VICTORUBIO .(Estudiante) Isaias Antonio Quintanilla Bastidas312022-09-14T02:38:00Z2022-09-14T02:38:00Z2022-09-14T02:39:00Z21491827050225633190516Software architecture for the Catolica de Cuenca University. Arquitectura de software para la Universidad Católica de Cuenca. Autores:Rubio Cedillo, Víctor ManuelUNIVERSIDAD CATÓLICA DE CUENCAEstudiante de maestría en tecnologías de la informacióniVBORw0KGgoAAAANSUhEUgAAAEkAAABGCAMAAAC3+0k7AAAAAXNSR0IArs4c6QAAAARnQU1BAACx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Cuenca – Ecuador vrubioc@ucacue.edu.eciVBORw0KGgoAAAANSUhEUgAAACwAAAAsCAYAAAAehFoBAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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https://orcid.org/0000-0001-9268-8276Zhindón Mora, Martín GeovannyUNIVERSIDAD CATÓLICA DE CUENCADocente en la maestría en tecnologías de la informaciónCuenca – Ecuador mgzhindonm@ucacue.edu.echttps://orcid.org/0000-0003-4475-830XCampana Ortega, Eduardo MauricioUNIVERSIDAD CATÓLICA DE CUENCADocente en la maestría en tecnologías de la informacióniVBORw0KGgoAAAANSUhEUgAAACgAAAAmCAYAAAC29NkdAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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Cuenca – EcuadoriVBORw0KGgoAAAANSUhEUgAAACUAAAAlCAYAAADFniADAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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eduardo.campana@ucacue.edu.echttps://orcid.org/0000-0001-7720-5213Citación/como citar este artículo: Rubio, V., Zhindón, M. y Campana, E. (2022). Arquitectura de software para la Universidad Católica de Cuenca. MQRInvestigar, 6(3), 1597-1617. https://doi.org/10.56048/MQR20225.6.3.2022.1597-1617Fechas de recepción: 29-AGO-2022 aceptación: 13-SEP-2022 publicación: 15-SEP-2022iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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https://orcid.org/0000-0002-8695-5005http://mqrinvestigar.com/ResumenEste artículo, pretende determinar una arquitectura de software para la Universidad Católica de Cuenca, por medio de la adopción de estándares, políticas, convenciones, buenas prácticas y metodologías estandarizadas, con la finalidad de aminorar la curva de aprendizaje y mejorar la adaptabilidad al ecosistema de desarrollo de nuevos colaboradores, estos pueden ser externos así como internos, realizando los entregables solicitados por las diferentes áreas de la comunidad universitaria en un menor tiempo, con mayor calidad, eficacia y eficiencia de una forma organizada. El modelo de desarrollo de software permitirá la expansión organizada de los diversos proyectos que conforman el ecosistema informático institucional, sabiendo que este está en constante crecimiento con el objetivo de satisfacer las diferentes necesidades operativas que surgen con el crecimiento de la institución. Palabras clave: Arquitectura de Software, modelado, diseño de software, desarrollo de software. AbstractThis article aims to determine a software architecture for the Catolica de Cuenca Universit, through the adoption of standards, policies, conventions, good practices and standardized methodologies, in order to reduce the learning curve and improve the adaptability to the ecosystem of development of new collaborators, these can be external as well as internal, carrying out the deliverables requested by the different areas of the university community in less time, with greater quality, effectiveness and efficiency in an organized manner. The software development model will allow the organized expansion of the various projects that make up the institutional computing ecosystem, knowing that it is constantly growing in order to satisfy the different operational needs that arise with the growth of the institution.Keywords: Software architecture, modeling, software design, software development.IntroducciónPosterior al nacimiento del software, y con la evolución del mismo, para una correcta maniobrabilidad de este, un crecimiento adecuado y mantenibilidad en el tiempo, se concibe la arquitectura del software, la cual da los lineamientos propicios para tener un producto de software de calidad y escalable, haciendo que este sea fácil y entendible de manejar, lo que además ayuda reducir costos tanto de desarrollo como de mantenimiento. No existe un consenso en cuanto al concepto de arquitectura de software, esto se debe a que la misma es cambiante en el tiempo, por lo que su definición no sería la misma después de un tiempo, esto obedece al constante crecimiento de la ingeniería del software. Hay que tener en cuenta que esta última es relativamente nueva con respecto a las otras ingenierías, las cuales se consideran ciencias “estáticas” (Richards & Ford, 2020).Se considera que entre más avanza la ingeniería de software, el área de la arquitectura sigue siendo relativamente inmadura, por el tiempo de estudio y aplicación de la misma con respecto a la ciencia como tal(Garlan, 2014).Últimamente la arquitectura de software se ha convertido en un factor importante debido a los buenos resultados obtenidos de una correcta implementación de la misma, ayudando a diversos factores como la seguridad, fiabilidad de la información, robustez de la aplicación, entre otros. Si bien una buena implementación de la arquitectura de software da excelentes resultados, una mala aplicación de la misa conlleva a resultados desastrosos y costos, ya que afecta directamente al desempeño, mantenibilidad, disponibilidad y demás factores que empobrecen el sistema.La arquitectura de software es un eje fundamental para el desarrollo de aplicaciones empresariales, y por ende para la Universidad Católica de Cuenca (UCACUE), que cuenta con un software, el ERP University, el cual es usado para la gestión y control de la institución, este está en constante expansión debido al crecimiento institucional y al cambio continuo del régimen académico en el país, por tal motivo es necesario que el ERP evolucione en su arquitectura de tal manera que el desarrollo de las nuevas necesidades o adecuaciones se realicen de una manera efectiva y eficaz.Este documento consta de cuatro partes, la primera es un breve estudio a la arquitectura de software (Análisis general), la segunda trata del diagnóstico a la arquitectura de software presente en el ya mencionado ecosistema que comprende el ERP University, en la tercera parte se emite una propuesta para la arquitectura, concluyendo con la parte cuatro, las conclusiones obtenidas.Material y métodosAl igual que en el desarrollo del software en la arquitectura de software existen las buenas y malas prácticas, si no se aplica adecuadamente o peor aún si se carece de la arquitectura de software en un proyecto, se puede generar un verdadero caos. a estas malas prácticas se las conoce como “smelly”, pero ¿que comprende la arquitectura de software?, es muy usual la confusión entre arquitectura y diseño de software, por lo que es necesario establecer una diferencia entre las dos. Como ya se mencionó anteriormente enmarcar la arquitectura de software en un concepto o definición es complejo por la continua evolución que esta sufre, pero basados en la teoría y experiencia se intenta establecer un concepto cercano a lo que puede referirse esté termino.Arquitectura de software: comprende el esqueleto del proyecto, al más alto nivel de abstracción del negocio; determina también el almacenamiento de datos, como se interrelacionan los componentes, las capas o niveles que va a poseer, de igual manera las restricciones pertinentes, se trata de aquellas decisiones clave que, de llegar a cambiarse más adelante, generan un costo (Garlan, 2014; Jaiswal, n.d.; Oyedeji et al., n.d.; Richards & Ford, 2020; Wang et al., 2005; Yong, 2021). Toda decisión acerca de la arquitectura de software se basa en las compensaciones que esta pueda retribuir al proyecto, siendo siempre más importante el por qué, más que el cómo.Diseño de Software: corresponde al diseño de los componentes, módulos o clases, se pueden cambiar más adelante para dar salida y atención a necesidades operativas o comerciales (Jaiswal, n.d.; Le et