Jekyll2024-01-22T18:57:25+00:00https://njudd.com/feed.xmlNicholas JuddHomepage for Nicholas Judd researcher in Developmental Neuroscience.Cognitive fluctuations2023-11-21T08:10:00+00:002023-11-21T08:10:00+00:00https://njudd.com/cognitive-fluctuations<h1 id="how-a-variability-perspective-can-offer-a-novel-phenotype">How a variability perspective can offer a novel phenotype</h1>
<p><img src="/assets/proj_imgs/cogflucts/title_neat_resize.png" alt="img1" /></p>
<p>We set out to answer a few fundamental questions on variability:</p>
<ol>
<li>
<p><strong>Ubiquity:</strong> do we find cognitive variability in each task?</p>
</li>
<li>
<p><strong>Structure:</strong> how are individual differences in variability across tasks related?</p>
</li>
<li>
<p><strong>Discrimination:</strong> is variability a distinct concept from mean performance?</p>
</li>
</ol>
<p>For an in-depth look check out the <a href="https://psyarxiv.com/b29rn/"><strong>preprint</strong></a> or <a href="https://osf.io/z53an/">OSF</a> for code! If you have any further questions just reach out and ask me :)</p>
<h3 id="talk">Talk</h3>
<iframe src="https://docs.google.com/file/d/1Wnk3JqtNqRCUUAhXYlty5I_KAnK_FlbQ/preview" width="560" height="310" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" style="border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;" allowfullscreen=""> </iframe>
<h3 id="abstract">Abstract</h3>
<p>Our performance on cognitive tasks fluctuates: the same individual completing the same task will differ in their response’s moment-to-moment. For decades cognitive fluctuations have been implicitly ignored – treated as measurement error – with a focus instead on aggregates such as mean performance. Leveraging dense trial-by-trial data and novel time-series methods we explored variability as an intrinsically important phenotype. Across eleven cognitive tasks with over 7 million trials, we found highly reliable interindividual differences in cognitive variability in every task we examined. These differences are both qualitatively and quantitatively distinct from mean performance. Moreover, we found that a single dimension for variability across tasks was inadequate, demonstrating that previously posited global mechanisms for cognitive variability are at least partially incomplete. Our findings indicate that variability is a fundamental part of the human phenotype, with the potential to offer rich, novel insights into cognitive performance.</p>
<hr />
<h3 id="key-literature">Key Literature</h3>
<h4 id="conceptual">Conceptual</h4>
<ul>
<li>Nesselroade, J. R. (1991). <a href="https://paperpile.com/shared/Lx9CBv">The Warp and the Woof of the Developmental Fabric</a>. 19.</li>
<li>Siegler, R. (2007). <a href="https://paperpile.com/shared/HXrKcH">Cognitive variability</a>. Developmental Science.</li>
<li>Siegler, R. (1994). Cognitive variability: <a href="https://paperpile.com/shared/9YFjhJ">A key to understanding cognitive development. Current Directions in Psychological Science</a>.</li>
<li>Dhawale, A. K., Smith, M. A., & Ölveczky, B. P. (2017). <a href="https://paperpile.com/shared/miLHYZ">The Role of Variability in Motor Learning.</a> Annual Review of Neuroscience, 40, 479–498.</li>
</ul>
<h4 id="neurodevelopmental">Neurodevelopmental</h4>
<ul>
<li>Kofler, M. J., Rapport, M. D., Sarver, D. E., Raiker, J. S., Orban, S. A., Friedman, L. M., & Kolomeyer, E. G. (2013). <a href="https://paperpile.com/shared/IlCXLs">Reaction time variability in ADHD: a meta-analytic review of 319 studies</a>. Clinical Psychology Review, 33(6), 795–811.</li>
<li>Karalunas, S. L., Geurts, H. M., Konrad, K., Bender, S., & Nigg, J. T. (2014). <a href="https://paperpile.com/shared/fYHEH3">Annual research review: Reaction time variability in ADHD and autism spectrum disorders: measurement and mechanisms of a proposed trans-diagnostic phenotype</a>. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 55(6), 685–710.</li>
<li>Aristodemou, M., Rommelse, N., & Kievit, R. (2023). <a href="https://psyarxiv.com/j2n5w/download?format=pdf">Attentiveness modulates reaction-time variability: findings from a population-based sample of 1032 children</a>. Psyarxiv</li>
</ul>
<h4 id="sample--dsem">Sample & DSEM</h4>
<ul>
<li>Judd, N., & Klingberg, T. (2021). <a href="https://paperpile.com/shared/BsZ8G4">Training spatial cognition enhances mathematical learning in a randomized study of 17,000 children</a>. Nature Human Behaviour, 5, 1548–1554.</li>
<li>McNeish, D., & Hamaker, E. L. (2020). <a href="https://paperpile.com/shared/ZSJ6lD">A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus</a>. Psychological Methods, 25(5), 610–635.</li>
<li>Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018). <a href="https://paperpile.com/shared/40CDhA">At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study</a>. Multivariate Behavioral Research, 53(6), 820–841.</li>
</ul>
<h4 id="neural-variability">Neural Variability</h4>
<ul>
<li>MacDonald, S. W. S., Li, S.-C., & Bäckman, L. (2009). <a href="https://paperpile.com/shared/uQxQEH">Neural underpinnings of within-person variability in cognitive functioning</a>. Psychology and Aging, 24(4), 792–808.</li>
<li>Waschke, L., Kloosterman, N. A., Obleser, J., & Garrett, D. D. (2021). <a href="https://paperpile.com/shared/ylHYDq">Behavior needs neural variability</a>. Neuron, 109(5), 751–766.</li>
</ul>How a variability perspective can offer a novel phenotypeRaincloud Ggrain2022-12-13T00:00:00+00:002022-12-13T00:00:00+00:00https://njudd.com/raincloud-ggrain<!DOCTYPE html>
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<h1 class="title toc-ignore">Raincloud vignette</h1>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">library</span>(ggrain)</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="co">#> Loading required package: ggplot2</span></span>
<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="co">#> Registered S3 methods overwritten by 'ggpp':</span></span>
<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co">#> method from </span></span>
<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="co">#> heightDetails.titleGrob ggplot2</span></span>
<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="co">#> widthDetails.titleGrob ggplot2</span></span></code></pre></div>
<div id="the-geom_rain-function" class="section level2">
<h2>The <code>geom_rain()</code> function</h2>
<ul>
<li>handles as many rainclouds as you wish and can overlap them by a
group</li>
<li>connects within-subject observations longitudinally with lines using
<code>id.long.var</code> argument</li>
<li>colors dots by a covariate using the <code>cov</code> argument</li>
<li>handles likert data by adding y-jittering with
<code>likert = TRUE</code></li>
<li>changes orientation with <code>+ coord_flip()</code></li>
</ul>
<p>All individual elements of the plots can be edited, these are split
into aesthetic and positioning arguments that are supplied by lists. For
example the boxplots can be edited with <code>boxplot.args</code> and
<code>boxplot.args.pos</code>, yet the others can also be edited by
substituting for their name, i.e. <code>point/violin/line</code>. When
you supply a list the defaults are overwritten so you may need to re-add
them. To see the defaults run <code>?geom_rain</code>.</p>
</div>
<div id="introduction" class="section level2">
<h2>Introduction</h2>
<p>Here is our first plot which is just simply all the values of
Sepal.Width in the iris dataset. For the function to work the value you
want to plot <strong>must be given to the y argument</strong> in ggplot.
You can then flip the plot with <code>+ coord_flip()</code> as we
demonstrate below.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(<span class="dv">1</span>, Sepal.Width)) <span class="sc">+</span></span>
<span id="cb2-2"><a href="#cb2-2" tabindex="-1"></a> <span class="fu">geom_rain</span>() <span class="sc">+</span></span>
<span id="cb2-3"><a href="#cb2-3" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb2-4"><a href="#cb2-4" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">axis.title.x =</span> <span class="fu">element_blank</span>(), </span>
<span id="cb2-5"><a href="#cb2-5" tabindex="-1"></a> <span class="at">axis.text.x =</span> <span class="fu">element_blank</span>(), <span class="at">axis.ticks.x =</span> <span class="fu">element_blank</span>())</span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>Let’s see what is happening over the 3 Species of flowers. The fill
must be a factor or a character vector!</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(<span class="dv">1</span>, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>) <span class="sc">+</span></span>
<span id="cb3-3"><a href="#cb3-3" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb3-4"><a href="#cb3-4" tabindex="-1"></a> <span class="fu">scale_fill_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>)</span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>Let’s color the dots by Species, we do this by adding
<code>color = Species</code> to ggplot. The default behavior of
<code>geom_boxplot</code> is to color the lines in the boxplot showing
the median and IQR. Therefore, we need to add a
<code>boxplot.args</code> list to re-color the boxplot to black. When we
do this all defaults are lost therefore we must add the options to not
show outliers.</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(<span class="dv">1</span>, Sepal.Width, <span class="at">fill =</span> Species, <span class="at">color =</span> Species)) <span class="sc">+</span></span>
<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">6</span>,</span>
<span id="cb4-3"><a href="#cb4-3" tabindex="-1"></a> <span class="at">boxplot.args =</span> <span class="fu">list</span>(<span class="at">color =</span> <span class="st">"black"</span>, <span class="at">outlier.shape =</span> <span class="cn">NA</span>)) <span class="sc">+</span></span>
<span id="cb4-4"><a href="#cb4-4" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb4-5"><a href="#cb4-5" tabindex="-1"></a> <span class="fu">scale_fill_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>) <span class="sc">+</span></span>
<span id="cb4-6"><a href="#cb4-6" tabindex="-1"></a> <span class="fu">scale_color_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- -->
It is also possible to nudge the box plots so they are not overlapping
with <code>boxplot.args.pos</code>. We will also flip them by setting
the rain.side argument to left (i.e., <code>'l'</code>).</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(<span class="dv">1</span>, Sepal.Width, <span class="at">fill =</span> Species, <span class="at">color =</span> Species)) <span class="sc">+</span></span>
<span id="cb5-2"><a href="#cb5-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, <span class="at">rain.side =</span> <span class="st">'l'</span>,</span>
<span id="cb5-3"><a href="#cb5-3" tabindex="-1"></a> <span class="at">boxplot.args =</span> <span class="fu">list</span>(<span class="at">color =</span> <span class="st">"black"</span>, <span class="at">outlier.shape =</span> <span class="cn">NA</span>),</span>
<span id="cb5-4"><a href="#cb5-4" tabindex="-1"></a> <span class="at">boxplot.args.pos =</span> <span class="fu">list</span>(</span>
<span id="cb5-5"><a href="#cb5-5" tabindex="-1"></a> <span class="at">position =</span> ggpp<span class="sc">::</span><span class="fu">position_dodgenudge</span>(<span class="at">x =</span> .<span class="dv">1</span>, <span class="at">width =</span> <span class="fl">0.1</span>), <span class="at">width =</span> <span class="fl">0.1</span></span>
<span id="cb5-6"><a href="#cb5-6" tabindex="-1"></a> )) <span class="sc">+</span></span>
<span id="cb5-7"><a href="#cb5-7" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb5-8"><a href="#cb5-8" tabindex="-1"></a> <span class="fu">scale_fill_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>) <span class="sc">+</span></span>
<span id="cb5-9"><a href="#cb5-9" tabindex="-1"></a> <span class="fu">scale_color_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>) <span class="sc">+</span></span>
<span id="cb5-10"><a href="#cb5-10" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>It could be even more useful to see the different species of flowers
side by side rather than overlapping. The y value must be a factor or a
character vector!</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(Species, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>) <span class="sc">+</span></span>
<span id="cb6-3"><a href="#cb6-3" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb6-4"><a href="#cb6-4" tabindex="-1"></a> <span class="fu">scale_fill_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>) <span class="sc">+</span></span>
<span id="cb6-5"><a href="#cb6-5" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>We can flip the plots by adding <code>coord_flip()</code>.</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(Species, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb7-2"><a href="#cb7-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>) <span class="sc">+</span></span>
<span id="cb7-3"><a href="#cb7-3" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb7-4"><a href="#cb7-4" tabindex="-1"></a> <span class="fu">scale_fill_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>) <span class="sc">+</span></span>
<span id="cb7-5"><a href="#cb7-5" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>) <span class="sc">+</span></span>
<span id="cb7-6"><a href="#cb7-6" tabindex="-1"></a> <span class="fu">coord_flip</span>()</span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>This plot is a bit crammed, lets spread stuff out using the
<code>boxplot.args.pos</code> & <code>violin.args.pos</code>
arguments.</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(Species, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb8-2"><a href="#cb8-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, </span>
<span id="cb8-3"><a href="#cb8-3" tabindex="-1"></a> <span class="at">boxplot.args.pos =</span> <span class="fu">list</span>(</span>
<span id="cb8-4"><a href="#cb8-4" tabindex="-1"></a> <span class="at">width =</span> <span class="fl">0.05</span>, <span class="at">position =</span> <span class="fu">position_nudge</span>(<span class="at">x =</span> <span class="fl">0.13</span>)),</span>
<span id="cb8-5"><a href="#cb8-5" tabindex="-1"></a> <span class="at">violin.args.pos =</span> <span class="fu">list</span>(</span>
<span id="cb8-6"><a href="#cb8-6" tabindex="-1"></a> <span class="at">side =</span> <span class="st">"r"</span>,</span>
<span id="cb8-7"><a href="#cb8-7" tabindex="-1"></a> <span class="at">width =</span> <span class="fl">0.7</span>, <span class="at">position =</span> <span class="fu">position_nudge</span>(<span class="at">x =</span> <span class="fl">0.2</span>))) <span class="sc">+</span></span>
<span id="cb8-8"><a href="#cb8-8" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb8-9"><a href="#cb8-9" tabindex="-1"></a> <span class="fu">scale_fill_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>) <span class="sc">+</span></span>
<span id="cb8-10"><a href="#cb8-10" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>) <span class="sc">+</span></span>
<span id="cb8-11"><a href="#cb8-11" tabindex="-1"></a> <span class="fu">coord_flip</span>()</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>Instead of coloring the dots by Species, the package offers the
ability to color to another variable such as <code>Sepal.Length</code>.
This will allow us to visualize how <code>Sepal.Width</code> and
<code>Sepal.Length</code> relate to each other in each
<code>Species</code> of flower. We can do this by adding them as a
covariate with the <code>cov</code> argument. At the current time the
argument must be given as a string.</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris, <span class="fu">aes</span>(Species, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb9-2"><a href="#cb9-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">6</span>,</span>
<span id="cb9-3"><a href="#cb9-3" tabindex="-1"></a> <span class="at">cov =</span> <span class="st">"Sepal.Length"</span>) <span class="sc">+</span></span>
<span id="cb9-4"><a href="#cb9-4" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb9-5"><a href="#cb9-5" tabindex="-1"></a> <span class="fu">scale_fill_brewer</span>(<span class="at">palette =</span> <span class="st">'Dark2'</span>) <span class="sc">+</span></span>
<span id="cb9-6"><a href="#cb9-6" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>) <span class="sc">+</span></span>
<span id="cb9-7"><a href="#cb9-7" tabindex="-1"></a> <span class="fu">scale_color_viridis_c</span>(<span class="at">option =</span> <span class="st">"A"</span>, <span class="at">direction =</span> <span class="sc">-</span><span class="dv">1</span>)</span></code></pre></div>
<p><img 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m+7TCy3DKWVMJRVkfAJQe8Hb3aqJE/b+cXTUk5HmfS8/JQkOeAPHOj6z3AXZ83Chj9Wuvzyy/H000+jd+/mdAQ2PicTQuDYsWPxwgsvCNwbFjxLlizBuHHjrKf57N9AgtLo+9QdqD9wBBqyb4UO6AltiPOZ8LYT15HWFN8vHT//8gvmz59ve0huSw74JAcU14A648qCBQvAsT9s8+GXioXVtddeK2KF5s6d29npPnFcGxqMiBEDEX5af5eFj3WiiUP6YsuWLdATsL0kyQFf54DiGlBbBrEXy5bYPmSlCy64AOeeey4aqYxNBNXRktSeA0kkgH77ajV+/fVXTJkypX0DuUdywIc44HUB1Blv2LbjC/adzuZhe5wrYeg3/AQzGZC1pOmRhAW0ZM8aOx66hOZMd9v2jrY5Hig0OhIc1CkFkCNOyWO+wIFuX4L5ApPcGaOlvh5Vb7yGJoppatq/DzUff4iGX9ahiaA1ql59BcbsrkFssCE+cUgf/Lh2rTvDkudKDqiCA1IAKXwb6ld8B/aGaSMjYS4phi4uDub6ZvuNLoGAxlYsh4ZigrpCPYb1Rx6B1LMBX5LkgC9zQAoghe+eiZAMNcFBsHCMEy27QBqMhv8SXrSGIrnNjXpobADLnBkO24FCI8PbhTI4c65sIzmgJg5IAaTw3QjsnQFzZRU0HLfEnyaDiAvSBIfATMJJG0hC6ET6ibNDCaJYooiUBCxbvtzZU2Q7yQFVckAKIIVvS8jESdCQR89EeM7aWFp+NTYQKFl8M1QrRX9HzrvBpaDEpKH9hAZUTzYmSZIDvsoB1XnBfJWRHY2bNZ+Y2/+IpgP7YSHtRxcbKzQfNiYHkHaksZOcm0C2oZhUxwBmbAdid/zGjRsxffr0ji4v90sOqJoDUgB54/aQsAkaNMTpKzF0SWW+4woY0WlJCKc8M3bHSwHkNGtlQ5VxQC7BVHZDujKcBOmO7wq7ZFsVckBqQF64KY2b1sG4cSW525uoJE8vBPXMAOJToB0wyiX7j3XIPdgO9MsO4Y7PyKA+JfktB47n5eO7JcuxZetWRESH4/TTR+Kqq66gKt++/Qr79uh94HHTL/kAlm0roGP3u4Zc8Vn5MBzZAw2B1GuztiHggptdnkXi4D7Cpf/TTz9BCiCX2aj6E3NzjuK+P/8VW3ZshZ6cGCaTGat+WIOvv/4G7733docgf6qfGA1QLsEUvEuW0gKYt60mLutgEa52LSzEcgtVRtUEhcJSUwHzkX0uj4Dd8XG907CeBJAk/+XAkw8vQi2V9G5sakQ8eVATExPQUNsg8LC++uqbDifOWFyrV69u+VRWVnbYtrsOSA1IQc6ba2tgtmhP4B6awPHOpAfRP2ZYDI0UG0QJt/SL5g4lDM7Ar2s3ggHcfF0dd4cP/nyuwUDeU0LVDCY0TSb2oLLqEEgxZEVFRR1O/a677moFXseFHu69994O23fHAakBKch1TVwCCRmKgrZQ1DM9Maz/EBaruKImlOBkG2qgiY53awQcFd1Q34CdO3e61Y88Wb0cGDi4P5r0BrH04lEaDUaYjWYSPsUYPHhQhwNnkL+xY87FH257Fglkc3RUDqvDThQ+IAWQggzWRsUh8ILfk9ChXyyzUZSI12gsFJgYJ9IvtEPGQ5Oc4dYI4vqkIZBSPX4hkDJJ/smBBX+aDxEbFhUDxk6vqKxAcloPnHnmJIKvmdnhpI8fJ3sjLduioxJIWwoGa1JqI7kEU/iOBI2YSJAbaWj85XtoqBJGYHoqNCnpJIRi3BY+PHSulhFPWNE//fwz/vjHPyo8G9l9d3AgLi4Wb777Cn75aSOV585CdGwkemf0xqRJZzg9HI2G9O8u5hw63bkbDaUAcoN5zp6qS+uFsMtvcrZ5l9slkh1o15erUEu5ZRLIrcvs84kTggnGd9o5U8TH2QELW9GJxhZa+ltLXjl7vjfaySWYN7is8DWSBvel5HqzzI5XmM++3L2JTABqdFJIDUjJp6q6DKbs3TBThQ+jnlTg8GgEpafBmH9MuOaDR4ympVik2yOISk1EWEwUOB5o+vTpbvcnO/APDtguuUzkJe2oKGh3zlYKIIW4bykvhHHFe7CQh8pQkEe2Gg2aTNHQl1cgMKOvwAIybN2AsKtu8MgI2B2/jkpbS5IcsMeBJoNelQJILsHs3S139xHYmHHVR0BQMIzFpdCERsISSG73yhLaDoOxrBwa8mhowyOhX/Wdu1cT53NaxjGqHMvVYyVJDrTlQFOTHuHh4W13d/t3KYAUugUajvnRUuAYR0ALDwQHIFIYoo6UTkNT81Wp8qu55mTVVHeGkjSUtCpCWlwrsaLdYaNfnstLsSZyx6uxlLkUQEo8ciRoLJHx0BgoypkFEGlEFAxEAoj+cCwGCSQmS30dtATL6gkKCgtFfN+eWEWh95IkB2w5YKAfPBZCUgOy5Yo/b5OACTjjAoEDzZVR0UjleAyU/xWTCjM9DLoeSVQjvgIGwoM+55n/4LrrrhPc4LpogwcPdpkzyZkDsYnqhakx4tXlSckT3eaAgew/TGrUgKQR2u3ba78DDUVBB1y6EJaj+6GtqYFJb0ZoWDQCSPgYiwpoKaZFbXwPlL/4JnpNyERs7xSUUPnmgh1Z9jt0Ym8KVV/d88UPWLNmDS688EInzpBNTgUONFHeIZMUQKfC3baZoyY4FJoBp4s9Opv9QSlpzd8qKsRfNiCnjxlGaWIWtwRQRGIcYtKTsZzA6qUAsmH4KbppDUQ0GptTMIKDg1XHCWkDUt0tcW9AqaMGC3c8R0VLOrU5YI0DMpmaBVCQh+yNnuSqXIJ5kptt+2LjcwGB0ddTWR7yiFkoF4xwOIBYcocGhUFrojLNHqa00UOx95sf8cMPP+Diiy/2cO+yO29zoKSgElvW7oOJnp0xU4YguWfX0RPMJwpf6ihvUG3UZQGUn5+PqqqqVvOIonrnaWknlhWtjpzKXyyw/PweoK8hwUO1wEqPCKGjSY+DpYwcYXFpCCXPxMCeZKT2IPEyLC4jDV9/840UQB7ka3d0lZddjH/c8S7Vs2wO4fjizbW4++m5GDa6j0vDsS7JXDpZoZOcXoItXboUMTExQtAMHToUtp8///nPCg3Pd7u1HNtDiIelZPmLoQBEqnARROBjmiaqC8Z4QKQNVZQQSmIobrwgE4H8gHmQ0scOw8YNG1BSUuLBXmVX3uQAazzP3PshIiJDkJASg4TkaPToGYd3n11GGHYn4sg6GZBV4GhPhH0waJ3ayGkBdOuttxL2yLlYT+H+DPVo+3n55ZfVNq/uH099BdX8ojwvVn9ZwJD6q6GYIA0bBAmiVcQG