tag:blogger.com,1999:blog-80159255197044438182024-03-13T14:20:52.881+01:00last-ebdLaboratorio de Sistemas de Información Geográfica y Teledetección de la Estación Biológica de Doñana (CSIC)LAST-EBDhttp://www.blogger.com/profile/05168954105605503131noreply@blogger.comBlogger219125tag:blogger.com,1999:blog-8015925519704443818.post-36096664524558731272023-05-01T23:01:00.000+02:002023-05-01T23:01:11.423+02:00¿Y la marisma qué?<div style="text-align: left;"><span style="font-family: inherit;">Buenas, mucho tiempo sin escribir sobre la inundación de la marisma. En parte porque hay poca agua como todos sabéis, en parte porque entre lo que tengo que hacer, lo que quiero hacer y lo que tengo que estudiar, apenas tengo tiempo para nada. Y por desgracia, de esas 3 cosas lo relacionado con la marisma solo entraría en una categoría que ahora mismo es la menos importante 😥 ("Lo urgente nunca deja tiempo para lo importante", que decía Quino a través de Mafalda). Otro motivo es porque aparte de ser idiota también soy un bocazas, y seguramente vaya a decir muchas cosas que no deba, pero bueno, allá vamos.</span></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">La idea de este post viene de un curso de Google Earth Engine que dimos a finales de marzo. Uno de los ejercicios consistía en comparar la inundación máxima de la marisma obtenida con imágenes Landsat (con menos de un 15% de nubes) para 3 periodos:</span></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">Primer Periodo (1984-2000): 173 imágenes </span></div><div style="text-align: left;"><span style="font-family: inherit;">Segundo Periodo (2001-2011): 177 imágenes</span></div><div style="text-align: left;"><span style="font-family: inherit;">Tercer periodo (2012-2022): 219 imágenes</span></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;">Se trata de una app muy sencilla que podéis ver pinchando sobre la imagen (es posible que tarde un poco en refrescar, y a veces hay que darle a refrescar, ya que se va calculando todo sobre la marcha. De hecho, en realidad es una maravilla lo rápido que lo hace teniendo en cuenta el volumen de información que maneja. La magia de Google Earth Engine!). La intensidad del color indica básicamente la "claridad" con la que un pixel ha sido agua. Si os fijáis podréis ver que está muy relacionado con la profundidad/topografía de la marisma y también con la presencia de una cobertura vegetal más o menos densa.</div><div style="text-align: left;"><br /></div><div style="text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://digdgeografo.users.earthengine.app/view/flood-periods-donana" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="411" data-original-width="800" height="164" src="https://i.imgur.com/KeekG5l.jpg" width="320" /></a></div><div style="text-align: left;"><br /></div><div style="text-align: left;"><div>Hay cosas bonitas de ver, como el estrechamiento de la entrada de La Madre por El Rocío causado por el cono de deyección del arroyo de El Partido, o la recuperación de la entrada del agua del Guadiamar por el caño Travieso. Que por cierto, menos mal que se ha recuperado una entrada de agua más, y aún así la marisma está como está. También es verdad que solo entra cuando vienen crecidas por Entremuros y apenas ha habido en estos últimos 10 años. </div></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">Los resultados no por obvios son menos llamativos, la inundación máxima en la marisma en el <span style="color: #2b00fe;"></span><b><span style="color: #2b00fe;">Primer Periodo</span></b> fue del <b>89.9% </b>de su superficie total, en el <span style="color: #3d85c6;"><b>Segundo Periodo</b></span> del <b>81.2%</b> y en el <span style="color: #00ffcc;"><b>Tercer Periodo</b></span> de tan sólo un <b>57.8%</b>. En realidad estos datos están relativamente lejos de ser reales. </span></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">Aquí están los datos completos por recinto:</span></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">
<table border="1" class="dataframe">
<thead>
<tr style="text-align: center;">
<th></th>
<th>% Inundado P1</th>
<th>% Inundado P2</th>
<th>% Inundado P3</th>
<th>Area (ha)</th>
</tr>
<tr>
<th>Nombre</th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th>El Rincon del Pescador</th>
<td>97.2</td>
<td>81.2</td>
<td>25.9</td>
<td>3499.2</td>
</tr>
<tr>
<th>Marismillas</th>
<td>96.2</td>
<td>96.4</td>
<td>62.8</td>
<td>3860.9</td>
</tr>
<tr>
<th>Caracoles</th>
<td>22.5</td>
<td>39.7</td>
<td>22.8</td>
<td>2718.9</td>
</tr>
<tr>
<th>FAO</th>
<td>82.4</td>
<td>71.6</td>
<td>57.8</td>
<td>64.7</td>
</tr>
<tr>
<th>Marisma Occidental</th>
<td>90.0</td>
<td>91.7</td>
<td>69.6</td>
<td>11668.3</td>
</tr>
<tr>
<th>Marisma Oriental</th>
<td>93.5</td>
<td>98.2</td>
<td>62.1</td>
<td>9574.6</td>
</tr>
<tr>
<th>Entremuros</th>
<td>53.5</td>
<td>67.7</td>
<td>31.1</td>
<td>2617.3</td>
</tr>
</tbody>
</table>
<div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">Los sensores a bordo de los satélites Landsat trabajan en la zona óptica del espectro electromagnético y por tanto, se ven afectados por la presencia de nubes. Las puñeteras nubes tienen la costumbre de aparecer más cuanto más lluvioso es el año, eso lleva a que los años más lluviosos sean los que cuentan con menos imágenes válidas, y a que los momentos con mayor inundación suelan quedar en el olvido de los NoData. </span></div><div style="text-align: left;"><span style="font-family: inherit;">Digo esto porque me consta que al menos en el año 2010, la inundación de la marisma fue del 100%. Y lo sé porque estaba por allí dando vueltas en zodiac y en piragüa con nuestro compañero Abel (alguno hasta dio una vuelta con la piragüa en sentido equivocado 😅) y paseándome por la zona más alta de la marisma (finca de Caracoles) con más de medio metro agua cubriéndolo todo. </span></div><div style="text-align: left;"><span style="font-family: inherit;">Esto del ciclo hidrológico 2009/2010, que entra en el segundo periodo, explica porque en algunos recintos de la marisma la inundación fue mayor que en el primer periodo. Tiene que ver con que llovió mucho, por supuesto, pero tiene más que ver con la sobre-inundación provocada por el dique de la Montaña del Río (<a href="https://core.ac.uk/download/pdf/157759293.pdf" target="_blank">aquí tenéis mucho información de ese año</a>, por si a alguien le interesa). Será interesante ver como funciona la semi-permeabilización del dique que se ha hecho recientemente cuando vuelvan las crecidas.</span></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">¿Quiere esto decir que este tipo de análisis no sirve? No, ni mucho menos. La teledetección es como el algodón, que no engaña. La metodología empleada se basa en el cálculo de un índice muy utilizado para el estudio de masas de agua (<a href="https://www.tandfonline.com/doi/abs/10.1080/01431169608948714" target="_blank">NDWI</a>) para cada imagen. Y una vez obtenido, en calcular el valor máximo de cada pixel para el periodo (dado que en el NDWI los valores más altos se corresponden con masas de agua) que nos da la inundación máxima teórica obtenida en cada periodo.</span></div><div style="text-align: left;">Lo realmente importante es tener en cuenta que la metodología es exactamente la misma para los 3 periodos, de modo que son perfectamente comparables entre sí.</div><div style="text-align: left;"><br /><span style="font-family: inherit;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg3LBGfydkDMFvLdflQtL68TRW_ewSNbkTADxrjz_PULNUWjdt05SFkc1Cf3DuezbRg7jzBRtgz_oe7ZrAVrK1vVWPWHRpxRLKhYX9p82Bk4nQ-SHkJ18XbyMD-9wlmnmsS2FTzSbJvAW6Fnygbghu2xGedH4T6fcVVdt5BhmXnNKWVmP700tkMRQKfpw/s4500/recintos_graph.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="3000" data-original-width="4500" height="266" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg3LBGfydkDMFvLdflQtL68TRW_ewSNbkTADxrjz_PULNUWjdt05SFkc1Cf3DuezbRg7jzBRtgz_oe7ZrAVrK1vVWPWHRpxRLKhYX9p82Bk4nQ-SHkJ18XbyMD-9wlmnmsS2FTzSbJvAW6Fnygbghu2xGedH4T6fcVVdt5BhmXnNKWVmP700tkMRQKfpw/w400-h266/recintos_graph.jpg" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div></span></div><div>Bueno, la cosa fue que al terminar el curso me pareció interesante y me propuse hacer una aplicación un poco más elaborada, que por supuesto, dejé al poco de empezar por hacer cosas urgentes. Y al poco salió el <a href="https://www.sciencedirect.com/science/article/pii/S0048969723019484?via%3Dihub">artículo</a> tan bueno sobre la desecación de las lagunas de nuestros compañeros de la EBD. Total, que por un lado me quedé pensando ¿Y la marisma qué?, pero por otro pensé que no merecía la pena y que estaba bastante claro lo que estaba pasando también en la marisma fruto de la sequía y del expolio del agua del acuífero. </div><div><br /></div><div>En fin, es evidente que la marisma se está inundando menos, tanto espacial como temporalmente. Volverán años lluviosos, seguro. Y la marisma y las lagunas que llevan años sin agua volverán a llenarse, pero sin duda lo harán por menos tiempo. Y por cierto, con agua de peor calidad. <b>Se habla mucho de la cantidad de agua y poco de la calidad</b>. Todos esos cultivos intensivos no solo necesitan mucha agua, si no muchos aportes de nutrientes y productos fitosanitarios, gran parte de los cuales acaba en la marisma.</div><div><br /></div><div>Los compañeros de la EBD pusieron el foco en las lagunas. Este pequeño ejemplo que hicimos en el curso se centra en la marisma. Estaría bien (si lo urgente dejara) poner el foco en las balsas de riego que "inundan" (telita la ironía) la comarca de Doñana. ¿Que habrá pasado con ellas en estos periodos en los que la marisma y las lagunas se han ido secando? Aquí la teledetección, que como hemos dicho no engaña, puede ser muy útil para ver en cuanto se ha multiplicado la superficie de las balsas de agua. ¿A cuanto equivaldrán de la superficie de la marisma? ¿Y en volumen? La marisma es muy somera, a lo mejor sabiendo la profundidad media de las balsas de agua nos llevamos una sorpresa y resulta que tenemos varias marismas de Doñana almacenadas en las balsas de riego del entorno... </div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXp4c65m5zl-IQkB2mke9WVxs_y6Uf3QkzeleOQto8if0-GIPf3zlaRnhjM75OiymKGpVyafmv24F8vJbWMWp6u_nBvURSxoRrNHG6G6H1oSJM2oCVYP65JyjvGHiYCRTqJy8IVjRRwK3MZJ2prcJE7Dus-9re2IOocC37tO1PjvMCy-YS80KYhV63Sw/s3840/pins-story.gif" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1988" data-original-width="3840" height="208" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXp4c65m5zl-IQkB2mke9WVxs_y6Uf3QkzeleOQto8if0-GIPf3zlaRnhjM75OiymKGpVyafmv24F8vJbWMWp6u_nBvURSxoRrNHG6G6H1oSJM2oCVYP65JyjvGHiYCRTqJy8IVjRRwK3MZJ2prcJE7Dus-9re2IOocC37tO1PjvMCy-YS80KYhV63Sw/w400-h208/pins-story.gif" width="400" /></a></div><div><br /></div><div>Arriba hay una gif que muestra en falso color (vegetación en rojo y agua en azul oscuro) la cabecera del arroyo de La Rocina en 1984 y en 2023. Se pueden ver perfectamente los invernaderos y las balsas de agua asociadas a ellos que han ido invadiendo el espacio.</div><div><br /></div><div>Abajo está la versión que empecé a hacer de la app con la comparativa por periodos, a la que algún día volveré a ver si soy capaz de añadir lo de las balsas de riego. Me da mucha curiosidad ver las fechas en las que se han ido creando y su relación con los distintos planes de ordenación. También tengo mucha intriga por ver que está pasando en estos días al amparo de la propuesta de amnistía. ¿Habrá aquí "efecto llamada"? Sería irónico que los que usan ese termino de forma execrable en el contexto de la inmigración estén creando uno con la agricultura ilegal. Tan irónico como que los que no faltan un domingo por la mañana a misa para purgar los pecados del sábado noche, sean los que nos acusen de fanáticos del Calentamiento Global o de feligreses del Cambio Climático. A mí me resulta enternecedor, en el fondo es que se dan cuenta ellos solitos. </div><div><br /></div><div>En esta versión de la app se muestran las 3 máscaras de agua sobre el mismo mapa, y además de ir más rápido permite seleccionar un recinto de la marisma y ver la evolución de la superficie inundada en los 3 periodos en un gráfico. Estos recintos se basan en la topografía de la marisma y en las entradas de agua en ella. De modo que se trata de recintos en los que la inundación es homogénea. En función de las condiciones de inundación puede haber una serie de sub-recintos y a partir de cierta cota (1.8 m s.n.m. si no recuerdo mal) toda la marisma se conecta y funciona como un recinto único con la misma cota de inundación. Aprovecho para decir que ya que tenemos la suerte de contar en la EBD con la persona que probablemente mejor conoce la hidro-dinámica de la marisma de Doñana, estaría muy bien contar con su apoyo (y sus shapefiles) para este tipo de estudios. </div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://digdgeografo.users.earthengine.app/view/ndwi-periods-graph" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="736" data-original-width="800" height="368" src="https://i.imgur.com/tBR9uEs.jpg" width="400" /></a></div><div><br /></div><div><br /></div><div>Seguro que las cosas son complicadas, o igual no, igual son tan simples que da miedo verlo. Pero yo como idiota que soy no puedo evitar imaginarme a alguien que lleva años robando en el banco de su barrio, y no solo es que la policía no le detenga, si no que le sacan una ley para que pueda seguir robando tranquilamente. Que para eso lleva décadas robando allí y ese es su barrio de toda la vida y si la gente saca dinero de allí por qué él no va a poder también, aunque sea a punta de pistola. Y que como no pueda seguir robando le mete fuego al barrio "joío dios, cago en la virgen" terminaría seguramente diciendo para reforzar sus argumentos. </div><div><br /></div><div>Pero el problema no es ese, el problema son los voceros. Vivimos en el país de TeleCirco y el furgol, el país que ha hecho lema de aquello de que arrogante es la ignorancia, con esa memorable frase de "Soy español, ¿a que quieres que te gane?". El país en el que mientras se descubrían casos de corrupción generalizada por parte del Gobierno y la Casa Real, se discutía en los telediarios y tertulias sobre si Pablo Iglesias usaba Fairy en lugar de un lavavajillas de marca blanca (y esto, por desgracia, no es una exageración). Así que no es de extrañar que si uno enciende la televisión o escucha la radio, le estén bombardeando constantemente con la imagen de unos pobres señores agricultores y sus familias que no quieren más que "subsistir" (usan mucho esa palabra) en el lugar que les vio nacer y del que llevan años cuidando. </div><div><br /></div><div>Me cuesta no decir lo que me gustaría porque no es el lugar, bastante llevo ya, pero al menos decir que los que subsisten son los que están metidos en los invernaderos cobrando la hora a menos de lo que vale una tarrinita de 100 grs de arándanos, que son los mismos que van a las manifestaciones pro-riego obligados en furgonetas. Los que llegan en coches 4x4 de 60.000 euros hacen otra cosa, que puede ser muy honorable, pero que no es subsistir precisamente.</div><div><br /></div><div>Bueno, me despido pidiendo perdón a mis compañeros del LAST, sobre todo a Javier que es el dueño del blog, por dejar unos cuantos comentarios muy personales. Me he guardado muchos más con todo el dolor de mi corazón, pero después de verlos escritos he pensado que era mejor caer en la auto-censura. En el mejor de los casos no vendrá nada de aquí, en el peor a saber... Pero no me parecía bien no poner mi mini granito de arena en la injusticia que se está cometiendo estos días en Doñana. Y dejando de lado mis opiniones que gustarán más o menos, ahí están los datos de la evolución en la inundación de la marisma. </div><div><br /></div><div>Saludos y gracias por leer esto!</div></span></div>Diegohttp://www.blogger.com/profile/15372433269251168203noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-54122527001754177212022-12-20T13:37:00.005+01:002022-12-20T13:46:45.275+01:00Nueva adquisición: Impresora 3D + escáner<p></p><p class="MsoNormal" style="text-align: justify;"><span style="mso-fareast-language: ES; mso-no-proof: yes;"><!--[if gte vml 1]><v:shapetype id="_x0000_t75"
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<p class="MsoNormal" style="text-align: justify;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTSqNUzvye1ErFIqvE8DquAspmnIVDhKFZOZbF1h3u4vVpgB5O7Kgc9tToAwakdSFTjiX0Q6Yu3DL261Tk3AEBX9cmjnYlEpR90CKBD76wFA9pDy598P6hg0vcQvZcBPn8TO_0wNZPuZ2SwjUUcFSCNBRmWpmMaiSCWjga1iKzLS1qjfs1sk_cCTAeRQ/s1181/logosumhal.jpg" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="896" data-original-width="1181" height="121" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTSqNUzvye1ErFIqvE8DquAspmnIVDhKFZOZbF1h3u4vVpgB5O7Kgc9tToAwakdSFTjiX0Q6Yu3DL261Tk3AEBX9cmjnYlEpR90CKBD76wFA9pDy598P6hg0vcQvZcBPn8TO_0wNZPuZ2SwjUUcFSCNBRmWpmMaiSCWjga1iKzLS1qjfs1sk_cCTAeRQ/w160-h121/logosumhal.jpg" width="160" /></a></div>A través del <span style="mso-ascii-font-family: Calibri; mso-bidi-font-family: Calibri; mso-hansi-font-family: Calibri;">Proyecto LifeWatch ERIC – SUMHAL, ref. LIFEWATCH-2019-09-CSIC-13
(Sustainability for Mediterranean hotspots in Andalusia integrating LIFEWATCH
ERIC)</span>, LAST-EBD ha adquirido un conjunto de impresora 3D (modelo
Ultimaker S5 Pro Bundle) con un escáner de mano (modelo EinScan Pro HD). Concretamente
dentro de la subtarea WP6.2 que tiene como objetivo la adquisición sistemática
y procesado automático de flujos de agua (evapotranspiración) y carbono
(fijación) por la vegetación, humedales y suelos de Doñana mediante torres de
flujos (técnica de Eddy-Covariance) y el uso de estos datos obtenidos en campo
para validación de productos derivados de imágenes de
teledetección (satélite, aeroportadas y desde dron).<o:p></o:p><p></p>
<p class="MsoNormal" style="text-align: justify;">El escáner de mano permite
digitalizar objetos de hasta 4 metros en tiempo real y llegando a una
resolución de 0.2 mm. La impresora puede imprimir objetos de hasta 30 cm con un
grosor de también 0.2 mm.<span style="mso-spacerun: yes;"> </span>(Figura 1). Ambos aparatos estarán ubicados y gestionados
dentro del LAST, y se ofrecerá próximamente como un <a href="https://www.csic.es/es/investigacion/catalogo-de-servicios-cientifico-tecnico/unidades-de-servicio/laboratorio-de-sistemas" target="KHcGivSmUfdCamcs0qUD54a"><span color="windowtext" style="mso-ascii-font-family: Calibri; mso-bidi-font-family: Calibri; mso-hansi-font-family: Calibri;">servicio
científico-técnico</span></a> más del
Laboratorio.</p>
<p class="MsoNormal" style="text-align: justify;"></p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZB9oJYZOBJWegf1VUvKx0BVvhotpfRylnGU9gIDs6MmyfX3CnQDOhmrAVuvsqMCDZEOcifYsKytxecd59J-8WdmnESaxEBvyt8kfO8WyVPl6DXKGP_qjaCdkXxk_HS8pWlDErzGRFEVvEKuoG4K7dJXv-vGHYHXE41w-D2f8LllIzpEAUFnqfpg0PJQ/s889/Fig_1.jpg" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="505" data-original-width="889" height="234" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZB9oJYZOBJWegf1VUvKx0BVvhotpfRylnGU9gIDs6MmyfX3CnQDOhmrAVuvsqMCDZEOcifYsKytxecd59J-8WdmnESaxEBvyt8kfO8WyVPl6DXKGP_qjaCdkXxk_HS8pWlDErzGRFEVvEKuoG4K7dJXv-vGHYHXE41w-D2f8LllIzpEAUFnqfpg0PJQ/w411-h234/Fig_1.jpg" width="411" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;">Figura 1. a) Impresora 3D modelo
Ultimaker S5 Pro Bundle. b) Escáner modelo
EinScan Pro HD</td></tr></tbody></table><br /><p></p><p class="MsoNormal" style="text-align: justify;">Con este conjunto se puede
escanear una pieza y casi automáticamente conseguir un modelo 3D para su
impresión. Se adquirieron con la idea inicial de digitalizar piezas de drones
para replicarlas (Figura 2) y también imprimir maquetas topográficas de
cualquier zona capturada con nuestro lidar a bordo de dron (Zenmuse L1) o con
el láser terrestre BLK2GO o especies representativas de Doñana para su
posterior uso en divulgación (Figura 3).</p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeISLGNVdHh4wQ1pHtA6Qu6vS8CiDWTBKLX9lO_mVEBHWa-WWKbB91nVHZ83FotGxowmlo2mKFsemLlHVbRmRJHgBOTELpFuew3KK9sIZBpY_uzfo5mn4wvlR25MVJSbr7IhclSYBMbl3VTWk-OHp2hEvP_syqBkCCGMhjGj8JG42kR3L1D0axEZOunw/s4032/Foto_03.jpg" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="3024" data-original-width="4032" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeISLGNVdHh4wQ1pHtA6Qu6vS8CiDWTBKLX9lO_mVEBHWa-WWKbB91nVHZ83FotGxowmlo2mKFsemLlHVbRmRJHgBOTELpFuew3KK9sIZBpY_uzfo5mn4wvlR25MVJSbr7IhclSYBMbl3VTWk-OHp2hEvP_syqBkCCGMhjGj8JG42kR3L1D0axEZOunw/s320/Foto_03.jpg" width="320" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;">Figura 2. Escaneo y modelado en 3D de una pieza para dron.</td></tr></tbody></table><br /><p class="MsoNormal" style="text-align: justify;"><br /></p>
<p class="MsoNormal" style="text-align: justify;"></p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihFgGS2w8YffDv1T0yjeJ8PMF9aaWk7Y1J6sc0xFp3dqpMGdID2IkG0DFSOPWNGjv5wDm0OgD-g6LrbewDJYo9Css0YTUysbWMNNk1m68thAGfC9SGkH0pmURA4H9u4bHwwM5N8JNpNNUxyzjalR8pGzJIDTxnhclVjHraKP3NNWranGXrEHTIYtUijg/s4032/Foto_04.jpg" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="3024" data-original-width="4032" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihFgGS2w8YffDv1T0yjeJ8PMF9aaWk7Y1J6sc0xFp3dqpMGdID2IkG0DFSOPWNGjv5wDm0OgD-g6LrbewDJYo9Css0YTUysbWMNNk1m68thAGfC9SGkH0pmURA4H9u4bHwwM5N8JNpNNUxyzjalR8pGzJIDTxnhclVjHraKP3NNWranGXrEHTIYtUijg/s320/Foto_04.jpg" width="320" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;">Figura 3. Escaneo y modelado en 3D de una pequeña sabina.</td></tr></tbody></table><br />Además de nuestro pensamiento
inicial, se puede modelizar para imprimir cualquier cosa que se ocurra (dentro
del tamaño máximo) y luego imprimir, un ejemplo de esto nos lo ha dado nuestro
compañero David Aragonés (Figura 4).<o:p></o:p><p></p><br />
<p class="MsoNormal" style="text-align: justify;"></p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgoXkubK_kC8xH6tXcVYsIzVLOQbln2kdueihiuqKSNkys9aGsHizylPXD8rZRGtPGl7aiGknyH0mk4zP4uFxlTbItilqvDnyXRsBXgJEuT1wdtbHv5TEw_-wGqmisgqoBtelhbCuszCn6XNg-64Xdfipd377ihpJAsLTrpUTXS4AVEAJiTgWkxUtAr4Q/s1600/Foto_05.jpg" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1200" data-original-width="1600" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgoXkubK_kC8xH6tXcVYsIzVLOQbln2kdueihiuqKSNkys9aGsHizylPXD8rZRGtPGl7aiGknyH0mk4zP4uFxlTbItilqvDnyXRsBXgJEuT1wdtbHv5TEw_-wGqmisgqoBtelhbCuszCn6XNg-64Xdfipd377ihpJAsLTrpUTXS4AVEAJiTgWkxUtAr4Q/s320/Foto_05.jpg" width="320" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;">Figura 4. Cuerno y su réplica obtenida a escala 1:10.</td></tr></tbody></table><br /><o:p></o:p><p></p>
<p class="MsoNormal" style="text-align: justify;">Muchos más ejemplos de
digitalizaciones se pueden encontrar en la web del escáner:<o:p></o:p></p>
<p class="MsoNormal" style="text-align: justify;"><a href="https://www.einscan.com/handheld-3d-scanner-es/einscan-pro-hd-es/">https://www.einscan.com/handheld-3d-scanner-es/einscan-pro-hd-es/</a><o:p></o:p></p>
<p class="MsoNormal" style="text-align: justify;">Aparte del uso que se le pueda
dar al escáner, lógicamente la impresora puede imprimir cualquier modelo 3D
diseñado o descargado por internet (siempre que tenga formato compatible). <o:p></o:p></p>
<p class="MsoNormal" style="text-align: justify;">Os animamos a que saquéis
provecho de este nuevo servicio del LAST-EBD con vuestras ideas.<o:p></o:p></p>
<p class="MsoNormal" style="text-align: justify;"><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;">Además, el Laboratorio de SIG y
Teledetección participa dentro de la Infraestructura <a href="https://www.dissco.eu/" target="cP5XWYcG57XakiXOY602Zy1"><span color="windowtext">DissCo</span></a>, que pretende integrar a todas las
colecciones europeas de forma centralizada. Uno de los apoyos que el
laboratorio puede ofrecer a esta plataforma es el uso de instrumental
tecnológico como el que hoy os presentamos, con el objetivo de poder modelizar
en 3D y conservar de forma digital piezas de la </span><a href="http://www.ebd.csic.es/colecciones-cientificas" target="yYz7IPPFDDOBjDukDkCCqqD"><span color="windowtext" style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;">Colección Científica de
Vertebrados</span></a><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"> de la Estación Biológica de Doñana, las segundas más
importantes de España en el campo de la zoología de vertebrados. Muchos
museos han entrado ya en la era virtual a través de la modelización 3D de sus
piezas, como el </span><a href="https://sketchfab.com/britishmuseum/models" target="fm2YkY4HYvbM9_-eaqBzMpe"><span color="windowtext" style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;">Museo Británico</span></a><span style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;">.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align: justify;"><o:p> </o:p></p>Pedro Gómezhttp://www.blogger.com/profile/11484197579218616770noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-7070101354337044252022-07-21T17:35:00.000+02:002022-07-21T17:35:32.146+02:00Characterizing and mapping Tropical Montane Cloud Forest in Central Veracruz (Mexico) using Land Surface Phenology<h2 style="text-align: left;"><span style="color: #38761d;">La Fenología de la superficie terrestre nos permite caracterizar y cartografiar el Bosque Mesófilo de Montaña en el centro de Veracruz (México)</span></h2><p><!--[if gte mso 9]><xml>
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</p><p class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;"><span style="font-family: "Times New Roman",serif; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: ES;">Esta comunicación
en formato poster fue presentada en el congreso COSPAR (<a href="https://www.cosparathens2022.org/">https://www.cosparathens2022.org/</a>) el 19
de Julio de 2022 en Atenas, como parte de los trabajos que estamos realizando
en México para el Seguimiento de los Bosque mediante Teledetección. El objetivo
de este trabajo fue evaluar el potencial de las series temporales de índices de
vegetación obtenidas mediante imágenes de satélite y de sus métricas fenológicas
derivadas para cartografiar el Bosque Mesófilo de Montaña en esta zona de alta
diversidad biológica.</span></p>
<p class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto;"><span style="font-family: "Times New Roman",serif; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: ES;">El Bosque
Mesófilo de Montaña está formado por una mezcla de especies vegetales de
procedencia boreal y neotropical (con un total de 6 790 especies), además de un
alto grado de endemismos (1 412 especies endémicas restringidas) tanto de
origen antiguo como reciente (Villaseñor, 2010). Esta zona está considerada en
la categoría de “Bosques Raros” dentro de los “Puntos Calientes de
Biodiversidad” (Gillespie et al. 2012)</span></p>
<p class="MsoNormal"><span style="font-family: "Times New Roman",serif; font-size: 12.0pt; line-height: 107%; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: ES;">Utilizamos el programa Timesat 3.3 (Eklundh, L., Jönsson, P., 2015) para extraer
las métricas fenológicas: fecha de inicio de la estación de crecimiento (SOS),
fecha de fin de la estación de crecimiento (EOS), fecha de la mitad de la estación
de crecimiento (MOS), valor máximo ajustado del índice de vegetación (MAX) y la
amplitud estacional (AMP), tanto de las series temporales del índice de
vegetación de diferencia normalizada (NDVI) como de las del índice de
vegetación mejorado (EVI) del producto MOD13Q1 V006 originales y suavizadas
mediante el algoritmo Breaks for additive Season and Trend (BFAST) (Verbesselt et
al, 2010). Entrenamos diferentes modelos de clasificación probabilística usando
el algoritmo de Random Forest con 28 grupos de datos y 4 314 pixeles en donde conocíamos
el uso del suelo a partir de trabajo de campo y fotointerpretación.</span></p>
<p class="MsoNormal"><span style="font-family: "Times New Roman",serif; font-size: 12.0pt; line-height: 107%; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: ES;">El mejor modelo con una exactitud para el Bosque Mesofilo del 89.1% fue el
que utilizó la mediana de los valores de las métricas fenológicas junto con las
variables fisiográficas de la serie suavizada con BFAST del NDVI. Las variables
mas importantes fueron la elevación y la amplitud estacional. El Bosque Mesófilo
de Montaña cubre el 9.3% de la superficie estudiada.</span></p>
<p class="MsoNormal"><span style="font-size: x-small;"><span style="font-family: "Times New Roman", serif; line-height: 107%;">Eklundh, L., Jönsson, P., 2015. </span><span lang="EN-GB" style="font-family: "Times New Roman", serif; line-height: 107%;">TIMESAT: A
Software Package for Time-Series Processing and Assessment of Vegetation
Dynamics, en: Kuenzer, C., Dech, S., Wagner, W. (Eds.), Remote Sensing Time
Series: Revealing Land Surface Dynamics. Springer International Publishing, pp.
141-158. <a href="https://doi.org/10.1007/978-3-319-15967-6_7">https://doi.org/10.1007/978-3-319-15967-6_7</a>
</span></span></p><span style="font-size: x-small;">
</span><p class="MsoNormal"><span style="font-size: x-small;"><span style="font-family: "Times New Roman", serif; line-height: 107%;">Gillespie, T.W., Lipkin, B., Sullivan, L. et al.,2012. </span><span lang="EN-GB" style="font-family: "Times New Roman", serif; line-height: 107%;">The rarest and least protected forests in biodiversity hotspots. Biodivers
Conserv 21, 3597–3611. <a href="https://doi.org/10.1007/s10531-012-0384-1">https://doi.org/10.1007/s10531-012-0384-1</a></span></span></p><span style="font-size: x-small;">
</span><p class="MsoNormal"><span style="font-size: x-small;"><span lang="EN-GB" style="font-family: "Times New Roman", serif; line-height: 107%;">Verbesselt, J., Hyndman, R.,
Newnham, G., Culvenor, D., 2010. Detecting trend and seasonal changes in
satellite image time series. </span><span style="font-family: "Times New Roman", serif; line-height: 107%;">Remote Sens. Environ. 114, 106-115. <a href="https://doi.org/10.1016/j.rse.2009.08.014">https://doi.org/10.1016/j.rse.2009.08.014</a>
</span></span></p><span style="font-size: x-small;">
</span><p class="MsoNormal"><span style="font-size: x-small;"><span style="font-family: "Times New Roman", serif; line-height: 107%;">Villaseñor, José Luis. 2010.</span> El bosque húmedo de montaña en México y
sus plantas vasculares: catálogo florístico-taxonómico. Comisión
Nacional para el Conocimiento y Uso de la Biodiversidad - Universidad
Nacional Autónoma de México. 40 pp. México, D.F.</span></p><p class="MsoNormal"><span style="font-size: x-small;"></span></p><div class="separator" style="clear: both; text-align: center;"><span style="font-size: x-small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhqol-RbF--5FWP-xPkZhlrcZZsug8P6r5O3hszHlM_Gc9Xwyon-YpBWpGAFKJttaWSfNsYMXuRyOyGZiREXCBQOIeicXAHQbb6yPDBom4oVeVZVphcfPPCHEag_HnrsC5_939QmQAMPZqKy0Crbz5aU_pUN8Ol2bIhxB2btovNC6V7xNHlupAxq-MJ/s11952/cospar_daragones.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="11952" data-original-width="8367" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhqol-RbF--5FWP-xPkZhlrcZZsug8P6r5O3hszHlM_Gc9Xwyon-YpBWpGAFKJttaWSfNsYMXuRyOyGZiREXCBQOIeicXAHQbb6yPDBom4oVeVZVphcfPPCHEag_HnrsC5_939QmQAMPZqKy0Crbz5aU_pUN8Ol2bIhxB2btovNC6V7xNHlupAxq-MJ/w448-h640/cospar_daragones.jpg" width="448" /></a></span></div><span style="font-size: x-small;"><br /> </span><p></p>
<p></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-6006612960230541242022-06-07T09:39:00.000+02:002022-06-07T09:39:11.231+02:00Small-scale logging documented through remote sensing monitoring. <h2 style="text-align: center;"><span style="color: #38761d;">¿Podemos detectar la tala ilegal a pequeña escala o tala hormiga, mediante el análisis de series temporales de índices de vegetación a partir de imagenes MODIS?</span></h2><p>El pasado mes de mayo, presentamos en el <span class="module-toolbar-conference-name">Living Planet Symposium 2022, </span>parte de los trabajos que estamos realizando en México, para el seguimiento de los bosques mediante teledetección. El objetivo de este trabajo analiza los cambios que estan ocurriendo en el Bosque de niebla tropical de montaña del centro de Veracruz, México y en el agroecosistema del cafe bajo sombra donde el manejo tradicional preserva el dosel arboreo. </p><p><span class="VIiyi" lang="es"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="8" data-phrase-index="0"><span class="Q4iAWc">Los cambios abruptos en grandes áreas son fáciles de detectar mediante teledetección.</span></span> Sin embargo<span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="8" data-phrase-index="1"><span class="Q4iAWc">, tambien es posible detectar el camibio cuando se produce de forma progresiva y lenta.</span></span><span class="JLqJ4b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="8" data-phrase-index="2"><span class="Q4iAWc"> Para lo cual, utilizamos los compuestos de 16 dias del indice de vegetacion del producto MOD13Q1 v6 con una resolucion espacial de 250 m de los ultimos 20 años (500 imagenes) y el algoritmo de deteccion de cambios </span></span></span><span class="VIiyi" lang="es"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="3" data-phrase-index="2"><span class="Q4iAWc">Breaks For Additive Season and Trend (BFAST) implementado en R. Extrajimos la tendencia de la serie temporal para aquellos píxeles que no tenían cambios abruptos.</span></span></span></p><p><span class="VIiyi" lang="es"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="3" data-phrase-index="2"><span class="Q4iAWc"><span class="VIiyi" lang="es"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="4" data-phrase-index="0"><span class="Q4iAWc">De esta manera, cartografiamos el cambio del indice de vegetacion. </span></span><span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="4" data-phrase-index="1"><span class="Q4iAWc">Los resultados mostraron que, en los últimos 20 años, el 41,57 % de la superficie cambió abruptamente, el 21,97 % se mantuvo intacto, el 24,96 % aumentó levemente el indice de vegetacion, el 9,75 % aumentó considerablemente</span></span><span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="4" data-phrase-index="2"><span class="Q4iAWc">, el 1,43 % disminuyó levemente (72 % de esta área se ubicaba en entornos urbanos o a menos de 1,5 km de ellos) y el 0,31 % disminuyó considerablemente (92 % de esta área se ubicaba</span></span> <span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="4" data-phrase-index="3"><span class="Q4iAWc">cerca de entornos urbanos).</span></span></span></span></span></span></p><div class="J0lOec"><span class="VIiyi" lang="es"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="2" data-phrase-index="0"><span class="Q4iAWc">Podimos observar en estas áreas, procesos de deforestación asociados a la preparación de terrenos para su venta como suelo urbanizable, asentamientos irregulares, extracción de madera y leña yconversión a uso agrícola o ganadero.</span></span> <span class="JLqJ4b ChMk0b" data-language-for-alternatives="es" data-language-to-translate-into="en" data-number-of-phrases="2" data-phrase-index="1"><span class="Q4iAWc">Nuestros hallazgos concuerdan con la alarma de la comunidad científica al advertir sobre una eventual interrupción dramática de los corredores naturales debido al desarrollo urbano.</span></span></span></div><p style="text-align: center;"></p><div class="separator" style="clear: both;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEibA78Q5VUvoiKCLustOLISzvsuf05X9FSk2r84zE_B0altKQQzh9DHk_PH6OcQMKr3Cr3B753u2i7fT0F3L5l4VAvGFu3qXVAxylfZI358dd5dqt3jI--UDFmQZxajf9c4mqLnyl_eU9E2oAvKm3l8TWvatA4KaUOyQ3odULwhf558cvJ-kVHwBm2H/s5951/LPS_aragones_2022.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="5951" data-original-width="4201" height="486" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEibA78Q5VUvoiKCLustOLISzvsuf05X9FSk2r84zE_B0altKQQzh9DHk_PH6OcQMKr3Cr3B753u2i7fT0F3L5l4VAvGFu3qXVAxylfZI358dd5dqt3jI--UDFmQZxajf9c4mqLnyl_eU9E2oAvKm3l8TWvatA4KaUOyQ3odULwhf558cvJ-kVHwBm2H/w343-h486/LPS_aragones_2022.png" width="343" /></a></div><p></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-41799187039255840172022-03-28T11:51:00.000+02:002022-03-28T11:51:23.950+02:00XI Aniversario LAST-EBD<p> Tras varios años sin poder celebrarlo,
<br /> </p><p>¡¡ Por fin!! Hemos podido juntarnos para celebrar <br />
<br />Con la familia e hijos, amigos, usuarios, investigadores, doctorandos y
colaboradores </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjGVOGSZ71bmszsJu61qFCVvLRzSGIU0A_wiS3_I2TbX8pG7-kdd3VllcDkTE05pCPX5QNHpL4tVobLbCFbEBZevbzsLz3QJnTYKv1iw2dOCr9oqgRdbmPmd9rTizgDo9efqbVs18VmKJAsu3EBffOnod_kN0gA1cPnAiOKcBcImbc-8XtzejhADwrU/s2000/WhatsApp%20Image%202022-03-26%20at%2020.39.17.jpeg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="1200" data-original-width="1600" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgoNwUa0rddLZGZmFKhdpPmwz09k85HA_IR8n_ziLWzMycwbOf-8ZYQETpo9cvm0ZHCu1SlM8aCYKOtBpD9xZ19-Jyna-gVL6j2S2hlqhe7Bbvgba-gupTy_or4Y5oGKhFgxFeHD2AWiDlaKPFtypUfsSP8uWSS74dEM-OQ8bo_im86pnKMpRtefCw1/s320/WhatsApp%20Image%202022-03-26%20at%2018.33.55(1).jpeg" width="320" /></a></div><p></p><p><img border="0" data-original-height="2000" data-original-width="1500" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjGVOGSZ71bmszsJu61qFCVvLRzSGIU0A_wiS3_I2TbX8pG7-kdd3VllcDkTE05pCPX5QNHpL4tVobLbCFbEBZevbzsLz3QJnTYKv1iw2dOCr9oqgRdbmPmd9rTizgDo9efqbVs18VmKJAsu3EBffOnod_kN0gA1cPnAiOKcBcImbc-8XtzejhADwrU/s320/WhatsApp%20Image%202022-03-26%20at%2020.39.17.jpeg" width="240" /></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaLsL1SnOXOj5anj9CCn0mH6pa3TctpbqnU5N_Lx88ScB-MZxNksSN4BlF-WJfdalAWujCxOQeutn-vp3brKPyRboIWJAWaGL5VFWGWV056RtlwBjzEoDTx5frqKClLJ1bXzDqUEdzVVpDDjeyWQdroMjLiMuNa_krOKIh1v2JxvYtTzGWBY_w9_4h/s2000/WhatsApp%20Image%202022-03-26%20at%2020.39.17(1).jpeg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="2000" data-original-width="1500" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaLsL1SnOXOj5anj9CCn0mH6pa3TctpbqnU5N_Lx88ScB-MZxNksSN4BlF-WJfdalAWujCxOQeutn-vp3brKPyRboIWJAWaGL5VFWGWV056RtlwBjzEoDTx5frqKClLJ1bXzDqUEdzVVpDDjeyWQdroMjLiMuNa_krOKIh1v2JxvYtTzGWBY_w9_4h/s320/WhatsApp%20Image%202022-03-26%20at%2020.39.17(1).jpeg" width="240" /></a></div><br /> <p></p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p>Estuvimos en el parque de la Zahurdilla en las Pajanosas al final de la calle Roma<br />
<br /><a class="moz-txt-link-freetext" href="https://www.google.com/maps/place/Parque+La+Zahurdilla+(Las+Pajanosas)/@37.5846419,-6.0863881,861m/data=!3m1!1e3!4m5!3m4!1s0x0:0xe0d0e58b140f82bb!8m2!3d37.5850153!4d-6.0856362">https://www.google.com/maps/place/Parque+La+Zahurdilla+(Las+Pajanosas)/@37.5846419,-6.0863881,861m/data=!3m1!1e3!4m5!3m4!1s0x0:0xe0d0e58b140f82bb!8m2!3d37.5850153!4d-6.0856362</a>
<br />
<br />Comimos y nos tomamos unas cervecitas y un paseo por el campo
<br /> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi_sYSOChegZRjMBsv6uPca94xDcWJIjp3W60IpY8M-ooiUOPzwIq7bzhUAxEjYCJ11ZScwzxvtoNX2f8i506l3iBXpzXzDrrUyrS6aq-JjSu-ryBQw4yqG0TMLc4vdG7haPb14AZ70bn5otMMY8ePxAPz2v_Zvm62kA5OH7IhluOOhnPBKFUWyblT6/s2000/WhatsApp%20Image%202022-03-26%20at%2020.39.15.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1500" data-original-width="2000" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi_sYSOChegZRjMBsv6uPca94xDcWJIjp3W60IpY8M-ooiUOPzwIq7bzhUAxEjYCJ11ZScwzxvtoNX2f8i506l3iBXpzXzDrrUyrS6aq-JjSu-ryBQw4yqG0TMLc4vdG7haPb14AZ70bn5otMMY8ePxAPz2v_Zvm62kA5OH7IhluOOhnPBKFUWyblT6/s320/WhatsApp%20Image%202022-03-26%20at%2020.39.15.jpeg" width="320" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgsdtknAOYuluw_qmIgS7V9MZjXn1XH_Lal_ISJD4RAqo0t0O3qZt9vMXSdMo5Y9JojLkKXzXLSUSj-ezT-Bo7ZdHT_nyVWRdYUlUqrDuQMYoKfE8YyVz98QZKvI6JSJrZ6Fq0sKROvwHnjoXzZZrLBLev3jgXIfeckCuTOOB6BdmSPaAq_kp3Tomc9/s2000/WhatsApp%20Image%202022-03-26%20at%2020.39.15(1).jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="2000" data-original-width="1500" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgsdtknAOYuluw_qmIgS7V9MZjXn1XH_Lal_ISJD4RAqo0t0O3qZt9vMXSdMo5Y9JojLkKXzXLSUSj-ezT-Bo7ZdHT_nyVWRdYUlUqrDuQMYoKfE8YyVz98QZKvI6JSJrZ6Fq0sKROvwHnjoXzZZrLBLev3jgXIfeckCuTOOB6BdmSPaAq_kp3Tomc9/s320/WhatsApp%20Image%202022-03-26%20at%2020.39.15(1).jpeg" width="240" /></a></div><p></p><p>Durante el Bioblitz todos estuvimos aprendiendo sobre renacuajos y otros animales acuaticos ademas de algunas huellas de mamiferos silvestres<br />
<br /><a class="moz-txt-link-freetext" href="https://www.inaturalist.org/projects/i-bioblitz-la-zahurdilla-last-ebd">https://www.inaturalist.org/projects/i-bioblitz-la-zahurdilla-last-ebd</a>
<br />
</p><br /><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0V84f3Q-K23AUp6-Sfpk_O3TxFh3xr7uTus7_vgBLCQJtsKq5OZJWBWE4RDXR_s-SScN-wYya-mH9e8JzcNb-9pN_znauC5ax86hdxJPQ_Ib6tPsL6JLRtQozOyb--NC1uKDGinE3JQ71iZDaRsPJN2N4kkpA-NIzKDU7gOWJFYCpY8z-FYrMNmdO/s1736/WhatsApp%20Image%202022-03-26%20at%2020.10.58(2).jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1736" data-original-width="1736" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0V84f3Q-K23AUp6-Sfpk_O3TxFh3xr7uTus7_vgBLCQJtsKq5OZJWBWE4RDXR_s-SScN-wYya-mH9e8JzcNb-9pN_znauC5ax86hdxJPQ_Ib6tPsL6JLRtQozOyb--NC1uKDGinE3JQ71iZDaRsPJN2N4kkpA-NIzKDU7gOWJFYCpY8z-FYrMNmdO/s320/WhatsApp%20Image%202022-03-26%20at%2020.10.58(2).jpeg" width="320" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjBKXfyXERu-9f7LTCdHaQsJmb2A1D_utYXG2BZMd2Spg_r4-hV9YINheSNFzxJgObX5rwtFbSjsxFBWMd-WWt6jQ8jp_MpwwgI7m17O6s5cBpLbjEnmAtKBIMD5H0d_kaL75p1e4O4MSGOjNHN5Hn0qxuyQLHSbLizuTmI9iqTcdwwyOt0BI3TPYS_/s1736/WhatsApp%20Image%202022-03-26%20at%2020.10.58.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1736" data-original-width="1736" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjBKXfyXERu-9f7LTCdHaQsJmb2A1D_utYXG2BZMd2Spg_r4-hV9YINheSNFzxJgObX5rwtFbSjsxFBWMd-WWt6jQ8jp_MpwwgI7m17O6s5cBpLbjEnmAtKBIMD5H0d_kaL75p1e4O4MSGOjNHN5Hn0qxuyQLHSbLizuTmI9iqTcdwwyOt0BI3TPYS_/s320/WhatsApp%20Image%202022-03-26%20at%2020.10.58.jpeg" width="320" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_Ngj0-Q7jEfxMVXhCLImFoXcvxgKshCdNml83MbyzduHnEsU2Tu_Fymvk1zQ4IzV7fn7cq_IzhS0DaZvPlwZoXTBjlm8sk1MM9OyBbt05gf6zrzYknmCh-AzdJh3XDNyNtlgo7vKNMcfziouEaJFeSjVfMATGbX2oJnel1tGvbKDyuYgy9ObdHuFv/s1600/WhatsApp%20Image%202022-03-26%20at%2018.33.55.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1600" data-original-width="1200" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_Ngj0-Q7jEfxMVXhCLImFoXcvxgKshCdNml83MbyzduHnEsU2Tu_Fymvk1zQ4IzV7fn7cq_IzhS0DaZvPlwZoXTBjlm8sk1MM9OyBbt05gf6zrzYknmCh-AzdJh3XDNyNtlgo7vKNMcfziouEaJFeSjVfMATGbX2oJnel1tGvbKDyuYgy9ObdHuFv/s320/WhatsApp%20Image%202022-03-26%20at%2018.33.55.jpeg" width="240" /></a></div></div><p><br />Gracias a todos los que fuisteis.</p><p>Habrá que hacerlo mas seguido, para que puedan venir tambien los que fueron.<br /><br /><br /></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-38672024601081266232022-01-01T16:32:00.006+01:002022-03-13T17:06:50.545+01:00Cuatro años de sequía<p>Queridos amigos de los SIG, la Teledetección y Doñana. Lo primero de todo Felices Fiestas Y Feliz Año Nuevo. Lo segundo pedir perdón por tanto tiempo sin informar de como va la inundación de nuestra querida marisma. </p><p>Ha llovido mucho estos días y me imagino que todos estamos deseando ver la marisma inundada. Bueno, aquí va la primera imagen Sentinel 2 del día 22 de diciembre, justo antes de las lluvias:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjmrjJ3tv5LIj80LzQCbus6hhv9ve8RKh2ZF1KDjdW8WdUgn6wMWsAFN66Kll1QmBwsk0JugDOmGW19PVGCmTHywMwdwEq5Ow-687K9A03ZwYGJgS9-PLYz-DGXJdujmT5ymLYszZkLx6kja4Uhu9u2lTZq0-NpQtuXU-JEfUWQPJijB8j8GT-UCO5c4g=s2500" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1297" data-original-width="2500" height="208" src="https://blogger.googleusercontent.com/img/a/AVvXsEjmrjJ3tv5LIj80LzQCbus6hhv9ve8RKh2ZF1KDjdW8WdUgn6wMWsAFN66Kll1QmBwsk0JugDOmGW19PVGCmTHywMwdwEq5Ow-687K9A03ZwYGJgS9-PLYz-DGXJdujmT5ymLYszZkLx6kja4Uhu9u2lTZq0-NpQtuXU-JEfUWQPJijB8j8GT-UCO5c4g=w400-h208" width="400" /></a></div><p>Y aquí la siguiente imagen Sentinel 2 del día 27, justo después de las lluvias:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgnXfCTnuRUMG8W3SF7i1qKUdODXtLJq_WINb-a46JmJzKmTpjBujClZxsrr8sApTVaUscw5aYy-RygulMgZy5uQiVPOnVdJjAnzbuvorUTpwRbEkKhupbFKOeOa8d9FmVlF019AxYdCAyiXQsOqD43hKbW-A-rrRTVODhF214trouzYVcGK9blHl-QCg=s2500" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1297" data-original-width="2500" height="208" src="https://blogger.googleusercontent.com/img/a/AVvXsEgnXfCTnuRUMG8W3SF7i1qKUdODXtLJq_WINb-a46JmJzKmTpjBujClZxsrr8sApTVaUscw5aYy-RygulMgZy5uQiVPOnVdJjAnzbuvorUTpwRbEkKhupbFKOeOa8d9FmVlF019AxYdCAyiXQsOqD43hKbW-A-rrRTVODhF214trouzYVcGK9blHl-QCg=w400-h208" width="400" /></a></div><p>Un poco decepcionante, verdad? La alta resolución temporal de Sentinel 2 (5 días con Sentinel 2A y 2B) nos permite tener un seguimiento muy fino de cualquier fenómeno y, como en este caso, tener imágenes de justo antes y después de un evento como las fuertes lluvias que hemos tenido. </p><p>Ya, pero... ahí no se ve nada, solo nubes... Pues sí, solo se ven nubes. Es una de las maldiciones de trabajar con sensores que trabajan en el rango óptico del espectro y temas relacionados con la inundación. Para que haya inundación hacen falta lluvias y para que llueva hacen falta nubes. Así que como regla general, cuanto más lluvioso sea un año menos imágenes válidas tendremos. Como muestra, el ciclo 1995/96 en el que se alcanzó la máxima inundación de la marisma, apenas hay imágenes (Landsat 5 y 7 por aquel entonces) con la marisma inundada, porque todos las imágenes de invierno estaban completamente cubiertas de nubes. </p><p>Entonces no hay nada que hacer más que esperar la próxima imagen sin nubes? En realidad no habría más que esperar al próximo día 1 de enero para ver si hay suerte y tenemos una nueva Sentinel 2 sin nubes. </p><p>Pero por suerte, Sentinel 2 tiene un hermano mayor (mayor porque se lanzó un año antes, en 2014) llamado Sentinel 1, que trabaja con Radar. Al contrario que los sensores ópticos que usan al sol como fuente de energía, los sensores radar generan su propia energía, lanzando pulsos electromagnéticos y viendo el tiempo y la intensidad con la que vuelven, se pueden generar imágenes precisas de la superficie terrestre. Esto presenta varias ventajas frente a los sensores ópticos, como por ejemplo, que también puede tomar imágenes de noche. Así que se aprovechan las pasadas ascendentes y las descendentes.</p><p><br /></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjAjeeevFhFHxRdKemOnveYIYY9pqghV3U9FNWvV2ERmehiOkRv8RN20hPMOOqlNKRtQPka67cyIXkFcnozf4iX-jYnt5xUzkQvgOWkqFtx-FHbV_oQzqYUiXQrjKzOnvNwciVhPfWfOL0Ug8JjVG-1WCmLlK7DflhJAvP5SXDESXea3RnFdGUtoLyxtA=s470" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="392" data-original-width="470" height="334" src="https://blogger.googleusercontent.com/img/a/AVvXsEjAjeeevFhFHxRdKemOnveYIYY9pqghV3U9FNWvV2ERmehiOkRv8RN20hPMOOqlNKRtQPka67cyIXkFcnozf4iX-jYnt5xUzkQvgOWkqFtx-FHbV_oQzqYUiXQrjKzOnvNwciVhPfWfOL0Ug8JjVG-1WCmLlK7DflhJAvP5SXDESXea3RnFdGUtoLyxtA=w400-h334" width="400" /></a></div><br /><p>Además, las longitudes de onda a las que trabaja el radar (en el rango de las microondas, entre 0.1 cm y 1 m de longitud de onda) hacen que esos pulsos sean permeables a las nubes, con lo cual, ahora sí podemos que hay debajo de las nubes han cubierto Doñana durante la pasada semana:</p><p>Primero vamos a ver como estaba la marisma al comienzo de las lluvias, en esta imagen Sentinel 1 del día 20 de diciembre: </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgAaivXo1v2Ui0HyHtkCwscS1y5LijHz5JZgkPMgX1qFN9NGOLUPb3OUEt56CjK_CNRaQiVyh6-d-tAk20dft2kwLrk7CPPVjkg9IJqqnmOQn_2HZ3aKKnlu0FJHfERQgeGuUknZewL-SdZj7pVwNMtIQ09H2L6BMvkeP4i5bfWRuqmQW6aJyBne5-qXA=s2500" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1259" data-original-width="2500" height="201" src="https://blogger.googleusercontent.com/img/a/AVvXsEgAaivXo1v2Ui0HyHtkCwscS1y5LijHz5JZgkPMgX1qFN9NGOLUPb3OUEt56CjK_CNRaQiVyh6-d-tAk20dft2kwLrk7CPPVjkg9IJqqnmOQn_2HZ3aKKnlu0FJHfERQgeGuUknZewL-SdZj7pVwNMtIQ09H2L6BMvkeP4i5bfWRuqmQW6aJyBne5-qXA=w400-h201" width="400" /></a></div><br /><p>Como vemos, apenas había agua en La Madre y en la FAO (seguramente la FAO se haya llenado, por temas de gestión/uso público, con agua de bombeo ante la sequía que hay en la marisma). El resto de la marisma permanecía seca, si bien se intuye que puede haber de humedad en el suelo de ciertas partes. También podría que en zonas bajas cubiertas de castañuela y bayunco, hubiera algo de agua que no se detecta ya que predominaría la señal intensa de la vegetación frente al poco de agua bajo ella, pero sería difícil que pasase eso, porque vemos que hay otras zonas con cotas más bajas y sin vegetación en las que se ve claramente que no hay nada de agua. </p><p>Bueno, y ahora vamos a ver el efecto de las intensas lluvias de la semana pasada en la siguiente imagen Sentinel 1 del día 26 de dicembre de 2021 (al igual que ocurre con el resto de "Sentinels", Sentinel 1 está por duplicado con un S1-A y S1-B. La resolución temporal en este caso es de 6 días):</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiwL053hBDUyKXP0szuH6LjA3QRkIxxTbBhj8l557_WQc_Z5tG5I2pdT4rwLFjNCsuTgZRXz8bvU3_5wPsvvzpvfHlT2DEXHEcfPdxn4Kq0r77DxonEaii71bhT-U4FFGrgXTnOyyFUmklwV_1wZJjsaPfYAO0BAZIQlIB4xaLJLPVOHQvPBtDzdC2ENQ=s2500" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1259" data-original-width="2500" height="203" src="https://blogger.googleusercontent.com/img/a/AVvXsEiwL053hBDUyKXP0szuH6LjA3QRkIxxTbBhj8l557_WQc_Z5tG5I2pdT4rwLFjNCsuTgZRXz8bvU3_5wPsvvzpvfHlT2DEXHEcfPdxn4Kq0r77DxonEaii71bhT-U4FFGrgXTnOyyFUmklwV_1wZJjsaPfYAO0BAZIQlIB4xaLJLPVOHQvPBtDzdC2ENQ=w400-h203" width="400" /></a></div><p>Pues casi que lo mismo, un poco decepcionante, al final apenas han caído unos 100 mm de agua en la mayoría de estaciones cercanas a la marisma, y claramente no han sido suficientes para generar un llenado importante. De hecho, la inmensa mayoría de la marisma sigue seca. Lo bueno, que las próximas lluvias caerán sobre mojado y seguramente se noten bastante más en la inundación marismeña. </p><p>Antes hemos hablado de algunas de las ventajas de las imágenes radar, una de sus contras parece bastante obvia, y es que las imágenes son bastante menos intuitivas que las tomadas con sensores ópticos. Básicamente lo que vemos son niveles de grises que reflejan la intensidad con la que se ha recibido el eco. De modo muy simplista, podríamos decir que cuanto mayor verticalidad en la superficie, mayor será el valor del eco recibido (fijaos en como resaltan los barcos frente al Puerto de Huelva). Y cuanto más "plana y quieta" sea la superficie, menor será el valor de intensidad (el mar en calma se vería mucho más negro que el mar agitado por ejemplo).</p><p>A pesar de todo, y aunque ya lo hemos comentado, decir que a poco que se conozca la zona se intuyen bastante bien las áreas inundadas. Vemos que no llegó a producirse la esperada avenida por el Guadiamar entrando por el caño Travieso, pero que sí ha empezado a entrar con fuerza La Rocina, llenando "La madre" frente a El Rocío y corriendo aguas abajo para ir llenando la parte occidental de la marisma. Al sur se observa algo de agua en los lucios de El Membrillo, Molinillo, Sanlúcar, etc... Curiosamente no parece haber nada de agua en el Lucio de los Ánsares, el Lobo o Marilópez. </p><p>Por último, una de las aplicaciones más útiles de las imágenes radar para el estudio de la inundación es la comparación de dos imágenes para ver como ha cambiado la cobertura de la superficie entre ambas. Así, si comparamos las 2 imágenes del 20 y el 26 de diciembre, podremos obtener la superficie inundada que ha aumentado entre ambas fechas:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjHIfBHAJ7bUno0uOcbtzx3ak48cYGx9EAkgIs3Gmd28FFkzF46-OVrUDQS_pQPRy0TswcUV8rl6KV13M4d4IInj49sMBHakDb8ekx7_9haloBAz4nU4W95FZxZbsYxWS3fa4Kfk002uoCLE7KbqtV2k3hARgoov2EW6yQPZUZAZhc9K-tjAk5CNryiyw=s613" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="433" data-original-width="613" height="283" src="https://blogger.googleusercontent.com/img/a/AVvXsEjHIfBHAJ7bUno0uOcbtzx3ak48cYGx9EAkgIs3Gmd28FFkzF46-OVrUDQS_pQPRy0TswcUV8rl6KV13M4d4IInj49sMBHakDb8ekx7_9haloBAz4nU4W95FZxZbsYxWS3fa4Kfk002uoCLE7KbqtV2k3hARgoov2EW6yQPZUZAZhc9K-tjAk5CNryiyw=w400-h283" width="400" /></a></div><p><b>Ahí</b> (😥) veis un recorte (perdón porque es bastante "grosero") de la imagen del día 26 y sobre ella en azul las nuevas zonas inundadas con respecto a la imagen del día 20. Si os fijáis, también se ve muy bien como se van llenando los arrozales. </p><p>Bueno, pues aquí acaba este post. Estaba esperando a que saliera la Sentinel 2 de hoy para ponerla, pero salgo ya de vacaciones :)</p><p>Queda pendiente la Sentinel-2 para el próximo post sobre inundación. Buena entrada de año a todos!</p><p><br /></p><p>Pd. El título de 4 años de sequía viene de una conversación de WhatsApp. Me gustó mucho porque es como decir que 100 litros de lluvia no bastan para llenar la marisma tras 4 años de sequía. La verdad es que no he mirado cuanto tiempo llevamos de sequía oficialmente, pero de seguro que son ya varios años con pocas precipitaciones y escasa inundación en la marisma. A ver si este ciclo hay más suerte...</p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p> </p>Diegohttp://www.blogger.com/profile/15372433269251168203noreply@blogger.com2tag:blogger.com,1999:blog-8015925519704443818.post-63515789801852201942021-11-18T11:46:00.016+01:002021-11-22T12:09:53.637+01:00<blockquote style="border: none; margin: 0px 0px 0px 40px; padding: 0px;"><p style="text-align: center;"><b style="mso-bidi-font-weight: normal; text-align: left;"><span style="font-size: x-large;">Campaña del LAST en el marco de la misión CHIME de la ESA</span></b></p></blockquote><p class="MsoNormal" style="text-align: justify;">El LAST, la Universidad de Huelva y la Universidad de Cádiz, participaron este verano, junto con otros equipos de
Europa y EEUU, en un experimento de toma de datos en campo para garantizar el
desarrollo de una nueva misión, <b>CHIME</b>, próximamente en órbita. La Misión <a href="https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Going_hyperspectral_for_CHIME" target="_blank">CHIME </a>(<i>Copernicus Hyperspectral Imaging for the
Environment)</i>, es una de las seis nuevas misiones que la Comisión
Europea y la Agencia Espacial Europea (ESA) están desarrollando para ampliar
las capacidades del actual programa <b>Copernicus </b>de observación de la Tierra.
Copernicus proporciona información precisa, actualizada y de fácil acceso tanto
de satélites medioambientales como de bases terrestres. Su objetivo es mejorar
la gestión del medio ambiente, comprender y mitigar los efectos del cambio climático
y garantizar la seguridad ciudadana. En este marco, la misión CHIME aporta
observaciones hiperespectrales en el rango del infrarrojo de onda corta y el
visible para apoyar y mejorar las políticas de gestión de la UE relacionadas
con los recursos naturales. Los datos de la misión CHIME podrán utilizarse para
apoyar la gestión forestal, la sostenibilidad de la biodiversidad y los
ecosistemas, y evaluar la degradación ambiental de ambientes terrestres y
costeros.<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-nQkaYWbyUuU/YZYr8RORXEI/AAAAAAAAJ84/A7dG_0K7R64zEYa9yt0OtNyKj2WVP-kIgCLcBGAsYHQ/s1920/CHIME_pillars.jpg" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="1849" data-original-width="1920" height="207" src="https://1.bp.blogspot.com/-nQkaYWbyUuU/YZYr8RORXEI/AAAAAAAAJ84/A7dG_0K7R64zEYa9yt0OtNyKj2WVP-kIgCLcBGAsYHQ/w215-h207/CHIME_pillars.jpg" width="215" /></a></div><p class="MsoNormal" style="text-align: justify;">El Laboratorio de SIG y Teledetección de la Estación
Biológica de Doñana (<b>LAST-EBD</b>) ha participado en el programa CHIME con sendas
campañas de Radiometría en el Espacio Natural de Doñana y en las minas de
Ríotinto realizadas el 25 de junio de 2021, siguiendo la metodología propuesta
por el CSIRO. Con estas campañas el LAST proporcionará datos para calibrar
diferentes sensores hiperespectrales.</p><p class="MsoNormal" style="text-align: justify;"><o:p></o:p></p><p class="MsoNormal" style="text-align: justify;">Los satélites de observación de la Tierra necesitan de una
correcta calibración de los sensores de a bordo. La calibración con referencia
terrestre o vicaria se basa en la medición de la reflectancia terrestre y las
propiedades atmosféricas coincidiendo con la adquisición de las imágenes de
satélite en el área de interés. Para ello es necesario contar con un área sobre
el terreno de gran superficie, plana, uniforme espectralmente e invariante en
sus propiedades radiométricas, que permita la validación de la reflectancia en
superficie para la inter-comparación entre sensores. En nuestro caso se
eligieron dos zonas de interés:<o:p></o:p></p><blockquote style="border: none; margin: 0px 0px 0px 40px; padding: 0px; text-align: left;"><p class="MsoNormal" style="text-align: justify;">- Una zona
de desechos mineros benignos en las <b>minas de Riotinto</b>, de utilidad para la
línea del programa de caracterización de suelos mineros y materias primas. </p></blockquote><p class="MsoNormal" style="text-align: left;"><o:p></o:p></p><blockquote style="border: none; margin: 0px 0px 0px 40px; padding: 0px; text-align: left;"><p class="MsoNormal" style="text-align: justify;">- Un área
dunar en el <b>Espacio Natural Protegido de Doñana</b>, para el apoyo a la línea de
preservación del medio ambiente, en especial para el seguimiento de ecosistemas
tanto terrestres como acuáticos (estuario, marisma y lagunas temporales).</p></blockquote><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-_XaY6mR_AtI/YZYrNyY7riI/AAAAAAAAJ8o/YbWXpRWKgUQGv2S_6ekGRbHCUU_o_74sACLcBGAsYHQ/s2048/sitios%2Baviris.tif" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1368" data-original-width="2048" height="214" src="https://1.bp.blogspot.com/-_XaY6mR_AtI/YZYrNyY7riI/AAAAAAAAJ8o/YbWXpRWKgUQGv2S_6ekGRbHCUU_o_74sACLcBGAsYHQ/s320/sitios%2Baviris.tif" width="320" /></a><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-rqZwgtNrAe8/YZYsXUGeXqI/AAAAAAAAJ9A/_lqHeLRZgzcY_QkD9IPxOJV4n9Uc3MACwCLcBGAsYHQ/s2612/IMG_20210625_131558.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1204" data-original-width="2612" height="148" src="https://1.bp.blogspot.com/-rqZwgtNrAe8/YZYsXUGeXqI/AAAAAAAAJ9A/_lqHeLRZgzcY_QkD9IPxOJV4n9Uc3MACwCLcBGAsYHQ/s320/IMG_20210625_131558.jpg" width="320" /></a><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-VShEzvWZVbw/YZYuQipB5PI/AAAAAAAAJ9Y/Ydbq6CppXnYpF0QI2Qi-ZWgBUZb52TZBgCLcBGAsYHQ/s2048/duna.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1574" data-original-width="2048" height="246" src="https://1.bp.blogspot.com/-VShEzvWZVbw/YZYuQipB5PI/AAAAAAAAJ9Y/Ydbq6CppXnYpF0QI2Qi-ZWgBUZb52TZBgCLcBGAsYHQ/s320/duna.jpg" width="320" /></a></div><br /></div></div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: justify;"><span style="text-align: left;"> En ambas zonas se tomaron datos espectrales con un <a href="(http://last-ebd.blogspot.com/2021/01/nueva-adquisicion-asd-fieldspec-4.html" target="_blank">espectroradiómetro ASD FieldSpec 4</a> y Pro FR </span><span style="text-align: left;">midiendo en el visible y en el infrarrojo de onda corta
(SWIR, 400-2500 nm) (</span><a href="http://10.20350/digitalCSIC/13994" style="text-align: left;">https://digital.csic.es/handle/10261/252082</a><span style="text-align: left;">). Las mediciones atmosféricas
se llevaron a cabo con un fotómetro solar polarizado CIMEL en Doñana y un
microTops de mano en Riotinto. Además, la ICTS-RBD dispone de 4 torres de
intercambio de flujo (</span><b style="text-align: left;">Eddy covariance</b><span style="text-align: left;">) y 3 </span><b style="text-align: left;">radiómetros Ramses (TriOS)</b><span style="text-align: left;"> ubicados
permanentemente en Doñana.</span></div></div></div><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-FDmEXJfghEI/YZYrsciQw_I/AAAAAAAAJ8w/TZoiSp-xkvIQrol-N32bZDYK72O4dafMACLcBGAsYHQ/s2048/multiescalar%2Baviris.tif" style="margin-left: 1em; margin-right: 1em;"><br /><img border="0" data-original-height="2048" data-original-width="2048" height="320" src="https://1.bp.blogspot.com/-FDmEXJfghEI/YZYrsciQw_I/AAAAAAAAJ8w/TZoiSp-xkvIQrol-N32bZDYK72O4dafMACLcBGAsYHQ/s320/multiescalar%2Baviris.tif" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-6n3lPo2nQ70/YZYvmszROSI/AAAAAAAAJ9g/F4OTQK5qFSg5FoU5OzW8msMNITwP8ZVVQCLcBGAsYHQ/s606/tabla.JPG" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="180" data-original-width="606" height="130" src="https://1.bp.blogspot.com/-6n3lPo2nQ70/YZYvmszROSI/AAAAAAAAJ9g/F4OTQK5qFSg5FoU5OzW8msMNITwP8ZVVQCLcBGAsYHQ/w439-h130/tabla.JPG" width="439" /></a></div><p style="text-align: left;">La campaña pretende contribuir a la comparación radiométrica
y calibración de varios sensores que tomaron simultáneamente imágenes de las
zonas seleccionadas (± 1 hora): el sensor aeroportado <a href="https://avirisng.jpl.nasa.gov/aviris-ng.html" target="_blank">AVIRIS-NG</a>, el sensor
italiano <a href="https://doi.org/10.1109/IGARSS47720.2021.9553301" target="_blank">PRISMA</a>, y el <a href="http://10.3390/s19071622" target="_blank">DESIS</a>, a bordo de la Estación Espacial Internacional.
También se sobrevolaron las zonas seleccionadas con los sensores <a href="https://dron.uca.es/vehiculos-aereos/" target="_blank">Hyperspec </a>y
<a href="https://cubert-gmbh.com/" target="_blank">FireflEYE </a>a bordo del UAV DJI Matrice 600 PRO.</p><p class="MsoNormal" style="text-align: left;"><o:p></o:p></p><p class="MsoNormal" style="text-align: left;"><span style="font-size: small;">Agradecemos el apoyo de la Dra. Uta Heiden del DLR por
facilitar los datos DESIS, del Dr. Ettore Lopinto por los datos PRISMA, a la
ESA por los datos AVIRIS-NG extensiva a su tripulación de vuelo y al INTA por
los datos de composición atmosférica del CIMEL y el préstamo del microTops.</span></p><p class="MsoNormal" style="text-align: left;"><o:p></o:p></p><p class="MsoNormal" style="text-align: left;"></p><p class="MsoNormal" style="text-align: justify;"><o:p></o:p></p><b></b><p style="text-align: left;"></p><p class="MsoNormal" style="text-align: justify;"><o:p></o:p></p><p class="MsoNormal" style="text-align: justify;"><o:p></o:p></p><p class="MsoListParagraphCxSpFirst" style="text-align: justify; text-indent: -18pt;"><o:p></o:p></p><p class="MsoListParagraphCxSpLast" style="text-align: justify; text-indent: -18pt;"><o:p></o:p></p><p class="MsoNormal" style="text-align: justify;"><o:p></o:p></p><p class="MsoNormal" style="text-align: justify;"><o:p></o:p></p><p class="MsoNormal" style="text-align: left;">
</p><p class="MsoNormal" style="text-align: justify;"><o:p></o:p></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-1876980835606492422021-01-31T17:59:00.000+01:002021-01-31T17:59:00.869+01:00Nueva adquisición: ASD Fieldspec 4 Standard Resolution<p class="MsoNormal" style="text-align: justify;"><a href="https://1.bp.blogspot.com/-TwwPRrvOaCA/YBbenAD1aaI/AAAAAAAAGbs/On7790hF484Xbo-gcomQExjCD1fjJ98agCLcBGAsYHQ/s1530/FEDER%2Bvertical%2Bcastellano.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="1530" data-original-width="1500" height="112" src="https://1.bp.blogspot.com/-TwwPRrvOaCA/YBbenAD1aaI/AAAAAAAAGbs/On7790hF484Xbo-gcomQExjCD1fjJ98agCLcBGAsYHQ/w109-h112/FEDER%2Bvertical%2Bcastellano.png" width="109" /></a><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">En mayo de 2019, el Laboratorio de
Sistemas de Información Geográfica y Teledetección de la Estación Biológica de
Doñana iniciamos los trámites para la adquisición de un nuevo espectro radiómetro
dentro del proyecto: “Mejora del equipamiento para radiometría de campo y toma
de verdad terreno con alta precisión sobre cubiertas naturales” cofinanciado
con fondos FEDER, referencia EQC2019-005790-P. Pudiendo iniciar el pliego de
compra en junio de 2020 y recibiendo el aparato en enero de 2021.</span></p>
<p class="MsoNormal" style="text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">El nuevo
espectro- radiómetro ha sido un ASD FieldSpec 4 Standard Resolution (Figura 1).
Tiene un rango espectral que va desde los 350 nm a 2 500 nm. Posee tres d</span><span lang="ES">etectores uno en el VNIR (</span><span lang="ES" style="mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;">≤</span><span lang="ES">1 000 nm), otro
en el SWIR 1 (1 001-1 800 nm) y el ultimo en el SWIR 2 (> 1 800 nm). Con un
total de 2 151 bandas con una resolución espectral de 3 nm a 700 nm y de 10 nm
a 1 400 nm. Posee una fibra óptica de 1.5 m de largo y 25º de apertura (FOV),
cubierta de bobina de acero y fibra Kevlon para una mejor protección. Incluye
un panel de referencia calibrado de 13 cm y 99% de reflectividad. Un ordenador portátil
para el manejo del equipo vía <i>WiFi</i> o conexión <i>Ethernet</i>. Un soporte para la
fibra con nivel de burbuja y mira laser. </span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;"></span></p>
<p align="center" class="MsoNormal" style="text-align: center;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-KdxpqgKGP8Y/YBbcrHgBW3I/AAAAAAAAGbE/-fi_50PZQbQ3nsUxBrKXKpTT59VY_wG7gCLcBGAsYHQ/s1417/Diapositiva1.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1063" data-original-width="1417" height="300" src="https://1.bp.blogspot.com/-KdxpqgKGP8Y/YBbcrHgBW3I/AAAAAAAAGbE/-fi_50PZQbQ3nsUxBrKXKpTT59VY_wG7gCLcBGAsYHQ/w400-h300/Diapositiva1.JPG" width="400" /></a></div><span style="font-size: 12.0pt; line-height: 107%; mso-ansi-language: EN-GB; mso-fareast-language: EN-GB; mso-no-proof: yes;"></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;"></span><p></p>
<p class="MsoNormal" style="text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Figura 1. Detalles y equipo del Espectro-radiómetro.
A) vista lateral del radiómetro con la fibra óptica. B) Spectralon blanco 99% reflectancia.
C) referencia de la calibración del panel con el equipo. D) ordenador portátil para
el manejo del equipo. E) Panel de referencia blanco de 9 cm de diámetro, sin
calibrar F) Lámpara halógena de cuarzo‐tungsteno para mediciones en interiores
con un haz de luz estable en todo el rango de medida. G) Detalle frontal de soporte
para la fibra óptica con visor laser. H) Detalle lateral del soporte para la
fibra óptica.</span></p>
<p class="MsoNormal" style="text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Este radiómetro complementa y actualiza el adquirido
en 2004 el espectro-radiómetro de campo ASD Fieldspec Pro JR/A110080 (<a href="http://www.aet.org.es/files/I_Jornada_ASD_Ricardo_Diaz.pdf">http://www.aet.org.es/files/I_Jornada_ASD_Ricardo_Diaz.pdf</a>).
Durante estos 15 años ha sido utilizado para diferentes proyectos y con
diversos objetivos entre otros: </span></p>
<p class="MsoListParagraphCxSpFirst" style="mso-list: l0 level1 lfo1; text-align: justify; text-indent: -18.0pt;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;">1.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Se utilizó de manera muy especial en el experimento de Radiometría
de la vegetación acuática sumergida de Doñana (Figura 2): variación temporal de
las firmas espectrales presentado en septiembre de 2011 en el congreso:
Teledetección Bosques y cambio climático y en las Actas XIV Congreso Asociación
Española de Teledetección</span></p>
<p class="MsoListParagraphCxSpLast" style="text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;"><a href="https://www.researchgate.net/publication/236586571_Radiometria_de_la_vegetacion_acuatica_sumergida_de_Donana_variacion_temporal_de_las_firmas_espectrales">https://www.researchgate.net/publication/236586571_Radiometria_de_la_vegetacion_acuatica_sumergida_de_Donana_variacion_temporal_de_las_firmas_espectrales</a></span></p>
<p class="MsoNormal" style="text-align: justify;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-z9FTONE6JS0/YBbc0zyxpPI/AAAAAAAAGbI/49zMSGme7UYvJo6p4Lay9tuyyQoPdli6ACLcBGAsYHQ/s1417/Diapositiva2.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1063" data-original-width="1417" height="300" src="https://1.bp.blogspot.com/-z9FTONE6JS0/YBbc0zyxpPI/AAAAAAAAGbI/49zMSGme7UYvJo6p4Lay9tuyyQoPdli6ACLcBGAsYHQ/w400-h300/Diapositiva2.JPG" width="400" /></a></div><div style="text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Figura 2. </span><span style="font-size: 12.0pt; line-height: 107%; mso-ansi-language: EN-GB;">Experimento RSAV (Radiometry of
Submerged Aquatic Vegetation). </span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">A) Detalle de la Tapa con la lámpara y la fibra óptica insertadas.
B) Esquema del “Cubo radiométrico” con medidas a varias alturas. C) Fotografía
del Cubo radiométrico. D) Muestra de suelo sin cobertura vegetal. E) Muestra de
<i style="mso-bidi-font-style: normal;">Ruppia drepanensis</i> en las primeras
semanas del experimento. F) Muestra de <i style="mso-bidi-font-style: normal;">Ruppia
drepanensis</i> a la mitad del experimento y 100% de cobertura. G) Firmas
espectrales de <i style="mso-bidi-font-style: normal;">Ruppia drepanensis</i>
para diferentes semanas del experimento. H) Firmas espectrales de los macrófitos
estudiados durante la semana 21 del experimento. I) Interior cámara climática con
los acuarios y las distintas plantas</span></div><p></p>
<p class="MsoListParagraph" style="margin-bottom: .0001pt; margin-bottom: 0cm; mso-add-space: auto; mso-list: l0 level1 lfo1; text-align: justify; text-indent: -18.0pt;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;">2.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Para la corrección radiométrica
de los vuelos hiperespectrales (Figura 3) realizados sobre Doñana en: </span></p>
<p class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 6.55pt; margin-right: 0cm; margin-top: 0cm; text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">2008 <a href="http://last-ebd.blogspot.com/2008/12/vuelo-del-ahs-abril-de-2008.html">http://last-ebd.blogspot.com/2008/12/vuelo-del-ahs-abril-de-2008.html</a></span></p>
<p class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 6.55pt; margin-right: 0cm; margin-top: 0cm;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">2010 <a href="http://last-ebd.blogspot.com/2010/05/campana-ahs-donana-2010-6.html">http://last-ebd.blogspot.com/2010/05/campana-ahs-donana-2010-6.html</a></span></p>
<p class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 6.55pt; margin-right: 0cm; margin-top: 0cm;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">2011 <a href="http://last-ebd.blogspot.com/2011/05/campana-ahs-donana-2011-3.html">http://last-ebd.blogspot.com/2011/05/campana-ahs-donana-2011-3.html</a></span></p>
<p class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 6.55pt; margin-right: 0cm; margin-top: 0cm; text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">2013 <a href="http://last-ebd.blogspot.com/2013/05/campana-ahs-donana-2013-9-resultados.html">http://last-ebd.blogspot.com/2013/05/campana-ahs-donana-2013-9-resultados.html</a></span></p>
<p class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 6.55pt; margin-right: 0cm; margin-top: 0cm; text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">2015 <a href="http://last-ebd.blogspot.com/2015/05/campana-ahs-donana-2015-5-la-ejecucion.html">http://last-ebd.blogspot.com/2015/05/campana-ahs-donana-2015-5-la-ejecucion.html</a></span></p>
<p class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 6.55pt; margin-right: 0cm; margin-top: 0cm; text-align: justify;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-qfDWK6rnT1g/YBbdDnGiDzI/AAAAAAAAGbQ/9Xil7yhfccUDI4j_ot9Gn_Zv11sHV22ugCLcBGAsYHQ/s1417/Diapositiva3.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1063" data-original-width="1417" height="300" src="https://1.bp.blogspot.com/-qfDWK6rnT1g/YBbdDnGiDzI/AAAAAAAAGbQ/9Xil7yhfccUDI4j_ot9Gn_Zv11sHV22ugCLcBGAsYHQ/w400-h300/Diapositiva3.JPG" width="400" /></a></div><div style="text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Figura 3. Medidas de campo para la corrección
radiométrica de imágenes hiperespectrales. A) Esquema de toma de medidas en
zigzag sobre la zona de muestreo. B) Fotografía tomada en la intercalibración
de nuestro radiómetro con el del INTA sobre una malla negra agrícola. C) Imagen
extraída de Google earth donde se pueden apreciar las mallas agrícolas colocadas
para el momento del vuelo 15 de mayo de 2015. D) Firmas espectrales de malla
negra, malla blanca y duna. E) Fotografía de la muestra de duna. F) Fotografía
de la muestra de Helechos. G) Fotografía de la muestra de Pastizal. H) Zona
cubierta por el sensor AHS. I) Zona cubierta por el sensor CASI.</span></div><p></p>
<p class="MsoListParagraph" style="mso-list: l0 level1 lfo1; text-align: justify; text-indent: -18.0pt;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"> <span style="mso-list: Ignore;">3.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Para la generación de la librería de firmas espectrales (Figura
4) del matorral de la RBD de la Tesis doctoral de Marcos Jiménez Michavilla
2011 dirigida por Dr. Ricardo Díaz-Delgado</span></p>
<p class="MsoNormal" style="margin-left: 18.0pt;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-eJs-5KhybOE/YBbdjzaQyuI/AAAAAAAAGbY/FsVjbvv_7AkOddQk-iJMp9buY9ysLDaQgCLcBGAsYHQ/s1417/Diapositiva4.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1063" data-original-width="1417" height="300" src="https://1.bp.blogspot.com/-eJs-5KhybOE/YBbdjzaQyuI/AAAAAAAAGbY/FsVjbvv_7AkOddQk-iJMp9buY9ysLDaQgCLcBGAsYHQ/w400-h300/Diapositiva4.JPG" width="400" /></a></div><div style="text-align: justify;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Figura 4. Detalles de la Tesis de Marcos Jiménez Millavilla.
A) Toma de medida sobre <i style="mso-bidi-font-style: normal;">Erica scoparia</i>.