al., 2018; Richards & Ford, 2020; Yong, 2021) Para un mejor entendimiento de la diferencia entre estos dos términos, arquitectura y diseño de software, si hablamos de duplicidad de interfaces o clases, enlaces rotos o sin funcionamiento, esto obedece a un problema provocado por un diseño erróneo de software, mientras que si existen componentes cuya abstracción no es la adecuada, conectores mal definidos, entre otros, esto es provocado por una arquitectura de software errónea (Richards & Ford, 2020). Figura 1La arquitectura de software como puente hacia el producto final(Garlan, 2014)/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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Requerimientos /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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Código /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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Arquitectura de softwareFuente: Elaboración propiaComo se muestra en la figura 1, la arquitectura de Software es el puente entre los requerimientos y el código del sistema, la arquitectura empieza a tomar forma basada en los requerimientos no funcionales de la aplicación, por ejemplo, si se requiere manejar en el sistema información sensible, debemos dotar de las respectivas seguridades a la aplicación por medio de la arquitectura, por lo mismo los requerimientos no funcionales son conocidos también como características de la arquitectura, entre algunas a mencionar están las siguientes:Disponibilidad, Fiabilidad, Testeabilidad, Escalabilidad, Seguridad, Agilidad, Tolerancia a fallos, Elasticidad, Recuperabilidad, Desempeño, Capacidad de aprendizaje.Existen seis problemas presentes en la arquitectura de software de los cuales debemos estar atentos(Le et al., 2018), estos son: Sobrecarga de preocupaciones. Ciclo de dependencia. Sobrecarga de enlace. Interfaz no usada. Delegación descuidada. Acoplamiento de cambio conjunto. Incurrir en estos problemas puede desembocar en un costo monetario muy alto, como se indica en la figura 2.Figura 2Curva del costo del desarrollo del software (Miyachi, 2011)/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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Patrones de diseño de arquitecturaDentro del mundo de la arquitectura de software encontramos una gran variedad de patrones de diseño de arquitectura que ayudan al objetivo de tener una arquitectura de software óptima y adaptada, estos encapsulan soluciones específicas para ser aplicados en diferentes proyectos (Wang et al., 2005). Podemos entender por patrones de diseño a las comunicaciones entre los objetos y las clases que se adecuan para solventar los problemas de diseño general en un escenario puntual, la industria y academia continuamente han demostrados los múltiples beneficios del uso de los patrones de diseño(Wang et al., 2005). Figura 3Tipos de patrones de diseño PATRONES DE DISEÑOCreacionalesEstructuralesComportamientoFuente: Elaboración propiaComo se indica en la figura 3, hay tres tipos de patrones de diseño de arquitectura que se clasifican por su naturaleza, estos son: creacionales, estructurales y de comportamiento. Hay una correlación entre los patrones de diseño de arquitectura y el diseño del software, esta vinculación se establece a través de los objetivos de la arquitectura, los cuales a su vez se dividen en subjetivos, por lo tanto, la arquitectura y el diseño van de la mano en base a los propósitos de los requisitos del sistema (requisitos no funcionales). Existen varios patrones de diseño, entre estos están los últimamente populares, Microservicios, por su uso en grandes aplicaciones como la plataforma de streaming Netflix, también encontramos los patrones de diseño orientados a eventos y los server-less (sin servidor). La arquitectura de software comprende tres aristas que son importantes considerar.iVBORw0KGgoAAAANSUhEUgAAAfEAAAEKCAYAAAACZ2ynAAAAAXNSR0IArs4c6QAAAIRlWElmTU0A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La modularidad es otro pilar importante dentro de la estructura del software, ya que otorga desacoplamiento parcial o total de los módulos a desarrollar, actualmente entre más desacoplados estén estos, más libertad se tiene para el desarrollo comunitario, pudiendo estos módulos dividirse en los grandes dominios de la empresa, una gran ventaja de la modularidad es la disminución del riesgo a fallos totales, ya que en el caso extremo de fallar un módulo los demás continúan operativos para las otras partes del negocio sin causar un cese total de actividades hasta la mitigación del error que lo haya causado, la modularidad se es medible en base a tres parámetros: la cohesión, el acoplamiento y la conciencia entre módulos.Dentro de las arquitecturas actualmente contamos con dos grupos, que se dividen según la figura 4 en (Richards & Ford, 2020):Figura 4Tipos de arquitecturas.iVBORw0KGgoAAAANSUhEUgAAAYcAAAEMCAYAAAAvaXplAAAAAXNSR0IArs4c6QAAAIRlWElmTU0A
KgAAAAgABQESAAMAAAABAAEAAAEaAAUAAAABAAAASgEbAAUAAAABAAAAUgEoAAMAAAABAAIAAIdp
AAQAAAABAAAAWgAAAAAAAACWAAAAAQAAAJYAAAABAAOgAQADAAAAAQABAACgAgAEAAAAAQAAAYeg
AwAEAAAAAQAAAQwAAAAASlI2AQAAAAlwSFlzAAAXEgAAFxIBZ5/SUgAAQABJREFUeAHtfQd8HMX1
/7uuLtuyccG2ZMAFg3GlF8v0joHQEohFh0BCC/x/BAgykAIklMQJJCQgSgKEFkJ1KJbpDsaNYuOC
Jdu42+rS1d3/e6Obvb27PenudKfbu3vv85F2dnbqd6R9O68NABMjwAgwAowAI8AIMAKMACPACDAC
jAAjwAgwAowAI5AwApaEa3AFRoAR6DcEVFWtws6q8Ud/xVsmRiBhBOqDNeosFotMx2yEmUNMaPgB
I5BZBJAx1OII7szsKLj33ERA3QBgeQKZRG2s+TFziIUM5zMCGUIAmUI1dl2LPzPxBzzLXgOlaTP4
G76AAF6ZGIFkEHCMmSGquaaeBvaq6bKJhZioQSbRIDPklZmDRIKvjIBJEEDm0IBDqSRm0LXgL+Bb
v9gkI+Nh5AoCxCiKz5wL1gHDaUoLkTlUR86NmUMkInzPCGQQAWQMddj9HGIMrY9fnsGRcNe5joB1
wAgou+QxySDmIoOo1c/Zqr/hNCPACGQOAWQMVdj7HBoB7RiYGIF0IqA0b4aOV4IqLVW5JPj3p3XJ
zEGDghOMQMYRqKERsCgp4+uQNwMgkSXtUsFiHYWTrtZPnJmDHg1OMwKZRaCKuleat2R2FNx7XiHg
WfqanG+1TNCVmYMeDU4zAplEQFVnUfesgM7kIuRf37q/t2r97Jk56NHgNCOQSQQsltHUPcmCmRiB
TCPAzCHTK8D9MwKIgFQGskiJ/xzMggAzB7OsBI+DEWAEGAETIcDMwUSLwUNhBBgBRsAsCDBzMMtK
8DgYAUaAETARAnYTjYWHwggwAlmEgKV4IIDNgeZVHlC7WrJo5DzUeBBg5hAPSlyGEWAEwhAonHUV
FM66Qstrf+kO8C5/Q7vnRPYjwGKl7F9DngEj0L8IWCzgnHZ6WJ+uGWeF3fNN9iPAzCH715BnwAj0
KwL2ymlgKx8W1qd99BQZwC0sn2+yFwFmDtm7djxyRiAjCLimnBLVL0b0BOfk6PyogpyRNQiwziFr
looHygiYAAG7ExwTjxEDURUFPIueg4JDfyjuXQecBO6Ff4s5SNseewM4CkDZvREV2K1gGzER7MPH
g6oEwL9xBSg7G8LrWqxAdWzDJ2BgOAsEtq6GwJZVIm0bOhaV4XYIbP8OFeLu8Hp9vLMUD8JxTQDr
wBF4yNL34N/yLagduw1btRSWg3XQnkIpH9i+TpShPDuel2BxFUNg2xrxAwG/YX0zZzJzMPPq8NgY
AZMh4Bx/FFgLSsWoKJqn+5NnwHXIBfjutoBtyBjxwg9s/iZq1NayoVB+7Qsi3/3FK+gSrkDBjLO1
coq7DZp/LQ6+E3mOCdVQfBYeRhPsSxb0rVsEnsUvQ8l594qszvkPgvvjp+XjPl2tFaOh5Ae/Avue
+0W149/4JbS/cGtUaJOiE64D17TZonzzw2dC0fHXgWPCTIGHbETpaIL252/pjn4qM7PgymKlLFgk
HiIjYBYE9KIj71fzQWnZCv4Ny7ThuWKJlnAXIKlg+plhjIHyVWQOkki5XXLB76MYAz137H2wxhi6
y6fmvDI7tlt+9bOGjIH6sY+aBGU/eRasg8d0dyt/6+ZVfuXT4Ny3OowxUDErmvyWznkE61bJWllx
Da1YVgyXB8kIMAKZQsBSNAAcYw8T3asBH3i/fk+kvSve0obknHQCvg1t2n1PCaWrDbo+rMMzsl9H
kdGa7qIodio89lrtBau0bIPO//5B/Pg3r+ypueSfWe1QfOqtYHEWijb8KApqe+paaH7oDGh77mZQ
WreLfNrFFB17Tcx+LAUl4pnvu8+h4437xNxI9EZkQRFYwWEXinS2/GKxUrasFI+TEcgwAs79j8OX
HDq9IZF4Rzq+eb9+F4pOvkW8AK0lg8TXvW/NJz2OVkGdQ+vfLgZlx/qwciSisSITIlLd7dD65NWa
LsL98VNQfPbdQLqNVJJr+mywoUiJKIARcVv/iofxBfUYpB9p3fEdlF/zAp6HYwXnxKPBUrYHqEGG
ETmOrg8eh65352nZKrZTdPRV4t5ROVXLz4YE7xyyYZV4jIyACRDQi4y8K97WRqR2NgtmITOck0+V
yZjXjn/PjWIMVNg+erJWx7P8TY0xiEzUU3S8dDt4Vy3UyqQiQcpjSW7cyUjGIPOIgfnXfy5vkZFU
aml9wv3pP8MYAz3zLnlVK2ItHaKlsyHBO4dsWCUeIyOQYQSsg0ah3P0AMQoVw2V4V9WHjYhES85x
h4s8JypkO0hE4+0KKyNvAjsbwLdygbwNu9oGDNfufd8aMAFVRYulbwGwj1SRDecmyTXtDEO9g133
1U9WTLBe1ghdfY1LQzfBlNK2XVhjWVDUJsROpKNAJpcNxMwhG1aJx8gIZBgB1+STtRFYHC5w7X+8
di8SaLYpiWT3TjR39aIuwYjIdDUWWXXOdVLWH6tsqvL1zIEslYyslfR9SdGaPi9mGpmZ6ukES2G3
hRcqU5A5xCxtqgfMHEy1HDwYRsCcCDgj5PzFs3/Z40BJBBWLOfRYEZXDIcIXaT+T8LfojB1EUPV2
gu/bD/t5VJnpTr8SmRkB98oIMAKmRsA2cpKmsI13oPYxB4IFZexq2454q4hySvtOIKU2kXXAMHRy
WyvS6fwVQEc3csYj6kRlsn/94nR2lzVtM3PImqXigTICmUFAr4j2rf0UOt6833AgJG4pu7xOmISS
ZY/rgBMTdlAToqRh40T7jnFHgm/1R+F92V2aOW34g+TvlKZNAEHm4Bh7BDOHIJRsrZT83xTXZARy
HwEU8zgnhfQL5JNAYS6MfihUhN6SSO8wFy9Q5HUtiZiSCJMRzLC4SqD0hw+AfeT+skjUtWDmZVB6