0YMRSih3wZSm4UkSBm3qcMmSJZ7sVvblRQ6YySHBNpywyNCWq4aEBlEMqwF1Nc1u9ZYDJza2bNmC//znP213QxfQjKTY2NjsDWvXoBt3OCWAqqurcfz4cTz77LOYPHkyMjIyWn0YeU1SGw6E01rdSDechQ1/TARIRr9qFq5iQJnJAp2MQFp1JHwaTRSk6EEKprrx7Fn78quvPNir7MqbHNBSVHsiaT7VFXUtl22ob0RToxHhUSeFUstB2ti+fTteffXVll1WI3QQpQQx1dWd7KulUTdvOCWA2MbDQkfmGTl/tzRpQ2j5FQ1NVSE0HBXdRFHRmmDSigIIDdEATVIaQUPr8cLHW2CgXzpPU8/xp+FAVhYOHDjg6a5lf17ggC5Ah+vvno3a6gYUHS9HaWEVSvIr8IfHLkNwSLNG4+wwQkNo+U/U1nbr7PlKtnNohN60aVOL1Lzmmmtw+eWX44EHHkC/fv0I4vEkE5KSkjBs2DAlx+l7fdPySjNpHpBPVS/01bAMmUZCiFVg0oToF0wTHI56YzgO5j2GsQrMLoWiooNCg/ENGaPvueceBa4gu1SaA2l9EvHP//0Bm9bsJRxoE0ZMHIDU3gldvmxQUIgAsOeKu2ojhwLoxhtvxG+//dZqzLfffnur7/yFBdMnn3zSbv8pv0NDtp20oSIFzNbKY922nAhEVIJPusAAJI8YhCXfLsHdd9/dXElBiQvJPhXlQHRcBGZcNs7ta0RFxQs8abc78nAHDgXQVqrCaF1HOrquM/EFxcXF2LZtGwYNGoQ+ffrY7Y6XeOzmtxLXQBowYID1q/zbRQ6wMfqXjbtExYyRI0d28WzZ3J84EBOdiCNHjqhuSg4FkG3o9owZM/Dll1+2wxx+++23sXLlSvzvf//rcHLffvstPv30U0LxP5MqOb6HuXPnYvbs2e3av/HGG6LOEbv7mTIzM31WAFko672BKlWYC49QzKEZgX37UgBiMozZ+4HjB6AhLCDN2DnteODJHYmD+iCYsuRXrFgBKYA8yVnf6ys+LhUHD25T3cAdCqBfKbP6+++/F4NmuM9Fixa1QlUzmUz4ijwtjrQU1qBYQD322GPCkD1ixAj8+9//tiuADh48iKeeegq9evVSHaO6MiAL8aXs2edhzj2I8GSq56SjQoQHfyFMXqoPRmHxFrOOChaaEXbwV6RHKpefo6WE16Th/fHDqh9w3333dWUKsq2fcaBHUi9s2rIcZWVlorqqWqbnUAD1798fXF2R4we4phAHI9out9gQnZGRgb/+9a8dzoeDoV588UVxnPv4mcrH8Dltqb6+HuWEnczBc+vWrcPUqVORnp7eqpler29RI3mppkaUfx5w7XfLYT52GEGJgQgIM5IHnmoyVemhiyJvF4fDi5B4MuIbm/DP6X3xQqtZevZLMgmgzZu+xLFjx9CzZ0/Pdi57UzUHrIGIPMjU1H5irOyqP+ecc1QzbocCiG0wLDCYOLual1muln3hWCL2pDU0NOD1119vx4DDhw8LQbd582aEElLgnXfeiRtuuKGVprR//35ceeWVLedyeIAayVRErncSzrpA8niZmyMdGBOaQsuEQZr88AKfjOvEJ4crpwExbxIHN9vbNlBktBRAanxalBuTrf02Pi6F3t1oUTnFZwQQu+2s4duvvfaaqDtlL8ua0fatdpuO2MnCgl3CrN1wVPXXX38tBI21/ZAhQ4SNKTa2OTeKta/Fixe3EkC87/333xencIjAHXfcYT1dVX91iT3QyOVzDeSKD26O8bFQsKGGRymEj9gS0dD1FJwo4FsVmkFwRBiiU5KEA+CKK65Q6CqyWzVywFYD4vH17jWUIHvXOVyxeHseDgMReRmUkpLS6Wf+/PkdjrupqQkbN24Ux5khU6ZMEcKqrXu/srISFTZuabYDFRUVUSYD5041E2tfY8eOFR8WRmyDUiNFzDwbWqrFrS/Sw9RE0c5oRGAk1YjX0bKL50NZ8pySoQnUYuHKg2ARpCRF90rG7j27lbyE7FuFHLDVgHh4/fudjtzc5jQqtQzXoQD6/PPPsWPHDvG5//77MXDgQKGlZGdni1rkjzzyCK0tUx1qImwn+u9//9tSNC+LonPZENa7d2/Bg9zcXLBth6M0OamVl2jMOPacsbBSq53H0Q3U0BIy4cH7EXHJZTD2GAP0G4uAaZcg4JI7YRl2HizxvaDpPRx1l/wfcivt5/U46r+rx6LSkpCbk6tagd3V+cj2rnGgf98R5AgJxLJly1zrQIGzHNqAOGaHiQUCrxvZhT5r1iyxj2N5Jk6cKB7q5557jupUTxL72/7DWg/bc1gI8TKOXfvsEbPmjy1YsEB419g7dumll4K1KV728ZLtiSeeaNudz3xnG1D4rPPbjTewd+bJfTYa38mdnt8KJ1xq5mlhYaGETfE8e1XbY9slWDAhdPbvN5I811/DXkBxd0zEoQCyDoi1EtZQ7Lnbe/To0WKotrZv+5djUFgA2atdbiuNGZz92muvFe3UamBuOzdf+B4a01x9lT2MErfJF+6YZ8bYdgnGvWYOPxOffP4sOHN+zBjSzruZnBJADGbN2s5f/vIXvPXWW4iOjhZLpR9//FFoL87iATnjQeMll78IH0tpLizHf4O5uAAWPRmjK6laKuEBmQJiETD6LCC9eRmq9DMQGBYiLqHGZETr3PllKd9yAIaaeoQkxSBmeLP3znr8VP9blVOEiqx8BBAkR3ivRJQfKIAuKBA9Jw2kv069xoKF/fpm0vsbLzzaPiOAeOTskWKIT0485V/RgoICYbu55ZZb8Kc//elUfz7azz9nEyw7voaxkOrDF9eRmZkEzwkcKY1Fg+oNW6AbNV5h83PzsDgvjIkdAmqlPY+/j7q8EkIu0aKxvAYpM0ah/y3to+XVOn4lx3X0h53Y9eZqBBKSQm1JNWryKhDJApowg3a+tx6znp+H4A4gOtqOS0NJ0qePmE6FC77Avffei+Tk5LZNvPrdadHJGfDs+ubPrl27hJbCHilGRpTUhgN1ZTDv/AaWRgOV4KkXcYfGhmYIIOHvIq6Hxlig370DY6Mjseuz77Hv27UwNOidyr1rc7VOv3K1Daa2NoFOT/RSg+L1u1G5JwdRQ5oj4IOSolGyYS8SJg7tUBNix4Ut4iNr6Ry35m9UX1SJ3YtXIyo9XniEi/ZSAC7/oNTVI2pAGmoKKrD9rR8x4Y7z2k29o/t9+sjpOEqIne+++64QQu1O9OIOhwKIUzF42cRQG1zy1xoTZBU6rAXxh+1Aw4cP9+KwVX6phip628nBqKcwAQp85uUF/S+AEXnkZqMZGsJ74ZSNnqEh2FRYAnimQrNdxpgoJomJAzzVSLU5BQhJiWsZGhWwpoqxARTGQGWLTizFGIGTg2I5lomrO7BX9rvvvjt5Djk72J7IzhF/onrSeIIiQuh50cJY3QgtPTda2jZUN4OLRfSIRllWgd0p27MBccPQkHDEx/WiZdiHIiaPTSrdRQ4F0E033SQSQjkC+qKLLuoQ0EjCcbS5fVTxQhA9KFyRmVZcglgP4ThERrsTQoligkqblMfpbaoj9YtIrba14PhomAjtDzHNwFk8VmN1PQIiTgpM1rrZK8oR+SyAWOOZPiAZZw9OgYk0vMeW7RIFGf1NAAURJKuZkTTpudEF0o8WbZgJGyiAsJ6YGqv1HS6/evSg5GfDiWdRtD75z4Rx52H7zlV45513utWE4jAOiPNGWE1jYjgNzgmz93GUCX9yyqfQVlQytBljoQnTISAmmDQdIIDswCx8WDGif6GvoF/5Xn2xvqISY2+8BJf850FkXj5TkWVSQ2WNYD7b79RIyeeMgi48BLW5hZQzV4+6YyWI6JOChPGEKtkBcUhBLQnvcQTQNZGAu4anxmAtOUX8jaJ6J6LXOZko33uMqusaEB4fjibChA5OSUBdcbXYN+le+6gKRZQS1Kivt8uSyMg48oidhbfffqdDxcLuiR7e6VADeuaZZ0St8unTp6v219PD/PBcdyPmQEtqbmDiFmjz82CqNkBXVyVKNBsQgbCp06AfORrmdz/w3DU76KmhrBKxcXHCgdBBk27drSNg/jHPLkD+is1oLK0iL08PJJ15WpfGNIEE0Zsbt4BzDtWq6XVpQjaNh8w9C7EDUlG8IwdpU4YiomcCSvYV0I9aEPrPGoGwxOYwC5tTnNqcNPFC7Nq9DgyDw6B13UEOBRAbnB988EHxqzxhwgTMnDlTfNj47IsRyl5ncM8R0NCHmWyP0Y1eCkSsKSoT6S8dGSW9zhc7F9SQ9yvt/PF2jji3a1LfRLz68wGxDGNzgb9R8tj+4I+Vek7uWDu0tunsfrMWdPrIs8Uqh2PwEhK6DvdqvZarfx0uwb744gsBkcFJpBzpzEY+BhXjgbIxkCWnBKp3lfUdnxdH2kpUsucehtrCUgz0c2TJlOgw9Cfv2bJlJw3THXNYHrFy4IyJc4R9yV45H2sbJf86FEB8YVZnzzvvPBFw+Ash/HHSKKMbsmfsww8/FF6H2267Tckx+kfftPyyHNkN8/4NMB8gqNvcvWSdPploaztJxkWqJqHhCWIXfPXxYrGU9kR/SvZhIEP00Z+ykEuliBvKa7t8qSn9Eqlu3U/datPo8qC7eEIJBSN+eOcHeOf2d7F/XZbDszvygtmeFB4WhXFjzsNHH33ULcqEvZWB7fhabXNdIXbHsyBifBnG7mGvw2mndW293qrTU+FL6TGY131AZeEpELCMoqKpTpg5IpUKEgYhlNyqSlJtcRkMjU2qr1rSSF6vH/76MZpqKTmXjPXs6Zn25OWI69vDafZMH5iCxRsPCeA8hv31N8pasg3/vvVdCiglnCni0bqPfsXF983GnPva5xx2Ze7jx56HbTtWibp/zz//fFdOdbttpxoQw2awMZqTUXlpcNVVV2H37t247LLLRCG0Q4cO4Q9/+IPbA/HXDixNeph//hgWSgS0VJbCwjWaSADpLHpoDI24pJ+ywXMVR/IFa9VeNmnNQ5/BTF6eCFpGcWxLCC2pfn1+OQVnOh+9nURljEdSwN7nn33md49TdV453vrzh2giwRwcFoSQ8CAEUUDidy98j+xtuW7Nl8v2TJ54sTCxcLiDN8mhAGI4DAaG56XW+PHjBT40Q2kwmBhn03J0tCTHHNDUU1CiwAGidiR4RDRiILnmm2phDo3CoDj7cRqOe3X+aMURChRN7tEtBkbnR0kxm+R+D6ESNFYKImHCSzK9TWVQ6zFHf88bkoo99KO5b98+R8187lg1FSes0xupvtdJjVlHeFIWiiXL3XHM7fmcPnIaBScmEyb7P93uqysdOBRANTU1wnvCOECcCc8gYLYFCbtyoVO1rSWIgulIX9aw8GG9mYlLM1MsEGtAdfSLpiRVkQY0coT6S/KExlF8Sx0Xbmwms8lMAqgJgV2ErJ3cLwkxlHz7wQfKhzdYx+qNv8EkkEOCdDDalPFm+56J+BTTw31oYi09n1POupyy5Ddj9erV3piSuIZDAcRIhmxwZnB4rgvPf1kj4qz4VatWiaBEr43URy+kISMfBp8BS00ptGFUiqeuEmBbUCh5ucwGvLbbfhi9J6ZrplSPymNF4p55oj8l+xhz6zkUWFeF+tIa6CvrRXrBiGsni6VYV64bSO7884em4BvS0m0RNrvShxrbJg5Nx9TfUdwYpdU0NhhgIG1Ir29Cn9EZGDV7hEeGPHjgWPRMHyC0IGvalUc6dtCJQwHEIe8chPjPf/5TJKByZQUGF2MUQ06/YJsQ1/fiemGSOuaAdsA4aKf8HhhE0dEsjPpPJJTEUWiaNheVjcqlYrD3y0RAZL6Qpxc/KAWzX7oB6RMGoEdmL2GA7n+ea5rbhaf1JM3A6Hda0Ox/Xo07F9+ItP6JSEiPxQV/noX7l93V8YPnwpHpU6+m9zvHa5WOu+QFYxgOLtfMgV7sCWOIDo4RCg8PxyWXXOLCdE+dUzQp/cEfJqvUV7I0M1+n4mizdqV2AzSPlSmcjM+j509v/uLGv/G0bDtnYDLee/cd8bxy3pi/0LCLR4M/zlBngYj2+khL7Y8hg8fjhRdeFHl3zmB42evH2X3Wd8Fhey4Y+Pbbb4Oxf7h6BcOp/vGPfxTwB7zWfvnllx2eLw92DweqaPmV3jMdkZGuhep3z6g9c9UraWlSXV0jHCie6fHU6WXalCsIlbQGr7zyiuKTdqgBsXv9M3JpciIqL7d4OcalcNglzwZpSZ1wwFRJsT+UCKqvJZMzeb4o8NBSSGWZNWSYTuPYqZMejU56culw9fEijB4y1KVzvXVSzW85qC+pwr4tR2EMi0DmucORRIZkdyk9JhzTSQt6/bVXRegIa+m+TE0UorD07fU4/OthxFAmfDp5+waeORB9RzZjKNmbmzOBiPbO4zryY0afKzLlOexGyXpyDgUQl8ThyqgscE4//XSZ/2XvbnW0T78X5qbjVCa1mFpQxHNZBSwV5JInbA72hVm2f4uAMcoGy1Xnl2DQ7EEdjbDb9x9+9mOwAMrenAstlSkqMEdi7XPLcc3rN2HwVPfHfe24vljzwQZhKmCN3VdJT97BeeMeQUFOMYLJaRpCHqtI8ojFxEdh8jUTMPfxSzyOojBpwoUUzvAz/vGPf0DJNA2HSzBWwbim+OjRo6Xw6crTayymOJ8j0FQXQ2MmMCABh3HC3U5C3aIjuU+4x6HbPkUMBZSZmtir0QgrcFhXLtVR2/ryKtGnvUICHZ3jzf1l63ei8pfd2L8tD+TQQSMFw6UGEcpfiAaf3knwrGXNgFvujCmVghlnD0vFm5SzaIue6E6f3XHuA797CceyixBCv1yRAQH0LhJ+HUVDN1H0+LYVu7FrtedjnriCxpQzfye83dbqyErM3aEAcuaCv//97/F///d/zjQ9ZdpYaOkFDRUipIWXMDlT/A+HAGmCg5pjgih2Q0sQFBaKBxqQGIFt73+Lb+/6F377ynPxFzUncsnUulSu25eLUILdMJMXkIG2OC6KSzhGEIuMFBuV91ueR56Xa8f1g5YAmbh0lK/S0dwiStkJgI7ApOjnS/CKHy0DPVRagxk5O48qMjWuoJGa2hePP/4EDAaDItdwWwBxbBBDsko6yQGNluw9J8QPRz7T/ySH6B+bSq78GGkppuOGWxcK4z6fzdVFFi1axJtuUw2B4Wt1OnCFWTVSYGwUTJRmwfjG5hPBdTqqEWskHyGnZEQmeMZwHkNVJH4/pg+4yKa30ww8xfeYuEjiDD9RInxVdEsxiARwZ4GRPlEJ7gci2hsre9HOPXsejhzJFU4oe23c3ee2AOIXxtmyPO4O1mfOD0ynyGcyNHMQIppgCedoaLL9UOAYKFCObc+W44QD3X80zr70GkyePFlM7eyzzxaVRzwxz1rCAEpLT1Nt5HrirPEC9zmdcuF0FKsUZNCj0axFUUkjBs3KROrQVE+wQfRxcWZP9KKX+NFHHm5V6ttjF1C4o4WLrgCDttVRbJOBlvBmcmYE0zosmADJksnQHjEwUORmskeaI6MvvfQygZntiWGlpPTFyMypeOmll5Cf35xX6Il+rX04NEJzWeb6evuQjtYO+C/jA3G6hiQrB3TQhFPAoe4QfYrIEF1N8Kz0QqVTYmphDjQNtAQbeSE0g6ZYT/D43zrKgh/ap6/H+/VUhwGRYRjyrz+g4JPViBh8DLs356EsMALT54zC9AXTPHUZ0U8ACf0/nTUQ93y1Fe+//z7mzZvn0f6V7mzEmYPwwabHsGjB2ziyKw9xhKDQi1ACxlxGP2A3nIlN237Fnj17CPNpNOVz9cWxvCyqxELPoFC93R/dVHLLHzi0VWBye9o171AAsX2Hs+E7IwlKb49DtPQKGSA+iD55XOclOV1XXI4+Z3j2RT45C89sceWLtN/PRBp151rMs/PjGJEeh5nkun722WcwY8YMpKSkOH+yClqm9E3CCyvudTiSs6ddjdiYJHz9Lcfv1JPdkRdt7hNX0Zg+5Sos+e41YZRmTd1T5FAAMeYPu+I7I5mg2hmHvHucPWp1FdXo21e9GpB3OdJ8tVupiuimIxvx0EMPEprnm90xBJ+95mnDJ2PXnvVkkH5cVEn2VHS5QwF0KkbQeuwJ4V+f8mOwGJugiaLAOoLewPHdQNUxyjmIA3pSOL020GOXs+2olgzQTL4Al8K/0luX7MCR3ccRnRyFoVMHI9UDgYi2/LBuR4UEYiEtxZ5c/pPIX/SV9KG9a/Zh96p9iCKP6ZhLxqDoaBlCI4LRz0EQonXOnvw7a8b1eOPtB4Q9iKuqeoIcCqC2F2hoaADjAVkzZU3k1eF646WlpQKsvm37U/Y7vVSW7V9T4CEb7cjobGoEhwNpayk3i2rzMIyCJnstNJMJyI3sHp6mqnwOfoSAUPF0357sj/nw7O9exv4Nh2GkWCiOVQgh79elD8zBjOsmefJSLX1N6d8DP/brgb89+QTOOOMM1XtwFxMI2Yq3fhIBHQxG9vbDX2HwtMForG1ExvA03Prs1S1zU3ojPj4F48eeLzxiDEjoiR84ejucIzbecQ4Yh2X36dNHfDjGhIMUOV1Dkg0HDvwMS9kxaEKj6UPuZGMjNEUHSQKRFCJwMk0AxQhVUvnmXZ9SkLTn8YCq8ooECJnay9N88shXyPrlIMX9kBeM3OWB5NVppADEZS+vwuEdR20Y6tnNP00ZDC15lB6iii9qpq3f7cTS19cR8qEOQcEBwqjc1GRC0e48pJH3K2dPPn75aluHU/CUEdr2AlzKJyIihgzST9rudnnbaQHEGEC/+93v8MMPP4jkRsYKevHFF4Uxj8O1JZ3kgJmWXgi20WwoF4yDgRi9ThDJIVGhsJogWo3uR/yevHLzVvWxQp+A4Di8OUeUGtadwMXWkIBm3DYT4d0cpRroSlEsQZryUmztunWqhpLZ9f1e6Ki6LvPHzFozPTdcvqjmBEpkfGo09m/KUYpNdvsNDAzCNDJIb9jwi8CHt9uoCzudEkC8zOJKlE8++STYAs6aUExMjMiI51yxv//97124pP831YY0az0tM+XUC7YJCUX6xF6uiEGxHBoP24EYhIxhOEZkegakqmUOCmxEUpVPtgHZemusCmFoFJWSVZCmUlnnySeWYpxsrUaKTiIAO/Hc0Oj4R4uIE5rZxc7UWE8Bm4Qk2RHZ8rWjNq7sH0pwHWmp/fD008+0uneu9OWUAGKLN3u6QkKaH4rBgwfDmh/CWNG//vqrK9f223MsAyZCYzLA0kiaDy2/oAuhX3paenFtZhY8dIzVY+3Q6VSxkIIUPUgVufkip4yXxmqnyx66EMFc45wioY2NBjSR5sO/8EnkLh9LwYhKEy/FNLQUe/TRR5W+lEv9n/+nGYgluNV6SkZlYcLRzxwOnTGmNyqKasTS9YLbprrUt7snnTX5Mhw4kCXc8u705ZQAYuEzYsQIPPLII2Cc6JEjRwqoVs4P+e6774Q9yJ1B+Nu5moh44KwbgViKcKEqGJrh5wAX/w2WmN4UmEj2n2jyik2+CUg83eNTL8nKRXBwsE/AsKYOTsHj6+/HoMn9EEGA9EmE9HfRwxfinrdvEksPjzOnTYe8FFsweYB4ibyJg9xmGB1+DSFgtZd/+xtOnzKIQP9CkEHVXy9aOAPpBM86aGwG/vTfeRRs79kfsA4H0+ZAn4zhSE3pg7feeqvNka59pbWBc8Qp+XPmzMHUqVNF7hL/wjJaGnvCGBVRUmsOaILDoRl5Qaud2qm3t/quxJfi3w5jPJXRZjhdX6CYlGjc+9Ud3TbUcwgKdsfxCjxMsUHjxq0Uz3S3DcbOhTlR9/4l3ccfO0Nq2cVlnZcue4NyxY6gd+/eLfu7suGUBsQdcj14LsPMVVIzMjJETTBGQjx8+DDOP//8Tq/J6+zly5cjJyfHYdusrCysXLlSuPYdNpQH23FAX1WDspw8nOPBSNV2F1HJDk7/iQn1TBzVXEJPrKyolMieXby3DGIfQPbNFStWdPHMk82d1oD4FM4LY1V1586dAo51zJgxTkm+b7/9VizZuK78e++9B65ayWD2bYkhEzj1gzFsWLj9+9//Vm02d9uxd/ydbEGohaW0EBpjEBmdqfJn+WFYyPaj6UdLM3ZteIiOb9sncJsYQM4niIwa5Zv3o+FIHhpqGmCMT4SOCjkGlBHwVlQ4osdkImxAT+JZex5x7BnbjDxBjBt0+em98O677+Lqq69W1TNnotifwj1HcXRDFkLIaI9e0di5bCsKNh1FKIV0DJkxFCGnx3qCDV3ugzGDevYchA2/bMD8+fO7fD6f4LQA4sRUjhzlihhshGaNhmuYszBhcHq2O9gjNp6xRvPYY48JzYltSSxY2gog7nf9+vUipkhL3iGuVc3Zvffff7+9bn1inwU1JHz2wbJxE1BcBDN5drSU9S1c8DQDS/bP0E7/q8fmkvfrHhEmHx9PNiiVk9lowpZ730Dlr7vRUN0ggjPjIg2ICjQIIUqZTCj/ZAm0/Ydj8N9uVXw2V43KwLJ9BQI3SC3YQU1UF+27//sYxrUbBGhdnamO+GTE7soY8o5RsikFuR7beJwKOhKim9NrGc+yMiW5HyEnrnW5U6eHzZVQuVJqXl6eqDrJCHObNm0CxwM5qifN3h6OF8qgZRsbrdl7xtttKTs7WxhOWfgwjRo1Cnv37m3bzIe+s+ZDsKy791EQYhE0sdHQUh0wQSSUNSJbmaAVfn3NI3OqpNif8qP5IlbLIx0q3MmOv32I8o27YdLrCeuGwqYCzIgi/hBnoKcdBg29YFXVMBzJwfH//aDwaChThhJjrx7VWzhVuNx4dxP/cH9OUdCWn36lzAMDqrVGVFA13SiEYnAYc4y8YoSexABlhkodRtf1w/KV7+DzL1/E0WNZFDdkEp5WpeeRQNHR4eERqKtzLZ7NKQ2IO9+2bZsoycwxQEwsKNguxJCtXLqZ/zqi6upqXHPNNeB0jtdff71d04KCAkRHn0wb5yheTvuwJQaU4j6YOEnWtr1tOzVs87KLf5Y0pClaQskTpqNHheQPCx4QZouI0SDvImpLYJst7+rYs3/cjFgqHOAry6/q/cdIa9agpp6fJQ3CAwiMjPJVSA6JmBf+YyIMJVCg5pfP/hevWQ5TILkGkyh9Ijk5Gb1cNHo64u/sYWn439YjePPNNwUWsqO2Sh8zUcRzU1klAsjJY6BYsQYSPuHaENSaNIgJIniyuuZXl0M7jISj1MMYh625m1uGZTanuB2j09KZg43AwBAUFBynKho0PheA/53SgLhjftm3bt3abigHDhxwKp+GBQp7yx566CHceuutQhDZdsbBVexRsxLnm4WGtnYx8oPHhRH5w0s4Pf16qpeag8UINYpsP/zLTu8V/apZSUO/9M3w9E7dAutpdv/qq2uRt/k3XEPLYV/xfgVFhgkBQzKFXhQhk2lu9OUECf7QftaI+Mdm1uBk3DSxPwYnRaCpUZn7HkQRx3OGp+LbJUtQWUmwut1IbPfShYYQfh1H0FsIjpWioek/nWCYzcBISPOuRs0J7drmEBvqgwhrW0niwEgmV9M+nH76H3jgAdx8880C//nHH3/E0qVL8ac//QmvvvqqKNezZs0a8IcFki01NTWJZZp1kLyM4yjqtjhDrFmxTclKvN0WsyUpKQk33XST+HBEdmMjBfmplDSkLLNqoxk+kAIS9bScoLFSLAfDsDa/aPR2kZDVnuZ+QcfDazZRdKy2RTtUKUtaDWvQwgth0gSKPCfOh6vSB1IaBvFESy8btdQRjjNBIKMxNB7LTPmYRrlPV5CdZnAS81U5Om9oGgz0g8Hxbd1J7H4ff/M01EbGIYyWppGEsNlkoR9lnQGH6smZwdo1M4i2grQmbIzMwpWX34NbbvwHJYmOENHSwlBPRn0lqb6+WnTP77Qr5LQAevjhh3H8+HGqG/0Upk2bhgsuuEAYk1n1Yo1m+vTp4sP2HlviIMb//ve/wl7E+9nNzksra9wAG59Zk+HlHKO6cfln1n6W0K/QuHHjbLvyuW0tCJAsZggw4zyYw0gYNcTDHE7LTAIYp9BoSlcnT2CqexG/TfUNyF23FVdcfoWo3eYrTIrP7IOJr92FqMEZiEmMRHB8MHZGZKA+NAo6ChA0R0YgeOoUhM+bgVy4Zl9whReJESEYnhpHruXlrpzu0XMGTBmIac/PR+CY4RQwH4ZYgkf9OS0E+bS8Z22I9cXQaAuG3zMOdZoGxMUmIzEhDSHBYS5rJF2dQEVlMaVmJbmseTtlA+JBFZEhVdgtOhlhAL9cNsSqGS+ZWAi99tprwlvGHjGrLWnBggUCiJ29Y+zKYy2LiyCygGIPm28TLyR6QRfRC5gySUzl5CLDMzM79MNGmI1ml92gnhmFa71EDUjDxHcdezn379/vWudunDWhdzze2rRV/DBa04/c6M6tU3uO6oWe793Z0sd1LVsnN9auXQu8efK7N7cKi3KpWvJgly/ZWlo46Ibd7GxA/vrrr8UyiwUFg1Szt8rquerodE7dYAHE2lLbWtPLli1rOY21qnPPPVcsrdq2a2kkN1o40FhTh+w1m3E1Va+UlUla2OL2RmZaLGnhB4VGzrFukuxzgL1z+QWHcells+w3cGKv0wJo3759Igqas+LZKMhpGWxQ5kz5L774QngmOrueM0KFl2z88Usy03qZLa5aguogo6K7lEXIflqyA9x2223udtWt5+dty0X5lv0wFpQgtEcckk6jevZpcQhMS+6WcfWJJ68lqapsLlCTAKqgyqgGSkytNDTBRMbptF5JiIq1gX3xMrcY/N5AY2FgN1fJaQHExt+JEycKozOXaWZ6++23RTkQdsPL0jwObgEZVM0NOyl2oIYaMa4LPd2hE8jIGuzgJMeH6korkLN+G269Zb6oSuK4tXqPLn/4czQtXUHedio5Qy5mZo3BosXpExMQ1zcBmgumeX3wweQNi48IU6QMjauT2fr6auQReNvPWdk4QCW3EwelgazPuOvJ613t0u3zDh7aLswlw4cPd7kvp4zQnILBQYcMSG2Lssdq/x133NHtHgOXZ++lEy0NW6lEcxUJHHLJc70wMiBCv4v+kjbkIu39Zi0iIyKFzczFLrr9tM3v/wzTkmUw15uoPLOWtDl2N1sQoDFj16Yy6CtqoF26mrxiJJW8TNGEH93drnjrlA8t34nsVXtwqLoKWVRuKSY6AvojpYikenPPPvQuAZRRMJUdctU1bqerdrvYHsyletgb3ZkJpt3JNjucEkBsWOaL2It2ZHe6OwOwGYv/bprJi6MNOzk/TRjFdlCygblB7GPw/8zMzBa8pZMN7W9VEuBY3pY9+OPChe1savbPUOfeQ6v3I4wiDxuMFICoJaFMcoYxbwLJFc/gkZXl5IqnGKc4BnTzMgXqNOAQEjVQ3qbDCIuPRDZpPuFhjC3FQHb0oXSWgEAtCo6V2x2mM04juyc6sfN4/iFUV5dj1izX7T98GacEEAe3zZw5UyyzNm9ujrZkreh///sfuFCZu4NwYr6+3UTDLxC9US3E4XVGWm4024GGDRsmknUZb9sZ4hryaVQS+yoyPvsyBUeGNEc/k+ChKuctU2F9x8TBd5QeQR4J4pT3yUDXV4stMohCA0yNFAMUFChCVJgbnEvHQqixrkkIIXscUlID2rd/E62GojGBoF/coZN3vZNe2IXOQodjcxhSg2OBOC1iOsX/cECiJAccCBpATwzHsvCrRNHepgqKBUqlX/yu24CK92ejeH8O7iYoXLW8IA5m7vDQWXfMRB5iCFaDbGQkn80U1Uu2VdQadQgL1SImhCrJDuqHCkKQ9DZVU316taT6DPvdeBgoMXVEz2TSygyoKidbIgUqlpJ2GENVRPoQsJs9UkoD4n6zDm4mj/VMCmlzTzt1+uzU1FQR0cwZ6xybwVoRu9f5I8kxBzSB5M0hbcdiyBZmH03IafQAkRHRBdr3zY8YRGgEzmAwudC9V09JIIS/i7/4K5bd+BKitATJUU95TYQYmZISjGGzBiHyzDGoo5rueOlfXh2XiaRheW2DU55dbwwsulc8Zj49FxtfXI6rpo3Dz0fzEE6hApnjB+N318/Aho2/eGMYLdewLr8YG8xdcloA8YVYpTvrrLPEx90Ln3LnByRSOZ7mRF5X556/6wDKCfN50WuPNnvSXO1IRefFUtDf3FWPdDyibghEzKusF0vAPn36dDwuLx+JTI3FjEVXi6s6u/BWagm2P6t5+cV48O5Sp0swjoVgLGgOOmTiZRjXjOdoZfb/M8qhJO9w4PDKXzDnwjkCFsU7Vzw1r3KguDm/aejQoacmAzqZ9YGDWzFjxjluL7/4Mg41oIMHDwojE0vSefPmiWFx0Bsn6nFuGAsnrhXGGD+cSiFJOQ4U/nYIpdl5mPN/Dyt3kW7oOevng6imALv0IckIoxwwQ14BwmJCETwgA7oYWn51A+0pqER6Wqqq4qtqCqtQn1eCIkr2rqmhSruEOa6lfMK+Y/p3yCElbEAFhTmorPJcJWSHAogxfjjokNMv2FXMiaJcIZU9X5yAysTJpIyI+MILL3TICHmgaxxg+JOQqNYRroe+34iBgwb6jfbDEBP/ue517F+1m6zPZkTCgPPT9aDwGxELFNEjGsl30o8elaXxNm3Lq8SZMzvHOffWuPZ8vQ073liFo/sOoq5GS2W+DQgjJAEzxUwZKHyh93mDvDUU7M/aTD8U4W5FP9sO1uESbPv27bjyyiuF8OGTuCoqa0NXXHFFSx9sE7KHE9TSQG50mQMcb8UYP1ZitMOSA7m46cabrLt8/u97f/kEe1bsQAhBcETqTDgrsR7VBIXI0dBNlgDoydNT/J8PgePFYq6fbj+C59fsxZajZa1wozzNiCPltSisqlONnfPYlhz8/NwylB8gTZGcX5wFT1X6CEvJRAib5DIkV/zRpfuRbkjwNCvs9nfg4BbyfE9zOfu9bacONSDGE2Hvl5VWrVolNKLY2FjrLpGg2t0Zwy2D8dONHILbYLRDf/B8WW/R3vX7EE6pBBoKMozSUMAf/Zo3kPAJNRA0K1W7aKRohRAOBDycJ07ZkFNiPRXxcSefv5adHtr46TAB4pOHd/LkyR7q0b1ujm48jIgQDfIpLECnCRKCh6PImiPJzIQgSbFAFLiZaojDe/+ip2PpAAAo4ElEQVR7ghQELWXx11GG+hD3Lmzn7KKiIygrL/Ro3J9DDYhzPNZR/Wwmxuzh8httgw4ZhOy008itLEkRDhgbm3B8y2+4nGxtvoJ26AwjQgiczUgVUZnM9OHgQ1qVib+8j79bODgo2LuJyT8eKsFZBJrH1YDVQEFhwQIzm+Ojmrl1clTMI/7QWgx9B/QjoTOQnETVuO66ebjoogtPNvTQ1p59GwT+M4MKeoocCiDG5+HyOJzvxVAZHJrOSalMXBXjL3/5iyjLfPnll3tqPLKfNhzI37EfBhJCl156aZsjvv31onvPRyP5QIwU4VthCkSRXoeYQFpeBNGvOxUvCA6yIDitBzCyGWvm9jMH4elLRmNq/x5Ui8p9JAF73DtUUo3csmpceKHnX15713Nm35DZI6CNjkJqbAwJIkLQpKh6BqKnzDn6j5artDeAUjP+74u/CfsgB6fye8meak8SI2DsJQF03nmzPPpD6FAA3XDDDXjyySfxI0Gwsgb01VdfoU+fPmJeF110kciMZ5wfd9LxPckkf+zr+Na9GDZ8WAvf/WWOp5+XiVvfoh8zSjOgQjwoCkpAZI8EBJIVOiQ2DHHnjEPak39u0YD6E2riCILoSKL0DaXiW1bsy0cUOVumTp2qGjZHkBH+4hfnIfGMERjQKxYmXSNqtY0EZ2tGUzAQmR6Dhd8/gtCYcEXHnJ2zi7xvFaI0lycv5NAGxBe6i0L++dOW3njjDVFA0J+WBW3n2N3fDfpGFO/Lwe//TC+iH9LIWZkYefBpxzMrLnB83ENHm6hSyaqDRbjosis8+gvvieEJIfTy9V3uypOCevvONfQj2Nfj+EgONSBHM+YESil8HHHI/WMllPNlpkohnG8nSVkO/HSoCDUNTZDmhPZ8ZtznQ4d3UO7n3PYH3dzTqQbkZv/ydDc4wEmnSYS51K9fPzd68Y1TDcXlMBLuuJEELhWBQBB5woJ6u5Yv58qMl+7NRyY5U7jqrxrJUFoJE4VmNFIhtSYDmZ4ZtD8qFFEpHVej8FQg4uYtK0TsD1dG9jRJAeRpjnqwv4rDxzBlwkQP9qjOrko+/QFlXy5DSS6BtpGjIzLcBB0ZU0Ojyd5zhXt4M87M+GhFHXYdL8ff/3CPM8293qZsyVqUL/8FVfuOorZCD67XWGEKQWVaXyQQMuIF/7wSWsqOV4LqG2qwa886yoS4VhHsKZeXYEpMVvZ5kgPsgq4kACor/O3JI/61VfbdTyj75FsU5lTB2GBEbISB0CMJlpUqgzZSyoHms2XoTdU3laS1BwsxfvTpqoyzqvplJ0q/XovarKOEfNgIQuVAnR5I0DUgND8PRXuOYdPb6xVjD2s/XHzwuuuuU+QaUgApwlb3OzVyAUPCXXEHb9f9USjfQy15+TQaWnbRz3pYMDuYm+vFsqedYhJhIUE0IkS5nDA2Pn+1+zj6Dx7arhKv8rPv/Ao1v+4hYDYKzKTITJOWIF0oE4FqUEJP0dDRWj3Co0OR+/MhshVyNJVniQMat27/QdjFuCioEiQFkBJc9UCfJoqFYS/GwIEDPdCbervQUvlhfnVEQB2H2jVvCOErRk02oUYOSGxDXFculuxE7tLPFPlc3dDYKr3I3T49eT6XZ+YYnGaP1slQRGaThYQ2L8cYHVEJ2kTaj9HYpGjNOSmAlLhzHujTbDAhhdJguB6bP1Pc+ZOhDY5AeIQF9QYKsiPFT8OY0PRmBVOqhjYmAj83VLVjQUlJCSoa3EdKXE6xP8PJo6tW43PszAli7qGk6VAGGKVjkDAizTiAyjSXUHknVpQzLx9LZa09+yqz9rNl20qBdtG2RHq7m+HGDs+O2o2ByFNbc8BkMraUr259xL++hQ/ti/T7bkJM33SERAag0kj2Hm0gQXKEIXLkIJhuvwa1LJUUoOIaPbbnleEySnNRK4X0TUP63dcifGAvRPeIpFSIIAREhCI/NBnhI4dg0u1nY/hFo+wO3504oM1bVwrtR+mac9ILZvfWdf9OC63p09O854buzhmHD++Pga89ancISpZmXn2gADpKhp09e7bda6tlZ9iAXuj3TPtg4M7G56obvrGxAZu3rlBc++HxSw2os7vYTcfZqKiU4a+bpqS6y64+WIyplFipFvB5tTCIDc8GQ6Oith/rXKUGZOWEiv7yLxe74ePj41U0KmWGYqwg93t5NbThYQiIJfCxRvIx0/w5AVNJ4tifnNJq/FHl2k9bHjRSek5ZWTkCDRYqixOJYAbt74BcWYJxqWXWfjghN80LGrgUQB3cvO7cbS2IFxPTcZRrd47PI9cmIVP55fcopSA7fV4pwSBqoYsMRcygBOhCA6ALC0Xcwts8cil7nayn1IsgCnZUU+KpvXHa7jt8MBvP/eN5JB6sR3iNCRlURy5tUG+M+/t1zTXUbBvTtitLsN17f6YCpNW45ZZb2vSmzFe5BFOGr271aiAXPFNERGtYVrc6VdnJ5Z+tQOm3a1F/tIQETxhFQNfDXFKK8p150IRFwFRajuovv1Fs1BuPlOGMSZPIqKtsFrmnJsBaz313PYg++/VIrQ9AAHnF9hw5jKK9udj/5kq7l+mqBsQCawtpP1deeZXX0n+kALJ767p3p9HY7PVRCyiWEtxo2LkflkZC9CNgMo79oZAnoQVxKJChrAYB6akwZOdC00BLMg9TJSWd7i+sFMU1Pdy1Yt3t2r6bylgHIdSsQ32kTsQFhdGytVxnQNnOHBjrG92+9uFsirouzReYP2535mQHcgnmJKO82YwDz5j8OQZIExwEC8H8MTi9hv7jCF+GROQYF8Y5ZrIwJCtDAXqYthGuNNOZZ57p4Z6V607HoeHMCxt2MO84/sdEgZTNErz19aOioqh5UOudDr6x8ZkTnydO9F7+odSAHNyQ7jpkFUD+DHcSPXMSAoK5WqwJHHJA0ggWIwXZBegQTOWGmw5lI2hgf1gUCMTclleOXunpXjGyeuoZGjNuFIIjwpAXTmiRDWZwqo6RBHQcIUkmTxqKgND2gqaqigz8ZFR2hhhy43D2Lo8jKXZ2bSmAOuNQNxy3Gg+1JzSBbhiC4pcMHz8CifMuQljfHjDX66GNjUPE6KGIG9WTNJ8GRM4+F9FXKhMguLugCuO9+CvvCWbycutfL/wdVb1JCIU0IYQA/EdlnobMBbMx5JZz3b4EA46FhoZ6HY5WLsHcvnWe78AqgLpqRPT8SJTtMfKsMeCPN6mCbCX5lXUeR/bzxhxiYqLx8psvevxSHHW/e896zJkzx+uOD6kBefx2ut+hVfBYBZH7PcoerBzYRxVGmUaOHGnddcr/PXBwm3C9cw1Ab5PXNKCKigpRwJChXDtKbjt69GhLDXpmBAfiDRgwwNs8Uc31rLYg1QxIoYE0VdZSLFAhghNjEBwfLZZgmqBQKhx+MtvdRAZXExnnT+aDuzaYLKr7HkXhDRkZGa510E1nNVZTmALZy0w1daIwY1RyBDShFKZBEB3uEi+/hg4d2i3QL14RQFza+bPPPhPVJvkvZx7feeed7fjGQPdFBMtpDcDLzMw8JQWQ1fZjdce3Y5Qf7cj9fD3y3/iASg03IjTcjNQR0QgZ3A+gZUHAtJM2oL98tbVl1sk9XMemOVhSg6FUZcRXiKE2tr/5I479tA9Vu7Nh0TegT1w9isOiMOfuoQg56yogPNbl6ZSXFyL3yG944oknXO7DnRMVF0AmwnN577338K9//UuUlrnmmmsE9gojrNlWWOVJHDx4EE899RR69erlzpx8/lyrALIGJPr8hDqYQOmObJT8903EhBD8BrnlEzP0aCophyac8I4z0mFc+QFSp16Nxx57DDt37sQXX3yB+++/H3FUJZZ/1Fyhw2V1uPhs3xFAPz21BMW7j8F48DChkDVCTyFiBXWh6GWpxLI3sjFH8z4Cpt/MINrt2GFdyrc7YLNj245Votgg1/3rDlJcAHH8wjvvvNMSccr1xWpra9vV966vr0d5eTkY54WrsU6dOhXp5Cq1pUOHDuHhhx8Wu3hJ56+RwlYBZE3JsOWBP23nfLKaMH8o/UsTguhIA8UEadFkpFigwmKEDOxHS7FgRFQX46qrrhIeGhZAXKCR41tcEUAVhGdaXtugSNliJe4Laz+lWfkIi9ChjEozExgQQrVm1DVSQcK4EARRwGZ5uQVJ5XlA8gBwUULb4NXObIhNTY2E97yeFILftTpPibl01KdXjNDWcHe2abzwwguivHNCQkKrMR0+fJhgJxuxefNmIZx4ibZ06dJWbQICAkSGOGeJcwazv9pIRNAZzZz54c/EUBhmKivcTBSMSAae1jYe+iZCpD3DhRx6YZl8B2VSg4CgABGoacsHgmimgE1apdJfLeNJnuDR9ddfjw0bNrQwqzMNaPdvP1HB0Xoqt3NNyzne3lBcA7JOiF+mxx9/XCTIPfDAA9bdLX+HDBmCL7/8smVZ1r9/fyxevLgVVgsbDp9//nlxDtep//jjj1vO96cNqwBibdGfKePKadjzywbEBTShrjoQUbEGBOm4JHMK0FBHb5gJ2oyhHmNBTlkt5bxq0bdvX4/1qWRHWiq53HfGadj/xa+iBE9Dea0ApY8OJ+lD5brLoxIQl0QqZEJvu8NwpAHxsa2EeHjWWVPA71V3kVc0IF5e3XPPPYiksrds7LIX4VtZWQleVlmJ7UBskPZXLcc6T3t/rQKooaHB3mG/2Rc3vDcGPPpH1DYFwEL5WaXHAxDaOxlBKQRDEh6FgPNvBNjT4yHKJQGU0bu33efPQ5fweDfDLp+APtOHI7BPb2hDQhBPKCXJkY1oGtADcx+ZAO2Z82hpdtJb6OwAuNBgaVkBbrjhemdPUaSdVzSgRx55BIMGDcLChQvbTSI3NxfJycngsHEuAf3RRx8hhBj97bffYgqBRVntIe1O9OMdvNRk8ncBxHNMOXM4enzzH5hIQ9aSDUMXTHPntZiGlmYecDHzNayUW1GPgaePsH71ib8ayv8afes5GHXzdIERZW4ycuYcdCHEJy19mE8u0KYty+mdHIwzzjjDhbM9d0rzk+65/tr1tG/fPmzcuFF8Pvnkk5bjL730EtjNvmDBAixatAgjRowQBsb58+cTFq1RGBq7yzXYMshu2rAKXdYcTwXSBgcSMH3Xf8W7whtechyhJcxMH40r01DSKX+0ge6/sgWFOThydB/++c9/doWFirR1fzadDIttO+vXr++w1bJly1qOsWv+2muvFV4y9nScysS/fKeCBsT32FxXQ0ZVSkSl5ZaZNCENaUL88SQVVjeggbQH3zFAe3L2rfv6dfMy4cw5//zzWx/ohm+KC6Cuzol//U914cM8Yw+G32tA5BWt/fBNNGzfCTO5mU1UZidwABmdSVuJvupyBPXJYFZ4hLLJ/sOk1vI7HpmkE51U15Rjf9YmYe5gt313k1eM0N09SV+8vkaj9XsNqPqtV1C3cSsZV0NhrG6EheJ0zMdyoKWs7MrF78FECImeosOlNQgPC2sXW+ap/tXYjz03/NZtPwgjfHfkfdnjkRRA9riihn20BPNrDYi0nMa9+xFIoOomguPgl0VL6IjGWnK/Ux0wDWFC63/b67E7cYhSMFj7sfdSeuwiKuuorRveaDRg5+61uOiii1SzypACSGUPjXU47NvwexsQxbm0fUmEB4y9YBySyH88RAdLazH8tNM81JtvdNNW2GYd3Eo/ajWYO3euaiYgBZBqbkWbgfi7EZo0nrCxo2HIL6UKGMFCEBkpTYK9PBaKkLYQFnTIyMw2THHta2mtHqU1DTjtFBNAbYX77j3rMGyouspQSwHk2jOt+FmMk+zvkdDhl/4eoWNHwlRdi8DYUKr0EAldf1om0X+xN86DLtYzZYkO0PKLI6A51ONUJS61k5O7FxdfcrGqWKA6L5iquNOdgyENQe/nuWAMPh99650EMVFPeNCGZnwbBqJnN/yJYExP3ILdxyuQmJhwyqEs2C7BDhzaSlqmGeee6z58qyfuibUPKYCsnFDZX354OFv5VCBNCNUFs06UPGDOEEfP15XnONMUjAGdOWKcU239qZHtEuzw4Z0YNoyiznv0UNUU5RLMW7fDQkAunMbsLNEb2dREEAx+TlxaxkB5YCaq8iCIDNAWKs/MWhHMpg5nX1hYiLK6zgV0HQUfHiyuwrhxp54AsjKPNZ+jefupDNFk6y7V/JUakNK3ggVP5XaSJlSLir07EYPp06fTq3JAZu8+GZ228+UGeqrPvumlFSjPLhYer9E3nononE0IKNlN7vJGBBDyYeC5NwCJvVye5i5afpmJ7xMmTHC5D18/sbgkT8BujB07VnVTkRqQoreEBE7Jj4RkV0gZy2GEcUyf2t+A+uOdXpU1gwNZWZ2289UGpkYDVtz9PsqpRnt4YhRCY8Kw8f7F0OT/SnXOiW+BoWg6Xgzj94thqSIB5SJtpSKECfFxpyS0r5VlhUW5YlONXkApgKx3SYm/hmr6ZadlRGD0id5pXcWCqD6306tx0TnbNXynJ/hYg+I9eaIgYXiPE7xpbECPFCP0TRqYNZQiQJHgmqBgmAiw3nJkt8uz23ysHGcS5s2pTCWkAVlB/NTGB7kEU/KOiIA6Ejq2RMZl4IS9w3a/zfajjz6KisoK9OtL4Ox+SixcObu7hUjpIZkjlkst+2iDLELN5Zptdzq5fYyWeFwDbOrUqU6e4Z/NyisKoVYQNimAlHzmgiijXxdC8oY0oYAT2f0mSjWIcAyKzkmC/3n5P0qOrNv7ThicKurC15VWIzyBeEMYUCXFARg5ig3LRhI7OoDKCuviqL55b4pgzt3Y5TFvyCkBYytNnqw+42uXJ+PCCVY3fE1NGUaePt6FHpQ/xeYnSPmLnXpXIPbGTSTgKBJCJvLqmAjhMHwQffqceqxoM+OgiBDMeOpqMPpjPWWq62v0yLz7ShgDiDckeDSGBgSkJCJgxnVAjGuu459zSjFh/Hi/LV7QhqXtvlqX8DW1Fapzv1sHKzUgKyeU+qsle0bS2bS24F92EkhawvCVJDjA9p/Zr9wEPS2TAikdIzAsCJbzR8NSXUVxQWQ7iyDtJzDYJW5x+sXeggo8vkBdgXcuTcbFk1gDYiFUX18rShm52I2ip0kBpCh7rZ2T3Ye1IEntOMDA62EJkS37NaQRaWLjWr67uvHT4WIB53vOOee42oVfnMd135msxT7VNikpgNR2R07x8TDmMdmjyUBN8BwkjFyltdklGDt2jCjv7Wofaj7PwjV5iFoZ8tsMmLUfqwDighBqJCmA1HhXTtExZS/ZjJ3Pf4MmsgcFhgZgxpsLEdk/rcvc4OXXnuPleGz+7C6fq/YTLFSsMOfD1SjduE+EMaTPmYi02R0bmE2ErcRkrc2ntvlJI7Ta7sgpOp5ja3Zj4yMfUnWMJgRHh8KgN2HVLf9GXV5JlzmyloIbOft95syZXT5X7SfsfOxdHF9KdcLiIxGcEI2jn65F0Y87Oxw2l7WKiopRrSFeCqAOb5084E0O/PbWKgQG6xAQ2mx0Do4KQVO9EUe+2tDlYfx4qBgTJ05UreG1yxM6cYK+uJKC6isQNTCd9hBoCWFGhaTG4/i39kMUTFTYkaOgq6srRWlrV6+r5HlSACnJXdm38xwgm4Y1bqXlJDIGtSSptux0vMHVL/YXVuL82X64/CIeabkemC2Rp8vUQdLyK6+8gp49k6n21yTVuuGlALK9mXK72ziQccEYNJDtx0I14ZgayY5jpu1eF3Qti52XXxx8OGPGjG6bi1IXDu0Ri/C0RNQdPZkb11hUgdgRfe1esk+fDHz11Vd4663Fotin3UbdvFMKoG6+AfLyzRwYdNWZGHTlmdBX69FI8KlBZISe8vT1iB7Ayw3nad3hEkyadIZqQNedH7kTLWnJNeiOSxFEQP76kko0llYhaeoI9LvhPCdOVmeTNvqcOgcpR+X/HODl17gHL8ewm85GU0Ut/dLHIyg6vEsTL6Ll14GiStxwp+++kJ1NmG1kY565DY1l1cIFHxSrTvd6Z/OwHpcCyMoJ+VcVHAhPiQN/XKGfCVeIvV/Tp0935XTfOYeENXvA/IHkEswf7qKcg+DAL7mlGDNmjGqjfuVtas8BKYDa80Tu8UEO1BHA2Z78Ckzzd+3HB++NoyFLAeSIO/KYz3BgW145TIQiOWXKFJ8ZsxyoSM+WbJAc8H0OMPRqSnIP1QJv+T6HlZmB1ICU4avs1csc2JFfhTMmTfbyVeXl3OWAFEDuclCe3+0cKKfyPMfJdX8ql97p9pvg4gCkAHKRcfI09XDgt4JKMZjRo0erZ1ByJE5xQAogp9gkG6mZA/uKqhAfG0t5Tz3VPEw5NjsckALIDlPkLt/iwIHiGpw2YoRvDVqOVnDAawKooqICP/zwAwoKChyyPouK8a1cuRKlpaUO28mDkgNWDhwqraG658OsX+VfH+KAV1Ixvv76a3z22Wc466yzxN/BgwfjzjvvbMem5557Dr/99puoYvnyyy/j3//+N3r1cr0sb7sLyB3q5sCx32DJ+kVUxUDaIGgyCcyfcG8cEed/cRAiP1OSfI8DimtADIr03nvv4fHHH8ctt9yCZ599VmhCrBHZUm5uLtavX4/XXnsN9913H66++mp88MEHtk3kth9zwJK9DabN34haYZaAIJjpu2XX6k5nfIwqaowaMgADBw7stK1soD4OKK4Bcd2nd955pwWTVq/Xo7a2lsCyqeyKDWVnZyMzM1NUMuDdo0aNwtKlS21aAPn5+Xj33XfFPhZYIVTMTpJ/cMCy50doIhMoNLYZiF5sH9kFDCA8oFD7Gd9Hy+vwybYj2F1YLQ3QPvoYKC6AmC9WQGzGp33hhRcwa9YsJCTQw2ZDbBuKjj6Z4RsVFYWysjKbFkBVVZWwD/HOhgbCjAmSNbZaMciHv2goi91CH1viytaaE2Vlzj77bHz33Xct2MZPPPEErrryChQZdZh9/vmiwKHtuXLbNzjgFQHErGhsbBTLMC4V8sADD7TjDmtKtlqRkdDwQkNDW7UbMmQIVq9uVstXrFghBFmrBvKLz3LAQjYfHNpClWRPVMGoJjD6YMIDCm/+UYqIiGgRPjzJ1NRUrFv/k8/OVw68mQOtf3IU4kp9fT3uuececG0i/uWyp7kkJiaivLy8ZQS8nZKS0vJdbvg3B7SZ5wBRiQDVMbfU1wCxKdCecxOpQF55RP2buSqenVc0oEceeQSDBg3CwoUL27GCbTnJyclURG6sWJ4dO3ZMCJ4lS5bI0Pp23PLjHbpAaM+9Daim8AsLFd0T9iApfPz4joupKX6H9+3bh40bN+Ljjz8Wbnh2xfNn1y4yMBItWLAAHPvDNp/58+fj5ptvxrXXXouamhrMnTtXtJH/nEIciCLbYHQSGaMVfzRPIaaqd6oasslwJVzVkMFgEPYiXvM7IqsN6ODBg+jfv7+jpvKY5IDkgEo54JUlWFfmHhgYCP5IkhyQHPB/Dkg91//vsZyh5IBqOSAFkGpvjRyY5ID/c0AKIP+/x3KGkgOq5YDqbEBd5dStt97aEmnd1XNle8kByQFlOTB+/Hi7gcfWq/qsADr33HPx0ksv4ZtvvhFeM+uE1PqXAys5IDM9vWulhtU6HyXGVVJSAo6AlwGoHXO3sLBQ5EsmJVGogg8Qe7Udkerc8I4G68vHnnrqKSxfvhxr1qzx5WkoOva77roLx48fFzFjil7Ihzu/5pprEB8fjxdffNGHZ3Fy6NIGdJIXcktyQHLAyxzw2SWYl/nk9uUYMIuhSCR1zIGRI0dKWI2O2SOOTJgwwa9snnIJ1skNl4clByQHlOOAXIIpx1vZs+SA5EAnHJACqBMGuXOYMZAkdc4Bhuddu3Zt5w3ttODiBQzl60vk6ny///571NXVOZyqM20cduDlg1IAKcRwdifPmzdPod79q1t+IdetW+fSpBi+5f3333fp3O46ydX5clWZzgSQM226a972risFkD2udLCPIUIOHTok4nlsmzCgALuPi4qKWnZXVlaKEkT8sNkSvzBtHyIWVocPH25XiogRIvPy8nD06FERH2Pbj7e3eSwMiWtLPA+rlmePB9yWz+H5MZ43k725cuWTtlVSmJeMHd6W7PGvbRvmue294GvyWHksfF+8Rex04NgvW+Kx2c6Xjzc1NQn+8DitxPPkYww9bOXxX//6V+GCt57Df3Nyclo9G9Y21n64DccO2ZKanivpBbO9Mw62WbV9/fXX0a9fP+zfvx+33347ZsyYIXCL7r77bvEQ8AvDx//+978L8Hx+Kf/2t79h0aJFAhPp1VdfRUxMDA4cOIDbbrsNl1xyCYqLi8XLxxCjvN2nTx889thj4sF66KGHwAFnjI3NDyFXDGHcpO4gfmgZn2nx4sXo0aMHeG7XX389OL6J0Szt8UCj0Qgt0MozrnbCPGg7V8aDevrpp/HWW28JQcHxQDxfLWECjaCCg3fccQd++ukncW5b/tnygpdjzHuroOnbt6/g/d69ewXYHQufgIAAfPTRR+CxKU3btm0TBRl4zkyMjcXPw/33398yX76nR44cEc/EzJkzBRYWA/cxeigHZnLMz+zZs3HxxRfjhhtuEPE/X3zxhfhxY+HDsDUspLgfxl63tuGAV97HwH7Mf342n3/+edGnmp4rqQE5+RRyhQ4GT/vHP/4hHmrWhpgYo3rAgAHixfzwww+FINqzZw/+8Ic/iBeIXyyOBn3yySfBLxbXOuPKHvwi8y8eg7UxnhG3e/PNN8XLzL9a27dvx1VXXSXKGHFVEX7Qtm7d6uRoPd+MYXQZGJ4FMRMDynERAX7JO+KBdRSTJ08WFU5YMNibq7Ud/2Uhn5GRgbffflu8QKz9sRbYEf9sz+VacvziMR8ZAI9fTCvPuOrK/7d37yxSLUEcwCcTzDQ10MhANBBFUBFRTLyIgs9AwQuCmYKBIhgohoKBiRgYG2jgA8FIMFHwESiGJn4Gv0Df/hXbw9lxxp2VncfurYKZM3O6T58+/9NdXVXdVf3o0aOedzQN5qNe3BBIYuqPLEQ9evRo/O5+Ye6vX7/uXblyJdqHgH2Ylu2sPP8wUqZnefz4cW/9+vW9T58+Lcrm/WA+z549C8Zz4MCB3ocPH+auXSUDWvTaRv/RcIyumIjNE0k/yMpm6leTdIjY7969i7T2ZYTTga1zQSQI+5h/+fIlQtEq7+LFiyEBGO00KCPexo0bo0OSHDS4Joq3cqd9VDeB4JDjP3U3CrQUBp5bpxd2d9izRiELX6QEDAuRVu7fvx+j9yj8Fi6Lg7IPHToUv1178ODB2IPOCVIXSY1UNS2y0YIdYOz0a7DRLrgQDRIpDz7q5hkwIESi2bOnbks0hPbu3dtnpJs2bfpN1SP1wbttXaV9kbDmrV2lCjbk5Q47peF46e/fv4/O9+LFi/4eZRqJRtSI+NwlWxDZkshHo0SYiZGP35PR+uvXrzETxLn24cOHMXoZtXV6Hd2usbMmcb11Eo2bSkQibPQnDNruJqOetZXhSKrq2kLYL3TEUfh1r4Vz1/eIbQXGqNWhm38av727mzdvRkx0+Klj1z41WDcq169fv/pVG2YHk9hVxYdJdIM4ktjZpBjs56ldTW846EO6On8w7hmdSEIkEvuY6SiHDx+ODqlx2Z/8yZMnoesbgZEOodExPGJeSAPwcc2bN29Czdq9e3fYUTZv3hxlE6GpYEZQESLZnVpnikJm9IUh2t2WVNMY7SgMBqs46lm7+UgtZsQ8KwZCLcG0R+HXvVY9mrRBjSVxzHrPePXGLNi3msTYrfPgb9KP/c/Un63w27dvg1nG+k+K1IaovYhK9/bt2zg3T+0qJaCxXmcvmAEpRENiHNQxMBmN3hqW06dPh4GZEfnIkSPRaez0euLEiRh1bEvNuExnNxrduXMnGJPrTZ3+Ww26OhwbCWnCaMWmQYc3wtkpttkSxqzyRLJRPUloNg9oNAqDlt6Oo57VzGIjDIidSSchtZw6dSrUp1H4mS1qpG6Y17lz54KBsXtQOdjkZkmYNvvT/v37l6zG8ePHYwCzMYN2wIWnDWZLXtzJYHA4efJk4EjytPOMNkvCmqd2la4YnZc2zk/iMYPwoC3BNK+Gsm7dukXFYCRND5fARrRhw4ZFefyRz8xSV1WgdhDBu+L2bxfO0YlRGAxWcdizDubBpNnCmsra0kfh19IdXQvz1RhbnDGZ1IRhICq5mS0+YH9DJHAfWDaap3aVDKi9lTwmAnOAgFXdZvEYjEmGbGAk78GBbQ6quiJVSAa0IjBmIYnAyiFArbQMwxqwnTt3rlnmA7FkQCvXbrKkRCARWCYCOQu2TMAyeyKQCKwcAsmAVg7LLCkRSASWiUBOwy8TsP97dksOuF78/Pmzt3Xr1liGYIHmtIgfl1nIY8eOTeuWeZ8JIpAS0ATBXWtFW7tkjZOFcpYc8EWy4I1D6rTo6dOncf9p3S/vM1kE0gg9WXzXTOm2FTIrY0XtpUuX+s/FB+727dsxXWzFd1IisBwEUgVbDlr/47wcbrlHcB/pktW13AaEusCAePdbyWzVr3AQnEitZrYivJHFnPfu3QtnXA6iVoHztO8ST3BuFVaBu9aH1GUVLz+nCxcuRHY+dM5x+N22bVvvxo0bsXK6lSWSwPPnz2OVOX+969evh5NvS8/jbBFIFWy2+K+au2/fvj3WpJw9ezZcSjAavnBWaZOCuJCgHz9+RGgR0SC5EljRK44QdQ1ZLb1r167wgWtMhasChtOIRHX16tVw1OUjh8lhMghT4giL2KLYn6wWP3PmTO/jx4897i8t+JmwJ9euXetxyeCeIT8VMmmOEKjL/5MSgbEQqI6NpfpklRoUrNQmXKq/UakMqVSDdP/62ukjrcZP6p+r3uClSkfxv4Y0KdW7vVSJqZ/uXA1RUqqLQKnMI66vxu5+evWHK5WJRXr1lSrVPSHS6iK9UoO69fP54VyNxRTnLl++XKp/WFznRI06WaojbamuIJGeX7NHIG1AczQYrJaqUMU+f/4c3tUCiJFAOIFSgUgyHEfZjJr/kXhBHFEF1yLZfP/+PZx32/NS74SJkC6NE6VgYsPCTJCaOFc+ePAgyhctYMeOHa2oqBP/MRKa+4peIF4OT3QzZ1S9v3Hu7N8gf6woAqmCrSica7cw0+8885EOzjny1q1b4WnO87obGJ5dpzEf+QVWQxgVZ1JpnHnbR3A2YUr9FyuHQ+4w5hOFLHyxI3GqbI7BrSwe8WxOSHAyNiKe9dQ2zEqUwmnGhV6obh5GIJBG6BHA5OnFCIhUKLAWSUKAsEYYADtPN4iYsCFsQULVIuFGXMOAzVbEjiPEKqaBBOQXKwnjEr8YgxAf26wb4hfFLmQNUCN52Z9EOhSpspGymxe8qI2YIxuVj3LYpZxnE0qaPQIpAc3+HayKGoirQ3Jh9H358mUsRBR03W4WpIzBDn337t1gIgzDvLvNdGE4wktgUGIjkYYEdjt//nzERDZjtm/fvlDlBO0XtE3sJUHUB6UqoInISOV79epVzNBRA6logtMjwbzE1cEMq7UjlgpglJhc0pwgMHszVNZgtSBQGUepYSLC+Fybb6kMpVT7S6nSS/8RGKHrNHmps1KlhpAoVZ0qlQmUGpOmn6dGjSxVuon0KsWUavMpNexEP71KW6XOfpWq6kVZVYUq7o26Rug6/R8G5yrxxH22bNlSKrPql1PtSMW1NQhXGL4ZzavtqJ+eP2aPQBqh52QgWE3VqM22J2QE2w4VrEskElPfpBDbCZGaukHWunkZn0k2JJ9h5HpxcAbvMZhXwC22IztiDCO2IveSvpRtadj1eW5yCKQNaHLYrtmSdWJR+5Yi4T//RGan/kRLXd+uZfMZxXzkofoxdCfNHwJpA5q/d7KqayQUKqkmKREYB4FUwcZBKfMkAonARBBICWgisGahiUAiMA4CyYDGQSnzJAKJwEQQSAY0EViz0EQgERgHgWRA46CUeRKBRGAiCCQDmgisWWgikAiMg0AyoHFQyjyJQCIwEQT+A1elBqsCjvrcAAAAAElFTkSuQmCC" /><!-- --></p>
<p>We will now take the species versicolor and virginica and make
longitudinal data. We are going to see what fertilizer does to the
Sepal.Width of both species!</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" tabindex="-1"></a><span class="fu">set.seed</span>(<span class="dv">42</span>) <span class="co"># the magic number</span></span>
<span id="cb10-2"><a href="#cb10-2" tabindex="-1"></a></span>
<span id="cb10-3"><a href="#cb10-3" tabindex="-1"></a>iris_subset <span class="ot"><-</span> iris[iris<span class="sc">$</span>Species <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">'versicolor'</span>, <span class="st">'virginica'</span>),]</span>
<span id="cb10-4"><a href="#cb10-4" tabindex="-1"></a></span>
<span id="cb10-5"><a href="#cb10-5" tabindex="-1"></a>iris.long <span class="ot"><-</span> <span class="fu">cbind</span>(<span class="fu">rbind</span>(iris_subset, iris_subset, iris_subset), </span>
<span id="cb10-6"><a href="#cb10-6" tabindex="-1"></a> <span class="fu">data.frame</span>(<span class="at">time =</span> <span class="fu">c</span>(<span class="fu">rep</span>(<span class="st">"t1"</span>, <span class="fu">dim</span>(iris_subset)[<span class="dv">1</span>]), <span class="fu">rep</span>(<span class="st">"t2"</span>, <span class="fu">dim</span>(iris_subset)[<span class="dv">1</span>]), <span class="fu">rep</span>(<span class="st">"t3"</span>, <span class="fu">dim</span>(iris_subset)[<span class="dv">1</span>])),</span>
<span id="cb10-7"><a href="#cb10-7" tabindex="-1"></a> <span class="at">id =</span> <span class="fu">c</span>(<span class="fu">rep</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">dim</span>(iris_subset)[<span class="dv">1</span>]), <span class="fu">rep</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">dim</span>(iris_subset)[<span class="dv">1</span>]), <span class="fu">rep</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">dim</span>(iris_subset)[<span class="dv">1</span>]))))</span>
<span id="cb10-8"><a href="#cb10-8" tabindex="-1"></a></span>
<span id="cb10-9"><a href="#cb10-9" tabindex="-1"></a><span class="co"># adding .5 and some noise to the versicolor species in t2</span></span>
<span id="cb10-10"><a href="#cb10-10" tabindex="-1"></a>iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'versicolor'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t2"</span>] <span class="ot"><-</span> iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'versicolor'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t2"</span>] <span class="sc">+</span> .<span class="dv">5</span> <span class="sc">+</span> <span class="fu">rnorm</span>(<span class="fu">length</span>(iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'versicolor'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t2"</span>]), <span class="at">sd =</span> .<span class="dv">2</span>)</span>
<span id="cb10-11"><a href="#cb10-11" tabindex="-1"></a><span class="co"># adding .8 and some noise to the versicolor species in t3</span></span>
<span id="cb10-12"><a href="#cb10-12" tabindex="-1"></a>iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'versicolor'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t3"</span>] <span class="ot"><-</span> iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'versicolor'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t3"</span>] <span class="sc">+</span> .<span class="dv">8</span> <span class="sc">+</span> <span class="fu">rnorm</span>(<span class="fu">length</span>(iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'versicolor'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t3"</span>]), <span class="at">sd =</span> .<span class="dv">2</span>)</span>
<span id="cb10-13"><a href="#cb10-13" tabindex="-1"></a></span>
<span id="cb10-14"><a href="#cb10-14" tabindex="-1"></a><span class="co"># now we subtract -.2 and some noise to the virginica species</span></span>
<span id="cb10-15"><a href="#cb10-15" tabindex="-1"></a>iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'virginica'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t2"</span>] <span class="ot"><-</span> iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'virginica'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t2"</span>] <span class="sc">-</span> .<span class="dv">2</span> <span class="sc">+</span> <span class="fu">rnorm</span>(<span class="fu">length</span>(iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'virginica'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t2"</span>]), <span class="at">sd =</span> .<span class="dv">2</span>)</span>
<span id="cb10-16"><a href="#cb10-16" tabindex="-1"></a></span>
<span id="cb10-17"><a href="#cb10-17" tabindex="-1"></a><span class="co"># now we subtract -.4 and some noise to the virginica species</span></span>
<span id="cb10-18"><a href="#cb10-18" tabindex="-1"></a>iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'virginica'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t3"</span>] <span class="ot"><-</span> iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'virginica'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t3"</span>] <span class="sc">-</span> .<span class="dv">4</span> <span class="sc">+</span> <span class="fu">rnorm</span>(<span class="fu">length</span>(iris.long<span class="sc">$</span>Sepal.Width[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'virginica'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">==</span> <span class="st">"t3"</span>]), <span class="at">sd =</span> .<span class="dv">2</span>)</span>
<span id="cb10-19"><a href="#cb10-19" tabindex="-1"></a></span>
<span id="cb10-20"><a href="#cb10-20" tabindex="-1"></a>iris.long<span class="sc">$</span>Sepal.Width <span class="ot"><-</span> <span class="fu">round</span>(iris.long<span class="sc">$</span>Sepal.Width, <span class="dv">1</span>) <span class="co"># rounding Sepal.Width so t2 data is on the same resolution</span></span>
<span id="cb10-21"><a href="#cb10-21" tabindex="-1"></a>iris.long<span class="sc">$</span>time <span class="ot"><-</span> <span class="fu">factor</span>(iris.long<span class="sc">$</span>time, <span class="at">levels =</span> <span class="fu">c</span>(<span class="st">'t1'</span>, <span class="st">'t2'</span>, <span class="st">'t3'</span>))</span></code></pre></div>
<p>Here we plot the species overlapping at each time point. We can see
fertilizer caused the Sepal Width of the versicolor species to increase
while the virginica species decreased slightly!</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris.long[iris.long<span class="sc">$</span>time <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">'t1'</span>, <span class="st">'t2'</span>),], <span class="fu">aes</span>(time, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb11-2"><a href="#cb11-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>) <span class="sc">+</span></span>
<span id="cb11-3"><a href="#cb11-3" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb11-4"><a href="#cb11-4" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb11-5"><a href="#cb11-5" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>We can easily flank them using the <code>rain.side</code> argument
for 2-by-2 flanking (i.e., <code>'f2x2'</code>). This also automatically
uses <code>ggpp::position_dodgenudge</code> to dodge the boxplots. Yet,
for descriptive purposes with will use the flanking argument
<code>rain.side = 'f'</code> with the defaults from <code>'f2x2'</code>.
The <code>rain.side = 'f'</code> argument defaults to a 2-by-2 yet throw
a warning if you don’t remap the <code>violin.args.pos</code>. When
using flanking with more groups or more time points you must give
specific <code>boxplot.args.pos</code> and <code>violin.args.pos</code>
for each element. The left elements must have negative x-axis nudging
values with the right ones have positive x-axis nudging values.</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris.long[iris.long<span class="sc">$</span>time <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">'t1'</span>, <span class="st">'t2'</span>),], <span class="fu">aes</span>(time, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb12-2"><a href="#cb12-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, <span class="at">rain.side =</span> <span class="st">'f'</span>,</span>
<span id="cb12-3"><a href="#cb12-3" tabindex="-1"></a> <span class="at">boxplot.args.pos =</span> <span class="fu">list</span>(<span class="at">width =</span> .<span class="dv">1</span>,</span>
<span id="cb12-4"><a href="#cb12-4" tabindex="-1"></a> <span class="at">position =</span> ggpp<span class="sc">::</span><span class="fu">position_dodgenudge</span>(<span class="at">width =</span> .<span class="dv">1</span>, <span class="co">#width needed now in ggpp version 0.5.g</span></span>
<span id="cb12-5"><a href="#cb12-5" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">c</span>(<span class="sc">-</span>.<span class="dv">13</span>, <span class="sc">-</span>.<span class="dv">13</span>, <span class="co"># pre versicolor, pre virginica</span></span>
<span id="cb12-6"><a href="#cb12-6" tabindex="-1"></a> .<span class="dv">13</span>, .<span class="dv">13</span>))), <span class="co"># post; post</span></span>
<span id="cb12-7"><a href="#cb12-7" tabindex="-1"></a> <span class="at">violin.args.pos =</span> <span class="fu">list</span>(<span class="at">width =</span> .<span class="dv">7</span>,</span>
<span id="cb12-8"><a href="#cb12-8" tabindex="-1"></a> <span class="at">position =</span> <span class="fu">position_nudge</span>(<span class="at">x =</span> <span class="fu">c</span>(<span class="fu">rep</span>(<span class="sc">-</span>.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>), <span class="fu">rep</span>(<span class="sc">-</span>.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>),<span class="co"># pre; pre</span></span>
<span id="cb12-9"><a href="#cb12-9" tabindex="-1"></a> <span class="fu">rep</span>(.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>), <span class="fu">rep</span>(.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>))))) <span class="sc">+</span> <span class="co">#post; post</span></span>
<span id="cb12-10"><a href="#cb12-10" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb12-11"><a href="#cb12-11" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb12-12"><a href="#cb12-12" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span>
<span id="cb12-13"><a href="#cb12-13" tabindex="-1"></a><span class="co">#> Warning: Using the `size` aesthetic with geom_polygon was deprecated in ggplot2 3.4.0.</span></span>
<span id="cb12-14"><a href="#cb12-14" tabindex="-1"></a><span class="co">#> ℹ Please use the `linewidth` aesthetic instead.</span></span>
<span id="cb12-15"><a href="#cb12-15" tabindex="-1"></a><span class="co">#> This warning is displayed once every 8 hours.</span></span>
<span id="cb12-16"><a href="#cb12-16" tabindex="-1"></a><span class="co">#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was</span></span>
<span id="cb12-17"><a href="#cb12-17" tabindex="-1"></a><span class="co">#> generated.</span></span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>We can connect each plant with lines using the
<code>id.long.var</code> argument, we will also use the convient
<code>rain.side = 'f2x2'</code>. As with the <code>cov</code> argument,
