MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01D75182.D5FCC5B0" Este documento es una página web de un solo archivo, también conocido como "archivo de almacenamiento web". Si está viendo este mensaje, su explorador o editor no admite archivos de almacenamiento web. Descargue un explorador que admita este tipo de archivos. ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="utf-8"

 

 =

 Aplicación de la Ecuación del Balance Térmico para determinar el confort higrotérmico en la vivienda unifamiliar en el cantón Girón.

 

 

Application of the Thermal Balance Equation to determine hygrothermal comfort in a single-family house= in canton Giron.=

 

 

Cristián Raúl Guzmán Clavijo. [1] &= amp; Doris Alexandra Alvear Calle.  [2] <= /span>

 

 

Recibido: 02-03-2021 / Revisado: 19-03-2021 /Aceptado: 26-03-2021/ Publicado: 05-04-2= 021

 

Abstract.                  Â=                             DOI: htt= ps://doi.org/10.33262/cienciadigital.v5i2.1722

 

The single-family hous= es in GirĂłn, a canton located in the south of the province of Azuay, reveals the lack of hygrothermal performance studies in = the design process that achieve successful internal thermal comfort conditions = for the users; scenario that falls into poor indoor environmental quality of li= fe. Through the thermal equilibrium, applying the heat balance equation, the research aims to determine the level of comfort or discomfort that the user experiences in the different the single-family house inner spaces. A qualitative research, starting at the exploratory level, with non-probabili= stic sampling and the application of surveys, allows to obtain GirĂłn population data. Heat balance calculations reveals if whether people are in comfort or in discomfort. The results exhibit that there are several factors which ward off the house users from being within the comfort zone; accordingly, it evidences the importance of the thermal balance analysis, which opens a wide range of possible recommendations that will allow reaching the expected levels comfo= rt.

Keywords: hygrothermal comfort, convection, conduction, metabolism, radiation, evaporation.

&nbs= p;

Resumen.

En el cantón Girón ubicado al sur = de la provincia del Azuay, se evidencia que las viviendas unifamiliares carecen d= e diagnósticos higrotérmicos en el proceso de diseño que garanticen las condiciones de c= onfort del usuario, ocasionando malestar en las condiciones de habitabilidad al interior de la vivienda. Mediante la aplicación de la ecuación del balance térmico se pretende determinar el grado de confort o = disconfort que experimenta el usuario en los diferentes espacios al interior de la vivienda unifamiliar. A través de una investigación cualitativa que parte= del nivel exploratorio, con el apoyo del muestreo no probabilístico y la aplic= ación de encuestas, se obtiene información de la población gironense que bajo el análisis del balance térmico determina si se encuentra en con= fort o en disconfort. Los resultados obtenidos exponen= que son diversos lo factores que impiden que los habitantes se encuentren dentr= o de la zona de confort, evidenciando como consecuencia la importancia del anál= isis del balance térmico, el mismo que abre un abanico de posibilidades para plantear recomendaciones que permitan alcanzar los niveles de confort anhel= ados.

Palabras claves: confort higrotérmico, convección, conducción, metabolismo, radiación, evaporación.

IntroducciĂłn.

La arquitectura, ese el arte de proyectar y construir, sin importar los estilos arquitectónicos, tiene la finalidad de brindar satisfacción y las condiciones adecuadas para los habitantes y sus relaciones con el entorno, es por ello que debe palpar el territorio en el = cual se construirá ya sea un edificio, hospital, vivienda, etc. y relacionarlo = con los factores climáticos con los cuales tendrá que trabajar para conseguir= el confort deseado para el hábitat de las personas; sin duda de los diferentes espacios que se pueden construir, la vivienda es el que resulta más factib= le de cumplir las expectativas y exigencias de confort (Canc= ino y Cortés, 2015).    <= /span>

Existen diferentes factores que ayudan a determi= nar el confort como son: los factores internos y factores externos, en lo que respecta a factores externos podemos decir que se refiere al grado de arropamiento, tipo y color de vestimenta, factores ambientales como tempera= tura de aire, temperatura radiante, humedad del aire, radiación, velocidad del viento, niveles lumínicos, niveles acústicos, calidad del aire, olores, r= uidos, elementos visuales, etc. (Murillo, 2011) considerando la diversidad a la qu= e se refiere se puede subdividir en dos tipos: los factores físicos o climátic= os en los que se encuentra la temperatura del aire, radiación, humedad y el movimiento del aire; y los factores individuales que abarcan la vestimenta, aclimatación, sexo, edad, forma del cuerpo, grasa subcutánea, alimentos y bebidas, color de la piel y estado de salud.

En cuanto a los factores internos que ayudan a determinar el confort tenemos: la raza, sexo, edad, características físic= as y biológicas, salud física o mental, estado anímico, grado de actividad metabólica, experiencias y asociación de ideas, entre otros (Murillo, 201= 1). De acuerdo a la percepción sensorial tenemos diferentes tipos de confort: hig= rotérmico, lumínico, acústico, olfativo y psicológico. De los cuales nos centraremo= s en el primero el confort higrotérmico.

Hablar de confort higrotérmico en muchos casos quizás considerarían irrelevante o innecesario, pero cuando de construcci= ones se trata este tema lleva sin duda una inclinación bastante significativa, = pues consideremos que los seres humanos queremos vivir en una edificación tranquila en la qu= e, no solo estemos aislados de ruidos externos sino también deseamos ese lugar e= n el que no necesitemos recubrirnos con exagerada vestimenta porque hay un día lluvioso y temperaturas bajas en el ambiente, o por el contrario abrir vent= anas o poner aire acondicionado porque el día está soleado y con temperaturas elevadas. Según Murillo (2011), el confort higro-térmico se puede definir como la ausencia de malestar térmico, y para que exista el mismo, los mecanismos termorreguladores del cuerpo no deben intervenir, éste confort se alcanza con una temperatura entre 21<= sup>oC y 25oC, y con una humedad relativa entre el 20% y 75%.

El equilibrio térmico del cuerpo humano puede expresarse mediante una ecuación denominada balance térmico del cuerpo hu= mano, en la que se representan los factores de ganancia (termogénesis) y pérdida (termólisis).

Tabla 1. Factores de ganancia

FACTORES

DESCRIPCIĂ“N

Metabolismo

Del proceso basal, pro= ceso digestivo, actividad y tensiĂłn muscular.

RadiaciĂłn

Del sol, directa y reflejada, de radiadores incandescentes y de objetos calientes no incandescentes.

ConducciĂłn

Por contacto con cuerp= os calientes.

ConvecciĂłn

Del aire con temperatura mayor que la piel.

Fuente: Murillo,2011.

Elaborado: <= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK; mso-bidi-font-weight:bold'>Cristian Guzmán

 

Tabla 2. Factores de pérdida

FACTORES=

DESCRIPCIĂ“N

RadiaciĂłn

Al cielo y superficies frĂ­as.

ConducciĂłn

Por contacto con cuerpos frĂ­os.

ConvecciĂłn

Al aire con temperatura menor que la piel.

EvaporaciĂłn

Por respiraciĂłn y transpiraciĂłn.<= /span>

Fuente: Murillo,2011.

Elaborado: <= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK; mso-bidi-font-weight:bold'>Cristian Guzmán

 

Existirá éste deter= minado equilibrio térmico cuando el ambiente esté térmicamente neutro, esto qui= ere decir cuando la termogénesis se equilibra con la termólisis, no se almace= na calor y la temperatura corporal se equilibra (Murillo, 2011), es decir:

M+/- R +/- Cd +/- Cv – E =3D 0                  =            Ecuación 1.=

Donde:

M=3Dmetabolismo

R=3DradiaciĂłn (porcenta= je en relaciĂłn al metabolismo)

Cd=3DconducciĂłn

Cv=3DconvecciĂłn

E=3DevaporaciĂłn

 =

Si la suma es mayor a 0 quiere decir que el cuer= po se está calentando y se producirán regulaciones vasomotoras, por otro lad= o, si la suma es menor a 0 quiere decir que el cuerpo se está enfriando. El ser humano tiene una temperatura interna propia e independiente del ambiente del medio externo, regularmente esta temperatura es de 36.50C a 37 <= sup>0C, sin embargo, el ser humano puede soportar temperaturas internas entre 250C a 420C, pero por períodos cortos de tiempo. El cuerpo humano pu= ede ser considerado como una máquina térmica que necesita una cierta cantidad= de calor para que pueda funcionar, la principal fuente de calor para el organi= smo es la producción del calor metabólico (M), el cuerpo de las personas prod= uce calor ya sea estando en reposo o en movimiento, una parte de éste se trans= mite al ambiente en un porcentaje estimado de un 80% y tan solo un 20% es utiliz= ada (Murillo, 2011).

Es importante indicar que para desarrollar la ecuación de balance térmico se requiere primero obtener el valor de cada = uno de los componentes de la ecuación a través de sub ecuaciones de; Metabolismo= , Radiación, Conducción, Convección y Evaporación.

Metabolismo

Para conocer el valor de metabolismo (M) se apli= ca la siguiente ecuaciĂłn elaborada por Harris Benedict la cual se aplica para determinar la tasa metabĂłlica:

Tabla 3. EcuaciĂłn de Harris Benedict

HOMBRES

TMB =3D (10 x peso en kg) + (6,25 x altu= ra en cm) – (5 x edad en años) + 5

MUJERES

TMB =3D (10 x peso en kg) + (6,25 x altu= ra en cm) – (5 x edad en años) – 161

Fuente: Murillo,2011.

Elaborado: <= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK; mso-bidi-font-weight:bold'>Cristian Guzmán

 

Para conocer el metabolismo de acorde a las diferentes actividades, se emplea la siguiente tabla, la cual está calcula= da para una superficie corporal de 1.72m2.

Tabla 4. Tabla de metabolismo de las diferentes actividades.

ACTIVIDAD

W/m2

Met

W/persona

Dormir

= 40

= 0,70

= 69

Estar acostado

= 45

= 0,80

= 77

Sentado con movimiento modera= do

= 60

= 1,00

= 103

Sentado con actividad ligera<= o:p>

= 64

= 1,10

= 110

De pie sin movimiento

= 70

= 1,20

= 120

De pie con actividad ligera

= 78

= 1,30

= 134

De pie con levantamiento y transporte moderados

= 93

= 1,60

= 160

Trabajo manual ligero

= 100

= 1,70

= 172

Caminar en horizontal (2km)

= 110

= 1,90

= 189

Bailar (actividad social)

= 111

= 1,90

= 191

ConstrucciĂłn ligera

= 125

= 2,20

= 215

Trabajo manual moderado<= /o:p>

= 139

= 2,40

= 239

Lavar platos

= 145

= 2,50

= 249

Limpieza doméstica

= 150

= 2,60

= 258

Ejercicio moderado=

= 167

= 2,90

= 287

Lavar a mano, planchar

= 170

= 2,90

= 292

ConstrucciĂłn moderada

= 180

= 3,10

= 310

Caminar en horizontal (5Km)

= 200

= 3,40

= 344

Trabajo manual pesado

= 235

= 4,10

= 404

Ejercicio intenso<= /span>

= 250

= 4,30

= 430

ConstrucciĂłn pesada

= 275

= 4,70

= 473

Ejercicio o trabajo muy inten= sos

= 450

= 7,80

= 774

Correr (15 Km)

= 550

= 9,50

= 946

<= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK'= >Fuente: Murillo,2011.            =

<= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK'= >Elaborado: Cristian Guzmán

 

En el caso de que se desee calcular la superficie corporal de un individuo en etapa adulta se utiliza la siguiente ecuaciĂłn = de Mosteller:

X=3D                         =            Ecuación 2.=

Mientras que para niños se aplica la ecuación = de Haycock:

X=3D 0,024265 * peso (kg)0,5378 * altura (cm)<= sup>0,3964                         =                                     Ecuación 2.1.

RadiaciĂłn.

Para conocer el va= lor R (radiaciĂłn) se aplica la siguiente ecuaciĂłn:

R=3D e*ð*A*ΔT                        =                            Ecuación 3.=

En la que:

R=3D flujo de calor por radiaciĂłn (W)

e=3D emisividad-absorbencia de 0.7 a 0.9, depend= iendo de la pigmentaciĂłn, para ello se puede basar en la siguiente tabla:

 <= /span>

Tabla 5. Tipos de piel

TIPO

NOMBRE

CARACTERISTICAS

(e) ESTIMADO

TIPO I

CĂ©ltica

Piel muy pálida, cabello rojizo, muchas pecas

0,65

TIPO II

Pálido

Piel pálida, cabello rubio, algunas pec= as

0,70

TIPO III

Caucásica

Piel caucásica, cabello castaño, sin p= ecas

0,75

TIPO IV

Mediterránea

Piel marrĂłn, cabello y ojos oscuros

0,80

TIPO V

Indio americano

Piel marrĂłn oscuro, cabello oscuro=

0,85

TIPO VI

Negra

Piel y cabello negro

0,90

Fuente: Murillo,2011.

Elaborado: Cristian Guzmán

 =

A: porciĂłn de la superf= icie corporal de la persona en m2.

Ă°:5.6703*10<= sup>-8 watt/m2k4

AT: diferencia de temperatura (k4 grados kelvin)

AT: tn4 -ta4

Tn: temperatura neutra (k4 grados kelvin), que hace referenc= ia a la temperatura en la que el cuerpo tiene el menor esfuerzo para mantener su equilibrio térmico con el medio circundante, y para calcularlo se aplica la siguiente fórmula de Szokolay.

Tn=3D 17,6 + 0,31Tm                               Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  EcuaciĂłn 4.=

Zc=3D Tn +/- 2,5°C                                             Ecuación 5.

Tn: Temperatura neutra (0C)<= /span>

Tm: temperatura media (<= sup>0C)

Zc: zona de confort

 =

ConvecciĂłn.

Para conocer el valor Cv (convecciĂłn) tenemos la ecuaciĂłn:

Cv=3D hc*A* <= b>ΔT        Â=  Â      Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â   EcuaciĂłn 6.

Cv: flujo de energĂ­a calorĂ­fica

hc: coeficiente de convecciĂłn (W/m2c0), para superficies expuestas a vientos exteriores se emplea la siguiente ecuaciĂłn, en la que v=3Dvelocidad del viento (m/sg).

Hc=3D 5,8 + 4,1v        Â=  Â          =                  EcuaciĂłn 7.=

A: porcentaje de superficie corporal (m2)

ΔT: diferencia de temperatura (0C)

ΔT: diferencia de temperatura (k4 grados kelvin)

ΔT: tn4 -ta<= sup>4

 

ConducciĂłn.

Para conocer el valor conducción (Cd) tenemos q= ue conocer acerca de la misma, pues la Cd no es más que la transmisión del calor en= tre la piel y los elementos en contacto, es decir con la ropa, ya que ésta se = opone al paso del calor por lo que el hombre se protege del frio arropándose y d= el calor desnudándose. La integración de la vestimenta en el proceso de inte= rcambio se realiza mediante la definición de una unidad de aislamiento denominada = clo (clothe=3Dropa) que equivale a 0,155 m2*grado C / W, para ello empleamos la tabla con el valor clo.

 

Tabla 6. V= alores clo de acuerdo a combinaciones de vestuario.

NIVEL DE VESTUARIO

Clo

M2 * grado C / W

Cuerpo desnudo

0

0

Bikini similar

0,05

0,008

Ropa tropical: interior ligero + camisa corta + pantalĂłn corto

0,20

0,031

Ropa ligera: interior ligera + camisa c= orta + pantalĂłn ligero

0,50

0,078

Traje tropical

0,80

0,124

Traje formal de negocios incluido chaleco

1,00

0,155

Traje con abrigo de lana y ropa interior larga

1,60

0,248

Ropa de esquimales

3,50

0,546

Fuente: Murillo,2011.            =

<= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK'= >Elaborado: Cristian Guzmán

 

Una vez que entendido el v= alor clo se procede a la ecuaciĂłn para obtener el valor de la conductividad:

Cd=3D A*Ct*ΔT                                      Ecuación 8.

Donde:

Cd: flujo de energĂ­a calorĂ­fica por conducciĂłn = (W)

A: área expuesta al flujo de calor (m2= )

Ct: conductacia total (W= /m2 oC)

Ct: Cc-Cm

Cc: conductancia corporal (k/b)

k: conductividad del material, piel (0,34W/m oC)

b: espesor del material, piel (0,001m)<= /span>

Cm: conductancia del material (W/m2 oC)

ΔT: diferencia de temperaturas (oC)=

 =

EvaporaciĂłn.

Para conocer el valor E (evaporaciĂłn) tenemos la ecuaciĂłn:

 

Qe=3D 666,66*e*v   =                              =    Ecuación 9.

En el que:

Qe: pérdida total por vaporación en watts (W)

ev: tasa de evaporaciĂłn en kg/h, este valor es un= a constante y es igual a 1,5kg/h, pero podrĂ­a variar segĂşn las caracterĂ­sticas de las personas.

 

Cancino y Cortés (2015) realizaron una investigación = cuyo objetivo principal era analizar cuánto y cómo inciden los mejoramientos técnicos de la MART en el confort-higrotérmico el hábitat residencial pa= ra lo cual seleccionaron tres casos de estudio, encuestas de percepción a los habitantes y comparación de resultados, todo ello para demostrar la import= ancia del confort higrotérmico (CH) en una vivienda y como un mejoramiento técn= ico puede incidir en la percepción de quienes habitan. Di= ulio et al (2012), consideran la importancia del estudio e implementación de técnicas de análisis y de ap= licación de métodos para mejorar el confort higrotérmico en las viviendas para ello utilizan microadquisidores de datos HOBO. Otros autores también hablan con respecto al confort higro<= /span>-térmico mencionando a las variables de temperatura, humedad y ventilación de los espacios habitados y su relación directa con del diseño y reglamentación técnica, con las características de la vivienda, con el clima del entorno= y las prácticas sociales de los habitantes (Lisandro, 2015), lo que da a conocer= la necesidad del estudio y aplicación de técnicas adecuadas para la construc= ción de una vivienda.

Son pocos los estudios realizados sobre CH y por ende son muchas las incertidumbres que se presentan, lo que genera la neces= idad de realizar un estudio más profundo sobre ésta temática que permita dar respuesta a las necesidades de las personas, pues no es una novedad escucha= r a los propietarios de viviendas decir que: su casa es fría, que se sofocan en épocas de verano, que la humedad impide que puedan descansar en las noches= , y otras frases más; sin duda la falta de criterio técnico en el momento de constr= uir en el que personas no especializadas en la rama de la arquitectura meten su ma= no para edificar, y no sólo eso también la falta de recursos económicos o el inmediatismo de los propietarios hacen que éste apartado crucial para su homeostasis, sea desplazado, dejándolo en segundo plano y acarreando posteriormente con las consecuencias dentro de las cuales la principal es la incomodidad.

 =

Metodologia.

La investigación parte de un objetivo principal el cual consiste en aplicar la ecuación del balance térmico, a la población= del cantón Girón para determinar el nivel de confort higrotérmico, éste pro= ceso se lleva a cabo a través del uso de una investigación cualitativa, que parte= del nivel exploratoria, ya que es un campo nuevo de estudio que deja una puerta abierta a nuevas y futuras investigaciones; éste tipo de investigación ti= ene dos metas principales la comprensión y descripción de los fenómenos en un contexto determinado, en éste caso las características físicas y comportamentales de la persona y las especificaciones técnicas de los interiores de la vivienda; el tipo de muestreo a utilizar, es el muestreo no probabilístico, considerando que las familias a participar fueron voluntar= ias; el diseño con el cual se enfoca éste proceso investigativo es la investigación-acción, ya que está encaminada en un futuro a poder resolv= er el problema de  confort en la vivienda partiendo de una base teórica.

PoblaciĂłn y muestra

GirĂłn es un cantĂłn ubicado al sur de la provinci= a de Azuay, de acuerdo al Instituto Nacional de EstadĂ­sticas y Censos (INEC) ex= isten 3481 familias integradas cada una por 3.59 integrantes, con la finalidad de obtener informaciĂłn del promedio de habitantes del cantĂłn para el cálcul= o del balance tĂ©rmico, se empleará la tĂ©cnica de encuestas, para determinar nĂ= şmero de familias que deben ser encuestadas se aplica la ecuaciĂłn de muestreo estratificado:

Donde:

N:es el tamaño de la población o universo (número total de familias a encuest= ar)

k: constante que dependerá del nivel de confianza que se asigne, el nivel de confianza indica la probabilidad de que los resultados de nuestra investiga= ción sean ciertos:  en este caso se uti= liza un 90% de nivel de confianza, por ende K=3D 1.65.

e: error muestral deseado, es decir, viene a ser la diferencia que puede haber entre el resultado que obtenemos, preguntando a una muestra de la població= n y el que obtendríamos si preguntásemos al total de la población.

p: es la proporción de individuos que poseen en la población la característ= ica del estudio, éste dato por lo general tiende a ser desconocido y se suele supo= ner que p=3Dq=3D0.5 que es la opción más segura.

q: es la proporciĂłn de individuos que no poseen esa caracterĂ­stica, es decir= , es 1-p.

n: es el tamaño de la muestra (número de encuestas que se ejecutarán). (Net= works, 2001 2013).

Ecuación aplicada que sirvió para determinar el número de familias que debían ser encuestadas, cuya muestra será considerada estadísticamente como válida:=

 

De acuerdo a la ecuación resultante, se demuestra= que la muestra óptima para que los resultados sean válidos y confiables es de= 66.67 familias, con las cuales se procede a la aplicación de una encuesta en la = que se describirán los diversos espacios de la casa, usos y actividades desarrolladas por integrantes de la familia.

TĂ©cnicas e instrumentos=

Se realizó una encuesta administrada por el investigador como técnica de recogida de información con la cual a travé= s de preguntas cerradas y abiertas se pretendía conocer la realidad individual = de los integrantes de la familia desde las actividades que realiza, espacios de mayor uso, horarios, estatura, peso, etc.

Procedimiento

Se parte de la aplicación de la ecuación de mues= treo estratificado para obtener el valor de la muestra (N) la cual tendrá un ni= vel confiabilidad del 90%, resultado de ésta se determina que N=3D67. Una vez obtenido éste valor se aplican encuestas a las = 67 familias, considerando a cada uno de los integrantes como autores principal= es para proporcionar su información; los resultados exponen que la casa prome= dio del cantón Girón cuenta con: cocina, comedor, sala, estudio y 4 dormitori= os. Por temas explicativos y aplicativos se ejemplifica la aplicación de la ecuación de equilibrio térmico  = con una familia escogida al azar, a la cual nombraremos CQ, conformada por: padre, madre, hijo y tío; en base a la información proporcionada en la encuesta = por cada uno de ellos, se logra aplicar la ecuación de equilibrio térmico de = manera individual para la cocina, sala, comedor, estudio y dormitorio; al realizar éste proceso en el que se utiliza la ecuación mencionada se demuestra la eficacia y utilidad de la misma para obtener un confort higro-térmico en los diferentes espacios de la vivienda.

Para aplicar la ecuación de equilibrio térmico se realiza el siguiente procedimiento, en éste cas= o se utilizará como referencia los datos obtenidos en la encuesta a quién ejer= ce el rol de padre de la familia CQ

Metabolismo

Espacio de vivienda: cocina

Actividad: lavar los platos

Valor de metabolismo en la cocina: 134W, 249W=

Superficie corporal: 1,9965m2

M=3D443,12W

RadiaciĂłn

 R=3D e*Ă°*A*ΔT               Â=  Â Â Â Â Â Â                 EcuaciĂłn 3.

R=3D(0,75)*(5,6703*10-8= watt/m2k4)*(1,9965m2)*(296,050K= )-(292,300K)4

R=3D(0,75)*( 5,6703*10-= 8watt/m2k4)*( 1,9965m2)*(3,750K4)

R=3D3,18x10-7W (este resultado implica = que la persona esta desnuda, como no es el caso, R=3D 7,95x10-8W.<= /o:p>

ConducciĂłn

             Cd=3D A*= Ct*ΔT                                     Ecuación 8.

Vestimenta: medias, camiseta manga corta, pantalon= es normales, zapatos suela fina.

Resistividad total: 0,074m2gradoC/W

Conductancia:        1

                        Resistividad

Conductancia total: 13,51W/ m2gradoC+ (0,34/0,01) W/ m2gradoC=

Conductancia total: 47,51W/ m2gradoC

Cd:(1,9965m2) *(47,51W/ m2gradoC) *(3,7= 40C)

Cd: 354,75W

ConvecciĂ= łn

Cv=3D hc*A* ΔT    Â=  Â Â Â Â Â                                    =     EcuaciĂłn 6.

Cv:(10W/ m20C) *(1,9965m2) * (3,740<= /sup>C)

Cv:74,67W

 

Evaporaci= Ăłn

                         Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  Qe=3D 666,66*e*v                                   EcuaciĂłn 9.

Qe:666,66hora/Kg*1,5Kg/h

Qe:999,999

    Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â =      M+/- R +/- Cd +/- Cv – E =3D 0              EcuaciĂłn 1.

443,12W+7,95x1= 0-8W-354,75W-47,67W-999,99=3D0

Como resultado de la ecuación obtenemos -986,289 = al ser un resultado negativo concluimos que el individuo está enfriándose, se reduce la circulación sanguínea hacia la piel.

Este procedimi= ento se ejecuta en cada uno de los espacios de la vivienda y por los cuatro integrantes de la familia CQ cuyo ejemplo se está utilizando para la ejemplificación.

Resultados.

Luego de ejecutado el proceso de investigación y = de aplicar la ecuación de equilibrio térmico para cada uno de los integrante= s de la familia en los cinco espacios de la vivienda: cocina, dormitorio, sala, comedor y estudio, y contrastando con los resultados de la encuesta realiza= da por los mismos, se puede obtener las siguientes tablas (tabla 7 y Figura 1.= ), mismas en las que se visualizará el valor de balance térmico y las recomendaciones generales para lograr que los espacios de uso frecuente por= los integrantes de la familia puedan brindar ese confort h= igro-térmico anhelado, con lo cual también se puede elaborar un prototipo de vivienda unifamiliar con un adecuado confort-higrotérmico realizando dicho proceso.=

 

Tabla 7. Cálculo del balance térmico en los diferentes espacios de la vivienda para los 4 integrantes

INT= EGRANTE

DOR= MITORIO

SAL= A

COM= EDOR

COC= INA

EST= UDIO

Pap= á

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D -350,6944667

 = Cv=3D hc * A * Δ T

Cv<= span lang=3DEN-US style=3D'font-size:8.0pt;font-family:"Arial",sans-serif;mso-= ansi-language: EN-US'>=3D -197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666= ,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D -350,6944667

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D- 10,5

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D-350,6944667

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 7,95 x=

Cd=3D A * Ct * Δ T

 Cd=3D -354,75

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D - 74,67=

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -999,99=

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D -350,6944667

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

Mam= á

R=3D e * Ď * A *= Δ T

R=3D 3,68011E-07

Cd=3D A * Ct * Δ T

 Cd=3D-31,36706668

 = Cv=3D hc * A * Δ T

Cv<= span lang=3DEN-US style=3D'font-size:8.0pt;font-family:"Arial",sans-serif;mso-= ansi-language: EN-US'>=3D -17,63318031

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666= ,66 * ev

Qe=3D- 10,5

R=3D e * Ď * A *= Δ T

R=3D 3,68011E-07

Cd=3D A * Ct * Δ T

 Cd=3D -31,36706668

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -17,63318031

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D  -10,5

R=3D e * Ď * A *= Δ T

R=3D 3,68011E-07

Cd=3D A * Ct * Δ T

 Cd=3D -31,36706668

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -17,63318031

<= span lang=3DEN-US style=3D'font-size:8.0pt;font-family:"Arial",sans-serif;mso-= ansi-language: EN-US'>Qe=3D 666,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 3,68011E-07

Cd=3D A * Ct * Δ T

 Cd=3D -31,36706668

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -17,63318031

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5 

R=3D e * Ď * A *= Δ T

R=3D 3,68011E-07

Cd=3D A * Ct * Δ T

 Cd=3D -31,36706668

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -17,63318031

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D  -10,5

Hij= o

R=3D e * Ď * A *= Δ T

R=3D 3,92882E-07

Cd=3D A * Ct * Δ T

 Cd=3D-33,48692777

 = Cv=3D hc * A * Δ T

Cv<= span lang=3DEN-US style=3D'font-size:8.0pt;font-family:"Arial",sans-serif;mso-= ansi-language: EN-US'>=3D -18,82487264

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666= ,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 3,92882E-07

Cd=3D A * Ct * Δ T

 Cd=3D -33,48692777

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -18,82487264

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 3,92882E-07

Cd=3D A * Ct * Δ T

 Cd=3D-33,48692777

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -18,82487264

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 3,92882E-07

Cd=3D A * Ct * Δ T

 Cd=3D -33,48692777

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -18,82487264

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -999,99=

R=3D e * Ď * A *= Δ T

R=3D 3,92882E-07

Cd=3D A * Ct * Δ T

 Cd=3D -33,48692777

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -18,82487264

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

TĂ­= o

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D-350,6944667

 = Cv=3D hc * A * Δ T

Cv<= span lang=3DEN-US style=3D'font-size:8.0pt;font-family:"Arial",sans-serif;mso-= ansi-language: EN-US'>=3D -197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666= ,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D- 350,6944667

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D-197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D-350,6944667

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

R=3D e * Ď * A *= Δ T

R=3D 1,67x=

Cd=3D A * Ct * Δ T

 Cd=3D -354,75

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -74,67<= o:p>

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -999,99=

R=3D e * Ď * A *= Δ T

R=3D 4,11449E-06

Cd=3D A * Ct * Δ T

 Cd=3D -350,6944667

 = Cv=3D hc<= /span> * A * Δ T

Cv=3D -197,1449492

<= span lang=3DES-EC style=3D'font-size:8.0pt;font-family:"Arial",sans-serif'>Qe<= /span>=3D= 666,66 * ev

Qe=3D -10,5

Fuente: Murillo, 2011.<= o:p>

Elaborado: Cristian Guzmán

 

Figura 1. Resultados de confort higro-térmico.

Fuente: Guzmán, 2016.

<= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK'= > 

<= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK'= > 

<= span lang=3DES-EC style=3D'font-size:10.0pt;line-height:115%;font-family:"Arial"= ,sans-serif; mso-ansi-language:ES-EC;mso-fareast-language:EN-US;mso-bidi-language:SI-LK'= > 

Conclusiones.

·         En el cantĂłn GirĂłn existen vivi= endas que en su mayorĂ­a cuentan con: cocina, sala, comedor, estudio y cuatro dormitorios pero que no han sido diseñadas con un criterio enfocado al con= fort higrotĂ©rmico, lo que genera un malestar en las personas que habitan la uni= dad de vivienda. Al utilizar la fĂłrmula del balance o equilibrio tĂ©rmico pode= mos conocer de manera más clara y precisa cuales son las condiciones que requi= eren los diferentes espacios para que puedan sus habitantes percibir o sentirse = en confort, sin embargo, por el tiempo que esto requiere y los costos que impl= ican no han sido adaptadas por la ciudadanĂ­a llegando a convertirse en un cĂ­rc= ulo vicioso en el que el malestar y problema están latentes, aunque la soluciĂ= łn estĂ© cercana.

·      =    Las per= sonas experimentan diferentes sensaciones tĂ©rmicas corporales de acuerdo a la actividad que se encuentre realizando en un determinado espacio, esta varia= ciĂłn depende exclusivamente del balance higrotĂ©rmico y la vestimenta que son directamente proporcionales a la actividad que realiza, por cuanto al aplic= ar la fĂłrmula se abre un abanico de posibilidades para plantear recomendacion= es que permitan alcanzar los niveles de confort anhelados que pueden ir desde ampliar los espacios fĂ­sicos, considerar diferentes materiales en la construcciĂłn como adobe, ladrillo, etc., colocar espacios de ingreso a la = luz por ende al calor, todo esto considerando que el metabolismo arrojará siem= pre un resultado positivo puesto que es la ganancia del calor generada por el cuerpo, la radiaciĂłn es positiva debido a que la radicaciĂłn del sol es di= recta, la conducciĂłn es negativa porque el cuerpo humano es expuesto al contacto = con el frĂ­o, la convecciĂłn resulta negativa debido a que la temperatura del a= ire es menor a la temperatura interna del cuerpo humano, y la evaporaciĂłn siempre arroja un valor negativo debido a la evapotranspiraciĂłn; cuando el resulta= do final de la ecuaciĂłn nos arroja un resultado negativo se entiende que el c= uerpo está enfriándose y por el contrario si el resultado es positivo el cuerpo= se está calentando.

 =

Agradecimiento.=

El presente artĂ­culo es parte del trabajo de investigaciĂłn y titulaciĂłn del Programa de MaestrĂ­a en ConstrucciĂłn con= MenciĂłn en AdministraciĂłn de la ConstrucciĂłn Sustentable de la Universidad CatĂłl= ica de Cuenca, por ello agradecemos a todos y cada uno de los instructores por los conocimientos e informaciĂłn brindados para la elaboraciĂłn del trabajo.

Referencias bibliográficas.=

Cancino= , C., CortĂ©s, A., (2015). Confort higro-tĂ©rmico en vivienda social y la percepciĂłn    Â=  Â Â Â Â Â  del habitante. Revista INVI, 30 (85= ). Recuperado desde: h https://scielo.conicyt.cl/scielo.php?script=3Dsci_arttext&pid=3DS= 0718-         <= /span>83582015000300008&lang=3Des

Czajkowski, J., Diulio, M., Garc= Ă­a, M., Marcilese, M., Salvett= i, B., Vagge, C. (2012). E  EvaluaciĂłn del confort higrotĂ©rmico invernal en viviendas unifamiliares del Gran           =   la Plata mediante auditorias. Avances en ene= rgĂ­a renovable y medio ambiente, 16.      Â=  Â Â Â Â  R Recuperado desde:             http://sedici.unlp.edu.ar/bitstream/handle/10915/89568/Documento_compl= eto.pd f-   Â=  Â Â Â Â  PDFA.pdf?sequence=3D1&isAllowed=3Dy

Garduño, A., Hernández, S. (2010). Tecnologías actuales aplicadas al desarrollo urbano s sustentable. Acta Universitaria, 20(1),25-34. Recuperado desde:        https://www.redal= yc.org/articulo.oa?id=3D416/41613084003

Guzmán, C.(2016). Recomendaci= ones bioclimáticas para el diseño de vivienda =   unifamiliar      en un clima ecuatorial meso= térmico semihúmedo ubicado en el cantón G= irón de la     Provincia del Azuay. R= epositorio UCACUE.  =

Lisandro, S. (2015). Los intelectuales y el poder = en la producciĂłn del hábitat residencial  Â=  Â Â Â Â Â Â Â Â Â  de        interĂ©s social. Rev= ista INVI, 30(85),9-20. Recuperado desde:         https://www.red= alyc.org/articulo.oa?id=3D258/25842618001

Murillo, R. (2011). Arquitectu= ra bioclimática. Guayaquil: Editorial de publicaciones de la    =      Universidad Católica de Santiago de         Guayaquil.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

PARA CITAR EL ARTĂŤCULO INDEXADO.

 

 

Guzmán Clavijo, C. R., & Alvear Calle, D. A. (2021). AplicaciĂłn de la EcuaciĂ= łn del Balance TĂ©rmico para determinar el confort higrotĂ©rmico en la vivienda unifamiliar en el cantĂłn GirĂłn . Ciencia Digit= al, 5(2), 149-164. http= s://doi.org/10.33262/cienciadigital.v5i2.1722

 

 


 

 

 

El artĂ­culo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revi= sta Ciencia Digital.

 

El artĂ­culo queda en propiedad de la revista y, por tanto, su publicaciĂłn pa= rcial y/o total en otro medio tiene que ser autorizado por el director de la Revista Ciencia Digital.

 

 

 

 



[1]Universidad CatĂłli= ca de Cuenca, Facultad de Arquitectura, Cuenca, Ecuador. cguzman23@ucacue.est.edu.ec=

[2]Universidad CatĂłlica de Cuenca, Facultad de Arquitectura. Cuenca, Ecuador. doris.alvear@ucacue.edu.ec