6eNQctEfQa+/iCqoy/BvWK7dFRx0DtiCzEnLDCYorAYp5vOFeOeQLyvN82QEkkCAnN40vwNhpWRg
QaRrl6yWaMdAZMeXLMVGkjGHdMViJj1o+ll49NVgwRhOFleR8Cz2rf4AVL8PHOOPjIoGq2+ImAed
M0G7FiLfuCPA8/mL+iKGaff//oUhQM4H24ARYtdTdsXTWO8FjKm0SiiTbWid5NjnMLDvdRDGWtoE
LQ93h8swbCyHMpk55NBi8lQYgVQj4Ay+6Kld32pUxKJCticisZOCfg+SoZAiW+8U1lNdekY+E1S+
6MQbRVHSP8jYRb3VJVNRyRhE2R6sosLa8nuh87VfQ8m594pgeRa7QwsmGFYuz25YrJRnC87TZQQS
QYAC5knyLIvjpDfFD/pwGtag3wKF25ChJCKdzGT78krB/NrRSY4UxXqicBud8x+CrhiRXynOU2DX
BlFFRR+LRHYs5NHdMu8c4b9BdSNJ+Has+Rg6Xv9N2CPK18ivS2uZmPB3R42l3U+2+DjQ8PvfVkwP
GqcZAUZAIKCqahUm1ivNW6D5gVPMgwrGBCJxjYpf173tGvSDthSW4dvF2h1QT37Bo/+DBRXKFBYD
kInEQ5aSwSia2kvUCWxbjfEt/EJ0JI8oJWZBYTU0wvFaS4aA0o5WUn0Ik20tH94dihuZGkVVpdDd
IOehdYYJ9FugEN00HzEv/TOZJhGZswgE04nFQGTZDFytKE4bcKPwSWnE6LpVcggsVpJI8JURYASi
EcAXLIl6EiU6ryGK8Ivc6Ks8qpwuQ0XTVj/+xE04XqVlS9zFYxWkNuJqh5zcesMHGatgrrE6M2k+
i5VMujA8LEaAEWAEMokAM4dMos99MwKMACNgUgSYOZh0YXhYjAAjYIyAqupiM2VJEDvjmZg7l3UO
5l4fHh0jwAhEIOD+6EnwffM+Wv5ghNagdVJEEb5NAQK8c0gBiNwEI9BXBNpfvO2QvraRN/VRwUtm
qgE8hCdeq6e8wSaFE2XmkEIwuSlGIFkEAptXXZ9sXa7HCKQDAWYO6UCV22QEEkBg1+1T61S/5+AE
qnBRRiDtCDBzSDvE3AEjEBuBHbdPqUZX1DmxS/ATRiAzCDBzyAzu3CsjIBCwWix1lEAv5JdEBv9i
BEyCADMHkywEDyP/ENh5x9R6nHUlnhq5sPya536efwjwjM2MADMHM68Ojy1nESBxEgY2m0kTxLhK
tTk7UZ5Y1iLAzCFrl44Hnq0INNVOqUJx0gIaP0bmuXjIPcvqs3UuPO7cRYCZQ+6uLc/MpAgEAt16
BhInDb57WZ1Jh8nDynMEmDnk+R8AT79/Edj1y2m1Upxks6k1/ds798YIxI8Ah8+IHysuyQj0CQFh
tqqqd1IjiqrOqqhd1tCnBs1c2VUMdjwi1Dq4Cs9V8GGYi0YIbF4pQl4YDdtaMRrPbdgHrMUDsYwi
Dvqh8qq7Laq4pWgAWAfuKY7wVHauF8+pvn3ERHHMp3/rtxDYgmc/9HJmRCJ9aoPAsxlsQ/cBW0UV
9lUAShuGFN+4ovew3VoD2ZNg5pA9a8UjzXIE8CCVWpoCiZNyVs+Ah/kUHfczcSYzzjdsxQJNm6Hz
rd+Bb1W9lu+acTYUHH4RvmxHa3kyQWc/0Klv7o/qwphK0fHY/rTuc5ybHzoDik66CZzjj5LVxFX1
uaHzzfvB88UrYfl0k0yfVM8x8RgoPvlmsJbtQbca0Sl37g/roOv9R7S8XEiwWCkXVpHnYHoEyAta
ipMG37202vQDTmaANgeUXfk0nr98AR6QFs4YqDnbwBFQcv793Sen4b1j3BFQfPpthoyBylvw5Lii
434Kzqmn022I8IQ5SWVXPRPFGOiZxVEAxWfcAa6DzpFFxTXZPu2jJ+MZ07+NYgyiL5w3nZWda8Q7
h1xbUZ6P6RDQe0GTOMl0A0zRgAoO/RHYUeQiyfPFv8G7+iN8UbvAhS94x94H48mhNnT4wyMzu1rE
8aNUlr7yPcvfBN/K90Fp3QHW8mFQiExBtlV41KXgXfKqbDbsai0oFffUj3fZ63i05ygoOOxHYEXR
E1HhrKtw9/BvIdqiezrylCjRPl0HnyfGTnW9uPPpnP8wttEFjsppYudD+blGzBxybUV5PqZDQHpB
ozzpyZwVJ+GXeuFRl2jYd9U/FiZm8a54S3xd04ufGACRb91n0PGfe/Bl+wHQcaCSAtvWYMTV9VB+
3SvihUxnHAOeDR3rTOjO//6hW/QUbMDfsBhKL34MLHSeNOownPsdC9Q/UbJ92obsFWwdoOu9R0BB
HQqR98u3xY/2MIcSof1ZDk2Kp8IImAUB6QWN42msuGdpjVnGlepx2CoqwVIQ/Cr3dEDXx09FdUEv
aPeHT2iKYjp72bP45TDGICspTZvwDOdt4tZitYK1ZIh8FHZ1f/JMGGOgh/4Ny8HfuEQrR4pqScn2
qXY0ySag4Ig5yKwc2n2uJnjnkKsry/PKOAJ6L2gUJ9VkfEBpHICtYpTWum/DMgBkEImQdeBIsA0Z
A9bSwWAhiyXUK1jsuhcwMggj8iEjMCLaITj2Okg8spYPNSqCFk/x9+n7bpEQi1FDrskng2PMDHB/
9hx4lr4KesZh2FGWZjJzyNKF42GbHwHpBY3a2blD7l5ab/4RJz9CkvVLUtu6xUbyvqerffQUKEIL
IPuIfXsqlvAz1dMZs04yfbo/fgYZwoHg2OdQ0S5ZLJHVVOHRqNNY/BJ0vvNHlFm5Y/aZjQ+YOWTj
qvGYTY9AUJwkzFYH37Wk1vQD7usASScgyWKTqR6vtpGToPSieUJBLQsqXa2gou+AGvCCDX0kyOoo
KdKPx1GoNZF0n+gz0fbUNWg5dQYUHoGmt0EdhAX9HgoOuQBsKLpqe/wyFJnpzrfWes3OhG5Fs3MC
PGpGwGwI7LxjSo00W82XoHpK81ZtGSL9ALQHEYnCoy7WGIN/21roePVuCGz6UitVdtU/kt5RWIsr
tHaUli1auq99elGMRD/2qunCEsoxZrpo24Gmro5xR4b5cGidZmnCWJCXpZPhYTMCmUaAgupZwIJa
V3J2y5+gekrz9xr09sqp3XoDLcc4YR81WXsQyRi0B70knBNmon4i2qfCud8xWk2lOcQcUtEnNexv
+ALa6q4A39pPtX6sZcZKc61AliWYOWTZgvFwzY1AvgbVC+CXP/kOEJGopej464VSWVst8pw+8SYo
u+JpsA4YHizn0h7bdDoLyiw4ogZswydoz2MlXFNOheLZtWEMouCwC8Mc60g5LcmC45AUd5/om0HO
dBRuI4xUFc1yuy2qRH6OWTCxWClstfmGEUgeAQqqh4cz4KcsWjrmWVA9FXUF7kX/Qnn8jwWArqmn
oc6gEv0KFqErdAG4Jp0gvItVRcHQSd1yeT/6M5A4hqjwuGuRaaAPBOobnBOqwblvtciP5xf1Za+c
Aj50hLOWDhFhLmQ939rPumM6BTOS6dNaPhyKT70V9SB+8H79LvbzodCFkN6BdBCSAptXyWROXJk5
5MQy8iQyjUBeBdWLATbFQHKOP1KYpFIR+6gDxE9Ycb9H81Z2oy+EY/TvxWMbOscVHXttWNFEbmgX
YEPFsJ6U9l3oyfygPguS6VOlMSORU53rgBPFT1ijeONduSDMtyLyeTbes1gpG1eNx2w6BPIiqF4v
qJODWcujPwLPkn+LiKn64qrfB95v3sPnF2p+AT58oba//EsUzWzXFwWlqw3cn/4TOt/7s8hHpT5+
tfvCysibDgyu5/0WPayxjCTV7xU7FhoLeVvrKZk+yTS34837INC8Wd+USKvk8IfBAdtfuj3qWbZn
RGtysn1GPH5GoJ8RoKB6YIE51G3F3UuT+p/Cl1sVVl9PytPmB06hprKeyPeB9AsUdjuwswE/r7uM
54QOb1ROlG3fjaEzvtPKUXhuetmDN+S3UHxmrYjVRIXanrsZfMh0LOh3YBs0ElSvGxkChutGEVCP
lGCfsi0xzjJ0qkM9BHlwC0uoLDdfpfAkA258nabYiB85VZQgYrFSNw78mxFICoF8CaqXDDjK7o1A
P70Snt+gNH0vfiLL0m4kHlJx9+GP2IH0WC/JPol5662feuwjyx+yWCnLF5CHn1kE8iKoXmYh5t4z
hAAzhwwBz91mPwIyqB5KuxfmclC97F8pnkEyCDBzSAY1rpP3COiD6uWLF7RpFh3NYTVC8RBTehBg
nUN6cOVWcxgB8oJWApYFNMV88oI2y5J2vHW/sGYifwllV4NZhpVz42DmkHNLyhNKNwLkBU0mSSRO
Gnz3srp098ftRyCAVk+B7WsjMvk21QiwWCnViHJ7OY0AeUEjY5hJk8w3L+icXlieXBQCzByiIOEM
RsAYgUgv6IG1yxqMS3IuI5D9CDBzyP415Bn0EwLp9ILGthtwGgvJyYpOGWNiBPoLAYpNFaQ6maAr
Mwc9GpxmBGIgQF7QUpw0+O6l1TGK9TW7gRogj1UmRqC/ELAO1P7eGvR9MnPQo8FpRsAAgX70gq6n
7gtnXWkwCs5iBNKDgGuKtnOo1/fAzEGPBqcZAQME+tELuh67F6Kl4rPmGoyEsxiB1CJQdsljssGF
QdGmvMdwYUyMACMQEwHygg6KkxoxqF5VzIIpeqAF4GvdFvB99z9bx8t3pqhlboYRCEeAGAMdd0qE
jCGKF/DOIRwvvmMENAT0XtCKqtZoD9KYCH69XWwtG2qj7f6AG98QCmrWQ6QR9Dxqmv6OXFNPh0F3
LdEYA05/lhEEUdzCqBDnMQL5iMCuO6ainxuSxTK34q4ltSLdT7+CO4g67E74VFC3+RINlObKlHoE
yBIughbix0h1RJ52y8xBg4ITjEAIASlOQu6AXtBps04KdWiQCjKIanxUg6fZjEEmNdqgGGcxAokg
0IiF6+kHGUMdXmMSh8+ICQ0/yFcEdt4xpQa/msQXeyaD6gVFTHW4DvRDp51V0ZWJEUgGgeDfU9xV
eecQN1RcMB8QCAbVW09zpaB6HDspH1ad52iEACukjVDhvLxFgILq0eS7xUkcVC9v/xB44uwhzX8D
jIBEgIPqSST4ygigHQaDwAgwAgBktorObgsICzRbnTXknmX1jAsjkM8IsFgpn1ef564hgMq6Wroh
cRIzBg0WTuQxArxzyOPF56l3I0BB9XAPPYfu0Aua/yf4D4MRQAR458B/BnmNQD8G1ctrnHny2YcA
M4fsWzMecQoR6MegeikcNTfFCKQfAd5Cpx9j7sGkCEgvaBxevwTVMykMPCxGwBCBuDykdW78VdhK
Nf7QlYkRSAaBBqxEP3X4Q9Eg6+na35SJoHrJzJH/95JBjevEQKAB8+mnDn96/d/rdecQDB9wJzXG
xAikEgE0Gd2IYp3HpaVQKtvuqa1s8YLm/72eVpGf9QkBVdkIFmuP/3sxmQP+YVZj53X4U4k/8N/P
t8O2Jg8sX9sCW5vclMXECCSMwLCBBTB0kAtOOHAPOGDvcll/ISZqEo39IisnepXiJDJbzVRQvZ7G
HPm/51n2GihNm8Hf8AUE8MrECCSDgA2PA+0O2X0ayHMcsJ2Y/3sxmYOiqI14/MPoFeta4L7n1sC2
3Z5kxsN1GIGYCExG5nDzBWNh6EAXlVmIzKE6ZuEUPSAvaIxgJ3bCVps6ZmDtsoYUNZ2yZlRFacQ9
/2hiBu142I/SzAwhZeByQwIBx5gZUHzmXGQWIoy34f+eIXPAL5d6bGEmMYab/vwVw8kIpA0B2kXc
cv5YuYuYiwyiNl2dZYMXtPzfI8bQ+vjl6YKC22UExC6iBI+jDe4iov73okxZg1vamYQd7RiYGIF0
IkA70qfmbxRd4G710uDfX1q6lIyHxElm9ILW/+/RjoGJEUgnArQj7VrwF9GFqgSi/veimAOWrKHS
97MoiWBg6gcEluMOlXapVqtlJHZXlY4uyQsat8nio8eMeobgnGvo2vFKLYuSgoDwJb0I+NYvFros
i9UW9b9nxByqaTj0D8vECPQXAvPR4CFI1TKRqmsWeUGLudM/LBMj0F8IeJa+Jruqlgm6GjGHSnrA
CmhCgam/ENB9jFSnus8s8oIW/3usgE71XwC31xMCuo+Ran25MOaAMs8qekgmq0yMQC4gQGarOA96
6TZW3LO0Bq+mJPm/pzRvMeX4eFD5h0AYc8i/6fOMcxmBbPGCzuU14LllLwLMHLJ37XjkvSAgD+9B
n4G5ZrRO6mX4/JgRyCgCzBwyCj93ni4EguIkcXhPxV1LatPVD7fLCOQqAnEF3svVyfO8chOBnXdM
qZFmqyjLr83NWfKs+hMBa/kw6SwGvnWLQG3f2Z/dZ6QvZg4ZgZ07TRcCwaB6T1D7KqgXszgpXUhj
VM/igQA2B4DPA2pXbpu+u6bNhsJZVwgwO+c/BO6Pn0ofsCZpmZmDSRaCh5EaBAIBCzm7CXHS4LuX
1aWmVW4lEoHCWVdpL0t61v7SHeBd/kZkMb7PYgRY55DFi8dDD0eAgupJcZLNptaEP+W7lCGAETmd
004Pa84146ywe77JfgSYOWT/GvIMEAHhBR2MtornRMwyY7TVXFkoe+U0sKEMXk/20VNkhE99Nqez
GAFmDlm8eDz0EAJmD6oXGmn2p1xTTomaBOIPzsnR+VEFOSNrEGCdQ9YsFQ80FgIUVA+fzaTnJg6q
R8PLfrI7wTHxGDEPPHcCPIueg4JDfyjuXQecBO6Ff4s5R9seewM4CkDZvREV2K1gGzER7MPHA0YE
Bf/GFaDsbAiva7EC1bENn0BnWkJg62oIbFkl0rahY1EZbofA9u9QIZ7Cw8f0fWK7vg3LQG3bET6u
nu6sdhzzXiDGh+XEmHesB1D8PdUy5TNmDqZcFh5UvAhkUVC9eKdk6nLO8UeBtaBUjJHOnHB/8gy4
DrkA390WsA0ZI174gc3fRM3BWjYUyq99QeS7v3gFLQYUKJhxtlZOcbdB868Ffxd5jgnVUIxnDci+
ZEEyI/UsfhlKzrtXZHXOfxAth56Wj/t0dex7NJScWQuWgpKwdryrP0KGtiksL+oG519w+BwoPPoq
sCAD1ZOK1lyd784Dz6f/0GebPs3MwfRLxAPsCYEsCqrX0zSy5pledOT9aj4oLVvBj1/XjsqpYg4u
FC11GjAHPK9Ym2PB9DO1tEyoyBwkkXK76LTbBMORefLq2PtgoJ8QkW1a38l14A+g6NRbDft0jjui
5w6QMZRc+Adwjj3csJzF4YLik24SzLPzP/cYljFjJjMHM64KjykuBLIlqF5ck8mCQpaiAeAYe5gY
qRrwgffr90Tau+ItjTk4J50AnfMfQDFKoNcZKV1tuAt4Caylg/FrvXs3QmKnwmOv1V7SSss2cC96
XrTl3P84sI/Yt9d2Ey5AfR5zTdJ9EsOUjIFEbSRa836D2NBu4uDzwTV9thiSC5miB+cS2JYdh6gx
c0j4L4krmAEBDqrX/6tAL2cLOb0hCS/hoOOb9+t3oejkW/CZHawlg8SXvW/NJz0OUEGdQ+vfLgaF
5PE6ImczKzIhItXdDq1PXq3pIsjxrPjsu4F0G6mk7j7LRZMJ94k6hiJkLJI637pfMAB53/HqXQDO
AnBNOlEwH9ch50Pnq3fLx6a+hvZ6ph4mD44RCCFAXtAyqB57QYdwSXeKREaSvCvelklQO5sFs5AZ
zsmnymTMa8e/50YxBipsHz1Zq+NZ/qbGGEQm6ik6XrodvKsWamVSkehLn9ZBo8BaPlQMQ2ndDp7P
X4waEu0WJNkqKmXS9FfeOZh+iXiAkQiwF3QkIum/p5egfdQBoiNSsHpX1Yd1SqIl57humbtzwkzo
cBYCeLvCysibwM4G8K1cIG/DrrYBw7V737cGTEBV0WLpWwDsI1XUlz5tFaO0YVjL9oDi02/X7mXC
gmIzSbaBe8qk6a/MHEy/RDxAPQLkBQ2qKt4M7AWtRya9adfkk7UOSMHq2v947V4kXMXavQUZgxPN
Xb3LXtfy9AkyXY1FFOBOEn2J9wf1pU9imnpyTTtDfxudDorloh+YL4eZg/nWhEcUA4FIL+iK2mUN
