20 resultados para PARROQUIA SAN JOSE DE RARANGA

em Universidad Politécnica de Madrid


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El proyecto ha sido realizado dentro del Programa de Proyectos Fin de Carrera para el Desarrollo (PFCD), correspondiente a la IV Convocatoria. Se realizó en el marco del proyecto financiado por la Universidad Politécnica de Madrid,“Reducción de la vulnerabilidad alimentaria de las familias rurales de San José de Cusmapa”. Con el título de “Manuales técnicos para la elaboración dehuertos de patio sostenibles y trasformación de la producción”, elproyecto está formado por tres documentos, la memoria y sus anejos, presupuesto y manuales técnicos diseñados. Este proyecto no sólo tiene el carácter académico de Proyecto Fin de Carrera, sino también, educativo y humano. Es una herramienta para el desarrollo humano, que mediante la educación agronómica (uno de los objetivos específicos), trata de mejorar los índices de desarrollo (objetivo general). Durante el periodo de nueve meses(octubre 2010 a junio 2011) se realizó el trabajo de campo, mediante la recogida de información, aprendizaje de técnicas, ensayos, y otras experiencias vividas. Con los objetivos y el análisis de la situación actual se realizaron tres manuales técnicos, resultado final del proyecto. El primero,recoge las técnicas de elaboración de un huerto y los cultivos que se pueden sembrar. El segundo, está centrado en el control y prevención de plagas y enfermedades. El tercero se divide en dos bloques, el primero de conservación y trasformación de alimentos, de forma casera, y el segundo bloque la importancia de la dieta y la nutrición. Los manuales han sido diseñados para que estén al alcance de las personas que lo necesiten y de las cuales, muchas de ellas, han colaborado en su realización. El compromiso no solo es académico, sino también humano y emocional. El trabajo diario, los ensayos,los errores y aciertos, la convivencia con los beneficiarios y el aprendizaje continuo, me han permitido obtener una educación profesional y social, ayudándome a desarrollarme como persona.

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La formación matemática que se imparte en los diferentes títulos de la ETSI Agrónomos presenta características comunes a otras ingenierías pero también algunos rasgos específicos. Como en otras ingenierías, esta formación está vinculada en parte a la utilización de modelos físicos altamente matematizados. Además, el ingeniero agrónomo debe dar respuesta a desafíos que ponen en juego otras disciplinas, como las ciencias biológicas o las ciencias de la naturaleza. Estas ciencias muchas veces requieren de nuevas teorías matemáticas para alcanzar sus objetivos, lo que representa nuevos retos para las matemáticas tanto en el campo de la docencia como en el de la investigación. A modo de ejemplo, vamos a centrarnos aquí en el uso de una teoría matemática con importantes aplicaciones a los sistemas agroambientales. Esta teoría matemática es la geometría fractal, nacida a principios del siglo pasado.

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El proceso actual de convergencia entre instituciones universitarias europeas ha promovido los Programas Académicos en Inglés como un marco fructífero para su internacionalización con el fin de desarrollar la movilidad de estudiantes y la cooperación institucional dentro y fuera del EEES. El objetivo es alcanzar la Internacionalización de la Universidad a través de dos ejes de actuación: la mejora del nivel de inglés de los alumnos egresados y la captación de alumnos extranjeros. En España, la práctica totalidad de las Universidades Públicas ofrecen algún tipo de Programa en Inglés, existiendo una variada tipología de propuestas. En este contexto, se realizó un estudio para la implantación de Programas en Inglés en los títulos de grado de la ETSI Agrónomos de la Universidad Politécnica de Madrid. Para ello se analizaron las diferentes experiencias existentes en Programas en Inglés en las Universidades Españolas, haciendo especial hincapié en los estudios del ámbito agrario. Se evaluó la opinión de alumnos y profesores de la ETSI Agrónomos sobre tres cuestiones: interés en participar en un Programa en Inglés, tipo de programa en el que estaría dispuesto a participar y autoevaluación del nivel de inglés. También se examinó el interés de los alumnos de bachillerato y del mundo laboral, empresas e instituciones del ámbito agroalimentario, en los Programas en Inglés. Por último, se exploraron las implicaciones administrativas y necesidades de recursos que conlleva la implantación de un Programa Académico Universitario en Inglés. Las conclusiones del trabajo destacan la dispar oferta nacional en programas en inglés y en requerimientos lingüísticos a profesores y alumnos. Existe un gran interés tanto por parte de profesores y alumnos de la ETSI Agrónomos como de alumnos de Bachillerato por participar en este tipo de programas.

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Lacunarity as a means of quantifying textural properties of spatial distributions suggests a classification into three main classes of the most abundant soils that cover 92% of Europe. Soils with a well-defined self-similar structure of the linear class are related to widespread spatial patterns that are nondominant but ubiquitous at continental scale. Fractal techniques have been increasingly and successfully applied to identify and describe spatial patterns in natural sciences. However, objects with the same fractal dimension can show very different optical properties because of their spatial arrangement. This work focuses primary attention on the geometrical structure of the geographical patterns of soils in Europe. We made use of the European Soil Database to estimate lacunarity indexes of the most abundant soils that cover 92% of the surface of Europe and investigated textural properties of their spatial distribution. We observed three main classes corresponding to three different patterns that displayed the graphs of lacunarity functions, that is, linear, convex, and mixed. They correspond respectively to homogeneous or self-similar, heterogeneous or clustered and those in which behavior can change at different ranges of scales. Finally, we discuss the pedological implications of that classification.

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Soil tomography and morphological functions built over Minkowski functionals were used to describe the impact on pore structure of two soil management practices in a Mediterranean vineyard. Soil structure controls important physical and biological processes in soil–plant–microbial systems. Those processes are dominated by the geometry of soil pore structure, and a correct model of this geometry is critical for understanding them. Soil tomography has been shown to provide rich three-dimensional digital information on soil pore geometry. Recently, mathematical morphological techniques have been proposed as powerful tools to analyze and quantify the geometrical features of porous media. Minkowski functionals and morphological functions built over Minkowski functionals provide computationally efficient means to measure four fundamental geometrical features of three-dimensional geometrical objects, that is, volume, boundary surface, mean boundary surface curvature, and connectivity. We used the threshold and the dilation and erosion of three-dimensional images to generate morphological functions and explore the evolution of Minkowski functionals as the threshold and as the degree of dilation and erosion changes. We analyzed the three-dimensional geometry of soil pore space with X-ray computed tomography (CT) of intact soil columns from a Spanish Mediterranean vineyard by using two different management practices (conventional tillage versus permanent cover crop of resident vegetation). Our results suggested that morphological functions built over Minkowski functionals provide promising tools to characterize soil macropore structure and that the evolution of morphological features with dilation and erosion is more informative as an indicator of structure than moving threshold for both soil managements studied.

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Scaling is becoming an increasingly important topic in the earth and environmental sciences as researchers attempt to understand complex natural systems through the lens of an ever-increasing set of methods and scales. The guest editors introduce the papers in this issue’s special section and present an overview of some of the work being done. Scaling remains one of the most challenging topics in earth and environmental sciences, forming a basis for our understanding of process development across the multiple scales that make up the subsurface environment. Tremendous progress has been made in discovery, explanation, and applications of scaling. And yet much more needs to be done and is being done as part of the modern quest to quantify, analyze, and manage the complexity of natural systems. Understanding and succinct representation of scaling properties can unveil underlying relationships between system structure and response functions, improve parameterization of natural variability and heterogeneity, and help us address societal needs by effectively merging knowledge acquired at different scales.

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Important physical and biological processes in soil-plant-microbial systems are dominated by the geometry of soil pore space, and a correct model of this geometry is critical for understanding them. We analyze the geometry of soil pore space with the X-ray computed tomography (CT) of intact soil columns. We present here some preliminary results of our investigation on Minkowski functionals of parallel sets to characterize soil structure. We also show how the evolution of Minkowski morphological measurements of parallel sets may help to characterize the influence of conventional tillage and permanent cover crop of resident vegetation on soil structure in a Spanish Mediterranean vineyard.

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This special issue gathers together a number of recent papers on fractal geometry and its applications to the modeling of flow and transport in porous media. The aim is to provide a systematic approach for analyzing the statics and dynamics of fluids in fractal porous media by means of theory, modeling and experimentation. The topics covered include lacunarity analyses of multifractal and natural grayscale patterns, random packing's of self-similar pore/particle size distributions, Darcian and non-Darcian hydraulic flows, diffusion within fractals, models for the permeability and thermal conductivity of fractal porous media and hydrophobicity and surface erosion properties of fractal structures.

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The study of soil structure, i.e., the pores, is of vital importance in different fields of science and technology. Total pore volume (porosity), pore surface, pore connectivity and pore size distribution are some (probably the most important) of the geometric measurements of pore space. The technology of X-ray computed tomography allows us to obtain 3D images of the inside of a soil sample enabling study of the pores without disturbing the samples. In this work we performed a set of geometrical measures, some of them from mathematical morphology, to assess and quantify any possible difference that tillage may have caused on the soil. We compared samples from tilled soil with samples from a soil with natural vegetation taken in a very close area. Our results show that the main differences between these two groups of samples are total surface area and pore connectivity per unit pore volume.

