <span class="kw">str_extract</span>(event, <span class="st">&quot;[onsetf]+$&quot;</span>)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">ordinal =</span> <span class="kw">paste0</span>(<span class="st">'b.voc.'</span>, babyvoc.ordinal)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">person =</span> <span class="st">&quot;infant&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>babyvoc.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">arrange</span>(., time.ms) -&gt;
<span class="st">  </span>dv.babyvoc

dv <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(., momspeech.ordinal, momspeech.onset, momspeech.offset) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(., <span class="op">!</span><span class="kw">is.na</span>(momspeech.ordinal), <span class="op">!</span><span class="kw">is.na</span>(momspeech.onset), <span class="op">!</span><span class="kw">is.na</span>(momspeech.offset)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">gather</span>(., <span class="dt">key =</span> event, <span class="dt">value =</span> time.ms, <span class="op">-</span>momspeech.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">event =</span> <span class="kw">str_extract</span>(event, <span class="st">&quot;[onsetf]+$&quot;</span>)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">ordinal =</span> <span class="kw">paste0</span>(<span class="st">'m.voc.'</span>, momspeech.ordinal)) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(., <span class="dt">person =</span> <span class="st">&quot;mother&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>momspeech.ordinal) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">arrange</span>(., time.ms) -&gt;
<span class="st">  </span>dv.momspeech

dv.voc &lt;-<span class="st"> </span><span class="kw">rbind</span>(dv.babyvoc, dv.momspeech)
dv.voc<span class="op">$</span>domain =<span class="st"> &quot;speech&quot;</span>

dv.combined &lt;-<span class="st"> </span><span class="kw">rbind</span>(dv.loc, dv.obj, dv.voc)
dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">arrange</span>(time.ms) -&gt;
<span class="st">  </span>dv.combined

<span class="co"># Cut by 10 min segments</span>
ms.sec &lt;-<span class="st"> </span><span class="dv">1000</span>
sec.min &lt;-<span class="st"> </span><span class="dv">60</span>
dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">mutate</span>(<span class="dt">minute.block =</span> <span class="kw">cut</span>(time.ms, <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">10</span><span class="op">*</span>sec.min<span class="op">*</span>ms.sec,
                                       <span class="dv">20</span><span class="op">*</span>sec.min<span class="op">*</span>ms.sec,
                                       <span class="dv">30</span><span class="op">*</span>sec.min<span class="op">*</span>ms.sec,
                                       <span class="dv">40</span><span class="op">*</span>sec.min<span class="op">*</span>ms.sec,
                                       <span class="dv">50</span><span class="op">*</span>sec.min<span class="op">*</span>ms.sec,
                                       <span class="dv">60</span><span class="op">*</span>sec.min<span class="op">*</span>ms.sec,
                                       <span class="kw">max</span>(time.ms)),
                            <span class="dt">labels =</span> <span class="kw">c</span>(<span class="st">&quot;0-10min&quot;</span>, <span class="st">&quot;10-20min&quot;</span>,<span class="st">&quot;20-30min&quot;</span>,
                                       <span class="st">&quot;30-40min&quot;</span>, <span class="st">&quot;40-50min&quot;</span>, <span class="st">&quot;50-60min&quot;</span>, <span class="st">&quot;60min+&quot;</span>))) -&gt;
<span class="st">  </span>dv.combined</code></pre></div>
<h2 id="plot-of-nyu020-full-session">Plot of NYU020 full session</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="co"># filter(minute.block == &quot;2nd10&quot;) %&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img 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" /></p>
<h2 id="plot-of-nyu020-0-10-min">Plot of NYU020 0-10 min</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(minute.block <span class="op">==</span><span class="st"> &quot;0-10min&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img 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" /></p>
<h2 id="plot-of-nyu020-10-20-min">Plot of NYU020 10-20 min</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(minute.block <span class="op">==</span><span class="st"> &quot;10-20min&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAHgCAYAAAB6jN80AAAEDWlDQ1BJQ0MgUHJvZmlsZQAAOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9oU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvuuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTvYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8eUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiYMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpkhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thKbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpXzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477hLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549HQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgYhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjzhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VVBg/m8AAEAASURBVHgB7N0JnBTF3fj/78weLLDcyKncInKLCPwVI6jB4AkiKiGJeYwalQf1pyaSGHx8jMYYb0UeL9SHiEc0KjzxwIDiA48BUTkUkRuFBBC5b9id+de3lprtmZ1rd3uG3eXTvJbp6a6qrnp3z+x3u6urA2EzCRMCCCCAAAIIIIAAAlkSCGZpO2wGAQQQQAABBBBAAAErQADKgYAAAggggAACCCCQVQEC0KxyszEEEEAAAQQQQAABAlCOAQQQQAABBBBAAIGsChCAZpWbjSGAAAIIIIAAAggQgHIMIIAAAggggAACCGRVIDerW2NjCCCAAAIIIIAAAkdE4KWXXpJXX301K9vu37+//Pa3v024LQLQhDSsQAABBBBAAAEEao7A0qVL5b333pMzzjgjo4367LPPUpZPAJqSiAQIIIAAAggggEDNEGjUqJG8//77GW3MkCFDUpZPH9CURCRAAAEEEEAAAQQQ8FOAANRPTcpCAAEEEEAAAQQQSClAAJqSiAQIIIAAAggggAACfgoQgPqpSVkIIIAAAggggAACKQUIQFMSkQABBBBAAAEEEEDATwECUD81KQsBBBBAAAEEEEAgpQABaEoiEiCAAAIIIIAAAgj4KUAA6qcmZSGAAAIIIIAAAgikFCAATUlEAgQQQAABBBBAAAE/BQhA/dSkLAQQQAABBBBAAIGUAgSgKYlIgAACCCCAAAIIIOCnAAGon5qUhQACCCCAAAIIIJBSgAA0JREJEEAAAQQQQAABBPwUIAD1U5OyEEAAAQQQQAABBFIKEICmJCIBAggggAACCCCAgJ8CBKB+alIWAggggAACCCCAQEqB3JQpSIAAAggggAACCCBQowWeeuop0Z/yTNOnT5djjjmmPFkiaQlAIxTMIIAAAggggAACR6dA8+bNpVevXuVqfH5+frnSexMTgHo1mEcAAQQQQAABBI5CgWHDhon+ZGsiAM2WNNtJKLBlS1gOHgxLixYBCQQCCdOxAgEEEECgcgIrVoTkn/8slvr1w7JnT9h+53bokCutWgXFrWvTRuzyvXtLt5WfH5BGjQJy6JBIYWFANm4My6ZNRVKnjpjv7pL8pamZq84CoVBIlixZIqtXr5bi4mLp3Lmz/anM2c54HgSg8VRYllWBzZtD9ouwefNc86WX1U2zMQQQQOCoElixoki+/LLI9NvLke3biyUYDEhBQfBwAFqyrrg4zywPy5YtoYhN3boBadcuKBqUtmihwWqR/WnYMCgasGgAy1T9BRYtWiQ333yzLF68OKox7dq1kwkTJkj//v2jllfmDQFoZfTIiwACCCCAAAII1ACBbdu2yejRoyU3N1fuvfde6dq1q51fsWKFTJw4UYYPHy5z5syRDh06+NJaAlBfGCkEAQQQQAABBBCovgJTpkwx3eEOyowZM