MYpydooRcEbI+Ytn/7LHHkgEFYs59FgRZfghSo0lUqi9GKkU9al0tgh/jRi9iGzf2p51MT3V7e9n
+pXo7765P0YgIQTYCzohuFJW2DZyEtgqRifUnn3MgWApHZKYAxn2oGAobFJqE1kHDEMnt7Uinc5f
felTadqkDY3G2v6P67T7bE8wc0jjCtqsFjhuxhAodNlg4/YuWPxtcxp7y+2m2Qs6c+urV0T71n4K
HW/ebzgYsmQqu7wOSKxksVrRqujEhB3UhChp2DjRvmPckeBDB7Qwsrs0c9qw/D7c9KVPZff3Ws92
9Pgmc19S0OcCpcxayW6zgAN/8H2YFFE9qk/t5ApVlDvhpvPGwk9m7wVXnj4mbFqVQwvhnOo9xc+A
km7zwLACvdwQTkdPHQwXHjcKDpmIcfVzmNgLOoOLiyIX56SQfsGDegQKc2H0Q/b7eksivcNcvDMg
r2tJxJRkGArKs7hKoPSHD4B95P6ySNS1YOZlUHrp41By0R/Riiikv4gqqMvoS5+B3RtA6WgSrRFT
LDrhBtzy2HStB5MUloNCfqBPRbZQSnYO15+zN5xySPdCKIoKn32zG+5+6lvwB9S4cLj5/LFw7PQh
YA1yllc/2gLzXsGYKTlMt1wwDsaN6nbTd9gt8M93Q9vTeKY9ffwAuPXC8aKo2xuA2bctggBin4vE
XtCZW1VyetP8DoSV0sIeB0NWS7RjILLjDoBiIwW2r+uxjv6hZ8mrGILiahGCwuIqgtI5j+Du4QNQ
/T5wjD8yKhqsvi4xDzpngnYtRD70bDYyLdXXoXRf+gS/F7refwSKT/uFaNY19TT0hN4LyHs80LRZ
7KLse+6HCvqjgayZ2l+8DQijbKCUMIfJe5Vrc6UX/GH7V8As/Kp9Z/EOLT9WYso+5XD8gXuEPR4/
uvulGZaZYzdlxbGhJ3HUT2aPgZJCOzRu6zRkHGVF4fWJr8a2Acle8NgLOrNr5wy+6GkUvtUfonlq
Z48DIrGTgmIVyVBIkd2FcYXiJRLJUPmiE28UVUj/QE5q8RDFRJKMQZTvwSpK3x712fnOH0WIC8o3
6jOAYUIiw5TLNijWE8WCcga9x+0j98PdzX7ycdZeUyZWikTg1MNC9sqRz/T3s4+Ir5y+Ti6k3/ti
BzS1eWH9lg746rvWsCkVOK1w+uHD4ehpQ7QdWVgBvFm+tgU2IOPY3eqFD5bvAl+cu7TIdsx8z17Q
mV8dCpgnybMsjpPeMPqo/svYGvRboHAbFFpCUC9RVCmYXzs6yQWaQvJ8qkfhNuiIzq4YkV8pzlNg
1wbRhYo+FgntWDAoXvvLd0IgIsAetdf59gPQ/uzPRbv0Sw14tbRIoHNe+9PXQgd6PgeaN6OldfQO
ntrp+rAuTOwW3oj57sI/P1M4vomVpTBmWBGs3xr7S2PIACccsl+3ZUIKu86Kpure3gD0kyxtb/bC
pfctTbZ6VtSTXtAYd2DukLuX1mfFoHNskG11VwpZv4rik952DXLqnaiw7lrwF1QSWDEERndAPRWt
kJp+fSSKi1wiLIYsG+vqRfES/VhKBosQ2BTWIrBtNW6P/UJ0FKtey7wf4Jf/ELR6QqkFlk2EvMte
Q/Pb17DPCiEaCuxqBFXna9H0q6OEPiHWedkejDZLP6RXoAi1FC9KRfNWpXVbViqpU84cSAxSObRI
rMnJhw6DP/WgOzgVn5MIhejbDW0wfnQw+JbIif2Lvqz3GlEMo/coBI9PgYYtnbBxR1dMHUcVMimX
wwqbd7qhrctP8bBgnz2LYezIEtiFX95rNrbD7jZf7A51T4YNcsHe2Hc5KpG37HJDAzK/pjjr6ppB
kZENRgwuFHoC2j3QRxWNa/igAijGZ5JsqHgeURFSYjW1+6DL0y1AGo1K7UKnDXa2eMU8ZB39tQgt
paqGF8GoIYVid7EJcVqzqR2/bvSlQuk9hxQIpl5e7BBltux2i/LtXbGFVqQzGTO8WPThwrWh3cw3
jW3Q2pHYP2doFABBcVL3WdB3LanVP+N0PyKAL9hkrG/ovIYowq95+qJPhIip+PEnbsLxKi1b4i5u
VFBt34V97op6pHrao/IMM3BnFNi80vBRNmWmnDm8tWgbXBW0zDkOlcx/e71BvMAjQSFrm5MODm1Z
X/tka6/MYQ/cadx8wViYvHe5CGKlb9MfUOC5976Hp99B64Hg7pWe0+7ksZu7wwm//ulWWLyqCW48
dx8ow5efnt79Yjs88K+14PMbvzVPO2wYXHpyJb64oyH7bnMH3PvP1fAdMql46crTxsCJwfnPrVsJ
H325G6aPGwC/uSJcVllR5oQnfzFda/aNz7bCQy+sE/P6+y3TRD4xlyt+t0wrQwmn3QqXnVoJJLaj
WPt62oov/EdeXQ+ffLVbyz7lkKHwA7SeGolMJJKIGf3z3Y3w/ILvo5jKkQdUCP3I4HJXWDVaj+ff
/z6p3dHOO6bU4IhnUoO4Ra8Na5hvGAFGoF8QSLnOgSyVSJZORC/SmVMGG07kKHypDCx1imcr8Stz
7fcdhuVkJjGER2+aClP2GRD1sqMydpsVLjx+FDx4zSS0epK16Gs89GKkncqdNROiGAOVPnb6HoJp
hGp2p6j6L+dMgJ+dvbchY6BStIuZd/1kOGJS/CIy3bC0McZjxmsLVtTPS5+m8ZBJ8LzrD4Azjxyh
tU35kobh7oTmVBpUah+870C4/px9DBkD1SE/jUtPqYITIgwH9qsqhdsuGg+RjIHq0HqQziRRwlPC
cB9ieYLqcVC9RNHj8oxA6hCI/gzuY9t+/PJ+Z/F2OHfWSNHSKfhC/u/n26NaJYWrJPqi74lI9HTD
uXtrLzP6kn3u/U2wDhnKgFIHOprtIXYT1MbEqjKhxKWdiBHRi7S1wwfvoEJ4A4qEzsAva3q5E82a
MgSeeLMRSJ4vidqmr2NJX6AjG82vE8cwdmQxznNPFFnZwIFf6lefsRcs+qYpaeXw8nWt8OALa4Es
kehlTNTW6YfHcUySvlpvsF2XD4PXs44aIcQ8Mpt2c/9buRucOE56wU/DHQphSiInar+4oFuM5fEF
4F3E5eMvdwlR1R4DXWK3RCIjoh8eOwre/l9oLQk7KRb85Ktd8NjrjUBmtQfsVSZ2IbL/RK4dL90h
wMb928LBdy+rS6Qul80PBFRVJ+JEZTBTehBIOXOgYb61KMQcjBTTJLPfb0yZmBG9nOqX7oRRqD+I
RSejyGNPlM8T0cvnhnlfwjoU5Uh6F01maUdwaFC5fRHuIN5AhmNk9r+9yQM/f+QroS+g+guX74Rn
bp8hzEZJvr8vMpfty7plnPQFPueE0bIbwRR+99ward1Pv94NS1a3wP1Xo+kafinTy/QkHOt/PjZm
TFpDMRLE9N78bJt4WUvmQHm9MU99c6SPueDYbsZM+c/8dyM8OT+k+H5/yQ7xRU8iOtJVEH2xulkw
pc9wPnrdy3oUk23Y1gVP/N80wQSG4vxodyP9V6Ruidog5TrpM4jex/Wkn0SJlJi+jSuEgsUC6usk
Xkq0jWwt3/bkNYNL5/wpW4ffr+N2f/Qk+L55n2SOmnVSvw4gTzpLC3OglwSZZ+6PX5BEtHvQO7Wd
fnjIc/G/+BXu9ffM/Q+aEPIAno9frnrGQO2T8xd98UvmQOIqelFv3e2hxxoRI7rpz1+G5Xe4A/DR
il2a/J9k/JJIkUvtEJEM/e9vNGqMQZahL/lPv27SdhcTUKmeLHOQbfbluifqDIoLupe10+2HF+rD
zQGpbWIQempBxTExJSMipfuOZg+QKIp8WAYhPsRgiZpROS7pPNxB/f551Nn0waSWPExDZLk/JBAM
5eZqiixjmOJEAC2nEjFTjbNVLhaBQFqYA/Xx5qKtGnMg7+fHXu9WTJMIQy+Lpi/83mjEYPExKYp9
gF/6RkQms5t3dgkLIHo+HC18IpkDWSZF5lHZbcGXHaX1zmVkTSTp6/VtMS2CSAwjRU9kbZRJ2lOH
1dcNaBeOO49EiHAjK6gKZLBkkUX6GxKZSQoal4nbpWuahYiKbo5Bnc1kdGj894dbYD6KEfWMQ9bt
7UonihHhB+E2ZAxv91Y+l56jd28JzufsXJoTzyW7EUgbcyDHrGvOJHm2XShyq1ExTS+NEw4aCgVo
fklEjlwUkK43oheWpO34FRuL3N7QDsSJpqvxUgd+YRuR3oS0p371L+BE+jXqs695+jHvCoqN4mlz
/zGlIgYUmffGSy/UbxYMYcb47p0dKaYvO7UKfnziaHgTmf7fcTenX5Pe2i0597fQ/MCpqESHofir
oSKPTFhVdUkV4sPMobc/En7ebwjE/wZNcEjkf6AXX5DPAxGZhEp6LY5dAxnnoDOUrNLjleI6SSK/
hr6S3uop3rZS0W+8fRmVI92HJBmrSt7Huu6L4Up+ffl+wu9DliERXCPuxtaiTwQpqo2IxHm3/vUb
+N3za0SYD1mGzGhno6XUvVfuF2Y5Jp/HuloHjICi037RbWCuqjUi4F6swpzPCDACaUUg9CZJQzdv
o2JaEimmz6keoZlLkrkryfp7I3LW0n+1k+w7Fg3U6QvI4a2vtE2nsyDnt1g0CC2mJG1GGX0mSY/V
YIwKGw+df8xIYa5KZcln4mcPL4ez7lgEl92/FK5+cLlQSvfUDumBLkNvbdLnLF/XohUly7FDJsZv
3ksVCw78AXrowZOYrETLslrKY8otBGzDJ4DrkPPBddC5IsR1bs0ud2aTVuawGr869crjK9DxSxKZ
RMYbRZSUopIooJ8RTRtXDnplciqYg77f/fBFRw51RkTmrpJI75FKIlNdaS4aT7tbdViRQUA84cBp
bpIeREfAlRvi9ASVlYLXFWiKezNagi3+tkl7ol8TLbOXhNXe7fiG+8WZ4ljQXsrz4+xCoAAZQ/HJ
t0Dxqf8H9qrpphs8RVUtOPzH4sdSHDKGMd1A0zygtDIHGvtb6NEbSST+iUcRLeut+C70NXoMKreJ
EehpIL5A9YyHTDL1egB92UTSZMrZjuE2iEhE87Oz9kblbLiIixzrpFkuBdx6f4mxwjyRfsl8VTJO
EtFQ+I94icYsxUBU93LUAeiVyJR31RljYN51BwCZphLp9SR6JTw9IyskCjUSSSRyIxEhhdvQE+30
dur8RMgcOFEaiMd/kgOcqMfipUTh4/J9RKD47LvwXIbrxY9r+ll9bC17q6dNIS0heQ/NJunFrX8B
0YloegshWTbW9eUPtmAYiBHiK5gczu65dCIsQDt6EoGQ2erR0wZrXrrEeP72RkOsphLKJwbz3Hub
hJKVKlKQwHnXTYalqEgnGo6iJgpPLmkh+kfQbqmvRKoTik80ZED3y/vXl08EMvml+Egr0ET45Q82
x+yCYke9+tFW4ZxHhSgc+kj0IVmCmFPcI9p5keKYcJIMiMJ/SAZ3CYYIIfNd6v+w/QeFzU/f6dCB
BcJrPICmq+QrsmhlExSgnmc0MrITDgrtpNb04vmub1OfJgc4PP2tGtDVJHieQ5X+OafThAAe7lN0
0s/BUlgKgR3rwR0jAmqaejdFs5bCAaFxxKnvDFXInVTamQMFbPsITT315quvfbIlIQTpS/oPL62D
WzCuElk6kWll5BkQ1CD5SzyKMYMa0XErVfQKmmYeiH4WZKZJRN7U0qNa3wcFmnv0Pw36rD6lKaQ3
6QKIyLfg/KO70/HoNJ5fsEmcDjc6GACR9D30oycyGJDObOQLIZkDMQZiEL2RF+sTkeMgra1+fWVd
MvH9EplZskTiJSVgqcb6lXRMaMU9S2uSbYvrxYeAxVkABQefKwrTGQb5yBy8y98A14yz8IS33eBv
XBIfcDlYKiViJU/QiY2+RuULR48VhbKgZ0Qkx/8ffmVGEr3YZRx0enFF0oeovL7qgWXokdysiU1k
GWIepAj96UPLITJshh/blX1LcYusJ6/6/iId8uj+5ke/gr++1iCcwWQdeaX5kBfyDfNWRPlB9NS3
vh/5opVt0vVZ3LHULw13VqN8+qIn6qltioZ6DWLxNobNIGz05MP5EJbX4nPpi/AxBuC779nV6DEd
biZMIjXapTzxVqNogtZHri/5jFDE3W0YxC+SyPnuH+9shN9iMMK+EImXFBQriTZwB5FPHtN9wY3r
9g0BOtmt+b7joPVP54G/IX+ZQ5hAGP/5qxDW9STyufCexXEjTApTCkFNNu36F62+AQrrQGaetJOQ
4gz9c0pTGRI/0UtJH1k1shzt9MjZbCiKdcg6h5TPJOuORfH0TeOnuEtkwtkTkRMfhQonHQSF6yYP
654oVt80Bwp8R2KZntqgcVGkVBobMSL5Qqc+Y7UdOR7yfSCsCFfyK4nle0C6Cdo5kMioud0btgOj
k+soYm0ks6G+SHdBynrCZAfqG7Y1uXtcv8jxiTZwfM/cNoOSjTjXKkpIEkppVb0T7xutNrWamIZ8
litX+b+nNG9BX49T+n9a+PdlHTgSzyAogfKr/iH6V9p2QOvfL9PGolAY6+BJcOI8ZLsTw2NvBQpx
HUXo7W4bPEZkC29mf+jDo/jMWnBNPV08a3vuZgyF8R5YB1eBfcREsDhc4N+yCgJb8cMijpPcLMWD
wI7WT9aBI0DBw4H8W74FFb/4jchSWA7WQXvikXaebg9rZxE48ShRS2EZnrmwHXzrPsOvLq84h8Fa
MQpDL+C7avta43HgmQ10ljUdhkSe/SoeRERle/TcRrxsQ/cBW0UV1ikApQ3DkW9ckVRIdKP5JZtH
JuQDbnydqof976VErEQvewrB0BPRCynWS0nWi6cMlSVGQOKVeEQsVD6edns6r4DakEQv8kSseWL1
TXOI57wDGteqGNZDsdqWY5XXeLGizR15kBt5kfc0VvqYSESHJMcV79VqVeoCKF5C3jVT8Qvz1pp4
63K5+BBw7H0olP54Xlhha+kQGHD9q1qeG4/D7PzPPfiCGwvl1zwv8n2NS6Ht75dqZWSi4LCLoOjo
q8QtnaRGp7sZkbVsCJT86CFwjj8q7DGd+9Dx+m/F4TthD4I31orRUPKDXwGdzxxJ/o1fQvsLt4KC
p7LpqeiE67QjR9ueuQ6KZ/8SDwYK6Qw73vodeD79Jx5RekOoHJ4A51v5vtYMMdDCY38Czn2PwYOL
QibssgDh0fnar6OYhGPiMWihdbM4R1qWpSudkOf+sE6cQ63PN0M6JWIlM0yEx5C7CNBOwWZj8VJa
V9jW+3eidj4znvCmkT6tZVKo/N7LUHEyaY1kDJRPX+Nih4Gy/0iy730wlF/9rCFjoLL2UZOg7CfP
4m6ke+ei1deNqfTCh8MYA5Wh0+YE6crhRLrzgr9Lzv0NuCadaMgYqIijciqU/PABVMaFGId99GQg
739rWchQQzZqwXJ0zrYZqfe/CDOOmseUdwgQg0Cdw8V01gP+1DbVTqnPRfFSphbWt34xdOCugEQv
Rcf9VAxDwdPcut4N7Sb8+FWcLvKuWgje5W/iC70SCg67EKwo6iFRauEx14Bn6X9CR36iNVXxqbcK
5kFj8W9bA13zH8aznzeCbdg47evcikd0Fh17DbQ/9/Meh+xb+xn4N3+DIqJJKBoKmczHqkRHfxL5
UezlwZ2U//uvhSjDue8sKDjyYjwZ1Qq2QaPAuf/xOJ83RFnXwedhfnfIIO+qejwH+2FQfV3ISKah
L8VFoowZfzFzMOOq8JgMEbDZoB7FwAtJvIRipjosVG1YkDMTRwB1CfSyI52DZA4q5X3+YuJtJVij
c/6D4P74aa0WWQiV1vxFvFCt6ITmRJGM98v54rlr+myU2Y8W6QCKjVr/Ogd1CN1GEXhQFLTu+A5F
Xi+Il7Rz4tFgwa91/TnQWieYcOPcSASUCNH52MgNwLfmk7BqXchgaGfgmnqayLchk5NETnWSut57
BJRgBF7vl2/jvN6Wj0x31e39TDc2HhAjEIaAXrxEDIK9p8Pgycob0kXoGQNNgiyE/I2hY2/te+6v
zc0+ZoaWJlm9ZAwyU0HfDP/6z+UtMpLQS1rLxATtFjrfuFefFVfat+bjKMYgK/p0/epFSGpHyDqz
