<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Askdoc&#039;s USMLE Blog &#187; Study Methods</title>
	<atom:link href="http://blogs.askdoc-usmle.com/category/study-methods/feed/" rel="self" type="application/rss+xml" />
	<link>http://blogs.askdoc-usmle.com</link>
	<description>All about USMLE</description>
	<lastBuildDate>Sat, 04 Feb 2012 00:03:22 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=</generator>
		<item>
		<title>Which NBME Self Assessment Form to Use for USMLE Step 1</title>
		<link>http://blogs.askdoc-usmle.com/which-nbme-self-assessment-form-to-use-for-usmle-step-1/</link>
		<comments>http://blogs.askdoc-usmle.com/which-nbme-self-assessment-form-to-use-for-usmle-step-1/#comments</comments>
		<pubDate>Tue, 17 Aug 2010 05:55:56 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[nbme self assessment]]></category>
		<category><![CDATA[USMLE Step 1 Prep]]></category>
		<category><![CDATA[Which NBME Self Assessment Form to Use for USMLE Step 1]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=427</guid>
		<description><![CDATA[ Which NBME Form should you Use for USMLE Step 1? <p>This is one of the most common question that I usually encounter both in my blogs and in the various forums. And you have as many answers as there are NBME forms, in fact more. Various answers include the following</p> Use all 7 <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/which-nbme-self-assessment-form-to-use-for-usmle-step-1/">Which NBME Self Assessment Form to Use for USMLE Step 1</a></span>]]></description>
			<content:encoded><![CDATA[<h2><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/08/dreamstimefree_8571910.jpg"><img class="alignnone  wp-image-658" title="think" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/08/dreamstimefree_8571910-212x300.jpg" alt="" width="102" height="138" /></a></h2>
<h2>Which NBME Form should you Use for USMLE Step 1?</h2>
<p><span style="font-family: arial,helvetica,sans-serif;">This is one of the most common question that I usually encounter both in my blogs and in the various forums. And you have as many answers as there are NBME forms, in fact more. Various answers include the following</span></p>
<ul>
<li><span style="font-family: arial,helvetica,sans-serif;">Use all 7 NBME forms to track your progress</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">Use at least 2 NBME forms and get the average</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">Use NBME form 5 to 7 as they are harder</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">Use NBME form 1 to 4 as they are easier</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">Use NBME form (#) as they are most predictive</span></li>
</ul>
<p><span style="font-family: arial,helvetica,sans-serif;">As you can see recommendations vary and reasons vary. My recommendation is to use at least 2 NBME forms, one from the easy set of NBME form 1 to 4 and the second one from the harder set of NBME form 5 to 7 and then get the average. If you want to know why, then read on.</span></p>
<p><span id="more-427"></span></p>
<h3>What You Need to Know About the NBME Self Assessment Forms</h3>
<p><span style="font-family: arial,helvetica,sans-serif;">In order to determine what NBME form you should use, you need to answer 2 questions.</span></p>
<ol>
<li><span style="font-family: arial,helvetica,sans-serif;">What is the main purpose of using NBME self assessment tests for USMLE Step 1 Prep?</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">What is the difference between the various NBME forms if any?</span></li>
</ol>
<p><span style="font-family: arial,helvetica,sans-serif;">I had written extensively about the NBME self assessment tests and how they should be used for USMLE Step 1 Prep. Those interested may read <a title="NBME Self-assessment Tests and USMLE Review" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review/">Part 1</a>, <a title="NBME Self-assessment Tests and USMLE Review - Part II" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-part-ii/">Part 2</a> and <a title="NBME Self-assessment Tests and USMLE Review - An Update" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-an-update/">Part 3</a> by clicking on the link.</span></p>
<p><span style="font-family: arial,helvetica,sans-serif;">For this discussion it is important for you to know the following,</span></p>
<ol>
<li><span style="font-family: arial,helvetica,sans-serif;">The NBME question pool is different from the USMLE question pool and therefore the style of the questions are different although the content that they are testing is the same.</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">USMLE questions are more similar in style with the online qbanks than NBME.</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">The basis for using NBME self assessment tests to predict your probable USMLE score is due to the extensive correlation which NBME has done between both test results</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">Therefore, the best use of NBME self assessment test is to predict your probable USMLE score and decide the optimum time to take the exam</span></li>
<li><span style="font-family: arial,helvetica,sans-serif;">Although NBME self assessment tests can be use to assess your progress, there is some limitations. It measures your knowledge of USMLE content but it fails to detect any problem you have answering USMLE type questions.</span></li>
</ol>
<h3>What are the Difference in Difficulty Levels of the Various NBME Forms</h3>
<p><span style="font-family: arial,helvetica,sans-serif;">There are differences in the difficulty level of the different NBME forms. The higher the NBME form number, the more difficult the questions. Therefore, NBME form 1 is the easiest while NBME form 7 is the toughest.</span></p>
<p><span style="font-family: arial,helvetica,sans-serif;">However, since all 7 NBME forms are normed and correlated to the same USMLE exam, the predictability of all 7 sets are fairly similar but not exact. In other words, even if the NBME form 7 is tougher than the other exam, the number of correct questions you need to get an equivalent score in the USMLE is actually lower.</span></p>
<p><span style="font-family: arial,helvetica,sans-serif;">I have also observed that the lower NBME forms tend to overestimate your actual USMLE score a little, while the higher NBME forms tend to underestimate your actual USMLE scores a little. But overall, they are still within the SD level of + or &#8211; 11 points on the 3 digit score.</span></p>
<h3>So What is the Best NBME Form to Take for USMLE Step 1?</h3>
<p><span style="font-family: arial,helvetica,sans-serif;">If the purpose is to predict the probable score you will get if you were to sit for the USMLE, then my recommendation will be to take two NBME forms and get the average score. One NBME form from the easy group Forms 1 to 4 and the second one for the harder group of NBME Forms 5 to 7.</span></p>
<p><span style="font-family: arial,helvetica,sans-serif;">If you only have the financial resource to take 1 form then either NBME form 4 or 5 will be a good choice as they are of intermediate difficulty.</span></p>
<p><span style="font-family: arial,helvetica,sans-serif;">What you should not do of course is to take the &#8220;downloaded&#8221; or &#8220;pdf&#8221; version as aside from issues of copyright, it is the predicted USMLE score that is important and not the actual percentage of correct answers you got.</span></p>
<p><span style="font-family: arial,helvetica,sans-serif;">If the purpose is to assess the progress of your USMLE Step 1 review, then my recommendation is not to use the NBME forms at all but use 4 blocks of UW or Kaplan Qbanks on a random, timed, mixed unused basis.</span></p>
<p><span style="font-size: large; color: #339966;"><strong>Related Posts:</strong></span></p>
<ul>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self-assessment Tests and USMLE Review – An Update" href="../nbme-self-assessment-tests-and-usmle-review-an-update/" rel="bookmark"><span style="color: #0000ff;">NBME Self-assessment Tests and USMLE Review – An Update</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self-Assessment Tests and USMLE Review – Part II" href="../nbme-self-assessment-tests-and-usmle-review-part-ii/" rel="bookmark"><span style="color: #0000ff;">NBME Self-Assessment Tests and USMLE Review – Part II</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self Assessment Tests and USMLE Review" href="../nbme-self-assessment-tests-and-usmle-review/" rel="bookmark"><span style="color: #0000ff;">NBME Self Assessment Tests and USMLE Review</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fwhich-nbme-self-assessment-form-to-use-for-usmle-step-1%2F&amp;title=Which%20NBME%20Self%20Assessment%20Form%20to%20Use%20for%20USMLE%20Step%201" id="wpa2a_2"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/which-nbme-self-assessment-form-to-use-for-usmle-step-1/feed/</wfw:commentRss>
		<slash:comments>10</slash:comments>
		</item>
		<item>
		<title>NBME Self-assessment Tests and USMLE Review &#8211; An Update</title>
		<link>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-an-update/</link>
		<comments>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-an-update/#comments</comments>
		<pubDate>Mon, 02 Aug 2010 15:58:14 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[USMLE Step 2 CK]]></category>
		<category><![CDATA[USMLE Step 3]]></category>
		<category><![CDATA[correlation]]></category>
		<category><![CDATA[nbme]]></category>
		<category><![CDATA[nbme assessment tests]]></category>
		<category><![CDATA[nbme self assessment]]></category>
		<category><![CDATA[NBME self assessment tests]]></category>
		<category><![CDATA[predictability]]></category>
		<category><![CDATA[predictor]]></category>
		<category><![CDATA[score]]></category>
		<category><![CDATA[self assessment tests]]></category>
		<category><![CDATA[step 1]]></category>
		<category><![CDATA[step 2]]></category>
		<category><![CDATA[usmle]]></category>
		<category><![CDATA[usmle scores]]></category>
		<category><![CDATA[USMLE Step 1 Self Assessment]]></category>
		<category><![CDATA[USMLE Step 2CK Self Assessment]]></category>
		<category><![CDATA[usmle world]]></category>
		<category><![CDATA[USMLE World Self Assessment]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=238</guid>
		<description><![CDATA[<p></p> <p>It’s been over a year since I first published “NBME Self-assessment Tests and USMLE Review.” Little did I know it will become the most popular of my post with over 14,000 pageviews in the past year. Since that time a lot of things have changed, hence this update.</p> <p>If you have not read <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-an-update/">NBME Self-assessment Tests and USMLE Review &#8211; An Update</a></span>]]></description>
			<content:encoded><![CDATA[<p><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/08/dreamstimefree_3082411.jpg"><img class="alignnone  wp-image-672" title="assessment" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/08/dreamstimefree_3082411-207x300.jpg" alt="" width="130" height="189" /></a></p>
<p><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;"><span style="font-size: large;">I</span>t’s been over a year since I first published “NBME Self-assessment Tests and USMLE Review.” Little did I know it will become the most popular of my post with over 14,000 pageviews in the past year. Since that time a lot of things have changed, hence this update.</span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">If you have not read the previous two posts on this topic, please do so as I will not be repeating what I have said there in this post. You can access </span></span></span><a title="NBME Self Assessment Tests and USMLE Review Part I" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review/"><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">Part 1 here</span></span></span></a><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;"> and </span></span></span><a title="NBME Self Assessment Tests and USMLE Review Part II" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-part-ii/"><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">Part 2 here.</span></span></span></a></p>
<h3>How well does NBME predict your USMLE Score?</h3>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">That has been the number one question asked of me since I wrote about this topic. My answer is still the same. Fairly well. Although correlation is never 100% more like 70 to 80%. However, certain development in the past few years have made the assessment tests less reliable for some people.<span id="more-238"></span></span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">One of the reasons for this problem is that a lot of NBME questions, especially the earlier forms of step 1 have been discussed extensively in various forums. What’s more some of these posters did not even bother to warn people that what they are discussing are NBME form questions. Going into the NBME assessment tests knowing some of the answers already can invalidate the predictability of those assessment tests. In fact just knowing some of the questions beforehand can also invalidate the results. The reason is that knowing the questions ahead, means you’ve had time to consider the questions and possible answers before, not just the 1 minute or so that you will actually have in a real exam. That can skew your result.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">It has also come to my attention that some NBME questions or variations of those questions have come out in online qbanks. That is bad news, too as it has the same effect of invalidating some of the questions in the NBME forms. Even if you did not get the answer, encountering the questions in the NBME form for the second time rather than the first time means you had more than the 1 minute allowed in the exam to think through the questions and look for the answers.</span></span></span></p>
<p><span style="font-family: arial;">So what are the remedies for these problems that seem to have cropped up recently. Well first is to actively avoid discussing posted NBME questions in the forums. Of course since some posters do not have the courtesy of even warning people about it, avoid participating in any discussions on questions in forums unless you know for sure that they did not come from an NBME form.</span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">Another solution is to try to use the later forms. In Step 1 this would be form 4. 5 and 6. NBME forms for Step 2CK does not suffer from the same problems as those in Step 1 as they are not discussed as often as those of Step 1.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">Doing at least 2 forms instead of just 1 as I recommended before may also help. Just make sure one of the form is not the first 3.</span></span></span></p>
<h3>What about the “Downloaded” NBME Self-assessment test version.</h3>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">I can never understand the popularity of the so-called “downloaded” version of the NBME. </span></span></span><strong><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">IF</span></span></span></strong><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;"> saving a hundred dollars or so is worth scoring low or failing the USMLE altogether, then it is understandable. But ruining your long term career to save a couple of bucks is not a very intelligent move.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">In earlier posts, I have said that the value in the NBME does not lie with the fact that the questions mimic the USMLE. In fact, in general, they are much easier than the USMLE. The main value of the NBME forms is that they are fairly reliable predictors of performance in the USMLE due to the correlation they’ve done with NBME results vs. actual USMLE performance.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">However, recently, some posters in my blog have commented that they are able to “predict” their USMLE scores, since there are answer keys and correlation tables available with the downloaded version. So I decided to give it another look.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">So what did I find out? Well, first, there is a problem with the answer keys. There were some answers that I completely disagree with. In some cases where I myself am not sure what the right answer is, I tried to verify the possible correct answer by researching them and I still cannot decide what the right answer is even after searching through textbooks and the internet. Therefore, there is a question of how accurate the raw score one is getting for each of those NBME forms are. And that is a major problem. In my case, anywhere from 2 to 8 answers in each form fall into this category and for me, an “unknown” of 4 to 16% in the raw scores completely shoots down any chance of actually knowing the exact raw score you should be getting.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">A second major problem is that there is only one correlation table in existence, instead of the 6 correlation table I am expecting. That is one per form. There might be additional correlation tables out there, but the one I got is just 1. Why six tables? Because the forms are of different levels of difficulty, you expect the same person will get different number of questions right in the different forms depending on the level of difficulty. So you need a correlation table for each form to make them comparable. Having only one correlation table means we don’t even know to which form this correlation table belongs. See the problem, now.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">A third really big problem is that people who used this downloaded forms has a tendency to keep on using them throughout their prep multiple times. Probably because it’s free. In fact, it was justified that since they did not try to look at the answer, they can redo the same form and expect it to still be accurate in predicting their scores. That is actually wrong. Again, one of the reasons why USMLE is hard is the time limit imposed in answering questions. When you go through the same question multiple times, you’ve had more than the 1 minute per question limit imposed by USMLE to think of the answer and therefore will tend to score higher. That skews the predictability of the NBME.</span></span></span></p>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">Therefore, again, do yourself a favor and use only the online NBME assessment tests and use them only when you feel you are ready for the USMLE, to confirm your readiness. The “downloaded” NBME forms may seem free, but it’s hidden costs may be greater than you are willing to pay.</span></span></span></p>
<h3>USMLE World Assessment Tests</h3>
<p><span style="font-size: small;"><span style="font-size: small;"><span style="font-family: arial, helvetica, sans-serif;">I’ve had more time to gather information about this relatively new resource. So far based on talking to my students, posters in my blogs, people who have emailed me and reading various forums, my conclusion is that the UW assessment tests is just as good as the NBME assessment tests, so far.  Although there have been some observations that UW tend to be overestimate your scores in comparison to NBME, this does not seem to happen in all cases and the score difference is not too big. So all in all, I believe the UW assessment tests have enough track record by this time that we can safely say, they are fairly accurate in predicting USMLE scores. But as in all assessment tests, correlation is never 100%, therefore expect some deviation from predicted scores in the final result.</span></span></span></p>
<p>&nbsp;</p>
<p><span style="color: #339966;"><strong><span style="font-size: large;">Related Posts:</span></strong></span></p>
<ul>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to Which NBME Self Assessment Form to Use for USMLE Step 1" href="../which-nbme-self-assessment-form-to-use-for-usmle-step-1/" rel="bookmark"><span style="color: #0000ff;">Which NBME Self Assessment Form to Use for USMLE Step 1</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self-Assessment Tests and USMLE Review – Part II" href="../nbme-self-assessment-tests-and-usmle-review-part-ii/" rel="bookmark"><span style="color: #0000ff;">NBME Self-Assessment Tests and USMLE Review – Part II</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self Assessment Tests and USMLE Review" href="../nbme-self-assessment-tests-and-usmle-review/" rel="bookmark"><span style="color: #0000ff;">NBME Self Assessment Tests and USMLE Review</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to How to Create a Study Plan for the USMLE" href="../how-to-create-a-study-plan-for-the-usmle-2/" rel="bookmark"><span style="color: #0000ff;">How to Create a Study Plan for the USMLE</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to High Yield Fast Facts for the USMLE" href="../high-yield-fast-facts-for-the-usmle/" rel="bookmark"><span style="color: #0000ff;">High Yield Fast Facts for the USMLE</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to Guide to Self-Evaluation in USMLE Prep" href="../guide-to-self-evaluation-in-usmle-prep/" rel="bookmark"><span style="color: #0000ff;">Guide to Self-Evaluation in USMLE Prep</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fnbme-self-assessment-tests-and-usmle-review-an-update%2F&amp;title=NBME%20Self-assessment%20Tests%20and%20USMLE%20Review%20%26%238211%3B%20An%20Update" id="wpa2a_4"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-an-update/feed/</wfw:commentRss>
		<slash:comments>60</slash:comments>
		</item>
		<item>
		<title>Why You Need to Master the USMLE Step 1</title>
		<link>http://blogs.askdoc-usmle.com/why-you-need-to-master-the-usmle-step-1/</link>
		<comments>http://blogs.askdoc-usmle.com/why-you-need-to-master-the-usmle-step-1/#comments</comments>
		<pubDate>Sun, 11 Apr 2010 05:16:23 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[mastering usmle step 1]]></category>
		<category><![CDATA[Step 1 Prep]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=305</guid>
		<description><![CDATA[<p></p> <p>I read Kaplan notes once, FA twice and doing Qbanks now. Is that enough for Step 1? A frequent question asked in forums and in my blog but misses the point entirely. It is never a question of how much effort you put into preparing for the USMLE that determines the final result <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/why-you-need-to-master-the-usmle-step-1/">Why You Need to Master the USMLE Step 1</a></span>]]></description>
			<content:encoded><![CDATA[<p><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/04/dreamstimefree_759471.jpg"><img class="alignnone  wp-image-679" title="pen paper" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/04/dreamstimefree_759471-300x229.jpg" alt="" width="247" height="188" /></a></p>
<p><span style="font-size: large;">I</span> read Kaplan notes once, FA twice and doing Qbanks now. Is that enough for Step 1? A frequent question asked in forums and in my blog but misses the point entirely. It is never a question of how much effort you put into preparing for the USMLE that determines the final result of your prep, but how well you have retained and are able to recall the information you have studied. Although a certain amount of effort is required in order to achieve this, how much time and effort you put in to achieve equivalent result depends on the skill and intelligence you put into your prep. It is not so much studying harder as studying smarter.</p>
<p>In the forums, you see a lot of people studying the same things in the same way and results range for high 99&#8242;s to failing. So something else must be at work to explain the variety of results achieve using what is essentially the same study plan. And that something is the level of mastery achieved by different people using the same plan. It has to do with the different methods people use to study the material. As some people have asked time and again. When you say you have revised the material 2 times, do you mean you have read the materials twice, or you have tried to memorize the material twice. And therein lies the difference in results.</p>
<p>For the purpose of the USMLE, what you cannot recall in a minute or so, you do not know.  It is not enough for you to have read Kaplan, or FA or whatever, but you should be able to recall what you have read. If you cannot answer a question, it is because:</p>
<p><span style="color: #339966;"><em>1. you do not know the concept because you have not read it</em></span><br />
<span style="color: #339966;"><em> 2. you read the concept but you did not understand it</em></span><br />
<span style="color: #339966;"><em> 3. you read the concept and understood it but cannot recall it in the exam</em></span><br />
<span style="color: #339966;"><em> 4. you read the concept, understood it and can recall it in the exam given enough time, but of course since this is the USMLE, you never have enough time</em></span></p>
<p><span id="more-305"></span> In all 4 cases, you don&#8217;t get points as far as the USMLE is concerned.</p>
<p>Other reasons include,<br />
<em><span style="color: #339966;">1. you read it, understood it, can recall it in time, but the question is in clinical vignette format and you are poor in clinical vignettes</span></em><br />
<em><span style="color: #339966;"> 2. you read it, understood it, can recall it, but the question require more details than what you&#8217;ve actually read and understood, ie, it requires a higher level of mastery than you&#8217;ve prepped for</span></em><br />
<em><span style="color: #339966;"> 3. you read it, you thought you understood it, but actually you didn&#8217;t because you never tested your comprehension</span></em></p>
<p>In all these cases, you also don&#8217;t get points as far as the USMLE is concerned.</p>
<p>So you see, you could&#8217;ve studied and read all the right stuff, but you still don&#8217;t get points for them and you could still fail. So it&#8217;s not enough to study all the right things, you need to study the right way to insure that you covered all 7 situations stated above for everything you&#8217;ve read and studied. Studying the right stuff covers only situation number one.</p>
<p>Only by <strong>studying the right way</strong>, will you be able to achieve a level of mastery needed to do well in this exam. So the question arises what do you mean by mastering the concepts in the USMLE.</p>
<p>Well it means knowing enough details about the concepts tested so you know how to answer questions that require you to know that level of details. People who think Kaplan or Rapid Review are too detailed will probably not do well in the exam, because in my book, both reviewers lack detail to get you to 99&#8242;s much less high 99&#8242;s.</p>
<p>Next , you need to know those details at such a level that you can recall them in the limited time provided by the exam. And that is not easy. It requires studying a certain way to do that efficiently.</p>
<p>You need to study the materials in a certain way that insure you did your analysis during the review and not during the exam. There are methods of doing this which is emphasized in my course. The reason for doing the analysis during review rather than during the exam is that the exam is timed and the additional time you need to analyze the facts in order to answer the questions, may be what will cause you to fail or do badly in the exam. In contrast to the actual exam, you can do the analysis during the review where you have all the time in the world to do so. So the question, instead of requiring you to recall facts, analyze then answer, now only requires you to recall the analysis you did during the review, thus insuring faster recall, faster time to answer the question concerned and consequently higher scores.</p>
<p>Therefore it is not enough to have just read through the materials a couple of times. You need to master the USMLE in order to do well in the exam. There are study methods to help you do this consistently throughout your review. If you want to know more about How to Master the USMLE Step 1, Watch my 15 minute introductory video, <strong><a href="http://blogs.askdoc-usmle.com/how-to-master-the-usmle-step-1-an-introduction/" target="_blank">How to Master the USMLE Step 1 &#8211; An Introduction</a></strong></p>
<p>&nbsp;</p>
<p><span style="font-size: large; color: #339966;"><strong>Related Posts:</strong></span></p>
<ul>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to How to Master the USMLE Step 1 – an Introduction" href="../how-to-master-the-usmle-step-1-an-introduction/" rel="bookmark"><span style="color: #0000ff;">How to Master the USMLE Step 1 – an Introduction</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Why You Need Three Phases in USMLE Prep – I" href="../why-you-need-three-phases-in-usmle-prep-i/" rel="bookmark"><span style="color: #0000ff;">Why You Need Three Phases in USMLE Prep – I</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to NBME Self Assessment Tests and USMLE Review" href="../nbme-self-assessment-tests-and-usmle-review/" rel="bookmark"><span style="color: #0000ff;">NBME Self Assessment Tests and USMLE Review</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fwhy-you-need-to-master-the-usmle-step-1%2F&amp;title=Why%20You%20Need%20to%20Master%20the%20USMLE%20Step%201" id="wpa2a_6"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/why-you-need-to-master-the-usmle-step-1/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>Most Common Mistakes in Step 2 CK Prep</title>
		<link>http://blogs.askdoc-usmle.com/most-common-mistakes-in-step-2-ck-prep/</link>
		<comments>http://blogs.askdoc-usmle.com/most-common-mistakes-in-step-2-ck-prep/#comments</comments>
		<pubDate>Sun, 28 Mar 2010 00:14:22 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 2 CK]]></category>
		<category><![CDATA[mistakes]]></category>
		<category><![CDATA[usmle]]></category>
		<category><![CDATA[usmle preparation]]></category>
		<category><![CDATA[usmle questions]]></category>
		<category><![CDATA[usmle step 2ck]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=293</guid>
		<description><![CDATA[<p>People have been badgering me for sometime now on writing more about how to prep for Step 2 CK. Some even wants me to start a Step 2 CK prep course. However, due to time constraints and the Step 1 Prep Course, it has not come to pass.</p> <p>Lately there had been too many <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/most-common-mistakes-in-step-2-ck-prep/">Most Common Mistakes in Step 2 CK Prep</a></span>]]></description>
			<content:encoded><![CDATA[<p><span style="font-size: large;">P</span>eople have been badgering me for sometime now on writing more about how to prep for Step 2 CK. Some even wants me to start a Step 2 CK prep course. However, due to time constraints and the Step 1 Prep Course, it has not come to pass.</p>
<p>Lately there had been too many people asking questions about their Step 2 CK preparation and problems they are encountering. Although I still don&#8217;t have time to write a full article on it, I have decided to tackle the 4 most common reason that people do poorly in the Step 2 CK. I am also reposting an article about &#8220;What to do for Step 2 CK&#8221; an older post that needs some rewriting but is still relevant.</p>
<p><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/03/dreamstimefree_920644.jpg"><img class="alignnone  wp-image-683" title="difficulty" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/03/dreamstimefree_920644-199x300.jpg" alt="" width="114" height="172" /></a></p>
<p><em><strong>1. Not Studying Enough Detail.</strong></em> The most common mistake people make in studying for Step 2 CK is not studying enough detail. You see so many reviewers in the market that purport you can ace the exam by studying the little material it contains. That is a lot of bull. Medicine is a very broad subject and Step 2 CK covers all the most common and even some rare cases.Those little reviewer just does not give you enough detail to do well in this exam. An exception is Kaplan Notes. Very good detail. However, you need to know 85% of it in order to know enough to pass. Higher if you want a higher score. And that is impossible to do unless you do a minimum of 3 revisions. I will discuss the various study materials you can use in another post.</p>
<p><span id="more-293"></span><br />
<em><strong>2. Difficulty with next best step in management type of questions.</strong></em> Next best step in managment type of questions acount for about 20% of Step 2 CK. This type of questions involve cases that describes the management done on the patient so far and asks what you think is the next best step in dealing with this particular patient. Remember the next best step depends on what was the result of a previous diagnostic workup or response to treatment. There is a big difference between knowing how to treat and managing a patient. There is also a big difference between knowing what lab tests to perform and working up a patient. Treating a patient  involves knowing what drugs and treatments to use. Managing a patient takes into consideration patient response, adverse reactions and other factors and altering the treatment accordingly. Working up a patient involves knowing implications of positive and negative results of previous tests and what lab or diagnostic test should be ordered next.</p>
<p>Most people study for step 2 CK by reading reviewers or books. And that is the appropriate way to study the clinical content for the Step 2 CK exam. But one needs to do the extra step of constructing algorithms in order to be able to master next best step in management style of questions. You can answer the next best step in management type of question without using algorithms but it will take longer and more analysis to be able to answer them. And as we know, in the USMLE time is what you lack. I will write more on how to write algorithms in another post</p>
<p><em><strong>3. Knowing too little pathophysiology or mechanisms of diseases.</strong></em> One of the biggest reason why I emphasize pathology and pathophysiology in Step 1 aside from the fact that it is the biggest subject in Step 1 is that it is also very important in Step 2CK and Step 3. This accounts for 20% of Step 2 CK and covers mostly systems pathology unlike in Step 1 where the main emphasis is in general pathology. Also in Step 2, the pathophysiology tested are more clinical in nature, ie how they account for various signs and symptoms and complications of diseases. Cases will also include what I would call &#8220;Applied pathophysiology&#8221;. I have written examples of this in an earlier article. This is usually a problem for those older grads who decide to take Step 2 CK ahead of Step 1 and did not bother to brush up on pathology. Also for those who took Step 1 first but did poorly in pathology. The solution is therefore to make sure that you are solid in pathophysiology. Goljan&#8217;s Rapid Review for Pathology is a short but good book to brush up on pathophysiology, although it covers general pathology as well which is not needed in Step 2 CK.</p>
<p><em><strong>4. Atypical presentation of common diseases.</strong></em> According to Cecil&#8217;s Textbook of Medicine, there are four types of cases you normally encounter in clinical practice. In order of frequency, they are (1) common diseases with typical presentation, (2) common diseases with atypical presentation, (3) rare disease with typical presentation and (4) rare diseases with atypical presentation. They also occur roughly in the same number in Step 2 CK with slightly more type 2 cases than normal</p>
<p>In Step 1, most of the cases you encounter presents classically. But in real life you rarely see classical cases where all the key signs and symptoms are present. Even in Type 1 cases, not all the signs and symptoms will be there. However, enough will be present so diagnosis is not so difficult. The big problem in Step 2 CK for most people is type 2 cases where common diseases presents atypically. For example, although sarcoidosis is most common in young, black female. They do occur in males, older people and other races. So in Step 2CK a sarcoidosis patient may be an old, white male instead. You need to be able to diagnoses the case even with atypical presentation or you won’t be able to answer the questions. These is usually a problem with medical students with limited clinical experience and old grads who have not practiced medicine for some time.</p>
<p>Other ways clinical cases are tougher in Step 2 CK is the addition on both relevant and irrelevant normal findings. The addition of irrelevant abnormal findings that will not change the diagnosis. You need to be able to discern what facts are important and what are not. Remember in an actual live patient, they may present with symptoms that is irrelevant to their main complaint and you need to decide what is relevant and what is not.</p>
<p>The best way to correct this problem is to study classical cases and know what symptoms and signs are absolutely essential in making a diagnosis. When doing qbanks and you misdiagnose a case, it may make sense to find out where you got it wrong and write down the minimum symptoms and signs you need to make the diagnose, so you don&#8217;t make the same mistake again.</p>
<p><em>These 4 are the most common reason for getting low score. Although there are other less common weak points that can cause lower score, they will be discussed in another post.</em></p>
<p>&nbsp;</p>
<p><span style="font-size: large; color: #339966;"><strong>Related Posts:</strong></span></p>
<ul>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Three Phases of USMLE Prep" href="../three-phases-of-usmle-prep/" rel="bookmark"><span style="color: #0000ff;">Three Phases of USMLE Prep</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to What to Do in Step 2 CK" href="../what-to-do-in-step-2-ck/" rel="bookmark"><span style="color: #0000ff;">What to Do in Step 2 CK</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to NBME Self Assessment Tests and USMLE Review" href="../nbme-self-assessment-tests-and-usmle-review/" rel="bookmark"><span style="color: #0000ff;">NBME Self Assessment Tests and USMLE Review</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Guide to Self-Evaluation in USMLE Prep" href="../guide-to-self-evaluation-in-usmle-prep/" rel="bookmark"><span style="color: #0000ff;">Guide to Self-Evaluation in USMLE Prep</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to What to Study for the USMLE – Part IV" href="../what-to-study-for-the-usmle-part-iv/" rel="bookmark"><span style="color: #0000ff;">What to Study for the USMLE – Part IV</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fmost-common-mistakes-in-step-2-ck-prep%2F&amp;title=Most%20Common%20Mistakes%20in%20Step%202%20CK%20Prep" id="wpa2a_8"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/most-common-mistakes-in-step-2-ck-prep/feed/</wfw:commentRss>
		<slash:comments>22</slash:comments>
		</item>
		<item>
		<title>What to Do in Step 2 CK</title>
		<link>http://blogs.askdoc-usmle.com/what-to-do-in-step-2-ck/</link>
		<comments>http://blogs.askdoc-usmle.com/what-to-do-in-step-2-ck/#comments</comments>
		<pubDate>Sun, 28 Mar 2010 00:10:31 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 2 CK]]></category>
		<category><![CDATA[clinical knowledge]]></category>
		<category><![CDATA[sample cases]]></category>
		<category><![CDATA[sample questions]]></category>
		<category><![CDATA[step 2CK]]></category>
		<category><![CDATA[usmle]]></category>
		<category><![CDATA[usmle prep]]></category>
		<category><![CDATA[usmle step 2ck]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=289</guid>
		<description><![CDATA[<p>*note: I wrote this way back in 2007 and posted it in prep4usmle. I am reposting it here because many people have been asking about how to prep for Step 2 CK and I am busy to write one. Although this may need a rewrite, it will do until I actually finish and post <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/what-to-do-in-step-2-ck/">What to Do in Step 2 CK</a></span>]]></description>
			<content:encoded><![CDATA[<p><strong><em>*note: I wrote this way back in 2007 and posted it in prep4usmle. I am reposting it here because many people have been asking about how to prep for Step 2 CK and I am busy to write one. Although this may need a rewrite, it will do until I actually finish and post a new article. </em></strong></p>
<p><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/03/dreamstimefree_2796690.jpg"><img title="Young doctor isolated on white background" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2010/03/dreamstimefree_2796690-199x300.jpg" alt="" width="167" height="252" /></a></p>
<p><span style="font-size: large;">T</span>he purpose of this post is to help people prepare for Step 2 CK. I purposefully did not title this as &#8216;How to get a 99 in Step 2 CK&#8217; even though I got one using these preparation techniques. The reason is that it takes more than knowing how to prepare to get a 99. How much sacrifice and effort you put into your preparation is most important.</p>
<p>Some of you may already know me, from my post on how to prepare for step 1. I posted it in answer to a question on &#8216;What to Do&#8217; in Step 1, and it&#8217;s purpose is to guide people in how to prepare for step 1 rather than how to get a 99 even though, again, I got one using those prep techniques. I&#8217;m posting a link to that thread:</p>
<p>For those who don&#8217;t. I am an Old IMG from the Philippines. Graduated way back in 1989 at the top medical college in my country. I took Step 1 last April 24, 2006 and got a <strong>99/256</strong>. Took Step 2 CK last November 20, 2006 and got<strong> 99/258</strong>. Back in late 2004, when I started this journey and like most of you dreaming of 99&#8242;s, whenever, I see someone posting that they got 99&#8242;s, 2 things always pop up in my mind, wishing that it was me and wondering how it&#8217;s done. And always, when I read what they write about how they did it, it talks of what books they read, what lecture they listened to and what QBanks they used. Of course, the problem was, everybody seems to be doing the same things and most of them are not getting 99&#8242;s and some are even failing. So the only conclusion I can make is the secret does not lie in the preparation materials rather in how you used the preparation materials. And since different people have different starting points and different capabilities, their preparations and the materials they used must be adjusted accordingly.</p>
<p>Someone once asked in this forum if the reason I know so much about USMLE is I had taken it before. The answer is no, this is the first time I am taking all Steps. The reason I seem to know a lot about it is that it has always in my nature to know as much as I can about any task set before me. I have never failed an exam in my life and even though USMLE is supposed to be really tough especially for old Grads, I&#8217;m not about to let this be my first time. So, I set out to discover as much as I can about the exam, analyzing it and planning out what I hoped was a coherent well thought out study plan taking into consideration my special situation (a very old graduate) and my own prep capabilities.</p>
<p><em><strong>It is not enough to study hard, one has to study smart too.</strong></em> I believe that with proper prep and hard work, anyone can pass this exam, hence this &#8220;what to do&#8221;. It is also my belief that with proper prep and really hard work, most can get high 80&#8242;s and even 90&#8242;s. Someday I&#8217;ll probably write a post about how to get double 99&#8242;s but for now I&#8217;ll stick to proper preparation for Step 2 CK.</p>
<p><span id="more-289"></span></p>
