-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathnlraa.html
595 lines (562 loc) · 414 KB
/
nlraa.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="author" content="Fernando Miguez" />
<meta name="date" content="2020-04-23" />
<title>Nonlinear Regression Agricultural Applications</title>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css" data-origin="pandoc">
a.sourceLine { display: inline-block; line-height: 1.25; }
a.sourceLine { pointer-events: none; color: inherit; text-decoration: inherit; }
a.sourceLine:empty { height: 1.2em; }
.sourceCode { overflow: visible; }
code.sourceCode { white-space: pre; position: relative; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
code.sourceCode { white-space: pre-wrap; }
a.sourceLine { text-indent: -1em; padding-left: 1em; }
}
pre.numberSource a.sourceLine
{ position: relative; left: -4em; }
pre.numberSource a.sourceLine::before
{ content: attr(data-line-number);
position: relative; left: -1em; text-align: right; vertical-align: baseline;
border: none; pointer-events: all; display: inline-block;
-webkit-touch-callout: none; -webkit-user-select: none;
-khtml-user-select: none; -moz-user-select: none;
-ms-user-select: none; user-select: none;
padding: 0 4px; width: 4em;
color: #aaaaaa;
}
pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
div.sourceCode
{ }
@media screen {
a.sourceLine::before { text-decoration: underline; }
}
code span.al { color: #ff0000; font-weight: bold; } /* Alert */
code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
code span.at { color: #7d9029; } /* Attribute */
code span.bn { color: #40a070; } /* BaseN */
code span.bu { } /* BuiltIn */
code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
code span.ch { color: #4070a0; } /* Char */
code span.cn { color: #880000; } /* Constant */
code span.co { color: #60a0b0; font-style: italic; } /* Comment */
code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
code span.do { color: #ba2121; font-style: italic; } /* Documentation */
code span.dt { color: #902000; } /* DataType */
code span.dv { color: #40a070; } /* DecVal */
code span.er { color: #ff0000; font-weight: bold; } /* Error */
code span.ex { } /* Extension */
code span.fl { color: #40a070; } /* Float */
code span.fu { color: #06287e; } /* Function */
code span.im { } /* Import */
code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
code span.kw { color: #007020; font-weight: bold; } /* Keyword */
code span.op { color: #666666; } /* Operator */
code span.ot { color: #007020; } /* Other */
code span.pp { color: #bc7a00; } /* Preprocessor */
code span.sc { color: #4070a0; } /* SpecialChar */
code span.ss { color: #bb6688; } /* SpecialString */
code span.st { color: #4070a0; } /* String */
code span.va { color: #19177c; } /* Variable */
code span.vs { color: #4070a0; } /* VerbatimString */
code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
</style>
<script>
// apply pandoc div.sourceCode style to pre.sourceCode instead
(function() {
var sheets = document.styleSheets;
for (var i = 0; i < sheets.length; i++) {
if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
try { var rules = sheets[i].cssRules; } catch (e) { continue; }
for (var j = 0; j < rules.length; j++) {
var rule = rules[j];
// check if there is a div.sourceCode rule
if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") continue;
var style = rule.style.cssText;
// check if color or background-color is set
if (rule.style.color === '' && rule.style.backgroundColor === '') continue;
// replace div.sourceCode by a pre.sourceCode rule
sheets[i].deleteRule(j);
sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
}
}
})();
</script>
<style type="text/css">body {
background-color: #fff;
margin: 1em auto;
max-width: 700px;
overflow: visible;
padding-left: 2em;
padding-right: 2em;
font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
font-size: 14px;
line-height: 1.35;
}
#header {
text-align: center;
}
#TOC {
clear: both;
margin: 0 0 10px 10px;
padding: 4px;
width: 400px;
border: 1px solid #CCCCCC;
border-radius: 5px;
background-color: #f6f6f6;
font-size: 13px;
line-height: 1.3;
}
#TOC .toctitle {
font-weight: bold;
font-size: 15px;
margin-left: 5px;
}
#TOC ul {
padding-left: 40px;
margin-left: -1.5em;
margin-top: 5px;
margin-bottom: 5px;
}
#TOC ul ul {
margin-left: -2em;
}
#TOC li {
line-height: 16px;
}
table {
margin: 1em auto;
border-width: 1px;
border-color: #DDDDDD;
border-style: outset;
border-collapse: collapse;
}
table th {
border-width: 2px;
padding: 5px;
border-style: inset;
}
table td {
border-width: 1px;
border-style: inset;
line-height: 18px;
padding: 5px 5px;
}
table, table th, table td {
border-left-style: none;
border-right-style: none;
}
table thead, table tr.even {
background-color: #f7f7f7;
}
p {
margin: 0.5em 0;
}
blockquote {
background-color: #f6f6f6;
padding: 0.25em 0.75em;
}
hr {
border-style: solid;
border: none;
border-top: 1px solid #777;
margin: 28px 0;
}
dl {
margin-left: 0;
}
dl dd {
margin-bottom: 13px;
margin-left: 13px;
}
dl dt {
font-weight: bold;
}
ul {
margin-top: 0;
}
ul li {
list-style: circle outside;
}
ul ul {
margin-bottom: 0;
}
pre, code {
background-color: #f7f7f7;
border-radius: 3px;
color: #333;
white-space: pre-wrap;
}
pre {
border-radius: 3px;
margin: 5px 0px 10px 0px;
padding: 10px;
}
pre:not([class]) {
background-color: #f7f7f7;
}
code {
font-family: Consolas, Monaco, 'Courier New', monospace;
font-size: 85%;
}
p > code, li > code {
padding: 2px 0px;
}
div.figure {
text-align: center;
}
img {
background-color: #FFFFFF;
padding: 2px;
border: 1px solid #DDDDDD;
border-radius: 3px;
border: 1px solid #CCCCCC;
margin: 0 5px;
}
h1 {
margin-top: 0;
font-size: 35px;
line-height: 40px;
}
h2 {
border-bottom: 4px solid #f7f7f7;
padding-top: 10px;
padding-bottom: 2px;
font-size: 145%;
}
h3 {
border-bottom: 2px solid #f7f7f7;
padding-top: 10px;
font-size: 120%;
}
h4 {
border-bottom: 1px solid #f7f7f7;
margin-left: 8px;
font-size: 105%;
}
h5, h6 {
border-bottom: 1px solid #ccc;
font-size: 105%;
}
a {
color: #0033dd;
text-decoration: none;
}
a:hover {
color: #6666ff; }
a:visited {
color: #800080; }
a:visited:hover {
color: #BB00BB; }
a[href^="http:"] {
text-decoration: underline; }
a[href^="https:"] {
text-decoration: underline; }
code > span.kw { color: #555; font-weight: bold; }
code > span.dt { color: #902000; }
code > span.dv { color: #40a070; }
code > span.bn { color: #d14; }
code > span.fl { color: #d14; }
code > span.ch { color: #d14; }
code > span.st { color: #d14; }
code > span.co { color: #888888; font-style: italic; }
code > span.ot { color: #007020; }
code > span.al { color: #ff0000; font-weight: bold; }
code > span.fu { color: #900; font-weight: bold; } code > span.er { color: #a61717; background-color: #e3d2d2; }
</style>
</head>
<body>
<h1 class="title toc-ignore">Nonlinear Regression Agricultural Applications</h1>
<h4 class="author">Fernando Miguez</h4>
<h4 class="date">2020-04-23</h4>
<div id="nonlinear-regression" class="section level1">
<h1>Nonlinear Regression</h1>
<p>For an introduction to this topic see the publication by Archontoulis and Miguez (<a href="https://doi.org/10.2134/agronj2012.0506" class="uri">https://doi.org/10.2134/agronj2012.0506</a>) and the book chapter by Miguez, Archontoulis and Dokoohaki ( <a href="https://doi.org/10.2134/appliedstatistics.2016.0003.c15" class="uri">https://doi.org/10.2134/appliedstatistics.2016.0003.c15</a>).</p>
<p>One of the objectives of those publications was to introduce a large family of nonlinear functions to practicioners in the agricultural research area to a variety of tools that can use to fit data which does not conform to a linear relationship. The feature that distinguishes this approach from others such as ploynomials, splines or gams (to name a few) is that the parameters of the model have biologically meaningful interpretations. In R the approach that makes fitting nonlinear mixed models almost as easy as fitting linear mixed models is the use of self starting functions.</p>
</div>
<div id="index-of-self-starting-functions" class="section level1">
<h1>Index of self starting functions</h1>
<div id="functions-in-base-r" class="section level2">
<h2>Functions in ‘base’ R</h2>
<p><strong>stats</strong> package</p>
<ol style="list-style-type: decimal">
<li>SSasymp (Asymptotic)</li>
<li>SSasympOff (Asymptotic with an offset)</li>
<li>SSasympOrig (Asymptotic through the Origin)</li>
<li>SSbiexp (Bi-exponential)</li>
<li>SSfol (First order compartment)</li>
<li>SSfpl (Four parameter logistic)</li>
<li>SSgompertz (Gompertz)</li>
<li>SSlogis (Logistic)</li>
<li>SSmicmen (Michaelis-Menten)</li>
<li>SSweibull (Weibull)</li>
</ol>
</div>
<div id="functions-in-this-package-nlraa" class="section level2">
<h2>Functions in this package (nlraa)</h2>
<ol style="list-style-type: decimal">
<li>SSbgf (Beta-Growth Function)</li>
<li>SSbgf4 (Four Parameter Beta-Growth Function)</li>
<li>SSbgrp (Beta-Growth Reparameterized)</li>
<li>SSbg4rp (Four Parameter Beta-Growth Reparameterized)</li>
<li>SSdlf (Declining Logistic Function)</li>
<li>SSricker (Ricker population growth)</li>
<li>SSprofd (Profile of protein distribution)</li>
<li>SSnrh (Non-rectangular hyperbola)</li>
<li>SSlinp (linear-plateau)</li>
<li>SSplin (plateau-linear)</li>
<li>SSquadp (quadratic-plateau)</li>
<li>SSpquad (plateau-quadratic)</li>
<li>SSblin (bilinear)</li>
<li>SSexpf (exponential function)</li>
<li>SSexpfp (exponential-plateau)</li>
<li>SSpexpf (plateau-exponential)</li>
<li>SSbell (bell-shaped function)</li>
<li>SSratio (rational function)</li>
<li>SSlogis5 (five-parameter logistic)</li>
<li>SStrlin (tri-linear function)</li>
<li>SSexplin (expolinear)</li>
</ol>
<p>For the reference on the Beta growth function see Yin et al. 2003 (<a href="https://doi.org/10.1093/aob/mcg029" class="uri">https://doi.org/10.1093/aob/mcg029</a>) and Erratum: (<a href="https://doi.org/10.1093/aob/mcg091" class="uri">https://doi.org/10.1093/aob/mcg091</a>). For a reference on a use of the declining logistic see Oddi et al. (2019) (and vignette in this package). For the Ricker model see: (<a href="https://en.wikipedia.org/wiki/Ricker_model" class="uri">https://en.wikipedia.org/wiki/Ricker_model</a>). For the protein profile in the canopy see Johnson et al. (2010) (<a href="https://doi.org/10.1093/aob/mcq183" class="uri">https://doi.org/10.1093/aob/mcq183</a>).</p>
<p>The <em>SSbgrp</em> function is a reparameterized version of <em>SSbgf</em>. The original <em>SSbgf</em> does not enforce the constraint that <em>t.m < t.e</em> and this makes it somewhat numerically unstable for routine use (but more testing is needed). To recover the original parameters from <em>SSbgrp</em>, take the exponential of <em>lt.e</em>, so <em>t.e = exp(lt.e)</em> and likewise <em>t.m = exp(lt.e) - exp(ldt)</em>. There is a similar function for the four parameter Beta growth <em>SSbg4rp</em>.</p>
<p>The main benefit of having these self starting functions is that they can be incorporated in the workflow of package ‘nlme’ which allows for fitting nonlinear mixed models. Although there are other tools available, package nlme is still appropriate for most applications in agricultural, environmental and biological sciences.</p>
<div id="list-of-available-ss-self-start-functions." class="section level3">
<h3>List of available SS (self-start) functions.</h3>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw">apropos</span>(<span class="st">"^SS"</span>)</a></code></pre></div>
<pre><code>## [1] "SS" "SSasymp" "SSasympOff" "SSasympOrig" "SSbell"
## [6] "SSbg4rp" "SSbgf" "SSbgf4" "SSbgrp" "SSbiexp"
## [11] "SSblin" "SSD" "SSdlf" "SSexpf" "SSexpfp"
## [16] "SSexplin" "SSfol" "SSfpl" "SSgompertz" "SSlinp"
## [21] "SSlogis" "SSlogis5" "SSmicmen" "SSnrh" "SSpexpf"
## [26] "SSplin" "SSpquad" "SSprofd" "SSquadp" "SSratio"
## [31] "SSricker" "SStrlin" "SSweibull"</code></pre>
</div>
</div>
</div>
<div id="datasets" class="section level1">
<h1>Datasets</h1>
<p>These are the available datasets distributed with this package:</p>
<ol style="list-style-type: decimal">
<li>“sm”</li>
<li>“lfmc”</li>
<li>“swpg”</li>
<li>“barley”</li>
</ol>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="co">## Sorghum and Maize dataset</span></a>
<a class="sourceLine" id="cb3-2" data-line-number="2"><span class="kw">data</span>(sm)</a>
<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="kw">ggplot</span>(<span class="dt">data =</span> sm, <span class="kw">aes</span>(<span class="dt">x =</span> DOY, <span class="dt">y =</span> Yield, <span class="dt">color =</span> Crop)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span><span class="st"> </span>Input)</a></code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAJACAYAAABSeNRHAAAEGWlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9oU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvuuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTvYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8eUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiYMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpkhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thKbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpXzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477hLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549HQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgYhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjzhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VQNcC+8AAEAASURBVHgB7N0HnBTl/T/wz2zf63fcHVWaICJSREWNGntH1NgxMUYN6j/GkthILNFEfyYaG5ooSUyxY481BI1KUOxKRAQUQVDKHRzX97bN//kO7t7tNW7L7M3Ofh5feLuzs888z/vZmf3uMzPPo+kqgYkCFKAABShAAQpQgAJZEnBkaTvcDAUoQAEKUIACFKAABQwBBqD8IFCAAhSgAAUoQAEKZFWAAWhWubkxClCAAhSgAAUoQAEGoPwMUIACFKAABShAAQpkVYABaFa5uTEKUIACFKAABShAAQag/AxQgAIUoAAFKEABCmRVwJXVrWVgY19//TWCwWAGcmIWFKBAvgmMGjWqxypv3rwZDQ0NPb7OFyhAAQr0JNDbsaWn9+T78pwLQJuamhAIBPK93Vh/ClAgwwKtra0MQDNsyuwoQAEK9CTAU/A9yXA5BShAAQpQgAIUoIApAgxATWFlphSgAAUoQAEKUIACPQkwAO1JhsspQAEKUIACFKAABUwRYABqCiszpQAFKEABClCAAhToSYABaE8yXE4BClCAAhSgAAUoYIoAA1BTWJlpfwm8+uqriEQi/bV5bpcCFLChwKpVq/DGG29ARkpgogAFMiPAADQzjszFAgLPPPMMbrrpJoTDYQuUhkWgAAXsIHDllVfiz3/+M5YvX45Zs2bhvffes0O1WAcK9LtAzo0D2u9iLIDlBKTH8/rrr0ddXZ3lysYCUYACuSuwdOlS1NbW4i9/+YtRiXHjxuHxxx/HHnvskbuVYskpYBEB9oBapCFYjNQFpMdz2rRpuOOOO1LPhO+kAAUo0Elg/PjxuPvuu+NL6+vrORFKXIMPKJCeAAPQ9Pz4bgsIeL1eTJ8+HU6n0wKlYREoQAG7CDgcDvj9fqM6NTU1ePjhh3HGGWfYpXqsBwX6VYABaL/yc+MUoAAFKGB1gTVr1uDSSy/FmWeeaZxtsXp5WT4K5IIAA9BcaCWWkQIUoAAF+kXgs88+wxVXXIHzzjsPRx11VL+UgRulgB0FeBOSHVuVdaIABShAgbQF5Aakq6++Gtdccw0mT56cdn7MgAIUaBdgANpuwUcUoAAFKECBuMBTTz2FrVu34rLLLosvKy8vx7x58+LP+YACFEhNQNNVSu2t/fMuGYstEAj0z8a5VQpQIKcFeuvFWrduHTZv3pzT9WPhKUCB/hHo7djSPyWy/lZ5Daj124glpAAFKEABClCAArYSYABqq+ZkZShAAQpQgAIUoID1BRiAWr+NWEIKUIACFKAABShgKwEGoLZqTlaGAhSgAAUoQAEKWF+AAaj124glpAAFKEABClCAArYSyLlhmNxuN6LRqK0agZWhAAX6X8DlcsHj8fR/QVgCClCAAnkgkHMBaHFxcXxuXrPap7CwELKdDRs2mLWJlPOVMejq6upSfr8Zb5Q52Kurq40hbILBoBmbSDnP0tJSNDQ0wGqjjVVVVaGtrc0oW8qVM+GNPp8PmqahtbXVhNxTzzK232/atCn1TLbzTpnz2+zPifyArqyshAxwHgqFtlOi7L5sxWOLCMixRT6PjY2N2QXZztbk8yKdIbIfWynJMU8+Z/IZs1JyOBzG92p9fb2VigWv14uKigrIsSUSiViqbHYvDE/B272FWT8KUIACFKAABShgMQEGoBZrEBaHAhSgAAUoQAEK2F2AAajdW5j1owAFKEABClCAAhYTYABqsQZhcShAAQpQgAIUoIDdBRiA2r2FWT8KUIACFKAABShgMQEGoBZrEBaHAhSgAAUoQAEK2F2AAajdW5j1owAFKEABClCAAhYTYABqsQZhcShAAQpQgAIUoIDdBRiA2r2FWT8KUIACFKAABShgMQEGoBZrEBaHAhSgAAUoQAEK2F2AAajdW5j1owAFKEABClCAAhYTYABqsQZhcShAAQpQgAIUoIDdBRiA2r2FWT8KUIACFKAABShgMQEGoBZrEBaHAhSgAAUoQAEK2F2AAajdW5j1owAFKEABClCAAhYTYABqsQZhcShAAQpQgAIUoIDdBRiA2r2FWT8KUIACFKAABShgMQEGoBZrEBaHAhSgAAUoQAEK2F3AZfcKsn4UoAAFKEABCiQv0BbS8MUmNxwaMHZQEE52WSWPyHf0KMAAtEcavkABClCAAhTIT4H6Fgd+82yVUflIFAiEHLjl9A0o9Or5CcJaZ1yAv2cyTsoMKUABClCAArkrIAHn7HkD0dzmMP5J8Ano+MOCitytFEtuOQEGoJZrEhaIAhSgAAUo0H8CtY1O+NwqCk1IGtZudiMYTljIJxRIWYABaMp0fCMFKEABClDAfgJet45IVF342SmFu1nWaRU+pUCfBRiA9pmKK1KAAhSgAAXsL1BWEMV3xrbA7WzvBXU7dUyf0gAP7xyx/wcgSzXkRylL0NwMBShAAQpQIFcETt27AV51Gv7tzwtU0KnjkAnN+O7OLblSfJYzBwQYgOZAI7GIFKAABShAgWwLHL97E+QfEwXMEOApeDNUmScFKEABClCAAhSgQI8CDEB7pOELFKAABShAAQpQgAJmCDAANUOVeVKAAhSgAAUoQAEK9CjAALRHGr5AAQpQgAIUoAAFKGCGAANQM1SZJwUoQAEKUIACFKBAjwIMQHuk4QsUoAAFKEABClCAAmYIMAA1Q5V5UoACFKAABShAAQr0KJCVcUCbmprwySefJBRi7733jj9fvnw51qxZg6lTp6KysjK+nA8oQAEKUIACFKAABewnkJUA9N1338Xdd9+NMWPGxAVjAejtt9+OpUuXYuzYsbjnnnswZ84cDB8+PL4eH1CAAhSgAAUoQAEK2EsgKwHoypUrMWPGDPzwhz9M0Fu9ejUWLlyIJ554Ag6HA48++igeeughzJ49O2E9PqEABShAAQpQgAIUsI9A1gJQ6fF8+OGHjZ7OPfbYA5qmYdWqVZg0aZIRfAqpnIJ/4YUXEnTffvttLFq0KL7se9/7numn6d1ut7G94uLi+Hat8sDlcsFq5ZK2lFRQUACv12sVKqMc0pZFRUWWKpMURn5wSdms1pZOp9PYN+VzZqXk8XiMcpnpJW1iZv6xdpe/sq9Eo1ErEcOKxxYBkuOLtL/ZbZNsY4iXrutG2ZJ9r5nry3ElG5/lVOpg1WOe1KWwsNBoz1TqxfekJpCVbxnpAZUkQeg//vEPPPbYY7j11luxfv16lJaWxkteUlKCzZs3x5/LA7k+9KmnnoovO/roo+H3++PPzXgQC6jM3k4qZZcDixXLJXWRLwmrJfGSf1ZL8hmTLzAJ+KyUYp99+aKwUpJyyT8zP/vyOfH5fFmpttV+qEmlrXpssfq+IkGolVI29pVU62vV47HUJ1v7fqp2dnxfVgLQ+++/H2VlZcYB7thjj8Vxxx2HdevWGV++kUgk7hoOh7t8wZx55pmQf7FUU1ODTZs2xZ6a8ld+CcmvbbO3k0rhy8vLUVdXl8pbTXuPBFHV1dXYunUrgsGgadtJJWP5gdPQ0GC5X7ZVVVVoa2szypZKvcx6jxyE5QustbXVrE2klK/sjxJ8prtPDh48uMfty/En3fx7zPzbFySwlxstZR8OhULbWz2rr1vx2CIAcmyRz2NjY2NWPba3Mfk8Si+27MdWSnLMk89ZbW2tlYoV75Wtr6+3VLnkx2BFRYXR+dUxHkm2kL0dW5LNK1/WN71rSAISucM91gslvWQDBw7Ehg0bIF/CW7ZsiVvLYzZinIMPKEABClCAAhSggC0FTA9A5ZfYbbfdhsWLFxuAy5YtM35pTJkyBXvuuacxPNPatWshvQ/PPfccpk2bZktoVooCFKAABShAAQpQYJuA6afg5XTeJZdcgrlz5xr/5BT6VVddZVz/Jtd8zpo1C+eee67RBT5ixAjMnDmTbUMBClCAAhSgAAUoYGMB0wNQsdt9991x3333Qa79kKBTgtJYmj59Oo444gjjOhor3q0cKyf/UoACFKAABShAAQpkRiArAWisqB3veI8tk79yml7+MVGAAhSgAAUoQAEK2F/A9GtA7U/IGlKAAhSgAAUoQAEKJCPAADQZLa5LAQpQgAIUoAAFKJC2AAPQtAmZAQUoQAEKUIACFKBAMgIMQJPR4roUoAAFKEABClCAAmkLMABNm5AZUIACFKAABShAAQokI8AANBktrksBClCAAhSgAAUokLYAA9C0CZkBBShAAQpQgAIUoEAyAgxAk9HiuhSgAAUoQAEKUIACaQswAE2bkBlQgAIUoAAFKEABCiQjwAA0GS2uSwEKUIACFKAABSiQtgAD0LQJmQEFKEABClCAAhSgQDICDECT0eK6FKAABShAAQpQgAJpCzAATZuQGVCAAhSgAAUoQAEKJCPAADQZLa5LAQpQgAIUoAAFKJC2AAPQtAmZAQUoQAEKUIACFKBAMgIMQJPR4roUoAAFKEABClCAAmkLMABNm5AZUIACFKAABShAAQokI8AANBktrksBClCAAhSgAAUokLYAA9C0CZkBBShAAQpQgAIUoEAyAgxAk9HiuhSgAAUoQIE8EtjS7EB9C0OFPGryrFXVlbUtcUMUoAAFKEABCuSEQFtIw93/Lsc3dW6EIhrKCyO45vgauJw5UXwWMgcE+LMmBxqJRaQABShAAQpkU+CyRwbii00etIYcCEc11DY68beFZdksArdlcwEGoDZvYFaPAhSgAAUokIyAnHZ3OnT1Fi3+Nl09/mSdF5FofBEfUCAtAQagafHxzRSgAAUoQAF7CThU3Olsjz3jlQuFu1kYf5UPKJCcAAPQ5Ly4NgUoQAEKUMDWAmUFUYyuDn7bC7qtqi7VI7rL0Da1zNZVZ+WyKMCPUhaxuSkKUIACFKBALgicd3AdqorDcGg6PK4o9h7TggsOrcuForOMOSLAu+BzpKFYTApQgAIUoEC2BORu92tPqEU4oq4ElVPy7K7KFn3ebIcBaN40NStKAQpQgAIUSE6Awy4l58W1+y7A3zR9t+KaFKAABShAAQpQgAIZEGAAmgFEZkEBClCAAhSgAAUo0HcBBqB9t+KaFKAABShAAQpQgAIZEGAAmgFEZkGB/hRoadOwYr0HX9fxku7+bAdumwIUoAAF+i7Ab6y+W3FNClhOYHWNG/csqICuJi1pCTqwy5AALjycQ6VYrqFYIApQgAIUSBBgD2gCB59QIHcE6lsc+N0LlWhucxjBp5R82Tde/Ot/hblTCZaUAhSgAAXyUoABaF42OyttB4GlX3vhcydOzCzzNS9e6bdD9VgHClCAAhSwsQADUBs3LqtmbwG3U8LNronj9nU14RIKUIACFLCWAANQa7UHS0OBPgtMGRGA3xs1psqLvUmmzfv+vvWxp/xLAQpQgAIUsKSApqtkyZL1UKjm5mY4nWqOMBOT5O9yudDW1mbiVlLL2u12IxQKpfZmk96lqXnavF4vgsEgotHEU8ImbbLP2VrRSwrv8XgMq3A43Oe6dLdiQH0UrnrAgy1NGgp9wDmHhLDHjqm3gcOx7Tep1dpR9kfZL9PdJ30+hdRDampqMvb7Hl7OyOLYviL1sNqh16r7ihxbIpEI0t1XMtKAHTKRz6O0oRX3FdmP5XhstST7sdXaUazkeBwIBNLi6u3YklbGNn5zzgWgNTU1pn+ACwsLUVxcjA0bNliu6cvLy1FXZ627nOVAXF1djc2bN1vuoFdaWoqGhgbLfdlXVVUZwZSUzUpJDqISJLW2tlqpWMb+6Pf7sWnTprTKNXjw4B7fX19fj5aWlh5fz8QLEuRVVlaitrbWcj8krXhsEXM5tsjnsbGxMRNNkLE85PMowWe6P4oyVqBvM5JjnnzO5DNmpSSBnnyvyn5mpSQ/cCoqKoxji/zQSTX1dmxJNU+7v4+n4O3ewqwfBShAAQpQgAIUsJgAA1CLNQiLQwEKUIACFKAABewuwADU7i3M+lGAAhSgAAUoQAGLCTAAtViDsDgUoAAFKEABClDA7gIMQO3ewqwfBShAAQpQgAIUsJgAA1CLNQiLQwEKUIACFKAABewuwADU7i3M+lGAAhSgAAUoQAGLCTAAtViDsDgUoAAFKEABClDA7gIMQO3ewqwfBShAAQpQgAIUsJgAA1CLNQiLQwEKUIACFKAABewuwADU7i3M+lGAAhSgAAUoQAGLCTAAtViDsDgUoAAFKEABClDA7gIMQO3ewqwfBShAAQpQgAIUsJgAA1CLNQiLQwEKUIACFKAABewuwADU7i3M+lGAAhSgAAUoQAGLCTAAtViDsDgUoAAFKEABClDA7gIMQO3ewqwfBShAAQpQgAIUsJiAy2LlYXEoQAEKUIACFMhjgdaghqffK8bGBheGlodx0p4NcLC7zHafCAagtmtSVogCFKAABSiQmwKRKPDzhwfB6dARiWr4YqMHry0rxJ3fXw83I5bcbNQeSs3fFD3AcDEFKEABClCAAtkVePb94njwKVuO6hrcziheWVqY3YJwa6YLMAA1nZgboAAFKEABClCgLwJbmp1Gz2fHdUMRB7a2Ojsu4mMbCDAAtUEjsgoUoAAFKEABOwiMHRiEy6l3qcqoqlCXZVyQ2wIMQHO7/Vh6ClCAAhSggG0EDhjfgoElYVUfHQ5Nh9cVxS5DA9hrx1bb1JEV2SbAS3r5SaAABShAAQpQwDICvzyuFh+s9qFOnY6vLA5j8vA2y5SNBcmcAAPQzFkyJwpQgAIUoAAFMiAwdWQgA7kwCysL8BS8lVuHZaMABShAAQpQgAI2FGAAasNGZZUoQAEKUIACFKCAlQUYgFq5dVg2ClCAAhSgAAUoYEMBBqA2bFRWiQIUoAAFKEABClhZgAGolVuHZaMABShAAQpQgAI2FGAAasNGZZUoQAEKUIACFKCAlQUYgFq5dVg2ClCAAhSgAAUoYEMBBqA2bFRWiQIUoAAFKEABClhZgAGolVuHZaMABShAAQpQgAI2FGAAasNGZZUoQAEKUIACFKCAlQUYgFq5dVg2ClCAAhSgAAUoYEMBBqA2bFRWiQIUoAAFKEABClhZgAGolVuHZaMABShAAQpQgAI2FMh6APqf//wHjY2NCZTLly/H/PnzUVtbm7CcTyhAAQpQgAIUoAAF7CeQ1QD0jTfewLXXXostW7bEJW+//Xbccsst+PDDD3HOOefgq6++ir/GBxSgAAUoQAEK5JdAKAI8/2ER/vpGKeYvKcyvyudRbV3Zqqv0bt5///0oKyuLb3L16tVYuHAhnnjiCTgcDjz66KN46KGHMHv27Pg6fEABClCAAhSgQH4IRHXg4gcGw+2MIhRx4D1Nx/xPivC70zaqOCE/DPKllllpTl3XcfPNN+PCCy+Ez+eL265atQqTJk0ygk9ZOHXqVHz66afx1/mAAhSgAAUoQIH8EXjxoyI4VNApwackXdcQVj2ir39WkD8IeVLTrPSASg/nDjvsgD322COBdf369SgtLY0vKykpwebNm+PP5YH0mt5zzz3xZQ8++CDGjRsXf27mg4EDB5qZfUp5a5oGK5ZLKlNeXp5Sncx8k3h1/NFj5raSyVvKVVBQAL/fn8zbTF9XyiVJ9kUrpVi5zPzsu1yurO1bFRUVVuI1yiLGZvqmWmEpV2FhobG/pJqHGe+TcknnitVSNvaVVOssZdve8bg5rCGqgs6OKaiC0dZoifp8FndcnNHHlZWVGc2PmW1fwPQA9Msvv8RLL72EP/7xj11K43Q6EYmonzbfpnA43OULefLkyTj33HNjqxgHoebm5vhzMx643W54vV6YvZ1Uyi47byAQSOWtpr1HDipFRUVGuTq2p2kbTCJjace2trYk3pGdVSX4FCurlU2CMEmyL1opSTtK2dLdJ4uLe/4Ci0ajaee/PTO51EiCqdbWVsj2rJSseGwRH/EKhUIIBoNW4jI+jxKAWvGYJ9+tLS0tlvKS7wmPx7PdY96gUrc6/e5VPaAdg1Ad1cVtav8MZbxOYiXHY/FK5wdFb8eWjBfaJhmaHoC+8sorWLNmDY499liDTA68ElDeeOONqKqqwpIlS+KUcnPS4MGD48/lwe677278iy2sqalBU1NT7Kkpf+WAJ194Zm8nlcJLcGy1cskOLAGotK3VviSkbBK0pHNgSaWdtvce6fmUL1WrtaUEIfJFIW1ppSRlkrZM16u3LwkJCM3+0pb9NxaASvtbKVnx2CI+EhxYcV+RfVg+M1b7ESn7iewv6e4rmf5syo8v+be9cu0/Rt2A9H41IlGH0RPqcUVRXhjFHiPq1HszXSoY3/WxADSdHxO9HVsyX2p75Gh6ACrBZscezJNPPhm33norRowYgYaGBtx5551Yu3atEXg+99xzmDZtmj1kWQsKUIACFKAABZISkBuNbjl9k3HNZ22jE4NKw9h3J2v9IE6qQly5RwHTA9Aet6xekOvMZs2aZQSock2UBKUzZ87s7S18jQIUoAAFKEABmwscsLO1LiGwOXe/VC/rAejjjz+eUNHp06fjiCOOME5jyGlcJgpQgAIUoAAFKEABewtkPQDtjlOuPZJ/TBSgAAUoQAEKUKA/BGQM0qfeLcbbXxQgqO7G331UK36wb726prY/SmP/bVoiALU/M2tIAQpQgAIUoICVBf6woByffu1VRdwWcb7/pQ8ep47T9mmwcrFztmxZGYg+Z3VYcApQgAIUoAAFbC/Q3Kap4FMmymnv7pTB8Bd/7kcg1L7M9hBZrCAD0Cxic1MUoAAFKEABClhPIKKG5fWqIZ86p6gKSGUmJqbMCzAAzbwpc6QABShAAQpQIIcESvw6hlbIBBwdZ7fS1RjSQJGv47IcqpTFi8oA1OINxOJRwKoCbeq01KtLCyBzN6+u4U2EVm0nlosCuSjg+uB9eF59Ba4lH2Wt+D85dIvalpou1B1FoTeKEZUh3Hr6xqxtP982xJuQ8q3FWV8KZEBAgs9rn6wy7hSVKfOe/6gYM7+zFftxwOgM6DILCuS3QMHvfwdH/VaoqfWMKzLDi/6L1gsuNB3F79Hxh7PW45u6baHR4LIw74A3UZ09oCbiMmsK2FVgzvwKNLc50BbeNl2e1PPJd0qwqcFp1yqzXhSgQBYE3IsWwlGzCdq3wads0vnN13B98F4Wtr5tE0PKw5B/HH7JXHIGoOb6MncK2FKgtslpzNPcsXJOdTT5uo6n4jua8DEFKJCcgHPNmg73oW97rxYKwblubXIZcW3LCzAAtXwTsYAUsJ5AaYHcFpp4YX5L0IFSP28XtV5rsUQUyB0BrbGh05Fl25FGq6/PnUqwpH0SYADaJyauRAEKdBQ4cz/5MpCx8bYFoQ5Nx8RhAYyuDnVcjY8pQAEKJCWgF5d07QFVOUTLypPKhytbX4A3IVm/jVhCClhOYKi6PurmUzfikbdKjGtBdx8VwAE7t1iunCwQBSiQWwLR6mroTie0SPvZFF1djKlXDMitirC02xVgALpdIq5AAQp0J1Dij+K8g9WdqkwUoAAFMiQQPPBgeBfMh+5wQItGobtc0D0ehPbdL0Nb6D0bbctmuD75n7FSeMpU6CUlvb+Br6YswAA0ZTq+kQIUoAAFKECBjAqogLPxpt+pMUAXwLF5MyKDBiG0/wEZ3URPmTnUjU6Fd99p9MDK1UW+F59H84WXIDpsWE9v4fI0BBiApoHHt1KAAhSgAAUokGEB1fsZPPTwDGe6nezUnfYSfErqePrf/8Df0Hz5VYAKjJkyK8CbkDLrydwoQAEKUIACFMgxAa2lGbrP36XUWlsAWqC1y3IuSF+AAWj6hsyBAhSgAAUoQIEcFtD9KviUid87JS0QUNegejst5dNMCDAAzYQi86AABShAAQpQIHcFVJAZOP57XcrfOvMHgLoJiinzAryoIfOmzJECFKAABShAgRwTCO82Fc1VVfD89w1jiOPQPt9BZOSoHKtF7hSXAWjutBVLSgEKUIACeSjw+UY36lucGFgaxrCKcB4KZK/K0WE7IHDaGdnbYB5viQFoHjc+q04BClCAAtYWuP/1Mnyyzgs1Fjta1XS3x0xpVP+arF1olo4CfRBgANoHJK5CASsLfPaNBys3elDoieLA8S1QI5gwUYACNhBYtMKPTcs24rpv/oCy8Fa0OAtxfeR6jBnowbjBQRvUkFXIZwEGoPnc+qx7zgs8814RXvm0CGrCEDhV4PnEu6W47YwN8Lm73s2Z85VlBSiQZwIrVgRw4+pfxmtdEG3BLV/8DP/88kYVgMYXm/bA9eH7cC9+Sx1cnGg78mhEh48wbVvMOP8E2FeSf23OGttEYHWtG/M/KUYkquZJhoaw+uvUdDy2mFPH2aSJWY08Fzjii8egflvGk0Pt6S49jF1XvxZfZtYDz/yX4X/sEbjWrIZr1RcouO8PcL33jlmbY755KMAANA8bnVW2h8A3dS543R2/noCIrkECUyYKUCD3BXYobETnL2mnCkB3LDf3GlCtqQleNRVmxySzA/meexZQMwYxUSATAp0/25nIk3lQgAJZECj1R1W/Z2KSvtBiX2JQmrgGn1GAArkioO05VaYkT0hOtSQ6YULCsow/aW3pdlYg41ofud6HiQIZEGAAmgFEZkGB/hCYMKwNIwa090Y41Ol3uQHp/IPr+qM43CYFKJBhgfDk3RDaZ18j12hBgQoKfWg9dabp12LqZeVq9p/EMykSCGvS++lOXJ7hKjO7PBLgTUh51Nisqv0ELj5yC15dWoAla30o8Udwwh6NKPB27jOxX71ZIwrki0DbcSeoIPQ70BoaEK2sgl5WZn7VVZDZevaPUXjH71UgqmYBkjGg1K/bpksuM/6aXwBuIR8EGIDmQyuzjrYWOHhCC+QfEwUoYE+BaPVAQP5lMUUHDUbT1b+C69Ol0FXwGd5FnfZXvbBMFMiUAAPQTEkyHwpQgAIUoICNBPSiIoSm7WWjGrEqVhLgNaBWag2WhQIUoAAFKEABCuSBAAPQPGhkVpECFKAABShAAQpYSYABqJVag2WhAAUoQAEKUIACeSDAADQPGplVpAAFKEABClCAAlYSYABqpdZgWShAAQpQgAIUoEAeCDAAzYNGZhUpQAEKUIACFKCAlQQYgFqpNVgWClCAAhSgAAUokAcCDEDzoJFZRQpQgAIUoAAFKGAlgZwbiN7lcsHpdJpqKNuQ5PV6Td1OKpk71IwUViuXlEmSR03ZpsmUbRZK8lkRL1231vSU4hQrm4W41DTP2+Z5ttpnLLbPm1kuaRMz85d2jtVDnGP7jVXa34rHFrGx8r4SjUat0nzxckg7ZuOzHN9gHx9YuR2lCvL9ZcX27CNvTq6WcwGofIjNPnDLNiTFviys1LKxndhKZYq1h/y1mlnMy2oBqLRfrGxWbEurtWPsS9XMcmWjPWLlj/21Uttno/6p1teKZZMyWfGYl419JZV2FC8rtqN4SYq5pVI3vic1gZwLQEOhEMLhcGq17eO7ZCfx+XxoabHe/NrSQ2O1csmXaXFxMQKBAILBYB+Vs7Oa9DSJl9UC0MLCQuNzbLW2lM+9fP5bW1uz00B93Ip8xuTMRLpepaWlPW5Rej/Szb/HzL99QT6PRWp6Q9lX5FhmpWTFY4v4iJcc881um2Tbwu/3Gz1mbW1tyb7V1PXlMyb7sNW8JMDLxD6caTz53MvxWPbJSCRiZB/5tmPbmcRFir0dWzJdZrvkl3MBqF3gWQ8KUIACFKAABawjIFdUPPJWKd5f7UMwrGHnIW34f4fUqd5R65TRTiUhq51ak3WhAAUoQAEKUCAlgd+/NACLVvoRCDkQ1TWsWO/Fg2/2fNYkpY3wTXEBBqBxCj6gAAUoQAEKUCAfBZrbNKyulZsw22+kDUc1fKB6QwOh9mX5aGNWnRmAmiXLfClAAQpQgAIUyAkBGSjF4+w6WkpEBaEWHOwgJ0y3V0gGoNsT4usUoAAFKEABCthaoMinY0Sl3BjYMQjV4XdHUeDtuMzWDFmtHAPQrHJzYxSgAAUoQAEKWFHgAnXDkVsNM+5xqaDTE8VOg4K48eRNViyqLcrEu+Bt0YysBAUoQAEKUIAC6Qh43Tru/MEGbG7cNtnNgOJtwzKlkyff27MAA9CebfgKBShAAQpQgAJ5JsDAMzsNzlPw2XHmVihAAQpQgAIUoAAFvhVgAMqPAgUoQAEKUIACFKBAVgUYgGaVmxujAAUoQAEKUIACFGAAys8ABShAAQpQgAIUoEBWBRiAZpWbG6MABShAAQpQgAIUYADKzwAFKEABClCAAhSgQFYFGIBmlZsbowAFKEABClCAAhTgOKD8DFCAAhSgAAUsKhBVs0D+d3kB6lscGFoRxtSRAYuWlMWiQHICDECT8+LaFKAABShAgawJXPVoNYIRDcHwthOW4wa34eIjtmRt+9wQBcwS4Cl4s2SZLwUoQAEKUCANgZc+LkRzmyMefEpWX25y44PVvjRy5VspYA0BBqDWaAeWggIUoAAFKJAgsLrWAx1awrJgxIGvt/DkZQIKn+SkAAPQnGw2FpoCFKAABewuMKAoDKdDXQTaITk0HaUF0Q5L+JACuSnAADQ3242lpgAFKEABmwvMmNqESFSDBJ2SXE4dPreO7+7cYvOas3r5IMB+/HxoZdaRAhSgAAVyTkCCzTlnrseT7xZjc5MLIyuDOHxic87VgwWmQHcCDEC7U+EyClCAAhSggAUEnOo85Sl7NVqgJCwCBTIrwFPwmfVkbhSgAAUoQAEKUIAC2xFgALodIL5MAQpQgAIUoAAFKJBZAZ6Cz6wnc6MABShAAQpkTECr2QT/vEeh1W9FtLQMrefMAnwcBzRjwMyo3wQYgPYbPTdMgdwW+OwbDx5/p8QYKHunQW340XfroSUOWZjbFWTpKdDfAs3NKPr979RYoDBGA9UaG1H02xvRdOUvGYT2d9tw+2kL8BR82oTMgAL5J/BljRt3/7sC67e60dDqxEdf+XD7yxX5B8EaU8BEAd8/n4kHn7IZTVehaDgMz5uLTNwqs6ZAdgQYgGbHmVuhgK0E5v6nHFG9vbszLLOz1LkhvaJMFKBAZgS0QGuneZBUvqEQ0BbIzAaYCwX6UYABaD/ic9MUyFWBaDcTsWiqr6Y1xENKrrYpy209gdDEydC1xH1KfvZFdh5vvcKyRBRIUiDxk53km7k6BSiQnwITdwjEZ2eJCbQEnRhdFYw95V8KUCBNgfAeeyK8665GLlG/H7rHg8D0GYiMGp1mznw7BfpfgDch9X8bsAQUyDmBU/duwAer/QhHALdLV381/OTQLZyjOudakgW2ukDgjDMRXPsV5AYkvbIK0epqqxeZ5aNAnwQYgPaJiStRgAIdBdxO4LYzNuJ/a71oC2sYMzCIsoJuzst3fBMfU4ACyQtEInCuWQ1HXR0ira0MQJMX5DssKsAA1KINw2JRIBcEJu7QlgvFZBkpkJsC6q73ouvUkEtqfDNNbj5SKbz4TbT+5KKs1EerrYV76f+gOxwIT90DemFhVrbLjeSHAAPQ/Ghn1pICFKAABXJMwLNgvrrjKLJt+KVvy+7csAGujz5AeMpUU2vjXP0lCu69B7pTne5QyffCc2i+9DJEBw4ydbvMPH8EGIDmT1uzphSwj0BLC5xfr4OuZoSJ7jDcPvViTSjQQcCx/puE4FNe0kJBODZt6rCWCQ+DbUbwaWxPBcCx5P/H39D8s8uBb4PS2HL+zY7Al19+iddeew2LFi1CUVERDj/8cBx99NHZ2bgJW+Fd8CagMksKZFNAhkRqbtMQDGdzq/23LYcKPAtv/S18jzyIgnvuQsFdtwPdjQvVf0XklimQEYHogMp4D2QsQ12djtfLy2NPTfmrNTRA9xd0yVtrbFA9snlyoOlS+/5d8Je//AU77rgjfve738HtduP999/HjBkz8NOf/rR/C5bG1tkDmgYe30qB/haoa3YYMxJtbnKqANSBE/esxyETWvq7WKZtX2tqROGcOxLyl14iz/yXETwyd3sCEirEJxT4ViB42BHwLnzduAZTUz+ydJfLuA4ztOdephrpBepaz24CTS2ohlnrNC6pqQVh5obAY489hlmzZuHhhx/GaaedFld5/vnnjSD0e9/7Hg466KD48lx54PyVStko7CZ1ymDhwoWq596J8k6/3pYvX44PPvgApaWlKCjo+qurY/la1Km3qMm9HR411prX60VTU1PHTVvisV+NBRcIWGsWDIe6QL1QXZzequ7QjHQ4XWMFMJ86RdvWZr0bZcRLrNIpW1tIwxWPDkJTwIFIdNvJjJUbvagqDmNIeWq9FC71BaepHpawmu6vL+mLTW6sVzMgFXqj8Jj4c1b2R/nV3/bee3B+vgJah/LJwNxyh3Bo/+9ut8jFxcU9riNtEfr2Ro8eV0rzBTn+yTEuG8exZItqxWOL1EH2Ffk8BiX4sVCSz6OubhIy9ZinPi/Bgw4xrgPVS0oQ2m13BGb+wLgpqScKOebJ50w+YyknqZvPD9fyZfEs5FrQ1h+eDX3gwPiyZB7IcUX2474c8yLqrM78JYV48/MC1DS4MLp62w1YyWyvr+vKMU8++83NzUZ79vV9ndfr7djSed1kn//oRz/CwQcfjGuuuSbhrTvttJPxXFwnTpxonJqXIPWbb77B7Nmzjc/BhAkTsHHjRlx//fW49dZbMX/+fGOfGjNmjPHexYsX469//avxOZb3/POf/4R8p++8884J2zLjiYlfGe3FlSj98ccfx/77748HHngAM2fOxDHHHGOscPvtt2Pp0qUYO3Ys7rnnHsyZMwfDh/OarnY9PqJA9wJLv/bC544i0GH2IRmP89VPC7HHaHN/pMiU1Hf/uxyraz1qqkAdMgj9VcfWYPiAvgWu3ddo+0t19cUodwR3SY5ulnVZiQsokIMCEoT2Q+9+aJ/vqBuOBsK9aKG65tOF4H77Izp8hOmAUXVsufiBQXCq39QhdTzTNB3//qQQ/3fqJjX5hembt9wGpMPp448/xqWXXtpt2a677rr48hUrVkBiqhL1Y2WfffYxOoXq1I/zqVOnoqysDBdccAHeeustHHvssbjzzjuN5ytXrjQC0/vuuw8/+9nPsEHd5CYx2p///Gecfvrp8bzNeGB6ACq/ECXiluh75MiRmDx5shFkSgC6evVqo1f0iSeeMCLuRx99FA899JARuZtRWeZJATsJyIG6u+OxHLTNTve/XgbpbZWAN5Zuf2kAfn3SJhT5VMFMSjIFoV5SCr0tCC267eYI6ZkJnNx+WsqkTTNbCuSdQGT0jpB/2Uz/Uj2fkmLHMV3XjLGGF35WgAPGp9Grm81KZHBb//vf/4wzM9JJ15ckZ5tfeuklI+iU9a+44go0qkkM5AYmObt74YUXYujQobjqqqtw1llnGVk2qGt+H3nkkfgNTdKDftFFF+V+ACrd7nfddZdRSTm9JXdvSSAqadWqVZg0aZIRfMpzidJfeOEFeRhPEp0vW9Z+GkDWkVMyZibpkpckpzKslqRr3GrlkjJJkg937LFV3GRHEi/5IWSlJPtFrGyplmu30Rr+vrA9AJR8PGpWoiOnBFP+jEgbStqe14oNicGnvMflBNZsKcLuozN/uix2aYBPnb6OXn4VtDtuhTqvBHU+G5ETT4F7lwlQfaNpJWkTs/ctaXNJ4hx7nFahM/hmKx5bpHqZ2FcyyBTPKnYKXspnpSSfKyu2pZSpL8e8miYvoiro7Jjk+vbNLeqMj0+dm89wknaUJKexzb68L5WiDxkyxHib9Ez2JUk9pkyZEl9VLm889NBDjWNObKH0gN5yyy2Qyx8lyXsOPPBA47H8T+6uv/nmm7F27VrssMMO8eWZfmB6D2iswBJhn3HGGUaX8J/+9Cdj8fr1643rPmPrSLfx5s2bY0+NvwsWLMAdd7TfdPDUU09h2LBhCeuY9aTztapmbSfZfGNBQrLvM3t9M6+BSafssnNZMfXlYNxbueU+2DmzgP93L+BXcaNcN3X8Xhqm7y0/0NL7kba9H3l+RdrY6Sx/S5sDlRVF6hrv3kqd3mvxffLG36aXUTfvliBXjkHZSNnaTrJ1seqxRa7Rk39MfReI7yt9f0tW1tze8XjsUOCDL5EwqofE+GOH+tSxxbxOIbkHxYpJeisHqksh5FJFCRw7J7msUeKmSy65xHhJTrV37Aiqr6/H+PHjE94m+UmKXb9cVVWVcP9NRUWF8brZ98FkLQCVA65c3PrGG2/gvPPOw7PPPmv8GooBSG3lQvPOB5lzzjnHCFwNDfU/udGlr78EYu9J9q/cJCDBlFy4a7UkH66tW7daqlgSSMkHeMuWLZa7UUA+d3L6YXs9etkGraysNC7Gl7Klk6SfYM6ZQF2LE351Paic/u7jD+VuNys9gNKjI/tZb6ktWKVelp7v9p4KXV0LGmjaoraf+R5QGfNOjg01NTW9FWu7rw0aNKjHdeQMjdnHFglype3lC8PsG556rGgPL1jx2CJFlWOLfB7N/jLsgaXHxfJ5lB6zvtxU02MmJrwgxzzp1evcmWPCppLKUoIi2Y+lM6q3tNcI4PFF1ep6T83oCXU7oyjxRzFpcG1ax7aetikBsQTrcuo6nR7Q3o4tPW27r8uPOOII3HvvvTj33HON40fsfbVqpio5pX7YYYfFA9DYa7G/crPRyy+/HHtq/JXncizadddd8emnn2LdunWQs82x0/zS8SedEOPGjUt4X6afmB6Ayp2L0gW89957G19sBxxwgHGzkUTzcmBZsmRJvE4SwAwePDj+XB7IL/KOv8plZ+/rHboJGaXwxGpBS6wKVitXrDzyN/Y4VlYr/LVqucQmE15ysX5l0babf9K90iBWntjf3tuvPfiU9fweHXXNGkZUmne5Q9/K1Xupe3vV7Pxj25btZGtbsW325a8VyxQrt9XKFmtDq5XLyl5Stu15yY1Gv5+5Ef/5VN0B3+jC4LIw9h/Xot4Xq1lm/3YsT8fHmd1KernJzdl77bWXMeTSL37xC0ybNg2vv/66cT+N5Cz32PSUzj//fOP0upxyl8cffvgh5IYjGUO0Y2/0DTfcgN///vfGtaIy5uhZ6vrQjj2pPeWfznLTA1D5JSaRu1RE0OSaA/llNmLECKPycieWXGcggedzzz1nrJNOhfheCuSbgLa5Fs41q42BoyPjd8lK9YdVhDDh0zdxxqaH4I+qsxLuQbh25G8wqNTcu+BjlftgtQ8ff+U1hn+aMbVJjQZg0rdTbIP8SwEKZE1ATrkfbOPxjJOFlF5tiY8k0JQ72aXHUpLc6S69lTLUUk9JOv0koLzsssuMYZyk5/O4444zlsXeI5cfSOeejEAksdpJJ52UcOljbL1M/zU9AJXTeXJtggShc+fONYJOQZTeT0kyuKp0K8s1BxKUyu3/TBSgQN8EXEs+gm/eo8YA1TJItIwV2Hz5bNOnyptVvQjFr/4Dbn1bwDk4uB63b7oazpKLVMG33ZTWtxokv9YD/y3B21+om5HUjQoONUTLa8uKcNPJG1FWmPkbFJIvHd9BAQrktIAa9silxhqWFN5JjYX57Y2Z/V0nOZUu13tKkk47CRolMO2YZLxQ+dc5nX322cZyCVzlUoHYjVex9SQonTdvntE5KJcgdr4UMrZepv+aHoBKgeWOLAlA5RoeuQakY5o+fTrk+gaJvju/1nE9PqYABRIFNHU9pP/hB42F8YHZ1fVVnpdfRPCYrherJ747vWdlL6ih074NPiUnFyIoaduMwOcrEdnJvOuGVte68dbn7TdYSRAq45A+sKgUPz28Lr1K8d0UoEBeC2jq/orC3/922w96dc5fU8Fo01VXQ1f3XlgppXJnunQGbu99AwYMyGo1ze2q6FSVngJMicZ7eq1TFnxKAQp8K+BavQp6pzv8Zbo+96efmG/UzRlvddYMmskzCW1RU476PYk9neprApvUbClMFKAABVIWUDPTFd38G+MY5lA3vUnwKYc5//1q1B6TZ19MucwZeKPceBo7I52B7JLKIqsBaFIl48oUoECvArqMUysXS3VKute8oUpimwpN2Q16p21r6qAdHr1jbBVT/laqaUZlAP6OSWZKKSvYNih9x+V8TAEKUKCvAlqTGi2l0+l2Obo6ttZBU9N02jWdfPLJCWOtZ7OeDECzqc1tUSCDAuEJExEtr4DMBBRL0hvYeoYal8nkFDzqGEQHDzF6CKJ+dT1mUTGaf3aF6i4wd6xGmepzv53aZ0NxOnS4nTr+36E8/W5ykzN7CthaQPeowY276ek0rq3vFJjaGiKLleN5qyxic1MUyKiAulux5aeXwPfIg3B+tQZ6YRECJ5wIPRvX8ci2L7oUjq+/htYWQGSomhyi0+UAGa1rh8xO3LMRYwYG8b+1PuMu+MMnNhlDQHVYhQ8pQAEKJCegfjwHDzwYntf/k3ApUduhh2ft2JZcgXN/bQagud+GrEE+C6hAMJCFHs+eiKNqlo7+SJOHt0H+MVGAAhTIlEBQBZtRNSi9Z+Eb6ty7A8F990N49z0zlT3z6STAALQTCJ9SINcE3G+/BeeyT6Gr0+Btx85Qv9bNvwY014xYXgpQgAJ9EZCAk0FnX6TSX4cBaPqGzIEC/Sbgn/tHYxB6Td3Bqatf7J733kHT7GugW3Re436D4oYpQAEK5KCA2bMzyfBM/ZUYgPaXPLdLgTQFnCtXwLXqi3guMgST3Jnue+pxtP7o3PhyPqAABSiQawIy21ldsxNVauSLSXl+uY2Mk57p5FQ3r3YekD7T29hefgxAtyfE1ylgUQGtvt4YB1TrcHDSZPDkuuzcEe5cvgy+Z58BAq2IDh+B1jN/ZFw3ZVEuFosCFMgRgd8+NwAb6l0IqyF/I1EHxg8J5PVEEwE1Jmmmk0fd2d/fASiHYcp0qzI/CmRJIFpdDaiAs2OS0/DG8o4LTXjsVD2v/r//FY4tm+FoaYH0xhbce48JW2KWFKBAPgm8vqwAazZ70BZ2GMGn1H3lRi/eXcVr2+32OWAAarcWZX3yRkB6HYN77WPUV8JQXc0opqsxOQOnf990A9+jD0NO+ceSXIPqqNlkBKKxZab9VQPe+/90L4p+eSWKr7oMrg/eM21TzJgCFMiuwMqNni4bDEc0fLGp6/IuK3JBTgnwFHxONRcLS4FEAZnzPTJmDJyffw4UFiL4nX2BDgPTJ66dwWcq4OwuyZigpiYV9BZfr26yUte6yuUGknxPPoGAy43wpMmmbpqZU4AC5gtUFEbgUhNMhKPtN8fIhBOl/u6POeaXiFswS4A9oGbJMl8KZEkgMm48JBCVQZQhs3lkIYV3nWjcdd9xUzIVZ2Tk6I6LMv7YufwzY7q8WPApG9AiYXgWzM/4tpghBSiQfYGjpzQZwadDTbErSYLPiApGj5ho3+kws69sjS2yB9Qa7cBSUCCnBNpmHA/Xp0uBFvWlINPUqZ7JlnNmqbFIi0ythxYOGVOPtveNbNtcxxuxTC0AM6cABUwV8Ll13PWD9Zj3dgk2NrgwrDyEGVObZFx4JpsJMAC1WYOyOhTIioA6zd/8y2vVqf+VairONkRGjDQ9+JR6hXccC184nFBFXZ1+D02ekrCMTyhAgfQF5DLvb7a64FC/+IaUJ+536efecw4uJzBz6kZozS3quFIIuHkDUs9a5r3yr3/9C2vWrEnYgMvlwtlnn52wLNUnvQagtbW1CHc62He3IZ/Ph7Kysu5e4jIKUMDGApExY7Nbu4ICNKs56It+/ztE1dzNcvNTaOJkBI+ent1ycGsUsLlAS5uG214agPpWB0LqJqCoOg1+y+kb4VU9lGYn18cfwff0E+oyH6caZaMZLWedg8jO483ebE7nr73ybzjefw+6uhcgKjeiVlSkXZ85c+agoaEBEyZMiOclwzdlKvUagB544IFYulSdZttOOvnkkzFv3rztrMWXKUABCqQvoFdVo/GGm+DYuAG6zw+9qir9TJkDBSiQIHDZI4PUcwk2t13woqnHf3qtDBceZu44w4516+B/5EGjLLFLbQr+9hc0X/JzRAcNTigjn2wTcMy5A5oaGi82MolL3agZvvQyYOSotIlmzpyJ888/P+18usug16sqnnzySXz00UfGv9mzZ2OnnXbC008/jVWrVuHNN9/EddddhyFDhuDiiy/uLm8uowAF7CwQDMK96L/wvLoA8qWR1aR+hUd3GM7gM6vo3Fh/CETUafBXlxbgiXeK8fbn/qwUoabBCa9LhlmLhYASimpYsd6LoMln4t2L3+xSRxn1wvXhB12Wc4ES+HIVHHIplFwvoVKsxZwPbwvijYUW/V+vPaDjxo0zii1zkR566KF44IEHcOSRRxrLRo0ahX322QcRdQrs9ttvx777quFfmChAgfwQCIVQeMv/Gdd/IhyBd/7LaD3xFIT3nJYf9WctKZAFARlp7OcPDzQ6IoORbf1FbywvwOXHbDZ1625n96fZZWikWIBjWgHU9eXt/a7fbkUFoLwLqXtxrakRuro0SVMTgiQktTwT6aabbsLcuXPjWcnzWBwYX5jig14D0FierWp4lXo17d/YsV2v9xo4cCAWLVoUW5V/KUCBPBDw//k+dYNAc/xXt1TZ99wzaB49GvqAyjwQYBUpYL7Aix8XGddf6np72Pd1ncuYFWjP0eaNuVtWGMXEHQIo+egtHLTlFUQ1B56pPhH+yePg7lPUkLpNaO994H7vHTUHZ/u4n9K7J8uZugrow4aruzPbrWQNmRFPLlXKRDrzzDMhl1nG0ogRI2IP0/7b6yn4WO4FKrqW3s7LL7/cCERluQSlL730Em6++WYcc8wxsVX5lwIUyAMBx+bNCcGnVFlXPRfO9d/kQe1ZRQpkR2DtZpeabbc9+JStBtUUlRvVPOlmp/Mb/oEfrb8fI9vWYHTgS1y87g78yPGS2ZtFdPAQtJ57nrEd3etFVN3g3HzhJdBLeaNzt/jl5Yj+4MxtXjIbnleNGFBSiuhPLup29WQXDhs2DJMnT47/y+QN533+FN9///04/vjjUa3mnx46dCjWr1+PQCCAH//4x7joosxUNFkYrk8BCgCupZ+o4ZBWqNMwaiakgw5RC/q8W6fMp5eUAJ1O8TjUj9JosVrORAEKZESgqrjrrEAyQHu5mi3IzKQ1NsK7aGHCJpzRMBwvPY/QHnuqYZHcCa9l+klk1Gi0nnAiHPVbEa2sQlQFQUw9C+iTpiA8+2pon30GqKBd31O1kRqezuqpz99UO+64I9555x3j35IlS1CivoD2VJXcZZddrF5Hlo8CthXwPjEP7g/fN4Yjkh5IrxqKo/HaGwB11sLMFDj5VBTeeVv8Wi055SNDMkVHjDRzs8ybApYR2FSvTnOqixVLTJx8bPpuTXjl0yI1DqeOqOoJlWszC7xR7LtTq7kOqnNJRpjQAp22I6fF9W03u5hZgMJbbobW2KC6e4PGNafht95Ea4Z69LZXbrnJ6vNv56PfaVAQMiZpTiQ1QoCu/uVS6nMAKpXyq3H3DjjgAONfLlWSZaWAHQUca1bDI9dKfZtkTEwJBH3PPoWAjANnYpLTZE1qIHrvU0+oi99bjXnYQ/vuZ+IWmTUFrCEQCGm4618VqGl0IRRWQaGrGDedvMmUayNlzM05Z67Hcx8UobbJhRGVIRwyodl0CF2d1tW9noQA1LgxSAJQd+bGgeyuIu7/LoS2uTbhZifnhvVwvf8uwrurnj0TU6Ma8/TXz1QaP6xl3NPWkAM3n7oRJX7zg24Tq5Vy1s8//3zK7+3LG3sNQGUIppbOd1Z1k2tlZaUxRFM3L3ERBShgkoBDTRQh10h1nIZSLtZ3bNhg0hYTs9XV6fbAD89OXJitZ+oGKOfX61QvjQ/R4Zm7KD5bxed2clfgZw8ljo8ZUnen//m1clxwqDnjYzrVnRrH79GUXTB1GU+Lug7TmPBBHWOgbkKSrkAZixNyR7qJybl2TULwKZvS1Kgbsr+bGYDKKEZXPqZGHIif15Etqx8A8yswe0atMRuULGHKnECvAej3v/99DkSfOWvmRIGMCugy+5h0S3RIMl4Sc80oAABAAElEQVSeXlzcYYn9HjrWfgX//X82