8xZ7haRhvTr108uuugiOeuss2wg+sADD0TWVWaGALQyeuRFAAEEEECgmgl8+22xfPDBQTn22IDt9zl9+gFp0iRg+oaGZN++sO3r2alTrjz55F4ZMaKWvPzyAbnkklryX/91UJo3D8qddxbaFq9fX2y7Te3fH65mAlQ3noD2+zzzzDOjgk+XrrCwUC644AL5+OOP3aJKvx7RAPTAgQM22q5Xr16lG0IBCCCAAAIIIJBaYPv2sCxYUCS1auXKypXF8q9/lfb1bNw4IN9/H5ZOncRcbj0k55xTS2bPPiSDB+fJ//zPQTnxxJzIBrZtC0vTpmFzYxIBaASlGs80a9bMHA8rE7Zg165d4me8ltVew3pq95lnnjF/Ye2zDXzvvffk+uuvT9hYViCAAAIIIIAAAghkXmDgwIH28vusWbPKbOzLL7+UV199Vfr27VtmXUUXZPUM6Lp162Ty5Mm2k2tFK0w+BBBAAAEEEEAAAX8FBg0aZM54nyMjR460/T27desmOvTS8uXL5e2335a2bdvKmDFjfNto0gC0qKhI5s2bJ6eccoo5Xb9ANm/ebKNf7Zyq40Npf4GTTz7ZDL/QKqpCa9askS+++MIM7VAgffr0Mafom5pT9Idk4cKFNt3cuXPlpJNOiuTZsWOH3Y4u0PKaNGkSWbdnzx6ZP3++GS5iu70jS8ejcpNuQ+uydOlSycvLs/XUu7eYEEAAAQQQQAABBNIX0Djqueeek7vuust0u5gtH330kWgc2KBBAxk1apSMHz/ejPtqBn71aUoare01A36NGzfOjvukAaTeov/EE0/Yirz55pvSpUsXeeihh+SOO+4w/UMG2yq99NJL9lmivXv3lq1bt9r1d955p/To0SPSeXXmzJnSunVrm17LvO6662xkvWrVKlu+PotUA8u1a9fKLbfcYiNwHYPqkUcesWdPr776apv36aeftq+aLycnx54eJgC1JPyHAAIIIIAAAgiUS0BjKA1AddJuk9rv03tSsFyFpUicNAB1edu3bx857ap3Qb311lvy2muv2fGhdGDSDz/80AagGjBqUKgBqd6uHw6H5bHHHpM//vGPNjjU/p6ffPKJ3H777TaK/vrrr0XPfur67t2720hby9ezrnrLvwa3esbzD3/4g30qg3aOvfLKK+X000+3wa/WT4NcrY8GoPrjpiFDhkT6mp566qly3333uVW8IoAAAggggAACCCQQ2LRpk+jVbI2r9Gp23bp1E6Ss+OK0AtABAwZEtqADkB533HE2+NSFevldL5HrpCPn6ylcDRB10scqan+C119/Xb755puoANEmMP81atTIBp/6XiNv7XOwYcMGG3nrJfsRI0bYTrEuvUbin3/+eSQA1Uv28R4PpYGsRu86dezY0WXnFQEEEEAAAQQQQCCOgPb31CvfegneTRrL9erVSyZNmiRt9DmtPk1pBaCNGzeObC4YDErse7dSz0bqpXVvQOgqq30569ev75JGXrVvgXfSaFsf66V9PvUMqp5V3bJlSySJXspv2LBh5H2iU8Njx46NpGEGAQQQQAABBBBAILGAXpHWG5D0+e+//vWvzVBcneyJQT0T+sILL8i5554r06ZNq5pPQnI3J2m/Tj2zqZOerdRJz0LqTUzpThpY6hlRvXyuIG769NNPfY3AXbm8IoAAAggggAACR6vAn//8Z9Hx2fXmo+bNm0cxaPdHvdfnjTfekFtvvTVqXUXf+DoO6GmnnWbPcj7//POyc+dOWb9+ve0rqmct9eynG8BUo2l3eTxRxfVMqPbj1Judli1bZs+GTp8+3Z4a1ruymBBAAAEEEEAAAQT8EdCRjTTIjA0+tXR9EtKwYcMiN5P7sUVfA1ANMPWGIe0Tqg+tv+KKK2yfUHcDkJ7V1IfbX3vttaKD0Kea9DK63oSkd73rqd+XX35ZbrvttjLDPqUqh/UIIIAAAggggAACiQV0iCUd1jLR9O2330rLli0TrS738qR9QPWspbcjqpb+8MMPR21EI2L9cVPPnj1toKj9QfWuqVq1arlV9iYkHWJJh3eqXbu2vUlJ73b3Ti5Y1WUacd95553ym9/8RrQPqbfvqa5//PHH9YUJAQQQQAABBBBAoBICZ599tn1YkMZheuLPxVx6xfrZZ5+1g9E/+eSTldhCdNakAWh00vK9cxWPl6u8A5lqEOsNZOOVyTIEEEAAAQQQSC3QoUNQrrpKTwKFzag2Oeb57rlywgk5ZgjEQ2bEmmI7r6WMG1fXjMkdMAOQ17XPgH/22Xrm3oxAZAPt2+eYICVoTiiVLousZKbaCQwdOtT275w4caLo4zjfffdd2wa9NK8nA0ePHm2H2PSrYRkLQP2qIOUggAACCCCAgH8ChYVBOeaYHDPaTLF5DZiHzeSZpxzmmnszxHSbC5gn35T0zuvevSRE6NkzaK5o6lA8QXMFs7QehYUBM+pNICooLV3LXHUU0G6OP//5z+39O1OnTrV3xOvQm3oPjvcJln60jQDUD0XKQAABBBBAAAEEqrnAokWL5Oabb7bjunubok+j1AcP9e/f37u4UvMEoJXiIzMCCCCAAAIIIFD9BXQITb3MrkNg3nvvvfamcZ1fsWKF6GV5vbl8zpw5VXMc0OrPTwsQQAABBBBAAIGjT2DKlCl2iMwZM2aYvr8tIgD9+vWzj0fXR6xrIPrAAw9E1lVmxtdhmCpTEfIigAACCCCAAAIIHBkBvdnozDPPjAo+XU10VCJ9xPlXX33lFlX6lUvwlSakgMoKdO6cY4swT3llQgABBBDIoMCQIfly9tn54r5vzROvzRCJJRt068xVVzvpOu+keXSZeTS4Gaw83zwsJt+udmV50zJf/QSaNWsmK1euTFjxXbt2RR4olDBROVbwK78cWCTNjIB+efEFlhlbSkUAAQS8Ahpc5pu4UV/1Jy+v9PvXrXPfyRqYen808NR1+ury6yvf317h6js/cOBA0cvvs8wQTLHTl19+Ka+++qoZLaFv7KoKvzeHDhMCCCCAAAIIIIDA0SwwaNAgOeecc2TkyJF2vM9u3bqZP1byZfny5XYQ+rZt28qYMWN8IyIA9Y2SghBAAAEEEEAAgeopkGdOhz/33HNy11132adgfvTRR1JUVGTGhW0go0aNMg8kGC/lfZBQMgkC0GQ6rEMAAQQQQAABBI4SAR12SQNQnfQRnNrvs0mTJhlpvenNwYQAAggggAACCCCAQKmAXn7PVPCpW+EMaKk1cwgggAACCCCAwFEpMGnSJHn22WeTtv28886T3/3ud0nTpLuSADRdKdIhgAACCCCAAAI1VKBhw4bSvn37qNbt3btXvv32W1m/fr307NlT9MYkvyYCUL8kKQcBBBBAAAEEEKimAiNGjBD9iTfpIzh/8YtfxB2kPl76dJbRBzQdJdIggAACCCCAAAJHqYCOETp48GB58cUXfRPgDKhvlBSEAAIIIIAAAgjUTIHvv/9eDhw44FvjCEB9o6QgBBBAAAEEEECgegosWLBA9Cd20n6gn376qei4oDfccEPs6gq/JwCtMB0ZEUAAAQQQQACBmiHw97//Xe6///6EjdGnJN10000J15d3BQFoecVIjwACCCCAAAII1DCBX/7yl3LZZZdFtSocDsvnn38u06ZNk02bNkkgEIhaX5k3BKCV0SMvAggggAACCCBQAwT0kZv6Ezu1a9dOLr74YhkwYIA89thj8tvf/jY2SYXecxd8hdjIhAACCCCAAAIIHD0Cp59+usybN8+3BhOA+kZJQQgggAACCCCAQPUU0MvtxcXFZX727NljL8O/99570qtXL98axyV43ygpCAEEEEAAAQQQqJ4CegNSspuQcnNzy/QRrUxLCUAro0deBBBAAAEEEECgBghoH88bb7yxTEv0xqNmzZrJmWeeKR07diyzvqILCEArKkc+BBBAAAEEEECghgj84Ac/EP3J1kQAmi1ptoMAAggggAACCFRxgVAoJEuWLJHVq1fb/qCdO3cW/cnPz/e15gSgvnJSGAIIIIAAAgggUD0FFi1aJDfffLMsXrw4qgE6FNOECROkf//+Ucsr84YAtDJ65EUAAQQQQAABBGqAwLZt22T06NGiNxvde++90rVrVzu/YsUKmThxogwfPlzmzJkjHTp08KW1BKC+MFIIAggggAACCCBQfQWmTJkiBw8elBkzZkiLFi0iDenXr59cdNFFctZZZ9lA9IEHHoisq8wM44BWRo+8CCCAAAIIIIBADRDQfp96p7s3+HTNKiwslAsuuEC++uort6jSrwSglSakAAQQQAABBBBAoHoL6FBLu3btStgIXVevXr2E68u7ggC0vGKkRwABBBBAAAEEapjAwIED7eX3WbNmlWnZl19+Ka+++qr07du3zLqKLqAPaEXlyIcAAggggAACCNQQgUGDBsk555wjI0eOtP09u3XrZodeWr58ubz99tvStm1bGTNmjG+tJQD1jZKCEEAAAQQQQACB6imQl5cnzz33nNx1110ye/Zs+eijj6SoqEgaNGggo0aNkvHjx0udOnV8axwBqG+UFIQAAggggAACCFRfAR2CSQNQnfSOeO332aRJk4w0iD6gGWGlUAQQQAABBBBAoPoK6JOPvMHn5MmT5emnn/atQZwB9YnywIGwbN0aFnMGWw4dEvu6e3fYzrdoETR3jgV82tKRKWbNmmJZubJYWrYMmgMyaIZpCEggkLpNzqWwMJCWwZYtYfNXVzhu+Tt3huTrr4uNbUA6dcqJKq+823GKmm/lypDp5yLm0oLIP/8ZkoYNA+Z9UGrVkjL1WLEiZNIUS9OmIo0bB81PQMzYveLa5+rfqJHIxo0l+9881Uz27QubwXuDUr9+ULSMPXtC0rNnUIJB//8GdHVwx2K8feXShEJh2bw5bNtcq1agTHudk6bfuDEk2i49BtLZ9y5vpl+9ntu2BaLqaf6At59Lt3+8x8muXWH57rtQZL+4Y0EkbI+FoiL1CJrjUc8ElByTseX50Ta13bWr5BisV6/qfFc4K3cc7dwZlm++KbY2PXvm2mPZtd97fOTnB0S/+/QzdfBgwH6OtIxNm9Q1bLOobaNGAfv96PaNK6sir97tZ+v4dD4HDoj5PJe0TT9Drs3xPneJ2qb1//bbYnM8FkvdugHz3RDtmyifLtd6bNgQSvm7RtN99VWx7N0blh49ckz6ks+K7hOttzv2tC56vLvvsG3bQqZuIcnJEfM4xhzz+S/57v3Xv0JRn59kdWRd9RF4/fXXZenSpeYYMF98MZMOQq/L161bZ3933XbbbeYzXfFL8gSgMcAVfbt/f1j0A6n7Yu/ekmDmu+/C9sNep056wVdFt52NfGvXhmTu3EPSpUue+YUt0rx5rglCUm/ZuaQbhG/erMFZOG7527eHZOHCIqldOyDNmkX/oi7vdlzNNZ8GtbrfNKBctKhIWrfOMQFl2AaVse1csaJIvvyyyHTGzjUOYVsX3e+ufa7+BQVB88s6ZPe/BqD6Jd6kSb75pS0mAC0yQVFIuncvMB9iVxP/Xl0d1EkD39g26JZcGtO9x9ZH21y/fiBuWpdendq0cX98+Fffypbk9dy8udjuT1fP/ftD9nPp9o/3ONH9tmxZUWS/uGMhHA7bP7I0r352NVB1x2RseZWtu7PdtKlkW61ahaP+sPKj/IqW4azcd5r+AfLpp4fMHytBe/zrsewmPZ7c8VG3bsnxpXZ794bs50iPRV2vf7DppI7t2gXtd6XbN66sirx6t18S+FWklPLlcT4abH//fdi2zQyVGGlzvM9doi1o/b/4otg8e7vIBH5lfRPl0+VaD/ddk+x3jabTbej3aJs2OfaPYLdPtN7u2HPfDe47bO3aYvNYxiL7h4T+4Vm3bsl3r/6x7v38JKsj66qHwGuvvSbXX3+9rWyO/sURMxUXF9slq1atsq+1a9eWcePGxaRK/y0BaPpWpEQAAQQQQAABBGqkwGeffSbHHHOMOdk015yQ8PyFebi1Gmzu3r3bPhPeDwACUD8UKQMBBBBAAAEEEKjGAj179jRXLArjBp/arDPOOMN0+TB9TnyaCEB9gnTFvPjiftNHQuTKKwvs5dcPPjho+/O49dX5ddUqvUQUkv79c+Wkk8p36Dz99D5zaTF167XbQp8+icv/17+K7eX3J5/ca4aGKO0DoJeate/SzTdXrD/K118Xyamn5pvLtcX2cvorrxyQQYPy4rZzyxbt+3TQXIrKN31Rg7ZP6Ftv7bf10fpr/60OHfLt8o8/PiRDh9aSJUuKzIfXdIo7POkl10xOc+YclPXrQ3L++aYja4JJ2zxv3iHb52zOnEMybFjitFrEV18VmUvS5dvvCTbt++Lvvy/1/OSTg2ZflFpr3zd3vOhxov17f/KTAluH2P2ifXP1OO/VK1feeeeA6StnriebSa1mzjxg+9vp5/vaayt2nNnC4vy3enWx2V/F5nujdpy1R3bRq6/uN2c9RAYPzpfly0u6n8SrkR4fhw4FzfGfZ8YMPCDmZlozpmAtM7D1QXOJOmT2ifanDYvp4SDHHReUDz44YLu7jBxZsi/ilVmeZZ99ZjrfS66cfHL2jtFVq4rkww8PmeMk11za1r6vIendO0/+7/8O2uMl3S42+r3RtGlQtK+9liGS/LMY66J9czWvfvckm/S7a9myQ7avqR7H2p9fL9vr8quvLj323n33gGj/8Fq1gvZ+hoULD9nuN9OmHTDtK92GXp4fOLCkX2+y7bKuegjs379f3nvvPfuTqMZDhw41vyuGye23326HaZo6dao5jip2l3zpkZRoaywvl8Cjj+61N2hoAKp9g6ZOPSA33eTvL6tyVcjHxEuXFtm+QHv31pJrrin9skpnE/fcs0cOdx9Jmfw3v6kjl14aP5l2htebkO6