4AhkZjqRk6xrxivvHMy4KjymmAjoxUtomUDB+eqH3LOsPmYFfmBqBHwblhuOz7f2E3CM6Q6toX/R
kshGkmvaGYZ6BzvK/SWRFROsl3ehq/sj3KnEYQ0VqhGRQssjYlqkUCfFPaD1kg0trjTS6S183y0C
B+pJiFyTT8Z5zQD3Z8+huOxVtKwKMQ6trkkSzBxMshA8jPgRYO/p+LHK1pKquy00dJ1SWM8cyFLJ
yFopVBEV2zG+0lWlZ+tKfRthafIgJ2smNMW1uIrDHsW6cX/8DDKEA8Gxz6GiCDG7ouN/BoVozeVZ
/BJ0vvPHqB1QrLb6M5+ZQ3+izX2lDAH2nk4ZlOZsyK6Lghx2QmBouOQjoHTGViKTzsT37YehCn1N
IZMi81nn/sdpLZEpKvkrqKi8J2ZhGzRSe6YlkBG1PXUNOKeeAYVHXARSB2HB3UfBIReADf072h6/
rG87Ga2z1CWYOaQOS26pHxEg8RKKlGow7tICir+E6ToWL/XTAqiK1pG1qFxLpzKhb5ccAyUF0NHN
Pny8uO1ESyo/Wln1F9mGjgtjDJ3v/RnFQ88CeDrEEBzoq1GKPhuxyItiJPqhSLSFs67SxGYONHV1
jDsSfGjJZCZihbSZVoPHkhACghlYLHOpUjA4X0L1uXDPCFjR+xhQjBJJSmezlmUtRdv9SNENeh47
xh6mlekpYeTjQOXJQkmSnjkoTZtkNvZxhJbujwT5K0jyorWSiDsVZAwyP56rv+ELaKu7AnxrP9WK
k+7CbMTMwWwrwuNJCAHynsYKjfgjgvMlVJkLRyGgejpBDSpqSexh2yNkhikLU7gMNRjfxuIqAjIv
1QhFK2Vz/ixCS2h5PSTI9LP4TOTvOr2C6+DzUfQyRqslwloE7/w6BXbBQecI3watoC5BYTWsOuW1
7lHSScJDUqT4yDpguNAjyOfaFf0bXDhO8ugOIwyRoLRuC2VFMtjQk4yloj8LMjYU7pgRSByBSPES
OsrVk8I68Za4hkAARUYqytAt5UPFbelF88Cz7DVhieNDE1PPp/9AM38F4xB9Cs6xh4syRSf/PxFS
g17wzgmz0PMYdxwJEDEIe+UUUHZvAgUV0c6Jx2q1fesWQWDzSu3e/b9/iVPkbBgPiLyoy654Gn0x
XhDxmIix2dA6ybHPYWDf6yCMtbQJWh7WMS6tleQS5HAniXwtitHr2bf6I7CWD8NItudFeVxTWWv5
cOG0pwb84P36XSz/IcaPQssm9H0gHYSkwOZVMmmaKzMH0ywFDyRZBEi8hD4Pc9G09U72nk4WxVA9
D3oqFx51sciwlg6GQvT8JQrgy1uS+4MnwLHXwWgNZBcOZ3i8q3wkrhTITm+CGvZQd6OiA5t4WeJX
vt4SiYoo7XhoF8ZlCiMMjEeOayXn3isUwBTfqODQH4YVSdcNiYPII1paSLnQC5p+JBEDIDz0pAYD
DlK+64ATxY/+OaW9KxeYMjQ4i5UiV4rvsxIBEi+pAAtx8JVB7+msnIcZBt314ePgCXok68ejYpRW
SeTFTBY45KWsJzoDouON+6D9xdu0bDXg1dKUUPEFL674Mm159EfgRccyPZEFEIXzaP3LhRDQfa3L
MuSd3DLvHKBQFBSgL5JUjLpKbXa8/puwR5SvkS5KrJYXTMQsh+Nt++eN4P3qnbAqIpQ9RoMliyM5
HpoDEWHW8eZ9UTiJZ6iv6MLDlNpful2UNdsvi35AMmxwoiG79W1wmhFIBgEKKR4rZHe87WG8pSo8
HKjb5QkV1RV3LamNt26my8n/vYyF7DYAgOIIUawjCqJHu4aYobAxsinpCJSWbSga2qi1RKE48FM6
OmYRtkdhsmnXID2cKcwFyfHpxSzCdQdfrlpjPSRIdCNCcWMdBZ3KKHS3oYMbir0odhSgaakWZM+o
3TjKWVwlQo9AobcDW1aD6mnvbglFRrQTItNWEr/pifQSFOIbUA8hsGrZYjxOfaV+SKc1ZHc/jJ+7
YAR6RYC9p3uFKKEC5IgW2PRVr3VIQe3Hn0iK+QImvYbO4onqUfwjP/4kQwq+ZOmnV0IlcGS/hnXi
KEfMIIAhOKIIGZ5gelEPkA+gSa7e8sqgiKmyWKxkquXgwfQVAaGMVuFJbKcSo3rW9rU9rs8I5CsC
zBzydeVzeN7kPU3TQ5kpB+fL4XXmqaUXAWYO6cWXW88AAiReQgHCxaLr7uB81RkYBnfJCGQ1Aswc
snr5ePCxENCLl9h7OhZKnM8IxEaAmUNsbPhJliMQFC814jTYezrL15KH3/8IMHPof8y5x35CgMRL
CoqVRHcYnA+9p7vT/dQ/d8MIZDMCYcwBrTsacDILhw50weS90xNtMZvB4rGnD4FhAwtk4w0ykYqr
Pjhf0Hu6KhXtproN+b9HtvB0GAwTI9BfCFDIkSA1yARdw5iD/gGnGYH+RGDyPtrHSH2q+9V7Tyt+
Nm9NNb7cXnYjQCHEg1QvE3Q1Yg519ODmC8bShYkR6BcELjpeO/6xPtUdknjJZssK8VIdzV1EKU01
CNweIxADgcJZV8on9TJBVyPmQAWEaOnHJ0SEmaUaTIxAihH4/U+0A+QXonilPsXNi+b05q0mFi/R
3BeSaEn3D5sOOLhNRkAgUHbJYxKJqP+9KOYQlH3WUo0TD9pDYQYhseNrOhC4+fyxcEBIv1WTjj5k
mzYb1Js5OJ/+f8817QyFGYRcOb6mA4His+aKU+mCbddE9oFOpMaEgcBq8cmd9HTFuhZ4av5G2Nrk
hm27dZEN6SETI5AgAhRkjwwe6MODjB+CNAtfjvXyJl3XbAjOp//fozDRXQv+AoGmzRiXJzwCarow
4nZzFwEKskcGD/ThQTvUIBn+78VkDlQJ/0irMQbVXAxSeJRshSK2MjECySKgYwayiYWYqEHG0CAz
0n0lk1YULT2B/TSSqasZz56m/z38B5yLIVG1/71sCtqW7jXk9hNHQMcMZOUe//d6ZA7UAv6RVuGl
Gn9qkFGMQUbBiggEgyl5BPBvagMygwXYQgNea5NvKfmau26fWofBl+ZgC40Vdy+tSr6l9NXU/+/h
P+IYZBT8v5c+uPOjZfzfw7EqX/AAABOTSURBVL+juP73emUOkYgF/2Ajs/meEYgLAWQGDXEVTHOh
oHipHrupBIziWnHP0po0d9nn5vl/r88Q5nUDif7vJcwc8hpdnnxOIbDj9inVGHeJvqIAxUuzzChe
yinAeTJZhUCUtVJWjZ4Hywj0AQG99zQH5+sDkFw1JxFg5pCTy8qTihcB8p7Gso34w8H54gWNy+UF
Aswc8mKZeZKxEODgfLGQ4fx8R4CZQ77/BfD8QS9eMrH3NK8UI9CvCDBz6Fe4uTOzIqAPzhcIWOrM
Ok4eFyPQXwgwc+gvpLkfUyOgD86HJnx89rSpV4sH1x8IMHPoD5S5j6xAQB+cD53OasjUNSsGzoNk
BNKAADOHNIDKTWYvAvqzpzPlvZ296PHIcwkBdoLLpdXkuaQEATMF59OF0KjCyVXjD12ZGIFkEKgP
VqrDDx+ZjtkOM4eY0PCDfEbADMH5kDHU4hrcmc/rwHNPFwIYYwmDT/a0O2bmkC7sud2sRyBTwfmQ
KVQjeLX4MxN/wLPsNVAwZDeF76bQ3UyMQDIIyLPJXVNP05/jsBDbqjGKu8TMIRmUuU5eIJCp4HzI
HBoQ4Ep5loNv/eK8wJsn2X8IEKOg42iDYbwXInOojuydmUMkInzPCOgQ0AfnU0G9WCisdc9TnUTG
UIdtziHG0Pr45alunttjBDQE6OAfOiY0yCDmIoOo1R5igq2V9GhwmhGIQKA/vaeRMVRh93NoCHT6
GxMjkE4E6GTBjleCKi1VuST496d1ycxBg4ITjIAxAnrvacUf/nVlXCPp3BqqSYyBRUlJY8gVE0CA
/s5olwoW6yisVq2vysxBjwanGQEDBPTe03R6HFkyGRRLRVYVNcLHgaYCSm4jXgQ8S1+TRatlgq7M
HPRocJoRiIGA3ns6bcH58MAh6p53DTEWgbPTgoDu761a3wEzBz0anGYEekDAZoN6FYBM/yrTEpwv
eEY0yYKZGIFMI8DMIdMrwP1nDQJ68RKa+aU0OJ9UBrJIKWv+HHJ+oMwccn6JeYKpREAvXuLgfKlE
ltsyGwLMHMy2Ijwe0yOgD87HZ0+bfrl4gEkiwMwhSeC4Wn4jYLWLuEeNiAKfPZ3ffwo5O3tmDjm7
tDyxdCJA4iUFz3wQfaB5K5/9kE60ue1MIMDMIROoc585gYDee5rFSzmxpDwJHQLMHHRgcJIRSBQB
8p7GOixeShQ4Lm96BJg5mH6JeIBmRiBSvJRG72kzw8Bjy0EEmDnk4KLylPoXAb14KW3e0/07Je6N
EeDwGfw3wAikAgF9cL60eE+nYpDcBiOQAAK8c0gALC7KCMRCIJ3e07H65HxGIJ0IMHNIJ7rcdl4h
wN7TebXcOT9ZZg45v8Q8wf5EQO89HXmyVn+Og/tiBPqKADOHviLI9RmBCASC3tN49ENqg/NFdMO3
jEBaEWDmkFZ4ufF8RIDFS/m46rk3Z2YOubemPCMTIKAXL7H3tAkWhIeQMALMHBKGjCswAvEhwMH5
4sOJS5kTAWYO5lwXHlUOIMDe0zmwiHk8BWYOebz4PPX0I8De0+nHmHtIDwL29DTLrTICjIBEgLyn
0Wu6mqyXFL+lFvNr5DO+pggBqx2cU04Bi7MIlJ2N4Fv7SYoazr5mbMMngL1yCoCigPer/4La2ZzU
JHjnkBRsXIkRiB8Bvfc02rfOSVlwPht+29kcAJYk/42pHtWndiLINmQvKDj8x+LHUjww4qn5bq2l
Q6Bk9p1QfPLNUHjiDeYbYD+OqOCQ8xGHW6D41P8De9X0pHuO/qtIuimuyAgwArEQIAaBTOFiDMz3
RDA4Xz3lxSrfW37R6bdDwYyzRDEVvxB9qz+A9udvAQj4e6sqnhefOReck/FL29rNWNyLnofON+7V
6haffRfYR0zsvkcG4v7g79ozTuQHAkl+cuQHODxLRiCVCNhsUK8CLMQ2K/sanM+h+yKkF7xzQjU4
J50Y13DtYw4E19TTNMZAlex77hdW11I4IHRvQYEYU94hwMwh75acJ5wpBPTipXR4Txcc+IO4pkZi
h97Iu/wNUNp3gX/bGvA3LumtOD/PQQSYOeTgovKUzIsAMQgV1IvFCPEM6lSePW0fdQDY9tinx8lb
y4aCY/xRPZahh13vPwLN9x0HrX86D/wNzBx6BSwHC7DOIQcXladkbgTIe3rX7VOrSTkd9J6u6suI
Azu+A1IgE7lQD9H55n0xm3Ph7sJitYnn/k1fg31kuDhJVrQUlIK1YhTqMAIQ2L4WLV8C8lH41VUM
9j32BuvgKizrg8CuRghsXgmgogAtSJbCcrAO2hPA58G21gGgRZFz3BFgKSwDpXU7+NZ9BuD3yuLa
1TpwT7ANGwdWVIgHdm8SdVXczSRD1Jd10EgcFw4T8QKfO6wZS/EgsKOVj3XgCFCavgf/lm9B7dgd
VkbeJDIfG2IDjgJQdm8EtasVjQcsIKyJRuyLc98BfsRKbd8pm455TWR8MRtJ8AEzhwQB4+KMQCoQ
IO9pBc1bsa1KZBR1eK3Fn6TI88W/oejEG0VdMufsfOcPUS8/8RCtklzTz9T6cH/+ApTEYA5FaPHj
mjZblG179ufgW/m+Vk8k7C4oOu5n4EIRFUafDXsWaNoMnW/9Dnyr6kV+0QnXhdp65joonv1LsJZU
aHU6sKzn039q98TACo/7KViRQUWSf+tq6HjpDgiguCtesg0dC6WX/A2shd3tdb47DxXsj4vq1orR
UPKDX0XpXOihf+OX0P7CraA0bw7rKt750C6t/NoXRF335y+iee2nUHzGHWAt0ulz8KkHRXgdr95t
zCCTGF/YYPtww2KlPoDHVRmBZBEg8ZKCYiVRH3cQ7S/edkiybXm//UDoB6g+vVCd+x1n2JRz4rH4
Uh4kntGLL7BllWE5kak3j414+ZP5a9mVT0PBoRdEMQaqa8Ov75Lz78edQXl3+7q2Si98OIwxUAHV
3R4sZxH1ik/7hSFjoEJ23EmUXfkMOPY9urtOL7+tA0ZA6Y//pDEGpasNvCsXiFr2vQ+G8qufNWQM
VMA+ahKU/eRZ3BWNCe8l7vmEXq+kDyo5/3dRjIEadqHVGDGNSEp6fJENJXkfGn2SDXA1RoARSA4B
vfe0f9NXv0uuFayF4hzPste16gUHnq2l9QnXwedpt/QlmywVHPojsA8N6TZo50K7C2RwKCJaJJol
0ZXFVRSzC9/az6ALv959332O4pYWUc45+VRwTjxGq0Nl2l+8Hdr+cQN0LfgrqEFRkMXugKKTbur2
0dBKRyfIP6N0zp/BWjpYPCTG0PbU1aDsWI9c1I5+ALei01yheEaK97anroXmh86AtuduFuIuekDM
tujYa0SZnn4ZzSeyPO2wFHRIc3/yD7FToF2QJOf+J4C1fJi8Tfn4Qg3Hn2KxUvxYcUlGIOUIkPc0
ipdqUKZf2ZfG6QVdeMQc0YRUTAtdQbBRkt07Rk8WdwrKvslz1jY4iS5Rfl541CXaULvqHxPKa5nh
XfEWOA84SbzoSKZuRMSYOl/7dfgj3I0UHnO1lkfMruOVWtxWKCLP9+1CZCSLoLTmUbBgWduA4UJE
5vnfv7Q6YQnUa5ReNA9sKJYhkowh8P034t41fbb2LIBio9a/InZB5kP6gVbUS5Rf84Iw93VOPBos
ZXuAivoRIzKcj0HBQMtWaHv8CtRpbBJPvV+/A+U3vCF2NRYU+dG6ebEMUSrHJxpM4hfvHJIAjasw
AqlCIEy81IdGFVQE+xqXai24InYP+l2Dd+lrKN/2aGUTSdgqKsFSUCKqqJ4O6Pr4qajqxCDcHz6B
b+Rohzz/5m/CnO1kZRvuRGzBL2cVd0Kd7/xRYwyyjB/n50MRmiT7yP1lMuxKzKP0gt+jE9++Ij+S
MVCmfcwMrY77wzqNMchM2l34138ub5GRGDPSWPPRKgYTxJDbHr9cYwyUTeI038r3tKIW9PKWlKrx
yfaSufLOIRnUuA4jkEIESLzU8tcpD2OT1/WlWc8Xr4Cjcqpowjn5ZOj8LzaJX8P0MnfpHOTci19K
uhsbWTAFybdhGWpTO+RtXFf3R08bWj7ZBoXa9W9YDmqb8a7D+80CTfRE1kxGRLsFuWOg5yRKkjsG
WV7fn2vaGYZ6B3sQS6pDVkywXtYOXWPNJ1SiO6XgfMgKKpICzVu0LCtaVElK1fhke8lcmTkkgxrX
YQRSjIBz4pGkBOgTc/B+/S6oGFOHmIFQTO9/PHiX/gecU8/QZOu+9YsxMF1D0qO36l7isV7gPTWu
GuwmqLwwMw1WVIKiFaN2aLciyeJwyWTMq0rhRPy+qOf6ly95h0d6iEdWoN2IEcWaj1FZozxNGU8P
dYr/VI3PqM9485g5xIsUl2ME0ohAweGXdAui+9IH7hI8KNIpOOgc0QrFXiLmIO8p09MHRbRoVB+k
z2ITWSn5pbMAirc9i73AsCi9cOmlTSajJMsny6nWRy8E1RO0ioqo5d+4AhXF3UrxiEfiVvV2ojjr
Q6NH/ZKXqfExc+iX5eVOGIH+QcCz5FWNGZCCs+DwizQRi9K+G7zfvN+ngSjN3QpTasSKStpUkaIX
r6D5aSySlkf0PICKYyMKtG6DrrcfhJKL/ihMbUnEVHzWXGh/Fi2cghRAEY99+HhxR34PftxRmYnM
MD5WSJvpL4LHwgj0EYEAKnz1JpJFJ9ygtehZ8m9DJbFWII6E0hySm5NMPlXhvKUFDw3BPnoKMp6h
hqNxTjlVyyerolhE5zm4F/5Ne+zcd5YIPy4z9P05xh4hs01zNcP4mDmY5s+BB8IIpAYBUkxHEoX1
9vRBES3bC2xbq/M3cELR8deHnydBntMn3gRlVzwNVjQ3jZf82C5ZFRFRlNmi025FLuEMq06e09Ic
V8XwHJ4Vb4c9j7zpWvCo5ndBzwqPvRYPwZkmipHSWxKJ3cjU14gobIVez2JUJh15Zhgfi5XSsbLc