<p>So How do you prep for Step 2 CK? Well, for one thing, most of what I wrote on how to prep for Step 1 still applies to step 2. KA, KR, TP still applies, although some details differ. What to Master, Know and Be Familiar with still applies although the emphasis is radically different. There is enough differences that if you prepare for both steps in exactly the same way without adjustments, you will tend to do better in one than the other. Explains why double 99&#8242;s are uncommon though.</p>
<p>When I started my own review, I was approaching Step 2 CK in exactly the same way I was approaching Step 1. I chose books using the same criteria, looking for books that discussed important concepts in more details rather than just using review books. It wasn&#8217;t until 6 weeks into my review that I realized my error. There is a difference.</p>
<p>Firstly, in Step 2 CK you have to master the horses rather than the zebras. You have to know the variations in presentations of common cases their workup in detail and their treatment, including diagnostic criterias that determine whether treatment is even advised or not. Zebras still are important but they are as rare as in real life. Most cases will be typical appearance of common diseases. Atypical appearances of common disease are also common and responsible for a lot of the vagueness. As for zebras, you just have to know enough that you don&#8217;t mistake them for horses.</p>
<p>In Step 1, there usually are more zebras than in step 2. The reason is that in Step 1, you are studying important basic medical science concepts and sometimes, these concepts are best illustrated by rare cases. For example, Prader Willi Syndrome is rare and yet illustrates a very important principle in genetics, namely imprinting.  Another example, Lung CA in Step 1 will probably be Small Cell due to para-neoplastic syndrome, rather than AdenoCA and Squamous Cell which you expect to be more common in Step 2.</p>
<p>Next, whereas Step 1 emphasizes facts, Step 2 CK emphasizes decision making. Where Step 1 tests how much you know and understand about medicine, Step 2 concentrates primarily on your ability to use what you know and understand about medicine in decision making. 60% of what you need to know in Step 2 CK, you&#8217;ve learned when you did Step 1. But the 40% you don&#8217;t is just as important(Which means unless you are a fairly recent grad, you still have to read Texts). Then you have to show that you have the ability to use what you know in clinical decision making.</p>
<p>In Step 2 CK  75% of the Q&#8217;s deal with Diagnosis, Work-up and Treatment. The other 25% covers Pathophysio, Preventive Medicine, Biostatistics and Ethics.</p>
<p>The most important skill one should develop is the ability to diagnose the case presented even if the clinical presentation is vague. Even though most of the question will deal with Work-up and Treatment and occasionally pathophysiology, you still must be able to diagnose the case BEFORE you can even begin to think about Work-up and Treatment.</p>
<p>The major complaint of a lot of people (including me) about Step 2 CK is the &#8220;vagueness&#8221; of the questions. And the reason for the vagueness of the questions is the way the q&#8217;s are constructed. Clinical cases are almost never presented classically in Step 2 CK which is so unlike Step 1, where almost all clinical case presentation is classical.</p>
<p>Someone who prepares a Step 2 CK clinical case will usually begin by writing down all the classic signs, symptoms and laboratory results for a certain diagnosis (as is done in Step 1). In the second pass, he will eliminate or alter a lot of signs, symptoms and laboratory result from the presenting case so long as it does not alter the final diagnosis, ie. If you really look at it long and hard, you will realize the diagnosis remains the same. Now to make it even more difficult, on a third pass, he will add signs, symptom and laboratory results that although positive will not really alter your main diagnosis. To make it even harder, he will put on even more irrelevant positives and negatives so you have those kilometric case, that&#8217;s so hard to read, understand and clearly time-killers.</p>
<p>Why do this? To test if you can decide which diagnostic clues are relevant and irrelevant. In actual medical practice, patients never present classically, and part of being a good diagnostician is the ability to flesh out relevant and irrelevant facts. Which is one of the reasons why people with longer clinical experience tend to do better in Step 2, since we usually study classic clinical presentations in med school. Whereas, people with longer clinical experience tends to experience a lot of atypical cases.</p>
<p>For example, whereas, the classic presentation of Sarcoidosis is a black, female, in Step 2 CK don&#8217;t be surprise if the patient is a white male instead. SLE is possible in males, although classically , patients are females. Not all patients with Lyme Disease will present with rash. Therefore, being able to diagnosis properly despite missing or over-abundant information is crucial to doing well. Atypical presentations abound, but they still will be common cases, therefore be careful not to mistake them for zebras.</p>
<p>Next, for every diagnosis, it is important to know how to work it up and treat them. However, for common cases, one should know in what order work up and treatment should be done, what steps to do depending on diagnostic test results and what to do next depending on the outcome of treatment already done. For some cases, time since presentation, is an important factor in what actions one should take. I&#8217;ll illustrate this further next time.</p>
<p>Actually I wanted to finish the whole of part I first before posting this, however, my step 2 CS is on March 23 already and between reviewing, trip preparation and work, there is limited time to write this all down before I leave for LA. Since, I&#8217;ve received lots of PM&#8217;s on when this will be posted, I&#8217;ve decided to post this. I&#8217;ll try to finish them by April. There are 3 Parts, Part 1 deals with the difference between Step 1 and Step 2 CK as well as things to note about Step 2 CK. Part II which deals with preparation materials (Kaplan Notes still the best, not because it is really great but others are just not that good) and Part III, which deals with specific prep problems on Step 2 and how to deal with them. I&#8217;ve chosen not to rewrite preparation methods common to both Step 1 and Step 2 and advise people to just read my Step 1 post instead.</p>
<p>I would  also like to apologize to everybody whose q&#8217;s I&#8217;ve failed to answer, or took a long time in answering due to time constraint.</p>
<p>Anyway, if anyone has any questions, I will be back after the Holy Week (fon non-christians, Holy Week is first week of April) and unless you&#8217;re in LA at the Hacienda Hotel between 16 and 24, I will be seeing you then.</p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;</p>
<p>Sorry for the late posts. Took an extended vacation. However, now I&#8217;m back and we&#8217;ll continue the discussion.<br />
Let&#8217;s take an example of a case, say Acute Cholecystitis. You have to know how to diagnose it first. If diagnostic workup have not yet been done then, UTZ Abdomen is next and depending on findings either further diagnostic workup is needed or therapy. Now for therapy choice is cholecystectomy or cool it down first with fluids and anti-biotics. Here time of presentation is important. First 72 hours after start of symptom, you operate (laparoscopic cholecystectomy first choice), after 72 hours, cool down inflammation (with fluids, antibiotics) before scheduling elective cholecystectomy 5 to 6 weeks later. (Of course this is not complete as depending on diagnostic findings and therapeutic outcomes, other course of action may be needed. but this will suffice for illustration purposes only.)</p>
<p>The actual case presentation may end anywhere in this narrative and you are expected to know what to do next. But first you have to be able to diagnose the case since it will be presented as a case with no diagnosis.<br />
Another example is Acetaminophen poisoning. Here time of presentation is crucial. On first 2 hour, gastric lavage, 2-4 hours activated charcoal, at 4 hour draw blood levels to decide if will use acetylcysteine. This case, time of presentation is most important criteria to decide what to do. (This case actually illustrates another problem with Step 2 CK since other sources will insists that lavage and activated charcoal is only effective first 24 hours. Will discuss this further later)<br />
Now don&#8217;t get me wrong, only about 20 to 25% of the q&#8217;s will be of this type, the rest will be more straightforward and they will mostly be the more common cases. However, since we don&#8217;t know how common a case should be for USMLE to consider it common, the more cases you know how to handle this way, the higher the probability you will score high, since you&#8217;ll be able to answer these types of questions and still be able to answer the more straightforward question. Another advantage is that a bigger proportion of Step 3 questions will be this way and it will help you to have a leg up when you prepare for that.</p>
<p>So the best way to study for Step 2CK is to find diagnostic algorithms and therapeutic protocols whenever they exist. Kaplan Notes have good protocols but not complete. Step Up Medicine have some protocols, but others are just lists of diagnostic and therapeutics done for a specific case (no indication of which comes first). Blueprints also have a lot of them. I&#8217;ll discuss them in more detail in part 2. You can also learn them in UW and Kaplan QBank although usually it is not presented in complete detail since the q&#8217;s are focused on certain aspects of each case. The best way is to know them beforehand and see how they apply when you answer the QBanks.</p>
<p>If given a specific case, say acute pancreatitis, you know step by step workup and treatment, then you have mastered that case correctly.</p>
<p>Now another reason for the complaint of vagueness of the exam has to do with the fact that even when you have diagnosed the case correctly, one or two variables in the presentation can alter management acutely. For example, Primary Hyperparathyroidism is managed surgically except when patient is over 50 and asymptomatic. Another example, a patient you have diagnosed with hepatitis may be fulminant or suffering from hepatic encephalopathy, which changes your therapeutic and diagnostic options, and you have to be able to recognize them clinically, since the case will not tell you outright. If you noticed that all answer choices seem correct, you may have failed to notice tiny details that changes the clinical picture entirely. In contrast in Step 1, once you get the diagnosis, that&#8217;s it.</p>
<p>One way to cover this is to know diagnostic criteria for interventions. For example, Thrombolytic therapy can only be done if there is an ST-segment elevation in 2 contiguous leads on a patient with pain onset within six hours. Failure to meet this criteria even if the case points strongly to a diagnosis of MI means you don&#8217;t do thrombolytic therapy.</p>
<p>Now, around 15% of Step 2 CK is pathophysiology, hence if you did step one and mastered pathophysio, you have an advantage in Step 2 CK. Kaplan Medicine is not heavy on pathophysio, so Step Up Medicine is a good supplement to cover this. (It&#8217;s not complete, but short of going back to Step 1 Patho or Harrison&#8217;s and Cecil, this will do.) Although most pathophysio questions will be straightforward (After an appropriate clinical case presentation which you have to diagnose first), there are what I would call &#8220;Applied Pathophysiology&#8221;.</p>
<p><em>To illustrate:</em></p>
<p>Patient has acute shortness of breath and xray show whiteout of both lungs. You know it&#8217;s either Left Heart Failure or ARDS. The case presentation will be vague enough that you will not be able to pinpoint if it&#8217;s one or the other. The question asks you what to do next. Knowing pathophysio of Left heart failure is increased pressure in left heart causing backflow of fluid to lungs, vs. ARDS where fluid in lungs is secondary increased capillary permeability, answer should be Pulmonary Capillary Wedge Pressure or PCWP.</p>
<p><em>Another case:</em></p>
<p>Patient have recurrent episodes of gout. You are asked what to do next. You already know that you don&#8217;t treat hyperuricemia on a single attack of gout. The list includes treatment with probenecid and treatment with allopurinol, and treatment with colchicine. Of course the right answer would be to measure 24 hour urine uric acid and if high give allopurinol and if low give probenecid. Colchicine is used for acute attacks. Knowing pathophysiology is important in answering this question.</p>
<p>Now we will pause here and will continue with Part 2 next time.</p>
<p>&nbsp;</p>
<p><strong><span style="color: #339966; font-size: large;">Related Posts:</span></strong></p>
<ul>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Three Phases of USMLE Prep" href="../three-phases-of-usmle-prep/" rel="bookmark"><span style="color: #0000ff;">Three Phases of USMLE Prep</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to NBME Self-assessment Tests and USMLE Review – An Update" href="../nbme-self-assessment-tests-and-usmle-review-an-update/" rel="bookmark"><span style="color: #0000ff;">NBME Self-assessment Tests and USMLE Review – An Update</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Most Common Mistakes in Step 2 CK Prep" href="../most-common-mistakes-in-step-2-ck-prep/" rel="bookmark"><span style="color: #0000ff;">Most Common Mistakes in Step 2 CK Prep</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to How to Create a Study Plan for the USMLE" href="../how-to-create-a-study-plan-for-the-usmle-2/" rel="bookmark"><span style="color: #0000ff;">How to Create a Study Plan for the USMLE</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to What to Do on the Day of the USMLE Exam" href="../what-to-do-on-the-day-of-the-usmle-exam/" rel="bookmark"><span style="color: #0000ff;">What to Do on the Day of the USMLE Exam</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fwhat-to-do-in-step-2-ck%2F&amp;title=What%20to%20Do%20in%20Step%202%20CK" id="wpa2a_10"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/what-to-do-in-step-2-ck/feed/</wfw:commentRss>
		<slash:comments>17</slash:comments>
		</item>
		<item>
		<title>How to Master the USMLE Step 1 – an Introduction</title>
		<link>http://blogs.askdoc-usmle.com/how-to-master-the-usmle-step-1-an-introduction/</link>
		<comments>http://blogs.askdoc-usmle.com/how-to-master-the-usmle-step-1-an-introduction/#comments</comments>
		<pubDate>Thu, 04 Mar 2010 18:31:53 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[askdoc prep course]]></category>
		<category><![CDATA[examination]]></category>
		<category><![CDATA[introduction]]></category>
		<category><![CDATA[lecture]]></category>
		<category><![CDATA[Live lectures]]></category>
		<category><![CDATA[step 1]]></category>
		<category><![CDATA[USMLE Step 1 Prep]]></category>
		<category><![CDATA[viedeo]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=282</guid>
		<description><![CDATA[<p></p> <p>Hello Everyone, this is actually my first time to try posting videos in my blog.  So please excuse the effort if the quality is not too good. Hope to get better at doing this in the future.</p> <p>A lot of people think that all they need to do in order to do well <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/how-to-master-the-usmle-step-1-an-introduction/">How to Master the USMLE Step 1 – an Introduction</a></span>]]></description>
			<content:encoded><![CDATA[<p><img src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD//gA8Q1JFQVRPUjogZ2QtanBlZyB2MS4wICh1c2luZyBJSkcgSlBFRyB2NjIpLCBxdWFsaXR5ID0gMTAwCv/bAEMAAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAf/bAEMBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAf/AABEIArUCtQMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/AP79sH1/T2I6Zx39hkdKTb7+3T/e9/c9PypQfpjA9OvPTnHb1pC3I/HP68Hr07/mKAAKRznk+o+nXnPbHtShSOhP5Dt/9bj9aQP/AE7denofr/nggYHn0HOf6H39OM8YxzQAuCOhzkkngdcHnr644+lJsP8Ae/IY6fj27elKSPyz6dgR0zn3pN3+0OuPqP0H1xwOx9QA2+/XJ6dz364/n7YpSvv6Y6nHP16+/HGfXNG4c57e34Y789/oaC3PpgjPGe49+Mjue3uMUAJtx/Fyc9ue3PBz+fFKVPr65JA9APw6f400tjgEgjIPf+ec89OnHHFLv+ucngD9Ox9Oo9fwAF2n1yP1zjGQSTjnkYpNh4+bp7e+fX/OBS7uAT6Ang98cdD6+uf1pC3TGeme2fy9RyTngfXGAAKk/wAX14zzgDnn0/nS4Pr6YyMkYxzz64/r16pu6+54HXsO+QB6kZpd31PA647468gdxwPz9ABNpHfHbOP93Hf2/P8ACl2n14wB07D8fr+dJnA6nt2B6be2ff17n2oDe/brjjPA7Hpz0IHuR0oAXB9R37Y69+COff3o2n19fXvn39/880bh6EfUe2f5c+tIDnJz2J447tyPXtnI+tAChSMcj8uPyzj8se+c0bT6/TAx1x6Een+OaaG6+mDxjHYHnv146nJP0yobPXpj0PXjOOTn+g/GgBdpznPP098+vPp9PzpNvX5vr37Drz+I9M/SlB+Y9uPf198c8+/1pNwHHJ6Y4HTAP59x/nAAu05yT69sdePXPYd/xoKn17HsOevPX3+meaNwz19c8fX154xzgdcdOlIWz6jgn3zhh0zxjn/63cAXb15HrjHvnnn6jtRtPr2x0GPy/Afl6YwhbBP054HZiOv17enOc9V3Y/8Arc8evbjg/oe9ACbTnr2689iCO/tnj39sKFIxznH19sd/b6c9KQNnHrjHOPUZ7/l+P0Cgjjk8gd/oOfQ5PIHvnNABtPrn6gH+f6nvx+JtPr3J+mfTke/+c5QvjH88e3Ueoz79vxo3e/IycYPYdDz/AJI+hIAu09M8HPr7+/vz645o2nnnqfTp1zjnvmjj17nr/wAC/IdecjpSZxn2PPGQAcn1656n1OOmKADYf7314+v5dfz5pdp9f09Nvv7fzppcc/pkDA9Omfx5yD0HamPPFEMySqgA/iZR2U9yM9+2euKAJdvuOgHT0GP1/wA8Um0/3v05/MEHrzj+dY1x4i0i0H7y7jyo5CnPT8cfr+Oa5m9+I2h2uQsquRn+JRxz2yc/pz2xQB3+0+uMZx19Tjv7/wBPXK4Pr39O3PB59/avD774x6dCCI2hGMnO4HufU/8A1q4y/wDjrEmdlwi46fMoxn6Y/r9KAPqIrj+IDPsAfXr1JyMn19uzWZFzukUd+Wx6f7Q/Qd+O2Pi2++PQGf8ATPw8z27cjA9/SuTu/j31/wBM/KT6+/T8uATxQB98tcW6/euIgRwcuox09W68ZPc1G19ZDrdwjGM/Oue3JOeCcCvzouPj51/038fM/Xr+P0JrIl+PfP8Ax+/nJx9OT+IP/wCugD9KjqNgDzeQdP7y9MY9R2o/tPT/APn7h7/xr33f7X+1X5kN8e/+n38DJyPpzTR8e8H/AI/Me/m5x/49QB+nYv7EgYvIPUYZR/XnoD7/AJYkF3atjbdQtyCAHXHUdBuA4/XJ71+ZCfHv/p9PpnzOvTgDP+PpWlB8e+R/pv8A5E9PTnt0Hv6UAfpUssR4WZD06MPb/a9sfj6VJwejAjjA4I6Y9efp64/H87bX499P9N/8if8A1z6YHuB6109l8e/u/wCm+n/LTj+fQ/ofyoA+7Np9e2OBgfkPx/znKFSf4j/nt1z9ck549K+Q7H48K20G8B5HBcZ/Xg/Wuzsfjday7d8sTZ9QP6YoA+itp456Z/HOevPP/wCv14TYf736euc/zP0ryiy+K+kXO3e0Yz/dcD885H6/rXV2njXQ7vbtuVUntlSP554+g/HNAHWbT6+vb1x79sD+nsu33HU9vXHGM9sZ/wA80YdTsbgfubmF8jjDAdvQkHrnp+dXQ6kAjBz6Hj659D64oAUqfXr7D9PTkn359eSbevPv0z6+pPbj3xzkZBC2Af6Dp6Zz65Hb160Bgcnn249Oeo4/l75oAApBzn9Pp7+3Pc/XmjaeDkZ9wP8AHj8O+T9EDAk+3rj1Hp9fXpzz2C/OMH8uc59Mjt/MUALt6c9M49ecj9P1/LCbTnO48Hp+OfX8/U80b+nPrnjHr6n8un17UFsEehxyQe+e5I/lx+GKAFKn1756Z9OBzwMjP+eU2H+9+nsAe/t+XFLuHXtkg8HqMcdsfl6/Ut3/AInnsPT27e+ScZ+tAClc9x37epz6/wCR+q7TzyO/bkc5659ef5Y4whcA/QkH8xz3/wA+nddwyR6dfw+mff8AQd6AE2n146dO3vgjPHHNG0nv29Ov6/5PPYYC+PXp6Dnpgjnp170pYD1z+XTHY+ue2Tj6UAABAxn17c8++evPX6e+Tb7988AD/PBPX/HIGGM8+vvjJGeOw/T37t3/AIevGf1z6e3r9KAHbT69yen09+2OvXPOc0BSM/Mee/fv7+p5/H1pAwP+fTB6DJ/nnn6UbuDn27EHB/E/h07c80AKVJJ5x7AfX/E59aTafX9PcH19vyoLYyMnr2HOPxPP68dhRvHJxx34+g/Hr7cYoANuO/6e+c9e35e1Lt98degGOfb8T+f1ygcc+3P5n3/Dv+XQLu7/AKDkn+XTIz17jtQAm0+vt0+vGM4/DGOBxRtOc5/T3z6+v689aA+fXuTxnjPHTpx1z/8ArNwzjnrjt649zz789PXNACkE9/pwD/8AWz7+59eDaeeeuO3HHHT6Y/n6YC4GMc5x+XfHuP6/Wm7/APOP8Sf6/Q9AAKVJ/iP+Tx37dvzHWlwfXtjpxxjnGev/ANb05C3GRzyR0yOM++PfPp9ODd/LPQ+ozxnt9Tjn8QBNh/vfpx2xx+A+tG33z06j0JPPPuc9P55C4/yBj/H8Djj9TcO/B6/rjB79uf69KAFC4xyOPUZ7k+vHX9fphNp9f0/qMEcYHGKXcOPcZ/x988ccc0hbH5jp0HPIye/B7DtQAbTjGf06dM9/x+vPXGFCkZ56+319/c/j+RAwxnn8sd8c84PXnnHsKAwPr2HPc8+nc4/Pge4AFSe4/wC+Qf5/p6Cik3jJ4P8AX3zRQA3YfUY49f8AD3o2Hjke3Pr+HNPwQMcHj1I9fT8PTgY+ibWx1Ax/gR6DHYDHQfQUAN2njkZ69Tn/ACCO3egKcHBHPfJ6e3H+IP1FOAYeh59Tz09uuR17elLg889eh/DGen+Pp2oAYVIJJI7+p6g+v0P/ANejaQR07d/r9D27fhT8Nzz1yf5+wPp16Y9gKTa2cnHUHj2z7e//ANegBpU85I6889+fb6/Tml2t1yOPc9vw9qXDHrj9e/BHT0/r3wQYbvjk5PJ6cZH44/mOhoAbsOeoz9e34Dp2o2H1H5/0x7/rTtrevf169PUHngeo7cd1w3qM856/h+X6dPXIAzYT3H9Ogx2pSh46cDHp3/8Ar9f0zTsNgYx09/TsOnr29PwQqfl6cAD/ADwR+OOtADdrHuOue/fHQ457d6Xa3qOgHftj29QOacAwz0ye+TnoB1wPf3/nRhuenTuT/QD36Y6+wFADNpxjI6+p74x9e35+vQ2n1HIxzn8O30x+VO2n1HHA68fd749uw6/oYbnp04xkc8AHp2xx70AJtOOCOpz6cjH8vbvSBSMjK9OeT05Hp9fp+PLyGII459z+XT+o9885TaeTkAn0z7/4jn2HHFADdh9Rj6nHT6elAU8gEcj1PTPPb2x+f4PAYfTHTJ9Ppkc/kOMcCjDe35n1Ht9fbnpjigBoUg9R/M+vI/8Ar+/XFJtPqOmM57AA/wAh39M+9Pwd2eOBjuT19fXHuf1pMNx06gnnrgAentwfx60AJsbnkc59e4Pt7/hSFTjqMD3PbJ9PrT+fYcHofy4x24//AFcFCGx24z3Pv7c8dO+ec9aAEKsSeR6dT0z+OPTHtj1pNh7kfmc4/wDrAGn4Oe2O/X+8WHH/ANfj37mG7EdOck+3oPXOPTJxigBm08jI5Hr7j+v6jFLg44K8jHfocD09gPbOPTC4buR0689MjOenHB49z26U7q/tLJC09xHGFHILc8YzxnocHnHc+pIALW08cr7c/wD1vf8AWkK4GSwAHcnA+uSB6f8A66831r4l6TpquIpEdlBG5mAHHQgA5+vJzwDzXhnif45KgkCXSoOcBWAA7dAeOnQc8c0AfVN3rGn2Skz3USkckKdxxg55z74we/PXJriNV+JejWAcI6uRk5ZsDIz2yMdT/FXwL4m+Ov8ArP8ATP73/LTr78knt6V8/eI/jt/rP9Nx1/5aY/qv+f0AP0m1z44QwhxFcJGMH7rAcduQQfTnIHua8a1348ff/wBN4wf+Wg57+v8AP8gOD+Z+sfGy6vJWgs3uLqZs7YbdZJ5T9I4lZySeOFJz3rk5tc+IGtEm30y4to36S380dmFz6wuxuhjqcW5A55zXy3EfHHBvB9L23FXFfD3DsHHnj/bOcYDLqlRdPY0sVXp1a8ntGFGE5yekYtnpZfk2b5rLlyzLMfj3ezeEwlevGL6886cJQgldXc5RS6tH33rXx4+//pvr/wAtD/j/APX4PcZPlWr/AB5+9/pvqf8AWf8A18/j165r5TXwh4svyW1HX4LVSfmjsoJrtu3Alne1C/XymGRwOM1fh+Gelkhr+/1fUGP3lku1t4iSR91LSKGVR65mZvev584j+mj4A8PupTo8T4/iKvTupUeHskx9Zcy6QxeZwyvL6t7q0qWMnB3+LR2+3wPhPxpjUpVMDhsvhK1p4/G0Iuz6ulhniq8bdVKkpeR6hqvx6wW/00d8Zk7fXJrz7UPjyWYhbzLHIADlmJ9gCcn6Vetfh/4XtzldDtJcdDdo98f/ACeefJ7g8kevSujtdDsrMbbWytLZcYHkQQw9O37pBx3x7j8PxLO/2i/BeGc/7A8Ps/zNK/JLN85y7JW9rOUMHh8/S3u4xnJ9E+p9ThfBHHSS+vcQ4HDv7SwmEr4xLa6TrVcC3vu4p9bWPLZfi3r16f8AQ7HV7rdnH2exvJy3/fuFuP8APfNUJPGfj26z5Ph/XTnJ/e2k0H/o8R4z+HHvXuK2J6AD0xyffkYGPX8qlFjgjjn12Egcdzn8P8ivzPMf2j3Ek3L+y/D7hvBroswzbM8xa2td4enlfNv2hfyPbo+CuSwt9Zz7Maz6+ww2Gw1/h2VT601u+/Rb6HgLap8Tp+Y/D96Ae8l7psJ/KW+Q/p3I4qBm+Kj5P9iMuezarpX5HbfMOO1fRH2E4z7DjAB4+v8AUn9eXfYRwNv6r/h+WB9a+Tr/ALRbxVk/3HDfh1Rj0vlnEdWa20cpcVQi3rbSmvRWaO6Hg5whH48fn9R/9heXwXTossbXX7T+fX5vaH4qn/mEqf8AuK6eCPb/AI+v1zjrULJ8V15GhM/sur6V/wCz36jv3/Cvpf7Af7rfp/8AE+38vak+wgcY/VeP0/xrmh+0T8W09ck8O6m2ksnz5Lpf4OKoPunr2s9Nbfg9wc/+YvP16Y3AX6d8ta79HttsfMbXfxVg5fw5fMB3ivdMmP0Aiv3J+oBGKhbxT8RbX/XeGfEPHXybGe47dvswmyB2IyM19QfYT6Y/75OfpgGmGwyScE5x1X/Ajp/n1r2sF+0a8QoyX17g/gTERXxLCUs/wcnttKrnmOUXZ/yv0Oep4M8MS/g5tndPs6k8DWV9FtDA0e97XXa+p8un4qeJbD/j+0vXLPHX7Vpt/b4A68ywKOMdfUD1q7afHllba12ysDgqzkEHvlScjPfI4r6RaxPQgc+xz+fPHtj8e1Zl54f0++Xbe6dZXikYIuraC4G36TRsMZOCMd/z+8yn9o/FuEc58MaE07c9bLOK50XFXSbjhsVkVdTtd+68XT23PKr+COGlrhOJakH9mGJyyNRO9t6tPG0+W191Sl6b28y0/wCPX3f9N9BzJ/I5zXeaZ8evu/6YB0/5an+hNYF98KvA19nzfC2mRFvvPYwNprH1O/THtW3erZyfU9uNvfgR4WlLNp17r+jsPuC11FbmJT23JqMF5Ky/7InRjj745r9cyH6f/g7mTp084yjjDIKkrc1WWBy3M8FTTtdurg8zWNdm+mXarbXQ+exfgvxJSTlg8flGOitoKtiMNWe1vdrYf2Kvdb4jTrpqfS+lfHnJX/TfT+PA7ds8/wAsda9R0f488p/pv/kT8OcHP+eO1fnVd/BfxdY5fRPF9tdD+CDVbK4tDx0DXVpLehvci0QD+72rnbjSvi94dy0uhy6nDH1n0a8gvs4/u2u+HUCCBkYs+OnU4P71wz9JDwO4tdOGUeJHDtKvV5VDDZ1iKvDmIc5WtShSz+jlrq1LvlUaLq87/huas38fmHAHGOWKTxOQY6cI3bqYKMMwhyr7TeBniOSOzbmo2XxJH7I6J8eOU/009R/y07/n/L9cHPsmhfHcHZm8Bzgf6wY7dsn8v5ivwEtPjHqmkXC2urRX+l3K9bfULe4s5xg4OYrhIpBg8H5euBkcV6xoHx4Pyf6b6fx/T3/P9QOtftNDEUMVRp4jDVqWIw9aKnSr0KkK1GrB7Tp1acpQnF9JRk0+jPkp050pyp1ITp1IO0oTi4Ti1upRklKL8mkz+gPR/jHp92FE7xMTjJyAefcEAnr1wfrXo+n+MtEvwNtwqFscFgRn6j8e3HGa/Cbw78d/9X/pn93/AJaf1z/X8K978N/HYHy/9N5+XnzBx+bVqQfsLDPDcDfDNHIDz8r9e/IHI/Sp9p9V/P0/D2/Q1+e/hj46/wCr/wBNznb/AB/4nB/CvoTw78Z7W6WNZ5o5AcDlufrng9+hz60AfQmw+3tnPf6j+g/CjawIOR1Hrx6dvw/IVzGmeLtI1NUMdyiMw+6zAgkgDr069AQBz15zXTIyyANG6spwQVbcOoOf/wBWP50ALsPTI7/09vpRsb1H5n/CpOc9u/r/AJ/wzj3LSG9umOST+Qx19+T1zmgBpRvY/n3/AA/OjY3cj3yT9ef50/B5xj25OPxGMHjj2H0GDB+v9ent9c8e/HGABmw+o/P/AD6H8qXacdQeB36gfh7Dv/Olw/qPTv8A5/Hrz9MBDdiOg6k9cckccf5/AAbtPqOenJ6dP6/rx1o2H1Htgn6+n+cinYbjnsQfx9OOO39B6rhvb8z/AIfy9O/OQBmw+o7/AK/hRsPIyOMH/wCv06cn8RTsNznB69z7H0yMEdO/4UoDDqQfzPr9PX3z6igBmxjnkc9eT6/T1o2N6j8z/hT/AJvbqe56fiD/ACx6D0TB9u+Mknk46nHPAx9ODQA3Y3qP1/w9v5UbD6j25P8Anqfzp4De35kn9R06fkDzyCEN2x36/j7emPbI6eoAzac8Ed+/JGPoex96Njccj25/H0+pp2G7kd+hPof/AK3Jz0+uTDZGSOP1/Trjj6fU0ANKn1Xj3/D+n6GjYfUe/J6/l/nmn4bH59/XB7D6+nXj2QhiOo7c5P49u5H4cigBpQ89O5x/kCjafUcgflxjHH0pxDdsD15IzznHTHc8kHPX2pcMABxxj1H+f657Y5AGbG9R+v8AhRsb1H5n/CnkE56fmf1479xnH480mD7dycEjqc8f19fwBoAaEbjnH4nj9PejZ7r+f+fQ/l+TwG7kfh9Rnt3Gfx+owmG7Y9e/+A68/mT1xQAgU+o4Pr0P5fT/ACaTYfUenU/QdPrx9adhvUZyc8nBGBxjH/6u3sbWweRnIP5c+n0/L0GKAGlT1LLz7/j6e9FPIbtjv1J9fbH9f8SgBcn0P/jv+P8AnFJu54H15XP8/XFRYb0P5H3/AM/iaXB9DxnHHTr7evWgCTdnt78EdB36j+tG7OcD9Qfz+b9P19IgDzwfw9cjr/nril+bng8+3PUd+p+mfegCQnPb652nsffv+HGecUbuenfH3h/j19vf2FR4YknHXPY+h/yPegA5HBHPof8AA/1oAl3ex/Nf8aQn2x07rx+vp09e/FR4b0PvkH/Cj5ieQe2eP89cdiM0ASZPPBzzjkYwPx/Pr/Sjd7d8dV6+nXr7VFhvQ/kfTHb/ACe9KQ2ScHn1HP8AL/I4oAlyfQ/mP8aTJ7jkDnkDnr6+x+n51H83ofyOeMf4fzpCCccHjjv6/p6YoAlyeePpyvt7+p9O4pc+x/Nf8aiO44yDnJ7ew/woIY9j0A6Htj6//r59qAH5J7Dr6g/3ff8AL8Kdn2PXHVf8evtUXOMY9sYOf4f58UmD6H8j/hQBNn2P5r/jTQTk8dj/AHfU8nkdPr1z35pnOMAHv2PcAf40AEdjnB7HuCPX6du3tyASAnA4PTrkcn8+e9G72/Vf/ivpUYB9DjnpnuP8/wD16AGGeD0x09fw+ooAkzz07eq5/n0HP+RQCfTP0K+g9/X344qPkHOD+AI7jp6enfrSYPofTp9CP6UAS556H81/x9j/AJ6BPHT1HJXHf3/MfWo+ck4I69umf5df/wBdYeqa/pulIzXE6b1B/dhhnv1PQfTk5zkUAdBnGSQMDvkDjJ65Pp+uaxNS8Q6ZpiMZ7hN4B+QMN3HvnA/PI9K8E8YfGW3s1ljt50jUA/dbBPXqc5PXPp04GDn5J8a/HAHzcXmD838eO3OOaAPsrxR8YrSyR0t5UjChgCHG7pjBPr78Z44r5i8X/HL/AFv+mev/AC0/H1/H6giviDxf8bXlkeKK5eSRyVSOMs8jOTgBEXLMxPACjJ44zgV5XNdeNPEzlmB0m1c/6283G4KnPKWakSA5523DW568kYz8bxl4hcE+HuA/tLjTifKOHcK4ylRWYYqMcVi+T444DAU/aY/MKkd3SwWGxFRK75LJs9bKcizjPK31fKcuxWOqJpTdGm/ZUr7OvXny0KEW9FKtUpxu0r3Z9KeLPjn/AKz/AEz1/wCWn175+vP1PcV8/wCqfFXWtcleHSLe9v3yVLW6O0SE9BJMcQxf9tJF46kVBY+BtOV1l1Bp9WuMglrxyYAc5YLZoVhK9MCcTkAffwa7a206OFFjiiSKNFCrHGiqqgfdCogCgew9+PT+GPEX9oTwplTr4Lw64XxfEGIhzQhnPEVSWVZWpK/LVoZZh3UzLGUJae7icRk1ZO6cNFf9cybwWxdTkq8Q5rSwUXZvB5dFYrE2drwniaijh6M1d606eMg9Pe3t5gdI8Y602/UNQh0uJskxRlry5xnlTseK3QnnDLNPjrtPStWz+H+kIwe9+16tMOd19cO0ZPUj7NB5MBBPQSxyYHBJ5J9NisR6enX9eOh47HnnnpV1LRRjPOPQYH07Afr71/DfHv0xfGrjR16WJ40xeRZfV5kss4US4fw0ISs5U3i8HKOa4ik17soYzM8UnFuL0bT/AE3LOBuDMltKhlFDGV4W/wBpzNvH1G1a0lTrJ4WnJPXmo4ek09V0OYs9GtbNBFaWtvbRDBEcEMcKDjusShe5GSARzzWmlj0GDz7AfXqPXoBj6d630tcDIUYHcjoO31B7ZqwtsR6fh09fYY/E/rX8w5hxZi8ZWq4jE4uvicRWm51a9erOrXqzduadSrUk5zk3vKUpSetz6n67GnGNOmo04QjywhBRhGKVrKMY6Rja6SirfIw0sRx8o988np7nH6Yqwtoo/DHQenTjHP8AnjFba26+mfTgZBH0zn8/yqUQDsPx4H44Izj8P1zXz1biGb3qf+Ta9NGrXfXqcs8dLv0X4W6N36bamMtqOyk9z6c57HjOO2fb2qUWuOijvyOD9Txgcnv+prZERzkfpn+XA71ILc/3T17AD8en1wa8ypnc3b397dX0Svva3XotNPMwljZPq7LTte9v1XdMxhbZ9B+AJ/DnmpPs31H0XA/Un+dbItyRyp/EgfTgAdz1JPSlFv3JUdD1J6+vb+ea5JZzO9ud6W2tu+W/rra3UxeLk7e9fa1n5rTfvvvt81ji1Hc+nUD9QQf5daX7MB2J/EY/LAH4YraFsWOFXJ9AuSemcYJ/lgflV+PQtSmAMOn3svHWKxuJAc+6oRj0ohj8ViHahCtXemlJTqvo7Wpxb/zu973WcsZyWc5xiu7kv7vV/wDA+Kyscv8AZx/d/wDQaT7MD2P5g/XjBGPwrtF8K6633dD1huP4dLvD7Z4g9fwz+VMbwvriZ36Lqy4z97S7xcdeuYR0/Doa6bZwkpPLsxSW7eExVre7fV0rdPxXcz/tCk3b29NtW051vp5979Ounlxv2QDoceuMc/oP1ppth05P1HGf06e2Priunl0e/gz51hdxAZ5ltZY/pkui/wAhVQ2xBxgAg8gkgg59h/8Aq9B0rCeZYmg+WrGrRf8ALUThJPRXtJRt11tv2NY4y6VpxktPhkpdtd2tfK2m/cwDbY9PyAP488f5IqM2p4JXg9z29ge/44z7Vvm3IHQ9ex6fhg8fj6e+WG3bH3T+QOfwHftn0q6edTSXvPX0a6a76vXf8NTWOMkre99zWjVvk/u+WxzrWoHVRn1GOeeuBz/X1qBrQcDkZz1/z1zz+A7YrpTEepHHuDx+ef5+/WozADnIPrxj649ePTn0rupZ9NW99ra+ui+HW2uuv5vrrvDHNWu3pbf5Wf6P59DlmsRzgD2xx2Pp/h+B4qpJY+x9xjd+YGD3z+HNde1uh6ggnnPTn2HH+f0ga19OcnGDyMds98fUjr2r1sPxFUjb9476ddtFro0vvXZ9Dpp5g19q1n306bdPPVXOB1DQrHUoHtdRsbS/tn5a3vLeG6gYc9YZ0eNuOOVPU++PI9c+A/gPUy8lpY3fh65ckifQrp7RFPYixnW504AHtHaITyAwGMfSL2x5yoI/Dt145Hbn/Gqr2inPBGTjBGQT+ufw49ecV+mcHeMPG3BVeOI4V4tz7h+pzqc45VmuMwlCs1bTE4WlWjhsVB6Xp4ijWhKy5osyxuGyjOIKnmuXYHMI/DF4vDUq04J2V6dWcXUpO20qcoNdGj4j1T4JePdDLTeGPEVnrkKZdbPUVk0u+2gcRxzI11ZzuePmmewTk5AK88fL4z8b+CZli8U6Lq2jqrhBdXELyWEjZxth1G3aaxmY5GBHcMeRkciv0Aksc9F7c4wP0wV/r/TLudNjmjkhlijlikVkkjljDpIjAhldHBR1YHBVhgg4IOcD+z/D79oL4k5N7DD8ZZfk3G+BjyKpXnShkGduC5V7uNy2i8tlaL1dbJKlWpJJzr3cm/z/ADbwi4XzFSnldfFZJXabjGM3jsFd2d5UcTNYhK72hjIRir2hayXzR4X+Ov8Aq/8ATPT/AJaD/HBx6EA819JeFfjpny/9M9P+WmPx/Pv27nmvFvFHwC8C660lxZWU3hfUW3MLzw86WcTMckebpjpJprqXG5zFawTSZP8ApAOGHhetfCn4p+C2e50WaHxhpsR3f6D/AKFq6RryTJplxKyzFQQAtjeXc0h3f6OgxX93+HH0w/BfxBdDCVs7nwbnNblh/Z3Fio4HDVKrsnHDZ3Tq1cpnBzlGFJYvE4HE1nJcuFTvFfk+eeFvFWTqdajhoZxhI3ft8rcq9WMd06mDlGGKTtrJ0qdanHrVtqfrv4R+Of8Aqv8ATPT/AJaD/H6/r6V9R+EPjgG8oG7DD5eC+Qc+oJxz1PHoK/nV8PfGS+0y7NjqX2rT762fy7i0vo5rW6gkGCUmt51jliYd1dFOMnHIr6d8HfHH/Vf6Z6f8tO35jBP+e1f1JSq069OnWo1IVqNWEalKrSnGpTq05xUoVKc4NxnCcWpRnFuMotNNppn53KMoSlCcZQnFuMoyTjKMk7OMotJpp6NNJp6M/oY0D4k6VqiIJZEVmAG5WHJPUkZ6fT8K9Et7uC5QPBIsqkA5VlPX1GQf0HNfin4M+OH+q/0vk7cDzOg/P/Jr658E/G3PlZu/7v8AH/8AXqyT763f5yv+NG72/Vf8fXivKfDnxL0zVkiSeRAzYAdSOpx1HQ/hj1r0uG5hukEkEqyqRwVIJGexA5B/D6cUAXM+x/Nf8aM+x9eq9PXrUWD2B/L/AOt/k8/Q+b0PTHT6ZPTnp356c5AoAlz6An8R/jSbuen4ZXP/AKF9aj+Y4BB49vy7f5z+aYPofyoAmz7H8x7e/v8AypMn0PPTlfw7+n/6zUeGxjDd88HHajB6YP5HtnH86AJN3t3OeV/x9x6f0pc+x/Ne/TvUJByeD+X+FL83PB59ueufT/P5UASbvTn8V/ofwpd3sfzX1x6+vH1qL5gSQDz7e+fT/D8uKTB9D+X/ANagCbPseenK8/rRu9j+a/41FhvQ/l/9bH+fXmj5uDg5GecZ659v89e9AEuT6H8x+Hek3cZxn8Vx/M1GQT2P5fl/nApMH0P5UATZPoevqv49/r/9akz7dMZ+7/8AFcZ7f1qMhiejH0yD/n8qMNzwegH4DGO3t/kA0ASZ68H816fn65/zxRu9iOndf8e9RAH0PI9PofSl+bGMHpjp7554/wA/nkAk3e36r9B3pd3sfzX/AB9j+VRYbGMHH0+vt70YPoc/T/63/wCr+QBLn2Pp1Xr6daM+x/Nf8aiAI7Hrk8dfbOM/rR82CMHn27/l6ccYoAlyfQ/mPw70VDg+h/I0UASBvfuB+p46AdB1wOvsBQW46/5IbHrkZ7diO4pdw568cYx35/n/AIdKNw/yD159vb+fpQAzcO3H64xjp+A9ue/Awobknpx04x1xkntyemPU96duHv6dD7e3vilDA+v5GgBpJ5x2z27gN3zg9M9PSk3ev94dxwP0Pr274PpTiw9/fg+h+mPX/wCtzRuH9OhyDz/+rFADSw5x2I9Pfvzx7cHr70FhnjHUcnHt079hnJ7Y44p27Gc5x9D7eox1z39KNw9fzB/H/PagBhY54zjn29QCPp/MfQBxY46dc9x+hye3T14I9KXcM4579j2/yemffFLuHv8Ake3Xt2oAbuwOnYdO2Rn0P4dffFIWxj/d78gc+gz0xx39eRgv3DvkfUH/AApC2Mfhng8AgnOf/rdj+AA0k8nA6nn3wMHnP1AHbv1y7dx27HGcdfTn+Z56HqDRvHrnnjj6f59f0o3D1/Q/4e4/OgBueD3/AJcbOo9vw74xngDckn0yMH8OfU/X8OopwYe/POMH0H+e/UUbhzj044Pfp2/zxjOeABN3HPTBHbsB0HI9fYdDzxSBhznHTp/30cZPX645yM89Xbh3469j2/Cjd168D0PUZz+HTntnmgBgYkjPTnI7cjGP/wBfGT2pQ+Sc4HH5+nbP5e/HPDg31P4H0znj/P4c0jSIiszsFVQSS3AAHXk4oAM5b049snkf/W6846DmqF9qVpp8bS3MqRrtztJGWwOwyMADP69e3EeKfiDp2jRSLFKjSgEFsggHnkDjPtnr6dK+PPiB8af9f/pX97+PjuAOv4fnQB9F+Mfi5aWEcsdtKkYAIJDDccZHJB5x7e31r458d/GzHm/6X0LA/P8AX3+tfL3jv4zvK8kcdw8kjsUSNGZ3dm4Cqq5LM3GAASTwBXi7weJPFEnn6lPNpdlId3kg7r6VfQqcx2wIIOZBJKOQ0CnBr4HxA8T+BfC/KXnHG/EOByWhOM3hMLUm62Z5lUgtaWW5ZQVTG4yabjGcqVF0aHNGeJq0aV5r28j4dzniLE/VcowNXFSi4+1qpKGGw8ZPSeIxE3GjSVrtKUuedmqcJy909F8YfGO5vLh7azkmuriUkRwQB5pXPoqIGY+pwMAcnAFebHTvEviGTztWu30y2Y7vs8LLLeMpPId/mgt+D/03bqGjQ112leH7HTU22dsqM2BLMxLzzEd5Z33Syc/w7ti5+VVGAOmhsuhxnscjj2IByMn1J5x19P8AMfxg+n/xJm31rKvC/L48J5ZLnpLPsyhhsdxJiYPTnoUH7fK8o54txcYrNMVBqNWhjcPPRfvHD3hDk+XKnieI8R/a2KXLL6lh5VKGXU5aO05+5icW09m3hqcleM6FRM5TSvDOnab81paqJmGHupSZrmTPXdcSbnwTzsjKxgniNRxXUQ2OcZAOeoHAAzg89Tk9OcevGK1orUcYXPv2H4nt9OeoGavx22MZ6eg/I9eCR3ycn071/nZxNx7nXEeYYnNc8zfMc4zTFz58RmGZ43EY/GVnfR1cRiatSrPl2jFztFJKMUlY/UadTC4ChDC4LD0MJhqStSw+FpU6FGC0uoU6UYxV93ZK+7uZcdoo7cDt0/w64PPfjjmrsdscDChR059f5Z47c9PetJIQOgHft0/H8fTNWUgJ6Dt6AD3yT1HuOencivz7FZ3OTfv3+d0tvkuvqcdTGyber+/S/wCC9b+ezM9LcDGRnt+B6jGM+2e/0qysIHQccjJ4HfHv9P5CtFLcDH8h83qSCce3+eK29I8PavrlyLPRdKvtUujgmGxtprl1VjgPJ5SMIoweskhRE6swAJHkwxWMx+IpYTBUMRi8XiJxp0MLhadTEV69WTSVOjQpRnUqTf2YwjJvotDgq4uMIuc5xhGKvKcpKMYrTWUm0ku7bfyOZSAk8A8/X88ntVgW/rgHpzlvTngYHOf89fpXw3+zZ4y1Ty5tdurDw5bNtLRSONS1EA88W1nILQcdRJqEcik4aMEED3bQP2efh9o+yTUIr/xDcrgs+o3LQWof1jtLD7OpTp8l1LdKM8ls1+7cJfRh8aOL1Tr1Mgp8LYCryyWM4sxLyuoou1+bK6VLE51CXK04qrl1GEm1FVLqTXyeP40yTB3isS8ZUjdezwcfbLRr/l85QoNPZ2qtq11fRHwDa6dPdzJb2lvcXU8hxHBbxPNLIcdEjjVnYn/ZGemMV6Xo3wW+I2tbHg8L3VlExH77V3h0oKDjDGG9kiumXBB/d27nHav0T0zRdE0OH7Po+ladpUOADFp9jb2aSADILiGJN5Jz8zFnY8sxJJq8ZCc7cqueeMnGMehAHt/gK/orh36EWR0FCrxfxxmmYztGU8Jw9gcNlVCEla9P67mH9q1sRTbSvOODwk5J2Sg/ePksV4hYuo2sDgKVJbKpiak6r9eSl7GMX5c818tD4w0v9mHXpNp1rxLpOng4zFp1tc6nKucfKxmOmRK3UEq8ig8gsOD6Dp37NPgy32tqWqa7qTjG5Vms7K2b1ykdrLOA2CBtvOOhOeR9GfKO+e/Kk+uCfz79fywjSgZwR9cH3+vp6cY6c1+z5P8ARp8FcjUHT4NpZrXjZPEZ5mGZZo6lrazwtfFf2cr7tQwUL3V1a1vAr8V5/iL82PlSi72hh6dKile204w9r83UueW2HwT+GOn7TH4YtrhwBl7671C9Lkc5aO4u3gGeMqsSg56ZIrqLXwb4NsAPsPhXw7bFSPni0bTkkPQZMn2fzCevO4569q6Uvk5JzkZHByB9MYI79sc0wuACM8+2T3GOvPsRjvmv0XAcEcEZMorKuDuFssUbcrwGQZVhGmurnQwkJSl1bblJvVu7PKq5hmFf+PjsZWv/AM/cTWn2/mm+2233K0ENra24229vbwKOghhijA+7nhAox1GB2yBnpUh4yBye34dT1/T17gU1mOcn059COAfbj6evTg1E0uDhfy754x+Y9cnr14r3nUhSiqdKEKUIqyhCMYxSXaMUoxVkltt8zm5W/ek3q3u7yb9N7vpfXsPY8c8eo4JHHJAzn0wB75FQl8jA9MZ4B4HHvgd849eccRs4ySTnOcflz69P58gjuwtnPrz+PXuO5weevvXFUr7/AK9fyb316FpPouVfi9u/639EOLD1yR1Of/r5x6HI69M1SuLO0uvlubS2nBJyJreKUc+ocN1OOwzx9Dayvqe/97tjP9P85phfsB19c9Rz2PoPbn9eCu6daLp1acKsXvCpGM4taaNSTXfRK3QuN4u8W4ve6bT9b7/qc1deC/B95n7X4X8PTEkEs+kWBk5AziUQiUdSchvxrlb34P8Aw6vslvDkNux58yzu9QtCpIH3Y4LpYCPQGIgeh5FelM3PzEEEDGfYjHrnOePcepzULS+g9weeo7Z7jP4dPw+OzPg7gvNFL+0uEuGcwctL4zIssxL82pVsLKSd9VJO60alex3UcdmFGzo47F0tNPZ4itBdNLRmrq291Z7ang+o/s9+EJgzWOpa1p7nOFaa1u4Fzn/lnLbJM3PXNzzx65rz/U/2dNUiLtpPiDTrzqQl/aXGntj+7vgfUFLdiSqAnqF7fWRb1JAx69cZyenI65H+AphftwB6YOeARycZHf6cnvx+Z5z4B+Ema87nwpQy+tK9q2UY3MMtcL6+7h8Pilgm+ylhZpLRKx69DibO8Pa2OnVS3VaFKrf1lKHtPumvO7PgzVfg7480vczaHLexrkiXS54L/djrtt4nN4ePW3Brzm80m8sJmgvbS5s516wXUEtrMvJHMcsasCD1JUYwR9P00LKByAT7E9T9ecnHv046nFK9srHUYWt9Qs7W9gIy0F3bxXMR9cxzJIh6jPB6nNfj+ffRSyKop1OG+K81y6d3KFDOMNhs0pOWlqarYRZXWo0+inOGJnFatTaPfwnHGMjb61g6NVbOdGc6MumvLP2yk7Xuk4Ju+qPzJe3I6jnHHGfyIHHY+v45qu0I5+Uf+hfj7kdM/wBK+89a+DvgbVd7x6fLo8zZIm0qd4FB7f6LMtxZqozyscEZI43Lxjx3XfgHq9vvk0PU7PVIwCy292h0+7IPRI33T2srdt7yWynkgDFfiPEHgN4m8OudXD4DC8RYWnd+2yPE+3rqGjV8BiqeEx06nTkw1DEpO6UpKzf1GD4vyvEOMZ1Z4WbSVsRG0b6f8vKbnBLznOL7q+3zM1up7YI479h3Ht0wP/1VJLfrlQe546E5I/T1/H27/WvCeu6DKY9Y0q8sOSqvPCTbueR+5u499tLyP+WUjj36VzbwEdQR3HccehByOxOefpjn8qnisfluJng8ww2KwOKou1XC4uhVw+IpS0up0K8KdWnJb2lFNH1OHx8akY1KdWNSMtYzhKM4y2ekotpr0uvM5d7VTwABjnkfUD69euQKzprLrwf5jA69s4+h+gxxXXvBkcjt6Z7evYfhzznNVXtvTkemPfp0Iyeg5wOuOa9zBZ/ONvfd9Ot+1vTt17Wte3p0cc1bX1+bX9Wetl1PG/F3w68K+MrY2/iTQ7PUdilYbsoYdQtQc5NpqNu0N9bfMclYpkjcj50ccH5b8Ufs8+KvDryah8PtafWLVCZBoOsyx2+oqBgiOz1NRFZXRydsaXkdhsRfmupnPP31LbDnIxx1+vOR1+mcHP1rMmsu4H4gD9R0P4YPc1/SXhP9JnxN8LatGHDPEuIeUxmpVeHc1csyyCvFyUpxWX15r6nKq/4mIyyrgMZLRPEcq5Ty874Y4c4og/7Vy+nLEuKUcww1sNmELJJP28F++UdVGniI1qMbu1K+35saT8T9d8L6l/ZHiK01DRtUgK+bZalDLazBc4WRVkCiWF8ZimiLwyr80cjKQT9SeB/jgcw5u+u0f6zpyPUn8fXAr0nxb4D8NeMrA6d4m0Wz1W2G4wtPGVuLRmGGlsryIx3ljMQAPNtZoXIyrOykg/HnjL9nnxf4ReXVfh1qM3iHTYy0j+H9Rmih1qBBlitjeEQ2mpIoyEimFnd7VVI2vZmyf9SfB76b3h1x99VynjSNPgHiKryUo18XiPbcL42s7K9HNZxhPK5TlzSdLNqdPC0Y8tNZpiKkkn+GcS+Euc5UqmLySbzzAxvJ0qUOTM6Md7SwqbWJSWilhW6s2nJ4WnHU/UHwN8bctB/pf93/AJaf/Xr7N8B/GwEQg3YIOCQXyCOBgjPP06Yr+cDwp8XNQ0q9fTtUW707ULOTyLqxvoprW7t5lI3RT286pLFIvGUdAcEHGCK+xvAXxr/1H+l/3f4/THv3PWv7YpVadenTrUakK1GtCFWlVpTjUp1adSKnTqU6kG4zhOLUoTi3GUWmm00z8nlGUJShOMoTjJxlGScZRlF2lGUXZqSaaaaTTVnqf0S+HfHuma1FGryokrY5yNpJweRn19M+nHUd4siuoZGDKVyGU5GPZu/OOfqc1+PPw/8AjV/qP9L/ALv/AC0PP+eSPqK+3vAfxjiuEijmuFkQhQQz5Hv1P49sirJPqoMMe4BPX6/jk9T278cUhfngDj6dPT05x29sdOcnSddsNWhWS3mUsQCU3DPPpz834D8PTZ3D3/I/4e4/OgBgb5fxxjp6ZPHTv0HUigP1z+h6DHYHr0z37k+79w9+/Y9uvb/PPpSbh6/off27Y/Q+lADCx9Bz06Hj/wDX+GRjsaUMcnjntn6gY/8ArZ659eHbl/x4PFG4fh9D9PT14/8A18ADQ/JPOAOnHr/9f/HpS7wcfh6eucckfn078Uu4ev6H2x26Hr+P5G7/AOvw3p9PXHPpQA0Nzk8dj7Yz+P4fTuBkLcj0J+g4I5/MHvwMZ75fuHv+R/wo3D39Oh6+nSgBpYAZAz1I5HXjrjoeeQP6nDdx9B146cHnnp7g59QfXiTcPf8AI/4Ubh7/AJH6enrxQAxmI4/x7598HHA56HPHou/0HJ6dMdv1Hp1/MU4sOmT19D/h/nNJuH+Qf8PcfnQAzd144Axxjjpnkf07nvS7sAcYGO2OuTjjjjg+/vnmnbh/kH1x6Hqf85o3D1/IH8+R+Pf8aAEDYAz1Pf2yf14/rQX7gemenHXng+44/Dgml3A//qPT16Ubh/hwfYenr/SgBAwwAOvQDr2Hp05PPrg8ZOAgPXPrjk49evTAHtyD+Ap+4e/5H/CjcPfjrweP0oAYXweAO+f5dvp3/wD1lO3D1/Q/4UUAR7jjGTnI5z9ff/PfoKC3A5Oef69PTr6dh6VIGz6ds4zxzyfoPy98EZTcOM9QeR16A/gOT1/PuAAMyeee3r1zjPXPPf8AOgMecZx14+o6k/lk/wAqkBBJwfU9/b17dfT6UuR7+/H15P5H/OKAI85ye/Pc9MN/LPt7dThMnPryPx5/rx27D0p5POOO+efQH2yOvPfqAOtG/J/EduufbrntxkE+nFAEeT6n8/6D36enSnFieOe3HuPpjv7flgYcWOSOmO5J+oxjI/A9elKWwfy//Xx7HvjpwKAIsn1P5/l+v+RS7iCevfjJ4J+vcd/fPthxY5/A+v5kHHocc5wfzcWHI9j+PTGM9c54/kRQAwsfXk9R17DHUY5yc49aQk4HXkepPc/h/wDqFSFgAPf6/X0z39O9NLcDpzg/jnuM5xx+f6ACFj9Oc/oMenTt2PvjlCxz1PQdz6c/r/k0/d/XrnsB2/HPbj3p2RjPXjOO+OPw6HpQBFk4/wDr/wC7g8/hj69hRk88np6n1B4/Efl3zzT93GcDp/8AE5/n/Kjf16HAB/l/j/LpzQA0HABycEn+Qx1GODx/LIpATz1wQfX0Pqf/AK/FSBuM4/8ArcZ5JP6/ng1x3iTxhYaDBITLG0wDY5GFxn8yM9MdepOcUAbuoara6ZC011MqBVJClgGbjsMj/vo/rivnHx/8XobaOaKCdURQwAV+uMjkk4J+ucc44ryH4k/GPHn4ujgbuN59/cdP8+3wR4++LdzeXDWto8tzczMyRQQ7nkdjnACqCegJJzgAFmIAJGVevQwtCticTWpYbDYelUr4jEV6kKNChRpRc6tatVqSjTpUqcIynUqTlGEIpyk0k2VCE6s4U6cJVKlSUYQpwi5znOTUYwhGKcpSk2lGKTbbSSbPafiL8Zz+/wD9L7t/Gff1P05PSvk3UvE3iHxlcOuns0NkXZZNQm3iHGSG8hchrlxgjCERhgRJJGete20C91WcXviGUylm3R6ajloE7j7U6n/SHB6xKfIGGUtOpGO+tbEKqKqBFUKqogACqAAFCgAKFGAFAwOQMAV/nb48/Tqybhz67w34R/Vc8zaHtKGJ4xxVNVskwVRXhL+xcJK39sV6cruGOxKjlSlCE6NHNaFXmj+38I+EdWvGlmHFcp4TDtKdPKKUuTGVVo19dqxd8JBr4qFO+Js2p1MLUjZ8xo/hm0sG8/DXV8wzJe3JDzZOQwj4C26ckbYgCQAHaQjNdjBZ5xkZ6fTHsCefbPHPT10IbUDtk+gH5H2989e9acVvkc4A/wAP/wBY6j1r/JnjbxG4i4wzbF55xLnWPzvN8ZLmr47MMTUxNeUb3jShzvlo4empONDDUYU8PQp2pUaUKcYwP3GhHA5XhaeCy3C0MFhKStSoYenGnTT0vJ8qvOpLRzqScpzkuapKTuyjFbAYwuT69h07+nQ8YxWilsMAtg+2cDj8+O3T8MVbSIcYAHGO2Pw9uT6D15q4kB6kYx36k9+BnHsD/OvyrG5xKTkudv57baXfZ2227WOKti5O+vX7rapL016N+hUSH2xz+vt0zwcHsatpbk4JGPc++O3v2681bSJV6D8TyT3/ADxzjjP5V7P4H+CHjPxl5N21sNA0aTa39qatHIjzRnBLWFgNtzdgg5jlYW9q/O27yMU+HeH+KuOM1hkvCeSZjn2ZVbS+rYChOqqNNtRVfF1244fBYaMmozxWMrUMPBtc9SN9fGx2aYXA0nXxmIpYamvtVZ8vM39mENZTk+kKak3uo7niywgYOCT7889eBgemfp9a9W8H/B3xx4zEU9jpTafpsm0/2rq++xsmjbHz26sj3V6pGSr2lvPFkbWdM5r7Q8GfBPwN4MEVyLH+3dWjAY6nq6R3BjkHO+zstv2S02tykgjkuo+n2ps5PrJcYIwe4GAemMdv8B+lf214d/Qjr1VQzLxR4glQTUaj4a4ZqRnVXwyVLMM9r050oNN8lahl2EqpxbdDNE+WR+c5rx/rKnlOH5rXSxWKTS7XpYeLT84yqzWvxUuh86+FP2b/AAho4juPEVxceJbxQGMGW0/SUYcgfZ4JTdXAUjBM135MoHz2o3Fa950/TdN0e2Sy0nT7PTbWMHZa2FrDawD38uBFQuccsQWOASxPNXGYkHqBzwBxjnBzjGPT2zyab94fJGWOfTAHJHLcD8M8fhX9q8H+HfAnh9hlheDuF8ryeTpqlVxWGw/t80xMElpjM2xTr5li09GlXxVSKd+WMT4HHZpmGZT58bi62Is7xhOXLSi/7lGHLShpu4RTfVsCQRy2B16HAHPHvyM8gdz9IjIe3X1OR6Z+vQdjnOcdqlFu7ffZV9hknv16DP4n/GQQwr1y3Azk+47DH9eBmvs5U69Te0F0UnZLa9lFNt7dN7Xehwrl0u2+6XT7/wBCiQSe56c47dexPr0H8yacIpOoUj0JwB6dSR7/AP6qvBlX7qjA44Azx7j09ME+lML5JzuHbJz3z69vr68jrWTw8Vd1Kr6aRilbbq3L/wBJ/wAx876JL+vkVTBIRyVUfXnHPoOmepH09yn2cA/6xjn0BHcjBOT3z27H1qZnUe5BPQk4xngY6ZHvjrxxUZcnIAxjp94nOSRnJ/HOD/SodPDx2hzW6ynL53s0tXtb79gTm3p+Wn9few+zxgZJYgZxkgcenTp1OR+FMMcI+6u71JLc9BjJbkE47fmKUgk5Ynp/Ee/pjIxnr146fRuVX1PPHOe4x2746++D7c7dBLSnSfpBN/e0393z3KSs9Zu/ZN38vP8AAaVjP/LNAO+Fyce5OfXpx74pvlp2RR1H3QPT0B/Efzpd55AH0zg8Hbx2GeQfqODyaaT3JbPB6g9vrz+Q69MVjOpTV7Qpx2+zG/RpaLf5pefQetrJefvN+XS7f5bCkRDPyq3Y/Ivce468H8uuTUZCY4ij6f3VOPvDjI7AcduB35pC4yeTgg+h6dvyPQdPwGWM5456A/j19e4OR0Nck60NuWL+SS6b6a/jr6lKM3bWTVvRaW9FbTVO/wCAGOM/wJzn+Ed/8j8h3qJoIDj92D0HG4YB4BGCM/h3pTIuDgZ64Oc9fTPGcds/gahMhPQAf5Ht/j7Vx1KlKSalTptbWcIu9+rum7+dl8rmiT6yk2v5X6b6pJ7728hrWtu3VWUcYw56n67gevGcdMd6rNZx4zHI+e/AbHvxtx+OM9OmasFz05OcdR6kHr/9foOxwKZk9weQOnHXr9MY9fTJrz6sMNK7dKn/ANupR8vsNW+bNU57J2Xm7vW19ZNr8+r2KD2bDkSqeuN2Rx7fe/pjr6VWe3nXI25HqrA9yCQMg+vbPJOOx1iRyCD9CT1yDjv+fHfvTCw5wM5JHJIHXOPzz04OOma82rhMLK9vaQ84zvbb+dSS+TfrctTaavZ3tul5Po10fXT8bYbK4J3Ag/7QZenpnA5wPxPHTNQs2Bzk9eefYdeg6Y9fbgVvl1x8xyPTIPHbIP8AXp061RkhhbIMYGR1X5R1OM4IyeO+TivIxGXyu3Trxeuimmu32k5X/wDAVe3RanRGrrrFq1tV1enezMksSevQjgdP0JPp347HFRM2eu78QO45HPJx6evfvV97MEEI5H+9z05HI6c9+ePwNUZbeZM7lLAd0JYdOmBhsdeMDt614mIoYqlrOlJxSvzQ99aaa8t2raLW33GkXGW8kvLq9vv+V9fK1q08cU8bwzok8MgKyRSoskbqeqvG4KsvPIZcY6gZxXl3iD4R+Eta8yW1t20O8bJ83TSq2xck4Elg+bYRjJytsLVmwPnwMH1AkLkd885yOSQRxnIOPxzgZPNRlieORweef5E+/wDMHpXxPEPD3D/E+HeFz/J8vzWjFSjB4zDwnWo3teWGxKUcRhZ73qYarRmr6Stv6GFxeJwclPC16lF6N8kmlK1vji/clotpxavuuj+PPEnwg8TaLvmtYk1uzUFvO00MbpVHQy2DZm3YGSts10qjlnFeTzWkkbMjoyuhKupUq6spIZWRgGDKeGBAYHg9K/RUg59/U9+vUkkcY/Q56VyniLwZ4b8Sxt/alhGborhL62xBfR44B+0RqfOVBjbHcLPEpJPl1/NnFv0c8HJVMZwXms8FV1lHKM3nUr4WTtdQw+Y04yxVCKStGOJp4xzm7zxFOOp9fl/GFam4Qx9FVVe3tqKUanSzlSbUJX/uSp2W0HofBLw5zxnHt0PuO3JPTr3qnJbg52jHYDsfw9e3Pc4weK998UfB/WdMEl1o7f21ZLlvKRBHqUSDnBg5S62jA3W7GWQ8i1Ra8cntJIneN43SSNijo6lJEdThlkjbDBlPBUgEYwRnJH855zlHEfCONWC4gyzFZdVbkqU6sVLD4mMOW88Li6Up4XEwWnM6NWfLtNRlofd4DNcPjIKpha8KiVuZJtTg30nTdpRfZOKbtdXOVltgfvLgj0OOv6/4YxWVPZdcD16Dg+5HH4kdM45ya7B4s9gR9P8A9ZHr3HJOKpS2/Ujn2xxgDP8AnvgdOmerL88lBwtUatbrttuun4r5Hu0Ma4ta3/Povn6fgfP3xE+EHg74i22zXtO8rUok2WOv6cVtNZsT1URXYjYXEIYk/Y72K5tNzFvIEmHX4h8YfD34jfBuaTUCZfEvhGJiw1/ToZBLYQ5+X+2tPDSy2IX+K7je4sDhd1xDJIsI/Uya1DAjGD3BH6Z6en5+tYt1YqwZWUMrAhkYblZehBBHIIOCG+hJ5Ff2H4GfSy8QPCSrhsBhsc+IeElNPEcK5xXqzwlOm5J1JZPi7VK+TYh3nKLwyqYKdWbq4rL8TPla+f4l4K4f4uhOriKSwOactoZphIxVZySSisXSXLTxlPRJ+05ayilGliKSbv8ABnw++NOfI/0v+7/y0+nqfwHuB619z/Dz40ZMH+l/3f4+ufx6fng5r5H+KX7MdjqUtz4j+Gclv4Z1/Lzz6Gd0Ph3VpMlnEKRg/wBi3knIV7eNtPkcAS2luZJLxfmzQvHviLwZrUnh7xTZXuh6zYuq3FjfKY5ACcJNE4LRXFtMFLQXds8ttcJ88UsiEMf9kfCDx48P/GnK/rXC2ZKhm+HoxqZpwxmMqdDOsub5VKp7BTlDHYHnlFU8wwUq2HfPThX+r4mUsPD+bOKODM64UxHJmFH2uDqTccLmWHUp4PEaXUXK16Fblu3QrKFTSUqftKaVR/0c/Dr4zc2/+l/3f4/p7jn6H8K+1vCfxDsNbhijnmRZSFw+4dTjhu/vkAnucmv5xPhx8Zc/Z/8ASz/Bxv47emR+gr77+G/xjOYMXR/g/jP/AMUP5V+znyZ+xSurICrBlYZDKcgjAAIIJyOOe39Hbjg8kcg+vbpnrzgY/XvXzZ8PfizBdxQxXEyyIwUEM/QHA4yTz+NfRlnf299CJ7aRZEYZwCNw4ycjJ+v59cUATls9z6c+npx69/y7cgJOevT8eox0I7/zPHJp5br04OO59ef5e+AfagNz14579Occ/hg9c9fUUAMBJ6E8AdCccEc+3HXPFBOccnoO/Q/r7Z9SD7YeDj0I6cfVRzx1APbg9qN449/fBH9Mfjz+dADATnqeAfpwD246fz55oBOR17Z5Jzz/AJGP60/d06Hr0OOnrn1PfjA9skm7nnp0yCeD79ue3PrnuKAGZPqc/U9+c/5Pp6Umf85Pv/j3PrnOTUpbHbJ/w6/h+h5pN3Xpx05+vrj0H8xxigBhbJPXuOuP0/Q+v15pdx9T0HYe3PI6HJPv7U4tjjrz+WDx9SOCRkckY46KWwOmeM8H6fiOv5Y/AAi3H1Ptz75/Xv0/LilyeOvf265HrjPXHAx7in7vcdvUdcdM/ifpj3oz8vUZ688g5JHTrj049vWgBoJ4JJxg55Pv0/TnoDjNID3yeOvP/wBbjknn1P1NP3Y6+v8AUj07Y+po3c9h0Gckjv06f4H1HFADNxwOT1Pc54x3/GgE44zwR69Bn/OPQVJu6+mT3/D+fPfHYcigN1z1HXknr0I+pP5Y9qAIiT2J/M//AFqKkL4J4z2znrj/AD/KigBwA7Ac+nejA9B6dKZv74HYHr79+f5d/bNJuHcDvjj647nBJ6/z6UASYX0H5Dt/9ejA9B78CmBuScY4GeT6gZ/zk+/JoDcEcdOOuPTBzn+g65NADyB1wM89uv6Z/nSYX0H5DjPTNNDc44xyOvXr6nHPc9+/UUm4Z4UdRjr+X+HGB2oAkIHoPc4H/wCvPT8xQQPTuOw9f859qjLegHpyO2e3Ppjt/IUpYZxgdRzg+uenB4/UjpzwAPwPQfkKMD0H5Co95yfxxyfw6nnp7H8TSl/TB69R+X8v5HjoAB+B6D8qPl9BwPTsf6df50zcMdAfQdhwPXjg5/ySaQt04B4HHOAQfT+n06gCgCTAx0HHPQUYHoPy9On5VHuA6AH8/QeuQM8jA7AdhTt3PIHQEn64z2/yBQA7j/Ix6f4j/IprNGilm2qqjJYgAY+p4/WopZo4Y2kkZERBuZjwBgKT3+vHcjHJ6+EfEP4m22mwTQW0yoqqQzBgGbAI559uBnoaAOj8bfEOy0aCWK3lQOqsGcEA5wc454A6E9/YGvgn4m/GH/j4/wBK/v8A8fPf34H61wfxQ+L3/Hz/AKUf4v4/r79z3/OvkS5utX8a3LTzSzWukFyfMBImvBu5WAH7kJ6Gcgg9Ig5JZPjOPPEDhPw04dxfFHGObUMqyvCrkhzvnxeOxTjKVLAZbhIv22Nxtfkl7OhST5YRnXrSpYalWrU/WyXI8z4gx9PLsqw08TiKnvSa92lQpJpTr4iq/co0YXXNOT1bjCCnUnCEtbxD4y1rxdfTWmlsxjDkT3jlvs8APUFhnzJMYKxJlmyCdiZcS6L4et9PDOu64vJQPPvJvmlkJOcDqIos/dhjwpCgtvfLnY07TILWGO3toVhhQYVEAA9SeclmY5Z3YszsSzMzc10cFsBjKj2Azzn6nk+p9PUc1/it9Ir6W/Ffi3XxOTZdUr8M8CU6r+rZBhsRbE5nGnJSp4riHE0mljazklVhl8H/AGbg5KnywxWJo/Xav9RcJcCZRwhShiZ+zzHO5RtUzCpC8MO5L3qWApS/gxSvGVZ/7RVTlzSp05ewjVt7TGCR+PT06enHfk/XoNeG36YGBjOcfXj1wenGeoHPSrMVv03Dp254449Ac9fXkdeavxwk4AH4Y5/D0GO55/ACv4czHOpTk/fevz1T6Jb7aNv0sfS4jGNtpS/G/wDw+3puuxBFCB0B5/Pn19P5/QgVejt844BHc9s+nv6dT07VYSADkjJznA59PvHue3+ORjV07TL7Vb2307TLO4v726k8q3tLSF55pXwDtSKNS2FGSxwAigliqqWHyc8ViMXWp4bD062IxFepCjRoUITq1q1WpKNOnSpU4KU6tSpNqFOnCLlObUYqTaR5FbEpKU5zUYxi3KcnaKSWrk3ZWSTbeyWr0uZyQqOgBPqf8P04FejeB/hl4r8ezqujWBjsFcJc6ze74NNt+fmUTbGa5mXjNvapPMu4GREjO8fRfw6/Zxt7fyNX8fOt1PxLF4ctpc2sR4KjU7uJv9JcdGtbR1txtAkublHeIfVFtDa2NtDZ2NtBaWlvGsUFvbRpBBDGowscUMYVERRnCoqqPSv7N8Ifoc57xFHC594o18Tw1lE1CvR4Zw0oR4ix1NpSisxqyjOlktGaaUqDhWzNxdSlVpZdVjCo/wA5zvjmjQcsPlKjiayuni564am9n7KKadaS195ONK/LKMqqujyDwH8DPCHgsQXt3EviLXIwj/b9QhU21tKMMDYacTJDAVb5o5pWurpHGY5ogdg9mZ+M5CjkjPXr06YHoM5/DmmFi3CjJx15x275Psfp3oEY4LkA+gPTp09OevB+uK/0U4U4O4Y4HymlkvCOR5fkWW0rN0cFSUZ16kYxj7fG4qo54rHYppcs8TjK1evONlKpJJW/McXjcXj6zxGMr1MRVf2qjukt+WEFaEI/3IRjHshNzHgc8epGfqPp7Z9aBGT97A6j1OMY7Z69ecn64FP3hfugDnAPHJ/n9PzHSmmUkHgEdDz2x65/D2/LP0UlFL3pX8k7L0vu736W7Wuco/bGOoyQMkHkYzwOwPtnkE8daDIBjAAA44Hb1/ljPbPSqzORndjuPQHr0wc9un4cd4zKB91cj3HGCT/n06/hm68YK1OKS7Rsr6LVu17+e/ruCTeyb/Es72OD0I9R/wDrA9yPp9ImYDqR24HXqvbGeueDj9Krl2PUgD0HHv257/zHXq08c5AGB689D7kD3Hp2rlniXezkl6a6Wtu9Gv6XUvk/maX9bX2v9/4E3mN0AwcZ+bvwPY5PHrnnHamnc2d3IzxzgY69BwMnrkZ+p6Q+YF5A6+xA4H1we3OTyfxpjSE5wcj0xx29/X2Fck671tZeb+Xff5pfMpW2S16NrfbXa/XtbrpcnJUdT+Ax1544A9+Cecnims/HyjA7cZPft06/456VXLeuPTqff3759/SmGQegHXPTn16nIPUjIB7DrXLPEL+bmt2vsvP8fLfydKMpO2rb6Rv/AMPb7kT7s4ycj3BxnnPJPHTp9KYXGcDBOcnAx6euT1AJ479RgVXMgHU9um7noMe+O3HoeM8CMy9QB19+CTj1P59COnTNck8T0ulftZ9tr/8AB+RaglvZeS1f4X3769CwXPJJx9eufb64zxgcce0bOqk8gnGMcdMZ59fb+eTVZpPXJz6Zz2479+Of68R7zxhT164wc5Pf6+/4d65J4jXffz7/AC0+5WNFFdI9Ptavp0VlvtrfTVblgyE9CADn6/iAc47ZOTj9Y2YnO4kkd88Y+mPrUJY919+/90//AF+/T3FIXHIHGc+uR1Prxn19j7Vyzrtddb/11v56v8R8t97v8F81orX7/eS5POGA6/h0z37e/tn3acZ6gcjtnn3PQH9QKgMhHQgdc9SRnrx2OfcY9PWNpQOuST3PUkY/Ae3bOD61yTxGm+nyv0+X3+m90Wou2n3f8Ha3o3/lYL46Hp7ccY9PXr2wCfqIy5x97GckDrnGcgnnr069e5qqZTxjIxj9MY7/AOTj60wsx5J4HrjjGeg68Z/ziuWeIv8A5t2Xy+7XTUtQ723vtd9NLtW/Dv3sWWkAAOAf/rDjnjvnB6/QniIyE8ZyMgkYJI9een9OfxqEuOmGPU4wcDrjA/l/hUZcjvtz1GDn26nB/TrxXLPEb3k35L5fNfP8ilFdrvTV6v8Ar0JifUqMn6nrnjGe/r/IDDNw/hGT05GQCc4JHH9fX0qLfjkYx6kd+hzycdMdee/NRlz04wMdxyPXtzyOec9M965J4m19Utdlvpa6stV9+xajJ2vovP8Ay3/LYnLDoxLewwQOvA+nHv0qMt1IGM9cjP8AMdO/65xjEe49h/30fUZHVu/+e4phlweOQPQHHPfrjqMDn+uOOeK7a+r9NkvXt52exoqcU97/AH2e2yt+em46SKOT/WIGPY4wRzxgjkY+uOvGM1QkslyTG/8AwF+ev+1jcMHGM7iPwOLBlbPpz2P09PYY7+v1jLnnsPqf1PYf/qHU58zEqjX1qQi295JKMk9FduNnddFK6et0aRbW22mm/bZLTy6dtGZUqyRkh1KgnhgAQev8QGCDnvz/ADqo0nJAwxAxnGMEd8549fb2rbZwQc8kgDGSevHPH4cfQ9OKEtvE/wDq/wB0T/dxsPY5Ukf+O46dD38DFYGau6E1NdY1Pdl00UvhfazcfNvY3pz7xt57326b267vW/oZjHuSWIzwAAPyHBPsODwM4HPIeJfBeheJ0Jv7UR3m0LFqNtthvEIwFDyAFbhFHAiuElQDOwKxDDr5YJovVlyfnHTj1ycj6MAOe+RUBfHVs9unAzjnI9D39u2a+QznLcDmmFq5dnGAw+OwtZWq4XG0Y1acrXtNKcXyTi23Tq02qlOVpQlCSTOyhVq0akatCrKlOL0nCTi1qtNN07q8Ze61o1Y+SvFnw21rw95lyiHU9MXLfbrWNt8CDveWwLPAADzKpkgHG6VWISvM5IME+nXOM56dR6+/Az3r76Zy4IOCCOQee2Dx0xn2GfzrynxZ8MtM1gSXmk+VpWpNudo1TGn3TnkiWKNf9GkY8mWBSpJJeB3Jcfy7xr4H1cI6uZcFVpVqa5qk8ixVW9aC0bWXYyo/3yS+HD4uXtdG1iq05Rpn3GWcTtclLMFyvSKxMFaLasv3tNfD3coXj/07STZ8myQgggj1x6Z9R0x9P/1VnzW+AcjIPfHPQdeB6+uee2M12+saHqGj3T2Wo2slpOmSFfmOVMkCSCRcxyRsRxJGSucg4YEDn5IcEgj8D6f+zDr+fFfhlHG4rA16mGxVOrhsRQqOnWo16c6NWlUhJKVOrTqJTpzi1rGUU091eyPucNi4uMZwmpwkk4zjJSTjo1KMk2mmuqbX6cjcWYIJAyME7sc/oOme3tweM15B8S/hN4S+Jml/2d4ksP8ASYA50vWrMpb6xpMzD/WWN4UY7GYKZrK4WazuCqGe3dkjdPfpYAeQB/Qn6e/4Y56gZrKntQ27jnHQ/wBPf36/jzX6ZwfxznHDWa4HOsizTGZTm2XV4YjBZhgMTUw2Kw9VW96nVptS5ZRbhUi7wqU5Tp1YTpzlGXqylhcfhquCx1CjisLiIezrYfEQjUpVIOz5XGV1dNJxktYyjGUXGSUl+Q3i/wAJ+PfgTq8aa0X1XwvcXAh0rxVZxSLZTEkmO11GLMraXqJQZ+zzSPDcYdrK5uVjl8v3v4a/GPP2f/Sv7v8AGOvHQGvtLXNA07WtPvNK1ewtdS0y/he2vbG9gS4tbmB/vRzQyKySJ0YEjKsAw2sAw/N/4u/AHxD8K7i68X/D0XuseCoy1zqOihpbvVvDMQJeWaEkvNqmiwjJaY77+whAa7+1W6TXyf7KfRv+mbk/iCsBwf4lV8HknGFX2WFy7Pl7PC5LxJWfLCnRxEfdo5RnFdtKNNOOXY+s3DCPB1qmHwFT8B448Lq2VxrZtw3GrjMripVMRgPeq4zL4JXlOm9Z4rCRV23Z4ihBc1T21ONSvH9VPhn8Yf8Aj3H2rH3P4/p2zg/h0r9DPhn8XlcQK1yCpC5BbIIPXjPTPUc4+tfzQfDL4wZ+z/6V/c/j+nTng98H/Gv0S+GHxe5t/wDSs/c/j/8Ar9x1/wAK/vc/Gj+gzRddstZt1lgdC5XLICvHGTj1H8s89M1u4Xnge/A/Wvzu+F3xdz9m/wBK/ufx9uPf0NfcfhnxTZ67bRskifaCoyMj5s4JxyOSTnHr064oA67APYfiB/n/AD60EDuB+n4/4mmbuTwOg78Z49+ce3ORxjNIG6cD8O3P17j8+MnsACQAeg/IfiP6GjC5xgc+39cYpgYcduOepJP5+w6/TpzRv5HAAz+I/Hj1J/H60APwPQH8BRhfQfkPf/A0wtx0GeMewI/yDzz6Y6pu4PA569e+ffPr7D8aAJCB1wPyH50YBxwMden+fX+fvTC3Xp3xwfb/AA4/A8Y5UsMYxnp9D0xxnPpkfXrQA7C+g49h/n/P0owMdAfoB06//XqPf7D2/MensB6dPwpdwxjAxg+3rnGTnnoMZxn2wQB+B6D8hRhc9B+n/wCv0/MVHu6cD/JPTrjH9eBijcPT+fv7/TOevOe1AEmB6D8hQAvYD06Y/p6Gmb+O2c++B3z3J5/+t2yBuDwoPbt2P9BgfWgB5A/u5/Af1xRUZYZ4AP1Hfv6fy5ooAUAH6YB+6M8kjpg9MUEDIwR37L0Gcnpz0449eeak4/r/APX/ADpMDjgfl7fT2x/nFADBg9O454XjpwePXn8OBS7R+meAp/Tb+Xrz+LsD0HH6d/8AA0uB6Dnr70AMIHbHfsOOCfTPb8RSEDOPcDop659hjoP8D3ecenXj9D/9f/OaXA9B1z+Pr9aAIzgenUj+HsM/3f8AJ496UgfrjlRzyM449M/lnoKfgHqAaQgdwPx/SgBhA/8A1qo9BnkDjJ9u/PHKkAD+XC8469QAO/4c89KdgHsD17Dr3/8Ar0uB6Dv+vX8+9ADCBxk8euFx04/hx0H8qQ4498HJC9Pyx+v9MvwPQflRgeg/KgBoAOf/AIlfQH096inmhtonmmcJGi7ix2447Djn2xn8OMunnitonmmZURASScc+3uTjpXzR8T/idDaQzQQTKkaBgArAFiMjnB74/LGKAJviX8T4LKGaCCYJGgYYVgC3bJxjJOM+menB5/OL4p/Fs/6SPtPXf/F7t79weKzfip8V2ZrhVuCzEsFVWySxyFUAZySemB1+grwDTtKu9Vul1fWgzuWElpYvki35ys1wpOGuDnckRBWH7zZlwIvybxh8Y+EfBfherxDxNiPa4qsqtHI8hw9SEcyzzHQin7DDRlf2OFo89OePzCpB0MHSnG6q4ithsNiPpuFuFcz4szBYLAQVOjT5Z43HVYv6vgqLdueo1bnqzs1Qw8WqlaSdnCnCpVpxW9jfeJbkalrYkW0Lb7ewfcGm5yst2pwRGc5W3OC+QZsLmNvQLSzUBVCAKAMKAAABjHAGAPRQPTjHFTWtr0459MdO/wCfXHPH15rdgtxwB+ffkn9c+vYnkdK/wd8bfHfi7xd4jrZ7xNjn7Gk6tLJ8mws5wyrJMFOSawuAw8pSvUmoxeKxlXmxeNqQhKvUcIUadL+rcjyPKeE8uWX5XSs5JSxWMqWeJxtaMbOrXqJKyV37KlG1OlFtU4pynKcMFuAcAZPrjOB6f/W6d/prRQBccZJP1z9Pb+n14kiixwAO3t+Pt349M5HUDRihBGSCB78E49Pb8M5+pr+ZsxzWU5S978fztvvok+w6+Jbb1/F+T9e33eTvDFCTz2HcngHPHuT/AIg+mb0cYXoCM9SRkn3xn9OvB44qQJjbgD0AwcYPPOPwOP8A69fTPwr+At54hFv4g8Yxz6fobbZrPShvh1DVYz8yPMRtksbGQYw5xdXKEmEQRtHcv2cEcDcW+J3EFHh3hHLamYYypy1MViZt0cvyzCuajPH5njHGVPCYWHRtTrV5pUMLRxGInCjL53NM3wmWYeWJxlVQgrqEFZ1Ks0tKdOF05zfZWjFe9OUYpyXmHw++F3iT4g3e3TofsekwyBL3W7uNvscGCGaKEDa17dhSCLaFvlJU3ElvG6SV96+Bvhx4Y+H9l5Gj2ol1CVAt9rF0qPqF43DMpkC4trYsAUtYAkQ2qziaYNK3YWNnY6VZwafp9pBY2VpGIbe0tYkigijXoqRooA5yzEDczEsxZixqYsSDwfwAHrn0yR2xnGeM5r/VnwX+jlwd4SUKOZVo0uI+NZ0k8RxHjKEeTAyqRSqYfIMJUdRZfQUXKnPFtzzHFRlP2lelh6scHR/Gs84mx2cTlTvLDYK/u4aEnea6SxE1b2j6qFlSg7Wi5pzlI7jkDJ6Yx0/+v68nsSOAcswOrHAxnHH68++ecgjkdM0zIHAGDz19snn9O/f06tLr3G7joMtg9euOD2xn69BX9CzqxW7u+mv479etr2102Pmtf6/r0JS4UYXgHpjA75Ge/Qjv+nJTdxkkjOCevfB64wffufbFVmkJwAAMY5wM9sfQf447UhHcn06gH0zgdvTjPWuapibaXt2W7b06L7umj3LUHu9Pxf3f0/IezqOhYnqOR6dSR/8Arx7Uws3r64xyTx6kYI46D6YzTSVx1Jx0AAx69MY/Tv35pm7POMZ4wcEnjnnsT/nk1ySxF9dX/i+W+vf12GlHTr59Onouu2r6EhA6knvgE9cE98e3T396aWQcAZ6DJPHqPb3xwSOnBqJj788jrkY+bAI6enUfyOGFlAOBuPJyQDz/APXHr+XWuSeI397rsn6W2/Ra9SrSbSWnktXbS9tOnl/kSF8jjC84GFyevr+PTJ9qYWB6sOADjAPYe3c59MYqLPXPHrgE9cY7DB56EfhiojIMjHJwPz4zznGODxkdelcs8V2svVpvW2/ytbXzLVPa9k33d302uv8AKz6ExdfXsM5HsOR37ds+vQmmFxgkkDr0GcdfwPtjHOO1Q+Yeeg4wRjn64xg/oe2RxURb3PHOTnPTOMZPsfXiuSpib/av6u21vl031uaKK6Rbd93om9LaWbe3VW+4mMgzxnHOfTv1xyeOe+T1OKjL9RkDnAx75759vTntUZJJzkevp6/4Dn6mm7gCc4P057sR3+n0J9MVyTxF3vtbTT/K+vXRafeUk9dX6LRdOzv+LV7aC7h2x+J9fwPr35GM0hJPcd/XHVeDxz9enPpTTIOgHPfJ+ucDPQeo+mOOI2b+8TjJ9RyT2+vtwfX15Z4jXffvbTa3nr0/yKS6Wta+lnrtpZbde12/ukJXHbtjH4YBOM9c9we3Wmls5xjPHY8HtweR2z04HpVdnA5APHB6j0HXOT+fPHoTUZdmzjPOO3Xk4OeO3Qkfyrknid9W7WXl00fl99lqWovTp11/K21np56LbZTM4GQWB7Efhj6/rx2BqNpM5APGO5HUZ9h1x7fyFRFic5PXPQfh3x2+pxUe49QBgDqRweuOox6ZP4VzTxHeVk+3y+/5bFpL1tprrb9F06ErMWOcnp6457fXj8TjNRkgDvnOORgfn/8AW9cUwsOR17cHjv7fQ98+uOKYWOT2yfQE8nPB68f0z2rkniLXd0vN/wDB3/D/ADpRk7WWnfp0+e21iQuR0K8jHc+meg46/wBO5wwtz/ePHsB6kjjIOCPp69mZ9xj14wfYc/zzTSwwM9+w+nPf+fPB+o5J4pd3f1/pted31NFTXV/cv+D/AJD89Pp6c/8A6/br6dKbnA555PUHpzjoO/HX8KhMi84AA565znjt+A7Hp35qJnz69/bvxj69wR9MVxzxLenN6paW2te2r+XnrYtJLbT5f8O2WS6j1I69+Dkn04+vtj3qJpT2OOmQc8cD/D1P45qAkD0HHTP/AOs8/jURdT2Jz7+3br2Oe2RzzXHKuu+1tXbTVX6ffZ3S9ClFvZaX66aem/3X8iYucgZyPcfTsAQevc+/0jZgATuAz0xj8Oo/Htjp6VGWYnqRg/1/wyPx9hTCBjnPfuR9Rye/OPb8zzTxCXX8N9u2j897LsWod322+V7/AD/q48yHjHJzjJH+CnHbPXnvwaZljwTgH0yOc546DoPwPbtTS4/hz39Oe2eck4/D0NRl2IOGHr64P1zkAcfTrXJPEv07N9lbptr6LvvtSSWysSE4HzNyQOcA8Z75AP4Z/nioy/PBbGT0BxyT6dc/19KYSRgn8OD1546fhk9RyAMctLj0OcjsMd/r+PP4jNck6+urv9/l01fpdspJvYeWJ78ccAHr37dxnBGD/OqMtqj/ADIdjHHQfKceoIx1zyuD3OTmrBY4OQAOuAPp7D9f8cQmRT0yxxx0P6Djv7Z+uCOOvKlVi4VIxlH+9q1oldNWcX1umi4qad03Hb9FqtreT/4JkTrJEcMuATgMPuN69Oc5HQjPHfGarFlGeQc5wSAO/pjnt+fatp33ZVgMHORgH8Pz9fr15rMntc/NF15ypPHXPyk9D7d+mQK+axmElC8qEnOOt4N2qLb4ZbSS7K0trXOuE43tPTaz6XfftfTy72Od1nSNN120az1O2S4i5MbkbZ4XIwJbeUDfE4AHQkOPldWUkH5x8WeBL/w+XuYN9/pJY7bpFxNagnAW7RR8mMgCdR5MhwCI2YRV9PEEEqwO4dmAyPYDgDn04z3qKQRsrRsqurKyshUMrKwKlWUjDKQxBBBHY8V+R8bcC5JxfSnLEU1gs3pRccPm2HppV4cvw0sVC8Vi8OpW/dVJKpT95UatFzlze3l2aYnASSpv2lFu8qDb5Xfdwau4St9qKs9OaMrI+HpYCPcHgEd89j3z7j/61UJYQe2Dj8entnP/ANYE+30J4w+HOPN1Lw9ESOXuNLUdOpZ7L1Hf7L7EQEkpDXiE1uVLAqVKkhlOQykEgjnn6ggkY59K/lTOcmznhLMHgM0pcl3J4bFUnKWFxlKLV6uGq2V7XXtKU1CrScrVKcbxcv0TL8ypYumqlGeqspwek4N9JxT0v9lpuMnezuctPb+o57HHX8/Ufz655GHc2nUbRz24Oeo46fiPQ9ckZ7SWIFcEZzn/AD7Hv6Zzzyay7i3GMEZHPPoe3P1/l1zkV7GU51KEoWm009HfTo7JaK/dNfcz6TC4xqyvtb8+z++33bo/OH46/sz3NtPe+P8A4SWfkagGkvNd8F2iiO31LkyT3/h6FQEt9R6vPpKBYL/JayWK9H2a+8S+GnxYlgljgnmkhnhkMUsMu6OWGWJtskUsbhXSSN1ZHR1DKwKsARiv1wurTqcAflyD2PXkeo64weM4+If2h/2bD4pku/H3w6hh0/xzArXGp6ShS2svFyRLlsklIbXXwgxb3jlIb9gtvqDKzRXsH+rX0VvpkywP9m+Hvitmcq+Uy9lg+H+MMZUlOvlL92nQy7P6825V8r+GGGzSo5Vst92njZVMv5a+X/k/H3hpSzCFbPeGaEaeNSlWx2U0YpU8X1liMBBaU8TvKphopQxOroqOIvDEfRHwt+LnNv8A6Vn7n8fUDPHX2r9JPhX8Wv8Aj2/0o/w/x+ynGc9P6V/NJ8OPideadeHT9QFxY31jcPaXlldo9vdWl1bytDPb3MEoWSGaGRWjlikVXR1KsoIIr9H/AIVfFnm2/wBJ/uH7/Ujj1+n+Tmv9WIThUhCpTnGpTqRjOnUhJThOE0pRnCUW4yjKLTjJNpppptM/nZpxbjJOMotqUWmmmnZpp6pp6NPVM/o18JeLrTX7aPMq+fsXoVy/APUjr/M+/XtyB25/BQOhPXHoOvT9cfmF8KPix/x7f6T/AHMHf9ODz/n8xX6C+EPF1pr1pEDIvn7F6kfP6HJ759+evXrQjt8DjkYxn7o9/b26EeuKXA49+nC+uP7o9f5+nLsD0H5UYHoPyoAbgeh/Jfx/h7fr29aQhRjkevRc/hge/f69qkwPT/PT+XFJgeg/KgBpAHXv7L/Pbj/65GcdaMD8+nC9PX7v+e/s7A9B+VGB6D/P+FADSB2I/FR/QdPU9BSHaOp9ui+pGenTj3p+B6D8qMD0H5evWgBMcc/oFOMdvu9evQetJgZ+vsvXAOOnoeuev4Zdgeg/KlwPQf8A6un5UARgD1HX+6B6ex9eOcHjB5pcD8uuAvuPT2/UE8dHYHoPyowPQc9eKAG4HfP4KDz3/h/XvRTsA9QPyooAZ8vr6dh6E9Nvp370fL6/oOpz/sfl/Lik2H1X8/8A63vSbD7d/bp9f8/hQA75euf0H8tvHb9ffJ8g7/oD9P4fz9+tN2npkfr/AIfT8x60uw+o/X/CgBfl7HsfbqD6L7njPHp2o+X16H0Hv/s//WHtgUm0jrjoR+h/lSbTnscH3x29B7/zoAcQvr79h7Dov5gdDn0oIX1598D0/wBn9PrnvTShHcfn/wDW9u1LtPqMggcds4x2/X+tAB8vrx9B/wDEf14pTt7nnv346k52/l7dCKaVI6kd/XjHPPFLsbk5HGe/5/zPX3oADt9c9ufT/vk468e3fjAbI8UUbSO21FUksccAdeSvHUd88j2pWGASSAAMknIAAHXJAH1/zjw74lfECDS7Wa1gmACKwYhgCzDPpzj0BI70AYnxP+JMFjBPb284REVh8rAbiBjJx3P5D17n8zvix8VGJuVW4JYlgArEkkngDnqegHU8deBWv8XPikR9qH2nn5+r4x1/2jXzJpdjdazeDXNWDHLeZp9rJk+WDytzMpz++I5hQj90CJGHmlRF+VeMPi7wx4M8IYrijiKqqtefPhsjyWlVhDHZ5mfJzU8Jh+ZS9lQp3VXH42UJ0sFh7zcateeHw9f6XhbhfMOK8zhl+CXs6UUquNxs4t0MFhr2lVqWa5qktY0KKkpVqmicYRqVISaVpV1qF0NZ1kM1wzb7OzfJFqGPyyyqc5uWHKqf9QOwlz5XoVraEYJGfbpjp09T7546DjAKWtrznHT8cDjI9iR1PAH51vwQ+3A/M989D0/P8Tz/AIBeMXjFxR4p8UZhxRxRj3iMXiG6WEwlJyhgMpwEJuWHyvLMPKUvYYOgpt6udWvVnUxWKqV8VWq1an9Z5VleW8M5ZRyrK6Sp0aS5qlSVnXxVdpKpicTNKPtKtSyvooxio06cYUacIRbBB0AGB0ye59uOn/1sdq1IohwAMYH8h7dz7dOnuVji6AD26DOfQdTk5+n1Oc6UUWB0yTjj+7wfUYJ55z0/n/OuZZlKpKXvaa9f617s58RiG29Xq/n/AF/XZJIoMAEjJ4OPT3PHX9B/K/bW89xNDb20Ms9xPIkMMEMbSyyyyNsjiiijUu8juQiIgLMxCgEnFT6dpt7qt5badpttNeX13KtvbW9upkmnlc4VFUcEd2JwqqC7FUUmvvf4TfB6w8D28esawkF/4qmjBaX5ZbbRldSHt7E4KvclGKXN6ACw3QW+yAyPcfeeEHg5xT4zZ+8Dlall/D+BqU3n/ElejKeDy2lK0vq+HjeCxuaVqd3hsDCpF6+2xVTD4ZTqr5LPeIMNk1Dnqv2mIqJ/V8NGSU6j/mej5KMdOaq0+0Izk0jlvhL8CrfRPs3iPxnBHdavhZ7HRnCzWuln7yTXg+aO61BSAUjG63tH+Y+dcBHg+miwOccAdyM+nI+Ue36np1jd9p3HnjAXPocZ+nA5PqMZwKhJdu+AcdDjgdM8DPtjj271/rxwBwBwl4X8PUOHOE8BDDYaChUxmMqctTMc2xiiozx2aYtQhPFYmevKlGGHw0LUMJRoYeEKUfxXMMxxmbYiWJxdRzlqoQ1VKjC+lOlDVRiuu8pP3pylJtuVmUH5ic4PX8QBjbxn1xwfemGTgYAH+9jnH0Xnv3zn9WYAJJYD6Hn054Jyc847/oxiByMn/eI5/wAjnPX6V9ZPE3b1b/BdHp3SfpscSjHrdvsvl/w2th5JYksfUjsDjPUYOenIPI+ppDtXknP0A9OeMH6/y5qIsxzjHIOecc5PPb8OP5VHnsWxk+vt7dc98H1OCa5p4iz+Pl30XlbpZv8AF/IrX7KSXnu9u1/zuTGRecY7dQBxkew+pHPH0zTCxP8AFx0xnjt6r7/hz71DuIOAOvfp0/z3wOmDUZkxyT198dCPxH5n34xXJPErprbq3r02WvbXTzKUG9Wl01k7Lp5fjZJ21Jyyjjk5+nOOBgbT2/rmo2bH4cdO/XsMHP1zzz0qu0gOcAdO5IGfUDI6+ntUbOec9MHgHtjHXvj8j9MVyTxL195v56afPb1aNFBWVrt+StHys+qfdL0LDSDufXgHtj0K+nTPc9ugjaXd7D1IBx+WP89R3qAsecDB55znPByTzxyO/wCXamEEnkrjPfHv+nHT+ucck8Q7PVf015W+9d/laXyXZK/333/D5kpfP8WSfyOcgcjPXnPH1phbPTH1B6Zx1yvv39+h4qInHofoATkZOOnoPU59eaaW6dMdOQM9v5d84I6/XlnX8/x9Or/TfqNRXzel3u9vn16LXe29pcj17HuD2HX5c8/07nimlxzjJ/7569DnC+/PPSq5f9MHPcY74Hrzxz9TiozJn8h+HHGOo4ycjHXp3zyTxC6a97b3069Ou9vmaKH9PRfcnfvu16drBcnjOPTGPfrx0PsDg5B64qNpB0yD9ME556gqPoMY96rsTxuOMcc8dSfxH+fWmFgDjkkfXH8s85HT19+OWWIt9r8fRdLLTz/UtRW2vydte/d/Nu3QmaQk/wA8cH8cr/T+tMLc4LdzwTyemAOOvH/1h3iZuQOg5/Hk+oJ9v8QMmItjGOvtx3A49Oo/H0rlniFvuvP9Fpr6bjSb2X4WX+XyJywwSMH8/wDPfuOvHBqPceufw4z+B24qItz+Axxx+g9+cH0weTTWOPQdSPvZ5yD26+nTH41yTxSf2r+mnbb52XS5oqfd/wBfj89+tuiJS+PYHrwDzgnn5R/XmoySckH1759efun0PftUbOB3yDnHU8c9voewx098xvIfXHXpk92/DH17GuOpinprb0vfp130XRL16WvlirWXzervpfW35E5YYOSD+I7Z/wBjH5/15jLj0HpyBxxx/CMe3UflVcsT35PTI/8A1enTt+PLGcAYJ6HpjPfoO3+fWuSdfXf72/LZ/Jbra/RFJN7E5k9h+GB36fd69vx+mIi2cnjkDnp6c8jGcc/XjpUBkJ4APUYyMcZHGR07HoO30ppJPXJzjtnsMjOecjIBx17gCuWeJS0ulp6PS1l19Onky1Brd206bkpkAzk5xzwVOe/cD8OOfyphfrjb1we2D+RI+uahOASMHGeRuH9PT3z6UwuecAkHJ78Ec/XPb/EjjknibbPz1dl089Px1fe5SilZpa+evbz38/uJScdT6g8k/wDsmP8APpTSyjuM/gD+qioSzkYwcY/2uOP0x/nNMyOM/Xj8O2PpnPHHvk8s6/eX3Pt8/wAiiYyDnGBx6D09QO/6enamZ75Pbvkdf9zHUdR6cVEzYA49j+AJ449PfnuRioy+OScYzx05x9Dn07duBiuade3+f3W83bZ7K3QpRb/4Py7epOSB6E89MH9Noz/nFRl+vTB74x6dPlOP85681y4wce3sMn8vToB0phbPGTz6DA98k889vb8a5J4nf3v6b8n531a7lKCW+u23Tb+vQnLjnJ7dCQewxxtHT+h/GMvnp9STj07dCc9cd/1quS3YYyD656dx7+nIzxTCST/CfcZ9ec/XGD2weuDXNLEN9UvRrTbq7Lfvr26lpW0Sv93kvLff+kiYyAcEkkZ9hn8Bnp16Hkjjmoy/bOPpn/4k55xz1/Km54/h/LJx6c8fr7nmmljjgDPvzzn06Y5Pbj9a5Z4haat79fTq07eiXzLUZPpZee/TovVrfdD8g9Tnnuf/ALDj+R596QkDuD7YH/oQAPvxz296hbOMk47Y+vb/AB4PQ461ET6nOB756++M5/qM44rkniel/wA+ytfr+XXuWoLrd/r/AF6jpokmGGHOD84wWHf0OQT26fjzWPNC0Od3zLk4YD5Tk4HOCQewBPUYBIrVzzgHnH4j39vofaonIYENgrgggjqO+QRg+hB/Ida8fG0qWKTlfkq20mlrK1vjXVK2rvdK2tlym8JSi7R20vdLRO236d97dsUuCCOAPbt06dj64+vBPTzfxh4It9ZV77ThHb6sAWdR8kV9jn95wFSfss2Nr/dmyCJIvTbi32lmiJdRyQMkjPoe47Y6+5xxmOygYHUYxjGev5+/r+or894iyXBZxg6uV5xhVXoVE5U5LSdGolaOIwtW3NTrQvpNdOanUjKEpQl6OEr1cNVjWoVGqisnu043V4zjs4tbpvpdNOzPkS8spraWW3nhaC4hdo5YZFKOGXqGUgYbvwMHqD3rIliOcHPHr/I+h9/8j6e8VeFrfxBCZolS31KFCIbgqQsyjJEFyQuSh6JJhmhJyNybo2+fL6wntJ5ba6iaC5hYpJG4wcgDr2YMCCrjKspVlJQgn+VeJeGcx4Qxyp1XLEZfXm/qOPUbQqpa+wrpNqliacdZQbaqRXtKblFSUP0LLMzp4uF4tRqxS9pTbu47WlF/ag72T3je0lZpvkJ4Bg8cHPHp/wDW/H3GO2HdWuc/of6en0/I967KWLGR+B/wOR+Rx+YPOVPB+IP5g+nH4cdBxg4wa6sozdwcLTstN310STevTZ6366H0+Exbi0tun9L81d6ed2fBP7SX7OP/AAmyT+PPAcEVl8QtPhD3lmhS3tvGFpboNttcsdscWuQRKI9O1CQhbhVj0+/cQi1ubH47+GnxMu9PuzYX/wBosr6yuHtbyzukkgurS7t5Gint7iCULLDNDIjRyxSKrxurIwUjA/Z26tc54+h/oT/I/gfSvgv9qD9nOfxJ9p+J3w7s/L8bafF5uvaNaKE/4S6xtUGZYI1GG8RWcKYgIHmapboLJy9zHZ7v9Ufof/Sy/sOeW+GPiLmTnw5XlSwnC/EOMq3fD1apKMKGU5jXqPTIqspKGExNSVsnqONKpJZXOMsu/MvEfw+hm1KtxFkNFLM4RdXMsBSjpmEEryxWHhH/AJjYpOVWml/tcU5RTxatifoL4T/FY/6N/pP9zPzZB6fl/n61+nPwl+Kv/Ht/pOfu/wAY9vU/5z1r+Z74UfFF43gjkmeOSNgjo+5HjdDtZHU4ZWUgqysAVIwVr9O/hJ8Uz/o3+k5+5wXPtX+tSaaTTTTV01qmns0+qZ/N225/RZ4U8T2uv2cbeYnnhBnlSX469yW/z1rr/l459ug/qv069K/Of4RfFLP2XFyf4P4jwOOwbOPwr748P63b65Zxzwupl2qXUEHnH3h9epGBg9OwpgdB8nr+g/8Aif8A6/45pPlPf+nPP+z/APr9OBRsJ7j9foO3t/XvSbT6j6Z/zjgZ5oAcdvr/ACH8l4/LmjC468dOgz0/3c/j+tIVPJJHv1/w/X8aNh9ufz7eo7d6AFwvPPb/AOsP4ffn39xSHZjr/n3O3NJtPqP19vb3GfTvRsOM5H6n2xwD3oAd8vrxn0Hqevy8fjxjPYcmEHc/kP8A4nnp/P1NIEJ7gj6n1+lGw+3+fw70AL8vr+g/H+H349f5GE9fXsB6/wCz/wDq49qTYT3H6/4UBT2I9PXkg8dD0B57flwAHyep/L/7GijYfUfr/hRQBJgep7fzJ5+pJ/Hp0oxxjn68Zxz7dOcDHSm4J/iHboSeOffj8D27UEEY5H5n365b8sd884HIA7aPc/XByOOuR6j/AAoAwSckk+v9Kbzz8w6ep9Rz16ke4HI9aADzzjnpkn/2bv78/SgBSAeT7jj6H8+P5fWlx7nrnt/h/wDqwMUzBz976cnjhvftj3/QijBz179cnkZ+vbOMdevOeoA/HqSfy/LgD1/wwaCM9z+n+H5+3HSmYI/i6c4JIHPY4Y//AF/U0EMP4u/TJ7njvn19+OM0AOCge/1x3/D/ADk+ppSB1JPGT2HXn09s5655zmm4Ocbh19T78Yz7Z9fc4rmPFGvw6FYSyvIBMUcIM/d7bjkn8PTnuKAOY8f+MrfRLKaCOYCTYwc5AIwPu5HTHc9+nIHP5ofF/wCJ/wDx9f6R/fx8316DP6n6V6D8YfiZj7V/pH9/+LtyBz7nP/6q/PfVL678bazMjO/9lWsubuQMR58mdy2qN/tDBmK8pGQBhpI2HynG/GnD/h7wvm/F/E+MWCyfJsNKvXmuWVfEVZNQw2BwdKUo+3xuNryp4bC0VKKnWqR55Qpqc4+nk+UY7PcywuV5dSdXFYqooRvdQpwWtSvWkk+SjRgpVKs7O0YuylJqLjtUufFeonV9Q3HT45S1nA+St1IjZFxIDgGCMj90mP30g3H92o8z0a0tunHpjjoP8SOnp1J5JEFjZqioiIqIiqiIqhUVQMKFVQAFUAAKBjgY4FdHbwYwB/wI8HHryfT1zgdeuCf+fjx98ceIfGDi/G8R5xVlh8HB1MLkGS060p4TJMpjU5qWFpX5VVxFXStj8W4RnjMU5T5adCnh8PQ/r3IMhy/hLKKeWYK06jtUx2McUquNxTSU6s93GnH4KFK7jRppRvObqTqPgg7AccZPT8v5dPYDpjWij4AAwBgZ/wD1d+T0Hfv3SKIcAe3t2x7cn3/pWnFFtwSPm7D0z/Wv5VzLMZTlL3nu+uv579+3UMRiG2/6/rpv5buySxRYA457Dk7c56+5BweO1a2m6bfave2umaZbTXl7eTLb29tApaWaVzwFHQAdXkYhERWd2VFZqhtLS4vbiCzs4Zbm6upo7eCCFDJLPNK4SOGJEy7SSOVUKASSeDjr9+fCP4VWngSwXU9TSK48VX8P+kyAJJHpcEgDGwtHyV3kf8flyp/fSAxRN5CBpfvPBvwgz7xl4mWX4R1Mv4dy6dKtxFn7p81PAYabbjhMJz+5XzXGKM4YSg24wSnisQvY0ZJ/IZ/n1DJ8M6krVcTVUo4bDp2dSS3lK2saNO6c5bu6jH3pItfCj4UWHgGxS+vhDe+J7uEC7vAA8djG4Baw09mwVRSQLm4+WS6de0ISMewF15AJOepJGOOePU/TOM8jmoHlY8buvYkYH15z9MfoKhLdScHsME+nB+9x0x24P5/6/cL8NcPcCcP5fwvwvgaOW5RltNQp0YWlUq1ZcrrYvF1mlPF43FTTq4nE1ZOc5tq8YKMI/ieMxOJx+JqYrF1HVrVXeTe0UrcsIRWkYRWkYRsklvdtufcCd2Sx/DHXsf06Z6ng1GX6dumOCP1POOefbpUJkxzkZ/Prz3JAzj2H6Goy5z1AB469BxjnkfzAx1r1J4ld73s9XZPZ/wBWvruYqDlvd2t5Lpfa3mu9uhOxHPP4bj1B9PyI6dO45qPP1x/L69M/Ue/SoDIoJ78dDzg+oIOPfIx7YqNpO/ygH0xx9fTtnr9eBXLPE7+8+mz9LeatbsjSMEvPyjqui1ey0/4fcslsfxAde+TnuPoenYk8VE0g7BvTOcc+me+MHnnqarF+eCOnqOevBySec/T8qZu91/yAexA68Y/oDXHPEO71t/S/q99r27FqNtkl+L6dX877/MmLn+nr1/PoefTuQKZn9cdQfUfrn/PWoicdSD06En6/xDpjPH1OKZv6Yx9cnAxz/ezxwenp0rlniN9dP636b+pfLfV692/O3ey7f0yf6nrx29T69eP0HGc0wlR3HU9B6jGM5A/Lk8emahLdAx68jnH9c5x7D8BmojLjOOcdc5HPPTJ9ug965Z4iz3/G90/PV99l3KUb9352suier+fS99Swz9gAMkkE5/znsc9QeOlRs4B59cYGPx6cg9cfn64rNIx4zx+WPToev4ewyKYTg5J5Ppg454xz9OcjHT68ssQ+/wB/y6at/wBdClC3/A+T3v5eW72J2cY9M8+2cY6AZHpzzwetRFi3sCPoO3qOx646/qYTJ6e/UZ+mOf160wt688556e3sO/HTnHJxXLPEb6t62v0e3pf79NPQtR6Jf1/VtSYsAeecYBx7DGc+nTPXqPWmlj14UcEevBH49M5x04yc5xAX9CBjvnucdBn8+g7Zx0ZvPtnIxwcH9c9x26e5xXJPE/3vkl6b/ntoWqbe+mq82/679H0JiwJPfPA9iAcjp+PbkUmffHAH4dB+f6/gKh3gdSBn2/ru7Z/D2qNpMEYPtn255Iyc49D19TzXHPE6u2nrq+mj/wCHtbctQivP1/qxNwfYkcnI7j03fTt/jTCQOhzzzwOenfvyPTv+cBkY/X1ye/frz7dccfWo2cnqQB16+mMY5zzz65P1xXJPEO/xN/jfr39diu1l2sv+ATmQD/DAB7DHT37d/c0xn3dM4ODz+P8A9br6VW8wAkDnjPvngDJyc549M98DqwyMcc4HI4I/oR7dM8Hgg1yTxHVtr7tf67WXmWoS30X599O34E5ZQeSM88fz4H8qjLg9APbPtuxx+fr9KhOD/jnPBHPVuue2eg74NNLryc8/X6/7Q55Ht1rlniFrZt/0l38r2umvMtQS8/67EvJ6+54AHP5ken4j0xTSV7gA57YzkH2JP+T7ZgMhPGcZB53A/wBSOeM59wO1Myc4JPXnB9M574Gfw9hXJOu2tWreTXS2mr9LLVlE5deMDPA69+VweO3A745PoaYTkdeMcYB4z346n8j656iEtgcc4x3xn8d3Tp6e2OKYXPQHHTuORgYPUDI49j74Ncs663Tfq/lvfb8RqLey+fToSnGCc++CeR6cnB4/lg84GW5wQQPXrjHfrz6HGAMcVXLjvz3IBJHGc8Dp269MfhUTSHrxj3OT1PuB+vOeCe3NPE7rmfyuuy163t5a/fa1Fve632suy/FeXe/na3njoPfpxz7c8cHOCTkdekRfrjcTzzngd+uB+PP15AqsWzgdc85yOh9Bn+WfY8Ypm44P446eh9Dx0/Q8+nLPEPXp89fn1/FFpJbK3/D/ANMmZ+2cdBxzwfftyfTg9/VhcEk5OepJyT656D1GeOPaoyT6Yx3JI5HXvyOOnPP15YXHqSOmN2PrnJP48iuWeIXWW/n10/7d7+fWxSi3stPu+4lJyPvMen1wc9OO/v8ApnNNJxnrn0Jz6Ht/U4+vIqEu3r19ccjBx/F0/T8gKaWI9P8AOcfxY57evvxnlnifTr5tbbafil+bZaprd6/13/4YmLZGOTj1P68f1JxzTCW7tgfgB0Pb2xz+Yxg5gMmOB75GSPr1PqD3zg5A9Gsx4znvxn6479PX3HXgZ5J4nz1Xn3tbS7/Tt1NIxS0S8l+H+WvTqTMwGMluvOOv04Pr7D2OAKjLnoCTzjBJ784P1Ge2ODmoDIB3Gecd8cjP+HTtxxmojLjnofUnngc+/f8AH09OSeIb6u17NvrtfRa6db/emaKD6u349un569PmWSR0OOeDzxkfr9eOOKiMijpxycgY9fp9evbOMgkVWMmSSD64yQOfYZzg/wCfZm4nqc5PI4Hp3yD0J6n6jjNc062jvK69dOnTZa93aztZlKKWu703/rQsNL79xgdTz1GOnp3XHHNRZJJ4xn8cjuODx1x34qPpnnHToeeev8XsM8ntTC+M85I7EkenfP1//XwOSeJSvbRvy9OiSt92v4lJN6L8NFpb8PXv2J8HqeT2yTgemOuMeuP51n3NsG3PHhWzllAA3DHY5OD7/oM1YLtzyR757evUnrnHFMLAfN3456fmN31xn2571w4mca8HGouaO6dvei9LODfwvr5q6aa0NFHkabko7abu2nTZrtutPQyHbaSOc8jB7Enj3yDxg/p343xV4ag163MkeyLUYFPkTYwJF6iCcjJMbMSUcgmFmLKCrSI/d3ESygso2uec8Yftg8k8du47jgYx3YoSrfLtOCD2zzxk9+wGeOSa+Ez7KsNjcLXwGYUY4rB4mLjeStZqzjKEl/Br0nacJxalGSUouyuduFrTozhWouUKkXo7b7XT6SjJaOOzT1Plu9spraaW3uImhuIWaOSNxghl6g9QQeqsCVYEMpKkE48sXUEcdDntjt/geoz3zg/Qvirw7HrMRubZQuowodhyALpByIXOeH/54uxO0nY5CMWXw64gZWeN1ZJELK6OCrBlJVkdSMhlIIIIyCCK/mHPslxnC+YrD1JSrYSs5TwWLs0q1JNXhUtaMcRRuo1I+anH3Jxv9/l2YRxVNS+CpGyqQvrF9Gm9XCVvde61i9Uzlp4AM8cfhkfl9M/qPUYF3bdcDk57dR+nI7HjIyDxiuyliHIIzwB1/HHYZ6/Xpn0yJ4AcgjjsT1Ht+B/H2IzXr5Nmzg4Wk76W116ab3b9d9T6jB4ppr3nf8v663svTQ/LH9q/4A3Oh3d98aPh3ZMEVnvfiBoFlFwyA75/FlhBGOHUZfxBDGuHUHWNoddSkk81+EXxRz9l/wBJx9z+MZ7euPzya/Xa+s1dXR0V0dWWRGUMjKwKsGBBVlYZDrggg/MCN1fjv+0f8GLr4F+LU8a+EbWRfht4l1DD20CnyvCOuXDNI2msoysej35EkujScR2riXSn8vy7Frv/AGW+hZ9Jr/WHDYDwk44zDnzXDUI0eCs5xdW8swwtGHu8N4utN3ljMLSi3k9Wcm8ThYPL21Xw+DhivxXxS4FjS9rxVk1FKhOXPnOEpRsqFWbV8wowjtSqyf8AtcYr93UaxCvCpWdL9WvhD8UM/Zf9I/uZ+fPp2znv2NfqX8IfiaGFspnBBCjBbII4BHXBGOox+eK/mf8AhB8Tv+PX/SP7n8f06c/p/wDXr9Ufg98Tf+PX/SP7n8X5Hr36H/Cv9Iz8JP3q02/g1O0juIXDB1BYAglScHH09Pb9L+0ep/T39vc59c818r/CT4iR3MUEMs25HVVILdAR256jH4dK+oopFmjWWN8o6hlIPBBBOevoPz9AM0ATFQepP6f4epP5/TC46jJwRjt/hn880wgg/e9eCT0/MH9cccmlwfUfm3Xj3/zx68AC7Rzyee/fj3x7UbRjGTjGOvb8vz9gKbg46ge+T6/XHI56flRg8HIAP+0evPv/AJ9MZyAO2+5wO3GOufT1oK56kn8v6AHuabg/3/xBJ9ff/OPrQAf72eSOp/o3oCf8kgAfjjHJ+v6/n378nvRj3P6epPp6mm4IByR37t9fUfy6c0AE5+Ye3J4z24bA56daAFKg9Sf8/hRTSD/eAPfkj6dz/SigBoVuMfoR79D+dGGH6jqD65H8/wD9dSAHGOOw6k8A9D+HH/1uAYP5ZwScnoQO2PT/AOvmgCMA9P6gYOR19+Oh7/SgK3PUfiOfrzUgBzk4/DPt9M9P8jil/l1+p/L9c0AR4POQO/OR1IPv+Pt145pNpz0xz6j26ZPPUVIQT+uOT3BH9R7jnnGBSYbOTjqP0/Dr9MDrxg0AM2se2ce/+fr7596Xa2eemQM8fQd//wBZ96eQckg/TJIx+WPy/HPakbgbiQoHJJJwAMdenA56/hjPABRvbqKwt5LmdgqRqTyRyewH1P6Zr4n+MXxHCi6AnAADAAN0A7D2Hb/OfX/iz46isbaa2hmCrGrg4bGWwcnr9Tjg9Aea/Kf4xfEN5HuI45WeSRykaISzM7HCoqjksxKqABkscCpnKMIynOUYQhFynObUYxjFNylKTaUYxSbbbSSTbdhpOTUYpuTaSSTbbbskktW29Elq2eceP/FV94m1f+yLCUtLO7GSXO5beBSBLM/PIXcAi5G+RljBBbIuaPpUFjbQ2tuhWKIdScvI5OXkdsfNJI2XduMkkjACgYvhvRntImubsB9SviJbpyd3l9THbI39yBSdxH35DI/3SgX0G1twACR078cnPXj/AOuRjA7V/h79MT6Rc/FDiifDnD2Mk+A+FcVWo5b7KbjTz7NIc1DFZ/VimlUoNOphsnU1J0sC6mJiqVXMcRSh/V3h7whDhTKfrmNpxWeZnThPFOSTngcNLlnSwEHryzTtUxbVuaulT9+GHpzdi2gxjjk9PYDH8vy79Oa2YosdOuc9sfy6D1zyeR2yyGLAGevsT1475wOR+vbg1qQxf3h05PHU9hz2654/mcf55ZrmLm5Wk+un5v8AyTenfc+mxWIbb16/hay/y6a79SSCLADHH+z/AIk/5/QYuojEhACSTgYGck8AD1/LuQeMgtVe3cj64BA6DrntjjH5Z+pvgP8AC0X8sPjbXrfNlbPu8P2cyZF3cxNt/tSVGABt7Zwy2an/AF1ypuCFjt4jPv4f8CZ94o8W5fwpkMLVsTJ1sfj6kZSwuU5ZSnBYvMsW42/dUYzjGnT54yxOJqUMNSfta8G/mM3zShlmFq4vES0j7sKafv1qsl7lGD196Vm5O1oxUpPSLR3fwU+FI8NWsXinX7Yf8JBeQk2FnKnzaNaTJ95lIOzUblGxMeJLWFvs3ySSXIr6BdwvAHOD7kdDz74454HXvySzCMbQRnHI44GB1wT19scknnoaJlI7H0JxjOcn8+c/rX+xnBXCHD3htwvl/CPDNBUMFgoc2IxElH63mOOqKP1rMsfVUYqtjMVKKc5K0KNONHDYeFLD0KNOn+IY7G4jM8VUxmKnedS3LFXtTpJ+5Tpx3jTitt3J3nPmlKUnNv8AwPOcn07j1z9Rz7c0xnAPJ79MdfwJxjIPXGO5zUBckD5j9B0H48EfTke/owk8/Q+g6dP689voa92eJvfX73d9Pn+X6nMopNWVn3k0/wANvndW+WszOT2HQ8njPI9hn2wen5VEz88nr2J9uvbH149+uKYTyOeB3yAO3oP8OvXBphbHdu3Q55/L/HPWuWWI311/4K7Xf3vvbs3y33vLbS/n2Wm763H7+g4HcHv1x1x+X059mbvXHQ92PqPU/wBeO/Sm7zyc8euc/XPAAOTx39KhZ8AnJY9x9RzkYA79Dnsc9QeSeI87dPX5aK/e9+3Sxoo3/wCB8tNraLs36ExZRnv19R1JA749sH3zgUxn4J4x1xnJ9Mnk9Onft05qu0nXHPUcn1J/D06YyPxqMsc5yR65P19APzxkflXLPEN9X5u9lpb/AIa1rfhelG1tvze667fctOnnYMi5zkHjjjODkf549uuMiIysR2wffPTH0P8Aic/jEXHHOTnuc5/IZ/zioyx/vAZHuT688ZHr/nNcssRvd+emna/mv66FKKXS76N6vyt+RKW65btnB/D6dO5+vrTScHgZ+pA/x9D/AJziEtkEDPTuc5/lz+I/WkJOOuepAHA7/h375/LAHJPEpdUvLr089NfPX8C1CT8l5/Lp/XT5vZj1JHbIHQ9fTGO3HfNN3EHr1JPbrx2/T8QMcmmEgdfT15POB39yen6io2dfTPPXBwM4z3x1HPT8e/JPFLo79L9Onbbp0av6GihHrd/LTp597/8ABHsenOMYyMHv6kYxjOccfrSE4HLZ6eoPVT/+o9fx6QmQdeBx0AOT+PY+o5/XmMsT/nHpn19M8d/TNck8S3u7+Wl7q3bb/P0Kstl8tLfgiYuO2T09ewB65A7ZH1z6YiZ/TP1HX/I/+sB6w7wO+cnp+Hbp/U4/SMyHouB65zk49M54IB9fXJwa5J4jqn5fLS/kr9b77aW0pRb6W9f8v6XmTFsZ6enQZJye/Qd8nOfXGBUZkC5ySx9sYHUjnpkj2OT+kJJOcsMnkc/XufwHbv75RmxnpzkEDn1x0P0zxn06YHJPErvd9lffT7vLp3uWoLvfqu3T13/IkLE52gAHjIx64z9PYYBx78Rkk8k/yxj5TnnPOGP+erGfPYH3wfoPUY7kc+uDUZ3nuO3TPoMdj2x+ZycVyzxLez6Lu/ne7tr5/LWxaSWy/rz/AMyUsB/n0288Y7g5I+vSmFzjoTz3I9D7+36daiPHG4dO3Q9OM+vT8cc8mkLc/KO3fAB49hz19Me+eK5ZV1rrr2+7X+Xv328xpdrtr8Nuv5+nzHEseD3z6Y75Hp+Z4ppYZxu9e31PPAxkE9/X0xUTOepI5zjDDjgj26k5/pxURkyeO574Awc9zz3Pb+lc08QurWnkn220t67lKDe+n3E5c54x9crwTyePqfb2Peo2cfxHrzwe2fTnJ/wH4wl+uR19DjH4gf1x6d6iLHgYAB49OeevU/TnH6VyzxOvyvq1+F+/ol+lqMV018/639CfeOo6DHJx14HTqR39+h55qIv75OBxuAB+o44PrnpUeec9eM4BJJ5HOO2Ofr+dNJ4xxyB0J/XjHYcdR+Nck8RfeT+96bdE7/e/wZSi5apPpa3y+T/yv5scWOeoA5PHPAzkdf8APPORy05OeTjPfOOpHX9ff6gU0t64B556Zz+nfr9KaTxjdjnrx6//AFsfhzXLPEJdey6LXR/n5/dqjRU31f8AWl7vv6LsOLYzlicdcHj/AD+HPbrTN/PHJx1HPp69/wCuAOuBGXUAkZ56/nz3PI+nHP0ppcHIHGc9iSM4OcY9cdR04yccck8TZO7/AK/4HV2/QtRito9vvVt7dNFpp0JC3XuB1OTjHTHQ4Az7Zxmmlh6bccnHX26Y4z/LPaoWbHcHPHX6479SD+lRs6gkAdMAensT29ev5cHPLPEt6K/5WTe6vrt2W+jXQtRbS0SXf7lt59P0ViYsT7evHA+hyAOc+2c8dqiLHPJ5Hrjt3/Tn1we3SFpTyMk5PTPTHvnt3OT7gA8xli2cEZwMkAH1/H05xn6845Z1+7037eeu7dmtXdX1WxajHrrt6X8u6fzJjIO34H37en5/pUZkY8jPOfb88859P0qPIxycn1OTz78nHv64PFJvHIzk4yAcf0x64PXpXLLEJL1tu/8ADuvTu7LXYpJ6JL5L5X6ed+n5jiT379Np59uSR/L+eKQbRkdDgZ59vfjP+fWoyxxgADr/AF/TBPHX3GeGZ9WyR1PPf1xx06Z+tcs8S/lp0809bW8912362oPq1H1av0776d9fzUpYZx1A46Y6j6Ht7AH0xioy544wM4GMf4g5z168jP0jZ8AgY49O/GcYI9O39KiLk+gHHcnk9cZyM+xx2J4zXJKu+9vz+7fe+t312uNKKtaLlrvZpbJfLtr062JmbGSSc+h6Hk5zknjnHXqOOMYYzjAK598de/p6nIzgVDuODk9xkcg47jpge/T8aaW6gYGQMHnI57Z98fj2HflnXST19fw0sn9y01vuykpvd2S1tHpsv61a2JCzEEkEd/Q+/Jx+GAR29aYSOeSePTqR3JJP9O+O9RPJjkspzn1J6+3tj+lRmRj90H24wO/Ukc/yrmniW1+rfpZPp+dnoWqdtbJbav8AD8+hMWPXAHXOSD29z1J/r9apXUSTAEfLIOVbuf8AZIHJHYHqCO4zmRtx6sT14H/1z39M0mMZOdo7ZAP1xz3x0x9K4q1SNWEoVGnGS1T0W61XVNaPTsaRstU22tdLrqvm/us+xiMTGSrZyD8ykDvxzgnP8q888YeHhdI+qWcY+0Rrm7jTB86NFH75QMZljUHeMZljXP30Ab1K5iWQblIMgUc9AwB6HkZ4zgnPpnB4xnLZx3HByCCCOoIA456Zr4DiXJ8NmWDrYDGR5qVX3sPiIpe0o1or3K1O692pTu1KO1SEpQl7k5I9HCYirRqwq0/iWko3tGUXbmjLS/K7ddU0mtUrfNE0WRkD3bjqPUZx/wDX+orLljBBB6YP4456468Y9uo9/UPFmgfYZjfWqYs53PmIq4W3nYZOAMbYpTyvG1HymQpQNwE0PUgfl1DZ6nvg9/ev52rUMVk2YVcDilarRlZSSfJVpt3p1qbau4TjaUbrmjrCS54yjH7zB4qFWEakHpJJNX1i1a8JeafyaemjRytzAWyMAEZx6H/PQ8Z/QHz7xl4R0Xxj4f1fwv4isItS0TXLOaw1CzmHyyQyjgxuuHiuIJFS4tLmJkntrmKKeF0miRh6tNFuznOR6ew/l159xWHdQAgnuMggDH5cZz1xxj8Ov6Dwzn+Ky7F4TGYTE1sLi8JXoYnC4nD1ZUa+HxFCpCrQr0K0HGpSrUqkITpVISjKnUipxaaTPo8NWhVhKlVhGrSqwlTqUqkVOFSnNcs6c4STjKM4txlGSalFtNcraPwS8XeEvEX7PfxKufBerzT3WkTMdQ8Ka5IuyPWtDklKwSOVAjTUbJh9j1W2UL5V0nnIn2S5tJZftz4O/EvP2X/SOyY+fnsR39v8Ole7ftG/BGw+NPgS60UeRZ+KNIaTVfB2suuDYaxHF/x6zyKDJ/Zeroi2WpRgOqqYL1YpLmwtsfk18OPF2reGtZuvD2vQXGma1ot/Ppmqaddjy7iyvrKZ4Lm3lXJG6KVGXKkowAZGZGBP/QN9F3x4w3jXwPBZlWpQ434bp4fB8S4ZclN4+EouODz/AA1KNoqhmKpyji4U4xhhcxp4imqdLD1cH7T+XPEPg6XCua+0wsZSybMnUrZfN3l7CSadbA1Ju7c6DknSlJt1cPKDcpVIVuX+kn4OfEn/AI9P3/eP+Mccjjr/AJ/Kv1G+GvjKHWLGG2llBcovlktnB2jjr0OfwPtmv5vPg38R8/Zf34/g/i568d/p+XtX6x/Bn4jZNp/pGc7MfN+Pr35H61/Th+fH6fEHrxgnPUDOe/XH69+O9Lhhzj0547Y98cY/xrnfDOtxa3p8MySAyqi7++emG49e+e46810uD2OOAOCeOmcfl+vbnIBHtb0/l2o2nsOfw9T7/wCTn0qTB9scHqevB9O/OT7565yYOMcEd+T6544z046//XAGYYYwOR7jHf356+3pg5pNrdx7dR+XXjr/AC9akAPGT7nr6k9/qPf34pNp9uOgycAgcY79fft9AABu1sYA7nPI9B7/AF/P3pNrHPH48H1759ev+cyYb1557nHPpxkf/rx1yAAgHHrxknp/+rt68/QAj2se36j/ABop5VieDj8T/Qf59aKAFy3oO3c/j29vwyM5oy3oO+evvjHHt05PI6VHuP8AhwPejce2B68Dnn6UASZb0/U9OPb0P6HjtQC393t645/H/I9c8UwOfUZ+g56DnpjHXNJvb/IHH0oAkyx7fqc4xx6dT+I7jvRk+n6nj1ycYx/kZqPd/nj0I9Pf+nejcc/j6A/0HoPTpQBIS3OAPrn2PTj1/wA45rjPGniGLRdMlO9VldG6Nyq469sE9PTB711NzcrbQyzyMFSNCxPAzjOACe5PA/8A1mvib40+P9oulE2AocAA9ABgYHbHA6H60AfO3xo+If8Ax9/v+Pn/AIuB19//ANf8/h7TUm8SavLrl3l7S2mdLBHGVluFJWS5wcgrCcpGef329sAwgnb8f6/d+KNcXR7SVszyM1xKvPkWqMBPKeoyFIRMk7pXRSRurf0uwitYILaBBHDBGkcaDoFUYUZySTxuZjuLMSWOSSf4L+nB46/6jcKLw24exns+JOL8FOed16FS1bKuF6kp0KlBuLTp4jPpwrYRbuGW0cc5RhLE4So/2Twl4SjmOOlxJj6XNgMqqqOBpzjeOJzKKjJVLPSVPAqUKvZ4idGzkqVWJqWdv04HYn6cHH44yfbgdK6G2iHXGAOg9enPb+nt2FVreHAVcf7x/n3/AMMd+cVsxR9B2/H8Bzk5PGenYdga/wAOs7zJ1JT95u9/u0fQ/e8ZiHJtX+aXp+mi6WJoY8kf1zwOhY/0/Dt01FTAGMYA4Bznjvxz/wDXqKJNo9CcFjycHHQ8cf4k9q3dD0a/1/VLHSNMgM99qFwlvbx9ssfmkkbBCRQxhpZpD8scKO7fKuB8DKOKzDF0MFg6FXFYzGYilhcLhaEJVa2IxOIqRpUKFGlBSlUq1as406cIJynOUYxjzNHz+IrxhGdSc1CMFKcpyaUYxirynJt2UYpN3b0SbfU9B+FHw8m8d6+FulkTQNLaO41i4GVMoyWh02FwAfPvCrB2UgwWyzSgiTyUf9AlENjbQ2lrFHBBbxRwW8ESqkUMMShI440UAJHGihVUAAKAoHQ1y/g7wtp3gjw7Z6JYgN5K+ZeXW0LJf38oT7RdSAZPzsoSJCWMVvHFDuZYsnYkkLEl/wAARkADIGCSOPw/M5z/AK3eBvhVgvB/g2lhsRCjW4wz2FDG8S46PLUdGsot0Mqw9VX5sHlcak6UXFuOJxk8Vi7qFSlSpfiOf5vPOsc5xclgqDlDCwd1fVKVWSf/AC8rNKT6wgoQ1acm8sSc9TnJJyDz354P6HimsSc59vcd/wDZPTg9MdPxh356Y/757DA64wce38ujC3fODjoAOv5ZHbsPr3r9WniN9dfnv+d3tq0eOo20tbbS1301svK2/wCZOWUdgevp/e4HTj1H684NML46KOQfr+g6HtkfXk1WMg5I/HA559Sep/HrzjIqLexxjH+fXP8APPSuWeI6Lb8Ft526X6+di1Dbbbrrrp0VvPqyyXH0z6kjnngYH9RTDNjoB75/z16cc474xVYsAcHAz1x3yc9efTr0H82l8EYA984Ppz1xzn/OCa5Z1+708vl/n079ymlpf5Xfottu3QmLk8dAQTjPGD6dOM/X8elMZ+5O4E9F7cZ7jjj/AOv61CXB7+2MA+/Jzxx+XueS1nOO2OT9fYfhnp24PXNck8Ra7ul5v5a93+BajJ9LLu/69dr/AIkxk9tuMnOcH39eMDGR9APSIsOevPcH6n0zwemeeBgiot3XI6fXsTj1wcj+uegppYDnj3x365xwc8c89sj1rjniVra7+5Lp5369dmaKC6v+v6/pEpZuvQcAjHJ7dv069e1JkehHT1B7dfpxk5ORn0qDzeuM9+SBg9PUDOAen5Y4qF5SeMk+gOPUeuTyc5HoO+DnjniJPrZb26207K/TXfrYuyWys/607+paLgHsTkcDn1xk446+v9cxNLxgYx064J4+mOn057cVXLYHJ246dPz9SAefqM9OsLOM8cnGe3PGDzjkYznP4DgA8sq973d/V+nRei/MpRb2X3/L/O/p3LTPnsc+p5/TGM9s49u9RM+Op6ZOATx36Afoev61XMhPQ4ypyOh4B9OPf15phPJzg9eoHY98DPT0/wDrVyzxEUnd6v8A4Hbe3yt23KUO7+7/ADLBk6YBwc8nPp7HP/1/eoyzEjJ7dOg6j265JH09KgLgD+E8dgP69+QfT04zTTITwMjoeAM/w46fy57enHLLEN6L8b+XfX5NKzehailsv69SbKjOcDGM8nrg9sdOTk88c9aaZPQc/oeg546epz/LFQ5Pc9u4XoccgfmcDPQCmFx6jjHBA6Y/mcdB0456VyTr73lf1vrt03776dVvYpK/f5K5KWJyDkdc4z6t6L65P+cUmQM5OPbPTuMAgf4YxnjpXLkg4IH5dMnPTr7Dtnjg5qNpPXGee2T/APW9v/11zTr262t/wO22vd+lilBvfQsGQc4Pfjn8u3Q5P+VNMZyTkkdR0yRj06dxn09c1XaQ9QFGe2Bn9CcfzzmoC+f7x9+3OOmcY/lyPauWeI7PtvotLbrZfjfyZagl5+trFoydMck8ZGOvyg+ncD1BB/Co2kOeGA9ADyB29sAntn0BquXzn8OQAPTPHTJ5/L6mkyp5P48LnOevqfwH69OWpXezdrdNui6/5L8yknsk/l5W/wAyQv6Yz1JPOTgnPQj16dOee1NLdycdR1929j3H/wBb1iLAdvfHA4HX8SAOmOc9qYWOOMAex/3vr16DPrj6cs8Rv73a+vpt1/y8y1B9dPx/r/gE5YjPPPv24B6bffHP+NNLnsT2zn/63QevNVyT3OT9B+HY9s5Ge+PWo944Hrx0HHbnuP8AHn3rkniL3V7L+vl36v8AAtQit9fx/wAtPX/hrBZj1Jxjkc9sHPTnrg5x+GM0wsBjODx6/wA8jGeD74z0qAueMH8se3TBPP8Aj7ZqMuF5PU+3t2I6cn2+vWuSWJvonf8ApX1ej2u+ul7a3NFFvbb7un9WLDOeAB169B1GCc4759z19sMLdMgc84yeO/QgY56D1/GqzTc8cDB4Jzx7AduKiMxOACTg8Z4A7YGBk+/T0A6Vyzrt2u1rbrbtpre703VrXKUO7v5L5X/rf8i00gGPQjsTxx6/l2PrwTULTdBkDB4POceuMYz29Sc4qsWY85z14GR0/Dt15z7jrSBj7dc9B7+3X0P8xXNOvFX12Xe3bTV31+V3vfdWopbL59exKSTyB9c5z+QH8ic/yQjOSRn2zgcjsMAcdAff2xUZc+x7dP15x+X6UxiT3Ax3wP17dxiuSeK316J6brbd/Pz/AMrUG9dF5tpb26+f3EpYL6D05wTzjnK9eDnnPX2ppf0HI4GTjjGOwHr74JIHtAWA4JyT32jngEjHsB+fHYUxpOOCOc5J4zj2AznnJ57ntXJOu7b/AI62aT9WttNHfoO0U7ayfaO223d/InLf3j74zj649z/49jPGTTDIB+eOpz9TwePqe4z1qsWPrnoeOg6Y68npz09O2KQuAOFyDjOOD0yevbqPxwK5p199dem67ed393V/KkpPa0U9ktX218/uf5kzSNjp2JB5GMew/rgY9CTUZbPfryMk5H1wD06jnI49KgMg+mPYfnkHHA9c8/jUZkHbnAPQA9Qck8YGTjjP1yDkc0sTtbW3Tp376rXuvzKVO+tm/N/Lzt5WdyzuIGAAfc9+uT07j8fXrUZfHXA/4EeM/h7fy9qrl2bB+Vc5/Xg9B69c8c+9Mwe5Bx65PUkcDHr2HoPauSVd9Wl0sl100/yv37lpR7t6bRW23Xbr/XWcy+ik/rx7dM/UcdPWoyWJ56c9M9T152n9AKZwASSp44wAT+WPz4z2qMy4HA/HGAePTv8Al0PHvzyrrvt8+3Vu1vPfpZblpPpaPfq9lvpv5afq5sYweO/JPUnPU7fr39KQsB6n1AJx3HXAx1HI9OfU1i5OeSMnPscc+nXPTt9KYWwemc47D8PYf59a5Z4jz8tO2nV799Ov3jUF1d35+u2l/wCtV0LDSnoMAcDr+fPt+fOSMDJjL8nPPqc5H8s8f5zUBf1yOueBnHJ6fiMcce4GKiMv48ccDA+uR3xz6fhiuWdd+nrv08238rFJdEvTy13/AOH7lkyAcYXPfOOf0A/pn0rPukDfvF++PvAHG4dMjHcD8wACOAKeXboRjjoABn65B4xnt7dKbx6gZHcAn047g5xx79ea4cQ4V6bhPVS1T6qS2nHfVb3emtrWdjWClFqSdv1Xb+tVvukYt0sV3DLbyxh4pUaN1bOCGHOM4IIOCrLgqwBHIzXimsaXLpt5Lbv88ZG+GQ8CWE5w3puXG1wAMMOOCCfcrqMITIhwpPzjAGGJ5P44I7jPoDxy2uacmqWZRQPtMIL27kdWx80ZJ4xKFC88BwjfwmvyfjPJXj6DnCCWPwUZTw8o2viKLs5UG+00nKlf4aq5bxU6jPby7FuhU95/uqjSmtXyS0Snt9lOz7x1s7I8RmiIJ6n0PqM56+o68c+3IrKuIv4h6YPXpj/OOfxyDXSzREFkYFWRiCCMEMCQQRnI5yCODkHuKyJo+oIx7Ed/T2z65HT25/M8txrpyjd2aa8ndWun2trprr2dj7TD1rNa6aXtfW7Vnden9aHIXlvkHAz36fXI/wA8ZH1Nflv+3D8FZrCaH48eEbQi4svslj8QrS2T5rmwVo7XTPE2xRlpbAeVpuquC5Ni1jcsI4rG7lb9X7iHqPUnHtnp1/kQOmDweeO1zSLLVrC/0vUrSG+0/UrW5sNQs7mNZba7s7uF7e5tp4mBWSG4gkeORGBDI7Ljmv6j8BfF/N/CfjjJeLsqnOrTwtRYbNsuVRwp5vkuJlTjmOXVt4J1acY1cLUnGUcPjqOExSjKVBJ9GdZNhOKclxWT4y0VXj7TC17c0sJjaaf1fEw62jJuNVJr2lGVWk2lUbPx4+DPxFz9k/f/ANz+P6fz4OfX0r9afgx8RM/ZP3+fufxfT379c9j3Ffh78R/Ampfs7/F3UPB7tcP4Zv3OteDNRmLN9r0C6mcR2ssx4kvtImWTTb7O2R3gjvPLSG8g3fa/wW+IR/0T9/8A3P4vpz1/PGQcc45r/om4a4iyji3IMo4myHFwxuT55gMPmWX4mGnPh8TTU4xqQu3Sr0m5UcRQnapQr06lGoo1Kckv43zDAYrK8disuxtJ0cXg69TD16b6Tpyabi7LmhNWnTmvdqU5RnFuMkz+lX4NfEBZFtkabcrBVYFuoOAc8/8A6+o5r7GhmWeKOaMhkkUMpBPQ/gfx9K/FT4LfED/j0/f9Qn8X09/0GR7V+rHw18VR6vp0Vu0oLhAUyQT0GRg+vUdOeO9e2cZ6vlv7v6j/AAoy2M7fwzz/AC/LH61Hub1/Qf4UpY9+/wBPU/X269vzoAk59B+fv/ujp/L1pMn+76dzzn8OMd84xTAx4/lwP6cccde/1FJuPt+Q7f57UASgsewH1P8A9akBb0H4n/Af4VHuOO3Xrgdsdvb/AD0oDEen5Djr7UASZb+7n6H/ABH+e9FR72+n4CigCQA+2eB+p57dc5/p2oO44OOmT19jgevfHX14xijcP5d19/fH696Nw/yV/wDiv8/rQADdxkducHryOv4D3/Cl5547exBP6dPwz+VJvH+Svt7/AOfzwbx/kj/GgAOT2z1/HIIx/Lv+VBBz7bh1IPHOT+vHf6cYNw/n3HYH3Pp7fX1o6jfR2NnPcyEKI0bGcctg4HGf/wBQODQB5h8UPFKaVp8tukm1tjF8EdSDgc+n6ZI7V+T3xr8ff8fY8/8Av/xfXsf1xX1V8bfHQ/0v98f4+/Tr79q/MfXbuXxh4p+ysxlsLN/tV93V1Vv3NuT/ANN5F+YHhoY5uc4r5njPizKOBeFc+4vz2t7HKuH8txGY4ppxVSr7KNqGEoKTUZYrG4mVHB4WDaVTE16ULrmuejlOWYrOcywWVYOPNicdiIUKd78sFJ3nVnbVUqNNTrVZfZpwlLoW/CWmSiOXVbxW+26oVlw33obU/Nbw85Klg3nyAhSGcIwJiFem2kOADjp0Pqe/Xrz068celZllByOPUD+pH54xkjORXTW8Wceg+v68cjtz+OMV/wA4Hi54i5x4h8X8Q8X53X58wzzH1cXOmpOVLCUFy0cHl+HcrSWGwGEp0MFhk/eVCjBzbk5Sl/ZmDwGEyHKsHlGBjy4fA0I0YSslKrP4q2Iqctr1K9WVSrVaduecuVcqSVuCPaAe59+57f5x75rWgj/i644HucfTtwB1/Sq8KZI/TODgDqefQZAz9O9aaLgDHTGBgj1xnt15HUZ6DBIr+eMxxblJ631f36J/da336Hl4irdu/wA/1/y0tq3Yeq/0JPuD0GOD09TzjjIxX2h8BPAS6RpZ8Y6nCF1HV4SmlxyD5rPSmIJuAG5SXUSqurdRZrEVYLcyLXzz8LfBL+NPFFrZSo50qx23+sSDIX7JEw2WocEbZL2QLbgAh1iM8y5MJFfftzJHAiW0CrFGqIqpGoRI4kAVY0UABAFUKFUKAoGBjFf139Ejwxp43H4nxUz7Dc+CyatUwHClCtFOOJzjk5cZmkYSVpwy2nUWHwlRKcFjqterFwr5bFn5rxlm0lCOVYeVp1oqpi5J6wo3/d0brZ1Wuea0fIoqzjVs1nmMh4OEGNox1PGTn3Bx0zjnrkVVaQcjIz9eOp9c5z9B+WBUBY9WIGcY/MHOPbHGcZB4OBioy6jkfNzjpgc59x6fSv7vrYudScpzleTer+7RdlolvsrI/PYwUVbdfcvn3+enkTtIxBGAPXBzzjr68A4J6Zx+MZzySQMe4J78D265GeB61GXGAD069sjPqQcjHeomcZ7fQ4B6cZ5HT65/A4HFPEXv+Demmn3een+Zoovov6/z/Em38kenOTjHHAAB4745I/DHMbMQeoH046e2SBz+Pr1qMvk4JJPsRg8Y9cfh1+tNLAdvccr1P4+/X3Nck8Uu97/y2S6ed+3rYtU27NtLy08ut/8ANdehIWPXjOevOevPfHI6Dpz0FNyT2/rg4GPTIHPTPt6CIygZ79MDI9exI9fy68VGZu2QB0xgc/r+g4x9a4p4mXSyWmu34v59O2nUpRitl/S/L5E5bBIP6AcfmevQ9Onb0Y0oHTnnB6j698djj6j6mt5memO465PQ98/X6EDtzUbSKOp5PuCR+pFcsq/dr189O93p36firSb2Vyw0hPc56ex59Qc4zyOn+EJb8M47Hnr6nr6k+vvUJlP8OO+TkHscen/6geaZu3Yz17DI6+wzjsMcenFcs8Ra93bbb5adbdtdPltag+rttt/Wj+8mLgc8noO478d/X26HHsYy5PTKjj69uMnHXvyfoT0jLqOcY7n7vPIPvn/H3xiMyj+Efidvt9MHjp68duOSeJ7beel9v+D87FKKXQmODnLD3zn2P979f/r00so4wO+MDPUn34HTOOO3HaAvnkjr7gnP04OP/wBVNLKMAjHB756c9iM+p/ya5J131f3NfhZ3v3St+Otev+f9foSmTOcDpn/2brk/U8c4PSm5yTyOpz25BHX5ufUn8O+KhaQc49OvfnJ6Z+voeQM80xpB3PrjBGMZ7c+nboOOOlc0q/3P73t3u359SuRvp9+nQm3AHsT7fh/tEccdjgj8aYZDjHIPvk5zjjGfQjIHPB9ea5l4+X1Oeg49RnP5dfr1MRkzwTyMcDgenXPcY6e3qDXNPEdnf0+Xnf736XLUF11/D+vvLDPjPI42ngZ6j9Bn2zn6VEZCTkd+56cdsD+Xv05qDzP/ANYxk/XnPPv34x0FN3A9ifqRjPPqfrx6cgVyzxDt2T7Wt23dvmtfkUktkv6/pIlZicnJPoOgI/HPU+v69mEk57Dg9PTPT/PfvwajLKM5IXjA6HPX04HU989Mn1aX5JAHpyQeuc4ycdeCCPXHeuSeIt19L/Lq/wCt77XKUJN6q3ys1qtOvz2vbTYflj6+vIAGM+59Pfj9Qm7HOcnnOAPbv07dh2Psah3k4J/HkdPb5s+ox+PtTfMxyQPT064+v41yzxHRWXpvst7JW+9I0UEtXq/+G/yJS57DnHBA65x369+ox3pjFsE5xjOeh7jufxzwPT3qEyZ6diOgwMZH06YHXgHqTxTGfnkjkc9MHrnofp3/AA5rkniX99rrV9lbuuu/ztc0itrJfppbf008yYufmwenQY/Ltn8ef50wsTkHPT24PPP3gOx6du9QNIvbByTngZ9ByT9PT1BqF5s9D3PTHf8AmPT0Oep5rklXvre3Xo+i3vZJ9NPmXyN7tJ9rK9vO3/BJ2YY5J6AfXr19/TGf60xpfQDjBJ+736fy/HntVcsTnPHPYqcZ7dcZ464Hf0yDIJ5GST3Kk8/j0+lc066W7bv0+JfLSyXovUpRS2Xzer6f15Pox5ctnBz0GM4HbP8A+vn0yaYd3bI9McdvXJP8hjI9KbvUdv0HsB39Rx9KYZCfujHp0/DgkdufpnuK5Z4nqv8APS3V7flp3uWot7L5vawpU98c+4HPPvz2J/xyaQkAnBycn0z3+gzjB/XIqMuOSSec9D24688H8qaZAOFAyO3U++OR0/zjHPLUry+//gfhsra9epVorVyv5L/P/hh5JHT8enpn1H4+1IWXqSCB6gZHT1I449Px61DvJ4GOegOOvfHOAeenB5HSoy69yPp0P4/N0PGQeDx6GuWdfz/rTrqvu9GUr292Kj5vV+mvT1TJWcdhweOcDHJ49OoODj1ye9R7iT1x1BOc8npk9jx1GfX1phcdsYHI6d+3JOOnbA/oxnUZJPPf6/yz7VyzxPRPbS3y2vbyXZedxqF/ivJ+T0Xyt/kPJ7cH3+mBwf8A9WfekZjzggdSQRk9vxA4/D8KgMpOdvQevGeM9Tx056dPzphLHGW9Dgfzzuzj6GuWeIfe35/Pd+W+xoopaNpeS76b6dvx9LErS4JwQRgepOP8B/KmFmbtjqMkc/XH4ex56YpnAB5A4P15I9+SOR/+rlpkAHXJ/AA9PUjjB7jnqMcVyyrre6flbXp20+93KSv8KS83vste3533tuPKk9W/DHH5cg/jSfd4LfhgZPGPX8Oe4/OEysegHPGNw/HjP4A9+PpUZkGecDuOmR+fXn6dK55YjR6rTyT7bXVt/wClYag3u+m2iWltN9n0slf1RPvA4U+g5xkc/X3weOmBUbOWydw49vy56dTjnHf0qEydePrgA9PX/wCvzx+cRlHOSQfX7x465Hbj/PFcssQ9/wA9l9+n4F2XTe/zvp53169+u7LG4jv+QHv35A9scfiTTC5Hf35zzj0PY/TPXmqplJPH6gHt2GcduelN56nnv82MY9cbh34z6HiuWdd91+X3Pf5JW1+TpQk/Lv8Ag/6/Rkpk7AknoQMdfUH9T6etMZnII4647FgD05z9fp+tRlkA5GSPw7Zxx3+vXsaYZOoHH04zwee38+e1c0q772/C7utd79/w8y1BLfXbzXTyXXvfz8pOuSSPbgHIHp6f15yODTdwB4wTjoQBxz2Bx+P9Ose4d8/oOMdsH9e+eKbvAH09Rk9MZPP5nsOOetc86611v5fLRbX++y+RaXZfcSFnbP8ADz06/wBeg9CPpzTDnvg4HQ4HJ9fm6kc+npzUTSEdAOOOg44yO3QfX1ppPXIyPYgDtnp056fWuWWJts+3T+uvm7lqEn5bPW3l/Xp2HthhtIBBGCMDnrnPpnpyQDj8sWdDE5GTtYEgkjBHPHHccjHr0rWLgcY46DBH04/XH4VVudsq4GAwyVPX5hk9+CD3I6Zzg4FeRj4fWaaaX7yGsGt2tG4O2vvdHa6dulzWmuR73T37evXVf8A8s8UaaI5hfRLiOdtk4Ufdm6LIcdBIBz/tgkn95muInjyM/g2Pw+bI47Dpx+te03kSXcMtrMpKyKyMMcg9mGTwyn5lOflIBxXk93bPazyW8g+eNijEdGHVX9cOpDA9SD2xX4hxHglgsf8AXKMeXD4ubc0lZU8TvNaKy9or1Fv73tElFJH1GWYlzh7OT96mkou/xU9LW1veO1/Q5ieLcD0yM9B39fT8Tj364rBu4MgkgjqGGOfr+BGQeR1zxXWTxkE554H4jt9SO5x78cCse5j5Y8YPB6enHfn8+fQd/QybHuE4e91XXrp8rPa/RvysfUYSvZrV9P018vu8ltc+Jf2ufgkfi98NbttIthJ438Gm48QeEpUXNxdyxRA6noKt94prlpEscMe5EOqQaZI7COJwfy5+DXjuSGS3ilkaOSNwkiMSrK6NtZWU8gqRgggkEcmv37vYOvf365GeDn2PfGcH6V+H37W/wwk+DXxlTxdotubfwd8SJrnVolhXZbab4ljkR9f08BPlijupJ4tWtEO1SL25t7dPKsGx/sD9ALxqcpYzwfzvF3pYmOJzvg2Vaon7PFQg6+dZLSu2+TEUYyzjC0oqMKdWhm05OVTEwiflfjDwyq+HocV4On+8oqlg83UY/FSk1DB4yVutOclhKkneThUwsVaNJn6b/BTx9/x5/v8AB/d/xfT0JPT3A6V+vHwU8e/8ef77+51YAdvfn+lfzZfBPx5n7H++P/LPocfzNfr58EvHR/0T96P4OrZ9PcV/qSfz2futpl9HqNlDcx4YOgzjs2BkdseoPYep66B3cYA/TpzgfljpXhPwk8WLqFnFbSShg6KFyejYGO/fp6c17rvHXn9P5ZzQA4Zx0P4kH8Tz/L149k+bI/DPPQYH6g559/yN4/yV/wAaN49/0/x9/wCfoaAAZ9MDPP6eh+vQc46DNA3c9eOnQ55Pr3xjGe4ye4JuH+Sv+NG8f5I/xoAOR0+nr9OrD159cdqKTePf9P8AGigBfmx05/zx165755HvxSfP6D8z7/7XX/OcilB/XA69eTz0HJwT054oJ4z9fQdjx357cdeo4zQAnz+g/M/pzwev/wBbFGX9B+f59/y9BxS7ufXPTt6cc98HPP4HBwAHJOO3U/j0x+fIoAT5s8gDOR1PXB9D04/DtzzXivxY8Tpp1hJbLIFKoxfBx82Mkc88Zx6eh7D2C/uksrWa4c4EaM3ODztIAHfr/XtxX58/HDxp/wAfgM3B8zB3fX9aAPjb42+N/wDj7/ff3/4vrXkHhHSpLOxWa4Ui+1B/tl0WB3I0gHlwHPI8iLajKCR5nnMPvmsfWrqTxV4vjtmPmWVi/wBuvM8o6xuPIhbt++n27lPDRJKK9MsoemBjoB9OMn0HPA+nvX+X37QXxcdGGTeE2VYq0Ywo8ScVqlPWVSSlHIcrq2af7uHts2r0J3jN1cprRtKmj+gfBvh5U6ON4pxNP3p8+XZXzLaMbPHYmF9NZcmGhOOqUMXTekjVtYsKOMdgD/X8ME/n61vQR4wB+PfJ7n09umckg1St4xlTjgcDjjP0zx65zx6dCdiCPcQB0/kB1/M//rr/AB1znGuc56+Wrur3V7d7LRb7a62P1bGVuaT1+fXo/wDPz72ukW4UwoOOvHvt9uev5VbRSSD17Ac89s/iOB7Ypqr0479PQYOc9h2I7+leu/BzwkPE/i62luYvM0vRAmp3u4AxySRuBY2rfwnz7kB3jYYltoLha8Ph3IMw4y4mybhjKoqWOzvMMPgaLknKFCNSV62KrKOvsMHh41cViJLWFCjVlrY+czDGU8Jhq+Kqu1OhTlUkr2cuVe5BP+acrRjprKSPqD4UeEl8GeEYDcxbNX1fy9R1RmAEsbyp/olgT94fY4WAdSTtupLlh8rCu3eRiSxxkkk5PPPJHXPfGASMfWn3k+99gPyoemRyx6nr0HT67j34p7h29z1Hp9fb2HOTX+v+UZZlfCmRZPwrk0fY5VkOBo5fho2SnVlSilXxNZpJTxGKryqYnETsvaV6tWpvUsfidarWxmIrYvESvVxFSVST6RT+GMVq1CEeWMU3dRil0Hl8f05PqP8Aa5/D6nHQtLsfoevIPsAPm+o56+5qPcAOT/8Ar+XHAI9OOn55FMMnXt68kHseAT6f4DrxrUxPS9vVu/TW99tlfztbQlQivP1+Xol6kuSew4H94DggZ7+vOfTHfmmlwDjk84BBY+p6Drx/+vGKrs5I75wB9Oexz09vr9KiLEc9s9eAc89TyT2PHIH0rjqYhvd/j5rW+np/SL8ktdtPltr6+X4WsGU9j645J9OCCenbPP41GXJznPJxkk+w6Z/mMH2FQGQDpgkcdMdsnBJ9Oe3H0qMsxB/h79B2J9+Tj179T0Ncs8Qlu/S+99Pvvs9PlaxSg35Lz1f5f5E5fHBPHJOTnv8AXvyefY+tRGTrgMffJ9B0+b8e/X2qLJ7/AEPQZGenJ4PXPuMdiaYzADjPoeBn16jn3x6c5rlniU7pa/e9PXrp6foWoJefqTFnbHYc9eh644wCP581GSR14+pPpk/xH256euKj8zPGCOgxgdB+Ix79h9KjJJHX89vfPv8Ah2wP15Z4hveSStt9y/HzW22xVvl+iJS+OnJ+pHc9yw/xHcZ6s8xjkep6bv8AE89Py+oNRlwMEEkZ6A8nkkeuc8/qPemmQdc9ucZ5/M59Pb8jjllXW+/m3+bdv6/Gkm9lf8F09PNPX02JCT3AHpyfUds9OPb1Bz1YXPbPPcFsZ4xzk/n9e4FQM4z1JPJ6EnPB4GT19+x79oy556DjHPXt6Z6cYB6H8RXLPEJdfkrt3fe93r1aX6FKHfy0X6/jt8iw0hOeSB1Oc+o6c89+4x65FRGTsMnjsT+vJx+H61XZwerZ6/lj0GcY+v8AKmlsjOfUD8ASBz+HTv8AlXLPEP8A4PV/16opJLZfO2v3/wBL5kzSEjr6+p9fXp26fXqCKjLN2ByOCc9cjqM57fT/AAjPJBPvjPQ5J+vbH4DtwaYXQZzg89ATj/HjnsBz9K5Z4hbuV7vVb9uzS7vfp6lqMnst7br02/HuSbmP59MHPqepGT9O/wBRlM468fi2ewzjjPp1+mccxb1PoBx2PXnGSfqe/wDKv4cf+Djz/guv4y8KeL/Fn/BPb9jLxxeeF7zQUl0X9pz4z+E9Qe08QRavcRYvPgt4F12xkW40Q6ZbyLH8S9f0y4j1f+05X8DWt1po0vxVBqX1/AHBGfeJPEeH4dyKEISlCWJzDH1lN4TK8BTlCNXGYmUU3JKU4UqFGK58RiKkKcXFOVSHPjsVQy/DuvXbeqUIR0lUm9VCN/RuUtlFN67P+lT9pL/gs9/wTF/ZL8V3/gL43ftd/DvR/HOk3L2Ws+D/AAbZ+L/iv4h8P38LFJ9N8Sad8KfDnjSTwzqUBBM2m+IW0y+iBUvbjfGG9N/ZU/4Kc/sFftt3r6P+zH+078N/iX4njt5bxvA32nVPB3xEazt42kur63+HnjzTPC/jW70+zUZu9Rs9BnsbXKma5QSIW/xvmZnZndizMSzMxLMzMclmJySSSSSSSScmtrw14m8R+DPEGi+LPCGv614V8U+HNSs9Z8PeJfDmqX2ia/oWsafOlzYaro+sabPbahpmo2VxHHPaXtlcQ3NvMiSQyI6hh/YuJ+h9wvLKXSw3FvEEc8VLTHV6OX1MrlXUdG8shh6eLp0XJfAs2nOCbfPUas/locUYhVLywtD2N9YRdRVbf9fHJxbXnSSfkf7iBYDqPfnIHOR6njkfr7U0yeme46t74Oep6EcA+pyBgfyxf8G9f/BcbUf26tCb9kr9qfXLJ/2r/Afh+XU/BfjedbbTx8f/AANosA/tK4ubaFYLRfij4StVF54ktrGKEeJ/D4k8VWdms2keKZIP6kDIAD29D3468Z7Zz0+vSv4W444Uz7gLiLHcM8Q4ZUMfgnGUKlOUp4XG4WrrhsfgqrjF1sJiIKThKUIzp1IVKFanSxFGtSh9lg8RRx1CGIozvTnpZ254TXxQmr2Ul1V3dWabi03YLEjBJ4zjr+HORg8dMc44HSozIAffg8Zyc4GOuT6/TkYquztk4GT0zkj39ecc9e/H0aQT3444/EZ+vfqMc88V8VOv1cvu+Wtk+/d22uro7FFLpd938tu3l1+RMZTnPT6ZPoM8cjp68/hURdjyB+fT16Z+nqOvAxTSQO2MjqAOoxjrjOP898NL+mee5xj29f0x75rlniUr2astNdeqW115dHt16Uk3tHS3ptb7nrttp0uO+YjkZx7n07YPr7D9ThpOPT0xub3469sfke2aYWJzkjr7Dp0zx6H/ADxUbMoz0+p6fnnOe2fpzgVyyxLbtfy8ltu7/fZ+vUrltbmaXktfu/HoSlz1AJ9vmHb3P6+vrTSxPfPQgZ5PfpnPTpwPfvUG8Y4wOPXAJHHGeQRn1Gc+maaTnOTjp3wevX16diP1rlnXvu76rr59UtL37vUpW+zD5yfpr2ve+36EhdQSR688nPUdgeev6/m0uT0OOvOTwcE4PJ6c89OMfSHdgkDPXIOTjkjr3z9T7joTTS3vt46Zx/PP1+v41y1MRFdfnu+nnbW3nd/Irlb3fyX9a/cPZsZyQCenJwRgDgZxjuD+YFNL4zgDOMEE4zg4z19OOecioGlUZGSeo7euPTHr1xx+FRliTjOM+vsee+BznHqc9K5p4hvZ/N/jp8uiTLUEu0fXe1/v/pfKwX7nb68E5+hODn8TjHFfJP7UH7d/7IP7GGl2eqftPftBfDn4QnVLd7zSND8Qaw974y1yzjkaGW90DwJoFvq/jbXbKGaNoZ7vR/D97bwTYillSV1VvzM/4Lkf8FhNF/4Jk/B3TvB3w1bR/Ev7W3xh0u/Pwx8P6isd/pvw98NRyS6ff/FvxfphY/abKyvkl07wbol35dv4n8R2120wutG8O6/bN/mWfFX4s/Ev45fEDxP8VfjB458S/Ef4jeMtSl1bxN4w8W6pc6vrerXsuADNdXLt5NrbRLHa6fp9qsGn6ZYw2+n6da2tlbwW8f8AVngT9GHM/FTAR4q4lzHF8O8I1Kk6eXvCUqcs3z10pulXq4J4mM8Pg8DRqxnSWNr0cU61enUpUcK4RlXj83nPEVLLJ/VsNCOIxSSc+dtUqN7SipKNpTm00+RSjZNNy1UT/VP+DX/Bc/8A4JS/HrxVaeCfAX7ZPgC08S6hdJZ6ZZfETQvH/wAIrTUrqZxFbWthrnxX8JeDfD91d3cpWG0sotVN7dTvHDDbvLJGj/rBGyzRpNDIskciI8csbK6SRuNyujq5V0ZSGVgSGBBU4r/EOr+rX/ggD/wXJ8Z/s4/EHwR+xj+1b43vfEP7M/jfUrDwp8LvHPivUZbu9+AHijUZks9C0ubWb6V5V+EOs3kkGl3un3s32DwFcz2uuadLpnh+LX7eX7vxe+hq+HOH8ZxF4a5vm+dyyrDzxWP4ezqOExGZ4nC0Y+0xFfKcZl+EwFOviKFOMqn9m1MEquJpqaw2JqYmNHCYjiyvix4ivDD5hTpUVVkoQr0eaNOMm0oxqQnObipPT2inaLesVFuUf9D0uBxuJPoDgj8cnr+Q6g44LDKewx0A5HT654J79OnsRUO8D+Inp3x1wR0PPf8ADkGmGQd2OO5PTqPXn26d6/z8niL36+S26dFp+P4n26ilbrbr62v+Vv1e7lZ88nj3JPvjuO+Bn19MUwydhzj1brn8T9cdPr3rtL2Bz7jge/OM557Dj0phbPQgdOADwM+px6/5PNcsq711+53/AOAvue192ilFvZWXTy29O/T5E7S46nP1PXnnHXPaojIQDgEg55O4YPTHvjA6/Soztxktnjrznj1yTj9OpphdVyAM9eoOe/4e3GfX6csq/m30u9d7d9r9ktX8mWqaW7b8vuv/AErb+ZId55I9c8kfnyKaWC/3fcKDyOO+D+OOn8oi+e4H0HvjkfTnjBPt3blcYPYen09x6d8Hjn355V1pzS+7f5Xv+GqLVultulvzJDJxwCB268AnqTnHPPY0wsxznPfsThfzHTtkfzpjOMDAJB9j3IOep7j689DTNxOOvc8A4OfTj069B9e3LPEJPS2/q/687L5lKMn0/rTr1+4k3ADtjryO/wBd3Oe+T3xyOKQyHjpycd+efqQR+mPSozgc9Dzzg5OD25HJz1798c00uoyQec89fXPqevsPU+1cs8Rfa+v3X63/AKbV9C1TX2tfJafi0/IXeehzyemRj39wfqRz6dKNwH8PoeT6jOT3OP8AODioGm4456EHJ9zwSccD/H6xlj6/gO/HoOucf4VzTrd3b5+m6T0X4N69LGlktlb+vT1/z72DKoBxg555OQOmc+3+cYGBE0rE8A4Oe/H88jPpyPToahyOvpnsfx7e1IXA7/hg54/HqeB9TyOeOWeISXe/fa+n6Lfd7MNX66efp+lhS5PBPGeecZ5wcDnoeTyCPakzjP3fbn8cn6/45PQlhk54wBjgknOevTOMd+vT2phJ7t+ZAGe4A57dc+2Pbllibr4la6VrpdrbefT73axSg7dtN2/z3fff/h6l5GdwlGOcBwOeccHPQDsfoBznnh/EllmNL5AN0Y8ucDgeWxwj46kKx2k9fmU9FxXftgqVPQg8DGCCR0JHbJxgdgR6nAuIQ6ywSgMjhkfJ4KsMZ9RxyOchua+P4iwcMXQqxbSjVi3FvanXjrCXdKTXvdWudaJnfharpzhJO/La9+sNLpbdNt380eTzR5XpyASOhyO4z/L+VZMyZGO39P15zx79+OnRXML280sD8tExXdyNw7NyejLgjv0HHSsiePGfz6cYPXvjt0/KvzjAVpUqnLO8ZQlyyT0acWk79uV76d097n1uHqrRp6O0lbs+z7Jvfszl7mLIORyODkdj/LI6/gK+ZP2lfhDB8Y/hV4j8JpHGdcgi/tvwncvtU2viTTI5JdPAlYhYo9Rje40i6kOfLtdQnlALxoR9V3Mfft0PX8CM+n481zd7D944/wD1H9eD+hJr9v8ADri/M+FM/wAk4iybFSwuaZHmWCzTA11e0MTg60K9NVIpxVSjNx5K1J3hWoznSmnCck/d9jhsywWJy7GQ9rhcbh6uGxFN/apVoezlZ7RnG/NCa1hNKS96KZ/O38IfFd5pt9/Z175ttd2Vw9rc286tFNBPBIY5YpY3AeOSN1ZXRgGVgVPIr9dPgj45YfZP35/g6tn09a/Of9sj4cv8KPjfF4y0qA2/hn4mCbWR5alYbbxLbyRp4htxgEKbqWa21nLMC8uqXKRqEt8D1j4I+NsmzHnf3O/09+nrX/Sd4eca5Z4i8E8Nca5S0sHxBldDG+xU1OWDxdnRzDL6klZSrZfj6WJwVZpJOpQk1o0z+Ms9yjEZDnGYZRidauBxE6SnayrUnaeHrxT1UMRQnTrQT1UZpPVM/pE+B/jgn7GPN/uc7ic9P89fpX6NaTfrqVhBcxkNuRd/PO7AzyD369vSvwo+B/jQ/wChgS/888/NxnA/nX68fCPxMmoWMds0m7ei7cn+LAwBgg8+me/Xnn7M8k9y+b0HX1P+PHX3/QCkJfsB/n8f6D6UoYYHqT0znvj/AD7dOKCw+v05557f560AJ82Ogz6EnJxj3/Pnn8eVy/oP8556n2/z0AeM9fp+HA/T3yeg5AA3qR1H5ZI7AZJwfYDB9cgCZf0H+fxopSwHXJJ9PbjueP8AOaKAG9PUZx6546fwf5x9aQj/AHj1HU+h/wBkf568Zp4AOfl/n/UD9PpSEDg479Oeep6YJ4/+semKAGj055HTJ6evC9/X0pfUc498nkn/AHeO/bnIxS4HPH8/Y8ccgY44PQepprskaO7cKgLEkdABnuB0+p+tAHl3xN19NM0qSJX2syM7/NjthR27cjI71+SHxx8ZY+2fvf8AnpnJOOc9Rk4/z+H3R8cfFuBdgSYADgANjAGQAPoO3/jtfkl8RNRl8S+I7XRo3Yrd3X+kFSfltYsy3LZB+U+SrqhzjzGQdSAfLzzOcBw7k2bZ/mtZYfLMky3G5rmFd2/c4LL8NUxWJqWbV3GjSm4xunKVorVo6cFhK+PxmFwOGh7TEYzEUcLQh/NWr1I0qa62TnJXfRaj/A+nuli+pTKRdaxL9rbd95bflbOPOT8vlEz4IBBuHHYV6pZxABfwUcY9unv9OuO1YlhbqgRUAVUVUVQAFUAbQAAMABeBxjGAOldVbR8gY6Y6/TGPQ9gf0HNf813i/wAe5hx7xlxNxfmkpfW+IM1xWYOm586wtCpNRweBpSdm6OAwcMPgqF9fY4eCd2nf+1cJgMPkmVYDKMN/AwGFpYaMkknUlCKdavJaJTr1XOtUtpz1JbXNGBMBQMgn6gnofQc9cHHt61rQJgZ6ZHXqAo/z35qlAmSB6+g7DqePU/41qKMY6YPA5+o9Cfb6kE5r+dMxxDlKV35L9XqtW3v6HkV6l22+rvtr09He6S17EqAE5xnsOvGMA4yMcdegxzzX3N8I/Do8LeCra5mQR6jru3U7gsAHSGZANOgJxkCK1xOUYApLcTL1PPyT4D8PHxP4p0fSCpNtLdLLekDhbC2BuLzLfwGSGJoUY9ZZY1GSwB+9byYb1iRQkUKhFVVwq4AGAqjaAoAUAAY2jHFf1f8ARK4TisVxF4iYykn/AGfH/VvIJTSaWPxlKniM3xVNtLlqYTASwmGhNNqUMwxNOVna/wCccY41uOGy6Ev4j+s4lJ7wg3GjBrtKopTa0s6cX1GmQDPrnk5bBJ/UA+v4eoqEyHkc446E4x26g/y/KoCw659wF79D6cfT0+uKjMhPABH1BPJycHIxxx6+1f2XPEPq9N3rftb7/N31vu7nxKi3rbta/wAv61W3fQsM55xx3z34A5zt9QDgD+WBEZBxjknpjkY4zzt78A/zFQEk9TjHueM7cjofXjnA4poIX6+/txj7vf8A/Xg1yTxEej/r3dfJfLVLaxaguuv4EpkYj8+cEHH1APXjsM9OtR5PXJI5Pf377eOOOMeoxUZk4wAeD6fzwo9c9Pr1FMLNx+WAfrwOBgjB6d8YBrlniH/l8rfja3XbUtK21l/X4v8AEnLgDnkd+Sfx+7/L61EZBngAduhB46/w/njHHWouADnPB6A89MHsf/r/AIctLjJxnkHqDzn6Dse/0+lcsq/nfbz7P0238/NatJvZN/1+BISTnnp168cj/Z7YwOpAz6U3cAD1J9QT6D2P6jjselQtJySTxjtgZP0wf8+pqIyAYA6Y9MdsZ6ck889+5FcssRbS/wCvb5P53631LUH1t+D6rTb/ADX3loyHtkDB65PIz6g/j6YqIv6k+nHX2x8uf6gfSqxf1JOeyg/mSQT+lRlvTofr0+u054zmuaWI9fVt6P5rbpql6lKKXTX9dP6TS731LDSEEgAj6npznI7nnv1/Koi5IwSTk56cdep4P45P51ESfcnHToTk9T8oxx37dvWkJHAyMDt1P546n06dOo4rkniNd7ff+Nnfbv36W1tJvRL9Ev66eg4s3QYA68ggdcc4A/Xp1zim5P8AdB6c8j07n6c9umaYX9AT1+8PUjnG0fX0z+JphJzkn3PXp8vtz3+nPoccs8Sl+f5W6+jTv3XYpU9r6W6J/wBLt+XdEu7B55OMZH09xjk8j056jim7j2Hrzznpnk4z+Prx2AquxHXqfpn36bRjn+uetMLemBx3B6YJz/P39Ogrknid9d7eXb79fLXqjRRS2X9f1/WrJ2b1Pr656Hufwx/UYphccgDoeen8X1GOemeSM46ZqBmGOSfXHtyc9OmcdC3HrUZkHPbv0wQc8dh64GePzGOWeIfd+W9ul+t+vTT7i1Bvy9f8j84f+Ctv7cEH/BPr9gv44/tD2NxaJ8QbbRYvAnwasbtYpV1D4ueO2k0XwhN9km/c39t4YL3/AI51fT2ZTeaB4V1aFWWQqD/kI61rWr+JNZ1bxF4g1O+1rXte1O/1rW9Z1S6mvdT1bV9Uupb7UtT1G9uHkuLu+v7yea6u7qeR5ri4lklldndmP9pH/B4d+01c6j49/ZQ/Y/0nUGXTfDfhjxD+0P430+KUvBd6v4o1HUPh78OnuUVtsd3omm+HPiM8asPMNt4oWTCxyIX/AIpK/wBNvoqcHUsg8OKfEVajGOacY4qrmFSpKKVWGV4OrVwWWYbm605Oniswg73kseub4Yxj+fcSYp1se6EZN0sJFQSvo6k0p1JJd7uMH/g87sooor+nD549T+B/xn+If7O3xf8Ahv8AHP4T69P4a+I3wq8X6L418I6xAXK2+raJeR3UdvewK8a32k6jEsum61pczG11XSLy9028SS1u5o2/2If2Lv2pPBf7af7LPwQ/ag8BCOHQfi94G03xDcaUJxdS+GvE8Dz6P408H3VwoxNe+EPGGm674bu5lUJcT6U88WYpUJ/xi6/vQ/4NA/2q7nxD8Lv2l/2NfEOptLL8OfEOi/HT4b2lxKZZV8NeNwnhX4hafZoxzBpei+JdH8KaqIUBjbUvHGo3B2yTMX/kX6X/AAPSzngOhxphaK/tPhDFUY4qrCP7ytkWZ4inhK9KXKuap9Ux9XB4qk5Xjh6MsfOKj7Wcj6jhbGOljXhJStSxUXy32jWprmT8uaCnFpayah2P7RDIB2H59uM9QP8A9fWmFycjGMn8wMZPf2/Ltk1XMgB5HXt1OcdjjHQgc5z0JprMxPHTtxzzgew9OuOhPrj/AC/nXd9ZW9Ne3S/ybXRH6GlFbRcn32X5eXXy7aylgDzk49Oeeh4wPf16npxTDLnoDnrnkDHvnt6np7VCx555HHTqPwx+OCD6etMLfXgjrk/l8v8A9Y8Z7VyzrpdbNLq77WW3nfq9b2LSk93ZaaLp3t2+/wDAlLk9cjPf16d+/rkcg9jjluVwc8kcZ65685wenbHP4dYWkGOW49Og6dgVx/8AWGfUVEX64B7kkjg9c/w+5HI/kK5Z4m+2uy107b/pv5WGqaWtvnJ+muvy2X4k5bg9hyckEH6Ekc9Pz7ZxUbSAHJJPtn079M+ue3HPHFQk5PJI54Cgg9zzx9OBx3pMAAE5HAPQH25O3/J/M8067e8tFb9Lb2tstu1nrYtKPm35LR+XceXY9M465OT/ACHPYj054BpuCTzz04+YDv2xj069xz1phZR2J6dAMfnt7Ht3H5UxnbpjjrwCMfp9e/1rlnX89/PXprfd9tF+hdpWVrRWmlvJXd97306bbkpAHUD/AL6P8sVwnxO+JHg/4PfDnx58WPH+qRaD4G+Gvg/xJ478Ya1cHMWl+G/CekXmu61fFcgym20+wuJI4V+eeQJFGC7qD2RYHt/X06ZH1GB7nvmv5nf+Dpn9qm4+CP8AwT20z4IeHtRax8VftWfEbTvBN6kMxguz8M/AYg8b+O5oHQiQxXOsW/gTwzqMKgR3OleJr+3mbypTHL9Z4d8MYjj7jrhbg3DTqQef5xhcFiK1PWeGwCl7fM8XGLUrvB5dSxWKUZJKXsrPR6c2OxMcDgsTi5a+woylFNu0qllGnF66c9RxjdbX+Z/Bj+3d+1/4+/bt/ar+L/7TfxBmuY7z4g+Jbl/C/h6a4NxbeCPh/pbHT/A3gnT8HyUt/Dvh2Cytbua3SJdU1dtT1u4Q32qXcsnyJRRX+82V5Zgcly3AZRleGp4PLcrweGy/AYSiuWlhsJhKMKGHowW/LTpU4xTbbdrttts/FqlSdapOrUk51Kk5TnJ7ylJuUm/VtsKKKK7yD/UM/wCDe79vDUP22f2AvCdh441uTV/jP+zffwfBL4jXl5cNPq2vaTpGmW118NfGt80hkuJ5df8AB7W+j6lqd1JJc6v4p8K+JtQlbdMa/dDPPOe55J5yMenqewBGDxX+cn/war/tJ3Pwp/4KC+I/gPf37xeGf2n/AIUa/o1vp5lMcE3xD+FcF38QvCt/Jk7GktfCNt8S9NgQr5jza0ixtu/dyf6Mh5Iz1HTrz+BXB6HoPQelf4e/Sk4FoeHfjFxHl+AoRwuT55HD8U5PRhFQp0cLnEqrxdCjCNoU6GGzihmeGw9OHuww1KlFJWsv2HhvGfXsqw9Sb5q1Byw1WT1blS5eSTb1cpUnTk29XJt9WybevTBOPUHg89ueMdBnn680zex9QOmAGxjv2HbjkfiaiJA6ex4x1xx/COmfbB54PNMJ/wD14Y/oBz+dfzjLERX9X1dm/wA/XvY99JvZPz28vkr632123uS5GeeMgZ+9z+g468kk/wAqYXHYfqeMc+uB165HGcYzUeT3GfbBx+W31+p/DNISBnPHXjJz0xzlfTBGe/euWeIb2d/PXy8/NdvmaKne1327P9bJ/wDDji/Hp+fsDng4OcZPIJpMjvg4GOSen/fPU5GaiaVRkAfUD9eMY7DGOSRxjrULSMTx2xk8jvk47HnP06eormlXfXRfdfb5vrpr09C1GK6fO/mvLy+/bzslwM+nX24+q9env6VE0wH3evT+E+2eB6n25ODiq7biev059yTnj8AB/U0HA9sdDz/tdcg89Tnvnv35p10t3fy+7ZPbfy8txj2kOewGen4D246+nfHfhh9+c49cckDrjGPy7Hqc1EXAPAJ9No6D8vUEEH6euULHjp7Y+mR6nOAPz4zXLPE+dr7Wfpb0873t5FKLurr5PS/fzH5APPt2HPfnj+Lj6E9eAKbuHQDkYySAe309x1J/nTCT6cd8c+oI5GAPXpjn1ppYc5PIz6ZCnGcEHGR65rlliH339fLvpZtrpp8h8qvprtovle7v8t9O+lh5Of8A63GBkHqPY/l3xzSZHv1xwevA/DGOpzx16moWkGTgAfUZxxx/DyD/AC6VGWJI7fmBjpnp3yOfxwOtc0q0urt6vyVne2729fIvl0WiVrPu+nXvpbrcsFwMd8ZHGTzxgnpx1z1x61E0mTkAgnrnOTj0IH4fUcioSR3yT6gHkY9cZ/P/APWwuBwP1Bz1z6Dt7j8uBzTrxXbytf5rv2u0vnZjUVfRa7f0tunT5E2cj5sevJIPXr05/An86oXS5XzBk7ThuDyCTz6cHqfc57VKz9/THUdMH265OPT6VGzlhjBIPByOMHOeBj1PQ8+2BnixE1WpTpyslJaN9JKzT6u/Mtbb7dbGkFJSTsklbTq0uW6aV7b9bLQ4bXbfJS6UHtFL1ySOUPGM9wOMDC9jmuXmXIOOo5GD27jP04yRz+NegX0IeOa3IPK8HGcMDuRifQHHf164NcKykZGDlSQQeuBjr9OOB0HXHU/l2ZQ+r49zSsq13Ja6VI2jUTs9b6S83KT7n0OBq3jyt3cWml3WmnfVXXojBmTOR2Ix69emPzxxzn06jBu48g8HgkEeo6c+vH8vpXUzxgE+nX8D+HY9PSsa5Tk988e3cepxyBnOSePx+kyXFuMoJPay/K23dWvv+B9Hg6tpK3l936d9l117/F/7X3wo/wCFp/BnxJYWdt5/iLwyp8W+Giibp5L/AEeCZ7qxhCje76rpMl9YxQ7lR7yW0kfPkrj8ivgr4ueCW3heUq0bqrZOCSMdjzyOfQZr+h2+hyTkdcgg456kZ9eM8duAa/nv+OPgd/gn+0F4n0G1iNroGsXa+JvDYUFIV0bXJJLiO2gU9IdMvlvtIXOSRp4OTnNf7K/s9PE94rBcS+FuYYjmdBf61cOxnK9qcnh8FnuDpuT0jGpLLsdRoQ3lVzKu4q05P8l8Z8iUoZZxLQjdu2V5g0tXJRnWwVaVlq3FYijOb2UcNC/wo/Xj4HeMj/of73j93/Fz26+n+enb9jvgd4xP+h/vf+effp06DPGD3OK/nH+Bvi8n7H+9/wCeff6D16+559BX7IfA3xd/x5/vf+eff6e/PXvk+1f6bn4EftbZ3CXdrBcqciSNWBB4yeT/AAnHOcevpirA7Yz+BPH/AI729s15x8NtbTU9IjjLBmRFZckdMAHjk+nr3r0rA9O/ofc/3fp36fjkAaBx0Pf19ueFPuPz9aB9DgHvzjGc5+UjHt1B57mn4AH3f55/kSOe340gA5+Udux9+fujHQ9OpoAYcZ6HnkHP+K/4/WinkD+7/wChf0H5e3TiigBwPGcHoP1JwOcc/wCI5xRnoe2T+WCe/wCvoeKjGeeR1HcdsnqT6/X+YoJPtzxnI9+27Azn6DtQBIM5x6dOc+nXvnnj15+tcx4t1Iabo9zITtZ1ZQehxgkkc8ccEn8K6IZB6jnvlT3HJ5/z2rwf4x6+LOykgDgFImDDP8RGTwPXgZ7gfkAfAvx08V4+2fvf+en8X1x/+r8TXwz4SibVNZ1jXZcsqOdOtCeehWe7YZySD/oyBgM/LIozkgeqfHTxQc3gEhJO8AZ5JJIxjqST+J6fTmfCWlnTdH0+zdcTCITXXHW6uGNxc5PfEsjxqTzsCjgDFfxT9OrxCfCXhDDhnCV/ZZlx7mcMulGMuWp/YeVOlmOb1KbWtp1/7KwFWKVp4fH1oydm0/1nwfydY/iSrmlWPNQyPCyrxbV4vGYrmw+Fi1tdU/rVeD1calCDS0uu2sosAHHbP4ntj24BH0+tdFbphQe/XHfnp+HX3z29cu1j4A9eSeCPU+n+fxrdhXoMZxyAcEdsDPTnqK/wVz3Gc0p+9fd9vJX3t30avf0P6Ex1Vty1vut766fhfo35l+BQFz1yNv4dz6j39/zq8o7kAEYx/wDq9eec9cD0qBFCrt9B+GT+Xc9ex69DVtFxjsMHp1yB275+vUdc1+dYypeT/ra343667s8CrK706/povvPpn4BaKLeHXfFEyZYbNHsCRzkCO7viuexY2KBl6BZF5JIr3VmdiSSSW5JzgjOCR06k/r6da5fwZpg0Dwb4e0xkC3DWKaheqQAwudQLXbpJkjLQmbyec4WJRngVulzxgADnv7nkZJx05P4fX/UTw0yJcIeHvCfD/s1TxNHK6WY5mmrT/tXOLZljo1HpzTw0sTHBJvVU8NCK0SR+P5piHjMxxeIunGVV06fb2NG1Kna9tJKLm+l5t+tjIHUsOe+Dxke+cfT364qNpAP6HA6HrjgZznJ9uoGeYTngMPfk8Hkepx0zxnv0FNLKOmCce/GAAecgZB/n1r66dfXWXy3tt2bb23v2Rw/1pqSM5PfA9sA4IX/P4fjTSRjknoDyRj8Tjr24B+vXEW88YBHPGMZ/h6nIxkH8zUZkX1JOegz179GOO+OBjgfXnliLdbW8/TS3y6vrqWoN76ef3eZLuA6HPJHXAOOf1wOc+lML554Ud8cf3uOn057VXaQjjO3nPUHH59CMdCcjFMaQHPPU/wB4fyzjn889T3rkniOzut97R6dFp919i1FLfX1+Xnbp2v5k7OOTjnGM9jkeuAM4P5ds1GXJ+mOg9SByeO355HNQ7icgsAOcc59R68djxTB9T6ZzjGOcDrnHI4HfgVyzr33f3O347dOm5SV9F5eXa3y28uhKX9j0HXJ9Pb3yR7EdDTCx9MnjjPPTpjHb29vpTCwB4O7oCMnjn1yDwe+O/TtTC+c8YPPcc8d8nPtj+ua5Z4iPe9rdWu13vdr9L9i1BvfTt1fz/wCHuS5wckDk55647cdR0Htnv3phYDsSSD9OOeg/T3Pc4NRFz7D16HH055/LFMMvB6d+nU/Tn/OPSuSeJ87f8N6/hd+hahGPRPS34Lv6ee3axIzMM46d8fU9R/Lt254ppY9if0P64H+Rxx0iLkk5JHbqMdTnqckHuB6daiMgAOTntg4yO3Bz+eR6njmuSWIbWm2jvolrpdt/5eSNFFvZbW32/q2vp8iwztx1P6c5H59eP/11GXPJzxjrgjjjHfnjp07Hgc1WaXrj5R16/TPH9eecccjEfmE5zz65IHcc464xz2/MmuWdd6a27+a3sm3fy26lKC6t/Lp89Syzj6nAPY5wOT09Mnkn8Mioml9B+AHcDg8cZ5zgioeTnPT2wOg5zg/UHr65pvA68flnv0xzxxyeuO3Nc08Qk3q/V302tq9fy69y1bS1tvK/Tr5ddx5Yn6c4zk+uRjPt6k9Pwbnrk5POA2B0yOO3f2yQfemGRRx6569xyRzn39unU9meYecgjJPQj3yOo754/wAa5Z4l3sv6fb8+/dFqDe/uru+2l+n9d7n+VP8A8HE/xYm+LH/BXf8AarlW6NxpPw7vvAPwn0OMuXWyg8D/AA68L2evWqc4VT40uPFN0UAGx7p1I3hifxIr7c/4KX+JZvGH/BRX9u7xHNIZRqX7X/7RzWzMSxXT7b4ueLbLTIsnqINOtrWFegxGMADAHxHX+4HAOXwyngXg3LKcVGOA4WyDCW7yoZVhac5PvKc1Kc3vKUm3qz8exs3VxmKqN3c8RWlf1qSa+5aIKKKK+tOYK/en/g2s+Nc/we/4K1fAvSZLs2mifG7wz8S/gt4gbzCiTRa34RvfF/hq2dcgSG58eeCPCUCKejyq4yVCn8Fq+y/+CdPjib4a/t+/sUeOopjAnhr9qr4B398wbZ5mkf8AC0PDEGtWzN/DHd6RNe2sp/55zPXxniLlEM/4B40yacFP+0uFs9wtNNX5a9TLcT9WqR/v0sQqVWD6ThF9DrwFX2ONwlX/AJ94mhJ+cVUjzJ+TjdPybP8AY2JHPXGOnTB/DA9cZwOefdjMOhOMdeOexzkc/if8c19xPcAepOTj29O4Of1pMZ6nOSe/uOPyBzge1f4OTru1m7W0du+nXRf5ep+z2S0v20jr29F8vTexI0o/hyeOeT7Y5zj0yc55+tMJJJBIHUnHP554+v8ASkLKMgj09O2MDj34wc/lxUZkHRVXPuR/iDx3rnlXXd+u9turdu6+4uKfRW033/l/4PZX8x+3n73PTkc9OevbHemllGSWz29OoPXg9s4/LFQszcE9MHuMc+gz2z9O+BzTCw9sdOw9cEj1H58VyzxHn+Xl5f8ApK9SuRddb77eW1rP5X7+ZP5noefU88DI55A4z+PXkkVEXPr/ACySD7Z69T9PQ4qFn2nnC9h1xnp178ZJH69hEZegHP1OB75IPTuMe3euWeIffbq+vortvr2+Y0r7K+z2Xl8rLTUss/r6dxnptz/j9M5qJpAO46fiOuCPXp06n88V9zMe/UevA9M547//AKujTgcsTnjuOvHv9cf/AFueWde71fyfy3Su/S7K5G3ul5aeXb/NeZK0p7e+D0z+HcDGP0+v+eV/wdqfGq48Z/ty/Bf4LW12ZtG+CvwBs9YuLXflbPxl8VvFWs6lrYEQJVDceE/C3w/lLkK8g2hhsjjZv9C7fg5HJ9SR7+p47ev5ZFf5XH/BwF43m8ef8Fdf2w795jLb6D4l8AeCbKPduS2h8F/CTwF4duoYx0VW1Sw1C5kUY/f3EzEZY1/YX0Hcpp5p4zYnMKsVL/V7g7OcxoTa+DF4vFZZk0baXTlhMyxqvpopLZny/GNT2OUxppu+IxVKnLzjCM6z07c9OD9bfL8bqKKK/wBej8tCiiigD7c/4Jq/FWf4J/8ABQL9jX4mR3JtLbw5+0d8J4tanDmMjwvr/i/TPDXi2MsCMLP4Y1jV4GBO1llKt8pNf6+Ock8jHbBx+JOPccdPqRX+KT4f1i58Pa9omv2TtHeaHq+m6xaOh2ulzpl5DewOrcYZZYEKnPBANf7UdjqMd9YWV9DgxXlpb3cbAkZjuYo5l646q69cH69/8uv2h+XU8PnPhhncYpVcflfE+VVZqybp5Ti8mxdCLlvZSzrEOKel5TstWfpHAdRSpZjReqhUw9VL/r7GrCXl/wAuo307GlkDndgZ5xj147EnjPXqe/NNaQLnk57dMEc+wx/nNVS5PBPtjK/yB9aaXHX39jyc89e/Pf8AmK/zanWtvK/5aW8tenf8z9Bvta2nkv8AL+tu5M0pIPoeD+HTGcY/qT+NRFieSc/jx17E4H6jpwOtNL47j8gf5N3qMuTnAyR05PHHH8Xtnnqe+ORzTxC2Wn57rf8AG60Y1G/p5fL/AD/BkhIxwRz3JHOMdcg+vfmmkj6/l+Gcr/8Aq5/GMt6nge49h9eMYPTHv2aW49+p6f1AzjuRnGOc81yTxPN1fRtbt2SdtN/622dci673t33a8l6N7Xt6Dy5PAXHuQCfzBA7nHA579TTCST1xwcnt2yeufXnGe3B5EZkAPrz6gY6ehHPTkk4xnimF2OcD6nI9O/XrjnPv0zXNKtJvb8Vpt0230u0l1TdykrbLTTV7vy7ra+vXoSk4AyQAeB15GPTOM4OeD1HU84aX4yMn+R9OuenXkkA5NQk7R8x5OODj9MjAP5559jTPM4wACRznKge/Tp25/wD11zzrLS8m+mr0ezflrazV3p8x2XXX187aW0XRfMmyzDAyBj9fUcjj8D347U0kA88+ox+PJPXHQH0JquznnJ5z6g4wB7c5+vGBTGfJ4JYjA6DjPfPHp1wD64xXNLEO2m22vRadX6Lp/wAGrN9LLv6W2W7+S6aE5kwTgevPQ889CevA9+cnnBMbSc5yCffjPYcbhk+vHPXHAqHLHPY9c5B+ufxyM9Ovpy3vzg8Z5OQOnYsevT0zjHrXNKuusvPTbZdeu/Rv8C1C2+vpovu1b+9foSFyc4JPHQHjp0OT7c555+tNwxxk4x6cf1/x7e4DC6j0ODxjgYI57+/PGD9SKjMhPQqvHr6ZA5znp1weM9Dk1zyrPpZed79urS6ejT08y0krfpdX23s7tadWyfCqOo6cZ5Izx09O+OnWmlx2/P8AT8f06VWJOeQOnqT17Y3D9AccexoJAxnaCe2OfyyR0wcHjP51zTqrrLmfrbtdX/yvsVfsktui6f1+m1itfA/LJx/cb156DnjHb1PFcRqMQS5cgALIN4z2yDuHTI+bJPQgY+td3KFdGQAcqRn3PK8c9O2c8ZNchqaB0V+NynafYMB1HPRgMeua+Q4ggpNVV3VRNX0cOWM0vWDUntdr7+3Byamvut3WjT131XS1lt2OanXKnvg4/wCAn6DjkevHPPOKxrhMqR3Htjp6n6dB9ea6B1yCM5BBB44//WOuOMdM8VlTpg8++cAdVJHHbJAIHvz71x5ZX5ZQ1etrb9LPytb03ta59Fh52ktbbW9P6uvmkjlLyPcpIHX+fb9cZ9uOlfl9/wAFGPhwdS8F+F/ihYQf6d4M1UaPq8sakMdB1+RFtZp35LR2Gtw2sEK8BX1qdiTX6n3UWQy46ZI78/y64J9u4zivHvir4ItPiH4D8YeCL0IsPiXQdR0tJXXcLW7ngc2F6oAJ32F+tveRkA4kt0ODjFf1d9HnxFqeHPiXwbxaqs4YXLM3w8M1jByvUyXHJ4DOafJrzSllmJxTpJxaVaNKaXNCLXZnmVx4h4dzXKJJOpi8JP6s5fYxlHlr4SbbasliKdLmateHNG9mz8XfgZ4sINmDLggoCMnqMZH+efUEc1+yfwM8WH/Q/wB7/wA8+/098c9R2PbBr+fb4c3t74a8R3eiahG9re6bfz2V1bSfK8F1aTvb3MDgE/PFPG6NzwwPav10+Bfin/jz/ef88+/rj8s9/Q88V/0eU6kKsIVac41KdSEalOpCSlCcJpShOEotxlGUWpRkm00002mfxZKMoycZJxlFuMoyTUoyTs009U09Gnqnoz+ij4HeKQ62qtJ8rKoILcYYY5z6j8ex619hhwwBHOcHj0OOenT3H5jNflb8C/FHFn+8z9z+Lr09/Tn65OK/TnQ7z7fplrOrAnywrcjqBj9QR9M+9WI28jn6n17Y/rgYGc5+tAIPTgdMY6Hk/wCe2e9Rc4xnjnuMds859+39ThecHJHPuP8AHgd/r25NAD9wBIJ/z+X+P9AVG3P5nv8AkOp4/wASO1FAEgA56+4z06nJwe/H+c0mAeuR9TnrnP8AF0H4dO/NKMe/Y9T79Dnv/hRxwDnn/aJ/rn8cYoAildY4pJC3CIznnsBn1PHXr649DXwf8dvEpH23En/PTvx1b8hnFfanii9Wx0e6l3YLRlRknoQSep44BHr+tflf8dvEWPtnz/8APTv7n1/4FQB8K+L7k+IfGmm6bnzIfthurleq+RZg3DK467ZWjWE+pkAyOo9VsYun4Dj0GCeOg7f45ryHwch1LxFrusPkrb+Vp0DcEFpGFxdDJzyoS04GeHOcAjPtljHgLx7+nJORx2x0J/LvX+KH0/OOnn3i3LhyhWcsFwTkmByrkjK9L+08xhHOcxrRd7e09njMBgqyVuWeX8sleMrf1N4UZYsu4QWNnG1bOcZXxbbVpLDYeSwmHhLry81GtWh15a91pJG1bJz044GRwfQn/PpW1bryM9Bk9uMdPw7j9OlZtuuFHr74zntz6YPHb8hW1AvyjAPOAPw9Mk9+vTJH5f5n5tX5py829/kl9/8AwXuz6nFTu3/nrtv873+RZQcgevoc9TzxnGDjGDnB4OOK6bwvpY1rxDoulbSyX2pWkMwz0t2mQ3LYBJwkAlfpnA61zyA+mCDjnP1JG3pnnpn8hx618HrTz/FwvGAxpWl392pOcCWZY9NjxkfeH255FB5/dlhyuRjwXlMOIeNeGMmqxU8PmGeZdRxkXr/sMcTTq45268uEhXlZ78ttD57Mq7oYPF14u0qdCo4a/b5XGnr5zcfLU+rZpVeWRgRjOxAOgRRtTGCABheg9wAOagMnt7feB4PX+I/qPTpxVYyDnGeMd8DOB7+o4wOPpiomc92Hr6Z9ck8/lxX+olbFupOdRyvKcnJ20V5Ppa3yWluh+SqCWl7pWXbt2fy/QsmQA8np05x+fODz35HHTniIykgY/Mn39Mk/5yO9QFvQqOucH2Pqfw9KaSf7/P0Gc55zn6jv0z6ZriliLrdRXzt062s/x8rFpLZLp29Fr9637khfvknHPYdceh9+ue/5s3nJ445755we2eePf15NMLY6kj/K9ecdjxnvzTC4JznoeMkH0/D9K5Z4hK+t30122/4Oyt92uihJ20sv+G/z6+RJuwM4PXj5s/nz7H2+vdpbHfHsDkZA9SfzAyMetMLA8lh3zz/LB/pn6GoywHAz6ZznPDe/4/5Fcs8T529b9ut77X8lvYpQS319dvuJTIM8ZHHPzZ6e5P5Y9Tz1w0v/AJyD9P4ufp/KoPMPQZ5HIJHII7f5OOeetNLdcnp1HIIwPUHp364A/CuSeJu99fm+1vK6ut2/wNEukV/X3L+urJjIO3OOSM+hz6np3/l2qMyH1x6fMMjOPU9PbPp65quZR2J6YHUYOc8jP4dTxURmPZunp2zx1JIH5+/05Z12+ttVv8trPl/q1tS1Du/kvl/X3FreAMk8+56nnqOn6e+TziIzADjI9ck9wfXpg+/cdcVWL54zzgn1x37kDtnpz61Hkk9ycEdewHt+fv8AqeWdddWm/wAdOq/G1l5FKKXT7/l+v4+RO0pOQDnnOBnt656c9yOvtTMk85A9u+Md+e2Qcgjj61GHweSccnA6nnP9ecDkcYpCzep568kAD144/lXLUxKXXs+76fk7X208rMtRlLZXStd/dvpb9e3lJwO4/E854BPX0GMcdCOlIXCj1xjt9BgcnPP8+uBzAW65IPsSAcjA65P5E+3rTTIMkD2HJ5yenqO3Tr3yM1yTxDa3+9+mjbevZPXuNRit3fslbpb0/TyfQlLk5wSBjqCT/X0wfp2phcdznPr6e/X69PbAqAuxGd2OmO+P164Bzxz0HJphIPJPPp79x3wO2COcdcVzTrd3da9bqzt1dt/v1toWk/sx5fN79P66omMp5Ax+nHOOcn8+OKjLE9MADkjP58k9MdxntURc4HBwNw5P+9j9OPcEe4prSAcE9zxn3Prj8fr+Ncs8Slp6aW9NW/Jd13te41C71vJ9tUtbdnp96R/jW/t3W8tp+3B+2VazhhPbftWftD28wfAcSw/F3xfHIGCqihg6kNhVGc4VRwPlOv0W/wCCu3gqXwB/wU//AG89AmiMP2r9qP4u+LoYyuwLZ/ELxZf+P7AovQRPZeJrd4gvy+UybflxX501/vRwjioY3hPhjG02pU8Xw9kuKptbOGIy3DVYNeTjNNeR+MYqLhisTB7wr1ov1jUkn+KCiiivoTAK9U+BV5Lp3xv+DmoQEiex+Kvw9vISp2sJbXxdpE8ZVgCVIdBg4ODzivK697/ZU8PTeLv2of2bvCluhluPE/x7+D3h6CNQS0k2tfEPw7psSKByS73KqAOSTXn5tUp0sqzOrVt7Knl+NqVL7ezhhqkp38uVO5pSTdWklu6kEvVyVvxP9ncvg8Bj0wSSOnrkj16cfzFRly3cgDqOOnHXLZHX65+lQlxxzj069umeeMfh3qJpMHn+fXkd+gz7nHJz0r/ngniPP0vp+enTt/mfuaS6LXbz7f0kTlh6n0I5A7cdT1985z071GZAB1II7g5I65PUj6/y9a5kJ6cYHGSODwOM/mMn369Wkljy3HqSDyMcYB59eelcs8Rpdv5a+XX/ACX4FqDfku/3ff8Ah2JWlGeM/ge3P4ZP4kUwux7AZzznPuO+AB/nOKjJAOSd3XPGB0wefoPp700u3ptH17AZ4GeD9Og/Guedfz/TbbzdvKxaglvr/S/r5j89Ceg/2sntnHzfj7Z+lNMi8YyTyByePT+Lp2PTP51Fnjk569CPQfU9fT69OKbkDuR0wODn2Ax6nk+hOevPNOv5/c2m/wA399i0u33IkLseh4zyCR078luQe2fXr3LCQcZJIxjqM/kG/mDjAzmmFj0wB0HPXqB/QemM96Yeec8cHnGOSD0BHb1/DrmuWeJ80vO+/wCPn3to+pSg35ev+RKXC9yeueTn25BI/Mc4/L/JL/4K/wB1Nef8FQv27Zp2LOn7SvxMtVJOSIbHXJrK3X/gEFvGg7ALgcV/rXE4BJYjHvz3zwGPTI6+lf5Ov/Banw9L4Z/4KqftxabLGY2ufjhrHiFVYbSYvF2l6R4rgkx6Swa1HKp7hwcnOa/vH9n5iKcvEbjei2vay4KjVgr6+zp57lkKjXkpVaV7dWr6nxfHMOXL8FK9/wDbGn21o1GvyfXSzPy9ooor/WM/MQooooAK/wBpnwdBLZeEPClpcArPa+G9DtplPVZYNLt4pARnOQ6kHP6Ecf41vwd8HT/ET4ufCz4f2sbTXPjr4j+B/B1vCil3ln8T+JtL0SGNVHLM8l8qhRyxIHev9m1AEVURcKiqqgE8BcAAA46Be+Oh/H/L39o9j6canhFgYyXtYQ44xdSN/ejTqy4To0XZatTlRxC23hpsz9H4Ap3WaVG7RvgoJ92linJX6WTj338iUyKc4Oeeufcjv2wRyMe+RxTS5OeT3yM5HTIH3v056Hngmoi2ByehyfT1AA9BgdD3OM5FNaUdBk/Q9Tn6D+WOc9a/y8dZu9u6Wunbp819x+jpWe10ur+X46dFbazWpKTjPqeCR07gHOeOcd+OnbhpcDv1J6kn3HcAe4/A88VXLuepOOM/056/r34puSO5+gz/AJ9D7jPpXPOta/vbu9u+zWi+6ztv02TttfS3bRdP69CbeW6AYHHJ+vQE/l0PboDTD2yfwz0OcHABGcY478nnIxUW8569RznOcc+3BHX6ZPA5qNpPUkfj2OcdMZ47eo+oPPKuteVf1ZdU/Kz39EOMekVt8vxe5OXA+6M544OMHuCMjn0wc+nSozKTkdMfU56D1/r+earlyehz0xnkexxzx29jgHvhCCeSxz1PXue3Qk+xyT7ZrkniF1l92vbqlZbrt95fJ3/D5dWu19l87khkwMZ6deeTz7n6cf44phZmJIGOvXrx0H49Pz6cU3coHBGPo3XPHfv+p+tMMp5wDjrnBH8z/jx171hKs3rFerer6fJb+f4o0UUun+fTq0/wstdmt5cD+I85zycdz0AP5H/9QQlR39cgZxj8wB7/AJ8VAXLDqecdPxycdeO+PwPWmZOerDqOfXnHJI7c9evTtjmlWet5Pz/W3RedrFadl+vR9GtHf1Wq6Exc9gQPXOcj8T75zgVGzE9OcZ53f4N0+vr2ppIBIBbt0OB0x1/Dt17jGMtLkDv2HH8ySePzA/M1hOstba+f/B2/MaV9Er+evlvqkt9f6ZJ0+98vf7x6fn/j0PTim7x2yeBzkgZ9evfIwOPaoC4Azknnn168dck5/XPOOKj8zOcEk9Rzx9CCR7dscn8Oadfd3/r1fntYtRfV27JdNu97bLb77E5kP9OoHt0Jyfcn69KYXA4/LPPb13e/UdOlRE8NknBPI7dOT/nPI454pjMo9fY5JGT688f5/HnlWvtf+kt2/wBNUNRS2+/f/gD/ADOvXB9W/wDsu3HU9+RWFfxHdIpz+8QuP94cjjOD8wzxyOB0rWMmcBQTkEHnt75yR9T69azr7IRJG6Btp6kgNwCe3DBVH+9XlZnJVMLUvq4Wl1fu/DJN3s/dbb6aeRrTbU0lu7JPs9Gvv6HKMOvXkZHPcdeCfTH4dKzrhRkkdxu69wSCP8//AF615QFcjnCkgdcck44+hwPr71RmXg45Knt6NweB/L29sV85gqrjJeqt5tWtr06L5/d7lGW39b6q/wA+zX+fO3C+3Tjr2/xP/wCoCuZvo+vHr+uf5EY47E4rr7heCOMjPJwRxjnHIz9Px9udvY9wJ9R/9defqM9MfTv+n8PYpxnDXZx1etr2bfbysfSYCok46tJNdfNd+rX3et2fz6/td+Dz8Nv2k9fvLeLyNM8ZCz8Z2W0EKz6yZIdYO4YUu3iCy1OcqBuVJo93VWb6H+BXib/jzIk5+Tv7D+orsP8AgpL4IF34U8B/EK3i/f8Ah/W7vw3qEiD5/sGu2xvbKSZv+eVpfaTJFGcjbNqZGCZOPk74FeIyptFL4IKAjP1r/oz+jBxq+OvA/gTNK1X2uPy3LFw3mTcuap9a4em8spVK0rtyrYvAUcFjpyfvSeK5patn8peImUrJ+L84oQjy0MVXWZYeytF08fFYiagukKdedajFLRKnZaH9DvwJ8TZ+xfvP+eff3GO/v+dfsF8K9XF/pKQl8nYjDnJ4VQe/cHmv5/vgT4j/AOPL9508sdeeD/Ugf0r9nvgXr4dLVC+QyqpyexAHt7Y+ua/fj4k+vABjPP1z249Djjv9PpShRznd07n6+h/z+dKDx3/Hnrj3PH/16Bjnn8+35/Q+mMdOtADSFPUkdep/xz2xjv60U7A9/Xq3f8aKAGDIGNvHHb6nGCeeenr6gkUnPocY6ck8g9c456844z34FO2n0Hb09/8AY/TqPxpMeoHr0HTn/Y/z+IoA8k+KuqCz0gxBtpMbsee5zj+Xtzj3Nfjv8d9fP+m/P/z06n68d8/4ZPcV+nPxz1kRR3MYfhEZBz/dBH9P8jk/jJ8b9VlurmW1hbdLczCCIZOWkmkEaD15dgOMn26LWdWrToUqlatONOlRpzq1ak2owp06cXOc5SeijGKcpN6JJsqMZTlGEE5SnJRjFK7lKTskl1bbSS7ifDuyMHh61nYES6lLPqMhP8QupCIG9cG0S3OcduOMV63aJ8o4zk9vyP8AIYx14x1rldGtI7O2tbSIYjtbeGCMHskEaxJkc/wgH04612lqnKD0H5eh9Mf54Nf8zfi/xZW4w414t4oqyk58QZ/m+bxjO96dLHY6rXoUVe7jChRqUqMI/ZhTjFW5T+3cNg4ZTlOXZXC3LgMBhMJdbSnQoU4Tntq5zi5yl9qTbe7NWAYx0wOfbAwOfx579K141KhQOoAB9Mnrn6n8fTms+BckfUZx7ck9uufb19q00GfTJPI65H1x/ngccZ/nPMal5S1dv0SSe/dt/wBWZ41eWrd+7+ei+Su35XLCAgA4PT0GTjj6g5I/X0r3v4MWxCa/fFT87WFnG2DkhBPPOpJA4y9uef7uT2rwYD29evGOn+zznA5P9K+nvhZafZPCcUxBB1C9u7rpg7EZbRM4Gcf6KWA4GG96/R/ATA/XPEjAYnlco5Rl+aZhLT3Vz4b+zYN7aqrmMXHW/Mk18J8pxFU5MtnBb1qlKknr0mqr2T3VJp/5XPTCc8nd2B6+p/w5IzxjFM4BHH59snI4Bzx+fY9Rhm9jwDwOOOox/wAB9O368io84xlu5x9eeh2nPH9fav7tnibdfxv0X+b6XWzXU+AVPu/l32/r9ehNuHTAOPp6dwBnp79fwppY/wD1h065OAOvGT3NQM57Z/LPbsQo/p1Oe+Yy5JwQeTxwc8Y74JI9R+Wa5J4nz1/zs9m9d/TW2tzRJdF+HTTqtf63ZOzAZ9cjqD0+U8+3HPfGOwqLd12+mM8YJPOMk/njtUJdR1JPofoR7Hp9B3J64EZk+mSeM49T2xk/QZ6gHsK5pYh306fL5afhq13auWovq+Vaf8Dr/TLBYZGTgnjgqOTyeMnGMH6dqjLqM9M9x26HODwfbGcD6kVWaQtnryfQ4H0AB757j6DNMJY8EHvgjIxwcA8Z68/l2rllWtd8zfktvu18rK++3YtRS6X0W/8Al3e/4aE7SZ4z6cDGR74BwOAM5x1GahLnOMHnOCeTjr0B6+2TjPvTeAB2+o9ev8OMjpx178DFNLAZ/PsfXn7ucda5Z4lJWva7277dl5dnt83Si3tf5Ky6fd9/XXQfknsTxzkdcEZ4zjPX3qM8dfbjvjH44/H1HApu4k44HAz279OmDzgev6UwuM+vHI46d8cZP4//AKuSeJb1V9Fr96S8rOzfe3dF8qXxNLyW/wDX/DkmeeM8dyBz2xjJPt9OlNZhnk/gMfT07f0xjtUBcknAHHpkHjg9u316dKQsSeSAT1yCPxBIx+Y/OuWdfbXs7L5Pe9n816Ia/ux+cv6/L7tCUsBkD6n7uMD6dueucj8ajaQfQcjHYEe3YHOe5qIsBnA5XJ56c556dwB04HPHFML4POBz29PbA+vBPUVyzxKXX9X0f6K+/wCZXLKXxNvTZdvu/QlJ9T05x3HQbeoz0yD2xnnNNLAjAB9emB27cj+R7HODms0g9AxxwOD6d9vrwee/HamFyemF6Y+U59M8fp2z25rmniH0/G77ff22Xz3LULa25fPruvn28iyXA6nGODxj+X0zz7Z7VCZAB8qnkHHGOoz69eP6Y9YuD15II6lu/wBVwM9AMc0HaOw6Z4JzyPp/PnvjJrllX3u3fp+nW7X6FJW2Te1m9Fuvv7/p1FZmIJ5HfGD/ALX/AOvpxkfWg8ZO3kdCQT0Pc9enIP4DpzE0g4wvr1BGM5PGB25x+famMxPU464Bzz+G3vke349OaWIs/TXd+Wll+re9+haT6u3ktummm+itrfR+R/mb/wDB0N8GZ/hj/wAFVfGnjZLQwaZ8fvhL8KfilZyxpttpLvSdCk+EmrRoygJ9p+2fDMX13GD5gbUYriQf6SrN/O1X9+P/AAdx/suXHjT9nb9n79rTQNOae++CHjrVfhj47uLaItJH4G+LENpc+H9W1GXbhbDQfG/hi00S0G5dt/8AEAKEbzmZP4Dq/wBqfoy8V0eLvBXgrExqqpiclwD4Xx0E+aVCvw/L6jhqc3d+9UyuGX4pK9+TEQvrc/I+IcM8Lm+Lja0as/rEH0ca655NelRzj6xYUUUV+9HihX6if8EVvhbN8X/+Cqf7D/haG3a5XRvjhoPxOuVCF447X4M2eo/F2aWb+FYlHgkKd5Cu7JF8zSKrfl3X9ZP/AAaV/s53HjX9rj44/tMalp7S6B8CvhNF4J0K7liIjTx/8YNUEMM9nKw2yzaf4I8I+MLS9iiJaGPxFYtMUW4hEv5T45cS0uEfCHxDzypUVKdHhfMsDg5t2/4Uc4ovJ8sS6t/X8fhvdWrV9VuvTybDyxWaYCildPE05zX/AE7pS9rU/wDKcJH+gkSxz156gAdPUev4ce+KMqvU5HOT0PUY5zkdPWo2LHn8+mMd+3XJ/HBOM8VGTgZIHJOSRj09VGM8j6nOa/wNnXt1+7Xt1/y+Z+2JJbW/q3/AuSluDgDt6HgAep6Dr+QzTDu98dCMD0x2POSeOeDURb0GenYAHOPbHXn6enNJljkYGOenY49cA4+nT8K5amJS6/f8t/8Ag2+aKUW9lv1+7UkJ2gYI7+ncDryff+XSmbsgccdcgD3/AOBH2/r1ppBH5EE+3J54Pt7Z4AqNnUenfsD2PXjPcH6fmeWeJb2b/rTv89X37q9qC6v+vX/hiUZ79Pb1+n/1+M49y04GOg5H6Y/2f6j+gr+b6AfkMEeoOO/0qIsx6+3Qntj2/Pp+nHNOs+skrei00tpd/wBJFpJbL+v6/wAyzvRRxkkEdgD17d+3r0/Comkz07dMdeDjtjIA7Ede3YwYz3JB5+vK8EYHXrkdOc9DRlR1IwPbngL7dcjvj9K5pYla2b10frZbrT7k9tXshjmYk8nA59fr6Y4x0JPGOCABX+aN/wAHNfwun+H3/BVr4jeJntjb2vxo+Ffwe+JtiQhWKdLHwonwpvJozgKxfU/hjfNMQSTMzs2GbFf6WW/AOB0B6jHGOecDn/63uT/GT/wdy/s6XOoeEv2Vf2r9JsGePw3rXiv4D+OL6OPey23iS3/4Tr4deayqGhtLS80L4iQvLJmE3WsWcKvHLKiTf1h9CTi6lw94+ZNgsTWjSocW5LnfDHPJqMFXq0qGc4KnK9vfr43JcPhaSSblWxFOOik7fM8YYSVfJK01G7wtajiLdbJulNryjCtKTfZPzP4faKKK/wBvj8dCiiigD9Sv+CKXwdm+N/8AwVI/Y18Ki0a6svDnxZsPixqxKboLfT/gzp2o/FMPdk/KsFxfeErHT13/ACy3N7b2/LTKD/qxlnPQemOP59B+hx0z3r+Fj/g0u/ZjuNb+LP7Rv7Xutacx0fwD4S074G+Bby4iLW9z4r8b3lh4t8bXFjJjCah4c8N+H/DVjcEsp+w+PGQBlkcr/dAZOnGfpgY9eg56Cv8AEn6ffG9HP/G2nw/hKsatDgjhrLMoxEYy54LNsxnWzzGtOLtzRwmYZbhq0U/cq4apTl78ZRj+wcEYOVDJ3XlH3sZiKlaOmvsqajRhfy5qdSSfVST2sP8Acnrzxgn16f0/SmlgMYHPY46/gT155H+BqEv22jP+6e/vg/XNMyxAzxz6EnA7Hg+2K/hmddt6tLy69L6fq79+p9moN2u7eS1a231ts77kpbqc9PXIGB6DPPXOMevHXMZkJyBk+30/Xj9T7004zkk/Ugdvqv1/Ifgwso7Z+gH4/wAP9Oe3pXLKuvN9r+dun/B6FKCXS/rq/K3Ra+T/ADH5bntx1w3444yO+fwx3NNGB+f+0M8Dpj3PX3z7VGWPpx7Lz25+79c/5FNznHX8uev+7jgen096wlWeqbt5aeXRLXra/e/Quy+drf07bfd695d5H8+px+JJPHPP045FNZmPHPp1x6Hr1I688nj15qMn1PA7cZ9sDbwPrj8KaXx2z7leT7ED/PSuaVZX7/i/w2+8a9L/AHt/hbbztuSYPoR1/iPHT2P4fjnrTCQOpb2w2f8APoM8+oHFRl/Y4HXjAGMnpgev61Gzj8D0xznuOMZ5x64x+VYSrvvv2d+3TRL5lqLe6S/Ht0bf9XuticuR0z685OOPU8Dv6VGXzyc8g4z/AC46fljnrUAdjjtxjkEjBxjtj2PTpnPq0sME5JHpjjrnqR/+rt2rmlXbe+3z+Xb7l0770opW76d9/wCtf+ASmQcAbupz1HQY685APB49CecmmE5BJJA/EEfj/wDW9qhMgXJAHXoe/HsPQ+/pkUwuxGADg9yM/l1wMenuAK551vP9Xt9y/Xcr8Nvu/wCG2JSUGTyTjk89PU856ce+O1MMo6DPtgn8uvsPp2HNRDngknp2z19yDz+HPGD6GV7Y/IY/ElQf88msJVl3f5vXyvb73qA4l29vXnr9R/MEfWmkADoTjHYgdeRnA9+o9Oe1R7hxhWP4ZH1Ax3/z7oWHoe/UYBHOex4HU9OPyrnnW8/8/u2RXK/Jeunb59unXTcfuxxz6YyfTk+x785HP0zBcqZIZE5JZGIOejLgqfzA57cZx1DsjsvfHQY56fwk9OcfzppIx7nGeg5zx2HXOBg98Vy1aqlGUHqpRcXd9JKz+9P57mkYuLve9mmlbs0/06dlfsc1KSxB7lcE47gcfmO2O3PrVN1BGOTle4HHBA6e34+9XpU2O44wrsM4HIycfw89u/1x2puAMjHQ8n364A7Y9B7V83h5OE7PeLcX01i9Len+Z6lJq6t2VuttE1+H6GNMOvA6Hr0zyO+eg/z3rBuk+VupwSR/M/4f/XrpZ15PHU59MhgPb1PI/keuHcryQeMjOP1P5/XP1r7vJK1pw1tbT/0l9dvLpv1se5gp+9H1Xm7P/gaL/gHyr+1L4LHjn4FfEzQkh866j8OXWuaciqDI2oeG3j8QWkURwcSXMmnLZg5AZbh43IR2FfhZ8INXNpqSQl8ASqw5I4Y5zjjvz+B7df6T9Tt45opoJo0khmjeKaN1DJIjgo6OpG1ldG2sDwVOMYNfzQX+iy/D34r+KvCcm5f+Ed8U61oaMxwZItM1O4traUEgblmt4kmRjncjq3AJr/aX9nRxbLE5Bx9wZWqu2Cx2VcTYCk5XbWYYeeV5pKK05VTll2Up20brK9nv+Q+NmXr2mQZxCN/a0MTltea6ewnHE4ZN9XL6xi35KPU/Z/4EeIP+PL5/7nf6e55/qB61+0XwI1/P2L95/wA8+/HGPxxz19Melfz5fAfXTmy+f/nn/T8Mf/W56Gv2l+A+uH/Qvn/559+vT/P+B4P+lZ+Dn7EWEwuLO3nBzviVuBkk7VB+mCOeeeR062xnkkHnHGPqcjjseR29ea5PwXeC90S2YEMUUAng8EDHY98+2PyHWbDjt178/wDsv0z6+2aAEJY9vXPyg898df8A9eaKUoT6f5+ij/PpRQA/rxn+XIOfbFRzMI4ncnhEds/KOgJ7j+X60oPvx8pPJ75OB1PoMex6day9auBBpd3JnBETAY6ZORjsec88Y+lAHwh8edZP+m/P/wA9O+O56+nXn9OMivyX8TynV/H+iWmdypqRvHz0C6ekl4MjnrJAijPGWHY4r9Fvjzq3/H783/PQ9c46/wAjwfbtX5w+HQdR+IOoXRG5bDTZsf7M11cwRoR/2yjuAOehPpivybx34hfC3g34lZ1Cfsq1DhHN8LhaidnTxua4aWU4Gon/ADQxmOoSiuskl1Pp+C8Csx4s4fwjXNCWaYWtVi1dSo4WaxVaL8pUqM030Tb6HuNinTv2/ADJz65BHbr7ZrqLZecjtgfrjP5HHtgn6YFivAx9fwBx+PHT/Oekt1woJxnJwR3HP+Ir/mr4ir3nU63bXa+z100dt0f19mE029e+m1tlr5LTyutzWtxyD6An/vrpjj0+nXj30VXoMfToOeQR29sfQc9KpwrhcjjoOuc4B6/ifzH0q6gGeO5xg+vfnnqeM/zHT8sxs23b+ruzeuvd/iux81We/wAkvlq/680TKAePXrnbjr6gdOo/MgDt9heHLb7DoGjWgXa0Om2vmAdPNeJZJeMf89nkPucnqM18kWNv9pu7W2Gcz3EUIOOQZJFjGO3JYY9evWvsYOiqFVQAqhVCjAAAAA9DgAfTtz0/oH6OOFSxXFOZte9Sw+WYCnJ9sTVxWIxCT30+q4ZtLV8yvofG8STclhaSejdSpL5KnGPro3+OpYLsScg/XHHbtx2HtzwfWmk9iefvY+vYZzgj6cdMjnNVpM5x6dBg+np3/p2yM0zLNyePr1689Rx7DH0Ir+o51+7St0vp0t5u23btpofKqCWrd/y1+/vuv0JzKPfBHOce30Hbj04xyTUXmE4wf0xn3I7ZB9x+lMxjJPzcd+OB0z2Pfk/40hdR+POBj29Ovuefc1yzxEUnqvm9OnXXpbd9E2Wl2Xb8bL1v627Cknvxn0xk8djkkEc57HtyRhAAMnd1HBOOM8jPcnnP8+1MLkk49fbjoffnp+p+sZbHDHPJ/X1H+OSev05J4m/Xom7Xs9tdn935plKDsm2o3te/or/03cmLL7/kPy6HjoOh6A9s1EXODxgcjkDpz9MdT6deMZxUTSAcAj8OCBj0OPz/ACGajaTI6/jz79uRn0yBx+nLKu+rXmt9HZ9O7vfttoUlHRRTlpp0XT10Xn3u2TE7eSfcenT16deDwDzkcHFMaQY4wT0Pv759ic9BgkD6w7gevB9OcHHOMdicc9R365w0yDPYZGM5PTjGO35dK5p4i27163+W+tvO+nl0tdpO12ku0f8AP/h0PLM3Q846de4HX8SeOBTdwycnsc5wffnoOM+nAA9aiaQDGWyMeoJPTt/Pp+dRGUkDaD9cfX6j8B+dcs8R0WvTX5eVt9t/XvSp9Uvm39z/AOCl6E7Sc847HI689sYIIx6846c9YzIoHOO4x1554PHI6dP/ANcJZjnduPJx1Hr6DI7DrjnpxSAqR0A9M4P8+36E571zTrN6t6adfT06bWXkXy+Tlt2S1Sfr18vkPMh5HAGcHoeuTzjvn398U0gHPzE9MgdOuOmD+A/XnNNLoB0B57dO+PU5/D1qMuecFQO2D6Y64A/nwa5Z11fd9N+u3q9PTXRW70lL/CtNF+Lvr8l8npvNlR/FwP8Ad+vYdD1yPxwaaXH8OO3Jx7dOPYY/LjjEBYfxYPPHfqR3Pc8joP5VGXA7AY/PIxz369ccdee5HNPEJN6/JL/gX9b2vq3oNQS/4Pqvu2/HqSmRmz8wH0B6DJ5+XnHr/kMLHPJByD0H6cgE/r+NQGTHdf8Ad5J5+n+cVEZScjGOuCTzj0IGBz+fTtiuWWIava2nTr93z7v8C0m9Ev60/wAvX5FlpPfOe4x7/wCPQ8HNQtKO3UenP8wOnOaiO7nJ4PQ9ARg479/fPv7sJAJPXAJAHHGT16dR059vXHNKv53+fp0Wn9X6FKnpq/lp+PTX+ux8/ftYfs7eDP2uf2bvjN+zZ8QY9vhb4w+A9a8IXV8IEuZ9D1O5iW68N+KbCCQrHJqfhLxLa6R4n0pZCI/7S0m0MgKBgf8AID+PfwQ+IX7Nnxn+JnwG+K2jyaF8QvhT4w1jwZ4n09hJ5DXuk3LRRalp00kcZvdF1qyNtrOg6lGgg1TRr+w1G2LW91Ezf7PZkY8AbeD2Pbvnrnk568nHOTX8wP8AwcFf8EW9T/bd8OR/tYfsyaDBc/tS/Dzw8ml+MfBVosNpP8ePAWjxySWNrZMxjgm+Jvg+AyQeG2uXjl8UaAR4VlupLrSvCltH/YP0QfHLAeHPE+N4Q4px0MFwnxfWoTpY/EVFHCZJxDSiqGHxeJm7Qw+CzLDuGCx2Jn7lCpQy+vWlRwtHFVY/LcU5NPH4anisLDnxOFUlKEdZVqErOUYrXmnTlecIp6qVRJSk4o/zpqK09a0XWfDer6p4f8RaTqeg6/oeoXmk61oetWF1per6RqunzyWt/pmqabfRQXun6hY3UUtteWd3BDc208ckM0aSIyjMr/XqMozjGcJRnCcVKE4tSjKMleMoyTalGSaaabTTunY/LWmm01ZrRp7p9mKqs7KiKWZiFVVBZmZjgKoGSSSQAACSTgV/qjf8ELv2HLz9hP8A4J9/DPwd4v0htK+MHxcnm+N/xhtbiDytQ0nxN410/Tl0LwherIvnW114L8E6f4b0DVbFneC38TweIri2KpeuW/l7/wCDer/gir4r+OnxF8F/tx/tQeDLvRP2f/h/qVl4q+C/grxPYSW1x8bfGumzJd6F4quNLvI1kk+Fvha9ih1eG7uYlsvG+t29hY2Y1Lw5a68lz/oElgAckYx0wCOpx0OOmP05r/Lb6cHjllud18F4TcL4+ljcNlGPjmXGOMwlWNTDyzXDxnSwGRRqwbhVll3ta2KzOMXOnSxzweHco4vA4mlD9I4OyWpSU8zxMHCVWHs8JCatL2UmpTrtP4eeyjTbs+XnlZxnFt2Segxz3B/w/Ln8qQkkY/mPcAcYA7+n61G0wXPTj+ZJPt9DxnP5VXaYknr1IwSBjpnBPrn2r/Oedd6bL7/LT5fP7j75RjG1le3dX2/D8iyTjOSOgPQd8HnK9+T+FRNKOg757AEY7529/wDPeoC+euTxnkjgY47+/fk5NIWx0xwD6fhwD26fyBrmnXS67ddrbb/PXps7dC99Nvv/AOD/AEyTexx17+359vpj6j1pgyRzz1649+R9e+feoy/vnH+zkjOevXt+fc00uevAB68EHnPt+H49R35Z4m3VLrp8tL993br5NDUfPstn1t3t0d/l21Ji2Ofy68/p6c/l2OTGZB2HcfQdAOw/TkcHoajz/nJ6dc4x9e3PHrw0sO7cdenT05yB35B9MdeTySxHXX/g+71enTrfS/TUpRj5t31snptv+PbqOLM3f6jg+noR/keuKac9zjnGSq+5Hc9PXp+tR+Zj7oPGOeSCcAfyPYdOh6Uwkk5OAD2PHXOR68fka53Wdr6K3nvaytd376eS89Ks+lkvTXz8unmS7gvJIz9AOh7H/wCsT2GDXxH/AMFGP2StL/bm/Yy+O/7Nd59jg1rxx4Qlu/AOq321IdC+Jfhi5h8S/D/VJplDS21inijS9Os9bkgInl0C91WzyY7mRG+1SUHOScepPXj/APX/AJGGNLxjoOeOQeM+3OT1zjn3rsyTiHMOG86yjiDKMTPC5tkeZYHN8txSbboY7LsTRxeFrWbvJQrUYycfhlG8Xo5EVqFPEUqtCrHnp1qc6VSL6wqRcJRXa8W1pqf4u3ivwt4i8DeKPEfgrxfo9/4d8WeENe1fwx4n0DVIGtdT0PxBoOoXGlazpGo2z/Pb32m6ja3NndQt80c8LoeRWBX9u3/BxJ/wRi8U+Pte1/8Ab8/ZQ8H3PiHX7mxS6/aU+FXhiwe51vVjplqkEXxj8I6NZxvPqt+unQRW3xF0fT4WvrhLO38Y29pdXD+K7uv4iiCCQQQQSCCMEEcEEHkEHqK/6IvBXxf4a8auBss4tyHEUI4uVGjh+IslVaM8Xw/ncaa+t5fiabftVRdRTq5dipxjHHYGVLEQSlKpTp/hGb5ViMoxlTC14y5buVCta0a9Fv3Zxe3Mk0qkb3hO8X0bStjw74e13xd4g0Lwp4Y0m/1/xL4n1jTPD3h7QtKtpb3VNa1zWr2DTdJ0nTbOBXmu7/Ub+5t7OztoVaWe4mjijUswByUR5HWONWd3ZUREUs7uxCqqqoJZmJAVQCSSABk1/b9/wb2/8EUvE/w11zw9+3l+134OufD/AIttbX7d+zn8IPE9i1vrXht9Qtmj/wCFueN9Gu41m0nXvsUzw+AfD+owx6hpH2ifxXqFpZ6rH4cksZ8a/GThfwS4IzHi3iHE0Z4z2Vahw7kftowx3EOcum/q2AwtPWr7CNSUKuY4yMJ08Bg1UrzUp+ypVXk+U4nOMZTwuHi1G6lXrNe5Qop+9OT25rXVOF71J2iurX9Dn/BL39i+x/YI/Yn+Df7PTR2T+NdP0iTxh8W9VszHLHrHxY8Y+XqvjCSO6iwl9ZaHM1r4Q0S9Ko9z4d8N6O0iiQMK/QIgHqc4ye2OfbnpjjNMMh7D8cj+uPz6frhhYkkHP6Y9PX6//rr/AJyuJeJs24rz/OuJs8xTxWb5/mmOzjMsRZx9rjcwxM8ViJQheXJTVSpKNKlF8lOkoU4pRhFL99w+HpYWhRw1GPLSw9OFKnB7KEIxitrXb5U27XbvJu7bJCyL159gAf5D8Px5qMvxwAPqp7dc8dvp9aaT0J4GfUc+mefx4yMU0sB0yfxI498//X4/KvnpVknvfum9Pu/4CN/68/kuopORzn16HGQPp0z6/wCGG9Ac4Hbpg84x1XkA+nP6U0yHGOxHbHOPcnJP0PNRmQDk9/cdee/+cjn2rCWIts7eT1s9L6avX/Iag3bTR9br+vy9bEu4egJ5xwAPy6n8T+vNNLYIHTORwMDntwOc+5qAv2GcgHPJ5/Puc9v0phb1zzzjIx9c5GSfY9OorlnX87+WnrstPy/ItQWl3r/X5f8AD9iUyAZweffb+Q/TrUbOfc8decD9O3fv9TmmM6gduvGcEZ/Ptz/TiozLk8Z/UY98jB469CK55Vn1enn126Lf8StttPl/X9ehICcZJPrgY4HuMd/X0xmml1B4xxnJwM9+McdOnXtUJZmxlsZz2bPH/wCrsenWmnHUZPTk9855/p2/GsJVu/4/Lor3W39ajvd/8C3/AAPuJC7N93I6jjAHt7YPfPPTmmnce+D1wM56egz+vc+9NLfXHTGSAPTvz0wRnv2600k4OMDjH4Zznnv/APq6Vzyr/LVW1trp0/4PmOz+Xo9NuvX7vvuOPHcc+oHqR6Efr9M0bj6/oP8APbH5VAc9ctnOOmPfH48YH/1qCc+vXnrxnPGM49scdPfjmnXXe+3+e2/9aXL5dlpr/dfl13t929tOkhJPGR3AAwOvGeM9+M8c5z2phx1yOvJxkew6c8fy981ESB39Pr79O2aaXHYc+/AP8/6ce/XCVVvyXnZL5/8AD77FJNbcq+T8vP19dO7JiRxz24yoPcdOPrjp0Gcc01nUe575C59f859qrFyR1B9APrj8s8AmoyzHJHA7cjPfnpnoD369DWEqm93t5pLp3281a/oUTtLnpgfXAP5dM/Xt36UxnH94nvj1/DOPw/GoevUj8+Txxnk49+gHSgkDpjvnr/X8/wASDx1wlW3+XkunXdf0gs3tf5fr27f8GxRuQDI3X5gpGMc8AcnnuvPTHGe1UXz3HJGOnT8AD17cA+/Oa0J8Er7jHt14/PPTvn0qlJj6AHt7HuOoyfTvzzya8pytXm0t5c3Xra/536HdS0Ub20avt0tv/T73M24XIz7YGM5455/E/wAqxLleM8gZPbrn159SP/rkGt+cZXPoeB7NwCfT25xWLcqSuTxx0+me4757dzX1eU1bThrpo+1tUuuj02+49fCzs15b2vfS23y3f+TOTvl655xx7DIOf1A57V/P/wDtseHf+EU/aW8Q30cfkweJbLw74ngAUBSbmwj0q9kVsAsZdS0m+lc/89HYZyOP6Cb5Thsenf1GG5/X9a/Gz/gpd4e+zeJPhh4rjTLaho+v+H7iUADaNGvrHUrONj/t/wBu3zRjn/VynA4z/pR9ALiV5V414LLHPlp8UcN57kzg3aLqYXD0c/pNpu3P/wAIk4we/wC8lBX52n834qYNYzgivXSTeW4/AY1O2sY1J/UJWfZ/Xby6PlTekUyh8B9aP+hfOf8Aln35PT+v+A4ya/af4Daz/wAeWH/55nr16e4+g/IcZz+AXwG1c5sgW/uDr9OPbOPwGK/an4Davn7F83/PM/hx6nv0Ht6V/t2fysfvL8I9Q+1aWIi/Plqw/DA6dO/4np0r2IAYwD+W36en+cV8vfAzU/Mht4y33owo78lfQ+meBX0+G49eR1PfnqT7AYz35HINAD8dcEj6AY/lzRUZc9Bxjjp/jRQAvzeh7ev/AMVz/npXIeN7n7PoVyckFlb17A/7R7/T8eK7Icd/5+/qT/n8K8t+Kd15OismcEo5PbjH1Pp/SgD8sPj1qf8Ax+fN3k7+v/66+MfhnH59/wCKdRPPmXtnZgnnP2WKeZwD/wBvak+vHtX0h8etRP8Apvzd5D1+uPzx+VfPvwnhxoNzdd77WtQnzjqEMNmCfUKbYj04PfNfyF9OHOHlfgDnOFU+X+3s/wCHMpetuZUsa87ce7/5E12luo9rn6h4Q4VV+M6FZq/1HL8wxV+3PSWCv5f75a/n3PbLNQFz3Cj/AOv/ADz+VdFbjhR16EevXnJP0z6Ht1rDtANvIx1A7cHp/Lj+tdBAOfUjnj6D64xk/Sv+fvP6rcp9dWuiX2V/WqP6Mx8tWr/8HRX1s+r2/LdasPRfck+vJPB6/nz+fe4nA5Pft0xnpyw45xyCMcjvVaPAABJGFHI47D+fp1z+dW16AnOQccZxz1xggj6+/Q9vzjGSvJ9e689F+Ttp06ngVXd/e/k7W/I6PwpEJ/EeiqcHGo2sh6HiGVJj3IxiM568cEEV9TFicZOePXpjp/GB1+n0r5p8Bpv8T6WTn5XuX75zHZXLDjJ7gYz9Rg19JEnnJOOPXt69c/lx+tf1B4AJUeGs6rrSVbPpUeqbWHy7AzSv2viZW829H0+K4g97FUo9I0U9e7qSXm9XBfcuo8tjnPH1Pt/tHsSPrjBBzhhc9v5kA5PfkkHnJ/xNRlgOnPvkj6A85PJ/XjvUZl646ZI5A6AdMHknnuecGv3CeIbW9tn/AJrye/T7+vhJRTs7yfaP9a9dv0J2PqcZPT69e/XtnPcZ9ajLqvA549SPXPBPv6/yqEscYHfoegxwepPXHXpz9OWbxzkEnoeMe3GASe+ccc9Oa5ZV+7bT0be+ltUt9t1tv8rSlskoJ206207999bEjSMe/HocZ9R0PPX0x/RrPnBJ6Y5Jzg/TOce/BHPuKiMhA6kDtwR6e49/T/GIyqOeSfQdB9RuI/z7VzTxN1pvvpovw09dvmNU762cn3b9PNfjf9SfzABgEEg5ByASfX8Rxz+NRtJwcnI756Z5/wBrp+BqEyMehC9+OTxj8BnPqRn3pmMnk5xn6fxDoPoOnNcs676+7pe39adOrfkWklv26Lbbrt19PPYkM3PGCfxA7D1xj/AnjrTC7NwTgf7wzkZ9+B/nPNJkDgnp6Fsnrx1wD6jp+XDTJwTx9eTjOR0zzz07cflzSrrprbTf8ui7dfQpJ/Zil5vfp+X9K6sOHt0PftgHr97oPpSblGR16jAz/PccDp+nrUJcknJ6c4x9PRv8jOaYWxzn068ZOO/PJ/Q46Y68s8R1v6fh3X5L1KUVu238/u+4mMvoCMc/3uSPr+Hpk8nmoy2TkE+/fqDyPm/yRnPrC0hHQ8d89OT1GSM88fnk1C0nYZPpjvx06nPuef1xXLOv8vV69Pm/lt5opLol/Xfzf9Mss+ATk/qD+Wcf/WHFRPJ2Lfmf6hv/AK/51X3MeAcZznH1xznHb/OTwhIHUgdup6A9PvcfT2PQ1zzr67/jb08389i1BvfT8/6+4kMuenXpyQBjPvz+eSe/pTMseMnjPsB0zyD09fbnGekZkGeOcEcnOOo9z0574IphckcnHcAlunGD6+vTr+BrmlXfp/Wui1ZSjFdm/P5f8AlJUd+T069cj/aPXHOPr2pnmdSBgjPPPP1yeeTz3/TMZI5yRj33/rz/AI00yfU9e57fVueOuM46GuWeIVnre3yXT0T+bRduiX4f10HlierHoQR9Mn+9n+QPGaQsBnJ7YOR6dvvfy61EWzkFsH8Tj1/l7dvUUnHPI646HI9s7h6fQmuWeJ/Xp6eW2y1T/ItU39rRf8M/T+tiTcT0HHY5IBHTpk9vbt1qMlj7g4wRkcce+ePqO/bo1nC98+nLD+bf/q74qBpsHAyPbn/H9Bk89gK5Z1276/N7fi9PlbUtRiul35/mrP8Az63Pzu/a+/4JOfsB/tyao/in9oP9nzw3rXj94YoG+JnhK/1n4ffEO5SCJYbUax4l8G6ho9z4pjs4FW3srfxdHr9tZwgR2sEKquPm/wCA3/Bv3/wSt/Z+8V2PjbRv2d/+Fj+JdKuY7vSbj40eLfEXxK0bTbiKQSRSL4M1e8j8D6hJFIqSQzaz4a1O4tpI1kglik+Y/s6ZC3BP655/PJx39cDnIpnBwe+PXnkE/wB7j6enfHT7XCeLXiVlmSf6t5f4g8ZYHIfYuhHKMJxJm9HAU8PJcssNSw9PFxhRw003GWHoqFGUXJSpyTd+SplmXVK31ipgMJOvfm9rLD0pTctPelJxblJNXUneS6NdHRCK2ght7WKK3treNIIIYUSGGCGJRHFFDFGFjjjiQBEjRQiooVAFAWkLMcZGT7YHTOOBz29wRkc8U3eMfUcZ9Rng8nrj8upI6MaQHoD1B5565HQ9OR/gK/OJ4nXzb1bet2929X+TdzuSb2WxLnH+JPqccjPPAzknnGOKYXAyc4PQ88evByQCB049TjmoixI5Y4+jY5H6dQeMfrTSQM5JHXPPQAjkckjI7dD1xgVyTxLvrL1/LXZf8M/QpRtu+2iV+3RrzXTe3YeXIHA49evpyOTxjuOR6cABN3XucD9OmBnn146jA9KiLgdT1/HI9emefUY6D0FNLscYGMe57ccc/h9euM5PNKs382r73drNWVraX628i0n2S82lfS3RO3Tp2vZEpYD3zxgn2HuR+OBnPGeTUZkHTOR0x07nB9P6Y47ZqI8cMSevrk+/B5xgHn1I6im7gOx7nOGHr16/545zk80q66y16a3XS+9lr11fa27Hbvr/AF22/UkMjn+LHToR/jj346fTmmEjjJ5J68HPtw36cex4qIyED7wP4fTqd309cVG0gyMc5PAznB7HPbk/hxwcVzyxG/5/ctW/8u/e7pRelkkvN2stNUrarXoTlwAMYB45znj1xnn149vTNRlycAn+Yx9ME/y7dKg3E98Djtz2x3xwGHP5Cj057A8k5zwR/EBk9vp1PWuaVf8AvfddX+b307XLUO/l5f8AB9b2/wAnGT0z0z97A/Mn17cU3JxyQOSOnTGeTzx0PqPwzTdw7HP/AH1wfQ/N1pu/PRsDkdeTz656+/cYrnlWfTRdfw6v5rZb+RaVvLby/wCC++rfcfwB1H5Enpjs3px2/lX5O/tQf8ESv+Ca/wC1n4q1Hx78R/2e9N8OfEHWbiW91rxp8KNd1v4Y6prl7cOZbvUNe0vwxeW3hTXNVvJW8681rVvD15rV1KWefUHLOW/VzOcnI7n7x49zg/n+eTmkOATlvoMtn8fm9OnTOfavc4a424r4KzB5twhxNnvDOZSpujPG5DmmMyrEVaN1J0K9XB1qLr0JSV5UavtKTau4MwxOEwuLh7LFYehiaad1CtShVimusVNNJ+as/M/LT9ln/gjB/wAE5P2P/E+n+PPhT+z5pGqfEXSZ47nR/H3xO1jW/iZ4i0O9gcNb6h4dg8V3t94f8M6rbOC1vrPh3QtK1aMsQt9twtfqXnPf8AD9OzcDvkex9MsL4B25z2JJP6D0/Goy/fn9O4yOAfcn8+545eKONeKuM8webcXcSZ5xNmfs1Rjj8+zTGZpioUU240KVbG1q06VCDbcKFLkpQbfJBXKw2Dw+FgqWEw1HDU278lGlClBt/aagopt9ZO7fclJHTdkjrjJ7fUD8e/cdctL+hIPcZ59+4HA9OnXpioS/UH9Ae/TkN1z25+naoy7HsR6ggn+bD/OTwK+UlXeur/LRdnq+33/I6lDu/u+X/BJi+T1/PH89w/zx1NRGQDuT1B7c/Tdj6Y4PuaYTjGc8Dv1IzzjDYH8/cmmGUDA6Edev/wBft3Oc/hXPKs/l9347lpJbL59STexxgnv37ZI/vfTpwT3ppfjPXnsCD79CT9DzjH0qEu7cgcD7ueD1H0z+n+LDk4y2T19u/Ocgfj61hKsur+W3bq/+Dr8homaUA4GeO/Xn8SOP58dMYqIuxB9DweeT6dT7jt054zSbsd+vr3PI5+bg4A6flxTC/wDtZ9Dux/XH14J+prnlW3tt9347/l1Gk3t/Vx+Rzkk9Mg8Z+mD6/XGfqSm9R3557ke/94n3Pr+tRl85BP6kgfy5xnp6Yzk03Jx1XJ9M8d/Xg+nHoPpzSr+e++tvPfe+zKUH1+5b7r/g/roPMhxwOn+1nse24/TA7flTd+eecnjkj9fmHb6Y9TxSbsZy3GPfsP8Ae4/E9eTjg1E0mOp6cYyevqT6j+mKwlWfT/L/AIP5fMtRS6a99f8APv8A5Em7gD0Hv7DsR3z17Y6ZzSFsZ/nk9vxPv6jp1xVd5jxz785OfoegzURkz6njv/jnI/yfrzyq3vd39Ou2vZ/Prcdv69LfdsWWl4OAT0PBIz/30e307VEZSehH5jPt97g/09KiznjJGRgfjg5zuz/h057pkAck8fUH3P3sd+fx49MXWWtn6WV/xvYf9eu3+eo7ceOmPqPf/a5/x+lNBPTI7ngj1B/vDHfpj9eGlz64/E9OfUntk/h1pCSe/f8AM49iP8+2a5510m9e2tttl/h8v+GZShJ9LLu/l0/ztsPLkA/ienPrj73Hp7fXohc9s847njv3Ix/Tp61CT78+nI6f8CAxx19aXBIBBJz9Qf8A0ICuadfd3/r1en3I0VNLXfv0V/67vbvYUtyM/XnHPU8Hd65/+tmm59z+Y/8Ai/y/XPWjP+17/wAQ7dB83ftng54Pak34+vbr+fJP5dM45rGVR33t111v9/psv1K0Wlv0/T1/reKbopz0z19x/vHuBjkDr9RTcZHJGOOpyOOufm6/Q9DyetWpSSvPqMAZJ/PIJ+n+TVbuOfbIIH15bP8An1rGL9+6d+l+uiXT7umxrDb5/wCRUlBIbHBKggA46YP+A6D8iMY04+8O+cfTPJ+vpW3IOCT1wc88e2B+vP8AjWPOM5P0z168j/63OeB+NfS5ZO0o22ukv/JfvV/8+x6eGbbj6q/4O/36HN3i5XnHcfTI56Hrz7YHvX5qf8FH9DF78H/DWtxpmXQfHdgrvj7llquj6xbTZbIxuvIdOHJw2ADzgj9MbtSA2TgAk5H1wByfwx7YzXxX+29o41b9nD4hhU3zaYugatCQMlDYeJtJa4fjBGLF7oZzwGNf2L9FvO5ZL40eF+N5+SM+Mcky+pK9lGjnGLp5RiHJraPscfUctPhv3aenE+H+u8IcR0Gr/wDCPja8I23nhKTxULebqUY2u9+p+RPwO1Hy7iGMt9yTbj6tx3PbHc8V+0nwG1Q/6F83TZ39Mf5/Ovwq+Ed2YNW2EgfvUYdvTPrzxX7LfAXUf+PL5u8ffscevXn/ACa/6Kj+Mz96/gLqZ/0L5u0ff1Iz+frX3EMkZ5PGe/IxkfxD9BkfpX5v/AXUD/oQ3f8APMfiMEfn/Kv0ctXMlvC+fvxRt3z936+v0zyDQBId3+174z/if6e1FPIz3/n/AEYdsfzooAQNx19B+ZOTz7c/06geGfGW68vTmTI4hJPJxyCe/b/9QzXuIHXg9ffPcf3T3z6Hj1FfN3xxuNlvMucYix6dF+g9fTPoBQB+QHx7vv8Aj95/56d+/PP09PX+fD/DCHyvB+icf61bq4P/AG86jdXGT6580fQcdqvfHu7P+m8/89P8/X9fapvAEXleE/DSAYP9iaZIw9Gls4pX9/vuf61/n7+0Px7peGHB2Xc1o4vjOWNlHv8A2fkeZUE7f3f7TevS/mftPgnRTzrOsTb+Fk8aF+yxGNw03/6jJ/I9MtB8q989PqMkfzxj+db8POAeOOOPccn8OfrWLafw5/x5Kkntxg9Dn9Mmt2Dkj3259iT16cc4+vrzX+GueTvOfr+Davbve1+6P27Gv3nrvt07f8FmovA5wcbevXjHTPH1HTvnrVsYxkgA8DrjP3Tn+v6GqqgHB564PUDBGPT1/wA4NWwPQkdBjGPzJXn16cfjmvz/ABTvKX3/AH2/yPCqav0st/O/66dzuPh+f+KksXxysd4fQAm0mTPPs3v1r6ALkjv36de3O7Hp+X4gj5+8BceIrT18m75xjn7NIfQ55HHXGenY+8mQdSRnnPIH0/hH9Oh6mv6e8EKyhwfjLbvP8a33f+xZalvfolbRep8ZncVLGRdm/wBxCyT0Xv1fL02sSkjHcnHsT1PX3xjp360wykH046Yye/bt9TycjOetQGU9s+xxweegwPT26imEs3Uk9eMMAP0PXg/mCK/W5V5O+1+mur2873+a6fPylFLey8lv07abdycyAcDr1/l2wffP0yD6RmRz90YHvjPP+H4enXmmcDnp7nOfc4Knt+HJFMaRRjnPTGCfbqcZ5/Uds1yyrrvf7v09Fu+hSXaPzl8v6/LqPO4n5vm57ke3vznoM+3uKOBnKqOmOmcZ56f5+tRNIT7dOVz3xjqD6/5OMRZHXLfgfU84+UcflyMY71zzxG/TRa6+T0+yr6evSzGovTmf3dtNrNJeforWepOXGDhQeSOg/L659PwBqIyMR7duABnBH04wAPx46CoS4HQ8DqDn19MYJ6ZHt6dI2kGTyenAGOuDnOOcD8gR9K5Z4jrf/gbfL8PXuWklok3f1fZd/l6a+k5bP6jt7jsM/UZx9KYWHr6e4/8A18H8/TIqqznoOMEjJz+PHOCc8jpj3NNyT1498nBHsMH8O+SDya5pV2+r+V12+5enz0LUZN/yr5+W2t/P16qxM0uO/oSBz2Hr0Ht+OTniMuSO30xlvbBx+WenT1AaWUZ75A6DAHTPP5Hkf1qMuRkDgevQ5/75znB/H8xXLKsvTW/RX23bvt3VilBddfVadH8/yJcDJye2OTk5x26dCf17HOGbwOvOd2Dk9Mc+o/n6e9Rk5Jz+XPcd/lz6nr/KmMw/vfhk9ORzkDI6dcn35rmnXWt3ey16Pp89evT5bNJraN79L26Jeeu/Xpvcl3k9wBx3I4yfUfXAzx9MUzI4yQcYOcnPPXj9MfietRlv155zxk+uOM8+mTjj0Zk9+O2QWx6emP8AD1zXLLE66P7v+H8+71aLUJO91a/dv8rafIl3Y9T055OSDn8B1xxnP1pmT2wBx2P+z39fwPIPTmmHAGSTjAA56dD/AHRg49f/ANURdR0J/n6HjgDt69vwrmnXk+vW9u+2/qtVbz1NFBLe7/r1vcm59M/99dfX7vH1x9MYprMMHoevdunPbHv6/Ttiu0rHPOPrz6YxxnBP58YHQ1Fkk9SD/wDWOOq+x/KuaVayu5L5O/Z+nfrrroXotkvlddvx/rtay0o5x3yT1zjnAwc9cnoPpmoi7Mc5x9OOe/8Anv8AziJI7gcDnr1yfQeg7fmcU0t/wLnjgdOfYeoz9DyM1yzxCVrde99lby+Xl27uzfd/1+X4DyQOvPBweoP1x68e3PXmmk4I4A79x2HQducjp65HXMZbtwOOuAD39sdj3/DFNz9ex6E9wR29P/r5Ncs8S9Ly/Pql00ad+9n9+lcnV6b76722t5+erS06Eu/0H45OOx9s5/8ArHpywsTxnr29s+me3vnp3qMsAQd2MYzzkdfy4GRknJ4+piLnqATzjk88ZHBxgg+n0HfFcsq7b/FNtrSys1p5bJ6PZFKMeiv5vX000/q6bWxK2OD1J9hnAzyeCPT64yPZpZVJyehxwB1684A6denJ65AGYiW7njtyRjGeh2k9B/kEUzcB3JPfB9SQOwOfQ/UcDrzyrJfFLdq62ta3bSz6XsVbu/u0316Pptv3uSmQ9ueDg5BOT9eSe3QHjAFNJzyT7Hoc8jnuCcHOcAng461Ezk8ZAwfXB5x1+Ujrzn1z06CFmA/i9+Dn05GAMjj8Dk9ueaWIWy/PV7bu/dedvkhpdlp32X37dfxJy6gEAg+pwOnH9fUfTpTTJkHr27Angn8j1PP4ZAxVcs3YH6nPbHOOvpjHPHTik5J5Pcevoc9RyCff8a55121rLRdE766eaS/C6LUG+vyV9fm1+S177j2kHrnr2B/kOD19P0zTcnPAx1ySM+vAA+nBB+nUUwFQD9MY9Tz1+UH8T68+7TJ1wD+IPvxwPf3/AB5zyyrt7L5vW+3f5rr0NFFa2S+7VbddXfzViTaM5PPXj/8AX/U49MUhZeOfQAYB/Ee+PfjuODUJdj64IHTcP5LjHpj69ejSO+AM+px3GRyvt368mud1espvp1v1XnZd/PYdrdP+H03e76bj95OMKR05wO2Pf/8AV9BTc57Hjnp3GD6+/So8qOvJ9Mcdupxx0PrnPXOTTC2M4GPoD+ecH/CsJVktvLX7vl5Ja/IaTeyv/X4fgTEkcZI787emD+fPX6cc9W7wM456n26n0BJ5PPf+VQl/Xvn1GfpleTj8OuaiLntnJ68EfqF/Dv8AlXNKv5vy/C12+/l6MpQfXT8X/wAAsGTPcj8D2/U475NRNIvqeOOCB/ifT0x+JqHJPU45J9z6YyM4/Ak800sFJ7HjPT8xx3P0zx7455Vn01/pbt/P029LUYrpr5/L/h7rrp6SeZ2BOB0OT09+nT2659abkdWP1HzY56H6Y68dTz2qEyk9Mn6ZA/x9PzphZm6kjPoOT39uvtxx0ArnlW3d3/Xm7fmV8/67/InMijIHPUg9evPp7/XHPTmojKT0GcD8M884I5+vH4UwgDnB79R19ONuOefpjNNLjHGTxjoCMHHoPQDr27dM4Srb2tf5/nqgSfm/68h2cjljz2GfQ+uOM8YHHbPcIdo6ZBB/H6+nB4x9fqGFiScj8txwf++T2xTO5JGRz/ewB37cYI9u/GMY5pVvN29fTrf5aehahddVfVaq2tuluy6u/wCSmLHp19z17D1/x6kE88t5/wDrcdOnrj3/APr1FwCeP54z1x938Rx9SQcUwso64HTv2PYDBxk/l2rnlXve332v+bX5Fci6t9fJa+X3fNdiTB4yuSepzg9OnXn/AA7d6TgEZHAz3Gc/QH88+uCTgVCZOOB9M8cj35P1qFnJ/M8YI/Igemcc/wBaxlVb0cvuv3Wnl8vu0Ktbq/TTp6L5fMsl0GQcZPTnkY9uT9efaojJ/dB/TP5Hp/nioCW4xn17cDOP7vv2ycUZODuPX6j0HA259vQ8+9YSqpP/AD1fTe1/61H/AF/X4Dy+cZJIyACOmfcdvcc9eueiHOT2AHH0xyeD2x25GexIIZv64Jz+H4dVHv8A5JwwuxyPxPBGfbp/ie2PTnlWfez+/t0Ssvu1HyydrWXz81rte1r7d18pGA6ZHT15BHtzgHPQenHTlu5eQF5+ueM+/wD+v0OQKj/P8v1xt65HA+nrghzk8nr2H/2J/n+Nc8q/Z3+d+3ROy/4Bap2td3tbTZfl+Vv8lyfcHqcEHB/xGc9Pzo69h3HXt3/TH5jOOtJz9PTHvnj7vHv1x392lwvqfYc4+vy54+v1wawdWTvrbo9fS2mi/D8S0ktkl+v9eZJ/n/P+fx703I7nHpyP0/DH4HkdcxGRuOf0PPsRj0z9OpBpjHd1JIHPOR6e3Tufpn6YOavq7/ptZLpbrpsMkLgZ6Zyccep65J+vt60wyZGRgHgZ6EdTx1xjtjrjv0LcKR0Pp3PrxyD3744PvQQvYHj2OD165BB69cH2rN1Uu+/RrXVXvppfrquu4eX9dPy/qwbhxnrjryByPUe/5YPpyYOc8YHODkYIz3xyM88j6YFLgfp2Uf8AxPt69e3Sj09OeMfzG38e3U9RWUqjd7aeb95/p/w2nmF+36Pt+f5fi0gbT0zgnOT0BHrnjAHqPTiq7EHGMH8e5/njHtnIq0RkHr0JwRx6+n/1+vccVm5HcnjAx36nHAPQHP8AIVVKTb1d3dfjpttb+tNzSFtdrp99rpLT9fVd7Ko3HYDBAHXOD/nP4jJrLnGCckEfMcfRsd+/6DGc1quMcYxySfzx3HHoR/Wsu4GckcZLfqAf8c//AF6+jy6VpU7bpr8bWf8AX5HoUG7q21op/Ky/zXoc/dLwwyCDnAz0wDwfx6/jXzn+0dpY1X4H/F2y272f4feK7mJR1M1jot1qEAA9fPtkIwM7unNfSF0MlxgdPw5P06f555z5V8RrAan4L8ZaeRuW/wDC+v2e3Gdwu9Iu7fGOpyH9uor+gPC7MHlnFPDGYqTjLL89ybGqSvo8JmGFrqV+j/d76PR9D3/ZLE5fj8O1f2+DxVBp9VVoOm1802fzYfDi4MWuR843eWeuSMN/gRnvzmv2C+At9/x5c/8APP8Apx9D2Pb+f4z+C5BFr1sV43HH/jy9OM9+MZHXiv1u+Al2f9C5/wCefT8PT+mRxyK/6dz+HD92PgJe/wDHlz/zz/pwff0Pf+X6iaNJv0u0fqTCueOTgEf0z6dfevyT+Al1n7Fz/wA8/wCn+PbI9hX6ueGH83RbNupCAcfQHAwD6+vt6igDoS5BOMYz79vy/Simn/H/AOv2Hf8AoO1FAEmfrx7HJ64z8vT6f/r+UPjxOQl0M9EYf+O9/wAvp7d6+rwe/Pbjjrkgjt7f/rNfH3x6k4vPYP8AUdfzB/z6UAfjJ8e5/wDj95/56f1/Lt6r1rtPCMYj0LRIgAPL0jTk+hWzhX+nbt15zXm3x8l/4/ef+enQ9OvI9v5fz9U8OqF03Sxz8thaADGPu28Y6fj0r/Nj9o5WceG/DOhfSpmfFNZru6GFySCfyWIf3n7t4IR/fcTT6rDZZD/wOrjJP/02jubQfcHfGB+OfTpjp+NbttjI7cKD+p6ge3seOD2rBtOcew/oP6/5xW9bfw/h/IegJ9en/wBY/wCKmcu85r+8l91v8j9fxb95+cntstmaiH6/eA/mO4/PH4e9oA49RnkYwO3YqT6c8f1qtGMjGQCWH1Pt64/+uOlWgCQM4zx3zxkYPXHbOe/4Yr4PEv3vVI8Sd1J/L9O3ls9vkdd4LYR+ItO6jcLpQfc2dx14A9AOo9Pf3kDGCMe5J6gnudvc9D3HT1r588NS+TrmlP8A9PMcfP8A01Bi/wDan4+/Sve2dsc9+Rz2I9Af14+gr+h/BXEpcNZnQ6087rVNX9mrgcBFWS86M7X6t2V0fI5zC+IpPZOik/Nqc/0a9CYsAeueOcYPX3285Ax09uTTC/Trg9OOeSec4HPJxjHHT3hLLycHt3OMfgOenPX14qIvjnjHfByQPXvn6DPTr6frcsQrWu38lbpvZ2/F/nbylFLZE5boSxP1HOMdeRx7diD16mmF8Z5OM9x9fb27cDHHaqxl645PblcYPY55PvnvjjpUZZj0OMgYAI75Hfqeo7YrlniH3VrdLeS8l96893rSjJ7LT+tm/wBP+HsNJx1x35/Dtg5P8+p5qIy546jrzgfqB9c9O+OtRnjqT0HBIPPBPrj8uw5OcUzzAPurkt3J69iOcc557/THTmlX7b927/i9F+PyLVNddfL8v6/yJMswzzjPbj0+pI7dOPfFNyoGSee2APTvlee/r9Ki3E44xyT2wcdQPw6kenHHRpI5wTkknqMDqPfnHp7c9K5p1ra3Xyab0763+5fItJLZEnmYzt9zyRn9R78fjx6sLEkknv0yM5H/AAEnH5DtTN46DJ4PcdD6EgDjHr2PvTd7epHr8w7HBGT35HHH1zxXLPEa6PX116a93brotO5SjJ7L5vz/AK6Em4DP8+PXP93Pv+FM8wgkZx06gAE4x6dOOuMD+cfAIPqTzkeoHv29MYH403eo9e3YDpg9QPw9+nU8cs8Q239268t0nfvu/wDJ6Kmur/rt/ViQk/h6DPfr0UnPB7g8dOKbuHTjvnr+ORtxn8KgaUdgAO+cDp6YA/8ArfjUJkfPUAY9ufpyOvr69OK5pVk9W+3XTW3Tz8rb39KSS2Xz08vn/X322kUZzgn69OSemB0zn3HXNQmU8YB79sdM4/U8Ecds45qHd16cAZORzzj1Pb1OegPakLjuO/Yg8D8/y/I1zTxCW3lu7K9vu27fhsPV+vlqPLMep9OBnHX6c8Ec+vpik9c8d/5e3bucnHr6RF88jvjJxnJGfbHX+Q6Uwse7DqM9vQc846Z/pnHPHPE33fzV0nttr2fbf5lKN32vZ7X6eXy3a0sSs4Gfwz3Hbk8dOCM+34hhfgjjHvn/APUT15xy3vjEWSMZxj2PXrnnPUde+T3zTWdRxk5+vtgHjn0PbP5VzSrq9k/NdF3Tv17bea2ZaitN5b9rdP63fXQeW9fcHkdBx3ABzg8e3THFITj0Byc4Bz1HPTngZPTINQlyQQMjrnrnJB7gnuP1/KNiSTk5wT1+vXtzz1/pmuedZ3u2u2/pfzet7vZ6PoUk/Ja7L/hv07ak7SAdwTk9O2evB9/0PTsIy5buBwPXHYZ5HHv19sdaiJAH6ZPr2zjoOmf5800yEcZ+vBwMADnn+WePXvzTrpaLXXvfXT8Vby6200BWeybe2mull+HXfX13myvrk8HBJx07ZB689f0I4Z5o/hAHB9ev1x6D8cd+1cyc8Enr0z6flx0yMe+DyIyWYnt16ZOcDHXB5yOox36muedd6628lq/uV367lxi3vp5Jp9r67dfXyJy/qSMcdsAZOeq549P61GXJ6c9O2M8nknB5zk46enNMA9SMgd8+4HXH6++OCMNLKOmD19cAfN7/AF7Yzn2xyyrp7Xfb522X/Dbel7UF2+/Xt8u/R97ofhj3/ADj8D19PXnOc9KPlHX3POTzxyMg/of/AK0BbOccc84U+nY4P17g/jmm5PHzEk+2M8gkgY54+ueawlWfWVtNVb07X9dUn62LWnntvfp/n1/4JKZFGeB/T+H2zjpj/wCtwwyZzyBx0HHbngjOB179+O1MJA7569gfTqD7g49OPSmFgPTnAHAH6D/HHrntzyrRXn+e+v8ATY1rok/6t026df0RITkkdSM8DB/D7vocfXj6oSPU8+mD69cAep79SfYmIyZzk/z68+nH5Hnn61EZOoBOR/s9OvH8uvv0rnnX6X7adb6fL0T/ADKUJO19F56/h/mTlxxge2eSQevYcH8Mjk9STTGfPUng/j1/2h16H/8AVVdnc8YPbkjp17c0hPOS2ScZB5OPToPxyM4/I8063n/WnRaK/To+6KUYq2l383/kvv3JS/pzkAg+h+uPfqOnXPWoyzH27cZAIwPVeB+X5VEZAD1znrwAc8cf4EjGM89DTDI3qR3yc/QYxnjn6H2rnlWfV9NFu+ny/K++5ZMSOm4+nqOPqOfX39hUZk7DBPI4HXryeOn0H1B5qIj1YknsB35Ht3GP/wBdIXA4zxk98Z6+2e4656CsJVl0d/xeyX6de3qOz00eu2m/p3HlmOTnHsckjp7fl14NNI6kkdu/b6YJ/pzxTDIPU+3XP58Z/wA45phYHqx/DPP1OM1zyrPq+q0vf8NLab/hqPlfZ/d/X9dd7SFwo6jrxgDrx22jn347fiwyZPGMDPUdsc8bfT+XTpTMrkHHT6Y/x75zjPAGM0mcfwj8Rn6fp+eSe/HPKuvW2z+7t/nb56FKK0um36NL8unqO3deR7dePfkduvGO/GaTPqR7YH68qen4HA+hqIyL/Tj6dug7Hp61GZCTxx6ZyM/jgj34H6ZrnnVbs7pee99trW/Vat2LsvRdtu3Z+X/B72CwHPy/y9DzwPQ9P0wKjaT0OcHgjpn1GOevXgc5quTnPU+vXOc+oHsef8aMc5IH1HXPHfr6/UdRWMqiXW+9rvrp03/4a3o7/wBWY9pCeR0J/h/x/L0+lRl/rzjnqOp5weecevr3Byh2g7jz6jjHI9Pfk5zTd/oo/HIwRyPT17A981zyr9722ey7dFe/9dGCTlsn36pdOrsvlv5EncdcDttP+HbjH9KYSo6cnnJ4/UkHP4U0kn/P+f8A9XHSkAA6f5+vrXNPEJaXXzdl06LV3ve35ItQ7v8ABr8WvXp21FL+g4Ptz056Dqe/T9KbknJOf65+m3OP8PTIpf8A9fSmlsc8HnGB19+/P+frXO8Q3tfV2T1S6f8AB69GXGKXRX+9vpvbt6CdT0J6YyPr/s/hz2J5o9yBj1/LttB7D8/YYQyDnHX34Ht9f/1jPambic/yHTjjH/1uM1i6l1q3rbTft007/emUSEqMEkDj29cjPy5APB7c9B3qIyjtj3yPXryB3x/njCbQTyM49c/5NN2r/dI/H+WCah1Euv32+6y6fe/zRp/T/wCB6/1ub89T09zj6/dJ6cH6Z4wKDz25+n/2H8/Qc07aB2HFL09qwdaV9E35vl7rpfyXbzE2vy3T62Xb8PkNA49PoB7eqj+X+AMDpjoQen0/2cfl+YHR2R6ijI9azcpPe/3pdetmr7ef5hd+Vr+a7W6f5a6bje/fqe3/ANh3OO59c+oc/wCcn6fwHPr9SfanUf59/wAqV32fTt+j/rzC+v8Aw9+n3b6/8OM6jp2A5H6fd6D8uB6ml79BnOen65xjP+c06ii77P8AD/MLv8u+915bfn1tZjT0xzyCOh6cgDhenf8AxFVtpH6dMH9No9SP58Vabofof5VVwMYBzwOn6dSQOuQOM49K1pb66ax/N+b/ADNIPf1S2b/G2mj/AK1Kz/eb8Pbv34H5Z/QYGZcAAkds/wDsuR6564/wzWo/VyeuQMHt349f071mXP3vxB6+3/1vx9PX6LL2+aPS8oXs/OJ6FBv3V0/+2X9f0zCuhyT/ALueMd2yBx64689vauN1eFZ7e5t2+7PBJE2eRiRXjP4YPNdnccjHtntzjJ+vXj/Irkb/ALjp8v5YLf41+vcKylGrQlF2lGUGn5xaa26qyev4s+py1X5U9U7K22m1vn3P5ZfDhMOu2ykEFZ2Q5wOVbB7AdvU/4fq18BJz/oXP/PP8uOTntx3z7AV+VkCiHxVMinhNXvUBAxkLczDHU84GBk5465r9PvgJL/x5f9s+/TpyfUn/AD15/wCpijP2tGlV/wCflOE//A4qX6n8KzjyylH+WTj9zaP3F+Ak/wDx5c/88+v4Dv8AzPvgV+uPgl9+hWx9AOv+6O/4f/WFfjz8BJP+PLn/AJ5/0OT7+n+c/r74AfOgw85xt6nBxt6/T+nvwdCTts+2fqCP/Zfr/k0UZx1/mBz36n6EfrRQAzHv6f3QOhHqf/r8565Hxv8AHtiBen0Mg/DmvsvA65/HceevfP5DtzXxn8fFJF6PUyH8Of8ACgD8T/j4xH2728zGffNew6Ad2m6cR3srYgH3gj6//rrx749qf9N9zJ+Qzz3/AJfnXrPheQSaPo0mc79MsH7fxWkbc9P59fzr/NT9o7BvIfC+p0hj+LoP1qYfh6S/9NP7j948EJfvOJ496OVS/wDAZ5gv/b/xO+tOCPp+fC8VvW38P1H8hWFaj7v+7z/n6Ct22JyB9Onrj2I9OP8AJH+K+cr95Lykvudv+AfrmL+Jr+8/yNZCMDPTPt+OOf8A6/P5WOOMe3Qj2OOT6j357+tVOmPcH/IyOmPfPpVof1HQ46kDPDHP+PX3+ExK97r09Ne+ny+Z4s/ify/JGpYS+ReWM/8AzxuraXPAx5cqOTntwDX0EZRxzk9+Rk8eucfmB/SvnEE4BxxjGMdcA98+3p7DNe92dwtxZ2k5IJmtoZT1xmSNXIzkYwSc8DkYr9f8HMbyLPcG3u8Diqcb7/7zSqu11t+5V/O3XX5vN6fM6E7/AM8X/wCStfqXS7c8gehGCR9OeByeBx/Om9SCTx+HOOemePTAz71GZM9Dg4/vf4sen5devFMLAkZJP5HP15IJ6f56ftM6+7bt0et+q06JfP8AM8dKMfVd36fLS6/pkpZR0IJz6Dn2A5OPpg/phpkJA5we2CvH6/zqMlQARkdM45JHToCefw7/AFr8qf8AgsB/wUj0D/gmn+yXrvxSs4tN1n4z+OrubwD8BfCOonzrbU/HN3Yy3Fx4l1izR1nn8J+A9ND6/rqp5Ud/djRPDLXlhceJLS7i9ThrIs44w4gyjhfh7CTx+dZ5jqOAy/DRfKp160knOpNrlo4ehBSr4nETtSw+GpVa1Vxp05NZ4ivTwtCtia8uSjQg51Jvol0S6ybajGK1lJpJaq/Nf8FM/wDgtH+yh/wTPsU8NeNbm/8Ait8f9V0tNU8O/AfwJfWMevQ2VyjGw1nx/r9ytzpvw+8OXpUfZLm+tdT8Q6lE5u9B8L6xZwXlxa/x0/tBf8HR3/BSz4q6rfD4RXnwr/Zo8MPJImm6f4J8B6N498Tx2TMSkeseKPiraeLNPvr9UOx7/RPCnheIgK8NjbygyH+fT4lfEnx58YvH3i74pfFDxXrPjj4hePNdv/Evi7xZ4gu3vdX1zWtTmae7vLud8KoJIit7aBIrSytY4LKygt7S3ggj4iv9ifC36I/hZwLlWDlxHkmA464ndKnLMszz/DrHZXHEOKdShlmSYlTy+lg6c7qlVxeGxGPqpOdWvGMo0KX5TmXE+ZY2rP2Fapg8NdqnSoScKnL0dStG03NrdRlGC2UXbmf7GaN/wX+/4K8aJqkWrQftleKL6WOUSNZ6z8PPgzrGlTru3NDLpmofDmezWJxlSIYoXRT+5kjYKw/tE/4IG/8ABWH4o/8ABTX4UfGXSvjv4c8Mad8YP2f9Y8DW2s+J/BmnXGi+HvHHhj4h2fidvD2qz6HcXt/DpPiayv8AwV4gt9dj064h0e7hn0u503TdODXNrH/mX1/pef8ABuV+whrn7G/7DMPj34haXNo/xd/as1XR/ix4j0m7ia31Dw38P7XSpLX4T+GNSgcCSPUV0bUtY8ZXtvMkV1p1143l0W8hiutJmz+XfTO4P8IOEvCSrjMLwfwrkPF+YZvleB4VxWRZPl2TY+dani6WKzX2zy2hhp4rL6WTUsbTqxxMauHo4rE4Jr2depQk/T4RxeaYrNFGWKxNfC06VWeJjXq1KsEnBxpW9pKXLUdVwceVqTjGe8VJH9CBYAdTzx1z0B9G69/f61G03YdfY5HPT/OPbI5qsSepJIHPPpjtz9eo5PpwaTpnvwccnqODnJ9cYxz/ADr/ACNlXiut7a7vT5u/42t8z9RHtKxOOvTuPXHQnr79Qcd+rCfT8eQOoPv9CCOgzzTC6gnnd044wOe+T78ED061GXJzyB04ByAMAHgHPQnIHpXNPE9nbXp917u35vyGot9P6/p/1Yl3Ac9zyc5xyOo57Y79R0OKYX69+OQSfTPc/XHoOfownvkd8dMcnPc98YH0PbowtjOT7g569Tg4OOPTgYycdq5JYjrd22W9rabvbXTVrp83ail1u3o0vVX+75fLckLZ9fTHA7njr69O3HFJuB6YJ7dO/wBSOfUelRGQZ4xg55J5Hbjnv+XpxUZZjjcRgA55/qCT3HT1x0rnlVbvql3u7Ppo5PTutO/YpJ9Eo/c308vXdvXvoTsyjBOD17Duc4PUD6/U