19 research outputs found

    Virtually Speaking: How Digital Storytelling Can Facilitate Organizational Learning

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    Digital storytelling can be used as a tool in participatory action research. An organization developed to enhance teaching and learning in high schools used this method as a way to collect narratives from the rural community it served. The staff and students who participated in digital storytelling became researchers focused on the personal narrative. Digital storytelling was used to give voice to community members and also to explain policy initiatives that directly affected the community. Digital storytelling was a way for the organization to engage its members in a way that would benefit all stakeholders

    Increasing Public Health Mosquito Surveillance in Hidalgo County, Texas to Monitor Vector and Arboviral Presence

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    From 2016 to 2018, Hidalgo County observed the emergence of Zika virus (ZIKV) infections along with sporadic cases of Dengue virus (DENV) and West Nile virus (WNV). Due to the emergence of ZIKV and the historical presence of other mosquito-borne illnesses, Hidalgo County obtained funding to enhance mosquito surveillance and educate residents on arboviruses and travel risks. During this time period, Hidalgo County mosquito surveillance efforts increased by 1.275%. This increase resulted in \u3e8000 mosquitoes collected, and 28 mosquito species identified. Aedes aegypti, Ae albopictus and Culex quinquefasciatus made up approximately two-thirds of the mosquitoes collected in 2018 (4122/6171). Spatiotemporal shifts in vector species composition were observed as the collection period progressed. Significantly, temperature variations (p \u3c 0.05) accounted for associated variations in vector abundance, whereas all other climate variables were not significant

    Evaluación de desempeño de aplicaciones concurrentes utilizando distintos modelos de paralelismo

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    76 p.El foco de este trabajo se encuentra en el corazón de la computación de alto desempeño, donde nuestro principal interés radica en optimizar códigos mediante diferentes técnicas. Al hablar de computación de alto desempeño son varias las alternativas que podemos considerar y evaluar para la resolución de problemas computacionalmente complejos que nos permitirán optimizar el uso de recursos y mejorar los tiempos de ejecución con altos niveles de eficiencia, una de ellas es la utilización de supercomputadores, cluster de gran tamaño o grandes redes de servidores que nos permiten principalmente ejecutar instancias más grandes, aunque con algunas limitantes, principalmente la poca accesibilidad a este tipo de plataformas o su alto costo de implementación. Otro camino es abordar el problema desde la codificación con técnicas de programación avanzada, tales como metaheurísticas o algoritmos genéticos que se basan principalmente en reducir los espacios de búsqueda. Ambas alternativas altamente eficientes no son parte de esta investigación, por lo tanto, para este trabajo nos enfocaremos en encontrar la forma de aprovechar al máximo el hardware del que dispongamos para lo que habrá que llevar la optimización de resultados a otras esferas, el camino que tomaremos será trabajar sobre el mejoramiento en el diseño de la solución dando énfasis en el modelo de paralelismo utilizado y optimizarlo para distintas configuraciones de hardware. Intentaremos resolver problemas cada vez más grandes con soluciones cada vez mejores y tiempos más razonables, mejorando el diseño del código paralelo implementado y utilizando hardware de fácil acceso. Intentare determinar si este camino nos lleva a mejoras considerables en los resultados y en las métricas de los problema que abordaremos, determinando si es o no un buen punto de partida para mejorar el trabajo de optimización desde los cimientos, para así realizar futuras optimizaciones utilizando técnicas más avanzadas de programación o usando recursos de hardaware más potentes para obtener mejores resultados con menor costo computacional. Para este trabajo se utilizó un cluster formado por dos nodos con memoria distribuida que permite la utilización de paso de mensajes entre ellos, además se realizaron pruebas en cada nodo por separado utilizando memoria compartida. Para realizar las distintas pruebas y medir la eficiencia de los métodos, trabaje con dos algoritmos recurrentes y conocidos en el área de computación de alto desempeño (HPC), el primero de ellos es el problema del vendedor viajero (TSP, del inglés Traveling Salesman Problem) que propone buscar la ruta de costo mínimo entre un conjunto de puntos. El otro problema es conocido como N-Cuerpos o N-Body, en este se busca la ubicación en el plano cartesiano de un conjunto de partículas en un tiempo ti debido a la fuerza gravitatoria que ejercen unas con otras. Con los dos casos de estudio se procedió de la misma manera, lo primero fue implementar varios algoritmos secuenciales hasta encontrar el mejor tiempo de ejecución, con este parámetro se paralelizó cada ejercicio para diferentes configuraciones de arquitectura, es decir, se realizó una implementación paralela con thread, otra con paso de mensajes y el tercer desarrollo es de manera híbrida entre las dos mencionadas anteriormente