Kqa1tqjBqQeh5aKfcZgW+zW15WpU1+xQp8HVHdnfDokkBZTxMT9b7zHGx/T0+o2aWnVkjF3fYw/B0aCG21E/uFouvDgr+7gx4cN1v4ZrubquUM3FGR63s7q+UN3gYnKKlldAVwGw1mEWRjmzEy0rN3XLMuOTR419Kjd5tSdN9XSrwDvgQHGe9oK2W2T+Ua+7y1tvvaWm39p+17Pb5AuSM19t5kiB3BeI7DgG4Z3UsCifLDEqI9PWyRdF6w/Oyv3K9VADuTmi8J67El51bNoEz8svcjrOBBU+MUNA5kSXf52TBKTdLO68WtLPNTX8YeHdd7S/ry1gjL/bdNXVpl/nbWxUXXYXnrJb+/az8Ch48CHwvvaqcTmRnNGRYFTNCY7Q/geYunWPS+8y4oBsUAJSt3qNKfMCHUP9LrkXq56U0tLS+D+ZA1SGXrrzzjvRrE6BrVy5ErKODNPERAEKZF8g8P0z0XrSqQjtOgmhvfZG8+xrjLsgs1+S7GzRuepzRFUvUMckX1JuNXc0EwXMFigtiGKXoW1wOdoDEnk8eXirOdeAvvh8wkkOI8hVn3fP22+ZXdX+y9/jReONv0XwO/shNH4XBL97IJp+c7Ppp/4LvToO3qXJ6OHuWPlDJzTBp67FZcq8QK89oB03t2zZMhx11FHYoK4vk17RY489Ftdcc40xLuhTTz2FQeo0GBMFKJB9gbAaFkX+5UPS1ZeT+ibqWlV1io6JAtkQOOeArbjt5QFYU+s27krfe0wLTpqWmVlnupRf9Xh2+bTLjUDq7nBbJzWiR3D6jKxX8bjdm1CkRhl4fXmh0dN90C7NOGDnTjMMZb1U9t1gnwPQc845xxiM/r777sNuu23rkv/b3/6GE088EY888gguvfRS+yqxZhSggCUEIuo6NLn2Va9Rw7PIF7FKculB4NTTLVE+FsL+AvJb57KjNxujwkhnTFtbm2mVDk/dHa7PliUEoZoa+ym8ywTTtpnvGR+yawvkn5WSnIk2I8k065rJN5X1Vu4+BaByJ7yMAfr3v//dGP8zlqFMw3nxxRcb84QyAI2p8C8FKGCagPr2b/npJSi49x44Nm00xioMHHcCIiNHmbZJZkyB/hIIqwHGg1+tgVcNTRRVE03I5SaBE76H6A7D+6tItt+ue+Hr8Cx+05gKNLjv/qZfe9oX0KAJPd4OdSzt7/t3+hSAutRFwFJYue6zc1q6dKnxWuflfE4BClDAFAF1eq4lS4NSm1J+ZkqBJASC049T13d/R90FX2/MCqSb1BuWRJFsu6r36ScTrq/1zn8ZmprhLXj4kf1aZ5n6PNNJ7unp7wC0TxdOSUEPP/xw4zT7u+++azhIr+jDDz+MP/7xjzjyyP5tnEw3DPOjAAUoQAEKWEVAr6qCjHrB4NPEFmlpTgg+ZUsy/qjnjdegrrMwccP5m3WfekCFZ+7cuTjhhBMwbdo045qBgw46CCHVOKeddhrngs/fzw9rTgEKUIACFMh5AS0YgtzkqAU7B5uaWhY0Jv3I+UparAJ9DkCHDBmCxYsXY+HChfhMTXgvvaJTpkwx/lmsTiwOBShAAQpQgAIU6LOAXlKCaHkZHBs3xm/6ksGXtLAKTAsL+5wPV+y7QK+n4N9+++34TEivv/46Xn31VaPXc8cdd8QOO+yAzZs345VXXsEnn3zS9y1yTQpQgAIUoAAFKGAlAXWfS+u55xvBZ9TnVzd9FagZp0rQeO0NavaBXkMlK9Uip8rSaw+oDL00adIk41rP4447zhjzs7vanXzyyZg3b153L3EZBShAAQpQgAIUsLyATGPcqAa9d365yihrZNRoQGZiYjJFoFfZDz/8MD5G1CY13V1PSe6QZ6IABfpJQI2HqTU3GdcvodMsQf1UIm6WAhSgQG4KqIAzMnan3Cx7hkv99NNPGx2PZ511VkLOX3zxhXH2+/jjj0d1dXXCa8k8UWPaqpFIe0jPPPMMpOezPwcq7Vw0GQrKqYZhMTNJ/jL0lJkDDKdafhk2QW7+slKSz4fX61WTcwSNWbKsVDYreomPXEMtg1iH1RzH6SS9tgaRO28D6hvUnZpq1pQZx8N5zLEpZxn7MSlls1KS/VH2y3T3SV8vAXpTU5Ox35tZ79i+IvXo5dBrZhF6zNuq+4ocWyLqR1a6+0qPFU/xBfk8ShtacV+R/diMsSNTpIq/TfZjq7WjWMnxOBAIxMuZyoPeji2p5Bd7j3zG6uvrY097/PvwN0/hhU0LUOIqxq/GXo6B3soe15UXpM7bm0Z9zz33xPvvv4+PP/4YEydOjOf3k5/8BH/4wx/w1ltvYe+9944vT/ZBrz2gV199NebMmQOZ8Uiu+bRCkuGfzP4AF6oLjmWO+7q6OitUOaEM5eXlliuXHIjlV1BjY6PlDnoyg0RDQ0NWvuydq7+E+nWAiOwr6hqi3lKVGlZFghApW8pJBZzF112d8Hb9n8+gUW1bZlBJJclBVIIkM8adS6U8sffI/uj3+9P+7A8ePDiWZZe/EuTIZ9jMJEGeBFSyHav9kLTisUXaQo4tEhyY3TbJtrt8Hs2eCSnZMsn6csyTz5nVvr8k0JP9uC/BVCr1TvU9sj9WVFQYx2I5BqSaeju2pJpnX993wSdX4o0tbyGCbR0H/3l7EZ6aej92KUq/J3evvfYyLrGMBaBitGDBAgwfnv5kCL2eO3/wwQexZcsWI/KVx0wUoEA3Aqq30D/3j/D/7X74Hn4Axb+6BlpNTTcrZnaRa/lyRL2+Lpl63vxvl2VmLXB+8Tmcyz5VlwB0naTCrG0yXwpQgAIU2CawpOFT/GfLonjwGXO58rPfxB6m9ffUU0/F448/Hs9Dbjzfb7/9jB/S8YUpPug1AJVhlmTg+csuuwxyQ5LcbCR3vjNRgALtAv6/zIVzzWpogVY4vp2xouDeuwH13Nykrp7pbh7fnq+qyVxxjKD7Xvge+Dv88x5B0a+vg+OrrzKXP3OiAAUoQIHtCtSEtqBUnXbvnGpDmYnVdtllF+N0/ZIlS4xNPProo8b47523l8rzXk/BS4ZyzYacij/ppJNw/vnnG72h8leWx9L48eONQepjz/mXAvkk4Fy7FlrnUzcqCJTlZl7MHt5pHHxqjLqOSVen3oIHHNRxkSmPfQ89AOdXKujucA1rwZ/vQ/MVs6EXFZmyTWZKgXwUaApoePydEmxucmFEZRAn7tkIh5aPEqxzdwLjCndEWE+8l8AJJ4Z4B3W3ekrLTjnlFKMXdOedd8abb76JP/3pTynl0/lN7VFk51c6PR85ciQOOOAAvPHGG7jrrrsSbgSaMWMGA9BOXnyaPwJRvw/OzrNnBNRsGioYNDWpaz2bL7sKRTf/Rt0B74G6IA1tBx+G8KTJpm5WMpdhSjoGn8YGnQ7IdbDhXdsvVje9INwABWwsEFRxxRWPDlIBp7rZSdewusaN1z4txF1nboDa3ZgogGG+wbh2zM9x5fLfwK251D83/E4f/jF5TsZ05DT8sccea8yEedhhhyXEf+lspE8BqAxA/+Mf/xi1tbXGlJznnntuOtvkeylgK4F5lafipIb74f72V2gEDjRrBWio3hGl314UblaF9bIyNN74W2hqHmPdrYLQXu7yzmgZ1A0YUNtMSOoGLCMQTljIJxSgQKoCT6iez1jwKXlIEOpxRfH6sgIcPKEl1Wz5PpsJHDfwSIwpGIWFdW+jwOnHSYOmG38zVc2xY8cad8zfcMMNuPPOOzOVrfqm7CXJ3WqzZs3CIYccgjFjxhgzHjH47AWML+WlwKsF++PewRegxeE3/i0q2Rezx9+FdVtM7gGNactwMGrGjqwFn2q7gWOPg662G0u6jAWsLsuJqMsCmChAgcwI1DU7jaCzY27BsIaG1vZ9r+NrfJy/AhOKx+H84WfizKEnZzT4jIlKL2iNurl2n332iS1K+2+vPaBHHXWUEXTOnTvX6AFNe2vMgAI2FCjyRfFOyd7Gv3j11KmzYrXcrimy83i0/uhc+B55EGqMK0TGT0DghBPtWl3WiwL9IjBucBDL13sRjna86FPDqOpgv5SHG80vAbkJPZauvPJKyL9YWrFiRexhyn97DUCnTZsGueMpE+M9pVxCvpECFhf4/r71uPPlCujGLMJyY7qO8YPbMLwy8QYhi1cj6eJFxoxF8zXXJ/0+voECFOibwCETmvHfFQWoaVC3lTh04+ajySMCmDxcXWPORIEcF+g1AL3jjjtyvHosPgXMF9hpUBDXn1iDBxaVIhDUMG3HVhzC67PMh+cWKGBzARll7Vffq8F7q3zqtLsDg8rC2GUoez9t3ux5U71eA9C8UWBFKZCmQGVxBJceuSXNXPh2ClCAAl0F9hid3jSRXXPkEgr0vwAD0P5vA5aAAhRIQiCiLq195v1ifLzGB69bx7kH1mFgaepT6CWxaa5KAQpQgAIZEuj1LvgMbYPZUIACFMiYwLVPVuM/aizEWjUw99d1btzwdBW+3JSlEQcyVgtmRAEKUCC/BdgDmt/tz9pTIKcElq7zoq5Zfje33xUsN3/J9bfXnlCbU3VhYSlAAQr0RaC0tLQvqyW9jq5GMNG6m8456ZxSewMD0NTc+C4KUKAfBNZukUNWe/AZK0JtIw9lMQv+pQAF7CUQDGb+xjOnGse545Tq/SHGo3Z/qHObFKBASgJ+dc2nGnhU/UsMQmW2GCYKZEvA/fZiON95Sw2LpCGspr+N7DIhW5vmdvJQoLW1NeO19qjpmxmAZpyVGVKAAnYVGKHGVnWp8RATB+bWMahUjfzPRIEsCHie/ye8/33D2JL8DPI//ADajpqO0L77ZWHr3ITZAp9948EbywuM37lHTGqGHHOYzBHgTUjmuDLXPBQIqxux5R+TeQIjq0LYZ2x7b4CmekNd6ih24eEcAss8deYcE9CamuLBZ3xZOAzvyy8AJpwmjW2Df7Mj8OYKP+6aPwAfrfHjo6/8+O3zlXjnC192Np6HW+Ep+DxsdFY58wLzlxTixSVFKgDV4PfouPHkjfBw78o8tMrx9H0aMHZgEB+v9aHIG8VRk5tQ5OMpeFOwmWmiQKAVEa8fzrb2H0GygtzMgSh/fSZi5dazVjWJyINvlnUp9CNvlWKKmn2Kx/MuNGkv4Fdk2oTMIN8FXl1agBc+LkIosu2EQou6XvzWFytx1fRaOHiOwZSPhwzMzcG5TaFlpr0IBIvK0RopRBXaA1A1LC0cqhc06vKCu3sveBZ/KRBSnQfuKFpDia0oN4kH1DKPS1qaKZMCidKZzJl5USBPBF78uDgefEqVdV0zhgpaVcOxKfPkI8Bq5olAXdCLO0ZfZdS2xeFHk6MADc5SXDLubrRFnaYpNIabsTbwjQp+OSOSWchyNsVj3OSYuAUJPv0eBp+JKpl5xh7QzDgylzwWcKqbYga3fYOTaubBH23FopL98GH1vohEE+/UzmMiVp0CthCQy2vWuwdi1tg/YWLzEnUFsgP/K5yIgKZOyzvWm1LHZ2v+hVu++gNcmhP1kUb8ZefbMLV4oinb6pKpuq7VuWa16uJ1IDJqtPG3yzo2WeBW0dAFh2zBzc9VGTc6SrXkZsdfzKiB27zfFpbX++yzz7BgwQI0qeufd9ttNxxxxBEZKzMD0IxRMqN8FTis+kvM+Oh6NTBQ1DgFN7HlE/yrbRVGVx2erySsNwVsKVDsi+KISU3415JivOPc26ijjMpwxt5bTblGcEnTp/jV6lsTLM/57Gd4ZuJfMcI3LGF5pp9ojY0ouOs2IBKBpua/1doCaLz2BqBA3SFu0zR8QBh3jXwCrjffhCMSQtv+B8Jd8Z2cqO2i5W68/bkHBepH0sz9WlHiT/+6+Oeffx7nnXcejjrqKFRWVuJnP/sZpkyZgoceeigjJgxAM8LITPJZ4LhFv1OBZ+IpmsOaX0dr7UREBw3OZxrWnQK2Ezh6cjOGlIXx6rISONX4swfv0oiJO7SZUs+HNj7VJV8nnFiw5Q2cM2Rml9cytkAFnUU3Xp+QnYQz/n/cj9bzL0xYbqcn3n8+jeI3F8WrVPDKcwiGGxE8NHO9fvHMM/jgvgUFKvh0G5d/ycggEoj+5tQGDK1I/F5KdpN33303rrvuOsyaNct462WXXYaRI0fi888/x5gxY5LNrsv6vAa0CwkXUCA5AS3azU7uckJraEguI65NAQrkhMCUEW345QlNuGKGecGnQLjRtY9IU+daHMa5FvOotLot0L3ehA3IBUXOdevsO9xUSws8HYJPqbwWCsHz2n8A1ftr1bSmxonFKz1G8ClllKmJ5f9/eiX9nuoRI0bgySefxNKlS43qSy9ofX19RoJPyZABqMHK/1EgdYHIkKFqd09MDnUwi1ZXJy7kMwpQgAJJCJw28HgVTkhA0Z7CCGNGlck9ch4VfHbzw1pTd/urycPbC2OjR1ooCF3q3Tmp+kogatW0pVlDobqBKjFtuxE2cVnyz2677TZIELrvvvti6NChOOuss7BixYrkM+rhHQxAe4DhYgr0VSBw2hnbfnO6XNC/PTi3fu9k6GXlfc2C61GAAhToIvCVurlR7/LzFsYd8V1WzuACvaQEoal7IOJqH8kj6nSh7eBDVbds+7IMbrLfs9KLSxAtK0vQlo4FCT71gsJ+L19PBRhaHu1yw6umLg0pK+wclPaUQ8/LCwsLMXfuXGzatMm47lOe77PPPvjkk096flMSrzAATQKLq1KgOwG9uBiNv/4/tB1+JIKHHIbmCy9GeNpe3a3KZRSgAAX6LPDy5le7rCs9ov+tf7vL8kwveGHsD/Cv4kNR7yzBJncVHqg8A2/vdHymN2Od/NSd/q3nnretM8HnQ9RfAL2wCI3XXG/pu/+rS6M4ee9t49LK9Z9up67GM9Vx5YymtGwDgQAOO0x9nzU3Q+aNP/DAA3HPPffghBNOwAsvqJm/MpC6XmCSgUyZBQXyTkD1CoS+e2DeVZsVpgAFzBModBaogEjCivaLfFyaC341BqmZqSmg4an3SoGB38cj6l8s+d+MYtdhAciQRXZM0vMrnQnOL1cZ1TOGnsqBHt+Ddw1ih8oIlqxxw6eCz4MmtKGgm6sJkmkznwrCg2oYrp///OeQU/EFavSDdeoa4Lfeegunn356Mln1uK5NP0Y91pcvUIACFKAABXJC4P8NPQsL6t5AWN82zadDBaMhPYSZA08wtfwtQXVy1NmshmBKPPUcUNeARtREG+p+a1O336+Zq4AzstO4fi1CKhsfOygC+ZfJ9MQTT+CHP/whqtX9DCVyWYa6HOEXv/gFDj88M0MMMgDNZGsxLwpQgAIUsLeAGqLI+9QTcP7vYzhVQKbtOgmB088w5eacHXxD8PSuf8XZn12qAs8wxvpH4aYdZ8Pv9JlqHHLVIKjuUfYgMQDVox5ENRlyymPq9pm5NQSqqqrw4osvqqFgI6ipqcGgQYMyWjAGoBnlZGYUoAAFKGBngYK774Rj/TfGtYJST9enn8D7z2fQdpw5vZLDfIMxf8qjWSWNOFrx1ajLMebzv6oRjgPq5krp8dTxyY6nqJvg52S1LNxY/ws4nc6MB59SKwag/d+2LAEFKEABCuSAgNbYAMeG9fHgU4osQxO533sXbcccq75R7fGVOtQ7CEWlG/H+TodgQP3hKgCNYEvpfDg8jab3vubAx4BFzJAA74LPECSzoQAFKEABmwvI2Jjebu7uiKjxMXX7XBfpVPPOz935FgTdG9E08CkEBj6P4Wq0j1emPG7zBmb1silgj59r2RTjtihAAQpQIC8F9NIyBAYMgvfr1fFZXMJqakwUFdtufMxKdwXe2f1FfKzmo3epgHTXovHG37xseFbaFAH2gJrCykwpkD2BJV958djiErzwURHCmb0JMnuV4JYokAMCIbV/XVRwtRF8tjp8aHIUYkXBTrh2/C2I2qcDNN4Sbocbe5RMxpTiXRl8xlX4IFMC7AHNlCTzoUA/CDy0qASLvygwZsJwOXQVhBbj1tM3qDHgbPht2A++3CQFOgrUNaveTp8XP9j5IVQHN6rbcjTUeKrhbtLRFmqA38P9rqMXH2dGoKioKDMZdchFs8CUqgxAOzQIH1IglwRWbXJj0cr2YVLCUQ0OdbfqI4tLcc4BW3OpKiwrBXJCQALMiNrPJG3yDIyXORTR4FQ/AJkokGkBCRRdNrm5rbMNT8F3FuFzCuSIwKYGF3yuxPl+o2qQ6PV1/F2ZI03IYuaYQLEvikMmNMHjbN/v5MzDKXvVw8PdLsdak8XtbwHuMv3dAtw+BVIUKC+MdJmPRHpASwp4IWiKpHwbBbYrMGNqE8qL2jD/U6/q9YzimF3D2HN0cLvv4woUoECiQNZ6QOvq6rBgwQKsX78+sQTq2fLlyzF//nzU1tZ2eY0LKECB7gXGDQ5i/FCZlWRbcqrg06n26FkH8fR7zIR/KZBpga3hBvxf6ylYNOJIvDLscMzafAAaw02Z3gzzo4DtBbLSA/rss89C5hT97ne/a/zdeeedcckllxi4t99+O5YuXYqxY8finnvuwZw5czB8+HDbw7OCFMiEgASbb65sw9J1XhSp04PTd2uCz81r0TJhyzwo0Fkgqkdx0IcnJizW1I1IF628Bn8df3vCcj6hAAV6FzA9AJU5RB944AHccsstGDVqFM444wyccsopxgT39fX1WLhwoRGUOhwOPProo3jooYcwe/bs3kvNVylAgbjAd8a2Qv4xUYAC5gp83aZGmHD40RJt3990dSHMp80r0BJpRYHTb24BmDsFbCRgegAqc4j+/e9/R2Hhtrt1A4EAmpqajMntV61ahUmTJkGCT0lTp07FCy+8kMD79NNPG4FpbOFvfvMbjBgxIvbUlL+x8gwYMMCU/NPJVO6Gs2K5pE4lJSVqMhBr9b7J56+ioiIdclPeK+Xy+Xxwu92m5J9qprHPfkFBQapZmPI+8ZKymfnZl22Ymb/AxIY+KS0ttdy+YtVji7S73++Hx+Mx5bOVTKZRdcXLtnnRE98V1IOoGlAJn9OX+EI/PJPPsXzOzP4sp1K1bOxjyZYrtk+WlZUl+1aun6aA6QGolC8WfEbVNGZ33nknjjzySFRWVhrXg8qBOJYkgNm8eXPsqfG3WE3/NWzYsPgy+QBLr6qZKfaBNHs7qdQhG/VPtlwxL2lf+WelJF9eVmxH+bKXYN2KZZP2s1q55DMm/2Llir72KvQPP1Az0BTBcfr3oWVonLxY/mZ9hqUO8qNDtmPFH2tm1z8VV/GS44oVylbhKsMJg47GU+tfQECiUZV8Di/OGHYi3Oo/K5RRjnkd95VUzM16jxWPx1ImSfIZs9o+aVY7WCXfrASgUtm2tjbccMMNRgP/8pe/NOrfOZgKh8PGL92OOIceeijkXyzV1NRg61Zzb7KQgFkCX7O3E6tTMn/Ly8stVy5pR+nNk57tYNBad4PKD5yGhgbLHViqqqqMfULKZqUk7ShfXq2t7acYrVA+2R+lF0z2Sf9f5sL5xefQ5AtDFS76/nto+vkV0Kuqt1tUyaOnJMFDY2NjTy9nZLkEU7F9JRQKZSTPTGVixWOL1K26utrYV8xum746Xj7kAuihKF7c8ir8ajak06qPww8HnmKZ47Ic8+RzZrXvLwn0ZD+WS++slLxeL+SfHIvT+QHR27HFSvW1UlmyEoC2tLTgyiuvxNChQ3H55ZdDAhZJ8iW8ZMmSuMeWLVswePDg+HM+oAAFKNBRwLnqC7hWrogvkiHBJQj1PTEPrRdcGF/OBxQwU+CKET/Bz0derj58UTUTfMDMTTFvCthWICsB6HXXXYdx48bhwgsTvyD23HNP45T82rVrjcDzueeew7Rp02yLzYpRgALpCWiqhzLq88MRaO+hlSDUUW/uWZH0Ss1320kgFAbu+085Vm3yQuaGH1wWxpXTa40h0OxUT9aFAmYLmB6ALlu2DIsXLzb+zZs3L16fu+++27gBadasWTj33HONG0Xk5qKZM2fG1+EDClCAAh0FooMGQYuoCKBD0h1ORCurOizhQwqYJ/DLx6vR3OZQPe/bpuRct8WFf/y3FD/6rrVOLZsnwJwpkBkB0wPQ8ePHG0Mt9VTc6dOn44gjjjCu8SnK0I0EPW2LyylAgdwWiA4chLbDj4TvhefU3cgqAFDXuunq7ujWH56d2xVj6XNCoL7FgbZwe/C5rdAalnzlU72h9XBvu7osJ+rCQlKgvwVMD0D7UkG5YFr+MVGAAhTYnkBo/wMQHbYDnJ+vhK5umgrttY8RiG7vfXydApkQkLnfD9/0PA7a+ioc6hrQ5wbMwOsVB2cia+ZBgbwSsEQAmlfirCwFKJC2QGTUaMg/JgpkU6C0IIqZ39yEAzcvi2/2jE0PoMT9ler9PDK+jA8oQIHtCzAA3b4R16AABShAAQpga93ahOBTSLx6CNO/mY+WwHfh9llrAod0m0xmeHq+9t9wai6cPvB4DPEOTDdLvp8CcQEGoHEKPqAABShAAQr0LBBVM/k1uiMoDiVe7KnOyqsRmRJvjus5l9x45ZUtC3HZFzcYhVVD2+PBjU/gb+PvxOSiXXKjAiyl5QUcli8hC0gBClCAAhSwgEBF9Wg0+hO/NtWcVnDpGjz+YguUMDNFaAw3x4NPyXHblA/A7C9uRChqrQkUMlNj5tIfAol7Un+UgNukAAUoQAEK5IKAmkTFc74agF6letUTWueJYEuRhvprroOaQiwXatCnMtaFt6LUWdJl3YZwE0K6vXp6u1SSC7ImwFPwWaPmhihAAQpQINcFvBWD0Pjr/0Nw9Scq5nTAN3IC4LLXV2mFu0w1k8wxlpiaoy1waYmXHySuwWcU6LsAe0D7bsU1KUABClCAAsawX+UT9kLJzrvbLviU5i1yFuKakZfGW1pT14C6NTf+rq4B9Tg88eV8QIF0BOz1sy0dCb6XAhSgAAUosD2BSAS+xx6B87NlcIaCcIwdh9azzlbzwdqrP+eQiv3xqO9ePF3zour1dOF7VUdjtH/E9nT4OgX6LMAAtM9UXDGnBFpa4H/oH4iuWY3CcBiB7/8Q4V0n5lQVWFgKUMB6AoW3/f/2zgNOqur647+p2/uy9CJV6SIgNhQbFoxibzG2WJK/LcYeYzR2jYrGXmKiRGILBjuiKNgVpIg0F6S3ZXuZ+v73vGV2Z7ZPfzPzu3yWeeWWc773lfNuOfcBmHaXwaQ1dlFbStci7b9vwHHKacYTNkyJhmUOwo39rwgzFyYngbYJJNcnW9s68miqEVAtFDl3/BmW0p8BZXzK1ID0V16GZVWz8+hUQ0J9SYAEwidgqq6GqaK8yfiUHE3qGWNbshhQzx0GEiCBrhOgAdp1VoyZIASsPy7T1wf3tVCI2Cb1ckh7/70E0YBikgAJGJKAWnpTrRvdWjRlhMKrzjGQAAl0mQAN0C6jYsSEIaBeBpqandoqqPFa0Qr1ThM+Wp6Fd3/IxoYyjmyJFmfmSwLxJKDl5sHTo0fA/HBNjf30Fha1bZjGU1iWTQIGJ9DGW9rgElM8EuiEgEdNCjC5A50la8pNinvsuE5Shna6zmHCra+X4O3F2Xh3STbundMN35amh5YZU5EACRiaQP2FvwUsVmiqJVTLyIBn8FDUXX2toWWmcCRgRAJsqjFirVCmsAhoOTmo+90VyHrsESAzE5pqEXWNHgPnkUeHlW97iR94pwjSAqrpo00bY73yZR4GdXeiMIvdcu1x43ESSEgC9jTU3HUvMurr4VXO5x3p0f/YLK3/BTtdZeif1gc90koSEhuFJoGWBGiAtiTC/aQg4O3dB7tvvRPa9hq41ZCtzL7FUdOrusESYHxKQRbVt7CtwqoM0Oh1+0dNIWZMAiTQOYHCwsZxnw5H53HDiPH3TS9g1va3lB9OKyo8Vbil/1U4tWRaGDkGl7Rx6U3lB9RMcyE4cozdGQFeUZ0R4vmEJLCjyoIZH/SFw22BdJEfMqwWZx1QFRVdcjM8qHMGjmapdZiRm8HWz6gAZ6YkkCIE3i/7BM9vfSVA27t+mQFxjzQqe5+A45HeEcPz5tJ7sbDyazi8ThyYNx6PDrkT5rbG10e6cOaXEgQC35opoTKVTHYC0h3+lzdLUFljQlpNOTI9tViwKgufrsyMiurnH1K5J99Gv4DSGT9xYB36FHLN5KgAZ6YkkCIE3i2b10pTsxrqM7/iy1bHI33gxGXnY175AjR4HeqJpuHbqh9w9y+PRroY5pfCBNgCmsKVn6yqr9ichl7aDlxdeh/yPRXI8DZgdtFJWLDyJBy6d13E1e5X7MLdp2/Hf77KRYPLrIzPehwwpD7i5TBDEiCB1CKQZclU5qZ80javyy6rEmWYozvudKezDGWu8oBynZoLYhCLY3quB59a12G0tGULaLTIMt+4EbC6Hbhv1TXo6dqmG58iyEllszFu58KoyfRB9Wy8nH8YXi6aiHvqz4BTdVkxkAAJkEA4BC7rfR4sfl3eYoyKIXhO9+nhZNtpWo+m/Cab01rFk+eatmcFqFYneYAEgiRAAzRIYIxufAKja5eizpzRStDjKz9odSwSB95QayU/tPFp1Kiufrd6cG91bMOFK//AB3Uk4DIPEkhhAv3T++D1kc8h15KDLHMmRmXtgw/GvIIMS+vnWyQxyUz7wRkD9NZXX77S8iprwXMyko8If8MlQAM0XIJMbzgCDrcJXvXobBlcruZurJbnwtmfsfEZ1SrR3OLphgebGrZgcc3ycLJlWhIgARLAl5XfqQ9btdynmoW+tHYFVtWpJYZjEB4ferfe1Z5uSkO2JUufhDRz+BMxKJlFpAoBjgFNlZpOIT2XZY7Cwdq/9VFTPjPUYbJhTtEJiEbHlcVkaUXXq0p3qlmkDCRAAiQQKoGvKhfhvg2P68nrvI3jyq9c8yfVKvosBqkWymgGaWX9Zvx72O7cCbP6182uVntiIIEIEmALaARhMitjELBkpuHagQ/pbaAN6uvdYbKrSUgnY1HhpKgIeEzhFPV49pm6jUVUe2owJnt4VMpjpiRAAqlB4LUdc1opalFPmw93f9rqeLQOdLd3o/EZLbgpni9bQFP8AkhG9WWMfIUtH+cNewm5ynGzQxmhDeprvrslOi2Sf+x3ORZXL8eq+p/1sVqZqqzn935IjdOK7kzVZKw76kQCJNBMwG5Wq2i0COKH064+qhlIINEJ0ABN9Bqk/K0IuDzK/6dVU07ozai05jed96jj0QjSBf/s4Gfwxg9u1DdoOGSQFb3SojPeNBryJ2qerj1uVm18iiVqFcZEbsu6Upi3boWWmwP3yNExKTNShfymx+n4SPnilDGgvuBS26eWHO/b5S8JJCwBProTtuooeHsEhvRwwu0NNDZtFg0j+kRnybyqejPufC0Xk3YvRJHHidkrxqBscjYO3Ye+QNuro3CO1zSY8OS8Qmwss+n1fOrEShw+PPL+XcORkWmNQcA+5y3Yv/mqURiXC95u3VD3h+sBtYZ7IoS9swbjmWEPKK8a1yBNtXr2TuuBvw3+C/KsuYkgPmUkgQ4J0ADtEA9PJiKBomwPLjt8Nx7/qAhZqiXS69UwoJsTZ0yKzlKcM/6XhXtWXYs0zQGzcsN09s5/4zHvNcrg7YfiHE8iIjSszB61uun1s3oo+aSFudGImP19rqpnL/Yf1GBYuSlY7AlY1qxG2ucLAgo2794N26efwHXY4QHHjbyzb85ILJ4w18giUjYSCIkADdCQsDGR0QmM6OPUVyfaWae64N21GNIjOq2fwuHqn+5AtqcaVuX8yRcu2vgUVm+9WRmg0fXX5ysvVX5llat0m1dfccqns1sNrfhwaTYNUB8Q/uoELL+sh6ZaOk1+jtNNHg+sq1cllAHK6iSBZCVAAzRZa5Z6IT/Ti/49PaiqktU7ogck37U7wPiUkjywoKRmo9oaGr2CUzBn1ZgNcxu9p84oje9NQcRJo7KWmQnY1CQeZ7OPXjFItdy8pNGRipBAIhOgG6ZErj3KbggCZemtxx/meGtQnrvbEPIlkxBD1fhe6Yb3DzaLFwcOaV0H/nG4nXoEXPsfAC0zC5q1sZ3F1xraMP2U1INBjUnAgARogBqwUihSYhG4df8tusC+RlYZ9flx71psKObtFemazLBr+NOJu/RsM1RXvF0ZnwcNrcOxY2ojXRTzS3QCFgtqr78JrgkT4enVC+59hqPmpluBtNZrnCe6qpSfBBKRALvgE7HWkk1mNS7L9uXnMNXUwNOvPzzDRySUhp7+/THlmOX466LeyFKun+b0Lce/Bpfhg8yBCaVHoghbpCZ2zfj1VuyqturjQQuyWjSJJooilDP6BMxmOE48OfrlsAQSIIGgCdAADRoZE0SUgNeLnFtugCZjtZSbFBne5xo3Hg2nnxnRYqKZ2d2DbsaUqlNw2eTNahqSFy7NhfsG/gkl9uJoFpvSedvU6qc985t9I6Y0DCpPAiRAAglIgAZoAlZaMomc9vZbjTNVlfHpC9ZlS2HZdxw8QxJjAk++8sn3zX7v4s2d78KhOXFg7ngMztzLpw5/SYAESIAESIAEWhCgAdoCCHdjS8C8aWOAmxS9dM0L8/btYRmgMuv9w2VZWK7c9mTa8/HrgyqQne4bpRl5HW1qybwzup8Y+Yy7kON2504sq1mpnFPnYELu2C6kYBQSIAESIAESiC8BGqDx5Z/ypWv5hdA2bYJJdcU3BbcbWl54K33c9b9ibK+0qhnTyg8gzLrz8tum70D3vORyDL+w4htc9/Nf1drQNlQrX6SDMgbgPyOeVq6KOAGq6XriBgmQAAmQgOEIJJwBalJ+3CxqdmM0g5QhIdrlhKJDLPQPVi4fJ/n1bXc1D5dyiWJb+gM0NVlAjFBxmaIVFUEbO0550gwtLNtgx5ZyubQb61HTfzXM/CIf102rCC3TKKQKty43N2zDFWtu0SVrQOMqQOvqN+LJLf/Clf0uCklis9RDDO6xYIWL1T0Z7PUbrB7CV4L8RrusYGUzYr37dDCibL66NGI9GpWXUeXy3ZO+642/sSGQcAZomnKh4bvxo4XIusdvXFZWVrSKCDlfedgZTS55qEhIT09Xfp/VZKJggmKsPfJ3mF77D1BRDtPe+8B0+JHI2pNnMFn54jqVW/gMO1Df7H9anTKhusFqGHZyDQurcOryh4rlyLZkosbT7APTo1zgzy3/FDftc6UPR1C/cn0Z8SUhrESucHh1BkLqJJr5S/m+Z1dGRoZaItav1b8z4WJw3ojPFlFb6j3ceyUa+OQ9oamxPkE/86IhjF+eIlcsrmW/Iru0KfUoskX7HuuSMH6RfB8QmWrhAqlPhtgRSDgDtKGhAW7VRRvNIDeI3W5XK+hEZ+3wcGQvKCgwnFxyA8vNW1tbqxYdCbD6uq7qCX7jJ6uru56ujZjFGVa4PYEz0C1mDb0LHIZhJx9Swiqca8zsEsO/0fj3x5BuSg85X/mIkBdFfX29f5Zx387JydFbDMPhJUp09PITg7BGuQKLZhBjRYxPuVdcfhPvollmV/M24rNFZJdrUu6V6jCfC13l0NV4vo8IhyN6y/x2VRb/eHl5jSs9hXuv+OcZiW0xiuU+Nppc8iyWa0zufY9yCRhq6OjZEmqeyZ6OA8WSvYZTUL8+hW5M27fRiLUqwzNNOSzPz/TgwsnG6X6PRLUcUXAIutmKYDM1f0ea1XjXewfeHInsmQcJkAAJkAAJRI1A85srakUwYxKIPYGjRtZicHcnNlbkwuytxwFqqUb1AZ5UwWKy4Pm9/4bpyy5EpZqAJOGqPhdjQEbfpNKTypAACcSHwNyyT/Hqzjmwqo/c3/e+ACOzh8VHEJaalARogCZltVIpIbBXNxfGDnarLp96NbYn+Zh4NA8O/+E01ebZ3A3/2OYXMDRzECbljUs+hakRCZBAzAg8u2Umntj8YlN5X1V9jzv3ugHHFx/ZdIwbJBAOgSRrEwoHBdOSQGIRmLv7M2SY09XaS83WtVtzY8amZxNLEUpLAiRgKAK7XRUBxqdPuHt+eQwOb4jj/H2Z8JcE9hBgCygvhaQlYPv6S3hXr0ZaRjoapqlJTmqgeTIFh9ehXFW1/oas9xhrAlEyMacuiUfArPwMW7ZugVdNgPEoLxuRCK/teBuvq65p8TJ8cc9zcGThIZHI1jB5VHtqkGvJRpX69Q/ygSs9LwwkEAkCNEAjQZF5GI5AxvNPw1JaCjWtUY1fMiHnu29Rc+OfoOXnG07WUAU6IG886pUR6h/STHZMLZrif4jbJJCyBOwffQD7p/PF/xVMara6u28/1P8+NBdlPoj3//IEXtnxX98ubim9FzvUamRn9zi56Viib3S3d4PdrHzZtbA1ZanhNDnOQAIRINC6+SQCmTILEognAcvaNbCuWQPTHpcaJjUAVFNGaPrrytdotIJy4WP9cTmsPyyGqTo27rtK7MV4bu8HdY1yLTnINGfgSDUz/vLev4mWlsyXBBKGgOXntUj7aC5Myt2VGJ8SLFs2w7bws5B1KHOVBxifkpFTGWUy9rre07gYRMiZGyhhujkNjw25S5dItuXZkm3JwrujZ0ImPzKQQCQIsAU0EhSZh6EImKoqoSk/riY/n6RihJoqouSGSfmlzfz7jD35azArX7W1qpXFq1pboh3G5ozE/H3fwJq6dWot+FwMydwr2kUyfxJICAKW0p/1D0+5931BPkqtK36E6+DJvkNB/dap4S1iiNV4agPSeVUZsghEMoW9swbjo7Gv4uPyhWqgjxlHqGEG+eoZw0ACkSJAAzRSJJmPYQh4VTe7v/HZJFiwqzQ1Jex4I/PpJ2DeuaOpxVViZ77wLGr/eCO0GKymJYbn+NwxHQvJsySQYgS0jEyoZYpUE2XzpBnpCdGys0Mm0UN1TeeosZEtDVBpBc0yq/KSLBTZCnBayQlJphXVMQoBdsEbpSYoR8QImGvroKnVmWIVzDu2BxifUq6sP2/etDFWIrAcEiCBFgRc+0+CV008dO95y8nCp9Ia2jD91BYxu75rM9vwzLAH9ATSEipDX4pthZg39jV9BbGu58SYJEACbAHlNZB8BJRbTL0LPkbLSUpLi2+MmQ+mqV4ZwUk2696nG39JIBEIeKxmDD9iAR75dgCGVaRhW4YLt47fgqctNeiOjJBV6JPeEwvGzcai+uXKoAX2yxyNTEvo+YUsCBOSQIIToAGa4BVI8VsTcA8einQ1LtM/aKorzjn5UP9DEdtuOGk6Mv71IkxqIpIETc249ZZ0h7f/AH2f/5EACcSewH92/A8Wiw1X7L++qXAZy/jwxmdw76Bbmo6FsiGtn1O7HQavuueNthZ8KPowDQnEgwC74ONBnWW2IiCzx22fzYd5wy+tzgV9QLU81v7xhsZkaWnQrFY4pxwB9777BZ1VVxJ49h6Oukt/B09REWT8qfOQQ1F35TVdSco4JEACUSJQ5a6G+K30D161bIPMZGcgARKIPwG2gMa/DlJegqy7bleuixrXMle953Acchicx08Li4uWl4/qu+5DrmqNrFGTEDRliEYzSGtn3XU3RbMI5k0CJBAEgX2VhwhxGeRtYYQekrd/ELm0HXWLYxsWlH2jLwRxZN5kzg5vGxOPkkCHBNgC2iEenow2gbRXZ8GsjE8xPOVPQtoC1RK6amXjTjj/q4lIJnE8z7GY4VBkWhJISAL7547D2d0bncPLkrXiy3J01j44r+dpYemzvGYljl/6azy07mk8uO5JTFl8CkrrI9BzE5ZUTEwCiUeALaCJV2dJJbHtx2Wt9BGvffZvv0HDsL1bneMBEiABEugqgav7/hZHFByMNfWlKLIW4tCCA