------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/item0001.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml Wul13JournalArticle{85036D1D-B423-4696-A9F8-74A5479186CA}The= effect of polymer surfactant on the rheological properties of nanoemulsion= s.Colloid and Polymer Science 2013 709–716291Wulff-Pérez MiguelMartín-RodriguezAntonioGálvez-RuizMaría J.de Vicente<= b:First>Juan11Zam15= JournalArticle{FB40766B-903F-463C-A57E-3F34CA9E5021}= Composite chitosan/Agarose ferrogels for potential applic= ations in magnetic hyperethermiaGels.201569-801Zamora MoraV= anessaSoaresPaula = I.P.EcheverriaCoro= Hernández Rebeca<= /b:First>MijangosCarmen5Bha10JournalArticle{3EC2A2EA-5A35-480A-9A1D-C11383B455BF}= Supermacroprous chitosan-agarose-gelatin cryogels. in vitro characterizatio= n and in vivo assesment for cartilage tissue engineering.Journal of the Royal Society Interface20101-15BhatSmuritaTr= ipathiAnujKumarAshok4Rui04Report{289ADC54-049A-4459-B615-36603B0D1B08}<= /b:Guid>Desarrollo de un Sistema de liberación de fármacos basad= o en nanopartículas magnéticas recubiertas con Polietilénglicol para el = tratamiento de diferentes enfermedades.2004Universidad Autónoma de Madrid. Departamento de Física Aplicada.<= /b:Publisher>MadridRuiz EstradaGladys Amalia= 9Cor11JournalArticle{2CE82786-F4F8-40AE-B743-82C4554E5E89}Hidrogeles nanoe= structurados termosensibles sintetizados mediante polimerización en microe= mulsión inversa.Revista Mexicana de Ingeniería Q= uímica.2011513-520103CortésJ. A.= PuigJ. E.M= orales J. A.Mendiz= ábalE.13MarcadorDePosi= ción1JournalArticle{819DA773-= 947B-4BC2-855C-003DB219D8AF}Enhanced spinnability of narb= on nanotube fibers by surfactant additionFiberes a= nd Polymers2014762-766<= b:Volume>154<= b:Person>Song JunyoungKingSoyo ungYoon SoraCho= DaehwanJeongYoungjin12Ilg13JournalArticle{752C8BEE-7C38-4885-8859-F6506= 8501C9B}Stimuli-responsive hydrogels cross-linked by magn= etic nanoparticles.Soft Matter20133465-34689IlgPatrick14Bos15JournalArticle{8726F6AC-1312-4A0D-94FD-908B651CD5BC}Functionalized microfibers for field-responsive materials and biological a= pplications.2015= BossisGeorgesMarinsJéssica A.KuzhirPavelVolkovaOlgaZu= barevAndrey<= /b:Author>Journal of Intelligent Material Systems and Struct= ures1-915Lin12JournalArticle{CABBB6F0-E9CB-4C6D-BB4E-88B488FEA5A4}Microflu= idic synthesis of microfibers for magnetic-responsive controlled drug relea= se and cell culture.PLoS ONE20121-873Lin= Yung-ShengHuangKen= g-ShiangYangChih-H= uiWangChih-YuYangYuh-ShyrongHsuHsiang-ChenLiaoYu-Ju= TsaiChia-Wen3Tar05JournalArticle{8A= 89917D-A7C1-4E7C-9FB6-ED9C063087E3}Advances in magnetic n= anoparticles for biotechnology applications.Journa= l of Magnetism and Magnetic Materials2005<= b:Pages>28-34290TartajP.MoralesM. P.González-CarreñoT.= Veintemillas-VerdaguerS.SernaC. J.1Gar03JournalArticle{9B65BBFA= -A814-4A04-9249-A6A47D160DAB}Síntesis y propiedades de f= errofluidos de magnetita2003Super= ficies y Vacío.28-31161G= arcía-CerdaL.A.Ro= dríguez-FernándezO.S.Betancourt-GalindoR.<= b:Last>Saldívar-GuerreroR.Torres-TorresM.A.2Dia11JournalArticle{7FD6F7= BB-B6BD-4D3D-AC43-1AF5FDBD6366}A biotechnological perspec= tive on the application of iron oxide magnetic colloids modified with polys= accharides.2011<= b:Person>DiasA.M.G.C.HussainA.MarcosA.SRoqueA.C.A.142–155Biotechnology Advances 29 296Lew11JournalArticle{69BACEF5-DDAD-42EE-BC36-71ACEA6223A9}Biohybrid carbo= n nanotube/agarose fibers for neural tissue engineering.2= 011Advanced Functional Materials2624-263221LewitusDan Y.= BranchJonathan R.<= b:Person>SmithKaren L.CallegariGerardoKohnJoachimNeimarkAlexander V.<= /b:Author>7= Est10JournalArticle{AD2B1400-8= 746-4FD6-8914-4CA8F67548A7}Hidrogeles poliméricos potenc= ialmente aplicables en Agricultura.2010Revista Iberoamericana de Polímeros76-87122Estrada GuerreroRodolfo F.Lemus TorresDafneMendoza AnayaDemetrioRodriguez LugoVentura<= /b:First>8Ald16JournalArticle= {D12368F2-04FB-475B-B3C1-20843943EEEC}Facile synthesis of magnetic agarose microfibers by directed selfassemb= lyPolymer201661-6493= AldanaSamuelVeredaFernando= Hidalgo-AlvarezRoquede VicenteJuan10 ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/props002.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/themedata.thmx Content-Transfer-Encoding: base64 Content-Type: application/vnd.ms-officetheme UEsDBBQABgAIAAAAIQDp3g+//wAAABwCAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKyRy07DMBBF 90j8g+UtSpyyQAgl6YLHjseifMDImSQWydiyp1X790zSVEKoIBZsLNkz954743K9Hwe1w5icp0qv 8kIrJOsbR12l3zdP2a1WiYEaGDxhpQ+Y9Lq+vCg3h4BJiZpSpXvmcGdMsj2OkHIfkKTS+jgCyzV2 JoD9gA7NdVHcGOuJkTjjyUPX5QO2sB1YPe7l+Zgk4pC0uj82TqxKQwiDs8CS1Oyo+UbJFkIuyrkn 9S6kK4mhzVnCVPkZsOheZTXRNajeIPILjBLDsAyJX89nIBkt5r87nons29ZZbLzdjrKOfDZezE7B /xRg9T/oE9PMf1t/AgAA//8DAFBLAwQUAAYACAAAACEApdan58AAAAA2AQAACwAAAF9yZWxzLy5y ZWxzhI/PasMwDIfvhb2D0X1R0sMYJXYvpZBDL6N9AOEof2giG9sb69tPxwYKuwiEpO/3qT3+rov5 4ZTnIBaaqgbD4kM/y2jhdj2/f4LJhaSnJQhbeHCGo3vbtV+8UNGjPM0xG6VItjCVEg+I2U+8Uq5C ZNHJENJKRds0YiR/p5FxX9cfmJ4Z4DZM0/UWUtc3YK6PqMn/s8MwzJ5PwX+vLOVFBG43lExp5GKh qC/jU72QqGWq1B7Qtbj51v0BAAD//wMAUEsDBBQABgAIAAAAIQBreZYWgwAAAIoAAAAcAAAAdGhl bWUvdGhlbWUvdGhlbWVNYW5hZ2VyLnhtbAzMTQrDIBBA4X2hd5DZN2O7KEVissuuu/YAQ5waQceg 0p/b1+XjgzfO3xTVm0sNWSycBw2KZc0uiLfwfCynG6jaSBzFLGzhxxXm6XgYybSNE99JyHNRfSPV kIWttd0g1rUr1SHvLN1euSRqPYtHV+jT9yniResrJgoCOP0BAAD//wMAUEsDBBQABgAIAAAAIQAC Thl/wwYAAFEaAAAWAAAAdGhlbWUvdGhlbWUvdGhlbWUxLnhtbOxZz48bNRS+I/E/WHNP82smP1bN Vskk6UJ326pJi3r0Jk7GXc84mnF2G1WVUHtEQkIUxIFK3DggoFIrcSl/zUIRFIl/gWfPZGInDtuu elih7l4ynu89f37P/p49vnzlfsjQMYkTyqOWU75UchCJRnxMo2nLuT3sFxoOSgSOxpjxiLScBUmc K7sffnAZ74iAhASBfZTs4JYTCDHbKRaTETTj5BKfkQjeTXgcYgGP8bQ4jvEJ+A1ZsVIq1YohppGD IhyC2yHYoDFBNyYTOiLO7tJ9j0EfkUhkw4jFA+mcZDYadnxUlohkkfgsRseYtRzoacxPhuS+cBDD iYAXLaek/pzi7uUi3smMmNhiq9n11V9mlxmMjyqqz3h6mHfqup5ba+f+FYCJTVyv3qv1ark/BcCj EYw05aL79DrNTtfLsBoo/Wnx3a13q2UDr/mvbnBue/LfwCtQ6t/dwPf7PkTRwCtQivc28K5br/iu gVegFF/bwNdL7a5bN/AKFDAaHW2gS16t6i9Hm0MmnO1Z4U3P7dcrmfMVCmZDPrtkFxMeiW1zLcT3 eNwHgAQyLGiExGJGJngE89jHjB7GFO3TaSBkN3iHYO192jRKNppkjygZxXQmWs7HMwwrY+X1n5c/ /vPyOTp99OL00S+njx+fPvo5dWRY7eFoqlu9/v6Lv59+iv56/t3rJ1/Z8YmO//2nz3779Us7EBbR is6rr5/98eLZq28+//OHJxZ4O8aHOnxIQ5Kg6+QE3eIhDExFxWRODuO3sxgGmOoW7Wia4AjLXiz+ eyIw0NcXmGELrkPMCN6JQURswKvzewbhQRDPBbV4vBaEBvCAc9bhsTUK12RfWpiH82hq7zye67hb GB/b+vZxZOS3N5+BelKbSz8gBs2bDEcCT0lEBJLv+BEhltHdpdSI6wEdxTzhE4HuUtTB1BqSIT00 ZtPKaI+GkJeFjSDk24jNwR3U4cw26i45NpGwKjCzkB8SZoTxKp4LHNpcDnHI9IDvYxHYSA4W8UjH 9RIBmZ4SxlFvTJLEZnMjhvFqSb8GAmJP+wFbhCYyFvTI5nMfc64ju/zID3A4s2EHNAp07EfJEUxR jG5yYYMfcHOFyGfIA462pvsOJUa6z1aD26CdOqXVBJFv5rEll1cJN+bvYMEmmCipAWk3FDuk0Zny nfbw7oQbpPLVt08tvC+qZLdjal0ze2tCvQ23Ls8+j8f04qtzF8+jmwQWxGaJei/O78XZ+d+L87b1 /O4leaXCINByM5hut9XmO9y6955QxgZiwch+orbfCdSecR8apZ06eZL8LDYL4KdcydCBgZvGWNmg mItPqAgGAZ7B1r3sSCfTJHM9TdCMJ3BkVM1W3xLP5uEBH6dHznJZHi9T8UiwWLWXvLwdjgsiRdfq q2NU7l6xnarj7pKAtH0bElpnJomqhUR92SiDpA7XEDQLCTWyd8KiaWHRkO6XqdpgAdTyrMDmCMGW quV4LpiAEZyZMCNjmac01cvsqmS+y0xvC6YxA0rwZSObAatMNyXXrcOTo0un2htk2iChTTeThIqM qmFJgOGrivogkqUwWxAbUV7ReNtcN1cpNejJUGSx0GjUG/8VjPPmGuzWtYFFulKwCJ20nFrVgykz wrOWM4GjO/wMZzB3ErmpxWwKX8BGIk4X/HmUZRYnoouTIA24Ep1UDUIqSIwYDVuOHH4+G1ikNERx K1dAEC4suSbIykUjB0k3k0wmEzISetq1Fhnp9BEUPl0F1rfK/PxgacnnkO5BMD5Bh2we38Iwxbx6 WQZwTBP4vlNOozmm8EkyF7LV/FsrTJns6t8E1RxK2zGbBTirKLqYp3Al5Tkd9ZTHQHvKxgwB1UKS FcLDqSywelCNappXjZTD1qp7tpGMnCaaq5ppqIqsmnYxNXpYloG1WJ6vyGusliGGcqlX+FS61yW3 udS6tX1CXiUg4Hn8LFX3DQqCRm3VmUFNMt6UYanZWatZO5YDPIPamxQJTfVrS7drcctrhLU7aDxX 5Qe79VkLTZPlvlJFWt1e6NcL/PAeiEcXPuTOmUhUKuHyIMawIRqoapnKBiyR+yJbGvALzWPach6U vLbrVzy/UGp4vYJbdUuFhteuFtqeVy33vHKp26k8hMIigrDspTcnffjYxBbZ/Ylq37hDCZff0y6N eFjk6m6kqIirO5RyxbhDSe9D0FBekTiIgug8qFX6zWqzUys0q+1+we12GoWmX+sUujW/3u13fa/R 7D900LECu+2q79Z6jUKt7PsFt1aS9BvNQt2tVNpuvd3oue2H2TYGRp7KRxYLCK/itfsvAAAA//8D AFBLAwQUAAYACAAAACEADdGQn7YAAAAbAQAAJwAAAHRoZW1lL3RoZW1lL19yZWxzL3RoZW1lTWFu YWdlci54bWwucmVsc4SPTQrCMBSE94J3CG9v07oQkSbdiNCt1AOE5DUNNj8kUeztDa4sCC6HYb6Z abuXnckTYzLeMWiqGgg66ZVxmsFtuOyOQFIWTonZO2SwYIKObzftFWeRSyhNJiRSKC4xmHIOJ0qT nNCKVPmArjijj1bkIqOmQci70Ej3dX2g8ZsBfMUkvWIQe9UAGZZQmv+z/TgaiWcvHxZd/lFBc9mF BSiixszgI5uqTATKW7q6xN8AAAD//wMAUEsBAi0AFAAGAAgAAAAhAOneD7//AAAAHAIAABMAAAAA AAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEApdan58AAAAA2 AQAACwAAAAAAAAAAAAAAAAAwAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEAa3mWFoMAAACK AAAAHAAAAAAAAAAAAAAAAAAZAgAAdGhlbWUvdGhlbWUvdGhlbWVNYW5hZ2VyLnhtbFBLAQItABQA BgAIAAAAIQACThl/wwYAAFEaAAAWAAAAAAAAAAAAAAAAANYCAAB0aGVtZS90aGVtZS90aGVtZTEu eG1sUEsBAi0AFAAGAAgAAAAhAA3RkJ+2AAAAGwEAACcAAAAAAAAAAAAAAAAAzQkAAHRoZW1lL3Ro ZW1lL19yZWxzL3RoZW1lTWFuYWdlci54bWwucmVsc1BLBQYAAAAABQAFAF0BAADICgAAAAA= ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/colorschememapping.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image001.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAHgAAAAqCAYAAAEPJa+4AAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAFxEAABcRAcom8z8AABbISURBVGhD7ZsFlBXH0oA3CSS4S4AQXIIHWByC BXd4uDtBggRJcJfFLbi7w7LALvaQuLufuAtxT/qfr+bWbN/ZWYGf985LTuqcunemu9q7y7om4vXX Xzdp06W9Jozg5+T5U0Zhzea15mDModCbMfuO7Zf/p556ypz6d6zJnz+/eeONN0xERIRbeOXKleau u+6SBKBSlcomJiZGno+fiTE5cuQwmTNn9vIVpHCmTJnMli1bzKlTp8zjjz8uraVKlUqIeea/VKlS 8rw/+oCZPHmyORJ7jPQIE3fpjBDceOON5tCJw/Lcrl0707FjR3m+8847zf333y/PPkyQkHLUmbsW jNAxATfffLOMq1atWl7tZcuXMz/99JM5f/68jFdByp389ymZ+j179gjxjPkzJVMrXLFihSldurTp 0aOHad2+tXnttdck74SzvBH2mgJH46LN5t1bzAMPPCCTt/foPjNgwADTq18vb+bB0HOEqVGrhunf v7+XATZo0MB7rlmzpvfcp08f79lB7+HqkVmjCyAT0qVnV5MuXTpTo3ZNE33muJcHRp8+7hWs36iB DEnzxj4w1stjHjX9yKmjXnrlqpFeGa9hMoKAdOa0Wctm8r5+/XqP9vPPP3d26VFZCNLmzp0r6QDv g4cP8Z7t/5izJ9yGY86dMG+99ZYpWLCgZPihd//ezihizTvvvCPvdkV2p/nX59UbHzTHz8aYs2fP mkuXLiUsky59OpmaAgULmO+//14ybYCQCqC5nujU6/YS7De4vzlw/KA55mxP1nvDtg1enuLChQsT pIEjR470zsYNN9zgpcMfvvrqKxkE7EvTI9hIejT/W1i5cqSJ4MAx5+BRh53lvjW3yZI1q1m5fpWX rjh01DCvxzBgTaecpteuWztst0+YEs/12Eukbdm9Nb7hDBkzCONWuHLlihBrJYWKFJL01q1by//h w4edtYqVpYHFAEw1QDnK1KpTS95/+OEH+X/22Wdlfb2G125Zay5evCiZfmAGqGT8+PHyTqVFihSR Z9ava89uZtCgQZKuAKM8djraNG3a1HzxxRfmjz/+MF27dpU86LyGtRD/YPbs2U3ZsmW9NDba7t27 5R3p07NnT3kmr/Zdtb3nkiVLyj+AzJw6daq3seLi4uSf/AQNlyhRQv71HeCZEWsaMlIBxkwDzz// vPn44489GhUZ+s5/ixYt5Dlq+cL4hrPnyC6JnOOPPvpInvft2yf/2jBrzfPgwYNN0aJFhSuRDu48 uEvyJk2aJP+HTx4JK9O7d2+ZwX916Sjp0vDpy2eEJULgB6buaNyxsIN/TejMiv3OhnTac9f1xLmT 8l++fHlTv359eabHiC6ladu2rfds40033eQ9582bNyxPxVzVqlXD0h2Mf4m9ECfTBOOHTbJr7XzW cdmyZTIbdnratGnNe++9J+nwezuPtY2MjDSrV68OS3cw7OW/h6lvTi1njk2WGMKZ0PygY0aCaBLD E+dPmjMPnTWnL5+VGT10MpjORpbdLXPGxF50VyGIzkZErZaJu3g6sMzuw44sgWfzoicDhKXWrBOv 7rBs7KvatWuHzRZ8xWbLimzijJkyimrMtrABBZayeuIU6fCteW41GTJk8LaLQq9evaTMAV97KEgF ChUQnvbmm2+GqF0YOnSolNlxYKdXRk6xPWBOc9HiRYUQDpscFC9eXGhZfe2EshIbGIAtfoBKlSoJ l6dM6FSLavz111+bKVOmyHvu3LnD6oLzN2/dQsocc7iLnVehQgV5V0QbBmDuNR3tcV+0b8AMNlfu XHIgbTh58qT55ptvQm/GPP300+by5cuhN2POnTsnDUQ7g6bjRYoWESVLAftGO0GnbCCNLV+hYgVz 9OhRSYO3Kj3IoG0gDVncsHFDs2rVKkl76aWXJP3PP/+Ud0xC3hV4RnkIG7Com04GxABCoFixYvKs YFdiA+loocw82obKaoUgi2/nzp2mYOGCMkmzomabnDlzhnLc+rAiAQbx3XffmerVq0t6jpw5ZHGW r1lh0qVNJzS///675E2fPl00ZZ4LFXKVlueee86kSZNGjlDYgBEYEG7YsEEIH330UXnXM0cHb7nl FjkvjRs3ljQFnqfOnioD5rxs3LFR0tgNwPLly01UVJQ8A+Q1bdFUeABlwO37dkj6xUvBShAyCL7C BGkZylPm+PHjIapwyJgxo2M1lvWObIIzvHLdSqngmWeeCRVJHqDPkiWLV4eNcNsVTp0dOnUwrdq1 NtPmTJeJ3Xc0nM5GdtqDm9aYDp3/ZVq2bWmmzJoq9QTRKsJD1m5Z5/CErk6ZVmbyzClyVPx0MmA6 rLj70B4hRLvnfdOmTaFhhQNbjG0CzSpH8Yar2/X8j2PCxBhm1OFqrFprZ2UQFaSnSp3KlC5b2ixa sVg0E2beFl9+5FigIi9atMi8//77plGjRmb48OGBtKAyTJ5hlpzf1KlTx7uJApD86Oho4TeVK1c2 S5Ys8epIBAMTPcxfIL/p0qOLGTdxnBl4zyBTpVqVQLogBGAiM2bM8N79NDayszBCu3XrJtwfLRnx 8vPPPwfSgwwYgDl17tzZTJw4UfgM4i2IPoJZ4Rz/3ZHJFHG15/Be2bqJIewcFw+MASU7iCYxxM1z +tIZUfdQ+6gniM5GysRdOu2Vod0gOhvpY1gZ57j5aWgbNToCzuXnZiCMKGpZlKlYuaLJlDmTwTGT 77Z84huxNasgRDTRiWLFi4VtJ+pYsmppmGixy+BvKVWmVFgZRCH9QPYGlaEv5e8sH1aGLT1z3sww 9ZVBs9IJBkwlW/du8wpjMmG3tWnTxuTLl89Lb9WulcyaXVbLz1k0V2jmz58v50vhkUcekXRcI3TA LoMrjDyUBxvwWJAO72D17TIbtrvyfty4cSFqF15++WVJL3FHCZlE6AMHTCXY6BBnzZrV/PLLL6Eq wmHWrFlCg0fEv9qqF3/77bchapdR2V4VlIiBQwd6ZdRP9MEHH4QojKivhw4dMj/++KO8w8E7d+/s lVFRCFNUeOWVV8L6jPbWpHkToQ8c8EEnkUqqVKkSKpI44MiEtmr1qp7GRKXZsmczW7duDVG50K9f v9BTPFD25AXXP5X/9vzi/sNo1jwQq17FDEAaOjHtsfVHjRol6Rg6WgYsXLiwpAO8MzkJBgxD4ryw hVMKOGSocO8R1/xCqefdBu2EPx3ZjtKiKi1bl10VRKuQL28+5zwvFPNTaZDV6OoVK1aUd4A8de5h sEyaMSnhgPcc2SuE9hbhjsi2jABudtRHBlAGxqYr7O8s74o2NGzYUGS7OvkBtXJs/PLLLyUPYKcM uGegKEZaBsAdp/4+ALdanTp15Hn06NGmY9eOCQfcb3C/sErQkHgvU6aM/Ou2oSL+dftxqcI7Z9nu vILaqWxPNd8A/D7T5swI6/yJE+65RJm444475GqMd87vww8/bJo1a2ZGjh3p7QqFF154QTQ5BfI6 dOggz927dzf9hwxIOOBqNavLlgY4+HaFAI3TCT+g1kHLNlNG8uuvv4Zyjfn0008lDaPeBtIOnjgk Xgue0YwA9UHaXo/NmzdLGrjr0G5xLXL03n33XclHeeKdHaLllWnCGzbt2hw8YNVl8S1TyAa2Tbly 5UJv8cBtJ7QMmHqYTVw7CjhgyefyUmHOnDniAlI5OXr8aNGEFJo3by5lQMQhcODAAVEc4OiUmTZ3 unB7hRo1XDcniwY/AI4cOSIDVoUnbMB9BrjXdAoIb7bW3XffLenKldU+Vu45bJh7JYF2Qz04+nLm yun51PE6ox8rL2Cw0LMboAcZBEpNYldca9askTIqU0GcgRgyHL0gwH6nDAMVev+A2SoQqEscwGLZ v9+95AaQibhsbHnJVqJh25jHpmXHUB9nHuOhU6dO8s71ClYWMl/pQbZ2vYb1hIbVogw3FryrZ9Vf hq3donULoWFbc2w4s7zTLxQVLZNgwMxyamdV4XApBWUyeAbtjoBMAHWOmXCfON76Duxrtu/fIeLP T6tIGbYfV7CU4YZ5y56tYSsbhDBMXEst2rQwPfr0NJt2bpYJsmm8ASP44XrMFhkMAFUyOdAtjgtF 6whEvXfQ/5TgtZRRTKQMhgW6vNNnlzngHIOJzF7onjG/t9AG7qGhQXXj7C5YGiXvfxGMf+nRt6ds q8274l2rcD3kH7EHiCVNb9aquWw/9Xb6ES9jly5dxPupXBdNinc/rSL3MvyrrEcqJOUhUZw5c6ZJ nz69PDdp0iRBvg/DE7r16i7bG9/WDMfEKl6yhLB/2HvWbFlFgWegcjai3SMQhHgs+Qf4R3HQ58QQ 5WH79u0So4No4zlXrlzCOIPoQRWhMFj+YaxMtE3jw4SJmbNklnsYDj7nE+YD4+DgY5eiwLdq2ypB ORsRQ3BaFAjekYl2tEoQcom9dOlSkaOsNpfepFerVi0BrSLik4n57bffxJfdt2/f5CY2MNHDuvXr mqH3DhXO2aFzB5MrdP2RHKKHY65p46iiuHP9dDYqrf2PmPTfadnIyhKp9Nlnnwk9ugN2t3pVAzAw 8e+LhKB179NdtjAyD7n8l8W/ev+vBzpzgJ+yW+/uEl4YkSZdGslQlTOlqEoRMh1+xgZBweHGA6Qh 6BDT0IjO7zB1fz1Xi2iKouc4+gX8c+GKReYeh8VwX9CkhXubyi3sxOmTpD9osX6lK6XIGBFWqCdL Vi81I8aMMG3at5FrseaOVO7UrZMoeOu3rRfp7Amvq0Rpx+knwpGbqVHjRpk2Hdx2CM9r37G9sFBu oFAqmVPKBNUFspasaZq0DhtDu0zJAjOxEvrhNDBpxmSJ5AxkCYkgvJOgxgVLF8iC057fFEgKoWVR 8W2WcZRZrTdbtmyi1hAIu3jxYrNgwQJxSXDdrjRoET369JAFYLGSapc87Dg2R6R1x5IhfQa5KBo7 dqxcHNHOkCFDEsTMtOvYTtqwzZYgJA9zCSukVt14GYSaRzzOfffdJ+MBR4wYIaqYHfTXqFljqSfI pNIFFsshuQWmMAuyaOViCcDQBkD0Pi59udTh8scPGMJPPvmkBIoVKFAgrGzJUiXFqcxkJjcRbKpV G1Z7N3poL/6ADhxfSxwDHfPND2vXrhXthLL1764vp23/8fATQDtwoo07NnuKBlFbjC2lgNdQ9dsq 1asK1wq6PTh86ojY4gULufFOOAEeeuihUC3JQ2xsrBgxlC1esrjZf+yAOAe0/hQtMANmh3FiUDOp DMQhh1f/WgF9Gp+x1oc/etfB3WE3CjaeuhBrevd3PTHo1B9++GGopnDARat1osIGAZuRfBwQGEfq XgLhDsNHu0YKixQ0RvxquLm0HUUNy1TAJ086XIuNqWY3yIZ+YNpEycfvoPaFAhv13nvvlUXHgQEN xhaeV3yDNuA91j7MXTRP1os2UrTATCwyRivgBPrDrf4/8Oqrrwp71fpHjh0lk2z3Ae8tbmvyiY7C NvADLnRYMuwSKxJ2hhXLqQ0CdXMVcE4PDlPkORxi5nz35ogJZWK1X2xGbBF9v/322yWgFwcrTtEn nnjCfPLJJ6Ha4+HMGff7Ci5hOK2cZBZ66YPLhNWyiWwvGaAxuiAhNLjZaQtXvKYjeuybJKJcqQ/W vnHHJtm0yS4wi4ss0UqZwP8UqD8URInRRUaJQL5UinRlqX2nYIPtrbaRONXEAPc/NITXsLhsJGKR SeNDDwWiW+w6QewvDFX6DRLhmxhonJNcGzjjQtQRokMaRrMCG5cbMm0DLqF2n8Lp06e9fFyUNqjL Euc4H6QkucAc8zkLXWcVqDHONmDk+q14draGxAG4OuzPa0DuWQjWsoFoMg3uTp8hvbBO+sLJ4r9I MdcXZIf12aAff/jRH01nAxda0IyfNF60V5QvwgBJ01BAAA8lyo5dbxAyrgkTJiTQC/TkcRHGDSNt ETpImj8GE4ATJBalz3UK3IWy+K9t0M3B5RlemSQXmF3WqGkjKQDyQYoNGgMJG8OlArBIBG/Cyt5+ +20zZswYoYF17NixQ2j4BICvbqDh0ssGBqvtDR05THah25dYcRKSjvaaGCCbNKwRRKlLDPgCCGWN /nNNi2XAmLv3ck8BfVSgz8SXEkJJHhOsShf3Zpw8PDHz5s0L0ytATjf+OJ652oUb0Q4mHWlo5DYQ BKhl/XkAEU2av27dulCqC3Ar0rFujjsKZKILDFvExqpaw/WVMWm2nGByCFskz753tgH5QDwnNJyU lABaIfRgd8dAZyJYYOQWQYG4ysnjtAYBk2wvsH1f5wc1n7CV2UC0o9wCuUwe3l4bWGRxGoTqpy3u KFhEFt9PT2iZ3jJjl+vXP8wv3KJcBdfEJJTbBlxw3GNqO2j+qv2DtOvXtpU9Ey6j13TJnmBlIyCN 2qDfWWBb2toqMoWvivBPDhw40KOxWR40rVq1kkBEG1CItL0hI+7xTrBMfowz+Y7igFlFPgvkl09s Qi0PwkH8ALfRfE6RTrqiTn5kVdf2RXOFG/mBxSPGD0WOBUIs2bESjBftmTrw7PvbAZHHDRu7ugen XC91bUDEMb/4Ygm49AMLrb5fwnV1s4JJLjBKx4y5bkAkqPECNjAIZVuKaMS2fKVjyEGbhg75A7YA PR0oMOu3bQgzX0BMNmzXletWmTx58wgtO52PWDWK3Q/Y5QRP6zfKIF4hNFm0Z7t+ux3Gv2HHRvkc kjKIGTTzF198MVRzOMCm0Zjtm/s69erIGEDqDGoHmxvtukw5N44ERPxpYLkfEBeYVPqVM0hADR5E 7G27nSQXGGTXtWzjansgisZ/CthA2s6gYYM89hyEDILBoAhOmHx/gjBDP7LpcC2u27pednhS7j0b aQdnBJuKoPSKkRXNTanivwTzIyEbjZs1ETcjcwfLD1pYP0LDvHOisWP5Ik0VqSBM55hWcNfFq5bI eBBhQe0ku8AgHW3bIf6zNwJ3NLjmegAaqv3J3MChg8Q8s/uQHLJgLDiyh7JMFP1mk3AS/WO6VqQd HDFeO079LsaKznK92gGlHWdj6TjsdvycLTEMW2DkRbuO7UXp4LYXVXt21GyRR5wUPh9WFyGIeWTL nKuFxx57LIy9E5KKaQTLgn1iM9IH+vIPXhuylqxpSBdwJ9qPxAyxW/HZspuII+ZTNZtGvxP1238K yCdMIuKL/TK7cNEicuvEbmVnckr4BNym+QevCwYmesg32HyOilzR26SxE8dJrEcQfWKIshJZNdKR NXM9b4sr52IkaDuoTGKomj3hE7gLietAmULpAtRTdfDgQXn3K3spQUIfiQ+hfnXso2jpF3pYCgAa PaEZmFI4IOw6UorY7SiFuB0xM1EctU2CeYErV66EcdKrwMDEBMhV38adm+R7ZQLlOXEsNjKCE0je sjXL5aRzR4sTYdvebSIjkSEY+iLLnHfqWLAsyhQpFn6qU4p4ewjRxokSFxcni8DNFnl8YQuw6PiJ 2Vj+8ilBtHQ8SxcuXJD66tatK859Ng0uSMC2jbWM/Z5S5BYMgBNyPaiePepjYVFy+fqBcfvLpgAD E5NE5CafPvIBHouGC06VHBQRkIWHtaMc7Dq0Rz6iadyssbgjg+q8GsSUIAhK3/G2cYL0nfhcxEMS cTvJIpPLCeaeGUe+xuFzWXHbbbfJ87Jly4QWWQc3IZrMX09yiKLJwmqorQZaT5s2TTxW9AGdR21h PHr+OpLBwMT/acQ/jm3KNR1Yr54bY6wIq+QSgIWx068G8SD179/fY/cgzo2WLePNxwYNG4ibEk+W RsxdC9IWrl4CCagLt2eePHnMyJEjw27c8B7id86UKVNY+STRNlX+wb8X5s2b1/wfwqTu9MTyProA AAAASUVORK5CYIJ= ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image002.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAK4AAAAaCAIAAAChNfDaAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAABMtJREFUaEPtWjt64jAQtvcskGK/nMCcgE2TKi2dKUmTLuV2aaAkXdpUaQIn gBPwpcC+CzujGUmjl+EjWchDanZtyZqZf37NQ6Tc7XZFHhmBoviVQcgIEAKZCpkJjECmQqbCQVRo Z4PyM4zsrhMg0BkV2tfnYtpAYXnucQIgsohOKjRvxc1V77uC1Lbf1bLj7OqiwvJlE2FCOxsPBrMv DKPOev3Ria0AwYPxbLkHuuW4PBO86di/qKt64U4306qqPkXKeFfKAjPw4PjWvWvPAz/ehyCqZhBu msW0rpSuOKo6Cr1Z5HimgS/T38Vmi6QJIRNQzXPAdyDKhy9b1ApZCSy9Ool1KColSEJMhIXjiNXa gtjrfwhOIo6oRWbwp2hgExqbmE1SAda7+jp8PRz2/7QSDDzabwIK1u60YSKNpMMSpZTha4S+Sa3d tfRk4UrNpqhwCBOAcIqqijP6wT1s6rWNcFObcJwJzX30jIp3Nia6dCc5wHaIcFOMn4l8JTcB9aa1 UMtDkJEypZZiWGiNBDRquAgyXdKViTILiLMCMqLpFwxFd7oJIk1fz/e8UO+cnE1QAVOam5iCsLao MXUxxVhLL8xq/qE7SSF9kuXBRDu1MEft8PQSbIg0EqwKAiPDaqxVodU7FPxCxhT/xDmmEQwCeGdW hWY1aTbslq5UjOeIGBNYLhKhcrKARqoOa4K4s7WCydkEFejoedknwtjoCeN1AuAGDrGTnlkfToRG juuTFO9VQIEBXPRjhsZZsM6vAsJIG5CFCCdry0CVPcHZEMOXzmSOhIXOBKwZYV2gEWQI5Bk6kgrx ZjLeRobtKtxBrRH166GaW7484j+XF3gXwQ/r235ZjkbPG/TbasK3FMO5Si7rxz/9cjBe8s70SaU7 2OYNN/dGuxyPtnerp5vi8np+tX0Y+x0hbzK9kzpVv/u8T7vdWB3VO36jjdDrHNNIFbGLa7jVcY/0 0B79BqGs7zU+/rre5Ekxc/386vailxdDBWnv6iY6bzeyyseUgFlFhXY5g35X2rMhd+4bhJDHBHrU AKvqYAVjPiGleQznK87I68e/5E7PS8wlz0U9+BAAI8m9yXzuoRfdxLCr8MiLUqNedd96HC1YfIju HulpPJcPt2vPUrhgKEtzTPxP+79NQZWY2myJNXyitEf5w8gshG5KNzb2BCVjKr15pZQS7KVMboWx 8DHVB2VKzD9ep8PRlHqgI3t/EblhD06koJSqM2XYp5QvawlVg3Bha02zvb3dJUwyYSsSk64zYaTw CgtGKYSBkl2TW1ZxBc/qy09TCZH8LWa5VsA3onSL9GmRVKaV0S1CmPltJ4BzXHyI6w2gjl8W24uR xI2KrGCi/2dUuCuxXQ6Jd2dFUeC15yY7K9K6u8SLC1KmW3q8VEiUCd4Fkw+v6HPwDLo1tGmB1Eys DdOxxMzqstEWwWHzkCh10t3MXm/97AW+5zsLxtNBZTsIHRiC5sGp70W8SEbJ02n/JSX52QGZcPR1 2QciIJpJCgzQsad/ZJD85SgZCT8fqN632yqMAPE7hjMY7twrxJtgVytKYF//J6kzYI2pN34VcgZl QpElvLLNCPyM2n+7382pJc/jRyHgUuFHmZ6NdRHIf+aaGcEIZCpkKjAC/wCMAffHFuCQ1AAAAABJ RU5ErkJggk== ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image003.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAALsAAAAsCAIAAACykV7GAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAABoxJREFUeF7tXDt66joQNmctQMHHCswKgCZV2tuZEprTpUxHAyV0aVOdJrCC sAI+ith74c7Isi1br/ETm9hVAvJoNPNrHtIMg/v97vRPLwGyBP6QR/YDewmgBJ4WMcF5NRvgM1vt g17X1UngSRET7P97n3yAx/VP0+Nme65OYL+eUqcRc16FVkQ2IsP19/d6CNodjiau9zL/9XquTgCd Rsz84O9cx31dIjaUT7Df3t4OhQET7EPPFj+z1bmMiwvOe+4rAeezfXHTFzGWbBb5k+pAkqYElrvD DyLGO2kW4O+8ne476ppxgmgG/4T/uDuf+nJ6HCPleqfw9fC/orT4+ykKbPcUJ0hdlEMd2MpxBiEB XDiUTtEf0hJOnh5ufDAMEcYYlWKmhoTSs6VJZ5mz8Ybfe0AzwQgw1wBg7p32So5/u3CfBKmRGNJA 5Ls5HhfMmyyOkn3GRAqCn9HEm4zAU4CD0Pia87+j405GnEDw9XlxpuOsDyRQC/bvR8CL5B+vP9LE BGrADjDmvfx98ZzL51dIAphzDP65Oh/VSttBZErYpbjBIoNPehtcjOe5YMddcF06PyPaFP/kgR/R GCULNdG3RdypPuPf2XmL7AlKgBsWm1EiSYUwqMs2Jvi5ogFg4eR2/PF9mGsjYNUOu12vIO7pdDIe ad5jNuWyGTFTNVpcpxAl6MJoEzVGJ5OxqT5LuLTwFtuTOVoZdnrAjE7hED+PBSKgqqVD2Cbljzb6 VfOO9gK0DxTgRYx41AGjOdKISVupCZbAbmGs1MKoN1oxN1UNBTF4p9RSOBDYivRgMO8WKhZDrlC0 iaCemhQwExIlE2+p78Llg4OtP01iq+8uYhJ9RpDBbLpg5qtCApsgp/HSIIonSow5nqOXIAzURHhw W1uCIGF7JkM6i5hUUMr8U77I1yKlxOVVowkeN6MTzRmiZxiNGBMxQ/SeuYChHTxAO9M/DUkADmZH m+lJGz43xEapabqcK5Va+ENeHi5fXef4D28agv2+1IXDQ/jHSXvENCr64frNc4+L0WC2dZb5DgMa 5dMwWe+V2qKJrvDR25iuaKotfAJigvAGfgUHh1HhmuaeRbr8TxUC9KVubVFqrXwM4HrFWR6c7eB9 snt1xsv13IGA/vPVDyuS+qeXQEYCLO9OHZtWld33on5OCUSAiU+EDEVK4k2OJI2mTqmrOYfqqRSV AMuVoLZk4fBzJTxkur11+ozpObd2W1aFuRKWDcU35VikBCVEEA73kWxblNQqPjBXCstMYrZcqAiB epNDvZGvpZ8IEzhtZVwDEgRTC41OjZ3Kdqm7qqg7K/deXM4BN3RSXRt+2YaoqGI+2AW2shrcKI1y gq7+7YffXYdVTcKjirzlC1vVFW4Z6UClhKqygZY3UsuZpDoZiWNJGuQ1SVlJ+at8LB6NitZgC3Mt PRgxScU/F41OqFwggumxi58o7bgQQVXXQJolD2JMxROSNIgrCIeJRyQlG2UiaqpemUfeEkCs8jU+ pApnsfpV2bEGATk2W8SV86GBL187Dzxsf14+7txlSBES3janJy0eRLHFCQFjmpJCGukBkNHiubz2 ARHFCcxwjrfk2sdGCrLn0ebineLSabxBdS43Hyg2gBh+C5Hpd0VVQXQNtcznVSIIXLXc3lFjs8Vw fQAmDKfbw/GUi6o4VPib2l4ZdlOjkAZ/j9yPUkmjDExq7pXJZfjyDw5rK1l7h1w1F+kgttQGn8T8 UX3NFvqAheCXaF5J3yuTjkGUztHaK5OSbolGmewNgBAthNXo9cYxiZD8MFqwlEBqtJNoJO4sNJdh a82BNgXLi5j8x998bSyczNVZxWIUkB4+0PWgbq7K8ANNWNoeLBKpjKKEGKlWxAjBgbGRLDZdasSI 2RNnnbarc5jEvIhJkaZwI6o0Z+kwoR+FWV8CWSqpzM4Sg+o6EUOw51mdKhfeRLOFXuIEXVAQU2+v TGWNMpnoIUnCYgzViRgOfP5bBmAM7ZtABbJGmi20uKDAnoCYentlKmyUAYyYe2VqRQy2G8ZHQLRe oqyCImNeW7MFsijkoeg9xQiAAhiM6S1n1HLUnz+W0fnYxN/ZdyTRT5t6ZepFDJHB1DCCFyhCttg7 NGbsiCk2+4PfEqOXhJX2ISadhj9SaCT78kgG6547SjNQJXGO1kbEsGwSnUWVPbE5pYtmw/AzITmp dXZ4eLAD7aaJKvruk9JHub+MQAO3BL9Mos++3B4xz67hqtf3P1WudgMQyFFzAAAAAElFTkSuQmCC ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image004.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAUIAAAAtCAIAAABUGvXwAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAACflJREFUeF7tXbt64joQds6zAAUfTwBPQNJsRZsOStKkS5mOhpTQ0VJts/AE 4Qn4UgTeJWdkyRfZY2l0M3hXrnZjXWb+uVjWyD8PPz8/SbwiAhGBLiPwX5eFj7JHBCICDIEYxtEP IgKdRyCGsZkJr8fF5IFdk8XH1axrbB0RCIVADGMTZK8fz+/DHWwnXA6j7cvqaNK33vb6sZhM3JPB 9WMCOeXoJal4EskNF6S3Tx29C3cPA4JPdu+6rOfj8foSQPDDfH5gw17W4/F8fWicAu7zhpYXG99R g0zUTFzH4VKVXcewRKOxm28dxUTh/KcZAJ1HOUGXOPW+RecGb2OW0QXW5XKA8IfkWWp4mFeSaXGv 2a9hMt1cSmhg5LIMaVsmmxAFFMHyh0JU6M/uOgiFicTlIgBL9YMb6yj0qWSrzCkY+JDHsOTMwKmA y2DJPQcyfs1gGG7BMmXXwlgZAEovZlGCPGDV3o/dBfugtqb6MnvsJdXHnnAU5gzpP7HHoiZQsWGp MuF986hzSA8lCW6sYxbEUjxyxUXWTAWs50L+5/LfuSZZ6AJMldtZRkZwc8y2DQbtVhgj3sYejMwM aniQdCoAMYyN4jlcXu/J4MKQKr/HQoZJUURu1S1ooqLpoehqKhINWGqeEMuFkDryKZQZR5fpMDdh C7j1Wl7qVJ2mPK4ON50MBogWTTu1xXX9sz+NZ0+98jK4t9xsllPpT7UtB9iZejnND5up+WZE72k2 Pu3/iP0jNtB2+5huVT9u6/PANjZsWfWH82H/eoSdJ3T/6vJ1SkYDSeLr9zkpKTb9BV5z/jbdtOoN Rsnp6yKJxXbWrURKKMCa4BlOR5CCpibmP7kKVxjjeT86XCQ3OS7ek7fP5UDWlBlo+55Z93pcgXu9 LblJdbjJHmWCoKJtp8IYCQAKDMx6yXz4LUpFrFhU2mMejsEivIiEVZGk2OgtP0vJspYWetPNbvBn sdqfX56ffydvO2FZObBYyA770t+YYoRLIyrkj3E1+q1FIohj1iScjix2KMgnTf5zXIDt+31IzKNh v5RfYX8cghjL/tPN5TDb97nX9N+TSvArkcGyrRmU9dZdCuM0n1cCgKJ/6kDnZPCaxuDlsE62j3kg T1lkfoo7UEXql0OcjY7EhnLSr/MZFsij0XBQ9giKnLo2WlGbBgglErg5d2TssiulWesIuuvUbPSf 6UZsMjL753LD0ms/20lBDApz92CVx/1MbGtdZufHopvOiuYepR/xnznFBUtWsfLuTZdvsCT6XS/6 9qavsHWB3SEAmRoXlmXfr5+7WTL6tXn6XhmdEKkuh9UZnSqqk0g6teXFSeWl7hNZioTR0RX5TE14 pMNLb/YKxVbKpxfxwGVvUPAy1X/hqyZ2b5StomEZvVuPT87HCHRoq+536Wlsqyd7npYdyPaprp0f /IA5L18+pu9IyDs7tqaqvAxXXiO182YNkEWjtUjkSakNw+nIwKYgT5WUtxOPaJ6cij0t9nRm9rmz y2pj7EadVLvKtXuluo1UwknLA9mOqbRtWCscVCzoSWt0q1JsTqcFp6qAXFq9qPZ7oKqe/iokt9VR CsbclDKqTaW+ah1EOFRWp0IrC824+UM0V6NTBSfU29ITOUVuZIev0ncWufx6gCNKolG5eAwvynAY IOvNiv/VMr59bDRGfUORNj9PUD5MUGihFdVFUryUjQPrkM2KMxM30LGSCYUaAGuhJnaMgz+K+VWq ZpWPf8jHEZocMsPNxU5N2HcqjFWVUQfnUnUNgbnziStUYMcc79g9EPyVYV2FDGNNM92DyNCtMA4T AAozuPqN4RPZzCFKrX34ho8xrBUgdPQiXzCDEhQI846Wjtq1MMZXRlQMzdp58ZvmKflyzv0DDxBT +RWHgdK+RDKYktbUp47IUViaEO6tgnlU98KYvfZ6CgCFXTz6jbv14wh+EWjBf+oCB/WoB/ZEjldE ICLQZQSgbsw+FYdjOOx4SsZt0XACJ8CpnS5jF2WPCNwJAg+wPk2eNsnq4X24niWDp+U0+Zj04aAZ dgrnToSOYkQEIgISAukiXvpAy9dmXgQ6IhARaAeB9N0YFsvF85f95+vtB/uug90Sp0rr0sGea3yA t2O0OEtEQEYgDWP4UOsxOfDIVURxxC4iEBG4SwTYpxHH39tk/kt8Uw/H69nHgLDv5c7ZeJcaR6Ei An8dAmynuvIZL3xz1Z+sBujnOe3qb0wKfa/8rEawdYXM1dg6ChQ8Ga4r0Bn5A6mx38K6z9FYvTw9 45R+8qNldWPNPZyJ8qmB/Vh3q0zOQGZoHc1JG0fDheDBvQUJrsZhmtmXg5/i0nOaCtkVRKrgMroo ZnvtlTYtEpfax2taJkCpeUm5KyWXJp3npPDUGhIA54bTWkcdxPfG9ctZyhFYKRgauII+NIpvq8Qj uYl9OXAYi0qWkre1RNGMBiuBFLp+VpX/pUXiUgPzFU2VDLKkA7iUMKbx1FoRAKdJSJdiNUF8Z1y/ vPxa1YmGoYkTUEJDncpLd8OGMYW3VU0ISiKF1jq8VBcXWPsmLjUxoSjWa6h5tWrxir/6aazjW+Vi YwDxO0pPolhHRTqLaUjxGS23vho6JQ8u0pWGoZkD+FCzEDUoiQ+J01RBCAobH2yrDfbQj4sq0135 xV/JmNkWcSlpJ6LcSMeEmnihUNTOkhYZbQiAddYhkM62yvXLFNXT/dqSKBuanxQaujELrtygYUzk NG2QVkMKXfRq5NZql7hUB7r5fVNSTvMZ0h5WBMB66+hJZzHDEX3GgusXNNWL1EiCa4ltUzc/auaJ PmgYu6muIYUmDN4qcWlr341IE8Gpupy+MWXatqj2WxEAE62jI50lWBFrEowH15ZuMYz1tWpmiT54 GBtxmloaVdOtHeJSY7ZXW2WliarvxrbnYQMQANtz6xr5jAktsb1IOmPZWN+jmkHD2BOnqRZC5EdP mvt0iLjU8lcydHhV7wciANaTzrbL9csX1XoGYlP4rNr7Dg2z/TXT1npO03xEWp0UFQDdXCz9amG6 D4tu6FYmFQ0tiUtNwcm3zBsOt3jZqc6ECkYAbKl1vkFes4veZyRgUFpiCnS44Co3dHDR+mQ+1Mx3 7MMWnMThBp6vcE5TfvwBY6g18A8sjlsnLjWQN6vyKBUnuaK24NQIr5zbrAmAjbWWOuA63pIHF5XI g4siODmrWTDFBg9jNzOTe3tNlORZQzakaaQP45AyehibpqbZRE5jkrKnmTyhWhei/i1h3CZjZiir lMbtkC85o+FZV/fhnLKAMxz0AVo7xUUXyUvLmzAeepG8PAh7wKa/vP7vXL4M5ws691QQ3HayiJEZ 02qjMXb62xGAn5lfve+HO9sKXkh8oEj9/DV7e12KHwlNkhjGIfGOY0cEWkEgaN24FQ3iJBGBfx6B /wGr0YvMdvtOSgAAAABJRU5ErkJggk== ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image005.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAHoAAAAnCAIAAABPK8uaAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAABLhJREFUaEPtWj164jAQFXuWmIKPE5gTsGlSpU1nl0mzXUq6NFBCty1VmrVP EE6QL0Xsu7CjX2tkSZaJbUyCGz4jaWb0JD2NpTc5Ho/k+gyFwK+hHF39UASucA86D3423Hma5g64 PUWnDRAz2DfcZb5JFxP+LNJNqYVa5ulCFS029X6XsoaOCf1P2AODuW5Q2XY7zVPZlv3+3lXxeIpE JUc8rg5aDcJW2dtTrGMSr7OCOaAvhCQZ9+Yp4hWyBNomsrEMMUsIWBQG9ZeqD17LtIkMwei2p8gZ T2tfpDes64bt8Kih0GBgQ1OHhfeOg12NWfVu6wt2eiLcjnhMf82++iYTnTw+3wmZT28M6qNL9GE/ z4rtUi7azcPTIcnUu5Mrb6ZzcvgofFxa2p22ot8yMJ4QX4PNbsvEon+xB1gDz1mSrNfAJrJUMBAw DOMjUbeghOPiBklJuEJGl00sDCOvR2cRn9rWeBB4ZgdtBgciEwg51mkAxQmwUcgl4uJNUj6LWhFL oUYhBrTsnKNxjdvpkXu1Ejku8sbT0tcQcFOs1ZS0ryad9WoU7yRc3+4W4NTDyHpRczzhvvrnbmDm j+e/2yXl7HIDuVsTb0azGDEypcR4FtWalZvVLl7/kYyPyls79QTVFE8rX/1yNx33ipa1N5RksLlU 1UOvbGHXeKjgxGjPUgKdIjLB8WCe8cXT0levZMJTbfQohACwRO5ZeKtkWS4MU7WNyr1RZX+w25kp ucLL45QOkrILNrSs3lPkiae1rwkYa1rdF1EO33CrWfH2aOaZ4wq+f+4epL95+jp+rAGJbzO7BxnV Lzv5JrP7yzgMZOAK90BAczcAd8lPEGlCLE83F+ikVAUEaTM6v0QvjjaD9mb0ziaQj5HbLXmBfX19 T6a3j0uyWUT7+9Fv8qOH1hpglcvK44OGg9/g76LLxKPnqGvnxjR1d5zAW7L6KjrnCVTw+PyAiuyr Up/PHrR/ABx9d5FmJvnrjiR34qin+DjQ8yDYP+3bZc+L7Zubp5mJceIWH56ixct0O/Lv4cscmL6X Twf2s8Sxl3Rgu2MTTaGe8TPHLXxo1iBoU5t9DOBTdPEl4ZRbKCGGRTfRhbrBs/A6Ht5Qc60lAw7D Ilmq3eLLk3Djikzc0tDLTuOQndm3qi26CpU66PW8OxR73vUKsuDMH+CJ4c4WXTmajfWLg7oyQfPa mbrB0+0zkolYcnXhQ+gmmKcr8vz2OMX1l3cJ2a1kWlXmLyCieObbPksK7m/lkTitSd4/uRCrS3WD uwNnhZtxdBSBdGw+i/R7Abit3K3E+YwhdZNdAcoGsG1alOW2yO73ESfoaEUqBQskuS4kyn/7A0lm n5rCznqpykZPl8AEhKr7DF7w/VU0hA/IkUOeoF8RCvaAvzgdIZEFYmjz2lN771Ld4EFqHNzNvmsd pwA2SlV6IDxZGdw27hYMbSpLDLhRALX9I1zdMGruDmVqvd5yq3WpAoZSC1OOOR5E1pjKO1U3jDUR lOozpGJwaxBsuVttOotKSoSFtFKa6s1QVHSobhgjmbiFD24NggXuilZQ6q30hTXRsqZ604WJLOu2 qy1aqxs8cF+vhk8hs5PbnDURPDnqi234H49xgNoaOca4AAAAAElFTkSuQmCC ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image006.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAHQAAAAWCAIAAACexC8hAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAAAe5JREFUWEftV9mVwyAMxFsW7sduh20GF4N78UocNofQhjzIT+AreYIZNIJB Xq7rEnOMUeBnDOxERQWmuAPPwRR3ijtQgYHQnzm553ns67osy37kuTAhceywJB3r72kRmFBgoJFx Jx5y3Q8H1nGkpNAtDB56k0JuSpuShwnBZKPkFq3SmxCbdiBMyE2oIMM6BMGt2J9SEbt6W4+cVLyN 9NpCnw01mQkR01uAqnOxPo+e+O8u12vpMLMIUhDXKDhajsWg9jAqBbXra4Na06IInx0iMbuKQ3XS HCTV+t5Ac5rhHoR7FZCEVnhLgEYqGHhhmDway+vSVK54tmg3PROiSGJLyOJ5iEHOxayI25iltyki U2cLSbGZRBpp7b2TwW2NdobnPbEaKkkaji26LUsan/F+4tKkVtxk8/gnP98+39b7Umz+qRsTKsRl NCBC/5DGufWzBZrUipu9w91MPne/qIhMKBO31bc55FSDfv6XXv37uKK4iQ9Y9zX4ynXoUpJ2B17L 6KmshrIWqe3Y3h4Xbn9K6jzDt2L9TCEYa05qu4X4IXb9wvPyNNpseaeVfJ6ztNkFDyZCqbgNL1lE TSP75yU8r9B792xyr5J0AcaOHygTKlbgM5+/X6r5FHdg4ae4U9yBCgyEnid3ijtQgYHQf3Z50rOE NyHMAAAAAElFTkSuQmCC ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image007.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAABYAAAAOCAIAAACkU3uaAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAAAN9JREFUOE/Fkj0SgjAQhYNnQQuGEywnQBorW7tQauMpbJLWI1jZkNzAEzAU JHeJmxAxM4KM6Iyvyd/ul33ZRMYY8p0W89K1RGndJWMVn0oxypQxfjC+Ci3LLOOeimBcRlaPPf0U IXGRNCcuqyYpYoxFhJacV21oSJbremvvEelhF4B9jMbk4z5HUOUu9S4UA7DVWQVzQQkVL0aFdaIE Ze5oCBHk4bQnjz3ZSEfqtn+XdGUNv9EQIt/Q28Xa1PJ6hmQ51XcsT1CALgygc479cjvgujeh6G+/ M/Q284P/GHEH8JQcSqoTQCYAAAAASUVORK5CYIJ= ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image008.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAABYAAAAPCAIAAABvD6g/AAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAAAOdJREFUOE/NUjsSgjAQDZ4FLBxOsJwAaaxs7UKJ97CBEo9gRZPkBp6AsSC5 S1yS8FMYZ6DxFSRs3nuzb2c9rTXZht02eav2VnWhhJCENCTIYp+s6kIxVAdBgnqEs1AijaJC9anw 12vR1dQAw3lVjDFp+WihRFGg7QgiPdZnqbXk4fUyMu4oflaWWZY0N/uGs2ghc4AcVR93TgnljjIc PKdc4scK5ixGOrz2zl9OrrAwzrrp5xLuzdCWMWcRn+jzwdBDieoOh+DX6mA3nAJYGoBNLnNqKuDi LmUw9XWrNelr1WpNk/2HxRsM6OM5IC2QqgAAAABJRU5ErkJggk== ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image009.