+23S0jTPdcEPFrD//vCQA1fJ79BATsOwzvxACZkDeshvR4FH7gR5/vPaRybVf/N76/L//V0fOOy9f9Mv5pZf22wC05JdjaVl6I1Mmp+nTD8q77x6UH/zA3P2RYNI2P/74Pjn77FwTJBTJKack/zrQNrRqVRr0Jyj2iCzWmzDcpH/09e1b2m4NOr37p1+/3EgAqn0avZPeaDN/vrYzKJMm7Zc77igJQBcsKJIHHyw55nSd3wGofrbee+9glQxA/+u/9smOHWEbgH7xRZH9/HnN3Pznnx8yAWiuDUD1uNe+zxqAvvnmfvOHTpFcfHEteyOjLh86NF8eeECPvXzzGfMnAJ09+6C9mc7VJxuvS5cW2++KcePq2uBa96MGoPr5e+edsjdxJKvTmDF17B86u3aV7XuXLJ+u076Y+kfkVVcl/17Wm+6WLCk2affbIn/2swK7n/QPUW8A+vLL++0NS7p/NKDXm5f0RrKPPjoQ+UxoAcuXF9ubn2xh/FftBfSye+vWrZO2o5HenWamxo0b27SVuZE2+W+cpNUoXamnZPXOqHSfEXrI3Ca+evVq82XR0Nz00Ly0IOYQQAABBBBAAAEEsi5wySWXiP6kM91yyy3pJEuaxpd7cKdPny7XXXdd0g25lZs2bTJ/CV9sH+c0ZcoUt7jCrzosgHaYZUIAAQQQQAABBBConEDIXKb44osvzBXcqfLGG2+YK35f2pOMlSu1bG5fzoCefPLJpl9es7Klx1nyySefmD5AYXN54h3TF6u0n1acpGktmjhxoowePTqttCRCAAEEEEAAAQQQiC+waNEicy/Fzaa73eKoBO3atbN3v/fv3z9qeWXe+BKA6qObaumo3WbauHGjGeNwq+0bMH/+fNM/5JD069fPdlJdu3at6X+yxN5hpev0jiu9bP/999/baFvztWzZ0qbXMnXS9DoswJ49eyyIdnYdMGCA6eCea/Ps27fPjGO4wv4cf/zxNg//IYAAAggggAACCKQvsM08VUVP6Gl8de+990rXrl3tvMZYerJv+PDhpv/wHHOTrRkM3IfJlwB03rx58pe//EVefPFF09l8nj1lq3dTHXvssWbA6802ap40aZINEpctW2buFtxuOmlPNwMRt7Ondn//+9/bhuqI+s8++6xt3BNPPGGbp499yjO9nzVfD3N3iEbnJ554ounA/oC5WWC+DUw1SG3Tpo25KaQ0AP33f//3yHABGuiOHTvWBy6KQAABBBBAAAEEap6AdovU+3lmzJhhRoNpEWmgnkS86KKL5KyzzrKBqMZffky+BKCxFdEbjDSQPOGEE2xjRo0aJbNmzZLLL7/cnh2dOXNm5GH3Tz31lO30euWVV9piFixYIDfccIN5tNgGezZUF2q/0b/+9a/2kv3ChQttMKnLNI9C6ZAA5513XlQ1qtKjAqMqxhsEEEAAAQQQQKCKCejJvDPPPDMq+HRV1PFBL7jgAvn444/dokq/ZiQAbWoelK3Bp07az1PPTu7cuTNuZe+66y4pMs8D1KB15cqV9oyoJtQzqG465ZRTIv1FO3bsaBfv2rUr6R30jz/+uMvOKwIIIIAAAggggEASAb2XR+OwRJPGXemOdpSoDO9yX+6C9xao8xopeyftT6B3VcWb3n//fbnwwgttp1ftW6BjS+mkNyq5yVueXo7XKVF5Lg+vCCCAAAIIIIAAAukJDBw40F5V1ivWsZPeCf/qq6+aMZb7xq6q8PuMnAFNtzY6fqh2dNX+mTo0k07Lly83A0BPSjvA5FJ7utqkQwABBBBAAAEE4gsMGjTIPDziHPNwiJG2v2e3bt3s1WeNy95++21p27atHUIzfu7yLz2iAaie5axdu7a9y0qrrne0a99RnfTu+XQmPTu6bt0689jLveaRYhV7Ck462yENAggggAACCCBQUwX0CvNzzz1n79GZPXu2fdSmdpFs0KCB6L0848eP9zXOOqIBaEFBgXmk4zXy/PPPy3//93/bG5auuOIK+eabb8zzmFfZu91T7Wg9ZaxnTPUu+YcffjhVctYjgAACCCCAAAIIxBHQLpN6b45Oeke89vus6LPe4xQftciXAFT7cOqPTnqrvv54p/vvvz/y9rLLLhP9cZPewa7pdSxQvXlJL6l7HwX16KOPuqT2VYNWjczd9NOf/tQ8N/xSm88tO5Kv+tx3s8/sVFgYMHfol4yPeiTr5Ne2TzwxV7p1yzPjtJb/sLn99rpm/NfUzxHXZxX37Jm4/LZtg9KoUcD8JVbH/FVW2oV5376QbNkSNmfTK9baPn1KMmr52s34uutqS/fu8Qtr3jxojtVaZqzbkmc2t2+fE6mPt/7t2uXIj39c8pzrk08u6bvsaufyuvd+v/7oR/lmX+Ua81Kj2G1om8eOrS116wakU6e8SHti07n32oZWrcr/nGqXP5OvLVuWtvPMM2vZY8Rtr3bt0uNFj5O8vNK03mfGa3o9Rvv1yzNjDwflF78okODhpCedlCt/+lOhGdotZH5cyf696mcrnc+Hf1tMv6Trr68tu3eXpO/RIzfhcaLHR6dOJWCjRxdEPosXX1wgp58eMo9eDtpjUks69tig/OpXtX09nn7wg3yz/ewen1275trviuOOC5qxsAPmhtuS9p9zTr4MGpQfOX5Saev3RpMmQfPLPtcce6m/J2PLO+GEXHOpNHU+/e7q3j3H1C3P/p7SbernI9Zt1KgCex9GrVpBux+7dcsx+yooV1wR/az5E07Isd+XsfXhfc0Q0JvIMxV8qlD837BZttOgUwebr+jkBsGvaH4/8+kXr+kNYKc6dQIyeHDln/bkZ/0qU1bHjjnSpUueGae19Bd4uuVdc01t84srdb6vvy42Y7uW3oAWW37Lljn2C/OiiwqiytuxI2Tu3gtJTk7qL+HYMvV9ly4lHwUtX8u47LICczNd/LL0S7tt21wzCkNJezSY1F++2j5v/XX5eecFTX9mifziddt2ed17v19POy3fOu3bl9hS29ypU64Zn7fIBhWpAiD9Zdu0aep96Hdb0inPWy8NIL1/nGhg8Mtf1rH7xx0nrkwN0r1T3br6CzpgAtigjBhRcPgP27A9PkaNyjUBQslx5s3jx3yHDjkJ/+Dxo/zKlHHppSXfaRs3hqRz51wbSMYrT4NoF4Cde24tc6kuYL4Lw6YvWcmxuHRpsbnJtOQztX9/2ASleZHvynjllXdZnz55ooFgNifdb82aFZgTKGHbtsLCXNtm/fzpHy3uD5hUddLvjU8+KbJ59dgr79S2bY79oylVvsaNg+bKYp4ZULyW/Z5dsqRkn8R+1w0dWst+zy9eXCxr1xZLr155JsAW0XZ5J91uRb9zveUwXzUE9Gqy6waZqEY65OXvfve7RKvLtTz627dcWUmMAAIIIIAAAgggUBMEGjZsKO3bt49qit6Po+OyazfH3r1724cGRSWoxBsC0ErgkRUBBBBAAAEEEKgJAiNGjDBXfkbEbYo+5VK7O+q47n5N5T/X79eWKQcBBBBAAAEEEECgygv0799f+vTpI5MnT/atrgSgvlFSEAIIIIAAAgggUDMF2rVrZ8dq96t1ATMWZ+K7FPzaylFSjt5sYu6nMncPlr7qvHZE1+XVedK2meHAbFu0Pel2rtc2O5d0DDStTonK1zrolGNudo0trzzbKSml5H8tU8vSH1eGrtH3sfXQtJrGGeiry+Pya1633H269NXV2bWhonfsa/nJJq2Pd4ptg67zpvHWP15al17T6fpEabzbzOa811PrGFtPb/tcW3Rf6T7RdW6/6DrvseA+u24funbHllfZtmp5btJ66U9VmVxb1UB/iotL6qfHrreemk5/nJGrv+Zx6bzrdbmmdetdGpevvK/e7cfWobxllSe9blfb4NqjeV2bylMPV399VYtY31R1cvXQbSaz1ONb66fl66vmc/XUfPqjy3TS5a5c97nQz4rbhq7TH+/npyQn/1dlAR3L85lnnpGNGzemXU19NPr8+fPl3/7t3+RHP/qRTJgwIWXeIUOG2HHep06dmjAtfUAT0pR/hfeDrLmTfRGUv/Qjm0PbZkZkqNDkXNLJnCptsqAtVd5E2/eWmaoMb1pXnjdPonmXVl/jleFdX9l5bx0SleVN451Plj6ddInyZ3K511PrGFvPRO/18xm7zluWq3Ps5zg2j0tX0Ve/y6toPeLlc3VzBhpsxJs0nUsbb70ui7felZsoT7rL09l+umWVJ128NpUnv0tb2fqnWw/v8R3v+Nf6eMty8/H2e2Xr7NrOa9URePDBB+Whhx4qUyEdD1QnHQbz+uuvL7O+ogsIQCsqRz4EEEAAAQQQQKCGCPTq1Ut0bPXYyY0HOnz4cF9vQiIAjZXmPQIIIIAAAgggcJQJnH322aI/2ZrMhRMmBBBAAAEEEEAAAQSyJ0AAmj1rtoQAAggggAACCCBgBAhAOQwQQAABBBBAAAEEsipAAJpVbjaGAAIIIIAAAgggQADKMYAAAggggAACCCCQVQEC0KxyszEEEEAAAQQQQAABAlCOAQQQQAABBBBAAIGsChCAZpWbjSGAAAIIIIAAAggQgHIMIIAAAggggAACCGRVgAA0q9xsDAEEEEAAAQQQQIAAlGMAAQQQQAABBBBAIKsCBKBZ5WZjCCCAAAIIIIAAAgSgHAMIIIAAAggggAACWRUgAM0qNxtDAAEEEEAAAQQQIADlGEAAAQQQQAABBBDIqkBuVrfGxhBAAAEEEEAAAQSOmMDmzZulWbNmGd3+9u3bZejQoUm3QQCalIeVCCCAAAIIIIBAzRAYPHiwBIPZufjdpUuXpGiBsJmSpmAlAggggAACCCCAAAI+CmQnDPaxwhSFAAIIIIAAAgggUL0FCECr9/6j9ggggAACCCCAQLUTIACtdruMCiOAAAIIIIAAAtVbgAC0eu8/ao8AAggggAACCFQ7AQLQarfLqDACCCCAAAIIIFC9BRiGqXrvP2qPAAIIIIAAAgikJbBx40bZtGlTWmkrm6hBgwbSrl27hMUQgCakYQUCCCCAAAIIIFBzBJ544gm5++67s9KgCy+8UKZOnZpwWwSgCWlYgQACCCCAAAII1CyBxo0bJw0M/WjtzTffnLIYAtCURCRAAAEEEEAAAQRqhkBeXp4MHDgwo41p2LBhyvK5CSklEQkQQAABBBBAAAEE/BQgAPVTk7IQQAABBBBAAAEEUgoQgKYkIgECCCCAAAIIIICAnwIEoH5qUhYCCCCAAAIIIIBASgEC0JREJEAAAQQQQAABBBDwU4AA1E9NykIAAQQQQAABBBBIKUAAmpKIBAgggAACCCCAAAJ+ChCA+qlJWQgggAACCCCAAAIpBQhAUxKRAAEEEEAAAQQQQMBPAQJQPzUpCwEEEEAAAQQQQCClAAFoSiISIIAAAggggAACCPgpQADqpyZlIYAAAggggAACCKQUIABNSUQCBBBAAAEEEEAAAT8FCED91KQsBBBAAAEEEEAAgZQCBKApiUiAAAIIIIAAAggg4KcAAaifmpSFAAIIIIAAAgggkFKAADQlEQkQQAABBBBAAAEE/BQgAPVTk7IQQAABBBBAAAEEUgrkpkxBAgQyLFC8ao0U790nud26SDDI30SpuENbt0n44CEJNj9GAoFAmeSp1pfJkIEF3jqEt22X0HffizSsLznNm4kcPCjFa76VsIQk0LCh5BTWlUBhYcpahA8ckOJNm0WKDklOM9N2Tx7dnncb8VxSboAEEQG1Dm3bIcHCOhHneMsiGZipkgLez2G8z0TsPuW7uEruxhpbKX7b19hdW30aVrT6Gyn+erlIKFR9Kn0EaxraslVCm74TCYfj1iLV+riZfF7orYPOF61YJaENm2ydwwcO2vduWXjX7rS2rvmK1/3TBK/fSGye2G2kVSCJEgqotR5jXud4yxIWwIoqIeD9HMarUOw+5bs4nhLLMiVAAJopWcpFAAEEEEAAAQQQiCtAABqXhYUIIIAAAggggAACmRKgD2imZCm3XAKhHTul+Jt1EsrlkEwFV/yvDSLBnKTJijdvkYDxNJ1qk6bL1EqtY6BOnUjxod27JVBUFHkfLi6W8KGDpi+ruay+/l8SMn1aU03h3XskpO0qrF0mj24vfOiQhL7fao+jI9XuVG2oLuuttek6kdOsaZkqp7u/ymRkQdYFYj+H8Sqg/cndPi3+zvSxzjky3xnx6saymi3Ab/uavX+rTev2Pvtn2XXbf1ab+h7pihZccqHkn9Y/YTV2jftP21cyYYIsrKj/8D2Sd3Jvu6X9r0+T2j+9TOTwe705omjpMgnv2Se7bhmfdm2CTZtI/Yd/L1t+NLJMnsLf3Sr7XntLipetLLOOBeUXyD2xszR+7fkyGePZl0nEgiojUP/B30c+h/EqVWT63++86beRVfXuLp2PLGQGgQwIHNE/dQ6YOy137dqVgWZRJAIIIIAAAggggEBVFchqAHrQXG575plnZN++fdbjvffek+uvv76q2lAvBBBAAAEEEEAAgQwIZDUAXbdunUyePNmMHhN/+JgMtI8iEUAAAQQQQAABBKqYQNI+oEXmpoF58+bJKaecIgsWLJDNmzdL3759pUWLFrJ69WpZsmSJnHzyydKqVauoZq1Zs0a++OILKSgokD59+kjTpk3lkLlBYOHChTbd3Llz5aSTTork2bFjh92OLtDymjRpElm3Z88emT9/vmzfvl26du0qnTt3jqzTbWhdli5dKnl5ebaeudzEEvFhBgEEEEAAAQQQqIoCSQPQvXv3yrhx46R///42gNy2bZs88cQTMmrUKHnzzTelS5cu8tBDD8kdd9whgwcPtu176aWX5KmnnpLevXvL1q1b7fo777xTevToIR9//LFNM3PmTGndurWd1zKvu+46adu2raxatcqWr/k1sFy7dq3ccsstkp+fL+3atZNHHnlERo8eLVdffbXN+/TTT9tXzZeTkyOvvvqquAD0rbfesnXWBBogn3baaTYt/yGAAAIIIIAAAggcWYGkAairWvv27WXMmDH27QUXXCAa3L322ms22JswYYJ8+OGHNgDVgFGDQg1IzzrrLHup/bHHHpM//vGPNjjU/p6ffPKJ3H777VLHDNHy9ddfi5791PXdu3cXPeOq5etZ14suusgGr3rG8w9/+IN95ODKlSvlyiuvlNNPP90Gv1ohDXK1PhqA6o+b/vM//1M0gNZp0KBBBKAOhlcEEEAAAQQQQCCBQMg8lVCvcOuV7mIzZJ7GYfqjJwP9nNIKQAcMGBDZZocOHeS4446LnGnUs4t6iVynxYsX20vhGiDqpM+ePeecc+T111+Xb775JipAtAnMf40aNbLBp77Xs5fdunWTDRs2mMdFH7SX7EeMGCEzZsxwye3l+c8//zwSgOol+3goGsS6vqY8XzzCxwwCCCCAAAIIIBBXYNGiRXLzzTfbeM6bQK9C6wlHvSLu15RWANq4cePI9jSYi33vVurZSL207g0I27RpY1drX8769eu7pJHXBg0aROZ1Rs9iavStfT41gNSzqlu2bImk0Uv5DRs2jLz39heNLDQz3jp4lzOPAAIIIIAAAgggEC2gXSK1m6OeDLz33nvtfTc6v2LFCpk4caIMHz5c5syZI3oi0o8prQA03Q25m5O0EXpmUyc9W6lTx44d7U1M9k0a/2lgqQ0/9dRTZeTI0kGnP/30U3FBbRrFkAQBBBBAAAEEEEAghcCUKVPs1We96qzxnJv69etnu0Vq10oNRB944AG3qlKvvg7DpDf66FnO559/Xnbu3Cnr16+3fUX1rKUur1evnq2s3iWvl9iTTXomdMiQIfZmp2XLzBNTzNnQ6dOn25uitK8oEwIIIIAAAggggIA/Atrv88wzz4wKPl3JhYWF9h6dr776yi2q9KuvAagGmHrDkPYJ1VO1V1xxhe0Tet9999mK6llNHUrp2muvFR2EPtU0duxY2/FV73o/99xz5eWXX5bbbrutzLBPqcphPQIIIIAAAggggEBigWbNmiV9OqU+udKdSExcSvprkl6C17OWs2fPjirt4Ycfjno/bNgw0R839ezZ0waK2h+0bt26UqtWLbfK9u/UIZb07vTatWvbm5T0bnfv5IJVXaYR95133im/+c1vRPuQevue6vrHH39cX5hqgEBOqxYSaFBfAuYfU3KB8P79EmzRLGminI7tJNhEu8EcGU+tY6BunUgdg8ccI1JQ+l0QMOP2BurXM2nqSm6v7qLvU01hczdmoJa5C9P0Q4/NY7dXu5bktG8rwXqFR6zdqdpQXdartX4m402x9vHSsKxqCJR8DusmrUzAjEjj9mlox04xZ42SpmdlzRUYOHCgPPnkkzJr1iwZNGhQVEO//PJLO5qRGxEpamUF3yQNQCtYps0WGyx6y9IhmMozaRDrDWTLk5e01UOg9qgRUmv4+RI0/X6ZkgsUrVgl4b0lj7NNlLLeb2+W3B5dJWCCtSMxxdax4LwfSrB5adAcbNhA8np3l5xjj5XGU56SYMv4wY637qGdu+TQF+byz/59ZfLo9oq+XiGFt/675GlAe4Ta7a1vdZ5X6+I138RtQrr7K25mFmZVIPZzGG/juZ3aRz5PB/4+S0LmBmCmo1NAg04duUjvu9H+njoqkd7QvXz5cnn77bfteO3VIgA9OncfrUYAAQQQQAABBKqfgD5R8rnnnpO77rrLXv3+6KOP7PjsOlqRPoBo/Pjxdgx3v1rG6Sa/JCkHAQQQQAABBBCoxgI6+pAGoDrpzeLa7zPRcJeVbeaRuT5X2VqTHwEEEEAAAQQQQCBjAnr5PVPBp1aaM6AZ23UUjAACCCCAAAIIVA+BZ599VvSnPNPf/vY3adq0aXmyRNISgEYomDlSAnmDB4o9Fc8NSGntgpyO7UvubU9wo02q9WltpJKJvHXQeb073d4YZOqsd7/XGnq2HQXD/KfP7E1ra0HN9/+dImZQYHsnvDdT7Da865gvv4BaB81NbN59E29Z+UsmRzYFvJ/DeNuN3ad8F8dTOnqW6UN+CgoK7HPgdfB5fYCQjumufUF3795tz4bq48+9k16yr+hU8ZwV3SL5EIgR4M73GJAUb1Pd4Z1qfYrifVntrYMLPL0FByr6pZUg6I63De/2mK+AQDzreMsqUDRZsiPg/Rwm3KJnn/JdnFDpqFih44CuW7dOXnrpJfnhD38YafOhQ4fkgw8+kF/+8pdyzTXXyBlnnBFZV5kZ+oBWRo+8CCCAAAIIIIBADRB4/fXXZcCAAVHBpzZL747X4Zn0Tnh90qVfEwGoX5KUgwACCCCAAAIIVFOBHTt22AcGJaq+jse+ZcuWRKvLvZwAtNxkZEAAAQQQQAABBGqWwKmnnirvv/++TJ8+vUzDli1bJlOmTJE+ffqUWVfRBfQBragc+RBAAAEEEEAAgRoicPnll8ubb74pP/nJT6R///7StWtXe/l9zZo1MnPmTGnVqpXcdNNNvrWWANQ3SgpCAAEEEEAAAQSqp0DAjEiiNyBpP8/JkyfLyy+/LAcOHJBjzSOTr7rqKrnxxhulUaNGvjWOANQ3SgpCAAEEEEAAAQSqh8DWrVttUHnPPfeIDsGkkw6rdPXVV9ufsBnyTu+A1wHpMzHRBzQTqpSJAAIIIIAAAghUYQG9oei9996TpUuXxq2lnhHNVPCpG+QMaFx2FiKAAAIIIIAAAjVXoF27dtKiRQv52c9+Ji1btrSD0Kdq7bnnnit33HGH3HrrrTJnzhzhSUipxFiPAAIIIIAAAgggEBHQ8T2nTZtm+3uuX79e9u7dG1mXaEYHq9dJA1Z9UhJPQkokxXIEEEAAAQQQQACBuALt27eX//iP/4i7LtnCW265JdnqtNZxCT4tJhIhgAACCCCAAAJHh8DatWtl1apVov1AO3ToIG3btrXzfraeANRPTcpCAAEEEEAAAQSqqcDy5ctFz27OnTs3qgU6AP2f/vQn6dWrV9TyyrzhLvjK6JEXAQQQQAABBBCoAQK7d++Wyy67TD777DM5//zz5Re/+IXUrl1brrnmGlmxYoVccsklsnHjRt9aSgDqGyUFIYAAAggggAAC1VPgxRdfFL0Z6Z133rGD0eujOfUmIx0n9PPPP5eDBw/KhAkTfGscAahvlBSEAAIIIIAAAghUT4ElS5ZI3759pXfv3mUa0LBhQxk+fLgsXry4zLqKLiAAragc+RBAAAEEEEAAgRoioEFmvXr1EramsLAwrbFCExYQs4IANAaEtwgggAACCCCAwNEmMGTIEDu4/Lx588o0XW9OeuWVV6R///5l1lV0AQFoReXIhwACCCCAAAII1BCBAQMG2GfCX3DBBTJ9+nTbqv3799sbkk477TQ7+PyYMWN8ay0BqG+UFIQAAggggAACCFRPAX0y0qxZs2Ts2LGSk5NjGxEOh2Xz5s1y4403yrvvvuvrJXjGAa2exwm1RgABBBBAAAEEfBUoKCiQ8ePHy6ZNm2TlypXy5ptvSo8ePaRu3bq+bkcLIwD1nZQCEUAAAQQQQACB6iegfT3HjRsns2fPjlRen4akA9BPmjTJXqKPrKjkDAFoJQHJjgACCCCAAAIIVHeBHTt2yMiRI6W4uFh+/etfS6dOnew4oGvWrJEXXnhBzj33XJk2bZp9NKcfbSUA9UORMhBAAAEEEEAAgWos8Oc//1kOHDggH330kTRv3jyqJVdeeaUMHjxY3njjDbn11luj1lX0DTchVVSOfAgggAACCCCAQA0R0IHoNciMDT61eToG6LBhw+Tjjz/2rbUEoL5RUhACCCCAAAIIIFA9BerUqSNLly5NWPlvv/3WDsWUMEE5VxCAlhOM5AgggAACCCCAQE0TOPvss0XPgt53332ydevWSPP0GfATJ06Ut99+W4YOHRpZXtkZAtDKCpIfAQQQQAABBBCo5gIaXGr/Tg02R48eHWmNBqV33nmnvUHprLPOiiyv7Aw3IVVWkPwIIIAAAggggEANELjttttEbzj6xz/+EWlN586d5YMPPpDu3btHlvkxwxlQPxQpAwEEEEAAAQQQqAECxxxzjFx44YWRlugg9Bp8Tp48WZ5++unI8srOcAa0soLkPyICYTNURGjbDgkW1pGAuTtPp3jLYiuXTpp0yypPuth6VLf3XrfwwUOiP8Hmx4gOUKxTaOu2Msuy2Ubv9sX0V4o9NrQuxavWSPHefZLbrYsEg+n/7e1tux5r3m259ru2xqaNfe/Sxb4mKzM2rfd9uuW7PPG2410W3rY9q/vRu+1YS1fnbL0mq0uideX1L29b4pUfb1l5y81k+kT1i2cYb1mi/JmsM2WXCrz++uv2RiTt9xk7zZkzx3y9HpR169bZ71A9W6o3LlV0IgCtqBz5jqhA+IAJMjZ9J4FwU08AWnZZbCXj5YtNo+/9ThdvG9VpmdcjtHuPhE0gF2zWVEwEapsR2rK1zLJsts+7fW9d3R8nWpei1d9IaPt2yT2xs5hvz7SrF1ued1uu/a6w2LSx71262NdkZcam9b5Pt3yXJ952vMu887Ftc2X4+Zrt7SWre7K6JFpXXv9k24+3Ll758ZbFy3ukliWqXzzDeMsS5T9S7Tmatvvaa6/J9ddfb5vsngXvbb8OUK/TqlWr7Gvt2rXtU5Psmwr8RwBaATSyIIAAAggggAACNUngs88+E738PnfuXKlfv36ZpukjOnfv3i0TJkwos64iCwhAK6JGHgQQQAABBBBAoAYJ9OzZ0w44Hy/41GaeccYZ9klJfjWZANQvScpBAAEEEEAAAQSqqcCPf/xjW/ONGzdKOByODDq/b98+Oy6on2OA6oYIQKvpgUK1Ewt8f84lEt6xM34C86HKO7WfNHz4nvjrPUsPLV0mW88fZfoLlvRz9KwqnTXlaT/DpjPfLF1WQ+cOfvyJ7P7Dw6Z1YWkw8QHJ7dE1qqU7xvxKir/9p+kXGrU4O29CIan9k0ul3uE6Fa1YVWbfhYuKJadDW9l5yx3lq6PZx/mn9ZcGD90dacuO/3e7FK9cU7YckzYcCkvTGW9IsGULmz60a3eZukQKcjOm/vXuvaOMqVud7LX4XxtTl+8KMNspGH6+1H/kD26Jfd332luy7wLzyyccksL/+HWF6hFVYDne7LrnQTk097OyluUow5ekegxd+ZPIMRRb5vZf3CCh776Prqfb3x9OlfR7FceWnPz9gZn/K3se/q/S7yH9zmnYQJpOfz15xiO4Nu53p/Ft8NTDZY6tHWNvk+K160pdD5s2eeeVyGfoCDblqNp0yOyje++9V5588km5//775fLLL5c333xTxo4da898Dhw40N4JX69ePV9cfAlA9eH1emdUupU6dOiQrF69Who2bBj3maO+tIxCjloBvUEmbG6USTiZG5jSmopD5saavamT5uSkTlMDUmgA5zzC5osqdgrvPyDhPUncYzP4/D5svlcik6mfq2tkmc4cKqpQHcMxd4SG9+9Pvxz9hZrOcXS4g39UfdN5k275h8uKbYsuDh/0uFS0HunUNV4a83k8ksdNVJWKiqLeet+EzVmghPU0+yBTU9jUqczxU6tWpjbnT7mJvjvjOCX8LJk/5JiyKzBt2jR55JFH5JprrhEdcH7nzp1y4403SocOHeRnP/uZfUKSBqe/+tWvfKmYL3+0TZ8+Xa677rq0KrRp0ya5+OKLZcyYMTJlypS08iRLpMMCaIdZJgQQQAABBBBAAIGKCcyePVs6deok99xzj70Z6f333xe9/H777bfLVVddZR/D+fHHH1es8Di5fDkDevLJJ0uzZs3iFF920SeffGL7FrzzzjuSn59fNkE5l8Q+Mqqc2UmOAAIIIIAAAggc9QLbzTB1vXv3jjjo0480TtNL7zo1b95cVq5cGVlf2RlfAtDc3FypdfiSgHZe1YfYt27dWubPny96ub1fv37SpEkTWbt2rX3Qvd5hpev0jiu9bP/999/LF198YfO1bNnSptcyddJnkOqwAHvMpb3FixfbcgYMGCC6XvNodL5ixQr7c/zxx1fWg/wIIIAAAggggMBRJ3DCCSeIDkSvU5Hp+qEBqMZb+iQkHX5Jz4iedNJJvrn4EoDOmzdP/vKXv8iLL74oOv/GG2/IftNH6thjj5XNmzfbMaMmTZpkg8Rly5aJRtl62b5du3by5Zdfyu9//3vp2rWrHVH/2Weftf0NnnjiCdtIfexTXl6eaL4ePXrIokWL5MQTT5QHHnjABrEamGqQ2qZNG/EGoF999ZW4QVM14G3btq1vaBSEAAIIIIAAAgjUJIEhQ4bIww8/LCNGjBC9IWnLli22y6S28ZxzzrFnPx988EHfmuxLABpbG73BSANJjab15qRRo0bJrFmz7B1VenZ05syZctddd9lsTz31lFxyySVy5ZVX2vcLFiyQG264QTZs2BAZAkD7jf71r3+1p4IXLlxo78jSZZpnxowZMmzYMDnvvPOiqjF69GjZe7jj/6BBg0S3w4QAAggggAACCCBQVkAvvz/00ENy99132yvSI0eOFDc0kz4bXq9m9+3bt2zGCi7JSADatGlTG3xqnbT/gJ6d1Lup4k0aiOqpXg1atW+BnhHVSc+guumUU06J9Bft2LGjXbxr166kd9BPnjzZRvCaONGgqq58XhFAAAEEEEBRnw45AABAAElEQVQAgaNdQE8Y6vBLegJPL727SZ/77veUkQC00IyL6J20v6aezo03aZ8Cve1fA1XtE6q3++ukg6C6yVueXo7XKVF5Lo9ermdCAAEEEEAAAQQQSF8gEAhEBZ/p5yxfyowEoOlWQccP1UFPdZBTHZpJp+XLl4v2F00VYLptKBQTAggggAACCCCAQPURCB7JqupZztq1a9s72rUeeke79h3VSe+eT2fSs6Pr1q2L9PdMJw9pEEAAAQQQQAABBI6cwBENQAsKCuyI+88//7y96+rSSy+1nVxbtWolq1atSktFx6d65ZVX7ECpaWUgEQIIIIAAAggggMARFfDlErzeHaU/Ol100UX2x9sqfaaomy677DLRHzfpHeyaR8cC1ZuX9JK63hXvpkcffdTN2lcNWnW0fjf99Kc/FQ1cuRTvRHgNFNSScO2C+BDatfhwP+L4CTxLg+bvM1OWObg8C2NmTXm6vaNhCuQc9tA2q03MFKhlHiyRyD0mre9vzWP7AofHDrZlx9t35vGAkmsem1reOsY5ZgKmz3rccjSteZ561KTHT6rjSB87GMc0qpxEb9Ip3+VVp7yyX/sB52LrkeVHy+rnsbz7xLXHz1dtuzokmAI61nVsPd3+TvYdkaC8dBcH9FG/3uPHbLPKf+e47wqvi/p63x8GKPNZcqbBJN+76eKRrkoLlP0mOgLV1eBRB5uv6OQGwa9ofvLVLIGmf39Dgi1bxG1UaOcuKV7zTdx1sQvzup4gzT79IGFZmr485cWWX93e55/W33qEdu8xz6beV6b6DSY+ILk9usYNTssk9nlB0YpVUXXKPb5jmX134O+zJGTGIK41/HwJeoPVFHWJt48bPHpv3La6tMEG9SOlBusVlqlLZOXhmdj6x65P9j6nVYuU5bv8ibZT+7LhUu/u26V41ZooR5cvk6/1xt8a1zKT24xXdiIbl7bh8xPK1DOyvwtL7xZ26f16rXX2GVLnxyMi30Num36Vn4ly8k4s+92ZyLfBE/dHubr25RzTNBNVo8wqJFD2NEYVqhxVQQABBBBAAAEEEKh5AgSgNW+f0iIEEEAAAQQQQKBKCxCAVundQ+UQQAABBBBAAIGaJ0AAWvP2KS1CAAEEEEAAAQSqtEDAjMWp95wxIVD9BPTpWnpXpffOynjLYluWThrN43e62HpUt/eHPfQrw96f6rlrO2zWxS7LZvPKbD/OvguZR/7av7jLcQNSpA2e8spsK5Lo8IwnrV0S+z42vXmfssw4eSKL0ijfpY23He8y77zLk8nXbG8vWVuS1SXZurS/J5JtPNm6ePs33rJkZWR7XZz6xTOMt8xWNU7+bDehpm5v/Pjx8swzz8jGjRsz2sQhQ4bYcd6nTp2acDtV4i74hLVjBQLJBDwBUCRZvGWRlYdn0kmjSf1OF1uP6vb+sEe8Ic/iDcuUzeaV2X6cfVeeO9/L1N1TXpltxSb2pLWrYt/HpjfvU5YZJ09kURrlu7TxtuNd5p13eTL5mu3tJWtLsrokW5f290SyjSdbF2//xluWrIxsr4tTv3iG8ZbZqsbJn+0msL3MC3AJPvPGbAEBBBBAAAEEEEDAI0AA6sFgFgEEEEAAAQQQQCDzAgSgmTdmCwgggAACCCCAAAIeAQJQDwazCCCAAAIIIIAAApkXIADNvDFbQAABBBBAAAEEEPAIEIB6MJhFAAEEEEAAAQQQyLwAAWjmjdkCAggggAACCCCAgEeAANSDwSwCCCCAAAIIIIBA5gUIQDNvzBYQQAABBBBAAAEEPAIEoB4MZhFAAAEEEEAAAQQyL0AAmnljtoAAAggggAACCCDgESAA9WAwiwACCCCAAAIIIJB5AQLQzBuzBQQQQAABBBBAAAGPAAGoB4NZBBBAAAEEEEAAgcwLEIBm3pgtIIAAAggggAACCHgECEA9GMwigAACCCCAAAIIZF6AADTzxmwBAQQQQAABBBBAwCOQ65lnFgEEEEAAAQQQQKAGC+zbt0+efPLJjLZw/fr1cvzxxyfdBgFoUh5WIoAAAggggAACNUdg586dct1112W8QakC0EDYTBmvBRtAAAEEEEAAAQQQOKICGvKFQqGs1CEQCEgwmLinJwFoVnYDG0EAAQQQQAABBBBwAolDU5eCVwQQQAABBBBAAAEEfBQgAPURk6IQQAABBBBAAAEEUgsQgKY2IgUCCCCAAAIIIICAjwIEoD5iUhQCCCCAAAIIIIBAagEC0NRGpEAAAQQQQAABBBDwUYBxQH3EpCgEEEAAAQQQQKCqCrzyyivy2muvZaV6p5xyiowbNy7htghAE9KwAgEEEEAAAQQQqDkCS5Yskb/97W9y2mmnZbRRCxculKKioqTbIABNysNKBBBAAAEEEECg5gg0atRIPvjgg4w2aMiQISnLpw9oSiISIIAAAggggAACCPgpQADqpyZlIYAAAggggAACCKQUIABNSUQCBBBAAAEEEEAAAT8FCED91KQsBBBAAAEEEEAAgZQCBKApiUiAAAIIIIAAAggg4KcAAaifmpSFAAIIIIAAAgggkFKAADQlEQkQQAABBBBAAAEE/BQgAPVTk7IQQAABBBBAAAEEUgoQgKYkIgECCCCAAAIIIICAnwIEoH5qUhYCCCCAAAIIIIBASgEC0JREJEAAAQQQQAABBBDwU4AA1E9NykIAAQQQQAABBBBIKUAAmpKIBAgggAACCCCAAAJ+ChCA+qlJWQgggAACCCCAAAIpBQhAUxKRAAEEEEAAAQQQQMBPAQJQPzUpCwEEEEAAAQQQQCClAAFoSiISIIAAAggggAACCPgpQADqpyZlIYAAAggggAACCKQUIABNSUQCBBBAAAEEEEAAAT8Fcv0sjLIQSCXwXWiF7CjaJPlSVxrmNpcGwVayL7RTvg+tlvrBZmZ5YWRe1+mk69cXLZYi2S+Ng8fJQdln07q8bl2r3K6R/IdkjxSHwpHtHDDvD4T2SBNpJyvC/yv54TpyQu6ZckB2R7an23Zlebfj8uZLbbvt1sGeEgwGI/XWbeWZ9rjlqQzc+ngWrr3Owxl482g73La0jGTvXT7vq9c7tm3qs0XWRu0L127dP848Uf3cdrz7TPeLa4errytT2/G9rIpqgyvD61MQrBO13zWNK8vVOXY/uDpo+Q2ldeTYcdt2+VK1y23HmXvr57XX5W6beqx62+3M3bZjj/XY4z5VOfHq7D1+vdvWenkt3efOLd9QvFTCYX0n0kiOk+Nye0Xtk3j7x7XHa67ptKyC4kZSECy0n293fCXaz7H18qZfH1ok3xWvkI45p0mj3NbWdnnxLPvZbRvsW+Y4VROX3zmHQsWyObxKWgd6SlFwf9LjukSg5P9E+9ybxhm47cZ+r3nTunlvHv1MeLcT6+xd5/2ecvnUumH4ODkm2N5aePeFfj9pfrc/dPuh4IEynwF3HLn6xb66OjhP72cg1Tr1CJnv4K3B1VGfPy3DtcdbZ22/M9TP+87QZvudr8ey26/e7WtdXR2SLfe6unn97C8pfk/2hXdIj9zzzfFaL/Ld7z47bl/tDm2SbcUbJGxO1zUOHGt/b3i//51N7KuzdftBP2O1Q6WfDfedmKwdsfujpr0nAK1pe7SKt+e70ErzpbHSfOAbSEBC0kBMACo7ZEPoK/MBLzYhYLPIvK7TSdevCy2Q/YGd5gvJhJ+h7Taty+vW1TW/Pl3+PeZXaDgUiGxnZ+g72RvaJrVyG8iqg3OkINBAjg8OMmVFb9uV5d1OJG+wvgmUdkrL3O4SNP9cvXVbdaVpZLmtdBr/xbPQbK5c9XAGrjjNo+1wdUj13uXzvnrLj22b+mwoit4XtYMNy5i7/RVbP7cd7z7T/eLSufrW8lh+VxTdJleG16ee8fXud00TKetwnWP3g6vDt+HPpFnweHPk7Lf7z23b21Z3LMVrl9uOM/fWz7svdLnbph6r3nY7c6+lO1bjHfepynHHhivXleGOX++2tV5eS/e5c8tXFc+RYvNZ1El/kbcO9hDvPvHO63Gvk9uu11zTaVmF0tL8NLGfb3d8qV28cmLr5U3/z6IvZE3xJ9I4r605gkwAar4HtHz97DYJdixznKqBy+/28UETunxb/Jnk5hfIwdDuqO8Y775wx6dtnPkv0T536/XVGbjtah7v95o3rZv35tFtercT6+Nd5/2ecvnUokWwu2g79DPr3Re6nzS/2x+6/aLw3sj3Z7K2u7rqq6uD8/R+BlKt0/VF5t+/ihdFff60DNceb521/ZpHDfXzvjm0yn7n67Hs9qt3+976JVvudXXz+tlfcXCW7A5vlWPze5sAuVXkd4z77Lh9tdkE8puK10jYfEpaBrvY3xve739nGfvqPqPaJt0P+hlrYI5j99nwHnPOMrYd3n1RE+e5BF8T9yptQgABBBBAAAEEqrAAAWgV3jlUDQEEEEAAAQQQqIkCBKA1ca/SJgQQQAABBBBAoAoLHNEA9MCBA7Jr164qzEPVEEAAAQQQQAABBPwWyGoAevDgQXnmmWdk3759th3vvfeeXH/99X63ifIQQAABBBBAAAEEqrBAVgPQdevWyeTJk82QH4fH/KjCMFQNAQQQQAABBBBAIDMCSYdhKioqknnz5skpp5wiCxYskM2bN0vfvn2lRYsWsnr1almyZImcfPLJ0qpVyXA5ropr1qyRL774QgoKCqRPnz7StGlTOXTokCxcuNAmmTt3rpx00kkuuezYscNuRxdoeU2aNIms27Nnj8yfP1+2b98uXbt2lc6dO0fW6Ta0LkuXLpW8vDxbz9zcpE2K5GUGAQQQQAABBBBA4MgIJI3W9u7dK+PGjZP+/fvbAHLbtm3yxBNPyKhRo+TNN9+ULl26yEMPPSR33HGHDB482LbgpZdekqeeekp69+4tW7dutevvvPNO6dGjh3z88cc2zcyZM6V169Z2Xsu87rrrpG3btrJq1SpbvubXwHLt2rVyyy23SH5+vrRr104eeeQRGT16tFx99dU279NPP21fNV9OTo68+uqrQgBqSfgPAQQQQAABBBCosgJJA1BX6/bt28uYMWPs2wsuuEDeeustee2112ywN2HCBPnwww9tAKoBowaFGpCeddZZ9lL7Y489Jn/84x9tcKj9PT/55BO5/fbbpU6dOvL111/bs5+6vnv37qJnXLV8Pet60UUX2eBVz3j+4Q9/kEAgICtXrpQrr7xSTj/9dBv8aoU0yNX6aACqP24aOnRopK/pqaeeastw63hFAAEEEEAAAQQQKCuwceNGG7+1bNnSrtT7djTWcicOy+ao2JK0+oAOGDAgUnqHDh1EAzp3plEvv3/zzTd2/eLFi+2lcA0QddKg8ZxzzpEtW7ZE0tgVnv8aNWpkg09dpGV269ZNNmzYIHrDkl6y1zOhM2bMkL///e+il/b18vznn38eKUEv2esZUm/wqSt1u+eee6790W4DTAgggAACCCCAAALxBUKhkNxzzz22O+NHH31kE+nV7uOPP95e1R4+fLivIxeldQa0cePGkdrqM1Bj37uVLkLWgNBNbdq0sbPal7N+/fpuceS1QYMGkXmd0UBSEbTPp96spGdVNYB1k17Kb9iwoXsb1V80stDM3HTTTd63zCOAAAIIIIAAAggkEJg2bZrt6njNNdfYq9g7d+6UG2+8UfTE489+9jO577775Mknn5Rf/epXCUoo3+K0AtB0i3Q3J2m/Tj2zqZM7W9mxY0d7E1O6ZemZTj0jqmdbR44cGcn26aefigtqIwuZQQABBBBAAAEEEKiwwOzZs6VTp072LKgW8vrrr9uujNptUq8q61Vudy9PhTfiyZjWJXhP+qSzp512mj3L+fzzz4tGzuvXr7d9RfWspZ79rFevns2vl9L1EnuySc+EDhkyxN7stGzZMns2dPr06famKO0ryoQAAggggAACCCDgj4BeedYbyN30wQcf2C6OAwcOtIuaN28u+gAhvyZfA1ANMPWGIR02SfsKXHHFFbZPqJ621UnPaupQStdee63oIPSpprFjx9phl/Sud+3P+fLLL8ttt91WZtinVOWwHgEEEEAAAQQQQCCxwAknnCCfffaZTaAn+jQA1XuA6tatK7t375b3338/aijMxCWltybpJXg9a6mnZL3Tww8/7H0rw4YNsz9uYc+ePW2gqP1BtdK1atVyq2z/Th1iSYd3ql27tr1JSe92904uWNVlhYWFokM4/eY3vxHtQ+rte6rrH3/8cX1hQgABBBBAAAEEEKiEgF511hhvxIgR9l4cvf/m4osvtiXqJXgdiejBBx+sxBaisyYNQKOTlu9dbLDoza1DMJVn0iDWG8iWJy9pEUAAAQQQQAABBJIL6OV3Hdv97rvvtsMu6f03P/7xj22mCy+8UPr162cfRpS8lPTXZiwATb8KpEQAAQQQQAABBBA40gL6oKHLL7/cXqnWq9hu0u6Pfk++9gH1u3KUhwACCCCAAAIIIJA9AR3D3Rt8ZmrLnAHNlCzlIoAAAggggAACVVhAh7rUMdfTnc477zz53e9+l27ypOkIQJPysBIBBBBAAAEEEKiZAu3atYtq2KJFi+S7774TfcqkPgpdp+XLl9u743U89y5dukSlr8wbAtDK6JEXAQQQQAABBBCopgIvvfRSpOb6+HMdmUiX/fCHP4ws15n/+7//k5/85CdRT6KMSlCBNwFz6jX9c68V2ABZEPAKFEmRlHY8Dpr5knchs1zsu6B4511eXRYy/4KifzOFIml1vXedlqfvNXXu4bK13JK8OpcrB2W/edW5kkfGerfnLcttx+Ut2WpJGbpdnbzbKqlbyfJ0/k9k4cp1Ht6yXB63rVTvvXm9867N8drm1jlLrYeziLe/vOV6572WLp+rr9fSLXNtcmW45SXvy9bBrdd8ifaDLj9o/uWafyWeriUl+9HbVt1O7Htd5t2OvndTouVahjtWXbs1jyvb1cDrGzvv0icrx5XtynVlxMvj6lpSd01Z8rnT5SX5S9aok3q69LHzJalK/td87nPm0umyEmtNE/2585bpynHLSt6XTa/6QfM5dfX1fnZj2+3dnju+9NWVEc/du6ykDiX/u3ppu5JNrg7uc1SSttQ3Xl6XR1N5t+Od13yx72Pz6Xu3v3Teuy9cfpdG37vjwrXZvTpbTRM7uTo4T69HOuu0vNjPnysjts6uvJI6lHzeXZ2dr8vr6unyJFvuTeOd12NJDXKlwB5fWh+3PWfi6ljyW0XT6r/SR43rej3unGXsq9vHJenE5i6pu64p+Qzqe2+9StZn7v/x48fLM888Ixs3biyzEX3i0T//+U954YUXyqzTBXp3/OrVq+W5556Lu967UId00uE2p06d6l0cNZ/80xWVlDcIVF5AP77xJu8XiHfepdVlpR/X0jldH72u5H3pV0RJCd4Pe775wvFO3u1Fl1WyHZc3equuXO/XkbfU1POJLDSnt07ekmLzpHrvzeudd+XHa5tbp+lL56NbX7rcW2r0vKaJzlX6BexdHtsGV0rZ5d5cpWVpet1W7D53ywtijjlvKbHtiH2vZZSthy5NvDxeuzV9admlNShd5l2vqUvel6YsWeaWl76Lzpdo28nbUPYz6U3vnY/drte8JF10We740nzxyoldVjZ9dHnez248O5ffuZW8ujLcUq9Z6TJv22Lr5V3nnXd1cNv1rks07/Loeu92vPOx6/R92XyuXSXrvPuiNL83jS7VybXZvZYsjfe/q1O8lOms0zJjP39uO9oeb51deW691tNtt3SudK3Olc1Tst67PNG891jSXFoft72SUqJdSyXd2pL1Je9czthXV8d4uUvL8daxdGn251I9oVKH0NSnJfk1OS2/yqMcBBBAAAEEEEAAgWomoGct9ZHnH374YZma6yPUJ02aJGeeeWaZdRVdkDwsr2ip5EMAAQQQQAABBBCoNgKDBg2yj1G/9NJL5bTTTpMTTzzRPgRo7dq19jGcxx9/vOjg9H5NBKB+SVIOAggggAACCCBQTQXy8vJk4sSJoo9Uf/vtt+1j1ffv32/vhv/5z39uh18q75Msk1EQgCbTYR0CCCCAAAIIIHAUCVx77bWiP6FQSA4dOpSxR6ETgB5FBxVNRQABBBBAAAEEUgnoZfdVq1aJPhWpQ4cO0rZtWzufKl951hOAlkeLtAgggAACCCCAQA0V0EHnb7nlFpk7d25UC/v06SN/+tOfpFevXlHLK/OGu+Aro0deBBBAAAEEEECgBgjs3r1bLrvsMvvUo/PPP19+8Ytf2LE8r7nmGlmxYoVccsklcccPrWjTCUArKkc+BBBAAAEEEECghgi8+OKLsn79ennnnXfk+eefF31OfG5urtxzzz3y+eefi44TOmHCBN9aSwDqGyUFIYAAAggggAAC1VNgyZIl0rdvX+ndu3eZBjRs2NAO0bR48eIy6yq6gAC0onLkQwABBBBAAAEEaoiABpn16tVL2JrCwkIpKIh+kmDCxGmsIABNA4kkCCCAAAIIIIBATRbQJyHNmTNH5s2bV6aZenPSK6+8Iv379y+zrqILCEArKkc+BBBAAAEEEECghggMGDBA2rRpIxdccIF9JKc2Swei1xuS9MlILVu2lDFjxvjWWgJQ3ygpCAEEEEAAAQQQqJ4C+iSkWbNmydixYyUnJ8c2IhwOy+bNm+XGG2+Ud99919dL8IwDWj2PE2qNAAIIIIAAAgj4KqB9PMePHy86EL1edp88ebLoM+AZiN5XZgpDAAEEEEAAAQQQcAIMRO8keEUAAQQQQAABBBDIuAAD0WecmA0ggAACCCCAAAIIeAUYiN6rwTwCCCCAAAIIIIBAxgUYiD7jxGwAAQQQQAABBBBAwCvAQPReDeYRQAABBBBAAAEEMi7AQPQZJ2YDCCCAAAIIIIAAAl4BBqL3ajCPAAIIIIAAAgggkHEBBqLPODEbQAABBBBAAAEEEIgVcAPR6/KioiJZt26d5OZm5plFmSk1tkW8RwABBBBAAAEEEKgWAps2bZI1a9bYR3J27dpV6tat63u9CUB9J6VABBBAAAEEEECg+gnok5DGjRsns2fPjlQ+EAhIr169ZNKkSdKmTZvI8srOEIBWVpD8CCCAAAIIIIBANRfYsWOHjBw5UoqLi+XXv/61dOrUyV5+1zOhL7zwgpx77rkybdo06dChgy8tJQD1hZFCEEAAAQQQQACB6ivw5z//WQ4cOCAfffSRNG/ePKohV155pQwePFjeeOMNufXWW6PWVfRNsKIZyYcAAggggAACCCBQMwT0SUgaZMYGn9q6wsJCGTZsmHz88ce+NZYA1DdKCkIAAQQQQAABBKqnQJ06dWTp0qUJK//tt99Ky5YtE64v7woC0PKKVdP0+0I7ZV3RQtkR+leVbUE26vhdaIV1CIVCEYd0thubJvZ9pDBmfBWIt7983UCGC0tU/5pw/KRqg7ftydJ602V4d1Tp4rPpkI1tJdvnuiNSrffuLFffTUXLynx/e9PpvEur3/HeeZeuPNt1efx6XVo0Qz498Bc7vJErM14d3bpsv5599tmiZ0Hvu+8+2bp1a2TzBw8elIkTJ8rbb78tQ4cOjSyv7AwBaGUFq0n+fbJDNoS+0v+rbI2zUcfvQiutQyjoCUDTsImtW+z7KotazSsWb39VpyYlqn9NOH5StcHb9mRpvemq0771u67ZdMjGtpLtc7VLtd7r6+q7UVaU+f72ptN5l1a/473zLl15tuvy+PW6uvgfsrz4f6UotyhSZLw6RlZmeUaDS+3fqcHm6NGjI1vXoPTOO++0NyidddZZkeWVneEmpMoKkh8BBBBAAAEEEKgBArfddpvoDUf/+Mc/Iq3p3LmzfPDBB9K9e/fIMj9mOAPqhyJlIIAAAggggAACNUDgmGOOkQsvvDDSEh2E3u/gUwvnDGiEmBkEEEAAAQQQQODoFNCB5p999tlyNf5//ud/pGnTpuXK4xITgDoJXhFAAAEEEEAAgaNUoGHDhtK+ffuo1h86dEjWrl0r33zzjQ00e/fuHbW+Ms+J9yUA1YFL9S6pevXqRVUs0Rtt0OrVq0UbG2+8qUT5WI4AAggggAACCCDgv8CIESNEf+JNH374oVx11VX2JqU+ffrES1LuZb70AZ0+fbpcd911aW1cH3B/8cUXy5gxY2TKlClp5UmWaM6cOTJ37txkSViHAAIIIIAAAgggUEEBHaD+jDPOkGeeeaaCJZTN5ssZ0JNPPlmaNWtWtvQ4Sz755BMJh8PyzjvvSH5+fpwU5VsUO1xA+XKTGgEEEEAAAQQQQCCVQF5enr0cnypduut9CUC1D0CtWrXsNjdu3GgHMG3durXMnz9f9HJ7v379pEmTJrbiOp5U/fr17bqePXvay/bff/+9fPHFFzafjrKv6V2/Ak2vd2Tt2bNHFi9ebMsZMGCAXa959u3bJytWrLA/xx9/fLrtJh0CCCCAAAIIIIBACgGNv2bNmiXvvvuuXHrppSlSp7/alwB03rx58pe//EVefPFF0Xl9WP3+/fvl2GOPlc2bN8uECRNE767SQHHZsmWyfft20cv27dq1ky+//FJ+//vfS9euXUUfA6V3YHXo0EGeeOIJ24qnn35aNOrWfD169JBFixbJiSeeKA888IANYhVGg9Q2bdqINwC96aabbB20EA10r7/++vRVSIkAAggggAACCBxFAg8//LA88sgjZVqs9/kUFxfb+3b+7d/+rcz6ii7wJQCN3bjeYKSB5AknnGBvTho1apSNni+//HJ7lnPmzJly11132WxPPfWUXHLJJXbgU12wYMECueGGG2TDhg2RZ45qv9G//vWv9pL9woULZezYsaLLdLDUGTNmyLBhw+S8886LqobeFKU/OhUVlT51ICoRbxBAAAEEEEAAAQSkW7du9mlHsRR6crBTp07ygx/8wJ44jF1f0fcZCUB1TCgNPnXSfp56dnLnzp1x66iBqAaIGrSuXLnSnhHVhHoG1U2nnHJKpL9ox44d7eJdu3YlvYNe+4YyIYAAAggggAACCKQWGDJkiOhPtqaMBKCFhYVR9df+nKFQ6bO3vSvff/99e8pXA1W9VK6X33XSG5Xc5C1PL8frlKg8l4dXBBBAAAEEEEAAgaopkJEANN2mar+Ce++9115S16GZdFq+fLntL5pugBkIBNLdHOkQQAABBBBAAAEEqoCAL+OAVrQdepazdu3akTve9Y529xgovXs+nUnPjq5bt0727t2bTnLSIIAAAggggAACCBxhgSMagBYUFMg111wjzz//vB19X2/v1yGYWrVqJatWrUqLZuDAgfLKK6/I7bffnlZ6EiGAAAIIIIAAAggcWQFfLsFfeOGFoj86XXTRRfbH26z7778/8vayyy4T/XGT3sGueXQsUL15SS+p613xbnr00UfdrH3VoHX27NmRZT/96U/tuFRcio+QMIMAAggggAACCFRpAV8C0Mq2UINHHWy+opMbBL+i+cmHAAIIIIAAAgggkD2BI3oJPnvNZEsIIIAAAggggAACVUWAALSq7AnqgQACCCCAAAIIHCUCBKBHyY6mmQgggAACCCCAQFURIACtKnuCeiCAAAIIIIAAAkeJQMCMxVn6yKGjpNFHazNDUmSaHrT/qqpBputYZAz0r66gRN9/l852Y9PEvq+qptW5Xon2V3VpU7L614TjJ1kbYtueKG1suuqyb/2uZzYdsrWtRPvc2aVa79K5+urzFON9f7t0+urS6ne8d96bJt3tevP4Mb9f9tvfPLlSECkuUR0jCXyeGT9+vDzzzDOyceNGn0uOLk4f6anjvE+dOjV6hedd9G9hzwpma55AbNBVFVuY6TrmxgSeziCd7camiX3vyuLVP4FE+8u/LWS2pGT1rwnHT7I2xLY9UdrYdJndI1W39Gw6ZGtbifa52wup1rt0rr7pXLJ1aTWvd96Vpa/pbtebx4/5Ak/g6cpLVEe3via/prM/a3L7aRsCCCCAAAIIIIBAlgUIQLMMzuYQQAABBBBAAIGjXYAA9Gg/Amg/AggggAACCCCQZQEC0CyDszkEEEAAAQQQQOBoFyAAPdqPANqPAAIIIIAAAghkWYAANMvgbA4BBBBAAAEEEDjaBQhAj/YjgPYjgAACCCCAAAJZFiAAzTI4m0MAAQQQQAABBI52AQLQo/0IoP0IIIAAAggggECWBQhAswzO5hBAAAEEEEAAgaNdgAD0aD8CaD8CCCCAAAIIIJBlAQLQLIOzOQQQQAABBBBA4GgXIAA92o8A2o8AAggggAACCGRZgAA0y+BsDgEEEPj/2zsPOCmK7I+/BQQJKlHySVQwEhVRAcHzlMMAHEFPQNIHFA8UPSSoGNA7UPTEhKAYCHImRCSJgmAAFBBRchBEcs7Lsrv9r1/5r77ume7dWXZnmOn5FZ9hqquqq6u+Vdv9puq91yRAAiRAAslOgAJoss8A9p8ESIAESIAESIAEYkyAAmiMgfNyJEACJEACJEACJJDsBCiAJvsMYP9JgARIgARIgARIIMYECsT4erwcCZAACZAACZAACZDAGSKwZ88eqVChQlSvvm/fPrnpppuyvAYF0CzxhGdu2bJFZs6cKXfddZcUK1YsvABTkpLAxo0bZc6cOdKlSxcpXLhwUjJgp8MJrF27VubNmyfdu3eXs846K7wAU5KSwKpVq2TBggXSq1cvSUlJSUoG7HQ4gRUrVsjChQv1vAjPzZuUpk2bSmZmZt5Ulk0ttWvXzrJEiqVCliWY6SIwd+5cueeee/RDJdq/IFwX5kFcE5gxY4Y88MAD+uZRsmTJuG4rGxc7AlOmTJGBAwfKsmXLpGjRorG7MK8U1wTee+89efzxx2XlypVSoADXgeJ6sGLYuLfffltGjBgh+IGSDIE6oMkwyuwjCZAACZAACZAACcQRAQqgcTQYbAoJkAAJkAAJkAAJJAMBbsHncJSPHj0q27dvl6pVq1KnK4fsglzczIvq1atL/vz5g9xV9i0HBA4fPiw7d+6UGjVqSL58/L2fA3SBLnro0CHZtWuXXHjhhYHuJzuXMwIHDhyQvXv3Ss2aNXN2YoKWpgCaoAPHZpMACZAACZAACZBAohLgT/JEHTm2mwRIgARIgARIgAQSlAAF0JCBw/K3V4CzgOPHj3tleaadPHlS0tPTPfOYmHgE/OYFenLkyJHE6xBbnGsC+BvPq7Hn/SLXwxE3FeTlvIibTrEhuSaQ1b0iWeULbsE7ptW0adNkzJgxgm9neOedd2Tq1KkCvR3oZjz11FNSpkwZZxE7jkk2fPhwWbJkifa11bJlS+nbty/1v2xCiRfxmhepqany5ptvyvz58wVOfeF6CW6Yrr32Ws8OwrfbE0884cqD/teoUaNcaTxIDALwozdgwADtzLl///52o5F+++23S1pamp2GCO4hZcuWdaXhgPeLMCQJneA3L2688UbPfnXs2FG6desWlsf7RRiShEyI5DmRzPIFHZCpaY2bxkcffSSvvvpqmHN53Ajgy2/IkCFSp04dee655+TRRx+V0aNHe/5BvPTSS4JJB39ecDDcr18/KV++vHTo0MGzPBPjl0BW8wJ+PxctWiTPPPOMVKxYUeDXb+jQoTJhwgQ93qG9gkPyatWquRwMFylSJLQYjxOAAAwFRo4cKYsXL5bWrVu7Wrx161ZB/gsvvOAyUixRooSrnDng/cKQSPzvrObFs88+6+rg8uXL5a233pLGjRu70s0B7xeGRGJ/Z/ecSHb5glvwan5DcJg0aZJeuQid7khv1aqVNGzYUD9QevbsqZ3EbtiwIbSofvDgLUlwVF+uXDm94tGuXTu9ehpWmAlxTyCreYEbB8YW1s1481Hnzp31Kvcvv/zi2a9169ZJ3bp15YorrrA/yWLp6AkkQRMhZHTq1ElOnDgh9erVC+vF+vXrpXLlytKgQQN7nDHmBQsWDCuLuni/CMOSkAnZzQvn3z12PiCYdO3aVWrVquXZX94vPLEkXGJ2z4lkly8ogKop3aJFCy2A4iYRGrZt2+a6SZQuXVrw2bx5c2hR7Z4Jr9uDKx4TcIPBqgj1QQ2RxPnOal5gRePWW2+1O7Np0ya98u21zYpC+MGCV7dihRQqGti6Z0g8AnClNHjwYL0CWrx48bAOYJwrVaoks2fPln/9618yceJEPS/CCqoEuHPj/cKLTOKlZTcvnD167bXXBHMHr3P2C7xf+JFJrPTsnhPJLl9QAFXzuVmzZp7v7z516pT2yXXeeee5Zv25554r+/fvd6XhAA8U5DnDOeecow/xC5khsQj4zYvQXkDfD1upWPW67LLLQrMFPkJ37NihdYtRFrrEWF194403wsoyIb4J4F7gt22KlmPlaunSpbJ69Wr96k2oZvTu3TtMJxRleb8AhWCE7OaF6SWMGWFPgB0TP3/BvF8YWsH6Dn1OUL4QoQ5oFnMcOoCwTvNyIA39ztCQkZERVtaU86oj9HweJx4BeEaAfjCMSZ5//nmt9xvaCzxoYLhWv359MT9IsBI6duxYvY0f+gMn9HweJw4BCBZ457tRr2jbtq3A0AQrorfccourI7xfuHAkxcH06dO1atbVV1/t21/eL3zRJGyG13OC8oUIV0CzmNKFChXSAgPeZuIMEDYqVKjgTNJxbM2HlsUx9L9gJc0QLAJY1e7Tp4/A7QpWQP3GGDqiWE01wicoNG3aVBu/YRWMITgEYKhohE/0CgZqUMmBGk5o4P0ilEiwj7GYAQH0tttuC1uocPac9wsnjcSP+z0nKF9QAM12dsOgAIYFJmAyYRsFlu2hAWUhjDgfNtDlQVmzEhp6Do8TkwBcL0H4xNjC4tkpXIb2CPqhDz/8sN6KN3kbN27UOqEwYmIIBgEIGMOGDRMYHpgAjxj4kQEDtNDA+0UokWAf428eqjg33HBDlh3l/SJLPAmVmd1zItnlC66AZjOd4WYFOju7d+/W2/FwrwTrV7jUQdiyZYt88sknejULBijQD4N7DWyvHTx4UD744ANp3759NldhdqIRgHJ5gQIFpEuXLvLbb7/pHyn4oYIxR3DOiypVqugfJZg7+IGC8pMnT5YmTZq4XPUkGgO2100APzKxqvn666/rH6nHjh2TcePG6XkCLxoI3333nXbfhTjvF6CQPAGGqzBE9DJUdM4L3i+CMyeye05kJ18450UQ7xfUAc1mruPX6sqVK+WOO+4Q+G3EzWHQoEH2WT///LO2iIWrJuh53n///dpPKI4hoGDrNVT3yz6ZkYQkAAHSrHL16NHD1Qc4o2/Tpo045wXmAVZAx48fr/1GQh+oUaNGct9997nO5UHiE8B9Amo3cLGD1U+oZZiHEHoHf8NQycH4I/B+oTEkxX8QQKtWrerZV+e8wHOE9wtPTAmVGMlzIjv5wjkv0Pmg3S/4JqQIpzQeJli9itRgBFby2JaFmxUGEjAEoD8MgRR6XgzBJQC3a/B2UKpUqYg6yftFRJiSrhDvF8kx5MkqX1AATY75zV6SAAmQAAmQAAmQQNwQoA5o3AwFG0ICJEACJEACJEACyUGAAmhyjDN7SQIkQAIkQAIkQAJxQ4ACaNwMBRtCAiRAAiRAAiRAAslBgAJocowze0kCJEACJEACJEACcUOAAmjcDAUbQgIkQAIkQAIkQALJQYB+QJNjnNlLEgg8gQ8//FBeeeUVVz/hNw+vPnSGffv2yd/+9jdnklx66aX6dapIxIslXnzxRZ0PH779+/d3lY31werVq6V27dqxviyvRwIkQAJRJUABNKp4WTkJkECsCOAVuF999ZXrcnhVaqgAOm/evLByp06dss/btm2bnX/RRRfZ6bGOrFu3TjuePnHihKDNDCRAAiQQJALcgg/SaLIvJEACLgJz587Vr9B1Jn755ZfOw7iMf//993pVdubMmXHZPjaKBEiABHJLgAJobgnyfBIggbgjYN5AtmvXLv1aVGcDjQBqyjjzEO/Vq5ccPXpUf0aNGhWaHZPjAwcOiHNVNiYX5UVIgARIIIYEuAUfQ9i8FAmQQGwINGjQQBYuXKgv9sUXX8jll1+u43g/8/r163W8YcOG8t1334U1aO3atfL111/r9IsvvliaNGmi4ytWrLDLt2jRQqpXry6zZ8+Wb775RiAw1qtXTzp27CjFihVz1TlmzBjJzMzUaT179pT8+fPb+dhax/UQmjVrJrVq1ZI5c+bIZ599ZpfZvn27jB49WkqXLh2mu4oVXvRh06ZNAnUB9Kl58+b2uc7Ir7/+KtCT3bJli35f/fnnn69XWdu1aydFixZ1FmWcBEiABKJPwGIgARIggQAQeP755y11x9SfBx980CpYsKCO33zzzXbvxo0bZ5cZPHiwHb/mmmvsMi+//LKdrlZD7XRn/a+99prVqlUru5y5bs2aNS0l6NnnIKIETruc0ud05XXp0sXOGzt2rM5TAqGdZurFd506dexz1XvmrTvvvNOznDKwspRAbJdF5N///relVnw9y5crV87avXu3qzwPSIAESCDaBLgFr+7sDCRAAsEiUKRIEbnqqqt0pxYsWCBpaWk6brbfcYAVx9MNSsDVq5RYWVXCq+TL98etFKurw4YNO91qIz7vnnvukUmTJunyuPZ1110n6DMCVjmVYKvj+G/RokUyaNAgvaVftmxZ6dChg/zjH/+wV4V37twpWJllIAESIIFYEqAAGkvavBYJkEDMCBgB89ixY1oIw4WNAHrJJZcItqBPNxw/flwLgD/99JPegn/yySftqr799ls7fjqR999/X2bNmmWfin6olQj58ccfdRpUC4zwiW15bOFDyP79998FqgcIn376qfzwww86DhUEnI+gVkJl8uTJAt3WpUuXSsuWLaV169ZSt25dOXjwoC7D/0iABEggFgQogMaCMq9BAiQQcwJGAMWFIYStXLlSsNqH4MzTCTn8r3HjxnLHHXfYZ7Vv396O7927145HIzJt2jS7WriYqlGjhj4uUaKE3H333XbehAkTdLxUqVJ2Wp8+feSuu+6Sd955R7OYPn26fPzxxzJ06FApXry4XY4REiABEog2ARohRZsw6ycBEjgjBCAkFipUSE6ePKkFUKwWmnD99deb6Gl9K11P13lO4Q1+OyMNZmUy0vIoB/+gJixbtkzatGljDl2rmFgRRbj11lsFK7QQvrFyO3HiRP1B3hVXXKENp/r27Wtv4SOdgQRIgASiTYACaLQJs34SIIEzQuDss8/WeqDYnsZ2tDJK0u1ISUmRpk2bChzOn24w+pbmfD+XTibffKenp5uo/oZwnNNgVnFxHrblzdZ8aD2mfxUrVtQC+MMPPyzwK2os8lEeKgT4KAMozahkyZKh1fCYBEiABKJCgAJoVLCyUhIggXgggK12CKAQ/ObPn6+bhNduYjXUCGin006nKyWcD6HWLzjzjDGUKXvkyBETjfi7UqVKdtmBAwdKp06d7GNnBKu/JkDnFa6dsCoKN09w3wS1BCPMwo2Tsv6Xxx57zJzCbxIgARKIKgHqgEYVLysnARI4kwS8ttpzq/+Z0/44BUan0AvjqOXLl3tWZ6zqkRm6agph0gQYPMFXqfls2LBBW8Hj/fEFCvyxvjB16lR5+umnpXPnzrJ//37p2rWrjB8/Xguj/fr1M1XJ5s2b7TgjJEACJBBtAhRAo02Y9ZMACZwxAo0aNdJ6oM4GeAmlzvy8jteuXduu8qGHHhIIh4sXL9bukOBk3isULlzYTl61apVMmTJF3n33XZ0Gl0lQL0CAE/wBAwYInMzDeX6PHj20QRGMooxACav6Rx55RAudvXv31lv22IZfs2aNNszSFan/YAnPQAIkQAKxIkABNFakeR0SIIGYE4CgBiHUBGyHmzcbmbRof+NNQyZ8/vnnerUSbUIcb1TyClATMDqrWLWEodE///lPXVQ5jpeRI0fqNyrBiOnZZ5+VatWq6X7t2bNHlxkyZIjWc8UBVj/NKixcOOGNTeCCa2AbHgH+TLt3767j/I8ESIAEYkGAAmgsKPMaJEACZ4yAc8UTgpbTLVEsGoUt7+HDhwvcJJmAV27OmDFD2rZta5Jc37CqHzFihL2NjkwIz2Y7/t5779UGRdh6d+qj4jWg/fv316ugpsIqVarolVI4pzdCrXnPPI7hmgl6oaGGVeZ8fpMACZBANAikqF/Qf3gojkbtrJMESIAESEATwK0WvkjLlCkjeCNRJOHo0aN6qxyW7OXLl/c8BW6fsE0PAbJq1ar29rxX4dTUVNm6datgpRT1Va5c2SXkep3DNBIgARKIBgEKoNGgyjpJgARIgARIgARIgAR8CXAL3hcNM0iABEiABEiABEiABKJBgAJoNKiyThIgARIgARIgARIgAV8CFEB90TCDBEiABEiABEiABEggGgQogEaDKuskARIgARIgARIgARLwJUAB1BcNM0iABEiABEiABEiABKJBgAJoNKiyThIgARIgARIgARIgAV8CFEB90TCDBEiABEiABEiABEggGgQogEaDKuskARIgARIgARIgARLwJUAB1BcNM0iABEiABEiABEiABKJBgAJoNKiyThIgARIgARIgARIgAV8CFEB90TCDBEiABEiABEiABEggGgQogEaDKuskARIgARIgARIgARLwJUAB1BcNM0iABEiABEiABEiABKJBgAJoNKiyThIgARIgARIgARIgAV8CFEB90TCDBEiABEiABEiABEggGgQogEaDKuskARIgARIgARIgARLwJUAB1BcNM0iABEiABEiABEiABKJBgAJoNKiyThIgARIgARIgARIgAV8CFEB90TCDBEiABEiABEiABEggGgQogEaDKuskARIgARIgARIgARLwJUAB1BcNM0gg7wns22fJjh2ZYllW3lfOGmNGIHP/AcnYuZvjmEfET1kn5VDmDkm1juRRjayGBEgg3glQAI33EWL7AkVgz55M2b4dAmhKoPqVbJ3J3LdfMnftFjWQydb1qPQ3XVLlkKUEUDkclfpZKQmQQPwRoAAaf2PCFpEACZAACZAACZBAoAlQAA308LJzJEACJEACJEACJBB/BCiAxt+YsEUkQAIkQAIkQAIkEGgCFEADPbzsXNAILFy4UHr16qX0SLcHrWth/dm7d6+d9sQTT8hLL71kHydL5IcfftDj/dtvv2XZ5aFDh8qrr76aZZncZDrHIjf18FxvAo8//ri8/PLL3plMJYGAEqAAGtCBZbeCSWDdunUyZswY2b9/fzA7qHp16tQpuemmm+T111+3+/jBBx/IjBkz7ONkiWzYsEGPd3YC4OTJk2XWrFl5jsVrLPL8IqxQ3n///aiMH9GSQDwTKBDPjWPbSIAEko/AiRMnZPbs2XLdddfZnf/444/lrLPOso8ZcROYMmWKFCpUyJ2YB0deY5EH1bIKEiABEhCugHISkEAACKSlpcmPP/4oM2fOlM2bN2fZI2znfvXVV3Ly5EnPcjt27JA5c+bI4sWL5dixY2Fltm3bJgcOHNDpuNbcuXPl6NGjdjmcM2/ePN9V2qzaijyz3YxroH74TC1WrJgUKVLEvoaJ5KStqBeCLeqMl5AVi9A2gscXX3whq1evlszMTFf2eeedJ+ecc44rDQdYKcdYLFq0SI4fPx6WbxLQjm+++UZ+/fVXkyR+Y2EKrF27VqZPn67nHQTVeAhHjhyRr7/+Ws/f33//PaxJmLtggjm1cuVK3ef09PSwckjIyMiQVatW6ZXJrOZMpOW8GHtdeOPGjfL555/Lrl27vLKZRgLBIaD+EBlIgARiRGD16nRryZJTVkbG6V3w7bffhuNJ6+eff7YrUA8rq0qVKjo9f/78+vuGG26wtm7dapdBRAku1oUXXmiXUwKL1blzZ9WWPxqjBBSrW7duVkpKimXqQRm15e+qp3bt2ta9995r3XzzzboutKdAgQLWtGnTLLWVaBUsWFCn47tDhw6WesDb52fXViVE23WiXnzQrksuucRS2/J2PTlta+vWrV31/v3vf7fU9rJdX04jp9ZtsNKW/2xlnu5AqgtmxwJtmjRpkm73gw8+aJ199tmaM5jUq1fP2rRpk91sjOstt9xiHythxxo4cKCVL18+/cGYnnvuuda7775rlzGRhx56yCpcuLA95pdddplum99YqB8YFuYX2mHmiRKArf/+97+myhx/H888aG1JX2odyPw9x+eaE5Sahu6js11//etfrX3q7Q8mYO5izl977bWWWlG31I8aC20fNWqUKaK/ly5datWqVcvVR8y/nTt3nlY5P8amMrQLbbr99ttd87RHjx6W+rFhivGbBAJFAL8EGUiABPKIwN69GdaOHem+nwUL0qxZs05a27b5l8H5Bw96S6ihAuiWLVv0Q/eaa66x1IqUFqqULqB1/vnnWw0aNLCFS7VSaF1wwQXWlVdeqcupFSvrrbfe0g+7sWPH6t7369dPP5RHjx6thb7du3dbd999ty4zdepUmxAelhA82rVrZ61fv9769ttvrWrVqlkQViEIT5w40VKrNxYeuhAGIBggRNJWCKtqFU6fN3jwYEvpPupzQwXQnLQVwvFtt91mLViwwFKrYlaXLl10/R9++KGu2+u/jD17rfSdu30/Jxd+b6XOXWCd2r7TtwzOzzh8xKv6iFjgRCOAgi0EfPAB7/Lly2sh1AgnoQKoMtrSfRw0aJC+llo9te677z6dBg4mPPPMM1pAfeWVV/SYYw4p1Qc9nhA0vcYCdYOpWm23UlNTLaWXrIWnokWLWmoF0lTt+k7LTLUOZuzw/exMX2etTPvc+i39R98y5vyMzPC/DcxnCNFt2rTR/cUPFPO3ogy07LZg7mJOtm/fXrfVCOqYz/hBgACBtVSpUtbll19uYd6jDJhVrFjRatGihV1XpOWyYgx+CKZdrVq1sn755RfNtGPHjrqtn3