565iL88Zz04wOOMcZHUkenXtiot6Z+9n/IPXd1GAM+3emFz0HTp68EgYHJOMA+nTHtXNOut76/O6V183e3Z7eo1Ferv1118u3yJjk9TjPUcYPPXG7gjn8vwqMkD1OM5HHpjIOT9fQ/gKhMg9wfz6kjpnnr9PyFRlyc7c47E8AAdMZOe3PPbJzXNLEPul5t2b1W+t30tqWot+XXXV7q6suuvWyJy+R6ccfd/DofU9x6+5qJnwcHBODgccfQ4wencioyCc5Pv0A45/2hwff296QkKfTnt36n+979x+HFc06673672WtvJt79vzLUF/+0tPuTfr8TXqOLk9MdOMkfyz0Az15yenWkwCecnp/dHXHoc9/wBeM9TGZOuOfoce/wDex6889DnvTCzHqfT0/o3pz9OvGTXPKtJ/3V62/FWf46lWWnlt29bbX87XJSwHXHTrwOfqG4yckgUzeOwAGfUeuRnnB9uM8VHk4zk4wOcDt/wLHUc9z09KQtgA5zjJ6Yx16kk8c9vzHWueVZLrf8PNaJfi0Mfu/wAgrjvyMnv6e2PWkOMfxDn1A5yeOM+vYH36GozJ7+3Xp1PJJ69u1RFwM8/TPt/wId/bpwRXPKv52/D8Fq/vKUXva3/Dro9/69CYuOTz68k8dsYB/ljrjp1aXJyM+3H4DnuQCe5/UGoC/pznk9jzjB6+wGOM+5phLHqe/Hr+e7p14z6kc1zSr9L/AH/qkWod23bbt92pMXx0J5+nHTnHP9B1+tRmQ54659VGR06Z5PUDP6YqHcAck5x+HpyOeO2eBnPPWmmXng/0HH1JA/Dr3rnlW89PP/JfL+tS7W2SSf8AwP6/4clLHnJwCeVGCencdB0HtzTWdVyOuc8cc/ePUH8gcfmagJJOcgcnoRn8Rux+X+FJ3znrnk4JHB6YOPT07Y4zWE6y2v8A1or23f8AXQB7SEnj8j0xjjHIx/np0ppJJAYn2AI9sd+O2M/XNMLkAc9D7DPqCSR07/jz0ppcnqQMY6kE/X7wxxjOOvvjJ55V91p/Xlu/v+RSi38/+Br5rXoSfKO3oecH0xxkdc/5HRpfkY/Dpx0Gfx7AZ9qj+bqTknqDjnO3/ax9PqemRTcn19c8+2AM7v169+SOOeVZX39Vt+Hz6r/NUod3939f1uP3egP4Y5HoME59/YHuKTgEHB6nk4yex78AevGMe9Rl8dT0zxnr+vPt249zUTTdeTn3OPcY9fboM9x255Vn0drddv6v6+li1FLpa+9m/wA9yfK8Ecfh+eRu6HP5cdqjLgDGcjqP85IH9e/tAZCed3X0I4475OPx/Cotx9vY8Z4PfBwP5H3zWEqi6u6/r5dX+WgW69fn1evf+tCwZT14x6k5H9Ouaj3M3fv9V+vYcdOPfj0jJJ6nOCD29ueDnv2/MdkLAd8YPt175O4/kOPasZVrdfV9Omrf+S8hpN7b/f8A5feOJZuuAM4I4HTvyc+v5Gk2jrkfTjOPwPPp2747ZYXJ4yB26g/iQTz7Z5B5xTN2P4genb/6+Pr/APqrmnW0307bL735aadti1BvfT8X+Gn4kmV7ZP5duvr7jn1/NMnPp9P/AK2P8+tR7mOQPrwOe3bJpCzdz/L+n1rnlWb2773e2nXe+66GippdU9Orjd7fJdei3ZLSZ/zxUW8+vfjPH8iP603zD2P/AKDjA69+w/zisJTk9W1ruvmvJt6310tfYbVu3yt5f8D7vIsE4/8Ar8VG0ir79+v8s/8A6h+dQHJ6n8PX2+/7d/fFBX8enrx6dX9+2ay54q1/vdtdt7vXa976abgOMxPTj0wRntjv7/8A1uoDN2ecnqM9PbP8Xf8AxB6cGP1B69+no2PTH4c5GaXntngDjGAPrlvw/wDrjjOVWK0jdrs7JdPW+3X/ADu9On5f8F/19woA7gZ47Dt7A479vXBpQAOOOPT1/MnOP50mT+oB4Hf/AIEfUdKTJHvye2ff+907fp1rJzk/L0/q+/n/AJCHDHYfl/n/ADil/wDrf56/596Zlv8A62B+eN2frRluv9B+mG5/X2qf6/L+vkvkrbavtvv6/wCe4+v4TP8Ag4R/4KP/ALZHg/8AbW8cfss/DP4x+PPg18Hfh54R+Hjw6b8M9bv/AATqnjjUfGPg3SfGGsa54h8U6FJY+JdRtEn10+HIdEXVk8PxQ6GZTpr39zfXM/8AdiCSce+Og/8AivzxX8Wn/B1F+yHqFt4l+Cf7bfhjTZJdI1TSo/gV8VpraEmPT9X0y41fxJ8NtdvBGHP/ABObC88VeHry+nMcNu2g+GrDe81/bx1/bn7PivwLH6SORZbxzk+T5tSz7IM8ynhhZ3gsLjcHgeLH9TzLLsXTp4ynUoQx1bBZbmeWYCo4+0+t5jSp0Gq9Smz5DjmON/1fr1MFVq0nRr0auI9jOUJzwvvU6kLxak4Kc6dSaTtywbl7qZ/J7N8Zfi/c6gdWuPit8SbjVS5lOpzeOfFEuoGQkMZDePqjXJcsAxcybiQCTkV9gfAv/gq3/wAFEP2ddQsrv4cftZfF+XT7KSMr4W8e+Jrn4o+DZIEI8y0Hhf4i/wDCTaRZQ3CZjll0u20+9RW8y3u4J0jmT89qK/6Gs74F4J4lwE8q4i4P4Xz7LKlN0p5fnGQ5VmWDlTatyfVsZha1JK21oK2jVmkfhFHG4zDzVTD4vE0Kid1OlXq05p9+aEk7/M/vS/4Jlf8ABx18Ov2jvEPh/wCCX7ZWieGfgf8AFbXJ7XSvC/xR0O6ubP4O+NNWndYLfTNbg1m7vb74ba5fyvHHZTahq+r+FdSujLG2q+HJpNO0u7/qFznkcg4IIxgg9x/P+Wa/xqK/ti/4N6v+CwGreP5PD/7A37TXiiXUvFdlpzWn7N3xH1+8aW+8Q6XpFo8z/CDxJqNy5kutZ0jTbeW58AajdSNLqWlWlz4Vnn+32Hhy31T/AB9+mn9AzKOEskzTxc8EMtrYTJ8qpVcfxlwHSnWxdLLcvgufFcQ8NSrTq4mGBwcVKvm2UVKlWng8IqmNy+VDBYWpg6f6rwjxrVxVellec1FKrUap4TGtRg6lR2UaGISSi5z+GlVSTnK0JqU5qb/r2o/Sm5PPtg9B+Q+bvj19u4oyfr17cce+7/PTrX+RZ+o29fvfl/l+fdit0P0P8jVQYHuMY5I7/wDAvr78nmrOSR7EdcD377sdj9Kr9B1Pbv8AXtv9Pf8APoNaO/bWO39I1p6c2/T/AC/4P3ld/wCLGOo6Y5HbPOevT8Pc1mXP3vy/ka0nPL89cY5/mM/pz65HU5tzyxHoR/6CD/nj8T2+hy/44f4ofnE7qG8f6+0jDuDxyR0P4cH3/p6fjyN+OT/ukeg+8fyrrbo446dOPxPGc9sHt6fjyWosFV2JwqqWJ7AAsSfyr9d4XV50Vr8Ubaava2mu+h9Vljtyva1nc/lqJB8WXLKVIOs3xBA6/wCkzHrnkHr71+mvwDP/AB4/8AP8v8a/L/T5ftGvRyk8zXskh5J5kd2J+8c9ep59TnNfqD8Awf8AQfby8/jiv+pfDwdPD0Kb3p0aUH6xhGL/ABR/Cs5c05y/mlKX3ts/bH4BnP2L3Mf5cfy4r9f/AIfH/iRRHOPuD8lA7kD+f9a/ID4CDH2L2Mf5cfz4r9gPh6ANCiz0wpHOOq/Ue461sSdwcdz7DG08fgaKfhe/HsW9fxPWigBwP9PXrnHcDjPH518efHqPi875D/j14Ht6n/Dj7AGR+mOG4xnPQDrn9a+UfjxDlLo46ox6HnI+mfw9uaAPw9+PcR/03/tp09OeB69Pw/n3/gSUTeFfDE2c+boGjyA+u/Tbdv64H4D6cr8e7f8A4/eP+en5c/Tp7ccDJrS+Flz5/gfwq2c7NMt7bjt9kLWgH4eSRj2xX+eP7RPBOr4fcC4+2mF4px2EcrfC8dlM6yXzWXvr06n7d4JVV/aefYe+tXLcPWS8qGKUG/l9Y/E9ltM4Tv1HXOAVyOTW9b/wg8ZCY4GeuOv5+n4jrgWh+6fc+vQ8f171uwHJHvz37H8e2fT1z2r/AA/zyFpT6XaVuu6XVeT36W3P2nGr33+N+u3X0XzfmbCdOp+9278Dj6etWV6DGeSO2emB1HYcgZx34qohznk4B+o7jn3zxgdf5W1PXv0z1Jz+PHXP59cCvgMSveeu1vw/TX8Dwqmj83br027P5+ROnIU4PTg8d8/59M9uufX/AAxcLPo1qGPzQmW3Y8HGyRig55z5TR8demK8gXpnHc+v4HjPofyBPOK7/wAF3I2XtoxxtaO4jHXIkXy5eCCeCkfp97pzz9d4bY/6lxKqLdo4/CYnC2eznDkxUG9N7YeUY93Oy1Z4+Y01Uw7f8k4yXXRvl8v5k/lc74sp6fqMdh36HoTxx+dRkn9T0wOAT1+YHtnjHT601nQAdCQAO2fTPIycfT8+lRNL1AUH0PAP0BwB/LPNfv0sQ31aXn8l1e9tE9Ony8NQivP1/wAv87k54yT2IPuAffd07entiv8ANw/4Ohf2kdb+L3/BSK/+DH2+Z/Bv7L3w68HeC9H0xZGaxHiz4gaDpPxO8Z69HGSQuoX9p4i8KeHL912hovB9im3dEzv/AKQTOxz+Pr0464Az/n3r+D3/AILpf8EV/wBuP40/8FAfiB+0V+zF8G9S+NXw7+POmeCtbu5vD/iLwfpt94L8ZeHPB2heBtc0HXbLxR4h0K6jtr5fDFp4k0/WIY5tJaHWpNPe7iutPliP9a/Qpz/gvIPGLE5nxnnOT5JGhwfnUMjzHO8dhcuwNLOKuLyqlUgsbjatLD0cTVyaebU6anUh7WnOtTi3OUIS+X4wo4uvlMaWEo1a3NiqPtqdGEqk3SjCo17kE5OKrKk3ZOzSei2/kBor+mD9n7/g1h/4KF/E2WzvfjV4g+D37NmhSMn26217xSvxM8cwRvg7rLw78OTqfhO7dFyXhvviJpDhiqAk7/L/AGY+Hv8AwaSfscaT4bmtfil+0j+0b448XSWbxJrngyH4dfDjw5bXbREJeQ+F9W8J/EjUmEUuJBbXHi+ZHQGJm3HzV/0V4r+l54AcJ1vq1bjrDZ7ilJRlR4VweMz+lGN7Oo8xwVKWUSjHdxhmEqrWsKckfBYXhXPMUuaOClRj3xM4UHft7ObVVP1gl5n8iv8AwSc+HHwU+Lf/AAUa/ZG+Hv7Q1/p1l8KPEXxa02PW7bWAraR4j1vTtO1PVvAfgjVlkHlPpfj7x/YeGPBWoRSlYp7PX5oJHRZC6/61oKKqqoCqgAVUXaFUAqFUDAAAwAB0GAAOg/x5P2uP2ZPij+w7+038TP2eviJ9p0/xp8J/FjQaX4isFudPg8RaIXi1XwX4+8OTh/Pi0/xJok2ma/prxzG60+S4axuWh1Kxuoov9Eb/AIIV/wDBU/TP+Ch37Ntv4Q+I2t2qftVfAvS9L0H4r6fPJHFe+P8AQEVLDw78YtLtgVE8PiARpYeNI7RRHpHjSO5ke107SvEPhuK5/lr6efBuccV5FwR4ycM5jUz3gnBZLRwOKo4SXtsHl+FzvERzDLeKMNyp82FzmOIwuX47ET5VSlhsljZqtN0vpOCsXSw1bGZTiafsMXOs6kXJWnUlSXs6mGl/eo8sqlOKT5lKttZX/dMucccDp3OeO3J47jHQenJppP1J685BOPTjnHH9feMuAByWOSCRng89h/npkekRfjgY75wcgHPBOOc9B1B+g5/y1lWbt+Ot2tV93n32P0lRS2Xzeu1vO+vy9O8xIGCevHBCnr27Hnr2/M0wyAdCOueMDp2OD0x26n1zxUWQTkkHjHQ/jxn9fXp0ppkxng8dSckdPQcD14Nc0q0Vq5O6V973+HXpfTR/Kw7d9fy/r+nckLMSeDyCOOB9c7Rz9T2+lNLKvUnofqM45GcY+gHU47CoGkbnnueOfw//AFdu/NRmT09zwSe319+OMAj8+eWIvsrWS1v2S1106dvmUot9Lfh22W736J/gWGkA6Y9ASMHjryAR1644qJpM+nOR9fwwM9T+PX3hJYn098E85P4e/P178J8o65/Hd/XiuWde28m/T/Pe2uu5app2vrt1tZ3T23fz5fXceXJ7ZJHpjOD64/HByPzFNwTwTj6Aj9f8cj0HWkLgHjn9B/L/AD79omck9cc9vqvGe3Ufz69eaVZ9LRX9dX+lnfr3tRUbW+aWiez6a7p7t/mTYVeuPXn146fp0pjSDHHPB/HjsO/41Fnvk8nHT1z04znPr+PuhOOC3XPHHQg8YxkEcdT0/HHPKqt3K783+r1/P8StOmitorvy8v8ALbyV3GQnIzj73QH39ccfifT3pvX0IzjoT646cf05yeerS/X+R988YHr19eDyajL+pPX0OPw4x/8ArzWEq9ttLa/l5foh8re0ei69dNfmSkqepBPsD0z25x9evt05YXHbH6MccDH0HHYn35qEvjoSeSDgdPTtxn8e1MLE4x7EHGCOnoOv4449jjmnXfd29bdvVvz9EWoLq7/1/XYmLj1Hp6/oMYHIA98jFRFzzznpjA456c445xjv3qMnnlj0AxjB6e/T8PYdcCmNJjOD0P16n6cY/T34rnlW7NK/ytt8/uZSil0RISSOvABB5PGM9OO3+P1prEA8n1IB6dScZ9xwe2Ac9BiEuxIwD65Ib69un4cdKYdx6gntjBwfft6D0rnlW8/0Xr3/AA9BkxlxgfXgD8PX1z0xUZcueuB0BxnnjAz/AEz65zmmEj0XHsuT+vUj69e55pu7HHIweOOvT0yMcDr71hKt5/p26v8Ar9HZvpv2s+2/RefYfxg8k459OuAeoz15/wDr5ppZRnoB19Tz06Hjr9PUEimk5zye2eD044zj07dfpimn0G7v/CffHp07fh6VzSr26/h2t13Wn9WKUXpv07XW2r2t10toO3r29+xP17en5dQBTc5HqPXHoD1yOuRnHHUdqYx9+gI6Yx69/wCfTJ6HimGQZI646498jkZwO/T1PeueVZvb+trfl5PfYpR9Vtvyvbbo/wCtNSQNwBjgfrwfbuf6570m8Drgcjv3B7Z68Z79eetQGT8Pfjtx3A9uf8ai3EnqD0wfYYyOvJx/+vPTCVS97tavZa32/Hzb/VFdtX+Gu3l+PS+5YaQD9AOnPQdevb+eODULSnkZxx26Hv168/l/WPkjkgEnjqM9OvH0I+uelIQMglsZweM9MduPXp6D8qxdZLbf5Nu1vRddenbUf9aK/wCQpcnPBzjuSep/A9Dxz6YoLHBGDnrng9Dz0AGOtRlgO3Y4zkgZ9wMD/J54pCcnnPU9jg5/Dj8DWEq/n+u/rp+ZSg3urLz/AMv87fqSFgD0wV469hn2xj6880hcnpx6c8/TnH5H8eOkXpwfx39vw5/p1welNO7nGRznuOvrxyfp0wcCuaVf+t/xemv+Zcacervp1bt06a/c79b9R7EnO4Z9uO2cHjnGBz6Y781HuGBgcj3PGPTnI/Ptn6OO3qc5/u5P49Rn8e9R5HTnPPOD0x06f19qwdVvy7X13t8ra2vt+ZolFLt5LRdNNE389OyvuOAzySBz3P8An9abwOcjA9eh5pMj3/I/4f57UhCk8g5/H6/j/wDqHpWTqR6t+v8Aw7Hfy+9Lb7t/N/cBcAEDnnnk9f5dsjg9OtMLH6d8DPIIyOf07fl0dtGcAD8z6fkDn9Oe9GPQehHLcE/h9PQ8c+0Osltrr+Hrff7/APNXV9vyXbsv6++6AHr6e5BOCeuTxnn/APVnDgOPfn0/vZ5Jz0/HHPekx1GOMdMvj19Ofp1pMdMjjBH8X16YyOc/n9KxlUk+y9Ervbf8/mxf1/X9eopBwevbHKjnj27YAB/ADvSke7dfX1x79RnPvjnORSEdc/lliP8A6/T65+owY56d/VuCO/TH06e1ZgGD/td+49Rjrx+Q/PuYP+1xg9VJPX+vIzkceuKMH09T1f1+nXr7nrRjnJH05Ykd/T3Hcd++aADHu3HT5hnvz7f/AF/rQAR3bvxkevuOc/zx9QmPboc9X/HnHfjp/wDXC474Axk9WHv149efx96AAg4xg4+q/gO+MDn1z+dBB9+cdSAByOmO4+n59CAcdPUcFh+fGeTnr2x1ox7e/V+vr0+vvz78gBjpy3JH8Q6f5PIHfv0z8/8A7VP7Onw8/ax/Z7+Kv7PXxStxJ4M+JnhS+0W8v1SF7vw7qURTUfD3i3S/OxCmr+EvEFnpniPS3mPkfbtNgS5WS1aaJvoDHIOPzLf1HHPrX8xX/BxF/wAFR4f2dfhVefsXfBTxEIvjn8afDrr8UNa0i6xe/C/4Q6zHJBc6aZ4WD2Hi74lWpm02yiyLzSvBzarrDR2VzrPhbUX/AF7wI8PeOPE7xX4N4W8PK2IwHE0s4wWaYbPqCmocLUMpxNHG1+J8TVhZ0aOS+yhioPmjPEYuOGwWH58XisPSqeXnWPweXZZi8Tj1GeHVKVOVCVr4mVWLhHDRTTvKtdxejUY805WhGTX8Jnj/AML2/gfx3418F2niTQvGVp4Q8W+I/C9t4v8AC1xLd+GfFVvoGsXmlQ+I/Dt1NHDNc6Frkdoup6TcSxRSTWF1byPGjMVHJV7X+zl8AfiL+1J8cPhr8APhRpR1bx38T/E1l4c0eN1l+xadDJvudX8QaxLCkr2ug+GtGt9Q8Qa9eiNzZ6Rpt5cBJGjCN/eFrH/Bsd/wTm1vwT4X0Fbn44eE/F2jeGdF0nX/AB34M+IcaXXi/wAQ2GmW9rqnirUfD/jjQvHehaZPruoRTancaToFrpml2TXLWunw29vFGo/6K/Gv6VHhV9HXG8J5D4j5nnOKzjiPBV8VCORZXhswxGGweClSw085zfBwxmEngsHmGLdelglhKOJlXr4bG06ND2eEqyh+CZPw1mefQxVfL6dGNLDzUX7arKnGU53kqNKbhJTnThZz53FRjKDcrzSf+elW94V8U+IvA/ifw7408I6xf+HvFfhHXdJ8TeGdf0udrXU9E1/Qr+DU9H1bT7lPngvdO1C1t7u2mXmOaFGHSv7U/Ff/AAaafCO8nkbwN+2V8RvD1sWYww+K/hL4a8YzomTtEtzpHi/wLHIwGMstpCGPRR0qx8Pf+DTj4OaVrlpdfFL9sD4jeN/D8M8cl3o3gn4WeHfhxqN5Ajhnt113WfFvxLithKAUaVNGkkVSTGVfDL+cV/2hX0S62W16lbjzH4l1MPVjUyefAvGVTEYmE4OM8LJVchWWT9tGTpuNbHRoSTanUULs9CPAvFCqRSwUI2kmqqxuEUYtNWlpX9quV63UHLTRN2P6L/2Gf2hn/ax/ZC/Z5/aHubaOy1X4o/DPw/rniWztl8uztPGFrG+jeM7axQ5YWFv4r0zWItP3YY2SQF8NkV9W4P8AtH05H0zz7frnpwa8y+DPwe+H37P/AMKvAXwW+FOgR+Gfh18NfDen+FfCWiJcXd21npWmxlVe6vbt5rzUNRvJmmvtS1G8mlu9Q1C5ub25kkuJ5Hb03HsOpwPmx7HH8z0x9a/53OK8VkeN4o4kxvDGDxGXcNYvP84xXD2X4rk+tYHI8RmOJq5Tg8T7OdWn9YwuAnh6Fb2dWpD2kJcs5xtJ/vGFjWhhsPDEzjUxEKFKOIqQvyTrRpxVWcbpPllUUpRuk7NXS2A55JBHB7j344GT2/z1rsevUDjPUHHPr68dPxwOk7DAIGB1xktj1+nP/wCrJ6QnOB9f9oH2HAz6de/bpXjUt1/iX9fidcF1t+Pz0VvTUqv1OCSD+PIPTPb1+tZc54z/ALR46/wj2yTz3rTbPI9GH05Gf0/XPNZNx3/4GcfX8PTHt719FlyfNB9HKP4JO/5/cz0KHRdNH972t89/L0RjXf3mJ6AcH8T+fB7diO9ec+Mb0WHh/wAQ3xbH2HRdTvCc8AW9jcTkg+g2ZzXod0fvepyD16YyP8/lxivCfjlqP9lfCP4pamG2tY/D3xlcIc4PmxeHNQMQB7EyBVB9Txmv3bw5wDzHP8hwEY3eNzXLMHGNr8zxONoUUu/ve0t3d9+h9FSqLD4PE127Khhq1VvsqVLn/BX+5H81WgjfqtkB/wA9RweCOo/xFfqd8A4j/oXt5fUeuOD/AI9Ofevy38MRl9aswefnzx0PQZ6enrkc9q/V74CW/wDx5cf88/6fXA6+o+lf9QR/DJ+zfwEi/wCPL/tn+HTg+o9/8n9fPAK7NBg467OP+Ajv6fj7da/Jj4CW/wDx5cf88/6fkOvqPpX63+DE2aDajpnHQEE4UegP17560AddnHUgemeP68/hRUTDnkj8j0yfb+pooAftB7+n8IHc+3P+cjpXzX8crbdbzNjrF6f7P+eoxxwRX0sMdRgDGemPXk+3pXhPxntfM05nAODAf0BHGe3HTp0oA/Db492v/H7x/wA9M5/H8u/X8DXKfBK583wLp0RPz2V9q9o3qCNVurlAcnjbFcRj6AdeM+q/Huy/4/eP+en9fzB/TjmvCfgNcj+yvEmnMfnsvEc0yqf4Ybyxs9gA9DNb3B9OfY1/F/08cpeZeBUsWo3/ALD4vyLM5SS+GnWw+Z5O7/3XPNaaa2b5etj9X8G8QqPF1Si3b67lGNw6Xdwq4XF6eajhpO/RX6XPp20Pyge4H/j26uhhPI+mM/gD056dOmc+nbmrNiR1HQH88Yzn07f/AFq6KAj5T0PXHpngD07Z5xx1r/AvPqbUp6dZeT+y7eu3p1SP6Ex61fbf70r6/Lb/AIBsxjI7cgHOOOAP/rZJOOvsBbH4Z6cA9sf7J549+vbvShPyrnOCuOB0xwT/ACz9D7iridBgdDxwCAO3fPOBk9vavznFpqT9b+S1Wnbp8/M8Cpo+l9V9z6ff2/S1hOVAOeD6ZwP++ePyH9a6Dw5c/ZtUhGSFnDW7ccfPhkyMLkmVEHfHbjIrn4+Mg4Pfpj9BnPX2qdHaJ45U4eNldCOzKQy+hwGA9u+OMjDL8ZLLsyweOhe+FxNGu0vtRhOMpwflOHNCXdSZw1oKpGpB/bUl1Vr7Pbo7P5dUey8nJ9O3v+K9j0Iz/SkPAyTjrwcZ755AI54Pp6npVSC5E8EU0ZASWNJAOON4DYzlcsoOGHHIwTTwSR7+hXvj68D6+vYECv6UeMVWEJwmpQnGM4SW0oyipRcfJxd7rddT5zkafvaWdmtL7pPy67/gS7xjAycE88kcDpj8eOB0HGeKYWJz3x2HHAxx0x3OMYPp3qNiOenHHp2Gf/rZGBjjNN83sOR74GOPwHXpx/LFYSr3ezVtv/Jei13atr5jUdmlfbV/J6W+f469G8n1zwPrnoecgZPcjjjuO6bgOMkntjucAZ6cY7H8zzzDvYnk49emMfL16dsZx7cUwsq8nBJGcZB9c9e/Tt19Aa5p1tdZXt0XyfS3W/VX01aLt8vTTtdd7X/PyR/NP/wcf/8ABMdv2tf2fov2rPhF4da9/aC/Zs0C/uNd07TLXzdV+JXwQtpLjVfEOhJFEnnX+ufD+4lv/GXhmBGM0+m3HjDR7W2vtU1bSIYf4Q/2Q/2r/i7+xP8AtAeAf2ivgprX9l+MfA+oh7jTrl5m0Lxh4avCkXiLwT4qs4ZIjqHhvxLp4eyv4Q6XNpL9l1bS7iy1nTdOv7X/AGEHZXDKVUqw2spVWVlOMhs8FTnBB4PQg81/m4/8HA//AASzf9h39oVvjr8IvDzWv7L37Q2u6jqOiWunWxXTPhV8ULlZ9V8SfDeQQr9nsND1VVvPE/w9jxbxLo41nw3aW7R+D3u7v/Tn6D/jdlfEGVY/6PPiA8Pj8Bj8HmK4QhmnLWw2Y5di6VWed8H4iNVuM4unPE5hllOV3OjPMsIpwVHAUJfnXGOT1KFSGfYBSpzpzp/WnTupU6kXFUcVG22qjTqWtr7OVnzVJH95f7Cn7bvwc/b/AP2dvCH7Qnwd1ACz1iMaX408G3d1bz+Ivhr47sra3k8QeCfEsUKoReadJPHcabqAggtte0O70vX7CMWmpQqv2GZOw4BHUceuenX2Bx+Ar/KH/wCCXP8AwUt+K/8AwTR/aBs/iR4T+2+KPhT4ubT9D+N/wnN4YNP8c+FILh2i1DThMxtdO8c+FvtN1f8AhDXGVTDNNe6NfSPoWt6vbT/6g37PH7Qvwl/ap+D3gr47/BDxdY+NPhv4/wBKTUtE1W0YR3FtMC0OpaHrdgxa40fxFoV+k+l67o14qXmmajbXFtMnyBn/AJd+lL9HXN/AriiWMy6GKx3hzxBiqsuG83kpVZZfWkpVp8OZtVtaGYYSCnLB16jjHNcDT+s028TQx9DC/ScNZ7SzvD8lRqGPoRSxFJWXtI6L6xSWt6c3pOKV6U2ou0ZU5S9uZh14644GSTz7fhz3AOBUZYnPykfge/U4wfrjofbgU0kDnj8Tk9RjJ/lyRz7AFm4A5ABPHXGDken1Gcjt0Br+TpVv63f37eXX1PqVBK1vS/V6Lq9Vv3RJjOckkY9CPQdMHr/U8c00leuB9APrjsMjnnpioyQRnI/MD+XHakJGCeCO/Pt9D6nj3965p1t25fc9Oi06Lbv+ert/l/T+Y4v6KB77Tnk9Pu46fiT9abknqPXs34fw/wCeuKZuXuMn/wCvnv1zxnIz1pm8ZOOOcdDwfQHHHXtisJV9NPzult1229fkNK+138tOnW/9ad9JOAccY4xkYPueVx+o4HrSEr2GffgenYAen6moC/TB474HOPTn2x+Ipm/PfOcdgOu32z3HTpx6YrmlX8/603b/AEXkylB9Xp+P42t/WhOWH9eBxj8B7d6iL9PX9MgHHUZz/Tvk8REsedwHrxgdx39/p6/VhIXHPBHJAX8OO3PXP58cc8q+9tX87/e/8jRRS/r+uxKWY9Md87l9z04/Tr370w54yQAT/X/d7ep4NQtJxxgn2x6HPbPqeD3PTIphJbIJxyeME85HoPwznnjj155Vrbv1a+XVv5DJiwUHOOvtycnp8p/X8OKjMhPA+g4A9Mdu3ofQfhGdoPc+mfpx9R+XbtSGQDsD26DttHPGB+JHUegrCVfV9/L5ddvuX4js29nf011/LoPJJxlh246Hp646c/Tkik4HQjPuc/T+Htx/Koi+T0zwOnpgdgP64pNxOCF45ySfz5OMdPcdPpXPKt1v+N7fN6f8OVyN9LerXl/wf6WshfHv9Rweuei8dT+fvTCWOfc9s+/X5f5fmO7Cx6EY4J/Rh3+vT8uoprOO+Bn8fU/nz1/xxXPKv267vd9Lb/P8FoUoLqtet+/5NfePwcHk475yM8EnA2/y696bxxz06cn1/wB3/P4YqEyAZx24z9R1I/n04GfWojIcnJ49uB7gj2B5/LqMVzyqvrK357L59P0vsWWSwHqOn5Z+g7jOfw9KjMhJ6fifTj06Y/8A1DiqxZuvTgfTnHrkfgMHnmj6kckdhyCeoOPrk9OO+eMZVV317vV7dg2/BfoiQuSR3/A9e+CBzjvx/wDWj5Pckde/HXHOCTwPTH9U3fTuDgL1/Lp6+350hYnPp7Y9+/X1B+v1rCVfo9bdOvzS720u/MajJ2st7avTTT57baDsDpkZzz254z/DjAPTtTSyjI9Me/XgdVyfp60wknHGcnnnPHY+mTnPr/RDjIwB1H9336c9ehFc0sRpa+nb7t0rWd7bvoWqfdttb20XT1flur3HE56e2flPt7Yzjtj+tJx6k9Oo/HjC89Pw+tNHrkD8v9nt0xx2I7YpMgAcA9OwPpnPHsc+mfywlWbWvRq6b0TdvRLfVmiSW1l/XXTX/geguSc9T7Y/H+5/Og+p7Z/mRz8mOvQHv160wye36ZIwO5xwff6Y4GaYSe4J65/P9eOT2PSsXU7u7063ttfXT8L36jvbby6v59t+v4EhZR6dhgde/Yr39vSmFzzgA/8AAcH/ANB4/OmgLn7p6+/t69u364xml2g9sdD0/T/HH+NZSqR269k7vRrr5W8tel9Qv2v+W23Xy+XQb8x4/Qjtz/s4HHfP4dqOD179MDn0H8PpjH/18B2Bjp244ye3UEdeBx39OKXHPT09Pz9ePw79aydS70/F3ey/rr0Ffy39dPvf5jcDr054AX0/4Dkdz/XjgwPT/wAc+v8As9uPT+lLgenfpgfTP+fT8z8D37Doe3TBB6nGTx61Dbe+oCYHp6fw/n/D/L9KML79v4R6f7v4n+lOwP8A6/HY/wCR6jnkGkwM9PrkDv8Ahz15wew680gEwPQ/ivT/AMd60YHHXPrtA5/754/zntTgAO2OewHPbPA9/bHPbqe2Ome3H8u/B47j2oAbgY6f+O9x/wAB7/T1x0oAHp0/2ev/AI6P0/8A1OwO4/TPrjt2H+HOeTA9B+Xt9On/AOqgBuB/levX/Z7f/rFJgfU/7uP/AGU98/yxnmn/AIdjngevTPHvj16mkwP7uenYf54/l360AJgfkR/Dn6jhfTv/AJJgen/jv/2P9fqTSkD0/EAZ/l/TPPHsv14z9PXp078ZB9eOQaA/r+v1G4Hf0z90e+f4R07evp6mB7/98/8A2NOwPT68A9Pz/AduMAV8yfteftZ/Bv8AYn+BXi/4+/G7XV0nwt4ZtxBpmk2pt5PEXjbxRdxTnQ/BXhHTppITqXiLXJoJFgiLx2lhZw32s6tc2Oi6ZqV/a+lkuTZrxHm+W5DkWX4vNs6zjG4fLsryzAUZ4jGY/HYurCjhsLhqNNOdSrWqzhCMUrXd20k2s6talh6VStWqRpUaMJVKlSb5YQhFNylKT0SSTbPnT/gqF/wUX+HX/BOL9nTVPiVrh07X/iv4sXUPDvwP+Gs8+y58YeMltldtT1KCB47yDwV4RW4ttU8XanG0CiCSw0O1uota1/R0l/zEfiz8VvH/AMcviV42+L3xT8S6h4v+IXxD8Q6h4n8V+ItScNc6jquoymSTZGgWCzsbSIRWOl6ZZxwWGlaZbWmm6fb21jaW8Ef0N+3b+298X/2/P2gvE/x4+LV59mN4W0fwH4Hsrua48PfDbwLaXE0mjeEdBWVYvNEAmkvNa1ZreC51/XbrUNXuIbf7THaW36Zf8EGv+CW837cHx1X42fFzw+8/7L3wJ12wvNdt9QtydO+K3xGtVg1TQ/htCJV8m+0LTka01/4hKomQ6NJpXhyeJP8AhLEvLL/oL8CvCTgb6C3gZxF4j+I2IwtTjPFZVRzHjPM6Do1q6rS5f7H8P+GZycY174+pSwrnCcaea5xVljsTVhluEwSwP4ZnWaY3jPOcPl+XxksJGq6eEpyuo2/5e47EpJuPuJys03SpLkinUlPn/e//AIN0f+CZb/s4fB1/2x/jF4ea0+Nnx68PW8fw60nVLXZqHw7+C1+1vqNlcmGZPMsvEPxNeGx12+JDT2XhS28OWAezudR8RWD/ANNmF9Pf7v6fd/8Ar02OOONEjjRY440WNERFRERVCqiqoCqqqAqqoCgDAGBgPwOw7+n06cfTP8+K/wALvGHxV4k8afETiPxE4qqp5jnuMcsNgadSVTCZNlWHXssryXAKSjy4TLcJGnRjPkhPE1vbY3EKWKxVepP9mynLMPlGAw+Awy9yjC0ptJSrVZa1a07faqSu97RXLCPuxik3A/x+XP4fdH9CfywYH4YznaP/AIn+Xbt1NLj29ewGOen0PTgcjmlwD2xx6D8u/T8uBX5meiNwPT0/h/rt7/T8PQwPTv8A3f8AFcfn+dLj0GM47DH178j349KXAPb8OM9eT+Pfse2aAI3wF9z/ALP/ANj/AE9evSq7dvYenb/vkfh/Q9bEg4A6duQD05/D8ePQVWcYyODxzgAeuB7H8efwroor83+SXp1/A1hs/V/kivIe47bvzGeuAP1Pv1wTkTHvxnAP6/T1zz19+M1quw2k9AFPHv7fj9SfWseY9T1xx2JxjjjPB54x7Dsa+nyyHvQW9muj7LTezve1vmelh1rFNb2T+Vvv1/rTTEuzw+DnOTn6cHP59On8q+SP2wNWGj/s7fFa6L7PP0GLSwQcZOt6vp2i7R67lviCB6njuPrK7YYOD35zx1H4cdx6AV+e/wDwUK1sab8AZ9PL7T4j8Y+GtJ25xvW3N74gZSOpCnRFb0BAJIwK/rX6NuTPOfF7wxy9Q5oVuNuGaleNr3wuEzXB4zFpabLDYes3ukk3sm11Z9iPqfCvEOIvZ08kzFRe1qlXCzpUtd7+0nBH4s+CofM122GPukf+hDvtHv6nPTqa/XD4CWn/AB5cf88/6fXnr6mvym+G9v52uoQOFMfT3Y5/HoBX7CfASx/48uP+ef4dOB7+p/yP+jw/i4/YX4CWv/Hlx/zz7d+P169Mn3Ffq54Yi2aLZr0ymeg78eh/Q5Hc+n5mfASyP+g/L/zz6cenT29+/Hav1B0ePy9NtEx0hTt1yCentnGe9AGgVHTJ4/2f6gc/r+FFPwD1A/L8fT3ooAjDcdB1HtjBJ+vb3/Pr5d8UrXz9FZgM7UkHrjA6Z5yOfX8BmvUty/7Xvyf159q4/wAcW4udCuMAkoCcHngqw9T3oA/FH49af/x+/L/z07djnH5V8Z/Bm6+x+MvGGkscfa7Kw1CNfT7Dc3FrKwB9Rfwhv91Qfb9C/j1pf/H78v8AfHTB4Bz+lfmv4YuDo3xh0xThI9XttV0uQngEvbtfwqfd7jT4UX/aZRkZr8M+ktkL4k8CfEzLowdSdHhutnUIpXlzcOYnDcQe515uXLJJJayTcVe9n9l4fYxYHjPh6s3aNTHxwcu1swp1MBZ+V8SvR69D7Rsn4HPQfjkcDpz/APrro7c/KDjgD164xgH6EHt+VcpYvjAPqP1AIH4kHr/SumtjxjOMZ9ec4H0/i/nX/OBxDRcZz0vZv7nZemtut76n9Y4+Fm/+GXTT/htfI6CIjAA6A+uOCM4+vXP1NXI+OeeoxyAcdPxB9sD19azoCSOucgY5Gfl6j8v1575rQQnPXkgYXpgc49Mjp+Xpivy7Gx1enre/krfn6Xemh83WX5/mtfvaXzLMRIIGVPB6HJPfv7/5FTEj2Oc9+OnPr29Pr9ayFgQSBxjn1546evH1AHtVv/I6/rzzXi1Fqn5fjfy+Xy8rnFUVnr1trbzS9Ozf4bHb+HLzfZtbMTvtpPlBOMxy5dSSOTtfeM54AA5rf3seBgA59R3J6459QMHHPSvPNHufst9GScJMPJcZ4yxBjOTjGJNoz1Ck4713TuTjnnoeox68jGR26evtX7HwnmyxeTUacm3Wwf8Ass9dXCCToSs9bexcIXurypy32XjYqk41m4xb5/eVlfX7S+/X5khZRn5ue/OeMe+DnHH+HFI0vcDj+uD6jnI6+gH0BrlwM5znHA+bH4kk/wD6/wAcs3EjOdvA5zk46dPTt7dPp706711S/PXy/wA7mCi3u7fj+Wi++/kTtJzzx09B24xkD+XOB71H5hOcZPHYY68+2M9Se/vwKZx79s5KnjK+/T/HNIXAGBuOBx/nkf59M1yyr3vbV9G9unS69NHfq0aRjFNX1t3V29fu/BDjk99vHbH/ANbPOOe/Q9a+eP2q/wBmP4VftifAP4j/ALO3xl0gar4I+Iuhy6dPPEtuNX8OazAwu/D/AIv8O3M0cq2PiPwvrEVnrOkXTRyQG5tVtr6C7064vLOf6C3tz179B29ePfp378CoySeSpPXqcevb6dfX8q2y7OMxybMcDm2V43EZfmeWYzD4/L8dhKkqOJweNwlWniMLicPUg1KnWoVqUKtOad4zSaCpRhVpzpVIQnTqQlCcJ2cZQmuWUGno01o156n+Q3+23+x38Vv2Ev2jfH37OfxdsiNZ8KXv2vw54mtraaDRPiB4H1GWdvC/jvw40rSCTStds4W863E002jaxbar4e1B11TSL6KP7O/4JHf8FaPih/wTN+LbJcjV/HP7NHxB1S0Hxf8AhPDdKZoX2x2a/EPwAt5LHZaZ490WzWNJoHltNN8ZaTbR+H9dntpLfQdd8O/3Cf8ABZ3/AIJbeHP+Ckf7O8g8LWul6R+038JLPVdc+CXiy5MNoNbMsYudX+FniW/cIB4b8Ym3iGn3dy6r4Z8TxabrSSppr+ILHVf8xvxX4U8S+BfE/iLwV4y0LVPDHi7wlreqeG/E/hzW7ObT9Y0HX9FvZtO1bSNUsbhEntL/AE++t57W6t5UWSKaJ0YAiv8Ad/wO8U+CPpc+D+Y8Oca5fl+OzzD4OhlHH3DlTlp82IlG+B4lylQkq2Fw+Oq0XjMDicPKFfKc1oVsNTqf7Nh8RiPxTOctxnC2bU8Rg6k4UZTlVwOIXve7f38PVveM5QT5JxleNalKMmvelGP+w/8AA/44/Cz9pD4WeDfjV8FfGelePfht490mPWPDniTR5Q0M8LMYrqxvbaVYrzStZ0q7jn03W9E1OC11XRtVtbrTdStLa8tpoE9V3Ad+4yMA9APwHT14BBr/AC3P+CUf/BWv4yf8Ezvicy2o1H4gfs4+NtVtZfiv8G5r7ZHI+2K1fxz4BlunFroPj/TLKNIy5MOleK9PtodD8Rbfs+i6zoH+lL+zd+0x8F/2tvhB4V+OfwF8bab46+H3i23LWt/ZMYtQ0jU4UiOo+G/E2kyH7boHifRpZVt9W0TUoobu1do5VWW0uLW5uP8AKL6S/wBGrivwAz91bYnO/D/N8VOHDnFUaN1CT5qscmz1Uoqjgs6oUoy5JWhhs1oU54zAKMqeMweB/TeHeIMNntG140MdSiniMLfV2snWoXd50W35ypSahO94zn75vPA4xj15x3OOhzj8B+sbOBzkE/XPbjn8v1HaoS7E8dvc8/h+ZwPQj0qM57nPUEDOM9vbjj0x7mv5XlW8/Tq+mvZd9d/M+mUEu5MZOMjGR/jjjPGPU/rTCzEY3AA56nJ7cg/kcfQ/SMyBc469RnPPXg89icZPB659I97sOAQD6nI/DP8A9euedbz2v5v7tl/Wug9vJKyX9f1/nLnb1IJwCBz6gnn8uTnt24phlA4GCMAdOeg5HbPTvxgd6jIPck/y6885x3OM4464FJuAHHB464znI9vcjn2wOtYSrr1/H8FovvH19R25mxjA6jPB+gz/AExkDpxTOTycHv2OO/PI9Onpnjg00u3OAT7knA6++ePzPrzy0sx6g8DP3vUH/P1H0rnlW7tdt0320WiK5H2+be17fPyt3HswA69OpAxnqB09QemPXmkLk54brkj0ye+cfX9eKjz2Knuep/2v58/Xng927gO2PXk/4+mf88Vzyrr1/T5LT7mWoLrr+HbR9fP+tXlwc9ecjt+PPPP59vWkJGB14we3PCnHXPp6/jgVE0g7dj2JOPqc989R/wDWqJpeeoHbrk9+voOlc8qr72X4v+tL/iykrf8AAuu3n5f1rewWUHOf7vUgdB0/QZ/lwDUZlUcjOMeoA/PA9ux7c+lYvnnd/M59Oo45JzjnHqejcnn5se2CMHuOnH6571hKqr7/AH312Wny3v69AstfXr8u/otu3kTNKT/EO/f6nrg/y5+vWMtjOOevUjrx+JHf9OOzDx3z6cnvn2/P6keuDd19/wBDk+mM8E/j7cVjOvbd6aeXa1t29X8mUk5Wtf8Ar1HnnPzduBkE9Oc8/wBfcnHFNJA9x3xg9Ap/Lgj9famZJ5JP0/z/AJ9qTGPU9+fyP+OPXp7c0667/mu3Tfzs9d7FKm+rfokvzt99vOwpkA6dsd+T0wcZxyAD3HHrQT757D8eg9vw7U3B6evfoew65z0yec+lBwOc/qe/pz6dMfhXNKu3snutvO2+uib2vLzWhailsvwV29Nb/IQ9+R79D2IHBwB9B1JI6UhGCfQ8/o2Bjv8A179aa0gHAOeD79sg9f1P8hkMLkj6579PvdODx1wT178Vk56K7e1rden/AAHq77FbdPw9P+AS5Xvk5+h6+nAxjOeg5+hAYZBwVGcnJ7Z5A9B0J6Z56n3ZuJxx1x1P/wBbrjn/AOuMUvpnHT1PXrwD1+vWs5VbeT+/8LfjsA0ux9R0yO/8I6ev4DPB6ikGSMduCckfmecn2z2HHPNPA4+uCR74H8sUvT/P+e39BWLrPpfdatddLWVvxvbv1uX6fp6eX66/eRgdzg8cDI7Y6n8D68ZHsXcc8jv39yfX8Tg/yFO/z1P86Tnn/E9j+mfb9c1m5OW7+W3p/TC99fT8lp91gyD3HpwfbP5/yFBI9R784xn/ADx+nWj/AD0P49z+Apantv8AO7fT1t0v9/cV0r+qT9Xb/MQnjt0z17fXH15+n4NyOnbj+Ie3PXPGOO/HvT8fX8/8+lJz/n6dTgfpwPcGj+vy/Dv07gmum33LZfo1/SEyPQZ6kZHX09zkDnH49qMjPGPbkfTpkcH0z17d6U59QOv9cfXt+Io55/8Ar++fU9MYx+lHb/gv8f6+64/1/wCB/WoHpxg/j0GMg/4dPqOtGfp6Dn6f579R60v+T1/Qf/q9eaP8/wCf8+1C+fTv5b/r879RWXbrfbr3/wCCNBHtz7jrwMDHXjpx6dyaXI65Hfvxnjv/APW/+uv+f8f/ANfPekwf857dO/fv+WT1DDR2e3bReVvv0/4daHHr69/xP+e1Gfp7c9ev/wBb6c46cr/n0opbf16d/L+rhpp26K2m6t07tfeNJHXg9cc9e3fjp9cc/iZB9PfJB45PTJ6HGPrS4/8A1du/19f0FHPP/wBf2z9OPTPP40af0/6/r1C/r93e3+f59hMjrx+Yz7d/c454H5UAj2HU9QRn2544yeg7++Vwe57/AOH5dDx055zXgn7S/wC0z8GP2Rfg/wCKPjj8efGNl4M8BeFrf95cSkT6tr2rzRytpnhfwrpCut1r3ifWpYXg0vSbMGWTbNd3L2unWl9e23flWVZlnmZ4DJsmwGMzXNs0xdDAZdluAw9bF43HY3FVIUcPhcLhqMZ1a+Ir1ZwhSpU4SnOcrRTbZFWpSo051a04U6VOMqlSpUlGEIQj70pylJpRjFK8m3pa5d/aK/aK+EP7Knwh8YfHL44+LrHwZ8PfBWntd6jqFywkvdSvJAU03w/4f05WW41rxJrl3tsNF0azV7q+u5AqiOFJpo/80X/gp5/wUv8Aix/wUk+N83jXxMb3wp8IPB82oab8GPhKl6ZtP8I6FcSqs2taz5LC11Xx34kjgtrjxJrIQpGIrXRdMMekaZaI2r/wVC/4KjfGH/gpP8Wxrevm98FfA7wZfXsfwh+DtvfNNY6FaSl4G8UeKpIWW217x/rNrgalqhQ2mk2rnRNCSGxW6uNR/Pr4V/C3x/8AG34jeDfhL8LPC+p+M/iH4/16x8NeE/DOkRCW91TVb+TZGm52SC1tLeMS3mo6jeSwafpenW91qWo3NtY2txcR/wDQF9Db6HmT/R9ySXid4m/2bV8TcTleIxNeriq+HllPhzkssNKpjcLh8bObwrzaWFVRZ/nsaioYbDqtlmXVvqCx2NzX8P4s4qq57WWW5d7RZdGpGMVGLVXH1lK0JSglzey57ewo2vKVqk1z8kKX0V+wd+xP8VP2+v2jPB/wB+F9tJarqUg1nx740mtJLnRvhz8PtPuLdPEPjDWAjRpJ9ljuIbHRdNae3k13xFfaTosM8D332iH/AFGv2a/2dfhb+yf8Efh/8Afg5oceg+Avh1okWladG3lPqWrXru1zrPiXX7uKKEah4i8S6rNd61rt+Y41uNRvJzDDBbLBbw/Gv/BKn/gmx4C/4Jv/ALPFl4ItP7N8R/GrxymneIfjl8R7aA51/wASxW8gtfDWhTzxR3kXgfwYt1dad4ct5kge/nm1PxHd2lnf65c2lt+n3P8ATufp3/P+fGa/zT+m59KrEeP/ABrHhzhbFV6fhVwbjK8Mhpr2lFcTZtFTw+J4sxtGSjL2dSnKphchw9ePtcJls6uInDD4rM8bh6X6Fwfw1HI8I6+JjF5li4xdd6P6vSdpRwsJbNqVpVpRdp1UopyjThJnH6+vvz+Xp+HSjP06+uefT+fH0/BaK/hrtu9rPvtq/wDg9n03+x0/Httt5ef4voMyB255z8w659yD26cemKXIAHTtj5h0+uc4B479OlL0Hrx+P6DP49aDnB6dPf3/AJcfXnp2NP8Ahv8Agfj079Quv6+VtN+q6afcISPQfmBx2PXrgAjpgdDS5+mTnjjn9T2xRz/n05/+tR/Pnucf5/D6Uf13/r+mDt+X5r9bX/zIZDyBkDHYnHfsRzjHHb6DpVdu/PJOByD7DP8AicZ7ZJqV2YluM++OMcevHTPrVeQ5wCeO4yf8D+PB6dyCa7KC2trtp66vS39djogtEu9u3X7vx+8rTHIY+u0HnnrzyeMen1/CsacgBjn+9kYweT6fh7elak7YA5x94kA54/8Arg5GfzzWNcEgHA5HB/DJ/T8+K+vyqm3OC1d+Vaf4o+vX1svU9XDRvJb67/fp+SMG9bAPIGAfzxgH3649vx4/Jb/gpl4g8vSPhb4WRwxvdT8Sa9cRjkoNMtNN0+ykcZA/ef2tfCNhn/Uy8ev6xX79ep5A4x0ySD27D39utfhL/wAFD/Eo1f44afocUhaHwr4M0mzljU52ahqt3qGszsR/Cz2F3pYx1wgJ4YCv9EvoJ8OSzfx14axUoc9Hh7LM+z2urKyUMrrZXhpy6x5MdmuEmn1nGK6ni+JmMWC4FzGnflnjq2BwNP1liKWJqR8+ahh60bdr7nzl8IbQzaqJCpP74dRz8uOnJ4yTj8K/Zf4Cad/x5fL0Efbucf8A1jX5M/A3TjJPA5BJaQHJHZj19+w61+03wF0w/wChfL2j7ehGa/3UP5NP1t+Aun/8eQ294x+Axn/69fotbjy7eJAMbY4x64IQDv37fTnHBz8T/AXTObL5R1Ttxzg8/wBa+3wVx34AHBI7HpyOMA+lADW5OfUn3+nc/wCR6UU4lO4P5/8A1/aigBwVfbrnv2zjv9R+dZWt26z6XeR4yTCzY78c9/yPFaYb3OeBnj3Pv24Oeh6nuI5h5kbxnkOjjpgHcpA69ucdM8cHnFAH5W/HnSf+P35f+enb3P8AM9Oelfj58RXPh3xfo2u8oula7p99M3TNvDeRtcoSMHbJbiWM852sxFfut8edG/4/fk/56ds+v5k9/wAhxzX4sfHnRc/bfk/56dvr1+v/AOrAGa4czy/DZtluYZVjIe0weZ4HF5fioae/hsbQqYavDW696lUktU1rqbYavUwuIoYqk+Wrhq1KvSfapRnGpB/KUUz6hsJAQpGMFQQcg5x90+mDnOeemRmustWGV7kgAD6d/cZ/zzXi/wAL9b/t7wT4X1Nn3zTaVawXTE5zeWQOn3xJ/wCvu2mOD07knmvXrV8hTnpx6e3bPXHPXr+X/MV4h5BiuH8+zzIsbHlxmS5pmGU4uLurYrLcXVwdeLi9VatQndPXS2vX+36laljsJhsdRd6GMw1DF0Xe96WIowq07PzhKN316eXS27YIB9Tj/gXfP1GP886SHgE9Omc46+ntjsc+3TFY0JOeMDv16YPHf0Na6YPPqMgH3xk89wK/C8xp2lK99+t9L2s/xt6+Z89iI6ve9tvNWdrersW1PHc47Y7nnr6/zyO9WgcgH1qmpHHHX1x3wOuPrxkj+YsxnIx6e2P0P+fyr5ystW10f52v/wAA8+otnrv017fd/wAOSfiR7jqMdx6H37V3Fjcfa7aOXcS2Nsg7iRchjg4wDw2PRh7Vw9a+kXPlTmBjhJ8bSeglA4wO25QQemWCD1r3uF8yeBx6oznajjVGjLXRVU06M36ycqd1sqt3sceIhz02+sNdt9r/AOa81Y63cFz83Qn079D1wB/M54pjSHPGO3UjtyMce/fnPtUfI9PxDdyeuenU/n6UhYc8AnpkD8OT+fTPpnuf0mVaKv8Ajsr7PZK/z/4LOD+vXW3z+QpY9cg4B4z0HHt6+vrx3oyfoCDzuz39upH5n1zUZfrggfTGcHA6k+mMYx681Gz+4Pv78YB5/Udew4555V/O3z/Ra/j1++lGXVWT738r6J77PXsiYso9ePUkDuOvHrjsT+eWFyc84A4I3cHIP1Of19M4xUBdug78e3Tqep9s+1MJODlhz1x7g+pySD/X3xzSr9L/ANeaX6lKC6tv8unT5W9CXfjuM47j0/HPr+PtzX8nf/Bw5/wR6f47+Htc/bs/Zn8LGf4zeDNFW4+O/gLQrMtd/FXwVodmI18eaLZW6F734geC9Ktkh1ezjR7rxZ4SsohaF9b8O2Nhr/8AV5lRzkHA4yCBnp69enbHA5HWo2kB+XGeCMAZBGMY9fr1BHbrX6J4TeLfFPg1xxlPHXCmIUMZgJujj8vrTnHAZ5lFacHj8mzGnB3qYXFwhFxmk6uFxVPDY7DuOKwtGceDNMsw2bYKrgsTD3Ki5oVElz0asV7lam3qpxbas7KcXKEvdk0/8YCv0N/4J1/8FKv2hP8Agm78Wk8e/CTVP7d8C+ILiyg+Kfwb129uU8F/EXRrZyoM6RrMdB8WadC8x8OeMtOt31HSJne3u4NW0G71XQtS/bP/AIOBf+CMr/BDW/En7cn7LXhMr8GPEupS6p8dfht4fsv3Pwm8S6pcgzePvDun2se22+G/iS/nzrmnQIsHgjX7nz7VY/C2rQ2nhf8Ak/r/AKFuB+MvDP6TXhVHMqGDwXEHCvEuEnlvEPDeawp1q+V5jCFOeMybNKMWp4bMcBVlSr4XF0JU5uLwebZbXUKuFxB+E4zCZjw7mfs3OdDE4eSqUMRSbUatNtqFam2rSpzScZQkmr89KpG6lE/1ov2FP+Cgv7PH/BQv4RWvxS+A/icSX9ilnbeP/hvrUlta+P8A4Z69dRM/9keKdHiml3Wlw0VwdE8SWD3OgeILeCd9OvnubTULOy+2vvDluMdAD6Z56env3xjiv8gH9mj9qD45fshfFnQPjV+z9491bwD480B/LN1YuJ9K17SJZYpb7w14r0S436Z4k8Nan5MQvtH1S3ntnkit7yAW+oWlnd2/+hj/AMErf+C4HwI/4KFaVpHw18bvo/wX/astrFV1L4Z6hqBj8N/ESe0g33utfCHVtRmMuqRvHHLfXfgjUJ5fFuhW4ufJbxHpGm3PiN/8g/pS/Qr4n8H6mYcZ8A08dxV4Zc08RiYxg8TnvB1Ny5pU84pUYKeOyekr+yz2jTth6cXDN6WGcKeMxv6nw1xdh81VPB41wwuY6Rjqo0MW9Fek3pCq3q6D3etJyV4Q/csgdiPqc8jntj/OKYW7YyT0/X1OOcfkOlR7m9j39cYPfn9fpzmgufbtzjnI/T9OM1/AU63S/wDXotX8z7lQaf321t262v1s9F+Q7efTsTjOOAf5jnI9s+1G44zj6/8Ajpz0HGCc4B9qjLgdcdMdOw/z/hjjEZk44+nPTj8T3Az9McVzyrN9kvP5b/f1fUtJb2106tv7/wCrk27HT278Y9sgHn1OaaZPUjj6Z9O3pk1UaTPGfyAI/n703fnOM5x+HGc8Z9Pr+lc8qi3bu7LyX4/8HXfULer+fn/Xy0XYsGUngZH157/lz17moi5PXPc444xx0HHr+fpnDM9CcjGOBjk857885/P3zRvUcgck/T35P+f5VjKtbyS7WS6ddfy+Q9eibfZf1ZfOyA5bBHv9RyR2598e3c5owBjJPUHB/Dt16ZHp2JFMLE9T/T+VJ17n15+ue4/+v+PNc8q/n+l311f6LyuUoN2u0ttFq/NXTt10f4MXOAcc/h6gZwT+Xp70Zznt0zxjp/ntxTfX/wDV265H+c59sL/n0/rXLPEPWyv33W9ur18r2WvTe2ihFefrZ9ulrdOiEx3HU/UZ4OB7f/Wo/wA/TrjrxnHX/DFMLKBwenY4wRnnnGOnOf8A6+WmQ9h/LI5PPOBzg/5NYuq3fW3zs+m+76u++xRKSAM/5+n1ppkUe+enX9fTn6/rUBYnk5PpyPrge2OeM9cDNGTxxzg+g549z1+v4Htm6i9L935a9v613AVpHPQEcY6Hr6/5/l1jy/AIPr0689+3H044PpUmPwxwMY9j3Ht/nsvT/wCv/n+XFZOutk09u2u3e/5Dv5L8f8yMKxJJ46g9e+c/rz6c+2KeAR3z6Z7df8cf/W4paQ9D178ce/t/nA985ucpbvTS1vRdd369hXb8ui9Pvfn/AJC0nXHJ654/Pt2+v86WkIzj2Pb/AAP/AOsdqzv3a1atZ+jt8/yYu35W9N/T+tg5z1HHX9Pf6/TPel/z6f8A16T9enp7c/1pafTf5/n/AF+Y/wCv61/rswooooXqvXy0f/DeVtxL57rprql/T7a9goooo12uv6tfu779eqvcPl8uu/k/vCiiijV9VbTb1Wnzd19wK/X+tvN+f9asoooove2q21/Dy7fmvUHp5vyXp5/r99gooopL1XTrft376/g97j/r8vP1/rcooopr1V9v617Xdul/W61/4bbp5/dt17XCiiii/VtdP06/fbvoGv8AXy8/6t10uUUV+Nn/AAVG/wCCy/wC/wCCdXh++8HafLp3xa/ae1TTRN4Y+Duk6kv2bwz9sg8yw8SfFfVLNpH8L6EEeK8s9DQ/8JT4njeBNMtLLSri58R6b9jwD4f8ZeJ/E+XcHcC5DjuI+Iczmo4fA4GmnGnRi4Ktjcdiajhhsvy/DKSnisfjK1DB4aDUq1WN1flx2OwmXYapi8bXhh6FP4pz6vpCEVeVSpLVQhBOcn8MXZn2P+3B+3f+z7+wD8IL34tfHbxOto1wt1Z+BvAOkPb3Xjr4k+IbeFZF0Lwlo0k0LTCMy27avrd49toXh+2niudXv7YT2sdx/m8f8FD/APgpB8fP+CjXxck8ffFbUToXgfQJ763+Fvwf0W9uJfB/w70W5kAPkrIsB13xXqUMUDeJPGF/bR3+rzxR29rb6VoVnpOh6b4N+1L+1d8dv2y/i3rnxq/aC8cX/jTxlq5NvZxNm08PeFNDSaWax8LeDdBidrHw94c00zSfZrC0Uy3FxJcanqlzqOsXt/qN186qrOyois7uwVEUFmZmOFVVAJZmJAAAJJOAM1/0H/RM+hdwp9HrA0OJ+IZYLirxYxmFcMZn3snPLeGaWIp8uJyrhWniIRqQ54ylQxueVqdLMMwp89KnTwGCrVsHV/C+KOLsTns3hqCnhsshK8aDdqmIcXeNXEuLadmlKFGLcKbs26k1Gat6Zpmpa1qWn6Po+n3uravq19aaZpWl6baz32o6lqV/PHa2On2Flaxy3N5e3lzLFb2trbxST3E8kcMUbyOqn/Q7/wCCG/8AwSBsf2GPh7B8ffjpotneftZ/EzQkSWxuFt7yP4H+C9TjinPgjSp1MsR8Z6tH5Unj7W7VysDrH4T0iVtNstV1LxJ8vf8ABBv/AIIrH4GWXhr9tP8Aax8KhfjTqtnFqvwU+Fev2YMvwj0m/t91v448Wadcxkw/E3VLSXdomkXEYl8A6dObm9RPGV39n8J/1Y4wMDj0r+G/p8fTLhxlWzLwQ8Ks2U+E8JXlhuO+KcBWvT4nxmGqLn4dynE0pWqcPYOtC2Z42nJwzvFwWGw7eU4edTN/s+CeEnhFTzjMqdsVOPNgsNUjrhoSWmIqxe2InF/u4v8AgxfNJe1klSKKKK/yi1Wl10Wu/T8dX96P0vX8v+D1/X7+pRRRRfZ3W3fR6rb8UvNof9f1r8vXyCiiinfW11fqr/ls9r/h5i6/8D03fl5foFITgE+lLTJCAp9T0+vX+lNataqzaWnyv19e/QFd207dvLz9f63gJODgdeBngdM85Ppn8sH3rOevJ6Dt1HbPuMHgZ9u9TsRwf5Ec+2OTjPXI/A5qq2eM9+cA+nH45xx269RyfRw0byVu6t5apflf5banXTWq6abN+i9Oz/Eo3DdQO2Fx09yPofy44PWsS6b0PQEgkfljPv7e2e1akzZYnOOp7454Bx7jr7VhXTfeY9Qev54Pv6dK+7yWjecNNOZO3R/Cl5re/c9rBxbkl2aXk72V/T5M5+9fJPP948+nQdPTnHfjvg1/NR+0X4pHjP45/FDXkk86GbxdqWnWcoO5ZbDQnXQNPkTk4SSz0yB1HQBuec1/Qz8U/FsXgfwD418YSsgHhrwzrWsRhyMSXNhp9xPaQDPBe5u1it41ON0kirkZNfzE2glvtRj8x3lluLkSSyOSzyu7mSR3JHLOxLMTyWJ5x0/2J/ZycKNVvEHjKrTssPgsp4ZwNVq/O8ZWq5pmdNS6eyWAyiUlu/axvblV/wAu8a8eoYPIMpjLWrWxWZVo31iqNOGGwzavtL6xikrr7L1Z9nfAbSD/AKF8v/PPPHrjI7dfXsa/an4C6TzZfLz+77dOn6HofQ+tflZ8B9FObL5P+efbPp+n17Yzjqf2n+A2in/Qvl6+X278D/6388Hk/wCpZ/Ph+qPwM0wRw27leEjBzjHReD9QeP6V9PbR6cfU/wCPv/P8fIPhLp4tdKEhXH7tBz7geuPTA9+vSvXQc554GMckYznAPp1wT2wMdjQA7avp+p/xoppYDGM9OxHTsOhxjnj0xn2KAF2rzhj+Y9/b0z/Wk2r/AHvryPf/AD+NO2Ac85/D/DFJsHqfzH+FAHyp8dNG82O5kCDDoz9P7wJ68/T6c9Bgfi98eNCP+m/J/wA9O3Xr/n+ucGv3y+K+lC70lpQu4iNl6Z6Zx2//AFcepr8d/jv4f/4/fk/56duO/t0/HofagD5D/Z11YtpPiLw1K2ZdD1s3UCZxssdYjMsYAPP/AB+2uoOSOMyDIB5P1ZZvuAGcZAP4nkn8MHt9K+EPh1qB8L/F6OylPl2viayvNKYMdqfbIMahZOT/AH2+zT2sYPDPdlcZIr7jsZOnP5cZB54/HP4etf4S/Th4GfC3jZxJiqVH2eB4tw2C4rwbUXyynmFN4bNJOSVnOedYHMqr0uo1oc295/1p4b5l/a3BWXxcuatlcq2V1ru7Sw8o1MNZbpRwdXDQXRyjK3ZdbA2Qp7cfX3J785/StmJgQO+3gjnGD04OO3T/AArnrVh09DnA7g+/Yd/wz6VtW5yOepH/AKCRz9Tgk+uOe1f56ZrR5ZyVu6utm9PPquvlc9jEws39/rtr87v08rGkmDx0wR1yMjuQOgz29fXtVmPAPHfr1z+vP/1jnvVNCOMdxz3J6c9OABwORzwPU2VJODnvyMA9+n+e2Px+Rrws2tbWta/Xya8/y32PKnHeOlvP1TXT+u3a1x7f5OP55/GgMVIYMAQQVYHBBByCPccfjTMrjt69B356fTjPr78UmQMcjp12+59wec9vTPrXErppptNO6d3dNbNPdWOey7L7l/XQ7K3uhcwrKCA2MODzhxwwGDkDuOvBGcU8yDIyByMHPT19fpjvk1zlhcCOXy3OY5D2x8rjhT16HIU49ieBW4ZFB428HH9M5Ht68Z7+n6NluZLG4SFST/ewtTrLRfvIpe90sqitNWVk24q/LpxTp+zk0lvrHzv067PS3ztqSlicDcuO3AyMYP48denY0zcBkk7sdeOgyOnPPTIwDzzx3gMhJxwRnI9ckf54/Dg03Oc53Hj0GBjr19PXg/nXRKtur7+iX39vvJs3oiUyDGB7DA6+mOee31x1yKZuck8EcdcH/A9sdufqaZkADgYz0Jyfbntk9sdvQ00sR0B5B9uob6cj6cenY4Sr/d3vb8/n2Gk3sv603+X6DyPXccfXGPxHXvjp79qQsMcZGOMc9O5GD16cc/iahJbjnAOOMdOnr7n1o+fucDk5x/TGffpwOvpXNOtbZrt6bdd/x2e9t7UGra2Sta2/3bL8UvQo6zpWk+ItK1XQNe0rT9a0LXNOvdJ1nRtWs7fUNL1fSdTt5LLUdN1LT7uKa1vtPv7Saa2vLS5ilt7m3lkhmjaORlP+d5/wXC/4Iy6z+wx4z1H9of4AaLqGs/si+ONbBubC3W41C9+AnifWLnEHhPXJmM1xN4C1W7lEHgbxPduzWk0kPg/xBOdWTRNU8Vf6KG4jvzyOMdcg57cH9f5cp428HeEfiN4R8SeAvHvh3RvGHgvxfouoeHvFHhfxBYwanomvaHqts9pqGl6nY3KSQXNpdW8jxyxyKeDuUq4Vh+9/R2+kVxV9Hvjann+TqpmXDeZyoYXi/hadZ08LneXU5txq0XJShhc5y9VKtXK8fyXpTnVw1dVcFisVRqeJn/D+Fz3BuhUtTxFNSlhcSleVGo0tJdZUalkqtPTmVpRtOEJL/G3q7pmp6louo2GsaPqF7pOr6Ve2upaXqmmXc9hqOm6jZTpc2V/YX1rJFc2d7aXMUdxa3VvLHPbzxpLFIkiKw/dv/gs3/wAEaPGH/BPvxpefGD4PWWseL/2QfGmslNF1dzPqmsfBvWtTnJtvAfjq6w802jzTObbwX4xuiV1WJYtE1yZfEccFzr34L1/0W+HfiJwf4s8H5XxpwXmdDOMgzig7O0ViMHiIxisZlWa4RynLB5jgpz9jjMHVvytxqU5VcNVo1qv4Hj8Bi8rxdTB4unKjXoy/7dlH7FWlPRTpzSvCa9HaSaX9f/8AwS0/4OUNa8IJ4d+Bf/BQ271LxR4ajFrpHhv9prT7KfUfFWiQIEgtoPjBolhFLeeLNPijCq/jjQbWbxVGI1k1/R/E9zd3euWn9oHgjx94L+JnhLQfHvw78WeHfG/gnxTp8OreHPFnhTV7HXfD+t6bcZ8q90zVtNnuLK8gYhkLwStskR4n2yI6L/jgV+i/7A//AAVF/av/AOCeHikXvwZ8Y/2z8N9T1BLzxj8EvGj3erfDbxRu8tLq8h05biK68K+JJIY41j8U+F7jTdUc29rBqx1jSoZNKm/gn6Sf7PfhzjmWYcYeDDy/g3iyq6mKxvCdZfVuEs9rO85yy72UJLhrMKzulCjSnklep7OMsNlbniMdL7fh7jvEYL2eEzfnxeFilCGKXvYqhHRL2l3/ALRTXVtqslf3qlowX+qcWJJA49CT15HP06+uf0pOW5Jx09P9nJJyPY/p6V+Qn/BPD/gtJ+yN/wAFA7LS/C2ja9H8Hvj9NAn9o/A34hanZQavqV6sYe4f4ceJGWy0n4i2ClJpI4NNhsPFcFrBLear4T0y1CTyfrqXJAJBxgegHb+nc+nscf4u8ccFcY+HOf4vhfjnh3M+GM+wX8bL80w8qNSdLmlGGKwtZOeFx+CrOEnh8fgq2IwWJinPD16kfeP1zBYvDZjQhicFXpYihO1qlOSkr6NxlFPmhUV7SpzUZxekop6EgIHb19D7dsdvX8MZBCFvbGB/QA4z7Dvxg8etRFl5GCc46k/48fh1+lJyx7cgnqR6jJJ64zjjjtwK+LlXv1/X7tkdyprr+OivpstfJ9e5IT0yR/ieh7/T1/wMj1H5ioieT3HPc98+/ufr+PLdwySOevHU/wCe3v36kVzyqSa1bS83r827W+VikkuveyTsumlrevdX/GfI9R+YoLAdx2/L8PbpVZmIz29OPY9fxHH585NJnnkjtycf7J9/c+nvxxi5rfe3Xbt39NdPQfp+nlf8dv8AhyVpT2U8H0OPof8AEVGXc5649Omeuc8foMH69aQEeo9u3b0B5HPtjnOMDAWGeox6YJ/+t+XUe+DWcqvbddvl1+XT0YXXb7/l6dn8mJkn2zuz+O/r+XYfXtThwScj/LMf/rfXPXFJkc5I/If7We5PfuM+o5NGR1yOD3A9SRzkDn/6/GaydST8vzd+73Yh2F56c888/U8/h+lL+P8Anj/EfnUYx0yuSOPl5HHtxnrx6/lSgr6jr6AdSO34dfxqN+/3v/P/AIYLf8P/AF6Ds+4/zj6+v6ilpmR6jt2H+z+n8vwFHHHI74IXvwfyxjP06ii3X9X+WwrLsvuHZHqPzoz7j/Oc/wAvbofSmZHt0/u8/dOMnp9AOvTpSkjnkdTxgHu3+f8A9eKLf1d/10/q7CyX5jsj1H50ZHqPz/D+fFN49V/AD6diffPse3FICOxH/fPv6kj8yfTHNKy8/vf+YWXZfch+fcf5x3/H8cijI9R+dNyMDkduw/2c/wCc8fgKTjjlecfwj04JyfTpx+Xct6/ewsuy+4fx6+vP8/8A69Lkev8AkdfyqP5euRjp93v+Occf1/AOOeQe/QE9fXp+ftwe7tb/AIdv8w5V5dOi6W8v66ElFMOPVePYHjPT8Bx/iehke3Ug/L3GefUjHXn06ZNK3r97Cy7L7kOJGOoPHTI5pcgdSBUeRz06Z+5xjg89/p+ueKOPVc/7o+nrj3/xFFvX73+WwWXZfch+R6j86Mj1H50w7fUeo+XP8vyOfbgHmjK+o/Fc/wD1vf6+3FFvX73/AJhZdl9y/wAh+R6j86XI9RTPl7Ffb5R+Of69McfinHcrxx90c8Dpgn/PboKLddfvf5XsFl2X3Ik49u//ANf+uaMj1/yOv5UzgHBx16bcc/54/wAk0DGR06ZzgDp16+2eRgdevZ2/q7Cy3svuXqPrI1/xBoPhTRNW8S+KNa0nw54c0HT7rVtc1/XtRs9I0XR9LsYXuL3UtU1TUJrey0+ws7eN57q7u54reCFHklkVFJH5z/t8/wDBVz9kf/gnroV1F8VvGMfir4tXFh9q8N/ArwJNZat8RNWaeLfY3WtW/nrZeCPD1yxV/wC3vFU9jHdW0dy2g2ev31ubCT+Cv/goj/wV8/as/wCCiOsXWj+NNbHw1+Bdtfi68O/AbwNqF5D4VT7PLvsdQ8b6mwttQ+IfiK3CQut/rUUGjWF0j3Phzw54fa4uUm/sX6OX0KvFTx+r4POJYWrwT4dTqQniONM7wlVf2jh1JKcOFsqnKhiM9rSSlFYtVMNk1KUKsa2ZfWKawtX5PP8Ai3K8jjOkpRxePSaWDoyj7ktGniaqUo0Vt7lpVWmmqdnzL95/+CpX/ByNaWieIvgV/wAE8b5L29Iu9G8T/tP31iGsrQ4aC8t/gxomowkX0wO6FPiDr9oLJNs03hfRL9ZdK8Vw/wAbfiHxDr/i3XdX8UeKtb1fxL4l8Qajeaxr3iDX9RvNX1vWtW1Cd7m/1PVtV1Ca4vtQ1C9uZJJ7q8u55ri4md5JZHdiTj1LBBNczQ21tDLcXFxLHBBBBG8s080riOKGGKMM8ksjsqRxorO7sFUEkCv98fBTwC8NPADhr+wOAcmhhq1enSlnnEmYOniuIuIa9GLtiM2zL2dK9Km3OeHy/C08LlmCdSo8Lg6MqtadT8TzjPMxzzEe3x1bmjFtUcPTvHD0Iv7NKnd2bslKcnKpOy5ptJJRgEkAAkkgAAZJJ4AAHJJPAA61/az/AMEKv+CHb+D28Iftr/tmeEAvizFj4l+AvwR8SWQ3eFchbvSfib8RdJu4/l8UEGC/8FeFLyPd4ZAh8Q63CPEZ02y8Pa3/AARJ/wCCECfDl/CX7YH7bnhJJPiChsvEfwa+AniG0EkXgJ/kutL8efE7S7hDHN43T91d+G/Bt5G8Pg1vK1XX4X8Xpbab4T/rkBXPVf8AvnH8/wDPP0r/ADK+nB9OeGY0848GfBTOObATVfLeOOPctr+7jo+9SxfDfC+LpS97BS96hm+d0J8uNj7TA5bOWClXxWL/AETg3gx03SzfOKVpq1TBYGpH4OsMRiYPaa0lSoyV4O06i5+WMH5HqPbkUvH8v/rfr0qPgDqP++Rnpz1I9eR68e1LxzyvHPC54/zj6frX+PtvX73/AJn6pZdl9yH5Hr/n/JH50VHlT3GRgfd68HHHX9e3SlGMdVHPTjjGeevfgd+O/ei3r97/AM/L+rsLL5drK3Ty8h9Jkeo/Om5HtwOoUdOQfbk9OgyR1zRkZzx1/u85z6nv6/pg0W9fvf8AXT8+7Cy7L7kOBGOw69/r/wDroyPUfmKZ8vqvp93GD+PoR3/HtR8vqvoeB9ex6fQ9QOetFvX73/n/AF94WXZell5eXl/Wln5HqPzqKTBOD2weuME9+D/OnZX1H/fP6/59+xGIX5yc8dQMA9enJ+v5VpTjeX4at7uy/r/glQSTW34Lt2S1f569LET4xx7jAJ+gyc9z6dM596qSthT0HAXjrk9c+4B9fyqd+o9gfbt688ggnn9OlUbhsDHT+Ij15wOnHb8OOPT2sHTbknvqvV2atf8APbW53UY3d9d/yt0666f0zPnfGcdO3fjgEc/zArnrt8L6dScH8T1P4/4Ctm4cAYGOvHJzjOOcY54/qOma5q+kHPPt/XOD7DHHf0r9K4fwzlOGj3Svb02+fl+KPocDTu438vlslb830012PgT/AIKCeNh4c+Bk2gQzBL3x14g0rRAobEn9nWEh17UZRyD5W/TbOynwTlL8IQQ5r8WfBNgbzW7dcblRlJxyMk8c9uM//rxX3D/wUW8dDXfin4d8D283mWvgjw99qvIweI9b8TvFeTI6jqV0az0SWMtyPtMgAAOW+YPg/o5u9RWfZkNKoBA7KccY9wT+A5r/AKFfoc8GPg7wI4YnWo+xxvFdbG8W4tONm4ZnKnh8rld2co1MkwOWVo6JJ1ZWT1lL+ZPFPNFmfGOOpwlzUcrpUMqpa3tLDxlUxStsnHGVsRB9+RbbL9JfgPoWPsXyf88+30/+v+PTua/aX4D6Ef8AQ/k/55/0/wA/T0HB/MX4EeH/APjy+T/nn2+nHQcev0PrX7R/AjQD/oZ2f3OcY9PT0z9AfoK/qQ/Oj788G2S2miWykbS6hvqFUDuOcc5/X0HVbV9ePqOvPt+X41WsrcQWlvDyPLiUYHb5QT9OSffH04tbB7/p/hQAhVcnLc9+R/hRS7B6n9P8KKAAH8+PXpzjPJ7c59xn1pS2B78nBznv2AHHue3XBpNnBGeuO3pnjr/nFJs9/wBP/r0AYHiezF/pF1HjcQjMvqDjBH5HPHp0BBNflh8dvDh/0z9318zt9ev5/TOK/WySESRvGTkOjIeOzAj1618IfHXw1/x+fuyf9Yenb/DH9PTgA/n4+LNpd+H9btNesV23mj6lbapbHlf31jcpcxqxA+6zJtcYIZSVIOSK+3fDurW2saZpurWT77PVLG0v7V+AWt7yCO5hyBnBMcgDDJwSQema8M+Ovhk/6Z+7/wCenGPYj+Yqv+zh4kN/4RuvDlw+b7wlqU1iFJJkOmXryX2mSHJwFRmvLKMcAR2Sj3P+fH7QTw//ALa4D4d49wlDnxPCmZ1MqzOcI6/2Pn3slh69aVn+7wmbYXDYekulTNpvW7t+1+C+cKjmmZ5FVnanmWGji8NFvT63gW/aQgv5quFq1Kk3b4cLHtr9Z2smQp/vAD8ewrdgbkHGcc8D2x7f/X5NctaSbl9+o5yfX9Oc+p61vwPwpznocH9cdMcdgeCDjiv8Ps8wvLOemuuyttbXTe6sna/fQ/bsbTs3Zdb/AOb9elvXQ3lIxwRkHI9+h59gOcdSenarSHI6nnn8MDHPXP49AfrWfC2VA6Y4J9uvTv7g1cRscHt7kDkemOvpwAM47cfn+LptN6f1pb5eb79zw6kbP70/0+9eu2ttL3E79eOgz75/n798UdMcseCV9D6Dpn8+PwqNWw3Tg9Tng8D/AD74+uJOgHy9Rjr7nI9f/wBePavJmrP11/r+tDkkrPy6C88fe+929uhzgcZ6dP0rbtJ/NiAOPMTAYnJJHZ+em7Bz3z26VidR7Z9c9Oeu7jAz364OO1SxSNE6uB0PzDPBHTHqegI6YIGe9duXYyWDrqV/3VS0Kq30vpO3eDbfo5JasynBSXS61V/x7b/5G+zkHjJI6cYz09B09s9PoaYWbk8dBx6g4yeOoB79+SeaiEgcKynIIBzgH0yfzHTse/agvxg4A+nX3+v09c19S690nF3uk01qmnazu/LbdWfzOdQt0XndPyvbbz6EhY9iP6+/U4+mM5pu7jGe35cN69DyAOen5VCZPQc9M4GP0/Tp9c4qIuTkZ9OPXg8dQe3c1jKq+6/O2v6dvXTs0ku3Ta++nn3S/XqWC4GeeSMe/Tpj8O/UdaiMnBwD29M/kfy/+vURzxxxnnPXjnPBPp370euTxjpz0GevrwRn1rnlWXr87vp/W/8AkPTf8Um9PkBkJ9TxkYPQnjp0J59+wxxTCWPT9OuT7Zyfy9euM0F1z169jj1BHGe/Q9/pUZk6D2HTjt3yR1GOv6c1hKt0v8nfytotNvx9NaUZPZaed1p31RzPjjwP4P8AiX4Q8S/D/wCIPhvRfGPgnxho994e8UeFvEdhDqmi67oupQPb3un6jY3SSQ3FvPC7Ah1DI22WJo5UR1/zzv8Agsr/AMETfGn7B3iDVvjp8CLHWvHH7Iev6pvaYi51XxJ8C9R1K5CW3hjxrPiS5v8AwdPczR2XhPx3cElne28O+KpItdbS9U8Vf6KpPUbsduBnv1459vr+FY+vaDofivQ9Y8MeJ9G0vxH4b8Q6Xe6Lr2ga5p9rquja1o+pW0tnqOl6rpl9FcWWoaff2s01teWd3DLBcwSPDNG8bMh/oL6Ov0mONPo68WLN8jnLNuF80q0IcV8H4nESp4DOsJTaisThpWqRy7O8LTlJ4DNKdOTjd4fFUsVgqlXDz8TPuG8Jn+F9lX/dYmmm8Li4xXPRm7XjK7XtKM3b2lNtae9FxmlJf43VFf1F/wDBZP8A4II+If2cZfFP7Tv7Geg6t4t/Z9LXeu+P/hLZC61jxZ8FIDvub7V/DysZ9R8UfC+0HmS3DMbnX/BNovnao2p+H7e81vSv5dK/6LfCTxf4E8bOEMHxpwDm8Mxy6vy0cdgqvJRzbIsxVOM62U53gVOpPBY+hzJ25qmHxVJwxeBxGKwdajiKn4HmuU43J8XPB46k6dSN3Cau6Vene0atGdkpwl6KUXeE4xmpRU9rdXVjdW19Y3NxZ3tncQ3VneWs0lvdWt1byLNb3NtcQsksFxBKiSwzROskUiq6MrKCP6PP+Cfn/Bx9+05+zUuifDv9qG11H9qL4PWYtrGHXtS1KO2+OXhPTo9savp/i+/LWnj+C1j3yjS/HROs3knlW8fjnSrKJYK/m8orfxM8JPDrxgyKXDviLwrlnEmXpVHhKmKpypZlldapFRlisnzbDSo5jleJfLHnq4LE0fbRiqVdVaLlTlOXZrmGU11iMvxNTD1NFJRadOrFO/LVpSTp1I+U4uz1jZ2a/wBYf9kD/goT+yT+3R4ZHiD9nX4taH4m1a2so7zX/h3qrDw98TvCIJjSUeIfBGoyR6tFawzv9l/t3TE1PwzeXCsuma5fIPMr7P3HsD35weeOPzP6fp/jmeEfGPi74f8AiTSPGXgTxR4h8F+LvD95HqGg+KfCmtaj4e8RaLfxZ8q90rWtIubTUdPuo8kLPaXMUoBIDYJB/pP/AGJP+Dmr9pr4MLpPgv8Aa28LWv7TPgK1EFp/wm2nyWPhH406TZoFi824v4bePwn48NrbqBHBrenaHruoTl59T8aSyOWr/IXxw/ZlcZZBLGZ34IZ1HjTKY89ZcJcQV8HlnFWGhq/Y4DNJLC5Hnaik5XxDyPEpKFGlRx1ZuUv1XJvEbC11ChnNJ4SrovrVCMqmFk9FepSXNWo3f8vto3vJuC0P74iGPqevfjPzDv8A/W/M0mM5PfnsT1yMdBjP+cdK/Pb9j/8A4KmfsQftwWtjbfBH406GPHV3Crz/AAj8eSReB/ipZzbC81tB4W1m4UeJRaKV+16j4Jv/ABRosBdVbUy/y1+hYPXj1Oc54zk9DxwfXrg+4/zG4o4X4q4JzfEZBxdw9nXDGd4RtV8sz7LcXlmOhFu0aiw+MpUpzoVOVulXpqdGtC06VScGpP8ARcNi8Pi6Ua+Er0cRRmvdq0akakHdK6bi2rrrF6xbaaT2AB6N0GOOec/gMcHOR+ecnPH3u2fb7vXj/Dv2NGOn/wAUfxGM8dMcZ6e1Jxx8vp3H+z05Hb09vU1805OWrbfqbBnp948eg9sHGOee/qO4pSf97p1x+uCMeuSfX06IBzwoHphs+nXnkd/xHHqpwO3/AI90GR7jHt7j6UgAnrgn8Oect7ccjGR7UDPPLY+nPU57ZHT8KTj0HAx9713d89/z5pc+inOfXHduvP19iePSgAzxj5zx6dc++M/0479zn3HP58r6j+nPPJ5yceh4zzu4B5/2u/Izxz6c4OOOMc5zntkZJ57+nPNABkjGc/X/AL556c+nPuOpxR6Y3Ec9uPx4GRjpj04FB6cD053D/Z4zn2xn6EdaPTjHXuevQ85HcgdDzn1yQAz3+bpz27H2HII47ZPXnFGev3uvHf8AvdBjp9fbsM0HGM4yOf4vYkkc85B9j3xSHv8AKP8AvoDnk88+n9e1ACg/73fnGc+nOPxGenelB7fMPr9R369wD2x+dAHHTHXjPfPbB44znpzx0pOAenHH8Xuefvc89PfNABk8ct0H67cc4575z9OM0emS2euAPbPYfh/k0gwAMD0PX129if8AOPQ0v4HHH8X0xjnn65HPuMUAGe+Gzg9cjuOOB39f1zjBnBJ+bofp17f/AF+w6YoP069i3X0P3v6Hp+NLgcn68ZPrz3xgcn8e3cAMj/aHPcHtnpwe3XHOB9coD/vdT1GfXkcfTjH8jRnPOD1A+9n+RPPT8TnPGaPr68/MRyO459QeuMAe1AB/30OCMY9fw/L0xj6hPGcv1HGMe3pj8OhNGM9s8ED5j+oz0J9z2zijr2Pb+LryO270wR7/AIZADPThvpjGPbgfkOffHUGe/wAx4PGP8MDPX3984FLj1H5HHOeO4ycY5yensMp6YGeCD83t25PGcfT06UAB/wCB9Owx/Tr9Pw4ozj+/yeuP8R057Dt+fxf+1b/wUK/Y7/Yp0mW//aI+OHhHwbrP2T7Vp3gGyun8S/EzW1ZCbc6V4A8PrqPiV7W5crCmr3thZaFbySI19qtpEWlX+Tz9tj/g6I+L3jtdX8F/sRfDqH4M+HJxPaJ8XPiXbaT4q+J93btuVLvQfByPqXgXwdOVJBOrzfECZ0ImgOl3I+T+i/Bz6Knjf441cPW4N4PxeG4erTSnxjxEqmScK0qbfLOrRzHEUZVs29m2lUoZFhc1xVO6c6EYXkvBzbibJ8mUli8XGVeK0wlC1bEt9E6cXaldaqVeVKL6Sbsj+vv9pz9sb9mn9jfwU/jz9o74u+FvhppEkVy+kadqd2174s8UT24zJZeEvBumR3vifxPeKxQSx6Ppd3HaBxNfy2lsJJx/G5/wUB/4OY/jT8X01v4b/sSaBqHwE+H1x9osLj4t+I1sL740+ILR98TTaBZwSX/h74ZwXETuqzWdx4l8Uxbba/03xD4cvFktk/ml+J/xX+Jvxq8Zat8RPi94/wDF/wAS/HOuSeZqvivxv4g1PxJrl2AzNFA2oarc3M8dnbBzHZ2MLR2VjBtt7OCCBEjXz+v9hvAX9nT4T+GM8Fn/AIhTh4qcX0HTrwp5phI0ODMsxEbSX1Ph6c639rVKUnKH1nPq2Lw9ZRp16WU4CvFNflOd8e5nmKnQwCeWYWV4t0582LqR/vV0l7JPfloKMldxdWcTX1/xBr3ivW9V8S+KNb1bxJ4j12+udU1vX9e1G81jWtY1O8laa71HVNU1Ca4vtQvrqZ2luLu7nlnnkZnkkZiTWRRXvP7N37Mvxv8A2t/itoHwY+APgLV/H/jvX33iz0+MRaZoelRyxR3viPxTrU5TTPDfhvTPOiN/rOq3FvaRvLBaxNNfXVpa3H9+5hmOUcPZViszzTG5fkuSZRg6mJxmOxtfD5fluW4DCUnKpWxGIrSpYbCYXD0YXlOcoUqcI7pI+Hp06terGnShUrVqs1GEIRlUqVJyeijFJylKTeyTbZ5L4V8K+JvHPiTQvBvgzw/rPivxZ4n1Wy0Pw54a8Pabd6xruu6zqU6Wthpek6XYRT3l/f3lxIkNva20Mk0sjBUQk1/eX/wRq/4IP+Hv2VV8NftM/tc6RpHi/wDaTMdtrHgf4dyG11nwn8C5JEWa21C6kQz6f4m+KNtuB/taBrnQ/B90rL4ck1HVYIPEcf2J/wAEp/8AgjJ8Fv8AgnV4es/HniY6T8WP2qNa0wweJPilc2RbSPBUN7AU1Dwr8J7G/iS40bSvLd7LU/FN1FB4n8VReebpdG0a7Tw3Z/tOOe3UDPzZ7nOeefbjrX+G30xPp8Y3xFhmnhj4MYzGZTwHU9rgeIeMIKtgs34xou9OtgMsjJU8TlXDVZXjXnUVLMs6ov2OIhgsvniMJj/2XhPgmGA9lmWbQjUxytOhhHadLCPRxnUavGriY/ZSvTovWLnUUZwM/wC8Mn09/Qjvntye4z1XP+935wfXv1Ppjj+opDgevv8AN0646sPw9iaPwOATg7vz6n659PrX+XR+jh/330/r7Dg/lx7UZ/3+o7enfIGf/wBfHsDsAOfZuOw9SeBj+lHGO4wBg7v0xu9MHr/9cAM9Pvdeew/HIHHU9v8AAyD13Ac9uO+c4z09/T65Me2MYHLE4z2GD+Hbsfaj2APc/e7/AIE98fmfxADPPG44Hp/iOvTnn8hS56/eHTkDr+nbjPcgY+qfpxxyQMH3z7E9OgHTGKPw4443cjnA7nvnuOw6igBfXlh17evPp/8AXpAeOjdB26++QPTjPHHvR0ODnr/ex+m7r0P49PVQOBkYHHf88HPTpxn+lADWJx/F2HPA9+eCeM9evoO1dyR+ByT2H+evJP8AKpHPPA6A4569umeQOO/Tpg8VXc56EDPrz+nOc8A+n4c9NGF7et/m7Wv1NYRdvX+l/V+tmiJj24OTjp0wT1PY9R06dSeKy52yTjJzkj6Dp65B7Gr8zAKcE8/Kv484Oew55NY879Tjj+Qzx+fqfevpcuo80o9XdN79HHf/AC27+Xo4eCuvkvyu/vdzOuXGWPoCOCMn6j16H8yK43WL62sra6vbuZLe1s4Jrq6uJSEjgt4I2mmmd+ipFEhdz/Cqk+9dLdSAA5PXJJ6//X4HP07dK+I/23PiR/wgPwK8SQW0/lax43kj8F6YqviTytWSZ9blCg7xGmg2+ow+auBFcXFrlwXUN/RHhHwVjeN+MeF+E8BGX1riHOcvyuFSMOZYenicRTp4jFzTV/ZYPDuriqz+zSozk9FY9nEY2jk2VY/NcQl7HL8HXxTTfxulByhSi39qtNRpwWjc5xXU/D/4o+Nbj4kfEfxn41mEhPiXxFqOoWqSkl7fT5J2h0mzOeSLLS47S0Ge0IHU5r6V+BPhxibMlMklCeOpO3P8z+dfIOgWL3+q20IQkGQORg9AeO2OuOv1r9P/AIE+GcfYsR/88+3uP6Cv+lzLMuweT5bl+UZfRjh8BleBwmXYGhH4aGDwOHp4bDUY/wB2nRpQgvKJ/E2IxFXF4iviq83Ur4mtVxFab3nVrTlUqTfnKcm36n6O/Anw5/x5fu+mztz2J7d8Hr7+mK/Z74F+HwiWrlOFVWOR6DJ6/Q/nX5wfArwz/wAeZ8vtH29h/jX7A/CzRxY6SspXaWRVBI+ufT2HHrXcYnqwIxkc9ueM8D/AZ7DBOTjJA2ByeMj16ZI759Mk9ccdhRs4xn9Pp7+1Gz0bv2HT9fT+lAAWAPAye56dOOeKKQp7/p/9eigA2v8A3v1P+FG1/wC9+p/wpwPGSOePzJIx3xg/14zxRnp25Oe3GD2/zkjigBoVvUfmevXnjn8fbtXg/wAY9AF3YyTqmd8R3EDOWCkH8cYP9K96B5IyOP06cYzz6Z7H64rm/FemrqOkXMZXcyIzKOuRg57Dt+WM5NAH4O/HXwtn7Z+7/wCenbHr7fiPXmvgX4e6u3gb4u2lvO3laZ4rV9AugSRGt7LIJdHmI43O18gsU7KuoSccV+x3x08Jn/TP3X/PTt16n/PpjjNfjh8a/Dc9pPLdW2+C5tphcW80eVkhnhcSRSow+68bqrBh0YA8EZr5Hj7hDA8fcF8TcG5lyrC8RZPjMtdWUef6riK1JvB42EXo6uAxkcPjKN017WhBtPY9XI81rZJm+XZtQu6mAxdLEOCdva04ytXoN9I16LqUZ/3Zs+/7GXpz0x/4904HoRnp3rpbeTAxng4Pt9Pr169OnpXinww8YReNfB2heIlKCe8tFi1KJMAW+qWrG11ODbncqpeRStFuALW5ilA2uCfXrWXgH04PbjjPqfr16/Sv+aPjzhrH8PZ1m+R5phpYXM8nzDG5Zj8PJWlQxuAxM8NiaT0SbhWpVIppWaSa3P7QqVKGOwtDG4WSqYbF0KWJw9RWtOjXpwq05q10m4Si9bWvZnT278jng4Xjntkf4HtznpzWgp5HHJ4z+XX145J659qxIX6c+39Rx259vWteNiQOxIwfqP69x6d8V+J5hQ5ZSVrdu/S3rbstNtdT5+vT3/r0/VX9C6rcYPbp7+gHPXP+fSwpDAHjv1xz3/8A1+nOcnmqaHGAR0GMHB47ev58Z547VZQ4I6jdjtjnPU9ufc+/JxXztWNr6bart/eX6+XzPPmtL66a9PJa9dv62Jew+6OR349eOBz6fnRwcZ25/P6Y6euce/40o/zkH/Pr049OlHP+fp7nrn1H4dTXP/W39ff3+4x/zXbrbv0/pak8EpQ+WThTkj2zjHH8IJJ+h5J6mpywBHJyD2yMc/rj/I54oHr0P5Aggkf/AF8j0yanR8jac56ZPcZGfyP07nnNenhMY1H2NR6L+G3tb+V+m8b9Lq6srxKLbuvn/mT5U4yR3zhep7dQff8AGkyozjn8B3B9u3GfXpgc0zd+RwP5Yz/9fn8SMsJB9c88f99djn37dxxXVKutr+vTp6X9b6CUHpd/dby6/fsrW+RJu4xgc55wOP5Y9hgnr07NJPfPTpkeuM+xAx3x0FHUfgf/AK3Q9vb8CBTSRg59PXJ7cEHnqT3yOx6Y55VpPby8l8tb+er/AOBoopW0276v72BPORnkD6feA4IJ+hA/Gk5PUkZ7H2H0GcntjHXuRTfMHbnJ65HUkc9McEj8O3ozdkZ9hz2wP54HXHuM5rFzlpzNPW1ktdbWXZPq7v0H5f19/wDXmS5GT09OvbnPT1zn0z1IwAGlsdFBzx0x2OcY6Z9z+I6VH82Dzz24x6+p6e57e5owTnOehwOB1+hP4Z/wrJ1LLorW63elul76/l6Nh/X9IR13qyttKsCpVhkMp4KsCCCCMgjoc9wa/ks/4K8f8G9OkfE5/E/7SX7BegaX4b+IspvNc8ffs7WRtdJ8LeOp233F7rXwsDm307wr4tmffLd+DpXtfDHiB3MuiS6Dq0bWHiH+tQdOhzyenPUnA69PfPX3pfXr7cD0/wA9celfqfg944eIPgZxbQ4u4AzeWBxP7ulmmV4lTr5JxDgIT55ZbneXxqU44rDyvP2NWnOjjcFUm8RgMVhcRaqvMzbKMDnWElhMdSU46ypVY2jXw9Rq3tKNSzcZaK8WpQmvdqQlHQ/xwPEPh7X/AAlruseF/FWiat4b8S+HtSvNH17w/r2nXeka1ouradO9rf6Zqul38Nve6fqFlcxSW93Z3cEVxbzRvFLGjqQMev8ATF/4Kf8A/BGX9nv/AIKJ6Le+MrWOz+EP7TOn6cIfD/xk0PS45IPEv2SERafoHxV0W2a3HizRhGkdpZ60skXirw7DHbjTr+70m2m8PX/+fR+19+xR+0b+w18T7r4V/tE+AL7wpqrNdTeGvEtp5mpeBvHuj28qxjXvA/iiOGKy1vTmWSB7m2K2utaNJPHY+INJ0jUhJZR/9Cn0a/pd+G/0i8spYTAV6fDPiDhcMquccC5niqbxj9nBOvjuH8VKNGOe5TFqUpVaFOnjsFG39pYLCxnQq4j8J4h4WzDIKjnOLxOAlK1LG04tQ1fuwrx19hVeyUm4T/5dzk1JR+UaKKK/q8+YJbe4ntJ4Lq1nmtrm2mjuLa5t5Hhnt54XWSGeCaNlkimikVZI5I2V0dVZWDAGv2T/AGSf+C8f/BQ/9lJdM0I/FJPj18O9P8mFfAvx6jvvGzW1nHtj8jRvHSX9h8QtK8i2Hk6dayeJr/QbDbGRoM8SGF/xnor4zjfw64E8ScqlknHvCWQcW5Y+d08NnmW4bHPCzmlGVfA16sHicvxNklHFYGth8TCy5KsbHXg8fjcvq+2wOKr4WppeVGpKHMl9mcU+WpH+7NSi+qP7+P2W/wDg57/Yz+Ky6don7Rvg3xz+zL4pnEUNzrLQXHxS+F5mYCPeniDwvplv4zsBNKS5iv8AwD9gsIXH2jXJVjknr9/Pg5+0J8C/2hvD6+KvgV8Xvhv8W9A8uJ59Q8AeL9E8TLYNKAUt9Vt9LvLm70e8GCsljqkFneQODHNBG6Fa/wAguun8H+NvGfw91+y8VeAfF3ifwP4o0x/M07xJ4P1/VfDWv6fJkHzLLWNFu7LUbR8gHdBcRtkA54Ff56eJv7Lvwo4iliMd4Z8U5/4d42o5Tp5Vj4vi7huL1caNGGNxODz/AAsZv3ZV6+eZn7OPLKGGk4uE/u8u8SMzocsMxw1DHwVk6tP/AGXEebk4RnQlbdRjRp3e8rWt/sXf98njP0GMHseOMf5xSjHbb09PQ9fpkH8gc81/mrfs+f8ABwP/AMFNfgKtjp998ZNN+Ovhuy8pV0H49eHLfxpcyomA5n8b6Xc+G/iTdzSIMeZqHjK+RXAk8lmMgf8AbD4Gf8HYHgC+WzsP2lP2VfFvhyUeWl74n+Cni/SfF1tOzYEk8PgvxvH4PuNPiQ5PknxvrEpT7rlgFb+DuPf2cv0lODpVq2TZLkXiDl9LmmsTwlnmHhi1RXwuplPEEckx867VlKhl9PMWpXUKlSK5z7XBcfcPYtJVq1fAVHpy4qjJxvptVoe2go9pVHT0WqWx/Xx2/h79Mf7XPfj/AOv70vbkDGT1+px24+v+Nfj98G/+C8X/AAS4+MotYLb9pbSvhtrNz5fmaH8Y/DXif4ctZGTgC68TavpTeAuGJV2tvF1yse0vKyRFXb9Nvh18afg78X7FdU+E/wAWPhr8TtNaMTLf/D3x14X8Z2ZjbJEn2nw5qmow7GBHzF8c9c1/I/Ffhj4j8CVJ0+NOAuMeFXTlyufEHDeb5VRlrZSp4jG4SjQrU5P4KtKpOnNWlCck0z6jC5jl+NSeDx2ExN+lDEUqrXk4wm5J900mtmj0vj/Z6fQ+n4emPf2wT06dhgc91/z2xx9aXjnn69uvf249DjrSemc9uw9Vxn3z7Dvjpz8N/X9dzt/r+rCD329Pbn7vtwOnXnpjgCl6Y+6D/UDt/ngUH8ecfn8oHT+Q6847Uv8Anof8+n6/gBf+v69RpIHGFzg8e2Pp7Yx3GOlHPP3R/T72O3fqfbJxzTj3/L/OeD/j19k5yeuenQH+9j8OfbHGT1o/rsAnHGQvPTvk9D27nHr+PZeMD7vX0689ueCM+/NL+eOc8fl749Mde9B/H8ge/Xoenv296A+f9f1+Y38u3TH+z09v/re1LxnkKPXjtjA5wOPfp270DoOD27D/AGfr/kHnil5xz6DPftzjHf6fgKAE4H93656Z/D2I6jOO3Y45zjvzj1J46dfUev1pT+vOOn8uM4/P3615j8RPjX8G/hDYtqXxY+LXw0+GOnrG0pvviF478L+DLQRDJMn2jxHqumwlBj728jA46104PBY3McRTweX4TFY7F1pKNLC4PD1sTiKsnb3aVChCpVm9doxkyJzhTi5znGEVa8pyUYpebk0l9/3npvBPQH1Ptj1x7jv0NHr93v39ABzx+B9AR+P5CfGH/gu9/wAEuPg4t1Bd/tN6L8RdYtw/l6L8H/Dvin4kNelOGW18SaFpD+BQcgBGu/Flqkm4NEzqHZfyQ+OH/B198LtNW7sf2cf2V/HHi6Yh47TxF8Y/F2ieBbKF1yFuW8K+Do/Hl3qNuxGVgbxToc5QgvJG+Yx/QXBf0SfpIceyovIPCHi+jh63K4Y/iHAR4Sy6VN2vWp4ziirlFGvSSu+bCyruVnGnGc1yvw8XxRw/gr+3zXCuSveFCbxU09NHDDKrKLfTmSt1aR/XVgEE8dznHbnHUZ44/wDr9/NPil8ZvhD8D/Dc3jD4y/E/4ffCvwtAJd2v/ELxdoPhDSmeJA7wQXmu31lFdXRBAS1tmluZmZEiheR1U/53n7QH/Bw//wAFMvjit9p+hfE/wx8AvDt6JIn0f4H+EbTQ78QNlYwvjPxVceL/ABzZXKKcvdaJ4i0cvJllijTbGn42ePviT8Rfit4iuvF3xQ8e+NPiR4rvc/bPE3jzxRrni/xBdZYvi41nxBfahqMw3MzYkuGAJJA5r+z/AA8/ZXcfZnKhivE3xB4e4VwsnGpUyrhfC4ribN3DTnw9bGYxZNleBr/Fath5Z1Rj7r5Kl2o/JY/xKwNPmjl2BxGJlsqmJlHD0k+8YR9rVnHykqTv1R/fn+1B/wAHMH7B/wAGF1HR/gjYeN/2pPGFt5sVu/hOwn8BfDhbyLKtDfeOvGWnx6rLEZMeVfeGPBPinT503PFeFQjP/NX+1n/wcMf8FCf2lV1PQfBnjHSv2ZPAF8JYF0D4JxXWm+LriycERrqvxR1Oa78YpfIrMktz4QuPBVpcLgSabxz+FdFf6E+Ff0Gvo6eFUsNjcLwbHjLPsNySjn3H1WlxHiI1YWlGrh8qnh8Pw5g6tOovaUcRhsmp4uk+W2Jk4Rkvhcy4yz/M+aEsX9UoS09hgU8PG3aVVSliJJrRxlWcH/Krs0dX1jVvEGqX+t69qmo63rWq3U19qer6vfXOpapqV7cOZJ7y/v72Wa7vLqdyXmuLiWSWRyWd2JJrOoor+u4QhThCnThGnTpxjCEIRUYQhFKMYQjFKMYxikoxSSSSSSSPlm2222227tvVtvdt9Wworf8ACvhTxR468R6L4P8ABXhzXfF3izxHqFvpPh/wz4Z0m+13X9c1S7cR2unaTpGmQXN/qF7cOQsNtaW8s0jcKhr+wD/gmL/wbWXM7+HvjX/wUPj+z2w+y6voH7Mehar/AKROMpNbv8YfFOkXGLaMjEkngbwpfNcPuhTXvEtq0ep+GX/GvGjx98MvAXh6WfeIOfUsHWr06ssn4dwXs8XxLxBWp6ewyjKlVp1KkFPlp1sfiZ4XK8HKcPrmNw/PDm9bKMjzHO6/sMDQc1Fr2uIneGHoJ9atWzSdtY04qVWaT5ISs7fh7/wTY/4JEftKf8FGvE1tqnhuwl+GfwA0vUvsvjH47+KdMuH0JDbyqt9ongLS2ks5vHviyNdySWOn3Vto2kSGP/hI9c0h7ixhvf8AQv8A2KP2Df2cf2BfhbB8MPgB4Oj0w3i2k3jPx5rJt9S+IPxG1i1jZBq/jDxCltbvdGNpbk6do1hBYeHdCS5uItF0mwS4uTN9WeFfCnhjwN4c0Xwf4K8O6J4S8J+G9NtdH8PeGfDelWWiaDoelWMSwWem6TpOmw21hp9jbRKscFraQRQxoMIgFdB/np/n/wCvX/P/APSY+mH4jfSLx9TLK858KeHOFxPtcs4Iy3FVJ0sTKlNSoY/iXHRjRlneYxajOjCdKlluAko/UcHTxHt8Xif3Dh7hTAZBBVIpYrHyjapjKkUnFPRww8G2qNPu03UnrzzceWEWkDPG3nPUDtj0H179++MUHHXC47nr1P09fft170vp16EcD+p+nfqaPXGe3b3wcZwM/p3Ar+Rj6kTjnG0dO3r69OoP6kc0nt8mMnt09PQZ/Xr6U4/j+X17dfy68Y70DP8Ajn88j29Bz2HGDQK9v6Xkv1/rRDeMc4z2GP6YB65IHfOPSl45xtP4j688H3P4fkv+fb6fh+H160du/wD9fPbPqeg5HQdKX9bPy+7+uzGJkHg4P+eP68nGfTBFBx7Hk4yO5+g6ZI59wc+rv89+o/p/P8aT8+vuO/8Ann09iaYAf+A9O/uR+h/U4pOCT0446dDk9yOvI455/Vf89D/n1/D8yv8Aj7/5Pf26Uv62ff8Ar8wGcc8L1I9Oc8Dp+mOwPegkAE4XgAj6E+vHfPT1/N359T2xnP69+o9CTUTtkgc9B2PXn2x3+lVFXaX3+g0rteuvoRMxx9R6jnPfqffrx75xVdm75Gf889ufrnI5GckGVyB0x2AA9+uMD37ZJ5+lVpG2gnPAGe/XAxk8Zzxjp1x249PDU3KS83f77ffpv2udNON2tNrdt+l7f8Np2Kdw/OAegx+J/wAB/Wsa4fgrx9QewI75/wDr8+mavTP19vw6/njA6envWHcyfeP1A+g//X+Izmvt8mwrnKHu3u1br2S37vVXS9bHtYSldx7XXl03306vrf8ALIvpfvZ78dccDk9PwGeOOTX4Y/8ABQf4l/8ACWfFfT/AtjcF9K+HemeTdrG+Uk8Sa6lvfaiSVyr/AGTTo9JtMMS8F0t/H8pZ1r9i/id440z4d+CfFPjfV3H2Dw1o15qbxlxG11NBERZ2ETEFfP1K+e3sLfIwZ7iIHg8fzK67reqeLPEOr+INWnN3rHiLV73VtQnIP72+1O6lurh1BJ2J5szbEyQkYVBwBX+sP7PbwxeY8U534k47D3wXCmCllGTVJw92efZzQccVVoyaac8BkzrUq8dGnnGHmno0fnvjFnawOS4HIKM7V81qrFYuK0ccDg5RdKMlfRV8WoSg9V/slWLSueh/CjQmv9TScqWHmKqk88A8/rn2A5NfsB8C/CxAsx5f/PPoPp/PgDvxnpXwB8DfCZ/0MmPJJQ9Bk5xknjueeT3yc1+ynwM8J/8AHn+7/wCefb6e2eenTP0HX/XQ/m0/QT4F+Fz/AKF+7/559vofbqf8a/TjQ7L7DplrCAFIiUtzj5mAx0/Dg96+V/gd4WCJas0YCqFYnH8IAJ9B7dfQA19fKQAFAwBgdcAAehHB6H0+hwaAFw/97/P5ew/X3ygDf3gfxP8An8qduH4ZPP0/n9eOAfSgHueOx6YHX3/DPcjpQAhVz3x+J/w/z2wOKKUsASDn8v8AE/8A1v50UAMCsOx7dwOmffPp6d/Y0Yb068dVz37/AM/Wly/v2HTrnPP4UZf0Pft9cdvp1/SgBArDsfwI45B49zjH86Roy6sjDIdSrZPYnn17fT8+q5f0P5f/AFv8/wAly/PB6en09v8AP5UAfFXxx8JhhdkRZBDkccYOT6YzjB/pX43/ABy8If8AH5+66eZ/D9f/ANXOTzwBX9C3xL0FdU0qSYR5ZUZW4PA2kjnjjscenpX5JfHHwd/x+fuu0n8P16D+v8sUAfml+zt4nbw54v134fX8hS11wy61oYckBdTtIgmp2sY6lrvT44rtVG0KumzsSXlr7wspugz6A+vTj9PXHIya/Mz4l6bqXhPxBZeJdI/c6noeow6lZvg7TNayiQRzAEFoJ1DQzx5AlhkkQghjX354I8Vaf4u8O6L4l0xv9C1ixhukRmBe2kYFLm0mIwvn2V0k1pcAAgSwy44xX+PX0/fCR5HxjgfEjLMLy5TxrS+r5tKnC1PDcT5bQp05SlypRg82y2lRxNNJOdbFYLM6825Suf0z4R5+szyOvkOInzYvJW6mG5neVTLcRNySje7l9VxDnTl0jTrYWmlZaes28nGM55HfHvkAcYAHXHvxWxbvk4Pfr9RjH4H8u1cxbS8Bu44Pfv8A57EdMCtuF+mfb8cHg/jyP/rV/lfm+DcJSbi1a+lntdJ/dvpb8UfdYulZyuvn+P8AwfK3nd7ik5Bzjrnr9Tz0yeuMYAz05zOMYBI5HAOTyBwOBz7HjvnHJqlGwbBPQnBHPUdOPy4xjNWV6c88ZyOOp4xnA6e319R8RiKXK+3469t1v/lfU8epFpvpftpqv89/PUvIcjPv6/r7ZOfxzSgfX88//Xz/AI9TgYhQ7T14PXvj0xnPHr9TjHFT+/8AXj/D8a8ya5XtdPbb9Wuu3yOWScX5Nab9+qtv/VlqNPX8OvGTyvb8v5Y6U7p+BzSd+vb1/p/Xr6UtTfVO1mtnpo7rZ30f9K9tZ16Jff8A8Bkivkc8H3/POcH6cHA59MU1nUEgcn06+uenQc8dM9TTMDt/j69fXrnFNweOTnGOpxkg+uTxxz/WuqNbRKW663sn5+vf712THmVjjapAx+mPX+o5PT0qI7mzu3E8Yznrn/DuakA9ev1P+R/P3yTRgDp6+pz/AJ4Gal1rbJvs1p26t31tr18xp219PzX9dPUYFbPOex6/7QJ/lnj2pdo+px0+XOcccY9Bxz275NOwP/1n3/x6fpRj27/0xx/LtWXtJu+rV+1lva/W/r+vVXfl99u3l/VvPRT/AJ5x/n6Hik7f04OfY/8A6/qetLRUa9VfzstPxf4C7+v9dPTb8xvY9uvcY5J5zjI/p9QaXnj6+vqe5OOnYDrwKMfj6c5/HPXOPy6DHNGB/X06Y/Tge3FHa6++3la2umv5el3/AF/Wn9beiY/p37Aj2/8A19z0x4Z+0P8As1/A79q74Z6x8Iv2gPhz4f8AiT4E1kGRtM1uBheaTqAieG31vw1rVm9trPhnxBYpNKLLXNCvrDU7dZJYkufIuJ4pfdOM4HHQ/gCMj9AOv4Uv9K7sszTM8kzDBZtk2PxuU5rl2JpYvL8yy3FVsFj8DiqE1OjicJi8NUp18NXpTSlTq0akakJJOMk0RUp060J0q1OFWlUi4Tp1IqcJxkrOM4STjKLV000016n+ff8A8FLf+Ddv48/svPr/AMWP2UR4h/aJ+A1ubnUr3wxb2S3vxr+HOnIXkkGqaHpdvFH8QtEsotpbxB4SsYdYhi86XVvCVlYWM+tT/wA3Lo8bvHIjRyRsyOjqVdHUlWR1YBlZWBDKQCCCCARX+yr1z39v8/h/PvX4o/8ABRL/AIIYfslft3HW/HujafH8AP2hb8T3Z+K3gHSLQ6V4r1NwzLJ8TfA0cun6X4seaRibjX7G50HxjI/lG68Q39pbJpz/AOt/0cP2l+Ky+GA4S+kJh62YYWCpYXC+JOT4RTzCjBcsIS4qyPCQvj4wi/3ubZLSjjnGEfbZRmGIq1sYfl2f+HkZueKyKUacneUsvqz/AHcnu1hq03+7bd7UqzcLv3atOKUD/NWor9G/25f+CVv7Yv7AOsXT/Gb4dz6x8NWvfsuifG3wCt54k+F2sCWXy7NLzWEs7e98I6pdsfLh0Pxnp+g6lcypMdMi1G0jW8k/OSv9geFOL+F+OsjwfEvB2f5TxNkOPhzYTNcmxtDHYOo0k50pVKE5exxNFyUMRhayp4nDVL0q9KnUjKC/K8ThcTgq08Pi6FXD14fFSrQlCavs7SSvF7xkrxktYtrUKKKK+jOcKKKKACrmn6jqGk3kGo6Vf3mmahayLLa32n3U9leW0qnKyQXNs8c8MinlXjdWB5BqnRUyjGcZQnGMoSTjKMkpRlFqzjKLummtGmmmtGCbTunZrVNbp9z7O+HX/BRb9vT4TLBD4A/bD/aN0Gxttog0dvi34z1bw/EExtC+Hdc1bUtCwAAMHTyCvykFSRX2x4I/4ODv+CrfgxYYZ/2jNO8aWcAUJaeNvhN8J9TZguMibVNN8G6Pr0+4ABml1Z2P3gwYlj+LNFfmef8Agp4O8UynU4k8KvDrPK1RtyxGacF8O4zFXe8o4qtl08TCf9+FWMvM9GhnGbYayw+Z4+iltGnjMRCNl0cY1FFryaaP6TPC/wDwdJ/8FDNGWKLX/h7+y14xiXaJZ9R8AfEPStRkxjLJNoHxY03T4nbAyTpMif3UWvddF/4Owv2i4FQeIv2UfgtqjDHmHRPGHjnQA3rsW+/4SUx5HTc0hGM5NfyfUV+W5h9C76LmZylLE+DPC1Nyvf8As+pnGURV9+WOVZngow/7cUbdD0qfF3ElPSObYl2/5+KlV/GrTm38z+wSy/4O1PGUa/8AEx/Yc8M3TdzZ/H/VbFTyM4Wf4RaiRxuHLt1HXbg6rf8AB21q5Vtv7BemqxBCk/tL3TKDg4LKPgMu4AnJXcuemQeR/HNRXz0/oD/RKnLmfhHQT7Q4y8Q6cf8AwCnxdGFvLlsdC434oWn9qP54TAP8XhWz+v2//wCDtLx5IG/sz9iLwlZsfum++O+saio6/eWD4V6WW5PZl4GPevNtb/4Ovv2m7hXHhz9lr4FaUxz5ba34i+IHiBUPYutjqXhrzMcZw0eccbSc1/KXRXbhfoLfRRwclKj4P5XNqz/2riDjLHRdu8cbxHiIv5p36kS4z4mmrPNai/w0MJB/fDDxZ/R94o/4Oiv+Ci+uLJHong79l/wWjArFLofw48c6jdxg/dZpPFXxU8QWksq8fN9hSMkD90OQflrxr/wcBf8ABVzxoJoV/aYj8I2UwYGz8FfCv4R6I0Ybj9zqsngi98QRkDhWXWNw653Zavxmor7vKPoufRzyOUZ4DwT8NnOFnCpmHCmVZxVg1a0o1M3w+OqRkmk1NSUk9b3OKrxJn9a6nnGYWe6hiqtJPytSlBW8rWPsT4if8FC/27Pius8XxB/a/wD2jvEdlc7hPpE3xf8AHFjoDh/vj/hHtL1mx0NQw4ITT1G35cY4r5Gvr++1S7nv9TvbvUb65cy3N7fXM13d3EjHLST3Fw8k0rseS8jsxPU1Uor9gybhzh7hyh9W4eyHJsiw1lH6vk2V4HK6HKtl7LA0KFOy6Llsuh5VbEV8Q+avXrV5fzVqk6j++cpMKKKK9kxCiiigAoor9Bf2Lv8Agl/+2b+3lqlt/wAKK+FGor4FN59l1X4xeN/tHhL4UaNsk8q6LeKLy1mk8Q3dk+0Xei+C9P8AE3iC3DpJLpSQkyr8/wAT8WcMcFZNi+IuL8/yjhrI8DHmxWa53mGGy3A0m03Cn7fFVKcJ1qrTjQw9Nzr16lqdGnUqSUXvhsLiMZWjh8LQq4itN2jSowlUm+75YptRV/ek7RitW0tT8+q/Xz/gnx/wRY/a/wD2+7rSPFWl+Hn+DXwEu5Y5Lv43/EbTL210zVbDcBK3w58MFrPWPiHdFRKtvdWEmneEhcQS2moeLdOulWF/6wv2Bf8Ag3W/ZK/ZZbRfHvx8+z/tUfGWy+z3sTeLtHjtfg/4X1FNsqnw/wDDm4lvYfEc9rIWiXVvHlzrUFw0VvqNh4b8PXi7V/oUt4ILWCG2toYre2t4o4LeCCNIoYIYVEcUMUSBUjiiRQkcaKqIgCqoAAr/ACi+kB+05y7Bwx3Df0fss/tPF2qYefiHxFgp0suoP4fb8O8OYqMMRjqiUlOhjc/p4TD06kGp5Jj6E4zf6bkfh1UlyYjPKns46SWAoTTqS/u4jEQvGC6OFBzk09K0GrH5v/sC/wDBKn9kv/gnl4fj/wCFSeEP+El+Kd9YCz8UfHHx1FZav8RdbE0ai9s9Lu1t47LwZ4cnkGB4d8LW9hb3MEVqddudd1C3/tKT9Jf/ANXX+vX/ADmlxSYHp/n0/wA9Og4r/H/i3jHirjzP8fxRxnn+acS8QZlNTxma5viqmLxVRK6p0oSqScaGFoJuGFweHjSwuFpRVHDUaVKMIL9TwuEw+CoQw+EoU8NQppKFKjHlitVdtJJuUt5TleUm25Su2xaTH1/M+/8An8valor5pXW1l8vLffb8fzOjXT/g6a+m/ra33iEe5Gcjr+Pfv1xjoM+1GDnrnp3+vYAcdfqQKWkx/n6Y/qO2Pei3kvuXl5/1byVzX+n6eXr/AE9E555ORx1Htz0IHtx/OlAwe564zg+ntn9T0owP6/59On6UYx+WO/8An+tP0WndJbaef9WWmmr/AK8unW33bX/Ix1Pf6+w9uOfT6+mDnP8ALn9CMd/xx+VH/wBb/wCt/wDq7/jS0u2iv6Ly132Xz2XZXWvZff8A8ATH4/U/X047+n8hS/8A16TA9Px78ep6+34+maMDsB/n/wCtx/8AWoWy0ve3Rdlvr+X49TX+m99PLa+/kLSY+v5n2/z+fvS0UK/VL7lpqv7z7X+7qrBrr8ur7LRe7t/wdmMJwM5PBxjI+v19PcDn1qu2CD3J56gjjqeT7EZx25qWQ5OM4xnn+f8An2yDVVyAOCT2Bx06/mc/QZ46Hjqow2fV2ei+5Xv1/rY1hHrrfsvk+3p6/ehjtnOckDjnGT1zjIOeevpx1qjPIRwD05P1PTn+f161ZdlUZHQAZ68nP59/wrKmkOSSe578bj1PccY/p0r38BQ5pR03a/TXXT8t9e530Kd2tOuvrp8tFpf0sU7h8DGeen4Hqex//VkGuevJgAwB6cA9s49s/XPbv7adzKBuPQdAOv8A9fv0yfxrz/xb4k0vwvoWs+JNbuks9I0HTb7VtSunPEFnY28lzcuBwXcRxsscY+aWTEaAs6iv1jhfKK+NxOFwuHoVa+JxNajQoUKMHUq1q1WUKdKlShFOVSpUnJQhCKvKcoxim7I+jwlOFOMqtSUacIRlOpObUYRhBc05zk9FFRTbbsoq99j8xP8Ago58Whb6f4b+D2lXP77Unj8V+Klif7thayyQeH9Om2kqRdXqXWpzROFkQ6dpk2Ck4J/MTwVpL6rq8A2kpE6k8EgsTx09BxwPTnAxWn8UvH+q/FP4g+KfHmql0ufEWqTXUFqx8z7Bp0YW10nTUb+JNP02G1s1YAGTyTIw3uxPs/wV8IvNLbzSRfNIyuTtJ6kHB45HQdO3Sv8ApC8CPDSj4TeF/DPCHs6azOjhf7R4hq07P6xxBmSjiMybqR0qwwknTy3DVdHPB4HDNpO5/IXGfEEuJeIswzOLl9VdT6tl8JXXs8Dh7woLlesXV97E1I62q16mtj7b+Bvg8/6H+6/55/w/Tnjt9MHjkV+yHwN8If8AHn+6P/LP+HqOM/l7D6j1+Gvgf4NP+hgw/wBz+Hjt+X+fpX7GfA7wdj7J+6/udV57dfb3HPav18+WPsX4caGNM0eOTYA7oqrjAOAMnn9AfrwOlejlW9O3qPTHr3AGar2duLS2ht4xgRoq8DjI6nO3nuQf8MGxl+4J/DH9Me+T0/PIAbW9D+YI7dvqP5dccm1sH39x+f8Anvg9qXL475/3fp7fX8hRlsHIPtgdOvt9PXj3oAQqx7dyc5GTn/P86KMv7/l/9aigCQEe2OufqT/hz70E8j8eR+ue2OPXt04qIMQPy+vc9h6/gOAeCaM/yxjp1GD68evIPJxg80AS5Bx7jP8AL/Gl/wA57f5/z61CCecYGB16dx1Pfn19T2oLcnHA4wPp+RA6/nQBDfWyXlrLbuAyyKy844ODj8iP8mvz9+OHgvm8/c5Pz/w/X2r9Cc5zxjryO4Ab1/wHf0rxv4qeGY9T0+S5SMMWRg+F/iAPPfqOffmgD+dP43+Cv+PwmLJw/wDD9QO3+eeteQfs1eM38PeItW+GWqylbbUZLnWfDJlOAt5GgbV9MjyCf9It4xqUEa4RWttRc5kmUH9Hvjf4G3fa/wB1/f8A4fr+v+fQj8lPidoOp+GdbtvEOjSNaapot/DqVhcKufLubWUSx71yA8bFdk0TZSWJnjcFWYV+YeMnhrgPFnw74i4KxvsqdfH4V4jJ8ZVi2suz3B3rZXjbxTnGnHEJUMWqdp1cBXxVCLXtWfR8KcQVuGc9wObUuaVOjU9njKMXb6xgq1oYmjZtJycH7Slze7GvTpTfwH6iWU+cAnPY+vt/Xv1BJrobeQng/QfQ88fTjA5OPwrxT4Z+OtP8feEtG8UWG1BfW4W+tN4Z9P1K3bydRsJBw261ukcRsyqZ7cxXCjy50J9atpsgc5Ixng89/UA//rr/AJvuNuGMwyDNs0ybNcHVwOZ5TjcVl+PwlaPLVw2MwVaeHxNCa1SlTq05wlZuLavFtNN/2DVdDGYejjMLONbDYqjTxFCrTd4VaNaEalOcfKUZRavayeqWqOogkAxnvgZA/X1OcDn1zWirAc9x+oz+A5HuSf0ODFJ0P9fzx06dunHA6ZrWhkyPXAwRxgj14/DP/wBc1+N4/CuLlp6emm3p1T+ex4Fena629bX6a+nT8urNBTyMDHXt+OByMYGPxOSO5soeME5I+gzx/wDWqghxjB5xntxnPHucZPTnrU4c8EZ49j+Wefp068njg/O1ae6WnnvZ/wCT8/0RwTi3p1XTr999vz9C3xntn9e3/wBb9KKQHIH4Z/z+BFLXI992vu7rvrfW3/BsYbflq21+f/D+rCk49Af8kf49e+aWj9P1ov59u3l/n+OnQV10f338u77NfN+oUUUUu2ttv5fK3fv9/lYeje/4vyfe1tfnp2CjP4/T/P8AkUUU+m9/uv8A5dV94dN/K93re3nu+mr9Qo+tFFHbVtadvK3+eny6CVm99vXsvPXp0t99w/z/AI0UUUuu73/u26fPXRd/wH6Pp5+r1vvZq3VCZGcfQ/r+vboOD3zRx6DnH07dOntjHp0zwVop9tfy7r/htPzsGnf8b9vP0+/zCiij/wDV9f8APP60kl0f/pOq07Lbb8PIXzejt9r8ddd99vkjN1jR9I8Q6VqOheINL03XND1ezuNO1bRtYsbXU9K1TT7uJobux1HT72Ke0vbO5hZ4ri1uYZYJomZJEZCQf5yf25v+DbD9lD9oN9Y8b/syakf2V/ibd+fdnQdI099c+CWuXzFpDHceCvPg1DwQbhwlulx4I1G30HTId80fgjUJyQ39JFFfpfhn4w+JXg7nP9u+HHF+bcMYycqbxdDCVo1srzSFN3hSzbJsXGvlWaUY3fJDHYSu6TbnRdOpyzXBmOVZdmtL2OYYWliI7Rc01Vpt2TdKrFxq0m9LuE43+1dNp/5Xn7ZH/BKj9t/9hq6v7z40/BzVr34f2kzJb/GL4eC48bfCy7g3+XDc3fiPTbVLnwqbp8i1sPHOl+FtVuNrNFYPGA5/Oqv9lK4t4LuCa1uoYrm2uYpILi3uI0mguIJkaOWGeGQNHLFLGzJJHIrI6MVZSCRX4xftc/8ABBT/AIJ6ftWvqev2/wANZfgB8RtQM07eOPgO1j4Otrq+k3SCfW/AElle/D/U1muWafUbm18PaTr+oF5BJr8UjiZP9WfB79qXlmIhhcp8b+DauXYn3KU+LuCIvFYCo/dj7bMOGcdiHjcJGK9/EVsszLMpVJyaw+VUYKMD80zXw3qJyq5NjI1I7rC4z3ZrraniIRcZbpRjUp07K3NVk3c/zSqK/pQ/ak/4Ni/22PhG2o61+z14o8C/tPeE7cyy22mWNzB8MfietumZGM/hfxbqcvhK88qLCINJ+IF5qN9MjCDRo3khhf8AAz4wfAD44/s/eIG8LfHH4RfEb4S+IA8iRab8QfB2veFZr1Yjhp9Mk1ixtYNVtGHzxXumy3VnPGVlhnkjZWP+lPh144eEni1hqeI8PPEDhviapOn7WWW4THww+eYeny83NjOH8esLneDVr64rL6KfLKzfK7fn2PybNMsk1j8DiMOr2VSUOajJ/wByvDmoz/7dqM8iooor9VPMCiiigAooooAKKKKACiiigAooooAKKKkiilnljggikmnmkSKGGJGklllkYJHHHGgZ5JHchURQWZiFUEkCk2km20kldt6JJbtvokBHRX6R/s7f8Eif+Cin7TzWNz8Nv2X/AIh6Z4bvvLkj8bfEuxi+FXhA2UmP+JjZ6r4+l0GTXrNAck+GLTXLh8MsNvK6lR/QB+zJ/wAGpV27afrf7YH7SMMEYMUt78Pf2ftLaaVgcSNDL8TfHmlxRxOo/cXNvafDa4Uku1rq2Fjlb+efEj6Vv0fvCqOIp8V+JnD0szw6lGWQZBiHxNn3to3tQrZbkUcdVwFSbVozzR4Ggt51oR9497L+Gc8zLleGy6uqcrWr14/VqFn9pVK/IqiXalzy7JvQ/jfiikmkjhhjeWaV0iiiiRpJJZJGCpHGigs7uxCoigszEAAkgV+wv7IH/BC7/goP+102l63a/Cub4HfDW/MMzfEb46pf+CLaewk2yC60DwbJZXPj7xEtxbkzabe2nhuHw9et5av4gtY5BOv9637K/wDwTB/YY/Y1WxvfgX+z74N0rxfYom34leKbeXxz8S3nC4luLbxp4sk1XVtDN0wD3Fl4Zk0PSiwXy9PjVEVfvqv84/Fr9qfmWJjics8FuBYZXCXNTp8VcdSp4vHKMvd9rg+GcrxEsDhq0HadGtjs5zOjLmSr5auVxl99lfhtSjyVM3xrqvRvDYJOEOjtPEVI88k72ahSpPrGp2/nw/Yt/wCDcj9iP9mttJ8WfGmG+/aw+JtkYLk3PxE06DSvhTpl9FtYvpPwptLq/sdWi3bo5I/H2s+M7OYBLiDTtPmAC/v/AKVpOl6Fptho2iabYaPpGlWkFhpmlaXZ2+n6bp1jaRrBa2VhY2kcNtaWltCixW9vbxRwxRKqRoqACtCiv8w/EXxY8R/FrN/7c8ReMs74qx8XN4dZjil9Qy9VWnOlleVYeNHK8pozdnKhluDwtGUvelBybb/RMBlmX5XS9hl+Fo4WGil7OPv1LWs6tSTdWtJKy5qk5PpdJ2Ciiivzz5vpvy36eXS/Xvodz336+b3t56b720uvmUUUUW830193Xz2/roG3X8W3rbz/AB6XXncooooWq3f/AJL5drrz7/gF137d+8et/wCr66N3KKO/58/l/P8ApRRst300937trDXr9zb7eevTXTfzYUUUU9/tP/yXstdvP+lYO2vXXfrbpfTfztcKKKKW/V/+S+Xl6fh5CVn1e195fnfTfbfYKKKKF6vt9nytt6/1pc+a6d/Lz18vXfV3KY5wOOp6f54/mOtPJwCfSqrMSWOCB2JGOOnfHPT1+ma0hHmaerXnbW9n0/Hpp6MuC5nfotb62vZOz113vbtoNYkenPPIGfT19Oeme2MZArs3JPfkdMY7cDH459Mg9qkduo6EnB4GAOmM9MDj68exqpK+1fc5AH59s9B9ePr19TDUnKSuuutt/PfSy1XVejZ1043a8mlp+P3f1sV55MZA6D07t7/T9Oe+MZNxJgYB5J+vrz/kn6ZzVmaQDJycDPJ6/U9OuMdfcViXMuNxJ5PA9cdP85HqDX22T4FzlHTe3TppZa63er3emmh6+EouTWml1v8Afe3zbfa66mfeTY6HpwB79ifYDnnp096/Kz/goh8aBpuiaV8GtEu8X/iEQa74vML5aDQrW4LaTpcpU/K2qajAb+eMlXW20y33K1vf/N+iHxF8daL8PvCPiHxp4iuPI0fw7ps+oXTAr5s5QBLeztlZgsl5qF28FlZRll825nhTI3E1/NH8Q/HOt/E3xv4j8b6/J5mqeJNTmvXiV2eKzgJWKx062LfObXTbGK2sbYN84gt0L5fcx/06+gh4LPivjWXiBnGE5+HuBKlGtgvawvSx3FVWCqZdSjzJKayem3m1ZwfNQxSylSUoV2fGeKnEiyXIY5LhqnLmGeQlTqcrtOhlcXy4ib6r63K+FinpKn9as+amUfDOlPq2qW8KqWRXVnwMg8jaOn4/41+m/wAD/BWPsgMP/PP+H6D0PtXyL8GfBb3E1vNJGS8jKxyuepGBn2HFfr58EPA2PsmYc8IPu+uP8/ia/wBmj+Xz7F+CHgrH2MGHj5P4enTnp+lfrx8JfDKadYR3LxhdqLsJH8RAx+AxnjGK+Rfgl4I/48/3P/PP+H6V+imlWMenWMFsgAKRjcAOrkYOfQr2+nvQBr5/Dvz/AFozzj/OeDj645xj+RqPJAHPX375PXPUHnP4Z90J/TGOOh4//VznOBnPBABKD/PA5/8A1Yx3HUUZHv8A4dRjj3B+p/CogR+OeB27dSc9MDHpjmlB6+px6j1yevHrnt24oAkyO/H1x+X1Heioix9Tx6HqfXjHH+e5ooAeHz29O/Hfqf6devfik3+36+30/wAmpKKAGB/b+uefpSB/85/+se38uOTipM/5/wA/54NH6f5/z+dAEe/J6EYz+gPX9PWqWoW0d/aTW0igiRCBnnBwcH25x68E1fJ/DBPtng+mf8j1pSf5gdvUZ/n/AC455APzw+NvgUf6X+6/56fw/WvyC+NngP8A4/P3B/5adRjHX2H+elf0ZfE3wtHquny3CRBm2MHwvOcHBJI7jrz1+tflD8a/AX/H3+5/v/w59e5AAP0oA/I/4G+N5Phl8QpvCWrzGHwx40vI4oHkJW30zxL8sFjcZPypHqqCPTbltvM66bI7JFBIT+ktncdOe3B9hxj6jn8OvAr81fjT4CZWumWJldS7KyghlZTkMrAZBB5BAGD0PFfSX7OfxXfx74XbStauM+MfCgh0/WRKw87UrXDJp+uKp5f7bHG0N8VPyahDOxSOO4tg3+Wn09fAq86fjHw7gr0cU8NlvG1GhCyo4q1PC5Vn0lGLSp4qKpZXj6j5YxxNPLanLOrjMRUX9CeEXFSxOHqcJ4+onVoqriMnnUa9+jrUxWBTevNSbliaC1bpyxEbxjRpxf15by9Bng4x06/kP8TyQQDxrQyYIxzj3HTjI7846Y/pg8nazhgBk88gHggjrk/r1B69ABW9BKCAM4YYyf8AP6k8ds8Cv8g84y9wlJctrNq70s9F8r7Wvv8AM/VcXQ5W3bv0/r0fTz6HQqc4xjnGDgHvx/8AX9voKsI/tkjr1HT6/px0465rLgk9T1PGc8N7fXPXP9avqcYIHQYPTp0J55A7+mc9OSfgsVQcW9Plb5+vp59XfTxasGm3276XX+a+8uIxGM9Pc9Dhe3Xqe+T+YqbPXjpjqQPxPcfz9qqKwxzgg4I4x169B9CP1x2nRv4eM5wM+3QnqSAcAe+RkYryKkGne2q39NNfyTOSaW6+f+f4/wBWZJk/3f1H+f8A63NGe+B69R6Mf89RyccCk47hOp9vTpkf54ozx/CM5/Lntg9D9QecdayMxQTx8vHsR/n6e35UuT6H8x0/OmjGMkL0/HGBjIwf/rUev3Bg8e31PY/zwePQAXPOCPTuPUD/APUePTrQCfTgAYwR39O2P8PyTPQ5Xn+WRz0znOfQdD2NJnHXb0HXr0GOg5HTgZ+vFAD8+3bPbn26/wD1qTJ/u8c85Hb/AD+FGeSBj8uQSMZ49+v15I6UmeP4R16ew6/QkZ+nrRo/MBc9cD17jrk+v/18Zo3H0/8AHh/nA459CDTSR32/5J5B29c/XPJpT06J/P6dB6fp6UAOyfTv6j1A/r+Yx3pAfYduhH+z+fX9B6ik54+7nPb2IGOh9QO2PfsZGcfLj6/T2/L1/CgBcn059iPfr09Pf9KC2O3r3HYZ9T/+rmm8ZONnb6D8doznI79aXPOQF9+CM8ZODg5Hv9PUEgCk+w79x23fl0/DJ9DS59vXuO34/wD6jTc/7vf8vmz27ewOep4NGev3e+T17njGOxx169Rk0AOyewz+I9/r6f5xSZz2HbuP9n/H8ce4pOSM/KRwTxn1ycew/kenSjpj7vp/6D0wP/1celAC5Pp/48PTPXPP+HNcx4v8F+DviDoV74X8e+EfDPjfwzqKeXqHh3xdoeleJNBv4yCpjvNI1m1vNPukwxBWa3kHJGOa6Uf8BPf047/w/XvnHUGg5/2B/hxxnGOhA+hrWjWrYatSxGHrVaFejONWjXo1J0q1KpBqUKlKpBxnTnCSUozhJSi0mmmhOMZJxklKMk1JNJppqzTT0aa0afQ/Gn49f8EC/wDgmH8d3vb8fAZvg34hvTIW8QfAjxJqPw+W3Llj/ong0/2x8M7fY2WTy/A4I+4SYlCD8e/jJ/wac6ZI93e/s+ftd39ogL/YvDXxk+HltqDHJPli68b+CdX0wLjAVjF8PmzywUEbK/sb6Z+7/Lnken14yT15OaMjnO3v356n2/Ljnr3r+j+CPpgfST8P4UaGQ+LXE+JwVDljDL+JauG4vwcaMbJYelT4nw+bVMLQSXLGGCq4Z01/ClB6nz+M4V4fxzcq+V4eM3q6mHUsLNv+ZvDSpKT7ualfrc/zp/ih/wAG1P8AwU48BPcN4T8M/CD40W0RZoZPh18VtK0q4njHK/6L8VbL4bssxX70KySgN8sckowzfBXjv/gk/wD8FJ/hw06+JP2KP2hblbct50/g74fat8R7ONUzukN78O08U2ZhUAs06zmEKC5fbzX+qZkY/hxjnjk474wOMj9OtLkgY+Uc8dQOCOxH/wCr8DX9O8O/tSvHLLoU6PEPCXh1xJTgkpYiGAzzJcwq7Xc6uFzvEZem917LK6aTb0asl87iPDfJal3QxWPw7eydSjWpr/t2VGM/vqs/yBPFHwC+O3gh5E8afBX4teEHhJEqeKPhx4x0B4iudwkXVdGtChXBzuAxg56V5VLBPA7RzwywupKsksbxurA4KsrhSCDwQQCD1r/ZQz/u4OD7fw57Hv688+1Zl9oujap/yE9J0rUAylCL6wtbwFcY2nz4ZAR1GDxgkAGv1XA/tZ8bCEY5n4F4WvOy5quB8RauEhfq40MRwVjGk+ieIdu7PMn4YQbfs86lFdFPAKb+co4yH/pJ/je1LFBNO6xwQyzOzBVSKN5HZicBVVAxLE8AAEk9BX+w/wD8K88Ab/M/4QbwZ5md/mf8Ixou8tjJbf8AYS24cHPU9a3bHRdG0vI0zSdK07A2A2Nha2eF5AX/AEeGMAYGMegx6Y9Kp+1owqi3R8B8ROdtFU8S6dON/OUOA6rt/wBu6ma8MJX1zuKXllzbt88aj/IW8M/AX45+NWjTwb8GPix4taYgRL4Z+HXjDXmlLY2iMaVo92XJyMbQc5GK+ofBP/BLD/go98QWiHhz9ib9pGOOcr5Nz4n+FvibwJYyK/3ZE1DxzZeHbFoT1E4uPJxk78Amv9VzOeQF9QT69T2B4/D1yaT/AL5+gHOc47g454PB6fjXx2b/ALV/jatGSyHwg4Wy2bvySzfiTNs7jF9OaODwGQOduqU4X7o66Xhlg1b2+a4mouvssPSo39HOde33M/zffhz/AMG5f/BU3x20Da18JvAPwqtbgqVvPiN8XPBDrGjYw89l8PtQ8favDgHLRSacLhfutCH+Wv0T+FP/AAad/FvUGtp/jh+1v8O/CcY2Pdab8LPAPiPx/LKvBeCDWfFmp/DaO2YjcBcvol4qkbvs0g4r+3DPA5Xt/TB6cflx1HSk4yPu/h3/APHTjnpzX4nxP+0o+k3n8akMrzLg3gyM00nw3wpQxNWCenu1OK8VxNaVvtKKabvHlaVvYw/h9w7QadSni8Xb/oIxUop+qw0cPp5ffc/nb+DH/Bsl/wAE6fh01refEmb4z/HvUI9j3Vp4z8er4R8MzSpjP2bS/hjp3g7XLe3ZsFoLvxXqROdrSlCVP7BfA39iT9kP9mlLc/An9m74P/DS/tU8tPEPh3wPoSeL5kUbAL3xpeWt14t1AhQQH1DWrlxlsNlmJ+os9Pu59gSPzHfJ6e/qRlTyT90HHXuMHHXHGPz9PUfy5xt47eMviMqtLjbxN404hwlbm9plmMz7HU8mfN8XLkmFq4fKKfNtL2eChdJRekUl9Jg8lynL7PB5dhKE1tUhRg62m376SlVe3Wb113FzjAA+nI+nc9R079ueaXPt+o54Pv7f5wabn2XqO/Q84P3eec9D+XNHrgrgE/lycf8A6vTvX5OemLknt2P8Q+nH0o3HsP1A7Z9T25+lN9fu9CcY6kev0Occ+/0Mj/Yxnt69ux4xxn68ij+vuAduPp3x1Gf8Pbr14o3H0/Uemfbtz9OaQ544T+fPfoOO2f50nJ/uHj0J+vQdeeg9elAWXby+XYdk/wB39R/n1/KjJ9PyIPp7j1/+vzSZHfb79ef07nGPYZGeyeuNnB6nt7DgZ6daAHZPp+o9wO/qMfyzilz7dfcfh0J6/wCc00deNoGfQg4HX/Pt7EUD1+XGOgyOh9MEkj+vHuBbr2/Udn2P5j1x6/55pMnsMj6jvj/H1/nSZ4/hGMc9c9Mdh2z2yPYUHP8Asnn0zjOP5kjPXGRyaAFyepHr3H69OmPw/kbj/d/8eHXj/H+XrTc9M7D1/DBHA69jxx7891z/ALh9eeMdu30HU9uBQAu4+g+u4Yx6/T8PX0oyf7v6j/H6fnTec/wD168/j9R27ilGR2XByOhH1HT889gfSgLLt/X9JC7j6D/voemf5c//AFuaXJ9D+Y9cev8Ak8UwkY/h9vb9D3zx6fnS/gvbAAyeemRgcc+nfv3AFyfT07jv+P1/L8lz7fqM9cDvj269eOab2wdvJGBg49+PyI+vXBFNZsAjjOOuRnHPHQY449MdMU0m3ZAld6LV9fw1/AR2JOOAAecj88HI/l6dxVd2HPXj34z0PAz24pzEYwO/P4cY/px1wPoarluhI4zwMkH+fX6A46ZBrso07tf189+v4b7HRGOyX329Lv8A4f07CMcDB6/xHgcDJGe3Q9v5VmTSZJx3z/3z2/E9/wABxgGp55Ooz06+54wPw/z0rKml2gnIyc9T35yPy4H0+hr6XLsI5yjp2776WX9W87noUKV2tO1vS636a7tadO7K1xKOQD0HOP5c/wCT3AJrnryfrzjr0PQdM+x7Z/XINXbuYKGx6de/Poc9T6dASB0xXyh+1H8dbT4IfDi/1mCWCTxdrfnaP4NsJNr+bq0kWZNSmhbO/T9EgYXtySnlzT/Y7B3R79HH7n4bcC5xxnxHknDOQ4OWNzjO8dh8DgaEU1F1aslz1a00pRpYbD01PEYqvNezoYalWr1HGnTk17NTEYTKcDiszx9RUcJgqE8RXqNaqEFdRgtOapUlaFOCtKpUnGEbuaPz9/4KBfHb/hI/ENt8G/Dl35mjeF7iPUPGM0En7u+8RmMmy0hnUkSQ6Fbyma6TeynVbnyZY0uNKRj8CeD9Ck1jVIVERMcbqT3BbIx7cdT35FYc899q+oT3d3PNfajqV3NdXd1cSNNcXV5dTPNc3M8rlnklmmeSWWRyWZ2ZmJJNfXvwY8BM7WzvCSzFGYlc7iTknp6+o/HFf9G/hV4c5P4U8CZDwTkyjOnleGUsfjVTVOpmmb4i1XMszrLWSlisS5expzlN4fCQw+EjN08PC38d8S59iuJc5xmb4q8XiJ8tCjzOUcNhafu4fDwe1qdNLnkklUqyqVWlKbPp34J+A/8Aj0/cD+DquCent6+9fr38EvAmPsn7kj/V/wAPHb2/rXyz8FfAOPsf7n/nn/Dn09c5/A/hX68fBPwER9k/c4/1fRc+nYjP5V+iHhH058JfCcem2UV1JGMIi7QRjLYGPXpyTXuu/pxgY9fr049v6VS0yyj0+zhtowAEUbsADLYGe+Ppn2q/njP/ANbv7n+f/wBagBu8Y6fUfjj0+np160nme36//WqSigBm/wBvX/PT/wDVSb+px6d/8/oPrT8/1/p/9f8AEdu5kf54/n/np6igBhf2/X/63FFSf5z60UARAgD2G3t1PJPpjn+Q69KC2Rj2PJ+h7Z9DjOST7nFOynt+X/1uaMp7fl9f896AGg55PXH0zyO+Rg5HXHTrnFKG6nqQPTHGfbPt1/PvS5T0H5f5x+OKMp7fl/8AW5+lACMckjngHv7HPB449vfrmkDHOPVs/wCcY9vTPfOacSvbGec/L7HPXH+fzoBTpgcnjj8u3/6u+ORQBBcRJcwywyqGSRSjcdiDzg56dR05Az6V8VfGjwCHF0whBBDkEDIIIODn3/D8a+3Mpz049v8A61cf4y0CHWtNlTYDLGjY+UZK49fb06YzmgD+eP40/D7/AI+/3Hd/4fr7dfrgn1r83rm+1z4QePLDxtokTubKVoNVsFYxx6to07oL/T5TgqDIqLNbSurC2vYba5Kv5W1v6CfjP8PP+Pv9x/z0x8vXr7dPUfiMdvyV+M/w7/4+/wBx/f8A4enXrx26H1GOteZnWTZZxFlGZZFnWDo5hlOb4LE5dmOCxEealicJi6UqNelOzUo80JvlnBxqU5ctSnKM4xkunB4vE4DFYfG4SrKhisLWp16FaDtKnVpSU4SXR2a1i04yV4yTi2n9SeDvFek+LdB0nxLoV2t5pOsWkd3aTDAYK+VkimTJMNzazLJbXcDEPBcRSwuN8Rx6FbT5CkHp16ZIxx0z257Y/M1+VHwF+J83wl8YSeCPElwYvBfie/X7FdXDlYPDuvTlYo5ndjsh0zVSEt74nEVtdLbXrGGI38r/AKeWdz057ce4xnHpkduTx+Ir/n1+kn4F5p4O8cY/Iq0K2KyLG+0zDhfN5wSjmWUVKloU6lSMVT/tDL5NYTMqajBxrRhiYU44XF4ac/7B4X4iwvF+SUsxpclPF0lGhmWFi9cPjIpOTim3L2FdfvcPNt3g3TcnUpVku0hlyAex/Mgj+Y7fjjua1YZMgDPI/Vcf5zXMW83TByDz9OO3+frz01opRwR6gjPbv09D/jX8f5ngHTlK69dOmmtvmtPzsbYmjyt3TSu+mq/C22/kvK5tK2O/Bz+BPUc9ufz/ABNWlI69Dx0yOPb6Hjj0rPjk3D0z94Z/Dj2/EH881ZU468jsc5yD747g4Hf06c/I4ig4t9On4r77/rf08qcGne1l+X/A7dPwLqnIxnBHtnI9vp9Pf1o5I6k4z2PJ+bp0I9OnBxioVPIbPP1B9PT1xyCOuenOZgdwOOMZB5xjgnoR05x14x7ZrzZxs328uj/r5fhfmlG223o9P+B2+7oOyQOpzxj5SffB9T2PP5GkyfUn/gHX27f069aUAkHk+2SDn9Dx+eefxOffr3I/THtyRxzxzk1BIc5GcnAx0I53Dn/PHGenFJz6t0GOCew69snkc9PXpS4we/4kDqw6euf5cdeKbg574IHQrnoO/fHb8wfUAdzk8n2+XI6dvf8AHGe3onPqT1/hI7dvx7ZH+Lscn0zkfzx785znjkY9m4PP3u/de/Ufj9OPbmgAOecbuh6j39R3x0xx6elHOOp/75OT7cHj9PY0YPPXkHoV9TkZx3+nfB6UvI6Ak/Ud/wBOPp29zkATJ9zznoQcAj+fP4daOe+ex6Y5+X3/AP1c0YOe+M+o/vZ6Y69/09qBk45P5g/3fb8T6/jyAKSfUj6If/r9f6fmnPvzk/dPHHTk4PsOee/NGD/tZ78r39OuB9MdvwXB5PIwPUc8d+O3vkA9OKAE55xnv2P+1j/OOuPXgGeRn1GcEnqe+fy6+h5xk9uep6EZ/i7Y6n/PQ0YPPXvjJGM9QcDpzyePTtmgAyfU9B/Cf/1ZOfQ9PzOePvcY7f7vX9emT17A0uPY4+o98fQjA6Y5PtSYPfPbqRx93255+mce/IAgLHHJH/Ae/Hb+px3pSW9T/wB8nA/n+fPTj0IB9ffkHsOPx6fgO1KcnsR36jrkfXgdf09KAEJJz15B7dhu9cYJGKUZ/Hp0JHVvf/6wGPWkwR1z+LDPRu+PxH8+ODB9T1PQj1P0x2z9cY9AA59T6fcP5/j/AF6Dsc+/X0PqvqSQOPp+VLg+h6HjK459eOv1zznJxyTGAOvrgkdcjjp0Ht9O4oAQ5GMZGMdj/sjGM/Xj6j3peeCSR14Cn9evH5HtxzhMEjuenG4eg7469/170oB46/iefbnk8Anp3P8Ad6ACc+p4B/hI6A8nPrx/h6BJGcbuvpnj5unP06+3bilIOO+fqPTofXngd++aQg89fzA4+Y88dz/P2oABu7k9+Nucdenr+v5UAnPc/VSO/X8snsBxx2CgY/vHrjkeuc9uvvn06dUw3XkdO445PtyB/XvQADJx17Dke655z+PT1peQBgngAfdJPT69uvt0+qYPA6Yx3H+z2/l7/WjB/wBrt3GB/ifcj/GgA59T6fdI/HqOn+R6hzzgnvgbeM59vp1Prn1FGCcZz35yMj8h0+mPcYxS+px685HY/wBcc8ccZ6cABkjvn/gJ/wDrD8Ov48UnI7nr/dOP/wBQz69hj3XB9+vqMf09ehGMgZ4owR098YIHbjtz0A5yevpQAmSO5PX+E+v1/LoMfhQScdT252nPX8v05o/PHI6jH5E9gPbHfPNGD6Ht3XjBB9MeuPpjA4wABz6n8FPP5Ht6ce4PcyfU5wf4ef14z7dO2c4NLz2B9zkeuSe/8h19hhMHgHIxnHI9APTt0zjj15oAOfUjj+7+PPXn2HfHvQSfU+vCHn2/zjr19A5yTznHBJXPftjHv9B17UYP+1+a5/X+WfXj1ADnBGT9dpz36c4H5Dt6cHPHJ6HOV79f849OOtKAc55HPTIwffp/Pn8hRz2yOvGR2P0Oc55/XryABJ55/JTn9T/9Yj8cJz6nqD90/l29OenWlwfft1IPsfUcjOPcnPag59D+Y6nHTPI6kdR04wTQAZPqe/8AAf8AH8v1pOSep6f3Tg9fXp+YzRz6HIzjlf8A659PwPUjquD3B4x3BzgnHofft7+4AmTnqf8Avk4/yPzOevoc8cnv/Dx6+ufp6/XOV59Dx05HofY/T9fWjB5I3ZyeMr/9f0x6igBBn1P4r+OePy56nPWjJ9T6/cPHt/n06+oM8DnHoGHt34POcn6jFITgc59P4ccegx68dOnvgUWb0QAWIwc/hgj8TySfTrz785hYgZzyffnk/wCf0x2oY853HPGAO+O3Q5/HPbOeKgLH1PPX8Oec8Y9TzjjjNdNOle2zu7Pfy022XXvb5rWMLW7/APDaaPW34g7ZzwMdyOOc8jjn8T29Twaksm0H1OccYAHTPHp9e3Xinu4Ud8dh3J/z9ce3SsyWTOST9Tnj+uB6gd+nofcweFcpLS70t2Tdteyt/l01fdRpXe3r57LZ7pfi320UUsnBORxnvzz39c+mT6c+uPcTYGSeeRnPbtj2wOPx7jme4m6nOABzg9euf5e/HTjiuevLnr/nA6enUj6kDnniv0PJMrdScLRbvbTXS/X1er7P3tNj3cHhuZx0eumvy/4N+/3IwvEviHS/D2k6pr2t30GnaRo9ldalqV/cvsgtLOzhaa4uJWAzsiiRiAqlmI2oGZlU/wA5n7RXxt1P46fEfUfE8xntvD1hv0vwhpMp/wCPDQ4ZmaOeaJSyDUtUbN9qLguVklSzWV7aytsfWv7eP7SP/CSanP8ABbwbqGdD0a7VvHOoWshKaprVpKHh8PRPGcSWWizos2pZZlm1hI7fbGdKYz/nd4e0WbWb+KCNS6bwZDtPPOce+e/t71/t/wDQm+j7/qJw9DxM4owPs+KOJcCocP4PEU7Vck4dxEYzWLlCSTo5hnkFCpt7XD5WqNLnhPHY3Dx/BfFbjKOY4pcNZZV5suy6rfH1qcvdxmPg7exTjpKhgpXjvyzxPPKzVCjN998NfCU2r38VzJExXeojBBxgnO7vgn6nA6V+qnwX+Hv/AB6fuP7n8P09u+euMn2rwH4M/Dr/AI9P3H/PP+Hr0/Pnn6Cv1o+DHw7x9kPkf3P4emcH04z1J7V/fJ+Mn0L8Fvh8R9k/cf3P4fpx9evqTX6rfDfwtFo+mxTvGFcoAgwAQcAbvwzjjHX2rw34NfD9YktneEKiKhZiuAFABPYfgB179a+w4Y4oIY4kAVEUKBjsMdvxB44PWgBc9ffgHpgcdumCAPf1pcnAHcjj65P68Dnrnp1Jp2U54HHtn+nrRlPb8unP045/zzQA0MRtHbr/AOPf/W/I0biT6djgc9+OvqT/ADp2U9vy98en+fpzRlPb/vn0/DtQAgb5effGOOwHHvz+HXHAFIDgdhzzkcA/Mf1HH4duKflPb8vp/wDW/wAg0mU9B+X/ANb/ABoAazHPcf568e2PUenWinkp3x+X/wBb/PWigA2r6fqf8f8AOaNq+nX3P+NNDDGOew+vJzgD2/H8eSbvxxznjnII6A55PJ78nOKAHbV9P1Pseecfh+NG1fT9T/jTQwyTjHf9RyRg8+mPf607cPU46knPrjj8fbFAAVUc49eh9jxj+g/lRsX0/U/400nOevBOeg/hb/DAPp24yUzk57ZX2/r7cjngdeAaAH7V9P1P+NBVT1Gc8ck8569Tzxk+9NLYJ5P0Ax+PIORjv+QxQW5/HoenBHXg+/Ixj3wMgHz/APFjwNFf2s1zDCGV1YnC9GwTjp36e/rX5TfGX4c5+1/6P/f/AIevbPTPcH6iv3OvLaK+t5LeYbkkBBBGQpPRvwJx7j04r4r+MXw43C5KwAqwYgheMHOCOOcgD+dAH80nxk+HB/0r/R+u/wDh9fw9/evW/wBl742T6xCnwt8ZXbf8JTolsf8AhHtQupD5viHRbRcfZnlc5m1fSIVAky3nXmnIt2RLLa6hMfqT4x/DXP2r/R/7/wDD7cdvUV+XPxJ8F6p4f1WHXNFmuNM1bSryO/06/tCYri0u7aQSwTROB1R1GVbKOuUdWRmU/jvjh4O5F41cEYzhjNPZ4XM6HPjeG86dPnq5Pm8abjTqPlXPUwGLVsNmWGTtWw8lUgo4rD4WtS+q4P4pxfCeb08fQUquFqpUcxwfNaOKwrknJK/uxr0n+8w9R/DNOMr0qlWEv2ItLnsfx/HGCPQHnPcHr6Hegl4XnjoD7HsccEY989fTNfJX7Pvxwsvix4eMN/5Nh430BIrfxNpCnYsrcRxa1p6Mdz6ZqDKSYwWawujJZSs6i1uLr6dtbnIAzxxz1x9fb0PQjr2r/nq8SfDzPeB+I834Y4ky+pl2c5Pip4bGYaorq6SlSr0KluWvhMVRnTxGExNNulicPVpVqcnCaZ/W1DEYPOcBhszy2tHEYPF041aNSPZ6SpzjvTq0pKVOpTlaVOpGUJJSizrYZcEYI9Oe/sSeR7dun46UbhhkYwcd+QffHpwev5d+bglJwCRxjnpx/nnj0JrUhlx79cjpnqCOR146euPcV+HZhgXCUvd69Ojdrvp/V+jPKr0XFtbLZ/qt72u137mwrc4IAI/IjHTv16Dp398SgkcjkdfvY7k4ORnr374B45qmrhgOeD0YDp04Jz6+vpj0InVzypwOvvkc9Pz9ufT5q+ZrUXF2t5a/k/6/NN+dOFrp7P8Aqz8y6pyOmCOcZP8A9fjpxyP0yvrwOevJ9sZ4756Y6YHTpArYxjn14656ggZ/H16iplYMPTpnI9+ePT19M15848uuttuunr/n0/PnlFx/pf57C8E54wR646Ed/wCWO/1pB+HIHUknkd/XucZA9hS55HJPAzwOpIx24zzx6e/NH1PUDAIGRjn8+c47VJP5af18v+GFxznHp3PYH/H9TSEDnOB1+vue2O2evoaU4H9ePr1/xPHX1o7dTz9Ac4/Dnj8Pw4XZ66+vl/X3+Yv69Nn/AF940Dr0/wC+j2J7+nfPr+i46jjHfJOfx9O5HvzR26jjPYZ4JBOB/n86X8evt3HBx/8AXzwPSmP8RDjPb0685yvUe3/6+tGOnuPXn+Hvx9OOv40E9MHPTt6kf0Ppx1POKOvUn8u42ntnvn9ewoAO3QY/EcD14OB6joOfWg9/Yc5J9PTHcdx79aXjr047jnB7fXPbn9aQnPf1wMc5wc8Ee/T6c80uv/D+Xlb+vWy+X5f59Ov4CEfqT3/3jzjt/wDX9KcOcn6jqe38vw/nSZ6jnv2GMfNjOfp/L1NKOfTqe3of/rDn2/Gn/X3j+X9af18hMccAdupOOmP/AK3v1NJjH1yB1P8As5P4H6dvane39D7f17/4E0h7cnqPQg5x/wDrz259qP6/rRC89Nba9+2v9bqwmBz06f3j2AxnpwPX8e9L7nb09e3p9On49uaPx69eBznAB9uo6+vTGKXPv/nrz2zwc9MZ+lAxox0x9eeOd3HH/wCsZ9qX8s5Pc9yfToewPrxSZPJz264H+17+uMDrnrjJpw6985x9OSR/n6cDNACfgOB2JHHfAx6HtnnA7ZB6dOx6k8ZXuevb9MUuQP6cEY+vp35OP0pPocnoeB6rn9P88Uu//B8v6/piX6Lt+jYnTp9OpPXb09ufTPSnEdBjgA9yO2P8+lJnP446gd9v6c8+/pxS469Py/znqfzp/wBf1/X6tP8Ar8vP+rel2sCfTAB7nPTH4D1556mjAyf6se+7P5c/Tk5zTj37fp6+vB7n/wCt1TuefzA6fNxn8yM8D86P67h/SDHTGPT7xPT0+gz6Yz9aOMD7vByeenPOMjpnqOPSj8eme3qcc/iOxGcUuffuO34+2OCB+nWgXk/6tbz/AK+4b1A/4D36fdOP88/nS/TBA5755/PPsee4pAenPYHoOny/p1/X0p3GAPTGMj24P+cc8UDf+X5/L+u+wn4D/vo49+3P0PXn3yvrjHf19Tkk/wBOPrjmkJHrgc546jpxkYPXtnsO9L2PHr1Hufw/Xnv1pf15/O/9fMWjW2mnby+Xl+XQO/P9ev8ALuf89DHt69z3x/n2wMUv+eR37f5/Wk6dOPw+gHT/AD+VH32+flbzf9Jj/wCD/XoJ2I46EnqBk/5OeePbNHH8s4Y9T64+nBPU/WlOMfh6Hpx+nTj/AApM9twzwOnfjt/P69Rij+uvl5flp+NkvS3/AA3z9PkGPpgH1P8AnI4A/EdDQQD6c55yfYZ47nuMj68mlyPX36duvp069RnnrmkyB3Hv05x2J6Z/oenemP8ATT8gAx2APYZP55/H0P1o+uOecgn/AA59uR2x0zSngdf6+/8AnoAPSjgc/wBOT6fXj6/oaX/A7+Xlf+tXvZa9uvl9++34+QnP+PJ/H6e2MZ4PTgrk+3Q+uePQc8fn1/Mz7++Me4A/XrkcH6Ue+Ox7c9vx/DHamHVf8De6/Ly/yDHB9+vJGe3ueg/GjH88nk+uePx/LnrRj1x+X+exP50f/X7H3/pn6/iMr7/np0ve3/DW1D5Wb6Oz2trv0069vQQ84yBjB6nHHH0/HPQ9/UOOvHY8scc/pgjpxjqO1BI9cdT0/kfrz3zxRnPcfgO/JHPI6D9M8U/66/19+owx1zjJx3PP+TnH5dqMAnoDye59Tknj29D9eKXI9R3+n/1+ozz19OaazADPJ64AHP0xwcZHbHTn3Fq7K/3P+v6fZh6Ld+XdLv2/roBIUdj7ZOSRxjk8DgA5OO2OarszE5Ix0zyMYz7DP8+/qaUucnOfy7e3I7nt27daidvTuDj0Ue+e/T29O1dNOnd7X7v9F+v3voawjbotfx0Xn8ttbegjtnvz2OCcdvb+XJzgdqgdwoOTx3PPPoO/HXH+SVdwAcnp1OP0HPfoOmTjqTznSyk5A4H06d8nrycdMn64r18LhXJrTsvy2328/wA7W66VJtr5ei8v8+n6pPKTntjpjnA/DjJ4+mO1ZVxKMEA/U+g9Px/M/oHzzY4H3ufXIzx2P698cepxLq5ABGT6H368D37449T3x9tlOWSnKHu6XXTzX4L8fM9nC4a7V1+HW/4vXbv3ehDd3AHQ8DjHqe+fYcZxwScdQK+Bf2zP2mE+EnhpvBvhO+X/AIWR4qs5BDNC4MnhXRZ98M2uyhTlNQuSJLfQ4jjbMs2ovmOxjhu/Zv2i/j5oHwJ8E3Gv6gYb7xDqImsvCXh7zNs2r6mEBMkqoRLFpOneZHPql2NqpG0VtE5vLy0jf+efxZ4s8Q+PPEur+K/E2oTatr+vX0l5f3cufnlchY4YIx8kFrbQLHb2drCqw2trDFbwosaIo/0y+hn9GV8d5ph/EPjHAP8A1IyLFqWXYPE0/wB1xVnGFmmqPs5q1bJsuqxUsxm1KjjMTCOWL20I5jHD/DeJHG0OHMFLJMrrf8LeOpWrVaclzZZhKkf4nMneOLxEXbDpWlSp3xPuP6s540MU99chFLzT3EjM7szSO7uxLySOxLMxYlnZiSzHkkmvr/4PfDl3e3d4SzMyMzFTliSuSf8APHSvNvhb4Bm1C6huZ4SzSMpAK52pkHA+vGT1zz0xX6lfB34aYNr/AKP02fw/Qnt2xX+y6SSSSSSVkloklskuiR/L++5658Gvhvj7J+47R/w9vl9vr+tfrH8Gfhz/AMen+j/3P4fofT1IFeNfBz4bcWn+j/3P4PYf41+ovw38HQ6PYxXMkSq4UeWCOcjvjHQZzyRzimB3nhrQ4dG0+KFUCuyLvIGCOmF4xj3Hrwegz0e1fT+dNJB7jg9D7HuMemMd+o5NBbjg9u/OOgOePr25zxnsAO2r6dfc+oH8+P0o2r6fqf8AGmlvrj3/AAyD+ox0H0xgzwOvPcEA9Tjn8D/XrwAO2r6fqf8AH3o2qO36nvx/n9aaG6ZPGec/VvQew6ce3UUmfUnscfhkZOOc8Dpn345AH7V9P1P+P+fyo2r6c/U+/wBPSm7vfnJ46egHPf8AH6noAQNgHnODx2yOfb8c9SePTIA7avp+p/xophY5ODxk9h2/PPbmigB21f736j39vcik2r/e+vI9D7f5GaNnv39PTPuev+RRs56+vY8fr9fb168gChVHO79R/njg0bVHf9QO4PbH+fwpNnv+n/16Nnv+n/16AF2qD19c9PQ56Dj+X6UbV/vZ6dx26e/5Um3vnOcj9CD1PX/P0XZjHPT2/wDr0ABVf736j/PHvQVXufQcn0HT+ppCnJ5x+H/16Nn+1+n/ANegA2r6/qP8PpXOeJtBt9bsJYmVWlCNsJwS3fbx75x7+3NdH5fv+n/16UpnvwOnH+f880AfmX8Yfhn/AMfWLf8Av/w/Ujt68Gvyr+MHwy/4+v8AR/7/APB068Hjp6f5z/R/498Hwa3YyypGDKEbeAo5yOuO+e/5+tfml8X/AIYf8fX+j/38fL9ehxz+PT60Afzq61ZeKPhb4vsvGvhGZrLWNJnZwpVmtb+0c4utN1CBWUXNheRDyp49yup2TwPDcwwzR/p38G/i/wCH/i34Xh1/Rn+y39uUtPEOgzSq17oeqBMyW04AUy2s2Hl0++Eax3lv85SO4jureDyT4u/C7P2r/Rj/ABn7mPX1BHH4V8JWuo+L/gh41i8ZeEmO6NhBrGkTO6afr2lmQPNp96qltp4MlpdqjTWVyEnjDL5kUv8ALP0m/o45Z43cOvH5XDDYHxAyTC1I5LmNRRpUs1w0XOq8hzSrb+BVqSnPL8VO7y/F1JSusLiMXGf6LwBxzW4UxjwuMc6+RY2oni6CvKeEqu0VjsNG/wAcUorEUo/x6UUl+9p0mv28trkMF5x/dPQj2x2I7jv1Hvswyg4B/wDrH3B+n9MnkGvA/hT8VfDPxU8L2nifw1clonIt9S02dkGo6JqaKrXGmalCpIjuIdwaORcwXVu0V1bPJbyo1ex21wGAyc+h7/8A1j6//Xwf8E+MOD804ezTMcmzjLsTluaZZiq2Dx2BxlGVHEYXE0JuFWjWpySacZLdXjKLU4OUJJn9Oyjh8bh6OLwlWnicNiacK1CvSkp0qtKaTjOEldWtrbdO6aWqXWxTYx37Y7Hv6cEc5/yK0EcMB1Oeh9PY9h+YPv0xzkM2ep5xn8vT39McY64rRilwQc9ODzncOmOvUcY/w4r8nx+AcHJcr+fT/gduiv1uePWoNXuvy1232+VttzZRumc59R3GOOox+Hb0qXfnp+uf6A//AF+emOaSSArxyO4PUY9c5+vOR+tTq+0jnPGM5zjn07564yec9hmvnK1Bxbuu/wB3nvdLr2131Z586dt1p57rZ6rs9Py9biOG6nB+nHPPUj6ccdfpiTnpgjtn8M5xjHt6Zqspz2GcDp6dP09KkSQdGOMAfhx7dRz78/ga4JU2m7L1W9tttXp+v3GEoNarbt1/4K/royak7d/6/kf8MUvWistuvbfrsu/X8398f0hv59D6579eMj0HU+nQmj8D1H9Prx6/Q888qPfj8ff1/wA+lLRf5+ny/wAw1/rfp/wfwE/MD69+MdP/ANXXOc0YPqe3f6e3sf19eDv7f1z19P68d6Mnnj/OB7+56elHRfLv/wAP/WtwDGfX8yP89f8AOKOnr09+307/AKml/wA/5/Wij57eqfTu/PX177mv9L/g+v8AW6H8cDJ7D1z6H8fpz1oH49T19iR+X+ewwv4f59P8+tFDv+K+66v+oBSenJ6j+nXA+vB4+nGFpD9P1x/n6fX8Tv5evZef4/8ABult9239f0hP++j17n0H0z+POe3Uhe54P+c9On557jpigf56/pn/AD680tH9fjf8O3XYfXp+vT/g/gJ19c89+3IHb/6/rnFHTP8A+vuT6f56duTkDpk4/lnHfP8A9c0v4f5/Wn+Qa/0v+CJj6/maOPf8j2I9f5/Ug9aWil/XXy83/Xzute/9af8AB7fqNP4gnHp/sjtx6frjinUc+n/1v8/5xRT/AK/rX8A/r8teu3QQ/wCf169f5fnnFIe/Lfhn0PTjH/18d+rqT17D6nnr2HT9e3folstb6efZD/r+v6YevB7+/p6/oMdjjPcGcDg9u/0zn/8AVng9M0tJz+v6f/q+vP50fPZrq/Ja27/d1aD+v8wx3BOOO56ce3sf19eD0HPT1P068f557UenHGP8PfHc/lxS/wCfp/nmj+v61ATp6/qfb60fn+v+e/49s44Wihf18vLoJX62e23XRCdexH4/4H/Palooo7a9PS+2ttP6fyDX8V92l/1D/P8AnrSH8ew4z+h/rwOxIpaP8ih/dr591p89vL0DXrb+kv1v8rCdxwep/r/kcgcj04PXr69z1yOOv1x0HHFLRR87aW3fdefyva+qH/X+Qfn/AJ/T/Prikxn1/Mj/AD/L86WihdNey1TXbz3/AFdu9z+v6/r7w/P/AD9fp2/Lmk/A/wCfqf8A9ec88mloo9PW++/bXt5Wvbsxa9bX/wCGv/XoH+f89v8APvRRRRbzb+fkl+l7+Ya6bef4bfj+AUnfvxj19f19zz3z7rUTPzhccjr0P+P44PT2FOKb2/NtW01/r82NJ7LXbS2y0/4O/ddhWcKDnOc8Anp0xnHbrwM5AJ5BqHfnknP5+mSPT+X09RmwOOp9xxkcZ/zj3quzEng+uT2A5yB19+x7++OqnRu9Ov39PuX9Wd0bRh9/9X6LTf5ddRzOffJ9OgxjH5Hp156Ak8wMwUHk+rHsevoD+hOP5oz7VOcADJJz164Azz6/n7mqE02ePTp3x6H3J56cHjrxXrYXCubWm7W35L8P+Hsl1UqTbX9W8vXz+7zJpSxx0xnA9Pr/ALX6D+ebNNtzjqen9T+P8vqQVmmC5AOWx6n/AAP69fpnONcXAUE554yT2H8/Ydcn17/Z5Xlkpyh7l22tPuul6X8vvPXw2G5mtNv+Bv19F+uqS5uNoI3c4yTjpyOfqccY57ntnxb4vfFvwr8IPB2peMvFl55NpaKYbCwiZDqGtapIjtaaTpsLMPOu7koxZjiK1t45ry6eK1t5pF1PiZ8S/Cvww8Kap4y8Y6kmnaPpsZOPlku7+7cN9m03TbYsrXmo3jqY7e3QgAB5ZXit4Z54/wCe/wCPfx38U/HrxjLr+tM9hodg09t4W8MxTGSz0PT3cbmcjal1qt6Ejl1PUCivPIqQxLFZW9pbw/3X9Fr6MmZ+MWeQzLNKeIy3gHJsTTed5tGLpVMwrQUKn9hZPOUbTxtanKLxeJipUsrw1SNerzYithMPiPA414ywnBuAVOj7PEZ5i6beBwkrSjQi/d+u4uKd40YO/sqbs8RVi6cPchWqU+a+MPxa8V/GnxtqPjPxTcgSTk22k6TDK7WGg6TG7m10uwRgDsjDtJcTlVlvLuSe6lAeUqr/AIfeCbjWbyGeWFim5fLUqTwT1x+oBx+B6ZHg3wlca9exMYT5AdcfKfn56/dPy+nr9K/Rb4RfC3H2b/Rv7n8H07YHp6fXiv8AdDJ8nyvh/KsvyTJcDh8synKsJRwOX4DCU1Sw+FwuHgqdKjSgukYrWUnKc5OU6kpTlKT/AJPxeLxOOxNfGYytUxGKxNWdavXqy5qlWpNuUpSfm3okkoq0YpRSS7P4P/DE5tf9H6bP4fpyePy/+tX6o/B74ZY+y5t/7mfl7cH9T+VcH8Ifhf8A8ev+jf3P4fp04wPXua/Uv4Q/DEKLYmAAKEJJXgAYyenJGPoMfSvSOc9A+Evw7jtoYZ5ogkaKpYlcehx068fn7Zx9QxxRxoqJhUQBVAIAAHAx9cc9TnPJ5qrYadDp9rHbQAIqKAcD7x4yTz69PSrmzHf8x/Pn/wDVQAFV5yefqKUqv949B3Ht/wDW/T2pNmf4vfp6/jS7OvOcgdRzxj/P880AJtX+919x9f8A69LtX17dyOh/D3/Ok2f7X6f/AF6PL9/0/wDr0AAVePmPTI5A/wD1d/pRtX1/Ij9ePx9cDjpS7e2f0Prn1/z+Awmz3/T/AOvQAu1f73t1H+e36e1G1eefryPyP4+vpRs4xn17euPf2o2dQD9ePr7+h/lQAhVT1b9RRRs9/wBP/r0UAKD347cZ4zk59e3Ppj2FBbkYyOvH4ZAx2J47d8A8Gk2N6jt3PbPt+Xpik2Hjkeg6+h9B3HXNADg3TPHHOfqPy6+3XPIpc8n2A49z06Z/Hr2xTQhGeR07EjuPb0z60mxiTyPzJ/mM9qAHsfX3/Hhuh9f8803PPBP3gOp989/pz3x35JNpHUjnPr1w3c+nv7/ibTnPyjnPGR/TH6dvrkAC3v37EdMHrjnr+Q9Dg04nt6Eepx0I7d+enQ4+tM2H2/WlKt146g9zzkc9OPfGOPpQAu7nt17c56DHbPUkds4wetKWx355/DHtx19+54yKaVY9SOSfX/Djp/nijY2eo/z9AKAFYggAjIYYIxnII9Py79zXiHxJ8A2+q2k1zbwqwZWLqF+6TnsM5Gc9R7HPU+3bDnIwP5dMdCPz9abJEJVKSKrIy7SpyQQfXI5/DGODQB+MHxc+Fn/H1/oxzh/4D2z2AHr/AI1+X3xb+Ff/AB8/6Mf4/wCE9efY/l+tf0tfE74bw30E1xBAHR1YnCglSQfQfkTx+OQPzO+LPwq5uR9m5+fnYR6npj16/jxQB+AGj6540+A/jT/hLfCZZ7eRkg1/QZ2ddM8Q6bHIWNrdBVbybmHfI+n6jGjT2M7MR5tvLdWtx+sPwm+LXhX4seGLfxL4Xu965W31XSrhkTVND1JUDS6dqVurMYpkzuhmQtb3cO24tZZYWDD5n+LHwpz9pxbYzv6J3GTzx/n6GviWyvvHHwO8YL4w8Ezm3nQiLVNKnEjaTr2nq5aTT9UtlZPMTlmt7iMpdWUp862lRgd38mfSX+jDkvjXldTPMljhMp8Q8vw3Jg8wnFUsJn9CjH91ledThFyU4pezwGZ8s6uEuqFZVcJyxofpXAXiBiOFqywGP9pi8gxFS9Wiryq4CpN+9isGm17rfvV8Mmo1dakHGtd1P3YtrkMBk/j6eueuPfPB6jOediGbPBOeuDxz9evsPr6818yfBT45+EvjNoH9qaFMbLWbFYovEXhi8kQ6rod24xtkUBPtWnTsrnT9UgjEF0isjrb3kVzZwe/210CMFuPfqOmP/rHv0z6f4Wcb8B51wpnOY5BxBleLynOMsxEsNjsBjKLp16FWNmrrWM6VSLjVo1qUp0MRRnTrUKlSjUhOX9MQeEzHCUcdgK9LF4TEwVWhiKMuaFSD00e8ZRacZQklKE1KE4wnFxXXRTYxz3Ge34N7fp0Pqa0I5Nw4OD3Hv6j/AD6elc1DP05z0wf6Hue3f6dBnSjl6c56HA/zyO30PX1/IsdlsoN+7ZdktbabdH066dDyq2HcXs7eavp210e/X9bG2p69Tz35POOvt39ufQEzKfcHOACMHGMf5HuOhrOimzjJwcfe7HoOc98/r6VZDdMZHt2OeO2Ofbp75OT83Xwri3pp8l2200v/AJ9jz502nt8tenbv5r5eReVsdOR0x9PT0qUMG6dfSqStz1Hrjj68fieOMZ5xUinB3A4I5xg8dSO4GOuCeOeetedUpW1t+mu+q/X/AIY55Qu7rR67/L7i3/n/AAo/z/n/AD04qMSf3uPf6dSfT8Pr0PElc0k4vVfm102Vmt7efXuYu66NbLp5aav00E5z26fj157c9f6Y5zR6fy69CPUZOP8AOOoWj8P8/wCf5ULZafm+1un52t94LyVvu207Pt+W2yCj/Pt/n8KKKW9tNrd1tby79Hva/TQ+TW3b/N6af5Afz+v+TRR09f5+v4/54opvppfXz/Gyf46fcHyd/K3l3fy+Xowooo6fp0o7+fk+y8tP687Hyfz5dbW106rT+rCev/68cD6f5/Rf8+35Uf5/z/8AXopadF6aPy3002VvTpqL5Pfb3fK19fu6/gIM4HTj0P19APy/w5P8/qfbt/n3Winfy/B7aX6fh5dNbO/k/wAP8wo/z7/5/Giikt7279/Jdt9NvuvcF006eXl2bfTu/PoH4D/OPb/OB+BRRT1vt+fW1+ln9/3B8n/5L/n0CkOfb8/r7fT9fTlaT2x/9frx+nf2oWmlvz8uttemv+TBenXrbT7vl5i0hzx2wec9fTrzz/P1paKS7W7fzeXePS3ltcWujtfz012136/1tqn6dO/09fy/+uaUdB/n/D+Qo9sf5H6//qop6Lp+D36bJ+WvQfyffp323+f63CiiihbPT5a7pLuv08xXfrtr7vZab9f106BRRRS07afNbWtpby/DzYa9m2uvu+Ta3X9ahRQeh7cUUadVrp3a1aW7Wr0Xz+bGtOj/APJfLs/L+lYP8/5/z15ooooXTTZW05vLy8ur6a7sT6JLs18Pltr09O3zKKKKNE9u3drp1tbSy+7oPXs//JfLTfy/rQKKKKenb8Hfa/by28l5IOttV/4D5K69PNfogpCQoyfw+vYfjTWfsPz/AMPX/PWq7E5yWJOc4AGf5/gOv061cKfNbS21t7vRd0rLS3bTXqVGDe+i7O23la+34Xv2JGfOeSBwcf49+2SOw+nETMMdR05zjgd+w78/gDjFML9v/HQOx4OcY/l646VEW5Oec9hxjnv1GfX8BjBOOylQvZJaK2m/39/y7s3jB2svv6dP66v5DmbPOeM8nHX2Hr29uD1GRUDyhRyfXCgdT/8Ar7n8KjkmC9CCeg6YX/6/twPxBznyS5ySc/XPOc++QPQYPAP0r2MLgnJrTt00Xa/52td6WWrOulRu15/e9vuXXz+4fLMWz+QweB9Pw6njpn3rOmnxkA8jvn8+/TJOc89eOtMmnIzg8Yxnjse2D+XXnjk8jHuLrGQDgdMjk9eg5+pJ5/Pmvs8symVSUfcetuj1u1v2Xpe93ZX1PXw2FcmtL7evTT08ulrofcXIXdzzzk+5/wA9M+mfbyf4nfFDwn8LfC2peMPGepppuk2C7URdsl7qN66MbfTNLtdyPe6ldlGWGBGCoiyTzyQWsNxcRYXxl+NXgz4MeFp/E/jDUBGH8yHSNGtmjk1fXr9U3LY6ZbMymQjKG5u5ClpZRuJbqaJGQP8AgJ8cfjr40+O3iptf8SzNa6XZvNF4d8NWsjtpeg2MjAlIVYL9q1C4VUbUNUmRZ7yRVQJBZw2lnbf3Z9GP6K2eeL+YUc5zaGJyTgDAYhRzHOfZqGIzWpSlF1cpyFVYyhVxMrezxWOcKmEy2LbqKvivZ4Sr83xnxvgODsK8PR9ni89r074bBX5oYaMl7uKxzi04U1vSopxq4i1oOFPmrR1P2gP2gvFfx78VtqurNJpvhvTZJovDHhaKYyWmk2rnBuLhlCpe6vdqqtfXzRqTtW3tlhtIYoq808KeFrvX7uIeW/2fcuflI39D+A69+eM8c0eE/CV5r11HmJvI3Dqv3+f/AEH8t30OT9+fCj4T4+zD7N/c/g5J49un/wCvniv9v+G+G8j4QyPLeG+G8tw2UZJlOGhhcBgMLFxpUaUbuUpSk5VK1etUc62JxNadTEYmvUqV69SpWqTnL+VcwzDGZrjMRmGYYipisZiqjqVq1R3lKT0SSVowhCKUKdOCjTpwjGEIxhFJWPhL8Kv+Pb/Rs/cONhPoPp/Lj9f09+Enwswbb/R+fk/hGe3HX/69Z3wn+FGPs3+jf3M/JwOnGMf5Pqa/Tj4S/Cv/AI9f9GxymPlx6ex/qPXFe4cZt/CP4Xc2v+jf3P4R7c85/lX3toOiW2iWcUESL5m1Q7AZweOOPbJ4HJ6dKo+FvDFvoNnGqxoJyo3Ej7ox0HHX1/lXV7WyDkEj6nv9OBQA4nGckf8A6vwPXpnscAZPVC4PTPHPXHbv3IHOfcAd6QocYyPfk49cYxgAHP8A9ak2MO4/z65FADmbH+P07DjB9+fUcHFLnjP0J9Bnt9ec9D74GKaUJ6kd/b88CgqxxyOOn6e3+NAClgOPbsccHHTjr6dvejdjGB64/wB0Z/oBgn3puxvUfmf8PYflS7D7dMe/U+3px9KAHBhgc/mMZOTjp0HB/r7pu55+nbjOOT3HPBH0z2ymw4HT35PPOfT6f/X4o2N7dAO/b8PagBQ36k9+mAM9enuM8c4J4pQScj09uvXnj2wffnHqGhWHGR746/nj/OaAhHGR2PfPGcYOOP5j+YA4tjuD/nrwD1/IEEDvRTShPce3JOB6dKKAFCsO/p3PPXvj3/8Ar5GaTa/979TTgc/oMcepGRyePx4AzS57+mTxn0P09OQeh496AGhX/vfqT3pArDuPzI/z/wDXOME5p2ef5Y54yB+nt78cAlc84HP5YHPTjv7e31oAZhgeTnrjr1wcduPw/wAKNrZ5Ydc9T7/T36YpxOPc8kcEY+U9CMZ/+v680Zzn/eA6+mD2B98/rjsANKue/wCppdrZ68fU8fy/z7804n/P59/w5xk46D0Qnt7j8Rkc8c/4nA5zigBu1/736n/Cja3OD3PcilJPQc9f0HYj14x3/Ag04kD9f0/z+XPSgBMNjr29fbH936n6nrwKTDDHOfXk9c/y6Z/HHWnZ+nTPXn17ge/5UhOAMe2PXjt0PJ7fjnGKAIZoEnjaKVVdHBDKwPOQOnuMcY6Y49B84fE74ZQ3kM08EIeNwx4XJXP0HavpXdx2/P0AOOR68evPqDUc8MdxG8MqK6OCCrc9R3444z+nrwAfiL8VvhPk3P8Ao39/onXrg9PX/PNfmn8VfhLn7T/ovdv4O/IPbp+Pp61/S18SfhhBfQTz28IeNw54UErkE4OB+R5yMkcdPzj+Kfwk5uP9F/v4+Ttn6etAH852qaL4w+GHim28Y+CNQutD17TXZobi3G6G5hYgzWN/bODBfWF0FVbm0uEeKQKrYWVI5E/Sf9nz9qDw58YII9C1VIfDHxGsoCdQ8OSykW+qrCuZtT8NTTEveWbAGWewdn1DTRvWcXNsiahPkfFH4R5+0/6L03fwe2fT0Br88vH3wz1HR9Qj1XSZLvTNT065S8sNQsJZbS9s7u3fzILm2uYGSaCeJwrxyxurowBDDFfz947/AEd+DfHHJ+XMacMo4swWHlTyXinC0IzxNGN5TjgczpJ03mWVSqNy+rzqQrYWc51cFXoSqYiFf7bg7jjM+EcTanfGZVXmnjMsqzapyvZOvhpNS+r4lRSXOouFVJQrQmo03T/d23uxwM+uRnIJ/wBn1z1x7k571tQ3HQjkDsf6e3+OfSvy3+AX7Zoe4svAfxwng0rWN0dppPj10S10jV2yI44PEaosdvo+os2MamixaTckt9oXTXVXu/0jtL5XVHV1dHCsjowZXVgGVgVO1gVIKupIIww4INf4beL/AIIcZeFOf1sh4uymeEqSdSpgMwoKdbKc4wsJcqxmV47khDE0mpQdWEo08VhZSjSxuHw9a9Nf1BlGb5RxPgY5hlGIjWppJV6MrRxWEqSV3RxVG8pU572knKnVUZSpVKkLSO3jlzyD25z19MEe3OemBx0BNX4p8YB5A7dx9D3A/wA4rloLoHHODxyPzz159fcccYzWnFcA4BPpz7Dvx+H5epr+d8flE4N+5+Ds9rN6duosRhZR6J+mt/P+npra90dErg4IOR17ZH+B9fz5xUyv36rnryMZ6eoz79AMZJzisaObBGCRx14Jx9D17/y5OavRzjHJA9weD+Ht06Yz09vlsRgZRbXLZra3ay6/8Du7HmVKNr6P9b/dqvua+80Q2Tzn9D0znPH16duPq8FgBjODz19fy/keMYqmH6Y69+RjHUAc4HGB9CepxUocjAPHHBHOT3yPTj8BgnnivJqUHF2t20a/4d/n8jmlFpO6uvw/4H9WLisCBkkHPQn3HpkduB7kd6d6decHqP8AZ/P/AD61WVs5Jxjjn8sfhz7jnnA6uDnjHIGO+f7vf0GefXHtXLKnby8n/n6PzMXB9P6/D1+RNz0+b3+ZSe/r07dMfpyuDz178kj0wOgz/L160wEHqCM9iT6+uSD3OMf/AF3Y78Z6DGew6Z4z9fYj2GbTW6sS01uKfx7/AMQ/2v8A63049DRz15xz3XHX3/Pnp09qb+GOvOW6jd/9cnGPXvilxwT256lvfOR9M59+mKQhSD79uhGe/Pb/ACPbJB+Pb+If7P8An8/UUmBj+HgDnJx3x+BPUe574yccdOfds/w/5A47H1oAOT/e7/xL6f44HtnPWjB/2sf7w/zk/wA+M4OQmPUgD2Y9Rj8PT3xyKUgZ5x+LHr7n8+2TjPrgAOuRz3B+Yd93pn2/T05U598Z7MOxOfTt/QcYpDxnp06ZPT5vw6dh056cUDPIAH13N6n8euc+vWgA5x/F045Xnp3/AK+nPfFLz1Oevcj1GOgx2PHv703Ax/DkDrknA7cHPGD+vQ9zGOB688sOcr7++c9uOTjkAdz79v4h/s/59+f7wo59+55K889P88c4zTfTseOMt1G3HTp+Oecc0uMEZx36k57Dj3xj8emKAD8T0/vDH3e3+OPeg556/wDfQ9W9fw+nHcUYHsMj1Pp17HHXPr168UYBJ6dfVh/e/L/9fY0AGD/td/4h/T8cDoCOcAmjkdc8Y6sPXr+P1PcehowDnOD1z8x7fXnr68DqKAB2xn2JzjPYdRx3z+hoAX0PPbv67f8AD8fx4Tn/AGs/7w7Dng9e2Tj347np06erf7P4jtj8Dx3MZweAOP4m6Y7dOcZoAXB/2vzUYyfof06dB7IcjOScc85GOT+fHHqfT3TA9scnAyfQZyOfw9vxC8ZOcdCPvHPXucnH8/1FAC8+/bPI9evT0GSOB2x1o5Pr37jPfjj9Oe3OMcmM98jP949O+efTHp/igAOcgZJPQnrg9ePY4P1I9wAwf9r/AL6Gev8AnOenTmg5/wBrt3Ufy9+Pfg+1G0HoByCM89uAcdPTJHc8e5jHPA99zdD7+55z0oAMH/a6+o5/Dp7jj1B7GjB4xuP/AAIHP5/px0565FGBx0+pJOQPy989h9OhtHoORxyT6Y7jPX/6/NABg+rdu4/T/Izz+IM/7QHflTgjHXv9f5c4ppYDoM49Cfp1OOACcEZ9QBnFMLH0IHORn+ZPfH4Dn2zSi35Lu/6/4HmUot69O7/r5EhbGR82c+o/HnHv74IwMYGYyzEHOcemQOM8nIP04OMdjUZfHT39u5x06++OvGT1FRl8g45IPBHToMDHHB/+t14reFG9tPm/0XTXq++5ah5X1069unnr+jb1Ty475x68E9x0xjn0Oev0qItjOB685/zn0HTJyCRxTGbB6549uOuOg6+vqDj3qCSYLxnn2xtHucd/wP8ASu6jhXJ7b276/P8Ay026bbxptvXrrb7t+ytulrd9HvMzhRkYwercD1PH16df8TSlnwcKcD8yf6AfzqvJMTznk/h+Q46cdfbOeooyTgZGcn05/HPr+fqOeo97CZdKbjaLd9tN9r9NNL7rS/ZHbSoNtWX6L5X3tvf5k8svUk49O+Ppk+nU85xwDjAzZrjg84HbJ5J7d884/p1HNea5AJJbJ54J7c9R6HOcj19MisW5vBz8w4zyew9snnGOp4wOM9vtsrySU3H3L7dPTXzs93e2npf2cNg27XT6eWmlu/pvrv0sWbi79yODx657n0B/Mk/THyl+0R+0/wCDPgTpDJeSR6742v7dpND8IWlwq3MituSPUNXlQSf2VpCyAr58iNcXjrJHYQTmO4lt/Af2mP25NG8D/wBoeC/hPcWXiPxkvm2uo+JBsvPD/hmbJjkS2PzQa5rUB3fulL6XZTgC8ku5oZ9OX8dda1rWvFGsX2ta7qV9rWuatcvdX2o388l3e3lxIQC8sspZmwAqRqMJHEixxqsaKo/0y+jT9CrMeKvqHGPifhcVknCb9lisv4en7TC51xHT92dOpifgr5Tk9ZWftJezzHHUW3hI4SjUoY+X5rxr4m4PI41sq4dnSxubLmp18cuWrg8ultKNPeGLxUduS8qFGStVdWcZ4ePVfE34n+M/i74pu/FvjbVZNQ1G4zFa20W6HTdIsQ7NDpukWe50s7KHdwgZ5p5C9zeTXN3LNcSR+D/BN7rtzE0kUggLKQhB5AI+9x0ODxj2Peug8EfDq91i4hmuIWKllKptOBzkZ9SOpPQfrX3/APC/4Q4+z/6L/dx8nXOB6d8n/wDVX+umV5Xl2SZdgsoyjA4XLMry7D08JgcBgqFPDYTCYajFRp0aFClGNOnThFWUYxWt27ttv+bsTicRjK9bFYqtVxGJr1JVa1etOVSrVqSd5TnOTcpSb6t+S0Rzvwr+EnNt/opP3P4ev6c/pzzX6UfCr4TY+zf6Nj7nOzHXB9MdPp+grY+Fvwj/AOPfNrx8hPydvy68iv0j+Fnwl/49v9F/u/wf7oB6fjXeYFL4UfCf/j2/0b+5jKdBxz0/z+FfoD4S8JWug2cZEaeftAyRynA5Hv29sevR3hTwnZ6DbIPKQz7Rk7RhMAcZH8Q457fU8dr9Ppx9cfpQAwK39717n0/z/Oja/wDe/U/4U7IPAP1/Lpz+f4Y55wZ5A/p06e+e4HTvnPBFACbW9f1Pt145/Sk2v6/qc/yp+eMngD8fwPH8u/H1QsOf16dwfz6d+vB6YoAQhz3x+J/woIY5wcfieOmO3X1PfNKWA5z+H4n268fTj8aXPHPpkntQAwK2OvX3Pc5z0/zknvS4bjnt6nrz7c9vyxS7uD/PjHOO+MZGcD6c0Z44Pvngd+vQ4+nJP1zQAmHxjI9jznr/AJ9e3FJtf+9+pp4PGfc9evXH+H0oJA68f5P+FADdr/3vXue/+fwpNrev6n/D/Cn57n3/AAGAf6Z9Oe/BpAT+uPTuRnqe4wB6j34AGlX9f1P6cUU8kDqevbrj9M/nRQAzDY6c/LjocYz05/zk0mH7jj04A79unf60u5v7v6H/AD+o/Gjc3939D70AADDt/Lg8dDz2H/1qAGAIx1HGMA5z7Ee/+eCbm9P0P5D/AOvn69qNzf3f0P8A9f8Ap9aAAhiSe3OOR6ED8/6npSBWzyO4JGRz+v8AnNKS3Qj1xx3wcev6fyoDN/dPvwf0/p+uetACbW54I5GMEDpn3+nr6/U2t6enp2/p7dPal3Nz8v04P6j/AOvSlmz90kZHY54oAbtYHgevcD+RH+FLtbrj14z06c5z1P5+hHGDc2fu+vZv6dfy/Kgs3Zf0NACFW7Dj0JHpjsQP07D1NBVuOOg9Rx+PHH549aXc3YH8R/nv9Pp6BZuMKR68Hnr+n60AIVY54/PHtz16nHv9STmlw2DwOQB27Y9z07fz4Aoy3Py8nrwfQehP5/QjvS7m/uk9M8EfXHrz+XvQBFJCJY2jkQOjAqytggggD+n4dfevDfiF8M7bU4Jp7eBWDhiVwCVJz6dgSOn4ivdstzxn1GD/ALOO31OPx5pG+dWVkBUgjBBIOeMH8Cf88UAfj78UPhDn7R/oo5L4+T3JHb6g/wBa/On4nfB/P2j/AEX++PufXjkcEdvWv6RfGnw9s9bt5pYIFEhVi0e0c8c7e+M8gdu3qPgv4m/B/wD4+P8ARf73WP69Rjt6/wCQAfzP/Ez4Pf8AHx/ov9/P7v69R2+o/Hms/wCD/wC0l8Qv2f7m28OeIob7xn8NYnWJdMlmD654bgzgv4cvblwslrEp3f2HfSCyYoqWVxpZeaSX9ZviX8Hc/aP9F/v/AMGfy6H/ABr8/PiT8HObj/ROPm/gOe/b/wCvXyPG3AnCfiLkOJ4b4xyXCZ1lWJ95UsRFxr4SuoyjDGZfi6bhicDjaSlJU8ThatKqoynTlKVKpUpz9TJ86zPIcbTx+VYurhMTDRuDvTq07pyo16Ur069GTS5qdSMo3SkkpRjJfoZ8N/in4L+KOgQeJPBGu2mtabJtS4SJvKvtOuioZrHVLCULd6dep1MNzFHvXbNCZbd45m9UguwepB6de38/z6eua/nnhsfH/wAH/Eo8V/D3Wb/w/q0JCz/ZzvsdStlcObHVbCQSWmo2bkZMF1FIqPtmi8uaOOVP0P8AgZ+2/wCEvG0tn4X+Jsdt8PvGrbLeO7nlaPwlrlwxCr9g1G5Zm0e5mfO2w1WYxFjHHbandzyCBf8AIXx++hJxZwI8bxBwNDFcZ8Hw9pXnToUfacSZJRXvP+0MDh4JZjhqUNZ5nltLSMalXGYDBUYKpP8ApLhTxMybiKNLA5t7LJ83lywXPK2X4ybsl9Xr1JfuKs5Wth8RK93GNKvXk+Vfo/Fc5AwQRx1PPH055BAz2z+FaEc2eQfw6/mPU46deQK4m3vtwDBwVIBVlIIYEcHjqpGSCvGMEDBrZhulbGWx6EHjr+XrjjI+tf57ZlkEoN3ptW3Ti157W0fdrbsnv97iMC03aPmvn+e/yS6XudTHOR3yPQnj8D2+lW0lVuM4J4wf5D19frXOx3Hr045z16ev4DnoM1djmz0OR+ef8O3TPXPIFfHYvK5RduV9rPvbv5ed+z2PJqYeUb3Xo7a9N+n/AANL6u24G54OOefTOByPyyTnPUDnrIsh69OfQAHtzjv7HkDkHvWVHPj6Y4HVevrn+ffAFWklUjGcZ4wTwe/BOP8AJHrivBrYJxb9177d/wA7/i27JHFOjbp93y6f5erNAOOOc+pH+fzx+Gc8OD46MfXODg8dT7ZOew7e5phhjqQeDnrnn/654zj8TUgYnHU4wM+n649zjpn2rz54dxvdP7r+e3+T6XZg6bW6VvLyt03S0XS2hb8xcEHHfkfj/wDXIwR2HGaeCp5BU8nt+POcdM89MDI9MVQ4/A8cj1J6Ej5h375Pt1kyCM45+np15x2/+t1rmlS7J/LX+vw+Zm4Lpp+P5v8AX5E/p0zgfw8npyOecD0/wpMjsw7dh/sj8PXjH6VGHIOAT+PTpn39fw79sqJM4zn+X93r69cdOefrWbg1tr+H5kckvX5ocNueoPH90c9OnTn8/wDFxA9V9PujPUe4/MY4OR2pA6n+Ij69MYHJOMD16+pPBpwwe5PHqPY44xz2z07ZqbNbp/cTZrdWG8HuOh/hzz8x75xjn/Jpcr6jGehGe56fnx6DnHNHb+LP15ON3GRn/Dp+K/n1Pv0Le3fPbnpSATj/AGe5xtGePx4/HB9e9AxxyOvQADuvA57dzzx64pce7dP89B1+nHbpgUHt1x0z07qOe/8ALv65oAaceo7dv93nH0H5HHalGOMY/wC+eox065P88EdeSVHIx8w