MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01D6754B.1863A9B0" 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_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252"

 

Generación de un índice de calidad de servicio para establecimientos turísticos de alimentos y bebidas=

 

Generation of a service quality index for tourist food and beverage establishments

 

Ana Carola Flores Mancheno.[1], Claudia Patricia Maldonado Erazo.[2], Jessica Cristina Bermeo García.[3] & Catalina Margarita Verdugo Bernal= . [4]

 

Recibido: 22-06-2020 /Aceptado: 20-07-2020 / Public= ado: 07-08-2020

 

Abstract.=                              DOI: https://= doi.org/10.33262/concienciadigital.v3i3.1.1362

 

Quality represents a constant challenge that must = be faced by both tourism and non-tourism companies, because it depends on the = evolution of the needs that the client has, for which various methods or mechanisms h= ave been developed within the academic literature for your measurement. The pre= sent research aims to generate an index that allows evaluating the quality of the food and beverage service provided by tourist establishments in the city of Riobamba, province of Chimborazo. The methodology used corresponds to a fac= tor analysis that synthesizes the information of 10 criteria identified in the three most representative virtual reservation platforms in the world. The m= ain contribution that this study provides is the generation of a much more flex= ible measurement method that can be adapted to the variability of quality within tourist services, and that can be replicated in other sectors.

 

Keywords: Quality, Service, = Construct, Factor analysis.

 

 

Resumen=

La calidad representa un constante desafío que debe ser afrontado por las empr= esas tanto turísticas como no turísticas, debido a que ésta depende de la evoluc= ión de las necesidades que el cliente posee, por lo cual dentro de la literatura académica se han desarrollado diversos métodos o mecanismos para su medició= n. La presente investigación tiene como objetivo generar un índice que permita evaluar la calidad del servicio de alimentos y bebidas que brindan los establecimientos turísticos de la ciudad de Riobamba, provincia de Chimbora= zo. La metodología empleada corresponde a un análisis factorial que sintetiza la información de 10 criterios identificados en las tres plataformas virtuales= de reserva más representativas del mundo. El principal aporte que brinda este estudio es la generación de un método de medición mucho más flexible que pu= ede adaptarse a la variabilidad de la calidad dentro de los servicios turístico= s, y que puede ser replicado hacia otros sectores.

P= alabras claves: Calidad= , Servicio, Constructo, Análisis factorial.

Intro= ducción

La calidad de los servicios se establece día con día en un requisito indispens= able para alcanzar el posicionamiento y la competitividad deseada en el mercado = (Bethencourt et a= l., 2005). Cuando se analiza el concepto calidad, éste siempre viene vinculado con el cliente, puesto que es él quien establece los requerimientos para determina= r la calidad de lo que consume, por lo cual Cubillos y Rozo (= 2009) plantean que la calidad es un concepto con relaci= ón directa e inherente a la misma esencia del ser humano.

Al estar vinculada la calidad a los requerimientos establecidos por el cliente= , se convierte en una condición de cambio constante y compleja de medir, puesto = que las necesidades y exigencias varían, por lo que, establecer mecanismos para conseguir y comprender la calidad es un reto continuo para el sector empresarial.

Integrar la calidad dentro de los servicios que se prestan al cliente, no solo influ= irá en la experiencia que el cliente puede vivir, sino que también influirá en = la productividad del servicio, en el ambiente laboral del personal, tanto inte= rno como externo y en la mejora de la gestión administrativa de la empresa  (Fraser et al., 2= 013), esto viene respaldado por Álvarez (2005) quien sostiene que el abordaje de la problemática= de la calidad no solo se centra en la satisfacción de necesidades, sino que és= ta corresponde a un sistema holístico que integra a toda la cadena de valor, p= ara alcanzar así una calidad global (Castellucci, 200= 9)

El propósito de este estudio es generar un índice que permita evaluar la calid= ad del servicio de alimentos y bebidas que brindan los establecimientos turísticos= de la ciudad de Riobamba, provincia de Chimborazo, calculado a través de las exigencias actuales del mercado tradicional como digital.

Este artículo se divide en cuatro secciones. Después de la introducción donde se contextualiza el tema y se plantea el objetivo, se realiza una revisión de = la literatura sobre el concepto de calidad y sus métodos de medición. En la tercera sección se describe el enfoque metodológico utilizado para el análi= sis de los datos y a continuación se exponen los resultados obtenidos. Finalmen= te, en la última sección se presentan las principales conclusiones.<= /span>

<= span style=3D'font-size:12.0pt;mso-bidi-font-size:10.0pt;mso-bidi-font-style:ita= lic'>a.&n= bsp;     Calidad: breve conceptualización

 

Calidad es un término= que tal como menciona Castellucci (2009) presenta múltiples significados que han ido variando o en su defecto evolucionando e= n la medida que se ha desarrollado el estudio de este tema, a pesar de ello se continua en el trabajo de su definición debido a que este concepto continua presentando dificultades de precisión.

En un breve proceso cronológico para la comprensión de la evolución del concepto hasta la actualidad se presenta la figura 1, esta analiza la calidad desde una visión macro.

Figura 1. Evolución del concepto de calidad=

Adaptación de Cubillos y Rozo (2009)

 

<= span style=3D'font-size:12.0pt;mso-bidi-font-size:10.0pt;mso-bidi-font-style:ita= lic'>b.&n= bsp;     Calidad y turismo<= /p>

 

De acuerdo con dos Anjos = & de Abreu (2009) la evaluación de la calidad se convierte e= n un proceso más complejo de establecer dentro de los servicios que en los productos, debido a la heterogeneidad e intangibilidad de los mismos. =

De esta manera, el estudio de la calidad no ha sido algo ignorado po= r el turismo, debido a que el turismo es netamente un servicio (Entorno Turístico, 2020). La calidad ha sido analizada a distintas escalas del sistema turístico, ratificando que este c= oncepto es algo subjetivo, pues depende de la percepción del cliente. Puntualmente, dentro del servicio de alimentos y bebidas la calidad se ha centrado en las= expectativas que posee el cliente versus el servicio que recibe.

Para conseguir medirl= a se han generado distintas técnicas con diversos grados de complejidad, la más común es el desarrollo de un cuestionario para conocer el grado de satisfac= ción del cliente (Camisón et al., 2007), que generalm= ente se aplica a modo de feedback. Es frecuente que en este proceso= se mida la calidad desde diferentes aristas, pero no se consigue una visión integral de la satisfacción alcanzada.

Entre los modelos de medición más elaborados, se encuentra el SERVQUAL que integra 5 elementos q= ue son la fiabilidad, confianza, tangibilidad, empatía y capacidad de respuest= a, es decir, se genera un instrumento a partir del cual se busca medir lo que = el cliente desea o espera del servicio que consume (Parasuraman et al., 1994). <= /span>

Adicionalmente, se presenta el modelo SERVPERF que mide los mismos criterios que el modelo anterior, destacando como ventajas: facilidad de aplicación, rapidez en la obtención de los resultados y mayor precisión de respuesta al evitar las am= bigüedades (Chiriboga et al., 2018; Teas, 1993). Ambos métodos han sido validados en innumerables investigaciones.

A pesar de ello, los criterios propuesto por estos modelos no llegan a contener todas las necesidades actuales del cliente, que inician desde el momento en que éste decide consumir el servicio hasta cuando regresa a su hogar.

Debido a la falta de elementos que se acoplen a las nuevas exigencias, se ha optado por el diseñ= o de un índice sintético que tome en consideración el turismo 2.0 a partir de los criterios que el turista puede valorar dentro de las plataformas de reserva= de servicios. Esta consideración se efectuó debido a que, con el avance a un turismo 2.0, la calidad no solo se limita a las experiencias de familiares y amigos, sino que, integran las perspectivas de otros usuarios sin necesidad= de que estén relacionados previamente (citar).

En consecuencia, la calidad del servicio al ser tan difícil medir, ésta debe ser analizada como= un constructo subjetivo, generado a partir de la percepción del consumidor (Villalba, 2013). Por lo tanto= , se propone la aplicación del análisis factorial (AF) como un método de reducci= ón de datos que permite la integración de variables e identificación de factor= es subyacentes.

= Metodologia

El estudio fue de tipo observacional, descriptivo y de corte transversal. El levantamiento de la información se realizó a través de una encuesta dirigid= a a los clientes de los 32 establecimientos de alimentos y bebidas que se encuentran ubicados en el centro de la ciudad y forman parte del catastro turístico municipal del año 2019.

La fase de muestreo tuvo la duración de un mes; se seleccionaron 10 clientes de cada establecimiento obteniendo 320 encuestas, con propósito de cumplir los requerimientos de muestreo exigidos por el AF (Hair et al., 199= 9); los clientes seleccionados fueron escogidos de manera aleatoria bastándose como criterio de inclusión, que hayan realizado= un consumo dentro del establecimiento.

La encuesta se aplicó de lunes a viernes en cuatro horarios diferentes y estuvo compuesta por diez preguntas que evaluaron la calidad percibida en los siguientes criterios o ítems: ubicación, accesibilidad, horario de apertura, servicio, ambiente, seguridad, higiene de baterías sanitarias, estándar de baterías sanitarias, higiene del personal y una evaluación general del establecimiento; los cuales se determinaron luego de efectuar un contraste entre los ítems de evaluación empleados por las tres plataformas de mayor u= so para la reserva de servicios (TripAdvisor, Booking y Airbnb) vinculando de esta manera las características del turismo 2.0. Cada pregunta fue puntuada en una escala de 0 a 10, siendo este último el que de= nota la máxima calidad.

<= span style=3D'font-size:12.0pt;mso-bidi-font-size:10.0pt;mso-bidi-font-style:ita= lic'>c.&n= bsp;      Análisis de datos<= /p>

 

Se inició el análisis a través de la descripción de las características de los establecimientos de alimentos y bebidas de acuerdo a su tipología y, se rea= lizó un análisis descriptivo de la evaluación obtenida en cada uno de los diez ítems.

Posteriormente, para la integración de los ítems evaluados y obtención del índice sintético= , se realizó un AF exploratorio mediante el método de componentes principales y,= a través del criterio de Kaiser se identificaron el número de dimensiones o factores subyacentes, a quienes llamaremos subíndices; a cada subíndice se = le asignó un nombre de acuerdo a la contribución de los ítems que lo integran.=

Se generó una ecuación para el índice sintético de calidad a través de los coeficientes de ponderación y los subíndices identificados. Los coeficiente= s de ponderación fueron calculados como el cociente del porcentaje de variabilid= ad explicada por cada subíndice y el porcentaje de variabilidad total explicada por el número de factores seleccionados (Castro & Cas= ique, 2008).

Además, se evaluó el determinante de la matriz de correlaciones, el test de Esferic= idad de Bartlett y el índice Kaiser-Meyer-Olkin (KMO= ) como indicadores de la pertinencia del AF.

Resultados=

<= span style=3D'font-size:12.0pt;mso-bidi-font-size:10.0pt;mso-bidi-font-style:ita= lic'>a.&n= bsp;     Descripción de los establecimientos e ít= ems de evaluación

 

Los 32 establecimientos de alimentos y bebidas que se encuentran en el centro d= e la ciudad, de acuerdo al catastro turístico municipal se clasifican como: bar, cafetería, fuente de soda y restaurante. En la figura 2 se muestra la distribución de los mismos, observándose que, el 66% pertenece a la tipolog= ía de restaurante.

Figura 2. Distribució= n de los establecimientos

 

      =                                                                            =                                                       Elaborado por: Grupo de Investigación

En la tabla 1 se resume el puntaje obtenido para cada uno de los diez ítems evaluados, generados a partir de las 320 encuestas (HAIR), siendo el promed= io de éstos 7,28 sobre 10 puntos. Siete de los ítems superan la puntuación promedio, destacándose la evaluación general del establecimiento con 7,85 puntos. Por otro lado, los ítems con menor evaluación son: seguridad (5,9 puntos), estándar de baterías sanitarias (6,96 puntos) e higiene de las baterías sanitarias (7,13 puntos).

La seguridad es el ítem que posee mayor variabilidad en su evaluación, ya que = el coeficiente de variación alcanza un 26,05%, mostrando con ello que, es muy diversa la percepción de calidad que tienen los clientes sobre la seguridad= de los establecimientos que fueron parte de este estudio.

Tabla 1. Estadísticos descriptivos de la evaluación a los establecimientos

Estadísticos descriptivos

Media

Desv. típ= .

Coef. Var.

Ubicación (UB)<= /p>

7,42

0,76

10,24%

Accesibilidad (AC)

7,42

0,78

10,55%

Higiene del personal (HP)

7,67

0,90

11,79%

Horario de apertura (HA)

7,38

0,89

12,07%

Servicio (SE)

7,63

0,95

12,46%

Evaluación general (EG)

7,85

0,98

12,54%

Higiene de baterías sanitarias (H= B)

7,13

1,00

14,03%

Ambiente (AM)

7,48

1,06

14,12%

Estándar de baterías sanitarias (= EB)

6,96

1,21

17,31%

Seguridad (SG)<= /p>

5,90

1,54

26,05%

Media

7,28

 

 

Elaborado por: Grupo de Investigación

b.&n= bsp;     Obtención del índice sintético

 

·         Pertinencia y validez del AF

=  

La validez del AF como método de reducción de datos se lo realizó a partir de = la evaluación del determinante de la matriz de correlaciones, el test de Esfer= icidad de Bartlett y el índice KMO. Cuando el determinante de la matriz de correlaciones se aproxima a cero, significa que existen variables con intercorrelaciones muy altas, siendo factible realiza= r el AF (Montoya, 2002). <= /span>

El test de esfericidad de Bartlett prueba, si la matriz de correlaciones es una matriz identidad, es decir, prueba si las variables se encuentran correlacionadas entre sí. Si las variables no están in= tercorrelacionadas, entonces el test de esfericidad de Bartlett debe presentar un valor de sign= ificancia (valor p) superior al límite de 0,05. Además, el índice KMO, medido entre 0= y 1, alcanza este último valor cuando cada variable es perfectamente predicha= sin error por las otras variables, considerándose como adecuado el AF si el KMO= es superior a 0,80 (Hair et al., 1999).

En= la tabla 2 se presentan las correlaciones existentes entre los ítems evaluados, donde 10 de ellas son mayores o iguales a 0,50. Lo deseable es que exista un número sustancial de correlaciones mayores a 0,30 (Hair et al., 1999). Aquí se observa que, la evalu= ación general del establecimiento se encuentra asociada principalmente con las co= ndiciones higiénico sanitarias, ambiente y servicio del lugar. Se evidencia la factibilidad de realizar el análisis factorial ya que, el valor del determinante (0,021) que se encuentra al pie de la matriz se aproxima a cer= o.

 

Tabla 2. Matriz de correlaciones de los ítems evaluados

 

UB

AC

HA

SE

AM

SG

HB

EB

HP

EG

UB

1,00

AC

0,30

1,00

HA

0,07

0,30

1,00

SE

0,38

0,25

0,19

1,00

AM

0,45

0,13

0,16

0,44

1,00

SG

0,09

0,21

0,23

0,29

0,13

1,00

HB

0,36

0,38

0,36

0,43

0,47

0,35

1,00

EB

0,32

0,39

0,23

0,51

0,50

0,32

0,67

1,00

HP

0,28

0,28

0,25

0,47

0,49

0,29

0,53

0,55

1,00

EG

0,45

0,27

0,11

0,55

0,63

0,21

0,53

0,58

0,68

1,00

Determinante =3D 0,021

 

A = partir del test de Esfericidad de Bartlett (tabla 3) se corrobora la validez de la aplicación del AF, debido a que la significancia obtenida es 0,000. En cuan= to al índice KMO (0,86) comprueba el grado de relación conjunta entre los ítem= s, considerándose que éstos pueden ser predecibles a partir de los demás.=

 

Tabla 3. KMO y prueba de Bartlett

Medida de adecuación muestral de Kaiser-Meyer-Olkin

0,860

Prueba de esfericidad de Bartlett

Chi-cuadrado aproximado

1218,461

gl

45

Sig.=

0,000

 

Co= n la verificación de la pertinencia y validez del análisis factorial, se procede= con la extracción de los factores subyacentes a través de la agrupación de los = 10 ítems evaluados.

 

·&nb= sp;        Extracción de los factores

 

Pa= ra seleccionar el número de factores que explicaran los 10 ítems, se utilizó el criterio de Kaiser, que consiste en conservar aquellos factores cuyo autova= lor asociado sea mayor que 1 (Hair et al., 1999). En la figura 3 se observa que= los dos primeros componentes tienen autovalores mayores a 1, por lo que se extr= aen dos factores.

Figura 3. Diagrama de sedimentación

 

 

En= la tabla XX se detallan los autovalores iniciales de cada componente, en ella se evidencia que los dos primeros componentes tienen autovalores mayores a 1 y= que en conjunto explican el 56,66% de la variabilidad de los 10 ítems, de tal manera que, se identifican dos factores subyacentes que resumen dicha información.

 

Tabla 4. Autovalores y varianza total explicada

Componente=

Autovalores iniciales

Suma de las saturaciones al cuadrado de la rotación

Total

% de la varianz= a

% acumulado

Total

% de la varianz= a

% acumulado

1

4,416

44,161

44,161

3,572

35,718

35,718

2

1,251

12,505

56,666

2,095

20,948

56,666

3

0,895

8,951

65,617

 

 

 

4

0,77

7,697

73,313

 

 

 

5

0,657

6,569

79,882

 

 

 

6

0,563

5,627

85,509

 

 

 

7

0,508

5,076

90,586

 

 

 

8

0,399

3,994

94,58

 

 

 

9

0,288

2,885

97,465

 

 

 

10

0,254

2,535

100

 

 

 

Método de extracción: Análisis de Componentes principales

 

En= la tabla 5, se presenta las cargas factoriales rotadas utilizando el método Varimax, logrando así que, la identificación de los factores subyacentes sea más sencilla. Las cargas factoriales, representan = la correlación que existe entre cada ítem y el factor, lo deseable es que cada ítem contribuya en la formación de un solo factor, por lo que, idealmente l= os valores mayores a 0,5 se consideran adecuados (Pérez, 2004). De acuerdo a lo indicado, se generan dos factores a quienes se los denominará subíndices los mismos que = se encuentran compuestos de la siguiente manera:

 

-&nb= sp;       Subíndice de Condición del Servicio (SCS): Está compuesto por siete ítems= los cuales son: evaluación general, ambiente, higiene del personal, servicio, están= dar de baterías sanitarias, ubicación e higiene de baterías sanitarias.

 

-      =   Subíndice de Factores de Acceso (SFA): Compuesto por tres ítems: horarios de apertura, seguridad y accesibilidad.

                                                 =                                                                            =                                                                Tabla 5. Matriz de componentes rotados

 Ítems

Componentes o factores

SCS<= /span>

SFA<= /span>

EG<= o:p>

0,863=

0,138

AM<= o:p>

0,807=

0,030

HP<= o:p>

0,681=

0,358

SE<= o:p>

0,666=

0,266

EB<= o:p>

0,662=

0,461

UB<= o:p>

0,657=

0,004

HB<= o:p>

0,583=

0,564

HA

-0,009

0,747=

SG

0,119

0,638=

AC

0,210

0,616=

Método de extracción: Análisis de componentes principales.

Método de rotación: Normalización Varimax con Kaiser.

a. La rotación ha convergido en 3 iteraciones.

<= span style=3D'font-size:12.0pt;font-family:"Times New Roman",serif;mso-fareast-f= ont-family: Calibri;mso-fareast-theme-font:minor-latin;mso-fareast-language:EN-US'> 

·      =    Ecuación del índice sintético 

 

Pa= ra la integración de los dos subíndices y de sus respectivos ítems en un solo indicador, primero se calculan los coeficientes de ponderación, dividiendo = el porcentaje de variabilidad explicada por cada subíndice para el porcentaje = de variabilidad total explicada por los dos factores extraídos.

 

 <= /o:p>

 

Lu= ego, se calculan los subíndices, sumando los valores de los ítems dentro de cada factor y dividiendo este valor para la puntuación máxima que podría ser alcanzada. En el caso del primer subíndice, se suman las puntuaciones de lo= s 7 ítems que lo conforman y se divide para 70; de manera análoga se procede co= n el segundo subíndice, es decir, se suman las puntuaciones de los 3 ítems que lo integran y se divide para 30. Como cada establecimiento tiene la evaluación= a través de 10 encuestas, se promedian estos valores obteniendo una sola puntuación por establecimiento. 

 

De esta manera, el Índice de Calidad del Servicio (ICS) queda integr= ado por la ecuación:

 

 

Ob= teniéndose un índice de calidad cuyo rango de evaluación está definido entre 0 y 1.

En= la tabla 6 se observa a los establecimientos ordenados de manera descendente de acuerdo a la valoración de calidad alcanzada, misma que se calculó a través= de las puntuaciones de los subíndices. Aquí se aprecia que, tanto los restaura= ntes (REST) como bares, cafeterías y fuentes de soda (BCF) tienen diversas puntuaciones, las mismas que fluctúan entre 0,55 y 0,87 sobre 1 punto, con = una media de 0,72 y desviación estándar de 0,06.

 

Tabla= 6. Compo= sición de los subíndices e índice de calidad del servicio por establecimiento=

Tipo de establecimiento

SCS

SFA

ICS

REST

0,88

0,84

0,87

REST

0,83

0,81

0,82

BCF

0,83

0,77

0,81

REST

0,81

0,79

0,80

REST

0,80

0,78

0,79

REST

0,77

0,75

0,76

REST

0,78

0,72

0,76

BCF

0,76

0,75

0,76

REST

0,77

0,72

0,75

BCF

0,80

0,65

0,74

REST

0,80

0,65

0,74

REST

0,80

0,64

0,74

REST

0,82

0,60

0,74

BCF

0,79

0,65

0,74

REST

0,76

0,70

0,74

REST

0,79

0,64

0,73

REST

0,76

0,69

0,73

REST

0,78

0,64

0,73

REST

0,78

0,63

0,72

BCF

0,71

0,71

0,71

REST

0,70

0,71

0,70

BCF

0,69

0,72

0,70

BCF

0,68

0,71

0,69

REST

0,68

0,71

0,69

REST

0,71

0,65

0,69

REST

0,67

0,71

0,68

REST

0,67

0,69

0,68

BCF

0,67

0,68

0,67

REST

0,68

0,63

0,66

BCF

0,67

0,63

0,66

BCF

0,63

0,60

0,62

BCF

0,56

0,52

0,55

=  

= Conclusiones

·      =    Los servicios presentan una alta complejidad para la medición de la calidad, he= cho que no es ajeno a los servicios turísticos, debido a la alta variabilidad d= e la percepción del cliente, factor por el cual se establece como uno de los cin= co pilares de trabajo del MINTUR asegurar la calidad en la prestación de servi= cios turísticos para con ello, generar una experiencia turística que cumpla con = las exceptivas del consumidor y que beneficie a la cadena de valor y los destin= os turísticos del país.

·      =    Con respecto al análisis efectuado, se ha podido validar que éste representa una herramienta de gran utilidad puesto que ha permitido sintetizar la informac= ión de diez ítems en un solo índice, con lo cual, no se descarta que la generac= ión de información a mayor escala pueda ser traducida a información de fácil co= mprensión.

·      =    Un 68,75 de los establecimientos evaluados obtuvieron una puntuación de al men= os 0,70 sobre 1 punto, evidenciando que una parte representativa de ellos posee una calidad aceptable en el servicio prestado. Es necesario precisar que, la seguridad es el ítem que alcanzó la menor evaluación en los establecimiento= s, siendo un elemento a mejorar dentro de este servicio turístico. =

·      =    Finalmente, se recomienda ampliar el levantamiento de la información a los fines de sem= anas y hacer una comparación con el presente análisis, con fin de determinar si existe diferencias significativas en la percepción de calidad abarcado el t= ipo de establecimiento y segmento de mercado.

 

Referencias bibliográficas.

Alvarez, A. (2005). La contribución del turismo al desarrollo integral de las socied= ades receptoras. Aspectos teórico-metodológicos. Revista Política y Sociedad<= /i>, 42(1), 57–84.

Bethencourt, M., Díaz, F., González, M. O., & Sánchez= , J. (2005). La medición de la calidad de los servicios prestados por los destin= os turísticos: el caso de las isla de La Palma. Pasos. Revista de Turismo y Patrimonio Cultural, 3(2), 265–272. https://doi.org/https://doi.= org/10.25145/j.pasos.2005.03.021

Camisón, C., Cruz, S., & González, T. (2007). Gest= ión de la calidad: conceptos, enfoques, modelos y sistenas. Pearson Educaci= ón.

Castellucci, D. (2009). La calidad y los servicios en destinos turísticos maduros. Aportes y Transferencias, 13(2), 29–44.

Castro, R., & Casique, I. (2008). Violencia de gén= ero en las parejas mexicanas. Análisis de resultados de la Encuesta Nacional so= bre la dinámica de las relaciones en los hogares 2006.

Chiriboga, E., Guamán, Y., Pérez, M., Hidalgo, J., & Mora, F. (2018). Calidad del servicio y su impacto en el turismo cultural: estudio de caso Museo Municipal. Revista Espacios, 39(19), 9–= 33.

Cubillos, M., & Rozo, D. (2009). El concepto de calid= ad: Historia, evolución e importancia para la competitividad. Revista de La Universidad de La Salle, 4, 80–99. https://ciencia.lasalle.edu.co/cgi/viewcontent.cgi?article=3D1170&conte= xt=3Druls

dos Anjos, S., & de Abreu, A. F. (2009). La medición = de la calidad de servicio: una aplicación en empresas hoteleras. Revista Europea de Dirección y Economía de La Empresa, 18(2), 175–186.

Entorno Turístico. (2020). La calidad en el turismo. https://www.entornoturistico.com/la-calidad-en-el-turismo/

Fraser, K., Watanabe, C., & Hvolby, H.-H. (2013). Commitment to service quality in automative dealershi= ps: results from an australian pilot study. Journal of Services, 13(1), 7–29.

Hair, J., Anderson, R., Tatham, R= ., & Black, W. (1999). Análisis Multivariante= . Prentice Hall International.

Montoya, O. (2002). Analisis de Datos Multivariantes. McGraw-hill.

Parasuraman, A., Zeithaml, V., &a= mp; Berry, L. (1994). Reassessment of Expectations as a Comparison Standard in Measuring Service Quality : Implications for Further Research. Journal of Marketing, 58(1), 111–124.

Pérez, C. (2004). Técnicas de Análisis Multivariante de Datos. Pearson Prentice Hall.=

Teas, R. (1993). Expectations, Performance Evaluation, and Consumers’ Perceptions of Quality. Journal of Marketing, 57(4), 18–34. https://doi.org/10.2307/1252216

Villalba, C. (2013). La calidad del servicio: un recorrido histórico conceptual, sus modelos más representativos y su aplicación en las universidades. REvisa Punto de Vista, IV(7), 51–72.

 

 

 

 

 

 

 

 

 

 

 

PARA CITAR EL ARTÍCULO INDEXADO.

 

 

Flores Mancheno , A. C= ., Maldonado Erazo, C. P., Bermeo García, J. C., & Verdugo Bernal , C. M. (2020). Generación de un índice de calidad de servicio para establecimientos turísticos de alimentos y bebidas. ConcienciaDigita= l, 3(3.1), 44-57. https://doi= .org/10.33262/concienciadigital.v3i3.1.1362

 


 

 

 

El artículo qu= e se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revi= sta Conciencia Digital.

El artículo queda en propiedad de= la revista y, por tanto, su publicación parcial y/o total en otro medio tiene = que ser autorizado por el director de la Revista Conciencia Digital.

 

 


 

 

 



[1] Escuela Superior Politécnica= de Chimborazo, Facultad de Recursos Naturales. Riobamba, Ecuador., acmancheno@espoch.edu.ec

[2] Escuela Superior Politécnica de Chimborazo, Facultad de Recursos Naturales. Riobamba, Ecuador., claudia.maldonado@espoch.edu.ec

[3] <= span lang=3DES-EC style=3D'font-family:"Times New Roman",serif;mso-ansi-language= :ES-EC'>Investigador independiente. Riobamba, Ecuador, jekabg91@gmail.com

[4] Escuela Superior Politécnica= de Chimborazo, Facultad de Recursos Naturales. Riobamba, Ecuador. catalina.ver= dugo@espoch.edu.ec

------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/item0018.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 VicenteJuan10Rit08Book{005E9334-2762-403= 6-88CE-BEC566B0AC7D}The McDonaldization of society2008R= itzerG.LondonSage3Jea11JournalAr= ticle{535F3675-882F-4C1B-AF46-217D9841C876}= JeacleI= .CarterC.In TripAdvisor we t= rust: Rankings, calculative regimes and abstract systems2= 011Accounting, Organizations and Society293-309364<= b:RefOrder>1 ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/props019.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_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_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/colorschememapping.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/header.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252"





www.concienciadigital.org

                                                 =                                                                       ISSN: 2600-5859

                          =      Vol. 3, N°3.1, p. 44-57, agosto, 2020

Educa= ción & Virtual                =                                                                                         =                              Página 36