JiOQQQS8y98UL229wpZCN+hFN8kOj+IDuRf9C30qfiyaoNDf5C8hnN/QB8I1CZ25yCcAmZEaKx6T
UeeoaCbz16LjfyaeOjE4YNkVT4EfneSIyDLJuW+1SNMv8tOgXVKPhAyk/cVfCC9oGpPQP5z7W2h5
5AJwo38Ehf6woQiLHOGImXkwnIgfvcZVT6fw8nbscxjY9zpImJ+2PDy7x65S/dAM42PmkOpV5fYY
gQwjoLopRMT74EJnNEn04ksVuT+qA+f4IzHYX3dYCdJt0E8YkR8F+iskQu7PngXH2MPAEfRBoFAZ
9BNJpKDtfPuByGzDe7WjScRHKq35i2AOpLMoOfseaHvyauGIV3LuvejJXQzkdV1w6A8N28hIJgYi
JEfBTI6PxUoZWXnulBHoGwJq0IlNfKEbnP5GVkn0jIgimvpWfxTVoYovIBLPEKkYMVVPYfcRDnN0
JnHLoz8C0mHQV7aeVDQb9X7zHj5H6yB8MRP11Ja+LjnmtdVdCZ3zHwKlZVvYI7ohJS15ZLf+/dIo
PwhynJPzlZ7OsgFynhM+H8EMCrZH5FvzCbTMOwe8q+pB9XYFn4YuNG7vmo+h4/XfhDIxFe98ehqT
1qAO27B2sUC6x6eNIUYiPJxijEKczQgwAulFAF/SVdjDehL9ND9wSu+dYWwg8mcQ8YaCYR+iKqGY
x4I/wpY+hn8BoEjFgnoC2m2EheVGm3sROA/rhdniR3VCPgqjhH6B2gjsbECZT8SLNoG29M1bXOiv
gbsT0kEEtq2LaYqq1dHmgiarRvOVz9E01TBEePlwnAs61iGjUZCxCac1I9FYIvORfVJwQaMx4eAp
PDpOUosxpc0nImFNx/iwDwpOOODG16m3Roz/VEUJImYO3Tjwb0YgowgkzBwyOlruPJcQiMUcWKyU
S6vMc2EEGAFGIEUIMHNIEZDcDCPACDACuYQAM4dcWk2eCyPACDACKUKAmUOKgORmGAFGgBHIJQSY
OeTSavJcGAFGgBFIEQLMHFIEJDfDCDACjEAuIcDMIZdWk+fCCDACjECKEGDmkCIguRlGgBFgBHIJ
AWYOubSaPBdGgBFgBFKEADOHFAHJzTACjAAjkEsIMHPIpdXkuTACjAAjkCIEmDmkCEhuhhFgBBiB
XEKAmUMurSbPhRFgBBiBFCHAzCFFQHIzjAAjwAjkEgLMHHJpNXkujAAjwAikCAFmDikCkpthBBgB
RiCXEGDmkEuryXNhBBgBRiBFCDBzSBGQ3AwjwAgwArmEADOHXFpNngsjwAgwAilCgJlDioDkZhgB
RoARyCUEmDnk0mryXBgBRoARSBECzBxSBCQ3wwgwAoxALiHAzCGXVpPnkrUIWCyWBhz8QuuA4eAY
MyNr58EDzz4EXFNPk4Oukwm6MnPQo8FpRiCzCDRQ99YBIzI7Cu49rxCwDtT+3hr0E2fmoEeD04xA
ZhGop+4LZ12Z2VFw73mFgGuKtnOo10+cmYMeDU4zAplFoB67F6Kl4rPmZnYk3HteIFB2yWNynguD
ok15DxYtxQlGgBHIOAKqqlbhINYrrdsCvu/+Z+t4+c6Mj4kHkJsIEGOwV00Xk0PGEMULojJyEwae
FSOQPQggg6jB0T5BI1aat0DHK3dCoGkzpjdTFhMjkDQCpM8ig4fiM2v1bcxC3lCvz6A0M4dIRPie
ETABAsEdRB0OZaYcDjEKJkYgWQTIEi6CFiJTqI7I026ZOWhQcIIRMBcCQQZRjaOqAVUdAxbLaHON
kEeThQg04pjr6QcZQx1eY9L/B7zbtoF2GYrnAAAAAElFTkSuQmCC
iVBORw0KGgoAAAANSUhEUgAAAZgAAAF5CAYAAACiIzxyAAAAAXNSR0IArs4c6QAAAIRlWElmTU0A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Fuente: Elaboración propiaArquitectura ágilCon las nuevas metodologías de desarrollo, nace la arquitectura de software ágil, esta está alineada de igual manera con el manifiesto ágil, sus principios y objetivos, este tipo de arquitectura es evolutiva, lo que quiere decir que a medida que evoluciona el proyecto la arquitectura de software lo hace de igual manera, si a medida que avanza el proyecto los cambios funcionales requieren el uso de componentes externos por ejemplo, la arquitectura debe adaptarse en función de satisfacer esta necesidad, estableciendo la forma en la que la aplicación interactuara con el mencionado módulo, esto puede ser por una nueva capa de comunicación brindando el desacoplamiento suficiente para hacer el módulo reemplazable de ser requerido (Yong, 2021).La arquitectura ágil busca seguir tres principios, según lo expuesto en la figura 5:Figura 5Principios de la arquitectura ágil Diseño para evitar daños en lo ya implementadoSer coherente y evitar laincomprensión entre componentesDebe estar completa y unificadaFuente: Elaboración propiaLos tres principios expuestos deben estar alineados de tal manera que el producto final cumpla con las expectativas y requisitos del cliente, en el caso de cambiar las necesidades del cliente, se vuelve a iterar todo el proceso hasta lograr una satisfacción plena con el resultado, siendo la refactorización del código un tema clave en este tipo de metodología. Es totalmente correcto afinar detalles en cuanto a la arquitectura en el ciclo de vida del desarrollo, ya que no importa cuán bien se crea que se encuentra estructurado el desarrollo, la misma interacción con las partes interesadas en el proceso hará que dicha arquitectura tienda a modificarse leve o incrementalmente; esto no quiere decir que no haya existido software que se haya desarrollado tal cual se presentó en la infraestructura inicial; sin embargo, eventualmente dichos proyectos se cancelan, si cuenta con gran documentación, pero no con un sistema en funcionamiento óptimo y exitoso, toda la documentación es inútil, en este mismo aspecto se debe tener cuidado con las denominadas arquitecturas de torre de marfil, ya que las mismas son creadas por arquitectos en relativo aislamiento del equipo de trabajo, fueron infraestructuras aparentemente bien sentadas y documentadas, pero lamentablemente no siguieron el adecuado proceso ni mucho menos se consideran los principios del manifiesto ágil (Miyachi, 2011; Nord & Tomayko, n.d.; Yong, 2021). Migración de arquitecturasCuando se tiene aplicaciones legadas que continúan siendo de utilidad, es común encontrarse con la necesidad de realizar nuevos módulos o adaptaciones a los ya existentes, generalmente la primera idea es el cambio de software, pero esto no siempre es óptimo, ya que el software legado puede tener un core bastante ajustado a las necesidades de la empresa, algo difícil de encontrar en el mercado ofertante de soluciones de este tipo; por consiguiente lo que se busca es la actualización del software y la adaptación o adición de las nuevas funcionalidades, para esto se requiere un análisis minucioso en el cual se debería estudiar inicialmente la variación que va a sufrir la arquitectura del software.La migración de sistemas heredados a una nueva arquitectura de software puede ser muy fuerte e invasiva, siendo la arquitectura más común la monolítica. Si se desea la transición de una arquitectura de software monolítica hacia una basada en microservicios, se debe considerar incluso la afección en la abstracción de la aplicación (da Silva et al., 2019; Wang et al., 2005). Después del análisis del estado inicial a la arquitectura heredada y listos para la migración se plantean varias preguntas que ayudaran en este proceso: ¿Cuáles son los pasos efectivos para la migración? ¿Cuáles son las características del software que deben llevarse a la modularización, y cómo migrar las mismas? ¿Cómo migrar las mejoras? Posterior al análisis y la resolución de estas preguntas, se puede denotar que no siempre es mejor o más optimo realizar la migración entre arquitecturas, esto puede deberse a una serie de factores como el costo del cambio, la adaptabilidad del proyecto a la nueva tecnología, la vida del proyecto después del cambio, incluso cuando los enfoques de la nueva arquitectura posee reconocimientos a sus bondades, se puede tener como resultado del análisis que el cambio no es idóneo, sino en su lugar se podrían modularizar ciertos componentes y mejorar utilidades del software legado (da Silva et al., 2019). Diseño de la arquitectura del softwareAl momento del diseño de la arquitectura de software, es importante analizar en los requerimientos los aspectos importantes como la seguridad, privacidad de los datos y el sistema en sí, el realizar pruebas de latencia, estudios de concurrencia, evaluaciones de disponibilidad de la infraestructura, tazas de transacción y cualquier riesgo que se pueda presentar durante el desarrollo del proyecto, así como durante la vida del software en sí. Con respecto a la arquitectura del software, cabe estimar los siguientes seis aspectos(Garlan, 2014). Comprensión: La arquitectura de software ayuda a comprender sistemas de gran tamaño al mostrarlos en un nivel de abstracción muy entendible. Reutilizar: La arquitectura permite la reutilización de componentes, marcos, bibliotecas y complementes a lo largo del sistema, lo que hace que sea mucho más fácil su mantenimiento. Construcción: Establece el esqueleto principal de la aplicación denotando los componentes principales y como estos interactúan entre sí. Evolución: Por medio del diseño arquitectónico se pueden establecer los lineamientos de expansión del software que lo comprende. Análisis: Las descripciones arquitectónicas dan paso al análisis, así como al a validación de la coherencia del proyecto. Gestión: El correcto diseño de la arquitectura de software ayuda a la evaluación crítica de la misma, y guía al establecimiento de estrategias de implementación a más de evaluar los potenciales riesgos lo que se traduce en una menor refactorización del código. En base a estos aspectos podemos decir que gracias a