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAsUAAAFrCAIAAAC2V2NMAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAAf4ZJREFUeF7tvT3sbNV1/w3Pv4nSRImUFAgj5KSLUuQWFMjgCCXYRQpHojAv iqhuZEtQIUOBFPiLwrZuc51ckCgiCoSNdaU0JAIiIcARBYqoks6JEEYUFG5T+vk4Hz/r2Tkzv5kz c17mzJnvKUZ7zll777W/+23ttdde+85f/epXd+QJAkEgCASBIBAEgsAABP6fAXETNQgEgSAQBIJA EAgCv0Yg8kTaQRAIAkEgCASBIDAUgTs7+x133nnn0CQTPwgEgSAQBIJAEFgvAlstJbryxHqLn5IF gSAQBIJAEAgCUyGQ/Y6pkE26QeAsEEAl+ZOf/GQHq9/85jdbteUPf/jDP/qjP9pdtN0JngUs4zL5 X//1X2DI86//+q+VMjDyhk9784JyL+Z7EwlBEJgagcgTUyOc9IPAchFwevvwww93sPjkk0+2X7/3 ve/9/Oc/312k559/frllPgVnX/3qV3/2s5+R8xtvvGH+IP+f//mfvOTTXo6uX7++lyYEQeDkCESe OHkVhIEgcDIEPv/88+985zvvvvuuHLgO9kHH0KouXF6zmK618ne/+10JDPgLAQFmStfT/ZfgJ4Ng xoy/8Y1vvPLKK2YI8pVzoSTmAFif0Abx5r333vONf/mdketkFQT6IhB5oi9SoQsCq0TgscceY/pX UcE6mPBrr73GL0oL5r/PPvvMUmN+xd/bt2+7VoYeKYTlNaqIZ555hjf33nvvH/7hH3788ccE+IsO g2nv4Ycf/sEPfnDjxo1VQndoodT0dDaDWpTAHEgffPDBSvnZZ59VscGDrMZfqobfQ7MOfRCYAYHI EzOAnCyCwBIRQCZ49NFHH3jgAZj76KOPZBGZ4K677iKAnMHvp59+Wqyjma+/LK+Z2IjLrwSPPPKI gXvuuccAxCzHmfz6mAgsEaCxebr77ruBF6EBkeLb3/72Jkovv/zySy+9VDKcuFEdDz30EIEvvvjC CuI3kI5dOUlvBATOXp5Qy1pPyf6MlTsUg3zCyuwg/FRF1nNQ3J7EnbJ0OFTVabkOZb4nA7ORaZ7W 2qbNlnUyKgSQCdA68LDlURr1HfhQa7V0ZmqE0uidKH7iQVGBSgOCt99+ewjs1fXoINVHjjD53GtJ Wl1sCLe746LdqS2PrSiBFXWhuKBphWKEggW/CHBA2sfqok8p3Grx2buNUoOqNVLpL8FctCxeLcte 89UaghxOLdoHH3zQ2W9qMeTTEa2uTy0UTTvFtAhLAJO75Ui+7h5UJy+CI8JZP4xZ6FQpwo//56my IMj7fvNhAHWkO+ghNWMRneeguH2ISZPBonjrcOhCEOXnccz3YWA2GqqJslxVO7OxcckZAT5VQEWU goH25tqXQP1K43DGVxCThnYoGQ8NsgZEvpqgrdf3R/S1TtVU1+N99ffRq6+62EQpi5u/wsjT4i+S 4uxjNfnY9yvWWEyasmworOx4tg6qMNnyPBZjh6Yjtsbq3+Q6wykRpxjbe5alrYXNIvBmdwXBOSD0 zGsKsrPXT1RnQ7i+77771CJ25OVW+i6rsYp4dEAJV0EYCdfFk7nvEHJ3ZIe2s112sFIpoXurXHx0 RkcXecSI9I1aE7tE4PeJJ56oMBVqZYlwSe7qZmrNqgFgxXKd0Vq0jcjzmpLimAYDCv2FJufIQnvD 6MFA/Uojgcc6pPna174mGQ/ttsYmvpqgOolKeQrobDO2h2oAVP1VbaOGhTaijNnRqtm0XXsUzgtk cBM9YeRp8RfJ9viM1eRDrIJ6LP3EZunK5FMYxYpu1Q6qdYS4Yy7adljCjopmIaWPa+gavkTbNPfq SPpUB5na/BwNHEMsjmxA0NFFtfMCCiT5aRl7/PHHXdxXmpOqV6sINbPA8DvvvIPc1g537QQBb3DO FiQvq9aKW5ivIrSxquWPU5xqrOcbqHWSshvLqVokITjz1wWNwp0yOAT9BdhCpl0r8JIUTNwcVY34 hoAZHYFqKy+To7oQVRekWfoJlzhmfUQup42iJqkgElhZoqSWyPIWzgWLILSwuy4RCtdPR1TuaQFJ 7rsRaLsedc1f2z+x+CXcNqG2bdiK7JsuozsRq9XRwGyT1bpMZ/VVUzM0+NQIadcDLhfrm4OqBAWX deHfGmNVewhgDV92z844Wb1+CNpluFoKhmob1VTI96rhVLbVTxQOLWM2JJkv/ocwvBm3VVb5tZ1Z 5LDTpGuCKNVXMWlZbNhVQYTbacW/Y7XzlegnQKRGHKyZkEaR39UosrpC3tci2p1IPmF23kfO3aSp iYpPJIs5GzIjOWLrThhZr2ypIMDW/bhcKharE0TOzoarX1msUEwyHZjF/NGRo2FbzguiEgp5ae3U tjHh1kEC1crGP8cKSKG6HzRop/j19MFeBwnzl3pNObL6GWUdeRAm1fVsKu15S41Jqwld1TbMbjMi L+m5WHvYhDpd+yAmdxPT8vfu6x+a3ShpqiRntNk0+dRipjOoymTHXJQ3DMKa94oh4bYX+x5zXT5t jpNHj8kdxBRrZI/xQaOTQ5/WcqXDWI0tjPyHJtuTHrZL/1QzS5klmYhttZ0gqqRgC28Mj7CKVTXT B+G2FG0sNfoc6erJ226yg+WJ0lmRbqu8OogbVWEHRdlLDEbUAUob22vRa4TlvqOIj2UaTbJaAJg1 jYBylXF7VflezncQkKDr8k0axhGK2Vm3DcmrarZV67VY7TZxPShrRW/KtcOTUjsQtCfowJmuxdE7 V5MzPx1LtDZ3jaFEqdPGOpaApaXfZL7jjHLm0vXMjtZOm+9JPBFZO7zef//9bS6728bWiO3RFZJq u/aI/NPaHZpKu97uCJiRva9/ppVm/yg7KK8y+ewMqqbQMRf1OGvbK+njHWdoxFI0GXec7JSIXSHe KMpsCjR9gLL/smbbJC6JcOuw3CfxPjQWgcGkZpatglE7QZQIArZqI2hsSM8Kiybo05lW6MscIDqo 1V1ZhEPVNa3BCOGx9CSHslH0rS0YhVTTVbZOar95b923Bk38PWg/ovpJKdNKvVaTuuKFuR9n1FNJ Gd3SybwqlirvzZs369MotVA125o1deplqzXWQXUn/2TRKidtnWUUVlUjsX2jCu46VZAJq5ItKNzy MLWDGOtJXPxv0vOpZ6a1d7OZiM2sJzMXQtZ2vWoGKnWt91qSiv9m22iHBbczKqIYtoou69E2OZHJ cG0KnLwGa6iswbAzwtR2ajuoCqCq8ppa3nzzzeqGbhO0w2CLcFtNtblw6IDcga5NX5Z4U2XpjCGb wym2BVZ3SQm1+2NSNkK+Vtvo2dkPquICs4bEth06GFqozQnCfXxHDwM1/ZlITRntgOnLgeBXGQ8e uTblCd/Aou3JlmT9VWtzMWp9VG8fOPUeVE8h3otAR56wzfHS/lOz+EQj7F72dszBe+OOSOCwUiCU xFNzngNT9Vj37KtH1HvxbCe2GrAcEU7+dATxagMdIc892pNzuxAG2hHPSnfEg712HjL8/vvv21Ss +go4TztztOKOrYWXnb7JyxLQnZ4XgkbLRtlPzM+bYM6f7xJyrPagzcfULB08cm3KE61Bh229rD+o xTISqQBFcm4ok5axhKOpwVp3+q2AT9V07KqsSgXek+AwohB9NP9qUJSYa4YwtU4717BLs0G+OqJV 33GaqRG2lhTA7lRxNIcjRpS9WrG1Jl2dtrHMCWxEKPon1Y54Sgn+2mwE01bhy7KY443DvVFcB7cr YOWSNk2+tmlqVTfDnNEfjZZSSeskoqcr2CnUCcdBMWesWufMI1EdbD/hsN4+Oww68PVW5jlGaXek xjVdbFlii4udpxwa3KysvW+cG8p5n6OebhBbQ7a96YxOYCec7phcH4a5zIluiX0TaLDDCiAOVTyb u5tsSXacRHXMgSkLw2t1ENJka7+1FOnD0tQ0mibUglgJY6/N3dRcLTb9zohH8ygbT7ySs2W51Yiv 4xaT0nHcEcuDTo8rkzq7J1/bNNkFx5Zi99VuJ8TNg69lFoCZyGzMeDSXHrpp2DQbD6fKqHPYe2o2 DpYnHNA1y8eZv8ZNVxl0YFZa8tFmSSYyyWGgp1fTGycamusgNYE63TuWjefU9X1E+q6KOkLGEens jYIUuPfUwDhGQ3tZuYKAFqVYYxeg8StYaDbVicRM3Jk8OubAxEI0aRcQp5XY+qDS0+auT1KrpNkx 4rG8UU21teCtW0wJmAX3XtPaSbNm62ViW6amnMfZNHcYkedyoqqNubb/dFhUFH0WJDtsrkdkcndS 5SJCVxnD55cdNuBjFuoI3UuNgCqv6m8Zrcif72sT0c0/teUSlP3ISZRgRxS8orito5Z7NWq0alUW 0yWpSlQ/vfDCC1boEOiGxFU/PCSFIXGdCUih9sjVSxcmEhRutvPW9EwFdeHc2q+1ONt3hrA6StzW fgKWLGlrBey+j0UeJccVJNKOeK3o4A5vwWgzqGu9/FvbGVB2LEZr9m0TacnsqjatFcA4sAgaDYg5 SZ1w0DiuILXVWNPr8C3FQuM4lnrGWknja22d7JyloS3xpUQZLTx6ArSVrMxEqqW24vaIw+tVNnFD mF9mXGvQOnIgVtxsLdpq9mpF2GUWJ1ydCgHnbOdd55KS/p1uT2UAdCpA+uTrOFO2MgYcJwVNUb5E YdKsEU+jjRKVtLIqKbNSUBLlbxuxjCr4NPrCrDOD1qhSMpnDSz1lm1KNpy1+yXx98BxIIyybMkTJ i6Lt2EheDp5lklVL95bnVroSbUs34mz166l2YMkXEh1QytaphDvlfd4rrgricGGCItcqs+QSc7de R8TkKpu4EbNYTlLUFzBaX/621meOaPYfKIFamuXwH06WgECnJ9ZuXTsOLIHP5fBQZsKOXY6Tzu50 N/qgGNoZfVmdVOnBLmln9I2xKjULqzxh766ITmmmOS4mrTzRjiqO0hbQmds3xUaVtMiEqAAZl8/N 1JxfOu9rVHSQFEzJHA/9hUzkC3xFE0unStVf3ihVjFicg+0nSkRdVGDT1qluT24vXIZntsD37kr2 KZq1q09M6MmOzXLs1Fopvk86fWg2beL6xDpTms4l1/SNsmirvc9a4uA87kyLGbbnQaDcC7bjwDhX FcxTgOlz6fjEZASry+s3PY3Cjr6/akdfEyKHVn5bv73lQLMtxGZEfDhOXcrOqCKfZsoIo2GTbFQ7 aZm/ylfvRGzjqpWUZaDcDGq6hMWVHFJN5ZmtYzJfdrvMUJ3zEK3rzE0r4OHFWYk8scPWybrxoQ1h 74q15l67vz7IYoVKWyzn0Ap6A69m7pPvuml2XHJdVanqkmcsH73rhvSg0rVePn/60596hVJPC7UF Ovcs94KdceAgTKYmbt2nArW2eLMJPR2fmO25pK2eRvVNXsI9nbE1cmz99pbxfluWqyJOCvKOUeWq fFvmr/LVOxHPLoZv3LjBb2mPPA7GFNN6upSBUsK15/I2TaehbF1n8nfTCnhoiUbUdZwwqdoSA47a jBBo1T48KtkMD9mrU9dkgqWNaNUSQxLvYGhenVzG1VCdsNbarK2atr7cIKz2XdsfYBL7ielqTS1o pe8mVM/sSgHbk34Ksurj9tDqqu04MEW+o6Rp2x4lqYMSqTGT2avdtLUD2hOr0/GGxDftJ+y8rS2F 2832a625a4+fcH2tPn4Qz7uJq+prS9Rc3DO1bbhTUAPs5jBbzLuPUAPUiHxelVRrkGeTqDftBGdB qmpaZ5fSW6i2fi2y+1Ojl2jMzf4ZUF5sFgorsOe+/mL5DGNBoEXAkchxsyQ2wnr51CS25ObOjFJC fGcW4W+N5kG7g0CB5mjuX0B289s5z08aMfjGfW7Dw039j6uUJQiLx3GeWLMhEHliHKjbVdE4KSaV IDALAi49mcPUTLQzWckT7VyiOVgZOEPvOs9E/Ou0p43RLIU4j0zKSrGWmy49QQkAhZQ3hW3psUXY tcqpbJAVfU6iPjmP2g2Xv/rVSuwnlNxP+GCZUc3phGwk6yAwBIG9lzu7KeuFukxsW517tr53Oh5C h/C2grherdkWpGyNebnpagnBorW5M+KpbJDZa2eIa3foV1AjKcK4CESeGBfPpBYEzhiBvd4DvemY Eu5w7tkmgnHfGcMxNutYw+ky9Spby9ZgCDL+ctQC+YwnNshj10bSmwCBKGmCQBC4ZARa8y43OBhm fFkWW7XNXyPQbueesZ+4qkWVAWAh7F4GwLKdIc76zWzNWZZgP3HJfSRl74nAnW525gkCQSAIBIEg EASCwNEIZL/jaOgSMQgEgSAQBIJAEPgNApEn0hSCQBAIAkEgCASBoQhEnhiKYOIHgSAQBIJAEAgC XfsJ/LwGlCAQBIJAEAgCQSAIXIXAVsvL2GOmwQSBIBAEgkAQCAJDEch+x1AEEz8IBIEgEASCQBCI PJE2EASCQBAIAkEgCAxFIPLEUAQTPwgEgSAQBIJAEIg8kTYQBIJAEAgCQSAIDEUg8sRQBBM/CASB IBAE+iPwwx/+8KobTPonEsoFIhB5YoGVEpaCQBAIAvMhwK2neArw6dyAOiIT3/zmN03t/vvv50Lm EVNeTVI/+clPrAXkLcIDy0UiiG5XJcJXMmpvAx6YHdFzXnQ4hkkhCASBIHDeCCBG/PznP6cMzEDc R3/ehTlP7r1FVr8OVMf169enrgiuC37mmWf23ircH87oJ/pjFcogEASCwJoRUJhgmmHlStjlsn9d NNdfF76oHHwjJX+fe+45iXlZBLyHXs2Hibgy5g3vi3jNyPYo2+3bt3/84x9LiGxHRQBRgQmewMgj jKqU+BV5YfRqe6PwXnhL59EqPKxT86q668HjPpKe95CGLAgEgUtDoO7R5r7stuxcq81t2ktAw1u/ ZY9fRztuXd/KG8RwvgS2F8hDTRTyxl8DzHD+ijMYWvW0DV5yMb3E3nRf7YQwUPNXAh8X3/7yvi5k r5fTwWJLlhnLIhs8NiGL2b4pemIRnqHlCAg8AKbVIcOC6UsvtbeFy7kEUPIQnZfV/quCjFt1UfVi xVk0Ina6+RHVEf3EPoEr34PARSLAOhKNK2PKAw880AHg+eefXwgkL7/8MoOmHLIlT5gx8Sr9Lard hbC9QDZqmpc3ZhcaAM99993HGvfDDz90WuV57LHH+GXt+9lnn/mGCemLL76wCvhl4fvuu+8S+Oij j+65555OYZ3bMKFw595kpzPaIHEygh9a8nvvvcdf2Cb88MMPsy6XB/62TZoCOqnLPL/8ffvtt2eo NSGlASu6oaIoMMUZhG3eKCoefPBB3sgVlHJLSTvtn0qksCVtQ/P5559LrETyzjvvkMsrr7zC+4Fl jDwxEMBEXzkCpePdYdm0AwJ1ieeI0V133fXqq6862jKKqVBV6W1xSnF9HDIjYoIYUbZ+Jqs2WMZU 7daMVRrjMdW8IxbmpEkxLQELD3PVG2+8wQTD5MQ0jNzW4QuFPHOSMzQPraVaBSKCUxoECCKdiAgu NqERt+13Y0ZGPIgOTz75JJQaJSA0MHl//PHHlJS/iM7VsJWK+IQsxctHH32007omqiJYevbZZ9uT L4QLzM1Mv/3tb2++pJ13zs4g1b322msdSutFcapUNVsTPKywR+g0EiUIXA4C6g+ZsarXbS07BK3K tKWZQVM6UXW4pin+/asOoPY7eHPavQ/4oYLUFcubil/XwX4Sn9IYW6cjqnknwn+2ZN0OqMd8revS qzvxuKLlUTde+wiqGQS20iG6C+iKaNVIYBY2MH7bnZHRC95pyaRfTcWCkHtH2992Z3cTRudqM8FW i0C4BbPFCsQ6VVaKinavxCg3b96sGqmtEKO7k1I1Mny/4zebZDMglSyCwDki0BlK7HvVCR1GaxS4 deuWXdfRx27vvNUOo4WDvbo2pI3IU+PvEhBzF9a5oebsmjnaCfsk3Co6OLc5K9Q+NG8YTGsmaGWI zrR3Es7PMdNRdtnnKXhVcWvVUVmXLYVfW7MDaToCxGmF5nkQG55L9jtKdEsgCGxBAO3op59+qr00 n9Ec0utQn9599921OEMt7IyLat1VF1GgR7/Kdibbk7xhg9Zhq3YHIHjppZd4iTKZl4QZAVF4kiMB 1LDuYZ+qVurwOiWlOChIO0pvFMIlJJ2KyTZfoAY93tx7772lZr927Vrp5DtMjqnmXUL5p+eBJsEu u7sGy3/opE6Q5esCMwLZZv/ikUceIcCOBts6BDpmB5QUC4+2jDSq5Rf59BwOF0mSQhC4BATKxNpO WzsgLtk3deylQTWisxeUtdBpl3rtkrqIN3Wwc+KsJbmFhaUyx+OvglQpYwgP15QeV7TSDNWaUk6q jpTh/Ft6dcMjqnmPYz6x5kGgGknbNmwD1Tzc3aiWXMqJavbzsHruucSf1elFunCwZATK5QsBDKZY nOn2h0cXQOotsO0qU3YWPTdu3HBBg7JBMjQczMqs6aHUIkxFRYXRAaAAkNhfCOJJcMltI7ytDAE6 aQmjyykaIw9qIYR4jEZRq5Qdq/6vEJIW5Gz03AWi8B8EJkVAa4ZazdSi1lVvreB931myOyRpDOFC p2PU2aZcS+o25d1GoJMWPIkHgSBwcgTKfqusiVuWlmbOskRxbDmCYTgJAkEgCASBDgJozjhLjBYN 2yDnOSVj1sqYARHw/WwnQldcQeUHvcrIG7dEUWGqNEU/4UsXLR7zpiI8/6l6oz5hRMLfidQwkSdW 3BRTtCAQBILAJAiwNYD0gCUy+3c6qGAvD2tl7I7bPcFJ8r6kRDEd3XSlpYiATKA8od8wtllVZ7q1 qjDHngh7r7WRyic0qVgrK4WMDmTOd4wOaRIMAkEgCKwcAaYuJiTmMOx+tCgibKCOUawcghMVr+MZ Ey6oAn4RIKgUjSpKM4TfUiQPJQw/obSY7qzKUHmiroqB43mciPWpRLnyQpo23CduT5r2Vpu6gmWs u1/LhV8xU94JLZSu/Y52UtvWmh4PSb/P0UQ9JNaVPy+++GLHZ2JP9FZMpnvBrQWkeVh9eS4ZAe9w WgcC6CSYnCgRAUp09Ii0DjSmKMVDDz1UJ8y9d41cOo4s2wPSm3tMdaBsju2n4fYmmKR5ugbZp/Up Njzlo1MoNtxSIp26Q+XoNDsRTdCDguUaZUSfJx1DvDqPV3kNKYh8asvj0zO1cl6kF0JieVqyZ/SQ 7UbgfD1ppmZ7IuAp3IMGimV2MedOh6k6kOm+Pu/7Dyk9cbtksjrw7EhbnjHLx2UZQ3gcHfxbZ1wV fQZD7xH8Y3bkiTKA1xtdiWyUuRyWTToDyYA9trri6H3SyZhk254z4nyw1bDfub8MoAb2sbINLsth cSv0qv1VRhcoTzj6t2c09MZow9YLhQMoZDZ4Xm6NVRPJJpmdqAbo8pQ1sIoTfWkIUMvlX8QBqh0h bRiOXTaJcpZsA+PriIPMEHBy8mgIemuNO3S/w86AWzrV7+hhMMlxkEUDpic1+wZKG+53p0vwbF4S M6KmCB4c7lEN4dpvorywcOFWQxIvqxa02eimRizIZlJYP3m/HAXEfHcs5TkJllRLKUgcb3FufxBm T7TPVsikBT9h4tiXsQEJIF6ZyBDPliTIK9vxlQZP86ZeMHGiVSgWbI3lHYaASTsBWP4WGSDjiEKb 7dZX5gkLnqynQAC7uTKUI30GEMQLtX2MVzYM2lsNJk8//bSu0mRmIf2R9g/bJ78HbooKSppDEBhH nlC7ohkqQyQXsrXu8XlJF8JmhBGTrsIzhOOecRnZneyZBpB1YGmEy9OavOn8WrjUXIu0pG+i6Z66 IJgsxi1O8awIiEXVJ5984kvCw++xnQ6TGVJG2HIOsH5BQ0MZWhdtgF/N0LyMsfjZjOUnyJS/7SOS tRvPHeuqGQqYLGZDgIGoPJuRKVeoI0SyMsFxWef6b0790U7KJKv64BL6I6MrA/6hw115cJ8N7WQ0 MwLjyBMt00xIrRLPT/QKbEaQaksnPHU5ydGLaBnrO96CR8maVSnTAP1K9++I6uUecZT0NxOhRJ0s pjPTRQjj4gNX5DyoeSYq1JkmS9VzRgvm3ZhgiD/Iwq52N7cWf7d11ZkiFrZBwEWI2xzqTTnLp+ob qbRz/TcDF+8hqD64tP7IeN7HAr219T5UBLmoZgNQhxq09rGj32EhPj68AzdyOqYiZS3izYqd3cHW HsR+NcVjLq2h0BRbfa3z/46ZyPBCtduolEUTjZqEWguVo/Mqv/SqW0WsXmrg0rJhRrY/b13ieeGF Fwys2PyqXFhSzPY+i7bgAgiSpZbbGqssLUyHvy2ZorZt1cQnNTM6uuUk4nEI2G3txTUSVo+z3stu pjU1M6KGnAQOsuU8jtXEOhUCxxnHlHX8qdiufEewx9xRBnvCyQt51gzMCaA7tWcNV5gPAmeEQHW3 1iD/VPwrxDCl8dQaQ+nHU2xaJUsjgb9GKWmbKLXmef/992u9UVKyonNJz6cq76LyBVsxcenoeqNq pARNwZS4taN3+bEZ0UrZXB/yvkb7El6VaIc0xWkn+7Ywi6q8MLOJQNuqgs+5I+DYnWc6BEZpIXX2 b8ggPgonJqLoQKAmNmcpX2po71eP73ngq5h3PvNTceU5Mn+dC2siNIU+/E9Xj1On3Kd04NaCI3r8 ev6zdFolxhXCdcwQmnrZiajcYD2SrBVUdSp7ar+s4j4MX0Uzvv1EWz1YaJLxRJaDU7eDS0vfYyM2 uDznjsCQQSFx+yAwSgvRSIJnOYYFWIZSNG/EZWdTd9oENDznikt+OYfCKadCwCgeN2OGaz8VTWvC zEtmL4+q9YSxT40sk6ZPATHBvuuuu7yGo9ADZE10hZfHA2JacNctx5X+jojQ7Lb29ZTi8HN808oT faAMTRBYOAJ08v5H43YTl9kmLlB1LerTx66tRWlWG6uFV0/YmwaBEnRcFmp47oOEwfzXyZY2rFTE J+4D63ztmDBPw/IZp6qDUaSEFr2DbPx3R9xt7UvWHKTgnNHQxf8yZbpwFQSWg8BB5k67iVt1YpkJ uwm9nPKGk8tEoLWZMMxTlhCqzX3ZhvlbmyB+Vd9u+NatWxLUdmoZlrob3u6MXCbslLq14wbbjpEK 6FXVtBbc3/rWt8TWr26OCGnRd2wjrLvW2rfFfLipb0axi23Dl17wsrenj9nBap+yhjm7ZW1hOkS2 RlKtDVqHuEyoWqC3yhMQ1B6nWbjrpMGajDlelAlb/ZWBnpvQl17lKf8wBGoPflgyib1EBBhDBhpP UKrsdziA57k4BNDs1WyNAwm6E7uYHa+gOCF1audhy0ObKVwCMMG7hYkq2MkeZW+HmL+kWWdroSFx 7mDcCrSKTfZHyQ7xhbwqCwK4NiIpXCFB4Al1M+WvG/D996EvrppT4PEQoAW2LrbGSzgpnRgBbF8Y A4dudtxxR+SJE1dksj8tAu74MvcrE2z1Qogjbb4ibbC/yKOtg97SygatSlHEvKkbhP3acaDZFhxr qS+//NI3pKyLTLMo9jRhk8+Km7uhT9t+Lip3l9URXtdX6Thm3DTwPKKYkSeOAC1RVosAnkBbL4Sa lZWQodsu/cr7lA0a4Zb4IB+X6C1Y9nFTA0oIZYXpPJ+utuZSsCkRQGHWWg1rRNxmSBvefDklR2tL m44PgANPWGDlPeRSp4MMz7dXwBJ3csJTEJgeAbcMygCifKUY0DRJGrdFyojp8ccfty9B0EbfSlxb ksgirZVDRayk2uwqrwqU8Rr0pbcoh5sHoVVpmvURBnGAs9diwyP1BzF2BLEGaGZUJoRX8aYbpSNy SRSbusCWs4TWfG/41vukINt9NJBqLUPbcDFQVo2+qYFiUg7d6BzYZfTzcTSfw+1jYo95NPiJGATO FYF23GEAOm4Mmkdi2Atx64SX8I4RueNnaW/KIWgRKHmiZLJWOGvF4pqzy5+myJfbq5mB1eyJTF0D lGetmr87Z7IkrtJNISop3ACLSwIPyMiP4otSsibYLW7KOp4B4VMZaAup/boE64pIoOqiI1HxVx6I WB42HRAqr/71lf2OtenNUp4gcBACbJ26xYOmFI0rKlN11+Uho3TdvPT+IQI4wGCPRmuSzYhPPPFE KW9Vgx90X9pB/EPMOAi3bSw0t3Jb5aqblqA0DEsW89DsQr+JgJNZgYmNBX/BmdbFdIVzBdwbnMpn F1ZHGh4xQXozpTuY6Pl8z99HHnmkCuVL3EnxS2vHCnXcRkKaTvnadKvtq9xBya9whVkVNtflz8rN UKDGQJubadlg1UC7470G/hWeNMPiIU2yoLzkRe5eN0+vwW6MXqAhOTUFJZ2aMAm2efVv8JEn+mMV yiCwTgQYktqDLRSSdQ8TQK1dWN/UERhGK75yUMWVkF75oNSey4ivv/66ixtGLleHuvab6IEZhuYS WRAj6nBNDYuy5xBMWXjPFcGwTcSBm9YTFWqxyV5lj9nxd6l7JXAGbS9TXcID80yutAFaiMcZaC1I DLdv327Z0zcob5ybkS36e7TbW0yQQRBHJoASSYVpvt39dIIvBx5QepUxD33tlVde8b77X/ziFxpo b1aHphidbU2kOsqrYZZ9gV5DgKppr48u7UibV39ve5En9tZ+CILAyhFgWNk82FJHWztHYDpY7IgI ZcfL8nQ4srpiktCpsMsyD9e89dZbrXFrnZFRtmDYZYCuIkzH3ppSBk8kMJ7NmayFWvyZpznx1H9C GhEop9XSk8GwZ68IIEqWAOraHY+fbdZq+0vQhKbW+sM59GYDeFAC7pzSZIJXVcBDvlC2WdfW5Fe+ 8pWrOEEbVOLIVhrWD7rjJECVlbzSIa68+p/oiTwxvHkkhSBwxgh49LxzsKV/eXZHnNPLMrs2rinb wzXXrl3rTBVVtPJPOvzYfX+4zpSS1Tnil4eTmeQ8OM20x4yocsuZuzTzFhN65kLW0MRtF8HzgFAX EsGA7mHcyMBxOBoCmGdGlxMot8pGrU/xEY9cudEGgGoICIMPMCLaotsjI1omKhP3WdpjNfIv1HRb YkFArDrTQXT+/vKXvyQuiRBWJHKDA2I6CDRI3hIAArWJpsSNP/2LWNcKGeZ1QH31N7UIZRAIAitA oKMIrVVIHWxxcaMhmAEHFANPPfVU+1VTO95oz+UnN4A7XpangK5Mz0y8TERlWEs6d16K/ypUreEG GtVPUa5zSVMfzwvntl2sa7FbzaPU+xaB9x1jxg7Bwkt6cvbuFMQ8QSAIBIEgEAQuGQHW4pkQhzSA wDcEvcQNAkEgCASBIBAEfo1A7CfSDoJAEAgCQSAIBIGhCESeGIpg4geBIBAEgkAQCAKRJ9IGgkAQ CAJBIAgEgaEIRJ4YimDiB4EgEASCQBAIApEn0gaCQBAIAkEgCASBoQhEnhiKYOIHgSAQBIJAEAgC 3fOihznDCn5BYB8CyznPnba9r67yPQgEgSDQC4GtA3v8T/TCLkRBIAgEgSAQBILADgSy35HmEQSC QBAIAkEgCAxFIPLEUAQTPwgEgSAQBIJAEIg8kTYQBILAahHwumquTFxtCVOwILAYBCJPLKYqwkgQ CAK9EfAmZa9j9uHG547JLbdUc58kF1Xfc889vRMOYRAIAkciEHniSOASLQgEgRMiwD3p3If+xhtv yIOCRecq9q9+9avf/va33377bX5PyGqyDgIXgkDkiQup6BQzCKwNgevXr7/yyiuW6qOPPkI/QeCb 3/xmqS4IsNNRWx6b7/mKIOL77ImsrX2kPLMjEHlidsiTYRAIAiMh8J3vfOcnP/kJidWOBtqIH/zg B7y56667vvGNb3z66adseSBtfO973/vZz37G+88//xyCV199FWXGe++997Wvfc2T9FCOxFSSCQIX ikDkiQut+BQ7CKwAgccee+y1115Dx3DfffdZnO9+97v8Imf495lnnrn77rsJIHZgSIFs4XvC7IYQ wMYC5URno2QFyKQIQWB+BCJPzI95cgwCC0XAyZWH2deJ+aqHrxCfvBhoF1rhQPkAVcQmYx9++OHL L7+8+f7jjz8uIePkxQkDoyPA/pcbYTzubfHGv61JL+25/cRXuoAE0m8SjM7qGhJE15cnCASBIKDa XxxY37NZsGRMHHwRBXjYvyiFBGy343L9ffbZZzvjtZ9eeOGFes+GyJKLHN6OQwC7XSPapGktthmU Ujy89FcCwhJXY5Byk+A4ZtYd6zfDx7oLmdIFgSCwFwEH2Q6Zky6ztQOxU6+GCP760nm95vi9eYXg XBBohbCamPszb9voTz8FZUeeQDhoxWUFBWls5+0DsfxfRTAFw+ebZvY71qBkShmCwCgIdPw0oPJ9 6KGHGN04RsE+AtaLjnTsMjAKY/DI+MtLBAt2EziTqRXCZ599NgozSWQJCDjFOptyoOZQlpazl0QD 1mLGh3DrvAR7GrY2MMfpFJDtMA8bX0VwKCDrpo88se76TemCwPEIlGSA9MC5iXY4rkSff/55BAv+ Mjo//PDDKi3yrAaB1ugEw5SyKiBAjWOawDnbMrtpbW6kRNAEiiKYB5Ziss2uWu8XX3xx7733Ijo8 8MADcOh7mjrS8JNPPtnhsLrAVQTzlOhccok8cS41FT6DwLQIsA579NFHzYMJgKkCdQXqB9/88R// 8bvvvruDA85kctRiWhavSB2Lua3Wox4l7fmQQlnq9YxygWStFooap0nQSJiS1WG0Jro0Bl765saN G24czOPkAyZVpHUqSGZgG549J8xuHSeAeM9pYUqBAqZVWlT0vQQX2BK2F/l8t2rCeRAIAuMiUMcm a8uZAAOHdhVlP3Hz5s0aTSCQpjVsLKO2UdjbaxnqjngnLzQlB7FRNnej8LyyRKo9gCphfrVqpN5F nkALYNWIhjVlFbtZTVMD1RoAqTyzOWnAWwZDkllMfrWZ4LeaUEswNc/nm37sMc+37sJ5EFg/Agox DPEda1DGd14qADE31DY/f7XMLzPA1m7UT62Q5LxiUqRpskavuWf9KO8rYckT1AIYKk8YicCbb77p 35L89IbuV+WJg2S7fexM+93GMG0eK0098sRKKzbFCgJrQaBdHDPH1wHRmsA8L+pSuFbJ7bEC5jMJ oHSGUxBpFRu+YaaEshIhnEOkil/KCq195eOPP16iWOmrCvYS1MRZgs0DRGtppCnHrxGI/UR2voJA EDgDBDoOLh988MFi+pFHHiGMxRz2H0x+P//5z1uPmZKVo0z9arNZDuVbb72FaV6lw5Spgyyed955 B2M9Drbgn/sM0JmSRfBkqsAgl0zKNIE3r7/+Or981X7Cp65ew5DTr/wWwVZXY1PynrRnRSDyxKxw J7MgEASOQ2Crg0umK2zlsNg3TRfHvEQI2HoaBRoECA8d8Fy7dq0MTjtclVIkd5MeV1+JdYkIRE0T BIJAEFgyAto0lP1EDdOlflchr6kgAejbzY6yhDBi6d6l6TjWNBdTkD77HeO2jdb2YtyUk9rJEbgT Di5RjEqZg0AQCAJBYC4EOI7LlpNepGpTaa7Mk89MCESemAnoZBMEgkAQCAJBYMUIxH5ixZWbogWB IBAEeiHQXi3rpZq+efHFF+vKWVyctdds4pyKT7yUkihe5ulLcpWAx4s9dSfVXmBbUXqxGKLFIxB5 YvFVFAaDQBAIAhMjUC4sOSaD+Qhu1NmbwIjkb//2b+taFu6wwCGmW+QffPCB97kgOnDJBWYoXPXC GRCMYT1wC03nwhfeII7ovoL02f7gEA0BJZKJy5fk50Ag8sQcKCePIBAEgsCSEWBGx5qVA7ecp+Ua C5xSy23nWhavBEN0+I//+A8JCHvJxf33388vKgeO8iKREHHziI1yA/YTChwe0L3qJM6S4QpvWxGI PJGGEQSCQBAIAr8++YK+Ab8R991336uvvorDD87Kbr2WBcUD97mgXRC1zrW0nrDllrjNC18QHZRU PImTZ20InPyESRgIAkFgdATWNk4trzyjV9lpE+y4sNSjaJ3IFf46squbS4/aQqlH87r8QmK+di58 0eu2X4nijRj1u7v4y6v/vhydtlpnzj3nO/o2i9AFgSAQBC4ZATQWbG3Ex+Ult4HdZY88kbYRBIJA EAgC+xHgaAZE6Bhi8bAfrIukiP3ERVZ7Ch0EgkAQOBABlefjChOcKcVy80BGVkuOBqhO2BIeWE6A Bd6rEmkP8Q7MqKJHnhgLyaQTBIJAELg4BDjQwSnQQ4tNLKNwKiTuMoWCwy+cr1Fo44iNp2aGPAC7 Y3OKr+VsfkgubdzIE2MhmXSCQBAIAheHAOdBjiizt5XyRJgo9G7fvl23xuDGA1GgnIwhsfG07r/K b5gqDV2HQd/6JYOG96XzaBUe+iUzawlKwjuiNitK5Ikh6CVuEAgCQeAsEVCvUL4sa9ahMM4u+rjk QTHuzAR9ecPkpVMXjrAkIwp/oan56bnnnlN7rwJDAn5JysRVuTsRmkURnyWmw5jG84cJlEyAhIGu goMzvOm4/yq/YZzO9fAtp2lwLKZfMmLxHv9jvCdQHsmqQrllF5pXXnmFN6+99prbWMM3niJPDGsC iR0EgkAQOEMEcEzJdMJE8vDDDzOR8NcjoEzqzEzMLsxYFguPEXiSwMmEqgg+eRAUKYEozEyEkSFw bOUUhfsKZjgS/P73v1/TIVlIgGailPBo9XlDasyCTH7PPvssfze9Vpwhukey7B4HCHOelroAKASs AqR1/1V+w8wJSr2AQNwxcOl4JIPm888/l9j9DvyIkAsVx/sj+f7/okWeGAhgogeBIBAEzhIBpxPc WX7yyScWgLCrZAJVJOYe5IMPP/xwayEfeeQR3tdmP3PeF198wRs3Mmo6RCjpuL3iq+tmTCj0m6mY UnqRs8R0ANOPPfYYElWrJCCsbLc1Vf2GdR7Q66gZtnokszaFXcchqjQGsP/rqJEnBgKY6EEgCASB M0aAqeXatWtM7c4u6hvah2lGPYS7EnxS5kCBwRulB2QFnGYaC8+YBtrpEIJNiYSZzMlv3DMjZ1oZ SGCoJR544AGEMH4RL0ASCYO/qBDAil/UEigS0AwBvu/5pe54jy0nDzokU0DPxF+i/9Zv/RZveAhb xVQoagxoSISk0AzVoZKh0M3sPyvZBYEgEASCwMkR0Kklj34w1Q0waZULy+JQNYarWN1ZEubReNDN e1KrXXyTqlvBzAXiimuCkJX5ISlLJo3+N/OcHQLxZzVUIEv8IBAEgsDZIYBi4I033jjudMbZFTYM z4NA9jvmwTm5BIHLQgDN6hFuCS4Lo5OWFltINOfDTfpPWohkviwEIk8sqz7CTRCYAYH2FN+Q7Hb4 MmJbfba1r2fx69lRojqpOKTU64jL3jnq9NW7f+gcfG0dLXhcVqm39cdQ9Wu70uZAglGcNBzUfuqQ bUc691DuQUnNQBx5YgaQk0UQWBYC7JGzUT18vt+RwpwTFScePZdYdgBXwc2xuos9PrCsJjgXN+U4 iwwxPKSFcGxVz06cYeGvbZjfzhXq0EBPT2Ei10+URh6KF/M8ZO2RWg/3tlmX24l5OOmZS+SJnkCF LAisFoFyK6RDIddk5e+o9UFUy7iOLyNXcqSjCz/CTzzxBIHWwd908LViDRJD6xCw+PFsQq0vLciO 2w2m4/a8Ut7qYKpzHEBXVFeVq1rFQgrOAVdOmtBIOP6wY0sOGhxpePCkvHEQmPMoCqcwPMOJdK40 s6lZrC7W9r6SPOyMFNbuXF1gIkVL5ImFNPKwEQROhkCNVpwDxOQe83sGTRZGzNOa9Ov9l7UaSzq+ MnJ1fBm5kuOXhZSK9P/7f/+vA7GagzlXda1DwOIHV4P4AfSvzMDYq6++ejLQzyTjOgZS/DI5ee6g VFD6YbzqwUvScE3YcLSo9FYU8BAsyV517VaH3kOVnOEczkn/FDq6tK29iZ5I16Pbtr3PkpYPMZq9 Gg4EFN2UtWqb/vzspYw8sReiEASBlSPgEseDgp5NrwIzojESOa4hFvC19U9QvoxY6vHVoYrdhxav 8mg0G4gdh4Dyg6jEaX6mQMqCbQdjq0WeU9CZDYFJM0IsUxfVyUW1kEvhrQY6rSnDpBy2vsMroxIm qP1qwwg6V/np6ughcNhFa0HInpTzvYlv9iY7HaqUzd6HJKf7Cru264RJ9/siT+ytwRAEgTUjwPoG t//lCYCilos95lom462WEK0vI6IQndVeeWguvHY7+JsI1q0OAcmLYvIrkzpd4JlTfT1ReWdOlqUt uOEfqc0XZ1ZMzLxXP08AhLlygiZ099138wbPSwimNKcZBDh1D6of2sesW0+dvGk9gbbEvEcuMQq/ yKM0levXr895IoYcS32CNIb0s+kuk95qw94qKJQnj5kaydl5zAjDQSAIDESgHVzYzmh12oSVLbaO yOWSaKsvI76WdyMpb968WXkpc0z0FGOk38pG5k6hyk0THDLI1k3NE/GzmmS9SGKzOIDMJ98TBlWq wL/lGstP/Gr/q5DhbVWzPTYMi2A7L04Il6tp24OfdNVlgJcy3Daw2ZivfDttWM4tV3Ve+KzeVxy2 /scsoLHsBaMX5DejxujpJsEgEASCQBA4dwSukifa2YjZVxHNabiVP04uTxyBv05Cj4h4RlEQLKYo Y/Y7ZtIDJZsgEASCwNkhwL4GtiZo3T0EBP/aRrQF8Z4IjBIIcNDDuyE8GOJmBwH2O/jk3RMLB4Ed sdXvgrFpNUUZ42974W077AWBIBAETo8A8gQnCPaeC/CGMG1uECDqavLTF+CCOVCGQ+Cbujqin7jg Vpai/28E6iS3q6utR7Sl2WqTpc+G6UB1gTiDOdt0RUjK54sAIsJeYYLSIUx4vyWPx3/ybCIgPshb u7U1EIxi/okkgXlpXQA7XY1EnpgO26R8fgiwDVy2Y/jR2ywASsIy5et85VOfAfdoUBjQNafKEwQW i4C+THym0KgvtuD9GeMghrYLRGnPZm+mgDphFD+zpMOZl0lHJ5mPPNG/GYRy5Qgw/LX6QH0ze5he d4qlHuBiRpcXrStGaNRPbB5/14FgrUjcfq40VTxIQFyI+VT++XcoS1ZeHyleEFgdAjpHUdJihPH0 cns5SI0eH3zwgarQGhxUV5RuQ2y8kkbfl34lhXZcqsFHx+FGJ+x4VU5BdHFbh04djqA5SC0aeWJ1 DTYFGg8BHf+xkuDkt6cQUeeaPC/xrti6YuS0vZ84Z6+VezkhJh0M1njJry4m6diVJlF4gzYSW3oO 8eMviDekrDbCM2Obrh3GK2VSCgJBYD4EWo9w5OqOBt2cPk6Y7q925+tf/7qqUJSmDDWoNBgiWle2 clyOaxFTGGcYQ3C91Y5LNfigC2k9bDJe6RQEGYLhiNw9zVvJ8pfBCi9wpNlT1RR5Yr5mlJzOEQF3 PZAMmOk9WM+j210XBHTj1n9D2TfQFfGBU0WuQ/k6/EEu6aRJx6brbkLUeqg8RwDDcxAIAjsQwIul XxlJPvnkk62UyATO6K0r26LUcS1/GUP4ZdjpjEsOPuoe0DrUJgsLFQQUU0ZRwZDV7qgicJAgzrL6 77kcKU+U1qW1DlORspCmA3bCV3rmcRkrZbVrUJVFI14v1Lk/12ak8c7wvIp5q4za7Gn4I/1zzz1n 4MUXX6wUxoV3aamxMth6B8GmK0Y6Z3lx7ixEOoW6Ks2SKvRBeZWHyqVBFH56IkD/verOiJ4phOx8 EWBuRtlQ8ybjJ0dqa4K/du0aOoMdpeu4sr2K8ioXsbv91SqU1KNz7qv8kW/P+mgXHKp/y6uJf6dw kXEEhwhZ5YxPl2eju+/QN5wXsejOhb/lbe0InjejtKkVtqPkpcMZfav59GSY8panOYts8XtGPwsy +4nFNGypDVsp9b51xQiMNrbWP6BFll7ZvzzWdew6Sbnc21VeLY1fywvhWYAZJjsI2Ei2epy8Cqv1 dbG0ipqMhaJ14llDyq1bt9o5W5oXXnihXjpul2dPRydHiZasHXzYb+3IATUo1XXtHXdk/WeHXw90 R1ctxda9rik4hjLy1gaM3aAGUH2ySl9646Nz3xHRjMiXXMBi0mmPvChvuZA7aJjYW/bWF2zNNCPm pTwBG1aZSntbZwkcnQnsEuSJvfVyFUGBc3QKibh6BDxAVF27lUc78wqjK8TlsNyOH4Fy9S1kUQU8 1Cf3kfsdyjhctkbfQIWC9uaee+7xJfcC0+550JOoP/GIHa7TvNSYNyh8nL1GOVzbEbi0aKNWyIWt qWKsQzbWX0rn9hKaq4mu5QVeFGIgxrGCKfKqM5C0HvICOrLrWAmNBdda02H3kUmiTDLXWsyUayAC DEe1EU5SDFYuSOh6bIJgrEPvw4kk3VDDnaeffppPJXbwVau9gWwkehDYi8AR1guD5AnuSIUntmrY 1DHMg7kp/YGn2PUCN8Rtfa/SVRAsOtfT7S3bQQTuQLP3Y448mLxW+KCkdhOTrATslNPnp3Mlq9Ti rtukeXkhb2sZRLgshkaEbmVJeeliTyvolZU9xemPAMsqhmlkCO+ERABFDGUwvP/++2swYajEXJfl ENrp2mhvrfbSH/sDHsqjEWBAO9Sf5iB5AkZRPNDuW46ZU3m52/EOnapV9B1d4K0REV/QkfDJOdjT d9i+bTWeH5I1qwRGAVJgYcGyA2XMRL4LKYhKIJYsU+clIOgnsAwqK6EpRLEhyM8c1wPcPTPdTdze Pqwpq8+hLccj5j1ZCtlCEKDKtDBj9NPM7caNG+q3GakYQ8qDIYMVegjeQyDzrdXehffHhdTmzGwc 5AeiP2/l56Z/lF2Ux+3W1AE5A2UzoYTBr/KEm38lWxgoazUE84mMy9prW83u0H2gPrC0aQrxiPYT 7V5pwStXo+RVJiyqW0nTG2xNXBPL1kqozbqMesrq5yCbnT7YLoqmrHD6cLWbuLVdrU108e+TeGjO F4HWgL16d/U4G0MZfm1aoWnIOe4gc75gXibno58qEMYRjxFkFLvMlrm91O7UXggiNb6XQKyA2Epy ZaPqJ4Utx3qNkUtW5muHuOaGFs+t8gQEIt9uk1cWJYK3FtDKfOQuAws5V3UhLWfEYlZ7mGLBMyKf SWpSBKqPbw5BNSZ4D4ACqOu3Go5a3url5jEiYrloLGnVBXAryw6ULYbud8h9nhUggModxQNbUVOX ZdP7xdYcy/PrRPywP1VTPjYi9DH9wKgq0OoNQ5/qt2x5eLYWFTR9kk0oaDCbsIdrFdQSa33cHtAi wTIz6hRKq+HWsWZlQUDveFSNzuxq9OGvWvFNu412MyXhKRAYpVlSg/I2Smq7E5kChKS5F4E+NVt9 nA2vq9xl2scZoxiCsFlsh6M2C08PQYwlXOd8ALHYwtYiWDGi3Wbt+Mfsw/YmTeSJ43BbYSwbWc2I k5ZQNYDT81UZzeNhWoMj/WrTu7ZavekNk56M3RyPnVArYy1wWy8RRcx7IG07LYlfZbCJLd6XX34p FOVY0yyKPRYcnu5pRwEkoa0ATrqcSuJjdRPFQZ5DDd+O6J6ptZMg0LOmygPmbneZdYKsMxxVLoww jAlbjauQJBiONNxBDOpcRbbpH7Mn5y1Z5IkjQEuUQQi0UjMTJP2Hxk1rLreb7W1YWiG1uoryzUqg 9dPaXntzNH8dqzd91VUPV83YXtPH1F4zQUvMGZzyK7f30AelQI3BycCejjWPLl0iBoEgsHAE+rvL 3ByOLBpLGnSZm6pQNLIMXwxNP/3pT1V/dqDo+Mc8BqiTiGzJNAiUNy01b2XRWVa67uSVx8naaW5t eMs9Gqm50VjbgXsRdp+iYyysUQLv3Vks22He1Kbj448/bk+TPcO1tekeSmtPJycUsLVy6ByAkqay q+gVKDd2JF56i9bueG95QxAEgsACEej08c4QVPYTGr+3JlOOPHp76hwF2HoyQDUqg0Z7fsIxhE8G aug7DqjYYx6HW2INRaAjT5icM7ESQ2slxPsyWGsthpzUNX2n40kz0aGhoQVO/CAQBILABAi4mmoT PpV5b/Y7jlHqJM4UCFx1V439pN1gLgMCZAvNl/buKUzBcNIMAkEgCJwcAXaQa6vC+y9nMMfZXuoJ pKUkGQT2INB6vzCMiN1q4byERd2DDbcE8PZN54Cl+sBWmZGaCAJBIAgEgXkQuFMlc54gsDQEsNBs LR+Xxl74CQJBIAgcjQBW5+hZDxriiML5jt26WPQTeG32INhxDxpfTrGxujtC6Zv9juMwT6wJEVBl 500ieYJAEFgZAnTwXGl2xOWRRGGO340eOx1DhAlaGtF3X5exozVGnlhZV11DcegSqM1GOLy0BjBS hiAwOQKctS6/TNP5kUPjaEkGLqAnh2P6DEC7Lo/Uvx/gePqdgHXhsgodhmG/4liCs+V6wdmM+MQT T0CjrGYiOqIwhTI7M8028aJsi16c9Mcj8kR/rEI5PgL2ioPSrVHpoFghDgJB4CoEcKtVx6auX78+ EVCl2x+4gJ6IvdmSZcRjN8FT3603TP6iGEAv6+k2/mJbVq57VRvgVcKTcdxACwGU+v0z4uuvv+6h ULLQWyAOWMlCm7Pav8DDLwxgfMbFmdDjlBOC8pdTOLTOf3uCE3miJ1AhmwQBmvim3m+3Qu+gHcdJ mE6iQWClCND10A668CXs5ZPlIN8lcn0FA5ew5YCu45WuCHhPamo+RvdBd3ZVwSKKcU/966ZD3vJD 1XHd2ynmjohQqopABEFu4K5a9BntNeB8RV7B5xVONiFD5th6+fam89+9UEee2AtRCCZEgIGGVutY 4zils0gVeqpheUOgRi71EyoDea/ujpfRW0xYT0l67Qgw8dCPvG5GEZ/5jDmPVSx/6yCVy1+WxcxP SBsPPfQQ4VdeeYVZkCmKmen73/++y2s6Jj1XAtYAdYLR9Tcrb1bJOJkmR/52fD+vHexfC1VO+Udf Q787IvIKt3WQvnd5gPBrr73WOuHWt95uG47W+W/fGpnnGElyCQJbEUDPpis32itjlqo8f71vU/dW +oyDzL/l88pP0J/Kf0uqNQisA4FyNWtx6nod+hqdyy5WfRMCHcKWBznvrjQufbkuw9y8UFdx5JJ9 0Ln74I5G6w1Toa087XZc9z711FPtVxHmTbkG5m+lXGfvHUiVBso/b3u/qJy0nnaLjZaBno08+om+ glfoJkWABs1iCN/ylQtXZKGR470bhCx06pN7h76EjAAWXpOyt6bEyxpLm6wj9DoedduNyTw2/KXT gplWkb6VN4iPKOyaqn5vWdAisIrlYXf/jTfe8AY79tc3F7L0Su6X4pNplsK89UoHweau/El80Knp pE3KrS3fcCk+C5xqSL5RFTpiy2EbQrsHrc5R3qgq8H4NdTkGnMUN/OhHP2q/Ui+bESvlutyRNybL U/YT9ZVM5URmtGspNloG9rYcCSJP9AQqZCdAwMXN5kWjDF5evsXjTd95+iPAaFJqIUeZQ01i5zm3 1qdEquLZHYOY0ZAwRbvq3Hzdzdgn5YuiYbp1v4MHIZ4ZhYddDEEAT7dCPMIN2vxFfw4NfZMwYj2W faRAQ6JvQslLe6jCq7uZEDA3s8fhPb3UHXlBzFQNcU32oyMPD+yn0NSVfuqmb1hCdHBybTdcEKR4 Q1uSJUYYJ/LRGVthgj31GCELAlMgoJ7tW9/6Fr+q13ijx0xGH7+W2q1UfO5x+KlUfFOwt9Y0W3mC Mqqp7kBasFd1ALhKbwKtEnUzolemecebg2bnfoERgXVfzO0w5QlLJLdVLq9B8joly1t63RGZWX1S 7bU751VYTzTAc93v0+6cthdotQS29lwJ1LOuo59YoYx4RkVSz/aP//iPrgDURqjuY93g11K7lYqP hZGaOj6Viu+MSr00Vlk+znBubbpSYwxI2yhzMxfBzB+sfd2XKS0X62BsBjmDx3tW2Daz+FbqWTUA hdLiHB3NwTlCJDXeKSm1j3IFDUqru2oVog4v0EynPukJfn+yrc4k+kcfQhl5Ygh6iRsE1oAAA+gM 59YmRQr5EkFBYxpPwTFVMIW89dZbrVEOC81yfoBswcjLBFlln5TDFSR+XrJ72QkhTLScb26HoYRo t/zwwOHWT0lOrHBsVGfx1O1I83MbeWJ+zJNjEFgQAoykrNdnOLc2dZnZAve4IwJEmQFeu3atbAY7 DNR5hHhinbpqTpJ+a5MoA7RzmwcShpYTqqaQNgiXibH6UXZA2obRSqUnKQ6ZalDMs+nJg6/KQOpR EKwrrMFpe1h0Qv577ouELAhMhICHl1giEGh3MSfKLsm297iCfGG+efzMhc5Y59amQL4umzVxzTsI OGK6X655RxWkClUmIEbJs1YEqpFURdseLG8ZadlsPPhqwBbVEp8WohoqtfyoI751mrd6gZ80L9OK qKTnSYvwG0wnzSOJB4HdCJyvkVdqNghcIAJMUcxPCppMbK23Ay1efX92yJSQsUzOy+8OA6aYw6ee PJQwSp4oy9MSmucpWvY7JtT9JOmDENBXJlHqHhoPdHnerC7LKee+dYL8oFxCHASCwEAE2BFg9sJg hemKk6KeBSWMGSwvNaM+4rbrgVwNj16areFJzZBC68kDtD/++OOtmZavvxlYin5imZLoZXFVzvjU vXs6SxncMF3CM4HK3XW+MW4xL6uhpLSLQcA+6B6lZ3HVwHeOIi+G3zUwouKnfkv3YNkUFzyqzeNO TfnfnGe/I/qJOYS25HEQAp7gwrzOI6P60tF0n5OBZTaFC78zMro+CIEQB4GzQIA1MYaKqA9dHE93 1/lZoDE1k56cr99yfGm+ShVcMWpAq9Lyv7npFXAKbiNPTIFq0hyEAFICPaE6QHUPE0XIYCWkVLEE o+tBRU3kIHCeCOhPk90N5i1+dY3PqV3OWHIENy49zrNWh3J953ntGA0tbuIvDwGGHpzvalPNIIW+ lCFJayNUdlzMoTdlrsP5u7/7O3R9iOeciUJj4dUemlzsvihveYUOR0HgvBFAFTHPkve8Ybow7qOf uLAKX15xy9WMZlz4/9dxoZKuX3nqOhxeqsqr4YyNj+UVKxwFgdUiUJdxrLaEKdhRCEQ/cRRsiTQZ AqorTB4txTlaiU+GTRIOAmeMAF37o48+YjFwxmUI6zsRiH4iDWRZCJRCAg1EhIll1U24CQINAn2u rYe8vbk+wsS6W1D0E+uu37WVDtcUuTh4bZWa8gSBILAKBKKfWEU1XkwhIkxcTFWnoHMj4AVa3hBR fuRgAj0EOgYebDAJSyNBeZkzlldIEIXbIgx/8MEHkvHSN3zq3EMxdzmT32QIRJ6YDNok3A+BGnrq PkAGphq8yjMmZFK2AxxkDlI5n9YP7FAFgSsRYHsR51R4f0Fqx9MlG47ctEmn81Q2WxW8xCuMhtLY TXPYit+KQix9KNVd8FB+/etf9/4UZAiObvFwuJTLwb04nt5d7mRSMStAIPLECirxvItQpzm8D5BB ioMbOvTl4AZXAjKKMQzhzwrfLB4rrQEOMi/7yZXT590Iwv1iEOCENry0fuS4oJXj2YrsSBj8InN8 8cUXxbJRPLmN9NB+KhrlBqyjPAruxfExkFpMtY/DSOSJcXBMKsch0FmdsF5x1UJqiA7eF8wbfltX mDXAsXhC2mjvvDmOjcQKAkGgg0D5kdMh4xtvvFEEdEA0Ex16+rLmlnxC/dD5iujA4Q77daBeKwKR J9Zas+dRLkaZGnoYj9BGsGrZy3oNcB9++GE8We2FKwRBoA8CaCBwbYk3OYjRGpa5gwGVgigqCKOf wME2PRfhoKLwlU/8RVGBiG8suqcE7HEYl5QhIC7bmhL34S00Z4FAznecRTWtmUl0DDjrpYTsXJTn CQuMUtQxi7A3DzEA+csbN2sZpCSOp9e2lWhokmc6BC6wvdFV2XY8yZnP823PF9VOIk9MN+Ak5SAQ BILAehBwUo+XufXU6NgliTwxNqJJLwgEgSAQBILA5SEQ+4nLq/OUOAgEgSBwCAIezC7raW0j2gR0 RHG+uxKHgBHaKxGIPJHGEQSCQBAIArsQwGYCYyYpkC30JNGaUnJgu+7wC5QXi0DkiYut+rMpOEsf hrCzYTeMBoFVI8BhUQ5h8bSHvTGpbpUT+qYrf5r81UndqoFJ4e6IPJFGcGIESlNKoMIMQAxGevDl 0AeHOLivXIVqrYr8is25zjRPXIw1Zg+qIGy9tOUD+YUc89P9s+y1jWdrbejmeY0VdfoyoZxAY1Hw cg6cv7QfzotyPovDpRwZPcnBEKFxrFCgKae6tmE+dUYPCdqmwhvGmdOjvHgOIk8svorWzqCefXlY 8TDoEOAg6I0bN3hP0fnLWXbePP3004QZm2pVhBcK/t5333333HMP7vzWjtPc5WN6xhkimHcO8cKH HsaW8DBd0TzkkPZDmGnsKq+LuEBYAs/nzsNV8Hb8XerVSqcy+Ik5YalpybRYWrJny/Hm6YCjR42t VwJ5yFM5lSLUofQTluIsso48cRbVtGYmW1FAX7x0eIUG3Oa0JWfRwPUB7RtkDiSPNaNzurIxH7z6 6quKdEwVm1ellD7g5HpsxIiO4kHNioypw6g1aK1HvQ4mGotDmxjTsCqrTcHCGdqHr4j7t2/ffuyx x057SYe7M7CE6xo4MQz/ugnffNSjsLbRiz8jjK5u8uxFIPLEXohCMDkCNdwwALkm2ByqeE+v7rzH Ibe+rfKMjgBQ6yTRGXfzqhTGZZdxrSv00dnokyA6KrgtjTRiBIImsinLSpsWfCq2eg0VK+a6s4qI uUxuL8hACnTgZktAIcSDcgjM68Y+mkpnhoaetkE7Ie7dd9+9N5cZCGoAQVbY7YoXz120KwqIPDQD YyvJQs1PniBwKgS80IuHVWbdxFFO5ZgVJLh582Z1OciKW9Ycp+L8QvJ1v4lfLPytI2oE2FUm6bf0 hFDADzy4Fwaf8mYL4Q3NhpeyBxlFIFDMV8M7If9nnTU4n7b2d6Bn++ShSUDmmZSir1ZhO9lMR4L2 thGbWZ4dCEQ/sRK58HyL4TKXB2UDj2HXlDysJyTQfqIoq7ytivV8QVgg53WshpUlq8zNq1IwslvU TWzshbnPTZOoDftr165xHmErvDWLeO1cniMQALrFXqDjfcU8HkVBZVUKCf5idLWjvChd3PVArUUK ytO5DXV/C4m0FQTOFAH1Fu2a40wLsky2AbZcDrAya7eQXbTdunWrxpdT1UIpt8RQ/YTyqBovwiyg /WtxLIi6Ft+fivll1vv6uGqlXptEq5ywVahlIfDmm29Wqy7Vi/LE+pAZvUTxt71f5ArFYhFga3+r efZiGQ5jQSAILBYBTEBKGF0sk0tmLPsdS66d8LYFAX1O8AGFfISJNJEgEATGQiDCxEAkI08MBDDR p0Vg8zhfKd53m2dPy1ZSDwJBIAgEgf+NQOSJtIgTIKA7Xh0D6HtO35ceP9PVAV95OGmGSKF7u85t Q76ExuidK4tOUKpkGQSCQBC4YASyXXTBlX/SouvsFuNwBAiMqJEwPO+H3TV3AaB49L2/UCIuYL2P YSAecrTN5oA4NthIErzkpDvOHHnJp5jrn7Rik3kQCAIXikD0Exda8Usoto5i9IeDQFC2+u5otE71 FT7KUF9hwiJgnv3FF18QQLbYfQZsCUUOD0EgCASBtSIQeWKtNXs25UL98NFHH+GKcQfHaC86lwkh OpRfATxDn01pw2gQCAJBYKUIZL9jpRW7+GKhctBVNmoJfN+yx9GyjNYBywkUFVwhoaKCv/yyJ6Lb OzdEyi8CWyFG8dPiSx8Gg0AQCAKrQ6Dj0WJ15UuBTozAVS5T2LyY2Y/QiYFI9kEgCASBtSCwdWCP fmIt1XtW5cBggvuEUDbknvGzqrcwGwSCQBC4EoHIE2kcQSAIBIEgEASCwFAEYo85FMHEPxoB/UYQ va6eOjqpRAwCQSAIBIHTIhD9xGnxv/Tcy73EpQOR8geBIBAEzhyB6CfOvAJXwb4+MSmKTjB1lFle MglAwFMvW9cUFctLPfIEgSCwcATo0agkF85k2DsCgcgTR4CWKCMj8NJLL5EiQ4z3CHPyEx+XuJcg jOeJRx55hHOh77777n333edLZQuZ4Nwp50R4nn/++ZHZSnJB4DIQoEOVKN8R1kcEoO7iuf/++3P5 zojALiepyBPLqYtL54QhBnGBce2rX/0qYgTOJAjzi/tLToLwUj+YPA899FD5x4SSN8TVL0WeIBAE DkWAY1Z0MU8A6rd+iqduA44wMQW8S0gz8sQSaiE8/BoB9BNPPvkkIxqXevAXLYUDXI0++MHUYxVP udZGzsC9Jm8YEINjEAgCQxBgJwJHtJ2L+vzLQw9tr/Ejo86dfPx97rnnJNZHvgT8umtpN5eAlUB7 +d8QthN3KQhc5W4o74PA1Ah4T0fdyvH+++9Xr2D/ou4lf/zxx3nvVojEJWrwptQSM3vHmhqcJaSv iOZ2UssP+FMRS+DQ9iB7df8LTWIrbxC3LWcJ/C+Hh+p6ssRfAz/+8Y/9FWcwtOppG7y0V/IJzHlT 7YQwUNuLq4yqQPzlPemYbL2cDg2YqTGEXNq/hjvt2VGlSkpYHPLsRuA3jSYwBYGTI1A9ls6c3nvy 6qjJoCbsYsl55eQc1oTXTn47xEraVeSJq2qtpnkJdF/Lo0t7/vJrvYswSPKmDJ54WTsmihcStB1Z AisLeghKIpm0XkogNmt4q0ZSLbmYt/gWgQAcStwhWEjjXxob2e9YiqIofGASoSKUu0aXc+d46Xg9 gXLoUz42Do14cnp2l7g8xSGYLSeP26j0lrdSXB+HzIgFZNAvWz+T1cBQxlTXl5khlIatmk7EEbk6 x6TY7AAWngcffPCNN97gYh32E7FqcguyfTC52Honn1bVxIIYgg8//LATkYnZJiTNDA+t1z1ThCE2 WW7fvo1zXtsGjVwDLMac4oQGA5PyCf9eNwiBlHl2IbA0ASf8BIFFIcAYpL5k9wIFgqt0KpOuvSbF yh2E4t+/rthKP+EwPSkbuxOHHypI5bm8uSxWZe0nU/CNzJeuYv57ZE6I1Q7lRDtJ1BrdJl07knSB CteqnYgqKmwJrVk00d1NqIhWjXmpBrCBmcjUyLQN1e0YcpTzdo+MT+ow1MoUCFfto03N9hmln/2O M6qssHoCBEqpa96OhqpqHQSdohwZb926ZaD0wG4kV0SH0Xo0UGi3ac2uxt8TFHgjS5XSzg01Z9fM 0U7YJ+FW0YGsAa108s4BvLl582ZNVK0M0Zn2TsL5OWZ6RuJXx7Kqdj1KuLRh2GZaob/CChYl9Jxj fc3Mc/Y7Wrk84SDQRQAN8KeffqqLLb699tprdFFUtXfffbfSAOMRamFnXDSlrrqIAj3HVXCb4ZkU 3GO41KvdAQhwvMFLlMm8JMzgxcXr5EgAhTPEJ3T7U07QKSnFQfHbUXp//PHHtdZcQrsBatCDk3vv vbfU7NeuXUNdv5W9UjgtZ3NtCTDu4IEm8corr9CqF86n7NFJnU3Z7GCrgv7VnlPl8DluMOxfvPeM ekXkPX85l24itPO4t+lV6TPLL8kuCOxAwNW8i3ibLz1Zs3wnbxedBOY3j2oXKzImDy7ZN3Xsrnsg MGIRl9K1Xeqprrd0RVwpnKTNuGizFjTKqwHFKihlDOEdVpCTMl+aIXMpxKrxKMP5t/TqhksYOhXz kyKTxAuBVuqtLZhSQtiY/WtLLp2ELYqXp93RO6OqzP0dvaSuEM2DAEt2FAD4vWGh/9hjj5GpS3xn WQypsPBiNclX1kklc0zKG3k988wzLFNkCX7qjnUvH1FvgTFpucTAj+eNGzdYJfMeZYNkaDgoAmt6 KHnJJxUVFUYHgAJAYn8hiCfBSSs3iQeBFgE66TyjymphPyPZJ6yuHgEX+q7pXTW6OHb1oKmdK8vZ jBy1ZqgVTK11XPXWCt73nSW7o4bGEC50OmqVztoIAvUxlfL8apjVt7EUMAgEgYkQiDi2WknxHAvG Wt/lO8oA1vcu7tFP8BelBet1dAAqMDjmV+57z7Gk4TkInC8C9ETOEtM3sQ1yd0DJGInfu3h8P9uJ 0PNFcmWcR55YWYWed3HQN6qQaEcozn/XOh4ZglFMAtbxm8fiz7v84T4InAkCdFWkByyRWQDooIK9 PGR97BbbPcEzKU3YHAeBnO8YB8ekMgoCauFY1rS22Sr/ea9CAsMCySJMjIJ5EgkCRyCAiM+xCEyF sPvRooiwgdY31BEpJ8r5IjCCPKGbOS+AqZtjfvSjH+lKTyd6MwNUt9GQryx5Oc24DweKKuXWH98o uci2SbU36PBXT4VD/PpVNZXHQ9LsczRR+rry58UXX+z4TByl7J1E4Bb1aV1QPkUWI6ape8GtCdJg pmiHIzKfpGZAgLHiXBrzXjTQSbAvSYkIQDzdXed7OQnBIhAYxS5DKzmTIjCDp7PdbJf/Ps+5ydXo 3s2ov/Lxbi7jWs9VajJftooeLBzyePzJ84odNy+7ky3nRZpGQuxpySHMJG4hMJuRaTA/FQKewj3o /OEyu5izl2NUndr1qDPvcwT3VA3stPmOoJ/YKha5hmbJ63210JQaY04v6EjNnuJjS08Jeqyn9fGu wx9SnkjRh/If7yukrwOWRx99dIhygnTanQKUlhgoWFmqW0rpYnhgXv0B35GRn8qpVP80h1OSNTiw 8OLXVm0DVjFDq1Y1BXoQ2Np5uTWWL4m7SeaFzqhhXOGNru4ajkNSGAWBjz76iN6HibGp1ajoIFnX fxumSaDopb/z2MDm7I+7y6sk4QYHY4jTGCOV25Gt56hRcEsiZ4HAaPIEQ6EjrN4AH3nkEctfbsUI uKjlaP5s0DDTb15IM0ruTCoMCpSIW3PsPJR9oh19kuUCGwrixTZ0Vxy3jXgJE6OAZxSpHcpF+hTN 7Q+HjD5bIcNR3XFew0+tS6Xh2fVMgXaLrwsAcQ6AB2Q7Rnb1OnzFBo0VJ/WCdwpqSia3xrIvACbV B7D8LTJA5jALY7RuJ8pXZk8mQ3YuCLC88dSDUimd2qsiaDbIFjYM2pvOGSF4+umndZVmAefsjzsg pf3D9ohD0LlUX/jcjcBo8kS737E1y3I6VrL5DHXDKE92zPQI+KN71WVc0JMrBWETUXfLUxSKgQb0 yKjmdZ1AT5GXznRRtHzyySemTxgr7inyIk0XYRTQxT1hNQH8qi/RHKFMSYjSXnTpcm3qXVuELecA fU+BhpVO7VMv/LpK8zLGAmozlp8gwy00nNcpFWK1RbBmeYl4Macyb6IqTrItAgxEVr3qUlylUcus FlA9clBCSsZSZFYOZNJOqgFUH5y0P/asLORmJBu7Q/+nPLj3jxLK80JgNHlib7HdV+OZaFPgKgYY 6zvegvey2oeA4b58vDPh6bdxotGfFTDZ0YfRhRRvul+c6EEI4+KDkvxQ80yUkYswoGNgJVBXV9BI WKOzbmOQ5Ws1Hmncr/XWDFWsE7F3VbJkiuKarzIGtwdZ2JWB0db02+sncoJ/5pqdNDsXBlodqTdF WetOAVJp5/pvNw5Km0sfnKE/HlR85P4+I15r632oCHIQPyE+PQLDzTdaj4HlKl9nyVr8EbALWdrR 7SI3i2BG5Gju45pJml3r452/5niQmdVu5MtJYgudelHzGlhxlY7qVlGql5pY6vyxLZRZe+sSzwsv vGDgaPMr52N4KCeYVlbZitbdm7xU8atzTAO+GQjF7ujl+gI+2/ss2oILoKXw/dZYZapmOvxtyeqa kmpOQ4omG3mmQ+DQVucAqChZvbt6nM3e9sDLaki2c7vYZn88lIfzpZ+uHqdO+XwxP4LzodPS3izt GHvJQrAEBGaYnrcW08uv3TLbK09IPJs8sYR6CQ9rRaBExpOfias1Et1Qb/eKvEo/sKfj+ZKEJPDX KCVtt0ug999/v9YbztwUWdGZZ4qV3lqbylmUa9qZXul7xFX7WWB6pkx2NC4zlKJdhNVgVGqAWr47 hD3++OOOR5tWmaoujtaRzFDSZBEEtiJQG3lLkCdKdCCgcO8CQ2FCKUEJwBPs/iptWDr7Zq0NfKmu sTSOpGDHV+Myg7o6bW82BKa1n2C3jJJMdOphaj3VpaVfLilnK3jliIUEJziq0Rtm/9gtZI2/Xn/9 dQlsVO0Dw7zMEbXZKi4ZjYVAOXtdjmEBlqGUzhtx2dnUnTYBjcGvX7/OL2ZPnmD3MYrW6MgN7aei aU2YXTPQYWMeNFZDWkg608oTCylk2AgCQxDg8EX/o3G7ictsU08D9fSxa2uLsMML55CSJm4QKARK fFe+b43BkTBwWtPBijasVMQnvQa0T8eEOTivE4HZNCHJKAicKQLlDLQP/7uJWxPL2jwum+U+6Ycm CEyEQGszUS4vy46+dYPRhpkXaxPEOVJzacO3bt2SoDY3y7DULc5yNDBRoZLsnAhMaz8xZ0mSVxA4 CIGyt2dQc7Dr2N6TmqNq7RA7REqsNVlrg9YhLlv9lqut8gQEdXTFLHhTWcgYvx5sceyuvzKQTeiD qj7ExyGgLcVxcRPrEhDIfsc61U4p1V4Eyq0FQyQOJJiScSTV8QqKDwwnbx62PPSJiUsAouj3AlWw kz3K3g7xpo9LEucOxq2M6RUed5lkh/hCXpUFAVwbwR6ukCDQ85WZ8tcN+OxD763uEAxHgBbYutga nmBSWBkCkSdWVqEpzmEIuOPL3K9MsNULoc5UkDbwY8ijrcODDz7Ib9mgVa5FzJuOj8uOA82WUaze vvzyS9+Qsi4yzaLY04RNPivuEd7hvBe3niPuZ+njyKjnjbWH1dYGtVdaKAV2ruHdTFkfrANzvOTo rrDPUXjtXIhj47crGW6vFOjck0Lc2ZpN3ecCPwe5yNvaLHc7JLW/HGq5tbv9R5645PEhZe8i0PFC qFlZCRkeSW3vGSkbNMha4oN8XNKxWfZxUwNKiHLfPl3dMB94fq+mh0P9xHPihkR2SwzznLiBE5Tw CHnAhbClC7urJjx9sOY5AoH2Jjyi13xcSZUwd0TiU0fxriVaO2ak5FWKRpo9R1Hc1tTdrQ9LgtJK 8ne2CyLgEw2QvZJ7D8r/+tH40CN2nBvia/mfPDqLbsRL2NRJGYPAJgJuGZQBhAFtFAg43UpTTjzt POUJA4I2+lbiMphgzGqtHFp/G6Qpe5VCGa9VoIzXIC69RTncPLR+W3mCuOW2SEDKSZHlLacChv1a Bnd6IOhEFCLFLxMZ4utzd+n0bKZZn/KEJZJb94+sRP0ilA2KRYg9YM/GU74ibAOdJjRd/fZkby+Z TvDssxJXgPebFkhlKdJxp7E3o6MJNKJqo1f3pw13nIDZwvnt2IG1Tn342lrOtonbKco34FgdIfaY R9d+IgaBc0WgMxkoQ5Rrcy3wHX0cknicj6UpR0btvAJBG3HTi9FEYDkZkJ2ChedrfMkoWTyTe7lR av2xyudEvK0p2ZInNufjkhqrvEJd/jSdkk9oy1ki8qY8objc4U0h2OLMJk/YhquhFlfafW86AVMm aDsp0W3bcl72s629Oe/tI9ZalW6UjpD9DltOniBwuQhg1LlpOFKmox0Tkw5MOyJC2fFiNB3EbHxg naqKuL2g9a233mpvzisbFMjYn0Jvz+Xg012fO115l5ays1TZGbinhuUB9cJ0yGWqKPBn9tnV2kag 24dDLw7sbId5B6FbIfVAzPzaGlXMA7gNuHYk4Y0mWhsutl75B2r0lKXmhFKbbog7BaQUWFkpUfnQ 4CVWIhmxI0SemKedJJcgsFAE2EVmuDn6+srdEef0YsRI6k11rfEK1+R2poqqhvL/wUmfhdbNItm6 yjyl4+9Sr1ZM6rQuL1Od+Sn3u+U5V+NlmgdTLE8VhMBmoSDb9Nk1aRGw2yg/pGYEk57z2prv1naL DNcRgzAN4YbqTgrWiOL+mB1hTRq5lCUIBIG9CNQOq0NMGWaW4UgZFmw1MXnqqaeIpfqagPpS06mI LoY6Xoz2MnYEQa26jOvWfqnf1R6X0Zl8VqHKBCT7HX2Q320/Ufi3SblZ1u6C9clodJpqJFXRtnwb TIVtNkVcOyBbHcmMzqQJtloELa46ckDZUdXNLxKUoqKiVNFu3rxZidRWSJlfuLMpwfCOcGf1va0S UF4GgSAQBILAhSPAmQiWzkxCbhl42JK5gzONbDOx/PWIDRNSe42O54bY8oC+82mZeMJnJsQhVRP4 hqCXuEEgCASBy0UAeQLNeW58vNwW8L9LHnkiLSEIBIEgEASCQBAYikDsMYcimPhBIAgEgSAQBCZC QH+dXlzcurP0AMv8h1B2FDPyxERtIMkGgSAQBIJAEBiEADIEJ02w6vD4Eg49KznOfYzv4HIQs3dE nhiGX2IHgSAQBIJAEJgGAe4C1G+Hx18xd/UuEu8FrKcuKEH+IMxT13+o3uC9n/w7DbN3xH5iImCT bBAIAkEgCASBQQjgt6q9MMi0kAnww4Z4QQCvFXiYwD8VDuj0JIG4wLlQvVawJ8J9yBjMIklwNodP nA7FhJZY7UmcQSw2kaOfGAvJpBMEgkAQCAJBYFoEOp4xyax1CIsAgVRRLrDYH0HyUMLwE16wWo+x 4/IaeWJcPJNaEAgCQSAIBIFxEHjooYfYpyi1hLsYHc+Yu28zbm8SHoenHal0/HxNnl8yuDAEJnIk d0SyFwZ8ihsEgsDpEThipOpEKaPLuqLPUpWPy9YhrMTt9WYVve4BNu5wxjZTiP3E6RtcOAgCQSAI BIEgcO4IZL/j3Gsw/AeBIBAEgkAQOD0CkSdOXwfhIAgEgSAQBILAuSMQeeLcazD8B4EgEASCwNkj oH+Ig4pBlL3+MTHhLF8UByV+BHHsJ44ALVGCQBAIAkEgCIyMwFZvE3vzQKTABYVur077RD9xWvyT exAIAkEgCFw6AmgmECZEAa2DHjC9oYP35f7SCzskrvs7uCweV9woITYjQkYU9ROGvUSeMMS+Nx2d ZnpLyNGV8X9eeOGFoyMnYhAIAkEgCASBIDAEAabwp5566sEHH/yHf/iHv/zLv/z7v/97fFn+8z// 8+///u//wR/8wZ/+6Z+++eabX3755SeffPLaa68hPfzbv/3bP/3TPxGFl3/yJ3/y8MMP4xzzL/7i LzYj4szqt3/7t3/nd37n3//933/v937vX/7lX0j/r//6r//7v/8bhv/mb/6G39/93d/98z//czxf PfHEE2Tny+Oe6CeOwy2xgkAQCAJBIAiMgAAOLu+66y7v5qgbv/Bk9dlnn5H6/fffbx7PP/88v7iR wP0lAkcn4x0RoTQpnm984xtQci0IKo26rVTf23tNMfYWNfLEXohCEASCQBAIAkFgQgQ+/vhjUkdK QLB45513zIlbOfpnuTsiSb333numBiUZ4Y2Kqz0q/SeffBLNR8fzZv/cf0M5hZOspBkEgsAKENAB 38/+52mLwxKnnPietpi6/JM9fh3UuKpgK1cQw/lpGU7uJ0HAlqzXSJpHhflLk+Bv256rIclqG3ci 5mWJh7xgshxZygkvKyAz8vytb32r/Yr3zM2IlXJbkHqpw816hnfqOyYCKMkGgSBw1ggwhDn+1oRd xeHT8KFnLHAYE+HQ1Ah3RJ82F4bRyBNjwX5G6VDviphV+7QT23a15Nb/tG1bmqKcyEH1cmAEoo54 cQRv2e84WKOTCEHgEhBAKcomq1M126uajmtebvEJ+GaIQfgoSDIOlm28CZY9PGEM2rWW95PW8gQw btd4fhQekshiEcDagAdbAVT6HSZp5NoQYNJYn3yD5p8NgrvvvtvbO1uCxZb0aMboIxRw6GbHHXdE nji6ChIxCKwZAYZgjMlrxuV0u0rXzz//3GIjZKi9cMA94YNxO9yW0x7km5deeon1Vlmcwaf2a+xM Y9TG0MmcQel4T8ThZmgnLHuy7oMAVYyCgRrvEFP7mD3SyJ955pn61Jo6aqgIwcsvv9wnozOloXSb Bp5HlCXyxBGgJUoQuAgElBhY1XlUnUnazQUfj63XXuxpEWFARFDQiF35hqmCKeStt97iNufiDY23 M4SyBfxzoK4kpNMWIbmPi0C5VUCYsCVfNWUiKOuVwef69esq3tRn0H5o9i3BuHy2vWmgaIuybQif A51PUJDIE1O0jaQZBM4eAYY2NzJU+X744YedJRoW6a14cfICv/vuuygknADgVn6uXbtWZu0dDmtH fLia9+RlDwObCCBQagFQEuTmnoXzNwRuiJgIqjhiYUVBw0CM5mQEgfo6EdQwUBeLH52FB0qPflgw HB33NxGPsLlIlCAQBFaPAIs2zch5UEJgm1ZjjUbmt27dqjc7rCAnBapjig+TciJj2pfVMG1xLAjh EoZOxfykyCTxQqAaiRVdGjX/1okJmw0v61iTKdiWxjVAth3CiXkp2pKFRtDmSJgmSkPVdNTHxuwZ ED7xtIaimpdWeSsiAciMexUCfNX4tApbefVvSznf0R+rUAaBIBAEgsBqEXC6nfrxAHZN9jXNKwqQ uwKBs7vEsoT8oViDcKBUpNBfB6Tbg1cdGcgEzcIoCiv81rGOOiolQeXVH5Dsd9QSK4EgEASCQBC4 XARKGzEpBBwqwXOUh6eweMDNdikCedMxVIKSu77kB7+WmPtotPSLX/xCYyA2SjrcbjVsQgRh10Zb Iu1IsGImwM4gG5qVQmlH2rz67/VEnpi05STxIBAEgkAQCAL/PwIadnDYxBNJHfOd1lBJS472/FRt u3zlK1+5CtO9hk3YXeqOkwASRskrnQQrr02R5crq7K/KCGUQCAJBIAgEgSAwBIEy3Cn7CabnMqRo DZXUW7RO2DrGQB2Cqwybym+mGZWBhRslrc9NCGSg3HQS7l/YO+fR8EQ6DQJBIAgEgSAQBFaMQPY7 Vly5KVoQCAJBIAgEgZkQiDwxE9DJJggEgSAQBILAihGIPLHiyk3RgkAQCAJB4GwQ8E4Zb8kp//FH c18u6bam4P07/c9u9GEj9hN9UApNEAgCQSAIBIEJEWBq1zkVeXDyArffnO+YML//uSqPi0sOOL6x j5voJ/YhlO9BIAgEgSAQBCZG4Pbt23X0A88QCBN1BQkTPw/OKup2XG/Q5VeVhtf/Ql9ReO99HKXz aBUeXrprgUa8aDfyxMRtJMkHgSAQBIJAENiHQPmZKJkACcPznLxBkeDtuEgJ/EXg4BQoBz5xX+GB T0544lXixo0bngLlvfdxENCZprfl8bDTgdsJaPCOxd8RL9qNPLGvkvM9CASBIBAEgsD0CDjlswGh 52xUFGgRuOjOnFuHmB3HmlBybxk0EHf2L5AeuAitfE5Aw4W6EuuXYsSLdiNPTN9GkkMQmB0Brbry TIfA7FW6ngxRwh96Mfd09Th1yv2r7bHHHuOC3BYZwmgdrrJv2HovLtqLDra4v0QD0WHDC3g1xhzz ot3+rq9CGQSCQBAIAutDQIW5T3tf5bglLT+PudD1KmBbLQLhugq1aqccYrZVpupCmopSfjZv3rxZ 0evmsHLHOe5Fuznf0V98DGUQCAJBYJ0IsK71miiUB1MfK1gnginVHXdkvyOtIAgEgSAQBH6NgMKE xv91NMC/OkXgt75Czy6+b+qMwHPPPScxL4sAMlJDZOGNiXgYwQMIRZw6OHcEop849xoM/0EgCASB oQjU6UH9H/DXAIIC+/T8Pvroo2jg33jjDV6+/PLLiAIcH8B+UJtBFOkY/bFPzw3aEPCVh8MIbN6X tkMViL+IERxn4KpukiWj0o4MLUbinxSB6CdOCn8yDwJBIAgsAAHNJmrTHct/FAk89913H3M/5nv1 CbNBJYY6f8ge/BdffMFLhYk6koAw4TmC9nGD//7779cY0GRVXeTZioAKIXU5rTtLj5Ueatk6KciR JyaFN4mfPQKl46UzH1EY9cBHREyUIDA/AugSaLE8aA5QRXCwkMMF7733HgqJDjPoGJAV+OT7u+66 