------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_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_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image002.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAA6sAAAHNCAYAAAD40O3rAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAFxEAABcRAcom8z8AAHwrSURBVHhe7b1drGXVdefbD5bMi6MrP6D7QEgU xeg++CGxLOvKltH1A1IkHojUEuIFcYUf3JEsORKyFJm4ZaSgtB9al0aoLSHAatyJFTVuq5ExKNCN m8RNHEioLihCSknj7lb4KIqPoigKqoC6c5w9R53BWGPONdfea69ae+3fX/rpnL3m15hzzTXWGHvv c9Y/QwghhBBCCCGEEEIIIYQQQgghNFQXLly47KOPProh8ceJxxNn0zGEEBqk5DueTHwv8S/Sy/8z u5idU7Idn4gQ2ljJd+ATEUIoKfmN9fxhavB/J/5u1Q1CCI2j5FfeTD/+3+xqdkb4RITQNoRPRAih lZr9Yar0Bwctkt54440Ljz322IX777//wu23337hD/7gDwAAmvnOd75z4e677z7wI//4j/+YPcuB Q/pxdjmzVzL3ok989913Lxw/fvzC008/fTCnhx56CACgmT//8z+/8Fd/9VcHfuTkyZPZs+ATAWD/ WMsfpvL/Z1XtwoXHH3/8wh/+4R+GASgAwDr8h//wHyS4+Uh8THJG/yK7ntkqmXnRJ/7DP/zDhYcf fjh0uAAA6/Df//t/v3Du3Dl8IgDsPb3+MB2Xvz14USrIu2NRoAkAsCk//OEPxc2II5K/b/r17IJm p2TbRZ8o7/pFjhUAYFOeeeYZcTP4RADYe6r+MB2UP2y9cOLECT5RBYCtcuTIEXE34oz+v+yCZif1 iadPn+bTAwDYKv/0T/+ETwQASBT9YTrwPSl45JFHwuASAGAs7rvvPnVEj2cXNDupT3zhhRdCZwoA MBZ//dd/jU8EAEgU/WE6cPC5qwSRUXAJADAW8o+XsiN6M7ug2Ul9ojjNyJkCAIyF/KMRfCIAQMUf pgMHz8eSIDIKLgEAxkSVXdDspD5RnGbkTAEAxkSVXdDshE8EgKlQZfezUj4WBpUAAGOjyi5odsrm hU4UAGBsVNkFzU7ZvNB2AIAxUWX3s1I+FgaVAABjo8ouaHbK5oVOFABgbFTZBc1O2bzQdgCAMVFl 97NSPhYGlQAAY6PKLmh2yuaFThQAYGxU2QXNTtm80HYAgDFRZfezUj4WBpUAAGOjyi5odsrmhU4U AGBsVNkFzU7ZvNB2AIAxUWX3s1I+FgaVAABjo8ouaHbK5oVOFABgbFTZBc1O2bzQdgCAMVFl97NS PhYGlQAAY6PKLmh2yuaFThQAYGxU2QXNTtm80HYAgDFRZfezUj4WBpUAAGOjyi5odsrmhU4UAGBs VNkFzU7ZvNB2AIAxUWX3s1I+FgaVAABjo8ouaHbK5oVOFABgbFTZBc1O2bzQdgCAMVFl97NSPhYG lQAAY6PKLmh2yuaFThQAYGxU2QXNTtm80HYAgDFRZfezUj4WBpUAAGOjyi5odsrmhU4UAGBsVNkF zU7ZvNB2AIAxUWX3s1I+FgaVAABjo8ouaHbK5oVOFABgbFTZBc1O2bzQdgCAMVFl97NSPhYGlQAA Y6PKLmh2yuaFThQAYGxU2QXNTtm80HYAgDFRZfezUj4WBpUAAGOjyi5odsrmhU4UAGBsVNkFzU7Z vNB2AIAxUWX3s1I+FgaVAABjo8ouaHbK5oVOFABgbFTZBc1O2bzQdgCAMVFl97NSPhYGlQAAY6PK Lmh2yuaFThQAYGxU2QXNTtm80HYAgDFRZfezUj4WBpUAAGOjyi5odsrmhU4UAGBsVNkFzU7ZvNB2 AIAxUWX3s1I+FgaVAABjo8ouaHbK5oVOFABgbFTZBc1O2bzQdgCAMVFl97NSPhYGlQAAY6PKLmh2 yuaFThQAYGxU2QXNTtm80HYAgDFRZfezUj4WBpUAAGOjyi5odsrmhU4UAGBsVNkFzU7ZvNB2AIAx UWX3s1I+FgaVAABjo8ouaHbK5oVOFABgbFTZBc1O2bzQdgCAMVFl97NSPhYGlQAAY6PKLmh2yuaF ThQAYGxU2QXNTtm80HYAgDFRZfezUj4WBpUAAGOjyi5odsrmhU4UYAz+8i//8sIHH3xw4fnnn68e 2xa1sbTsjTfe6JTBdlBlFzQ7ZfNC22EZjO1/1vVxx48fv/Dhhx9e+C//5b+E5TU2aQvzQZXdz0r5 WBhUwvK49dZbL/yv//W/8lmP9eKLL36s/pEjRy7cdtttH+sHYF1U2QXNTtm80InCMJ5++um8miud OXPmwp//+Z9f+N//+3/vVEDx8MMPX/inf/qnA9uj8iHYNRkayI1FbSwJ+OT8+OOwPVTZBc1O2bzQ dpgv4rfefPPNfPa6+uijjy489dRTB3XH9D/r+jjxsaJ1Es5N2sK8UGX3s1I+FgaVsFzuv//+g4v6 3/27f/ex4//yX/7Lg2RWk9M777zzwiuvvEKyCqOhyi5odsrmhU4U2tAgyQZDggYruxZQiN1vv/32 KMmqMGZgOCZy3v7xH/8xLIPtocouaHbK5oW2w/yR5NH7YuHv//7vO8fGYl0fxyeroMruZ6V8LAwq YbmUklWPfKoqXwcjWYWxUGUXNDtl80InCm1I0BAFR8Ijjzxy4d13392pgELetddPhaPyocw5WRXb ojLYHqrsgmanbF5oO8yfUrK6Tdb1cWLrugnnJm1hPqiy+1kpHwuDSlguUbIqn6o+/vjjF18/+uij eXespF8PlrZWP/nJTy62f+eddw4corb1Y5Tawv6gyi5odsrmhU4U+pFk9P33368md/4dfUlurezX UPVTWnnTTAMgkQ+CbB9RYGbLbUCj9sqYWse297a99dZbB/VF+ned+hU0O2f7VTiRtTcK5PwxO1cr HaPWv1Bbj1Ig6ee6znmA4aiyC5qdsnmh7TB/fLIafYPC+4SW631TH6eo/xSJf7P+uc/P1drCbqLK 7melfCwMKmG5RMmqHBNnpq+/973vHSSd9pNVTUg1ydRPXv/4j//44Ljo5MmTB/3o38eeP3/+wr/6 V/+q2JZPbfcLVXZBs1M2L3Si0I8GF61/9ygJUpTkiW/QRFL03nvvXfwqrv+k077WIMsGLVKu9mi5 1P/P//k/X+xfXksd3/6//bf/1rHRBnLyWrB11G4NrLy9PmizAZkekzrPPvvswe9aR23q67+2HtFY whjnAdZDlV3Q7JTNC22H+SPXsk1WxbecOHHiY+Uq8Qkt1/sYPs630z7X8XO+rfYPu4cqu5+V8rFO QAnLxn/CqbLJquCTVfkbVnFemuRKuSajmpzaf9Ak9c+dO3eQoNbaan1YPqrsgmanbF7oRKEf/XSu JVktvdMufdjgygcpNrGSPsSPaF1BAiMNWqRcghgbwGjgJONGiae3yydyfcmqt0nKbBAVzdsfe+KJ Jy781V/91cHvPmir9e/LBLse2t6OFdkjSL+t58G2g2GosguanbJ5oe0wf2yiqLK+S4h8wBC/u46P 830INV9WK/Plegx2D1V2PyvlY2FQCcul5ZNVwSerFvlkVCQOwyartg/71eBaW1sGy0aVXdDslM0L nSj0o4FRS7Iqdf1XVPW4SIMaCZpKiaFPxDxRoKayn6RaezU51GN2PHndl6zqMUFsF1kbWwI5JRrL 4vvvWw/BjzXGedBjMBxVdkGzUzYvtB3mj7++xb+9/PLLH6sT+Z/W631dHxf5qpL/avFzpbawW6iy +1kpHwuDSlguUbLq/2ZViJJVTTTl09Lok9Vaslpqq/Vh+aiyC5qdsnmhE4V+NCApJVcWCS5ENqAR fFBTC5qkjyjRUqS8llBtK1nV4ErmIGU2iGoJ5JS+ANH337ceQhQ0al+1erXzoMdgOKrsgmanbF5o O8wf7xPEf/X9zarQd71v6uN8G0FstcdKY7S0hd1Eld3PSvlYGFTCcomSVUW+rvvzn//84HefrEo7 m2D2Jav2q7+1tloflo8qu6DZKZsXOlFoQwKMWsIkgYYEHxq82IBIiAKWUtAUBUWCHJe/+ZSf4mdK tkTJqm9jx9M6NZu8/T6wimwuHfO2y5xq/Uf9CHJc/wbW19HXm5wHPQbDUWUXNDtl80LbYf7IdTz0 DSxh2z5O+hDZOrbf2hh9bfUY7B6q7H5WysfCoBKWSylZlU9CT506dfG4TVb/43/8jwevbTv5pFQT Tv8PlbRc29faymvYD1TZBc1O2bzQiUIb+smkyAYTggRANjGU17ZelDz2JUlS7oMxaa9Bi5T7IEb6 kDF1PFsu9W3/djxN+GwdDcJE0s///J//82P2+PFbAjn/d6qCfiIi9tT6l9e19YjGlzYiPbbOeYD1 UGUXNDtl80LbYf5IEjd2strng4b4ONtO+hVJ36+99lpxjL62tbnCvFFl97NSPhYGlbA8NKGsSZNL qa//IEkkX93Vr/WqXnjhhYOf4jD+/b//9wd9/4//8T8utrF91dr6pBmWiyq7oNkpmxc6URiGBg9W Nngp1fMBk0r8ia1rEyVbT+TH8eWahGlS9vrrrx8EUiKfgGmQJdJ+7TGpL37PB1Iq+c+bIgminnnm mY+VSX+2L5Ec8/aqxO5a/zaws4rsFtl1GuM8wHBU2QXNTtm80HaYL+rbrGzyqfT5n+h6t/9JXbSO j5OxvS+TvtWP9fm5Wls/R9gdVNn9rJSPdQJKgKFEXwMG8KiyC5qdsnmhE4XlEX2CCDAlquyCZqds Xmg7AMCYqLL7WSkfC4NKgCGQrEILquyCZqdsXuhEYXmQrMKlRpVd0OyUzQttBwAYE1V2PyvlY2FQ CTAEklVoQZVd0OyUzQudKCwPklW41KiyC5qdsnmh7QAAY6LK7melfCwMKgFa8X+P+uKLL4b1AFTZ Bc1O2bzQicKy8H/zFP09F8C2UWUXNDtl80LbAQDGRJXdz0r5WBhUAgCMjSq7oNkpmxc6UQCAsVFl FzQ7ZfNC2wEAxkSV3c9K+VgYVAIAjI0qu6DZKZsXOlEAgLFRZRc0O2XzQtsBAMZEld3PSvlYGFQC AIyNKrug2SmbFzpRAICxUWUXNDtl80LbAQDGRJXdz0r5WBhUAgCMjSq7oNkpmxc6UQCAsVFlFzQ7 ZfNC2wEAxkSV3c9K+VgYVAIAjI0qu6DZKZsXOlEAgLFRZRc0O2XzQtsBAMZEld3PSvlYGFQCAIyN Krug2SmbFzpRAICxUWUXNDtl80LbAQDGRJXdz0r5WBhUAgCMjSq7oNkpmxc6UQCAsVFlFzQ7ZfNC 2wEAxkSV3c9K+VgYVAIAjI0qu6DZKZsXOlEAgLFRZRc0O2XzQtsBAMZEld3PSvlYGFQCAIyNKrug 2SmbFzpRAICxUWUXNDtl80LbAQDGRJXdz0r5WBhUAgCMjSq7oNkpmxc6UQCAsVFlFzQ7ZfNC2wEA xkSV3c9K+VgYVAIAjI0qu6DZKZsXOlEAgLFRZRc0O2XzQtsBAMZEld3PSvlYGFQCAIyNKrug2Smb FzpRAICxUWUXNDtl80LbAQDGRJXdz0r5WBhUAgCMjSq7oNkpmxc6UQCAsVFlFzQ7ZfNC2wEAxkSV 3c9K+VgYVAIAjI0qu6DZKZsXOlEAgLFRZRc0O2XzQtsBAMZEld3PSvlYGFQCAIyNKrug2SmbFzpR AICxUWUXNDtl80LbAQDGRJXdz0r5WBhUAgCMjSq7oNkpmxc6UQCAsVFlFzQ7ZfNC2wEAxkSV3c9K +VgYVAIAjI0qu6DZKZsXOlEAgLFRZRc0O2XzQtsBAMZEld3PSvlYGFQCAIyNKrug2SmbFzpRAICx UWUXNDtl80LbAQDGRJXdz0r5WBhUAgCMjSq7oNkpmxc6UQCAsVFlFzQ7ZfNC2wEAxkSV3c9KH330 0Yty8N/8m38TBpYAAGPxh3/4hxfOnz9/Ifmds9kFzU7qE//iL/4idKQAAGPx8MMPX/jggw/wiQCw 9xT9YTrwY3FCP/7xj8PgEgBgLORNMVHyO89kFzQ7qU989tlnQ2cKADAWkgDiEwEAKv4wHTv4Xt6x Y8fC4BIAYCwee+wxcTfiiH6YXdDslMw78ImvvPJK6EwBAMbi+PHj4m7wiQCw9xT9YTr2f6WDZ6Xw vvvuCwNMAIBN+df/+l/LV4A/El+T9LvZBc1OybaLPvGv//qvQ4cKALAp//W//lf5yhs+EQD2nl5/ mA4evGv29ttvX/i3//bfhoEmAMC6SKL60ksviZuRd8y+n13PbJXMPPCJ77333oWf//znoWMFAFgX CcxOnTolbgafCAB7TbM/TIVPHtRKevzxx0laAWBjJEl95JFHLn6imvyM/KOO/yO7nVnL+sR/+Id/ IEADgI2RoOyFF164+AkCPhEA9pXB/jAVXpYq/bFURgihTSX/9dcq+Zcfph87EZSJkq34RITQaPrw ww/zbyvhExFC+6qN/GGq/H9Lg8Qzq+YIIbSekh95MfFw4obsYnZOyXZ8IkJoFCU/gk9ECKGk5EN2 3h8ihBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghtH3de++9F2p8 //vf//VcFSGEFq2f//znj8uzJkv85V/+5Yu5KkIILV6RH7Q8+eSTxIgIoe0qSlAtJKsIoX1RCr5I VhFCKCvygxaSVYTQ1hUlqBaSVYTQvigFXySrCCGUFflBC8kqQmjrihJUC8kqQmhflIIvklWEEMqK /KCFZBUhtHVFCaqFZBUhtC9KwRfJKkIIZUV+0EKyihDauqIE1UKyihDaF6Xgi2QVIYSyIj9oIVlF CG1dUYJqIVlFCC1df/EXf/H7KfD6jiSjPhhzvJn4jtTPTRFCaLFy/q8DySpCaGtKiej3fWJa4fu5 GUIILU4pSf2tFHhJIhoGZI43pX5uihBCi1Pyc993fq8GMSJCaDuSJNQlpRE4IYTQ4tWYsJKoIoT2 QsnftSSsxIgIoe1KklGXnFpwQgihvVFPwkqiihDaKyW/V0tYiRERQtNIklKXpJKoIoT2UoWElUQV IbSXSv4vSliJERFC00qSUxJVhBDqJKwkqgihvZYkp9kfkqgihC6dcsKKE0II7b0kQU28SKKKEEIX E1ZiRIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYR6dfz48U8e O3bsumefffZbR48e/VH6+WLiJQCAgfwk+ZDvJn9y45EjRy7PLmbnhE8EgJHAJwIArFjPHz7//POf S42fSJxMnEqcTXyQ+BAAYCBnkyM6/dxzz72Rfn8hOaTrs6vZGeETAWBE8IkAACuG+8NU+euJV1KD dxPn0u/ihF7Px6KMGAAgJDmdl9PPk+JHkjOSYOa9xInEfdnlzF74RAAYC3wiAMCKtfxhKvxi4tXU 6Hz6+XZCOgkHAAAYSnJM8s7ZucRr6fcbs+uZrZKd+EQA2Br4RACAFb3+UP72IBX+IvGuZLjSCABg bJJ/EWck7579MvGr2QXNTvhEAJgCfCIAwIqqP5QMNh18PfF+gnfKAGCbnEm8lbgtu6DZCZ8IABOC TwQAWBH7w6NHj35X/sA1FfBuGQBsG/kbhTPJ5/wou6DZCZ8IABOCTwQAWBH7w1TwaEI+dpX/7BY1 BAAYhWPHjr2cHJH8XcIL2QXNTsk2fCIATAI+EQBgRdEfpgPyfKwPpIJWBgDYIvIvy1/KLmh2Srbh EwFgSvCJAAAruv7QFgAATMDcA7OLNgIATAA+EQBgRdcf2gIAgAkgMAMAOASfCACwousPbQEAwAQQ mAEAHIJPBABY0fWHtgAAYAIIzAAADsEnAgCs6PpDWwAAMAEEZgAAh+ATAQBWdP2hLQAAmAACMwCA Q/CJAAAruv7QFgAATACBGQDAIfhEAIAVXX9oCwAAJoDADADgEHwiAMCKrj+0BQAAE0BgBgBwCD4R AGBF1x/aAgCACSAwAwA4BJ8IALCi6w9tAQDABBCYAQAcgk8EAFjR9Ye2AABgAgjMAAAOwScCAKzo +kNbAAAwAQRmG/DQQw+9+qlPferD22+//c2ofOns+/wjpliTe++992S6PC4Il1122Uc/+9nPXonq wVrgE3tYd49PuW9rNmrZl7/85bO+bF+44YYb3tllv/3tb3/7rUvt+6I9NoX/LyHX1xb2dNcf2gIA gAlYXGBmAyLhq1/96mlb/vTTT798+eWXf6Dln/nMZ8499dRTL9s6rVzKG1MrR44ceenGG288ve4c S9h1vlTz39bc1mWKNZExdM/q/vN7HDZiUT5RrpEvfelLZ1PTi/5Q9lDr/oyusXX83tT7tmajJDpz vWa27dN0P1zq+W8yT0m0ZS9fymS15OvHjgmGrpPs7U1imoCuP7QFAAATsKjAzGKT0lLAMtYNZc7I zfPzn//8e9sIfsa+MQ9lm3Nbl22viQRq+/yJ0AQsyifKfrHBq/i91E3zmyljXWNz2bcS/H/zm998 KyqbA9v2aXIe5pCobzrPuX6yOjbrrJOszYjXWtcf2gIAgAlYVGBmkWT1n//zf35G3kX+xCc+8dEP fvCD12z5viSrPlgdkylu1jW2Obd12faazCXoXzCL8Yn6hp1PTob4vrGusbnsW0lWf/rTn74alc2B bfo0++l2VD4lm85T5rIPyeo666Sfno9kV9cf2gIAgAlYTGDmkUDt+uuvf0cDNn9jiwI2OZaGPfhq j9D3DnR0s9KbyxNPPPGKfrKrQZqUyWubPNuAUscvJddql+Bt03Hvuuuu16VcxvRt1A77FSahdlOz ffg1bLlZ2/brzMvaKvbfeuutb8mNuzS3lj49m9TfdE18+9J8tV8tE77whS+8V9pjPsCpjRntnWg8 wfY7dN2Elv1e25+RrX1tBrIYn1jyfbJWdn1Ka+fPr651tMeH7NvWc2bH7/Mdvrx0Hdb2rAb5fv/7 PhTdiy2+Xs9FVEevKW9b6/Xdsvd1bv4abbkeS9ecYG1u9WV+ntpf3zx07sJnP/vZ9/14tXOr7Uvz KGH7bNlj0bHSGvXtt9I61fq05XaPbEDXH9oCAIAJWExg5pGbsCSr8rveBL2z9zeUKAAo3dDsjVX6 0RuPHtMbiNSTm9xVV111ztaTfm0AIzdfublqub0B1Wyz41555ZXnr7322jNa/8/+7M9e8211TJ27 3sCjm5qU6Q1fx7F1SwGhYvseOi95LbZeffXVZ2251n/wwQdP+PYtfXqG1h9jTUrta/O19a1t0TE/ p9KYTz755Mvye7R3HnjggRN33HHH69qn2DLk3EW07PfS/qzZqslCy55uYFE+UdYoNTvwSboHLDV/ EF1jep4FbbPOvq2N61/7PdJXHtko1Pas3Zuyv/Srl9Fe0vF0DDtuydfbdqVrNVrvvjZ966j4evaY zCG6Hh977LFXdZ7+mpP+Zax1fFk0z7552Nda1+4H3589t2pbaR5SP8KOaddFx/S+Ptp3pTWyb3CU 9lvpHlfq09bRvejf4FmDrj+0BQAAE7CowMwiNzRNVgVx+qnLiwGbvNYbSinBkDo1hx+1szcbee1v woK9AenNxgYjtt9W2+S1vZHaetYe6e/Tn/70h33tpJ7YbY/rzVhtKdmmZXYcQdrrWC3ziurou/Na 18+tZa2Udepvuia19lFbO99or0TH7Lq02Cz1/R545JFHXv3Rj350Qn73e7g0x9K6WVr2e21/Rrb2 tRnI4nyinm/FnreW9bbXmLax59+/Fvr2bW1cXyZ431Erl9ctNgoyrt2z3n9H81fG8PW+f/+65fpu 2fvRmgl916O8jvqUOpv4Mj/P2jwi2315y7mN5lEiGrNvj/lj8nuf7+3bb/51S59aL1qTNej6Q1sA ADABiwvMFJ+sCnJjSN0eOHW5CagjF2cfBdnRTcAS3RD8zaU1gNEk2raRY622+XGV0nFB1yO6gWv/ EWpr7YYo7WuBQeu81EY7ruLn1tqnPT60vtriaV2TqK2g7WvzjQLLvmC2ZczaHon6H7pulr79butG +7Nmq1Db040s1ifK2qUuPnbuLa3rHe3xofvW4seVfdTnO/rOr7exdc+KLaVrSY+Vyi5FsqrHhNre L82/5XqMxtN1i9B2tT1RmoPQsh/ssdLc1EY9H7UxPdGYnug6sMd0/Ai7RkP2Q0ufQu0+NJCuP7QF AAATsNjATG64PlnVm7Dc2OSrQOrI/U1N6XP4Ubm/ubQGMPZGY4OFVttKN+LouAYD0lbKS8FN1J+l tj7SPgogbHnrmusaSX1rq5/b0PO4Tv1N16SvvVCabxS4RsfsurSMWdo7pbKh62bp2+/yurY/S7a2 7OlGFuMTZa39f77V9bfrM3S9S+dZ+5a++vatUBpX9lef76iVC97G1j0rNrUkhlFZq68fkpy0tGnZ +zLP2iertevRjye0+BWhtCeiPkvziOYk49v90nJuozG1jrQXdF+ts8f8sZY16ttv/nXruke2rUnX H9oCgDkz4oUAl5bFBGYeueH6ZFWwNyfdv3rMB1P2hmiPK9F14G8urQGMDRakXw0sWm2LbsTR8ahd NEdrgz1uiebfVybH5W8hW+Yla3f33XeftG1tn35uLX3a4+vU33RNau375hsFrkIt4GmxubR3orZ3 3nln07mzxy19+71vf0a29rUZyGJ8oqz1Nddc865fB7te66y335fr7NvauL69Iset7yiV6++2jr7u 27PbTFbl9dDkpK9N696PbBP6rkd5Hdnk63iG+u7aPKQsbf2PJaO2fuu5jeZRwttrj5f2mD8mv/f5 3qH7oaVPQebel2w30vWHtgB2m2gTtyCOY04PuY9QxyEMnR/MjsUEZh65BkvPJ4tufnLTsMeim7gn us79zaUvgNFx7E1VbLF9tNhWuhHb45JoyGt7E5O+7diWqEzaqx19fk7a+xvmzTfffNrOszYvWbsr rrjivLbXcq3v59bSp2ed+puuSal933z1tQ/KpE9dBx1f5qTj9Nls11HLo30r4+sndUPXTdF61h5r v9hS25+RrX1tBrIYnxittd9DQ9ZbrzG/x9fZt33jyus+31Erj65DaZOWsLpnpU4tebD4sj5fL6+l f30dXavRetfa/N7v/d7bLXs/mqs97tfe2lxag2gsqSvzH+q75XVpHrqudiypL2ugbaR+37ktzaOE 9Dl0j/ljtTXS8tZk1e6HWp++nR5bk64/tAWw2+iF44OKPmSjb/Kg5KmILlLYSRYTmFn0+lOifSp1 /HFx8H3tFBs0aF3bXm4U8h9VfR1rm9TR/3Iqn4Bo3egmU7PN9ulvYtZOaaM3fq1/3XXXnZGf/qas +LXUm7/vp7RWfeeiNi8ZQ27QpXH83PT4kPMoDK0/9prY9qX5+r7t+bLrIHvnlltuOeX3QWlMe9y2 8fUVH/zZMrVV7fE2CBpElva7n6fdn/JfVvW47bvWJtrTPSzGJ8pay5sLfn1sXNK3dv4as6/1mPQx dN+2nDO/B7VPpVQe2ahtWv2orJGt632yL2vx9dK+71r16+2P+TYt66jIm7R+Hn3Xo51DdD37c9Di ywQ/z755+HL578V+jq3nNppHCT8/7dPbI8dL+660RvZ4ab9F+6HWp+DfGNA+hszb0PWHtgB2F9nE v/Zrv3Ze3vEaujlkA3pnMkd089uLB3aSxQRmu0r0DjDAEpD7hH38jbAD+x2fCItFYswoseH+sxzk TYnog7LIHzfQ9Ye2AHYXeXdENkotodOktOUB/oIt8wmw/VqutLH/HtyWCWqLOihrpy2vtRVIVhcD gdklhmABlspNN9102n+6Q7K6mayNAEPx1x/3n2UhuULpA6/IHzfQ9Ye2AHYTufC/8pWvnLVfW7BJ pzqGdLo7DyeOHuAv2HfCtL3WkTFKD17W8TWh1AS55WHEpbY6DsnqYiAwu8QQLMDS8PcPyw7sd3wi LB6JNeX65P6zHEqfqNb8cQNdf2gLYDexyaK8liQv+iqwOIrScZ8UyiaLPkmVjRcljfrJqpT5/+hm x/QJqB27ry3J6mIgMLuE6E0kTfXiNyOiegBLYEf2Oz4R9gLuP9BA1x/aAthNJAG0CZxNLG09n5SW jmv7CH0nTMb0xzxaxyer1jmVbIrakqwuBgIzAIBD8IkAACu6/tAWwO6hCVw6lZ3E0r9jNSRZjep5 7NeLfUIqxySplL6HJKu1tiSri4HADHaSKX2QjjX0kwf85E6CT4SdAP8CE9D1h7YAdg9J6KJPNiXp s4me4BPD0nFxRus+eFkSXTuuTzhryWpfW5zkYiAwg53DfuNkCh8k4w1NVAX85E6CT4TZU/KB8sHF 3J/Vvws2wkW6/tAWwG4hQYn/21JbJgFL7VPM6HjLA4AlWS09eFnq+GeWtSarfW0JwhYDgRnsJFP6 IBkj8u2wSPCJsBNEPlCOzf1Z/btgI1yk6w9tAewO9o/U/UOK1ZlImSDJ4O/+7u8ePOxY8EmorW8d kCSL2kbQT3Bl7NaHcduHLNuHq0vCKsmpvhYb7X8MFmzbe+6552Q0HuwkBGawk0SBGsAI4BNhJ4h8 oMSK0Qchc2IXbISLdP2hLQAAmAACMzjAvmHl33TT4MI+Fzpq5998s19VE6KgKupTqbWPAjX7t/t+ Doq1V4j+dMO+0ad26RuGGmTpWFJeepOxlFDX1tqXC6V/nAdbAZ8IVTa5flv8hmWID/Tjlvy00OdT NpmjYO0WO/QpFWPaCJPQ9Ye2AABgAgjM4GPvdGswJYnnY4899qomf/650FJX2mlAoe20TBM+DaR0 jCeffPLlWp9qU6m91okSQamjwY8PluSYH0fr2IBJsUGlHtP2Lc+qtuN7G7WOXWtN8ofYCFsBnwhF Nrl+7ZtgJb9hxxrqAx988METkS8d6lM29VFi99VXX33Wlmv9sWyEyej6Q1sAADABBGZ7jgQ8/p+4 SaDggxP7WttJIGWPaYAhwZPv1/cR9Wnpa+8DNR/YaZClybSvr0i/0ScHtWRVAyofPPpyP6afk2DX eqiNsBXwiRAy1vXb5zcUP57Uq/lArVPzQbZe5FPGmGNURz9Z1bqb2AiT0vWHtgAAYAIIzPYcn5hG +OBC0MQ0wn99S4IzOW7HifosEbX3AY4mq/6TXk02xd4o8NF5+ECpNVmtlXsb+9Z6qI2wFfCJEDLW 9dvnNyJafKDg+xrqU8aco7wW/P1gUxthUrr+0BYAAEwAgdmeUwoULFEwJe1aAywJNqQPGwQNCdCi 9n2Bmk9eS4FP6V39bSWrtbUeaiNsBXwihIx1/fb5DcsmPlBeD/UpY/oo9aFSv+b7h9oIk9L1h7YA AGACCMz2nFJAIMfvuOOOg8dnRcGUlPuvi1kkAPEBypBkta99ZLcmqGnrHLyjbwNCrW+PCX4cS19Q OTRZjWzW47LW69gIo4NPhJCxrt/WZHUdH1jyQa0+ZYw5ih++++67T9q2ts9NbYRJ6fpDWwAAMAEE ZnAQPPl302+++ebTNkiKgilp54MJqStBify0ffq6pT6VvvY+AJJ38b/yla+cLSXPgvSRttXFd/D1 nX//NTVF6quNOp60VzukvBZ0ehu1z9paD7URRgefCEXGuH77/IY9PsQHahvtyz6rv88my6ZzlGT1 iiuuOK/ttVzrj2EjTEbXH9oCAIAJIDCDAzRYUDRosMd9Yhq1swGL/ZSz9JznqM++9tGznjW40WOK 718CJVuu84ywCaoEV7fccsspm6hqHxJ42n6l7gMPPHBC2wp2nNJaK0NshNHBJ0KVTa7fPr9hE9ah PlDaWJ9lxx3qUzaZo9gtSWhknzCWjTAJXX9oCwAAJoDADBaDffdfkcDoG9/4xil7DKACPhEAYEXX H9oCAIAJIDCDRSB/3xR9ZYxkFQaCTwQAWNH1h7YAAGACCMxgEchXyPzfWclXg2+88cbT/m/BACrg EwEAVnT9oS0AAJgAAjNYDP5vnnzyCtAAPhEAYEXXH9oCAIAJIDADADgEnwgAsKLrD20BAMAEEJgB AByCTwQAWNH1h7YAAGACCMwAAA7BJwIArOj6Q1sAADABBGYAAIfgEwEAVnT9oS0AAJgAAjMAgEPw iQAAK7r+0BYAAEwAgRkAwCH4RACAFV1/aAsAACaAwAwA4BB8IgDAiq4/tAUAABNAYAYAcAg+EQBg Rdcf2gIAgAkgMAMAOASfCACwousPbQEAwAQQmAEAHIJPBABY0fWHtgAAYAIIzAAADsEnAgCs6PrD dOAXifefe+65E7kSAMC2eDlxPvFidkGzU7INnwgAU4FPBABYEfvDdOC+xJnkhN5MP6OGAACjkIOd 9xKPZhc0OyXb8IkAMAn4RACAFUV/mAq+ng6+lX6e0coAANsg+ZlTR48ePZ1+/152QbMTPhEApgKf CACwougPU8FvpoO/TJxLnJTKAABbQN4xO5d8ziuJ38kuaHbCJwLAROATAQBW1P1hOijvmp1MP6XS a6YhAMAYHHy1I/mXN44ePXpHdj2zFT4RALYMPhEAYEWbP0yVfpI4cETp59s4IwAYAXFApxIS4LyR fv7i+PHjv5LdzqyVbMUnAsDY4BMBAFYM84ep8JOp0rcS8p+Y3k6cTci/DwYAWIcPEvJO2TuJV9Lv 39uVoEyETwSAkcEnAgCsWN8fPv/885+TBolHE1EWDADQijzy4E+OHTt2XXYxOyd8IgCMCD4RAGDF zvtDhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhLavH/7whxd6 +PVcFSGEFq2//du/fTxxocTf/M3fvJirIoTQ4vXoo49eqPHwww8TIyKEtqsgOfXgiBBCe6GUkJKs IoRQVpSgWkhWEUJbV5CcenBECKG9UEpISVYRQigrSlAtJKsIoa0rSE49OCKE0F4oJaQkqwghlBUl qBaSVYTQ1hUkpx4cEUJoL5QSUpJVhBDKihJUC8kqQmjrCpJTD44IIbQXSgkpySpCCGVFCaqFZBUh tHUFyakHR4QQWrSefvrp30+J6HckGY2SVCWVvyn1pH5uihBCi1WUoFpIVhFCW9Of/umffj9ITEOk bm6GEEKL0zPPPPNbkohGCapH6kn93BQhhBanlIh+3yemFYgREULbUUvCSqKKENoHtSSsJKoIoX2R JKEuKY0gRkQIbVe1hJVEFSG0T6olrCSqCKF9kySjLjm1ECMihKZRlLCSqCKE9lFRwkqiihDaV0lS 6pJUElWE0PSyCSuJKkJon2UTVhJVhNC+S5JTElWE0CWXJKkkqgghdDFhfZFEFSGELiasxIgIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEII9er48eOfPHbs2HXPPvvs t44ePfqj9PPFxEsAAAP5SfIh303+5MYjR45cnl3MzgmfCAAjgU8EAFixnj98/vnnP5caP5E4mTiV OJv4IPEhAMBAziZHdPq55557I/3+QnJI12dXszPCJwLAiOATAQBWDPeHqfLXE6+kBu8mzqXfxQm9 no9FGTEAQEhyOi+nnyfFjyRnJMHMe4kTifuyy5m98IkAMBb4RACAFWv5w1T4xcSrqdH59PPthHQS DgAAMJTkmOSds3OJ19LvN2bXM1slO/GJALA18IkAACt6/aH87UEq/EXiXclwpREAwNgk/yLOSN49 +2XiV7MLmp3wiQAwBfhEAIAVVX8oGWw6+Hri/QTvlAHANjmTeCtxW3ZBsxM+EQAmBJ8IALAi9odH jx79rvyBayrg3TIA2DbyNwpnks/5UXZBsxM+EQAmBJ8IALAi9oep4NGEfOwq/9ktaggAMArHjh17 OTki+buEF7ILmp2SbfhEAJgEfCIAwIqiP0wH5PlYH0gFrQwAsEXkX5a/lF3Q7JRswycCwJTgEwEA VnT9oS0AAJiAuQdmF20EAJgAfCIAwIquP7QFAAATQGAGAHAIPhEAYEXXH9oCAIAJIDADADgEnwgA sKLrD20BAMAEEJgBAByCTwQAWNH1h7YAAGACCMwAAA7BJwIArOj6Q1sAADABBGYAAIfgEwEAVnT9 oS0AAJgAAjMAgEPwiQAAK7r+0BYAAEwAgRkAwCH4RACAFV1/aAsAACaAwAwA4BB8IgDAiq4/tAUA ABNAYAYAcAg+EQBgRdcf2gIAgAkgMAMAOASfCACwousPbQEAwAQQmAEAHIJPBABY0fWHtgAAYAII zAwPPfTQq5/61Kc+vP3229+Mykvce++9J5O5F4TLLrvso5/97GevRPWmYt157DItc/72t7/91rrn Z5O267LpedzHfSBsOG984sKp7Q8t+/KXv3zWl23CUP+xr9duiaeffvrlyy+//IOvfvWrp6PyKfH3 +/vvv/+1oedqh85v1x/aAgCACdjZwOzIkSMvfelLXzqbqh3cNOQmJjeRVucv7W+88cbTTz311Mt6 bJ0biIz5mc985pz0o+0v5Q3V3kj3KdDpO3c33HDDO7Im6yScm7TdhE0Dml0IiKLrcBNG2P876xPH RPdOGvJgLT/xiU989IMf/OC122677U35GbXZFWrXhSSVY/vvof5jX314CU1UZT0udbIa3e+vueaa d4f62V3wzZmuP7QFAAATsLOBmQQAetOQ1xJkpCbNN3e5WXz+859/b9MgWewY+134TdmhG+Gk7Non q/vAWNehZcP9v7M+cSw0ubLrp28OatJq6y8FmeM3v/nNt6KyTeGT1c3Q/Xepk9U53u+3TNcf2gIA gAnYycCs9JUgCQhab+4+2V0XktXdQd4VXzfh3KQtlBnrOrSQrK5P7U0/SRi+8pWvnF1ysvrTn/70 1ahsU4b6D3z4xyFZvWR0/aEtAACYgJ0MzDRZ9Td/CQjszV1ep24Ovk4laJkGZIrefKIAwfYh9W69 9da3JLDWulE/pXEVO370SYUt93PU4P6uu+56XcqjG2ffPISWOWq5oMGClNu51+YWBWebzL1mZym4 k/XSNp/97Gfft332nadaW2FdWy1D5tR6DpRoTXT/PPHEE6/oV+ukPy2T1/a82DeGdL59503wQWW0 b30btaN2XqJ+tEyJ5t13rg076RPHQM917c0DWUe/dqXrYAyfUTrffefT9un3a7Q/fBvB7uGh156g 15Mw1H+UbFR0XVqvYyFaM52XHtM5a11rV219hNq1WZurtUva1O4/Q/yQHWfTvWjbKDq/lv00xh5s Wact0PWHtgAAYAJ2NjCzTt3fNAUNvPRmoDdSce4PPvjgCWlvgzJ7I9A20sfVV1991taxbewNUF5r m9K4/rW2tzdFKdf5aLnUf/LJJ1+W38W+K6+88vy11157xs9B8TfCmk19c7TtdWz92mY0t8h2W66v h8xd6tfsjM6dH0/noOPV1qSvrZavY6u8VobMSW3oOweKb6826jGdi9STQOqqq646Z+vJnrZjSrAt 843OW+lakj7suH7f/tmf/dlrvq2O6c/Ltva/bZfZWZ+4Kfa8ReURpevAJlHr+Iza+da+S+fTvvb7 1V8XUl+o7eGh155gy7R9q/+QY6Vkxl5PQst1LO1q14CW+fN+0003ndYEq7Y+1qbo2qzNVcZu8ZXa ruaHSuNsuhe1XI/ZdSrtJ9u3t7XUpm8PtqzTFuj6Q1sAADABOx2YWacvWMcvN/tPf/rTH9qbrb2x +RuDtrEBQhQw2Hczo5tXbVxfJsgcbLncVNVGLbdz8/OIiOZRs6k2R4u/uds17LPd26DlrXPvs9OX R+PVzkXfefLlm9iq9NWLymvnQOsoLe19ECvYPkt7XPuNxtA+7KcJdv18PWuP9Fc6L9HrCG9TX5+O nfaJm6B7WAN2i6yZlCmyH2Rd+/zVJj5D6/tzVTufvkyQPm0fUsfvj5Y93HrtRTZ4G/vmXbJJGXod e5usPdFrmxy1ro/vQ+iba9R35Ctb/NC292Jkg+DnIK/H3oN/9Ed/9GbLOm2Brj+0BQAAE7CIwEwc eqp+EERFgZbcpKTM35x9oBHdMLRt1Hfp5qX4cf0Ny6M3xwgdO7LbU7rxCdFa1OZokXp2rtaWPtvH mHvNTj/naLySDS3nyR7b1FbLkDlp/dI50GNK1N7Xb01WrW3aRo7JWtiAVdE10n5Ldtbs9+elr74y dP87FuET10HPWcmf2fMur1uvg3V9hq+vfVj8+ZQ+K+f2gMhXtOzh1msvssEe034jdN61PSz4sfuu Yz0mRNeAby82Dl2faLyWuao99pinxQ/Zvi12nE32YmuyKn1tYw+2rNMW6PpDWwAAMAE7GZjJTcP/ 10a9kdibhDp3cfRyY7Jl0Y21FCBo39KX7aN08yqNW7ohKVIeBReWyG5PNI/aWgilOVr6bvY1u8aY u1Cy0885mqOMYY+V1qSv7aa2ttYrnceWgFmI2vv6fUGu2tYXJNr2QnQ+Ijuj47W9WurHss7+N+yk TxwDXbfS2tjzLq9broNNfIZQOt+l8yl91vyM4PdH6x5uvfai/SVjWBv75h3tYYsfu+86ltd914DW l69gy+NYtKx1ffx4QstchT5f2eKH+sbZdC+qDbYPIdpP29qDfeu0Bbr+0BbAvOlzJOtQ61PL/EUy lDHsjpzcFAy1fRvnaIHsZGAmDtveTBVx+DYgsPvU79voxur3jNwM77777pOl8ujmVRu3tCfl+B13 3PG6/PRfH/JEdnv8ODWb+uZoqd3s+2wv9SvHW+beZ6d/Hd38W/dHX9tNbW2tF7VrDZiFqL2vLzYM TVbt/HUMf2+K1jey0x+vnZeofoSfd1+fjp30iWMha5OGCT+50b2iZXYf+LrKJj5DiM537Xz6c6/I cfEz+ruto6/79nDrtSftZA2tDbavlnmX5qH4sfuu45ZrQPv42te+9rb83akeb12faD365trnA5UW P7TtvRjd7wVvc2kOcnzdPfjII4+82nqfHpmuP7QFcIhukLREnY/nhcipbhN1RMKYG6W2+eSiGmOe m25wudhl3t7JrYuc29YHwg+xfVvnaIHsZGCmPsHuQ38jkWvGvrspe7d0Y73zzjvDG4jcSK+44orz 2oeOoeV+TKFvXHnt33W9+eabT9tyf31JnzqmtVvLPX4eNZv65miRdqWbvZbXbN9k7n12RudOAi/b n/SVttXBf2aUYKy2JrW20mYTW5WhcxJk3No5sETtfX2da6mO2mTnKjb48y5ro31oG3vPKtlpj8t1 KK9L56XWj2XI/rftMjvpE8dEz6dfZ90r9rxGaynrrWsv5Zv4jOh8951PeW3LBetnSteVzLm2h/vm omzqP+T3yEaLH7vvOpbfW66BaO30eN/6eJuU2lz7fKDix9PX9nz0ramUb7IXozGF0n4acw+2rtMW 6PpDWwBdJAHxJ19Prr1gpqDPkYyJbMptPah6HeTijZzcOsg66n9mi8o3YcpztMPsZGCm14TeoFPV gzcm7E3El1133XVn5Kf6EN0fckz2iH2tx6QPCaBtP7qffP/ab9+40lb9luL3qC9X/2aPl65BP77O o2TTPffcc7I0R4sdW9ZZ/IC+9jd8PS5437zu3GvnIjp32sbWl/8k2Xqeam03sdUydE6t56DU3td/ 4IEHTtTGkDr6X1nlmwxa148l2L4FO1/bp9+3/jqsnRf5T6d6fKz9b89nZid94tj4/aNEsVbpOmjd ry3t7fluOZ++T92PJV8htO7hvmtP8DYO9R9+D2sbYZ3r2P5HXKF0Dcj6lGKyda9xXy4M9ZWCP3dT 7kV/TnTdavvJ96Vl6+zBIes0Ml1/aAugS5Ss6gaKnMU20c02xWaRwHxbD6peB/1aQhQoDEUu5m2d uynP0Q5DYAYARey7+1H5AsEnwt4icdM3vvGNU1EZ7CVdf2gLoEuUrGpCEiU89h0KTa7sOx3axr5j ojdk/+6Gv1HbRMi2l3dspFzH8XbZfktz8clVzRYNJGRcbS91SgmaH6O1vV03eYdQ1lO+Q98yb/uV XKmn/27bz8v2Ie39g6Wj9bF9C7astJ7wMQjMAKAIyeq8ZG0EGBuJl8b4IAIWQ9cf2gLo4pNVTRJ9 0idIwqM3V73ZagIlZf6TQUls9A/KJYmKki1NmrR+KenTOr4fTcLktdZXO2zSZZOrmi02SW55ULUf o7W9fa1t1O6+eUv90oOMH3zwwRO2rval9tgHS2viqrZLX2qLvvZ2k6w2QWAGAEXUL5OszkPWRoAx kZjq+uuvfycqg72l6w9tAXSxyZYSJSKSpEgSY5NRbSv1oyTmtttue1MS3lKCI0mTTYqHJqtS3/+n MbHJJs2+z1ZbfJJmx7XthKjPWvvIbilvTVaj8eyDjCNbbf96TIjWx9rm20VjQwcCMwAIsW9oCtbP Lxh8IuwVEjulrVX8O3DYa7r+0BZAF0nuNEnTm2h084ySWkXfHfafFuq7SXaMqE+bKNlEqC9p84lp hO+z1RaZS2lcPaZECVytfWS3PdY3b3kt/fv1L9UtHRNqyaeOQbI6GAIzAIBD8IkAACu6/tAWQBef vPmkzdYrJWuKbSvJkfZR6tMnPv51S7IaJZ4W32erLdtMVuX3TZNVQevJfGx/Ud2S/SXb7XkkWR0M gRnsJNH13XLNRz6tlU3aws6AT4SdRv2gjcs2gVhqr+n6Q1sAXaKET5IVf0wurNaH+37xi198zz7n s3SR2wTN1rMXby3pK13scnyqB1ULQ+2OEuYh48un1rUHGUe2luz3bb0d0q7vHEEHAjPYOdQvCfb6 7rvmxVdJG+snWtmkLewU+ETYaSQWGvNvzIml9pquP7QF0EUCFJ+Y2k/s7IUkgYUPKuQCtnWiREzQ oESP6xj24o8uXmmnSZaWSz9qh5R7+6d8ULVQGqOWbNp/qKTlYpPOpTZv+Y/BtQcZ27HkGVL+mLxW vO1Sz66n2GHtjOYKHQjMYCdZ9/oWv+HvDa1s0hZ2Bnwi7CwSY83pufyw83T9oS2AQ2xCqtjkyiZI Pnmxbfw7TdKvPOg8CjwkKLFtbUDk/+mEllk7JNm65ZZbTvnAxtsUtbXHhZottj9ZE1vXJ3zRGC3t /Xz9w61r85a2tQcZ27benijxtH14u+xDru+5556TpTHhYxCYwU6iPmHote2/kTGETdrCzoBPhJ1F 4to5PZcfdp6uP7QFAAATQGAGlxT7Bpl9E0ywX/cVoje6+o4J9k0wfU60Jpy1MfrawiLBJ8JaWF8W +Ymar/Plgv2ART+0kQ8V/Jv8rX0I4s/kQ4UnnnjiFX1DXz/8UV/nbSv51U3mY/2ujG+fEgGzousP bQEAwAQQmMElQwMnCVI0GNMgT785oQGSrSuvfQBlgx8bVNl22mfrGLW22j8sDnwiDEZ8hSZj6stK vsT7OimXxM7WV38miZz9Flntmfi1PnRMeS3o2FJHEs2rrrrqnPhBmxTbPoSSX11nPqXn72v/MBu6 /tAWAABMAIEZXBIk2aw9e9qXS/Bjg6Ho3X5/LBrD9lMbo6+tHoPFgU+EQYivkGTS+gVNzsQXRb7E +7rSJ5f2E8tacrpuH/4NO21j6/i+N53PH/3RH73py/lkdbZ0/aEtAACYAAIzuCTY4CYqt0iAlbZD +HfsNuDxx6IxSuP6MYa0hUWBT4RBiF9Ip+bg00ePfNra5zekPPoarfar/kx8lH7iKdiksrUPn4iu k6yOMR/1t7pGth7Miq4/tAUAABNAYAaXhFJAY9GARoIbCaBsgNSSrPo2gg+0SmO0tIVFgk+EQYhf sMldVF7zdVKeTu3FhFLx/qwvWW3pw7aR1+smq2PMx341Gb86W7r+0BYAAEwAgRlcEnzgYo/Ls6cl 4LEBjE8eo/ZRUJW20ceCJttvbYy+tnoMFgc+EQYhfsd/LdaX13ydlttEVPD+ppastvYxRrK66Xzk kYa15+/DrOj6Q1sAADABBGZwyZDgy79Dr8+eloDJlkldG3RFAY4/poGYD9bS1jr475XXXnvtmdIY fW1LgSnsPPhEGIz3T4L4C/VFNV+n5en0XnxzTD91tF+RlTqlZFXL+/rwbdZJVoVN5iNj1p6/D7Oi 6w9tAQDABBCYwSVFgxpFAxYNovR433OUNaCyx6J+7HOia2NE5f4Z07BI8ImwFt6X+b/FLPk6Rd8M i8ptW0lYbV2bWNb68G0eeOCBE95n2nFKdSKbfJkfz5aLX609fx9mRdcf2gIAgAkgMAMAOASfCACw ousPbQEAwAQQmAEAHIJPBABY0fWHtgAAYAIIzAAADsEnAgCs6PpDWwAAMAEEZgAAh+ATAQBWdP2h LQAAmAACMwCAQ/CJAAAruv7QFgAATACBGQDAIfhEAIAVXX9oCwAAJoDADADgEHwiAMCKrj+0BQAA E0BgBgBwCD4RAGBF1x/aAgCACSAwAwA4BJ8IALCi6w9tAQDABBCYAQAcgk8EAFjR9Ye2AABgAgjM AAAOwScCAKzo+kNbAAAwAQRmAACH4BMBAFZ0/aEtAACYAAIzAIBD8IkAACu6/tAWAABMAIEZAMAh +EQAgBVdf2gLAAAmgMAMAOAQfCIAwIquP0wHfpF4/7nnnjuRKwEAbIuXE+cTL2YXNDsl2/CJADAV +EQAgBWxP0wH7kucSU7ozfQzaggAMAo52Hkv8Wh2QbNTsg2fCACTgE8EAFhR9Iep4Ovp4Fvp5xmt DACwDZKfOXX06NHT6ffvZRc0O+ETAWAq8IkAACuK/jAV/GY6+MvEucRJqQwAsAXkHbNzyee8kvid 7IJmJ3wiAEwEPhEAYEXdH6aD8q7ZyfRTKr1mGgIAjMHBVzuSf3nj6NGjd2TXM1vhEwFgy+ATAQBW tPnDVOkniQNHlH6+jTMCgBEQB3QqIQHOG+nnL44fP/4r2e3MWslWfCIAjA0+EQBgxTB/mAo/mSp9 KyH/ientxNmE/PtgAIB1+CAh75S9k3gl/f69XQnKRPhEABgZfCIAwIr1/eHzzz//OWmQeDQRZcEA AK3IIw/+5NixY9dlF7NzwicCwIjgEwEAVuy8P0QIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGE EEIIIYQQQgghhBBCCCGEEEJo+/pP/+k/Xajx4x//+NdzVYQQWrReeOGFxxMXKryYqyKE0OIVxYUW YkSE0NYVOR8LjgghtC9KySjJKkIIZUVxoYUYESG0dUXOx4IjQgjti1IySrKKEEJZUVxoIUZECG1d kfOx4IgQQvuilIySrCKEUFYUF1qIERFCW1fkfCw4IoTQvigloySrCCGUFcWFFmJEhNDWFTkfC44I IbQvSskoySpCCGVFcaGFGBEhtHVFzseCI0IILV0pCf39v/u7v/uOJKMmMY14M9f7/dwUIYQWqygu tBAjIoS2pgcffPD7keOJkLq5GUIILU5///d//1uSiJqktMabUj83RQihxYkYESE0C7U4I5wQQmgf 1JiwkqgihPZCxIgIoVmo5oxwQgihfVJPwkqiihDaKxEjIoRmocgZ4YQQQvuoQsJKoooQ2ksRIyKE ZiHrjHBCCKF9lktYSVQRQnstYkSE0CwkDggnhBBCFxPWF0lUEUKIGBEhhBBCCCGEEEIIIYQQQggh hBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgihdh0/fvyTx44du+7ZZ5/91tGjR3+Ufr6YeAkA YCA/ST7ku8mf3HjkyJHLs4vZOeETAWAk8IkAACvW84fPP//851LjJxInE6cSZxMfJD4EABjI2eSI Tj/33HNvpN9fSA7p+uxqdkb4RAAYEXwiAMCK4f4wVf564pXU4N3EufS7OKHX87EoIwYACElO5+X0 86T4keSMJJh5L3EicV92ObMXPhEAxgKfCACwYi1/mAq/mHg1NTqffr6dkE7CAQAAhpIck7xzdi7x Wvr9xux6ZqtkJz4RALYGPhEAYEWvP5S/PUiFv0i8KxmuNAIAGJvkX8QZybtnv0z8anZBsxM+EQCm AJ8IALCi6g8lg00HX0+8n+CdMgDYJmcSbyVuyy5odsInAsCE4BMBAFbE/vDo0aPflT9wTQW8WwYA 20b+RuFM8jk/yi5odsInAsCE4BMBAFbE/jAVPJqQj13lP7tFDQEARuHYsWMvJ0ckf5fwQnZBs1Oy DZ8IAJOATwQAWFH0h+mAPB/rA6mglQEAtoj8y/KXsguanZJt+EQAmBJ8IgDAiq4/tAUAABMw98Ds oo0AABOATwQAWNH1h7YAAGACCMwAAA7BJwIArOj6Q1sAADABBGYAAIfgEwEAVnT9oS0AAJgAAjMA gEPwiQAAK7r+0BYAAEwAgdkaPPTQQ69+6lOf+vD2229/MypfKrV5a9mXv/zls75sE7797W+/ddll l330s5/97JWoHIaxT+u55nWKTwQAWNH1h7YAAGACFhOY3XDDDe+kJheUr371q/IswrDuJtx7770n dYy5J6tHjhx56cYbbzz91FNPjfKfQ2vBvyRBY6+5nlOS1XHYhfUca89ucJ0uxicCAGxI1x/aAgCA CVhUYCYB6ic+8YmPfvCDH7wWlY/FrnyyKnZ+/vOff2+sZLWEJBjf/OY334rKNoVPVsdl7us55p7l k1UAgI3o+kNbAAAwAYsKzEhWP458kvaZz3zm3BTJ6k9/+tNXo7JNkXNKsjoec1/PMfcsySoAwEZ0 /aEtAACYgEUFZlGyqsHvE0888crll1/+Qer2gv5dpX4t0rZ5+umnX5Z68pVW+RTKlwulIFjrCz4h GGqHUupTEsQvfelLZ6UPtUfqqE22naBjyRrZ47U5rDNvwX4duM/OCF0P4bOf/ez7fi1r66y0nEc9 J3fdddfrUq5rJNTmFNUZcu4Eex5k3FtvvfUtm6D1jd/X3jLGeipD5iwM2Qu+rZ6Pdc9Tab/2sCif CACwAV1/aAsAACZgUYGZTVY1ME7dHASxGoRrnauuuuqcBLE2gNYER+pLUC+Br5bbID4KgiWg1kBZ 20iA/eSTT7481I6+Pm3Ce+WVV57Xr01qUC+/P/jggyckkNfX0ofOT+229f1rP2+bHNl5+zG0nl/P kp3aj2LLtL1deymP1sT21XceH3vssVfld7Xr2muvPWPnUZuTjlFbKy0v2Sn2XX311Wdt/3a8vvH7 2lvGWE+lb86b7gW/Z3WMdc8TySoAwEZ0/aEtAACYgEUFZhKs+k97bDAsrzVoLiVcGiDbxMQHvdFr 6VODdkEDZ60z1I51+vTBu38tfX7605/+UNdHyjXZ8GWCjGeTkWjeUTIg/drz0GenEtngbexbE6Xl PNq+S3UUO6fITrtWfXZGY+gno63jl9rbNpGd665n1Jefc5/d8nrontVj656nqE4Pi/KJAAAb0PWH tgAAYAIWFZhJ8GwDY8EHv63Jqn7aZNvoMR8Ea4AfoW2G2tHSpwT+NhnzY/jXFmkrfWkSYBMPX1eJ 5u3XW49L31qvz04lssEe034j7PkSWs5jZEfLnCI7o7oR9tz5Y9q2dU2j9pbITnusxc5aX758jL0Q nZN1zxPJKgDARnT9oS0AAJiARQVmUQDrA91tJas+mPYMtaOlz3UCf01yZFwpt4lLFPxbSkm6nUNU r89Oe7wvuepbE2WTZLVvTn1r1Wqn2ijj+QSyb01L7W2bMdezZc5j7IXonKx7nqI1a2BRPnHuRHt0 m9T2hJbZ/TkGU8+xhTHmOsd5weh0/aEtAACYgEUFZlFA7QPddZJVubHbr0D6gMeXRwy1o6XPoYG/ rI8NLqRcX/s5KXL8jjvueF1/9/OOAh4/TmuyGiUgtq+WNVFazmNkR8uc/DooclzWqs9OOfd33333 SX1t+2sZv9betxlrPUtjyHGdc5/d8nqsZLVlvJLNPSzKJyqy7ql58ZPzEnIdjfmsZovaZPfHtqnt CdlnrevSyqWYo1I7d3KdRD64lUs5L5iUrj+0BQAAE7CowExuwGMlqz7Atn1EAY/U8Tdu6VfrDLVD Xvf1KeWtgf+dd975ury26+P7l9d+/W6++ebTWl6adzpVFxOiKEnss1PRNbE2SV3pX+3yNmsda5PQ ch5LdrTOqbZWNTtlnldcccV5bav963h94/e1V8ZcT6FlzpvuBfta9mxUR+kbj2T140T+sQ9Zw20+ q1nOrd9/lwLZO0t7VnTt3Mk1sak9czl3sFW6/tAWAABMwGICMw1cFQlY5WaqryXYfeCBB05I8KrH 5IZt20kd/e+911xzzbta1wbKmgDYPmo2yPF17NDxSn3a4xL8+zGkvQbrckzG8LZfd911Z+SnDWD9 eDo/25c9LtixfVmLnVpX8DbKf/P1AXZpTSyauJTOo+0jCrhqc1JKa1UqVztljpKIlfaRUBu/pb2t O8Z6Kn1z3nQv+D1r2ww5T37epfUJWIxP9KyTrMr6R9fpWNhPwqPyqRB/sbRnRe/LuYOt0vWHtgAA YAIWG5itS/RpEOwenEdYk8X6RJ+s6jUibxz4Nwmk3L8RoJ+IaxK07vOJ7RsQ+tzfRx555OA/U8sx O4689gmXHSNKvmvlOk//5kXN7r51iojmaJM6O15fwlerK+dUy8Q+/a/gfj66pra+oHNonWNtXqW+ tV3Lnmmdn5ar3VpHz5u2i9ZW38iSujp29AbeJnvc1unbo0Pn3Dd+X/uBdP2hLQAAmIDFBmbrQpKz DDiPsCaL9YkSxGrgbD95nuq5t4LtX23QYN0mTFrf92nba30b7NfKbRBvE6ma3S3rpP0otTlqufol tbHWV6mu9F163vKQ52y3PLfb1pfXfl6lvu1zxqM9s+785LWiY9t9I9x0002nfZKodcUeSbZlbLtP 9ukZ3I10/aEtAACYgMUGZuuiNw+9mcBuwnmENVmsT5TAtfQJUikY9q/1mA2+hdonljqm1PH/0Mv2 pddsKVmN2suctH1fubz2drbYLa/71knpm6OUS7Jk104TDm9DX93IdvspmrfR22btkte1ObbMq9a3 fy1sOj+L798nbZZon/mxSvb27RW/DoLfo+vOuXX81jVrpOsPbQEAwAQsNjBbB/uuq+DfqYXdgPMI G7BYnyhBcZSslpLD6HXpWNS3Hk9mHwTiNmi35XqsL1mN2lv6ygUfzEubPrvldd86KZEN9pj2G+Hf WGupK3b5Y0rJRkHbWVtrc+yblx4Tor5Le0Zt97TMz6I+355Xm7BZojcytb0eK9m7zh6P6kb0zbll fHndumaNdP2hLQAAmIDFBmYAAGuwWJ8YBbu1BCV6XTrmA2bFJofSrpbwtCSrUbCu9JULUbLaZ7e8 7lsne7w2R/k9ahfRWlfXTeZhx45s1EQmOh+1OfbNS9uX+o5s2XR+Hh1Dvnos/1ivVG+TZLVvr0id vj267pxbxq+1t20G0PWHtgDmQXSBbpNo0/ky60zmTGntxpxHbb2gicUGZnNh0z3a0n4KP1WzQ2+i gthx//33vzbldVmzTcvm4jcjW1vOcQtj9dPKpVj3Cfb6Yn1iFEiPlayWzreMqecrCrZtubyu2VPa b3LcPuu3VK6/2zr6uma3vO5bJ6VvjjKe/5poib66kmDVnrfsbfRzkvLWOfbNq6/vaL02nZ9HE86v fe1rb8vfmkZ1hChZ9baU7O3bKyUb5ficnsE9gK4/tAX7hr4jo7R+dC2bjgdWz4/a2o05jxEuxH1n sYHZHNAbvLDuHu3b49vwU5FfLdkhc9SbutbRx8VMdV3uit8s7Yex/NhY/bQy9bpPdE9erE+U/bdJ srrpc281mbDnT/qSNmqX9OH9iZRrGyn3c/DP+q2VR3u2z26t05Ksts7R72GpE11HtboyVu15y9bG 1udsl+bYNy9JDmt92760/6ie1m2ZX4T058+/R/vxc7f21ext2Svehrk9g3sAXX9oC/aRyJH2IY6H B1bPk2jtdnEeC2exgdlcmCKBGNtPDfGrcvP07/TOhTn6myn2w6Vmm+s+wT15kT5Rg1xFglt7TK5h WVt9rYG67lc5JnvWtonOg+1D29hyTXq03D/3144nNtxyyy2n/Dh+Ln6MUrnt27er2d2yTlpX6Juj 71OwyY6nVFfGqT1v2Z87b5d9zvZVV111To+X5libV2vf0Z5Zd34RMue+e5cmcPv+DO5Guv7QFuwj 6ySrcsIjZzEWYtOWb4xNyMW1rQdWb4to7XZxHgtnkYHZnNCAYcMbRpWx/dQQvyp155yszs3fTLEf LjXbXPcJ7sn4RIAdRfzrN77xjVNRmaLJau0NArhI1x/agn3EJ6u6oSQQ8u8QSbl/d0EDJg20eGB1 HAzJOtu+amN5+/raRmtngwrbty/T82af+eXXep31GjqHPWOxgZm+0yvXiu6HIXtB96P3I0P3T7RH h/RR2uPrXmvr+lVvh23bV1fZ5LqstW0ZT1C/2eoztZ5vr7b6NVdKay9EtkbHxvCHLfOcct2Fofcr Yd29viaL9YkAS0f8SN/1rz7I+iUo0vWHtmAfkZum3gztVwpKDynmgdXDH1it9bV/X69m35C2fu20 3AeLUt8+NFqw6yH7Qb5CImP69S+t1yZz2EMWGZjZ60KCW9l3rXuh9hBzTRyG7B8f0A/Zgy17fMi1 1vLw9+hh8iU7/DVZq2vHGHpd1tqWxivN4Qtf+MJ7fWugfQhqm52jED1wXpB+orXXfv1+8PZrGz1m 5znEH6rd8ro0zynXfZ37lRDZ27LXo74aWaRPBFg64h+uv/76d6Iyi/oJ9RtQpesPbcE+ojdjGwD4 m5i/EfrXeszezITaO8A6ptTx/6XL9uWDAy3X8aP2Midt31cur72dLXbL6751UrwNdn5D7e9r68sl yNB5at9p218MdPwcfCAl+HlJv3691p2D1t8zFhuYRder3S99eyHaG+vsHzumvh7SR197wfYh5UOv NWnf5z+8HUK0xlHdyOZNfIttK6+j8bytgvSrfrPVZ2qZHU98U/TAeRm3b+0j26JjY/hDoTZPqT/1 usvr1rWPbPA29q33GizWJwIsEfEJ6dJo+laF+lGpL/h7F3To+kNbsI/ITSZKVkvJYfS6dCzqW4+n pT+4sfkbsZbrsb5kNWpv6SsX/M1e2vTZLa/71ilC2kgfalOLfUpLW3tM7Y3Qd7e8zesEZ5vMIaqz Byw2MIvePdU95d9RjfZC3zXUun9KAbzQ0kfLHh96rcm4Q/1qNI/WZHWT67KlbTRen9/sWwOL90XS j10HRfuP0LWP1jE65u3ZJFltmedU6y6vW22KbLDHtN8If40PYLE+EQBgIF1/aAv2kehG13dTi25y 0TF/s1TszVba1W6MLclqdKNW+sqF6ObfZ7e8HhJ4aVDi59xiX6lt39rJ7yV7FG/zusnqunOI6u4B iw3MWpLV2l7we00Zun/8HhWG9OHbR/WHXmsy/lC/Gs1jSLK67nXZ0jYaT/sq1etbA4+W1x4437L2 0TpGx7w920pWp153ed269tYePSZjDNnra7BYnwi7gV4v3q9uSuQfAHro+kNbsI9EN8e+m1p0k4uO lS5+f+NLp+FjN1pbLq9r9pQcgRyf0wOrbTupp6/77Ku17Vs76cN/ncvjbV4nONtkDrb+HrHYwCxK Vu0+7NsLfq8J6+wfvyeH9hG1T0uz0bW2jl/1dgityWrUVo/3XZd9bfX3aLya32z1mYr6o9oD52Xc vrWP5hMd8/ZsI1m9FOsur4fcrzbd62uwWJ8I80F8p3+WtSLXwwbfDChSuqYBKnT9oS3YR+QmtEmy Ks8Wiuoo0lda5os3Ph/MajDgb97SRu2SPrRvvfClXNtIuZ/DnB5YLcft+NLOBxEl+2ptW9fOlmsd nZe3eZPgbJ05aN09Y7GBmV4nfn/r/unbC36v6bGh+8fv0aF9+PZjXGtSPtSvRtdaa7IqyJh23kLr dVlrK7+XxpM10WPeb/atQURkh8fbLti1j2yNjnl7tpGsyu9Tr7vWaVn7Mfb6GizWJ8J8kGtH/8GY PS7XC8+ihxnR9Ye2YN/QG5wiNzZ7TG5sepMS9MamN0s5Jjcn28bfwATbh7ax5Xpz1HL5T6L2Zm3H Ext27YHVfn72wc02YNFyQcfqa9u3dlHfGsB4mx944IETfi1s21Kd0jitc9D2e8RiAzMNkksP/q7t hdJDzIfuH19f9uGQPko+wfcx5Fqzx1v9amSHt0HHr/mxTa7LUtt1/GbLGmgfFhkrCjA9pbWP9kNk /1j+sG+e9r9DC9ted99fy9pvstfXZLE+EeaD7Nlov8t9i2fRw4zo+kNbAAAwAYsNzKJPdAA2QRK0 vgfOw86zWJ8I88C/mSNv2kRlfR+42Ddt9H4nfdk3kuwbRXrcHhNKfUblgr+n6tf1BRn/1ltvfavv DT3YGbr+0BYAAEzAYgMzklUYGwnyfPAIi2OxPhHmQfQsa0E+bdX7ld6/bB37aayWS0L7yCOPHDzC KW2P4vOLbULpv+kQ9al+ztup/WiCLd98sI/xknJbH3aerj+0BQAAE7DYwIxkFcZEgrKWB87DzrNY nwjzwSeB8qmnJJz2zTBNDCW5lHL/z8Sk3CaW/qvF0Rj2k9W+PmufxOonsFEdPlldFF1/aAsAACZg