zyiX1NRkggSAQogAZpNNmXM06gfn31rk3ZletPp06HPPtiHqpmBbR3796W0v0LW+0cP368fngZIeuFF17QgsaaNWtc9fbv398aMGCApazq9cpnnz59XPkQeC666CLr0ksvtdPxsMRqGh7yJjzwwAP6es6HPYRePOyffPJJXSzSth46dEifN2zYMFO9awU0p22FMOFsK1ax0C4IZ35h16XXWDtKVsv159Cjz3heIlIWRgDt3r27qx7z40Ftyet0pwAKfhDGrr76atc5WPEtXbq0df3119vpxYsXt+688077GJGffvrJatmypaUs8C2vscCPEtSzZ88e+zwIrlj9PnjwoJ3mjCxLm2L1PlgoTz77M9wr+7iO2iLXY6qsyZ2X1W36/vvv7TTMXbTdKShjBwDpf/7zn3W5Rx55RNel1DXs8xD5z3/+o9Pnz5+fo3LZMUZluD5WYp3zVKkI6Os5/w70hfkfCQSEAI2Q1JOIgQTyisCIEcWUfqRbP89Z97ZtmZKaKlK1aj7Jl4UG9gUX5Hee5htXgqiolRqpVKmSq4zaetTHSpiQtm3byvLly0Wt4IgSJl3lRo4cqY+hW6juaaIED1e+WhmSv/zlL6JWyLROoNpW1/nVq1cXJeTYZWvUqKHjagXHTitTpoyOG/3ASNtqV+ATge5eTtqKPjvbWrZsWW3Q5NRbDb3UeS8MU3v/aqB8QsaOnaKWxiT/nypJSor/QOavUdWzhpyyCB2X5s2b63oxvmpVznUN6GaCuVoFFyU0ufIwB1asWKHToNeoBMaw8zGfoNuJcPhw+KsxlVqFqB84gjGHtwJ80D61Iq7P8fqvav4rpWeR97yydFqadVwOWzulSEpx9SnpWw4ZRVNKheWr1X1RuwACd0affvqpKPUQ/cHcV2oIrvIwboNOsQnIRxoM3RCWLVsmSt1B64hCB9QE9cNFR8GvSZMmEZX705/+lC1jU7/a8nfN04svvljrPUNvlYEEgkiAAmgQR5V9OmMEmjf/Q0Dza8CaNRnKsMeSunULZCmA+p0fmg5DC7U6GZosJUqUELVNKmqbUOeprXJRKz9h5UyCv5ZEqQAAB6JJREFUMdiA0BIaIEjC0ALCiKmjXLlyocX0sVpttNOV3qEdRyTStrpO8jjIaVvBIjRA6IAQ6xcK3dDML0unp6/fqATUE1LgsoslJUTAyfLE/8/MKYtGjRq5qjWcvdwzGT740YFxDw0YO7X1a+eZMQ0t53cMgRM/WPDjBcKe0v0U/FDp2bOnvPjii2J+pDjPL56vgtTL19qZ5IqfsA7JnsyNcm6+slI8paIrL9IDtYUuTz/9tHZphG98IJiqVWRp3LixXQ1+gISGkiVL6r8VCO7gh7n7xhtvhBYTCIXGeC+ScoZ/JIy9ymQ3T8MayAQSSCACFEATaLDYVBIIJVC5cmVPp/SwoFXb56IMSvQpWPlSuoOhpwv8ikKIqVChgs7zcnCPFRg8tJ0PyNBVpbCKPRIibavHqa4k1IMQaVtdJ8fJQU5ZYKXSjJGz70rnNqxHZjVcbdvLo48+GpZvEjAnELysreEtAMIWrOu9QrNmzQQfCLJKP1K/JEDpDkv9+vVFGc54nRL1NHhJMIKnMtCSzz77TB577DHBiq0yyLOvr3Sb7biJYC6ZVX3wU7qvgpcAeHleMOdEUs6soGbF2MxnUy+/SSBZCLj3JpKl1+wnCQSEQMOGDfWWqtLtdPUIq1IIdevW1d/KaloLbHDV5AwQUvr27St16tTRfiThENsZIGBglcvU48zLaTzSthrhFgK0V4BQDZ+X0Wyr13XzMi1SFuaacK/lDEq3V6/Sha6Mogy2crHFrCzenafobXlcVxlh6XQIXBAwzXa7Kfzll1/qbXWsoHqNRdeuXfUWNFaQsVV944032i8NgOP8MxGWLFmi1Fqq6rmK6yujOD2vIXzCVZdT3QIuyOCuyQSld6ldLSmjPZ0ERsiHb1VnUHq3WkhVOqURl4uEsfMajJNAUhFQNxEGEiCBGBHIazdMsFSHkQMMhZTvTm2MAbdJSgDRFsEwIkKA0QUsp+FaRvnttNTKjAUrc3Wz09bMKDNkyBBtiATjHFi3q4e6pfQ/LVg3K9+KKKIDDCbg3sYZYEWNupyugWDcgTRj7BNpW3EeXDjBYh8W9WrL02WEhOvmpq04H4ZbsAo/3ZBbN0yRsjBGSHAX9Oabb2qrdHgtgJERXEmZ4DRCQtrw4cM1e1hVw5hGvcJVey1QAqWlfIKa06znnntOjzkMb5TwaCmhS1t/X3XVVbqM11iolUVdNwzP4K4IdaMtcPXknCf2RSKI5NYNE7wBKMFRuxl77733dF8mTJhgqa117TLKNAFzF3MS81rpcuoP3InBUA39R4DhlVJTsNSqv/XUU09p92Uw/oPhnXPeR1ouO8a4ptffFNLxdwyDNQYSCCIB6EExkAAJxIhAXgugaDasZWHxjAcrPkpnUz+04D7GGYy7HFMOQhgEDxMgrMJlDB56KAPXNHioz5s3zxTR314Py0gEUJwcaVshYEIIRTtglR3qhik3bUU7zrQAGikLI4BCEIeQBB5wgaT0LV0W06ECKAQypY+pf5yYsYR7JbWKh0vbAeUgIJkxR1m12q0FM1ModCyQfv/999vjg3OUeoD10UcfmVNy/J1bARQXxA8mpTagGaFNmD/w/woXVCZg7ioDIv3jDAIzPpjjygm/KaK/IYzCWwDyURcEUngiUHqfOS4XCWOvvylciAKoCzcPAkYgBf1Rf2AMJEACMSCQ10ZIzibDSAj6bdj2Uw9OZ5YrjnLQ68Q2JbayQ4N6YGodOBgfqVWf0Ow8OY6krUqA1lunMBDxC7Foq9e1c2uE5KwzEhYoj77iLTnQPXRa9SOvZs2aooR0UT4jcegKyv+qfktSJByh86hWyl3n48BrLGCwg7dLYY54nRNWSRYJeWGEZKqHtTredgQr/VCDKOi1Yt5DPxRvlkK/vIySTF3YnsffCurK6m8qknJmrvoxNtfkNwkkCwEKoMky0uxnXBCIpgAaFx1MkkbkpQCaW2QQbGAVr1b7ZNy4cbmt7oycn5cCaFYdcAqgWZVjHgmQQPQJ0Agp+ox5BRIgARKICgH1ggFR+pra12TTpk2jcg1WSgIkQALRIEA3TNGgyjpJgARIIAYEoEEFlYtu3brZ1u0xuGzCXkIZnmkfuQnbATacBAJEgFvwARpMdiX+CXALPv7HKJIWxtMWfCTtjfcysdqCj3cObB8JJBMBCqDJNNrs6xknoNT1dDiNl+ec8bazAf8jYKmB1GZeHMj/QcllzBL8caTof7msiqeTAAkkAAEKoAkwSGwiCZAACZAACZAACQSJAI2QgjSa7AsJkAAJkAAJkAAJJAABCqAJMEhsIgmQAAmQAAmQAAkEiQAF0CCNJvtCAiRAAiRAAiRAAglAgAJoAgwSm0gCJEACJEACJEACQSJAATRIo8m+kAAJkAAJkAAJkEACEKAAmgCDxCaSAAmQAAmQAAmQQJAIUAAN0miyLyRAAiRAAiRAAiSQAAQogCbAILGJJEACJEACJEACJBAkAhRAgzSa7AsJkAAJkAAJkAAJJAABCqAJMEhsIgmQAAmQAAmQAAkEiQAF0CCNJvtCAiRAAiRAAiRAAglAgAJoAgwSm0gCJEACJEACJEACQSJAATRIo8m+kAAJkAAJkAAJkEACEPg/ouqUWFc1qEYAAAAASUVORK5CYII=" /></p>
<h2 id="plot-of-nyu020-20-30-min">Plot of NYU020 20-30 min</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(minute.block <span class="op">==</span><span class="st"> &quot;20-30min&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img 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" /></p>
<h2 id="plot-of-nyu020-30-40-min">Plot of NYU020 30-40 min</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(minute.block <span class="op">==</span><span class="st"> &quot;30-40min&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img src="data:image/png;base64,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" /></p>
<h2 id="plot-of-nyu020-40-50-min">Plot of NYU020 40-50 min</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(minute.block <span class="op">==</span><span class="st"> &quot;40-50min&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img src="data:image/png;base64,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" /></p>
<h2 id="plot-of-nyu020-50-60-min">Plot of NYU020 50-60 min</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(minute.block <span class="op">==</span><span class="st"> &quot;50-60min&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img 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" /></p>
<h2 id="plot-of-nyu020-60-min">Plot of NYU020 60+ min</h2>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># http://sape.inf.usi.ch/quick-reference/ggplot2/shape for shape codes</span>

dv.combined <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">filter</span>(minute.block <span class="op">==</span><span class="st"> &quot;60min+&quot;</span>) <span class="op">%&gt;%</span>
<span class="st">  </span><span class="kw">ggplot</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">aes</span>(<span class="dt">x =</span> (time.ms)<span class="op">/</span>(<span class="dv">60</span><span class="op">*</span><span class="dv">1000</span>), <span class="dt">y =</span> person, <span class="dt">group =</span> ordinal, <span class="dt">color =</span> domain) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_point</span>(<span class="dt">shape =</span> <span class="dv">124</span>, <span class="dt">size=</span><span class="dv">6</span>, <span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">size =</span> <span class="dv">1</span>)) <span class="op">+</span>
<span class="st">  </span><span class="kw">facet_grid</span>(domain <span class="op">~</span><span class="st"> </span>.) <span class="op">+</span>
<span class="st">  </span><span class="kw">xlab</span>(<span class="st">&quot;Minutes&quot;</span>) <span class="op">+</span>
<span class="st">  </span><span class="kw">scale_shape_identity</span>() <span class="op">+</span>
<span class="st">  </span><span class="kw">guides</span>(<span class="dt">size =</span> <span class="ot">FALSE</span>) <span class="op">+</span>
<span class="st">  </span>timeline.theme <span class="op">+</span>
<span class="st">  </span>color.palette</code></pre></div>
<p><img src="data:image/png;base64,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" 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