B) Firma espectral de <i style="mso-bidi-font-style: normal;">Erica scoparia</i>
durante la época húmeda. C) Firma espectral de <i style="mso-bidi-font-style: normal;">Haliminum halimifolium</i> durante la época húmeda. D) Firma espectral
de <i style="mso-bidi-font-style: normal;">Erica scoparia</i> durante la época seca
y fotografía. E) Firma espectral de <i style="mso-bidi-font-style: normal;">Haliminum
halimifolium</i> durante la época seca y fotografía. F) Composición en falso color
infrarrojo mejorado con el sensor AHS sobre la Reserva Biológica de Doñana. G)
Mapa con el porcentaje de ocurrencia de <i style="mso-bidi-font-style: normal;">Erica
scoparia</i>. H) Mapa con el porcentaje de ocurrencia de <i style="mso-bidi-font-style: normal;">Halimium halimifolium</i></span></div><p></p>
<p class="MsoListParagraphCxSpFirst" style="mso-list: l0 level1 lfo1; text-align: justify; text-indent: -18.0pt;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;">4.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Para su uso como valores radiométricos de referencia en diferentes
procedimientos de corrección radiométrica de imágenes satelitales Landsat 7
ETM+, Landsat 8 OLI y sentinel 2 MSI publicado en Remote Sensing (<a href="https://www.mdpi.com/2072-4292/9/12/1319">https://www.mdpi.com/2072-4292/9/12/1319</a>)
y formando parte de la Tesis doctoral de Joan C. Padró</span></p>
<p class="MsoListParagraphCxSpLast" style="mso-list: l0 level1 lfo1; text-align: justify; text-indent: -18.0pt;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;">5.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Para la corrección radiométrica de vuelo hiperespectrales (Figura
5), en el proyecto “<i style="mso-bidi-font-style: normal;">Characterization of
the epikarst: application to the karst massif of the Sierra de las Nieves</i>”de
Víctor Rodríguez-Galiano de la Universidad de Sevilla y para la comparación de
muestras de suelo entre variables radiométricas y químicas.</span></p>
<p align="center" class="MsoNormal" style="text-align: center;"><span style="font-size: 12.0pt; line-height: 107%; mso-ansi-language: EN-GB; mso-fareast-language: EN-GB; mso-no-proof: yes;"></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;"></span></p>
<p class="MsoNormal"><span lang="ES" style="font-size: 12.0pt; line-height: 107%;"></span></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-dqw4eiSxsJI/YBbdwj1dffI/AAAAAAAAGbc/QsrOZNVEQ_81HH-nf1b4hRXGwGXtYr-sACLcBGAsYHQ/s1417/Diapositiva5.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1063" data-original-width="1417" height="300" src="https://1.bp.blogspot.com/-dqw4eiSxsJI/YBbdwj1dffI/AAAAAAAAGbc/QsrOZNVEQ_81HH-nf1b4hRXGwGXtYr-sACLcBGAsYHQ/w400-h300/Diapositiva5.JPG" width="400" /></a></div>Figura
5. Fotos trabajo campo y laboratorio: A) malla agrícola blanca, B) cantera de
grava, C) centro de balsa de la explotación minera, D) muestra radiométrica de suelo
en laboratorio.<p></p>
<p class="MsoListParagraph" style="mso-list: l0 level1 lfo1; text-align: justify; text-indent: -18.0pt;"><span lang="ES" style="font-size: 12.0pt; line-height: 107%; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;"><span style="mso-list: Ignore;">6.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Para la validación de imágenes hiperespectrales con dron de diferentes
especies vegetales (Figura 6)</span></p>
<p class="MsoNormal"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-71NrFk2UdQQ/YBbd9D15byI/AAAAAAAAGbk/mHSwNozgJxw80Zd3RFoCglQoI6DMIehcQCLcBGAsYHQ/s1417/Diapositiva6.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1063" data-original-width="1417" height="300" src="https://1.bp.blogspot.com/-71NrFk2UdQQ/YBbd9D15byI/AAAAAAAAGbk/mHSwNozgJxw80Zd3RFoCglQoI6DMIehcQCLcBGAsYHQ/w400-h300/Diapositiva6.JPG" width="400" /></a></div><span lang="ES" style="font-size: 12.0pt; line-height: 107%;">Figura
6. Fotos trabajo de laboratorio: A) toma de medidas, B) hojas de lentisco, C)
hojas secas de castaño, D) hojas verdes de castaño con frutos, E) frutos de
lentisco</span><p></p>
Unknownnoreply@blogger.com0Calle Américo Vespucio, 26, 41092 Sevilla, España37.4120415 -6.006077299999999437.411615411474443 -6.0066137418029779 37.412467588525558 -6.0055408581970209tag:blogger.com,1999:blog-8015925519704443818.post-35145227957560362672017-07-14T12:34:00.003+02:002017-07-14T12:45:06.648+02:00Más sobre el fuego de Doñana<div dir="ltr" style="text-align: left;" trbidi="on">
Quería añadir algunas cosas más sobre el incendio sucedido a finales de junio en Doñana, ahora que han pasado unos días y hay algo más de tiempo para reflexionar.<br />
<br />
Por una parte, en el LAST-EBD, Ricardo Díaz-Delgado ha elaborado un mapa de severidad del incendio utilizando imágenes de satélite de Landsat 8 (anterior y posterior al incendio) y usando un algoritmo reconocido y evaluado para estimar severidad de incendio con imágenes de satélite<br />
<br />
Se ha utilizado una imagen Landsat del día 3
de julio y se ha comparado con la fecha anterior disponible. Esta cartografía muestra 4 severidades basada en un
procedimiento muy reconocido: la diferencia entre los índices
<a href="http://gsp.humboldt.edu/olm_2015/Courses/GSP_216_Online/lesson5-1/NBR.html" target="_blank">Normalized Burn Ratio (NBR) </a>de la imagen anterior (del 17 de
junio) menos el NBR posterior al incendio.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://3.bp.blogspot.com/-S4xWAyp6rwM/WWh6Z0dRGdI/AAAAAAAASSs/TVEMlPwc1sILTgu32d0zcYDDWsPGxOVGgCLcBGAs/s1600/Mapa_severidad_Incendio_Donana_Landsat.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img alt="" border="0" data-original-height="1132" data-original-width="1600" height="282" src="https://3.bp.blogspot.com/-S4xWAyp6rwM/WWh6Z0dRGdI/AAAAAAAASSs/TVEMlPwc1sILTgu32d0zcYDDWsPGxOVGgCLcBGAs/s400/Mapa_severidad_Incendio_Donana_Landsat.jpeg" title="" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Cartografía de severidad del incendio de Doñana usando imágenes de Landsat 8 </td></tr>
</tbody></table>
<br />
<br />
La severidad suele ser el
primer criterio a considerar a la hora de planificar cualquier
mínima gestión post-incendio. Como veis en este fuego no se han
alcanzado severidades extremas (usando <a href="https://burnseverity.cr.usgs.gov/pdfs/LAv4_BR_CheatSheet.pdf">la
escala del USGS</a>). También hay que decir que la imagen no
está corregida atmosféricamente y por ello podría variar un poco
con una imagen de reflectividades de superficie. Hemos solicitado
dichas imágenes corregidas y estamos a la espera de recibirlas.<br />
<br />
Nuestra estima del área quemada son unas 1000 ha más que la estima oficial de 8500 ha. Nosotros hemos estimado una superficie afectada de 9547,69 ha. También podéis ver que en general la severidad ha sido baja (5400 ha) lo que es una buena noticia pensando en la regeneración post incendio.<br />
<br />
Las estimas de severidad difieren drásticamente de las publicadas previamente por Copérnicus, sobre todo en el grado de detalle espacial y en la superfice afectada por cada nivel de severidad. Copérnicus da una estima de 7800 ha de elevada severidad y sólo 500 ha de severidad moderada. Dado que no sabemos exactamente la metodología empleada ni la escala de referencia no podemos opinar.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://1.bp.blogspot.com/-YD2ShimokSw/WVUV4GVaOVI/AAAAAAAASQs/OJfA5g8EM0kOTEkc2HRPbUcU5mIQFvaRgCPcBGAYYCw/s1600/Mapa_2_4.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1132" data-original-width="1600" height="282" src="https://1.bp.blogspot.com/-YD2ShimokSw/WVUV4GVaOVI/AAAAAAAASQs/OJfA5g8EM0kOTEkc2HRPbUcU5mIQFvaRgCPcBGAYYCw/s400/Mapa_2_4.jpg" width="400" /></a></div>
<br />
Finalmente quería añadir algunas otras imágenes para dar una idea de que tipo de información puede proporcionar la teledetección sobre los incendios.<br />
Los sensores a bordo de satélites pueden detectar los fuegos de tres maneras. Por el calor que desprenden, y eso genera una anomalía térmica detectable por sensores en el infrarojo térmico. Por ejemplo los sensores MODIS a bordo de los satélites Aqua y Terra (EE.UU) generan un producto diario de anomalías térmicas nocturna y diurna aunos 300 m de resolución. Por la luz que desprenden, y eso es visible en los satélites como el SUOMI NPP que recogen imágenes de luz nocturna. También se genera un producto diario. Y finalmente por el humo, normalmente visible en imágenes de alta resolución; pero también detectable en sensores que generan imágenes de concentración de aerosoles. Algo más abajo podéis encontrar algunos ejemplos para el incendio de Doñana.<br />
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</div>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://4.bp.blogspot.com/-s48FVIaftHs/WWiYd9rxdKI/AAAAAAAASS0/Vm7Zd0w2phg6Zt6NHbldCzXSgZIpRVo2wCLcBGAs/s1600/20170625_night_lights.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="928" data-original-width="1572" height="188" src="https://4.bp.blogspot.com/-s48FVIaftHs/WWiYd9rxdKI/AAAAAAAASS0/Vm7Zd0w2phg6Zt6NHbldCzXSgZIpRVo2wCLcBGAs/s320/20170625_night_lights.jpeg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Esta es la imagen de luz nocturna recogida por el satélite SUOMI NPP el 25 de junio. Es dificil apreciar donde está el incendio ya que las luz que genera se confunde con la luz de la ciudad de Huelva. Superpuesta en rojo están las anomalías térmicas detectadas por MODIS</td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://1.bp.blogspot.com/-zFQNTMNfcZI/WWiYd5pfLjI/AAAAAAAASS4/VFjXivq8n8MzPWdPAShhztW5v3mecs1pgCEwYBhgL/s1600/2012_night_lights_anotated.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="931" data-original-width="1600" height="186" src="https://1.bp.blogspot.com/-zFQNTMNfcZI/WWiYd5pfLjI/AAAAAAAASS4/VFjXivq8n8MzPWdPAShhztW5v3mecs1pgCEwYBhgL/s320/2012_night_lights_anotated.jpeg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Esta es una imagen de iluminación nocturna media de la zona para el año 2012 en el que se identifican bien los núcleos de población y se aprecia que Huelva no se extiende tanto como parece en la imagen anterior</td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://1.bp.blogspot.com/-PdeUSy2Z104/WWiZzQPq9FI/AAAAAAAASTA/TfjfsYVGG-43zEdQujJORzK7XHQuyhcPACLcBGAs/s1600/20170626_night_lights.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="894" data-original-width="1341" height="213" src="https://1.bp.blogspot.com/-PdeUSy2Z104/WWiZzQPq9FI/AAAAAAAASTA/TfjfsYVGG-43zEdQujJORzK7XHQuyhcPACLcBGAs/s320/20170626_night_lights.jpeg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Esta es la imagen de luz nocturna del 26 de junio y superpuesto en rojo las anomalías térmicas. Aquí se aprecia bien una serie de focos de luz que no coinciden con núcleos habitados y sin embargo coinciden con anomalías térmicas</td></tr>
</tbody></table>
<div class="separator" style="clear: both; text-align: center;">
</div>
<br />
La resolución temporal de estas imágenes (actualmente una o dos imágenes diarias) no las hace muy útiles para tareas de detección o para las labores de extinción; pero generan productos muy útiles para comparar la incidencia de fuegos a nivel global<br />
<br />
Y a colación de esto viene <a href="http://science.sciencemag.org/content/356/6345/1356.long" target="_blank">un artículo publicado en Science,</a> en la misma semana del incendio, en la que se analiza la incidencia de fuegos a nivel global en los últimos 18, y como no, usando datos de satélite. Curiosamente, frente a lo que parece ser la impresión subjetiva que uno se hace cada vez que hay un gran incendio cercano, tanto el área quemada como el número de <a href="http://science.sciencemag.org/content/356/6345/1356.long" target="_blank">incendios anuales ha disminuido un 25% a nivel global</a> (para todo el planeta) en los últimos 18 años. Curiosamente, los modelos globales para predecir incidencia de incendios no predicen esta tendencia, que se explica por el incremento en la extensión y la intensificación de la agricultura en las zonas tropicales de África y Sudamérica.</div>
Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com1tag:blogger.com,1999:blog-8015925519704443818.post-89624018476001583462017-06-29T17:13:00.000+02:002017-06-29T17:56:02.509+02:00Actualización área quemada y severidad del incendio de Doñana<div dir="ltr" style="text-align: left;" trbidi="on">
La Comisión Europea tiene un servicio de gestión de emergencias denominado <a href="http://emergency.copernicus.eu/mapping/ems/what-copernicus" target="_blank">COPERNICUS</a> que se alimenta de datos de teledetección. De hecho, la constelación de satélites <a href="https://sentinel.esa.int/web/sentinel/home" target="_blank">Sentinel</a> (o centinelas) se ha creado precisamente para proporcionar datos de teledetección a este servicio de gestión de emergencias.<br />
<br />
Ya está disponible una <a href="http://emergency.copernicus.eu/mapping/list-of-components/EMSR209/02GRADING/ALL" target="_blank">cobertura con los límites del área quemad</a>a en el incendio forestal de Doñana, así como una estima del grado de severidad. Estos productos se generan para ayudar a Protección Civil en las labores de gestión de una crisis.<br />
<br />
Auque COPERNICUS no da demasiados datos de como se ha generado el producto. Los mapas en PDF indican que se ha utlilizado una imagen Spot 7 del 27/06/2017 a las 10:26 UTC y de 1,5 m de pixel (o resolución espacial). La imagen tiene algunas nubes (pocas) así que hay algunas zonas sin datos.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://2.bp.blogspot.com/-Hr4CvuN9se0/WVUV3usqBKI/AAAAAAAASQc/tSZtyDtQvuYJ-vhCoF-zMF04i0v-dHobwCLcBGAs/s1600/Mapa_2_1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1132" data-original-width="1600" height="282" src="https://2.bp.blogspot.com/-Hr4CvuN9se0/WVUV3usqBKI/AAAAAAAASQc/tSZtyDtQvuYJ-vhCoF-zMF04i0v-dHobwCLcBGAs/s400/Mapa_2_1.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Esta es la imagen de Landsat 7 del domingo 25 de Julio cuando el incendio ardía sin control. Se aprecia más oscura el área quemada y parecen apreciarse los focos activos en los bordes del área quemada.</td></tr>
</tbody></table>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://1.bp.blogspot.com/-hTdvdrrfV5w/WVUV3pzxxWI/AAAAAAAASQg/Cp3LkYr9UGc-gKjDv-QEWnLBqxb5nligACLcBGAs/s1600/Mapa_2_2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1132" data-original-width="1600" height="282" src="https://1.bp.blogspot.com/-hTdvdrrfV5w/WVUV3pzxxWI/AAAAAAAASQg/Cp3LkYr9UGc-gKjDv-QEWnLBqxb5nligACLcBGAs/s400/Mapa_2_2.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Sobre la imagen de Landsat 7 he superpuesto el mapa de severidad proporcionado por COPERNICUS para el día 27. Se ve como el fuego siguió progresando el domingo y el lunes debido al fuerte viento del noroeste.</td></tr>
</tbody></table>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://4.bp.blogspot.com/-F1SzxDL_j6w/WVUV3_NF5FI/AAAAAAAASQk/KYqNKzB1Qg8n27HlIHSzp9sZdua8OkxbwCLcBGAs/s1600/Mapa_2_3.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1132" data-original-width="1600" height="282" src="https://4.bp.blogspot.com/-F1SzxDL_j6w/WVUV3_NF5FI/AAAAAAAASQk/KYqNKzB1Qg8n27HlIHSzp9sZdua8OkxbwCLcBGAs/s400/Mapa_2_3.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Aquí tenéis la totalidad del área quemada con relación al espacio protegido sobre una imagen de Landsat 8, primavera de 2017, libre de nubes y artefactos. El límite negro es la Reserva de la Biosfera de Doñana y en amarillo los límites del Parque Natural y Parque Nacional</td></tr>
</tbody></table>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://3.bp.blogspot.com/-YD2ShimokSw/WVUV4GVaOVI/AAAAAAAASQo/24RrwaaDEIcc6Ap_QBVf0VUkW3OBg8vJwCLcBGAs/s1600/Mapa_2_4.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1132" data-original-width="1600" height="282" src="https://3.bp.blogspot.com/-YD2ShimokSw/WVUV4GVaOVI/AAAAAAAASQo/24RrwaaDEIcc6Ap_QBVf0VUkW3OBg8vJwCLcBGAs/s400/Mapa_2_4.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Aquí un podéis ver ampliado el mapa de severidad en relación a los límites del Parque Natural de Doñana</td></tr>
</tbody></table>
<br />
Finalmente, aunque los mapas de severidad os los podéis <a href="http://emergency.copernicus.eu/mapping/list-of-components/EMSR209/02GRADING/ALL" target="_blank">descargar gratuitamente de COPERNICUS</a>, he preparado un shapefile más sencillo y más fácil de manejar que os podéis <a href="https://drive.google.com/file/d/0B6-ZAxoyUieVd0Z5TGE2SWZidWs/view?usp=sharing" target="_blank">descargar aquí</a>. Entre otras cosas, tiene estimadas las superfices afectadas y tiene sistema de referencia (una de las ventajas de hacerlo en Qgis)<br />
<br /></div>
Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com2Parque Nacional de Doñana, Almonte, Huelva, España37.0427289 -6.434446699999966811.5206944 -47.743040699999966 62.564763400000004 34.874147300000033tag:blogger.com,1999:blog-8015925519704443818.post-62253198666437734962017-06-28T16:37:00.000+02:002017-06-29T17:56:02.494+02:00Fire in the pine forests of Doñana<div dir="ltr" style="text-align: left;" trbidi="on">
On the night of last saturday, June 24, a dramatic fire broke out in the pine forests of Moguer (Huelva Province, Spain), spreading during all night and day of Sunday 25 with varying winds from West and Northwest to the interior of the Protected Area of Doñana.<br />
On Sunday 25, the EBD Remote Sensing the GIS Lab (LAST-EBD) downloaded the MODIS image (250 m resolution) from the TERRA satellite through the MODIS Rapid Response Service. Using a 7-5-1 band combination (a false color composition using 2 bands in the short wave infrared -SWIR- and a third in red) the zone affected by the fire at the time of capture (12:20 PM) can be very well appreciated , i.e. about 3000 ha. Smoke clouds are also visible north of active focus (orange pixels).<br />
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<a href="https://2.bp.blogspot.com/-mo__StZRZm8/WVO6kUI1j7I/AAAAAAAASP0/0eJl566yAJAvERaQK-_MTllnpmQ44tJKACEwYBhgL/s1600/Image_1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="315" data-original-width="307" src="https://2.bp.blogspot.com/-mo__StZRZm8/WVO6kUI1j7I/AAAAAAAASP0/0eJl566yAJAvERaQK-_MTllnpmQ44tJKACEwYBhgL/s1600/Image_1.png" /></a></div>
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Also on Sunday the Landsat 7 satellite acquired an image. This well-known satellite continues to orbit our planet and still provides useful images despite its characteristic striped pattern of missing-data due to its sensor (ETM+) damaged since 2003. The 5-4-3 false color combination (Short wave infrared-Near infrared and Red bands) also shows the affected area at the time of capture (about 12:00 PM) and clouds of smoke. <br />
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<a href="https://4.bp.blogspot.com/-5V-x-p27zAs/WVO616bnIXI/AAAAAAAASP4/0bLy_rY0NWUQovu-0ZFMgK3m1lPfzkqXQCLcBGAs/s1600/Image_2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="530" data-original-width="535" height="317" src="https://4.bp.blogspot.com/-5V-x-p27zAs/WVO616bnIXI/AAAAAAAASP4/0bLy_rY0NWUQovu-0ZFMgK3m1lPfzkqXQCLcBGAs/s320/Image_2.jpg" width="320" /></a></div>
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Finally, on Monday 26 the last MODIS image was downloaded from Terra satellite on which the almost definitive perimeter of the affected area can be determined. By that time the fire practically was considered controlled by the firefighting brigades helped by the improvement of meteorological conditions. On the morning of Tuesday 27 the fire has been declared to be under control by the Andalusian fire brigade “INFOCA”.<br />
<image_3></image_3><br />
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<a href="https://4.bp.blogspot.com/-Ss1ic0mbFNw/WVO6-BmxM9I/AAAAAAAASP8/4rhBUBlVu3UYNYO0lGa1s2l089NIrAOFQCLcBGAs/s1600/Image_3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="938" data-original-width="1350" height="222" src="https://4.bp.blogspot.com/-Ss1ic0mbFNw/WVO6-BmxM9I/AAAAAAAASP8/4rhBUBlVu3UYNYO0lGa1s2l089NIrAOFQCLcBGAs/s320/Image_3.png" width="320" /></a></div>
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On this image the limits of the Natural Space of Doñana have been superimposed (including its last extension). The rough red line shows the almost definitive boundary of the area affected by the fire, providing a preliminary estimate of the surface burned of 9500 ha (please note: this is PRELIMINARY, by lack of ground truth data and official confirmation). The affected area forms part of Doñana Natural Park not reaching the National Park (central part of the delimited area). Both constitute the “Doñana Natural Space” within Doñana Biosphere Reserve. In black dots the location of the study plots of the LIFE Adaptamed (LIFE14 ES/CCA/000612) project have been incorporated in which the EBD-CSIC participates through its Monitoring Team on Natural Processes. Three of the nine study plots monitored in the area of “Abalario” since 2016 have presumably been burned. <br />
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<a href="https://3.bp.blogspot.com/-wDJ8gLl-EgI/WVO7FW2usrI/AAAAAAAASQA/aQxTIkOtVqImDcaRn4u7AjllrXjICh2swCLcBGAs/s1600/Image_4.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="242" data-original-width="310" src="https://3.bp.blogspot.com/-wDJ8gLl-EgI/WVO7FW2usrI/AAAAAAAASQA/aQxTIkOtVqImDcaRn4u7AjllrXjICh2swCLcBGAs/s1600/Image_4.png" /></a></div>
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The image of Sentinel 3 (300 m spatial resolution) on the same day confirms the extent of the affected area. A second estimate using a this image gives a burned area of 9673 ha (6308 within the Doñana Natural Park).<br />
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From this moment on, LAST-EBD is prepared to elaborate detailed cartographies of the affected area using remote sensing images taken from satellites, airborne campaigns, or drones (UAS). The Instituto Nacional de Técnica Aeroespacial (INTA) is planning an airborne remote sensing campaign to evaluate the damage to its facilities in “El Arenosillo”. We will coordinate with them to provide ground-truth measurements. It will also be essential to monitor the natural regeneration process and restoration activities in the affected area in the following years. The ”Doñana storyline” of the H2020 EcoPotential project is centered in the marshes of the National Park, and has not been affected by the fire. Nevertheless the essence of EcoPotential project, i.e. “best use of existing and incoming Earth Observation and field monitoring data, complemented by appropriate interpretation tools, data services and ecosystem models able to use these data” is fully applicable to learn from this unfortunate event.<br />
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-88487502518739295762017-06-27T10:07:00.001+02:002017-06-29T17:56:02.501+02:00Incendio en los pinares de Moguer, Asperillo y Abalario (Entorno Natural de Doñana)El pasado día 24 por la noche se inició un dramático incendio de copas en los Pinares de Moguer, propagándose durante la noche y todo el domingo 25 con vientos cambiantes de poniente y posteriormente Noreste hacia el interior del Espacio Natural de Doñana.<br />
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El LAST-EBD descargó el domingo la imagen MODIS del satélite TERRA a través del servicio <a href="https://lance-modis.eosdis.nasa.gov/imagery/subsets/?project=other&subset=Spain" target="_blank">MODIS Rapid Response</a> de 250 m de tamaño de pixel. En la combinación de bandas 7-5-1 (falso color con 2 bandas en Infrarrojo de onda corta -SWIR- y una tercera en rojo) se aprecia muy bien la zona afectada hasta la hora de captación (12:20h) aproximadamente unas 3000 ha. También se observan las nubes de humo al norte de los focos activos (píxeles naranjas).<br />
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NpjJ6o3gYpNoIIFK1iwhAUKNgERq8nhNDk2ea5dU+SCSt1QhQ+sCkH1e2T7Idt/xonP+KETU/8+1+6jKk1Y3iaew1MCFsuyY3lBrHIfaT6G2y/w7lu677Vx6I+ulX/zyP7gkH1jef6VffWlY+7IMrhn6fFzHRFTb9Ta57e22MzFLCfyWKpOdvpug2MXL4bDfINbV+4hy4N0/Yml79o59sY9+8az8MazcGUZ36e747r2Y67rzNR7au47s/Rf24deOsfebE99vTN/ZR8PE53K58LZpaejsofD4IOP4Z+0an/cCr7XCT0cVjwaVj/pkT+qlbxbtvCDsqXvV0h+UCH5QavyvVU8g6LzaEJE6fJIfQGjL+YNZSxbxBmKGTIPAwUELNzU5RM6kRJK39BmUHieiS7h6GIcy1XAGXNA4rDqw2UsSakXqOhsKZK+Bqcva9NWgQwlKsThXAor2CRLWV0ZryvldEUMKsLBTArNodEcBhOyhJAjRTSZDaNpSm2iXJ+tJDOVSIZUk7KsSlwDkgE0i6ZEJJdL8SLalEtZRJRFhJkECJ8NGrM2dOmEPnuLL/Sayp36YgrOwUABCefhYOYGnC6Dk+a0DxfBR0o8GdBnaPQZMJcrJ9MkSKIUT1KQSXLsiYZIwOgUC1fg5ivC1uZDe/+JTXxmHbmyj984J2/tU2eWiSA7FHfN3h3Al5+rw/aZiG3m2Lsc9SzYrRNKsmMZrqfNA9Hgctw/5/fOuNzjq0D1M0mulGiU6Vs71/OrFzPa5YU/n04tnkz75XIBZRx32VZMhgWPVR60gWEPHtvRR4P0wef6vfCvdl3KsAc+ibKxoA4mJiSabsI4wdlnWOsYaxuhtme5nRXKNgcbx1nHnN2+YNKN3eOAchNQ4Sdbjq1Dd87ZG9vMtXnylBvbpwbDZF9Q1+PXddvgeou21oO0Ram+CNnj0Ta6wdow1RrVN0f1rQemvlP78JFt6NA6sG/rjpnb/HSDC6uyQGUupDJANcS4tkO+89jcfWLujjEtXqTKj9f6dfUurMpL1Xnoevh5xsIn9zUziRZ5nlddekq1/845+bVl9MoyFKPbvViDDa+jwIoNZZFClrsqyW7tfCel4D/++//z3l/cv1dQ/t3lqUxcU8LiFYi6DNeWMkgxgxaQ2ixclU5qMjchkQ0p2YKKtoAip7bMA1X44ZoQ0hAjWg50HXtke5hs3UUb3WiNEytzYkVOPN+G57nQEh9SFdDWBVV1IXVtHGo8Ilq+dky+ffH8dy7JNTtxa5595Zo7t43u830hQ2uM7TpzDJ/tDAUdTVvGYpe5LOSoP/f1HG13hm31HrbMQxf7yIoDfedLy9wb9/xX20t39rlLfvzEMHhAde/rOo4N3Wf6njNu8MI0em2d+NK19DvfypVl3KOtly9mri6lzEkTx4GEPvB+q/pHH6l/2AK806d+2Kd+2LTybtnS9386+5/Tp/+6QPK9Ysn361U/GcWTEK6ANZYy+kKcEOF4DoULGTL3/2cV0+VqsCwNlrGhy2TI3E0ij8HzOV2RiSnGiJxlTcKo4v4Cmiw3ZEmYjDl9mpTLWaayp8HURThLCmapgBxSk2eHSl1IuQktwnEhSAgoVEgjQhYWcmAOhwh5XMgQOQSWgWA5G2SOksheg9Ok2hQNlE7ocjaNhay5EDfmqgzZciZdpk9T0ekbunSESMOJdJrO3qSyWV0OT+exVD6O52ygWQiWqsQTF7DHo8gH49AHC9hjqS5FwWSpWKGKFa6S6XNQ4jKYIIefgkQyY8gy0YUeY2XE0nxg7zlxiE9s4hPbyLlr4tAiPjFNXlhX7vza6xh8EFHuumdd3KjHNLrJ9gN0p1hT0bmev4zXBAJTFlMXzrQokKqu6eTR57nD63mjmuJxuLJ9Pbd0+OnoevnserUS6tyyLptMErdl/fgFdRbl/Y4NC7tu4eSxgP7w10b3jsb1QhMIYnaXXAr2Tz1v0CC9GNVH6HosFrF7Z97rf25yLm9Q4i3Hgt/3nKbE9+xwjROqDes6Ti3D147ZS9vUlWXmzDR5xI5GqT4f1uFGW4J05xZQwytrd5H2GN0fZ/r2jL0ntqFLj/jUMXhoHggxHW6swYXXBwxNAWOTi6i2Y5U2uNyOVNiRMidc5iOqQ/qGAFHnRaos2lIvXrNL1buIag9d72Ma5fOJkrGH2EqmByoLQFXHVNtX9vFv7ZNXlqEjQ3eQavWQjXaywU43mXT1JFS+vJjeOfAwMf8v/sP9e3/243vfT7hX+Iv/OL2YiACluLaUgAoIMAfWpMHKFFyTzoCCLaRwCyl0YmV+ojpE1keIxijeuEe0Huu793VdEbzNjzbuYnV+otqLFTuhXDuS54aLfUC5T1HhlZV7ZWW7qlK/tuyc6XljH39jm3xpmnztmP/Ss3DtmDi3DR/yvXts156x59DRG3a1WPgSTp9nN5QE+GqfsdKpL3bqC3eNZTG+/ozvf21feuWYf+NaemmbveTHL4xjJ4bBPbIzhrce0V2HdM8+03tgGLgyj71yzh4bB7c01avzKauS5EVF0oT2SY/2/RbVD/9EZpfi/T7lh7+UvVe99o5g/m/TZ/9atPwdwcxfFa98t135/iqShpAiDBduINk4kk1jwk1SSFN5BJ0H60QqPEsGpyjRFJDMYKl8mhDhUDYBCyhcBMAZc/KHw9KfPJO9PwUmjCNPRpGns2TqHJk5BaVOAKlSNAdA8mi4yIKUOtFyC17CkHkIKaTQXAYVsaiIhYWbSA6JZoFQmlyToIIzVXgWqMvZoIQwkYNhWQiaCWOZG0SGAk1ZhBKmwccLyBMZnqTBUwAshaKyCDKDxNMpLJNEM0g0i8CyEDQTJ1IBXcoy8WQcuj+ofndc874ET1QyWQArArlcmS5zEUpcABKk4FOMTDcZRTxZYGfKvUxtwNC0Z+o9touP7eJjx+ipa/zSuXTjll/vaM8i2v3wp4Htebdp3G0dXwVqn60Xd64XfiQR9EiFnLXX4xpUIFXjz4VdMylStEZJN01BlT2KgoKxJ6XDSYuaBgTvIXXDLDevQUZAZDzghqMBym0Hee5Tnvs0vKPbjxn9ATT8OR4J4+5tFaafArBBTDcI4l0qqBEj27ZcE6x1AjeMUcZJv389sCNl6OF7u0TzLtoc1XWe8MPXjtlb59KNY+HKNndmmozR/W642QbW2bS1mCSfWCp2AU0Rff+ReeTMNXq5PX7lGzt3jx7Zhvx0xxZUzcNVdqLWTlQ7yRobWmaCinmwiFHn4uvZpFywqc7l1QWkVLAhSWeBAqeuagsro7UFoCxrevQD6UwCrRC50QovXBlC6k7p7hvj8LGhe5/uCOlavHidV9cQNbWHTe1OsgZT5moU+RPzmb8celL/8Y9Km/6y9uO/nV5LAtX5gEoEqAWAKl2lSNIonm6ok3EwnYYEPJrv1pUG9XVRuiFGNETRhjjaEINa9onOA6o7jLV6NFVOVbFbne8B8jzafJ+2yKMqckoLbWv59vUCpzLfqc6L6+rPjD231uFX9slvtpe/9i6/cs/cuabebM/c2MePjH175u6wo9lmLGZ0wi19kZ0u4nX5DJGzRecGrRWH9tZLy9Cddf7GNPPKtnBrnr0yTr60ztxaJo7p3ijSGoQagkhjkGiL6btP+KFL21iIbifWCySLyTJFhgxKn0WT+sD7v9S806r+8S817z5Tf/hM/eEn4NNP8JQG4EHB2vcL1r4rmPkr0cxfVi98Z/D5fYk6SQmkqYA0BMrcxEUMkUPphAglkmIZc1DyovapDEzWoKmULpfEcmAwAwbSEShTqUlZkD+cXr8/Lf9wEUpcQJMnkMQpPHWCSB8Gk9tlDz9RpqxqsjbAvE2oyIaW2XQVJrqE0uVRsIhGhAwqYjAhgQoAOEOiThiXP5iQPpxTJEi1KQguoHS5FC6EoTSNJkmqejy3/sHo8598In9/TvtYTiTDVAZGZSJYukqbuAEmE0g6AqZgUCqNZ1FYJk6kavCkVTJBQj2V0slKOkVJpUl1aQoyG9CLVKTgT54sBRI3kFSWFjCoyGOoDFlaQnxbzNQTs/YdOMSn2+Mn2zOXO6s3fs2FX3sUUEVePPc4Z03GYdY8uIzU9quKa9cEpdNJrWvZiLGNNnasaiuGV4SL6lKLe8y0PTYBVjat5Px06GG/tAzWD/DsOE2M8sz8Bj65Bo5wFmUwSAcCep+XsjtQv5eIBKhw6FenvzEefcEFg7DT/anFJqHYUTnYIlFVy6E6mOnGDIMYM8xbZrZsM7R+aFM/ci+s6wgSHXG695wfubLNfeV9/uX26o1l9pQbiRFdbqDOoqpAFkTgjGBzvSpE9caN4j1+aN86cGAbiJu74+beuLkvyPV46Xafvs3HNFuIKjdVxyMlNJDPaPNpQIQpskBZCiBNVi0mKRYSpQtPEaUAB3JlKymfjL3f0vW3i9OPVWvpjDbfgpTYwBK7usynrY0THXtUxx7VHqPbI7rmCN20b2o/tHaEDQ0+uoaGS2aXUz9ZSlrTZEk1aYvryXIwW67IksrTpfJUuTxRrniiUD7WqB/DYCKmTdtEcuy6ol26IkTWhLHqIFQV0lYH1fVxrPNQ1xuEWuyyUtNKnlMm8ihyvZo8v6bQqyh0SvOd8nwvWLKLlXixwpi+4YBrvbINfuWd+f2LlW98kteuuVf2md/vrP7B//zWPhU3dgbNjTau1GQo8NtqA+ZKt7HUpM+3GPIDtspDe+u5aeCan7rkJl5a5m/Nc9f8zBvH8tceyZ/g9GvrPGCtB23wky0xtvvA1OejGhFFnnw9XQkKFGT2LJHUDz/oAt/v1L7XqflJn/z9zpV3BpUP5+isj5GEwpXv/1zynZ8v/d1/W/5u/eL3nkneW5QnyNUpGm06hQq36EJel8vQuTCdI8HSp6Gny3CSHEpRgSkglAYjGRichUCZMJghVz1dlH0okT9aVSXKoTQZnjkHp45CScNIapcyoWz+Rx/Nvydee7qqzASUAlKTx2MlHFFMIiIMyCbAHAoV0oQIJnLkSPqEJuGZ/MGw4tGcIkEJpFGokNPlc7r8TVxEozk0mQNCaRLVkznlo0Xtk1U4UQolrmkTltcfTEveVSgfU1gmBqUSUBpLCFgsC4AS5fBTGZmoMqRjJgFhEmGcCDaINkghSAo1aI4czFRCGRptOgJlbpJCBi3wcfVxR9eBezBuHwjyXX5TV8Q5EHONHWwvnPlV5yHoOKyNvHjudM9yllHcOgBYemV8Zx9cXruWPagp0eibZXD1Gli9oCojjL3e4AJhHqyfyf75WMpPnyXMQa1btjknv0TCIzZOaneDuEnOeDb8MfPR8c7RkS/4Ge9y4RaLymlTRgO4xSHnLM+9HlU4CNnsyxtkjwZvRegOgGhhjCMUO4pTQxJlw5SkjCD67kXpnpi+94gXX7tmriwz3+zIfu+X31nnT/RDe3hXEGryqKpYWSm3Xhaiei898yfOqbhpKGTs3jW0+fWtHqrFp+8IsL1R88CBQxy39fuYZjtRzUGljLaAhQo5tHATziW1WbgmgwZEiDJrYf5h/8iPPur66190/pV47N1lSYJKnoUAIhLKpZF8Hik2acvsmqpduGUXaQihjXFd276+LU41HTDNR1zLgaHBjZWa8FIQFKkQAc0VUAaRAkxbVaeqNAKlOlOhSlNqUlWqZKXqiUrzUAM83ACSCCiDw0QuvNiHVQSQyhBUGwZrDvHOQ7w7Ard5lXXO9TKPvMQnL/TK832q/ABQEtSWBsDyMFEdN9TH+NoIXx1nG2KGxhNz5yvvxDf+hVfOqQtu+ETXd8EMfeVYuLVMxJiOIN/kNVd7TJVhR+Oeszloq7ezpTyT7+HLYqamE67vkpu45CZf2ZburAs3ptk3Dsm329I3zrlr09iRoTuka3FjDXa4xoXW7VKNLqqahAsVmnQFnLGKp02gj5/BD/rhB33g/Y819z9Rfji4fn9w/cGw+slHsvdKF7/bJH/3Y82DQe2TUdXjReVThSZ9AxLgWK6JLvJyFV5TpYUvI1h9mqMAACAASURBVA0FCjJbimXIsUwVnKHUpMiUiSCUQWBZBJYFQ2my9YSFtQ+XpY824CyCzMX0hQoidw7Jmsazn2lTGlbu106/2yN5PC1LWXyeopBlYJpcSpuHq4WIMgMDsnFEgJNCgBQsIqliIOFjxYfTcJoUzMChHB7N5/E8Dsvl8TwXWeTmKjhdPoxkKcA0KZS6BiYtqp9Myz/8ZOm94fkfrymf0oSIwrJpNNuiy9siRKA2ZQPN2KCyQF2mEk1RIWkEk7/lqLKZazm2AkELAFCEoQWbeJGFLvXztUFTS8TaeeAePPdPngVmIo5BJ9/hsnQGnSMB52RsZ/3sc/Q0BoUCz53b8/adZcIzBjqGNrzDGvfghK5+AqleQ+sVSANItmP6brdvyeVdWIabRT1PhP1JhZ9kTGlaPJ71oEtJIOMMs+IL6t1RzhLhwsfel68P37w5vfqn2P6v/967rbNZlE6z3GSW2e3Ko7jh7twZiWxQ/KhG1y7HGu2uyVBAZrHOIVjf3POq6eVyDOu7FzH0xfjBE+fE7YuFS9vUjXPuK+/Ka+fCOTtyoh840vfG8FY/1uKE6qPs4MX2/KFjMm4djpr7fEyrk2ywoHUeqi1mEZ94ps68U/uOQR/TbCdqbXiVBas0oSUcWsih+ZuIkAKzN+RpG6oMqSxxWvKwZ+qd9tHvT0seypWpG4AQ1uaAQOaGNouAclmwhNdU2LS1FlWFW1sdJVoO9e37uqZ9XcORvumYafaCRXa0mMSEKiRFgT5RoQkgmgxj2RgqQpBcBBFiqGgDzlRpExWahxrggUr1aEOdSAAZrFboBIt3ocogXBsE6w6J9mOyO4Z2eBTVdlmpR1kW0pZHoQqPqnAXKIng1ftM4xHfdmBp3bM2xC11Ua7BT9XEDE3n9sEL2/CRvjeobXauVXmltXtQ5wHWEyJaoqbWiLPFb6n1cdURY8MuW8vpikhMaKIKdvW1B/quM2bskpu4sy68tMxf8zN31vk3zoVX9pmX1slrq/jA2BPUt7mJhi2owoKUslgJBomkmpRVbfI0+Fis/WAQfL8f+uAZ8KBf9QAx5DOmEhWWLZY++Gjhh02SH09BSWtEpkwnUGHZMCokkDwaL+SoUjtT6TFU7lprnXwFwxTARA5ICEBMoAGzlMpUlSoFBjMwOAtHshEoU6lMWpY+lkifwtocAi8AkLw5eVr/8uNfLj6omvrxzz/5bsPsez2Sx+Oy5Om1pLW1VFgl3AQLN8FCQpODawU4ItjABTI8cwpK6lcntKseiaEMqVawCec7kWILXMhC+Xa8JMhU7XLVdqqUxvI2kBwNlq1Es2RQ+iKQvKBIWFAkAGjOJlPC0cVbVInXULnLVG5RJby+iDYUEXQ+ggpAMJsiiyymmqCjY9fa6uQabYZ6N9fk4Zr8XGPU2nboHj7eHj3xjp/6Zw99k15Ln8XU4Xb2hXYmd7fngn7ZwefoXkjlcs1zrklTQAI4R1ZN3UrH4IZ7RKJvk+BNUrgZp/tZ05jNMRt4IeNtc7Oq5oohQdmw6KOFcoyfi0WJgEcLIpMAsWAP6iP/sOPac3p/47v+6uzbf739w+9u//j15d0/RvZD7K4dxMiFTVYafqE7OeRjn2NOzwpjHd1gun3e+f2oNuiV07oRuaplWVojV7XcCxuHIuahmGP40Dce4/vtUKMHaYnrByJkT1TXfcgO7ul7/GSbSVPtITpi5pEIL45ZxAcOcZjrdGL1TrQxzPZdbM+/DEiufLNHDnGYaw8a2v1sq4eutxEVNqLcTpVukQUUmI1oMja0GVJlkkSdJFEnLSqfKsB0DZgBaAUaIFOhSVVqU2Ewm9DmU+oSRl5mB2uCZPMh13Nm7DljOi+5rmu+69zQFkGrnGAhjQlhPEkGvCtVvwNoH22AqTgiJFARieZTeB6B5sBQCgg+3oAegUACrEnCNemMRrClLXSD5T5tjUdVFdTU7pPth3RPGGnxqKq8moowUhUnqz3aYi9YEsCr4mzTnqk1yjdGjHUxc13M2Owjqv262n2uc9/QFSM7QmCLd70upGoMqZpDmpYI3hI3tcUcbQFTg5eqDukadql6E1ZGIfk8WeSlaqK6ziNy5EA3eGoY/ZMu+clr8+SVeezGOnZpHjwx9R9Y+sNcu4uo5pFiGsnH4BwZkLKsSZgAHnyifX8QfH8QuC9WfzCs+pBgC9yeBtZYLoMyxxUJ/SsfTK8/lmtTYTKPoop5XTlHlvG6ChtT7WRqnLpyC1PGkoUELCBgAYHm4IgQAYWAVohoMwFVqlT2RKFIRKBMGMlWaTJUmqxNspRnqmGkaEqS2j72QcWzHxb2/V3x0HcaJt/rW3oyIUtbVmQoVUISLNpCK5x4FYcWUmjun3LaVTxjAkzqA55+rEns0aSugjlbcEkAr/bgFU68PMTUn1m7Du2dAWOjiSwnkDwVlCODspeBjAV1mgoTwVQhbazg+dotrsZuqPUZ6oNso9/Y5OLqLMZal6XeZ25yGWq36CpOV+U3dYQdvTH30J5bHLb1eehmJ1bj0zWEzf1H7sljz1TQOmRnOhl9K2/q9HiHwoG5QEASimgikQ3f9nOWH8Uto4x/QW4TL3JdC2znsr5jHKpTUt0g0bPJjJrMMx73isf9nDPNS8E+8UpD11LdFNATi1MHeyxvWYepJYCT8QFm7yri/sLNRqwn/3L86tvbP/7h1dt//Zdv/q+Diy9cYQ9uM4M2q9blAF1urd0l5x1LCDu4CDWQTL/HuRBwy03MDAz2Lkvr5iS198ImsY/v85q6fLZeE9449Uni1HASvlZKySo4RY2PaN8lO7x4C6uscGFtYeNQwNAfNQ8dO4djph4f1eLTte2ZxbcvVu6CK1e+2fPt8VP3yL51IG7uDTAtTl2Vn2uI2Zv9pmoOy0W0mRicrQEzlEimHM5Y06ZqsGwQEyCIEISzADQLxLJBOAsH8yigmFwvcSK1YX37ian/hO06oduvud4bY88x2RyDqnhFDqZN28ATJKofSGTfBTUPMG2KRp0OApkYJCKQPBwRwFAKgjzF8ScUnk6jmQws4ECRBSxyayvd6kqbrNStKI+izUf67j+VinGqJUrWBZEyD1TqBIu9aHlQXxc01O/SVQGmJsrXH/BtPqLar6uPsu17bNepcfDaMn7Fj780jh1hvTGoI65rjxrbwuaWIN8UZBr2mK6oodNDN27pKpyGqiDbHKN6DonhINgWRXvieN+BbvCMHbngRy548bVl9MI0cGoeOLL3R/lOF1FpQkt4soihC5Rw6qo2YRp8OIV8+An0gVj9vlh5f1T1UKpNNRkrbOZqm7WeNlZMrycML95XKJJwosCkL3cZau36Gruh1sM3utl6p66SQPJgIAtRZlBAFgOJaCSfxosZXTkGZEtXEj6Z+NHU/HsabTpFFhB4AYLkk3gJS1drgALxbGLr8P2Knh+U9ny3aeK9htF3+5aezCmzFKAIgYs20bIttMKJVtp0ZSxZSJIiUJe9imeMw8nPwKRnUPovlclzyixOW+yHqzxIuRMtD+kbLq09+6b2gKGBR0thrUihzpYC2augYBXOAXRFpLGKM9dxfJ2Jq7fpG9xUwy7d5KHrnUy9h28MOToijs6gqc1taHYaWrxce9QxcOQb33eP7bJdjKaclBeZgIq4dfjUO3/omvKwfSZ9p83c6/IM+V6Meb0T/tBq9NdQ5HPI417Z5Ecp+wQbWlG6xqb1HcNo/ShcN6yqVuBdINZrYqfs9uWgX7m7/anLIaOYWQ0xuQqJKct6LK4PfoZTxue8G9r0YptB5vBmb/fAy3/uuPzq8uv/+eb3f3zz7ddXL/8xer739/EdKh4wR1+wfi/hcm/s+sHdgIa2TixCTTjdv8VP+V3rPpvMZVog0EGluuvennvOaxngrO2WnW6Gbx9fzuwceDj47KlsIVe1nIeslyLyYkpdswnXW6g2D9cTNA/GbSOHztET59i+deDIOnzjnv1yZ/VLn/TGNX/pmb30z527Jo7t4j1L3561a9/ZtedoD5rqnHQZiQgIVLABZ6rAFKU2WYWkwVg6RmRydAFBCDcN+bQ+18QUeZlqD1wdRBpjTEdc3xHBmkJAXRRqPKQ6j5meuK7NBhQxCiG4liSTPJQ9f6BUPN4AkjAoFVSKNtRCTCsk4GwETgXBJ4D2Qxh5SKDJGJi0CQlsSJFNU2JRlrnVVT5tfYTqPGUHLpneE13LkaFl39gaMTaF2AY7XuLCS11oiQcvC+prYsbGiLFpl64J6OsjXPOeufPQ0ntiHjy3jFyZx65NYxf60SOsdx9pi2BNLqTaRVT7mcawsfXELL7xzt4Fl0+3Jw+s4kOL+MQ8eMj1holuP9IeQDv29ANnxuEL8/ClRXxlFZ9bh46MfcfGwX22z0+2BPSNYWOT11C5SeQhUOay8vGqNmERTRwHHw1rH/epH86tPd6kS8PuzsOQOB4Ss1y1XJmukafzZImTqfEaGt36Rp+hzW/qcHNNLFmOaXM10lRGIdiFS3xQsR0usRAVnK5qE86XriROT38wPfNAo8pkqBIcL9qA8zbgwjVl7scTCQWtP/hp/d/+t84fNj37ccvA93/R88Ou0Q+WpekkUmJn6ne5ZjfVsIXWmMiKTbyIIfMQPGsNSFxWJ62CWVJYqMGK5uQZH4/dn556bAPLbOpiF1ju19Xb0IottGJDkbewmKLS5Cu1BQBcSNDlGF1BGRs2LW2stWPT1MFz7TZ9h51qZw3tW7pmv75t3zIUsY16jP0+vmffMRixDYVsgzH3+HlIchaQhLhBP9F1yIrfBFXfRDfefA6eBmRR/1LsM0k0Kgl+vrC5PcoHZhjvJGweYuxjJtesJyTb3FlYtgzMGboW8HYp1qFCOzeIbpod3LKP+T3Pd93S/RDssa/bLDKLXWl3g14/HgyhlE2uYFaZbZx0wNFD35svr/f+4SDwRfD0+vjrb//lD//65u0f//u/fXt7eR7d//Xfnx7tHn+xHXyh97o29oK/Oo3rgl45ox+xGSdYeiTokh2HfhXxaN2m527T83t7rgWvY4R39dA7nZS9Y1wu6ptOGZ5KX14Uzc0KFNJiWF3h1He7Db0eY3/AOhRzjR1uT5xuT55uT15tz7z0Lb32rbzefn7nXrl1L7/0SV4GJHcvll6+mLvamTzbHjpwdUetLbt8lVNfsknkklgOCKXJVU9l6qcaMAlG0zA8g8SzESx905DLsnmcPs+mK3HCZWGy6YDtjFMtYbQxCNaF4cYo1hLRtYXIdg/awKnLwJVM6VKiQpqEAZkknI2Dmbi2ENPmIUAOos3cAJI0wCNA+wiGH+NYMgIlkdpMSiXAngsYaYETqPYjzXuG/pf2iVvjYBytC2HVcb5lz9oe4Zu9TLVPX+Uhy71EeYipPbS2HTm69q3tMb51z9x+7Oi72B65co6dW0Yu+JErfvTaMH6M9+3DHTGsxY83esj6ANMSNXYcsOKb7aWvwvLbFyvHjvFD0/CJWXxmHt7TD4TwrjDRfcKP3tgmr6yjV9bhV+6JG/vouUl8ahw80PeEiJYI3RI3toa5ehNdROEiBZAih1JW0ZQJ7ZNhbUKf+qFElUIxxR5HU3CnJxTos1kbSaKQ15V69DV+pj5gaNqlW3YNbbtcq42upZAiCiogFTlb6twAXOoFCp1AkR0rt+tqOLRQI01dXnwsWU5AQCGrL4ORfJlGMCVJbxh4/2dN38us/07WL/4uq+Zvflb7lz+r+fOC+j/vGXpXLsuikCIbXR3gW4OmNh/bwpFlDFZI4SIEzVQASQpN6gaWR1ClFFklkQsKmv5KWPHvFEsZTrjKg9Xa4EpWU7IhFcoWM+dmUzBtKc/UW7gmiijfpGt5vtVk6+KdfbbtYa9vbNcz7rEPOy3DftNQzCI+sE/EnDMRx1TcNXPimYo5J/yWkV3r6Mlnz7/+Dfp1HLzzSd94pV+FNN9EN7794ldfHmLncU0ktOLyTVm8oxpzzyrTPoXVz2JNiGmYsU1ueuYUxsFprmeUaJ2AWtbQTgDvhYleQj/A8qMu+5zTNhvxKX0umdet3PVqohFdNEo5vRopMYlYVPbPuOiB++Kf9k7/8Yv40R7vtR6dHbz9H9++/R/fvvq/rw7/IRrZ853+Q+h3r05fX8VP4s5YQH8aZS5i+phP5eZnXeyUSTcWsssO/fC+D9rzbuz7oHtB84TdPkS6O2WOumWu4mNl5jNZ9qyiQKapkshKQKh+U98VsI76LSMB63DUNXHomzn1TR25xg5sg2f2iVvv8pd+2SvP6kvX6ivP6t32yrVn4XZn/lVw4TYwe+oZjFhad401Xq7cy5WzdC6jE+JopkabAgDJCJiGw2kknE7C6QSSztJClhayhHALz3cixSGyJk42hpCagLY6CNaF4EY/0uwnOkL6njg3GqT6LVADrijEVXmbcOEmnE8CQkyTC6oEKnm6Up6kVCSo1I9B8AmCPEWwVBxOY+AcHizkgWIXXBvWdYR1HQeGoTvHzK1JHEZq3GCpX18dNjdFrS1etiZgrI+YGmOmliNb56mz58jWGTM2R7jWqLHt0NZ35Z248U5dWEfP+KFL0+idafaCFp+SfadM/wHXG2La/VRLQNeyC3WemqfeBNZf7jw/4EfCuq49fd85P3JhGj2g+w71g7f22TvP/KVt4so+/mZn7qvt+Vf2mRvz+IlhME50xHVtMaYlTNfvGmts+jIcEYBYthLLnNYmfqJ50qN4MK1MVCECjCykmQreXLfJVnFUuZuti7CNYaY5SDd7iUY7WsuCFYhCJF/LUK2lk3LBLlpxQDWEkUqPttiLVuxS9VtYKaURbqiyQHUGgRfQdIkSFK6psydWsou73sms/87PWt/JrPnu44J/n1X856W/+JuWtr9dnE6gtUU2stJrqA9aO4LWDg/XtKWv5qhSlsyn0BxQnQoqUyk4jyfKbVQToCws+OhvUkv/d6lE8KcTBQdUaCTCiZEnCzOpoKLYQjV5jO1RV3/Y0es2d9ktXZumDsTYRlp7bTuT7hdzTu+s1zEfds/ve+b33HPx7ZVDv/zYJz1yLUU9CyHnbNA5exSUfX30q/95TP3+c+zbIPjS9+nVtuzcL7/6HDyMKJ3uKdzcB/JdE3htp6rkI2lej6p8Tdcp03Wp2IFZvK0PbHgGNk4jHVK0RwK0LqzXK7WtmwaxzTThss6GvLKITx0PwHth/Pw3XCSMYeySjJrjdnSeiPn84vObqy9Of7t3dHwQjH52fn7y+2/++zf/z5vjfzre/bU/cBB4+ers7R9e/fHry9f/9Pn1b7ZfHf793Rf8WfBXh9uakGXFY1wK2z+NuzX72xunn/3qLETc2yTaSWOzxtkwaMz9SJn0i5XHz1SCNayKYrtpusfGD7ssY15uyGcUhy1jh9uz5zvzF9tTh9bBmLEnxnYfW4evnXPXzoUb19JLj+Tl9vyNe+rCPXmzM3Ppm4hZezz6GpuuxG4ocRtLaTKH0QlpMofAsnA4AwfTKW06CaRxkMCECHk0lwNzTGCuCy3xoaV+pHQXKNkFSgJguR+s9IA1Lm2dG23z0X1x49SRdW7fPO4l2zmokgVLWKhwExAhaiGoyFatp8llSUp5okaVsKF9CsNPcSiL1GZx2gI3WhXTd55bxs4tE3H90L5efGOduLOMHOs7fFjlFlJop8pDlga/pTHubD/b7r/yiW98ozee4WNzd5hpjHDtEa59z9x96hy+8kxcOScuzMNn/NAFM3xC9J8QvVf86JV9fM/Y70GbXNo6p6p5jxm+216+2Z7fZ/v8SHOMbDs3Dtw6Ji5Mo5fmsdfupVfby9eOqWvHxGvv/Dc+yZeehTv73KVp9IgZ2GO6InTbLtkQMNZ7mepNrJAm8mFCuAqlLcCpo8DTCenjVVWKQpMJaAUwkk8gBSxS5NFVhanGkL4lSLU6kTpcXiRdyJieTBifeLi8kIQrhbtkTYyqc2kK6bVsel3IA8VbWOkWVswRhSQiwrFcABEtKzIkasHgUnpx1zs/bfyOsOkHiaV/kZD7f1Q3/GB2NBWYz+JVZQG6Ncp3R619UceA39Jt0zfZjPVbTJWFKbPoCmhtNqXKMoGFTrTShTRuwrXDs6mdnyRgeL3T0MVAdZLprIZf/rip4yfT81kkWh90ikOOgZCjf9fc4fWIne5Bwtwuo+sVhjbKNWrxzplcsybrlM0+7nKMelzjId/SfvDTvR1Z2D4X3V4Ke5f8npnIzsLVr9XfHuNfx6DX/k/PXat7lrmofenghTzymdzkmlKxvRKqVYxXNShzq2WCVkX+J2DFJ+qqOaS5R1HxS1lpv6p6AW1dRdrGZVWDC4VrynqOG3Fa5sIe+UEAOgr+6jRKn8b0F4ecxSZZBIdwq5xxY/647c2/HL/556Nv7y6/fXV3ff7b098enp7/9vzqH89vL47++ezg6vj263/+8qurb766fH17ePXb3ZsD1/Wvt84/0528wPZ92phHs+cFQy51dBs8Cv3qKIzdW5Xmyslihatq2Cz8SPa4SZowrs2T4zUWi9jvmt3zroZtC7vMSMg4dmCfufat3L2QXG9PntrFx+b+uKkjzvfsmfoOLeIz+8Sle/LOO/PaP3vpmbr1z17tTMVt/W59vUlXatIVclQuBmf9f+tNTIiDmbgmnVSlUco0N1QUpevjTJMfq9mFqsNobQSv2QVKXKq8AFwawSt3ofItVQmnLOOBWhPU4sUH4saJA8tEgOqwgFU8WMRD+RwoouA8AhQhGgGozARU6YAqBdQkgkACpRFSSqFFXRpEGk8Z8Z114ca8cECNHDAjd/a5rz3z11ZxgKhjgXwWyvcy1TFHx/F2/5V/9HZn4tXOzGv/7Evv+KVTfOIQH9uHDq0DB5aBM8fIrWfy0jZ2yPRG4LYo2BqD2k6ZwRvnzJF5xIe1ubQNfrTjiBe/3J668YwfsJ0hrH5P13Jh6rt1TNw6Ju6cs6/dS3eepRvnzK1r9s4z+9K98NK9cO2YPbeMnZlHT8zifb4vZuwOGRoD+nonXm4hyzfJYgTLAwjRGpq1pkgGNBkYKCBAEQXnbcKFW2CxFy73YLUhpj1i7HbrWmFFyfJCxsJ88vJyCqwu2ETLLHj5Fli8qcil5EJGXcDDZZtgwRZWzJNFFCok8Dw5kDW8+Hh4Kalz6snPO7+X2fCfsmr/6me/+E9N7e8qFnPsSIMPag7rug74kVPH1KFjMmIb9fF9LrbbxNWzdOUWVWbXlVjgfLu2aBerierbT+zjTrpjbiWvfSJZIi9WKMuGP0lL+tmffT/t3pREFAsuxEJLkeCsxzW46xkI+gZN3kHeLyY8vUpzm9LcRbvHLJ55i31+gx9QGNplTANm7XLuTIWDqxH/qt+zEPLO+ben7PYht2vkJP78639Av9wDr188j1rnguYpv3Uu7JP6g+uMc2oWa/mlrChv+slT8bv/L41u+pxWgqZ7Zsy/MF9n4k7EjVkiZrorpqszupaoXHydabe38Nbe2lvbktqWVNpaQhRrshVbAkICISEhQSKBkECAgMM5eVYdzuGcOAgMhgRDQsKFgoZCLY3c8nW287o8H3Im4v0XfvE+7/v8fsX/367+8eN/WbqidT1aCU5oXAM8y50/LN6Trz784+ojwdzNP+gum+2P9sKzODBXpL+pcv4i5aun9xrZvXLGv+GVOnxyLOkJ4t9Q6Wi7merVD7q1l6f/2mhXC8V8ulB8WWtWD18f9f69X/rXH8q9Wueocfq2e3L0Q71ClTLRanq3kvKVku5swpEhV9MJB45YScyWYtZZ2v7RsPgXYtun1vj1r9GrGs8l7eaVpZ0Ha54BBBCWKPPhC1eTtpUhQw3StzFjnzR2cXUNFJSi02VgKhN5xgSHmOBIKjpZhPhVRFBH+Q2EV4UEbULWTsiLEJ8JDyOBR3tb132u8x7Xue3Ni37PJZ/rvNt+ZmPprM921m/7Irf15JSQ/UTr+qC86BlLOwdSrof48nVk+SK9cTO1dXffdTNku+xfvBqy3d2zP0bWR6jNCdo7jqw/2bPfDNkvB+znfLbPXctnXctnnUtfOBbPrFg/ty/+zm779dLixz7rub2lK5zraT0wcxhWHEXVrV1FYZNf2BG8Rg3vSEMjNLPvfBBavuZfurRnv0r6HqbDzysArwkKO4jsCFcdk8o+Lq8jojoi+jkvFKLTbUzagkSFwHjOO1z0jGVdIyXfVAdWNWFlxj/FeUbT/vFCeLIam8oHh2j33f3Vm6zrXmnnWSsy24tLDmHlIazsQMoOpOwgii6q7CLqHqppApJqWNCICRtxUQWYrYD8YnSsEBllfU+prceQ5+72+lW365Jt7axt8ZM12+de+5eBtQuB9cuRtWug/Rq0eA1w3GP8wzlglglOhVxP3cs3PY5bAfddJDQEBwaC7tvb9ssR101g47bfcd29eHHNctZrP+9d+3LD+aXfd8XmOD8m/avBP/xf4q8/fSb86xsj//Odkf/EE//SYbmCuAdSO2NZ70xxV1gDlHVInYtJKT8P909TYX5w55HHfdO3diWyfiVivwKv3uK8Q8XgdDrI2157Ivjj2avD/8evbv6P/+uZ/+Hv7/1Pz6Y+vjz4n82r93FSjhESJqUCiRl/9Jkn9NhDTHipyRVsxBh5ag4OuQBeKC6LRBW23THF5n3B5jVz5NFeYpZltRnGmGVNJCwhUTEAzQDQFEtJSgeaGqOtJDQcrKTiCjgmjwAyX0xi3Br/Z9O1L//w67PC//tXvP/9v3z117d0v/lnw1ne3GWza0Blf2xcH7JsjNi2Rk3uAZH5xqzhisXxBIiKGXi1xPjLTDiL7TQz33YK35a4Hd+Owh1QcJmd/YOdtV2TN7RQyILZg29b1exRs9RtvjrqN09Oeoev+9VeI10rFDu10/84/PDhzdt/b1WK+1zSn0lu5ZLuLO2kcBuJLeKIFQBMAGSGMGsEMn306A//56Tx4/ngNQd6xws9d32OOwAAIABJREFU8UPPAWQyFJ7A4qISaTrNe95kPT16pZ1Y7JKWHmlsYcoSOJsFJvLgRCo2wkRHycgoFZvKwIIqIakigkJsIh+ZqiOiFqGoYtI8NJuKT+xHnsb8d2KBW8Du7Yj/ZsB71e++GnJdDa1f2Vu7XA6PvuP0H7K29/RCIyjiXAPs5iPceQtZv4S4L+ObVxH3ldjq5ZDtamTpNrz2mNqcoDfHSPcI5HgUWbrtX7zosX6+Nv/bNevv1myfOxbP2OfPLJk/ty9+umL7nWP5t9tL52KrV/O+wUNQdAqpjgFlIyjJe2cqQckRonuNaOtBHrsxAK7eC9mu71mvYa57qZ3hWkzQBhUdSNlD1F1Y0QSlNVhYAfn5yFQqMFqITrdQSQeR1KK8BjDbBYXVwHTZP9PFtX3KUAXE5TC/EJ0uRKfSgSHSfQdavootX+fcDws7z9ux2S4gPETkx6j65yXZhpQ9VHOE604JXR9StGLCHiTtwOIGwG+Cwi4m6iLCSniiEBihvY8B582g84pr9YuV5c8di59t2M5sr54Lua6Cm7cR511g8Qa4ep/bGSvFRZkYn/SP7/tHyMBzevdZFuZl4WlydwjYvIftPAQ279kMn4uEf62S/4117ndry5+518+GAtdXnJf+5atfjAh/obecVxjPTEp/yZP+zdL8xZDjHu4cKvinm3FlC9F0UH0d0mYjMjYooEN8LiqKhJ77Nu5vr98AnDeBtVuY81FqZ6wYFbExgWP53sOJvzr3+D89nPjFw+G/UqgvgmFBaHcKBAQkqcAoGZaUbsSeuaJP/MgzDznqIoat0FNt6L4+8NgendiOS/biKneMZw4OacL3V5BBiBZmWX2RNZc4K43KGUKB4UII40EYD0N4FCLOJ1RZ1kAS6khc4gzyjJ7RP9gfPdRdviD95L/M/s1vZ39x6+szY8vX/2X+yuzX1xybE07PrM8vjMVVIKb1RIUax9OvrPdXNsYgUJUi3Hl6p0iH05i/VyC638FcwhmL6s1rE/6Y3h0x8OZGvl4VZFKBVpU67b06+lO+Vc8e/mvl9HX36HWv0q7k64XeSeenN/0P/+3PR38qZrgoBjvh+DIYM0NRIxwzRoKawK7av6sGAPMeYPSG1B8NyH858fWvTd7LLvC+Hx7aw8ZIWgiBs2Bklo7KmrTtkHM0EvYGYW3gc62EsUGqSqgwj/IKBC+P8jIID4tMAIFREuBVaWWLUlRgfiE61UDFbVJZwxVlTFIghBlkkgafYdEHSOQ+uHsv5r8T890Gtu4CG7dC69dS/qcdVHhMqE9IQy0ipt0DzM5jcucOvHE5snYutPpFZO3cnv38tuVccP4KtHyP3pxgPOPsxtj++mBk6bZ3/oJz7tOVud+6lz7zLH/hWv7SPn/Gavp0af7TFdsnjqVPtlfPbi+exRw3yv7n7QivHRZUd2cz3vFGTN2JqXoxeTsqLgUnSeeT2OJtxHY3vzvSAPh9VHWE6Pqgtgeq23FVIyatw5IqKCpEeLnwZAngNWBRGxY344IaMN2DRJXdyZxvso2qj5KmOiyrxUQNXFKDBbnQMOm+i6zeoN0PyrujrdhsDxT+TOYpoeujmnpU0gBkfUx7gqrfkvoTWHEYl55iihNU3okLu6Coh4v7mLQZ5dVCU7md5/sb95DNOyHXVY/rgtN+dmPprH/tAuC7TYefcsGhfecDZPVBamesEOFnQrNcYDIdnEwFRmjfQBaYKqOCXHySDT3LxEbJ3QH34sWvVb/+/dT/olH/0rb427XVz7a3LttXz88qPxapf/u16YJl8fLXc1+azec37LeCS3cp5/ARZjimDUdJUwfXV0BlIS4vw8oiLMsCAiQ6Edx6HNl8gPse074Bzj+Sj/IroIJDJEVOv7E1JP/6UigwgUUFFKwop639oiOX1HOUGiMkeyjPFRl0xQdWIg+8yJALGVxBntrgATsyuoELAqQyQmgjiNyD8p3keCA5Q7GyAmssUeZiYiFH6hlcCcECEBfgtJiipFxCVWCNZEIVQ8Se8Kxla1zqeDpsvnlLff6y8szVr858zv+7h8aLis1B48awyf5sL6yORfUkuMCQNjppi2E6d0jg8M8GokoMNWWSnmxiq5DczZGBkyrdLX6LwRYgrvf6xfPOmcmvn4gtYwBsy6X9p73Mj//2KvfiWwj373Ngq13+6d3x8b93O4eN9+9ffzg9/MvRn7rVTC4ZoeFv4KglEtTv7WoifoVvU+Jxi/0+BRy3QKAlENF99M+qvxHMf2ZcuxwAhgBogqOlFCaBQjw6KiuhhgZpblGWDmHtUNY2PddI6qu0soCLMsh0Hp9JE9MsMgOHxqi4oM4ajvPLvbQxA0xnw7wyIq3hiiquqJDKMinJILwUNJkDZ9LwFAmOgJHHe4F7Md9dYPMO4LyZDg/mo6M1kN+BpLUoj/MOQM5bgOtaZP3S3trFmPMiuHEp5Di3YTnjsVwIrN6E3Q/2vYPk5ii8PrC3fHtj/osl46+thl85Lb/1rp71OM45bGeXrJ84lj5ZW/r1kvUXnsXf+iyf7Fm/oFdv5lyPuNX7acfjsm+0EZotbk0WvdOlrZmMa4y0D+KrT/fXnxbD/Bao6EL6Pmg8gud6cV0lJCwGZsphfhOR1mFJPjZdjPNqsKAOCZrQbBsRFEMTxeBkMcLLh2dKcUEdlVYRYZOSNSlZEZwgfQ9J74OU/2kuNFyOjDVBYQ9THBKaY0J/hBk6oLoFKPuI7gTRnyKGN5D+Nah+DSpPIVUfkDRCs4dR8REg6gE/S0Lj+fBIOjy0H3i8t3kr6L7hXr7gtV+kg0/r+GwZmGI9g4xnNOOfqkaFjbikHBUWIvzU7hS8+YyLTKRjU2x4Mh2bScdn0+DMfnDYuXTlK9kvNOpfWud/u7L8ud12xmb70mq7OG+9tLJ8zbZ4eclyyW2/EXM/3PcO5nZnepjqPW19zyy+phZ6uLGDG2qgKh8UZvyzXGg6ExOmInzOz+ug+sOEKRsVF1FVKWXIv9ByWSXCCCFCTFPqNKUnEVkpYy1lrBSpCcZm3OFhR/SxJXZnHrjhxge95LMYOwGy07HE9B4+E0L5njhvIzrliU34oVGQmGGS8jyjL9GGSkJfRLUl2pRO6uikmk6qc2lTuWCjGK0P4M9vPZc7n4jWn0ys3h9cvPVP1mv35y/+vexX17/67Yj2ypJnwh9RBEPyfdCUxWwMtpIi1yl8GQLNkZg+EFWHQA2WWGCpb7KML0P7Wy/R7ndEmtrax+wgaPKBCusWX78+5Ylqmk2wXo/nCtH0i5jbb3buWv3QZraS7ParP73rn/77nz7898P3x81ePdMqUo08WqB3WHgVjy4AO+rAlsK7IXZv8F2bIu+OJhSxwajro0nTJ18tnptfvx4KPcOgWRqVQKEZYGsqC2n6nP2IW+kzi72E9ZC1dZmFRlJfZ9RlSpKGp+jYcMT3AA4OYqGxDCJussZeeq7N6QowPxvjVVBJBZdWMHmNUtZoeYkQ5fHZKiWuMeIiw2fIcRh8CobvATt3AM9NOHCPCj0pxqfahLSFSwvAJBl4DG3dhb23YxtXI+5LsY1LIecFz9JZj+18YPU66Lqzt3onZn8Erw/E1u75Fi845j5dMv3OvfiJx37Gbf9izXbWvvipw/Y7h+1X9sVfOs2/3rZ+Bi5foldvsfZ71OLdvGuwHxd2AXFhc5RzDLGrg9jiQ3D+Hr76OOV5xnmGC4HZWljWBfTHiLkP6hthaTk4W40Km4i0DAg4/0g2NFFHhE1EVAVnWjC/FJ4shKdKAC8Xms5HeQVwNhubLiL8Ms7PxEb3tx5gnnu071E2+LwUG2+hkh6pOiK1x6ThiDD2YF0X0h5hxteo8RQzvkGNP6L6N7D2GFL24rJ2VNyNivqApB8X9eKiTlxQj88UgfFMZHh/9xG0dde/dsXvuEoFBiowrwbyi5HpjG8i55+qRAQ/k5kNzpDekcjqI8D1hA1OZGL8dHQW9A75HHe8a7dXrBfNc5/YrJ85V8953RcDnut+7+0N162V5esO29W1pWvu1ZuRzUfU7nA6NF6OCo9wzY/Uwjtm8U3S2sUMNUCZ9Qu4zcmUZyoPSKuYtk7o67DulLO/PVgtQsoCpk6RCo6V4ylRCJsMglM4LqcJJRDjswltjpujE9pIXBCApvzY+AY+uIY+9KBDAWIEYWfYF1L2hYJk5HuI0B2ccu1OukIjvugIhPHSjLrMmiqUoYhrSpiuys5lWQNFq0hSwTG6dGoOJpSOwLjePSiwPxyz3n5mufn75dsT63d/77j9z/PXJuZvSOfvu7x8GDZRuDWXcBQJR5H+JptY34cskYguFNHuxXUQZqaZlTTjKRzslg4ivQrVfUXShDsUNrh8Mh+o2IgqXSHlHrpQ/j6cyfsRyh2CXDHEA+A7OBsv1dKtdvnkpHn858qH/+ietAu5FMgRgfpBrJWJ5jAXHDCEPHLfpmTbKw74Jf6AMhicg+FvqETgI5XzhmPnSSQ0RoP8FCLPwAokMAt6p/Kw+jC1fMQt92nzz41tn12o07oGq2lwyhzGo6LPI757dGw0i/DrtKadNNRJVT0hK6GCPMQrY8ISKixgwiolqyfllYSkRAianLSeEhc5Ppcc2ycHYeQhANyNRW5FgjfA4B0aGCon+G1WXiaFDDCCBB/DgXsR782A+2LIfcG//qV3+Yx3+Qv/6sU953X33IWNuWsx+4OI427QfsW/etm3eml79ax3+YzbdmbN9vmK9VO75bcOy68c1o898595zWeC5nPU6p3S5vOab7wT4r1FFb2YuOAa5pafZNeG6OXH0PwtfPkeu/GE2XiW3Zqo7op6cd0bwvIaM3XjqkZM2gTFXVReis5S3qFMcLyJiZuYuBybqcSn8+GxYmy6AvJz0al0ZDIDTLHhMQ4Yz0BTXHQY33mIbN2n/Y+z4eEKNNVNyPu06jCh65PGY3LuEDX0EeMbwnKKz51ipjf43I/43GtY343J2xFpN644BFV9UH4EK19jqlNSdUwqe7i0jUkykWHcez9ov7Jtvwy67jD+oUJ0uhoXFnZnMr6Jgn+6EuKXQrPpncn9jed7Sw9Cy49o30QuJkpFeF77XaP2rHXuvM1y3mb7cmX1vN3+hXP9QmTnLrT7xOu8tWS+ZDNfcC5dC7ruU7vDBYhXjs824pIjXHNCmE4T5j5mqEZkWd8s456gnKPpzakKrO8ytuMD5yG7+v6l9/1LbwU3cbASR0UYKYiQE+74s43IcwgWYbDEtzsOgxI2oWUoHYLJkIQU58QAy/PTIwA5DRLT+5QgnVLmX+hTrA6GZdu7PO/ulDc4HopNUIS4lDI1DiyVhD4Lysu4tp5ayHMGhlbThJJNaLmkCcFUIUS2FJj4w/KDh388/w+yzwbmLk077vLW78idA0tbk47NqWBAypG2EutupLxNZrN94CtRTjJuBkM6IGbAMSuVXOVSrhTtLabD1ZfgYTXZ+A4GAZtlnS+3PLMHZoOIIQjPOYNqd1i7ETViyS0uA+YLVLGSav7p1fHRn14f/enNUbPfzP3Yf9WtJFncDwXtKeSbBhcsYN9gu3poRxPxq3wb/OCOJBY1RCJWDPPlMuhHS6EhjJDkSU0N1+UhbQU3ZQAVFRQWQFWTNHRIYz9hesPaTrnFDm2ok6omq2pw8iI5m0bGShSvc6DqHxj67FwnoavhinpCWiEEOXSqiPOz8HQanCzi/DIpLGCzeXi6SM6m8AkSew7hAwD+KILdiaA395AbMfhGMHJ9L3KXQUcKSUGOmqXhMTjyFI8+hUMPwMDtva2r265zHvvnPscXIffF0PqVNfNZr+VqxHEvZL8JOG/iOw+xnYch5wWf/azbdmbNdtax+NmK+Xcr879xWX/ns57zzn0ZMl9JuweOIMk7TPMGVr6BlUdRcdE1nFsbqG+Nlzafk0t3sOWbjPNuLjBaDs40wuI+pPkxYXlLLvQQdQdSdiBpB5FVIjNp/2gpOtPEJA1UVI7z8uGx7O5YOc6rY+J8nJcBptLgNBMdZYCxFDTJAiN0aIgJP0tFhgvx8RrGa1GKLqXuJDRdwtAnTIfY3CFqOk1Y35LWU3zhDWH+iV48xee6cVUPVL9NmE8T5iNcd4hpT0jdKWU4ITXHhPp1QttEBengM8R9L7J2M7J2E9t8UojwWpiyEhFkfBNpz1h+Z6oYmCnszqR3JsnN4X33GLs1nQkKMhFBbHNoxXLFYbvqWLrsWL1oXz5vMn82bzkT2LwV23noWr7+tfrzJcM5j+06uPk4HZusY6I6ImpBsmNCe4gbuoi2EpamPNOMe4LdmMxt8WphaSexfHzgOs54jg/cP2Z9P32302CWaUSLoKIIMu1Dh13xAU/sGQDOgpBwOzgBxIQkpqQTWiapTaWNbEaFcUIoOYMTgn2MT6LCFKXMMwYGV0dCgu2tGffWhG9nDIzNpBPKZtraSS/XEqZ8XF5AlDVuLsvoaEJBYwqO1GYZM0OZqNSCKyL4w+Kdf/jq07+f/eUt2Sf/bDg3bLpgcg6GImIwIiNjmixpK9ArDc519GLr8MVWnXakYAsFzlGIlUs6Utw3DOukiW/yqd164dtOhSi/iGwHDV/NP/v9H++sBIQktw4Qy6rVmRHNY+26MP0y3m5lS5VMp1199+b4w3//bx/+4+TdvzWbJbpZwBovvi0lg3TcyURXSuhmEXWlYoup2CIFLnhc/IBPSmErGOyEEV8hS31kD45wlKaaMNVhQxkytClbM7FQgjUVVFPHtW1Md5Q0veNsJ8m5TkLTolQtTlWlxAV8poBPHRc0P1UsbzLmI8rYxfW9hLaf0jRoUZ6YKuBTaWiUBZ5nkck8Np2GxllghINHGXSExJ7DxGAQve8Br3nhywH8Wgi95o1c9uxeiQGPGHIinZih0XEs/jyFT6SIcQ55jkUfBDYvbTjOeNe/CLkvBJ2XAo4rsOcRvTMIue8im3ep3SfYzuOQ85J3+Qun9Yxr8azT+oVz/nOX5YzP9mXAehVcvZfyPGuG+aeo5i2iO4U0P8K6k5i86BrOOp7WfSOVrSF69da+4wa3ca8cGatFp6qRmXZMcoLpTkhDD9V0EEUTFNcBfjk8XYnMNGBRC5XUYGEdEWZ3xzKB0QrIb+CSAszPQLwMNMMAYyw0kYanUtBkBpoqorwSwishvCouaJCKZkLZxNVtTN8nzH3U1EPmTnDrG9p2QlpOacs7bvkkYW7GVV1E9yNre02ZjwjjIW44Jg1HhL6HqDuQ/BBWtjFJPjxGbT2G3Lf3HDeQjcfF6Gwb15TD/PTWeGpzNL8zVQ7O1mKiSkxUCM2m/bOcb4bz84qgNBPjg77BPc8jz/pNt/O6bfmC1vSpcf6Mb/M2HBzc23jonL/iW7oRcz2gAs8LEK9FSlu4tIMojkhtF9d3cX09psjt8NPembxf0Iwr3yQtb7Ke07z36IWnx7mOD9xv8jv9/GaGMmOEbDs+5ooP+KBnQWgMAGchWARCQgyW7aMKmlJn03PFvIXmlBDBRyg+DPH2ERGDyTOUNkcagZDY4XhuXRq0LA84Xc9ioeksrmpy1i5nbybmyog6DytrSVOKVJGwlMEUHK7J0gssPQdgyvnN5yNfX74h/s1l/se3xL8ZkH3+TH52fvVxLCjYj8gzkL5EWfPkQoOxn+Q3+2l3lVrOYdYUtsgR9iz7TTrlJhMrCLyc4/yt0redClrKhEMxk8L6fEx92xWWpl96cdY9v6mYNo44g3PlGl14xUA0WKrm3r89+fDTj385PTxqFqoZuJKKNNLxZjpapQNlcqtJByrEZh5ez6OuLOGI+FVYfK6UDmSZMJ2IlgvMR9aNIRpRl1BTHTTV8YXD1Eo3ZWvQpmbS1Ero2rjmiDL+Jb38hjMfM/qjA/3RC22dERfwqRI5c1rQv8ubj2nDMW46IeaOadPJga5Bi8oJXjnBy8CjLPAsA49msfEUPMKCwylkLEtN5VP8VHoKwB+7Ylfd8UtB4oYXvOQKnXPtXtwD7lPkGJeY4fAZFp3KJqZz1EyWmMCjj4Oeq27H2bXlz1zLn287L4LeO+noSDE+xe4+xb33wM07gdXr/uXzG4vnnPNnnZYvXZYvXZYvt20X9+zXqc3Bwu5UIybuQ6oTRH8CaI5j6h9hw2FYll8bzq0NtALjzd3h9MZ92nmT2byTDw5WYqOV8EQlPNUGJX1c2UJldUhcis7kQ5PF4GQd4HdRaRsW1yFhB5eVw9P50GQVFDVxeQEUpOLTKWiaio6lkKkMwssgvBIhblDyOiGtoKI6KakRygahqePaFq7vkeYObmrB+i5mOmGs/cRcnzYfJhdqsJrzz6b9/GpcWQNVTUTTI41HtPmImutj2p+dhBosyIZHaf9jZPNu0HGD3Bosg8I6rGA84/TmWNo7WQjMVsKiZlxeB+XFsJDZmqA8Y7RvogiJC7CQDI1C/sGA+65j6bLW8JlC+zuz5Zxv4z4NTGRhHhMaQ7xPqcDzVGS8APFqhLiJSRqQrIOp2pjumDYfJcwdWFuJyitReZcwvM86Tr/bPHzpbKdWW8xKg7Idpl0npa3ygR0nVJ7oqDPy1I8Mx+AJGOLvo1IqoWJIFYnJSVJReGEu5s1kQgJAMxjOx1ERSyo5QsVi2n1Q5XaOf21+aLY+WXE893jG4fBsDtXUqIUmbWuQphquqxCGVsqSJTUsIs8RmhyhS5MGGtf7ogLF8r1Hys+v/+Fvbwg+HpSfEZiuaa33Xc5hYGd2f1eSgww12lZMLNSTtsMX603WUcAWMshCClvk8MUs68pybgRbjITnMklP5xXUKETzB1swarG4pr+yPvXFVaVKuPAqDlMei08bQJ25EhHCd5f8DjpLvXv7/7x7c3Ly52ajxFVfQO0C2PsObhxE6kywn4VOCmiLC1fondbBXonxc+h6LumuZiOVF3CzxJ12qh8trQ7Au2IuqChG9BXc3EnZ2wfWBmdspQwtWtvElYcJ3YcXy3/JWE5TptOM4XXe0M0oa0lBLck/zGgOWU0X0b4hLO8o22vKdMhqmklxm5U2WFEBn+TAoTT6LEeMpLGRNDaSJ6dz1Ew+xc+/4JPsaBC9v43cjFB3A/AVb+zSduw6CD9myPF0YiZHzOaI2Sw+mcEmWGgEDz8Bdu4EN69vrJ2zL37qXTsf2bhJBQbS0RF29wmwcWPbfmnDetFjOeeyfOmc/2Jt7su1uS8985cCizci9ju53ZlKWFQLS1sRxRGkOwX1b+L6H2FDd1daWB8rOIc64al2dDznfUC6bmLr16mt2/nIYDk6XAgOV2MzDVhUjs+mgmPF2EwuPJkPjFfC0x1Y3EUkXURySCjasLQWEzRheRNXFkBRBuBxwNR+eCSD8HIYP4+JqwlFO6lrJpQ1XNahFA1C10oYmqShS5oPaWuHmGvAuiai7SaMTVLfoo0t2piLS2HPGOgaprem8yFRDVb1KNMRs3CYNPcTph6h62PaCszPA2Op6DPMdz/mvpWNjLUIRRWUwetD5OZoNsArh4S1qKSFqFqIqhgVsf4xamuY9I6kI7xUdJraHSFDI/DOU9fyVa3mM43hjG3pist5ez8yVk5Iy5iIDY2moxOZ2GQOnKniohoqqsTFNUjagNX9hOkoYe5ihiaircHqBqE75CxV1lRM6ouUsUov5CF9jbK+fuVr5B1kQrcdn3LHBgPwMABNICCfxhQcpeEoNYXL9wlpJqXLZ4wUIQbj0/uIgGO0Oc7IEhoEUIQCQqt9yGh97PJMRYJiKCKmQXkO1VRwc4201EhzLWGoJxZ6L1YKlDFHaBqsuZycYzEtAspdwXHV6t3BP565Jf7VP0p+M2u8anc99/t4MZ+A3FVwQVUBWijhtjxuqTLLLWalSC6ycT0DGjl0gSNthYPNwsEmAlsiQX2W/qZV2Msz37CJFYpe3I7KHP4ZJGmtVCOlyrfFV9g27Agg3+Cp2FJgRe7QgUnwzenhm9f9o3+tlwtk4WCvltmrHuwV6J16au9NlXr/A3PyiuwXsF4BK3PRPL2TY3eKqWA1ix7/8PLDUfMju+1J0DkRWZukNsVcTFGhTFXWVGH1dVZXJ1VNXHlMG/5ysPDTgfmE0fYZ1dEL7eFLVScta6XEPU7ZwuQtQPmeWvnAOl+Tc8es9jCjOcyoegeyMjWVggZTyECGeJYhhtPkSDExw8GjFDLCJae41DTJDkP0Eyj5CErcA7C7IPIAxwYZcjxNTOeI2SIpyBNTaWSMiT+ngWcs+JyJD8b8dzac571r5zfsF/2O69Dmfdx7L7h2eWPxnHfp4sb8ebflgmv+vMN0zmE6t2G+7LfeiCzdozfHsj5e3scv7wjbYdURoH8LGt6j5sOQsugcz68/a+6O14PDac89fP065LgEui5lw4+LsWeZ3cF8eKQEzHC7IzHnwzLELwG87O54ITDejAsOEekhLj8mlceEtg3L26iyQ2iLkDgD8FLx6f3QaBadzWPCMiFrUpoOY2wm1C1CdcjoWgljh55rJ8y9pPWIW+4lFuqIpgarq7imRmibSVOLMxdxNRWcJf3TXFhQiEqamLbHmLvJuVbC0Cb0bVzTRtVZYCIVGWYiA4DnZmj9Wioy2sBkmd1p2PWM9U2Wo+IqIK2D8j6p71OGOqwoQ/xMeGLfN8zsjrPBCSY0lo1Pp4FxwPd0yXJpyXbF7brrcNzc2xnIIvwMxMvEJrPAVAaYykO8Ci6qYuIyKK7ExTVQWQOV1ZiiGlM0EW0N05YQZRFV0fAsiQhSmKJCGdJxRREznFa2OqVvaMoUgYXb4EgQHgbiYz+TyZAallJQhBTHJSyjSKfUFCFGQB6FCjMpQy49xxA6CJAHd4VWx3PL6rNQVLqPaClYw0KKLKItoaYaaWlQlmZyroKbO+mVQsJQSBi6GVudWWAgRSwsNLufKOy3J+cuDqg/f6b5QrN83+ebie0IqZAuE5srAotlcDkDWlPQQplaqSZWMpgZj6jCK8uxAAAgAElEQVT2AT2LLWTolfKLrWLaA0FzcMyUZ76pZ/0UYkUgU5pbxhJGAFNHcCNMrQKEs1giyIMI8wLMlmh31MOzSvyo//CodXzcPfxzvfiSIAkPAtrgiI1BXN3Ctx86uQ+9/Id29k2Na2bhDLXH4Fsc6Smm9up5ol1kjn/IfrS9NrkfkDIhBe2XslFpFtGWSF01qauxynZK3ef0R8zCh5T1NKkvYyIGnuYSM8UDSZkTZvHJAi4qIdJKTPaGWnzPrfYJUz9pbNHaLqOuEuICPpPFJxnoOQkN5sjJKidgE5NYbBgPjhQRUTulqWekmYMJkhtg6EGOfFZMzJRJcQae5cCpLDJZQCY4bDKDTBcwQQGbzRFT+cRUGhnbDzz1uC64Vr9w27+IbFyFPLe27Zdd8+e3l6+7rVdd1kvuxYsbtksb1otO84Wf4UTs92nns7RnorwjbEcUhxHl66jsXVxxHJDUN3j1LUErKC15J/eX7kcWr4bsl4NrV/e3HuSBsQIwmQmP06HnoO9hZOtuNjKWDg6nPEMF70gvJj6BVf24sh2THYKadlzVxnSNhD4LS5nYNAdM5cCZIiEvE6oaoW0ljN2EqUfNtSlTK2HoUAstcqEM6SqoocvYmgljEVaUEHkJkVZxRYvWHnLmPjvXSugamKqOKuuo8piZO04uHJJzLVRXg1UVRJGK8GHvU2jn0fb6Vffqedfyl3uum7n4dD42nfXNZnb41biyhevqqLJNqnsJbQOW1DFRGZrl/MP4xhN6aygdHM5HxyvQFBQYAnaHwPAwBoyD4eHtjcd73gEWmClC/CouqqHCKjLbIsXthKyCSoqQsAjKizFpKSorRuSlmLKKaQu4hoYke+AEEB+jsdk8JSkQ8jKl67xwnLzayaQWIViEodMUzqNQHo1KOEJZSpmKSQONyklMxiZVNCPdJ/n7+AyGTtEpHUgrgwnFSpwvdT4W2O5rHI+Njqcu/1QhZeUgLRNV1pO2JmfrpOwN2lxA9VXSWES1jeRCN2NLJzQ4IkVQqWN3VLx0a9h84ffWy783X+IZri3Zh6CAOBO1VDHXYXK3x+x2kr4a5SoQthRiwkA9GNXuQwvphCNLO0spT/nAm044ONTWfhmocJssZs1y9tTB4j6jSefNe4R8yScOgs76D6leP9s/Sjf+NR2ignK7zBNzlmps//DV0Z8LhZcQiblCfmMkZMGBlV4e/dDOffjXl3/5U6b1HZ6iAjHAiaM+jtzLJKJF9ttGnmoUqY+wHWkFs7ZJe4tYziO6HKzNoZoKrW2nNf0X2qMD/WHKdMLom5gkA0yx0ESKnM7SsxlyKoVPZFB+BhQWI5LThPUnxnFMLJxyi68ziz9mLQ1SloenM8gkB4+y2Gg+OVPjRGVWnidEZVTWZfTHL+baaVWBm+GYEYoYzCcmWilZh1UXcVEWni2ivBIynYYnUvGpbHw6A02lkLE0OcYhI8juU/f6OcfS5yvWTz3LX2zbL6yZz9iNn3kWL/mWrnkWr3gWr/nttyKOe3vLd/zW6775q6H5Gz/75RnPdC0gbu6IGluzbR/vyC/t+EStoLQZkmbcI/DinYD18rbtgm/xfGTtejo4XEeEFZifiozuB55SkcFcfLoc51UiM40I7xCSnaDqQ1jdAdV9SNOOq9qotoXrCpA0E+MXYH4FFzWS2jqta1KGVsLYpkz//xhrqL6GGvNxdQ5Q1Ym5ZsJYRFV5RFZNaBpJfSc1d5S2HB9Yeoypk9A1cXUnoXvNLfxMZhvT12BVEZQygeng2t091+0N+8WfVeHt1Sv07jCzO8puzWQC/CqkrGGaPCAuAuIyKC5E+KngWDYyyfiHkY3H9M6zfGyqBE4XgEkkOAwGn5PxyTQuoOIzMd8Q6B0ig+MlVNiiFO2koknJ2klFi1LUcFkZlZVRVRGU12B1EzXUUH2Z1BUSuhSpwshZBJthcH4mIUpjohyhbmaWj19tlV44SELNEBI2IWRwMYvLUqSqlJ7LsVomIacoKZdSsGk5y0lZVszSQpxVAoxsA+NLPY8G5i79fv4qz3rj95rzds9oIWWtJBdLhLmSsJQIc4u1tRhLHtFUE6Yyrq/T5ia3kMZVOCLFMNlacOwPtusPNZ/9o/rTR+rPeYZrDucoElI06c3jdPhdAf7pO/xt4dujF3tVxp3GrSRs2YcsGWq9mvHXXgQaL4ONF/5C0lWgnbUDLwNbI7tKBp8rZlczWWvqpTkISzeCqhDkyubReotudCg6HzEHLJNzk/awtVRnDo9fnRyXG9+TbHJre0e/7Z8DIsuNNPT2h9RplT18RZXSEEsH93Ffmok2XhLtQrL5kqpmsVIW/oiNqLrJlWPumx/Tvia9XERMeUhfS+j7LwwnL/WHGU2P1XQZdRHip6ITeZRfSgjzJC9NTGfpmQIpzoD8UlT6jrF/yHo/HHzzIev+8N3mh1euQ1pbhPhZmJdBpjPYVIkVNbPK3gtz98B0lLa8yS6/frnQZJU5YipFjFPxoXKCf/LCcJIyVjFpERJWYH4V5hXhmQIwnY9Np4FxBhxm8GEaeYaEnmy7rrjt59Ysnzotn67Nf2JWf/y18m9thk+D9mt+27WA9XbM/gRbf4asDQC2O/65S8HFO8DqY2z9Gbc5WfGLajvCmmem4Znq+8TdXWkvqqwFxZzzObx8L7J6I+C4um29EFq+ltp93qdVh0l1MT6Tjo6VcV4FFXUpdY9UdRBFH9Uc4bo+pu9j+i6i7YDqPqLrItoqIC0CwgoubTDKTsrY4+a6rLmbnGtTpiZpqBP6Gq5rkKYqpmfDMjIgyoLKCqEr45oiqipTmiZr7ByYuwfmw4OFo9TCIWNqk9oebXjNLRzR5iN64Yhe6OD6Miiltsa3l2+G1m767Jc3ls47befcyxdj7ofAxmNkc4QL8iqYsoIpUxE+7Z+i/VO0b4ILTZZgQQ6YofzD6chknZA2SFkZEcYCQ6Gtwf3YVIGUpiE+FZrgQtPpCK9KyHqsps9pu7SyQykapKKGK2qEspHQ1wl9l1k4yay2ucUipc/S2iyj26cECDZDYjwam2UQfpqQV9ILne9cpQMHg2s5Qs6RYgYXc4ScSyjynIZJiqmkiOIkTEaWzipzWVUmLU8x4v2UDOYkHmz6j75Hs45bUvf9r5z3fm/60r7xLMeYW+mVNrdSSVgKmKnJ2VqstYBqG8mFZnKhnbI0uYUUpvx5Z64EhqctV/5B9ndXv/rbh3/8VL54L7grTKMLxy+Cbwvgh+/3P/zAfPiBefc90c6GC5QrR3vySW8rHz96BbeykVpqp8J6MsRKMbGaJ+xQSON1z8bC8jRjTadtOK0HEDUAWwPx1Y3IYgBfxV9srQDmh+rBf/jq7h89isJ/Tb5+Wz8+KRdLBMvsBkLW7V2bP7jMJXbrWayexYsHEEOHKTqYS0P178jT/5p913x5WGJKKTDLhD9iY6oqYWmRq6cHO8fpQItw1VBbJ7l4klk4yug7rKqVVNZpVQEWFgF+C5P3KGUjIS0lxGVOWmcVZUzURtUfXrg+fL/3oRT+UAp8qAU/fO9+zZiaqKyCivKoII8Lmgfqw5L5+KXt8MXC4UvzUX6undbkSR4DDu/HnzHR0UZC+jZjes0Z66i0CosbqLgJCdqIqAmI6lFBMTadij3nkOcc8pyKDcH+B6D3Tmj9it9xfsN2xqL72Kj6pdXwm+3F89vWK0HL/ZhlAFx8Di0+BRZvhyxXfbbbe/aHMcdT3DmS9wsaQUk7IOnuivs70uaOuOIXZTzT+OpTwHYnsnorsHodcd7e33hQjEydHhjeHMzVYGEVEfSSyhalOeZMh7SxjWo7mO4wYTqi5n7+x3QR9TGqP4Z1rai0EhPVCXkjqe6kjP2UqZ8y97iFFmUq49ocrE7HFeWEkYvLYT8P9vPSoKxM6kqENo8qc4S6whgb3FyTNfa4uZO09SQ116W0h4zpmDMfUnMnjPU1u9glDGVAsr8xEli6GVu7E1y75rVf9C5f8qxe9Tlue1dvxzaHmMhsFVdVcVUmJiZ9U5hnHN4YTUd4FVRSRER0ZJyNTeYRUQmXFjFJ0PfM536C7I5nIVE6wsuEZsqguApKGpisn9Qe0doOrmghihaiqKPyJq5u03NtduH45frr4jfNtC2X1KdoDZvUwPgMCE9i6DSF8nBohkLEWVpbTM1lEwv7oIxBhCwqYHBhKiFhE0IuKYASEyQnoA5ETFaaKSgLeU36QMZRQpaT7DOiGDnrQyc30CkvPrMBjS2FBtw7owyuriQtTWaxTC4USFOTs5UJQwHXNFlzm13opqwNZo5DFTgkiQB8i3dgcv7CLfnHt+Qf/954fsk7SuOGGuc8yYbfFqH33xPva/RffmDeVeleHqpwu9WDaDMLndaok+/3K+xOGltJIzYmPpdGF1jIxIBGOKwGwnKKmEuxVoTQ70U1McjijS78cV309ZY0wq07YfMj7eMbsrvaHXXtz5mf/tJr/7mEs3GcCu8TfgTzR+Kb+8Ru9uDbQobIpjGKiXNptF07OGnl33fK75v5oyJTS4N5NvgRCynSoLaAmI8zOz+9/PY1t3dMb71Jbb7N2A9TulZS0WCUFVJZxeRNWPlz2d1PqBuUrMZIuyl5h5K+ZfUfCusfilsfXro/5Dc//BD8UFw5pg0tTNkiVM2Eus1ojrLmN6+WT/KL3YyxnlGWMuIMx6PIEQQaQoCBPDTbJpWnKdNRUlfDZTVc0iHlHVTci0u6UUkvJm0A/DwwloNHC8hEDprIg1OZ2Cjtf4R4bkXWLzktny6ZfrNm+dRp+nzbci1ieRQ0PN3WPg4aH4KL97C1eyHHA9A9iG+OsFvTtajsENK9hg1vYcO7uKm5K814ZvZdw7Glh0HrzcDS9e3lq+nAUCk2WYeEr7m519xcC1P2EupjVttMqPtJY4c0tFBdPzF3wlgOk+YebegkNB1Mc4hpj2FdB5DXQXmdUNYodZPRtVh9mzM1GUMloctjag5W0qASj0u9m6OOtSd7OxMsJMtgqiyiTIGyFKbMU7py0lil9C3WeJQ2H6fNPdZwfGA55MxNUv/zsdpENMWoiNwc3Vu9A6zfDy7fcJrP+exXYxv39zYe7W0+xYMT6bigjCrKqKIQl6V3+fTW9P7mRCEmqmLyEi5PgbNkdBLZHd8PTnOAMLD13OcewAKThbgkG+bnQvwyIClE+DVI2sXVh5j2EFYfIZpDTNtG1U1UVUsYmqy5k12pHyxmaANHadJJLUMrcUKAo7P7GJ/E+Eh8BovzaVTG4goOUe3H+Qw0y6AzLDabpkU0OYXjIzF8eJ/l7adm9zkBl5VlXyhTjJhNCLKcOM1KyIQAwqYhgo8xQpwVIUk+AApYXFEiddWEKY9pc4SuSBlToCKNKkukroxry7g2j6oYUIrERb7dCaP7wb+Yz/2j6uP7f/w1z3LJ5Z9KJyx1zn38IvjmO/DtK+ztK+LNq/3T7+mjItHJftvMQv3v8B/r3HEFz5FuElhg4AUWNWExNRZWZhPWWtqZpZYLnKP23U4+uwmBZn/E4ImZ9F6J3MP3kAsuzCR2TgscgkDCe/jvtdPTduWHlySH5/JM6btUJkuwqW/zebL66qD66iBfSHLZ/Uot87pfff9vjQ/9+rt6/uQV1y+R1RfRj2hIysTkJczyJh/48N3+X17APx1E3h/svDtYOU7p2oyyySoblLJLaQ8TuhNSd5zQ9GllOympJQXdA0kvJf0xq3vL6XqotBkXdBDJ+/Tc67Shm1C0ccVR0nCasrx7af/Ld44f8yuvs9bmgSbLztLsGM49x+ihfXKYJEaLmOz/qxMS0gImKJPCFi3tEOJmmN8KibtRWScuLsd5RXiqhPBKIK+BS8rQbGp3CNm4HXJcclo+tRl/vWL+nXP+bHD5FrA8sGce8uueAJYB2v08ExjlApOFmKAMSmugskcYjnHTIaTrA7rjmK7gFSCO4eDSQ+/cTa/pSmDxRmD1ZiEy3kBFdVjSSWi6lL5DaE9T5teMqY4q26S2TRg6pPGYtZ5w1n7S2Ka1bVrdIlQdTNNDNW1I3URVTVJbTajqjLbOaGtJTZlUZ3FVClOyhI4l9TFEanY8/Mp0dX75ntfzPBaY3I8KubiUiss4RJXF1XlcVSJUdVrTTupaSXWHMTYpXRFWlGBVBVGX4/IqKCuGhfveQdwzEFi6add+EVi9nY5NpeOzGVCYRyRFTFGCZEVAXI0ryjFZPijM7QrqkKqOq6sJVR4T46FJ3/oTt/3R3saI3zPs33i+H5ipgIoaJK/FZaWYOLU7U4jwm7Cyj+iOUf0bwvyanOvi+iaiKWDqHKHLkXoKVSKQmMIVaUbN0UqalNC4mCWlDCHBQQEOCn4mk4GlJDibwvgswmPgGQ6fxZFhEHwCIiM4NQWSkxFsbJ/iU7RgH52hUF7lQNl8qcvREiAyEokM7+M8hhGxnCTLqYucvpky15OmPKZOYcoUpqTjYg6V5zBlFpTl4lIuKqYAMQ5JvIFx7dqd6bkv/0n1d/+k+rt/MXxpdz0n44YSud6kvD0ucPQi2n8JHuXhk1fkm2ry9Hu6V8COK8S7JntcQdPEKh43MpgpRc6FdgTbnhkOM7YKnvqLzXphp18Hm99HyYRjbUdh3hHPro8+sTyadAx/5Zm2ROQecCX1HdzpFYrfZ8rf55rNV6eHfzruNYqVVPWHbK9X6f+52myWCqWDzHdst1d7ffSn96977/vNtz8UXldSx98nK9noR2SEz4TFrYTtfSHw4fv9DwX4L+nwe879U2rx5EDTZsWVJL+elLcZZZdVdWlFKyGsJmYKiZE8/axIjZYS440kLxsfRrbuxzZux7x3WXC4Qsw2KcnrtOH9C9uHzOqHrPND1vnuYOVNytZglGxiEqEGIeYpzg2z3EyWE+YxaR4RlTFhEednsKkcMVOhBK2EsBYT1SLiZkzRhpRVRFiAZ7Ox6dTuRC7ESwcm8I0nMcfN4PIl5/znNuOvl0y/cVnPBVZvx+xPfk6zrHs6F+IXo7PFqKCJKjqEtoWp26i2GVeVApLc5mzWNYvZR/zWR3bd1Xn5mTXd+dDSLWD9bj463kBFRYBfQxQtXNchDT9l7afsQofQHlJzR/TCYXLhiLG0KWMzoe4y2i6jbSaULULVIjRNTNsk9U1KVyPUtaSmQqtLCWWWUHConELlJKGlEsa9hELjfDim+3JS86XccNm++hDanWEhBQnImbiShRQpUMaBojQkzKGiIiEtE6oSrkyD0hykKELKQlzWwtRtXJMDBNnwdMzxcEl9Dlx/3Eyo66SqTKjKhKqKq4qAuBgWtiFlD9U148pmXNmENA1UU0YVKUgIBEYdSw9sc7ddS0+A3emYdxz3TRYjki6u75HGGqJIh/npqKAGq9qIrofqj3BznzA1UG0ZVWURNRWXYaAUBiUAKNxHpSwpZzApg0lTpCLPaPOMnsUVDCZP48oMoWIRWQqXlZLKDC4lAR4Nz+LxUSg+gCNTdIIPoZMxaAzBZuD/l6V3bU7jTte981We2rVqPbv2s9aumTWpTCaVTGYqp+042Umc8iHbsb1s2WUdlk4jCcIx0BBORkjWyZYsW4pkHSwQIOime/pI0013datbYAgEAoEFgQGjQUsayXJ86ueFd9X9Cf51Xy/+V/2u60YHQoFuLNyfEy3lhDMVM2HBPiTYSyKDbEwjbZtyDx3lHXdDHitz7hRtFwmARQwcouNxg0xYUiiQRswiqOcRE42Zljd6gJnPBm68e9X6+lXr6/32d2/euoT6LWlsLovOF6mlKuetCpuNHfAgQz75Kf7kp3gzhbQy6NHP0d0fYZmZj6KjUcJFErYHa8OrK4M0as9Ld9LCfHr7fjEdTMk+CL897weMS32nHJ++Z/zgpPmT65OXvOwUza+l0n9NPsRZAWn8kntx+Eh5uvvksN74W669+/PRwS/tv1fqfyvkf36Y+Ulu/716dPToxT9aL/5ee1L6cf/H7cYPVErcfI3w9osBbTs+pzz0KSVSyUReCGvHzOwxP3qwDVQ4VZLszcSG0/RQllalqEER7aQjX2ORUwT6BQqeg0NnSPB8YP2L1aWP11c+Xbj/8brvFA911nij8tOckv9e2Z57Icy+FOdfCHeO4lNl2soRvTB1GWIvkUKXLGvzO5YkYZRRTYrUpGMqkR6QYwM5VlVmNUUSKESAEmKrEI4cYZCREdbfhyx1wvMd6PwV8Pa5rdkvQ/Of+WZPLE7/aXH6T3OTHy5Pf74+ecZ/8yI235PwajJhnRwYzoO6OmFtxlx1ylEnnK+UmVrRCveGmKVBaKHr7tiXU9b3V8c/o5evCN6uRLCnhOmSIVUWAcqUqxEbffnw3rE4dciPHUvTR+LtfWG6EfPkMaBAGFuCY1d0V+O2Em0t0fYi5agw7grjzBOWHGPNMdY0Y5FpE4ubSMyIEVaEciziauPC+W73h922d0ds7928dQ7aHGIjJi5i4WGrgFp4xMRBGiY8zEWGZVybIS1ZypokLFnKkcFtKdhUJqw10l4kgRxmJJavzzlOYkvX6qy7QFpTsCmLWfKYNR3S5gLaNuk8okfbmL2J2aqoo0I4cjggozoiNOxd7nxwrxNaGRJwIBpQI8u9wvpIDXe02fEiYU9G9CKizxK2IuEowvYy6ixgzhRqkVFAwm1kWI9CegIHSNJMYoYooiWhYY4wJ1hHcWeylJhKxp0SaRFwM4caZcqWibuqOxMZxslAOg7RMegQg/WKlCYRN7IxDUkMczE9Cg8GNq5Bvi6B1ooxA49rOETD4xoCHiLwoaRszexYc6KlxNnyjDXN2GQaiEbU0chIFNHKpDlPOYqUI4mYBdRMIob5+9c0Yx/12t7usv3+Pxx/UDnfuzlzEfGaM9hcAVksU6tVzlvhfXU5vPcDuv8DsZdCS9ubZcnXzIC1H4JS/E6UGCUIB4yatwK6UFAvMmOZ7VmemmTo2xy7hBLzaOxeVF6cRYDPHB+/a3z/Q9PH551n/OxENh1OykGG9Yoi+HS/ojxuHP+jfPyP8stfW88eN4/+0Wi1Sq1WqdYslKvZg/36s+eHyq8Hyt6jp9Wf9/LbxR1c4NZfSyC6HG7dFW+//HFdKW6+SPsOue+b9HgjBjQ5fZnVZGhNmhyW8T4auYpC5/3BT9c33/f63gsEPlxee8u78YF3/ZN172fLgU9m1v40df+PD/yfSnRv+6FLSd9TxJWn6Fzd72ogrjYz1qIdZdbAxbpg5gomdjHSiLSty0pGgdDT0JBADUpCb5S7SMQviXxPgh1Ok7oSbS1TzhxqScGGBKThvYPY3c7A2KWtmxcC02ehu6eRpdO++ZPLtz545YL4Fs6Glq/AK72MdyQVMuQgQx7UVXBrg3TsU559zNWCHS3CXSNGUyCQCVuzoCUdNGH3uh9MfYWtdKZRbRJTJ8CRBKiWQW0KNpVjrr3tmSc7c8fy7JE8fSzPPtmZOxBnKoQjAxtLlKW9PVqPOwusLRt35DhnKe56hQQUCXuBcGRjDpowBaARCNWyrB0hgQXfoGb+7H/c+vyc571T1re6HB9Mzl4E10eYgAHzadBNLRMx8ZiZBDVocCQKqpiIKkEBacaWZV1Z2pkmbEkEyCKWImorkkAWNWD3u7fmr0hBdTXmzBM2MaTNgMZiBGhErM2w5SDieEKOHcfG24T7VbNhKqJNIBoJ0bKgWowYBRBIIHYhYoZWBuDF7kzI0KDcJdqZIS3puFWizEnKlqIdHGykQZ2AmhM4IOEWEbcxuCWKAyRpZggdAQ/AwWvRiFqizNWHk7s/zhW3x3kSYDAji5szjLMojNce3i5uT8iERUINKcKYxvWZmCnPWLOkJY1Zs4RdxowEOBQK9dDQkICokqQ+TRtlXMvCIwKhTbHmFG8RaC1PjMgxdZrTpxg9C4/AgT440MfC2gLjakjTFX5cxMxYeHAr2D21cBaY+ugvN94Zcf/ZcevLlZU+NujKYXcKxGIt7m0K/irnLcV9NSnUegg3HiIl2ZeX1so/eEv5dTkxywpjDOdCKcvias93N89FSWdqe1bm5zhmjsBmMGQuKt6jH95biFlPOt97z/LuKcen129engc9JLleytLVPNssisePcsft0ovHu0+OW4fHjYPH9d2DX5rt6u5+Y3e/sbv/6OBo78XRwdFBW/n1v57slls/bVczlMRvvlbhnCXW2eAmDnbmD3bm98R7bWa2SXvqtKkaUxdjqnxMl6ZGZKKfxa5jka9DwS8eeD9YXX/3wcafVnx/2Ap+5At8srJ5YnbzA8/a2zNrf/KDp6qySfn5jpJafELc3gtNtCBPA3PmYH0GVWViQxx7HWYvoMJ1bkedkA0Z2SzTpig8QKCdBHU5QJ4KUF9gsUs0dZ3DBpK4JouZkxG9DKoTEVUiOCKsDSHT17ZuXtiaPAPfO4csnVmZ+Wj+5p8fzH+Cei9E/deZ0AAX1IigIY9ZK6StSlhesWwH5Og+5mpG7DXYWcZcOcReJsfK5FgFd6dCBm59KAlpSjEgSxrTsC4F6ZMRYxoGSpSrxU8eiDP7wvS+OHEgTh+I021uoozbsxFDETO14o48Yc4z1hxnz8YdJda5L0ztC1NV0lklXTnaGUX0vuDgVkSF4saV4LB9/tK/33j/9I0/n7C++aHh3/7d+u74ra+hDRUPAbTfSAcNPGwVcVsUMRARbRTRsqhGIIwSZU7QtgRpS2CWBGzOwEABsRQpW4m2J8JafnM4h1qqMXcBtyVBQwmx1hBbE7a1w9aDiOMZMXZEetqYswwBedAgB4ZlWJ0i9DKqEyMGelNFbo4IkIELaljvcA4y1EhrhbGXeCdLaBhcyxFGFjdFIR0R1tARPYsYOdTEYhYGt9CEhaUAjjIw6BAW7sTCw9GIOss7m5nbZXlSpK0sbuYIQCQsadZVlqeK2xMJ0iYjpiRqTMGGNG7MUdY8YSvg9hLlypAWFlYjYD8DDnKR4SSuy9mfm70AACAASURBVNKmNGmQMI1E6NKMORU38sRIFO5lsF6BHObwYQLqAzd74M1eMjySxIAiO1rhx3OMk0HUYLBndaNjZvGMY/4zz8KZxbVroF/Dh10ZZLYeX28JvqbgqwubNdFfl7caO6GKHCzJG7ntlYy8mEstZH+Yz2bmkg8nedG9uN7runXeH9ZGKTeKuqHIKAJPs9T3vHwfZKc8IfUp54lzY19cnb6suTvkpxZ4fqta5OtFoVGSa/+ZLBbk+t8Ke/u/lJs/1nYLjXa5fVB/8nT/6NeD9j92dw/aR4f77Xbz+B+7x3//5eCXdPtnMbkdfq0sOnIxS46y5ilHgx9vxMd34xPtuLvJABVaVaBHinFdSTTmOU2SHeKJ6xh0dsv/sc/7/pbv/eXNNwPg+97QhzPrb3+3+G/Avd/cvP+OL3iqFDO9TM0q4r2n2O1jZPqQnGjGHEl4mCd6JK6b4y8j8a+Yne5kRp98aJK2TQKtJ5B+BLkK0+f9zKde9mSIPQWSZ0isUyQHU4RWhtVCZEhGRhLgiLw5wsx2hcYv+Me/RObPw4tnF26+P+v504N7n0PrFwj/tWigjw4Mc0FNGjEXcEuZANrUaBN17KKONuKsg9ZS2FqA7XncmSNGs7g7i9oToDEJGkq0vRZ35glzFjGlYFMSMqVha4ka3eVnjrbvHG3fORCnX6muxY6VCWsO1hdQfY22lBlLgbXlOHuRc9Xi7ldIQBG2ZsOmBGgkwppQaBhB9QhmmFnr6vd8fsr2zv+2v/O/vnvzpPXNrhsfzi1cZUBzjp5Iws4E4kyT7lTMzZMWGjcyhIHGtTILJOP2LOfOxd25mCtPOcqUs067S7SzwriLlKNIORrx8SY3UcYdedhSRqz/tyEBdh7BzmPUfYSPHhKjDcSeC+sF30AiMpyldElcI0CD8Oo1371LbHAojehzsL6MGWu0pcCaM7wZwwZoShUltBiiwyI6LGLAIgYSARjczJE2PuYQWVeCc6bj1hSlk9BBFlaT4SGJMJXksRw/yiKGKKSLIgYeM8uULceN5+JjCcyWRKxZ1JpDLQXEWsYdFdxdIz0tfrLKjaVIE4uqeHhEQtRp0lBkLEXGkqNMWdpUjFuznEnAR1DwGhK+ikHXMbALCnRuea8H1q5D6z2Yd1AI67OUoxB3C5gO3Ozy+q4tr19cXL/oDXahiJqFLVLEk4Sm2tv+fXlrfye0K282xI2quF6VNqrSRuXhela4xxAukrIn5clUakqURiXZs4Vobq1cm1y6urypWvLqVjetBDab2wmJ4gpMzyxErJrFLrtfMx60zPhHA9RKOh1NJAiSDWPxCMb9dYsOwcJf6RSTKIiFWrr299LeUfPJ84Oj50f7vx7uHx/tHe4391r7h+2jv9f2f8nuFsWUjLyW5cxpWp8mDVnSXOPsZcZSY2372679bXstbiizuhpvLG+bCrw2yQ4JWCcRPhfynQxtfgj7PwqAf4aQEwHo47mNP95YfmNy5Y/+4FkJ7ytGgCNm+iV9T4ktKfGlZ/zM/o67Jpt4vosRLqPsaTh+mn/YmfhBw0naKDtCYkMo0oPiV1HuApw4vbXzqY//5AH1MYJdZMieJKVK4pokqUlT2jSqTgVVqdVh7m4nOnuBXLyMLJ5fvPnx3NiH6/Nf+u5/BW10kP5eOjDMh7QpFCjR9nLM1sKcTdjWgh27iLMO28uwo4A5s6idhwA6qINW+3x3r5HeoQrjbApjBdKew60ZxJKJWHOIs0KN7/NzT6XFFztLR9LtI+n24fbMLucpE9YMos9h+jIN1EVXjgVSMVMxbq/GnA3S1cCcpYi9DNqSYXM0oIZDKhTWbUFqz1JHt/vjz2zvfGD5/QeWN87d+PM3U18sLHUzoKXEzDSY2TIzXeGmi8JkgnUKMStLm0hcI8ZMMmNNxp2ZuCvHOPOUo0TaKqStGHMVaFcx5q5y47vidDM+VcHdhYitCtv2SM8zZuoFOXEMuw9AxxHifkKOtwl3MWxg1rq4QE8CHZLQfjbcGVr5ynvnLO3rymCaKm1qsdYWZ80w2ijWDxN9NKshaA2MaTDcSOBWBDFjmI0hrRxtl+LuFD+aFT153pFnTBlSm4mZREQr4sZUzCrg5iikjUJaFjHwpIXFzQJmFRCbAAKpiK2MjVZxdw3z1PGxGuZp0uNH0uxBYrbEOVKUIU0aUoQ+SxrLjKUat5UZS5GxVDh7gTPz+CAcuLK1+TUYuAwFroL+a6HNa6ivl/ANoBsDpHdYgowp3MKCI/77l5eWLyzfv+jbvE6gwyINJClnBh/LYlMtYeMwsXX8Q/jgYbAm3C+xC9Xtld3URiWxlGQmQwGN3z9MEEYQUfnCAyRtjPIWH6zyLF5a8g8v+3WrmxYUm83KW9Wf/sqL91cgp/5u77gfWCXn/PQKGPNFBdiLbdwNLXlpEN1h0B0mmualnxPZXx429ip7vz46fL53/OLw8PnxwbPj45cv9p8+3vv16OjXg/29WquULmf4TAJ/jSGGJVKdpvVZ2lRgjBlSnadUdQFo7zia29Yab64IxgKvz3O6LKtKkv0cfAkLfokGTxLhT2DwBBz+JBT6ZNn74fzq+4Hg2RytPdqeUPh7irCqkEsKsaJwK8rOvRc/Tu7nndF4Bxw77SU+DMROYuIFTLiOMD1ErI8mB0m8FyE7YO4r8OGpQOLkA+Gj9dhHAeQMilxikB4JG0nTunzcVKSNeURXAYFCUJf0DnJr3eRKh/fOmbtTny7d+uLBwjlorYMJDHJBjQzqs5ilRDvLMUcdtjcQxy7ubhOju+ToLjNZi42nUBsNGjCf6u701zdsJ1fvXMxR1pY4WSQcOdSaRSwF2F7GRpvU9B47dxifP+TmjsTbR+LtA3G6yboLhDkNa7K4vhQzFWJAJmZKUQYZ1aRBXRWzt2OTu/TUIXO7iDiiAW3IOxDYHFzf7J9cvqafPdcx+fFntndOOd5VzZ6+tdIZWBviw5ZqfPZ4e6nN32sIdyrCVJYbTXBOgbVECS1L6HjSJMUs6ZgjG3PkaVuBMJdwc4F25SlnMeauxMdKzFgRdxURRxG21xB7C3MdkWNPyPEnmOcQdu3Bzn3E1UQdmaCWvH8t6r3OQd0sdJ0JdcDrX20tnov6rqaRkRpl3GUszbg5RY+gSBdI9pCcCo2pQpgaIU0EaUNQK4rZMMxMExaOtsuMI8XaMjSQJrQZTJ2hjCnCmCTMCRzgYIOAm5OMNR23izQQRfQkqI2G9WzQmIZsVczTIMZ3iakmNlGGXTVi9Fiee/LDnbrkyTNAibXnKCCHmwokUKIsBRIoUpYSa09RWhLqDvgu+L1fQcErGNgVhfoYsD9DmbOUNYUCQlgvhPVyxEj7B/xLl1YXL3hXr6ChPokyZjhHgR0rsdNV9k5TWNmTNw4fenfl1Rp/r8LPN+Wlgx82dn9YLW3P8aiFI8w8bV5avXJz9rQv1EtzFlawbWE6Xp4k4xNb8ChB3MnKwWIKhJGZ2VWjfqZndM24gs5Gd8Lyj7T0AwvxCLzDCpVc6lFVqv0s1/KFv5d3jx/tP2vvHj+q/6PWetxqHx+0jx/v//rsWHl5pDw7en58dNDa+6XQLCZqBfE1COrk8GGZ0iRj+lxcm4kNZZnhsqivSfYKby0wxhytzbKaQlxX5PQFVpUkupjIVwT4BQF9ioROhnwnfN4TS2vvL9z/EPNf2iWdirCipLeUBKigq0r4e4VZU1L3n2WnSts6BL8QwD9fxd730id87Bc+4swWeZET+lLbWlkYweiOAP2lV/x0XfxolfsowH8GY18hkcsE2MVCAyKhzsT0OVqfRTV50FCAjOmQWvANsL5ebO36g/nzSzOnffcuEGvdfGBECuqkoC4RNqQj5nTEVIRsFcTZwj0NwlMnPbvsVJUZT8AWIWKkg5q7M+cA85/mp74UIW2BtKcjZjGgTQb1echax8f26dsHsdl9+vY+PX3EzhzEp9pxT4225TB9ClGlcE2G0kuIOk3rE4QG2ehE71/PQ8BubLqMjaUDALOuAVcHIO8gFlLDYfWDwPBdb5995fJfZr5QzZ6+G+yP4oAUsRex8SPx/jNp7YBfaHJzVX6mwI9lRU+ad3KUQaCNAm1MxCwZ1l5knRXGXo9ZayRQJJ050lFkR4vsaBKzJEBzDrGXMVcBBLJ+fW5T34Idz5ipF+z0IeHZhR1N3F6A9Kyvlw50s2BXFOyIhi7BvjOhla/gtUtSuL+E6cqorohrk9RwlOhDYr0YO4zQIxChRSkzQdowworhdhQFCNREYyYBN4u4UULUEjychEcSiC6JG9KEVcbMHGxIUECWt2Y4S5Ix8biOQ3QibJIgcxZ2VDFPHR9roONl2JULWQuwfVeYPEjM1MXRAmtrCqMVxl4kgSIJ5AlzFjNmCFMuZuHhQdh/3bdxPuC/xGC9SUaTY015BijHHVV+tMS4M7gtg1hyuDUZ0bL+PszXTQb7RFSdigE5xp6jnaXYRIu/09peaIr36vydGjfX3F7Yf7iyn7rfkhd2E983d+YrwkRVnkoztqnbp4dMb4/PnApBwxxn5bZdyR9uk/ExX8TBsAvVn/7aKkal+BpBza+GPaMrJuMd1QNiIVPhEwURkggsn0i0HxWePqm+eFp/fnygPG2/OMy3K1hW2JJw5iep8OiXxj/2W4ePj5Xnhy+f7v+6//Ro7+Ve49mj8vGj3GtwpIvGh3hiRMBVidhQmhvKb48UJF0+bsrQQJLUp0jNq16CNDmcxvpZ8ArsO7Xl/Sjg/wABP/X7PvJtfrTuO7G69jG92XFMjSuCT9neUli/ErqvhFcUxqdI9/cEd5IYIrFrIezcKnZimf5wnfnES30B0+dF8Xo+pc8mtGz8eoA89SB+ciX+4QPmY5g/w8Susng3Dw/y8IiAaSRSncBViciw5B9KhdVyWCUGh2VQLQSHwfvX1u98Ta72SkFtHrbkISATMmdC5kwYyISBfMSWj9jKqLOEOguwvYA5C4QrhdqSGJDETPB61+LsGf/SJTY4JIV1UlAn+lSJTW0xZGmhY8fU7NPYnafM7DN27kV89oiZ3I2565StSBoypE7G1SI6IsLDXGQQ3ez0L11A719PhQwJv2lrvn/B+fXMjXOLty6jfnWSsidjjigOgLB+0d83udox6+1CcWOW9ZTJiRZ9+4W0psi+I35pl5uvcTOv9qMkj6Xj1kTMLNMmmTSnSCBPW8q0tUYCDdxYJOxpxJzBrRnSnkCBDG6rMp46PZoBTcL6iLA6XAKBY3bqhTB7TE80UWeLdpUxMx8cYMK9NNhJhC6T4UtI4BzivRS6/zXj6ywgmgqsz6OaJKVi6UEiPgTTAxA5RFAGgjSTlDVKO6KkncZtNAawuJnHTAKsEyIjUkSVRtUJxCDD+gRqlhEzH9GLuD7JGhKMLhM3JmP6TMyUjdlSqCUTsZZRZw1zFyPOYsSZDplTkKlEOyucu8jYsjSwK3pqrKMSs5Vpa4EEkqheQnUJ3ECCfaHNqw82LsDgtQSjqWzb6tuOOufK05ZCzJ6nHAXCUabddW6sxjoKhDGBaFKEPhcz5xlrCrckYHOOGG1wM7viXEuYLTOTpdjErrTwNLtxmFqpcLdzlKdIj5eY0So3JiOGyZuff/Pt2zdufurf7MVwA8M5UNq6EtLNratpdq7+818rmb+y1Pc0vYCQc7c2LN/OqxDJe/js5/peQSglhEflxNFh+umzoqIUj49Lj/eLx3t8rbAs4nNUEH7I5B+VW0f7B78+OXz+5PD58d5h+8lh+0W7/vRR8elu4TUQvA6Fu0D/tYC3A4OuirHunDSUFTUJWifixiRhTNO6FDGUwYfS2KAE9RD+r7fWPvVufODffN8b+GBx7Y9LG39a8b+/tPZh1HfpCT2hiCGF21TQNcV7T4G8ChN8Rs3VKVs+ppOoAYK4tIJ8PIf/eTn+cYD7EmHO0rGvkttDmR0Vx3WG6NM+9rN19uMH1McQe4ZnOmV6MElqk4RRJvUypZVRlQwNSWFVAtIkIF0KNuRwQIro4NXOB/MXRJ8qB5prmLMacRRDtlzImgvbcmFbAXPmEHsedeRRRwoEEqA5i9pzpKtAOyucO00ahMiQhIxIEY0Y0iZAYw405cPmMmhro2PH5PSz2KwSn1f4BUVceBGf2Y+NNmO2atySZ0wioY5C/QlM7b9/8e6tL3yLX/OBoURAF5jtsRtPOQyfWr89OTN2HtlUZWlnhnGxmAWFDWBE7QeHIUQns86aML3H3XnKLSmyT3kYfLa9us/dawmzDWl6NzXbSE0XBGdOcGQ4WypmzZCWAglUKaBOmpqEqYTZpKCWD2kTqDlLOxvS9MHOXJObyCH2hN8g+3SliH2fnjyITe0SYw3UXSesOVhP+3qwzetIsAMJXiYjV0jwAgN1hVYvRL2dFdzUpm112pyN6Vl6mGQGQ2g3iPZjpB4lDAQO0JQjSto5ysmRNo4ABNQkwBoeGpZhdZrQZjGzCOolyCgjZgE28KhajmmTcXWGUWcYbT5uzjPWBGySQ/pcBCghjnzElkcdGRhIRowZAsiSljRuTuPGBueqMvYybS3T1ixpFmENDY0wERUa6gt4O9bXL8JgZ5LVVrZtVd7xSr15wpLDrUXS2eAm9qWZ9vZYg7EVYkCJtVY4Z5GxJWCTENZncEeDm2lwU7vi7Ro/VWYmW9t3nmbXDh7eLzPTGcxVJD1l2l2LezIEAK5eX1m4iIYGRNqa4JzZ1DTB2Nch/eKmnuPv1YqRYiqCwrMwMkMyCwF85lbA7o8voAmv+DNPF7ezx+2cosjPnqd+fZ482M/t72cP24l2LVpJR4ty+lGx/et/HT17cvz8+cHTo+MXT/aP9o72G/u1YrOYaP+Seg0Dewl4CAT7VgPX4eBXDHWdY7pZul8g1SKi5VFtkjHJ9HCOVFfRkVKkm9380rv63rL3/QfgZ3OBt+9uvLmy/vbK6jv+9Y+YjYuKeE+R/qowfoXyKeSmIqKKiCrk2jN6/gVzu82Op+gRL/H5DP72PP22jzsBxT+D6c9SsWsc1QGRFx/QZ5foz5apkz76FBg7J8d0iZgxzdiSlI2DDUxEwyEqBh6UQiOcf1AANRncmiVsfEiHLPcG7lzNhqw1dLwBj7cjE63IeCnoKMOOCuFsUGOV2FguNpqk7AkUyMBALgLkYUuZtiZRo4wZE5QhQesypK5C2ur46D7l2UWc+4hLIacV+p5CLSjx+4rsV3ZWlMT3T/jp452JMmvANq8Q4R4O0YD+6zfGPrh588SD+xew4AC0OXRj7PxfDCeN333uuXnhwXIfEwFy8bEcNy7iNiigDkEqGjfmGGeDmzjg5l7w3yvChrIdfCl4X/JrL+OLT7h7e9xMVRgv8e4i60zHgTRjyZCWKjvajLlaMdtB3NYitUUMyCKAENZLsKkYH69vT1W58RLjLuD2IuksUa4yOVrB3RXMVYZdZdBRpxw5WMsEe1H/1ZD/UiBwIRS+DEeuEuFeOtifCqtruOMoPnkgjJUZSwJTI9gwhAzCkSEUUaOwFoYNMGKBcTtHuETKJVM2ATMIEXUK0eQwfYEwlilXmXJlUTsf0nFhrUToUqxWZkZYopPHe1OULhUzSYQhiZkqhLOFT5YxVxq2JnFrMmYXCCMf0SZRYwG31GhLlbLWY/Z63Flh7BnKLBEmkTQR8JB38/rqRgcY7OGh4SSkysHaImkqwZYq7qhRrgrtrrNjLW66HZ9uxiZypD2NWXKkvRxz5XAgg5ryhKVE2uqsp856WuJkW5reFacPpDtPdxaOpYUDYbZBjzfp0V12dJdzF0lAiqiyjDm74yn/eLv+y305M02InnUYwKjp1M5aYtuX3tlimBVaXMMeLk1h1nPOM12TV274XV4pLO3Vsi+V5DOFP3ouHR5lf31ceLZffr6fPqhw1WTib9nGYfPo+fEz5cX+y+d7vx49fXb08niv9Uu+kBHqPydeY+ABgVQx5AiGDXg3v/CHz3jBc/7ABdB/nfAPcoguxVrSvDbP6ku0Jov3kuEzyxt/mtt4ZyHw3q3AWzPrb86u/n5u7a3VzRNMqENJfK/8QCg7EUWOKA9JpSApKUahvS9j91/GFw656SJnxNiLS9QHC8S7XupDhP0iyp7JCT0JrptlOxH28lbsrJ86DZLnUeqKRGpEXJ+gAJmwsBE9E9HwqFbAVTKoFoIqEdImUKMEG/mQlvENoyu96aCpjoy2ImO70HgLHCv7HdWIq0F4aqSnQI9mWU+O91T48UZ8vE6PVghnjXZkUECMGARYw8NDMjJSo21PpLljcWaf8hwSHoWeUtg5hZ5TYncUfkkR5hTp3rE40+TdSUy1tXbBv3YZDQ2tLl+8OXXy7p0v/asd4GbPg7Uez9TX33m+mp295lsfIcNGFgIkxJIgHSJmpUEDg5kk0pqjnTXGsxubPmTmnsWXFHHjiF95Ev/+aXzhiL/T5CYKjCsbs+UZa1l0FOPWAgnUaEeVsFRxUzsGNAhNGtYUSCBLWlIokKUcZdZTpt153F4kna+mTLsrtLtGjFZRVw12tuPuMgEkIsMs2BeN9BBQNwF1k5EeIjQoRnQF3FYn3TXCVcAtKcIoETo6pqNJDYmrCEQFg6qt4DAU1iOIhcOdEuGUCauMGWVUl0b0WcyYx00ZFCjHXJX4WJayJ3CTTOrlmFqg+hmsi4F6RGgkhRkSmD6NG+us51iYqzGeHOnI0PZ03C6SJhHRZklzjXXU4/YqY60y1nrcWeVdJc6R4+w5wcGgQ6FA5wPvVcjfzYYHpdBQAhzJIPoSClRwa4W0FQl7mXLWGE+Tm9jjp7KkRYb1SdSYwkwyrM8QQJFxZEmLAGqYwLAEGyv82F5i7kl64Wnq+2NpXvnh+yfS3JEwvcd6WoyzQJhFSJ0mTRlhNLPtScnjkjwhylMQ6VoPW5cDFkZckne8aGyRTqwGxJlvVrq+sJ247Dnz3ZoplAjlDhsFRUm9UIRjRTp6lnn2vKI8LyuPmUd5X5qO/rzdPG49U54+ff7k4Nnjp88fv3h68OLw0dGjnys/ydWC9JpIDkrUAIt3w3DHrdX3bi7/eWb1w+W10977l5H1fhbUSoRJYlVJRpOOqQS6B0ROzwX+OOn7/dTmWze8r99Ye310/Y1x/ztL8Ccs1a38uKgU/6qkIooMKg8p5SdJkdBj9PtDYm6PmHkSn26K9sR2Pxg78wD7OIB+StJnOO7rjNCTEfpT/EAi3sPFrtFkB0N2CdRggtCJiFbGzEnCIsAGPqKXMX2KMrx66CRmSqBGDhzhwBE+PIKud0ubmjLsqEc8LXCsEfCUvLYq6G7hk8WYJxcbTcU9JWmynbpznLp3uH17Nz5xEJ9qMmN53J5E9WJkUAj1ZVHdvjhxtD3Vol1NzHZEup8xk09jE4eU59XskqNl1JaCdSI6gga71u9f8Xv7lhcvzs2eXbh77sHK5cBm9/p699zC1aX7/aBfx8I2HrZHA3rSpxVAkwxbuLCODRtEyJxErHnUUSVGW/TUATd/LH6/Ly7usXN7zMw+f7shThY5V44FinFrjbPWWEuVAuqUrYIZ85CqCKuToW5i4wrr705EVFnMWCDtBdyex2x5zJZFramIOYNYiqSzGhutUa4a4awTzhbjLOHmJKSSoSERHhYiQxw4xIYHowG1HDEVMGcJdaYjZhHU86hWoPVsTMPQappQE/AQEhyENgeRkDYKAyJqlwl7mrSnCWsaN2cIUw43ZTFjEjUWYvYi60xTFhHX84SKQftR+BoKXiP8nVJoJB8xZiBtBtHXGNeRdLspjBUZR46xpxmbjOmTqL7G2g6lsSoDVBlrPW5vCa7WtrsmuIucIxu3ceAA7O/c8l1FA718eCgBjqQi6gxqKOHmCmkp09YiZcnhphwOVGjHrjDeFEZzFJDCDCKkpoODCUyfpsx0aOjB8pWVhcugtzdF2xs70/sP7xwm7uxLt5XM0svUnafSzB7rbjOuVny0HHPVhYn9HxabO3NZ1pPhx1PCJEG7b3lHrHe7bvr0XGqVS61ucVPfrnb9n7GT16dPfbt0ddxnWKLmtzJRolkRfn3O/aqwT5W0olQUJac8RWq5xR3S9zDKFROJUlr+KdVsVV8+/S/l171n+7XjdqlU2M5mhdc4vJNBO+DwuXXvp+PLf/juzu9G776ztPS5794l7H6fENBKkIEm+xlqiKUHYarjLnzSFfi93f9bT/D1G8G37Ju/N2+8ofe+4Qq968e/3t9xKz96lR9QZRtRZErJCooEHhOzh8ztPWZqD/PUaEsqNkhgF0PglyHwSwI5S1PnhVhHgu3OsUN5dihH9WeJwSylyzPWDGGSEUMKt6Qpm4yZRcSYws1ZGsiQthRuycZsacrMwyNcZJgJDfiXLrGbIznUWkHcNchTCbhzXnsRdNfwiQzlkkmHGHOm+dGqOLkrTu8L021ucp+d3mUmC4iVDwwxm12M/6oE9RVJQ411FDFTAdLXMeAg5jhknLuUtYqbGpgjB5oToJEJq1hUhUIDi8tXvBt9RFj9YK1zdv7cwuKFULAPCo/4NgegsJ5HHa+qMVi/SQ4DOcyRx+1JyMQGjVzIJICmJGLNEs4SM1aNTzeE2Ro3U4tNNmMT9fh4jnYImC5BaIpxoMVamgxQJ027lLVGmEuYrohrxVDP0u0Tc5Pvby2ey2H6BuMqotZCxFLFnSnYlIAMyYgxh1uLhLWEWyq4tU45ypg5B+kSwRE5rEpB+nTEIINaIahhQ1oRNCQhUypiTqFAkjAKtJaj1SQxHMWHaWyYgQfp8EA0OMiCWiFiTKBAmrDlY84C7cxR1hxuyqCGDGpI4/oMZUyTJhnXCriKxYZQ8JrX9xXou8oHByqorYk6CmFtKjicw/T/9xuJGTOoKQUbhOBwIjhUIQz7nH03btuN29qcfY937AnuXdFd4+xFxsJsdmGb12F/JwsNJFFtHjeUKEs5ZivTQJWx1nlHkbHIT4NH2wAAIABJREFUsJoN9aUQVYUF2onxctyWoYxMaGBrtQMLDkQjI97Vq0srF1dWO2BwWGbsRWGsKU/v79xui1NH21NPtiefbY8fsM4jYfxF+s5h4s5xZulJZrUt38uTnro01/5ptVbaABnnzcDwWfNHXsqdrwbJxIx5taN/9gvXRscqqg7EJ11+S/994AYThtut6LOX9AsloSgpReGfPyZ2f8FqOfI/U3RBlooPS82fdx+VlMePlMeto7//3PwlnftRLPyceA2Cz0PwWT/4+XrwxM31P1jv/ubG7O/v3j7x4NZZ8l5P0q9LgjqS7IuSgyjRuwp/7dj84zfr//qt719vgL+bhP/sCr7zzdq/XV38fzvm//m71T/S0NWncYcibynbf1WkqPIDqwhre7hrN+Zsx93VEJAJa9hAJ+j9amv9NLR5Bg6dAaHTBHaRJ66nqIE8OVTABwuYqkJaqrHRAmlN4+YsZc+zrjRlS+BACjenCSBJWJKEOUWakrhGhId5eBDzd63cPUv4+zO4tYA5y4inBI3mws4yNlalpyTcJpB2MeZMxl35mKtEOqukq8Z49rmpOumRNjXgwhVw+Twbvpalh0ucPksaXyXFi4i+SQMt1lqLmYu4roRYUyCQxh0caoLB4dWNazN3z/s2BwTKGvIPTt06O3Pn7FagF4O1BKynMUDGnRJiS0QcJXKixc3tibMtfrLOerK0J0W4ZNQuIDYJtyUpZ4ZxZVl3BrcVSWclNpojHWRgyLdyBfN3ZWhdm7PtMpYGbtylgCYN1BmgzFlkbMR14w277fUHdz4v4rpmzFFGgBJsqRPOImHNoeY0YkxGtHJYJQeGs6C2ggMF2JAF9amgJhMyFCKWEmLLQuZEQJeCTSnYlIzoE4guTRoycZMc1zKxwSg+RONDPDYsYSMJTJ1EtTKsFSFtAjFkSUuJdb4C91OwLgFpkpAqiakzpC5D6VOEVsJULDKIhTsDvgtEoLtIWF+Kcy/Y6QpkSodGMog6jarT0HAyNJwJazJhnewdltd7s/7+IthfxfUNwlDH9TVM1yRMu4y1xVrrDCCG+rhwHwv1S5gqSxorMUuVdVQ4Z4UF6rytJtpzjIEO9UDrV+hAZ4ZU51ljmtKK6Ajou7a4cPbBekco1LO+0bHs7fCH+6KEXmRsKcZZ5sYqjDsDmys4sMvYnwjuA9b+RBp/+cN8e3umxs004rMZbJTZNGaZyVZhvVZZX0R13bdOn7V9+M3sxRXUPO7tH7p1SnP3yynvdUZwRh/OuXz6jlv9mtDsg/9Mk8ePo4oiKkpVUYqKUlBell4eFx7vph+VCs2f945ayuPdF4eNJ/u/NGs/Zn/azheSrVb5tdXIqXXkiyXwo9nAn26svW5f+rfRe28uzn8Mzl/gVgYSQbUUVhFEN032o1j3UugssPb20Mr/MPr/5w3kD8DmG1bfm7rV33Ut/Y+L8//tm8Xfzi68JwY6nuHTirCpSKiyHT7CxpPe/kSgPwOpy2EgHVBF16/DKxfglQuo9wIUOBcIfonAXzP4dZnoT+L9aWQgh6gKqLGE2PIYkMOBfMyeZx1J2pIigRQJJDGTiOglVMdDw0y4l4P6+cgA5u/037/IhIezlLVEOmv4WA2fKGNjVWayzI7LhD3BuPPydO3h7YY0XWM8r9rrioRdCmrh5e7VW2cWb52EN85ykatRsCOJ65KoNoNo86imhOlKhD6HaVOIKgMDYhgQUTuNAf7Q0N21K3PLl5c3eh6s9czfvfSd55PxmVMPNrowSCOR1iTtEmGrDNsK1MT+9sJx4v6hOL8rTO1tT9fFmTzjkTAHF7FwCCDitgRtT9H2HGnPYpYMYkmgABPRIMH+KNSfwIerpKFBmRqUqc3amowlTxoFROVb6/jmu9843G+FVr7KwiN5SFMIayuwMQ/q8oguj+iSkIr390fXe7iNvlRQVUZM+YgxDxryoKkIWSqIs4I4c6BF3tSnYEMWM6dxYwLTSphKIFUcNRwl+mh8iMUGJHwoTalLcWOFtxQYUxrXJxBNFteXaGuJtuYwYwJUC4EBKdCXAIeyuLZAGWRkJOrvwjavM+FuERnIYLp23KPI3yv8fBOzFRF9kdIXKX0uMpKPaGu4rUm5KxFzLjiS9vckN6/Km105aLCGaRqEoR0DDnjHAe9osdY8oU4TqgShlnF1CtfkSWOJthZi1jJnqfDWImeWsBFks2Nr7TwZuCpjA2ykl4S64cDV1fvn5xdOL6187Qtc2wp3gfAASemkuCPJubPxsQo/nsOtxEpfKqgqY8Y2a9uL257KY08fzpYolwRaUphbgh3wpi7g13rD+pu+vgs3Tvxu4L+/PfybD0be6J882+H8pGvsY+O9c9/Nf7W0OeBDHbMBs2MDsIen5yQE2a2KynNeUdLK85Ki1BVlV1H2lRf7yuPW43br8FH779X634qNZrFay+X/M1Wu5Zqt6muz0Kcz4IeOzbf1q79RLf8zsPrbG8tvzt/7CFq+xG0OcKFBFhpAsU6WHOCoYQjuuBU4AXhfN27+Bgj/7i+L/9+3q69bN97Ue38/tPob49rr391+3Xf/ZC448pKdVdi1l8S9FmKXff2Cry8V0tdRexExp0GVEBjg/b1MsAsOX/CGToGRrzDsKkP28mSfhPel0KFsRJMJGVIRbRLVZ2ggSZtF0pCkzWnKLKM6EdEncR0d7EU3rnDhHhbsITa7yGBfAtFUGXuddDXJsV16okGN1RhPiXYmMFsq5i7KM/s/Lh5nFvel2434eI0dyzFWHtQIoIoHBxDfBSx0nkauQKGvJESdxvU5wpBHdNmIJg1rUohGhtUFYjSFuXncjaLAoq9ndq3j7trV0dvn9LYTRseJb50fzdz5yrveRYKaPOMpxMYlyJxGnTVmZl9c3BPvNeMzdXaswY9X4mM50iVFAB4CJMSWIZz5mKtAO2txT5GwZxBLhrTn4u4MZ0vG9Al8OIupq7SxxVrbnL1EmXlIteXtGp85PWL7rcPzx62Vr+Vgf9Lbmw0MliOaVGBA2uxJhwczkZFEaOBVnDUb0uRBQyaozYOmSsRag50N1F1BnJmQWfCq5JAug5oyBCAhWiYyzKBDHD7MEMM8MSQQQzIxmKFVFcHYlO1VwVpgjClcncE0OUJXJE153JAKj4i+Hn6jMwUOlUlDnQGymJrd7CI3rkngQIHSVymggdkOyYnD2FSTcldIc5U11xlzOWas0ZY9buxQmGnFPGXMnIkMCqFrQrC7gKmacfOeYD3Ytj9NjB0nPHuio8qZ8qxeJFR0uJcN9SUiqhxuytOWUhwoxoEsY+DQISzciQQ7ouGrbKQTCl7xe7+eXzg1NfvJrbunZhdPL61dCIHdBDbCM0BOHi8nZus78+3EfIObSEHGHGys4EArZtllLMey50n6doF2iZBFwhxJdoKmXDOr/X+ZPnf6uw/eM7z5zje/feub37wx+Jv/bfzTe+rf//voSWDlyoyvP4Rat8J2EPaAxOwSPDuLLaHFRPHF47zyvKkoR4ryVFGOFWVPeV46eCQWs9G0GE3w6dKPlVa53v6lsVdr/L1e+dsvr323+Z7V+7Zq9d96l/77fyz9N93avxoX/s0x89bqvbOEt5sO99H4AIZ3ysxIljeI7GAA/coTeOeb9X8dWPln3cpvrRtvurzvWH1/0K39Blh/49uZf1lcfB9ZPlWO6GpBZ8VvbyD2ImLMw0AFH6/hjhppr9G2MgHkEZ0ADUDBi8v+zwKhcxDcQZI9DNUnUP1JYigNq1JBlRAYkiKaBG4QCC2HqRMxcyoGSKhOxvRZ2sSF+4iNKyLYzYa6MV+ngKhKuLEdd7cp1x7pOaDHm+RolXRmERMb1LMRU5J21RO3D9P39rZnKrQ7j9uj8IB/tYMODyQJNea/CPtPk8hFCPpaQtSvoM0CYczB+jSse4WhNITZ3cRScedelHKNL122zn7pWTj/F9v7vdp3VJb3vvN8srJ6DQ4N8YixHJ/IEaNZwlmmxxvx2V1ufpe/04zP1NixCuMsU648ZktFLEnYXiQ9ldjYK5+mQjtqzGgjPl7hx/PcaCJuSdC6JDFSoAz1uLXF2RqsJYPpmPBwKDgwt3xZ435b73xr+c6XwmZPerM/HxquotpseIhfv5KBBiqEvozrS6ihhJryoCHtUyU3VYWQsQrbmthoCx+voq502MhsDIsBbRIyJRGzBOsFWCMRhiRtTMSMr2y/NDWSiQ2XOG1t21zmTNmYNktpMvhIBtMUCH0JN2ahEWmzh1+7noVGGjHgWPYcbrurtDGHqDOIOodpa4Q5u6nOew11ZLROukqUuRwz1mKmImsqxYA669mNT1RodxYzysgwC10X4N4MNVKgta9OTpRZQ0O0VAVrmTdkGC2N9IG+q/D6VT44kMWMRcZWYC3FOJCJGURCxeODHNZHw51Y8NID77m7i1985/kj4Hl38s4nN+98NnPvlD94fXnlylagX6CsBWG6Kt7eleaPEncOt2fa/Ngu525z9iYDHO2MPsvM1fjxDOVKcxPZxCy7PelY7fl3z+fvfvP7d7VvvGd443ea//lPnf/0m95/+cTy3rcb3aOhgSXUREtzBXElwy0lhDWEWFyOzDNZbvfl47by8lBRjhTlUFHayvPiQYvMJ/1CFNxmHzBEplZqHf1X63H74OnB3uF/tdqt14zQH7+F3lEFX/+P9X/5y9o/6dd/C9x/27P43urq51HwMot2Y3APSXVK1ECBVstk3zr4JbD5psr/WyP0ujH0lm7jdePK726svXlz7a3R1TcdK6/b1363vPapAPVVQKAO2ssQkA6pxfVh4nYXc3+oCNnasfH9+MTxzlSZt0Lh6w+Cl/zQJRC9ipLdBN3L0sMypUnj+gyiT8E6KaLhI9pXuXWRNEiUUSb1EqlJEOoEPiyh/TzUTQevRYPXmHBnFh5pMpZjfuyAHmvirgrmyGJmMaKTw4YUasuTniY393Tn+wNxOk+YRXgY9F1buHdmfvHMwuqpmcUPljdOEtgVnuzNxE0V0V0VPHnaIsNqJtDPhjRJ1NEQ5g9S6+30ekKYmVrt7PWc6B396Lz6jf/49l1g9LPFxaurC9dW7lzhQoa6MF2JT1TiE3vS/IG0uM/P73GzDW6qyDoLcXsasxbo0SIzVmInq/xUlRkv4PYCYk1j1kZ8vM56soQtSVukmEVizDnOXqAMdd5W33YUWAuH6AK+fpowY4TpxszJ/zPw//zF8C/Q/a9lX08+OFgjNUViMAl2ScHOLDyUQ1Tp0Eg6pE74VcmAOrWpy24a8wFzEXKUEXcBtidCJm5TzQfUXFDDh9UipJYQdQLTpihdJmbI0JrqtqXCm/OUqhzTVhhdgVYXY7o0oSlQ+sr/T9ObBjVypvm+jnvOxI04NybOnJi53TFze2KWju7THV46XC6Hy3a4bPfpdnu8jV3lqa1ra6rAbAYka7PW0mYEFAKKrQoKCgxICLQi5XYylZmkMpUZKaSSLLVkKaQWR7IY0TCioaGgoYq8H2r6jffj+/UXbzzP83/+f1K9iisLmDwLS2K+dmq+PhOQbrNdQnL4MNa/ThnzkCoPqSq4oYzoK4CxCpiriGWN7CxxpgJrSBHqFKPLhgwFsms12JWFjLGAnA20M0AzD7clcEmSkMYxUSIoztHKPKPIUNI0KeHRVhxqwgJNy76WGCLN0fo8ayzy5hSlieByHpfwpDhGy2iibcl3bcr2wdDEL2cdn07MnDEP/LzN9LLa+pak642B0bOgT5wIdeXovlVmYIMf3Y7e24+NPYkO18LdFda8HrHUVnr2vhnaSY1tfHOv9Nt70fjAMCj5t/4PX1OdekX+0qkvTrzyxQv/S/vqC+3P/7TtxV+PXJyKDU5xA7ddmmXenvkmkHq4RBPTDnefBxjPFLh9YedQePJEEKpHO8VHW1VhP7294U/H7SuMnaPsEZYt/m51Z3vz8ePyn/bX/rR3ePz4mVvo22bsLTX0usz/itr9gtH3qtX1ywnnR/7AJTbYxARb/IGbIFIXITpytDJKihaQC5bAWzLviTb3c1+4TkocJ285XulznR52vTngeK3HftIyf2Js7pc02LiKGTaw7gpiSgfU1EzbtOms/86NrEd/yI4ehIf3I8Ob0R4WlXg9172+ayB4E8WalvFWhpAkCGUa12Yx3VMyWVBJQ0oGVbOYikHlNCLjcDkflDFoBxZowLx1y4F6Bmph4Vba0xgHJHlYWwhos15N0qvmPGLC1R4LaNNIZx7rrQT7d+mR7fDgKmVOEdpluMPprJudvzQ9f3ba8QGIXk5ExClOnuWMRa67wHRnSWMSU0dABedXRyFzOTy2/dCx8Y0jwY2MOZq+GHhPPfSh2vqBdeTC8L0rjtkm13ST60FzBNBXuOEi3b8ZG995OFXjJ6rMvRo/vr4ykqUtkaCGB7WJoCXP9K9Fx8uRe6lgVxzQZVBzlugqkj35oCWBGKK4PhoyxUOGFG0qMIYspc1Q+iSpJUDpxNS1GUfjpLPxi85X/rXl+/WyH02PfkTN3sz5JOuUoUKrM4go5m/OwJKneZ5xj5RfFPPzosi8LLaoSLq1KY8h6TEkvLqoX8MHNLxPyflVEVAVg1X/SSauSpOaeFCepTQ5Qp0NKnO4Kk+oc4Q6i6tSuCpHaIq4OgvJ0oAkA0vSqDSFSDKgtBoybIY7K6Q+jygzgKKIajeZrm22Zydk3cZ6N7DuKmUuMPokoeQhCQWJmICY8yoiXlXMo+J9cg4URzBxKiRP04o0rciEFAVOVeI1hbAyRYhztDxJSThCRKMdNNjKgh0xVJ4O6xOEig/K+aCMwUQY2AiDNxHopt9/bXzuvfG5DxY8l2Yc53ruvVeveeGm8oVm/UmHvZHGdBmmN0cPFEODVXa4xg5tcUM7bN8W37sZ7dlc6dpgO7cj1p346GZsNPtw0Iko6oc+ekN36pTylX8xvPWv5l9c6H33lrOpbuj8ma5PZA6pJ2ezxafMi8aJwChOOwlqHiW+9kJjLmSC+QYp1vLVw9+XdquprXLmj+vFJ49Sj7aItVWw8C2QSzl/+w1T+S63u7v25En56KhyeHAoCM98Cb0mB1+VAae+8L/8pednRu8bd7zvTvvPwOh1mmpCkBs2x/kFzyUu2JEPa6MhsQ25YATeEvlONLqf/cJ/6kvPq2bf6YHAz+9437w9//JXc88Zbc91Tb6y5DmfwWQbVNfT/NYSZEZGGhY6L0QmRdto307QWkXNZdwQAyWIsx72XscCNzGwHoeaKLgtgkqTmDoT1CQx7dPVewpU0IiKQZUULMXBdhRqI9B2GGpccF1yuS+jcAMTbKXQZszbsOxrifjE6YAyB2jTAWXMK2bd7fmgpRrqq+J9G3DPDtq7Q1grhDlD6JaxDhBscnqvTTvPzbg/xojriagotaIsrnTn+e4sbcmFLEXGkiFMUVAXCRiz6MAaO70WmYkzQ7OeDuO9swOTlxyOFrut2T7TCNhF2KKMdasKRO9WZKzKDJWp/ho/vhW5v8GOV/mxEj8Yo4w4Ike8MgrUxcnuPD+SoQeYgJbyqBKYKUt0JSFD1K/hA2oO0cVDplTYkgyZ84wpiigiqILFFM7Feknn6ZavTjV3nrqq+dE11T/rbp9yPLjA2FuLgK5G96yHzTlUkQiIsog8C8mTPmncI2Xs7dRc6/JMGzcvjbnUcbeGX1SyTuXTqVgc1qcwU4YwpXF9ElMnMXWaUGcpbSqoScBPHR5ksYA8CSnSmDqFqpKwukAYK5RpNajJQvIsIs8SigypjAba0qg8hcjiflHcL0r4pVlQ+dR5cDtk3UAsZchQpvS5kDqKSnlIwgflPKSIBtRJwJiBOzN4Z541F1bMhag+y2syjDwVkqZD0gwtzdGyPCMv8epyTJ+LapKsMkbJl30t/vk6xNuMeJtRXwsOtmFAs8t92e44Z1s8N23/+Pb9nw88eGd09sM7U+/fHntfYnlN1/eLqfnrDKJNh3vz3GA+NFBihje50Ro7VAv31cK9Na5nM9K9FjaXcG2VNFXpriJloUndqKvpbOfp17WvnNa9fvXOJ/VDZ9vGLtnpzjHYYPHqvwK6hsMTt6kJg+/eJO5Zji9TD1H6IeSn5u44eowz5jvA2ALnd8ZxZ4qBSyl6Z43e3Vje2cBqVfT33/nXStzOVvrwqCwIZUFYF4RjQXjmc9+LLa7nP3e/2OY5IXe9/JXn7WHvhzP+c0vYFZS84QUujc186HBf4oIdRc4YZeST8Dm599VG7wvNgRcaXS997nxJ4jipW3zZaD+hmfrpl5P/LJ/4p64HL07b36EDdSVMXcPMx+ER4eH0Hj4YmRTFJsUbvs5NvznrUCQcooiznXe3RsFWHmplgGbC30D4mxiwI4rIEqgqiWuiiOrpn8liGi6opjApBrf7gUYs2OpH6qfd56fd5/3ITRxvhuGbCNiM+hspX1sSUqxiulVMl4MVKVC6RvTssEP7oYFduPsI6d4nuitBUwJVgWATADY5/XUzngs2/1kAu8IxrcmIohjrKUSsObo3T/essr1Z0hxDDDG4M4X0r4buF+j7UarP5ZN8NfKx5c6HC7aGmYkbtvv1wFxH1G/IY72bzOgOf389NLweHt5emajx4+XwyCo3lOKsGKq0uRrhgILC9AxuZrBOFjHTkJGB9HGskwe1lFvOuOSMV0n4FRymT1KWBG6KB7UMIOMxNQqKhifPXvjiR//y+d/+S/v3zyl/oB5+1em+zIHiLKBfx6zbzMhmeKAY1D1NpC9g2nRAHvdIaVvb8mwLbmvnnbKkX5vyGyIeDetWMF4FB6gzhKlAd62Ge/IhczaozzztfhGaDKrl3NKIS57wqeNeVTygifnVlFPCOKVpQLeKmQqQNumTRv2iCNQRwcRsoDWGiBOwNA5J0ogijahSgDwZkGVgeRkzrgK6nF++SmgypDKGSZK4Kh3Spgh9BjUX0d5Vor8UshbYrsJKZ35Fl+U1qbA8SnXQUAPhq+OhpiwpXovq1n5rSkdVPCNJhBUU3LYwd8U2e9k5f33JdRP2NSx565yuS3bn+bHp98xDr3VYnpf1njCOvtlz/53bEx90jX4wOn1xyd+eILsz9EAuNJQnB6vhse2V8W1+eIvt32KtFaazTBvLlL6EaSqobhXTpRENQWgnfC1nu988feuVtw2vd0xebRm+8NnApwOLInvQOkuM6Vy9n9k62zz3bodg77cZrlKgC98QmbCH8/S4+2STWsN89xB0fzICjEX+t+13Me/mqne76t3Z8NTWXf9RBf74B+boMHksFAShKAhVQXgiCM80e55rdj4n8ryk9L92O/DOGPiJDbiwAF50YZeXiKv2wPm7M+853JdwoDlBKBlaMo6c63C/fG3xJ5/5nvuN/fmbtuc/t/1M6Thpdr3S5TxpdjxvsD87ZH9l0n4acX+ag9orPuUu1CVEvhZWvj6ihzeAzh2kbxO0pO2yzKIsH1DkQGURVxZIVZZQxFFJBBHFMFkcU8QxRSKojsBKBlCwoJrHtFFSw5JyKigCkCaUbPXiDRO+c2PeTxbQKwDZAGI3EbR5yVvnd9Wx3tY0JMtDqhyozIHKPKxfJ7u3qe7doPmY7D5iesu4IQrJnZ66WdfV0blPh+c/dkKXEOImHxbn48byN0PF6FA23J+helNkZxTVR2B9gugts+MV7kGWvscRvS6fWGP9VZvqldu9Hy48aFiaaeM82lVicJub2I9M73L3a/TofnRqkxvLBXuTmCXH9yf4Xg8g7pu6aHe1I5DK71fYbO1LLjmHdvKYhfBpAbsIsYtpp2zZJfM7OhCvjALUlFdBeaV0QB4jdF53y1d3fnVR9sOz0h9cUP5jnf6f78y8SwTbkrhmFe3eIu5t0+Mb9EiF6soh+mLQkIGUUY+Id4kYRwfl6OB98higSUGGNGyMAzrOr2b8SsYvTwUN+ZClyHTnCWMa1WZQdRbTZDFNATOmfJocaFynBjZCg2tkfwYx0U7Z8rw45lFl/fqUS8nPi9jFVtrXykBtcVSWJlRZSpMLaSusuRw2ZXF1GlGkUfkaaVrD9AVYWSLVGUqewGV5Wp9nDHnCmEXNq0hvCe0v4r15qrsQtmQZXY7VZnlVipXxWAvhq6N8N+JIS2VFW3yopchWALrBhUQxWob4m53z12z2K15PPeBvWHBdsTku2pwXhh+8J+t88abhJ7+59eO2rhOa4beMI7+csF1FYDmBatJEf5YayuADBXxwgx3fW7m/wz0ls6dCmcq0cTPcWSUNJUxTDOqyuJaNmEc9jW9rXnzhi/95SvGz39w5c+Grd89of/HVRLMzOOIK2Y2esQ7vfWt0eenfvyNqe+mjx3xtnShngG/phRWfI+JxxfyumL+LchkI953fchNr+cna2tT2xlTt945HW679XeLx48ixkBGEzGOhcPhkVxCeaV78icj1ogE4fQd730FeB8gGDGsE4Zte/KqXumYDz43PfTA+e8Y2e8nvrIfhljH0gsj72m+cz9V7nm90nfjc+ZLcfcoSeGsYeWcMe+cufHoIeG3U8eqY4w2v+4MM2rIOaHb8nQJ1T2AnDtmRGt67Rw5sIJa8V7uBd20xvVXSVA0Z1sOmKmcss/oCo80xugylTZLqKKZkQTkdkDOAikM1EULNUTKaFPnRBpBqdpI370Ln7vg/mkYvIOEmeqWDCLXDUD3oqVv2NCcBSR5SrULaMqTLw9o10rQRMtZC+oOweSdsyuEqDhTbFq8NTJwRdb6q7Hvd7r9MUW08I8s/7FpLjpUf3s9xo0nSygeNy6CKxnRJzlqJT61G7mfDoxG63w8rukY/kd16c3TgHO1TRkFDPti/SY/vclO73NQOO7HDjtf48So7miV7Y7iZJUwev8QycV7U+87Qg+uzi62zcy0TEw2AU5miBqJYj39eanvQiMxLGK+acCkAuwhYlKBOGWwToY62ZY+EQzXTM9du9f5S9NXLX/a9cmuP4+WLAAAgAElEQVT4NcvYWzOu8zjSFoHU2UDXOjqyGRqrhIaKRHcC0MYDKs4jplytnFcS8SsSkC6B6uKINgpqYwFtBNBygJoNKBhA8VQ58FTalkY0OURdwLQFTFslukpoZxntWicGN0MjtfC9Smggi3UmQX052LtFDtbw/jXYkoN0MVBGB9piiCxNqDOkJhfSljhTmTcXGH2e1uVJzQbbuUmb1whdiVbnaHmKVORp/SprKpKmVdRSgfuqyGAVH1in+ze4/jLfWeSMBV5bjGjyvDLLyPKMosJpKivabESJ4Q1e6BpDd8RYGQw0zcxdmp696HRf93hvTM6dH578eHTmk9tj737RebL5qxd/o/tpvfkFWd8b6r6fL7ia4kx3MtRbpMdK4fslemKNub/LTx+sTO3yI7vc4C5vrYW7tyPWvah1kzavBjVpTBnF5F5Mqpz45KT0Rz9s+4cfNv7Diy0/PdHw7Dvi16dc+mVufonxdYF2Cw05f1+KCgInCGlByAhC6skjrlbEy1GiHKHKK3g+LIdsHYijK7MyvF7u26gO1TaGtzcWnhx6Hh/ighAVhJwgZAWheHS8LQjPtMz/T53nlbvYe3b6IsGJ+JA0gnVQaDMcagD5Rg92bWbxzNj02dmZS975eqf/5hB4VuZ7o9Hz4ueBEx3ukxL3K196XjX43ujxv9UHvG31v9HjPdVjf6Vv/tVp59tRtGETN+2i/fvEyBbVn4f1GUBTCXZVgl2VYOcO378b6VtnLJWQocqYqoyxRGvztCbH6DK0Nh3SRjElBynogJwOKBlYxWIKmpRQVLsfq18i652hG+P4hT7go2HgEy91nYuLGFZMU20s1p7ApKuEtkp0bgZ7NpHuNcqwxppKYU2RVlRoZZ6QxxAxC4lcnqY7k+duak7c1LwwYT9H4CIKk8ZDpiw7lGFGUqGRJDUYIbtwTIUF1RzXlY4MR0P9MXqQIrucgHRg8lLPnbPgfEcU1KXQ7hxqLcADJWSoEhxaJ0e2w2Nb0YnN2PgqN8Si+hlb45d979UbXv/MfHp8tt7uaHXMt3vnJQxoTgathFs7c795fPTaUzKxRRnmkhN+Ne5WwDYRPN0Mz7bgLsnYvYvWkY/Gps/Oui/Ous+5fFdBsIHBpDFIl/ZZyuBQjR7fitxfpQZiAT3vU1IeEeVpj0LKGKJNYMYoouIAJeWVU24Z5ZXTPgUdkBMBSQxWpYK6DKZLwuoUrM4h2iKqzcPqEqwrw8a8X59yapJufQYwZVFzLmgph6w73D0hOiNE54SVqb3wUAHTMz4R7xWlYGUWV+dJTYHRFxhtllZmaWWe1lTCxnXaWKV1JUZZCCtzjCpLaVdpQ4kwrSE9T5cQNuGBLWJgmxna4vvWI11l3rga0RRX1OWobiNu2k31lCOaBCPCiUaYvLlMt1JEGwI2u9w3F1zXXJ66Bff1KduloamzozPnBh6cMQy9I7G+Lu8/rR56u2fyY+vE2YXFVsSjWvboqtzXmyvzW5H5nYj9MGY7jE4frNw7io0crQzsr/TvRwd2V3q3uK4KY4piMpfrxq3RDy5bTp2U/vMP23/wvWv/46/O/Pcf//ofzyp/5YH6uZUlJ+kz++zG0P+eqvyOEgROEFhBSAhCThBiT7ao/8ixm99GNnLUd0kNufRVlLL/cXPmcH9oZ2fgjzt3drZsx0egILCCkBGEqiBsCMK6IOwKwjMy94u3oZ8v0OexlYYIp0jQygQm5YIdDC+ikiKUaXJ5Lzo9dRjQxsCyJajF6vtI5H61zX9SBp+Se0996T2ldL+qcZ66tXjK7HrN4nqty/Oq0fayZfFU3/xraOBKhTBuBwcrcG8C0MUBBeuSZBD9Rtha4/prnLXCdFaYzlVcv0poC0FVCpEkEHE8KE+SqhSljuCKyNM6M6CkQAWNyJZx0TLZhlItMNPs4Rpn6Ku3wQ/Ni78YC3wC0jcJsokJtSdoaYHRbrLdu0x/DbeuQ91Vxlhm9WlaFsVbolgzDzWxYAuLiTBUvuBqkXS+Va99aWzuAoZ0IICYBtXLgJGBulm0Px4ajIetOK5ZQqUIqWHpbgI1EXjXEqgZtTfcGv64a+AM4pYnEGMWt+aQvixgLUIDVWJkO3z/8OHXtZX7RbqfBXS2uSbL8KdfdP9SOfThkL1udrHVNt/isLUBDsWyR7c0K7lz+5JO836f9dzSXDu+KIPt4mWvikdNjE+DzcuX7t1YGL3mnWkaG7k0O1dHYGIuLKFCLTDUiMGtcVJbILpz/t7VwMAuNyVkHBsrD1JodwzS8YA8AisTQW0EUjOAatknxj1idLEdXRRhTjHuERNeCertiICKOKJOwupYQJ7wyzOAKguqMwF5wa/YCJrX4M6UUxN3auNuTdSnTsL6MtGzSQ3uhe4dMw+E8MRBeKSMd0YBacQtzqDaMm1e4zorEVOB1Tx1Ki5y+hKtr4YM64y2HFaucqpCWJ3CVWth8wbdvU0O7uNje+jYDjy8gw3uEv1VylLjejaj3aWIPsvIU5QkRytLYV0hrKCwhiXkqj94HcRuYmgTR8tTK0aKEINQ81KgwetvdPoaHb6GGdfNu3OXR2fPjy9eGbZdmHRdm1msB7xS3KvLEsNVbm57xbETXdyLOg5jtoOVqYOVe8I3Y8crg4eR/h2ud4vt2XvYt//boTitvjt7/jf6k+8pf/qc6O//9rO/+evL//375/7mjc9PtPVeQvHx6EN4Aff1gO4efnm8UkQEgRWEmCDEBSEhCAlhL/m4lntci//xO+z/pJoD9ltRZunxkUMQhvb2Rw8P7v7pkUcQlgUhKggFQdgVhH1B2BGEfUF4RgK/dJv4uZO4SBPNOVJZJE0Z1BwLqqKcmIm0+In6hcBNPCiJMDqO0i1BLXd9nxq9b8o9J7/0vqTzvWHwvWHxvmVxv2l2nP5q8U3j/BuyqZfkc89rpl+8PXPa779WYA3VsDUHdcY9xigmj2JyBpTEUPVaxFpiuzNBTSlkyJCaTFCZQmQJSBIFRCzYQaNihlQkcF0kqGERJQsq2YCCBsQ40oJRDTDdCtBNfrbexVydhD4Zdb1n85/DicYEKY5j7Um4oxzUbIUsW1RfGe3JBTqztDoaEhHUDZS4gAYvIsh1GGoGQbETkNm8klv9Z78w/2Jy9hoGSVGfbDmg8Tp1S4s6DhtIMqMU2bWAiKaCjd6HYpTuXMI1C5hi0t+qGzsr63v37uwNgtBH4a4kai2Qo2vUxDo1UaPuH7APhJWvq8w92qt1OcX2gHjS0zy2eMMVaGdDOhRS2mcaPVMtEY+Bd+js1hvDtz6dtFyBZ1uA2VbQJkIdcsZnSON9aczKujX4Awn6oM05cdM2cWXJ2ciR6ghtWMbUANoBA+Is1bXD398kR2vUvaPY3FF8phLuTUAawilhvMoYYoijBg5S0QE5GBCB/jbE14b42lBvG+rtQNwS2CONovoIrIyAshSszKO6UtBcCZoquG4dNm0EzTXCvI4b13HzGm4pIuZUQLdO9lax7nWodwsZfELdF8ITu0R/CTAWfPoioFsjjNWQYZVUZHFxBheng6ICJSuG5OWQao3RVMPaNVqXJ5RpVFrBDetY5zY6cICMHUDju4HRHWB4Bx6uhQa22P4qZ85Q8jjeniYlWUKWQmQ80kIgdR7k4ix47u7ixy7gejquz6UMyyGpx3dzxnFhdv7Ckr8eBDucXpEfUDkCLQ6wdQHq8MBSENIQoDkVHN2KunZWfBXKViKmN9i5nZhtb+XBQXT8+JsHB3zvk1jfQaRnm7Vscp3lqAUmJV/ce+dfFM++/MU//3XdX/5fl/7iv139y+9d/d7Jz5//Td9Zh7/HDow4cAeQ4zy/z9r+WFkSnsCCgAtCXBAKglA+FspHR9Xjx+Un+9Ht9eFMdmZ9Y2rnkU0QJgVh+OjxjCA4BYEWhLgglAVhUxB2BWFXELYE4RkN+PJQ8F0XfpnGmrOUqkCa0qiRR+Q8LWK4FoxsguGWKK3J8l1JxrQclHrxhknibBfwlsb9stLxstp+0rj4usX9ptn5hsHx2q3F15SOUzL7c19Ov2B+8IrTcy7La2rxgTJjTUGGJK1NhnUMIWNIeWrFmOb0cUqVZw05Wp8m1ElEHoekEUjCAhIKllKYMorrWUxFIwoKVCz75JhPBEPNIF6Psx0w0+hl6pz0pRn8k3HwvRn4Yxd+kaAbYOQK6L3I+uti/uaYW5T0qvNgF49IEKjeC1/yYxeR4GUQur4UaPIE2h3ejpnF9qGJuoG7lxbmm2hExSF6FjAsLepcc0oq0JsgR2i8ewlTLVBi+Bs1ynbZEPlkQDThb7/jqL8zW+fwdlC4IYH2ZInBKje1FbGt01MVamw9NLpGDiZAM+FS4JCaZ7t43kKHDBxtTPLdFKqFXRJiUZmGujP+LmpGgU2K+UVtCjSlIXMa6YqBFs5njATMMdAS8enZeSU1L4NtbcB80zIgTTKdKaabCRo87hbQ1Z4ju4/jc8cx28HK1FZkrBTq5yEF4RYjTtGyT85DugiiYyANA6soVE0jChqR0ZCUAiUUKKMhJQNp0pQ5ReiTQWUW15ZJc5XqrgRNBVi5iZu2KUuNMq0R+gquWyNNFapzFTev4sZVxFyBOmuo9Sg0KvDjR+HhGtFdQUwFQJ2HVCVMXSIURUKexcVJuKMcUpQYZTmsKrPaUlhTpFU5XJZGpRVSvx60bKN9h8joEXRvDxzZhYZ20eEdemA7bK0yxiwhi2PtSVyUJWRZQpEmJVGqDcPr/Og1p/fykreOI0RMsN3pvNZ39z2D9Y2ukV9M2y+7PE1OVzsKq5cgMYBIlyCpB5CisJbDe4rh8Z24ay1sK5JTRWpik5vZWfl6mxvfCQ/vR0afrPQdRax7bPdepHeTs8Qp9Zjz6r8ZfvaG/J+ebfvb/3btL/7i1//1ezf+37/7zQ9+0vjce/oPhj3dk4GxGdIN5uPY7hpwtAUIj5cEATl6HP0zaVVBqApCWXicOtxGtnfAvX3X/pFTEBYEYUEQAEEA/1yaVgShJgjbgrAlCDXh+Blr4K0Z7AyI3WSD4nxYmw8ZU4iOA6Uc0c4xrUyoncMl6bB+levOUp2RoIphJQjXMIl+aHScUk6+JJ944cvpE0bHa1+5X7/lfk3jflXjff1L9wnd4kvmuVMTzve5UFs5Zi6EjQlUk2L1qaie4eQI274clVIRCcNKUlFtnjUnSW0MlcdQeRxTRVEt99RuOKhdxpQEqsAhBeFXYAEpgrQjZDPBtAKheid12c6cn6E/uYv/agB++zZwug/4+e3F1+/Mvz7reMcz/5F/5gJhb0v69DQig8FWL1QHBq+hwRsAWOfy1jt8TS6f2O5otdvbHLY2r72VgzQ5qj8d7Ecdesd9MeHqTJFjUXKQIC0oY0SiRpDpmoHkd/3t06BkFpK4QBkW1PFUZxrryREDa+yDMjuRDg6ng4O50HAK76P9OtqvSZCWysOR1dhQImShYS3mV/CoKYqYMsHeQrA/5TUzc8qIU1dE+zaIkQ3q3lZ4Yi00noJ6Il5j1GeK+g1xvz7q17A+JQ+q0pSlxA8W2eEU3scGVLGAtkoNPIl9vcdPVJmhLNXFw2rA1+r3tqB+CQWpGURLQRoa1DCQ9j8NtVBtFFFFYGUUUcUwTTyoT5GGNKlLEso0pszjhjJpKWPGPKSo4tqNkHGTNlVDhhKpLZCaXFCdRlQpVJWB1DlAW4bNNaJ7j+nfpbtrlKkSNGUC8kxAuoqqKoS6/GeR0CouLVCyHC3PhhXZsCLHqFYZdZnRVEL6NcK4hXYfQgNPoOFDaGgXHdzDB59ERg74gc2wuUAqEkhbDGpJIB3poKxEqwuckiWal5FGGmymfa0RoC0CtCzZrgzc+YWm+1Vd/1sDD86Mz12ZtdVjoBKFVQSmRSAVEJCjoIZDO9NEf5EezYVGc+TIKjO+GZ3eezi9FxnfZ4cP2MFjvv+Ate6Ge3a43iJpQP3tlgdnf6V59vVbP/6x+Hv/7fp/+eu6v3xR/NMT4pdOfHH6nc4LY8SM92EQ/jbGbn4XFR4RwiPgyb73Twfwo0fcsbAqCJt/hnNVEJKHu/Tunr+2BRweAoIACAIhCIwgMIKQEP7z8ZYg1ARhU3iyJRw+M+V/F8CuUHhrhFRmGV2a1EVABe1vZ7H2CNXB4+08KspQ2hJtKeCWOKKO00qWb3dhl4YdvzQ/eN04eUrz4KTO9orZ/brB97rS9+qXvlfV3pNG3yvmxVN99jdd/nMs1R4PyeK4Ik6pkys67qECi7Yj0RaYb8HZtmhUkQobo6SGw+U8roqSumjQyCFGBjQSqApD5TAqQxEFBioxSIoHxRjTgbLNfvqGk75iY85PhD+6Tb6lBE60OH/yuePZLxzPa+Zf6Jo7MTb75sLsGdBWj9k6liEFjkqXCTFNtlNoExKo93jqnb7mJb/IPt889aBh+v5Nx2Q94VJk8f7V0Bg8q54aaEJt+hwxnqXHk+wIz/Uvh7thqtMOq22QwoUqvbASQTXRkCUT7s/i1hwxsMrcy5DDNNhFI13R0ACL92A+FQ3qcqGeNX6wEu7LEl1RxLTs1yWC3fnQwCo5FPOZ4ImOpbstnENTxgd3yak9+msh5hK+8dSYBxmoNwFYklBnEjLEIF0c1qcJS5kb3oxObfIPyqGxNaJvgxw65CYOuYkS1hMDNMuAFA60e/1NfqAFhaTLmJpCtQSsoUAdAxsisD4K6+OwPglr06g+jesTQW0MVUcRRQyVR1EpD4pjfmUG0hYg7SqkLKLyUlBZxJU5XJHDFVlCkQ7KErA0GVQkEXkaVGQARQFWV1DNWlBTwZRV0lCAlauoeiNk3AgZ1wnd01tARDlMlCTF8ZAkzkhTYXmJ12zGjKuMtkLqN1HTHtRzCPUdogMHxMB+aEDghw5Y6zZrqYa1WVwcBZtjUFsKk26wxq24Jc8qc7SyROuzkDzlE6WANs7b6J27OP7gzO2x92/f/9g6dmbo7qeOmZugV4GDWgLR47CBgAy4X4v7VCygi+M9KaqvGB7dWHmwE32wz9875IaesANPwtYnXN8+Z91kupKwGvR3DDtv1I+8c7r3pz/68vv/z2/+yz82/s2vbr3+r+aPP7x97dq0ypkLx7Yr6b3t1J8eJYUj+vEuur+D7u/hh3sR4Tj/547OtiCUBIH/4yb4XdFe+Bbb26UEgRKEpCCkBCElCKuCsC4IO4KwIwg1QagdH20/3n/G4f0Ih6+zmChK6qKEMoLKKE874WnhUVGEELNwK+NvyZDqCtNVJi1pWBfHFXxYjOE3PYHzU/Mf2/xnx73vWxyv33K+onS+JHGdkHhekiy+oHO/fMt+0jz98rT7/eVgY4KWZhh1ElNnOUM2qY//Vk3HxSjbjDNNbLg9TmtYQrEclFC4lCbkFKrGA0rUrQIRqR8RedF2PyICQTECiTBCRLBiLNIKcA1e9sYCd22cPvsV9gtJ4GSj+1l54JQZefOrwOuGmZf6pt9yui7BzgbngxseRzOByONhXZLWRBDRsq8F9jR5vY0Lrqbp2fqhO5eG+y45JxrxRVkMtBSpe+CMYqa/CZvV5fCxEjNdjs3lYxMJbpgiuxDMCKM6EFEDkJJAtAnSkmf682R/PjRUYEaS5AABmjHQhCOdAGBAA1oG0qfwzhzemYL0CVAfRywcbEmgPXGkm3brPPdaJnuvuoYb4x7jJj2+j88JjFP4LSp8i+6yc5lAd8xnSoBmPqCJANo4bMiRvevcvZ2Vr3f5mS16ehMbOgjdEyLTR9x4Be+JgCrU2+FyNzo99R5fIwh24IicQtUMomMRI490xiB9EjLkYFMRMVcIS4nqymA6LiBhAx2Mv43ytjA+URLUFGBTETaUQHUJkWdBcczXzvvaErA0T6lKYV2Z1RfDhgKlzQaVWUSehWQ5RJpHJUVUuk4bV4OaMqHbZrt2w13bdOcWZdokDKWgtEhIM5Q0TcsStDQekmQZeYnX5GlNkdKWg/p12FRDunZx6wE9eMAObhPmLcpUY8w1zrDGqLK4OINJCqRiizcfZfq3v+nafti7G+krgqqosyXmbWI8N3DPTa/nxrjt4t25i3dnLg2MfDx05yOPvQN2yynQwGPdDNwJOOV+R8dyQBUlzEmqJ0cPrNIja/TwFj14QPcfhLqPGauwMri/0r/J9qZxPUNoFnCpcu7iy90//vsv/sd//fUzf3/jrz+49ebF3ss37yt02P2l71KZx7uFx4/ThweJ4wP6T1vL+9vMnx6xx/tpQSgLQkUQqoKwIwhVQYjt/B4ppGd/G0X+Y4093o8KwqoglAShKAgbgrAlCLt/hnNHeLJ9+OgZm/NDxH+Vgtu4oJoNyhhEQvlb6UBbBJfHSCUPd/CB1hSpKDHmMmlJQVoekdBE2zLRROCNYKCeZyVouOFu4L1bjpe/mHuuY/ZZmfNnSsdJg+uU2f7KbdtrrsCnkVBbhlFmaW0uqC8x5vVvrJVMbzquZegOnGikyEY2KF3GOnC8DaM6MEqMYWIMlBN+JRwU+4Md3mCrF20DwFYYbCWIdpoTY5FWhG2Fwy3+cPMMcbUP+NAQ+IUZ/qUV+3icujiGnutb/HDM/umSrxFwN9umrs3MXkdBSZo1FThTMqikvK1LizcXHHWzzpvTs/Vjo9fsE02UWxkFDUmkqxAaiQQ6kTlVzNdTIser3Nfb38yvx22rkftxuo8NmnFUi8JqBFLSuD5OWWK4OUP1pYheHunC/XrArfG71IBXiwJGAjKxkCmOGiOABl8UI/MS2KnyLiq9M+LZe02j1ksDnZ+O376yNNYecxlLyNAW/OCQtAuxgLDizvv7sQkZ+EC0bJezPk0MMqaDXQWir8rc2+Gm9tip3dCDXWL4kB57Eh7bDQ1Wyd4MZqADUsDdCgRa4EArBolpRMZiGh7VRzBjDDWnYWMeMZcQy3qwp0Zaq1R3GtEwbtGysxGx1SGO+gSk2uCG9lfu71D967ChBCmzPknU1RHxidOIapXSlxlDJaSvsKZVWl+ktHlCXQgq8kFpPigtEvJKSJ+F5FlIvkYYd7jeJ9H+o5W+bbpzndBUKE2FVpfCmhyjShLSJCHN0LIsrc6FtHlSmwvqi6i+SnTtMf2H3MA6rq+S+lrYuMUbNzhtOaQoUsoyo1kLaXdj3VXOWGVMFcIcc3Uwi/UxqAV2XELc1wB/g9NTvwS2o4jEMX99cvKcZ74NdMko0MSjPYTfuDArcs62LgdUUdySovqy1GAm2FcIWtcJ6y7Zu4ObBc4qxAb2owObkd4cbeZo/Qws+mzkvZ9o/+FvWv7y/770zI8++/6/md75bOCG3N45FvETtWLu+FHh6Cizv5862uf/9Af+cJd7tMMc7mQFYV0Q1gShJBxvCsKmcJR/tMmVs54Ub8/F/L8v0kc7OUEoCkJOEKqCsCkINUHYEoQdQdh9SuaE4z2/+zwONLOYisHlfFDGoyIekcRIVZRQ8ogkCosiWEcKV6URTTQgZyExgbYuEy0cI2IwaXJFQ3MdM/CZPs+batvPvpj+qcZxwuJ6fcj/83H/r+zARzheF6PEyaAyCavTsCGLmtbY/lp8ZDXSxRPS5WAzTTWxWPtysAUjm2CmGaCawWALjopZTIWSIoBoXSKavFiDF2wEwQaCaGG4NoJpJUJtXFgWYVUo3jHtvTbpv+TAb9qxhlmkYdrfOOlsnLA3zNjr7fP1C46b0466BW8TTSgz4c4UocXdrU77DdvidZunYXK2zjbbgvtUUVifDJqzZG821J8lB5JIb4EaXmPu1yJf7ybttdjXFXYsFep9mjSOoGoU1zK0mWU6KdzAoZ00ZPTOSxwzHUt22ZJdDi6qeLiXAiwMaOZREwNpYI/E5RDZbeLJ6bavLJ+qte9++eUvjLr3R29fdo220HOalKenCo5vIg/2SNs2PpVatKD3pcikCJuVxAFTgehbC49UmZFNZmyPnzrkpnapsUN69El4bJfor0DmAmTMIPo4ouVhNYcqeEwZCariuDoe1CYwfRw1xhFzBjSsopZ1zLqF9W0Rfetkbw7R8z45Zr8BTF/BHQ0lqktIzQnf2A5CQzWksxLQFPyajF+dQ/QlorNMmouoNgcqC4Q2F1TnCXWR0hYpdYFU5Ql5gVSUSG0aksV9kgygqBDGg+iAkBw+jPXtcF01xrzJGDZofZnSZAlZipRlGGUmpMoyuhSjixDqGKbJE8Ya3fOEHdjiLFucZYs3b7L6alhbodUVWl1mNGVSvcHpCyF1FtMk/HJ45gYwf42AG5bclwHvNb+v3rFY5/U2I5DI42lwum54XW0ooGRgEw12wi6dbbLN/qAF9Sh4pDNB9KXw/hTSX8AGaqGh/fDAPtV1xHYf8L1bXFc53MnBMvtig/LeR//ry+d+KP3//u7zv/pB41+9c+ukcrLObFPfge4BOSa+Xy0L+2tPjgr7+7GdTXpnjX1UY3b/wD6qJR/vrwrCmiBUjo+qTx5tHe9tPa6VttboYnIqSk6kmIW1b/Hd38ee7EcPH2UfHxYfH1UeH24Kx0/JrB3uPTO2+M6S5zwBtvC4isGVEVIRw6XRoCSCKxhUzoAdEaiDgpt4WBzxy1i/lIZFy1gbTbVFOSmPqyKMGsQapoEzE9C7XZ5XlbPP6+ZP3Ha9OYV8uERdwuk6jm6J4eIYKIsHVBGviner83D3BntvleqNoAoWb+OY1gjRwVLtRLgZYG66iOsL8HUAbKIQMYy3evEGV7DOidS5gOv+QB2GN9BsMxNq5UKiLK9be2jNhEyIr8Pvb10mZERIteBrn7A1j0+39d29aRk4NzZ5BQTaJ5zXRm1X7O4GltDEg1rY3WZ33LB762c8DXcmLtntbTSoW/YqWFCdJrsimDmB9aaC1lV6tMTcq0Wm9r+x1yIPKvRoNNjJBA0UrscIDUxpljkTxVkQSo8GtGhAuzDbbp9uhZ0qwCb3z0gjQDcP97GQhUWMBKz2ekSTM/XWu9d0t81uNhsAACAASURBVM9LtO80y05/Ln5Dqfyl1fypbaCRselLyL0tfGoDvb8VfLCNT1WR0XzAmg5YYj5TDrVucvf343PbK1M7/P3Dlakj/sFuaLiGW/eZ4S3CWvDpkh5VKqDNYKZCqCeOaZK4JkVoU4Q2FdSlgoYUZkqiphxoqGDd2+TgHj64gw/UyL5ysCsN66j5enyujveKNrhB4RvbAfugBvdugMYNwFwBjEXgaYRpdwXvLmPmCmrIQMoMLM8F1SVaXwnrS7S2SKmLlLrKmFYJbQZSJryydEC+TpsO4/1H3wwI6dEnsb5dprNGGtaCqhwqS5GKDKfN0uoMq4+xOoZSU0FVitBv0N1H4f69h9adaE+NN68xmnJIVaHV66xug9Nvsvrth5b1FXOFtSQgjXPyysTkR5P2jzy+Sx7v1YXFq6NjZwZGPh4aOzv24FOH65rX04ojagbrpAAL6NQvTEmcMyLELce9Og7uisH9Cai/GBzcZe8dr4wesda9kHmbMa/RxjSmdM1e191+54LmxLOffe/Hoh/8sP3vTih+9Nm9jyZgzTQ2aGfmue8Syf3y2vFe9clB/o/b+Hf5pVKG2K7Su7XYn7Yju39IH+5XBaEmHG8JB/vCzqHwB0E4qOxWnSlmLE5OfMvN/i6B1qrLOxv8di35x+3i/t768eGWIGwJj9cPd56xgxeXgDoGEyUIZYLSRXE1i8ifdtVpWMyiEg6TsqiEA8URSBJFpQwmIoIdXEiT5nu4oHoZEOO++iX/uSnvz287T1lcp/u879vgT0DyynLoJkc2xQlRAldEYDkHyhmXknWroqA2TqmjYSkTao+SkkxIkwClUUAcRaUxSs5RkuVgC4E10UQzGm7wkFdd5CUXfnnBf8nlvgQAl1Hsmh+9vEw05Vd0e9/2lSNaBmxg0BaOkrCU0u9vHb1/ydD7kbL7/S+tH/bNXHFhknF3/a17HxtHP56au+G0NzrtjS5XqysgmXG2jM/edHnacEhBAMoIZsgwvQmyO0FZ43hPmugvs+NbD2c2o1NFZiiNdzOQnghoUFiNETqU1OMhI0EZEFQDIyqPXwr6lYRPy3j07KKOcOhoj4kNmAifnoBMXo9ibLbZcu9yR+e7dZrTnylONcpflaje/Er//vjtK/iUogiNbFFzO+jcQchxyNgPWdthxLbHT28x92v0+A7/4GBl5snKohBxHXPzB+GpTWqwgnen/YYsZHwqgk3C+gJuKRGdBcyYBlWruL5M6bNBZQZVFgjjKtmdxTrLwa4a2bdHDu1ggxuwtYJYiqgxg2qj3vZEQLwWMh89vH/A3t+A+ledxrxNUfEaNiFrLThSw0crWF8J66pg3WvBnlXEmAXVSUiWCSrztKbEGEohQ4nUVSlzEdWm/DLe1c452+J+URFX1zjTYaTziO0+YHp2KcsGrlvF5XlKlg+ro6wqyqkjER1FK3BUzAflFda8w1t3Y9Yab1kPG9YYzdMRaC1i3It178es+/Heo1R/LdaTZww42H5n7AP57ZfN938+5Tw/MXvO3PdLkfaVzzUnLAO/mpm/4nfLYJ8SDehd8/LZyTavXY77DLBLg7k7GXAgjo3liIlNeuqQm3qyMn6wMnL0cKjCmAqMPkEo+0beP/P5P55u+YcXW/7+Ry3f/8nnP3hZ/mxd/5mv5qR9i+ZxZMrzEEn8/nfVo53CH38frfyOLheofy/GH/0hJxymjw9XhaPy0aO1x3s7wsGBcPhE2BGO/3B8vLt1uLn8f5LodxlP8RtPKY3++yq3s5Ha28vu7xYPdytP9taPDzePDtYf1Z6xAReekskHZZGgiseUHKpgYMVTMvmgPE6pYpQ8EVSmcW2O1qc5bYzVxjljmrdyqIYGxKjnhsd1ZsL99h3XG6PAr2aC55a5epZv4egmNtgSD4oTmDwGK6KQkg2oeFCVwHUpVhOPyniunafbk5QsiyiSkCKJyFO4KkHKeVzE4q1cqA3n6r2hS87QeS952QNd9HjPe30XPN6zTs8HKHQpGeqoxnXZsGgZvEajDRzR5gcax+YuaPre/fyrt+pNb35mPi0beq9v/qJl+oJ8+H3lnfdu3z03MXnVPtNgn2+edbXaXO2ziy0wqGBxAw1r+KAxw/SlaWsk2MmARg4wp/C+Mje2tjJR4kdz7ACLGEGfbMknQVA1iquxoHY5qFtGdXBAgQDKp5ZcmWBfFu2Lg70RqAdzajw2mdMhn5xrt9y9Kur68PKXr/1a+Vqz9vStrg8G+i+MD1xdmuhI+62b5Mwu7dhB5/ZI+z5tOwjPHUZs+5Gv9/jpg+jcbmTqYGXmKOI44ux79NQ6PlxEOlOAenlezLoVUVCXRI05sqtE9xap7hxmzqO6EmGohAxFXJNDlXlUk0cNadhQwbtrZN92sH8Tsm5CPetodyloziHaLKLIIooyadwKD27iw2sB65rXUvUY1gPmLaR/n5w4ZGcOualaaGgds1bRvjXUnIe1GVieCSoLIXUxpCuSumJQt0aaqpS5iOqjHgnjaIn5OnKooogrVzFZCVatIYZNvPPpBmmRVuUYVSysiLIqPqxcJqQg0ELD4gKlWw+b11hTlTNvsMZqWLvGaNYZ7RZv3I12bYbN25HOrVjnKqMt8uZ4WDcw+VHdrZ80W17o6H7pc8OJ28PvW4c+lNx61TLwq7Hp89NTjWNjN/vuXDV0fmruujg72UH4zSzcw4GDcXy8yDm2HnqOYu4D/us9bmyHG37yzUgt1ptnDQTUqut+84PmH5xu+cHPmn/wo6a//cf67/+k+Z/eUb7+a9PZz7obrc5B9LdkZrNUe7Jb2t2MrhW4SiFeq+aOdgvCUfk/mzrHO8LjJ8LTcyQIB8Lx3u6ftiLlb2O1MvcfleWN7+jN9egft1cfC6XjJ5Xjg7XjRxuPD9b/tFveWX9mNnDeG7jOklIGkzCwjEMVT2U3FCijIWkEV6QYXSykSBCqDKErhI25FVOC10doQ4QyRxANC8iWfU1+74Vpzzvjvp/b0I+B8PUI3xaPiGMhUQRpTyKyNKZ8SiaPq+KkNh3Wp1ZU8aiEX2mLcK0JRlQIqrKIIgur8qgmi6sSpDRKt/NsCxa57qXPLYTO+OnzIH4ZBC/5fZ8uLL7vcrzt9360jFxNhFtZ8iYYOI+ClxHg2pj9jHLo7cuGk2dvvXxG//LHt05c/uqkaOjttuF3O4bf/WLgV+bhT6ambnjmW52L7bPOtpnF1pnFVhBQEKgG9sswv4JDTRzaSYE6xKOAnQrCp40Fu9PMQJobSrH98bAVhzUorKJJHUVocURJQWoG0tCghkNNPGFJEL05arAcGs3gQzzQizgN0/c7rHfqDNaLmv4LHd0fXtO+9RvD25rbH8/OtSw5pJ6pDnpesxYc26bt25R9l5g/CDkOw/NHEcdxzLEf+XqXnz56aN/hH+xHvj7g53bD05vkvVKwLw0bogE56GhHXWIGUCVwU47pKTC9GdwShw2ruLFMmishQyVkWCW0RVRbQHRF1Lge6tkO9ddw69PAwi3CuoZbMpA6jymziLwY1FXw7lW4pwxYN5G+bax3F+/bJYYPqAdC1CWk3MLK3F5o/IC6v4H3lFBTDlHncFWB0q6GdEVSt4rr10OdO3z//0/Zm0Y3daV7n/Tq27f7fW/f+97uul3VdW/VqqSyMtAh0GF4mRZjCCRhKAIJmMTYhCk2djzFtoysAWtAko0nwBgMBjue8SRZ0zk5k3x0js7pcyxZtoSEhISMhBQrUuxYZcfGxt79gap633v7U++1P5xPe+8P57eeYT3P/0lQlS6dgOnNHTMU+ZEyD1LC63MdugKvURzBFQlGNcnKwzax3yryUGVum3CMLeesgmEoj4aLvBZRyFrhJ0QRmzzOKWKMNEaLEzZpkpFPM4o4JY9ZRWFKxEEFY7SE5yo0Dw5fUL0na94rbtxVqN58vy39fsvp4ivbr10/cvv+yeuNp2XqTy+V7LlQuFuqOPmwVcgjN330gzH8gY/qmBzVL/kJ4IZSttYoVhdEVBFKGWIUTkpkMmWrGw9kStd+LHh7/Te/++OF/+PNi//2fv7qfYKdJySfFtQW3DU1MwE2nIrOgtlQapKPBsaSkdDiTBysxMDyFABzACwA8Fcs/7pW5ufnptzRgGc65v/lZ9dcauzPKd+LpTgAcQAmwXx8aS6xOJeYn4nMRFf1GNP6dRkkVkiY80lz4V/IRMUkJCQhAYsJeYvQTgocWNkYJnJZJE5KxJBlw5hgGC63I6IxTDKGlzFYjhFO64GPDuInIeocgV60WwtdRIkbEfgxUZCocCPldrPAYS1301IvU+FkhIwtl6IvslSWg7rkJUu8eIkXLfVhQo+l1EkVcMwlmruAjHwxaPu0jzkMcWmELYMmzg3DGZD+s6HefYP9B/sGPjVB6SYkXWs62a9Pa+n89Or9j85rNn8sWbtPtmmfcusBxcZjyg2Zmk2ZtTsv3dz/bePB2pZ0o75kGJbARpHJLNabJVp9GWwW45AYNpQhBhEJyyhEOWyUwINlxt5iuF9ImmQMpmYIDYWrXWwda1XxlGqM1ditCg6V2CGp3SQZQ1QOXE2ZKyiz3IXVBMgGN9YAD8h7WsqvX8++rPjs68v7c2QHC9RHzlfs+0q2r+r6F8ZBEaWT4Z1Cl1aTsLSkrN0pa+8yowO8DtgHgWsAOHtS3INJ+s4U15ziHqTYlhTzIGltihI3g1iVG5PxSJlJV2TUFqKGEgaRjllUbkI9hirsUEWYUE3g8ohFHqPkE4TYZxZ4jCV+c3kYq4hb1AlcE0dVSVwzY62JWVRes9AHl7igIh8mnMDlAUgdMlfG4KoEWjlFVCbQmiTaAPhu4DeA0Z4l6sEK9d2UpSaCKgOQyI+JQqQkZJGGCVmUkCfpqrmRG1NUlccgdAwUeiFBgBD5MIEdKuRNpS5IErSooow6wlSEKHGALPdZS4OMOOKQB+0VY5RwzCLwkCK3pdyNCyeYiviIcpKtSLAVM7ximlMmaVnCJgsRggBZNmzOJdDiQTiv+OberJpNwqZd8uYD8oYDN++d1NQeKSjfIdMcrKo7Jqs8dll2uFh6uKr6nLZH7iDu+ZiugK0rxA5MjAzFXd8v+IeXvcgM1+1HajitmNIXUkgxghQMYbnthnPSewdPXd2wueD3b5397fpv3vpYvPPU1ePC20UP0VbGQzifOXxxfzD5lAw4kMcjzkQ48nI2CZZjYDEFwBIAK2BlBbz892i+XJyb9j33OaJB9/SP/hfzwcXlyMpfUrJTYD6xNJOcn07MJiPJ0Kp+4+mHg+k4nIeY84ZNBQws4FAJg0hpWEIjIhIVEnARTRTzeJkLl7pJqZ0UUpbiYayYRAVOXOSn5GFO5WWFFJVlspw2EukwcRbSn3ESxRNURZRUxK2aOK0OWCQuQuiwlntsFQFGPkaXE3iWEUqHoXQSOcNTWQ7qkpPMcZI5PJXFMueHuQyEP4XY0wa5I338EchxgubPOJlsN53jwC/Auk+1/Z+2dX/aozulxc4ZyUsP4QvXWo8XXv/w6JWN2y6/v61i+3blzg+ubv+Tauvnqk1ptdsz6nbnNRy83X2RxuVOSyWDqVmyhqHrUFQBm6SwUYQYRKhRPAzJhyE5ZZIOG8SEXjRsEFNmOQkrUEgBGSsoTMEQKidd6aI0Y7jCjStfKaN7kUonqoJ0QtgoYfEqB16PGzR37xddrTwvUqZ/c/noieztp/J3fnPl0Hnxh1+W7tRUf6HtLGW0cpdWk8DvzTO9i6wOOGAw/j1wwcBlAOP9S47OJN00QdwIkw1xW1Pc1hSzNEygdV5I40IUdkTCoOU4VAobShB9MWUW8qjMickdiNyByIO40odK/ZgkSEjccCk9cGm49yI9cInX53vMpUGkfAKRRLCKCCH1I0KHocgJ5fLGbCda6LWIXWiF0yRxmcQ+qNwHl3mNYp9embI2gUcDYKRzFm2cx+/NUTfjWGUQlgYxUQAXBzHRBCqN4IqktXqKqkkSlWGzLGASB5HyEC7y42UeUugmJG5c7iUUXkLqtwgDhDBEikJWQYyRTjvVCacqYJN4SKGbFDkwgQMt9lGiCVYSZaXJEcW8s3p+tGqaVU/SFRPW8glOyuLFMFrSrs/+9vqe89Ub0yreuqTZJLr+4dX6I8rqo1dUR4sl+wslH4qUR69Wp3e2C+yWu7HxoUmXMTQy4KY6467vE4+IpMeS8hDLj4kFtyFM32H0FaihwGjMv9uf0aTLuK3LENz7KE214YPydzbnvLXz2w1f1aTJ2oV9WIv3qS0QHR+L2MfCLubJSP8IbnrMB35JJsDiFFiOL7+cB2Dlbx7sf1hLqXA8SAccbDTg+/NUeOllFIAVAJYBmAdzM4vJ6bl4ciYajvlWGc3nhvRnSCyfxYsJYz5lLmERMYNUMEgFjVUMI2WIqRCHCzhM4LUqAozSZROxVBFNFnFEiRMvCzGKmL3Sb5eyTAFKXUDJ8zhxgTZnB2lJkq+eZmpm2PpprjrMKvyMaMxW5rFJA4zcZRPhWHaP/vhD3dEh42eENZ2kMyjbaZw+hdBpCJuGcqcg9uQQe7yLOdjFfaLnj5FshpPJ8dnyPWQODZ/BTWeHBk4bzRdJWwk7KjXZymu6zn2p2rWj7P11376/7vK2teVbtlzZcki99bBqw/HqrYevbjpbs/d290UaV9rxSgZWM3g1TdbisHJooHywt2Sop0TfW2rqL4MHxZRRRpvknFnBmBWMWUFDKsKkRIxy0iRjEdWYpXIMUzpgmR9TR6naKFEbQKtdeJVJL4RhGYIoe/rKr9/Lz7ny2dnSQ0e/3vFxxoYPTr534sJW4ZUToorPLn27v6n+vLFV4NFXTVkeAPsgGDUChxk8sgD/MPATYFy/wHXM2O5FiXofWuXFql2IygOrXEalQyfjdRLeLOFQCYuJeKKCx6QsIrYjkjG0YgyVO+AK1ix+pQHtgoVuvNwOFRMDF9H+s8O6i4T2AmO85ITyXUjxmLmQ1ecQfedNXZm4NsPUfwo1nuPwQhouxg15lCmXR/NcliIHXML0F/uMsgW2cZ5umEbrl6z3wEhziqqP4cqIRR62SEOYNIzJJwlNkqhM4popojJFVE0R6hhREbZIgpbyACX2kRI3Lh/DJE5E4EKKg3hpzCqJ0eI4I52xK+Ocwm8RurAyFyG0owLamOuAizyW0glaFB+Rz45Xz43WTPOaqE0e4eSBERlFlJqQ0iGstKEn49vre05I3johfCdPseNq3bGH3SWDfcJr9Wc0dZn37xd2dZTbLXcTXnN03OBn+n22Pg/VE3dhCS8Z9wzHxpFp1/ezrqEJpok2yXFY2KnLKW3cn1m9JbN6yyHJOwfE76Zd235UvP2wZK+6t5xwD07EHPGfHvsiTtdzh/u5h3rMdXHfo0/HYmD+b6UCc2B5BayA5UWwPA/+g9lcnptNxexPRvin4674RDA1FV9cfIXswlIiNRuemQmnpp5P/uBbBZsvwKYsnix20gLCmE9DpSwspSEZhchpTEYg5bC50GTMoRGBh5R7GZmTETJUAW3JofFsHi3yUpIQpxxjxSRdgFM5OHlpmMhx4AURTp4aqU0x9bPsjWl7bZRXeFkhzxQyliIWLyaJgn4o/fbA/ob+Pa2GAxB2AqHTYPaYlj40SB002o4i7Be4LaOPOtJq3d9m2z/IHSWYTBeT56eLPXjeGJ7rJorsSJEDL3EyEueo0kTLrrZfOHBl66Zv319TtPGtok2v5a95X7jugHrTx+q1x2q2HlCs/6p6z93ebApT8EjlsF5uHJAiRiWkr9D2lfV1FDxszet6kNPTVjDUIyAGJKS2gtZJyUExMSAZ1stpcyUD1dghjR3SuNBKD6bxwCo/Vhkhb4Qt9UGsbgyrHNQJHxrLGrryvlF9+mXZgd0XN+9If3/1J3/Yk/ZeVv4BufTU/fq8zoaizjtfjWFfxTwfzD7fsvLz/wVSa8DcHwFY9d/2L68v/fz2wtSbs/E1Mf9eH39inDpD68tprZAZKGN05Tws5XE5T8p9VGWQrg5SmqBFFSCUPotyDK1gjUK7WcSbyhyI0GUROfEyGsmj0ByWyBuGs4ahiwyczaE5jDkLGcjUdqUNdp7s6z12v/1AV/9RBDkPwRf7tKe1+nQUy3SwuXaygNBe4rTFCapyxlozhVev8M1gvHORaUyQVXGrKkoqJvCKVwYziVXN4NVzRO28pWaOrJq2KhO0Im6TRW2SCUrms8jdRMUYKvAgRRO4IEmK47QkYZNNc8oErQhi5V6s3GMRuywi1pjnQAo8ltKwTRwfkSfsqjivnmSVIZs8wMgc1nISL9WaigfNgk5Drqhh/ynxOyfK3kkv3aCsOTEMV7J4w9CACkduMHgjrKseo76LuYxuuseBdwQ5XYjXhR1Q3DM8+ZiMjSNhXhegv3NgNbipAkZELdqcL9Vbtnz7+20lf3g/7ze7L7/1VcOHZzWHvlQfbbHciEyNzb6IJKYCzqecO+p0P/cQXq6ZNveM046ZWPjlQmIFTK+AebACwApYWgAv5wBYAuAleLkAXiyAlUUwlwSp54EnvMvPOby8L+yfmZsBi78sv5ianXka/9GVjHtSicDUD49XIcaLqCmLwQt4ouhVnMlhMhqSkbCMQiv+RiYFl47h0jGrmKOKKDJ7GD83jJwhoewxi8Bjq7DTIsKaj1pzUUsOjl6yY4UTjHyKrUlaq2dsdVMjVROc1GUrIqiLRlNm/+DpLu0XjQMHlV2br/ZsbNDvMiLHIesJPXOki97XZd07RB0mbOk0df4hfaSVOtDGfKIfOcHYL/hHSsOM0IcXebG8iK08bBH5iLIxQshYxT3mkuJbp/Zd2bKpdP26ok1vFrz/u+y3115+98C19fuvvXu0btvHyg1Z1w+06wo5Qj2GVhMD0s4HhZ0dJX1dZQ/bitqbc5obzzXUZzY1nOt6kGfqEqC95UiP0NReom8vRntErKHKjtx0mCs5vcJp1gTwmiBRG8JrJ4i6IF7vMVcyZkVLd/7NzqyC2uM7s9ZtPrt2Tfqad/702uojrwkV6Q6L8Nn4yenoeyvL/9O/g/D/z/7lz7/64el/9fFfOFCZw6LkSeUr8ehJW13EWhkmNRFaE7AqxzCJHRI7YMkYLnVREoe1jLEU0dZ8zlZAEhcR+AwBn2WILBa/hBrPmLQZsP5MV++R2617W3sP6pHMfnPG3Z6jd3s/6TEdJsgMmryIG7McpqJpvnKGqZpEVfN0AxhtW7DdilsqYxZVxCKfQKVRTJG0Vidg9QxaNYfVpFDNDKaaJhUzjHpmRD3Fy2OMIkwrA1a5nxAF8dIIXpqwiOJ0RZKRp1jNtE0VtVRMkBUTjCJoU7pxgc9aFuak8VFl0qGc5BURmzxMy10WEY8LhtEixioe1Bc2dZxvaM3IkW05r9xQeG33JemuazczcKgK0ldptRqWanZQD7T9Ghq+G3EafeyAnxtMuJGwXR8ZRZKPqZkQN+UnA+yAHb41bFCgRilKSFuN+Wmabe9/+2/bL/9xW8nrH5S/m3H9w0u1xzKvHb+P33THuImEN/SD1xHkXVGnP+5ngs67lLGBhqCQ152amny5PPM3F3blJViZ/4tP+yIF/vwzmPsZ/DgBfgpF/ZzPTbIc5nk0sjiTAC9+Xp6NTifckWfM5LORqeee5DPXKgrOHYazSeQSgV4izAU8JmbRCspcwaFKCpUi5hIELkahXNxYSJpFHF7OEnk4dhrBThHkGRLJZol8lix9NeQPQvNg/BJC5vC4IMyo45bqSZMqiWj8iHDYnEVYLppMpxoGDnzbvSGr5+283j8Ke96U9a27qt2uxY4OM+mMLYPET1JEGkWl48wXkC2tnT3Uzh7q4T7Vj6TRoxfd9kI/VepHiyeg4hhZEiXzg1guO3BO25l5tys9r373x+INOy+v2y/btqn0vbeyf79Z8PYHsvc+qdlwrHHHsZqtxXeOaiEhQ2gooxIflPe1ljTdzr2myehpKtS2COqrM2ur0+/eOn//5pn+lgJ9R8lQe3FnU057Y7appdTRrwyabkTg+hBU6zNVevXKgEkzgdZ58Xo7VsOj1f29gsuVR7+S7vq4cP27Z97cmL1hX+m+r1Tv6oh/TqX+6d8xtvS/g5/fXX722bI3Z3FEPMeJXo7Wg0cUeMKBgB248Z9sNXEu50f7N8H/55RvfHM8+sbsz7/+709YXv67n+PvPH90NElVpqj6RWvdPFE5S2imrZVhq8qDy52YhIOEDCzkiDIKL4HMF/SmsyY4s09/vGvwqB46BaOZetMpFDnLkZcI85m23v019zbXtO5o1h1q0h3UdO/UdG+/Pri72fihETnOIGcdSK7fKonZ1NPWyjlcM081zTO3Zum6OKkMo9IwIoshmjhaM4vXzsCVC2jNsqU2hSuThCxpUyZ4ZZhXRmhZnJQnLfIIJg7CpRG8LGWTpUbkSUYetcomSPmEVRWilSGbPMjIfJQo5lBNjVdNjVdNu6onR9VhXh4ZUdgJIWouau08e6X6gOb6RyL17q8vbzgv3Jan2KVsOF6qPtjUlmsyqQf7lIO9lW66JzSqczPdXq5/YtQY4HUBTh93WyadeNhlmQoyqWfsctyRfEyQSCNi0gyjyodmobg5fXfZe+9++7vf5vzD+5f/7U+aTRm1H16oO35YfDCnPq/Z1Dzswj2RMW/YNfFDIDoTcsTcUIDXBpxw9Kljeiqy+DL177OxYOkX8GIG/DkJEhEQ9YKwc/HpSNSFBEZhzwjkGoFTz8fBbAQsJRcS/liACbi/9zoMMQ+1ykMKHHgBh+ezRB6DldjJchYRUyYxh8hYWEpCAhoRkOYCwlA8bBDSUBmF5qHIWRjJQPHzDJ7Hk8UsWTqMFaNwIQoXkFg+bcn3WssmWWUILnf05LDdWXDXFw97jgwaj/ebj9UO7CvoXn+h+52cnjeKe94QD6yR6zb2oEeGuQyOu0iSZwniLG49D1Hnk43qpQAAIABJREFUTPSZFvJQF3NMa08zjaTjtgySOMeaz/Ha8y5ddgDN86NZHjgL787svJ9Wc+/EBdWO48rt+ys2f6zesVn4/uq817dcXr3n6rr9dRuONuz8vGbH5eYTJlzmZOoZrHLYrDJqJQ13suXqtPs3L/U1F9+tz7rbkNV1J6f9VlZfc76+rUTfVtJ5+9L9+nM9t3LwljKuRxaEa0LEjSBR6zIr3CaFB63ikUqTTtLWll/TkPm1dP/xkq1bvn73v2a9VtP7xvPE//o3lpYW/unPke2LvhIQwkHYAVwYGDECmwFQQ8vkEOAg4LKAR9SKg5hnB8PmhoChagKudegUUGch2ldM64VjuOKx/atwYGtq+t/+duzK0n9aiG2bdRROW1RJi3zSKo9Q8pC1wk2I7HApB5ewaCmNFsOmrMHB0z39aa09h263fdjWe1hrTNMaTsLQaQI7a9SdbHiws6F1z+3uAzd7P1S277jSvknes0Xdv+26fneX8ZBJdwLtz+CNeV5EOIFIErA8hlVFMM0ELg/gYj8mCmHSMKKKwuoEpp5ClfNk1YK1copQJqyKJKua5FQRXh2h/jInO0ZIIxbRJCWeZqRJTppkFVOcOsFVxdnqKKOO2BQTjDzEViSdldOu6qRDPTWqmRmvijvUUV7hp6WEqaih6eRXJWsyi97+Mv+NtLy3M8s2SWuOqG+mXb1+qrOnjIDqhwYqh/prfezAQoRO+vGkH596TIRGjGHH97MBdsbLRNzkzNORuQg/F+FD42YKb+aoJgfXcLsn70vZ3n3l67cJ3/2nM3/3TuG/Zl7/RNmXe6WlMF2RflZ18VpPDe6EfdGxQOxxbCocnZ/0zIS5RIj5KTw2Oz2xuDi9Ahb/Xb5nHvwyDX75EaRiIOYDT/n5R8Ssh5h+hEyOQ16m32ntnX5iA9N+MPd88Qd3xIv7nfqAUz8ToFdFGJHHWsLh+SyRzxKFDovQjgo5U7kTqnDCEh4S2uEyzlzMQ0LeLOFhMQ0XE9AlyHzBaLxAQJeG0YJhrBhFi3CkiMVLXWSZz1oWtUkmOYkbyUN7T/V3HLrfuqexfXuLdl8zdECt3VnYsymre+03vW+X9r4pHlitNKzrRA+bbOm47RyCncGJLJzMg8hcvSW3BT7aY/msn0p7SHzaZTzUN3gEHjhBDaY79ec98AUXcsFhugh3ZTbfSZNd/zRTtuPw1W37FZs/ubZrR8XGtSVvbSxfve3qe9uurf1Ys/lPqq051w926kooshKGZSazzAhJO/sEN29ndTYXDLYIupoKtS0CtF083FaOdpQz/XJeqyK6xEPNRdo7BcbmYvRBCd0vckAqB6JkDVIHpHBbq1FI1th+qVD5yVfCPccKtmRcWauz/peFxf/hFTnTqb83Yn8c6P6S76uLQN+BRySIPwZJPwjZgZsEDgw4cODAgQMDo/iK/ft52jxt6Z4w1Ad1lWGozqNTMX0iXidyo0oPoXbAMsYgspukPrT8x7G0Fz+98zdEF2f/z/ijz7x4iRcv8RGlDqSAM+UzpjwOKuKREhopgHUX+3vTm1sP1tze3XB/X3vfp10Dnz4cPNbee6jx/u67rQf6tSe1SHrjwEFxyxZp1xa1YZfGtLPKsKtJt7+r7yDUf9IJ5QYt4glCEkalXrjCBYnscCmPC9ykyEdKQpgsBMmCiDCKS5KUIkkpJq3ySUYV5zUTjCLIqsK0MkrIY4Q8QlZMWMURWhxnxBNUWYyRJkc0Sb5yktHEbOqYTRnnVFFesfj4xoq/YdZRmWQVKbtmbrQqOaIKswoWLb3f8sX5sjVfffv2+dJ3s4QbCxT7SmWHahoyH/YI9QMK1FALa2/yeNtswLYU5VJBaiU6shyxx8bxuJtcCDnmnvABHvMyZj9vDIzCvLUHgZpoaxNN3ehHFV9dPfiJeNtu8frfnfvVu9+8nllz7D5SZbR23tc3thiaIGbAGSTtIZoP8pGZaHgpFZif9sz/7F9ZiAEw+5eULFhZfglevvyLtXzxI1hJgLkJ8Mw+P47MOb9feoQterDZcWOU7feRnYlRA3g+An4cTwXI0KguONobfaSbezq8KsyJ3dYSBs+jLPkUmsMTJWOY0INIvHCFD5K6IZEHLh9DxD6LMkhpfKTKiYsopBgy5Gq1WZDuImLOQ9FCHCsm8VKHRei3CIN4qZcUuMkiAs58qDvcNLCnpmfr1a5N1/q2qbUbpb2bSrs2fdu9QdC79kr/GrVuTa15/UPsyJDlsyEkzWg6TRJ5nE1IWARGpGAQzRzETnfBnzUNHmjo2t3SuVfff2RYf4o3nePhcwx0htCd1bZn3m5MF1Qf+VK6e49k/W7ZxkN1ew/X79sp27hFtm6LZv2m6vcPa7Z9rt554dr++vYLWrNkCJLqUamRkBkxZd+gENLKyEEV0aukBzT2gSrPQI1bVx2CGmN4cxi/5zXV8wNKqkOM3C+mtSK7WW6HFYxRaocVLKJo684rrT5y9srei4r/G2L+5W+o8J7/UtP5TnrB3m+Fx7QPxAlLF/CSIOYBP/rB1FMQ9YAnI+AxAwIj4DEHHlHASazwMOC+X6QHEsi9GHRzEm4Imep8psogVpXgGifIWjekdBplPpMyCCnjWNWs9UZypGA2tml56X95delc6lde/iOnOYs3ZfHGbN6YYzflu+BSFybkzMXEYI6+P7Ot7dPWrmODhvQhU3qf/nh77ydNrbub7x8c0mWgluwuKK2qd6+0f/sVww6RfpPSsLNGt7ul/wBuTg/zwpRTE+dUE2SFCxXZUQGDFTHWYp4qc5MiHy4JwlIPVhwgy16pFgQocZRXxeyVAVrhIeVhSp2gKmMWRZCQ+IgyD1bsQQtcSGGIFMY5VZKvnOI0U3+ZnKmM2OTz7nrgv7Ngr4mTsila+ar+NmKT06bCpgcnvhau/bpsTU75ujzp1m8q9lwo2ldTfx431Dxsl/Z1KIcNTQFOn3rCxN34hN28+IwHP7inH9PTj5mlZ+PLYVeIx2lzFwW3uTn9GDvE070s8x1uuUna717rKspQHzxcsXNn6br137ybrkkzct2hkDsUcvueOrwhxvHUMjQyMOSA/VPhKADRv2o3z/0HJ/blAlicAYsJ8CIKUr6FABmiuuOMbtljAU9t4BGeGtVP23WJkb7ESN+c2zDvgSf4bjfd7Btpjrg7Y4/6V7k4kZ0WsFSJgxWyWMGr+TYTuNxvlvpMkiAsncDlflwVoasm2eoJm8pNVDCwEDUXQaYCFMolsIJhrBhHCofRAp4ocaKFDnMOhebpTWfvag+r+7df6dtY3LW2oP29wo51xe1vCtrWiNo3yju3KLs3qHvW1fava9Ru1KKHIOw4gnwxjJwbo0o8jJjFBYg+H8dzTOj5h6aTTf0fNXbvud+9v6/vkGngOG44DRtODQ2e7Oo82frg9PXG0wXqI59Ldm8Tvrf9yvrD9Xsz7h89Vr9vj2bznrqtOxu2H7+2O/3avvOaA5p7Gf16oQmrgC2KIVw8hEn79UJEL+PNVV78VtByz2e44dfVR5CmONY8Y+2cY3rn2O6EpdlrqGa7JU693GnWOCANZ1QOD0q13aVVtzKLqz8w0v8tDmw3//22M//6edGOQtVRsfTE9cpzVLc6ZesHQR7EPCDiAj8GwA9+EHGB5x4QfwzC4+AJBx5Rrywn4PTz1o5pojmJ3Z1EmxLknTmuedbREiFv+JGqEFIdwaqjaHUCq53Ca0KY1IMKx8lvI6G9iy/+4dUDUj/99gl33IPme+FCt6nYYy71IiIXLOQNxaQhb6jvzMPedK3hjBE6YzR/YTSmmQyf9Tw4PtSXQeI5BJ3bhpxUa3dfHtj87cA6sW6bWrfjpnaPHvrMy+THePGr5kwvJRmziniqjKdKOavAgQnG0DIfKvZYS7y0wGcrc5HFLrI0xCkmeJWblLpxeYhQTZLqBFUZtyknqAoPVswbs8fgggBZNsnKp3lNiq+a5aqmbeqEVRGySidpeYqvnKGVMUycsMoXnXUrnoa4oxIazJbV7juW/1pa0evny9Zkibdeku45dnarQHqyp03Seqcc6q2dYHWzT+jZADsxYvTSAwtBHiT9i8+cqSfcjJ+dC9gnRjAe67Vbuj28IeD8PuInAx6YtrXyrm6cvVffWyxtOZOu3rfmwjuX6i9Snu9TPyVnpxLBZ56xJ4w9OGxyGtAnTBzM/rVpCyz81Vr+taBgHvzyM5ifAos/gilP6gkeYrrHzE0TVP/iIwsI8cseS5wZiNDdk3zv5EhP1NYyybcFrHfHLPUuW63P3uAbaVqlx/NQopCjyzwjcrel3IuVT+AVEVQZ0It9BnEYU4ZJjY/QBKzqkE3mt0qcaBkDC2i0hCaKabKIJotILB+FLg3D2SyR9yo1b7RkN+uPX+neWdix7uuOdzJb3/yq7a3zHe8Wdr4t7nq/qnNbTcc2TetGect7mgdra1o2PNQeQJATLHHeacnzWEucWMmwLsfUc86oPavVZzw0pLUZjrXqj3RqP+3qP9LZc7iv/1Rn/2ctXcca7h9tbjtzuy27oPrY51d2bRKueb9s9c6rmzOaDn9+fe9Oxfo91Vs/uLn982u706/ty6s93NiRBcMy2qqh6Uo9JtYTkocDxQ+7ipFeUYBsTI50TlruJfB7M9bWGWvbnLVriekHI0NL/MCMtTWK3vIZazxQrdNUSw4oe+4VaTSnG77b9HPq718hYWT+5/cz/suv9vzTuuOvZRTtuVqdXq85+/B2qb2/NgK3rNi/B8ERELSDsAvEvOCHx+DHAEj4QWQcPOGA1wbGLcCOLLMD81TnLNmWsnyXojqWRrrAeM8s+yCG18fw+mn6zhTdECfrJ/HqMKy2GwSUvhA35eForoW4+MS79cXCf3r1mJ8mNgfxb/1QWcBcHoSlfljihkScsQQdzB3sPdvTl/5w4NTg4CnIcIqCMljtJXLgImXKwrGLnaYTNf175drtMuNWsW7bVeOuGtOeZuN+rf4orkt3QrkTjDzEKQKMzM9IvLRoDC/joRIHVObDKrysyMeJPZyQo4pYIt9tE/ltFS683IfJg7Ashijn2TrwqGnZ25iwq/x4afhVbxcpniDKI4RkilbO2jSzNk2cU0VIaYyQxglpBCmPk7KZkcpJTuVlZI3NJy5c2XSo4LWM8jUFV7dL645UNZ6BTLUeriP1BIk7DUkntOAnl59y80EmOgpP8BCIukBqAvzgmfLanJYBB9HvZw2BEUPYaXaxgy7OGH/KRYO0ne/nR/t4ZxdM3RgilZfvpO0sWH+1R8Q9HY7Fo6nUdCweiSSC0VTQ8YNz7KdAEiy9qsJb+v9W4c3/DH6ZBi9/BstT4MexuNscsw9M2XUh28D0KLzsJcFjMsb0jsF3vNZ7Ptu9IHkzwtwNs00B7qabrfQ5aidcd1bVdJ1s7z9DIcV+q9SHVXhM5UFzRdis8OskPmNFiNCEyEo3VuVExU6syIkXONBiDi5msQK7tZCmChlrIYPnkvAFGs9mmTyCzTXSF7ss6dcG91/u2JjXufZC+9tftb9xvvOtrJ7VAt0GtW5H48De2927rrVuVN7foLm/+fqDXV39R2DoNEfkOInCMbyYMeQaOzMe3j/R1X7iYV/aoCH9IXyqCz7ZaTrRqT/RNXC8c+B0y+Cpu31p9W0n2gfzHxrLRbe/OHV1zxbx2ncK//h+2eovb354onb3lsurN1es3abakFazN0OzV3jruN4scnM3ffYG3+gthqrErQqTsexhe762rciF1cZHvoszD+ZHOueZzkVb9yLVs0j1L9EDy7b+ZbZ/heubtLZOkK1u9O5wf1Xn/W94x+uvMBgN/Oddef/y6yO/eeP477ZlrD5+aWtW0Yfqq6fbGgqHO5Uh6G4M/W6BGQJ+FgQ48NQOYm7wgxck/CDmAUEePOGAnwVuEvDmBbp3lmybs3UtsH0rdh0YHQCjXVPknUm8PmVrWnQ8SHFNSduNSVv9hKWKN4tIfbFJm63XZZkMF1BTlg35+oeJjX8NPn81yZ+bxBQxXBkllGFC4ccVY5iENBUb9dl63TmjNgPRnib1GT5jiVOXS2svmvrT73YcqO3adU27q8a0S6nboYR3KeFdVYYdt3t297R/Qg6cDVpFQUbmt0qCFnEIF3khAa8rshsEDkTkZSq8nNQzIuFtJSSea7cU+2mx3yqJkqooIksiiiXuBvA8AJ6m5IgmbJHEGGmckUas5UFUMIGWJazyWZtmjqmcclQlWdUcX7XAVyWs8ldpJCcm6Ow+e0GyYX/B6we+ff3rq5sFNftq7p/pHBSGHg+BmREw7QRh24wbnvMSS0/p5afMzCNLchxbDo8sP3MsPh1JuocZuIM0tU6MGhOPsemQxTuiczK6oHvYO4rxrJ6wtg1bm1GyHrYqr/dcOFGxu1Yndf1A+yKB1OzMzJ9/np2fmVma8k0F3alw8OVMAoDZv5L538G5DMASAPMAzIOVafCjK+nFpsbheff3Uw7znAtZ8RLgKTXjGPDit9zkDQ6t5E0KJ6pxW6t9I3Vehyboqpn0311V2vjh9fvHicEcPyxyGyT2PoF3UBw2KgL6ioBZESQqPYTKiWoYk4AxZzuwnDGikEcLWDyXt2aTdAFnK7CTeTyexVuzuZF8xJ7TxZytNXwo7doiaH+/tHt9XuearM43c3reyul7p9C4WW3Y3aT98G7vnpudO2o7dzb1fNLZd3JQdxqGLlJoHoMWOjABYyrQd2R2Nh3TdqWZdJkQcm4QO90FpbWb0rpM6f3mM52Gc52msy36M429p4fQcoTSyFvPnNLs2Xd1y+qiN9aVvpnZ+FHmzf3by1ZvEq5eL11zVL3jqHTz5etHUVTm42/52YaA/dYYU0uQsmFEigyWIb3lbrx2gr4TxG9MsQ9mba0LdNci1btA9MxAnTNw2zzZBbjBKNkWIL5zIg+c1vK52f8NgFWLS//jbe0f1p7b+I8Hf/PPH/9qfcabX0sP1Fw/21if/bC5jOqr9JrvpJjeBU4HRr8HfgYEefB8DPzgBonHIOkDkTHwhAXBERBygMcMGIHmqZ4U1bHI9QPHEHCZgXNwgftuirg5RdxcHGkBrrbZkTsJriFhvxXh6v20hsfEiD5fP3DROHgRNV6i0UKeKHlMpy3M/uoVnwvPDkxRNXGrJkqqghZNgNI4LRU0WkLC+bjxAtJ3Gu1NDxhLQojAjxaTunOdPUfvD3xy2/DhNf2uq9rtMvMOKbJdad7eOLC7s+MjtDfdg5S4MKHLXOo1lAT0JZ7+IrYnn+wrpPUCl7XCw8p8DrmTKyPxHA7PD9DlMU4+Y6uZtmjmLJUrTP0CVx8l5B5z6ZihyI8WRynRNCef4VUpTjXLVaZsqgQhizLKudFa8LQFBB4sjNalRmsnHVUsWqq+dfhAzuvrL/5md9HrmVc35ml2X2vOHDTKvY/6wTSfCuExx2DI1jvnxcAz20KAXHhim3YTyXHMQ/VPjBhnvHSQN0edWPwJHntsjj+BfaNDY+wQRxsQuHsY7yWtXQ6+Z9h6s89YWt+d+UnZ+rPXT5FPjVO/JBfBUmJmKjqViM8lg3+OTrycjoD5FACLAKwAsATAIgBLryLMlWXwcha8+Bm8SIK5KPjRtfCMWfCT825s4REMgsPgGQUi9IpnaJJ/EORuovqyoY78/o48Y18JY6kY42S+cU3o0Y1VV5oPN7Wn85AgaJaMDZZ7ddIJoypsUkfMVSFY44VUY6YK2ljOw2IHVs7hxTxR5KSKHNZCBsthqWwHW8DTBTR6gcbO2emLOJP+kDhao9sl7d5Y2P5uYcea4q61xZ3vibs2XO3b2mjYW6/bVdW3Xdm19VrP3ruGkz3whUE0b8hS+BDJ0RP5BFU0jOfTSAFjyMW7z8MDmcNwFmnNQawXjZaLRku2Hr7QN3i2te9MY+fpVm3OICw04bKHqFTYeubYtf3b1Rs3Kd57V/j68fo9mQ0HDyl2bRas3aPe+rls55ey3YKao7BRxGMqHlXyqNJlrXZbq910FYVW0JjMQ9d68FqXqTqGN0+T3yWJlpTlu0WicxH+LmVumUI7kmSv3XAH779htXz+8uXfAbBq8sffl9Uf3HR22+/TN/7LiTf+6cg/rz/zx8uaE0NdUofhRgRtXrT1AbseeHAQZEF0HETGQMgBnjrAMyd45gTPXSDqBs+cwM8Crw08YYDdvMLoAKcH4xBwQcCpB3zvvLVl2tK4yLYA+3cLTNOU9WaSuhm3NUwyDVG+zmtTOa1ShihHzQWoMY+FihxoqdNUFMRL58K7XsH5IrnmB6s0TKjcZokHkThxEYuWDkOFpCGf1OaSvdlRRBaHZAlIGoZLePhcv+HofeOhNuzEbeioGNn9Lb5RDm2s7dvU1P0hpMt0m/M9aJnHXOLXCyIG8aRRNqETe/oFjr4SByJ0WIR2pozlShhbPkflB1nhtFOZtCnn+FrgaAIjzZMmFd9ZwPfmUN3n2M5zLkNuiBTGGemUrWKWVszSqhSlmmLUMZt6xlm/7L87/+hW3F4zRlUYjfkXlNt2X/rDugu/3id467Dkvc+lW8Q30/sMGr9TP/ucnXyETDh0AaZjZnxo4RG+4mEW/MOpR5jP2stArWNkb8yNzQTomRAz9XTYP9qPow2srYOl+/v7miFdl5vBE0/oiAf28K04Jq9qTvuTYP35mlNDo13xqUj0h+fRaHLyh58T0z8vgaUVAGbAXAIsvTKYKbC8BABYXga/zINf5sCff1yM+WeeOZajY0sRbukpvRwkp53GKefA0hMziJIgBM96eiadrWNkFQ3JHnZn97Vna9tzGFjkZOUMW8Ew8lXXWo/3DVwKWJUJXBMyKyOIJoHVxtG6SaR2Aqn0mJUOg+SVZimLlNFwEYcXv1JA48lCEj1PW3IYMpchLjHEBZI8qyWO30c/qdftkvduvNy59nLnGlH32ivd69XdG2t7t1V1bNK0b1S2bZC3b64d+Kgdy9TS+XqqBLUJ9UQRZCnGrcU4VkBihQxSTBryhgZOI9AF1JINW7KMlouw5RKMXNIbLj7sO9fSkdHef0lvFhkRWdNA4YX6o4dUez6o37FO9u4bl1//uGbXnzR7PhBv2SFcv7ti0+dXdghufdbQfhE1S5BXTSQDAgaScYjCba302Kr9XF3Y3ugl6lym6qjlwTT53QLbs0B3rdDdgNUtYJ0B3R2XoRHqqxwfX/fqd7eNvH9Jdmp95tZ//fTtX51899cn//j7E/+6O2uN9NpJfZfUDzctjQwCFwxcMPCTIDoGfvKDpB/84AXPXeCpHYTHwHPXX749NHASwA4D5/fAbgbjCPBTwIOD0aEVtnve2rLAPFhkm+dtd6YtNxKW2jhZG7VU+1FVlKuNjdTHnTeCvIZDhbSpkDcXO80lIVwUI2UpunLOmbv84h8BWLX0yz8/o7926spYbTFjLGWRMspcQgzm0YP5DoMggVZOwZppVDmJS5xYjh461Wo81qg70mT6VE58KLRsExvWVXVtbNMdpvFsP1HsRkuCWPkUoVywVq+QdYtk7RxRnSKqgqRsDC+j8ALKmk/ZChmqwEEWua0lYYtkklQusDfB6IM4oqFbc+x9uUFEGEHKIhZRlBLFaPE0JVtg1Sv2WjB6I2lTRSzyMK2MMuqITeWxSPt6s4TV+z8pent3/ps7Ct/84PLqD0rf3lOwOu/aZ1pzTdADz4RtiSeWaT8WsffGuJ6ZUeOKh049wua8hJ/qw3VNDqI78YhIeC0To9CkH/M4enG0gbK2MlQfau5yc8RCxA+mfKmnpN/RwVgqh8wlte1nlW15PeQtvXWIYEmv/+lMcm75xdIKeLkMlmbB/DIACwBMg5dzK8sAgJXFxfmZn8FsCsxMJp44Qk4iFWQXw+xCgJzzYjFuwGe5G7A2J0e7E/Y2v7XBZalxWiqddCVnUfiZWp+1Zsyi4qwVJCXFLRWrlLePaAfzJ6xVk6gmaFJFkKokfiOJ35jE68NolRdW2E1SDpFxSAUDCymoiEVL7KSAJ4tpLJ+ALuJIFo5lE3gWjp8dQtJuGz68qt2u7Nsk6lyX1/rWNy1vftv6trR9jaZjfW37hpsdW+o7Nl9r31zbs/O++fgQnYPwZYhNSGACFCnBidJhq2CYKBkmSgi0GDLkdvV+MWQ8a8KzhvDzRuwijF8ikFzclKPvPjfYkwUbBMOIQm+UXr139pT6oy9vHf248cO3rqx+rfzt/dc/3K/au/vy1v3lWw5INp6/eqC5P98ES2hUgQyWIX2lw9pyO6zizDIeldsxhYuq9DP1Y2i1C6qN21pnrJ0r9oEFumvB0gbY/iTaQrQpjJ2Xp3567ZUHq2xeu/3s7jc/e/+fP37tP3/8+19/sfqNr9ZszFp9QrBdU3/a1C4JmBqXRwYBOzhn6VrihsATGwg7wfNxEBkHAR4ERkBkHMQfgx+8IDIOgiPg0TBwfA+cOHAgwEOBEAe8BOB1i3THHNUyb7s7RzdNk3WTqCaCqsOo2g/JHXqRF64Ik5op+83k6I0Jm2aClEdJRYSQxkn5rK1qka1fpOtnrKKF6d8BsGpl+e+CzOe8roQ1lPJImR0ROaByt1kSRJQJU+UMVDOP18bQClJ3Xqv9os90uk3/RQt0Qo19JMR3KI2bGwd2PTQfH8YvOOEcuyEviAinScUcrllENQCvBWQ9IGtn7XUTlIwnSihL/jCVT1kLaLKAs5YELOIJUj5Jqhe5xhlrnWew1DNYHEbFKZtq0ioLYmV+uCSClE3jFbO0etammWGro6TCi4k9qMhnkY+RspaOM5mSjftKVn8sXLu/fO0H5e/uE773p/It8uZs3t4zHeGmnzGhcbOX6aFN9Q6oIWrrmR2Fp13fLwXoCK/nzK0eqj8yCnuYfg5vm/AY3fYuwtLI2FqdvG6Mh6afjoO5H1d+HA86hmikATcrWKvSiIprO3Kv9wpxeoDhCY/bnXg+uTz3y19d1xUAwNzKcnxuNvE4CXNuAAAgAElEQVTL3NzSwsIvs/MzU2BuBswmpoKOiXFiLsTOBcioXRe0dTnRe4MtQm1rOWeqdMBVpLaCMSs4Qs2TKu1ACY9pxohaHlMNY1IEl5hgyapv1Lvutp+3wzK3XubSVQTMqihaO4nXx4jaCUzjgRV2k4RH/0omXMpgpSxeSsL5kDFbP5ihN5w1Qef18Fktkt4JHa817hUObinufT+v+73znW991f5GTuc7V/rW1w5sa+zf3tix5WbHluudW5t69/SZTw5T+bS1FEeKGJOAhsoYtIzGBSRaQqDFKFxsNOYP6i6akFyTJWcIy9JC501QFmHOpYz5vKGYGChCtcJhoxzSV6jvnDuhPHDq5qe763b94fLbvxW8taNy7z7Z/s15Gz8o3HhYuFnckKY1S1BYOmyUDGvLWYOUNcicsNoBKWiDhBgUsrDcY63zWm74iIY41zbP9i2O9E2TLTHo1iTc6NHVmbsEyZ9+A8CqxM+/EjQdWnt21x+Ov//74+/+5tjb//in13576s0teRuPi3cVXD3YdCeL6JT5tDemkJbwQKOrs2ZC1zRv0y3xRjBOAC8N3CR4RIEAD8JjIDIOnvLAS4FxHIwiwIED/nvgsoAnLHAjy7a+WWvrrPVBEr8xQ96cJmtjuDoESX0mkVNXxvUXB6AKn0kygSuTTO0UW5ekq5IWZQytSBCKlFWzzNQD9sa8tTqOSX9+9v4rOMOOUy5UZIfLXKgoTFXGqdoIppkYkEUGlAmzOmAoR/vOI8bzBJajN5zvMp26Mri3VL+1Ad73EDmihU7BUCZnPOuGi6MW6YxVOYPIFyAlsNQCugEwt5ZG6qcYtdciYolCAsuDsVyCLGQY4QSnmHbVxdnKmEUVt1ROYopJTBZFpHFMGoLL/ZAgBAunLLIlpnKJr1nk65K0JohKeEMxoy9xICIaEd1sOZ1+Zcs+4XufSDb+SbH1T4qth69svlR7rAeqioaG5+PjqfCIz24gzXe0PRWkXhOwtnjRB3boXogdCNCDXkoXHyeSHsuk+/tpvyXqhzm2VW+ugfEGp30w+sS2+ONjMPc89czGEd+hhtphWO2gK2FEVNV0pureBZrpDj/h5uLPF6emwYtFAF4VxL6ceTE7uzg/s7gw9WI+9eKXhRe/LM3OLE0nwJ8nl2O+pcg4+MERd5tZqGFYWwP3qgZbhP0PSjlTpQurYcwKB1FFIfKHPQXquvT7zXnGXjGH17B0DYLJIFixKlO5VXbnxJBRQJnETkjhRdQhvDpK1IbJ6hBZ6SUUTlTM4eJXUwwouJTCSmmilEDyYdMlBLrIMcW8o9REXrivP1rVu7u0a9OFtnfTO1d/2fX2sZ43jvW8kdG/+lvderVuW71u1/X2zQ2dW2/37mzXfYTjGT5eMMFKfHj5q1GqTljIGAspYxEJCQhIOAyXo3jJMFWG20qHsEt9xnN6w0XCmMdCxZyuhNWXc0Y5qVfp+yrkN88dvfLh0epPPqjbu+bK+t8Wvr26ZNPmgh2rv1i9O2tdlvJAZ18pTWhwk4TSi1mDdAxW2o0Kp1njNKtYg4w1yDxEXYS7F+EehOjmiO27WftA0tYxaX0Qhm+6tBoHJEvN/BsAq2LJXxfePvfB5WOvZW7+7WfvvXZiza//9IdVu//h9yf+cEy4S3z95M07Z4faS+wDVRP6W3HzPU9HjeOBOjTYOG3pnSH7llgz8NDAzwKPDfg58NQBnjqAhwIjMOAh4MSAHQOMGfAwGMfAiGGR7pqjWlJ0c8JSnyTrknRNglLHKHkIF7uNAn6gyK0vY7rz+L7iICybJDQJQjVFKGdI9RShTBGaebJqkaqZs2omUYlHXxT1bHoFZ8yV9krKOYBLo6QqZtFMaCs83WWunjL7YCEHFfhGRAGHhIRyYPP5awOfSAd2NBk/GjQe1xpO4tAZF5rtx8tilCxpkSfhinlYBaz1gG0EtoZZqnKG0UyyyiAjc9lEdqacZ8o5mzDIKhae3Jly1geJiglUFreo59m6ebZmilBGcVmEkCYp5fJILXDcWObrZ7maBKUO4FLeVMaaBJRZ2NOTLao7kibZsrnwre0l7x67uiOtcs/xih2CxtMIdS8SoKZDI1NP+cgjzEW3DZuqSKN6DG9gDTX4YK0DfeDAO8aIvsgoPuWlZgO25ejIxGMIwRo6B2UQdiPgNc7ERmae2xMhNuqH7XQHSzSxRB1rURsNpddun5JfT2vrlwc8MEhFwS8/gxdzYGl2eX5mcW7aFwn4fwiHp35Mzv8y+3JhcXF+cXZqLhlZjD1ejLrBjx7w41jcOcRCN4f1VVCfQttR3n4nF+0TO/GaMbLGzTQQkLK5Jffu/YKujnLcUBUYbQs8+o6y1VGWulXna/fkXP/obv8lPVSGm0WkWcyaJA5Y5sVVQfr/Jerd35o6EH5fZnbfM3NmzjvPzOm87dtOu9vq9ra9jbcHtVtFR9GqKIpFsAiKgAjKTW4CAQkgSZBLkItcAom5mzu5reVaWSusrGTlJCQmJiaSJkJBKBQKA4VCobDOD/PuZ/8R3x++z/P9fD+MIFHjs1Ta0GIzXICCeSiYhyMFhLGAMObhxmyzOSsUrB4ao4EDGY+lJ3O6dyV2bv6684uLnA1R/E1fiTZ+Jdl0UbTpG/7mTN6OIu6up5KjLHkER3Xyue4cZkoadhZOOirGsGIPWBRAKT64xK7Pt+sKCV1Jv6akX1cGQ0UwUqCDcwSaW2xpgliWhOiyHWiJWZVvVpfY9TSrvgFS0Zk9OYm1UVGMM2ebzxypjfjkzpY/Xvz4r5F/++DIB1/d2l/FvIboaxxYI66l2nVUh47qBWhePWMQanRraU4dzQs1BLH2oKkraGIFTewAzhm2cD1wW8jYPoK1ecCKxfm/kWTYj3Mfl/HSL9Pi9+ZFbrwZ/uHlLR+f+/STcx9+fO4vp9N3P2yOk8pyAFmhVU4NaJ5MAN1zhmchSUtQ1joJcBcx2bxJRtoA8g1BhhykjyADdjJkJ4M20ttPOl6QToj0IqTjBUloSKuedACkVbFqESwS7DlL9zTeMo7WjaDVY5aqWSd97mX9mLnaD5XZ5Tn9gnSrONevpQS05cP68llj7bqjadlct2iizyM180jNjKFyBCxxKu9g4sQh3+5/hfPd66+d+kxcluLW5I5jlZNGWlBHcSkKUPmdfiAt5Cqb/5Y+/aomZC0FTGkc+CpPfeG5KEopvYrr07xQlhvMCcJFIaBkSFMyoatYhGrn9FXjitIRXdkUSp210GYG6mY9jTOvm4L2ajOYZzMUhazVIUvViLlq3EKbsTCW7E8WicZl4skcXjdlqp0309ZtDeu2piVL/YyZPm6hDZmqfEaqD6uxweUsdnJ69fHo0gNHi3bszdp4pGBXdMXhZNqZdnGRyykf9eGTb4hpPzHuRb0WPqylPxfm9+trXegTh7HLa+HbES6iZuGAwE9oB20aOyq0ESKpuh4wNA2F1KvzjvlJG27m8yQMm7nXZRO4rM9sWDuO0ACwjC2+U9Uc8+hpMmBomRyxkYvj5C//XJ4bHxl5437tgBz9XFQjNiPWoeDI3NTc4uzazzPk0uzckHsqQMwFcHLEshQAxxzCkI3tRJhqYWlna8pzTg6hr3WiDXasCdYzZPIqUF9vNrQ5se6AS+jzPLPZ25zWrrD83gvJzBMPObGt4hvt/NR2dnJnTxKPnaKTZVuhYg9O8RIVhDEPR/L64Zx+OAdH8sxYHmHKJfAcHXoDd2ZjnhyuMe6h6Mt7PbtTuTtvCnd/w98WK9h2Ubw1SrrlomBjbO/Ge73bqdx9LGkEW3miUxHRIj3CVkRqwTgESISU1yFFqh3OcxkKHGChCy61gxRUXYKoSkFNgU6X81yZ1sK/+ph1vpVzRalMJ+BiG1wOyPJBGQXX1GO6JyxBWcrjK5GVJ04+PhVZe3Lb7V1h+34f9t/D/rLz35OzI1tZdxAVldDXoooym6bCpqS4NdVeHd2joXt0DB9QH4CfeMEnTh3TBbZ5kG63oQvVNAGKWqu+zm9k/jSzkSTDfvznf9ZKMm82Jx19cHpXzrEDWREHUsOPJ+9NeXCC2hjb3pEKqktdhioXUB3UN4wCHZMga97IH9ewp/TcOUS8YJQu4wrSDpCuftJrJl8aSb+FfEOQnn7ShZDefvI1Sr6CyJcQ6dCTTpB06EmbbI3gLxK90+b2MbTRB1Bt6jy7PieAl4xZK4bxykG4dBApDRjKQmhVCK7yqEq8yqJhqHzKWLmA0ebQmlm4chqumIBLA/pcuzIFEceD0qtDb3aRZNj62n/z9MeAgth+UYJXnzmClw+bKhxArkwUxxGcBfTXRhyFqwHagqPWZsnTGlNQQwqhTTNrM6y6TLf6jhvM8YL5fqAwoCsZ1peN6isGFUU23h2n8O6QpmQcrhxHq+ZsjFVvy7ilhlBm4UAeARU44MKQuXLCRpuzNyw5WmbwhhVry5ypYdpIm8NoK5b6dVvTmuPJysu2IVOVH6vyGqmDBMOF1fZwU29TIy4+CL9Yffjo/V3hGVujKV8+5t4xE10jXmjCa5nx2eYDjqnX/S4TR6eidvWkKeVFZgODQFsdJpbbLHJiUjumGBx44bVqIV1vv/GZUFGHEd3T30NzP2DOl+J2bllZ/S01QHc5+P6XYr9L4LS34XgtjFE7hWn5jeeZ3Cz7S/n64tDqwojbZ9aiahkoB50YC1b1oEB/0B/4cWJucZZcnSfX5pfGPEE76ET4Yw75rLdv4qVweIBtRxtxbQ2irHDAdS5jow1psKEtZmOnFWc7bRyPne8ys+1mFoo90YI0FGaGPRTFJbccz2k/XdJ65kHzhfuPz9yvOUmhRba3X1FIbqH6u2ZDNoHlmI3ZZjTXjObixlwMzepHM/vRO6A5pc90gwXH0BUningH7rH33ObtuincnczeHtu76SJ3UxR/UzR3483eLRWC/SxlpEBxiqeKbJUdreLvo3L3MUURT0WnW7gnpfIEFLprhnNxINcBlzigSrO+0gbW4mApDBSKFamNPZfKmk/WtJ5mCxJ06iy1IketyLca6m1gK6+3NLcm/nLpqWj6ubMNZ+IaL5wvjvzTwffDPgrbfuiTxvp0tbIS19bY9TSzqsIFUB1qih+gB/R1Lnm1X18fAJlBuM0HtTl1LR6o021gEbo2maRaKqnQKSonvjtCkmHLy/9PHf9GYsO1GPqlvbmHd+UcOf8wOrXmKrUx6bmowAxX+3HmENEUMNIDcO0E2jaF9E7AvbMYfwrkz6OSeVQyh4hXLX3kAEgOvCBtEPkKJ4ec5Hcu8jVOvsbJ7+zkWyvpekG+BEnXC9IDkS6AtMnWrM8Wid5J05NBqMaqLNQJbyn58TpJAiK/hSvScXnGkKVizE6btNcNG2k+HSUIlI+iFcNQ6ai2eFRbPK4vnQBKx8DiQV0WobwBS66C8iuw8urY0DaSDPv5pz8Z5Bd1/Asg75IDvOuCsxHVLTbnXGPnIRYvAlHHBtE744ZinTJRqkkI2oqWXjMmB2r8SJFXfdcFZLuAXLc+3w8UhUDKEFDhVRVYRZkeSc4YUD5lqBoDymeNteSr1hVnUwgqdaAlbhPFYyz1Gku9UNEoXrP+umv9VS/pZC0RT6aNtEmYOg1WTgEVE4bqCYw2aqUPWRl+S23I0RgaYCqV+YX1F+IeHj37MPziwy+/Kg7PYJxXG2qDXmlwQDM80D/x0kKOviHHPaOvVE5z23NprliSwxFmgwANQ9pGXgPLY67FEff8kHPyW6vHpnU71c9VDX1QI27tAtAWlrjiUXvm4+4ssbLcbu/1vZKMv9X7vGzEVI3b6GJdbiHzNKX9us7YMTE+YPdAXbJ2juaZ7ZV5cDLg+M7vmx4b/3VpnlxdJ1fIX+fJ+XdrP7xxGCUKQZ1V1+bDuhxQI66rVUpKFPwCp6F+/CXbiz8h4Ab/wLOR1+rxgGHyrX7Ep3LbuGZTp1Rd1crJZvOKw+oE8Qn0L2+2no5tjPiaHp7eeOJhy2Vmx9X23hi2MPa57JpadQsCbqFwRj+cRcD/NTOA4KTnYCwPiOoCzlSpj+SK9mT2bL3P2l7C2k3p3V/I2naze2MM64tY1he3Ozc94u3jKE5ItWf6+JEtgiO50n0p8j23xbtyODuLOHvL+Afb5Rc61bEc8IbClKdGiiBdqQ+uG4GafGi1x1SjVGU+7r1E7TxR1HK0pOVUI/d6izCeK8xHNU0cdn56RXR00bnTD86epZ46W38+uvLMzeKobf9r42fbP6uj5GrZVJuiygc3WlXVZkWlS1/rhWkefa1XVzsE1QcNzBDAHId7xwxsL9DlMXDcSG+/iqmWN/TJawdfJf8LhoTN3xQ2J8Q9PH+kNPJAYcSerENRD07TWemQrsJnqJnA6aM4bdJcP2N+MmNqm0LbJw2sSYQzbeTPGiULuHzVpiHtepLQkLiGtACkAyWDFnLcR/4wSL51kK9x0m8mg1byWzP5GidfGUknSDq05Mu+FTt3CmsNgXSPvtSmzutXZWrlNzicy6zuKDHnSp8owQ0XhCw1Q5a6QWPNMF49Zq4eRsuDQLlPXTikKx3RFE0CpaO6PLc8xaq4DkliIHk0qoox6WPmZv5fkgx7991/9vGPawUnzMrranF0J+8YkxveyDnQ3LGH0/klIohycWL7OqLEvXFepIT0t67bqkPaLK82ywbl+k3FXrTACeb54GI3VGrTFtn15UNQ1ayJsWhkrBkZayh9Fa0jLcxVnLlorhsjajy2SsSQAyjS3UDxnP3JwsuuBXPTBFQTkpWEpIUhaaFHmOOS5Q9BlYOmar+pepBg2IzVWn1JpygzqyE6tuJ4TM2RlIbT95ou0Fi3AIARcEiGHfqQFQzh0Oq3HnLMv/rWuPRdn1ZT8lyeL5DlP5dX48bewZfqpXcDo68No6/RyTdEYMDod7wADZ1cTTlkYSKmzj6gUaAsBXFqH1yDWVpG3kinhoBBl8RsbQMJ6nNTNpUdnf74xMPeWzyorlXBYMqY6Eto9Mfg1ML0xOLsBLk0S67PkKvzvy6s/Dy9NjO+OPnGbVLpRI39sjoHxDTraQphAYeVLuNn2SHa6Mve4ZfPrEgrgXVNBF7MjZgnAi/8DonD0osaGmGIgaFMGGwMa5Hd+oZ25DL96PlHX35dfbCo7TJblKHW5On0d3VAqg5I0elvKbVxOjAJhNIgKK3fkI6b0vqM8V3AmUficIp4/z3hjnTe1lzuTgp/H4138BE3vIi76zZ7ayJ3S6pgR4lwb4v0CEd1kq080cM/VsbbG8/bEi3clCTakSPaXyQ4WMg/VNQSXtEZ0Sy+pDTchZEiTFvqhxjDYFMQr/PitX2qzGZ+TB3vXEnHiRT6weSaY1nN56tYma2C6pymzPOUxPO1+RHUtK2FkbsfHNuavPNoQvj2gxtjLp6yithORZtTXesDGt1aukdH9wF1AaghCNSH9A0jQNMIxBxWt8waBAsWWRBhOeB2s6FTq2oFjaKX7rbV1T+QZJhn8KsebVlRZ1rE/eNRjJjdeYc/vbE54v7Bx9w7VhM9gNf7oKpxc/20hTlraZszd8wZO2eQ7kkDe9LAnoDYM6hwySJftSiWcdkyJictGvIlQgbt5DsPOeYnv/3fnTNoIwMW0ouRLpR0guSAhnQoVuyCCbTVp6nxQZUusMwBF/UDWWpFokJ6TSm5JhXG92synIYiL1rmM1KGLBWTtuoxE3UIqgxqSmdQ2gJaO2+gjmry3dIUmzwJFseiikuQPForPwfqj6ysvEeSYd+++p+46oJZnQDIYrq4x+lP9z3q2NfYHc7qPSITRCLSS2LOuc62SCU/PmQqmraVBw25Du0ds/6OF8v3onkOMNsN5tn1+bgyB1fmjRhqZs31CzhjCWcsIrVzUNUSylhE6pbNddNW2qCVCgN3lYIkuypn1ta4/LJryd46Z2maNtWPIzS/lmKXF1iVhTZtCaLIU0vu9knvcnipDZ0JD5iXkx+dTHh0KqP5XE5r9GNBqkBTiiJN0wGIHHs17TWP2fqnHNjyG9uMFxiy9yIAVa0qVWsrQE09BnbaUf7CW2JldGA+ZJnwYsMOLOCAZKrGdkGBGm3wuKR+j9zu6LK5mhAL3elqHwmJh3xSs6UTxhvURKUAu1shuBBTvftr6uFkxiVKT24fIQq8c8/8NLawujD9y/wkuTxHkvMkuUKurP8yvzo3Sc6PDjkgm44VMLJH7M8IuE7Az33acUstLiEA+qCtOzDA6dczAXWjzyoe9ekn32iCTpHT3AHraZCu1oa1uglWWI/6bnL9qa8qD0dWHoqtOPao44ZSXYpCFAjKAQzpOkOyDkxSAvFaJEmLJPfBSVr4uhKNewqepsj23hduz+BvSeZvShdseSDeQ5ceahQdruMeLOLvTmFvSWRvvsffWSXc3yz5slnyJY2/v4i9M4Wz9Tzvi68EX8QKtqXy96b37k/t2POwPYLGiuRIr+LGXBdW5tRXBAFGUFcfMtU7YSqXl0hpjSjrjnjQG5nz9Exme3Q07fQ/KFERlGtHH2Wf725PVqLRfMHe+sLfJez4w8UvPjn2yYbdf0u6fA5nd7hl7X4d06lgeDR1Pl3DoLZuUMMYUjeMqJmjyqYpbdOorHXJIFsmFF6oAdRVqaEWrqbrkbh1cvZ/kGTY6A87n2P1VEH2kaITf47fEv7g+J774Xtzd0c+2F/YHC1V5hFgFaYq80M1Q0j9FNY6g3XMoh2zhs45hLWIceeN/EWTcNEinseF0+izWYS7gktIu5r0W8i3LjLkJt8MkH47GXKRQy7yWyv52kC6INKmIc0y0ipft0mnjV1+Nd0L1HgM1U6UghlyYTC935CJwhlaZZJWfqNff5eAsx1IVogonLRXTFpqJjDGmLZyGWtcw5mrKH0aoAyps72aO4T0OiqPhZSX+lRnpOoTJutukgxbW/tvPuKEDbxBQDeUssvNnUcftR2o6whn9hxq4Rx6zA7v4p3ics4r+FdscGbIXhzACz1g1qCpcMRGGTaXDBoKQsbSYVPFIExxA8WDurJxY+0UTpsj6HN47QJGI60tpK1tzdKwaG8cH6AR+lw1P8muzp4l6padrSuO1mVn66KnfczeZDdU4AAFByiQqrCnN7nmcVRR9cl0ypGE4vDowr1ni/bEUY98U32ksPUSW52P4o1eJ3d1jCB/DCwFHSvfuha8NvI7FxnCJl4KR51sXFfbJ6mwgW0e9JkHE02/Niy+NS+E8KW39vWxN7N+KwJ3ilXVOqTJaRd7nAqvR2h91YK/ZNhfNfled3pesewOls3bBbpqWpDUxI7wf9RsiG8+nMm63AlQhyctCz+NrP8yP/Pz9NTS7DS5PE+Sc+T6ErlKri2TvyysjQdXh1zLPuO0Ux6ysa1Yo1ZLFUqKACWDgNsCduHoK7kdZcEapp8QzwYM80H1xGtRyMEi4DpUR7PCTJuhPUxppDzkJX5de/Ir6tHUmnMt7CxEX43DFQicDRvvIKZUEE2GjKkwng6Z0rRIshK6xgWi6MojWYJt92TbUyRbksRb0sXbSiR76eKDTP7BRs6B+4LdN3s2xXd8frtz0wPW9kecvVTe3tyebQmsz+N5my6LNkcJN8ZyNqf27sllHyriRAhVyUp1KqK/40ELfHCxW13kU1c4peV2VZldX66U32nmXHjIPpXPOZnaeTqh9Wz807j9lPMf3Dv/KSU7vFN6WuL6sgfc1MA4QE3blX72ve1//tOnf0y4eLq/kzmse+ZTNTnkdLeC4VHW+ZQMv6I+KK8fljaOSp/Mqp+MSNsm9eIxlE/oa/sAaruSkdFG7YW/IMmwH3/6sPtFRauOmtJy/fNbOz9L27/r/sGtWTuPPtib2Xq2WXwDgMsceJ0TbXDragJQ3TjSMom0TkEt03DrPNq9jHOWce6CiTONssYNnWNwxwTcPYuwFzAu6YBIr4V8M0C+cZIBFzn0ivzuFTnkIF9DpFOzhIlmIM4SJiIHVMtW8Rjc4QYYbqjWDBQrFalSeSICZ1hNuSicoVbdgoA0BLiFAol2ww0/encYpUxgjDm4bhV7soYySYy5itZNQ5RhfZ5bngoLYiD5Za0+SgFFKuBTgdBGkgxb/vkPDuyaz3LXhWVqFXE9vLMNPUerWPsrenZVcPcL5Of7VUmI9DogTUB0KX4kb9JUMTtQPTdAm7JQx5DyObx2xd60YGuYwuiTptpZW/2UjT4zUDdD0KaNVWuWBtLStG5uWh94suRs9MHFqDTFo82bIWrnCPqStWHO3jDleuIh6P+SOIEGCkd0537NqcuZ20/e2HAyeeM/0jYfTd14MO3zyPs7LxbsyWdeauZnqiHa1FuQnHavjriXg+71oIsc8ZFTQfKdfel135RTaNc1aYVVsJjhBlmjNtWs58WMF5h7gy6GiIWgPUjoIU2LFqyH0DYbIXbaFIM+udXZBhAlkKWMGKhzutrtnm7U+6QLz7snPPM1e08ce3+q8EQm59xjVY7zW8387BD589zq+vz4TxOBuYnQ0uzk+tIKuUaura4vzJFTI+TcCDnuGndIEB1DLC/jyik8eaVW0+okxONvoLlQ/6BVRoBdI3b56lsjOaad9HL9llaznoaoqlEVA1U1hKGWmqeanDj6yaOl+25WRrb03EHBKgKpwI35ZnMWZskE0RQcyelHshEkC4LT1frrbFU0XX6sRHrgpmhLgnDTN/zNN/lbcjg7Kth76rgHmPyD+ZJ9KZytCd0bUjs2FnZupbJ3U/h7s7g74rgbvxFuSRRvSxJsz+TvqpEeZ+vj1KYMq6nEYynzm8tCprJBsMirK/Dry+zyPICXSWiKrYYSJXCnVXn1gfBMYnvE6YYv91fs21Z47P2Ms7+/l/TnkvqNj8EjPdhpkea+XJzZVrfr/JF/+8/fRxzahTxtmILFIU1LQNvilte7FYxBdWNIwwwo6kOKpnFV+4y2ZVDR5lB2oZonOj1dijTc7ynNYe0mybBfVhL//hYAACAASURBVN/j91e2axg1wsKL1ecP3D9ytOLM1nu7P7356T+Kd9N48QJNhkyRpVMWEyAtaGgKQA0hsGEUbJoytMyh7XNo+yzSNgk+GdM3BXX1AV19CG4ZQ9rH4bZxoGUdl5MDL8jXBPlmgAw4yJCTfDtAhgjSo123SacA1oiqbRZ+RjrU5Cv9ql06grUNIg24pojLiXvKilIob1ixfJupqB/OIYx5uCEd0l6FlJf6FVed6vQQSFkxNa2amtZQJmnpILGWKV3luK54RJuPiRJg6RWl8pxUe1IBRQLw+Zkf/0qSYTM/fuAw3vJZsrzmbKsxTaGNaRYdfcTbxxQfVcgvuXVpPn0mJktSC65apSkjmsIpY+UsVj1vrJ4zVM8ZalewxlWcuWRsWLTXLwzUTxE1k7baCXPVqIEyh1YtGWvWbU2kk7nmbBxBKDZVph8unLFWz5gqF7CaCVNVyEIzoxXPNfnPdQVdkjtFDWcib28K/+ZvETc3Xc4+EHf/8NnMPUdTN0dm7UouPVH4+EpVW7JYUTP+7Yu1MedC0L761kO+dZGTQfKdlxyyrPr0fkOH39A1ZpUEEI4HYIcw8ZBFMmyTzAVeLH9nmfCgNlCgljeogToEbfc6NaM+Y+iNBsTqdHiBDiuwORh+fzfmbGWhxfdlV6I69kbxd8VJDn7VtuMwdeP56sN1ohLbK9DtshCvcSJg90y+HV+ZmyNXV/91HPvLz+RPP5DvfPOvDSGrQKmsqeu8S2fns5UMHcQJeNG5d6757+wBu5oAev0mwcRLVdDWYQZqUXUVAdQ5kRY71NavYoZhRDUPLohvPH6EsvObikP0zmtadQEGFPxL+GXGclBDFqErwnT5sDZLp0yVyq71SC4wJScfySKSBduTBNsThTtucnZksLYXduyo6t3TwD9YJDuQzt+RxNmSztlWyNlJFewrkxzIEe/5RrglUbAlU7TjofxQq/6MAr2OWTJd9iKvpSxkrRoiqocsVT64xKnPcQHZuDJZJ0rBNLkEXAxAuT3apCrZ5dvcyMvtRw5Ub95RcOiDpBP//s2l9xLSw25QNz3kR/EM+cIXdeK+Enr1+9s+/uN//u7pw5xBRcck0DkCdvhVTR5lnV/fGACZfk39oLp+FGof0be6oXaFtpEpqWBKq1rVTx5KUpZXfkuSYf/ftzn2b3HfkFEAt0QURIQXfLnr/sG9efviGWcbpOl9hkKdLk+nyDFryj0wwwvQbPJyQlTiU1XP4u3rA5xlonvKwBzSMAJqul9L9+jofrBhCGwaBpuGNfXzCHcdl5IDL0gPTr62kN5+8qWeHFCt2AWL+LMJoHNU3T4Lc8iBPvI1QHq0i/ZnE+YWB1gqEyZx2Fe0ihQXTglYa/22qqCjxmstJpAURB0Dii+YZdf9+pwZtGbByFgyNpGWjiWkaVRJmdZXLJto44Zirz4TksU+l5yRqc/qwEuw4aulpd+RZNgb/2ZEe8VjTh/25LnsaWowmqM4wZOees4/iykShoy5Q8Zcjz7drUz3yzJDmsIJoGzZxFg1NSxC9AWQtoo2rBkb5/HaOVP1BFI2baZOm6njRsq8pXaRYKy+ZK45G1cG6ieMlW59bshYOj9Am7dUz+M1E6YqP1YJA8Vs2R0mPym3KfLs/U274t8/fPPzxOJj+Y8u51ZeSrp/IibjUML9Y1kVF8oY11m8EsjQ7iQkQ05w7o2NHH1DTgbJt+5xi3rOoVl5rXUDLSGMTYaMZAgfxqUBVOg2sDzG7iGHaOYNNPdtf8imtuOcflMbALdZzbJhrzH4WgNiDRBeKgPzIGOl42ULSNTRNRkJnBMRrZv3tn0S3vL59sqP9j/ceLh45zc10VztE9AoUmISnVVvDTpCc+MzKwsr/6JNyHVyZmxtxDPrR4IDoj5dfbOQ0qmsB6wy+0tw7oc363PDS9/7xn24zyL1W0QhQoSDdQpxaZ+kAgeaPHivF+dYoc4wgqgSogXJ7ScvPt5/kxH+mBOj1WZjYG4/mNkPZ1mRQitU3K8q6teUAPIsMe86j3dFKL3CUl2ok5/Klx7MkR3Okh++JzyYydqT07b9QfeuKt5+ivxghmBnInfLTe7WLO6OEuHeIvG+dP6OrwVbErmbHoj3sKAzoOU6bk4zI2k2ONMBZjugAqeh1GusxvUFWkmiTn6lT3JaLb6mk6ch2ly1Juup7HoZ72xS56GzjTuO1G/YcGdr2LHNvz22770zp8JOx/0+qWJ7OTuZCVT0aMvqG7Yd3xf2wW9zb192i5vG1a3DurZBNdOjqfPq69wAw6GnuUCGH21y6BvVEO2Rsiidl1coZjRo+N//87+TZNjL4dO2t/ah773eby1MEWNb8v7P0nZ+krE94sEhKi9Fa6rGTdVOlBrEGEPGOj9YjUmKIH4uys31qalzRPv6q2cLts4xpCGkow8BdX6gzqauJmQVTlX1kK5hCm5dxNmL2L86J0h6jKQLWDTxR4An43DbFNo5j7EXjM+WTPx1q4R8qSA96pUB9qylZQircUAFiCod1Wa7DOU+jDZI0II2mtdcboXSYdUVnegsKr3iBdKGDMXjaOUUQl80Mqf1dSPyigUDg7S1ki+ZC0SVH8yGZNcU0ksyxWWZ5vIL7Mivv/72119/q1KFg7ooj+W6z5pEGGIR3QUzeEUpPy+TRUPaeAeQGDJmjJnzh9B8nzLLr8qdhitWzfXLRvoSSls11a3i9BUzbRmvXTBWrlqqFyzUMbRswlw1aaudddJnbTULRM0EVu6FC4JY6ay9dtFaO2muDBkpZl0+l59c1R6d/vhoFGXbgXsf7E3+MDJrWzr1TH51TFbJpZyiSw/K45gNd5pbsoQCKmrochISh0XqNqnGXhrJoVfkW+cEocckbQ5VuwdoceganMCTcZt4wqEZsSpGB/qchk4X1mmGn+Bgu88iGfXoR/x9VnuXQtuoUHV47fohv97rfQbhFTxFtkxdgJoYCrSqTJp4vn3/Nvp/bH78waaaDzZXfHzg4fYD93fF1pwXQg3Wl5LBkAW2a2QmNeIlRmbH/wvPXFki5yfJmbcrI4RvQKzQN7G1TDUhcwRtsz8GyF+nyaXJtdmhlR/eTAfxcY825JD67XwcboW0jYC6vh9sc5jYLvOzMAQt7VTf+rr+wFePdyXQd9ZxowAg0wznIvo7oDodVNyF5fmwrADTluoUORx2HJcbo9UlKdDrT4FoiuIERRVZpDpVKI3I6j1wr33n/Y7tFM6eKvWRTOGuOPam+N6NqZytufxd9/g7E9mbY/ibkzhbKiQHxHBUP5HUb7yB6m/g2lS79g6uuovpCp3GGgQoFIhipZIzasVxHvccjxPD41xv70koa41Mbz6U0L43pn3nEeZnO7J2he3fELb1s387vOc3J8//9nLWe9cqjuc+S67hXs7KC48+Gfbff3fyzB6v9MmUpnVQ2RTUtvj1jS49w6avtgI1NpjmROtgLZ2pyItnx0dzMytAPvYtnSTDfl75i8alIgKEOzDwoKV627Vj753+7Lcxn36cvTu6+gRNmA6bar3WhiBe79FV2GVFbkUpJinApYVONWXYQJ+1tMxb28aNTQF97ZCeMQw3ePUMVFKm7M1BBcXD+oYVgkM6hIv4swWUT9r7SD9Kvn4xi7F9KppXWTsOt63ZRKRDtm4VLePcNYJPOiTLlo4ZvGnKQh8mqlyGon51DiLLh8QFdpBiBymYJlcrSZTxz0vZxwHhWac2MWQsHjNVjsJVkxBjTFM7qqxegOvXzU/WbfVrAw0zliqXJlMpiBUIoniKaKE+Jhj8lCTDvhv5C094QKeKwIGzhO6CTXfZDl4GwEtS+PJz/YU+xTm77qobTcHAWw5FKsq/7pSkTxrKF021y2baKsFYxKuWkaoVI3UVpZJE7aqlegIpG7NUjg/QgubSYbR0ylg+aixzg3keQ+GEuXIWpwaMJXZ9npibRG04k1S+P7Jgw8G8j/YXfHC5fE/iwyNZtVH3KNG5xVca6ZlqDs0Ls71m4ahH77JICEw47EVGXiKDFv38a2JmABqEJZikDeBW9zAzzepaq6bBj7EDZsmczzDp1aOaJgfW0Q80yiTVGNg97NVMDAHWge7nGoZQ+sRt1Qx6+jwejtVeDyNVZnO962WnAq3JF8RFMLd/Vv3vnzz806aaj/bUbP4s69ONaRvud97SWdt1pjaBpp2j7VJbNN53voXVhf9DTi/8MB2yu62SfqRTBrSIDb2Yt3905t2/pO+rP71bnRkm54eWxh3jr/V+u8hp4TotXI9NaMe5dpzrtooc5mdhYkUqhXUutuHwV/RD8dX7Oco0HCtCgXS14nqf/Dqsvoupi//12A/JM59zY5XSqwB4vc94Q2FJZsJR96VHbksOpYjCM/j7crl7clhbc1hbc0V7bnK3xrC+iO38PKlzQ2r3ptvCnRnqAymqfcni7ff42+tkB2XQBRxLchrTHXCGX5/n1uS5IYoDqUThfKku6ansRLvi8GPu8RbOuS7OpYbWU8zu03XC87m9J3ME525yz0QWHPn99g/C/vZ+2N83hJ3Y+4dL0b/9Kv4vx65/eOLaxycubD174t92/GXTgb8q6wtX9RK/tH5Q3ejRMUBJkU5WqJDlazUlfZoSNj83s+1qPP9Gvqmu3S1d/vWvJBnmHqOK7ZAY0xY1VX0csSts27//7tj7e7P2fUWPrOOkg0jNsKNzytbuVJRqe+/A4jxAnEtoKU6QOozVj5ubhg30gK7Kqyp3SIsHdTUebZVbVwmJchW96RA/16OqmsHb152CeTNrwtC+ahWSPi05BI3CTJidC3ZnuaXUGaybdEjJATlJiEirgLQL5sxts2bmpKl2GKV4oHwnWEBo87WiTEyRbdMW9Csy1dxYGfuMkndKJ7nQr473wnkT1qppMz2gKveJSsfVtfNg46y+fkJLnYaqJ+ByrzoblycjyhuAJrFPlSBX/OPXX39LkmGwYQeoPo6oz+LKSzZVnNOQrIOieuBDPWg4Dzom1J4Sq0+KdZFadaxUEt0nicE1yR5dpkeVOaTNn0OpswbKsqly0VCyipUvYZRxpHDMUh7EKUN4aQDOD0L5Pl02LkvBFal2baZdmW6WpCs5N6j0c98U7Y8q2h5ZsOFw1keH732YTj9Z1nKlrDEup/Ry2cMkBbcuhGtmX2ELAWLaZx52IqEBaGno1eJb91LIOeZEZ18ho5Y+L8ixq5ggp7Svt8CuawqZng1ionkfOmpX2w29Tqwb1tKfi8v7wSd+uyDgkcCmdsDQbTUr/HZgyKN1D3AIW53X1TYWEjidbTKUks+/HNW2f3P1B5tq/2NbzWfnmyOiaafvMW+wVdWAqYUjpzxmF3G1rf0udGph+n8fG6yT62ur0+98TkimbH0qqu1St0gtCvuQc3z+3eLS9Nrq7MT3g9Ojr+beOUa84KBd6jCx3Rauw/zMbnnmeyWbeWf0v5TqVA1hPPmtB93nLj8+HEn78nb9SY7qLm4shYG7CkWCWnHdDOXYoWKXrtyPVbmwUkSf1qdKUGiuPofjn5sSmGhUvvxQimh/Im/3Tc6OHN6ue73bcnq3ZAp2xrM2RD39JK5nQzpv+z3+zlTBjkTxjgTZrm+EW25yNz8Q72FpIyHkGoGm2gxpXn22DyweNdODFgaBlj7XJNEEx8p4ex6yDj3qOdLSG9nac/Ip93Sj4GwJ+/R99vnoxxHhqfv/vPOT9zZ+9G/hG35zcmvYVwfCjh0O2xIe9vcj7x85vu1i5B/+/sEHO/69nZIyr+YHFU0uKa1fUMrrTGN3p3SybnSxUxs7Eh/QL6c3xz7QURqdvdZ3KSQZtvjLNpmD6NIrEqhFfz0ZHvb5H39/6KODyQfuNcfXybN48oJ+uMZtoPnAWkJcAPOz7fpyG1TZrylxgNQhvGEUbxyEavw66qC+yq+jWsXFTlXFIEq36yt0/CwlKw3kZPs0NYs21rSpwy2t8sppS1Yu6ZF4VFWCxuu8x9cxbtEY1LpCCEininylJl1y0safNbbOmZgzeN0oVjFoKPIbS3xYmQ0s8IAlAbTCAxaZ5amINA6Vx/arrhG6ZAeQO4iUDgIUr6wkKKuYAeoXDY3TOtqwoiwgLfDKsn3qvACcP4jmu9FcJ5LTJ7lks31GkmHzc3/qBy6AynOw7AKmjAc1sRxlRINiV4NqZ4viAEt2RKw9o0NjUCQBhRJQILFfmwzLkhBRskOZPQSVz+EVK0T1PFIyZyieggpGoLwpa+WEnTpuqwyiRQEwz6nO0PGvSdlXnvfG8FrPKXriWa2X8ysiYnN3RRdsO537+ZfpHxxM+2sS5XBJQ0xDe2pjy10hu9qPq8gRDzk9NBuwhQYgPwGOeS3kDyFyMkj+OESO+8nvvfOvkCm7etIq9umZuKyKUNe7DV1ehD9sVQXNMr9FNOQU27BWnbqGQFt9Nj5mbNfCT0CEhRj4Ppt+ImAIeCSYiQHBtTYL02pr0VlqqdLrMU8P76797OMHfw5/tO2hOlNgqpciTJaY2s4r6RIUC1UM0MR3+onpnyYXVhcWfp4hVxdJcm15ZnzQiyk07e0ieo+2A3S9CEwOzv38w9ovM3Mzw8Mhx8Rb2/yobdSj8RECr+VZ6KUk+ErqfykO+hST34Fup0CtZoQ1CxNynp47TztyvPb4V0X7Kjripeo8tTZTKIl7Lr9qRbPcxgK7Pt+FFDuIYtyUrdAnPNdceQ7GPkdim/HzhepDqbK9icIdqYKd+bL9+ZJ9uaJdt4U7Ezib49ibUoQ7cqX7ssR7EnhbL7M3xAi2XOZtiuVsuC3cWaeOUJquEcQdpznTBWTb1NkuXYkbqnDjlbA5r05xNrVnJ4Wzr4ZzsIFzmCWK6BGeaOacesSKym+OCk8P//DYxt9s+I/fbfnws/M7tqUe+su13b85vzNs7473Du7bePHMP5LjPj629U9b/1iSfmlc2jum6/TIGZiwjNue/LQ9gdke19J5vaY5Jr/+3L3mhApFNR1qWlj+E0mGfTvRLsCMcffz/hxxKGzLh787sul4xulM+rUeeUG/udZpanAhdQ4d1SYv6+flgbysflURrC4C1IWYvsyD1PoRmg+oGtTVBPS1Pk2VU1VhV5W7AGq/olDYndzZeFXQmmiWFI8bm8YMTSi7AGLljhmezBKdbmVFa2009X6EoiV1UEWfNXSvEULS1Uc6JPPGzgWkfQqum8Ho05aakLHYA2W7DXketMALFgYRyiBY7FBmWuXJmPwaLE9AFcmIMsOszrarCjyK0jF97SreQlo7181PpgCqT5RNcFM88qwQXBQyFPugAh9UAPCvsNsP/fzz/0WSYR7HIVgT269JQJSJIHCdo4ik8fdSOdurenY18w736WPcL++6iDsuItOOpSO6FK0kUS26BUjvwPLsEUPRPFGxSFQuWcpnjcUTaNGsrXJ2oHpyoGbQUOTUZqPSFEHvladPz7cwI+k1Xz5tPve4/kzGg0Nn0zedvrPhbOaG8/c2xubuyKk83fw0RSau0Cnq7fCzGb+F/D5I/hAaeYX7bUjwJTYbdK+886+Pesn5UXJulPzBMzWgnXPoV17pxwmuB3ryr2TagC6rvtsOsANWyfBLidXYAmppCNTUD7ZogSaz9ZkO7mIL6p1m+dKYdTKot1tblapKhbICAGvEIKWEHRvX/OU/Hu88St+T0ntZ5miy+yROhwyBuvvhLpf5GWHhuJxaf8gx/dPk4q/zS6tz5NrP5K/LKwtT46Mem1MPERLc+yIw6Z9dnFxeml5bGAsGCJddG3ypn/C9CNrEdqTDT7BnQ8DMEOh7JTYTXYjpic7AgNGGsApWdHJzZAT1y8PUiKPZ+zMZMZ2Cu2Jl1lPe5aeCswB4HTekmnXpkPYWYEiHsDtqQ6LWcE2NxInBaKr2y3vinTdF2+K5G5M4W7LEe+6Jdt8Wbs+U7c2Q78tShd9XH8xS7L/J3/Z1z4Yo1mfRvE3RvE0XuRu/4W8tUh5iIdGgOZkwpwPy6338eFiQQijyfOYqq7P8sTYmvnNnbs/2EvbOiu4dTN4+Zu/+x+3H6C2XMkojt507+Jv/8WHYp//xx79/fODGvuhHZw4XH9qWte/98zv/FLljx9XIyPTYzyN3hH3+XtTZ/fbOhjGANaRv8+vrQWGekJ3KZt94LrnLFdypehqb03SjRkA3++JJMuyHf/5dhvWl1tP+Gh4etvXz9w5v3ZsamVhz7VFnKgSUj71smxjo8CMMm7wc4eRJ21M4rUmc7mRWz42e3mQx7w4sK3Dqq0Jo/aSlfQpvC4ENDmUlxM/V8rJl7HT20+uslvjnPakOXUUIoQ/qanTdGdKWFLOw0KmmeHQVrMbYnIy9bMY1l4Q6oW9ZQtmkTbJG8GeR9kW0Y1RHG4erZq20EJKPSq4j0msOfVoQLB5ByoehsoCu0Ke769TdIVSpmDpDJ0/vV2c5dYWDurIxsHrJVE8OtJCujgW0OqTMt4tSbZI0hyLdLr/jkmf51PkoL0729IzX9j9JMmz+n38moBSXMQdVp/SD6QrlVbbwbDv3RCsrgs051w+kjL+iTriqRgeog3iJE853GoqcKKVfny+VpPdLkwahnElL6QxBmTAVj+PF07aK2ZfV4wM1TjAPkaU+F1xrfnruUdOph4xjReX771P2ltREpD84HJW+JTpja0rhgSLqKXrDleaWlD5JhcvIGrKr5vxmcipIzr0jfxgKvMKHfdaZkHtuyDPhs84H7OTUIPnOs+g1DMKCaZt6wdE3TnADxg6Hnhk0c10GNq7uJIBeLy6wo52gltanrtZq6DJ5rVhBt7+U4hahUNpkw0RTbwzjr/UBlxgCGqTyCrG8rIV3J6s56ibzVGrn2ZMPDyQzL0mRJvdLxehrdC5gmQ/gIZvKjLGDPmTi+8GFX2YX1xeW1xdJcnltZXFp8Z/T08PD71yD7xyhaf/ET+9m5sfnfnw3885jxuSwnm2F2T4z34v1msGWQStnPKCZH0OGgyqMaOdpKUJtmdnWFFbWE5XSfvbLisO7ir88eO9QTMnZ+w3XGtm36jgxjYKzz3WxWjBOrYwVSi8/18Xr0FuQ8RaGpSDG61L9hQrJvkz2lhTu5sSeLxJYn6fyttzkb0sQbLst33tPeSBfc+i++uBt6Z543pbLPV9c7vkihr/5Mn/zRe7GGM7GZP6Oh/IjndpzPN2FHv65PmmCE8wbRMq8GAXAsh9Kz8Z17Mh4uim/Z0dZ93YaZ+/jnoOP207R6uOS753bePjQbz7/9I87Nn54bOOe5J1RNUePP9x/khr++bUtfzrz6da48KO3z269tPe3m/7vXfs+e/6oLKDuCGjbBoEGXFoMS3N0smxMX4boy3okGTVPM7skrYs/f0qSYcSru/mNpZ9fjAz79IP3/v7FxtjDZ0suZzQmdolz7Uj1CM4IofWEnAKwc2St6V2MhBb61c7mhJ7uG9zeFKUwC1dTPCB9GH0yiXUMQ0y7pErcmsZuvCFjZUKSPFCSp+Dd6ePftQOVISPdpSmHeFnC1sSehqvSzmQPXKlgp9RVnhY0J1n5paOaphUTm3RIyAHxioW9gLSP6emjcM04VunRZSLieFwa79aljEKlk0jlJEydgMsn0dJhY6EXznFAeYgu06zLsevznJo8jzInoMkfA0tnEMoYWDwCFvh0d63yZEQQj/Kve+RZI/oShywFFcTb+hJWlv9AkmGBgasBc6lVn43K0zDZHasiy67KIRSZuOyOHyiasTDmbK1T5qZhpGYQoo7gtFE7w2YoEotuCFiXAHGCTZ/hgrNccJYXzRsiSqdctUPOahzMlokTW1iX8uuPpjzck1S0PfbOZ+dvfpBauO928ZeJOeH3KBGPm6/xeu/2CUr6lfV+jD3t0i4FMHLMQ86PkjMji6PeEb9t5jvP2mRobTIw7sHGX6LL31oWfOi4TT5qlq2+Rpdd2glCOGxmOeHWkQHxpEs/RCiG7H1+QgxpG/oUVAhoQOEWQN/EElahFsHoWyzofeHGxXaEG7CrAgMyK9qNAA06XU2XMKeq49qDztgKdsLZBwdP5oS380tHfC/IyTfk92+W3tisumcCEWPwtXHxp4mFX2bH5sfHf5pYWvt5eXVpaeXnmfnx8dm3Y3NDY/PvRmfeTc+MLs2ODb8x6/QctawFVrba4C6XkW1DOgMO0ei3LyZHkEBAoUDq6ngZTFGmGi0Pa1YlUSSJJ6sjtuYe/Ch208b4bUfSwlNqooo6LpX0nnzEj6Bxvnzcc7iZd4KrjNECNzA4zYqkY4YbOv3VZtnRB5zd+dyd9zjbM3o33+ZuS+BsjuNtTRLtSBZsv83bnirYkSzamSDaHs/bEsfe9DV7Ywxn49fsjbG9GxPZW3J4ux6KDj2WHXuui+1H04bslCFLhRMpUOqTacKT99j7cjt3lfXur2AfoHOPPO6JrGmKyiiIOhlz7JMd+8P+9vEf9m388Ozm7be2nSwPP1q6O6Ji78akT/9y/v09t/aeLTh7MuPkR//rk4+3fUDLybCLnjgk9VZRJcDOIhRFVk2xXV9OaCmQrlQgKDUTaSQZ9tPCxyWNReFxJ3+z89Pf/v3jXVcPf10em9Oe+oh7R2eo9GA0H1SJiIul3RmKzixZeyaXmcJpusVpu9XHzepXlrrAmhDGDEANLnmtXVKDcyv72vI7aYns+huIoNgD1dq0lQpuRk/bdTEn3Q1SPUClD6rCpPmc5nhpT7LfWGNWF0GiHFiQQwiKRzT16xYu6ZKTTtEKwZmEmyaQ+jG0xg8U2VR3fMDdEWPemDF/AiibgagzUPWcoXoer5q0lPrRXKchG4MyUF0arLiBiK/jokRClGQVXicECS5lashwN2C6i2sTFLzzas4lQpTkV911a9Kt8mQvlDU/dpgkwxamN/+XFlpfNA5SF+CGJaRp1lA3DlZPQ/QlI3MGbZkyMEf19CGgetRYM4xXO+BCQJHOZV95LohDgXSzMRtHs1A4wH4hPgAAIABJREFUA9LfwQy5EHiXLYir6zh/v+FoDGV7ZM5nJ9M/Op7wfnTa5ymFB9KLj2U8OPmoPl7ML0SUdJu+fdQmn3kFLvqNy99ayFE3+b1/PmgPOF4MedClsVfkTyPkwmhwQI+qu9zws3GrKmQSLr9GyHdO8k3/gks1annmhNpHBsTL3+LzAXwpRIy6tJC2Ua2mWU1dToKDmboUulbcKp0cG5j9zuwlJC5MOOk1+ixSt4lvx7ps5latnsqTFzSyU6lPE3IaLyU9jORJq0Zfv1gbfbU24pl6jSNqdgurirDpR78PBn4Ydn8fGpqfWFxbnv/l5/lffp75eXb2l6n59X9O/zo/sTA1P/8D+fPM5IgDx6SAphPTd9uRZ26zyE1IvU6N/zVIDEiVhnZKZ2ZSzfkMxvl85oUwKZ7TieRcpEduvrf//UsbPriw8dNLW/+Re+wbxomvGXviGZsTGRsrune3ik8918RB2ls2fYYHznQY0s2GZKEiqo57uIZ/kCY+RJWE5wh3x/dsOt/zRRx/S0LvpsTuDUk9m5IE25MkOxOF25N4W+PYm75hb7rJ3ZrO35nJ3XmPs6NIuI+q+LIPTwSxZKspywZn4vq0Ps21FtHJKl44pefQg87wks4jJR0RD5iRCUXHdny18/2dG9/ftDvsbx+9d+CLj2K2bk/fGVEafrR038Hi3Z9+85cPrvw5suBwwqMLidTL285vfe+j3yddutTPbTLz6nSdBc+bku2SQpey1K4stSkpuLoCVdZOTW4kyTAF/I/dV079ZvsHYf/jj7uTwhMfxZX1ZDRKsrsUORhW5TbR/Eaagpvd05ryvDtHzS5Wswr7WHnKjixUUGxVlPv0jBDQ6JRUo70UM6fKyqf191b3teWrn+ZZpZV+sN6mqRD3pDfUX2luisNVxcPmhsmBVhdQ+Zx1AxDddQAUs7bYCZbbVCVOWdmIpm7N/Ix0Skk7f87YOW6oG0MYIbTKrSuwq+8OoUWzRMWsmbKA1i6hjGVD3bKRvkJUT+JFLjAN0yYB6jid/EqfKFrNj4L40agoFuHH6Hqj+sVXbLoEq+G6Tn1BIDgu5p7S8S/1C+PMimSHNn0IL/7xVeH62nskGTbrvj1jqVoiaknLExLrItGudeTJiqlpFXuybmyZRhmTBtqkgTaF1k6ZakfxqoCpwouVAao0rTrNaim0O8ogPJcliy9qOprDOJjDOPhNyZaLBRsicj/Znf7+ntv/8Y+MT87e+fRe6aHC6tMljy5VPb7W1Z2tkFSagc5hq2r61YvZV8icB13yW8gRFznmmX2DeS1yJyaeD1nIH/3kj34Hyhf2UKW9VLOS6dZ3rr3pJ7+zkz502asNYSyzpilg4U6/Rmd9+MrbgcnXEAa1A7oGq6nbQXAxUxds5Jjt6lAQC7g0Hlw06TGsj7yafIUOOfrceK/T0gKCVJ2+givKa+1Jf/g09nFPKmJgOsz8gF077DR4rXqdpvf5/8/Vm78lnej9/9TUp6ZOTU1lp+1u8Vh5WjxaXpp+XPKYOm7j0rg0po1LmZap5ZJrauaSa7knCMMeICiCMGxKIHxACJVACcQgSIKR0TQdHX1/fzj3/d3+iMf1el7P63m9Hn2vBGKW7P2ETK9W/P7RuDq/AqzPfV0xf1mwLi8sA8vLwJoVWLH8ubD4xbzx5fOKdVompTNpMCkfrxwlK0YpUxMcuXx4WNCHonZ3EJ/fb0yKKg2KeeLje/8cqF+YDeM9iqi5duLO+eM3zh+LunA0wv7yXZcfyjz8np6LbTz/EOb2guhDYMeyOSlCWpqalaMfylNxsyZ46YzBGxBMAJgUgGaGw9mh1dSricjzP0JPxyDPxENPJ0NOJ/acjkfax2PP/4I+n4w89wvSPhFhfx/lkIe9nItyyoCez0I6FBBdX1GDYeRQMiWO1neTQowhEMJaoO7PwA6NKP/SLu+CTp+8toDMhqDAu+67HI+A/uvQPjuHTXYn9/qds/vF+WzqRacsB7e8y275Lod//u543L7YSt+M1pisFzddY5xA+zb5+/gwIY1cREN/aza85oYAlSXF54lxeWOk0ilGo3qkDABAS1//l3PMv0H2x0HHdh51OeqZe/XOixsVyFT4YA6ZVcTnVbIHC7mDxSRMbntLErw9A9+d29+dRwXn0cHZIlyJYqB6aqBmord6GFJI7ygQIaqVva1juBYuvILWlc9HlUjJleKBCioqC9wa39UWz+srML9tN422svGZ4BdRJPhtEjKVir3HIT0SkvLlfWXGwcY1Xg8gwW2I4PNDXUZu/RSjXE4vljPyxwYfKQezjax8y1DRMqd2lV2/wqhfZlYuDpWoGWlM/HU8Iug1JpCIDSKiA0lwfwoykI0JZ6LDqLBgEsyvH+NH6L2GIHjBsV5YjC8NE8LBRDIIN+RDD2ZHS/SCokWTPQCAvurcTeyClZEygN8EcF4BrFcAtxUQtQLCto2hFi0rXzX4aIaWb+KUmnhPZ7hlKm65WlAp4RdxOdliSYngbRGaefthq7fLnT2nb2x1Svj2RDjoUBjI5jpoz3XQqVu7/LNOJeQ75pb7lNdGNLelIJB5pN4KMqFayITOK/lWOccyzjG9Zc3JOKtq0ZpGqJMMcAdfDVO7DOODc5Nsi5IlpPeQkFWwjjxYa7aQ9HLtHWtdMbTylrY8MTBBb2Xgq8c43RohRTfKmFcJze84QnYPjdo4zGrjDXUz2W2vyS9JjF8VCo58lCjhwOYUQ2vaMeDjuEXJkr0Bc1m1JGI+Y7CMTi2nUyvqYPGovrxhTjO5r4E5COaxsQJer1hIFogGFe+lU3q10mxQfTHPri4uAhvW1bXF1dVVYH0D2FgGNqzAX/PAyuraArA8t/plRiKlUwZhilGKQclTv+MZtBNqzbhUwSOw0FBq+/2muz+XhydWBYc8vAzqf5OD5RWmdkWfy3Rwy/EJLo3weBgQUhL+Q6FPcOWV5G73CmoQXHiLyE/ivkmXc3I09FztYLaWlWvgFQwzUqikWBopAk8MBJN8y/vcYzHn/VB2P8PPxEBOxUBOJSLsU1Dnf4GfjYefSUSdu4899wh1rgh5sRh+IRd24X6PfSrkTCrkTBHCsQbt3YgIACNCCfhwNNqnHeLY0n2+DuZXAw5LKfEJTHf1y/R2SfQ66ue80+nirn9dOubvcjrOxe62q+1d9/MZV11zPTzyLx0N3++aeiaxxqcYElPalXD1lgvowGZHJydSY5EI3UzpKEDU3eKC01SEfE1fqbKvfIpa/Un9bwAADbBtNp21Ax07DDqz1+mGU0T11ZRG/wbUTRI1i8cp5w9VUchFeGIOouceGVtAxZZyCFXDuEoBulxNqpkiPDXSm3S0JkXvcza4lNJWKIA/l+PapaiX7PYSTnepBFutHGycYjTI6NVCatkwKV80WGp+264XNBG6k56VXH3+LAAOuUnpvcch56tY1UZWk5XRsiGCA2/RK4LuxTetOmr1FKVcySxVDhWP0XIUlEeztKIldtUau2WD/RJgP19mlJkGsycGbjFwYVik72viNSLBj4T26Yd6U6C+DGQAAxVIRvhhYV5EnC8a5wlBu0CxV9AEb0LvtX5iAIccK2Pd1XBz1Yzcj/8nHABAa193q/uSDcTUBUruBqtynVm1zCrfEFfOiUrEA7cp6BhIty+HdnOCe1fNy9ByctTMQjWjfIpVQBtM66LFP0b7P+r2/iHn+N5g0KYfQFtDQdt/BIECQNvCQTvDQedT9oXkOvxc4pFbHtjalUIkFBMJ5XTqSykfOyWlWTSipemxlWnZwrsRo3jQPEpZGP9NL+qT0qFCUruUCZPw0Tw2lD3QLqB2cvua8dBi3QgOeD+8phyySget0sEJRg8DU8MfaJawCBrRbwvvRbPvhmbe0hRi4jCrR8CFM1gwBudXrgAnkvQJRnCSEbxRzgH0Y8BHmU5CHuP9KuC20+hPaexSBrcET81s7U0G996jUKuhPSUo+PNhJkb+lqFQcFQa0axZrZ8zGv9csACABVhfADYWgLXV/9bZAmsAsAhsWL7OL6z+sfzn3Oq8dmycw35DlEjZBp18Rq9Uf5hcWLJozfoxjZQt7u/nItGszueYotjia6BhQRVxpDql/ca5B05XCwODyyKvFgREVIYHlnoGlzvdAbvX0ELBnCjCm1t8fsbEULacnqWgPpiiZalZ2WLWPTopFosOaoW6V8Mv52Iu/Yy0D0Gc/bHrSFjH4Z86j/4MOZkAs4uH2iYgbJPRZ35B2N6Bns7sOfOw59z9HvsUyNlfwKd/AZ9N6T79sOdycY9nAzIAQggG471b0S5dONdWZEhxw7XApAv2obZ2Qaf3eRzfYn9ky6mTBy+7Xwzzcbt9zTHN++wd9/Ppnq457p6PnU7HHXROPZnS4FuJSnjUFuuR4AQ6tNnW3ra99AGto4r0Ig9flySCZmiI+VpKuYpaqaA9/zK/DwBAcdnHQUcPgOwOHvc/l1Z9sxQaX9lzA4JJ6e/NHiaX8slPaZj8fvQjXl+5iFotoTYoWZ1qZucMo83MaddR662cTiOzTU5sYINL6Z0lQkS9CFFPaysRQp8qcA26wXbz0Kt5QY9F/ErPa1ayq6dYlZbRVh2vngpPbakLfVEXiobE04kPNPx6/ZsG/eDzWUrDCh+8LobO81vmhho0faWK3kIluUjLKNOzykys0kV2xQr76TK7cZ5RbaaWGCg5M4MPlPQUPjmGgg+m9IWQCYH9SD9yjw8N6s9BhQyjQ9moMCoqgIrxJ2F9CYSr/WQ/Ut81POEaqdefy7gpYiUJabeHexPY2LjV5W8BADQ+5DOMCB7Dxs8O5ixxSxdHSiziAgEj8UWX56PaC/fLTsFQAUJmkkGYax4pltNzmbg0PiUNio/OQ/lFtFz44Zmt3S9btgaAQAGg7T+C9kRv2RIK2ha2+WDMt45JRyLyXDOrIp41JGAxxfTBJnJfk/gN2qwesWolcx/GgE+qDb18WS2an+AsTjAWJxhGYd8YDcrrbRUyYWI+RsDDSvnYGemAXjog56Es7xiAUbY+LTBJB/Vi8hgbzhloFbO6J7j9ipGBWTl3dpKrHadrJgblo0QxHyMd7dNphg26kQkZbZiLEQzhtRLGvFKgl/ym5ONVYqxGhpaIWocFVf2cnFZCfB0uAU55BMHktnfmkHDNYm7vjIJn1Irn56aX/jRbV+etwF9LALAIAMsAsPQ/IoX/vG9f2VieXzQtLerNn5VWk1IuH5ZIGcpJvtE4OWvS6Ezaha9/LK9+nZsz6gwTMwbJlE5AHvn1UVMKSCRoQ9OqIyrD7dKcPIsDvQv93HPcAks9fyhxjKq6mNntVo7zbR8IfM2OYby5zWHeHR5I4Q/clQ5mTNAzpJwHVFIsFOn/rPvyY8iFDPiFWLBtSOfJH17sD261ieg4GAM+Ggc9kQA/8QvqVCLaNg5pmwy3TYeeSYfa34Gd+wV2Pg5qHwux/wV2MQV6OR3i/BjmXoF0q0Beqsa4tA/4NPYEF9QGRiS6nfWx2/UvG9DJnSCbnSAbm53/dDxx1fXidbezsZftfna+mOrhkevuW3LF8c6xc0k28bVe1djk9KbrbnEOW09uO3Rq/y9xYa1PshFVD15XJ/G678rxjxTkEhm5TM67BwCghS9bvj1zdPOpg6d8zgbev1aNzIERH0DRd/GYTAa2QEyoVvY1yAgVY71lhjdtOk6rjttp4kENQ90Gdvssp22qr1qKrZBhqwTICmZ3MRtcKkLVSNHP+dCnM6RWK/tXKxs6x+5aFsJWxD2zQ00qasUMvdL05rmOWyMZKGDiHjBxDySDRTpBvV7QpKVXKfDFWmL53FDjHL/ZwKnUscpUpFwFIUdLKrLQqpc59eu8eoBfu8YtW+RWGuiFClKGhJgioaRIaInD5FgKNoTWG07GBFOQgUx4CA8RxkdEiJCRElSMAB3JRgaTEX4UnB9jIJjSF0Qk+FH6QoTcW4KhRC7jFpMcyyTH6rRnAAA0OXUCi/DsRwRISAkz7AwdL0P8JrEF6/XTswNOWZuCS/ah+yKn+I/mR8usgnIF6xGVmEwj32rpDU9HelxtsnUoPLAnFrQnErQrDLQjYvOuyO2bg7bsDd/lnn7hp3zPJy+S0bhKFKKSSm4Tv8EqRilz06PLnybn9Yplo2bDNAl8Ui5pBDPCPjkbOcPDG4V9Gi5WxcNrpYMzyiHde67lw+i6aWLdNLGoE60apYBVtaQVq0WUKQFZISAqBESdnK6XD2vesowKnlUrMk5ytQqO5h2b/wYjEfebdKI5g0SlGJKKB8eEFJWIYZTxxGy8hI3ViAn6CZxY0PSa9qgGG32n3b2oJ7KDeK+6MwWBLpUMoURDBMEbokLGWloyrQNfV4C/1v97yQ6s/48Kfm19efnPP4D1hZXFj0u/Ty2ZJ7STbLF4gMvrlUjpU0q+eloyY5jUmWcsS3MAsAH8tbyxat1Y+7y8bJj6IEQNtIK4g8113Vl+WVc9cq7+WBXuW3jV86Fj4OPz8ZUORd3ejZiAZzAvCCMEOxRN4NxEUGPQpBtUShKfkS5m3OMMJhGIUa9wgZVI18dIp0yUY2znycDmgyFNNpGtR2I7jiaATyZDT6Wi7FLQdonIU4nY0ylouzT46VTYmUSEfTzyXCz8XAz0bDLGJRnpkgp3yUQ5P0Q4ZEDO5sEdanq9nnQEPmu5WfAk0fe6z/5/Hd9iu3fLsX3bjx0CHTu+9ezx7Y6Hd7gcPuhv6/iLs2+u9w8lHm5ZZ08lHPDNv5QFvvlLzXXHKEfQ0a07/74zMNj3RfEjWnMpozmTC04X4bKFhEIqIuetxAEAQD2v/wY6cNDG8YRnjGNMrs/DlriGtpjGlmhERwoDki9B1WqJrTpi4yz1+Tzv1Syr1chqN7K6pihNCvJz5UCtCFfCgxZLcVUTvfVibDUXVsroLuDDyqYIDf9ZpZvpnRpCjZXRusJ9pSdXTqBytb2FOmqZmlo6RimSUgrF5FwpJV/FKlOzqpQDpSpisYFWMcut1nBKJhiP5PQsOSVDTckx0yuW2Y2r7PpVbu0yv3yOWzDDzJ2gpnOJt+iEG+y+uOGBODr+ej8iiIIKpSBC2OgIESFWiouTIGIl8JgxZLwcd1OCjmLCQ2iIQBo+hEoIofSGMMgRAnYSj3lrmJ4wTE/gsm6NSgIAAPRlaXs7/HJ7l/Prbl8GIoSKCYRgve532LkUbzmcBQqsOUjjJc9Ky1ZHq1fEVTP8gmF6KpN9+zU38QktJAJy0eGJzaHEzWdvf3cidsfOsE1bAkF7w7/zfHD5SVdyOyKXzWxXiftELJxcOGh6L1w0KNYtGqteoVdK5nWTgHkK+H1qRSsaG0KzCS+VLOTC+G+L47/NTwwvT4vXTIqN39XAFwOwOAtYtRvmKeB31YZJaVEKVCK6ZpShl3FMkyMrH8ctGpFFIzIoeVa9dE4n0av4M5M8iWhAMU7XqnhaFd8wLVr8pLROywzykfn3krERspiDlb/BKEZ6+geKKroj4usvBz47ndzoe78p9HFD9DCrzSCnDTPgCFQzk4UzmHVLfy2t/X+8mf/tnF5ati7MG1cXDHOfJuaN0qVPUpV8kEr7lcqAT8h+U6v4sne8ifcSlUFlnDctLc6v/2ldXTLoDGNyjWBCPTImZ4FgXTkp+aE/3PXIaLxVBEv7pTYkpsw9pdr1SacvBH/9NfkGnHAdwroOYUa3UyNqcMGt+Ag85RaDnsakplIpSVhidAchuBTp/gh5KRN1Kb7rdGTzidjmk3Ettokdp1MhZ7OQF7MwF++jz9+B2yVj7O4gbVN6TiVDbJPhp5PR5xOR5xNgZ1NgTikwpyyMaxHpSgH+Uhbi3GOkSyXu2qPW4Ny66NyylB9iA/c7nth8Zu9Wu/27zx7bZHts00kb0LGdoBPbtjnus/3xrEeaW/Djq76P3ex+OWmfYhdWGRRRFnE6wgn0/TegXbt8f/CFVpXJke1iWDm7J4uGysKCM56VxWm0fwMAUEDM97vsTjkHOMSle2WUBeY2RD2rDmusjcS2pTLBhTJUraa3RU9qmqO/tLLbdZSGmYF6LbVpilw/RXk+QariY0sk2Mopcr2B3W7ivlIO1DPBuXx4kZnZDkhwgBhjJL+cQj+10loAXo+FUqvFFM6Rny4wnltZNQZWlX6ocoZbqWKVKBlFSmaphllm4lZahTVaXrGInj5MSeRSEobJt8boGRbe0yV+g5leoabkTFDTxNQkLuEmszeOSogl90ZTSbFM0g065joZHkyGh1KR4Tx8rJQcLyXcFMCihJDoMdjNKVzyFCFJjIllIEKpyFAKNoyKj2AQo3gDiRxSPJt4k0O+OUxP4DDilr7uAAAQmvzPlg5nVIc3qfsaGuzZ0uN8v+P0v5/tOfUY9O/KfZC+SCkjw8otWxut1nBzibgoGjuJKkptZF2P7DjnULjv1J3tLukHz8bs3h0K2hO6xTfbuQWbK5bCREKoWkbWj/+mkjAs70VLH8dNGrH5g8SilWjkPP27EcCsnFPxVcJ+IR3KJber3uAWJ1gLb3+zjnJWVKMbhkng9xlg0QzMzwKfpwHzNPBx0qoUGt8Ozb0bWXo/Oj8psqpGF7XjpmnRonFcN8kzacRLJsXstNigFho1IvOHUa2KLxHRxiQMk0Ziei+cGeeY3/P1SrZ8BD/Ghcu43a9xuZl1/j+VO0TVOUWWufk/dMyrj5IJYQY5jcdCITBtfD5F+2lm6a/l/58D7D83c3F5fnFhdmlOZ/ogs+gkKxa5Xj1MpUMZTNTUBFszyeOLB5lCGl/GU2gVVotucX5GbxSTuLB2YgOB0yNXDILul4RcjXf0SHAqbbpbjcxOrYtMqwnKawxuBEe39FzvQsSiCEmNxOvPCREVyJBniLAuUiJtKEfIK+Gy85n0LBI1DUKKLe7xzuxyedjjmt7tcqfjUmrLpbTWy1mdLgVQ9ycYzyc4jwKsax7aOR11IRNx4SHs/EPohVzMpYJe98cEtzy080O4y32oYy7mUhHp8mP8hTyMQznO5zkh4k69v2fiRZfwS6f+92mQ3U6Q3bcgu53bLxzd4XBs2z8Pbz61B3RkO+jk9t2u+y/GOvzw0C+wIOBcioNNzPHLWa6+hSEXY71Bxw6Cvj/s8r/dXj0pnsL1yLDPKYhcOPRBxbNbN1PcAQC0vALaYbfPwcfxzv3QhtoEWHc6CpHZD82iwbPE+FJ5b7Wqt1Hb91JLbphlNFtYbTMD9Zq+Wi35uZHZYmC1SAkVPEyxGFcm632qptXPC1/NC18p+qoUxMo14a/AWywghJuoL2cItYv0ToALXqI1W0hP54gV85Qqc1+FhlCgIuVPUfJl5Cw+8Z6Qmi1n5On5pZo3ebzB5H7idSIpkkQMQ+ECaeQYJfeRYaRkbPABHX3jNTIEhQwgoEOI+HBybzSFGEMjxjAIMQzMdRo8rB8aRkGEMbGR3N6YYUwkvTuU3RUu6IkRQmMmcIkyXCIPHcvBxHBwN5i9cWziTQEpWUBKFpFTZPR0Gesun56g/3AcAEBiyT+w8GtsdIQAF83AhqKxvpUw59jGE+cLN7kWfpvX4QrpCRH13tVxCnnEpOYmzy58OJQSVYz2vlpmcy5rx7m0Xc5pNqejdxyL2OaZdqaiO0Uqg5v0v6nGe9VvB2YmWGopa0rKmBilS8UUrWLY9F4wM84xveOtaEeZfd1wSCWN2CLjoIwS2oJ8yCplL4+PANPjgFEFWPTAnBH4OLU2PQGYNHPjI2rugEHIALTjwCfV2gf5glpqnpQsGeXAvNaqk5mnpcufp4yaUY2CP2+QL3+esujGRAIKngQmkbuHWb+K+WilBGfW0NRSrFKIVAh+pfQ9LWqMvlPl+7AtJO6p748PXRu67yqlaM34gJBPZLAI8neiuS/W/7c1cxHYWAT+WgLW14D11b++rizOrcwZzLoJi3582TKpmxYxWWguF68cZ01NsEXCQQ5/gCtmTEyOri7ol6xTGi27q68qr/NeNSKXwmkBheRccYi1Pxt2JjYzIv5pdGRBUPLT6+mV14ubb+bWXc+oCslruH6/OTitzj+1+lpBUwQUc4/LqpLyG0Wcejq5mE4pIA9ktyNu1IDDGpDXaxDXa1BR5d1BFeDgGljoC2x4Mz68AR9U1xv4ghz6rC+gjhTYTAxsIQa1U8MhzGgwLbKVFPwYejkLfOEh8vwjwtkMjO1DlEMx9lopMvynAvddbts32W3ebLsVdPabXVf27bpyePeVk9svHdzhcGi3/aGdp/ZsPrZtyz932QbZ/zs9wP9h0Pkkxz2RB48l2l3O8nJPDTrofHnr38+c/qf9s/tpop6X4t5GEr60GZydmB11N/+/AAD0Vr7pxJXDCff9WxvTSeBCHq5MRq6cGWzWUJ7PMhqN9AYdpUFLbpD3Vk6RK2dZrXp6s47SoOmrNTFadLQmAapIhC1VDdaMkUpFvUVqVrVV2Kql1yhIFXOclg3RrwtDXbOUZj2xXtf7XIevNhIqZ4nlq4ONywPP9ch8afttfls8u/smtSeOBL/R35vAJCXyqclUUiwMFQDH+78mB8EJPh1IDzDSl0KOErCTOZR4NCqoHeL9AuwORwe9JoRTSFE0YgwNF0XHXGeiohjI6/2wEDIyhIINo+EjaJgwKiyU3hPJgUYzIZEiTIKMeFvWlyobuCvquyskpYoG0mQDd+WD99SsLD0vR/MmU0RLfCe9DACgmenDZGQgDxclIsTweyOo5NAOrHfGi3NuxTucc7fF15/NbXSFwSL4lHsUTEJ1nUdRt3cx2CutxdEzd497/n633EP2Sbv3/whyjD1Q0BjTT61XK/pnp9lKaZ9UQNC9G54QDQq5vVwOXioaMKoFlvfCGQnDIhueEf/2GlYPA1cJGXD9W/qiSrAxLVtSCADNGGDWAHN6wPoR+KxdUoosMu6abswsZiuZvVo+ZV0tAfQTax/Gl3XyOc3YklG5ZlavmKaV/pmRAAAgAElEQVQWDYolo1I/KRwT/2ZQiYCFj4BVr1eNUigwKKq2n9wk5HfJRl/NyH+dkvQoR39ViOAcWnNrd+bz1qRXiAfVPSlFTbFofPHUW6xS2k9noIZHflNplWvr/0+SXQGAudWl+b+WFzdWltdXNta+ri18XrHMWHVy0/SYcVomlrK5XIJUSFHLOWo5R6vkGaclhg9jcyY18NWwMq8wGDlYdn0RJDW3PRFMzAMFlnq6pDof++GMU6Sbwy9XvNOvxZXeiMm/nlGdfL/q1k/5gf4Znp63Hd0SzrnH2UfdvVL6NBre/YiELCbAitE9eVR8GW+wkkLMIxKy+im5xIHc1wM5rcj4VmQ8GJcIJyVB+2529Ea9GohFsW9BWUlodjKBmUxkpZDfpNFG0vuHUl5T4tJfnElpPZkJt3tEOJ2BO3UffTET6p3S4uOf7gD6Jwh0BLTlH6CDrt+5xjpcjnE5Eei084rNLqeD+84fPXj28M5Tu7ed2X3s32c9Ev2vPvC3v+W4O3L/rtgDx29f8LgfYuvjDdpvZ3PoUFp0JLG+lIGqhqELcxtT3KK9ntRtAwAQBPG3n1M9wJB0Zm8VE14hw9ZY2K0rQ7BFducqr31pqHmO9dJAa1QQKxV9TzW0RgOrxcB4qe6r1lHrlaRqLjxfSa7RsxvGKKVs1AMBIVfHrtHQKid6Swy0+nlOq3GwUUeqV+GqxOACXmumrCdXiy9eJNebsGXy1rThZ9G0qjByUzgJEk3DJbzujSX1xvQToiAIvxaoO6zvGp4eDCF4dyA9msHOr5DeJHJY/0AkAhvQBfNu7fF8hfRHYUNI+OtU7HU6OpKNjh7Gxg5jYymIMCo6jIqPoPdFMohRbELUMDaWi4zj4+IlxBTlYMYMO2+GU6gYzJYMZEzQsuWMDDkjY4p5b4qZJh1M5JJiuIP+AAD6uvQtFR3MxoTzcBH8vggRJ5bEiHiOcPcv2++UvS2w/Ghc9bkGWAiHlUknp7a0BT/s9MxqvZLaeMG/0Cas+sy/n5zaH7MJdBXkfuMkHFMg4sM0ExSTekjxlsJkouQSlpRPUUgZGvmwRj68qB9b/yg3jrKmhvqGiT0kVAufBjeOs+eUvCXN6Oq01CLjrqhGAZMKsOoBqx74NGV+O6QRUhbVwlWFaObNgJZPnpsYMsmH5tSiJaPSqleoxnnqCf68XrFknJrXT+gnhVIhbUo2BHyZBZbMK581MtEgoe8lhdLA5zWJhE0S3nOZoGVM8ErG7+EyWvHo8teIUia5ns6pheHy8YRymfBXmRAPQbcwRuhGi+H/JnMdAJY31ixfF6x/Ls6vLi1+/WPt6x9LFv3iR9W8dkI/KR6TcvrpGDYbKxVSFFKGXEo3T48C89Nrc9PrVt36F93i73KrZYQtffUcm/Ww7QaYkAUKe+pz9YHb6fBzx/3OnAg9e/7G5R8ygxJKbvxSEBPxINgj0fNstOMe32M7XPfZeh/zDr74Y7jzT1FuMdGecXHXCm6HPXkQ3fEsHd6S096U3t6S2t6SUl0dXVod9vhpUHNbLBSeDIbeBMPjYNgEPPn264FECuMBk1PIYBcxmMUcVsEw4xGbmpH17FJU/pH0NvtM2PlkyOn7SJfEjivxTe6uSbYgFxDoHGizy9bLCRevPnBzy3A7n3J5t9+x7Vds9lw+eMjp6M4z+0H/2LvH1dY21PV0uPP5KAeX2xftbh0/GH/scOy5nW62m08c23nsgNOVc2lJkXVVOY0dFXE5CTsvHeaMbAIAUEaJTWVtOJucw8blClGlpoHGFfrLDToYYPcssdvn2E1znGYdvV49UKunt1hYbQtcsJnZZWZ2WblQPfOlilJrHHppkXbK6CUUdAoZkzjcl87rzRD25kxRyrW0p9rBSmVfuRRdyO3OZrakiyGPDH3Vpt4qeVeWqDGZXRWNLwsgtUSwe5MYlGQ0NbYF51+NcK2EX6pAXG4meraSPZ5hLlTCLlZDHF5AXVFo//7eMEpvGBHrh0J5IZA+JFwwgxjFIcUO997g4G4M4+O5xFs0dAwJGYFHBb3GBRFwwWRsOB0TPYy5KcQmKagPZH1pambeDKd49k2FnlOqY5aqaHlqRq6Ceo+Hj6PCgknQAAoqaG11KwCAfuu7ikf6U5CBDEQQjxQ1zLwJIQUn1ti55X7nUXoooupMZZcfnZqKwsY9bvBIbruUUH06udIu7umphGYn3/IzO6I374zcGpntSuit0Ir7jKMstYjG5+AEvF7VOEc1ztMpRTOKEbnkN6tGvKIRW8fZwr4uMqZNysKb5NzlacnKtGxZM7agHJ2Ti1cmx1Y148DHScA4taqTz0jZY0N9s+Nci5w3946vEdLVAprl3ciKXgFYptctGuN7sVzCmp2WrM9NL5kmTVqpcnxILBy0vlcCnz8CX2atWhGD3k6kVJIGS4b5VcOsMjq9fHionklvFDK6hJRXY0y4mk9UidFMaiMMXUgcqCUNtEDxrcJxofXPJesGsPjXGrDxFwBsrK2vLf61Mr+6NPfVal2wqj7IpXK+UinSqGQT40KBaIgvYivlHIWMwX9DEHLwmrfsNcMk8HUOWDADX4zAom7hs1TwFt3RV1qJSK+Dp4Fy26My6iJiH/pG3vXySHB0jb/oesvRN8X1xzseUfd9fsr0D8zwsY+zPxVxzDflcnz21YQMr5hU98C4SyEJzvG3r/x82zU50ys991rCffeYJOeIOAf/6/buocfdgo+ExZ9LzHS7n+/9sMQ7q9Sr4JlfS3csGnuPSSvnc+qF3EbJmyYJu5pPL61uDkx/6pTRfCm1/Xxy5/lHGK8s2NW4xkt+D88fCtu9J2DXsYjDnvedr+a4uz5wtb/tdOKGw96AE7tcD+1yOLztzAHQmX3bLh3Z4217KviCy8+X/DOcPR+cc8u84HDbYb/PiR0OhzYf2bnXdt/5K6f9r/vGpt9wifLZ/M891nkQAIB+SnEorwmCQ26iOxOZ3dl6Yu06s3Nt8NUKrdNKfzlLa9Aznuvo9Xp6k4ndZuV0rgrgC1yolQNeFqCWBNA5XvvSaPf8+KsxZhkJlYRFxFFxyQx8mpCUq2JWGti1GlrlGLFEgMwbBmcy29NFPY80vRV6XMUUJEfR9UDcepvacJ0BuSkcvCfgZhJYCS9w/gU9jpldZzO7zhbDHMsRDo+7bCu6zj/vcuiAehCxQUxiFJt0nUkKZZKCab2hTGIklxTDI8Zye28M4+PY+Jts/E0KMgqPCEEg/BEoPyw6gIAOpqGjmJgb4t7bSnqWsDdF1Ht3gpJtGalaHm1YFDUsSxsM3GIRIYncE0rs9iNBA/rh/oYPNgAAGhe40gnhdEwIFepPRQURe0MbYB4/Pznq/nC3R/HBfxceSat2et17C4aLy6h1i6y1Dy48EvH4YHLNuSKEf3C1w47ozccSbQoaY4ZZrYa3g+a3Q7q3nDHhgFzym/G9eN2iXfqkmlWP6t5xl3Qyk3xIxSVIKNAxTu+MhDGnHLEoBRalYFkztq5TrGuVa9OKlelxs0KoFrPUEo5STJdx+/SyodUPMsCoWFJLljVSwKgEftcA83rAOrP6WWXSSBYNCmBOC8xpFw0K9QRXKqTpx0ctqrF1k2rVJONzwVBs3gtYMpacTRrIIQ8WkanlDOpzCeOVfqTXPEpbfMfTjmJ5zFYEthSLfwrH1vTT4dqPk8sbawsbwP/E2bWFP7/q5iwq00e1WSfXqrgyHl0wyJewlQqJVq3Qa6eMBvWiadKkHZUJyFwGWvKGOKsQAnN64Mtn4Kt1Y05n1Ip5UiLxzSs0qwFOLgORBnLplJJ+bB4Rlt3Vfbe6Ka6gMvJxefizqhuvWu9BwY9aOzLv14bHlfiWdsS3oO51oB90oB9UtiXUtN161n6zoDG8oC64sjmqufVWc2PS86e3KgrjMzJCMzJCC/KinpTGVj69UVAYlnjX7ZfUKykZnqkPrmXkhpWWJ7a+yO1H1fLIL6WDbRR8ARyRBsGntPfGl6OCyrFBpWi/+51usZWuzndPXEw66XTnjHfepasFVzweu7rmudndvbQn/NQm9wOb/rUf9M99mx1stjgdAF367vgPJ4LTPDKfhWRUX7tT4/tzubf/A5cf0tztvO12nt0DOrR1yymb/c722/91/OCV7wEANL+wvbw6sqEppLU5BN0ezwY/UqHK58lNC6TmOXLjHP2lmdVsZDfPcl6ahtqM7Nb5oa51EWplBLnAhW6I0cBbzKKw28JvlbMruORH/bhkKimVS8/iDmYJKLlyVrma9VRJLRvrK5YSioSoXE73PWZnGhfyQIksUMByp2A50u571OZYUlc0vS+ZyUzFs2+2EANKMc4PEQ4ZYPuH4AvF4AtFHacbui51gN3QiGs0TBgXH8HDh/EJoUJiKI8QPowL52DDhjERw9jrbFw0AxtDx0ST0dcJyFAUMgCF9keh/QnoYDI6gomLlVLTNNxcMTlNQLwrJt4zDJWuSBoBWcvGRJN+qICHie+HhJB7AsnwIALEb0JyDABA0xOOwoFYLj6CDLlGhPmh0P7lbU4/PT7kmb37avEhl8zvfsw/ASPcRJFTMuo8fig/FVh8LKrwREbDpSfwIP/y8/vidrsVX4L3FsvFmNlxhmmcOyvnySW/jUkYavnI3EeF5cOERStb+jgOmCa1ozQJHa7k4FTCQeP4kOkdXzcxrJ/gL6il6zrFum5ySTMBfFItasdnJnjm96Nz06N6OXd+WrJmUgDzWsA8BZhVgEW9YZ5at6hWP09u/D69aFAsfJQvfBhf+zQFWKZXDMoVg3J5Wql9y9O8ZRlVbNEIGNGb/7w7DkxIRRPS6cwSMrWMOVgroXdZJbTlCS6gHjXJ+4fpL9vBj7qg+RBUpVLOAdbmgf+pYTc2Vha//qE1G3iqCeq4mP9+QmHQKj+pVQal8oNcoVaop9UWk2FtyQosmwHrjHFyRCWiyflklYSx8GF81aQFvlhXzEadRj6mEIy9509o2IK3aJCcUTvL75zltOnpLTNvukQDz4k9uZD6VPCzFHh1Wkdl6pP8mMSMa8lZ1+rabreAM1rAGVBUXl3b7boXt19032vpTmvtSgGD7+JhOVREOQ1ay4a14NsriJ2VZHAVFV4zjGlgImtJnUVUSAm6taDxafqjzLj4hJDAH338g73jfw59nJWI7SqGtueiEAV0RiWRnv+qL+kVJa6FeP0xJDS20i2k2Pnf+Q4ejy+45Z93yjt3Od/xbI7ToaQzu8NO7g04dSjgzKngcyeCT9v4HTrseyDqgVtde1xzd2xBk9/9Bu/Uhmt3mgJ+yg6yDz0HOrMHdOg70JGDm07aRN09BgAgveH7mrrQgjL34lI3bEeCCFU0hS6f7a2dxT839NbO0pr0zEbVYI2SViMnV/EQBWJ0iZHWYmV1m+mdi0PgZSF0dqhJPlBKRt2mYG/T+u7y2NnSN/l85iPuQJZoMF9MyhP35shIhQpyiQSbxwSnkduS+lsThd0PRF0PxN2Z7NYkWFVwa+21ru7gV4jQRtS151ivaqJ7OdEtD30pD3yxvNuxEeYMg3u/RviRkYFsVBgPFcpDBfMxQQJs4DA6mIMKYiOD2YhQJjKMgYygIsMpyEgq9no/Juw1JhiN8UOhr2GRfgRkEAUTLqOn64WFqqEcBStXRs5Q0fIs3PJV0XMDp2CMfJeBiCb2BPXDgv5Dpoh7GgBAJu0/pOQbPFxEf48/Hh6AQAWUNznG5B30y94TUnrM9cF3/tmHwb0JREZWQWtQWLl9cq1TbotbbrN7Ss1ltwcn7NNPJHRGsrntmvH+GTFNLWRo3w6r5FylYkT5TiiWsFTvRhY/KVc/KUzv+AI6mjsAVY2QNaMMwzueRS2Z147Nayfm3svMCuHsON/4TgR81gDz+hXTFGCdWbeozGrR0sdxwKoGlj8CC1rAqgHMqmXDxOonxernSWBhBvhdbVaLpCNkhYhmVPCtmlFgbhowTBnGh9WjA6b3DLUcTWdXN0DjmxHxXcgELDkbjssi4Uulg51W8eCGQgBoZfq3BDAkN70wvK4tE4urnzeMA8DX1b++Lm+sr2+sLHyZVX+cFL6XvxZzYQI2QymTGKa1i2bLX3+Yvs7pLCaj2bT45Y+NP5eAJTOwYFjWj1smeVopXSEa1E8KrXrFssWyZDZbDEadTme06M3z03q9EPS6OpXemEOuziKUZbQUJFY8iEmP8/vJzzH4yrkwtwv+zvbn7Q4dP7nn3Lkjnt7n7S8dOeFwwNH9lL3zUQfXU1f9L8fG+CbE+UaEXfLzPx8Y4BQZ6hUXGfTwdvSju7EFGXFF2QktZRmvm4vonZVyQpeejleS0Txkd3tleUhQgM3J48fO2Pn5XUtJiEpLial5co9BaJbxXone1HOGiogDac+hNx82hdyp9/+lzjeq1jWqwTWk1jms3s2z2tXjyRXPQg/f/Ksh+X6xhcE/F/r/+NDdOfZE8J2LT+rCXkETK1tC7te4/VLn+mPNxZjKMP8cP7uwS1svnNh04pid88WGlgsAABK/PVT+LCC3xK28zKcfkjrWW6bAVWhwlXJEmRCaT+/ORLxIbqmJ7ai50fos+lmO/4vCcGZHthJXpUBVypBlE7gyCb5wGJNNhN/qRyeS8clUUgqVlELGJNKwKQJyNh+bwUffG+vNUZOLpegsdncqozOF1nmb0ZzMaE6mNSdha6KbS689K3WrrHGtbnYrbb1UCblUg3Wu671SjXOthru0I9yxvdf60UEUVBAdGcREBA0jArnIoGGkPxPpy0YG8lDBfHTYMDqUgQihwoL7YUEkWAgFE96PCSNig7AYPzjiKqzHE9FzFQv1E9GS9aOFan7eFCd3gpapHyqycIstQ0VCwi0m4vrrbn9Ulw++x68fEUBGBgrZlwEAZJ39u6g3ioMOJ/b4E5BBCFRAad3FqIcHInIO3Km7EFZ4PDj3WCvmBoWe0wiOe9ToVdp+rQUdVQ0O+invjNMtG/885wJ4ingUrp2gTLzpEzEIE0K6QTM6b1bPm2d0WtmCWQ1sWFc/KoepyH5sG28QqR2lGRV88/vR5U8qYHEWWPy8/HHSJBfppcML0xPA7zPA0iywoAeWjBu/q03vhQs62apZCSzOAHNqwKJaM8qtGvH8B8myYRyY0wCfJ7UyNqOvhzuIVAoohvEhwCAH9BP6twyFEK9X9itkUDK9rBF2C9b34DUl6xXmbnlTbOOLFDGlxSzs35jkLU5wpNzuR+UxMRm+MESpcAgJWKeBtYWVr1br4vziF7PeMCV9PzqsGH0t5b9+KxzWq8esZs2fC/qNReNfS9b19XUAAICN9eVFYOHzmkU7pxbrx1kTfKKYR5yZFCyaNPMm09Jny+LneYv5j7kvfyx+nZuzqEHOZw54/vOEs+1hh/866HDm2EX742f/cfT43/ee2rf38rETTidPHTtgY2tzxO7Q4cP79+3/ftepE4dtTx3d/f3Ond/vOHbksOM/7V3+dc725KF9Njtsjuw++F/79x7+bveh7XuO7LA58d2e/9p1+B97HRyOuzmfDrt6OfFH3/SYsII7SRm3Et3dvHbuP7zb5vhFB1cPD99Av4DE2OiijKT2qmw2umqC8VI59JKILewC36vrSCrvjM5o8bnf7Z3YeuWXdo+YNo/Ydq+ULv/0rqD7rSGP2sOL2q8/fhGWVnrVL8nuh9v2jyqDCmqDUis942pd/J7Z/1BzLawu4urDoMM+DnvtT0eEh/A4LgAAGvztH9U14a0vbmAhqTxi4djAUxmuTIoq4cHy+9vvNT+Nuv/AI+WuS95Dn8rHgU8yfcof+OLrUsQ9hdy27NfP4hFVsYSWBFJ3MgWZTMMk9yNvvYbdwPbEvIbEMpBJY+QcWW/WBCHLRC9d5FTNkAok0Hu87rv0tiRa8y36i2RK4y1E9fWWMv9nxVeelDlWPHOsaHSsbrlQ2X6musvuRY9jB8wFjvAg46/R0IE0hD8Vdo0C8aFAr1LgPoQeLzTYndDtRYVdY6OD2KgQOjyYAgskw4OpyFAKKrQfHULCBOHRfgiYJxR8BdrtjoJ48ak3Z0SPxtj3BJTbY7R7C9KnC+IyzWAGDRqKB/shOr1RUB8SJoCCDyZjAtn9HgAAWpr/GxcZQocHv4b5v8aEQJEBxbUXojL3pZSerIb4ZDZejis50wKLoZCzUbDbCNjNrp4oOOFWBzI2ueDSD7ftfin2KWq/xWB3SngYERMrZOImRul6nXRhYWbe+nF+Xgt8nQXW52YVQiKqlYp/JWRitRKGdmJI+44/p1MCS5+B1QVgfnbdqF7XKYBP04B5Gpj/CCzNAqsWYFG/+EG2+EG2bJgALCrg8yRgVgFGhVUlnNMIFj6IrdNCs5Ir5eIpve0COlIjHtSKBmdlbNPb39h9bVhkOZ/dIhxpxQ8Uv4CnUDjl7DdPm2G300r8i55GCcnN82/JwIcRnbgXT3h653FY5pNoLqvbMEEHftcAC7Mbi1adQWv8pNFoxyQqIe+9hK4eZ3xQi62fNQCgA4AZYF3917Lhr/9sETbW/lwElj6vWbTGSf6UqF/AQXGHcBql0PpZO//ZuPD5s9Vsnpu3Lvz5dW19eW15DrR757a9u3bu2rF9985vQd9+s23vzu3f79r87dYd/2ub7d8PnTthe8jm0MG/Hzpoc+Dgvr1hHu4Vd1JiAv0Onzy048CuXft2HzxiY3vqxPH/OrrvwL6DR2z2H92/ee+Wbd9/u3nPtu1/3731wLdbvt+6a9+32//2zfZvN23eDNr+7Tf79+87fOTkngPHN+08tPlvR3btP33ijLOt3eVzZx0OHrKxO3U4/serL/LuMtqrOLDnZEjFa1gRApvViIiqw4bm9rhnga9k9HilQz0y4B6ZMPf7na4POz1Lu4MquoLLX4T+lO1oF77fKeZk2H3X2MfuP1d7BNdf9mjy8n8R7P80/HyU28Fztj+Hh2rfOQEACIe/XP70ektj8mtIFhnxiInJ42ELOPBcLrqIhsxraUrIKwwsLQ+FtqX0gx9QO9NhVTepLRkiSAG3LZvwLAFddYPUlkiGJPMJGcK+LD7xHpeQxieki/DpCuIjA61ETymcIeWtcioBUfMqq0qPy5NC79GbEzjtt3ldaezOtP7mRFT99fYq37qnznXPLj2vufii6UJd/YnG+qNdradh7Q7wDsfXEBca0oeKuEqBehEh7vgedxTM8xXkyovOSx0tlxFd7iSYLw0RSIUHUGCBdGQIHR1GQQSTkYH96AAi0g8N94L3uKOhngSkD58ao+Td5VPiueRbksG7On6+mpnBx8aQoQH4Hl807Coe7UvA+xOxfgS0LxHpBwAgAAAxoQF0eDAeEYTABHfB/POenYt5sC/z6ZkOZHB5m2dmlTMEcZOOzyJ03WbDbhNgCRB4XENXxOMq37wnfs/qY6sbkyCYckpfq4COnhLStEqeWis0fFYaP2t0n+QG3bhKzuUMYii4LhmHKOH0at6yVFKOWj6i04xZP2uBRTPw1QJYDcDn6VWNfFkzBpingQUDsGQClgyAUbmslQGfVYBVC/yuAawzwNz0mk669lEGfJqwTPL046wxLoFNBkuYmCl+v4SOElBgIhoY21PW0ZHNpj2XiDpJ9PJn3Ymv8NlgXHZNV3JuVWRzy10O8blZigf0Q1MiZE37vdSSyLrOTMEQVCMeWJqWrho1y5/12g9qvX5Spx9XTIuF01K+USP+YlGurSj+AqYAQAGsy/78Kl9aMq79tbK+tvbX140l07JZNaMcUoj7JTycSECemR6b+12/NP950WpasJrmF80Lq38sry9urH0F7fn+wK49e7bv3rln/95tNt/tOnpgx+H9oL9t275rxzk7O08XZ+fLTjuP7N9zeO/+Q99lxEVia0oTogNs/3XM/srZHUe3Hzpz0MXV0fmy0+ETx22OHjpqe8TmxN5t+3aDdm7dtG/Xpn27Nn+/a8/f9+3es2vLls3bv9m8bcuWzVu/BX2zE7R136adR7ftPr1t92nQjhOg7YdtDpzYsX3X1k2b9u/cvn/n9nNHD5/7h427i11cnHvFs4iazpAuYmQ1xqcc5f0E6/MYceUhwikDej6t82xW56UnPb41PSHPOyJKWyNdE+0P+tu43DgfluX20zPPsEaPy83uTjUe/64O9Uz1P3j+lJ+X+0fVWQAADTNuNNbfrq68VfPsVk1l9KvmeFJPBrHrHgWeQ8MUwLrTG14kwKD3+OQK2UDVBLGcC83jgvPEPYXSniJpT8EYukjeVyIbKJxhl+nePJ3hVsxwy0y8p5ahynlO5cpQjYlSPIPPWqKWALz6DeZTa1+RFp0r7Ejhdt4VQzNF8Ec8yANGZ8rr5nBo/VVok1dHgzO++wqx25HQYU8GO5K7L7/udCRALvdDPShwLwrciwT3xCO8UCivLoRHI8y1pdUR0uWGhV7th1+jwPwpMH8aIpiBCv1PudqP9CMgfbAwL1SPGx7hRcZeEzFiZexbPEqchHFbTE3h9cZTYaGkbj8yIqAf6YdH+cARXq+grl1gZxTci4wP+A+Zb9CBbEw4HhUMRvo3dHimF5+MytifWXa6pcevtNntcZ37a2wyDfUAXR9Pa4oj9yQ2t4XlVnuV1wXCu1P7EXmQ9gcvevLR2Odc2q+6iSGTVqz5IDKaJy0LH81z6im1mEZHY1FtEhZx8f2oWspa1I+Zp6XzH5VzRo3FOL1k+QgszAKm6UWNZGVybPm9DPhdBywYgN9ngAU9YJkGDErArAHmtIBJBVimAfPU+gfpul4GmOSr+tFF9cjsBEvJ79WIyEYJTTGEG2OglENIAbWNjK/k0Os5nAYEsaDoxY1KcHJ5a3wHKhuCyaf0VREQRQJqo0r0K51SW9mWVtyUgiVW8Tk9Cn7v4vtRwDSz8klnNGqtnzVW86TWMC7Sj4vnPqo2VmYAYAYANACgBICJjXUtAMwDwCqwvrRsnZ+bNhvGlDK6TNgrFVMeHasAACAASURBVBAUMpbls3btz3ngzz/Wv1pWv5oX/pw1fTXOLswufpkDHT57Zvthm3OXLpx2PHPI0faih5PtpbNnL9sfOnP04uXzibGRbm6XNu3/dsv+HbtsdnteufRT4DV3t0veXq5hP/rbnbU98Y8T7lecfX08HS9dtLW3PXji8M7D+7ba7Nu0dzdoz65t3+/Z/v2erX/buXXHjm07d27+ZjPomy2btmzfvH3Xlh37Nu+02bTjIOjbg5u324C27gV9s2fL5t3bt+ze9c2uHaBtW0GbQCAQaDNo974tLu4n7mf5tHbFdqDCa2A+lbCQZ8irBRD7h21HnkDOtmCvQvFhUFwUFBUHI2TUQbIcYy+fj3aKLAj8uco7osrJqfa8X7e/Z1OQR5avo8+ZWH9Xk+YwAICM/+chD1+L6s57XpVUURgHrU1nQwqYkGwuuoSBLuD0lfAYFQJ6hZxTP8vrMrO7Zwi1ekKDHtugxzaY+l4usTrnOe2zjPpZTtU87/nayEtA0AqIWwHxy5U31RZmiRJxT9aVoEEkL1MLgaEagFNr6c0da43jNUZMtMXI22NlXQl8aAqpPRZcdQ1a7oaqchW98J7t8rLCPPTYq2K4O6PjMr/LnY72JiM9XyM80HAPPMqHhPNH4/3AeG8ozAsC9YRDvbBwHzLKn4EIYkIDGGA/CtifDLlGgvgSeq6ie7xRME8U3AuO8KKSQznUSBHz5hgnUUi7SSWEoaA+ELBnP+4aHnMVgfWF43xboVfqXji0v7iEh3h//fItAIB4A7796CAE9BoYcrWh1aWg8mxqzpGKGseWNu9nVS41VV5UVKqAkAutjYHWxhC6kqurQzIKPVs6E2GwB1RsOQlaAkNVjAlx1vfDWvlvw2/wvFHa7Cfl2pePgFVv0siGadixoT6jbNgwPmydllm0suU57bJVDyzNbSxa5z9/tH7SLpo0Zu34okEBLBgAixYwTAFzOuB37cb02JpKAnyaAkwqQCdbfM+3yjkGEW1OwgK0E8Dc5JpmZGNaMC9nLMlZgFa4+H8R9u5hSeZr2/8NQqKk6Wg1zdSapqapVrvV7qj0dbvcjZses1ZZ02amqZmp1lTTtJvKLNPUzF25RUEIBFEQFUUYEBRBeEQI0zQdTZMwCYKRRE3T6/2Das1az/P+fhzXwXHDwb8fzus6r/N734/4Fk3tZFe9ScVScjKU9Vmi+jtphd+fTY6mVV5mlV3n8ZKk8swqQfyt/MNnk2NuZHyXmffztczvKMyb/LoctaysV8Mf7GzqfijR/67W67t1L3qHXukGbabuMbPGatJOjPXCW+XM206AHoAemBkEGIHp4dejQy/0umddQ081rYoaeXOFSETVqoWmF/3wdhxgHGB05u3LsdcDpld9I8anZqsBWbhimfuyT1dtXLNszbJFa5buPbDr22/2xeyJ8P27l2/Ajt07Q728Nnsu+xTj6YLgsYsWL1y2/DPPTxes+OuKgL/7btu6acmyJUu/WLriryuWr16+9m9r1v5tzaq1K/GfLsR4uCGueLSrC8bVBe3shMzBouY4Ig4YxAGDYHFonAvaaR7G2QON80RwHsiceYiDC4LGI2hnLNrZEeWIRbAYBIVBYzBoNGoOgnVFPD/HeIUuPn89hE4/eY94IIe8M63YO6V4Q26pH5O9u7ziYDnjMJdzjlcbT2cmRJ8K9zm8Y+/loOMZQaeKA3fnegdl7vC6vePr1F3+e9Zu2rBgqNcNABkS3O6qJHRU58nK0lg5V9hZF5oIcUrKdRXjpoIRp+Gl9EozehvThxpzLJJCawPBys8fExRN8ImT9cSZBjLIKLMtZJssz9qcMdGcPdV8f0aWDYr7oMyekqVaGuLV5GPtpO8MrLPQkAjNGSDNHOVc7sw9oE0J193bPZy3uzsvRpG/l5cdzUoJqksOZN3Y3n59C1zZBIlekBNkzPGW5GypIW6vKfFmlXgxSV40kjeT4seiB9IYfgS6N6XEm0r2oZP9WdQgHjVEQAkRkULFxSE8UhiXFFxTEswhB7JpwSxGELMsiMEMYjCDajgREt7eprq9PHYUgxJAInqTST4kug+FGUhkBeYyfNNIWzIKthCLvZjkADuZ9RXeHEoIhxHOYkbkF3tfub0i/ubKnGwvUkHwvUy/onvhcs4ZKf1s6uXAjJvh5cXHCHkH45IjE+7ujUvaRyNeFrHTWxsolm7J1IBi8OFvaiW3u1My/FSt/109aegz9KrkgjJ1A3ug7behhxLz0zZDv6r7sdL0oh9s5snXJotBZzXqJs1668untuFusOrB8HS27xHon8CrAdA/gYEOGOqAF12g09ieyIxa4YC8ekTJh95WeK62PhJaHvKHFZxRde304wadhNErIA43l5rkZR3VOarabLkgh1hyPv7uQWbZVW7tLTLjXBrx6C9Z0dGXtged2nz4Svi1rOP5pXG8hjxxI1koIrI4eVU8MlfIkCrqVU9aVf2a9hf9vTZTz5RNNfaH2GIQmkbEr/9QT032wowOwARgBjDYxgyvjDbzc8uLvg7Nb9LGMqGwtFVZbxzuA5iGmVGYsUxNDJte9Q3o2vufdRqMOsTn777L161cvHKpy6fu7ksXfR27+/g3B6MiQ/8e5LfNe6uX19bQIP+N2ze7LV7o6O7i7OaCc8W7zHdftXbVf4WHBvh4L1zyiaO7i7PHvIVLP92waf2WrZvW/m2t+9LFjh97Im4udjJRc50RnCMyB4tg7YVDzXFC41xQc/CoOXgEg0cccIgDDkHjEDQWhcKiUFgEwaAQDMZeaEcMBougEcQFWbNxcex+v4w7h0iFR4iEmHs5gZSSXSLOCQnnbBX1+zr6RR7rJrss6Ydfdv/96y0xZ7YdSfb9Ic/3dH7okbzA/8ryOpoX5rV/6SfLEMMwFgCRZJ8XpSd1ULL62Lmt5BRx/k1lSXI3K6uHldJZkdTHSzNK842SPJMoZ0yQN8kvnGkgQgMFJAxoLAMpHZrJM7KiKVn+VOP9Gcn9SVHmhDB9WpIxK8+Yak6xNMQP116y1F2FhiSQZEBDBjRmTNbF9RMPWe/FAOUw0A6YCne2ZgZXJfoyr3qxLu8QXvcZ+HkLfL8WfvGG1J2QFdaUs4NO8a4p9OYU+5QT/ZjFvsxiXybJh0LekU/eRiF5Mci+LFpATWkIjxrCJwcLiUFiYhC/OLSOFFxTElxFC+YwQtmsUBY7lMkOZVYEsyvDajgRLEYQoXBrRtbau/fW5RZuyaH7FHCCcisDU2het0hb86m+zLKQqrIwq9kVAPmNtZlFCqxhhNWwIgqKd1xM+OzGjZX52d50YjilIIxNjtXUXuCRjv3844a4X/3J+YeJhUfTsvcnpO69FL+vnJbYr2DrWmsmHjdNPG4ydzRODGhmXj4ZfaaxH7wydrW0SzndMq5e26B/1Gj4XTHYJet4pJgwD8P0+NTrP8bMxpnxP2DcMv3aMPvqKdgMYHg62a2GgUdgegov+0D/BF72wOhTsPTBc/VEr9So+c2gFto6pAZVrVldZ2qr7eKXdNcXDYooWk52NzfX3MI0Skv76wl9wqKhVgafk0omXuRVJNVw4+OyYvde2hEb53skOfxw0s6fMr/JKIsTK0o7u/mdjwVCKaOoLJteR66TV0seijuGe9pfPu1+/XJgdmoAoBPeqqbH5W/G22cn+2HWAGAFmACwABjGR82v/7C90puHezs0DeIGRpOEKZPVDA10zoz/YR3Vm1491T3v6OlT9fSpdLonoxY9knLl0havLR5LF+E8XfEL3Ddu3rBh0/rFyz9bunLZos8XL/p8cYC/z/rNm1w/XoD39HB2m4edi/f8eOGXq1cFBQSsWbsW95Eb4uSIdsEvWPzpqjVrlq9auWjpZ66fLnKc72EnE20n0xmHcsK9JxOLYLEoDBZxwCBoBxTaAUE7IA6YD98gaAcEjUUcHPFObhiUEwbljJ8zDzcHjzig0E5o1/m4r8JXX7kQwSg8xi09wWOcFlecl1ZcklZc4lIvCCuu85lJ167HhsSu//s3a3bHeR29F3I0w/8HYsjBkoCv87wCTi1b/3/mmU0YAKT+zkXejQR1TvIgM1tflTfIzdfVF5vEVKOgcLA2c4CbMcLPNvHvm2qzrLXZ03X5UwICiMjQSAcZExqpM6LCCWHWmDhzWnR/Spg9wc8crU2x8lImhSkTDbesguugTAdFJrTch8bsKWEmSLOn+PH9JYeMd8OheC9Q95kIkYr0wJok//LrfszLvqI4355ftk6f2gCXfCFj11ReVFNBAJMcICgI5BODuaTgquJANsG3nOBFKd5WVLyZWuLNoPqxSwO59NC60lA+NURYEiwiBfMIIXWk4LqSkBpqMJseUs4MLmeFMNmh7Kqo8sowelkggbg1LXt1UvqKu1mrcvLWZ5f532MFppb5XiNtvkXcQqQH1LAiBBWRFoMHAKLkb+VRw7j0UE5pSEHBlitJn125vvxe1g4SIYSQH0wj7RKxT9ALD/z006aExLD8nP3ZWbE5eUepJeeZ1OvtjfTRJ9LRhxJTm9DQKrB0yGaedxj7WlVSjlpSqRJWaBrYrYKygdZ6W3/r6EDr6DOVcUA1MtQD4xaYmrBZLJPWUXgzDhN/zI6ZYExvJ3O6Vz3TrwV9N+i74XkXGLrA2AnDWhhQTP0us3U3mrUNI22/9UoYYx3CiS5hr5jSUZ/fJyYOSciTjzgWTUU3/36vMFenIA+pqSLuHWltelcjUSK4c49w4mLq3jTyabogjci7U1SbwZWXTlifwMTQhKWns0vK4FF58lpph0zY0dTx6nn3qGFganwIZgcB+gAGAUYAzAA2ABuABcAIM/rpseExy6jNajXrdU875bIabi1Z1shuklR3Pm7V6Xr0w70Dzx719rYN9KvNhp7p18PTrw1IdsK1ZWtWOM+f5+jh6uju4rrAw2W+O2ouDuOOx7jj0W7Oi5d/9snnS1EueNxHbo7u87Bz8W6enu6LFi79Yjne3Q3BYhAnR6ybq/uihZ8s/cz14wWOH7lh3eehXV1QLnhkrjOCd0KcHJE5WATniGDfw/mOSRSCQhAUgkKj0A5oFNYBhcEiaAfEwQHBYBAsFo1zQWPxaIwLZo4LFueEcUJj5yI4d8RxPrJqs+fRo16U3BMqbqqWl66sTGjlJChrE1rrklT1qczic8dP+QUcXPPVLz7HcmMP54QfIYZ/Wxp2jBp8Mjt49zeb9M8dAJAHt/5JvXhRkHC+vfDmEDfH1PzAoioba6sYlT/QCfN7qjL6ORl6TpahMsPEyZyovT/DzwdRCTTToYUJ0gcgyrMJ0q3CtElexowge5qfNVabMlqdaKtLmuQnTdXfmm28A5I0kOWALBekeSDPMddeac2PaY3367sTorsXrskI5qYGsu5ElKdGMW+El1/xarq8vf30et3ZDZbEwP7McHFuUA0xREIIE5dEiEoiBcSwOkIgp9CXQfAiE7aSST6UEl862b+cFlRFD+XRIwTUcCE1XEAME1DCBNRwLi2ERQ1ilgYwGIHlrBA2O4LBDCJRvYpI24pKtpJLtlNIXmTijnx6YAbF51rexvNZa27kbiSQfDmUkDpK6B+G+QBIh8iribFTUBpWUxpCLvZOy1idlrktp8AvI8/vxt3tKfeCSOTYzNxdx3/ZknInKjtzT1JSNIVwUiW4P6hkGrUCnapO38ofaWswPmwc0jT0aH6TSCpqqoqVEnantEbTwNKKK4yPm+BF+6Reax1qGxt+NGV6DjbztMVoMegnzMbZMQuMW2DaCuMGsDyH50/g6SN4qp19qoVnWnjeCb1yi6a+V8LoFD4YlLFMWoHpoXBAUdMlZejV1QZtzaCqrLflQbs4v0OSN9pVqdeSpbU3teI0rSyTVxtPo59TNGR3y4haEUFYlc7lpDU1UjSaGklLpVRTpxt+BNMvYfYPePNy5HmPSCFUdau7XzxV6Z50mA09r//QvX1rADABGAEs75mcARgDGJiwdr9+OfDaNDxmto5bZycs/X0agbCMVUmQNbJlzdXah9L2x6364V6zcXDs1eCYccBq7LO86NM960D+EROB9sCj3ZydPdyxbq54Tw+3jxeg5jojczAoF7xd9HAenui5rlhXN0c3d2c3d5ePPPHuHi4feaKccMgcLHYuHuPqgvvIzdnDHcE7Ic441Fxn1FxntAseg3e2/wbBYhAsFnF4P2o6YBAUGnkH5gc4MQjaAUGhERQaQTsgGAyCYBCsMxbnipnjjHbCYuaisa4I2g1BcAiCR5D5yOpti87+tItdeF3JSlNXpnYK0+Wcm8rKm5rqRHLm0W9/CvA+usX/58D/yg7/R374EWLkSVL0DcqRHy5HDT1HAyBnf/zqxjcHKGe/4SWdUlESOnn3eyT5A9LCIRlxsKGoi5PdVZY+UJGhY6bpmKnmqowZQR40FEMjBaQPQEyEhuwJQaqVn/juAZLiLFt92lhtylRdKtTfAUE6CDOh/g5IMkGeA/Kcieb0gerzorwYYWKw+GaAMCGAczOQlBRKzdxTfm8/884u4g2f8ivbq06uFHy3THNuuzYxSJIZyi+OEBeGSYgRQlKEgBDGLwzlFQdVEf2ZJD9ysS+52JdC9KOTA9m0UF5plJC+U1S6U0KJEpdGikoj+bRQDjWISfFjlgawGEHMshAqzY9M8WLSfes4YSJutJAVVUMLo9HD7hF84rM2XElfffveRkKhF7PYv6Y4cPSlOwCirPQTU8IF1PC60nAmOSg/fzuhJCyXFJJ0z+fX9G0JuUGphdE/JfgGfbf09KUdNxJCb9+MqqNcGpRSxh7VGVRcZW2Joo4yqKyzdLWopJUcLrGKR25qZJmftk32a0a0TQNtv1l+b5nRt1ueKkd6ZaPPtTBhhgkzvDbNWowwaoLXZpgaBZgGmx5MT2G4B54/gWfts/2toNPCyy542jIsZykrcySMdHVt4bCyerSzwaAWdDaXdTSX9irLdI/YmmYCifRzdv53bPYVsfA6g3GKU3mWwT6TS/uew43rUVN65CVDzWwNr6SpqlghZKoVAk2bZGigE95YZl+/hDd/wPTY9Nho37N+w5h1EsAGYIDZEQCD/RFfADYA63s4ZwBGAfptf/S+NuomLMZx86jNMvpK194hF4iYTeKKdhVf28bv6JCqNI3DL/qmbUZ4YzLoulvbhBIZV6n6DVn0xacoVye8pwfeYz7Gzc3Zc76z53yUiyuCwyFzXZw/8kThXRAnR4yrC4J3QvBOdt6wc/EYvDPa2QnlhLPjh3bBY1xdkDkYxMkR7exkL4yTExqHQ81xRDAYxMEBhcKiHTBoBwzqA4EoNArt8KEQFBp5L6MICo2Z44KZ44JxwCMoRwSNRTlhUS4YxAWFme/q+hdP3CfOKE/MklWLD+4NJaee11RkdXCz2jkpKkbcQHWymn6FkH405qTv2q/Xr7+wMSjeN+q6//4boSeT9/5wPfbpkCMA8s3x7b8c3ks/96Mk+aKSdEtWliJh3VJWJ3aIcgbERX21+b1lmQNlmTpG+nDFHUt1BjTkg7gYGopBUAiC+9CQNSlKsgjjxySJ0/L0GVnmlChjipcG/Ezg3wdhLoiKgJcFkmxQ5kJLplGS2F17QU77jp0URr3sTb7gVfRrECEpurzgqIh6Qkz8hn43nJbgSzqzhnlyjeyKryo5sikrQkzYKc4PFRHCBIQIfmG4sDBUWBzOI4dXUULKi4PsxSIGs0mhPHKEiLpTStslp8dI6FFCajiPElxFCWJT/NkU/3KqfzktiEH1o1O82YwAcXVUa/1+FfegjBlbUxZNIwdn5+9Izdl6r8CLSvJnlwRVFQeOW50AEBnDV1Acyi0IYhcH0YnBRfm++cSwjILAG5le17J8kgojrmWHxvy8Zk3MvH98tyIuLpBwd387J8XQSB5VVg5Jy5TVheJKQlcj2/CoScIvJTOyq+oeqFrqbM86Rp+06R82Dj0Um/paJvXaMZ3aOqSBV70wY4Hxl2A1wGsTvDbDuAXe/AFvzGB+Ci/7wNQPxl4Y0kC/EoZUoNfCkMrWVtMvKOnk5nfziCPK6onHEmtn45CS3a+oGGpjjnRy1LL8Isrp2/cOpuYfSsrZk5K7Jy1/X2bxoXz6qSZZpu4xy9hRbVH/puJShWXFinpOt0o21N1uHn46bX0Jb8dh1h6ShdGJKRvAJMAYwDDAMIAOYBjACGAEGAHQAZgBzADDb2cHbGPDb2yGKevw65fDJl3fs3b1Q4mqla//vWWwW9rTIel6LG3V/KYf7p0YM4xZ9B2dLVwhk9fA6uxsQhAnNPYjF7zHfBR+HuLqirjNQ/DOaNd5aNd5iLMzxmWenUyX+Z7v+lK8E4LFYPDOGCcnBIdBsGhkjgOCRWNcnXEfuSLOWATviJrjiGCx7xwc+wCJdkAQlB2/P5Np/4hBO6JRWATBfMDVrqgIgkYjOCwa7+gwD4N1w+Dmoee6oV3nIS4uyFwn9EcuLp8sdP14gavnvC1/W3bqQGg3p3BCVmYW5AxXJfUy45SMayl3Du8+F7Tm5Hr/s9v//v22mJ+CIk8ERp4Of/jEHQCJPb7064jggh+PiBMuqYrvSKjJPGqclBmvFeTopQ9GhGQdO3+EmWOqyLZWZc+ICqG5CGRkkBSBIBcEWdCYPducOiZOGJMnTivuzLRkTInTZ/gZIMgFYSEIi6G+GGqzofk+aAmgyhqW3Oquv6KuOsO5E0W+7Ffwszfh19CipL3sguNNtBPSkiP8nL20lODMXzcUXd8qzIqS5uwR5kSJCqMlBWEiQhi/MJxXECYsCBcRI4SUKC41gkcO51Mi+ZRILimshhDCI4SKSTtl1N32O3HxSkK4JYFcchCXEsAh+7NIvuVUfwbZl0bawaT4CCrCW+sOdPCOtlcfEzBjqhg7KZTgnGJfAsmfWRpSQwurKQm2k/nf5YEiQlh5ti85y4uSF0AqDMzODbyd5XMpZevF1B3x2cGnk/2+OvHl+j3usd99mXY7kkv8p6mxaLSZapbS9Y1l3SKKikfR8On6NkFrI7uu/oFCzu1oE9v6O0Z/V4/+rprQPQJTL4w/h/Hn8HoQ3hrh9dDEiydj+idgHALLCNhMYB2B592gfwSGJ2AZgFdPYUgDfXLobYLHYngstCk5FlmFSVqmE1OH5ZXWR0JLh3BEWalTMHtlD/qVD3rbKBplHo9/K6fk+MWUsNySb3JLvsklH7tHPkGvuMavShtoqegRVQjpeQJmcY9cbO7rmngxNPvaODthhrcTk+OjtnEbvBdGHUAPgHbK1jP7VgdgV84RgBEAPUA/QOfEW43J0mW2DL+xDU/80Wcc6hl6MqTv6OltGepTzJp7h57IurTCrseN7Z1ivaHPYtYZXvR3dLYoVb/1dMutxh7Ec7En4oLDurtj3Dwc3dwd3dzRc10RJ2cU3gXr6oae64rMwaFd5yHOeJQTzhGPd8Tj0U5YZI4DMscBmYO1D5AoJxzGyQnr7Ix1thPriHLCoZ2dPqgl4uCAwmD/LI8otIMdTLQDGo1yQKMcUAgahaA/TJ4oNIJGO6JQODTaGYN2RWPmobAuiDMe7YLHuHlgPlqA9fwU+Wgh4uKGdp3nPt/js78s+vXIzqq7V7rL8gYY90cqsoZYd+oKTsfFR67Y/eXa/1oTHuv/9ZGo05e+++n2ie5nHwMg/zjntnCt++4Qv3unTgqzk9T0dCkpQVua3lF2c6ju/hC/qJebpym708NMmhRlg/g+tJBBXgKNBJDkgSh9Qpg425wyKb0FmrRpZYqtOXmyOX1Wkg2i+9BAgGYKiMkgyAVRFjRngjTVzL85wos38BO1hcdFqbGs+F3smwe5Scdrko/W3T0gvLeXlxTKygwjZwZQU/xEKSGqu5GaexHt+REq4i5JQZigOLiJEianhstJkfKSXWr6gdbS3TLyTjEpUkSMEBEjJMVRspJdKtreLvoBLTNWVrFHwowSMkJ5lMAasj+L5F9FC+ZQA9gUXxbZh0X241HD5Kx9HXXfK7hH5NWHBaw93LKdVfRwFjmgnOjHpQRMvHYCQFiFIZziEHqeL6PYn0WPLCKH5xcEXkncfClpx6VU31/u+vxwe9tXP38Zcnr1pRthDOKJjuokoyAP5CxQ15laqnsbGCo+eUBVO9LRNNgl6+6SqdQNvR1yMA2BaQAMfRO6R1P6TjD1wqvemVc9Vn27rkvWruDrO1tmdd1gegpjw2Dome6SQWcTPG+Hl90w1AZdkgl1nbWFY1NUTijZYy0VE0rWlLra1soekTIMzRWjrbVmJbtfRJRWpHIp1/gV1+XCO3JJqkCQUMA4mU85zqu7KhHcJFH+eSP90N3ME2x6Yo+Y0SWu7BLX6R4qwDgENvPMa/Ps+PjoqLl7oG/o5bBudLTv9Vj/29muGegC6AToBGifeds+M9sLoAfQAwwAaMcn+M+fM7q765491Y6aBif+MNheGq16s0Wnf/FEr3+kG1C1ttULJEy5qrb7d8Xwy36TWTfycqi3r7O3s03/u9asb0eWLFvi6OHq+JEH2tUd5+6BcZmHOOMRnBOCc7LziXGZh3JxRfBOKCccGodD43B2kUTmOCBYjJ3MD40rgsEgaPS7L//UxyJoBxQGa1fLD1j+q5D3Taz9hXpXaAcMCoX9dzJd0S54lIsb2n0+xuMTzPxPMR6fYD0WuMz39FzkuXyxW2TA5pyLx/vKCqGxeqKe0s5IEVGuHb8SuzZoRcBXm3/6cd+pnw99e3m/9velAEgKcfVSr6XLVi3z37rl1qlvVLTsITZhpJKgY2cMsNO1zFQN646WlTTIvTPbmAfSXGgpBkUJyIpAmgcNGbONd6A1Y1KWqBeeN0muW2VJU/JMUBFA/QDkRODfh4YiqM8Gfho0pkNLxmRjqlmUZBAlAz9trCphoOSSMvOfwsTv624c4sRHs+IDaxICWOmBtEx/Vrq/5G6oOjW0PSOkKy9MXRApLQgVEoNk9EgNgF40rwAAIABJREFUc5eaFq2hxGho+5Ul0U3FESJCmIQYISPvVJCjVbTd2tK93YyDmrJ9UkaMiBEhoocKS0P4VLtyBlZRAqpo/lU0fw7Zn0UKrCGFCSjR8urDitpDTdUHJNWxItYuLi2ESw6SlIXPvHUAQCTs/QJmDJ0QwCgJ5LJi2Kzd5YyYpNTtP13dcPr6ph/jN/7jwpdfnVn+j1+35uYcFjIv9fHSzaKimWbmlLzSIGUPt1QbHvIt3U0TT9WjuvaBvtbWNmFfZwtY9GDVg6Fv9Kna0t82ptNOveicNT6ZMDwa0Eo6FHWmbgW86AHTUzAPgE473dkIHRIYaINnbdAlmXzIH1NVj8pZo7IyUyPV0kyfbGXPqKsnWystsgprC2eqrc6qqNCJiMqKFB71qoB5Vc5PloqSBPVx/IbEOt51WUOyhJ9Eo5+7m/d9ds4JJvW6uq7YqBWO/d5m7m+fNg3AGzPYzBNmY+fvnVyZpEbeyG1TCn7v0YxZ+wEM74M+6tlZxdSUamamC6ALQAvQPjMremXk6AZFBn3n+Kh+xjbyxjIyZhh82WcwDQwbuts7G7kNZdyGslZtQ++AWvawqemhVNOrHRkeGHsxONjdpmipRZavXu66yBM/39PxIw8U3gVxckac8e/4xDoiWEfEGf/O13HCvcPvA5lzsMgc7AfBxDg5IVjsn5xVHGqO43u7FYM4YD4Mmf9BJvI/X+/ItKuqE8YBj8a4vCNzriva1R3l5on+aBF2wWLcos+cFy3GLVjg7OmBdcLiXJy+XLH4bOwu2b00czXDUscYqaawycnffhNy7Oug8ydjdsf6xPwYWiNbA4CwxJu2x/ot3LjScdHC7ds2k+LOD9ELoZ4FglITl9BVmdbOTZGxrsqoZ/XchOmGzOn6NJDkgCQHGjJnhamzjSkzijsG4ZUe/plewbl+/uVh0c0pWQYoC0GSM1ObCvWZUJcK9ckgSplqSDbVJ+hq4wdrEyxVtyxVtwaoV5rufs+JO8i5HlseH0m76se6uoN+YzMxYT399mZxio8m0bc9ybc3I0CdGyjJ9eMX+4lLQ1vLolXUnVpidAdxt5IYJSsMbyoMl5GiVLTd7fR9nWX7u8v2dzFiW0tjRLQIYWmYuDRUQg8T0UP5pcF11EAO2Z9N9ikv8S4n+pQT/WpKQgW0nZLKfWL2HknlXmXdAVX9IVnV7iZWZPtvYQDIxOt5SsFRQdU+CtGPQvSrKdvJ58SyGdGZGb4/XVp99sqGU1fWf/X9Iv/vPom5sDEn6yC/9GJnVbKBnz/TXDGpqLGp6uF3helRQ7e8sqO5WqOs44srmLUPlPJ6m64bxkbA0Gd71jH2TDv5/BEYe8DaD6N9o70tw4/EswNqMPbCiy4Y0sDjRltb7exDAfTJ4femqYd1Y6pKWyvbImcYJQ/0oqJReemMphK0NaDhzKqrQc2FhwJQsUebKX112WpWgrL6VnvDHbX0jqwhUSJMFPMT5MI7TYI7grqUcvZ1IvEsjXSujpHYq2DrH0v7uqUmQxe8GZ6yPB9+9oQr5RNrK0iCGmZrE/9pj8pmbQfoBhgA6ASQzb4VTtjEU1NKgFYAOYBqZkY6Pi4ZG9VMT9jHTiNM6GzG/pcDptfDJutz9WM5jVdKqX1QJ+M2aSXihzLxQ1nrE7Xueb9J3z/QpVIq6pBFny/Gz/fEz/fEebgjTo52ZxXtgkfZFx54J7QLHnHGIU6O/0agXRtxjgjOETXHEY3D2fN3zngXZ7yLHU401hGNdbRvKdF/KtSf9iV/Vsr/wNLuDaHQKDTaEePg/Ccy3dDunqiP5qM8FqEWfIr5eCn2k89wiz7DffzpoiXL3Rd9hnV3d/P0DNi8+fbR72TpGQZGma6+IvvXY6m/HKi6dyn75neHT4QmFKwGQKTaFV+d3rtpd4jzX1e6LFn8j9BAfsJ1qGKNMYhDjPtaZnJrVTyXerKq8EgP69KUOH1KkAySLJBkQUP6lCDRKog3CK+0s082VRxtqjim5Z4dlibYFOnWxmQj77qx+upo1bVJXgI0pM4KUw2c6x20sxraz+1ll7oqr/Vyrmtp57kZR2k39tFuxDCSImmJQbwk3/K49ZQrKxhJa2QZ3n0p/kO3fYczA9U5fpJcHx7BV0AJaaJEKIojVPkRHQVRSkKknBAhK45UlkRraHva6fs6yvZ1MfapaTEyWrSIFiGihzcxIuVlEXY4RfTQOmqgnUwW2aeKFigoi2qq3C1g7+KWhldRQ5uqYjpERzR1+2WsqMfN2wAQ04uFXM4eNju6gOCdn7uFXhLMY+2tY+9mUnfdSNhy5fqmSzc2f/vLym8vbzydGMAsPtHKSeirzRjm5dsamdZmtllePfO4yfDwNznvgaSWIpdWi5trpIp6fb8GLM/htWFa/8Sm6xzTtduGtGDqhdcDYBuCIfVEtwyGNKB/BE9V8Fgypqg0yxi2VjY8aYDfJbNa7oSKPaYsMzc/GBEXDTcQrC3UGQ0THrGhowY6ufCoFtq4oKRPyR9YxPlD/Mw+UXpfc2a3IkPbksavvSqqS2iqTRTUJoqE6XV1iaSSfxLyjwnZSRpJSXsrR/vot6Hnaouxy6jvMjzrbO9Vi9VSbltTXZe66cVQ6xurGmY0AJ0AKgAxzPLfTolh1k6mEkAF0AqzGpjtATACjAKYYHbgzR/6cYvpzR/mcUvP8566FgG9obKm9Tdpl6JT1zto1pts5rHX5pnXxlnLiP5ZO4J1n4dywWPcXNGuLmgXJ4yrM4J3ROagEbyj6wKPhUs+WbB4keNHbvaQnZ1ArLMzgsUiKNQ7VZzjiMbhME5OOOf3ZL5PDtg72A86aU/boVGod0ii3tX/iuW/yHTAYBxwaCweNQf/gUy0x3y050LUgk9RH3+GXrQM++kKx8Vf4j9Z6bxohfPHnzsvWOIy/9MVy1b99F+xvMSs3goq714SLeWcipE+WE9k5l29nLQFAOl/vnDv1SNRvxzZsifU/a/Ll33+2cnQsLrLl/ry7+sYhd2cbGXlTQHjTCv751FpCijuz0hSQZw2I0iZFaZO1CeY+HEmyc1B0WU1/2dV/dku0eVBWUK/5Hp79Vk1+0RH5anOsh8NvCuzjXdAnDZSGa8l/6wgnlFSzmnKLqpLz8kJJ3ipB5hxu+hXIsvjw1kJgTU3t3OvrC3/9fPylNWSjK29N3for+8YSfHrKAhSF4fKKZGy0l0ycpSsMFyZG6YpiJQVhsuJUcqSaCVll5yyU0mJtpeMHNFEixTTo5qYUYqynfKyiCZGuJgRJiwNEdBD+GXBfGYIlxlcxQjm0IOq6KHciggWNai8xJ/PCFVWxzSxInmUwE7FSgCku3MxlRpCZ4QXFGxLS11dlLejriJGWn9IUvvNrZQdB08u/vbM57/c2JJP2Megn1BUxvWJMgf5uf1VOcM8ilFcYZBxRtv4GmFpDeO+gFPcrvqt73eV8WUfvB4Bsx6MA4ZetalPbexrNTxpmX6uhZfd8OrJTG+L7VEDPJFBvwJ6m6CDPyYvszTTLc106KiHbuHsQ45NSbfIKCZpiUlabGwssshKrIqSyTYqPKqAxzXwkA0tjFFR7pg439qQZxBlDYnSehvTO6SpKmmyTHhL0ZAib7gj4CfxREk8/q0azmVJbVyHJG9Iw9I/kej6FcPPNcPPNSbdoynjoPX1iN441KHvazfru9+OdwPYG9cOADWAHEAO0ArQDqAFUAN0wLsptAdgEEAPMAjTPRNjg2/GdFO24fHRwVcG7bPeDl2/zmowvbWap2xj8NYGUxNTYzA7CTBh1HchiLMz4oxD8E4IHovgHTGuzqi5OMQZ6+wxb8myz5avXL5k2WcL/vKJ28eeOFc8xskJ4+TkiMdjnZ3fGbBY7Dsy5+DQWMd3IZ7/0bvaPR579/ofWP5H/QlLNNoBbb/AYLBorCNqjhPijEfPdUVcXVEfeWIXfIJd9Dnq0+XIpyvQS1aj/7IGWbQSmb8Ms+BLj6XrXJeucfx46dJlayP/T3jCjyfoKUkJPx+7+N1uUW5SXxWlOPOU/RFgUb/s/jr+yNG4Yz47gxYsWbxm6ef7/QKqrl7tphTq+Q/aq9ObGBe66+JmVNnQmgnN6VMNydbqeAsnTse60F95YVhyc1iW0NMc3y29rhVdltWeFrC+4zMP8sr285j7BOS9morjI7yro/VJhsqEHtplZfHPTQX/5N+N5aXs5t3cyb0Swfk5hH06qOoXf/4Vf8qFddxzK+uuLGelruKmrlddXNf788bBeO9OQkQnJaa9LFZbdkBJ3tuUFy7JCW7KDWkqjpJTohWlu2WlMU3UnRJKlIQaIaFGiEjBQmqoiBHRVBYtY+5UlO2UlkVIKsIEtGABPYTPDOGxQjkVQYxSXxrVm07zoVG9GVQfJsWniubPpQVVlfixiT5Pu5cAIA//ezmLFl5VFkEp2JGStCzj7nomLUxQtZdbFXslZYvvQZzPAaez1zexKEdl1Zfl7Gvt3JROTpqGmd7NKRxpZFvVgokOsbyWyGfmNvFKe7SN+qFHVsvQlOW56VnXyJO2dsVvuidKy5DWNqQF4xMY7oRnatsjyYS2AZ7IoU8GfVLoEk61VthaGOZG6rSKBWrOTGvZhIJulZMtspIxxYMxJdkkJ+ikuSPyvEkNBTqYs6pSayNhqDZ1uD7dIMgcEWYOidJ6G+60ChPE9ddkklsSUXxT4y2++Dqz/gKJfaqcdUYlTlTWpfYr6SMdDSO9ilF9p+1lj+1l34zluWVUbx57qX/90gTTEwDm905PL0A3QCdAF0D3+48dAD0AfQD9APZzJz0wo7ZZZWajdtTSNz6uezM1+No29No6BjADYAOYereGeTsxMwkzEzBhGRnqQpC5LshcZ8QFh8x1RHAOCN4R7eKEdcO7zHdfuOQTz08XOnvM81i80O1jT7y7q33OfO/B4j9E7f7VuKIdEASFxTpiMFj7asTuuL53X//Uw/5/kfkBTgwK7YB2QGMwDmisI2qO47vu2tUV9ZEnZv4i9KKl6MUrUEtWI3/ZgHy+EVm5Cb9ii9uyjc5L1qIWf4ksWIJ4LsYuWr5xw46QkJ2rNm1Z+sXyw2FhhJ/PcTKSbWN4AGTPzwH7r0ZfvHv8yIm9azav/+yLLzds3Px1YEDqyWO8nFvqsrQmyiUJ+VQf94JRdHW6OQ2kaZP8pNGq6wOM810VZ3t4V7R158WV/xRUnKhjHhOwvxfX/Sjmf1dVvZfOjCwnR/FLY1tLv++knOkgnlPln2nKOsm9+1158s6q5AheUjjvekjVuUDWaV/2GR/uBV/Gla2yK5vlN9fX5WwS5e7ovbnDeMXXcDu4gxDTTo7V0g5pqIeUhL2iexHczICqbD9+cYSYHCUp3SUq3SkojRKURghKI3jUMF5JAJccVEMN5tPCJfQIOSOqiRkhqQjjlwbXlQZz6AEsuj+F6l1E3kai7qAxfPOJm6ml3uWlviyyD6vEu5zowy7xMw57AiCt4s08eoSQHllD8iNkrEtLXZ2Zsy0zZ0sOyf9Grk/Mxc+++mnBr7e9WKRDqoqL8oqrStbNzqrMHm5hF5c42FA2oqjRK6oNDxt0Kr6xq2XsRbfV1D85NgwTJrCO6LvaFM21+t7WGVMvvB6Cty/B+AT6W6c6mqBbBk+V8HsT9DXBEyGo2FOtFRZpqa251NZcOqssAy0HtKypNsa0umxaSze05Pc2pPdI0kYUuaNtRFNz3hA/s6vqVicnoYdza6A2ZVB4p1OU0lQbx6k4R2efSS3el1ayJ5u5P56y86cM//O3A3Nz99MLz8o4WT2NlQaNdHroyYxpYOrV0JR1ZHLCZJ0wdxl1veN/GAEMAAaAYYABgL73EA4ADAAMvr/QvY/p6QG6Z2dVNpvCOqoZs3ZPTOjegm5qVv/m7YdU7RTAxPu7CgFMw7jFbHiKoFzcUC6uiAsOcXFEzXVE8FjEGYPgsWgXHNoFhzhjkDkolKsTxtUZO9cJNcfxvcGDQ7C4f+0tHTAoDBaNdcTMwTnOwTnOwf0Hme/rf8ESjUbQ6H8j809zJubdwhPjgJ6DQeEw9j8O1EfuiIcnymMBsmAJ8sly1JK1qGVbkOXbkNWbUcs2oD9ehf50FW7lBse1m3FrN7mu3bxk+fZFK3e4LF3vOn/FwrmfeH2+hnDhir5vHQCST/s/+6+EnUrYe/jEzk3eWxatXOWxctXGv64K8d6ScPJwKzVTy0hk3d3PzoyWkfYPsC9Y+QkgToOGtAlBslWSOqpMH2i+pRXG19C/pxbHVjGPSoUnRaLvOHW76dWR5YzomtK9AuJBQdZBwe2DvMTDVYmHyhMO5KeG0LOiuNk7uamRrOshzF+Dy68GsK8H8pMDNTe81Umb+PlbFeQgc07UTEqkNTO6s+SAlnRAU3KotfigLHe3IDOck+nPuOfLzg+uKg7hloRXkcNqaBHc0vAaWhiHGsQt8S8n+jAIPuziAD45WEKPaGJGCCtC7WRWMQLLGf4kqlduyZYCypYi+nYCdSuT6c8q82dSvVlkHw7Ft4oSMPUGA4BI2P5cUrCwJFRKC60p9r2XueHGnbXfnp13OmH5jeKAU1lbjyauS8oKYBUf0JRdkJZdlpXF9QnyzS0snaSiv6GsX8LsEDwY0QhNjyQTA9opU5/lZb/R1D8zNgJTf0wM92uUv+meKCcN3WAdBDCDuQ/6WicfNUJvC/QroasBHguhSwBtlbPqSlszwyImWyUUULOhXwz9v0EnB7Qs6GSMyPO0/ER1/a0eSeqgNLOPn9JZdUvJvCqjXZRRL6iZ17rrkrX1yXz2RRL5+7icXZFnVoSeW3w0fePJnO3fJm/5Md7r1p2ogszj4rI7Q9LaqccaGOi1PXsy9mIA3o5NvxkdtVmUz54oXgx2T0/Z5dHerPa+f+9737ia3g2WYI/s6d9rqZ3Y7um3/VOgfwvDb8EeeZ8GmAWwAPTb/ug36k2v9LZXeoO+F8E4z8Pg7aFzLIJ/X86Yd+XkgODQ9n3Jv4xWe2He0WgH8l0ri0IjCArz7+Plh13l/2bCvjOAUB+WJQ4oxAFBsCgEi0LmvLN538VunZwRZzwK74J2nYfx8MDOX4SavwRZtBz9lzXoZRtQyzYgn29GL9+M+WIT8sV61Mp16NUb0Ks3Ias3Ltjo57Jyu+syr2Wrg5at8F/ylw1/9wr8jbMdANE+3JJx52j8zT3Hz8V4R/t8smHFkpXLFq9evPSvn0d9FZgbd15CTG0iXeXmHKHfDZcWHxqoPj/WeGtGmWaUJPQ3XNMrUrqlt2o45wW1FwT1Z8prj5A4MRRONKtyF69yt4p5REs7rMzdV3M7gnIzjHw7gp4USb8Zzk4NlOTs5GWFMe/409MDipK8Cn7dwrjqVR6/jZPsxU7ZVnVnmyzXv5sQqSfEmAl7OpgHNaWHZIUHpfcOyHMPiXJ2l2cFknN8KMWBFFJgEdGXXOzLJgdXkYKYhEA6IZCY70Uv9GURfKsIfnxioIQa1sSIbGLsFFCC6qiBXHpwTUUoleaTXbwpo3D9vZLN+YStBcXbSMQd9qKQttdz/waATIw5ySuiW8v2yMgR4pIQYWkIpXjHtdvLvv7e6dgvC27l7fghac3p21vikv1zU6Nlped769O6uGmd1emDgiKLgm1u4/Q0kJvYGd0NRX0tLJ1WMmsZMA13ml92z0yMzIyN6J51qB82KRX8kadqMPbCjAHMXbZe8bRWAE8aoa8RuutBWwFqKqipoCZbFARjY461sRC0TBjgw+/VUw9LJzVUo4Y4IM+RceN4rAuKung1L17OuqBgnJNQ/llX8mMd+aSEdkZZdklbe53LOZ+Qvzc6bo3/hc+8Li4Kilt6pTiIwDp0Kyfql+TAzHsHOaxrrY1F3Qq2sUMKhj4YH4GpEeOorme4TzH0RPFC1z4x2f8etsH3ZRdJO2n23KwZwPj+Xf9eQocAuqdmu6ffjvzrkX4wBWAFME7PDlisPfrhwWHdsP7pUH87gsK5IBgsgnFAsGgEh/lQKCcsygmL4DDIHAe7Afshif6BzA9SaW9lP9T/i8z/Dcz/PzLtDfP/IBPt7onxXIiavwRZ9DlqyWrU5+tRyzaglm1BvtiMWrEJWbkBWbkB9ddN6DVbUX/dgt/g67LB12W1j9sXXh7LtngsXffJF2uPHF8FgOife3ALEiQlieSMS1cuH4/aF/Llti8/27hswYolS9etjN27qyDxkqj4ZhPxnLDgaF3BN+qyM4P11w3SpEHxrX5Zco/iTg3rn+VVF9i158u5PxZV7s9hRJIYkVzmbnnF/nbKXnXBLnl6RN3tUMbtEGpyCDMpqCohSJYa2k88OEA/0ll2WMM6yifFkG/7EK5u49zwZt7cTorfSErcUJXlJckLVBaEtROiZKQoSeEuUd4eZcE3WuJxaUEsOy+cURzEYu5ksXZSS0Op5AAOJYRHjeCSw9ikUHZxUHm+b3meFyfPm5vvyycECEtCxZRwASVEzAgTVUTUVYSx6P50mg+F5kWm7igibCsibCMWbycSthEJ20iF21pbPgNAnvd9zCcHS6k7W0tjJORQDsmXXOh1L29bXMLKn69//kvimlMJa0/GbbidEkLLOdQvSINOhrmlqIubpmYld9ZmDzQQuwSFrdwMZvGlVj7R2CWfeNnT16sYeKY1m54aDU9N+p5hXdfws85p8yBYB+HNEAyrx578NtMtmO6smdKUzahLoaMMOktnWglGUdpkS+GULH+6OR9UFHjMnO6kWx+SxzRkk6ZoWJWvqItnkL+vY5xp5V3v4N/U1saxiMcI2fsIObFV5BNy9iVF7TUS/fufMsK2nlq86adPwm+sPp0XeK8sNqNk79Erm0N+WL779IbYX7bv/cX3h7hdBSXXmiSlyrZaSRtX8bilXdepGHrSpB/seTttT/kMARgBTO/l0fDvcfZRgGEAPcDI++Ce/Wf2NIIZYBRgFMD6dsb6dtowMT38enx41Dryymy1WqbGjFOW5wjW2cWuS45zndC4fx3UsocK7Nbrv45WfiDTwZ5Qf2fAfsip2/Xzw6bkX7mC/weZ75cmKHv6B4VGIQ4oBIP+TzJxjn8mE+XiinLzQHssQDwXIR8vRZZ8aScT+WIzsmILauVWZNUmZPVm1Nod6HU+qDU+qHU+uE1+uHU70F+sRy9bh122BlnyJe7zzycm0QDI2cO72QnXWkm56ooSZn7i2bOxQeG+WwN2fLJujeeqVV4B3r/8GMvJPj9Ymy5jXpFXXNVw47pFiar6azLBVW71+YSs6NMpIb/ei0wg7IwnhiUQAu4VBtYUh7cSd/UV7GzPCFEkB4nuhNRkhrIyQ3gZIZK7wV2pISOF+/TkA520WA3riJi+n3YvJDfJm/brdsKljdmX1xUkbqLn+LIIgRxCQF1JiIIeI6XskZH2q8nH1MSjdVm7ilJ9CzJ9KGURlLKIIlowmRzEL4vWcA91C473NZzQ1h5urdzbxNjZRAsXU0JFpFAhMUxADBNQQpqYUZKKCA41gEH2Zpf6cxj+TKp3ealfeWlAeWlAOdWfRfZjknx0Ax8BIFr5Cl5xkJwWo6nYL2dE15QEkgt97uXtuHtvR1q2V9ztTakZAT9d2JCSGEbJPqLlJk1qKPCobFCQVZN/pq7w5y5+5pCsqFOUXV5ytZyW2KGsgdHBCXP/8HDXkK5z9NVzm0k3azNO24wwbYE3Bhjtnfm90aapnuqqnn7MnnnEmNGQQVM8rSo0iVP7qq+NidJBmgPNudOyHJsyf1RdaG7Lt2oIppb7RmVOpyChhnaSTf5exDqn5l3vaUiqqfw5J3//7fTI/Ny9zJKjVOp3SYQ9R+8Gbflp2ZdHFwZdWH3+Xlg+9VAmIfbHeJ+oM2v/fnqV/5lVAWfWxlz2/vpy8FengvZeiU2ipWj7NQbbSO/oiMww2PN2WgcwCGAEsFs4swCjACMwbYBp++hoBRiZgV7beM+YbXBqWj8zO/Rmuve1beDN25GZfwE8AbMTb99OvZ2yTUxabeNTU5OTY1areWTKOjI9qkdwc13QOJwjHu/u4eni5vbBdLUz+R9kfoAQhcHam1u7YCIfjok4YD7sMJE/kfkuCvsfGZ9/84PsMdoPZKLfBQCxWNQcR3vcD3HGvyfTDePmgfrIE/GYj8xfjHy6Alm6Br1sA7JyC7JqK2r1NmT1VuSvO1DrfNEbAtDrgrAbAzAbfdBrNiMr1iLLVyF/+RJZus559Y7/1s4FQL79YcXXO2PuXbokJRb2VZX1VNFl5DxWdsbJ49+v9fJZsWWrf5D38cNhGb8ekjATZewkRVWCiHmBkBP7y3W/H3/d8cN17x/jfS6mBycQIm+RwxMIATkFfjWEME3JruG86KF7UR1ZUbJ7O3mF0XXF0U2EaE1hVP+9SF1BTHtuhCAnSECJlrAP8hmxbGI0Kc4359KWu5c25CbtoOUFUwoDqCR/Nj1Exd2v4R5Wsb5T0o6J8mOpyUGpNzcnJW28lLn+Ysa683dW387ezCSHyFl7O+u/0zWf6Wn4vlv0nZZ3SMbeLS7bKaRF1JWEVRUG86hhfEZ4TWkIpXgHsWAzlbidVrKdXLyFRfNjl/pz6AF1jBA+I1TIDLIPmU2crbLSXRr2ITXroKJir4QdQyH6XUn88lLSupQMr1tJ28j5MamJIaTMA7R7xyg5x5Vl14cleb21GVU5/2TnnGplJfcIcjr42XTSZW5F2mBHg2240/yiy/Ky1/Ci3zb6EsZNMGObnfoDJswwpofn6kkF2yYizrRSoaMCutjw6MG0Mt8qzRoWpvTxEkz1iVPi9JnG9Inm9DFl1pgqZ6w1b6aNMN2Sa5NnmWUZQ5JkZeWFmpJjQvrpTkGCqOE6lXE8LTsqKTXk1t3gW/cibxH2XCuJ/TEnJibe9/DNwKSc/RTqKVbF+fKqS9TqyzTRzczKM/HUI0mlx6/lfxN9IezbxGOsRpbR+nwSxoanRlXm4Y4JW/fPTLzOAAAgAElEQVTs2863b7tnYRhgDMAK0GOziJ8+Efd3t5uG9ePjPWNjXdZRjcXc8Xq0b2py4O10z9hYq2FE+8o88GbSAjAB8Kenbs7C9NuZiXF4+3bm9R+m4aeWlwOWl/0IxtkRhcPg57ou8Fyw5JPP3N3nY3F4NNYJhcF9KPu9QuwovttSYh3/vMz8twg7BvMvFf1PMv8nk+9YfU+mwzsy3+Vy35GJcsJ9IBNxxqPw89Cu7ig3D8TdE5m/CPl0Ofova1Cfr0dWbkGt3oas2Y78dRuy1hu9IQD1t2DU30Lxm4Oxf/NDVm5Alq9C/rIC+eRz5C9r3db5X0tfDIDQqhe4r9uxPTDi7Dc/0uISlTlF2uK8VmJRfnx87J792wICV2/fuMFrXUDo1rQbP/KpiSpuBr/0YkZqzMETa6K/X3ExOYRQfJBKP0KvPFrA3JtaEpRZ4M0hBqtpMYbivUbSoX7iEWnBgSrCvhrKfgl1fyt5r7Ygur04RloQVpMfxKPHSGuPNlUdFdD3M+9GFt0MyL66oyDJj5IVWJTtU1TgxSwN4LLCmmoPSLnfCKj72bnRxPTAtNTtt+5u+SF5xbeJnx1LXBKXubaI4E0v9GUXBwkYu8RVe6S8/eK6PVUV4RxGOJ8VLayI4VIjBcydNYwIJjWQUuJbRNhGIGwuyN+Qn7c+P2d9fs56Yu5GasEWVrG38rf1AMj4aychNVTJ2qeqPCQu3c0rjRKwd1FIgZdurjh9Y/X5+LW/XF7LKNgnpp/pqEvScJPZxT9TUr+vyTsvJF6V0RK07DQVO11TlTUofaCoz5Hxivra6nVdMsOQeszUazX9X+bePKrJc+/7vROTJoIg1KkiKPMgk0yHaTNupiK4ZXhx2AhuFKtiEScc0Yqi4ABCmSUhaWZJmBPIDiQQCeEEgiAUCgWxIBSEJhKBIJBc548I2u7u59nPOe9a72Fdi3XnXpD/Pus3fX/fa3RpTgKWZ8HKnFIuVUgmwNQweMldZJcsVz0Bz3FAgAOtGNBSBITFoK1YLsyf4T+R8TLmmx7MN6XPtTxYan+yKMpeEmQDQQHoKAGteUBcAHpKpprSW8iJXEKiuOpGc8PNmoqk4qLIlPueyeke94rCcZWJ1dwUIvtOAT25kHypouxmQ/ndNnZWT0dp98sf+B04DPN2Ys6h4+n7L2bFXMtMKKR+3zsonvswM70wPbE0+1opHwHKUVXFqFS+XtXo8SbGCJ3tlM4O3i8jvbOzQslMu+xd94eFQaBUbaIMA2X3wrz4/buBlaXJ1bx3+eNNuMvKudm5mSmlTKKQvV2UjC/OTkz+OgAhNqBQG9Zv2rzFUE/f1Mhk69ZtH4UEa6Qhkao6878gUzXnXHvzOZnQZ2Su5rT/Kvz51I2F1iE+J/PjF65Hw9XWr5EJqW2EaWjBtDZBmzZDW7dBugZwfXOYgQ1k7gLf7QazcoVZucOsPRB7vGF7/CFbP7SdL9rWCzK2g3aaQ/rmkL4ltNMK2mlr7GsOACT/AEc7/3W7614nt6D9PmFXD5ysuH1bjCkVEyn49IfxsXG27h661jamTs4Be73SUs5Ul6ZxyLeby28y8AlZWQeKi+PImLhnxPgKWjyRejivdG9ekfezEr9m/N6x0ugJ4vFB3AlOYSwx7wC55FB16eGGkqgWTCS/JIJTsq8aG1pDjeLVHuOWH2XhIsmPgjGpvgU3PfHpAeTsgMIst+wn9oUlzjlYR0JZAI0aii0OKs7xzcnyTM10uPzY+ly2dcIT8wu5Fo9wrgSSL6bINS/bsTjfnUzxp9CD8DTfArwbhuhdXb6/ofJAAz2yoSKqmrqPTgliUAOfkX1xpS7FxfbFhXbZT8wzH5tlZphkZZgUPrYa7t8MAPSqx6CZEsKnhDeQI+iYIEyBB6bEo6DEPSPbIfmuzTeXDOJOG+Q82Mujnu9hZYzy8wc42TUl15kl15kl18XlmdMtlFEeoZv5dIRHnnxR1cbG8Vl48fOK6Vcd8unBJekbsCCVS8cWZyfA+xnw2yQY7VsUVixzigDnCeAVAW4BaMgGnCzAzwVtJUBcCkQYIMpfEmTJmu7LnmfIO57MC7OknHQZKx00ZS83PgbPs5Rt3880pQ+yUrsrb4nKb/bx07sab9LIMdcee53L9HpEimFxU3tfPBV34HhNBSxmZltdQT/3h8HnlB4BgdNYgKGmJz859bfk4Oib4fcKLmHJWVx+7ezbN7L5maGp10Ozb6cBmFjdxlSVjpMADALQIplmjY5wxsfaZmd7l5bbP8x3rSwOrm6HqXo/IwD0K1eGgGIYKEaUS5PKJRlYWQQr88uLyzLpzMTruekxhewt+PBOMfd2YLgbUtukqa6tqbtD18bC0tTIZPOWrR/lr6tk/lfZ7GdigzU4P/3v5+2iVTL/BcuPbR8IWveJzHWIz8mEo9Gqbc/fkblB+w9kQvqWKjKRVh5wazeErSdijzdijy9k7Y2w9URZe0LGDtBOG4SRnZqxHXynJbTDDG5sI+zSBAA6keq96y8HDR0D7d2DgvdFxx8+mpaU/Cwzu74Ig8vIPn3srLPHPh0r762Wtk6+3v84Gp569SgDc62t9iGz7DqNdJGATaCUJlQSEyooJ+jkmGf4cBZ+Hx+/v7f0YH/pka6io8zcI/icQ0/zDlAKD1QWRglKjzSXHOBgImrwkUzaIV7NcX7VcS75CPm+H+aWV+F1D/w9f0pOcF62570cu7Qi61SsbQbRJb3ELTXLMe2xQ2qmw8UHFt88MEzKtbpQYHW1xCaD6PKU4vUU55aV75CZ5/iU4JGNcUorsk4rss4udSaS/Sqpe+vJ+3jlUUxyKJ0QwCAHVFD9n5G8yHg3Ct4Nj3HCFjtg8+0xubbEAjtVKvt/13pxKUH1+KCK0iBsgdejLNs7jy3u5djdy3VMvGYad1Y3Kl7n4iXnvEdRlSWJooo7r7n5oy24AXY+l3S7mXJnrAk/8ZzSVVssrn06wKeOtTN7mirqK0raWyqmX3WA+clFyfjML31Tr/rAzCSYnQG/DkhFdGlL3rzg4Tzv8RI/S8nPVHAfAu5D8DwXCIqBQBU/C5YFWXOtD+c7s2fbvx9hpvYQL4/QLo/Sr00wb75mpvRUXOmuutFedZtDudLLvtXHvV3BiL+R5/9Njte10oMU5o0eYdHoi7IhEaW9sXRIUDHfw599wRsW1Qgb8Dhq5oUHiTEp0fdKbjbwqF0d/xzo65BNj43/Otr3y1DPr2+GFhZU+oGJj8oeMAhAn0LRu7Tcu7zYu7Tco1T0AtClXOkGiv7V1c3XqwOVEQCGARhULA8vL00olmeVK4uK5WXFsvLD/Jx0Si6ZWJ6dVMy9nfr1laCrBdLaroX+UmObjo7tbisjA0PtTZs/Loj8GZl/6AB9XC5Zt071Zx+xXLfuvyPzd9ESBsH/QCYMgYS+WAdDI/4tmes1V8nUhr7aBtvxp2S6I/Z4wW29ICsvhJ0HzModMnGCDB0Rhg6QvjVspxnKyFLd3PVGpgkAEJOnp2MXYeMdbvN12GYvH3M3P0dv/+jDMVk3U8kP8h5dexz798uef43fZuuJ1DffbmVm52V18O9eD+8fo+GuMxn3eXWZnIq79dQr9eSzTNIJJv4wtzSypTSiHRveXhjJzznIyo4m5hx+mhNFyIuoKIjk5h2sz4lg5UewcAeYtMPcqmP8qhM82tH67FDKXd+8Ky55Ke5PH/lk5XjcKnT4Dm+fQrC9WmKTlGV+Lt085bFNSpbNuScWp7NNLxZaX8XaXiu1u4W1ycI7FeDdskoc0wvsMST39ELrGzmm94ptCkkeZLJfNTGITdrLo0Yw8cGUYi8KxpOG92KQvGsoPkyqL4PiXUn1qSH7Msm+HVx7AKAFmUZn1QE20Z+JD6SXBhbne6Q9srrxwPTqA5Nzd40SLuufvmQYfWrXyXN26Wmh1bhzAvqtIc73I/ynLYw0fNbJZ/lne1nfDzZiuutKRlvoi4P8+T5+f1NVM/OHgQ72xJAQSMdkE68kw93jve1g4g14LwG/DU2Iy4YEmX1NKWNNdyaf35G13F96ng5aHoPWXNCUDdgPQVMBaMOAjiJlZ76iv2S+p3ig7k4D5oyw5HQn8exg5ZWeimQO/mRN6alK/FlycQKj4EhD2Wk649gtbEhsvm98YWgmMYHLejzMx02LK8baa+b7BGC4e+6lQPKSP/1jc7uwuroOh6HnUmpLGvjlnR2NA32i0dH+gaGBobHXAzNTw3L5KAADAHQD0AeAWKnsWlnuVyrXhiKDAPQBIFyQCxfknatAqhq5qsasKhOeBECqVM4rFcsrCrC8DBSLCvmscm5GLh2Xvh3pH+rmd7VC2w10dQ30dXR1TfQNt27dpqGl9TsjAsTHHuyng/h01uQEnwtlEV+gP/7Baiqr6s3+S3n5qfezupm5GjP/kMp+zGbVYeoaqgPfoAXfoKUqNeGbt8F19OB6pggDC5iJI9zcFWnpibD2gVv7QdbekJUXZO0Bt/aAWbhCxg6QsR3MyBpmZA03tkEY26sbu+72dQUAkn9YZ7g3Qu0vkWpeIWrefig3L/QeF107dzf30OCA6L/97VTooYtfR19zCzxo6uyrZ+tg4mBr7mhh9xeLv0cHP7p3jo7LYBPSRbS7Quq1GkICA3e8pvQIsziCkxfRUHCovjieVXqmnnCuGnvyWVEMo/gwK/sQK/tQdW5kTeEBPvFYJ+NMZ9lpAfEY53EYJtktJ9HxUZJ9xnXHh4+cvyuwTy11SC61vVBkGfdg1+nHhpcLbJML7S4U2p7MsbpQYn+P7J5W6nyrxPYhyTWD6JRWYpNd6phb5v6I5JRWYp1WZF2Ad2OUhdTTw1mkfQL6AS5xPwsbzCjyxee74Urc8SQPLNmdgHd9RvGurwjmVO2bGv8KAGj0pz3tzBgWYS+x0ANf7J5b6HQvyyq31C0H63oyRSf+8q6rqba3vnPJebSPmBvLKEjorEwf5RWIq9Lrcdf49LujAsLsi5rRFlp3belwY9l8b9OUmC1mk0UNlPlXYjD7Gvz2GsxOLI73L470ganXQDKmfNUy3FkiaL3O4sZ3cc/28s6NtVxa7LgDXj4ELzKB8DHg3wd1qaDte3lr1qwwV9GJU7TjxhufMLGJrLz4Zlxib+3N7roUBjaeWHS0GncWl3Os4N7e3EfB9Irj96hRCaUh3+TtTy86yS5Ln2mqAf0ti/2Ni4PNsy94k0LusIA91dM6PtzZ97JJLGIO9HAHenhdYu7Yzy/lM5Njo6Nj42+m5xZmVoeTEwAMq5anlStDq5Ig1exkCACxcqUTKLsA6ANgdNUiaGz1eQaAGaCUrSzLPizMzstkc7NSmXRePrv8YWHu/bvxtxMjv76ZnH0H6RjqbdXdoaGlpaGxUU1Dcy2VXctUP09iP7H6mShvVWAAQXA4hER+/AbE6hxF1aH9I5mwP5D5Ecs/IxOORv8pmapSE7ZpK2y7LkzXBLbTFDJ2UJEJt/KFWflCtn6QrQ9k6/k5mXBjmzUyUcYuauZe1Y3bAIAe4c3VXPaj3YJQbn5wRw+0vYeeS5CtV7idR6St9wGnr2Nd9p909It08gv/676o8AOHvt4f7Ozt5ORlH7DXa/+BwBvnYxl5V1ood5vLbnPpN7jUpHpMHL84vgV7phl3noe/3Ey+ziFcqik6WVFwlFd4jJ0bXZEVwcjaX5MbwS48yM6LYj4Jq0kNIl/xpFzzxV3zzEi2u3rdIjnDPLXELgXvcBVr+22OyYUCq8sldol5VqfzLBPyrW4QXDPL/DLJnukE50cU93SSUxrWLofoklvmnkVxeYR3yMQ5YoielWUhDbQIHjmSjQnh4cOElAM8UhijxA9f7I4neOKpXnlF9liMK4Xozar8CwCQYmUdv24fmxbGoYZVEgIrKIEEok9OkUMuxvVhocM317efvGpw8ZbVd7dd09P8cE+imdikBsJlAe12Zck5cu4pLvX2dAdV+TNnTFDWXlk01ECZ6+LOdjX28+k9TQzpYBuYGQZvh8HEwPxo99JIN5gaAtNDy4P/HBRm8xqTKpmH2cxYXt2x7qaEadGV5c47oCMNtN4BLanzzGug6f5iU8aSIHdJWLwoLF0U4ad5BVJu/ljdwz7mbWHFZUpJHL4w9llpQkFWzHeX3VNS3HNKwi4XB18kHviOHI+jXRPV5c2J2GCodf7H+tE2Rl8DZfg5c6qTLx/unH87pJCOgPevwYfxxemfhvvbxod6JOOv5bPvFufnlwFYAkACwCgAwwAMAaVKOqvqA6mGllMAjAAwAMA4AFIAZKtHump3oKpUxz7IJ+dkk7OSyZmpyZkpiWRKKpPK5mTT0nejU1Ovp99K5HMQevNG9JdaKHX13y06I39fRq42ftbeq2hBrVdDqqmpklg4Go3S0EBuUP+de+Xnrj9/Subv3YA+LzJhaMR/SyakqQ37cgu0RQfS0Yd2GEEGNkgLF6SlJ7TbG7L0he3xh+3x/VMyYUbWCGN7hLEz0tz9bydtAYAmZ1Bfuvmj7P2Rdj7QHk+4vY+W+76t3lFaLvs0nYK3u4cYeu/Xdfa38A7x2x/9j38kXEi8mHDidMDXwYbW1kb2NnauthH7vW6cP4x9klyBuVmJTa4pTGyn3Oymp3XRMkSku2LK/XbynRb8FR72YkPe8erMw+S0EMLtAOJtP9ptf0ZqYHVqUOU1X+y3zoQkN2KyV94VlztXLZO/M7r22OIWxu4G1u5CoXUy1v4C1i4u2+h4jklCoeV3BLccun9umX8OzSeL4XuP7HqP6JhX5pnH8Mwpc8+leWBpPhRqQDUllEcJb6Me5BXtayccHKg43lsVxyWHPcMHUij+5LLAnALHvHzH4iKX3t4dAEBDPxlUkEOIGF9ysQ8R400h+pLJfliCx1OCR06Jy63H5lfvW2VkuWMK92ZmBBQ+Cq/HJfEpN/rrsrjkaxXFiRzKtTEhRjFYN/L8B0H592PP6bOd7Blx3WRH/Uxv8/JoN5j6CUz0KUZ7lG+6wVg3GH8JRoSzL2j9TemCuoT6qsP19bH1dTH8hrju56cGnycMNp4abkgYa0yceX59qSkV8DJAS/5yU/4srwCIKaCrAvxUD17Q5CKMRJjbVZ/Kq7jMYiRjio4/vBuccT8opzgqHX8QU3eRKXzcJih+3U4F/XxpZ3Ub63sWNY1JftjHpc/0CsBEv+L9KADvAFgAYB7IJ+cmhpZm3gDZ9KJMqpAvLC4vzimUEwrF4Ad5j3y+X7E0CJRDq8nqxGpJOQRAPwAzACgAUAAg+xQngUSFqHJl9P27CenMlHR6emZCIpmSSadlMqlEJpuULYxKZWOzs9IP8xCEXgdX+2zveTUqfiJTNQVBfsJS1SmFq61Hb9BAqqnB1daraW3cpqOjt3OXxpbN0BeI3zWB1iHgq6q9P/K5ZvmzVo6qBAwqLNEfa9fVOvPPYqaGFqSpDX25BdqiC32lBzOwQVu6qdn6QZZ+kKUvtCcQbucHWXvArNwhcxfI2AEysoUZWUOGVpChFczQFjJygpk5IXe7dvWrAwB9e8cUZeWDtPRF7PGF9vjBXfcjvQ/CvSKQbqFarkGbnb0193jpOPmZugW6B0ac/OZi5u0n6dfuxx9NcPMN0NttoW20zdzRxCPIKXi/x+lvQnPunWjA3W2nZorJj4WYVCHmtgh3uw1/U0hM4eSfrn4cQ07dT0wJoFzzpV3xqb7my/4uiHU1oPgfdgWxNrgEZ8IV99wUh9QUsxu3Tb7Ls7mDcbxaYncBa3e6xPrvTwzick2+LbK4UezwkOiZS/XLowdk0f1TKe5pFNecCu/ccq9cumcB3YtYHlBBD2VR9jeTDojJR7oJ0b2kmEF6/FDVqXZGbAMtilkWTqeF0ohBeKwvjey+sgIHAGJWOhMwvsX57oQSHwLWG1/qicN7YAkehViXzEL7h/m2GbnOeEJwNfUQrjCMkHuQSzrfX/9Q1vHDQMNDPuMGm5rcWZ8x0VHa25DLZzwYbaFIxDUjz8vGRcylIdHicPvcoFDxSyd42wvedIBXLUs/smXttKnnBWNNacNNV/q4iT2tSW28eB4npqH+UD0zqqYijFUVwa8/3N9yfop9EbBvg+ffg5YihaAUdDJATz34kQ3EDND2g1z0dJib0V53q73hDrvmOp146hnp1LOKpGesZKH4++GfaUOd1AEhabyNymGkFRaewhSfo2BTBLWYvtbamWHR0vvXQCkBYBYoJOD9hOK3MTA3o/IcUczLJLOSsd9mhiQS8dsJwdSb7jmpeF7Wp1juVqz0rHZ3egHoB2AAgMlVJlUBdmz1zTwAUrAysyCbnZ+Vz79bXngHVmRgXrI4J5udk88srEx/UEwvLUmXFyCV/51Kqv5JWvCZZfNa+voHLFXeeaoHzU2bdPX09AwNNLZshpDroC8+zTahfzHL+/zAPnOC/pgtf0bmRyz/hUyYhhZ8gxZMfSO0YSOkoQVpb4a+3AZt2gE3tNa08tC0D4RbB0DWATC7ILhdAGTpCVm6QWbOkJE9ZGQLGVpBBpaQgSVkYPOx8jSxDUswBADq6ldHWnghLXzQdv7QnkDINRzmcxjmexDlE67tEbLZ1Wezk/9WJ/9t9t677H3dfMO/ibuUlfo9JY9841JKSHikjp255m79TZaGmyx2WbpZREUHFWRcrCm+KyI+7ixN68Te6cTeFBNui6mpIsL15oKzrEex1WmRlSnBlZf8apJ9OVcD668EYY85YI/aEU864RMdCy/YZV61zE61zcp1LCB43yO4X8A6HC+yiM01OV1knlRseSPX5mGJewHJP48WmEHzSyG7ppCd79Hd0iku6SSnLLI7juZPp4WySGHN+AMiQnQPLraz9EgP+dhA+enu8vi28rjm8iP1ZVHNVUfqy6J+6rIDAJoY/Qpf4oMt8sIUetJwAWScL7bYDVPigil1KcQ6FWCcnxI8Cko9yeS9ZFxIBfEgr+x0W/nlvrr0gfpMcc0tQeUNLuMSr+JyJydNUHOXTbnZyymaaKUNNP7wuoUx84I7If7ndBcH/CICMz3yH5myFxXjTaWDzIfj9Q9kgsdyUfp8291p0fUB7tkWVkx9zQF6VSilYi+tdl81J6qz6eTr+tOAfQ08fwBE+UCMA51U0FkFXjLBiyrQSQFdeGnr9yP89KG2rB7hQ27djQb2LR73fpvgychLwvRPVb2teB4ru5J2u7D4dEHJCQr54jPiLSYju7KiuLmJPjDUNvfbK7AwCT5IwPspIB0Hc2+BbALMzQC5TP5eOjnzdmTmbdf4G8HoiPjthGhW0rey1Lm81KVQqtSzqs3MsdX8dnx1H2V0Nb+dB0CuVCwuyxVL80sLM3LZ5OL7KeX7t7O/TYy/nZyYlUmXFPNKhUwhh/4wI/nz5zVK0ag19y242vqPriJq69W0Nmp8qa3xpTZCUwNSQ3+6K2E1bP4pmZ8UQojfVbAfA+a/JxOuqa0iE6auAW3YCGlqq+BE6FtpWLpr2gci7UNgdiFw+72QnT9k5fXnZOpbwwxt4Ya2MAMrNQurX98iAIAizpijdnsjLb0Rtv4ol31I9zCYSyjcJUjDLUjLxX+zk7+Grae2laeeg6/eHm8jR++/RcSmXL776G7Gt+fOO/8tWMfVaZez8y4Hx10OdhZeTrHHDjy8lcTOT+vCpvdi7oqKU/iYa3z8rXbyHSH2Gj8vkfvgCOd2ZP2VoPrLgZzkQNblYNwxZ/xRR8I/HPAn7HBn7Z8m2+FuOxHyvei0fbnUgORSl+NFVnH5ZueKbS4X26bnOeRgPDGkwAJK4D2S9zWi62WiQzLe5gbW7hbG7k6pQw7Bi0AMqiGGc/EHhbhoYUm0sCS6m3xyqOJcX2ViZ/lJcUW8qOKYgB4rqo1aWfoCAEjUEFBNDKkhhdRT99NLA2gYH0KRG67YhVDqisW5EsiejKogIi3gWdlePNaPSTskqjnbUnaujXG9mXKtgXZeWHVNWHuFw0jiVlxil11iEpPbah701OW/fk6WvmBLuniSLh74RQQmOpaGuMNNJRN8zEh9Vi/91ljNnXne48XnD+ab0qW8G6Oc813MeF7N4ZqqSHrlfnrNvkpWOJ91oLcudpqbONtyY178eP5lvryjBPTQQCcdvKSDl2TQi5trzx7k3+1qus2tT2bVpXAa77a1ZI/1UCU9VYv99UNCErs28xnj5lNiYh7hVDHhDJFyk80sIpblEiqLGtrq+3/umJ4Ykr4ZGv6xo03AFovqO9vrBvvFM+PDi9K3c7NSyax0VDIzMDPV/9tUn3z+9eq6iWq8OQzA0GrBObUqmlWpZGUAyIFyCYBlxbJyeUGx8G7m1+G+vrbOF7zR4e7eH0XtXa29P/eOz0zOfpibW5FDn1af169fqzDX5iWfJiifK8s/auXQH3PdL1BINTWV6yxCXU1dWwu5QR2uth5Cr4rgP78l4XNEPxfHIz9LmH9PJmL9+n8lE6ahpXqGNmjANLRgWpshra3QDhOUsZOGXQDacR/CcT/cYR/MLgiy9YEs3T5ms8Z2H7NZA0vIwAahb4XcaYPQs4bvtD6UuBMA6NdppIaDO9zCHbHbA7XHB23nC7fyhFl7Iu18kHY+albucDMnNTOXbbaeW61c1Y2tN1vZWvzF0yckPCT6iHNUuI6X91YHz63WHpv3uOr/xfvrqIir585UZqX1lmYNER5249KEhLuisscthNuC0hstBedaMk+0pEcL7x4Q3A4X3NzPuR5GPulOjHMm/8OBcsKefs6ZcsmJfNWJluldiQ8tJgZdxrrG5VvFPjG5UGidinEsxHjg8f4USkghOTiN6H2L7HWN7JKEtb6BtbuFc0jHu2YRPPGEwGpyRDM5po0Y14aLE2CPiimnBirP91ck9ZQndjNOdtFP8AjRkz9bAgDN/qrPo0ZxKeHCqsNiVmxb5SFBeSSXvo9FDaTg3DEYJwzeFU/1otADGIy9DEoIk3agmRHPpZxuphc5L0cAACAASURBVFwSlKWIam+I626I2Vd4VWd5lef4NVe45deFVXe7WNmSDoZykC//sVne3wreiOd661oqHwvoqSON309ws4er7ozX3JHWZ8jqHsiYGdP1KZMNKSOcS111J/k10dzKA5zycDYjjEnxY5bvrWdGcBpiuzqu9Ihut3GuvxY9kYoxyj4y6Ccs9+SPC9PaOckc1lkyI76QfApXdpHDeTz1slwqrlruqR/vYHDqs3H0K3eKYhPuByakBeWUnG1u+oHVSOG1M/uGu8bGBydGB/p62+mV5NSsmymPk+/kXKZXEbo6+HNvx5Vzs3Oy2dm5+ZmF+dH374aXl8YAGAFgdPUKkykAxgCQrpaUswDIAVha3Y1WALCsWJ6bl8nfSxelk2OvXjYLahmsH4SttQ1cOqexTChiDw2/nJZOSD/MQSqPgrXJ5Jra7pPsbg2bL5BrNpbQehS0HoVar6ZiGKmmpqahidLQUNPaqL1li5rWRpSGxkdXSyTyj2T+4az7jPz/jExVhfn5R0hzE6S9GfrKAG5gr2brp+YUjnKOVJEJt/P7WGeaOMJM7OHGNqo6EzKwQe20QupZI/WsEXq2MH27F31qAEDnMnahrD0RFm5qFq7qFs5ocxeUpQfC2gey9EZauKjvdlMzd0IaWCMNLTXNLTV3m6tbGG2zcjD08dnu66vt7qvnFqrrGLxpj+82V39LL///dfDgw/NnKm5f4qQnMzPOV+de4eDu8wl3BPjbopIr7blnOp/E9z451vvoaGf6oea7B5nJe1lJ/tWnPRjfOFYkujw770i77Ii77ULO88su9k0uconJtjj4wCAp1yod54LH+z4jBdNp+56SgjOIfvfo/ncYXhfxdneIzhlU9+wynzyyP54cwqIeEpYda6fGd5WdERCOC4knu+lJvYyz3WUJXZR4EeFod3WEUrFOqVj3IzuUidnLJYd11cb01McNcOIHG44Pco+J6w4yKX64UmcM3gVL9sCSvAgk32p6aCUlrIEWK2AkNZDOtjFu9XHvtNdfE9VdFNad7+alDLSki+pSWypvj/FL5rqq5b2NU+11UyL2dEctv/xxxt3oiuKkobpMyfP8ifr0KdZ9Wd2D+bony/XfT9WnSpvuz7TcHWm82MM80VUV011+uLvsIL8mlF4TmFPl96gmiNZ0FFsZnfLEL7Mkilx6sqvxznTX99KeJ338Gwza0YdFIUkZ7hcfhV57cgBLujLwnDDC+WG6hT7YQqquevDtg4i/XXJyObYr4LTVjayjDVyc6OU/5+TjQCEDKwtLc5Kp0WFOQ0167p2Ux5dSsy9iyHkiIXf5twnwYUEmkc6+n5V+kI/L3g0tLQ4DhaoDNAfAMgBSAMYBWARAvroMLf/so0KhlM3JJt9OSKbfLErGJ0f7RG11zHoyu5HCqidwOKR2YfXrwbbp6ddSuQz6zLJ53eeE/LuzBi0cjUatV0Oi1yO+QKPWq6kcgFDr1VSjlM9Xwz5JDv7L7/y4ULJGvhr64281NKS+fu1GBriGOrRBDaahCd+ghdygjtJQg2ush2lowjZoIzbpInQtNKx9NFzC4c5hkGMIwjEIaecDt/KFW3lDu90hM2eYiT3KxA5lZIXYaYbYaYnaaaGmZ4HWNUfomn19VF8VNg3/6oSydIObOcGMnRFmrihLN4SFC2RmjzRxQZo4ocyc0Wb2KBMbtLEV2tgKbWwB322DtLRX3+O+ydFvu+ve7a4hW52DNjkG6Lp4mbh523n7/zVgb0RYRGx0dPw3cSe/jb9xLSEv40pN3m1RSeoYKW2+LH26NLn3cYzobjT/eqjgmh//smflaTv8KRvCOUfMBfusqza5j9wfFfpeLHT9Jtc6Kd82HeNUiHPDEfxxpEAcdS+GFoxlhOAYgU8pXjk4l0KqF57mT6MF06ihZPJ+BimKS43tLD/dWXmqvfxUG/WkiHKil5E4XHl+gJ4oxh2VjO4EAJrot2jGHRZSY9srjrXQo9nkqM6KuAnupbnWW5Psi11lcW3lh7iMcArBi1LqX0kJrS4Px+B8izE+rMpobk0ck3qknhHTUpsgrr/UVnmxh5Uy3vJwoOFWW+XFfs6DSUHRnIgwzSdMNRHaGY9z0qLSbvlXlMSM8u6PNaR3UpNHau5KeVnTDQ8l3MfTvNTRhpQJ3q2JppQhzrmhhqRhXlJv/Slx7ZHqyn15DJ+cyqCnlZFZ2LCkNM+/X7E9fd3pTl4Qt/VcW8fFhsZTxbjwpO/cfGL1XE7s8ks0O3nX+ynpFJl+OQ97Lr0g6VpmgsspG92ILYYHtzuftPh7agilIXdyple5IllanlfI58DCwuKbkbEXwr6WWj6rlFOVx6wjNXCrJNOjS0vy6YX5qaWlPom08+10y8xU94f5odVB5RwAUgDGAJABsPRJrg6WgXJZIVcuzykkExO/9Le1/7PzReP4Lx1K2avhn1qErbXCemp9TSmXR+7sber/pXfg19Fh6Vvoj/2e/wmZSPR6FX4qONFq6mtvPj+fVAr/CZkfF75WmfwzMmEa6qtkaqI01BCaaioyYdo6iO0mapaeas77EI774Y4hSIe9iD2+MEsfaLcnzNztj2TqmiH1zFG6pihdU7iuCVzfvIKzEQCoqkEbaeECN3OCjJzgJi6o3a7I3a4wcwekiRPSxAlp4oA0tkUYWSGMrFBGligjS4SFDXK3HWq3s5q1h5a9n7ZTwCbnwE3OgWquoWrOwZpOgVtdg3d5hBr57jP02bvLJ9jSw8UzyDs2au+jxBhB1nUJ6eEs8e5wfpIw9UjD5b315z25l9wrkxwJ39pgL9gSUpzy7jrmZrnfyXdNzLWNz7G8XGSfQ/AgU33xxAAcKRBHCcbTQmiVYfSaMEJZQEGp+1OSN40WyKAGk/GBZFxIDfkAnxYjJMXySTEC4lEh6biYcnKwPGmk6uIg4+wI3181w2yjRvJKD7XRjoorjwvosTzK4a6KU+MNl+eep06yr/RVnO6qOdHGjGGWhbEZEezyyEpGWHaBa8YTRzI5lF0RXU+P5lXGt7PP9XKvd7Ou9dbd7Gffbq+83F51SVRxZZhzf5Kf/Zr9ZID5hIU9n3U3pDgzhEeL7665xCw8ik0NF5ZelHAyZxofzzQ+lLY+GOemvm5MGWJf6ak921efNMxNHmw418M8zq2LpjD34evCGJyjjNr4QtKheyVh3950Ssn2ptTFUuoPY8rCbj3xPHTByu7Apl1hKPNIdafobYGnLEISHMIv+camHohKifI+72USY2b7jfXX13ziMo8U1+X2TXTPrUgVysV5mWRZOg1kEsXY0MyPrcPtteyq/GLi9xhqsehla//4yMisRALA6PJKl1TWsyTvV670AWUPAIMAjAEwBsAgAKMASAFQgs9+lHKwIJ19MzDwspXdQGc30Lpf/HNqVDw62DbQ09zOZbBrcTx+2cgv4pn3U5Pz78blc9Dvtr3+h2SuLXyp4PzkbLCmrf0Dn/85mb/H8t+RidDYiND8RCakuQX2lQHa3EXdIRjhEAK334uy24uwCoCZe8DMPSAzV8jYCWZijzS2RRpaInaaw3VN4LomyB2GCB0D2A4j2E5TQy/TX6eRAEAX7u9EmDvDzZwQ5s6o3a6o3c4Ic0eUuT3SzA5hYgs3tIYbWsMNLeGGlggjK6SZDdLMBmZiC7dwRFm6qdv5aDn6a7n4wx1DILsgyC4I5hyi8ZcIba8Ibdf96g7BaGMrDQPzrXq7LI12Rf3FIfdYpPD+uZGiVOHdY9yUcNYFr5pzrqyrHpXXPbBX7fOuWmfctUl7YH85x+50nuXpAourJXZZWKfiUldVzCRQ9hKpIc8YYdUVkXT6PgLBj0IOZDH2M2n7KSV+tJLABupBIS2muTSqueRAc8kBQemRbvLJQcbZ4Ypzv7CPKZZQAECvWjy5JdG80uh2enxX1UkR41hLWUxfZdJo3ZWZhltjzCs99DNdFac6WaeENXFCViyfGV1TEZGV73LnsQ0W519RFsFkRPFrTvY0Jo88vzPUePd1Y3pv7U0u+YyQcXGkMXWcf3+clzZcn9ZVnkLMOnQvxZ2Yt5dFjGLjowtTgx9e8GfnJYxVPRivvTtWmzrV9GC88f4EN32i6f7rhlvD7JRhzvV+VrKYcbyt7hi3IZbFiW5gHxc2nW9+fonZdD4TG5pF2o+pO3SH4p+QZfe3S3r2/9DWC0cZRiKMItGGEer6YVqmUboRN0Meld/JZWWeK0yKfhR7Ov/0d7Rb35XdzWE9bfhJOCSdnJPPzfw2KZ+ZBO9nxnvbhBwatx5fiE29nHk9i5Qv7GvvnxobmpfJAJAAMLZq0tUJFMKV5TalogeALgDalhV9yytTq6teCuUKUCwq3k/Pjg9Lh7qHu5p5jXRGVUlba/XrnwQTwx0jPwr6Wus5dQQenz420Tu3PCdVLE8rFRD02Srm/5TMz1FULaD8LkJ+Bud/EjNh69H/EzK1YBu04ZracE0NuJYaXHMjbIM2pKkNbdqBMrRTs/ZGWgcibINQtsHI3f4wcw+Y+acmEMLIBmFgAdM1he0wgu0wQOgYwHbsgnQNYDuN4EYWf402BACSL8ID/2GJ2u2KMnNGmzupmTupMliksTXCyGqVSRvVQRpbI42tESa2cDMHxG4ntK2HuqOPprPfJscAtL0PYo8X3N4b5eSnYe+rvtsDbegM07OB7zBHbdJDqmloohFWOhtj3K3uHQrk3I7vzz3fmxVfc9mPkORCvOqGS3XDZ7jfumt5NcPy3BOL03nmCYXmlwss7xTaZObZF+N8caRACiWETAyhEUMYlNAK6j46eW9NWSi/8qCg/AALH8LEhQrKDrXTjghwkfySyObCyJaiQ2LcsR7Sqf5nJz/ItAGApK/M2wnx/JIj/NIjnWXxneUnRWVxbfS4vsqk4dpLo7XJvbQEfumRFsKR9srj7bXHRfVxwvqjzawjBEJAbpE7kRhIJgURcQENjLju+ktD3FtDjXenBU8G6lIrS+Iqio/2sa4Iyk7Vlx7lkU5xcKcfpvicPGGQes22MNO1siS8ujC2vjBxqPzBbEP+NOvBdN19CffJbNOT5bYi0IUHL0qXhPmz3McTrLsjdZfHnl8ZFCYJ2EfZ5Qeba+P5vEQmP4FQe6Sw5mBGzb7oPBvH85rb/g6ph0Fq4dC2SLhh9Ea3BLP/dcv3dFZMMetx1y+N3W/4DAGV0kJmvqjh9nPxgvKsOgqlg88bHhyTvp2YGZfOjE+P9DdzGATi98WExw+Lbt/DZdIaK/omhgdkM33z85OrKtkeJehRebSvLIsUoBuATgBEH1aGAZhRmYnIF+XzsqU5iWzi1Whf53B700B7I7eeiiFl1TeQB3v5svGfJn4Wj75sbWupEbQxh8d6pt5LJuXyGQCg/1Eq+6/ZrArOzz1Hfiey/fz8d3XmH8lUX7+G5Z+SCdfYBNfYBNfcCNfUgGtuhGuqyNyG2GmONndB7vZAWvqiLAOQFn5wcze4uRvM7BOZcH1zaIfJGpawHbtgevqwnUaQgRnc0DItVwcAaHIaaeBhjzJzRJk4qBnbqRnZoowsUUZWSENLlJEV2thazcQGbWSLMrRRfUSb2aItHNCWTmq2bpr2npoOPlvtvDRs3ZHWLpCVC7TbGTJ2gOnawbdaQzqW0FdmiE270BqbUQgUCgZpfQHpasOP+9k+uxLbk3eRdz8Gf8k/57xb3i0PbKbPoxz31GynC7lW3+QaxecZnMs3Tyt2yC11K8T7YokBZFIwhbD3GSGEQQp5RtpLxPkzKCFcRqSo6nBb+aG28kPiihgx7bCIECkoiWopiBQUHuwsOdqLO/Fu2BwAaOn9lz9XnOmjnmknHBcSjoqpx9rIR/mkaCE1trf81EDVmYHy04LSgxXZgczCvS20g6LKGGHtESErVtwYz2NGMxkRzMqoZ9QQDNaHRT0iqj3TyUruZt6YEGQNNd6n5UdnpQVhH+27cc4u8bR58aNQJv5U9r2Qb09bJn5reueWDTl/H5+cNMR6uCQkK1sJs5zc2fpM0FIKWn8AYgroqwI/M0EvHXQQQGvpUstDaUvqUNM5QeVhDimczzjSwjlVXX+0gBFxhxoUj3V1T9PddgqOjoYQByCtYxqb/6Gtd0zHJ8X9DjWZ2U4aHGuZnRucmHn5erxv4reRmfcTE+/fNvd3EwV8dv9A+69To+8lY5Kp6bdjXS8EAgFTIGDSWaQKbhn3Zavw527x+Cv+xBuh9J1Kts6fXxbML4qXlb2rlpYjq9teklWbH/mSfEkuUyy8k70dnRjsmenrnP65W9z2T1pFKZ1J4DRVjA11TY/0D3a1dom5vT8Khid+GpmZGH0vkyj+d5CpgvO/IfO/6wCpJHh/JPP3WP6BTEhzE6S5CdLaCGl9JBOmtRnS3grfro/Qt4IbOSDMXFEWXggzD4SZK9zcFWbmBBk7wI3s4IbWsJ1mkI4RcocJcochbIcBbMcumJ4hTM8QttMUrm+ONrZm8zUBgJraNBDG9mgjW7ShDVrfErXTArXTAqlvgTKwVDOyVje2UTOyRhtaoQ2t1I1tNMzttHY7aFo6alq7aFm7a+7xULP2Rll5waw9IUt3yMIdMnKFGbggdjrDdCygLw2gDdvh67VhCDU4bB1iHQz9BXybFuKvtruSIz0w5yIrbscx0mOJjw/gcsIKCkMeFvhcK3RKLLRKKDJNKrZMLXXKIXkXEv2KCX5YnD8ZH1hJ2VddFkYkBuYWuT4t9aKTApsZUZ3MmG7m0c6qo2LaYTHpQDvusBgb3YmJ6cOfmG73AQBSriDeNMS9rro4WnOpn57YRYkXkY+24A9xS6Oa8Qc66bG9lcd7yuMaMPspWZ6MAl8eJbyFEcWjR/EronsaTnU2nGxjHxc3nmypj+VUHWxgxIpYZ0U1Sc1lib11N3vZtyjF0Y/uBVy75BIarv11uGZuZmgbM4VNvYjLPZyVvjf3cSCx8BCXcnGE/WS5nbbcSpbU5c3UPgF8Amglgw466GOCYS4YrAMvGOBFGRA9neGkdFYc55EjGwhh7YzYdlY8s+LgvSKv00/sfG7vMrygqfUNUvMYChWN3HZ6u1GShflZO7/b+3JY2QMTHcvLU0Apkb8fk7+fAYrFpaXFWflS75sp3k+veiXzox/A+MrS9NK8bOGd+GWrSMzr6W9jtbHFP4uHZ6cGJJOit+P86anupZUhALoAaHgv71J89HoeWx1dSleHJVIAZMtLSytLSsXyklw2MzU+Njw4/2YUSKYkv470D3ZyWtn4SkJzyz+HfhSz66uaW+oGhsRT0tFJ2czk3LwMAGhNeff/gsxPW9R/2oldU/b8Bx0gFZmf4PwvyYR/JHMLpLkF0tSGtDbCNTciNLTh2lsgrU3Q5u2Qjj6kZwoztEWafOyvIsxc4WZOMBN7uNFqzPxIpglshwFshwFMzxCmawLTNYV2mMD1zTfbmo6MfQEAdDt7K9LAGrXTArXDDK1rjtphhtQxRe0wQ+20QBtYoA0sUPrmagY26sY2GiY2mma2WuZ2mhb22rudN1m6aezxUbP2Qll6wM1dIUNHSM8e2mELfWUNbdoFaenC1Lcj1m9BfqGNQGoiv9iIUtfavnW7tpbarq3rA+wMLkT5Flw7wshNqCxNLC6KzCwMvoPxvkFwTSbYn8NYXy5xSMG6ZpV65eF9sDh/Ii7gGSn4GTUYS/LJxrhkY12xeK9KcjCPHimqjBZXxnbSYzsp0T3Uo92k2G583C+s/coVBADQbx2hQ4xzr6suTrCSRyqTuqnH24lHWvAHuZgILiZCXBbTVxXfWxXHxe1/luddgw3iUcI5pP0c0n4uJVJUc6ytKo5fEdNWF9/ecKKTe6qt/lRXwzlh7dnK0phK7FE29TQDH0vBHE5Jcf86cmNApHpWVii36nJzbUpz5XUG/lQN8RyXfq27/sGsmAR+rFG20+YbcHIODjynACENiBigpxYMc0E/E3RQQWcZ6PhBwrrRST8mLDvUQooUUQ4Lyw5V4/dm5nh9m2HreWnrrpNqaoch1AE4tB/aFrfFI8U/+knsNeLtSlHNpHRseWVuSf5uRjI2Ozs9vzA/M7swuwTG50HX27mBhZV++coEALMALANF71BXfUsds5VdKWoUvxkakc8PLSz0zM31LilU1rKqm4Ver+5Gq2Sxn0vYJz8sTs/PLSqW5YrF4bdvBC/FnNaWnhfdszPTMtmMbOFd96ue6qa6BkFju7jtWVUZu6l2cKRr/sP0/AeZZF4mVyr+P5G5ht8f68nPhQSfFZz/+8hc/4lMrU9kIr7cAmltgr7cDG3Vgb7Sh3aawY3sICN7uImLqp0DM7FHmNiuZbOrZBrBdhhAO4ygHUaQjhGkYwrXM4Prm7uGG8oXYQBA/+ubXWhdc+R2EzVdc5SOKeIrI/hXRsgdJmg9M+ROM4SeqZqBjbqhtYbx6jGx1TJ33GThqrXbXsvcTtPERsvIWsvASmOnhZquGUrHBP2VCUJ7F4TeBiG2IL7YilbTQa3fDkdvVdfaqqGxcZOm2qYNsG3a69wc9S6cDMy5H0MsPZpXEp5eGvAdyesa2eVcqV1ikf2FYqf0Erc8vA8OH4DH+mJLvDE4z6ckzwKKZw7JvZjoRcT7MnCBHGq4qDKmsyKusyymj3G8m3K0i3jwg2wDANDczw5j5RcHaIkjlUkTrOTXVWe7qcfFpBgh8XAzLqIBs19EP9rHPNlbe6KZHFldHMQh7uNSwquxQQ2k/Q3E8BZ6NJsQRS8JrSZEcBiHBazj4oYznY1nW6pOY/P2Z973x+ZHVJOONdckZj0Oiojb/nW0VuoDPxzu2DPKWT4rlUW/VEO8LqxNn+r4AfzCBiP/BB1lizwyaC0HL2rBi1rQUQ66qsBgHeitAJ1k8LIM1GUNUxI76cd6mMe7ymO6aTHdjBhh2QEGPjyr0D861dLu7FbNAzDUfggRAjM/qf8d6Vq1iML7sVHwk6jvzauR6fGJ36bGZ8ZnpDOy+YXpuY+jjY9F44eVKQAkAMyDpcGxgQp+LY1Xw/1R3PPb+LhCMbS01C6TdS+trPmy968K2ddUPqprp1V57KR8fmru3aJiWSKXNfd3FzOrH1FIbZ0vF+fl8iX5Elh5LRnvGurt7O3kt7VymxoFbbyxiX6glCmUi5L37+bkcxBijZkv/qMJx+/OF78H7N+0fz5fVfndQX80+PnXPHYNxT+GytV7kKANGpCGNqS5BdLaAmltgrQ2QprqsA3acA1VirsVvlkXoWME17OAdC0hfUuYgRXc2EblnYfQt0LqWyF2WsJ3mMJ3mCK2m8C3G8K3GyJ0jOC6JjA9Q+ROM7ieKUzXJOm7LQBA0lm4sYs+cruR6iC+MkR8ZYjcboTeYaquZ66pb6lpaKVuZKFuZKFhbI42MkXomyD1zVXp7qdjZKVhYK5pYLrJwASxSQfS2AyhN0JfbIShtWBoLfh6baT6ZqTmZtSGTegvNNXWqaMgJGIdpKuH9vHSf5QSVYFLxBOPZhHCHlL3pVICk0tdY7OMUotdcsk+WLJ/Md6zGO9eSHJ7RHK6R3TIKfPIxbsWFruTSwNYtEheZbSwKlpUGd1Jj2vAHZga3QYANP/bV69Y54bLz/dSEgboCf1lJ4erEvsZJ/jYSE5xmIB4QEA80F52WFwR014ZzadHskih9cSQBnIYnxbJpkTwKIebydGVRWHPCoLryeHcykh+XaSYc6q9/jSTdui7VPvUu06PHnm31Cb0Nl0vyA2ITzKLTbDOzTlcX3WNxbje+zx/XEzp5pby6I9f838Aoy1g6J/gRZmyk6JsJ4F2Kuikg5floIsGesvAj2XgxQ9AWLDISX9dc6W74uww69xo7ZlhWtww/VgfI05cm9BQHn8n0+/rbw19vjX1TrQMvOB0IfdQQyth8FXr2PjgwPCrvlfjfaOTAxOTY7KZqQWJVC6RLbyTfJCPKsAgAH3Lyu738yPKlQnF8jJQjk2Nd/Z19YwO9EvGB+Uzg3OzfbLZzjlZ14fFboWyWwn6ARj6TOgzt4qlinWpYrl3fKx/amxqYXbwt8nmnwc4Q4PNo6OjsnkFAHIARj/MvV6WDculQ5KpCZlkeGJsemZiTjo1P/tWPi9bWloEK/L/n5L5Bzj/LZkamyHNT2TCNbU/9oG0NsE2bYdvN4TpmkI7zKCdFjADK7ihNczIGmZgBd9pCdezgOtZwHeYwnRM4F8Zwb4yUMEJ22EE1zVUTVNUUbT0mSYA0OsxpKmzPkLHCKFjtIax6pojtJ6Zur6Fur6ZhoG5mqEpSt8UoWeK2GmOMrBEGViqqlC0oZWaoaW6gYnWTkMtfQPUVh249hZIXQtS2wihtSC0FrReG66+GaGxA6W+DfmFNhKmBYfWQxAE+wLavANhYq0dvN/sxnfBFZVniTWnbpQEJxW4f1vgfKvQOYfoR6CH0BghRHpgHsHlDtbmFtY6neCYi3clkwLqGZF8ZmxLbWxz+WFuWWQL7cjEsAEA0PKHL17UHuyiJ/SVnekvOzNUebaPfnK4KnG4KkFEjuFhI4Wkg+3U6C7G0fbyIwL6AX5ZVHNZRDMtspkawSVFCBhHBPRYFZk1JWGCilhhXUxDVXhDeXRzzVE240hejm9eji+5NLyt7iyHcZyGO3QjxT3mpFVm5sGupixB3YO+JszSEHdSXNtWkz/QUAL62aCfqXhBAV1U0EUF7STl86fKpnwgLAEdONBeBFqzgeCJhHlzuDZ5mHNtuuXmJPtiH/VYJymmnRLbUBrDxB8hYw+mPdmblOb77b3gO3kx9JrbzUJKT2/j+JvBmRnJtGRhZn55dnllekk+C+bmVqQTktf8wY7iNl62iE8b7Gt5O9EunRlemJuae9fV393QyhX/1Dk6OzmjnOudnhC/nRBLZvqWltduKxlbtZCdXlXhKQFQAqAAYFQq4f34srpDwPmxkzvYyx8ZHpyflwCwCMCi6qJ4oJwEYAjIhxdmZ8GywU7QpwAAIABJREFUQrkyOzstnRlbnpeClWXFknxpfvb/PJkfl13WEP3PydywEdLQhjQ3QZrakKYmpKkO09aCaWtBWhtVq2GwrTsgHUNIxwjSM4Xrm8MMLGAGFpC+OWynGUzXFKZrCtMxgbYbwbYaQlv1oa36a2TCdhhBOoaQjiG0w0jNyLiep66C8/8K3KVKgFWIrh20nhlK1witZ4LWM0HpGiF0jGA6JghdM4SuGVzPDLHTHKVvjjYwU99poK6rp66jg9q8Da69GaahBVPXgqn4VN8EaWyGqevA1bfDEJthkBYc0oKg9RAEh5AQhIagLyEb9y0XkgOz82OycUczCIe+zfW+nOmURwimlEeQ6aGEsgAszSeX4vaQ5JxL88JS/ei0UGZZJJN2oJoSWUkKZ5LCRof1AYCWl74QN4Q2U2O5+MNCUlwP/XQP46SYeqy3/MQwM7GHES8gHRZRY7rLj3dXnRDSormkiGZKlLD8UFv5IR45klUa2kw5KCiL4ZNi6jEHucToHvaZrsZTzLIwIjawIMerMN+HgA2hEyN5NSeGWm90cS52NVzHFR5Ouxealx3LIF1i0W6NdzDARNfij4LOWoyI8WS8qXSuDScTPpW3ly53/gA6f1h6nivjPFxsfLjEfSBvvCNvuqsQZEyxb4zUXR5kXxqqvzRYldRHPy3Ax7EKDxTc8klLdi58FErGxGKKY3GlCTWMm+2c3HZReV8PVzY9BlaUix+AXAmWPkY5+SKQzcrftI+2YzrYmW1syk/dIsm0SDL9+sPc9Jz09eggm8ckVJEEPa2LQDazIBt9Lxmek40rFGu56/zqLQkTyyuTHxbnlWAJgLmVxQmZRPxqqLpdSBY01bzs4P8y2PdeKgUAALCouiUBKEdWU+jXYHkOgGWgkM1LJyeGx0YGpn99s/T+Hfg/mM2uucj+OzJVcP5xXrJGppo6tGEjTEMLUh1NTUhTHf6lNvxLbZi2FqSpCWlpwzZthb7aAX2lB+kYqkwP4PrmKjIhPVNVswfabgRtMVCRCfvKAKFjBNc1/IiljiGkYwjXNdlgbMLmqavSWscgfYSeqSqorgG8hqgKWthXBrCthojtJh+zZV0z5E4z9E5DtJ4eavs25FYtSEsDpqEJ09BUTWVhG7ShDZsgjc2Q2jZIbTO0Th2C1BGILWpq29Dqm5AbNBFamjCtdeit0C5rtZBI6+/uRRUTTz8qPfKoYG9BaVhhaUghNpBA20uvCaPUhOIqAnCMQCIt6Blp7zNcKKFkL744+Bku9M2wPgDQ0gfk8/oANv1QPelANSasAXeosyxeRI0VkKJF1Nju8vhO+rF22tEuxvH+mlM9VadaKNEcQkQz5WB7RUx7RUwz5SCrdD+7NEJUFtdOjefiYrnEmBbG8WpSVEa646PHLvfSHTKzPQsLAzMyXJ8WBLfVne1kn2+pTPp/mDvzuCbPbd8/7+sbyUBCQkIwAZRho3h0t6dWb62ettpabZ3qtBEtisVhKziA84QDioADg2UQBEkaCCCBMJM0kEBMTC4IglBQCkJBkKmhwSCUQJ77xxsQh3bvfe6551w/6w8GQX3lm/U8a/3WbxWm+op4PmHXNwcFbRAmHu6tFJt+VsP6imZpmjb9Wl3O1Y6SCN29SIMmZqj8dq80pLcouLfwUl/R+e7CM+0FJ1oLj7VJjzUUHa4v9K8v9K/I2leddbA+77goyuP4gQ82rLVZ+AlYs4Hlf/ijgIAvL13ekBhzUJ4R2tt0X9f+yKjvNg4N6QwjvUZTH4Tt0NQLhwdMvw2MdrW9aNT01EmePy7r66h5MfBkyGCA0Dg2ZDL0aVSS63Ehwuyk9mf1A4N9fQO93Yb+3tHhPmjqgyb9+NYDvcnU+3Koc+C37oH+foO+S9fT1NFa1dykaWxQNz+p7u1oGjK0j+84wW0NmiBsHN+A0gfhIIR9L/UDg/293S31dRXVVdrO5sdQ1/U/SebENBnOpHmyjPKOeJPMcUvo8RFqGkKlARoNtWag1lYIgwZoFECjAQYTsDjAhgvYDoDriMOJTJ+JTJ+FTJ+FOswCdq6A6wKmOU+QiXKcMa7TxJF14tRKdvmLREHG4dy4axpq74zYOQGuI+DMANMcUI4jMs3JfCSe5gJsnICNEzrNhcA1k0l0mEW0d7LgcDEWC2FQAJWMUGkYnU6gMQk0FkplAioLWDIBmQEsrcBUDKBTMLIVncmlWXOIDCbCoLOncxz+wmJNt+D8hbhgiYOP/zIeb392+iGhYOfthI18/oZc8ZbcvC2pGWv4aStv8T/n85dn89fl8TeJkzaIU1Z3tnEhBCMjhOLCz+4KVov4K0V3VmYmrpYJ3MszvCsyvbXpO8qSt8qS3BWCLZo0r6qs3bU5+yrFe8uEnsV8d1WqZ2XWjopMb3XaNqVwq5zv8STvYH32wdpsv9q8w4qMPYkxq/1OzT514b0LVz46H7TgyJn3jpx47y5vS5PqYnXRsVyBtybvWIFw/6XA5bERm1U5gf0PRbDlPvy5erjyx46ShFbJtX5l+LA2aqQ8zlieMKwMN5RcHVJchZoIk/ZaV/GZmjxfbdZObd4+jXhPZbZvcfIOcYInP9rTx3f+R8toMxeh9vOA22fIR6tpC9ayFq1z2Ou/qjAzzNj3GA52mAZ79S9+GxgZ1Y07DwxBOAbhyNhvnYZnNf0tWn1XzcvBFqOpc8xoVtINdNZoJHfTosVZ8eXq3Lbm2paWuo7nLR39PW26nqaejjZdT/9Lg27o5aDROGwc1r/Q63S9Ol1vf39Pn76nb6C/64W+3aBvGxnqGp8Iw8tLXePioY5xqe0YhEY4ajIahvWdnc11lZpSdam0uUr9/wWZk2M8Jb6ZPF8jE19ZT6FiFCpqSUMtaQiVBiypCIOOWjMwOg2h0gCVCugMYG0DrG1xOM2tkUlwAntXPG0i05xQthPKxm+bjhjXCeU4ohxHbJojxsXVCE4kZ0exhAIhgBBcCKMDO0fAnQE4DoDjALiOgOOETHNCp7lMkImwnfH+CtlhNtFhFoHjhLJsEToT0GgYnWlhbUNh2pKtbS3oNgQaC7FkATIDkKiIJRlQUEBBCSwrBteOyra1sGYSWCxbRzt7Z1s6l8SwI9k6kWZ/YPO3zR/G3thZkHxclX1WlnlQkrmzULRNlLKRl7BCcGel6M5aSdKmYsHW/124yqCnQQh+HyL+75KvslPWCBKW3rn1qTB+qTjpq2Khuzpje3mWt0bkVZi04W70yoL49coUzwrR7mrxPnX6Lhl/i/TOprLkrRqhpzLFUyXcVp7hXS3e16U81yw52So72yQLSE/YeuHiJ7sPu/me+OuBk+/9bbfD4vWkv3nPuH3Tvb4kqE4aqM0+qkjfz4v22O3jdtD/fWG8d7smET4thT+p4ePSsUrhgCrSqAkb00QO3Ys0quPgw6QBSXCH6OSQ7LLp/tXukrPV+b7q7D2yTO8CvkdF1j5V+t74yE27Ds6fs5zGXYhRPwKsRSh3yRT2fwDmYsT2E+qnnh+F3TpbUJLypFHV29fcb9ANQGOXabRl1NgJ4cC4mnVwdLB5QFc/ONg2ZnaRhRDCUQPUtTVoCtSFPygLk55ocnqfVnU1V3e1Pe7qftrW0dLY8qSlvaXv1x7D0KBpbBRCEzSODL3QD/TrjC8HoGnEBMeGoalvdLTTZBoYn/8yQTiA58wx2AxhA4QNptFuaBoz/11GR/o7G2vLi6U5kryMiuKs/3kyJ7wR/lUyUTIFo5AJlhTUkgYsqcCSCuhWCIOO0ek4qGa7AzobhxPh2AN7J8TeFTi4AoeZeCD2M1G7mRjXXHFFOc7ItBlmMtkzsGlmOBE7J2DnCOydTgYzcDjFEjL932YAeydzcJ3BNGeEOwvhzkKnzUTYzijHmcBxJdq7UabPIdu7oWwnhGELqAxgaUVg2lJYXCqLS6GziVS2haUNRmaiJAaYSsEoREADCBOhTWcwneyIHBvEmsHgOmBMOsaiEqxJLDv2DCcujUEgUsCKL2af918vjveTpR1VZB5S5ewvy9wtSd5WlrlTkbKt7I5nQ+knY6NTIAT6PmZ59mp5xubClLXpiUuT4z5NT1yaJ1hVLNxYnLwpM36lKO4rfsTngvBlBYkbyoTbVUKv8ow9yrTdMr6n9M7mMr5HGd+j+M6msuRtVVl76/P9BrShTUUnq8WHc+/s2L7TddE66kov+73H5x+/sPRb37luS9H3l5H+9u3MO5FeWvG5uqKLonjv0MCvvt5An78MOXBgXnFqQKvyB706B1bnmx4kjdy/ActvGEqCenMuD8tiYElES/Jx5Q1PZbhHnWBvc/6xBsnR8qL9t6JXhF5YmH5zXV7CtqArK7/41ok8H1AXoGAeAAsAmA+whWD2JtuVhz759oy7f7iff4R/eFqYrEra1Nvc9lJX199Tre9vNA63j4ziywsMgy9b+gdafh/tNMEuk8m80WB0EPY21yhENcWC8qKkZk1m90+qttqytscVus5mQ98zfc8zfc+zIV330OCA8eUgHBmGIyNGg2Gwv39kUA/HRkxjo8NjY12/D3eMjRkgHBnXHrQZR+sMhsoXhnLDS8VAv0ava/395RBeOTIO9rU9USnyC/NSNSV5T+4X/f9FJkYh/5NkomQKbl9kQaEQLClmMql0hM4cJ9MKmHVCNsDaBmVxEY494DoCeydg5wzsXIC9K36mxexnEexcJ9ohyLQZeLZE2TMIOJw4mfZOuE5oqTunX49CCBqaCIu+scMcXREHZ3OpyW4WaucGODMBxwXjumDTXIh2s3AyMZYjoNkCSyag0C1YdhSWPcXajkhlE0hMPDAiAyPRMAoRUAHKnkJ3ZjGc7TC2DaDTCAwWmEogcpgsRwfaNA6DyaaSSIypGIUOnP9C9tw0727M3iclQfXSM1U5fk+KTtQW+NVk7+z52RV/EelunlUu3lye7i4RrJGmrMkVrBDzPs8VfClJXS1NXpuduDLk3NxrF967fmHenbAlxQIPZaqXPNlTnb6rQrxflbazLNlLnbxdydsqjd+kEmyrzTmoSPHqVgbW5h1WpOwJD/pqzmfA4WPwt31ux89/GRWz7cSF5Yu/YW/Z+X7Q+XWazIttitgn0qsV4oDUGK/vds/03uN65cKK3KRjjdLbbVLe4P2UIXXUmOYqLL+mLwxoSzs7UhQFK/hQGdMpPKEK26q9taOt6GSr4ow6z/dC4PwN7pSN35A3bmAu+obOWUIA7wPqIiJthQ3xcxJxCTpjnZXP1XUSTbz6kTj7XmpoWkgAL/C29Ieq9kfNL3uahvobfx9s+P0lPks5oP/tSUt7bXtXy0tj59hY8+Bvg2OjEEJoHNA1VWgLee3lOTUSnjwzojAjpjDrdsW9PP2zJ3BED0cGoL7P+Gu3rq+nt6erv7fHqNePDQwYdLrB/v6xIQM0jQ0ajS0D+oYXhnYIW8bGKnq6FS1PNT1dFb/2aft/k/b2FvR0lhv0XaZRg2lk+PeXut5nLfWVNZqSSpW0oVzeW6sCgICZ1/sQJ23jG3estJhKJBDeoXR/c0fYP0EmvjTarI+dRB1KJr2mX/+jmHzzJBMBeaJoREbHr53A0govC+GqWly+h9BZgMEC1jaAxTbfOdkOKMcRcJ3Nup/ps8D02WD6bGDvBrgugIMXdZwIds4Ee0fMbgaB42TBdbbgulrYzyRMn0V0mj3jf7n+7yoS/nMfGsu0nPNvqMtsZPpMYO8CuM7AzhHYOeJpFrGbgdo7olwHwOIAOhPQmYi1DWZjhzA5gGYDLJmAbAXIVhiZjpHpKIkGyBSMTqdw2AwHOwqHgzDogEIDllSMTiewWBY2TALLyoJJtWBQiHQikUmmsikznG2WLJpz3HtNbtix+oxr7fkRPVXuI0MUCMHo71M7K7+sTN9VkemtzthSlr5ZnrpJmry+ON1dmrapINUjN9XjduxK3xPOq71IfiecRAmr1Cke2hRPdYqnSuilytxVlr5fxvOpEO9/IttdmblRk+xZnXqsTBiQHOUdFb7+Ds/jVMjH89wJjl8Dl1Xg+OVldwS7byfsjb3po8yKbCoRDjzIapbFtcjjOkqTGgtiMmMOXw/ampl0pkOVMfaozFSrhLVyWJEJ7yXA0u/H5BFQGQPLhbAxDzbkwAdCWBo3UnjVoAjV3b9aXnj4wKmFzsstyB8j1I8tmB9ihFmA+gFgfUZlLGO7bp759anl3pFePGWM8rG0z9De9WtbS1tDR2/bk+7mmufNjfquxv7elv6BQfz4+PvwsL6zr+OJvrtl8Neu3u62vp52ODowrOtobaxMTIm8HnteJuOp7wvL7v2QmpV46kbAkZAzyeLEhjpFx8/3uxo1Az/XNFcpy0py5UpJe2fryOhIR7++oaOnXWfoGoRDEBrGYJ9xuGvEUKPryGx4EKLIT66rUesHKkbGivUvNS9HcOH7CIT9QzqDoau/+0nDw7JKlbS98v7I4yoAphLA1CnjazMnLUqYOklw9z9CJoX0bizH4fwjMs1wWjLMwlrc7sDaBmGygQ0XsOwB2wGZNgNwnfHDLTJ9FuIwG3GYDezdzDUhLl4HcsLsZmB2MzCuE4HjZMF1RTnOqL0r5jATmz4Lmz7rVKgNLhJqaJq6ZIuDmUw7F2DvhNo7o/bO6HQXzMEJc3BCOPaAaQvoTMBgoUz2JDLpOJkoycpMJomMUGkEFoM8zcbCxgbQrQCFhlBpCIOOMZkEFgNj0gnWVAKdQqRRLBgUeyd7++k2GAXQbVCPVfMLbm1/8dwNf8l48dypPP1bxR0vrXCnSrhNJtgoS9kgS9kgTV4vS9skS3eXi7cVZnjejFiycQ993U7alZAPFRlba7J2VaZsVwu2adK8NZm75Mm7VcKDqrSdVdnbavI9pQkb7t5wl/GP37y6+bsD720/PNvr1NwvdtrMXU90XA52n1jIF+yT5QWW5YW1388aqVWY6kp0mrTu+4KRSnFzUdytK96XzmwoEwUP10mGH8rg0wr4swo+yDKVxkBlFNTEw/Ik+CAF1orgIxGsSoMaHlREjdyLaC0+n3pr0zIPG9ZiQP4Ywd4H5LmA9lfA+siCvIBIW8ZZeWxlsjxWVi2q69S09NT2GzqHh/pwOwH9y+6m3uaW/vauFzr90OD4tW4YvugY7muCLzqgobuz/XF9Y4W+t6n+J7VElnY86JD7wQ1B4YfviiO091NlJZmpWbzjV898d2bvpZhzBUX8Kq2k5ZG6+afyAplYkJeurnugG3qp+32kVT/YbRjtGoSDEA6P+4z0w9FW42DFr93Kvr66UVPzuE07HgYIDUaDrv+Zobdl4FmD7udHuvoHY48fAGSqxauFtlPNB9RXc2F/4HXw/5ZMyrtvmxMdFPPb42QiJLJ5qwKFBig0M5z/iEyU4zx+7ZyJk4k4zMZbKYidC2LnMlEHQjmOGNfFgusKpjkCjhNi54LYu+KV3tlLHTXjyVNxn7Tkb1xg54I4OGMOLoTprhaOMy0cXSwmk2ltg7FsURYXYXIAnW0mk0RDSVYoiYYQqfi/BaVREQYN0K0AjYbgPSG6FWDQzYGrEel0MovJme7g+BcnWzsW1wncjAL43+T3oanPH2zWKaKass/lRW9V3PGS87fKBO6KNA9VukdZqrs0eX02b7Ukw0Mi8gwP+3TNbpr3sRmxt76UpW9Vp2xVJ3loBDvq8g7V5hyU83ZUZ/lXi/fVFeyqyfOKDlx04DvXI36f7D0w/6ONDOfV2NwtVLeNZIcvgO3HYMF6dmDoJllOcJXsdqtKPPiwtF+br68QD1fnmqrz2iQJqWG+IefdxUnHW5U/9GvzxmrlsF4GK4SDJeHDpWGwIgZWJsJKPrx3G95LgKpEeO82lEYMyq/Vio9fv7hk/iqC8xeo80q6/VLaovUu3x1Y5nN6/cZDXy3c89nxmONNnZV9Ay3Gsd+gyQCNegiHoLEfGvuGDc+6+5q7dK2Dgz3DBt1gf5+hvbWt/kFtpaSqXNzyuLS9WSNXiQTZsWJJYnp2zN3smEs3jnof23wl7HBhXlzDg7zaSkVT3X1hZtLu8/uOXPUT5sRVVP7Y1lxT/7hKUVFWqC2t/KWx6/fh7jFTlxH2QzhsXvIFR3AbS5OpD8JOE9Tq9fVjY3gJamy8IzoEoQmaTL8PQEO36XnzSEv9WFMdbKwEgECYvBJv8iUQEC0AAQNT0P9WMt/VNXlbr4d/4T8gkzoOJ30CTs5kMnG5LGJvJhN1mI06zELtZuK9Srwvgkybgf9mgp0r4DjhHU7UYeZ4jXcmcJrld4mNW+/hfH7tOQ0nk+g06xWZLA7+6oDZcFAWF2WyAYOFk4kQqQiRihKpyFQKIJIAiQwoJGBJApYUYElFaQxAtzIHjQZoeP+WAWhMQKGxHZwWLXaNS7AcGjJjmfQDWPHFtEsHN9SkBekUMQ1ZgdpkP9md7VKeR7HAQ5nmqc7wVAg3ixJWZadsyE13vx7xyXfHZ1wK+yhZsEZ0Z600YUO5YHtV2p6WohN1mb5qvteT7ENP8n3rC3zqCn0iAxd/vYow73Ns3tckl5UEh9UWbpsZ87dyP9k8Y8kGe68DHwt4/p0PRcONZYaHyoEHZfX5P3Qq0+HPJbC5DDbI+5T8srRzebzjWnFYh1I48qgI/iyDj3Phg0STJhJqI6AmCmqiYfH3UBIBJZEw71ob/0Rtkp8sbmfg8YWL1pLclhPeW2e72GPmqfObCrNCqjWpZarUdFli2YOiIUP30It+00sDfNFv7Hs21tcCB7qhvh3qW40DrWOD7XCwc+zXdl3L47aHZUrJD4KUS4mCgALJ98WKpJu8cweCd/gH77oSczQ542p4zHG/gO3hkSdyRdGKgh9y8/hlcrE454eQ2POnI45eF4QU3BM3/lLX0NZc9+xpQ29H2++GvnEB7QiEJgiHx9UIk1e+NwwNdU8yInn91wgc6ofPnxqf1sPmGtNjLT4FhgICCjAEYCi+IQ83yDKvgseQf5nM15csTP6S/xyZb+uBEEvya2TicL4rZyJ01mtkMu3G4XQyO7vbuQJ7twkyMftZCNecNnEyzV3N8eYkNt2N4Dgbc5qNOc3GdUWYk5ul26xToTZ4ZQhC0NKOHb3AYs1xsnBwItg7olwHhG0HbGwxGw6BzUVZtiiTjdBZgEIHZBpCpCJTKchUCiCMv8qM65wQKg2lMYBZ2EQbP67TcQXi1+stRWIy/idCCH5IJsx+j2JBI4EpgGtH8t60qCDyWL+c11cSU5N1WpLoJY7dlJfgrhB4ajO8FGkeklT3TOGGa5GLjgfNvs1fkZvpIeatVadub5Mcbc4/VpdzWCvcWZ7mVSveWSveXZm5qzrvID9q7dcbibOXAtZHwGUlYYXvnL9fXHElakdiwn5etC/v1kFNYTh8qoC6Rtj9FNY/0KTF1ObFw8cS2FsNXzyG7cqhh8IOVVxzSWyTLKH3fprpYSZ8lAGrEuGDGFN5hEkdBtXhUBkD5VFQ9r0xO6Q6al9e8ObUqxuvnV6ybqvtvK9JH22w/dvf592K3lctj+97Wmb4ta5f/9igbx170Tui6x9+3tPV8KizVt1W9eNgQ3nnw9KWannHz/d17VWDz2vHnjeYOup762SK/O+jY31Co7xTRQHp4qAjIZ7L9yz8eu/iI1c800XB4qwbd+6cvysMl+f/UCZJz85KTE+LFYlibwuuHbnqe/C6351CQdXT2ub+vha9rumFvt04PDH8pR/vW3YaR4bGndrx/fDNhgHdu7GE8OUANPTB/g7Y3mB4VNatyQEIRgAYCqaYd4vgMcGnGc7/CTLfSJKTNXp44EXdV2SSyBNkTlSAEDoLobPMSlprG2BtizDtAMsesRknk+sM7FyB3SzE3g2xd8NVOxMHWnPatHMh2LkSuDMJDm74cCY+Pz3hNmLhMofgPJvg6GY95y8Xw6yf90zBURkaRvjplqu+ZZOd7NFp9gibg7A56DQuNkGmpRUgUcFUiplMjISQyAiFCizJCJWC0ekYnY7RmWZhkyUVUCjA0urfF1MvBBNbfjG/CgwNISlplu8t4GBUBiCSAIWEUYhgKmDaEL5Y6JoefLhXxhtQJ1amny5O8pEmeEtubSlL3qbO2C5JdRfyV16/+VHIzQV84UpxxkYxb3VNzh6D5lJb8dkq8SGtaE9Zqocmw722YFdZqvfd+C3XQz7fuJM5ezmw/wSs2+sSGu2ZmHQoNyOwWhrTWJJQmHxOlnq5sYQ3UquA7Y9hnVaTGqlJuzpQkQprc2BV5oDydpcyqk0Z3SyPbpLdbpUn9ZYm9smjdfIbhvthQ/dvDJYGDZVcgoowKI+AxeGw8FoL/1hZ9K7i+F15cTtuBn919MSi42c+v3bdQ5F1vlnD1/+igi+fwtFOONRp/LXD1NcJn7cPNDzQ1crbtJnVBUlqcaxMHKWSJ9ZVitp+KtA3K+DzCn1DvqY4TCg8xE/xKSgKzM4PPH3D093/s78dWHIqZJtYHFyrSanXimq1uZ0N2rHuZn1zdZ1GWqXKkUkSg2KOnYo+LpRnVP3S0Kz/rfXlYMeIsRtCPYR6CNtMpqaRkWbjSOvvL3tHh8cgNELTMDSNQdj3crTf8Jvh5W/jDkFG42A/xO+9YxC+HISGPtjZaHhU1lSaXlkQ9YpMBEWwyevzpiBg6hSEREBI/3oF6D9N5j+HJUajvpvMSRUglGrGEmXgM5x42rRFmHaAaYfYOKDscTK5LsBuFh4I1xW1mwm4LsDOdUKCh9q7onYzLezGRbBOcwjOcwjjWGIuc4l/mWvhMofg6IZNn4XauyJ2Tt/uY0vkpIlsBiFQqC1OXaYuXcd8J5mAQAYEIsBIKJGMUagolYLRaRbWTAtrJoHGtLBmurxH27KDlCQgPO9CJr5nSyt66iKFM9MaUBgYjU1j25NZtoBIZrC4dGsmgTwFI4FF/+4c4uep5l1+knOtLjuoWnS2OH6XNH6LjL/5buKqxPglkbEf8wRf8pNx5+hkAAAgAElEQVSXpwpWiJJWVOXs1KnONhefKM85qBHvyxOslaetlqVtSIxYFXh+qd/pD3Ydd/p0C1jhRQ2LWFOWF1heEF6Z931dQUxrcVJDUWxFVnhdQVzvPTF8+gjWqZ/kxVVnXmuSRTQXhdWlB2oFJ+W8QwV3DirTA9rkCYNVYuNDkV51u6v4andpSP+9kL7i8105J/SF54cKLupEZ3SigL6sc23is8355+oLA7Qiv1z+PrHAJzflULMycqghZ+TZfX1vNXzZDg1tUN8Oe5/C549h+4OBR7ltKl6z7PaTkjitNLxMdk2tDNfci6jWRLc+4rc+SKxRR5TfC5IVn8krOitIPxoevzfqjm/ozX3hsQdvJx4ryL5afi+l/kFBX8sjOPQb1LXpHmubKqQahSA542qsKCxbXVDR3NDUr+8eM+FTJgMQdo6NNRoM9QP6lgFD9+/DeA14oF/X39cHRyE0QjgyYOrvggNd0NA19Lyx72ndQEfzSE8nHHgJR0bg7wPw56rGknSV+Ptc3hmAEiwQwhR0CopOQdE31kBjKEoioOR/vWvyf0fmP86Wf0omQqWjNAZOJsqweYNMYM0F5rTpiPdO8JlMwJ2Jk4lxXHEyEXsznKi9K2Y/i2jvBuxccTgxp9mTcybxL3OJznMsnGZj02dhDjNxExOU4+j8v+xPBVkVyYmTEYUQtLZNkRRPvRBC8thBXrKCvGQZccmyqUu/mLrkC4ulyy2WriAu/doiMMTicij5bpZF2T3CG1/e8gsae2fqVxspKIMFaAyEzsKsOYBmA8g0lMqksrkUOodAoVtYklg2VhgBsNgWu9wXa5OD6rOvthTeKE85XJzgVZC4iRf9eVTUx5FxizMzVvP5nyfzvswWrKrK2dkiO1yTf0gt9s1N9hQnr5akf3UlcPbufc5nA5acvfLZ2avzTwXPPh88X8T3blREGutyYf2Pfcq0Nllia3FSszShS5k6XC6Bz5/ApgqdUthSFFmVE9heHNkr+75BdFGSsFcQsU3CP9apTOwvzzA9yhrS8tploe3FQXpVqEEZpJOe68052Zt1sjZuT23s7s70010FgS2SwPrCM2XJ+wr4++7e2c2L2VYnCTE25vQ3y6qqcusfSroaVfDXJ8ZfKgYbFKafZc2lCfWS8IaC0MbicGXBubvpB1MzDyZn+CZn+BbkH5dknVbKzleoAkU5+wPC1nqfXOJ/cTVfeJjPP83jnYyM3s9LPlt1P63tcVn30xp9R/PwL7VtlfJKebq25AeFgie9l6qqUzd2P+v63YiPgOkh7DfBTuNo68uh1pdD/UOjZuO834ef/FRX/7B6uKcPDgz3Nta2PFQ90f5YoxRXykUtlQp9c53+6eOxnj6o74e/62Hn43ZlZkHy5fiIPQCdgmEYAUMxAJCJpbNUIoKiACPijFkAMhFX2yAkIsAw3DwaECYtL5m8amHKlLeLQOZ9fhP+7q9XWc1Ykt49nPk2nO+oAL1OprlrQmWYD7TWNiiTjTLZE/dM/DSLt0bMfHKcANfZXHc1XzLHY/wiCuzd8EAcZoPps4HjHDwwx7mY41yC42zC9FkEO2eU44hMmwE4ToBlj7LsESaHxJ22fptVXBJJU/EmZv9ktP6CZucTfPwpcxZQAZ0KGCTAICFMKrCmAGsaYJj1T7gECqOxMSqTTGVSqSwq2YpsSWJPI850pR757nNZ3Jl2aVSN+FzhHW9+9Mrom4tjYxbdTVstFq0T8penJiyrK9zdIveTpXlKs7xEGesEaV/Gpy/ZFTiTuRTM38T0OT3vbMh8UfraglTPwvjdvYUxsKIA1pbA2qKR6sx2SVxbUWx3SWKvQmB8kGd8IG6VRrTKQp4UnmvMv9wlieiTfN9bFNFeENZaFDmoTYOPiowPxPp7/N7i6G7ZjT7Z5b7ic32yMw0p++ThG9WRHjW3djYIfGtSDhbEeCZHbEy8sUHC3ysX+kl4ftU5wYO1mYNPJS31WRXlKRXqxPKS7+sVUR33Ezs08Q2loTUl57Qiv/K8wyrJYXnJ4dyS/fycHdEZHrEiz/iMLbKS4wpJgIC/b9exxet85vmeX8VPOa28d7usKFrMD1aKE548+PFJfXlbZ2O3vrPtcWVLbWn1vQy1NLGiVNBQLev8pW5Q3zP8+8jIyDA0jY2ZRoeNwyOjI8NjxkHj8NiQQdf7DL4cGOvrrFYr1JLcJ+rSzocVA3WlnfdzysWxkqRAVWpYm0o01KgebqmCTxvh8zb4vBU2PWhXZ8rTgwW3fAGYMr6gFiAYABgAFAxxnsZwnsawIKIAABqDga9CMFdrMQwlEglk8sSmsDfT4x9ny7fJHFeo/2My/0Ft9k/JxLF8m8yJpgjgOJmD64ynSgSX1OLhMHOCSRxLM5njcOJkYtPdMIeZGNcJmTYDsB3ANMcJMoG1LcJko0w2xmJjLPa/LWSu+hv9Ygj5whVi6l1MUYoqStHSUlRRiirKUEXZFIUSCwwhBoYQv91J+WK1JYFmvnBidCZGp6M0nEwLhEkB1mRgTQF0Kh44mQS6LUZlEqlMKt2GSmVYWJIoDIw5DSXQwKKFnGvH3TXCs9qMY6K4zbejvrxz68s7CcuE/JUFGRskaeuVGe4qsadEtEUu2clPXx2dsjQ8ZYnnORfCx8B2KfD0mxUeuyxTuEEh2pUXs7OKd95QLIBNKvhziV7Dby4Ir8sKqc+6VpcZ3pQT01oY8yQvqFV6qaMkuF0SPCCPGiiO7sq/2l5wdUB5Gz6WwPofTZVZ+nt8w70EU0UifJhg0tzoLwl4IvSRh2+sjN3eJTranXOmKsVHcHVddNCK8MAVmXHemXE7RVHeFaLz7ffim+4n1mqTZLJwfrJfSNj66IhNhSn7KwoCKqVnqmSnq3IOaQsOlhX5SEr2Zcv3Jku9eRIvYekeYdFupTpApbh0N/3wgfNfbvH/2D9wg0AYIMwM5t85dyviuDwrXvdz5aCuTW/o1hl6ulpqGx+VaUtTFUXxSmlCuTLjSW1ZX0dT7/NOg0439EI/9EI/MjRoMr4cMQ4aXv5m6u/tffoY9nTAno6uh9p6uaRJKe0tV+oeSLvUOQ2FPJXwhio1rF72Q9cDia621FhfPfhI26n5sUmeWSPhFaeH3IndD8AUDB1fpIcAQACARcIWuznt/nrZmoUfzZzu4DzdgUij4SIEfJ+CeaPB+JKF106qOK5Eiz8KXJH3Bn5viAr+eTJfO82SKW+TaT7Q/gGZuBDvDTKBnQvqMGtyvNIhjGP5iszps4HjHHT6HGz6HMx+FsZ1MWNpYw9sZkwmE1jbTJCJMtmYNZvAYKGWdIREBgQifqwABCIgEPEiEN6xxOh0jGqFURkYlfGKTDoZpZMAnYiwSMCajFiTEWsyoJMBnYwwaBidhllzUBoDo1oRGUwqg02k0QlUogUdRSyBBQ0s+JB7ZOfnt69sLeT5KDJ8sgXbCtK3pvPW5aW5S1I35vJXSUQbCvM8RDmbrgmWbQ+cseQg5f0dmOM68PXfZ5wO/TSRtzEvZVtV/jFp/P7cMN8nqTfgTzJYm9tUeENy62BetI+Wf7ohM6Q5J7wl79qT7HONeSfqxcfrRad7JaFd+SG1Kcfq007qSr6HdVnwUb6pIl1fmqBXxJo0t+HDBJMmvFd6tjP7WJPQt13k35d3urfobEvOiYL4bbGhX/n5vHf80IJd37kd3P1B8nUvRcppifBMQWYgT+AbcOVLn2OzLlz+IDVxrTxztzrvYLnkcGOxf63cX6s4KFPuE9/bdbt4S1jhpkipR2j6psxi/4ryG1X3I+L5vn6Ba3edXHkiyPO7IxsOHPc4fdpbGB9afb+o6efK9t5m/cseQ29bW6NWrUjLy4q4mxKUmhwiK0xqfFjS3ljT397Y3dLQ/vOj3mdNhr5nw/1dJkMffNEPO1phXyf8tQv+XKtTy9uKc3vvSfu0RZ3KzPqCJG1GVGVWbIs8vf+hbPgn9fBP2i6trLowVZ2VoM6Ll4quxd/yB6/59ACAAsAio0tnO13f4x19cL/P+nWf/Pv7TJYNRiKZNwuRSK9WdOE+XRPG0OPvTp63fM2vYGIg8y3M/iGZbzdRxtW2FFwD9A4yaczJZGIs27fJxONtMrHpbubuiONcdPqcV1KEt8mcPt4LtZuJcpwB2wGw7ADLDtjMQGwcXpHJYCHWNhiLTbCxJTBt30kmghGRqSS8cYJQaSjNCqNaoZY01JKBUZkYlYEnT5RGRWgkhEZErF8FYJAAnYxnTsyaDWgMQCVjdLqFtY2FtY2FNZ3IorEdbIh0AiADMhN89JFt0LE1yrSTDZLgMpGvLGOPImuPJH2riL86O31tevba6PQvfWM/XORHn7EVuHpiS3w5flcW3oxbK0rzUmYcbJRckicevhu6r+zW2S5pbENmUOEtn/jza+8EbihL9OuURA6qeAP34jskl+oyD8pubSuL825IO1aZ5JsduqHghrs2cX99WkBrTlhvUZROGtVbFNEvDRsoudorOd+Sdbg770SH+Gi7yL8x1bchY39dll8xb+etqyu3bLH/+hv6kq8o27c4RZ1bmxfrW5B0OC/lZDJv9/Ww5dfDFiQnLS3MWC/N8FRk7aksONwsP9qgPFahPlxW7ifS7LtWsNE3+TNv3id7Y5cGJm0SZh+VSC8npvgdCXbffmSF56Gvvj20PvTG4ezk8GJxUq44SZjzg7yipOPXFjgyMNjTVFspycuOEiSd5yWczU27USEXtD1UdNXdr9NIVSWZ5crc6nJp62ONqb8F6rtgTwt83gJb6mFDJXyoNNyXDpf/OFRZ0qHIqslPqivkd6hzh+vKxh5rR+rvD9Xd73sgry1OL8uKk6RHCPmXw2/6A7xyg00lEogkAgKIKLCnExf/xf6s+7p4v/1Xdu765j8+YbNtCWQyIBDeSebEXqCJRPpH2teJOcx33hv/pAL0f08mxrLFxTfvzpnjc9KIncsEmTiWeKDT50xGEafxtbB3Q7iugO0IWPaA+YpMzMbBrPixtpkgE7NmY9Y2GJ2JUKiASML/CyymElECCZlKAkTS+PQpDbWkIRQqasnAJ1ExKm6uS0WoFIRKwRjk8SCOp00qoFshdBag0QCNBOhUlMHCrNkWLFsq2xalWREYVoBCAESAUYHrbJrfd8uKEwJaiyM61N/XFAXkJm8XJqzh876K5C05G//h367Omr2X7LqD/Okhe8/zbgeD3guNXCZO3VVXeLlDEVmRcSk3+jA/ZHd84NYg/y+vn/xKfNM7M3KHmne0u/h7o/YHoyaxtySkOt2nONZDFrNVk7gz9/ra6OMf3T69OPnCV8nn14hDtqnjDjVlXOzMDurIDmwTn21MP1oj8KkT7C2P366J26JN3KZO2iZJ2Ho3ZmPs9ZW797pu8XI4fuyj5JtbZQm+FWlnGgtv1BVd0xScz0vbmZuxsThnk0S0oSB5s0rk01B09knR8WqJv1zqmy33iZd5+wu/+ubmvGU33lsXusDj8uLTEZviBX78tOORd/wuROw5etnrVIhvcX6ivk7dUaVQSNOFYr5MJentbYFjI/Blb0eTVqNMVUrjtbL4StntCml8rTytVpmhkfAlWTF5mTHizGhtafrgs5rBp5UDj7Xd5dIn0vQ+VR58rIWP78MG1UitquN+Qb08q1kr1TdoB39+0FetbNNIDD/d19eWNapyyrLjM1Ov8fiXE/mXzNsTMBKJaEllMih08hRnFnXZHBe/1V9d2eF11N19+YIFTGsWNpUIpmDY1HckybfJfCNnTg7zcMnrtdbJ4P0zR1k8xodUKBNrwv6ITBzLt8kcV945jXcvXfAbJuowC5k+C51uvkAiTnOB41/B9LnAcc7bZAJ7N7wXCjgugO0IxrsyyDQnfFqFwLZHWVycTJRpQ7CxRRksjM5EaQxApgACET+zWEwlYFPJKGE8Z45vOgNkCka2wpeFIpPmUREqHaPTMDoNY+CIUgCdCqh0QGUASzqgU4E1GWFSAYMO6PhzYGHWbDKbS2bZWljTiXQyIAJbDmnNkvczIw43FkQ1FodrxCcKU3cm3lkddOvT47fmr7nswtmMOG6xWnNstm/w+38/7XQ2cMHdO95tpVGD1cLu+3xpyvnjB79c8gV70X9QTvkurM+53JBzuSE7uKsk1nCP36+Iayu4pBHsUt3xlERtKohYz7/4WfSJ93nnFwouLOUFfM4/9VVesIcmZm9tkl+t4HCNYH9l0h5t4g51rKc2bpvylocqwaMsaUuZcIdStDdbsD3kyqcnTn/Ii91cUxTQWHipT/49fJim1yQ13YtS5hyWZXlJs9zzUjfJ07yfFJ7tlF9tKgxQifbzeR5BCWsOxC5bHfLBvNMu759x+eTM3EUH3bwClkXG+0okV4sV32fmXY2MO34h/JA0J6698seWcmmNuqi6oqSxoWKkvxPq+8Z0nW2NWq06s/5BVldDQXNFmrowUpYRps6LKZfcVhclyPNjC8VRGoVA16zsri9p0GQqs2Ol/GtN0hT4swY2aY11pbpHqiatrE4ja3qkaW2oevJQXXv/x3qVFLbXmtoe9daWVpemq6R8damw5kEuwFnC1+wxWTQ2g+rIoq789zlHvlkVsMXDY8nS911cGTQ6NpWIp1aUYL5nvrHP79VRdtxG5A0g8YLNZDLx5gdO5is17L9CJkYh4/PTb5OJKw1Qhg1mzf4jMvHaLMHOGXOY+Sqmz5q4UqLT56DT5wDHv47HnAk4X7t82rsh3FnoNBfExhGw7AHLHmXPIHBcsGmORI4TkTODwLZHmGycTIzFRuhMlMZALWkIvuZwCoZhUyymEghECjaVjBJfafQRChUdnxE3Px8KFaFYoZYMlGpDoDEJNKaZTzoNpTEAlQUs2YBCBzS8OEQG1jRAZwAqA7FkWLDsEDobkGmAQicybCg0KyKRQJyCzp1tG+CzqSD+bE1BaEVBwN1Ur+jk9aHCVe4hbq6etHk7HD1OfnD0yvtHzztHhS2VCQ+2KeMGqjOa7t2+He2zepMbZy6YMRf4+yyszwvtLo3tksd1l9zuKk5oyQurzzyn5O2RRK/jBX52K+Dj2+cWCC4vTA9enBz4qejy8tSAFdmX1xbf2KqN2aW9tVMds0Mds10Vt00bt/2J0KdWuLNc4KlK3lqZs6+++KQye39s7KpLwZ/G31qvFB+tyznXXxoNH2UMVwhb7kWr805IRTsLM7YWpm2tKzw2oL4xqPq+MedsXpJ3YNDnnqfeW3bcde4he5cDdrNPuCw+9d77O53WHPjobIhnZvZlhTK6UBp5Lfbo6av78jIjWyry27TSzlqloa1e3/Z4pLttsLN9sLO1oVqZV8grlMRX3RdUKBOk2VcL04LU+ZG1Cl6Nkq+RJSiKYpUlSVWa9KbKLFVRnDw9olwU3VWaaXqkGKiUdWnyG7WltRXKxvqazs629mctdQ3VDY/K2xuqYX8rfNEOn9d11MpqteLaipzGn0rAxAWSQrMiUCwcOCxHltUSN+fdy5YcXLt2yV/fc7WzZ9IZZBKZQCThq77Ma3BfL/xMkDn545PT6fgaTDOZGI2Kxz9J5hs59j9PJst+MpkEO2cLexfcNhZzmEmYPgubPgvYvYITOL5FpuMcnMxX1drXyURsHLBpjhZcVwLHicx1JnMdLaY5oCzbCTInNvMCIgknk0DALKYSiFMpBCLlXWSaDwi40wpCsUIpLJRqS6CyCTQWgcbEa0UolQks2YDCQSwZCJUC6ATAIAAGGbFmoQwbjMbCmFxgycSsOfRpjkQ6h0plMalMKoHi9hfuJwvd3L9ZEHZusyztqDzvcGr2rsCkVXujFszfY7dox0yPw+9fi1mSm7GuVubfUhzypCSmrjgqOcF/98Eli1Y7uH1Cmr0Q27tnnpx3sq04urMkvk1yuyknpjo9tCY9oELoxw9eEuI3+9KBmbEB80TXP0m9svDWqXnJ5z9NPvlp9sWVZZFbahL31STuU8dsV9zcXBblUZnoXcvfXSnwqs7YqUzxLEhyl6Z6ZfK3xcatDL+5nJfoLk3zKRedaC+6NlYuMFWld2pvV0rOy7N9CjM8