it must be a string linking the ids of each observation across time.</p>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris.long[iris.long<span class="sc">$</span>time <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">'t1'</span>, <span class="st">'t2'</span>),], <span class="fu">aes</span>(time, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb13-2"><a href="#cb13-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, <span class="at">rain.side =</span> <span class="st">'f2x2'</span>, <span class="at">id.long.var =</span> <span class="st">"id"</span>) <span class="sc">+</span></span>
<span id="cb13-3"><a href="#cb13-3" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb13-4"><a href="#cb13-4" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb13-5"><a href="#cb13-5" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span>
<span id="cb13-6"><a href="#cb13-6" tabindex="-1"></a><span class="co">#> Warning: Duplicated aesthetics after name standardisation: alpha</span></span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>We can color the dots and the connecting lines by Species! We will
also remove the lines around the violins by specifying their
<code>color = NA</code>, yet we now must re-add the alpha argument.</p>
<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris.long[iris.long<span class="sc">$</span>time <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">'t1'</span>, <span class="st">'t2'</span>),], <span class="fu">aes</span>(time, Sepal.Width, <span class="at">fill =</span> Species, <span class="at">color =</span> Species)) <span class="sc">+</span></span>
<span id="cb14-2"><a href="#cb14-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, <span class="at">rain.side =</span> <span class="st">'f2x2'</span>, <span class="at">id.long.var =</span> <span class="st">"id"</span>,</span>
<span id="cb14-3"><a href="#cb14-3" tabindex="-1"></a> <span class="at">violin.args =</span> <span class="fu">list</span>(<span class="at">color =</span> <span class="cn">NA</span>, <span class="at">alpha =</span> .<span class="dv">7</span>)) <span class="sc">+</span></span>
<span id="cb14-4"><a href="#cb14-4" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb14-5"><a href="#cb14-5" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb14-6"><a href="#cb14-6" tabindex="-1"></a> <span class="fu">scale_color_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb14-7"><a href="#cb14-7" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span>
<span id="cb14-8"><a href="#cb14-8" tabindex="-1"></a><span class="co">#> Warning: Duplicated aesthetics after name standardisation: alpha</span></span></code></pre></div>
<p><img 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BCwwGTD5AIASLEYFn9Ee5uUbYRGtVQyGwcEAB7uNNu3camOtrLt5AFoZcf7wjwaWo1MK0DHRSJPmFZ4rQKVm6XpSNtB61kDktaERWuAp2lUcHTtAn0dLi9M7Sht0arVRrcsSwdmSww+DNlsGhDfH5CrPw9AjERenj0jgGnlCGSikOVzBoRUdN2U8uCSO3GZL6PXaiEDfTaTXV2FICYlYiGCix0vV5mCrIv14DWcT5PAZzlkLgB6ssXs169ejiMvf5t5DWj5x/jCOYJWeAB0HIHMa0mAtAe/bg5m1hqVIYUSofkQiUwyKUGG8xXnYkd7Ult1oq7Iiiefq1rgs3GZwIc+JoNCuVnEL4xGP9abLOBnWG+nmO/vgkfAN62omyNXuaH14LUSceyVbNZz+ZoxrWY7R7geOJ9SzePNVeryAvgZUjNIfSChFO0JbYqJT4LqBplyyynpKcXIpjvWE9KCfmnXdN+s7c/yALS2f58V750Hf4NpRXInLnPntZKbiJo5ejivlSjbBczhlT8XHZFMdjxUaAcAxULIYd/FjqdpS002M54lcuCP4JGWW1KB2TUgjv/oqTwALffvkG9/mUbAcxnlgI4eE6aVCwKUaeX4HPKu1pkQj0PVQIID8XJVLcA6nOxih2DGzCKRFA4IE2ylisKnbW494el2JbZKS1toHNNq/bxzn9lq9Sx/3OUbAWdaaRYREAjoYFqxxEyhvFalW7IxOqxlvk7FN5dwt2+XxrKQTPbJLnaABw0KrYfVKFYSfPgJMpD7cwj81GOnzZ63fY4N19jX6/cqW2MDuea7M2FaZctYyLTSEjMBVQIMRDW7MK/wWq0Lw2r2kab0BblYlEvdVr2w4MLJLnaiowlUhEOiKiI5YuSKrZjI1s14uRm8DzTnAWjFfpdn84E8NJiDSuI9cad5vSeVPxWxYGm9eduut8Ce14jnmLhgZVqdDQgk7wpByylvNA8CeR2aVtmTmP6v7x4vn4hEXkgCqN8GxebJhvc9XcT5YHKh/cwkaCG3HDB7sDnLNb3xiixZ/dOnFY8pk/DyjWavv3yePJS0uIzJ3ZaDPNWaNTkBzPUieQ1ovfxSk/t53+fMO3SrZoeutK5DujwFOBuusOCT3zYvMWreluuyfM6k1TtdFDKgM2Fa5XZPnXzQtfsargatB+1noebRVBe7z++QZsHaX7kELf7j7Wb725QBL60pKTD6m1uymtjeBnEz+qnuUC0gwgBeu29+Y+nlGE/FOQB+N+yaX/uruXVu0LqaPcwf+9wRoND6qfsssPFyC/Q2iySuMA8zqmO/ZQrFlD71Xd0Ge3TFa/VOiq5TfL1qW3bJmXXM65w7CM+8g2wmI5zIZvKvfOB4Zou5X8EZHenMag+YbX4bFCUDfPCezRUxjYnWrH7sqc9qOEW6teN9Iz0D0CnQA43q7uPyomVDqObuGFsIXAP8yVHuOZHjhmtks7wGtFI/xGCbZX5x0zlHC770f2Sr+p3z6exvvIxmi8woVxUQNSZNsS6JNJ+AFtALFMr+qLkom/6Q/eaC/TtCcKE0H8jmhWayAxK46iPieXeIsPaX2kGj4jufgJ5rENE+ovKWE6RIbhikNfFG1AQCxChw5oIf1ddU7ngC+khy3wEgxVNXO4upONe5rOT3eQ1opUY7IRJhQNFikx+YSPOV4moLqnSFN3DGvLJG6fpaCSIlX7NWfvB6T4iwVDXB3lPm9cslQmGveVy88+3Kam4POFBxkAx21uiar/sZsw0NB6CpkOLoL7UDmAFqtE9qRa7RxWhN8EW0h9fNz4wfFQABboAPkdjEEs03JCAoFihXof8sgLheJK8BrdAv5QL8luBYAdzlL3ifBW75kFaA0GsBmofpJVMrWLXF7Dn/1TyBknOxj2iGushlzQ4XSKjndW6GMcFwh+ORouwFMT7zJZunc7Hz0/jggxdsPqtgsB9R0a/aa/btx7LmIHWgX7gjG7SIeeiKncm8e/f18+9vSGuczUcAoNdfMaE8zWfHVdg2D0ArNOgBXaT6vzSCCfaaj1pgsF1mV1aJdZ4vcrIAnImj+AGGzhPWdzL7KfuKjHZlMbQc8XqStBQBl8kuMweNYzaP1EznNZ2LnW0BEVfNUG1TTgOtKBdBk/L7dEmD2dWvVTyOFF3Mw0s3ZLkjAJPt6C9a0nwl6EmNmocQuf3kGWXIN81jp1XaNA9AKzTwSwY+E/0NoMlUZK8wH3CmngqJoi6iGbe74oBcqQzyuobazRtsdXFAHqtKQGKzre++n9rQGniPBkHZVLiWhWayT+di59T4bXzwgciGr8lFAETywyCxt1Rlc81oB3NwpzxhRE8jPqmdfTf/v2FPaDZPue1IHoDmOWQX9uaBUHjpNKAFDFWAUqdaxibAUjYTkdAuKDEur9pIl+wCEdjSjDy/SuEaMtUwYVwmuyxOiOL5Vv8DtE4LGPws9smAgGZCSdZhzXFAhBiiXIQ2WTeM+B4AkT7hjSNJlfeU6lgqKcjMH4AelwYEj+WD4FL1ZanbyWtASz2iM7W3wrWOZ+qG+xyzzSWWxtxbVxCewvDUacbNjyaERuRvk8Pa6bMebxFfEgDYJhMGYpdM9vmaMH5aBkCzdQrAOPARMDnwEWjkWh8oJdA5JvBBA8JtT59YnYJMeVI/ljoQsMCEwPMUzu0OaUGvu3yeO67w5nkAWqkBX8N8i1vYj1QMVhYlZUNA5I3JVJOZ5onkDqjvRE4vdH31hQwxnAxBgL26iy80kx0NgDZwre8Q+PgudvrDBMV8Ill1q0AjV40FU/C49qN/gI2eHBjRJqEAk+sM0fb9zdn8MVz9aEeXNIq+u1SgJW0uV4lkROosQG4XAL3msmwc0gJ2X5Fd8gC0IsOsg6yXtAc0tdJaJaVqNrHsMQXlAaPRXvOGO50XzZlqaEes1YVXbokF8wazCBd2rnE4k7sAuOCVgoz1s9gne8omczeYS9QJykUAEDQfODdMQcwvOB9CAabmnaF5/e2t2RigB04Iy2VFVcm8+8GTZj89aPbRN2S1ulyOG0kP57LZedsAwI+dkWN083lfrZkP8gC0Uj8FrvL1JoCLCGpHUuuW7ymWyRHZ1AoCkDDV0JzEGznP2hKYagTxQTajYTCpcwUHf2iJjEazoR0imCkYNlkAH9rn+20CkVwz5QEUOB+imtF80G7gpUoEXnBHfD5Zvv6QQrS0zzFhNloT4EPfGiuUxtchIHoixzKqGuJoZmhy0/N6/Z+H8gA0rwG7YDdGs6AwO6Uv1qMIbJzGI62HlUo9rdee9aoJjAbldyYwkkUF/XgjOKR5Ci5yJrXTKDTJJ5tMuTQFyQzZDC76WeyT96MgPcGLaC6AW67gw9phgFohmo76RSoFGhbeMngpNKKpQvQzAYgj+rlZqmdcxwRUEdIyOM+cRPtEvcGcNp1uI+oEEQYwmXifbrvV+iyvAa3kyFMzOa0r9wIQeCHWogloqR35+KVSQGL3Zz1qcvMT8AhndNarNhGvNNOpU2eHiQIRTBDgVI1ipv38z30Xu192dSpZfdZrJW0EEMmVKAbUMAdJJoXEJgCSvsJLYR5OJ2g8uOIPtGa5HrQtwAv8AYR4v1HnmKtEUwu/ZjjebYdz1LZy7dASbpcHoCUczLmaIi7HBQXOteF6+56IbJJf9WCG4VULjE8UOxvp0cSTjsAChBPakQsJmDhH+BpSItAqFlLiFGCB4EV7ItCPWj1oQJOFbdB88F5tF7WVa9oG2fVoKqz5RXwQWg+8ykw1gTgX8rAAKMjme45rXwFRn4YHEw4+iv2v22b2lqsm93D212FLWCQzrDXiS2ffcIZv7z5m9qYrs5rlDJus2sd5AFrBoXcpEyt4vFU5FKaaAxtMNfVgYv13B7zkp0k8aYJoR6nCcjsxUOw0gvmkPrhG9Gc2F7u/DbwL4AP3A3eTawwRQAEwurpA0nz8OCLyw1iCZ6oAVnjc6BMaEJHQ/+VqaTt6HRYgnhRIJvV6l4LVX75nfl4wjlWS6rVxotgXIIQZPNCsDJ4dC9h5mXfJA9AyD/A5zS8BSXtOe+vhDd4/uCHSRJR862KNRGLHeztUZbBNC/sV2EX1MYsGhVaeJtgcppp/ygDETC52fxs0HsAHzWQ+4EPsEdoOGgvcCeQzZhMmGIA0Wficfrh8Lx2POkBoc2hjezfkzjNNbnO612Xpbuu1zdN9ldNnmGF5AMppqC7cjVw8zYV7enOfGbyQsvb7g9V2Ztyzosoh21oyYKGE+KMezXLAB9e+C4DUzJ9mNVVhiZvwuNhnS0Z1dYLUJBwI4DM5Pme2jvpcEhwPIOJrT460nuSuh9BmQULIZjxiOME4JuYe2fnbq+ev5czWr/K03GmLEAIlMVVJ3l1LkteAVvLXmGZCreTh18KxIJrhSGLRgMjmcmWyC2iQyYse9qucCJ+JMzvrVZMWxQSfzcXOLgjbMeGQyTV+sp/M/Nev+wzwAG5H1AZ00tQAQ7QvtsU7hmmHt2tMryGq60qzBPMUGmrmg871jRsIkfOLBCAOQ0XGt14z1wFX9vs8AK3keEPWLpUon8sbUEKprnRPEcx+VvxSNb/U7TBRqZUDWTwtiYuHEG6orMGFKmRrWYvIxqOmiOyRdKG1jcdU9TFmOxpL5cWaforDvxAsiMwHfNAOiLrG5CK2hzamBhii6ThzS5wKphd8Et40TD28b5wX2zx8UgdX96KaXeSW8R2R1qSU4N0jPilnmTjNipTGYZFy73GzX7tqaTWzRXYphwWHFnuE/P5nR2DiZnb2/YJfKAbHu+sfBUCn3GS1AtkLr/yI41oW3OYy7ggoNPdmydmcMtmlKbqk2YnE2Y7uIevrGbAS67fGYJeFekJy708y1SYSZ12ksrSWoCY54AOAzCWYaKfF4cDb4FZnn+NqA2AhRYOqhmhUmGZwQ5DMfIaGVCI+aFjkM/FKFBn7/N1ZzxeeM9rNaLsmgQ0mILE/eNMALjx1f/TS3Prn978iKZ/+IgUy+pHTZtduXWRDS7h7XgNawsGcq6kAWstcG83xvceV/ZP/6QL/AnUXZ7fuPmLeA18we/57pQlN3DLnaGelvuaiZ0LSLaoO5uqFon/wLKd7gzaYiFmtqsKjnQSSIl2IOSIaWzWOXDS2ADhZELMTIzLpFJ+UK/hATtM3Yn0IKERLw8TzV9VgJAEdwAdzy9d04Ic4H75Du6Fg/Uf+w+wh3Q/YFi2HNon9EXbaqLQ+YZi9RD8X3r7DonNIyWDVjFwlJg0ooMqIXo4rZMzULi75tQRAGqq8rNQIeCldlTmIpxKrXvt+F09z3uZuFVPdsn3wUUqEaUkea31UuVq6dVNqY40IBC1pDxDAELPzAR80DeobM/HxPjHJHbYSYa36RoBvoGGvXm9UlHHATp9staLep+2izAErGG5R6LHQAbCeQQAfwAbv1RaBAtoT5hWaDO8xpQAKtumXloMGAwACbmhEgE+NugI5TewPEc+0wSEBMrQk91rHH1RbBFgCdghA/LDAaj4SspQBQosVlu4hZGCtSF4DWsFfIoDplMvxRMJmPnG1Bd/+AwWOSFefLNQVwuQQ0DhtB8+R2jUKjfWdEGeiK0xaQGDC/Q2vYgW6+ifMlMlNLddrJh5ubACImJmNPnjkeMDJLnYCB2dMyVB6y1ik1k4M1Vq4IWObSgYtnBRvBCiTOOsCJIUa1DiK6nmCg8NTBbA417oAhAkJ/4NpRH+pCY2XDRDEJEPjadTuACjm2bAAhe3Q0CCqiRECkGgPcEL4DuE91TCJB/ITYvlsFmzM7jjN3+rkaesPb5jmm9w/Anjvb87GIuW+1/JtmQeg5Rvb81p2yyCf9+n8PnApEJe8xuzxb4h83iigEbj0HLXA1f81qxEk4qoJrbXBCABUbR9d6u4ArILqkT6hpNiAAyWRGMvglWNyc6dHc5kuGXS2s6WnLUx+gcFsLna/DQACQCjQVby9Jqi6PBX6SsmzbMAiAC49REhIjaN+fSrtKVVYYc0y1RJexBUO6xbQDGqo0LAAhYNSMjCfaINcsVK4HgEPJDU8FsCyoTyrIaV1XMwyOKdGgVer7gHOVEMT0v5M9iIBGAmxZPajBQJEeNDeeLmy4p/Opp/QXTQiNCgiqGdK8ahOnrJj0eey+aLk/hN5AFrUAK7bndFSlkACu1+pq15X9tHbsprNi/5QM/BF2ZYVLesmIO+YUSkB0gQoOQ1MmoFHmQ0ErQhNaTIoLSJYkgmEyZVW89MF7WUPOv1ftAKnlaiNXIALE4ljoR2R2zU198stXcRYUONIpi+cUWpkwM6carFQ5oxtqyqyrtaYjSgMoLqy1HE3nYNZ7Ya2MBvReEakXJ4R8MBlYXJtF4iUCpgAmMMd2T70CcQuFXCg4RxTn9gezalYeH+xtr9MXSjSPoAlaSDveH5W6/qtf31mLD728+xrynTM5CqvTjY/s8MiXhHbRE7bXGudLeIQOe+qYc7LiowAcS7clZdKdr7MAnrMKpAmuLbReEy2hsSBE6agQCkAONEv8rUymk1uA80+9mF9MT170rCcOfcMrGW3m/LXFXuXlsDk5U4/o9k0ZT/eonFgxiBwLHMliqJlAFaABOAD3zKrCFQTRXV2fFgdq05bXcGgHe8YsOEBzUSvw1pPhG3QpNbIVCspK7NNVSHHBaFZ9egnQxu7uD7rZqevaElER6M9gUTlGl54I1YkJXoaEts3t2bqF9UKkTdflc2qhzf6l3uzn830tzbRPNNX8/6cUIFX7p33bku+Qx6AlnxIZ2hQCxOuGYEjwhwzJZD6naJMCGYb5hvLO1OeFVJb4jxNYaVTCJS8iWfTs1+MzM9kJ9YFb9J8Mtn9yOOZstj97vnPaCKAD9oJBPBs4IMCiFYGpwShTBmOmGyiQ52V1j9WKbe4J85oxMoKBmynHhtKesX3aEQKSmWiyVQbLBf1W+jWB8P0woXdLODpFCih5dWUZdcOI1AR7Wg+VQ798+G8Iagx5eYSghELvVFLBLihLE4w+fIAtLgxXFd7e/6yOGu11/BBPCi96veRMhvSlM6C0rhu+RQim2BQvVCRtY0WWX+62Oq0jk19pUAqR7KbCY3Wg+aEKeBc7GcP7Hfg3GcffDBj0HwmaxnwLZDA8EJxaUg88x5TjQBAAAvupkW4ysqkW0QXhYVe5dFSRS/rUbZRppk0QwHvYP+gdfacEch4VlwSlXcs5nijznFxSBqSKvWXpXsubshqPOf2cvnesURzbeKEtUQWr7r4y1lPzW1bvt5P3/KKaUCdnZ32yCOP2O7du23btm3T9ubUqVPW2tp69rvq6mrbuXPn2ffr+kXP8fXXfbxGruLhZF5JtoI0pcRY3Fq6RvVyzJqK2608oc9lmniAmPPAYcbpTs3rKQX5AQdKmWJ25BSYqJHD9KEuD+bZJmlZAIsPNhC7vgucQcY0Iy0CjYRt9jSi+ag8qTQYtqU6IWYSLvcNAhK2R7xAkZ1KFNnxeL1lIikFPg5aa9+AjQ11yURtt81CsbractsixrqyUupPjomz2daX5m9d4viSAJAw2J5oWf0E1RUBoB/+8Id288032wtf+EL78pe/bG9961vt1a9+9Xm/yD//8z9bR0eHVVToqpDs27fvggEgr/Pp8853XX6gSRcPlCjoTzaHJvCWJrxFupzhlQRMAT0cryTzzfNX9IQwFxDBRaEttQwXWUGkSLV5AnNyRZDTEKbEBFFZEI/T0xPWLBRXEWAjzANMAB1eoxmhWQFYcDKAE6uFsmoFhcBwqxMa4N/90Z4IGdivex+5amhL0XDY2pJVloxUiaP3bEvpsG2IDFhNcMCCcXFmY+qIwNmVq9Xaar5H8YTUuuO3ftWiI6fkdItZ7CXvt+8eqXCufsD2vz0vy5Mt9LevSxxd6K7n7fekzne1M+SXHYBQ12+99Vb78Ic/bFu3brXLL7/cPvWpT00LQEeOHLG/+7u/s82bN583WOv6A7mDTbE9F4KQskCdHLQGJlQ23UEz3gGM1AqJ3jkh8BLPm4lTyohb6uzsswF54eSAsjoRRcE+ba/9XClXPSeDUYunBHAT2g2ua2J02nQ80hi2CjRwjQMygA1A4R9r4pDuCc6HPgq7nMsb9zn5XWhCxPrUorzoO7Qo4n0wy+CIUgIqajbTPnxRVBjTqOPWlgbkGi/T8bSjCXEBWXnVnJu/b+J3Fbh2jhVb67//jVUUFth4pMZG+nus7St/ael9f6WVVmOuFvTn7jT77y9y3VzQn/olBKADE0C+oI4s0U7LDkAEy33yk5903U2qSvfdd9/tgGhq/0dHR623t9e6urrsjjvusBtvvNGamvRjTxLMsy996Uvuk+bmZisq0tWxDsQ785D0e5Te9S2Un4A0phYyKQWTOZjpzozYI9ODNAlMrrg0j8b6lNVEZMLp9x7WY3xwSOZct40LbNLAgnglAikLS4qtELLVK7JLm8JupdHpwGbqcdFkjgpM0HoGhH1oTxQR2yO+xueZ8Gz1CKR4xvVOpHOl+gagkrc2KnOPNAqnKWlftKhzxAfbs4mzg64C5MN33GUN3oiNBjdZUIGinZlqK063WF3vvdZf8koXXsA44AZfqMTSHaqOOKTqiIDh4oQocAJG55Ucu7hDnrf3sgOQf8TBwUH7jd/4DYvH4/b5z3/e//js87Fjx2x8fNwefPBBi0aj9vu///v29re//RxNaWBgwH7605+6fQCswkLdBteDnLpvPfRyxj5iohBc6DLZdd2T9Z2rsBwNK0NACNdpv4FE2NqHyxSkl51A5NFGYxkrC4xaxItb1PS7igweHOoX2Hm2WT9xI+pOj1DPcUpCA0IEVMhsqpBKwV2dYEiOC2FMDM5eaT7wTUw2AIfveA9IYdZdujHLEQFeVDKM6RBEPjdI45rNy+aOL86LGkemR6rgKUsJGMbSIaVuiDLWuHkyP8fEk6FtwV/pfnw2Wnpq//336c++2AL7ftWCyu2bThoSx+xk0RXTfTXvzzBtnxUAVF5ebt///veddvPud7/bvve97zmg8Udsz5499p3vfEfknm6tkosuusi+8IUvnANAbPPzn//cff+Tn/zEXvnKV7rXa/kPqrrX+vha7uKsfYODIeAPzWBLVVb7mWmHczxRAhyimgEF8APtgzYwbzCBnBml11kTTraOybXkHlm3+emEZxVlcWssjlswPRFMSXrFlCBKiG4vXGwHeovsULfCC9QKfYYb2tsknkdYhcZBzA4giNkGCR1XX+CN4IEgqvHIyXJyYQQU7aJ/8xG0qGDjPksd+YZFqmoV4xmWBpe0SKLXRqv3uTHAnMT7R6gC+WMzSvdRIeHMalJ94siSARDesBt2ztiTZf9i2TWgRCLhvF/XXXed0D9gN9xwg33605+2/fv329VXX332BPv7+w0tyQcgeCAI6YyYwyDM43qVY7c/M2nW2TkQ8AeRy12bWJfJk5KJ5HM1/jMaBQIQwa2giVADGeAqljU2pzahfdkP/qaimIJl8qRNxLwALIhbDigp22EiXmm4t8cOtyuYUNpNmTJGAaRQJGp1xVHr7o+qrk9UpqLc7QIaorMBJlI9QCrOC7MStzzpEj5B7Q6U4x/OGZAlROCSS7ba4ZH3WfkTX7BEsMRqpF2duuIP7ERqu5XL3IO/+v9elH3OsXmd8PlbNgiAlkqIqVpNWXYAKigosM9+9rMORK699lo7dOiQ9fT02JYtW9x5w+U0NDQY5tUf/uEf2te//nXH7eA5A6zWNfhw9Rz+yWr+vgs+NpOUiYXZgDmCVoEJBtjgykabQQAGtApIXn8RQHgizDR4IiZ+roIJxDHhXNh3OnEBlOKIksrpapHm8qQApFtBlPXVcVUlHLWggKksMWD9bV1O69ilwMIKqUFlUnUG8cANRW0oRbxSyCWVlqvf2yp0jjK3zkvnmK4DE58BsgRgwjGxH0GRaHrB5z7fWjbvVQXDftu9JWbXxyrspdoOoKLSou/yn6Xpc7+a5t5bN3703G0W8Y78NW4mudwcFnGYGXdddgBC64HPAYQ+97nPWSQScR6x2lrdUiXvec977KabbnLesTe+8Y32rne9S96IlGGyfeQjH5mx4+vhC+/k/cpO71gPXT3bR8hgVnDgwmSyENXslzeFdGaSEfGs+D33Go0CTQLB+wSAkIaB1jOfyUY2OVoMZtFsdYuZ+Ex6tsUdTyJpuRDwzLhQ0Cu3zTV6LzCpL01bZThuEXFKmfFR6+qLW3tfn3hGz50TBPl25Vg0ivApLtZBRXbLIHTnMdcfgJjzhGPCnARY4I7IDYP32bst5rxefjt8v2BRe1OFhQohowdCUi8XKYAPWuBq8UDLDkCMzxVXXOEAaHh42EoVdTpZfvzjH599+7a3vc1+67d+y9gOAFrv4j317TV7CkwUXM1+MB/PTCJc0jzD2aDF+FwNwDMToDBHACw0GAVEO6/TXB6yyQMDoJAh7nudJn83+TVgc0bbOU+SuAsSRWO6nAAEymNctTkLBgBkwJXeKJXmVmqHpYGc1jlZUUb8ddzqisQt6bmyQHFLY+2KfpatiEwEUbrcOcctkbKixiYErQ/g43ikULhKhzKz6DvnDp+E5jYfTcpve77P9eOHbaB48QDEcdvV/wsagPzBnQo+/ueTnzG5LgjwOfWArsrjk09t1V4DEBCwPlcD2PAebQKBCEbT8SfyNVuyYJD9dva/mGbOxa72uIh9M2z2vZ751s8jI5eKqOTpBPOFetLU3sEbxz6YDAAA3BKTHk8XrvPJAulLtC93eAjm2pKgjlGiIMSSZ/K2hMSOV5qIV3KlTBRE6VZ7VWN4sYhT6h1XnM+4+CR54DZXFlmFTDs8WxD0aEKYcCuZXQ4PdLj4hZNPd8GvXVLtgvde3I4rogEtrovrcG9Krz76tSXrOPEaD57KaiuX1o7Zpp6fayYK4Fi+RgXLAvK++AKo+EADV+NzNmg8COYRWg3cDNwNr9mOiV0tbQIuYyZNJ9vCM3/pF8AAEcQyNPBA8xE/ERUTBY1rqjCxj2uCs745nizAjuJe22S979YD0499ycvyzUC/DbZ/ojUbbAgwEAvEAy3lHNGOZ4u3sbqr/2Va6KKAw6EhmW8KGkqN9yl+qdOqNV6B/qD1dEYFSIpXiharP1GLKHREDJAj3h86me0zmhFaExHWhcPNdmXocbthT8T2XAdwCHEXIXjClkog/ldL5g1ABANCGE8WNJaNGzdO/uhZ/do78jMFvJxZkjFgkv/trdm7rC5vK7zlL60m/TMrDmmRP92104/fbCPXfMAGLv51BzZoCwgTEo0AgMEs8k2pqZnqmD+kH/jZ6LmSkb7mwn5oIFl3evbYufz1gxqnAx8mLZrFIwJdF9Es0AGgIKdJKAUo8ToBLGgek4XzJ2sd3gpTCKBqEh/Fcc6Cy+QdZnhNFnzLaKHilmJWrP0BuajGfFxxbGc6lQM3Nmq1hSNWFeqxgECYgmdeMGJ/ffdGOyDP24n+kArdB1Uu1uzKzP32Nu+T1meV1tyZtMTj37WRF35ER1bnFii1yWYFO6ZU+H7eU/i8I6L5rpbk3Psf/ehHLpBwKvjQ8Te/+c327//+76t1DmvruKr54z369SXr0/+9J2tu1GjibW/5tm1LPG7dqUKrjFXJHFCJ8vEh8/Z/39I1z7WS2m3OBAJs0G5m42FQiKjyB3GM2YSna6oWMd1JQFqiLQGMuWaxT20HzQDgg2MiNQJBc4PjoaDX/jbxKv3Z/pP1vrtOGwg9AEdMKcBnOpOHdu9vVtsCVECHbHW0nvmAI5oiUdIAJIAFIQ4xjvSMKD9soMzCxaoZtGFC46MGtwsJiNu9xzw7oYXgu4fSlk6qhLzaKtaa7r/h/bOdCOywVKDQtROOd1rowS/p9R+59wv5E/KSVps8YR2FOxey+zn7EG6xWpIzABE8+IpXvMJ+93d/97wUiZKSxamTq3Xyy3FcBz7junqnCFrGVInph2fknmwxu+WA2R+8WHftKTwGdyfflR0Z1TpgWhkhFZDaIRMhorD/UGbUihJtVt5/mwWKNQMjajEREXmqix1SlYhh1ZHOPuu1BFOGusdwGJMnmPtylj/wRq4sqeZcrlnsU5uDrIZzQKNBK4GPIjoZUwsuiVwzxuASTXCKgDVoG7QgzWVXGB6TEo1rcnoEbeARe1zjiFy9NRu35I+b+zCHPz4Jz3nSvu+aJ54JUxPQ5XNKpp4FdzLiqbyoR4e2w8eS1M+gZQVctHV1YMjGlLWblEaF+QjId2Zq7aL4mRx6NPsm5IUtBQBxvqslOQEQAYItLS32D//wD3lTa5ZfymN5nEM/OW8LLuzpAKhwAoBYqeATvzB7/43nAxAAcUjuXTSFVNkmU90sxbooZaGozEKeooBHRh0oUQYjoAX8PKnlAanlCt9UY/qMwmPUjWai6OofVyHjluFClZ4I2w4RGsXpArUBSGlbAMuB1vmXxWQXOxxMrjzR5MHAdY23yJlDmogUxULTIOYIswvg2S2tBXKZbHUmOZUHiUNl8mJeAXx4uRDSKdj/Mc1lABUt7pqtWXA7CxBuy9n/ADD8PnAhaI5UZfT5LIhsNEWAg0BGynhMFQAdEG0f0m/VKaDS75rUSh2e9hlSaEDKlJph43qOOK2oKthrY2Gd4CIFIvoJe9UiW8nekBbdyAIbOP9Km6YhOJ6tW7ca9XryXM80A8RHShHw7v2sXnCvPldc5O25H+X8juLlfytMYxL0RH/ZyoK32XMLb7OQQhU0LSxQWmd23X+30BW/pispWw4Dk8AVEmMJn4xub3h4VChshDyskYAUooRMlLSFM6qVPKzvJ9Ibzvac2eY0J4GT9usQQPUpzqZCobwbygvEPeiyyWim5lh8jJOl/7j4MXEgZdHswMSg3jOpATT4HTxhmDyYBRDJcFaYMupR1uuVtWJcljzfA94AyFWbFO7RJGUkpyuaHmUF0AF8OHc0HrxxnD6mJqkkpFhMda+zLTcVvgNUAUE4K3gxlu+BextVn1BmVW/Rbg78lr038zEbClRYOJC2DSoqPXj9B8y+m+3DQv/iil8KAchXS2b9uR544AEbGdEvJCGRFK7nz//8z23Hjh1GhLMvdXV1tnfvXv/ts/LZ26+raZqqh0wezIqFCgTyh19jdt8JtISoas//H4v03mYBElyjmjE7btRqGJdmm2fNLB4SJqyb7RNF6bvViR4VESsrjMusSVoQYAroN2R7aUlZ7YfLISgPtGa/ootTyaS19CQtqSThxpKkVVDfRxONCZgVHWVCa3pGe1KbTosSeMn0g/d4rCXkSlEwsdFeKqSQodlhOmEGEsMDVwMnBM8DF4Q5RqIoNXzQgNCKACk0JUwyMt4xi9iXsAHam49wbMCD45Pdj8blm79wTLTNxMTcIj4JLQewojAagAX4yEFmim90fBYDznbX78xyULwnyho+7tHWK+3mwf9ll4eesOt3FdrF1z7XHu/WARcpFel2hTbJxFtkZjy/y2rJrAD027/92y5na3Ln3vve905+614/60no/tPmyRs1nQA+3E0XI5gFN+7yW9CsrHmJkqz0mEt0ZWWUqHl6qNgGrNrqNmfNE6cRSVuiTs/ZovRni4fpkpDJNpxR2sJIzDyVJN28tcjlMbEWGeAUSAsFqCENiE08eym9pk2994Qa8CWYJABFv4p3NVYU2Nb6AotIRekfKxBRq9eRAttdWWiNVWEr0muhoANrlkpG8wEAAB1CA/BooWGgaQAOmGOYa8/ROTHJcxVntqkdTEHIadr2XfP8TATlQZCTggJPxXGoFQQoobXF9Tys5xF9Dh/F92TPUyOamw2lXt9yVdaMO3diq6PGY0KkvS2FwAOdLLpyUU3l6vlc1EFm2HlWAHr44Yd1E5179oS4VT1bReZL5u5/1NWnK3EaWc0gL+7aJBsySTZLQ0CbcgIvxGNy3AtL1wAgMt96dXvv7u+z0lCn1esKCXdLK5pYKePsmmJoTpNmGDdRtBO4mNPdaRtUNbEhpZwXlyftul0Jq4kmrbM/aae6UtKx4rZJ7xtKMtloGGk7XGUDAqqO0QKtpVUgviQszaTQNpaKPRFYHR0osFMDWr0iUWDRSMiV2WCF0alhBdkTnP4vNwPqQwNC8FCTXfNoRIAbS+ywhA7ELN4+zolqswAQWg8aE2YWk5YiaWFtx2eYkYAhAZErOaEbZIYtFoDm4yWcfmQX/umsAETeli8ve9nLXLmMqdHMX/ziF13Fw6997Wv+ps+qZ++p7+h2emzac+bC5LEaAkcBGHD/mJrJPm1/lHKQURzL6XiFDep+UrtFGoDMLpbu8TPPJ6+U4Yw8RQhntDpGT6LYTinJs3VU7wUvFcUhq46FbFOdTKNYls95AnNHE7lGExRzCRd+kJqFaEzSnroHk9ZFCcQCvZeLOVaYstqIqigq47Sl33OckBLkrU6X5OaioPQ5oUSvVB+3UizPekx4/ALUoOY9JJMEAMbcAkTwjBGxDVfE2LCkMiAN2Q0IovWQ3wZI0R3MLm4ieNsVRO28cvymaHf9+hyy+pqt4qCasgQ2x1tJaUgeXvTh0LBXS2YFoPvvv/9sAbC77rrLJY1OrkKYlt753e9+94Kp2zzvH6FXSyHPYHrRFibDkgkaFl6uYc0URUBbeYMF4kIYfR6PbrROaQ6YK0wgV5JUX5G/RVJoLne4yS72Z+r+6MqUJ+2clTLoh8phjMj71qqi9O2yZRJjPc57tKcsoKx0ZZ2LqxpQ5nlUJVZPKiivZyzkAh0picrkfyZXSkgn4qVTK2t0aLJTYxqBS2FSPK5T7RBGRWKEBSatujhlmyuS0swEUhM8laWEBmkhAabgBDsFkCAZmXR98QIdPyy+vMC2VUp7UhG7IWlT7amw9ckUbB2UhpUJunEjsZToa+KJ0JQwsTDFWPML0ATUD7QLzPQ9ixNS7Iz8Mz9OiGO6tA5uSPFB86q32VBBgyuSBtDBM0X1G2GyLZU0jB8R3aR0kizrt6BmOcfVklkBiKJglMigUiHlVAlGnGxuQURv3brV/uzP/my1+r96x9UFn7nrk7ridMVOI6juuHCXQjx5swJ3fsK85rt02z2jAly6YiglWLVNxkyJPdVZYP/R9GHrVNTunnqzF+3MxqswaXJxR/sudoAKswYgm04w6VpkBp3sLbXeYcW+SCNpFKjsqspYbRHricUdKPXIVglm+qyjPZt5visWsXpxSSXioyyphzQn34NGcifFuaRgONOFRQBJMiUYESCpk6ZEWEFMMxdg9L1cOvT5AjgCRHoelButvS9LpJcWqTBYIGF9UmXaEvpeqg+eM2irDVKSyqMqzdFfYMdbC2RmKRxB13WN1mPe0KBHZdiGFfj5aFuBHesKOEL8Yml2+zZmQWny+HoqIub95ENSPR/Ueao8SKjEvph5r31h/G2uABonxIoe/EYswbwUwjphlYnT1lsoJFygAKarJTNcatnusCwONZyR1772tYaZNdUEy2757Pvrcr1EPs8k5Dn5d+KZtsnlcw/d/9b/qQU8D8jtomWVVYc40HVYs7LX0rr73+u9RN6pHntF96fsloY/tTuOhR2xennT3K3TPz+LfbY6zxC2BCDiSsc0ASQuU/ubRbhmASEoArZUPE2pHRfP4umCDoU8a6wR11OqrPMwZLeqGg5JfeB8kGChtY8pyTOhxkLFFlQRsQKZTpQCAbjhZ4qlBUHscrycwFRhAUmFCJwSqKHFICUCsJTQynE26q84b+uTudc7IHBS2ZekAOlQr5BIwFVWkBCYapmh2JCVFqTEB3nWrKGGGxpSn3bHwgJoaVK1YbnT1TlxU57MPhf0Cfj96E80SAKfKKtpVMp87LQb7P/aQ4W77D7veQ70OtUvNKGfHsz2757jWcDH2zet5HARbUgeXBQATRfbNG1fluHDWQGou7vb/Ugcl1o+lMngMVUwy/yldKZ+d0G+b99v3tM/nPHUKHMBd7AUEtB68t640js0cQMsA0NMD1qXHglNoJJUu42X1FrR8Ekr7nvaLtFa6IdOpO3VdV2zHh4NAO0DfmSTJmmFtB/rULMTe5HDBDhhilCknWWKd8m8AwjI/xJLLHIkuz1tEYmMd4rtAA9MrWpN9qC2U2xkViiRAWmvc+js6bMRNRxNK59NqIYXaTgZkkcqYhdpgcNEb5FWAI1YTazwvL5NtHb2CS4HEpnzAXjQ1IhYxkVfou/gaeB1ugWix9Rnf2VTJr0rw6rtiAFiRQz60atYqc4hxUz1peUVU/igYneubEja9qqky8GzPuXhETsF6OjhxmxIA6AbQ0BqFb/XqGpe9wWqLOyN2+Wp++y+4PNcfFBSGxM3RH1stDiCTGeVaVW9c/fYMH7Qnip5+bkfzuMdN5/VklkB6MYbbzzPDT9dR59VbniZQ1nTy1120w2Hc+XO/O20u8z8IeUgIFNFqnrK+1LoocBIrevCJw8sLSQIiJMpTslrVZjRhe9ZhNKkipT2zZypjRPkBylLalKTzAk0DYQJ2SngBEi6NUkwsarVzI5NWVCZbG5k98gC7SMtImXVHiVNiSKGh/JNJX87/xmNhmMPatInRQgT85NKJrTk8Jg1SluqVo2eQXz4KrrVpGMXqcC7xbUh0dysRuE8eBFpEwFHTBOX41a30H0R8GhQHzBzWIiQuB44HUzMB1uz6R4QyHA2VYCpQAfvIG54xqRdbfA8pn0OawwgrTfUK7Vjs0hz9WVa4bfQzcDrPW7ewVuE6MMy4RRXpeWFAnyur4dEbvmhGNDiREgD2vpqSWRD4ulFtbNmAehb3/qWjY3pYpB84xvfMN6zbhdre7W3txuF4Vnh4gMf+MCiBmA97ezd/3mpBD0zdhkydzGRz+c1LMI5qJIbmce+oRnb4rxOQcBFyyQXqixhYbjCigeOWkvsauvxKsXNZOydl7UovUIAQjEt+Ba50LMrSqiEhBIqOzTJtEyVK44O74PJgycIE4vSHLiXt2032yowQXOYTpzbWtoEpSfY54pd2dyt2fKvMN84jvDHejUJxWG79hurzS27w3HOCPiiOu6WioSF5YE764Ubj2tFlXERw+MqpYojP6oVKKI2qHglnus3RmUeBRxp7Ca9Llu8V5TyQDvDo0U6yxUXZYl5NDQAldieIzom58NQndH7gzovFlx5we7sWmI5udVjQum2pzQgXxZnmtTxQhYLDNhRb5f9LKQVLnTuaGY1+ilIGWEskFddkh1v3n/7sexn8/1bluoyHkPh2vnu6rZHU1wtmeHyynaHZZQR7rgvfelL3aqm/koU27Zts+c973m666Tt4x//uL3gBS/I7nQB//WO32HeibtmPUPMgKUWb+/rs5rPoVst0Cnzb+NzdEverbWohuw5Mmt+PvZOuyvwYisLJez3L2+3jSW6davSuoeJgJdIK3NkdAvmDj+sOJp6BQRVqI7N6dZiOzksHkbeIEwnUiHItZqtqBh3bjLVjwpISIXAHLtBlwmahObzjMJ+uLrhxpwGpImOprJLGhicCB5DNBW0EzQprZmqhQoLbdiLmSgbU9cto3IYYUVyl4jwLlKZ1bH4kNVnul15jpjUtWRPkXXKA9cyUmwnBqPWrADMsaQ8XGr/5cIHAhch2AEoYno4JiYoXqACdf6h5qxGt0vbEfiJxypXiSv7/cTW99rIGY3viZutgHXmt99oD0Q+YIH2aiPxGK2M9cmuUF8AoV8clsamvmEuoqktRprG99vT4RsX1ATHXy3JaYhZy4syHNOt015fX3+WqF6tk1iJ43qqkufd/8+zHoq