y0B7JAECzxG0D4KLU+CIbhnnB2q2HBl29BXBQVBOfyi3+QBgXV8+Gz97MhrXgjepBYGVIaDTGPzW 7bZ7h4Bna9nLrH1lyKQ4q0Ggc1jAcjFz2KRr0oKswp7RKE9KqhnsLDXlEN1zBxURsnIBaRY80vBp NXiOWJDNYaeOZlg1mxUBAU8NR1YZ8PJURYzIYZvUHROlm2SDwDoQsB9WWRwN65CVw2id8rp165ZD pFEgowMrT7TDaKXm0ECH7wzNU3f7dVRNSjE/AjWBzZ/1Zea4dTWiiFDyhFKakpxSWp0LJVDDS8mI 01Vi9juWoigKH8tEAA0whmPsWej9vnzT3n333bU4Qy1sl2an005LFOiffPJJtJS4n+MNtmn2/9o3 gQCLNl6iTOYlYTo/Kk1yJIDC2T3sZcISri4QAVojHppp1RdY9uUUueMZ09GGX7Y/9MzNb+0lsT9C lWkw6yesa9lAmag4kScmAjbJrgcB5ntmfSQJOmTHN225ubW0WkiVt3xkDjo2K4yyokJKKC/9bC1D YMTNEWHSbr+euklJZkQAc0s6gm4q8syDwEMPPVQrEM/lkm/HMybyQdmpbFqlqJ/gmcFgJfLEPK0i uZwrAvRhpQF6I8L+bt+03MdT+xpEwb6dX8Zf4ro+4G8tDghI4MsdI8K42NVtQ7oBYLlzaPqFyY6I R/hUPpQN6DV9V4vTOjbYmpQ3NB6RS6KcOwL6yXBirvZvs7EJtXdv2pDqjXFPpSks/Sg8sBpBkmA8 IczChhMfqougUQmBjpPiMNSUCFInbnTywSeKgxJ0KiXTZW5KpdRBoCcCGjEx7nTMINzCLDe3ihFl P0G4jCo0htDSomNd1abskE06bcoTOT/2tiERIFDhnphIRomW4DhZ5GWJ8A6WGExjG3tQFa+DmCZh q7CdaD1gF+iYF1R53b7kL2TaQk3UE9eBcJUi9pgrq9AUJwjsR6CVJ2qsLDlGSahEJSUhN3GUIZR7 FIAckaWviI8//rgSlYO49PvZOorCkzUl7XXM3Z0/lOSUJzSSVfgoMfGonC83kkK2LQRU60wH4Iuw 75cGkAKEsgKs2nJsmR3huOSJem/cpZVoafxkv+PcNXnhPwgMRaDuJGR4cnecKQGNqKKGYgTeDxlP sfNAg8pX3By5zvNAfCfi66+/7iyOitW1IOaoQ7m8Oj7MsKNUCurWuNU9pmIPLTGcUBbel2ntqVTZ 0wEydcqaDIMkk/Ht27dVpBNG385LmhCAz7Bbf0Qx4QrmYRJW2TvAJVfZMG1NjQZfrjWOyO7Sokwr TzBOtftSlwZuyhsEzgIBJgCOqMgqc61hJmnf6C+Z8Zff1j2fX3dELHpEkM2bEsdFBptZJgk9NrbG rW+99VZrzY4k5I4yT8e0dlx+Vp8agiZI0khAWxmUsAGa0BKK37GTQGrUsycBREkF0HLfeZXcUI2H 1KaWkOqKk/7o9bFS0kFZ/zSHUI4mT+gHsH2ogOvXr2+9o30Ix33iamLjhTRlpdUnYn+ajvHX6DY7 FkF+6j4erWy8QWeIZVklaH1Rlj7tkqylryt/XnzxxUqhP3TrptzRe+kRtslFPbDEBMAqjaOtMrZ7 xdZhfndEhmBtTjsek6ZAQAeCpNwat167dq18OHYy3W1aOwWHprmmVRYGyKBNiQhYtOlwOzRl2p7b Acg9dD0EYkVJ/H6ickAARapABvJGEhrPVnEBv+AoYCCY4VQLgvuhABKFQjmAX4UPU/B8s/BYGzC1 F0WpSPO0dk/tZu1EG7cUUBWfG2xT2OzUeOeWsNm57zuw1rS/K7uk/lZ1Zb5URa4NyIEsJfpsvaaj KihjTLe9+VuGBVpOlCGFgaeeesqXZVexGVFDCk0WHOb6t7GDWkIZvRqrdrvN1J7izksVpApVJiAT 8ba1IFoYHGQAu8wuJqSOUVULVLeC45yQ7m0wVdE2ieK2bR6G5bwtjr1yhhJpj+K8Wbbbdh8tfgiU 9zyJ/doWZzOizFu66qeGy0akOqn7m637vr3YdghGtse05qpvW9qqznnsWcyueqzt/lBc9tI7Gds6 J7LZ6VgUkxcAlsnbXg73EpSXtLZdOviWwGFrrqQuUJ5w9G/PaNiMa8aqARSy6r1bY9VEsklW07OV XsPH3koMwXkhwFjhpCvb7VS3dcS/efOmLY2OX3avSyjyKs87TDFT9KksZxCeshq2MdA8PBqmWMwb x/86qVTTkO3KsboTUbnBpa8Dl0aprdygmGuD7MPwVTSj7XfY6NvnkUce8S/7mk66N27c2CQb/Q26 HVFz04gwuQ/ZHdjKIeqyBx54AJ8BqJtms9lBI6dLmdbJyXAA614Z6gjFIOmj/dNIjTCKvks2WKP1 crYbQNwOACIsEFszQ7Sm7sqzO0urcImwNZY2iYBJ9QEsf4sMkFFdMpp4lXP5yhxeuUlhUQiwYa9e XUsUBhAXCTQbxisbBu2Nr4QhePrpp50PLMVC+mPHycGiEB7CTK0ThiRyRFxnEMYQ9jvqxi8agPZA 7LnUTEoAGYImtLn/siMisTqXwb766qtsDpY5lDtBw8f5CeWJgrXUKbVBewTih0ZhZC8HQYA1uikN nZ9yUR/UwTw2O9UggEInJ4di0odePydsqH/yySfSl4Fen+irpLEDCzu/WCDaDzUz5Ne+7WWMhcBm LD9BRk8uN5qStfumHV+Zq4T0Ygv16KOPWvUaHDzzzDMIkaxMmDN2j/ibdq8nxFCPsXaH/s/ubf7+ 6ayS0vbASIJgoYd+ns3b3neUfXfEzmWwnsFpV/iM/LTDgZYWc8gTZYo1p90vIz7exAr90T2WayFM v8KcZwabHbpiSakWavQStS0VyQ9DtuMM9FbZ2zuF6pgZ0rAPsqAuTeNWrOb0lXkJlbWcMroIUavs aocBXdUxUunuEf9og9npit/HTSq5t7beh4og0zG/qJQRKxU04QrzT9YYhLEjptL1gFk3pxDmDep2 GtJf/dVf+RUylihIJJsRmQf5ROLlWFO9l3b07RQJQVkaHQ/OkM2STtwyDHFrTcVvmXcRnsd+otzX uNMhNKPbB3WMuUa32ensldYMJKo8Ayuu0imbDC1xTHzTfsfs/KoVPc8LL7wwEbwDSzdi9HJhSUnL MrFjZlibmvV+a6yytDAd/rZk7o/ad9paGLEsSeqECDhi1F64zal6XMduphqSO9+OYK093QkLkqxX iUDZ+w8p3Z2n2jE6XgJKzMkQYCXBImmgymsy7pJwEFgbAmgs7G50vZOv3b1/UqkFyx603xr0oIdQ G8qmO6o41sTQSICUw2/J2SrqmVMoF2tiwu+///6f/dmfQYYCxvW3uhl3DEl8hnOYa2s0E5SHKkYb PUJdDBFGEndNCLSnhtZUrpQlCCwWgdoLHnJIb8TS1WmCOrjouQDZI6wexcOK/laU0knXQQMZ8wxC nU73CENpXOZRWo8IUZLagcAc9hMTiFNJcnwEyv3L+EknxSAQBLYhoFkcz8mVE8WddlpeYsnOJlai bOQT0PgfF4X8sgdfpwn4axR9tSE3tJ8q2daEmZceiRrdTP58W5nePAeesMCuYojHPKzCd/jF6oNt 5Ik+KIXmohE4qJvtJu5cglz+ZDf9WO9GfE4fuhdd9xdc+BJ03n77bcL6kfRBwti81YI2rFTUHjSo KHN6Sj3HSqtD+0OYH3hLjj71hzyRJ4agl7gXgQBnefqXsycxY3R5BNKPTf8soJzVh+5BnIX4bBGo QwSUgGassFsXKWhC4VFn9BOcJsBagnbrEQMLzSf+skRmZ8TonICTgCMMxiVlCIjLYlriswXseMbB AU0AEhjLD8LtcXGvU1BXAfig1OoMvCqBNwT4xLPporvugqiI3gxSdzh0bjaRh6qICldeB5Qzu0FB 4DIRKHt7eosbuh3be2Dx4EbtENuvWie4ZYm2SbzVx2Xrfq71MFg+7MxCK2mPe8gYv8RtD4D4Vway CX2ZbXjmUpePxZnzXVl2usIsixmP8pWhSY0koi2xCJR74qtsULRTkdiBq6BzANGKRcMXBxAPEEnm kEigLGMIH+QINfqJA2SvkK4JAZb4NVvXZdwdr6AoAO2ZPMj49m18BtDPdVGHmsHJ3guHWuJNH5ck Xpd2dpDUcQ3qSocV8qosCGBXT//HYB4ClyPlhXPJd0OvqbWkLCBAC2ydKgaT4xBgP4hDMXRqoqNg wAlELUt4g06CoaP8EUDpjXo8GKag0dEf2i9+8YurbFBUP5R9vXEZ6xjxVDK198Fy1qa9/68OMLd5 9d+NjTxxXJNIrJUg0LmMe6sXQq85xm0lfZvH3qUrmLJBKziKmDfIHHTj6o0dB5otgli9ffnll74h ZV1klrcZ9zUdPgi03fsqH3FlmZHARAispAMcUgxXsScxopyoEmdIdhNgLd/Z99GaqnM+nwmeTSJj MTpB2bpCLpXDV77ylauqjq2oEke20rT3wSJhlLzSIa68+td45IlD+lNo145Axwuh5+lLyFDxiE6i YCgbNN60xAf5uERvwbKPmxr04E5Sw52frkxFvMDirL0r/K/yualfgqzTcEtRe/YTwbLABtCTpU1A NElhZYK20nM0DB3M8Rqa0PdZhKAK4kF70cLuckLwt9qg6D3zl7/8JXE1bVHh6n0rpMY4Aw1qTgkQ XBBZ0JSQIF/VP1HX8KOQsVnRe+q3JyghCwIrQ0DNXmkaDbinSEDZXBq3RUp/+Pjjj9up3Gg0XL4O O8S1N4ks0lo5tBpOk2qzq7wqIL2/pbcoh5srq5oUZ4EIuKduK3Xjr92eH3gv5QLLG5aOQCD+MSeS p5NsEAgCQWA9CLB+ZTmL6puAKroKuJBVLLbAutrk0Z8mgghLZE6FLMfNxnoqZkklyX7HkmojvASB IBAEzhABJAk0FkgY8o7YwV90+IggSBXs6KNmjzBxhhV7GMuRJw7DK9RBIAgEgUtG4CrrvI6/S71a oahAReFlqnlWj0DkidVXcQoYBIJAEBgNAQwGsfLj2RQsWjtiDzdx+zYnnvofOByNyyR0CgQiT5wC 9eQZBIJAEDgfBLT593Ay2xYenGYvg6MKbGrU4Q4v8qgHes46orcgbuvk4HzKHU4PQyD2mIfhFeog EASCQBAQAeSJ1l9CYLlwBCJPXHgDSPGDQBAIAkEgCIyAQPY7RgAxSQSBIBAEgkAQuHAEIk9ceANI 8YNAEAgCQSAIjIBA5IkRQEwSQSAIBIEgEAQuHIHIExfeAFL8IBAEgkAQCAIjIBB5YgQQk0QQCAJB IAgEgQtHIPLEhTeAFD8IBIEgEASCwAgIRJ4YAcQkEQSCQBAIAkHgwhGIPHHhDSDFDwJBIAgEgSAw AgKRJ0YAMUkEgSAQBIJAELhwBCJPXHgDSPGDQBAIAkEgCIyAQOSJEUBMEkEgCASBIBAELhyByBMX 3gBS/CAQBIJAEAgCIyAQeWIEEJNEEAgCQSAIBIELRyDyxIU3gBQ/CASBIBAEgsAICESeGAHEJBEE gkAQCAJB4MIRiDxx4Q0gxQ8CQSAIBIEgMAICkSdGADFJBIEgEASCQBC4cAQiT1x4A0jxg0AQCAJB IAiMgEDkiRFATBJBIAgEgSAQBC4cgcgTF94AUvwgEASCQBAIAiMgEHliBBCTRBAIAkEgCASBC0cg 8sSFN4AUPwgEgSAQBILACAhEnhgBxCQRBIJAEAgCQeDCEYg8ceENIMUPAkEgCASBIDACApEnRgAx SQSBIBAEgkAQuHAEIk9ceANI8YNAEAgCQSAIjIBA5IkRQEwSQSAIBIEgEAQuHIHIExfeAFL8IBAE gkAQCAIjIHDnr371qzaZO++8c4RUk0QQCAJBIAgEgSCwUgQ6koOl7MoTKy17ihUEgkAQCAJBIAhM iED2OyYEN0kHgSAQBIJAELgQBCJPXEhFp5hBIAgEgSAQBCZEIPLEhOAm6SAQBIJAEAgCF4LA/wtE 3rlIiK11zAAAAABJRU5ErkJggk== ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image010.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEA3ADcAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYF BgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoK CgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCADEAXMDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9/KKb 5hNG/wBBQA6g9OlNycZAp1G4Hjf7e3xq8Z/s6/sqeLPjN8Pxa/2todvBLZreQ+ZGS1xGhDDIyCrH vXwp8Lf+DhzX7YR23xp+ANvcLnEl54b1Axtj1Ec24Z/4GK+v/wDgrcuf+CfPxF/68Lb/ANK4a/BX Z6Gv1ngPhvJ88yeq8XTvJTsndppWXY/L+Nc+zTJ80prCzsnG7WjT1fc/eD4Cf8FZv2Jvj0kFtpvx PXw/qU2B/ZXiiP7LIG9N+TE34Oa+kLDU7DUrWO/069iuIZlDxTQyBldfUEdRX8x5jB7169+zv+3b +1F+y5dxf8Kr+KV8mnxyBpNC1CQ3FlJzyPKc4XPqu0+9dWbeFseVzy+r/wBuy/Rr9UcuW+I9RWjj qf8A29H/ACf+Z/QwrfNUleCf8E7/ANrzVP20f2foPi1rfhOLR76HUptPvLe3m3xySRhCZEzyAd/3 TnGOpr3uvyTFYWtgcTPD1VaUXZ+qP1LC4mjjMPGtSd4yV0FFFFc50BQTgZNFcL+0h8ePCf7NXwU8 RfGrxtMFsdB09p/L3YaeT7scS/7TuVUfWgDmf2vP23v2fv2LvBH/AAlvxm8U+XcTKx0vQ7FRJe6g w/hjjyMD1diFHc1+bfxh/wCDjX43a1ezWvwP+C+h6HZ7sQ3WuSSXlyR6kKURfphvrXwz+0n+0Z8T P2qvjBqnxj+KmsNc6hqUxMNupPk2UGSY7eIH7qIDgDqepySSeFAxXRGnHqB9qf8AD/X/AIKEkk/8 JB4TUdl/4RlOPb71H/D/AG/4KE/9B/wn/wCEwn/xVfFW45wRS1XLHsB9qf8AD/T/AIKFE/8AIweE /wDwmU/+Lr9AP+CNn7bXx3/bb+HXjPxN8c77TJ7rQ9at7axOmacLdRG8RY7gCdxyK/Cuv13/AODb Nz/wpr4lHH/MzWf/AKTtUTjHl0QH0J+03/wV7/ZT/ZJ+L998E/inY+KX1nT7eGW4bTNJjmh2yoHX DGVecHnisD4T/wDBcL9jP4z/ABN0L4UeELHxguqeItUhsLBrvRY0jEsjBV3ETEgZ6nBr83/+C5p3 f8FF/FQP/QK03/0lSvI/+CfBC/tw/Csf9T1p3P8A22Wl7OPLcD+kSiiisQCiiigAooooAKKKKACi iigAooooAKKKKACiiigDm/i58TPD3wX+F/iD4ueMEuG0nw1o9xqWoi0iDymGGMyPtUkZbC8DIya+ O/8AiIQ/YRzxpvjj/wAEEX/x+voT/goYx/4YU+MAI/5pzrH/AKSSV/N+AnXHNaU4xkrsD+j/APY8 /bd+Dn7cnhHVvG/wXg1iOz0bUlsbxdYslgfzTGHG0B2yMEd+teyjgYr84f8Ag28JX9nP4gEf9DpH /wCkkdfo8OlRJcrAKKKKQBRRRQAUUUUAfhV4A/4LJ/t9eBGjE/xWt9cijxmHXtJimDD0LKFf8mz7 19H/AAf/AODhy/XybP48fAeJm4E2oeGL0qp9xDNnH08w1+ZtNfd0C5+tf05jODOG8dfnw6T7x938 j+dMLxXn+Da5K7fk9fzP6Dv2YP2/P2Zv2t4Ps/wm8fxvqqR759B1BTBeRjuQjffA/vIWFe15yARX 4H/8EnHmi/4KD/Dfyn2Z1K6DbW+8PsU/FfvegwM1+HcYZBh+Hc1WHoSbi48yvutdj9j4TzzEZ7lr rVopSTtofOX/AAVt/wCUfPxE/wCvC2/9K4a/Bav3p/4K2/8AKPn4if8AXhbf+lcNfgtX6X4Wf8ie t/18/RHwHiP/AMjal/g/VhTZAMZJp1NfpX6cfnR+zn/BBBf+MKLg/wDU5Xv/AKBDX29XxH/wQS/5 MluP+xxvP/RcNfblfyzxR/yUWK/xs/o/hn/kQ4f/AAoKKKK8E90K/Mv/AIOPvjTc6L8N/AnwF0y/ 2/25qNxquqQq2CYrcKkQPsXkYj3j9q/TSvxE/wCDhHxZPr37dFn4eeUmPRPBdlDGvYeZJNMf/Q/0 FaU9ZAfCwAHIFfSH/BMX9hC5/bs+Pv8Awi2t31zZeE9BhS98TXlqv7xo92Ft0Y8B5CCM87QGODgC vm9unSv2q/4N6fhjp3hr9jXUviKloovvE3iy48242/MYbdEijX6BjKf+BVrN2iB9OfC79hP9kH4P 6FH4e8C/s9eFoIVUK01xpMdxNL/tPJIGZz7k11X/AAzf+z5/0Q/wn/4T9v8A/EV2g4GKK57sDi/+ Gb/2fP8Aoh/hP/wn7f8A+Ira8KfD/wAC+Abaa28D+DtM0eO4cPPHpdhHAsjAYBYIBk49a2qKVwPj D9sD/gol/wAE+/2ffjtqXww+Pvwlk1bxLZ2tvJdXn/CKwXW5HjDIPMc5OFIHtXMfBL/gqN/wTK+J fxg8N/D/AOHHwUey17WNYgtNIuj4Lt4vKuHYBG3rymDj5h0r4P8A+C5//KRjxT/2CdN/9JUryH/g nz/yfF8Kf+x50/8A9HLWyj7twP6RAcjIrN8V+LPDXgrRZvEni7xDZ6Xp9qhe4vtQukhhiX1Z3IAH 40njDxXoHgfwrqXjLxTqUdnpuk2Ml3f3UxwsUMalmY/QCv5//wDgop/wUW+Jf7cvxOuv+JrdWPgX Trth4b8Oq5VCg4E8wHDysOec7c4HvnCLmB+rPxO/4Lef8E/PhrqsmiwfE+88RTRPteTw7pMk8Ofa Vtqt9VJHvXI/8RB37C//AD4+MP8AwSr/APF1+IKsMbR2pdy5xmtvZRA/b3/iIN/YX/58PGH/AIJV /wDjlfT3wU/ag+HXx6/Z/h/aS8Epfr4fmsrm6jW6twk3lwFt/wAuTz8hxzzX80pI6A1+63/BMUhf +CQ2n8f8yvrf/oVxUSpqIGI3/BwX+w1HK0TWPjDKsQf+JKv/AMXR/wARB37DH/QP8Yf+CVf/AIuv xIu/+PqT/ro386jzVeziB+3f/EQd+wx/0D/GH/glX/4uur+E3/Bb/wDYH+KviKLwvP8AEHUPDdxc OEgm8SaY1vblj0BlG5U+rYHvX4M5B4pvDGn7OIH9Tmj6vpeu6XBrOjalBeWtzGJLe6tphJHKp6Mr Dgg+oq1mvx7/AOCDX7d/ivwv8UY/2OfiDrc95oGupJJ4VNxMW/s+7UF2hXPRJFDHaMAMOBya/Vr4 2/F7wf8AAf4U678XvHt20Ok6Bp8l3eMuNzBRwi+rMcKB3JrGUXGVgLvxA+JXgD4V+HpvFvxI8aaZ oWl24zNf6reJBEvtuYgZ9upr5U8e/wDBdX/gn94I1STSdP8AHesa+0TENPouhyvC30d9ufw4r8if 22P24fjF+278ULnxr4/1aaDSIZ3GgeHY7gm306Ak7QBgBpMY3ORlj6DAHi4YDjmtI0u4H7fD/g4N /YX/AOfDxh/4JV/+OUf8RB37C4/5cPGH/glX/wCOV+IYYHiin7OIH9K2sftBfCrW/wBk2f8Aac1z TLi68F3Xgk+ILmzuLNXkl09rbzyjRE4LGM4Kk47V8Xr/AMFfv+CSfUfACT/wg7WvWp9v/DisAj/m 29e3/UIFfg+ODwtTTipAf0UfsHftQfs0ftReB9c8U/sx+CW0TTNN1ZbXUIG0WOy8yfyg4bbHw3yk DJp37Zf/AAUO+BX7C9zoNt8Z7fWXbxCk7WP9l2Im/wBUUDbssMffGK+Xf+DbvH/DOXxAz/0Osf8A 6SR15/8A8HKjg6v8KR/076p/6FBU8v7ywHuZ/wCDg79hcf8ALh4w/wDBKv8A8XSf8RB/7C//AD4e MP8AwSr/APF1+IucdaNw9a19lED9wtM/4OA/2Dr+7S3u5PFlnG3DTy6DuVfrtcn9K+nP2f8A9q39 n/8Aah0A+IPgZ8UtN16JFBuLe3l23Fv7SQuA6fiAPSv5oAwbpXY/Ab48/Ev9mv4paX8XPhR4hm0/ VNMmD/u5CI7iPPzQyrnDxsOCp4/EA1LpLoB/TmpyuaK8w/Zq/ah8DftEfAfwv8atMuYrOPxBpSXE lm8uTBKCUljz32yKy59qKxtID+deg9aKD1r+xD+Uz6G/4JPjP/BQX4bH/qJXX/pHPX74p92vwP8A +CTv/KQT4bf9hK6/9I56/fBPu1+B+KH/ACPqf+Bfmz9q8Of+RRP/ABfoj5x/4K2/8o+fiJ/14W3/ AKVw1+C1fvT/AMFbf+UfPxE/68Lb/wBK4a/BavrvCz/kT1v+vn6I+a8R/wDkbUv8H6sKa/SnU1+l fpx+dH7Pf8EE/wDkyW4/7HG8/wDRcNfblfEf/BBP/kyW4/7HG8/9Fw19uV/LPFH/ACUWK/xy/M/p Dhn/AJEOH/woKKKK8E9wK/CP/gvCsi/8FEdc8zv4f00r9PJP/wBev3cr8Uf+DiDwTcaB+2jovjDy WEOveC7Zll28GSKaaJl+oUL/AN9CtKXxAfBLdK/eL/ghXJC//BOnwyIiMrrGprJ/vfaW/pivwdbn tX7Kf8G7Pxj0nxH+zJ4j+DEl6v8AaXhnxI92sG7k2tyilWA9pI5M+mRWlT4QP0QooB4ornAKKKKA PwZ/4Ln/APKRjxT/ANgnTf8A0lSvIf8Agnz/AMnx/Cn/ALHjT/8A0etevf8ABc//AJSMeKf+wTpv /pKleQ/8E+f+T4/hT/2PGn/+j1ro/wCXYH66f8F1vjPffCr9hTUvDuk3HlXXjLVrfSNynB8k5llx 9Vj2n2Y1+FKKB0NfsB/wcjzTj4FfDu3GfLbxdMzf7wtXx/M1+QNFP4QP0n/4It/sWfsuax4Uk/aZ /ag8QeEb65nvGh8L+G/EGp2/l26ocNcywyNhmLZCBhgBc4yQR+mNt4m/Y9s4lt7XxJ8NY441xHHH eaeqqPQAHgV/NQJHUbVkYfQ0vnS95pKHTcne4H9LD+MP2Re3in4b/wDgdYf41qfEeLw8vwD8SP4V SzGnyeFb6S0OnhPJdGt3IZNnykHOcjrX8yLyy9RM9f0UfAE5/wCCZ/hfd1/4Uzb/APprFZyhy21A /nbu/wDj6k/66N/Ov0U/4N+vgX8FvjX4h+JUHxh+E3hzxSlhZ6e1iviDRYLwW5ZptxTzVbaTgZxj OK/Ou7/4+pP+ujfzr9Pv+Dav/kZvir/146Z/6HNWtTSDA/QLUv2AP2H9T0+bT7n9kr4drHMhV2g8 I2kTgEdQ6RhlPuCCPWvwz/4KW/s7+Dv2XP2zvF3wj+Hcbx6FbyQXWl28khdreOaFJPKyeSFZmAzz gDr1r+iw9K/BT/guL/ykX8Wf9g3Tf/SVKyp35gPL/wDgnHdXFn+3j8KJ7aRlb/hNrJdy+jSbSPyN fpP/AMHFXxk1Twn+zn4T+D2k3jRf8JZ4gebUArf6y2tUDbD7GSSM/wDAK/NX/gnb/wAn1/Cf/seL D/0aK+2P+DlKec+LfhTAD+6Gn6o2P9rfB/StJfxEB+YGCDxX6j/8Ec/+CTvwi+Kfwltf2oP2l/DK a5HrE7nwz4duXYW628bFTPMoI8ws4bCn5dqgnOePy3c4Oc1/SB/wTxs9Osf2GPhLBpqKsbeAdMch f77W6M3/AI8WoqXsBci/YJ/YjhjWKP8AZG+G+1Rj5vBdkT+Zjp3/AAwd+xL2/ZG+G3/hFWP/AMar 1iiue7A8P/bp8NaB4Q/4J7/FPwx4W0e103TdO+F+qW2n6fY26xQ20KWTqkaIoCqqgABQAABgV/OV k4yK/pD/AOChf/Jifxg/7JzrH/pJJX83fb862p7AfsV/wbef8m5fED/sdo//AEkjr9DNZ8K+GvEB R/EHh+xvvKz5f2y0SXZn03A4r88/+Dbz/k3L4gf9jtH/AOkkdY//AAW2/wCCm/xB+D2vD9k74AeJ W0vU5rFZvFeuWcmLm3SQZS2iYf6pinzMw+YAqARk1Mo3qWQH31rlx+zb4XufsniV/A+nS/8APO+a zhb8mwao/wDCYfsiHr4p+HH/AIHWH+NfzW6p4g17XLyTUdd1u8vLiRt0k93cvI7n1JYkk1X86TvK 1V7LzA/Yv/gst8A/2Nfib+zBrHxe+Hmr+CbPxr4X8q4tLjw/fWiTX8JlVJIJFibMvytuXIJBXjjI P44Ab+TTmlcjaXbH+0aBjtWkVyqwHtnwh/bk+LXwf+Hmn/Dnw1rs0Njp3neRGshwPMmeU9/VzRXi eB6UVQHWUHrRQetf1wfymfQ//BJ3/lIJ8Nv+wldf+kc9fvgn3a/A/wD4JO/8pBPht/2Err/0jnr9 8E+7X4H4of8AI+p/4F+bP2rw5/5FNT/F+iPnH/grb/yj5+In/Xhbf+lcNfgtX70/8Fbf+UfPxE/6 8Lb/ANK4a/BavrvCz/kT1v8Ar5+iPmvEf/kbUv8AB+rCmv0p1NfpX6cfnR+z3/BBP/kyW4/7HG8/ 9Fw19uV8R/8ABBP/AJMluP8Ascbz/wBFw19uV/LPFH/JRYr/ABy/M/pDhn/kQ4f/AAoKKKK8E9wK /On/AIOJ/gTqHjX9n/wv8ctGsGmk8G6xJb6k0a8x2l0EG8+wljjHtvr9Fq5/4p/DPwp8Yfh5rXwx 8b6et1pOu6fJaX0LAco64yPQjqD2IFVF2kB/L0G5xivY/wBh39svx5+w98crX4u+DrKO/tZIfsuu 6PNIVS+tSclMj7rgjcrc4YDIIJBsft0fsQfFD9h74w3fgTxfYzXOh3FxI/hnxCsJEOoW275TnoJF UgMmSQfUEE+KAbutdGkkB+9Pw2/4Lff8E/vHOgQ6rrPxOuvDt00YM2na1pcqyRNjldyBlbnuDzXS f8Pg/wDgnZ/0cbp//gFcf/G6/nxC85Ap2AeoqfZRA/oM/wCHwf8AwTs/6ON0/wD8Arj/AON16n+z 1+1d8Bv2qdK1DXPgR4+t9etdKuEgv5reF08qRl3BTvUdhX80HToK/Xj/AINsUx8GviVn/oZbP/0Q 1ZzpqMbgfIv/AAXP/wCUjHin/sE6b/6SpXkP/BPn/k+P4U/9jxp//o9a9e/4Lnf8pF/FR/6hWm/+ kqV5D/wT5/5Pj+FP/Y8af/6PWtvsAfqt/wAHBPwt1Dxv+xXZ+N9Otmkbwn4qt7u62j7sMqPAWPtu kT86/EhW3DgV/Tz8cvhF4Z+PPwi8RfB3xgjNpviLSZrG5ZR80e9cCRf9pWww91FfzlftT/sx/E39 kf4x6p8H/idpUkdxaTMbC+8krFqFsSfLniJ6qw+uDkHpUU5aWA+1f+CPv7MH/BOn9sj4e33gH4z/ AA2af4iaHO80+PEl5b/2hZMw2SpGkyr8hO1sDj5T3zX2sv8AwRB/4Jstx/wo28/8KrUf/j9fg74b 8SeIfCWsW/iTwpr15puoWzb7a+sLloZYjjqrqQR+HrXqUP7fn7bNvEsMP7VPjoKi4UHxHOf5tTlG Td0wP2Qb/gh9/wAE2s/8kOvP/Cq1H/4/Xu3ivwR4a+Gf7M2q/DrwbYNa6Tofgi4sdNt2maQxQRWj Ii7mJZsKBySSe9fz9n/goJ+2+Bx+1V45/wDChm/+Kr9jf2A/HvjX4o/8Errfxx8RfFV9rWsXnhjW vtWpajcGWaXb56jcx5OAAKzlGUdwPwWu/wDj6k/66N/Ov0+/4Nq/+Rm+Kv8A146Z/wChzV+YN3/x 9Sf9dG/nX6ff8G1f/IzfFX/rx0z/ANDmrSp8DA/WI9K/BT/guL/ykX8Wf9g3Tf8A0lSv3rPSvwU/ 4Li/8pF/FvH/ADDdN/8ASVKzpfEB5Z/wTt/5Pr+E/wD2PFh/6NFfoV/wcifDu/1H4XfDr4q2tqzQ aXrV1p15Iq52efEHQn0GYWH1Ir89f+Cduf8Ahuv4Ukj/AJniw/8ARor97v2x/wBmrQP2sv2cvEnw M1qWOFtWs86feSKWFrdId0UnHOAwGcc4JqpPlmmB/NXgMK/bT/gh/wDtt/D34sfs1aP+zlrviG3t fGPguBrWLT7iYK17YqxMcsWT8+1TsYDkbQehr8cfjH8HfiJ8A/iRqnwp+KXhybS9a0i4MV3bzLw3 o6N/GjDkMOCDXPWN7eaZdx6hpt5Nb3ELbopoJCjI3qCOQa0kudAf1OrKhH3hS70/vD86/mJT4+fH ONQsfxo8WAKMAf8ACQ3PH/j9L/w0B8dz/wA1p8Wf+FFc/wDxdZexfcD+hL/goU2f2FPjAP8AqnOs f+kklfzft90H2r959Zv9Q1j/AIIeTavq1/NdXVz+zp5tzc3EpeSWRtIBLMx5JJ6k8mvwYYZAA7Cq orcD9iP+Dbz/AJNy+IH/AGO0f/pJHX5r/wDBQjxRq3i/9uP4ra1rEzSTf8J1qNspbtHDO0Ma/gka j8K/Sj/g28/5Ny+IH/Y7R/8ApJHXxV/wWi/Zv1r4E/tv+IvE40+RdF8cTnW9LuvL+RpJAPtCZ6bh LvP0YGlH+IwPPv8AgnD+zl4B/as/a88M/Bb4najc2+i6gLiW8Wzm8uScRQtIIlb+EsV6jnGcc1+v UH/BDz/gm0kSqfgletgY3N4s1Dn3/wBfX4P6Dr+u+FdZtvEfhjWrrTtQs5RJa31jcNFLC46MrKQQ fpXqcf8AwUA/bcijWJP2qvHW1RgZ8RT/APxVVKMpdQP0r/4KCf8ABJf9hT4G/sc+PPiz8M/hJdWO vaHo4n026k8RX0wik81FzseUq3BPBBFfjmhzk5r07xn+2d+1j8RPDN54L8dftEeLtW0nUIvLvtOv 9alkhnTIO1lY4IyBXmYGKqMXHcAoooqgOsoPWig9a/rg/lM+h/8Agk7/AMpBPht/2Err/wBI56/f BPu1+B//AASd/wCUgnw2/wCwldf+kc9fvgn3a/A/FD/kfU/8C/Nn7V4c/wDIpqf4v0R84/8ABW3/ AJR8/ET/AK8Lb/0rhr8Fq/en/grb/wAo+fiJ/wBeFt/6Vw1+C1fXeFn/ACJ63/Xz9EfNeI//ACNq X+D9WFNfpTqa/Sv04/Oj9nv+CCf/ACZLcf8AY43n/ouGvtyviP8A4IJ/8mS3H/Y43n/ouGvtyv5Z 4o/5KLFf45fmf0hwz/yIcP8A4UFFFFeCe4FFFFAHJfGT4HfCb4/eDJvh98YvAWn+INJuOWtNQgDb Gx99G+8jjsykEetfBHxc/wCDcj4KeItUn1L4O/GjWvDsUjFo9N1K1S9ji/2Q+VbA9yx9zX6SUVSl KOwH5Ln/AINrvHIb5P2oNK29t2gSf/HKB/wbYeOif+Tn9J/8J+T/AOLr9aKKftJdwPyX/wCIa/x5 nj9qLSf/AAn5P/i6+xv+CY//AAT513/gn74K8UeE9Y+Itr4ibxBqkN3HNa2LQCEJGU2kMxznOa+o qKTlKWjA/Pv9vP8A4IreK/2yv2lNW+PWm/HLT9Dh1KztYV0640l5mTyoljzuDAHOM9K439nX/ggJ 4z+Bnx48JfGO7/aH03UI/DOvW2ovZR6JIjTiJw2wMXOCcehr9NqKOeVrABG4YNeZ/tMfsjfAP9rf wh/whnxw8AW+rRRq32G+X93dWTH+OGUfMh9uQe4NemUVPoB+X/xD/wCDbXwhd38lx8LP2jb+yt2b MdtrWkLMyD03xsuf++a5cf8ABtf46/6Of0n/AMEEv/xdfrRRV+0kB+S7f8G13jo/83P6T/4IJf8A 4uvvj9lv9kvU/wBnb9je3/ZbvfF8OpXFvpV9Z/2tDalEY3BkIbYSTxv9e1e4UUnKT3A/JeT/AINs vHU0zy/8NPaUu5s4/sGXj/yJX1V/wTE/4Jk+IP8Agn1qvi3UNY+Kdp4jHiWC1jjW109oPJ8ppDk7 mOc7/wBK+vqKHOTVmAjZ28V+fX7eH/BFPxZ+2P8AtKav8edN+Oen6JDqlraxLp9xpMkrJ5UQTO4O Ac4z0r9BqKUZOOwH5l/s3/8ABAjxl8B/j54R+Mt3+0NpuoReGdet9QksY9FkRp1jcNsDFzgnHpX6 aMoYYNFFOUnLcDxn9rP9g79m/wDbN8PLpPxm8CxzX8Ee3T/EFi3k31n7LIPvL/sOGXvjIBr4Z8bf 8G2Glzag8vw6/aYuILZmzHDrGhiR0HoWjcZ/75FfqZRRGUogfkuf+Da3x12/ah0n/wAEEv8A8co/ 4hr/AB3/ANHQaR/4IJf/AIuv1oop+0l3A8Vk/ZW1N/2B/wDhjP8A4S2H7V/wrMeFf7c+zny94s/s 3n7M5xn5tuc18Ar/AMG2HjvqP2oNJ/8ABDL/APF1+tFFJSlHYD5l/wCCZn7A2tfsBfDbxF4B1j4h W/iJ9c1xdQS5tbFoViAhWPYQzHJ+XOa9K/al/ZJ+C/7Yfw4m+Gnxp8LLeW+7zLC/hOy6sJsf6yKT qp9RyGHBBr1Cipu73A/Kvxf/AMG2G/VJJPAP7TRjs2b93Fq+h7pFHoWjcA/XArLH/Btf46xz+1Bp P/hPyf8AxdfrRRV+0kB+S/8AxDY+Ov8Ao57Sf/Cfk/8Ai6P+IbHx1/0c9pP/AIT8n/xdfrRRR7SX cD8l/wDiGx8df9HPaT/4T8n/AMXRX60UUe0l3A/mHoPWig9a/sE/lM+h/wDgk7/ykE+G3/YSuv8A 0jnr98E+7X4H/wDBJ3/lIJ8Nv+wldf8ApHPX74J92vwPxQ/5H1P/AAL82ftXhz/yKan+L9EfOP8A wVt/5R8/ET/rwtv/AErhr8Fq/en/AIK2/wDKPn4if9eFt/6Vw1+C1fXeFn/Inrf9fP0R814j/wDI 2pf4P1YU1+lOpr9K/Tj86P2e/wCCCf8AyZLcf9jjef8AouGvtyviP/ggn/yZLcf9jjef+i4a+3K/ lnij/kosV/jl+Z/SHDP/ACIcP/hQUUUV4J7gUE8UUEZGKAMXxR8QvA3gcQv428a6To63G4WzapqE dv5pXG7bvYbsZGcdM+9ZP/DQfwH/AOi2+Ef/AAo7b/4uvzn/AODlkY8P/CEf9Pmtf+gWdflH+NaR p8yuB/Tp/wANB/Af/otvhH/wo7b/AOLo/wCGg/gP/wBFt8I/+FHbf/F1/MXj3ox71Xsl3A/p4svj t8FNRuVtNP8AjD4WnmY4WOHxBbMzewAfJrqIbiO4jWeCVXjYZV1YEMPXNfyvqXV9ytjHQ169+zf+ 3l+1X+ynqcN18JPi3qkGnxS+ZJ4fvrprjT5uckNA52jPdl2t70ez7MD+kagnHWvmf/gnD/wUe+Hf 7efgGaS3s10bxho0aDX9AeTOM9J4T1aInjnlTwexP0wCGGaxa5dGAA56UEgdTX4p/tTf8Fjv28fh h+0p46+HXg/4k6fb6Vofiq+stPhfQoHZIY5mVAWK5JwOpr1L/glP/wAFP/2wv2pP2ytH+EPxi8dW WoaHeaTfzz20OjwwsXigZ0O5QDwRVezkB+rQOelFIuQvIpakAooooAKKKKAAkDrRXg//AAUn+NXx C/Z2/Y08YfGD4W6nHZ65pMNu1lcTW6yqpe4jQ/K3B+VjX5Hj/guR/wAFFAP+Sp6Z0/6F23/+Jqow lLYD96KbK4jjLlgoXkk9q+UP+CPH7UHxk/a6/ZY1L4ofG7XbfUdYt/Gl3p8U9vZpAogjtrV1XamB kNK/Pv7V9T64M6Lef9esn/oJpWs7AcuP2hPgTnDfGzwkP97xFbf/ABdanhj4nfDzxvdSWfgrx9ou sTQoHmh0zVIrhkXONxCMSBnua/l9vAftcxz/AMtW/nX6Of8ABt2D/wAL8+IH/Yqw/wDpQKuVO0bg fsJnPSiiiswCiiigAooooAKyfFfjnwd4Gtkv/Gni3TdIt5ZPLhm1O+jt0d8Z2guRk4BOOta1fnP/ AMHIQA/Zl8B4/wCh7/8AbK4qormdgPudv2hfgOoz/wALs8I/+FHbf/F10+jazpev6dDq+i6nb3lr cJvt7q0mWSOVf7yspII9wa/ljIOOtf0Yf8EyBj9gP4Uc/wDMn239aqUOUD3aiiiswP5h6D1ooPWv 7EP5TPof/gk7/wApBPht/wBhK6/9I56/fBPu1+B//BJ3/lIJ8Nv+wldf+kc9fvgn3a/A/FD/AJH1 P/AvzZ+1eHP/ACKan+L9EfOP/BW3/lHz8RP+vC2/9K4a/Bav3p/4K2/8o+fiJ/14W3/pXDX4LV9d 4Wf8iet/18/RHzXiP/yNqX+D9WFNfpTqa/Sv04/Oj9nv+CCf/Jktx/2ON5/6Lhr7cr4j/wCCCf8A yZLcf9jjef8AouGvtyv5Z4o/5KLFf45fmf0hwz/yIcP/AIUFFFFeCe4FFFFAH5cf8HLf/IB+EP8A 1+61/wCgWdflFX6u/wDBy3/yAfhD/wBfutf+gWdflF1rop/w0B9Hfsw/8EsP2tP2uvhinxd+Dmj6 HNo0l9NaK+oa0sEnmRkBvlIPHIr0R/8Aggf/AMFCkGf+Ec8K/wDhTJ/8TX3v/wAEBVX/AIYBteP+ Zs1I/wDjyV9tkA9RUyqS5gP5w/2lv+Ce37Xf7JdqNY+M3wivLXSWcKuuafIl3Z5PADSxEiMk9A+0 ntXi5B6E1/UZ458E+FviN4U1DwL420S31HSdWtHtr+xuow0c0bjBBB/yK/nH/bZ/Z4uv2Wf2pPGH wQkD/ZtI1Mtpkjnl7OUCWBj6/u3X8RVU582gEX7Gn7SviP8AZG/aM8OfG3QLibydPvFj1i1iYj7V YuQJoj65Xp/tBT2r+kXwt4h0nxb4csfFOg3S3FjqVnHdWc6HKyRyKGVh9QRX8tL9M1/Qh/wSM+Jz /FT/AIJ8fDvVbq58y60zTZNJuiWzhraZ4kz7+WIz+NTVXUD8/f2nv+CJ37c/xW/aN8b/ABK8I6D4 bfS9e8UX1/p7XHiBEcwyzM6ll2/KcEcV6d/wS3/4JRftd/smftgaP8Zvi/o2gw6HZ6XfW80lhraz yb5YGRMIF5GTz6V4/wDtTf8ABZH9vD4X/tJeOvh14P8AiNpsGl6H4qvrHT4ZNBgdkhjmZUBYrliA BzXqH/BKn/gqJ+2F+1J+2Ro3wh+MfjixvtDvNKv55re30eGFi8UBdDuUZ6iiXPygfq0DkZoppbbH 1r4q/bx/4LTfBX9kTXrz4XeA9F/4TbxnaLturS3uxFZ2EmPuzSgNlh3jUZHQlTWSTewH2vRX4Y+L f+C+v7fviS/kudG1XwvocLNlLXT9BDBB6bpndj+dY/8Aw/L/AOCimP8AkqOlf+E7bf8AxNX7KQH7 zUV+DI/4Ll/8FFf+ioaX/wCE7bf/ABNdJ8HP+C1X/BQDxd8YPCnhHXfiVpsljqviWxs7yNfD8ALR S3CI4BC8fKx5o9nID9UP+CjHwL8f/tMfsfeLvgt8Lra1l1zWYbdbGO8uRDGdlxG5y5HHyqa/J8f8 EDv+ChXQ+HPCv/hTJ/8AE1+rX/BSP42/EL9nT9jbxh8YfhZqcdnrmkQ27WNzNbrKqF7iNDlW4Pys a/JD/h+X/wAFFQcf8LR0r/wnbf8A+Jp0+e2gH6f/APBIn9lH4v8A7Gv7MGo/Cj412Wnw6tc+MrrU o006+FwnkSW9rGvzADndE/Hpj1r6d1tx/Yt4R/z6yf8AoJr5Y/4I+ftS/GP9rn9lXUvin8b9cg1D WLbxnd6fHcW9kkCiCO2tXVdqDBO6V+ff2r84vir/AMFq/wBv/RPiD4k8Kab8SdMWzs9ZvLSCNtBt yREszoozt6hQKSjKUgPi67/4+pP+ujfzr9Hf+DbsgfHv4gEn/mVIf/SgV+bxdpHaRjyzZNenfsu/ tjfHf9jnxJqXir4FeIrbT7zVrRbW8kubFJw0YbcBhwcc962lG8bAf0rfSgHNfgyv/Bcv/gokXVW+ KGl7SwB/4p23/wDia/Zn9pX4j+Kvhx+yn4u+KXhS8SHWNJ8IXF/ZTyQhlWZYd4O08EZ7GudxlED0 2ivwZ/4fmf8ABRX/AKKhpf8A4Ttt/wDE0f8AD8z/AIKK/wDRUNL/APCdtv8ACq9nID95qK/Bj/h+ b/wUUBBPxP0rr/0Ltt/hXqv7O/8AwcQ/tC+GPEdvZftG+BtF8TaHI224utHtTZ30P+2vzGOTHdSq k9mFHs5AfslX5z/8HIf/ACbN4D/7Hr/2yuK+5vgL8dvht+0h8L9L+L/wo8RR6lourQ74ZFOGicHD RSL1R1PBU8j8q+Gf+DkP/k2bwH/2PX/tlcVMfiA/HM9K/ov/AOCZP/Jgfwo/7E+2/rX86B6V/Rf/ AMEyf+TA/hR/2J9t/Wtq3woD3WiiiucD+Yeg9aKD1r+xD+Uz6H/4JO/8pBPht/2Err/0jnr98E+7 X4H/APBJ3/lIJ8Nv+wldf+kc9fvgn3a/A/FD/kfU/wDAvzZ+1eHP/Ipqf4v0R84/8Fbf+UfPxE/6 8Lb/ANK4a/Bav3p/4K2/8o+fiJ/14W3/AKVw1+C1fXeFn/Inrf8AXz9EfNeI/wDyNqX+D9WFNfpT qa/Sv04/Oj9nv+CCf/Jktx/2ON5/6Lhr7cr4j/4IJ/8AJktx/wBjjef+i4a+3K/lnij/AJKLFf45 fmf0hwz/AMiHD/4UFFFFeCe4FFFFAH5cf8HLf/IB+EP/AF+61/6BZ1+UVfq7/wAHLf8AyAfhD/1+ 61/6BZ1+UVdFP+GgP3K/4IC/8mAWv/Y2aj/6ElfbVfEv/BAX/kwC1/7GzUf/AEJK+2qxl8Q5bhX4 n/8ABw74btdL/bV0fX7eIK2qeB7Vp8D7zRzzpuPvt2j6KK/bCvxW/wCDiTW7a+/bM0DRYn3SWHgW 3Mw/ul7icgfkM/jVU/iEfAg+90r9sf8Ag3o1We9/Yk1LS3fK2fja8CfN03RQtj86/E4HBzX7W/8A BvDps9n+xRq2osPluvG92U99sMIrSp8IH5Tftz/8nmfFD/setU/9KXr3L/gg/wD8pGfDv/YA1X/0 lavDf25/+TzPih/2PWqf+lL17n/wQe/5SMeHc/8AQA1X/wBJWofw/ID9O/8AgrX+1/e/sgfsl6l4 h8K3Bj8TeJLhdI8OyK2DBJIrGSf/AIBGGI/2yn1H8/8Ad3d5e3UmoajcyTzTSF5ppnLO7E5LEnkk nqf/ANdfp1/wcm+OLiXxz8M/hok7eTb6Te6lJH2LSSLGCfoIz+Z9a/MNs4xRTVo3A7b4Gfs5/HH9 pTxK3hD4H/DXU/EV5Goa4FjDmOBT0aSQ4RB/vEfoa93X/gid/wAFIXXePgNH+PiSw/8Aj1frb/wS 4/Zv8Ofs4/sZ+D9D0/S4YtT1rSodX126WMeZcXNwgk+ZupCqVUA9AtfROAEwKmVWXQD+Zb9ob9m3 4xfsr+PF+Gnxw8LLo+tNZx3a2q3kU/7lyQrbomZex4zmq/7ORz+0R4DP/U56X/6VxV9Z/wDBwQoH 7dcJ/wCpNsf/AEOWvkz9nHj9ofwHj/oc9L/9K4q0Um4gfuh/wWZ/5RyfEP8A697T/wBK4q/n97D6 V/QF/wAFmf8AlHJ8Q/8Ar3tP/SuKv5/e34VNH4QP2y/4N4QW/YT1pR3+JGof+kdjXyD8UP8AghF+ 3Pr/AI78ReL7AeEPsd9q95eQ79fIby3ldxkeXwcH86+v/wDg3d/5MX1n/spOof8ApHY19y62oGjX XH/LvJ/6Caz5nGbsB/LOyNG7I3VWxXr37IP7EXxr/bd8U6t4Q+Co0n7Xo1it3ef2tfGBfLZ9g2na 2TmvJbvi6kH/AE0b+dfo5/wbdru+PfxBz/0KkH/pQK2lK0bgefp/wb9/t87ldk8G4DA/8jEf/jVf r5+0Z8MfE3xP/Ze8WfCLwz9n/tbWfCc+nWfnzbY/OeHYNzYOBnvivSO2KjuJ4rZDNMyqirl3ZgAB 65rnlKUgPw/H/Bv1+31j7vgz/wAKI/8Axqj/AIh+v2+v7ng3/wAKI/8AxqvvD9oz/gur+xv8CfEl 54M8OPqnjbUrCZorlvD0aC0SRTgr9odgGweMoGHvXkn/ABEofCYk7P2YPEJHY/2/B/8AG605qnQD 5K+JX/BDX9vr4b+E7zxg/hHRNaisYWmns9D1kTXBQDJKoyqXOB0XJPYGvj+eOW3ke2niZJEYrIjD BUjqD6V+uT/8HJfwmY/N+y/4g5/6j0H/AMar8t/jv488O/FH41eLPiR4T8OvpOm694gu9Qs9LkkD G1jmlaQRZAAON2OAOlVGU+qA+7f+DeP9o/WvC/xy139mfU7xm0nxJpkmpafEzcQ3kG3dtHbfETnH XyxXuv8Awcg8fsy+Ax/1Pf8A7Z3FfD//AARSmlh/4KOeBTG5G6PUFb6fY5a+4P8Ag5CGP2ZfAY/6 nr/2yuKmStUuB+OZ6V/Rf/wTJ/5MD+FH/Yn239a/nQPSv6L/APgmT/yYH8KP+xPtv61Vb4UB7rRR RXOB/MPQetFB61/Yh/KZ9D/8Enf+Ugnw2/7CV1/6Rz1++Cfdr8D/APgk7/ykE+G3/YSuv/SOev3w T7tfgfih/wAj6n/gX5s/avDn/kU1P8X6I+cf+Ctv/KPn4if9eFt/6Vw1+C1fvT/wVt/5R8/ET/rw tv8A0rhr8Fs19d4Wf8iet/18/RHzXiP/AMjal/g/VhTX6U6mueOlfpx+dH7Pf8EE/wDkyW4/7HG8 /wDRcNfblfEP/BBKQH9iS4YD/mcrz/0XDX26HBGa/lnij/kosV/jZ/R/DP8AyIcP/hQtFAORnFFe Ce6FFFFAH5cf8HLf/IB+EP8A1+61/wCgWdflFX6u/wDBy3/yAfhD/wBfutf+gWdflFXRT+BAfuV/ wQEI/wCGALXn/mbNR/8AQkr7aJA6mvwU/Yy/4LBfGr9in4MR/BTwL8NvDeqWMepT3outUafzd0pG V+RgMDHpXrDf8HHf7TrDA+CngvP+9df/ABys3TlzAfsPrWr6foOm3Gt6tfR29paQNNc3E0gVIo1B LMxPAAAzX85//BQj9oyP9qn9r3xl8Y7CfzNNur8Wuit2NnAoiiI/3lTd9W967f8Aa1/4K4ftdftd +F5vAHinXrHw/wCHbni80bw7btCt0v8AdldmZ3X/AGchfavmDOBzWlOPLqwA9M5r+gL/AII3fDNv hp/wTz8BW9zbGO41q3uNXuAVxnz53aM/9+hFX4b/ALM3wG8UftN/HXw38EfCSN9p13Uo4Zp1XP2a DOZZj7IgZvw96/pU8BeD9G+HvgjR/Anh23EVho2mw2VnGP4Y4kCKPyFTWlsgP5xf25/+TzPih/2P Wqf+lL17p/wQe/5SL+Hf+wDqv/pK1eF/tz/8nmfFD/setU/9KXr3T/gg9/ykX8O/9gHVf/SVqp/D 8gPVf+DkTS7mH9of4f6yUPkzeD5YlbtuW6ckfky1+cQbYyvj7rZr9jP+Din4G6p4x/Z+8LfHDRdO eb/hEdae21Ro1yYrW6VQHb/ZEqRrn1kFfjkWyNmKKesUB/TL+yp4q0nxr+zR4B8U6JcpJa3vg/Tn jZOn/HsgI/AgivQO1fi//wAEvv8Agsxpn7Kfw+g/Z/8A2hfDmoal4XspnbQ9a0sCS4sFY7jC8TEb 4wckFTlc4wRjH2gP+C9n/BPLZz4s8TdP+hZl/wAaxlGVwPhH/g4LGP264QP+hNsf/Qpa+S/2cf8A k4fwH/2Oel/+lcVe2/8ABWn9qn4R/tf/ALUcfxV+C+oXlxpC+HbazMl9ZNA/mozlhtPb5hzXiX7O P/Jw/gP/ALHPS/8A0rirePwgfuh/wWZ/5RyfEP8A697T/wBK4q/n97fhX9AX/BZn/lHJ8Q/+ve0/ 9K4q/n97fhSpfCwP2z/4N3f+TF9Z/wCyk6h/6R2Nfc+t4/sa7z/z7Sf+gmvhj/g3d/5MX1n/ALKT qH/pHY191anA91p1xbRj5pIWVfqQRWMvjA/lmu/+PqT/AK6N/Ov0c/4Nuz/xf34gf9ipB/6Uivzl 1CCa21C4t542V45nV1bqGDEEV9Sf8Eiv23vAX7Ev7RV94h+Kltdf8I74i0n+z769s4vMezYSCRJS nVlyCDjkZyAcYreS90D9+q+I/wDgu5+094n/AGf/ANky18HeBtWex1Xx5qjaY11C22SOzRN8+09i 2UTPo57mu+g/4LHf8E6Z0Vl/aJs1LAfK2m3QP0/1dfK//BypbXeoeDPg94gs9zWK32sRySfw75I7 Jk/NY3P4VhFe8rgflB1+duT1zXd+Af2Xf2l/iroS+KPhn+z5428QaazFE1HRfC91cwOwOCBJHGVJ B6gGuFI445r9wv2Uf+Cv37AGj/s8+D/DOv8AxNXwvfaT4etLG80e60qYeRLFEqNtMaFSpIJBB5z2 NdEpSjsB+SY/YS/baH3v2RPiX/4Q99/8arzPxH4a8Q+DtfvPCvi3QbzS9U0+4aC/07ULdoZreRT8 yOjAMrA9QRkV+/w/4LE/8E6f+jjLL/wW3X/xuvxG/ba8feFPil+1z8RfiL4F1Vb7R9a8W3l3pl4q MomheQlXAYAjI9RUxlKW6A9b/wCCK3/KRrwJ/u3/AP6Ry19xf8HIf/Js3gP/ALHr/wBsrivh3/gi t/yka8Cf7t//AOkctfcX/ByH/wAmzeA/+x6/9srilL+IgPxzPSv6L/8AgmT/AMmB/Cj/ALE+2/rX 86B6V/Rf/wAEyf8AkwP4Uf8AYn239adX4UB7rRRRXOB/MPQetFI2euK/sQ/lM+h/+CTpP/DwX4bD /qJXX/pFPX74p92vwO/4JPnP/BQj4bH/AKiV1/6RT1+925duM1+B+KH/ACPqf+Bfmz9q8Of+RTU/ xP8AJHzn/wAFbv8AlHx8Rf8AsH23/pXDX4Lmv6LP2tfgCv7UH7PniL4Gv4kbSRr1vHF/aCw+b5Oy VJM7cjP3Mde9fntrf/Buv42SMnw3+0lpszfwi80WSMf+Ou1ehwBxLk+TZfUo4upyyc7rRvSyXRHD xxkObZpmFOrhafMlGz1Xdvqz83Ac9Ka+AwOK+4vGf/BAv9sTQI2m8K+J/COtqq52R6hLBI30Dx4/ UV4z43/4Jd/t5+AjI+rfs461dRx5zNpLRXikDv8AuXY/oDX6dh+KOH8Tb2eJh83b8z87r8O55h0/ aUJL0Tf5XPpb/gkL/wAFL/gH+zb8NZf2e/jU17pH2rXJr218QiHzLQeYqLskC/MmNv3sEc84r9TP Anj/AMF/Enw/B4q8A+KbHWNNuF3Q3un3Cyxv+Kmv5uvF/wAM/iF8P7trDxz4E1jR7hfvRapp0kLL +DgV0/wD/at/aA/Zm11dc+CfxMv9HbzQ89irCS1uMdpIXBRh26Z9CK+M4g4BwucVZ4zAVUpyd2m7 xb8n0v8AcfW5HxvisppxwuMpXhHRNaSS9Ha9j+jlN235qWvz2/ZC/wCC7fwv+I8tv4P/AGntGj8I 6m6hRr1lvfTpX/2wcvDn33KO5Ffevhrxb4b8Z6Hb+JfCevWmpafeRiS1vrGdZIpVI+8rKSCK/IM0 ybMsnrezxdNx7Po/R7H6nlucZdm1HnwtRS8uq9UalFRhwxzTh9zivLPU3Py6/wCDlv8A5APwh/6/ da/9As6/KKv6bPi9+zh8D/2gksIfjb8LtI8TJpbSHT11a1EotzJt3lc9N21c/wC6K4n/AIdtfsH/ APRq3g3/AMFK1pCooxsB/OTRjNf0bf8ADtr9g/8A6NW8G/8AgpWj/h21+wf/ANGreDf/AAUrV+1i B/OQSR0rsPgx+z78av2h/E0fg/4M/DnVPEF87hWWxtiY4s93kOFQepYgV/QbYf8ABO39hzTLgXFl +yv4LVlOVZtFjb9GBr1Dwf4C8F/D7TF0TwN4R03R7NPu2ul2KQRj/gKACk6vYD5T/wCCV3/BMDQv 2G/Cs/jfx9NZ6t8QdatVS+vIFDR6ZCeTbQsevON78bioxwBn7EA2jAowPSg7u1Yybk7gfzX/ALc/ /J5nxQ/7HrVP/Sl69z/4IP8A/KRfw7/2AdV/9JWr9evEf7AH7GHjLxDeeK/Ff7NXhO+1LUbp7i+v rjS1aSeVzuZ2PcknJNafw0/Yv/ZY+DPi6Hx38KPgR4d0HWIInjh1LTdPWOVEcbWUEdiODWjnpYDs viT8OPCPxY8Bat8NvHWlJfaTrVjJa39tIOHjcYP0I6g9iAa/CL9vn/glN8ev2PfF+oa14c8OX/iX wE0hk03xFY25la3jJOI7lV5jdem7G1uoPUD9+QcJ8w+tNnht7uBraeFZEkUq0brkMPQj0qYy5QP5 XtpP3qXHGK/pO8X/ALD/AOyH491CTVfF/wCzb4NvbqVt0lxJoMIdz6kqASaxj/wTe/YOC/8AJqvg 3p/0CVrT20ewH85QGDkV2X7OP/Jw/gP/ALHPS/8A0rir3T/gsP4V+CHw9/bX1T4ffATwzpOkaXo2 j2kF9Y6NGqwpdlS8gOP4gGUH0PHY14/+yD4bvPGX7WXw08M6fEWlvPHekphRnC/a4izfgoJ/CtdH G4H7ef8ABZj/AJRzfEIf9O9p/wClcNfz+544r+ob4g/DbwR8WPCd14D+JHhe01rR77aLzTb+LfDM FYMNy98EA15f/wAO2/2D+/7K3g3/AMFK1hGfLGwHz5/wbu/8mL6z/wBlJ1D/ANI7Gvu+TO3Irl/h R8Fvhb8CPDcng74PeAtN8O6TLeNdyWGl24jjaZlVWkIH8RCKM+iiuqqJO7uB/P3/AMFW/wBi7x3+ yt+074i1weGp18H+KNWm1Hw7qkUX7j98xke3yOFdGLDacfLgjivl4LlQ/rX9SHjDwV4S8faLJ4b8 b+F9P1jT5hiax1KzSaJ/qrgivKrz/gnV+w3qM7XN5+yx4LLN126LGv6KAK1jU01A/nHgUecg/wBo fzr+gz/gol+xmf21/wBkA/DjRZo4fEGmww6n4Zml4X7VHFjyieyyKWTPYkHtXTn/AIJufsIqMp+y t4Nz/wBgla9rtreO3iWGONVWNQsaj+EAYxUyqc1gP5efiL8NvH3wj8YXnw/+JnhO+0XWLCVo7qwv 7cxuhB64PUehHBHIzWKBjmv6c/id+z/8E/jRGsPxZ+E/h/xEI/8AVtq2lxTMn0Zhkfga4L/h25+w iTk/sreDfw0lar2yA/nJIB4IpAgByBX9G/8Aw7c/YQ/6NX8Hf+ClaP8Ah23+wf8A9GreDf8AwUrR 7RAfjn/wRW/5SNeBP92//wDSOWvuL/g5D/5Nm8B/9j1/7ZXFfYfw+/Yj/ZO+Efi218e/DL4AeGtF 1iz3C11LT9PWOaLcpVsMOmVJH0NdH8XvgL8IPj5o1r4e+M3w50vxJZWN19ptbXVbYSJFNtK7wD0O 0sPxqXP3rgfzGnpX9F//AATJ/wCTA/hR/wBifbf1qY/8E2v2EO37K3g3/wAFK16z4J8GeGfh54Ws fBPgrQrfS9J023EGn6faR7Y4Ix0VR2AolPmA1qKKKzA/mJEUxOFib/vk1INL1VhldNuCPaFv8K/p mtdI0mzXZaabbwr/AHY4Qv8AKrH2W2xlYF/75r9el4r1ebTCr/wL/wC1PyuPhnHriP8AyX/gn82f wm+I3xL+BHxG0v4tfDuWSx1vRZml0+7ksxII2ZGQ/K4IOVZhyO9fV3g//gvH+3B4cVU8Qab4S15V +81/okkTH8YJEAP4Gv2cNpbsPmgX/vmq114e0O+XF/o9tN/12t1b+Yrycdx1lubTUsZl8ZtaX5ne 3a9j0MHwXmeWrlwuNcV2tpf7z8vPC3/BxN4xhCp45/Zs0+b+/JpeuSR5+iyRt/6FXpnhH/g4S/Z0 1Jo4/F3wh8VaWzH55LcwXCL7/fVv0r7c1X4JfBzXwU134UeG7xW5YXWhwSZ/76Q1zOr/ALF37JGt Bl1D9mnwO27q0fhm2Qn8VQV49TNOEKz1wMo+cZv9dD1qeW8VUdsZGX+KH6o8p8Df8Fkf2BfGyp53 xffR5G4EesaXPFz9QrL+teteDf2vf2W/iHtHg/4+eE75pMBY01yFWOe21mBz7YzXH63/AMEyP2Ed eBF3+zV4djZurWtu0R/8dYVxPiL/AIItfsB68jCH4W3mms3/AC00/Wp1YfTczfyrikuFK3wOrD1U ZL80zsi+KKa95U5+jlH/ADPpjV9A8F+ONJ+xa9pGm6tYzDPl3MCTxsPXDAivDPit/wAErP2GPi6k smrfA6w0y5lB/wBM0CRrOQH1xGdufqprzqw/4IyfD7wA7XHwC/ab+J3gl2bcsWma6DCW/wBpNq7v xNadl+yj/wAFLvhq+fh/+3rYeI4V5W18Z+Fw272LozN+tOj7HCyUsFj+V+anD8romt7TER5cZguZ eTjL87M+f/jR/wAG8tuxmvvgB8cmUdYdO8U2YbHoPOhA/wDRdeJeFPCf/BUz/glz4gbVtJ8Kapce G7ebzLy3t86hpNymeSyoSYsj+LCEetfoXY/F7/gpX8NIVT4lfsw+FfHVvH/rL/wL4m+yzEepguwN xPopFbnhn/goP8M5Ln+yPjN8N/Gnw7u84f8A4Svw7KtqT3xcxb4se7Fa+go8TZ/7F0cXGGKpdU2m /vXvJ+qPDqcP5LKsquFlPD1Fta6X46W+ZxP7FX/BXf4AftSCHwh4vmj8F+LpCqf2VqlyPIu3/wCm EpwDz/C2G9M9a+tkl3rwd1fMXxg/4J//ALCH7bGkT+M9J0bShf3mWXxN4Nuo45PMP8beXlHPruBJ 71xfgbQ/27/2AIl07Wbu4+Nnwzt8JG1r8uvaTEOhCOT56hcfKGJ4/hFfPYzCZTjpOeBbpz6059/7 sv0dj3sJi81waUcalUh0qQ/9uj09UfahcdqcDkZrjfgz8c/hn8ePDCeLfhp4ljvrf7txCymO4tJO 8c0TAPE47qwBrsgc9K+eqU505uM1Zrue/TqQqRUou6YUUUVJYUUUUAFFFFABRRRQBleOrie08E6x dW0rRyR6XcPHIpwVYRsQQfUGv5yLv9uL9saO8mjj/ab8bKqzMAP+Ein6Z/3q/pA8R6U2u+Hr7Q1m 8s3lnLB5m3O3ehXOO+M1+V8v/BtbrNxO8x/aytvmcnH/AAiTcf8AkxWlNxW4HwX/AMNy/tkf9HO+ Nv8Awop//iqbP+29+2FcwtBP+0z42ZXGGX/hIp+f/Hq+9f8AiGl1j/o7G2/8JJv/AJJoP/BtNrAG R+1lbf8AhIt/8k1pzUwPy8v7+/1O+m1PUryW5ubiRpLi4mkLPK5OSzMeSSe5r76/4IJfsf8AiL4n ftB/8NQeINLaPw34LEi6dcSr8t3qLoVVU9fLQlmPYslfQnwT/wCDc/4J+Etfh1v42/GbVvFkEMm9 dL0/T10+GT2dt8jkf7pWv0E+HPw18C/CfwbY/D74ceF7PR9F0uHyrHT7GERxxrnPQdSSSSepJJOS amVRWsgN5elFFFYgDHAzimeZtHzClY4Jr5g/4Ks/tg+If2Qv2am1/wAESCPxF4h1BdM0e6ZQwtWK M7zYPUqiHH+0RXXgcFXzHGQw1H4ptJHLjsZRwGFniKvwxV2fTn2uMPsLLn03U9JQ4yPyr4C/4J0/ sP8Ah7xz8FrX9rz9pbx1r2ueMvFdjJe2ms3WvTxyaVaEkqUdXBDcbic4AOAMZz7P/wAE5P2rbz4+ fAzXNY8aa+t03g/xJeaTJ4juCI01C1iO6K5YnADGMjd7jPeu3HZT9WdX2M+dU2oydrau607q6t+h w4PNvrEabqw5PaJuKbu7LXXtoz6Vkk2rkCuT+Hfx0+FPxY1XXND+HXjmw1e88N6i1jr1taSZeyuA SCjggY5VhkcEqeeDXm3x2/bo+Bngb9n7xn8VfBPxO0XWrjw7pbmKHT75JM3LkxwrweQZMDIyODX5 2/sn/Cn9rmH4deHovgz8UdH8I+KPi5rb+IdT1fUtWWHUL21gm8uOOKM581f3txOQeHBxnsezLeH5 YzBVK9afs7NKPNom7NyvpeyWpy5hn0cLjKdGjH2l027au2yt0u2frR49+Knw/wDhZoqeIfiR4w0/ Q7GS6S3jvNSulhjaVz8qBm4yewrchvYbiFZ4ZFZHUGORTwwPQ1+T/wC234a/as+M37S3gn/gnlrf 7R0fji4uLmDUtSvo/C8dkNPbDkyS7JD5gSHc+Mr1UdTX2zpXhPxdob6X8JPix+29Zx3UKQxw6P4d 0210q6njVlEaZeSWQAjauVIJzweazx2SU8HhaNT2qcppysk/hvaL2vrrvYrB51UxWKqw9k1GDUbt rWXVb20+Z9FrJkZYUGT5ScV4Dc/t0eGPDX7X2s/steOPDf8AYlnpHhdNXTxdqmopFb3AIQsoVgOB uxuDHlSMV03xj+N/hTWP2Zdf+I/ws+NHhqxju9Lmt9D8VXl8psYbxgUjLOuekhA7kHseleXLL8VG UFKLSlaztp7221/8z0o5hhZQk4yTcb3XXTc9XSXf0FO3e1eHfsq3njv4D/spaNqn7XXxr03UtUhi kuNS8RXV8nkLG7lok844EgCEfN3zx0Fdlo37Tv7P3iCfSrbRvjBoFxJrl01tpKR6khN3MoUtGgzy wDLx/tD1qamDrQqSjBcyTauk7O3mXRxlGdOLm1FtJ2bV1c2Piv8AGb4a/A/wt/wm3xX8XWmh6SLi OA316xCCRzhV4B6mug0zUrTVrGLUrC5SaCeNZIZY2DK6sMggjsRX54f8Fbtfvf2nf2lPhd+wF4Kv WkN1q0eq+IlhY/uchlXdj+5D5r/8DFfoR4Z0Sx8M6BZ+HdMi2W9jax29uv8AdRFCgfkK68bl8cHl 9CtKT56l3btG9k/nr8jmweYTxeOr0or3KdlfvK12vloX6KKK8o9QMD0ooooAKPwoooAKMZ6iiigA wPSjA9KKKADA9KCAeCKKKAGhAOg/Oo7qytLqMw3VvHIrcMkihgR+NTUEZ6ijbYLJ7nF2XwD+Euke Lv8AhO/Dngey0jWGb/SNQ0dTaSXI/uzeVtEy+zhgO1dcsI8vB/WpdvuaTbjvTlKc9ZO/qTGnCHwq x5v4x/Z08Map4tf4oeA5m8L+LzCI31zSo1X7YoORHdRfduU/3vmH8LKa6rwlq/ieWH+yvGelx2+o RRjzJLUlre4H99CeRz1RuRn+IfMd/bxgmkMeWzn9KqVWpOPLPWxEaMISvHT8hU+6KWgcDFFQahRR RQAUUUUAFFFFABRgelFFABRRRQAUUUUAFBOOtFB6c0ARTywwq0k7hVVdzMewr8uf+CgfxvuP+CoP xP0/9i/9lX4enWpvDOtveXvi64uvLtY2RGikI4I8obsbzyxxtB4J+6v299b8V6B+xx8StX8EGVdT i8I3n2d4c70BTDsMcghCxz2xXwB/wRw+Hni7x1+yl8WrL4C+O7Lw78RdQ1W2tIdZu4yz2dn5YYMu PmUsTKA3YgHqOPtOGaFLB4Krm8rc9OUYxveycvtStq0l0PjeJK1TF4ynlSXu1IuUrWu0vsq+l2e2 fsC/A/8A4Kj/AAe8a6J8NfjV4o8LN8M9Dsms5tJe4guZHtwrBFi8tQ4OccuQNvBBrM/4KdateeI/ ih8Of+Cc/wACba18O2/jzU0vfFUOjW6W6valyPmCAZGI5JG9fLHWvUL79k3wt+y98GdL+IFj411y 6+JFjdWQk8ST6/dSPrN/LNGjwNE7lXik3MBGV4HIwQTXQ/tK/sN+Ifij+0p4L/a4+EXxGtfD3jHw pbNZv/a2mm7tbq1ZZVwVV0IYCeXHODu7YzRDNMLLOPrlXlStK3LHli5pe7JpN9Xe/wCASy3FQyv6 rT5m7xveV2oNq8U9Omlj5S/bx+CHwi8fftLfCv8AYA/Z98Kw2M1jplsvjLULVmH2fS4XeVIpTnBY AzzFiMlpUJPOBnaH448BfF3/AIKCat8fLK5jt/hL+zj4b+zaTJb/ACW7PbxvHBDF675txAGcqg9Q a+mtG/4JmX+i/tKap8covjZd3Fv4o8Pix8YLcWA+3XspYGYxShtsCSgKpCqSq5VSM5GZ8Pv+CUNl 4Q+E3jb4LX/xJgm0LW9R1C98OwWmlmJrWedCkUty28+eYV+VFAVV5bkkbfQp51lcMLGk6rdoct7O 95v94/W2i8vuPPqZLmU8RKoqaV5X6WtBfu16X1fmfMXwK+NWofCf4afFT/gq18U4lm8W+OdQuNJ+ HOnzHJQs20suf+WcYCL/ALsBHVhnuPhp8PfH/wAGv2XfAPxo8R/C6D4ieNvi58QNP1Xxh/aEMl3q P2ASfaY0t0WRXZ40TzMA7Vb7w2jj2s/8Er9P8W/shL+zv8T/AIgw3OsWOiw6foGraXYGO10wRSiU OkLMSzyyLumckF84G0ACvUf2Z/2XvHPw6tdB1r45fEe38Ua34X0UaR4d/s+xNtZ2NqFClxGWJad1 VQ0hxwNqgDOefH55l06M5U2m+e1tdYRjaEVtZJ6vbXU6cHk+YQqQjUVly3vppJu82+76LfQ+cf8A gpp4svPB/wAAfE3xj8f/AA7t7fxV48az8L+BdI1KKG5u9LtNrvK3y7lSZy0jHYTt/dgkla+ffjB4 N8aeHvgv8I/+CUPw6Am8SeIryLXfHUiy5W0lmYyLbt2CxoS757xqe9foT+2f+yBrX7TurfD/AMUe GvGVlpGo+BPEh1KBdU003dtOrBQQ0QZdzqURlycdQetcRc/8E0Y7X9pe2+OXhr4pTWtvdeGZdL8S edal9Qu5ZZA81xFPuAhkkGULBTsViExwVWV53l+FwNOM370eadtWlJLlgvRK703e4sxybHYjGTlB aPljfS/K3eb9W9PJbHzufs/7d/7ePhn9kjS7iS6+E/wZ02MalbNMfK1aW2VIyzgH5laQhB1yiseN 2Bi+Lbf4XfGv/gqBda94H0uz0H4c/BuRtb8X6xDuW3kvIFUSSdSAS0UUSqoGRCSB1r6h0r/gnBrn wt/aV8Q/GT9nj4tw+FdF8aaWll4k0n+yvOnt1G3c9nIWCxu23IZ1bazE4PAGD4L/AOCSWl+FPD/x K+HEvxUk/wCEV8bXUt1Y2NvZn7TFMYysX2iYsTPHEzF1QbdzHLE9K6IZ1ldN3hUaXs1GKs95P95J 6WctXbp5mMsnzOpG0qd3zuUndaqK9xLrbRXPKP8AgnjLqXjX4q+Nv+Cg3ivw59q8RfELxQ2hfDjT 7zJYwlh5soxkhI4YwrOOiwuO/P6TW+duW698V4d+xx+yHdfs2+B9E0Lxl4xt/EGqaDo50zS57Ww+ z29lbGTzHEaEsfMkbDPITlsAYAGK9ziGK+UzzHUsfmEp0/hWkf8ACtEvkvxbPp8jwVTBYFRqK0nq /V6u/wA9vKw6iiivHPZCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigCvfWFlqNrNY39rHNDNGY5YpF3K6kYIIPUEV+TP7dHg4f8Evv jXD8XP2OvEuqeHbjXpmTUNHmmSfT2Q5bYIimdoPQFjt7Yoor7bgf95j50Z6wlF3T1T9Vs/mfG8Zf u8LTqx0kpKzW69Huj7W/YxtdQ/aE8N6L+0H8ZvEN7r2tWsW7S7W58tLLTpGXDSwwxoo8wgkeY+5g CQCAa+lIlVo8kUUV8/nkY08znCKslslsvRdD3snblgYzlq3u+r9WP2L/AHaTy0/u0UV5CPUDy0DD C0BV447UUUuwC7VznFII0HRaKKYA6KB92kCqzciiigGOCKOi0oAHQUUUwCiiigD/2Q== ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image011.