4565HA746/Trye9HTB57n39SD9T29eOnFACceoA55C45weOvBGenB7etISOeR1z0B7t/nn1BzzTjgDktjn/0H356c+mc5pM9cbu/r1+b249vfHGQaAEAGOMHryRnv/F/TpwMnjNHAPUdugx3zjg+3OenHqadn/eHfp69uR29s9e/Yx0+91x19+/PfPbtigBowMZI7dgD/AA459h79D7UvHqp6c7e3vzgfpjoOcUenXt1PT7uMjGM//X/Bfxb9Ow6njP59fTFADTj1X6hRxj8efyPX0xSkdeRjnkgcc+ueuf1GT7r6csf6/XjH4nHueODI55IwDx7Z65x9MY6dKA/rb+v69BPl/wBn8F78+/Tg/h36Gjj2Az3Xp04POB6HODnp2pCy/wB4kdfX3Bye3Hc4z7UwydMD36k5/wAM57cntyAKpRk+lvXT+vkPlk9k/u/r+tSTA6cZweNvf2OcZH1PfPsjbRnJUYwfu+/Tr39PSmFiQcnPXj6fQe3ofamFgCeMkdePw/kfp781Sptv9F29en3FKDb128vl3t0f4bDy684Ax6kdugwMZ9Cc56jsabvz3PJ6dOgyc84PTt04qJpABxgduOTgDPbtz6cevNRl+pHHJ9+QM9Qe/r+Qx03hQb2X6u+n4+j+RooLRJa/j01/Ly+8mL+nbkk+nt/npUZcntuzx06c449Px6468VEWzj2JIHTHp7Z/A8e9QvKozzn2GcdieeQO3HrXXSw0pNaff8uvp0VtNbmsaTdl20stdPXbtrqTs3JHp0wen8v64yeoyKgeUL1/75HJJ6Z68dOc5+mSaqvOcHBIHPAY9fdjzx6D6kYqnJNjJJ46nHv/AD6+wP4V62Hy+UmrRfz0XT7/AJbrdnTTw7ey/wA+m7/y08y3LPngE98joPxOeR7f5FKSYAEk9un068HoevJ9R1BqrLcD+Ej0znA6c/569Rnis2W6UZOcn68D+YHPPPfORmvpcDk8pte6+nT0Wi6WfV/Nno0cI21o+n6fd59fNl6W44649f19ff8ADkjPpkzXYAOD/wDXI647n+QyORjNULi86nd9Dzxn24Jx6njivhb4+/tueAfhZ9t8P+E2t/HvjqLzIHsrC6B8P6JcDK/8TvVoC6TXEEmfM0nTHlu90bwXlxpbMkh/a/Dbwi4v8RM6w+RcIZBjc7zGryyqRw9O2HwdGUlF4rMMbVdPCYDCxlaLxOMrUaKk1CMpTlCM9sfjMqyHCSx+b4yjgsNG6U6r/eVZWUlTw9GKlVr1WtfZ0oTla8nFRUpL6y8efEXwn8PNAvPE3jTXrHw/oln/AKy7vZSGnlKs0drZ28Ye5v72YI3k2VnDPczbSUhcAkfi9+0b+274r+KX27wp8PjfeDvAcnmW11ciXyfEvia3YFHW/ngdhpWmTLhTpdlK8txGXTUL24hmNlF8tfE34s+Pvi9r7+IfHWuz6tcqZFsLFd0GkaPbyEE2mkaZGfs9nDgIsjqr3N0UWW9uLmfdM2D4f8J6jrkyKsDJESBu2YJBx0z064z+nSv9i/AH6GfCPhisFxHxqsFxdxpR9nXw9F0nU4dyDERUZRlgcPiIRnmeOozTlDMsdShTozUJ4PA4avSjiqn8+cY+KWYZ3Grl2SKrlWUS5oVKnMo5hjoNNNVqlOTWGozWkqFGcpTjeNWvUpydKPP2Vlc6hMsNtCzljgkA4GfXH1P19uQfor4e/Ci4u5YZriFpHYqSWU8ZIOBkdPpz0r1L4cfBwkwMbbJJUklMknuSSBn8c8819/8Aw1+DmPs/+i/3Odg/wJ6f19a/tk/JjzH4ZfB//j3/ANF/u9E+nQY7569/xr9Evhh8IMG3/wBF/u/wfy46AZr0L4Z/B7/j3/0X+7/B9O5H6Cv0L+GnwhVFgd7YKqhSWKYGOPbgfz7ewBxXwu+EWPs3+i/3M5QdOPb0Ffb3hzwxaaFbIkcSGYIoLYHynjIH5dePar+j6La6NAsNtEu4ABpNvJPGcY7ccevWtrc3Py/Tg+v4/wA/x9QBu088dR7cHP19P8KNrY6dPp7nrn356duvZ25uePpwfUdevak3N/d/Q/5/z78ACBWyD6A+nv7/AK+vWlw2c4/UcDOfXrnn3PXOTS7m/u/oR29/Q0m5v7v6H/63+eaAE2tjp+o9uTz7D29h3Ta3p+v6df8A6/vT9zf3Tn6H/P8AntjlNzf3fTsenOaAEKt6fT8R9eMcf/XAFLtbnjt7ck4zn9fx70pZuyn8if5H68/p3pNzY6E49Qfb357/AM/WgBNrenU5Izx9OvQUbWwBjtz09T7+/wDTPWl3Nz8v6H/H+X5daNzf3f0Pr/h9f8ABNrcYHT6dck+v0o2sDnH8v5Z6/wBe/enbm/u/Xg+p+vb+f4Um5vT1/hP4d+9AAAwGMdz3Htz1+uPQ89cUm1sYxnnjp0564Pv+pzninbm/u/z/AM+v6fim5v7v6H/H9OKAEKsT0z+I/wA/y+gopxZuy/of8/57dKKAHAg8+w/r6dz6fpmjPT3OP0J/w/CowxxyR1H4YJPAH09u3bGE3f1+nfoMZ5zx+pNAEoPOOfx79OfQe4/LnIpaiDHJ55PrnGcjrjsAD+HtxShifTpxx3zjtk9Pp9PUAcT7+vp2B5x359ccilyM/iM49+Bn/Pb6Zjzkn8cdOwb0/Dnn69KQHnPU5H/6umfbA4/SgCUkDjIz7n/OKCeg9x3x37evuPT8MxEnJ7Z9Ov0PPr1PX8OKUk59RkHvnnBGcd8D3x26DAA8sOfof09vz/AZ6c07NQZJHP8AL1/zn689eacTz2z82ecjHGPzx+PTpxQBLkdc8etNJAGfYHAPbI7fj2/McUwseOTxj/0EZ/EfnyehpCemOwB6d+fboDwAOOKAJc4z9fb2z7+/T64HNL/n/PP+cVDu644PP64HX9cnnjr1pc9RnjA7Y44GMdjznPI6dqAH546+npj+Ht17+vfkjjC7h6jpn+X0x174zUXbv368/wB39PT8KXPJ9SMduvGPy75JyOvpQBJwffn/AD1/p61x/iPwlYa7BIGijExU/NtADfe4Pvkcnv1xnmusByB06t9AMA+//wBfnOcmgE5P48jJHRvXPU88+n1oA+B/iT8HAfPP2XP3udmeucc7f89q+AfiR8Gubj/RP7/8GPX2X+dfvNfabZ6lC0N1GrqVIDEAspIxwcHI9iMfjzXzr4++EcF3FNNbwrJGwY5VQcdeCAOD9Rj0oA/ms+I3wZ/1/wDon97+Dnv7Z/mO1fB/xD+DBzORaYOWIITkHsRx19D0PTiv6WPiJ8GP9fi1/vY+T/638uDmvhP4hfBfmf8A0T+9/B9enH/6jQB+SHwu/aN+Mf7P81vpEzy+OPAcDLH/AMIzrdxN9p062BGU8P6wyzXOmBVH7uzljvdLUF9lhHK5nX9VPg1+018L/jPbxxeGdbWw8RiLzLzwfrhisPEFuVXdM0Fs0rw6rbx4LNd6XNdxxoy/afs0pMS/G/xA+CufP/0T+9/APfPb/OfavjDxb8Jb/SrwahphubC9tZluLa7s3lt7i3mhYSRzQzRFJI5Y3AaORGDowDIwYA1/K3jN9Ejw08Wvrea4bDLg7i6vz1JZ7k2GpfVMfiHrz51k6lRw2NlOTk6mLw1TA5jUlJSr4yvGKpP9H4W8TM94dVPCYiX9sZVC0Vg8XN+2oU01pg8W1OpRSStClUjWoQV1TpU23I/olgvfUn65yv8AiBnrzjgmtWK6DYO7H48devBwc9z78DNfhp8Lv22viz8MHt9E+JdjL8RvDcG2JdRmkFr4usoFwu4aoymDWQi7m8vVojeTvhW1iFBgfp38Jv2i/hX8YLdD4L8U2smq+X5tx4a1PbpviS02rukEmlXD77qOIACS80yW/sVJwLtjxX+T3jD9FLxN8K5YjF5vkcs14fpSbhxRkEauYZP7O/uzxvLShisqk04prMsNhqcql4UK2Iiud/v2QcY8M8VRjDA4yOHx0kr5ZjuWhjObS8aN5Sp4paXvh6lVqKvUjTb5T6gjuPXB6ZPc+v8Ahz0BJ9atpOOMEc/z78Z4wfTnjntXHw3vHXt1ycfpzjPXrk9TWlFdqcHPfqPwPbv7cHjBNfypjcglFv3PK9tOnq1d9Vd6/d7tbA/3Xp/Xp809kdQk5HAPfp1Hp09z9eR9atJcA47dsqeMevYj39OvtXNpcnGMg+nr+WRyPUf41bW4BPXH445PYHOe/p2x1r5fE5RON/d9Pw2e+r7v8DzamFae176du1vP773tdnQBw3OQ3488dsdv5/1eHxnBYA9vx/QYyO459ucVZh2OcZ578D1H9easJcYBGcj35Hvzgkj6kGvGq5fJXvF7a2V7bart/wAHvtyToPqvLVfqtV5aI1t3GT04Ayc9fp0xjHPFODjHfj3x025zke3uB6VnrOvt6fKeOMdc4x+vSpllBONwyMYB47D6Z44z6dPWuCeDlro9F52Sdtrau/X/ACMHRa2v+f5FwNkdyO/zDoB6cZHrTxjoCfTr27H29sY/WqW7jjvjkcnH+B68dPpTw3vjnoc9PckHv9MCuaWGktk19/lutf6s/IzcJbaO/b/gotgkZAc+/Izxn1Hb9PbuoYkY9D1PXgnntycf571dx9iPQHp1xz06ZPb/ABfvwQMfzPc4HB6cZHpj61i6D7dunp21XpbbQjk0+F+vKv8AL+uvUshz6fhk/pyQPy6cUbx0x+bZ5yCOv+H5Z5qh+Tnqcgjgn9M4/wDrdOKcHGfQZHBGBnj2z1GeM9hjFQ6Nui+9+Xe39L0JUF53tbTv5f18iyXXtnPbJ/3eOueePfn3pd4PY/h7/iM/09qq7h6qcYHueB3x36DPr9KXdjPK/QDAPXj7v+HHvzUql5P5v0/r7+trHIvPpv8Aj07FgsvUg5wR19j749e3vR5i5J5/l03Drn6/TGfeq2cd1PXoPUHn7v0Hv370u7HcYOcjv3OMkY4z9OPTNHsvJ9Ovp/Xld/I5F5lncvHB46c/jzz7D1xSb+nGAPc+vA//AFj2GKrbh6rnp05yO3T6DHPbpRuxg9ceg9T9Mg8847Y9Kao+Xlv+On9a7dj2a13/AMtv6+ZP5h9jyO5P93nt356d/ejcTzxk+n6dT29eDgke1Vg447kYIGAM9MDkDqPfnj0oMmMDGcnPsBjjGTx9QfxGMVaoPsvub3t3/r72PkXRfr+dyck9SxzzjBAPrwcD+dNOMcknrwDnIzxn/H8OuKgLH0UYznkn049sfz6e7S3HJHHpu6ex7c59q0hh5aWVlpsrLp1W1vRaFqD0smvkl2T3S0f9baTsQATyD0zuGfx5J/8A1cYzTd+MHJ7knkg/l047/rxUBYdcH8Sen8x3zn+WQWNMB3X0IGCT065Pb3+vY1vHCTfRvT1VtPl57WLVOT/4a/37L53LO8nOMccck/Lx6ZPUcdePwNRlzj3x2P5euMdCOvTHtUadR+Q5JwOn49PT0z6cwNcHoOmegAxjvzj+R/xrsp4GUmtPzeumjS9ddPuNI0b20+//ACX5Mvs6jqQOc5zg8+gzxnv1/QYgacD155BbgZP+Pt1rPecdeB7jn8ck+2MVWe4A7nOPXP05OePX+nf06GVzk1eO9ru139nZdV3d+uurOmGHb6fhbt26/Pyt1L7zkg5PBHQ8D1+pOOfcZ9qqyTjnLD8f09yO3J+maz3uSe+0H35x1/IHoeQKoyXYGec47kjj19h1z6GvewmSSk4+7dq3ReXXW23/AA+53UsG3bS6urpLu1/lbutb3NOS444/Ant7/gcYPcHqeaoS3IAOTnr/AI9/Tp2x3zmsmW+64bP8vcZIzx1wBjnr6eJ/FP49fDL4RWTXPjnxXYabdPG0tpodu/27X7/g7PsmjWvmXjRu4Ef2y4SGwjZh595CuWH6HwvwFnXEWY4XKciyfMM5zTFzjDDYDLcHXx2Mry0uqWGw1OpVkorWcoxcYxvKUopNrtnTwuBw88VjsRQwmGpJSq18TVhQowWmsqlSUYq7VleS5nZJt2Pbp73g85/Hj8/54yO+RjNeAfGD9on4Y/Bmyabxl4gi/tZ4TNY+F9L2X/iTUMg7DDpySJ9lgkIYLf6lNZWJYFRdGTEZ/MD4y/8ABQXx14t+16N8LrBvAehyb4jrl00F74tvIW3LuidfO07Qt6MQy2g1C+hZVlttVhbhfz+u7vVNc1C4v7+6vtV1S+mee7vr64nvr27nkbLzXN1cPLPPK5ILyyyMzc7ia/0j8GfoAZxjnhM58WMf/q7l94VlwxlFahis9xMdJKGPzCKr5dlUJq3NDD/2ji3BzpTeBrJSX5TxJ4v5bgVUwvDGHWY4lXj/AGjioTp4Gk9uahQfs6+KktbSn9XpJqMk8RBtP7A+OX7anxM+LQu9D0KWTwD4KuPMhbStIu3OtatbtlWGt65GIZnhmTcJdO05LOyaORoLv+0Nqyn4/tbK5vZBFbRPI7HGVHAJwOTg+3Y13Phv4eaprEkTTRusZOdgByc9QzYzyCelfWngH4K8wZtM8rzs/Xpnp365Ff6dcGcCcIeHmTUsg4MyHAZBldLlcqODpP22KqxjyfWMfi6rqYvMMU4pRlicbXr13FKPtOWMYr8FzbOs0z3FyxubY2tjcRK6UqsvcpQbv7OhRio0qFJPVU6MIQTu+W7bfz74M+FN5qMsUt1EzklSFKnaufbHXvk8+mM19u/Dv4M48j/RP7v8H09uPwGeMmvoT4ffBb/Uf6J/dP3Ovv0/Hp2Ffc3w8+C5Hkf6J/d/g+nt+eOSeOK+tPLPCPhz8GseRi0/u/8ALP0/Dj8T+Ffffw3+DmPs/wDov93+A+3pmva/h18GcG3H2X+7/wAsx/hgZ+ma+0fCvgHT9EhjaWJGlUKRHt4BGOG9/YY+o6EA87+H/wAKLeyihmuIRGihTlkwTjn5c5/z+FfQtlaW1lCsNvGsaKOwGTjIySPYH6c9qlXCKFUKFGQFAwABgjgdh2/EZpQeDxxxxk9ef8MflzkZoAlz1xjv1Pf/ADn0PB4oByf8+uO+PfPpj3GYs9ee5PT8j+P6YBHNG7rk/l9QSRnueT/hxQBLkZxn/Ocf1GP60ZHr/nn8+nbPaosnPJPQfqQeMYxx/LHpgzx24xx279j3zg8fjxkUASgjjnqT+XPr2+n6CjIzx146+n09ce31qLceue2Oee34+n5n0zRuOR3wfzz6d/65znOSKAJSenIx/n3/AMaTcOcdu3T6/p7djUZOep7n3PbGMjgZ/TI6jlMnnvkg/QjOPb8ORigCYnGO+TjAx64/Mf59jIxnP+fx+o/Ooi3UEA89eeeTjv05P4fnQT69cD1Oeh/D356jjGeQCXP0/wAkY/T145HODmjIxnt69e+P8+mfrURY5PP6dcYwf646Dn1IoBPGCc9/zJOSfw9e/qaAJcj1z/n/AOsaTcPXqR/T06fj78Go89O59846t19TznNG49vTr36Y5P1yR+HYDABLkc8/5A5+n49/woBHY8ducnPP9Me/rUWT6jufQ9iecdf6j1C0bjg+5zkZH+f8ARnpgAlyOckfmP8AH/CioW5Pvk9Ont2Gfr9KKAH7/b9fr7e1Lv8AbnnuewPXj/63ftTgB6D16Y7nHb64pMLxwB9QPyz0z+Prx3oAbv8Ab9f/AK3+f5Lv68dB/h7f5/GnYX0H5CjC+g/IUAN389OmT+QJ9OM/yoD5IGOvv/8AWpTgDoB16Aeh9R6f5x1Pl6YH/fP/ANb6/TB9KAGl8EjHT3/+tS7x2H4/16GlO3vjJ9gT/n+vHWlwPQfkKAGeZ7fr/wDWo3+3X36dPb/Hv9KfhfQfkPf/AAowvPA9+B+tADN/tz9ePelLkY46jPX3+np/PkcU7A9B+Q9s/wCfpSYX0H5Dvn/D6UAJvHp/nAx/h+FG/rx2B/PHtx1p2B6D06D0/X0//VRgdwO2enH59h/SgBu/j/6+f7ufTnB/Aik8z2/X/wCtzTgAfQ/gMdBz04/z+C4XpgdOeP8AI/Xt7UAN38Zx6/pj/H9M+1IH9ueT19Mn0x0796fgHsMfQUgxzwOPYYxkj+nPb0oAaHHTHbqT/P8Azn0BpGKSKyuoZSOVPII6YI98/wCNPG30Hp09u3Azx+YpcD0HPsKAPOPE3gLTdbikMUKJKwJ2FRgkjJwf6fiMHivkH4gfBbPn/wCif3udn19v8496/QT5ScYHQk8D1x1/P+tUr3TrTUImiuYUdSMA7RuHQ/n149DQB+FXj/4K/wCu/wBE/vfwd/Tp9B7c18T+PPgn/r/9E9R9z6k9vqK/pA8YfCWz1COWS2iR8hjtCgsBz1HfJ5/nivjvx18EjmUfZP7x+5359qAP5tfHPwSy0/8Aon94fc9Pwr5J8S/CfVNGvBfaU11Y3drKJ7a5tnkgnhmjO5JYpYikkckbAFZI2V1YAqQcV/Rr43+CWTMfsfUsfufX2r4+8b/BH/Xf6H/e/wCWf19qmUYzjKE4xnCUXGUZJSjKMlaUZRd04tNppppp2eg02mmm000007NNapprVNPVNbH55/Dn9tD45fCt4NM8YKnxI8OwbI9muySQeIYIV7W/iSKOW4lfqS+tWusOfuLLEoBX9EvhZ+2n8E/iR9ns5PEB8FeIJtiHRfGJh0sSTNhdlnrPmyaLd75Dst42vYL6YlcWKMdo+P8Axp8D/wDW/wCh8nd/yz6D8vz/AC+vyp4r+C09u8jwQPGwLEFVx3OMjGCT0HB4r+XfE36IHg54j/WMZSyZ8G57W5pvNeFY0cFQq1pe9zY3JZU55VXUp3nWnhqGCxteTbnjb2a/Rcg8UOKMkVOjVxMc4wULL6tmblVqRjorUsamsVBpJKEak61GCS5aJ/RJb6gkipJHIskciq6SIysrow3B1IJR1YEFWBCsDkE5rTivQcZIOecHgnPA6+3YHtX83vg34nfHX4LSpH4O8X6xa6XC+f7CvGGraA6g5kUaNqa3NlbmUDbJNYpaXRAUrMpAI+z/AIe/8FIjE0Fh8VvAUsMg2pNrngybcpbpvk8PaxcK6qMb5JINclJBbyrP7qN/nz4kfQF8UeHHXxXCry3j3LIc0oPLakcrzuNOLvzVsnzCsqc5tWtSy3MsxrSd+Wktn+v5P4rcKZqo08x+sZHiZWTWJg8TgnJ20hi6EHKMVq3LEUMNBdZH7ApdA/xY5/ofyHXA+tW0uTx0PfIODjjjA5xxgc+/tXy78Pv2l/gx8SRDF4W+IGiSahPtRNF1WdtD1syN96KLTNZSzuLtkJ2s1gt1CSQUlZSrH3mO99/ToccAdcHI69ORX8U8TeHPEPDOOqZdxFkWbZFj6d+bB5vl2Ly7FJJpczoYujRqOPaai4tNWk1Y++oRwWYUVicvxeGx1B2tWwleliaXTadKUoXSb05m+jtsdityDjJwffOB6DOR+P8A9arCz+jEdSecjj16Y/D2rk0vgcZYYPr149Dyvr9O/SraXakZJ7djxx2yOueOn5V8JiMglH/l2+2yf8vmn00v8uhnUwLTelvlZvbpbZadPPU6ZZiOc47Zzj8s9e/fHWphct3P0yB+uOelc4t2OMP6deg49Op9j07gelhbk+xJ98HPryCQTXj1ckqRfwN7P/0lrfVdd33OSeDkt196uk9Or/H1Rvi4BHOD9GKnqe3P86lE64HLD2z0/X9fzNYAuc47fhz+PUfy/wAJFuV6ZAxjOR6dcH/CuCeUTWnK1393/C779Hf/AIG5g8LLt22v5fnqu9/Nm6JhnrjPQ7Tzj3yc+47nrzThKufvKT7/AFHr/Tn+mILhSOp4wfvHPuOv8s59qeJgOjZ+mM9R3IPr6+n0rlllcl9m3nb08vO3a+zM3h5dn00t6a6r/LujY8z0K/nxwQB2wADnGB7/AEd5nqV7dx17+n0+npWMJz6nnnoCD/jz60faOMdR64H+I9APpxWby2X8j17a2+HXov6fQX1ZraL6dF69vK2unkzY3Dnkc/7XsR689ef8DSmQ+q4wc8j/AAOf88Gsbz/b9P8A69L9oxnjHrx9ff0JpLLZ3TcJdP00ev3+ad+4fV5fyfdGKfTqv1v96ua/m46lcH1xjOc88D9ff0zSGRRxuXPHTH4dMc+n8jWR9oPcn3wFHHvx7d/Q0hnAH3iD2BIz6dh19/z6Zq1lk9uXt5/yrt3v1W712bPq7Wya3vor9PL8tWt+iNcz4/iznphfXoPr/wDWphnA6bj+OO2fXP6deOtY/wBoA6sQfrn8umeewqNrkdzk9OOvH54/EZ9q2hlU3a0e2ybV3Zvbp/XmWsNK60b7edrX7J2/HW/W2ubgDOMdT1JJ7Y6Z9/bjtUZuGOcHj2AH8+fyzjvWSbn6kEHHTjn8CD+nNRNck8ccev6jH4Hvnp+PZTyebfwb+Vu1/Vp9kawwkm9Y+t7vTT10Xa/3Gs05PU5A6knPB9h+nPHaoWmxnnAx24B749ayGuvVjnPOP5Eev+etVnu15wc/XOOf5deeD6V6dDIptq1O+qeqvf4fu9dN/kuiGCk7Xi1f8L2tbuvx37M2GuBgnOT2xz09TyO4HY+1QPcE9OM5xk//AF/ywfr0GcR77rzz7cn88AHv1xVKS+688dcE9u+B/wDX9ete7heHakuX923s7NadP6Wp3UsA/wCV9OnXTX06djdkuwOrZ6cD+mP/AK3eqUl6BkAjPTjr9fUfjx/XwX4gftC/CH4aiZPGPj7QdOvIA2/R7e6Oqa3kdFOiaQl7qaZb5Q81qkQP3pFAJHwp8Rf+CkulQCez+F3gi61OYZWLXfGMw0+xDDIWSLQ9LnnvbqFyMqZ9V0uYDAe3BJC/v/h59GbxW8Qnh6nDfBOb18BW5Gs4x9BZRkvs5WvUjmeZywmExCjH3p0sJUxNZqyjSk5RjLx804l4X4fUlmmb4OnWhvhKM3i8ZzK1oywuGVWrTctUpVY04X+KaSbX6pzX+ASWAA5JJGAB3wCMcjJ5I7mvlb4p/thfBP4YfaLW98UR+J9fg3p/wj3hAw63eLMuQ0N5eRTR6Ppro20SxXmoQ3SAkpaykFa/Fz4kftI/Gb4q+fB4r8bakNJnLBvDuisNE0Axkn9zNYaf5X9oIuTtbVZb+dckGU4GPGbXTry8YJbW8kmeAQpC9cdSMHn0zX99+Gn7PPLcG8PjvE7in65KPJOeQcKRlSw7atL2eJz3MMOq9SEvgrUsJlmGmrS9hj9YzX5ZnfjRZTo8N5XybqOPzVqU0tr08DQm4RateEquJnHVc9DRp/b/AMV/2+viz42+06b4Iht/hxoUu+MTadKNQ8UTxH5SZdbuIY4rAuMOv9kWFndwOWUajMuGPxBd3eqa3fXF7f3F9q2pXsxmur29uZr29up3+9Nc3M7yzTSv1aSV2Y9STXo2g/DHVdTdGnR1ViPkRSOPdsZ6c8Y9MV9HeDvgeSYibMnOCSY8n/e6Hr69j1Nf31wR4bcC+G+X/wBm8E8MZVw/h5QhCvVwlDmx+M5EuWWPzPESrZjj5xsuWWMxVZx2hyqyPxzOOIM5z+v7fN8xxONmm3ThVny0KN91Qw1NQw9BPqqVOF+t2fLOh+ANW1Z4y8LxxsRwAST369B1/njvX0t4G+CbM0TNaliQuSUJJ5HUkZr7E8FfBDHk5s/7v/LP6dOK+v8AwP8ABEAQgWf93+D6e1fcHjnyL4E+CWPJ/wBD6FT9z6cdPzr7T8BfBTBhH2Tuv/LP8R29civqvwL8EuYh9j7L/B/9b3r7O8CfBQKISbUAYXkoABg8EkigD5h+H/wV/wBR/og/h/gHt7fn9DX254E+D8NrHFLPAsUa7eWUDgY6AjnHoPrXtXh7wLpejRoTEjyKBwFGARg846nqP6Gu4VUUAKqhQOAAAAPYfjQBkaZo9jpMKx20K7gMFyAGPUcDBx0Of1J61rbx6fkf/wBX+frT8DuB+Q/z/jRhfQfkKAG7/b9fp7d8/n+OAP7d+mfb6DjP8/pSgL6D8uv6DH4cd+9LhfQdfQdf/rc/TmgBpfGeOh9aN/Xj9f8A9X9acQOTgepOB+PvSYXngce3/wBbr/8AWoAQPknA7fy9fz/DvxyAvjt/np0wP8+h6OwvoPyFBCjsPyFADQ/t6nr+J7fl+Ge9AfJxjvg89O2adheOB7cfjRgdgvvwP89sf/qxQA0v7fr9PbqM80m/2/X6/wCR+VPwvoPyFIQvoOeOnXr6Dj60AIX9B6jr+vQj/P5m/rxnGO/rj8e/p/Ph2F9B+QowPQe/H6f/AFvp7UAM8z2/X/61LvHp/n/Of8OaXAHYdM9PTr0B9vWlwPQflQA0NwOP85xwADx/L8spv9sf5+n58Hrx05fhfQfkKMDPQZ69B/8AroAbv4zj9fTHt7j9fSjfwTj6ZPXr/h788U7C+g646d6MD0GO3A/z/n8gBm/2/Xp+lFPwvoPyFFAEYbjv2HU9OT2APHQ/mAQMEJ6c8c88Z5B9Oh64Gew6YzS/IeP8eev+fx96Pk7fj97pj/P4UAIG/HA79Oo9Ontn26dKUtyfYAZ6Htn0Ofpjp+NKNnOP6+o/rikGw9v5+vp+WPXPrQAE5zgnjPXjHDZI7/n09uyE88jHzD0xgZ6+/wCJ7jjFO+Xtjvnr0we/9ef5UnydvXtn/P5UANLE54I55/EYx09On49ez88/VhjOeenPXkdCMenOAaQ7B/k0EJ+PH94+nH9PagBCSD+J9T0we/UjA749h1IW7fXrznPI9Rwf8gZpf3f+d1Hyc565OetAAWPA6EdScen1xzk+nbpSE/d7Hbx6d8Zzx2H4854p2Ex7fU+mfX0x+ntRhPz+vPP+OPyPpwAIG/X3yfujHTB7c9Oe4pSwHucDp+vpjPtz6jgUHZ3z146+g56/r3HTNIdn9O/bigBMnHPPQ9T22/5z65/EB6/7pPYdQM9B/nv3pflx7fj/ALPvnntnPrR8nI/qfb35/wDrUAGSR35zwPXHTg5A7nv9eSQEnce3UZyOOfT/AD7jFLhMZ7cjqfTn9Pz6UgCgnI9fXH8X8gP045FACBufTgD16AnJ78ZzgfQ460oY8+g5x+I+n4D8OmBQNnr/ADHbn/P4YpQEOcenPUcUAICSwweMcj2yevvjnk9T70hJH44ODjngcnuffsD3zSkLn+f3ic5/z+JpcJz+Hr35H19f/wBVABuyccd89wRj8vr9DyOhxNT0PTdVQrcQJuKkFwozn156598H3rb+QE+vOevfg0h2dvf19P8APXNAHzh4v+DlvdrK9tAkikE/KoJHrkdQM9+nvXyX41+B/wDrs2eT82B5f9COtfqJ8uTnvn19T7889h35x6Y2o6Hpepoy3ECFmB+cKM5PQnjB9+/vQB+D/jP4Hf63/Q/72fk/Qcfn/wDqr5T8X/A3Pm/6H6/8s/8A630A545Nf0VeJvhBZX6SPaxxyZB4CjdyOTtxk+g/pxXzL4v+BvMv+h+o+4fcY6fh+fpQB/OZ4t+BmfN/0P8Avf8ALP8Al8v/AOobT2r5l8VfAwgyYs+ecYjx/TP9QeRxX9Fviz4GZ83Nn/e6xn37Y578fUHtXzT4p+Bf+s/0P1/5Z/8A1ucdMjn64oA/nr134R6jZM7W6SLjOAVJH4E8+uBkY+tbHhT4tfH74VNHF4X8deJrOxt8CPS7q6/trRURcAqmj61HqGnQ7lG1jBbRvjBV1ZFI/W/xP8CuZP8AQ/73SPv+WePcH8a+fPEnwJPz/wChnv8A8sz/APEjj8upryc5yHI+IsHPLuIMmyrPcvnfnwOcZfhMywkm1ZuWGxtGtRbtpdwudWExuNwFVV8Di8Tgq62rYSvVw9VW10qUZwnv5nmvg7/go98RdI8q38eeB9A8SRLhHvNIuLzwzqTKOGllSRNZ0+aQddkFpYRtgKCnLj6q8If8FCfgXr3lRa83ifwTcthZDrGjPqNishI4jvPD0uq3Dx5I/ez2Fqf4nVVBNfEviH4Ef6z/AEPrn/lmf8P5H8K8Y1n4JXMBcxQyoRnG0HAGfTGPyHfBx1r+beLfoaeAvFTq1afDOL4YxVW/NieFszr4GKfT2eX42OY5RRSfSjl9NPZ3srfe5b4rcZZeoxqY6hmdKNkqeZ4aFZtK3xV6Dw2Km3ZazxEn23d/3f8ACnxz+E/jQRDwx8R/B+rzS4K2UGvacmpjd90SaXczw6lGWJwoktULcgDINeqJf55DAj1DcH9WB7HPQ1/MLqHw01qzLbEZwOMMjA8Z9Pftj8Rzi9ovij4veByq+GvGXjPw/HFgLDoviHVrG2wuMK1rb3cVvIvA+R4mU46EV/N/Ev7OTLqrqVOFfEWpSV5ezwfEGQwqvo48+ZZbjqC6Wly5Tre6ts/tcF42xaUcz4di3pzVsvxrgtLX5cNiKMnr54r/ADP6dUvsckn0xkfnk4P/AOv2qcXw67h+Ib8yeR+P8q/ng0X9sr9pfw5sjfx1carBGRmDX9A0TUt2P7942mx6kxOOf9O7k9cV61o//BR74wWWxNa8K+AtZRMBpIbTXdJupOoO6RNZvbUHoRsslAOeCMAfh2efs9/GLAOby2vwdn0F8CwGc4jCVZLT46eb5bltKEtNliKkU/tvc+nw3i3wZiUlXjmuBenN9YwVOrBPTRSwlfEycVZ2bgm/5eh+5S3q+oPQHkAZ5+nvTxdqePr6Ht9f6V+QOl/8FNvuprXwjYYxvn0vxnuB9dtpdeGl2+2b1vTI6139h/wUr+GEu3+0/Avj2zJ+99gXw9qKqeM83Gs6WWHI5Kj6Cvy7MvoWePuXuXtPDvG14raWAzfh3MlJaWajgc4rz7uzpxn3jc9mjx9wJiLcmf4eDfSvhcwwzWsbpuvhaa+527PR3/UIXY9+wAHH58447/8A16X7UARyfzz09wePavzptf8Agop8CLjHnWnj6xPGRc+HtNfHA/589eu/zBIPGK3Iv+CgP7O7jL6z4mgJAOJfDGokj/vwZRknrz9cCvkcR9FbxtoStPwt4zlZ70MjxWJXTrhoVU0raNN7b7J90eKODaiuuJMm/wC38bRpvpuqk4PXXdXvuk9vvz7UP7x5/wBo/jk49/xpPteTyxPccn+ZP6cGvg7/AIb6/Zy/6GbXP/CV17/5E/P071BL+3/+zsgJXXfEc2MgrF4X1UE49p0iHPPocA5xXLD6MHjTJpf8Qq47W3xcMZtFfZ3csLFW0e70tf1t8R8HpXfEmRNeWZ4ST6dI1rv/AIftp97G7HbP489Oe5H056mmm7UfU9c8fnzzX543f/BRH4CW+fJi8dX3oLbw7ZrnHAwbzWbQdOBkggdSOlcpff8ABSj4UR7hp3gv4hXjZO03dv4csEY5/vReINQcKT3aIHH8OK9rBfRI8c8W0qPhjxNTba/3rC0MAum7xtfDRVu7drLV9DCfGHBVFXnxHlbS6Uqsqze13ahGo76dtfmfpq16v95eO+4enGe+Pr0/LETX3XDDI9M9T9MA/n/PFfknqn/BTW0UMNF+El3NwQk2p+Mo7UL6M1va+HLzf1GUF0n+/Xl+sf8ABST4qXIddE8F+BdIVshWvl17WZowejK0eqaTCWHq9s6Efwen32UfQV8ese4OvwjgsppyatVzPiTh+KSdvelSwOZY/Ext1ToKemi2PMr+JXAeHXu5rUxMlb3MNl2Pb0adlKth6NJ7aWqNX62P21a+yPvE49wM4z7k9+mP8Krvf8dRj3Of5bev+e1fz569+3B+0brgkSPxxbaFDJnMOheHdDtioI4CXV3YX2oR47GO8VvUk814f4i+LPxV8YGRPEnxE8ba5FIWDWl74i1ieyAY8hLH7ULNFPdY4FU+h4r9g4e/ZzcdV3TlxFxjwjk9KVuaOW081zzE046XUqVbCZNh3Ja+7DGSj/08Pn8X4zcOUb/UcozXGSSsniHhcFTk9NVOFXF1Lf4qKf8AdP6NfFXxj+GngsSDxX8QPCWgSRAlrXUtf0y2viVBBWLTzc/bpnAGfLhgkfA+7xx8w+L/APgoB8AvDolTSNR8Q+NbpAyiPw9oc8FsZBkBWvfEL6LGY8/emtVu1wd0ayd/wwi0u/uD+7t53z3MZGTknPzEZ5ySR6n1Nbtn4K1u7IxbsgPcgkg/QDn8/wBeK/oDhb9nx4X5U6VXiXiXifiWtT5eajhI4Hh/L6trXVSjClmePUXbT2WaUpLrJnyWP8as8rXjluVZZl8Xe06zrY6vDazjPmwtBvTXnw00+x+g3jT/AIKT+Mb4SweAvAWh6FGQUj1DxHf3ev3mw8ealnYrotpbSjIKpLLqMYb7wkBIr5B8b/tKfHH4hiaPxJ8RdfNjOGDaRo9wnh7Smhb/AJYzWGhR2EN5Go4BvhdSNgM7s/NZul/CPVLsqZRLg9QFwP5f19zxyfVtB+BbuUL2rOePvKWPf1H4/wDstf07wf4C+D3AjpVOGvD/AIewuKo8rp5jjcK85zSnKNvfp5nnM8fjaMpNXfsK9KN7JRUVFL4HNONeKs5Uo4/O8dOlO/Nh6FRYPDST0tLD4ONCjNJaLnhJ922238qQ2V9dv+4glkLHcW29S3JJJ6nnkk5PUnkV2Gl+ANa1AoDE0akjGAS2MYx3A9MYP48mvu3w78CeY/8AQ/7vSPOPwx/SvfvDPwKOY82Z7fwH/Afz/pX66fLn56eG/gnPO8bzwSSMcEl1JGfpjA/L6V9H+E/gX/qv9D9P4Mdu/Hp27D3NfoJ4X+BX+r/0Ppj+Dp+mPfuf1r6R8KfAvmL/AEP+7/B/9b/65PWgD4J8I/A3/Vf6H/d/5Z/TrwOnX6g19T+Dvgccxf6F/d42fTI6fiO2M4r7q8JfAz/VH7H6c+X0/Mf5/wCBV9R+EfgeqCMtahR8uSUAHUdyAOP5d+KAPiLwZ8D+YR9j/ukHy/px/Tr7+lfXPgr4I7fJzaY6HOzjj8Pxr6q0L4eaPpSKZI0d1A+VVGNw98D+g7ZxXoENvbW6BIY1jQcAKMdMdcdeo60Aea+HPhvpmkIjzRRs6gDYFHBHXJ6DHtnr9a9JhhhtlWKGJI1BwFVQOQeCcdcjjPJ79hU+E5z269etBC9/5n15/XtQAzd/hjjtjB7H2zx6g8AB2cDk9QBjOT05Pp7jkZzz7H7v/O6l+Qfp69+RQAgPAz1OT+GTnpyMcnOOmQO9IWPOOnt+uM9M9fb65y4bPzz0z0Gf6dR39OlJ+7P+TQAZ4PPXnORnoPcHr07gcYpFPB5x/k9M9T0Az7emKd8mO2Mn19P8/wD6zR8mM9uB/F+H6flQAm7jjjnj6c8Hrj+XI4A5Cbjz7dOfUjqT26dR3PQUvyZ/P1x/n0x/hS4Tn269fX/GgBoOMjGQBz+mfwHP55o3Z59wP0I757Z4PQ885IpwCdvT39Rj9cYpPk/zu4/woAQEk4z2Iz+BwSc9vxxjIPJpSclQD3Az1HUfToQMdcjvR+7/AM57UfJ/nP8Akf070ABYYOB/Pr+HHHBBzwMAetN3E8E9vYf5yfccZA64p/yYHp0HX2/+t9aT5MZ/+K/z2oARjz+ffP49e/uBwcc0pbgcgnAxz34yScjHcfnn2U7Afz6Z/Hp/ntQdnf0HXPtj/P8A9egBpb0PbpzwePz+nA9vUJyB1HBP45OMDk9TjP8AKl+T/Ofp/X/PNLhOP069Ofy70AJuOBx9O3GTkAjp2/L6Um7B+mD25yBx7cY4GcH14IdhcA9vqfU4/XPJpP3f+d1AAD3zgAn2zwMYHP48YGePZARyT04/DOT6jI5Oe5HtxTvk6/49qT5Ov+Pv/n2/KgBC3t9eTx7dR0/IZwPcpTsyc9e/3qKAHbV/H6nPp65o2r6fzpAf/ZcnjgHJx2HTH5nHpQW4688nsfXvkgfQcjpzmgBdq+n6n/GjavYfqfp6/UU0N3Bx698dPUgkduOewyMYcDnJ6Adhz368c/0/CgBML2HqD1OOD2B/Sl2qO3cdz1J7j8RTWPJHHft32kde/wD+qgMM9zluPpx9PTv69+cgDtq+n6n/ABoKr1xnp3J/r/kUhYe4xjt0PPcZ/HoRzjnikLc/keccH9OOM5yR9M5oAdtXnj68k/1o2r6fzpudx5469Oe3t1Ayfrz64Cluw9+3T09ev59DjoCAO2j39Op6enWkwuAegx644Pbr3z+tN3cd849Se2c9x2+vXI45CwOOev6c9cA547DvxycUAO2j0HX1I/8A1nP0/PqbV9Pbv2ppY4P45wfYAHnnv065HqDTs9c54APXBOcZ4zwRxxn+fIAYHIweoHc/3f8A634Dijavp19z/jTd2ATnJ69f90c+v1479Oyg9TzgAcZPGfqef8460ALtX0/U/wCNGF5I75zyTn1/z6+9IGyP0z0PTrgZ7jt0/A0meue4PBPI+9gc8k/h3H4gDgqjnGOM9T/POO/+FG1ew/EH/wCv/Ltn8Wgjg5PU5+8e3rz6Z/8A1Ubs5yDjGePqB1//AFd+ucAAdtXPuOep9fr6/nz70bV/ySOw/wDrZP5mm5G4c4GO+TySO55AOB1xxzxnNIWPY9AOMnuOeh7e/PPXpgAftHPH6nvkdO3egqoGcdAe5Hr7/h3/ACpNxyfTDHrwR0H06dfU+9IT+BIPfgcHIIz1zwOB+mKAHYBJ4/Pp1J/n/TtRsX0/U/40m4d8kdfXo3H4f/WH1C+APXHtjkfXOORQAu0dMde2SeMjP9P/ANVVrmxtLtSlxBHICMZZQTjGPvdf8ffmp85POB+oHKnnH/6s559FB6cgED1HT5c+vJ/p+QB5zrXw30fUlYxxojNn5WUEZ68cfmPoeteIeJvgckgkaO1Vwc8qgI/+v+OD0619alscYJPHB/Lt9O3rmm53cdju6jjp/Tn1xnqaAPzF8TfAn/WZs+Oesf8Aip/Q18/eI/gSCZP9C9efLHr/ALo9/T+tftXdaVp14pE9vE5OQSFCnHPcdSeOee3Xvxmp/DjRL/dsRI2JwAyqR1IHIGc+vfvQB+CPiD4Ef6z/AEP1/wCWf19j6dOR64rxPXvgPy/+h88/8s/58f4/iK/oI1r4I284cwwRyAgkbQCT+HXrn6eteN678B/v/wChnvj936/h7ex9s9QD+fjW/gNy+bL1/wCWY4/T2/Tk4HPk+sfAb7/+heuf3fr74/XqTjHFfv8A618BuWxZHv8A8s/w9Ofp0/ADPlOr/Ab7x+xevWP/AOt+ZPX04oA/AjVfgL97/QvXrHgcegxk/wA6871L4C/e/wBCA6/8syP1xX736p8BeX/0L16R/XuR+tee6l8BT83+hHv/AMs8/wAxQB+Dt78CZEzstpF6n5Qw/LGAR/nFczc/BS+QnYs4/wC+j/6Fnr09QeK/dC++AvX/AEL/AMh8fy4P+fauSvPgJyf9C6/9M+v6ceh9D+gB+IU3wg1WP7vn9+qk+nqv0x9frWe/wq1pem8/WP8AX6fz/Wv2quPgJyf9C/8AIf69B+HufaseX4CZ/wCXL1/5Z8cfh0H65/GgD8ZG+GGuDsfqYzz+Gab/AMKx1z0P/fpv8a/ZBvgJ3+xZ9zH/APWH+e1Rj4Cf9OYP1jx/QUAfjwvwu1xuob8Izz9Of09Ktx/CfWHIz5vPpH79sg/Q+/Wv2Dj+AfP/AB4n1I8v9Qcdf8+9aUPwE5GLL0/5Z+vTt0P6H86APx+g+DmpuRu8/t/CR1x6KPY/j9a3rX4IXUhG6KZsnvv7f559T7V+v9t8BOn+hen/ACz/APsff9fauosvgJyP9CGOP4P/AK3QH8+tAH5CWHwGZiC1oW9ypx+o5/r613mmfAX7v+hDPHRMent61+uFh8Bfu/6F6f8ALPJ/AY4HX2+ld5pnwF+7/oR/79D/AAoA/JzSfgNyv+hen/LLn6nj8eK9S0b4DY2f6F6fwf8A1vy9fUGv1Y0n4C/d/wBC9P8Alnx/LK/5zXqGj/Ab7v8AoWen/LP/AOt356YB9c0AflrofwHPyZsvT/ln/wDW/wA8Y7Aez6B8B/uf6FwcD/V/T1H/ANbnqc1+n2h/AflP9Cz048v1/Af59OceyaF8CQuwm0AHHJTAHHuB+fH1AxQB+Z3h34E/c/0P0H+r+nt/7L/jXvnhr4Ej93/ofp/yz/8AsK/RPR/g9p1oEM6xLtxkBVJ7+gwD656evavR9O8H6LYAbLdXK45YAA49AMen0xye9AHxT4Y+BWPL/wBCxwo+50/MY/If/X+gvD3was7RY2niijwMkEDdxgdMZHpk4Jr3mGGGBdsUSIOmEVVPGMAEDPJJ98DjkVMXxwB9fbjP6dxnjBHFAHN6Z4U0jTFUR2yMwxyyjHA7Djnjnr26V0ixxqAFUKo4AXgDtgAYA9MfhSBifXof03c8Y9skYPFG7JHHHHqPcD+X455wTQA7avcfqf8APH+cUFV7j1PU/j1PtSFuOPXOMgHGM/l/9cU3ccDv68dOmPUH1B9cduCAPIXv356n6+vuaNq+n86azfUdR/T8enXoM8ZI4XfyeOnXp6geuO5oAXYvp+po2qe36+3sabv6+n5Hr0Azz29Oh5BINKW47cgcYzjjOPT07cD3IoAXavp+p/xo2qecZz3yf8aTIHrwDyPqcZ92x36546mk388DjPGO4/H+XuPTkAdtX06epPfHvx19jRtX0/U9/wAe/SmhjgZ//XjGf5Hk9z1xmgN1yPy7DBI6/iR1/LFADtq+n6n/AD6UbVz7nryfUH1z6GmlueOnqORwOePbOT9OnFAbk/p/31j6nGen1HpgAdtU+/4nt+Pajavp/OmhuSeSBnjPuO+fw46D15NLvGO/P06ZPv6Dn0oAXao7fr7e5+v86Nq+n6n/ABpA2SM46evTg8+x4/I9ucpnLfT29x178cnGeMDPINADtq/n7nn9aNqjt09z9fXj8cUm4Ad89s9/f8c9uOMdhSbj79envgjH544PXHbpQA7avp+p/wAaNqnt79T379aaWPYc5PrxjOfyBHt17Yyu4AemBxnoeBj37jHTr60ALtXH8+Tj37+tGFx6AcdT6n39z+eKbuPPXOcAdckYB59fbGOe9G75fw7cdz9MDjp1I+hNADtq+n6n/GjYvp+ppA3Qckk9T9fr6Z+n0o388frjA685z9OPbHWgBdq9Mevf6e+f8+/JtX0/U/40gbjPuevfjqfpkfyAGQKQH6nJ7Yz1PHHoMEgdzzwaAHbV9OnueP1oppfHA5+vP+frRQAuwYxz29O2fb3o2D1PPHUen0pNnUbvTPH/ANf/ADijy/f9P/r0AKFHYn04x659OufxpdgGevIx2/wpuz/a+nH48c/5+tGz368dP/r0AKVAJPPOe47g56/5/CgIOxPB6/T8Mf8A6vrSbMHOeueo9QfT/wCsP5UbOfvfTj0/H/OKAHbB6nn6e/t70mwe/wCn+FJs6/N168f/AF6UrzktzkdvwHegA2D1PP8Annj+dGwe/f07/h/nmk2e/wCn/wBegpnv+n/16AF2g9yfy56e3Pb/ACaCg9T2Ayevt/n8jzQUJ6t+n4ev+fxpCnqeg9P068/r/KgBdgOevH09B046dgPypdg568/T/D/PXrSbO279Pp1xj0H160bD69MYwMdO555/zigA2g8ZPB9vbP5DH09+lLsHPXn6f4f/AK++aTb2JHt/47159hx7j2FGw8/N19vfPr60AGwep/T/AAo2Dnk9Pb3/AA7fpRs4xn15x6jGOtJt6/NjjJ985684/wA9PUAUIPcdj+XPbn60bB6n9P8ACgJjo3rzj1/H8RQExnnqMdP/AK9ABtGep7ngjHBwRx0o2Dn/AB+nse+eePpijaQfvc49B047Z6fp2pNgPf8AIfT37/8A6uKAF2D37+n+GP8APFBUep4H6fl/+v65o2HOc+vUZ6598d/p7UFP9rt9B0I7HgAf5xxQAbQSeTz/ADzz/Lv/AD6Gwe/6f4f5/Kjbn+Ln2+pPrxz/AC9aTZ7/AKf/AF6AAqoOOeQPT1AHb1/x64pQo45J4yOceh479/8AJxSbOeo57YI7jjGR9Pbjv0NvT5u3H6dOfXH6UALsHHXj6f4f5/OjYvqf0/wo2ds/p/8AX/zz3Jymzj73TPb169/agBdox3xk9TjpkZ6f5/QrtBzyeTk/Xn296Tae7dz19Rnnr16n+fSk2ejd/TgYz79s+vHPegBdg9T/AJ/CmNFFIMOoYEdGCsO3qD69PfgdKd5fv+n/ANegL05Hb1/2enPsOeOo46YAMu40HSroESWkRJ4JCgH9OP0/SubvPh9od0GxEFJ9VU/0H4E5+ldxt9G9PfsPf39xg4o2e/X2/H146UAeM3vwg0u4yYxCc5wGXnv7Y7H/ADjPHX3wMgk3FIImHPKhc+n+RxX0vt6fNz04znv7/n0/xUL/ALWf8n39c++c96APja++AwO4izB9f3fH48fkRx+tcnd/ATk/6F/5D/D06nofzzX3ps9/0/8Ar0hjB64PsQMcn0J6e1AH513HwE6/6F6/8s//AKw55/M47Vjy/APk/wChfh5fX26dB6//AFq/Sk28J+8kZ+sak9v89Oc+pFMNjbHrBCeMf6pP8KAPzMb4Cdf9Cz1/5Z8D6cdP85pg+AnP/Hkp+ic/yNfpmdOs+9vB+MS46HngY/z37p/Z1jg/6Nb9/wDlmvv9f8jHPNAH5pp8BP8ApyP/AH75HuOOn+frowfATkf6F/5D9fwHXsPX61+jo0+0HS3g/wC/SU8WluuMQwjH/TJR3z1x/L+dAH592vwE6f6Fn/tn/wDY/l9faums/gJ0/wBC/wDIf69PwH+RX3CIYx91UXoOEA7D+ef1/CnhOOCPy7fn0/z3OQD5KsfgOi7d1oF+qgE/Ukcfz+tdlYfBK0iwZI4Vx34yOeemef8AOK+g9nXnr7e4Pr7Uu3p83r2zk8+/1+nJ65oA8ssfhXo1vtLhCR2VB1HXnHOORz1rqrTwbolpjbbK5HqoA/QD/wCt+tdTs9/0+v8Aj+XFJs9/09sev+e2KAKsOm2UAAit4kx0IRSfzIJq3sXoMgDsAAPw46fTik2e/r29fx/z+VLs4xn17euPf2/nQAbB7/p/hS7B7/p7+3Q5puzvnP4df15/rRs7bv8APPv9f1oAXYPU9Pb/AA9v8etGwH1/T/D/AD9KTZ/tH8j/AI80pTPf9P8A6/8Anp0AoAAg9/x//V/nqKNoGOTwR6evHb3/AM4o2EY+boMcD3J9fWk2f7X6D/H9OlAC7BjHPf0749vajYPU/wCfwo2f7X6ewHr6dfWk8v3/AE/+vQApQcnnn6fXjil2DOeT+X+H+e1N2Z7/AKf/AF80pQ+vXPb1/H/OB3oANg9T+n+FLsHv+npj06mm7Pf3zj098+/+cUbOPvHH0z/I/T8qAHBBxyen88+3v3/Gk2D1P+fwoCY7/p/9f/8AX0PFGznOe+en/wBegA2D3/T/AA/n/jRsHIyex7e4Hb60bSBjdx9P/r8d8+tGz3/T/wCv70ABQE555P8AntRsHPXn6eoPp7Umz/a/T/69Ls689fb39iP8PagA2D1PT29c+lGwe/6f4f5/OjZ156+3uD2PtSbP9r9P/r0ALsHv+n+FGwepznPbr78e3f8ArSbPfHbpjOBj19M/r2o2f7R/I/zzQAuwYxz+n+H+e/QUbB6n/P4UbD03fp/9f/PfoMGz37g9PTPv70ALsHv+n+H+fwFG0HueQB+Axjt7UhTP8X6c9v16ZNGz3/T6fn0/PmgA2D1P+fwpdg468fT1J9Pem7OvPX2/+vRs9/098+vH4f40ALsHqeOO3r9KNg9/0/w/+tRs9+nt7k+vr/IUmz3/AE9fof8A9VAC7B7/AKe3t7UbBzyevt/h79qNn+0f8/j9PypAnv8Ap/ME/wA6AFKA+v6f4UUFM9/0/wDr0UAAYkfl+ZJHt+X60oOcfX+ak/1xRRQAvfr1yfpjHA9j3/x5pf8AP+eT/ntRRQAwt2/3j+QYYxj2zzS5OT7Ff1/z/P2wUUAIXwSMZ/HHYUpOCB6n/P16/wCexRQA0sckegYflz0+gx/nFPJx+RP5f/roooACcLux2Bx9aaWOPfaDn8R/n+lFFAATgn8f0AP/ANbr9cjin/5x/n/PNFFAEZPB/A47fwf48dvUGjd7dFB/Pb06+vfOaKKAHg5/z6gH+vtSZ+8fQfyLf5NFFADQxIH0Yduwz6cDpxjtzmnBiT6AjPv1x/niiigA/ix/s/1/p2+ppmcZ4/hGf0HfPY47iiigB4OSR9R+R/Lv6duc0NwPfnnuOCePyoooATPJ46Kf0J46f575oLEEj0H4dM9P/r9+9FFAB/d+g+nVe3TvS54X6D+a/wCNFFAATgj34+nT/PUU3dkdOu7OO+F/+uPyoooAcTgZ926+26kLEZ+v04yR7/3f1oooAOpA/AnJ5xu9/Y+p565GaAf1x+uz1z6/X3oooAATj8M9z0Ue/qf8k5oDEkemT9eB6/j6Z4680UUAA6/j/wDF04HJP+e7D+lFFADC2M8DAODnvnP09Pf/ABXOT+OOvbKA/nRRQApJyQO56/8AfIz+tJuyenoevrj/AB756dB1oooATt+mMngbM+v4fqACTSk9fx/9n9Pp6/TFFFAAWxj3J/Q49+vNGSc+zAccdwP85zRRQALwPxX9Qopc4UHrwD/L60UUANLHnjtkHuM4/wAR6dKVjheO5I/U/wCf85oooAXdj3xn9N3/AMT+tJuyM/iOT6MO2PQ9MdenHJRQAoJwx9Cf0H+f1/BA2R0HX+o/qc/5zRRQAhY/MPT8e+On4+446U7PJHuB+hP9Mdf/AK5RQAgbOTjoQPwY4/p/+qlLYOPbP5ZP+ef/AK5RQAm7IBx2OR2Od2f/AEHvnqaCTux6Y/Uj/H/POSigALdOOvHX1A/x7EdOtIT1PTjPX1C/0PHHBGe5FFFACscY75z1/T8v8+tKW6nHT/4oj+n6+3JRQAgYnn/ZJ9+uOv4dgP0oLEDP0H5jOfT9Pf2oooAcD/IH880wN93gYJx+WOew7+nb8iigBQep9ieeeynH057Y6UBjj16n/wBC9vb/AD0oooAN2d3HAyOvsf8AD3PPWlBOcexP/j2O+fT8MnHbBRQAgbkjA4OP1AH5ZP8A9ajccgeoB/PPX1xx6dKKKAANwPfcfTpk/wCf60Z+bafb8+uf8n65oooAUtgA4/yQfak3fe9QcZHHTJ+vb170UUABPQDjJI49j/X/AD3ybuOnb/4n6/3v0oooAM5x/PnoSp/qPbjpg4oydu7v7/X/AD9OKKKAFDZxxjP8vm/oP1/CmhicfVQfx9PTp79etFFADt3X23fpj+eff/AU55xyTj8gT/n+ZoooAQvgkY/X2HtRRRQB/9k=" alt="" width="68" height="68" /></p>
<p><span style="font-size: large;">H</span>ello Everyone, this is actually my first time to try posting videos in my blog.  So please excuse the effort if the quality is not too good. Hope to get better at doing this in the future.</p>
<p>A lot of people think that all they need to do in order to do well in the USMLE Step 1 is to get the correct study material and viola, they will get a good score. In reality, using the right study material is just one of many things you need to do right if you want to pass, much less get a high score in this exam.</p>
<p>This video is a short introduction to the first lecture in the series of lectures offered in my course on preparing for the USMLE Step 1. The original lecture is almost 2 hours long. This video is posted in my <a href="http://www.facebook.com/profile.php?ref=profile&amp;id=100000555424908#!/pages/Askdoc-USMLE/206139716788">facebook page</a></p>
<p><object width="470" height="306"><param name="allowfullscreen" value="true" /><param name="allowscriptaccess" value="always" /><param name="movie" value="http://www.facebook.com/v/104833412878506" /><embed src="http://www.facebook.com/v/104833412878506" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="470" height="306"></embed></object></p>
<p>The following is a link to the youtube version: <a href="http://www.youtube.com/watch?v=Jiq4dE7nt1g">http://www.youtube.com/watch?v=Jiq4dE7nt1g</a></p>
<p><object width="425" height="344" classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="allowFullScreen" value="true" /><param name="allowscriptaccess" value="always" /><param name="src" value="http://www.youtube.com/v/Jiq4dE7nt1g&amp;hl=en&amp;fs=1" /><param name="allowfullscreen" value="true" /><embed width="425" height="344" type="application/x-shockwave-flash" src="http://www.youtube.com/v/Jiq4dE7nt1g&amp;hl=en&amp;fs=1" allowFullScreen="true" allowscriptaccess="always" allowfullscreen="true" /></object></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p><span style="color: #339966;"><strong><span style="font-size: large;">Related Posts:</span></strong></span></p>
<ul>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Why You Need to Master the USMLE Step 1" href="../why-you-need-to-master-the-usmle-step-1/" rel="bookmark"><span style="color: #0000ff;">Why You Need to Master the USMLE Step 1</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to NBME Self Assessment Tests and USMLE Review" href="../nbme-self-assessment-tests-and-usmle-review/" rel="bookmark"><span style="color: #0000ff;">NBME Self Assessment Tests and USMLE Review</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Congratulations, Masuma. USMLE Step 1 Score 99/230" href="../congratulations-masuma-usmle-step-1-score-99230/" rel="bookmark"><span style="color: #0000ff;">Congratulations, Masuma. USMLE Step 1 Score 99/230</span></a></span></h2>
</li>
<li>
<h2><span style="font-size: small; color: #0000ff;"><a title="Permanent Link to Attend Askdoc’s USMLE Step 1 Live Lectures" href="../attend-askdocs-usmle-step-1-live-lectures/" rel="bookmark"><span style="color: #0000ff;">Attend Askdoc’s USMLE Step 1 Live Lectures</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fhow-to-master-the-usmle-step-1-an-introduction%2F&amp;title=How%20to%20Master%20the%20USMLE%20Step%201%20%E2%80%93%20an%20Introduction" id="wpa2a_12"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/how-to-master-the-usmle-step-1-an-introduction/feed/</wfw:commentRss>
		<slash:comments>14</slash:comments>
		</item>
		<item>
		<title>NBME Self-Assessment Tests and USMLE Review &#8211; Part II</title>
		<link>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-part-ii/</link>
		<comments>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-part-ii/#comments</comments>
		<pubDate>Sun, 26 Jul 2009 15:29:59 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[USMLE Step 2 CK]]></category>
		<category><![CDATA[accuracy]]></category>
		<category><![CDATA[AMGs]]></category>
		<category><![CDATA[Bank]]></category>
		<category><![CDATA[best time]]></category>
		<category><![CDATA[confirmatory test]]></category>
		<category><![CDATA[correlation]]></category>
		<category><![CDATA[everything]]></category>
		<category><![CDATA[examination]]></category>
		<category><![CDATA[forum]]></category>
		<category><![CDATA[good chance]]></category>
		<category><![CDATA[kaplan]]></category>
		<category><![CDATA[leeway]]></category>
		<category><![CDATA[measure]]></category>
		<category><![CDATA[measure progress]]></category>
		<category><![CDATA[nbme]]></category>
		<category><![CDATA[nbme assessment tests]]></category>
		<category><![CDATA[nbme self assessment]]></category>
		<category><![CDATA[parameters]]></category>
		<category><![CDATA[predictability]]></category>
		<category><![CDATA[predictor]]></category>
		<category><![CDATA[readiness]]></category>
		<category><![CDATA[reason]]></category>
		<category><![CDATA[review]]></category>
		<category><![CDATA[score]]></category>
		<category><![CDATA[screening]]></category>
		<category><![CDATA[screening test]]></category>
		<category><![CDATA[self assessment tests]]></category>
		<category><![CDATA[similarity]]></category>
		<category><![CDATA[Step]]></category>
		<category><![CDATA[step 1]]></category>
		<category><![CDATA[step 2 CK]]></category>
		<category><![CDATA[step 3]]></category>
		<category><![CDATA[study]]></category>
		<category><![CDATA[test takers]]></category>
		<category><![CDATA[Today]]></category>
		<category><![CDATA[usmle]]></category>
		<category><![CDATA[usmle world]]></category>
		<category><![CDATA[usmleword]]></category>
		<category><![CDATA[usmleworld assessment tests]]></category>
		<category><![CDATA[valuable tool]]></category>
		<category><![CDATA[World]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=51</guid>
		<description><![CDATA[<p></p> <p>Today, we will talk more about the NBME self-assessment tests. We previously discussed what the NBME self-assessment tests are and how they impact your USMLE review. You can read the posts here. Now we will cover three important topics. When to use the NBME self-assessment tests, how to use the NBME self-assessment tests <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-part-ii/">NBME Self-Assessment Tests and USMLE Review &#8211; Part II</a></span>]]></description>
			<content:encoded><![CDATA[<p><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/07/dreamstimefree_3433231.jpg"><img class="alignnone size-medium wp-image-697" title="assessment" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/07/dreamstimefree_3433231-300x220.jpg" alt="" width="300" height="220" /></a></p>
<p><span style="font-size: large;">T</span>oday, we will talk more about the NBME self-assessment tests. We previously discussed what the NBME self-assessment tests are and how they impact your USMLE review. You can read the posts <a title="NBME Self Assessment Tests and USMLE Review Part I" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review" target="_blank">here</a>. Now we will cover three important topics. When to use the NBME self-assessment tests, how to use the NBME self-assessment tests and how wise it is to use the USMLE World self-assessment tests instead.</p>
<p><span id="more-51"></span></p>
<p>We now know that the NBME self-assessment tests are accurate in predicting actual USMLE performance. And we also know that the main reason for this accuracy is the correlation study done by NBME between the two tests using AMGs performance in both tests rather than to any real similarity between the 2 tests. This correlation has also been borne out by most test takers who narrated their experience in forums. It can be used to gauge whether you will pass the examination and even if you have a good chance of achieving the score you are aiming for.</p>
<h2>How to use the NBME Self-assessment tests</h2>
<h3>Best time to take the NBME Self-assessment tests</h3>
<p>So when is the best time to take the NBME? The best time is when you think that you are ready for the USMLE. When all parameters indicate that you are probably ready for the USMLE examination, you take the NBME to confirm that you are ready for the examination. In other words, use the NBME as a diagnostic or confirmatory test, instead of a screening test. You can use your performance in USMLE World Q Bank or Kaplan Q Bank as a screening test.</p>
<h3>Use NBME Self-assessment Tests to assess readiness, not identify weak points</h3>
<p>The practice of many to take the NBME Self assessment tests to identify weak points and measure progress in review is not very practical. First, there are only 7 NBME tests (for Step 1) and second, you can take it only once. Taking it more than once invalidates the correlation and therefore its accuracy in predicting actual USMLE performance. Therefore, what do you do if you are still not ready after taking all six tests? You just used up your most valuable tool for predicting your actual performance in the USMLE.</p>
<p>Personally, I used the NBME exam to confirm my readiness to achieve my targeted score of 99. In preparing for USMLE Step 1, when my Kaplan scores were hitting 84 and above, I felt I was ready for the test. I took NBME form 1 only and 740 confirmed my readiness for the USMLE exam since I was aiming for a 99. 600 was enough for a 99, but I would have postponed if I got less than 660. Why? Since I decided I want only a 99, I was giving myself a 10 point leeway (600=240 and 660=250) to make sure I make it to a 99 no ifs, ands, or buts.<!--[if gte vml 1]> < ![endif]--> <img src='http://blogs.askdoc-usmle.com/wp-includes/images/smilies/icon_wink.gif' alt=';-)' class='wp-smiley' />  The same thing holds true for Step 2 CK, I took the exam when my one and only NBME assessment test scored 700, way above what I needed for a 99.</p>
<h3>Timed NBME Self-assessment Tests for best results</h3>
<p>Another common question is whether to take the NBME examination timed or self-paced. Since you are trying to test your actual readiness for the USMLE examination, it is best to simulate actual exam conditions. In my case, I took self-paced but finished everything in the 1 hour allotted for it. I may look over the questions after 1 hour, but I will not change them so as not to alter the score predictability too much. Make sure everyone in the house knows not to disturb you while doing this. Although you can pause the exam, it is not recommended. Also I do not recommend you do it in a public library. There was one person who took the USMLE despite getting a low score in NBME self assessment test. He attributed it to the fact that he took it in a noisy public library and &#8220;upward adjusted&#8221; his predicted score. He failed. So, take it properly and trust the score. One warning, though, correlation is not 100% therefore always give yourself some leeway in case things do not go too well. Never, ever go for the USMLE examination if you scored 400 or less. Your chances of failing is too high and even if you passed 75 and 76 are with you for life.</p>
<h2>What about the USMLE World Self-assessment tests</h2>
<p>Recently, USMLE World started offering their own assessment tests for US$ 30 each, US$ 15 cheaper than NBME&#8217;s assessment tests. The question foremost in everyone&#8217;s mind is, can I switch to UW assessments tests instead of NBME&#8217;s. How wise is a decision like that?</p>
<p>The reason for using assessment tests is to make sure you are ready for the USMLE and to lessen the risk of getting an adverse score. NBME has proven throughout the years, after thousands of test takers, that it is a reliable predictor of your actual score in the USMLE. It is also backed up by correlation studies that have been published in journals. Now, although USMLE World&#8217;s assessment test may also be a reliable predictor of your actual USMLE performance, all we have is their word for it. No study has been cited or provided to independently verify such claim. And not enough empirical evidence from test taker&#8217;s experience forums allow us to make any judgment on its accuracy at all. Surveying forum after forum reveals variable experience with the tests as of now.</p>
<p>My take is that since you only have one shot at the USMLE, it is better to go with what is proven and tested rather than take a risk. Although, you can retake the USMLE if you fail, that failure is recorded and counted against you. If you pass, the score is with you the rest of your professional life. If you chose to, maybe you can use the UW assessment tests as a screening tool. Just be sure to use the NBME assessment test, whatever form to confirm your readiness before actually sitting for the USMLE.</p>
<p><span style="color: #339966; font-size: large;"><strong>Related Posts:</strong></span></p>
<ul>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to Which NBME Self Assessment Form to Use for USMLE Step 1" href="../which-nbme-self-assessment-form-to-use-for-usmle-step-1/" rel="bookmark"><span style="color: #0000ff;">Which NBME Self Assessment Form to Use for USMLE Step 1</span></a></span></h2>
</li>
</ul>
<ul>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self-assessment Tests and USMLE Review – An Update" href="../nbme-self-assessment-tests-and-usmle-review-an-update/" rel="bookmark"><span style="color: #0000ff;">NBME Self-assessment Tests and USMLE Review – An Update</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self Assessment Tests and USMLE Review" href="../nbme-self-assessment-tests-and-usmle-review/" rel="bookmark"><span style="color: #0000ff;">NBME Self Assessment Tests and USMLE Review</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fnbme-self-assessment-tests-and-usmle-review-part-ii%2F&amp;title=NBME%20Self-Assessment%20Tests%20and%20USMLE%20Review%20%26%238211%3B%20Part%20II" id="wpa2a_14"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-part-ii/feed/</wfw:commentRss>
		<slash:comments>218</slash:comments>
		</item>
		<item>
		<title>NBME Self Assessment Tests and USMLE Review</title>
		<link>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review/</link>
		<comments>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review/#comments</comments>
		<pubDate>Fri, 19 Jun 2009 12:37:17 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[USMLE Step 2 CK]]></category>
		<category><![CDATA[USMLE Step 3]]></category>
		<category><![CDATA[AMGs]]></category>
		<category><![CDATA[Bank]]></category>
		<category><![CDATA[correlation]]></category>
		<category><![CDATA[examination]]></category>
		<category><![CDATA[forum]]></category>
		<category><![CDATA[high scores]]></category>
		<category><![CDATA[important concepts]]></category>
		<category><![CDATA[kaplan]]></category>
		<category><![CDATA[nbme]]></category>
		<category><![CDATA[nbme self assessment]]></category>
		<category><![CDATA[pool]]></category>
		<category><![CDATA[predictability]]></category>
		<category><![CDATA[predictor]]></category>
		<category><![CDATA[readiness]]></category>
		<category><![CDATA[review]]></category>
		<category><![CDATA[score]]></category>
		<category><![CDATA[self assessment tests]]></category>
		<category><![CDATA[Step]]></category>
		<category><![CDATA[step 1]]></category>
		<category><![CDATA[study]]></category>
		<category><![CDATA[time constraint]]></category>
		<category><![CDATA[tough questions]]></category>
		<category><![CDATA[usmle]]></category>
		<category><![CDATA[usmle questions]]></category>
		<category><![CDATA[usmle scores]]></category>
		<category><![CDATA[usmle world]]></category>
		<category><![CDATA[World]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=34</guid>
		<description><![CDATA[<p></p> <p>The NBME self assessment test is another of those tools that I feel is responsible for the increasingly high scores in the USMLE. It is a great tool that allows the test-taker to assess his or her readiness for the exam. To a certain extent, if used properly, it is also a useful <span style="color:#777"> . . . &#8594; Read More: <a href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review/">NBME Self Assessment Tests and USMLE Review</a></span>]]></description>
			<content:encoded><![CDATA[<p><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/06/dreamstimefree_1230609.jpg"><img class="alignnone  wp-image-696" title="Pile of books and apple" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/06/dreamstimefree_1230609-300x199.jpg" alt="" width="224" height="148" /></a></p>
<p><span style="font-size: large;">T</span>he NBME self assessment test is another of those tools that I feel is responsible for the increasingly high scores in the USMLE. It is a great tool that allows the test-taker to assess his or her readiness for the exam. To a certain extent, if used properly, it is also a useful tool for the examinee to target a certain score, even 99&#8242;s and achieve it.</p>
<p><span id="more-34"></span></p>
<h2>How the NBME self assessment tests were designed.</h2>
<p>The questions for the NBME self assessment tests were taken from a pool originally designed for the shelf exams of American Medical Student. As such it covers the most important concepts that AMGs are required to know before passing to the next level. It covers the same topics that will be covered in the actual USMLE examination.</p>
<p>The NBME self assessment tests are very good at predicting the score you will get at the USMLE. In fact I read somewhere (unfortunately, I can&#8217;t seem to find the site now though) that at least for Step 1 the 1<sup>st</sup> exam set has a correlation as high as + 0.89, while the others range from + 0.72 to + 0.85. If you go to most of the forums, you will find that the correlation for most examinees is very good.</p>
<h2>Difference between NBME and USMLE.</h2>
<p>Although the topics covered in both the NBME and the USMLE is more or less the same, there is a tremendous difference between them.</p>
<p>First, the NBME questions are much, much more straightforward than the USMLE questions. The NBME has precious little tough questions. Therefore a low score in the NBME is more indicative of lack of knowledge of the topics covered in both exams rather than a lack of mastery of those same topics. Although the latter exam sets have tougher questions than the first sets, they still are not as tough as the tougher parts of the USMLE, plus, they actually have lower correlation with USMLE scores than the first exam set.</p>
<p>Second, the NBME questions total less than the actual USMLE exam and therefore will cover less lower-yield stuff than the actual USMLE exam.</p>
<p>Third, you can have up to 4 hours to answer the examination. Part of the toughness of the USMLE is the time constraint imposed on the examinee.</p>
<p>Fourth, you can take the blocks at a time of your own choosing, usually during periods where you are at your peak effectiveness. The actual examination does not give you such luxury.</p>
<p>Fifth, you have to take the USMLE blocks, 7 to 8 at one time with minimal breaks, which can take its toll, believe me. By the fifth or sixth block, your mind tends to stop functioning. You have only 4 blocks in the NBME and you can take it at your leisure.</p>