7KY+lFupq26UCIT2mCpP+ZRMP950mrCcXMKBjKg0CuZqQOXBaCahp2VyRkpC19qbsqRMitMVjQPDuknu6vjqq1SR0JYoQ9tIydYilmSRMWjQ7lnEBRLCStgoort6iiaU2ZhPu/FQzBLDQsnDDE7QH+AAIaEVojgAR7ne3dpfaRytB+AzXfKk2Dii3qlUlMeLS3CprpNWUpm10JG5HlRNxumPU+sQWZxJ9Mic926t+7Wgqsh0bdD4qsZpOaqUMxSp1jYqsVp8wvdDYqEZAEinvX3+5NKTq7HHn+guowvVBUnNeXUNBS9S92zbtfreLDWIl1z/TD/Rn0zR0x5FpPlzER03jT9rTJTfOuwXGn9U6VktyAiCKdqPt/PEf/7H9y7/8i8ViMbfA4G233eZig/7gD/5gtfq/MsfFc4PLnSTPGQRugxylVRdpRIFiIQMPycDAiB2XXdPfPyhCeMjdaQuKokoqrrFNtYXifxTlPBFsaAJZR3BrP5JQnU2iiTuqrPuTw3oM6ErVeZJsSY0eSmbMlQZBOALZ6qxDDmiRW3X9jixPBMeCiQTQAGLkWMGVEN3MpAB0AAXMRD4nTQKPHIBE0iqgdW9zSJO/VJpdqRWry+XibIrDGWsqidvm8rjYl1FVLtENtKdfaR7ZEhnlUnnKSqN2prfY7m0rlhkXVSJrgT13W/bc3MDN8MeZd+o3RfTbEwyPAABAAElEQVRZS4xcMLgndc+R2Gg2AOvZqPMZ2lnqjzeNPb6gJlfT/KLDOQEQG7JI4Otf/3oj8ZSM+La2NscPvfOd77Tf+73fY5MLVrwnv2Ve59Oznh+eDSbbWpGkMPPhk0zwEt3tSxR53CgNI2Vbo4NWo5oegYRu20poouaxRcoEWrrtV5ZpJmnHiZSMtMyctlatb97XoSVvBB6lIXnPtWSyzLfN0tuLAqg+ssFmELilu45JuxDI4G2CzCVxFM0B4EFzgIeBtOa5ojRr0gE+KH2+YJrh3WI/7tjECZEF3y1NjCwgvG6XCgwBKrapLFbtZ9V99rwSZ3b2ABBRz6oqx6xWJHeHcjLuPxG3Pp1XfWnGXqp9a0vUcJ/Wqdf5wZm5Mq1waBMC2NEP8sQAH8hsAj2JUwIc+e1Jps0p6txvdAmfSzL9Vp08ZT0FGuR5yGqaX3QzZwAiA57seB5PPPGEKxx/zTXXaDG2S+Zxuutw086Ds0Y7c0bcwZc06nmBw+SbSSSAPq4JSiQvq3ASsctzIYXJTC/cQ09UbxwTcurh+Zn8ENZF5aq6GBM52yiPs9bVqk7YDmkTw6qMEFAC66ZIj0W03JAnADAADO8U+zmyW5NYnqrjUqbuPCJzTZMVbYUcKbglEjtbdUj6BhGM1wztx89EV4tnhUkPX8SkJ7SBJFDMPyY7++zbpCx54SYamc+9wWFBnPv1fQAyeKW68oA8blG7uyWqHK8q9Vd92idOpm7MoloSGu0WwtsbESpmdG7qRdoLOe1oQMGTkN39MuEoBhdTTgjZ+5DvePHQ2LbpPBjjZ6K8z57Gir3YMvbovAEILXM1ZVYAIhWDwENKbdx+++1nY4J80EEL4gEPdOmll67meSzPsTVBM3f+n6xWMMMRuFBJWuR5WaX5Hut5+IfWduSgMrIz1l54kW3fucUuSh+w+JE7LSmep19ekAev/Scbil7k7sZoG5g8M8pEJT9T7JCLIBYQDYnraxF6dA22i5gO2aVST2qrYsoR03ruJTHbrjbRQtjeExg5s1ST1yMtREsnoxkc7AgqjaLYRsQlbZEtslELA4YDRTLBBAICEYX52LW6UVfOcPE7V72aozwrOVdkoANYaBzEIZHBDk+jee+AB7CBy2EyYRKheeG5QjOifjQepsfPZDUu+gd4QEhnPWHa0XioYUQ/5LA26lMjI6MqRq/az6mxPh2r0zYKtMqj4nkUPDkgLmlUoFSqFVjrdEKNMQVITNLaiNuKP/ljO/7AnQpozNjPQ6+3p6PPd+Nz2UaBpwA5J5nU5lzbbx172B4pe91cm53z/ZrWgH7nd37H9u3b5yKgX/e6151XjN4/kws1Dsi75zPS97v905z2GdPLJ0un3WApPjzyUxu65yvWfqLFSlOdVqqk0crRMxZ7rEd5TFoNVKkKhbr6yxTx96K732w9b/q2XbJ3W045YH73El6BnRyptuaBaksqinnzphHbUjKgOJxBO6PAINEq1lRfYpG47AxpSM5MoR4RDwkT+1Bbyh4/OaqAv1ErCYzartiA7Yh1qXi7NpDrvFORz/Va1qZJoFSEqcNigJNmLRocmgycEfWAAJ4SgEUgQs7VVmkYaD4I/BHxSoALk4hnTDo0EEw6/85O4OHBdv2M2h6Qokj9ZoGX3062tSyfhInFI5VRxUiFc6ciWnVE+8Bz1SgPrUiaUnt3tiB9OjFkNYFuq9Nxy0aFEkR069wYFzTAtNzxJ+/+mbUWXireKm3XjP2THQ971l/9AlcJkkUMcxKNSa5CQGJE9YHG51EfaKW5qqnnMqsG9Oijj+r6yEJwZ6d05xlkfS+fPP1JeU//h3mn7p/+y4lPuagBoGUVeaq8J79jh4ZrrTL9tA0ruZHQ4k0Kvx8Rx1HmJWy0ABDwNEHGVJxKZVYf+4IV7PtITt1C28B8JCIX7YSKgDs3BTSBs4v6He3eaAGZYNtLBq0gNZBd6XWwzZV0HQuXq+JfzE6MlNqBjrC8VyR9lltDU7ntrBNJra6WKau9s1flPTSzy5TdvrFEwZTkTIlMxtmOdyopLql9rNjuOxO1o/1RmT4Bp51gOlKIjChlPwiS+ejX7KHvmFuABoGPaEeAEVcsnjTMUEwkNCfaAZQwk+CKEPgiSnTg3cPcA7ycKagGcIvjnkeLYpJ2KTL6xLC0QPFlJOJTsqOpMu1AydVUoraSYrNstFfa4ID1Pf4zaw5f4oI7xwS0w8Gt9sr0t+2fki9wgAZguo66nizNH+qFb4s/bAdLbsy5QUIDVlNmBaCPfexjdvHFF9uLX/ziC2KxwFwH2tV2fvhLs27OBcRdeh43qFnbm+lL2g8oEpoo5TTEhaJrWY6Fq1efut2C+gzyOCQwEgxpiZhm804/KPWhxgIRqQPuzhx1+7gdJv5gqhzRfaVNkxXid58mPDE4TER4FrQH7j876gs1aWs0YWukeXg2PKhUg8EBBf0OqsZPr4BLPJHqA22sLLdQtNy59OF2iC1q7lUNn/Eyq1MUIJqJE/U3o8BC1tw6rdDrQ2eGBFLdbvurqgK2s1FaUl3Ukd3OE6egQwwuQIIx9wM9ieCGf9kigPI1GiKZnzwj7kiaFCkYRDsXa5IBJBDGCKBEG0RRI1RpBGzQZDH1MDEbNQ6EKBAnROgBz5h1aGnlAqTsCqggmdJjlCJzViDx+09ZqqjG0vGgi6zG5Z9SjlqhNCheO5JdOwCUSy074vfND4AY2lWUWQEIwvkv/uIvnBZ03XXX2ctf/nL3gHy+ELUe9zsouM+7/WMu1WG234WJADG63BIQyZtputq2dv7E2qUpRGRyFarA+bjjLTQh6IAqtocFSikF7kVUmiJRXmXpAz+UdiFyuEiL7cUaNcOECHi69Nm4nNOnFIB4QtoGaR5kwEPe+i51JhsxO4APbmW/FClmFtOmIFRmw2HF42j+hSpUrrVA2lFiwNLj7VababUmmXPpgXIlpsZkzpWq7ZAzf9g7S9iHVKKiVABX6qKVmZCXX5a2Kxq11lZE6OC4pREBaQ+7uI70JkRsq7+QwRXKnqwQCtSWaxXdiTs4GgsENw9HCut8AEDAlCBJyrriSSMAEc0HV74w0WlWgBHaH+dPxr0PZpDfaFtoRWhNgDJABpBOshyzfdRfNLLukaA4sE36PbZZ4egxGy7c4r7f4J3W0jw7XduQ13gFAbOlls1jT1hhJi6LNzdk8cdvqfuRa3uzAtC3v/1tY0UMMuIhoVnH/SMf+YgjpomM9gFp8+bNuR5vjW+n6OG7PjEn74PJsiwBh8dvs/SXX+euTOq7ZP71DbrSlVP02n+wmqYt1q/ldgo6nrQxERPHIjfYzsLTMrnqLaJUjJRKP4wXVNrQc37bdrzw1ZYZaNFsU6lYEcNey5NqRvqS+AkSJFvHymUSVFqTJvImzcIyZaKblh72FA8zopifAyKRAZtq3ekBWheXIy0BQptJBqdCPA5erTqpDz0jtTZYUGubmjJKbM1qRx1tQ1oJokcZ8yqCr8Sv3kF51QRKx/qL3L649TFtXrwrW8yrtAhtQrPbPSYuE2kTYyKCD56OW6fsrNJg3HaX9Vm1uBRV2BDbLG1PZHBbvNj2q+7QcLrYmgR2aC4AHVHaaDZoQ76JBbhwXGVLuKRUQAUAxIvlr7bBZ/BLaFPUdVZhR2eSTQaniR66dtGkKGB/sCNrzoYVG7D5yvfZpaG/VE3tVlUgCdnD41fatyLvtKjawhy8SI+Hmv1WZnmeJ0iFtSDQtrEH7VDxi2Zp9JmvSLtZTZkVgOgYK2K86lWvcg/ej+qCuPfee40CZf/2b/9mrBdGLNBnP/tZvl7X4infymt5bNZzIJiOO+myCOo7hba2XKfifiIs9N479gsdSubWq2+ynQOt1tWnfChN/otVxKWxqd6Ccp+PtByy0YF+K6qosfptl2tG1VhItYIQagmZymAMtDZbZ2ubjQ/2K6O717aUnbJSZWyHFMQ3LoAYVYGugWTETg2qMqLMto01UYsFS3SziVqxPD1JuaSJZsYsw0S5simrVZyUkkIcDBN4U6WI5qFy60qXO8daVWTMTomMaT45YP19WtMs0KK13AtFKstMk220uaHUqkqlmkwjaCnHu9AmSqWlldqu7TqGtJMi2HAXp5Q14Q4di1v/cL9VFXl2eaVuDMMRmYjFyl1VCKLc5yMKEQDc0HaYbJRcxWuJKcTdH1MKAPIFPgkiHA0HgOU9AIyWiNZEv+D+uAFhwrIt4APAAW7PVz8J0CwuKDPvio9abY/GXgXZthU32OvFbY3r561RXwDxf7zdP+osz+rHfGX36F05ARDn5Wu98z3GUm0/JwBNPhArZKAJ3XPPPQ6EHnzwQdu2bZtddtllkzdbl6+90w+J7P3WrH3nzrgSvE+g8XILCERcyQcHQNluBWIbrC4mrWNyL2t2WKkeJarpHBhW/IoIYtOzW65HbVCw7Nj4DjtpWslkY8J27xm0+kCbpXpbrH+gxxICrpQCepLhUlUyLLIGMbZbq/pl5inrfkjIMlJkXeMROybtZTigddAVVHPRhmLrVkzMsW5FXasv3NExSxgbTBwubIDqF31FmqxFyoFS8OpFGSvTIn0lmQGrCisYMtJtoQEdY0wcChUe8awp8A9ggJPyPVdoXQQZoslkRW5waXtPd5Y4M5Hskb07pC8qhudQR1y8y6jalhdurN/KZaCWYSZKc+yTpnRMWl5SqSalCguoqw6fM/kAFiLZ4YcAEkhtCqVRrItVaQEbvgd8SGwFmHhgAwNiF+lHgeD2yXL6GlA0eUltU7budbbzZ/9yfsslm8Yf12oZA9KONa6ziF8FYZZNlv2rOQFo//79dssttzjz68477zTqRP/SL/2SvelNb3I1gghQXPeCV+euTzrTZ6ZzwfSAF+FCXYviMt8rNltABctMQYKp/nbrONNhR0Zr5Tmrk9YRtnrV1oFIPpIQYlTvVU36IStXMmd0uNUG+vutQYXD6srHRXJLNZAWNJaJSAtJq3hX3GKhfttTHbByjUPn0YgijJXOoG02N0hLktn25Ilia1YC6FBSpLMmK5wJ8TbP35adzEMqOB+Vt25jhdZaB0zQYgiA5DHYovo/Z6xXQNeakAaV0DalJUqPCDrOZfJ48xscEMbyO/iJs4c7AgI+cUKlxfLgVbs6QFGZaUmlYPQqMKh/UEih48VC7SpIlrFCgYj1yNVO+ru8cCMy3U6LE8vIg0g+GpwQWhKaHoDSrGPidOCYaD6AkCPnNYxEPvtriU3u52q+ximxa/Qee6L0VbN2A41utWVWALrhhhucqXXllVe6ZZk/9KEPuZywyWuCrfYJLPr4Ko7l3f6/dYFyO5tZXMKkNKC1Lp6I6K7QJjsw2mADXR1Wlu5SXlSXFRRKG4rXWYlue2gV5SrsXhCKaTLF5KnaYZGKYWsq7beQzLXkUJd1tHQpYjlsaQUrbm2osIa6EleOt6UnYS3iBUuD4wKsFhs87dn9upsPjMtTFo2obk65XSVQ2lKvMhnSNtpdwJ5Km2pi4wY/S94y+fWIR+oV9KhVNJTZPjw0oBIcArpol21QwF84UarZruRaub57xiL2xBmBAxqK8HG7tA60ElZXhet5noCOgmJoZGhRrYMBkedSj0S4V9VXuyL4BayCyO/tTLhR54nrbu1QcfmMAiXVHS0N9NRp8WAiumvkz68QoHnyPOJsgFPieAArwDcdH7SWro1LRm6bE4AIT1htmRWAhoaGXKXDXbt2uUx4akRfUOCj0Wc1U69PV/Esgp2/HKTzLIec9qunWrTe1qF7rbHnDpVxCNn94V9SJrlnl4zdZZfUjFui6Xn2cPhFiiAOymVcYJul/m9QdmaV16mCZd1WHOyWWVBtgWi9bu0FjmQleI874bb6UplOWt882GRPDycsXjCgwMM221HUKXX+tNSejLWMldipVL2lizdbh+pS39spM2RgVEXERm3f5kHxSmNWFWlVqVjPuk94KuwlvkeRhFVVpRYeF5hoYrO8D564EdVZxssEp5bOhGQuqK5RXYVL22A1DF87Gus+bcd0nJNDqpBYWK41xGJWUlYiIlskvTQSoooBA7xdeO9oE9MIzQUOhwffZQWUIW1EWfEjVXZY5z4kcCktHZN3UZqSzqVMWuD24i7V71GWvTStEWl01B4KR0tUNUBalqKeyyeTRn7TE8/DZw5b213/rgTVlJU951dt48WX2pBCDB659yF51NJWsOk59srnSktdZqlNHrOqxKlZS7WueQ3ovvvucxoQJhjrwrNQISkXr3jFK4y6QNdff70zyZZ5LJetee/QLXPW98HbsxbyvL7ygGe19/yVXTHwPU28tPUpFeIK75N2sdzxuOT7VTY0UvhvShZ+mXkvusn2bihwVfwKVElR/itNfoEOHjEXBNgtcrbaTibqtcaWOB/d0dEaiEAmw7tUUXZXXlyrdI5aefhVc1HayWHZPke72i01dNpCqaM2qpCAWGm1XaWchr07NlpRyS5LjavUqlSUAU3kovIxaygQ4a3payPt8saliRawUYFSn0ohjgakUUmzKRGJQ856qSoubFIN1+ykKFbtH3njhhvs8Q7VbR4eso1RlYMp6RUUKN1D65RFtW9tTcwqlUAL0JEzhoYC2OAqxyyCi/IF8wmw40aCecVvCgGLCZWWyTmglTli9ZUiyaVlaSwSWoghE1DPoqPWFBpReVkBeEAIp+N40gwB0bP5b2hz4q+Gjz5gY199u7gu1YnWv9Chr9nB6/7CuvffJ/JbxdLUocihb9hfHfxTe8FzL/G7tmzPe0f/0+4s/G8ztj9TsbkZd1iGL2bVgApVFu7FCkLk8dGPftRaWlpcFUTc8aRfsFrGjTfeaO94xzvsDW94wzJ0b/ma9FhS56F/nfUAhPtT52W15diQcrGO3283jt3pJlV3oEFmxLD4GFXCszHrC+9S4a5SxeD02U572i7zfqzs9pdoZqnnPHwR2UvQ3EivTKzTrVZRcEaAVWln2urs6a6I82ZdLDBiUmJqpHX+5Fn97FCBqgo2WlGwwbbUiScK9dm+cIdtK2lTqsZxCxzXyhGifLus3sYjNVYj1rYmJk3LE3uMyZMYs6FhLXg4MGaZ0UHB5ajVyxM3qtrKuMMbVUejQqAUlLmWUWrHSXmxHmkrFhdUpHYidu2uQpHctUr+rFWax4g8YUPWGBm0jHgupSLK/R61YLRM692Xu/igoNQfFm3l95My557xUuFE6BcAAVJXSgmhABuePbyaAF+ZlDOVcKZstWmhDCtTnaTaUjirLJnriehnSSJLScUSv+SNCMko+ubEs9F/e7+iuktktgoBFb8VThVbwz1/bvvDb1L52RoXi5SSFnd1+xft9oN/pb1kSy6j7B65w+6O/aaAdPppvuY1oKljQxkOtCDywu6RJ4wSHd///vetpKRkfQGQXN0eSabSImYS1Hl/sbqZtlmpzwdlrmwMdjiSdFyBfSlFI8sgEbaE9C9jBZo1BcrSpghXSB4wO3iLLjrNMpHEgQjEi15PCLEtVDQsFsNa6vXZYak9w0pu3VReZltF4BarENmomnAVDzU5jwuAxzTvrhQw7RWesCoomsOGmFz4nrxWo8PWq2rvKRXFL/OetiaVvQj2SiPQyhBpBT4OqhQIGg+BgkQmV9SqPIiqMvYMFolTGlM5DJk/Cp5M9vbYwOC4nRTHNJxQtrlWP32BViGsDqm+spYB6m6XRy1dJDK9yKJisbtlasXFOxVmRqxBgFgyNmKp0zJRlZQbFwjEFaEMBxUMhx3pXajjw+NolR2Lqf9gxwOHs8TyZuGLKCdTpkk2t0z9hK+KAN76TIrbeYJTIiNNB80qjbakZNyMlq4al4fOUxljgkDTGp9SARTNJFX32q2eEVJYQ2DYmXvLDUBR1dXeoZigI9Hnndd/PoBkX23JqQtHjhxxwYgEJBL/c+jQISP4kGDEr371q/aSl+huu44k8/BXdGG1zNhjLiq8LcS3rAWJabmY3nCTu5MVCWwKtRppMlmoWiq6tGXXsDRMRqH+GGMhirbL/U5OErWrPZlgaD1eUYWNBKusJVFpBQpE6VbczyMCl2hjxi6r6LYq6S9dgyl7QBP9xHid1obXMXTyJbLcnr9ZJo1u6pgwck45QpkoXlaX0DBZeKuMvPK0pryiyGXiZQY7XOLyUG+nQEDrgcWqLNZQrzSNSgVBltiQgiIrxNtgJqGlNKudoypU3SVtrkLR0FdIy9pWRqkQBTXGx6Q5CTWlY8UUVzQ+rKx6hQaESiqtWgRPuLBR3xRZqzxoGTkSQkmVgFdCZrmCFou1tE5YJmarUkEGFL1N5zVM8gzKzNLJlenctkkLYgWQYZ2PvPNWrwemGyZpXA9WscADxntA1H8NACEB9dkLjMm0HBQXVqXjj1haIQ1oRiGFBihxxqXIsEAAqRyFimSnVG5EnNJKyCXDP50RgNa8BvS+973PvvnNbxqJqFVVVc4UowA9wAMhvR6FPC87+OMZu851hccLDWityPbSAdtw6RvsyduvseenbraazLBI25C8NWWObC1J9co8ksOgRFHTm65WePGf6rKXUCIjDhBpCRzF+/T0tVlAqNovYnVMwX0X11YICKrs+HCV/aS/UZNbMToirHeXnLJkYYWNRhpse4O4Dk0cYZNtlGlGbR14FDgXJqSacJwLpG8yLW+VbVBxfI1iZMQq6nttQ6Zdbm+ZWy37rVMaS0YmSG11g1ZTrbGj4+XWPlLgoo4j0lau2ptNYCUGhwne3p9y69QHxMMUpkel8QzJMyYTThPexEUN6NQ8dS4UKVKJD2kWMXE4Ul2ChZukbWjlUxWTPtEyqMDNYYsEB1RoXp8FymxIZWuD4pDigvBDaIPyBuFZ6xfO8ZgsgBGPAgF9gTQ2+e2016hqPscFMKNOewRE8aBlrv9DK/vFB0XCa9FKaZ1sc+jqv7OGI7fLeydbMS0OKD1sd2z6oL3mioh978DkIy3P600q1VquCgqD4brzDrDmNaCM3AysjArg4Ipf9/lfTIwHvqAfApiZXuB8uKDWmvzac4J2YMNf2uFDr7QNvXc6L9hDBfJ4SQW5JH6P7VZMT9FG3RSq9eg6JNe17sLK/yJ4sV/lIg4JINrTceVsKWpY/Ess06uVS7vt2JFTuotnBDoh2yCVJCZi94QikEeGz9jmwi5L9SkgUrFFO+qKHXcCOANAuL4JQOQihlvxvU+MW1VJwGrlVSuQuZjObLYzPcqGzwzK1S1vXKLD4mcO6nNPSarSSBSjdEltvV2ypdzKyPKUwNc0C1y6h6XjCWRDaC/iZAg6LAqmpbHILxUctai0iSKl1QeVh5ZR3Z5Eh4CuTVyMCsSfltesSwXIUpEKq1TskSqYiGhO2MDwiFJE+lywId60qspyFYRUEq0ahxuC+woH5JZXUfmwACRIeIbc9q720cR1k1Gow4A0xC4R+2OUFZG7PqzEs/HqS22s7mrzHvmqTNWUlV/1Grtuz+UC9l+xB+98QKZvxjKb9tmfXN1oj552p7rsf1i2ee/Iz+ze2FvPO9ZqR0HTIV0+M8tnPvOZmb9ch994px8wpwHN0Hc8XjzWqrjlfBufq+7x0LIxEw+VeHfv3R/SOaT5uMp+fc3W1x62Bztl+iSrdZfOuqBPjUnbEWgoc8P27Bm3PRX9qjPUq+WJe+3EqX5LazJvVP2bkGrflMrkq1Jy1WDPBusu3GmZ8o1K7oy4fCqAAo+SuGWncdUK86jd47u9KXXBEstEIcekoVRXygwL7bHunkHr7eoWF9NhV5Wdtko7KpVKcUM9VfJxNdijPZXWJrc9Nzy0E6KR8XxjwiRU8zosEyclDW5IYOGkQIs2arWM+Khc6cqwH9DimaXpfttdHbcNJbqjyG5q7tGqGYr03qVzqZcaV6GqhuGAGHaFJ9iQUl4GdVOSVhmQOatOqlkdTOJRlhUvV3mjCyHoVXpH54gqJWr8WN9Lio87X6oyku5RsaHJgnv/xO3r/4mIyL7+VS/z3674856R/7T7Y2/RbcYfsGwXGNvVllkBKJfO/eZv/qY1NTW54vS5bL+a23hPfXfGw5N8uRY8XjN2MNcvIJxF/lLj+ciZuN17pEfA0icTpMvSyi8LynW+TbUm9jQG3bI4AdMEk/eqf7TeHtRcTTXIpCoVEZzstxqRu9Fkj9aAO23BzgPyfj0mGkXkaukGaws12FBAmfYlVYrNqbAq2TDO+6R5TDoGZT5I6MScIk+MKoiUU338jNIl01W2paFKwX47rV8L+bUNSnORi7+9o0/eshbRJQXS8GJWWl1vZeKzSqWhRERYkJUOuPmaivDJlc8YGg8qTaRE5HWJAFJ5cptMRfPFjYmDOdU5ZsfbpCmVjNju0i6rCSvYcvSkeXjk5IwIoBULSKg6AJemgB+Nnxop0UAIdALRChcxTUWA08IqQBUeKIbio6HjvKhBxHmuVaFe9LbRB+1Y8XXndPGCACDAh5Ksa11csCH8zzTCBYVpMbNhNs1Oa/gjwJRF7u4+hiemyXZUb9SEVoRxWbdtLz2lUhBndLcXeCTk2lIdH7Q+FhiEfGfJ4IiCDOtr6hSoWGdKr7LiS8T/CJRSfaet8/QRS3R36V562KoUSls0FrZMl5YyVixNv3SZzlSFnUlU2Vio0kUTb1CpUjxW956QaStNqVbto8nBK7UrWnk0USaNokxBjlustDJul+0csEtKOy2W7pT5c1A5XhroUZlqgVoLwhorZ4y4IZeLpX77jgLq+MBPUc+IrHaC/k51ppWYmlTfk3ZxVVolMkT8pgUy4n+QgCjigJa39uSz96itpAvB86TWxdXhkYNOWx5SeEOrqkB2e6qHVFqvuKMKEfJBBzoA0HqRy0Z+ch4ArXYpDsZu0bh900035fQbQGQ/8sgjxmKH27Ztm3EfPGwnT560q666SvEkunUulcj8mkm4U69EbZ+Zjj/X56lM0J5WrYfi7keVPR62h9JXiwwdtT3DP7PkqcesoLLOMpufp6jXHfbIYJOAR14e3am312lBvovlPm8UJ1OqmSmAkA9fJSyEtvKSYaZ1j0ftsZ5qS6iUR1VZ2KUkiL91dXUA5irNWSb3PScLFRW8Q96nHTKz+qxChdtHVTMbl/lwUstGK2goONovPuaI7S1ICvAUijcasdM9MeWHVcoUqrSNSmcvLpaLXK5yvEq0T94YYMRSPVduiqp6oVQKmWF+jWo8eRnVp870nrbhlmNy6ytwsbDSPGkoVRWV2SRa1cuoDsVV+lWkcOeoXPwKhhxJOtf67uqggFBtKjvdCgRgBBBKy/ErfTL2ASoQkJ5BVUO8WMN9quA4bO3irhLKBii2Druo+KCVaTno4rSSZwXMgXG1VaoBZvkjebgQzomYIjS1Bmu1npbTdiZeamOlW21HtMeqks32dHyjjZXtcNu6nVboT9P4U1aRalfdcI3thKgay6rLrAD02GOPufIbc/USoCBdYyb54Q9/aDfffLO98IUvdKurvvWtb7VXv/rV523OCqskv7IA4qc//Wn71Kc+5dz95224kA9mWFaHOykmw1oVtIov3hawXx1+mYhjpVKI47lKNGowkLSY4jyCmBASvEGj4YttIPzrVrjnj+zd14fs+ouyZ8XEwIXOc1IJpqnMBksVNFpb76Adk10RSrTIxd1iIyMV1q+AuTGlZLAeFyQl4MwheE/WNxftmABlaEyTf6TfomMdqo2sVUoViJgs2S3Ct8Tqiobt6Ik+az7TK3din20In1BawEELNWuuKpk5GFSiqwBvOFmlAMNK29pYphQMefAERGdF4QOezMghpY70Bi6y0ZDWXA+LPI6fsg3pMxbuecr6FPdD7eYqFcvHVOpSH1IKAhwNV1qZMvabapU2obihOYVFGPWIK3tcJa3tmEzFhGLEqurjtn33qCK6RywskzQzrPFXgXqv64h5bU/oZPQ7SIP0Smq1EMBm++z+ra5m057Ob9qVnV+2WLJdoKVMfXne4l6/nRF5XeWN2g+i77AvR/5oRVVuyOhLh39id1W87exwYDqutswKQPA7AMJcMltRepZ1vvXWW+3DH/6wbd261a0rD7BMBaDm5mYj2x63P+Tj17/+dRdj9MEPfnCuw+f0vTdN3A8mB+7ktSZuCegCBe95QftI4Cb708EPK+J5yHq9CjE2CavRHTlbTk8zlkkrgOAC26AUiReHfijW9xKRrK9xa29NPTdcynAomD+H+2K6i6suT0VSSas9Kukhd37giBUpqXQsLK0oUiXQyaZ0cBjAGnMNzQVwamS9nYAmfteAeJUOq00cs65TxfbzgQalM2y1DXVb3eoPlcXyKqVGLC6/+aj4qNSIJvHgKdtecEQ8k2cRLWdsXUo6FYiYOKXxcJVSTUqVJJrSKqfyeGnSNmg9r7KyUQuXqWyI6jN3DCjQUcAQUVXqpEpwhMi9KkmrppHWZNc2mxoiirWZG3y4BuB1TgloKbdBfhmlRS7aVqA4JfVLoOZLiNK36g+Jy245o6E2qXBK3u1vs7+7c5PCEk7adXaHbW//nkVSPdKBaq0u0GV7048rnlEVIrVOfFE4Zm+O///2ZGafnQy8zIUb+O1P+5y9v0z71Xw/3DN6m90X+y8i8Avd77fmvWAUHsMVP5fMlqCKqvvJT37SNZFUpCjBjADRVDl+/LhbgcN39WOC/ehHPzpnswMHDth73vMe99mYok0plpaziOycKqjLXICrJV96pNi+9mTW7Qww/P7NZp+mMxPaWpdyuLYHmmUnKzFSXh/cLpRjdXCj1wGSqxDQQcJ2xarts63vP6316G4FByac5wjAwbGjp//H3puAyXVW57pr19jV3dXV86zu1mzZkgdsY2xjPGDHgE0gzIQAD4EHAhkgyeXADUlIgAOBhJOQw+EmkHMSLoSQXCYHEzCTiW3A82xrllpSz1N1d1V1VXV1177v95dKakktqSV1S3Ie/3pKVV21a9e/d9W/9lrf+ta3nJeh4toDRGEVvE/qgdg0MBvu+DvEdxQYocTD3+rE3DN4QxRtwBtSNbznslFiNCsD9CyegrxHfbxu40k+LztkjZGn7bLGKIRAvKnBuO3B+xILWVyheeRafb8ZYLnJYhUoHcLrCSAFEsjuJdxJoudDKyR4NAEdCx1cQwiLeZAoZ/CGJgm9RsmOJdWfiwUtIl0sNGd1Ud6DNzY71o+x2g4GNGdj4F8+nKP5inrHPZIaJEgzsyzZbs1HdAsJlKU4flXDK9xs4ScFhcmm9nJzW5/oP9iUgVrwr6JNeQ1IfUxZ9eizWLE8ATInlotvxGduB7NP4hDloBXMBBN2k91ld2CAvvFo6TvRuVl0HO/5RTc+8ZMVEDTXI9OhFs5NRKTnwzihBxSPL98sJe36lre8xbV0/tKXvnTMsQ8ODrqWz+UXZFzGx1klC0Ztba3dfvvt7pm9e/e6BokLXj6lh0ohn+uUe4pWNZrDJZ2lqVdxBeaXe2jQwdxyou7iEcrD0SDhzP8yPlhOPVX+gfLYF1kOwl4gP2U9+UespWKVzVc1s7qwGNQDaXMxvPfwmdSSlrgwOAnYHlLbJQNVFa2zaLCTTqiQAFEajBBCNQanXFFmGLwjHawFN4q4jKE8oRoWbQ7HQF5EVWOdbWhdRZ1W2vJTo5ZGtH6WxVjBHGpqETSDn+NzQWuu4OIRhkHMdwCvGzVGhWQoCNZ1WZTsVXWoQFsfXgRX8uDjeOBWudyoJccnyFxVWUM8YbHqWovD76mI16FN1CTdNKvvLGL8OLg8Bm1G4ZI6wB7gKoPRqwCLiRIq4UVOQJhMA0ZTH8vc8HaARbQgYydcDZyk44xJMmg5OE8ZAPKZqi7KMrbDIQLY5uKrOixfYRhnv4hHqxHktVmoBCI/vmSd2Xe5CN2+mRAXe+aoFsf5nOV4WmC0DJC8vPNhnNIpz2azzijMkTnQmKcp9hSN7MbGxpw+9IkOSAZFdWP33HOPk3G94447LAY3pDyCXKK1v/LQZyx8Xc+3t7e7/vR6fNddd9kp8ZSU+aAwsjxUZHmuh2yH+CP6EWpEevkPI5RZ+0oiowTFpUWrfmIGV32NbfCfxvgoVyPfAGNx0ANyNoj/+K0TskXh0bTZAba/ecf/sGIvBDykWf3WTea1XGLb8qtszzhtmOEDCZiNUfUuN1z4jiqjxbMBu6XXGNhqLee7p8uxgHMwibOTpPMxSFNwjGbANHpakH0lfOub4E1s/4LVcIpYyMrAKd2ei27AIE1ZB8DrXGaQ30k/+FEcDg5CYMxfmNQUYVahosnCiDS3QkKsR4ow5PrisMHBIQ91e1/OBoaQnK1GSrZiwhpgNcc8tJazffz2AvCJqsj01VkV9R2iBViMyQjXQY62MDNl6bERyyTHCZUAtGlJXcXir6puQrysyRobaniMFTqNobo6idbj0LAv2k0TkT3T+Hprm3rM4nPb3HdVwOPjcuG+nzwBYwuSKEW+u38M/La99AK83htLBujXryjadfPf58RwOpUoIGPrb/0eX077aczs+G9pIUnQMruLlkIHf3TH3/SsvLJkA/TVr37Vfuu3fgugkivMUUOa0BKoX2zMzs667Je6aigck8iZAGZhS1dcccWhtzQ1NR3h0UxMTFhbG/naZRpiBPuZUbc3MXcl3XC+DvFsvLpGfonz9m7/0/bF1d+zfN//YxsLj9isH7PvBV9hHcU9dsn8g4RdWAzIeWkA1G21t1im4yX2G4n9ZLq2gE8Mg61sBTTdalOP3YU3QWlFVQ+uQjdV7O3UaGFlsDRFDEEWudUQIU9VRYVjA4uoqMUlYyFGczDBFT7caZVVSQzjuI2O77WJgRDSpnW2kf7IKN1Q9kDbGfrJVwNKt9PdIop/M4RnlCfTVhNOobkzbiPjNZZCT6gY74BLE6QSvkQyPPq7EPDdz+c/2c/7KWbtaW+19U2tjnujbacocx+ENxSJJa0DoxQGJPaH+vE26KPGgs+Sck+FagGxCcEoKSnUr6FEAm+sgAGDjV0X3G/R6d1YSqQ/wJ6ckiShnlfBhWpB8e7R89LfMjzqByfJ1lkMpAp0X3YhXiT3O4ZW2/d6PmW3jdNIYOpRG57rse+GftNeFvqBdSNJu6ew3r5c9wm7fUuT/fb1JRlb7VOZuOL/+zo9LI0nv2FFbnbpm8vPLNv9xenvW3fd7y7b/s5kR0s2QB/84Aftda97nb31rW91le8/+tGPXJ/4T33qU6bb8YbwIQnWC9t54Qtf6ApZFVp1d3e7twh8bm1tNbX6+dznPmcHDhxwhue73/2u2/54+z3l5xvXI5P3hHubUtRaWM+FIdf9t7bstcA7/+3QdF996NHhBywbu1Krlo6dxTEW1sQ+Fhd6zwC+A/vJcA3vwwCMWBfdPEO0c/bSCXgtZMOQz/DxBmJ4EUUYv2oSOMtCjCIc31ZViXegVjio8KRox4O7lppvpHYsQfgwYZc2DFg486RNP5YFk6G6Ho+oFsGwStQRUoQ5uyE3ZhG0jyFwP0IKW+BtTWHQ2r1xpw8dUFqcAs5S8Fc6FqIVF5ZKM1maPQqNJOuqThblIe91JBWxGpjVq2phV5ciG8sSV08lJy09QWU6NXCV1MBVk3qeLwBmY5QiMRjQdYRt3CzUVPpYsCPcO4iJAyWvCTkQpde9SuYlnWp5UgeHvDsJ0FNe5mRExANS1bywanXGuLwL/WqumZ7XAyb0t+7tF7Gba5yj/wG3F47Yrj64v8XuvHU3AURhzRi+DNAKjPUzP7c18bexZ471HI8lGSCFWUNDQ/aJT3zCsZ7lrQiP+d3f/V2nCfTJT37S1MRwsSGv5wMf+IAzQl/84hedgJkyYtqHhkBlcYkuueQSe/e73+20hVT4KgOldP1yDa/t4kNfqLI5/yWH4jAkOAIdl5nPjzg31ms/vX/AevMXWVPrjF0Y3YcH0MuCozMpfJdwchecFbyGFKu8klAoXm+RmgaroFbMo53wfJouF3sDlG0ELABmkqQCH7qwXUz3i2qUDqeR1SiE11pN65w1g+lEAhRh4gbsR2qjN19vBbpqCNiVsVeZRj0GLRxciyHC/UT61adtkO49CIbFWIONzwRcVrLMoFZve6X+dVgaIh3uHy8tdpU9CDAWtWCC/IK+0xx8pFCgyRJUzSqcRN2D3ydwNSUXjQEM0vyEMzY2PgpvSZ4joRFyH1Spct6YoLwnupqqHbfwG4+UvodxziJnuzddY/szSInweSI89mBJJF4vHtOusZJXhIKI65iq9Lb6qcl4Hpx66QCW8j9qBk6kn219PNuVGJUA91W9dwE+vmEldn9K+1ySAapErU6eTAXuuYa6pSqbJVLhVVddZSdLlV966aXOAKVVo1PNF71gSNysPAQwS21RQmdHb1fe5rTvmy9wX2w+Q0dPwov/ykOO0I6JqP3TgxvRnekgI9VnbQ0zlgqvB+z1LTG9w+LT2wCYh5FbheOC4p9fnLWA66jBTwK8LAPYPAngK7B2lhPmg8+18vUnuOxnacWcKoCdJBqtnuZhEcK4ech9w6mA7eqbtnxqAmnWcdchtaaqAYYzbsDCxaTaKrApD0xufgpy3GA/BmQIHk8LYV4jCo2lZokL08RKGqhAVcB3dwPfHsfYe9AY6bsU+1lGSSte4ZG2d/2+mvHMoBPwgdqsNDA09CLCGOHOSBiIe08NKedwcWjw6KvMn/1kkmM2vHufJensMY++0SqIj20drXheCcTS4hSUBlxhruYprqM8IhkdAbwKx87XoXlKDdTbjC+9wMM7F/NdkgGS8ZGH8tGPftR5KzIoIhYqHPuP//gPW7169ZLmvhSjos/SbdmH4vqeq23m0R8s+67Plx0qfFF48tMdZj96Bu+AxXpld7V1t20kqzRmDUhjVNEVomr1NVYRvY6V+rTND9C0cGIXrGW4OYDeShln8Xiz80OWp9tFUSFS3WpLNHVbgar4JCJctWTF6gCCgxRy5jEeo6TBhpHVSKJgWFEdtws6UCZEXjCAXIWX3gNnhvBGaozSKZKnwRC4PI4M6thsDxkhDBHM6kRxAA3qYZjWeDBBecglD0B4nbwil3XDCIrfKG9IaXgtdnkcM3g7Ar+VXneGByMlcH3RQdbKQ5uItiDYpTWlTUilezC7xYKWwJrq0tJTqoWbRA6Wc+ftsxCyqplnw7YbEuYo6pBB3ruqrsFC1I7FKayS8P75oLGz6DEveNKdF3Uj2f2f5m24ZcErZ//hkgyQpvWFL3zBXvnKV9oNN9zgGhFefvnlzktR5krZrefC8NbeZLkHn5sGSFmjbz2u+i4Wbt9eu63wdVs7/zRtkUftmfkL7Zdz19h3vddTa0XZBWGPBMTecLF6avmoANIdDKAkCIfGEOAv9m0H/2Bxg3UE17+U0ON6sm/7LTeyj04ag5am70wOhnEoDM4Soe1zbrsF9m+HoFhhVWj5FOvAOCrX2USxjvTzPJ4SxZ5oFq0NJ62lktQ3npVrJ6oUdJCfGCRBrBtFnXgS6AxNhKis96gu5+qrEMUj7Khq7bZVGLjqAr3N0oRnmREsSZP1I8O6a5x6MwyWQh+nasjx6bEWu86LlCv1vIorF3Y4PZXfZBpKxNB0DV5VDQmKbks0U8pyoY/QfgZu04RNYZT6DgxinAchbI7YattjofQ9WL1KizeAoWGgbW613ZtcZXdvnbeWPf9iXYWdVoMhr6iI2urCU4S9WRsGQ/tp5ZvNv+pd9jvXc1E8y0Pnu9wB1n/2uxigm3lGz56bsWQDJJB4//79pqyWPJnHHnvMMZxvueWWQ4DyuTmEU/jUhjU2Hl3LG1jFz6FRoBbsk4TsklLdBWX3w7N/7vRq2vydSBSHrNOesKsRJJvFptyRfD0Zp7x98vphq4c9DIGGxY+7wHDSEnBtPAyICz+kZ0zhaTG+xvpjl9h2/J+kDVpz7BlrwujEyVqF4eNUEIJXwi7O4WZMjQxaoW8/e7vPqvEgvFg38NFaa1rLoq29CGOD3C1sYTUKdHgKXByfW3E2j6THhOVSZOjmH7FW1N9zkVbLVPO++jZa6lSiyUMc43UBitNSaGTY9j4zbBPwf6rqG6FgNFsddXC6egsTkiaRvKIzMTwOPwI7ktc4DPSjFswClS9qw7PCm9HCTBJu7pqCjJnpskjzpda4WgqUM5QoDVlD4YDVzPaRkuuz4u5e+/bIpH2bwtw3Zj7rSKHRuaSt9Z+0ODrYUkYskCmshfl9+8yX7F/vC9gXvHfZyzllZ3PI+JRBe5seMH//g5zyq87mFI74rCUbIL1LbZl/+tOf2hNPPGENDQ0ujV7OZh2x1/P4j72NL7PO0f91Hs/w2Kk9lmxyWZdeFtzN89+Bqxi3Tf4OjEWd+2FDq6MWq8KuKf7MHgrdSLtgmMM5CjTJQOGykGniXjIT8noOjW4MxCR4dL/t3rvdtqcabSoMvoHeT7irA2nXa+ljvtcqpndZbmgvfBuya3g0ITJklbV4Mng1WQo161KPWS2kR2+8GkMGfaARbEeiaMok4dGI8jBC36+pFEqCsazVdaYsAhcnNYjEBw0RO7M7rGIKKYzhenqENUInaCRjBr+IMCcQ7rJNLdPWijBasDBKho/XYVEr3FNGStiLOnqcSlW3wlQBx/QrpG9YiUCJc+V0jNTZVAZI9loV/DJwAxh94TnqpSYPSxyeGgpqWzvX8rwuZgwM+Uxy1O67M2SXRH5uMXSJ+qA5XOs/DvcZLSR/HEJCJWzyGJlI6uZgl1/v/8g+//htdu0arN1ZHAuzifpY/+lvPzcMkApT1flCaXOB0KpuF1dHmSqJ06tj6nNhDNZdSzz/FSj7XPaeI0PV8I6fx8KohGOT9wRu4AbIFZBzAwMaGmdJnhUd5DR/5WOd5K5ZMdpmkaG37Z+pRayMkAOiXp0/bJsqYD3XteGRoCeEuPpoZrPlIxfCNqaj6Mweq832wjAeBzCmlTN8pOr6Foo9sQJklIpUwnvJXigAu7jE/qfNAdpORrosGVtnfm2nNdZXA9TSdyzVBDdojcU3XWGd9BHzYSxPDvejB9Rn/gR1VeBUHgWzG2FGtjdWIMEa5fCogCeVPtE3Cl+p10J17ba6vRPchc9e4pCnVDY40oBWe2WdOwHXkiBR/zAZJ3F75BFJ4VF/yxNSdkvnSwavDDDLsKa4qUtqejbE9m2oPmKsKNTNFKE0OIZWxHGhSvl+7UPfhcydnpFeUeGslgLpp6DM3RFD35cKa8kSn4uxZA/ofe97nyMRSpRe3TFUI/bII4/Ym970Jvubv/kb+9CHPnQu5n/KnxlDw+aZ6pvtitS3Tvm95+oNa+NTrkme2gY/PHWVvc//GYFSu61BSXCSOi0VSVbRaWHKa7YDhSZrqixY1xwExEF+cfJ+3A3QxPWyoilg3rP7eyH5DQieCdjatlb0oRtojdNPTdUBikDH4AjR05ywq60mQNiDZ+O1o8/8Ahs7sM9imT3WjKGgmIE2NuA48GWCGBmlrgvZvKUoOi2MAVIXH7GOyMNWOVFjs3CO+kJruO+2tmZS/hRf9WVo5ZxDv7lmlcUbSfuTjSokMXZUjjdXFQgVkIbFUEzSa2wWcXryb3QHoS3PyOMwhSvAojrMq18HuI0bJBkPCfIvGAK6Vasmw6OsmIaAbHk49Wwuo6ObjInS+05Wlu1dWIex4eOdQZLxV9mEZEnkFSmLqpvep6E6LnlkEiXrDW20lzJPSbsmi2QAoTaLux4EA4v4hKdId8TIPA4jyhaUsT/aIJR2uSL/6xgOhV8LPkGEx8D5bIDEfpaWj8onyvwdEQuFC8nw/Mu//MtzxgAJvPxB1a12eeo7XI9KV6MF38V5+bClYsbeS9LqH35B88DEFfbv4Dy/ErqT6uuINaPw93jxEtsb2GBfCb2fUCFk//oOFgPaQNK3EfmPvDigLkgtYw8YxS/60DOejVkrKfR1qwkRaAcxVwzbaLjHYqTWG+eQ5wjupEBTaoDtZJyiLvM0DWu4rnMT/dM34gnBpRkjwwV4rVBulvdP+9TsU5QZrmm0mkYq7DGKIkamyapl9u+kOHU75Rgxy+2pt1R1jwXAjjrEbkYyY2ASkf1go7UgNN3M8ap0IjmWRIgejjVCYE1d9KCnCtZVoQMK++O9WIddVhx6BgNb5fg6HiTCIhrQMzCgJ+ZrLUlfrllC0yhUZef1CA7jHKj7hYzKIJ6O2j2LLzSLgaKhqzMc2kbiadgV1ysMP9IRDbV4xXquwWhpH5KKlbFSfZ22fePlZt9/ttV+GvlDu54wfyTYZa0Y6sHIBmuaG4BmNG8QFOzJyIvtx11/bl94U9iRLXnrWRniZC06hp8lBH6Gcp2zDEgxmSV5QOr7laA2SR6POqIuHDt27HhOKCKW59yGF5FBamJP7IW2Nnt/+enz/l49uT7+yhLhbjzzBlbIjbSdIUMDB/kqskuV6Vb7DBWl164hZFBlKTiR+DzlkYRYeNfjSJQOzxCZzdiVrRlrrBg3sGukNDxLQCxMIPZTAVvYIh0YLSQnyETNHNhq/fMtVqhsQQuadjq8rADCMAoet2z6Epvo34e0MiTH/JC1REhdQ4b0IBYWoj3OcKUpTkXG3aqo1PdpX5MgixSBcxSaecDmBhIsVIxc9RrrXtVpQdL+e6cqKVyttAqUHFvCk2SSxrEQY3CG6IJGsexs/Wabb7yS0j76uycJ3ZK9FL9i5IaoV5tP2dzcPndewnTLCOI3TVKmInF61Yol0FL16cAxlg46r0WHomyacB7Rf+Q16XEjx6kOq6r8Vw91hV+6SYRfFABxjZ4d4vvAu5JGkljQMkrrm1VecTG9C//KeqIQOlk7UjCIBJDFnZP8bK2tqV1rn+sUabLE9i5/Ryt5r5rDE2Fl/hP/n3m/cp4aIJ2Yj3zkI46lLI0gGSF5RSoI/cd//EfHgr777rvd+VN4diJxspU8yUvZ92q8dY0nq1/+nDJAmrMIZLqJHQzl7eBNj8EySnfH/C+lx7t3omi4O0jIUG0b2qpd0agWVgWcoHr6ulejJuiVuz9ME2MQoyhMGc+GaBaYAz7das0BpFyLa9i/PreUhVLIkslXWrR2k7Ws2oiMKgziiT1WpPB07EAvfcNoYAOwXNNIqMHvIlHh0xWDbeAcqff7DL+hyUla7ZB/i088a6n9Vc4Lmk300NCjmyqNFhslVBks1mMYcg5/CpIO94rsI1RJIWsDoPU6y1SuBycatcoQUq5wilQ+IhZ2hqRJFR0zuoJJMoNDGMtZBPFDkCipdwujMw3ZUvVisxgoH5C+EgsjL6GH8ytDu1DnWV6RUv6ScDkAMC32tTJyV/awLffqkZacKBmoS7DfdZWwqCnaPTx4knHh4SeW9kiu1TIMNQs44Rh62nxkYLzmTSfcbLlfXJIHpA/90z/9U1f5/ulPf9p0Wzje8573HPpTvcQ+//nPH/r7fHugH5jKAvrsIload1gd4cZ/xSES4pMHzH64vZRibsHzu2nDYeKeyHthBwjol7nw1+nj/MzYwDhNAMnYNNXTAYPtAnRcLe7cazOoGY6Fuy0bbrAIWj3dUIATAqJxJdL5ZhtFemMHdRFzwT6IefusB7QqlhuxefgymVibJavbrBBbQ5FmkbQ3HBl6rlcU0AGifXMM76iS0pAa0tuB5AN4UWj+JDos0EA4GW+zUEM7JRbtRJZTlpsYw6AcsIjXb23xWku00dW1+iKbpNtGcnSEoliq53k+0rbG9tG0cJS01xwAfjyKqmJk0sLUyUVmCYgwbArRYtACEkh2VGGUrEBRKg0cgfzhQ0VdmYdKPVTvpQ4gUg64dBVnDcMzjuGRFIkyZN31i4C8Z/rjkuU7wyHwWdm9kw3nBd3ypyfbbFlfX7IBGh6GIKbL4klGyLn/J9noHL8s/Z0fbzN7uvpWu27y/5zj2Szvx4vbon7nP95auhfv4+YLWDAcs4yvFsqJRpJwvh3YLgAAQABJREFUbGCK7hngKl24i2IVS88miSc0MjxClmuvRQu7rLa6j2aB9Yi+h+wANWETiISNgxFNgLtEwXm6uzbA61nHc3CJJnstOtNn4fHdFkruNXqIUjPWRoU9XkHVBsDeWesMDgGCD6NlRDaN7qZOn3mO+9RT7uZTkZ+O0Bs+2m05NHc8btCDaL8zTsHthI1SpzGao2sq1e/hqvVWl0CLaHLEsqPIYkQT1gbW1NRDf3lAehkSgcgRP0eIlrM6CJS1Pp4VOko2DadndDfhmdo8U88fwNMKJWyeEC5KeNgDABSDkCktbE6J80jFgD4u6/pEJ/ssvaYyEYV7Jx3Khqlxgwq3z9JYsgFSml16QAKihfu8613vsoGBASceX1YxPEtzPuOPuaK7ZIC2Vl5vV0/9M90S+EWex2OqELXHthasYde/2irExcdG0LbJAEIwMtF2px8TSbRYvvNqe6ryBts2HHGUn2tXm92wsYRlLKa4JyxDuIeMljI6Ci2EaQjzUHZIHBgpB6gSfnaOECXSbXVtXVSYj9rUJKUaI7OWxTD4EAiL+SxmZdQ21c3T1ofFjb5TkLAmBOofbCNTBWcmR3bswB7woolBawmOIgmyE4+kxaobyWbVkGmruKDUAFCAORiRUvS5qUk4TXkrQN4pFvYjNL8Xo6iCTVpNV66yXsTTRn0AGKgI7Qi/d4YH4SgNIplRY8WmTmtCIL8BikEWYuXYIKJocJ3mQlXOENdXVlDQSqofVUOz1U5mY4LcegrOEqASRExwGxlE5hHJoEMNKbM4QgFugE6sSJnUIkVSAbPb92qw0riUlPsoLH26v2jx0YftghisaVjSys55A4+WNKXbL8VVQppG8rNnaQjLWurwn/qmeTd+eKmbn/F2SzZAW7dutZe//OWuKl4peJVl/Mmf/IkLy771rW85SY0zns1Z2sEGgEK5pONUN++IvdgunPnJWfrkU/8Y1Gvss8++wH4j+evWPvMUHsK0rSP5Pg8hzl3UWHizwJz+aND6d99h3dUvtuA1/91etDFunfzGZVwkayFwtWxsyo/L/qxS1ENso3IH8VxclTdXdxkjDZHwxJeREUuTwle7nhBSpw1kdsL5ccvAA5pv7LRWytMTsLBV7e6p4l3aybPgPdkRR+zbiXjYLG2C2rugClCbVgXT2ssSJ+4HSKaeygjPvNoOy1a02hAkg9H5nM2i9xPxWciBIauEWezTFTWArs98CnExqtqbgk/S351yiPomS1estvEgXy4eWwMV8PXBPWS/UG+EmzMzx+TBnqq9HbT9ipPNbUUNEUG0g+dHhlZGOEzpSEN9HANFu6B0p9ONmq8tWtQntQ6IXAuY3Mb5DxI22gRh6SgnD8Pjwyjvo6naXz2+wW6b/BxC/732WCBuL7QH8BSRZSUOYgbmP/FvnNBLzbv145xoPMAVHvKAT6U+ze97hC+ebrkw5s/GWLIBeuc732lXX321/f3f/71r06zJ/dM//ZO99rWvdWn43//93z8b812Wz1BMrI4RdzxBo7z4y86pAVIa9wv/WTqsq1gM7+VhkOyTr4UMd+SL3u/bZQhIrco+AdGt1rqsH0o/jGSyX2WSIbkh0ru01cEDmQDTapn4BvycN9iB4dImcr8F9+g+FuSeb10qrUopa+FJiHIjYURXAx4VfBbhGmGeW8tz0oyGVE3H0ZIxEzDbznPKqIxn0GlGKyiOgWgtPm2hSYBXhN8cHycILgQ/SNyZbf0FGwRTqie9fhlV+XFCLq/IDuYkZEYejwLQwuA+QqO9iMrT84vUf4G2O0GybAm8jJr2jcx7HVhRComjYfCfAeRWaTFdhcgZfeKzSGgkcd8CsMPbICdWJuppJ91hI7kExwOmlUcLKeA7g9OYiMKZoti2f8T6i9U2RVGpT2cLZbA6sYEKUWWwF0psCPgXZtaAwZI4G2mA0hcm5UKoDprLLLpCf3dvq23J3W1rM/fbSMV65jttKUibDR6GE8kRV4wLJcLL4r0+9H8A5f5I33ZpXyv0/6l4P24KglmoEbNrf3uFZnTkbpdkgFSC8eCDD9qXv/zlI4Tg1ZDw/e9/v0nn57lkgHQKbthgdqdC3vBqG4heaO35Z488M2fxLy1wDYVEGlW7vu34Knqc8f7G2vxn6RSBzg+C8QJ7HRSHERUmJ/JfAAMkZq3uQ8hqNAz/zJrGUTgkVFGXUWIhLtKleyeLwd8SEBumM0YBA9GOLQjh/QzsKrF/teDC7D+HIRrmI2W8EixM4Rx0NDatn8GBkuEiqWa1GCox/fzRHfBJnnXhRR4NnVH0fdS6WR7X5no+B09KXkYyT0YObaHZrG/pmYTlsuw8A0EPQfu49Vpr9mmyZSGKZzFoANs+AHSK0Gm0AMMYzy9e38E86i1Dxi41OWZh8Js4fIIYIZIPYzqrotHCM3hL7BMSZrwK/Wi8njCp9+xUgDKJKOc6QBZs3jpCzyKQH8N4NZI1qwRAZ34YZREJWzFKdXjKdAzC8+QYdU3g7uih5wr0r5chq8NrS4JvqctqBfpIBVjrHD4ngZ0iP+JBmdD356dG8IgW29vRez/9v0UbOB1syu+9z7zL3+ouIKf/6Ut755IMkIBl4TyLybFKWvW5hgHp1OjKfmWP2f17zR6rfuU5NUD6oWg8U7zSbp+7z/7h9gPWeuebzXvl/7DO8dusfzhhF2XuxhLwY8YzOdQNg5+wfsQlij8vo2VT5NctryCU3I72M3FTZSO5YVYRoDIbY2kg/CGfofqsIqzcSpqbT8/jQ6H7E4xGUD0Mo2YYJmQIUoAaBs8Jw3PByDmDV2ILjzKHKN6S6ADixZSHepblAX7H6aoxPlm0A3OoFdbUu1BQXTe28z6sJNpBrGXWHkqtRrbcLRKVQzRU0L00D8lwsg8rsNc1JMxNEeKNTNhspA9h+1ZS8502HaTtj9dhIVyxxg1Bq6vAStJoMTM6SM/5Ibp7YEXyVMdJeItbEI8rh571JAL/OifVZLwqOa4oOJIPPjOHhdw3jgHOUTAaa7XGVfQpYz4yPothZ+XjXXgfxcrEOF+9ufW2JvhD/qilzxgCZ7mdwFOcvAhWOoIblSbspOUzhCferi9k5cYpez/lqUisbddPuGr8WvmZFbtf8PM5/mdEUIyT5rO8nM985jNuQ3lFX/va15ww/Ic/fPZAq+PP8tRfUSWyDNDeiivOWUpexuc915Xmvm8ibt987HIrNMql4OdJNuINF3faZ+56rV048e/WXXjQtceJU6qg0CUA/qNrsqqsSXLbWGiVJehK0fSyt+Km4PanyFzCUuayj+Gh6p3Fl1SIMxcnTQ57GA8pj6fh4RGF6LIxn4fYiAfRhKdTgxfkfhx4QVCLufiHbYCMl7pYNLF4m2oQW0cbyC+WXpvKh+mtpTbMFB/MdCLV2g8GM0pfrAygNsaCFLeYxgrJpM6BDbA2eRisSXlchwb8Gavrtommq21sFEMyuc9qc/utJgePB/XEtDwesmxddUhg0F46QA+x2dlKG8pCLgxssUzTlRZvpYdYfsAC6BClU6NO5ycSzNM2B+McSluAUgjD+yvORKh3i9AWugqjFbPmRM5aq+FFgW8FMETOaBya2IkfjBO2Xb3O7F8nr7DNgOmrph6xJIaynvoHf4ZjEi5G/x8fw+PRYsi78b9h3VYu/JIH51ounXjax321uPMnFjhfDJBmqTBLxajSdZbM6o033mjq86VasN/7vd877oGczy+o+vniDvgy/Z49XPMau2Xif55301U26s9eGbYHe79qgR3/SpeJZ2znIKxg4qA5n5ACZnCROoLKChryNdTb2nYOioUqXeHA2hvAKDL88IdpUDpiwyzodIo+XBIT48evuqQobOEwhihWk7DqJirdEQMrskgCGCU3uBpO0F99lFuQPjoqkwjweSN9cy6VrWJMVZbLsITDIUDoCPpDIVrkhNH3oY0xGa0peDmpYINlq7tIYVfRGQPmNUbO0ZAWnHGFJtqXWMaFeWrQkIeN1IIzZS5gDiNIXxyAtzNGqEUNGvKq85ByJienKbtI2DQpcxlSOkITcZKpQmA/ndhkte2bS+JpyHoY6otSQpQuT5Lwb2QS3aNCjoU67WrPxFn2J8lYUaNWnIALJOmSRKfzZhZM84iHKlhVfZhE07bwW3phj2eP933Y8mOP2JboAJ7iW5gQ+4Xoh4tGXHchruNVWGC+pxUc4roJ6zztwW9InTl0EVzJsSQPSBNQS5z777/fdS/dtg05T7wiKSPq9lwer7xYBojwoPI6u2L6mxATATfOsyFg9IYNxC4b3uxmtuhPl/DHRBYc2gayTPiy48dcadHrad5oQ9EN9pS3mb5VKRabSiImWajTVhPIWTXV87EwGJI/BqpMD3ZS614YjIRwLwMisy9HTdV8HV4HpQxgJTPCkjTwJmbAfQpBengl5qyHAtgChimbmwVsxlghGjI8Qf8rqtmjYB/1c89YVf4pi8SJ3eaR6khT1yUjh7Hz8aSm0HMeyWA45M3hFlZhzMS1SXFYNZSHNDf3UHrSVfLsYFqnCbem0BdKAQDnIBOqRCNADVqEFjtx3l8XmbXKAAteMSv74INtnlZCExR+9fWjS0T1fl0sZesAxasiKAlgjNVRQ3Vz82nwGc6hP/Ak5SZ4K+hIGXVSKj1ZuKqVQesldBOnaCEJ8Xqt2fWX859upeF1vsA9OBObUN7Xye6lh91YdbKtlvD6/gdWnBO0ZAOk6crzeclLXuJuS5j+c2KTddA0NrfD3RgIuLa1Lx//7HNi3sdMklSw2MIBxLwse4kF6IwxM7TT+h4kIzP7lBWrVlvTqgusvrmTxn6rrJ56sNAs3gDh2Tx1XzOspjxYUH4uhFdQINTJQTJM4fWMWmfFrNXMoZCI5KrwpBRFqimvDuylir5a1I+hjyMMRVl7ZdOHD04uzuNWyi/ikQJtZ3K4CRLAJywEr1HfdwHiqcyMjeNdzRH6qTFgNaED0aPDiOoJ9eq48cnsHEOFscpR9Do432MDMKKnyWZVBgcBicfgFQ1CShzBuFZjTDAaVZ3c+GL5jDk4SknoyvuHZigtAeSnY+radTUoR+K+URKiENXnXGAJwYTA1UgRCs+S9+gUJAHXbc+9ziMKdFxBiNhDd1OMMz3RFASv5TdUxvGO+V7OwRMinKqS/4zHAGniF/zGGe/mRDs4qQHavn27w3pUbiEvSNiPuldIC1q6QCrROLpA9UQfeD6+9upLZIDA3WJX21Bko7XObj8fp7m0OXGRSAWpuC7U244Mvcij/bapaoddGNpu1Znd5iVbKbHYaGOQ+LL0CcvOt4In0Qq5OEX/9imLwlmZgeszF05Y6/p2W0WL5TCX1HxKWsl4G6rdKk5YOwS/avCj6YkK25GuZEGSLqdTShRUOUHqpZabJDewANxw4cCgJLzjIUYvBcEU+xkr4EWhqBhuirGVb9MYPnUNra+YQ9R+1hH/pDWkm4zk6FTB9o3NOYkMeI5OUmMV722k3izMXBzupU4b0weoa9ruasWmkH+VdMkAXlcIC7eaiKorwb7hEzmlgIM1cK7nO1pHAcIkn/DWR9mRZWxFeUDyoGSk8IjmDzwKeN7C+dtsFa0X2aq2euYJxkPR6/kwdLYljL8cw5/oLfG5JOeyQuOEBmjnzp1Wbij4tre9zU1BzQllfGR4ZJzUK0wdMiRa/1wduoKB9Tpphntq32GvH/m/3YI4X45Hrv7OEbK4IzusdhbBroYeBL+ofQKYbaTh3zjazIVqaqYIaXbjiWwH6hCfp7MuYRdvpk8X7KE07OMUpRAe7PXAAaQ48UDCDauRU11tUfCfGIt4Fr3iAxPI0hOGrIlOuTCtQKp7iHT6lF9DOnyjNXTRWwuPJjWdQU9oyqYmCOcCkCOjey1B+BUBlIZJiOdA1bnaq1IG4ZGedno9/JCnKAQdmltnc+BQEThLlZPbLM9ny3trItffiMaFQoiFQwztrRx/H/cefJ6e7oKtbyhYe1yeFQYKo+UMFV6Mlxqz2eQAnMNxil0Brgn9YsGYbeEY61raLEZa31K4ZoSSnoyiGMloTwvM90HHPfblAcZbetB5bEX2R00HrzOpGIqM6BLNTlD0mvyhVSfvwd2jyaL6eCmzRZiX799mM2MQNGubLU6roiI1bhrz9RttJH4x4DwscAnFrRAJUSRSVb4vzxAot48LxwXLs7tF9nJCAyStn8suu8yVX6hPvJoGqkOqWiKXC1B7e3udIqKaCj6Xx2uwn9KGGY6ss62VN51TcuLC8yhw88//g/7l2/7absl8FV6Jj8hn2kZDa6inIqtC/dQUWaa9oYvsn+v/3LasrcGDoOoauEKpbQllFSDPxQATKylNqEQyI4roWFBeQuZxtJt3m8/iGQ312IhP7Rd1Tl3NCbgqyKKmcCZYjOEQfbVCeEf+Prcud1FV35+j1KGi29ZcstHW1M/BTkYDWiFLjje5GIp7GLVqdeMTHiJbbxNoEOVUeU76OxiutHz1Ksox0jCLR0CbkhgeFrFhjFjsMrrqjKp2x1Io1FiDndjY7MHWRgTNYxEfNQSIj/CLTlWQ0asppfNrZ/usjrS8GNr+zH6MCQaFIlcPxUZfV/ajkVr9DR6kPmnqVxYUS1PNHicHgMgGYJOPwRuqdd9BkfAt0PeoA5h9tIhyz/zUQmheJ9TiCOBpnuMQSVSUBt+LWgQu066aG2yMYHXTCwiTr38/R7AcsdLhEyHweTmHDxjtnSsDJOF5pdhlfDR+/GOATb6gN7zhDYeOUZjQ9773vUN/P1cfqNfUC8A4H+U3+vPa37A1uQfpmcUiOodDYvQfvZNQY8fX7FUImY8G0OWhw+hqf8QuKjyAJ9Fh+6zDWnPD1ky7m1vHP2+PN/w3+9VrKSfghyhcQnVdhz0KudKrcaXaucKvdnybXJKeXL17MWwDtqqhkZR4u42ONONVJchSof+ToDCVsGo02+YaEnhB+n4B4K4Cc+msHkBkjNBDHgWehANp0YF2A51ksYQz6RmnJ12A7WwwmUPz/fQf64WNTSaM/HsVOkTykLxC3oqDoxAva20sgtZjps612RHGok4XKp9RI8LDx1L6GP2volBJqcrrk/0QyTBQjQwIx9NBsWs4h3wHAuyesCda77hCV9WdANIHEpAG4eh4UlQUCL3Ao3JhGKm5OcKrAerNCo1d1oL3VZnr50MH8bYAuXPsMzVos1t/RJ81OoKgTlkSupNMru9kXeVdBSh8bZyl88jcLnsicp0lnrrf2ls2EC/ddvhAeOQP0T2D/bmBmP+pDH3fkllZ1oE3vJLjhB7Q2NiYw33KE/jJT37iPKK6urryU65Atdyw8NCTz9EHwoIeA0LIUcNzX+KtdnPyC+f0SIZnovTOMnuF/zN8njg1X2F35VUfdqWsgxTRhmHz0u4RKYtJWxPeaU9O7KasoWjTZLYOOg6LHoPen4L5m51uhHWMDKpHvdbYfjuwjQUQUoFpgtCozkYo1PSDUWfIhHPPsNiduFU8SBqbMoSRMdLyO9zCczVRkWqIhvSRtyqkK6g1n5NBkE9TBVZC3zCqz2vp1lGFNMb0xJRNjwwCQOdpfkjGjLqUWbwosaVDVJ63xbsQEItbDSFULhu1XnkmB4fmrzIWeYjSPNKcZHzkOfFhCPJjTzC+fJ2lQa/4IBsGsjCoIDsGZ8F6ioSkmIl5PCFl0ebxeooYI7ULKg9luEZS9BHjX0vVnI3RG8zAzQJhMozwhoLIiYQKW2nV8wvHLo84v4fJHRyak6ii8nPwE60us9Ma6q6znfkN1rnvl8cYIBOGpZuGTvgpjJNq/pzCvg5t6rCwQ38t+4PD3+giu968ebPdc889rvA0R3sXCZCVQ6/y5hIiu+KKK8p/PqfvxeyVst3D+3D9q26yC2b+0zrzz5yzYwoFSI/zG2S5cuUHn2AmZdazHmvFySMI6arLAowjTeFx1WzIwj8JYTgQ7FJ5ABTn0uo8eCRasOLa5Hg63tnEslgLwDthgQj6PPkRluQsywgCISSXpsq8xWg2OOHXw7epIYMWcJ5IaWngNpaH+EaFtOXTKbweWgQRWgWZdwyDFKAmLAaXQKRDZbo0REpMEzKlZuZoLSSsJMs9OkJ0rlVvsC4q2BOBx6lJo8QhS/96qvGNY5kDZ0lRf5YknJvDnFWDp7j+YOxLJR/NbCbZ3cU8JcwSn7yasBNSIGFiYIZ0O2l8gdEe1AQ/S9EosiI+4ZmaFqYoF8nCF2oE82rG+Ihp7nEj7i1FThTT+RXNtKeGOb6V44QOoEyas4B8UxqHTBEPZIyKGBU5XwGwJt81F3CbnfF/YmxLdmPZxwKjv+z7ZocnNEDKdklgTL3AVHKh+3e+851uHuqK8Zd/+Zf2wAMPHCNQthITPVv7/NUtZo/s54fDD+buut+yNw/9IScJ3/4cjFYW/w3rzL459B7bnL/HyUNk8Hai3qwrSJ0PIHdBlXZ1MEfL5Tp7NHSzXXNxk7U1sqjQ4fEzw7gHhDhIpKJ5QW0PnB6Y0FPZGCUN1EhR8JVhzUgTOdgCHtNxMfVm49Qz9QN2I5mKiPocFnCERRgKpO2CGrJTFIeWWv2wyhcMGRMZtSkWQT6OEjMZNYnLJ2BC11UhawHh0ccQZbwEBbN4R1nyXmBVlGi5flxjGe7Zh6rxu2ppKQRj2YMF7ZMxE7Y0D2AMkZhk1AQeiGedlbRcBq9KA7FPIiDWRN/5VnRUK9SK6CiDC7pcCq1EwXaANZyfeT58HkND5ssnlBI9wLVrRqTMZuEZJTlvhKGddS3W2IqRxkNy5RNQAQRgF3x1gg1ZMkfr6ma0ucfpGvLwX2NlVKtHl1V+QLJFMkf8hfGRD+Vbb+IllkMJ8tJaPu8Ff7TgDB58SI+uMvnP3/aDY18/zjNiPR9N7DzOpqf2NN/ZSo4TGqB3vOMdlkwmXRGqcKDvfOc7tnr1ajefV73qVc4o/d3f/Z1dc801KznHs7rvVfwmJVj2uDxhigofSrzeaQad1Uks+LC3v4jfe+AC+9xDX7XfHHm/wfm1rZHrbbxina329lhTsd/6Q5ttZ+KltvaiS+3F3UhgkCIu4SrEb5DqfOqP5gmvxlJ70UwGwCVEKnqV6OjgWaHlk2DxVlfF0LiJ0fOqkYWCxzHThQ0bsOG+PgvMJ60V96WSvvJFZE3FbjZAZBkipd+HKfJUAacAb1Xcx1Exqyez1ASrOuyR5KcifDQ5aSlquubmRgC1g2SCALHDtdabitvYTNBJoG5cVcZ59LMkO0UWba7hAte2JzXOMeDmVbfVEgqRvp+esjFCOJsdtvboPrwm3Irpg4Av2UBPtW+wvT2PfcHOduX/HJkbCm10ZZcxIZvowZ0KtG7CaENCpKp9lP3myOjVVtADLKoDI7WosAycaxrVgfFs0Hlv8jpq+Rh5XLFXfYgKfs+y9/29M76yPvpoeToqWUnHVtnW+E2O0nBRc9QaXvx/mde0nmroBV82D12ZBqUoGq6RpHt08v+Wonh48r0ssoXIlys49E2fcPzBH/yB6Xb0+Id/+Adbv369Y0Qf/dpz/e/bNpcMkI7j0fiv2obMvWjf4Badg6Ef+duv0o0FYj90M1h31Dya+fsyPZenREGLBQPhrugCd2k0OB3fZH2jkPGk+EdtmIdBqCQN3lqdtjqqSePEMEGlz8GJSSG57NAkyoYDc91W0dlhnaFhCyJ/6tOWWC14BN5m8YaTYwcoaehHhRAwl7R+Q02VA7+1GDTvUgNAyIawqQNIndbQJrolkrEiYWL/4LSNTibdgtxCL+m2BuRTq3S1xSjMFZDQKNjY9JxNpeEoEWrVo0RYj1Tr/BSGdLTKdb6IV1ZDhNTc6S9GeQWMQ24YSIVYAnBVqybtEYyRD0gfIKwy7uEd8BzcIxWHLsBZhD31EvbOo/nTSR1bNWUf8opkQNPjUxTpAtZH4f3UtltnYz0AfXxBsWrAIrd82N30VRw9EjzBtWRFhvCvZQef3UwxovU9KzLn8k5PaoDKGx59f9FFFx391H+Zv8WOVncDcW9gxdhP699jrxv5Y66fhyL68/NYWVyeFpjKMliAc3g+A719tnsUb65I7y5IdQlCre6aLEqB6C+jwYyQTWl7jsjDI1DYMDyRs+nUJNXpYECESIEAzGBS9V5UejxjAMdJp000TWvlSDRKayDEvwLjYDYxAOQGG56ss0laRgt8VmZGgma1VLoXMSwHmMs+pELmKb3obMrYqooJOrDuAy1+GmyEcg6FNvOwrWnuF8BAtKD/kajiZ4rHMj6zmtAtTU4KImQsQ6F/B0BwK6/h1cmbkTFRFgtj5CgBwnbE6VEmh3IQX5krQiFJmLgwDWkMGSNlwGYI5fZPY5B4bvUqatDonDI1DXN6bBxwfBSziJgZ7PE4xjiMxrWHEbRsk2sj7amuS59/joawtRUZ8MScp7siOy/t9LQN0ArO6bzY9a0XlgyQJiN29LNVNyOJ8aPzYm4nnQQLcRBR9V/21dnQZAHVwAkEx5LWUQ1OgSKZ8Ay3aDAgaivsFigGSzKv2j5LSUZjU43VIafnsfCVjpYc7zhFmhMzTdisMUsU+qwntNOqa2osgj6PtJgPDIPVzJBmB6htAouJ18atgtClmKSgdcZ3zf+I4FyGahUtfmRYvJAsHN1EaZA4SXFolrbGYS/rJGGFDwWq6gh7am0gS3aNgtsmLg4ChD0n2Qp+kyRWxstT+YQbMgTcnKdWPlEYJSk0HjJKMrp4iy4dz3ErjS8RtmqMaR1VslO9CJUBes/ReSMGv6dxbTN90sCkFHrKu9R7xaBGH9ufgOtEqBhAUtYRGiWBIgN3FkepVdLyf6DXcfny7/SoPT5vgI46IeU/LwOPKMm2lp75eeLXXRufc80NKs9vsXuloNUe5uFeQomJklv+orVh29jaQv1TC2GK8AxeIAxzjQq1aHX1JjTJguX05kgX1+CVxCaRP2W75CByHfM2RvfTYYDrFPVg1cJvsFt1GCZvup+q7z2W6X2MRQ8oHG+0aANsY4pHPVpfe2k0ejLgPIVmZFGRz6CB1tqWkLXVEzYdlKLQ4pcCIckwQ/fdmjnvtXheXiGDXQSPGaF9D3OuiXrWRJ45Iv1mWNlWu6qkMKj6MloB0QKDpzFEIhcePY5jlHwyb6O0TR2HrxRChiPkZ2wI5UYKTKiVQ/iMeUQoprVJbgpn2bePx+XBbvaZnxTbvHkRHCfoKMv5wnvyBPbD6haWU8Kdjp7M8v4tPaYVq0Nbfe3yTnaRvT1vgBY5KXpKGMb1G8y+xdrSyMMNuj/xJrsh+aXSE2fxf19hxdPftsGnHrADNOd7uOntNlZ1EWUBBWvd901qrh+m5gu28SXvsG3+JnAVs6t6SLKwmCWhWh6eZCG0MCjG9BBb9wGobZCMD1oao3CO4vRub21QP3Z0pjFmYykq1CfIhEHkq/LyeFCIlOElFMi4DVmPzTZcYuH2kNVSBFqX66WOikJTghkPPGmOeqn+6aCNjsEWpoX0RfV9pO+bqcjoYJtGB1rL8Ihno2r/HqYlmVcNqR6O5KvdjYYUtALPIfsKpgPzWFkxlMVKGE4FLyo0pITExxDZ6HbzqwDRVRYhXsIJxjz40PZJNI4gUUawL/IiwtS3NdInLR7kGGSshSvhLflIdshLLAXg4CLysA4aNR8PUmGdMm3OKPWBle39Www8BkmlIU2b+IyApcYGrREOUCXKZZG111rwkteZt/HWE8xwaS+p9GJFRtPGkhTJiuz88E4X/DwPP/n8o9IZuG6d2Xce14Io/f101S12cfouwNCzDEj/6GM2tGePPTFLuxkWyYXb/wqt6D+02+a+Bg96v+3x1lGHlbO2ez9lV7z4fbZpYw+eCkaL4k0tEIeLyIgtwLB0SJINHfVb8WwQ8KpIW0MUoTNEuvpIT/chPE8BA+s7Yh0AvZVB+njNZGwiNUXh5zT7Z6FGs+gHgYVUcNWP9uAZEIKN99r44CAdU8ZLFfMtXdbdiPJiHuOU3E0d6ja0eyKWQ3i+Em+po66G1sysIue5UEgLjtw/ydrHAEoLSezngOPLYJ0ojVDIqPbMApl96etI+0gGAexLZR/odOCRJEuGScb2qHBIuNQItuzJQRxBNpdwfyfYtDJZEcnXcsylG3caSttTCOtCrrJR0r30oHVOVRWrYlsE610C4JGvuuxVINnrzvYUdJVa9R+DWYVgrlOenN/+MwvCoC6Ked30Cvcxx/3vJNGcdJVWYgQ2nWRey/ShzxugE5xIcSsk1fEkF1cN8VnvrXmbvWr8E6UnzsL/vnRppgbsyflN6OKgoZwvUibRZL9W/N+O/XwgupZUr49MRciykTrbdOCbVr3urRgdYSF8vSq4VPhw8IotDouel+7OviSCZkAWbR0l72P/eN4GBhGIJ3SqDQ/bRQmRE+vQbaaXOwCzOkW0IFfqxMREupNHgiEwyhxEnJpCFGw71faTtHJuqBuziyKDdCrdjc1oxmPbCHXgRRirJJpLfdY8P2yRGYwH4Z1qw+ZRaBymy+r0fMxi0AJ64Ck5Ts+CLJU73Qr9FDZyE9fGYTlk9yQrQndDpgEpM4u3IrwGGoBX14NxhJmNsRHOo7oyEnAYTzzENSUjd5SNOvJbVdEqOJDpdnC4Eg3CN3lJuqnkRCB3oO8xF856acS8mOcc5ziM4dX+Q+BiOVpCzwHoF8kghphvYNt/YPluYq8nsCK6UhxniPIgZcnlHqqBs+6rl3u3i+7veQO06Gk5/OTV/EjLBkjP7o9dageiW+jP9dThjVbyEVf8IpwbhYROCxoarbScq4tIY8DlCXIFDlEhruJHYgiX4fHaLz7hjMTX2UeEoPUrD0DlHo/2ySOgCyrdKJqbW6nZQpYDQxSZHkfuAjVC8JsIDGFPhDwZMXpjqTWoV91sufy87TiQssFRWMyESptrC9aSUCVUp00kSWH34akUhzBKjVbXucbCiUtKnomTjR2xKThCyRQFn3h3bbV5smnjhFnMb0pcGj5H2Is8JG6e+EdlKVOtbLAf3ZxyISGTd9AoenhH8yO7LH1gl01H2ilX2+B0jFQackGzGbiy4yyd8EQd50WFsq425aBRkpMio+TvvRfnqdMZJZXLFIqcA9oPyQL5Yk9z77Jw2q88K4ySJy/oNIekbPXZyz28La9lx1i3szCeN0AnOckCo4WpuBqjg9v+IvEb9saRD53kncvzsgfYGkL4a1VkxHbNNJPFopne9F67L3SjrSk8QcsXOoLS0aGOdRqfHYHwfJn5kt0QDqLFetRQG57+ZOmYFFo+0Isjw1oQj0ShiCR8MGUWhWNTT2l1PArYq3BH/CI8HVfUSaZH5QrqONqbDNi2IUS/aBm0pruWanXeTyg2PIHhQf0rOF+0RB2pdBQYA1Sm2979VhRu07iWvvGtNhCgW6nCv9g46Xz6bUFclMfmw92R1+YTHjosRhX2YhfreASeO4ME2C0ujx5jlEvPoRUQbkG0fg39yggXi/ssnt5rtVN0dI02W1XrGmtNkAX0iO8w28s1chSeZVuvt+iOX1o2ts6qp37JSSTwIpMWngNHApNyFwk8xwACQwGKisVM13Ge7jidjhcn+yw1iLQ1159ss2V7/XkDdJJTqSyDwjAVqZbHSGQt4mVX2brsA+WnVu4eD8C//oO27q4/s/T+IWql8MKab7SHi2+xvtCt9orBj1k7NVy1QfyNy2+1+BW3ki6G/Ywgl9O6oTrdZW+YoQzPKO8XQVClEyp9ULW8mg4KCKZBhsNCxCuR0S0NFooq3aWbIzwJfEVZn4n+XnpnBcGDKYOAlHdBV7XzKJAIIq1N4SkhVUMXHSYqqaGCzCdeksIicXF8yhYm9++wqRA8IkS92jo7YWJ3s/9OJsX+M9S0cQwyKh5sa1TmMTpMUKCwA4YJe3SPHpLKHjTmkeeYJHxLIlA/SzvlEJrQjc0NVoPMwWDyYiuM7LamQq/Vpp7AqCVKx6TMGUbUpewVop7CUN1ZmihUmFWKe/0dqL7cmje90Wr23mnhunaLkiWcW3+1je/dhthbBoY0Bpm4Kdq52Wzjr5hd8z7n6Z3Cxx6xqcLIZR+X/ToHcujLX/bdH73D5w3Q0Wdkkb/lBS00QNrkwZo32dqZB7mSumvyIu9avqe0CEOv+qxdDhN5dCZMf/J2+zUu+mPpJvg5f4VY+xA1VREH6rpPZXtPNU7TQyzobfQ1r6f6utV2jEfdopHfrtRtKzZFOJcyKZLxVB/4Ew4MQob+7M+MNdFJlZ7q0Qm7vCYJ12ccSQ9qteACBarrIB7SuhgjprARy+HwGofZ1PXY9FTGRoZGwUR2W31uj1UP7QYsR5tHWZfmDUyCLBY3B/piiByWozotkSzVYkhsZsBl7Vo969MUs01gUWeQ/QiAy9SECRfReK7EIMxOhay/P0Zv90pr72gBaMeQCRtS9g/cxn1zYDHuHq9LjRQ9ZdbkUR01FK7O4CmWjY7CWA1doHQO1dhQ5y/Q/jrzL7meMAxLzwjxvgaEzCZQDZgF86pFcM2rYR7cvDMIc9RUcmGG033Ymf6H7o/X/aIz3cspvf95A7SE06XaMMEN+hGWx3h4le2svMY2ZH9efmpl78EdvPpuawZ/LQ9V72MF+K+7/FTpXpPVQgaonRofs8eeHbZByh7mMEQV9a3W0UjxJBGIMj8yPkspYtQVfsew2U7gHBmWTasqIBS2Q05st1mq32MYoc4QISBYjzdD+ETex3lgCo0YSrf3T3p4XtVWw4d3rF9NpTuLlHBRzQz9Aw+Y3/8ooDHWvhFDpF7xqAbq5rJaMqjJXowV4C441ITfYONUrs/h9VRgMJo6KI3gWATMKkOVTmdtYBRuD7IfPRXj9HYnCyeboPS8cCWwIpcGize78+TIhdKrxkNzdV8Yozn6vqfQmE4hUSuPkWjSnSsZGrG7RRs47Cmy74PDA/wmveX+kqGUb9XSrZCvh9vyjGUvvRA+dcXbl2dyp7CX5w3QEk6Wfmha7OryuXA8mHijrc/+ksXGL/M8GwJbH+gN2C/3NLNIG+HhjNiGyhFYxJD66B4RrW1hNS0t7JAU6tP9rFc8AKoUrAMnQTo8el6LcVU7mj0CgwmHXB8yGQuna9MHTlRD2UaDjRRqCMs8slssXAyFG4Rp1naxeeo4weIvDj9NRw+YxSIXqkhUBkieAl6JX9ttqWwRgzpu2WGyc7ShroujP43oWGUCa7DAmxjPIyAGr6mqjlbWfJ4zStK1IWxzGSul0WUYVag7iP4R7/VqOymraHM2KY3oUXacdstST+Q11ag1IelaBWWgEpdH9v1cD4XMyzm81dcdqsJfzv2ebF9nzQCpqv6RRx4x1ZC1tbUtOq/9+/fDHxk49FpDQ4MreD30xDl8cBFTPtoAJRE83175EnSDfnYOZ3bkR8tIPAJedf8eiMyss24W4IvXBch2tSK/QVpa+JCE14fBWXSlJovlFuORu3F/ycg83qdQr0TUW8emAuOlPlg2ykeEbVrIB1PkyvKkJgDIqYCfn91D4SsqjY2AvzCuMVtHfpowB3rKO3VC4T9gRNIiFphemB61NHVZk8jAziFMFqHtRmNXD62ikffKAoxn2C7LJA+GZgOIrI3j6ci7k5dyyFgocyUvUiFWecDjmU3DtB7ptTzcpXxhlA6sFNbS+aMSJnRdjWeV8KloYo31xTMqREt4EUbVpeXlSZ2jccR5P9M5CNS/7C1nupfTev9ZMUB33HGHfeMb33DtfHSvbhof+MAHjpmwKuyHh4etlu4KGhdffPF5Y4AuIGz//jPHTNkeqHm9bZi5lysyK/MUhyI6GYx/fhDngccLM21H7IqFOL/zbguk+q03epl9Z+ZG24uMxUV10/arNb+w+aGtNpqrsP2hTbav7iU2kQlYIw7J619gJsN5OExgoSsDJcOjcAPSnsNEkM5QOr0MPooFrS4h+1jfeq9YyhX8UjRXcYDU8lciYMcbOo6BKXp95SkBaWqxVVUoQheQLhVBUMaPhVsyVBgjGYZDgzCA0LGI9zNdvd7S/VSfU+sV8EaRCclTW4bnRr8vy4Lh0F+eJmB4LS1OmF4yGkP9qC37ldYB+NxApsuFW4f2XXqgMEr4jUpAptHyKczjaYGZVcVnLJFHJL84bRU6WAHvYjeDK4njUyIkwi8CgHetXbVo0ZZW/ZcruxCGdMja8VlqgNj7i5IhJXZ3VeWrX1LK2h01p9P5cznLL7wLX+nOwenM40zfs+IGaB5R76985StOvGz16tX2lre8xWlKv/3tb7eF0q46EHXh+PSnP21dXV1nelzL/n5Vxwv7UOp64ZgOtdgz1TfbFhjSpzo2NRXstZeRmcbTf3i/2WsuLWEM0GsOjz0/M/+nnzEv2UvbGmqoZr5l6xHf+GH4I3bV3P+ykfnHrTEwai2EgX6IDheVd1rNaz9pl6yKHB9UVvih8AajI9HxsjHSYt6Ta7JtIwGXmhcwTdsvR/ZVqYIMz2FjdniK5UfCyCQsJmEynSuFraVKbd5MtbmkQRyLOYsxEtYiAqMDl2XhEHWnCFY0gSSyp/N+nVW21tGnfb3VzPSaN7WPeeIZyeDgLakCXsWlogjIYPalkVX1I9aJGFolsh3+UD+GgQkAWOe8KmdwhOOIkKh56jiUxlYmSXyaIJkz48yWWvsQbyqMlHFpWlUyLI5wiDFS+Mbnmo4hhSEchygq2UqnjwTu5rKOkA1//MmSoNrwdkJ0PlDC7k/fYf7LPnHGi13yG/rIZRmcd2/zq5dlV6ezkxU3QCLKffnLX0Z8vOR2S9o1nU6bDNPCoX5jE3LZR0edDOwNN9xgnaRnF44MSnK7du1yT/X29joS3sLXV/KxrjjiyRwdhukzH6p5nW3K/IyMB7/wUxg3rc3bG15s9i8PlQzQp3+NiyqfoyalXKi5ikLvf/RbLhOUJ4NzgB7tQlLbA332Z3Pvd/yfagomBijIqKHGqNFDgqOIt9B/t1WtvfXkMwEDEs9IJQ7jQ0O28+lB9H2QZIWM2NWKVxAJOH0flUQ4HOUEe5RXIUxInCIZLikbHvMePIQyq9h5F3hEKuJMD+zDWwo4tUR5E3W1cJAQ9yp5WVi92i0A02vAlRSWseDVqQEvyZrXWyrWZf2jM2hCT1lXTdoi8IjmcHNmEfdJT/RbhvNRwAAVkaetqKtnXkFndI7rwRHKuTDNeYiEq/J4BIgrs4jHdXhgVMikefKORC9QCQiMdZ+GkP7WO0vM7ORejDzzlDKZMm/yMh/7GjHx7x7ezVGPfEnEqq5NQ7jVIkPUieUa3sWv54vCEp+jseIGSMdVNj5FWLxq36NGho2NpFQXjN27dyNClbeHHnqIauqYC9GkyHjbbbcd2koe0hvf+MZDf5e7dRx6YoUfrCdyWcwAZZCTeLz6Nrsi9a3lmYHKDG7+Y04c6WnkRdW/qoB3oEWbQw0nDL5C0QKGB9CUR0GoACL+h9QOhivjPJwXFzKIsXySMYPNfGIgghdGH3SvxVbXDUII7LPa4jCpfRjRbgEdH3VVdmxoCuwYx0CLei1f61IyNNm5IFXojTYFQF6MEF6FJqyD9jnVoSReDTvy5L0AYJVT4oQ4XvOFhDJrkPc4wAfusent99sEBMhqlAVru1aBE9HOeQpd6hmaLNKBI4xcbTwwQy/5SYod6Ic2Qyo/gBEIYxQQ+T/uEKCtUBWj40/2wdUBGMfIeLUdLuwrvQ9jqrBLN9ECRCOQa0XoVdx9N+cflrM2lAwsTHUOCH1uvMCy4HxpJ8f+T9jmQrdjXzn0jCLE5RgKxb0NNy/Hrk57H8t0KCf/fBmXj33sY7i/vn3kIx855g2bNm2yb3/724fCsnXr1rl+YwsN0IYNGxyWpDerT/173/veY/azkk8IhP3J9sU/4ZGaV9vmzE9o5cNqPMMhfMR76UdKmAnhkn7XIa7sHmBtlGrzea6oaRZoRTFTwp7IPoU9wNJi3oIAs+ECle7bf4glIMVM2xkH0CpEWIBRzOGAbgNbfYqLrcKS9lqzNY2Ii8V76KveylWY8Mj1DmMjLUaBvAver0MUyD3I4SosbQPbVT/yozY54kwIf5kkikEBw+FJCoMkeVJPQVME+Vv2glehok68DoVA8hqYt4