887 resultados para Balneario de Fitero Viejo (Navarra).
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El objetivo de este proyecto fin de carrera es ajustar el perfil generado por un sistema fotovoltaico con orientación este-oeste que dispone de una batería al perfil de demanda de distintas industrias en Alemania. Se ha puesto especial énfasis a los siguientes paquetes de trabajo: • Comparación de la eficiencia de un sistema fotovoltaico este-oeste frente a los resultados obtenidos con la típica orientación sur • Simulación de una instalación fotovoltaica este-oeste con una batería en una industria, basada en el software MATLAB / Simulink • Optimización económica. Los resultados obtenidos muestran que nunca es económico instalar un campo fotovoltaico este-oeste en vez de una instalación con orientación sur, en caso de que la única ventaja esperada sea el ensanche de la curva de generación de potencia.
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De acuerdo a la normativa de TFEs el repositorio no puede dar acceso a este trabajo. Para consultarlo póngase en contacto con el tutor del trabajo. Puede acceder al resumen del mismo pinchando en el pdf adjunto
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In the analysis of relations among the elements of two sets it is usual to obtain different values depending on the point of view from which these relations are measured. The main goal of the paper is the modelization of these situations by means of a generalization of the L-fuzzy concept analysis called L-fuzzy bicontext. We study the L-fuzzy concepts of these L-fuzzy bicontexts obtaining some interesting results. Specifically, we will be able to classify the biconcepts of the L-fuzzy bicontext. Finally, a practical case is developed using this new tool.
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This paper reviews the fingerprint classification literature looking at the problem from a double perspective. We first deal with feature extraction methods, including the different models considered for singular point detection and for orientation map extraction. Then, we focus on the different learning models considered to build the classifiers used to label new fingerprints. Taxonomies and classifications for the feature extraction, singular point detection, orientation extraction and learning methods are presented. A critical view of the existing literature have led us to present a discussion on the existing methods and their drawbacks such as difficulty in their reimplementation, lack of details or major differences in their evaluations procedures. On this account, an experimental analysis of the most relevant methods is carried out in the second part of this paper, and a new method based on their combination is presented.
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In the first part of this paper we reviewed the fingerprint classification literature from two different perspectives: the feature extraction and the classifier learning. Aiming at answering the question of which among the reviewed methods would perform better in a real implementation we end up in a discussion which showed the difficulty in answering this question. No previous comparison exists in the literature and comparisons among papers are done with different experimental frameworks. Moreover, the difficulty in implementing published methods was stated due to the lack of details in their description, parameters and the fact that no source code is shared. For this reason, in this paper we will go through a deep experimental study following the proposed double perspective. In order to do so, we have carefully implemented some of the most relevant feature extraction methods according to the explanations found in the corresponding papers and we have tested their performance with different classifiers, including those specific proposals made by the authors. Our aim is to develop an objective experimental study in a common framework, which has not been done before and which can serve as a baseline for future works on the topic. This way, we will not only test their quality, but their reusability by other researchers and will be able to indicate which proposals could be considered for future developments. Furthermore, we will show that combining different feature extraction models in an ensemble can lead to a superior performance, significantly increasing the results obtained by individual models.
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Background: HIV infection leads to a decreasing immune response, thereby facilitating the appearance of other infections, one of the most important ones being HPV. However, studies are needed for determining associations between immunodeficiency caused by HIV and/or the presence of HPV during the course of cervical lesions and their degree of malignancy. This study describes the cytological findings revealed by the Papanicolaou test, laboratory characteristics and HPV molecular profile in women with and without HIV infection. Methods: A total of 216 HIV-positive and 1,159 HIV-negative women were invited to participate in the study; PCR was used for the molecular detection of HPV in cervical samples. Statistical analysis (such as percentages, Chi-square test and Fisher's exact test when applicable) determined human papillomavirus (HPV) infection frequency (single and multiple) and the distribution of six types of high-risk-HPV in women with and without HIV infection. Likewise, a logistic regression model was run to evaluate the relationship between HIV-HPV infection and different risk factors. Results: An association was found between the frequency of HPV infection and infection involving 2 or more HPV types (also known as multiple HPV infection) in HIV-positive women (69.0% and 54.2%, respectively); such frequency was greater than that found in HIV-negative women (44.3% and 22.7%, respectively). Statistically significant differences were observed between both groups (p = 0.001) regarding HPV presence (both in infection and multiple HPV infection). HPV-16 was the most prevalent type in the population being studied (p = 0.001); other viral types had variable distribution in both groups (HIV-positive and HIV-negative). HPV detection was associated with <500 cell/mm(3) CD4-count (p = 0.004) and higher HIV-viral-load (p = 0.001). HPV-DNA detection, <200 cell/mm(3) CD4-count (p = 0.001), and higher HIV-viral-load (p = 0.001) were associated with abnormal cytological findings. Conclusions: The HIV-1 positive population in this study had high multiple HPV infection prevalence. The results for this population group also suggested a greater association between HPV-DNA presence and cytological findings. HPV detection, together with low CD4 count, could represent useful tools for identifying HIV-positive women at risk of developing cervical lesions.
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Mi trabajo final de grado se centra en el aprendizaje, desarrollo y divulgación del entorno de programación NodeJS, un entorno orientado a eventos que está basado en el lenguaje de programación JavaScript en el lado del servidor. El enfoque de NodeJS es el desarrollo de aplicaciones de red altamente escalables. La escalabilidad se proporciona por la eficiencia obtenida a lo largo de los años en la optimización de código en los motores de JavaScript por la delegación asíncrona a tareas propias del sistema operativo. Aprovechando estas cualidades, desarrollo la implementación de un algoritmo basado en el modelo de replicación activa consistente en mantener copias de objetos de datos en distintos almacenes de datos. Con este modelo se constituye un sistema distribuido tolerante a fallos y de alta disponibilidad. Para los protocolos de comunicación se utilizan de los socket 0MQ y se desarrollan algunos ejemplos del uso de cada tipo de ellos.