una buena arquitectura de software es posible modularizar de tal forma que se use la persistencia de un proveedor, la vista de otro, un marco de desarrollo de otro y así sucesivamente, gracias al desacoplamiento establecido en el diseño, y lograr que todo funcione en perfecta armonía. Es útil el tener presente la diferencia entre estructuras de codificación y estructuras de tiempo de ejecución, la primera ayuda a razonar sobre el mantenimiento y el costo de la refactorización, en cambio la segunda es útil para evaluar características como el rendimiento, la escalabilidad y la confiabilidad. Es importante recalcar que no hay reglas ni consejos generales para todos los proyectos, aun habiendo muchos intentos de formalizarlos con miras a llegar a la excelencia(Jaiswal, n.d.), por lo tanto, lo que determina el éxito en el diseño de esta es la práctica y experiencia de los ingenieros al momento de la concepción de una arquitectura como solución a un sistema (Oyedeji et al., n.d.). El desarrollo de las arquitecturas sostenibles es de alguna manera un paso en la evolución de las mimas, reduciendo el impacto negativo que pudiese surgir con el tiempo y malograr el software, para eso la implementación de estándares y buenas prácticas es un punto obligatorio.Lamentablemente al momento no hay una buena guía para el desarrollo de una arquitectura sostenible en la cual se indiquen las medidas a tomar para lograr este objetivo. Lo que si se tiene claro es que la sostenibilidad se la debe aplicar desde el levantamiento de requisitos, (para lo cual se dispone ciertas plantillas que ayudan en este punto), hasta el fin del ciclo de vida, por medio del involucramiento de los usuarios y desarrolladores hacia este estilo, compartiendo inclusive compromisos emocionales. En un proyecto en el cual los requerimientos atraviesan por cambios constantes, es ideal la aplicación de una metodología ágil. Una de estas alternativas es implementar XP, por lo que las decisiones de cambio pueden afectar los conectores, configuraciones, o componentes de la arquitectura, pero por medio de la XP se van afinando continuamente, esta es una metodología ágil y de esta forma no representara un costo de refactorización posterior (Nord & Tomayko, 2006). En la actualidad se ha creado el paradigma de sistema de sistemas (SOS), es un sistema orientado a integrar algunos sistemas legados con otros actualizados y con diferentes dominios, orientando los recursos y capacidades en pro del éxito de la integración (Mohsin & Janjua, 2018). El gran desafío que esto implica, es el diseño de la arquitectura dinámica, intentando prever las conductas imprevistas en ejecución, por lo que los SOS, generan acoplamientos tolerantes y la interoperabilidad. Para esto se plantean cuatro tipos de modelos: •Modelado de arquitectura estática •Modelado de arquitectura dinámica •Reconfiguraciones de tiempo de ejecución •Representación de atributos de calidadResultados y discusiónPara realizar una propuesta adecuada de una arquitectura de software, es necesario basarse en las características que la misma debe tener, se han listado 8 de estas consideradas aplicables en el software universitario.Usabilidad, Escalabilidad, Mantenibilidad, Fiabilidad, Extensibilidad, Rendimiento, Disponibilidad, ObservabilidadLas características indicas fueron evaluadas cualitativamente, por el grupo de desarrollo en base a las necesidades institucionales, llegando a un consenso total, como resultado se priorizaron: la Usabilidad, la Escalabilidad y la Mantenibilidad, para cada una de ellas se determina como se debería adaptar el software o proceder para hacer más robusta cada característica.Usabilidad: Para mejorar la experiencia de usuario se debe inicialmente contar con una guía de diseño del sistema, en el cual se indiquen las reglas generales de usabilidad y sus buenas prácticas, así como: la paleta de colores, tipografía y demás elementos, de tal forma que los desarrolladores del sistema mantengan concordancia en la elaboración del producto; el rol de las reglas de diseño en un factor clave ya que estas determinan la carga visual, la forma de construcción de los interfaces, etc.Escalabilidad: Siendo esta la capacidad que tenga el sistema para la adaptación a un nuevo cambio así como el crecimiento del mismo de forma efectiva, se debe estimar el software como tal y la infraestructura que este soporta, siendo la última la menos compleja de atacar, la aplicación debe reposar en una infraestructura que pueda escalar horizontalmente y bajo demanda, encontrando puntos de operación óptimos en cualquier proceso en el que se encuentre (Ej: época de matrículas en la cual el sistema tiene un alto grado de concurrencia por parte del estudiantado), por el lado del software institucional debe tener la posibilidad de implementar nuevas funcionalidades sin que el sistema pierda operatividad en desarrollos anteriores, siendo para esto un requisito el desacoplamiento y la modularidad.Mantenibilidad: Con la constante expansión que sufre el proyecto por las diferentes circunstancias, el mismo tiene que ser de fácil mantenimiento, sabiendo que la tarea de mantenerlo puede no ser de quien hizo la implementación inicial, por tal razón, la forma de desarrollar debe ser estandarizada, homogénea y transversal para todos los desarrolladores.PropuestaEn base al análisis realizado a las arquitecturas y a la literatura se propone una arquitectura en capas modularizada en dominios, potenciando la reutilización de componentes aplicando conceptos de arquitectura basada en servicios y un uso adecuado de la segmentación y segregación de las responsabilidades de cada capa.Modelo de aplicaciónFigura 6Arquitectura PropuestaiVBORw0KGgoAAAANSUhEUgAABkIAAASKCAYAAAACFXJhAAASKnRFWHRteGZpbGUAJTNDbXhmaWxl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Fuente: Elaboración propiaEl modelo planteado en la figura 6, puede ser replicado por cualquier software independiente del lenguaje o framework que se use, de igual manera con esta estructura se puede lograr una arquitectura distribuida en dominios replicando el mismo modelo en proyectos independientes, la interconexión del mismo puede ser por medio de un bus de eventos o un API GATEWAY que sirva de enrutador de las peticiones, sin embargo por medio de librerías como AXIOS, la parte del front se puede conectar a n proyectos de back por medio de la instanciación de la misma usando diferentes parámetros de conexión.Como se puede observar en la figura 6 el Back-end propuesto se basa en un modelo de capas, con la ventaja de un desacoplamiento entre las mismas, la capa de infraestructura se comunica con la aplicación legada, la ventaja de tener un ORM a más de la facilidad de la comunicación con la base de datos es el desacoplamiento al dato por medio de los modelos, sin restar importancia que se pueden separar los modelos en diferentes esquemas y yendo un poco más allá en varios motores de bases de datos, haciendo de la aplicación un ente completamente agnóstico a cualquier herramienta que se pudiese usar para las soluciones que se brinden. Escalamiento HorizontalAplicaciónCon miras a dar solución al escalamiento horizontal, la aplicación puede ser llevada a servicios IaaS como el de AWS, AZURE o GCP, en estos se tiene la facultad de replicar servidores virtuales de la aplicación, incrementando de forma paralela, el ancho de banda, memoria RAM y demás recursos que se pueden saturar bajo la alta concurrencia de los usuarios, para equilibrar dicha saturación y con la replicación de instancias se puede usar como puerta de entrada un balanceador de carga para que se distribuya el tráfico equitativamente entre los servidores, compartiendo así el estrés que pudiesen llegar a tener.Base de datosLas bases de datos pueden tener un escalamiento horizontal, dividiendo la escritura y la lectura de sus datos, para esto se necesita de una base de datos principal y las réplicas de las mismas, siendo estas últimas usadas para la lectura de datos; por medio de varias herramientas como MaxScale, ProxySQL y MySQL Proxy se puede lograr el