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Soil structure plays an important role in flow and transport phenomena, and a quantitative characterization of the spatial heterogeneity of the pore space geometry is beneficial for prediction of soil physical properties. Morphological features such as pore-size distribution, pore space volume or pore?solid surface can be altered by different soil management practices. Irregularity of these features and their changes can be described using fractal geometry. In this study, we focus primarily on the characterization of soil pore space as a 3D geometrical shape by fractal analysis and on the ability of fractal dimensions to differentiate between two a priori different soil structures. We analyze X-ray computed tomography (CT) images of soils samples from two nearby areas with contrasting management practices. Within these two different soil systems, samples were collected from three depths. Fractal dimensions of the pore-size distributions were different depending on soil use and averaged values also differed at each depth. Fractal dimensions of the volume and surface of the pore space were lower in the tilled soil than in the natural soil but their standard deviations were higher in the former as compared to the latter. Also, it was observed that soil use was a factor that had a statistically significant effect on fractal parameters. Fractal parameters provide useful complementary information about changes in soil structure due to changes in soil management. Read More: http://www.worldscientific.com/doi/abs/10.1142/S0218348X14400118?queryID=%24%7BresultBean.queryID%7D&

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During the last few decades, new imaging techniques like X-ray computed tomography have made available rich and detailed information of the spatial arrangement of soil constituents, usually referred to as soil structure. Mathematical morphology provides a plethora of mathematical techniques to analyze and parameterize the geometry of soil structure. They provide a guide to design the process from image analysis to the generation of synthetic models of soil structure in order to investigate key features of flow and transport phenomena in soil. In this work, we explore the ability of morphological functions built over Minkowski functionals with parallel sets of the pore space to characterize and quantify pore space geometry of columns of intact soil. These morphological functions seem to discriminate the effects on soil pore space geometry of contrasting management practices in a Mediterranean vineyard, and they provide the first step toward identifying the statistical significance of the observed differences.

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Natural disasters affect hundreds of millions of people worldwide every year. Emergency response efforts depend upon the availability of timely information, such as information concerning the movements of affected populations. The analysis of aggregated and anonymized Call Detail Records (CDR) captured from the mobile phone infrastructure provides new possibilities to characterize human behavior during critical events. In this work, we investigate the viability of using CDR data combined with other sources of information to characterize the floods that occurred in Tabasco, Mexico in 2009. An impact map has been reconstructed using Landsat-7 images to identify the floods. Within this frame, the underlying communication activity signals in the CDR data have been analyzed and compared against rainfall levels extracted from data of the NASA-TRMM project. The variations in the number of active phones connected to each cell tower reveal abnormal activity patterns in the most affected locations during and after the floods that could be used as signatures of the floods - both in terms of infrastructure impact assessment and population information awareness. The epresentativeness of the analysis has been assessed using census data and civil protection records. While a more extensive validation is required, these early results suggest high potential in using cell tower activity information to improve early warning and emergency management mechanisms.

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This approach aims at aligning, unifying and expanding the set of sentiment lexicons which are available on the web in order to increase their robustness of coverage. A sentiment lexicon is a critical and essential resource for tagging subjective corpora on the web or elsewhere. In many situations, the multilingual property of the sentiment lexicon is important because the writer is using two languages alternately in the same text, message or post. Our USL approach computes the unified strength of polarity of each lexical entry based on the Pearson correlation coefficient which measures how correlated lexical entries are with a value between 1 and -1, where 1 indicates that the lexical entries are perfectly correlated, 0 indicates no correlation, and -1 means they are perfectly inversely correlated and the UnifiedMetrics procedure for CPU and GPU, respectively.

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Natural disasters affect hundreds of millions of people worldwide every year. Emergency response efforts depend upon the availability of timely information, such as information concerning the movements of affected populations. The analysis of aggregated and anonymized Call Detail Records (CDR) captured from the mobile phone infrastructure provides new possibilities to characterize human behavior during critical events. In this work, we investigate the viability of using CDR data combined with other sources of information to characterize the floods that occurred in Tabasco, Mexico in 2009. An impact map has been reconstructed using Landsat-7 images to identify the floods. Within this frame, the underlying communication activity signals in the CDR data have been analyzed and compared against rainfall levels extracted from data of the NASA-TRMM project. The variations in the number of active phones connected to each cell tower reveal abnormal activity patterns in the most affected locations during and after the floods that could be used as signatures of the floods - both in terms of infrastructure impact assessment and population information awareness. The representativeness of the analysis has been assessed using census data and civil protection records. While a more extensive validation is required, these early results suggest high potential in using cell tower activity information to improve early warning and emergency management mechanisms.