kYGZ/zs3+zUrgCFIYCZ7KPpKHiySRfpEmBelTywj5A1Xn5hGSLLqv1JcS1b7+pTy6GvBaqv2I+Na W21d2Hm6/tAWAABMAIEZAMAh+ETYOlGyal97SomjZZ1ktdanT0qV6NNU/SaT1OeNvUXR9Ye2AABg AgjMAAAOwSfC1okSydozg6MEUY/rc4+HJqt9fWq5/2aSJLGakMq3mO6+++6Ttm3UJ+wsXX9oCwAA JoDADADgEHwibB2bSOqzrCXZ9J9KSj1N/KTcfxJqn3s8NFnVNn19pm138dNV/78gJFm94oorzmt7 LSdZXQxdf2gLAAAmgMAMAOAQfCJsHU0c0ynt/HdeOab4vwH15TaR1WOSsEqiqq8lYV3nufSK7cuX S7Iqybb9HxG+Pew0XX9oCwAAJoDADADgEHwiAMCKrj+0BQAAE0BgBpcU+669/wqcvOMvnwrcdddd r0u5fsWtdNz3J0SfTLS09bboPxvRNjyeYbHgEwEAVnT9oS0AAJgAAjO4ZEjiqMmk/q2TJJJPPvnk y/qfJeUh99dee+0ZSSR/4zd+4/xv//Zvv++PSxtJHO3v0qcmmJJc2v9WGbUt2SJl8lU3Hny/N+AT AQBWdP2hLQAAmAACM7gkyN9s1R6CL68lmYwegxAdL/0XSqlr/4FIqW3fA/l933yyuljwiQAAK7r+ 0BYAAEwAgRlcEuzXaj36Caf95NO2jY5Lf9EzA6MEOGrrbVDUFvnk1R+DRYJPBABY0fWHtgAAYAII zOCSIAli31dphyaract0/hOl/1S01LbPFsF+lTj6xBcWAT4RAGBF1x/aAgCACSAwg0uCJJG1h+AL Q5JVTUrtP0wSJBG1iWWpbc0WHny/V+ATAQBWdP2hLQAAmAACM7hkyFdr/SeUkkzWPgWtHdev6mp7 /STUfm231rZkCw++3yvwiQAAK7r+0BYAAEwAgRlcUuzfggrR34jaJLJ0XJEEU8sFm1D2tS3ZwoPv 9wp8IgDAiq4/tAUAABNAYAYAcAg+EQBgRdcf2gIAgAkgMAMAOASfCACwousPbQEAwAQQmAEAHIJP BABY0fWHtgAAYAIIzAAADsEnAgCs6PpDWwAAMAEEZgAAh+ATAQBWdP2hLQAAmAACMwCAQ/CJAAAr uv4wHfhF4v3nnnvuRK4EALAt5DmT5xMvZhc0OyXb8IkAMBX4RACAFbE/TAfuS5xJTojntwHAVsnB znuJR7MLmp2SbfhEAJgEfCIAwIqiP0wFX08H30o/z2hlAIBtkPzMqaNHj55Ov38vu6DZCZ8IAFOB TwQAWFH0h6ngN9PBXybOJU5KZQCALSDvmJ1LPueVxO9kFzQ74RMBYCLwiQAAK+r+MB2Ud81Opp9S 6TXTEABgDA6+2pH8yxtHjx69I7ue2QqfCABbBp8IALCizR+mSj9JHDii9PNtnBEAjIA4oFMJCXDe SD9/cfz48V/JbmfWSrbiEwFgbPCJAAArhvnDVPjJVOlbCflPTG8nzibk3wcDAKzDBwl5p+ydxCvp 9+/tSlAmwicCwMjgEwEAVqzvD59//vnPSYPEo4koCwYAaEUeefAnx44duy67mJ0TPhEARgSfCACw Yuf9IUIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEELb16OPPnqh xsMPP/zruSpCCC1af/u3f/t44kKJv/mbv3kxV0UIocXrhz/84YUeiBERQttVlKBaSFYRQvuilJCS rCKEUFaQnHqIERFC21WUoFpIVhFC+6KUkJKsIoRQVpCceogREULbVZSgWkhWEUL7opSQkqwihFBW kJx6iBERQttVlKBaSFYRQvuilJCSrCKEUFaQnHqIERFC21WUoFpIVhFC+6KUkJKsIoRQVpCceogR EULbVZSgWkhWEUJL19NPP/37KRH9jiSjUZKqpPI3pZ7Uz00RQmixCpJTDzEiQmg7Sono931iWuH7 uRlCCC1OzzzzzG9JIholqB6pJ/VzU4QQWpz+9E//9PtBYhoidXMzhBAaV5KEuqQ0AieEEFq8WhJW ElWE0L6oJWElUUUIbV2SjLrk1IITQgjtjWoJK4kqQmjfVEtYSVQRQpNJklKXpJKoIoT2UlHCSqKK ENpXRQkriSpCaHJJckqiihBCH09YSVQRQvsum7CSqCKELplywooTQgjtvXLC+iKJKkIIrRJWElWE EEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEWnT8+PFPHjt27Lpn n332W0ePHv1R+vli4iUAgIH8JPmQ7yZ/cuORI0cuzy5m54RPBICRwCcCAKxYzx8+//zzn0uNn0ic TJxKnE18kPgQAGAgZ5MjOv3cc8+9kX5/ITmk67Or2RnhEwFgRPCJAAArhvvDVPnriVdSg3cT59Lv 4oRez8eijBgAICQ5nZfTz5PiR5IzkmDmvcSJxH3Z5cxe+EQAGAt8IgDAirX8YSr8YuLV1Oh8+vl2 QjoJBwAAGEpyTPLO2bnEa+n3G7Prma2SnfhEANga+EQAgBW9/lD+9iAV/iLxrmS40ggAYGySfxFn JO+e/TLxq9kFzU74RACYAnwiAMCKqj+UDDYdfD3xfoJ3ygBgm5xJvJW4Lbug2QmfCAATgk8EAFgR +8OjR49+V/7ANRXwbhkAbBv5G4Uzyef8KLug2QmfCAATgk8EAFgR+8NU8GhCPnaV/+wWNQQAGIVj x469nByR/F3CC9kFzU7JNnwiAEwCPhEAYEXRH6YD8nysD6SCVgYA2CLyL8tfyi5odkq24RMBYErw iQAAK7r+0BYAAEzA3AOzizYCAEwAPhEAYEXXH9oCAIAJIDADADgEnwgAsKLrD20BAMAEEJgBAByC TwQAWNH1h7YAAGACCMwAAA7BJwIArOj6Q1sAADABBGYAAIfgEw0PPfTQq5/61Kc+vP3229+Mykvc e++9J5O5F4TLLrvso5/97GevRPXGoGajln35y18+68s24dvf/vZbQ+a17joqUftN+4RLz9B95Jlg D3T9oS0AAJgAAjMAgEN21iceOXLkpS996UtnU7WDJPGrX/3qaUkaWwNZaX/jjTeefuqppy7+p+F1 gmEZ8zOf+cw56Ufbiy1R3TGo2SjJwNhj33DDDe/I+rYmGTZxXyepKLXfRqIS7QFYMfbaDN1Hnk33 VSNdf2gLAAAmYGcDMwCALbCzPlGCX00S5bUkaqlJcyAryc/nP//59zYNxsWOsT/JXAdJLr75zW++ FZVtyhw+Wd0GY+2BJbKNteGTVQCAfnY2MAMA2AI76ROffvrply+//PIP/KeIEgy3BrI+2V2XOSWr P/3pT1+NyjZFPtVaYrI61h5YIttYm6H7yEOyCgD7wE4GZgAAW2InfaImqz7wlWDYBrL2q4OClumn sIomm1EwbPuQerfeeutbEsBr3aif0riKHf8Tn/jERz/4wQ9eay0vBex+TjaRl0RWvjIt9lm7fR8W SVa0r89+9rPv+7W24/mylqRi6Bxb5m3t6JuzXy89d7U+Fe1b6+ha63mP2kR7QvexvNbxdd1toqiJ 4xNPPPFKqX7fPtrG2gh9XzvfZB95oj1Qu9ZK166WB3T9oS0AAJiAnQzMAAC2xM76RBvkRgGzJgIa vGrAL8Hqgw8+eELa24TABrbaRvq4+uqrz9o6to0N+uW1timN619rexuk18ojG4XSXMQumxBdeeWV 5/Wrnd4uiy3T9t5GXXO10fZVSiyVvjXw7UvzLtlhk7rSnKM9UOvT1hF0Xey5F2666abTPmms7Qkd wyeEUv7kk0++LGU6d7sPJDm96qqrzkmfUR/bWJvaPtM6FtvnOvvI4/dFbV2lrHbtFuj6Q1sAADAB OxuYAQBsgZ32iTaJEWwiI4Htpz/96Q81cZBA2wbKUTDug+Eo6bKfzkRJQm1cXybIHFrL5XWLjYKM az9ts4G8lkfBe2SDn4MkCGqPoOehzyYtGzrH6FiLHX1z9q9b+rTYdZHXPkFS/Jxtu1qyqv34efgk zbfZ1tq07DPFz1nrDtlHHm+DH8P37+3lk1UA2AV2OjADABiZRfhECVJT9YOEVT+psUhgLmU2sfDB uBAFuNo26jtKNCx+XJ+UefrKBW+jtImShSg5qSVESmSDPab9Ruj6ROsY9eXLlKh9NO/IBkHt6Juz f93Sp8UnjdI+mrPF74mWZNW/7ktWt7U2LfvMHt90H3lq+8qvqz1W69PR9Ye2AABgAhYRmC2FloAk Qm6ifcFOiU3aboO++basxzaZcvw5nJtt2HCpz2EPO+kTJcD3//lWg/4oWJW19+dWXttgXCidK+1b +rJ9lJLV0rilgF/pKxe8jRr0e5t9vb7kxB7314BPMqJ2ltqeX2eO0bEWO/rm7F+39OnRPuQru9dc c827dt0spT2xrWS1bx7rrE3LPlOk/ab7yBONVVpXLS9duwW6/tAWAABMwE4GZptgHbXS4LC3jt74 BHvjqQU5gt6Y1pnDJm23QWkNLH3rESHnfKzn460z/jpsem7GmPM29kfLOb7E7KRPlPMdJQY+GLbn 0geyPhgX/H6XpODuu+8+WSpX/2qD/tq4petJjt9xxx2v95Xr77aOvrY2CN4O2d+15ETRPWttsH3J eP7rnZ7SPGplcrw0x+iYvO6zo2/O/nVLnx5NHL/2ta+9fe21156J6vTtxaF29iWr21qbln1mj2+6 jzxqg/ZZW9e+a7dA1x/aAgCACdjJwGwMxKn3vZs9NY03jw72hhSV19ik7TZYdw1qSJ+7+OzATc7N WHPexv7YxjkekZ30iZok2nPlE0c5l9bnSXBu60u5BuN33nlnmCRJwHvFFVec1z50DC2PktW+ceW1 98U333zz6dbyaD9Jm7RcFxMDtct+9VHq1JITRRMhv1bSv9rl56R1dPy+Pb/OHEvzrtnRN2f7WvdA X58R0Xws0t6W+zHktdqh85T11jre7r5kNRpD62y6Nn37TBljH3n8HpC6pXXtu3YLdP2hLQAAmICd DMzGYEnJqn83dQibtN0G665BDblh26BjV9jk3Iw1523sj22c4xHZSZ8ogad8DVgD4lT14NNrG3z7 suuuu+6M/FQ/aJMCOTf2tR6TPiRQt/3oefT9a79940pbDfoVvzdK5ZGN2kYTgajM9idrZOtG142f gzxyxN8/vI2asPi2fm5KaY5R+9q8S3a0zNnvgb4+S0g/tTfL+vaEtUNsu+WWW06pH/J2P/DAAyf8 Wlh77fncxtrU9plnk33kifZFbV3vueeek6Vrt0LXH9oCAIAJ2MnAbAxak1Wpl0y5eONocO4fu3n5 MWr96c2w75hgb2j+WW19NtfaRtj52Lr2U5TSjTyi1J9Qmm+pvM8GH0hIPe2rZoeskQQpd9111+u2 Xck+P44PMEr9efrOTc3mqI5QmrMQBULr7i1bJmOW/tNktIZj9DsSe+sTAcZCrvFvfOMbp6Iy2Cm6 /tAWAABMwN4GZhIA9yWr+i6lBs6acNQCZVtHEykN9vv680G8DdJt8G7baZ+tY9Taav8Wqa8Jjc5H 2rc8m873JZT60/qlZFDw66H212wY+uxA+xw/6VP+5krba6Kp42tfvn+1UxIr7Tvqz9ojWLujc9O3 dsomzwSs2VDbW1LW+gw/f47H6nck9tYnAoyFXMulewrsFF1/aAsAACZgbwMzCXr7klUJqu0/PJBg v5bY+fqCjKNt+vqLEjV/LBrD9lMbo6+tHlOkviQRtkwTnCixkNfSXy1J6etP6pSS1VJ5nw3+dYsd pXXx45fslfZ2f5X6U6SfvvPaZ7MlmnOfnS021PaW77/1k9Wx+h2JvfWJAGMgbzBdf/3170RlsHN0 /aEtAACYgL0NzCTQ70tWLZIQJZOKX70UpM9auSXqLwrM/bFojNK4fowhbbVM2kfoJ3wyhv+aaSlZ bekvWgNLVN5ng3/dYkdpHtH5iPaRjqH1ausiSP3auWmx2RLNuc/OPhtsu2j/6rGSTUrtHG/S70js rU8E2ATxOWmLVu+RsHN0/aEtAACYgL0NzErBu3D//fe/psc1UJbAWm7GtRtxrU+l1l8UxPtjkQ0+ oSiN0dLWImW1BEuQsYYkq3391RKZUnmfDf51ix2lefjxpS9d61q92rpoee3ctNhsiebcZ2efDfK6 73qwX3v2ZUrpHG7a70jsrU8EAHB0/aEtANiEKBiIjnmiIKGVTdrCJWNvAzMJwqPEUoJifV6hD9T7 9njpGpPj8ry8vv5artso6bD91sboa6vHFBnbfy3UMyRZbekvWoO+8qHJaosdpXn48fW1HV+IzkNp XYS+c9NisyWac5+dfTbY36VMxtDX8tW/1mf4+bKx+h2JvfWJnmitW4957DmNymts0nYsJth3l4Sl zmspzGDvd/2hLYDdYtMLXgLksR5arwGHMOSGou9sr3NhbNIWLil7G5jJdRIlq3Jz0IBefrd1ZJ/3 7XGp4/vV5+X19Rddo/6Y/jMa2076Tct18J+H5R/4lMboa+vXwrfXY9JG7ZHy1mRV6Ouvz09F5X02 2Netzw4szaM0vqyhHtNPAe1XVkv9KS3nps9mix2v9ZmAm+6t1mf4+TWUMcbodyT20idGMYg/T/sa W5TmvQT6zh2sR3Q9DWUOez/R9Ye2AHYL3VT+XetWxGGM+dD6dR2QBA3rXhibtIVLxt4FZhrspu4P go8IH7zr8ej5gBHqDxS9Dmv9yTPQbJm00evYHov6sc9q67O51tbOweLno+tjj4vv08RGqCVmpf68 bd5/RevRYoNtZ/tsmZf1aaXzIdhxfVmpP0/LuSnZ7CnNuWansO7ean2GX3SOx+h3RPbOJwqyX1pi EN1XQ8/BJvHBJm3HYt15w37Sej31MYO93/WHtgB2B7nR/tqv/dr53/u933t73U0lAUgtuBvKuo7V fx1rCJu0hUvGXgZmAAAF9tIntsYg+xpbkKzCEMaK6Wew97v+0BbA7iDvfMg7+n3OzL6jbd8tt8eF L3zhC+/pu8j6Sa2+m243v2xi286OG9lSss++Uz/kAfB9bWEn2MvADACgwKJ8ov3UuhRP+BhE67XG EZcitrA2+zLbt8yl9VFHQ2Mqi66zfNNBbYu+FSFrrs9r1nUWovnYNdBzZc+nfquitBb6LSIZR+2X On3zqtnpqZ2HUj+t6yD4b44MXUMta90Tm6xl1IcwZH6CPe99ez/qY939X6DrD20B7Aaygb/yla+c tV+RshtT0QtMNoxuet2A0QPc7YWhfdg6OpZeKLZ/ee0dkN28kVOyfapdfWPU2mr/MHsWFZgBAGzI 4nxiXzwRxSClmGEOsYWUa4Cuc7P1r7766rN2HrbvEn02RUmdom1lDSS5ENtsnPfYY4+9Kr9L+ZVX Xnle/vbbrndtPlLm4yqxRfqQ30ttn3jiiVfUJhlTv5Jq5+XPnbYv2anjK6Wxn3zyyZejfn7jN37j /G//9m+/X+q/tAdl3/bZVlvD1j2xyVrafqLrSajNT+vYPqO939fHuvu/Qtcf2gLYDfxGkI0WORb/ XxylXW0D6oVSurn4PqXM9hc5Vn8sssv2Uxujr60eg9mzuMAMAGADFucT++KJ6LXQEkdEx/riA18+ JLaQcgngbZyhAbuM720RWj5Zqtmk5b5fS7TGvo3vU+sMnc9tt932ptjZ11Ze+4RKbLCvo/4jOz0t Y5f6Ka1DtL5S138TcYw19HuiZT59a2nxZS3zkzp9e7+lj765DqTrD20B7Aayee2m8Jtbj/Vd+H5j t9xcFLFBxrRjRBvWH4vsKtnqxxjSFmbN4gIzAIANWJxPnDpZ3WZsIb9L/Qj9VEz7tMeG0BpTWXSN 7Xj6yZgei9a4dT7aTvq8/vrr3xnStnbeo3mVYk1Ly9ilfkrr4L82rcelT7VvkzX0xyxjrKXFl7XM T37v2/sta9Q314F0/aEtgPmjF3k6dZ3NbTd0aYNZ/MZuubnohpQNKmV9jtUf820Ef7GUxmhpCzvB 4gKzKdFryl6nc0BvXsIU12Tkb7bNlGNG/q6VS7E2sBGL84lTJ6st8cG6sYX87u2M0DnLGL6/EkNj KssmyWrffNSfq11qQ0tbmVPtvEfziuz0tIxd6qe0DjpHWzfaW1HbPluE2p4YYy0tvqxlftKmb++3 rJGwzv4v0PWHtgDmj2ys6F0L2dAtTk6O33HHHQfPv4s2fe3CsBtYy/rG9Meije8vjNIYfW31GMye xQVmUyJ7vu8GNzXWJr3mR3h3tUrJx20L9T/CtsfUAHYd3zalnTAai/SJfYF2FIO0xBHRMd33to4c GyO2kLH8VyUtkiDefffdJ/V1q2+q2SSv+/qJklVva2mNa/MRtO8vfvGL79lnd7a07Tvv0bwiOz0t Y5f6Ka2D2GFtFaLzMnQNW/ZEy3z61tLiy1rm17L3+/pYd/9X6PpDWwDzRjaA/367LfMbSja5/3T1 5ptvPh1dgPYB7npM+0zb5CBoksfk2P6krr2gow3qj+m7frad2CFjSN/yB+ylMfra1i54mBWLDMym Qq4l3f9zwd9Ql0rk47aF+Dbr64YwpZ0wCov0ibV4QvZ1FIO0xBHRsW3HFj7e0ToyvrS/4oorzmvf muj1XX/SvmSTvO67jnUc28auuby2a2zb1uajr6NERuhrK+W1BCuaV8lOT9/YpX5Kx6U/O8foDYBa 25ItrXti07W02DIb09fm17r3+/pYZ/9X6PpDWwDzRTdUOmWdxEwvfCkT7EbWTabYzWPb6XF7TPq5 5ZZbTukmtjYI/iHqtkz683bpGL4f+U92OqfaGFG5bavzgtmzyMBsn/E31KUSBVnbwr5zHZXXmNJO GIVF+sRaPOHLSzGDv+eX6kl/244tfDxlg3VJDryddo7RtVyzKYqpbFtBk4JrrrnmXbvOUfwXjV+a jyL9S9+RDyq1tcflnqCJjyC2PfDAAyf8ueuz09Mytu2nr39ro2DXuq9tyZbanvC0zCdaS5+w+utJ j9fmJ7Ts/VofQ+baSNcf2gIAgAlYZGC2bfRdbsXeDOSmJjevTZ4DJ9g+bZn0F/13Px80Ci3PbNYg S8pLN1jB2u5vntqu1kawAVjLuLU1aRmztsaldVRscCIBg++rNo4lsrM2r4jaWLrf7OMV/Lm250uD ITkX2m+UCGy6h/36Dp3zJQSfuHDkmtQ/wRoL9WfWxwEsgK4/tAUAABNAYDYQDfY12NbAvvRsOU0K pZ4GMhrYaFmpTy1rfW6aTQBrx9Su1ufH2dfanyYqNgmxCYidu7zWemKHzrc2bm1N5HWUBEqd2hq3 rmNkh03MauPYfgRvZ9+8PKWx7H4T7PmQ5POqq646J2PY82/XXRJw6deez02eB1lb36FzvsTgExfO TTfddNq+OTMGej3o9QGwELr+0BYAAEwAgdlAJPmw/4hBgnmbyPjX2kaCdXtMkzcJ4Gt9RklZ6RNB m5jUjvlE0icPttzbJojtdo7exshmQfq1n+INGdeuibyOxuxb45Z19OMKduy+cfSYEtlZm5elZSy/ hj4xFOy6RvvB2xjZ1GeL70PQ9R0y5xmAT1wo0bUxFiSrsFC6/tAWAABMAIHZBkiikMz82NchbWKg 9TSoj/DBTdSnHovqWzZJVkvlYntfYuETFWnjv1qqx2UOWq82rh7Ten5NojF1jTy6Zi3rGM3XHmsZ xxIlcUo0L0vLWH7NWpNVa6u2KfUpjLW+fXOeAfhEGIReP+n0HOx969MAdpyuP7QFAAATQGC2Bhpw S0Iggb0NvEuBfpSEWWp9CppkSJ1SoL+tZDVKPC2lxNEnaL5ebVwtL61JNGbfGgt96xitvfStx1rH UaJkte9cKy1j+TXbZrLaMu/S+rbOeQbgEwEAVnT9oS0AAJgAArOB2MRFXvvAOwr0JWHxXy211PqU RKL1uWlRYiq0JIWl8tJ4clz/SYmvo6+9HX6etXH71jkas7bGreso46at97FE29rSN47Hj9M3L0vL WP5crpOs+nF8n1EdT219h8x5BuATdxh/vcFu4M+bfwMtgnM9CV1/aAsAACaAwGwgEmj7v7v0gbgP 9KN6WldutLU+5abd+ty0WrKqNukNPi3vxU++akmjtvefrtrnREdBg7SRMfRYlCTVxq2tibwujVla 49Z11CDJ9iN9yFzUnto4+lrxdvbNy9M3lvxuz5Xab22xdXTetk8Zw/bh+1TWXV+pM2TOlxh84o6i bzQJdv/vA3K93Xjjjaf9NbsrWD+pPkzOYylZ3edzPTFdf2gLAAAmgMBsIPZGKtjn8cl/YNXjUTAu QbqWC3ojrvUpz/hreW6a78MmBzZBlSTEPmPR2iSJoyQW+tomLN52tcH2bY8Lti9f1jeu/U/FQutz D2tr3Pr8Ob+WQ57zaPH9yHi1c237t5TG8mvW99xEqaP/RXjs50HW1nedOV9C8Ik7TPQm1j4g89b/ qh6V7xrRm5uefT3XE9P1h7YAAGACCMwA9oiWIHDPwSfuMPuawMibSPZNp12HZHU2dP2hLQAAmAAC M4A9gmS1F3ziDlNKYPy3PPz+t18rlW96lB4PZusJdpxSH/rNAhlT7Yi+VWBtjL7VYMttez83/6cV tmydea9jvzBkLH/erJ8qjdlyru06tp5j+Bhdf2gLAAAmgMAMYI8gWe0Fn7jDRAmMJC/2U0dNWjSp k2Ts6quvPmvLo08pNWnTvu2nmaU+7J8zyJ8TyHWn16BNpKQvvSa13Npgx/LtH3zwwRN+jsIY89Y5 99m/yVhaV/DJam3M6FyX1lHOQ8s5hg5df2gLAAAmgMAMYE+wgaeggSR8DHziDuMTmNqnb/pJXVQn +tRN6vn/mq3JU60PTZrs9Wbry+9yXWoSJmgCp+X+P3FLeS1ZjOzRekPn3WL/pmP58r4xS69L6/i1 r33t7dr4UKTrD20BAMAEEJgBAByCT9xhfAIjyUr0lVWbDMpr+UROXgv6yVwNrW8TxlIfmnjZY/rG kRxTWyK03I4T4ZPVMefdYv+mY5WS1dKYURsdL0LaDD3HcEDXH9oCAIAJIDADADgEn7jDlBIYfV2q J2iCJPVLyaEmPNLOfrKq5VEfLcle7SuppWTQEiWrY827xf5Nx/J1+8aM2vSto9A3V+jQ9Ye2AABg AgjMAAAOwSfuMD6B0df+K++S2GiyIknQ3XfffVLLoiTLt5HXNlmt9RElXlKuX+21v2u5pWSPHL/j jjtel999sqptxph3i/2bjuVf941Z6qO0jq1zhQ5df2gLAAAmgMAMAOAQfOIOEyUh9tNQee0TIUlk rrjiivOa5Gi5T2QkIbSfcEq/Nhkr9aG/20RX2trk0vYlrwUZT22Qcv/p6s0333xa69tkVZ53rG3G mHer/ZuM5c+bb6+va3/DKpTWUWiZK3To+kNbAAAwAQRmAACH4BN3FEmI5GuiaZkO/i7RJiKSrOhx XybtJMErtbX1bJ3rrrvujPyUJPKee+45WepDE6NrrrnmXUmupCz6uqomfIr9VDEqtzZq4uaPjzHv VvvXHcvaXjtu16N2rqN1bJ0rdOj6Q1sAADABBGYAAIfgE2FU/KeEu8au2w8b0fWHtgAAYAIIzAAA DsEnwqiQrMIO0/WHtgAAYAIIzAAADsEnwqiQrMIO0/WHtgAAYAIIzAAADsEnwmj4v630/zF37uy6 /bAxXX9oCwAAJoDADADgEHwiAMCKrj+0BQAAE0BgBgBwCD4RAGBF1x+mA79IvP/cc8+dyJUAALaF /Nv584kXswuanZJt+EQAmAp8IgDAitgfpgP3Jc4kJ8SzfwBgq+Rg573Eo9kFzU7JNnwiAEwCPhEA YEXRH6aCr6eDb6WfZ7QyAMA2SH7m1NGjR+W/+30vu6DZCZ8IAFOBTwQAWFH0h6ngN9PBXybOJU5K ZQCALSDvmJ1LPueVxO9kFzQ74RMBYCLwiQAAK+r+MB2Ud81Opp9S6TXTEABgDA6+2pH8yxtHjx69 I7ue2QqfCABbBp8IALCizR+mSj9JHDii9PNtnBEAjIA4oFMJCXDeSD9/cfz48V/JbmfWSrbiEwFg bPCJAAArhvnDVPjJVOlbCflPTG8n5CG88u+DAQDW4YOEvFP2TuKV9Pv3diUoE+ETAWBk8IkAACvW 94fPP//856RB4tFElAUDALQijzz4k2PHjl2XXczOCZ8IACOCTwQAWLHz/hAhhBBCCCGEEEIIIYQQ QgghhOagf/bP/n9xzXlsGNy4DQAAAABJRU5ErkJggk== ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image003.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAfcAAAEyCAYAAADnUJkgAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAFxEAABcRAcom8z8AADRDSURBVHhe7Z1blBz1nd/nKS95yluecvoxLzkn Jzl5yEtmzuYlJyebbC67yTrZldZ47bXXXoN3fcEYz6yxd2FtbMAYzHUEGGRuYkHGFhehkYQECF1A MoPuA7qNJKQRuhskzT/1+3f9av5dXd1dVV3dXf+qz/ecz5HUXVXdM5rpT/3+1zHNnj17/j7AAAAA gL/s3bt3OlS7lXviQQAAAOAXodqX5E4IIYQQP4PcCSGEkIoFuRNCCCEVC3InhBBCKhbkTgghhFQs yJ0QQgipWJA7IYQQUrEgd0IIIaRiQe6EEEJIxYLcCSGEkIoFuRNCCCEVC3InhBBCKhbkTgghhFQs yJ0QQgipWJA7IYQQUrEgd0IIIaRiQe6EEEJIxYLcCSGEkIoFuRNCCCEVC3InhBBCKhbkTgghhFQs yJ0QQgipWJA7IYQQUrEgd0IIIaRiQe6ElDmX5yyLZ2aWODbdwrWDU8nMLk8meE5y78yRnjyz9UQi M3vOWN47eiHi5LlPIgghow1yJ2TQceWsQnZlu33CcnVTI+LK2rGBIa8lueX5g+Yz9+0aOH/1xB7L LS8cbLtpcG8QuDEgpLggd0JyxhV2S6XsiDpJrqNm2HLPi9wM6A2BezPATQAhvYPcCUmKVttupV1y aafFF7mnwW0R4AaAkKUgd1LbtFXdFZF3L6ok9zSI/BE/qVuQO6l8Iok7Ak+SXl2om9y7oeJX2V89 c9T+SYjvQe6kGnGa0ZF4d5B7K7PzF+z349Tt/9mc+M6/tiw8eJ258Nq9lk8Pvo30iXdB7sS/hCJH 4vlA7kts2LNgvxcLD34uEns3VPqXtj2P8Empg9xJuYPICwe5N3l26wn7fTj77M2JIk+LW+UjfFKW IHdSniDyoYDcd5mfrzti+9n7FXsnqPDJqIPcycji9pEj8uFRd7nLIDoRu4g3ScyDQPrzqe7JMIPc ydCCzMtBneWuYv/k4NstA+hGgVb3MmCPkKKD3MnAEsmcJvZSUWe5l0XsSajsqexJEUHupLAgcz9I K/cfv/ShPa5Tzly8Yn751vHEc8uIiP3qwtFSij0JGQ+A7EneIHfSV3QAHDL3hyyV+5899J45vPA7 e/zu+Yv2sW8+vc/sP3HJPib5xRvzbeeVDRG7xBexJ0GfPckS5E6yRUa0U517TRa5/+kDv41ErnIX RPpnL1+xj4s4/3zFbMt5ZSJpkRrfoQmf9ApyJz1DdV4tipa7+7gc//bcWfu45NT5T81XHt/dds7V a4vmR2s+ME9tOW4+uXJtYDcIVRR7HPnaRPQMzCNukDtJDEKvLv3K3W2Wd+Wtx+pjm/d/bI9x5f/t Z/dbmYvcH9l0zHzpsfftOYOQ+4aMq89VBRE98+sJcidREHo9yCv3ePYFj9+yeukaeqyI+6ENRyO5 u+JWuUtmdi9E5xZNUavP+Q7N9/UNcq95EHr9KKJZXqp3bWJ/9/D5tnM27j0TSTxJ7tos755XFLr6 3IXX7kkUXl05x+j7WgW51zAIvd7klXu80tbK3BW1yltuBLpV7oOS+yhWn/MR+uirH+RekyB0UIqQ u/u4itodMCfT44Yt968+sdu+VlkXqSkrVPPVDHKveK4dnELo0EIWubvz3LX5XZvdNSpvtz9dFrdR +XeSe9Hz4xF7f+ioe0RfjSD3CoYqHbqRVu5pV6hTcbvVvNwI3DdzpEXkbmWvKUrwInYJYi8GHYhH /A1yr1Co0iENWSp3H0Dsg4Nq3t8gd89DlQ5ZqZLc67BITVlgEJ5fQe6ehiod8lIVuavY67ZIzaih mvcjyN2zIHXolyrIfUNNV58rG0i+vEHuHmTx8hxN71AYvsud1efKx8JD1yH5kgW5lzjSn47QoWh8 ljurz5UbkTyj7MsR5F7CIHUYJL7K3V19jgF05Ub75cnogtxLFNknHanDoPFR7qw+5ydIfnRB7iUI g+RgmPQr9795cq95YcfJaH65uxCNrlzXaXlZWaHu8OnL0cI3aZHXurpwFLF7CpIffpD7CEPzO4yC fuT+TDiYTVane/W90+amQNbx53Tp2U+vLkZ7vQuygt2e4xczrymvNxGI3X+Q/PCC3EcQpA6jJK/c dSMYWVo2Xnnr0rNaseuxblUv8s+6h3vZxX76p39ofjf7mln89LJ9n+baVfPJgbfMmYc+Zy68crf5 +BdfTTwvCTler3N14Yg59cP/lHhcnAvr7jcnf/AfEp/Ly4W1gYCDr+XSlqcLv7Yg/5+fHtxqv1Yy mCD3IUantCV94AIMizxy13XmRbZJTeqd5K4yz9McX/bV5yIZiwTfWBlJUIR/5cR++3hauX/8+A32 a/30g+1WrItXPrE3CEnHush5ciNQpIDl9fUGJen5Ijm36mam0A0oyH1IoV8dykJWubsbwkhzvOa3 Ry+0bRqTVLm7zfFyk6A7x+kuc0mUffU5lbHk/G9ub3v+5Pf+vbl27mRqudtKOUgWUZ++54/tzUXR ch8F0lSP5IsNch9wkDqUjaxyj+/B7srereQ79blrc7zuCrd7/qLdMU6S1Ey/IVx9rqyL1Jyc/Hfm 08O77HvsJla3WV7OkeZ7zdWP56Nmd/dGQSLVu17j7Kqppab64Bytpt3HNZe3PdfzPHvTcaH5/dWW BW2BkK/lzPQXWq7rXrPb11AU9McXF+Q+oCweW4HUoZRklbs2ybsD5PQxd1S8SF9Hy586/6l9XG4M tELXc0TuesMQb+bX1efKvEiNVswSV8Sd0JsBleHlnWvazk2q3PUxEawV6+71trlehdqp2u91XvT+ A7mf+9Wt5qNb/2Pz/YXXkef1BkDlnuZrKAoG3RUT5D6AyIdn0ocqQBnIK3dX5PFqPn6OILJ//9iF 