palezbIzpgfRUBNdnnKIH7bR98gHK/c6LvSxn+PLnXvEefHF978IWLDg724b/T89f3V7dnaQTB6Zmh3sH7TtuxMb7mZcG2gsMzZXmNrroO7ZyLOmkfanpt7usb7O+oeqxNSIsPgAQerl7OzQ3KxgZU5YZXFs7T1euTxemh8hzrqRLgrlpQTKi6LSBRflaTfaFenGBz8ayqVtJaIWeVaFuqT2kVbX14U3O3V6Xeez1v7nLbC/Bb7shP1NHfVyVYkgM+v7ZFEkPgVGINJotlyuvZ0918aWY23jxp2x7N8XbPniq+UfLeJwuBYUCn7DnLyYaDKW71jmNank84arCEZ5xx3ybQLNcoJxgCczjFgSEUsioFgACgFQLADFwmwOhH8f3BbIbN7FAHQmYLEBiw1sbIENF9hMmjXhOuINzAmLA+AwE514294VTPoU7uuFv4ErDQjOczCn2bgTn9lPyMYJt6IlcFwwrgvZwZlo50JgzwDWXEBno0w2gcnGrG0IDBZGp6M0K8Ss/iUAfJkv6bXRNnOQaBiJghLJr7T7Zj2tlfmbUGn4u/jbZjMHXA5FpQMaA6EzAY0BqHRAZQEaE6EzEQadQKcRqWSaJYVuSZ7paLd04YcfzHGa829cf+/Voqhj2XF+ols+t6O8LoSs3OLnss6HfSFkoSRtV03B2fqioKaiCFXGuegbm/1OzN+yb8YSd/KSjSyvvfOlqefa1CmGqh+77+XX5/9QKf5ek32pIHl/VOiXfv6zj554LzRkSWjwZzeDlwqvrkoNXiUOWi++vFEa7lV+52AFz08r2K8V7NUk767K9NOm+WpS96qFewoTtyZHrEyOWJkbvyH7ziZR/PrCZC91pm9t/km9JgrW/jB0P65FGqQSHcpO2lqc4lkl2tmR7z8gPdcq8k+9s/n0lUVL97BdNlu4bKE5b2Y6e3DmfOe83O8z/ys7roTuL0gJL0y9kXonIJV/Xsg7dyvujEgY2lKZp2/StNWWdj6+P9BZP9bfZuhtNw70dXY8VT9QFRbnapRFLRXyOnlW673cdnV+m6ag7n5Wgew2vyDsbPwhv4gdxyN3hd/yu3nDtz7/9qCmoFOV36DKV0jTK6q1bT3tvaPD7XC0A451m0b6h34bNuiMPc9gT4fxl7oKWWo6P0goCIhK2G/en2lBoTCYLDbbls1iz2Bz5zo4fzrngxULFs2f8x6TZfNm6fUP4PwvIRN53cPy7Rvpv0YmLv0xY2mLsO0mJqcxrss/IPMPApk+C3V0wxXt6LhHJuC6ALYTsJmB2DjicOJkWnCdMRsHwOBMJnO8LflnZE6GEyNRMBIFJVNeXUHHaRz34Hv17p+SOW4CSrdCaVQLKpVCpdCpVEcud+HcuTNdHGgMwgwn2tfL3EJPuFdkBckzAq6ErNvwdyd33xnXbiyTpe+rzg+oKwzWpAZI+UdvR3peurLsSMCH231d/37ow7DrW2okMYO1RfBpJWx8MFgpbZUnVeVfyubvjrq6NOjyxyEhnwRc/ujAkVnnT33IC/0qOXjV3YtrskM2a+J8GtJO1qWeqEw5XJ3mV51xqDztkDJ5jzJ5lzZtn1K4q/COR17CRinPQ5LikZvkLk31Umf61uQd61JeHdBEdUhDytP85cm783iesuStZXyPquQdT9L3a+94345bf+TywsU7mQ4bMIdNFOdNdBcPzgc73U7f3KMoTqxTiJ6UiJSZ0ZKMG7LMcHFySGL8maAQn2s3/KJjzgoEYZp7uV0tNUO6lqG+Ljg6BEdHBvv7ep816dseDz6tadZK2zQFXVpJe4WkQZsjlSclSyOP39r3beD6Ff5Ldp9Zdy10V0VmlE6d262VlMsytKU5jU11vf3dutGRzjFjh8nYOzqsH+wfHOgd7m43dbfrm6s10tRUQfCdxNOhN/cBlEgEBAJKJBItqRRLGpVqxbG2cWHbzeQ4zLR35LA5RDLl1Sz1pCPrfyGZf9K0fJvVPyHT/NkJMmkMXP0zjiUHJ9PsJ/LHZOL+XTiBZi+vd8GJh9mG7x1kOhHtnQjcGSjLHjA4CMMWY9li1jaoNd6ZpCNU2htkvn4/f0UmgUwlkKmTq9AIhQosqa9QtDSziqvekXEyzUJFGsN8fja/WuFjnzSMRiXTrSgMOotpO9vFze0vM9nTbCyoU8hMMH8+98COz5OjD10P3ux3esmBUwtDrnxZwN9Xn3+pWRpWJjiZl3goMXJLaPDygyfe89g9w//EYjH/cKcmAz5WwpZH8Jda+FNZl5pXVRCQy/Pk31p5K/rL65GfHTgzZ5036+8HXCIvLr0dtPLOmeWpl9fLo3dVJx+vFZ6sSTvRmHO2tehcZYa/KtlHLdxXI/arzT+kFe2SJ28pFnjI0z0lKR6ytO2qzH0V4oPN0vPtxUH1WSc1yT7qtL3qjN3lmTs1wm3lgu2VybsLot2Dwpd5n3nvve001jfAYT3ZZSNz3nbXlf6L45MDun6SwV9q4M8PurUFbVpx+4PchtI0qTjiVIDXuh1LN+5ceT70sFIp1j1/bBrsHtH3wjEjhKPQOAyHBuDLftjb2l5V1ngvv10rbdNKtaWpfPGNcNF5r6sen/ovXrj3w5W+i44GbBJEHVOmR5bn8NKTI8vVRbreZ2MjgyYIB80DYqODvw8MG3Rjui5D59Omh8rszPjEhMDYW6dv3jr6ahs8MtUCL/CQSWQamUqeSiIQzB95N4f/b8h801Xk3TdP4jiQb5FJpeAOl4BKBwwm3i8Zx5IzkTP//DQ7Qd1EVsQPt5MRnaB33CDTBbfPw6Y5EzhOBI4TynG0sHNEp9kjTA5gsFFrDk4mwqBjdKY53b1F5uSHNpE5CWQqnjMn4HytTjt+zZ6o5U5OpO8MQKUCGg2lWREYDCKTRWFymJwZTM4Msg7YdDEAACAASURBVDWbaE0nsygUNoHGwRb9h/1G9w9On1lz84ZHZMgGQYSXMuVkbXZomeDknRvbL537MjDw06Nn5nkfmBUUuEqTE9yrFY/UKuDjCvj0EXxc1ns/oUZyUiLckpq0OvzmJ6euvOd90nnDPrbPkdnhIcuTIzYmX16TfHld7g1PRbyvlnesXhTQVnS5qzi0Lvt0lehwVaZfQ/7R+kL/iqxdCuEWKX+DImNrcdrW4vRtivQd6oy9dflHGwtP12b6V6X5VGcdrM3f31Cwv1a8pypjtzp9lzB6w9/Pz1vma+fgjrHWoo4brT7YMuNvR5YE3fKtUPF19SWDjxSDD0tbSjPqFcJmTWb3Q0m1IuX6dT8vn3W7DnvG8661NlbA3/sgHIIjQ3B0xPhy0GgwwJcGOKSHfe1tVaqqYnFNcaamSCjKiAhKOHGef8zz6ubF/ove/272RzvmbDn4+aWLXvyo07zYwCvXz8hLssZe6KDJCCEcMZkGjUbD0KDhhW7oRd/Qr8+6ntZrVAXJaTHxvGu3k4JT08PAhJ4OJxNMwQgEC4upRICgACDmeuykc+zk6s5/D5nvEAyZaXyNTIRi7vKZyaQxcDJR1gSWHIRtB2zsx6+aTn9O5uTz6p+QaU6z9q6InQvGdbHgOltwnXEyMY4DwrYD1rbA2ha15qBMNm4h/0dkmuO1cjcZJZLNz/+tJ/mHj3Ec2jfRpVIQ6ribmSUV0GgIg45Z26DWHIzJRa05gMoCVDqRySBYkwAFgCmAMg2s/Oav1y5uTQzdmRi0LTvqkDY1SJt2MezC+oMH5wde+OTKlU+PnJgXdGFloeBkTcHtdkXGgFYC61Sm6vy2knCN2DeXt+527KeBoX/1PefsecrB65Tz2eDF/FvuuUneeTc9cyO2yWL3qpIOawUnazPOtRYEd0hDGvLO1YpPVmf5V2XuL8/crUzzVAg3K4SbyjK3lGVuUYq3KzN3qDK8yzP3Vop8y1P3aJO9K9P3VIr3VmXtVgi2SHkeucmesTFr1h1znf0thbYKMFdPcf7G6pPtbudveCtKb+uafhxokHdrC/oqJLUlAnlelCwnpro0XVuSIhRci4q7xEuJqCiXGPUdcMwA4UtoGoUQwrExaDTCoWE4ZID6Xn1zXVtlaY1CLMtKiI0P8AvdeTTW59tQ90+PfLb00MIVBxZt8Pk04OL2qPDDFy7vP37x0N1sXv/zljF9n8mgH/i1r6+7q7uzva+nfUjXaXrRM9DT2tpUXVlZWq6VlpVmqUrFAFf/4EoDlGAB0CkIRiAQSfjgiHkD31uH2Hey+l91mv2TnDn+qTfJxH8czT95ZgcABmAwcRuBd5IJ2I7/kMyJ8+pkGt/AEuBY2rsidi4EO2einYsF1xmb5gjYDgibA1i4aJaDMtmAgW/7tEJpjD8j8004x5/zH/SH33i2BEvKZDJfS6eWr/IqXknCdfCAwUKYHALLjsx2IDBtgSUVkAmAjGEEAAiAxsEWLnL03vxxiP/G7MjDlWlX68TXBOE7r19cGX51xdnzH373d8cj/guFUfs0GWG1eQlNRYJuuai9OLEy86xCuCObtzo26uPrkfNPX//rrkAXr/OuJ4IXRkWt5sdsyry5tTBulyblWGXauYqUM9Vp55pygtqLrtVnn6vOPKkR7i8TeBcLtspT3JVpm9WizWWZm9XZW9U521VZ29UiL1XadoXAszhxi+KOhzrFU5Oxo0zoKYxcHnX1s6iYlUHRK5YdcuBsQIgrAH0FYH9hsWTr3MjYwzXatK56yUBj2WC9eqRR21KZpyzmibNiJAU8pUKkupdTXSl70qDRdzdDox4O9hn13SZDPxwdgWMmODoGDQPwxW9wZBAO6mBvy8Dj8kZVTqog2OvkhtVHVnzqu/iDnfPWHFnyXcDavafXJ8afEafdiIoNDI0JTM7i1T+83/v08cjzjrGeLmN353B3x3Dvs7GBbgiHoFEPh3SD+s6+npaW5kcNP1WAiUXueMcSICiuKJiYEXnD4fKNHsl/zz3znyQTHzh+jUzcNe8/e5qduGe+AeTEZ80l3PE1Cmbz6GmOiI0DsOEAFhswbRDmuL0InQFoNIRBmyBzXJc/fpodd5PA4Zwg0/wk3y6GEzAwlfC2kAOjUAmWNAuqFcGShlHMF1RsnEy8kjRR5gV0K8SaBWgMQKFjljZkmg2BTCUQSQwalUwkYCQUTAEIGSz80P6Sz4aCqNPalJCK1FAF/7QsxT+T7xUavMjvyJywK6uV6QF1BdFNksTmQn6rRNCYF12ecVqdsbtYuFF4Z+ntxCVhCYtPRH64K3Dm38+4nb7wUXjostSIzeJoLznvkIp/oizpeLngTGN2cHtRWEPO+SrRCVWyj4K/Q5GyVZW+VZm+SS5cJ8/YqBBtkmVslKVtUmZsVaZ5FvM2yxI3lvE9VKme2swdyvTtiRGfnz73/pHL878L/GDBThZzJaB+BVhfYeylFt94LxTyA6uUqb0/q4efVg/9XN3fUFFXISm7lynO5xdIMsorFS0tdcMvukcMPdCoh3AEGvqGetr7u1tH9L3whR6+MBj7emFfDxwZhCMDUPd/qHvzqKbu/P//fW/uJTc3JCRkQTYlBASG7YB43L5uHQVH0bqNW61a1NaqdWndilUUQcGFRVlkDwUSIgkJhARSVhGEA4IoFJSB4oBQKIgDA9XC4P39cUOI6/TTz3w+v/PhvI4nBxAh+Mhrf746XrTdG7hfWK6OP3Ju+8eHli3Zt2DJvgXLPp934PzWsOgjVcWi9jr1g+q80rLs0sq8lvqKgb81TXT9RDx9QvR0ET93vRroJv7ZR4z/gxjpn/h1YGSkb+BZd+/PXd1dHcDwBibpM8nHpPMk41sAw4BCIXPR92H5nyLzXZVY/LWeJ459gEzApOv8AIsNWGzA5gI2V08mPM2KHJRFLASopf2HyTTMJF/LKg08qo5McolsmjXgWUE8a4hnDXgWgGsGTLkkmQjPEjLlASZLT+ZktYZcl5kicwpOwzul5NNouDNArvhQYBJO/bP978g0gegmejLJpR9gjKNsE9yUi9JZEMrAMRMqQpta0UUoCE4RCnlfbVlxK/jY7bgL5aLgwvgzFRkB9XnnK3OOpsWviQ5bLk/cXasIbNLcaNcmduSLugq+b1NH1Wb5l2fu1aSuU2SsSEhaEp60MCRl0TcRs3Z+a3v0tFt0xApZzPZbkdvl1/coovapog9UpJ5qVYR05Ye1qYMfZPtXiQ9WST6vzd5Tq9hRIl6riF+qzVytyVgtF/koUlaUSDZWZm2vkGyvzNhWmbGtMvPTmmy/6uzdqdE+R/2dN30jWLCfb7sRwf8MOL6QcC3TcRXvq5NrSvJiGyuknU2Vzx89GP1by2hHa1drfWPTXU2ZurCssPbH6v5nnZPaPeMEQRC/Db961jvU9+TFQO/Y4ADxz2FieIh4/gsx1P/q5/bBR9VN5TnNJdKG4u+Tk8+Exh45ee3zQxd3HgvZfT3JXyoNKdcmPqjK7v7b3e72e71Pm0a7WsY7W0dbGwfu1/TXVw801Y10tLx69oQY6Xvx7OnL0V9GR38ZGhkcezH66sVLXTQ7paxF7nAZTak8QwiKvFPKGXnTi35gKO8NON8ouho2LfWtS8OuiWE/E9B1bMMMGmnAGNcnTrraD5MN2BzIVLf/RWp8QHzdjRPd3I+FkJzLI9VGdDMDk+zpwLOyJ9PLt8uzwJrcFBMCcpnTfAZJJuCR/5AZxOHDXDOYawbzdCsmZPkHYrNgJhsYM8iSFYzTAIbopJj0UmkGpifWQEiN1G2CIRgACAAIAAoACAShMDCCgREMYQhMQ6dOORlRISMajNIAQgUoBhnRSFk2CKMgOEo1xjCcDqNUFKUiCAoARC42kH/CgMI0MvH2mhd5+GB64PGoE3vDv/ZLCj5UnhHaVZ5Ym3ehVHZMkbSzMHVvc55/uyaoqyi8LT+iKS/ycf6NWsWZwtTdhWmfytM2S9PWRCctCUmc/13s/ANB7ofOeISFLFXGbpdEbFbH7rkt+lobd6Qw/mizLGigOKa/OLKrMLRRcaI8Y1eVdEeNYlu5dENh+iqNeJVavFotXq3IWKXKWF2StbE0c4MqecWtqOXK+FUVWTsqFLulGZuPnPdc/7Wt52cmws00s1WQ4wa25zqLlZ94psad7nlYONRRM9jW3N/e0vvT4/6fe0aGhwaeD7b3dDV3dbT19z0fe/mWQs8Q8dsoMf6CGO4nhgeI4X5iuI8Y6nve1lhXrmoqUbRoZfXqNHV2dKrkSpr0cq7iRpE2oars+7ryjPoycWut+nlH3avBTmKkj3j2hHj6uKuquFEj7a4oGLxf2ddQ2d9cPdzXNNDTMtjXNjrUOz76nBgdJl6M/C+R+fbxkj9MJmSMT3pdTGcMuv7o0BSZLBJOXdeE9JmAZwFNm6Gb+7G0Ry1tYSt7vXYeZO30JpkGPZI36rGGZAILWx2ZfJ0SF+DygSkPcHiAZ4ZOM0enmaM8M5jzQTLfheV7yURggMAQBCBIBycEA4BAgEJSCgME1v0edd6VCihUQEEBBQUUCkAggEAAhSCMAtNglEaFUAqCUODJ5XnyqwIAEIDAADM35a1cMPuzNUvXe8/+y2I3v80fhZ7aVS651JB/uTbnrCp5X4noQJX4aKMi8IEyqFkT1l4U1aINq1WcKRJ/qUraJk1eL0tbmy5eEZ2+7NzNhfsD3Q596xYavEgSsf7W9c0V6Ydb84KasoOqM75ryrrQq73xvCK2t+Rao+LE7fSdtzO2lkrWF6avLkhdoRGvUmWszE1foUxbmZu+SitZqxatSr++MP7q/PSY5ar0jUrx5qiYlX7+Ln85ZO25w8RtO8vrM4tlXzgt2+n8xZGVhfLIobaqlz1NIz8/Gfq5q//np0NDg2P/Gns5MTE09nJ4fGxofGyMVAUZGyf+9S+ClOj5bZj49R/EPwdf/Nz5oqdjrK+TePaUeNY90Fr/pL6sq6aku6KgsUhWmJMiV8YWFaU11+a13c/vevhDb2Nxb0NJ1/2Svh+rXjx9RPyznxh+Sgx0jDXX9FX9MFBT3H1X21ah7r5f9rL/ETHc+Wq0b+R598jznlcjA8RvQ/9nyDSMb1Fj+ttkwsxJ6Ufd3T4WGc1COnV2XT9TTyZiISQnZmFrB3I+Fp7uPNWiNAho9Sml4TtJMiF9kmk+A5jPmCKTwwMsDuDwIL45ammJWVii08xhDg+8TqZObOWDZOpQ1IOKUnSKahRIL0IxhegkWBAMAQoEKBRAoQAIBjAFgikAggEEk65Q72Yh8otTIIDA0CSWVABQAACAcCM6CuMMOsPrT8K/LPZYucRz7bI5i+a6Lv1/rn7blqaGHaqRXaqRBtRknlFe36eOOyyL/bIy60xbyZVK+UlJ7PbkiPUJ19aoUjdqxBtV0rViqW9kive3oV5HT7sFBsxOuOgjvra+PO1QV2Fod1F4nfi7ypSTLfLg/rKoJwWX6rKOlqbuKsnYUpi2TiNaWZC6QpXuLU/9SJayTJayTC5arkzzEcctun7J7UKgy83ri+NjvMOuf7TvW1fv3eaeW03s19O8dpit/cb9QODKbwLWxsceb69Rjfc0jz9rHx36ZXR4cOif/xieVOuZFJYkJghiYuLVqxcvibEXxPivxIshYrCbeNZD9He/fPrT8N9beh/V9zbXDrU/7H9U1/uwarCh+nlDdU99eeu9kub6kp6/Vb/qe/Sy+/FIx8PRnx68/Onh85ba3sbq522NxLOnxC+tRGfjWPPdiR8riJa7/bU/NJcqWu+qB3+qHe9/TIw8HR/uejnYNTHcQwz3/G+Q+c6DX7+HzLdNTybMoBuSSY6q6c7akn12JgswWToyOTxy2ID0mbrzXtMEiIUAtrInydQtfE26SsMyj748+3pJVkcm9Lo4LeBZkIUfsvKEmFti1ta4pRXCN4NMuaSgs45MGk7mmcAgw3wvmSgMoRTSAAJDMAQgQGpQIJNkTqnFkE6PhBOmkFjCFEQvkggoAEJh2IgC6dRMdaDq2UbIUBaiQBCKUDChlZXP/5u9cqmXz2LPrb4ffeK7auFc95mO5js2L06/fLQoOaApO6JWHKxK/Do9cnduyudVqq81kt2x4Stjr/qIYzdVy/xKM7doJGsUmavTxGsj47wvhMw7F+B5M+gjUegqVeynzTlnugsuN2SerU7171Bd6SoMe6w6XyU+WJK2qzRjW2HaOnXKCo3IR56y9FbSYmnylCXHzAm9ODPwomv49YVnLs46cMZ1mR/PcxNDuAa1XkGxX4P77HO8ELn9ljigofj7l+11xLPOiedPR38dGfvXyxevxvWqk69rwL4ifntBjDwnnv9C9D959XM70d023vnoZUfzQPO9hnJVVaHsSX3ZeFfz8N8eDP+tcai9abirbbTvydizTuKfvcSLQWJ44OXPnUOdbWPdHRPdT150Pn7Z1Ur0PSGePhxtLu+rVo3c1xJtd8d+LOusUrVV5nbXl/Q23h58VDXS9eBlT9Po04eDP9373yNzcgAdN6wA/TEyqQzyE2gfIpNhQpIJ2FzA4U3NzfKtdTo9vBmwOVkBmmlIJiJw0qeXrzvJd+SZpKHTHRBrIWQpAHxrHZlcPsw1Q8wtqZbWmLU1ZmEJcXmAxSarU1Nk4hhEw/QEwkaIIX4AgQ0fkwZTdFgCCKCTcOofQJP5IUmmHk5StkLHIQUABIaNENIgVAc/hFIgeCqaBQDAFASCUJxuMtvV9a9/WbpknputnZmjo2Dvpi071q51/pPQy3PmJt9FX21fKQo+Ui+Oqsy8UCI+lZuyRy7aIk/dkB7vmx63rlCyu1rmV5KxSS1apUj3lUs3S8Qbk26uiry6MOHisujzS24GLVdFfVonOV4n9m+SBQ4Ux/QUR7TmBVVKDheKdhSmbtakrFYkeiuTvRWij+QpSxWij2SipeLEhWmJCxNi5oRddQmNmHMhbM72ozNW77f02Wvh+4Xtwk/4XusZNt6U+RstIqP3PK78fvDhD0RXEzHUOz7UNz4xRhDEK4IY152vJMaJV69IsclX48ToENHfM9LW1H2/sqv+dm/T3Sf3SmsK5RUacbk6IzczVp5+o7ogc/DHu6N/bx7qfDTQ89PgQPfI0C/jo8+JsSHiX6PE2PjE8PCLgV8mBn/RpabPnhK/dBJ9LWOtd3trcrsqswbrVEMN2t57BZ01+Z13ch8Xyx4Uih/fkfc0/DDwY2lHbd7/OJlvY/kfIRNhMvQVIJLM90WzOjInfSbZMtGTCSxsyTxTB6cBmWT4qptZf8ekng5LmNxQsRZCloIpn8kzQ/kWuIU1bmGNWViiPDPA5oDJOwgwkw3o9DfIhDBET6YhiiSfeiZJLMnQFYZ1Br1O5hReMCDjXjBJ5hTzeuF8BNOROfkNUHGMimMwBabScAaDzeGauf3J0WfJ/DlejmaWXLY5d+G8hR/7rJppP9PK2tLF2X62p9PKpfOO7twkiTxSIw+qVZ1WZey8lbIuPX6V+OYqpWiTVrRFnbxOneybm7ZOkbFJKdkmS90kivIWhfpcD1h49eSc+PPe6uhdNenH2xSX+gujuooi2/IvVUuPFiRv1yRvUKX4qlJWFqT7asSr1BkrNeIVuWnLxYkLU+MXJMfPj47xCouafyLI5c+76Es/Y/t96/7tpaVf+c/+5Avhyh22W/a5yzNOjjTlvWy6PdH+kBjsHRvS6aS/IoiXxL/GiVcTOq/5kpj4lRgdJAaeEp2P++rLa/MzS5SiCo24MDsxIeZCQsyF3PQbRbKEIllCiSyhLl/yuLa049G9nl9+6h8ZGP51ePy3X4mJMd1Mwr/+Rbx4QYwOE/98Tgz3E8+6ib4O4u/1E+13R5q0XVXStvK0jorMx+XSB8XSEsmNEkmEVnytVBbeVpE5/OMPHXez/s+Qafj5JJkIE0eYOEmmrgKkOzHA1leADPNMQ58Jm9sAvg0ZzU5dT5juTKKo64VYz9SPAZHvJ5dLJoPbKTIR65nvJBMzt8KmWVL55iiHD7E4EIM1OXrOBnQ6wGgAxwBG/bdkIghF7yonKz4AAgCmQBD8WihrEM9OkkkWe0j3q+/NoOhknZYOYwz9HBiMYagxnc3j8c3N6WwWhGAMFofB4nCn8RwdBbYOVnwrM2tbgbOr5/w58y2mC7gWVu4u7kvnL3B0cJhhY7113dwr/tu0aScqs0+oxX7S+PXim6tvJa6TxW9QJq4tTNugFW9Rpm9RpG+TJK2LvbooNWRZfOCi2HOLkoN9NDE7W+Rn+7SRvQWRLaqQVk1wffaJotRdquT1qpQ1BWmrb2dt0GauLpD4Fkh8c9N8JEmLUuMXiJIXxsbPDY2YcyTAyduP+ZcvzAKuLrseuy4ybOW5s3NDL/omRO1sKYl62aQeqS8ee1Q/0f904p+DxNgIQbycePVyZHxkbGLk1fgI8etz4tdBYqSX6GsjuluInsdEa11nhbqhMOtBaXZ9sbRIHlelTm0tV/TX/jBwr7CjTNFaLGut1D5pudf7rHN4bHji1b90Cs/k28Qr4rcxYnSYeD5A9PcQP3cQ3W0v/1Y98PCHJ1WyplJRQ1FiXUFioexGWlzQ1UsHw0MPhYceEMUeq8mPHnioaL+b9n+DzDc+H2MyURYTZdFJOHUTeWTXRE8mm0PWZg0rQIZ5JmxuS7USkhUgfW32jaxSv+qFCJyoQhfMzpUqdJmEc6Zhnkneh4fNbfRkIjxzbJollW+h3y/RbUvTGVNk0qi/h0wURRCEogti9dBBEFnQeeMNMvSZFEjfj9G1Umjo5DgXBlAcxhgojYXQ6ADFAEIFRhhEZ7D45mwLS6opB8AIzmAxWBwmh2VmyaXzcMyUYS209fKaM2fOAhuhI8fcWmjv7LPUx8XFk2NuTefAM51Yhz7/SJl4qEhyMFf0qTJlm0q0VZGyWZW8sVS8tTRrh0q8TZ62PSlqVaC/e+gJj6unZsWeW5QWskIbt/NJ3oWh0tgudVi97Hxb/qXHmrOVmfs0oo0kmaXS9QXiNep0X3W6rzLVWxy/ODVpoSh54c3EeRfDvE4Gu2//xmbrN/ZXo1dHx6xLiloTe3l5etyuypyAwbqMoVr586r8sUf1xC9PiRfDxG//IF6NTkyMvvjtH+Njzyd+HXg11P1qoGu4s6Gn4fbA/TKirY7oaJhoqRr5sWLsp/qxjprRRxXE3+9NtFWPtVQQbfcmfrw78eNd4u8t4788GRnpGxn/lZiYeC1XHR8jRoaJoX8QQ/1Efy/x8xPiaSvx9GH73exCeXiB9FJ5Tni5KjotLuDbb3cfObXti8Pr/L5a4X9uizz9u4by+Ad3EsAbCpS/1wzELA3JfN/dS8NpgbfHegx3MklDWUyUxXwfroZ7iYDBmLzAMxm7sicPmZADQJMVIHiaBWJurdcxQEkVdmsHyNoJ2LhCAjfY1h22dUeEHpDADUx3AdNdgMANsnUHAjdg5wHZewJ7F0joDGydwKTPJJet6eb2DEsHhqUjMk0IuDMQrg3Gt8GnzaDyzalcM5TDh9lcmMkmJfBIIQJybVo3NkDmma+Vf1CAIORrIkpBAQVBYAQFFBTAiB5GaDKhnHyDp1odMAJgCMAwrFP9AhgN0Bj6qQOIhkNGNIBiEEIaCgCEGGEIjQZgGKHRdFKmCBWhMzA2B+fyUC4X5XLxaWYcS6uli5etXbnW2dUTYjDZFpZCRyez6TZsC3OMyQRGlBnTzXd8/NH1U7uLkk7XZweWi4+WiA+WSPaVSPeq03aUyw+qUnYmX1tx8Vv3cyc8A752Cz45K+z0PMnVda2Ksy/LE3tzoluzbzwpuFGvPqOV7ZZnrJGKvAvEa25nbtCmrlel+CpSVygyvNNTl0THzLka5nk1bFbINa+LoR7nAp2jrs4Tx66Iv/ZRQph3kWR3hza0o/DaYGVqf4Vk6F7B8/oyousR8aybGHlKTAwTo4PE2DDxax8x9IQY7SM6msYbq3rL1V1FOS9qS4hH1UR7DdFdTwy1EAPNRFd9X7Wqvyavt1I1XKMlmiqIH6uJ7kfEs6fE6D+I314Qv40RYxPEqwmCmCB+HSGe9b3qfjTx9wdEdyPR30YMdhD9T4hnj57f10oSA9NunpGnXarMT0yI++5MoF/I1cOp6UHBYV8eC9wSGbdfLjtbkhf6R8k00JX9nWT+nrmfP0KmvoHJZEOmvCk4Dcnk8t8mkzxTi9o4oQJXROhBGmrnSbWfRcIJCdxgoQdpwM4Ddpj1GplWOjKpNo50i5l0a0fcyhHi2wLODMCdgfJnYOYzqHwLjGehJxM2Zun0KRlsgNNJMiEj6rvJRFEyOURgBKYgMERBJrGcgpEstL5FJjTZOQEUql6Mj9xQIeFEaHTIiAYhGAxTIUgXEOF0BpPNxhlMzJiB0GgAhgAFhWg4wjBBWCyydoVzeSxzi9mz5y+Yv9haaA8zTRh8M46lFcbhomwTOpuFs0z407gzrDluzvx9nyxQxhxqzLnQkHe2Sn5MK96rTvO7nXVIm/65JGpddPCi8ICFgcc9LnzjEXLS6+a5j8qTDnSrrnQpI5rlke2aiGrlKVXGp1LRakmyt1ayrlK2WZ28RpO6RpG6Ij1pSXL8/Pi4+WHhs84EOpwJdLoY6hF+dW5qjLc8aW1alK80dmON8mh/RVR3aeRARUJfxfftpd+3lmYO/VhO9LQQ/2wfG2gbe9ZJDPe8+PnRy783ED3NxNNHROu98frbw5XqoXLVyN288fvFxE/VxC+NxLPHg/UFuaIQVeqViuy49jLFSEPZq+aq0Zaa0b83jz/rIV6MEv96RbwiiIkJYmKMGBwYfvSwr6Fy7G/3iJ9biOEnxK99xGgf8XPjix9LizIjJImBt1KCNbKIm9GnLoYekIkvVxalSMSBVyP3i1KOq+VBRdlB/w0y35qk/cNkvg/O/xKZEEsXu+r4JJkkz2ZORrPwNCsyySTJRKxnUgXOmNCdznQb9gAAIABJREFUaj8LtfMkycQcvFA7T9J/klhCtu6w0AOx84Tt3CChMyQgfeZMyMoeme5AFTjRbZxwW2fMxhmysAd8AeDbkDoj2DRLjGeBmPIhFhdisCb1795L5tQJNoxKkgnBFBiiQDAFAjD8BpYkmdBr7zJ8CMEUCEF1h1IMVk8QOgPGcBilwTAVAAQA3Q4Dg2HC4fLYHK5OgB+jAhSDcTrCMIGZJmSmgHG4zGnmVrYzzW0EdB4fYbEwDhfjcHVbPjQcoeMWluZCgSWHh9ra4X5b5yRc3NmguFCnPFuYflARv1ud8mW5+Ig6aZckcm1amO/VM/NDTnqFnpp99eQ8aeimmtQTDyQBD7Iut6hCK7KOKdO2SVN8ZSk+ReJ1lbLN2tS1mlRfebJ3avyihJvzo6NmX7zkcvK04NuAmVevesVHLRHHrpTFb7h1c0uJ+OCTsssDd2+0FgRVSE+qko+kXt+nzjjbWJbUdV8x2nO36V5u8/0fWu8XN9yRN5VK+mvyiNa7E/U/vKr74XmpvFkaU5se0aFOfX43d7RO+7yuQJ12+cTxTy+c/zIt8VKNVtxVVzzUUtVeX9bb/nDkeQ/x269TSearfxF9XV3VZe131OMtVUTXA6K7ieh+RHQ8HL5f3Fetbsj/vjonviovQZl+OTbiRPT1k4Wy6ApVvCQ58Ob1o7kZgVWq8HpN5P8Mme+6S/sH4Hxv8jmprKFf+IJYHIjF0c3ikXCSWyYcPsTh67sm+s1pcm4WshQi0x2ptm4kimRASyKqj2x1wa2NKxC4QUJXSOgKbJxJMmEbR9TWGbNzwYUudDs3zM4Vme6oP1mNmguoPCsq1xJm8wCTAzH0DtMENmYBGv57yNTB+BaSJIVvlIUM4NRjiSF0HGGYoEwWzDTRCbjQaBCCkrTr2isoFcPpVBqOM5hMNhsyogIYxphMiIYjdAZJJvlso2w2zuXhXB6pPEQ15VBNWSjbBGExIQYdY7JQY6bZNEt7gQ2Xx2BwYCdnzuoVLpFnthcknihJPa6M3Z8etqtIdLQ09VBJ6pe5Nz9NuLQi6tyi8DPzQ497JQWuKojdUxJ/qEYc0KC4cDvzcEHGrty0DYqUVdr0dSXidSXp6+Vxy8Q3l0iTlt2MmncmQHji1Ixz55wCzztfD5ubdP0j0fXlkqi18ththemHHuQFPi4IqM4+Lo7aGhbkE3zeu0B+rK78WmXxZbns/IXLe7858+mx0zv8T+9IiDhSp7jRU5b5vCyTqM0ZKRU3pIfWpFx6ok4ZKMvuLMqqUcbfvHZi/6GN/gH7wqPO3sqKLtGKm+9pn7TWDfzSMTY+PNl/mSCIVwTxinja+uSOuqVQ2lOR21Mu7y2T95XntOdLH+SltRVJB+9px5srXvx4WyuNSIryl4su3c6Kkyddir58NC3qZLUisq0wsa8i4z9N5nvu0r7vGOY74fxjZMLsqSsJ8CSTU2Tq4NTpAE1qGtjC1g5kNEviBwncSBpJMklKJyUtXSEBqXDpDKY7ARtHSOCE2rliDu7kn1R7N1TgSt7GRSyEMH8GyrVETM0hFh8wOTCDQ2aYKJMF0U0ADQdG2L8hk5zaeReZ+nuKb5MJAIApMIKhKEZDaDSEjmNMJpXFRhgmMIMO4zTdRtEk3RCAqTQcw+mIEcZgsaytrBksFoAggFH1avEw02TyRiADYZhQTTkklhiHS+rfwkwGoFEROoPO5rA5fAaDjdFpLC5ubs00n44vnG/77Ze+opB9qphjudFfV2Wcr5WebVQGlIq+vBWxKenSivAzCy6e8BKFrC5K/rIo6WBlhn+t7HSJ+GBBhp8qbYs8yVeV4qtO9lXGLU+/vjA9apEkbml4qPuhI/xvvrGIDPWKj1ggjvWWJa5WxK9TJ2/TivZoRF+qkw8okz5VJG6NvbbsYuC8C4Fz01K2RMdtOnZ+8d5vFu08tHjr54tPntp089r+2+Lg7tLvm5UxT1QxI6UZQ4VJbVnXnshvvLgjG72b16HJVIuuRF8+FnB2X2TEd0nJobnKxNsl8vamiuGBjjFytZoYJ8hzXxOjxG+DxKO6J6WKxhxRdWZUYWJwZVp4U46oLiuxJiuh724e8ctjYvAnorOhNiehKDOiUft9R0l2eWa0Ku5SZWZkd6mk705md1nqf4ZM3b4S/u+x/DCiH3abhmROreczmYDJhtlcmM3Va+Qh5Cg51+x9PpMkk/SZqMCVdJikkTEtaZiDF9V+FmzrDk93hacbaOfZOEMCF9jOBXVww5w8qI7umJMH5jQLtXNHBa6otSPVwp46zQY2tYRZFoDJA0wewuTqRCgZJhDdBGC0D5FJzrvqyTQwCMDk8B1Mgd9wlfrHKIroepIYhtBoVAaDymDoTqcZUQ3quRACI3rlChilmptbzPf0cnF0otLpgAIDnI4wTFA2G2WzSTjJ9c5Jh8lC2SYQg04qUwMaBRhhGJPF5piz2WYMBpvOYmAsDGOh1gK21yyb7evmxQd8Xie+1qNNaVNHNimDH8jPFCV/eStiU2zgsvAzi5TR2xrkp2qzTlZKTtTITmrTvlSLduSmbJHH+SrjV+XGr0iPWCCNWiyPW5YetehqsOuZbwWhga6iqMW34lfmJq9WJa/TJG8oSt9RId1XJP5SkeQnjV8rT153K2mVJHlFumhFQtIq/0sLPjvhtPf4vIuXt8RGflmRfW2wWjrRmDdWp6hIvVSTGtScdaVVfqVNFtJXED9RlTN6N69dLVGlXJbEBkmTQyvyM5rvqvsf1Q62PyCedRIjA8TYP3Tb1cQ48eoFMfT05d8fDNb80FOmaMv/viYjrCQxqEkR31cia8sXP1CmTDy8TfzzKdHXPNZY2lYkeV6bT7RVj90v7SvP6SzK6i3OGq3OHbwra8qL+n1kvnVE6MNkQm9sP/+7S9Lv0877nWSSDhMx1Sk+ozxzlGeO8Mz1cJK1WcM8E7EQIBZCxHqmnky9IUIPqv0s0nDH2XR7L6qtB2Ljhti46d0mJHCBhK4kmVRHd5JMqqMnInRDbVx0ZPJtYVNriGkOGGYkmVQWF2WyYGMmwJmGZOp6jO8hkzw5/LqBN73k60kmiiIYRqUaoeREAUKjoTgOYxg0eVpK1w6FKFQjjErD9W0zPt9struH+59cmGw2QBHYmIkyWboznmw2zCRPOTABnU6uj8FMBil1CzFpwJhKZ7NQYyaVzmIy+AwGFyBUiIZxpnFmCKzMLJj2QvamlV63Lh1vkkW35kTVSS905F2uzTxVKjogi9wsuuxbkOT3QHG6RnqiOutErZwkc5cmZas8brUibqXiprc8arEq0UeVvEIcvTjh2ryksPmSmI8UiSukMSsUcb6qpLXq5HUFKRtLxJ8Wiv0UydtSY5bJU1bJ030UEp9SzRZl9qabKWvC49aolMcfVN7orPr+ZVMe0VNNPK16Va9qVkTXZoTWpQc1Si50qsJHy1Nf3csdv/fD0N3C7js53ZV5zx+WE39vJPp+Ikb6iZ87iV+eEoMDxOgQMTZEjA0T48PEaD/R2dhXV9JTkTtwN7e/TNquTujMTyXuFxOP7g7XaNsLMp7fVRHNFS/vF3aXyXrvyIn2aqK/hWi7N36/9GXND8/v5AxUKHorMuvzbvxuMt8P5zvJhN64wPcuOD9M5ttwvptMlokhmSSWJJkknGQFCOKbI+aWqIWumUnmmWRtFrFxMWyZIEIP1H4W6TDfIBOxcYMEbrCtK2zrCgldYTs3yMEVdnSDhM6wnQskdAXWjsBiJjxNiPIECGeGIZkoi0dlcRGGCURnGJIJY5ieTJiGTk4CIICim3fVkwlNTaW/yeQbbhOmwFQjFEEoZBZJqlIABCErRuRAOwIASqFQcQxj4LotXAAhNBqfb8bl8VEcB0YowOmwMVMnZks+53QGaswExgzydwozGVRTFsSkARwBxlSEjgGMCmAqgHEqxkJoTBin4ywTMwsLcwuuuQXd2pL2ycq58ac/r0oNbpCFdKiuNGadrcs6cTt1nzx6qyZxV3n6YU3SvhrZibrsU6UZB0rS9xal71IlrlPErZTHLi9I9NEkr8hN8rl1c7k0dpk83ic3eZUqaZUizrcwbVNN9s46pV9l1o5y6Y4iyQ5Fyka5aEWJfGOBfNWtjMUVxdsLtTuksu3JGVsbqi4PtkiIpyXEzzXEcDPRXfP8jqRNldiijGmQXmnKCu4rjJqoySTu5xGNt4lH9UR3C/FLKzHcTYz0EcO9xK//IHo6iaedRF8vMTJEjL8gXgwRQ78QP/9EtNQMVGv7K3Oe383tK83syk8Zq84huh8Q/Y+Jv9X2lMoalYnNqpTOIkmHNqP3jpx4VEF01hIDbcSPFWO12oGy7K4S8ZMSUXNR/B8hU59YAqMpLEmh5/9SNPsGom/P/fybST0GnSwYQmwWymZTTXl6LFEDLCEOH7C51GnkCogZKZ8FTZuBT3fEbZ11x0uEHlS72YjtLFjgqc8w6fZeDIfZdHsv1M5TV6EVeCK2syBbT2DjCgTOsJ0b6uCBOrghdpMFWytHYC6EOTMQtiXOscQ5lhCLi5jygLEJMKZTeTyUzQU4Y3JxGX/tAgXN4NmmILqNdpJGXQuEQn4IgiFItzwJ3kpAAQRDCAxPDc0iU3sqMEU3qwADgEIQSqFQjTAMo732OkvDEDoO0TCAImSeqRuuYjJJxT2IwSRb0+T9NfIXB+hUQKMgCArDVEChAhQHCA4QHMJYVGMeh2ViYW7G5XOsrLkzbNjzZwui/fe25ST0FMcOlMU+kJ+pST9eJ/avFp+qFH+tittVlHKgUnK4Wn7gtnTfbcme2xI/rWiTPHZ5btIyVfJyjchHI1qpSl6hSFyhTPJVJq6RRi+/LdnSVPBlbd6eoswtWsmGwoy1ymRvZepSTaaPRuajVa4uLdhWVLxLpd2Tq91XUxMy2C4ebcl60awY/VH2olneezepvzK1sySxVRNelPx1tfjUq3rxixrpizo10dVAPGsh/vmEGOkmXgwSz/uIn1qfV1YQLc1ETxfR30P80kkM9xK/dhP9LUTXPeKnauLRDy/v5zzOi+7QxBE//kD88pB41kx0N4zdL2jMiXugjO0szhi8I5uo/4F4WEo8LCWaK1/Wabsr5K1F3zeoY+s10Q1FcX8kz3yDzD+cZ/4eMt+H5TvJNIxm4clUkzSUTw6am+vJxKwdMIETMt0RsXFB7TxJMnXZpq076TMZDrNxx9mYgxdi5wnsPCBbT1g4CxbOAgI3YOtCkgk76sgkhWchvi3MmQGzLDCWOZM/g8rmoxw+OTZI5fFgJhvQ9JICOET792Tqsk2YMrlp+SaZ4C0ydc4TmhwDQsiFEgimTFEMQxAVQahGGNVAgU1PJnkxFcbpsDETZproVgXIIhBNHw3RIbJyy6ADHAUYBJEvJQgpLMbQ8YnSAYLgLAbOpptN51sLuFQWWDTfVhZ2qi0npr8kpUsT3qG60p5zuVlxqSUnqF7ufzvt6O2Mw7fFB0slhyqyjlZKDxSkbJZEfiSKmC+NXapKWVmYsbYwfY06ZaU8bpkkenF6xAJ1yspK+ZYi6QZJ3NLUmPm3khbnipak3ZwlT1uoli3XqnxvF31aWLxbkvPpTemWZOmuW7JDyswTtxUXajSX67VXHmjDu8pT2rTRTTmXS1KOauK/bMy50FEc/aJRRfxUSQzUEwMPieePicFWYqB9rKmqvSS3/24h0VxHNNcRj+qJX9qIgVaiuWyiLo9oyH95T9ZdnFiedv5BdjjxYz7RX088qyc6K0dqcyrElwtTLtRn3+gqTHtZmzdxL3+sJu9lbV7vnazHxd/X58fdll8pyrpUmH3pD5KpU8Ew+iO12d9P5oftfWQaVoD0WCI8c2DKBRwzZJoNzJ8B+NaopT05mqcj034WKvTSkwlP9jbpTnNwpzmIoxdw8AR2syB7L2A3CwjdgdAVsndH7N0Re1fU1gmaPhNY2gNzAeDOACxzyJiL0tkYmw8z2aTGLDlAg7A45GW+d5Kp10DTwWlo+phlkswPRLR6Yl/fOAEQCpMfgCkwhlHpOI2UYtMVoiYjI3KskoxmIcZUNKvbj8F0GQpZCkLZbITFBAwM0FG9cg0p+AYZUXULohiKsJhUDpM/3dzJdSbbEsfYYP5sgSjgYKMkckCb0qOOb8++0aaIaMsLa1QE1mb5V0mOVUi+rsw6VZP9XaX0SG7ShtTIRVFX5yRdXyRL8tamrykUr9GIVirjl96KWSiLWnArZqEifqki6aO02HmiGE9x/GxZylzRTddbotkKyaJcubdas0FVuDM5e8vFFF+/QJfP/F2PnF0UGLIuPmmvPOtktfZyU1lslfKCNu24MnFv+vVtktgdBeKjT6rintSk9NSn9d6XvPibeuhH1YtWbesdSb1W1HEna7ROO1SZM1quIFoqiL9XvaiWteZENogvteRcacwOqcgIeJAT/rw+a6Lth7GfCvubc1vy4wpSAopEgQ3y8Jac2Cf5SU/yk7q0ot5ySWuxqL4wrjIvQiMNVKR/d0ty+nUy3zjtrkcRmTKyiIcYYYjRa2SS4m7vK/b875Cpb5noySSzTZRvAetUecx0V/R4VmQ/k+yaUO1n6QcMIIEbELgBgRts6061n4U7zaH+aQ7sOAeQTNp7AXsvYOcB7NxQBw/E3h22c4FtHIClkDwyDVjmAGcDlA4QOqBgAKPDTBPApENsJmzKBjgOaAxgQOYUnG+QaQDnGzK/5Irzu+E0IBOeGq+FyEISQCGAQCiK4DSMQcfpOA1GqQCCdEPRk+KmOkknI5Rsk+giWGMmKboH43Sdw2QwUTYb5XJRLhvlmkAchi6bhSkQSoGNEHL/E0JhYMrEzHnm9rZ0Sx7CZTDMGTiXyrek/9V7duyJPY0ZEYOFaSOlmYPF33drY5/kh7XknW9UnnmgDGhSXWpQnC8RH5Qnrk+PXZxwc64obr4kccmtpKWy+CWym4vlNxfn3lykilt6K2ah7OZiWfISafLCWykL5Gnzb4lmK9IW52Yu02Sv0Kh8tUVbCu/slhRsCcnwOXDdZcf5mZ+dddvh7+l/3Tdddaih4UZjXUxa2udXw9eEhiy7cmnp1UtLrl/11mR+XpB1QJb+pVxyUK04KRYfThIdCAnbFnx1W0LcoeqCqJbihI7ipOFa2YuG7NaiG5rkr28GbZFFfX477VSNNLApL7yzLKGn5vvumu8flEQXSQILRN/VK6490Sa0qmOaFTeasiM7NPHt2sQHmuhaTUSl+kppdmBB1lmN4vxbZL4/fH1DbFanHGX4/n9L5geLtP9BMuFJDR4SS53PJHdNTC0A1wqxEODTHRHrmVSBE2bnijlMjf4AG2cgIFsjrojQg+rgRf3TPNhxDnDwAvZekMNsyGE2ZO+JOnigDh6onTts6wxbz4QshYBvDbHNAJ0FUBxQMABjCI3ON7e0shXg03gwl4VwWIBGA7RJUUmc/ppwGT4pa/bWa+KbdysQWOc2obcM6NJIvducIpMCASMYNqJQjVCycgtTdBPxU6+2NJr+RCpkRAX0ST14A2142JiJMPTHVNhkOEDlcTA+G8GppDwCTIEQBIYRAFAAUIDyOQxrixnOjiyBBcRhwBway9LE3cN+7VKvveuXRJ/wq08NHy3NflGe1VsQ36u90akNac0LbMkJbFEFN+ZcqJQeUadtUqT4SDPm3kqfL06ZnxY3Py1qXlrkXGnMQkXcEmXiR7lJy9SpPopUb3HiQmnyQmXGYmXGYlnailzJ6kLlhqL8TUUlW0qrdt4qXn9RPO9osrPfVds9oa7bA533Rcy/kLE+vWD/Tdnub8IW+5129TshPHbW6Uro7IvBHvERi5Kjll24tCggdNF3lxd/dXHBppPuqw87e39hv/Vrz9D4PRpNcMOd6PqSyFzZ6ejY3dfDt0Vf25x2fVep+FRt9oVGZWhLfnhnaWxHaUxF1lml6KQm7XSTJqKnJKm3WNRdmNRdmDJYIWlVRddlX6nMDqrKCarOCarJu1Sdf+V1Mo0MzFD/7l1YvpvMD7vHDxZp/5tkomwuwjUznDTQ+0zqNEuUb4GYW0J8S8C1wq3sOfaubDs3TOCAC13oDu6Ygyc5VAAJXPQ33iGBC1mnRRznQA6zgf0sEkvYYTZqPwtz8MQcPDGhOzLdUSc2y7dCTPkwjQkoVAhCUYTG5/IXzJq9ZPECM7sZCM8E5bKBMQM1Zur/owO6odSDgebg66+MhtqWejJhCJryjK+T+ZpHJZVHyJ0VGorSUBRF9BvSpIipPhqi0nAUx6dc96QqPEQGsTScdKEom42wWPobDeTBXCqHCdPI721ya5RCloAB3YJjbj+DI7BgWPGsnWy5AjOWpcmcOc77tvj+dcX8tR+5H9i47FbwqSfZKf0FKYMlif3FkR15IS3ZgW05we2a0Cb1d5XZewulm2QZi+Spi0jBEXmyt1K0IjfNpyDdh9wLk4uWi5OXpsYvEicvlqUvvZWy4FaarzR1lVK6Njd7bW7eOk3pRkXpuijZwq+ihZ8EWfoFO/hdct0S7LgpyOGzEPftAc5/+cZy7XHLPWfsQ8LnStJWxUbOC7/mGRzs9N1Ft6NBrl8EufiFeqw967QhwNX7qK3v8ZlnkrZL1CfVBQFJogNHzi7/5LBnYKivUnKwThXQXRk9UJ34pCSmMe9Ko+Zao+ayOu34zYjdqrSTbUUx/eWpvSVJPUUpnYVJgxWSzvzYppxr1cpLtXnBtXnBdeqQ6vwr4LVI6W0m33PRfWrJy1De8neS+Tqc7+yXfMCm1LreRaYeTsjAbRqSCfNnmDm423rMM3OaRbWZSZKJ2rkjQjdE6AHbugIbZ3KLGhW4YkJP1M4TsfOC7L2A/RzIYTbsOAdxnEN18GI4zGI6zKLbuqPWjqTSLJVnRWVxYQyHYApKQRk0pqON7Se+vjs2bbBytAUMKmDgAJuaL/8QmUavRStTWJLv1ysbTDpHvcqBnsypNwoEoRSYhiI4FadRUZRimKXCFAQlpUxhil74GyCIrg6M0SAjGqkTr/u2dZvf5AwWC6KbAJxJ3hFEjekQCpNTDOS+KEyBYBqCsXC2hYnwTzO41jymFWeGk42VnbmTi+36VUv2blu/2nu+p7tgpg3/4/83N/qbAzVJ4cMlkrEyyVBhQp8moic/vK8ooqv4cqv2u3r1QVXqOkXyWnnSGlX6xhLZtvK8bbdVG0tyVt/OWyuXLEsXLUxPXSJJXXorY6ksfak0eX5u5hppqo9MvEqetUYq91Vrt2jvfCrVro8SLw1LXnolfvm52OV+Qa7bz83cE+R66KLX6q/M/nrUIuDqXKV8W4nG73r0wnMhLsfO2357yWl/oK1fiMOmEEef8wLvANslJ6yWfG0dmbVbXXImN88/LGr73uPzvjg+Jz5mW1XeqZ7KiNH7qWNNmYN1GY2FN0qVQcos/6jY3dfDdmmlZ7rKE/vKRN2FSZ0FCY/zYjoKEp4UxDaqw+vzLz8ovFJfEFqjCanQhL5O5nvw0+FEo+psEjAYp70hIg7eGDP4d2S+cwDo32L5PjJRnrkhmXq3qcszeWZkbdbGdY7z3CUWzrNhK1uqwIkqdCFblIjQTYfodEeqwBUXumNCT0zoidh5QXZzSDIRxzlUhzm442w9mVRLB0CWlHjmKJMDo1QIwFSEysGZ3nPmXjhw8MKRIy5eboBFAywGIHVfDcg0gJP6gTjlbTJhil5rC3pjtN2wawIbIQhOpRrTMAau75pMBcIwBYIpyOSkgY5MsmyDooCCAoSqq7WS51LYLMiUDRjkjSMWbMxCcBMYp+vuoxpRDPdFYSMKg8PkWvJthFwLAdfK1mzhwlk+3gsWLpy16eNlhz7bvHPbJp9lixbM8XCys7Xg8RynW+7/2Lsm7hpRqSYqs4kK8cvylKHSuL7SG12ll9tLz5dLDmiS/W7d3KJI3lok31mZv7OiYFNh3srS/NWKrI9uZS1VK1YospZJ0hbKM5YUZC1PTVkQHzc3PfUjmXS1JHOVQrVJVfipWLVBIt1QUXTgQeWZitKTUakbL95cHhC24LtL87467brjiOBqxLLKwkPavN0ngtwOnJt56KLjZyf5fz3O3ho0Y8kZntdJrstRkznf8BcctwxL3Vp9N7ix6po841DYtY3x17eWy442qf3bC4Jb80PbiiN7akTNdxMLtaE3xUf2h6xWZpyqVod2lMR1FMT2FouGKjI7C5Na8+LrFdeqFCE1mpD64mu1hZdrtJcrtFeAIYpv74i8m6t3GknsG2MGb/xdQ7AnlzZhBp1U3HotTDXG9UbuMejnM2Hm1PVI0nQrYCzdfSFDz0k2UUg4EZ45xDGnTrNhCZz49m4coRtsZYtMd0BtnRCBE7BxRASOqK0TIpgJrO2h6TOpAidc6ILZuiA2LojtLNxpAeY4FxV6gekuiI0bw96TYe+OC1xwW2fE3BoznwFwE0DBUIxORah0DLO1MP/i47WaaxGSS6F/XrwQ4+i0f2Ccrn+u3ogdyF4FMEJ1+s6vxy96R6pbhkbhSQ1LCFBeG62dcqE0KpVtghrTAQVBEBTRTcxC5Liszqb6pchUkZaU24NQ/YYngpsgLA7E4gAmC2GxyJ8FouEwhgMUhY0QlIZSUQr5DZATgFQj1MzCwsZOaGVl7uwww9GWt8lnTshXO6588/lXu7bs37l1ve8Kt1nuju6uZtOtcZYJTmeYm3L+4jXndngwUaImKtVEeRZRlz1SeONlWfTLO1Gjd+LaFEGdmssN2aeVKTtk6RvTM1elZS1LyFgUn7rglsxbLvORZiyVpC1OT1ksSV0qFXmnJ30kT/e5rdqcm7mmJGfrbbVfUc6u29J97YWXBirje8qiGwvOauWfJ6Ssvxq98uK1hcERS5NSNtcWHE9L3bIjyGVHqMtWf8vt/mZrT3HWBlvOPc+dHWzpeJzjfoDn/dWMqNjN9UUB5crjyfHbr0atT0/foxHvL0nZWyn3r855JkzZAAAgAElEQVQ8W5cd1liWVFIefVV6+Gj0Fv/Y7QX5oQ3lsR1lok5NQm++qLfw+3ZN4gNVTLMqrFwaUCA+Va2+VK0OrSmIVGeHAkMP+b9BpsHX/4+QCbFZ5KLJh8mkTrNEeOSJEUvUXIBZClFzIbCwga1nwjb64wgzoekz4elCYG0PrHUbXsh0R8jaCRZ4Uh3m0f80H1i7gWn2YNpMME0IeDawlT3T3g2zEiA8S4DRAUJDMTqAYDqGudkKP1u5KsBvz2fr1tnYCRAWE2IwAU6nMkzeCD30pssa3pXqf4hMCnibTJRGRegYGWWgxnQUo+E0XL9iAkMUGJrcNYEmOyx6n6nXvwQIBKHkkidszKKa8hBTHmCxIQYT4DjAaACjARQDCAKhFARDYFjnjXGYglEobCbT1kYw08nRVmDt5iRYNtcl5KsdBZFBBdFXzh3et9JniccsN6Y5F+OwUbYJw5TNMuVgGNWCw/XzXpgb5E9U5BMPi4nS70cLY4m6DKJWRNxNIhqlxI+yds2lkvT9BZm7EhK9z1128b9ov/Mw86uT/MgIz1upPrnpq5SilVrJhtq8z8vln1ardjYU7ilXbi1X7agr/LKu6GBj/oknxSE9ZdHdpZFP7lxpLjujlO0JCfdOiF+TlLYxIWVjWvyGgNAFvqesfM9abTlrtf4E++OT7NWB5l5nWR7nzVxO8Rcctdpw0iU91a9K+50keVdYxOr45G0q1cEC6b5S8R6t9FCVMqA+/1r9ndjcopBv43fsj1h7NfNgxZ3I+juxVcorhUlnatJDnuQndRQm1edFlUsD1OmnNFmn64quVeSF3M4JkYkD/nNkGvD2XjLf9Zn/QTJf62dOkkl2UMhUE5iaAbY5MLUAphaAbQnMZ8BW9sjkqS8SSGAlAFZCYG0P6458zQRWjpCNB2I3B3eYC6a7A2tnyNoJme7Msvfg/mkW3caJamkDTM0AzoSNWVQ6E0JQW0vLT3xWfLtj555162d7uDP5HHJVCuB0YPT60/s+Mt8+RfFBMgHFoPJDgajGNIxJB3QawFCIhqEYjbwoRYrooRQUpehmaKfWrWEKjFL1s7V67XcAo5ARDWGYYBz+pKDR5A9ihOnJhI10DhOZHDDisEysrS1n2FibmXO8XGd+tdlXHRZUnRRVEhdx7sBeF1cnc4EVzMIhBh3QaVQGg8lmY3Qa35TFoYOZ05g3j+wl7mqJh8VEZeZYUdzLkhjiTiLxMJuoy+xRX+7MD+4uv1SVs1+WtiEyfO43p2zOnHVIjVmqTd9QmrGtKsPvserrtvxTTarDHcXH2osPVys+LZFsrFPvbSk+1FYS8Dg/sEkV1Jhz4XFhcGfVtSrNyajo9RLRJo3my4SUjUf9Xbd/Y+Pjb7nEn/uxP+/jE6zVp7krAy08TrPcAszcTpovPS70Oz9fozhSojp+9dqqK2Er1HkHqu/4q7J3KzO2SzI+LVAeLdcG3S67Eq/4ekfo8p0hy2OVR+Q5ZxSy726G7w05vUkSdqhJFd1eKqpT37gtD1SKT6iyT9eUXrutulCuCi1RXvm/TSZsyp4i05T72kS7AZwQh0/2TmCuhQ5LkkwLG8R6JvK6hCywEpCITgo92wMrR1jgidrPpdrNxh3mMhxm43YeM2Yt8t2wy2fNVradG+BZADYfsLlUUx6VYcJgcf48Z37YoWOi0wEHNm9xdnIAOAYQGDLGqWwT1Jip/8Eh/aUW0j5ce3sHmdA7DAYQhsA4FTWmARwjA2OERtOddSN1EhAUQVCYnDSiUAx9JopSSTJhPbEUFGA0lMnCuTyMw4eZbHL6F9KtmNJglEp2L6cyTABQBGYzGXwel8Pj2NtabfnLR7EnjlTERarDgpPOnfpiywZrW2uEiQMcRZgMYIQChELmw2Z8roUpHQZgttBKE3RmokBO3M0lyjKIaglxJ5WoyyKqJS+0McNF0RM18cM1N7rKLlQpvtRmbL+d+WmldGeNxK9RdrBVdrxT8V2j5PgD6dHekrNdJSce5OwpSF5bI9vRpj3cWny+Me90Y875JlXQg7zAtpLQuoIAcZJffJRvifaIMmfPkdPOPgc4i/z5c75l/vmEie8pzsrTvD8H8Ny+ZTqe4th/xZ57wPqLwMWlan9pxt6A4MWx8evLy47VVJ0USTaEXF988ursc9e9oyV+8dkHj0St/vM3zpvOzYuUfh6VvC86/vOQi1uCz2y4FXO0pSC6vSyxLj+yRHleknFUIv66KP+8Jsu/XBlUnR/x/yeZ+oD2D5CpE241ZcOmbMiUS5q+TWI4NEvOzZKTQCjfCuFZA64V4FoB7gzEQvA2mZC1LZln6q5iWs2EpzujQi+qwzzMfg7jT3MZDrNRGxeh15Idfoe279hv5eIFOGaAYwbYXIjFpZryhMKZO9ZsiP82IODzfX9ZvMjMwgyh4wDHIGMcYTIMy13vI/O18tvvJNNQ1AtDYJzK5LA4fD6VwQAoitBoVBpOXnYjVaERveQapqvN6m6lolQYosAAQsDkVQYEATidlC+gmnIgBpPKMEHoDFJMCMZwFKMhGKojk6zKwoBOo3JYTAse19rSfP3SRWGHDyhCLqiuXgo9vO+LzWvneLjhLAY5u0/+jDBOozJwmI5COGLG4Vjz+AwjdK6d8OKOLUOKNKKx9JU2iciPJWplRPMPRKVkQBkxUhxD3Pt++E50c55/heTzcolfpWRXk/xAl+pkh/Rki+hYxc0D1SkHn2hO9ZWe7iw5ViPb1aj4vE1zqFV7vlkd0FV6pb8i5klRxGPttTpVoFq0PzzEW5a1u6jwUFjsso+P812OYO7Had6n2OvPW64NtPQ+bzH/rJnHt+bOX/GWfGUbEL62SHkyPGLDifPz0yWfagv3y9S7zt1c/Ff/GatPWX58ZuY38avOpG1ae9ZjyVc2h8K8RcpDUvlxhfyEIuO4JsO/Xh3WUZ7QVhrXUBBxWxUoFX8tlhwpKQgsUnxXqQisUoSA116e/xiZrxdd/6tkQpOa67+fTH1JFjZlQ2+RSRZ73iBzsk5rifCsIZ3ZQNNmwFb2kyGrPbAUQlb2kKUAmj4TtnHQk4nYuKBCL9R+LubgRbf3woTuyHRnrpPXnKW+ngu9GQJHiG8JeBak8hDHWrBw3uL9W3cEH/h69dJl1lbWME5jmLLZPB5kjAMjBGCo/mfXPTP6ovdbp9N0QL6PTEMaJy8sQBgCjGBAp5pPtxQKhXQ2CyAIjGFUOl2fQ8JkD1Pf6EJR8tof6Voh3QgCRDpSyIgKGePkqjTKZOnFhHQaX0Y0xAiDjRAwuRsDUyCqEcKk01jGuI05b76L05ldOzVhV4quRyR8e+KTVctdHG1xJk7KHenb46gxHWPSIWMqwCGAoDiDBQAFBbATj5d0aB9Rlvuq4PsJdTRRkEBUZBHV2aOqmAFlBFElJqrTWhRnNHE71XFbqjL9WlT7O1RHm8WHWtKPVsZ/WR6/u076ZVvBkd5K/3bt0SbVwWblkcac8w3K71oLgrpKwlo11xqVobWygNvpX4siN0VeX31TtDEpY92Bq25eJ5hepxgrT/M2BNv89aLgzwFmc/3NvE5Zzj5stfYbtwTR3iKl/4XLq48FLZLK/cTZn4Ym+3wW4jrnMGvhSb5P0MwDqasOJK/683Hh6q/twxI35eYfryy5UFt8qa4otKUk8klFbEdpTHNBeKP2Wp32UkG2v1x6tEp7oVYTVKMILJec/W+T+fqHXgvS/ofJnHSYOjJhDu+NoR8dlpOCQMCUPJg3RSbgW5NbmpDVTGA5RSZs4wDbOCDTHcCkgjss8IRsvej2XnR7L9zOA7N1wWyc8emOiIUAmFpAfEvynAnCM+cKhHPnLvz4z6tWL/We7eHJ4fMBQgEYFaHjAEWAEYIwGW/mmZNkvqEDqiMTRd5H5pSgu14Xk4ZCNBTgCGBgXEszK2tr1JgOEASh0ciZW111h4LAKBUyor7xGzRYrdaRCSEojNNgBh1hMREWC2GY6GSEMBygmJ5MCKUAABAERlEK1Qhh0GkMYyqOUZwF1jv/4iMOOFMZG6MMvRSwe+dsdycGkw6MKCgdAzCs09ckO6hGMDBGAQsFxiYAN2EYm3EZZiyENtfGUn32KFGhIsozJvLix1VxRHUOUS59rooeL00lamT9hRHlKQe0SdurZDtrZDsqM7ZViXY8lh5qkh6uzdxXnrGjVrmnIX9/U/7hWvmBOtnhOvn5Ovl39YrTdfKztZmB1eLAGvGZavGJgtQDV8JWHwueGx7vfSZuoXeQ1ZIAs9Wn+KvPWW4Itpl/gu34FW3mfub8wzafnJwtFR+p1FwIv77V/7KPJHtPkmTLN9fm/sXf1uUI1+042yfcY2faivWRC/58XPCZv+v1uPW3svZXFZytKgioUZ9vyA9t0V5r1lxp1lxpL454UBByW3laLjlYqvKvVH5XJDomvbb3/zaZ0CSZMIcH/3/UvXlUFGf+//vU009RW1dR1VXdTW/QS9gCQkA8oAwqatDgDgbFBQ3iHlFcAEFEEGRRWYy4oCB8UZCwi2yioAQDR0VNdHTi19zMnfySO3MyZ74nOZkzc2ZOpu4f1SAmZpbvcu/5cp4/sEGQxld/Ps9neb9F7cSU7ASZL0W6BElxVkZaC9R5QJ0H1NkwN4/JZCqyztBsh1ZvZPNRyAQmT8ziC9wDgXsQ6z2N8wll3ghC7j6Y0RNoPYBkgjoPIOqB1qgYARI6g87qMFs9edFAsCzJcQTL4moGVzMYRQIXJaC9GjNpZ9X6R/K8zrFypPpnyHS6blI4pAlScoU8TYuujMADHCGKItWsMljgbIcg3Dm9oJSIJy/T4hNGfRgAAEM4YmjlaZ8gU0lilZiJXGicpACCzvslwkgSFziW5yiWxiP8fI9uTLpRVnq1sODIlo3vzp1tMIg4hUMXpGzPQJLEEImTDE7TmJpEAg0EAnAioAWS1gu00aoxchBE+hqvZu2Qe6rkgcvyjcvyvU75QY88eFn+6LJ8t/kvH1+8V7+ns3LV1erFV6vmt5+b331m8d26hK/6Mj/v2zfamjjctra/cdVQ88ahhm2P2tIeteY97yl63pv3qC3n3pXcu5fzRi5l3r20f7B+X/WF9fvyp+eWhadVhEXlmaNyjEtT9asKHYll/pGZet/tlO82fn6a7+68ef3th+71F5+vTjpcuqiuJel8ffyW/OCwXQafFJ3Pfn7ZuYj4uuj5xSGrcoOySuZUXVj5Yf3m2x1pt9vSbjTuH2rKGGs/8qS76Iv+0m+Gzz3tyR+9lt19ZfedawdH2w5erdhcsn8h+Hs56qRW2+sx+wm9r0llf5LoTv4cbJLr3mQynb7uDKWQOX69nPgQp5R/gMADUcAkLSZpgSAqMRO6OSHBXqp16RVLdsX+GdNaoM4DuVmBwQMY7cDkcNZmzQ7MYofuDmjxxsxeyuPI6g/tgcA9EJinAJM3bptC2v0xoyfQWaHBCt3MQNSTOgum0UJRi2u1SJJoNz1jMOCCRIsGp+gzSwIaB7jT6kf5YRHHKrVT5RUNUATJcbiaQRT1cj4ORwBHyGWSIbzSb1QhHJ/kcuuCQ5rC1YwiLAIYCnEsI/CKSqUzYOJowpsYcyGUz1cuwBNXXMyFUFaox4cRVAARGMPSGonWSLiaU7QwgQqHOIXjhBJZEYKYUihGAGcIgACkEMPSBi3/buSs83v3t+cfyt6SNHdWhMVuYwWOoAlE4pCkAVQ5Zw9pClOTgCUhT0OextQCppYIzshrPHhexzOMRUMHml3bs9+X73bJD6/Jdxrk0Rb5YY/8ceNfBy/+YajyaWf2UP2m3rqY9uqo5rORXVUL7tTHDbcnPurb/OTW9pHe9bevJQy1bxtu2fOoM+dJX9mLm+Wf95U8acsdq8+4eylj5FLmUG3m7abdzdXrK04tO3Y6eu+JsJPNsXGHHfNS9XP3S8uyPeam6cOSxdAtUmxKQNXFrXf7j41dK+6/dii7ZHFF1aqausR9x6PmZfn6HbYH5PmFlYXMvzB7Zt6U2Cy/ijNL+ps2j3XtedqV0395V3NVUvPFzTea991tz37QmvvrntJn13KGm1P7mvYMtqU97im4cXH/2Zy1/2vInIQl87IwqxEmyJy4Z06QCcfbJwqTEwdI487Qkz2nx8nELHYnmWaH0xTM3Q+4+wPzFMIeIPhOE98MoW3+ijEuMliAZIAaA6bRKqrwUBQZNxOtMwJWQBodFCTAuwKWBgwOKBVwgcBFBVlG0ewENKmQqTzinDGY2MZycXpIT56ycm5RIlzZq1TGgyBNESxLCK6E4IrzHCG4EiyrpKZwAmAcd5I5njMrZofO3xGpvAqMC/ZhEGIq57omxxIanhBcMYoEzoYKdFoYAYgBgJDiKQYm/I8YnpK0rn4Oj+SVMS35Rz7MO3hwU2JkRLjObAIkAgjDEA4ABCrnrrbzfwJHAZ7GBIbWGXFRDwU9yRtYQccLrgJLSGqQMDfk7pk8eaRDftj1w43L8liP/KvBvw3Vfj90/g+D5U87U7uqVtSdnPXh2TldF6O7axb2Na0dvrb+7s2NNzpX9batGmjbPNC8e7Tt4Je3zn01UPHrnpLP2o48bjr0SWPW3fqDt2vThlv29115v+1SUt2ltYfLI/Mro1LKQpdlWObv189MEeel6qP2Gmdv1e/OjeztOPj4ZumTnpLbndmHT0SXno2tqVufUbYw6nCgT7bDesBqz/b0P+obmGZdkxXYULf2XsfuBx27ey9tO3Mitig/+kzZyq6GlJHWrLtNBz/rKHx+LXekJa27YVfflX13O3Nv1KVVFyeBVzD7GeT+u8icDOd/kUxcEJAoKmRCrQ5qdT8iE7oZkdYw3s80vkKmaFLKs+O+Jp7YREvT5MAs9pfGmEqH0+IFzD6YxZ/1nqrzn67zD2XsU5DRgdys0M0MJSPgRChoAcsDmkUaLeNmxiUTYCUlkGIaAXA0YHDAkriaQgypt5iDg4MD3wrkdNqJJweyzEvTikmrkohxLn9MnneHOEG4kJgLpQg9K9qTzi1KjhsXJXDO3DnlLSlKARIx4zT+6NdEvSTf+bdoAjAExlFIYBBHAxIB5ywBRBBNrLvgOMIpApE4jquACmAkRrIEIxAzgn3ydyQ15h26WpR7cPPGuZEzDVYPQCKcImiGBZgK4ARwcf7sGMsAngUaDmg4TBKhVgclPa41iCYPD6vVw91gNAoGiUyJixqrLJbv9crDHfJwh/z4pvzwqny/QR77t9/fPDZQs+HSyQWN5xa01y1sqZnfXBfT3bpysHddZ8eKztaVt69tvdOxb6wz6z+Gar69deGb/lNfdBR91pL7tCVnrDlzuD5ttDV9tD199Fr6jdZdpyqW7c2Zll8xZ32G19zd4vqjvmtzfSK3iwnpfjV1iaPdRx71FH/eW9rfuP9A3qyisujmpq3HqlbNPRwk7THwKTpxr8GwV++5TVqTPqWtZv295l0DtUlny5dnZEakpIUfLYxprNnV27C/v27PWHPm847ssZaDfVf2dV/ZP9h66MMLu7MOxbyOzNfx9j9HJmSZnyVz0j1z8nEu7L5K5kQF6KcxE0rGyWe8a2Ied+nz/KmTtNI+wSx2YHYAsydm8UXWAOaNIN4nhHsjEJm9gc6KaS1Ia8JEA2RFnNcCigMuDCHoSK0ZakxI9EBaA9TqgIYHPAN4CvA0qeFYreTn779l9dotq9d6+fpMuuCpnDdMJZtFCOC4U5OSYZx76i74hLECxAmFTDiu1oMJPOA4oGYASUCSdFZiAQYwCEmSZjk4LhOBqemXladJGQ1klcswjrkQiKIwNQnUBFATgCUxNYlROEIqXKXCVa+4U+M4QZIU4UI6H3EBwAXgHLZqYeSHxTmNhVmV6Xti35ln9fRktJJSQyYoWmmTAop+KZug4TDRFYiuQHLF3LS4yWkKzBqNolmvM+stbrqIt7z3rljwu6Za+d8/ke/0yUMt8ucfy8+65E/b5JGq3/UXjbXs7q6Lb6heWHthTvPl2Kstqwb71vf2rO7rWnfvxu5HfQcf9+R+f7Pqj4MXvus//XXnsRctuU9bDj1qzRxtTb/TnHq3LeOTruzRtoz6c+tSD4QcL4s6WDA9JtW8ryxsR9HU+Vu1+3LD+tv3jLYd/KQ970FzTt3phLTs6ScrFvW2v19eu3pmlh+5gwdbSGInJyWLvlulpIygqzXrH7WmDNQmnSxfdqQgOrtw2bGyddVVyS01KW3V7w9dSf2sK+9xT97tzuzulszmhtTc4rXzE6eCn2Psf4jMH33O/xyZQKt/7T1zcjaLuXlAgx0zOZSU9aXd0GQyTQ7M7IXc/UhbEGkPIGxToMkLSFYgWRQygUYPWRGxInBhgAtDCjpaNNFaq2T1l+xeyGgEkoBJPJR4TOBoSdRbzD5v+iatit8Uv9rL1+dlPumCnDGNopQQR6pZXpL0RiPBOIGZINO5uuVCKRLsisIdEkUFTpLjEEUBhJwNSRzHaVqxaVLInAiSTjIp4uVv2QUBpEIMzYkizjOAHYdTTUCawCmCIUlc9XKoAEGIq3CIqcD4RijJEpxEG21Synsrb5wtbS7O3psQZ/W0ABIBNQVIFVABSJKQZJ0Lnz++m4jIqIUmLW7Rk1YzbjJArUQbDDqbh5fNy2Ey+hjFM9uS5Dt35Psj8lCP/HBA/tV1+XGn/GmH/Ms2+UHVs/6DnZfX1VQu7GpK6GpNGLyZNHBjw0DvhrGbKU/6M592ZX/Xf+77vnN/6Cr/qqP4i7bcF505n3QcHG3dP9y0f7Qxfawpa6wpa6B296nCReXHo2qqVhSei0o9HpZydOqWA74HcsKaL24cac542lHQfW7H0Zx5Wbkzai/G3ujccbI6LvKQr7hHi+9i+f2iJVU/M82Wmh/RWbthtDm5q2ZDTc2G89WJFdWbSs5sPFO5vb4upa02ZaAx/cmNwieDJ4ZvFPV25dbUp23PifFb4/v/D5mT3//7ZP6UUqVIiAvC5AqQQqZzxsDNiOkMQKsHL21OdM6j0QONXslmx+G0YUZPp+aIbYpiofmK07vJgZm9cIsfbQsi7QG4xQ8YHECyAskD6jwmYiagXQFOYSTLafQGi8P6xhSfKdM8A6eyNhvQSUgnIp2ICRwtaQ0Wq8VumxYSEjJ1qs5sctaBaBKyjFInd4rEMgzL85Kb3mg2EyzrJJMaL9IihCGn0x4gKQVOZW0ScByuZoALDiDEaVqn05stFt5Np1jFOKOlUkj/iSM4IAmAVIAiaFEwuFsYiUcCA1hSOZAmIIUTLjhSJvgQxCmCpkhcNUlfCAN6gxgU7Bc+I2hnQmxt3sGqQ2nrl8/XWwyAVAHeFXEscFFBkibVwsQeNhqf4oKiFmp1yKgFWh64CYS7gbGbaXezYLMafXwtFofRzSipqflT/PoOHZL7b8qPH8h9LfLDfvnhdflhl/xpp/zLtr99WvPrj4pGulL7m7e2N6zru5bY25PQey3hbt+O5/0Zn/fkfN93+j+6P/i6vfjL1sKvrhX8pq/waXfWndZ99zoO3m3KuNeQ9aAh625DRvPZDaXF8+tr4/v7kz9sWX/qwuKs/BlH8iIuVcQP1+9/1pnfeW7r3v1Ts/JCG2qW3+7YXFO/KrYgyLhXEg5oxTTJnqpfmjel8NSCltp1vVeSaqtXNlzZWle/taJ2w5HTcSWVCTX1yY31u6827h/sPDjcnz88cGzo1gf1rTlb8uICNwf/7ydTw0+Q+dqY+ZLM8cipYAl1HkrYxIye0KL4DgVA+xRk9YdWH2jxBiYHMDqA0YEZvZHZn7AEQYsvNPkAgwNobVBnI9ysSGuCGgNgJUC7ApojGN5otIQGhc2NmDczfI5PcIhod0CtBERXKPFQ40qKkuBm5N10nE7LaiVGEnGemyBzYuVVIZNmOUbgWY3g7LiQuDPtpEiltDOx7+6U1ZoIhiQOVBC44LwkeXl6+fr5me02VqclNTymppXLKqSpCaET5w4X6Rw5QgzNSKLObGI1As5zyg0QcqzydzGEI4pRQjrL8yRDQQyDABAAQAh4gZsWHBC7ZP6iBZFLo2Ynr16RlhA/P3Kah6cVaQVMIwCGAggBnIQkC2kGMSxU8xjLA06AghaKOlxrIN30UCsALY8ZeGjSQoMEDTrSaJJsDovDbrWYvAy6VSGhXfvT5IF+ebBLHu2X712X73bKd5vlR63yv3fKT5u/G6u9057eVrehrXFte8vq9isrhts2Pu9O/W1Pzrf95d/2fvD7rtKvO4t+2130m77CZz2HRttTH/fmPGjN+qQ590H9oXsNWb3V2ypPxlSeXXa1ffPoUHpn68aTJ6PPlC1subBhpHH/k/YjV6u3794bfLx0dsul5f3N6y41rEgsCbGkcMx+jklhPPaLa0umlVYtq62Oa6xfV1G7oqp29ZnalSU1MUcqFx6riam8klhdv/nDxuTe5vSB7iNDN06MDZ9pbsnbkhM7c0f4/2IynYJuGl6pzb72njm+q2mYuGQirUlpmSA36wSZyN1vgkzM5o9svtDiDUyewGAHbp7A4AONU5ApALg5gJsncLNjOjvU2ZDWAiUjJugBpwWciHMiy4sOm+eyuQsSYlZGRy20TwkUbHYgCoCjgcBCjUAKIq3RKU8L4lhCcHXGTGbc5ZZ0rkrjNI3TtDJv4CSTIgBDKU8XoiicpAiGcYqD/GhmiKGUcg4j8AaTycNh93jDobdbWa1EsKyTzHGxvJeCQ+MNDAVyQnAlOR6qOWUtE2oEyLkqoz8E64pzvOL8BV2QMsUuuBB+dlt0RMSONfHJievfiYr0e9MR7O8dPsUvMNDu5ecl2j0wjaD8w3CaxWnX8T1yDmNcMZbHeAlJekJnhKKWdNOTRh0yidAo4CYdYTaSRhNttYp2m9lmETiWh1iEu+nu0Vx5dEC+c10euS7f75Mf9chPuuSn1+RHbX++3/zZjaLu+u3t9eubG1Y2XFzS37D6afvur7sOfnb1A3kAACAASURBVNN94vubp/40ePo/+sq+7Cp+0XXkWXfOJz1ZCpnP2gs+uXLkQWPOjcu7Wuo2nqxYeKz07erqFW1XNnReSaw9G3f1YtJn/flPOvMunUlMzQz98MrK/rb45uros+eiNh0P9NzLWnKN5mxdUK7Hzso5JdWLC8vmFFUsyDodVV65pLx6yamGJSX10Scbl51tij/fkNDQkjzSkzfaXzTcd2x0oKKuJmP93uionTP/AZk/7XO8/kwq8DhfuSd96MeTDK/74j86E2Ol8HVi7U4PP57DBadvAqaRMI0WSbpXZaCNmGgAkkGZ0Zk40M0M3czIYIFGCzDagckbs/hDWzB0BGGOKZjDD1kDoLsfMPs4beFN3pjRG7r5QK0ndPMCbnan4ZfWhkQzZPWA4QHFMVodJwgeOn1u4ua2gmOroqN93/JnDDrAshjLYySHSFfECoDlAcVATlAm3ZThO8VzFpEII1UYqUIMiaspyDq7fIAhXj69ag7neMS6QjUHaIaVdMo8A6txRWoC0TihJoELxEhEMAzJ8QQvcW4mwWgitFrEc1DNYRQNcQapSAQJiKkwAICKwBAJcBKQBK5maN6V5DhIUzjNKuUloGYBRQE1iwuCYkCEeB7neEBSQIUghjEI8zcZF82Zsfe9dZeKC3JT3g+bHozzNC+6cjyr12l1Bh1nkJBAAxI5vehdKICTkKQRxSCGxZ1pLY8JPC7qSK2BNZg5o4U1mEk3I5J0UNTSbiKpEyBPA0oFEWBUYMsvpv/Q1Cx/dF0e6pT76+QHV+WxVvnBNXmsR77T+fuPTn85eOyzmzmf3Ei/07Zj4HLi2JXtX3Uf/OPNUvlO1Q8f1f6259SLa8Uvego+6yv8/Oaxx135I1cOftJWONacN3g5o79xf/PlpEuX11VULDp6dGbdhRXDXbtaatc1VieMXEsfak87mjen8HhUZU1MTfXiY/khO9I938ny8MzSi4dFe6ZhcfG0jIvL9p1++91DfvHZAVlnFuaeW3j47ILD5+blX3z7+OWFJ6/Enm3aVNmyr6+ndKD/VFdn6e2+0+2NxdlFSUuT54G/HzD/KTJfLb3+YzJ/Uqf9+4j+18kEWiPQGieYVA6mMznJNDqA2Q+4B0J7IGbzx2y+0H0KcPcFFh/g7g2tPsjdD5p8gMEH03kCgxcwOJyGX252JJoBqwcUBxiOFESa5YI9vUu376o7lLt2yWKfQD/aqAMsC9SuTmVklge8gLE84kXEugKKds5gKdLsCMNIFaScozyAIQCjVF8mJqJY5UDOVWGb4AXIMpCmAMJong0JmjI/ItzsbiQ5BrjggKJxjidFHaERAccBNY0xLCRpDJEYho9vjgFnjwR3tkyVRBfgCOAkRtGTySQFkRRExPOAJAHNcKJWJ+k4mjbybHRwcOp7CbX5uY0lxetXLrd6ewBKBXAMYIBW0zTPIoEBNAIIAypMIfNlBUvNOR3HBB5qBCSKhFbLGAycycQajYRWCzUC4DgkKO4pGEbhuAuGAeAvsWc3rv9Lc538cFgeapEHL8v3O+RPe+XRq/KDm3+9f/nb0fPfjJ76eqTkxa2cJ10Zn3Wkf9WVI985Lz+9Kj/p/G7wwotrxc+785/3FDzrLXjSW3inKeuTtvxP2vLvNGXdbkntbdrR2bzpw9rVp8oWlJyIbG5Y29+xvbo67lj5wqKyRfsyph0rX3DqdHR2TtDOvfaE/R6zD5gdqVp7tikg2x6VF7L2xOyE4oi4/JC1BTN2nFy4t/TtfWVRB85EH61dfqwhrvBSfFbVhgNnNqUUJKUWb80qSW5pLr3de/5SXe72w6v++8n8aTb7c2ROfP5EhPzp98LU9L9E5sSqNBxvYwLJCacSJ5HBAt3MQGsEkgEzmDE3D2B0AJO34vYFrH7A6gPc/YHFB7j7AJsPcvjjtinQ4gvcvIGbJzB5YmanDzwy2pDWAjgnmbRGEgRxpn/A3piVmxYtmxsWprdbMNEVCK5Io1XMM2lJTxtMjNaAC4ohPA5IAqNwpf8OcAxSyKlA56ICDKE8M4ouluJfABgGMBzG8oRGy0o6nOdoUWA1AkbhPt6eO9bEH9y6OXCKLyfygMShekJNy2l5AGkGkjRSkRhAL0WDJmbcEa4k0s5ZIoRDmsE53rkqTdNKwYYUJUBSUM0ZzR5eDk+r0ehnMcXPnpW/c3tVzqG9m9bbvT1wngY4UIZpMYgBFxVwgQCNqxapEECEks1OLs9CUUSSROh0Cpa82cwbjLSkRawroBlMTSrdb0jhJInjGOBVINSkr9y0Vu5tlR/eku90yHevymO98p02ebRLfnxV/rTlh08bvr1f9duPSn/dX/hVT8Hv+07I9y/LL67LT/u+Haj6vKP4RU/Bi97CJ915Y925Q00ZI82Hhi6nt1du76zZ2ndl62Dbju7GjV1NGwpPzM4vmdnQsra8elHSIf93U+07cqaWVMw/fnxm8l77+j2WmDTrtD16x27JL8samOkzLTMgMjt0cUHEqhPzEssXbalYkXoqbnfp8uTymIyqVdl167afWrkoa3HojrcNS4J94mdG715x9tKx4Zt1na1lBwo2/PeROWnK5x+T+eo3fXnD/JEhysRFdFz7558hc5IM9Csx05nBupmdqyGSAXPzwNw8gMEBTN7A7INZfDGLL7T6AKsvcPcB7j7A7o+/EagslwCjFzA6MLOXsi+mTNhiWgvgdZAVoZp3OLzC/Ke8Gz4rKWpB9LTQqBkz/IKmSHYzb/WQbA7BaJHMVrvvFJ/gEIvDk3MzADULSBxQ42TiALio4EtKIa5mcJ6DLAMY53AFLgiQEzCWxwWJ1RlJDf9ymwxhok6aETJ1WlCg0WoiBBao6Ym9LeeEI00pc6oQwyFwCr0jABS/v5cNSpXKqT7jgk8kQRjLIJ4jNTwnioTgqvwuBK3W5w2vEF/fUG/P6GkhaxbOj4mKtDvMAAeAwRGNYzjkWQYDiliRU+kPQQgVB20XUtHjA7wrphEUJkk3PWsysSYTazRybgZG1JIcrwzrKjdwxbIeIEiTOAEBrQJBbq4f7n1f/nhAfnZfvtMpD3fII53yzSvy3avyp73y094fHjT//ta5r3rKftdX/v3N0/L9BvnFTfnfb/15uP6LzmPPOvKeXTvyvKdorDt3oDG9r25/e+X2+pPr2y8k9dVv6ry8vvNK4kDX9tLTUTty/feVTtt5InjVYcfSDMv2oqkZhSFHcoJzc4OzToS9Vxw8O8szaL/ZJ8vTke7tSAsIygydfXhmdE5kbN7CNQUxW0/Er8ldvjRjwTuZb89MjfTaEsrFBcPoYDB/mm7V23P3Jx6rOdHQXHG+8lBq7rr/MpmvwvYvkDnp+76GzFfb3/8qmeP7X4bX3jOdZGqNUOeBuSmjs57A5I2ZfaDFF7krerO+wN0H2PyQI4CwByB3P2DyBiZPBUvg7gksdmi2Qzcz0OgxtUBrdLNDp7/3zqIjq9ef37nn2KZtR7du37J2dVTUnMCwaY7AAL3N0+MNn5DQ8Nnz3g4ODfN4w4sUBcBQgMYBiQAJAQmdRmA4BDhEDK3c9wBDAZLCGBbneFojkYKovCO4GXmD3mj14HRaxNGQpWieZTWuGIVjagJQCGMZJCra6jSmpjEKRxQFVGjyfvOPFKWdf0QQIxGkKZp3pUVBGVrmDXrJZGQkkRF4xJDjxiekh7t52pt+/nZbkN3qYdFzGgYgAEhICwzDM4QLTrsQilS8oicGMYyYIBMnAEkBNYsJPBRFXKsl3fSM0cibzYzBQIoSYp01JwyRQEXgJKWIqThVUTAAAOAYCgGwOMj38ckT8sMR+cGQPNQpD1+VB5vkWy3y/V75lwPy476/3W3+/lbNtzfOfdtXId+pkX/VL395T/7VrT/dqf2so/BJ+5Ff95U+7iu603ao//K+zovJ7VXb+ut39Ddua7iwsqVhQ8PlteUXoveVhMYeMM1P1a4p8E48MSXusGPVXlNalm/1ueia5vgjDcvXnI6Yke1lzvbSZ/lKaf76Xf7GRE/HaodXvI9/QqDvhqmOtcGGVVPYWE9skQd4xw6WTiPjouw7Eqelvx9blJFVdexwecaB/KTUwyv/PyXztQfSP75wOr/sePv7XyLzVVvbV8hUaJy4c2I6k1KbBUa787Zp8oQmH2T2BVYf4O4LrL6K1y1094MWX8zoTGWBZXz2fZxMwHCCm3Fu6Iyt0UvOb095cvrivYrzDYePZG3b+u7yJeGzZ/pPDTE6vM12L9+3goLDps/4xUxP/ym8QY94DjAEIFUYjQiOYgSOYGnEkATLcqIoaLVKywTgBMAJSDMkxyu40rwrJ4qcm87H30dvNWFqErIUYAhA4xiFYzQCNK6UsoHyBNIEwABC+ASJ2E/diiaDikOMwgGJK6Vy3qD3DwwICAzQG40kxxFqCriogAoAktAbdBaTgVPTIkcjBAEEQAUggwMSEjSJ4+jlN8KcWiQvyUROMgHvOkEmazTyBj0tiUqDd3L1WFEYw0mGoFjkQitLbQzLMDg0c/TeRdFfX6ySf/lAHhuUBxrlkQ55pFO+2yPf65Xv98pj1+S7LX8dqvm2r+K7vlPyR5flT/vk/+tj+cXNP925+HnXic+7y572HnvSU3yv/Uh/Q2rt6Q1Vp+LbLiW112+srlldeTHubH3ckQvzlmVYlmWY9p0OSzk1LSbTIzbVdKAwuPZyTH3rupKWVe9VRvpleTCZHswhb3y/F4jXgkgchCE0g8HCBTBLC+aZsYVeTFygLjHckbzYZ0+C795tgRn7wnPSlh3PSj59ZEf+9u0HYpMzF/03kwle12L5+2ROqNS+hszxgdIJ66F/ksyJbUxMNEwGcnI1aIJMzM0DGGzAYANudszojRt9MHdvRQkaswVgFn/M7AMMXsDNDtzs48O0dsxiRyYPpDUBXgc5wWCxhvgFxM+aU7tj3/MztXfKTpfs3JUUGzNv9sygsGl+wVPNnl46i4fRZtfb7V5TAnQ2D0IrIoHB1CRgcFLDGi0Gq81D1Ek078oIPC9JglYraPWizqBM5yGKYjhXXuQ5jSsrcLzIW96whoeH+fj7kBon4YDGAUMRHIWrKaQYztIkpAmltzHJato5fD4RPNGroOIMKblpRaNBMhlpSdRZzKGhoTPCwqw2myBKJEspMpk0z4pakWFpAACmzAUhDCCAkSqAAcXlAcde6tsq35cAGIIIqHAMkdir2Syp07E6PS0KOM9BmlKmiJUIiSEcAABViHRhAEAAI5ALrczE02qKp8hpVvORFcvl9ib5/m15uEO+d1V+eF0evSYPt8p3rsp3r8p3m+Xh2r8Mnvm294PfX/vgu74aeaxLfnb9LyP1LzrLnrQUP+s58aK/7PmN0pHOnJKimK17Qo6eWFR3acPx00vO1K4sr1uRcXp2Yr7flsIph8/Nzj4zM/lEYOqp6YUXoyrrl5+pWZJ6ctbcPG9DukRmGfFMK7bbClYKYJYKTAMgnMGiDGiJF7cq2Lhxlm/KooicddElKfOKUqdl7bHs2mxP2RSWueO9krQteRu3Zy3ffuC/WJt9XXb6nyFzUrx9LZk/0pv9l8mUXtaBXmKpMwHJDHQWoLMANytwswKdDbo5cKMPsHhBpcNpDcAs/sDoBdw8gdYG3KzAaFcG96C7A5k8oGQErMTqjJ5veAe84R3/i8gP92Q+KjnTlpl7cE3CqgXzQ6dN9Qmc4jklwOLw1JksktnCmUyMQYcJHFBTymwN4ijJpPN70yvAz9dgMij+0LiaITlO0Oot7ja9m4ETBJbnJZ1kNBkMRp3OTdIbtDp3Y9DUQM83vUjJFVAIUARkGUDiiCYQQxKKJpgLckrkOSHEcAAJgBFAKdC8fEMAkADwLoTdYJw7Y3pibGzq5k0JcbEBQVN07kaHr6f1DRvNs4pmAqfhDEa9pJNErUirqQkyFQk/Qk3iDKm8HEw2WcGcou0AYipllQySNMawgHcFSkIrSbSknbSbihQyMYQDqBrXKEIA4MiFxUkOIILlRUQTnJoxc+w0g7Z9T7I81CP/ckh+2CM/6JHvXpNHOuV7XfJYl3y3WR6++MPQmR+GKv904/z3/bV/Hmz4dqDmWUvxSF3uWEPRb2588KK/7POBD54OlJ4sj4/b6puUNvXwiflZpQuOnFm8t2TmzuNhO49PS8rx3Vs09VR19Mm6hRVtK061xZ28vKTwZGRcms1zJytlisZCB5FpQbs9xC1WKUbLRDJMtE6/IchzW2RIWkzE4bUhGXH+6TFBWWuDM7f6pW/XbVsvbVnls2tt7NEdiXnrk/NW7D08H7y87P28x97kwunPwjk5laV/cqX8KcM/eeQ15R8KhzShNPcIllYOyTEKnIRGsUPW4oKE8RLGS8qStFL7eRkhJfNPmVSS21cun1oL0FmAwQMYPZRtacwaBG3BmDUImP2AwYG5eWA6O270Qsp2tdmOm63QzYiJOs5oM5o9/CymHfOjujNy+g/lndy0NWXJoqi5EWHTg/0CfT08bZLZJBgNtCQCBmckHpAqTE1AliR5mhU5Xst5eVs9LVZJEkmGAjhUrLsEjavVaLC46SWBFzjW32EP8vby9/YKC5pqNpnNNsvsX8zwneKLS65ATQCKwGka4gRiWEhTJEsTNDE5YcWdzpmAwFUTjn3YeMAUEJjm7jHD0zMlNq6v9IORi7WftXU8aGw6nJzs6+cDWQZXUyRLK3kwpJDOTSIZUtC4sgwFAEBKjQcAgDBBwwsanqBJhBT/z4ngjEFF7VbRInKhIc1AToCiFmolXJJwniNY2rlng3Bl1RtBhCDCACQwhAMVxFQYVAHVeFOHZgDN8BpR4gQz5xoTMuVuSa480il/PiQ/uimPdskfd8ojnfLdTnmsVb7f8Lc7lX+8cUoevSzfa/1NR+Xts9ldpXsGzuz5TXvR1zfP/Kbv1Nc3z3zSWdhcvSP18Jx3tjviM4OS8qavSQ+O2miP3uKzPTdyZ+7MLelTCk/Mqbuwortzx6XWjbtPz3kn1+6zm7HupEIP28ILggIOB1r2+5l3+3ulBHtuDw7ePXtp4fp5xZtCstf6p6+wbJ1jTozw2xm9qCglsmCfz/51wvp5nlvnv5MZt+P4hn3H47NOxIGfo/GfjZz06yLeayPqT2s//8QddeKq+aOASQiuCpm4ICFenCBTgXNys2TihvnTCpCzDuTE2Owk02QFFi9g9YP2QMwejFmDMIsvMDgwNxvQ2qCbAxjtwOCBGczQzQwlPeBFwEo6gynkDfvuRQsbUlJrd6YcjI1bGxkeHhrk7+dpd3iYLSZRp2M1As274moG0QRAGM6QOEMQapJhaUQihqVZhkZIBSAACCISIRIxNCkJrjrBlVfTHEPMCwnesSJme1zce0uXRUwLCXxrStyyxfPnz7N42zGBw9Q0I/A4qQgOEIjEEXrFXxMDAAdAr+EtbjqGJidCJQYACUCY3SN/9eqq5JTugqKv2q7+afD29x/d+qq3tybvSPi0EFxN8ZJgNhtpNQUQBiBgOYZkSL1OYjlG+VKEmgIqDJG4KAo6jcCpOZqinTsomEK0k0xFIgwnGVzNIZ6HohaKItQI41di+NI4dJxMiKlwDJtEJqFonSgdV1YjiRrJKEoBZkPa8vlj5Tny2HX54aA8dlMeuy4/vC6PdshjrfKnbfJI3Q8fXfz+RuWfBv/ti7ZT7cd3Vx/aMHw2468f1f31XvPvbp7/qr/iec+xO22HqirXJ2VOj9kTsD57RtLhme/umTrzPdu7u4KKTq6oPBd/vHB+Q+Xa7pZdDU3b0k4uWJTp7b+DC95veLc0NOHU7NjjsyOywyIypi/LX5hwfNV7pRt3ntuXVJcz++jm4LQ4x+Y5ARtnz927fH1JypqyjGmHNli3LAjcsSAmc8Xe0sQDpeuyylf/C2T+/U94RQzu72S8/4jMH7M96Ys7dY15DhdcCQ1PihIpSoRGO643KwHhx3Aq0wWvLcyOR9RJS5uvkOkLbAGYPRizBUCLL270wg0OBUvMzQa0ZqA1YqIOcCKgXQHJGs3m2UEBKUsWHVuzLmNpzNqI8PlBfiFTfDzMRp1W0kk6QRBJmsFJCrmQOEVAF4TjTnm6H/Gj/D9WnAhYGve1mt+NnLV+/pxVkRF742JKk3eU7t51cGNS/MLo4JCgqDlzImbNtPr5QI0roEmaF3CahTgFFZvNSaZEyptREGYGBc8MmarTis5AiiAOQKjVenTN2gelH3xzufG79s6/3Rj8rqvnm+7O2+dOH9mxLXiKH86QRpNhdljosjlzfN+wK1ac0EXlsFocdg9OwxFqUtSKkMKhC2LUHKfmaBeKQASuwp0qfOM1JoVMHCdwmnaSqREwgYcsA0kSw1VOc8FJLyjKH9FEjQqDikQ1wGnMhcHVHMG68pLObDKLPBfgrs9euexPrQ3yL+/JT0bkB/3y43557Ko82iL/sl9+2Cs/vynfbZIfdvx5uP72uYyrRclfNJbLvxyUx679vu/il9fKPu869qy34EZLWlbR4qXb/VOLY6ob91TU7ViTGhG/O+z8ha03mg9eOr25+czmzto9LfX7yivXby+Y/U6aZ2xeYGrV4tJLcUUX49MqVu4rX11Y835FS3Z5c/6RKwVx5zKCMxMi0tdG7l6+Ki02KSt+VfrKqJSYsPTYoOT5M3fNj9m/aG9RQvappOyzif8UmT8XQn+E5evJfC2c/0TUxZStiNeRiXiO0IgKmUgUoSApcDo3S8bhhJJxMpkToz+v3DyV7RONHmiMQGsGBg/MZAMWT2D1BnZ/zB6I2QKQux9h8qYNXrjJExkdmJsN01qgZISCFjA8IBlAcRazZe7UgKT5kVvnzVsVFhozbeo7wf4hb3r52MwOs8luMkmCSLiQUIUABkiSQEg1gQuOIFJhGKboAbxCqFUrrp8/51JmWtfRI41ZGWd27Ti1c1v1gbRTafu3rowLCg7W262cxci7mzCBA+T4IIEz/XMGSRwAAgASYJKajQyaunVFXEzU20aTHtE4Q5M4rhJciMTIOd1Z2c/PnPv2SpPc1yd/dPsv3deGTpce3bZx0ezpVncDwzNGk2HRrFn529+PmTuH41mgAhzPRkwNfmdWRIC/j2TSGUwGnCGBSqVoZypOY4ruwWQzJEUkHlfhkCQRQyvTP1DNYRQ5UTSaXDealAxPfvFSJORJoKJwmkW0Ky5IOotN0Gr1org4KLgz/aD88J787JE8dl1+2CM/uibfaZEf9svPRuV/H5KfXpd/dV2+2/BVR/mXrad+GGiSn43In96Sh1v+PFDzH/2nft1ffK8r5+zphPf2TD+YGzPYV3xjsKS8OvlYxaa6i6ldl3O66nKunt7Xcnp/y8XM5vrMytpt2SeXZ1UsKalb39ywqbkx+VL9nrpLqY1NuY3tJyqairNr8xaV7/PfuzIyfd2y1LiMgs0lJ5P35q5dkxoTsTd6XsqC6J1vR74X9u6ueVvy4naWrfvPkPmSnElkKqmm8uDr89KfI/PV2PijzHnykNAkMhXDTBGXJCSKSKNF48L+QBAxZ8x0yljiOvPkg7SmCYkDJ5POTRQjkMyYm0Kml0ImsPsDqx8y++IGT9LNE+psmFZZmLZAjQFxEsa4QoojWdHubnlnWlDinJmrwkIWvxWwKiwkNjRwXmhQ/PzI7bHL4+bO87FaCRccIRXhggSOY2gK+2nXYvyNxgHjAggVCPO2H9uc1Ft0pCs/+2p2Zt3eXZW7t98oKR6s+CB32+bQsBBGJwCWRloBcAygSYyiASIwABGE0GlkABmVioYqASf9rLbERUvSNiRGzpjOalx5kZckEaqghedz49c+O1357ZUrf2lr+6Gj43eX6z67cK7l6KGS5K3vzp3pYdGzAqs36MKDg3esXBU9Y4bFTednt80ODl67cOH6ZUsiI2bYfewe7maSpQEEEz8YHHd1eNWmDFPgBFCFuRDOjROSBiqkfBzHMPSzz81LNAFQKbdmiFOIdgVqVyTpODeT2eQRYLGvD3/7i5oq+cFd+ckd+eF1+VGf/PFVeaRH/uVd+VG//Gmf/HHD73sr/jpcK9/vkEeuyY+H5bGb8v0u+V6HPNrw5ztVf/j49Cf9BfU1286cSGi5klHTeLDo3K6MwqSs3KTq0wc7608M1BU1VBysKUtvrsnuasltad5/6fKOhobkq7XvN1ftaq5Ou1qb3Vmf31hfeLw6d/epjLl5G0P2xi07nLTp8MbzFzJ724pqqtPzy7bHpi6ev3X27ISwgCXe/kt9pq0NeSd1/n+ezJ/LZl9/Kf2nyXyl2qRmJzyPlePc/xpXG8ElSYETiiIURSA4d/zQq4bTPyXTOR6k7IUJynaYSSFz3OzEB7P5AqsPsHgBgxcmOZDGDngT4E2YYMQEPcZLUC0QaoHhJC+bT3hgYOL8yAOxi7fMnrkqJDjhF9NjQqasnRd+dNP6+qzMoxuTwt/0o5GKVAGRIQ2iILDM5FCg5ym7m2BkKR2Ne7qJi6YFx8+esWz61AMrY26XHBs7U371cEZ7Vlpb+r5Le3cNl5eOVV04m5EeHBzIGSSoYQFHAUqFqWmcpgFUAQAUjxEMAwJNCTTF4DhPUX42a8I7C9cuXGRxNwMSiVpRJ+kABoPcrZf2pv2hqflvnVf/1NL8ZU1V5Y7NqcsXnk/f03m8KHtLktcbNoxEFpMxasaMxb+YGejp6WuzromK2rJ02aalyzbFxMQvWTgzPEyvk3AKn4wUAhABqMwYKd5jEy5kmEIwVEGcQC40dNZdX+ILXh2E+GnrFQIMApXiIYEoBlA0YDhCo7VavTzcrP4W7+y4uG/q6+Rnj+Qnw/LDAflen3znmjx2W/7VHflh3+97Kl80Ff8wfFm+1/J9b81fbl7+21CTfK9TvndNvtfxt49rv71z7rcfl31yI6f2bOLhkpX7yhJ3FiVFrJ4Zk7CgufrEaNflu91VH1YVHcvfffJ4SvulnMHWWkC9GgAAIABJREFU3IGWrKG27O6afY0VyY2n9nRfyBq4lNfVUHD+Ul72ucw1eZsSjm7Lrswuv5jT1/nBSM+phtqsYyXb47YvCFnkF7LIL3jJFPsCT2meLei9iH/2nvn6BPUncE6EuH8A5+vI/NEkEGSZyUxOOCYo+1+K1bFy4KtkIklH6AyEzoheuoCZJgfPCTgnyIQaw0syDR6E2UvRbld2wTCdHYp2KNiA2gDUOsDqJxYyaU6StKaIwGnvRsw6sn513Z7k4wnxWcuWZMcu2TonfFNUxMG4ZaWbEg/Hr1o6NchPp/MUXX11oo+bzkunlSgkuUCHhps/xS9rZeyZ7VszVsTujF6QmxDfdfTIwIniD7My7pQUy/19P/R1vaiufFReMpBz6MP9Kb0FeV3Fx4qSd/n4OBjJlRBZoMaBC4YYEpGKkzRQsmUcVxm1kkESaReCxEmDKMwOnhr2ViAv8qzG1epuNegMhAs57Q37mZ3v3ysv+XXt+S9qKh+cLtsaPWduoM/ehFWdpSV1eXmL50QimvAwmxIWLV4UHq7XSXaTcc2ceXGzZi+bEb5l2fLk+Phl8+exagJT/RgjDAACQgQVZ0E0AeeEOwNCOI4TCOGKhRmmxEJlYEiFQZUzr52c3U74hqIJLXmIA5xQtEsMFrvOzWIweMxwWM9u3iQP3pSffyo/HJLHBuXRXnnspvz8jvy4/y+D9b/rOvPD8OW/DtU8uZRz5/S+b7pPy3db5bEe+eOO33edHruUPtqYMtr+/pGT0bGHwmKPxrxXtDVwaXj00rdvXDz95cDV2zdrmps+KCpOzc/dXn82feBKzkhT9qOOguGmQ30XM25fzHlwOf+TK/ljrUX9HcdqG4/U1uU3NJa0d52/2nH6dndl75VjDRcOnS1LTdq0KGiOd/jSadHvLZi2KsK+PGR+ysr/VAVoHLCXPZLXOWH+LJmvvYi+2rccX9TkFBPViaMksVCQJgLmZDIxXoSiFtfqFTLxcTh/jkxMNEDN+JHME40T5GZHRoci3gUMDoVMpLHjrAmyesjqASMCkgUkQ3OS3mgOezMo7hezTm3ddPtobueBtA/37GlP21+RmJC6cM6miLBNEdNT5r+9b0F08ty3N0WErw0NiZs69b3w8Ji3Ahf7+yaGTy9fn/BJWfk3l+rvnSzvPHzoTnnpd9c6v2ltGTlZ8llVpXxnWL778V+7O7+uuTiUn9uZmd5XUFiVnr4pJsbX20byJOIJjCMBg0MGBxBAFQQIIhIHKkAypMNqsVpMJEMhhPMUGWB3+DjsRpMhwNcv9K1gT4tVL2qtkuuWd+ad37X16/qaP15ruXe6bFHolCBvy7sLompycrtOVuTueN9sMut12qQlyxb/IoKgCcIFhbzhGWDxCH3Da9OSJbtXr54XPh13cdZ5cATgpEshqVIRCOE4coohvFSaBhBguAon0EsyAQYAjgGkGJHBn5aXJ8Yk8PHjDLYYxGka0gyn1dMaHSsZPEXXuKlBv6utkZ8/kx+OymO35PvX5ae35cc35ae35KeD8oMu+dE1eazpsys5LQVrRy7s/+ONKnn0qjzc8WXzB/2ntg7WJj3uTj7flbDm5LywQ2/PTV/pGRUWPmt6S3HBV92tV3vPtV2rPHXmSGFBSv3ZzBuXsocvZz1uLXzUUfBJW+Gvr5V/3VH6RVPei478R73H+rryBxtODHecG+6rvd1z8fa1cx9W5lw6dbCmLDN3b+LS2Jmx7y2M37Vq7qbFc7fF7is/BJRJf6BmAUn8fTJ/3G/8uyMKr4+xPxswiVfSYIadfJTl3QnHBCDwgHdFGi0h6QlJjzRaKGqRJOE6EWpckSjioo7UGmmDmTaYJ8HpDJ5QMkPJjIkmKHoA3gA0RqeUnmgCogkTTZhogkYLMnlgOhPQGDHRhGksgDNivIWUbDqzt+hmY3gdwGmIE54Wy8zAoBlv+MRODTu/ZfO9oqLb2VndaakDObm38wsbkt8/vGzx3gXzCuNXXdq1ayAndyAntyF5V2nCutKEdUdWxB5cuvjMxo13i4/9/nLDt1eavqyuen7u9B+ar8g3uuSB639obXxx8cJ3rW1/6b4mf3T7T50dd8tO9OUfaTmcfWBtQnhwsNVi4jQcZHCcJXGWxEiVomfr7IhSiNOJFruHh7tZEniGJFmG9bRYLW56lmM93M2+Pj5Wm81gsvAc5WvRHl674tvWK/LN688unk9atHDetNAtMSv3rtlQuj81e9t2rzfsHM9FTp06OzhY4lwRhCxFeZktMwOD4iLnxUTMDnR4OrHEVSSJTwQ3JzwAABcVw7NQBQmEoAoCFUbiOABgQuxL6RhBF6SUiUiSIGjSqdYHMQAAfOmCBCBQBvygEjOV94EKYWoalyRSa6BFg1kjBBqN1Vs2ySN35Cf35bFB+fEt+fnHzvPLW/Kz2/L/uSf/+8AXrcWXcuJb8jY8qz8iP+iQH179pq30zpnkwaptn/VmdXbvT7u4YcbhFYYNi9npEVHRK6sLCtrPFJ2pO1h/pbihprDrUkF/3cEbF/ffazoy1nTscU/l85s1n/VWPu499Wzg1CeDpaMDRWPDxwa7SruaCy/V5VbXF1RcLjpcnpFVkFZxquBIdnrc2pjIZbN85wXpZnnPSFxyvOYDMDFVDDnX/yky//4lk6F+jkyo5pSjWAxNkAk1witkagSoEZDIM1qJ0CqPGwidkRg3OJnkd2JSsHTypjFi4wqXCplOmzBRj+lMmGgAvB7wBkww4xoP1s3TbPMPnDIjNCg89K3QIE//sDf9ExdEH1674UDMysMr49tSU5+WljwoKhzNPzJWXDxaVHy3sLAzLfXDPbs7D6QNH817crL8SVnZUG5u+/59XelpV1P3f7h7V/eB9MelpX+4dPmvrW1fVl/46mLVDz1X5dEh+eNb37Y3P6s889Xlf5NvXJdHPv6hp2u09FjVrvez1sTHzJrl5+mp10kkSwFKhdQEUhPKmhWGQ0jhwEWFqUlOJ0omvagVGZoiECJcSLvJ4uXu4WW3hYdMDQ2eajR78JJOFBirjt8aPedZ1Zk/d199cPb0mqh5EW8FhU4J8vf0CQ0KjPpFuNVqgS5I5DlJcFWIYinK190a6PD0t9ntBiNLUTRFMDQJxpNPAjrXWZQ3Qk0KEq98CKowAAGBEO1CQAxjKSrMf8qW2BU7V68O8PNFSKVgjZEIZ0haTZMk4Ux0ncBjCChG2QqtmNOIBaoAQ0GNQEh6UqPX8byF596bMe13VWfk+x/Lj4blBwPys2H5xaj8bFj+9Kb89Jb81X3581tfXytrKdxQsXfRyIU0+V6z/KjzbwMXv2or+uRK2qPWjPbWPYerdkxLX8HGRZsXxG7febC98kJ7dUl9Y25jfX5LTf5IU8mj5vyR+swHLfkP2k4MtZY+6q18erP2bveFwbZznU1nmq+cb266eKmu4mRFQfbx9B2Hd0TvWmlcEGCe4zM7PjJmQ2zC1viI5TOZt4x8hGfYxiUHTuUDkuMhzQCKBvTP9Dx+suL8P0omZBmo5v4hmbiomyATFwRccMUFV1IUSFFAGi3SjJtnag2KjcJ4QchJJtAYgWB2hkRFFVoyA40RCAbAGwDNY4IeiWbIGzHOAFk9qTFLJi+r3T8seMb8X8yLmxO9ft7CvctXnN+5uyv7SNXO3XXJu4fzjnxeceqzshPPT5Z/XX3xq6qq31ZVPSkru3P0yFB+7tiJ4iflpfeKCweyMrvT9t/JzRkrLBjJy72dnXUnN+dpacnvqqu+b6yXr3XIHw/JD0bkB3flvmuPKsp6cw99d61THrr1x87Oq9lZOxctnBcUGOjp6eOwsxyLaELx5IM0AXAIEOY0OKEJRuB4N4mXBEJNKWqUtAtlkCSzThfs57d+2bJlUfMt7jac4yXB1SC6Lg0L7sw79MXl2s78vMjgYIfZLAii4vNlNhutFjMi8cmBi2eYALvD02RmSFLpN+pFwe5unhg8wJxFIECqoMhzXm/YAv18ODVNuCDCBQEESBxXZPj8HY6jO5KHq2qed3albdmMSGcZiWRpq9Xi4W5mWGZSzwRTrpU4UEEnreNkYhCQBOBdoSDhvNZusli12gA3bc3mjfK1Fvn+bXmkR35wXX46JD+6Kd/tkj+9Kf+fe/L/Pfxd/7m+8u1FO+cNnt715+Fa+UGLfK9Jvnv525sfvOg4Mth86FTNwRm71oJ5Ufp58XFb0ouKCk+ezK6qTmu8eKi/Nvdp07HPWvIfN+U8bi8abT820Fba11bW3frBh5c/OHW6/ODRsvdSiqI2ZEfG75m3Zk9kwi7/2NUey5eA0AAwxY7ecjiigqctC7dE+IA3BSLMposOXZa6DSgi3z/b63+d8sDky+F/L5nOG+Y4kK8lE1O60oKENFplNA/xPM5zOM+QGufIHtJoMY0WjgP5L5DJGwBvAIyA8TrEGQCjxWgtRosMbzCa7IFvBs0ODV80I3LtnAW7l8YcW5/Ykprefyi3bseuht27h3Jzn58s//XpD765ePHPjY3fNVz5c2Pj1xerxo4X9WZltKfuad6zqy3l/e7UlNvZmc9Pln557vRn5SV3j+YOZKUPHT74+ETRX5quyP198kcD8q3r8p0Bue/aQEFuVtySxsz0z2ouvqirPZucvDQs1Mti1mlFXuRJllbIHN/whACHgESQwnE1xWpcOZEnWRogqGxFkjjO0TRDU36enmsWLZo/a7bgZkSsQNAkTRGeRmlL9NvHt2zcsXSJyLFKKMJJimQohmUYmpoIhkr+yVKUw2jSC4LzMonjRq3kafPQ6yQMf4kRAUCww5G4aHFKwrpFkbOU8XeAAeACGYrAEeTU9Kp5b3efPPVFZ883Q8PZKbuR8iqDQ4NRHxYcFOTvxwqcEjNf/hMAQpPS25e2gjgCahbjRcRJeq3RLGktPLd2+tSxolz5/i3502H58ZB877o82iuP9siP+uXf3Jf/n/vyx/Uj5/ZVZcYMV+37j8Fzf/m4Rh65LH/aJt+v/+NH57+6dbGr9YOolE0gYj4MX+GITngncePuvH0VFfs76448bj3xornwaf2h522FT3vKB1uKWppLj5Wn7j60+b3UpNhd2xdv2x+ZmBW0Ml2cEev1zobwhOSZm7ctTtsTlBiniw7DQz25sP+XujePiurK97733rUPZ6pzOKfOqSpqCpNMASEgLBUjASWOOIETapwiitLiPOFAHFCcJYJGFIWAoBFEgyi0Y5yXBmNirunOG2/6Sb/J7b7dt/vt+/RdT6971+16/9inTp0q0CT9Ps8fr2uvBKGgivJ8zm/6/n4/D4gXQbyI37CDVKeYm7agYiMg44ZJd2zvnGpvLF8tBuob2peQafhRP4lMKEs6mdr6d1GGvAB4lrQ+YZGlZYFTrZxqpxSyN8FG1vVpw7tUJ9RdVh+Z2lRo1Q0sTig7oehgLE5edXOym5PdkuKWVZfbFZkQkzAxZ+SsUXlTst+eMuStRbmj9s6c07Zy7YU165uXLWteWtK5ft3n+/b89tixfz99+i9NjS+OHv3q/cMPdlY0Ll28buyIgjcSJiZFbxiV89HS4l8f2v8fzY1/O9P8Q+3Rrw7ufbBty83N6x/uKH9RU/Wf5854O9r+frHVe7n9L63NXds2b5o87mDxgruHDlzbt3dJXl6U06FIoiiJmKMpnsEcjVhKa+xkMOBpJLCQpYjYmOIZ4MugQB8/HMu4nY70lP5ujwcwLCUqFMfRHIMxcspialREtMvpM06IYzmbRRZ4TrdWemQIAeAZ3wp4ACiTiRc4URIkWeQFDlI+agCYmDmkfuOWqrVrM97oD0xA4FmKpfRG6mi3a1FBQVd1zeOWs9dOnsqfkIc4GjAYMtjusGW8kZyalKjYVMTRyAShJluAAJggQLrN1ANOgDHgeSDKWFQl1WZTbdFh9mSn7b3J4703Or3PH3qf3vLe7/Q+/qX3sxveZ7e8/+NT7789937Z+evT2z/e9+7dU2u+vbLn99cO/a9btd6eM97PWr1ftHn/qePre+eKK8qYkRPB4IlU5sSYiVPnl5d91HDwxtmqrztqvj2/56szO15crvm862h7S0XNqb3Fm4vHLJo0fOGk4cXTJ6xcvGTnrk01tWsPrNn8/voDDdtq2ioPXtg+8b3x9okeMJhm0lQQw4B+HIgLBTGyZ0L2qvf3AsgytCCQCW591iT/EThfocLzfTLwp/08MoGsAFEG5lDACYBhAYX1bB3iaMYicaqdVh2kqknZnChgyoGfTGObGFQcULYj2U5Jdsnmdnri4uPTM9OycwbnZqVnZaYNzMoYNG98/tLJhTNzR44ZkFGYOaRi2ozm0hWNS0o/mD+3vnhh5/p1j3fvfl5V9dX7h5/u33+vYsfV8vLji4tKR+ZkR7sTJCY7wlExaezNLWVfHtjz58b6P9bXfXVo/5PdFTe3lHWuXXFt47qeyh1/OHXiv9vOeS9f9HZd+tPZxp6ag+2b13fv3vX5idrmjZuHpiRDBGmOkVWZlwQy14vMENJolHjKIkAzgzgashQIMelOINYdQRMUJdHtdnKSDCgWCQothIqyjEIwgIAJwVwIjUyI53iG4yEySTwv8TwCAEGIDZNlg/5ghNxOR2xU5KC01PSU/jarihmKDqEok6ngzSF7l5cumDopIsqVmdZ/07w5+bnZtJliWBMAIMJlK8jNXTd/fvH06bnZWVjmtVeOIW1mHU57RITH4bTLVkUbXKIRH7DKHgNEEROKTIDTyJSdHluYJ8oTYRf5kUkxL2oPe3s+8T7q9t695P30qveLT7xPb3p/dc/7r194v7n1547DN2uW3DxW2nO27Ncd2/94/aD3Yb3302bvs/Peby56/+X2hauNA5csBjkTQeb4qPFzisr3NBw7evL9iqv1u5607nnaduDppdru1kMffLBp5triCUtnF64r3nBwS8WJyp21O/aerKxp2t/eWdHZvaeja9flO3s7H1YdaF07YmW2c6yL6s+pA6zc6zKIEZnBcanzp87ctQV4XgtXXU6GtK4HVhT/cTj/d5OJxNAAm2lRoaQAcyhgBcCwIMQEKQRDAOQQJ/NSmE12ugSHmxRO6DAXNkwGIliSDJA25FJXHUg2KNkoyS6HeaL7JQ8ZmDt11LR5k96ZPnpSXvawcdnZxZOmrps1f9H4SdOHZi8ZM6564eL6ktLy/IIVubl7ZxReWLfuQeXuT3bsaF+7tmX58pbly9+f9+7SUW+PeD02KSw0w6UuyRny0YrSx7sqHu+q+O6Do99UH360c8fNLZtal/2isbjo8ro1j/dUfn/yxO8b6v7jXMt/d5z/U+uZZx/UfFS+vmHd6paNGzfNnJXaL5bmGE4QOZGHDCZrDsjUWbIaiJJDgSQggcU8AxkMTBAiqItO9YZMhmdUmyqoNihIgAsFFId5AVAUQCZSDoXIRMqMQKtiaD9BN78YoSA9AGUyJcfHTRkxoqSwcOroUYnxsaIkSoLgtFpz0lLmTBg7cWTO6JwhK2YVNmwtX1o41eG2AgAYFg7qnzAvb0zeW1kOp50RecBpWJLN9gAjQRRUmyoqkk81RYQKZN+R9ikEIEXaTyECLIdEGUoqrTo41S4rNpscGhsm1ZXM9V6/6P3itvdBl/dht/fJDe+nV7093d5/fuD957ve+y3ft+/qOb32XtOKntZ133fv+tud6v+4UfPXG0f/+rTG+/tLT75sn7JjNZM3Cb5V4By9YNziigVL1xeVFFcfWN/VvOvG2UNXW4/W1GwtKXu3YMWC4q1lu+uOtXV2XL56pfHM8X1Htu59v6z74v6nt+puXj50+fLBzms1bd3HCjfMkIZGwUSTOtDK9Je4DE/a/EmzD24tOXUErFu0MG/U2/YIF+Cp//1kvqTh69VkYiGUnN5kkhn7SLFCSYGCBDgecTzFMwzP8DzldFkjojzRcbERMXHqa1FBVROk2qHi0MlESjipbZI560C2AcmGRRsWbTZXZHS/5PTUrNFD8/JHTBqXM2r0W1kTc4etnTl3Z3Fp2ay5q6dOryr+xcdbth0vWVY4eNCU1ORVo0bUL1lyrXx758Ytxxcu3jlt6raC/OLc3CkZ6cNfj8mMdI/uH1s5Y+q19zbfrdjWU7nrRU31lwf2335vS8ealUfnzDpYOLV12S8e79799ZHqh5UVDyu3/+ZE7XeNpy7v3Lp8Ut6sYUOnZg/JSIiVBAERITjPAAYDStu6R/a9Y7Jc1MyS4QaklQwYxhcQtBACDM9wIk9LMhJlwIqIFSEjAEyTIXoAQF/VEQAA9V0JyPftJKdq3KFA/jjCbOOys2eNH5czeFBMdKQoiSgEK1JorMc5YsjAJTOmrp4/e0z2kPT+8R63jZGYpPiIsndndx082LFv7+zRY3iB00aTYQgwJDacvAJO5CFr7CeFCFIImvomk2HJ9FrO5pHCPIwoecLsKk/NHpL6h4Zq72e3vI+vex90eR/f8D7q9j685P3qlve3D72/+qX3n9r/fO1gz7m1D84sf3Fpy5+u7fmmrfxp48bb5xfeu7HpePumrDXT6LxR8K0CnD7ZOXRBYs603KmF+/aVtbXsbT29/2xTVVnFmtw5YxZsXV1ec2Dvsbp1lYcKl63JKijImjSiYPa4xqMrH3QcvHlh9+2uwx1Xqto6qwtXTXPmxPEZouNNB5OmckMiM0tnlJ2v332rEyyaNSM1LU1xOqCZIz272vRu335VsnK4b/HAz/Jp+/qM9gN7Kde1p+NDkVlCooxEGZAx3oqVstqJAAgrEhA4wGJGYD1htuToqOGDBo0bljNu+NtDMzOTUlLtkTFMmJOyOXU5AZTtQLIByQFlJ1bcZMg6ZXXQNge0qEAIBYJMqw4pzGNzR0XFJCUmpiW8npKUlDY8M2f62IkrZs2tLFlRsXjZ2plzD5Qs/7hiz/EV6+YPH1X4Vs66ydOPLl3WtGZNzeLFZdOmLhj19vS3sgqHDhkxIDmlX2RClCc3PWV1wfj6pYsvb1jfvWVTz/69j/bsvvbelssby5pKS2rmzzm+aEH7xtU3K7e3rFtZXVzUXl7evauyct7c/MyBmf2Tk6KjHWE2URIZs0BW5SKO9U9wZinKzJJpQICn/QbTh5NR5gYAACZMhuIBUQa8tr4BhBBjhSDqQ01uNI/YBLEJIhTQEQIAwNhEc0z4a+7YflGCLGoDx0wQhWCH0z5l9Kjda9YsnTPb4XIABBxhtikjh7VU7PrNhUtdVdUzx4xVFFnvStHmBhmeFwUYbYSRQZzgewx5FQCzgBeBqGBREMMcWFIEixrhdCbYpPrF73pvXvE+feTtueXtue692+G9+7G3p9v79U3vD/e8v33k/VX7n25WPjpX+s3Nyr/dPvx18+qOM+8eqBu5