chFmvYZe2EH2FwDvjdSIQMWHVqp1Xtf9BGB+NWqF9n0cZV1Kt1Oi8nYnmXbvdVK4a35Rjd4kZh0B1uo5S/OEcHqQJHTFZ/CLRWX3h5otKmHt2JseE8yCM6Ars6+E4dvEKajkvNp1+YoyE474IThNyrvCUvwVVskaELTeC373OvFP/37WaERYGr3oXnxnHv/tAR7xBhdFnGltcc/9iX5QNOvpOzYoAUXqnJYUdHh33wgx9cNHSanJy06WkUdw+2/BEOJEBaXlPgYMBbWVlpW7bgjjOULTs6jDv54Z7ZFrq6H2/MUpd1f+INyyrX4TCMK99u/o8+bhUUpXbyo6d5sD3qX2lfCn3QftP/axQE+62ThoEBuCoj4dVWrGy2tRu7S5KsXL2L/Uiig7O4RnvwiKR/vG8mbg8dILcDViNc5+rVpfDysLQDLrkWnvAOMZfVHZOQRIZIi0phlirWZbiUDVO26UTYkLaT0VFWTcZKuIuyc3rvMQaLMMeFOtRUuWJXGSKl5bllaYE85TXYtmSNTVLE2lTdY7WtnRado0Mshiiaf4wM2nbwJ+Ye6Sl5T7rK61YPRiYjAGakYyqmOR5CJNJq4DYYFOkw4/EsOoRT4eE4oyjsKruVLrFgUQqp5C0dNbxL32yBwafdBcBGtrGNbz4YUAAj48N+dp7RUe/RifA6Ly89q9BYRl9/HwVVaINl8YAUaq698ehZnPW/z4oB+uhHP2obN2603/md3znmAIXltLa22tTUlNOe/vrXv04WosLuvPNOu/766w8Zn2PeeA6ekDypgEtR7xcbkuvYkv6BNQCCLtfwul5k9uq/teKee6waav9EZIuNZK63TSk6XDR+1lrj91pu4BknFhZiEV26sQdGMFd8OC8B0sxFYRQq0MSAZfY/a/sg8g3Oos8MCL2lp8vaVjXxGAuy2JDX1LDWyWyoBqwI/qLupiN0MA1WJo7Q8Dn67QrN5CHJ8IiEKAOlrp3Ch05krA7th4U9i2h9Cg8gTdHmzCTpfJobJqmDq2IHF+CyNcHKDKNhhPkEG2vHIo5akfbVRc6HjezE6GBZuTkDLIpAuaq9rqtkXEn5C2/xMUT+6I5SOCWhM14/xuOTpRS5UyUpYFDCoVQy4sB8PbdwKIP2q58123Mv4WJv6RX26XddXUrjL9z2NB4vBwPak9zG8Ty/05jT6b5lxQ3Q1q1bXbikkOnf/u3fDs3z85//vEuzK4z6i7/4C9db/jWveY2pFdDc3BxkuRr7+Mc/fmj78+WBvCBxYxYbqkm/j97yrxr92GIvn/ZzHkYgyE2jh9t79cANrKHdcvBWesb9D1ZEx0EnleEhpJVF4P3pA3laLdMux0vb+vqkdVU+a6HRx4iJyNgQVrhqcmVwVO5QwaJe2NoGnCNVtd4GZ9JIXdDbPLyH3hBgT8aiPwpLUaZJeNAUN13qZbAVnsnrOcbbWTBlPZR3pPfrpjS5ROI1Kllx4USzzUSaraUpC7N5gjCTlP4EBoB0uK+rufAiMmQBwk6XocKg+GM7HKfIl1EhbDOKaMvDVdUrtafXVOOm0Gyy14pjuzBG2zkHbJsgRFO4JcNVXqy6V8U7uI8TR5NcijwkeWxlvEofotBrwy38IpZ3KLt4DLh/qh+h0HL9zaf6rhXZfsUNkLCde++997iT//73v3/oNaXm3/rWt7osmQzQ+TiEAx3PAGm++6MX297YFbY6+/C5mz7lBgrf8uoVNkn2d18GUHbaLuyctotb4OSAt7DW4bfMEpKQiRLmonKIIcIG0tsBAc9aYIQkap0zgBzrNBrJlej0dLSvJ+TBuCk0G9+F11BNOxppANG8EKMjo6ErtITEjixqXfx0KJxTQaczPBgdzQvVV2ewWrEBoiSUsSaRC7vQCQoGOtiKm1QKCdEco1l0AoVvwovkgaBno3CriCfkSI3J3pKRwBA572bhdGRUYELrJq/RUv14e/vgFHB8FPWq77uqxAVKq17MpdwxNq5/F5/hQkQZLYHRClPLxmrhZyzTY6Xgz3S4eq8FxvhM93cm719xA3SqkxPec74aHx3LiXCg8rHel3i7dWUfx0NgNZ6DISPwDBjyowdKOM062t5cs6YK2VEWhxaY6qCEhQD4WhjwEyxDnSIC6Bu718giKdxKDe534uw+QmRd9XGY1DF4L9zoIiEDl0rjGY1PWaZ/F4YqTpcKFA5BleX1HG9IkbBc0KmqfIVqXNRd5kxGS7hQOUUuY9SHoyMDJCpAG68f4UWxiDwtpFp2Ip1r4UXJ/bzhQMlrwSAEVoGjtFyAN4RnIyxLrwtfaQbT4fUjd8gHqjyltscC3FQf5nhSCtPIuimMdQWrAuRliAQ4aw4tmzBapOwVlolsqf0L3D5issc7I6f2/LKEX2tvPLUPXcGtzzsDtILHuiy7XsPvSsWbyugcb6ih4ZPVL7fL0t893iZn9Ly8huEUMAaGRl1NdVVUKyEt2D1jpcr9JNgLPfzsFReV7g99oBYYV3J3Ndc7EFaXqqEnyQyZAjJSOUo2RujJNefPYBBmrD6ccdXd/hThDgtuim6rU7NBJ7ilBdEYUbob/hCaO14RF5G6LZcBOvihYlArpJLhUUW5snp6n0BvRwTE6Ci0WDhkmPZNsD0AtkTThB0ddwgIVuZQYZi4MxgBl0mDQe68EYWYqrTnJikQpzK5627OA+A0hsgpAC4GJiu0iq5zOJIIio7vI9yHchbXrBCD7JoHKhUvYwTeVBx61ry+h6ld6+I8dNlQnuwcEXFr5kl0gTD6qjjnc093nHH4JbyqbfPpfvyyv+95A3SKp1QLRwWOYi+faDhy4szPSJVjKZZxiHPzxftoo8V6eBgPRws3xpxaEyVjoyJUhSov30JanQv80Qv7yKnwZrAOT3gHY242byOj0xR9TlkFrZjbW8JIbSAOhmHKInuRosI8h8fjIVdYVV1tVfTNiXEf0DYUnCoUKo7usvnBrXTZSFiGbqApr9YKsIylSVRZVYEXo24TJRmLI+dy+C8Z2L2scxkqGfxTqntSelwZKm5OUN6l9DFIKjtRCl+LH7DeSxFCMlcfcF+hZqDpAue5lMtRDs+GR6pVk0cjEFqM6DRfvuspT3GrQH5lqvT3k99ynCG9V+fsm/UfsYcm2+z2oY9bZOqnjtQZFMX01z5v3prrjviIpf6xJAD/BDvzaP3sLjQn2OZsvvS8ATqNsy3Vv5MZoHygyjGkr5v8x9P4hMXfIpzkr35Seu1JQix5YbPc5AHt4KKsbNMf/YrZC7pPvMAX27uyVUPTeDgoFLZ0NSG1USQLT0vlSTqCJqfh08FBor97bRziXxSRMVeawKIeITuGccljcNLRTksn1rsCz1B6wKIzvVYfi2KkapDrAPjMYfCQz7BCBUqAGCVCOQtxWyCAJU9JZE8ZelXO6/60B56JIwsKIFZtlrwXpdHl+cnokuYOEIYKeC7u+zmGGIVCMKKAwGd5iosNzVtZNJ/qeXGLhEFRmuE/9BUMMPsGK0J53vb3jVls8J/t1cGMbZ68w8bCPXCfQtYVmzbvO79n9o47MITs5xTHmRog67ziFD9xZTc/k693ZWd2Hu99Y6vZD549+QSfrLrVLk191+LzJ3GXTr4rt4UWpsI/dXOQsdFjRS7i2dSxjiWOVV99asbHcXrwqjIYN4VE7XhSerx3IgAwnIAGkXD4bD1dQWMUajqMiAU3hwJhlqt5hlgpn+IRqf+gP0IEF8QDq7ZK0vvhQGNJuVApcIUrwmvAoFyTQCkfysXRIJOl10fzpPhzlfSWj9H6WL3DSi+f8f/CYhQicXOqjgimYKcAACQLSURBVA4v4mRCLZAUR6CRDBnz8qf7sH4PMc9txJXQD5TGl0e12NAxCZTWDcqDwHwfDpb2M0eXkN20Hmr2Bqw5s93SMOVD/qwLmWfDNVZBGyN/3y9KhmyxfZ/guTMKwXQRQIHyfBrPG6DT+DY28DtTaKO08YlGEcbyQ/HX2k2Tf3+izZb8mrwBrVnxMsuLU63P9aNUfZDmtNQrpOYuIuIYno/eIya0MCW1oxb+Ir0ZYS/KVJeOtdLSyJ2m5lstDU2iMJ+yIJhGLJCyeAI1xmDeGUAPzo7RR8sHDyryITIsAEMl70P6zfIuxC3C6xFXSezgedreDE9kLZ2atuYYNW1a88MwwHmvNJ99vKSSt0TsdqZDGSqFUtwUPnllvEjYUSXhGTQEXyTFgSdKsrbMNYAxWqxeSoC6DHgWblQ02EjNGZIhuKVF2lJzCi2AMFqOLGKlYbChNRRVTqP581nueE7jWJQhPO3RtOH4BvW0d3pmb3zeAJ3G+dPilESFAN+Tja3VN9kLp7+BUiCu+hkO4SEKS3YQ+Qjnkf6yDBEdkF0q+8pus9XM62RDYY6YzMqWqfhVDsIAf6MXZnVVpX0rEyUvS6GZiJfysmS0ZKyqcLWaa+sIxbiyS5IW+VFVuTvvCKPiShiKuGJ6Lc/fhCRa7E7rWSCw0uT1Pa7MoRBtsH2ZBstiWzrb+PwI26nlDWL0Eg9zYRM8HfbE/jhYGbRDhglMxxk4nj+N4TpuKGOl1LkyXoRTjiktIxSpoXaM3l2IpBXhFM0leixfu8FmKGx1RgfDU+Yp6fwl1r7G6p/+EgWvqzDYs/ai8NN2Z/UrrFC3wW7f+V66ZoS4SFRYhBS/ocLob3x5yRidbN7uwA9vVL7wHH5m6Y+81s1L3/gsbfm8ATrNEy2h+qUYoCLJ+Mfjt9uLp758mp90+G3yRN4NdvmVB7hQ880p1Z5hIUij5+0vMnvT5SVjcvgdRz5SNkaGZzSNl8PjCgypQGunalgH5wayoDJWEvSSkdL2WlyVGCOVbAg8lsE6crBBuXwC/MP1zCqn+VnUTjZDV3xDbzlGbKe2xsijFvfst7l9j9hwoId2x2tsbVu9VcawfjQhdIYBqiN7Lg1RBzBsai3twjfxf6TtzBB9QNs7jSF5WGJv0yL5lLk4LuOFvhClP3maL+ZT4zbLfguFtM1NUukujlQEXaYEADZlGXFUEmOcEycdxHn02q/FcgfMf/bf3byiN7zbLk/cal9/1LM71v6dvXrojy0RxuPqvNm8l//3pXsiR9nWMwnBvOZNbm7n03/PG6DT/Da2dJj9+5NLe/OzVTfZi6a/fspyHYvtXT/Ad1y92CvHf05hmxryyWAKyJahEUlQN4VuupLL05GchraVl6P0uKRTZZxO5arrijQPZozYm/MsXBGojBIhiWNYAwBncKmmRoYtmn/W2vLbLIAOkX+wONRhNeLZlPEXAcLcXPcKDtMZJvXTUssevKWSYcKwge24z9SpEN4ByF0K32SUOJjy/vQ6QyC+vBkZYeFqpXuMCMYPgIZC94JVxZIYmkaLzaIrPdNvodzjyLgy38Z1pPAvwCixbXn0QH7kVh4bePCnr9Bf13H7Tz049bFcHpC8R4WS59l43gCd5heyFrhAHsHx6sIW7lYZsV2xq8+JdKvkU7cO49XgjGi+PY0YHX3rrGJVpssbkmclQyMNHxEBBWYvz2DHAp65eeC/TlkQQzRGKj9J2FZN+XxjrJXVT+ijcGeIrBKERr+yloUdp6yi3oHHJfaxvCP2Vx7KnOF5Oe/r4HOSw1AfMU8YlMvScYB5vJcUGkEYmzwYTM6LIWlSCYBO5o5bMYjHxQlQJlHGWMeve3l6ISdnAuBn3BRazvSADw1xMsG3JKA//BShJHhW6xasOj+IhfMrz3MZ73X0+q5OZ7hiW5WHnGdj2X5q59lxrfh09Du4tNPs3l1L+6htldefNQOkxTaGYVFqfgQDJK9pFWtZRoayMHeTkXFEQH6Tev50f9hLO/rSVlrsB0RiDDVbc8+8tUSZnBjZeTAXwioPxrHS5R5uml+BZ6PUuSwl3ovzfoQdKZMlo7ZYmlwGgBY8eZQJsnTlUNY/yy2Xy5OcygKaq0CXUhQ/aTUQJ3UOoj7GB/2pQJTPIHw7FMrJY1g45EE5kXxi7wZS9QDVIh0WFZoNPI0h6oJ1fSWAHK5xyUdb+O5leXwqnugxH9iw7pinzocnnjdAZ/AtXNG9dAPUH73Q8oG4RZeZmLhw+gqvFEqJxCeiooxKE9FHM2tW2RNd1YXl6Cq/1GzZwv2fyWNhTpqXgG0ROWtjTMjwdMTMZYjgp8p1V9eFAJilKauADOlEycCQpA3kcVPPdR9+TwDWszpuZDmnklwtA8O6L2cnXXaQY66riYLVwEeizc4h704FqOXwTYB3HiBdPCGGoh6HK4EluaJVYUvyHmT0hDm5MgxAasTRXLNFjJA/stXmH93JyW2xoLg2Cs8W8Jvcjs/wvzMyQE3PG6AzPP3n39svbGN94D2Um9SdaIZFCkT3Uah6un3EhOF86i6jDTJRCevgz8AWREL88VYqzzE8XaxjhYXaTgtIFeg9wBPKagnzkZezwhHCcQ9f56cX2g320DGbdc6OGQ48ZqGrIr/lwlKbnjEWtETJSGPPh6vpeFpl+ZxvhXTGClDCZ+dRGQxV0Scs7uRBolUJq6mKWwVcJBnbExpZpeMXsMA1NxDog2A3BokMnEJGn+6r7nm9LhwKT8jRA9x88ZrKrOvV17qC3mL/YzYHEB34xedxvfgylFGDeuDtuItjosg1AOdp7fXmXf42AOkXaK9LHspSnu5whbOn++YVfN/zHtAZnFxdYa/oMrtniWFYX8Xm0zJAyky97cslQ6c2ykqJv+trpf5cqvcSf2cH62SAiOZXuPD+/+1dCZAUZZZ+WdDN3chNy9nY3Agogs6ojDdMeODGrhrKok54ICHhuo7hBqGGKB676y0aoRvuxCiBqzuoq2gwEOquoa6Kw+jgGOAqyH0qhxwNNHTt972sLKq7q6sruyqrMrvei6iurqzM///zZeWX735MmKU9J+MNmMN5+zl0D+5jGrcpeTB0IZs1HalrKzXl/aSmVz850nGfHP0Rrvvd21DZFFIKvFVlqDPeDgjTpU2dlMcOI+DxAIIgYeiqAbLB/e/UAn0hpTDwUd302S6YapcXPQ3gVqJVnkm69MIxLICSGiSlOErWKmlogBvVzd5lMXjIYu89CEP1SkhquFjMDUMiK21VcYQl0E7lfP8+JLqd4pzzWzAmexBK1OVz5/Xzl9Ibyo6EkQyAcrwqvxiSPQBtKx/eotne+grgg3uAYEMVhl0gaPxG8wpNQkUpZE3WZATzBAAiPVhhIAY6MmmWtiZ2yGhoZ6KqxPOhB4og66lRqSpUexilOwwch3Y5Q6Tdoa1SjnKz7DKh9hpKLEyDQFkRUpx1mBnlzMRRVuJhECPtRQAj13YEo3VD244emeGP2pVwA+MmrlfGg4GLMHazaqQCE/Ln5BgKojE8AFUQnf6wB9XiguyAnQiSUxtWHqC6ScmLGfNAk7qVr4tMzB6AWqyCqfcrB/EpA3ty/coAKEcODu8D7yaelowobo52lfVHPWf8GOO423zQQdykXk4Ub2JKEfTaUBVjpw4CD//fiTXQ1lJsIoDQBsUSrJTYWGaDhnGqYgQaz+VN8KGAQeL5MaaGVScZd8TzqS8t4QsWP6Naw1pEuPE1z4tlUWnPwXZNFIUtBxs0BlLBgbFIzP+iERkNB7V8BwzZKh2xt1dLiS59vghu3hgsBMe60UzPoL0IMUUEyhi9cwgbcAg+3t78jmqeD2qpChbG+B/vtA2APE608J0PyDOrRd76S/MDsGIiu6n2rF3f/M4pe5wJKev3n7pSEKplaMQygYh2DhK7UNDAywLvlDaKSQxeZDoHi4z1gEmH5TdWQT3kdhJvVoIL185obrq8CTxZP90TBmCVdAgsLERGVatHlTs6AYqvIwhWVDBC7hknpsSCjH4t00EgoC2HbnxPOmJJjVyNZOw7z8qVUHfirKHdBYXf0AtNtnzl2o4AOgqOulIgL2xdfqihBJn1sSEMQPTWbgDkcSKH98lDEZQIAEo8zDOOtLdtX98ARCnr7l+LPLzElSB4n0yHhM/AOaZjUFJgftqNZzZWczIuJscveb4ayAeQoWTDGkQ/wNhMaYf94ynhdIAmxEhtL7aGtqBc73NdNl3yeCmgsBAYKhdqwinTKliKA9KIgyL0dPNrmghUIOaeUSphyyKHyaeUjghglI6grnnSUZNu/iz45UDyiZ/1D+Ism6uG9Dh6l8U5N8MNKKVRMoLB2hl6PtSv3yCmKItBE7tkDdKpQ7I6JouvhZQMgPJwYfgkH9sf/bU2NT/YPiQttoSmjBQ5FXOsww+Wni0tQAYEoI2FKg9VnRb9QLNcDBMvPdXJs9mkqlAEQ61cCF4Mw/3PoMf6KlSWE/ncTYuQsUKhdlslEMH+ggJkcXrTaHMhUHFM2IocAICCEeOLCD6MpiYaUhWCPadObTO4YRWQPOkI+iOlIx+kwHjJo8iu34InAjxnFVgLS7uyPRCN3GyqyO6uPqlFRmiUF0mXSOtz6sB2NwDKE2vPG5YdAB1o073FM9I+wpdHvHfo7co3UV1SkAGoeGCTVKEwJ6UYqlCayoH3vbDFMtJ6BIAnnbE53+trNB4ZwXrMrIiIYmGazV6z2i1WT4mIthqCCG9+fmZumapqkEoARpqIygRYDtwGJ8dmggAoty8ZkJQGaFX9INaxjhBVrWZIJR22+vEIZVs5vs7hbfP53hIbkHPieJ+zFHZ3A6A88Zu5YWw7w9SGTFTTJgDEyDRhhu9oAFYvFO9HvDwDMaUdEiUq2mdoV/KSLmm/8W4iSl4bYGxmbWcamimFFZewMvYAgxFYKyAycJEeMS0Wj5QPTa3giUEq8Wr5UHGGrUiz4FVC2uN6toi4YEAcYBVrA9sR88wITpSOygBkCVuUfg7ypD1mc9m4Hr6p3ym+DynkAQZAeeI2H8LnjxB59U+ZBzyE5nrFIE28TEg0yeRLgE4Ca1RdolTD4u+ekdjzvKVbL+9PGr6ZyDoIgkexjd/11ghXu5ZkZVIseoVRkqGtSAvF0z6k3ijvCFw4xBbpi6kWTJildAR1Cc3IcIK0HcHVDth1EJ/kHIXtCLaltNIRx/Hr5veW0dS7d4HwvW8JiHWyEa0dZjIAyuPVoTH6za9cqaKpYQ8hmtcvsRLi4r+6XjB2MT0TjhYCnhpVf/gYE8K4ydD/PqN1aFWhEhKNJ9mk1q6hCkWJhsXGPMmGQZXZEgMh1wN8uAZGX3veuGyPL9h+TIWgLYhARBBiXWjG6VBKIhClU6Xomuf3eEmimyoN2fS6aVlX2osYf0RjMoqvsaBanPWgqeZRwoKtad3aTbKztjOy6LvJ6C5bJUZjOaKfGcCoHjEyrv9pkMyA3D7Irw3IGTjJvUg+5ij0rgZAeeQ4b8SzqkXeX930oIeRt+SH/rxB5M433fgeYsTrALhfw3t7zxTU2Fk6F4Fvu+UYbpr4F6/KzyOvkR8H/416oTiHuupxXzAw0atdQ+mmxe5cjElDM1vl0KtFyacQhmaeS05EiYd9vdh+iF4vttBRIOoNcALQNJWzRUkqpZuqxh7Rs0YjNo9nECSjoyn1EJD2bJa1H74p22p7yIm130mX2i3yl4rTZVwlxJgvF6ptKQbVTUvRfvkfIhfci9MakvnUUiUg/gD8EHqjhZ0MgPJ8hS6AIPLBt3g4pvxwUqc4gg4S2RKTS5/+b/xu8cDVYD6oPZQ+PvxeZOqh16TqwH6kKgxE0F0dCqn3lg5rlqI56AQp7zFQ2uF+oKTTkCgRtZSYZ8Yse6pbzDWjpMVXdAgM6YBi8uiw6gCInF0Ao92QiiANxZGz1bz6BJGxHV+Qnjqj5TMy+F1VDfWgAWo1y9+Q/zs8WHq32y8Vh3/UxpCdDm6S9YfHyaBNSyBRDUa7ngFA7fY4DjELX/y7yClzwT5crKYIwpJHvlQwql8+44y8eQr5nuYnWsjpW99c9ErRIL1yU/pzO4Ts7c8rrtIv+zfj3tVaQ/gBMtCQgLYf4MMbXiOKcfPUoD87H4plLAhfh4xx/Khrt62SfXWdtFMFi3Hhrkq/EB9bGTqzDfcaI657wMxBKWoN7tvoEsQ3GQjW9JHyA8gx24Xi9LEdcqxjXzlKF3lWPOOtA/c/X20HSVnZRuSl9ZajMFDXHdujibPHUBqkEzLt96D+EKO2adBW+xIBiPYiqIXd2h2S355fJoM4bRqi2uV5Ov3Ug3aqzsZouV/7NEvK6yYDoLyy0x3sQkhBTQEQu0ksr7hCd/xb3gcZyCuBSk8Vs9mpSrGeDwGhctAAOXEPRKEKPJGP4cddWyaxnzZJh+5Ah7IN7qhHkTWlXht6brCfV1bCh6GUtqP1ULno4WMcUhdiWqshMFQGQb+FRIM+YU7NRiD9dol3hseM9hnaarIi7Nejt+w/AWVaaxDvXt5dYrUOjMYo7xovk47MLdmHW41xSUwdATAwHomjn4CL/I/nNz0J9/EAqOm9Gn/jnHRO440h3GIAFMBFGV3p/miosuRCLKMxa7LIHYvcWs5UqaiOXTQKwX7nXCay5DNkia/Rp6tG/J46XdqPOM8NsGPULzO3+aKtggZQSP28qRxKRuzJlSgpoa7kNKBEdY81pMvwFB6Gc6Lk0yqJEkmHKvAKGe8MHjwAAD+83Y0ZYpBjNoQx2p37GznpD/8s6/d30VY83Q+ule3dzpJTYpCwBk2Cygb9lVHbGI95a85F97m2o2zG97GPlt4IafZ7w9MwAGrIkTx85oOTLvmFy3MfbBzUuZeuE3nna1f1YvkPGrodVP2TSx8Th509YRh1EPGa1PlpVPVcy4kl0E7kAhJuMtof+GLXUOp2XDCD7VRaoqTUQXahR9fmfW00MZTqgR8vWe5nXaQRcP4Oc7kI2OycumsdeLIdUibRF0avZigGm0vVdf8qzl+/gq0sJoc6dpSxFT8C3KAqD/4lxoXBGm2bwW0UsR+v3rZmhmzZ19V4CEWEDIACulB0lS/6M+5zqDC5Evtz3UKVviHRu4MfG3/QzRIlHK+GMj0/JICSFt5KSEt067Pb54/74lovumfn9tKnJ27KgwAlVeEgNaVzXbujtZ6/jJhmCVPGAO3dijDvtXr+GkXNAMQM5MDtX/WLqVKVbh94K51hF6b7Jn/bCKItbPucv0VkP5IBUPa88rUnXfJn4Ff44Xe+DivszgAlJ0VSonq3YVccrX4OSmV3VFVGN1SWLWVAHgpKuGtjnIwnKQGUtMFevcC+wp5CoLMBsClZokePWwLkpzUAcaZznOhKmIFO3rLBnSG/Umm2ZUcX/igDoAB5/iv8dkMNQCnnTmMzI5uP1jkysG8n1I1OCRegmgZvjnaG0MRNSEqJUqUKSwjCYwfTpKGbANWaQAnlPjQJj0XHqJqxVCyBG+U2FMBT+Fj0f4ddVPQl+FmAAZAfbvnctwqhJSwYxsC9MBPjjRhtTZcvy7k2MjbTRqQGa4AM8qpILC2qbXaottFmQjWuXv1kty9X8jiCEoP1IkzJoERWXWQtIgBRHCqZqmbkD4mpHOw5zyz4E+A2LCA5iIR3usFIGCEyAAr4Yv1yiMh/rgh4khyGZxdU1hSip9iXsVlBCaBCm0NKSoECkWdTovp2eIfrleMaCUAN1TemMESNWOKDRmkmutKrlahFFEf/d/n0Oa1DpG2GKk+W+Nm3I74RToGWkoqY2R3sjJia3Y4h2ssAKOCLQTvQH2CMpsAQJuJ6tiYim7tD22IBMWJKruR60gBM6MuVJOZLEYy8sADmZKFgmLKEqhpBKaHCqSoXBVAiswi8dNOjp7zsXi/O/zyGuCu49LsN1lyzuo3LJbb6jyKjLk6ywvc/2V4TrmXAJN/DF/sAA6CArwBr5gztja4V2wOeyMfwLLdBlYuqF1MqGGQYKNHFj5cbOZyYiapKQlIiMGmcEjpNKCixih9THjy1jwBF43cYCUCkya6UhnTNQHMCEgMOew4Do/83NwDK8pwd2n5ykbSynCffuxkA5ZujacZj7E5YAIhhATQ20+PFNjlF66BBQOGL0cEgfdBrpwlISoyXgV1J45SOJZCbNxfVPQ+UGEipoJaG4cXYRKmNAZ7MomdBMxLf2xbA7kXADtq9755R3v8aAOWdpY0HPGWAyCtfNN5e6C3MLaPkg7ZaWtI1XbJqoddUbz7exHzBvuJpHnGCUor6pgXGkEOlxNgmAlIiqlvVP4JSPnTJegvL4gOqH8b7jkHo+AqUg0XmPb2F6CMfP/efkueSxSgt22XQGVkFSrZs8GCPMgAKlr86Oot8Fdsbxix22nyYUzYQ5oKoRDY7BCStaA9d0SMmdSYN3bjR6R6HXclV3whKkET05YKTpp4UAJScM26W+PLfof7zKm2g6Ey+w63T5K07oPfY8CkBjRz8sAZAwfNYZxiD2LViuONpbKaXi94utu05MU/G5gKxLf009KbxRRe4twd7gxGUNE4JoITgQa3Zg+9ZzVDVNxq61didAKjjR3uj5PbOwM7Tb9QxkuvKbcRmj3a69ketllHN7hfWHQyACnRlRiHB+o/fFGiyxDRsj0OVi0mlBB5KYq2W6E1jwCBfCXLYKDBVfWNEMwuJkWg8zjIp1z2gSH9VrMswd0RtP94ZGQB5nAj4na1qWFScxt9CUNLYjHtwMFQulvYoOWLeWkqqiUolaMWj/d0hLWkeHJNyWSmARDWNNqSE+qZpJrQx0dZULMokSgF0nSGTi7WyvMxbMADavXu3rFixQkaPHi2VlZVNLv7bb7+V9evXy6mnnio9eyIst5UQDb4sYbo28QAO8rR+hrGZrZFp56mGNzh0xuYgT765seFN0waEKZKS1nhmKEBSWoIqB7e6lk7leB4oJdQ39cSFweU9YGI9ia+5Uw/j9wUBoLfeeksWLVokkydP1vcRI0bI7bff3ogfTz75pHzzzTcydOhQee6552T+/PkycODARvtFdQObCeYbgGjbef1L187DmKNp4xCcCwBiLSEam32V8YwqY3NdNyUcJp6yWoBHWr4EQJQ0duN/Fp+HUU21okRSrvan9zxxaSoF1G34k8g3/4Xi9eg71m+8xE+ZDkErPxJVrPpcb7WRfQ8cgI4dOyYLFiyQRx99VKqqqmT69Oly5ZVXynXXXSfduiGKNEHr1q2Tjz76SAEqhqSkV199VRYuXChz5szxdon8OztIyKr8nQZLsz6yFPcONA1GMxPc/mUZCpid76pdBXD85O9kwjaSghKYmiib62pCgB4FJICRxipBaqIHzoUk2JSA+knvW0ep2/q1xD7/N6mrYB3qzhL//kPk0GGkCX+f+9myLEglnjYRp8ABqA2CTl566SXp1AkXE3To0CHZv3+/EJhSae3atTJ27FgkRLpPB6pg7777buousmXLFnn55Zd1GwGrfftoGTYY+JdP+niN+9OncXkP7gmWAKGNaSse1EMJdkZ55gDAwwuEZLNDjk6JiJUCoL55tiUvKdf55Fmpa4eYJn5PwOg+WJwNn0p8+EXaoSOXxTkscBYGNTCXk8CxgQMQ1+eBTx2KGT/99NMyderURvadrVu3SteuXZOnU1FRIT/9lDAOJrbu3btXli3DIx5UU1Mj5eWIEYkQMeXhoWnHF8wC76SLTxY5bRB+oz6vBktoeG1xOoIVfLFbabQ6Vbg8iOxfetM8UJLEE4axD8h/q2PCKiUoqnMJtQvfoMEhLlwGit3yQTJCnAXgnGlPNdo7NQG40ZcR2uDzJ9/yMzt8+LA88MADati7++67Gw1ESSlVKjp69Kh06IB4jRQaOXKkfPABLg5o6dKlCmQpX4f+X6pEdIc3pAoIcnz5JdaefvtrxPcwvAVq2BEIlbT/0ONmVEQO8EJDFXPYjBD2H+kzxl3M3k2uiqaF6Zten9Ozut6XGutTb0vr+ZAfa1gz/Dh48KDceeed0qVLF5k3b15ayaVXr16yaxeCVhLE/zN5y7z9Svmd9YauP8MtHM9I5/0An1smIyn6uGmtlNlT9HN3xv6dSO+R4iBTPr4PibZsjjjlfqhOBXvuF50HzS2gIJy47777ZPjw4TJ79uxG66Etp2/fvjJx4kRVzzZu3KjAs3jxYpk0aVKj/W1DfQ6w3hAlIbreT4DAWJLxPvVZEp5PjNO58D7Uld4sMZYfQQXFqBdlyzdzA5eAVq1aJZ999pm89tpr6oanK56vlStX6rnMmjVLGPtDm8/NN98sN954o8yYMUP27dsn11xzTb7Pt1WOx06llHoMfMJ5eZ2u/fB0QAfbiFeEDIK7qKxJi1l4qLa2Vmgv6tw5YaFtYmmeDei7776T6ur6OnMTh9hm44BxIGQcKIgK5uecy8rK0Oa2ADVU/CzK9jUOGAcC4UDgKlggq7ZBjQPGgVbBAQOgVnEZ7SSMA9HkgAFQNK+brdo40Co4EDobkF+uzpw5Mxlp7fdY2984YBwIlgOnn366pAs89maNLABNmTJFnn32WXn77bfVa+adUKm879y5UyPHGUNlFF4O8Doxqr9Ug2rp1c5EoXPDZ1qsfXecAyxnsmPHDnnllVeOb7T/QseBu+66S5hozXI0Ro05YDagxjyxLcYB40CBOBBZFaxA/AntNOPHj5eff/45tOuzhbkcYImZPn0sO7ip34OpYE1xxrYbB4wDgXPAVLDAWWwTGAeMA01xwACoKc6EcDtz5BoSq0t+8sknDTfb5yJyoOF1YkOG9957T1h0z6g+BwyA6vMjtJ/oyr322mvrrY/lbefOnSss+m8UDg40vE68Nrfddpv88MMPcv/998tTTzWubhiOlRdnFQZAxeG771n37NmjT1A+TUl07V5//fVatsT3YHZAYBxIvU5eQwZWAr3pppvkiSeeUEnIu4aBLSJCAxsAReRisRg/K6c89NBDGtjGKpOMML366qsjcgalsczU68TrxYYM7AZDaqohQ2lwJv1ZGgCl50vott56663aMeSxxx6Ttm3bypgxY+Tkk1HN3ihUHGh4nbJpyBCqEyjwYgyACsxwm670OECj9L333itMS7jjjjtKjwEZztgAKANz7CvjQK4cyKYhQ65zRPl4i4SOyNWj2kXiU9QqRob3ojW8TpkaMoT3LAq3MpOACsfrnGZi3zSG9U+bNq1e+6KcBrWD886B1Ov0+eefZ2zIkPfJIzigpWJE7KLRkxK1ltQRY3FelmvXKTs2GgBlxyfbyzhgHAiAA6aCBcBUG9I4YBzIjgMGQNnxyfYyDhgHAuCAAVAATLUhjQPGgew4YACUHZ9sL+OAcSAADhgABcBUG/I4B7yqjUzMZDY4s8KNjAMeBwyAPE7Ye945MHv2bHnmmWd0XALQgw8+aACUdy5He0ADoGhfv1CvnoF4HpWXl2sU93nnnedtsnfjgBgA2Y8gEA48/vjjsm7dOi2W9sgjj2gJEdbEWb16tc7Hnm7Lli2TF154QS677DKZNWuW1jjiMcwov+KKKxq1sqE6d88998jUqVNlxowZ8v777weydhu0cBwwACocr0tqphEjRmjH2n79+smoUaOkrq5OXnzxRdm8ebPyYenSpXLDDTfI4sWL5YILLpCPP/5YLr30Urn88suloqJCePxVV10lK1as0P0PHDggEyZMkCVLlmg6CnOuLr74YlmwYEFJ8bXVnSyKJhkZBwLhwGmnnRafN2+ejo2SFHHcPHHURtbPl1xySXz48OFxJNfq5zfeeEO/R9XA5FrOPvvsOMpY6OeHH344jto6cVQcTH7PbWh5Ewe4JbfZP9HigGXDt7pHSnROaNy4cVpcjSs+6aSTdOFUrzzq1auXbNu2TT8uX75c2Iaa6pxHlKa2b98umzZtkgEDBnib7T1CHDAAitDFam1L7dGjR6NTovqVjlhHuWPHjloV0vueoDNnzpx627zv7D0aHDAAisZ1KvlVVldXq9GarvxYzDVdrlmzRlsSUVIyiiYHzAgdzesWiVVTwlm1alVe+mHNnDlTVS0GM1IaYo+t6dOnyzvvvCN08RtFkwMGQNG8bpFYNT1aixYtkkmTJuW83okTJ8rChQvl+eefl8rKSvWS0cM2f/78nMe2AYrHAasHVDzel8TMR44c0Rgg2m/yRTQ+U+0yySdfHC3eOAZAxeO9zWwcKHkOmApW8j8BY4BxoHgcMAAqHu9tZuNAyXPAAKjkfwLGAONA8ThgAFQ83tvMxoGS54ABUMn/BIwBxoHiccAAqHi8t5mNAyXPAQOgkv8JGAOMA8XjgAFQ8XhvMxsHSp4D/w/nX+K0E9f6/QAAAABJRU5ErkJggg==" /><!-- --></p>
<p>We can start to combine aspects, for example here is three timepoints
with subjects connected, special flanking and a covariate mapped!</p>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris.long, <span class="fu">aes</span>(time, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb15-2"><a href="#cb15-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, <span class="at">rain.side =</span> <span class="st">'f'</span>, <span class="at">id.long.var =</span> <span class="st">"id"</span>, <span class="at">cov =</span> <span class="st">"Sepal.Length"</span>,</span>
<span id="cb15-3"><a href="#cb15-3" tabindex="-1"></a> <span class="at">boxplot.args =</span> <span class="fu">list</span>(<span class="at">outlier.shape =</span> <span class="cn">NA</span>, <span class="at">alpha =</span> .<span class="dv">8</span>),</span>
<span id="cb15-4"><a href="#cb15-4" tabindex="-1"></a> <span class="at">violin.args =</span> <span class="fu">list</span>(<span class="at">alpha =</span> .<span class="dv">8</span>, <span class="at">color =</span> <span class="cn">NA</span>),</span>
<span id="cb15-5"><a href="#cb15-5" tabindex="-1"></a> <span class="at">boxplot.args.pos =</span> <span class="fu">list</span>(<span class="at">width =</span> .<span class="dv">1</span>,</span>
<span id="cb15-6"><a href="#cb15-6" tabindex="-1"></a> <span class="at">position =</span> ggpp<span class="sc">::</span><span class="fu">position_dodgenudge</span>(<span class="at">width =</span> .<span class="dv">1</span>,</span>
<span id="cb15-7"><a href="#cb15-7" tabindex="-1"></a> <span class="at">x =</span> <span class="fu">c</span>(<span class="sc">-</span>.<span class="dv">13</span>, <span class="sc">-</span>.<span class="dv">13</span>, <span class="co"># t1 old, t1 young</span></span>
<span id="cb15-8"><a href="#cb15-8" tabindex="-1"></a> <span class="sc">-</span>.<span class="dv">13</span>, .<span class="dv">13</span>, </span>
<span id="cb15-9"><a href="#cb15-9" tabindex="-1"></a> .<span class="dv">13</span>, .<span class="dv">13</span>))),</span>
<span id="cb15-10"><a href="#cb15-10" tabindex="-1"></a> <span class="at">violin.args.pos =</span> <span class="fu">list</span>(<span class="at">width =</span> .<span class="dv">7</span>,</span>
<span id="cb15-11"><a href="#cb15-11" tabindex="-1"></a> <span class="at">position =</span> <span class="fu">position_nudge</span>(<span class="at">x =</span> <span class="fu">c</span>(<span class="fu">rep</span>(<span class="sc">-</span>.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>), <span class="fu">rep</span>(<span class="sc">-</span>.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>),<span class="co"># t1</span></span>
<span id="cb15-12"><a href="#cb15-12" tabindex="-1"></a> <span class="fu">rep</span>(<span class="sc">-</span>.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>), <span class="fu">rep</span>(.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>), <span class="co"># t2</span></span>
<span id="cb15-13"><a href="#cb15-13" tabindex="-1"></a> <span class="fu">rep</span>(.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>), <span class="fu">rep</span>(.<span class="dv">2</span>, <span class="dv">256</span><span class="sc">*</span><span class="dv">2</span>))))) <span class="sc">+</span></span>
<span id="cb15-14"><a href="#cb15-14" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb15-15"><a href="#cb15-15" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb15-16"><a href="#cb15-16" tabindex="-1"></a> <span class="fu">scale_color_viridis_c</span>(<span class="at">option =</span> <span class="st">"A"</span>, <span class="at">direction =</span> <span class="sc">-</span><span class="dv">1</span>) <span class="sc">+</span></span>
<span id="cb15-17"><a href="#cb15-17" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span>
<span id="cb15-18"><a href="#cb15-18" tabindex="-1"></a><span class="co">#> Warning: Duplicated aesthetics after name standardisation: alpha</span></span></code></pre></div>
<p><img 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" /><!-- --></p>
<p>Lastly, we can add a mean trend line using <code>stat_summary</code>.