6IZAK/tOctfV52SRmqQP/bLgVtpZ5G5l+vz3IzEmiVwfiypsp99ej9FugCS5pznPvTlxK3PFre7j cu/2NRQNS9r2F+ReYGiCBx/IKndtTpfo6HeVc3y6m4vI3B0t361y19XnfFikJqvcFRHk5R2/isTa Te6ugONR4SbJPc15buWeNCYgSe7Rc12+hkFBFZ8vyL2AyCh4pA6+kFXuglbdKmP9d6epbSLy+IC5 Tn3uvq0+58ovrdxUqHIzkKZy7yXgpHPksTTn5ZV7r69hkFDFZw9y7zNU6+AbeeQuiJCl2pZIc/ya XacSjxOJH/zoUmJFrxW7ROUvYvdt9TkVqyRptLxw9qlvWfG5spRjMzXLB4lXz0qS3NOcl0fuab6G YUAVnz7IPWeo1sFX8sp9EIjYJT6JXdDmaZtAkudfvit6The2kbnv9t8q0yBynO27DtJN7vKYCtSV 8Nlnbor+7p6z8OB10ev1Os+Ve9KNiSvyT/Ztaj0nSKevYVjIzwpVfO8g9xyhWgefKYvcfRW7i0jz ynzr5+XVk3MtC8BEg9GCiCyjaWqhXONT4VSYLTcQQWSkultpu9d1JdvtPFfcGlfwrsQ10gzf62vQ 84cJVXz3IPeMQergO2WQe9kXqQE/oIrvHOSeMsxbh6owarlvCBepQexQFFTx7UHuKUIzPFSJUcpd xV7W1efAX2SderIU5N4jSB2qxqjk7sPqc+A3TJlbCnLvELZlhaoyCrm7q8/5PIAO/ODythfsz3id g9wTQjM8VJlhy92n1eegOtS9Hx65x4LUoeoMU+66+pxvi9RANahzMz1yd4LYoQ4MU+5VmMsOflNX wSP3MIgd6sKw5I7YeyMry13c8LC5cmJ/x9XedL91iSxII9u0xo9xV8tzF7pRZHGaK8f3DX01ubIg P4N1E3zt5c4yslA3hiF3xN4bWT7WFU6S3HUpWVkFzl0lzl0VTpeh1WVh3b3bBXveh+8kSr9OyM/i pwe32u9VHVJruSN2qCODljurz2Wj0yYs0VKxTjWuS9WqwCPhh8e4NwN6HZF/p01k6khdBF9buS8u MNUN6skg5b6BRWoy00nu0ZrzjtzdTV/ksU5yV5nXvTm+E3WYKldLubOULNSZQckdseejk9xbdmIL K/H4Y90qd7c5Xm4U9Dzd6a3uVH2qXO3kjtih7gxC7rr6nCxSk/RBCp3pJPdI3EHszmzBc/HKXY7r 1OeuzfHavC/XkN3cJDTTN6my4Gsld5riAYqXu64+xyI1+egkd0EEL3vDa66ePtT80zlWjtHR8rq9 q9wEaIWuzfsid705SHqtulLVJvrayB2xAzQpUu6sPtc/3eQex212T3pesBX/3LZoxLxW9si9M1UU fG3kjtgBmhQld1afK4Y0cnerc5F00jGKyNyVP5V7Oqo2ir4WckfsAEsUJXfmsvePbXbfvd5+H5OE e+rOP7CL3Gg/+6U3VrY8H0dEHh8wR597OuTnuEoL3VRe7ogdoJUi5I7Y+0cr9ni0MtfmdOlnv7Tl aVt1x6/hIhK/cnS2ZQEbRSt2CaPlOyNL1VYllZa7fIglfbgB1Jlrs8vs78fPXzuSKO5eqNhZpAaq SFUEX1m5X5tdnvjBBlB3+pE7q89BHTi36mb7c+5zKil3mcue9KEGAPnlvoFFaqBG+C74SsqdfnaA zuSRu4r9wmv3JH4QAlQRn0fQV07u9LMDdCer3GWRGomsPscAOqgTPve/V0ru1w5OJX6YAcASWeTO IjVQd3xtnq+U3GmOB+hNWrmr2FmkBuqOj83zlZE7zfEA6Ugjd119ToLYoe742DxfCbnTHA+QnjRy R+wArfjWPF8JudMcD5CeXnJH7ADJ+NQ8773caY4HyEY3uavYWaQGoB2fmue9lrts45r04QUAnekk d119jkVqADpzebsf28N6LXeqdoDsJMmd1ecA0uFL9e6t3KnaAfIRl7uKXRapSfowA4BWfKjevZU7 VTtAPly56+pzLFIDkB4fqncv5U7VDpAflfv6oGKXAXSIHSA7Za/evZQ7VTtAflTuElafA8hH2at3 7+S+eHmOee0AfeDKXSKCB4B8lDXeyZ2qHaA/5HdIVnU0wY2ym+PHj5sDBw5AxVlYaA6g7JVz584l nj9o5P3Nzc0lPpeF8+fPh1+JMVeuXCnkmkmUNd7JnaodoDiSRP/uu++aTZs2mcceewwqysqVK82Z M2fs/7dI8Mknn4yeW716tX1u//79LecMg5mZmbb30w8i9KSvsSheeeUVe/0yxiu5M5AOYHDIjbOI fvHMTPgb1xS9sGrVqsQPN/CTxx9/3Jw6dcr+H1+9erXt//fFF180u3fvbnls0MhrSoVdpIjlZ1cy KLkLchNUxngl92uzyxM/lACgeKzoj01HVf38/Dyirwid5L5jxw6zbt266DippDUnTpxo+7ceJ2ze vNnKWXLx4kXz8ssvt13jo48+ipqy5Rh9Lfdcjdty0OnaceTrOnToUHTc3r177d/jck97vTToDUTZ 4pXcaZIHGA1yY+0231+4cAHRe0yS3KU5/tKlSy1yd49TmWtTtyt3FZwIWc45cuRIy02DnqOPdbtG XMS9rq2473Xr1q3269F/u9dMe720lLVp3hu5yyj5pA8dABgu9NP7jytCN4uLi5nlLv33ly9fbjlX BSqSTTonrdzTXFvRZn1X1PFrZrleFsoYb+R+bX5F4gcNAIwO7aePi17IWwnB4HGlrTLMW7mrVJOi Tet55Z7m2oo2/3eTe5brZUFfp0zxR+5MgQMoPVE/fRj66ctJktzl8Xifexa5x6t+l37l3u3aSha5 p7leFsrYNO+N3OlvB/ALET399OWkk9yT6CVmbeqWdKp+88o9zbWVNHLPcr2slC1eyJ0pcAB+Qz99 uRDJ6Tx3kWG3KtYVsStHV8J6jFsRy/+t/r2T3N1ruCKW0es6Fa/XtRX3hkXE7X6NEpV52utlRVqp yhQv5E5/O0B1oJ9+tKhE4+lUyeqiNhIRmIwu1+ggNBGru1qbO83NnQonOXq0dclW9xoqZ1f63a4d J/5eZ2dn7Z9r166NjslyvSzI969M8UPuBycTPyQAwH9sP72zcA799OAjnW6aRhU/5M7iNQC1gH56 8BXkniOMlAeoH/TTg0+UbcQ8cgeA0kM/PZQd5J4jTIMDAEVFTz89lI0yxQu5J/2CAwAI9NNDWShT Si931pQHgLTQTw+jRG4syxLkDgCVhH56GDbIPUOQOwD0C/30fqCrx0nchWx8oUwpvdwlSb+sAAB5 saI/Nk0/fQlJWprWF8oU5A4AtSbeT6+il/XNkz7AYbDI917im9zlxrBM8ULuw5gKt3h8ZfhqCVm8 YhYvvm+uDmC+/bW5W8yV9f8s8Tkf8P39A7h0GpBHVd8Z2SbW3SM9LmX3edmsRTeEUWSt90OHDtnn ZZ33vXv32r/H15fXYyRyXNn+P5B7jgxrEZurO/8guJO42HzNYw81H3vrX5nFs2/Zx0TyV9/9/bbz 8iKvt3jpoLdy9P39A3SDfvre6P7ouvmLzEqQjVtUylqF66Y08X+7m8XINWTjl/jmMXqMCl2b7d3t YssAi9jkyLDWlr+65d+0yd0+LtIP4z7eD/pavsrR9/cPkBX66dtRuYt4490Yuj2su7WqHq97rsf/ LcfoDUBc7nKdN998s7R98sg9R4a1K1wque/7Wss512Y/G51jLh9qabq/duCmpeeCqAhbzgkTvd66 f2IWTz4XPhokuOaVTf/CPue+j8UzG9v+bc+f+afGfHoyfLDZ0qDvIxJx2tc4+6ZZnH+0+Q/52sJW i27vv9v3A6Aq0E+/hLt9qmznqsJVcSfJXR/T7WC7yV1fRyQvryXnJz0/ajZv3mzfV1mC3B2S5B41 yweivHb4rpbj5X1Fx4owP1od/OOyFaVeS28Grr73J2bxwq6oytVzWypfuYa8VihbHQcQiVufdx5r OyYg+jrkPe/5irmy8Z/b8+xrhX/v+BrONfVrSTom6f13+37oeQBVg376peZ4iTafFyl3PU+a4sta ubOfe45cW1iX+EtVNK7c3bQIWNEK2emHj+QWCD26VofqtavcRcq7v7AkVT0mq9yDRC0CSq/XCI6J XzOV3Ht8P/Q8gCqTtHBOXfrppbJW8Ur/eZpm+TRy1+tI5LpllXuZFrCReCH3YS1kE5eiykkSl2Sn GwGJHhs1aQdZPL2m5QYhUe6KCFjODa+fW+6OaNvo9BrBc3nknub7AVA3on76MFXrpxdZnz17NuqO EFm7MldRpxlQJ4+JyLUFQCKP6Q2BREbexwfcyXXKQNnihdwlwxhU11bxOjKNizKVQAOazfG/bV4j bAqXxzvJXa8rIo2kWrDcu75G8Hxfcu/x/QCoKyL6qvXTi3hlaptOdxOxy9/dY3pNhZMR8ip0aeWY nZ21f65du9Y+794ASJ++9G3ra+ko/VFTtv52iT9yD2SS9AtTJJGg5PXCatN9rKX/2Bm41rMyFSmH gtQm6kS5u9cMjssr3q6iLeg12t5/lu8HQM2hn75alK2/XeKP3IfQ725HisfkHj0exgouJkFXolKp y99FsO7CN/YaznGuHK9uG7eD9VpuLvbfuFSldxKvI1T3GFfu8f7uzK/h/ts5Jun9d/t+yN8BoJ06 99NXBfn/Klu8kbsk6RejKCIxuXEq9ZbnVV7ab62RwXMqtUCiIrxoOpyINpBp9JpuE7tK033s9Jql aWWOpO3o/bCZf3FhbXNEehh7jCN8TYvge7yGeyMjWTz16/BvzUTX6vT+O3w/ACAdVe+nryJlG0wn 8Uruw1rMBgCgDFSxn75qyE1XGeOX3Ic0JQ4AoGzQT19OytgkL/FK7uztDgBAP32Z0Cb5skneC7lf ml8X/o2meQAAl6QNbuinHw46BU5vrMoUL+R+5cKcOf1ucJcahKZ5AIDO0E8/PLRqv/7666nc8+bI KxPh34ydepX0Qw0AAEuMqp/eXbhG1prfsmVL2zG64Yy7op2LLJDjbh9bNuRmSfOZz3wGuefN3KrG UvU+P534gwwAAMkMq5/eXV/eXV3OXU1Om7B1OVl3bXlBzjt58mSi9MuCyvyll14yv/d7v2f/XqZ4 I/fjm5e3VO9Xgh/UpB9gAADozqD66ZM2i4lvDqPC12PcmwG9jrwPXX++jMjXoU3yUrULZYtXct/3 2Fjlqverb/xLc+2DW+1MAPt1uQvOpDgmWjTGWRXOxa6U52w1CwAQp6h+ehW5K3fd+EUf6yR3lXnZ m+MFrdrfeecdW7Xfdttt9t9lijdyP/3upJV7lap3XcLVfHLMXDtybyDif5vpGH0uWkY2vne6rBj3 8SZWiQOA1PTTT+/u4KaVePyxbpW72xwvNwp6nmwYE3+tUeIOpEPufUamw4nchVMVqN6j9dpjW8Gm PkaXfw0rdj3WrepF/mziAgB5SRJ9t356FbfkxIkTtvqOV+5ynJwvife5y+O69as078s1dLpZWZrp dSCgVu2C9LuXLV7KvaV6T/iBLDu6fru7EUvmYzrJ3dnNjuZ4ACiKtP30IvhDhw6FRxhz7tw5+6e7 /7oco5KU0fQifbkJ0Apdm/dF7npzUIb926Wbwu1rV7nrzUqZ4o3cZa67yl04t7+5sYJ31buz4Yo0 tWtkE5hIxFmOSarc5bmwOd7eJIS7wNkWAPe9AADkxIpeNrjp0U+fNGAujsheRK43CSrLssldxa4j 5JWyTYOTeCN3iSt3X+e9u9ux2r5wR+Rapac5Rq7Vqc89ao4Pd4iTrVvt7m9yLM30AFAwSc33O3fu NAsLC/bvIukkWSoic1f+Zazc3ercrdqRewGRue4q970B85uW28d9WrUu2lLVGfwWPRbKPM0x9noi fR0tH26vapvjwwpdzxG56w1Dt64AAIB+uTb7p2bx49flk8d+/ki69dOLyOMD5srY5x4fROdSxngl d50Op3LfE3DxePMOz5fm+SRJxyv1NMe414wQ2Z9ZH90QaGWP3AFgGESfOZf22dk914LPqnhF7/bT i8RPnz6dKH2t2CWjHi0fn/rmUsY57hLv5X4wqOY1XmwqEzaV2/cbjmyPxK2Veppj3GuG2OZ4Z7Q8 lTsAlIm0/fRlIr7MbFzuZZwGJ/FK7jrX3ZW7cNizue9Ld7dN0eq/3f7wNMe4iMjbBszR5w4AJUWK sXhVL6Lv1Hw/KrQ5XiQeFztyLyjudDhX7sJHnu0aZ2Urlbhk8Yq5dviuXMdYAokvntuaWNFHFb9c gtHyAFBCss6nHxZuc3xS1S6UcY67xFu5Jwn+0/PNHwypcpN+gAAAoNwMa4ObXsjraTqJXXCPK1O8 knt8rntc7m7zPNvCAgD4T9RPH2YY/fTuYjVJo+NdtLovW7ySu6Sb3IVjHk6PAwCA3ojok/rpN23a VFhVL9fp1c/ugtwLSnyue1zuQjQ9DsEDAFSSQfXTq9hXrFiRKPM4ZY13ck+aDpdE1P+O4AEAKk1R /fQq9m4D6FzKOsddUlm5y/z3SPAV2fsdAAC6022Dm2799Nq8Ln+mEbtQ1mlwEu/k3mmuexIywA7B AwDUlzT99LpDnSSt2AXkXmC6zXVPAsEDAIDQqZ9ek0XsQlnnuEu8lruQJPQ4h5wpcggeAACk+X7R kXyvKW9JSAtAWeOd3HvNdU9id8Chlx3Bs8gNAECt0SW9NVmrdgG5F5yschd2P7o0B17ixSYzAABQ ONKCq9mzc51tmk+Sdy/cJv2yxUu5p5nrHkfk3iZ4KngAgFoh06M1P7pxwmx6dTq33MscL+Wedjqc i8q9TfD0wQMA1AK3j/1bn22Yz/+XwA9B5S4D45Lk3Y0yz3GX1FLu74vgX3cELwvdeLBVLAAA5CNJ 7MLp43O55F7maXASL+WeZa67Epf7+4+MmQ9fWpomJ//xCB4AoFq4o+JPBSJ3xa5yT7vUrAtyH0DO 7V9RiNyFfc8srWQnYaAdAEA16CX2b13XsM/lmQZX5jnuEi/lnmeueye5C7MBZ/YvjZ5koB0AgN9c nV0WiX3Pzpk2sfcr9zJPg5N4Kfdcc917yP29gJM7psJXYKAdAICvuFPdNr+6IlHswoqfLLPHVG2O u8RLuUuyyl3oJff3VoyZYxsZaAcA4CPxVedWPz7VUeyCyj1J3r0o8xx3ibdy72euuxV8TO5W8IHc hQ/WMNAOAMAnpDvVFXs3qSt557iXfRqcxFu59z0drovchT1Pxwba0Q8PAFBKXKl3a4aPI3PcpXk9 SeDdKPtIeYm3ci9qOlwnuf82YFfACacfnioeAKA8XN02nqkZPk7eBWzKPlJe4q3cs279KmSVuxX8 9Jg5snG5+YQqHgCgNORpho+Td4572fvbJd7KXTIsuQvSTL+wz5kux2A7AICRkLcZPo7k1ltvTRR4 N3yI13J3+92TZB6nk9xV8N3kLux8uNlMTxUPADB83LnrEmmGT5J2GvLOcfehv13itdyz9rsXIXfh /aCKPz8/E74LqngAgEESn+KWtNpcVm6/ccJeK+scd2nG9yFeyz1rv3tPuTuC7yb3d4WHgip++9Jg OwlVPABAscT71rMOmutE3gVsyr54jcZruUuyyF1IK3cVvCv3XaHcBZG7MPtUUMUfo4oHACiSuNQ7 LSGbF7lJkCQJvBs+DKaTeC93bZrPNaguJvekpvlechfeeXDMHE+q4pE8AEAm4tPbJP30rXcizwI2 vvS3S7yXuzbND0zuMcHv7CB3YfbJRstgOwmSBwBIx6Ca4JPIM8fdlyZ5ifdyl+SWuyP4IuQu7Hhg zHy4vnVevMRKPuGHGQCg7gy6CT4JmeOeRe4+LDnrphJyl6b5Qck93jS/U+XuCj4md2V+25T55NzS D6z88CJ5AIAmSU3wMoo9ScZFk3UBG5+qdkkl5K5bwCbJPE4nuavgi5T79oBt94+ZY1tb++Plh1l+ qJN+2AEAqo58/sngYzeDbIJPQpJlARtfBtJpKiF3SdrqfSByD+gmd2HXyoY5GpM8I+sBoE4kVerD aIKPk3UBG58G0mkqI3cZWFcKuTuCF7lvD+UubL0vOPeJBMkz6A4AKkxZpK5knePuW9UuqYzcJbIc bZLQ43SVuyP4ouW+LZC7CP7tgN0vTLT0x0uQPABUibJJXcki9xtuuMEe61sqJXep3pNkHiet3FXw SXIX+pG75edj5sjbU+Z3SB4AKkRZpa5I/37aOe6+DaTTVEruksMvjycK3UXlbgUfk3tS07wr924L 2eSR+5aQJMnLLwej6wHAF8oudSXtAjZStfvYJC+pnNzTVO99yT1g5wDk/ta9TbpKnmoeAEqIfD75 IHUl7QI2vlbtksrJXdKrem+RuyP4jnKPCX5nSrlbwbtyD+gld2XHYw0r+niQPACUBd+krqRZwMbX vnZNJeXeq3rPKvdO/e5JcreC7yH3SPBd5P7mPU1U8vTLA0AZkKb3a/PTXkpdEbn3muPua3O8ppJy l8i89ySxC53kroJPLXdX8DnlroLvJHfhDeFnY+bIFvrlAWA0JFXpkmEvPtMvaea4r1mzxh7jcyor d8nBVY3hyd2p3lvkHlCU3JXD3SRPNQ8ABdGtSvdN6kovufs8iM5NpeXeqXm+lHKPCV7FLsTlLmy+ e8zse2W5OfH+dPjVLkVWvkP0AJCXTlW6jDL3Ueguvea4+zyIzk2l5S7p1DzfVe6O4HPJ3RF8fMR8 kXJXtj3SMIfeCqr5s+2/jPJLenV2WeIvMACA0q1KX/GT5d5LXVG5J4nd90F0biovd0lS83xL9d5F 7ir4ouTeMh2uILlvEn7a5MNA8kJSqOYBIE6Vq/Qkus1xr0JzvKYWck9qnu8m96SmeVfug1rIxpV7 m+BTyv31kI13NUV/OaGap38eoN5Ia55031W9Sk9C5rhL03tc7FVpjtfUQu6SePN8VeWughe5K1um Gx1FT/88QD3QCj2pSvd1cFwekhawkX3dq5bayF3iNs+3yN0RfEe5xwSfVu5W8COW+4aA9Xc2eefZ CfPBmx1EH/zy2/55RA/gPbYPvUOTu6QOVXoSMsddZK5ir8ro+HhqJXe3eT6r3Dv2u2eVe0AuuccE n1fuwkzAuoC5N6bMsffaR9tLqOgB/KOX0KW/uY5Cd5G4C9hUUeySWsldcu7AdFe5q+BTy90VfCh3 K/iyyd0RvMjdCv6OJq8FHAxEn1TNS+SDIqrqEz5QAGB0dBrlrhGh337jRK2FrsTnuFdV7JLayV0i gh+13CPBB1JXwWeRe5vg+5S7sPYnTUT0UtF3kj1VPcBoSSN0kTlCb0VuciQyx71qA+jiqaXcJWcd wRcm94BEuQcMXe6O4EXubtN8L7kLr/64ybanJsyBzSmq+uDDJulDCAD6R5vbk0a4S3xeMW6Y6Bz3 Kg6gi6e2cpfMb1reWe6O4Icm95jgRerKqOQuvHJ7k9fvb5j9gegXDs+E38H22A8gqnqAvuglcwlC z458vyRVbo7X1FrukkMvjzcFH5N7UvWeSe6O4OPT4QYid0fwveSugu8qd0fwrziCf1n4UZNdv1lu ZX+pR/M9sgfoThqZS+o6wr0opLuiLqm93D+9MGcOrGpklnthc90HJHe3331Qcn9J+GGTDfc1zL5N geg/7vzBJJF+QvkQoxkf6oz8/HdaSMYNMi8WmQZXl9Re7pKL8+vMfkfwtZW7I/iscl8j/MMSO3+9 3Ox7PYXsw+qe+fVQZZD56KmT2CXIPYwIvqfcY4IvRO6h4EXuVvCO3NsEn1PuKvhhyv03tzX5tXBr 8P4fnzB7A9mf+nCmq/Dlg4+mfPCZSOThaPa0Mkfog6NuYpcgdycf75vuKveO/e495G4FX3G5W8F3 kbvwYsiv/j54zyL7jVNmT8BFqnvwlCwilyDz4VNHsUuQeyy2if7ZRja5O4JXuVvBj0juKviecg8F r3K3gs8gdyv4NHIPBe/KXVn9d01eCNixernZs6G37CUqfCt96b9H+jBg4iLvFRG5uyIcMh8uN17X qK3YJcg9ISL4fYHg88i91KvUFSB3K/gByd3ygzHzfMjrv5gw76+fMofemU4lfAnSh74JfmbkZ8cO /uzRR67Zs2vGvBGK/NuBVEQsX0gQDgyHuotdgtw7REbR731mSfCDkHsk+BHLvaVpPkHuVvAjkPs/ fn+J525psvHRCTM7M2U5+cGMuXgG6UMOQoFrJa4STyPyvSLytdPm0TuXm5s+1zBf/K9jlr8Qfr/J FwKSpAODB7E3g9x7ZG7NeDa5ByTKPaCb3FXweeVuBd9L7o7gRe6J/e6h3K3gC5B7JPiC5L5K+d6Y eVb52+BreWTCvBcI/wOp8lMKX2KlLx/uIv3ggz4SP/L3HpV3XOBZIiJ/8ZdT5o7vTJibP98wf/kH Y+ZL/20JFTtyLweIfSnIPUWOblweCb5Mco8LvlRydwQfl/uLfcg9EnxM7s+EPC1MNZlZMWG2PBf8 362bMnM7ps2FDNLXWPm7Vb97A5AgFBgibvUt/z9hX3hWge/77YzlrdemzeN3Lzd33TxhJgORf+W/ j1m+HAhdELEj9/KC2FuD3FPm5DuT2eXuCD4+Ha6j3GOCF6krmeXuCL7sco8EX6Dcn1Imx8yTIb/8 bvC1PTxh3gyk/9tA+ge3T5sTB2dyiV8iInGrf3sDIMKhBSA74ferpeIOpe1W3lnlLdn/3ozZMjNt Xnpqyjzxs+Xm7skJ870vNsz1/2vMXP8/x8xXA/7qfyyhYs8kd0fsyH24TP9kGWKPBblniAjelXvZ F7IZxPryXeXuCL4IuT8/ILkrK4Wbx8wTIY8L3wm+3gcnzOZnl5uda6fMuwEHtk2b84H8zy/09+ER 3Qgozg2BvSkIWwW8vzHQ966iHoCs41k4OWcFvjUQ+JP3LDe/DPjBlxuWv/6jMfM14Q+b3BAIXbBi R+7es/qJScSeEOSeMQv7plsEX3u5O4LPJXdH8EXI3Qo+p9yt4AO5C78IeeymJo9+u8kjAS8F8n/p gQmz49Upy75A/vNB9d+v/Hul7eYgjkqzE86NRE/i5zqvo0IuSszdcuajOXPw/RnLtvXTlqfvXW6e Crj/lglz61calm/88Zj5xv9p8nXhf4+ZvxECqSP36oLUOwe554gIfs/TjeLkHgpe5N7W796H3N1+ 97jcVfC55O4IfmhydwTfJveAYcpdWXFjk+mQh7/V5KGAF++baPLzCbP+yeVm+ytTZpvw8pTZs3Xa HNs/YzkX3BCcO12fDyiR9VwgamHHxmnLuuemzHP3LzcP/WDCcvsNDctN/2/M8m3l/46ZG4XPjJlv hXwzkLowKLl/GbmXEvrXewe558wn54MPqd+Mp5a7FXweuQeI2JWhyt0RfNYlaMsq9yfzyj0UfFq5 P/TNJg9+Y4kHhK+PmfuVvxkz9wl/3eTnwteC17+lYZ7/2YR5/u4J89oTy83ba6bM279p8v5b023M hhzeN2MO7+3M2eAmoo1T7XwccGjPjPnQYefm6Sabmmx4YSpi9cPLLS+EPPoPE5ZHbpswd329Ye4M mfqzsSbLx8xkyHeXhfzpmLk55Dt/0iST3EOx55G7iB25+wP96+mC3PvM8e2TTbm7gg/lbgVfErmr 4JH76OUeCb6D3IV7hRua3CNc3+RnwlfHzN0hP/2rJncpXxkzd4bcIXx5zPzE4cd/2eR24Utj5kch P1S+OGb+QfiLMXNbyK1faPL3n1/i74Q/HzM/CPn+55a45bom3/tsk78VVOw+yD0UO3IvH5trtGVr v0HuBeSCbDrzVCOb3ANKKXdH8Mh9SHIPBY/c+5e7FTtyryRU69mC3AvMfFDFq+DTyj0SfFq5xwTf Se4q+DLJ3RV8EXJ3Bd+P3F3B11rugdQrK/dQ7EOTe4KcIB8/unEcsecIci84p/dNd5Z7QDe5q+CH KvdQ8EXL3Qq+X7kHDFzuoeCRu79ybxtMh9wrA9Pc8ge5DyCfnJszs79sNOXuCN4HuVvB55S7FXxG uVvBD1ruAch9SHIPxe6d3FXsQg65x1enQ+79wWj4/oPcB5j5bZNdp8MVIfc2weeUe0v1nkHuVvAF y90VvMrdCj6j3F3BFyV3V/DIvV3uKnbkniwt6A3VejFB7gPO+fl15r2VjUS5D2Qhm15ydwQvck/s dw/lbgUfyt0KPpS7FXxWuYeCR+7IvavcQ7H3K3cr9jRyD5vk08r9S67cQ7Ej92Kgb73YIPchRar4 kcjdETxyr67cI8Ej977lrmJH7sNDqnVSbJD7ECN98Xt/NZ4s91DwfcvdEXyS3N2mea/lHgoeuSN3 5O4vLEgzuCD3EWR+66TZtbKRfiEbz+UeCT6N3EPB9yV3R/Dd5B4JfpBydwRfK7mHYi9S7lbsrtwD qRcldxV7m9xDsSP34kHqgw1yH2FE8qnkHiBiV7LI3e13H7rcHcEPWu7PppV7QB65W8FnkXsoeOTe n9yjqj2n3EXsRchdxJ5F7kkygyYMmBtOkPuII031RwPJj0LuKvhC5e4IPvUqdTWWeyR45F683EOx I/dywPS24Qa5lySndk+bdx9vDFTuKvhC5O4Ivu8laJE7cvdQ7ip25N4bqvXhB7mXLFLF95R7TPAD lbsj+IGtLx/KPRI8ckfu/cg9bJIfiNy1akfuqUDqowtyL2Gkqf7I25OR2PPKXQWfWe6O4Icid0fw cbm3rC8fyj0SfAa5u0vQdpV7KPh+5B4JHrnXR+6O2JE7Ui9DkHuJ40pexS4gd+ReNblbsSN370Hq 5Qly9yC/CyR/OJB8J7m/0a/cQ8Ej93a5/8I3uQf4Ive2qj2l3K3YkXupQOrlC3L3KCr5nnPd+5S7 FXwZ5e4IHrnXTO7xqh25lwKkXt4gdw8jkj+0JZB8Xrk7gnfl3lK9I3fknlbuodh9kPsNyL0QWFmu /EHuHkclv/3RRne5O4JPkntiv3tOuVvBh3K3go/J3RX8oORuBT8MuYeCR+7IvS5yZ3MXf4LcK5JD b02abY80JR+fDleazWMGKfeAIuUeCR65V0vuodjTyD3tdq91kDvN7/4FuVcsIvmtgeS7yd3tdy+D 3K3gKyD3aeReSrl/LUHuVuyDknuCHH1EqvRNr04jdU+D3CsaK/kVDSt3t999pHIPBZ9J7gHIHbkP Te6h2Ossd5reqxHkXvFcln75QPRvB6JPkrsKvmxydwXfTe6u4H2XuxV8ReSuYh+k3EXsZZB7VXaE o+m9WkHuNcqHgeS3BJKvu9zb9nRH7qWRu4p9WHIXsddZ7jS9VzfIvYaRan7uzUnz1nTDK7lbwQ9Y 7lbwrtwDkDtyr5rcmcpW/SD3mkck/86z493l7gg+ldwdwXeb647ckbu3cg/F7pPcpUqn6b0+Qe7E Rqv5zQ83mnJ3BD+ohWw6yj0UfKFyDxiU3CPBJ8jdCj6v3EPBI/dyyD3tXu5lkjtCr2+QO2mLSP5g wKDl3rJKXR65h4LvJndX8Mi9GLlbseeVeyD10sldxV6Q3JMkO2wQOkHupGsOvjFp3ntpWbXlHhM8 cq+Y3EOxV13u9KMTN8idpM6BQPTCxgca9ZR7KPi+5B4KHrkXKPdQ7JnlHjbJu3JXsfsidxU6Uifx IHeSKwuH1pkDmwPR398oRu5xweeQ+7PIvdZyt2IvUu6O2MskdxH6np3rEDrpGuRO+o6Ifv+mSbPh vkZ55O4IflByt4JH7gOR+01DlLuKPYvcVezDkjvz0UnWIHdSaC6dnTP7Xp806wPRFyX3lvXlyyz3 AOReQ7k7Yi9K7u4od4RO8gS5k4FFRf/WynEz8/NGoXKPBJ9H7gEq90jwyB25B3SVeyj2QchdZE5z OykyyJ0MLacPrTP7Nk6aN58YN6/d27CCR+7IvR+5t42UD7Bi90DuInOa2smggtzJyCKy3xPI/o3H x82r9zSQO3KvtNxZUIYMM8idlCanP2jKfsfqZebVuxvJcncEj9zLL3cr9jxyD4Tuu9xpaiejDHIn pc2pQPa7N0ya7YHsX/5po2+5p972tYfcXcFnkXsk+CrIPZB62eUuYh+W3G+6rmFW3LHMbF47jcxJ KYLciTe5eGbOyn7bC8vMS3c1Ki33SPA95H43ck+Weyj2Qcn9x98eN79aOWn27ApEfgKRk/IFuROv 89HcOjO7ftKyYcW4+fWdDeSO3AuV+x3fGTeP3bXMvBFU5Yic+BLkTiqZk4H031s3ad5+bpl58Y5G NrmHgkfu9ZP7XTc3Rf6miPwkIif+BrmT2kSEvysQvrD24XGz+seNTHK3gi9S7qHgkXsOuQdSzyv3 W77YMD/97rh54qfLzFuvTZt90rSOyEnFgtxJrXNhYc4c3D5tdq2dNDsDXg2k/4+3N8w//qhRS7lb sRct90DqQ5O7iD2U+z1T42blz5aZLeumLSJwJE7qEuROSJfMB9X+gW3T5t1A/MJLD4ybVT9sIPc+ 5C5iL0ru990ybp68d5l5+elJ8/b6abMQyFsgpO5B7oT0kfkD68y+QP47Xp20/Pq+cfPUbY3i5R4K vi5y/+H1DfPg98fNM/cts2zbMG05MLsOgROSIsidkAHm3MKcvQEQ9m4NBPXypGVrwMwvl5nV945b nvh+w1Jlud/x9YZZceu4WfXgMstrqybN9o3TZm53IOyPAmGHEEL6D3InpIQ5d3rOHN2/zhzdt87s 3jJteXvNpNkSsPbxZeZV5RdLvBLy7F3jlmeEO8fN0w4P3hxUxAEPhNwfcp/wnSYrfzzewosrlll+ Nd1k4+pJy7uvT7cgklbOnJozZwJRK4SQ4Qa5E0IIIRULcieEEEIqFuROCCGEVCzInRBCCKlYkDsh hBBSsSB3QgghpGJB7oQQQkjFgtwJIYSQigW5E0IIIRULcieEEEIqFuROCCGEVCzInRBCCKlYkDsh hBBSsSB3QgghpGJB7oQQQkjFgtwJIYSQigW5E0IIIRULcieEEEIqFuROCCGEVCzInRBCCKlYkDsh hBBSsSB3QgghpGJB7oQQQkjFgtwJIYSQigW5E0IIIRULcieEEEIqFuROCCGEVCwd5Q4AAAB+E6rd yv2N+JMAAADgG3vm/j+9oY1zlzw4jAAAAABJRU5ErkJggk== ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image004.