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEA3ADcAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYF BgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoK CgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCADeAfwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9/KKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKMj1oAKKKKACiiigAoooo AKKKKACiiigAoqh4o8U+G/BPh+88V+L9dtNM0zT7dp76/vp1iigjUZLMzEAACvz8/aU/4OG/gN8O 9VuPDX7PXw8vvHE8DlDrN3ObGwYjj5NymWQZzztQdwTTUXLYD9EqK/GPVP8Ag47/AGvZrpn0T4Of Dq3gJOyO7s76Z1HoWW6QH8qr/wDERt+2r/0Sv4X/APgn1H/5OqvZzA/aSivxb/4iNv21f+iV/C// AME+o/8AydWv8Pf+Dhb9snxZ4+0PwtqPww+GiW+p6xbWk7w6TqAdUklVGKk3pAOCcZB+lHs5gfsb RVPxBr+k+FtAvfFGvXXkWOnWcl1eT7Gby4o1Lu2FBJwoJwASe1fMX/D7D/gmd/0ch/5aWrf/ACLU 2bA+qaK8o/Zq/be/Zi/a+m1aD9nj4lf8JA+hrE2qD+yLu18kSbth/wBIij3Z2N93OMc16vSAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAorhf2hP2k/gv+yv4DX4mfHfxj/YeiNex2gvfs Fxc/vnDFV2QRu/IU84xx1rxD/h9h/wAEzv8Ao5A/+Ejq3/yLTSbA+qaK5X4LfGz4Z/tDfDnT/i18 IPEf9reH9UDmxv8A7JLB5uxyjfJMquMMpHKjpXVUgCiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAoorM8Z+MvC/w+8L33jTxprttpmlabbNcX19dyhI4Y1GSxJ/l36U4xlJpR V2xSlGEXKTskHjLxh4X8AeFr/wAaeM9dttN0rTLZri+vruUJHDGoyWJP+T0rm/gH+0F8JP2mPAEH xN+Dfi+HV9KmlaJnVCkkMq9UkRgGjYdcEcggjIINfjv/AMFN/wDgpx4o/bF8US/Dv4c3Nzpvw606 5P2W1yySavIrcXM4/u8ApGfu9Tz08q/Ym/bX+Kn7E/xSi8b+CrprvSLt0TxB4ellIg1CEE/98yKC Sj44PqCQf07D+GmOrZK8ROXLXeqh0t2b/mf3LZ+X5xifELB0s3VGMb0NnLz7r+6vvZ/QpRXA/s3f tI/C39qn4WWHxY+E2urdWN3GBc2znE9jPgFoJV/hdScehGCCQQa76vzStRq4erKlVi4yi7NPdM/Q 6NaliKaqU3eLV011QUUUVmahRRRQAUUUUAFIzBVLE4A70teAf8FP/j9dfs3/ALEHjrx9pN79n1S6 0w6Vo8qthkubs+Srr/tIGZx/uUWuB+XH/BZD/go/4i/ag+Ld98CPhn4hkh+Hnha+a3ZbaQqus3sZ 2vPJg/PGrBljHTAL/wAQx8Qgd6Vmd2LuxJJySTyTWt4A8C+Kvif440j4ceB9Ke+1jXdRhsdNs4+s s0rhFXPYZPJPAHJ6V1RSirDaMiiv3J/ZD/4Id/sn/BbwVY3nxx8J2/j3xZLCr6lcaqWaxgkPJjhg BClR03PuLdeMhR70v/BPf9hVQFH7H/w34HfwdZn/ANp1HtYiP5vK6b4K/wDJY/CX/YzWH/pRHX9D 3/Dvj9hX/oz/AOG3/hG2f/xupbD9gf8AYi0q+h1PTf2Svh3b3NtKstvPD4QtFeN1IKspEeQQQCD7 Ue1iB1X7QYz8A/G3r/wiOo4/8BZK/mMyexr+pXxR/wAI9/wjeof8JatsdK+xS/2kLxQYTb7D5m8H grtznPGM18k/aP8AghkeukfADP8A2CtO/wDiKiEuUasfNH/BtVzrPxXz/wA+ul/+hXFfq5XjP7KM n7CL3Gs/8MZ2fw+ilCQ/26fA9pbxErlvK87yVGRnfjPvXs1RJ3dxBRSM6ICzsAAMkk8CvP8Axv8A tYfsxfDa7fTvHn7QPg7SbmM4ktL3xFbpMn1TfuH5UgPQaK8b/wCHhv7Dg/5uq8Ef+D2L/Gk/4eG/ sN/9HVeCf/B7F/jTswPZaKx/AXxA8E/FHwlaePPh14osta0a/VzZanp04lhnCuyNtYcHDKyn3U15 1qn7fX7FmiancaNq/wC074Ntru0neG6t5tbjV4pEYqyMM8EEEEe1KzA9dorxv/h4b+w5/wBHVeCP /B7F/jR/w8N/Yc/6Oq8Ef+D2L/GnZgeyUV5R4f8A26v2NfFOoppGg/tPeCLi5kOI4v8AhIoFLH0G 5gCfavVLe5t7uFbm1nSSNxlJI2DKw9QR1pWaAfRRRQAUVn+IvFfhjwfpr6z4u8RWGl2cQzJdajeJ BGo9SzkAV5nqf7e/7FWj3LWl/wDtS+BVdTghPEcDj81YihJsD1yivG/+Hhv7Dn/R1Xgj/wAHsX+N aPhD9t39kX4geJrLwX4I/aK8Jarq2pTiGw06y1iN5Z5D0VVByT7U7MD5r/4ODgP+GEICOv8Awm1h /wCi56/ELJ9TX9MH7TT/ALMSfDpG/azt/Cknhb+0Itq+MbeGS0+04by+JQV343YPXrXz95//AAQx /wCgR8AP/BVp3/xFXCdkPQ3f+CLgH/DuXwDx2vv/AEsmr6orjfgIfgY3wu01v2cIfD8fg/8Aef2S nhiGNLIfOd/lrGAo+fdnA65pnxY/aO+BHwJns7b4yfFnQ/DUmoo7WKaxfrCZ1TAYru64yM/WoerE drRXjX/Dw79hs/8AN1Xgn/wexf40v/Dw39hz/o6rwR/4PYv8aLMD2SivILL/AIKA/sSahcraWv7V Hgcu5wobxDCo/NmAFeneGfF/hTxrpSa74O8S6fq1jKMxXmmXiTxOPZ0JB/A0mmgNGiiigAooooAK KKKACiiigAooooAKKKQnHagAYkdPWjOODXgv7YH/AAUZ/Zv/AGNbA2nj/wAR/wBo+IZIt9n4W0ki S7kz0L87YV/2nIz2B6V+av7QX/Bc39rn4o389l8LP7P8B6SzEQpp8QuLwrn+KeUYz/uotfUZLwdn meRVSjDlh/NLRfLq/krHzWb8V5Nk8nCrPmn/ACx1fz6L5s/aQsAMikDqOC2T9K/nU1v9s39rjxHe tqGtftN+PJ5WOcnxXdgL9FEgC/QAV13wr/4Kdfty/CO/ju9E/aH1/UoUYE2XiS6OowsPTE+4gf7p FfU1PCvNY0rwrwcu3vL8bP8AI+ch4lZa6lpUZKPfR/h/wT9/Xfahbk4B6CvxO/4Kv/8ABQz4n/tI fE3Uvgfpun6n4a8G+GtSe3fRbuNobi/uI3I865Q4IGRlIz93qeTx9afsWf8ABcz4a/FvUrT4eftN aRa+ENauWWO3162kY6bcuegfdlrYk92LLzywruP+CmP/AATK8I/tl+E2+LXwmjs7H4gWdmHtbuPa sOtwgZWGZhxux9yXtwDlcY8/h6hT4T4his6oNX0jJ7Rf8y6Nee8Tsz6tU4nyJvKa17ayitG12fVP y2Z+J3fpQAB0FX/FfhXxJ4F8T3/gzxjoV1puqaZcvb31jeRFJIJVOGVgfTFUK/oKM4zipRd09mj8 PacXZ7o9j/Yp/bV+Kf7E/wAVIvHfga7e60q6dY/EPh+aYiDUIQT1H8Mi5JV+qk9wSD+6v7Nn7S3w r/aq+Fdh8WPhNrq3dldKFurVziexnwC8Eq/wupP0IwQSCDX844AHSvYv2LP20/ip+xP8UovHPgG7 a50u6dU8Q+HpZSINRhBPUfwyKCdr4ypPcEg/B8ZcG0s+ovE4ZcuIivlJdn59n8npt9pwnxXVySqs PX1oN/OLfVeXdfNH9C340V59+zP+0x8K/wBq74WWXxX+FGtpc2dyoW7tHYCexnwN0Eq/wsp/AjBB IINeggg9K/nytRq4arKlVi4yi7NPdM/c6NalXpKpTleL1TXVBRRRWZqFFFFABX5zf8HH/jS40z9n LwL4EhnITVvF8l1NGD94W9swB/Oav0Zr8sv+DlyWRbP4QQDOx5dbZueMgWWP5mqh8aA/Kivur/g3 3+Dth8Q/20bz4gavZrND4L8MzXlruAOy7mdYI259EaUj3we1fCtfqH/wbT2Vs/if4taiyjzo7HSY 0P8Ass90T+qit6jtED9YRwKKKK5gCiiigDj/ANoT/kgnjfP/AEKOpf8ApLJX8xdf06ftC/8AJA/G /wD2KOpf+kslfzF1tSH0P1I/4Nqf+Qz8V/8Ar10v/wBCuK/UL4ieP/CHwq8Dar8R/H2txabo2i2M l3qV9MfliiRck+pPYAckkAcmvy+/4Nqf+Qz8V/8Ar10v/wBCuK7r/g4s/aF1Pwh8GvCX7O2hag0L eLNRl1DWRE5BktLUKEibH8LSyK3uYR71MlepYGfHP7fv/BXn4/ftb+J77wx8PvEWoeEPAEcrR2Wj 6ZdNDcX8Y48y7kQgvu6+WDsXjhiNx+QmyzF2JJJ5JPWg5xwK/TT/AIJaf8EV/Afxq+Fdh+0V+1fH qEthraGbw54XtblrcSW+cLc3Dr8+HwSqKV+XDEndgbXjBCPzLyPWjGeBX9A0f/BG3/gnGiBP+Gcb M4HU6rd5/wDRtL/w5v8A+Ccf/Rt9l/4Nbv8A+O1HtY9h3G/8EZgP+HaXwwA5/wBF1L/063lfhZ+0 V/ycF46/7HLU/wD0rlr+k34QfCH4efAb4c6b8JvhT4dTSfD+kLIun6fHK7iESSvK/wAzkscvIx5P ev5sf2if+TgfHX/Y5an/AOlctTT3YI46ivpr/gk9+yj8KP2yP2o5fhF8ZI9RbSF8NXV8o0y88iQT RvEF+bB4w7cYr9LP+Ifz9gH/AJ9vGP8A4Uf/ANrrRzjF2Yj8OeD+VfXn/BMz/gqT8UP2PPiJpvgj x74nvdX+GmoXKw6npV3M0p0pWIX7TbZyU28Fox8rDPG7BHSf8FdP+CWfgz9hbT9A+KXwe8T6ne+F td1E6dPY6zIkk9ld+W0q7ZFVd6MiPwVypTknIr4fHFP3ZxA/qesL+y1Sxh1PTbpJ7e4iWSCaJtyy IwyrAjqCCCDXy1/wVE/4KU+Hv2C/h7baZ4bs7bVvHviCFjoOk3DExW0QOGu5wCDsBBCrkF2BAOFY jtP+CZvi7UvGX7Anws8Qa5cGSceEoIJZXbJYQ5iDEnuRGCa/D7/gop+0Fqn7TP7Yvjb4l3l+81km ry6doaF8rDY27mOJV9AQC5x/E7HvWEI3kBxfx0/aS+Of7SviuXxl8bviXqmv3cjlokvLlvItwSfk iiHyRKMnhQB+dcOMdq3vhd8M/Gnxl+ImjfCv4d6O9/revX6WmnWiHG+Rj1J7KBkkngAEnpX66/BL /g3a/Zp0Lwfbf8L28feJNf8AEEkQa9bR7tLOzicjlY1KM7AHI3M3PXaK3coxA/Gyvev+CXn/ACkG +E3/AGN8H/oLV+pv/EP7+wF/z7+Mv/Cj/wDtddP8Ff8Agiz+xf8AAT4raF8ZPAcHigaz4dv1vNON 5rnmReYucbl2DcOemah1ItWA47/g4Ox/wwdBgf8AM72H/ouevxCr9vf+Dg7j9g6D/sd7D/0XPX4h U6Xwj6H7+f8ABFv/AJRyeAfpfZ/8DJq+Q/8Ag5Vx/wAJb8KR/wBQ/VP/AEO3r69/4It/8o5PAP8A u33/AKWS16p+0V+xb+zV+1hd6Xe/H34aQ+IJdGjlTTWmu5ovJWQqXA8t1zkqvX0rK/LMR/NcDjtS 7v8AZH5V/QN/w5w/4Jx/9G32X/g1u/8A47Qf+CN//BOM/wDNuFl/4Nbv/wCO1oqysO5/PxxnNek/ s0ftafHb9knx5b+Pfgr45u9OeOYNe6Y0rNZ36DrHPDnbICOM9R1BB5r9VP24v+CHH7L+sfBHXPF/ 7Nfha68L+K9E02a9sba31CWa21Dy0LmB0lZtrMFIVlIwxGcjivxiqouM0Fz+kz9in9q7wf8Atm/s 9aJ8cPCcYt5LtDb6zpu/cbC+QASwk9wCQVJxlWU969Yr8pP+Da74j6l/a/xQ+EtzdO1n9m0/VrOE t8scgaWGY49WBhH/AAAV+rdYSXLKwgoooqQCiiigAooooAKKKMgdTQAhYKMk1+fH/BTv/gsDY/By 4v8A4B/sw6nb3nilVaHWvEqESQ6S2cNFF2knHc8qh45bIWX/AILCf8FNbj4IafcfsyfAfX9nizUL b/ioNZtJfm0iB/8AlkhHSdx36opB6sCPyKeSaaVpp5C7sxLsxyWPck1+r8D8DxxsI5hmEfc3hF/a /vPy7Lr6H5hxjxjLCzlgMDL3tpSXTyXn3fT1LfiLxF4h8X65d+JfFWuXepajezNNeX99O0s08hOS 7OxJYn1NUwMDAJ/GjIPIr1H9lv8AY5+PH7X/AIv/AOEV+DfhB7mOFgNR1i5Pl2dip5zLKRgHGcKM sewNfs1fEYXAYd1KslCEd76JI/JqFDE4zEKFKLnOXa7Z5fn2pMEnPHFfr98A/wDggP8As7eD9Mgv vjz4u1bxfqhUGe1spjY2StjlQEJlcA/xF1z/AHR0rt/iL/wQ8/YX8ZaHJZ+GPCuseGb7ZiC/0vWZ ZNrdsxzl1YfkfevhaviXw5TxHs0pyX8yjp+LT/A+0peH2f1KHPLlT/lb1/Kx+JQDAkqv5195f8Es v+Cr+r/ATULL4CftDa5PeeCbiRYdI1i5kaSTQ2PAQk5LW54GP+WfUcZFeM/t2f8ABNX41fsQ6suq 6q/9v+EbqbZYeJ7KAqisTxHOmSYXPbJKnsTyB85gjIevosTh8l4uym11OnLaS3i+66prs0eBh6+b 8L5nezhUjuns1+q/4c/a/wD4KUf8E2PBP7bXglPjD8HHsLfx1b2Cy6ff2zJ9n16DaGWKV14JK/6u XnGQD8vT8YfF3hLxN8P/ABPe+C/G2h3Omarpty9vf2N5EUkglU4ZWB9/z/Gvtv8A4JWf8FVNT/Z5 1C0+Afx91ia68DXMwj0rVJ3LyaE5PA7k25OMr/B1HGRX2L/wUk/4Jt+Bv23PAq/GH4QyWFv47trE S6bqUDL5GuwbdyRSuvBJX/Vy5OM4OVPHwuV5pmHBOYLK80fNh5fw59v+B3X2fQ+yzLLcFxdgXmWW q1dfHDv3+fZ9fU/E+kwd2QcVpeL/AAh4o8AeJr/wZ410O50zVdMuntr+xvIikkMqnDKwPv8Ah/Os 6v1eE4zipRd09j80lCUXaSs0ewfsX/tofFP9in4pxePfAV29zplyyR+IPD80xFvqMAPQjosi5JR8 ZUnuCQf3W/Zn/aZ+FX7Vvwssfit8J9bW5tLhAt5ZuwE9jPjLQTL/AAsD+BHIyCDX85B3Z+U16/8A sZftm/Fb9iz4pw+Pfh/fNPp1wypr+gTSkW+owA/dYdA4ydj4ypPcEg/CcY8G0s+pPE4ZKNeK+Ul2 fn2fy22+z4U4sqZJV+r17ui3/wCAvuvLuvmj+hoGivOv2Y/2nPhZ+1h8KrL4r/CrWlntrhQt9ZSM BPYXGPmglX+Fh69GGCMg16LkZxX8+VqNbD1ZUqsXGUXZp7pn7pQr0sRSjVpyTi1dNdQooorM1Cvz J/4OUfDklx8Nfhf4tVSVtNc1C0Yjt5sMTj/0TX6bV8c/8F0fg7dfFT9gXWtb021Mt34P1a11tNq5 byULRTfgI5mY/wC4KqGk0B+ENfo3/wAG3vjuy0r9oTx58PLi42y6x4Viu7dCcbzb3ADfkJ/51+cg IPQ16r+xL+0tqf7Iv7TXhb46WEDzW2l32zV7SM4a5sZBsnjH+1sYle24LXRNXjYZ/SfRXOfCj4sf Dz42+AdN+Jnwu8VWmsaLqtuJrS9s5QwIPVWHVXB4ZTgggggEV0dcogooooA4/wDaF/5IH43/AOxR 1L/0lkr+Yuv6dP2hf+SB+N/+xR1L/wBJZK/mLrakPofqT/wbU/8AIZ+K/wD166X/AOhXFea/8HFe vXGo/tkeHNFdj5WneA7cIueMvc3Dk/U8D8BXpX/BtT/yGfiv/wBeul/+hXFef/8ABxp4VuNM/ay8 JeKxC3kar4HSNZCODJDdTBlH0V4z/wACp/8AL0GfntjPBr6k8P8A/BZb/goR4X0Ky8NaD8aLW1sd PtY7aztofDViEiiRQqIB5PAAAH4V8t9Oa/QT4Xf8G/3xR+L/AMOtE+KHgr9pnwhc6Tr+mQ31hMLC 55jkUMAevIzgjsQRVycVuI8q/wCH2n/BR/8A6LrD/wCE5Y//ABmg/wDBbT/go+Bn/hesP/hOWP8A 8Zr3T/iG2+Pf/RxXhH/wX3X+FJ/xDbfHrv8AtFeEv/Bfdf4VF6Y9D9SP2Y/GHiH4h/s6+BvHvi2+ Fzqms+FLC81C4Eap5k0kCO7bVAAySTgACv5xv2if+TgfHX/Y5an/AOlctf0jfAb4e6h8Jfgp4T+F 2q6hFd3Ph7w9aadPdQKQkrwxKhZQeQCVyM+tfzc/tE/8nA+Ov+xy1P8A9K5amnuOO59af8G+f/J+ c3/Ykah/6Mgr9v6/ED/g3z/5Pzm/7EjUP/RkFft/Sq/ESfnz/wAHHf8AyZ14P/7KZb/+m+/r8Ya/ Z7/g47/5M68H/wDZTLf/ANN9/X4w1dPSBSP3/wD+CcuuS+GP+CU/gvxJBjfp/ga8uUz6o07D+Vfg CzvKxlkcszHLMxySfWv6BP8Agmnocfif/glx4E8NyuVXUPBlzbFgOm951/rX8/8AfWF3pd7Npt/A Yp7eZopo26q6nDA/QgiinuxLc+5f+DfDwFpXiv8Abku/E2o26SS+GvBl5e2RdQdkskkNvuHodkzj Pua/bqvwu/4IMfF3Rfhl+3fa+H9dvY7ePxh4eu9It5ZWwpnylxGmT3YwbR6kgdTX7o5FZ1L8wPcK KKKgR8M/8HB3/Jh8H/Y72H/ouevxBr9vf+Dg7/kw+D/sdrD/ANFz1+IVdFL4QP39/wCCLf8Ayjk8 A/7t9/6WS1a/4KPf8FMPhx+wH4UtbOTSl8QeNNahZ9F8OpceWqxg7TcTuASkYOQABlyCBjDMtT/g i5/yjk8A/wC7ff8ApZLX49/8FNfjHrPxv/bm+I3ifVL1poNP8SXOkaWpfKx2lpI0EYX0B2F8erms 1FSm7geo+Nf+C73/AAUM8U6tLfaJ470Pw/bMxMVhpfh2B0jHYbpxI5Pvn8Kxf+H2f/BR/HPx2g/8 Jyx/+M14h+zD+zV8S/2tvjLpnwP+FFtbNqupLJIZ72by4baGNC8ksjAEhQB2BJJAHJr7hi/4Nt/j +0atN+0R4QVio3KthdEA+mcc1o/ZrcZ4Re/8Fqf+CjGoWc1hd/HGF4p4mjkX/hHbEZUjBH+q9DXy qWd3Z3HLEk4Hev0b1X/g3G+O2k6Xc6pN+0P4TZLaB5XVdPuckKpJA49q/OaeIwTvAWBKOVJHscVU XHoGh+jf/Btuf+MiviGP+pKi/wDSuOv2Hr8eP+Dbf/k4v4h/9iVF/wClcdfsPWFT42IKKKKgAooo oAKKKKADpXi37fX7V2k/sd/s36z8V5vKm1Z1Fl4csZG/4+b2QEJx3VQGkb/ZQ+or2n6V+QP/AAX8 +O934u/aJ0H4E2F239neFNEW6u4g3BvbkknI9oVix/vtX0nCWTxzvPaWHn8C96X+Ff5uy+Z89xRm ryfJqleD99+7H1en4b/I+FPFnirxF468UX/jPxhq81/qep3clzf3ly5Z5pXYszsfUk1Q9cDJ60Dp Xof7K37OfjD9qz47aF8EvBiFJdUuN17fFCyWdqg3SzN7KoOBkZJC9SK/pmrWw+CwzqTajCCu+ySX 6H8806dfF1404JynN/Ntnpn/AATu/wCCeXjv9uLx+Li4afSfBGkzL/b+uiLJY9fs8OeGlYYyeQgO 454Dft78Gfgr8MfgF4Asfhr8JvCVto+kWEYWOC3QbpGxgySN1kc92bJNM+BXwQ+H/wCzt8LtJ+Ef wz0dLPSdJtVjjAUb5nwN00h/ikY8lj3rr6/m3irinF8R4t6uNGPwx/V92/w6H9AcN8N4bIsKrpSq y+KX6Lsgooor5Q+nMbx/4A8G/FHwfqHgH4geHbbVdH1S2aC+sLyMOkqH2PQg4II5BAIwRX4lf8FK P+CaHjT9i3xZL4x8FxXOrfD3U7lv7M1EqWfTmY5FtcEdD0CucB/rkV+51Y/j7wJ4R+JvhG/8B+PP D9tqmkapbNBfWN3GGjlQ9iD0PcEcggEcivpuGeJ8bw5i+aD5qcvij0fmuzXf5M+c4i4cwmf4Xlnp Uj8Muq8vQ/md6gHGCa+6v+CWH/BVbVP2dNUsvgH8etWlu/AtzKI9M1Ody76E7cAdy1uTjK/wckcZ FcF/wUs/4JoeMP2L/GEnjTwZFdar8PNVuj/Z2obC0mmOx4tbgj0zhZDgP9civmLwv4Y8ReNvElp4 R8KaJc6jqepXCQWNjaRF5ZpGOFVVHJJJr98rwyTi7JeaTUqUle+zi+/k11/yPxHDyzjhjN+VJxqJ 2t0kv1UunX5o/aP/AIKQf8E2vAf7cngVPi98IZ7C28cQaeJtM1O2ZTb65Bt3JFK68HI+5LzjODlT x+L/AIx8IeKfh94pv/BHjXQLrTNW0y6e3v7C8iKSQyKcFSD9Px61+8P/AATP/Zs+Ln7Lv7M+m/D7 4x+PZ9V1GVvtMelO4eLRUYD/AESN+S4B5PO0MSFGOW4H/gqb/wAE0vD/AO1v4JuPij8NNLgtPiJo 1qWt5I0CjWYVGfs0v+3gHY56H5TwePzLhbi+GR495XiKvtMOpWhPtrp/26/w3Wh+h8ScLTzfBrMq FPkr2TlDv/wV+PXU/Eug5A4FTalpmo6LqVxo+r2Uttd2szQ3VvOhV4pFJDIwPIIIIIPpUNft6aau j8haez0PZ/2Hf20/iN+xR8YLfx54VuJbvRbt0i8S6AZiIr63B546LIoJKPjg56gkH96Pgz8X/A3x 3+GmkfFj4cayl9pGs2iz20ynlM/ejcfwupyrKeQQRX82GBjGK+6v+CJH7bt58GPi+v7Nnj7WT/wj HjS6VdKM8nyWGpnhNueizcIf9oIfWvzXxA4Wp5jg3mGGj+9pq8v70V+q3Xlp2PvuCOI54DFrA15f u5vS/wBmT/R/mfsdRSL0H0pa/BT9uCsvxt4Q0D4g+DdW8B+KrBbrTNa02ex1G2ccSwSxtG6n6qxF alFAH8137Zv7LXjP9jv9oLXfgt4vtpjFaXLS6LqDxkJf2LkmGZT0OV4YAnawYdq8sr+i/wDbt/YC +Dv7eHw5Twr4+jOna3pyu3h7xNaQhriwkYcgjI8yJiBujJGcZBUgEfjl+0l/wR+/bg/Z21e58r4V XvjHRY3P2bW/CFu94JE7M0CAyxHHUFcDn5iOa6ITT3A8W+DX7TX7Qn7PV3JefBL4x+IPDXnNung0 zUnSGY9i8WSjn3ZTivVE/wCCt3/BRVRg/tQ62ff7Pb//ABqvD774X/EvS7hrTU/h5rttKhw8VxpM yMp9CCuRUH/CA+O/+hK1f/wWy/8AxNV7lxnvH/D2/wD4KK/9HQa3/wCA9t/8are+Ff8AwVb/AOCg uu/E/wAOaJq37S+szWt5r1nBcwtb2+JI3nRWU4j7gkV80/8ACA+O/wDoStX/APBbL/8AE10vwZ8C eOIvjB4Ull8G6qqr4lsSzNp0oAH2hOT8tL3AP6Of2hOfgF43/wCxR1L/ANJZK/mLr+nX4/xyTfAf xpBDGzu/hLUVVVGSSbaTAxX80H/CA+O/+hK1f/wWy/8AxNRSaQdD9M/+Dan/AJDPxX/69dL/APQr ivZf+C/f7L2rfGH9mLTfjR4R0x7nUvh7fyT30cUe5jpkyhZ2GOfkdIXP+yHPavJf+Db3QNd0PWPi odb0S8s/MttL8v7VbPHuw1xnG4DNfqTqem6frOnz6TqtjDc2tzE0Vzb3EYdJY2GGVlPDAgkEHrmp k7VLoD+WLqK+1f8AgnD/AMFjvHX7FHhX/hT3xD8HTeLvBSTNLpsEN8IbvSmdtziIsCrxkknyztwz Ehhkg+r/ALf/APwQa+IWgeJ7/wCJ37F9pHrGiXUjTT+DJZxHdWBOSVt3c7Zo/RSQ65AG7Ga+BfGf 7O3x++HWpPpHjz4J+LNHuUbBi1Hw/cRE+43IAw9xkVpeM0Fz9Yk/4OOv2WyoL/Bjxsp7j/RTj/yJ S/8AERx+yz/0Rrxr+Vt/8cr8gP8AhAfHf/Qlat/4LZf/AIml/wCEA8d/9CVq3/gtl/8AiaXJAD+k 39lv9obwx+1Z8B/D/wAfvBuj3thpniGOd7W01Hb50YiuJYG3bSRy0RIwehFfzmftE/8AJwPjr/sc tT/9K5a/dr/gjrY3umf8E3PhnZalZy28yWupb4Z4yjrnVLs8g8jg5r8Ov2hfAvjaf4++OJofB2qu j+MNTZGXTpSGBupMEHbyKmnuwW59P/8ABvn/AMn5zf8AYkah/wCjIK/b+vxO/wCCAvhbxPo37dUt 5q/hy/tYv+EKv1825tHjXPmQcZYAZr9saVT4hH58/wDBx3/yZ14P/wCymW//AKb7+vxhr9pv+Dij R9W1v9kHwha6NpVzdyL8SbdmjtoGkYL/AGffDJCg8cjn3r8cP+EA8df9CVq//gtl/wDiaun8BSP6 A/8Agk2M/wDBO34WD/qAN/6Plr8e/wDgrN+zBq37MP7aHifTxpzx6F4pu5Nd8O3AjIjeG4dmeIHp mOXemOuNpP3hX7E/8EprO707/gnv8L7HULWSCaPQGEkMyFWU+fLwQeRW3+3H+w38Jv26vhQ3w7+I itZahZu03h/xDbQh59NnIwSASN6NgBoyQGAHIIBGcZcs2Sfzn6JreseGtZtPEXh/U57K/sbhJ7O8 tpSkkMqEMrqw5VgQCCK/Rv4I/wDBxx8WPBvhC28P/Gz4C2HjDULaJYzren68dNknwMbpI/IlUue5 XaM9q+cv2lf+CSX7bX7N2s3Ec/wl1DxZo0bE2+veEbR72OSPnDPFGDJEcDkMuB6kc14FdfDX4jWM zW954B1uGRThkl0qZSD9CtbNQlqxn6f/APETDpHf9ja4/wDC/X/5Bru/2Yv+C+emftI/H/wp8Cof 2W5tHbxRqyWK6m3jNZxbbgTv8v7Im/p03D61+QH/AAgPjv8A6ErV/wDwWy//ABNe7f8ABMfwZ4w0 /wDb9+FN7feFNThhj8WwNJLLYSKqja3JJGAKhxp2A/TH/g4NOf2Dbc/9TtYf+i56/EKv3E/4L+aX qes/sMQWmkabcXUv/CaWDeVbQs7Y2T84UE4r8Uf+EB8d/wDQlav/AOC2X/4mnSaUdQP3m/4IugH/ AIJx+AQf7t7/AOlktfiz+3T4H1L4b/tlfE/wfqsDxvb+ONSeHzBgvBJcPLE//Ao3Rvxr9rP+CNNh e6Z/wTu8B2OpWctvMgvd8M8ZRl/0uXqDyK8V/wCCxv8AwSk8U/tO6rH+0l+zrYQz+L7ayW317QC6 xnV4U/1csTMQvnIuVIP31CgEFQGmMkp6iPzN/YI/a6v/ANiP9pHS/jrb+FV1u1gtJ7LU9M+0eS81 vMuG2PtbaysFYZGDtwcZyP0th/4OO/2XXiVpvgt41RyMsmbU4P18zmvyZ8Y/AT45fD7WZfD/AI6+ DvijSL2FsSW2oaFcRNnPUbkGR7jg1k/8IB47HH/CFat/4LZf/iauUYSd2B+umvf8HFP7Luq6HeaV F8HfGqtc2kkSsRbYBZSM/wCs96/He5lWe7lnQcPIWGfc5rT/AOEB8d/9CVq//gtl/wDiaX/hAfHf /Qlav/4LZf8A4mnHljsB+g3/AAbb/wDJxfxD/wCxKi/9K46/YevyF/4Ny/DfiLRP2hfiBPrOgXto j+DIlR7q0eMMftcfALAZr9eqxqfGwCiiioAKKKKACiiigAPTmvwO/wCCr1/e6h/wUF+JUl8xzHq0 MUYY9EW1hC4/Dn8a/fH61+K3/BdT4NX/AMPf2zX+IKWjDT/Gmi297FcBflNxEPIljz/eAjjb6SCv 0bwwr06XEMoS3lBpeqaf5I+B8RaVSeRRnHaM039zX5s+MB0r9Tv+Deb4L6ZF4K8cftBXlsj3lzqi aDYysvzRRxRxzygHtuMsWf8AcFfljwev6V+rH/BvP8ZNEufhj41+ANxdompWWuDXbaFm+aaCaGKB yo7hWgTPp5g9a/R/EJ4hcL1fZ9483pf/ADsfAcDew/1jp+07St620/C5+j6kj5T1xS0g55pa/nI/ fEFFFFAwoIB60UUAY/jvwH4Q+JfhDUPAnjvw9bappOqWzQX1hdx745UbqCD37gjkEAjBFfPn7HP/ AAS3+AH7HXxC1v4leGTPrWq313J/YdxqkYZtGtG/5YRnJ3PyQZThiuBgc7vps57GkCkdTk967KOY 47DYaph6VRqE/iSejscdbAYPEYiFepTTnD4XbVXDYoOQMfShun8qWiuKx2H4/wD/AAXd/ZLsvhZ8 XtM/aL8GaYsGm+Nnki1mOGPCRalGATIfQyod3u0bnvXwNnLEelfuN/wWw8F6f4r/AOCf/ibU7iFT caFqOn39m5HKN9pSJj/3xK9fhyBjiv6N8Pcyq5jw7FVXd024X8kk19yaR+Bcc5fTwGfSdPRTSlb1 un+KuLUun397pGoQatply8NzbSrLbzRnDRupyrAjoQQDUVFfbtKSs9j5C7Tut0f0N/sKftBJ+07+ yt4P+Ls0yNfXmmC31gKfu3sJMU3HbLoWA9GFeu1+dH/BvD8SLjV/hN4/+FNzckromt2moWsZP3Vu o3Rsf8Ct8n/er9F/xr+V+JMvjlee4jDR+GMnb0eq/Bn9J8P46WY5NRry3cdfVaP8UFFFFeIeyFGB RRQAx7eCXHmQo2Om5c0n2Kz/AOfSL/v2KkooAj+xWf8Az6Rf9+xQLO0ByLWP/vgVJRQAjKGBVhkH rUYsrMDAtIv+/YqWigBscEMWfKiVc9dq4p1FFABgUjIjja6gg9QRmlooAi+xWf8Az6Rf9+xR9is/ +fSL/v2KlooAakUcahI41UDoFGBTTZ2hOTax/wDfAqSigBiW1tG2+O3RT6qoFPoooAbJDFKMSxqw ByAwzTfsVn/z6Rf9+xUlFACKiIAqIAB0AFLRRQAYHpTHt7eQ5kgRv95QafRQBH9is/8An0i/79ih bS1RgyW0YI6EIOKkooAa8MUo2yxqwHZhkU37FZ/8+kX/AH7FSUUAIkcca7I0CgdABilwDzRRQA14 YpRtljVh6MM037FZ/wDPpF/37FSUUAR/YrP/AJ9Iv+/Yo+xWf/PpF/37FSUUAMjt4Im3RQopPUqo FPoooAKKKKACiiigAoorE+I3xE8FfCfwVqPxD+IfiK20rRtLtzNfX13IFSNR/Mk4AA5JIAyTVQhO pJRirt7Imcowi5Sdki34m8V+GfBmjS+IvF3iCy0uwgKia91C6SGFCzBV3O5AGSQBk8kivn7/AIKc fsZ2/wC2h+zlcaF4diiPivQXbUfC07EDfIFw9uW/uyKMegYIe1fl5/wUg/4KT+Nf21/GTeG/DM11 pHgDSrk/2RpG7a96wJAurjHVjn5UyQg9SST9B/8ABJ//AIKyy6C2nfsyftReIy1gWW38LeLL6Uf6 NwAlrcMf4OySE5BIU8YI/RocFcQZJgaWbUX++g+ZwW6X6vfmXbufAT4uyTOMbUyyqv3U1yqfRv8A TybPzg1jR9W8O6rc6Fr2mzWV7ZXDwXdpcxFJIZUJVkZTypBBBB6V2P7OH7QnxB/Zd+MOkfGb4bXo i1DSpsvBIT5V3AwxJBIO6spI9jgjBANfqR/wVZ/4JXWf7RFjc/tF/s+6XDF41gt9+r6RBwmuxqPv r2FwB0P8YAB5wT+Qeo2F/pN/NpWq2UtvcW8jRT286FHidTgqynkEEEEGv1fI87y7ivLHZK7VpwfS +69H0f6n5nnGT4/hrMFd6J3hNdbbPya6r9D+hn9j39sH4Vftk/CuD4k/DrUFjuECx61os0gNxp1x gExuO6nna+MMB6ggeshga/nO/ZY/am+Kv7IXxTtPij8K9YKSREJqOmzMTb6hbk/NDKvcdweqnBGC K/db9jv9sT4V/tm/Cu3+I3w4vlhuYgsWuaHNKDcabcYyUcDqp52v0YD1BA/F+MOD6/D9d1qN5UJP R9Y+T/R9T9a4V4ro55R9jV92tHdd/Nfquh65RRketFfEH2YUUUUAFFFFABRRTWbnAoA+QP8AguL8 QrHwd+wfq3huadVufE+tWNhapnk7ZhcOfpthI/4EK/Ece1feH/BeH9p62+Knx+0z4C+GtRWbTPAc LnUWicFX1GYKXU46mNFVfZmcV8Hjk5r+jvD7LqmX8Nwc1aVRufydkvvST+Z+A8cY+OP4gmobQSj6 21f4toWiiivtj5E/Rf8A4N1rmdPi98SLJWPlP4cs3cerLcOB+jN+dfrDX5if8G6XgudI/ih8Q5os Ru2madbPjqQJ5ZB+sX51+ndfzbx/UhU4rr8vTlXz5Ufv/A0JQ4ao83Xmf3yYUUUV8afWnCftL/Hn w9+zF8DvEHx28WaRd32neHbVZ7q0sNvnSK0ix4XcQM5cHk9q+KP+Ijv9l7/oivjf8rX/AOO19Bf8 FdOP+Cc/xRP/AFBYf/SqGv5661pwUlqB+yf/ABEd/svf9EV8b/la/wDx2j/iI7/Ze/6Ir43/ACtf /jtfjZRWns4gfsn/AMRHf7L3/RFfG/5Wv/x2ut+Hn/BwJ+wr4xv4tN8TweLvDDSEA3Oq6KksCn3a 3kkYfUqBX4f0EGl7KIH9P3wo+M/wo+OfhSLxv8H/AIhaT4j0qXgXmk3qzKjf3XAOUYd1YAjuK6av 5pf2Wv2s/jV+x/8AEy1+Jnwc8VTWkscijUNMlctaajCCC0M0fRlI43feXOVINf0E/seftVeA/wBs j4EaP8bvAZ8lL1DFqemvIGk0+8TiWB8eh5B43Kyt3rKUHED026u7Wxt3vL25jhiiUtJLK4VUUdSS eAPesf8A4Wd8Nv8AooWh/wDg2h/+Krh/24yV/Y1+KbqSCPAGrYIP/TrJX82gurjHNxL/AN/D/jTh DnQH9SOjeJvDfiJZG8P+ILK/ERAlNndJLsJ6Z2k4zg1er8wv+DamWSXwd8XDJKzY1PRsbmJx+7vK /T2okrOwBRRRSAKKKKACgnHWiigDFl+JPw7glaCfx7oqOjFXR9UhBUjgggtwan0rxp4O126+w6H4 s0y8m2lvJtL+ORsDqcKScV/NF+0Nc3I+P3jkC5k48Yan0c/8/UlfWf8Awb73FxJ+3fKkk7sP+ELv zhmJ/jhrR0/dvcdj9va+d/28/wDgo58L/wBgJfDbfEfwVrer/wDCSm5Fp/Y/lfu/J8vdu8xl6+YM Y9DX0RX5X/8AByv/AKr4Tf72rf8AttUxSk7CO+P/AAcefsvZx/wpXxv+Vr/8dr76+HvjGx+IngLR fH2mW0sNtrelW9/bwzY3ok0ayKrY4yAwziv5cj94V/TX+y9/ybX8P/8AsStL/wDSWOqqRUdgO6oo orMAooooAKKKKACvLf2xP2qvB/7GXwQvfjr468P6hqen2V7b20lppmzzWaaQIpG8gYBPPNepV8a/ 8F5P+Udmv/8AYf0v/wBKVpxV2gW55x/xEd/svf8ARFfG/wCVr/8AHa+wv2P/ANqXwj+2R8DdP+PP gfQNQ03TdRurmCG01PZ5ymGVo2J2EjkqSOelfzVV+8P/AAQk/wCUcPhb/sNat/6WyVpOEYrQD7Do oorIAooooAKKKKAMX4h/EDwh8K/BepfEPx9rkOm6NpNq1xqF9cNhIox39ySQABySQBya/EH/AIKQ /wDBSTxr+2z43bw54clutK+H+k3JbSNHYhXvHGQLm4x1cg/KmSEHuST+5XiPw9ovivQ7rw14j0m3 vtPvoGgvLO7iDxzRsMMrKeCCO1fjJ/wVF/4Jca1+ylrc/wAYfg5p8998PL2bMsSlpJdCkYn93IeS YScBZCeCdrc4Lfo3hxVyOnmrWL/jP+G38Pmv8Xb8NT8/4/pZxUy5fVv4S+NLfy/7d7/jofF4GBya UOytlcj6UnC/K2cj1pelfv8A0PxJNvY/Sb/gk7/wVlPhttP/AGYv2n/En/EvysHhbxVeyf8AHoMA La3DH/ln2SQ5K5CnjBHrf/BVP/glXp37QmnXf7Qn7PGkQW/jaCHzdW0m3GE12Mc71xwLgDof4wAD zg1+PrHBBA/Gv0j/AOCTn/BWT/hE3039mH9pzxITpjstv4V8UX0g/wBD4wlrcOf+WfZZDypOD8uC v5hxFw5jcnxrzrJdJLWcFs11aXZ9V81qfoeQ59hM1wv9kZu7xekJvRrsm+/Z/J6H5xahYX2kX82l anYzW1xbStFPBPGUeJ1OCrKeQQeCDXoH7Ln7UfxW/ZG+Ktp8VPhZrBjliYLf2EpzBfwE/NDKvcHs eqnBBBFfp/8A8FUf+CVml/tD6XeftBfs+6RBb+N4IfN1TSrf5Y9djHO5ccC4A6Ho44PODX5JeHvh 3458V+Orb4aaB4UvrnxBc3v2OHR47ZvPM+4qYymMggg5B6YOelfTZRnmU8VZTKU0rWtUhLp3+XZ/ qfO5rk2acN5nFQbve8JR6+Xr5fof0B/sc/tjfCn9s34VQfEX4c3wiuowseuaHPKpuNNuMco4HVTz tfow9CCB69XyX/wS9/4Jw6f+xT4Ll8YeM7wXvjzX7RU1Z4Jz5FjFkMLaMcByCAWcjkjjA6/Wlfzt nFLLqOZ1YYCblST91v8ArVdn1P3nJ6mPq5dTnjYqNRrVL+tH3XQKKKK8w9MKKKKACvA/+CiX7Z3h z9jD4B33i97qGTxLqsb2fhTTXcbprkjmUr3jiBDt/wABXqwr0X9oT9oD4a/sz/C3Uvi58U9cWz0z ToiVRWHm3Up+5DEpI3ux4A/E4AJr8Ff2zP2uPiH+2Z8aLz4qeN5WhtkZodB0hHzHp1oGJWNfVj1Z +rMc9MAfbcFcL1M+xyrVY/uIP3n/ADP+Vfr2Xqj43i/iWlkmDdKm71prRdl/M/07s8z8Qa/rPivX r3xR4j1GW71DUbuS5vruZsvNM7Fndj3JYkn61Uoor+jYxUYqK2R+DNuTu3dsKQnPAx+dKcY5r079 jT9nTWf2qP2j/DHwa0qFzb39+surzopP2ewjIeeQ46fICBnqzKO9Y4nE0sHhp16jtGKbfolcuhRq 4mvGjTV5SaS+bsfr5/wRm+CM/wAHP2HtB1DVLMxah4tuJdbuQwwfLlwsH4eSiN/wM19XVT0DQtK8 M6HZeHNDs0t7OwtI7a0gjGFjiRQqqPYAAVcr+T8yxs8xzCrip7zk3972+SP6by7Bwy/A08NHaEUv u/zCiiiuI7T5v/4K6/8AKOb4o/8AYFi/9Koa/nrr+hT/AIK6/wDKOb4o/wDYFi/9Koa/nrrelsPo fUH/AASf/Yz+GH7cP7Qur/Cr4r6pq1pp9j4Um1KGTR50jkMqXEEYBLqw24kbt1xX6Gf8Q7v7F3/Q 7eOf/BnB/wDGa+T/APg3T/5PS8R/9k8uv/Sy0r9qKmpKSloI/PPxZ/wbmfsqalpMsPhL4t+NNLvS h8m5nkt7mMN23J5alh7Bl+tfm1+3X+wL8ZP2DviHB4U+IRh1LR9TDPoHiSxjYW98q43KQ3+rlXI3 Ic9QQSDmv6Ma+Z/+CuP7PmlftBfsMeM7ObT0l1Pwxp76/ospX545rVGd1U/7cXmpjvuHpSjUknqB /PnX6Df8G9v7St/4A/aU1X9nbWNQYaP430x57GF2+VNRthuUgHpuh80HHUon4fnzXqP7Efj+4+Fv 7X/w18eW8rILDxpp5nKHBaF51jlX/gUbuv41tNXjYa1P6M/ir8PNF+Lvw1174WeJJ54tP8RaPcad eyWrhZFimjMbFSQQGwxwSK+J/wDiHe/Yuxj/AITbxz/4M4P/AIzX1V+2jqWo6N+yH8TdX0e/mtbu 28C6pLbXVtKUkidbWQqysuCpB5BHSv53/wDhpb9o3/ov/jb/AMKq8/8AjlYwjJ7MR+/H7Ef/AAT8 +Dn7BmneIdL+EWs63eR+JZ7aW+OtXMchQwLIE2bEXH+tbOc9q92r82f+DdX4jfEL4h+EvirN4/8A Hes649rqOkC1fWNUmujCGju9wQyMducDOOuB6V+kGpalp+j6fPqurX0Nra20TS3FxcSBEiRRlmZj wAACST0qZJqWoE1JmvyZ/by/4L7eMp/El98Nv2KFt7HTrSVopfHF9ZpNNdsMgtbQyAokeejurFuu 1e/wn4w/ba/a/wDHuoPqfir9pnxxcSucts8SXEKf98Ruqj8BVKnJgf0p0V/Mj/w0t+0b/wBF/wDG 3/hVXn/xyj/hpb9o3/ov/jb/AMKq8/8AjlP2T7gf03UhbI6V/Ml/w0t+0b/0X/xt/wCFVef/AByv 6Pf2eLu71H4AeBr/AFC6knnn8H6ZJPNM5Z5Ha1jLMxPJJJJJPXNRODigPknxh/wQF/Y88b+LtV8a ar4y8apdavqU97crDqUARZJZGkYKDDwMscV6F+yD/wAEl/2dP2K/iyfjD8LvEnia61N9MlsTFq17 FJF5chUscLGpz8o71+MXx8/aL/aDsPjr41sbH47eMoYIfFupRwwxeJ7tUjQXUgCqBJgADAAFfU3/ AAQe+MXxc8d/tvS6J43+KfiPWbIeDr6QWmq65cXEW8PDhtsjkZGTzjvVuM+W9xn7NggnANflh/wc sHEPwm/3tW/9tq1v+Dib4mfEb4eTfC8eAPH+t6H9qXUzc/2Pqs1t5202+N3lsN2MnGemTX5YeMPi X8RviF5H/Cf+P9b1z7Lu+zf2xqs1z5W7GdvmMducDOOuBThB7iMM4yDX9NX7L3/Jtfw//wCxL0v/ ANJY6/mVIz3rsrH9oj9oDTLKHTdN+OnjG3t7eNY4IIPE92iRoowFVRJgADgAVc48wH9OZOBmivx0 /wCCBPxf+LPjz9sXWNI8c/FDxFrVongm6kS11bW57mNXE8ADBZHIBwTz15r6Z/4OCfHfjfwB+yh4 X1XwJ4x1XRLqXx1FFLc6TqEttI6fZLk7S0bAkZAOOnArDlfNygfeVFfzIj9pb9o3H/Jf/G3/AIVV 5/8AHKP+Glv2jf8Aov8A42/8Kq8/+OVfsn3A/puo71/Mkn7TP7SEbiSP9oLxurA5DDxXeAj/AMiV 7T+zT/wV+/ba/Z08Q2s1x8Vb3xfoSSL9s0DxVMbpZk7hZnzLE3oVbGcZDdKPZMD+gSvjX/gvJ/yj s1//ALD+l/8ApSte9fsgftYfDX9sz4I6d8avhpM6Q3JMOpabOwM2nXageZBJjuMgg/xKVbvXgv8A wXk/5R2a/wD9h/S//SlaiKamhrc/CWv3h/4ISf8AKOLwt/2GtW/9LZa/B6v3h/4ISf8AKOLwt/2G tW/9LZa2q/CI+w6KKK5wCiiigAooooAMc5qj4h8O6H4q0S68OeI9JgvrC+gaG8s7qIPHNGwwysp4 IINXqDntQm07rcUopppo/Fr/AIKjf8Etda/ZV1m4+Mvwa06e++Hd7NmeAbpJdCkY8JIeSYSSArk5 BO1ucFvisE5xke1f02a/4f0bxTo914e8RaXBe2F7A0N3Z3MYeOaNhhlZTwQRX40f8FSf+CWus/ss azc/Gb4L6bPffD28m3XMC7pJdCkZv9W/cwkkBZCcgna3Yt+48EcbrHKOX5hL95tGT+15P+9+frv+ N8YcHvBSljsFH3N5R7ea8vLp6HxX25HWkdVOCR0OQfSgcYUZo65BFfqmqPzbRqzP0h/4JQ/8FZX8 ISab+zN+054iZ9JcrbeF/FF4+TZHGFtrhj1i7K5yVyAflwV/RXQP2X/gDoXxtvv2k9C+HenR+LtW slgudZiTl15y6rnarsCAzgbmAAJNfzkj5en86/RH/glz/wAFff8AhVlvY/s9ftS61PN4djKweH/F MuXfTFxhYbg9WhGMB+SmcHK/d/JOMuC68faY/KrpyX7yEdLp7tJb+ceu6P07hPi2k3DBZnZ2fuSe tn2bf4PofrOFAOfelqpomu6N4k0m217w/qkF7ZXkKy2l3ayiSOZGGQyspIYEdxVvNfirTi7M/X01 JXQUUUhZRxmgYprgv2iv2kfhT+y58Nrz4ofF7xFHY2FspWCFcGe8mx8sMKZy7n06DkkgAkeP/tu/ 8FTf2ff2PtPuvDkWpR+J/GgQrb+G9LnVvIk7G6kBxCvty5/u9x+N37UP7WXxp/a7+IUvxB+MHiRr l1LLpumQZS00+InPlwx9h0yxyzY5Jr7rhfgfHZ5NVq6dOh36y8o/57drnxXEnGODyeLo0Gp1uy2j 6+flv6HU/t1/t4/E79t/4ltrviOaTT/DmnSOvh3w9FJmK0jJ++/9+VgBub2wMCvDB0pMelLjHAr+ gcHgsLl+Fjh8PHlhFWSX9avu+p+IYrF4nHYiVevLmlLd/p6IKCcDNFBz2rpOZsQHJGRkHtX7Nf8A BFX9iKb9n34NS/HP4g6T5XivxtbxvbwzJiSw0370aYP3WkyJG9gg7Gvj/wD4I/8A/BOy4/aT+IUX x2+KWjEeBvDd6r2sFwpA1i9Q7hGo/iiQgF/U4XnLY/ZyGFIYxHGoVVUBVUYAHtX434j8Txmv7Kwz 86jX3qP6v7u5+rcAcOzi/wC08Qv8C/OX+X3jx060UdKK/Hz9XCiiigD5v/4K6/8AKOb4o/8AYFi/ 9Koa/nrr+hT/AIK6/wDKOb4o/wDYFi/9Koa/nrrelsPoffv/AAbp/wDJ6XiP/snd1/6WWdftPX4s f8G6f/J6XiP/ALJ3df8ApZZ1+09RU+MQVg/FPTIta+GPiPR50DJdaFdwurDghoXU/wA63q5b44+I rPwl8F/FvijUJxHDp3hm+uZZGPCqlu7E/pULcD+Ye6i8m7lhHRJGUfgcVo+Br6XTPG2j6lC2Ht9V t5EI7FZVIP6VmzSGaZ5j1dy2M+prY+G2lya38RdA0aEZe71q1hXju0yr/Wutgf0X/tpStP8AsRfE yd+r/DnU2P1Nm9fzbV/SX+2vB9l/Yn+J1t/zz+HeqL+VnIK/m0rKlsB+sv8AwbS/8ib8Xf8AsJ6N /wCi7yu7/wCDgX9qrV/hL+z5o/wA8Iam9tqPj+6l/taWJsN/ZcAHmR8dPMkeJSe6q471wn/BtL/y Jvxd/wCwno3/AKLvK8J/4OF/F13rn7cGneGpZP3OieCbOKJB0BklmlJ+p3D8hU2vVGfCBOBnFfSn 7D3/AAS0/aQ/botJ/FXghdP0HwtbXBgl8Sa6ZBFNIMbkgRFLTMM8/dUdC2eK+bYYJbqZLWBCzyOF RR3JOAK/pu/Z1+EHh74BfAzwr8HfC1tHHZ+H9FgtVMS4EkgUGST6u5Zye5Y1U5cq0B3PzEX/AINr PiZgbv2pNCzjn/inZv8A45XzD/wUS/4Ju+I/+CfF14YtfEHxQsfEh8TJctEbPTng8jySgOdzNnO/ 9K/oNr8pf+Dlb/kK/Cn/AK99U/8AQoKmE5OQj8ta/pv/AGbP+TdfAP8A2Jel/wDpJFX8yFf03/s2 f8m6+Af+xL0v/wBJIqdbZD6H84H7Q/8AyX/xz/2OOp/+lclfWv8Awb6f8n4S/wDYl3//AKHDXyV+ 0P8A8l/8c/8AY46n/wClclfWv/Bvp/yfhL/2Jd//AOhw1cv4YH6Sf8FD/wDgmt4W/wCCg7+GG8Sf FC/8Of8ACMi58n7DYJP5/neXndvYYx5Y6etflh/wVI/4Jq+Fv+CfEfg5/DXxR1DxIfE5vBML7T0g 8jyfKxt2sc58w/lX71V+V/8Awcr/AOq+E3+9q3/ttWVOUr2EflUSQcCv1S+FH/BvD8NPiP8AC/w5 8Qbj9pLXbWTXNDtL+S2TQ4WWJpoVkKAl+QN2M+1flafvCv6a/wBl7/k2v4f/APYlaX/6Sx1pUbWw Hzr+wR/wSH8GfsH/ABhvPi94d+MuqeIJrvRZdOayvdLjhVVd433hlYnI8vGPevTf+CgP7DHh/wDb 5+FOl/CvxH4+vPD0Oma6mpLd2VmkzOyxSR7CGIAGJCc+1e71y3xk+NHwy+AHw81D4qfFzxZbaNoe mRhrm9uW6knCoqjl3Y4AUAkk1jeTd+oH56/8Q1vwtHA/ag1//wAEEH/xyj/iGu+F3/R0Gv8A/ggg /wDjlRfFL/g5I+H2l65LZ/Bz9nPVNYsY3Kpfa9q6WTTAfxCONJSoPbJz0yB0rlf+IlnxX/0aRp// AIWEn/yNV/vQIvjp/wAG4+teGPAF/wCI/gV8e5dd1qyt2mh0PWtIW3W82jJRJkdtrkD5Qy4JwCQD kfmNeWd5p13Lp+oWzwTwSNHNDIuGR1JBUjsQQRX6en/g5Z8VkY/4ZI0//wALB/8A5Gr84Pi/48h+ KfxY8T/E230GPSo/EXiC81NNMhl8xLQTzPKIQ2BuC7tucDOM4FXDn+0B93f8G6vxq1rwz+0j4m+B k167aX4n8OtfR27N8qXdqy4dR2JjkcHHUKM/dFfZX/BeT/lHZr//AGH9L/8ASla/Ob/ghS7p/wAF G/Cyo2A2j6qG9x9jkP8ASv0Z/wCC8n/KOzX/APsP6X/6UrUS0qoD8Ja/eH/ghJ/yji8Lf9hrVv8A 0tlr8Hq/eH/ghJ/yji8Lf9hrVv8A0tlq6vwgfYdFFFc4BRRRQAUUUUAFFFFAAelUtd0LSPEuj3Ph /XdLgvLK9haG8tLmIPHNGwwysp4II4wau0UJtO63E0pKzPxe/wCCpf8AwS01f9lrV7n41fBbTZ7z 4fXk+66tUy8mhys3COepgJICuTkE7W7FvifJxljX9Nut6Ho/iTSbrQtf02G8sb2Bobu0uYw8c0bA hlZTwQQcYr8bP+Cpf/BLHVf2XdUufjb8EdNnvPh9eTbryzBLyaFIzcK3cwEkBXOSPut2J/b+COOF jVHL8wl+82jJ/a8n/e8+vrv+N8YcHvBuWOwMfc3lFfZ815eXT0PibrxSEelAJJ5HHY0tfq2x+b6N HuH7Kv8AwUP/AGn/ANkGdLH4Z+Nzc6H5m+bw3rCG4s3J6lVyGjJ7lGXPfNfb3w6/4OJvCEtjHH8W f2d9SguQoEk3h7VI5UY+oSbYR9Nxr8saK+azPhHh/N6jqV6C5n1jeLfrbf5n0GXcT55lcOSjWfL2 dmvx/Q/Vzxn/AMHEvwptrF/+Fe/s8+Iby5Kny/7Z1GC3QH38vzCa+T/2kf8Agsd+2P8AtB2lx4f0 3xHbeC9FuAVksfC6tHNIno9wxMh99pQH07V8p0Vjl/BXDeXVFUp0FKS6ybl+en4GmO4t4gzCHJUr NLtFJflr+I6ee4up2ubiZpJHYtJJIxLMTySSfem0UV9VsrHzgUE460Uh+XLdfagTdlcOD368V9If 8E6P+Ce/jX9t34jq91Hcaf4I0i4RvEWthcFu/wBmgJGGlYd+iA5PYGx/wT0/4JufEr9trxbHrGox z6L4F0+4A1jX2TBnxyYLbIw8h6E9EByecKf26+EHwg+H3wJ+H2m/C/4X+HYdL0bSoBFbW0I6nu7n q7seWY8kkmvzjjTjWllNOWDwUr13o30h/wDbdl069j73hLhCpmlRYvFxtRWye8vl27lz4d/Dzwd8 KvBOl/DzwFoMGm6Ro9mltYWVuuFjjUYHuSepJ5JJJ5NbdFFfgcpSnJyk7t7n7dCEacVGKskFFFFI oKKKKAPm/wD4K6/8o5vij/2BYv8A0qhr+euv6FP+Cuv/ACjm+KP/AGBYv/SqGv5663pbD6H37/wb p/8AJ6XiP/snl1/6WWdftPX8437CX7bPjD9g/wCLN/8AFvwV4M03XLq/0KTTHtdUlkSNEeWKQuDG Qc5iA/E19a/8RJH7QX/RvHg7/wADbr/4qpnFuWgWZ+wlfF//AAXE/ar0X4D/ALH2p/C7T9VQeJPi HG2lWdmjjzFsj/x9TEdQmz91nuZR7kfG/ir/AIONv2qdU0mWy8K/B3wTpVzIhVb2Rbq4aP8A2lUy quf94Ee1fEXxv+PPxa/aP+IN18UPjT40utc1q7AVrm4ICxxj7scaKAsaDsqgD8STRGm76hY5Cvav +CcvwxuPi9+3H8MvBcdt5sR8WWt5eLjj7PbN9okz6ZSMj6mvFa/UD/g3Z/ZU1C68UeIv2vfE+nMt na2r6J4YaReJZnKtczL/ALqqsef+mjjtWs3aIj9EP25M/wDDGfxUz/0IGrf+kklfzX1/Sh+3L/yZ n8VP+xA1b/0lkr+a+opbAfrL/wAG0v8AyJvxd/7Cejf+i7yvnj/g4D0i6sP2+31GaMiO+8HadJCS PvBTKhP5qR+FfQ//AAbS/wDIm/F3/sJ6N/6LvKp/8HIHwD1G7sfAn7S+l2TSQWfmeH9YlQE+WHLT 2xPoN3njPqwHcUk7VR9T8rdMv20rU7bU0QM1vOkoU9yrA4/Sv6ivBfiHSPFvhDSvFOgXYnsdS06C 6s5gfvxSRqyn8QRX8t2Mjmv0p/4Ji/8ABbPwj8Bvhbp/7PX7U2m6nNpeiR+T4e8TaZbid4LfOVgn jyGKrkhXTJ24UrxmnUi2tAaZ+vdflL/wcrf8hb4U/wDXvqn84K+oB/wXI/4JzEf8lc1Ef9y3d/8A xFfAv/BbH9t79nX9sm98A3HwD8XXGqroUV8upefps1v5ZkMWzHmKN2drdPSogmpCPg+v6b/2bP8A k3XwD/2Jel/+kkVfzIV/Tf8As2f8m6+Af+xL0v8A9JIqqtsh9D+cD9of/kv/AI5/7HHU/wD0rkr6 1/4N9P8Ak/CX/sS7/wD9Dhr5K/aH/wCS/wDjn/scdT/9K5K+tf8Ag30/5Pwl/wCxLv8A/wBDhq5f wwP2/r8r/wDg5X/1Xwm/3tW/9tq/VCvy1/4OWbKcaT8JdS2nyzc6tFn/AGttqcflWNP4hH5SHrk1 /TX+y9j/AIZr+H+D/wAyXpf/AKSx1/Mrj3r9tP8Agnz/AMFfv2P9U/Zs8J+AfjJ8U7Xwj4n8OaJb 6ZqNtrUUiRXBgjWMTRSqpQqwUHaSGBJGCBk6VU2gPvCvxh/4ODf2ldf8c/tKaf8As46dqLroXg3T Ibm7tkf5ZtRuFLl2A67YTGoz0LP61+qPwe/bM/ZZ/aB8Ty+DPgr8cdA8SarDaNcy2Ol3e+RYVIBc jHQFgPxr8S/+CzmkalpH/BRz4hHUY2UXctlcW4bvG1nCAR7cGopr3tQPmLTtO1DV9Qg0nSbGa6ur qZYra2gjLySyMcKqqOWJJAAHJNfQuj/8Elf+Ci+u6bFqtj+yxrqxToGjW6u7SCTB9UlmV1PsQDXn /wCxt8WPCnwK/an8B/F/xzZyz6P4f8SW93qMcMe9xErYZgvcrndj2r919I/4Kp/8E9NX0+LU4P2r PC8STKGWO7nkhkUejI6BlPsRWkpSi9EB+OJ/4I//APBSIf8ANreq/wDg3sP/AJIr5+8aeDvEvw88 Yar4B8Z6S9hrGiajNYarYyOrNb3ELmOSMlSQSrKRkEjjgmv6GP8Ah6D/AME+j0/az8Hf+DE//E1+ Df7Ynirw945/a1+J/jXwjq8OoaVq/wAQdYvdNv7Zsx3NvLeyvHIp7qysCD6GiEpSeoHvP/BCv/lI 54U/7BGq/wDpHJX6Nf8ABeT/AJR2a/8A9h/S/wD0pWvzl/4IV/8AKRzwp/2CNV/9I5K/Rr/gvJ/y js1//sP6X/6UrUT/AIqA/CWv3h/4ISf8o4vC3/Ya1b/0tlr8Hq/eH/ghJ/yji8Lf9hrVv/S2Wrq/ CB9h0UUVzgFFFFABRRRQAUUUUAFFFFABgHqKp65ouleItKudB13TYLyyvYGhu7W4jDxzRsCGVlPB BHGKuUYGc0Xad0JpSVmfjz/wU0/4JE+JPgRe6h8cf2cNHuNT8EuWn1LRIQZLjRMnJKjrJbjseWQd cgbq+DASecZ5/Kv6d3jSRDHIu5SMEHuK+Fv25v8Agij8KvjzdXfxH/Z6u7bwd4onLST6cY8aZfyE 5JKqCYHJ/iQFT3XvX6/wr4iqnCOEzV7aKpv/AOBf/Jff3PyriXgOU5vE5at9XD/5Hp8vuPxyor0j 9oP9kX9on9l7XH0b4z/DLUdKj8wrBqXlebZ3HoY5kyjZ9MgjuAa83OfT8a/X8PicPi6Sq0ZqUXs0 7r8D8ur0K+GqOnWi4yXRqzCijI6ZpMmtrGLdhaKVI5ZWCRLkngADJJ9hX0X+zF/wSx/a+/aent9R 0b4fy+HdBmILeIPEyNbQlD3jQjzJeOm1cepFceNzDA5bRdXFVFCPm/6udWEwWMx9X2eHpub8l/Vv mfOaRyzSrAkZZnbEaqOWPpivvr/gnr/wRe8b/GC5sfix+1LY3WgeFzsmsvDxzFfamvUeYOsER46/ OQeNvDV9p/sXf8Elv2cv2TJbbxdqVofF/i+EK667rEKmO1kA628PKx+zHc/ow6V9VBFHQd6/IeJf EmpXjLD5VeKejm93/hXT1evZI/UeHfD+NFqvmT5mtoLb/t59fTbvcy/BXgrwp8O/C1l4K8EeH7XS 9J023WCxsLOIJHDGowFAH+TWrRRX5NKUpycpO7Z+oRjGEVGKskFFFFIoKKKKACiiigD5v/4K6kf8 O5/iiM/8wWL/ANKoa/ns3MOM1/UN8S/hn4E+MXgfUPht8TPDcGr6HqsQj1DTrnOydAwYA7SD1UHr 2rxT/h05/wAE7v8Ao1nw9/31P/8AHK0hNRQ7n88m5vWjcf8AIr+hv/h05/wTu/6NZ8Pf99T/APxy j/h05/wTu/6NZ8Pf99T/APxyr9sgufzx5J4oGT0HWv6HB/wSd/4J3Kc/8Ms+Hj9WnP8A7Urr/h7+ wj+xt8Kb6PVfAH7NHg3TruE5jvE0SJ5lPqHcFs/jR7VCPxi/YE/4JM/H79snxHYeJPE2h3vhX4fi VZL3xHfwGOS7izylojjMjEdHI2DqSeh/dT4TfCrwN8Efhxo/wo+G2hx6domh2S22n2kfOxRkkk92 ZiWZjyWYnvXQqqooVRgDoBS1lKbkwPK/25P+TNPimP8AqQNW/wDSWSv5r6/qT8X+EvDvj3wrqPgn xfpcd9pWrWUlpqNlLnZPBIpV0OOcFSR+NeEf8Onf+Cd//RrPh7/vqf8A+OVUJqKGfJH/AAbS/wDI m/F3/sJ6N/6LvK/RL46fBXwF+0T8J9b+DXxM0v7Xo2u2Zt7pFOHjPVZEP8LowDKexArL+A37K/7P 37MNtqdn8Bvhhp/hqLWJIn1NLAvi4aMMELbmPQO3T1r0Gpk7yuI/nk/bn/4Jq/tA/sR+Lbo+IdAu NZ8HvOf7K8YafblreSMn5VmxnyJR0KtgE/dJFfOzKuelf1P3dnZ6hbSWd9axzwyoUlilQMrqRggg 8EEdq8c8a/8ABOr9hn4g3r6l4p/Za8GzXMrFpLiDR0t3Y+5i2k1oqtlqgP5w6K/oc/4dOf8ABO7/ AKNZ8Pf99T//AByvze/4Ltfs4/s0fszeMfh94S+Afw20zw5c6jpt7d6tDp7OWlQSRpEzbmPGRIB9 Gqo1IydhnwJX9N/7Nn/JuvgH/sS9L/8ASSKv5kO+K/p5+BOkXfh/4I+DtBv4yk9j4V0+3nRhgq6W 0asPzBqa2yDofzb/ALQzEfH7xyAf+Zx1P/0rkr60/wCDfUk/t4Sk/wDQl3//AKHDX6ga3/wS1/YC 8R6zd+Idb/Zm0G5vb+6kuLy4kabdLK7FnY4k6liT+NdL8Fv2FP2Sv2dvGJ8f/Bb4JaV4f1g2r2xv 7Jpd/lOQWT5nIwdo/Kk6icbBc9ar5K/4LK/sgeJf2tf2TJYvh7pjXnifwjqC6vpFlGPnvECMk8C+ rGNiwHdo1HevrWggHqKzTs7iP5X7u0vNPu5bDULSSCeCQpNDMhV42BwVYHkEEYwajwD1Ff0qfFX9 ir9kv436xL4i+K/7PPhTW9Sm/wBdqV3pEf2h/rKoDn864c/8Enf+Cd5OT+yz4e59GnH/ALUrb2qA /Nn/AIN3f+T1taH/AFIl1/6UW9fRX/Bd/wD4J8eNfjLZ6f8AtX/Bnw5Nqmq6HposfFOlWUe6eezV 2aO4jQcu0ZdgwGTsIPRK+zfgj+w7+yj+zh4rl8cfBH4LaV4e1aeza1lvbJpN7QsysU+ZiMEqp/Cv V6zc/f5kB/K4VeNikikMOoI6UBj2Ir+kr4ofsI/sc/GfV5fEPxM/Zw8KapqNw26fUH0pI55Gzklp I9rMfqa5D/h05/wTuxj/AIZZ8Pf99T//ABytPbAfzxnnrShiOBX9Df8Aw6c/4J3f9Gs+Hv8Avqf/ AOOUf8OnP+Cd3/RrPh7/AL6n/wDjlHtUB+Uf/BCwk/8ABRzwqT/0CNV/9I5K/Rr/AILxn/jXZr5H /Qf0v/0pWvaPhD+wB+x38BfHNt8SvhD8CNI0LXbSOSO21K0aXzI1kUo4G5yOVJHSu5+MXwU+Fvx/ 8ETfDf4w+DrXXdDuJo5ptOvC2x3jbcjHaQeCM9azlK81ID+YXcx71+8H/BCQj/h3F4W5/wCY1q3/ AKWy13f/AA6c/wCCd3/RrPh7/vqf/wCOV7D8H/gx8MPgF4Ft/hp8H/B9toWhWksklvptoW8uN5GL uRuJPLEnr3qpzUkB09FFFZAFFFFABRRRQAUUUUAFFFFABRRRQAUmDnmlooAqazoejeI9Nm0fxBpd vfWlwmye1u4VkjkX0ZWBBH1r56+Kf/BJf9g/4r3Et9qXwRtdIupiS9z4cuJLLJPfZGfLz77a+kKK 68Jj8dgJ82Gqyg/7ra/I5MTgcFjI2r04y9UmfC+o/wDBvz+xfe3BmtPHfxEs0Jz5MGs2bKP++7Rj +ta/hT/gg7+wx4duEn1VvGOubCD5eqa8iqcevkRR19o0V60uLOJJx5Xip29TzY8McPxlzLDR+48p +D/7D37JnwGlivPhZ8B/D+nXcONmoPZ+fcg+vnS7nH4GvVQoAxilorxK+IxGKnz1puT7ttv8T16O HoYeHLSgorskl+QgBB7YpaKKxtY2CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA Cub+MfiPVfB3wj8U+LtDlVL3SvDt7d2bugZVljgd1JB4Iyo4rpK5z4v+GdU8a/CfxP4O0QRm81bw 9e2doJX2p5ssDouT2GWGTQB+Iw/4Lzf8FFMf8j14f/8ACXt/8KX/AIfzf8FFP+h68P8A/hL2/wDh Wl/xD/8A/BQD/nx8Hf8AhSf/AGul/wCIf/8A4KAf8+Xg7/wpP/tddH7odjLb/gvH/wAFFXUqPHug L7/8Itb/AOFfNPx4/aB+Lv7S/wAQ7j4p/GzxnPres3EaxG4lRUWKJc7Y0RQFRBk8ADkk9STX1V/x D/8A/BQE/wDLn4OH/cyf/a66r4Yf8G637V/iHWI0+KXxH8JeHNODjz5LO4lvpyv+wgRVJ+rj8aE6 a2A+af8AgnZ+yzrP7Xf7V/hf4ZW2mvNpFvepqHiefblINPhZWk3H/b+WMerSD3r+jNVCjA6V41+x d+wr8Df2Gvh6/gv4S6ZLNeXpV9a8Qajta81GQDjeygBUGTtRQFXJ6kkn2aspy5mIKKKKgAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image012.