16 resultados para Navarra, Francisco de, m. 1563 biografías

em Repositorio Institucional de la Universidad Pública de Navarra - Espanha


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2ª ed. revisada

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Signaturas: *6, A-F4, G2, H-Z4, 2A-2Z4, 3A-3Z4, 4A-4Z4, 5A-5D4, 5E2, 5F4 ; *5, A-Z4, 2A-2Z4, 3A-3Y4, Z2, 4A4 ; *5, A-Z4, 2A-2Z4, 3A-3Z4, 4A-4N4, 4O5 ; *5, A-Z4, 2A-2Z4, 3A-3Z4, 4A-4O4, 4P2, 4Q1, 4R4 ; *5, A-Z4, 2A-2Z4, 3A-3M4, *2, A-S4.

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In this paper, a Lyapunov function candidate is introduced for multivariable systems with inner delays, without assuming a priori stability for the nondelayed subsystem. By using this Lyapunov function, a controller is deduced. Such a controller utilizes an input-output description of the original system, a circumstance that facilitates practical applications of the proposed approach.

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A lo largo de este estudio se pretende reflexionar acerca del concepto de seguridad en general, para posteriormente abordar la violencia de género como un tipo de violencia ms propio de nuestra época. Con la finalidad de construir un plan de protección, basándome en las necesidades escasamente cubiertas por parte de los cuerpos de seguridad en Navarra y las distintas instituciones que participan en el protocolo de actuación. Hasta el momento la mayoría de estudios de relevancia sobre el tema se han centrado en definir cuál es el problema y a quienes afecta, pero siguen haciendo falta tanto medidas de prevención que disminuyan considerablemente este tipo de delitos, como de protección para las víctimas y el entorno que les rodea, con el fin de sentirse respaldadas y protegidas por parte de la sociedad y de las instituciones.

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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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El estudio determina las características de la Economa Solidaria, desde la perspectiva de los movimientos sociales, en el marco del análisis de las auditorías de REASNavarra. Se contextualizan mediante revisión bibliográfica las características, tanto de la Economa Social y Solidaria (ESS) como de la Economa Social, y se contrasta con el caso particular de Navarra (España). Para el análisis de dichas auditorías se utilizó un enfoque metodológico longitudinal, resultando del mismo una “foto” representativa del comportamiento de las empresas de REAS-Navarra a lo largo de los años (2009, 2011 y 2013). El estudio concluye que REAS-Navarra, si bien cumple con criterios defendidos desde la Economa Solidaria, presenta debilidades en cuanto a la metodología utilizada para auditar sus empresas, y de los resultados del análisis de las auditorías sociales se desprenden dudas respecto al nivel de autonoma y democracia en estas empresas, lo que puede significar un riesgo para su continuidad.

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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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The Basic Income has been defined as a relatively small income that the public Administration unconditionally provides to all its members as a citizenship right. Its principal objective consists on guaranteeing the entire population with an income enough to satisfy living basic needs, but it could have other positive effects such as a more equally income redistribution or tax fraud fighting, as well as some drawbacks, like the labor supply disincentives. In this essay we present the argument in favor and against this policy and ultimately define how it could be financed according to the actual tax and social benefits’ system in Navarra. The research also approaches the main economic implications of the proposal, both in terms of static income redistribution and discusses other relevant dynamic uncertainties.

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En este trabajo fin de mster el objetivo general es profundizar en el proceso de cambio de la profesionalización del Trabajo Social en Navarra en la segunda mitad del siglo XX. En este sentido, se pretende comprender los por qués de una profesión que se ha ido fraguando, atendiendo y dando respuesta a diversas demandas sociales, muy diferentes en el tiempo. Se atenderá a las respuestas dadas a esas necesidades y al cómo se ha llegado al punto en el que actualmente se encuentra la disciplina. Este aporte es necesario para poder mirar al Trabajo Social desde una perspectiva histórica que permita reflexionar sobre los errores cometidos y a ensalzar los aciertos realizados en el proceso de profesionalización pudiendo trazar un camino adecuado que refuerce la profesión.

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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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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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Objectives. This paper explores the use of regression models for estimating health status of schizophrenic patients, from a Bayesian perspective. Our aims are: 1- To obtain a set of values of health states of the EQ-5D based on self-assessed health from a sample of schizophrenic patients. 2- To analyse the differences in the health status and in patients’ perceptions of their health status between four mental-health districts in Spain. Methods. We develop two linear models with dummy variables. The first model seeks to obtain an index of the health status of the patients using a VAS as a dependent variable and the different dimensions of EQ-5D as regressors. The second model allows to analyse the differences between the self-assessed health status in the different geographic areas and also the differences between the patients’ self-assessed health states, irrespective of their actual health state, in the different geographic areas. The analysis is done using Bayesian approach with Gibbs sampling (computer program WinBUGS 1.4). Data concerning self-assessed EQ-5D with VAS from four geographic areas of schizophrenic patients were obtained for the purposes of this analysis. Results. We obtained the health status index for this sample and analysed the differences for this index between the four geographic areas. Our study reveals variables that explain the differences in patients’ health status and differences in their health states assessment. We consider four possible scenarios.

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Van añadidas en esta impression muchas cosas, cuya tabla se pone despues del prologo.