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAnUAAAH4CAMAAAAb7+v9AAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAGzUExURf///+Tk5Hd3dyoqKhISEnh4eO3t7QAAAJqamtra2mJiYh8fH2tra5OTk9XV 1W1tbUJCQnx8fKampvr6+lNTU1lZWampqcjIyC0tLWZmZpaWlj4+PtLS0lxcXHp6es3NzcvLy1VV VYWFhTg4OIqKimhoaFdXVxkZGYGBgUVFRQoKCmlpafX19Ts7O3V1dYmJiW5ubnt7e4+Pj8XFxYaG huDg4CUlJXR0dIiIiJ2dnV5eXjIyMk1NTb+/v0hISMLCwqenp5GRkZSUlK2trY2NjUtLS4KCgnFx cZubm7q6uoODg4uLi5eXl46OjrGxsVFRUX9/fz09Pdzc3Pz8/AgICK6ursnJyWRkZKWlpZmZmdDQ 0JKSkqioqKGhoebm5iYmJg8PD6urq56envDw8DY2NsTExBsbG1JSUn5+fr6+vpiYmGBgYGVlZbOz s+np6bW1ta+vr7y8vLKysnJycqOjo05OTiEhIczMzIeHhwMDA3l5ebi4uJycnLa2tnZ2dhYWFlZW VqKiomxsbJCQkDQ0NEFBQVRUVCsrK2dnZzo6OmNjY0NDQ0ZGRltbW6CgoG9vbwAAAGTd/9UAAACR dFJOU/////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////wAy+WGbAAAACXBIWXMAAA7DAAAOwwHH b6hkAAAXg0lEQVR4Xu2dQXKjMBBFKYqybkAVS5bcgCpOwNY7LgLXH7UE2J7EwYARQnpvxgSIbJPw 87vVFiIBAAAAAAAAAAAAAAAAAAAAAAAAAAAACI5b2md9Om5YbqrTy3uR9YVSdtdbFhtMSMOPGt+K ceWV8bn22ODadMqQ3cdtoTAnttG70xNU96bRuNseG1yau+pz/aVUpd1+4jM9fdZK8/2GcFVSJaLT FnKT0z30Orp1jYm4xgKtBO5lltkYnD4H46HMysE0MGt2Z5LUfdbUsjLvnRvah94s5DXNK02N9LeK PtPPs+87HcXjzc0bzQcwN4cLUplzaZHTnY4htxjPvjnXZlVOtgRd1ZjGkmFZ9Kr5qnUr6KCsET2Y Fb330dA+hCKTxVMjHeRlLbU75qMYG+g3N280H8DcHC5IJudyRJlEvVLaelQ2nmZZpFpDN9VrF5Oz LFuG1G6ZBncdqkcFyI5BWs97Hw3tQ15NL14bGQV1sksaaXmNRzG/uex+HMCjOVwPozpxjVETwlCb rqvZlEU/7tdSkOVkdna3bSCMCihUVbeyMu99NHx52denmj2PBvNRzG8uG48DeDSH62EirDnz0zm8 myg2bT72a6wxigOZr3bLNBifYij1ai9OZXltOG7NizeN/jsKQVYeB2B3z9+ESzH1Jh4nuFTd8NiU xQdeZ3bMdKm0mfc+Gr687OtTzZ5Hg/koXhrgdWEwVk508j6dQ/GTfN6UhSRSg6r+yuukwVh70X1U vRgzMrP3/7zONBoXcyOz59FgPor5zWXjOa+bmsMFGavEldaePYemDyqmYjbHhUZ6GiYLG61OlGGY OqkmmRufL8J47J0bTo/HYm5k9phlJT2F+Sj0Lo1+c9NgPoBHc7gi97RXpSn4j+cwzfo60bIxm2Yx lKqyHwmkU+FOuJdZeZ8b2EitqSs11evGvXPD6fHfa0sjs2GWbZUVj6OY39w2mA7g0RwAAAAAAAAA Lkme5+11Ht7/j2UxqmcjaZnWl/n33f8/dnzlfxyLZhwwtpFi/OAIYAXF86UE60kfRXyAT9mrOrwO 1rNTdURY2AARFtxDhAX34HXgHvI6cA9eB+4hrwP34HXgHvI6cA9eB+4hrwP34HXgHvI6cA9eB+7Z ojqZEGFcJa+DDWxQXfuktAKvg/VsUF1qZpgRw9PgdbCeDaori2yey5y8DjawsTcxyQ7VwQY2qm6c P5XKCWxhg+oq/ZjuR4TXwQY2qO4m9+8YoXICG9gYYSeIsLCBnaojwsIG9qoOr4P14HXgHvI6cA9e B+4hrwP34HXgHvI6cA9eB+4hrwP34HXgHvI6cA9eB+4hrwP34HXgHvI6cA9eB+4hrwP34HXgHvI6 cA9eB+4hrwP34HXgHvI6cA9eB+4hrwP34HXgHvI6cA9eB+4hrwP34HXgHvI6cM8ZXpfX9TCuQpSc kNeVRd413bgBMeLe62rzlAa3ixj3eZ1M4Z4kHWYXMe69rtd21yU5nd+IcZ/XFXlSV7KEaHHvdfcm z1U934kMIsR9Xpfcil7Nt0mBGHHvdUJPXyJq3Od1QorXRc05Xtc14wpEyQl5naZV4wpEyTlelygK JzFzTl7HWJW4OcnrqNdFzTl5XdL14wrEyEled1OMOYmYk/K6hAF2MXOS1yXF1idCAJyU18mwE4iW s7xuoE4cMWfldUlGnThezvK6pKROHC9n5XUMO4mZ07wuz8YViI/T8rqEOnG8nOZ1SUadOFpOy+uo E0fMeV7XUSeOlvPyOsYTx8t5XpeodlyB2Dgvr0squhOxskl1jw9R93gddeJo2aS68qG6HV5HnTha tqiu67TqlGWH193pTsTKFtWVidZL2w76/67P8Bl2EisbVJfeRXWWPXkddeJo2aA6E1nH9T15HXXi aNnUm/iS1+UkdpGyU3V76nX6ZRh2EifbVDezy+uSapdm4bLsVd0u3VAnjpRTvY5p7CJlp+r25XVc nhgpp3oddeJIOTWvo04cKed6XU13IkpOzesYdhIp53oddeI4OTevo04cJyd7Hd2JKDk3r2PYSZyc 7HXUiaPk5LyOOnGUnOx1TGMXJSfndQw7iZKzvY46cYycnddRJ46Rs72Oaexi5Oy87guvAJfjdK+j Thwhp+d11Ikj5HSvYxq7CDk9r2Mauwg53+u4LXZ8nJ7XUSeOkPO9jmns4uP8vI5hJ/Fxvtcxnjg+ zs/ruC12fHjgddzuJDo8yOsYdhIdHngdlydGhwd5HeOJo8MHr6NOHBs+5HUMO4kNH7yOOnFs+JDX USeODS+8jvHEkeFDXsftTmLDC6+jThwZXuR11Ikjww+vo04cF17kddSJI8MPr2M8cVz4kddRJ44L P7yOOnFc+JHXUSeOC0+8jvHEUeFJXkedOCo88TrqxFHhSV5HnTgqfPE66sQx4UteR504JnzxOurE MeFLXkedOCa88TrqxBHhS15HnTgmvPE66sQR4U1eR504IvzxOurE8eBNXkedOCL88TrqxPGwpLpS N1HvY98X8zrqxPGwoLpCJZ1S72X3Ra+jThwPC6rLVFJUiXpNucqsnJ71xbyOOnE8LKtOpf+prmyT WzOuf9PrmHciGhYjrFKdCO+VoUyKstD/m28W2agTx8Jib0JpXf2f1vWqTequruuu+mYuRp04FpZU 9zvDHGG/KRTqxLGwTXXJlOh9M69LuknLEDhLqrulve7GjhsW3dW8TXu+qjrmJ46FBdUNujehu7Gv cbTMZhl+s0pMnTgaFlRXqpuorh83f/BVr6NOHAsLqpN6nfn/hq/2JpKa7kQcLKiuUjrGDurtTdK/ G2EZdhIJC6prJa9T6m2+9d0IS504EhZUlwxFlhXtuPGTL6uOOnEcLKluge/mdXQnImFBdUsy+G5e x7CTSFhQXb9QuP1yhKVOHAeLvYm/zezLqqNOHAcLqrNdWFf1uiQp6U7EwE7VfTmvY9hJHCyobolv R1jqxFHgmeqoE0fBkuruRZ8Vt3HjJ9+OsEnWjSsQMAuqGz8Re2tAX/e6r8sYPGRBdeayiVq9Ld5+ uw9LnTgKFlRne6//XQ/7xNetiTpxDHzmdW9HOn09wibq/VADCIXP8rq3Svi+6iq6E+GzoDrdh82y 4n014/vJP3XiCFhS3QLf97r87TUaEAx7Vfd1r0vUviOCC/CX6mxOZxj3/OCA8lpDYhc8O1X3/QjL eOII8C6vS2rmnQiez1T3No4eEGG53Un4LKjuVmauIyx14vBZUF1pNPe+mHFAH5Y6cfgsqC5TSZnc f8zVOXPEEBHqxMGzrLq6G8cA/MYREZbxxMGzoLpC602HWIef/mvU+1GkEAQLqpMJE/OseiuDIyJs 0nN5YuAsqW6BQ7yOOnHoLKhu6dqZI/qwSc144sBZUJ1amGXpkAjL7U5CZ0F1qe5KFH+kWYdEWIad hM5iXpeXSmVvHe0Y1TGNXeB80JsYKqcjnTTUiQPnI697f7ewY7yO250Ezid53R+fxh/Sh01udCfC ZkF1auGj+GMibPJ++m0IgQXVLcXfYyIsdeLA+aA38RcHqa5++8EvhMCS6sycTu/bHBRhuTwxbBZU 53xOpxHqxEGzoLrFeU6O8bqkZzxxyCyoztaHHc7pNHKUh4IX7PW6g9TBNHZB81le53BOJwuXJwbN gurcz+k0Qp04ZJZUt8Bh+RfDTkLmo95E6rwPy7CToPlIde77sFyeGDR/qq6wfQml3o48OizC3ulO BMyfqrtNonPeh+XuiUHzUYR9z2ERlmEnIbOguiWO8zrqxAGz6HWWcfMHh/VhqROHzE7VHRdhuXti wHwSYWv3n4hpqBOHy0d5nftP/zXUicPlE9UNp0RY6sTh8lle99Z2DvQ66sTh8onqsvex7rg+LHXi gPkor3vPgRGWOnG4fKC6e928BLtbqcpp8s4DIyx14nBZUl2b9hJkxy1DdUvaqVN7pOq4LXaw/Km6 PDX3OGl/1muzpDYcWlTjdieh8pfqpCORtr+VTW51Uhjez/b0BbjdSaj8rTqJn7+pbo6rR0ZY6sTB suh1+S+qe0jtUNVRJw6VDXnd/cmCjqzXadn/dXBwXf5UnWZIKxHeuGVonnYcWa+jThwsS6oTOrmv 0+8cGmGpE4fKJ6r7g2NVR504UPaq7tAIS504UHaq7ti8jjpxoHgdYRlPHCh+q446cZh4nddRJw4U v/M66sRh4neEpU4cJp6rjjpxkHgeYakTB4nnXkedOEj2qu7oghp14hDxPMIynjhIPI+w3McuSHxX HXXiEPE9wjLvRIj47nXUiUNkr+qO9jrqxCHie4RNaurE4eF9hGV+4gDxXnXMTxwg3kdYxhMHiP9e x3ji8NiruuONqHt7EzO4Kv5HWIadhIf/EZY6cXhcQHXUiYPD/wib1HQnQuMCXsewk+DYqzoXxTTq xKFxgQhLnTg4LhBh6U4ExxVUx+WJoXGFCEudODSu4HXUiUNjr+qcJPol3YmwuEKEZdhJaFwiwlIn DoxLqI46cWBcIsImGfNOBMU1vM6RuMERe1XnRg7UicPiGhGWOnFYXCPCMo1dWFxEdUxjFxTXiLBJ mfH5REBcw+uaVN0Z7xQOe1XnxIGK7q5uSckYgFC4RIRtdHeiSHJibChcIsJq1dVZQ6k4GC6hulR6 sLXq6cgGwiUibFKlQ1umtaoo2wXBJbwuSboilb5EqgpGnwTAXtW5zrXqvkR3l+caEfYZ/O76XCTC vlAr/O7aXFF1ojv87spcL8Ja8Lsrc02vE3R+N67B1diruhM/LxgKdZ7mYQ9XjbAGdHdRrhthDUOK 7i7IxVWH312SS0dYyx3dXY3Le52QV+juUmxS3eNuN2f2YZ/JS3R3ITao7l7K1alt3mpKb8619jtP /gJgkQ2qKxJRnbJ4dKbbqkd312BThH1cie9HXjeRVww3vgR7VeeZu+Q9fncBgvI6oevxO+8JTnWz 7uqS6QJ8JUDVWd01dcJ0Ab6ySXUPfMvrJjp7GSPTBfjJTtX58InYrzR11td5TYz1kr1e52sMk+kC ikplZdrhd94RqurMdAFJWXdpmamqqHPGu3tEoHmdhNi5NzHkdZEpVaY1Uwf4wd68zt9eYl2WL4W7 vEsrpTJte/t+ZNhPsF73O0NXl0qpRmtv3AMnsNfrLtlJtLandNb3GnJ1n5cY7IJQexPL3PNadzSM 7Y09jaLMO+727oJ4VWdpre1VaZfbn6Whs3s8keV1v3PTndxeqb6oO534jTvhOPbmdVf3uieaOpWe hu7ldvjdseB1M4Xp1papSfcyqnsHstfrAlLdrdeyq0uz3uqYK9W9KqXEcgCx9yaeuaV98/LzDHlt Kst8ovZlUN0id609W2NJf0n4WuLwesjrPiXvUvk0t3kZxVI3aSGBGVaxN6+LwOteaLu6aEyBTzob nWSBt2bf7zBC8LotSNDVCV+fFV1+S7rY/vR2s9frYq6ptl1mfK9pdE8Xv1sBvYk9lPq3d8/Tyoqv LP4fTgC/g+r2kEte1zY3vbzrjC+tekn5EN8S5HW7yPuyrF7KKVLjkzqLdHZ/r/INXScyjZm9eV30 ifTtdwXd87Gzm1VF+mJ9aVXXsU9PgNcdyq3V1idlPmt9+pddm/sVNHGH4L1eh+o+wlifDOTrZUhL PkRebKE34RJtfVlaSpdDm58Ovako8IMkL7RUENU5xt6IKk3zvEvTopTUT5K/stAK7NrfxxgElwqS 1zmmlSHy+WNmZ8291fFXp39WglaBdf7o/4aXCu7N6/C6tbRV1fxxB7TBSLAoKiPBXiswbUwYzgP6 VeN1HnPTEtQmmFXSD2macIrPe70O1R2PuRfuUJRS/5OR9df/zJfehP/klV60JhW825H1chXvlY0P 1V2Ari9ePne7jyNMM93taK9YUiGvuwS/fu42X1Kkje/HafS6xLc3r8PrTmcaWv/yea/fJT68LhDG sS699DZuU4nP1ys69nodqvMLMT7b1dXG522Jj95EiNwzM3GL6lM/Z89AdUFSSIY3FEVR6Yyv1xnf vtP8bcjrgmSQT23tp7231vY2fBpYvzevw+v8pK2al097pwkMzGcbp5dU8LqoGEt8xvh+nnlns2fs 9TpUd0Hksw07KfjzzC1172z2DHoT0SIJnwTd3s7cYj7tvbkZxYfqYqftahlTn/VFlw9Jve6Epttu h0peB8LQNeZCSqGpykKu6ajrvGuHv+p9VZrcUjvP5Cr25nV4XSikktLd0nRo87zr6rSWap+U+6wQ KxGiVmKX58MUha0xFus/7sXrwHKXCzrsKL7/GYY8z+surdOiKO3QeqHJtBT1c9Y7z16vQ3XBkP83 iu9P7mKJlQ7CZ6iO3kRIvJk94y1jhF3vPKgOtlOmbStBdi3kdbCDLrV36VjJ3rwOr4P14HXgnr1e h+pgPfQmwD2oDtxDXgfu2ZvX4XWwHrwO3LPX61AdrIfeBLgH1YF7yOvAPRtUd2syO5G4hj4sbGCD 6tKnaVvoTcAGNqhOBjlXyTiKGdXBejaoTo0PgQgLG9iousyu0puALWyMsNOlRFROYAM7exOoDjaw QXW3RlXTxUREWNjABtU9Q+UENrBTdURY2ACqA/fsVR0RFtZDXgfuIcKCe1AduIcIC+7B68A9e1WH 18F6iLDgHiIsuAfVgXuIsOCevV7XlBuoxq8r4Clr8fYpmn6f6pK66+rV/5riaeOzfyE9pSqfNj77 F9JTtGTW3xflC1Tr37WM+ykbMhlvn3IW6GEtIQn1LEJSnZuneCuhC6luQ4TdEpTX/0LcPCUkCV1I dZEbl5unoLr/2HJvR1+fkvr6Lt4+BQAAAEKiGr9+zK1Qq+8ur5+y+nOXYZqr6mNkNrVx9VPqrFp5 YGbOtnH9Q+7l+h+/zFaO5TCz3VRqnkPTZ/QvZFz7mOqWtCulWrbJ7dfbif/F6iPbcB/orkvuq//s knzlDTHtJIOrKG/6L2Jc/wR7HtP8MeuNzxTz7HermCYv+5xhrT923dojS9f/ma82bcPaW/+K4laq Tn7BvV39iNScxw3yPoktqrutLgz1qh3XPqVcfWRlodbqQeXZ+rOUrrw3utaQ6lc+R/85tOt+fmkt Wt1yPt2z5Sg3uPiwMsKm901HttK8lI6V65PU8evHyDusfZcy69Z4nT2Pk/L8Z8O53ZQ6rPxtbEja hZXvIn8Ka0/T+qFB8g4bxLBOqPLLkh9n5V/3Saw+tffVf+uSa9zWP2vtkUmsXPkutY77aw9s/Q8i z1jpdfpnWalu+W3p3sSGLtUZrFZds8GFytUZl2btm9zKbPW7pOsPbItrrT6we5WtzJ3lt/U8hyYA AAAAAAAAAAAAAAAAAABAXCgZaylfZHlT6y8t3jIwDyJHKTOK1mpnw7X5R6puwzBBuARKKRlbtl07 B6oOGw0VpQp1tyfYnGS7kjdV0vaNDFpsq6yS68GUavtSb5ZZNV8LlDdNbp6Vl6qc97aNvbx0avr8 crLeG0d9fHfQTzZ75neye2RAq37xaTeEgz6v9gzbx7iiKeUhl2cLRi9KpePmeJWzVpzw1EhoZV0L a25qvo4vZ9blErbX7/54J/3HYL++vjaEgT6vndaIFZvd1o/WPjKd6qlBdzK0d9lIXOhlPQ1EL82G fsLcSJANVT01fX45eZVaNPb03Vor6/93MnvMAb28NoSBnNkqM1/MSZ5WpkdmrEb3OMx39aa0Ga9m MLteGs17NXNT2fH8SKTly3fN4vWd5sYvrw1hIGd2UOl8kqeV6WFP+rgxiWXUgN14bjTvnb5OKnp+ GLG9fNcsXt9pXnl5bQgDcz616PSXTMcyEzCfH6Xe+Wj4CIyPDb1fouCMibBaTk8x9Pkx7nz5rlm8 vtP0hMduCAdzZpNevhSTqzw/TN/AZlvS8Ge/4dFo1KLZ0DngU+/g+SFoHb181yxe30kWjWy+vDaE gTnFukMhX6T8ISvPj6QtVfNU0WvL7DF/Vt5Xc+XENDLkjb28dGr6/HK6V9E0psby/F27eHknWeSV XNo67QbYiFEUgFNQHbgnG4suAAAAAAAAAAAAAAAAAAAAAAAA4DlJ8g/HkWrauDmLxwAAAABJRU5E rkJggk== ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image005.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAIMAAAAoCAIAAABSJN4cAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAABTpJREFUaEPtWr1W6zAMTnmWwsDpE4QnoCxMXdmSkS5sjHdjSUbYWDuxNHkC +gQ9Hdq8C1fyv2I7pFDsHEiWe4tjWfkkS7L8TT4+PpLxGQACZwPQYVQBERgtMRQ/iGqJpsyvJvBc 5TXBo84nV2UTDiJYb9JSIdzicqWIlmjKu9XlK+Spw2I7N4Boyn8v2eP9NBgYzX6bpJfnwdbzLARI xHkORZoWB7a28V/8f5JVcVSKumrEPUFcY7M74G/YJ8tZ9Xzd4Z9NzUKaCF8iwOktJYZ5zCvznEc5 4zU6HwOTEsZX7SvBiKBcivF8po/r+6L5geH8ck/IP1VZylSVe8bQsSqy6oDvsbGqKKrDR5XJXYQD SQpv4Az4s5DAJuHvNMsyOoO/pjfhpxIKeFC+0qG1p0F3sT4fcOnjxDyJZgkNgTYAQ44Bi9+K0In4 RbWkEQx+CSQ19iLmmXGOoWLHPSqrvwRqQKEfMYPpCw592sBHtARqKnwfAZK4aw83nJ2qTUxUgZvz dGN7twG86cOmtJas9v7wSXCks5YZPtHH2gFRLWFGnUzmb2oJ16YwED8Uyg4kXrT9sQ2LWpkYglqL 7g8qwTKEZQYav2x9LEsMI2PX+Xy7eHUVrrMLbzWLmfUueXg2p/HE39Rl+Qb/wmRI1Sxn128vSXZr VQJYwM4uMEnLHNtPwmG3wbpXSAdF3m5fn69BVZBkHk280hwpO16ecPulKGO78gSL+JB9WeYkkYYN 8JSNWUZnS19sYhENRQlJVU8JPK6y/CRDrMJWb2O/NAfq8aOTHXEh5AhEnfl6AL7zEypMQGjsw+W4 PiIwjDwx2mK0xHB8YNwTQ7GFsgRUflekFY1ForM13ZSsle1+gnazhwLiafRgZQCUfKnRLlFnd0+3 4SdKhz8vE6vYVjNLwe8two9E7TQu8+ul2Kd4dTLxWIIfrDyPu2V3pOn+5OtnCbmxglM89ggYzM16 pX8YwE/v3/1QvQe8a/tdu4RnbGiPYHMG7i23qXB4vLPZpMVD16XN74Ii9tewPGF2F3Sr+i/1GuIH xPh9p/gY9NWAdQtdt03dAnpOC2UJve8oW8B7L9cXnqDvfbGa7MWSCHPGHgyh5pu5AK8lFjdH83/E bUb34kEsAVVYwj9gerNIt3tBKutB5Pgmcieezu+VjjYETOthvyCWoID0J9SwWpqTalqsGV5mA4tG NV7gzk1QaXTDRXP7bJYN58goFiIh47gkiLKeMNQ6dVNql+vdxrQfzlKfpPtJoSwh4EcA2cfI/SBx 9ra4zufbGb+be0zmy+2lig11fj5fJY84hCydy335dPHwLtIjt5Tk9tVyaLsvy3Xy8I4zNqunPF/D FLy3Y+qp15TnUHYgjU3QfvPpRod2yxdtPz60YGoj+XF5p2wRJOMpDsBxhJoOzkv7ul98hpkbW+mV sGyYwSRvw2IVyAEqoTcfh+pmkUeMNoTJRglVO32FUNPBmnGyjXgHTfFi7OnuPg55zy/BJn5QvlrH umTIMAQRGcoSxtbDvi8/NHYTajo4Lx0dMYNrS0p/grfpp5YhPBL68nE6LNZSm+6dUHlChd7jCDUe lsr0YiY7NJi3Jesfu2Y8Q2A6mLGMJIkwJssGKTequ8aTCePZNIlfgqib+vBxWPeIVxSM7MMUQrIP U3u15kxdAAKIPwYnPkieUIvQgxwPBX5CTQdLRZ4UNZGGbzJOCsEtJ7k47CRJvNH2Wk3B9Uroz8cB tq6P7GNyctosoaDRaSTUdPj9yLI58envy+KC54kva/rbJ46WGIqF/wMOVw0+nUzqfQAAAABJRU5E rkJggk== ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image006.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAIoAAAApCAIAAABlbSZzAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAABJhJREFUeF7tWj124yAQxjmLk8IvJ5BP4GyzVdrtpNJptkuZbhu7jLttU6WJ fYL4BH4pIt3FywBCDAKEfmzQW9H4WQwDzMf8MMPsfD6TqcUqgZtYFzatCyQwwRP1ORgDPIcsO0Qt xMstLiA8xSFbLme8LZdbBYFDJj7zn4ddff8aCeOxLRBdsc2WNVzho2S+zLQhl5NzV840NAjR8k1C ks0+Z3PDH0LSfbmQfar+My2PjkjFYOjWB+T7FDjqXNg86YZPeqZENYoQonDNSaJYEJdbC3jQqrXR +SZNAfg6yDUU2RkRaEUhCH0R4eHJ4agjXTAI1iU7roh1IRt0ED5JUqY91ZmY4NElwKwLtERaHEay B2VKuHnS+2pStArZ2JEz3iVnxT5Gic45vPaUTsBsZZochE11DA6JO7mk0h52CKK2bVHAI0RpkZTm WfApR9ZKUwA/3xO3eQsYWHeNNatxxfZlR9Ln9dyPVfF98iOMiCqQzUVGiSkIMjrYf8sTjk2ZS3WM xk3MU4bzU2BtB5/6aBqwmUID8N6yh0YI5e1IXJAkctaYgEbW1XiIMZTAA/qq0EBhHeiYNkw7o/0R 6XLDUmiu4GWRf/pas/FszLbSMfmeQ/b+X2EDmMWp1GNclcwkwV3NdaPiF3EtoVR+Y1c9atC5BCZ4 BjoJIv6H5AWOdGrhPs1xsKST0qwZyAmeYeDBUaQtJnTe4eRCFCoJD4uX1Cs0aJv/lZonnS2tBZ9h hNWPS4e96MkLY8zvA46WgeTw1LOS8JXOMTLB9oOlx2gdDhM8opxRRfbUQ6lTmjKQELkV218Pp8e/ ryt6+y62S1nXul0kx7cPXOMaJlZF1bYI/gyzqwYu+deRkBO5+/3JNWJDdg9quXD1KlTlfvd0K2qL FJ7Dn6djmRkpPt6OyeMPzyyJsh6A1dr0OmZ0Dg8Ltt1e5NjjV94IM5UtKAFt89X6OSW791qZfr56 pXok9OKGQCYqWdxyzoDw/R1nAFBVf2jleeYo+c/X7EyY28jukR32svpJayOn79LSMJnqp5waI6JC iARvA5aHgTxOZ/l2YRGV6JB6pnQPdZLIa1c9fEf/oSJYY2LEVT9ZLUQBNyKyZiDBzpR5KJ6bKsv0 WokMOEzwuGCs0nlIdEj0EB4LRUGXH1sG0tsNXBoe0ND+ZzhCDr3i33A5t+bXUkX51Mrh8xw03boa vXs7gr55Qt/zNrj2NDzEABtbS374JEg4jWO4D2dfqVyazsu4yQsTpOv8Mwnutbvg8bpf48dX6mSO 4T6cLy3zFvy94GnBz5/UDo+PCLsh4MPZfwdXoAznewi9BuxexGVWfU7L7lvp4lu+tq0/xeV3MjNN t652HuV61Fc4Ao1T4NdSzJRWD3zZwzQ9qnPQdOtqXGMYgnDGDe1XtTq1dGLTc08eCpQYOob7cA4D g23WgMbNZiF8kh8Omm5d1zNX7WYKdFpwGgOXr3ySH3YaXKysJ1hk7Im7AsmhYdpQxs3xWorZKnPy wytBYh/u4BwnOufpIVU7Y3Nl6gh9j1UCfRMkVxbtENONS3uG2PGoeIxJe0Yl2GEW+w8F4mHC4ttD 0AAAAABJRU5ErkJggk== ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image007.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAIoAAAApCAIAAABlbSZzAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAABLxJREFUeF7tWzt6ozAQlvcscQp/OQE+gXebrdy6gzJptkvpLg0unW5bV2kC J4hP4C+F4S7ZkYSQBiSewoINVAaNZtD8mify4uvri8zXWDXwY6wvNr8X1cAMz6j3gVt40vgQrBf8 WgeHVFVVGitDMRoSZAoJTNfSpAfgH8SIsZRZljo2sCD2OLqS0CNeGCVMPL0hxI/Eu7B7nw2yn17I 6ZQr8uXjRL2RNJyrwpYz8wUzNk0ddqQKo1gymhdCCsba1imRgysxK97DuiLf88IQAJCowzMMh2ba aDQCL+LWuSmuJL1eCHm4v2OP6I23/cVvCNn8BqVerloHJ1jc3T+Q82ciOcbBnjx/PN5jd0VZve6F G03jl6ez//woBI3NtY0mNWB6io4brqDk81ynKQbH04sIOGn8BvDmF4QcAEewU3ltjkm0PS15vFvu SZToqOqk32p8FNZDlXkJW+oJ9Bz6l59M0ev1y3WlgrM7bf8itYMIniCkh93+tM2cYrIFBmucktxK 883kOPe04P09ngPIqxhs9IG/NCWLMWx2+WKjutgz4tzAtfXEwe7zGTY69f75Di8Gm0Io0qg+Pexf vfAP942bYwFpDhu1JhbhpnS5tB5qODL5QneZ/bDEGtlOOdVKIkPmzZZWMJcsSxfp/JxYG/HPihJ1 L+NM2WdFCxQ3eZ2SVUE5GVc2jBeco5Ap3ZySW0PIyhgz1oapLretlL2An1MydhIHi/0q+RhvLmxV m65jT8vFxMHb98GG6mYcRvw/vAXESOE0S6lotj5KktNAQytftibZZB58hsfSzqhvElb0GGFIrS1k OjPDYwee+iZhQU4Gp0a6OpLDQ9NT1BamhlhuE5sWo0nDZFhpwceOsnpzabucYrpfXUcnzMkVa3Hh ANVeL4dHTw4ypqfY3sh0YlCEwwhPHmRQtaAto+lDCo8Kvel3p5eumtQyZRucvN8CG8MjcwRa0JW8 U9EKIbFWm+rp++msdPKbK4V9lTRduqZjP3XYn42X2no5MB19zqjR3N3mCIieT+/4IwmFAqsf2Q5q gcgQlaeMJou0r62pccTm0+QjX9n/abIFkn3eFZ+NPRqyWDjKG1l5L4w1v5TuyNRUOOj71jcJEWaa L/S6eMVjD6+nuG2I4kpjKSw9H3SRU2Yue3mGJiEkx0pVqjYS6bK1e79F3QPihwUnGpi/G+x75b9N 4QFslB6EpYWWWhkl+HmFAJZdsTEqaLoNWVodYwNbrnnxWBbcCB5pN3Y3eE0so262ruNfQdNtyCY2 /Xk1gAdX0Db9WxU85qaHXHQFTbeh/vq0zKEBPJYlKuzM8MzgcDW5/d6z8uDQWVbPqod4aXVM/NVV PcZbLPQqaLoNNa/Bb0g5nG204oyP07KcQR7wZYcJil61gqbbUKv3vRGxU+eG1qj6s1KFpnGDFTTd hm6k8VZi3Do3k5dYgtdTW1jsJNVqicgraLoN3dBlNRfVCkyrxLjJgY80oZ4HOkklZ5lp8J8aygex 8lax4Y8NVpfZi5lD58Y+AMojTXmoydZDR7NdphY/CFQDDasH9dNrhnrpcoDJ80Gq5o7GAeU4Y49R Ed/tINXkrMfBFnYocmLW41BTTkTP8DhRe1Oh/wDapYcwXJFAiAAAAABJRU5ErkJggk== ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image008.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAPEAAAATCAIAAADOJXzXAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAABApJREFUaEPtmjty2zAQhqmcRU6h8QmoE2jSuErrjiyVJl1KH0AqlS43SCWe wD6Bx4XIuyiLB/EiFlhIUEbmgI0t4bX74efuAvbifD5X5SkEZkTgy4x8Ka4UAoxA0XTRwdwIFE3P bUeLP0XTRQNzIyA1PezXC/6s94Ph4tDtW9nA2szGoWvXqmm9bjtzXG5KbDFh3yK80jCa1XbaBtNU 8MFoyWNnAEVmgLBN9gZFHCBwQ+F0rSSufyStHWfr56akaC7vXZlZ6G2Aew/+9Lu6qupdP34ev2mO /Kv+2JjN4pNo4kObox6Y+zdumrBjaqWx2LGpq7oZrTL8sixlU+W0EEchjM0JEGa0tijsR5wb64HA gSZpOV+EeflfuenFkKXZbjuKlTiqEYs7kn22vIAv1Dr5PQzszvRt8tGVGxhRK62X6WpM/iiKWwBM 0jSNm+EfDoeGTWqfJv2AhJwmr9Og6OaIzDFq2gYg4iFunAyXMk5TdIRlonjYEbFE5w/HUiPLRGD2 kGtqK/hMDGc9YKl+1+ygNykoIihyArRSZxyYlaAi3NTUQTjuFvg2PBUdLiFCwOSKRpOH1LRjdfy9 hG3nod/MT7GQdlm7q2GfpoW9O2ETe7jL+uExU3xvVlf+vdk1IP0K1O9UMZj5PhQ3ApgSpyncVFkR hEMQGZ8IokAKOkRCHJ1+PIGKl0WBgkho2tmC+I5IH9CS5jL5ekdR9oZrVheGEGG9WYYfCuxDgzdU 1/A0VEn7UGQE6Gyxne9CQZvCzfQeg0MJ0jJZsjyYho5Fd3tLzOVE1nQe471GTBOadt5Eb3r3y5TQ 9eJdESu6dalvxcl3wSoXV4JKoCwQQByJRnU3GcipCVTGkQldeewh1x4Ubs6ektAi4epydNO6P1BE TsTk4cHv8rq/v6vmaaNiwMPKCv+xW5nHr8tQl+X2FQ/br9vgWJh38wTB9f00XhUOp/eq/v7NHsUM fvvolRW80+ohZvikfbk5MIP6jzdoWm4Ph6h1zhQSRV6AyW7wARRu0ZmH/QtI4xcBw3XolIRcKdoW DvvnH4+6qmQCN7d97CwjoV2AyndcXtVBwNIJ2wwV7BiV+4rHI3/DGvtKUeceeeKQBptvvpWfrG5X 10cBFDcCmBKnVYbjd6BWMFRMYnCSkgiZZ4QbnonAnOlt8zSoVzqYW42ygJcnK3204ncH6uWJXCOQ vYx11NZYhzxrS9g1hTTMOt6xk4vZMinQYotj7WEUNwGYpmlWq4ynZoRbGA71cJhGEOWGSFEX6/yU ryrs8eA/uadYwIhoBrrXDvCHpJdVHy9f7tX+ZLvgb2zP1Z+rHZ45t0+s6a5tTz+TK95kHc1uwOy5 fWJNz05sxaE8BMr/5eXhWGa5HwL/AL6/ODjfGjpcAAAAAElFTkSuQmCC ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image009.