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEA3ADcAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYF BgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoK CgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCAGhAh0DASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9/KKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAoorx7xl/wUN/YD+HPiu/8CfEP9uH4QaBrmlXLW2q aNrfxK0q0u7OZfvRywyzq8bjurAEUAew0V4Uf+Cof/BNAf8AOQ/4Gf8Ah2tG/wDkmt/4aft3fsQf Gjxhb/D34Oftj/Cvxbr94rtaaF4Z+IWm395OEUsxSGCdnYBQScDgAk0AerUUAg9KKACiiigAoooo AKKKKACiiigAoopryIgJY4wMmgB1FRx3VtNzFOjDOMqwNPBB6Uk09g6i0UUUwCiiigAooooAKKKK ACiivIfHX/BQX9gr4X+Lr/wB8S/22/hF4d17S5vJ1PRNc+JGl2l3ZyYB2Swyzq8bYIOGAPIoA9eo rwv/AIeh/wDBM/8A6SIfAz/w7Wjf/JNbPw8/b7/YT+LvjKx+HXwn/bT+E3ijxDqbsmm6F4d+I2mX t5dsqM7COGGdnchFZjtBwFJ6CgD1uikVgwyKWgAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr4Z+O3/BuV/wSg/aS +MfiX48/F74EanqXibxbrE+p65fL4svohNcysWdgiyBVGTwAAAMV9zUUAfy4/wDB0l/wSs/Yx/4J oal8Hm/ZF8AX2gp4xi1k63Fd61PeLIbY2nlbfOYlMec+cdcj0ryL/g1gw3/Ban4Zgj/mG610/wCw dPX3R/wfFf8AH/8As6/9cfEv89Pr4X/4NXv+U1Xwy/7Butf+m6egD+upQAPxpaB0/GigAooooAKK KKACiiigAornfAfxe+FvxSvNa0/4b/ELR9dn8Oao+m6/DpWoRztp14n3reYISY5B3VsGuioAbIxR dwx171+ZX/BQj9vT4j+J/iDqXw4+HniKew0XTrmS1SPT5ijXbKQrSSMpyRuBwOmK/TO5QSQNG2cM CDivxW/am+Ffin4PftCa/Z+ILKR1g1CV03g4eNm3I4PcEEGvyrxVx2YYbLaFKjJxhOTUmtL2Xuxv 2er87H6x4TYHLsVmlerXipVIRTinra796ST6rReV2S/Bb9pz4/fCnxLFruneNtRglEgbynuGaKUd SroxIYH0xX6HfsKf8FLvhP8Atk+LPEnwVht30T4g+DIIbjXfDt0c/aLORU8u+tmH34WZgpH3kYhW 6qT+X+m+I/8AhLL0SR2xRI+CeleU/wDBLX4y6x43/wCDjjQpfhFetPp1v4c1DRNfmtiGjntIbOR5 t56bVnEeD/ejXFcPhLLHOhiPaXULqy6J+X6noeL8MBHEYf2SXPZ3el2vP06ep/RhRRRX7Gfi4UUU UAFFFFABRRRQAV8zftM/8Ecf+CZP7XV9rPiH46fsa+C9S17Xpmm1TxTZaWLLVp5iu3zWvLfZK7AY +8xHAyDivpmigD+NT/guv/wS+sP+CVX7ct38EfB+q3uoeDfEGjx6/wCC7rUWDTpZSSSRtBIygBni kidN2ASApI5rV/4Nr+f+C3PwGXpnWdVH/lFv6/QL/g+D8OWMXj79n3xikarcy6Rr9nK4Xl41lsnQ E56As/H+2a/Pz/g2t/5TefAX/sNar/6Zb+gD+xZBgEZ70tIvf60tABRRRQAUUUUAFFeZ/tj/ABWm +B37Lnj34sWt2YLjQvCl7c2kwbBWcREREe+8rj3xX5h/sW/8HD3jrwp9m8Dftk+G38QWW4IPGGjR JFeRDpma3UBJR6lNh9mNceIx+GwtWMKrtfr0+Z9dkXA/EHEuV1sdl1NTVJpON7Sel3yp6OytdXvq rJn7EUVwfwE/aU+B/wC0x4Nj8efA/wCJWm+IdNcDzHs5f3kDEA7JY2w8Tc/dYA13BuIcH94OldcZ RnHmi7o+Wr0K+FrSpVouM4uzTVmn2aeqJKK+MP24f+C1H7M37JYvPB3g28Tx34zhBT+xtIu8W1pJ j/l4uQGVcd0Tc3GDt614d/wSL/4KufG39rb9rzxP8Nv2gfEVsLfXtEN14R0qyt1it7GW3fLwJgbm LxOzFnZifJ9wBxSzHCRxEaKleT002Xqz6/D8AcUV8grZxKjyUaceb3tJSV1dxja9ktbuysnZs/UC iiiu4+LCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig D+fz/g+K/wCP/wDZ1/64+Jf56fXwv/wavf8AKar4Zf8AYN1r/wBN09fdH/B8V/x//s6/9cfEv89P r4X/AODV7/lNV8Mv+wbrX/punoA/rrHT8aKB0/GigAooyD3pCwHU0ALRSb19aXIxmgAryv8AbY/a o8FfsVfsreOv2oPiBPGuneDfD8995TyBTczhdsECk/xSStGg93r1GWaKKMyyyBVUZZmOAB65r+a3 /g6w/wCC0fhb9qLxhF/wT5/Zl8Yx6h4L8Kap9o8e63p8weDWNViJEdtG6EiSGA5JPIaXGP8AVgkA +xP+DNzx94o+K37N3x9+J/jXUPter+IvjM2papc9PMuJrKKSRsdssx47V+yNfil/wZIf8mV/GP8A 7KjB/wCm2Cv2toACAeory79pT9lP4a/tKeFrjSfEtilrqwtXj0vXYYszWjnoSMgSoDjKNwQTjBOa 9RJA60h2g8gflXNi8HhMfh3QxNNTg91JJp/JnThMZi8BiI18NUcJx2cW0180fhr+1B/wRQ/4LeeL NVu/h18K/il8Ih4WvZWi/t3Q7m5025kgbALTLKsrxHBOVhZuhwxr7G/4Ijf8ELPBX/BKzSdW+Jvj zxpa+L/ip4lsxZ6prdjAyWenWhZJGtLXf87BpFVnlYKX2J8q4wf0E+U8cUKVI+XH4UsHgsJl+HVD DQUILZIrG47GZjiHXxM3Ob3bFooorqOQKKMj1pNwPQ0ALRRRQAUUdKQyIOrUALRSb1PO6gMCcA0A fz+f8HxH/H9+zz/1x8Q/zsa/Oz/g2t/5TefAX/sNar/6Zb+v0T/4PiP+P79nn/rj4h/nY1+c3/Bt 5f2+m/8ABbP4C3NyxCnX9RiXAzlpNJvUUf8AfTCgD+xxe/1paRRgf40pIHJNABRSb19aN6+tAC0U Ag9DSPnacUAfEf8AwcAfE9PAn/BPvUvCUdwEn8X6/Y6cq7sFo0lF0+P+/Cg+xr8HMHoxz6n1r9l/ +C5fwm+PP7YfxU+Fv7LH7P3gq61e4tLe/wBZ1ycAraWQkMcFu88p+WPiO4wDy27gGof2Wv8Ag3N+ DPhPT7bxB+1L47v/ABRqgAaTRdCnNrp6HrtMhXzZfTIMY9q+WzHB4rH5g1TWkUld7dz+m/D7i3hn gbgWlLHVf3taU6nJFc07X5VddLqKacmlqfkt8IPjX8WPgJ4wh8e/B34gap4f1eD7l3pt0Yy4yDsc fdkUkDKsCD3Fe/ftE/8ABY79uH9pH4dW3wu8TeP7bRtPW18rVpPDNqbOXVefvTOrEgEcFI9iHJyu Div20+HH/BPX9iH4WWyW/g/9lPwNE0Ywl3e+HYLu4/7/AE6u/wD49XX6p+zP+zjrNkLDVv2fvBF3 AkZRILnwpZyIF9ArR4x7VpTyXGU6bgq1k91rb9Dz8x8YeEcdmNPFVMp9pOHwzk4cy/B/LXR6rU/l 2JYks5+Ynk46++a9D/ZM+N+ofs3/ALSngn422EzBfD3iK2ubxFbHm228LPH/AMCiZ1z/ALVfux8a P+COH/BPz402syXXwCsPDV1KDtvvB2NOeM+qpGPK/NCPavzx/bS/4N+fjh8GNPvPHP7NHiN/HeiW ytJLo9xGI9WhjGT8qqNlxgf3drHjCHtwVsoxuEfPD3rdt/uPu8p8WOC+KKUsDiW6LqJxtUSUWpKz Skm0t/tcp+0vh3xBpvinRLPxFotyk9nf2sdxazoeJI3UMrD2IINXq/n2+DP/AAWa/wCCgf7NOh6f 8MLXxXp97p/h22j0+30jxRoKyPbxwqEWJmXy5RtChcFsjFfQXw9/4OXfjBY+XD8Vf2cPD2oD/lrP oGp3FofwSYy/+hV7dLPcFNLnun6f5XPxbMfBTjPCzk8NGFaPTlmk2umkuXX0bP2Hor8+fg7/AMHE X7LPxL1/TfB/iH4T+OdF1PVb2K1tlt7a3vYTLI4RV3LKr8sQOENfoHbsXTJz1/ir0qGJoYlN05Xs fnmdcO53w7WjSzKhKlKV7XtrbezTaY+iiitzxQooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKAP5/P+D4r/j//AGdf+uPiX+en18L/APBq9/ymq+GX/YN1r/03T190f8Hx X/H/APs6/wDXHxL/AD0+vhf/AINXv+U1Xwy/7Butf+m6egD+usdPxrmPi/8AGT4ZfAP4b6x8XvjH 4z0/w74Z0G0a51fWdTuBHBbRrjlie5JACjJYkAAkgHpx0/Gv5s/+Dw//AIKO+L/H/wC01Yf8E5/B esy2fhjwHaWuqeL7eCTA1LVbqBJ4Elx1WG3kjZR03TsTyowAfRfxA/4OXf23f29f2kJ/2XP+CIn7 JFt4j8rcx8Z+MIGJMIbabtomeOKzgyRhp3LNkDap4r3nw1+zB/wdJeI9CHiLxZ/wUT+Cnh7UZIxI dBtvBQuoo2xnZ5ot+eeM818of8GbP7b37MmieH/Ff7CV74Ni0T4m67qc+v2XiEnd/wAJDaRxIv2X J5R7cB3VM7WV3YfMGz++yLtQL6CgD8H/ANpv/guH/wAF2P8Agjr8U9N8Jf8ABRb9nT4efEPwvqsr DSPFHh1JbGHU0UDcsNzFlYpRuBMc0G7HQY+av0Q/4Jsf8FyP2RP+CnPwo1vxH8F/7RsfG3hjRpb/ AF74a6iq/wBpoqITut8fLcxswCB05DEBgpIzW/4OJP2fPCv7Qn/BID4yaVr2lxS3fhnw7/wkmh3L KN9td2MiThkPGC0ayRnn7srV/Jf+xv8AtWfE39in9pjwf+0z8I9cmstZ8K6zFdqsL4W6gDYmtnHR o5IyyMp4IagD9e/+Cp//AAUr/wCC/v7demap8HvgJ+wN8VfhP8N75XgubbSfDN4+r6rbkMClzdBB 5aMD80cQUdizjOfxR+J/wz+Inwc8fal8NPix4N1Hw/4i0mZY9U0bVrZobm1dkVwro3KkqynB7EV/ d98L/HWj/FL4b+HviZoBBsfEWh2mp2RHeKeFZU/8dcV/Hl/wcOAf8Ppfj+Mf8zhD/wCkNtQB9P8A /BvH/wAFPf2zP2Dv2e/Hngf9mf8A4JjeJ/jtpuueMo7/AFDXNB1i4tk02cWkcYt2EVlcAsVUPksv DdO9ffGof8HJ/wDwVE0qc2t9/wAG9fxHSQAEqPEOot+o0Yisf/gyRO79iv4xbuf+Lowdf+wbBX7W bV9KAPxtvv8Ag5J/4Kiadoj+I7//AIN7/iJFZRx+Y8zeI9QO1fXaNHz+ldf8K/8Ag5E+IvxX+GWj fECP9kjTdDn1KBpLnTLzxVLcNbsHK+WW+zRnIKnOQOvQY5/WKYZTg8g8V+AX7aHjbwf8RP2tPiP4 t8BQxLpc/jG/jgaBQEkaKZopJBj+/Ijv/wACr43jXNcflOX06mEnyycrPRPSzfVM+34FyjLs4zGr SxkOeKhdK7Wt0ujR9h2H/BfL416lBeyeG/2Ml8V3trYyT23h7w3rEzX1+64xFCDE2WJI4x615v8A Fv8A4Oh/2jfgH4Tn8d/Gj/git8WvC+i2237Tq+tai9vbRbmCLukazCrliAMkZJFc3/wSe0UH9qDw 94hdOf7Zht4zj2Zm/wDZa+u/+Dk7SrPU/wDgi78aRdpkW+l2M8eOzpf25Brm4FzvH51hsRLFT5nC fKnZL7MX0S7m/H2SZdkmMw8MJDkU4cz1b+1JdW+x+fL/APB8RpJnKQf8E67kpuwhf4kqCR6kfYTj 86/WT9pr/gqV+yh+xb+yr4e/ao/am8bxeGrLxNoNvf6PoMBNzf6hNLBHKba2iUBpmXzFUvhUXILF Qc1/ErCT5oJbHua/UT/gnD/wTt/bQ/4OMv2jIvjH+0x8S9U074Y+BtO0/RNR8SC2wqW1tAkcWl6b GfkEhRAzvyEMhd9zOA33Z8CfQP7UX/B6p+0H4g8Q3Olfsefss+GtA0dJCLbVPGtzNf304zw/lQNF FF/ukyfWvH/DP/B4/wD8FUND1yK+8R+Dvhhq9rG377T5vDc0Ik55G+O4DDj0r+hL9lP/AIJb/sE/ sZeBbXwD8Bv2XPCemwwQhJ9SvtLS9v7tsDc81zOHkckjJy2OwAAArwf/AIKpf8G+/wCw5/wUG+Eu rP4U+Emg+AviXb2ckvhvxn4Z0xbQm4AJWK6ih2x3ETtgMWBdc7lYHIIBxX/BIX/g5d/Zc/4KWeIb H4FfEbw0fhn8UruMDT9Bvb7z7DWnCsWWzuSq/vAFz5UgVjnCl8Gv0uRtwzjFfwTavp/j34IfFO60 Wa5utF8SeE9dkgeS1mKS2V7bTFSVdTkMrpwR6V/ZD/wSA/b+tv21f+CXngf9r74l61bW2o2+h3Nv 45vHIRIbvT2eK5ncDhQyxefjHSQYoA9m/bF/bL/Z9/YR+BWr/tEftKeOYdC8OaSoXeyl57y4ZSY7 a3jHMsz7SFUehJIUEj8Bf2tf+DxL9tP4xePH8DfsGfArR/COmXF19m0i51ixbV9Zv2Y7VxEpEUbN xiMLIQf4jXxX/wAFxf8Agrf8Q/8Agqn+1bf+Io9TubX4beFLyex+Hfh/ftRbYOR9tlUcNPOAGYnJ VdqA4XJ/Uv8A4M7/APgmp8NIfg9q/wDwUl+JHh221PxTqOt3GjeBJLmLcNJtYVC3NxGDwJZXcpux lVjOD85oA8V8N/tIf8HmPiDSk+LOm+DPHT6Uief/AGZd+BNEhMideLd4VuCMdhzXqX7B/wDwdufG T4f/ABot/wBnH/grf8B4/Dci3iWWoeMdK0mewutJlZgu+90+TJMYzuZ4tpVeQj5r97UACgAYx0zX yD/wWA/4JFfAP/gqf+znqvg7xR4asNP+IWm6fLL4D8bR24W5sL1UcxRSuuGltXY7XiYkYbcMMoIA Pyn/AOD1Pxn4V+I2gfsz+PfAviC01bRdZ0vXL3StUsJxLBd28gsGSSN14ZWUggjsa/Or/g3f/wCU 0nwA/wCxvm/9IbmvD/2jPiN+0r4a8NWH7DXx/wBRuli+DfibWLPTtF1AbpdHuZZI0u7ZWPPl+Zb7 gvQFmI+9XuH/AAbv/wDKaT4Af9jfN/6Q3NAH9llfMf8AwUl/4K1/sb/8EuPh/F4q/aS8cOdZ1GJ3 8O+DdGQT6nqhGRlI8gRxbhgyyFUB4yT8p3P+CnH7fHw+/wCCbH7HHiz9qbx6i3UulWvkeHdHMm1t U1OUFbe2B7Atyx7IjHtX8immeI/2kP8AgsX/AMFHvD9j8WPHV1qvjL4s+N7TTp9Ql+aPT7eafBWK MEBIYIi5WNcAKh7mgD9fPBf/AAc4f8Fav+Cg3xNu/h5/wTC/4JwaPe29u+GuNUkn1GW3Q52vcXAe 2tbbIB+VifZjXrHiP9sD/g7f/Z/0H/haPxL/AGEPhj4y0e1h83UtD8PXFtc3cSDO4COzvjKxwP8A lmJB7Gv1I/ZB/ZG+BX7EXwH0T9nf9nzwTa6LoGiWyRgRRjzrybYA9zO/WWZyMs7ZJ+mK9NkQOpXH XrQB+XX/AATZ/wCDpT9kX9sXx9afs/ftIeDrz4L/ABHurv7Fb6fr12ZdNurwME+zrclEMEpYkBJk QZG3cWwD9bf8FIf2yf2jP2Ovhjonjf8AZs/Yf8R/HS+1LVmtdT0XwzqBgk06ARlhcMRDLuUthcYH Jr8zf+DuT/glF8Mdd+BLf8FL/g34Pi0zxj4e1O2tviCbKPYmq6dKTEl3Io48+KUxKXxlkc5J2LXM /wDBr1/wXu8VfEDXtI/4Jr/tk+MZtRv3gMPwt8YajNullWNP+QVcORl22qTFIxydvlkk7KAO+/aA /wCDpv8Aah/ZRt7XXP2kP+CK/jTwRDqc/wBns73xF4se2S5kVd/lrI+n4YhSTtz3Nef+H/8Ag9sl 8T65ZeGPD/8AwTZu7u/1C6jtrK2h+JKlppZGCoi/6D1LEAfWv1W/4K1f8E+/Cf8AwUu/Yf8AF37M utrBDq9zbC/8IanKP+PDVoPmt5M9lY5if/Ylbviv4ufiJ8PfH/wX+Jer/Df4gaDeaN4i8N6tNZap Y3CGOW1uYZCrqfQhl6j6igD+rH9n7/gtJ/wUj+MHxt8KfDHxp/wQv+JXhLRdd121s9X8VX+vu8Gk W0kqrJdupslDLGpLkbhkL1FfpSrbk3AfhX59f8G5P/BUKx/4KOfsIaZpXjvxBHP8SvhrFBoPjOKZ x516iRKLbUccZEyDDH/nrFJ6jP6BzTQQwNLNKqxqpLMzYAHuaAPyV+MX/Bw//wAFFv2fPh5qHxa+ Nv8AwQc+IHhnwzpMXmanrmreM/LtrZSQAXf7DgZJAHuQK5L4A/8AB0P+2F+1f4Zu/G37N/8AwRP8 c+NdIsbz7Jd6j4f8XPcQxT7QxjLrp+N21lOPcV4N/wAFMv2qPjV/wcU/8FC9H/4JY/sKeIJI/g14 R1X7V428Z2wL2l68JAm1CQjG63hO6KBM4llbfyCpX9x/2QP2T/gz+xJ+zt4Z/Zo+A/hmPTPDvhqw WCEYzJdy9ZbmZv45ZXy7N6tgYAAAB+cfxD/Y8+JX/BXf9mnWv2sfEn7EWrfs+fGTStYntbXwrrl3 vPie0jijdZJWMUIV2Z3RJCucxYYkEFfyw1rRNX8N6xdeH9f02ezvrK4eC8tbmMpJDIhKsjA8gggg g+lf1aSoCuNmeeRivx6/4OFv2HrHwN4u079sr4e6MIbLxDcCx8ZxwphUvQo8i5/7aKrK3T5o1JyW r5vOsvhyPEU1qt/8z+hvBvj/ABMMZHIcfPmhL+E3vFpX5L/ytfD2ei0at8w/8EfPg4fjP/wUI+H+ mT2nnWmg6g2vXi44AtAZUz/21Edf0R24Ij5HU561+Rn/AAbQ/CBLrxj8Rvj1fwDFlp1todhI3Yyv 5836RQ8+5r9dhgj5cfhXXkVL2eC5n9pt/ofL+Nma/X+M3h09KEIx+b99/wDpSXyCiiivZPyEKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD+fz/g+K/4/wD9nX/rj4l/ np9fC/8Awavf8pqvhl/2Dda/9N09fdH/AAfFf8f/AOzr/wBcfEv89Pr4h/4NS9MbU/8AgtT8Owsu wwaFrs3TO7bps3FAH9cI6fjX86P/AAdA/wDBEn9sv4p/tw6n+3F+yr8DNe+IOheN9LsV8Rad4SsH vr/T7+0tYrTJtYgZHjeGGEhkVsMH3Y4z/RavSsP4kfEX4ffCDwNqnxM+J/i/TdA0DRrR7rVdY1a6 WG3tYVGWd3YgAf570AfgN/wa8/8ABEL9sP4J/tej9t39rn4Pav4A0rwvot1b+GNE8SW5ttQ1C9uE 8oyG3Yb44o4jJy4UszLgEAkf0KryAfavxE/bq/4PLfgV8ONZvvAf7BPwMufiBfQSNCnivxYz2WmS ScgNDBGfPnTOMbjCTzjjBPz34V/4LWf8HTX7Wdr/AMJL+z5+ytdWukXg3Wlz4e+D0os3U8jyri+M gcYxyHP1oA/ab/gs7qFrpf8AwSi/aCvb2TbEnwr1fcwGetuwH6mv4nl4YfWv2a/bo+OP/B03r37D 3xGX9tT4byaZ8KbzQlg8a3F/oOk280Vo80a/L5TeYMuUU7RnDEV+Mp+/x69qAP7if+CY97dal/wT c/Z81K9l3zXHwR8JyzORyzto9qSfzNfyi/8ABw7/AMppfj//ANjhD/6Q21f1bf8ABLn/AJRnfs6/ 9kL8I/8ApltK/lJ/4OHf+U0vx/8A+xwh/wDSG2oA/X//AIMj/wDkyv4x/wDZUYP/AE2wV+1tfil/ wZH/APJlfxj/AOyowf8Aptgr9raAPM/2zvjxpn7L/wCyZ8R/2hdWkQR+DvBmo6pGsjYEk0Vu7RR5 /wBqQIv1av5uP2Rtf1bxX+zn4X8Ua/ePcX2pWkt1e3Ehy0ksk8jux9yxJ/Gv1I/4O5v2nv8AhR// AASquPhRpWp+VqnxS8WWWioivtY2UJN3ct7j9zFGR6TV+WH7CdlNq37M3gHTLYnfcaesS/VpnFfn niO0sppN/wA//tsj9J8MU3nFZLrD/wBuifo9/wAE09Kj8O/Ff4emcbXu9dSZwe5ckL+m2vpf/g5A /wCULnxwProVp/6XW9eEfsjWUWn/ALQfgLT4UxHDr9miD0AYAfyr3b/g49/5QufHH/sB2v8A6X29 eF4PVZV8rxc31q3++MT2PGOkqObYSK6UrfdJn8dSEBhmv7f/APgl18Fvhn8BP+Cevwd+H3wo8KW2 kaUPh9pV89vbpzLc3VrHcTzOeru8srsWPJJ9q/h/XqPrX91X7DX/ACZR8H/+yW+H/wD02wV+wH48 epUjjPHr60tIfvCgD+Ib/gq7YWmlf8FNfj1YWUWyGL4s66EQHoPtstfph/wTx+OXiX4Rf8GlH7S2 oaPqskM9146vNDsWViDGmoR6ZbzgEcjMUkv4nNfmp/wVv/5SgfH/AP7K3rv/AKWy19z/ALMl3a2v /BpF8eEuZdpm+ONrHEP7zZ0w4/IGgD8kicPk9jzX9bP/AAahalLqP/BGHwNHJGqi18R63CpUfeAv XbJ9/m/Sv5JSMHGK/rS/4NMv+UMvhD/sbNc/9KzQB+lVIy7hilooA/kx/wCDsf4O+HvhT/wWG8T6 x4dtYoV8Y+F9K128SLvcvE0Ejkdixg3H1znvXkP/AAbwf8ppPgB/2N83/pDc173/AMHf7P8A8Pgb wbjgfDrRce3yy14J/wAG8P8Aymi+AHOP+Kumwf8AtxuaAPvL/g9O/a61TxV+0X8OP2K9H1Bv7L8J +H28Sa1bJJ8sl9eM8UO4d2SGJiPQXB/vV8B/8EDvi78B/gH/AMFVfhj8Z/2kviHpnhXwp4cnvry7 1vVy3kQSiymWLO0E5LsoHHU12v8Awc6eL9Q8Xf8ABa74xTXkjlbCTSdPgVm4WOHS7VMD0BILfVj6 1U/4N4P+Ce37Pn/BS39vq6/Z4/aVttVm8NWvw/1HWfL0XUTazvcQz2saDzADhf37EjHOBQB/SKv/ AAcDf8EaAOf+Cgngb/vu5/8AjNL/AMRA/wDwRn/6SCeBv++7n/4zXg1j/wAGiP8AwRwtblZ7jwN4 9uUXOYZvHU4VuO+xQ35GtD/iEo/4Iuf9Eb8Yf+HAvv8A4ugCp/wU4/4LJ/8ABH39pb/gnh8bPgZ4 c/bj8E6tq/iP4Y6zbaBpkbXBa41IWcj2armLG77QsOPfFfys/D34geK/hV4/0b4k+AtYl07WvD+q wahpN/bSbXguIZBJG4Psyg1/V9pf/BqJ/wAEXdMjaP8A4UL4inJOd1z45v2I+h8wVZP/AAaqf8EX M7h+zrrOc/8AQ6X/AP8AHaAPsf8AYr+Pa/tW/si/Db9pA2iW7+N/BWm6zNBGPljkngSR1UegYtj8 K/FL/g70/wCCTAja3/4KgfA7wuW3GHTfirZ2cP3cAJbamQo7/LDI3r5R/vGv3P8AgD8C/hv+zN8G /DvwC+D+iPpvhfwnpcen6FYSXLzGC3TO1C7ks2M9Sav/ABX+FngL42fDTX/hF8TvDdtq3h7xNpM+ m61pt1GGS5t5kKOhB9icHscHtQB/Gn/wRv8A+CkHir/gmB+3F4c+PtrLcz+GLxhpPj3SIm4vNJld fMIUkAyRFVlTOPmjxkBjX7V/8HFn/BaRbr4V+Hf+Ce//AATt8TN4q8e/GjTLR7/U/Csnnz2uk3oU wWsPlnP2i7RwPVYmJ4Lgj8RP+Cuv/BOrxz/wTD/bW8S/s5eIEnn0N5DqXgfV5U/5CWjyyOIJCcAF 12tE+OA8bdsV7t/wbK/tG/ssfAP/AIKjeF/EH7V+j280msWD6P4K8T6pOrQeH9VkAjhlcPwN6Zt1 k/5ZmQdBkgA/oR/4Ib/8EnfB3/BKv9kay8DX8NpffEXxPHHqHxE8QW+GE11glLSNuvkQK2xf7zb3 43YH2qoIGCaFCAZTHPpS0AFeO/t8fA6w/aK/ZF8f/Ca8tRNJqPh2aSwXbkpdwDz4GX3Ekafy717F TXijkzvXORgg96ipBVIOL2asdOCxdbAYyniaTtKnJSXrF3X5H82f7C37dvxh/YN+LEXjbwJeSXej 3Mix+JvDM8pEF/CD83HRJVGdsgGVxzkZFfv9+yl+1p8If2wPhHZ/F34P60Lm1nAS/sJXAudOuMAt bzKCdrrkexBBGQa/mt+KulWmhfFLxHoliCILPXryCAHqESd1H44Ar0H9i39tH4wfsQ/Fy3+Jnwu1 Ey2shWPXNAuJW+y6nb5GY3UdGH8L4yp6cEg/GZbmc8DP2c9YX+7zR/X3iF4cYTjLB/X8GlDFpXT2 U1bSMvPtLps7rb+mEHIB9aK85/ZX/aJ8PftVfA3w98dPCmi6lptlrtp5qWOqWxjliYEqw5GHXcDh 1+Vhgg16NX2kZRnFSi7pn8f4nDV8HiJ0K0eWcG4tPo07NfeFFFFUYBRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQB/P5/wfFf8f/7Ov/XHxL/PT6+Lf+DTL/lNZ4E/7FfxD/6b Zq+2P+D4ywuEX9nLVGUeVJ/wk8SHPO5f7NJ4+jCvif8A4NMv+U1ngT/sV/EP/ptmoA/rRubqCzhe 4uZVSONC8jscBVAySfav5JP+C+n/AAW9+LP/AAUp/aA1n4S/Dbxjcab8EfDOrPb+G9GspCi628RC nULroZSzAtGh+WNCMDcWY/0u/wDBVzxX4o8Ef8E1fjp4p8F+b/adp8LtZNqYThlLWrqzA9iFZjn2 r+IhGYuMevpQB/RP/wAGsX/BET4D33wA0X/gpN+0r4KtfEvibX72eT4faNq9uJbPSbSGXy1vvLbK yXDvHIVLAhEwQNzZH7nxQrEAqAAAYAAwAK+Mv+Der4leDviZ/wAEdfgdqHg26hePS/Cp0m/jibPk 3dtNJFMh9DuUn/gQPevs9jgcHmgD4r/4OKRn/giz8fDn/mVbb/04WtfxsgENg+tf1K/8Hdv7aHhz 4Qf8E7V/ZA0bUY7jxf8AGPWrS3h0yBt06abZXUN1NMEHIDSxQRA9/MYDpx/LW3Eh7c96AP7hP+CX P/KM79nX/shfhH/0y2lfyk/8HDv/ACml+P8A/wBjhD/6Q21f1af8Euz/AMazf2dsMMj4F+EuM/8A UGtK/lP/AODiazubP/gtT8forqFkZvFdtIA3919PtWU/irA/jQB+vf8AwZH/APJlfxj/AOyowf8A ptgr9rT0r8Sf+DI7WbCT9kn40+HY5P8ASbf4jWdzKvoklgiqfzif8q/bbI9RQB/NF/wei/tNHx5+ 2t8Pv2XtH1EvZeAfBZ1HU4VbhdQv5WOCPVbeCAg/9NTWZ/wSu0T+2fgx8PpWQslnozzycccO4X/x 5h+VfDn/AAWz+ON1+0P/AMFXvjv8Rpbgy28fxF1DSdOYtkG1sJDZQkegZIA2P9o1+iP/AASH0Zo/ 2SPDfiCQAeZpiQRE+gkdm/Ur+Vflni3W9hw3GXVzt98Wj9W8IaXtuJJxe3Jf7pRZ92/srHH7SHgj /sZLX/0MV7R/wcfanpyf8EbvjZo0l/Ct3P4eglhtmlAkeNNQtQ7hc5KqXQEgYBdc9RXyyn7Q/g39 k5h+0t4+trq40fwQDrF/bWChpp44AXMaAkDc2MDPAzntXxh8VvE//BQ3/god+yr+1H/wWD/al0Q+ Hvhnqnwfk8HfC3w7M5RY7aXxDpV2GtY8DfGotWEly2DLI425CYXzPBZf8IuJf/Txf+ko9Hxr/wCR 3hv+vb/9KZ+Mw6j61/dT+w1/yZR8H/8Aslvh/wD9NsFfwrD7341/dT+w1/yZR8H/APslvh//ANNs Ffsx+MHqVIfvClpD94UAfxF/8Fb/APlKB8f/APsreu/+lstfZPwb/tI/8Gl/xY/s9XK/8NH2P2nY M4j8qyzn2ztr42/4K3f8pP8A4/8A/ZWtd/8AS2Wv2F/4N8v2QNN/by/4N3fjz+yreukdz4q8c6pH o1zJ0t9RjsbGa0kPsJ448+q7h3oA/n0YYbGfxr+tH/g0yx/w5l8HkH/ma9c/9KzX8o/xF+H/AIw+ FPxA1r4Z+P8AQp9M1zw9q0+navp9yhWS2uYZGjkjYeoZSK/pq/4Mzfi9a+M/+Cafin4Vm4X7T4L+ Jd2jQ7huEN3bwTo+MdC3mge6GgD9eKKKbI4VN/mKoHVj0AoA/lG/4O7tVF5/wWP1uzEJQ2XgPQoi 277+YGfPt9/H4V4b/wAG8RA/4LRfADP/AEN83/pDc1Y/4OGf2pvDX7XX/BWz4rfETwTexXei6NqU XhzS76AgpdJp8YtnlUjhlaVJCrd12nvUH/BvAAf+C0nwAz/0N03/AKQ3NAHo/wDwdT/DW/8Ah/8A 8FpfiNqE9r5dt4l0jRNXsX248xH0+GF2/wC/0Ewz/s16P/wZvXNvb/8ABXDUIpplVp/hDrKQgnl2 +1WDYHvtVj+FfXv/AAeifsMav4k8J/D79vzwVoMlwugI3hjxpLChJhtpJDLZTv6IJWmjJ7GVPWvz X/4NrP2itE/Zt/4LCfC3W/E+ora6d4nnuvDNxNLIFTffQNDACT/038nHvigD+wmikRiwyR+dLQAV Q8SeKfDfg7Q7vxP4s16y0zTbCBpr7UNQukggt4x1d5HIVFHck4q+SB1NfkD/AMHRf7a3ibxN4Y8I f8Eev2YZG1X4mfG3V7KPXbKwkzJZ6WbgeXE+PuefKoJzjEULk8MDQB+t/hnxR4b8aaJb+JvCGv2W qabdpvtNQ066SeCZckbkkQlWGQeQT0rg/wBr39rD4N/sS/s8eKP2lvjt4hXTvDvhfTXubkrzLcyY xHbwr1eWR8Iq+rdgCaofsgfs/eCf2Hf2P/A/7O2i6jBBpHw/8JQWVzqEzCONjFHuuLly2NoZzJIS f7xz3r8Vv2jvHHxZ/wCDpD/gpRB+y58C9c1DS/2Wvg7qS3PifxJbqVTVZQxR7hTxummAeK3Uk7I9 8xHLLQB4r8LP+Cf/AO27/wAHQXxY+LH/AAUI+K/iqbwZ4U0/TbvS/hRaXUfmQSXUO57XS4t2MW8e 8me4A5llJAyWC/kh8TPhv48+C/xI1r4X/Efw/caN4j8NatNYavpt0NstrcwuUdD7hlPI9iK/uu+C HwU+Gn7PPwo0H4IfCHwla6J4X8MaXDp+i6VaphIII12qCerMerMSSxJJJJJP4rf8HbH/AARyTxz4 Zm/4Ke/s9eFSdY0W2jg+Kum2ceWvLNdscOpBR1aIYSTA5j2sf9WxIB9E/wDBsj/wWTj/AG/v2dW/ Zo+OniTzfiz8N9OjjmurqXMviHSgdkV5/tSx/LHL1JOxz984/U1W3LuAIz61/Cn+x3+1h8Xf2Iv2 kPCv7T3wU1prLxB4U1Fbm3Df6u5iPyy28o6NHJGWRh6NkcgGv7P/APgnt+3N8Iv+Cin7KXhj9qL4 NX6/Y9atQmq6YZA8ukaggH2izlx/EjHr/EpVhwwoA9uqh4j8Rab4W0O+8Q6vMI7XT7OS6uZGOAsc aFmP5A1fJA6mvkv/AILRftLWX7Ov7Dfia3tL0R634xi/sHRUBG4mb/XuP92ASH6layr1Y0KMqj6K 56eS5ZXzrNqGBpL3qs4x+96v5K7fkfgH4x1u48TeLtU8TXABl1DUZ7lwo6tJIznH4mv0W/4JK/8A BGG++MT6Z+0p+1f4fkt/CmUuvDnhW5Xa+sDhknnGcpB6IRuk74X73Pf8EDv2M/gL+0t8U/EXxJ+L 8Q1e78CSWk+l+GZ0/wBHkkkLlLmXn94FaMgRkbc8nPAr9t4YIY4wkcQUAYAAxwK+byjLIVksRV1X Rfq/8j+ivFbxKxOUVJ5DlV4TSSnPZpNX5YebTV5dNlrqodJ0jTtEsINL0iyhtbW3iEcFtbxhEjQD AVVHAAHYVaoAwMCivqdj+Y223dhRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAK+NP2vv+C+H/AATP/YX+Oepfs5/tHfGHU9I8V6Tb2819ZW3hm7uURJoxJGRJGhU5VgeDxX2X XPa78JPhV4p1J9Z8TfDLw/qN5IAJLu/0aCaRgBgAs6EnA4oA/mi/4OlP+CsH7E//AAU30L4KWP7I PxGvdek8GXfiCTXxe6JcWYhW6TTxDt85Rvz9nlzjpgetfK//AAb8/ti/Ab9g3/gpt4U/aQ/aU8T3 Gj+E9L0LWLa8vrbT5bl0knspIogI4wWOXYDOOK/r5/4UF8C85/4Uv4T6dvDtt/8AEUf8KD+BX/RF vCf/AITtt/8AEUAfn943/wCDnr/gh38SPCOq/D7xb8cdVv8ASNd02fT9UspvBN+UuLeaNo5Iz+76 FWI/Gv51/wDgqT/wTM+K/wDwTn+OD6VfaHqOofDfxOi6n8M/HDWji21fTJlWWFWcqAtxGkiLJEfm DDP3WUn+yn/hQfwLzn/hS/hPj/qXbb/4in/FL4F/Bf44eBJvhf8AGT4UeHfFXhueMJLoXiDR4bu0 YD7v7qVWUYwMEDIxxQB/Iz/wSJ/4L1/tU/8ABJGPU/AvgnQNK8ZeAdbvReah4Q1yaSMQXO0K09rN GcwuyqqsCrK20cAjNfoN8Rv+D3DxJq/gGXSfg3+wfDYeLJ4zHaXuueLzd2cUhGFbyIoI3fDY+XeM 9M96/QT4jf8ABrv/AMEXviLqU2p/8Mu3GhNM25ovDfim+tY1Oc/KnmkL9BgV6P8Assf8EGv+CU37 H3ia38c/CT9kjQrjXrOQSWWt+KHk1W4tXBBDxfamdYnBGQ6qGHY0AfCX/BEn/glv+0v+2T8eJ/8A gsj/AMFePt2s+KdUQt8N/B3iOyMQs4WRkW8e0ZQsESo3+jwgDGTKfm2mv5/f2xP2a/HH7I37UXjj 9nL4haXc2eo+FPEt1Yj7ZEUaeBJWEM4yBlZI9rhhwQ2a/usWKNMBFwAMADpivEP2r/8Agmr+wh+3 E8N3+1T+y94U8YX1vH5dtrF9YeXfxJ2RbqEpME/2d+32oA+Lf+CXX/Be3/glx4e/4JqfCjQPi9+1 f4b8IeIvAnw60vw/r3hzWmkS9Sews47YtHEFLTK4iDqY92d+OCCB+Kv/AAXt8KfE79qL9oLWf+Cs PgX9nvxNofwX+JmsLpvhXxRq1k0Z1RrK3itxeyRkZt47gITDv++ImxyCK/oj+Fv/AAb6/wDBHX4Q eLIPGvhb9hbwndX9rIHtjr7XGpwxsDkHybqWSIkEAglTjHFfUvjz4NfCX4o/Dq5+EPxH+Gmha74V vLQWtz4c1XSop7GSEDCxmF1KbQAMDHGBjFAH8s//AAbF/wDBXD4Sf8Ezf2jfFvgX9pDVJtN8A/E6 xsob3Xo4WlTSL+0aYwTyKuW8plnlRyoJHyEjCmv3D/ai/wCDjf8A4JkfArwcJ/hH8aLX4x+MdSUR +GvA3wxzqV3qFy4xFEzxgpDlioOSXGThGOFMmr/8Gyv/AARZ1fXpNeb9j63tvNl3tZ2fiTUI7cH0 CCfgewr3n9lz/glp/wAE8/2L75db/Zo/ZH8GeGNVVQo16LSxcaiBxwLucvMoyAcBwM9qAP4yP2s/ DfxU8MftJ+NbX42/DbU/B3ii78R3V/q3hrWbdormwe5ka4EThgDwsq8kcgg1+p//AATN+MU/gP8A ZD8H6FJoz3qS6dvtxDJhg5dwR0Oc8dOa/c/9sr/gj/8A8E6f2+vE8Hjr9p/9mjR9c8Q28CQL4htp ZbO+kiXO2OSaBkaVRk4D7sdsU34Tf8Egv+Cf3wQ8LWHg/wCG/wADIrGy02HyrPfqlxLJGuScB3cn qT3r43jfhyvxNlcMNS5bqXN7zaWzW6TfU+14G4kw3DOaTxNfms48vupN7p7NpdO5+Zfgjwl4T+JX i3S9b/bFvNM0v4bxX0UniXTNWuBBZrpwcfaGu3YgLEIt24sRxnpXtf8AwW+/4KJf8E0Pil/wSB+K /wAAP2dP2y/hFqmqSeGbW28O+FfDPi+ykkkSK6tyILeCFyTtRThVGAF9q+7PEX/BNn9jbxfoF74U 8WfCGHUtL1K1e21HTru/naK5gdSrxON/KspII9DXmH/EP7/wRqPX/gn54GP1S5/+O1zcCcN5lw1g 61HGOHvSTioXsla3VI6OPuJst4nxtGthFNcsWpOdrt3v0bP4yFU7sZH51/YJ+xF/wWz/AOCTlh+y n8MPA+tft7fDrS9W0j4f6NYanY6zrQsnt7mGxhjljbzwgyrKwz044Ndl/wAQ/f8AwRn/AOkfXgX/ AL93P/x2j/iH7/4I045/4J+eBj7lLk/+1a+7Pgj6db41fCRfhC/7QB+I2jf8IPH4fbXX8W/2jH/Z 40xYTO155+dnkiIGTzM7doznFfPUv/Bcj/gkKjsjf8FEfhblc5x4niI/DHWvfofgF8Grf4Fn9mZP h3pp8At4Ybw6/hWSIvaNpTQG3azZWJ3RGElCpPKkivAB/wAEL/8AgkAP+cd/wwPufDqE/wA6AP5H P+CjvxG8I/GP9vv4yfFPwBrMGoaJ4h+JOsX+k39tJvjuLeW7kaORT3VlIIPoa/bb/g0+/wCCgX7D /wCy1/wT38VfDz9o/wDay8AeBddufibeXtvpPivxRbWM8tu9naIsqpK6llLIwyO6mv0t/wCHGH/B ID/pHd8L/wDwnEpk/wDwQq/4I/XEDW0n/BPH4ZBXUqSmgKrAH0YEEfUGgD8pf+C7/wDwTP8A2dP+ CpOva5+3h/wSD+Lvgr4neOdCsYm+LHgX4f67Bf3GoQ4fytQhigLFrnC7Gj4MoQFQXVg/5u/8Eiv+ Csvx7/4I2/tI6j4isPCk2p+G9aaOx+IXgXUd1vJcJEzbXTdgw3MRZ9pYEYZlYc5H9Y37Kn/BPD9i r9h681i//ZO/Z40LwNN4giij1mTRRKDdrEWMYbe7fdLNjHrXnv7bn/BFz/gm3+39dSa/+0P+zXpM viGVNreLdAzp2qMO2+eDaZsdvMD47YoA8l+Gv/Bz3/wRl8e+BIPF2pftSt4auZLbzJdB8QeHb1L2 FucxsIo5ELD/AGXIPY1+d/8AwVe/4OpNc/ad0a7/AGN/+CUngfxI0/i1v7IuPHFxpzLqV952Y/s+ mWqEyI8m4KJXxJyQqA4evpuX/gzC/wCCXMmuHVk+MHxoW23ZGmr4k00xD23HT/M/8er6/wD2Ff8A gh1/wTa/4J5a9H43/Z/+AVvJ4qgjZIfF/iW6bUdRhBxnypJflgJxyY1UkZGccUAfzJ/8FKP+CO3x Z/4Jj/sz/CP4pftEeJVHjn4oXV/PqPhW3+ZNEgiigdIZZCMvckyt5gHyrgKCxBNct/wQ8+Lnwy+A n/BV34K/F/4y+ONO8N+GND8Tyz6xrmq3Ait7SM2dwgZ3PCjcyjPqRX9fH7TP7DX7If7Zcekw/tT/ ALPfhnx2mgtKdHTxHYC4W0Mm3zCgJwN21c/QV5P/AMOMP+CQP/SO/wCF/wD4TiUAc98VP+Cnv/BF f9r/AMA6n+y/46/bX+FniXSfHtqdEu9CPiGNnvPtB8tUQdpNzKUYcqwUjBAr+cX/AILC/wDBF39p L/gkX8df+Er0a11PWfhjd6v9p8D/ABB06JyLXEheG2unUAQXSBQeyvt3Ieqr/SvoX/BCr/gkX4Y8 W2Xjrw5+wb4GsdV02/ivbC7tLaaP7PPG4dHRVk2qVZQRgY4r6c8aeAvBHxI8M3ngr4h+ENM13RtR iMV/pOs2MdzbXKHqskUgKuPYg0AflN/wRi/4Oef2Wf2l/hFovwe/bq+Kmk/Dv4o6Rax2d3rviW6S z0nxBsUKLlbmRhHBK2MvHIVBY/ITnA/SST9tH9j2Lw03jOX9qz4bLo6R731VvHOni2VcZ3GXztuM d818d/tDf8Guv/BHn4+anPrVp8Ar3wLeXDl3k8A63JYwhicnbbsJIVH+yqBR2FeJWP8AwZe/8Ev7 bWV1K4+NfxruIA5Y2EviPSxER/dyunB//Hs0Adr/AMFDv+Don9ir4DaJc/DL9iTVP+F4fFPUibLw 7Y+EoHutLhu3yqNJcR/8fA3YxHb7y5wMqDkeFf8ABKj9ljw7+w38TLz/AILHf8F3vjponhL4u/FG 8uU8E6d47vlgk0tJIw0rsjj9zc+URGkK/wCph+U4LFV/RX9h/wD4Iv8A/BOH/gn1dp4g/Z2/Zv0q HxEibR4u14nUdVUHGQk82TCDjkRhM984Fev/ALRv7I/7Mf7WPh6y8PftLfAXwn48s9Jne40q28Wa HDfR2kzrtaSNZVYKxAAJHUCgD8Rv+Dhb/gvn8P8A9pnTNJ/4Jz/8E+/jroU2g+NJYoPiN8Tf7RNv p0du8iBbNLk42xdWuJAMbAEGcvX2N/wTD/a9/wCCFf8AwTG/Zf8AC37Kvwr/AOCgXw11DU5JEm8Q 65b6kHl1vVZdokmkZFO1d2EjViAiKo7EnnP2XfA//BFHxl8Wtd/ZV/aU/wCCeXwP8IfEXw3r1zpS S3XgKxisNZMcrKjxO6YjkZQpMbEZLfKT0H2Np/8AwRx/4JPQSQ6lYf8ABOz4ORyRuskE0XgGxBVg chgRH1yAc1lRr0q8eaDv+nqenmuTZlkmIVHGU3FtJp9JRe0ovZp9189T6UtLu3vrdLu0lEkUqB45 FPDKRkEexFeQ/to/tbfsefsk/C/+3/21fifofhrwp4gkfSj/AG/byTQ37PGxe3McaOXzHuyNpBGa 9ftra3s4EtbWFY440CRxoMBVAwAB2GK4P9oH9lb9mz9q7w7Z+Ef2mPgZ4W8eaXp939rsdO8V6LDf Q28+0r5qJKpCttJGRzg1qeYfxb/8FHvhf+y98Jv2ufFfhv8AYu+NGn+OvhhcXn27wjrFis6mC2lG 77JKJ40bzIWzGTghlVWzzgfT/wDwbt/8FiL3/gl/+09/wiPxY1u4/wCFQePp47XxdF8zrpFxuAi1 REHeMZWQAEtGx4JRRX9KB/4Iy/8ABJg4Df8ABOX4NHA7/D+x/wDjdcr8Xf8AgmX/AMESfgN4Nu/i J8W/2G/gVoOj2SFpr3UPA9gi9Cdqgx5djg4VQST0FJyUVdmlKlVr1FTpxcpN2SSu2+yS3Ot+CP8A wWA/4JmftMeIz4L+B37ZvgvXtXWxnvjp0V80Mq28ETSzSlZlQhUjVmY/wgHNfjx/wVk/bzn/AG5P 2i3vvDF1J/whPhUSWXhOF8r5yttMt2y9mkZRj/YVOhzXO/ty/Gr9irxl8QBpX7B/7HHgP4ZaBp5m hbxL4f8ACVtp+q6wjqUcPJEoaO3ZSR5Wfm6v2A+fVBY7VGSewFfI5vmccT+5pP3er7/8A/qzwo8N a3D/APwrZpG1eStCP/PtPdv+81p/dV1u3b7v/wCDef4tL4A/bnn8C3VwVtvGXhW5slQtwbiFkuIz jPJ2xyAf75r90EcOMgHr3r+aL9hHxV4u+FH7YPw3+JWj6DqMy6X4usnvBa2cjs1q0ojnHyjvE7j8 a/pbgIZNw7816WQVObCuD6P8/wCmfnvjtl8MPxRRxcNqtNX9YNr8nEfRRRXun4iFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUVkeN/Hfg74beGrzxn4+8VaboukWEXmXup6tepbwQLnG55JCFUcjqe9AGvRXg3w+/4Kgf8E8/ it4ps/BHw6/bN+HWr6tqM5h06ytPE9uWvJAcFIiWAlbOBhSete7o28ZyPwoAdRXjvxw/b8/Y/wD2 cfGEfw6+MXx60XTPEctt9oTw3bebe6l5P/PQ2tqkkwTp8xXHvWn8BP2zv2Wv2opr6y/Z++O/hvxT eaWxXVdN02/H2uxOcYnt2xLCc/31FAHps0sUETTzSBURSzsxwAB1NY/w8+Ifgr4seC9O+Ivw68RW +r6Hq1uJ9N1K0bMVxGSQGU9xkGvzl/4L2/8ABcj4HfsW/AXxd+zV8GPiDZa38ZvEWmT6RHp2kziQ +GUnjZHu7l1yI5VRiY4vvlirFQvJ7v8A4Ip/txfsfWn/AATs+APwRvv2pPAa+NT4I0/T28LSeKrU ah9sIx5Hkb9/mZIG3GeaAPveZgsTMxAAUkkngV+Tl3+zb+0P/wAFvP2/bj9o3XPij4r8EfssfDu4 bR/Blt4f1y4sJ/H00MpF1cIYXR1tnmUqJyPmjRRGclmH6T/tHfFn4BfCP4T6r4g/aX+IWh+G/CNx CbPU77XtUW0hkSUbTFvLKSzAkbVOTnivM/hv/wAFM/8AgnXrGsaP8K/Bn7R3hfSLq8RLXw7pGqwT aQt0qhVSK1F3FCsoA2gCPcMYxxQB71o/hnRfD/he28H6RaeRp9nYpaW0CSN+7hVAiqGJ3cKAM5z3 zmvwj/4OhP2d/AP7Bvwv+FvjH9k7XfG3hDUvFHijUIdcuYfiZrt39pRIEdV23V5IqYZiflA/Kv3q Vg8YcMCCMgg8GvxQ/wCD0L/khPwO/wCxw1P/ANJY6AP2M+C881z8HvClzczPJJJ4asWkkkYszE26 Ekk9SfWulrl/gkcfBfwif+pXsP8A0mjrifip+3v+xl8EfGrfDf4q/tMeDtG8RJF5kug3GtRtexpj O5oEJdVx3IA5oA9eorg/gf8AtO/s+ftL6HP4l/Z7+NHhnxnY2sgju7jw7rEV0Ldz/BII2Jjb2YA1 295eW1hbPe3k6RRRKWlllYKqKBkkk8AAdzQBLRXzJr//AAWY/wCCV3hjx4fhnrn7fPwwg1lZzBJb DxRCyRyZxseVSYkbPGGYGu2/aZ/4KAfsh/shfAy3/aP+Pfxz0PR/CF8UXSdViuftP9qO67kS1SHc 1wzDJ+QHABJwASAD2WivJv2a/wBt79mH9rb9n6H9qH4F/FzTNW8ESCb7RrU7NapZtCcSpOs4Uwsn UhwOCDyCDXLJ/wAFVv8AgnGZEB/bV+HQie6+zLeHxJCLYzdNgnJ8vdnjG7rx14oA+gqbKcRscZ46 VX0PW9I8SaTb69oGqW99ZXcKy2l5aTLJFPGwyroykhlIOQQcGn6nciz06e8YgCKFnJJ6YGaAs3oj +f8A/wCC0/h/Q5/2yLn4z+D0C6X49sBeIVHAu7SWTTrpfqJbRifUsfWue/Zg/wCCuH7bn7LVrb6B 4W+J767oEGAmg+KIvtcKL/djZiJYh7K4HtzT/jV4lT9oj9i+8+IcchmvPh78XtTWZj1XTtc3XMRO P4RcWs2M8Au3rXg/wu+D3xT+NXiJPCXwl+H+reIdQfGLbSrF5SgzjLEDCL6sxAGOTXwFWrVjivaU W05a6ee/43P7pyvK8pxHDMcBm8ITjh7037S1ko/C7vZ8jg7767n6d/Dz/g5kQ2kcHxV/ZVc3CgCW 68P+JPkc9yIposp348xvrXV6j/wcvfAn7Gz6T+zV4smmPRbjVLWND/wJdxH5V+fUf7KHwO+CKfbv 2vP2hrKDUYRmTwB8PPL1bVCw/wCWc9wG+y2pzkEF5GH93vU8B/4J8/HqP/hC9E8P6z8GNXg/d6N4 j1bWZda07UByQNQwivbOTx5sKlADynBJ7lmWZxVnUV+ztf8A4HzsfG1vD3w3xFX2tHA1ZU1vKDqc i80nLmmvOmpJH0t8Z/8Ag5E/aD8VWkum/BP4KaB4TDKVj1DU719TuF91G2KMH2Kt+NfC/wAdv2l/ jz+014lPi346/FDVfEd4GJhF9cfuYAe0cS4SIeygVP8AHb9mL4x/s8X1uvxB8Ng6ZqALaN4i0yZb rTdUj7Pb3MZMcgxjjO4HggUfsu/BeT4//HXw/wDDV7r7NptxdfaNf1BjhbHTYAZbu4Y9gkKO31xX DXxGNxU1Tqyd+234H3OSZDwVw5gXjstowjBRbc170rJa++25eqT30sfqV/wRR/4JkfBPW/2XIvjl +0h8GdE8Sap4vvPtegxeIdOS4Fnp6DZGyq+QDI29845Up+P3r4b/AGVP2a/B8ax+GPgD4NsQuNv2 bw3bLj/xz2rE/Yb+LPgv42fsv+EPiD8OtEXTNCn0+S20jTlP/Hva280lvEh9wkS/nXrlfZYPDYel hoKCT0Wttz+PeLOIc9zPP8VPE1JwfPJcnM7Rs7KNk7aJJee5U0rRNJ0OIW2j6XbWkX/PO2hVF/IA Vboort2Pkm23dhRRRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigBJBlcZI9xX4zftgfGyb/gp3/wAHC3gb/gmF4uvHu/g1 8K2n1Txj4aVz9m1/U7fTmvCLlQcSxpK1vDsbgfvu7c/sxJ93/wCtX4N/sS6BqXww/wCDvn4qeH/F ySQ3GtyeIrvTfOH+tiubGO9i2nAyPJz06bcdjQB+vf7VH7B/7On7VH7Nus/s1eM/hZoUGj3umPBo 72WmRQNo9wFIhubYooMMkbbWBTHTHQkV8Mf8G737f/7Qfx7+B3xX/Y0+N2sPrnxL+BN7Npej6tqL ky31ovm28Edy5yWkjnt3Rn6lSmclSW/VCT7h4rwX9p39pn9nL9iH4a/En4v3fhrTYtU8IeBpvFGu 2OkackU97EZHjt1klVQA01wGRS5yTvboGIAPz/8A+DZz4Xft9eEfi9+0H42/bm/Zs1nQNT8Ta9Dq Evjbxn4fntNU1PUGeVZYIJZlHn2aqNymPKKThSQePGv+CyHjJv2S/wDg44+APxm+C94dG1bxLbaH F4uGnp5Y1KKW+ksnSYDAl3wfIc84Ve6gj0b/AIJjfCf45/8ABfrw/wCJ/wBtn9vP9pTxxp3gZfFF xpXg34Q/D3xPPpOlWyxIjPJMYiHmI8wICTuO1iWwQtfGf/BWn9lv4Jfsgf8ABcn4JfB/4FRanFpi XPha7uodX8QXGozrPJqjAkyXDu65VVO3OOc45oA/Rz/g6+8AeBdN/wCCV2r+LtP8FaRb6tP4+0Yz anBp0aXEhaR87pQu4575POK92/4ImfAL4HT/APBMP4AfECf4MeFH14/D/T7ptafw7am7M+CfM84p v3/7Wc+9eQf8HZv/ACiO1H/sftE/9GSV9Hf8ERv+USv7P/8A2TXT/wD0E0AfDf8AwVa+Gn/BR74i f8F2/gD4i8B/s06r49+EnhSaxm003Wgz3nh2zlmZ49Qub2RVMUE8aFXjaUggxRFd3Svdf+DoL4fe BvEv/BInxl4l8QaXbNqHhrVtJvPD14YR5ttcG8jiPlsOUzHJIDg8j868J/a5/b4/aZ/4KSf8FfW/ 4I5fsrfG/VvhR4F8MXF4nxG8deFZjFrOoNa24kuoYZeDCqyYt124JZmdiygLXHf8F8f+CTf7IX7G n/BMXxH8WfAOseOdR8Upr+l20WreLfiDfag1y0s4Em6OSTy3YjJ+7xjIxigD7s/4N+/jh47/AGgP +CTHwo8b/EbXLnU9VtNOuNKnv7x90syWlzJBGWYkliI0Rdx5O3nnmvh7/g9C/wCSE/A7/scNT/8A SWOvq/8A4NiBj/gjX8N/+whrH/pwmr5Q/wCD0L/khPwO/wCxw1P/ANJY6APsj/grB+3hr3/BPX/g kQfjP4Du0h8Xan4c0nQ/CErrkQXtzAimfB6mKISyAdCyKDxmsr/g3P8A2e/CHgv/AIJoeD/jfq2n Q6t41+Kct34l8X+LNSQT3+pTzXMioJZ3y7KqIoAJxkserMT8+f8AB0b4J8QeI/8AgjT8NPE+lQO9 p4f8R6DcamVBOyOTT5IVY46DfIoye7Ad6+yf+CEGvWniL/gkV8CLy0aL914JS3lWHorxzSowPvle fegD89/+C8PjPV/+CRP/AAVB+DP/AAUT/ZptF0a38c2s9h8TNA08iG115LaaLzGmjUBHkkgmxvPI eBH65Jzf+DrH/gpx8R7zSvhn/wAE9/2WPFV1ap8VtItda8TX2nztHNf2V1KiafZKyNkJKwd5F/iA jXkFxU3/AAej6xZ3Phn4CeC4I1e/udW1m4iUH5ygS2jxj0LOo+tfHX/BdX4deLf2Xv8AgpN+yx8R PirbzQ6bYfDDwM08k6sAraZOi3aZPdSBkdRkHuMgH7J/Af8A4Nyf+CZXw+/Y3sf2afHv7OOgeI9X u9BWHxH47vLRTq89+8Y825guSN9vtckoiYUAAEHnP4n/ALE37HngK+/4Kr+PP+CMX7aPiLV/Eeja dY+LfC/wfuNU1ec2fh7WpYhJZarHbBgoZ4YlfYBje44I5r+qfTby31Cxiv7OVZIZ41kikRsh1YAg g9wQetfzZ+HtOuf2jP8Ag8XvL/4ZK09voHxUlm1K4tv4I9N0/wAq6YkekkTRnn+dAHEaJ+y18eP2 T/2kvhR/wb+fE74y2GpaH4w+K9l4i+KcPg++n+yX/wBrMCQWJeRInaNba2ErKVA8y4zzsVq/pS8Q /s5fA3xN8Ibr4C6v8JPD8ng670ltNl8OLpcS2gtWTZ5axhcKAOmMY6jmvwk/bT0XU/hl/wAHdXgD xR4phjSz13xb4au7Ca5U7DC9kltuU+qyRvj/AGhX9CTY2n0xQB+J/wDwbt/tUfED9nX/AIKA/Gf/ AII2/ELxfd6r4Y8La5rVx8N31GcvJafY7zY9shJyEkt2E+wcK0chH3uf1e/bZ+JcXwl/ZE+JHxB+ 0GKTTfBt+1tIDjbM0LJGf++2WvxD/wCCcGlXvxS/4Oxvip4v8JxFrDQPEHiy51OaJcrHHGhsySR0 zNIi/U1+k3/BwF8YE+Hf7CFz4ItrrZeeM/EFppyIGwfIjY3EpHqMRIp/3658XV9jhZz7Jnv8K5c8 24lweDSvz1IJ+l05fck2fkH+y/8AtI+FPgbo3jXwj8RfhPF418P+MtJtYLvQ7jUpLSL7Ta3SXFvK zx/PhSrKQCCVdhkAmpvih+3H8dviF4dfwB4bvdO8D+Em4HhDwHZDTbFlxjEvlnzLk+pmdyf0rx6i vgFWqqHInof3hLJMrnjJYqdNSm2nrdpNJJNRbcVKyS5kk7Ja6Csd7F2JJJyxJ6mppdMvY9Li1d7c i2nuJIIpexdFRmH4B1P41BXsOl/D7+2v2CtX+I0dsSdE+KdraSS4zhLmwkOPbLQr+VRGHPc6MZio YOMHLaUox/8AAnZfjYzfgR+1v8WfgTZT+FbCay8QeE79v+Jt4J8U232zS7wdyYmP7p+4kjKODzni vTNY/aC/ZH8E/A/xnrP7NHhDxH4a8d+P7SLQdU8P6pOtzZaPpjsZrxrK5GHZZmSGLZINyqXGWGSf mSg9K0jXqRjbf16enb8jixWQ5fia/trOLbTlyuynZprnW0tUtWr9L2bT/cP/AIN2fi5beOP2LdR+ HE1wGvPBvimeAxlssLe4VZ42x2BczKPdDX37X4Wf8G/n7TUPwZ/a/n+Euu34i0r4h6abOPe/yLfx EyW59PmHmp65cCv3RjYuu4ivssnrKtgI946fdt+B/H3ixk08n42xDt7ta1SP/b3xf+TKQ6iiivUP zYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAMA9RXwv/wUd/4Jb/EL4rftT/Dv/gpb+xLrWi6N8b/hrNsksNdZotP8 VaeUaJ7S4lQMYX8mWeMSBWyspU4wpH3RRQB8s+IP2nP+ClWueEDoXgD/AIJkXOj+LbnbCmq+LPil ob6BZOcBp2ezuZLyeNckhBbIzYwdmc1Cn/BNaT4lfsa/E34AftN/FSXxX41+M+nzf8J943trFYFj uWjC20VpDk+Xa2m1BFET821mfLSOT9WUUAfiT+wX/wAE8f8Ag4h/4JQzeIvgD+y/YfCPxp4A1vWm vLfU/EetbILWZlEZulj3JPGSqIWjw4yoxk5J1v23f+DfT9tL4hfED4VftpeBfiboHxK+OOj+KV1r 4r3HiG/Ol2msPHNbyWlvYkKy29vbxwmBUIBK4fBbK1+0FFAHwl+37+wn+1z/AMFSv+Cffjj4KfHC Dwn4A8V6pd2Oo+CPDOlaxJqdrptxZ5fbd33lRGYzszKdkO2JQpHmHJrm/wDgmR8Ff+CxH7Pv7Jvg n9iz4l/DX4ceD7XwZKLIfEoeLjq1xJpSXBkEUOmxwqhnKExrJJOFVdrGMkba/RGigD8a/wBt7/gi N/wUN+Dv/BUG4/4Kkf8ABKvxZ4bvdY1nVZtU1Twx4l1BbYwXdxCYbxMy/u54Jt8jlSysjOdvKqa9 K+MX/BMH/gpf/wAFUfgP4l0//gpr498FeFb608OXMfww+HfgZnk06x11oyseq6jNuYzMozGkasyo ssjD5sCv1KooA/PT/gjN+yx/wUr/AGLv2ePCP7HHxm+GvgLw/wCG/COu3t7qHjTTfGDanc6zayyy yi0hshboLdmeQZneU7UTiPc3y+If8F6P2Gf+CmX/AAVf8J+CvAPws/Y2tPDsfgnxHe3f9pav8StL dL+KRBGhREcMmQobDcjOK/XqigD5Y0b4S/Ej9s/9mjXP2Nv23P2Op/CHhLUPBcGlXF8fG9hqJu5U WNQ0S2pLQujIsqu3AZBXzN+wl8Af+Csv/BHvwpqX7Jvgn9mSw/aL+ElvrV1d+Bte0Dx/puhaxpEM z+Y0E8GpSRxupYs3ySEq7tglSAv6gUUAfmXN/wAEuf2l/wDgpB/wUO8Mft2f8FJvh/pPgnwZ8N7C KH4e/Byz8QQ6vcSTpMZvtF/cwDyBmTa7RxFw3lxqW2qd3Bf8HQukfAP9qTwj4D/YJ8L/AAc1/wCI X7SPiCefUvhTpXhSSKKbSYBt+1T3c037tLWRIiChI3GDduTZur9ca/AT/gtT+198bv8AgkV/wcCe Hv8AgoC3wj/4Srwt4h+F0ekWVld3LW8V7bhWjuYYZ9jiGaOQRSfdbhxkYbNAHrv7MN5/wdj/AAi/ ZG0v9lD/AIZI+Hpv9P0saTonxI8S+PtLlv8AR7YLsiaSO3vJEneJMBW2OcKNyua+mv8Agib/AMEO fDn/AATGttc+Ofxi8cR+Ovjb44SRvFPivyj5NnHK4mltrYv8zb5RvklbDSMBwoGD8L3P/B8J4dFq 66f/AME37xZdvyNN8VUZQfcDTRkfjX0T/wAE8f8Ag7V/ZC/bM+MekfAX4xfBzWPhRrviG9Sy0K/v tai1LTLm5dlSOF51jieFnY7RujK5xlhmnawHvH/BZz/gj/P/AMFEbDwr8c/gN40g8HfG74aXMdz4 J8S3AIt7lUnWYW1wVBICuN6PhtjFvlIY1Po37VX/AAWwm+HE3gXX/wDglLpUXjsWTWkHja1+Muin w49ztwt60Bk+2rEGO4wiJmONuQOR9xRsXXJFOpAfDv8AwRp/4JCwf8E3/C/ib4p/Fvxhb+LfjL8S bx73x34lt4yIIvMlaZrSDdgsnmsXeQgF3wcAKAPkH/g5A+Oi+K/2h/CfwG0y9zbeE9Ca+1CNWP8A x93T8Bh/sxRoQf8ApoRX7K65rNj4f0u41rU7hYba0t3nuZX6RxopZmPsACa/mV/bI+Ot5+0v+1D4 4+N1zMzRa94huJtPVjnyrRW2W6D6RKg98Zrws+r+zwqpreT/AAWv+R+2eBuSPH8T1MfJe7h4Oz/v z91f+S8x5pRRRXyB/XAV9u/sv/DmHx7/AMEV/wBoC7gsw93ovjnStTgkx0EAtw/5RSTfnXxFX6yf 8EZfhhJ8T/8AglT8c/AZjVzr+qapDbp1y/8AZUAQH/gYFehltP2tdw7xl+R8F4jZh/ZeRUsVf4K9 B/JVIt/gj8m6KvnRLYHjxFYY9d7/APxFH9i23/QxWH/fUn/xFefZn3PtYf0mJ4X8Ta54K8S6f4w8 L6lJZalpV7Fd2F3C2HhmjYOjg+oYA1/SX+wX+1p4W/bK/Zm8P/GfRZ40vp4fs3iCwQnNlfx/LLGR 2BPzr6q61/NVdQJbTGFLqKcAffiJ2/qBX1V/wSY/4KF337C3xzNp4tuZZPAXil4rfxPbKu77Ky5E V4g9Y9x3AfeQnuFr1cpxqwmItJ+7Lf8ARn5d4rcGS4syJV8LG+Io3lH+9F25oersnHzSXVn9CVFU PDfiXRPF2i2fiTw1qlvfaff26z2V7ayh45o2UMrKw4IIIOav19unc/jGScZNPdBRRRQIKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/Fn/grF+0V45/4Kx/8ABTmw/wCCDHwV 8P8Ahew8MaQPtvxO8f65oEOo3lj5dql1L/Z5kBFs6I8cO9QHaWUKWVFbd+01fhx/wU6/Zs/a3/4J U/8ABYyL/gtn+zP8GtT+JHw+8TwlPiP4f0ON5LjTw9pHa3IdY1ZkjcRpcJNhlWRGD7VxkA+vPhV/ wa+/8Eb/AIb+E4fD2ofs03Pii5SAR3Gs+JvEl3NdTtjlz5TxxoTjOERQM8AV+Y3/AAcif8EG/wBm b/gnv8HPD37a/wCxMuq+HbL/AITC20jX/ClzqT3MMMsySyQXVq0mZEw8OxkLMPnQqBhq/Q7wz/wd of8ABJPVvCkWr6zrPxE0jVDFul8O3XgK5kuVfGSgeItExzwDvA9cV5V4vg/ad/4OPP2gfh/Bqv7P Hij4X/sifD7xJB4kvrnxxafZdT8dXsORDGkGflgaORlyMqqySnzCxRQAfqr+zZq/iLX/ANnnwJrn i8yHVr3wdpk+pmViXNw9pG0hYnvuJzXbEhRkniorK3gs7WO0tYUjiiQJHGihVVQMAADoABT5mCxl iR+NAHx7/wAFu/2n4v2eP2IdZ0XR9UEOuePGPh7TljbEiwzIxuZBz0EIZcjoZFr8AzwcV9p/8Fz/ ANrFf2if2w7r4f8AhrVfO8O/DyJtJtgjZSW93Zu5B2zuAiz/ANMveviz6DHsK+GzfE/WMY7bR0X6 n9seE/Dj4e4SpurG1Sv+8l3V/hXyjbTu2FFFFeYfpgV+4P8AwbraUtr+wxql6Yk/0zxveMcHrtig Xn8q/D6v3o/4IGaK2k/8E6dEunX/AI//ABHqdwD7eds7f7lezkSvjvk/0Pxzxyq8nBKj/NVgvwk/ 0PxG/aA8BH4V/HTxj8NRCyJoXia+solbskc7qv8A46BXIV9V/wDBYvwJoPw2/wCCi/xF0+XR7zbq d5bapFJDeJGsgubWKVyAYjj94zjqfu18x/avDXfS9Q/8GSf/ABmvLxFN0q8odm1+J+k5DmDzLI8L i+Vv2lOEunWKfcz8jPT9KDtPUfpX6o/8EdP+CRPwl+MXwxuP2iv2q/hu+qaX4ghEfhDw/f3ksYEC kbr1mhMbHeQQg6bQW53A19qf8Oav+CZ//Rqulf8Ag41D/wCSK9KhkuLr0lUTSv3v/kfnmd+M/C+S ZpVwMqdSpKm7NwUHG/VJuavZ6Ppc/N//AIJC/wDBXm7/AGXru2/Z1/aH1W4ufAN1Pt0fWJGLvoEj HkHJ5tSSSQOUOSAQTX7XeHNf0XxTolt4j8Oaxb6hYXsKz2d7aTrJFPEygq6OpIZSCCCOtfN7/wDB Gn/gmkR+7/ZY0pTng/2vqH/yRXt3wQ+Avwt/Zz8Dp8Nvg74dk0nQ4p2lt9ObUbi5SAsBkR+fI5Re M7FIXJJxkkn6PLsPjcLT9nWaaW29/TbY/nvj3O+EOI8b9fyqjUpVpP31JQ5Jf3lyzbUu+lpb6Pfs KKKK9I/PAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApBGi9FApaKAMY/D n4fNq/8AwkB8C6N9v8zzPt39mRedv/vb9u7Pvmtjav8AdFLRQAAAcCvnr/gph+1/ZfsZ/sn+IfiV b3iLr97EdN8KwE8yX8oIVvpGu6Q+yY719C18A/8ABRv/AIJn/tRf8FGPj5ZTap8V9A8I/Dvwzb+T oVs8ct5dzSyBTcXDRKEQEkBBmTIVB/eIrkxsq8cO1RV5PRf5n0vCOGybEZ9Slm1VU8PB8073fMlt FJJtuTsnZbXfQ/EK+vr3Vb+fVNSuHmuLmZpZ5pGyzux3MxPckkmom+Xlhj61+23wg/4NzP2PvCPl XfxY8b+KfGE6EGSD7Wthbt6giH95j6SA19S/CH/gnv8AsYfAkRSfDH9nTwvZXEIGy9uNNW6uAR38 2fe+ffOa+ZpZDjJ6zaj+L/r5n9I5n468K4NOODpVKzW2ihH75a/+Sn89Pwm/ZF/ad+Oksa/CT4Ee KNcSUjZc2ekSeTj181gEx15Jrh/EvhzXfB3iG98KeKdKmsNS067ktr6yuU2yQTIxV0YdiCCK/qsi sYYUEcMaIq/dVEwBX5O/8HAX/BPs210P23fhVoRKyFLbx5a20f3TgLFfYA78RufXYf7xq8bkv1bD e0hLma39Dl4P8Z48QcQxwGMoRowqaQak37/RSbS+JbWW9lrfT8p29A2M+tf0P/8ABGvw2PDv/BNb 4YRNH813pt3dt7iW+ndT/wB8Fa/nhPXBHfnnFf0z/sIeEn8CfsWfC3wlNHtksvAemJKPVzbozH8W JP40cPRvipvsvzf/AACfH3EKPD+FofzVb/8AgMGv/bj8qf8Ag5C8ALoP7WHhT4hRw7U17wasMknY vbzyDH12yL+leE/8Er/2DdX/AG5P2i7XSNatpYvBXhxo7/xbehSBJEHG20U/35cFcj7qh26gV+gv /Bwp+zz4v+Nvhr4On4daBNqOuT+M59CsraBCWka8iV1yR0UG2JyeACSeM19XfsAfsZeE/wBiT9nH SPhFoXkzao+LzxNqaR4N9fuo8x/XauAig9FUdya6XlrxGbTlJe4rN+d1t/n5HgUvEX+wvCnB0sPL /apqdOPeKjJpz+UbKPm79Gey6DoeleGtJtfD2habFaWVjbJb2dtAm1IYkUKqKB0AAAA9qu0UV9Kf zq25Nt7sKKKKBBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABTfKjznYOOlOooAAAOlFFFABWX4z8G+GfH/AIT1PwT4w0eG/wBL1exltNRs7hNyTwyKVdGB 6ggmtSkYEqQO4pNJqxUZShJSi7Nar1P51f25f+CfvjD9k39su1+A1lZz3eieKNYhbwRqDIWF1az3 HlpExAwZY2Oxh9DjDDP9DnhXRLXw14Y07w5Y/wCp0+xitof92NAo/QVwvx5/ZY+FP7RGq+D9f8f6 MsmoeB/FFtrmg3sajzIp4jnYSQcxscZX1VT1Ar0eNCiBDjj0FedgcBHBVajjtK1j77jLjivxflmA pV1+9oxmpvpKT5UpL1UbvzuV73RdI1Ka2uNR0yCeSzm820eaIMYZNpXehP3W2swyOcMR3qyFCjAF LRXpHwDbYUUUUCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/2Q== ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/header.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="utf-8"