7qatM144mz+1z9doZ8T10u+cPWaP+PNUS+oVddi533DVzZ/SSBRCdAATdSaSxK5xV2Sr+XTXyUtLbGWeyt3VWLGxmd1/4DTux2Lg/In+qvDbRIggTgRGJo2HCWekchKk0mC8nkbetjl2t3mGum71LjSeuWkPscauo/R0KViShJITAI0QBOz3pJGasfRxyJj9hsB+ohB6jg2vDGgARlGeWenswzHLDlbTW9onAU/r2IhLuv1G1za+9wol8zsSYAEOiJQusOGpz4uULPVTahzmnHaxEpMGV7XUZIOz+UqA9PVYkypJKj31kN8hDKQAAl0nQDHgHadFWNGgYB70gFwHD1Vz1lfpUQtoVl7xdVAGKuVREHMDrM8YelvmoxPX8SntvwTq2tLfbv8JQESiDGBshoLHny3GDUNFt34lOJf+yYPP24KfUKirDp2VZ+LAzSxmax4cNCfIWumM5AACXSdAFtAu86KMaNEwHn4UXAeeLDuzF3LUl1Yym1SIgWH5mglrrTiLqz8BkOzBrY6F+kD31cvxaLqZXrXoCybZzbxuzLSjJlf4hH4bp1dfRg6lefPwOE8c38yY0Sf0PU5o/uJGJjRH6/snK1m2ZtxZreTsF/O6NAzZEoSSFECifWmT9FKSgm10zPUykGJuZqIVTljccMTUE0y0qy7vTjgWDR2ntr8Lzy/9d9QKwzqLmfu3fB3fDHuf8jgyizRwM08E4jA0lq1UhEOaiXxz/qM9ZJWx4M5MCF3LCZ3P4CO6IOBxrgk0IIAm0paAOEuCQRL4LLe57VKYlXdcscXH9nqeCQP/FS7Bk9veUk52/Yo89cDmZUrs3Dv3/BEJIthXiSQkATq3a425fafvd5mBB4kARKICQEaoDHBzELiQcCreVHlrlGzUxuiWvxFvc7G9X1/p7r6zLpj6rHZI7Bw3FtRLVMyX133s+7b0L8gMUYX1yz3P8RtEkhJAr1sfZXejRMD/QEUmnr473KbBEggTgTYBR8n8Cw2ugR2OHfhitW3YINjMxq8Dlzb9zKc2+OUqBV6Vo/pkL9YhgJbvupiDHRiJfuFVuV8n4EEUpzAxF6F+H6lWopTa/bNqSmD9KC+uYpM6DPhUxwr1SeBiBFgC2jEUDKjcAiUVVuwfpcNdY5AgyqUPMXgnLrkLKxWzqdlW8Jjm17Ae2Ufh5KdYdNMzp+EQRkDmuQzK+NTWmEfGnJ70zFukECqEqjI+RS7cubC6nUh210Gi7YbLusubC55OlWRUG8SMBQBtoAaqjpSU5j/fpeDz1ZmwqoaKmodZlxzzC4M6dH2+K2uEPqi8ltkWTJR62lu5ZBxXy9tex3HFh3elSwSJs4/h8/AP7e+ivkVX6LIVoA/9L2E61InTO1R0GgSkDHStpzXcPfSWchxmZHt8eCqCevxffVe0SyWeZMACXSRAA3QLoJitOgQ+GptBuYub1w9xKF6yyQ8/H4x/nrKDhTlBM4sbzzb+f8eNQ5SWgJbBqcWulHbMi8j7f+m5+mQPwYSIIFmAr1dWZgzb6g6ID4pGp8lM74dgMd7FDRH4hYJkEDcCLR+S8dNFBacigQWrspspbbd6sWyMJxFT8rdT18Ss2XGxxUe0fJQUuzLEoDS2rOpYWtS6EMlSCASBE7aWASHufUkpIvW9YxE9syDBEggTAJsAQ0TIJOHR8Bua/2CkBzNYQwFXVG3WrV5tF7z+ZvqxbgQZ4YnsMFSr6lbh8tX3aAvD1jlqcbxRUfgzoE3GkxKikMCsSdgMplgN8nymIE9KRblqiw5+0Jiz5glkkA4BNgCGg49pg2bwHFjamAxa8hQ4zULXWVqwoATTrcZkwY3j98MthBZmz3L3LpldZtjR7BZGTp+uasSp/94Ccrc5RDjU8I7ZfMwc9ubhpabwpFALAi4R4yESY37bBmchxza8hD3SYAE4kCALaBxgM4imwkM7u7C7cVvoseCt+FRLROZ3npsvfx62K0lzZGC3BqQ3le1eQS2rFqUh87+GWGsvxekDLGI/rla6lMM7VpvoLE+e9f7OKfHybEQgWWQgGEJaAWFqL3iamQ99ohaZS1duQT1ouFX0+Ht19+wMlMwEkglAjRAU6m2DairZe0a9P9sT4vdnl7znk/ej5pbboOWkxOSxCOz98ZZJSfhH9tm6enTTGlqacp0PDDo1pDyM2oim+peNKtuxpZB3DExkAAJKJuzdx/s+MufsbtqC7Izi5CX3Y1YSIAEDEKABqhBKiJVxah6+zO07CxvUAZj1XcrkTNlQshYrux7ESbkjsEPjhVI96ThzJJfwW62h5yfEROKH9CHNmaoCVd1TWNexSi9vv/vjSguZSKBmBNYUrMC16y5DeIZQ4apXNf3cpzN3oGY1wMLJIG2CNAAbYsKj8WMQHW9CW0tjLetworQ2j+bRT8gbzyOyTsCVVVV0LTWk5KaYybmlrTqvj7yWRy39Fx9udFMtX99v99jv5zRiakQpSaBCBLY4tiO83+6KiDHBzY+iX7pfXBw/sSA49whARKIPQEaoLFnzhL9CCzqfxSGLF3hdwRI1xwoGzQWQwKOcqctAjnWbCwYN7utUzxGAilNYO7uT2FV/9zqn394Y+c7NED9gXCbBOJEgLPg4wSexTYS2Pe4vfBCjwv0nXpzOrbbSnDdwAcxcRTHMfIaIQESCJ2AuFuymFq/4mwmtruETpUpSSByBHgnRo4lcwqBQM98NwrOMOO8ebfB7jGhPPdnPHhMrZpckxVCbkxCAiRAAo0EphYehic2v9i4EJIflN/2Otdvj5skQALxIkADNF7kWa5OYEPDZly36UpgWCMQWULzjJW5mDP6X8i0ZJASCZAACYREoJu9CK+MeBInLbsAGap3RVo+/zLgjxiSuVdI+TERCZBAZAnE1ACtqanBkiVLcNBBBwVosWrVKvzyyy8YN24ciouLA85xJ7kJ3LV+RoCCXuW/s8HrwHtlH+OUkuMDznGHBEiABIIh0F9NOPp2/PtweV2qV8WMtCTzhBEMC8YlAaMRaD1AJkoSNjQ04C9/+QveeuutgBIefvhhPPDAA1i8eDEuuugibNiwIeA8d5KbQL1yPN8yeDQvHJqz5WHukwAJkEDQBOybtyB30VJkrv456LRMQAIkED0CMWkBLS0txc0334y8vDz9z6fO+vXrsWDBArz++uswm82YNWsWZs6ciZtuuskXhb9JTuCE4qOxrHZlgJYONQv+oLzQfYAGZMYdEiCBlCVgn/sB7J/Nh3rBwORwwN23H+p/r4b8MJAACcSdQEwM0Lq6Otxyyy0oKyvDu+++26S0GKajR4/WjU85KF3w77zzTtN52di5cyd27Ghew7ugoAA2my0gTqR3xBiWYLXGBE9Q4pvUyjdGk8tiseg6yG+wshXZC9vUP9OWEXRebWXk42VEP6BynQXLqy0dI3lM6tDHLJL5hptXLO7JWOjtf68Y7ZqMhf6hXgehyGZWq6ylzZsbUKRly2akfbEQnsmHBRwPZceo94qwCoVXKAyCSSP3sBHl8r8nRT6G2BGIiYU1cuRIXaP58+cHaLZ169aAFtHc3FzdSPWPJK2jjzzySNOhN998EyNGjGjaj+ZGt27GXLbNqHLl5+cHXR2vrZ7TKk2Gmnz0vWsZLujTeN20ihDkgYwMY05mEuPTqLLlhLgMapBVE3T0aF77Uh/yDIpFkA9pI4Zo8u1I3x2VwMpNQLZasn3coNYxs7KyIH/BBMfCz+ASg8JvEQqTx4P01auQecppwWSVkHHjVZedwTLqM6+oqKgz0Xk+wgRiYoC2J7N8eXjUA8EX3G53qxfyySefjEmTJvmiQB7cu3btatqPxkZ6err+sJMWW6MFMQyqq6sNJZZ82RYWFqKyshIulyso2UzuNr441QujobYhIvWcnZ2N2tpaw62EJMa6sBLZjBTsdrveSuFQ3ZVGCpmZmUhLS0N5eXlYYnU0yVGeP9F+toiRK3VfUVEBKc9IIV7PlkXr7Xju4xzYLOq+d5lQlO3FnaeXS6+5HuTZInMIpCctmCD9MlbVW2ZyNo8n15RB6lLP90jUs1yP0ort9Ms/GPmiFVeeeXKdyTVmpCDvCbmPZTKykYL0qMrwwN27d8Pr9YYsWkfPlpAzTfKEcTVA5Qtt6dKlTYjlAujZs2fTLDQnrAAALulJREFUvmx0795d//MdlC75YI0cX9qu/spLWEK0y+mqPP7x5IFnNLl8XRjyQg1WtvN7nI7vqn6AS2t+Gdd7G3BU/uSg8/Ln5NuWB4rIZLTuTpHPJ5tPViP8+roVg63HaMvuezFEU65Y3luh3CvRZhxL/X267Kiy4Mm5ja3OLuUHWMLuGjNe/zod08c3fmiLXKHcK679JiDr44+gWjkgLZ9ifJpUXnUnnSwPd58IIf+KkReKXCEX2MWEIlM86rIz8cQANSIvkUuC3JP+DWKd6cPz4RPY840Zfkah5DBhwgQsX74cGzdu1Ct/zpw5mDiRa/SGwjIWaSwrfoTtqy9gUWOrIhUm5u6L+wb+Sc/ObrJhSMZAvDt6JrIsmZEqgvmQAAkYlMCabXakWwNbnTyaCT/8ovriww2qZav2hlvgHjEKHtXY4Rk0GDXX36zW+jXmkJxw1WV6Ekg0AnFtAZXxVpdccgkuvvhivQu3f//+OPvssxONYUrIm/HMk7BsVoO01Ne1SbUeuEaPQcPZv46I7lMKD8LX+e9AtU+opfMsur++cDMud1XiD2tvw/LaVXCr1tW/7nU9phUfFW62TE8CJBBBAhl2TQ35ANJUr0dvx2bUWrKw3d4DaTYtMqWoYV4NZ58bmbyYCwmQQEQJxNQAPeywwyB//mHatGmYOnUqZMyZjF1hMB4B29dfwVoa6EPP+uOPsC5bAveoMRER2B5BB9HidPrwH07VDVoNjS+yO9Y/rFpVszCl4MCIyMtMSIAEwicwtn8DFn1ejgt/fhAW9aGY7a3FF7kHoPvJp4efOXMgARIwNIG4dsH7yMggYBqfPhrG+7WsWd1KKJPHDYtyo2XEML/iS2SZM5Xp2dyK4tJceHrLS0YUlzKRQMoSsNTW4JpltyLPU6kbnwLigKov0XvJxxFhUt1gxowPCnDtzBLcOKsEO9WYUwYSIAFjEDCEAWoMFJSiPQJabg401ZXlH2RfM2iLtUdr9qzgL7NDLfHJQAIkYBwCltUroanZ5P5BpiLZvvvW/1BI2y71GLhhVnes2pqGepcFVQ0W3PZmN2yvDHyWhZQ5E5EACYRNgAZo2AiTPwPHkVP1lUS0PbMFxfiUWaXOww43pPITcsei1tvaZcu47FGGlJdCkUDKEpAPWxkE2jJYwn81vb04Z0+u/vmb8M+FeS1L4z4JkEAcCIR/l8dBaBYZYwLiu+3Pd6jxnqPh6dMXrn33Q/XtdwItWkVjLFW7xS2qXoY0U6MrLf9IP6oJSQwkQALGIeAePhKaXfnT9DNC5QPXccJJYQu5oUxWzGsehuPLcGdVTKc++IrlLwmQQAsCvBNbAOFuOwTUON2Gs6I3m3R1XSl2uyowJHMvFNnCWyWm3lsPq9kKh8cZoExbraIBEbhDAiQQWwLiKumaPyLrgXugvM0Dygdzw4nT4dlrYNhy9Mxzq+731h+ihVltD9EJu0BmQAIkEBQBGqBB4WLkaBC4fd3fMHf3Z7CarKj0VOHhwbfjsDBmq0/K3Q8Ob6DxKS2ihxccHA3xmScJkEA4BNRSubWqhyXS4bix1Vi4OhPuQDejuOgwY60QFGm9mR8JJAoBdsEnSk0lqZyztr+F2bve18dsivEp4Rrlv3N9/caQNS6xF+OZoffr6fOtuchWTu0n50/CNX0vCTlPJiQBEkgsAtnpGu44ZYda4tMLi1lDVpoHVx5dhpJctoAmVk1S2mQlwBbQZK3ZBNHr7V1zW0kqKyJ9XvkNBmT0bXWuqwf2zR2FT/Z9AxuxFRaHCcOzhnY1KeORAAkkCYH8LC9m/Hp7kmhDNUgguQjQAE2u+kw4berUeM2Wwal8dtZ6Wh9vGa+zfWn97J/XF1VVVYZcC74z+XmeBEiABEiABJKVALvgk7VmE0QvtfBmm5KmmwN9A7YZiQdJgARIgARIgAQSkkDbb/+EVIVCJyKBInvrGe/ppjRkWjISUR3KTAIkQAIkQAIk0AUCNEC7AIlRokfg8t7nq9nvzSuTiMvoBs2BE4qPjl6hzJkESIAESIAESCCuBGiAxhV/4hRuUuMo0198AZkPP4j0l14EXK6ICD8mezieHvaAboTalaukMdkj8NHYV5Fmtkckf2ZCAiRAAiRAAiRgPAKchGS8OjGeRE4Hsu++Q1+txKRpMO/coe/X3HgLkJYetrzjckbh2/Hvh50PMyABEkhMAlWfL4V3xSp4s7JReNqRajF4WcWIgQRIIJkJ0ABN5tqNkG5p77wNWQfe5G306Cy/mssN+4LP4Dwy/K7y7RUWPPVxAWodZuxV4sTlR9BRdISqjtmQgOEJVD39Crqv+wFWeOCGBdal81Bx8+2w5GYZXnYKSAIkEDoBdsGHzi5lUppqa5qMT5/SJrcLptpa327IvzX1Jtw+uwTb1frMNQ4Llm3MwB9mdoe39RLOIZfBhCRAAsYkUL5sA3qv+143PkVCMUI9yjNG+T/eMqbAlIoESCBiBGiARgxl8mbk3nsfaJbmiUI+Td1Dhvo2Q/699+1ilVasTZl+1BgaXCbM/i7Ht8tfEiCBJCVQuWE36s2Bw3gs8CKjfFuSaky1SIAEfARogPpI8LddAu7xE+EZPEQ/r6WlQbPb4Zx0IDzDR7SbpqsnalS3u7/x6Uu3Q7WIMpAACSQ3AU9RN79Pz0Zd3aoFtCJDPkwZSIAEkpkA3/LJXLsR1K3+goth+XktTBUV8BYXw9t/QERyL8zyYFultH42t4DK9oBuzojkz0xIgASMS2DQpN746Yv9sO+Oz3UhXaoT3m2yIvvSs40rNCUjARKICAEaoBHBmPyZVLtrMcPyNjZlbcEQ00Bco10Csyn8BvSrp5bhxld7KIC+bngNOeleHDM6/PGlyV8r1JAEEp/A4D9Mx/w39kb2upVwpWej+JRD0SOfr6bEr1lqQAIdE+Bd3jEfnlUEXF43Ji8+SfnqVK0TmhvfVS/By9vfwDf7vQubOTx3KbmZGmacuxVPzitAVb0Ze/dy4pQJ1eROAiSQQgT2O2Ufpa38MZAACaQKARqgqVLTYej5903Pq44xi258SjYeNUlAlsucuf1NnN/zjDBybkxqU1fhlVPLw86HGZAACSQegTqHCY9+YsOmHbnQNDN+f2QFhvfmEJzEq0lKTALBEQi/DzW48hg7AQlscW5X/vk8AZLLcpnbnbsCjnGHBEiABIIh4FGuhf/4Sg/8si0fXq9NGaAWPDo3F0s38dUUDEfGJYFEJMC7PBFrLcYyj8seDVkms2UYlc0us5ZMuE8CJNB1Au+sroTHVKumHTa7eTPDhue/isxSv12XhDFJgARiTYBd8LEmnoDlndn9RLy+cw7WNWxUDlJMsKt12sdmj8RxRYcnoDYUmQRIwCgENtTtVM+UnjhtxyyMq1mMKmsuHu/1fyij/WmUKqIcJBA1AjRAo4Y2eTI2mUx4Y9TzeK/sY+xy7UaftJ6YUnBQ8ihITUiABOJCYGCPKlz65s3Icdeodk83vGro52Nrf4frJh6m5JkWF5lYKAmQQGwI0ACNDeekKOVYtngmRT1SCRIwCoFf7bbB5qlQkxwbg4wJE4dsd21bCzaC7oHCHxJIUgIcA5qkFUu1SIAESMDoBEx1tbDY0wLElCUp7LUNAce4QwIkkHwEaIAmX51SIxIgARJICAKefv3hdAcamw1mLyr7liSE/BSSBEggdAK+no/Qc2DKlCBgKitD+quvwFxRDi07B3UXXwpkZKSE7lSSBEggOgQ+SVuPb0Ztwh0/9EWtRXkYVs2fWzKduG3MCjwbnSKZKwmQgEEI0AA1SEUYWoz6emQ/cE/zYplVVci+507U3HgLkJlpaNEpHAmQgHEJlLsrMXtIPRYVrcL4sixU2jx4u28F+rn7GFdoSkYCJBARAjRAI4IxuTNJe/8daGomvEmT6QHQfzWvB/aFn8F59DHJrTy1IwESiBqBoZkD1bpqXqzMd6i/xq54m8mGEVnDolYmMyYBEjAGAY4BNUY9GFoKU119k/HZJKjbDVNDfdMuN0iABEggWALDs4bitz3P0ZNZTVZkmjPQzVaIO/a6LtisGJ8ESCDBCLAFNMEqLB7iukeOgnX50gAjVGaquvcZEQ9xWCYJkEASEbiw11l6i+e88s914/P8nmfAYmpeGSmJVKUqJEACfgRogPrB4GbbBNxjxsK1ZjXs330Dr5p4ZPJ64Th0CjxDhradgEdJgARIoIsE1tStwy2l98KluVHlqcZ6x0bcNfDGLqZmNBIggUQlQAM0UWsuxnKvOfpYzHLujbwaDyryrLjykH3AOfAxrgQWRwJJRqDcVYnTf7wkQKt3y+ZheOZQnNPj5IDj3CEBEkguAhwDmlz1GRVtqpxO3PvmUKxzHoEl9uOwrn4Krp6Vh/KGQP99USmcmZIACSQtgc8rv0GWORPFFcdj8KZ70X/rDTB70zB71/tJqzMVIwESaCRAA5RXQqcE7py/Rc1TdcG0Z8E8s1q12eS149FvNnWalhFIgARIoD0CMvFowC934ZolE/H3Jd/g/qXbcfjyT2F15beXhMdJgASShEDCdcGnpaUp/+fR7fy12Wx69ebk5Biumq1WK2ItV4MzHWJ0+gezlo56l12XxaRcNEnIVD5BpX6MFKQus7OzjSSSLovZrIgq2WJdl52BkOtLgu+3s/ixOm+32yHXWTR5SZ1EM39hJWVIkHvFq8ZSGynE49kyrOI4PP7DPeju3KqeMMoRvfrMfWrNpZhR8ifkTG58/kq9S/1Hu26CrQvhpSnXdCKbkYI8V2JxLQers9SjEZ95FkvjhLesrCy9PoPVi/FDJ5BwBqjL5YrJg1seKvXKAbvRgtzAsZZrWO9aLN+l3C7taQH1MRnVy6vLIjew3LwOhwNSP0YK8pJoUEMF5EVhpJCeng6PxxPzuuyMge8DQurSSEFeqHKdhXvtd/QxIgahUw03iWaQ61GMT+HrVq7MjBTi8WzRFq9Cb+cm9WxpDGa13IWY5ccve13V9WX6QWlwkOdKuHW/p4iI/cg9HItrJliB5T6JR112JqcYoHIfG60e5V0v15i8J8L5KOzo2dIZm1Q9n3AGqFwg0X5w+y7CaJcTykUnhlSs5Tp14FD8uKTlpeLB0b0H6bL4jDsxqGItW2cMfdeLT8bO4sfyvE+2WJbZWVliIMmLwoj1KLJHW65o5y9sJRjxXonHs6VAq0CDOR0Z3ubx5NJGXOguD6jreMimV1QH/0kdGvEeFlZG5CXGpxHl8rWASn3KH0PsCHAMaOxYJ2xJH6/IUrJrOLhyAaaVzcGEqq9hNpnx9c/RHQqRsMAoOAmQQJcIFA3roYb3BPaaOFVPi2lgYZfSMxIJkEDiEmjZrJW4mlDyqBHwqD6x+0qvQ4GrHGmaQ70wNPxUvjcWjbw6amUyYxIggeQn8GnWJiwbvhE3LO8Fp2oddqkP27L0etw0biWeSn71qSEJpDQBGqApXf1dU/5X1e+hp5ok4BunJakGNpSi0LFAbe3btUwYiwRIgARaEChTH7Uz96nB98VrMH5XFqpsHrw+YDd6e/q0iMldEiCBZCNAAzTZajQK+pSU/RxgfEoRaZoTBWW/wEEDNArEmSUJJBiBujqZ4g+oiTnBhKGZA+HRvFhU5FB/Kg8VbMo1kziiZyABEkhuAjRAk7t+I6KdN78AmppZafIboC373jz66osIYGZCAolKQBmeWQ89AFNNtf6R6s3NRe2Nf2o0Rrug0/Csobio15l4YvM/YVH/0szK3ZIlG3cMvL4LqRmFBEggkQnQAE3k2ouR7M4jj0bagk/hNmmwaiY4zcr3nTJGXQdPjpEELIYESMCIBLLvuE2JpTX1kJiqqpDx2COov+oPXRb3t73OxX45Y/B99VLkKuPz5G7HwWpq9M3Y5UwYkQRIIOEI0ABNuCqLvcDVFjcmTF+Cm5f2Rr8aO1bmN+C5EVV4y1uLXLPxnPXHnhBLJIHUI2D+ea1Sutn4FAIyTtyydYtsBhXG5YyC/DGQAAmkDgEaoKlT1yFr+uim5+BV47vuGLu5KQ+7yYaXt72B3/U5v+kYN0iABFKIQG1NU8tnCmlNVUmABCJEgH5AIwQymbOpcFeq1UkClw10ai5UeWqSWW3qRgIk0AEBk0UtRdnBeZ4iARIggY4I0ADtiA7P6QSmFBysTxBoiePQ/EktD3GfBEggRQho+TIJsbUJ6u+uLUVQUE0SIIEQCNAADQFaqiU5ruhwTC08VFdbJglkqKXzftvzXByQNz7VUFBfEiCBPQS+yt6JT0uqA3ioRSBx/4jgx4AGZMIdEiCBlCDAMaApUc3hK3nXoJtwZveTsN25C33Te2FY5qDwM2UOJEACCUtgac1PePyQdbjqx+44p7RY95Lx8PBteG3gblyesFpRcBIggVgRoAEaK9JJUM6o7H3AeapJUJFUgQQiQGBwxl56LjNGbIf8MZAACZBAMATYBR8MLcYlARIgARLQCRycPwE2tG7DaOsYkZEACZBASwI0QFsS4T4JkAAJkECnBKxmK/476oWAeHmWHHw67r8Bx7hDAiRAAm0RaP352lYsHiMBEiABEiCBFgR6p/fE9/t9gM+rvoX4Bt4/b1yLGNwlARIggbYJ0ABtmwuPtiCgKW8rC1dnorzWjO55Huw/qL5FDO6SAAmkIgGzWqTikPz9U1F16kwCJBAGARqgYcBLpaS3vFaCmgYT3N7GURufrMjEjSeUpRIC6koCSU/A5XXpOtrMtqTXlQqSAAnElwDHgMaXf0KUPnd5FirqzE3Gpwi9scyGL9dkJIT8FJIESKBzAk+UvohDF5+MA76fhsMWn4J6T0PniRiDBEiABEIkQAM0RHCplOy70nSlbuD6JpraX7RejjOQAAkkOoGXtr2Bh9c+jXpvAzxq2d1KdxUu+OlqeDRPoqtG+UmABAxKgAaoQSvGSGLtaAhc7cQn26a6ct8mf0mABBKYwLObXoJL/fMPpfUbIM7mGUiABEggGgRogEaDqgHzlO605TUr1UpGO4OWzpu3vFUaWXLPnN/6eKuIPEACJGB4AtVabSsZxSAtrVvf6jgPkAAJkEAkCHASUiQoGjyP98s+xk2l9zRJOTR9IP4z6umm/c429t57KZZtPVSZnF7V8W5Wv271a8XYvX9RSUd2lpznSYAEEoCAWXm6OHxrLjLdZnxRUoNd6W7scHGiYQJUHUUkgYQkQAM0Iaut60L/Ur85wPiUlKsbSnHZTzfgqX3u61JGF/c9CQcNH4/+m29FmrMvGjLWoq7PP3Ba90An1F3KjJFIgAQMR8DmNeG/84agZ71NH+2d67LipCmrYe/N2fCGqywKRAJJQoAGaJJUZHtqXL3mVuQ6zXjj4yHoW5em2jA1nH9wKb7GovaStDpuUyuefD3hf3ix76vY1PA5BmUMwJndn2sVjwdIgAQSk8CsTwdjUFWaWlqzeVTWPxcOxHej+yWmQpSaBEjA8ARogBq+isIT0O114/s5o1QmMm9dZrKbMHPBIPzf/qr7fELX8zaZTLig5xldT8CYJEACCUNg78pMZXwGhgyXGfvstgM9A49zjwRIgAQiQYAGaCQoGjiPZ1bI0ngb9xifjYKKIXr/9/3gnW5gwSkaCZBAzAjY2/C2JK2hBTUeNeK74/DV2jS8vzQHFpOGi6dUoGd+G5l1nAXPkgAJpCCB5v6WFFQ+FVQetNUZYHz6dJaJBgwkQAIk0BEBU0PHzuj//XkO/rWwEDuqrNhaacNfZ5fgG2WQMpAACZBAZwRohXRGKMHPe7OyVOc7AwmQAAm0T8Bjat0ZJgN2GvKK2020rdKMhWuy95xvHN4jOy8uLGg3DU+QAAmQgI8ADVAfiST99Ywe00ozMUi9xd1aHecBEiCB1CSwKKv1c0JIrMiR8eNth29/lqV4+XnbNh0eJQES6IwADdDOCCX4edeBB2NnTh9dC3lVNP6ZUHPltQmuGcUnARKIFIERtStaZVVvSkPZ2vYXrijOaW+sp7SGMpAACZBAxwRogHbMJ+HPfq3GY13b+z68XnwqVqcPwffZ++HSwc/gT//tkfC6UQESIIEIEVBeLloG6ZZPd7ZeIckX74AhDbCK9/qAoCEvo7NpSwEJuEMCJJCiBFoP/ElREMmq9js/5CrVNLxVPF3/8+nZUN/yxeE7w18SIIFUI/BT5j7Yt2YxLMpTsC9ke2uRPbiXb7fN3wfP3o4//rs73MqRvYTueS7cNp2rJ7UJiwdJgAQCCNAADcARnx3XngYDWxRqw9KqhSI+OrJUEiCB2BPwKHtSGjfNrRs4A4RZMP4CjJ//PRwmOzwmC9K8DtzX90acPyBdxWs2SgMSqR27emY9et72loe5TwIkQAKdEoiCydNpmYywh8DP2634zxu1OK78XeywdcN3w07EzSdGtvXg4im7cddbJS2Ya5g0sL7FMe6SAAkkCwGH+qi9+eVCHLprrjIozfik6Cg89OtdsFra1vCcwx04b+tLOKD6S6RrDizJHIUzjzUjJ8PZdgIeJQESIIEwCdAADRNgqMnrlHu9DS/Oxd3l7+hZSAPF9C9n4w7Lc7h2WkWo2bZK17vAi98dUYYn5ok7lcZu9575Lpw3ubJVXB4gARJIDgIPPOfE0+svbFLmvJ0zccPz9+FPl7RtgWbYNbx8tRMffj8CTo8JV/VyoDiHxmcTQG6QAAlEnAAN0Igj7VqGb726CZfsMT59KWRG2LWfXwVMu913KCK/I/u68Mi5W7G1worcDC8KstrvUotIgcyEBEggbgR+3GDGfetv1j83fT3v8ul5T+kNWFv+EHqqj9K2glk9gPYfzJ6RttjwGAmQQOQJcBZ85Jl2KcejS2ftaY8MjJ6ttT/rNDBmcHsyVqt/sZvGZ3DYGJsEEo7A7h/mBhifooAYovK39efFsstAAiRAAnEnYAgDdNWqVfjwww+xa9euuAOJlQANabtjVRTLIQESSCECaSXb2tRWDNCMgqo2z/EgCZAACcSaQNy74B9++GH8+OOPGDJkCB5//HE89thj6NevX9gcvnzyJRz1y5KmfOb3HInxV53ftB/vjdKzp2DYkx8EtFRIN9nCkhqMjbdwLJ8ESKBdAl9/9RUOn/16U6viTksu0u/6c7vxY31i7ITT4JktLpUaWz2lfHm2aOrfkIEHyi4DCZAACcSdQFxbQNevX48FCxbgmWeewQ033ICzzjoLM2fODBvKZx9+jKOV8enrdpLfw7Yux8Ln/h123pHK4JD+R+H+6YUqO3ktNL4g1mbVY9Q1j0eqCOZDAiQQYQIV1ZU40s/4lOyLPVWouPXeCJcUenZ2ix3zrzpZZdD8bHGavPju+gthVS6WGEiABEjACATi2gJaWlqK0aNHwyyj31UYN24c3nmncVa4D878+fP17nnf/sUXX4wePTpexWfKx/N0o04MT/9wxNolSM+73P9Qm9tWayOWvLy8Ns9H6uBNR9+Hhft9jdfWvYke9gJcP+o6WDp5QYhs0ZYrWP1Me1ZRycrKQkaGrA9tnGC325GbK874jRXkmhfZjFaXFkujgSKyGSnYbDblz9IUVV6ie2f1UXr33yEL2/o/W2S7j2sXLF14XvieddnZ2fB6254MFAnuR+cdi92PTMJzix8DLGZcNPp3mJQmH7ztByM+W0RaYZaWltb0nmhfg9ie8d0r6eniK9U4Qe5dYdbZtRxrieX+lfvYaHL57smcnBxomjQHMcSKQFwN0K1btwZcjGIolJUF+sHcuXMnVqxoXqfY7XbrF3FHgMy6+RkYQ14SclxugM6C74LsStzO8urs/JQeB0P+uhpEtljI1VV5/OPJC8xoN7BRecnD2Iiy+T4mfPeAf/3Gc1vk8b3AoiVHV/K3edpb/xxdui99fGNxr3S3leCWQ/7aZVxGvB59whtRNl9dpuK94quXYH+NXI9yTzLElkBcicsXpMfvgS7GZcsWtNNOOw3y5wtikHY2WWlRj8E4dFuz0epL+33RIAzvwkQnacmTr6HOyvHlG8vfgoIClJeXx7LITsuSeiwpKUFlZSWcTmP5DpSv7aqqKsMZxt26dYPD4dBl6xRwDCNIa468WOvrjeWOR+5HeTaEe0/27NmzXZry/JFrpaOwbeqB2OfN/wREkTYTJ6yo6cKzRT4ei4uLUVFRAZfLFZBPvHeM+GwRJvJskeuxuro63ogCypfrUVqx5T42UpBnnlxn4d4rkdZJjE+5j+U9YaQgreuFhYX6e9XfHglWxo6eLcHmlSrx4zoGVF7Cu3c3zwaX7UhU4rirL8S6tMbVf3zjK7dYCzH8uktTpV6pJwmQQBQITJg4AW+PapzI43u2uFXfivNe44wBjYLazJIESIAEIk4gri2gEyZMwIwZM7Bx40bd8JwzZw4mTpwYESWLb78e7839BNbVG+Hs3wOTpx0dkXyZCQmQQGoTOOyck/Hd2tGofncB6nOzcMj5p6c2EGpPAiRAAiEQiKsBKmM+L7nkEsjEImkC79+/P84+++wQ1Gg7ycFHTQGOavscj5IACZBAqASGDR4MXKn+GEiABEiABEIiEFcDVCSeNm0apk6dqo+jkZmhDCRAAiRAAiRAAiRAAslNIO4GqOCVAdNGndmd3NVP7UiABEiABEiABEgg9gTiOgkp9uqyRBIgARIgARIgARIggXgToAEa7xpg+SRAAiRAAiRAAiSQYgRogKZYhVNdEiABEiABEiABEog3ARqg8a4Blk8CJEACJEACJEACKUaABmiKVTjVJQESIAESIAESIIF4E6ABGu8aYPkkQAIkQAIkQAIkkGIEaICmWIVTXRIgARIgARIgARKINwEaoPGuAZZPAiRAAiRAAiRAAilGgAZoilU41SUBEiABEiABEiCBeBOgARrvGmD5JEACJEACJEACJJBiBGiApliFU10SIAESIAESIAESiDcBGqDxrgGWTwIkQAIkQAIkQAIpRoAGaIpVONUlARIgARIgARIggXgToAEa7xpg+SRAAiRAAiRAAiSQYgRogKZYhVNdEiABEiABEiABEog3ARqg8a4Blk8CJEACJEACJEACKUbApKmQYjp3qu6LL76Iv/3tb1i2bFmncRkB+OWXX3DMMcfg2WefxcEHH0wkXSBw/PHHY9KkSbj11lu7EJtRHnzwQbz33nuYN29eQsP48ccfceqpp2LWrFkYM2ZMQusSK+EnT56Mk08+GVdffXWsikzocm677Tb88MMPeOuttxJaj1gJP3/+fFx++eX6s6VXr16xKpblKAJsAW3jMvB6vZA/hq4RkG8Y4cVvma7xkljk1XVWPl4ejye4RAaMzXsl+Erh8zg4ZuQVHC/ek8HximRsGqCRpMm8SIAESIAESIAESIAEOiVg7TRGCkbYa6+9MHXq1BTUPDSVs7Ky9C74bt26hZZBCqY65JBDMHTo0BTUPDSVhw0bhrq6utASGyhVXl6efq/k5+cbSCpjizJlyhRI/TN0jcDIkSMhz2SGrhEoKSnR78mMjIyuJWCsiBHgGNCIoWRGJEACJEACJEACJEACXSHALviuUGIcEiABEiABEiABEiCBiBGw/EWFiOWWYBnV1NTg22+/Rb9+/Zok37BhA3766Sds2rRJ/6uvr0dRUZF+fteuXViwYAFkMkRxcXFTmlTYcLlcOquysjJ0794dJpOpSe1Vq1Zh0aJFkO7FzMzMpuMOhwNff/21zrFHjx6wWCxN51JhY+3atViyZAlEd5vNpqss15yw8l1f8tunT58mHO2xbIqQxBs7duzQ7y+5TgoKCpo07eg6MvI9OXfuXPTv3x9mc+N3fkfPlo50bAKRxBtt3Suibkf1m8r3Snu8Fi9erHsl8T1f5Hns61ruiGUSX1q6au09W+Rke9dRqt+TsbgmUtYAbWhowJ///GesXr0aRx11VBNrcb+0cOFCrF+/HitXroTb7cbo0aMhN7a4AZGxW08//TTS09Oxzz77NKVL5o1t27bhwgsv1I1OcSMj+k+bNg1WqxUPP/wwZs+eDafTiccffxwHHXSQboiK4X7BBRegtrYWn3/+OT755BN9XK2/4ZrMzP7whz/ohqbMSH3kkUd0Q6R37946C9mXB6JcX/Lnu/7aY5nMnHy6vf322zonMTxfeOEF/f6SMbIdXUdGviffeOMN3Hffffj1r3+t3yeiZ3vPlo509PFJ5t/27pWO6jeV75X2eMm76je/+Q0qKyubni0yn0EaDDpimczXlujW3rNFzrV3HaX6PSlsYhKUC4KUCz///LN2xhlnaJdccol23XXXBeh/5plnasqvZcAx2TnvvPM05VtNP64MMk0ZYJr6QmoVLxkPPProo9rzzz/fpJryXanNmTNHW7dunTZ9+nRNtQjr51555RXt7rvv1rf/8Y9/aOrmbkojrL/88sum/WTeUP5jtXPPPbdJxY8//li75ppr9H1lvGvKz2zTOd9GRyx9cZL1Vxnp2hVXXKFfT6LjN998oynDTVe3o+vIiPek6inQbrrpJv3ZonziaupDt6na2nu2dKRjU+Ik3ejoXmmvflP5XumI15o1azRlgLZ5pbTHss3ISXSwo2dLR9dRKt+Tsaz+lBwDKrNpb7nlFpx11lkBRr4c3717N3bu3ImXX35Z7yaVCPJlKV0a0hIqQb4opWtj8+bN+n6y/3fppZfqLTk+PeULW74QS0tLdSa+LsZx48ZhxYoVejTpIpJ9X/A/5zuWrL/Dhw/HM88806Se8JIWdwnqJYHs7Gz8+9//1oc0qJtdP94RSz1CEv8nreLqIwcDBgyADPWQFnPZltDedWTUe1KG58gCA9Ib4B/ae7Z0pKN/+mTdbu9e6ah+U/leaY+XXB/ybJHhPO+//77uhN7nNaIjlsl6Xfn06ujZ0tF11N5zx5cvfyNDICUNUHFTMWrUqFYEVcsoZNyHjAuVF4l0ub/zzjt6d6m4tfDvPpbxjmKspkKw2+1NYxhVa55ujB977LHYunWr3t3uY5CbmwsZIypBuu1l3xf8z/mOJeuvGOS+cVfS1f7SSy9BtUDo6spL4quvvkJaWhr+9a9/QbXA68c7YpmsnFrqVVVVpa94I11mMnxDQnvXkXA14j0p9fqrX/2qqdvdp2N7z5aOdPSlTebf9u6Vjuo3le+V9njJNSLDyWQ8Y3V1tf57+umn62NoO2KZzNeWv25tPVs6uo7ae+7458nt8AnQD6gfQxnT+d///rdpAsTgwYP18Wjjx4/XDVK/qHqrqIwDTaXwv//9T28Zfuihh/RWPJksIoa6L8iXts/w6uicL36y/6ouHtxwww26MSWtYhJkfKOMI5YXyQknnIATTzxRN+jJC/oHi1xjn332GaTVXZYSbI9Ly+PCVq4/o96T7T1bZEnWlrr430eiVyqElvfK9u3bA54twsBXv+QFtOQlfH7729/qf76JoNKYIq2hMsbc/zntz1K2UyFIA0hXny3Cg9dYbK6KlGwBbQ9tRUUFysvLm07L7Hh5EMrECJlMIze0L0jrZyqtGyuteK+++ioee+wxfUKNcBDH8/6twLLds2dPHZF4CWh5LpV4iScFNe4Tv//97/UJWwJFJmqp8cVNs6KlZVmGc8jXdkcsdaBJ/J9wkVZhCdLLcOihh+pGukx4a+86Es8UiXRPtvdskUlq7emYxFUeoFpb90pH9ZvK94qAa4uXHJchYf7vKHl/SStfRywlXTKHjp4tHV1HqX5PxuqaoAHqR1rG6onRIOMbZWyedAXKy1AMhf3331//gpLo0kIjRqm/qxi/bJJu891338W8efPw5JNP6gaTT8EJEyZg+fLl2Lhxo946oSYmYeLEifppWennvffe08c+ivuPL774Avvuu68vaVL/ir7XX389brvtNv368Skrrpik9dhnbMmLRIYsjB07Fh2x9KVP1l/h8tRTT0FNPtJVlG5E4SIujNq7jsQDQyLdk+09W6QlvD0dk7W+/fVq717pqH5T+V5pj5cwlfeS3EcSZPynDJeSVaQ6YqlHTuL/Onq2dHQdpfI9GcvLIaVXQpo/fz7EuLr//vubmP/zn//ERx99pBtU0mz/17/+FbJUl7RciVEhTfPy0hAXTqmylOKpp56qtwT7j4E95ZRTcNVVV+lGurSKFhYW6gbDnXfeqT/wpLvs9ttv1w1U4aVmAOO0005r4pzMG0888QSUR4CAMcPCR9xVff/99/oEJZlsI5PdbrzxRt11lfCQD562WCYzK59uysOE/vKU60bGUcoEQTWLXL8P27uOjH5PyktMniWij4T2ni28V9q+Vzqq31S9Vzp6tsg4R3H9tWXLFv3ZIl3vyruE/r7qiKXvHkzW3/aeLaJve9dRKt+TsbwOUtoAbQ+0dIuJw3D/STS+uNKVxnWcfTQaf8WYkq4fmd3dMsiAeBkXKl/hDM0EpEVMri9/o17OdsSyOXXybsl9F+x1lEj3ZEfPFt4rbV/X7dVvqt8rbdNqbP2UhhLfh49/vPZY+sdJ1u32ni0dXUe8J6N7NdAAjS5f5k4CJEACJEACJEACJNCCAMeAtgDCXRIgARIgARIgARIggegSoAEaXb7MnQRIgARIgARIgARIoAUBGqAtgHCXBEiABEiABEiABEggugRogEaXL3MnARIgARIgARIgARJoQYBTk1sA4S4JkEDiEBBH288880yTwDL7Vxxvi2/VAw44oOm4/4a4q/nPf/6DJUuW6G7VjjjiCBx22GFNXi9kpvCMGTP0Nd2nTp3qn1Tf/vLLL/Hhhx/qiwyIw2oGEiABEiCB4AlwFnzwzJiCBEjAIATEr6oslSsLIIj7Jln5ZNOmTfriCLKIhCyO4FuaUET+/PPPcc455+gLTYjhKUsUfvDBB/riE5988gnGjRunayZr0b/55puQ1Zj69OnTpK0YryNHjsTkyZP1ZWmbTnCDBEiABEggKAI0QIPCxcgkQAJGIuAzQMXZ9JgxY5pEk1Vgpk+fjnPPPRePP/64flxaNocNG6avjf3ss8/q/mnlhKx6JkaprPa1cOFCDBkyBOKndcSIEXpLqjir9gVZo14Wr1i2bBn9Afug8JcESIAEQiDAMaAhQGMSEiABYxM4/PDDIatyycoxska2BFklRhz/yzFZHMEX5Ng//vEPfWldWSpVQl5eHsRIfeeddzBz5kz9mBi1zz33HF588UUanzoR/kcCJEACoROgARo6O6YkARIwMAHfGNDly5frUn711VcBYz39RZdVY2Td7K+//rrp8LHHHosLL7wQ1157rb4U7WWXXYb/+7//g3TdM5AACZAACYRHgAZoePyYmgRIwKAEpEteJiWtWrVKl3D16tXYa6+92pVW4kvXuiwr6wvSImqz2fQxprKc7L333us7xV8SIAESIIEwCNAADQMek5IACRiXgKz9LJOMpDtdgsxYr6+vb1dgiV9QUBCwhrakfeCBB7Bhw4ZWXfftZsQTJEACJEACnRKgAdopIkYgARJIRAIrV67UxR48eLD+e9BBB+mul9rTRdwyHXjgga1O9+rVSz/Wu3fvVud4gARIgARIIDQCNEBD48ZUJEACBidwzz33YODAgbo/TxH1xBNPxKeffqrPdm8p+ooVKzBr1iy05fezZVzukwAJkAAJhE+AjujDZ8gcSIAE4kxg0aJFEB+dLpdLn/X+xhtv4L333oP8yjhQCWJcykx4MUTl94QTToDdbtcN0muuuQYXXXQRLr/88jhrwuJJgARIIDUI0ABNjXqmliSQ1ARktroEs9mMkpIS7LvvvvpqRTKz3T9cd911yMrK0ldCEqPT7XZj9OjR+N3vfofbbrvNPyq3SYAESIAEokiAjuijCJdZkwAJGJeATDqSlZMKCwuNKyQlIwESIIEkJUADNEkrlmqRAAmQAAmQAAmQgFEJcBKSUWuGcpEACZAACZAACZBAkhKgAZqkFUu1SIAESIAESIAESMCoBGiAGrVmKBcJkAAJkAAJkAAJJCkBGqBJWrFUiwRIgARIgARIgASMSoAGqFFrhnKRAAmQAAmQAAmQQJISoAGapBVLtUiABEiABEiABEjAqARogBq1ZigXCZAACZAACZAACSQpARqgSVqxVIsESIAESIAESIAEjErg/wE8gjFjkVoTCAAAAABJRU5ErkJggg==" /><!-- --></p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="co">## Live fuel moisture content</span></a>