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_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image011.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_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/image010.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wgARCAF/BFEDASIA AhEBAxEB/8QAGgABAAMBAQEAAAAAAAAAAAAAAAQFBgMBAv/EABgBAQADAQAAAAAAAAAAAAAAAAAC AwQB/9oADAMBAAIQAxAAAAK/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAfEVGaquMo3ag+e80LPO80LPDQs8NCzw0LPDQs8NCjSa7QdAFeWCh+DQs8NC49gA AAAAAAAAo+5agAAAAAAAAKuMXoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD4quxn18RbT74TgAAAA AAABdyY0nPpDkgK6q6/JIkWXpWLMc+j4PtTRDSM13L5Gkhn+JpmZ9NKpbk9fFOXbNeGmZnQkTpVy S3K8sGc+DTMzck1U15pmZGmUF0dStLJnPg0zM2ZI48ohoTOGjZkaZmpxbgAAAAAAAAAAAAAAAAAA AAAAAAAAAcfqjlX7yL6B6eJP1zsRLERLERLERLERL8Ir7+O8AAu5MaTn0hyTz3wzUmNIL4ACivM0 fVzDtyPU30EqdDnLsquvKSTotnwKC9orwgQunc7d5wgzPoZ+TGkk6isq0sbCq+yz+qqcQocyIXHO aM1ZV88k0llWkmdL6EHv3FTElxDQxpNWS1YO9d34F9IiygAAAAAAAAAAAAAAAAAAAAAAAAAARHIE U0ZQ66XUWwpuPELPXg9eD14PXg9DqPIOVcHRc5159Mh203cmNJo0hyQFDwu6Qvu+a6GhZ4aHN3sE 4XmZmlzW/EA+b6rvDPyY0kt+HfgUF5R3hU/U+oNMouxbqizKOTGknWr0VCS+kWUJkOYQIkuIaEGc nwJ59VeioS7752UXColkWJLiFxRX9AWUuq7naqlxC8lRZQAAAAAAAAAAAAAAAAAAAAAAAAAAo7Sj spC2oC878e2bTnBpzAAAAe9OQmzKZCWj9pbeq77qLfm7ykxpPAJAOHcVvlmKxZjn0CFGthUSJ489 Cv6TA59BWTewRpIrfLMVlh9iv6TA59BW+WYrJncRONiAK2RKDn0Ff8WYrJMoRONiEWUKxZisWY49 gAAAAAAAAAAAAAAAAAAAAAAAAAAq6/ryvyhLgF7249s2nODTmAJUqMqtaOdq1oKtYw+x5CXHfg40 X1V2lGn4+znQdAKPkaFnhoWeGhZ4aFnhoWeGhUHcuEGWfYAABnzQM8NCz1oTQAAAAAAAAAAGf8NC zw0KFNACHVGhZ4aFQX4AAAAAAAAAAAAUfI0LPDQq2yAAAAAAHPpERphpzAAXvbj2zac4NOYCysq2 yo0BGYD5+jlHHvqK6jwTh7f5+zrssRVeABn+PbiAAAAAAPr5FrY5meW4AGa0uaPALinuCcAAAAAA AAAADNee+AFxOgzgCFTXNMAfWkzekAAAAAAAAAAAAM/x7cQCytKu0AAAAAAFfYVkoVwvzgAXvbj2 zac4NOYCysq2yo0BGYACluq6VdYL6EiP7xo3nufWABn+PbiAC9KJphmWmGZabwzS9qyMAC2sM3oD oBmtKMy0wzNxOAAAAAAAAAAAGa80wzLTCDOACFTXNMAfWkzekAAAAAAAAAAAAM/x7cQCytKu0AAA AAAFVa1Uq4AvoAAve3Htm05wacwFlZVtlRoCMwAEKbF7GlGjMBoOnHtm1A6Bn+PbiAL2ivSSAAB5 6KGPe0QAsq3oaICPIzReqEX3TO3BOAAIpK50scvVEL1RC9UQvVEL1RC9k5vSAEdReF8oRovuFMOC iFnWAB9XdEL1RC975vQnX4+4wUQvVEL1RC9UQvfaEaLpme5foU0AAz/HtxALK0q7QAAAAAAVdpWy hWi/OABe9uPbNpzg05gLKyrbKjQEZgAIsqF2NQNGYC+7c+mbUDoGf49uIAvaK9JIAAAGf0FQQAAX 0ivsBmtLmjwC4p7gnAEE51YAAAAAAfWkzekAM1574AXEyHMM2AAAABoc9oTrGkxiiAAAAAAsq0aZ FlAGf49uIBZWlXaAAAAAACDOj9jRjRmAAve3Htm05wacwFlZVtlRoCMwAFZZ0Mq+IvofXzK4uhn1 gAZ/j24gC9or0kgAAAV1jBKcAFja09wM1pc0eAXFPcE4HPP2NYAD6E+d3IHs4QU4UMebCAPrSZvS AGa898ALidBnHN0FfU3NMAfWgz+kOboOf36Hx9iMkiMkiMkiN5KEOFcjMpUUAmXWd0QBn+PbiAWV pV2gAAAAAA89OZzyTG0ZQ6Ave3Htm05wacwFlZVdjRf9vlGf0+R9PiI59U/1830BKK1rb+uz6FV4 AGf49uIAvaK9JIAAAEKbAKgAE64qLcZrS5o8AuKe4Jx4UPD3wAWVbfncAAFNCnQQD60mb0gBmvPf AC4nQZwBCprmmAPrSZvSAAAB5CJyoFuqBbqgW6oHaqkRwD3S5nSnoM/x7cQCytKu0AAAAAAAK+r0 NBbR8iysC97ce2bTnBpzAAAAAACfzvec8z6HsWU6DoGf49uIAvaK9JIAAAFZZ0hEABZ2cKaM1pc0 eAXFPcE74+/kzYAGlzWlPQAAVECfAAPrSZvSAGa898ALidBnAEKmuaYA+tJm9IAAPn6pzlGAAAAA ABpc1pT0Gf49uIBZWlXaAAAAAAACqtefY599fOjMBed4c3Ppza6W1Uq6FKuhSroUq6FKuveKTrdd edgziu1A7U067aZDmRmHJAZ/j24gC9or0kgAAA+M9YVoAJJc9AZrS5o8AuKe4JwM58TIYAv6CeW4 AAKiBPgAH1pM3pADNee+AFxOgzgCFTXNMAfWkzekAAOeeuqQAe+Wpw62YrFmKxZikiW1SANLmtKe gz/HtxALK0q7QAAAAAAAAhVGkrLKa4W1d7rPfcJ6FSITu1ILtSC7Ugu1ILtSC7UfMu4FenD3wnC4 mQ5mfSHJAZ/j24gC9ohpmZ9NKzfpo2dGhrqzwAAXNfegDNaXNHgFxT3BOBCptNQkcAFrY5nqaFTf RbqgIHbiAfWkzekAM1574AXE6DOAIdLf0AAvqH7NGru5KRpJDpb+gAFxT/Zo1b0JyCJyCPmpmwgB pc1pT0Gf49uIBZWlXaAAAAAAAAAFdW6OPOqjSY1tIdAAAAAAAAXEyHMz6Q5IDP8AHtxAAAAAAAH3 93J72ABmtLmjwC4p7gnAcewznxfUpzAAAAAB9aTN6QAzXnvgBcToM4A8z2iilG+vkAA+tJm9IKK9 5GedeQAAAAAA0ua0p6DP8e3EAsrSrtAAAAAAAAAABw7nK6PcpQovm/d5QL8UC/GfaB1n2gGeaE5n mhGdaIQ5hXaDoFHy0IzzQjPNCM80IzzQjPNCM99X4ppc4eegAAz+gGeaEZ60mgAB8fYrYl6M80Iz zQjPNCM38zYQB9aTO6IAz/mhGeaEQpoAAcK25Gf80IzzQigvwA+K60FB86EZ5oRnmhGeaEZ5oRnm hGe0HoAo+WhGeaEVtkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAiEtUC3VAt1QLdUC34Vk UfIASb2tsgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABX2FeV IAAAAAHZdn39AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAhT RRrwUa8FGvBRrwUa8FPJnjz0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/2gAMAwEAAgADAAAAIfPPPPPPPPPP PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPA0ggQQQQQWPPMMMNPPPPPP PPPNPPPPPPPPPOPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPBPvPPPPPPPPPfPOFPOPNNPONNPOGON ONPNPPOEOPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPBXPPffffefPPPfLPPPNNKLKDKMPLKHABAHENP LAMAHNPPPPPPPPPPPPPPPPPPPPPPPPPPIv8AwHHHHHHRlff3zyBjAjjCCjyixDSjjTgDwDDTAByD RTzzzzzzzzzzzzzzzzzzzzzzzzzw/wA8r88888MPjEv88888MMscc888c8cs8sc8s888cs888888 88888888888888888888888f88r888++78/4988wwwwww408884w088888888888ww884w088888 8888888ww8888888H888r88888t68q8888888888888888o8888888888888U888888888888888 8888888888Y888r888888j8/888884884888U888s8888888888888c888888888888888888888 8888D888r888888Q88C8888o888sU840sMY8848MMMMM88MMwMc8MMc4MMMMM4088888888888A8 88r888888A88K8888o8888s88888o8488888888888A888888o888888888888888888Q888r888 888m8/c8888o8888o88888o8084Ec8888888EMc8sMM8MMMcs0888888888888t388r88pxx3+85 88888o8888s88c88o8084888888888U888888884wwwc8I88888888888y88r88888888DY8888o 8888s88U88oo88s888U88888U888888s8888888o88888888888A88gwwwww65qRW8888o8888k8 4888o8U8s888U88888U888888s88s88U8o888888888888R88999999/d8W8888s8wwc88g888o8 w88owwU88888U808sw8c84088c8o8888888888888n/888888888W888888888808888o8sU8888 888888U840888o0888888o888888888888885TXOOAAhBjG88MMMMMMcsc88sMc8888MMMU888MM 8888MMc88sMMMMMM8MM8888888888888888888888888888888888888888wwwwo88U888888888 8888888888888888888888888888888888888888888888888888o88888888888888888888888 88888888888888888888888888888888888888888888888MMMMccc8888888888888888888888 8888888888888888888888888888888888888888888888888888888888888888888888888888 /9oADAMBAAIAAwAAABDzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz zzzzzzzz+/bPPPPPOfzzjTzTzzzzzzzzzjzzzzzzzzzDzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz bx777777774DzyRzxjjzTDDDTDSDzDDDDzjDBTjDzTzzzzzzzzzzzzzzzzzzzzzzzzzzx/37zzzz zjb74DygjzzCSxADwDSwwDDBATyQhwxSjyBTzzzzzzzzzzzzzzzzzzzzzzzzzxz/AOdNNNNN0O99 A88EU8EwsAA8AU40AsQoU8UswwUEYoU88888888888888888888888888s++3+++++N/zOa88888 88Mcss888ss88sc8c8cscs88888888888888888888888888888e++D++x882++Nt88888888408 888888888888888888888888888888888888888888885+++D++B88V0++888AAAAAAAAE088AU8 8888888888oA88AA8888888888888AAU888888h+++D++B888I+u888AAAMMMAAA888Mc8888888 8888sM88AA8888888888888AAU8888885+++D++B8887++V88AAA8888oAE08w08884wwwwwc84w 8wAAwwkowwwwww888AAU888888u+++D++B888v8AvtfPAAAPPPPKAAPPAFPPEAAAAAAPPKAPAAAA AFKAAAAAAFPPAAFPPPPPPK/vvg/vgfPPH/ufPPAAAPPPPOAAPPAFPOAAJLDKAPPKALDAADDHLPPP POAAPPAAFPPPPPPLffvg/vkwQQ/PvPPPAAAPPPPOAAFPAFOAABPPPIAPPKAPPAAPPPPPOMMMIABP AAFPPPPPPPEfvg/vvvvvvvv7/PAAAPPPPPAAPPAFOAABPPPAAPPKAPPAAPPPKAAAAAAAFPAAFPPP PPPPPvvqfPPPPNrlngfPAAAPPPPIAFHPAFPAAEPPPAAPPKAPPAANPPIABPPPIAFPAAFPPPPPPPPG fjwwwwwwyPHgfPAAAPOMOIAEPPAFPJAEAMMAAPPKAPPAABMNCAFMMMCAFPAAFPPPPPPPPPEtvvvv vvvvvgfPAAAAAAAADHPPAFPLDAAAAAAPPKAPPHAAAPKCAAAAAAFPAAFPPPPPPPPPPHLegQTDDz7W PPPPPPPPPHPPPPPPPPPDPPPKANPPPPPPDHPPPDPPPPPPPPPPHPPPPPPPPPPPPPPPPPPPPPPPPPPP PPPPPPPPPPPPMMMMMAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP PPPPPKAAAAAACHPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP PPPPLPHPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP PPPPPPPPPPPPPPPPPPPPPPPPPPPPPP/EADQRAAECAgYJAwMEAwAAAAAAAAIBAwAEEBESFTNRFCAh MUFQUnGBBbHwEzBhIiMyQnCAof/aAAgBAgEBPwD/ACyDZn/FIGRdXfUkJ6eXEou4uqLuLqi7i6ou 4uqLuLqi7i6oJLJKOXO2WDdX9O6GpNsNq7VhPsvYpd151Ky6urWu6BFBSpKNIa6kjSGupI0hrqSN Ia6kjSGupISYa6khFRdqUvYpd15yAKZIKcYbBGxQUonH1I7CbkiqKoqiqKqBIhWsVqhqeMdh7Uht wXEtCsPYpd15z6e3vcXtS5/Ne+sooW9Ick2j3JV2h+XJldu6Jd5Wjr4cYdxC7rzmWCw0g0niL3pO baArJLtjTmc405nOG5htxahWgwQxsluh5pWjUV5y0No0T86h4i96ZzGLx7ako/8AUCpd6UT7doLa cOcyqVvJqHiL3pnMYvHtqSRWXkTOgxtCo585k8ZNQ8Re9M5jF49tSX2Oj3pJKiVOcSi/vJqHiL3p nMYvHtqS6Vuj3pJayVecMFZdFfzqHiL3pnMYvHtqSIWna8qHTsApZc6bK2CFnSeIvemcRfrFs+VR UuUVLlANma1CkS7CMhVxon3ah+mnHnUg5WFheFJ4i9/sOui0NooccUyUlgxskorzlh36RoXCEWtK 0oeSy6SfmNPayWNPayWNPayWNPayWNPayWLwbyWC9QX+qQ44Ti1ksSkuprbLdExil351JzNn9s/F EzKI6todixd7uafPEXe7mnzxF3u5p88Rd7uafPEXe7mnzxF3u5p88Qnp58VSGpEA2ltomMUu/O5e dUP0ntSAcE0rFa/tTGKXfngkorWK1QE68PGuLwcySLwPJIvA8ki8S6YvEumLxLpi8S6YvFen/sGd s1LP/U7/xAA2EQABAgIFCQgBBAMAAAAAAAABAgMABBAREhVRBTEzQVBScYGhExQgITKx0fBhIiMw kUJwgP/aAAgBAwEBPwD/AGyt5tv1GqFZQZGaswcpJ1Ji8xu9YvMbvWLzG71i8xu9YvMbvWLzG71h tVtAVjtt+ZbZH6s+EPTzrnkDUPx/FL6JPAbam5oMioeowpRUbSs8Z4Es8f8AE/1HdXt0x3V7dMd1 e3THdXt0wZZ7dP8AUEEGo0y+iTwG2XFhtBWdUOOFxRUrOaJCXCEdoc5isRWIrEViKxQpCVipQrh7 J6FebfkekONKbVZUIl9EngNs5SdzNjjSzok8B7eIKKfMGG551Gc1j8xLzSHh5eRwiZYDyKteqGNG ngNszLnaOqVS16E8BS3JuuJC0jyjuD+HWO4P4dYclnWxWoUIWpCgpOeJd4PNhQgCoVbYeVYbUrAe Br0J4CmR0CefvSRXnidl+xXWnMaMnO2V2DmO2Zw1MK+6/A16E8BTI6BPP38E+i0yThQ2qwsKw2zP 6A8vA16E8BTI6BPP38EyK2lcKWzWgH8bYnR+weXv4GvQngKZHQJ5+/gmTUyrhS2KkAfjbEym00of jwNehPAUyOgTz9/BlByy1ZxoaRbWE47acRYWUnVS16E8BTIqHYJ88feLQxi0MYceQ2K1GJmYLy69 WqjJzNpZcOYbayi1ZcCxrpa9CeA/gZZU6qymGm0tICU6obXbSFDXtmZZ7Zsp16oIINRol1WmkkYR dr2I+8ou17EfeUXa9iPvKLtexH3lF2vYj7yi7XcR95QjJm+r+oaaQ2LKBE9NBCS2nOekSuhTw21P Slf7iOfzRKzhZFlQrEXk1genzF5NYHp8xeTWB6fMXk1genzF5NYHp8xeTWB6fMHKbepJh3KDi/JP kKJXQp4bbmZEL/U35HCFtqbNShV/FK6FPDbikJUKlCuFyDKswq4RdrepRi7Ebxi7Ebxi7U70Xane i7E73SLsG90i7BvdIaR2aAnD/k7/xABbEAABAgIDBg0PCQYFBQACAwABAgMEBQAGEQcSICExsRMW FzZBUVVhcXJ0gdEQFBUwNDVUc5GTlKGkstIiMkBCg5LBwuIjUlNiZbNDUGCj4SQzY4KiZHCAkPD/ 2gAIAQEAAT8A/wD7ULKHHTydS3gpfDbFLRt0tG3S0bdLRt0tG3S0bdLRt0tG3S0bdLRt0tG3S0bd AQR/rmOmcFLkBcZFMsA5NEWATwDZpG3SZNDEphkPxStgpTep8qsfqpFXTpi4bISBYZH/AJCXD+FI ivVYYgkdkC2n91ttKfXZb66OVgnDp+XNY07wfUB5LaKmcetVqo6JUdsuqP407Ix3hkR51XTTsjHe GRHnVdNOyMd4ZEedV007Ix3hkR51XTTsjHeGRHnVdNOyMd4ZEedV007Ix3hkR51XTTsjHeGRHnVd NOyMd4ZEedV007Ix3hkR51XTTsjHeGRHnVdNOyMd4ZEedV00qM4t2p8Et1alrOiWqUbSf2iqDZwS QASTYBlpWK6WxBvKhpO2iJcSbFPuW6GD/KBjVw5OGkZXSsMaVX8zebB2GbG7MduK9sNNMc83amPp S+mmmOebtTH0pfTTTHPN2pj6UvppVR52IqvLXn3VuurZBUtaipSjtknL9ErLPJxDVnmTTM2jm2kR CwlCIhYSkW5AAcVLm01mUdWKIai5hFPtiEUoIeeUsA36MdhOXGfL9DulTSYy+cwjcHHxUMhUPfKS y8pAJvjjsBpIp9OH6wytp2ax621xbSVIXErIUCsWgi3GP9ADJkoclJzW+UyW+Q49o8QP8FnGoHf2 Bz46Ta6DOJgVIhlJgmTsNY12b6j+FlHXXHnFOOuKccUbVKUSSTvk/Qqh6y5f9p/cVTZwbpdY1wjC JPCuXrj6b6IIyhGwnnx273D1Kt1EmFYIcRSnUwkKTYlxaSor30pxWjftFNSP+ueyfrpqR/1z2T9d NSP+ueyfrpJpd2JlENAaLougICL+9vb7fstNn0SbXM+yk1io7svoXXDpcvOtr69tOS2/FtKq1G0s zRyN7I9c37JavNAvLLVJNtt8f3fX9DrVUnTPHsRPZDrbQmtDvdBv7cZNtt8NukvuYGXzOFjRN9E6 3eQ7edbWX16oGy2/xZP9ATGZQkrg1RMY+lppOyo5TtAbJ3qVhr9HTNSoeAvoSEyWg/tFjfOxwDy/ Rah6y5f9p/cVTZwaxTBU0rFHxhNoW8oI4oxJ9QFJXBKmU2hIJNtr7qW7RsAnGfJRhluGYbYZQENN pCUJGQAYgMGaTWDksAuMjng20nJslR2ABsmk7ukzWPWpuXWQMPbiIsLihvnY5vKaRMfGRptiot98 222uuFWPno064w4FtOLbWMikKIPlFJZXWfStabyOW+0MrUQdESRtWnGOYilV63wVZGy2BoEckWrY UbbRtpOyPWOpWvXbNeUrz9Vp1xlwONLUhYyKQbCOelWq9zGVRbTUc+5EwBISsOEqU2NtJy4trJRp 1DzSHW1BSFpCkqGQg5DSaTOFk8vdjYxy8ZQNjGVHYAGyTSeXQpxM3VIhHlQMNb8lLJsWRtlWW3gs FHn3X137zq3FWWWrUSbOfq1Y1qynkjXuila9ds15SvPS5VroieRK99HUrhX7sa8uXSgpXFI+S6+R als7QGQnhxCkZMY2YulyMi3ohZNtriyqzg2urct1qvcrX7qaXV+/0Dyb8ysCU1rnMoiEusxrriLb VMvKK0K5jk4RjpIpyxPpS1HsWgLFi0HKhQyjqVquiLg4hyAk14pxBKXIpQvgk7SBkNm2cW9s0jJv MZgpRjI6IfvsoccJG3kydW5L/wB2bcVr89Lq/f6B5N+ZVKt66JRy1n3x1Jn31jPHr949ViKiIVd/ DvusqxY21lJ9VKq3QouGiW4OcvF+FWQkPr+e3vk/WG3bjzUBBFo/zewWCk/n8LIIAxEQb5asTbQP ylna3htnYpOZ3GT2NMRFuWgWhtsfNQNoD8dn6NUPWXL/ALT+4qmzgRbhZg33E5UNqUOYdSoLQdrt LgRaAVq8iFEeuzCrvP3J3P3kpWetIZRaZTsYsRVzn1WUl8BETOPZgoVF++8q9SPxO8BjpJahSaVw 6BEQrcbE2fLdfTfAneScQHrpG1Oq/HMltcrh2jZiUwgNqG/8mz10rTVp6rUzDCll2GdBUw7ZYVDZ B3x0Ugox+AjWYuGcKHmVBSCNvopKZg3NZVCx7WJL7YXZtHZHMbRSteu2a8pXnpUGTwE6nr8NMWNG ZTCqcCb9SbFBSRbakg5Caan1V9zPaHfipXGoUvgpS7MZUlTBYALjJWVJUm2wkE2kEZcvUqDEriam QBcNqkBTYO8FED1WUukTtcfPTL21nraDxWA4lOEYzzZOY7dEgqUEpBKibABs0kVzFUVDpfm8S6wV C0Q7SRfpH8xNoB3rKalUi8KmPnEfBTUqkXhUx84j4KQEI3L4CHg2lLLbDaW0lZtJAFgts2aVr12z XlK89LlWuiJ5Er30UrvPVSOrzjjK72KfOgskZUk5Vcwt57KEkkkm0nKaVFqTDzKETNpmguMqJ0Bi 2wKsNhUqzYtGIb2OiatSNKQkSaX2AWY4ZBPlIppcke40u9FR0UhYKFgWi1CQzMO2TfFDLYQLduwb OKl1fv8AQPJvzKpJYdqLnsuhn0X7L0U22tNpFqSoAi0Y8hpqfVX3M9od+KkyubyKJg1ogWVQkRYb xwOKWLd8KJxcFHW1MvLacFi0KKVDfFLk0SspmcKf+2C24BtE2g5h5KV+nSpPV1aWFXsRFK0FBBxp FnyiObFzjqVXqdG1kWpwL63g0GxT6k22naSNk5qJuVSUJAXGTAqsxkLQATwXtNSqReFTHziPgpV2 qkBVlUQqCdiHNHvQrRlJNl7bZZYBtml1fv8AQPJvzKpVvXRKOWs++Oo5UKrTzq3XJbataipR0dzG Tl+tTU+qvuZ7Q78VNT6q+5ntDvxUrtUaElUtM0ll+002QHmVKKgATYCCceUjL1KlRq46qEuecUVL S2WyTl+SopHqA/zebTWGkstdjYlViEDEBlUdgDfNJxN4mdzFyLilWqOJCBkQnYAwGGHYl1LTDS3X FZEISSTwAUh6h1hfSFdZBoHJoriQfJbbTU5n/wDDY86KanNYP4bHnRTU5rB/DY86KanNYP4bHnRT U5rB/DY86KanNYP4bHnRTU5rB/DY86KanNYP4bHnRTU5rB/DY86KanM//hsedFIioNYmMYg0OjZ0 N1J9RINIuWR0Db13BPsjbcbIB4DkOFUPWXL/ALT+4qmzgPtaNDutW2X6CnyiyiklCilQsUk2EbRp UeJTC1zlrijYlThby7KklI9ZGDFuKag33E/OQ2pQ4QOpcsh0OViiX1Y1NQxvd4lQFvkt8vVupMIX Vth4gX7cSkJO8UqtHqHk6lzhxS6mQoUbQhxxI4L4n8aVr12zXlK89LlWuiJ5Er30dSuOtCaeIPUu c6y4Xjue8aTl1T09mDqvnLiXCedRpc8l7UfW1kvJCkw7anwDsqFgHkJB5sGteu2a8pXnpcq10RPI le+il1l5RiJWx9QJcXwklI/D19SW3RJvK5bDwLENAqaYQEJK21lRG/YoU1VZ54JLvNr+OmqrPPBJ d5tfx0qbPoqsUmcjIxDLbiX1NgMggWAJOyTjx0ur9/oHk35lUq3rolHLWffHVmffWM8ev3jS5L3X NOI3nVS606oxcra+qltxXOSno6kml7UrlEJBMgBLTYBs2TZjPObTgXV+/wBA8m/MqlW9dEo5az74 oVBIKlEAAWkmlYbpkQIlyGkqUJaSSnrlab4qO2kHEBw2201Qa0bqeztfDTVBrRup7O18NI+uM+mk E5BRkfosO5YFo0FtNthBGMJBygdS5zrLheO57x/zbYpXasJnM1LDC7YKGJSiw4lq2VfgN7hwJXLY ibzFqChk2uOHKciRsk7wpIavQUhgw1DIBdUP2jqh8pZ39ob3bLKEBSSCLQcopMKoySZgl6BbbcP+ IyLxVu3ixHntpNbmUS1a5KooPp2GnrEq5lZD6qRkDFS+ILEWw4y6PqrTZzjbG/1ah6y5f9p/cVTZ wa6StUqrTGNXtjTq9Ga2r1WPFwG0c1G3FtOodbUUrQQpJGUEZDSrFY4asUsQ82tIikJAfZtxpVt2 bR2DgOIS42pChalQKTwGkVDLg4x6GdFjjLim1cINhpc/mzcqrQ1oyghmJQWFKOQEkFJ8oA5+rdVm TYhYKWJUC4pejrA2AAQLeG0+TqVHg1QNT5e2sELWgum3+YlQ9RFK167ZryleelyrXRE8iV76OpXH WhNPEHqXOdZcLx3PeNK1QSoCtMyYULBo6lp4qjfD1EUqZOG5LWWHiH1XrDgLTqv3QrZ4AbDQKCgC CCDjBGBWvXbNeUrz0uVa6InkSvfRS6vBLXCS+PSk3ra1NLO1fWEe6fL1JNc3TOJPCzBM3DYfRfXg h769NthFt+LcYpqR/wBc9k/XTUj/AK57J+ulVqvaWpUuB6665vnS7f6HeZQBZZadql1fv9A8m/Mq lW9dEo5az746sz76xnj1+8aXJe65pxG86qXWIJSoWXRyU/JbWtpZ4wBHunqVWnLU7kMNEpUC6lAQ 8nZSsDH5co3jgXV+/wBA8m/MqlW9dEo5az74pXyNcgqnxqmiUrdvWrRtKNh9Vo6lR6kyyaSdMymS FRBeUoIaCylKQDZabCCTaDTU+qvuZ7Q78VK21NkMrqtGRkHAaFENBJQvRnFXtq0g4iojIT1LnOsu F47nvH/NclK9z3sTJSw0uyKirW0WZUp+sryYuE4NzKVpbgn5mtI0R1WhtnaSMvlPu9Trlj+M394U 65Y/jN/eFOuWP4zf3hTrlj+M394U65Y/jN/eFOuWP4zf3hTrlj+M394U65Y/jN/eFOuWP4zf3hTr lj+M394UQ4hz5ikq4Db1SabFJjK4KawxYjodD7exaMad8HKDwUrRUiIkwXFwhVEQQxqtHy2xv7Y3 +pUPWXL/ALT+4qmzg12qwKwSy/hwBHQ9qmrcV+NlJO/sb/CaPMuw7y2Xm1NuoN6pCxYQdoijD70M 6l1h1xp1ORbaikjnFNMc83amPpS+mmmOebtTH0pfTTTHPN2pj6UvppVF56JqrL3n3VuurbtUtxRU pWM5SctLo1VnWotc8g0FTDlnXKUj5isl9wHZ3+HqSO6PNJXDoh4ppMcygWJK1FKwNq+x284pF3V4 txkpg5Y0w4RZfuOlyzfsAG/SMjIiYRa4qLdU68s2qUrKaVOqs9WGYocdQpMAyoF5zIFfyjfPqHNR KQhISkAACwADEBSteu2a8pXnpcq10RPIle+jqVx1oTTxB6lznWXC8dz3jSv9VXJxDpmcAgrjGE3r