<h2>NBME self assessment tests is a good predictor of USMLE performance.</h2>
<p>So despite the obvious difference between the 2, why is the NBME such a good predictor of USMLE performance? The answer lies in the fact that the NBME has taken the time to correlate the results of hundreds of thousands of AMGs with their actual performance in the USMLE. This correlation has taken into account the difference in test conditions and actual content of the examination and that this difference although apparent is not very significant as can be shown by the correlation of + 0.72 to + 0.89 between the various NBME exam sets and the USMLE.</p>
<h2>Ineffective use of NBME self assessment tests</h2>
<p>So the practice of using the &#8220;downloaded&#8221; version of the NBME tests effectively wipes out the predictability of the exam set itself. It&#8217;s effectiveness lies in the statistical analysis they&#8217;ve done for the results and not the results themselves.</p>
<p>Another ineffective practice, is studying the NBME test questions to improve your score. This will be effective only if your original review is so poor that you have not covered the required high yield topics tested in the USMLE properly. Otherwise you are better off studying the questions in USMLE world and Kaplan Q Bank to understand how to answer tough questions and low yield stuff that are more likely to appear in the USMLE.</p>
<p>Another common error is repeating the exact same exam set. The correlation holds only if you take the exam once and only once. Repeating it will raise your score in the NBME which will not be carried over to the USMLE. Therefore, I suggest reserving at least one set to be taken only if you are ready to do the USMLE.</p>
<p>Used properly, the NBME tests can be an effective tool for self-review. So do yourself a favor, use the NBME self assessment tests properly as an assessment tool rather than a study tool. And take the online form rather than downloading them, which is also subject to copyright issues. The NBME self assessment site is <a href="http://www.nbme.org/programs-services/medical-students/sas/index.html">here</a>.</p>
<p><em><strong>*note: <a title="NBME Self Assessment Tests and USMLE Review Part II" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-part-ii" target="_blank">Part II</a> deals with When and How to use the NBME self-assessment tests and whether it is wise to use USMLE World self-assessment tests instead. <a title="NBME Self-assessment Tests and USMLE Review - An Update" href="http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review-an-update/" target="_blank">Part III</a> is an update of this article.</strong></em></p>
<p>&nbsp;</p>
<p><span style="font-size: large;"><strong>Related Posts:</strong></span></p>
<ul>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self-assessment Tests and USMLE Review – An Update" href="../nbme-self-assessment-tests-and-usmle-review-an-update/" rel="bookmark"><span style="color: #0000ff;">NBME Self-assessment Tests and USMLE Review – An Update</span></a></span></h2>
</li>
</ul>
<ul>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to Which NBME Self Assessment Form to Use for USMLE Step 1" href="../which-nbme-self-assessment-form-to-use-for-usmle-step-1/" rel="bookmark"><span style="color: #0000ff;">Which NBME Self Assessment Form to Use for USMLE Step 1</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to NBME Self-Assessment Tests and USMLE Review – Part II" href="../nbme-self-assessment-tests-and-usmle-review-part-ii/" rel="bookmark"><span style="color: #0000ff;">NBME Self-Assessment Tests and USMLE Review – Part II</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to How to Create a Study Plan for the USMLE" href="../how-to-create-a-study-plan-for-the-usmle-2/" rel="bookmark"><span style="color: #0000ff;">How to Create a Study Plan for the USMLE</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to High Yield Fast Facts for the USMLE" href="../high-yield-fast-facts-for-the-usmle/" rel="bookmark"><span style="color: #0000ff;">High Yield Fast Facts for the USMLE</span></a></span></h2>
</li>
<li>
<h2><span style="color: #0000ff; font-size: small;"><a title="Permanent Link to Guide to Self-Evaluation in USMLE Prep" href="../guide-to-self-evaluation-in-usmle-prep/" rel="bookmark"><span style="color: #0000ff;">Guide to Self-Evaluation in USMLE Prep</span></a></span></h2>
</li>
</ul>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fnbme-self-assessment-tests-and-usmle-review%2F&amp;title=NBME%20Self%20Assessment%20Tests%20and%20USMLE%20Review" id="wpa2a_16"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/nbme-self-assessment-tests-and-usmle-review/feed/</wfw:commentRss>
		<slash:comments>105</slash:comments>
		</item>
		<item>
		<title>What to Do on the Day of the USMLE Exam</title>
		<link>http://blogs.askdoc-usmle.com/what-to-do-on-the-day-of-the-usmle-exam/</link>
		<comments>http://blogs.askdoc-usmle.com/what-to-do-on-the-day-of-the-usmle-exam/#comments</comments>
		<pubDate>Fri, 13 Mar 2009 13:24:15 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Exam Preparation]]></category>
		<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[USMLE Step 2 CK]]></category>
		<category><![CDATA[USMLE Step 3]]></category>
		<category><![CDATA[accuracy]]></category>
		<category><![CDATA[Bank]]></category>
		<category><![CDATA[best time]]></category>
		<category><![CDATA[forum]]></category>
		<category><![CDATA[good chance]]></category>
		<category><![CDATA[high yield]]></category>
		<category><![CDATA[last minute]]></category>
		<category><![CDATA[maxim]]></category>
		<category><![CDATA[nbme]]></category>
		<category><![CDATA[Q Banks]]></category>
		<category><![CDATA[reason]]></category>
		<category><![CDATA[score]]></category>
		<category><![CDATA[Step]]></category>
		<category><![CDATA[step 2]]></category>
		<category><![CDATA[step 2 CK]]></category>
		<category><![CDATA[Step 2 CK. USMLE step3]]></category>
		<category><![CDATA[step 3]]></category>
		<category><![CDATA[study]]></category>
		<category><![CDATA[test takers]]></category>
		<category><![CDATA[usmle]]></category>
		<category><![CDATA[usmle step2 CK]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=208</guid>
		<description><![CDATA[<p class="MsoNormal"><span style="font-size: large;">I</span> wrote part of this post in answer to questions from my readers and students. After 2 emails and one answer to comments, I have decided to elaborate and write in more detail as a post that I will share with everyone.</p>
<h3><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/03/dreamstimefree_5126723.jpg"><img class="alignnone size-medium wp-image-712" title="thinking" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/03/dreamstimefree_5126723-300x149.jpg" alt="" width="300" height="149" /></a></h3>
<h3>Be at Your Best on the Day of the USMLE Exam.</h3>
<p class="MsoNormal">So what do you do on the day of the USMLE examination? The day you sit for the USMLE is the culmination of months of preparation. It may seem unfair that no matter how well your performance were in those countless q banks and test simulation, the only performance that really counts is the one you do on exam day. Therefore, it makes sense to maximize your chances of performing well for that date.</p>
<p class="MsoNormal">Your preparation should begin way before the date of your USMLE examination, when you schedule the examination. It is a known fact that during review, people do reach a plateau and the best time to sit for the USMLE exam is just before or just after you reach your peak. Earlier or later than that can result in lower scores. During review, immediately after learning and memorizing your lessons, you start forgetting right away. Normally, the amount of medical concepts you are memorizing and retaining is growing faster than you are forgetting them. However, there comes a time when you reach your peak and eventually plateaus. Afterwards you will go into decline and forget more than you are learning. Most people go into plateau in about 6 to 8 months, therefore the ideal review time for the USMLE is around that long. That is why my USMLE Step 1 prep course is around 6 months long.<span id="more-208"></span></p>
<h3>Stop Studying for the USMLE Exam at the Right Time</h3>
<p class="MsoNormal">The next question you have to ask yourself is when do you actually stop studying? Some make the mistake of studying right up to the night before they sit for the USMLE exam while others start relaxingtwo weeks before their scheduled USMLE exam.</p>
<p class="MsoNormal">What’s wrong with studying up to the last minute? Well to illustrate, imagine a marathon runner who the day before the marathon decides to do a marathon to see if he can win the marathon. The USMLE is an exhausting exam that will test your staminato the limit. Anyone who has taken the USMLE exam can tell you that their brains felt like mush and refuses to function properly in the last 2 blocks of the USMLE exam. I know, mine did. Therefore, it makes sense to rest as much as possible the day before the examination to regenerate your energy for the battle ahead. In fact I recommend to stop studying 2 days before the actual day of your USMLE examination.</p>
<p class="MsoNormal">Now if resting is good, why shouldn’t I rest 1 or two weeks before my scheduled USMLE exam. Again, let’s use a sports example to answer this question. Professional boxers usually arrive a week or 2 before the bout to the venue where the bout will be held. By this time they’ve already finished their training. Any boxer, who has not finished training for the bout by that time is bound to lose the fight. And yet instead of painting the town red, they spend their time in the gym, practicing and sparring. The reason is so that they can maintain focus on the bout itself. Losing focus this late may mean losing the bout. The same holds true with preparing for the USMLE. The problem most old grad have is to start their USMLE review. They usually go through lots of false starts before their review start going smoothly. The main reason is that it’s been too long since they’ve studied and there are lots of things going on in their life that its hard to focus on the prep. Getting distracted and losing focus too early before the exam can cause you to perform at less than peak condition in the actual USMLE examination. You need to block off everything until you’ve finished the exam.</p>
<h3>What to Do 1 to 2 Weeks Before the Actual USMLE Exam.</h3>
<p class="MsoNormal">So what should you be doing 1 to 2 weeks before the actual examination? Well definitely you should have finished the heavy lifting and not studying anything new. The reason is that your mind will tend to remember better the most recent things you have studied and if that is low yield new stuff (presuming you studied the higher yield stuff first), that is what you will remember better and unfortunately has less chances of appearing in the exam. Therefore the best thing to do at this point is try to cover the highest yield stuff. If you are in my course, you would be enrolled in the High Yield Fast Facts (HYFF) Course, a compilation of the highest yield test materials in electronic flashcard format. If you are reviewing on your own, you can use the Rapid Review section of First Aid at the back of the book. However, it is in table format which is less effective than in flashcard format. This way you remember the highest yield information best when you sit for the exam. (Did I mention that someone who got a 99/256 use my HYFF course two weeks before the exam? <a href="http://www.prep4usmle.com/forum/thread/81166/">see here</a>!)</p>
<h3>What to Do the Last 2 Days Before the USMLE Exam</h3>
<p class="MsoNormal">Another important thing to consider is how far you lived from the Prometric Center where you will be taking your USMLE exam. The exam is a high stress event. If you have to drive through traffic and you are 2 hours away, the stress can be tremendous. Worse, traffic may be unpredictable and you may get there late. In my case, I lived about 1 hour by car from the Prometric exam site. The route I have to travel is notorious for unpredictable traffic that could last for 2 to 3 hours. So instead of increasing my own stress. I booked myself into a hotel about 10 minute walk from the site the night before. I could take a cab (parking is also terrible) and be there in about 3 minutes including traffic light change. US$100, the price of one night in the hotel is small compared to the $800++ exam fees, $1000++ for books, qbanks, NBME, etc. and 7 months of prep time I had already invested so far. Cab fare is $5 plus tip.</p>
<p class="MsoNormal">You can spend the last 2 days before the examination on anything to relax you. I watched a movie before my exam. A comedy, Ice Age 2. Then on the night before the exam, the most important thing is to get a good night’s rest. That involves a regular meal, not too heavy. Maybe a nice warm bath. Sleep early so you can wake up early. But do not take tranquilizers as that can cause you not to be in peak form the next day. Make sure everything you need is prepared beforehand. (Clothes, food, water, medicine, ID, Exam permit, etc.) Preparing it early in the morning just increases your stress level. In fact if you can prepare everything 2 days before so much the better.</p>
<p class="MsoNormal">Remember, stress is additive. The USMLE examination itself is an extremely stressful event. Any other worries on the same day just adds to the stress. So prepare everything at least 2 to 3 days beforehand so that your only worry is the examination itself on that crucial day.</p>
<h3>What to Do on the Day of USMLE Exam Itself</h3>
<p class="MsoNormal">Now a few things to remember on the day of the examination itself. <strong>The most important is to never leave a question blank.</strong> There is no penalty for a wrong answer. The USMLE is an MCQ exam and one answer is always correct. An unanswered question is a sure wrong, while a question answered even with a guess is a possible right. And just one additional right answer may mean the difference between a 74 and 75 or a 98 and 99. As sports great Wayne Gretzky said, “ You miss 100% of the shot you do not take.”</p>
<p class="MsoNormal">So what’s a method to make sure you do this. Well, you should allocate around 10 seconds per question to randomly pick the answer once your time runs out. At the two minute warning, it means you can randomly answer at least 12 questions. So if you have less than that to answer then you can start randomly answering the q’s that you have not finished. For example at the 2 minute warning, you have six questions unanswered. Continue answering as before, but at the one minute mark, just randomly guess an answer on the remaining unanswered questions.</p>
<p class="MsoNormal">Now for pacing in the actual examination. The best pacing schedule makes use of a couple of facts. One, you are more alert in the early morning than in the afternoon when the exam will have taken it&#8217;s toll. Therefore it makes sense to schedule more blocks before lunch. So for USMLE Step 1,  4, 3 would be good. For USMLE Step 2, no choice but 4, 4. Now you are sleepiest after lunch, because of the act of digestion, therefore schedule only 1 block after lunch then have a break afterward. Never take more than 2 blocks before you take a break with some food or sugared drink. Your sugar level starts falling after 2 hours (physiology of fasting) and sugar is the main fuel for your brain.</p>
<p class="MsoNormal">So best to schedule 2 blocks, 15 minute break, 2 blocks then 25 minute lunch, then 1 block, 10 minute break, then last 2 blocks.(or 3 blocks if Step 2) You can take a break between the last 2 blocks if you feel you need it. Notice that the total break is 50 minutes. Reason is that the actual break will usually be longer than the time you scheduled it. Just logging in and out of the room will take 1.5 to 2 minutes. The rest room is usually two doors out (both the exam center in my home country and the one in San Francisco where I took Step 3 have the same layout. So I presume all Prometric centers have the same general layout) So you have to walk. If you just need a short break between blocks, just sit on your cubicle and rest for a minute or two before starting the next block. As I said logging in and out is a time waster.</p>
]]></description>
			<content:encoded><![CDATA[<p class="MsoNormal"><span style="font-size: large;">I</span> wrote part of this post in answer to questions from my readers and students. After 2 emails and one answer to comments, I have decided to elaborate and write in more detail as a post that I will share with everyone.</p>
<h3><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/03/dreamstimefree_5126723.jpg"><img class="alignnone size-medium wp-image-712" title="thinking" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2009/03/dreamstimefree_5126723-300x149.jpg" alt="" width="300" height="149" /></a></h3>
<h3>Be at Your Best on the Day of the USMLE Exam.</h3>
<p class="MsoNormal">So what do you do on the day of the USMLE examination? The day you sit for the USMLE is the culmination of months of preparation. It may seem unfair that no matter how well your performance were in those countless q banks and test simulation, the only performance that really counts is the one you do on exam day. Therefore, it makes sense to maximize your chances of performing well for that date.</p>
<p class="MsoNormal">Your preparation should begin way before the date of your USMLE examination, when you schedule the examination. It is a known fact that during review, people do reach a plateau and the best time to sit for the USMLE exam is just before or just after you reach your peak. Earlier or later than that can result in lower scores. During review, immediately after learning and memorizing your lessons, you start forgetting right away. Normally, the amount of medical concepts you are memorizing and retaining is growing faster than you are forgetting them. However, there comes a time when you reach your peak and eventually plateaus. Afterwards you will go into decline and forget more than you are learning. Most people go into plateau in about 6 to 8 months, therefore the ideal review time for the USMLE is around that long. That is why my USMLE Step 1 prep course is around 6 months long.<span id="more-208"></span></p>
<h3>Stop Studying for the USMLE Exam at the Right Time</h3>
<p class="MsoNormal">The next question you have to ask yourself is when do you actually stop studying? Some make the mistake of studying right up to the night before they sit for the USMLE exam while others start relaxingtwo weeks before their scheduled USMLE exam.</p>
<p class="MsoNormal">What’s wrong with studying up to the last minute? Well to illustrate, imagine a marathon runner who the day before the marathon decides to do a marathon to see if he can win the marathon. The USMLE is an exhausting exam that will test your staminato the limit. Anyone who has taken the USMLE exam can tell you that their brains felt like mush and refuses to function properly in the last 2 blocks of the USMLE exam. I know, mine did. Therefore, it makes sense to rest as much as possible the day before the examination to regenerate your energy for the battle ahead. In fact I recommend to stop studying 2 days before the actual day of your USMLE examination.</p>
<p class="MsoNormal">Now if resting is good, why shouldn’t I rest 1 or two weeks before my scheduled USMLE exam. Again, let’s use a sports example to answer this question. Professional boxers usually arrive a week or 2 before the bout to the venue where the bout will be held. By this time they’ve already finished their training. Any boxer, who has not finished training for the bout by that time is bound to lose the fight. And yet instead of painting the town red, they spend their time in the gym, practicing and sparring. The reason is so that they can maintain focus on the bout itself. Losing focus this late may mean losing the bout. The same holds true with preparing for the USMLE. The problem most old grad have is to start their USMLE review. They usually go through lots of false starts before their review start going smoothly. The main reason is that it’s been too long since they’ve studied and there are lots of things going on in their life that its hard to focus on the prep. Getting distracted and losing focus too early before the exam can cause you to perform at less than peak condition in the actual USMLE examination. You need to block off everything until you’ve finished the exam.</p>
<h3>What to Do 1 to 2 Weeks Before the Actual USMLE Exam.</h3>
<p class="MsoNormal">So what should you be doing 1 to 2 weeks before the actual examination? Well definitely you should have finished the heavy lifting and not studying anything new. The reason is that your mind will tend to remember better the most recent things you have studied and if that is low yield new stuff (presuming you studied the higher yield stuff first), that is what you will remember better and unfortunately has less chances of appearing in the exam. Therefore the best thing to do at this point is try to cover the highest yield stuff. If you are in my course, you would be enrolled in the High Yield Fast Facts (HYFF) Course, a compilation of the highest yield test materials in electronic flashcard format. If you are reviewing on your own, you can use the Rapid Review section of First Aid at the back of the book. However, it is in table format which is less effective than in flashcard format. This way you remember the highest yield information best when you sit for the exam. (Did I mention that someone who got a 99/256 use my HYFF course two weeks before the exam? <a href="http://www.prep4usmle.com/forum/thread/81166/">see here</a>!)</p>
<h3>What to Do the Last 2 Days Before the USMLE Exam</h3>
<p class="MsoNormal">Another important thing to consider is how far you lived from the Prometric Center where you will be taking your USMLE exam. The exam is a high stress event. If you have to drive through traffic and you are 2 hours away, the stress can be tremendous. Worse, traffic may be unpredictable and you may get there late. In my case, I lived about 1 hour by car from the Prometric exam site. The route I have to travel is notorious for unpredictable traffic that could last for 2 to 3 hours. So instead of increasing my own stress. I booked myself into a hotel about 10 minute walk from the site the night before. I could take a cab (parking is also terrible) and be there in about 3 minutes including traffic light change. US$100, the price of one night in the hotel is small compared to the $800++ exam fees, $1000++ for books, qbanks, NBME, etc. and 7 months of prep time I had already invested so far. Cab fare is $5 plus tip.</p>
<p class="MsoNormal">You can spend the last 2 days before the examination on anything to relax you. I watched a movie before my exam. A comedy, Ice Age 2. Then on the night before the exam, the most important thing is to get a good night’s rest. That involves a regular meal, not too heavy. Maybe a nice warm bath. Sleep early so you can wake up early. But do not take tranquilizers as that can cause you not to be in peak form the next day. Make sure everything you need is prepared beforehand. (Clothes, food, water, medicine, ID, Exam permit, etc.) Preparing it early in the morning just increases your stress level. In fact if you can prepare everything 2 days before so much the better.</p>
<p class="MsoNormal">Remember, stress is additive. The USMLE examination itself is an extremely stressful event. Any other worries on the same day just adds to the stress. So prepare everything at least 2 to 3 days beforehand so that your only worry is the examination itself on that crucial day.</p>
<h3>What to Do on the Day of USMLE Exam Itself</h3>
<p class="MsoNormal">Now a few things to remember on the day of the examination itself. <strong>The most important is to never leave a question blank.</strong> There is no penalty for a wrong answer. The USMLE is an MCQ exam and one answer is always correct. An unanswered question is a sure wrong, while a question answered even with a guess is a possible right. And just one additional right answer may mean the difference between a 74 and 75 or a 98 and 99. As sports great Wayne Gretzky said, “ You miss 100% of the shot you do not take.”</p>
<p class="MsoNormal">So what’s a method to make sure you do this. Well, you should allocate around 10 seconds per question to randomly pick the answer once your time runs out. At the two minute warning, it means you can randomly answer at least 12 questions. So if you have less than that to answer then you can start randomly answering the q’s that you have not finished. For example at the 2 minute warning, you have six questions unanswered. Continue answering as before, but at the one minute mark, just randomly guess an answer on the remaining unanswered questions.</p>
<p class="MsoNormal">Now for pacing in the actual examination. The best pacing schedule makes use of a couple of facts. One, you are more alert in the early morning than in the afternoon when the exam will have taken it&#8217;s toll. Therefore it makes sense to schedule more blocks before lunch. So for USMLE Step 1,  4, 3 would be good. For USMLE Step 2, no choice but 4, 4. Now you are sleepiest after lunch, because of the act of digestion, therefore schedule only 1 block after lunch then have a break afterward. Never take more than 2 blocks before you take a break with some food or sugared drink. Your sugar level starts falling after 2 hours (physiology of fasting) and sugar is the main fuel for your brain.</p>
<p class="MsoNormal">So best to schedule 2 blocks, 15 minute break, 2 blocks then 25 minute lunch, then 1 block, 10 minute break, then last 2 blocks.(or 3 blocks if Step 2) You can take a break between the last 2 blocks if you feel you need it. Notice that the total break is 50 minutes. Reason is that the actual break will usually be longer than the time you scheduled it. Just logging in and out of the room will take 1.5 to 2 minutes. The rest room is usually two doors out (both the exam center in my home country and the one in San Francisco where I took Step 3 have the same layout. So I presume all Prometric centers have the same general layout) So you have to walk. If you just need a short break between blocks, just sit on your cubicle and rest for a minute or two before starting the next block. As I said logging in and out is a time waster.</p>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fwhat-to-do-on-the-day-of-the-usmle-exam%2F&amp;title=What%20to%20Do%20on%20the%20Day%20of%20the%20USMLE%20Exam" id="wpa2a_18"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/what-to-do-on-the-day-of-the-usmle-exam/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>How to Create a Study Plan for the USMLE</title>
		<link>http://blogs.askdoc-usmle.com/how-to-create-a-study-plan-for-the-usmle-2/</link>
		<comments>http://blogs.askdoc-usmle.com/how-to-create-a-study-plan-for-the-usmle-2/#comments</comments>
		<pubDate>Sun, 26 Oct 2008 18:11:59 +0000</pubDate>
		<dc:creator>askdoc</dc:creator>
				<category><![CDATA[Study Methods]]></category>
		<category><![CDATA[USMLE Step 1]]></category>
		<category><![CDATA[USMLE Step 2 CK]]></category>
		<category><![CDATA[USMLE Step 3]]></category>
		<category><![CDATA[AMGs]]></category>
		<category><![CDATA[clinical vignettes]]></category>
		<category><![CDATA[Flashcards]]></category>
		<category><![CDATA[high scores]]></category>
		<category><![CDATA[how]]></category>
		<category><![CDATA[important concepts]]></category>
		<category><![CDATA[knowledge acquisition]]></category>
		<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Microbiology]]></category>
		<category><![CDATA[pharmacology]]></category>
		<category><![CDATA[planner]]></category>
		<category><![CDATA[poor performance]]></category>
		<category><![CDATA[Q Banks]]></category>
		<category><![CDATA[step 2 CK]]></category>
		<category><![CDATA[study aids]]></category>
		<category><![CDATA[study method]]></category>
		<category><![CDATA[study plan]]></category>
		<category><![CDATA[textbook]]></category>
		<category><![CDATA[usmle preparation]]></category>
		<category><![CDATA[usmle questions]]></category>
		<category><![CDATA[USMLE Step 2 CS]]></category>
		<category><![CDATA[usmle step 2 cs prep]]></category>
		<category><![CDATA[usmle step2 CK]]></category>
		<category><![CDATA[visual resources]]></category>
		<category><![CDATA[why]]></category>

		<guid isPermaLink="false">http://blogs.askdoc-usmle.com/?p=168</guid>
		<description><![CDATA[<p><strong>Note: This was initially published in 6 parts and was then consolidated into a <a title="How to Create a Study Plan for the USMLE Download Page" href="http://blogs.askdoc-usmle.com/how-to-create-a-study-plan-for-the-usmle/" target="_blank">downloadable ebook.</a></strong></p>
<h3><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2008/10/dreamstimefree_2328106.jpg"><img class="alignnone size-medium wp-image-737" title="study planner" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2008/10/dreamstimefree_2328106-300x225.jpg" alt="" width="300" height="225" /></a></h3>
<h3>Why create a study plan for the USMLE?</h3>
<p>This is probably the question foremost in the mind of anyone who ever thought of tackling the USMLE. I remember when I was starting out, how this pre-occupied me a lot. Although studying for the USMLE is a big endeavor, studying how to study for the USMLE is no mean feat either. Just like an architect or engineer needs to plan out how to build a building before actually building it, we need to plan out how to prepare for the USMLE before we even begin studying.</p>
<p>Now some people can just jump right into reviewing and 3 to 5 months later take the exam and come out with a 99. I&#8217;m not one of those and so are I believe majority of those taking the USMLE. Some will start by applying and scheduling an exam 5 months later, only to find out that they&#8217;re not ready. So they extend their period of eligibility and still they&#8217;re not ready. Some will take the exam and fail or score so low that it amounts to the same thing. Some will forfeit the application fees and reapply later. Of those who do, some wind up getting good scores because they&#8217;ve learned their lesson and did better preparation this time, while for others the results are going to be poor because they did not change anything they&#8217;ve done before. Proper planning is crucial for proper preparation<span id="more-168"></span></p>
<h3>Steps to creating a USMLE study plan.</h3>
<p>Often, in forums, I&#8217;ve heard people refer to taking the USMLE in military terms. Going to War against the USMLE, they call it. Military generals never go to war without a thorough battle plan, that is if they expect to win and neither should you. We&#8217;ll be tackling this topic head on.</p>
<p>The Steps to creating a study plan are:</p>
<ol>
<li>Determine your objective</li>
<li>Know thy enemy</li>
<li>Know the learning process</li>
<li>Know the components of a good study plan</li>
<li>Know the factors that can affect your study plan</li>
<li>Scheduling</li>
<li>Importance of sleep, rest and recreation</li>
<li>Putting it all together</li>
</ol>
<h3>Determine your objective for the USMLE.</h3>
<p>Just like all battle plans, you start out with what is your main objective.</p>
<ol>
<li>Is it to pass the exam?</li>
<li>Get an average score?</li>
<li>Beat the mean?</li>
<li>Ace it?</li>
</ol>
<p>High scores isn&#8217;t everything in the match. But it can make up for other deficiencies in your resume, like less than stellar grades in medical school, older grad, lack of USCE, etc. Often you see people in forums posting their study plans and asking if it is enough, but enough for what. Determining your objective is the first step in assessing whether your study plan is adequate or not.</p>
<p>So how high a score should you aim for? Well, it is a universal truth that most people do not achieve what they aim for so it is a good maxim to aim high. In the Greatest Salesman in the World, Og Mandino stated that</p>
<p>&#8220;It is better to aim for the moon and hit an eagle then to aim for the eagle and hit a rock.&#8221;</p>
<p>If you aim for a 75 and fail to reach it, you are in trouble. If you really want a 99 aim for a high 99 so you have points to spare in case not everything went as planned.</p>
<p>One word about setting objectives is to never set it in stone. As you finish your study plan and even as you begin your studies, you may find that your objective may change. Either you&#8217;ve underestimated yourself and have found out that you could do better, or your situation&#8217;s change, (e.g. your wife gets pregnant or you got pregnant, lost your job, got promoted, etc.) Do not be afraid to reset your objective, just be aware how it will impact your over-all chance in the match.</p>
<p>We&#8217;ve often heard about how people downgrade their objectives when they are unable to follow through on their plans. But how often have you heard of people who failed to upgrade their objectives when presented with the opportunity.</p>
<p>In 1863, on the first day of the Battle of Gettysburg, when Gen. Robert E. Lee&#8217;s Confederate Army defeated the Union Soldiers defending the three ridges south of Gettysburg, Lt. Gen. Robert Ewell refused to take Cemetery Hill, which wasn&#8217;t part of the original Battle Plan, even though it was lightly defended at that time. On days 2 and 3 after Cemetery Hill was reinforced by Union troops, the Confederates made numerous charges to take Cemetery Hill to no avail. This led to the famous Pickett&#8217;s charge by 12,500 Confederate troops on the 3<sup>rd</sup> day of battle which was repulsed by union rifle and artillery fire at great loss to the Confederates. By refusing to upgrade his objective, Gen. Ewell missed an opportunity that could have changed the outcome of the war and the destiny of the United States.</p>
<p>&nbsp;</p>
<h3>Know thy enemy.</h3>
<p>Now like all good Generals, we have decided on our main objective for the USMLE. The next step is to study the nature of the enemy, only then can we know how to defeat it.</p>
<p>Now someone might say, why don&#8217;t you just post a study plan and like good soldiers we will follow them. Well that would be easier for me, but I doubt it will work or be effective for a lot of you. You see, a plan presumes that there is an objective, takes into account where you are coming from, your skills and particular strengths and weaknesses and your particular condition. A one-size fits all plan presumes you have the same objective, the same skill sets, the same background and the same prevailing environment which is just not true.</p>
<p>Now normally when somebody asks you how to go to Times Square, you presume he is somewhere in NY. But in the internet, the person may be in San Francisco, Baltimore, London, Karachi or even Manila. And the answer would be different in each case.</p>
<p>So too must your study plan be different depending on your particular circumstances. Just as a doctor tailor makes his treatment plans depending on your circumstances (child, adult, geriatrics or healthy, immuno-compromised, debilitated) we must tailor make our study plans accordingly. But just as doctors have treatment guidelines to guide them in formulating a good treatment plan, so too does this book attempt to provide you with guidelines on how to study to help you formulate a good study plan.</p>
<p>Now a thorough analysis of the USMLE even just Step 1 is impossible in a short article such as this due to its complexity. For those who want more details, refer to my post <a title="Concept of Mastery and Know in USMLE Content" href="../../../../../mastery-know-in-usmle-content">here</a> and <a title="Mastery, Know and Familiar applied to USMLE review" href="../../../../../mastery-know-and-familiar-applied-to-usmle-review">here</a>.</p>
]]></description>
			<content:encoded><![CDATA[<p><strong>Note: This was initially published in 6 parts and was then consolidated into a <a title="How to Create a Study Plan for the USMLE Download Page" href="http://blogs.askdoc-usmle.com/how-to-create-a-study-plan-for-the-usmle/" target="_blank">downloadable ebook.</a></strong></p>
<h3><a href="http://blogs.askdoc-usmle.com/wp-content/uploads/2008/10/dreamstimefree_2328106.jpg"><img class="alignnone size-medium wp-image-737" title="study planner" src="http://blogs.askdoc-usmle.com/wp-content/uploads/2008/10/dreamstimefree_2328106-300x225.jpg" alt="" width="300" height="225" /></a></h3>
<h3>Why create a study plan for the USMLE?</h3>
<p>This is probably the question foremost in the mind of anyone who ever thought of tackling the USMLE. I remember when I was starting out, how this pre-occupied me a lot. Although studying for the USMLE is a big endeavor, studying how to study for the USMLE is no mean feat either. Just like an architect or engineer needs to plan out how to build a building before actually building it, we need to plan out how to prepare for the USMLE before we even begin studying.</p>
<p>Now some people can just jump right into reviewing and 3 to 5 months later take the exam and come out with a 99. I&#8217;m not one of those and so are I believe majority of those taking the USMLE. Some will start by applying and scheduling an exam 5 months later, only to find out that they&#8217;re not ready. So they extend their period of eligibility and still they&#8217;re not ready. Some will take the exam and fail or score so low that it amounts to the same thing. Some will forfeit the application fees and reapply later. Of those who do, some wind up getting good scores because they&#8217;ve learned their lesson and did better preparation this time, while for others the results are going to be poor because they did not change anything they&#8217;ve done before. Proper planning is crucial for proper preparation<span id="more-168"></span></p>
<h3>Steps to creating a USMLE study plan.</h3>
<p>Often, in forums, I&#8217;ve heard people refer to taking the USMLE in military terms. Going to War against the USMLE, they call it. Military generals never go to war without a thorough battle plan, that is if they expect to win and neither should you. We&#8217;ll be tackling this topic head on.</p>
<p>The Steps to creating a study plan are:</p>
<ol>
<li>Determine your objective</li>
<li>Know thy enemy</li>
<li>Know the learning process</li>
<li>Know the components of a good study plan</li>
<li>Know the factors that can affect your study plan</li>
<li>Scheduling</li>
<li>Importance of sleep, rest and recreation</li>
<li>Putting it all together</li>
</ol>
<h3>Determine your objective for the USMLE.</h3>
<p>Just like all battle plans, you start out with what is your main objective.</p>
<ol>
<li>Is it to pass the exam?</li>
<li>Get an average score?</li>
<li>Beat the mean?</li>
<li>Ace it?</li>
</ol>
<p>High scores isn&#8217;t everything in the match. But it can make up for other deficiencies in your resume, like less than stellar grades in medical school, older grad, lack of USCE, etc. Often you see people in forums posting their study plans and asking if it is enough, but enough for what. Determining your objective is the first step in assessing whether your study plan is adequate or not.</p>
<p>So how high a score should you aim for? Well, it is a universal truth that most people do not achieve what they aim for so it is a good maxim to aim high. In the Greatest Salesman in the World, Og Mandino stated that</p>
<p>&#8220;It is better to aim for the moon and hit an eagle then to aim for the eagle and hit a rock.&#8221;</p>
<p>If you aim for a 75 and fail to reach it, you are in trouble. If you really want a 99 aim for a high 99 so you have points to spare in case not everything went as planned.</p>
<p>One word about setting objectives is to never set it in stone. As you finish your study plan and even as you begin your studies, you may find that your objective may change. Either you&#8217;ve underestimated yourself and have found out that you could do better, or your situation&#8217;s change, (e.g. your wife gets pregnant or you got pregnant, lost your job, got promoted, etc.) Do not be afraid to reset your objective, just be aware how it will impact your over-all chance in the match.</p>
<p>We&#8217;ve often heard about how people downgrade their objectives when they are unable to follow through on their plans. But how often have you heard of people who failed to upgrade their objectives when presented with the opportunity.</p>
<p>In 1863, on the first day of the Battle of Gettysburg, when Gen. Robert E. Lee&#8217;s Confederate Army defeated the Union Soldiers defending the three ridges south of Gettysburg, Lt. Gen. Robert Ewell refused to take Cemetery Hill, which wasn&#8217;t part of the original Battle Plan, even though it was lightly defended at that time. On days 2 and 3 after Cemetery Hill was reinforced by Union troops, the Confederates made numerous charges to take Cemetery Hill to no avail. This led to the famous Pickett&#8217;s charge by 12,500 Confederate troops on the 3<sup>rd</sup> day of battle which was repulsed by union rifle and artillery fire at great loss to the Confederates. By refusing to upgrade his objective, Gen. Ewell missed an opportunity that could have changed the outcome of the war and the destiny of the United States.</p>
<p>&nbsp;</p>
<h3>Know thy enemy.</h3>
<p>Now like all good Generals, we have decided on our main objective for the USMLE. The next step is to study the nature of the enemy, only then can we know how to defeat it.</p>
<p>Now someone might say, why don&#8217;t you just post a study plan and like good soldiers we will follow them. Well that would be easier for me, but I doubt it will work or be effective for a lot of you. You see, a plan presumes that there is an objective, takes into account where you are coming from, your skills and particular strengths and weaknesses and your particular condition. A one-size fits all plan presumes you have the same objective, the same skill sets, the same background and the same prevailing environment which is just not true.</p>
<p>Now normally when somebody asks you how to go to Times Square, you presume he is somewhere in NY. But in the internet, the person may be in San Francisco, Baltimore, London, Karachi or even Manila. And the answer would be different in each case.</p>
<p>So too must your study plan be different depending on your particular circumstances. Just as a doctor tailor makes his treatment plans depending on your circumstances (child, adult, geriatrics or healthy, immuno-compromised, debilitated) we must tailor make our study plans accordingly. But just as doctors have treatment guidelines to guide them in formulating a good treatment plan, so too does this book attempt to provide you with guidelines on how to study to help you formulate a good study plan.</p>
<p>Now a thorough analysis of the USMLE even just Step 1 is impossible in a short article such as this due to its complexity. For those who want more details, refer to my post <a title="Concept of Mastery and Know in USMLE Content" href="../../../../../mastery-know-in-usmle-content">here</a> and <a title="Mastery, Know and Familiar applied to USMLE review" href="../../../../../mastery-know-and-familiar-applied-to-usmle-review">here</a>.</p>
<p><a class="a2a_dd a2a_target addtoany_share_save" href="http://www.addtoany.com/share_save#url=http%3A%2F%2Fblogs.askdoc-usmle.com%2Fhow-to-create-a-study-plan-for-the-usmle-2%2F&amp;title=How%20to%20Create%20a%20Study%20Plan%20for%20the%20USMLE" id="wpa2a_20"><img src="http://blogs.askdoc-usmle.com/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share"/></a></p>]]></content:encoded>
			<wfw:commentRss>http://blogs.askdoc-usmle.com/how-to-create-a-study-plan-for-the-usmle-2/feed/</wfw:commentRss>
		<slash:comments>41</slash:comments>
		</item>
	</channel>
</rss>