tz5/UWWee1ISfDMDZIzEA6aBxAI6bkx6wfjK2i1NrceazzY0thxdUv6LzNmTS3dXl+6qyZ6/xD1sJI7PEmImOhLGDBk+pq5886OmY1112xur17U3H9i5f1362GQhiRETTOoboXyqSr0ZPfy9X1T33Gj7lxcgIi6KVkQksIDF+qKo3pAEK1p/bkq2LzJ7Z5t6kSkQg+m3mWTqodVKW61YkbAk8rLodNhTY2JyUlKm5749a+zYwrFj84blZg4eEpXQn3e6oWKDsl0/hExkcWHFja0ebHXRNidtcwBZAWYRiApnc0muCNkdafdEO16Lsb8WFR4Vl5Y6cPSwUQWj8ooKCudPmjYhO3fKsBGlU2esnj57/piJSycWbJ4198CikoOLl2yfO3dVQcG8kaMKsrOnDB2ak5aWEhOT0C9qUGL8xMEZpaNHVEzNb1q17NrObdd2bmvfuO6j9auPLy3eVliwIT9vW2HBztkzNk2dvDq/YHPhjBX5+QVvDhmRlhodEe502CU5lDaz2jBYjgEcQ5r9yd4uyszrZEJWM5i6tYRBcCKAGAYLoVAQgVnfuUDrZILe3+LDo1fHmtalhSCkKAwwUm1qdFQEL4tkJhApSwIKRUdHLppRuLmkZExOti3MKshiSkJc3ltZs/PyxmW/FRsVyQs8CsFkEgIdQqmyRKyu8Yn0WwtlYiiKRiYUBDAAEGAa8qFQUihVpRQbJaui1SlJcoRFLBk29Ifaw95Ht7w9t7wPOr33PvY+6vI+vuLt6fA+6/B+dd37TYf3yfGvO8qeXS7/640DLy6s/ej83PfqR204MXH0mix6aAzMyARJuY6Rxe7RS6Lemj5w6qQNB9bW1B+sbThyoHb3rPWlBWvL5m09lDhtMUjKBG9kiSl5UnyBHJmTOCBz7/qSrg92NR1YsX3j3LUbitLzhqA4GUQySprMJ4movwwHR6SvmX3gYXf7H/9vADgTYBA0M4DFRvaMc7H+ETL7bMt8OZl93g50Msnobm2Gv6IgiwxlEYkCLYeqNjX2tfDMhIQRb6RNHDqkcMSI6aNGjskZNnDg4PC4RDrMBSxWINkCj49MxU2pLtrmpKx2IMmAF6Gk8mFuR794e2Ss4okSHB7G6uTDXJ7ouOQ30hNeTxmYnjlkUFby66kRkdEx/eJSklIGpWZkp2dOHzlu7cy5780rWj191syRo4anZ6QmJI1+c+iQtLTUpMTk1+OT4mLSoiNzEqKnpKWsyh+3t2jugUXvVs6fTf67fOLYOcOzZr81dPrgzILBQwoys0YOyEiJjon3hCf3iyGzfziRJy6M/0bGaAfzAmXm9V4fbS6mxqAGWECjJgQgxATNHFlSCs0c4ljIYEiZkAmRPSWgF9WoLzKhbx0YjWmGoQECkiLFx0Q7XA6yoYgROFmViVWP6ReV/kay2+OizSwvCbzAcWaW5xiGoaAvbiUiIU+YPS0+Pik62maRiWVGAU+KEaIpigbYT6bvPgLJBntKlmmbDUgyUmyKKxwxnFuSUm1KY3GR9/YV75d3vfcveu+f935xw/vkl96eDu+n7d7bDd6nzd6vzv7t7uGn58t+fXbt43MlxztIPlBKAAAgAElEQVTe2XRpRmn9tPTiLJCawKePBUljh8zfMmH93tHzFufMKyzZtnLtvvUV1eXrDmzMLlk4YeOhCWXV8TM3icOL7CMXiANmUxGTGdfbUYlD1i6b03akvOnAirKV06fPGY/jXCBCwa87mDQV9Q/lMmxgkJufmjXl1KG9zz4FWOaQxDIWEZr7HtDcp9n8/0Rm4LMEaAwC5/3oQSaWJG1tqxQKpFAgamPgaUFQVSXG5U6LjhkUEz80JWnCm5kTcrKzBw+KT0gSnR7SpRlEJpSdUHb64HRi1Y4UKxAk4gIxVqc9Ok6NjJE8kbzTQ1kdSLExYS75tSjVFemOjAuPS3L3SxCd4dhiRbJKKTaHJzrjjYF5w0aMy8kdMiAjMS4+KiomIjI6LSUtPiEpJi4hKiYmIsITHmaLCVNS3bahr8fmZaTlZw6c8ubg+SNzi8eOmj08e+rQzDFp6dkJ/TPjkgbGJCa8FhPljPA43fYwBycJjMiT5e3GJBlmRejb20ORJDa5zTEYmCBxC3EvOHUyEUdDMwM4ijKziKMh2Wvg67eGPmGdjjQKdCkN1tJEOkIJGjTPh0dEOFwuysyT/UUUzzAiz8siL4uYZwACgEKKVZHkUF7gBZ7jOVbT/UBA0rkOixLr9kSEOQSWDQRPuxsAE40oGlIm4rQbbx8UhWkzy1hEbLMDSYKKTXJFII53WBSVwgvezPzv9g+9v3rofdDuvdPs/bTD+/SX3mfd3qeXvHdO/detI95nzd6vW/9y59BvLpQ96VxRf2fxgouFow+NsxUMAnFpTOJElDgpc/664oNHtr+//b33tx84dXDVvpWr9i+bs7XEPXVy0qLtEXO2MmM24twyPrcMvlEKIhZwnslK1LDSpQuuNlTfbTlUs3NZccks4Y0oOi0Kp3rA6xx6QxQy7SDTAUYmxG5ePP9yO8AyB0WWkngk9IHl/xGz2ReWfcKpXX+CJmfXBo3zvnXUDI05WhIEt2qNdboSPeFDU5JHDhqUO3hwav9kR0QkpdiApJByiM+PJZ6tkxysuJHFAWQVkDjWHAoEGUoqUfaRRQx6OZSyOQVnpOiKktzRkjuad3roMBf5quSKiOiXmPB6SkR0rGJzMLLCK1Y5zC2GOcQwB291cBaVk0IFUZDMnMLRDpF3SkK4IsU77WlREYPiYoYkxOX0TxryelKiOzLaGRHhCHfYPG5XuMcdIVhkXpbIoj7IMtDMEY0UYDnICJARyCwcTdJo5gDPohAMMEIQkkbHYDKJZJzBmGcATwMGa4oFSmvmRr5ELg0A3QtOGMAkNKZh6BAGhzCCJDlcLtXl5BSZhMRk8wpZlKTHyZwUSnMMCsFB1lD/P2UyBfVP+78IMQxhSRkWhWC9C5S8coaiGIHjZRFaVGBRgKxSVgctqQ7VZuO4DI/nyf4K77MH3p4r3psfem82ex9/7H3S6X3ysben+YfOyj9c3uN9Uu99UvufNyq/u1Xe8nBtbt0kd+lgkJMBYt6CUZP4/pNjx7+zZF9FS/vutisn2q41bqvbsur95VPKFtsnTR+yfE9s8V5m/C4u77A68Sg9pAJEr+ajFipRkwomFrYcOvToXN1HtTvWbVliz47ns6PAQBWk8XSmCgerINtNFWbGbv3F1AvNAIosEBhCgr5sy3iwbx1q77TtPwLnSwzmKxDVDzBuSmYxZDAKwQxDk9R8lMuVkZSS3j8lPi7B7g6XHG5KsZMVfST3YzhOKDuJTwskGyBbgMjhJcCFkn24QVtxkeqkbOGMI5xzRtBhHsrmpsM8dJiLsjlpm1NwuFW3R3W6RZuVsUjILJLp49q+A4YBDItZlmFoCiOnqtgtktuqxrhd8a95EiLC0+Jis95ISYlP9DjdzjC32xVuszllq51MDxIVxb/Di+Mps4h5gSxsBhyvHcPbjkIwcUopCGkAseGyhgAAjPyaBDMDWYo2s4iljJoE5CMTG5xYBCAGCALSz4UwNmFMYUwhMsGA0IFMAGOyjwz6hJyy1Soqim+2OtY3jlEcR/O8Np8aIzqEYhiajKg1GEeg/woGZ5amzKJgkXlJoFgaGw0mhAxFkU0qQBSRogBRApJMW6ySxeoQFac59PjCxd47173/dNt7v817vd77+Lz3Yav3wRnvw8avL+263bDi+fmN33dt+Wvn5u+7d7Tc3DTy/enizMHgzSz0xlTUb5qUMjk6d2xpxZqr1yrbu2vqLlZvOrlx1ZFNY5Yti5gwd8r6Q0PX7UktqR20oiOjpCOqoM4z9GDqsF2DclYWTy5p23fk8/aWq601ZftKPROTpbxIboyDynWET0uW8pPo6QOVVdNi9q2f2HEGQFmk5FBKlJBZNKzBE4PI1OH8KQWVYG6NGaBeZPb2kIPgNH6s/RAWMyKvWBWbVVUUWVUVp8sRHRkVHRXviYyVw9yUZKUUO1btBC0jmcjiwIobWVxE7gMlGxAVgiX0kUlkt0ixaZZW21ftQqqbAEnKLfpOa8pqp1SVkkOxKFASz1gkskMWi77MM8sBliP7KimW5kSeBFokgJQUye12xkRHxvSLcrqddqfT4fIoNoeoKJIqi4okSBIZOQtDWMzyFCdQnIDZ3ndJbUkRxiaSX9XJ9Pt7yARDaMAxwMwh3/5pxFKQMkEUgGVQkAm1HmgTgiaKwhSFSVMlIRMhGiEaIhPEZBQlhmaODFJjLBJgaUYUeTGUcEj2GlGSCEIw2UGIGAZQCJi0GiYMviME/jGZIMsxsqLYbKJFWxNIYCZkUhSmeIYys9DMYUkCggAEAQqiICmKICmcWDR05O8bT3uf3vU+veK90+x9+rH33mnvg0bvw9Mvrh+6ULf4akPRd91l3q7tf76yv/Pa3kXH1rlnjASZI3DaOzC+UEwZn50/dd+BjU/uH7p2+1j1hQMb6rcs2rc9ZdovIobPn7N2d8F7awcu3pzybnXK/NqshY35i1o3rP1454YPP9nX+tvz13+42Xm5vbpk14KoOenq9BhpsoeZEDVo/aRB2xZE71js3l8WcWzPhGudAIgiJcuUKAGWAzyr/YOJgr64Evn2/PysauePGtVXkGmEM8iKkocxIu90O5Nfj8/o3z8lIT6+X2xCfHxS//6O12Icr8VIYR4kW5Fs9WEThKWTUj0ETmC2AdEKJc2bhYIEzTI0y4APBaKCZKv+XUh1Y6uHcYTrvZ1YtSPFRtS5QApFllDaIlEST0ZvUmYW8CwWWcBRgKU1/zOEAQzNmAXaIpEhY1gSgZmj5FDZ6VDdLtGmSGGqYFUZi8RYJDXMqoZZBUUkSzJhiDYtjmy2o7hQw7+LD0uOAjwNfU0epInRP9gKQGTCWrufyJMsGhJ4SJGULNAnevUehIKACQNM4kmKwr5xlfqjTACYkAkjigYYA4bW5lCbObKCHvMcMJlIegaG0CCEAhyDzCJgaUCZAIUhg0kKClLaYnnjK/dPrEUQhtCUWRStdpvDIcgiCJQlYQAoCmOOJjN7tSyXKAKW5WWFYzmbWcp0Jd7YVum91eX9rMt797T3WYf3zinvvXpvz9nn1w7Wvj+rs3H+3z874H16wnvzxM2umr0tVWnvzqDeHE8NnMukzrdnFCxfteZmW+3da7sf97S03f2wsv3QnF27Y8asGDhhXeX++kW7isLH54EBk8CAGdzgYnv6koKpFXs3HH1xovuPF65+fqGh8tDyrKW54fMGqLMShcluNDkuu7JoYmNlVktN4pnatItn5z17CnAghzqNvQ8MJJOso321OxoMp24zfWtqocADkfdvodMfqX810MHGkkhbJCnMFhEZPvqtobMnjBuTnTUkfcCgAenJ/VM90XG2iBjRGU6rDmixkqjS3xttOFhxYsUJRCuUbFCykdW0QJCBIAOzhAQFCQoQFSipyK+Gd5CFRT7RAllorQBJ9sfAhneAwKm78WTzLCkRk01blFl7P0mXjGCzMopMyaFYEmk5VFQUSVUFi8yLoYijEcMAiiIFTIg146m9MxKHZR5JHBJYxFOIxbqgnMzjMLiBCGMKs6z2b6e/wz5XNjiF63cp/aMlIQCanfRHmLpZNRFvVouHifJB5LWVu5R2U9B8H5b2V2vIr4YRoBAIMRm9WWPyCUAATBiyDJYkwWaXwmycIAKTTxKh65wgABQCHKVdfmYOiQIWQhlRkixWh80Vozo3jJ/0u7oT3p5b3ntt3sfnvHcavDdq//vLc395cuJB+5quk+981b7ivx4d/vvz5h8+raturRq0fDYYPRaMnC1mL8iatnzv/oNtLTVX27Z2X9l/9eGHH1w5PnNHhSN74bjpm9rr6poad1Qc2rx0647CZRWzivcuKNq1e3PN2fcbv2w68+W50+0ndmzYOWtoSbpzbpRjfgI9OZyaFpfx3jvTTx8q6mof19k64urFpf/8q77J7JPP3mT2GQ0a/c+Xmk2zYZm0JPwUMslfsSQyiux4zRMdF5375pCCkW9nD8pIfyN5YNqA5P6p0a8ne2ISFU8UZ3MhRc/E2oOA9AsPJJvvqEBUdDiRoA2w1RtWfE2eLqQ6gbZhnnwLMbaiLzulvX7Mc5gPCLCNZOpH8w58cDKKTMwpY5HIcFpaEDDLQtanwjOQCVlf6CHzhExoZiCHIWMCGPpyOWR6nZ9MGESmMZfrcwiDvEcEAA0xjWka0xhhBCEJLA3iON8xYW2qOlGnELMpaNqV3jtsyI0McSwMoSGmNDIppCvmjRlX8ilSEaEtCm+1CVaV5nm93BKQfMYQhJjIvQ+LApZEsmtUtTo87ohYh2dK+uBrG8u8t7u8Dzq8j8557zb8tbPqr48a/uvLxu/u7nl4bsndhnc/P7/m+4dVP3xxovnq4Qk73qWmjQJ5k9VJRVNXbq89ebypfn9n08aPmstbrxw+cK6qcPN255B3FyyquHb6w3tdtZ9cbrx55cqNi7futd7/5PQv7zZ3Pmjt+Lbr/DddLZ0tO8oPvTNiVUZUUZR9bgyV7wATI2JW5U+o2zPnSlte5/nsK+dnffkkgMwfN54/jUwjon06sTp4SBQCyNQfb0BXf2HAzGFJ5FTFGREeFRM1MC01M31AQnxsbExsbHxiRHRsRHySMzpedkfSNie0WIGoVTKNWBIyNTdVtiPZTsj0wynKUFKJP0yiTZ1MzU5KCjBLwCwBcyg5kBd8mRgG+LdFUMa8VwCWrHalatks3w480mVKWyTGIpGZ0YChAcaAQv6d7WQ2OZmAbCATixziSPM0RCZCJoQAYWOZAyIi7iNkav9AHAMMfSGwF5kYAAZROpkQABJtGsdtAQAJ9toiPV7beqpn0QmWAcVY3xWCeQ4xjFYCwRqZgSGuv2QCQ2hGFBlF5VQrJ4VSDAv9At7AshBGmGX12xAyi7Qky2FO52uRUZ6IZE/4zsn53out3kfd3vvnvHc//M35Xd9fPfyfPQ1/eVTz/NK6G43zb7QUPb219aueA9eeVC+v/4WjdCyYOkKYMWvOrt2tF1raWqqvNWxtrS9vu1i1t35/3pKN0hv5Zev29Jw/8+hSTU93w/ObHd9ev/GbS7/8zYXO33Rd+uHBL7/vufjs7qmzres3VOXnruofPs+lzLCDPJGZ0T92TUF+48E5XRdHXz4/qLNtzOP7APXiULdUvbNBQWT23jnbZ5Wlj8DS8HRA8t8OgsgMANjMETJ5q6q6nHaPOzw6yhMVqbqcNk+4/bUIMczBO91MmIuyOjR+xACHNohMINmQbNdso+QzgOTImrU0rOK0I9WOFBuQVWCWABcKOAFwmuIUspzvMCSDChgaMFhbzdKLTE3sSh7G+vMxOp+0HEqZef9uDxMAJhMgKwNMGFAMYFjAsDqZpOgFSWsVJH3EpIkRQX+wBiEy4RCG5nnKrB2yQcR4cff+gwCggMnozWp+LAw4JLdEFuMS2YM/nR5Caau1Wf+tSr8eMMviEAaHMBqZJhhUhgW6d40ADKEpSeRUK2dRGbOAccByFqOBRRBSZCEKRUGWQWaRUVTJ4VReC3d4IpxWa2FGxg9Hqrz3r3rvtnvv1H/euu3bS3v+9uDEXx/WPL+0rqtxbndrUc+9TY8ebem4t2nT2YVpFePhorfB7LwRW9Z80Hy8raXm9slt3Y17rnUcqTl5eODEX9D93t63dc9Xly9+cnZva115y5Et9+oPf91Y+23zsd9crv/jk4uPHh/56Mqm8hPTp28dlLHY454hSdMUNFEOLx2RWVmy4GLjnGudwzvb0jvPZz/45B8hU7/VvZpMXesXhCUKtMavIDPIZhKvj7eqUphNCrNJDrvkcApOp+zxiC4XVhQgyUBSDMfmT+EEkgkkLfdj8GMl/5HJ/qIALDEpb8pWIJAGNJ8QnOIIJ4BhDVjSgMHGQhEhU7MbFOWHk/PtO5NE/Q3HoqDFZqSbhAxVRiaiOIchrE4myQZjkdO0ssSJ1UjBEJkgUXoT+2bCmGVpnidRLmXmMcsCKmjzUK9LnHjF0OQ70G8zIYLIf8sgC8tIAdMvSOL8dyuy982Y8IMsA0NobduXgczeiSgIADBBGEJjUWAUlZEVmucxwr1fttYRCCEZ/EVeGCfJgs0uud2i2y253WqYPS0i/ELpL7zXrngfdv397oeP27d9fX773x/XeT879evLm1pPTG87886je6sfPV5bd2HWtrOFM08WDjw0K7xsRlb5ksraPW1Nh29+UH6z4eCN9ura2iMxby5UEscd3X/gy8sfH6goyZ/51sj8jKoN73596sB3pw8+OVNxr3P3++0lS46MG1menFriipoVqhYIQoFKTXM6V4zNqS5bcr195o3urMvtaV0XB96/EUzmq71ZY+3k1WTqH/SZHAqymcZssO7WGl8GlkSsLf8K5VSFVxUy8oezOQWXR3SHM2FOpCikrEzGtEOL1agu0OE0Stv9ZBqxFCQgKcBi1RM//tG1VgdSbKRjGwsyxUuI4QD2LdgIYRHDICbQm/X5CzqWkGWMZJJkiT57nhwk+AymRib0Y4kp4soCVleDcEhgEUf7C5IQYISwNiiHIsMhAUQ6mcRaYpZFFA1M2GiaAsQ0UK9eaLObMcIYIZ1MHUvix0KWIRlRWhD8JS6OCYozA5wphibLhTCmMDbpars+ElEIQspEmt04i8pJMsWwGKDerxz7Zkn7XyemaCGUt9oEp5NzOCSPx+Zxu63q6pEj/vv0h96eW95HrU8v7XrcvPpvd6q9XzT8/lbl5ZZ321vfuX1rydXuubVn8/adnbiubdai86XjjpUUHFx24OSurjNHH9VXPmg+eq21qqrqsCdjSUrOwvqjh2+3tlVVV2TNeDt+RGrp4ulP6w58daryWt3akyeXzD8yKn1trKNIkWew4gSGGc2D0TKY5OZK87I+2Drv+sdTbl3PudmdfutKxqNbAWT+aIbW6Km+Is40Itp38tbwLED0P5FOZm9TSVskchhFZiwSo6iUYqNtTsbhpsIcULViVQU2baetlqTxy/HsQUlaX5xpDSZTlIEUCmQVKjbKNxdTt5nYZkeKFckqJau0pDKiRibEDMQMolhiNDDLIo5FHG104/UmHsD4XKyQADOCDe4JNPsc4xAKUBTASMcSUTRitAVYvjecxTxjlApgomWlaI1MkjdCJmAywRBaj3VxCANM2JdbCcYSBxQVNTKJN6vlfogp1tZyBZBJyPenpn1xpp7P1y4Sso0PY2DCyEQqMTCoc023hhibIIMxzzEWiayIh5hCAFKGV+uvFfmkv37nPoSlRImx2Zgwu+R2K6+F28KsIxOTHr+31Xvjkren/etrB+/WL/ndlQrvpyf+69PqR5dXdl6Y33VpVkvzmJqGoQdPD9t+dtyq83MXNBUvrVvRcG73gwtHv7107Gl7/Y326rVbtin9S4eMX9/UUNvR3Lp2347w/FH00NTMiSM6qiqfN1Q9ad9z9uzKvMohtkU2MJ2Ckyh6DItHyGCkHUxOUMpm5TQdKOi+mHfr+vB7NzLu/XLQk0/6JrO3DOgfI/NlcAbkZl9OJnHwCJmcqnCqQrKXtBzKKCpltZPGaGCxAovChNmB1QoUwqRijDONJ6B2YrEh2QolLcVKsISyRAymTqa+iwFZbVC1QouKLVbOYuMkGbM8wDQw0YRMimEpjiMH84HRFBGjE6fOR2YQnP50tNmPMaAoSJn8WFI0YjjA8ZDX/ReGqF79onAibSNRFqb9ZCKkJU45FjEMxL6WxkDvEfnKiQZQgxMxetZHE/0Ekqn9srozT2HyJcxzWpKMuAmkl42iCJnIhIxkQgOZxGAilmJEUbRZRaudFkIhMiEAOJ9OiDYoe7He/oZMmkQJ08gsMjYb73QyNpvgdDpcrmS3q3bOO387W+d9eO7b64cftpT+7sp27+Njf39y5MGl5S1NBW1n85vrh1XXp9eeza46P3Z7x6zV54sr28u6rh7+6vrx399o+LKj8drFw7OWLKeiigeNX3+2pb6j5dKKQ4fCZ0wD2YPdw99q3r/3WfPRh227K6pmjNg1WJgvg6kUmMjyeaowNgLmJzJF2bGH1uRdODX68vmcq1eG3r2RcudK5hd3X2ozg0xlUAzpK9nxfR4jon3rE4w2UxKM2dcgV1a/NZC8JXH2aEmmZJVS7LTNSakupNiQTOblGVV1Vm1niWRFklM/WHaRgySnz921+kNTXgKcCEQJyAplcxIhHlRsQFaRYsUWGxIUkvuhzCIniJq4jPh1JowoGocwOp/kF9erl5r8JYTW+oMZDFisaQPMDDQz2m9NInOWQQzja4xG2uCCEBoxDNIVeQIpPDBE9apfzRQAFIRariiEARRD3EXAaJkYYjCRz2D6A7lelhP5sTQFfhH640xiM33s+cNLLX2FewfVSOApM4/MImQ5YMK6wAgiSOo3Rh0SAGRtIUVLsmRzyGFOTgoFFAW1nfIBKOr3psAWFAxMNOJ42qJwNqfkChecTtXtcttshYMzew7t/vuts99fPfygecV3HVu8D2q8n5367Z09bU3vdJwt6Gh++6OWjMbzQ6s7hlW0j9vb+k5L57qbN3bfvlr5m1tHf32vofPSseHT1nMx4wsKtzc3na46cShv2bKY2fPpMQVSzqht723+/FJje0vFoh1TbYsj6VkqmCZy023MVA8oSKSLR7m3Lclprc/tOJPTfX7otYvp1z9Ou9k5/LN7P81mvoTMH62aBCVpX+3N+jNAhhpmEJlaIf5lZJIgU1ZJCocsLAGyrU+bqUehQLZpu8MUG5KtQJSBEApkhQ5zMe5IyhmOVDtW7ZTVDkQy4oQHDAtZTZcDSdldqzRSBE7i0+rlAT0LChhDVpahgxOVgWSS7IhOJvm4TzIRSyETCiITmbCeKyJg6zlSrUoRIOIJLh7+CJl6PpbEmSF+f9UYQ2rvD8PofoHxioK8AFkO+EqjGpkoCC0AAEAhmDazgs2uuNxymJMRReKHYwBxEMMGOA2/lgkgCrIcJcuMzSa5wkV3OBdmlxU15bWIqqLZf+488Ycrh3rOLPv20ibvk+PeLxp+e63yQt2MjpbJna15H50ZVN+aWd2atfvM2wdOTz55bkl7x5rWCyuvXlzXfWV/U9uRIfnrhYQxEwtXb6vcNHP5LCZzABicCVIzQf+BU2YUth3dve/QipySHGFOOCgIBRNEPN3NFMbTc4dGlBcPb6qe2NWed/XjEVc/zr3ZNfLBrYmfPZz/4qs+yOwzvPzpZL7i86/2ZnuTGaDdNZhNQia22CirAytOaLGSCiSUFF9NUgGyGuTH9kkmlO1QIfoeF5kYhKw2IEpQsVFON+OOxA4PsNqhaqWsdkj6UTgRspx2uZswQCakOWMYGPhEFK2TqcOmpyj9JQRjScn3LgWTGWLyG0wjmWYOmDmjK2sMtDDRwbEcYDnA0iCE0tIwxBSTRQaG6xkF+rSvItOHJfINVdDLlXqMQxxyPSWm55/9vo8oaBkgZNJGGMCA5zPeM4jYWHS5FJdbtNoxzxE/HBuc2FdVfgAAEAOGpUSJU618mEvwhAPFKjg8sqxMH5rxonHPXy/v/+7S2mcXVvz7gypvT92/Xzv05ZkVN87O+ujc2KbWwcfPDKxpHlzVkFV9YlRtw7Ta5hlVp6dVNeUfbFpR/sFuT3axmJCzaOHyyp2LZy8ez2QkUIMHgv7pKC41fUhWxYbS5VsXZJa+bZ8Xj6e7wWQnnhmL56Qzi8fE7i8b19ky5Xb3hBtXRl7tzLtzc96zp6u/fbHzD78D6CU0vozMV8P5amJ/FpnBqnrDoUQJSwqSrVi1Y8UJZJWQiSUFCT6RnajAXkHmK8hEYU7scGGHCzudVJiDd4WLkdFSVBzniUBhTmS1YZsVidqAIswLJLEJDc0WmgExJFGDyPR1ydB6otIowOijnKBXR19BJs9qk+Yg0Mn02UykiddJgw6HtRypjiX0myVj1gf/TDJhCK0lXUkHiaFSSu4CurXEikSpMhEMI58IwbdbGmijQ3qTaYKYoxlRFJxOMczByAoMoQGAEAAKQMbXp/YjZAIIKAYLoYyicjYn5/QAxSZFJshOT3pCxMdbi//9/K7fXSm7e7roq+6t/3G/xnv72N+u731wYcHxM6OOn8+saUk/2phedyqzrja79sSog/WjttW/va0pq+zk/EV7NnP9ZzlTcnZvXN9au7Jq58Li8qLSnWU5c+cL8SlKVPiY/OwRxSOjFw1VZsbQhRFoVixTlC6Uvu0of3dgw8GCWx0T7/xy3O2rE+5cn9PzcNP/ePH+v/5rw1/+n59EZtDxG1hDG2dv/F5Nph5PAtHg2QbbzNCgQ1qodTKRYvM1WCpItlKyikXVSKYxN9ubTK1v02LXMrpWO7Q5oMMheSLt/eI9SWkRKenO1/tLUTGcy01ZrWTGAmUWKY4jGRTSbBFUc/fDGVQh6IvMABp9H+hlBp1MvytrJJMAzGAy6xnoNQMAKDKv2YRBCAVYGvAUMNNa4ieE1jfP/lwytZQswcjnymoSeUOuS3fdtQRTg4MAACAASURBVKOLVxUJKxIlhxIstWoqMpGfR47+i/hfHIaIYylJ5MLsnGqlzMSVJX47xL1c35eSiTFlFhlZYawOzuGGNpcYlSBHRNsdyqpJQ397csvXZ1d3n5j/qH3tH28f8j6o9T6qenCl+IPWMdXnsw62ZNQ0pdXVD6w7MfSDE9kH6rM312duO5tZfnph0e5NQuqs5DfH1u3afLVxTevRlY3nd31y/3zF+3vkpESgMFKKzZPfX56d4p6f7F6c4Vj5lrtsXMyu+Rkntoy8VFdwt73g/q2Zn94v+qJn0z//uubf/rX53//U/qc/AC/4/9khhouMLfQVLX3qc9mgHJAU/xwDLSGkL4r3VVb0/ZkknSurQLECq5V3emxRsVFJA+JTB8WkDHDGJwguF1IUApWuwCaXJoLBARj0kUn6D/Vcpfa9LE1iP8hqKVa/uI9n9Zqn3+N9OZn6V3XVq04mBgBBqJMDWQrwNJlPS4b96Be+DsCPerP+Yon+a5LELKMJDP1ZaMK/Htn6brWa1+PzY3EIA/XlfAAgX5+38VUBBABFIYGnLRIxmJjl9ZSy8XUGFD/7YBUCE8Y8x4gibbEKNifncNOuCM4TwVjEEWkxj/aVPWvYeLuu9Hbz8u9u7vqvp0f/83n1J9eL3z+bu7c1a2dLxu7TaVWNGUdPDT7eNKy6OWdb46Dys0M2Ny+YuW25kFo4cERBzc7NnY2rP27c1HRp280HLVWnDiePH0G97gYxjDwpIW1jXs57+Vm7ZmQeXDDoyLKh9VvGnK/Ov9acf6tt0ZOHq776Yud3L2r/+EP7X/98+c+/7/qX7wA0BHUBcp+fYDaDAkLd6P2o2QwQygp9SAt8hzRw+I8XACiQKQcyEBXSUAJEmcwigEYBkKzqGaCXkqloZPqqmjKQFGBRsMXGh4Urr8U6ohOdMQlqZDQXZgcirxUYMQaol2q0l5uHTJjkabUKJ2OALYTpk0ytnhFEJscAButYYpb120xS7QwkU79SCZyYBL0spY+N1qQ2ULvsoeFqfkUGyD/f1UimL8gEZo7on6FPoa7lnEjCiVwAvsgImjlyd9MKmIb7Qh9kmiBkGdoicWF2OczJywqi2CDXVVtq4jO0sG8r6pNACQIlKpLikGwO2uYQPOG0VUmNiTi+eMHjD7Y/a9j2oHH58+6N3z7Z8dUXW9q6Cvc2ZlaczdrUPGBDU//3TqcdPDO08eK4hgtjDpzO3ND81obmuaPLZlED8jPGFG7fuqW5aV3b+e1N3dsbLldtPlo5ZulC54iBINOTsCi3oLpkyqHSvKplw4+ty23cMe589dSu0/PudRT1XN32/POq7140/P6HC3/+10/+558e/tv3D7//JpjMnwVnH2T2ksj+JDID87EG59bHJM8DnjeSCQWJpHmMZPrVeUQGpO97f6nNtJG+aiRb/QGqJFOSnVKclOKkVBfncAsON221QsHXzYSxrqoxNluQq1YPOEkbsZaqDWE0c8cwmGUBRRM4NdMXSGYAk9xPIBOjIDJ9hQJtdhZFYTKTTpvmTmnjnnuTGfQTXkqm7+6jNVvyLPT1DBGNRMB8ap4jYj1jZgiG0ABjfZy0/wX3JsoEMc9xqiK53WqYkxdlYKINL5igiA3/EH7PPBBMpJPJiVZFtSuqVbBZpYhw3umMiYxYMCz38q7NL1oOPm1Z/+Ty6u4bS5qvvVPdOmp3w+BtLVmrTw8oaUpa1Zyy70LOR9emtXUX1J4ZtunsyE2tRbmbp9GZ+ekF81dt3Pz+yTXHW8v3nVtTcXrbnF3rs5a8K43KjJ89Yvr+ZQtObpx/YuvEo5uG124Z0Xwg7/zx/Eun59/pXP7F3Q9efNPy/W8//uPvbv75D0//55+++rcfvv6XFwFk9p3+6YtVPXlj9FKM8dKrk0B92kzfEYJWTRsPIdM3s0fS5HU6jbof6yucaDRatK4R8gFldWDVToQ+0OJTJhAsBRkIMiXZOcXB2VyM1UEpNkqWsRAKzRwmWf4QBpgoQ8bedw3oOQyjMsaXpyXqAqOw1hdt+jDjNDmb0WD6c7MBSV1NQK8nhzVvMMBA6DbTRA6kTJr8zT+4JzjXEhDdBfwwaGTSn+gKoY2tmJQkahFmCKW7uEgUaDmUTHXCvECSZ9q4Z2QyOtUo8Kag/QmhaIvEO53iax5RURDDgKAHEFdFe9+h/nOCXVwT1oab8Byn2nlZUVS7/bUoJTJOdEeEe8IH9Ys+uXz+7y4ff3hm3ZOLy1vPz17XkjP9ROLMDyJnn+4/uyFx1rGoohOxm1szD3S+faBz5N6OtzddHLn5QsmQDdOY3NzUqQuLNpYs2TNn0f6VUzcX5by7zjOsUBw8UMoelLvqnUW1y0uaNi86VT7r5JYJp7ZOOHdw6pWGwq4z86+dX3HvatU33zR996Lr9y9u/PD1je+e3/vn58++/RLoZbSflQTSLKQveeNXe76yzvnTvNmA9e/6bK6XkKloZIoy0EsmPjKJ5SRKPcIkESGQcQT+h2kaIFlPHelk6lsACZmI4yHLAYoBmAaIAoiCkNLI1HIYPltKyNSl3v4Grj7g/HEyGfwTyTQyRsgkM3vIImryXw1O3eIEIdjHJ4Kx9BdvGYa0Ymo9kDqZFAUYWu/SpOVQShIJmYjzzRZB4BVk6j4u4lhGkQWnU3S7GVGE2L8zN+hFkmytkckgMrWOMJahLYqoWBWbQ3Z6RHeE5IkM94Qnv+beNH3k5y17nl/c8eTCyrrG/KITGRM+iJ3+QcSU04mFTfHT66Jn10aXNPZf3Zy+oimttCFtQ9uI1WcXTNi1QB6fFzHmnQkrinJXjEktGpcwK58ZNBW8PgYkJDGZaQWbi5afXLOkYX1JQ/m8+i35Ddvz26pmdTXOud5WcqdzU8/do8+/annxq+7vfn3jxbOrz3tuf/HoybOHwFjD+LlwknEEQWT+FLFBbzKNsWVvMvVDMkAwiEwxkEzRQKZReBCIqE/B5+v88mEJRIWWbZziYKxOSrFhixVLEjKLgOMRw8EQFlAMMNHARGvDb6AuyPbPqvIhqrVpaFlHE9R69hmsZ0cAQ0N90NYryTR8ngsqqPZJps+OGJ4dI22cB/YvVghyYvu0lsGOuiasp8m1rpNJZvwTV5aUUgiZWpMDLyCOxywPQ7Q5sbAvMgNeFWUicjzeYWNsNiK30h9veJEBjAYpDQHQXFmtshpCUbIs2qyyw87YbLzTY4+MiY6MinE7pr+V8nHVmt9eq3p+qaz25KTZ76eMORo98Yh73OnYwjNJc5oTi08nLW9JWd6UXFyXWFSbWHRy4Jwj4wsPFYVPLxCHT81a8m7KopHU6Ax6+Hjw+gx5cJE6ZITtrcx525ZsPl1Wfq58Q8v2pS3b5rRUFF6onnft9KKbF1fc697+2YO6L562Pf/8xv/1+e1/enT76f2eJw++fvoQBM3++FmI9iYzSJGnfyaoEPpqMoNqJEFk+gYIkFBThpJihMp/ArNBRj779GB9hRYVyVbGYucUBzGY/l2ALIcYn8E0aVpZbGKwiaEYHocwiKKRCRv6Ffu6zk0QUIjEeyDERLpJtLqCb/7dTyFTU/aQdmofmbhPh9D4dxOElAmFYDKmVTc+L8ES+Do8A4Jn4IufNfm+TqYokKwsoChNScsy+gJIwLPE40AMB0NoYxYq6GUGPD1L8bIk2qy8qiBRIMWSXmT28TYHkglJ+geG0OStQwLPWCRGDUUWmQlzOSNio6NjIzyuzMTwnSumv7h86JvL21pOz1p0dNDEY3ETj3qmNsYVnUtZeyH9vQuDKtsHb24ZsPxEUskHiaWns4rrxhfXLkwpnkXnTktZvCRtRSEYMVgYudAzZs/IeUfyi9eMnj+r7NDa98+XV1/aVdlesal919ILexZdPrrkRsvSO+0b7v9y32cP6j+93/b0wdXP7n7Sc/Php7e+fHLvt0/ugt6DeX46nz9K5ss6qo0SWSAE3RT6ZpL4tAYyBWAWkGbutFGxfgNIjqQdaFGBrABZgRYVKVbtr5Ic0PklylBSyMJcTnFwqp1SbEhWgShDQQKcCBjWQCZFWkwQxeIQjmYFiuERxQIDmfq1Y8wTQmQwXDqchs3CryDT6M3+FDJh76sVIxSCtcV+PjJxn1hCACDoI7b0kUmsIiHT39tAsDREoUR74CvhEixZiKlXkOn/HEYUzwiWUMGqMqIIQohoKeDxLyPT8KN8/0cmGOJLnjEsYGlgpoAoMlanzR3jiYz1REWGe5SZkzJvN5R/e6nialvp2rrcmSdTCk/EzmtIWnVmwLa2jH2tGQfPDtx2Mnl1ddzyqrjSpsySkyNnvz8pZelUMHyqe+7C4VtXSoX54dPW55W2L1p3tmJfTdWR3U1te1uv7T55edfRy7v3Xdm/ufvQ6uu1q++c3nCvfeeD7qNfPGj69JPWx9c7H3R23bl4827H4/tdz+9e8tvMl9QtXoWo3vQcROaPzjoIIjPQnfbJCWQ5iM++yAxFZJEmcW7JZMpecCJZ1Tbhyioxg+Sr0Pct5LvIV7HFyig2RrFhi9U/U48PBQyPWBGE8IDiyIGMgFgRsSLFheIQAWIGIE11oF80qFfYAxEk+RgNTgbrMj1CZkDVxK+ApwxwBseZZFjeTyETMliragaC8ZJL208mMB5fc4kWZ/qO9np0uQWlBaI+7Z4vHDBp6wNhr+c0/h0ymBY4XpVERaJ4BiDN2+37F/wRMiEwUYBhiVYEMCxgKWBmoKqIznC7K84dmeCJSXC/Zh+ek9qye9m35yt7Lm3a2ZRfVD9o3onERaeS1jWlbm9J39uUsrc+ZduxxA01CWXH0kqbBq84nVt48K20FePAmEK+cH7uro1pK1ekFW8u3XVj276LF86dftD94b1bxz65d6jt+v62O9WN944cvHOk/Fbthjsfbr7VvPt2+/FH1z96dPXjR91d99q7b5/75E7bk/sdX94+37c3+xPh1MYi6vnbn0OmH06DzUSioGOpk2nkk5CpDYkMItMc6sfMwCcBknyMZBXpE9kDv9FoMylZpWQVSlrfJhJlZJYAKwBOBJxIPoB8qH4wK8IQHphYAH3XpQHLIL01hGQ4pAlSJm2UIxuga++DTArpfq+RTG2wlQnrZMLAqzPgLyZIQlz/Plzc15QR2AeZftgCydTlslq9B1M+qR3Sika+Ki7iWIoTEMNBzGgvuNeTQ+P/TRBzNCXxvCoJllCaY3rT2xtO2Ae3pMiMAaYhy2kqLl4CoghssuAJd0bEeyKSw6OTnXH9I2Ji0gcmlS8ueFq39esru+vbi1a35M47mjD7WGJpQ8rm02kVjSnbTiWV1SZuqEvb3pJz4Pq4mhtTN50dm7ezUJqxEOTPSVxZkr15U+7a9ZsOXWpsvPL57bav7tY/u1fT8/jwJ/ePdT881vqotvpeTfnNw2XXj2zqrt177fTJu+2dD395s6f73qOP791rfXiv/dnDj7+51w6gwWC+ms8+4LSEBpHpb4rtdSjDrPdXk0mwpC0K+cBoPEkGKJDMUGAOBbwYgJmPTGIqdcY0SvUEEh+qfxfwmU0kq1hSsORbay1IWFKwIEM+lACJzBIWZEziT0EC5lBEZo4ghpCp75frA0sAANDGtqIQjBkKsRRkKWMduG8yKRxEJuL4IDJ762AMFycEJqjdCBjslxwEXtrBJimITP30ZTAhy/hc6wAyMcv6Ws94xHDE59fSxa8iE2Oeo2WB2EyaY/pOT73ykEdBZAKIAhRDyIR8KMXLlKoyHpcSFR0enRwdkeaMSlGik9wxseEJEVNGZ1zdvfw3Vw50X1+/s33SvJrECTXRRaeS17UM2NycsuFUwtIPYkvqUje0Dtt7feTRW/mVl8ZP2VOozikGY6cJsyfnbNw0YcuaVbtPfXTm4q8ftHx5+/DXD2uePDp0935tx72qs/eqD948sLl779quQ+VXjrx/raHlbtvV+90Pe7qf9lzqud/6+E7rl3fbf3377KviTP8RWSiySOKCT1/aA9BX3ybpUXxFqtYIv65cJ9kgQikBVauaGFRBRucWmHkgCEAU/YdsqrbIQJbItiJtcbUgArPgt7FGMhUrUhQghZJvx2SFLi8CcygZ/INYkTbLvGTlJSvFSyCE1xK2iAGIgZBBkCJTMGBfMlTgizaJEaMFjpJ4wBNpKwf1d4ZUBfXurQCbqan2tBypbql8fwIUMBqWGJi0Ocs6mZp4CAYwTBJF2qx0fUwJObq0wDCjIEB4SDpvoInMJUEUjThWFwaRxCyiWIhMCEIy152CQYEuAgAT+wzNHG9VRYfKSQLGfo5f7coGkmuCkAImmhhMSlQoWYWCBBQrcrqEqFhHTHJEvxRPZIo9IlmJ6C9ER3gSogemRh9f8+63F/Y/7Nx0/OK7RSez59f0X3QiuaSx/4qmxOUno1eciF9xKnnRieTS01nFDanFjYOmVI/M2loEJk4Co8allZYUrFpfunXNjYuNX906/esHe757VvP5/ZrPHx365OGBhu7ykvri6XULV1/aXn2zpuHqsfarJz65c/bB/baee+ef3G59cqPl+c2WF7fO/DQyf1pCSCezd72k90y9n0Km7tnq9pPYzJeTKQQJFUjUqmNJjj64OeB7RRFIocgiY0XBvcnUpldqZhMLMi2ptKQSL9cXPrEAMQixGNEQIGMYF2QdIAKY1BVDTJhnyEIuIDD6uwfN/mZObaJ5IJn6bASNTBM2Xqr+W0AgmVryyWc5CZk+dcTLyTQ00CCKNpLpt5akQqsFvSYEtXntWv+X1uPCEpuJTJiQSWaC6M9MbCUAlGZsRYG3qrwq0eaA0ZV9+Ksv9WpNEFIQM4jhKF6iJZW2WClZZdzhQlS0Gp/kSUiLiEuP6pce3m+gs98gISo6KjFp4BuJm2eOe1q3/esruy93rylvnFh0YtCcE6kLmlKXnE0pae6/vCl51ZlBq85mrWseuqJhwKKTqQU1mWP2T09aPjd+/sKJZbtmb9hWvmfrvc5zPzw6/8MXNb/71dEvHx55dLey+05l5ZmSOUdnzapfuOripgNXDzZdrWnvPnqt+8Qn1+sf3zz97PaZF/daf3jQ9of75/43k0ng7LOY+Yr9C30OMdDJNIaaQRmgn0ImEkMhIdNnSHvLcbXVQD4ykUUmj/dlniTiJGNBJocSFUr0ubisgDhiNjlgYhFiEaLJ3EfdGgR33CMgcIwqh9ptqs1ho2UBmGkkccE288fIJBoj0roNoP96NBpqEtEhTfCACJy+tLBJkx8EeYE+OP0CCf9wMMNgMR+cPmG9lpXVyYRYSztr2gNMQ8xQmEW+mWAo8IaAAUKQgpCiOI4WBMYicYrMiDwKwfrDjCAGJHh6HQgQhBRAFKJYmheJwaQtVlq1yxHRcnSsLT7FE58eFTc4Pj4rNnFYdP8Rtvg0d0xKfFRc4ZCBDw9s/l83Tnx7e0/ruXc3n8wtPjaw6FTqitaB61oHbj4zqLxl6OaWt8obhpQ1ZCw5mTTrVOr0k6PyDxYNKS3NfXfH9JIt71Vsv9rS8PW1098+2P3d0wPffXni22dHOm5vP3h+2bpzS1afX7GidcV7bWXHOyo/urT/8vmD97pqn98+/dsHrb+73/bHe+f+dLv5/xSZfbaDBQEZJDzoTaZRAKQr2gHP900mz/cmk8Dpx1Iw0MjzQWTqIa7v1zG+AAkKEqfaSdqWklUt88QJgBN82iAOYBZiDpsYQibt61Ei/R8MAgIDZR57FCk5wjMoMXHQG8nJr8erLjutiJyqaO+kwOtt1r3J1OYG+YZ3aRMVDNvsIPQrBg0BI6lGQs2RphAhU/NvjR1YerrIBHszqQlig/q/tVY1A5kmjIyubwgNTCYAMUAUuW3ptt1IJplqixBNmXltW5EoIpYKsoN9ea19kwlMNEAUYjhGUDiLjbZYKcXGh7mVyBilX5wal+yOS4+IyYyKyY5+/e2o/mPCE4eoEUnhzujhCUmXy1b+raP2j127P29f2dRQsPtI9rojaevqU7c1pVU2pu89lVFRm7G98a1NTUOLG5PnnP1/mzv3oCjudO//uqebvk033XRPD93MOHdmhgEJCKXiej0gLKCL4mrM5uhuLns8ySabZL3saozHWwRZQN+ARsW7gpYXNIrKyzUISnmLOfrqYmlpaUlpaWnFipWt3cr6/vHr6ekZ0GhOvVXvVJcFI8w00J9+nt/ze57vd+jrDSOnfzkj9be/VX/xB98vpn340dzmrZvvdu7rP1t149yqu5c337pce6JnxbbmPy9r/M/3ds6etf71d9fOXFw7p3bzvK6Da/vadjw+1/T9maaHXfv6m7c/aNn202SiBtWPAUfsfqN2QC9HwwGdMAc+r01aGIgauJ8Z4ZBhdDL1J1+KTH3ZqTfHMwzCsMZv1N8U4/lBWwURlmMsCmNRaMkaIZPhAMMBmgEGMhGMhMsz1FAvpU3AIfJDh6hZLvu/paaWjsqZlZv76wkTxo3I9nndos0q2ZKMI8WRcbPodWbkgGTiJqgzYiz/oDFLzfDlG0luMVRrbYfu6zBZNQ7QICga7i7UydROBo9QGoUr3Mk0YcCEYXqajWu3D4Cg4X0bfFC+tKcQFEG0uVbNI+z5OevA745lFcWBicQojuEttGQlJIVJtAlD3KovaA2kqcFMeyDb7htp946xBXKVlHx7So7iznA70zJdydWz3rj55cr++qU3987rOTinsWF6zc4Jy7YOW7w5deW2jL/uGl6+feSC7ePmbBkxc9vQX+8LFddnTNowJXnWm8RrvxVCEz/8YG7Htm2PuxsfXai+fnr5zXPrrpyp6D5XUd+2cO6WGb+rmfTRhjc+rJz+l7I3tmycf7t1z5Pepn9daPu+58itYzv6Gjfcbdr8E2TGRI8XH/oVHDMgEolLMUBGZvNjyTQ6wBsT0WcAwHTUuFCMON4OuAvAj43fAhhGn/BADLPasHoMC8hQ3C3crhR5F7gExUQx6qz4+AiZcJ9T2xgwoQhCYFomRqAgqFh+mZ5amjXsV8My3s3Pmztt2ntTSkpzc7Mz0m0ehzjERkuiPlU8OJk6nFCKlsQQ3ISh6KD6VOiAq9lYf9KiJdxW1VNW1BRFJsxIdZk/jUzMyKeOq8F2JdLEHy4dmwxZ8oAhkNjPUc0GhiT11oIBa8uffEAyCYDTOMPTCTIjqUyijbe7rB6/1eNXfKlqMNOWMtwdHO0OjHeE8m3pRe6UMc7AKJsz3Znom5M78exfl9zdueLm9vnNu945tG92/eHXq/blzt+a9uHm4Afbhv7H1qG/WhvKrfYUbglMakjLrx9esmVm1odvC2NnKxnFf/poXuuWzf1t9f2nK652Lf22q+pM2/L2k8sPtPy5es87tYf+0Ni+bNOujzet+/jSsbpnFzqfffP1P3r/9+3ju883fNG7e/Xlg2ujyHx+j95zURyczHBcioFzECYNZA4MmxEyw8czAAAf/6pkRn0ZTUNDWNTM6VUrRNdihn5y0caskchsOJOow8wCmgEkA3AaiWNgmwtATShOEDQJfc4xAAIWYepr6e+NHzt7dM7CaaXLZv/7R9OnTc+fOCo7y+H1cEkKLYlEAh+TzWrZ40uQqV+1WDSZMZf1oGRGarwGMo1JbFRejQ84MEyTyQsPvkUmbEz6iJYJARgCMH0iBJ4OVG2OEGXCtOZhgzOCcXwkzJ3xzvOcdWYcQ5gFVpAZ0UqLCqPaRafH6g2IQ5JlT9Dqz1SD2e7gaE8o1/NagTNrkiclz5OSJ9mHK4lDx6QMr//TJ9fqyvsbyr5a/27jtncONL61/fCMlfXj5mzMKF0XyK/xjV/jyam2FW4P5e9MK9w+bua2t0uW/TFQ+qaYmvfxHz/p2b3jfseeB2eqrnYtP328rOPwZ80tn7afXN7as7T3fOWlb9Z3HCnr3lPxfc+RZ+c7n13ofNp9pO9QXcfWFc1bP+s9sCqWzIHFmOeROWjT+eBk6nnmK5KpRaQYMl8lZsJP4WtqXwZNZhkWNcONmQiZUAEVY2iAo3C4SRuP1MnUF6usVsuFn2o/MsWCOAYlWY1MEwZwXGtSBQAFwMkzpenpfyksXD5zRs2cOX99953/+NWk/FE5melpNreLVa2RmEnHdOcNRiauDVtiKIrrVR8EIGiUiPPA4g6KRLpnNedM4+5LmEzchOtjpVFGLCQxOJaYUauahHBqvwftYUIRHG4pYQAQKAoAQBETjWGkKRwbUQSLI1GawigKw/CYkg8W0WpAjLl3jCWZ3u5LMDyXYOXlJEZSCUkjU3Iny66A1Ruy+jOVQJbNN9IRGKOmTlBfm+j25yenFqueCQ7naCvv+aBoyterlzw9uvX2/rJLexf1Hprb1fKH/UffrNhb9MGusTO3jCxtyCre6v/13qFjvgyMWzd61pbfv7V2Xs67Mx0jJi3+y8ILBxrutu6+1bXycsfSiy3VV05+cflc9fX/s/7aldpLF9dePlNzpX3D7ebdP3Qdf9J+8J89TU+7v7retKlj1/ITuxaePaaTqUtFRTLYyOzlcxAVnhszDcu5gVXQ5x06ltqWY3S0NMZM447lwDXn81awA49I5mwUrQ57eGk9nzQDKAqwLBA09+IIlpGYGQ819QDNhPvmSIDBGWtUCxUoEGhiYnrqwhnTy996a+f8+WVvv1OcMyIzFByaErAPcXCyhZckRuCNIjqRYo+GIm6QIIn08aCDry2jcsVIKogAgKGDxD3DAY2DSDOL07RWvzGZAIbBXlmIHIQW9gMBkgAmFCVJ+JVa2DRhCGqCPkVaMA/bkAjmeLdiE8zxCEDpOIqmaAQLayNwEXdNlKYABBggWLgWi1MEYdbtWBAS1+YK4NwPMGmbNwA10bzAiRbOorKySstJXJJbdPklX0hwBhRvhhLIkr3DJe8oa3C8kpJvDU6UfWOCmZN9oQLVPcrjGZ6RMuzjGa9f3LzxyfE9j5o23z5UefXwkrPNixqPvb9y7/T3tub/f+7PYAAAFrpJREFUeuO4ki+HF9cGQ4viR68Kvb/l7cUbl70575Ocgqk1K8sedB3vb9/c2/jZxdYVfefWPrpRf/dvdb2nyk+c+Gx/48LGA4tbD5RfbFr/5FTj484933U1/HBm73ent187Vnnm4NJvm8oiPUB6wDSSOaD28/8pmVHV2uho+YJDP2edTMBQgMRw3VmEJBCGJUWJTrSSiVbjhooRTl3tUiczPCxmgmIAaJwJQQFHYtle5+/+bfyHJZOWzf73OcXFOampQa874POoNhsvSZwo0nw8xtCDFD8H6zTQXNwNmd7AZdjLkBlZMWJhA0yShEbXkdkRk0n/Xy1HDX8XbNMDOKYHT03JIazEC7VkAUAgmShisluUkNMj8gKG4TRFMzSD0zQnioxFwiUBMBTOc4JiFRQrwbLAhGEoRqI4hBtnSIKlUZoCGIZhOB1HwXE8ODELx4AATgKcxBgW50RSlEmLyqouwZkselIlbxrvSpV9GYp/uOQbLvpHKyl5alqhEiqyBfOCGVPcoSLFPVpxDncOSf3lqPEV7394bfvmx417nhzb/fD4xpvNazqOL6uu//0H60tLynJfr5ows3rsxP9Kf6/u9W0t1TsPbpzz57mlb7y9eXXFndaD9zq2Xji6tKtp0ZnOFX0X1n7dtry8duZ7S3I/LZ+2a/eCjsOVF47WPOje+/T0/oedO/s7Nt1sXnPm4NKv9yw607gsVm82ZgvkhWmtEBN5nkdmbEwbcLwamTCfHEBm5HUGy2N/AlF9PI0mAYmFESVQmuIsVpvbo3p9whAHKcu4JCECH9VgJPB6mx6gGdQIp8kEUBTEmQiaxHETgSMOkR/hdxePGDZ17Ogxr6W5k1R7kup2OVQ1SUq0sgkCyXERkwXdc/I5ZMZIsw9aIHllMo2x0ZjKRq0nTVGgwnsHZoIuCVBYUIur+sAqptWHAEBwknLaHEFPMkHRAEEhxgTDyLYk2W4jLCIw06QoKE6HzeVkBB6JI7A4kqEZbcWJo4AiAIkDzARtzzQmUdzo/oRQNKBZlBNw0cooTsEZkLxpkj9D9KULnnTZn20NjBT9OaJvjDWkkWlPKXCnTXaEilVfvtU1xjokOzWUUzy+ePms9xvmLen4vKp3TfXF7evOHNxUX19e9uWCwveLglMz0qdlvP7nGZ/XfbZ83dJ3/vTuqMIJ8z+a37Jta3/r3pvNX5w+vKj7+ILutkVNh/+4aeucuSsnvbNg/JK/vtl4YNnXR6qa61f07q88e2B1z57lZw6s+Lap/PzhFacPLj59aInmbKvTOJDMF8dMJGrTb0BtVt/Ef3Uytej0PybzZWJmhEyGAiQGCz8Ey1pV1ecPJqekKh4Po6q4JKEJgnGpCc8T9tBCMiGcGp9xBMBxnCEZnqXNFI6bGBy1snTAZQt5HA7FygucbJEctiRbks2WZDOSaWyyidFAiImZYCB7/5NsVucNDnkZDl3KCKILcByYTNoQZvicSY5jBJ5gwj29cOFqMsFXhokxEkeoapLH5YYMc4JA8/G8JCUHA8FQyOZ2QcFoTrZwsgVjaIBhGEUxZo6gSYyOiJggZhqQFMAICCTASa08HscgpDZ+gAoWiKXoGSr7h8n+bN43TAqOlFNypMAo3j+K942VgnlSSoEYzLcFiqyBQiU4SfUXy56JNm+uLyUvNX3iiED+r7JKf5Mz/a3xM+dO/89P58x79/fvFf7mTetrI4HFBSSn9Noo24hxdDAU+kXOm7+Z0bDmi74j+++3Ndxsqb5wYvHZtkW9nQv373t3V/3Hu+o/2V6/YPvuhV/tX9m4e0lt5Zy1n8/eVv3OzrW/P7F7wbcnKq62VX97YvWFY2Uv5WvyYjIHxeznkam37MArPjZyhndNjMcgITF6nfkyZCKG7giUJmCRVlaU9NS07GHD3f4AoyiYJMFTitwa9JgpSFrYZCJkojQDr2aSpXmR54V4ksQxE0KgCMsxHM/SZopkKC4hXk60KIpqS7IxAk9ymmBHTO9b1NCmfkClWQN7P3Odqc+ORG+EGBvWjSrPDBfP8jwSRwAAAIro8RxlGVoUeEkiOU5Lg6F1Co7BiBp20TaxCYJVVRmB5yXJPsQhWCycKIaCweGZw9JT01iLpAtJw7wDiSNwmmbMHMEwmj6OwOGCAJ1REIrWUKRYQDKAZAHFAToeMAIuJQnOgORNl32Zki9LDIwQ/TlyaJwcGicFxwn+cYJ/gqiTGSqxBorlwGTRN5lzFsqeAnugyO7N93hLkt3FDiXXJo3z2PKcnnzePhpTszBxDGPJBfQIYB6OyMODIwsX/mlh0+at15r29bfsuXNiw8Oe2jtnV1/sXnzx1JLezk97OyrPdq35uqVq585F1Wvf//zz2YsXTv38v0oPbPmkcevc7sYV19prr7XXXm5ec6W1+kVkDial98pkGp9/AZlR4Vfg0QThp8k0NMG+gMwXvC/G8+HcO6IqhpspMoEnhHib3T5iWNbwrBE2twd6SOE6nNGRHA58IiyvR2w9ZqIkiZspNiGeS4gnGQrHTZgJASYAMASNw3CGJFmaTYgXLBbBYqH5eCjYoTeLG0tBMcp6KE3F6Fn+/ApQOIPVc1dN3nbAO8LhhMzUoVlp6arNphOLmGkygYdaAYykrZaN2pYAxwBJsAkCbmaACSVYlpckXpJsdnswEJAVBTczDrsjM3Vodmq6ZJGxOBKWiLUCrGFiG8RhgMQBQ2ubVXGkNpTH8oDhAcUBigOMAMwiYGUi0Sm50mRfpuwdLnlHyr7RUmCMnDJeTsmVghOkYJ6cMtGaUqiEiqwpRWqoRA5MlvwlgncS6ywW3MWqb4rqneQIvGHzvS67pstDpsnOqZxayFhyucRcQSgU+AKGGZs7ek7ZgtrmbQevHD1x49hXD9vr77dtvtO85l53xZ2zZX1nV1w9V9Z3pvxy95rznWt6mqu31S1YuHjG3Pkl1WWzmnbNv9Sy5sLxymudG+6fbeg/vfN6x6ZbHXXPdbYdUJV9KTKfV9d5eTLhNuZPkDlYe/rg/Qw/lc2GdzgJ3TqO5BhCiIdkZqanD03LkO0OOtEqDHEQFosOp/HEIj5/5si2kJbNkgRCkbiZws0URhNoHIZhJsgQdNEhOYYReFoUMC5sGcbQenQyZrb6VMfzyPz52Wx0zIx2AY16R3gaTpcr4PeLsgxMKDCFJb9oEl4khMHNHqbESFjbkpck3MwAzAR/QDZBcLpc2RmZTpeLYFlFVlI9yZm+oMjysJyLARTVdLdQBDXhuDZ6BmgatoKhZg6lGcBwCMujUMzJzAOzCFgJ4RRMtLFJfqsnQ/VlW305Vu9oq3+s4p9gDeXLKROlYJ4cLFCChWpKkZpSrASLrMESKThZCk4RAyWSb6rsm6r6pjgCpUrKbCllFh+YzQZmC/7ZnH0abylULIUcnZOclDcuo2TTwsorjV/1tx991PXV9ycPP2zb8F1H7eOu6pttSy53Le47v+rK2fJLPasudZWfby2/2FF7bN/K2ur3t9V+9PWBZddP1vR1brjU8sXNk9u/v/jV0/9uenh6/73ueoAaEleIYgyZP1kB+n9NZoQBvQfI8OTA9335CpBGJkUBEgcUAcmkeRbe+G12eygY9PgCvKLiksSoKmGxRBqAjEdY9ET7WRgWUDQgKcNWpAnEmQCOAgyFGpMAQwmaZAUOqmnQogAYLU7qts0DyTTCOSiZAx8/Y9dE3zLR33FgWislWhmBBzgGrccRM02LgmZozzI4z8HEVVckYQSeTRA4UcQYGuAYSlMAx4AJFWU5Mz3d7XYTDMOy8TbJ6raoLE7pG5io9gGKm3AijiRphmDhfjgNf9UoxQGaBWb4VxABKwFWQgQVE22smiw5UxVvps03UvGPUv3jVP8Eq2+8kpIv+/Nlf741UKAEC5VgkewvkP0FYmASJNMaKlVTZlj9pVbPFLt/qi31LTFlNup5E3jeIHyzOPt0VigQmHEj/EVVc1Y2l6+/uX/PveaGJ90N/zhd/7Sj7mn3uu/aK5/0VN49uexq92ffnl7e27H0Uvfqu+drrnZVXula13N0TevesmtddffP7ejrXHuptab3cOWl5g2Pzx/+8VLL0/NNj04dBJEpLZ7DhXgdRd2zKVruOarD+8URKYaBMMz8YEdEPSRqWjoGA5bVdk0Mk5aQWB0JLV4xrJFJzQcWduoZ7hdEeFsfUkGwLFz5MBaJlS2yLcnmcsp2Gy2JmMjjcvhkDItMvUvemEtrzXoUDSgMoXCUJjS7Lih+g6GoCUXjMJKheJEXLCIj8YTAYgKj94vqhgua2x+tbb7DaIabtckB+JqIYbjkpcgEMD2MtAEBHIUJNryVwKwVKt9pcn5w8EB3v6S1J/VmRsBQ8GqB/+rFbXgHIViWNLOkmcUoSlO4N2EoTgCTSRCl9NS0YCBAMAxATTRFk7hWaCIQTDd71x4ohuIUQbGaIBNJaVUMhjNMzIuIoOKSk7R4RGeq6humeLMkZ7bqHW0P5tn8E1VfvuorsAYK5VCRHCpUgoU2f4Hiz5d8EyVfvjVQqKRMkYPTpMA02T/D6n9D8b/Bpc0mAjMx/zQ+bTZqm0TIuULiSI971P96f/79Q/ufnTl841D5xX1LbzRV3Guu+L694vGxJQ+bl99rLb/VWXGlffX55mW9LYvPt39259S6+2c33Tu16UZ77Y322js9dbdP1V1tX3u5Zd2V1o23uxueXmr+19Wvn1xo6j/Z8CIyYYN1dE1I3yCBg1GvhOWAxvfBvjJKauSFZBq2E2OrssZOIL1L1kgm/IsaLbHhvjbNxwsWi+J0WIfYpSSVtUgk/CUIHEjgYtplX0SmdoSxNNoWwNwPQzGaoHmWETicZwBLAjOhz8ppYMAAFSZTM72jKdzMYDC1CXcaYC+3nxn5AIkMYQIT0LTbSVhx1fyhEYpEo0X3I6tx6CfNUFpBmyIAQ2E8B03BNU1witC3efTSrtZ6ATUmcQLFCckiZ4TSQsEgaWYBikJXTzqOIXGNTABb+UwoGodBVQS4KYKSNEpxUFwC40XAwMjJA1YAjAVNsLOK3+pKt3mHKe5hkjPb5h3rCxUEUkuSQ5MVb77sL5CDhdaUIntKkSNYZA8U2oKFaspkyVsseCdJwSlKaIY1ZboUKBUDJbR/JpfyBuObTjgn00PyycThOaOKyuYtfNy6/9mZxh9P1d05tuLqkc9uHF/e37zkcdviR01LHzWvetBecauj6kpb+YWW5Rdal11sW3r75Jp7p9ff69lwq73mVvu6u92b7vTUXeusefzN/gfn9j06f/jHK+3P/vb13y823evarZGpZ7PaGJchZhrIjG7Be2HZ83lYvhhOI5m4IDyXzNiN/giZxn0L/Q8JjA4ixoHMcC+7fgnSomBVVbvHrbqcfKIMn8d4DhN5ROAitVljxGaj8vaokRoziTEkJFPz+dEOBOAoShMkxxACi/I0YEnAkhFlFgOZusKVtlNiIBO+JmKQNYmSaUcGJxPDTALHWWWLnGihOQam2VDoAOA4XATCzRuj6L5xpk83dddax2gSYRkigReTVFa24EJ8FJl6yRdiCaddMByLIwGCchwfcPs8LjdpZgGGoSQJTBhOUgRsIQIoQFDUhOIUQbI0I1owhgUYDnASp+MJs0BzEilYCEEGDA8YHhUsCC8DSgSsyiYmW51DFWem6spW3aPcgQmBUHEgNNkdKFJcebJnouwvsAYK7YFCT6DIHSiyBwrtoVLRN5lxF7K+Ei5YwgaKmUABEyjgPa+zzhKrZwomjhTtIwp/ObWhpvxKy45/nmt42F5751jZ7eMrbx4vu91cdr911XetSx81Lf+uteJRZ/Wd9jXX26v6Oiuvnazo6yq/2bH6zsmqO+1V109UXj9edbuj9s7J9Te6am/1bL5/tuGHS0d/vNz8/dnD97oa7nfuAPq4k84MMAwrwlGsGMYQvU/1VWh8GTh/gky4zgyrDcTUZiNkQqetOArFKSgJC3SpZZqJ2ssJu8fBqUjYd2JzOa1D7Fa7jZMtMFvDhfgoMgfk0lFtFYZwDS9ibUMyPIoBTNqGIcbQRDgxATyLCJw+7KKrAWmVz2gydZsQXYEOHZDQImENkUFiJoqIopDsdgV8Hqsi4wwJycRorR4rWCxKUhIvSc+bp9Vipq73Z6ZhwIRkEkJ8zOR3ZDMm/BtAcQInKQAAjhNigiSJFigXhNIUiMOhA6LexAtd1RgunldU1MwBnABxDMHwhFkkWYlOsGIJCpagkBZVUFyc7CATbHSCU1QCNmembUiWzT3S4Rnj9o0PBIsCocm+YLHqzLN6Jlq9+Yo/3+7Nd3ryHd58uzdf9hdJ3mLOW0y6iwn3JMI3mQ5MYUNTFG8pK0+Qk0bbhmRNHJe/q3Lpg3N7rvdU3W79or913cOWuoet2+6e2HzryLqbhyrvHa54dLzsaefapz3r75+svdtTe//spkff1D08u+H+6bWPTn/R31XVd6zsRnPVw966787vuHdqU8+hsmsdmx6d2//w9N7rJzZdPVJzu2UjGDiFqJOpD0m+Epkvg+UAMqN2UGFeTSTw2ryiofnhGQDwOoaXsv6/iJ6U0iTAw00qJkzzt2TCVxK8zevdiDwLOM1aF+M5UhQEVVGdDilJ5RNl1iJxogivM/jFmlly9Ckh4XirX6lGJQe9iqNpw8K5KrhLAU2ywj4UgA8bEMA9dIYylmR1GBAzDUWVMIY2rh1jarPGKQz9gaFh6TATynKsKAoMz0JNIJTCcYbEaZpNEBxOZ7Iv2Wa3IwOG4HV7zxgTe4zniASelS20KOizMhHfoTgC9vHADBbFCRwncJxATSiGmYg4HKegdwsGSAzEodr36p5rJgwWpWjJgjAs1BPFaB4heYwWCc6K8iptcXKqS1Tdss3vcGcMDY3OzpjgcGep9mF2Z7bdPVoZkmNzjfX48t3eApszV3Hlyt48xTvR7sl1uHMd7ly7J5d3jhE8eZy7iHRPIj2lfHAmH5zJ+EqlpHGimu3xDptVUrJl5byLh6out6642Dbv8pFl/a01/U2bbh7ceOtw3cXdlb0bl/TVlz9uqfihq/bJqY0Putfd793w98u7//W3vf+8XP/kwoYf/nvzg96aW60V93rWPbt28Nn1rx5d2HH6aFlfx/q7p3bcat96pan20pE1fc01ETIBx8UoI+slx4F5bLjJdnAsB9VxRrn4QTUQBjY2QDJJUdDKCYYqsU5mFCHh9p1wdMIAZoJ9J7DzayCZ2psmxAOOASwNeBZNiCcSeFoSWdlCJvAwpSQ5jmBZQJPATGMirwsUxZw/0OfFmLDJR1haJSZmaiMdBglzvbJi9N5GDC+ovUJ45ABlGZLjIlPFYf5QxIREHMoGJ3OQB5SHpnAYM3Gapvl4JSnJ4XTKiqLfZfQ8NvJ7Nrplhw/oLARrP2GfMgxgmD6ijZE4GofhuKadh+OYZtQHxeOhjCCN42YKY0iUCo+/6DqaDAsHehCSA3HxAGNBnICyVkx0MLKLTXSzFqesJg9NHVU8duqbRbNDoTGh0Jjs7KJROVMDKXk212jFOUay5dic41XPBNk7QfGNt3vGOzzjHZ7xdu9YyT1KcI1l7Hm0vYhxlnDuaaR9EpAn0FIoGMr63YzJjes+vXCg7Hrr6ivNi662L+jvXPGos7r/6JoHx9b9vXv77aMVl3Yvfnh8zb3migdt1Xfbq260Vd3prnnyzbZ/XNr9w8Udt3rW3jtde7Oz6krzqv5TNc+uH/jx+sG7vXU9x1b1da2727v9esemb49/8W3z2r6umv8L6HO+e+VHO7UAAAAASUVORK5CYII=" 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También el domingo hubo adquisición de imagen por el Landsat 7, un viejo conocido que sigue orbitando nuestro planeta y proporcionando imágenes interesantes a pesar del bandeado característico de su sensor dañado en 2003, el ETM+. Una combinación de color 5-4-3 (SWIR-Infrarrojo cercano-Rojo) evidencia también la zona afectada a la hora de captación (~12:00 PM) y las nubes de humo. La estima de superficie a esa hora es similar.<br />
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<a href="https://3.bp.blogspot.com/-J3KF0yVmevk/WVDez6qYVoI/AAAAAAAAzW4/Dl_iTsc9gNg7dRQt8lDgBda0eqZwnHphwCLcBGAs/s1600/LE07_L1TP_202034_20170625_20170625_01_RT_B5.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="530" data-original-width="535" height="396" src="https://3.bp.blogspot.com/-J3KF0yVmevk/WVDez6qYVoI/AAAAAAAAzW4/Dl_iTsc9gNg7dRQt8lDgBda0eqZwnHphwCLcBGAs/s400/LE07_L1TP_202034_20170625_20170625_01_RT_B5.jpg" width="400" /> </a></div>
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Finalmente, el día 26 pudo descargarse la última imagen MODIS Terra en la que se define el perímetro casi definitivo pues los medios de extinción y las condiciones meteorológicas controlaron el incendio durante la noche y hoy día 27 <a href="http://politica.elpais.com/politica/2017/06/27/actualidad/1498543283_851976.html" target="_blank">se ha dado por controlado por el INFOCA</a>. </div>
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" 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Sobre la imagen se han superpuesto los acutales límites del Espacio Natural de Doñana (con la última ampliación). Además en negro se ha incorporado la localización de las parcelas del <a href="http://www.juntadeandalucia.es/medioambiente/site/portalweb/menuitem.7e1cf46ddf59bb227a9ebe205510e1ca/?vgnextoid=36690f6918730510VgnVCM2000000624e50aRCRD&vgnextchannel=19091716c01f4310VgnVCM1000001325e50aRCRD" target="_blank">proyecto LIFE Adaptamed</a> en el que participa la Estación Biológica de Doñana a través de su Equipo de Seguimiento de Procesos Naturales. Tres de las nueve parcelas ubicadas en la zona del Abalario en 2016 han ardido presumiblemente. Una línea roja delimita de forma grosera el perímetro casi definitivo, proporcionando una superficie preliminar quemada de 9500 ha (insistimos: PRELIMINAR, a falta de confirmación oficial).</div>
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La imagen del Sentinel 3 (300 m de resolución espacial) del mismo día confirma la zona afectada.</div>
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" 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Desde este momento el LAST-EBD se encuentra a disposición para poder elaborar cartografías detalladas de la zona afectada mediante imágenes captadas desde satélite o bien desde dron o con sensores aeroportados. Asimismo es crucial llevar a cabo un seguimiento del proceso de regeneración y de las actividades de restauración de la zona afectada.</div>
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Seguiremos informando.</div>
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Ricardohttp://www.blogger.com/profile/08040956469031675126noreply@blogger.com1tag:blogger.com,1999:blog-8015925519704443818.post-83525114302099674302017-03-19T12:00:00.000+01:002017-03-19T12:00:01.840+01:00Doñana bajo las nubes<div dir="ltr" style="text-align: left;" trbidi="on">
El día 13 de marzo pasado había una oportunidad especial para el LAST-EBD. Coincidían tomando imágenes sobre Doñana dos satélite con características similares: Landsat-8 con sus sensores OLI-TIRS y Sentinel-2 con su sensor MSI. El sensor OLI-TIRS es un heredero mejorado y con más bandas de los TM de Landsat 4 y 5 y el ETM+ aún operativo en Landsat 7. El sensor MSI (MultiSpectral Instrument) tiene características similares a OLI en algunos aspectos pero difiere en otros. La resolución espacial es mejor en algunas bandas, tiene bandas con 10, 20 y 60 m de resolución espacial frente a los 15, 30 y 100 m de OLI-TIRS. <a href="https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/spatial" target="_blank">Aquí podéis ver</a> la ubicación en el espectro electromagnético y la resolución espacial de las 12 bandas de Sentinel-2 y en <a href="https://es.wikipedia.org/wiki/Landsat_8" target="_blank">esta otra página las 11 de Landsat 8. </a> <br />
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Los dos satélites sobrevolaron Doñana tomando imágenes con diferencia de minutos, así que era un gran oportunidad para comparar los dos sensores. En el caso de Sentinel 2, y dentro del proyecto ECOPOTENTIAL, además se están probando distintos algoritmos de corrección atmosférica y por lo tanto era un gran ocasión para tomar datos de "verdad terreno" (o lo que es lo mismo medir sobre el terreno la energía reflejada con un radiómetro, bueno, bueno,.. y ver si las correcciones de la imágenes funcionan bien). Pues nos la veíamos muy felices, después de una semana de anticiclón y clima casi veraniego. Venían también a realizar medidas en el campo Xavier Pons del CREAF y José Antonio Sobrino de la Universidad de Valencia. Pero horas antes entró una masa de aire frío y Doñana se cubrió de nubes. Esto es lo que pasa con los satélites ópticos. Si hay nubes no ven y las imágenes valen para poco o no valen para nada.<br />
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Además se levantó un viento fuerte que nos impedía volar con el dron, que también queríamos tomar datos de manera simultánea y calibrar la cámara que incopora.<br />
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Luego por la tarde ya estaba disponible la imagen de Landsat 8 y unos días después la de Sentinel 2. Aunque los datos no valen para nada, en esta ocasión, por las nubes. Las imágenes son curiosas y bonitas, y por eso me pareció interesante hacer este post.<br />
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<tr><td style="text-align: center;"><a href="https://4.bp.blogspot.com/-pbOBZEj-HWQ/WM2Z3QML00I/AAAAAAAAR-o/gPZKjFg7wVcXXDprSJ23ZT7qbNz_wCtQwCLcB/s1600/Landsat_8_ESA_from_2017-03-13-1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="236" src="https://4.bp.blogspot.com/-pbOBZEj-HWQ/WM2Z3QML00I/AAAAAAAAR-o/gPZKjFg7wVcXXDprSJ23ZT7qbNz_wCtQwCLcB/s400/Landsat_8_ESA_from_2017-03-13-1.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Landsat-8 imagen falso color de Doñana bajo las nubes (13 de marzo de 2017)</td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://1.bp.blogspot.com/-JYto34-lCHA/WM2awLOcGJI/AAAAAAAAR-w/paFY1dcyoTwzM_61G1FjaBR2QcrlohMlwCLcB/s1600/Sentinel-2_from_2017-03-13.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="236" src="https://1.bp.blogspot.com/-JYto34-lCHA/WM2awLOcGJI/AAAAAAAAR-w/paFY1dcyoTwzM_61G1FjaBR2QcrlohMlwCLcB/s400/Sentinel-2_from_2017-03-13.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Mimutos después la imagen de Sentinel-2 (falso color) también co nubes (13 de marzo de 2017)</td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
Las imágenes están sacadas a través de un nuevo visor que ha publicado la ESA y que me enseñó Diego hace pocos días <a href="http://www.sentinel-hub.com/apps/eo_browser" target="_blank">(Sentinel Hub)</a>. Es muy interesante ya que carga muy rápido las imágenes, además permite visualizar distintas combinaciones de bandas de las imágenes. Permite visualizar Landsat 5, 7 y 8, Sentinel 2 y Sentinel 3 (el equivalente a MODIS de la ESA). Y además permite comparar visualmente imágenes de distintas fechas o de distintos sensores. Aquí abajo tenéis una prueba comparando las dos imágenes anteriores de Landsat 8 a la izquierda y Sentinel 2 a la derecha.<br />
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<a href="https://3.bp.blogspot.com/-XQJwG5FwF0Y/WM2cpKCas_I/AAAAAAAAR-8/iC__rROyrZ0AKy611jT-QhYkfIfljO_tACLcB/s1600/Landsat_8_vs_SEntinel_2.jpeg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="287" src="https://3.bp.blogspot.com/-XQJwG5FwF0Y/WM2cpKCas_I/AAAAAAAAR-8/iC__rROyrZ0AKy611jT-QhYkfIfljO_tACLcB/s400/Landsat_8_vs_SEntinel_2.jpeg" width="400" /></a></div>
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Bueno, siguiendo este enlace podéis acceder al visor:<br />
<a href="http://apps.sentinel-hub.com/eo-browser/#lat=37.6968609874419&lng=-8.6572265625&zoom=7">http://apps.sentinel-hub.com/eo-browser/#lat=37.6968609874419&lng=-8.6572265625&zoom=7</a><br />
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A bueno, ... habrá otras oportunidades de comparar los dos sensores. Tenemos apuntadas las fechas en las que los sobre vuelos coinciden y en alguno de ellos; pues tendremos suerte y no habrá nubes.</div>
Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-55028587052076727972017-02-11T12:00:00.000+01:002017-02-13T21:31:37.696+01:00Creando un "Espacio de Operación Seguro" para Doñana<div dir="ltr" style="text-align: left;" trbidi="on">
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<a href="https://2.bp.blogspot.com/-Uylfz4hQrrs/WJtMJY5OPnI/AAAAAAAAR74/xQY70w7EUNoId3A-6fL6XMxUkwHzckjCACLcB/s1600/Safe_Operating_Space.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://2.bp.blogspot.com/-Uylfz4hQrrs/WJtMJY5OPnI/AAAAAAAAR74/xQY70w7EUNoId3A-6fL6XMxUkwHzckjCACLcB/s320/Safe_Operating_Space.jpg" width="272" /></a></div>
"Entre todos la mataron y ella sola se murió". Este refrán español viene que ni pintado para introducir el concepto de "Espacio de Operación Seguro" o en la terminología anglosajona "Safe Operating Space" aplicado a la conservación de los humedales mediterráneos, como Doñana. Y viene a cuento, por la reciente publicación del artículo de Andy Green y colaboradores: <a href="http://esajournals.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)1540-9309/" target="_blank">C</a><a href="http://onlinelibrary.wiley.com/doi/10.1002/fee.1459/full" target="_blank">reating a safe operating space for wetlands in a changing climate. Frontiers in Ecology and the Environment".</a> <br />
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<a href="https://4.bp.blogspot.com/-MyeupzciHoE/WJtLhXXPTiI/AAAAAAAAR70/3QkBTtaOTbI4Z_vkzZHD2Bg0wWYtEKs_gCEw/s1600/dscf0005.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="240" src="https://4.bp.blogspot.com/-MyeupzciHoE/WJtLhXXPTiI/AAAAAAAAR70/3QkBTtaOTbI4Z_vkzZHD2Bg0wWYtEKs_gCEw/s320/dscf0005.jpg" width="320" /></a>El concepto nos recuerda la campaña del WWF bajo el lema <a href="http://last-ebd.blogspot.com.es/2017/01/se-seca-donana.html" target="_blank">"Doñana se seca" </a>que ha traído a la palestra los problemas de conservación de Doñana, y que siempre puede verse como la botella "medio llena" (se ha ido incrementando la superficie protegida en el Parque Nacional, se han desarrollado programas de restauración como Doñana 2005) o "medio vacía" (se incrementan los regadíos en el entorno, se quiere dragar el Guadalquivir). El artículo de Andy y colaboradores, en el que el <a href="http://web.ebd.csic.es/Website1/Zesp/Sede%20Central/LabSIG.aspx" target="_blank">LAST-EBD </a>ha participado aportando datos de teledetección, plantea que los impactos en los humedales son acumulativos ,y dado que podemos hacer poco frente a impactos globales como el Cambio Climático, que afectará a los humedales mediterráneos, reduciendo los aportes de agua y aumentando la temperatura, deberíamos tener una gestión local más activa. Está claro que a Doñana hay muchas cosas que la pueden estar matando. Si queremos que no muera tenemos que tomar acciones de conservación más activas, que den más capacidad de respuesta al ecosistema ante los cambios que se avecinan.<br />
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El artículo original:<br />
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<a href="http://onlinelibrary.wiley.com/doi/10.1002/fee.1459/full" target="_blank">Green, A.J., Alcorlo, P., Peeters, E.T.H.M., Morris, E.P., Espinar, J.L., Bravo, M.A., Bustamante, J., Díaz-Delgado, R., Koelmans, A.A., Mateo, R., Mooij, W.M., Rodríguez-Rodríguez, M., van Nes, E.H., Scheffer, M. 2017. Creating a safe operating space for wetlands in a changing climate. Frontiers in Ecology and the Environment"</a><br />
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<h2 style="text-align: center;">
Doñana corre riesgo de colapso sin una gestión local más activa</h2>
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<a href="https://1.bp.blogspot.com/-kmnXzRdfmdo/WJtLi0NcUhI/AAAAAAAAR70/LIadBRMVpk4kgb7u_Afp3hFlFC0AH3hIgCEw/s1600/dscf0155.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="240" src="https://1.bp.blogspot.com/-kmnXzRdfmdo/WJtLi0NcUhI/AAAAAAAAR70/LIadBRMVpk4kgb7u_Afp3hFlFC0AH3hIgCEw/s320/dscf0155.jpg" width="320" /></a></div>
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Sin una mejor gestión local, los humedales más emblemáticos del mundo corren el riesgo de colapsar debido al cambio climático<b>.</b> Proteger del cambio climático a humedales de importancia internacional, como Doñana, requiere que se reduzcan las otras amenazas que padecen, como los excesivos aportes de nutrientes de los abonos agricolas o de aguas residuales, y la explotación intensiva de las aguas subterráneas y superficiales.<br />
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El Parque Nacional de Doñana es uno de los pocos humedales del mundo que está inscrito en la lista de Patrimonio Mundial de la UNESCO. Los autores del artículo avisan de que los problemas locales, como el deterioro de la calidad de agua por los aportes excesivos de nutrientes o la explotación intensiva de los acuíferos, pueden exacerbar los efectos de eventos climáticos extremos, tales como sequias y olas de calor, reduciendo la capacidad de los ecosistemas acuáticos para soportar los impactos del cambio climático. <br />
<h4 style="text-align: left;">
<span style="color: #ffe599;"><i>"Demostramos que la gestión de amenazas locales puede expandir el ‘espacio de operación segura’ para estos ecosistemas. Una gestión local inadecuada hace que un ecosistema acuático sea menos tolerante al cambio climático y se reduzca su capacidad de respuesta"</i></span></h4>
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dice el profesor<a href="http://www.fbbva.es/TLFU/tlfu/esp/noticias/fichanoticia/index.jsp?codigo=1844" target="_blank"> Marten Scheffer, </a>ganador del Premio Fundación BBVA Fronteras del Conocimiento en la categoría de Ecología y Biología de la Conservación, y director del Departamento de Ecología Acuática y Gestión de Calidad de Agua en la Universidad de Wageningen, en los Países Bajos.</div>
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Los autores examinaron otros cinco humedales de la región Mediterránea inscritos en la lista del <a href="http://www.ramsar.org/es/node/5696" target="_blank">Convenio Ramsar de Humedales de Importancia Internacional</a> que ya están muy afectados por la sobreexplotación de los recursos hídricos. Estos humedales, que incluyen las Tablas de Daimiel, sirven como ejemplos de lo que puede pasar a Doñana sin un cambio en la gestión de agua en su entorno. Doñana está sometida a una presión cada vez mayor, tanto debido al cambio climático como a las amenazas locales. <br />
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Las marismas de Doñana en el sur de España son el lugar de invernada más importante en Europa de anátidas y otras aves acuáticas, con más de medio millón de ejemplares. Además, Doñana tiene varias especies endémicas de invertebrados y plantas acuáticas, incluyendo planarias y diatomeas. La entrada de nutrientes por el uso de abonos agrícolas y aguas residuales, combinada con la pérdida de aportes de agua por la extracción de agua subterránea, están reduciendo el caudal y la calidad del agua en los arroyos que abastecen sus marismas. El caudal de la Rocina, el arroyo que desemboca en la marisma en El Rocío, se ha reducido a la mitad en dos décadas, mientras la concentración de fósforo en las aguas se ha quintuplicado en los últimos 15 años. Los síntomas de que Doñana ya está afectado por estos cambios incluyen los brotes de algas tóxicas y la expansión de una especie exótica de helecho flotante <i>Azolla filiculoides,</i> lo que pone la biodiversidad natural en peligro. Según los científicos, un aumento de temperatura favorece la expansión del helecho e incrementa la frecuencia de brotes de anoxia y de algas toxicas, causando la muerte de especies autóctonas<br />
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<a href="https://4.bp.blogspot.com/-8lSVOnLptHQ/WJtLgSGTvoI/AAAAAAAAR70/y-OiVKuiKVQZF39RdGtMcw3dczZnO4tngCEw/s1600/imgp0424.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="240" src="https://4.bp.blogspot.com/-8lSVOnLptHQ/WJtLgSGTvoI/AAAAAAAAR70/y-OiVKuiKVQZF39RdGtMcw3dczZnO4tngCEw/s320/imgp0424.jpg" width="320" /></a></div>
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<h4 style="text-align: left;">
<span style="color: #ffe599;">"Al disminuir la entrada de nutrientes y las extracciones de agua, los gestores podrían reducir este riesgo y por tanto aumentar la resistencia de Doñana al cambio climático", </span></h4>
dice el primer autor del artículo, <a href="http://www.ebd.csic.es/andy/" target="_blank">Andy Green</a>, profesor de investigación en la Estación Biológica de Doñana (EBD-CSIC). Green añade que las medidas contra la eutrofización podrían incluir la reducción en el uso de abonos, la mejoría de los EDARs y el cierre de los pozos sin permiso que reducen los aportes de agua a los arroyos que entran en la marisma. <br />
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Además, en sus dunas Doñana alberga el sistema de lagunas temporales más importante de Europa, con la formación de más de 3.000 lagunas durante los años húmedos. Pero la extracción de agua subterránea para la agricultura y para el turismo de playa (en Matalascañas) está detrayendo recursos hídricos del sistema y las lagunas tienden a secarse antes que hace 20 años.<br />
<h4 style="text-align: left;">
<span style="color: #ffe599;">"Si estos ecosistemas acuáticos colapsan, podría significar la extinción irreversible de muchas especies", </span></h4>
Según los autores, urge que las administraciones y la sociedad reduzcan las amenazas locales que afectan a los humedales icónicos como Doñana. "La UNESCO está preocupada por Doñana y considera que tiene un grado de amenaza Muy Alta por el deterioro en la cantidad y calidad de agua disponible" dice <a href="http://www.ebd.csic.es/andy/" target="_blank">Andy Green</a>.<br />
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El artículo pretende, sobre todo, concienciar acerca de las oportunidades para mejorar acciones de conservación efectivas a escala local.<i> </i><br />
<h4 style="text-align: left;">
<i> <span style="color: #ffe599;">"Las opciones para la gestión local son claras y relativamente baratas. Se debe aprovechar esta oportunidad, sobre todo cuando se trata de ecosistemas de importancia vital para mantener la biodiversidad global," </span></i></h4>
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-10238584947849266762017-01-28T11:00:00.000+01:002017-01-28T11:00:21.690+01:00El hidroperiodo en las marismas de Doñana<div dir="ltr" style="text-align: left;" trbidi="on">
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En este <a href="http://www.mdpi.com/2072-4292/8/9/775" target="_blank">nuevo artículo</a> presentamos un método semi-automático para discriminar áreas inundadas estacionalmente en las marismas del <a href="http://donanareservas.com/donana/" target="_blank">Parque Nacional de Doñana</a>. Usando para ello una larga serie temporal de imágenes <a href="https://es.wikipedia.org/wiki/Landsat" target="_blank">Landsat</a>, de los sensores <a href="http://landsat.gsfc.nasa.gov/the-multispectral-scanner-system/" target="_blank">MSS</a>, <a href="https://lta.cr.usgs.gov/TM" target="_blank">TM</a> y <a href="https://lta.cr.usgs.gov/LETMP" target="_blank">ETM+</a>, desde 1974 al 2014. En los últimos años, desde el año 2003 en concreto, hemos realizado campañas de campo tomando datos de verdad terreno de manera simultánea con el paso del satélite. Unas veces los datos no eran buenos, otras no había agua, otras el satélite no tomaba la imagen, y otras había nubes; pero “la paciencia es la madre de la ciencia” y al final conseguimos reunir la información suficiente para nuestros análisis.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://2.bp.blogspot.com/-ky1GS0Yq3t8/WHtknmsSWJI/AAAAAAAAR5c/pD7r8cpm_owsN_Q7LP0lW5jVloytB58hgCLcB/s1600/hidroperiodo4.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="212" src="https://2.bp.blogspot.com/-ky1GS0Yq3t8/WHtknmsSWJI/AAAAAAAAR5c/pD7r8cpm_owsN_Q7LP0lW5jVloytB58hgCLcB/s320/hidroperiodo4.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Trabajo de campo en Doñana. Azolla filiculoides pretende devorar al investigador, que se resiste.</td></tr>
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El trabajo ha sido publicado en la revista Remote Sensing y se titula: <a href="http://www.mdpi.com/2072-4292/8/9/775" target="_blank">Long-Term Monitoring of the Flooding Regime and Hydroperiod of Doñana Marshes with Landsat Time Series (1974–2014)</a><br />
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En el trabajo comprobamos que la reflectancia en la banda 5 de los sensores <a href="https://lta.cr.usgs.gov/TM" target="_blank">TM</a> y <a href="https://lta.cr.usgs.gov/LETMP" target="_blank">ETM+</a> (1,55-1,75 micrómetros) es el mejor criterio para distinguir la inundación, ya que el agua es muy poco reflectiva en esta longitud de onda, y permite distinguirla aunque sea una capa muy somera y estando bastante cubierta por vegetación. En <a href="http://landsat.gsfc.nasa.gov/the-multispectral-scanner-system/" target="_blank">MSS </a>usamos la banda 4 (el infrarrojo cercano). No es tan buena, porque cuando hay vegetación la alta reflectividad de ésta en esta banda camufla la baja reflectividad del agua. Pero por desgracia<a href="http://landsat.gsfc.nasa.gov/the-multispectral-scanner-system/" target="_blank"> MSS </a>no tenía una banda en el infrarrojo de onda corta.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://2.bp.blogspot.com/-Of-NFPAMxB0/WHtkqTu6nlI/AAAAAAAAR5g/O8Kk9xjYXdgM-VGjKGf9OWbDw5_AulNBwCEw/s1600/hidroperiodo1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="213" src="https://2.bp.blogspot.com/-Of-NFPAMxB0/WHtkqTu6nlI/AAAAAAAAR5g/O8Kk9xjYXdgM-VGjKGf9OWbDw5_AulNBwCEw/s320/hidroperiodo1.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">A la izquierda las zonas inundadas (máscaras de inundaxión) superpuestas para cada fecha en un ciclo anual de ejemplo y a la derecha la estima del hidroperiodo en días de inundación</td></tr>
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Con estos procedimientos hemos generado <a href="http://mercurio.ebd.csic.es/imgs/" target="_blank">máscaras de inundación</a> para todas las imágenes landsat de Doñana que hemos podido procesar, 391 máscaras de inundación, y hemos reconstruido la dinámica espacial y temporal del agua en las marismas de Doñana en los últimos 40 años. A partir de estos datos calculamos la variable que denominamos hidroperiodo. Es decir cuantos días al año un punto permanece bajo el agua y cuál ha sido su dinámica a lo largo del tiempo. En este artículo nos centramos en el desarrollo de la metodología; pero el análisis de los hidroperiodos a lo largo de estos últimos 40 años presenta resultados muy interesantes. Por una parte ya hemos presentado un<a href="http://last-ebd.blogspot.com.es/2017/01/se-seca-donana.html" target="_blank"> análisis del hidroperiodo de las lagunas</a> y el efecto de los niveles de protección. En el artículo actual se analizan de forma somera los patrones espaciales en la marisma.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://1.bp.blogspot.com/-p0OxZNQbD5Y/WHtlnnWbwQI/AAAAAAAAR5o/R59TRXbXto4glgi9BGVT5bhvZCRUZZiSACEw/s1600/hidroperiodo2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="154" src="https://1.bp.blogspot.com/-p0OxZNQbD5Y/WHtlnnWbwQI/AAAAAAAAR5o/R59TRXbXto4glgi9BGVT5bhvZCRUZZiSACEw/s320/hidroperiodo2.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Precipitación y tendencia del hidroperiodo medio de la marisma de Doñana</td></tr>