www.cienciadigital.org

                        Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â =                                      Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  ISSN: 2602-8085<= /p>

                           =                            =                       Vol. 5, N°2, p. 149-164, Abril-Junio, 20 21

Deporte y RecreaciĂłn                                   Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â                  =                                      Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  Página 17

 

------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/image013.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEBLAEsAAD/4RBCRXhpZgAATU0AKgAAAAgABwESAAMAAAABAAEAAAEaAAUA AAABAAAAYgEbAAUAAAABAAAAagEoAAMAAAABAAIAAAExAAIAAAAeAAAAcgEyAAIAAAAUAAAAkIdp AAQAAAABAAAApAAAANAALcbAAAAnEAAtxsAAACcQQWRvYmUgUGhvdG9zaG9wIENTNiAoV2luZG93 cykAMjAxODowMjoyOCAxNjoyMjo0MAAAA6ABAAMAAAAB//8AAKACAAQAAAABAAADO6ADAAQAAAAB AAADOwAAAAAAAAAGAQMAAwAAAAEABgAAARoABQAAAAEAAAEeARsABQAAAAEAAAEmASgAAwAAAAEA AgAAAgEABAAAAAEAAAEuAgIABAAAAAEAAA8LAAAAAAAAAEgAAAABAAAASAAAAAH/2P/bAEMACAYG BwYFCAcHBwkJCAoMFA0MCwsMGRITDxQdGh8eHRocHCAkLicgIiwjHBwoNyksMDE0NDQfJzk9ODI8 LjM0Mv/bAEMBCQkJDAsMGA0NGDIhHCEyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy MjIyMjIyMjIyMjIyMjIyMv/AABEIAEYAoAMBIQACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAA AQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgj QrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpz dHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX 2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/ xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEK FiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SF hoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo 6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/APf6KACigAooAKKACigAooAKKACigAooAKKACigAooA5 jxJ43sPDt3DatG1zOzAypGwBiQ9z7+i8fUcZ6CzvLfULOK7tJllglXcjr0P+B9u1bToyjBTfUzjU UpOK6E9FYmh414m8Q694j8ZyaHo9zPBFHK1vHFFJ5e8rnezEHkcH8AOM5zY/4Vv4x/6Dlv8A+Bc3 /wATTA6bV4dUi8U6KkXiKytIESBZrOS6KSTkOd21cfNuHA9SK6281Kx05Va+vbe1VzhTPKqbvpk8 0gIrbXNJvXdLXU7OdkQu4inViqjqTg8DnrUH/CUeH/8AoOab/wCBSf40AaFrd219AJ7S4iuIWJAk icOpx7iqlxr+jWk7QXOrWEMyHDRyXKKy/UE8UAYXiy9bUtBhl0PxHp9li5CtctdhEb5TlNwzzyDj 2rXttUs9M0bTRqmrWYle3T9+9woWchRuZScbgc5z7igCa31/RrudYLbVrGaZzhY47hGZvoAcmtGg AooA4fxV8QotHuXsNNjjubtOJJHP7uM5+7x949c8jHvyByNv478WRRi+eUz2qvsJktVEZbH3Sygc 98Zr1KGDh7O9TdnFUry5rQ6EWtWFvr1tP4i0dWzkvf2Zbc8DHkuPVDyfb6ZCweE/Flz4avNrbpbC Vv30OeR/tL6N/PoexHRye1pOnLdaf5My5uSamtme12d5b6hZxXdpMssEq7kdeh/wPt2qevEaadme indXR4h8NAlp4+Nvexlbny5Y0V15WQcn6HAevb6GM8r8b/8AJWPDn/bt/wCj2rmtd1Kyv/iJfT+I PtUllbTvCIbbklYztC/Mw2g4JOO5OMZyGB1nhm+8IXMupp4f0q8tLsafKXeZiQU4yPvtznb27Vif D7whpXiXTr6XUBN5kUgRGjk24BFICr4N1i40fwt4omhZ8rDF5eHxsd2KBh7jcD77RWp4C8B6Xr2h tqOpGZ2aVkRI5MKFGOTxnOc9+mKALfxC0Kx8PeCLWzsFdYW1ESEO245MbD+gqxq9/wCFLfwx4aj8 Q2k15MLCNoooGIZFKLljhl4JUDn0+tAHC+IrzwxMLaXw3aX1jPG2XEpyCOxB3sQQf5+1e8aPdvf6 JYXkoAkuLaOVgOmWUE/zoYF2ud8bazJonhmaaElbiZhBEw/hLZyevBADYPrirox5qiiRUlyxbOD+ H3hWHWZ5NRvk32du+1IyRiSTrz7AEcd8j3FetfZ4fs32byY/I2eX5W0bduMYx0xjjFdGNquVXl6I yw8EoX7nmGt+F9T8La3FqvhxZHgdwojQFihJ+4w7qex/rgmv4y8GvY2a63awJBGwU3dojZEDnH3D 3XJxjt246dVPERcoS6vRmMqLSkui1RQ8DeJn0PVltp5T/Z9ywWRSRtjY8B+env7euBXtVc2Op8tT mXU1w0rwt2PKfF3w91dvEEur+H9r+dKJfLSby5IpDkswLEDGeeDkFsAYFKB8WAMc/na1x6HSaPiD w3reo+OPD+qR2nmQWyW/2mXzEG1lkLNxnJ4PYVX1zwl4h0vxi3iDwwkconbfJCXC4J++GDEBlY88 HIJ7YBoA3NLufGV/9tt9c0q0trd7SQRNC4JaQ4AH324wT27dag+G2ganoGn30Wp23kPLKrIPMVsj H+yTQBj+C/BGpW1nrdlrVmLeK+gWJGLpJg/NyACeQSCPcVT0nRPiF4WE1nplvbzWzPvyHjKMxABI 3EN2A59KANDX9I8XeI/BsNvfWCNqSX+/y0kjUeUEIBzux1Prmodd8H+IGfw1qWm20c11p9nbxSQM 6jZJH82SSwBGTjg9vegCDxHYfEDxPYR2d7odokccolBhmQHIBHeQ8c16TodvLZ+H9NtZ02TQ2sUc i5BwwUAjI460AX65LxiLDXbaXw/FdRnV0UXEEJbGWA+7npkqTwT3z0rWhdTUl01+RnUs42fU5/4c a9Bp7TaBfK1vcPOWjMnGXwFMZB6NxxnryOuM+m1pi4ONVvvqTQleFuwVleJ5Y4fC2qtI6optJFBY 45KkAfiSB+NYU9Zo0l8LPn+vofRZpbnQdOnmYtLLaxu7HuxUE/rXo5gvdizkwm7MnxL4107wtcQQ 3sF1I0yF1MCqQADjnLCsT/hb2gf8+ep/9+4//i68yx2nVaF4h03xHZG506beFwJI2GHjJGcEf1GR wcE0aL4k0nxD5/8AZd15/kbfM/dsm3dnH3gPQ0gNWorq5hs7Sa6uH2QwxtJI2CcKBknA56CgCnpG uadrtm93ptx58KOY2bYy4YAHGGA7EVQ8M+L7DxX9q+ww3Mf2bZv89VGd2cYwT/dNAHQUUAYGneLr DU/Ed3ocMNytzahy7uqhDtYA4IOep9K36AGSo0kTokjRsykB1AJU+oyCM/UV4R4h0bU/Dusn7VJI 7u5lhuwT+9Oc7s9Q2evcH6gn0MBOKk4vqcuKi7KS6GrmHxxbYPlw+I4k4PCrfKB0PYOB/nH3fU9B t9QtdFtodUuBcXaLh3HX2BP8RHTPf9aWLajFU3utvT+vyChdvnXX8zSJAGScCvI/H/i1dVn/ALM0 +YtZRHMrqflmcenqo/InnsDUYKnz1L9EXiJ8sLdzmdA0ebXdZt7GJW2u2ZXUfcQfeb/Pcgd6+gVA VQqgAAYAHatMwleSj2M8LHRs8i+MX/IV0z/rg3/oVegX3gzw9fWUts2k2kIkXHmQQrG6HsQwHX9P XIrgOs8z+F9xLpvjWfTpWYedE8TIG+XehzkjvgBh+JrofAniq3k03XL+603TdPhso43b7DAIjJnf wcnk8YA9T70AUV+JHirU5JJtH8PLLaBtoxBLMVOBkFlIGe/TvVvQ/Heq63a69FqNjYgWenyzeV5T YZlH3XBY5HYjiiwDdF8S6xJ4IkvtE0LTxc/2iYXt7S2YJs8sEuVDdc4Gc+lcp4D1XX9Nmu10TTkv ElaIXBaJn8sDdjoRjOW6+lAHfeIfEXjKx125ttK0OO5sU2+XM0EjFsqCeQwHUkdO1VNB+IWpt4hi 0jxHpiWUlwwSJlidCrHIGVYnIJwARjH8iwFPwl/yV7Xv92f/ANGLXqVDAKoaxo9nrmnPZXse6NuV YfeRuzKex/z0pxk4yUl0FJKSszxLXtBvvC+qiKVmxnfb3KZAcA9R6EcZHb6YJ6PS/ihqFpbeVf2a XrKMLKJPLY9fvcEHt0A6d69mpSjiaaktDz4zlRk0ZHiDxvquvo0DMttZk58mLPzDtubq36D2rBs7 O41C8itLSFpZ5W2oi9T/AID37VrTpxowsiJzlUlc9r8JeFIPDVkSxWW+lA86YdB/sr/sj8z1PYDo 68OrUdSbkz0acOSKieQ/GL/kK6Z/1wb/ANCrr7n4meF4baSSG/aeRVJWJYJAXPpkqAPxqCzh/hVZ y3/iy61KUM4t4mZpMj/WOcDP1G/8qzfDVvLc+BfF8cKF2CWshGf4VdmY/gATTA7T4beJNEtvCyWN xeW1ncwSMZRO6x+ZuJIYE9eMD1G36Vy/hp1kuvGjowZG066KspyCMnkUgOt+Ef8AyKN5/wBfr/8A ouOsH4S6lYae2rLe3ttbGXyBGJpVTfjfnGTz1H50ARahrOq69461CwfxL/YlnaySRqxnMS4RtvGC NzE88npn0xWdPbG1+IOgofEA1zM9uftIk37f3v3M7m6dev8AFTA6Lwl/yV7Xv92f/wBGLXqVJgFF ICjq+kWet6fJZXse+NuQRwyN2ZT2I/8ArdK831H4WX8c7nTryCaDqqzEo456cAg8Y54+grswuK9l 7stjnrUefVbkdn8LNWlkX7XeWtvGc7imZGH4YA/WvQtC8MaZ4eiK2UJMrAh55MGRhnOM44HTgY6e tVicX7RcsNhUaHI+aW5sUVwnSYHiDwfpfiWeGbUBNuhUqvlvt4Jz6Vkp8LPDKSKzR3TgHJVpjg/l g07gdRpWkWGiWQs9Otlt4AxbapJJJ6kk8k/XsAO1Z+g+FtM8LR3bWAmxOFMnmPu+7nGP++jSA8vv NT+HN3MZRo+r27MxZhBtCkn2LkAewwKv/C7SE1H+3ZZEkSynh+yY9Q+dwDeoGP8AvoUwPSdA8P2P huxezsPM8p5TKfMbcdxAH8lFY1x8NfDU159pS2lgbdu2QykLnOehzj6Dii4FrWvAmg67eveXdvIt 0+N8sUpBbAwMjp0A7VTsvhp4fsL63vIRdebbyrKm6XI3KcjPHtRcDVsPC2m6dr91rUAm+13IYSbn yvzEE4H1FbdIAooAKKACigAooAKKACkIBBBGQeoNAGX/AMIxoH/QD0z/AMBI/wDCtKKKOCJIoY1j jRQqIgwFA6ADsKAH0UAFFABRQB//2QD/7RngUGhvdG9zaG9wIDMuMAA4QklNBCUAAAAAABAAAAAA AAAAAAAAAAAAAAAAOEJJTQQ6AAAAAAEPAAAAEAAAAAEAAAAAAAtwcmludE91dHB1dAAAAAUAAAAA UHN0U2Jvb2wBAAAAAEludGVlbnVtAAAAAEludGUAAAAASW1nIAAAAA9wcmludFNpeHRlZW5CaXRi b29sAAAAAAtwcmludGVyTmFtZVRFWFQAAAARAEwAMwA1ADUAIABTAGUAcgBpAGUAcwAoAFIAZQBk ACkAAAAAAA9wcmludFByb29mU2V0dXBPYmpjAAAAEQBBAGoAdQBzAHQAZQAgAGQAZQAgAHAAcgB1 AGUAYgBhAAAAAAAKcHJvb2ZTZXR1cAAAAAEAAAAAQmx0bmVudW0AAAAMYnVpbHRpblByb29mAAAA CXByb29mQ01ZSwA4QklNBDsAAAAAAi0AAAAQAAAAAQAAAAAAEnByaW50T3V0cHV0T3B0aW9ucwAA ABcAAAAAQ3B0bmJvb2wAAAAAAENsYnJib29sAAAAAABSZ3NNYm9vbAAAAAAAQ3JuQ2Jvb2wAAAAA AENudENib29sAAAAAABMYmxzYm9vbAAAAAAATmd0dmJvb2wAAAAAAEVtbERib29sAAAAAABJbnRy Ym9vbAAAAAAAQmNrZ09iamMAAAABAAAAAAAAUkdCQwAAAAMAAAAAUmQgIGRvdWJAb+AAAAAAAAAA AABHcm4gZG91YkBv4AAAAAAAAAAAAEJsICBkb3ViQG/gAAAAAAAAAAAAQnJkVFVudEYjUmx0AAAA AAAAAAAAAAAAQmxkIFVudEYjUmx0AAAAAAAAAAAAAAAAUnNsdFVudEYjUHhsQHLAAAAAAAAAAAAK dmVjdG9yRGF0YWJvb2wBAAAAAFBnUHNlbnVtAAAAAFBnUHMAAAAAUGdQQwAAAABMZWZ0VW50RiNS bHQAAAAAAAAAAAAAAABUb3AgVW50RiNSbHQAAAAAAAAAAAAAAABTY2wgVW50RiNQcmNAWQAAAAAA AAAAABBjcm9wV2hlblByaW50aW5nYm9vbAAAAAAOY3JvcFJlY3RCb3R0b21sb25nAAAAAAAAAAxj cm9wUmVjdExlZnRsb25nAAAAAAAAAA1jcm9wUmVjdFJpZ2h0bG9uZwAAAAAAAAALY3JvcFJlY3RU b3Bsb25nAAAAAAA4QklNA+0AAAAAABABLAAAAAEAAgEsAAAAAQACOEJJTQQmAAAAAAAOAAAAAAAA AAAAAD+AAAA4QklNBA0AAAAAAAQAAAB4OEJJTQQZAAAAAAAEAAAAHjhCSU0D8wAAAAAACQAAAAAA AAAAAQA4QklNJxAAAAAAAAoAAQAAAAAAAAACOEJJTQP1AAAAAABIAC9mZgABAGxmZgAGAAAAAAAB AC9mZgABAKGZmgAGAAAAAAABADIAAAABAFoAAAAGAAAAAAABADUAAAABAC0AAAAGAAAAAAABOEJJ TQP4AAAAAABwAAD/////////////////////////////A+gAAAAA//////////////////////// /////wPoAAAAAP////////////////////////////8D6AAAAAD///////////////////////// ////A+gAADhCSU0EAAAAAAAAAgABOEJJTQQCAAAAAAAEAAAAADhCSU0EMAAAAAAAAgEBOEJJTQQt AAAAAAACAAA4QklNBAgAAAAAABAAAAABAAACQAAAAkAAAAAAOEJJTQQeAAAAAAAEAAAAADhCSU0E GgAAAAADTQAAAAYAAAAAAAAAAAAAAzsAAAM7AAAADABTAGkAbgAgAHQA7QB0AHUAbABvAC0AMQAA AAEAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAADOwAAAzsAAAAAAAAAAAAAAAAAAAAAAQAA AAAAAAAAAAAAAAAAAAAAAAAQAAAAAQAAAAAAAG51bGwAAAACAAAABmJvdW5kc09iamMAAAABAAAA AAAAUmN0MQAAAAQAAAAAVG9wIGxvbmcAAAAAAAAAAExlZnRsb25nAAAAAAAAAABCdG9tbG9uZwAA AzsAAAAAUmdodGxvbmcAAAM7AAAABnNsaWNlc1ZsTHMAAAABT2JqYwAAAAEAAAAAAAVzbGljZQAA ABIAAAAHc2xpY2VJRGxvbmcAAAAAAAAAB2dyb3VwSURsb25nAAAAAAAAAAZvcmlnaW5lbnVtAAAA DEVTbGljZU9yaWdpbgAAAA1hdXRvR2VuZXJhdGVkAAAAAFR5cGVlbnVtAAAACkVTbGljZVR5cGUA AAAASW1nIAAAAAZib3VuZHNPYmpjAAAAAQAAAAAAAFJjdDEAAAAEAAAAAFRvcCBsb25nAAAAAAAA AABMZWZ0bG9uZwAAAAAAAAAAQnRvbWxvbmcAAAM7AAAAAFJnaHRsb25nAAADOwAAAAN1cmxURVhU AAAAAQAAAAAAAG51bGxURVhUAAAAAQAAAAAAAE1zZ2VURVhUAAAAAQAAAAAABmFsdFRhZ1RFWFQA AAABAAAAAAAOY2VsbFRleHRJc0hUTUxib29sAQAAAAhjZWxsVGV4dFRFWFQAAAABAAAAAAAJaG9y ekFsaWduZW51bQAAAA9FU2xpY2VIb3J6QWxpZ24AAAAHZGVmYXVsdAAAAAl2ZXJ0QWxpZ25lbnVt AAAAD0VTbGljZVZlcnRBbGlnbgAAAAdkZWZhdWx0AAAAC2JnQ29sb3JUeXBlZW51bQAAABFFU2xp Y2VCR0NvbG9yVHlwZQAAAABOb25lAAAACXRvcE91dHNldGxvbmcAAAAAAAAACmxlZnRPdXRzZXRs b25nAAAAAAAAAAxib3R0b21PdXRzZXRsb25nAAAAAAAAAAtyaWdodE91dHNldGxvbmcAAAAAADhC SU0EKAAAAAAADAAAAAI/8AAAAAAAADhCSU0EFAAAAAAABAAAAAM4QklNBAwAAAAAEKIAAAABAAAA oAAAAKAAAAHgAAEsAAAAEIYAGAAB/9j/7QAMQWRvYmVfQ00AAf/uAA5BZG9iZQBkgAAAAAH/2wCE AAwICAgJCAwJCQwRCwoLERUPDAwPFRgTExUTExgRDAwMDAwMEQwMDAwMDAwMDAwMDAwMDAwMDAwM DAwMDAwMDAwBDQsLDQ4NEA4OEBQODg4UFA4ODg4UEQwMDAwMEREMDAwMDAwRDAwMDAwMDAwMDAwM DAwMDAwMDAwMDAwMDAwMDP/AABEIAKAAoAMBIgACEQEDEQH/3QAEAAr/xAE/AAABBQEBAQEBAQAA AAAAAAADAAECBAUGBwgJCgsBAAEFAQEBAQEBAAAAAAAAAAEAAgMEBQYHCAkKCxAAAQQBAwIEAgUH BggFAwwzAQACEQMEIRIxBUFRYRMicYEyBhSRobFCIyQVUsFiMzRygtFDByWSU/Dh8WNzNRaisoMm RJNUZEXCo3Q2F9JV4mXys4TD03Xj80YnlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vY3R1dnd4eX p7fH1+f3EQACAgECBAQDBAUGBwcGBTUBAAIRAyExEgRBUWFxIhMFMoGRFKGxQiPBUtHwMyRi4XKC kkNTFWNzNPElBhaisoMHJjXC0kSTVKMXZEVVNnRl4vKzhMPTdePzRpSkhbSVxNTk9KW1xdXl9VZm doaWprbG1ub2JzdHV2d3h5ent8f/2gAMAwEAAhEDEQA/APVUkkklKSSSSUpJJJJSkkkklKSSSSUp JJJJSkkkklKSSSSUpJJJJSkkkklP/9D1VJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkk lKSSSSUpJJJJT//R9VSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSU// 0vVUkkklKSWF9YPrdg9Gd9na05WbAPoMMBoP0XX2+70tzfot2vt/4Nc3T/jH6m3I/T4uO+r/AEVb nMsj+u82Nd/20p4crlnHijHTpZq2GfM4oS4TLXw1p7Dq3X+mdIdS3Ot2OvdtaAJIb+ddZ+5Qz8+x aDXNc0OaQ5rhII1BB7heX/WHHOW531hw7n5eBlOi1z/53Gs/7iZLB/N0t3foH/Q/7cqvyLf1U+tj ulubg5zi7p5MMedTQT/7rf8Anj/i1LLk/wBUJQPFMfPH/uf70WOPNfrDGY4Yn5Jft/wn0ZJM1zXt DmkOa4S1w1BB7hOqbaeA+sX1x6xb1d/S+iE1NqsNAdWxtltto0taz1WvZXXW7cz6H+Dst9T0kGyn /Gn6bthv37Tt9+FzHt7qt9Qw2z61F1/84Ksl7Z59Q2Ma/wDtbH3L05FTgZ1/1uZ1jBqwseuzpbm0 /bbnbN7XFzxlbZyKn+2r0/oUWLfXA/WpjD9f+juIBIGLB/6/kLM6/nM6x9ZcjH6pmuw+mYtj6WAB zwPS/Ru2UVNe1+Rfdv8A01rP0VX/AIIlPqKS8/6D036rUXZ13SeoW5eS3Ava6qyosb6bvT3P3Gin 89jPz1lfVP6nY3X8C292Q7GdQ8VBrWNcD+jrs3O3e7/CJUp9VSXm31W65ndN6H1toebG4FbHYjHH c1ltjrcf2bv8B6rK7fR/4z/SKPQfqbb9Y8R/VM/NsDrLHMY5wFtj9h2PssstPt/Sb2sqY1KlPY/W e/6zU41J+rtFeReXuFzbNkBux2wj1b8X/C7Pzlr0G001m4RaWj1AOA6Pd+9+cvOPrr0Knov1ZwOn NsOQxmTe8Pe0NM2V3WfRZ7fbuWt9aenfV3Jo6Xd1nPdhPZRsprraHueHCpz3en6V1m1mxvv+gkp7 RJePdQb0rpFtOb9W+pW331bnOLq3VOYWjczX06GXU2fzdtLl69TZ6tLLIje0Oj4iUFP/0/VVl/WT q56R0i7LZBvMV44PHqP9rCf5Nf8AOu/4tai5766Yf7R6U7Ex3B+dQRmVYrSDY9lZ9K3ZX9N3st9v /C7K1JhETkiJfLYtZlMhjkY/NRp5H6s/V67r2ZZfkvf9krduybp99tjveam2fvun1L7PzGf1/wBH 6B+wei/Yzg/YqfsxEbNg8I37/p+r/wALu9Vc1/i96vh/Zn9Jc4MyS991M6C1rgHP2n/S0x76/wDR f9c9PtFNzeTJ7piSYiPyAaf4TDysMftgipGXzHf/AAXzfqGB1H6n9RN9A+19Nyv0TmWDcy5hn9Sy 2w79Y9zvs92z9J/29QgfWL6t29MZX1DGrsZ07JDSKrP53He8SMbIgv8AZ+ZXbv8A+At/wdl3pzmt cIcARIMHXUHc0/2XLP8ArE2l/QeoC+PT+z2kz4hrnMI/lNf9BOx85LihY1+WZ/zg/R0/eiifKx4Z a6fNAfuHr/gyeO+pX1ksxMmvpGU4uxL3bMZx19Kw/Qq/4m53tZ/orf8Ag7P0foS8ScXemTMOAmRy CNZ/zl7Ng3uyMHHyHCHXVMscPNzQ7+KPP4hGQmNOO+L+93W8llMomB14aryfPOudC630Trz+qdLp sspfa7IotpYbdhs3G/HvoYHP9P32fmen6L/5z1UWz67/AF1bW5zemMLg0kD7Hlcgf8auy6p9Y+jd Iuro6hkejZa0vY307Hy0HaTNNdjfpKn/AM+vqr/3NP8A2zd/6RVNuOH9Yacu7669GvGPa5gZimyx lbyxp9a5z99ga5le2fz3Kn1zo2f0n6xXdRHTR1bp2U91vpms2t/SQ66uxrGWvx7mXe+m/wBL0/Tf /wAYvQMTNxM3HblYlzL8d+rbWODm6fS1H7v5yjhdS6d1AOdgZVOWGRvNFjbA3dq3d6bnbdyVqeP6 NnU5FuZTR9Wx0l7sK8/aWMcC6NkY/wDRcfd6m/f/ADn+CVj/ABZ4+RR0vLbkU2UON7SG2sdWSPSp EhtrWLsVC22qmp91z211VtL7LHkNa1rRue97ne1rWtQU+dfVbomVnY31gwLqrMY5VTG02XVvY3eL Ml9bve1u9rbPT37Eujda+s31bof02zpFt7Gvc9oLbPaXGbG130VZFN9Tn+9m3/zj0DH6jgZVD8nF yKsiiuQ+yl4saC0bnN3VF/ua381A6R13pfWqn29Nu9dlRDXnY9kFw3t/nmV/mlFTxP1ty+p9c+re DlP6fdTeci9rsdldljmhrLq2Pc30mWfpP+LT/Wvp2ezqvTupnBs6hhtxqGWUhjnCai91mPe2ttj6 2Wes33Pr2L0RJK1PkvXbHdQxmswvq4/pjq97nuopsJsBaWit2zFo+i73r1TEBGJSCIIrbIOh4CqY vX+k5nUrul49+/Nx95tq2PEemW12fpHsbU7a+xn0XrRQU//U9St9X0n+jtFu0+mXyW7o9u/b7tu5 eTdRt61idafkZtj6urVPD/WHzDHUfmOxXN9jK/5v0/0Vv+FXriyfrD9XsXreLss/RZNcnHyAJLSf zXfv0v8A8JX/AOjFY5XNHHIiQBjLQnt/6CwczhlkiOEkSjqHh76a+vVv6p0xn2frWPF2dg0kg2Fp /wCUem/n+tu/nav5zf8A8Psfm9/0OzqlnS6H9WY1mYW+8N0JH5jrGfRruc3+drZ7N68sup6j0fqO x+7FzsV25j2/c2ypxG22m1v/AG5/NW/n1rr8D/GNQKA3qWLYL26F+MGuY7+VstsrfV/U/S/8YrPM 4ZyhEYwJw3j+/Efug/pQa/L5oRlL3CYT2l+5L+tX772a4T69fWOvIJ6LhvDmMcDm2DUFzTubitP8 h/vyP+2f9MqvW/r1nZzHY/T2Owsd2jrSZvcPBpZ7Mf8AsOss/wCErXMNaZaytpcXENYxokknRrGM b7nPclyvKGJE8m4+WP8A3UlczzYkDDHrekpfsinwsG3qObRgU/zmS8Vz4N5ts/61UHvXsbGNrY2t g2sYA1o8ANAud+p/1YPSaTmZgB6he3aWCCKq/peiHD6VjvpXv/62z+b9SzpFBzmcZJgR1jDr3l1Z uUwnHAmXzT6dg+df4zSW9TwyORjP/wCratzJ/wAXfQX0Pbjetj3EH07fVe8B35u6u1zmPZ++sL/G dr1LEj/uM/8A6tq7TJ+sfQsWh99mdQ5tYJ2ssa95/kV1scXve79xVmy8T/i7zLqOrZXT3yK8il77 KgdBdQ5tTi3+tW9zHu/4Kpaf1BzuiV4PUcnExX9Ox6G1WZDrrzeNoY9+6XfQ9NjVj/UKq3J+sN2U 5sCvHuts7gOve3Yyf+3v+21S6Jv/AOZvXdvhh7v6u9vq/wDge5JT0l3+M/EFpbjdPttrH0XPe1ji P3vSAtcz+2rGN9bqOu9M6xXfgvrpxcJ9lrBaJsY5lofU17Gt9J22v+cR/wDF4cP/AJvgU7ftItt+ 1gfS3l7vS9T/ANBvR9P+QuY+r39H+tf/AITv/LmJKdLpnXsDpn1VtyOn9NubTfmPx3UG42uDnVB7 sj1XNf8Ao9rGt2LK+p31iPRGnDGI/L+13UtNrDAZIZj+72P/AOMW/wDUEx9V84jn17v/AD1Ug/4r HD9n5rZ1FlR2+RqaN3/RSU3es/Xl/S+qZHTx023IGOWD1muIa7exl3t/RP8Ao+ps+kidC+vWH1bP b0+7Gswr7JFO8hzXOaN7qnGGPqt2De3fWszJ+sf1r6n1/L6Z0L0amYjrGhtgbJFThRbbZZZv+lcf 0dddf0Fl2V9Zr+ufTP236ZznWUOLqYDTXutZWXbGs/SbmWsSU6P1Z/8Ayg9W/q5X/n7GXergvqz/ APlB6t/Vyv8Az9jLvUCp/9X1VJJJJTl9e+r+F1vGFd8131yaMhv02E/9XU7/AAlTv/Pn6RcHnfUz 6w4jyGY4y6x9G2hw1HnTY5lrXf8Abn/GL1BJT4eayYhQox/dkw5eWx5DZ0l3D5bifU76x5TgBifZ 2nmzIc1oH9hhtu/8DXafV/6o4PR3DJe77VnQR67hDWA/Sbj1+70/b7d/87/Y/RreSRy83lyDh0jH tHqjFyuPGbFyPeSkkklXZ3nvrJ9Ua+vZVOS7LfjGis1hrWNcDuO/d71kt/xYYwM/tGzziqsFdukl anN6L0Dp/RcR+NhBxNp3XX2HdY90bQXuAa32N+hWxrK1n9A+qeJ0DBzaL8g5mNlMAvFrGtbsYx7L A4M+k17H+5dEo2VstrdVYJY8Frh4giCkp8yv6H9RLH+pj9e2VES1jg20gchrbHMbY5v7u/1LFY+o nT/t7OuYwc5lF+O3FF0aj1PtAa7Z9H1G1PZa6v8AlrqR9Rfqq1oaMEAAQP0tvA/66tXA6fg9Oxxi 4NLMekEnYwRJP0nu/Oe9377kbU0vq70CvoeBZhC45LbLXWlz2hv0msZs2t/4tYTP8WmFTl134+dd XXTYyyuota4gMc21tPq+xzme3Z7l2aSCnlOr/wCL7B6hn251OVbiPvdvtraGubvP07K52vZ6n+E9 6H0//F5VhZ+NmjqFtpxrG2hjmN92383dO5deklanB6b9VWYH1gyutjKfY7LFoNBa0Nb6r67dHj3e z0VvJJJKf//W9VSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSU//1/VU kkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklP/9D1VJJJJSkkkklKSSSS UpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJT//ZOEJJTQQhAAAAAABVAAAAAQEAAAAPAEEA ZABvAGIAZQAgAFAAaABvAHQAbwBzAGgAbwBwAAAAEwBBAGQAbwBiAGUAIABQAGgAbwB0AG8AcwBo AG8AcAAgAEMAUwA2AAAAAQA4QklNBAYAAAAAAAcACAEBAAEBAP/hDdVodHRwOi8vbnMuYWRvYmUu Y29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5U Y3prYzlkIj8+DQo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJB ZG9iZSBYTVAgQ29yZSA1LjMtYzAxMSA2Ni4xNDU2NjEsIDIwMTIvMDIvMDYtMTQ6NTY6MjcgICAg ICAgICI+DQoJPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIy LXJkZi1zeW50YXgtbnMjIj4NCgkJPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6 eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczp4bXBNTT0iaHR0cDovL25z LmFkb2JlLmNvbS94YXAvMS4wL21tLyIgeG1sbnM6c3RFdnQ9Imh0dHA6Ly9ucy5hZG9iZS5jb20v eGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50IyIgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9k Yy9lbGVtZW50cy8xLjEvIiB4bWxuczpwaG90b3Nob3A9Imh0dHA6Ly9ucy5hZG9iZS5jb20vcGhv dG9zaG9wLzEuMC8iIHhtcDpDcmVhdG9yVG9vbD0iQWRvYmUgUGhvdG9zaG9wIENTNiAoV2luZG93 cykiIHhtcDpDcmVhdGVEYXRlPSIyMDE4LTAyLTI4VDE2OjIyOjM5LTA1OjAwIiB4bXA6TWV0YWRh dGFEYXRlPSIyMDE4LTAyLTI4VDE2OjIyOjQwLTA1OjAwIiB4bXA6TW9kaWZ5RGF0ZT0iMjAxOC0w Mi0yOFQxNjoyMjo0MC0wNTowMCIgeG1wTU06SW5zdGFuY2VJRD0ieG1wLmlpZDo2RUMxNkE4MUNE MUNFODExOThGMUJCMkE1Nzg5N0ZEMiIgeG1wTU06RG9jdW1lbnRJRD0ieG1wLmRpZDo2REMxNkE4 MUNEMUNFODExOThGMUJCMkE1Nzg5N0ZEMiIgeG1wTU06T3JpZ2luYWxEb2N1bWVudElEPSJ4bXAu ZGlkOjZEQzE2QTgxQ0QxQ0U4MTE5OEYxQkIyQTU3ODk3RkQyIiBkYzpmb3JtYXQ9ImltYWdlL2pw ZWciIHBob3Rvc2hvcDpDb2xvck1vZGU9IjMiIHBob3Rvc2hvcDpJQ0NQcm9maWxlPSJBZG9iZSBS R0IgKDE5OTgpIj4NCgkJCTx4bXBNTTpIaXN0b3J5Pg0KCQkJCTxyZGY6U2VxPg0KCQkJCQk8cmRm OmxpIHN0RXZ0OmFjdGlvbj0iY3JlYXRlZCIgc3RFdnQ6aW5zdGFuY2VJRD0ieG1wLmlpZDo2REMx NkE4MUNEMUNFODExOThGMUJCMkE1Nzg5N0ZEMiIgc3RFdnQ6d2hlbj0iMjAxOC0wMi0yOFQxNjoy MjozOS0wNTowMCIgc3RFdnQ6c29mdHdhcmVBZ2VudD0iQWRvYmUgUGhvdG9zaG9wIENTNiAoV2lu ZG93cykiLz4NCgkJCQkJPHJkZjpsaSBzdEV2dDphY3Rpb249InNhdmVkIiBzdEV2dDppbnN0YW5j ZUlEPSJ4bXAuaWlkOjZFQzE2QTgxQ0QxQ0U4MTE5OEYxQkIyQTU3ODk3RkQyIiBzdEV2dDp3aGVu PSIyMDE4LTAyLTI4VDE2OjIyOjQwLTA1OjAwIiBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBQ aG90b3Nob3AgQ1M2IChXaW5kb3dzKSIgc3RFdnQ6Y2hhbmdlZD0iLyIvPg0KCQkJCTwvcmRmOlNl cT4NCgkJCTwveG1wTU06SGlzdG9yeT4NCgkJPC9yZGY6RGVzY3JpcHRpb24+DQoJPC9yZGY6UkRG Pg0KPC94OnhtcG1ldGE+DQogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg CiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgPD94cGFja2V0IGVuZD0ndyc/Pv/iAkBJQ0NfUFJP RklMRQABAQAAAjBBREJFAhAAAG1udHJSR0IgWFlaIAfPAAYAAwAAAAAAAGFjc3BBUFBMAAAAAG5v bmUAAAAAAAAAAAAAAAAAAAAAAAD21gABAAAAANMtQURCRQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACmNwcnQAAAD8AAAAMmRlc2MAAAEwAAAAa3d0cHQAAAGc AAAAFGJrcHQAAAGwAAAAFHJUUkMAAAHEAAAADmdUUkMAAAHUAAAADmJUUkMAAAHkAAAADnJYWVoA AAH0AAAAFGdYWVoAAAIIAAAAFGJYWVoAAAIcAAAAFHRleHQAAAAAQ29weXJpZ2h0IDE5OTkgQWRv YmUgU3lzdGVtcyBJbmNvcnBvcmF0ZWQAAABkZXNjAAAAAAAAABFBZG9iZSBSR0IgKDE5OTgpAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAA81EAAQAAAAEWzFhZWiAAAAAAAAAAAAAAAAAA AAAAY3VydgAAAAAAAAABAjMAAGN1cnYAAAAAAAAAAQIzAABjdXJ2AAAAAAAAAAECMwAAWFlaIAAA AAAAAJwYAABPpQAABPxYWVogAAAAAAAANI0AAKAsAAAPlVhZWiAAAAAAAAAmMQAAEC8AAL6c/9sA QwACAQECAQECAgICAgICAgMFAwMDAwMGBAQDBQcGBwcHBgcHCAkLCQgICggHBwoNCgoLDAwMDAcJ Dg8NDA4LDAwM/9sAQwECAgIDAwMGAwMGDAgHCAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwM DAwMDAwMDAwMDAwMDAwMDAwMDAwM/8AAEQgBagM7AwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAA AAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQy gZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVm Z2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS 09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYH CAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1Lw FWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5 eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj 5OXm5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A/fyiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKM80AFFcP8bv2lfAX7N+gDUvHPivRfDds4JiF3cBZrjHURRDL yEZ6IpPtXx/8UP8Ag4c+DXhK5nt/Duj+MPFkkZIjuIrRLO1kHrmZ1lH0MdNRb2A++KK/Lm7/AODl uxilKwfB+7mXPDSeJViJ/AWzfzqL/iJeh/6IxL/4Vg/+Q6fJILn6l0V+Wn/ES9D/ANEYl/8ACsH/ AMh0f8RL0P8A0RiX/wAKwf8AyHRySC5+pdFflp/xEvQ/9EYl/wDCsH/yHR/xEvQ/9EYl/wDCsH/y HRySC5+pdFNjfzI1b+8M07PNSAUUUUAFFANFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUZoAKKKKACijNFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRnmgA oryPxz+3F8Nvhz+0DpHwz1bxDb2/ifWEyq8G3tHbHlRTSZxHJJnKKeuBnG5N3rma2rYerSUZVItK Surq113RnTrQm2oNO2j8mFFFFYmgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAGa/PX/gqV/w Wch/Z01O++H3wvks9S8bQZi1PVnUTWuhP0MaL92S4HcHKIcBgzblX0j/AILFft8yfsb/AAFXSfDt 0IfHnjQSWumujfPpsAAE13jsy7gqZx87A8hGFfhHcTSXdxJNNI8ssrF3dzuZyeSSe5NaQjfVgbHx C+I2vfFjxZda74m1jUte1i+bdNeX1w00r+gyx4A6ADgDgACsTbS0VsAYooopgFFFFABRRRQB/U7b /wDHvH/uivhj/gvz8VPFHwl/ZZ8JX3hXxJr3hm+uPFUVvLcaTqEtlNLGbS6YozRspK7lU4JxlQe1 fc9v/wAe8f8Auivz5/4OO/8Ak0TwZ/2OEX/pFd1zR3A/LT/htT4yf9Fc+J3/AIVN9/8AHaP+G1Pj J/0Vz4nf+FTff/Ha8zoro0A/ou/4Jr+KNT8a/sL/AA11XWdRvtW1S+0dJLm8vbhri4uG3N8zuxLM fcnNe5V8/wD/AASw/wCUfHwr/wCwIn/oTV9AVzS3AKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXy3/wWW8da58Nv+Cfni7WPDus6roGrW91p6xXum3c lrcRBryFWCyRkMMqSDg8gkV9SV8jf8Fyv+UbfjT/AK+9N/8AS6CqjuB+Mn/Danxk/wCiufE7/wAK m+/+O0f8NqfGT/ornxO/8Km+/wDjteZ0V0aAfvJ/wRG+IXiD4n/sN2Oq+Jtc1jxFqjavexteaney XdwyK42qXkJbA7DOBX15XxX/AMEDf+Ufun/9hq+/9GCvtSueW4BRRRUgFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRSZoAXPNf Hf8AwU1/4Ka2P7Kuiz+EfCM1vf8AxEvofmbiSLQo2HEsg6GUg5SM+zN8u1XT/gpp/wAFN7H9lbRb jwj4Qnt7/wCIl9Fh24ki0GNhxLIOjSkHKRnpwzcbVf8AHvXtdvfFOt3epald3F/qF9M09zc3Ehkl nkY5Z2Y8kknJJr9E4Q4ReJaxuNX7veMX9rzf938/Tf5PPs+9jfD4d+91fby9fy9djXdevvFGt3Wp ald3F9qF9M1xc3M8hklnkY5Z2Y8liSSSa/S//glb/wAFUv7f/s34ZfE3Uv8AiYfLbaFrty//AB9d ltrhj/y06BJD97hW+bBb8xaBwa/TM4yXD5jh/q9ZejW8X5fqup8bgMwrYSt7Wm/Vd/X/ADP6VM0V +cX/AASw/wCCq39t/wBm/DP4naj/AKb8troevXMn/Hx2S2uGP8fQJIfvcK3zYLfo4Wr8DzfKMRl2 IdDEL0fRruv60P1HAY+li6Sq0n6rqn2YtFFFeWdoUUUUAFFFFABRRRQAUUUUAFFFFABSM20f4Clr x3/goF8Y3+AX7F/xH8VQyvb3ljo0sFnKrbTFcz4ggbPtLKho3A/D3/gpp+09J+1h+2R4s8Qx3JuN E0+4Oj6IAxaMWduzKrL7SMXlx2MpFeB0YorqWgBVrQdCvvFOtWmm6ZZ3Wo6jfzLb21rbRNLNcSMc KiIoJZiSAAASSaq1+uX/AAQH/YXsfD3w+f41eIrGObWtcaW18OiVQ32K0UmOWdc9JJXDoDjIjTg4 kIolKyA8h/Zp/wCDeTxx8QtCt9W+Iniay8Ex3CCRdLtIPt98Ae0jbljjbv8AKZPQ4OcfQVj/AMG4 3wjjt1Fz4z+I8s2PmaO4so1J+ht2/nX6FUVh7SQH59/8Q5Hwb/6G/wCJn/gZY/8AyLR/xDkfBv8A 6G/4mf8AgZY//ItfoJRS55Afn3/xDkfBv/ob/iZ/4GWP/wAi0f8AEOR8G/8Aob/iZ/4GWP8A8i1+ glFHPIBEXYir/dGK8a/bc/Yg8Mft4fDfS/C/irUte0ux0nU11SKTSZYo5WkWKSIKxkjkG3ErHgA5 A57V7NXgv/BQf9uiy/YG+FWj+Kb7QbrxDDq2rLpS28E6wtGzQyy7yWBGMREY96SvfQD51/4hyPg3 /wBDf8TP/Ayx/wDkWj/iHI+Df/Q3/Ez/AMDLH/5Frjf+Ik3w7/0THWv/AAZxf/E0f8RJvh3/AKJj rX/gzi/+Jq/fC5+gn7PvwT039nL4M+H/AAPo9zfXml+G7UWlvNesjXEigk5coqqTz2UV2VcH+zJ8 cIf2kvgN4Z8dW9jJpcHiWzF4lrI4doASRtLDgniu8rMAooqprmvWPhjSbjUNSvLXT7G0jMs9xcyr FFCg6szMQFA9TQBbor5H+M3/AAW7/Z/+D95Naw+JL7xheW7FXi8PWZuk4/uzOUgcH1WQ14nr3/By P4EhuGGl/Dvxdcw5+Vrq4t4GP1Cs+PzNVysD9JKK/Mn/AIiTfDv/AETHWv8AwZxf/E0f8RJvh3/o mOtf+DOL/wCJo5GFz9NqK/Mn/iJN8O/9Ex1r/wAGcX/xNfTf/BOf/gpPpv8AwUL/AOEw/s/wxfeG /wDhEfsXmfaLlZvtH2n7RjG0DG37OevXcKOVoD6borlfjp8UI/gl8FvFnjKa1kvofCukXWrvbI21 rhYImlKAngEhcZ7Zr88/+Ik3w7/0THWv/BnF/wDE0KLewH6bUV+ZP/ESb4d/6JjrX/gzi/8AiaP+ Ik3w7/0THWv/AAZxf/E0cjC5+m1FfmT/AMRJvh3/AKJjrX/gzi/+Jo/4iTfDv/RMda/8GcX/AMTR yMLn6bUV+bHh7/g5H8Ez6gi6t8OfFVra5+d7S6gnkUeysUB/76FfVX7Ln/BTP4O/tdXUVj4X8UR2 +vSjI0bVE+x3x74RW+WUgcnymfA60crQHvtFFFSAUUUZoAKKx/HXxC0H4YeG7jWPEmtaXoOk2ozN eahcpbQRZ6ZdyAM/Xmvkf4rf8F5vgD8N7x7fT9Q8ReMZYyVY6Lpv7tW/37holYe6lh6ZpqLewH2h RX5q6t/wcleDYp2Fj8N/E00eeDPewRsR7gbv51T/AOIk3w7/ANEx1r/wZxf/ABNPkYXP02or8yf+ Ik3w7/0THWv/AAZxf/E0f8RJvh3/AKJjrX/gzi/+Jo5GFz9Nq83/AGsf2Y9D/bB+B2qeAfEV7qun 6Tq0kEss+nPGlwpilSVdpkR15ZADlTxnp1rl/wBgP9tSz/bw+C154ysdDuvD8Fnq0ulG2nmWZmaO KGTfuUAYPmgY/wBmtr9tP9qO1/Y3/Z51j4gXmlT61b6RLbRNaQyiN5POmSIEMeBguD+FLW9gPlH/ AIhyPg3/ANDf8TP/AAMsf/kWj/iHI+Df/Q3/ABM/8DLH/wCRa43/AIiTfDv/AETHWv8AwZxf/E0f 8RJvh3/omOtf+DOL/wCJq/fC59yfsf8A7JmgfsW/ByHwT4av9Y1LS4bqW7WbU5I5LgtIcsCY0Rce ny/nXqVeO/sM/tdWv7bXwJg8cWej3GhQT3k9oLWeYSuDG2CdwAHNexVmAUV8T/twf8FmdH/Yp+PF x4GvvBOpa5Pb2kN39qgvUiQiQHAwQTxivIf+Ik3w7/0THWv/AAZxf/E1XKwP02or8yf+Ik3w7/0T HWv/AAZxf/E0f8RJvh3/AKJjrX/gzi/+Jo5GFz9NqK/Mn/iJN8O/9Ex1r/wZxf8AxNW9H/4OSvBs t2o1D4b+JobfPzNb3sErgewbaD+Yo5GFz9K6K+TvgJ/wWo+Avx41KHT/APhI7rwfqVywWK38R24s 1Yn/AKbqzwLzxgyAnIxX1bb3Md5bpLDIskcihkdTlWB6EGpaa3AkooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKTNcd8Wv2hfA/wI08XPjDxVofh5GXciXl2qTTD/Yjzvf6K DWlOnOpLkpptvotWTOcYLmk7LzOyor468e/8Fxvgn4SuHj01vFXijacLJp+mCKNvxuHibH/ATXEH /g4D8B+fgeBfF3lZ+8Z7fdj6bv617lPhXNqi5o0JfPT87HmzzrAxdnVXy1/I+/KK+OPAH/Bcj4J+ LrhItU/4SrwuzHDS3+miaEfjbvI2P+Aivpr4U/Hfwb8c9IN94P8AE2i+IrdADJ9iulkeHPaRM7kP swBrgxmU43CK+IpSiu7Tt9+x04fH4evpSmn89fu3Otr43/4Kcf8ABTez/ZZ0a48HeD7i3vviJfRf vHGJItBjYcSSDoZiDlIzwOGbjar/AGODmvg7/gqZ/wAEtl+Nkd98Rvh3ZKnjCNTLqulRDautqBzJ GOguAByOkn+/9/t4ajgJY+CzB+507X6c3l/T0uc2cSxKwsnhfi/G3W3n/S1Pyn1zW7zxLrN1qOo3 VxfX99K09xcTyGSWeRiSzsx5LEnJJ5NVafc20llcyQzRyQzQsUdHUqyMDggg8gj0NMr+iY2Sstj8 n16hRRRTAK/TX/glZ/wVT/tf+zfhl8TtS/0v5bbQtduZP9f2S2uGP8fQJIfvcK3OC35lUV5OcZNh 8yw7oV16Pqn3X6rqd2X5hVwdX2tL5ro0f0plqWvzf/4JW/8ABVP+1f7N+GXxO1L/AEv5bbQtduZP 9f2W2uGP8fQJIfvcK3OC36P5r8BzfKMRl2IeHxC9H0a7r+tD9RwGPpYukqtL5rqn2YtFFFeWdoUU UUAFFFFABRRRQAUUUUAFfC//AAcHeN5PDH7ClrpschUeJPEtnYyoD99Ejmucn2DQJ+JFfdFfmf8A 8HJuvSQfCf4Z6Xz5d1q11dH6xwqv/tU1UPiA/I+iiiukC54Z8P3Xi7xJp+k2Mfm3mqXMdpbp/fkk YIo/EkV/Tl8JPh3Y/CL4W+HfCulqV07w7ptvpttkYYpFGqAn3IXJ96/nl/4J2+Gl8V/t0/Ce0Zd6 x+J7K6KkZDeTKJsH2Pl1/R5isajAKKKKyAKKKKACiiigAr89v+Djv/k0PwZ/2OEX/pFd1+hNfnt/ wcd/8mieDP8AscIv/SK7qo7gfjRijFFFdIH9EH/BLD/lHx8K/wDsCJ/6E1fQFfP/APwSw/5R8fCv /sCJ/wChNXvzuI0Zm4VRkn0FcstwPK/2w/2v/Cf7FfwdvPF3iqdmCnyNP0+Ej7RqdwQSsUYP0JLH hVBPsfwl/bP/AOCg/wARP23vFclz4m1SSz8PxSb7DQLORksbMDO0lf8AlrJycyPk8nG1cKOi/wCC pf7ad1+2d+1Fql9a3byeD/DckmmeHoVb92YVbD3AH96Zl35IzsEan7or5txW8I21ATbS7aTPNd38 IP2YfiL8f/MbwX4K8SeJIYW8uS4srGSS3ib+60uNin2LA1QHC4oxX0Sv/BJf9oxlz/wqvXuf+m1v /wDHKX/h0t+0Z/0SvXf+/wDb/wDxyjmQHzriv1Q/4NnRj/hdf/cC/wDcjXxz/wAOlv2jP+iV67/3 /t//AI5X6F/8EG/2S/iN+y3/AMLV/wCFgeFb7wz/AG7/AGR9g+0vG32nyvt3mY2M33fNj64+8Kib VgPq/wDb6/5Mb+MX/Ymav/6Ry1/N3iv6RP2+/wDkxv4xf9iXq/8A6Ry1/N3Sp7AGKMUVqeH/AARr fi2KSTSdH1TU44SFka0tJJghPIBKg4/GtQMvFGK6T/hTfjD/AKFTxL/4K5//AImob/4VeKNKs5Li 68N6/bW8I3SSy6fMiIPUkrgCmBg4qS0upbC6int5JIZ4XEkckbFXjYHIYEcgg85FRZ4pakD9gf8A gjH/AMFV9Q+OV7D8KfiTqDXniqGFm0LWJ2/eavGi5aCY951UFg//AC0VW3fOpMn6P1/Lr4B8b6l8 MvG+j+ItFuXs9X0K8iv7OdesUsbh0PvyBx3Ff0xfBH4m2/xo+DnhXxdZp5dt4n0m11SOPdu8sTRL JtJ9RuwfcGsakbagdRXzt/wUR/4KIeGf2CPhml5eKmr+LtYVk0XRlk2tOw6zSn+CFMjJ6sSAO5Hu PxA8c6b8MfAuseI9YuFtNJ0Gymv7yYjPlQxIXdseyg8V/OD+15+09rn7X/x+17xzrkkgbUpiljal ty6faKSIYF7fKvJIA3MXbqxpQjd6gN/aZ/a28fftdeOJNd8c69c6nJuY2tmpMdlp6n+CGHO1BjAz yzYyzMea83xRQTW4BtoxVnR9EvvEN6ttp9ndX1w3Iit4mlc/RVBNbf8Awpvxh/0KniX/AMFc/wD8 TQBzeKMV0n/Cm/GH/QqeJf8AwVz/APxNH/Cm/GH/AEKniX/wVz//ABNUB+xX/Bu6P+MGNa/7HG8/ 9JbOu5/4Llf8o2/Gn/X3pv8A6XQVyf8Awb9eG9S8LfsSaxb6pp97ptw3i67kEV1A0LlTa2YBwwBx kHn2rrP+C5X/ACjb8af9fem/+l0Fc32gPwYxRiiiugD9zP8Aggb/AMo/NP8A+w1f/wDowV9qV8V/ 8EDf+Ufun/8AYavv/Rgr7UrmluB+Fv8AwXoH/GwXUv8AsDWX8nr4xxX6W/8ABYP9gb4wftCftn33 iTwZ4F1TXtEl0u1gS7gkhVGdAwZcM4PGR2r5c/4dLftGf9Er13/v/b//ABytoyVgPnXFGK+iv+HS 37Rn/RK9d/7/ANv/APHKP+HS37Rn/RK9d/7/ANv/APHKrmXcD51xRivoa6/4JP8A7RVnbvJJ8K/E G1Bk7ZIGOPoJCT+FeK/EX4YeJPhD4lk0bxVoOr+HNWiUO1pqVo9tNtPRgrgEqexHBovcDDxmvtb/ AIJY/wDBV7Xv2TfGGm+D/GWo3WqfDG+lEBE7GSTw8WOBNCeT5IPLxjgDLKN2Q/xTSFc0SVwP6nLK +h1K0iuLeWOeCdQ8ckbBldTyCCOCD6ipa+Jf+CEn7Tdx8dP2PF8Oapctcax8O7kaSGYlneyZd9qS f9ld8QH92Adea+2q5mrOwBRRRSAKKKKACiiigAooooAKKKKACiiigAooooAKKKM8UAGa4P8AaB/a W8F/sweC213xprdtpNq2RbxE77m9cD7kMQ+Z26dOBnJIHNeKf8FA/wDgp14d/Y606XQ9JW28RfEC 4izFp+/MGmhh8slyVORwciMEMwxyoIavx++M/wAcPFX7Qnju68SeL9YutZ1W6ON8rYSBM5EcaD5Y 0HZVAHU9STX23DfBtfMEsRiLwpfjL07LzfyTPm834gp4W9Kl70/wXr5+R9ZftYf8FtfHXxYnutL+ HkL+BfD7ZQXYKyarcr6l+Vhz1xHlh/z0NfFmva/f+KdXuNQ1S+vNSv7pt81zdTNNNM3qzsSSfcmq lFfsWX5ThMDT9nhYKP5v1e7PgcVjq+JlzVpN/l8kFFFFegcoVp+EPGmsfD7xBb6toWqaho+qWjbo buyuGgmiPsykEVmUVMoqStJaDi2ndH6KfsWf8FwNQ0i7tPD3xij/ALQsWIij8R2kOLiDsDcRIMSL 6vGAwx91yc1+l/hTxXpfjnw5Z6xo1/aappeoxCe2u7WUSQzoejKw4NfzeV9HfsB/8FE/En7Fvi5L WVrjWvAmoS51HSC/MJPBnt88JIO44VwMHB2sv51xJwNSrReIy5cs+sej9Oz/AA9Nz6zKOJZ02qWL d49+q9e6/E+1v+CpP/BLWP42W198RPh3YpD4yhUzappcKhV1xQOZEHQXA9P+Wn+9978nrm2ksrmS GaOSGaFijo6lWRgcEEHkEehr+i/4V/FTQPjX4B03xN4Y1K31bRdWjEtvcRHr2KsDyrqchlOCpBBw a+Mf+CpP/BLWP42W198RPh3YpD4yhUzappcKhV1xQOZEHQXA9P8Alp/vfe8vhPiyWHksuzF2S0Te 8X/LLy7Pps9Nu3PMjVVfW8Jvu0uvmvP8/Xf8m6Kfc20llcyQzRyQzQsUdHUqyMDggg8gj0NMr9bP hQooooAM1+mH/BKz/gqn9tOm/DH4nal+/wDlttC125k/1nZLa4Y/xdAkh68K3OCfzPoryc4yfD5l h3Qrr0fVPuv1XU7svzCrhKvtaXzXRo/pTzS1+bf/AASs/wCCqf206b8MfidqX7/5bbQtduZP9Z2S 2uGP8XQJIevCtzgn9I81+A5xlGIy7EOhXXo+jXdf1ofqOAx9LF0lVpfNdU+wtFFFeWdoUUUUAFFF FABRRRQAV+XP/Byzu/sD4Q4+79o1Xd9dtpj+tfqNX5m/8HJ2hyTfC34Y6lj93a6rd2xPvJCrD/0U aqHxAfkjRRRXSB9Ff8Ekwp/4KMfCvf8Ad/tOX8/s02P1xX9C1fzj/wDBOXxGPCv7d3wnumby/M8T WdpuP8PnyCH/ANqV/RxWFTcAooorMAooooAKKKKACvz2/wCDjv8A5NE8Gf8AY4Rf+kV3X6E1+e3/ AAcd/wDJongz/scIv/SK7qo7gfjRRRRXSB/RB/wSw/5R8fCv/sCJ/wChNSf8FSPjTJ8Bv2DviJrd tN5OoXOnf2VZsDtkWW6dbcMn+0gkZx6bM0v/AASw/wCUfHwr/wCwIn/oTV8+/wDBxf4qbSf2PPC+ lxybX1bxVCZFH8cUVtcsR/32Yz+Fc32gPxhxRRRXSB9Uf8Em/wBgH/huX47y/wBtrMngXwmsd3rT IxQ3jMT5VorDkb9rFiMEIjYKsVNfvL4O8GaT8PvDNlouh6bZ6TpOnRCC1tLSFYYYEHRVVQAB9PWv w+/YK/4K9yfsHfBSTwjpXw303WprvUJdRvNRm1ZoJLmRwqqNoibAVERQMkcE8ZNe2/8AESpr3/RJ tI/8H0n/AMZrKUZNgfrPRX5Mf8RKmvf9Em0j/wAH0n/xmj/iJU17/ok2kf8Ag+k/+M1Hs2B+s9Ff kx/xEqa9/wBEm0j/AMH0n/xmvvn/AIJ8/tb3P7bP7N1l48u9Eg8PzXd7c2hs4bk3CqIn2ht5VTz6 Y4pOLWrA0v2+/wDkxv4xf9iXq/8A6Ry1/N3X9In7ff8AyY38Yv8AsS9X/wDSOWv5u60p7AFfrd/w bbosnwr+JSsoZf7WtjgjP/LE1+SNfrf/AMG2n/JLfiX/ANhW2/8ARJqqnwgfpb9ki/55R/8AfIoF rED/AKuP/vkVJRXOB+R//BwD+xV4X+FUPhv4peFdKs9DbXtRbSdat7VBHDc3DRPLFOEAwrlYpQ5H 3jtOM7i35n1+0n/BxmP+MJPC3/Y8Wn/pBqFfi3XRTegBX9Cn/BJW/k1H/gnh8MJJWZmTTGiBJzhU mkVR+AAr+euv6Df+CQv/ACjq+Gf/AF4y/wDpRLU1dgPNP+C+nxqk+Gf7DzaDazLHeeONWg0xwDhx bpuuJCD6ExIh9RIR0zX4e7a/UD/g5U8W+d4l+E+hI+Bb22pX0q/3i7W6IT9PLfH+8a/L+qp/CAV9 S/8ABK7/AIJ2zft5fF+6bVpbmx8C+F/Lm1i4hO2S6Zs+XaxN2Z9rFm/hUHoWWvlqv3v/AOCKXwet /hN/wT78IzLD5d94sefXb18f61pXKxH/AL8Rwj6g0TlZAfQnwi+A/g34C+EYdB8HeG9I8PaXCqjy bO3VPNIGA0jfekf1ZyWPUkmup+yRf88o/wDvkVJRXOBH9ki/55R/98ij7JF/zyj/AO+RUlFADY4l iHyqq98AYr5I/wCC5X/KNvxp/wBfem/+l0FfXNfI3/Bcr/lG340/6+9N/wDS6CqjuB+DFFFFdIH7 mf8ABA3/AJR+6f8A9hq+/wDRgr7Ur4r/AOCBv/KP3T/+w1ff+jBX2pXNLcAorI8dePdF+GPhO+13 xFqlhouj6bH5tzeXkywwwrkDLMxAGSQB6kgdTXwd8cv+DiL4Y+BNUms/BXhvXvHTQsR9rdxplnMP VGdWl/76iH40lFvYD9CKK/Ju6/4OWdYeQmH4R6bHH2EniF3P5i3H8qZ/xEqa9/0SbSP/AAfSf/Ga fIwP1nrwD/go/wDscaL+2R+zRr2k3Gn28nibS7WW+8P3ojHn212i7lQN12SbQjryCCDjcqkfC/8A xEqa9/0SbSP/AAfSf/GaQ/8ABypr2P8Akk2kj/uPSf8AxmqUJAfmNmlp99crd300yxiFZXLhF6IC ScD6UytwP0g/4NuPF81j8dfiNoKt+41PQ7e+dexNvOUU/h9ob8zX7AV+MH/BuQdv7Zni5e3/AAhd wf8Ayesa/Z+uepuAUUUVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACZr4s/4Ke/8FQLf9maxuPBH gi4t7zx/dRYubkYki0BGHDMOQ05ByqHhQQzZGFbov+CoX/BQ6D9kPwGPD/h2aGf4heIICbVThxpM BypunXpuzkIp4JBJyFIb8ZdX1e78QatdX99cz3l9eytPcXE7mSSaRiWZ2Y8liSSSeSTX6Jwbwn9a ax2MX7tfCv5n3fl+fpv8nxBnjoXw2HfvdX2/4P5eo7WtbvPEmsXWoahdXF9f30rT3FzcSGSWeRjl nZjyzEkkk81Voor9jSSVkfn++4UUVoeF/Cup+N/ENppOjafeapql/IIba0tYWlmnc9FVVBJP0olJ JXYJNuyM+iv0M/ZW/wCCE2seJ7W21b4razJ4ft5AHGi6WyS3pHpLMd0cZ/2VDnB6qeK+2vhf/wAE 4/gn8JLOOPTfh34dvJkAzcarB/aUzH+9un37Sf8AZAHsK+KzLjzLsNJwpXqP+7t973+V0fRYPhnF 1lzTtBee/wB3+dj8GaK/oO8TfsgfCnxjYNbal8N/A9zGwxn+xbdXT/ddUDKfcEGvkz9qb/ghh4R8 Y6fc6l8Lb6XwrrCguumXsz3GnXB/uh2zLET65de20da58D4hYCtPkrxdPzeq+dtfwNsVwriqceam 1Ly2f9fM/KSiul+Lfwf8S/Anx3eeGvFmkXei6zYn95BOv3lPR0YfK6HHDKSD2Nc1X3dOpGcVODun s1sz5mUXF8slZo+hP2A/2/8AxB+xN48+XztW8F6rKp1bSC/0Hnw54WZR+DgbW/hZf2s+FHxX8P8A xv8Ah/pvifwvqVvqui6rGJYJ4z+BVh1V1OQynBBBBr+c+voL9gP9vvxB+xP8QNy+fqvg3VJV/tfS N3XoPPhzwsyj6BwNrfwsvxHFnCUcfF4rCq1Vb/3v+D2fyfRr6PIs8eFao1tYP8P+B/SPuT/gqL/w Szh+N9vffEL4eWccPjOFTNqemRKFTXFHWRB0Fx+kn+9y35O3VpLY3UkM0ckM0LFJI3UqyMDggg8g g8YNf0WfCj4seH/jf8P9N8UeF9Sg1TRdViEsE8R6dirDqrqchlOCCCDXxx/wVI/4JbxfHO2vviF8 PbKOHxpChl1LTYlCrrqjq6DoLgD/AL+dPvYJ+d4T4slhpLLsxdktE3vF/wAsr9Oz6bPTb1c8yONa P1vCb7tLr5rz/P13/JaipLq0lsbqSGaOSGaFikkbqVZGBwQQeQQeMGo6/XD4UKKKKACv0u/4JYf8 FVvtP9m/DP4nal+8+W10PX7mT7/ZLa5Y9+gSQ9eFbnBP5o0V5OcZPh8yw7oV16Pqn3X6rqd2X5hV wlX2tL5ro0f0p5pa/Nf/AIJWf8FUvM/s34Y/E7Uvm+W20LXbmTr2S2uHPfoEkPsrdjX6T5r8BzjJ 8Rl2IdCuvR9Gu6/rQ/UMvzCli6XtaXzXVMWiiivLO4KKKKACiiigAr4T/wCDhTwXJ4k/YYsNRjjL f8I74mtLyVwPuRvFPb4P1eZPyFfdleK/8FFPg+/x4/Yj+JXhmGNprq50aW6tIlXc01xbkXMKD6yR IPxqo7gfzk0UmaWukC94R8TXXgrxXpmsWL7L3SbuK9t2/uyRuHU/gVFf06/DHx7Y/FP4b6B4m0t2 k03xBp0Go2rHq0UsayLn3wwr+XzbX7B/8ECP23rPxz8KX+DuvXkcfiDwv5lxoYlba1/Ysxdo1z95 4XLHGc+Wy4GEYjKorq4H6O0UUViAUUUUAFFFFABX57f8HHf/ACaJ4M/7HCL/ANIruv0Jr89v+Djv /k0TwZ/2OEX/AKRXdVHcD8aKKKK6QP6IP+CWH/KPj4V/9gRP/Qmr5T/4OSi//CoPhsP+Wf8AbFwT 9fI4/rX1Z/wSw/5R8fCv/sCJ/wChNXzv/wAHGvhf+0f2SfCOrIhaTTPFUcTkfwxy2txkn23Ig+rC uePxAfjPRRRXQAbaMV9Yfsa/8EjfGn7b3we/4TLwr4s8G2trHey6fcWl7JcLcWs0e07X2xMvKOjD BPDDvxXrH/EOV8XP+hw+H/8A3/u//jFLmXcD898UYr9CP+Icr4uf9Dh8P/8Av/d//GKP+Icr4uf9 Dh8P/wDv/d//ABilzLuB+e+K/dL/AIIK/wDKPDR/+wzqH/o2vjX/AIhyvi5/0OHw/wD+/wDd/wDx iv0a/wCCav7KmufsY/st2PgbxDfaXqWpWt/dXTT6eztCyyvuUAuqnI78VFSSaA6L9vv/AJMb+MX/ AGJer/8ApHLX83df0ift9/8AJjfxi/7EvV//AEjlr+buinsAV+t//Btp/wAkt+Jf/YVtv/RJr8kK /W//AINtP+SW/Ev/ALCtt/6JNVU+ED9MaKKK5wPgP/g4z/5Mj8Lf9jxaf+kGoV+LdftJ/wAHGf8A yZH4W/7Hi0/9INQr8W66KewBX9Bv/BIb/lHV8M/+vGX/ANKJa/nyr+g3/gkN/wAo6vhn/wBeMv8A 6US1NTYD4G/4OPSx/aS8Cr/yz/4R5yPr9obP9K/Ouv06/wCDlLwn9l8a/CnXFVit5ZajZO3YGJ7d 1z9fNP5GvzFqqfwgFf0ifsBJGn7DXwf8sDb/AMIbpJOPU2kRP65r+buv3+/4I3fFiD4r/wDBPbwI yzrLd+HYpdDu0H/LBreRljU+5hMTfRxU1NgPqKiiisQCiiigAr5G/wCC5X/KNvxp/wBfem/+l0Ff XNfI3/Bcr/lG340/6+9N/wDS6CqjugPwYooorpA/cz/ggb/yj90//sNX3/owV9pSyrDGzuwVVBZi egAr4t/4IG/8o/dP/wCw1ff+jBXp3/BVn4uXHwU/YB+I+sWcnlX11p66VAwOGVruVLYsp7MqyswP bbXNLVgfkp/wVb/4KH6p+2l8arzS9JvpY/hx4ZuXg0i0iciPUHTKteyD+Jn52ZHyIQAAzOW+UMUb aK6FZaAGKMV7t+xx/wAE5fif+3G13ceDdOsbfRdPm+zXOsapcG3soptobywVVndgpBIRG2hlzjcu fpEf8G5Xxc7+MPh774nu/wD4xRzLuB+fGKMV+hH/ABDlfFz/AKHD4f8A/f8Au/8A4xSH/g3M+LSD LeMfh8FHJPnXfA/78UuZdwPz320tTalZtpmoXFu7KzW8jRMR0JBI/pUNUB+gH/BuT/yef4t/7Eq4 /wDS6xr9oK/F/wD4Nyf+Tz/Fv/YlXH/pdY1+0Fc9TcAoooqACiiigAooooAKKKKACiiigAooooAK 81/a1/aZ0f8AZL+Bur+MtY2zG1XybC03bW1C6cHyoV+pBJPO1VY4OK9KzX4zf8Fif2tpP2gP2j5v C+mXRfwv4BkksIQjfJdXucXE3vhgI16jEZI++a+i4YyV5ljVSl8EdZenb57fe+h5Oc5j9Tw7mvie i9e/yPmf4t/FbXPjh8R9X8V+JLxr7WdauDcXEp4UZ4CKP4UVQFVegVQO1c5RRX9CU6cYRUIKyWiX ZH5XKTk3KW7CiivSv2VP2WvE37Xfxas/CvhuHazfvr6+kUmDTbcEBpZMfXAXqzEAdciK9enRpurV dopXbZVOnKpNQgrt7Ef7MP7LPi79rX4kw+G/Cdj50mBJeXkuVtdOhJwZJXxwOuAMsxGADX7OfsY/ sD+Cf2L/AAssej266p4kuowuoa7dRj7TcnqUTr5UWeiKecDcWIzXVfsv/sv+Ff2S/hba+F/Ctp5c aYkvLyQA3OpT4w0srDqT2HRRgAAV6Rtr8O4m4srZjN0aF40l06y83+i/U/SMnyKnhIqpU1qfl6f5 gVzRRRXxp9AFG2iigDxf9tT9ibwv+2j8NX0nWI1sdcslZ9I1iOMNPYSHsem+JiBuQnB6jDAMPxH+ P3wB8T/sz/E6/wDCfiywax1KxO5WXLQ3cRJ2zRPj5o2wcHqCCCAQQP6IMV41+2j+xV4X/bS+GbaP rSCy1ixDSaRq8cYM+nykf+PxtgbkJwQARhgGH2nCvFk8un9XxGtF/fHzXl3XzWu/zueZHHFx9rS0 qL8fJ+fZ/wBL8EKK7b9oL9nzxR+zJ8Tr7wn4ssGs9SszujkXLQXkJJ2zRNj5o2wcHqCCCAwIHE1+ 4Ua0KsFUpu8Xqmtmj83qU5Qk4zVmj6C/YD/b78QfsT/EDcvn6r4N1SVf7X0jd16Dz4c8LMo+gcDa 38LL+13wn+LPh/44eANP8T+F9Sg1XRdUjEkM8R6HujDqrqeGU4IIIIr+c+vfv2CP2+PEH7E3xC8y PztU8H6pIv8Aa+kb+HHTz4c8LMo+gYDa3Yr8TxZwnHHxeJwqtVX/AJN5Pz7P5Po19HkeeSwrVGtr B/h/wPL5o+6/+CpH/BLeL452198Qvh7ZRw+NIUMupabEoVddUdXQdBcAf9/On3sE/k1d2sthdSQz