jYyuIy4tsj1jmoQQSCLCMopJ67zqSw6Ydl5t+HRiQ3EJvgkbQIINm9bZTVVnngku82v46aqs88El 3m1/HSTxjkwksFGvBKXH2EOKCRYASATZbsUrXrtmvKV56XKtdETyJXvopNpYxOJZEQESP2bybLdl J2CN8HHScSiLkkwcgoxBC0n5KrPkrTsKG9SrlcplV1KmWQh+FUbSy7bYk7aSMmamq5i7x+1/opqu f0P2v9FKq1i0zyxyN6162vHi1eaJf22JSbbbB+96qXV+/wBA8m/MqlW9dEo5az746sz76xnj1+8a XJe65pxG86qTmVMTuVPwERiS6nEoZUqGMEcBpNpRFySPcg4tspWn5qvqrTsKB2RSVTmYSSJ0eAiF NLOJSbLUrG0QcRom6nPQkAw0vUclpbXaf/umqrPPBJd5tfx0qPWuOrMuOEa1DN9bhBToKVC2+vrb bSdoUur9/oHk35lUq3rolHLWffFK2ytyc1ZjINkWvFIW2NtSTbZz2Wc9FJUhZQtJSpJsIIsIO1SQ 1xmtXmFw8Ipp1hRvg0+kqSk7JFhBHlpqqzzwSXebX8dJtdAm04lj8BEQ8Ell4AKLaFhQsIOK1RGx tdS5zrLheO57x/zU2WWmlb5v2YrDEPIVay0dCasyXoOXnNpwamNoaqlLkpyFsq5ySTno/wBzO8Q5 u1pUUqBSSCMhFIWfTaEI0CYxSAPq6ISnyHFSAukzmGKRFpZi0bNqbxXlGL1UlNf5PMr1t5SoR4/V ePySd5WTy2USoKSCMYNBbZQpCgQQCDlBpXmqyZREiPhEWQT6rFIGRpZ/A7Hk2qVD1ly/7T+4rDnV VJTPhbGQ9j1lgfbN6sc+zz20fuTw6l2w02dbTjxOMhZ8oIpqR/1z2T9dNSP+ueyfrpqR/wBc9k/X SSS0yeTw0BoujaAi90QJvb7GTktNmXbopIUkpUAQRYQaTi5xKJi4p+EUuAdUbSGwFN/d2OYgUiLl M0SoCHmEG4LTaXApHBkBo1cpnBXY7GwKEbaFLUfIUjPSV3LpdCrS5MIp2MUMehpGho4DjJPlFIaG ZhIdDEO0hppAsShCbABwdSbXM+yk1io7svoXXDpcvOtr69tOS2/FtKq1G0szRyN7I9c37JavNAvL LVJNtt8f3fX1JxLjNpREwGi6Fo6Ly/vb6937LRbTUj/rnsn66Vck3YCStS7rjR9DUpWiXl5babcl p29vqTmpcmnjinomHU1EKyvMG9UeHKDwkW0duStFdrM5WhFmRcOFHyhQpqR/1z2T9dNSP+ueyfrp K4LsdKoSC0TROt2UtX97ZfXosts2KTa5n2UmsVHdl9C64dLl51tfXtpyW34tpVWo2lmaORvZHrm/ ZLV5oF5ZapJttvj+76+pNpLL55DdbzCHS6kY0qyKQdsEYxSIuTQ6nLYabOto2nWQs+UFOampH/XP ZP101I/657J+ulVauaWZY7Bdddchbxdv9DvLLUpFllp/d9dK1VJ0zx7ET2Q620JrQ73Qb+3GTbbf DbpL7mBl8zhY0TfROt3kO3nW1l9eqBstv8WTqxNyrrmLef7NXuiLK7OtbbLTbZ8+lUqnGq7sUvr7 rrR0pFmg3l7Zb/MbcvUmcpgZvC9bx8Kl9vKL7Kk7YIxg8FIy5TL3VEwcwiGLcdjiQ4BmPrpqR/1z 2T9dNSP+ueyfrpVKqBqsuLPX3XXXAQP+zeXt7b/MbctK1VJ0zx7ET2Q620JrQ73Qb+3GTbbfDbpL 7mBl8zhY0TfROt3kO3nW1l9eqBstv8WTqT+osrnzyoopXCxavnOtWWL4yTiPDiNNSP8Arnsn66ak f9c9k/XTUj/rnsn66akf9c9k/XSrkm7ASVqXdcaPoalK0S8vLbTbktO3t/5rXCa9iKtRLyFXrzg0 JqzLfK2RwC082FVDWpLfEjOaP9zO8Q5u31crlHSJaGXFKiIK35TKjjSP5TscGTPSWzKFmsGiLhHQ tpXlB2iNg9SawDM0lkTAvWXjqCm3aOweY2GlSGlsVSg2XBYttTqVDaIdWD/rG6bMNEj4WXIPyWUa KvjKxDyAevCqhrTl3iRnNIjuZ3iHN9AqxWSIq9MQ4CpcK4bHmrco2xvj/ikNEtRkM3EMLDjTiQpK hsg9SXw/W8OpFllrzq7OM4pX4/6xrHGmY1ijoq21KnSlJ/lT8keoDCqhrTl3iRnNIjuZ3iHNg1Pq wxWUxgeiXGet9DsvEg2319t8WmpbBbExiPuppqWwW6MR9xNNS2C3RiPuJpqWwW6MR9xNNS2C3RiP uJpFXLXQgmEmSVK2EutXo8oJzUm0hmMkdCI2HKEnElxONCuA/hlwbnFYC0+ZNEL/AGblq4ck5FZS nny8Nu3TFh1kns3h6zzJpmbRzbSIhaUoRELCUi3IADippjnm7Ux9KX000xzzdqY+lL6aaY55u1Mf Sl9NNMc83amPpS+mmmOebtTH0pfTTTHPN2pj6Uvpppjnm7Ux9KX000xzzdqY+lL6aaY55u1MfSl9 NNMc83amPpS+mmmOebtTH0pfTRiuVYocgom0QfGEL962kFdPnkOQIluGik7JUi8V5U4vVSW3UZTE kIjmHoNRyqH7RA5xj9VIKZQcyY0aCimn29ktqBs4drtERWKeJiXQJzMAAsgARS9vhppjnm7Ux9KX 000xzzdqY+lL6aaY55u1MfSl9NLm0ZFR9XYh2MiXohwRakhTzhWQLxGK07GM+X6PEViniYl0CczA ALIAEUvb4aaY55u1MfSl9NNMc83amPpS+mmmOebtTH0pfTS5tGRUfV2IdjIl6IcEWpIU84VkC8Ri tOxjPlwLosXEwNWkvQkS9Du9cITfsrKDZYrFaKaY55u1MfSl9NNMc83amPpS+mmmOebtTH0pfTSA rBOlzGFQubzBSS8gEGJWQRfDf+lVkns3h6zzJpmbRzbSIhaUoRELCUi3IADippjnm7Ux9KX000xz zdqY+lL6aaY55u1MfSl9NLmMxj4+JmQjI6JiQhDZSHnVLvbSq2y04u3TqL6wksbFpNimmVqTw2Yv XZh1Q1py7xIzmkR3M7xDmwblOWbfY/npsYUXCMR0M5DxLKXWlixSFC0GlbKtOVemICL5cE9aWVnK NtJ3x6xz4DD7kNENvsqvXG1BSVbRBtBpJ5k1NpRDR6LAHUAkD6qshHMbRh1r12TXlS8/b4KPi5dE JiIOIcYdT9ZtVh4DtjepVi6Q3FLRBzu8ZdOJMSMSFH+YfV4cnBQEEWg2g4UR3U9xznwLlWteJ5ar 3EfR4jup7jnPgXKta8Ty1XuIwLqGtNHKkZlYEt76QnjkZx9KrXrsmvKl58C5J3VNeI3nV266FFBi qb7dthfcQ2PLfZknDqhrTl3iRnNIjuZ3iHNg3Kcs2+x/PTYw6xSdE7kz8IoDRCL5pR+qsZD+HATR aFNOKbWkpWklKgcoI2MC5hMr9mMli1Y0EPNjeOJXrs8uHWvXZNeVLz/Qaj12VLnG5XM3CqDUb1p5 R/7J2if3c3BQEEYsmDEd1Pcc58C5VrXieWq9xH0eI7qe45z4FyrWvE8tV7iMC6hrTRypGZWBLe+k J45GcfSq167JrypefAuSd1TXiN51duupPXsugGLfnvKXZwJs/Nh1Q1py7xIzmkR3M7xDmwblOWbf Y/npsYZyUr5ACArTEFIsbiAHxwnEfWD5cCpUd1jWuCUTYh1RZVv3wsHrsw6167Jrypef6Fc4rSY2 H7DRa7X2U2sLJ+egfV4Rm4MGI7qe45z4FyrWvE8tV7iPo8R3U9xznwLlWteJ5ar3EYF1DWmjlSMy sCW99ITxyM4+lVr12TXlS8+Bck7qmvEbzq7ddTcti5a3j+ShxXlKejDqhrTl3iRnNIjuZ3iHNg3K cs2+x/PTYw7cdLqUINCl0WBkUttR4bCMxwId5UNEtPo+c0sLHCDbRDiXG0uJNqVAEHeOFWvXZNeV Lz4Nz3WRL/tf7q8JyHZdt0RltduW+SDbSa1HkU1Qq2CRDOnI7DC8I5hiPOKVmqdH1cXohPXEEo2J fQmyzeUNg+o4MFGPQEczGQ6715lYWg74/CkomTM3lMLHs/MeQFWW/NOQjmNo/wAnuoa00cqRmVgS 3vpCeORnH0qteuya8qXnwLkndU14jedXbrqBPZyDFpsEPbZ/7HDqhrTl3iRnNIjuZ3iHNg3Kcs2+ x/PTY7RdLaDlWULxfs4hKvUR+ODIXS/V+XOk2lcM2Tw3owq167JrypefBue6yJf9r/dX2iIh2YuH ch4htLjLiSlaFC0EGlbauLq3NywLVQrtq2FnZG0d8dG3g3LJwUPRModUb1Y0Zm3YIxKHksPMcBVe KtpUUqmjYINhF4vopp5q1uq39xfRTTzVrdVv7i+imnmrW6rf3F9FJZNYKbwyn5fEB9pKygqAIsIA NmMbRHaIydSyXkiMmEMwR9VboCvJlo5X6rLar1U0STtpZcUPKE01Qar7p+zu/DTVBqvun7O78NNU Gq+6fs7vw01Qar7p+zu/DTVBqvun7O78NNUGq+6fs7vw01Qar7p+zu/DTVBqvun7O78NNUGq+6fs 7vw0br7Vp51DTcyvlrUEpGgOYycn1cBVeKtpUUqmjYINhF4vopp5q1uq39xfRTTzVrdVv7i+imnm rW6rf3F9FJZNYKbwyn5fEB9pKygqAIsIANmMbRFHXUNNLcWbEISVKNmQDLTVBqvun7O78NNUGq+6 fs7vw0r1WuSzmr6YWXxujPB9K73QlpxAG02qAGzgQLiGY+HdWbEIdSpR2gCLaaoNV90/Z3fhpqg1 X3T9nd+GmqDVfdP2d34aaoNV90/Z3fhpCxLUXCsxTC79p5AcQqwi1JFoNhx5D1JjMIWVQS42Nd0K Hbsv13pVZaQBiAJykU1Qar7p+zu/DTVBqvun7O78NNUGq+6fs7vw01Qar7p+zu/DTVBqvun7O78N NUGq+6fs7vw01Qar7p+zu/DTVBqvun7O78NNUGq+6fs7vw0arxVt0C9mzQt/eQpOcUhZ1K41QTCz GFeUfqoeST5Lbe0Vr12TXlS8+Bck7qmvEbzq7ddQ7+wnJ/zHDqhrTl3iRnNIjuZ3iHNg3Kcs2+x/ PTYwzS6EBpPit5bfvDBqmu/qtLTZZ/06R5MWFWvXZNeVLz4Nz3WRL/tf7q+013konNW3koQDEQ4L zJsx2jKOcW89mDJJiqUTuDj0k/sXQpVmynIoc4JFEqStIUkgpItBGyOrEd1Pcc58C5VrXieWq9xG FWOu8skBUwCqKjR/gNnEnjK2ODGd6k3rtPJupSVRaodg5GYc3gs3zlPOaEkm09rlvfSE8cjOMCI7 qe45z4FyrWvE8tV7iKTLvZF+JX7p7ZVvWxKeRM+4OpdC1kTD7L+6jtkqrXOpMpPWsc4Wh/hOm/Qe Y5OaylW7oUBN1ohY5KYKLOJNp/ZrO8dg7x8pwq167JrypefAuSd1TXiN51dtOSl1FAE1gFWYyyRb wH/nDqhrTl3iRnNIjuZ3iHNg3Kcs2+x/PTY7RdBIFUIkE5VtgfeGDVVIRVaWAYrYdB8otwq167Jr ypefBue6yJf9r/dX2qssuEqrJHwaRYhDpKBtJV8pPqIwalxxmFU5e6o2rQ3oSuFJvcwB5+rEd1Pc c58C5VrXieWq9xGDXWvhhluSuTOjRRal+JSfmnZSk7e2djYx5CSpRJJJOMk7PbZb30hPHIzjAiO6 nuOc+Bcq1rxPLVe4iky72RfiV+6e2Vb1sSnkTPuDqXQtZEw+y/uo7dUKujmityaZulSVWJhnlnGD +4o5jzbVmBWvXZNeVLz4FyTuqa8RvOrtppdUa+VLHR/5Un/5I/HDqhrTl3iRnNIjuZ3iHNg3Kcs2 +x/PTY7RdMf0OrbTYyuxCQRvAE/hgyZkw0jgGDlbh20G3eSBhVr12TXlS8+Dc91kS/7X+6vtV1OD DNYIWKSLA+xYd9SSfwIwblUVokkjYUm0svhY3gpI/FJ6sR3U9xznwLlWteJ5ar3EYFf619iIbsbB OWRr6flrScbSDmJ2NrLtdvlvfSE8cjOMCI7qe45z4FyrWvE8tV7iKTLvZF+JX7p7ZVvWxKeRM+4O pdC1kTD7L+6jtwJBtBsIpUesBn0hSXl2xcMQ29tq/dVzj1g4Fa9dk15UvPgXJO6prxG86u3XTmNE kEM8BjbiBbwFJ/GzDqhrTl3iRnNIjuZ3iHNg3Kcs2+x/PTY7RdRjQqJl8Ck40JU6ocOIZlYEDDGM mENDDK86lvykD8aABIAAAAyAYVa9dk15UvPg3PdZEv8Atf7q+1XWWL6BlsRZ8x1aLeMAfy4NyZ69 mEyYt+e0hdnFJH5urEd1Pcc58C5VrXieWq9xHVm0xZk8qiY98/s2UW2fvHIBzmwUj45+ZzB+NiVX zzyypR/AbwyYMHBxMdEoh4VlbzqzYlCBaaS25XGPISuYxrcPbj0NpN+rnNoA5raIuVScD9pGxyuK pA/KaalUi8KmPnEfBTUqkXhUx84j4KalUi8KmPnEfBSuUihauztMFCOPLbLKXLXSCq0k7QG1gS3v pCeORnGBEd1Pcc58C5VrXieWq9xFFJS4gpWkKSoWEEWgimlyR7jS70VHRTS5I9xpd6KjopdFlEsg aspdhJdCQ7vXCE37LCUKssVitAwJelK5jCoWkKSXkAgi0EXwppcke40u9FR0U0uSPcaXeio6KaXJ HuNLvRUdFNLkj3Gl3oqOijLKGW0NNIShtCQlKUiwJAyADYHUmMvhZrBLgo1rRYdyy/RfFNthBGME HKBTU+qvuZ7Q78VNT6q+5ntDvxU1Pqr7me0O/FTU+qvuZ7Q78VNT6q+5ntDvxU1Pqr7me0O/FTU+ qvuZ7Q78VDc9qwQQJaU74fc+Kj1zSrrqbENRDJ20PEn/AOraVmufRUlYXGQTpi4NGNYKbFtjbIGU b48mDc2mJg60phiqxuLbLZGxfAXyT6iOfArXrsmvKl58C5J3VNeI3nV26u0L13VKPSB8ptAdG9ek E+oHDqhrTl3iRnNIjuZ3iHNg3Kcs2+x/PTYw1HFStMzE2rFFxKFWtBWhtkYxepxA8+XnwKhQPXta odRFqGEqdVzCwesjDrXrsmvKl58G57rIl/2v91farqibaswyrLSIxIt2gUL/AOMG5Wqys8SkmwKg 1Yts36P+erEd1Pcc58C5VrXieWq9xHVuqTcjrOUNqxEaO6B5Ej3j5MGEhHo2MZhYdBW66sIQkbJN Ks1ZhauS8NNhK4pYBffsxqO0NoDYGFdQ12I5KjOrAlvfSE8cjOMCI7qe45z4FyrWvE8tV7iMC6hr TRypGZWBLe+kJ45GcfQSARYRaDSvFX0yCenQE3sJEguMjYT+8nmPqIwJDEmErDLn7fmRLZPBfC31 YFa9dk15UvPgXJO6prxG86u3RUOiKhnYdz5jqFIVwEWUeZXDvuMuCxbailQ2iDYcKqGtOXeJGc0i O5neIc2Dcpyzb7H8+HbSvNYUyiVKhGF/9bFJISAcaE7KvwH/ABg3NZX1vKXpitNiopdiOIm0es2+ QYda9dk15UvPg3PdZEv+1/ur7VdRUBVRsE5YpAH3VYNy5JNa3CBkhVk/eT1Yjup7jnPgXKta8Ty1 XuI6tcI8zGtkxfttSl0tJ4E/J/C3nwblslStyJnLyLbw6CxbsGz5R8hA5zh3UNdiOSozqwJb30hP HIzjAiO6nuOc+Bcq1rxPLVe4jAuoa00cqRmVgS3vpCeORnH0K6yhJl8tXZ8oOrAO8QLcwwEKKFpU nKkgiiSFJCgbQRaD1a167JrypefAuSd1TXiN51dvrxAdYVqir0WIfseT/wC2X1hWFVDWnLvEjOaR HczvEObBuZRkLBmadcxLLN9oN7oiwm2y/tst4aJm8tWbEx8Ko7QeSfxp2QgvDGPODpp2QgvDGPOD pp2QgvDGPODpp2QgvDGPODpo7N5awm+emEKgbanUj8aTu6JL4Jtbctsi4jIFWENpO2Ts83lpGRsR MItyKinVOuuG1Sj/AP7EMCVS92azSHgWQb91YBNnzRsnmFppCQzMFCNQrKb1ppAQlO8MOteuya8q XnwbnusiX/a/3V9qurOAVeg2tlUWFeRCunBuUtk1hjHMdiYQpyba09HViO6nuOc+Bcq1rxPLVe4j qPOBhlx1XzUJKjwAUcWp11bizapRKidsnBqfBCX1TlrQFhU0HVcK/lfjZh3VEgVphyBlg0E/fXgS 3vpCeORnGBEd1Pcc58C5VrXieWq9xGBdQ1po5UjMrAlvfSE8cjOO0OOIZbU44tKEJFqlKNgA3zSb 3S5RAqU3BJdjnBitQbxFvGOXmBFHrq01Uu1iBgkJ2lhSj5QoU1VZ54JLvNr+OmqrPPBJd5tfx01V Z54JLvNr+OmqrPPBJd5tfx01VZ54JLvNr+OmqrPPBJd5tfx01VZ54JLvNr+OlYK3zCsjDLMazDIS yoqSWUqBJIsx2qODDdzM8RObq1r12TXlS8+Bck7qmvEbzq7fdOlhegIWYoTjYUW1kfuqyHmI/wDr CqhrTl3iRnNIjuZ3iHN9Buf1cVLYIzGJRZExKRoaTlQ30nL5N+lmWjbqHFuJSbS2q9VvGwHMRhVr 12TXlS8+Dc91kS/7X+6vtV1qJF9K4UHGA44ofdA/HBuSw9ippEEZA2gH7xP4dWI7qe45z4FyrWvE 8tV7iOpOFFEkj1JyiGcI+6cKFaDEIyyBYG0BNnALMO6rrohuRJ99eBLe+kJ45GcYER3U9xznwLlW teJ5ar3EYF1DWmjlSMysCW99ITxyM4w42Oh5dAuxkU4G2Wk3ylHNw7FK01wjaxvlFqmYFJ/Zw4OX fVtn1D19vhu5meInN1a167JrypefAuSd1TXiN51dvmsC3M5XEwTvzXmym2zIdg8xsNIhhyFiXWHk 3rjSyhQ2iDYcGqGtOXeJGc0iO5neIc30CpVTVRTiJnMmimHSb5llQxuHYUR+7tbfBlxZKOOIabU4 tQShIJUTsAbNKmR5mcBGxhtsdjHFJt2E2CweSym3g1r12TXlS8+Dc91kS/7X+6vtV0WPEbW55tJt TCtpZFm384+tRHNg3MYMw9VS+RjiX1LB/lFic4PViO6nuOc+Bcq1rxPLVe4jqTFvRpZFtWW37K02 cIOE04l1pDifmrSFDgOHdV10Q3Ik++vAlvfSE8cjOMCI7qe45z4FyrWvE8tV7iMC6hrTRypGZWBL e+kJ45GcYd0asKo+bGVsL/6WEVYuw4lubPkycNv0CG7mZ4ic3VrXrsmvKl58C5J3VNeI3nV2/FS6 PJTDTJuatJ/ZRNiHLNhYGLyjMcGpjgcqlLlDYbKfISPwpEdyu8Q5u3Syr01m5T1pBOKQf8RQvUDn OKlXbn8JLlIiZgpMVEjGEWfs0Hg2Tw+SgpbkpdDrAmDgOxUOv/qIgftLPqN/85OC2lzTWwvlCswp s4Na9dk15UvPg3PdZEv+1/ur7TMo1qWy2IjHj+zYbKzv2bHPkpFRLkZFvRLxtdeWXFnbJNpwACTY BaTSRwHYyRwUDYAWWUpVZ+9Zj9dvViO6nuOc+Bcq1rxPLVe4jqzKFMDNIuEIsLDy2/IojBqfHiZV Vl7wNq0tBpfGR8k28NlvPh3VddENyJPvrwJb30hPHIzjAiO6nuOc+Bcq1rxPLVe4jAuoa00cqRmV gS3vpCeORnGFOY8SyTRkcbLWGVLSDsqsxDy2UWtTjilrUVLUSVE5STs4DLLsQ8hlltbjqzYlCBaS doCkuuXzaKaDkY+zB2jEg/LWOGzF66C5GbBbOwDs2Qv66akf9c9k/XTUj/rnsn66akf9c9k/XTUj /rnsn66VsqXpXhYZ/sh1zoyyizQbyywW2/OODDdzM8RObq1r12TXlS8+Bck7qmvEbzq7fixUm0sY m8sfgn/mOpsCrMaTsEcBpHQT8vjnoSITeutKvVD8RvHLgXNY9MRV1cKSL6FdIs2kq+UPXfeSikha Ck5CLDTU+q54I555fTTU+q54I555fTTU+q54I555fTTU+q54I555fTTU+q54I555fTTU+q54I555 fTTU+q54I555fTTU+q54I555fTTU+q54I555fTTU+q54I555fTTU+q54I555fTRqolXGiCJcFHbU 6s+q2ykNIZRCKCmJbCtqGRQaFvly0sG11CbKVorVC1eh70KS7GrH7Nm3J/MraGf1iKin46KdiYhw uOuqvlKOzS5prYXyhWYU2cGteuya8qXnwbnusiX/AGv91fabpVZEurTJIVwFKCFxJCsVoyI5sp37 NrBqPKTNq0wqVJtZYOjubVicg5zZgRHdT3HOfAuVa14nlqvcR1bo0tMDWtx8CxuLQl1O1bkUPKLe fBuaVgTATBcoiF3rMUq+aJOJLmSz/wBhZzgbeHdV10Q3Ik++vAlvfSE8cjOMCI7qe45z4FyrWvE8 tV7iMC6hrTRypGZWBALS3MYZajYlLqSTtC0YV0d4tVNiUg/91xtBx7F8D+GDcxkjLUtXN3EhT7qy 20SPmJGI2b5Nvkw7rHeyX+OVmwYbuZniJzdWteuya8qXnwLkndU14jedX0GvVV+ykL2Qg2/+tZT8 pIGN1G1wjY8m1gVWnyqvzZMQpKlsOC8eQMpTtjfHTt0go2HmEMiIhXUvNLFqVJOL/g71MdMdMdMd MdMdMdMdMdMdMdMfVmVYZVKwoRcay2tP+HfXy/ujHSd3SnXUqYk7RZGTR3QCrmTkHCbeCjrzkQ6p 15xTjizapSjaSd89S5prYXyhWYU2cGteuya8qXnwbnusiX/a/wB1eHERDEK0Xoh5tlsZVuKCQOc0 rPdIZbaXCSNWiOkWKiiLEp4oOU7+ThopSlrK1qKlKNpJNpJ28G5xIzLJEY15F7ERpCxaMYbHzRz4 zzjAiO6nuOc+Bcq1rxPLVe4jq3RpMZjV7rtpN8/BEuYspQfnDMebBBKSCCQRjBFKo3QmX2m4Cduh t9PyURSvmr4x2Dv5DnQtK0BaFBSSLQQbQcG6rrohuRJ99eBLe+kJ45GcYER3U9xznwLlWteJ5ar3 EYF0xu/qgtWP5D6FZx+ODU+ftz2RsulQMU0kNvp2QobPAcvl2sG6Y2V1RKhb8iIQo4uEfjg3M5k1 E1b6xCgHoRxVqdm9USoHykjmw7rHeyX+OVmwYbuZniJzdWteuya8qXnwLkndU14jedX0KvFTy2py by5u1BtVEMpHzdtQG1t+Xg6sBNY+WOFcFFusE5bxWI8IyHnpp8rLun/sN/DTT5WXdP8A2G/hpp8r Lun/ALDfw00+Vl3T/wBhv4aafKy7p/7Dfw00+Vl3T/2G/hpp8rLun/sN/DTT5WXdP/Yb+Gmnysu6 f+w38NNPlZd0/wDYb+Gmnysu6f8AsN/DTT5WXdP/AGG/ho5XasTnzpmvJZ8ltCcwpEzyaxgIiJjF OJOVJdN75MmDc01sL5QrMKbODWvXZNeVLz4QJSQQSCMYIp1y/wDxnPvGiI2LbBvIp5NuWxwinZGO 8NiPOq6aCdTUCwTOMAH/AJ19NOzc23TjfSF9NH4l+JXfvvuOq23FlR9eFU6rqqwztDbiT1mxYuIV vbCeE5rdqiUpQkJSAABYANjAiO6nuOc+Bcq1rxPLVe4jqqQlxBQtIUlQsIOQilb6vLq9O3GUpPWj tq4dR2U/u8IyeTbwpbWCbyjFAx7zKRjvAbU/dNo9VGrplYUJsUYVw7a2cfqIpqqzzwSXebX8dNVW eeCS7za/jpqqzzwSXebX8dKwVgi6xx6IyMbZQ4hoNAMpIFgJOyTj+UcCW99ITxyM4wIjup7jnPgX Kta8Ty1XuIwK6wpjKnzNsC0pa0Qf+pCvwwZVNo2TRqYuAfLToxHZChtEbIpLbqkMttKJnBONuZCu HsUk79hII8po3dFq0uy+jloxW/KYX+ANG6+1aedQ03Mr5a1BKRoDmMnJ9XqVsgDMaqzGGQLV6Ffp G2Um+A9VmDLZlFymNRGQTymnkZCMhG0RsikBdXb0ECYS5eiAY1Q6gQo8ByeU01VJH4JMfNo+Omqp I/BJj5tHx01VJH4JMfNo+OmqpI/BJj5tHx01VJH4JMfNo+Old64S+ssHCswbMS2plwqUXkpAIIsx WKODDdzM8RObq1r12TXlS8+Bck7qmvEbzq+h1qqEH1Lj5OkJdPynIcYgrbKdo71HG1suKbcQpC0m xSVCwg7RH0W5prYXyhWYU2cGteuya8qXn+gyuWRc4mDUFBtFbzh5kjZJOwBSr0khqvSpuCYF8v5z rllhcXsnoG1gxHdT3HOfAuVa14nlqvcRgVjkMPWKVLhHrEuD5TLtmNCtvg2CKTGXRUqjnYOMaLbz ZsIOzvjbB2+3S3vpCeORnGBEd1Pcc58C5VrXieWq9xGA40h1pbbiQpC0lKknZByik9lLsknMTAOg /s1fIUfrIPzT5MOW99ITxyM46tc6vrkE9dShBEI+S4wbMVhyp5ji4LPoEN3MzxE5urWvXZNeVLz4 FyTuqa8RvOr6HsZaT2qsunzZU+3oURZYl9vErn2xw+qk6qVNpOVLDJioYY9FZFtg305Rm36bP0O5 prYXyhWYU2cGteuya8qXn+gSKrUyrA+EQjJDQNi31ixCOfZO8MdKuVZgauQehQyb95YGivqHyln8 BvYUR3U9xznwLlWteJ5ar3EYNZ6qQdZYWxYDUWgfsogDGN47YpN5LHSOLMPHMFCvqrGNCxtpOz22 W99ITxyM4wIjup7jnPgXKta8Ty1XuIwa4VUbrHAhTNiI9kHQlnIofune2to89IqFfgopyGiWlNPN m9WhQsIOFLe+kJ45GcdWeyKErBLVQkWCPrNuD5zatsdFJ5IY6r8eqFjW7LbS24n5rg2wfw2O3w3c zPETm6ta9dk15UvPgXJO6prxG86vouxSZ1Xk83KlRUGgun/FQL1XlGXntpG3LWlAqgJitO0h9Fvr FmakTc6rAwf2bTEQP/G6B71lHapz5k2KlUQeKm+zUXVydostlMbj2mFHMKdgJzuRH+jL6KdgJzuR H+jL6KdgJzuRH+jL6KdgJzuRH+jL6KdhppubGeYV0U7DTTc2M8wrop2Gmm5sZ5hXRTsNNNzYzzCu ii5XMGzYuAik27bKh+FOx0d4HEeaV0U7HR3gcR5pXRTsdHeBxHmldFDL40AkwkQAMZJbV0U63f8A 4Ln3TS5uhSKtLStJSeuFYiLNgUIwaySKbxFZpk6zKY5xpcQtSVoh1lKhblBAx00uTzcWY+ir6KaX J5uLMfRV9FNLk83FmPoq+imlyebizH0VfRTS5PNxZj6Kvoppcnm4sx9FX0U0uTzcWY+ir6KaXJ5u LMfRV9FNLk83FmPoq+imlyebizH0VfRTS5PNxZj6KvooKtz23vLMfRV9FGamVjfNiJTEDjgI94ik Hcyn8QQYgw0KnZv3L4+RNo9dJVcxlMEpLkc65GuDHen5CPIMZ8tGGWoZlLLDSGmkixKEJAAG8Bhx FXZ4qJdIk0wIKyQRCr2+CmlyebizH0VfRTS5PNxZj6Kvoppcnm4sx9FX0UubQcVAVdiGoyGeh3DF qUEvNlBIvEY7DsYj5MKOl0JMoZUNGMIeZVlSsW842jv0m1yxlxSnJRGaFbjDMRaU8yhjA4QaRdQ6 xwZNsuU6nYUyoLt5gbfVTS3PQbOwsxxf/ir6KaXJ5uLMfRV9FNLk83FmPoq+imlyebizH0VfRTS5 PNxZj6Kvoppcnm4sx9FX0UioOKgXdCi4Z6Hcsvrx1BQqzbsOBLe+kJ45GcYERV2eKiXSJNMCCskE Qq9vgppcnm4sx9FX0U0uTzcWY+ir6KaXJ5uLMfRV9FLm0HFQFXYhqMhnodwxalBLzZQSLxGOw7GI +TCn1VpbWJmyLaKX0ixD7eJad7fG8aTO5nOoRRVBFqOa2L1QQuzfBxeQmjlWJ80u9VJo8n+WHUoe UCmlyebizH0VfRTS5PNxZj6Kvoppcnm4sx9FX0UgKvzpExhVrlEwSkPIJJhlgAXw3sCYS2DmsKqF jYdD7KvqqGQ7YOUHfFJvcscClOSiLSpBxhmIxEcChl5wOGkVUysUIohyUxCrNloBwf8AzbTS5PNx Zj6Kvoppcnm4sx9FX0U0uTzcWY+ir6KaXJ5uLMfRV9FNLk83FmPoq+imlyebizH0VfRTS5PNxZj6 Kvoppcnm4sx9FX0U0uTzcWY+ir6KaXJ5uLMfRV9FNLk83FmPoq+imlyebizH0VfRSHBEM0CCCEAE Hg6tZJFN4is0ydZlMc40uIWpK0Q6ylQtyggY6aXJ5uLMfRV9FNLk83FmPoq+imlyebizH0VfRS5j Lo+AiJkYyBiYYLQ2El5pSL6wqtstGP6OMdD1LKYqYqYqYqWDepYN6lg3qWDepZvUs3qWDapYNqlg 3qWDeokAZP8AMLpy0rrbYlQJRDoSobRtJzEYEia0asEtasBv4poY8mNQ/wD0NWSskHVyBLz6kqiF D9iwD8pZ294bZpHRr8wjXoyJWVvPKKlHf6MCokIYuuUvFlqW1F1R2r1JI9dn+vK7VljatQcK9BtM OKecKFB5KiAALcVhFNVWeeCS7za/jpqqzzwSXebX8dNVWeeCS7za/jpqqzzwSXebX8dNVWeeCS7z a/jpqqzzwSXebX8dNVWeeCS7za/jpqqzzwSXebX8dH7pVYnmylDkMyT9ZtnH/wDRNIqLiI2IXERT 7jzy/nLcUSTg3LJOpDUVOHU2aINBZt2QDao+UAcx/wBeXWO9kv8AHKzduq5IIisM1RCMgpaHynnb MSE9O0KQUIzAQbMJDICGWUBCE7w/15dY72S/xys3bavVZmFYorQ4Vu9ZSf2j6x8lHSd6kikcJV+X Jg4NJsyrcV85xW2f9e3QpJMp5AQTUthtGW26VLF+lNgs/mIpqfVo3L9oa+Kmp9Wjcv2hr4qan1aN y/aGvipqfVo3L9oa+Kmp9Wjcv2hr4qan1aNy/aGvipqfVo3L9oa+Kmp9Wjcv2hr4qan1aNy/aGvi oi57WdSrDLQnfL7f4KpC3Lp48Ro70IwnZtWVHyAWeuksuXyuEWHI992NUPqWaGjyA2ny0h4dmEYS xDtIaaQLEoQkAAcA/wD5tf/+AAMA/9k= ------=_NextPart_01D6754B.1863A9B0 Content-Location: file:///C:/5153E14F/04_Articulo_Final_Mancheno,Maldonado,Bermeo,Verdugo_archivos/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01D6754B.1863A9B0--