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Lo que observamos es que, aunque el hidroperiodo medio no ha variado. En el caso de la marisma de Doñana, no podemos hablar de que <a href="http://www.diariodehuelva.es/2016/09/20/donana-se-seca/" target="_blank">“Doñana se seque”.</a> Si se observan patrones espaciales claros. La parte noroeste de la marisma tiende a incrementar su hidroperiodo mientras que la parte sureste muestra un desecamiento progresivo.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://3.bp.blogspot.com/-Aamd9Q6TsQ0/WHtlqiXVJQI/AAAAAAAAR5s/nQo7bYjz6coGNOJfMQzPiP0xIcxuVObVwCEw/s1600/hidroperiodo3.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="210" src="https://3.bp.blogspot.com/-Aamd9Q6TsQ0/WHtlqiXVJQI/AAAAAAAAR5s/nQo7bYjz6coGNOJfMQzPiP0xIcxuVObVwCEw/s320/hidroperiodo3.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">A la izquierda el hidroperiodo medio de las marimas de Doñana (azul más oscuro más largo) y a la derecha la anomalía del hiroperiodo (diferencia respecto a la media en un ciclo concreto). En rojo hidroperiodos más cortos que la media y en azul más largos</td></tr>
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Creemos que la herramienta que hemos desarrollado puede ser útil para monitorizar de manera objetiva el funcionamiento de las marisma de Doñana y evaluar los proyectos de restauración como Doñana 2005 o las acciones de manejo. ¿Qué pensáis?<br />
Os recordamos que todas estas coberturas de inundación están disponibles en nuestro <a href="http://mercurio.ebd.csic.es/imgs/" target="_blank">servidor de imágenes de satélite</a>.<br />
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<span style="font-size: x-small;"><a href="http://www.mdpi.com/2072-4292/8/9/775" target="_blank">Díaz-Delgado, R.; Aragonés, D.; Afán, I.; Bustamante, J. Long-Term Monitoring of the Flooding Regime and Hydroperiod of Doñana Marshes with Landsat Time Series (1974–2014). Remote Sens. 2016, 8, 775.</a></span><br />
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<span style="font-size: x-small;"><span style="font-size: small;">Esta publicación es un resultado del <a href="http://www.ecopotential-project.eu/" target="_blank">proyecto ECOPOTENTIAL</a> una Research and Innovation Action Nº 641762 dentro de la convocatoria Horizon 2020 de la Comisión Europea</span> </span>
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-87617290298457685622017-01-14T20:47:00.000+01:002017-01-14T21:17:49.364+01:00Monitorizando invasoras desde el espacio<div dir="ltr" style="text-align: left;" trbidi="on">
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Eso de invadir suena muy mal, y supongo que alguno de los que llegue por este blog y lea eso de "invasoras" y "espacio", pues empiece a pensar que esto va de ovnis y de hombrecillos verdes. Bueno, este caso hombrecillos no son; pero verdes sí, un poco al menos.<br />
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<a href="https://3.bp.blogspot.com/-LePs_LKe8EA/WHFBOU0mEvI/AAAAAAAAR3c/AEMO_ccV96YqaCQobSWuG9Y5PQCWWZTswCLcB/s1600/Aliens.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="166" src="https://3.bp.blogspot.com/-LePs_LKe8EA/WHFBOU0mEvI/AAAAAAAAR3c/AEMO_ccV96YqaCQobSWuG9Y5PQCWWZTswCLcB/s320/Aliens.png" width="320" /></a></div>
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El tema que quiero tratar son aquellas plantas que viniendo de otras zonas del planeta son capaces de aclimatarse a nuevos ecosistemas en los que no estaban previamente. Pero, en el fondo la invasión no deja de ser un fenómeno natural. Todo organismo tiende a reproducirse, expandirse y colonizar nuevos lugares (está en su naturaleza). El problema es cuando alguna de esas especies "invasoras" tienen tal capacidad de colonización que son capaces casi de "monopolizar" el nuevo ecosistema expulsando a las especies autóctonas (los nativos) que vivían allí. Otra parte del problema es que el ser humano es el principal agente de transporte de las especies de plantas invasoras y el comercio y el turismo proporciona una velocidad de propagación que ellas nunca hubieran imaginado (si es que las plantas llegaran a imaginarse algo). Bueno, pero centrando el tema de este post. De donde viene lo del espacio. Pues la cosa es que podemos usar sensores embarcados en aviones o en satélites para mapear la distribución de plantas invasoras (y no invasoras). Chulo ¿verdad?<br />
Todo esto deriva de un proyecto de investigación que denominamos ALIENS en colaboración con las universidades de Huelva y Sevilla, sobre usos de teledetección hiperespectral para el mapeo de plantas invasoras y otro denominado HYDRA sobre uso deteledetección en el estudio de la dinámica temporal de humedales .<br />
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<a href="https://4.bp.blogspot.com/-_7Zla2S5I5Y/WHFCVrvE_uI/AAAAAAAAR3k/vPOdWosrtugHT1CNK5WSGmXLr86Xs2U8wCLcB/s1600/Hydra.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="200" src="https://4.bp.blogspot.com/-_7Zla2S5I5Y/WHFCVrvE_uI/AAAAAAAAR3k/vPOdWosrtugHT1CNK5WSGmXLr86Xs2U8wCLcB/s200/Hydra.png" width="144" /></a></div>
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En nuestro artículo publicado en la revista Remote Sensing probamos a usar dos sensores hiperespectrales CASI-1500 y AHS para mapear la distribución de una especie de hierba invasora <i>Spartina densiflora</i> en las marismas de Doñana. El artículo se titula <a href="http://www.mdpi.com/2072-4292/8/12/1001" target="_blank">"Hyperspectral sensors as a management tool to prevent the invasion of the exotic cordgrass Saprtina densiflora in the Doñana wetlands". <table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://4.bp.blogspot.com/-gLQ0ZMkenQY/WHFEyhLSt8I/AAAAAAAAR3w/HIcMX-Tg66IjU4u4e3GJJB5b6YnGRKclACLcB/s1600/spartina.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="193" src="https://4.bp.blogspot.com/-gLQ0ZMkenQY/WHFEyhLSt8I/AAAAAAAAR3w/HIcMX-Tg66IjU4u4e3GJJB5b6YnGRKclACLcB/s400/spartina.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><i>Spartina densiflora,</i> el malo de la película</td></tr>
</tbody></table>
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La campaña se realizó en colaboración con el <a href="http://www.inta.es/investigacionesAplicadas.aspx?Id=4&SubId=26" target="_blank">departamento de teledetección del INTA</a>, que son los volaron el avión y operan los sensores. No somos los primeros en demostrar que eso puede hacerse; pero si comprobamos cuál de los dos sensores y cuál de distintos algoritmos de teledetección funciona mejor para esta especie problemática en Doñana Lo más interesante es que demostramos en que es posible conseguir detecciones muy buenas con muy poco tratamiento de las imágenes. "Aquí te pillo aquí te mato". ¿por qué es interesante? porque esto demuestra que es posible utilizar estas técnicas con un coste relativamente bajo ya que no requieren de personal experto para ser aplicadas de manera operativa. Y son mucho más baratas y rápidas que la foto-interpretación por un botánico experto y las prospecciones a pie. Bueno, todavía hay que volar el sensor, que no es tan barato. Pero pronto habrá sensores hiperespectrales a bordo de satélites y eso abaratará aún más el proceso. En cualquier caso, saber donde están es un requisito imprescindible para poder tomar medidas de conservación ¿no?<br />
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<span style="font-size: x-small;"><a href="http://www.mdpi.com/2072-4292/8/12/1001" target="_blank">Bustamante, J.; Aragonés, D.; Afán, I.; Luque, C.J.; Pérez-Vázquez, A.; Castellanos, E.M.; Díaz-Delgado, R. Hyperspectral Sensors as a Management Tool to Prevent the Invasion of the Exotic Cordgrass Spartina densiflora in the Doñana Wetlands. Remote Sens. 2016, 8, 1001.</a></span><br />
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<span style="font-size: x-small;"><span style="font-size: small;">Esta publicación es un resultado del <a href="http://www.ecopotential-project.eu/" target="_blank">proyecto ECOPOTENTIAL</a> una Research and Innovation Action Nº 641762 dentro de la convocatoria Horizon 2020 de la Comisión Europea</span> </span></div>
Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-2117437270833450892017-01-07T19:48:00.004+01:002017-01-14T21:17:20.778+01:00¿Se seca Doñana?<div dir="ltr" style="text-align: left;" trbidi="on">
La reciente <a href="http://www.wwf.es/que_hacemos/donana/donana/" target="_blank">campaña de WWF</a> sobre los problemas de conservación de Doñana tiende a centrar el asunto alrededor del lema de <a href="http://www.iagua.es/noticias/espana/wwf/16/10/05/corazon-donana-se-seca" target="_blank">"Doñana se seca"</a>. Efectivamente Doñana tiene importantes problemas de conservación, y cualquier campaña mediática simplifica el problema para lanzar un mensaje claro que enganche al público. Pero; ¿es cierto que Doñana se esté secando?.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://2.bp.blogspot.com/-h1lmSU30bP0/WHE2FP02lkI/AAAAAAAAR3A/2kIJ23516pwd0J3cadEVxPzfIZD9Cw4bwCLcB/s1600/lagunas_3.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="219" src="https://2.bp.blogspot.com/-h1lmSU30bP0/WHE2FP02lkI/AAAAAAAAR3A/2kIJ23516pwd0J3cadEVxPzfIZD9Cw4bwCLcB/s320/lagunas_3.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">En el verano de 2012, Santa Olalla, la mayor de las lagunas de Doñana,
en primer plano, sólo mantuvo inundada una cuarta parte de su superficie
habitual (foto: Héctor Garrido / EBD-CSIC). Fuente <a href="http://www.revistaquercus.es/noticia/5873/articulos-de-fondo/las-lagunas-de-donana-siguen-estando-en-peligro.html" target="_blank">Quercus</a></td></tr>
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La respuesta corta sería, sí. Al menos, si por secarse entendemos tener problemas de conservación asociados con la gestión del agua. La respuesta larga es mucho más compleja. En este post intento apuntar algunas de las consecuencias de la gestión del agua sobre Doñana, y los efectos que se observan a gran escala en el paisaje, haciendo referencia a algunas publicaciones científicas con estudios sobre el tema, y los trabajos al respecto que hemos realizado desde el Laboratorio de SIG y Teledetección d ela Estación Biológica de Doñana.<br />
En Doñana hay dos grandes ecosistemas modelados por el agua. Por una parte, la marisma, que es es una llanura de inundación de carácter estacional. Se inunda con las lluvias de invierno y se seca en verano. Por otra, las lagunas de las arenas. Son lagunas temporales que dependen de las fluctuaciones del nivel de las aguas subterráneas, ubicadas sobre las arenas que constituyen el denominado "manto eólico litoral". Básicamente una gran barra arenosa que hace unos miles de años cerró el estuario del Guadalquivir.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://4.bp.blogspot.com/-xQx4X3buqQA/WHE2mZp-kpI/AAAAAAAAR3E/Et2hj7ucDMgEhqeyaP5KfOT7lxud0Xf8wCLcB/s1600/lagunas_2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="227" src="https://4.bp.blogspot.com/-xQx4X3buqQA/WHE2mZp-kpI/AAAAAAAAR3E/Et2hj7ucDMgEhqeyaP5KfOT7lxud0Xf8wCLcB/s320/lagunas_2.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Distribución del sistema de lagunas temporales de Doñana sobre el manto eólico litoral</td></tr>
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La marisma depende fundamente del agua de lluvia, y por tanto de lo lluvioso o seco que venga el año, y bastante poco del agua subterránea. En este blog hemos hablado a menudo de <a href="http://last-ebd.blogspot.com.es/search/label/inundaci%C3%B3n" target="_blank">la inundación de la marisma</a> y como se puede estudiar a través de imágenes de satélite.<br />
En esta ocasión nos centramos en las lagunas, su respuesta al uso del agua subterránea y cual es su dinámica temporal y espacial observada desde imágenes satélite. Las lagunas dependen también de la lluvia; pero sobretodo del agua subterránea. En el fondo podemos imaginar el manto de arenas como una gran esponja. El agua entra (percola sería el termino técnico) en el acuífero y se observa en la superficie del terreno por las lagunas. Es fácil de imaginar que si se extrae agua del subsuelo en exceso las lagunas se resientan y se sequen.<br />
Las imágenes de satélite permiten observar la dinámica de inundación-desecación de las lagunas de Doñana y estudiarla durante los últimos 30 años. Las lagunas son las que más se resienten de la extracción de agua subterránea y esta se extrae en la zona para el consumo en las zonas turísticas (v.g. Matalascañas) y sobretodo para la agricultura. Intuitivamente uno piensa que a más presión de extracción (más agricultura y más población) la desecación de las lagunas será mayor y que a mayor nivel de conservación (la zona lleva protegida más tiempo y con un nivel de protección mayor) la desecación será menor. Bajo estas dos hipótesis y usando imágenes de satélite hemos estudiado la dinámica de las aguas superficiales de las arenas de Doñana durante los últimos 30 años (entre 1985 y 2015). El artículo original se titula <a href="http://www.mdpi.com/2072-4292/8/10/867" target="_blank">"Effect of Protection Level in the Hydroperiod of Water Bodies on Doñana's Aeolian Sands"</a> y ha sido publicado en un <a href="http://www.mdpi.com/journal/remotesensing/special_issues/wetland" target="_blank">número especial de Remote Sensing</a> sobre la conservación de humedales usando técnicas de teledetección. Los resultados muestran algunas cosas lógicas, por ejemplo que las zonas del manto eólico con mayor densidad de lagunas y con una dinámica hídrica "más natural" (es decir que se secan cuando llueve menos y se inundan más cuando llueve más) son las que tienen un mayor nivel de protección (Parque Nacional), mientras que las que están más próximas a cultivos a núcleos urbanos tienen una dinámica "más artificial" (oscilan menos, tienen niveles de agua más independientes de la precipitación). Curiosamente no son las lagunas que se secan más, o que tienen "hidroperiodos" más cortos. De hecho las zonas con bajo nivel de protección tienden a aumentar la extensión de agua superficial y tienden a aumentar el hidroperiodo (el tiempo que la laguna está inundada). Esto se explica en parte por la <a href="https://www.youtube.com/watch?v=jCrN-ffjcdM" target="_blank">creación de balsas de riego</a> (que son superficies de agua artificial); pero no solo por eso. Muchas lagunas naturales se han "artificializado" se usan como depósitos del agua para riego y/o reciben el excedente del agua en los cultivos. Con lo cual el hidroperiodo aumenta.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://3.bp.blogspot.com/-Jjb_CRKRRyg/WHE2_LX8pzI/AAAAAAAAR3I/n_WN-BPwiHkIu89XtJC29hzLPaOqftroACLcB/s1600/lagunas_1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="220" src="https://3.bp.blogspot.com/-Jjb_CRKRRyg/WHE2_LX8pzI/AAAAAAAAR3I/n_WN-BPwiHkIu89XtJC29hzLPaOqftroACLcB/s320/lagunas_1.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Tendencia en el hidroperiodo de las lagunas de Doñana en función de su nivel de protección. La preponderancia del rojo en la figura indica que, efectivamente "Doñana se seca" pero curiosamente las zonas peor conservadas no son las que se secan más, sino al contrario. La gestión del agua tiende artificializar el hidroperiodo y aumentarlo en algunas zonas con el excedente del agua de riego. En este caso más no es sinónimo de mejor.</td></tr>
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La conclusión más interesante del trabajo es que si uno mira las lagunas desde un satélite el mejor criterio para valorar sus grado de conservación en un sistema mediterráneo puede que no sea cuánto dura su inundación (o su hidroperiodo), sino cómo de natural es éste (como se correlaciona con la precipitación) y como es de variable. Curiosamente cuanto más variable e irregular mejor conservado estará.<br />
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<a href="http://www.mdpi.com/2072-4292/8/10/867" target="_blank"><span style="font-size: x-small;">Bustamante, J.; Aragonés, D.; Afán, I. Effect of Protection Level in the Hydroperiod of Water Bodies on Doñana’s Aeolian Sands. Remote Sens. 2016, 8, 867. </span></a><br />
<span style="font-size: x-small;"> </span><br />
<div style="text-align: left;">
<span style="font-size: small;">Esta publicación es un resultado del <a href="http://www.ecopotential-project.eu/" target="_blank">proyecto ECOPOTENTIAL</a> una Research and Innovation Action Nº 641762 dentro de la convocatoria Horizon 2020 de la Comisión Europea</span><span style="font-size: x-small;"></span></div>
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-24317245039323347622016-12-12T00:30:00.004+01:002016-12-18T17:13:22.084+01:00¿La resurrección del Cangrejo?Retomamos la actividad sobre el estado de inundación de la marisma con esta preciosa imagen, tomada por Landsat 8 el 07 de diciembre de 2016, que refleja las intensas precipitaciones acaecidas este otoño.
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<a href="https://1.bp.blogspot.com/-pjtdpoFqyvw/WEqNgmLV_FI/AAAAAAAAJ-Y/48CVwgqMEHEXToy59sVzLPd9A8fVBViPQCLcB/s1600/marisma_07122016c.jpg" imageanchor="1"><img border="0" height="215" src="https://1.bp.blogspot.com/-pjtdpoFqyvw/WEqNgmLV_FI/AAAAAAAAJ-Y/48CVwgqMEHEXToy59sVzLPd9A8fVBViPQCLcB/s400/marisma_07122016c.jpg" width="400" /></a><br />
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El título del post hace referencia al post del <a href="http://last-ebd.blogspot.com.es/2014/12/la-resurreccion-del-travieso.html">3 de diciembre de 2014</a> en el que quedaba constancia por vez primera, del caño Travieso entrando en la marisma, tras la reconexión del Guadiamar en Entremuros con la finca de Caracoles ¿Por qué entonces el renacer del Cangrejo? Lo que más llama la atención de la imagen, además del buen nivel de inundación de la marisma para estas fechas, es la inundación en la finca de Caracoles, que presenta un patrón distinto al que ha venido siguiendo hasta ahora, incluso tras la recuperación del caño Travieso.<br />
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<a href="https://4.bp.blogspot.com/-QDf95-_ts2w/WEqsbwCLb8I/AAAAAAAAJ-4/NgSw6nSSDEA61c0eXZV207FSr54PqI2igCLcB/s1600/Caracoles_detalle_07122016.jpg" imageanchor="1"><img border="0" height="239" src="https://4.bp.blogspot.com/-QDf95-_ts2w/WEqsbwCLb8I/AAAAAAAAJ-4/NgSw6nSSDEA61c0eXZV207FSr54PqI2igCLcB/s400/Caracoles_detalle_07122016.jpg" width="400" /></a><br />
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En el número 1 tenemos la reconexión del caño Travieso, que se realizó en 2014 por medio de unas tuberías en la margen oeste de Entremuros, y que sirvió para recuperar el agua del Guadiamar para la marisma. En el número 2 lo que parece que estamos viendo, es el resultado de una obra similar aguas abajo y que pretende reconectar el lucio del Cangrejo (del Cangrejo Grande) en Entremuros y el lucio del Cangrejo en Caracoles.<br />
El azul más claro indica una mayor presencia de sedimentos, normalmente asociado a un fuerte flujo de agua. Por tanto, parecería que se ha permeabilizado el muro en ese tramo (era una obra prevista) y que el agua está entrando también por ahí.
Lo que puede ser que sí presente cierto problema, es que en principio, esa obra pretendía reconectar 2 sectores de un lucio, pero parece que se ha creado un flujo (posiblemente aprovechando un paleocauce del Guadiamar) donde no debería de haberlo (en la figura con las MODIS que se muestra más abajo, llega incluso a parecer que hay 2 caños Traviesos entrando en la marisma).<br />
El número 4 muestra como ese flujo de agua se dirige hacia el sur, tapando totalmente el pequeño cauce "Nuevo Travieso" (antigua alternativa para recuperar la entrada del Guadiamar en la marisma, que apenas llegó a funcionar). El número 3 marca lo que parece ser un flujo de agua hacia el norte, inundando una zona que rara vez se inunda. Es difícil saber si el agua viene del número 3 o del número 5, porqué da la sensación de que el agua también proviene del propio Travieso. La cuestión es que si comparamos esta imagen con la máscara de agua del 3 de diciembre de 2014, se aprecian perfectamente las diferencias en las áreas inundadas.<br />
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<a href="https://2.bp.blogspot.com/-4JD-foYAZbw/WEq4aln_TwI/AAAAAAAAJ_I/zqf8ANjP_uYXH1NZojLvcZUvm1Or9fokwCLcB/s1600/caracoles_03122014.jpg" imageanchor="1"><img border="0" height="319" src="https://2.bp.blogspot.com/-4JD-foYAZbw/WEq4aln_TwI/AAAAAAAAJ_I/zqf8ANjP_uYXH1NZojLvcZUvm1Or9fokwCLcB/s400/caracoles_03122014.jpg" width="400" /></a>
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El número 1 muestra el Nuevo Travieso y el número 2 el lucio del Cangrejo en Caracoles, pero lo que es importante es ver como el agua se limita al cauce del Travieso y no ocupa toda la franja entre éste y Entremuros, como sí pasa en la imagen actual. Tampoco parece notarse un flujo hacia el sur desde el lucio del Cangrejo, de hecho el agua que tiene el lucio en esa máscara es tan sólo la recibida mediante precipitación directa.<br />
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Otro punto a destacar en Caracoles es la gran cantidad de agua que se ve en la franja norte, y que tampoco se observa en la imagen de diciembre de 2014. La primera impresión lleva a pensar que se trata del agua recibida por precipitación directa, pero si vemos la evolución diaria a través de MODIS, vemos que no es así, y que ese agua también procede del "desbordamiento" del Travieso. Todas las imágenes mostradas abajo, son posteriores a las lluvias (el último día de lluvias fue el 5, aunque ya fueron lluvias débiles, las últimas precipitaciones intensas fueron el 3 y el 4 de diciembre).<br />
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<a href="https://4.bp.blogspot.com/-XSNXBBxGq3I/WErYAEVs-oI/AAAAAAAAJ_Y/_hzKnnhRQiY_A_YyA7SbnKwFX6MaZO3iACLcB/s1600/MODIS.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="106" src="https://4.bp.blogspot.com/-XSNXBBxGq3I/WErYAEVs-oI/AAAAAAAAJ_Y/_hzKnnhRQiY_A_YyA7SbnKwFX6MaZO3iACLcB/s400/MODIS.jpg" width="400" /></a></div>
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Esa zona del norte de Caracoles presenta las cotas más altas de la marisma, muchas de esas zonas están por encima de los 2 m s.n.m. mientras que la inundación en el resto de la marisma está más o menos en torno a 1,6 m s.n.m.<br />
Viendo las imágenes MODIS parece que incluso ha llegado a conectar ese agua del norte de Caracoles con el lucio del Lobo, que podría servir de aliviadero. De otro modo, y dada la topografía de Caracoles, pudiera darse el caso de que el agua se quedará allí retenida por el muro de la FAO, dando lugar a una suerte de nuevo lucio en una zona alta de la marisma.<br />
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En cualquier caso, hay que tener en cuenta que toda la información que se está dando procede de la interpretación de Landsat y MODIS, es difícil ser precisos sin contar con datos de campo y sin información de las actuaciones que se van realizando. Otro dato muy valioso, del que se está a la espera , es el valor de la cota de las estaciones hidro-meteorológicas de la marisma (por cierto, tras la vuelta del Guadiamar a la marisma, el cauce del Travieso en Caracoles sería un sitio muy bueno para una nueva estación, o al menos para un sensor automático de cota o, en su defecto, una escala).<br />
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La imagen MODIS del 9 de diciembre, parece confirmar lo señalado, se ve muy bien lo de los 2 Traviesos y (no tan claramente) la conexión del agua al norte de Caracoles con el lucio del Lobo. <br />
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Por lo visto hasta ahora de la marisma (e imagino que también será la percepción de mucha gente, a la vista de las inundaciones en gran parte de Andalucía), podría pensarse que estamos ante un otoño excepcionalmente húmedo... y lo cierto es que no, o al menos no tanto como podría pensarse.<br />
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Ciclo 2015/2016 Media Serie Histórica (1978/2015)<br />
Septiembre 10,9 mm 22,3 mm<br />
Octubre 106,2 mm 73,6 mm<br />
Noviembre 88,9 mm 87,9 mm<br />
Total 206,14 mm 184 mm<br />
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La realidad es que en los 3 primeros meses del ciclo 2015/2016 ha llovido un 12% más de la media de la serie histórica (datos del Palacio de Doñana entre 1978/79-2014/2015). Sí es verdad que las lluvias han sido muy concentradas y también muy desiguales como comentaremos a continuación (aunque esto realmente es la tónica dominante de la precipitación en Doñana). Otra cosa a tener en cuenta en este sentido, es que durante los primeros 5 días de diciembre, han caído 81,18 mm, cuando la media del mes es de 99 mm. La precipitación total, recogida hasta el 9 de diciembre, en este ciclo, sería pues de 287,3 mm.<br />
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Viendo las precipitaciones un poco más en detalle a través de las estaciones del <a href="https://www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController" target="_blank">IFAPA</a>, vemos que ha habido 3 grandes eventos de precipitación en los que se ha recogido el 88% de las lluvias caídas hasta ahora.<br />
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<a href="https://2.bp.blogspot.com/-5t7_9H9QJwc/WEsMe7qL1aI/AAAAAAAAKAY/wCGYoN0ErisQIvGHKzCLqRHetz8I4xQXQCLcB/s1600/Lluvias.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="235" src="https://2.bp.blogspot.com/-5t7_9H9QJwc/WEsMe7qL1aI/AAAAAAAAKAY/wCGYoN0ErisQIvGHKzCLqRHetz8I4xQXQCLcB/s400/Lluvias.jpg" width="400" /></a></div>
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Entre el 21 y el 25 de octubre cayeron 90 mm, 70 de ellos entre el 22 y el 23. El día 23 en la estación de Sanlúcar de Barrameda se recogieron 81,8 mm. Este evento ha sido el primero y el más grande de lo que va de ciclo. El resultado de estas lluvias se ve en la Landsat 7 del 28 de octubre. La lluvia, más intensa en la zona suroriental, provocó el llenado parcial de los lucios del SE de la marisma (Membrillo, Ánsares, etc...)<br />
También se ve como La Madre se llenó y comenzó a bajar lentamente por la marisma. Aquí sí tenemos alguna información de campo (gracias a Miguel Ángel Bravo) y sabemos que La Rocina no llegó a pasar el vado de la Canaliega, por lo que el agua que se ve en la imagen debe ser agua del arroyo del Partido, que por su carácter torrencial responde muy rápidamente a las precipitaciones. El resto de la marisma permaneció seca (destaca mucho el verde de Juncabalejo en medio de los ocres de la castañuela seca).<br />
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<a href="https://1.bp.blogspot.com/-G7K1uyNarrc/WEsx73ayTEI/AAAAAAAAKAw/WDJ1DL1S_0Y--9BO4QeNywux3ZGbNsOMQCLcB/s1600/l728102016.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="222" src="https://1.bp.blogspot.com/-G7K1uyNarrc/WEsx73ayTEI/AAAAAAAAKAw/WDJ1DL1S_0Y--9BO4QeNywux3ZGbNsOMQCLcB/s400/l728102016.jpg" width="400" /></a></div>
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El siguiente episodio de precipitación se dio en la semana del 20 al 27 de noviembre. No hubo ningún día excepcional (el día que más llovió cayeron 24 mm de media, con máximas en Sanlúcar (49 mm) e Isla Mayor (38,4 mm)), pero sí fue una semana en la que llovió a diario, para dejar un total de 81,8 mm en esos 7 días. El resultado de esas lluvias se refleja en la Landsat 7 del 29 de noviembre.<br />
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<a href="https://2.bp.blogspot.com/-W13UMLkQa-A/WEs6EfaoRkI/AAAAAAAAKBA/UttH5j1awR0Rllqy8wtE0QBPQqQdwc2XwCLcB/s1600/20161129l7etm.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="252" src="https://2.bp.blogspot.com/-W13UMLkQa-A/WEs6EfaoRkI/AAAAAAAAKBA/UttH5j1awR0Rllqy8wtE0QBPQqQdwc2XwCLcB/s400/20161129l7etm.jpg" width="400" /></a></div>
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La Rocina si llegó a correr esta vez, y a la vista de la escena no parece que el Travieso entrará. Si se ven ya todos los grandes lucios y las zonas bajas de marisma inundadas.<br />
En cuanto tengamos acceso a los datos de cota de las estaciones editaremos el post para inluirlos.<br />
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Por último, 2 cosas que por sí solas bien merecerían un post, pero que dadas las limitaciones de tiempo vamos a incluirlas aquí.<br />
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<a href="https://1.bp.blogspot.com/-OJ97DZsVqDg/WE3Y_kNNr-I/AAAAAAAAKBg/1XuRKT8qUYksQ4u2KSczwrL9GZfSqObMwCLcB/s1600/sentinel3.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="346" src="https://1.bp.blogspot.com/-OJ97DZsVqDg/WE3Y_kNNr-I/AAAAAAAAKBg/1XuRKT8qUYksQ4u2KSczwrL9GZfSqObMwCLcB/s400/sentinel3.jpg" width="400" /></a></div>
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Esta es la imagen del 22 de octubre, el día de mayores precipitaciones de este otoño en Doñana, pero la imagen no está puesta por eso, sino por ser la primera imagen del satélite Sentinel 3A sobre la peninsula. Se trata de la apuesta europea para Ocean Colour, y desde el 22 de octubre está disponible para su descarga gratuita en el <a href="https://scihub.copernicus.eu/" target="_blank">scihub de la ESA</a>.<br />
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La otra herramienta que queremos compartir, es esta <a href="https://global-surface-water.appspot.com/" target="_blank">magnífica aplicación</a> (cuyo desarrollo ha sido publicado recientemente en <a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature20584.html" target="_blank"><i>Nature</i></a>) en la que ¡a escala global! se ha procesado la serie histórica de Landsat, para obtener las máscaras de agua de todas las escenas y ver las tendencias en la inundación de cada pixel. El resultado es realmente espectacular.<br />
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<iframe frameborder="0" height="400" src="https://global-surface-water.appspot.com" width="600"></iframe>
Diegohttp://www.blogger.com/profile/15372433269251168203noreply@blogger.com2tag:blogger.com,1999:blog-8015925519704443818.post-24428745656154416952016-11-30T19:36:00.001+01:002016-12-02T21:19:44.284+01:00¿Qué es ECOPOTENTIAL?<div dir="ltr" style="text-align: left;" trbidi="on">
El equipo de divulgación del consorcio ECOPOTENTIAL ha producido un vídeo de animación en el que se explica, en un lenguaje accesible, los objetivos del proyecto ECOPOTENTIAL. Utilizando distintos personajes como Adam (el gestor de un Parque Nacional), Pete (un ciudadano) y Amy (una científica) explican como las técnicas de observación de la tierra pueden ser usadas para ayudar a la gestión y monitorización de las áreas protegidas.<br />
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ECOPOTENTIAL es un proyecto de investigación Europeo del programa Horizonte2020 en el que participa la Estación Biológica de Doñana y el LAST-EBD<br />
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-58447787923752891232016-11-25T23:25:00.000+01:002016-12-02T21:23:29.906+01:00Carta desde Niza<div dir="ltr" style="text-align: left;" trbidi="on">
Hoy se ha recibido una interesante carta desde Niza. Iba dirigida al Señor Director, Reserva Biológica de Doñana, La Cartuja, Sevilla. Dentro, una carta en una cuartilla que empezaba en Español y continuaba en Francés y un viejo mapa coloreado a mano.<br />
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La carta estaba firmada por Claude Allier y esto, a los que conocen Doñana, quizá les empiece ya a sonar de algo. El mapa ha resultado ser el original del </div>
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Mapa ecológico de la Reserva Biológica de Doñana. Publicado en 1974 por C. Allier, F. González Bernaldez y L. Ramírez Díaz. Se trata de un mapa 1:10.000 de la vegetación terrestre de la reserva biológica de Doñana. Un mapa que todos los que han trabajado sobre la vegetación de Doñana conocen, y que casi todos hemos citado alguna vez. Pues sí, lo que iba en el sobre era el mapa original, primorosamente dibujado con lapices de color y remendado por detrás con cello. En el LAST hemos recibido el encargo de escanear el mapa que pasará a engrosar los archivos de la EBD.</div>
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-32460891307835323402016-06-23T13:24:00.002+02:002016-06-23T13:31:32.006+02:00ECOPOTENTIAL entre los proyectos mencionados en la campaña Europea EuFactor!<div dir="ltr" style="text-align: left;" trbidi="on">
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Solo dos día para la asamblea anual de <a href="http://www.ecopotential-project.eu/">ECOPOTENTIAL</a> en la <a href="https://en.wikipedia.org/wiki/Texel">isla de Texel</a>, en el <a href="http://www.waddensea-worldheritage.org/">Wadden See</a> (Holanda) a la que asistiremos Luis Santamaría yo en representación de la Estación Biológica de Doñana. Yo en concreto he estado a punto de tener que cancelar el viaje por haber sido seleccionado para estar en una mesa electoral el domingo 26. ¡Pero al final me han liberado de esta obligación como ciudadano!<br />
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Aprovecho estas líneas para introducir un vídeo de la campaña Italiana EuFactor! de divulgación, para introducir a jóvenes entre 16 y 19 años a las carreras científicas, en el que se presenta de manera divertida la biografía de una de las científicas integrantes del proyecto ECOPOTENTIAL, Elisa Palazzi<br />
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Una bonita iniciativa que deberíamos imitar.</div>
Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-16720255305112019672016-06-08T19:13:00.001+02:002016-06-09T22:45:29.029+02:00AZOLLA: La gran mancha<div class="separator" style="clear: both; text-align: center;">
<a href="https://3.bp.blogspot.com/-IH50uCRIXHE/V1gzsqCjmDI/AAAAAAAACc0/PFy8pARx9yUFgmTOn1e-SGPz3OLhyP-0wCLcB/s1600/LE72020342016142EDC00_MTL_1.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><span id="goog_1561350051"></span><span id="goog_1561350052"></span></a></div>
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Como ya os contamos en el <a href="http://last-ebd.blogspot.com.es/2016/05/tambien-la-lluvia.html" target="_blank">post anterior</a> este año esta siendo muy singular tanto en lo que refiere a precipitaciones como en el crecimiento de la vegetación de la marisma.<br />
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Tras los más de <a href="http://www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController?action=Static&url=fechas.jsp&c_provincia=21&c_estacion=10" target="_blank">130 l/m2</a> en la primera quincena del mes de mayo y una romería del Rocío que aglutino en la aldea hasta el día 16 de mayo a un número indeterminado de personas y animales.<br />
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El 21 de mayo en la imagen de Landsat 7 observamos una gran macha de color verde intenso, en la zona de la Marisma de Hinojos frente al Lucio de Martinazo, zona que habitualmente esta cubierta de castañuela pero debido
al mal año en precipitaciones, muy dificilmente podría ser solo
castañuela.</div>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: right;"><tbody>
<tr><td style="text-align: center;"><img alt="" border="0" height="400" src="https://3.bp.blogspot.com/-IH50uCRIXHE/V1gzsqCjmDI/AAAAAAAACc0/PFy8pARx9yUFgmTOn1e-SGPz3OLhyP-0wCLcB/s400/LE72020342016142EDC00_MTL_1.jpg" style="margin-left: auto; margin-right: auto;" title="" width="400" /></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Landsat 7 del 21/05/2016</td></tr>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://1.bp.blogspot.com/-oF21x_SBggs/V1gzs28d5iI/AAAAAAAACc8/bHnH4nJWYhcXDX5Sk8OE4rqGhRXzNWt4QCLcB/s1600/LE72020342016142EDC00_MTL_z1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="400" src="https://1.bp.blogspot.com/-oF21x_SBggs/V1gzs28d5iI/AAAAAAAACc8/bHnH4nJWYhcXDX5Sk8OE4rqGhRXzNWt4QCLcB/s400/LE72020342016142EDC00_MTL_z1.jpg" width="376" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Landsat 7 del 21/05/2016 (zum al área de interés)</td></tr>
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La imagen de Landsat anterior a esta es del 27 de abril una Landsat 8 ya que las dos imagenes de la primera quincena de mayo estan totalmente cubiertas de nubes, en donde no se aprecia nada especial y nos indica Alfredo Chico haber detectado, durante sus seguimiento de aves, algunas zonas con algas filamentosas flotantes y con algo de azolla alrededor.<br />
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<tr><td class="tr-caption" style="text-align: center;">Algas y Azolla con Castañuela seca. Foto:Alfredo Chico</td></tr>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://3.bp.blogspot.com/-GlyJSCZGDl0/V1gzsnHDUyI/AAAAAAAACcw/GYnvNHFpk-cMNv_qUMMBvytxvqe2lMQdACLcB/s1600/LC82020342016070LGN00_B6_z0.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="400" src="https://3.bp.blogspot.com/-GlyJSCZGDl0/V1gzsnHDUyI/AAAAAAAACcw/GYnvNHFpk-cMNv_qUMMBvytxvqe2lMQdACLcB/s400/LC82020342016070LGN00_B6_z0.jpg" width="377" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Landsat 8 del 27/04/2016 (zum al área de interés)</td></tr>
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Aun asi creemos interesante ir a inspeccionar la zona para para asegurarnos de que es lo que produce ese color y el 31 de mayo nos vamos con Alfredo a recorrer la zona a caballo, pudiendo visualizar el recorrido con una linea blanca y los puntos con Azolla densa con un punto rojo sobre la imagen de Landsat 8 del 29 de mayo.<br />
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<tr><td style="text-align: center;"><a href="http://3.bp.blogspot.com/-8-3kbTh83q8/V1nUXsBVIqI/AAAAAAAACeA/cuG_1_I05Ssk16WL32CHN1dLMxR0A_EtQCK4B/s1600/IMG_1616.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="400" src="https://3.bp.blogspot.com/-8-3kbTh83q8/V1nUXsBVIqI/AAAAAAAACeA/cuG_1_I05Ssk16WL32CHN1dLMxR0A_EtQCK4B/s400/IMG_1616.JPG" width="240" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Azolla roja. Foto: Alfredo Chico</td></tr>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://4.bp.blogspot.com/-fen4N0luKbU/V1hD5i7mCwI/AAAAAAAACdQ/2IY5Mozqo5kACG5brURSYE9ODvDPRS_-gCLcB/s1600/LC82020342016150LGN00_B6_3_2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="400" src="https://4.bp.blogspot.com/-fen4N0luKbU/V1hD5i7mCwI/AAAAAAAACdQ/2IY5Mozqo5kACG5brURSYE9ODvDPRS_-gCLcB/s400/LC82020342016150LGN00_B6_3_2.jpg" width="377" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Landsat 8 del 29/05/2016 (zum al área de interés)</td></tr>
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<tr><td style="text-align: center;"><a href="http://2.bp.blogspot.com/-7u-BW7bzXBs/V1nU4v2EMuI/AAAAAAAACeI/LyzKabWF3OUbGsLGHkELoLYjm6petnj0QCK4B/s1600/IMG_1617.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://2.bp.blogspot.com/-7u-BW7bzXBs/V1nU4v2EMuI/AAAAAAAACeI/LyzKabWF3OUbGsLGHkELoLYjm6petnj0QCK4B/s400/IMG_1617.JPG" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Castañuela densa. Foto: Alfredo Chico.</td></tr>
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El dia 6 de junio se capturan las imanges de landsat 7 y Sentinel 2 en donde sigue manteniendose la superficie de Azolla, mejorando la resolución espacial al pasar de 30 metros de pixel en Landsat a 10 metros de pixel en Sentinel 2, obteniedose una superficie ocupada por azolla solo en esta mancha de 114 ha.<br />
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<tr><td style="text-align: center;"><a href="https://3.bp.blogspot.com/-YkII5yxUhkw/V1hGt5JMRZI/AAAAAAAACdc/2-4w24hMr-oTNjSuxJBQmzB5xy3KdcwbQCLcB/s1600/S2A_RGB_donana.jpg" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="200" src="https://3.bp.blogspot.com/-YkII5yxUhkw/V1hGt5JMRZI/AAAAAAAACdc/2-4w24hMr-oTNjSuxJBQmzB5xy3KdcwbQCLcB/s200/S2A_RGB_donana.jpg" width="190" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Sentinel 2A del 6/06/2016 (zum al área de interés)</td></tr>
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<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="https://1.bp.blogspot.com/-ch4YWtwzH6k/V1gzs1N5YkI/AAAAAAAACdA/Xprg21_svN4PyJ_PHNZ6YYmOieeemmkIwCLcB/s1600/LE72020342016158EDC00_MTL_z3.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="200" src="https://1.bp.blogspot.com/-ch4YWtwzH6k/V1gzs1N5YkI/AAAAAAAACdA/Xprg21_svN4PyJ_PHNZ6YYmOieeemmkIwCLcB/s200/LE72020342016158EDC00_MTL_z3.jpg" width="187" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Landsat 7 del 6/06/2016 (zum al área de interés)</td></tr>
</tbody></table>
<br />Unknownnoreply@blogger.com0Almonte, Huelva, España37.048053015667058 -6.45034790039062536.997355015667061 -6.5310289003906252 37.098751015667055 -6.3696669003906248tag:blogger.com,1999:blog-8015925519704443818.post-74590868343651076002016-05-17T09:15:00.001+02:002016-05-17T17:24:44.598+02:00También la lluvia<div dir="ltr" style="text-align: left;" trbidi="on">
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Parafraseando <a href="https://es.wikipedia.org/wiki/Tambi%C3%A9n_la_lluvia">la película de Icíar Boyaín, también la lluvia</a> llego a las marismas de Doñana. También llego cuando ya nadie la esperaba. Por fín hoy, un día sin nubes, hemos podido ver con MODIS el aspecto de la marisma tras estos días de intensa lluvia en mayo.<br />
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<a href="https://1.bp.blogspot.com/-IwQ64avsXGs/VzovZ8y2BII/AAAAAAAAPyE/r41Xq0dxMQoPuuwLwRDVLO8Y_zyfVlOdACLcB/s1600/May_2016_Modis_Donana.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="200" src="https://1.bp.blogspot.com/-IwQ64avsXGs/VzovZ8y2BII/AAAAAAAAPyE/r41Xq0dxMQoPuuwLwRDVLO8Y_zyfVlOdACLcB/s400/May_2016_Modis_Donana.png" width="400" /></a></div>
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He seleccionado para comparar una imagen de MODIS del 1 de mayo, momento en que la marisma estaba ya prácticamente seca. Como podéis ver esos 130 l que se han acumulado en 9 días de lluvia casi continua han dado lugar a que la marisma se llene. Todas las zonas que aparecen negras o azul claro u oscuro en la imagen del 16 de mayo es porque están inundadas. Se pruede apreciar que el lucio del Membrillo o el lucio de los Ánsares, que estaban totalmente secos ahora tienen agua.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://2.bp.blogspot.com/-5tzAiRgHThY/VzrDNNboxfI/AAAAAAAAPyY/qNZZnSSvepgcf5ZlFLl_yyq7dBMa9b8QACLcB/s1600/20160516_Precipitacion_Almonte.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="247" src="https://2.bp.blogspot.com/-5tzAiRgHThY/VzrDNNboxfI/AAAAAAAAPyY/qNZZnSSvepgcf5ZlFLl_yyq7dBMa9b8QACLcB/s320/20160516_Precipitacion_Almonte.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Precipitación registarada en la estación agroclimática de Almonte entre el 1 y el 16 de mayo de 2016</td></tr>
</tbody></table>
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Al final, la lluvia acumulada en el año se encuentra próxima a la media anual, unos 500 l (568 l es lo que ha registrado la estación de Almonte); pero no se puede negar que ha sido un año bastante atípico. Un otoño temprano en el que empezó lloviendo bien, seguido de un invierno bastante seco y una primavera tardía anormalmente lluviosa. Aunque la precipitación acumulada esté en torno a la media esta vez la lluvia llega tarde para la mayoría de las especies y seguramente sean pocas las que se beneficien de ella.<br />
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Para acabar incluyo una foto que me ha pasado Irene Paredes de como se veía el antes y el después de la inundación sobre el terreno.<br />
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<a href="https://2.bp.blogspot.com/-6Q2hS_PqpwQ/Vzs3sBqbRsI/AAAAAAAAPys/NAIAZ3BLN1oc4e_3v7W36nX2AN2Six3_QCLcB/s1600/antesydespues_delalluvia2016.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://2.bp.blogspot.com/-6Q2hS_PqpwQ/Vzs3sBqbRsI/AAAAAAAAPys/NAIAZ3BLN1oc4e_3v7W36nX2AN2Six3_QCLcB/s400/antesydespues_delalluvia2016.jpg" width="366" /></a></div>
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com0tag:blogger.com,1999:blog-8015925519704443818.post-79415021133609311922016-05-10T14:06:00.000+02:002016-05-10T14:18:19.442+02:00Contratos Titulado Superior ECOPOTENTIAL<div dir="ltr" style="text-align: left;" trbidi="on">
Finalmente sale publicado hoy el anuncio de dos contratos de Titulado Superior fuera de convenio dentro del proyecto H2020 ECOPOTENTIAL. Hay 7 días naturales (11 al 17 de mayo de 2016) para realizar la solicitud. El texto de la convocatoria se puede consultar en:<br />
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<a class="moz-txt-link-freetext" href="http://sede.csic.gob.es/">http://sede.csic.gob.es</a> y en
<a class="moz-txt-link-freetext" href="http://administracion.gob.es/">http://administracion.gob.es</a><br />
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o descargarlo de el estos enlaces:<br />
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CONVOCATORIA:<br />
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<a href="https://drive.google.com/open?id=0B6-ZAxoyUieVbHA5QXpzdjR5Qm8">https://drive.google.com/open?id=0B6-ZAxoyUieVbHA5QXpzdjR5Qm8</a><br />
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IMPRESO SOLICITUD:<br />
<a href="https://drive.google.com/open?id=0B6-ZAxoyUieVRVB4d0M3NjlWSGc">https://drive.google.com/open?id=0B6-ZAxoyUieVRVB4d0M3NjlWSGc</a><br />
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<a href="https://1.bp.blogspot.com/-MvkvDIe7EEM/VzHRES5LdhI/AAAAAAAAPw0/CSOGMtMScpMXreKERbCB_HL0hoUkARbGgCLcB/s1600/ecopotential_small.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="133" src="https://1.bp.blogspot.com/-MvkvDIe7EEM/VzHRES5LdhI/AAAAAAAAPw0/CSOGMtMScpMXreKERbCB_HL0hoUkARbGgCLcB/s200/ecopotential_small.png" width="200" /></a></div>
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<a href="https://2.bp.blogspot.com/-B9e6jkhg55E/VzHREWdJYnI/AAAAAAAAPw4/Sfujs33EQvkY6vUWYUiuisTBE3Tjn8BdgCLcB/s1600/EU_flag_yellow_LR.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="133" src="https://2.bp.blogspot.com/-B9e6jkhg55E/VzHREWdJYnI/AAAAAAAAPw4/Sfujs33EQvkY6vUWYUiuisTBE3Tjn8BdgCLcB/s200/EU_flag_yellow_LR.jpg" width="200" /></a><br />
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“This project has received funding from the <em>European Union’s Horizon 2020 research and innovation programme </em>under grant agreement No 641762”<br />
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Javier Bustamantehttp://www.blogger.com/profile/08602288224667093266noreply@blogger.com2tag:blogger.com,1999:blog-8015925519704443818.post-24740360293912307912015-12-11T03:05:00.000+01:002015-12-11T03:08:06.165+01:00Y llegó la inundación... Y Sentinel 2Este va a ser mi primer, y supongo que último, post como "infiltrado" del LAST, ya que el día 30 de noviembre finalizó mi contrato.<br />
Mi primer post en este blog fue "Y llegó la inundación", así que me parecía un modo redondo de acabar mis posts con otro "Y llegó la inundación (y se va el que suscribe...)". Pero ha coincidido mi marcha con la esperada salida de las imágenes Sentinel-2A, así que en este post voy a tratar de mezclar ambas informaciones.<br />
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<b> Y llegó la inundación:</b><br />
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La precipitación acumulada a finales de noviembre era de 170 mm (media para las estaciones del IFAPA de Sanlúcar, Moguer, Almonte y Aznalcazar), la media de la serie histórica (período 1970/2010) es de 168 mm a finales de noviembre. Estamos por tanto de momento, en un año hidrológico medio. Sin embargo sorprende la concentración de esas precipitaciones, que en su mayor parte (140 mm de los 170 mm) cayeron en 2 semanas: del 10 al 18 de octubre y del 26 de octubre al 2 de noviembre. El 18 de octubre y el 2 de noviembre se superaron los 30 mm. Noviembre de hecho, empezó muy lluvioso, ya que el día 1 cayeron 20,5 mm de media en las estaciones analizadas. En total durante los 2 primeros días de noviembre se recogieron 51.5 mm ...Y ya no ha vuelto a llover.<br />
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<a href="http://2.bp.blogspot.com/-kj3TU0ezjrc/VmiER-XiqqI/AAAAAAAAG_w/qLXF_18B-Pc/s1600/lluvias.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="286" src="http://2.bp.blogspot.com/-kj3TU0ezjrc/VmiER-XiqqI/AAAAAAAAG_w/qLXF_18B-Pc/s640/lluvias.jpg" width="540" /></a></div>
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La media de noviembre en la serie histórica es de 79 mm, por lo que noviembre ha estado por debajo de la media y diciembre, que es tradicionalmente el mes más lluvioso (100 mm de media en la serie histórica), va camino de ser bastante seco. A día 10 no ha llovido nada y la previsión para los próximos 7 días es que continúe sin llover.<br />
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En cualquier caso, la concentración de esos 170 mm en las últimas 2 semanas de octubre y los primeros días de noviembre, hizo que comenzaran a correr los arroyos (fundamentalmente La Rocina, parece que no El Guadiamar no llegó a entrar por El Travieso) vertientes a la marisma, y que se llenaran por precipitación directa los lucios y zonas bajas de la marisma.<br />
El día 11 de noviembre hubo un paso del satélite Landsat 7 que tomó esta magnífica imagen:<br />
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<a href="http://4.bp.blogspot.com/-e6080Aj-hM8/Vmi27_NvxMI/AAAAAAAAHAA/f1KuSIP07WY/s1600/20151111l7.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="234" src="http://4.bp.blogspot.com/-e6080Aj-hM8/Vmi27_NvxMI/AAAAAAAAHAA/f1KuSIP07WY/s640/20151111l7.jpg" width="540" /></a></div>
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Se aprecia perfectamente como el agua va bajando desde la madre y como han cogido algo de agua los lucios del Membrillo, Ánsares, Marilópez, El Lobo, El Caballero, Lucio Largo...<br />
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Al ser noviembre un mes tan seco hemos tenido varias Landast disponibles, aquí podéis verlas todas en detalle. Lo que se aprecia es la entrada lenta de La Rocina en la marisma, y como el agua va fluyendo lentamente hacia el sur, "derramándose" por las zonas más bajas en su búsqueda de la desembocadura.<br />
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A continuación se muestra una comparativa de la escena de la situación de la marisma ya mostrada (19 de noviembre) con la Landsat 8 del 5 de diciembre. (recomendación personal es verla en este <a href="https://csic.maps.arcgis.com/apps/StorytellingSwipe/index.html?appid=9b7022bed53f435ea50cc43cd65c330e">link</a> mejor que aquí incrustada. Si os da pereza abrir el link al menos darle a "Ocultar Información" que por defecto aparece muy grande)
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<style>.embed-container {position: relative; padding-bottom: 80%; height: 0; max-width: 100%;} .embed-container iframe, .embed-container object, .embed-container iframe{position: absolute; top: 0; left: 0; width: 100%; height: 100%;} small{position: absolute; z-index: 40; bottom: 0; margin-bottom: -15px;}</style><br />
<div class="embed-container">
<iframe div="" frameborder="0" height="400" marginheight="0" marginwidth="0" scrolling="no" src="
https://csic.maps.arcgis.com/apps/StorytellingSwipe/index.html?appid=9b7022bed53f435ea50cc43cd65c330e" title="20151119l8oli202_34" width="500">
</iframe></div><br />
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<b> Y llegó Sentinel 2:</b><br />
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Por fin contamos con la primera escena Sentinel 2 de Doñana. Ya hablamos en un <a href="http://last-ebd.blogspot.com.es/2015/06/primeras-imagenes-del-sentinel-2.html" target="_blank">post</a> anterior del lanzamiento de este satélite , que está llamado a convertirse en un protagonista importante del mundo de la teledetección en los próximos años.<br />
La escena se tomó además el día 29 de noviembre, por lo que contamos con una fecha intermedia, para ver como ha sido la evolución en la inundación de la marisma, durante el período visto con Landsat (19/11/15-05/12/15). Esto será la tónica habitual a partir de ahora, ya que la resolución temporal de Sentinel 2 es de 10 días, de modo que en un mes medio tendremos 2 imágenes Landsat 8, 2 Landsat 7 y 3 Sentinel 2. Esto ya de por sí se podría calificar de "alucinante", pero lo mejor es que el año con el lanzamiento del Sentinel 2B habrá una imagen Sentinel 2 cada 5 días, con lo que en teoría habrá 10 imágenes mensuales.<br />
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Además de la mayor resolución temporal, Sentinel 2 cuenta con la ventaja de una mayor resolución espacial. Conando con bandas de 10 m, 20 m y 60 m de pixel. Es posible hacer NDVI a 10 m y máscaras de inundación a 20 m, lo que supone que pasamos de tener 900 m2 en un pixel, a tener 100 m2 y 400 m2 respectivamente.<br />
A escalas de 1:50000 o inferiores, el cambio no es tan drástico:<br />
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<a href="http://3.bp.blogspot.com/-3M9HsgsDDuI/VmoaLo08orI/AAAAAAAAHAU/OKx9elVj06g/s1600/grande.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="146" src="http://3.bp.blogspot.com/-3M9HsgsDDuI/VmoaLo08orI/AAAAAAAAHAU/OKx9elVj06g/s400/grande.jpg" width="400" /></a></div>
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<a href="http://1.bp.blogspot.com/-SkRqGd_U8Ps/VmoaQLn3YvI/AAAAAAAAHAc/OgtQxY9AoJI/s1600/grandes2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="145" src="http://1.bp.blogspot.com/-SkRqGd_U8Ps/VmoaQLn3YvI/AAAAAAAAHAc/OgtQxY9AoJI/s400/grandes2.jpg" width="400" /></a></div>
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Pero cuando la escala va siendo mayor, el cambio es notorio:<br />
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1) Vista de Matalascañas y Sana Olalla (arriba Landsat 8 y abajo Sentinel 2):</div>
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<a href="http://1.bp.blogspot.com/-x_cXpmPUa_0/VmoalSVR7GI/AAAAAAAAHAk/b8oRjEauX6k/s1600/mtcsolll8.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="143" src="http://1.bp.blogspot.com/-x_cXpmPUa_0/VmoalSVR7GI/AAAAAAAAHAk/b8oRjEauX6k/s400/mtcsolll8.jpg" width="400" /></a></div>
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2) Vista del Membrillo y Salinas de San Diego:</div>
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<a href="http://4.bp.blogspot.com/-UN-wOuQMSXw/Vmoa_nrT-OI/AAAAAAAAHA0/RIoK1AVFPpA/s1600/membrilosl8.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="143" src="http://4.bp.blogspot.com/-UN-wOuQMSXw/Vmoa_nrT-OI/AAAAAAAAHA0/RIoK1AVFPpA/s400/membrilosl8.jpg" width="400" /></a></div>
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<a href="http://4.bp.blogspot.com/-vFZ0ieSAP5o/VmobIzay2rI/AAAAAAAAHA8/2LUfm-qiAOs/s1600/membrilos2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="145" src="http://4.bp.blogspot.com/-vFZ0ieSAP5o/VmobIzay2rI/AAAAAAAAHA8/2LUfm-qiAOs/s400/membrilos2.jpg" width="400" /></a></div>
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3) Lucio del Caballero, Caño de La Junquera:</div>
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<a href="http://1.bp.blogspot.com/-3__Rgrct6fE/VmoblF2iauI/AAAAAAAAHBE/KiQo-ifU-F0/s1600/s2lisd.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="143" src="http://1.bp.blogspot.com/-3__Rgrct6fE/VmoblF2iauI/AAAAAAAAHBE/KiQo-ifU-F0/s400/s2lisd.jpg" width="400" /></a></div>
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4) Lucio de Marilópez, Rabizón del Veladero y Caño del Guadiamar:</div>
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<a href="http://2.bp.blogspot.com/-yjheDKTq_JU/VmobySWTZLI/AAAAAAAAHBU/pWuA03HKD9Q/s1600/s2l8.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="145" src="http://2.bp.blogspot.com/-yjheDKTq_JU/VmobySWTZLI/AAAAAAAAHBU/pWuA03HKD9Q/s400/s2l8.jpg" width="400" /></a></div>
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Para terminar, aquí podéis ver la escena Sentinel 2 con más detalle (zona sur de Doñana):</div>
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</iframe><br />Diegohttp://www.blogger.com/profile/15372433269251168203noreply@blogger.com1