    Rockport Comprehensive Plan

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    This document was developed and prepared by Texas Target Communities (TxTC) at Texas A&M University in partnership with the City of Rockport, Texas Sea Grant, Texas A&M University - Corpus Christi, Texas A&M University - School of Law and Texas Tech University.Founded in 1871, the City of Rockport aims to continue growing economically and sustainably. Rockport is a resilient community dedicated to sustainable growth and attracting businesses to the area. Rockport is a charming town that offers a close-knit community feel and is a popular tourist destination for marine recreation, fairs, and exhibitions throughout the year. The Comprehensive Plan 2020-2040 is designed to guide the city of Rockport for its future growth. The guiding principles for this planning process were Rockport's vision statement and its corresponding goals, which were crafted by the task force. The goals focus on factors of growth and development including public participation, development considerations, transportation, community facilities, economic development, parks, and housing and social vulnerability

    The GRAVITY+ Project: Towards All-sky, Faint-Science, High-Contrast Near-Infrared Interferometry at the VLTI

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    The GRAVITY instrument has been revolutionary for near-infrared interferometry by pushing sensitivity and precision to previously unknown limits. With the upgrade of GRAVITY and the Very Large Telescope Interferometer (VLTI) in GRAVITY+, these limits will be pushed even further, with vastly improved sky coverage, as well as faint-science and high-contrast capabilities. This upgrade includes the implementation of wide-field off-axis fringe-tracking, new adaptive optics systems on all Unit Telescopes, and laser guide stars in an upgraded facility. GRAVITY+ will open up the sky to the measurement of black hole masses across cosmic time in hundreds of active galactic nuclei, use the faint stars in the Galactic centre to probe General Relativity, and enable the characterisation of dozens of young exoplanets to study their formation, bearing the promise of another scientific revolution to come at the VLTI.Comment: Published in the ESO Messenge

    Kellogg Leadership for Community Change: Crossing Boundaries, Strengthening Communities

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    The KLCC initiative marked a shift from focusing on the development of individuals. It sought to actively engage citizenry in community issues and change. The vision of KLCC was to develop diverse community leadership that can work across boundaries—geographic, racial, cultural, age, class, or faith by mobilizing collective action to improve local conditions and the quality of life in their communities. Leadership, in this view, is not the purview of an individual leader, rather the collaboration of what leaders and followers do together for the common good. The KLCC initiative focused on the development of more than 25 diverse leadership Fellows in communities across the country. Each site was provided with technical assistance and opportunities to engage in evaluation within their sites and networking across a KLCC national learning community. The sites would learn and enact community-based, collective leadership as a developmental tool that is optimized in both a cultural and issue-related context grounded in the following core concepts: * Place-based leadership: Valuing the power of place, culture,and history * Crossing boundaries: Bringing together a full representationof the community to work together to move past barriers * Forming collective leadership: Helping the group understandand use their power as a collective force for sustaining change * Developing individual leadership: Helping individuals learn howto develop their own leadership that leads to collective action * Making change happen: Learning how to work together tobuild new relationships, create alliances, and influence change

    Increasing Public Health Mosquito Surveillance in Hidalgo County, Texas to Monitor Vector and Arboviral Presence

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    From 2016 to 2018, Hidalgo County observed the emergence of Zika virus (ZIKV) infections along with sporadic cases of Dengue virus (DENV) and West Nile virus (WNV). Due to the emergence of ZIKV and the historical presence of other mosquito-borne illnesses, Hidalgo County obtained funding to enhance mosquito surveillance and educate residents on arboviruses and travel risks. During this time period, Hidalgo County mosquito surveillance efforts increased by 1.275%. This increase resulted in >8000 mosquitoes collected, and 28 mosquito species identified. Aedes aegypti, Ae albopictus and Culex quinquefasciatus made up approximately two-thirds of the mosquitoes collected in 2018 (4122/6171). Spatiotemporal shifts in vector species composition were observed as the collection period progressed. Significantly, temperature variations (p < 0.05) accounted for associated variations in vector abundance, whereas all other climate variables were not significant
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