balanceo.Segregación de servidores por funciónArchivos estáticosPara que los archivos estáticos propios del giro de negocio de la instrucción, no afecten el rendimiento ni costos al momento de la replicación de instancias, se recomienda el uso de un servidor dedicado para los mismos, con acceso único desde la aplicación. Aplicación – Front/BackAl realizar la arquitectura distribuida en dominios, se puede separar el front del back, y a su vez el back en los n dominios que tenga la institución, siendo cada uno de estos proyectos del back desplegables en un servidor único, incluso en un lenguaje diferente si se requiere, esto se traduce en un desacoplamiento modular que serviría para el escalamiento bajo demanda para cada uno ellos o a su vez remplazo con mayor facilidad de ser necesario, y un escalamiento, aminorando costos y esfuerzos por parte del equipo.Base de datosEl servidor del motor de base de datos estará alojado de manera única e independiente en un servidor, a este al ser independiente se le puede implementar reglas de seguridad más estrictas ayudando a la seguridad de la información, de igual forma con sus réplicas en el caso de tenerlas. Cabe recalcar que la redundancia de la información en una base de datos en espejo es ideal para solventar posibles inconvenientes.Arquitectura de la aplicaciónCon base a lo anteriormente descrito se propone la siguiente arquitectura de aplicación como solución al sistema de la universidad, indicada en la figura 7.Figura 7Diagrama de la arquitectura de la aplicación (propuesta)iVBORw0KGgoAAAANSUhEUgAAAwMAAAMXCAYAAABmZYmuAAAL23RFWHRteGZpbGUAJTNDbXhmaWxl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Fuente: Elaboración propiaConclusionesUna de las conclusiones relevantes es nunca buscar la mejor arquitectura, sino la más adecuada, intentado abarcar la menor cantidad de características para asegurar en cierto grado el éxito del software.En las arquitecturas agiles, se puede tener una gran cantidad de versiones de la arquitectura, en la cual pueden cambiar algunos factores como el dominio, las capas, los conectores, y esto en base a los requerimientos de cada iteración. Como indica Da Silva en su experiencia, no toda arquitectura es óptima para todo proyecto, cada una viene concebida en base a los requerimientos no funcionales y demandas del cliente sobre el funcionamiento y demás aspectos dignos de la misma. Sin una arquitectura limpia el proyecto puede verse complicado en fiabilidad, costos de mantenimiento, dificultades para la integración de nuevo personal, desempeño y demás situaciones que comprometen todo el sistema. No se encuentra literatura específica que determine la mejor arquitectura de software para cada proyecto, esta se define con el conocimiento y experiencia del analista o encargado, los diferentes ciclos de vida del software pueden comprometer la arquitectura, así como el desconocimiento de la misma por parte del equipo de desarrollo. Existen sistemas que están diseñados para cambios imprevistos en ejecución, y estos deben ser resilientes al cambio o a los mismos imprevistos, para este tipo de paradigmas (SOS), existen enfoques que pueden ayudar en su modelado y concepción. En base al análisis de lo que son las arquitecturas de software, se puede decir que dentro de la universidad no se ha analizado hasta la fecha la arquitectura del software en sí del sistema sino más bien el diseño.El escalamiento horizontal ayuda de gran manera cuando la aplicación posee un alto número de usuarios concurrentes.Referencias bibliográficasda Silva, H. H. S., Carneiro, G. de F., & Monteiro, M. P. (2019). An experience report from the migration of legacy software systems to microservice based architecture. Advances in Intelligent Systems and Computing, 800 Part F1, 183–189. https://doi.org/10.1007/978-3-030-14070-0_26Garlan, D. (2014). Software architecture: A travelogue. Future of Software Engineering, FOSE 2014 - Proceedings, 29–39. https://doi.org/10.1145/2593882.2593886Jaiswal, M. (n.d.). Software Architecture and Software Design. https://ssrn.com/abstract=3948301Le, D. M., Link, D., Shahbazian, A., & Medvidovic, N. (2018). An Empirical Study of Architectural Decay in Open-Source Software. Proceedings - 2018 IEEE 15th International Conference on Software Architecture, ICSA 2018, 176–185. https://doi.org/10.1109/ICSA.2018.00027Miyachi, C. (2011). Agile software architecture. ACM SIGSOFT Software Engineering Notes, 36(2), 1–3. https://doi.org/10.1145/1943371.1943388Mohsin, A., & Janjua, N. K. (2018). A review and future directions of SOA-based software architecture modeling approaches for System of Systems. Service Oriented Computing and Applications, 12(3–4), 183–200. https://doi.org/10.1007/s11761-018-0245-1Nord, R. L., & Tomayko, J. E. (n.d.). Software Architecture-Centric Methods and Agile Development.Oyedeji, S., Adisa, M. O., Penzenstadler, B., & Wolf, A. (n.d.). Validation Study of a Framework for Sustainable Software System Design and Development.Richards, M., & Ford, N. (2020). Software Architecture an Engineering Approach.Wang, J., Song, Y.-T., & Chung, L. (2005). From Software Architecture to Design Patterns: A Case Study of an NFR Approach.Yong, D. (2021). Design and Practice of Software Architecture in Agile Development. Journal of Physics: Conference Series, 2074(1), 012008. https://doi.org/10.1088/1742-6596/2074/1/012008 Conflicto de intereses:Los autores declaran que no existe conflicto de interés posible.Financiamiento:No existió asistencia financiera de partes externas al presente artículo.Agradecimiento: N/ANota:El artículo no es producto de una publicación anterior, tesis, proyecto, etc.Vol.6 No.3 (2022): Journal Scientific iVBORw0KGgoAAAANSUhEUgAAACAAAAAgBAMAAACBVGfHAAAAAXNSR0IArs4c6QAAAARnQU1BAACx
jwv8YQUAAAAwUExURQAAAACAAAAAgACAgIAAAICAAIAAgICAgMDAwAD/AAAA/wD///8AAP//AP8A
/////38+NqYAAAAJcEhZcwAADsMAAA7DAcdvqGQAAADCSURBVCjPXZDBDYAgDEW7QZfyaMLSPZIw
AXGFHjhi6m8RIaISfT5oP2S/QUqYY/oAY6a7xsCrBeDx+74cEFbwMKxeE0wBAP777UIYjNtyDsEN
xSJrx5FccIP9kpxPswBQ8EjpE7zGAv8sm0FebTdQjsJQG4YD3sMpW4DIIiVlAGXSANgqdTNeQMrR
NQp+NZo3sYAU6W/ZcTJSTt9jNdaSeLEJ7mq5nYhNe+uS6AN+5tbLz4jom1Ev7KG/+J5lM3awtAeW
23j29yWEmQAAAABJRU5ErkJggk==
Investigar ISSN: 2588–0659https://doi.org/10.56048/MQR20225.6.3.2022.1564-1584iVBORw0KGgoAAAANSUhEUgAAAFgAAAAfCAMAAABUFvrSAAAAIGNIUk0AAHolAACAgwAA+f8AAIDp
AAB1MAAA6mAAADqYAAAXb5JfxUYAAAAEZ0FNQQAAsY58+1GTAAAAAXNSR0IB2cksfwAAAW5QTFRF
////////////////7+/v39/f1tXV09bS0tXS0tXR0dTR0dTQ0NTQ0NPPz9PPztLOztHNzdHNzdHM
z8/PzdDMzNDMzNDLzM/Ly8/Ly8/Ky87Kys3Jyc3Jyc3IyMzIyMzHx8vHxsrGxsrFxcnFxcnExMnE
xMjDw8jDxMfDw8fCwsfCwcXAwMXAwMW/wMS/v8S+v8O+vsO+vsK9vcK9vcK8v7+/vMG8vMG7vMC8
u8C7u8C6ur+6ur+5ub65ub64uL23t7y2tru1tbq0tLqztLmzs7iysrixsrexsbewsbawsLavsLWv
r7Wur7SusLOvrrStrrOtr7KvrbOsrLKrr6+vq7Gqn6OenqCdn5+flpmWk5iTkZSRkZORj4+PiYyJ
hIaEhIWEgoWCgICAfX98fH98eXx5cHJvcHBwYGBgXV5dUFFQUFBQQ0RDQEBAPj8+NTY1MjMxMDAw
KSkpKCkoICAgGxsbEBAQDg4ODQ4NAAAAlzoSDQAAAAN0Uk5TAAoO5yEBUwAAAvhJREFUeNq1lutX
2kAQxWmXFDVGYy1EIjQ2VZDiu1CsRQQURYvV+qSKj6II8rANYOT+9z0JqIASo9Y5ydkP2f2d2Ts7
d2N4jRcJgwEIBwO+SbdTFGw8ZzZz1n5BdLgnfLPBcCT6fW1jY3P78QEYEA76PWMu0W5lGbrNZGrr
YNg+u+ga9fgVcmxtY/NJZAOCfs+IY4Bn6eN8RdlEJX9Ed1uFIfdnfzC8uBJbv5tyqqhMLKa0wQHP
iEOwMInLW4Eu9xmzfdDtmQ0uLK3cSXmvBBTS6QJQ2tMC+8YcgpnOApAzSa83mZEBZIff2odGfYFQ
JNqc8s4VchQhhFA5XO1pgCddAxaFKyeNpBpxGSgNmwXXxMxcWE25fkkJGUIIoExESQPsFnkmC0gU
uQmjBGQZq+j2BEKR5dUGLVLIvbkGkxxSrcHO92wCkIyENJL3u+2O8Zng/FJsvR5cRF0GFIqtwaKV
voTcSxrCKOOS7hPdXwLhxUYtUFC+Z6AKQgpoDRZ6joEkaYo4cMQKril/KLLcCE4TVYmqFmkNsK0r
D9lIiDdXKCSrwwEhREae6Ve0WIiuPg3M0xVlW171BBe21CGjbLbSYR0c/To3H409TQquHTggREKZ
8pbjEiRqqxxXtWjjRLdvLrzUAK4Vr5qwZvEsJsCrzExWF9Tk9gIm84e74BRyRN9xeyS4vkHSmg1y
K4Wxt5yUIClDayn0t3SteLWq3RQvjQrN31O87e2dEiBl0tJDJmTrykImN8dtq6AOpIw8Y3OMf2s+
bvptU+hJqFrc1yCfpmZDkWYX0mv0H9WWpvS2tH6w8z27e58JJVi7c2ImuNBkQvrBOOWZc0CqsyFK
tU3+97OuaQBnXGe90RuTMvCHtpziuWCcmDvPm64m+t2vlmuq/YHqqwnGCcfs1l+mCcbSmgtSe8iD
GQNnPEsnrq//fZrltXS4tk3oAOPvT2tPF91uMrXTDNv340JrjQ4hbsHAxeE0z1ksHD99eKFdl0dl
/P//Cl+9EPcfS+yBAoqk3eUAAAAASUVORK5CYIJ=
Vol.6-N° 03, 2022, pp. 1597-1617 Journal Scientific MQRinvestigar PAGE \* MERGEFORMAT19