<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="kw">data</span>(lfmc)</a>
<a class="sourceLine" id="cb4-3" data-line-number="3"><span class="kw">ggplot</span>(<span class="dt">data =</span> lfmc, <span class="kw">aes</span>(<span class="dt">x =</span> time, <span class="dt">y =</span> lfmc, <span class="dt">color =</span> leaf.type)) <span class="op">+</span></a>
<a class="sourceLine" id="cb4-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb4-5" data-line-number="5"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Live fuel moisture content (%)"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="co">## Soil water and plant growth</span></a>
<a class="sourceLine" id="cb5-2" data-line-number="2"><span class="kw">data</span>(swpg)</a>
<a class="sourceLine" id="cb5-3" data-line-number="3"><span class="kw">ggplot</span>(<span class="dt">data =</span> swpg, <span class="kw">aes</span>(<span class="dt">x =</span> ftsw, <span class="dt">y =</span> lfgr)) <span class="op">+</span></a>
<a class="sourceLine" id="cb5-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb5-5" data-line-number="5"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Fraction Transpirable Soil Water"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb5-6" data-line-number="6"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Relative Leaf Growth"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="co">## Response of barley to nitrogen fertilizer</span></a>
<a class="sourceLine" id="cb6-2" data-line-number="2"><span class="co">## There is a barley dataset also in package 'lattice'</span></a>
<a class="sourceLine" id="cb6-3" data-line-number="3"><span class="kw">data</span>(barley, <span class="dt">package =</span> <span class="st">"nlraa"</span>)</a>
<a class="sourceLine" id="cb6-4" data-line-number="4"><span class="kw">ggplot</span>(<span class="dt">data =</span> barley, <span class="kw">aes</span>(<span class="dt">x =</span> NF, <span class="dt">y =</span> yield, <span class="dt">color =</span> <span class="kw">as.factor</span>(year))) <span class="op">+</span></a>
<a class="sourceLine" id="cb6-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb6-6" data-line-number="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Nitrogen fertilizer (g/m^2)"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb6-7" data-line-number="7"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Grain (g/m^2)"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="what-to-do-when-convergence-fails" class="section level1">
<h1>What to do when convergence fails?</h1>
<p>The most common issue with nonlinear regression models is related to convergence problems. Convergence problems in nonlinear models can be caused by many different reasons. These are a few of them:</p>
<ol style="list-style-type: decimal">
<li>The model is not appropriate for the observed data (or viceversa)</li>
<li>The model is conceptually correct but there is an error in the formula</li>
<li>The model is too complex; a simpler model should be used</li>
<li>The model is too simple; a more complex model should be used</li>
<li>Starting values are too far from the solution</li>
</ol>
<p>Model specification (choosing the correct model) is clearly very important when using nonlinear models, the references above and this package are a resource that tries to alleviate this issue.</p>
<p>For convergence problems related to poor starting values there are some alternatives:</p>
<ol style="list-style-type: decimal">
<li>Try algorithm ‘port’ in function ‘nls’</li>
<li>Use an alternative algorithm ‘Levenberg-Marquardt’ in package ‘minpack.lm’ through the function ‘nlsLM’, which can be more robust</li>
<li>Use function ‘nls2’ in package ‘nls2’ which uses a ‘brute-force’ approach of searching over a grid</li>
<li>Define a custom optimization and use function ‘optim’ in ‘stats’ package (also ‘nlm’ or ‘nlminb’). This option extends the possibility of available algorithms.</li>
<li>Manually construct a profile of residual sum of squares as a function of the parameters to understand the relationship which might lead to a better choice for starting values.</li>
</ol>
<div id="some-common-error-messages" class="section level2">
<h2>Some common error messages</h2>
<p>When fitting nonlinear models some error messages will be commonly encountered. For example,</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1"><span class="co">## Error in nls(y ~ SSratio(x, a, b, c, d), data = dat) : </span></a>
<a class="sourceLine" id="cb7-2" data-line-number="2"><span class="co">## step factor 0.000488281 reduced below 'minFactor' of 0.000976562</span></a></code></pre></div>
<p>Although one option is to reduce <code>minFactor</code> under <code>control</code> in <code>nls</code> it is better to first check that the model is appropriate for the data and that starting values are reasonable. Another option is to use <code>nlsLM</code> from the <code>minpack.lm</code> package, which can be more robust.</p>
<p>Another possible error message is:</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="co">## Error in qr.default(.swts * gr) : </span></a>
<a class="sourceLine" id="cb8-2" data-line-number="2"><span class="co">## NA/NaN/Inf in foreign function call (arg 1)</span></a></code></pre></div>
<p>This can be caused by the presence of missing data, which your model cannot handle, or by the presence of zeros in the data that can generate <code>NA/NaN/Inf</code> inside other functions. The solution is to remove missing data and/or zeros.</p>
</div>
<div id="barley-example" class="section level2">
<h2>Barley example</h2>
<p>For background see: (<a href="http://miguezlab.agron.iastate.edu/OldWebsite/Research/Talks/ASA_Miguez.pdf" class="uri">http://miguezlab.agron.iastate.edu/OldWebsite/Research/Talks/ASA_Miguez.pdf</a>).</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1"><span class="kw">library</span>(nlme)</a>
<a class="sourceLine" id="cb9-2" data-line-number="2"><span class="kw">data</span>(barley, <span class="dt">package =</span> <span class="st">"nlraa"</span>)</a>
<a class="sourceLine" id="cb9-3" data-line-number="3">barley<span class="op">$</span>yearf <-<span class="st"> </span><span class="kw">as.factor</span>(barley<span class="op">$</span>year)</a>
<a class="sourceLine" id="cb9-4" data-line-number="4">barleyG <-<span class="st"> </span><span class="kw">groupedData</span>(yield <span class="op">~</span><span class="st"> </span>NF <span class="op">|</span><span class="st"> </span>yearf, <span class="dt">data =</span> barley)</a></code></pre></div>
<p>First step is to create the grouped data object. Then fit the asymptotic regression to each year and the mixed model.</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="co">## Fit the nonlinear model for each year</span></a>
<a class="sourceLine" id="cb10-2" data-line-number="2">fit.nlis <-<span class="st"> </span><span class="kw">nlsList</span>(yield <span class="op">~</span><span class="st"> </span><span class="kw">SSasymp</span>(NF, Asym, R0, lrc), <span class="dt">data =</span> barleyG)</a>
<a class="sourceLine" id="cb10-3" data-line-number="3"><span class="co">## Use this to fit a nonlinear mixed model</span></a>
<a class="sourceLine" id="cb10-4" data-line-number="4">fit.nlme <-<span class="st"> </span><span class="kw">nlme</span>(fit.nlis)</a>
<a class="sourceLine" id="cb10-5" data-line-number="5"><span class="co">## Investigate residuals</span></a>
<a class="sourceLine" id="cb10-6" data-line-number="6"><span class="kw">plot</span>(fit.nlme)</a></code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAJACAYAAABSeNRHAAAEGWlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9oU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvuuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTvYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8eUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiYMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpkhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thKbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpXzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477hLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549HQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgYhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjzhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VQNcC+8AAEAASURBVHgB7J0JnIz1H8c/i3Xf17pZVu77aF2RI0ehlJxFVP4pkVK5yVFEqSTpoFQUiQiVsyKUW0iOdbPu++b//T6PsTO7M2Nmd3bOz/dlzMxz/X6/9/PsPN/n+/seYbdEQCEBEiABEiABEiABEiABLxFI4aV22AwJkAAJkAAJkAAJkAAJGASogPJCIAESIAESIAESIAES8CoBKqBexc3GSIAESIAESIAESIAEqIDyGiABEiABEiABEiABEvAqASqgXsXNxkiABEiABEiABEiABKiA8hogARIgARIgARIgARLwKgEqoF7FzcZIgARIgARIgARIgASogPIaIAESIAESIAESIAES8CoBKqBexc3GSIAESIAESIAESIAEqIDyGiABEiABEiABEiABEvAqASqgXsXNxkiABEiABEiABEiABKiA8hogARIgARIgARIgARLwKgEqoF7FzcZIgARIgARIgARIgASogPIaIAESIAESIAESIAES8CoBKqBexc3GSIAESIAESIAESIAEqIDyGiABEiABEiABEiABEvAqASqgXsXNxkiABEiABEiABEiABKiA8hogARIgARIgARIgARLwKgEqoF7FzcZIgARIgARIgARIgASogPIaIAESIAESIAESIAES8CoBKqBexc3GSIAESIAESIAESIAEqIDyGiABEiABEiABEiABEvAqASqgXsXNxkiABEiABEiABEiABKiA8hogARIgARIgARIgARLwKgEqoF7FzcZIgARIgARIgARIgASogPIaIAESIAESIAESIAES8CoBKqBexc3GSIAESIAESIAESIAEqIDyGiABEiABEiABEiABEvAqASqgXsXNxkiABEiABEiABEiABKiA8hogARIgARIgARIgARLwKgEqoF7FzcZIgARIgARIgARIgASogPIaIAESIAESIAESIAES8CoBKqBexc3GSIAESIAESIAESIAEqIDyGiABEiABEiABEiABEvAqASqgXsXNxkiABEiABEiABEiABKiA8hogARIgARIgARIgARLwKgEqoF7FzcZIgARIgARIgARIgASogMo1cODAASxatIhXgw8JbNiwAfqi+I6A/g3o3wLFdwS+/fZbXLp0yXcdCPGWL168iO+++y7EKfh2+Pv27cOSJUt82wm27hUCVEAFsyo+7733nleAsxH7BGbPno05c+bYX8mlXiEwbtw4bNy40SttsRH7BHr16oUzZ87YX8mlyU7g1KlT6N27d7K3wwYcE1i/fj3ef/99xxtwTdAQoAIaNKeSAyEBEiABEiABEiCBwCBABTQwzhN7SQIkQAIkQAIkQAJBQ4AKaNCcSg6EBEiABEiABEiABAKDABXQwDhP7CUJkAAJkAAJkAAJBA0BKqBBcyo5EBIgARIgARIgARIIDAJUQAPjPLGXJEACJEACJEACJBA0BMJuiQTNaFwcSJMmTXDw4ME7W589exaafqNw4cJ3lvGDdwkcPXoUYWFhyJ07t3cbdqM1/VPRV4oUwfncFhMTgxw5ciBTpkxuUOGmrhBw9drZvn07ihUrhvDwcFcOy208TODatWvYtWsXSpYs6eEjJ/5wrl47iW/Bv/bk/dhz50NZdujQASNHjvTcQT14pJBUQFXR0XyH+q5y4cIFI/devnz5PIiWh3KHwIkTJ4zNVQHyV7l58yZUUc6bN6+/djFJ/Tp06BCyZMmCDBkyJOk43DkhgRs3buDYsWPIkydPwpVWS/bs2YOCBQsiVapUVkv50VsErl+/jv379yMyMtJbTd61HVWKT548iYiIiLtuGwwb8H7subOoLJ966ils27bNcwf14JFCUgFNmTIlrl69Cn2nkICrBFQB1UpBhQoVcnUXbkcCBgFVQFXBV+WSQgLuEFAFNDY2Fvnz53dnN25LAti8eTPat29vvPsjjuCcS/RH0uwTCZAACZAACZAACZCAQYAKKC8EEiABEiABEiABEiABrxKgAupV3GyMBEiABEiABEiABEiACiivARIgARIgARIgARIgAa8SoALqVdxsjARIgARIgARIgARIgAoorwESIAESIAESIAESIAGvEqAC6lXcbIwESIAESIAESIAESIAKKK8BEiABEiABEiABEiABrxKgAupV3GyMBEiABEiABEiABEiACiivARIgARIgARIgARIgAa8SoALqVdxsjARIgARIgARIgARIgAoorwESIAESIAESIAESIAGvEqAC6lXcbIwESIAESIAESIAESIAKKK8BEiABEiABEiABEiABrxKgAupV3GyMBEiABEiABEiABEiACiivARIgARIgARIgARIgAa8SoALqVdxsjARIgARIgARIgARIgAoorwESIAESIAESIAESIAGvEqAC6lXcbIwESIAESIAESIAESIAKKK8BEiABEiABEiABEiABrxKgAupV3GyMBEiABEiABEiABEggFRGQAAmQAAmQgK8JnLkE/PYvsPsYEJEZqF8KyC3vFBIggeAkQAtocJ5XjooESIAEAobA5v1A1SHA5N+B2LPA3PVA0T7A0m0BMwR2lARIwE0CtIC6CYybkwAJkAAJeI6AWjxrDAc+6wq0qR533NW7gAajgR96AI3Kxi3nJxIggeAgQAtocJxHjoIESIAEApLA0NnAy01slU8dyL3FgOnPAUPmBOSw2GkSIIG7EKACehdAXE0CJEACJJB8BFbvBp6ua//4D1UEth8CLl+zv55LSYAEApcAFdDAPXfsOQmQAAkEPIGbN4FUTu5EKWXdrVsBP0wOgARIIB4BJ3/28bbkVxIgARIgARLwMIFKhYEFm+wfdPFWoHAOIG24/fVcSgIkELgEqIAG7rljz0mABEgg4Amo/+eLXwPLJQWTtew/CbR8Dxj0MBAWZr2Gn0mABIKBAKPgg+EscgwkQAIkEKAEqhcFFr0KNJSI93bRQNkCwL7jwLdrgA86As3FD5RCAiQQfASogAbfOeWISIAESCCgCERLxPu/b5lT8XtE+SycU3KAvg4UjwioYbCzJEACbhCgAuoGLG5KAiRAAiSQPATyZ3McDZ88LfKoJEACviRAH1Bf0mfbJEACJEACJEACJBCCBKiAhuBJ55BJgARIgARIgARIwJcEqID6kj7bJgESIAESIAESIIEQJEAFNARPOodMAiRAAiRAAiRAAr4kQAXUl/TZNgmQAAmQAAmQAAmEIAEqoCF40jlkEiABEiABEiABEvAlASqgvqTPtkmABEiABEiABEggBAlQAQ3Bk84hkwAJkAAJkAAJkIAvCVAB9SV9tk0CJEACJEACJEACIUiACmgInnQOmQRIgARIgARIgAR8SYAKqC/ps20SIAESIAESIAESCEECVEBD8KRzyCRAAiRAAiRAAiTgSwJUQH1Jn22TAAmQAAmQAAmQQAgSoAIagiedQyYBEiABEiABEiABXxKgAupL+mybBEiABEiABEiABEKQABXQEDzpHDIJkAAJkAAJkAAJ+JIAFVBf0mfbJEACJEACJEACJBCCBKiAhuBJ55BJgARIgARIgARIwJcEAkYB3b9/P27duuVLVmybBEiABEiABEiABEjAAwT8XgH98ssvUbJkSTRr1gz33HMP3nvvPQ8Mm4cgARIgARIgARIgARLwFYFUvmrYlXYvXryI3r17Y+HChahatSp2796N8uXLo02bNsiTJ48rh+A2JEACJEACJEACJEACfkbAry2ghw4dwmuvvWYon8qtaNGiKFSoEBYtWuRnGNkdEiABEiABEiABEiABVwn4tQU0KioKffr0uTOWNWvWYNeuXahRo8adZfY+7Ny5E3v37rW3ylhGX1KHaLiCBEiABEiABEggCAjoLPL58+exePFih6MpXbo08ubN63B9cq7wawXUeuCqVD766KN48803UaxYMetVCT4r7BkzZiRYblmgCiiVUAsNvpMACZAACZAACQQbgZMnT+LYsWOG3uRobGrkowLqiI4sX716NVq0aIF+/fqhZ8+eTrY0V3Xr1g36ciQpU6ZEWFiYo9VcTgIkQAIkQAIkQAIBTaBAgQKIjIz0W7dFv7eALlmyBK1btzai3zt27BjQFwM7TwIkQAIkQAIkQAIkAPi1Anr48GE88sgjGDduHJo0aYLjx48b5yxDhgxIly4dzx8JkAAJkAAJkAAJkEAAEvDrKPgPP/wQZ8+eRZcuXZArV647r4kTJwYganaZBEiABEiABEiABEhACfi1Ajp8+HAjWMgSNGR5f+mll3j2SIAESIAESIAESIAEApSAXyugAcqU3SYBEiABEiABEiABEnBCgAqoEzhcRQIkQAIkQAIkQAIk4HkCVEA9z5RHJAESIAESIAESIAEScEKACqgTOFxFAiRAAiRAAiRAAiTgeQJUQD3PlEckARIgARIgARIgARJwQoAKqBM4XEUCJEACJEACJEACJOB5AlRAPc+URyQBEiABEiABEiABEnBCgAqoEzhcRQIkQAIkQAIkQAIk4HkCVEA9z5RHJAESIAESIAESIAEScEKACqgTOFxFAiRAAiRAAiRAAiTgeQJUQD3PlEckARIgARIgARIgARJwQoAKqBM4XEUCJEACJEACJEACJOB5AlRAPc+URyQBEiABEiABEiABEnBCgAqoEzhcRQIkQAIkQAIkQAIk4HkCVEA9z5RHJAESIAESIAESIAEScEKACqgTOFxFAiRAAiRAAiRAAiTgeQJUQD3PlEckARIgARIgARIgARJwQoAKqBM4XEUCJEACJEACJEACJOB5AlRAPc+URyQBEiABEiABEiABEnBCgAqoEzhcRQIkQAIkQAIkQAIk4HkCVEA9z5RHJAESIAESIAESIAEScEKACqgTOFxFAiRAAiRAAiRAAiTgeQJUQD3PlEckARIgARIgARIgARJwQoAKqBM4XEUCJEACJEACJEACJOB5AlRAPc+URyQBEiABEiABEiABEnBCgAqoEzhcRQIkQAIkQAIkQAIk4HkCVEA9z5RHJAESIAESIAESIAEScEKACqgTOFxFAiRAAiRAAiRAAiTgeQJUQD3PlEckARIgARIgARIgARJwQoAKqBM4XEUCJEACJEACJEACJOB5AlRAPc+URyQBEiABEiABEiABEnBCgAqoEzhcRQIkQAIkQAIkQAIk4HkCVEA9z5RHJAESIAESIAESIAEScEKACqgTOFxFAiRAAiRAAiRAAiTgeQJUQD3PlEckARIgARIgARIgARJwQoAKqBM4XEUCJEACJEACJEACJOB5AlRAPc+URyQBEiABEiABEiABEnBCgAqoEzhcRQIkQAIkQAIkQAIk4HkCVEA9z5RHJAESIAESIAESIAEScEKACqgTOFxFAiRAAiRAAiRAAiTgeQJUQD3PlEckARIgARIgARIgARJwQiCVk3VcRQIkQAIkQAIkcJvAyQvA4q3AnmNAzoxAo7JAwezEQwIkkBgCtIAmhhr3IQESIAESCCkC/xwEqg8FZqwBLl8DVu8GSvWV73+FFAYOlgQ8RoAWUI+h5IFIgARIgASCkUDMceDeN4BPngLaRceN8NVmQIWB5vfW1eKW8xMJkMDdCdACendG3IIESIAESCCECYycB7zYyFb5VBzFcgO/9AFG/AjcvBnCgDh0EkgEASqgiYDGXUiABEiABEKHwF8y3d6ptv3x1owC1Df05EX767mUBEjAPgEqoPa5cCkJkAAJkAAJGATCwgD551BS8k7qkA1XkIAjAvyzcUSGy0mABEiABEhACFQuDMzbYB/FHzuAjGmBbOntr+dSEiAB+wSogNrnwqUkQAIkQAIkYBB4qTEw6AfgW4mAt5YDJ4EmY4HhrQBaQa3J8DMJ3J0Ao+DvzohbkAAJkAAJhDCBMvmBv4cAVeX1vaRdqlIEOHhKPv8NjG0LtKwcwnA4dBJIJAEqoIkEx91IgARIgARCh0DJvECMWDt/3gzslkT0pUUp7SWW0aK5QocBR0oCniQQkgrorVu3cPHiRaRMmdKTLHmsICeg143l2gnyoXJ4HiZwU3L08NrxMFQfHC69OK09UsG2YbmVJKvcuHFDUjzdNO5ZydoQDx50BC5dumT87vjrwEJSAdWTcf78eSqg/npV+mm/VIFQ0WuHQgLuELA8vPDacYcat1UClocXXju8HtwloIY2y33L3X29sX1IKqBhklMjd+7cVEC9cYUFURt6Izhw4IBx7QTRsDgULxBQK9ahQ4d47XiBdbA1ce3aNcTGxvLaCbYT64XxHD16FClS+G+suf/2zAsnh02QAAmQAAmQAAmQAAl4nwAVUO8zZ4skQAIkQAIkQAIkENIEqICG9Onn4EmABEiABEiABEjA+wSogHqfOVskARIgARIgARIggZAmQAU0pE8/B08CJEACJEACJEAC3idABdT7zNkiCZAACZAACZAACYQ0ASqgIX36OXgSIAESIAESIAES8D4BKqDeZ84WSYAESIAESIAESCCkCYRkIvqQPuMcPAmQgE8IrN2XGh+tBmLPAlERQKsqwD15fNIVNkoCJEACPidAC6jPTwE7QAIkEOwEhs4JwyuzcyB7BqB+KeCkVHOtPBhYsi3YR87xkQAJkIB9ArSA2ufCpSRAAiTgEQLjFwHv/JwCa189hBLFChjHbF8DaBcN1BkJ/NIHqBnlkaZ4EBIgARIIGAK0gAbMqWJHSYAEAo3A9RvAB6KArhpwA+lT37LpfqXCwPsdAFVQKSRAAiQQagSogIbaGed4SYAEvEbg5AXg2nWgVD77TdYvDWzcZ38dl5IACZBAMBOgAhrMZ5djIwES8CmB8JTAFVFAHcnFq0CacEdruZwESIAEgpcAFdDgPbccGQmQgI8JZE0PFM4JzFlvvyNvzQPqlrC/jktJgARIIJgJUAEN5rPLsZEACfiUQFgYMPIx4MlPUuL3nWlt+jL8R2DWWmBAC5vF/EICJEACIUGAUfAhcZo5SBIgAV8RqFcSWPzqDTQYnQtfisJZIDvwz0FAA5S2vwnkyOirnrFdEiABEvAdASqgvmPPlkmABEKEQNUiwN99DuDg1QJGIvpn6gIaBZ+av8AhcgVwmCRAAvEJ8OcvPhF+JwESIIFkIJAhzS00iEqGA/OQJEACJBCABOgDGoAnjV0mARIgARIgARIggUAmQAU0kM8e+04CJEACJEACJEACAUiACmgAnjR2mQRIgARIgARIgAQCmQB9QAP57LHvJEACAUdg2yHg42XA5v1mEnrNA/pCQyBDmoAbCjtMAiRAAokmQAtootFxRxIgARJwj8AmUTqrDQXyZAFGSH7QV5oCP28BIl4ETknZTgoJkAAJhAoBWkBD5UxznCRAAj4lcPB0SjQcD8x8AWhSLq4r9UsBXT4DHpV1v7wCpJLynRQSIAESCHYCtIAG+xnm+EiABPyCwNwt6fFETVvl09Kxz7sCx8+ZCeoty/hOAiRAAsFMgApoMJ9djo0ESMBvCOw9GY469zjuTrVIqYx0xPF6riEBEiCBYCJABTSYzibHQgIk4LcEMqa5iePnHXfvmKzLks7xeq4hARIggWAiQAU0mM4mx0ICJOC3BOpGXcIXfwA3bybs4vq9wJKtQI2ohOu4hARIgASCkQAV0GA8qxwTCZCA3xGoXewKyhcEao4Qf08rS+jqXUCdkcCsHrSA+t1JY4dIgASSjQCj4JMNLQ9MAiRAArYEJj8NvPYdULYfEJkLuHRVXteAKbL8gbK22/IbCZAACQQzASqgwXx2OTYSIAG/IzDqcWBgC2DPcSBcUi5F5WbqJb87SewQCZBAshOgAprsiNkACZAACdgSyJgWKFfAdhm/kQAJkEAoEUiUD+itW7cMRleuXMGiRYuwbt26UGLGsZIACZAACZAACZAACSSBgFsK6MaNG1GxYkUsW7ZMIjlv4qGHHkKjRo1QpUoVPPvss0noBnclARIgARIgARIgARIIFQJuKaBdunRB6tSpUbBgQSxdutSwfo4bNw7z5s3D5MmT8eeff4YKN46TBEiABEiABEiABEggkQRc9gG9ePEi1q9fjw0bNiAqKgrjx49Hjhw50KNHD6RIkQLR0dH466+/UKNGjUR2hbuRAAmQAAmQAAmQAAmEAgGXLaCnT5+G+n7mzi0hmyILFiwwpt9V+VS5fPkysmTJYnzmfyRAAiRAAiRAAr4hoGEa128AZy9B7tu+6QNbJYG7EXDZApo3b17kypULEyZMQJkyZbBjxw4MGTLEUEq///57rF271lBI79Yg15MACZAACZAACSQPgcOngZenA4ulslZKsQ+lllRfA1sCXe9LnvZ4VBJILAGXFdCwsDC8++676Ny5M65fv44GDRrgsccew8KFC9G2bVt0794d+fLlS2w/7rqfBj39999/KFGixF235QYkEAgEtPzi1JXArlggW3qgaQXg8WqA/KlRSIAESMBtAheuAMVfA56rL78rowFN97X/JFCqL4wysMteh7jMuX1Y7kACyULArUuxQ4cOOHDggOEH+uuvvyI8PNyIgNfoePUJTU7p378/unbtmpxN8Ngk4DUCCzYBjccABbIBLzaSz+XEQvEZ0FBuGvZqhXutY2yIBEggIAnoVHuHj4FGZYC325jKpw6kYHbgvCy/fhP4YHFADo2dDlICTi2g586dM6Lb7Y19+fLlNosXL16MZs2aGQFKNiuS+OXUqVN4+eWX8dVXX6F69epJPBp3JwHfE1i5E2j9IfD3EKBk3rj+tIsWhfQlYMIS4IWGccv5iQRIgATuRuD8FWCV/Lbse8f+liMeBUbOA3rKAy+FBPyBgFMFVAOP+vTp43I/8+fP73EFVC2fGvyk6Z6++eYbl/vCDUnAXwl8Ks9uWo7RWvm09HXDMKDCANNfK11qy1K+kwAJkIBzAsfPAbkyi8+ng7t6kZzA0TPOj8G1JOBNAg4uVbMLmu9Tqx35UsaOHYt06dLh66+/drkbmo9U00U5EkslJ0fruZwEkpPA9sNArwfst5AzI5BHkknsE7+tEnnsb8OlJEACJBCfQL6sgCqh6geaIU38tYD+7kTmSricS4KXwJkzZ3DixAl89NFHDgdZv359n8XWOFVAHfbYzoobN25Ac4VmypTJztrEL1Ll0105fPgwNm/e7HA3VUCphDrEwxXJTEBvDqcvOm7kjKROyUDrp2NAXEMCJJCAQJpwoIn4knf8GPjhRdvVmpJJ3X4mdrJdzm/BTUANiPpypg9pdUtfiVsKqAYgDRs2zEjBZLGManT61atXsW/fPkPLbt26ta/GcqfdVq1aQV+O5OOPP5ZIY4YaO+LD5clLQIMEPpFp+PtKJGznp42AWkHzS3AShQRIgATcIfB+RyBvT6BMP2DmC/JZrKKbDwDtxADW7yFRTmu6czRuG+gENG+7ZifS9Jn+KG5FwT/55JOYMmUK0qRJA418z5gxo6HIbdmyBXXr1kXt2rX9cYzsEwn4FYHukiJlviiaZfvbRrzrsjbyO/FVN6Zi8qsTxs6QQIAQyCRpl06KpbO5GLX0t0R/Y/rNBAZJHtB+zQNkEOxmyBBw2QKqVk6NfJ86dSrat2+PJk2aQNMyPfHEE5g/fz569erFSkghc9lwoEkhoLn5Dr8H3D9Kot57A5ULA8fEd0un3uf2AqIiknJ07ksCJBDKBDQI6a3HzVcoc+DY/Z+AyxbQ2NhYyU94Ew0bNjRGVa5cOaxYscL4rOmXIiIiDEXU/4fMHpKA7wnoTeL3vsCaQcArTYFJnWWqbLgopaV83zf2gARIgARIgASSm4DLCqiW4kydOjX27Nlj9KlkyZJ3FFBdoAro7t27k62/am39448/ku34PDAJeJuAViQpIEmi65WU1EuFgHApmUchARIgARIggVAg4LICmjJlSsP62a1bN6xZswbR0dHYunUrpk+fjiVLlmDRokX0AQ2FK4ZjJAESIAESIAESIIEkEnBZAdV2NJeUBiAtWLAAZcqUMfw/27VrZ9SFL1q0qKGUJrE/3J0ESIAESIAESIAESCDICYgnmutSqFAhrF692sj3qXtNnjwZGhmvOTUbNGjg+oG4JQmQAAmQAAmQAAmQQMgScEsBtVBKnz698VFzaWoWfQoJkAAJkAAJkAAJkAAJuErALQVUUy9dvnzZ4bGHDh1q5AN1uAFXkAAJkAAJkAAJkAAJhDwBtxRQjXTXfKAWuXbtGmJiYrBp0yY0b94cOXPmtKziOwmQAAmQAAmQAAmQAAnYJeCWAvrFF1/YPcjixYvRuXNn5MqVy+56LiQBEiABEiABEiABEiABCwG3ouAtO8V/1wCkPHnyYOHChfFX8TsJkAAJkAAJkAAJkAAJ2BDwiAKqUfBaKenEiRM2B+cXEiABEiABEiABEiABEohPwK0peM0Dqn6f1nL+/HnD8nngwAHcf//91qv4mQRIgARIgARIgARIgAQSEHBLAe3bty8uXbpkc5Dw8HAUKFAAn376KSpWrGizjl9IgARIgARIgARIgARIID4BtxTQ06dPx9+f30mABEiABEiABEiABEjALQIe8QF1q0VuTAIkQAIkQAIkQAIkENIEnFpANbCobdu2LgMaPHgwE9G7TIsbkgAJkAAJkAAJkEBoEnBqAU2RIgU0+bzllS5dOixduhT79++H1oUvWrQo9uzZYyxT39CsWbOGJkWOmgRIgARIgARIgARIwGUCTi2gWtlo2rRpdw7WsmVLtGrVCjNmzIAqpxZZsGABWrduDUuNeMtyvpMACZAACZAACZAACZBAfAJOFVDrjc+ePYt58+Zh3bp1NsqnbtO0aVOUKVPGSMdUvHhx6934mQRIgARIgARIgASCnsAfO4Bf/gEuS8Xy0vmBFpWA7BmCftiJHmCcGfMuh0idOjXSpk2LrVu3Jtjy1KlT2L59u1ENKcFKLiABEiABEiABEiCBICUgtXjw1KdAz6+BDKmBwjmB2euAQr2BI2eCdNAeGJbLFlBVPps0aYL+/fsbvp7R0dFQn9AdO3Zg4MCBCAsLQ+PGjT3QJR6CBEiABEggmAhcFIvQiLnAgk3AsbNA0dzAEzWBp+sG0yg5llAl8MxkYMZfwJmPgJS3zXrPNwBGzwcqDwbWDwUisoQqHcfjdlkB1UNMmTIFnTp1QrNmzWyOGBkZiZUrVyJz5sw2y/mFBEiABBJDQC0KMceBbYeANOFAtUggc7rEHMn7+/z2LzB1JbA7FsiREWhWQZStGt7vh7+0eOMmkLsH0Lgc8OWzQD6JVf3noLhujQX+2gN83Nlfesp+kID7BI6dA75bI5bO9+KUT8tRXhVV6bCkT5/yB/Dag5alfLcQcEsBzZQpE2bNmoWdO3di48aNOHPmDCpXroyyZcsiVSq3DmVpn+8kQAIkYEPgilT77STTWat3AfcWA85fBpZtByZ1Btr7uSL3hdxo+nwLjHwM6HqfOf3W8WPgs+UpMLWjzTBD5ku3KUDGNMD3L8QNuc49wOkJQNSrgDLrVDtuHT+RQCAR2CoPyXo9Z0xrv9f1SwNf/2l/XagvTZTWGBUVBX1RSIAESMCTBG6KtaxoHyBnJuC/UUCqlObR/zsKVBoEnBVl9H/3e7JFzx3rly3A81OBnaOBPFbTbedFAVVFa9rfGdG3sOfa8/SRLsk0+RqxSJ6+ABTPA5SQl2U6MbFtXbsB/LRRzqUwiS96bic9Bbz/KxXQ+Gz4PXAIpAgDrsp17kiuXpffMZejbRwdJTiXO1VANfJ9woQJqFOnDmrVqoWxY8fi2jUxTziQRx55BCVKlHCwlotJgARIwDmBb9dA/MmBjcNstyseAWwaDtQdKVbQaP+cjv9kuTmdbK18Wkaxot9NlB+YBS+3BFI7/dW17OHd9x/XAz2+Au4RpTO3KP9/7jTb3yK806dOfF90+jGbRAFncmAdKplXXBWOJf743JMEfE2gYiHTVejgKSB/toS9GbsQ6Cj+zpSEBJz+FKoCOmrUKCPASBXQMWPG4PLlywmPcntJqVKlqIA6pMMVJOB/BBZvBVRx2nHEVDSalgdebgKkFb9LX8jS7eb0tb22i+YCyhc0/QYbyLSWv8muWNNX1V6/1KKbLf1NHDqdAkUkQtafZMM+UeonSvoYsTzXjIrrWeMxpu/mwXFAlkT636oP7InzgLpVqC9vfNl7QoIzGDoQHwu/BxABfbjqLfHXJV4Hdr1tez23laCkTfslQp4uJnbPqFMFtECBAtAUSxY5fPiw5SPfSSDZCeh0bKw4eB+XG1ih7KYVRa1jFM8QmLYK0OjNiZ2A6o/I9PYl4MWvgTfnAUlROpLSu6uiqDjypdLj6jpVZvxR1M/xpExf2xMNqjp7OYVDS6C9fbyxTP/GOn8i0+SSLsZa+dS2f34FeHYKMH4R0L954nqj1tMaotT2/x4Y0zbhMTQQaVirhMu5hAQCiUBveWhXd5Uy/YDmFc171erd5oO8/pamS8IsQiBxcLevifJMuKW/piJXrlzBokWLjOT07jbM7UnAGQGNfq73lty8ZCr26c9kavA1uVF+CugNk5J0Amvkx1GVz60jzekhnXqtGgmsHAA8WAF4cpJvWJfJD/z+r/3xXRc/q1//AcoWsL/e10ublDOVNXv9GDU/DJE5rhlR8fbW+2rZAbEvXBKFvq4Dz6lOtYAlYiVPrOgDoz7gTFwKPPy+GVCmx9Kp+Q5iddXrrtcDiT069yMB/yHQU67jLSPMbA86Lf9eB2Cx+H4ndvbAf0aWfD1xSwHVyPeKFSti2bJlogjcxEMPPYRGjRqhSpUqePbZZ5OvlzxySBHQtBbVhgKPVhP/MJnSWDUI2CPTgerIXWkwoDkFg0n+PQJ8IFYmtTzOWgucu5z8o9M0QSMeFctyjoRtTfuf+GDuEyXhTMJ1yb2kQw3gB2GgaUviS9buQKl8QEGxhvujvNgIWLfX9KVUZdkiOpY3f0qB9x49YVnkN++XRflUy60j0XXOAiwc7We9XH1iNUVNOpmC1wCz/L0ku8Eb5nlcI3/b8Wc11L6hgRu37RzWh+JnEvBrAnqtt70X6HIfEF0sLojSrzvtw845nYKP368uXbpAKyIVLFgQS5cuNayf48aNMyLiH374YTz11FOoUUPuIBQSSCQBvemoP9oLDaSqhNzQLaJTGJ91BVp9YPosWq+zbBOI7zo1qVPhj1ZVH0HTgqbWR1W4c2VKOKK1McDy7aZSUF4sgQ3LJC6oZY8Efmib9iSFKPqq6O0Un0Z7TvX29vHUsnzixL+sr1g5+5uWUPVJPX9FkjyvAWoXB+bLVHF8hcVTbSf1OOoesEks9mrpKyj9LJEXOCpKfAZR4pa9fgMRqay0UieNqYuB+mXuOS4+mOIfqTeypAQCOWnKeAA5etbsp71E2T9vkZKCci0kVZTNN/JgozlB9XyqVSj+eVT3hVe/lan/zeZDpvrNvv6gzHzUTrhtUvvD/UmABHxPwGUF9OLFi1i/fj02bNhgKJzjx49Hjhw50KNHD6M2vFZG+uuvv6iA+v6cBnQPzogf4pYDwMKX7Q/jtWZmnsVgUEDHLACmrzaVFovfY7/mwMBZpsvB9jfjqmeoYt5FXBE0cXfLyqY1qd9M4PEJojyIwqNKjjuiwSE6DepIdJ1u4wvRIJ0db5m58+ZvkuAV+ZV6UpSQR6tAfmuS1qP5G820P5oIPVyOq1PPmrMzb9akHdeyt6YWmisWPrXia4CNMiycQ9bK+Tt0yLKV4/e9x2Wc482HClX89Bgakf7nQKCcPHB4WjTYTHNwNntHrq3Btnw1D+sbc0T5f16mEmUaXh+QyhUUbjLGxIgqnMonqxwnvqjSrWUL20WLFVmso/rwZUm99cUKcQOQqcyknvv4bfI7CZCAbwm4rICePn1apkRuIXfu3EaPFyxYYEy/p7j9q6DR8VmyiP2ZQgJJIKCBMNkzOM4/mEssQqcuJqEBP9lVk6vrlLv6DFmUT0vXNChD109aLspoC3Np6w9FKd9sW+ptgKxTxaGuKKq/93PP0V39Fd/7xZwuim+JUiVNI5dL5rH0yPvvagntIw8bnhRV9p/+XBTbbuJfXEp8H6+apfKKvyal8kTp0VRPnhDlqZZLfVnkxg3LJ8fvqrSWEcuvnnPrqilaU1p9oTUoqFZxx/snds1wud52HpXUVs+ZgULa7/XiSqAJ4isXAbp/aSqesWcAdRf5XfpYNn9iW0u4nz5cPfWZqWB/8lTcej0fmkO1+lBxUVlsOyMStxU/kQAJBCoBl+0JefPmRa5cuYy8oN9++61RA75FixaGUjpz5kysXbvWUEgDFQT77R8E1BKlU3Ea+W5P9Mao6XgCXTTtkQbcOLK8aSDQ32LtVNGSlKp8nhQlNH5icJ2SjhQeM/8yt3X1f7U06ZRrJpkW1WliFVUEtGKHWlV/E4XWkgTeXBvY/28+YCqfqvCrBVmngNVf6512ooS2kTELW/WH9KUMmW1aAK2VT+3Pw9LfT7sAA75Pnt6pwvxtd9PSqcF/c0Th1RuD/h1qiiT1w/6xp+mLrYnjo9+Q6+Nfz/VF/T3VwrpYHgTsiZ6j2WvtreEyEiCBQCbgsgU0TH6l3n33XXTu3BnXr19HgwYN8Nhjj2HhwoVo27Ytunfvjnz58gUyC/bdDwjo9J46cTcYlTAZ+WmxfHb6xPQl84OuJqkLouvprKxDUWXQIhrY0qqKY19PtWb+HSP1xmtZ9nDtfY4oFTqNX3WImdhd3R+iIoClr5tKrWtHCYytZv0NvNIUdnNwdq8v15Qo3vpwoymDnIlahjWDgCqrOiWuvDwl6tur58SetKluBjdpAF5y+YOqv62+VEb9ZD4g6fS7tbSuZk7Ba7nRVQM945upTHVa3tG49AFLk3xTSIAEgouAywqoDrtDhw5o2LAhjhw5gvLly4sTeZgRAa/R8WXKlAkuMhyNzwi83cZUijLKVOmsHmIlzCJT1QfNHJUaud2iks+65rGGtQJMzDHzxmov0Een36sXNZtTZdRKH03QBw3sSKyo/+PQR8Q/UW7wGdJKCcyMiT2Sf++3/6QZsOWol3o+1N/SmQL6zkKxmP5sJptXn1tNYxWZ07QMxrdMO2rH2XK1BDpSwtRKqb6wzrZxdmx312lZ0bFt7e+lFtne08xrt0B2+9u4s1SDjc7Iw6Vmf7BXMUlnC+xla3CnDW5LAiTgfwR0psUtiYiIQNmyZbF7927s3bsXWbNmRenSpd06BjcmAWcEdOpXffJGPW4GjDwzRaYA1wNfPiN+YA842zNw1qkCo2l7tHqGWnatRadiF2yKq3leLdKc8nQ0RfzxUklrc1tZtT6Oq5/V6lxYFKlgVT6Vg063a4CPI9GIf0fuELqPujgM+kEszUMkTdSLwFfycKTBX9sOS97UdwDrtEuO2rjbcg3wWbrN/lYaFa9WQnsKmv09krZULa2ZxU3BkWhA0gXZxhOipUnV5aSr+IHGF83723wcoJZXCgmQQHARcEsBvSGe9CNHjjSUzqioKGgk/KpVq1CvXj3DJzS40HA0viSgFp/nGwDzXjKn+qY9Fzc96Mt+ebJtDbJRf78ir0gy7m/EEimK50PvitVXpot3jo6LQlfrz0MVgQLC4toN2x40l+01MOQx3qBtwcT7plZztSrb8y2eusL0t1VF357oFLEWQfj3LVORtWyjVk8NktFr9Yd1lqWJf+/R0Kw8pBH61qKWwdojzIcvT1harY/t6LNG4K/aZX+tBkvFnjWrk9nfwv2l4zpIii156NL0W5oiTKPi1SWiRF8zJVu3+90/JvcgARLwbwJuTcEPHz4cmvezW7duRjomHVrhwoVx7tw51KxZE0ePHkXKlGJOoZAACbhEQCOe20dLHW6Z8tTI92frif9r6YRplcZ3lGTeZyQVTnfTMqp5UTUQ5LpYiDTJt1qRKI4JqDuDVtwp8rKZ4qv2PeZ09peifKryrxZ3R9PfmvqqURnHOVE1n6r6bybVSlevJPCdnF9N0q7WcfUxPXDSzHvb7yGZ8q/reHyeXvO0tNXobVF8hVP8PKCR8sCkfrOeLC+oll0Nsnt9BtBkrDwoiJKrwYbaDislefrs8ngk4B8EXL5taQqmMWPG4Ouvv4ZGvz/99NPGCFQBXb16NfLnz48///wTtWvX9o+RsRckECAEiuUGnpMbrTNRK9v3L0jO0P2m4qmWUFVe64rSkti8jM7aC8Z1amHUqWP1X9Qp9xTCtEYxM4WVsxRMao1zpJwqJ3WncOQe4S7HZjIVrfk4tRqURoZrpoIvnnHum+puG65sr76wGoCkKZA0Gbwq8Gr5/HAxUL+0mTnAleO4s40+RGnEu74oJEACwU9A/uRdk8OHD+P8+fOGpTP+HuHh4UaJzpUrV1IBjQ+H30nAgwTKFwT0RUkcgY41TYvzzVvm/q6kmtLa8y+J0qrBXvamwOes96yCqFWo9OVr0Yj4FTIl/tWfwEdLzPy8LzVOuqXX1+Ni+yRAAv5BIIWr3ciTJw/SpUuH2bPFUS2eaFS81odXayiFBEiABPyZgNbOUMXTFeVTx6FTweofWn5AwlGN+1n8lDdI/s57E64LhiUVCgGalUIDr7QUblLdDIKBCcdAAiTgGQIuW0C14lHXrl3Rr18/qDX0+PHjhr/np59+iokTJyJnzpxo3FgejykkQAIkEEQE1P1h6rNSKek1iZTvCWilKp2S/32H+O7+Y5YNta56FERD51BIgARIINkIuKyAag9Gjx5tTMMPHjzYqICkyyZNmoTixYtDqyFpSiYKCZAACQQbAfVP3CNBORrtvkwCjq5cNxO1aw5VKp/BdrY5HhIgAW8QcEsBnTt3LjQSftCgQdiyZQtOnToFTcdUtWpVpE4tJgEKCZAACQQpAZ2614h3fVFIgARIgASSRsBlBVQDkJ544gmMGjUKvXr1QmSkOEVRSIAESIAESIAESIAESMBNAi4HIaVJkwaZM2fG6dOn3WyCm5MACZAACZAACZAACZBAHAGXLaCaamnAgAHo27evkYS+XLlyyJYtW9yR5FPz5s0Nf1CbhfxCAiRAAiRAAiRAAiRAAlYEXFZAdZ9hw4ZJ2bkw/Prrr8bL6jjGR52W14AkCgmQAAmQAAmQAAmQAAk4IuCWAqqplygkQAIkQAIkQAIkQAIkkBQCLvuAJqUR7ksCJEACJEACJEACJEACFgJUQC0k+E4CJEACJEACJEACJOAVAlRAvYKZjZAACZAACZAACZAACVgIuOUDatmJ7yRAAiRAAq4ROCyZ6xZuCsO/+zOjXFGgURlWT3KNHLciARIIZgK0gAbz2Q3SscWeBT5dDvSbCYz6Cdi4L0gHymEFPIEFm4B73wD++A9SvlgU0c1A0T7Amt0BPzQOgARIgASSRMCpBTQ2NhZt27Z1uQGtEV+3bl2Xt+eGJOAuga2HgIfeBeqXAioUAlQZrTUC6NMUGPywu0fj9iSQfARW7QJafwj83g8oX+AWDh06i4IFs2DJNrl+RwGLXgWiiyVf+zwyCZAACfgzAacKaAopfhwREXGn/2fPnsX8+fON+u+1atVCqlSpsHjxYsTExCA6OhpZs2a9sy0/kICnCew+BlQfCnzeFXi8etzRVfnM1wvIkg7o1ThuOT+RgC8JDPgemNQZqFQYuHEjrif68DThSWDkPODHnnHL+ckzBNTSfPEqcPwckF9qpaRK6Znj8igkQAKeJeBUAc2ZMyemTZt2p8WWLVuiVatWmDFjBlQ5tciCBQvQunVrpE+f3rKI7yTgcQLv/wo838BW+dRGMoviuWm4WJXeAp6rD6QJ93jTPCAJuEXgxk1g/V7gsd72d2teEegvLiQUzxI4cBLoPhVYLdbnHBmBE+eBAS3kd0N+F6xuWZ5tlEcjARJIFIE4LfIuu6v1c968eRg0aJCN8qm7NW3aFGXKlMHChQvvchSuJoHEE1gXk1D5tBytaC4gqzz/7JcbkLdFb3IaaHLdysrl7T6wPf8joAqPFI6zK7qcCpFdNIleePYSULKvuOYUBA6Im87WkcB/o4C+M4AC8iBw+VqiD80dSYAEkoGAywpo6tSpkTZtWmzdujVBN06dOoXt27cjT548CdZxAQl4ikBKuVqvOVHyrovVyZs39ZU7gTpyk6swELhfbnT3vAaMmOup0fI4gUxAr9VyBYCfNtofxfTVpg+z/bVc6i4BnXbv9AnQqoqUjG4FhN+edtfZkfMfA1XEDeKz39w9KrcnARJITgIuK6CqfDZp0gT9+/eHTrmr0nn58mVs2rQJnTt3NmrEN25MB7zkPFmhfuwaUcCsv+1T0Eh4VU4LZbe/3tNLNRjqgbeBHg3F6voOsP1NYMnrwJvi1/eCTAFSSKDfQ0BHUX7Wxdiy0AeXV6YDQ1raLue3xBNQ6+aK/yQ7Rhf7x9AAxa//tL+OS0mABHxDwKkPaPwuTZkyBZ06dUKzZs1sVkVGRmLlypXInDmzzXJ+IQFPEnixERAlkcNqXXqzddyRY44DtcUS+V137wQcXJGbnb1gqCI5gVMTgGpDAE2/07R8XB/5KfQINJR8n3MkyOg+eThpUz0MOdNmxrHL8qAik0g/yZRw5SKhxyS5Rnz6ogQhigtOagd3NA1G0qAkCgmQgP8QcPDnar+DmTJlwqxZs7Bz505s3LgRZ86cQeXKlVG2bFkjIt7+XlxKAp4hkCcLEDMWKPIy8NsOSb8UZaZh0tyKb7fxnsK3QaytmgLKOhLfMkKd+tNAKJ16pQJqoRK67w1KAzskOE4fSHbsF1eNkhL9/hig1zLFcwRyZZKpdlHu1R9bg4/iy+YDkn9V/MQpJEAC/kPALQXU0m21eIaJF72mYcqbNy9SppS7LoUEHBDQKUhVEjVIoLi4CbeoBOgNIzGSU24uxz6Q3IqigO6KNVPcvPW4d2/ox+UmV0AsKo5ErS3Ltjtay+WhRiCfXA+da8flAQ218XtjvJpqqc29wIPvAqvEJ9tarl4X31D5zZjYyXopP5MACfiagExmui43JJndyJEjjXyfUVFRGD9+PFatWoV69ephxw7RCCgkEI/AS98A7SZKhLgECOUX/8yfRRGNfEUsmTJtnlhJl1r8L8ualsZ20d5VPrXPaklRi4ojWSfpdyJpbXGEh8tJIFkIjJYHUbWAZvofoH62e+U3Zv5G8/dm6CPij1szWZrlQUmABBJJwC0L6PDhwzFu3Dh069YNGzZsMJosXLgwzp07h5o1a+Lo0aO0hibyRATjbsN/BH7ZIqUyhwFpb+fm1KAdLaNZtj/wzwigcM7AG3nxCCBC3J17fAV80NG2/9sPA6Pnyw1wgO1yfiMBEkheAur/+a/4245daJbpVZ/PSPl9GdNWHoLlQZVCAiTgXwTCbom40iXdTIOMvv76a7Ro0QJPP/00smXLhrfffhvXrl1D/vz5Df/Q2rVru3I4n26jSfT37t1LZTkZz8LFq2GoOSYCv/SIRe5MYv6MJ28vyoQbN8Pw+gNn463x36/6N3D9+nWEh4fj5IUUiB6TBzUjr+DVRmeQIc0trI5JgwFzs+LDNifRqORl/x0Ie+Z1AtbXjtcbZ4PJTkDvoicvpkDmtDeRSuYVHeV/TUxHeO0khhr3UQLbtm3Diy++iH/++ccvgbhsAT18+DDOnz9vWDrjj0RvyBUrVjQi4QNBAdX+a5Un+q7GP5Oe+77lQBiK5gZKR8q8ux1pWTUMI39KKedB5tMDRPRGcOTIEePakcsH+8ZcFWtnKvSbl1NSQIWhRJ5b+PHFa6hdXBxVoS8KCZgE1H3p+PHjxrVDJsFDQNM/9f8+Jb5flwJp5G564YoGmt3CpE7Xoa5CnhB96D158iSvHU/ADLFjqJFQ43X8VVxWQDXJfLp06TB79mzD+mk9IL0pL1u2DF27drVe7Lef9YRoYn0qoMl3isLlx/emWAWUsz0R46eRLNrRenv7+HrZzZs3jT9mS5+zy9Dekuj7ONE/dLfcquN25aegJqAKqIrl2gnqwYbI4LTcaqlXpQBFHrMUsAZIqgL6yPthyP9yauwZk/hgS2uEer+y3LOsl/MzCdyNgBoHg0IB1WlrVTD79esHtYbq07wqcJ9++ikmTpxoPJ0xEf3dLofQWV9CfpSPiQ+W+kSWzJtw3FrXXRPLU0ggmAjsOCJR2LvMh69KkqpL03VRgpPAMPFx19yjS1+PG1+GNOL33kdqz08Fen4tye+7eXY6Pq4lfiKBwCfgsgVUhzp69GhjGn7w4MHQ6UiVSZMmoXjx4pg5c6YRHW8s5H8hT0ADAvo3B6oOET8UCQwoaDUT/+q3wCJxSfnimZDHRABBQkB/Drt/aWZ5aFTWtO73ketc832uHypKSJCMk8OII6C5Xb+RiHt7ohH5mu1DraSaIopCAiSQkIBbCqhOwU+ePBmDBg3Cli1bjHKcmo6patWqnFpKyDbklzxd1/zxLdUXaF0NyJ4B+DsGuCjTVLukjGWWdCGPiACChECbCZLyRxSSkx/GVeN5vwOQ+Tng4feBH14IkoE6GIYmgf/+b1G295nKd63iku+3ojikBLFHytEzkg/Y6sHaGo1aQtOLi85pyX2sU/MUEiCBhATcUkB1ur1ly5bQRPT6spYePXqgY8eOuPdeyQZMIYHbBDpLUoQm5WSaapuZiP5BuSnVjIpLy0RQ/kFAE+fPXS+VpcRtQvOcPlYVKFfQP/rm7734V6bd4yuf2mdVvs5NBOqMBBbL9V9GEtIHo2gZTB1j2fwSgFMK0MTvL34FdPkMODwOSBMejKMWC6f8nWw7JGO/J+H4Ys+a1s8c8tBNIQESsE/AredTDeePjo42QvvjH27u3LnYt08efykkEI+ATkNqHr5u9wP15QZlyQkabzN+9RGBwT9IUv8vzJysraqYVusaw02Llo+6FFDN/rkTeLJWnOXTuvMagKqVv/7cKR+CUNTyWeAl86Fymlh7n60HvNBQMkS8A+TLKuVqxTJ821sr6EavpXj7z5QiG2Z8mc34ivaRh7hq9P+0gcIvJBCPgFsKqO6bNWtWIxXT4sWL4x2KX0mABAKNwAeLzMTd64aK1aqRRPCKAjqwBbDhDaDTJ2K52xpoI/J+f1UBCXfi56frbpgu897vXDK3OEes5lUjgY87xzV08oIUaJDrKroYsHoXMGq+fSUtbo/A/PRcffOhLWt3YPm/MnsgVs+1MfIwMkkKVchD99i2gTku9poEvEXAbQV0ypQpePzxx9G0aVMjAt5bHWU7JEACniWgARIT5Dly1SAkyFkYFSEVq7oA40WRoDgnUFEi3dXFxJGl7+s/JRq+oPNjBOrajftM/25L/zXzRY1hZqnaBqVNNw69hlRJu3TVslXwvE991qy09MZsUbjfMKPfNS3TNnFJCGb/1+A5gxyJLwmkSkzjH3/8seED+uyzz+K///7DW2+9xZyaiQHJfUjAhwTOyfSpTqGq7549qVsC0Ol5inMClQsDRcQf8J7Xgf9G2W7b8j0zFdlDFW7heKztumD4Fi53kCvXzJGcuWRGfr/UGBjWylymFnT1A/9QHnRafwjM6QmkdNvs4d+k/nc/oC8KCZCAewQSpYBqE6+//jqKFCmCzp07IyYmBqlSJfpQ7vWYW5MACXiEgKbKunxdclaKJdSetea8ZCvQbSjOCSi7mc9LqrHepj9krwfMKXkNPDp8CjgiSmiwcqwt0e5vzgNU6fz+L0AfWizKpz7cTF9tunS0jxZr6ADTMqoWYwoJkAAJJOlZtG3btvj111+xaNEi7NixgzRJgAQCiICmiSlfQHIZrrLf6WFztKyg/XVcaktAFUyN+P7kKUAtgZpN4ImawO/9pShrWtttg+lb47JmOrVM/zOVSw24Urko0+15xNrZpY7pJ6nBWLXvAbYcMNfzfxIgARJwy76hSecLFJA7lpXUqVPHqAE/YMAA5M/vYC7Pant+JIHkIKCpX9QPb+N+0/p0n1hiqhRJjpaC65hvPS5K5ltmtG6HGnFjGyo+bbPWAvslmpncWb1iAABAAElEQVTiGgG1hDYtb75c2yP5tzp+XnKQynncfkjyUqYBGpUB9G/DU6Jjni2K5r1vAJ//Ju4ccntYudP8W+xeX4qXtIlrSX1Ag9USHDdKfiIBEnCVQJhUNArS+EzHCLSE6NWrV+m36hhRQK3Rqb6moiilkpuh5iG8LD5pWurzoYpi3etmf3o5MQPUWvAHDhxAoULBNYeoeSyrDAYqqS9jTjO3oVZv+f4FIH+2xJDiPvEJaC34Q4cOoWBB70Uj7Tshac/EJ7VeSTNS/ZxYZoeKVbuZKMnTn/Pc34VlrJ8sB8b9LH7DD5tldq2rn6kiXORl00c2b1bLHnx3hcC1a9cQGxtLA48rsLiNDYHNmzejffv20Hd/FKcW0LNnz2LChAlQK2etWrUwduxY6B+DI3nkkUdQooQHH68dNcTlJHCbgFo+dapPfc9+Eh88i6gfWha5yeoNd+gjlqV8t0egRB7g+HipYrMXOHrWTERfKp/z1EL2jsNl/kPgyBmgdD/TAqmWSIv0bmL+XYxeIH78D1qWeub96fskIf9GMwH96QlxxzxxW/nU9qh8xnHhJxIIdQJ3VUBHjRqFMHHgUQV0zJgxuHxZzE0OpFSpUlRAHbDh4uQhoOX/VIGyVj61JY201bKIJV43k4QXy5087QfLUbU4QI2oYBkNx/HZb2Y1K2vlU6no38Xh94CS8nehpXI9WSZS/TzVat54LJBD3tXSekUeEDUX6GuifA5owfMSaARijmsRBQlUlHlSnSEpLQ+mnpAN+4AFm6RSmKgTJfMCzWW2KlsGTxyZxwgkAk4VUPX3PHVKwjhvy+HDhy0f+U4CfkFgnVjt9EZqT9TfTCsv/R0DUAG1R4jLgpWA5ufU9Ef2JFNaCT4TT4CtBz3rD6ptqU/or30AVVw2HxCFV5TSSU95VtG1NyYu8ywBdczr9Y2kzVonv6GSz1Vdcl6YCjxc2cwPnJRUWj2/lmvkH6mSVd1M2K9GhO5fAjvekupZ2Tw7Dh7Nvwk4VUD9u+vsHQmYyb/16dyR6LrQ83J2RAPYJEFak3+XH/sjZlBKk3JS8aiWeYNxvBfXBBoBVRjU+uhI1HVFt0kuUV9ifVECk0DXz4Hv1piuOZbSyROfBDKLW9OpixKgKBZufdhwVwZ8DyyRYFGttGYJSOvZyPQdLt1fHopGUAl1l2kgb+9UAVXHZ0215KoMHjwYdes6MEe5ehBuRwJuENAygNNWSQWSBgl30pvsjL8kD2HLhOtCcckfOyQwa5xMhTYXS0YVSRckN5IeXwGDZgG73gYsNxprNhckF+i1G4BazZJi9bA+Jj8nP4Faxc0sBlpaNb7sPibT4ruDtzpT/PHyu3sE/jtqKp8nxC88TXjcvqpwnpsI1BIlcel2QCtduSNnJQhOCxL8NzpO+bTs36sxcOi0lHRdRp99C5NQeHf6DJNCrriIiIg7r3Tp0mHp0qXYv3+/EQlctGhR7Nmzx1h26dIlo058KEDjGP2HwCMyJXRUAi7qvmnbJ63Pnf154NGqZlCN7drQ+6bToU3EN2+RTI++0tQM2tKcjXtlmUa6PzPZ1lKsta3vGylWrFeAMhLMUmEgMOWP0OMWqCPW6fe/9pgptqzHoH8r5QeIxak9kCGN9Rp+JgGTwIr/gI41bZVPCxv1820pvxu/ye+Du6LZNioUcuyO0bicBELuc/eo3D6QCTi1gObMmRPTpk27M76WLVuiVatWmDFjhpjf43TXBQsWoHXr1kifPv2dbfnBOQGtPqPJqtUaoYEA6qNIC5NzZvbW6hP60teBXD3MqN/HqpmlAX/aaNao/ryrvb1Cb9kXojz2EcVTLcbx5Q+Z+iomiqlejxGZxWdWFJcH3wG+eAZoJRY0vemsixGFVJT8YxIl36dZ/CPwu78RUOVy/VDz76JkX9NapRYozZX7xiOO/ab9bRzsj/cJ6MN7Gieagc6UnL3sfr/UH1hnUxyJrtNtKKFDwMllZgtBUzLNmzcP69ats1E+daumTZuiTJkyWLhwIYoXL267I78lIHBapj6f+hRYG2NGAB6QOC/NXfm7WJqYdzEBrrsuSJda/JImAMtlWkgtffps9KUoT5WL3HXXkNng38NSLrGJ/eGqL1aZ/DI1JhYKvbnUe0uSl4tC36hs3PbKUpPSVxli5lq1p8jGbc1P/kBA/y40HZIG6m07BOj3MW3Nhwx/6B/74J8E1EqpU+XqO68Pn/Fl2mqgd+P4S+/+vWQ+YN9xYI8YXSJzJdx+/CLPB8UlbIVL/ImAywpo6tSpkTZtWmzduhUVKlSwGYNGym/fvh158uSxWc4vCQmoolngJUCnP/eMibN6GumEXgdWiDVKfwAo7hEIl4CKhmXMl3t7hsbWmdKJkn7B8Vj1oUj9PFftNKfnrZVPy16aJqXrfcA8sS5TAbVQ8e93DTSqXtR8+XdP2Tt/IVClsAQCSbGASoMkWGiYba/aTzTLqVpKrtqudf5NS//q7Ek5cQHZNdqMgLfsoRH3y7ZL4ZD/WZbwPRQIuKyAqvLZpEkT9O/f3/D1jI6OhvqEag34gQMHGrlCGzdOxGNRKFC2GuOon+QPsEDCPzT1VTwpCsLL08VP71WrHfiRBDxAQGt2a6lEvc7ii+Zp3HvCLKOopUwL5Yi/Rdx3rW6jeQEpJEACwUlAZ5BmyQyIujUVFR/wnnJb1wf8JVtFcYyVYCEJZLQXsOgKjRcbmVbVUjLbp+49+lCrvsoXJdgxZqxE2cuDMiV0CMil5rpMmTIFFStWRLNmzZA9e3ZDAVVrqJZ5WrlyJTJnFgcyilMCCzfL9MYT9jfpWgf456BEJ4uvFiV5CaglWn/41Jk+Vvwag13a15Af+atA248ArcltEfUJbCDWiJ/EKq8+yDo1tl2m6x2JpnGKinC0lstJgASCgYD61qtb0zvtpXCBuIjptLkqjOovnlQlsUdDcZUabpaILSq/NwNbmO5nniyKEAznIBTG4LIFVGFosNEHH3yA0aNHY+PGjThz5gwqV66MsmXLIlUqtw4VCmztjlHT2jiq+KBPnvrHrbXNs/BJ0C4/TyzUtE39ZoorhFjzdNpZLYDd7gdGPGrf58kTbfr6GIYF4zWpjvMhUPhlMxG5TrurUjrzhTh/2WqR5lS91vTW1CjWsi4GmLhUglveMIOSVt62hFYpAkQXC1521gz4mQRChYA+kGrieX15WjTWQSPtKaFNwGWt8fz583jiiSegpTl79eqFqKio0CaXyNEXzwOsEcubPSfsw5IHTaciNBKZkjwE1AKtKYdWih+SVoNRUYugTjep9VmDb6wSPJgbBMn/llKJx88DO4+aaXi0tJ519gWdWvvhRdNPS9OmvNzEnG5bLNNvz081p+YGzhILhlhCm4kruEatjphrBrj8+xbrxwfJpcJhkAAJkECyE5BnHNckTZo0xhT76dOiJVESTeCZuhLI8ZmZu9L6IBpxWFwsVE/WTt4KJdZthtpntfY9Nt6cRrIon8pAo4PPfwyodXrO+uCnolNdarFUX2Rr5dMycn040iABVVgf+UCi4d+WKXoJPFooltPBP0gQ0gZzCu3tNsBbj5s+Ycru4feAGzctR+E7CZAACZAACTgm4LIFNDw8HAMGDEDfvn2xYcMGlCtXDtmyiR3dSpo3b840TFY87H3U0ofvd5C8i68Co+UGXl6UAK0AMWaBmatPp4EpyUNgzW6p4lEcqFjI/vF1SkgtpPaqx9jfI3iXRmQBJjxpO771eyUCVqzEZz+ytRKronr0faDmcDOS1d0KKbat8JurBM6Jq47mbFS3HXsPEq4eh9uRAAmQgC8IuKyAaueGDRtmRLv/+uuv0Fd8iYyMTDYFVCsuFSxYMCh8TbvcJ9ZOmYr/5k+xuK0zE9H3egDQQBFK8hFQ9wZnDvTqd6tWUop9AqvEV/ZZseA7clFoVt70p6UCap+fvaXzxbL8tfwOaEGKXJmlAIAwfLaec39aTVejNbW1ZKL69mZNb+Zl1N8VCgmQAAkECgG3FNDjx497fVy///47OnXqZLR74sQJfPvtt0Y6KK93xMMN1rkH0FdSRSO4tx4yK1do/lDNtUaxT6CU+Duu3eM4wfKSbUCpvPb35VLhJhAcKZ/KR61wN3UjiksExi4E3p4PvNveLASgMyHqIjL5DzMfsD2rplapeuhd4KtuZklEtT6rZbrOSKlSdQ547UGXmuZGJEACJOBzAi77gN6tpzdu3MC5c/IL6EG5fPkyunTpgjfffBO7d+/GZ599ho4dO0KXh7qor123KRK9PNicvu8vFpHcEkDz7ZpQJ+N4/IVzyPR7YaD+qITb/Ci+n5N/BzrQCp0Qzu0lmqB60T+2NeOtN/7sN0lQX8R6CT87IqCFJ9Sf9l+5FttFmwFx6p6jvshnLgKfLk+4p6Zns1Sp0shkVT5VKsl50SpVn8g+mlqMQgIkQAKBQMAtC+iBAweMaXhNPn/lisxnityUouZXr17Fvn378NFHHxk14T01cE31pO20adPGOORjjz2GQYMGGdP/6m8ayqJ1uXfJFNzuMXFWT43ivvcN8dGTG5UGO1FsCaj1Ti1Hqqjf85oZQJMxjeSg2yH+joslO8FgSVGU03YffosjoCmaNEm9pnHaJwqPtVQdAhw5w0pU1kycff5CrJx6LdpLt7asrzxYDjKrTmklI4tourC6JWxLpFrWaWq3LnXMYDE9TxQSIAES8HcCbimgTz75JFasWIH7778fa9asQa1atQyr55YtW6AKYe3aEsLtQYmJiUHhwvJ4byWFChWCKsLOZO7cuVi6dKnDTVRp7t27N1KmtPp1d7i1/61Qf7E14jv2QgPxBXvdtn9txCoiQ8P6momvVmF7xOD79nQ6Sbm0R3KBSiDYjVtAdrl5t8wvVidR5p3JLUlVoFb+UC64UEQs70vFUpyhkpSMLWha4bSKklrjuohVrs8rzgiG7jr9zblw4QIyZcpkQFghCmiEPPj8Jnlo7cnFFUB3eVDKaLV+qzxgaqq23g5+/oz18hBwVizRlOAhoLOLly5dQsaMGYNnUByJVwioYVD1JdV3HEnbtm1RvXp1R6uTdbnLCqhaOZcvX46pU6eiffv2hh9mhw4djNyg8+fPN3KDZskiobMelMOHDyP+MfXmr7XnnYnuowFLzkQV2RTOHNqc7ezjdX/HisIkur4MIYHoqNeIZfS63LgK5kuwmgtuE4j3XOMSF1UitPhC/OwPLu0cRBsNketup1yD+0Tx1PRhZcWXWYPq7PksBtGwkzSU+NdORrEkZ5KXljaNL+pec03+fouKJTON1S+0/k3vkAdPRz9ta+XBtJD8ADhaH7+dQPy+97iUbJSXMtJCElG5nfslB+IY4/fZ4t6WNWvW+Kv4nQScElC9TTMYOdOHfPlgY/Xz5nQciI2NNabbGzZsaGyoaZjUGqrJ6bU0p/ppqiKq0+Sekhw5cuDs2bM2h9Pv+fI516zuu+8+6MuRvPLKK4bCHKgW0O1TzKk4R1HzG+VB+YGKEtBQzREBLk8MAVUi9GlSH14oJOAOAVUiDh06dOdGcFaUSw0efKd7wqO8Mh247xEJKHopzs9Tt9Lysb8PE6W/lFhBm9juty5GShpuBzaIC04wlkqVPz10EP/YbeJG06yRGf0/fTUwVazIxyVwK7G1yW0p+ue3a9euGfff/PllmoZCAm4Q0DLpajh86SX5MfFDkT9n1yRv3rxInTo1NB2SSsmSJQ0F1LJ3RESEEShk+e6Jd73R6zS8tWj7kZLuKZRFI7VX77ZPQC1Si7YCpflbZR8Ql5KAHxDQClOb9gPPfWEqltol/dvVEqha7vTLZ22VT12vStYsmZYfJMFL/5P9dhwBDpwE1J9UfcJ/7BWcyqeOvcFoYO4GyWIxFBgpNo6hoqBr5S39LdRCCVev61YUEiCBQCLgsgKq1kK1fnbr1s3w/4yOjsbWrVsxffp0LFmyBIsWLfK4D6j6lGqN+UmTJsmP8y18+eWXuH79us/8FfzlxLa5V36M10sQw8qEPSohPqF6oyopU6IUEiAB/ySgvp1bRkjEuwQMFu0jlanEsqnv368F1omSpdWq7IlRpUoULnV30JRNqnzN3wT8IvvWF8toMIoGV/4dI6w+Sujm8dcQ8ZNNYwZfBePYOSYSCGYCLk/BKwRLlPuCBQswePBgY/q9Xbt2Bp9KlSpBlVJPiiq9n3/+uREFr9Hv2bNnx5QpU5AuXTpPNhNwx8orrkC/SgBNhYFSVvI/Mx+gJlDXKakM8mOs0dwB6t4acOeCHSaBxBJQJfLrbhI0dNn0p82VSTI0yOtuf7sRmYEPn0hsq4G339oYoGONhMqnZSSNy4plVLZhBTMLEb6TQGAQcEsB1Snx1atX4+LFi8boJk+eDI2MV+tkgwYNkmXE9erVw5EjRwwfGJ3mp5gEionz/TaZdtPclfpKLWdSf4i/fMb0jyKn5CeglYE0f6imH9L0RI9WNeuru9KyThmqZeeU/ClpIEWBbHdXPFw5rr9uozlC9bUrVoJvxPqnOS9HPW4+MPlrn73RL80eoKmYyhXwRmuB24Z4JziVu613ujNXkgAJ+ISAWwqopYfp06c3PobJr2f9+vUti5PtXduh8pkQr0bQDmqZcDmXJD+B938F3pPX/+qZteW3SUBJDZlG/bQL0FZcJJzJ0m1mEQFN/5Q7i1mdqaAosL/1NR8knO0biOvUp/G172SquLeZNP3keXP8ES9KHluZQs4tFj0KCTgiUDVSykD/aNa9t86Latn+42WS07e15RvfSYAEAoWAUwVUI981R5SrotPydevWdXVzbkcCAUngyxWSQ3SmWX1GE4BbpJOkxirb37RoNS1vWWr7vvMo0HwcMON5wLKNBp9UHATk6QnsHWtaCG33Ctxvc9YBGtVtHamcXh6cfhJl9IWpwNOTgdk9gtv6G7hnzz96XlqSntSMkryp8sAS+4HtVHytEfJ3eBJ4sIJ/9JW9IAEScJ1ACmebap5MtTxaXup7qQne9+/fb6SiKVq0qBEVr8s0US7zlDmjyXXBQEBrnX8gls+fXwGslU8dW5GcwDf/E8voL/ZHqoqmppJR/z2L8qlb6jTsRrGeNq9oVmSyv3dgLtWSk588ZT9Nzrj2Mu59opyKRZRCAs4ITO4qD3fippDlOeB1saYPnAXUFuVT86QeE6XUnmXU2fG4jgRIwPcEnFpAc+bMiWnTpt3pZcuWLdGqVSvMmDHDJom7BiW1bt0alqn5OzvwAwkEGYHrko9QK1HVKm5/YPeVMC179tYeOi03y3OAWkrtiZZP1frgrz1ob21gLtMqSfc4yMigSoMq7WrB8sdpeFWM1V3ioPRPk57fXwrIkTEwz0Og91oDs5aLi8rfe4AV/5mJ6DUVk5YmpfIZ6GeX/Q9VAk4VUGsomgB+3rx5WLdunY3yqds0bdoUZcqUwcKFC1G8uIM7s/XB+JkEApRACrFWqsVSg4g08Cu+XJJsBOF2lut2mqkgq+k+HX8347sGo1yQbYJJ8knGhj2isFcpknBUahHWyja6jb/Jb/8CT04Sv94oSY8kQWKabaLzp/IuLhYVC/lbb0OnP+oPqi9fytQV4uv9mxlQp3+zjSWgbsSjQLrUvuwV2yaBwCPgdAreejiahD5t2rRG7k/r5fpZS2Nu374defI4MHXE34HfSSBACaSSv5joYlKBxU4OVh3S6PmmVcbe8AqJFe2oRMyrFdSe/LbDTKxtb12gLmtRSar9/GxarOKP4YNFQH5h4m/WT3ULaPaOmQx+mkz5qnIx8wXzpdO+qyX7ASU0CWhA3QtfyUzFw2Ye19nit702BsglfswnL4QmE46aBBJLwGUFVJXPJk2aoH///tApd1U6L1++jE2bNqFz585iFQpD48aNE9sP7kcCAUNgWCug59eioIglxFo+XCz+jsvNSi3Wyy2f04QDWj61xTjLkrh3LcuokeLP1otbFgyf2kWbSrX67mnaKRVNvq7VfAZ8DyzobRtUYm7h2/81wGyMxF6qO4W1aOoo9d8dMc96KT+HCgFLQN0h+fvVpP86m1E8wnQNaF0NeGYypFx1qNDgOEkg6QQcTBbaP7Amge/UqZNR+916i0gpjbly5UpkzpzZejE/k0BQEqhUGFj/hqQUksh1zW2pOVm3HzZLKuryPFkcD3uUpItpMlaqt3QDPu4skb3yJ7Nhnyg8C0wLm075Bpt8JgEkWhr28Q+Bw2IBTi2+nw3LmBakzDKF6U9yQxSIv2OA756336uHq5gZEOyv5dJgJqABdZpmTYt9xJdJT8nvQB/gtDxcaXo1CgmQwN0JuKWAZsqUCbNmzcLOnTuxceNGnDlzBpUrV0bZsmWNkpl3b45bkEBwEFDLh6aEWRcDaHBRt3qmb6BaOZ2JBlNo2cRv18j7ZnPaThXYha8Et2+h1j5/6QHJ5SgKnlYA0pc/Sph0SjMdOOqfumCokkoJPQJ7xF+5ZF774w6XhyotRrHvBBVQ+4S4lAQSEnBLAbXsHhUVBX1RSCCUCaSXoIPa9ySOQJvqgL5CSVT5Tu2niqflPGgfKxSUBwJ5OHi4smVp3LtOw1YoFPedn0KHgM5WaNCcvSA0nXo/cBLI62T2I3RIcaQk4BoBtxTQY8eOYeTIkUYkvJbj1BKc1jJq1KhkK8lp3Q4/kwAJkEByEXitmdQVF+v2nwOkRKYooxbZvF98dKeI3+rLliV8DyUCGlCnadI0X68+qFjLePH/1mpmOTNZL+VnEiABZwTcUkA7dOiA3377zVAy1QKqgUfWkiULH/+sefAzCZBA4BFoVNasVFVjuJmztbi4SOw6JhWb1opvaHegTiKt3oFHgj22JvBkLWDuBiCzBNSpr7e64Whqtbfny0t8uA9KcJIj1w3r4/AzCZCAScBlBfTcuXNYtGiRkZi+TZs25EcCJEACQUtAK1VtHSklQzfK1OopoIwEUfVpavr5Be2gObC7EtASuiPmmoGEFy6LP7BMAt5fEtgsDyuaE5RCAiTgOgGXFVCdbleLZ/ny8stMIQESIIEgJ6BBJc/VD/JBcnhuE+jfHOj7oGn9TCtBh6zE5DZC7kACBoF4niyOqWiKpdq1a2P69OmON+IaEiABEghhAhqMcvYScO1GCEO4y9C1Wpjmy31ikgTiTTAtikckPVcgifqAZkxL5TOQzhn76n8EXLaAatfVB7Rnz55GNSQtvRm/9rvWii9RIl72Zv8bM3tEAiRAAh4loPGYOjX7+e9mPlhVQDWR/VhJaD9tFbBkawpcuJQbFSOB/90PlL8d3HRdtgslC5qWsK0p09UlJJ3RY1XN8pWzJL9m1KtSqGAEUDinR08LD0YCJODHBNxSQAcOHAgtyfnLL78Yr/jjuueee6iAxofC7yRAAkFPQKPmNSfsktdEmYoA1MrX4yugrNSOf7CCJK9/6CYunTuNDbERhgL2eHWpK7/DLMuaTRKXv9hQSjzKK5iVUc2fGin5bnNkBKZLII9FlE90lPhSjpLMAwPN4gyWdXwnARIIXgKp3Bna0aNHHW5+48YNaGomCgmQAAmEEgEtybroH+DcRIifvDlyTUy+ZKvUus8GHD0L1Cou70euokk1qYC1DFCr36wXzZKO+yV/ZI1hwMAfZJv3Ac0vG4yy5YCpYG8annB0z9Q1a6orF/rdJuTDJSQQjARc9gHVwR84cADdunXD/fffj5o1axqv6OhooxpSREQEFi5cGIyMOCYSIAEScEjgx/XAV1Ja1aJ86obbj5ibb3/TTF4eK0qoyuDZkoxfHvufbwis+M9cVjC7/La+KxbAUsCkpeYyX/6vbgGaVF2tuPFSPSepW8qkURnHh6hRTMqzHnS8nmtIgASCi4BbCuiTTz4JrQefJk0aoxRnxowZjcj4LVu2oG7dukaQUnDh4WhIgARIwDkBtXAWEiXSWnbJZFGNKFMpLSDrjsg2KqqszhbLZ+XCwM54E0ofdwLG/eJZpc9s1bX/L18Dun8pCdV7Aw3fFn/Ml82E/Ocl3ZAnJF24GaDl6FhnJHgrWK2/jsbM5SQQygRcVkCvXr2K5cuXY/LkyYals06dOnjiiSfw559/Yvbs2di8eTOYiD6ULyWOnQRCk0CkBM78e9viaSGQOZ3p36nWxD3HRJmTlE4qB0+Jj2huc138vJF5s8o0vih7VyRQx9ui/plFROHcfhjYJlZbtdzuf0esteJKkKcncEj6nVSpKW4IK3eaDOIfSy2t/WY6t5DG34ffSYAEApuAywpobGwsbkqOkYYNZe5IpFy5clixYoXxuVmzZtAp+Pnz5xvf+R8JkAAJhAqB1tWB0fLTd+FK3IirFwV2iFL69GSgUiEgqyikKjrd/q8oea9MB5pVMJdZ/tdpb1VcNbekt2XkPDM4SIOosqY3W08j/fjueQmmkp/8F75KumU2pwQfvSplTku8bmv9VW5adUr9QB8o6+2Rsz0SIAFfEUjlasN58+Y1IuD37NmD3Llzo2TJkhg3TmqP3RZVQHfv3m35yncSIAESCAkCWht8/V6J3pap9R96yPR6EeDEeaCkpBqa+ZeUb+wVVzu8cTlJQzQCeKmxVNORz9ZSXiLAn6ptvcR7nxdsAr54xn57Qx4GCsi0vKZQUqU0KfJiI7NiUL23TD46Lb9+H/CQMBzTNilH5r4kQAKBRsBlBTRlypSG9VODkCZNmgQNPtq6dauRmF4VUi3T2bu3/EpRSIAESCDECAxqCRTNJblAxZKoU+6Z0poKZh+x+D0/VWDcSoE0KSNw9JxpYXz3Z6B9NHBPHiDmOPCm7KfT3aPb+AbcMemX+qraE1U61TJ76qJMx2ext4V7yzqJkv1oVWDjflOpLS1lTiMyu3cMbk0CJBD4BFxWQHWoH330EVq3bo0FCxZg8ODBhg9ou3btDAqVKlUylNLAR8IRkAAJkID7BDrWBPQVX7RO+K6jN3HoyAlUK53XCLR5Yw7w+ATxs5Rpd1XqWlYSRXQskNJlp6j4rSTtu/qxapokewrm8fNSdlKmyXNnSlob1ntrFSFNTUUhARIIXQJuKaCFChXC6tWr7+T71IAkjYzXOvENGjQIXYocOQmQAAk4IKBKZbHcUvXn+nVkSGNuNFimtfXlTdFAo3XiKrBBprw1T6kqgMUlab5KhxrAgFlm9SZNE2UtGpz0tPhnavlJCgmQAAl4ikC8nxrnh923bx/y5ct3pwRnmCS+q1+/vrHTxo0bkStXLmO986NwLQmQAAmQgDcJaIqlx8ab+T3rlTLLhb4wVayw1YHPugA6Lf7XHiC7BB3N6gGUymdu++FiIF9W4F1zosubXWZbJEACQU7ALQVUA4/++ecfREZGJsDSuHFjDB061EhUn2AlF5AACZAACfiEgFo+c4lSqdbO9W/EJcwf1x7I+QKQTaLex4qCOf4JQKP3NRep+rHmlCn3hyRSf/LTcfv4ZABslARIICgJ3FUBffvtt7F06VJj8FeuXEGXLl2QLt3tnCK3kZw8eRJaprNw4cJBCYmDIgESIIFAJaDJ73OJMrluqO0INN3TsQ8kGr2v1KJvJLlKxQ/0yVrmy3ZLfiMBEiABzxNIcbdDtmjRwki/lDq1WaA4PDz8znddplWRVPEcPXo01ApKIQESIAES8B8Cq3YBvR6w35908rNeX6bk/5RtKCRAAiTgTQJ3tYCWKFHCqHSknWrZsqWRgklzflJIgARIgAT8n8C1G2bQkaOeapCU1BihkAAJkIBXCdzVAmrdmzlz5hgVj6yX8TMJkAAJkID/EqhSBFiyzX7/1D905t9ARXpP2QfEpSRAAslGwCUF9PLly5g7dy7OnDlzpyMLFy5EmzZtoGU4P/nkEyMV052V/EACJEACJOAXBB6ubJa+7PixbXe0/nqW54B6JYHSEvVOIQESIAFvErjrFPzevXtRrVo1HDt2DJpqqXz58kYNePUNLVCgAIoVK4bu3bvj4MGDGDJkiDf7zrZIgARIgATuQkBzjy6XQKN8vaTm+jAz9ZKW1Zy9zvT/nNH9LgfgahL4f3v3ASdVdfZx/E8HAelNpBdBsYAKFuxoULEFC7aIvUfsIvauKNHYS7CBJUZfY0GNRqMQFLsiKqKIgCBNEESQNu/z3MnMtpnZNrt77+zvfFj2zq3nfs/u7DPnnoIAAhUgUGwNqM981KJFC/nj9y233DLIwmmnnRYEn1OnTtXrr7+uu+66S9dccw1zwVdAAXFKBBBAoLwCPpWm93g/b7D05TzpkUnS1/OlKdb5aNurJB/vk4QAAghUpkDGAHTJkiX64IMPNHLkSHmNpw88/9133+mLL77Q2WefrYYNGwZ5PfHEE+W9499///3KzDvXQgABBBAooYD3ePf2oE++J51vgagHpAvs6/FTpIv/Lvn0oCQEEECgsgQyBqBew+kp/zSbiTFBBw0alMxj7dq11a5duyA4Ta5kAQEEEEAgNAK/22xIW10mjbFB531qzdo2HaenrTtKCy0QfWqK9FaazkrxPfkfAQQQyJ5AxgC0WbNmwZXmzbNnNv9L/sjdh2Hq06dPYlUwN/ycOXPUo4dNLkxCAAEEEAidwGdzpD6bSqfsXjRrG1nt6Jl7ST5oPQkBBBCoDIGMAWjv3r2DQee9B7wnfyT/yiuvaMiQIcHj+EQGx48fb+PIbUi2EU2s5zsCCCCAQDgEFi6XuthsR+lSxxbST3kDnaTbjfUIIIBAVgRqZzqLz3R03XXX6aKLLtIbb7yhb7/9Vv64/eKLLw4O857vjz32WNAB6fDDD5fPFU9CAAEEEAifQOdW0vSf0ufrK3vQ1cX2ISGAAAKVIZCxBtQzcOGFF+qee+4JOhztueee8vE/E4/avWf81VdfrX333VePPPJIgVrRysg810AAAQRyRWD5Kum2V6UD75D2vc3ee5+Oj9+ZrfvbrK1Uz6ocrn6+6Bnn/BzvhHTodkW3sQYBBBCoCIEaMUtlPbGPDdqgQQM1atSorKeokuNq1aqlNWvWyL+TECipgDczmTt3rjp2tF4bJARKIbB+/Xp5W/oOHTqkPGrVGqnbRdJgG+lu2ADJ22R6e8x73rShkq6Qtmif8rBSr5xrgWYvGxN0qAWaVx0sNaovTfpGOvYB6b7jpGN2KvUpOaCCBdauXauFCxeqffss/RBUcH45fXgEvCP5UUcdpUSH8vDkLJ6TjI/gi8tsq1Y8rynOiO0IIJAdAZ82cupcG8fyR8mHFNplM6lltD77poRYZ3O1d7nAZiOy+GLsiXm7DOwp7Wz9OvcfI00cJXVonretrEub2jlm2/kuf07az77/bgPS+yxIT9tg9PtvXdazchwCCCBQeoFyBaClvxxHIIAAAqUXWLHaau1sqKAF1pGmf1fJX3ut3V+Plk7YtfTnC9MR0yyg9prIN+NN6wtk7aB+0n++lp6xIZZ9EPlspOY2fPPdx2bjTJwDAQQQKLsAAWjZ7TgSAQQqQcDHr2x3jk0bubn02bV5F5y9xGrvLo3X4p2+Z976qC15x6DdrDY3Xdqui/TO9HRbWY8AAghEU4AANJrlRq7LKeDDzTzxbnxawjrWFNiDm6HbSjWL7ZZXzgtzeKkFxk60dovtrE2kBaH5kw8bNPU6adcbpD/tLPmc51FMja32c8nK9Dlf8qvkU2mSEEAAgVwS4M9tLpUm91IiAa8528kClx/s+z42n8L2VsN01uPxTiBrrE0cKVwC/50hjRySOk8+bFBP69396ezU26Owdidr5/nh96mHSPJ2r5f+Q/qD/ZySEEAAgVwSIADNpdLkXooVWGA1n/7Y9pL9pTus/eDh/eNtCBf8VapfRxr+kFT2cSGKvTw7lEFgrXXS8eGD0iUvN98nqqmJ1W7ecKjN036l1ejOybuLn61WtMnp0oh9pEFb5K1nCQEEEMgFgQxv67lwe9wDAgUFxtljdx/r8JTdC673V/44t7sNheM1o51bFt3OmqoR2NKmj3zb2kAO2abo9Vf+bsMIWQ3pI+2LbovSGm9C0LaJ1XTeJrVvah+GrJf/zIWSt2299o9RuhPyigACCJRMgAC0ZE7slSMC3uN4/xSBjN9ebWsLukN3yfchAA1PgR+/i9TPage7t5ZO3SMvX15T3ebP0iHWdrdV47z1UV3y5iA/WAD69Xyr0bWmIN3b0PYzqmVJvhFAoHgBAtDijdgjhwTq2k+815qlSytteJ9Mj3vTHcf6ihNo38zaSF4l9R4pvWVDEu1tj6NX2KxBT9nQRAf1lR47ueKuXdln9g5xXuNLQgABBHJdgDaguV7C3F8BgT16S//4oMCq5IvvF8UDnO27JlexEBIBH4R95uj4cEWfzZZ8FIPrh0rjT5NNARySTJINBBBAAIESC1ADWmIqdswFAR9q6aG3beDvU6Vl98Qfu/t9+VzYW14m3WUDdHunEFL4BFpvHG8TGb6ckSMEEEAAgdIKEICWVoz9Iy3g7TxfPV8acI11+rBxJb3d3a/2SP7jWdJNh1kv+IGRvj0yjwACCCCAQCQECEAjUUxkMpsCtazhyQfWqeX7xfEOR/Xtt6B/N2o+s2nMuRBAAAEEEMgkQACaSYdtOSvg7Qa72iDm/kVCAIHcE1hq46hO/Eaav0zqZMOq7dxD8lmnMqVZ9qH0hU/sw6m1B/eRFXzor606ZDqCbQggUFYBqwsiIYAAAgggkDsC/7HREra5wsaHnRSfYeovr0ntrMnNdza2arrkY836tK4ehG5h48r+bkNh+YxpkyyIJSGAQPYFqAHNvilnRAABBBCoIgGfTWrIX6SXzpV275WXibHvSFtfLr1ngWmfQhMXfDTLxgceI/3bJqIYYM1xEunsvW1MYGszfucxko9HS0IAgewJUAOaPUvOhAACCCBQxQLnPSWNObJg8OlZOmFXG7rLpjy94cWiGbz1lXgnxPzBp+/VspH0zkjJa1A3bCh6HGsQQKDsAgSgZbfjSAQQQACBEAmsWx8f0SJdbeWwAVYD+l3RDH8y2yY16Fd0va/p11latEJabpNUkBBAIHsCBKDZs+RMERfwP17zlkpLfo34jZB9BKqpgM3OGkxMUDvNXzafacp/zwsnX//72sJr816vt9rPdOfM24slBBAojUCaX9PSnIJ9EYi2gM8pfr09lutxsbTHzfF2YgOvl2YsiPZ9kXsEqpuAB4nd28RnNEt17y99ar/fHYpu2am79LRN7ZoqPfle/JwN66XayjoEECirAJ2QyirHcTkjcOJY6e/2x2eaBZ0+XIsHpA/abEl9r5BeOV/apWfO3Co3gkBOC/jwahcMlg68XfrqRsmncE2kqXOlMx6L/04n1iW+X7y/DbdkM6F5TehF+yXWxh/Xn/yw9La1A2XK1zwXlhDIhgABaDYUOUdkBV7+LB58LrVpOf2Pjyf/Q3PK7tKmzazjwt+kL66T6tUJNvEfAgiEXODQ7aVVa6TeFjSetZfUxcb6/eYn6dkPpX+clfoDpY8HPP0mabNLLED93GpJO8an553ynfTMmdK2nUN+02QPgQgKEIBGsNDIcvYEJtgfG+8xmwg+8595v62lG1+WPp1dcGiW/PuwjAAC4RM4dmcLGrtIE+wD5nQLPv3JxlsWXHowmi61tw+cC++U3v02Phbonr3tScjxUvOG6Y5gPQIIlEeAALQ8ejl87BobhHmezSDSqH58KJJcvVXvcLRJ0/R3164JnZLS67AFgfAKbL6J5F+lSRvVlfbavDRHsC8CCJRVgAC0rHI5epyPdXfJM9L4d6WmG0m/rJK6tZaeOE3yGoJcS12sZsTbhvmUe6nSxz9I1/wx1ZbwrPvNHjd+8H18ysGOLWzYmE5SfZoMhKeAyAkCCCCAQBEBAtAiJNV7xe7WDmruz9In10itN453yPFBmr1tlA/I3K9zbvkcuUN8BpQ/bmf32LbgvR10R7w9aHcLwMOaPrTAc9i98UeLnSz4nPZjPKD+xspxkxz8wBDWcshmvnwe8uc//t985PY7uP9Wufd7l02vbJzLp+j8p5vbNJxt3Nya3/S1D3IkBBCoOAEbtIKEQFzgsf/aIM5W4zfz1njw6Wu9Q86F1iv07mOlkx6WfDy8XEpb2ZAs9w+39mJXxnu++x8ib/N51uM2Ld+XFohfbeP//a9zUtju2/PqHxhGHyG9fqH00AnWfu1y6dIhUk/7wPAtw0iFrciKzY/PR76b9d725i/bWEcYT7va69ET4sv8n32BN6ZJe9rwawuWx58e+HvcLjYn/B3/yv61OCMCCOQJUAOaZ1Htl7xDzmOnpGY4bqB0s/0R9NoZH2cvl5J3NppwnnTvm9I9/473ePcOCLNui7eBDeu9njNeuupg6ZBtC+bw0gOkWvbR8roXpEdOLriNV+EV+GhWvDb+zYul/l3z8nmm9eTuaD+fTTaKj86Qt4Wl8gr4rEgH/1WaNCov4PdznuG95y+IN0Py9z4SAghkX4AANPumkT3jz9Yhp611ukmXvLOOd9rJtQDU73fXzeJf6e49bOt9Nhf/4/nc2alzNtz+aO54XeptrK14AZ+60WvQvTmLt53e3X6+iku3vWqjLhxWMPj0Y7wX9uTL4k0tTtw1/uGiuHNVxfalK6U737De5l9Ja+znc4v20ul7hPtR9uhXbJ73owoGn27XqrHkHwROsac+x+4k1bQPdCQEEMiuAL9W2fWM9Nl8iJKpc1Lfggc83r4w0zAmqY9kbUUJ+ID5ddN8hKxvvXl9JANS5QtM+kba/irJx5j99XfJZ9/pcUktfTTbCiVD+tx+9w7cJvUO3lRkpZ1r2W+pt1f1Wu8I18FqaX9cKt1wqHTfn+yeW8cfZfuwRmFNn822Doj2BCRV8lpofyy/0u6NhAAC2RdI8+cr+xfijOEXOMY+6f/xTukA+yNYuAPLBU/HawlaNgr/fVSHHPojdh+dYLL9cfdpBAun17+Q+lgNFKlyBTyIHGxNN14612o9e+Vd++2v1mv/29toQsv0Ne0+jeTqDB8a/ANFGNsj+4fTXtbm2O/3/uF597ylBc3+ZOGIe6R/XWjtkgt18svbs+qWgjng05j7B7x11h7Uf9dICCCQfQF+tbJvGtkz+pSTY4bFO7CMmxyfPcRnAjn+IfsDYgHNiyN4FBWWwvXOYWcPkvYZLS3+tWCuvJ3ucCuzEX8ouJ5XFS9w2XPxx+j5g0+/6kD73Rp98BJd/2L6PPg+T7ybevtTU+JPHzaun3p7Va79+iebyMGqMjzoLpwGdJP+NFDy+dTDmDKZe6dMb0bgY4OSEEAg+wLVsgY0Zh9tf/vtN9WqVSv7ohE/49C+1vC+fk09Orm29bytqcb1Y9qr9wbdfMFarbFHgNX5aZT/3CR+dsJQzF5WC5bVVufz6+riwWvUsUVMMxbU1Pj3auv+Y9do127r7ec8DDmtPnn4eFYD3Xf0qiLuG2yA3UGbrdSVE5prxa+rUtaqnbVHDW13bQOtW7dWo/Zfm0R7//uaOmlsfb127mqtWmVVciFL02bX0vadatk9p3536N26ll78PP32qrydc/asoR1uaCBtWKMRe+dVhU7+tqbOfLy+/n2Bl6VVhVZhWr9+vfznx/9mkRAojcCqVauCv1mlOaYy962WAagD//rrrwSgaX7SBtijswFHFNpo781GVq2TB5+e/GcnLOlP20tbtaut176sp+nza9r89ev06HHL1avt+mpfXlVRRrFYfQsUVqr2hoJBS/xnJxYMYxa896R49tTcatqmXLRSA25pqdenWbm2X6f5v9TUZ3Pr6MGjl6lH8zWhLNP6NepowS8N0/5ezF3SQI2sijRMvzeJn43WFntOvnCldhrdUi99VkO9267Tj8tqauq8OvZ7tFRdmqytcnMPPv3nJ4x+CUe+h1PAP7Qk/m6FMYfVMgCtYc8vW7duTQAaxp/IEOfJ/xDMnTs3+NkJUzb3sbag+/TLnyPrNk2qEgEfvPyDea3kExzkT16L9exHy2xszxpq19YKLE2ytyUtsnbY739fRzMX1gl6Y/tj4qYbNU1zRNWvHmQjZ/z5GRs/eEVr7WCP3PMnH1Pz6pfjozW09mgvhMnNfQ7492fW0azFdYKB6HfqYcNeNWgWityuXbtWCxcuDN37TihwyERGgQULFtgIDik+7WY8qvI2VssAtPJ4uRICCFQngYv2k/YbE2+vmT8Y+2KudNE/W+iV84vXaGA1obtZ5x3/ikJqWE+661hp0C0FO1/99IsN2XaRTWSxr31A6hPuO/F2noXb7YY7x+QOgegLEIBGvwy5AwQQCImA9/r2SQ08GDuiv9R7E8lnrHrx05q687DF2qVny5DkNLvZ8JEz/jtKOu7B+LBFja2z1CIbwui8wdIVB2X3WpwNAQRyQ4AANDfKkbtAAIGQCHgQ+s1N0qtTpdk2EH2/ztIl+21QzdWrQpLDisnG1h1tKl+bunaujQXqQ0Zt2lyqX6dirsVZEUAg+gIEoNEvQ+4AAQRCJuDj6J6wa16mrAmo5s3Le52rS97crGOLXL077gsBBLIpEN7Wqdm8S86FAAIIIIAAAgggEBoBAtDQFAUZQQABBBBAAAEEqocAAWj1KGfuEgEEEEAAAQQQCI0AAWhoioKMIIAAAggggAAC1UOAALR6lDN3iQACCCCAAAIIhEaAXvChKQoyggACCGRPYPYS6bUvrPe9DYvUyYYfHbyl1NZmLSIhgAACYRCgBjQMpUAeEEAAgSwK/PNjaefrbFzOWZLPrPT21/FZid79NosX4VQIIIBAOQSoAS0HHocigAACYRP4jwWbR98vTblC2qJ9Xu6OGyjtPdpqRS+w4NTmOichgAACVSlADWhV6nNtBBBAIMsCVz0vPXJSweDTL+Fznd93nHTzhCxfkNMhgAACZRAgAC0DGocggAACYRRYv0H6Yq50cL/Uudtva+nz2am3sRYBBBCoTAEewVemNteqMIE5Nuf2aKvZ+e8Maa1Ne+jzUp/3B6lvpwq7JCdGIJQCsZhk/1KmDRm2pTyAlQgggEAFCVADWkGwnLbyBBYsl3qPlJpsJD1+qvTPc6RtLfDc5YZ4QFp5OeFKCFStQC17R/cPXy99mjof4ydL23VJvY21CCCAQGUKRCYA3bBhg6ZPn16ZNlwrAgKr10rdLpRG7CNd+0dp802kLq3stdV+/svWH3WfNGtxBG6ELCKQJYHLDpSOfUD64PuCJ/z3l9KoZ6WrDi64nlcIIIBAVQhE5hH8qFGjNHHiRE2aNKkqnLhmSAXenyn12VS6bmjRDO7UXTp0O+n5j+IBadE9wr1mzTobRucH6dsF0sYNpIE9peYNw51nclf1Anv2ll4+T9rjJumP29oHtNbSNz9Jk20IptftQ9mW9vtCQgABBKpaIPQ1oEuXLtUJJ5yg2267raqtuH4IBWYuskeKndNnzIPT72yfqKWF1qxgtxulc8ZLk6xd62P/lTpaUPHyZ1G7E/JbFQK7bWY/97dI+/SJjwN6QF/p/SulHe1DGQkBBBAIg0Doa0C95jNmrepvv/12PfHEE2EwIw8hEmjZyGZ6WZY+Qz/aLDCtGqffHsYtK1ZLXa2m6sRdpTuOzsvh1LkWQFwrPXySdNj2eetZQiCVQBub9eiYnVJtYR0CCCBQ9QKhD0C95rNBgwYaP96qgkqYxo4dq+eeey7t3t6e1INaUvQFfEDt0x6VPrT2boU7Vyz7TbrpZek/l0TrPm//l+SPUfMHn34H/uj0zYvj7fsO6SfVrhWt+yK32RfwZhrz7QNYXXsnb7OxVDP0z7Syb8AZEUAgtcC8efM0a9YsDRkyJPUOtnbEiBEaNGhQ2u0VuSH0AagHn6VNO+64o9q0aZP2sAkTJqhGjRppt7MhOgLNrE3kvcfZINvW3u3Rk6Wh1ubT07QfpQHXSCPt965wYBrfI7z/v2N97a44KHX++neV6tlvrTc96Nk29T6srR4CPuzYvW9K9etK3hmvib1VPnC8tH2X6nH/3CUCCGQWaNKkiVq0aKHTTz897Y69etkMFVWUQhWA+uP2cePGBRSdOnXSO++8UyaW3r17y7/SJYLPdDLRXH/ANtJbVst51uPSn+3HxwO0unWkW46Qztgzevfk45g2sPynS35/PuA4qfoK/M3eGq/+pzT1uvioDy7x4qfxjkfjTk0/EH31FePOEah+Ag0bNlTjxo21//77h/Lm7U9ZeNLw4cO1zz42no6l+vXrhydj5CT0Al7r897l0lJ77L7OAjjvLR7VR9TbdJTe+DJ1za0/bv3Rvjq3DH2RkMEKEvDJFrxz2qI74x2MEpfxD2Le3OSQv8abcPjICSQEEEAgrAKhCkB79Ogh/yIhUBYBb1WRC8MUnbaHBZ9Xxcc0PdB6LyeS14wOtsEgvFa3gT12JVVPgQmfx8fyTPUz4M1N+naOD7k0eMvq6cNdI4BANARCFYBGg4xcIlCxAr3aSVOuiLdhHTYgPv6nD8v0+GRpVxtexwcaJ1VfgSW/Sr0ytP9ta73ffR8SAgggEGaBmmHOXP68HX300QxCnx+E5ZwW2KK9NN06VnnPd+/hv3yVdJ91trr72Jy+bW6uBALdWlnbz7npd5zyndS9dfrtbEEAAQTCIEANaBhKgTwgkEKgfTNr6xdvEp1iK6uqq8ChNgasj/rgzTN8dqz86aSxNgD9QnsM3yn/WpYRQACB8AkQgIavTMgRAgggkFagi9WAPn2GNMhmOrrcmmP4LEer10jj35WemiLN/Ut8XNC0J2ADAgggEAKByDyCD4EVWUAAAQRCIbBDN5uidZQ0Y4E0/EHpbOsV74PR+/SbTTcKRRbJBAIIIJBRgBrQjDxsRACBTAI+E8/7M+OBkAc+3kmqhU2PSqp4AR+u66ETKv46XAEBBBCoCAEC0IpQ5ZwIVAOBBdYz/8Db4+Ot9rM2h4tWxKcJHW8DoR/UrxoAcIsIIIAAAmUWIAAtMx0HIlB9BX6xXvndLoyPSeozTiXSl/Ok/ldLfztROqJ/Yi3fEUAAAQQQKChAG9CCHrxCAIESCPzlNWnvLeLTnebfffNN4rPxXPl/8Rmp8m9jGQEEEEAAgYQAAWhCgu8IIFBigUnfSOcPTr27z8ZTp5b0/eLU21mLAAIIIIAAASg/AwggUGoBnxY01VSQiRPVt8Y962wfEgIIIIAAAqkECEBTqbAOAQQyCngP7Nenpd7lx6XS/F+krjZeJQkBBBBAAIFUAgSgqVRYhwACGQVO31O67gXp+Y8L7vb7WmsbOlr6895SvToFt/EKAQQQQACBhAC94BMSfEcAgRIL9GonTblCGnBNvLf7jt2lhTYsk8/Gs08f6aL9Snyq5I6xmDR2ovTSp3YuG9KpS0tp2ABpyDbJXVhAAAEEEMgRAQLQHClIbgOByhbYor0NQH+z9I8PpWk/Sk1sIHoffsln6SlL2m+MtHSlTS95kLRpM8mHdBp2rzRyiDTqgLKckWMQQAABBMIqQAAa1pIhXwhEQKBdU5sGclD5M3rZsza15AxpxX1559ra2pkeYLWfm4yQurdhXNE8GZYQQACB6AvQBjT6ZcgdIBBpgfUbpMcnS1/dUPQ2GtWX/n6m9PA7RbexBgEEEEAgugIEoNEtO3KOQE4ILP1NqmF3smnz1LfT12pCZyxMvY21CCCAAALRFCAAjWa5kWsEckagcT3p198lH1s0VfIOSU0bpNrCOgQQQACBqAoQgEa15Mg3AjkiUNdaou/UQxrzauobOv4h6Q9bpt7GWgQQQACBaArQCSma5UauEcgZgRr2/H3MMGkbG9apqfWkP2V3eyRv69ask459QPp6vvTfUTlzu9wIAggggIAJEIDyY4AAAlUu4L3c59gwTENul258yXq+2zBMP9hc8gN7SvNsHYPaV3kRkQEEEEAgqwIEoFnl5GQIIFBWgWYNpYkj44PQ+6D2HVvY2KLW9tNrQ0kIIIAAArklQACaW+XJ3SAQaYGa1iq9bZP4V6RvhMwjgAACCGQUFvTAAwAAGyRJREFUoBNSRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjAAFoRh42IoAAAggggAACCGRbgAA026KcDwEEEEAAAQQQQCCjQO2MW9mIAAKRFli3XvrnJ9I706U166StOkjDBkjNGkb6tsg8AggggEDEBagBjXgBkn0E0gl48LnvGOnB/0hbtJd26Ca9MlXqcJ60cHm6o1iPAAIIIIBAxQtQA1rxxlwBgSoR2Opyaf4yaek9eZc/bqB01fPSLjdI79l2akLzbFhCAAEEEKg8AWpAK8+aKyFQaQJfzpMWr5B+vrvoJa86WNrRakOf+aDoNtYggAACCCBQGQIEoJWhzDUQqGSBqXOlA7aRatRIfeHdeklf2D4kBBBAAAEEqkKAALQq1LkmAhUsUKeWtGpt+ov8tkbyfUgIIIAAAghUhQABaFWoc00EKlhg5+7xnu9LV6a+0DX/lLwWlBRugeWrpHOfkHqNlFqcKW1/lXT7a+HOM7lDAAEESiJAAFoSJfZBIGICbZpIp+4R7/G++Ne8zK/fIHW7SGpYL/6IPm8LS2ETWGujGGwyQlpkbXlfsZEL5t0uPXC8dNlz0uEp2vaGLf/kBwEEEMgkQC/4TDpsQyDCApcfaG1ALf9bXGq1nZtJDepKE7+xWrQu0rhT07cPjfAt50zWYzHplIelTZvHyypxY307ScvvlfpcZsHof2yf3RNb+I4AAghES4AANFrlRW4RKJXAZRaEnry7NOU7aZ3Vfvrr7q0JPkuFWAU7e+3nK59L395S9OI17bnVXcdKN71EAFpUhzUIIBAVAQLQqJQU+USgjAJtNpYO7FvGgzmsSgR8ooCmNltVo/qpL9+zjTT759TbWIsAAghEQYA2oFEoJfKIAALVSqBVYxvD1drurrLRClKlmYusfWjTVFtYhwACCERDgAA0GuVELhFAoBoJ1LVnU3ttLp1jPeBTpf3GSAf3S7WFdQgggEA0BAhAo1FO5BIBBKqRgE8g4O08n3hX2v0mm9XqfyMZzFggDbNOSP2sM9LZg6oRSAXdqre1/WFx/GudLZMQQKDyBGgDWnnWXAkBBBAosUCLRjYE050WaI6Ttrk8/ji+lbXnPXKABaaMYlBix3Q7+igCo1+R6tqEDOtt1IEN1knv5sOlQ7ZNdwTrEUAgmwIEoNnU5FwIIIBAFgV86KyHTpB8WCavrfPZq9JNr5rFy+b8qV74RDrvSen9K6XNN4nf7sezpF1vlG48jNrlnP8B4AZDIcAj+FAUA5lAAAEE0gt40OntQgk+0xuVdIs3YzjqPmnm6Lzg04/t11macbMFoDa81ewlJT0b+yGAQFkFCEDLKsdxCCCAAAKRE3htanz81NbWnKFwamcjCxxkQ5a9Pq3wFl4jgEC2BQhAsy3K+RBAAAEEQivw80rJx8ZNl3waWx8Ci4QAAhUrQABasb6cHQEEEEAgRAI+E9ins9Nn6L1vpW420D8JAQQqVoAAtGJ9OTsCCCCAQIgEBm8lffC9NG5y0Uzd/po0aYY0yMZgJSGAQMUK0Au+Yn05OwIIIIBAiASa2xSnL58nbWs94D/5QTpmp/goAy98Kt1qwzJNt3FXN24QogyTFQRyVIAa0BwtWG4LAQQQQCC1wGZtpS9vkNbZ2J9/Hh//Wr5Kmna91L5Z6mNYiwAC2RWgBjS7npwNAQQQQCACAh1bSHccHYGMkkUEclSAGtAcLVhuCwEEEEAAAQQQCKsAAWhYS4Z8IYAAAggggAACOSpAAJqjBcttIYAAAggggAACYRUgAA1ryZAvBBBAAAEEEEAgRwUIQHO0YLktBBBAAAEEEEAgrAIEoGEtGfKFAAIIIIAAAgjkqAABaI4WLLeFAAIIIIAAAgiEVYAANKwlQ74QQAABBBBAAIEcFSAAzdGC5bYQQAABBBBAAIGwChCAhrVkyBcCCCCAAAIIIJCjAgSgOVqw3BYCCCCAAAIIIBBWAQLQsJYM+UIAAQQQQAABBHJUgAA0RwuW20IAAQQQQAABBMIqQAAa1pIhXwgggAACCCCAQI4KEIDmaMFyWwgggAACCCCAQFgFCEDDWjLkCwEEEEAAAQQQyFEBAtAcLVhuCwEEEEAAAQQQCKsAAWhYS4Z8IYAAAggggAACOSpAAJqjBcttIYAAAggggAACYRUgAA1ryZAvBBBAAAEEEEAgRwUIQHO0YLktBBBAAAEEEEAgrAIEoGEtGfKFAAIIIIAAAgjkqEDtHL2vjLe1YcMG9e/fXzVrxuPvFStWaNmyZerQoUPG49hYcQKLFi0KTt6qVauKu0g5zxyLxbRu3TrVqVOnnGcK5+Fz5sxR06ZN1bhx43BmMMK5KunPzjfffKOuXbuqdu1q+dZc5SW8du1azZo1Sz169KjyvCQy4D8769evrzY/E/w9TpR8+b+vXr06+Nkp/5kq5gw17Ic7VjGnDu9Z58+fr7lz5yYzOHHiRP3f//2fxowZk1zHQuUKPPDAA6pRo4ZOPvnkyr0wV0sKnHvuuRo6dKgGDhyYXMdC5Qrsu+++evzxx9WyZcvKvTBXCwQWLlyo448/Xi+//DIiVSTw9ttv68UXX9Stt95aRTnIrcv6hymvWAhjqpYfs9u1ayf/SqQFCxYEBbT99tsnVvG9kgX8Dd8DUMqgkuHzXc7fpHr27EkZ5DOp7EWvXe/bt6/atm1b2Zfmeibw448/qm7duvwOVOFPw7x589SsWTPKoArLoLIuTRvQypLmOggggAACCCCAAAKBAAEoPwgIIIAAAggggAAClSpAAFqp3FwMAQQQQAABBBBAgACUnwEEEEAAAQQQQACBShUgAK1Ubi6GAAIIIIAAAgggUC17wRcu9ubNm2vzzTcvvJrXlSjQsWPHoBd8JV6SSxUS8N8B/10gVZ2Aj0/svbBJVSNQr149el9XDX3yqi1atFDv3r2Tr1nIXYFqOQ5o7hYnd4YAAggggAACCIRfgEfw4S8jcogAAggggAACCOSUAAFoThUnN4MAAggggAACCIRfgAA0/GVEDhFAAAEEEEAAgZwSIADNqeLkZhBAAAEEEEAAgfALEICGv4zIIQIIIIAAAgggkFMCBKA5VZzhvpkNGzZo+vTpKTO5cOFC/fLLL6XelvIAVqYVmDNnjmKxWMrt33//vdatW5dyW6bySXkAK1MKrFy5UvPnz0+5zVdmKoNM29KekA0pBfy96Jtvvimy7ffff9fs2bOLrPcVmbalPICVKQVWrVql/F+F33MyvddQBilJI7uSADSyRRe9jI8aNUonnnhigYz7H+S99tpL2267rdq1a6cRI0YkA6RM2wqchBfFCjz22GPq1auX9ttvP/Xs2VN33HFH8piJEyeqa9euQTn4GHyvvvpqchtlkKQo98JJJ50UjG+40047aeDAgVq8eHHynJnKINO25AlYKJXAmDFjtOOOOxY45pprrtGmm24arPf3owULFiS3Z9qW3ImFYgU86N9oo40KfLmtp+LeayiDYnmjt4PVhpAQqFCBn3/+OXb88cfH6tSpE9t5550LXOvcc8+NHXXUUbHVq1fHZs6cGevWrVvs5ZdfDvbJtK3ASXiRUcDe2GMWWMY++OCDYL/vvvsu1rBhw5jVxMWsJiLWvXv32FNPPRVse+aZZ4J9fb0nyiBgKPd/zz77bMwG+o9ZDU7Mat9iBx98cMw+bAXnzVQGmbaVO1PV9ASffvpprFmzZjGbdCEpMGnSpFiHDh1iP/zwQ/A7cdxxx8X8y1OmbcEO/FdigaeffjpmH75iv/32W/Jr7dq1wfGZ3msogxITR2pHr20iIVChAqeffnps+PDhsbvvvrtIAGozIMXefffd5PWvuOKK2LHHHhu8zrQteQALxQrMmDEjdssttxTYz2YaiT3++OOx9957L/jDm3+jb3vhhReCVZRBfpmyL3/99dexzz77LHmCM844I3bkkUcGrzOVQaZtyZOxUGIBD+i32mqr2F133VUgAD3//PNj5513XvI8U6dOjTVo0CD4sJBpW/IAFkokMHLkyOQHrzVr1hQ4JtN7DWVQgCpnXvAIPnqV1pHL8W233aaHH35YTZo0KZB3++SruXPnqnPnzsn1nTp1CtZl2pbcmYUSCVgNpy688MLkvu+//76sFjR41Dhr1iy5ef5kfwgog/wgWVjebLPNZIGPLBDVxRdfrJdeekn2RzU4c6YyyLQtC9mqdqdw+wMPPLDI43dvX1v4fciCVS1ZsiRol5tuW7UDLOcNf/LJJ/L3H28G1KhRI9nTL61YsULFvd9nKp9yZonDq1CAALQK8avLpa0mIeWtemNz7wyw8cYbJ7c3btxYS5cuVaZtyZ1ZKLXAt99+q6FDh+rGG2+UNXcIOsQU/mDg5UEZlJq2RAd88cUX8qCyVq1ayc4u3ikpXRlk2laiC7JTUuC1117T5MmTZU9ZkusSCz/99FOB9yEPjjz570GmbYnj+V4ygZYtW8qan8hqmGVPvmRPBWS1osW+31MGJfON2l4EoFErsRzKr3d48eSfgBNp+fLl2mSTTZRpW2JfvpdOYMqUKbI2uLrgggtkjxuDg93ZzfMnyiC/RnaXDz30UFk7OHknGGsXHdT8FFcG6conuznL7bP5CBsnnHCCTjvtNH344Yf6/PPPgxEfPAjymk4vg/zvQ4nlxHtR4rUrJZZ9G6l0AtbsJ3gaU69ePfXr10+nnnqqJkyYUOz7fabyKV0O2DtMAgSgYSqNapaX+vXrq1WrVsEjrsStJx61ZNqW2JfvJRd48803gx7w3hzinHPOSR7oj9u9Ri5/8jLo0qWLKIP8KuVbts5deuutt5In6d+/fzDsmHV6UaYyyLQteTIWihXwEQfatGkja4euM888UzfddFPQ69qXvZbZnf3nPpF82d+brLNexm2J/flevIA/Zvf3n/yjP9SoUSMYgaO495pM5VP8ldkjtAI505qVGwm9wLhx44p0QvLG5YccckjMaihiX375ZczaWsXefvvt4F4ybQv9zYYog/PmzYvZY/XY2LFjY4sWLUp+eU9UG4MvZsFm7P777w86XDz66KMxG5Ip6KHqt0AZZKcgn3zyyaAXvNWexbzzhbu68/r16zOWQXHlk53cVb+zfPTRRwU6IXlnL6vRjHnnIy+jYcOGxc4+++wAJtO26idXvjs+4IADgs5ePhKEvy9tvfXWsQceeCA4aab3GsqgfO5hPZpe8GEtmRzMV6oA1D4Nx3bbbbdg6B+roYhde+21yTvPtC25EwvFCtj4qz7yfJEvewwcHGs1c7HWrVvH3N97wL/zzjvJc1IGSYpyLXig6QGNf8By5z59+hToFZ+pDDJtK1emqvHBhQNQp7jsssti9mg41rZt29jgwYODQDRBlGlbYh++Fy8wbdq0mI1FHHzotfFAYzY2bjAEnx9Z3HsNZVC8b9T2qOEZDm31LBmrNgL25qOmTZuqdu3aRe4507YiO7OiTAL+NuAdv/wxZapEGaRSKf06fwxp4+KmdM5UBpm2lT4XHJFOwMYjln/5e1HhlGlb4X15nVnA2+R6O1B/9F44ZXqvoQwKa0X7NQFotMuP3COAAAIIIIAAApEToBNS5IqMDCOAAAIIIIAAAtEWIACNdvmRewQQQAABBBBAIHICBKCRKzIyjAACCCCAAAIIRFuAADTa5UfuEUAAAQQQQACByAkQgEauyMgwAggggAACCCAQbQEC0GiXH7lHAAEEEEAAAQQiJ0AAGrkiI8MIIIAAAggggEC0BQhAo11+5B4BBBBAAAEEEIicAAFo5IqMDCOAAAIIIIAAAtEWIACNdvmRewQQQAABBBBAIHICBKCRKzIyjAACCCCAAAIIRFuAADTa5UfuEUAAAQQQQACByAkQgEauyMgwAggggAACCCAQbQEC0GiXH7lHoNoKHHLIIapRo0bar1WrVun1118Pts+cOTNw2rBhg+69916tXr066TZlyhRNmjQp+bqsC0ceeaT22muvsh5eouOOOeYY7bLLLiXal50QQACBMAvUDnPmyBsCCCCQSWDTTTfVjTfemHKXunXrapNNNtGf/vQnNW7cONjn73//u84444xgna9Yt26ddtxxR40dO1YDBw5MeR5WIoAAAghkX4AANPumnBEBBCpJoGnTpvJawXRpiy220KOPPprc7DWg+VMsFpN/kRBAAAEEKleAR/CV683VEECgEgX88fp2222nH3/8US+88IIuu+yy4Ope2/nQQw9phx12CF5fddVVyVpRX/G3v/1Nffv2DWpO+/fvHxwb7Pi//zyQvfrqq7XllluqY8eOuuKKK1Q4uM2//1tvvRXk44cffsi/Wk8++aR23nln/f7778H65557LqiJbd68udq2bat9991XX331VYFjEi/efvvt4JxLlixJrAq+e36feeaZ5Lpff/01qPXt3LmzWrZsqYMPPliF83H33Xdrs802U8OGDbXNNtvoL3/5C4F5UpAFBBCoCAEC0IpQ5ZwIIBAKgeXLl+ujjz4KArzNN99cf/jDH4J8nXnmmfJA7eyzzw5e77PPPho2bFiwPHr0aJ122mny/ceNGxcEhB60Pfvss8l7uu6663TLLbfopJNOCoK11157Tc8//3xye+EFv9bXX38tbwKQPz344INq06aN6tWrp3/84x8aOnSott566yAAPv300/Xpp58G6/Ifk1hetmxZcG9r165NrAq++/0uWrQoWPbaXW+X6nk/7rjj5NdbunSptt9+e/3888/BPi+++KLOOussHX744Xr66ae1995767zzztPDDz9c4Ly8QAABBLIqYG9QJAQQQCByAhYUxmrWrBnbeOONi3x9/PHHwf3861//8ufrse+++y54PX78+OC11QoGr9esWRO8tmAreG3BWXCu448/Pnid+O+II46Ide/ePXi5cOHC4Lp33nlnYnPMj7N2prE99tgjua7wgjUViFltbHL1/Pnzg/NY4BmsO/fcc2MHHnhgcrsv3HDDDUH+/Pyejj766JjV3gbLFvAG2/w8+ZObWI1msMpqWIN9JkyYkNzlt99+i1lNZ2zkyJHBugsuuCB5b4mdLr300phbkRBAAIGKEqANaFbDeU6GAAKVKeCPlL1TUeHkj6/LkrzG0WtNvRZy8uTJyVP06NEjqB30msWpU6cGj9u9VjSRvC2q16ImahUT6/N/97aqgwcPlvfI79q1a/CY3IJnDRkyJNhtzJgxyd3nzZunadOm6csvvwzWWdAov0Zp08SJE9WkSZOgKUH++8l/fwMGDNCtt94a1HweddRR2n///XX99deX9lLsjwACCJRKgAC0VFzsjAACYRJo3bq1rrzyyqxlKdE2csSIESnPOWvWLM2YMSPY5o/O8yfvcZ8pAB00aFDwuN3bZ1588cVBQOuP3P3xuydvy3nhhRcGj/L9Mbmfz3v5e7IaiOB7af/z/P7yyy8ph27yNqGeDj30UN1+++266aabdMIJJ8hqUOV59TayHTp0CPbhPwQQQCDbArQBzbYo50MAgcgKeOcfT++9915Qy+kdi/J/edtJ73TkqXCwuWLFimB9uv9q1aoVtDP1AHTOnDlBDas9Uk/u7ssvvfSSbr755iDI9Y5T3lbVU6oA1MdA9WTNCILv/p+3C83fGapFixbq1KmT1q9fX+A+fJ/E2Kh+3DnnnBN01Hr33Xd10UUXBffvwTEJAQQQqCgBAtCKkuW8CCAQOoFE0JYI0ry2z5MHaJ582Cbfxzvj5B/k/r777tNhhx0WDGDvveM9ec/2RPIA0YO34pI/hvdOQvfcc4/at2+v3XbbLTjEg8g33ngj6Ax08skny9qbBuutLWvwPZG//Odv1KhR8HLx4sXJ1V988UVy2Rf8frxW10cDSNyP59Uftftjd09e8+mdrtzCRwXwcVW9WcPnn39eIJgNduY/BBBAIEsCBKBZguQ0CCAQfoHEgPTeu91rAL1Wsn79+rLOSkGQ5m0zrcNRMDC9B2gLFiwIHolbR52gV7zv6+1LrZNS8Ljcg06vdfRH6tOnTy8WwIeE8uGOvL2nz5yUCIB90HwP/rwG1ANGb4fqPdbvuuuu4JzeBrRw2mqrrVSnTh2NGjUq6GHvwzJ58Jp4pO/7n3rqqfJaUK9J9WGovG3pJZdcErQ/9cfsnjygvv/++4MvD2b9nnxfn3Epkb9gR/5DAAEEsilgn4ZJCCCAQOQEvBd8nz59Mua7cC94701u41x6g8qY1fIFx3rv89q1a8datWoVvLY2k7Hhw4cH63y/du3axSywi3nv8USyqTxjNmxRrEGDBsG5LFiL2TBHsT333DOxS9rv1157bXCMdXgqsM+///3vmD3ij1lNZXBt7+1uU4TGLEiOJXrp5+8F7wdbkBr0aPd8Wmej2COPPBLr1atXshe87/PJJ5/ELMgMrunn7tevX8xqdH1TMtlj96AnvJ/Hgs6gN/9PP/2U3M4CAgggkG2BGn5Ce9MhIYAAAtVGwGst/RG2BZ7BPfu88f5Y3gdiTyR/LO7tML2zjj++TpX8OO/kU9Ze96nOaYGfNtpoI3kP+ZIkfzw/e/bsoK1nphpLv2cLnDPmde7cuWrWrFkBh5LkgX0QQACB0goQgJZWjP0RQAABBBBAAAEEyiVAG9By8XEwAggggAACCCCAQGkFCEBLK8b+CCCAAAIIIIAAAuUSIAAtFx8HI4AAAggggAACCJRWgAC0tGLsjwACCCCAAAIIIFAuAQLQcvFxMAIIIIAAAggggEBpBQhASyvG/ggggAACCCCAAALlEiAALRcfByOAAAIIIIAAAgiUVoAAtLRi7I8AAggggAACCCBQLgEC0HLxcTACCCCAAAIIIIBAaQUIQEsrxv4IIIAAAggggAAC5RIgAC0XHwcjgAACCCCAAAIIlFaAALS0YuyPAAIIIIAAAgggUC4BAtBy8XEwAggggAACCCCAQGkFCEBLK8b+CCCAAAIIIIAAAuUS+H9CCAll/lHXygAAAABJRU5ErkJggg==" /><!-- --></p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1"><span class="co">## Look at predictions</span></a>
<a class="sourceLine" id="cb11-2" data-line-number="2"><span class="kw">plot</span>(<span class="kw">augPred</span>(fit.nlme, <span class="dt">level =</span> <span class="dv">0</span><span class="op">:</span><span class="dv">1</span>))</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" data-line-number="1"><span class="co">## Compute confidence intervals</span></a>
<a class="sourceLine" id="cb12-2" data-line-number="2"><span class="kw">intervals</span>(fit.nlme)</a></code></pre></div>
<pre><code>## Approximate 95% confidence intervals
##
## Fixed effects:
## lower est. upper
## Asym 337.331378 390.15370 442.976023
## R0 106.772016 131.75233 156.732636
## lrc -1.890842 -1.66514 -1.439438
## attr(,"label")
## [1] "Fixed effects:"
##
## Random Effects:
## Level: yearf
## lower est. upper
## sd(Asym) 69.3531468 106.6362143 163.9620225
## sd(R0) 35.5041417 51.0293371 73.3433655
## sd(lrc) 0.1236613 0.3169539 0.8123783
## cor(Asym,R0) -0.1758864 0.3541783 0.7250264
## cor(Asym,lrc) -0.9574850 -0.7989574 -0.2698169
## cor(R0,lrc) -0.5375575 0.2143155 0.7763412
##
## Within-group standard error:
## lower est. upper
## 13.81175 18.79545 25.57744</code></pre>
<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" data-line-number="1"><span class="co">## A simpler model is possible...</span></a></code></pre></div>
</div>
<div id="other-modeling-approaches" class="section level2">
<h2>Other modeling approaches</h2>
<p>Other modeling approaches do not use such a rigid specification as the models classically used in nonlinear relationships. Some examples are:</p>
<ol style="list-style-type: decimal">
<li><strong>splines</strong> (packages ‘splines’ or ‘splines2’)</li>
<li><strong>gams</strong> (package ‘mgcv’)</li>
<li><strong>loess</strong> (package ‘stats’)</li>
<li><strong>quantile regression</strong> (packages ’quantreg*’)</li>
<li><strong>polynomials</strong> (poly in package ‘stats’)</li>
<li><strong>segmented regression</strong> (segmented in package ‘segmented’)</li>
</ol>
<p>Although these previous methods are much more flexible than classical nonlinear regression, the traditional approaches have the benefit of being simple and providing parameters with a straight-forward interpretation.</p>
</div>
</div>
<div id="contributed-packages" class="section level1">
<h1>Contributed packages</h1>
<p>I have not tested any of these packages. They are here for reference.</p>
<div id="flexparamcurve-package" class="section level2">
<h2><strong>FlexParamCurve</strong> package</h2>
<p>See Oswald, Nisbet, Chiaradia and Arnold, MEE, (2012) ( <a href="https://doi.org/10.1111/j.2041-210X.2012.00231.x" class="uri">https://doi.org/10.1111/j.2041-210X.2012.00231.x</a>).</p>
<ol style="list-style-type: decimal">
<li>SSposnegRichards (Positive-Negative Richards)</li>
</ol>
</div>
<div id="sicegar-package" class="section level2">
<h2><strong>sicegar</strong> package</h2>
<p>Available from CRAN. See: See Umut Caglar, Teufel and Wilke (<a href="https://peerj.com/articles/4251/" class="uri">https://peerj.com/articles/4251/</a>)</p>
<p>Package available at <a href="https://github.com/wilkelab/sicegar" class="uri">https://github.com/wilkelab/sicegar</a></p>
</div>
<div id="drc-package" class="section level2">
<h2><strong>drc</strong> package</h2>
<p>Dose-response curves package</p>
<p>Ritz C, Baty F, Streibig JC, Gerhard D (2015) Dose-Response Analysis Using R. PLoS ONE 10(12): e0146021. .</p>
<p>This package actually has very useful functions, datasets and examples. In particular <strong>drm</strong> is an alternative to <strong>nls</strong>.</p>
</div>
<div id="easynls-pacakge" class="section level2">
<h2><strong>easynls</strong> pacakge</h2>
<p>Might make it easier to fit and plot a few different models.</p>
</div>
<div id="chngpt-pacakge" class="section level2">
<h2><strong>chngpt</strong> pacakge</h2>
<p>chngpt: threshold regression model estimation and inference. .</p>
</div>
<div id="mcp-package" class="section level2">
<h2><strong>mcp</strong> package</h2>
<p>mcp: package for multiple change points. Similar to the previous one, but it seems to use a Bayesian approach through JAGS. (<a href="https://lindeloev.github.io/mcp/" class="uri">https://lindeloev.github.io/mcp/</a>)</p>
</div>
<div id="nlsr-package" class="section level2">
<h2><strong>nlsr</strong> package</h2>
<p>This is an effort to replace ‘nls’ with a better algorithm, but it seems to be still in development. Main function is <strong>nlxb</strong>.</p>
</div>
<div id="propagate-package" class="section level2">
<h2><strong>propagate</strong> package</h2>
<p>This provides uncertainty for ‘nls’ objects via function ‘predictNLS’.</p>
</div>
<div id="car-package" class="section level2">
<h2><strong>car</strong> package</h2>
<p>“Companion to Applied Regression”. It has function ‘Boot’ which can do bootstrapping for ‘nls’ objects.</p>
</div>
<div id="hydrome-package" class="section level2">
<h2><strong>HydroMe</strong> package</h2>
<p>This package has functions for fitting water retention curves. It uses the ‘minpack.lm’ package which has a different implementation of the minimization algorithm (Levenberg-Marquardt).</p>
<p>This package has the following selfStart functions:</p>
<ol style="list-style-type: decimal">
<li>SSfredlund</li>
<li>SSgampt</li>
<li>SSgard</li>
<li>SSgardner</li>
<li>SShorton</li>
<li>SSkosugi</li>
<li>SSomuto</li>
<li>SSphilip</li>
<li>SSvgm</li>
</ol>
<p>And additional models, such as:</p>
<ol style="list-style-type: decimal">
<li>Tani</li>
<li>Brook</li>
<li>Campbel</li>
<li>Expo</li>
</ol>
</div>
<div id="additional-material-on-growth-models" class="section level2">
<h2>Additional material on growth models</h2>
<ol style="list-style-type: decimal">
<li><p>A unified approach to the Richards-model family for use in growth analyses: Why we need only two model forms. . Might incorporate this function in the package in the future.</p></li>
<li><p>The use of Gompertz models in growth analyses, and new Gompertz-model approach: An addition to the Unified-Richards family. (<a href="https://doi.org/10.1371/journal.pone.0178691" class="uri">https://doi.org/10.1371/journal.pone.0178691</a>).</p></li>
<li><p>Choosing the right sigmoid growth function using the unified-models approach. .</p></li>
<li><p>I find this post by Ben Bolker very interesting… <a href="https://stats.stackexchange.com/questions/231074/confidence-intervals-on-predictions-for-a-non-linear-mixed-model-nlme" class="uri">https://stats.stackexchange.com/questions/231074/confidence-intervals-on-predictions-for-a-non-linear-mixed-model-nlme</a></p></li>
</ol>
</div>
</div>
<!-- code folding -->
<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
(function () {
var script = document.createElement("script");
script.type = "text/javascript";
script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
document.getElementsByTagName("head")[0].appendChild(script);
})();
</script>
</body>
</html>