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En este trabajo se desarrollara una criba de frecuencia natural para el calibrado de patatas en diferentes tamaños. La motivación para realizar trabajo surge de la idea de mejorar los sistemas de clasificado de hortalizas de hoy en día, concretamente el de patatas. El consumo de patatas en la actualidad es muy elevado, ya que se considera un alimento básico en nuestras vidas, por tanto su comercialización está asegurada. En la comercialización, la patata, debe cumplir unos requisitos obligatorios establecidos por la ley. El presente proyecto trata del diseño, para su posterior fabricación, de una criba para la clasificación de patata en fresco en siete tamaños diferentes aplicando la tecnología de vibración basada en la frecuencia natural de los materiales. Para ello una vez determinadas las luces y superficies de malla idóneas para cada tamaño a clasificar, elegiremos el soporte físico que las va a soportar. Este modo de clasificar las patatas es un sistema novedoso, ya que consigue un importante ahorro de energía
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Diversos estudios demuestran la relación entre la ingesta de un desayuno completo y la mejora del rendimiento escolar y los resultados académicos en la población infantil, así como en la prevención de la obesidad. Sin embargo, la omisión del desayuno es una práctica poco saludable pero muy extendida. Es por ello que el almuerzo de media mañana es una importante fuente de energía para la población escolar. En Euskara (vasco) se le conoce como “hamaiketako”. Partiendo de la hipótesis de que los alimentos consumidos en el almuerzo de media mañana, presentan gran cantidad de productos procesados con bajo aporte nutricional y altamente calóricos, el objetivo es identificar los alimentos consumidos en el hamaiketako de los niños de primero y segundo de primaria. (5-8 años) Para ello se realizó un estudio descriptivo observacional en 5 centros escolares, durante 4-5 días consecutivos del curso académico 2012-2013 en San Sebastián, España. Los resultados confirmaron la existencia de alimentos procesados, altamente calóricos y el escaso tiempo de consumo de alimentos entre el hamaiketako y la hora de comida. Se realizó distintas acciones de sensibilización acerca de la importancia de un hamaiketako saludable como complemento al de desayuno, destinadas a los escolares y sus familias a través de los centros educativos.
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We study axiomatically situations in which the society agrees to treat voters with different characteristics distinctly. In this setting, we propose a set of intuitive axioms and show that they jointly characterize a new class of voting procedures, called Type-weighted Approval Voting. According to this family, each voter has a strictly positive and finite weight (the weight is necessarily the same for all voters with the same characteristics) and the alternative with the highest number of weighted votes is elected. The implemented voting procedure reduces to Approval Voting in case all voters are identical or the procedure assigns the same weight to all types. Using this idea, we also obtain a new characterization of Approval Voting.
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This is an accepted manuscript of an article published by Taylor & Francis in Eastern European Economics on July 2015, available online: http://dx.doi.org/10.1080/00128775.2015.1079139
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The final publication is available at Springer via http://dx.doi.org/10.1007/s10693-015-0230-1
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Concentrating solar power is an important way of providing renewable energy. Model simulation approaches play a fundamental role in the development of this technology and, for this, an accurately validation of the models is crucial. This work presents the validation of the heat loss model of the absorber tube of a parabolic trough plant by comparing the model heat loss estimates with real measurements in a specialized testing laboratory. The study focuses on the implementation in the model of a physical-meaningful and widely valid formulation of the absorber total emissivity depending on the surface’s temperature. For this purpose, the spectral emissivity of several absorber’s samples are measured and, with these data, the absorber total emissivity curve is obtained according to Planck function. This physical-meaningful formulation is used as input parameter in the heat loss model and a successful validation of the model is performed. Since measuring the spectral emissivity of the absorber surface may be complex and it is sample-destructive, a new methodology for the absorber’s emissivity characterization is proposed. This methodology provides an estimation of the absorber total emissivity, retaining its physical meaning and widely valid formulation according to Planck function with no need for direct spectral measurements. This proposed method is also successfully validated and the results are shown in the present paper.
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El estigma y la discriminación que sufren las personas con enfermedad mental y discapacidad dan como resultado dificultades de incorporación socio-laboral, situaciones de vulnerabilidad y exclusión social. En este documento se recogen, visualizan y comparan las diferentes prestaciones del ámbito ocupacional y laboral destinadas a las personas con enfermedad mental y discapacidad derivada de ésta de las siguientes Comunidades Autónomas uniprovinciales de España: Asturias, Cantabria, La Rioja, Madrid, Murcia y Navarra. A través del mismo, se puede conocer la situación laboral de las personas con enfermedad mental y discapacidad derivada de ésta y aclarar los tipos de Centros y programas específicos que hay para este colectivo en las diferentes Comunidades estudiadas. Se elaboran y aportan al trabajo tablas comparativas de síntesis de resultados para obtener una visión global de la situación estudiada.
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This is the peer reviewed version of the following article: Cruz, C., Larraza-Kintana, M., Garcés-Galdeano, L. and Berrone, P. (2014), Are Family Firms Really More Socially Responsible? Entrepreneurship Theory and Practice, 38: 1295–1316, which has been published in final form at http://dx.doi.org/10.1111/etap.12125. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.