Accentuating the opposite effects fertilizers had on the two species of
flowers!</p>
<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris.long[iris.long<span class="sc">$</span>time <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">'t1'</span>, <span class="st">'t2'</span>),], <span class="fu">aes</span>(time, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb16-2"><a href="#cb16-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, <span class="at">rain.side =</span> <span class="st">'f2x2'</span>) <span class="sc">+</span></span>
<span id="cb16-3"><a href="#cb16-3" tabindex="-1"></a> <span class="fu">theme_classic</span>() <span class="sc">+</span></span>
<span id="cb16-4"><a href="#cb16-4" tabindex="-1"></a> <span class="fu">stat_summary</span>(<span class="at">fun =</span> mean, <span class="at">geom =</span> <span class="st">"line"</span>, <span class="fu">aes</span>(<span class="at">group =</span> Species, <span class="at">color =</span> Species)) <span class="sc">+</span></span>
<span id="cb16-5"><a href="#cb16-5" tabindex="-1"></a> <span class="fu">stat_summary</span>(<span class="at">fun =</span> mean, <span class="at">geom =</span> <span class="st">"point"</span>,</span>
<span id="cb16-6"><a href="#cb16-6" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">group =</span> Species, <span class="at">color =</span> Species)) <span class="sc">+</span></span>
<span id="cb16-7"><a href="#cb16-7" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb16-8"><a href="#cb16-8" tabindex="-1"></a> <span class="fu">scale_color_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"dodgerblue"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb16-9"><a href="#cb16-9" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="st">'none'</span>, <span class="at">color =</span> <span class="st">'none'</span>)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>Here is some sample code on how to do a significance test on a 1-by-1
flanking raincloud with the package <code>ggsignif</code>. We will not
run it as we don’t want to add <code>ggsignif</code> as a package
dependency.</p>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" tabindex="-1"></a><span class="fu">ggplot</span>(iris.long[iris.long<span class="sc">$</span>Species <span class="sc">==</span> <span class="st">'versicolor'</span> <span class="sc">&</span> iris.long<span class="sc">$</span>time <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">'t1'</span>, <span class="st">'t2'</span>),], <span class="fu">aes</span>(time, Sepal.Width, <span class="at">fill =</span> Species)) <span class="sc">+</span></span>
<span id="cb17-2"><a href="#cb17-2" tabindex="-1"></a> <span class="fu">geom_rain</span>(<span class="at">alpha =</span> .<span class="dv">5</span>, <span class="at">rain.side =</span> <span class="st">'f1x1'</span>) <span class="sc">+</span></span>
<span id="cb17-3"><a href="#cb17-3" tabindex="-1"></a> ggsignif<span class="sc">::</span><span class="fu">geom_signif</span>(</span>
<span id="cb17-4"><a href="#cb17-4" tabindex="-1"></a> <span class="at">comparisons =</span> <span class="fu">list</span>(<span class="fu">c</span>(<span class="st">"t1"</span>, <span class="st">"t2"</span>)),</span>
<span id="cb17-5"><a href="#cb17-5" tabindex="-1"></a> <span class="at">map_signif_level =</span> <span class="cn">TRUE</span>) <span class="sc">+</span></span>
<span id="cb17-6"><a href="#cb17-6" tabindex="-1"></a><span class="fu">scale_fill_manual</span>(<span class="at">values=</span><span class="fu">c</span>(<span class="st">"darkorange"</span>, <span class="st">"darkorange"</span>)) <span class="sc">+</span></span>
<span id="cb17-7"><a href="#cb17-7" tabindex="-1"></a><span class="fu">theme_classic</span>()</span></code></pre></div>
<p><img 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" /></p>
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</html>ggRain vignette2022-11-25T09:47:00+00:002022-11-25T09:47:00+00:00https://njudd.com/html-raincloud-ggrainggRain package release!2022-11-18T18:47:00+00:002022-11-18T18:47:00+00:00https://njudd.com/raincloud-ggrain-release<p>We have released a beta version of the <code class="language-plaintext highlighter-rouge">ggrain</code> package! The purpose of the package is to easily make raincloud plots in the ggplot framework with a geom.</p>
<p>The package consists of a single function <code class="language-plaintext highlighter-rouge">geom_rain()</code>. Yet it is quite powerful, allowing you to modify each element, connect observations across time with lines, flank the rainclouds and color the dots with another variable.</p>
<p><img src="/assets/images/time_group_cov.png" alt="image" /></p>
<p>To download the package run the code below and checkout the <a href="https://njudd.com/raincloud-ggrain.html">vignette</a> to get started!</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>if (!require(remotes)) {
install.packages("remotes")
}
remotes::install_github('njudd/ggrain')
library(ggrain)
</code></pre></div></div>We have released a beta version of the ggrain package! The purpose of the package is to easily make raincloud plots in the ggplot framework with a geom.Effect size literature2021-11-16T11:47:00+00:002021-11-16T11:47:00+00:00https://njudd.com/effectsize<h2 id="materials-for-ki-dep-clinical-neuroscience-seminar">Materials for KI Dep Clinical Neuroscience Seminar</h2>
<p><a href="njudd.com/spatial-cognition"><strong>Click here for a brief overview of the project</strong></a></p>
<p><strong>Slide Deck</strong> (without videos)</p>
<iframe src="https://docs.google.com/file/d/1-pIwj7bktXt8G2LcczVmbijD-nKT2kGc/preview" width="560" height="310" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" style="border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;" allowfullscreen=""> </iframe>
<p><strong>Our paper</strong></p>
<p>Judd, N., & Klingberg, T. (2021). Training spatial cognition enhances mathematical learning in a randomized study of 17,000 children. Nature Human Behaviour, 1–7. <a href="https://drive.google.com/file/d/1xGL9n04f AaQlWgL0g2CMjEHuwRbGOBpH/view?usp=sharing">PDF</a></p>
<h3 id="re-evaluating-cohens-standards">Re-evaluating Cohen’s standards</h3>
<p>In order of importance:</p>
<ol>
<li>Funder, D. C., & Ozer, D. J. (2019). Evaluating Effect Size in Psychological Research: Sense and Nonsense. Advances in Methods and Practices in Psychological Science, 2(2), 156–168. <a href="https://paperpile.com/shared/j2wxci">PDF</a></li>
<li>Anvari, F., Kievit, R., Lakens, D., Pennington, C. R., Przybylski, A. K., Tiokhin, L., Wiernik, B. M., & Orben, A. (2021). Evaluating the practical relevance and significance of observed effect sizes in psychological research. psyarxiv https://doi.org/10.31234/osf.io/g3vtr <a href="https://paperpile.com/shared/HOCaBO">PDF</a></li>
<li>Götz, F. M., Gosling, S. D., & Rentfrow, P. J. (2021). Small Effects: The Indispensable Foundation for a Cumulative Psychological Science. Perspectives on Psychological Science: A Journal of the Association for Psychological Science, 1745691620984483. <a href="https://paperpile.com/shared/VdjkKs">PDF</a></li>
</ol>
<h4 id="education-literature">Education literature</h4>
<ul>
<li>Kraft, M. A. (2020). Interpreting Effect Sizes of Education Interventions. Educational Researcher , 49(4), 241–253. <a href="https://paperpile.com/shared/ItPIu0">PDF</a></li>
<li>Ritchie, S. J., & Tucker-Drob, E. M. (2018). How Much Does Education Improve Intelligence? A Meta-Analysis. Psychological Science, 29(8), 1358–1369. <a href="https://paperpile.com/shared/5tPeuQ">PDF</a></li>
<li>Bloom, H. S., Hill, C. J., Black, A. R., & Lipsey, M. W. (2008). Performance Trajectories and Performance Gaps as Achievement Effect-Size Benchmarks for Educational Interventions. Journal of Research on Educational Effectiveness, 1(4), 289–328. <a href="https://paperpile.com/shared/O0bFlb">PDF</a></li>
<li>Lortie-Forgues, H., & Inglis, M. (2019). Rigorous Large-Scale Educational RCTs Are Often Uninformative: Should We Be Concerned? Educational Researcher , 48(3), 158–166. <a href="https://paperpile.com/shared/gMaX0t">PDF</a></li>
</ul>
<h4 id="other-relevant-literature">Other relevant literature</h4>
<ul>
<li>Abelson, R. P. (1985). A variance explanation paradox: When a little is a lot. In Psychological Bulletin (Vol. 97, Issue 1, pp. 129–133). https://doi.org/10.1037/0033-2909.97.1.129 <a href="https://paperpile.com/shared/I6pwuv">PDF</a></li>
<li>Dick, A. S., Watts, A. L., Heeringa, S. G., Lopez, D. A., Bartsch, H., Fan, C. C., Palmer, C. E., Reuter, C., Marshall, A. T., Haist, F., Hawes, S., Nichols, T., Barch, D. M., Jernigan, T. L., Garavan, H., Grant, S., Pariyadath, V., Hoffman, E., Neale, M., … Thompson, W. (2020). Meaningful Effects in the Adolescent Brain Cognitive Development Study (p. 2020.09.01.276451). https://doi.org/10.1101/2020.09.01.276451 <a href="https://paperpile.com/shared/u0yj0y">PDF</a></li>
</ul>Materials for KI Dep Clinical Neuroscience SeminarResidualization reinterpretation2021-08-01T16:10:00+00:002021-08-01T16:10:00+00:00https://njudd.com/html-std-residualizationSpatial Cognition RCT2021-03-23T22:10:00+00:002021-03-23T22:10:00+00:00https://njudd.com/spatial-cognition<p>We set out to answer the question:</p>
<ul>
<li>Does training different types of spatial tasks help kids improve in mathematics?</li>
</ul>
<p>For an in-depth look check out the <a href="https://rdcu.be/ck9fP">paper</a> or the <a href="https://github.com/njudd/spatialcognition">Github repo</a>! If you have any further questions just reach out and ask me :)</p>
<p><img src="/assets/proj_imgs/spatialcognition/img1.png" alt="img1" /></p>
<h3 id="abstract">Abstract</h3>
<p>Spatial and mathematical abilities are strongly associated. Here, we analysed data from 17,648 children, aged 6–8 years, who performed 7 weeks of mathematical training together with randomly assigned spatial cognitive training with tasks demanding more spatial manipulation (mental rotation or tangram), maintenance of spatial information (a visuospatial working memory task) or spatial, non-verbal reasoning. We found that the type of cognitive training children performed had a significant impact on mathematical learning, with training of visuospatial working memory and reasoning being the most effective. This large, community-based study shows that spatial cognitive training can result in transfer to academic abilities, and that reasoning ability and maintenance of spatial information is relevant for mathematics learning in young children.</p>
<iframe src="https://docs.google.com/file/d/1-pIwj7bktXt8G2LcczVmbijD-nKT2kGc/preview" width="560" height="310" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" style="border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;" allowfullscreen=""> </iframe>
<hr />
<h3 id="brief-overview">Brief Overview</h3>
<p>Every child completed identical training in the first week, on the 2nd week (out of 7) they were randomized into one of the 5 training plans below. These plans differed on the amounts of working memory, rotation, or non-verbal reasoning exercises.</p>
<p><img src="/assets/proj_imgs/spatialcognition/img2.png" alt="img2" /></p>
<p><img src="/assets/proj_imgs/spatialcognition/img4.png" alt="img4" /></p>
<hr />
<p>We measured mathematics at three timepoints with in-app tests (i.e., addition, subtraction & number comparison) which we combined into a latent mathematical factor.</p>
<p><img src="/assets/proj_imgs/spatialcognition/Vektor_measuremod_strict.png" alt="measuremod" /></p>
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</div>
<div class="toright">
<p> As expected this mathematical factor was highly correlated with mean performance in the training tasks in the first week. As seen on the training curves below all of the trained tasks significantly improved over the seven weeks. The lower correlation between NVR and baseline Math is most likely due to constrained variance in the first week, which can be seen on the training curves of NVR.</p>
</div>
</div>
<p><img src="/assets/proj_imgs/spatialcognition/img5.png" alt="img5" /></p>
<hr />
<div class="side-by-side">
<div class="toleft">
<img class="image" src="https://njudd.com/assets/proj_imgs/spatialcognition/img6.png" alt="Alt Text" />
<figcaption class="caption">Improvement from each domain</figcaption>
</div>
<div class="toright">
<p> After 7 weeks we found non-verbal reasoning (NVR) to have the largest effect on mathematical improvement, followed by working memory. Conceptually we grouped Tangram & 2D rotation as both rotation tasks. Since this study had no passive control we cannot claim rotation has no effect on mathematics, just that it has less than working memory and non-verbal reasoning. </p>
</div>
</div>
<p>It is hard to estimate the effect size of our intervention since we have no training plans without cognitively demanding tasks. Another consideration is that we only changed 30% of the training programs, therefore all children completed a similar 70% of mathematic and working memory training. The difference between the least effective (rotation heavy) and most effective training plan (NVR only) was .06 SD’s.</p>
<p>While this would be classically considered a very small effect size. Using modern effect size metrics in education this would be classified as an intervention with a medium effect which has a low cost of implementation and is easy to scale (<a href="https://paperpile.com/shared/ItPIu0">Kraft, 2020</a>). For a list of relevant recent effect size literature see section ‘<a href="https://njudd.com/effectsize">effectsizes</a>’.</p>We set out to answer the question:Markdown Extra Components2016-02-24T22:48:00+00:002016-02-24T22:48:00+00:00https://njudd.com/markdown-extra-components<h2 id="summary">Summary:</h2>
<p>You can pick as item to see how to apply in markdown.</p>
<h4 id="especial-elements">Especial Elements</h4>
<ul>
<li><a href="#evidence">Evidence</a></li>
<li><a href="#side-by-side">Side-by-Side</a></li>
<li><a href="#star">Star</a></li>
<li><a href="#especial-breaker">Especial Breaker</a></li>
<li><a href="#spoiler">Spoiler</a></li>
</ul>
<h4 id="external-elements">External Elements</h4>
<ul>
<li><a href="#gist">Gist</a></li>
<li><a href="#codepen">Codepen</a></li>
<li><a href="#slideshare">Slideshare</a></li>
<li><a href="#videos">Videos</a></li>
</ul>
<hr />
<h2 id="evidence">Evidence</h2>
<p>You can try the evidence!</p>
<p><span class="evidence">Paragraphs can be written like so. A paragraph is the basic block of Markdown. A paragraph is what text will turn into when there is no reason it should become anything else.</span></p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><span</span> <span class="na">class=</span><span class="s">"evidence"</span><span class="nt">></span>Paragraphs can be written like so. A paragraph is the basic block of Markdown. A paragraph is what text will turn into when there is no reason it should become anything else.<span class="nt"></span></span></code></pre></figure>
<hr />
<h2 id="side-by-side">Side-by-side</h2>
<p>Like the <a href="https://medium.com/">Medium</a> component.</p>
<p><strong>Image</strong> on the left and <strong>Text</strong> on the right:</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><div</span> <span class="na">class=</span><span class="s">"side-by-side"</span><span class="nt">></span>
<span class="nt"><div</span> <span class="na">class=</span><span class="s">"toleft"</span><span class="nt">></span>
<span class="nt"><img</span> <span class="na">class=</span><span class="s">"image"</span> <span class="na">src=</span><span class="s">"https://njudd.com/assets/images/profile.jpg"</span> <span class="na">alt=</span><span class="s">"Alt Text"</span><span class="nt">></span>
<span class="nt"><figcaption</span> <span class="na">class=</span><span class="s">"caption"</span><span class="nt">></span>Photo by John Doe<span class="nt"></figcaption></span>
<span class="nt"></div></span>
<span class="nt"><div</span> <span class="na">class=</span><span class="s">"toright"</span><span class="nt">></span>
<span class="nt"><p></span>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.<span class="nt"></p></span>
<span class="nt"></div></span>
<span class="nt"></div></span></code></pre></figure>
<div class="side-by-side">
<div class="toleft">
<img class="image" src="https://njudd.com/assets/images/profile.jpg" alt="Alt Text" />
<figcaption class="caption">Photo by John Doe</figcaption>
</div>
<div class="toright">
<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>
</div>
</div>
<p><strong>Text</strong> on the left and <strong>Image</strong> on the right:</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><div</span> <span class="na">class=</span><span class="s">"side-by-side"</span><span class="nt">></span>
<span class="nt"><div</span> <span class="na">class=</span><span class="s">"toleft"</span><span class="nt">></span>
<span class="nt"><p></span>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.<span class="nt"></p></span>
<span class="nt"></div></span>
<span class="nt"><div</span> <span class="na">class=</span><span class="s">"toright"</span><span class="nt">></span>
<span class="nt"><img</span> <span class="na">class=</span><span class="s">"image"</span> <span class="na">src=</span><span class="s">"https://njudd.com/assets/images/profile.jpg"</span> <span class="na">alt=</span><span class="s">"Alt Text"</span><span class="nt">></span>
<span class="nt"><figcaption</span> <span class="na">class=</span><span class="s">"caption"</span><span class="nt">></span>Photo by John Doe<span class="nt"></figcaption></span>
<span class="nt"></div></span>
<span class="nt"></div></span></code></pre></figure>
<div class="side-by-side">
<div class="toleft">
<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>
</div>
<div class="toright">
<img class="image" src="https://njudd.com/assets/images/profile.jpg" alt="Alt Text" />
<figcaption class="caption">Photo by John Doe</figcaption>
</div>
</div>
<hr />
<h2 id="star">Star</h2>
<p>You can give evidence to a post. Just add the tag to the markdown file.</p>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">star: true</code></pre></figure>
<hr />
<h2 id="especial-breaker">Especial Breaker</h2>
<p>You can add a especial <em>hr</em> to your text.</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><div</span> <span class="na">class=</span><span class="s">"breaker"</span><span class="nt">></div></span></code></pre></figure>
<div class="breaker"></div>
<hr />
<h2 id="spoiler">Spoiler</h2>
<p>You can add an especial hidden content that appears on hover.</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><div</span> <span class="na">class=</span><span class="s">"spoiler"</span><span class="nt">><p></span>your content<span class="nt"></p></div></span></code></pre></figure>
<div class="spoiler"><p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p></div>
<hr />
<h2 id="gist">Gist</h2>
<p>You can add Gists from github.</p>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">{ % gist sergiokopplin/91ff4220480727b47224245ee2e9c291 % }</code></pre></figure>
<script src="https://gist.github.com/sergiokopplin/91ff4220480727b47224245ee2e9c291.js"> </script>
<hr />
<h2 id="codepen">Codepen</h2>
<p>You can add Pens from Codepen.</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><p</span> <span class="na">data-height=</span><span class="s">"268"</span> <span class="na">data-theme-id=</span><span class="s">"0"</span> <span class="na">data-slug-hash=</span><span class="s">"gfdDu"</span> <span class="na">data-default-tab=</span><span class="s">"result"</span> <span class="na">data-user=</span><span class="s">"chriscoyier"</span> <span class="na">class=</span><span class="s">'codepen'</span><span class="nt">></span>
See the Pen <span class="nt"><a</span> <span class="na">href=</span><span class="s">'https://codepen.io/chriscoyier/pen/gfdDu/'</span><span class="nt">></span>Crappy Recreation of the Book Cover of *The Flame Alphabet*<span class="nt"></a></span> by Chris Coyier (<span class="nt"><a</span> <span class="na">href=</span><span class="s">'https://codepen.io/chriscoyier'</span><span class="nt">></span>@chriscoyier<span class="nt"></a></span>) on <span class="nt"><a</span> <span class="na">href=</span><span class="s">'https://codepen.io'</span><span class="nt">></span>CodePen<span class="nt"></a></span>.
<span class="nt"></p></span>
<span class="nt"><script </span><span class="na">async</span> <span class="na">src=</span><span class="s">"//assets.codepen.io/assets/embed/ei.js"</span><span class="nt">></script></span></code></pre></figure>
<p data-height="268" data-theme-id="0" data-slug-hash="gfdDu" data-default-tab="result" data-user="chriscoyier" class="codepen">See the Pen <a href="https://codepen.io/chriscoyier/pen/gfdDu/">Crappy Recreation of the Book Cover of *The Flame Alphabet*</a> by Chris Coyier (<a href="https://codepen.io/chriscoyier">@chriscoyier</a>) on <a href="https://codepen.io">CodePen</a>.</p>
<script async="" src="//assets.codepen.io/assets/embed/ei.js"></script>
<hr />
<h2 id="slideshare">Slideshare</h2>
<p>Add your presentations here!</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><iframe</span> <span class="na">src=</span><span class="s">"//www.slideshare.net/slideshow/embed_code/key/hqDhSJoWkrHe7l"</span> <span class="na">width=</span><span class="s">"560"</span> <span class="na">height=</span><span class="s">"310"</span> <span class="na">frameborder=</span><span class="s">"0"</span> <span class="na">marginwidth=</span><span class="s">"0"</span> <span class="na">marginheight=</span><span class="s">"0"</span> <span class="na">scrolling=</span><span class="s">"no"</span> <span class="na">style=</span><span class="s">"border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;"</span> <span class="na">allowfullscreen</span><span class="nt">></span> <span class="nt"></iframe></span></code></pre></figure>
<iframe src="//www.slideshare.net/slideshow/embed_code/key/hqDhSJoWkrHe7l" width="560" height="310" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" style="border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;" allowfullscreen=""> </iframe>
<hr />
<h2 id="videos">Videos</h2>
<p>Do you want some videos? Youtube, Vimeo or Vevo? Copy the embed code and paste on your post!</p>
<p><strong>Example</strong></p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="nt"><iframe</span> <span class="na">width=</span><span class="s">"560"</span> <span class="na">height=</span><span class="s">"310"</span> <span class="na">src=</span><span class="s">"https://www.youtube.com/embed/r7XhWUDj-Ts"</span> <span class="na">frameborder=</span><span class="s">"0"</span> <span class="na">allowfullscreen</span><span class="nt">></iframe></span></code></pre></figure>
<iframe width="560" height="310" src="https://www.youtube.com/embed/r7XhWUDj-Ts" frameborder="0" allowfullscreen=""></iframe>jamesfosterSummary:Markdown Common Elements2016-02-24T22:44:00+00:002016-02-24T22:44:00+00:00https://njudd.com/markdown-common-elements<h2 id="basic-formatting">Basic formatting</h2>
<p>This note <strong>demonstrates</strong> some of what <a href="https://daringfireball.net/projects/markdown/">Markdown</a> is <em>capable of doing</em>.</p>
<p>And that’s how to do it.</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html">This note **demonstrates** some of what [Markdown][some/link] is *capable of doing*.</code></pre></figure>
<hr />
<h2 id="headings">Headings</h2>
<p>There are six levels of headings. They correspond with the six levels of HTML headings. You’ve probably noticed them already in the page. Each level down uses one more hash character. But we are using just 4 of them.</p>
<h1 id="headings-can-be-small">Headings can be small</h1>
<h2 id="headings-can-be-small-1">Headings can be small</h2>
<h3 id="headings-can-be-small-2">Headings can be small</h3>
<h4 id="headings-can-be-small-3">Headings can be small</h4>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw"># Heading
## Heading
### Heading
#### Heading</code></pre></figure>
<hr />
<h2 id="lists">Lists</h2>
<h3 id="ordered-list">Ordered list</h3>
<ol>
<li>Item 1</li>
<li>A second item</li>
<li>Number 3</li>
</ol>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">1. Item 1
2. A second item
3. Number 3</code></pre></figure>
<h3 id="unordered-list">Unordered list</h3>
<ul>
<li>An item</li>
<li>Another item</li>
<li>Yet another item</li>
<li>And there’s more…</li>
</ul>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">* An item
* Another item
* Yet another item
* And there's more...</code></pre></figure>
<hr />
<h2 id="paragraph-modifiers">Paragraph modifiers</h2>
<h3 id="quote">Quote</h3>
<blockquote>
<p>Here is a quote. What this is should be self explanatory. Quotes are automatically indented when they are used.</p>
</blockquote>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">> Here is a quote. What this is should be self explanatory.</code></pre></figure>
<hr />
<h2 id="urls">URLs</h2>
<p>URLs can be made in a handful of ways:</p>
<ul>
<li>A named link to <a href="https://daringfireball.net/projects/markdown/basics">Mark It Down</a>.</li>
<li>Another named link to <a href="https://google.com/">Mark It Down</a></li>
<li>Sometimes you just want a URL like <a href="https://google.com/">https://google.com/</a>.</li>
</ul>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">* A named link to [MarkItDown][3].
* Another named link to [MarkItDown](https://google.com/)
* Sometimes you just want a URL like <https://google.com/>.</code></pre></figure>
<hr />
<h2 id="horizontal-rule">Horizontal rule</h2>
<p>A horizontal rule is a line that goes across the middle of the page.
It’s sometimes handy for breaking things up.</p>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">---</code></pre></figure>
<hr />
<h2 id="images">Images</h2>
<p>Markdown can also contain images. I’ll need to add something here sometime.</p>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">![Markdowm Image][/image/url]</code></pre></figure>
<p><img src="https://kune.fr/wp-content/uploads/2013/10/ghost-blog.jpg" alt="Markdowm Image" /></p>
<p><em>Figure Caption</em>?</p>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">![Markdowm Image][/image/url]
<figcaption class="caption">Photo by John Doe</figcaption></code></pre></figure>
<p><img src="https://kune.fr/wp-content/uploads/2013/10/ghost-blog.jpg" alt="Markdowm Image" /></p>
<figcaption class="caption">Photo by John Doe</figcaption>
<p><em>Bigger Images</em>?</p>
<figure class="highlight"><pre><code class="language-raw" data-lang="raw">![Markdowm Image][/image/url]{: class="bigger-image" }</code></pre></figure>
<p><img src="https://kune.fr/wp-content/uploads/2013/10/ghost-blog.jpg" alt="Markdowm Image" class="bigger-image" /></p>
<hr />
<h2 id="code">Code</h2>
<p>A HTML Example:</p>
<figure class="highlight"><pre><code class="language-html" data-lang="html"><span class="cp"><!DOCTYPE html></span>
<span class="nt"><html</span> <span class="na">lang=</span><span class="s">"en"</span><span class="nt">></span>
<span class="nt"><head></span>
<span class="nt"><meta</span> <span class="na">charset=</span><span class="s">"UTF-8"</span><span class="nt">></span>
<span class="nt"><title></span>Document<span class="nt"></title></span>
<span class="nt"></head></span>
<span class="nt"><body></span>
<span class="nt"><h1></span>Just a test<span class="nt"></h1></span>
<span class="nt"></body></span>
<span class="nt"></html></span></code></pre></figure>
<p>A CSS Example:</p>
<figure class="highlight"><pre><code class="language-css" data-lang="css"><span class="nt">pre</span> <span class="p">{</span>
<span class="nl">padding</span><span class="p">:</span> <span class="m">10px</span><span class="p">;</span>
<span class="nl">font-size</span><span class="p">:</span> <span class="m">.8em</span><span class="p">;</span>
<span class="nl">white-space</span><span class="p">:</span> <span class="n">pre</span><span class="p">;</span>
<span class="p">}</span>
<span class="nt">pre</span><span class="o">,</span> <span class="nt">table</span> <span class="p">{</span>
<span class="nl">width</span><span class="p">:</span> <span class="m">100%</span><span class="p">;</span>
<span class="p">}</span>
<span class="nt">code</span><span class="o">,</span> <span class="nt">pre</span><span class="o">,</span> <span class="nt">tt</span> <span class="p">{</span>
<span class="nl">font-family</span><span class="p">:</span> <span class="n">Monaco</span><span class="p">,</span> <span class="n">Consolas</span><span class="p">,</span> <span class="n">Inconsolata</span><span class="p">,</span> <span class="nb">monospace</span><span class="p">,</span> <span class="nb">sans-serif</span><span class="p">;</span>
<span class="nl">background</span><span class="p">:</span> <span class="n">rgba</span><span class="p">(</span><span class="m">0</span><span class="p">,</span><span class="m">0</span><span class="p">,</span><span class="m">0</span><span class="p">,</span><span class="m">.05</span><span class="p">);</span>
<span class="p">}</span></code></pre></figure>
<p>A JS Example:</p>
<figure class="highlight"><pre><code class="language-js" data-lang="js"><span class="c1">// Sticky Header</span>
<span class="nx">$</span><span class="p">(</span><span class="nb">window</span><span class="p">).</span><span class="nx">scroll</span><span class="p">(</span><span class="kd">function</span><span class="p">()</span> <span class="p">{</span>
<span class="k">if</span> <span class="p">(</span><span class="nx">$</span><span class="p">(</span><span class="nb">window</span><span class="p">).</span><span class="nx">scrollTop</span><span class="p">()</span> <span class="o">></span> <span class="mi">900</span> <span class="o">&&</span> <span class="o">!</span><span class="nx">$</span><span class="p">(</span><span class="dl">"</span><span class="s2">body</span><span class="dl">"</span><span class="p">).</span><span class="nx">hasClass</span><span class="p">(</span><span class="dl">'</span><span class="s1">show-menu</span><span class="dl">'</span><span class="p">))</span> <span class="p">{</span>
<span class="nx">$</span><span class="p">(</span><span class="dl">'</span><span class="s1">#hamburguer__open</span><span class="dl">'</span><span class="p">).</span><span class="nx">fadeOut</span><span class="p">(</span><span class="dl">'</span><span class="s1">fast</span><span class="dl">'</span><span class="p">);</span>
<span class="p">}</span> <span class="k">else</span> <span class="k">if</span> <span class="p">(</span><span class="o">!</span><span class="nx">$</span><span class="p">(</span><span class="dl">"</span><span class="s2">body</span><span class="dl">"</span><span class="p">).</span><span class="nx">hasClass</span><span class="p">(</span><span class="dl">'</span><span class="s1">show-menu</span><span class="dl">'</span><span class="p">))</span> <span class="p">{</span>
<span class="nx">$</span><span class="p">(</span><span class="dl">'</span><span class="s1">#hamburguer__open</span><span class="dl">'</span><span class="p">).</span><span class="nx">fadeIn</span><span class="p">(</span><span class="dl">'</span><span class="s1">fast</span><span class="dl">'</span><span class="p">);</span>
<span class="p">}</span>
<span class="p">});</span></code></pre></figure>johndoeBasic formatting