xyQzQuUkjdSrIwOCCDyCDwQa/oq+Enxc8P8Axz+Hum+KPC2pQ6pouqR+ZDNGeQejIy9VdTkMpwQR g18e/wDBUb/glxD8eLO8+IHw+sorfxtAhl1HTolCpryjqyjoLgD/AL+dD82CfneE+LJYaSy7MXZL RN7xf8svLz6bPTb1c8yNVo/W8Jvu0uvmvP8AP13/ACToqS8s5tPu5be4ikguIHMckUilXjYHBUg8 gg9Qajr9cPhQooooAK/Tj/gkz/wU9k8QPpvwr+Iuobr7C23h7WbiTm57LaTMf4+0bn73Cn5tu78x 6dHI0MiurMrKdwYHBB9a8nOsmoZlh3QrL0fVPuv1XU7svzCrhKqq0/mu6P6Ud1LXxn/wSW/4KDn9 prwOfBXiy83eOvDduCk8rfNrVouF833lTgP3OQ3OW2/Zlfz3mWX1sDiJYauvej9zXRryZ+qYPF08 TSVans/w8gooorhOoKKKKACkZNylfXilooA/nP8A+Cjv7Msv7J37YHi7wsts1vo81ydT0YgEI9jO S8YXPURndET3aJq8Pr9zv+C0P7As/wC1v8DYvE3hmyNx468DpJPbQxKPM1S0PMtsO7OMB4xz8wZQ MyEj8MXDRuVZSrKcEEcg10RldAFaHhLxZqngPxLY6zouoXml6tpky3Fpd2spimt5FOQysOQRWfRV gfph+zP/AMHFeueGNHttN+KfhEeI2hAVtZ0aRLa5lA6l7dsRs59UeNePu177a/8ABxH8DbiFWbRf iNCxHKSaZa5H/fNyR+tfikBik21Hs0B+2X/EQ78C/wDoF/EL/wAFdv8A/JFH/EQ78C/+gX8Qv/BX b/8AyRX4nYoxR7OIH7Y/8RDvwL/6BfxC/wDBXb//ACRR/wARDvwL/wCgX8Qv/BXb/wDyRX4nYoxR 7OIH9T6PvRW/vDNfnv8A8HHf/Jongz/scIv/AEiu6/Qa3/494/8AdFfnz/wcd/8AJongz/scIv8A 0iu6xjuB+NFFFFdIH9EH/BLD/lHx8K/+wIn/AKE1Z/8AwVp+Dcnxu/YC+IWn20Imv9Lsl1q2wMsD aOs7hR3LRpIoH+161of8EsP+UfHwr/7Aif8AoTV75d2sd9ayQzRrJDMpR0dQysDwQQeCPY1zdQP5 Ys0te7f8FGv2QLz9i/8Aah1zwz5Eg8P30jajoFwclZrKRiVTd3aM5jboSUzjDAnwmui9wPsL/gjn +39a/sZfHG60nxPcND4E8aeXBfy9V0y5UkRXOP7nzFXxztKtz5YB/dbTNUtta063vLO4hu7S6jWa GaFxJHMjAFWVhwVIIII4INfyz4r2X9n3/goN8ZP2XdLXT/BfjzVtN0tc7dPnWO9s48nJ2RTq6x5P JKBSazlC+qA/o7or8G1/4LlftFhefFWlt7nR7fn/AMdpf+H5n7RX/Q06V/4J7f8A+JqfZsD946K/ Bz/h+Z+0V/0NOlf+Ce3/APia+8f+CJP7cvxF/bQ/4WZ/wn2qWupf8I1/Zf2DybOO38vz/tnmZ2Ab s+TH16YPqalwaVwPpb9vv/kxv4xf9iXq/wD6Ry1/N3X9In7ff/Jjfxi/7EvV/wD0jlr+butKewBX 63/8G2n/ACS34l/9hW2/9EmvyQr9b/8Ag20/5Jb8S/8AsK23/ok1VT4QP0xooornA+A/+DjP/kyP wt/2PFp/6QahX4t1+0n/AAcZ/wDJkfhb/seLT/0g1Cvxbrop7AFf0G/8Ehv+UdXwz/68Zf8A0olr +fKv6Df+CQ3/ACjq+Gf/AF4y/wDpRLU1NgPJP+Dgn4NP4/8A2LrXxNaweZc+CNZgu5nHVbWYG3cY /wCukkJ9gp7cj8Ta/p++Lfwx0v40fDDX/Cetw+dpXiKwm0+6UYDBJEKkqSDhhnIPUEA9RX82/wC0 h8BNc/Zh+NniDwP4ihKahoN00IkClUu4jzFOmf4JEKsO4BwcEEApy0sBxNfY3/BH7/go1b/sT/FG +0PxVJN/wr/xc6fbJUUyNpNyo2pchBklCp2yBRuICEZ2bW+OaMVpLXQD+ozwd410f4h+G7TWNB1S w1jSr+MS215ZTrPDOvqrqSCPoa1K/mH+HHxv8afB2WSTwj4u8UeF2mOZDpOqT2Xmf73lsufxrtv+ HgXx0/6LB8Sv/Ciu/wD4usvZgf0hUV/N7/w8C+On/RYPiV/4UV3/APF0f8PAvjp/0WD4lf8AhRXf /wAXS9mB/SFmvkb/AILlf8o2/Gn/AF96b/6XQVkf8EKvi54q+NP7HOrat4v8Ra14n1SLxVdWyXeq Xkl1MkS21owQM5J2gsxA6ZY+ta//AAXK/wCUbfjT/r703/0ugqVpKwH4MUUUV0gfuZ/wQN/5R+6f /wBhq+/9GCo/+C+/nf8ADAV35e7y/wC27Hzcf3d5xn/gWKk/4IG/8o/dP/7DV9/6MFenf8FWPhDc fGz9gH4j6PZx+dfWunrqtuoGWZrSVLkqo7syxMgHfdXP9oD+eWik3UtdAH7sf8EINR0q9/4J2eHY tPaFryz1PUIdT2feE5uXdQ3v5LwnnsRX2R3r+ab9nX9rn4kfsn6xcXvw/wDFmo+HnvMG5hQJNa3J GQDJDIrRsQCQGK5GTgjNe6p/wXK/aLVRnxVpbH1OjW/P5LWMqbbA/eSo7s/6LJ/uH+VfhB/w/M/a K/6GnSv/AAT2/wD8TR/w/L/aKP8AzNGkn2OjW5H/AKDS9mwPlDxYP+Kp1L/r7l/9DNUakvbp9QvJ p5DmSZ2kcgYyScmo62A/QD/g3J/5PP8AFv8A2JVx/wCl1jX7QV+L/wDwbk/8nn+Lf+xKuP8A0usa /aCsKm4BRRRUAFFFFABRRRQAUUUUAFFFFABRRRQB5T+238dj+zb+yz4y8XRSLHf2NiYdPz/z9zER QnHfbI6sR6Ka/AOaZ7iVpJHaSSRizMxyzE8kk9zX6rf8F/fiHJo3wN8E+GY5Nn9vazLfSAfxpbRb cH23XKn6gV+U9ftfh7gVSy54jrUb+5aL8bn51xViXPFql0ivxev5WCiiivvT5g1vAngfVPiX4z0v w/odnLqGr6xcpaWlvGPmlkc4A9AO5J4ABJwBX7rfsM/sc6N+xj8FbXQLMQ3euXoW41vUgvzX1xjo D1ESZKovYZONzMT8e/8ABCX9k+Iw6t8XtYtt0gd9J0AOv3OMXFwPc5EQI9JR3r9KttfjfHmfSr1/ 7Pov3IfF5y7ei/P0R+gcMZWqdL61UXvS28l/wfyDbRRRX52fWBRRRQAUUUUAFG2iigDxv9tD9i/w x+2j8MH0XWkWz1ezDSaRq8cYafTpSP8Ax6NsAMhOGABGGCsPxF/aC/Z88UfsyfE6+8J+LLBrPUrM 7o5Fy0F5CSds0TY+aNsHB6ggggMCB/Q9trxv9tD9i/wx+2j8MH0XWkWz1ezDSaRq8cYafTpSP/Ho 2wAyE4YAEYYKw+04V4qnl0/YV9aL++L7ry7r5rXf53PMjji4+1paVF+Pk/0f9L8D6K7b9oP9nvxR +zJ8Tr7wn4ssGstRszujkXLQXsRJ2zRPgbo2x16g5BAYED2X/gnR/wAE6dY/bO8YrqWpC50n4f6T MBqF+o2veuME21vnguRjc/IQHPJKqf2XE5nhqGG+uVJr2dr379rd79D8/o4OtUrfV4R97a3b1Pav +CFfhn4pD4gapqelzfZfha25NWW8VmhvLkL8gthkfvl+Xc4+UJw2TsA/U8DFY/gPwDo/wv8AB2n+ H/D+n2+k6NpMIgtbW3XbHCg/UknJJOSSSSSSTWxX8/59m39o4yWJUVFPRLrZdX3f/DdD9SyvA/VM OqLlf+unkfCP/BVb/gmHD8a9LvviN4BsFj8ZWsZm1TTYEwNdRRy6KP8Al4A9P9YOPvYz+TTo0bsr KVZTggjBBr+lPFflX/wWj/YPi+G/iI/FjwrZCLRdcuBHr1tEny2d25+W4AHRJTw3YSYPJkAH3PA/ FEuZZbin/gb/APSX+n3drfM8SZKrPF0F/iX6/wCf39z8/wCiiiv1Y+JCiiigDoPhT8UNa+C3xF0f xV4du2stY0O5W5tpR0yOqsP4kZSVZehViO9fvh+yv+0ZpP7VXwN0Pxpo+I01KLZd227c1jcpxLC3 +63QnG5SrYwwr+e+vtb/AIIo/tXv8H/j7J4D1S5K+H/HzLFbh2+S21FR+6YenmrmM45LGLstfEcc ZGsZg/rNNfvKevrHqvluvn3Po+G8yeHxHsZv3Z/g+j/T/hj9fqKM0V+HH6SFFFFABRRRQAFcivzZ /wCCp3/BFlvjBq+pfEb4S29vb+JbpmudX0AssUOqueWmgY4VJieWViFflsq2fM/SaimnYD+W/wAW +EtW8BeI7zR9c02+0fVtPkMVzZ3sDQT27jqrowBB+orOzX9K/wC0F+x98M/2ptMW28eeD9I19o12 RXUkZivIF5OI54ysqDJJIVgCeua+Nfif/wAG5Xw28QXDTeFfGnivw20jEmK7SLUYIvQKMRvgf7Tk +9bKouoH450V+ol5/wAG0t+kv+j/ABis5E9ZPDDIfyF0ai/4hp9W/wCivad/4Tr/APyRT9ogPzAo r9P/APiGn1b/AKK9p3/hOv8A/JFH/ENPq3/RXtO/8J1//kij2iA/MCiv0/8A+IafVv8Aor2nf+E6 /wD8kUf8Q0+rf9Fe07/wnX/+SKPaID9Xrf8A494/90V+fP8Awcd/8mieDP8AscIv/SK7r9B418uN V/ujFfOv/BSz9hS4/b++DuieFbXxLB4XfSdZTVTcy2JuxKFgmi2bQ6Y/1uc5P3cY5rGO4H89dFfp /wD8Q0+rf9Fe07/wnX/+SKP+IafVv+ivad/4Tr//ACRW3tEB9w/8EsP+UfHwr/7Aif8AoTV9AV53 +yd8DpP2av2dfCfgWbUk1iTwzYrZteJCYVuCCTuCFm29emTXolYPcDw/9vP9hnwz+3d8HX8O60fs Gr2Ba40XV44w02mzkYPHG6N8AOmQGAByGVWX8HP2pf2QvHn7HfxBm8P+NtGmsm3t9jv4gZLHUkH8 cMuAGGCCVOGXIDKp4r+lPFYXxF+GPh34u+FbjQ/FGiaX4g0i6H720v7ZLiFjzg7WBG4Z4I5B5GDV Rm0B/L3mlr9sPjP/AMG+fwZ+IF1cXfhm+8TeCLiTlILW6F5ZIe/yTBpPwEgA9K8Z1T/g2luBKxsv jFC0Z+6s/hggj6kXRz+QrVVEB+WtFfp//wAQ0+rf9Fe07/wnX/8Akij/AIhp9W/6K9p3/hOv/wDJ FHtEB+YFfqh/wbPf81r/AO4F/wC5Gs7/AIhp9W/6K9p3/hOv/wDJFfWH/BL/AP4JqXn/AATw/wCE 4+1eLrfxV/wmH2Db5WnGz+y/ZvtOc5kfdu+0D0xt754mUk0B6r+33/yY38Yv+xL1f/0jlr+buv6c P2hPhc/xw+BHjPwZHerpsnizRLzSFu2i80WxnheLeVyN23dnGRnHUV+Z3/ENPq3/AEV7Tv8AwnX/ APkilTkktQPzAr9b/wDg20/5Jb8S/wDsK23/AKJNcf8A8Q0+rf8ARXtO/wDCdf8A+SK+wP8AgmX/ AME8Lr/gnz4V8T6bdeKrfxSfEV3FdCSKwNp5GxNuMGR92eucinOSasB9Q0UUViB8B/8ABxn/AMmR +Fv+x4tP/SDUK/Fuv6HP+ClH7D9x+338DNJ8HWviSHwvJpuvQ6ybqWyN2sgjt7iHy9odME+eDnP8 OMc8fEX/ABDT6t/0V7Tv/Cdf/wCSK2pySQH5gV/Qb/wSG/5R1fDP/rxl/wDSiWvjH/iGn1b/AKK9 p3/hOv8A/JFfon+xz+z7N+yt+zd4X8AzapHrUnh2B4TepAYFn3SM+dhZtv3sdT0pVJJrQD06vlP/ AIKe/wDBM3Sf28vA0N9p0tro/wAQdDhZNM1GRf3d1Hy32WcgZ8ssSQwBKMSQCCyt9WUVlsB/MX8a vgb4t/Z38e3fhnxpoV9oOsWZO6G4T5ZVyQHjcZWSM44dCVPY1yWa/pv+Nf7PPgn9o3ws2i+OPDOk +JNP5KJeQhngJwC0TjDxsQMbkIbHevir4tf8G6/wr8WXM1x4T8TeKvCUkrkrbyOmoWkK+iq4WXj/ AGpTW6qLqB+M1FfqNff8G0t6kh+zfGK1kTPHm+GGQgfhdGoP+IafVv8Aor2nf+E6/wD8kU/aID8w KK/T/wD4hp9W/wCivad/4Tr/APyRR/xDT6t/0V7Tv/Cdf/5Io9ogPb/+Dd3/AJMY1r/scbz/ANJb Ou5/4Llf8o2/Gn/X3pv/AKXQV3P/AATg/YouP2C/gLfeC7nxFD4mkvNam1YXcVmbRVEkMEezYXfp 5Oc5/i6cVvft4/stTftmfsza38PrfWovD8mrzWsovpLY3KxeTOkuNgZc52Y6jGc1jf3rgfzg0V+n /wDxDT6t/wBFe07/AMJ1/wD5Io/4hp9W/wCivad/4Tr/APyRW3tEB9G/8EDf+Ufun/8AYavv/Rgr 7SkjWaNlZdysMEHuK8R/4J8/shXH7EP7PFv4FuNeh8RyQX0959sjtDaqfNbO3YXfp655r3CsJbgf gh/wVd/4J26p+xf8aLzVtIsJZfhv4luWn0q6iQmPTnfLNZSH+EpzsJ++gGCWVwPk3Nf1F+N/Aujf Evwre6H4g0ux1rR9Sj8q5s7yBZoZ164ZWBB5APsQDXwj8c/+DeD4W+PtTmvPBniLxB4FkuGJNqVG pWUQ/wBhJCsv5ykemK1jU6MD8Y6K/UKf/g2m1JZT5XxgsXTsX8NMp/L7Sf50z/iGn1b/AKK9p3/h Ov8A/JFV7RAfmBRX6f8A/ENPq3/RXtO/8J1//kij/iGn1b/or2nf+E6//wAkUe0QH5gUV+n/APxD T6t/0V7Tv/Cdf/5Io/4hp9W/6K9p3/hOv/8AJFHtEBwH/BuT/wAnn+Lf+xKuP/S6xr9oK+Jf+Ca3 /BI2+/YD+NuseLrrx1a+KI9U0OTRxaxaU1oYy88EvmbjK+ceSRjH8Wc8V9tVjN3egBRRRUgFFFFA BRRRQAUUUUAFFFFABRRRQB+Yf/BwjNIfF/wvjP8AqVs9RZf94vb5/QLX5z1+on/BwT4Ekvvhz8Of EyIfL0vUbvTZWA73EaSJn/wGf8zX5d1++8E1FLJqSXTmX/kzPy/iKLWYTv1t+SCiinQyeTMrFQwU g4Pevqzwz+hL9lX4TQ/Az9nDwV4TiiWJtG0mCK4AGA1wyh52/wCBSs7f8Cr0Cqeh6zB4h0Wz1C1c SWt9AlxC4/iR1DKfxBFXK/lyvUnUqSqVN2236vc/aKcIwgox2SsgooorI0CiiigAooooAKKKKACj bRRQB5X+1V+x34J/bE8H2uk+L7KZm0+dZ7O+tHEV5acjeqOQfldRtZSCDwfvKpHeeA/AOjfDDwdp 3h/w/p1tpOj6TCILS1gXakSD9SSckk5JJJJJJNbGKK6JYqtKkqEpPki20r6JvfQzjRpqbqpLmejf UKKKK5zQKwPij8NtJ+MHw61rwvrluLrSddtJLO5jPXawxuB7MpwwPUEA9q36KqE5QkpRdmtUTKKk uV7H86vxv+E2o/An4u+IvB+q/wDH94dv5LN327RMqn5JAP7rrtYezCuVr7k/4LyfCiPwl+03oPii 3iEcfi7Rws5A/wBbcWzeWzE/9cmgH/Aa+G6/pLJcd9dwNLEveSV/XZ/imfkOYYX6viZ0ez/Dp+AU UUV6hxhVjR9XuvD+r2t/YzyWt5YzJcQTRna8UiEMrA9iCAR9Kr0UNJ6ML22P6FP2V/jbB+0Z+zx4 R8aQ7N+uaeklyi/diuVyk6D2WVHA9hXoFfAn/BAv4tt4i+CPi/wbcTbn8NanHfWyseVhukIKj2Ek Lt9ZPcV991/NueYD6lj6uGW0Xp6PVfg0fr2W4r6xhYVnu1r6rR/iFFFFeSdwUUUUAFFFFABRiiig AooooAKKKKACiiigAooooAKKKKADGKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAxRRR QAUUUUAFFFFABRRRQAYooooAKKKKADFGKKKACiiigAooooAKMUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFJnigDxT/AIKF/s/yftKfsj+LvDdpCZtXjtxqOlqBlmuYD5io vu4DR/8AbSvwXYbSQ3BHUV/Sl3r8af8Agr5+xjN+zn8d5vFmj2hXwd44ne6iMa/JY3py00B7AMcy IOOCyj7hr9O8O84jCcsuqP4vej621X3JNejPjeLMA5Rji4dNH6dH+n3HyHRRRX60fCn7U/8ABIX9 p23+Pv7KGmaLc3Ct4i8Bomj3sZb52gUEW0uPQxrsz3aJ/avquv5+/wBkP9qnXv2P/jRYeLNE/wBI hUfZ9SsGfbHqNqxBeJj2PAZWwdrKDgjIP7n/AAB/aA8M/tMfDDT/ABZ4TvlvdNvlw6NhZrOUAb4Z Vz8si55HQggglSCfwvjLh+eBxTxNNfupu9+ze6f5ry06H6Vw/mkcTQVKb9+Kt6ro/wDP/gna0UUV 8WfRBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+c/wDwcI2Mcng34X3Rx50N7qES+u1kty3/ AKAtfmHX6M/8HBvjaO58WfDXw2j/AL6ztL3Upl/2ZXijjP5wyfrX5zV+/cExlHJqXN/ef/kzPy7i KSeYVLeX5IKKKK+qPECiiigD7e/4IN+M20T9rTW9HZsQa54dmwuessU0LqfwUy/nX67V+J//AARp vGtf+CgXhGNelza6hG3uBZzN/NRX7YV+H+IVNRzXmX2op/i1+h+kcKzcsFZ9JNfk/wBQooor4c+k CiiigAoorifjp+0X4L/Zq8M2useONes/DumX10LKC4uc7ZJijOEGAedqMf8AgJoA7aivnf8A4ewf s9/9FP8AD/5v/wDE0f8AD2D9nv8A6Kf4f/N//iarlYH0RRXzv/w9g/Z7/wCin+H/AM3/APiaP+Hs H7Pf/RT/AA/+b/8AxNHKwPoiivnf/h7B+z3/ANFP8P8A5v8A/E0f8PYP2e/+in+H/wA3/wDiaOVg fRFFeAaX/wAFTP2fdWuVij+KnhWJm7z3BhX/AL6YAV6j8Ovj/wCBfi8W/wCET8ZeFfEpRd7DS9Vg u9o9/LY4/HpUgddRRmigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiijNABRRRQAU UUUAFFFeR/Gj9u34T/s8eM/+Ee8Z+NNK0HWPIS5+y3BbeY3ztbgHg4P5UAeuUV87/wDD2D9nv/op /h/83/8Aiat+Hv8AgqF8B/FevWOl6d8SNDutQ1K4jtbaBC+6aV2Coo+XqWIH40+Vge+0UUUgCiii gAooooAKKKKACiiigAooooAKKKq63rNt4d0e61C8kWG0s4mmmkboiKMkn6AUAWqK+d/+HsH7Pf8A 0U/w/wDm/wD8TR/w9g/Z7/6Kf4f/ADf/AOJquVgfRFFeb/AX9rf4d/tO3GqR+A/FGn+JH0VYmvRa k/6OJN2zOQOux/8Avk16RUgFFFFABRRRQAUUUUAFFFFABRRRQAUUUZoAM18T/wDBTr/gqPD+zVbX HgjwHdW954+mXF3d4WaHQUPPKnKtORyEIIUHLA8KYP8AgqJ/wVDg/Z4sLzwH4Du4bjx3cx+Xe3qE PHoCMPyNwQeF6JnJ5wD+SF/fz6rfTXV1NNc3VzI0s00rl5JXY5ZmY8kknJJ5Jr9I4Q4P9vbG45e5 vGL+15vy7Lr6b/I59n3sr4bDP3ur7eS8/wAvXb9sP+CdH/BRbRv2zfB66bqTWuk/EDS4Qb/Tw21L 5Bwbm3BOSp/iTkoT3BBPtnx9+BXh/wDaQ+FGreD/ABNa/aNM1WPbuXiW1kHKTRn+F0bBB6HoQQSD /Pn4G8c6x8M/F+n6/oGoXOlaxpUwuLS7t22yQuO47EHkEHIIJBBBIr9nv+Ccv/BRrSP2zfCA0nVD a6V8QtKhBvrEHbHfoMA3MAPVTxuTkoT3BBOPFHC1TLqn1/AX5E76bwf+Xbt1NMlzqGLh9VxXxbeU l/n+Z+TX7Wn7KPib9kD4tXXhfxFCZIcmXTtRRCsGp2+eJE9D2ZM5VuORgnzCv6CP2qv2U/Cv7Xnw tuPDPii36Ey2F/EB9p0yfGBJGT+RU8MOD2I/EP8Aas/ZT8VfshfFO48M+JrfIOZbC/iU/Z9TgzgS Rn9GU8qeD2J+24V4pp5lT9jV0rJar+bzX6rp6HzmdZLLBz56etN7eXk/0Z5nXsn7FX7avif9i34n LrGjs19ot8yx6vpEkhWHUIgeo67ZVySjgZBJBypKnxuivqMVhaWIpSo1o80ZaNM8SjWnSmqlN2aP 6H/gD8f/AAz+0x8MbDxZ4Tv1vtMvhtZW+Wa0lGN8Mq5+WRc8joRgglSCe1r8Dv2L/wBtPxR+xd8T E1jRZGvNHvGVNX0iSQrBqMQ/9BkXJ2uBkE4OVLKf26/Z+/aD8M/tN/DCx8WeE75bzTbwbZI2ws9n KAN0Mq5+V1yMjoQQQSpBP4TxNwzVyurzw96lLZ9vJ+fZ9fwP0zJ85hjYcstJrdd/Nf1odvRRRXyp 7gUUUUAFFFFABRRRQAUUUUAFFFFABSE0teK/t/8A7TcP7KP7MHiHxIkyR61cR/2doqE8veSghGA7 7AGkI7iMjvW+Fw9TEVo0KSvKTSXzM61aNKm6k9krn5O/8FTvjcnxz/bY8W3ltN52m6C66FZMDuXZ b5WQg9CDMZWBHZhXzvTpZXuJWkkZpJJCWZmOWYnqSabX9L4HCxw2Hhh4bRSX3I/HcRWlWqyqy3k2 /vCiiiuoxCiiigD6r/4Iv6S2o/t+eGplBxp9hfztjsDbPH/OQV+1Nfk3/wAECfA7at+0h4u8QMu6 HRfD/wBlBx92S4njKn/vmGQfjX6yV+G+IFZTzXl/ljFfm/1P0jham44G/dt/kv0CiiiviT6QKKKK ACvz3/4OOv8Ak0Pwb/2OEX/pFd1+hFfnv/wcdf8AJoXg3/scIf8A0iu6qO4H4z4oxRRXSAYoxRRQ AYoxRRQAYqSyvJtNvI7i3mlt7iFg8csTlHjYdCCOQfcVHRSA+vv2Rf8AgtP8Xv2atQtrPXNTm+If hdWAlsNZnL3ca8Z8m6OZFOAAA+9AOijrX7GfsjftleB/21PhqviPwZqPm+SVjv8ATrgCO90yUjIS VMnGcHDAlWwcE4OP5tcV6X+yT+1b4p/Y4+NGm+MvCtyyzW7CK9snci31S2JBeCUd1OMg9VYBhyBU SgmB/SrRXF/s8/HjQf2mPg1oPjfw1cefpOvWwnQN/rIHGVkicdnRwyMBkZU4JHNdpWAHkf7df7QO qfst/sreLPHmj2llfal4fhilht7sMYZC0yRndtIPRyeD1FfmP/xEc/Fb/oS/Af8A3xdf/Ha+/P8A gsKP+NcvxK/69Lf/ANKoa/n3xW1OKa1A/Qz/AIiOfit/0JfgP/vi6/8Ajtffn/BK39tXxB+3d+z5 rHi7xJpmk6Tfad4im0dIdPDiJo0traYMd7MdxM7DrjAHHWv598V+0n/BuaP+MI/FP/Y8Xf8A6Qaf RUiktAPvyiiisQCiiigAooooAKKKKACiiigArxf/AIKDftIat+yP+yP4q+IOh2VjqGp6CbMQ296G 8iTzryCBt20g8LKSMEcgV7RXyn/wWzH/ABrM+JH+9pf/AKdLSnHcD4X/AOIjn4rf9CX4D/74uv8A 47R/xEc/Fb/oS/Af/fF1/wDHa/PPFGK6OWIH9DH/AATJ/a+139tr9nE+M/EGn6Xpd9/aU9l5FgHE O2Pbg/OzHJz619EV8O/8G/X/ACYef+w/ef8AslfcVYS0YBX4e/8ABwL/AMn9/wDctWP/AKFNX7hV +Hv/AAcC/wDJ/Z/7Fqx/9Cmqqe4HxDiu6/ZZ/wCTm/hz/wBjRpn/AKVxVwtd1+yz/wAnM/Dn/saN M/8ASuKtgP6ZqKKK5QCiiigAooooAKKKKACiiigAooooAK5H4/f8kN8Yf9ga7/8ARLV11cj8fv8A khvjD/sDXf8A6JagD+Y3FGKKK6wP1D/4No/+Rg+MX/XvpH/oV7X6u1+UX/BtH/yH/jF/1w0j/wBC vK/V2uae4BRRRUgFFFFABRRRQAUUUUAFFFFABmviD/gqJ/wVDg/Z4sLzwH4Du4bjx3cx+Xe3qEPH oCMPyNwQeF6JnJ5wD6X/AMFSP2gfH37O/wCzXcat4C0eW4uLqQ2t9rCYf+wIWGBN5fUsxO0ORtQ8 nkqD+It/fz6rfz3V1PNc3NzI0s00rl5JXY5ZmY8kkkkk8kmv0PgvhenjP9uxVnCL0jvdr+by8nv6 b/J8RZ1PD/7NRupPd9l5efn09di/v7jVb+a6upprm6uZGlmmlcvJK7HLMzHkkkkknkk1DRRX7Lto j8/CtbwN451j4aeL9P1/QdQutK1jSphcWt3bttkhcdx6g9CDkEEgggkVk0VMoqS5ZK6Y4yad0ftp /wAE5f8Ago1o/wC2b4QXStUNrpXxC0qEG+sQdsd+gwDc24PVT/EnJQnuCCfVv2p/2V/Cv7XPwsuv DHii2yvMtjfRqPtOmz4wJYz+hU8MOD7fgX4G8c6x8NPF+n6/oOoXWlaxpUwuLW7t22yQuO49QehB yCCQQQSK/Zv/AIJyf8FHtI/bL8J/2Tq5tdJ+IOlw7r2yU7Y9QQcG4gB7f3k5KE9wQa/HeJuGKuWV f7Qy66gnfTeD/wDkfy2eh9/k2dQxkPqmLtzba7S/4P5n5NftWfsp+Kv2QvinceGfE1vkHMthfxKf s+pwZwJIz+jKeVPB7E+Z1/QV+1P+yv4W/a5+Fd14X8UW3HMtjfRqPtGmz4wJY2/QqeGHB9vxC/au /ZQ8VfsgfFGfw14nt8q2ZdP1CJT9m1ODOBJGfXoGU8qeD2J+04W4pp5lT9lW0rLdd/NfqunofO51 kssHLnhrB7eXk/0Z5lXsX7F/7aHij9i74nJrWiu15pN4Vj1fSJJCsGoxA/8Ajsi5JVwMqSeqllPj tFfUYrC0sRSdGtHmjLRpni0a06U1UpuzR/Q7+z9+0H4Z/ab+GFj4s8J3y3mm3g2yRthZ7OUAboZV z8rrkZHQggglSCe3r8Df2Lv20PFH7F3xPTWtFdrzSbwrHq+kSSFYNRiB/wDHZFySjgEgkjlSyn9v vgB8evDv7Svwq0vxh4XuJLjStUU4WVNk1vIpw8Ui9nVgQcZB6gkEE/hPE3DNXK6vPD3qUno+3k/P 8/vR+mZNnEMbDllpNbr9V/Wh2lFFFfKnuBRRRQAUUUUAFFFFABRRQTigBrNtHt61+K//AAVj/bNX 9qj4/Npei3XneDfBpkstPZD+7vpyR59z7hioVT/cQEY3Gvr7/gsX+34nwd8Ez/DDwreD/hK/EVvj VriF/m0mzcfcyPuyyqcDuqEngshr8lxxX6xwDw+4L+0661ekF5dZfPZeV31R8NxRmik/qdJ7fF+i /V+YUUUV+oHxgUUUUAFFFWtC0O78Ta3Z6bYW8l1fahOltbwoMtLI7BVUe5YgfjSckldhvoj9Zf8A gg38Jm8I/sya74qni8ufxhq5WFsf6y2tV8tT/wB/XuB+FfctcT+zp8ILf4A/Avwp4NtdrR+H9Nit JHUYE0oGZZP+ByF2/wCBV21fzZnWO+uY6riekm7ei0X4JH7Bl2G+r4aFHstfXr+IUUUV5Z2BRRRQ AV+e/wDwcdf8mheDf+xwh/8ASK7r9CK/Pf8A4OOv+TQvBv8A2OEP/pFd1UdwPxnooorpA9S/ZO/Y 88afto+N9Q8P+B4dPuNS0uxOozrd3Qt1EQkSPgkHJ3OvHpmvfv8Ahwr+0H/0DfC//g4X/wCJruf+ Dcbj9rXxn/2Kcn/pXbV+y9ZSqNMD8L/+HCv7Qf8A0DfC/wD4OF/+Jqrqv/BCP9ojT7ZpIdB0G+kA 4ig1mFWb8X2r+ZFfu1RU+0YH8zvx2/ZY+Iv7M2qrZ+O/B+teG2lcxxTXMO62nYdRHMhMUhHfaxrg N1f1C/Eb4baD8XPBl/4d8TaTY63ouqRGG5tLuISRyqfY9CDggjBBAIIIBr8E/wDgqT+wLN+wj8eE s9Pa4u/BXiVHvNCupcl41UjzLZ2/ieIsvPdXQ9SQNIVL6MD5no20UVYH6S/8G8f7WEvhf4oa58It TuT/AGd4mjfVtGRj/q7yJR50aj/ppCu89h9nPqa/Xuv5kv2cPi/cfAH49+D/ABpatJv8N6tb30io cGaJXHmR/R496H2Y1/TPp99FqlhDc28kc0NxGskciHKupGQQe4NYVFqB43/wUO+COvftG/seeM/B fhmO3m1zXIIY7VZ5fKjJWeNzubtwpr8mf+HCv7Qf/QN8L/8Ag4X/AOJr9uPHXj/Q/hf4Vu9c8Rar YaHo1gA1ze3sywwQAkKCztgDJIHPc15l/wAPEfgR/wBFe+Hn/g8t/wD4qlGTWwH5Kf8ADhX9oP8A 6Bvhf/wcL/8AE1+kX/BHr9kjxj+xj+zRrnhfxvBYW+rX3iefVYltLkTxmB7W0iUlsDndC/Hpj1r0 n/h4j8CP+ivfDz/weW//AMVXf/Cv4zeEvjn4fm1bwb4j0bxRpdvctaS3WmXaXMMcyqrmMspIDBXQ 464YetEpNrUDpqKKKgAoozUN9qNvplrJPczQ28MKl3kkcKqKOpJPAHvQBNRXluu/tw/BnwxO0Oof Fj4c2ky/eik8RWiyL9V8zcPyrM/4eI/Aj/or3w8/8Hlv/wDFUWYHstFeNf8ADxH4Ef8ARXvh5/4P Lf8A+Ko/4eI/Aj/or3w8/wDB5b//ABVOzA9lorxr/h4j8CP+ivfDz/weW/8A8VR/w8R+BH/RXvh5 /wCDy3/+KoswPZa8J/4KW/APxF+0/wDsV+MvA/hWO1m17WjYm2S5m8mI+VfW8z5bBx8kbfU4Heva PDfiTT/GPh6x1bSby21HS9Ut47u0u7eQSQ3MMihkkRhwyspBBHBBqn8QfiLoPwn8I3fiDxNrGnaD oljs+031/OsFvBvdY13OxAGXZVGepYClswPxJ/4cK/tB/wDQN8L/APg4X/4mj/hwr+0H/wBA3wv/ AODhf/ia/Wv/AIeI/Aj/AKK98PP/AAeW/wD8VR/w8R+BH/RXvh5/4PLf/wCKrT2kgOH/AOCTP7Lf iz9kL9lo+E/GUNlDrH9q3F3ttbgTx+W+3b82Bzx0r6drnPhj8XfC/wAafDn9seEfEGk+JNL8xoft enXK3EO9eq7lJGRxkds0/wCJXxV8NfBvwxJrXivXdL8O6RG6xPeahcLbwKzHCguxAyTwB3qHqwOg r8Pf+DgX/k/s/wDYtWP/AKFNX6u/8PEfgR/0V74ef+Dy3/8Aiq/ID/gtv8XPC/xq/bX/ALZ8I6/p PiTSf7As7f7Zp1ytxD5itKWXcpIyMjI96unuB8h13X7LP/JzPw5/7GjTP/SuKuFrsP2dNZtfDf7Q XgPUL+4hs7Gw8Rafc3M8rbY4Y0uY2Z2PYAAkmtgP6cKK8a/4eI/Aj/or3w8/8Hlv/wDFUf8ADxH4 Ef8ARXvh5/4PLf8A+KrmswPZaK5P4T/HfwX8dtOurzwX4o0PxTa2MghuJdMvEuUhcjIVipIBwc4N dYTtGaQBRXjk/wDwUL+BdtM8cnxc+HqSRsVZW1y3BUjgj71N/wCHiPwI/wCivfDz/wAHlv8A/FU7 MD2WivGv+HiPwI/6K98PP/B5b/8AxVH/AA8R+BH/AEV74ef+Dy3/APiqLMD2WivGv+HiPwI/6K98 PP8AweW//wAVWp4a/bd+DfjG8W30v4qfD2+upDhIIvEFq0zn2TfuP4ClZgeo0U2GdLiMNGyyKwBD Kcgg806gArkfj9/yQ3xh/wBga7/9EtXXVyPx+/5Ib4w/7A13/wCiWoA/mNooorrA/UP/AINo/wDk P/GL/rhpH/oV5X6u1+UX/BtH/wAh/wCMX/XDSP8A0K8r9Xa5p7gFFFFSAUUUUAFFFFABRRRQAUUU UAQ6jptvrGn3FpeW8N1a3UbQzQzIHjmRhhlZTwVIJBB4Ir8i/wDgqF/wS9uP2c7+68d+BLSa68B3 Um68s0y8mgOx/M25JwrH7pIVuxP69VBqOmW+r6fPaXcEN1a3UbRTQyoHjmRhhlZTwVIJBB4INe5k WfYjK8R7WlrF/FHo1/n2f6Hm5nllLG0uSe/R9v8Agd0fzZd6K+2v+CoH/BLy5/Z11G88deA7Oa68 B3T77yzQGSTQHJ/M25J4Y8p0bsT8S1++ZZmdDH0FiMO7p/en2fn/AFsfl+MwdXDVXSqrX8/NBRRR XoHKFangnxtq3w48W6fr2g6hc6VrGlzLcWl3bvtkhcdwf0IPBBIIIOKy6KmUVJcsldMabTuj9sf+ Ccf/AAUd0n9srwmuj6w1rpfxC0qEG9sgdseooODcQA9v7ydUJ7qQa9b/AGo/2W/Cv7W3wsuvC/ii 13I2ZLK9jA+0abPjCyxMe/Yg8MMg8V+A/gjxrq3w38W6fr2g6hdaVrGlzLcWt1bvtkhcdCD+hB4I JBBBxX7Of8E4/wDgo/pP7ZPhJdH1hrXSviFpcIN5ZA7I9RQdbiAHt/eTkoT3XBr8d4o4Yq5bV/tD LrqCd9N4P/5H8tnoff5NnUMZD6pi/i212kv8/wAz8nf2sP2UPFX7IHxTuPDPiW33I2ZdP1CJT9n1 ODOBJGT0PQMp5U8HggnzGv6DP2o/2XPCv7W/wsuvC/ii13RtmWyvYwPtGmz4wssbHuOhB4YZB4r8 3/gB/wAES/GGqftH6hpPjthaeBfD8yyPqVq+Dr8Z5SODumR98nlOQMkg19RknG+Fr4SU8bJRnBa/ 3vOPm+36Hi5lw3Wp11HDrmjJ6eXr/n+p53/wTd/4Juar+2N4nXXNcW60v4d6XNturpfkk1SRetvA f/Q36L0HzHj9mPBngvSfh34U0/Q9D0+20vSNLhW3tbW3TZHCg6AD9STySSTkmneDvB2l/D7wvYaJ olhbaXpOlwrb2trboEjgReAAP8knnrWlX5nxBxDXzSvzT0gvhj2833bPscqyqngqfLHWT3f9dAoo or589UKKKKACiiigAooooAK+df8Agoh+3ppP7FfwwYwNb6h421qNk0bTmOQnY3Mw6iJD26uw2j+J l2P25P25/DX7FPw3bUNQaPUvEmooy6Po6SYku3HG9+6QqfvN+AyTX4j/ABo+M/iL9oD4kal4r8U6 hJqOsapJvkc8JEo4WONeioo4CjoPxNfccI8Kyx81isSrUl/5M+y8u7+S62+bz7O1hY+xov33+Hn6 9vv9cfxl4w1T4heKtQ1zWr641LVtVne5u7qZt0k8jHJY/wCA4HQVm0UV+3Rioq0dj84bbd2FFFFU IKKKKACvsr/gir+zI3xi/aa/4TC+t9+h/D5FvAWX5Zb59wt1/wCAYeXI6GNPWvj7R9HuvEOrWthY 2813e30yW9vBEu6SaR2CqqjuSSAB71+8v7Bv7Ldv+yL+zdovhYrC2syj7frU6cia8kA34PdUAWNT 3WMHqTXxvG2cLB4B0oP36mi8l9p/dp6s+g4cy94jFKpJe7DV+vRfr8j2bFFFFfhJ+mBRRRQAUUUU AFfnv/wcdf8AJoXg3/scIf8A0iu6/Qivz3/4OOv+TQvBv/Y4Q/8ApFd1UdwPxnooorpA/Qr/AINx /wDk7Xxn/wBim/8A6V21fstX40/8G4//ACdr4z/7FN//AErtq/ZauepuAUUUVABXyb/wWl/Z7h+O v7CHie7jtxJq3gjb4is3AGUWHP2gE9dv2dpTjpuVSenH1lWP8QvCFv8AEHwFrWg3n/HprVhPYz/7 ksZRv0Y01owP5d6KfdW8lldyQSqUlhYo6nqpBwR+dMrqAMV/Rt/wTl+IX/C0P2F/hbq7M0kx8PWt nM5OTJLAnkSMfctGxPvmv5ya/eT/AIIZ+IhrX/BN/wAHW+7c2k3mo2re2b2aUfpIKyqbAdJ/wWF/ 5Ry/Er/r0t//AEqhr+ffFf0Ef8Fhf+UcvxK/69Lf/wBKoa/n3p09gDFftJ/wbmf8mR+Kf+x4u/8A 0g0+vxbr9pP+Dcz/AJMj8U/9jxd/+kGn0VNgPvygtgUV+c3/AAXb/wCCg138HvCcHwj8H6g1r4g8 TWpn127gkxJZWDZUQKR915sNnoRGp4/eAjGKu7AVv+Ch3/Bdux+FGsah4N+D8en69rVqzW954hnH m2Fm4yCsCg/v3B/jJ8sEDiQE4/Ln41ftK+Pv2i9aa/8AG/i7XfEkzOZFS7uWMEBPJ8uEYjjHsige 1cPiit4xSAMUYpM0bqsBcUYopM0gFxRiiimB/SR+wb/yY/8AB3/sSdG/9IYa8r/4LaD/AI1mfEj/ AHtL/wDTpaV6p+wb/wAmP/B3/sSdG/8ASGGvLP8Agtn/AMozPiR/vaX/AOnS0rmXxAfgVijFFFdI H7ff8G/X/Jh5/wCw/ef+yVpf8F6+P+Ce2r/9hew/9HCs3/g36/5MPP8A2H7z/wBkrS/4L18/8E9t X/7C9h/6OFYfbA/C/FGKKTNbALSbaWkzTAXFGKM4ooA/Xz/g255+BfxE/wCw9F/6TrX6RTf6pvoa /N3/AINuP+SFfET/ALD0X/pOtfpFN/qm+hrmn8QH8t/iznxXqX/X1L/6Gao4q94s/wCRr1L/AK+5 f/QzVGugAxRiiimAYo203dTs0Aewfsuft6fFL9kDXLe48H+J7yLTY5N8ujXjtcaZdDPIaEnCk9Ny bX9GFftx/wAE8v8Agol4X/b4+HEl1YxjR/Fmjqq6xoskod4CeksTceZC2DhsAggggcE/zzbeK9R/ Yy/ag1b9j79orw9440uSZo7CcRalao2Pt9k5AmhIPGSvKk5CuqNjKiolFNAf0oVyPx+/5Ib4w/7A 13/6Jat7wr4nsfGvhjTtY024ju9N1a2jvLWdPuzRSKHRx7FSCPrWD8fv+SG+MP8AsDXf/olq5wP5 jaKKK6wP1D/4No/+Q/8AGL/rhpH/AKFeV+rtflF/wbR/8h/4xf8AXDSP/Qryv1drmnuAUUUVIBRR RQAUUUUAFFFFABRRRQAUUUUAQ3+nW+q2M1rdQxXNrcxtFNDKgeOVGGGVlPBBBIIPBFfkf/wVD/4J eT/s8X13498BWk1z4EuZN99YoC8mgOx/M25J4bqmcHjBP67VDf6db6rYzWt1DFc21zG0U0MqB45U YYZWU8EEEgg8EGvbyLPa+V4j2tLWL+KPRr/Ps/0uebmWW0sbS5J79H2/4HdH82NFfb3/AAVD/wCC Xk/7PF9d+PfAVpNc+BLmTffWKAvJoDsfzNuSeG6pnB4wT8Q1++5ZmdDH4dYjDu6f3p9n5/1sfl+M wdXC1XSqrX8/NBRRRXoHKFangzxpq3w78Vafrmh6hdaXq2lzLcWt1bvtkhcdCD+hHQjIOQay6KmU VJcsthqTTuj9rv8Agm//AMFH9K/bI8KLoutNa6X8Q9Lhzd2gO2PU0HBuIB/6EnVSe6kGvqQnmv5w fBnjPVvh34rsNc0PULrS9X0uZbi1urd9skLr0IP8weCMg8Gv2U/4Jyf8FLdG/bA8PQ6Br0lro/xE sYv39qDsi1ZVHM1vnvxlo+q8kZXp+M8XcISwbeMwavT6r+X/AO1/I/Qchz5V0sPiH7/R9/8Ag/mf VlFGaK/Pz6oKKKKACiiigAoopC2BQAZr53/b0/4KIeGP2K/CZg/ca1421CItp2jJJ9wHgTXBHKRA /wDAnIwvRmXx39v3/gsVovwbivfCvwxns/EXiwBobjVRiXT9JbodvaaUeg+RT1LEFK/Kjxh4y1X4 g+KL7Wtc1C71XVtSlM91d3Mhklnc9yT+XoAAOlfoXDPBNTEtYnHpxp9I7OXr2X4v8T5TOOIoUU6O Fd5dX0X+b/A1/jN8Z/Enx/8AiJqHinxXqU2qaxqTZeR+FiUfdjjXoiKOAo4H5muWoor9jp0404qE FZLRJbI+AlKUpOUndsKKKKskKKKKACiivaf2FP2OtW/bP+N1r4ftfOtdCsdt1reoqvFnbZ6KenmS EFUBzzk4wrVz4rFU8PSlXrO0Yq7ZpRozqzVOmrt7H1D/AMESf2JG8W+KG+L3iSzP9l6PI0Hh2KVe Lm6HyyXOD1WLlVPPzkngx1+pWKyfA/gjS/hv4P03QNEs4tP0nR7ZLS0toh8sUaDAHv7k8k5J5Na1 fzvn2cVMyxcsTPbaK7Lp/m/M/WMsy+ODoKlHfdvuwooorxz0AooooAKKKKACvz3/AODjr/k0Lwb/ ANjhD/6RXdfoRX57/wDBx1/yaF4N/wCxwh/9IruqjuB+M9FFFdIH6Ff8G4//ACdr4z/7FN//AErt q/Zavxp/4Nx/+TtfGf8A2Kb/APpXbV+y1c9TcAoooqACo7pd9tIPVT/KpKjuVMlvIo+8ykCgD+Yb 4z2a2Hxg8WW6DCw6zeRqB2Amcf0rnK1/iJrK+IviDr2oRtujv9QuLhSO4eRm/rWRXUAV+3v/AAb8 3DTfsHMp6Q+IbxR+UZ/rX4hV+43/AAQG0xrL9gK1mZSq3muX0iH+8Ayp/NSKmpsB6F/wWF/5Ry/E r/r0t/8A0qhr+fev6CP+Cwv/ACjl+JX/AF6W/wD6VQ1/PvSp7AFftJ/wbmf8mR+Kf+x4u/8A0g0+ vxbr9pP+Dcz/AJMj8U/9jxd/+kGn0VNgPvbUL+LS7Ga5nkjhht0Mkju21UUDJJPYACv5o/2qfjpe ftLftFeMPHN40rN4i1KW4gWQ5aC3B2QRf8AiWNP+A1++3/BR7x83w0/YU+KmqIzLMfDt1ZwupwY5 J0MCMPcNICPcV/OXilS7gFOtLaa/uo4II5JppnCRxxqWaRicAADkkkgYFNr7X/4IP/s4Wvxs/bLH iDVLcXGl/D2y/tZVZdyG9Zgltn0KnzJVPZoVrSUrK4Hvv7EX/Bv1pupeEbHxF8aL7UhqF6izJ4b0 6YQraqcHbcTAFmcg8rGV2kfebt9V23/BGH9mm1hWMfDOBtvd9a1JmP4m4r6horn5mB8w/wDDmn9m n/omNr/4ONR/+SK+Ev8AguL+xL8Lv2TfBPgO6+HvhOHw7caxfXMV5Il7c3BmRY1KjE0jgYJPQDrX 7F1+ZH/Byd/yTv4Y/wDYSu//AEUlOMncD8lqKKK6AP6SP2Df+TH/AIO/9iTo3/pDDXln/BbP/lGZ 8SP97S//AE6Wlep/sG/8mP8Awd/7EnRv/SGGvLP+C2f/ACjM+JH+9pf/AKdLSuaPxAfgVRRRXSB+ 33/Bv1/yYef+w/ef+yV9neLvBGj+P9HbT9c0vT9YsGYOba9t1nhZhyCVYEEivjH/AIN+v+TDz/2H 7z/2SvuKuaXxAcB/wyl8Mf8Aonngr/wS2/8A8RX4z/8ABdbwNovw+/bk/s/QdJ03RbEeHbKT7PY2 yW8W4tNltqADJwOevFfuvX4e/wDBwL/yf2f+xasf/QpqqnuB8Q12n7M9jBqn7Rvw/trqGK4t7nxJ p0UsUqB45Ua6jDKwPBBBIIPBFcXXdfss/wDJzPw5/wCxo0z/ANK4q2A/ooP7KfwxJ/5J54K/8Etv /wDEUn/DKXwx/wCieeCv/BLb/wDxFd/RXKBh+Cfhn4d+GttND4d0LSdDhuWDyx2FolusjAYyQgAJ xxmttl3jB78GlooA4F/2V/hnK7M3w+8FszHJJ0a3JJ/74pP+GUvhj/0TzwV/4Jbf/wCIrvZZVhQs 7KqrySxwBXh3xL/4KXfAf4SX7WutfE/wutxGSskVlcHUJISOqutuHKt7EZp6gdp/wyl8Mf8Aonng r/wS2/8A8RR/wyl8Mf8Aonngr/wS2/8A8RXjh/4LRfszj/mp0P8A4I9T/wDkam/8PpP2Zv8Aop0P /gi1P/5Gp8rA9W8SfsU/CDxdpc1nqXwx8B3UMylTu0O23rnurBNyn3UgivyJ/wCCxH/BMnT/ANiv xDpfi7wUtwPAXia5a0+yTO0raNd7S6wiRslo3RXKbiWHluCTwT+kH/D6T9mb/op0P/gi1P8A+Rq+ bf8AgrL/AMFFPgL+1H+xVr3hnwp42i1zxQt5ZXem2o0m+gLMlwgkIeWFUGIWlPLDPQZJwajzJgfk rSbaWitwP6Av+CN/xCm+I3/BOn4dz3U7T3WlwXGkvk52Jb3EsUS/hCsVe4fH7/khvjD/ALA13/6J avk//ggBO037A8at92HXr1R7cof619YfH7/khvjD/sDXf/olq5pfEB/MbRRRXSB+of8AwbR/8h/4 xf8AXDSP/Qryv1dr8ov+DaP/AJD/AMYv+uGkf+hXlfq7XNPcAoooqQCiiigAooooAKKKKACiiigA ooooAKKKKAIb/TrfVbGa1uoYrm2uY2imhlQPHKjDDKyngggkEHgg1+SP/BUL/glxN+z5d3nj3wBa zXPga4cyX9ggLyaCzHqO5tyTgHqnQ8YNfrpUN7YQ6nZTW1zDFcW9whililQOkqMMFWB4IIJBB4Ir 2sizzEZXX9rS1i/ij0a/z7Pp6XR5uZZbSxtLknv0fb/gd0fzY9qK+4v+Cov/AAS7m/Z/vrzx94Bs 5bjwPcP5l/YRgu+gux6jubck8Hqh4PGDXw72r9+yzNKGPoLEYd3T+9Ps/P8ArY/L8Zg6uFqulVWv 5+aCiiivQOUKtaHrl74Z1m11HTby6sNQspVnt7m3lMc0EinKsrLgqwIyCOaq0UNJqzDbU/Tv9hf/ AILY2eq21n4X+MTCyvVCwweJYYv3M/Yfao1HyN/00QbTnlVwWP6G+H/EWn+LNFttS0u+s9S0+8QS QXVrMs0MynoyupIYe4Nfzb16N8Bf2tfiL+zLqBm8F+KtS0eGR98tmGE1nOfV4HBjJxxu27h2Ir87 zvgCjiJOtgWqcn9l/D8uq/Fdkj6zLeKKlJKniVzLv1/4J/Qbmlr8svhd/wAF/wDxVpFtHD4w8B6L rjKArXGmXj2Dkf3ijrKpP0Kj6V6fa/8ABwJ4Fe2zN4D8WRzY+6k9u65/3iw/lXwlbgvOKcreyv5p p/rc+mp8RYCavz29U/8AI+/qQnFfmv46/wCDg4fZ3j8M/DU+cR8k+p6t8q/WKOPJ/wC+xXzN8cf+ Csnxs+OEE1q/iVfC+mzZDWnh+I2YIPYy5ab6jzMH0rrwfAeaVn+9Sprzaf4K/wCNjnxHFGCpr3G5 PyX+dj9Xv2mf29Phn+yfZSr4o8QQyawqbo9GsMXOoS9xmMHEYPZpCin1r8vP20P+Cs/j39qaK60T SS3gzwbNlGsbOYm6vk6YuJhglT3jQKuDg78A18rXNzJeXMk00kk00rF3d23M7Hkkk9SfWo6/RMl4 LwOAaqT/AHk+72Xounzu/M+TzHiHE4pOEfdj2W79X/wwUUUV9geCFFFFABRRRQAUUVseAfAWsfFH xlpvh/w/p9xqus6tMtva2sC7nlc/oABkknAABJIAJqZSUU5Sdkhxi27I0/gn8FvEP7QfxM0vwn4X sWvtY1aXZGvSOFRy0sjfwxoMlj6DucA/un+x1+yboH7HXwZsvC+jKtxdtifVNRKbZdSuSAGkPoo+ 6q/wqB1OSeJ/4J4/sCaP+xR8ON1x9n1LxxrUanV9SUZWMdRbQk8iJT1PBdhuPAVV+i9tfh/GHFDz Cp9Ww7/dRf8A4E+/p2+/0/R8hyX6rD21X43+C7evf7haKKK+JPpAooooAKKKKACiiigAr89/+Djr /k0Lwb/2OEP/AKRXdfoRX57/APBx1/yaF4N/7HCH/wBIruqjuB+M9FFFdIH6Ff8ABuP/AMna+M/+ xTf/ANK7av2Wr8af+Dcf/k7Xxn/2Kb/+ldtX7LVz1NwCiiioAK8//as+KKfBb9mnx54qaZYJNB0O 7u4Sx+9KsLGNR/tM+1R7kV6Bmvzo/wCDhL9q+38EfA/S/hRpt0p1jxlNHf6nGp5h0+B9yBu48ydF 2kdRBID2qoq7A/HbbRRRXSAV+/n/AARg8Nt4Z/4JufDqORSk10l7ePxjIlvZ3Q/9+ylfgGitIyqo 3MxwABkk1/TL+zB8M2+DH7OPgTwnJGsc/h3QbLT5wO8scKK7fUsGJ9zWVR6AeRf8Fhf+UcvxK/69 Lf8A9Koa/n3r+gj/AILC/wDKOX4lf9elv/6VQ1/PvTp7AFftJ/wbmf8AJkfin/seLv8A9INPr8W6 /aT/AINzP+TI/FP/AGPF3/6QafRU2A9T/wCC1101p/wTN+JO1irSf2YmR6HU7TP5jI/GvwIr+gH/ AILL6S+t/wDBNf4mQRj51hspxx0EV/bSt/46hr+f6insAV+r3/BtVpccHhn4tXgVfMuLrTYCe4WN Lhh/6NNflDX6kf8ABtZ4zto7/wCLHh+WRVupU06/to+7opuElP4Fov8AvqnU+ED9WKKKK5wCvzI/ 4OTv+Sd/DH/sJXf/AKKSv03r8yP+Dk7/AJJ38Mf+wld/+ikqo7gfktRRRXSB/SR+wb/yY/8AB3/s SdG/9IYa8s/4LZ/8ozPiR/vaX/6dLSvU/wBg3/kx/wCDv/Yk6N/6Qw15Z/wWz/5RmfEj/e0v/wBO lpXNH4gPwKooorpA/b7/AIN+v+TDz/2H7z/2SvuKvh3/AIN+v+TDz/2H7z/2SvuKuaW4BX4e/wDB wL/yf2f+xasf/Qpq/cKvw9/4OBf+T+z/ANi1Y/8AoU1VT3A+Ia7r9ln/AJOZ+HP/AGNGmf8ApXFX C13X7LPH7Tfw4H/U0aZ/6VxVsB/TNRRRXKAVl+NfGel/Dvwhqeva1eQ6dpGj2sl5eXUp+S3ijUs7 HvgAE8c1qV+ef/Bw/wDtC3Xw/wD2dfDXgKwmaGXx5fvNelW+/aWmxzGR23TSQHPcRsOeacVd2A+G v+Civ/BVXxl+2j4u1DStJvr7w78N4ZGis9JhkMT6ggPEt2VPzs2ARHkonAG5gXb5P20uKK6VoAYo roPAXwk8WfFW4kh8L+GPEPiSWH/WJpWnTXjJ9RGpI/Gus/4Yt+Mn/RJPid/4S99/8aoA8zoxXpn/ AAxb8ZP+iSfE7/wl77/41WX4y/Zk+JXw58O3GseIfh5440HSbUqJ73UdBurW3h3MEXdJIgVcswUZ PJIHei6A4eiiimB+4H/Bv5/yYZ/3MF7/ACjr6y+P3/JDfGH/AGBrv/0S1fJv/Bv5/wAmGf8AcwXv 8o6+svj9/wAkN8Yf9ga7/wDRLVzS+ID+Y2iiiukD9Q/+DaP/AJD/AMYv+uGkf+hXlfq7X5Rf8G0f /If+MX/XDSP/AEK8r9Xa5p7gFFFFSAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAQ3thDqdlN bXMMVxb3CGKWKVA6SowwVYHgggkEHgivyT/4Kif8EuLj4A3154++H9nNc+B7hzLf2EYLyaCxPLDu bcnoeqdDxg1+uVR3llDqNnLb3EUdxbzoY5Y5FDJIpGCpB4IIOCDXtZHnmIyyv7WlrF/FHo1+j7Pp 6XR5uZZbSxtLkqb9H1X/AAO6P5r6K+5v+Co3/BLiX4C3l58QPh/ZyT+CbhzLqOnRAs+hMT95R1Nu T3/5Z9D8uCPhmv37K80oY/DrEYd3T+9Ps/P+tj8vxmDq4Wq6VVa/mu6CiiivQOUKKKKACiiigAoo ooAKKKKACiiigAooooAKKK6z4K/BHxN+0L8QrHwv4S0ufVtXvjwiDCQoMbpJG6JGueWPHQdSBWdS pCnFzqOyWrb2RUYylJRirtmX4B8Aa18UvGWn+H/D2m3WrazqsogtbW3Xc8rH9AAMkk4AAJJABNfs 7/wTn/4Jz6P+xf4Q/tTU/s2rfEDVoQt/fKN0dihwTbQE8hQcbn4LkdgABp/sC/8ABPHw3+xT4R89 vI1rxxqUQXUtXKcRg8mC3B5SIHqeGcjLYAVV+jCM1+McWcXSxzeEwjtS6vrL/geXXr2P0LI8hWGt Xr6z6Lt/wRNtLRRXwR9QFFFFABRRRQAUUUUAFFFFABX57/8ABx1/yaF4N/7HCH/0iu6/Qivz3/4O Ov8Ak0Lwb/2OEP8A6RXdVHcD8Z6KKK6QPvj/AIN6vF+k+Df2qPGFxrGqafpdvJ4VeNJLu4SFWb7X bHALEZPU4HpX6+f8L78D/wDQ4eF//BpD/wDFV/MXijFZShd3A/p0/wCF9+B/+hw8L/8Ag0h/+Kqr qn7Sfw80O1ae88deD7OBRlpZ9Yt40UepYuAPxr+ZXFGKPZ+YH7kfte/8Fx/hP8B9AvLTwZqEPxE8 V7WS3h05i2nQv2eW5+4yDriIuTjHy53D8Y/jj8bPEn7RfxS1fxj4s1B9S1zWpvNmkPCRgDCxov8A CiKAqr2AHWuS20tVGKQBRRSZqwPfv+CYP7Pkn7Sf7bvgbQ2t/O0zT71da1TKloxbWpEpV8fwu4SL PrKPrX9EYXaoA4A6V8B/8EF/2LJvgh8DLv4ka9Ztb+IviBGhsUlTElrpi/NGeeR5zHzD1BRYTwci vvyuecrsD5n/AOCwv/KOX4lf9elv/wClUNfz71/QR/wWF/5Ry/Er/r0t/wD0qhr+fetKewBX7Sf8 G5n/ACZH4p/7Hi7/APSDT6/Fuv2k/wCDcz/kyPxT/wBjxd/+kGn0VNgPrr9rL4YSfGn9mL4geE4I VmuvEHh+9srVT2neFxEfwfafwr+aE5UkEcjr7V/U+V3DB6Hiv57/APgq1+y1P+yt+2b4n0+G3MOg eI5m13RnVdsfkTsWaJfTypN6AZztVSfvCppvoB84V71/wTU/a5X9i/8Aay0PxXeNL/wj94raVrix gljZzFdzgDJPluscmByfLx3rwWjbWr1A/qS8OeJLDxfoFnqml3lvqGnahClxbXNvIJIp43AZXVhk FSCCCOCDV6v54v2RP+Cn/wAWv2MbFdM8Ma1b6l4cVy40TWImurKNiSSY8MskeSSSI3VSSSQTzX0t B/wcg/ERYV8zwD4RaQD5mW4nVSfYZP8AM1j7N9AP2Hr8yf8Ag5OGfh18Mf8AsJXf/opK8x/4iQvi D/0T7wn/AOBU9fPv7fX/AAU68Rft/eHvDun654b0fQ18O3EtxHJZTSO0xkVVwd3HGO3rRGDTuB8y 0UUVuB/SR+wb/wAmP/B3/sSdG/8ASGGvLP8Agtn/AMozPiR/vaX/AOnS0r1P9g3/AJMf+Dv/AGJO jf8ApDDXln/BbP8A5RmfEj/e0v8A9OlpXNH4gPwKooorpA/b7/g36/5MPP8A2H7z/wBkr7ir4d/4 N+v+TDz/ANh+8/8AZK+4q5pbgFfh7/wcDHH7ff8A3LVj/wChTV+4Vfin/wAHEmgPp37bmhX21vJ1 LwlasH7b0ubpWX6gBD/wIVVPcD4Lrpvgl4lg8GfGbwjrFy/l2+k61Z3krnoqRzo5P4AGuZoxWwH9 T0MvnQo4/iAI5p1fjH+xn/wXw8TfAT4c6d4S8c+GV8aafo8KWtlqUF59mvooUGFSQMrLNhQFDZQ4 HzFjkn6AT/g5F+HJQbvh942DY5AmtSP/AEOufkYH6OV+Nv8AwceatNL+1P4IsGYmC38LC5ReytJd Tq36RLX6L/sF/t+aD+334O1zWtA0PWNDh0G8Wylj1Bo2aRmQOCuwkYwe9fA//ByR8PprH4rfDXxU F3W+paXdaWzAf6toJVkAP1+0MR/un0qoaSA/NKpLC3+230MO5U86RU3HouTjJqOjbW4H9PXwf+EX h/4FfDjSPCvhjTbfS9H0a2W3t4oowpIAALtgfM7H5mY8sxJOSSa6avyY/Zo/4OJ7jwf4A03RviN4 LvNc1DTYEt21fTLxVkvgqhQ0kUgAEhxlmD4Yk4VRxXpv/ESJ8OP+ifeN/wDv7a//ABdc/JID9Gq+ U/8AgtoP+NZnxH/3tL/9OlpXiP8AxEifDj/on3jf/v7a/wDxdeN/t/f8FsfBX7Xf7Jvin4e6P4P8 UaXqGvG0MV1eSQGGLybuGdshXJ5WIgYHUinGLuFz83aKKK3A/cD/AIN/P+TDP+5gvf5R19ZfH7/k hvjD/sDXf/olq+Tf+Dfz/kwz/uYL3+UdfWXx+/5Ib4w/7A13/wCiWrml8QH8xtFFFdIH6h/8G0f/ ACH/AIxf9cNI/wDQryv1dr8ov+DaP/kP/GL/AK4aR/6FeV+rtc09wCiiipAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigCK8sodRs5be4ijnt50McsUihkkUjBVgeCCDgg1+Un/BTb/gk/df CK41Dx/8M7GW78JtuuNT0eEF5dF7tJEOrW/cjrH7pyv6wUhQMMHkdOa9nJM8xGWV/a0Ho949Gv8A Ps+n4Hn5lltLGUvZ1N+j6r+uqP5rKK/VD/goL/wRss/iJNfeMfhLBa6Xrcm6a88P5ENpft1LW54W KQ/3DhG7FDnd+X/inwrqfgfxDd6TrOn3ml6pYSGK5tLqFoZoHHVWVgCDX7rk2fYXM6XtMO9esXuv +B57H5nmGW18HPlqrTo+j/rsZ9FFFe0eeFFFFABRRRQAUUUUAFFFFABRVrRtGvPEeq29jp9pdX19 dyCKC3t4mlmmc8BVVQSxPoBmv0C/Yj/4Ik6l4pez8SfF9ptJ03iWLw5BJtvLkdR9okU/uVPdFJfk gmMjFeXmmcYTL6XtcVK3ZdX6L+l3Z2YLL6+LnyUVfz6L1Z8u/scfsI+Nv2z/ABX9n0G1/s/QbWQL qGuXSH7JaDqVXp5kuOka88gkqDur9lP2T/2PfBn7HngFdF8LWObq4CtqOqXADXmpOP4nbso52ouF XJwMkk+heDPBGj/DrwxZ6LoOm2ekaTp8Yit7S0iEUUS+gUfmT1JJJ5rU21+K8RcVYnM5ezXu0uke /nJ9fTZfifouU5HRwa5n70+/+X9XDFFFFfKnthRRRQAUUUUAFFFFABRRRQAUUUUAFfnv/wAHHX/J oXg3/scIf/SK7r9CK+If+C7vwM8YfHz9mLwrpXgzw9qXiTUrTxRHdzW9lF5kkcQtLlS5HpudR/wI VUdwPw9or27/AIds/Hj/AKJX4w/8A/8A69H/AA7Z+PH/AESvxh/4B/8A166OZdwPEaK9u/4ds/Hj /olfjD/wD/8Ar0f8O2fjx/0Svxh/4B//AF6OZdwPEaK9u/4ds/Hj/olfjD/wD/8Ar0f8O2fjx/0S vxh/4B//AF6OZdwPEaK960n/AIJfftA61OscHwr8UbmOB5saQj8S7AD8a9W+Fv8AwQX+P/jy9VdY 03w/4Nt/vNJqeqxzNt/2VtvN+b2Yr7kUcyA+Ld1fen/BJf8A4JLal+0n4k074g/EHTprH4c2Mi3F nZ3CFJPErg5UAHkWwP3n/j+6ucsy/Y37In/BB/4Y/ATUbXWvGlzJ8SNetmEkcd5biHS4GGCCLbLe YRyP3rMpGDsU19ywW8drCscaLHHGAqqowFHpWcqnYAt7eO0gSKJFjjjUKqqMKoHQAU+iisQPmf8A 4LC/8o5fiV/16W//AKVQ1/PvX9EH/BUf4f638U/2FPH2geHdMutY1rUreBLaztk3SzkXETEKPZQT +Ffib/w7Z+PH/RK/GH/gH/8AXram9APEa/aT/g3M/wCTI/FP/Y8Xf/pBp9fmT/w7Z+PH/RK/GH/g H/8AXr9X/wDghT8EvFvwE/ZI8RaP4y8P6l4c1S48X3N7FbXsflyPC1lZIsgH90tG4z6qaKjugPtO vnT/AIKVfsE6b+3j8DW0pZIdP8XaGXu9A1GQfLDKQN8MmAT5UoChscgqjYbbtP0XRWIH8v8A8Vfh X4i+CPj7UvC/irSbrRdd0mUxXNrcLhlPUMD0ZWGCrKSrAggkEGufr+jz9rr9g/4b/tr+GksvGuje Zf2qFLLV7NhDqFiCc4STByvJOxwyEnO3OCPzT+PP/Bu38RvCV7PceAfE2g+LtNHzR298W0++Gf4R 96JsdNxdM9do6DojUT3A/O/bRivovxP/AMElf2ivCM/l3fwu1mT/AGrS5trtT+MUrCsL/h2z8eP+ iV+MP/AP/wCvVcyA8RxRivbv+HbPx4/6JX4w/wDAP/69cb8Yv2XfiH+z7YWN1418Ia14at9SkaK1 kvoPLWd1ALKp9QCKLoDg6KKKYH9JH7Bv/Jj/AMHf+xJ0b/0hhryz/gtn/wAozPiR/vaX/wCnS0r1 P9g3/kx/4O/9iTo3/pDDXD/8FbPhtr3xf/4J/wDjvw74Z0q81rXNQbTvs1lapvmm2ajbSPtHsiMx 9lNcy+ID+e+ivbv+HbPx4/6JX4w/8A//AK9H/Dtn48f9Er8Yf+Af/wBeujmXcD9UP+Dfr/kw8/8A YfvP/ZK+4q+Qf+CJ3we8UfA/9jhtD8XaHqHh/VhrV1P9lvI/Lk2Nt2tj0ODX19XPLcAr86P+Dh79 mi68f/BHw18R9Lt2mm8EXElpqYjTLfY7koBKx7iOVEGB0EzHoDj9F6o+JfDdh4x8PX2k6paQX+m6 lA9rdW06B47iJ1KujKeCpUkEHgg0ouzuB/LZupa/Sr9sT/g3w8TaN4lvNX+DeoWWsaLcOZE0PUrn yLyzJP8Aq4pm+SVB2MjIwGAS5y1fLfiT/gk/+0R4UnaO7+FuuMy97aa3ul/76ikYfrXSpJgfPOKN te3f8O2fjx/0Svxh/wCAf/16P+HbPx4/6JX4w/8AAP8A+vRzID9Dv+Dbj/khfxE/7D0X/pOtfSH/ AAVZ/Y+m/bI/ZK1XR9LhWTxRoMo1nRAcAzTxqwaHP/TSNnQZIG8oScLXj3/BBn4A+NPgB8H/ABzY +NPDeqeG7y/1mKe3ivovLaVBAq7gPTIIr71xWEn710B/LHeWk2nXk1vcQyQXFu5jlikQq8bA4KsD yCCMEHpUdfuF/wAFDf8Agi14V/a71688YeEr6HwZ46uvnumMO7T9Xf8AvTIvzRyHjMiZzyWRycj8 5fiT/wAEXv2ifhzfTKvgdfEFpCxVbvSNQguI5cd1RmWXH+9GK1VRMD5X20V7e/8AwTX+PSNt/wCF V+Lsj/p0z/Wk/wCHbPx4/wCiV+MP/AP/AOvVcy7geI0ba9u/4ds/Hj/olfjD/wAA/wD69H/Dtn48 f9Er8Yf+Af8A9ejmQHiNFe3f8O2fjx/0Svxh/wCAf/16P+HbPx4/6JX4w/8AAP8A+vRzLuB+qX/B v5/yYZ/3MF7/ACjr6y+P3/JDfGH/AGBrv/0S1fOP/BFD4P8Aij4H/sa/2J4u0PUPD+rf23dTm1vI 9kmxtm1sehwa+lfjVplxrXwf8UWdrC891daVcwxRoMtI7RMAB9Sa55fEB/MNRXt3/Dtn48f9Er8Y f+Af/wBej/h2z8eP+iV+MP8AwD/+vXRzLuB9q/8ABtH/AMh/4xf9cNI/9CvK/V2vzb/4IDfsz+Pv 2etb+KT+NvCmseGV1aDTBZm+h8v7QY2ut+31270z/vCv0krnnuAUUUVIBRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABivG/wBq/wDYX+Hv7YWieV4p0rytWhjKWms2WIb619BvwQ6f 7Dhl5OADzXslGK2w+Jq4eoqtCTjJbNaGdajCrBwqJNPoz8Wv2qf+CQPxQ/Z6luNQ0Szbx54bjJZb vSoWN3Cv/TW25ccZJMe9QBkkdK+UpoWt5WjkVo5EYqysMFSOoIr+lLFeT/Hr9hz4V/tKiSTxZ4P0 u81CT/mI26m1vs9iZoyrNj0csPav0jKvESpBKGPhzf3o6P5rb7mvQ+Rx3CcZPmwsreT2+/f8z8A6 K/UH4sf8G/8AoeoSyz+CfHupaXzlLTWLNbtfp5sZjKge6Mf514R4x/4IY/Grw7K/9nTeENfjHKG1 1JoWYe4mjQA/iR719rheL8prrSsovtK6/PT8T52tkOOpvWm36a/kfGtFfS13/wAEgP2hrWXaPACz L2aPW9OIP5zg/pVzSP8Agjb+0FqThZvB9jp4JxuuNbsmA/79ysa73n2WJX+sQ/8AAo/5nL/ZeMen spf+Av8AyPl2ivurwN/wQP8AidrMitr3ijwfocDdRA897Mv/AAHYi/k9fQXwk/4INfDXwnJFP4s8 QeIvF80f3oUK6baSeuVQtL+Uory8VxplFBfxOZ9opv8AHRfidtDh3HVPsWXm7f8AB/A/J3RNCvvE uqwWGm2d1qF9dMEht7aJppZm9FVQSx9gK+wf2Y/+CKnxM+MUlvf+MDH8P9DbDFbtPO1KVfRYARs9 P3rKR12mv1T+D/7OPgT4Aab9l8G+FNF8Poy7XktbYCeYf7cpzI//AAJjXbba+JzTxEr1E4YGHIu7 1f3bL8T6LBcJ0oe9iZc3ktF9+7/A8b/Zc/YQ+G/7I2nr/wAIroqyawybJ9ZviLjUJx3G/AEanusY VTjkE817JijFFfnuIxNXEVHVrycpPq3c+ro0YUo8lNJLsgooorE0CiiigAooooAKKKKACiiigAoo ooAKKKKACjFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABiiiigAoxRRQAUUV55+1R+0pof7Ivw M1r4geI7PVr7R9DaBZ4NNjjkuX86eOBdokdF4aRScsOAevSgD0OivgD/AIiNPgr/ANCn8Uf/AAX2 H/yZR/xEafBX/oU/ij/4L7D/AOTKrlYH3/RXwB/xEafBX/oU/ij/AOC+w/8Akyj/AIiNPgr/ANCn 8Uf/AAX2H/yZRysD7/r8tf8Ag5U8S26ad8J9HWRWupJdRvJIwfmjRRbopI/2i74/3DXfa5/wcefC SDTZW03wX8Rrq8APlx3NvZ28bHtl1uHIHuFNfmT+3B+2R4g/bi+Ot34z1y3i0+JYVstM02KQyR6d aoSVjDEAsxZmZmwMsxwFGFFQi73YHkNJuyKWu6/Zg+C91+0T+0P4N8E2scrt4j1WG0maMZaGDdum kx6JEHc+ymt7gf0QfsgaDJ4V/ZN+GOlzKyTaX4T0u0cEYIaO0iQ/qK9GxUdtbraW8caKqpGoVVUY VQOAAKkrkAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACjFFFABRR RQAYooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAK+T/wDgt3z/AME0PiF/110z/wBOVrX1hXzP/wAFf/AGvfFH /gnx440PwzouqeINavJdOMFhp1q91czBNQt3bbGgLHCqzHA4AJ7VUdwP59dlGyvW/wDhgr44f9Ed +J//AITF7/8AG6P+GCvjh/0R34n/APhMXv8A8brougPJNlGyvW/+GCvjh/0R34n/APhMXv8A8bo/ 4YK+OH/RHfif/wCExe//ABui6A8mxzRivWR+wT8cSf8Akj3xO/8ACYvf/jddb8Of+CUn7QfxOvlh s/hlr2nrn55dW2aakQ9SJmVj9FBPoDRdAfO+7iv1q/4IHfsDXngyxuPjV4rsGtrvVrY2nhi3nTbI ls+PMvMEZHmDCIeCU3nBWRTWx+w7/wAEBdF+F2uWfiT4u6lYeLdStGEsGhWasdLjccgzO4DT44+T aqZUgiRTX6O29vHaQJHEixxxqFVVGAoHYVlOfRAPooorIAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKMUUUAGKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKAP/9k= ------=_NextPart_01D75182.D5FCC5B0 Content-Location: file:///C:/D58EC08E/09_ChistianGuzman_archivos/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01D75182.D5FCC5B0--