875 resultados para document clustering


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Resources created at University of Southampton for the module GIS for the Analysis of Health (GAH)

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El propósito de la presente investigación es evaluar la incidencia regional de las iniciativas chinas a favor de la gestión del agua del Río Mekong como elementos que contribuyen en la construcción de la percepción favorable para el gigante asiático. Producto del conjunto de reformas aplicadas desde 1978, China fue objeto de un crecimiento económico exponencial que algunos académicos denominan milagroso; sin embargo, dicho proceso involucró un impacto negativo sobre el medio ambiente y en particular sobre el agua del Estado. El deterioro ambiental chino implicó, por un lado, el desarrollo de medidas internas que pretenden reversar los efectos descritos en el marco de las diferentes cumbres mundiales sobre medio ambiente y por otro, la participación en iniciativas de carácter subregional que denotan cierto grado de pro-actividad del gigante asiático en materia ambiental.

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La participación en carreras atléticas de calle ha aumentado; esto requiere detectar riesgos previos al esfuerzo físico. Objetivo. Identificar factores de riesgo del comportamiento y readiness de inscritos a una carrera. Método. Estudio transversal en aficionados de 18-64 años. Encuesta digital con módulos de IPAQ, PARQ+ y STEP. Muestreo aleatorio sistemático con n=510, para una inactividad física esperada de 35% (±5%). Se evaluó nivel de actividad física, consumo de alcohol (peligroso), de fruta, verdura, tabaco y sal, y readiness. Resultados. El cumplimiento de actividad física fue 97,4%; 2,4% consume nivel óptimo de fruta o verdura (diferencias por edad, sexo y estrato), 3,7% fuma y 44,1% consumo peligroso de alcohol. El 19,8% reportó PARQ+ positivo y 5,7% requiere supervisión. Hay diferencias por trabajo y estudio. Discusión. Los aficionados cumplen el nivel de actividad física; pero no de otros factores. Una estrategia de seguridad en el atletismo de calle es evaluar los factores de riesgo relacionados con el estilo de vida así como el readiness.

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Resumen basado en el de la publicaci??n

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In image processing, segmentation algorithms constitute one of the main focuses of research. In this paper, new image segmentation algorithms based on a hard version of the information bottleneck method are presented. The objective of this method is to extract a compact representation of a variable, considered the input, with minimal loss of mutual information with respect to another variable, considered the output. First, we introduce a split-and-merge algorithm based on the definition of an information channel between a set of regions (input) of the image and the intensity histogram bins (output). From this channel, the maximization of the mutual information gain is used to optimize the image partitioning. Then, the merging process of the regions obtained in the previous phase is carried out by minimizing the loss of mutual information. From the inversion of the above channel, we also present a new histogram clustering algorithm based on the minimization of the mutual information loss, where now the input variable represents the histogram bins and the output is given by the set of regions obtained from the above split-and-merge algorithm. Finally, we introduce two new clustering algorithms which show how the information bottleneck method can be applied to the registration channel obtained when two multimodal images are correctly aligned. Different experiments on 2-D and 3-D images show the behavior of the proposed algorithms

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Pantoea agglomerans strains are among the most promising biocontrol agents for a variety of bacterial and fungal plant diseases, particularly fire blight of apple and pear. However, commercial registration of P. agglomerans biocontrol products is hampered because this species is currently listed as a biosafety level 2 (BL2) organism due to clinical reports as an opportunistic human pathogen. This study compares plant-origin and clinical strains in a search for discriminating genotypic/phenotypic markers using multi-locus phylogenetic analysis and fluorescent amplified fragment length polymorphisms (fAFLP) fingerprinting. Results: Majority of the clinical isolates from culture collections were found to be improperly designated as P. agglomerans after sequence analysis. The frequent taxonomic rearrangements underwent by the Enterobacter agglomerans/Erwinia herbicola complex may be a major problem in assessing clinical associations within P. agglomerans. In the P. agglomerans sensu stricto (in the stricter sense) group, there was no discrete clustering of clinical/biocontrol strains and no marker was identified that was uniquely associated to clinical strains. A putative biocontrol-specific fAFLP marker was identified only in biocontrol strains. The partial ORF located in this band corresponded to an ABC transporter that was found in all P. agglomerans strains. Conclusion: Taxonomic mischaracterization was identified as a major problem with P. agglomerans, and current techniques removed a majority of clinical strains from this species. Although clear discrimination between P. agglomerans plant and clinical strains was not obtained with phylogenetic analysis, a single marker characteristic of biocontrol strains was identified which may be of use in strain biosafety determinations. In addition, the lack of Koch's postulate fulfilment, rare retention of clinical strains for subsequent confirmation, and the polymicrobial nature of P. agglomerans clinical reports should be considered in biosafety assessment of beneficial strains in this species

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The article examines the structure of the collaboration networks of research groups where Slovenian and Spanish PhD students are pursuing their doctorate. The units of analysis are student-supervisor dyads. We use duocentred networks, a novel network structure appropriate for networks which are centred around a dyad. A cluster analysis reveals three typical clusters of research groups. Those which are large and belong to several institutions are labelled under a bridging social capital label. Those which are small, centred in a single institution but have high cohesion are labelled as bonding social capital. Those which are small and with low cohesion are called weak social capital groups. Academic performance of both PhD students and supervisors are highest in bridging groups and lowest in weak groups. Other variables are also found to differ according to the type of research group. At the end, some recommendations regarding academic and research policy are drawn

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La Agència Valenciana de Turisme ha emprendido el proyecto de actualización de la web de promoción de la Comunidad Valenciana, el portal http://www.comunitatvalenciana.com. Este portal es una referencia internacional para todos los visitantes de la Comunidad Valenciana y por tanto un proyecto clave en su promoción turística. En esta ponencia se presentará la elaboración de un geoportal turístico atractivo y preparado para soportar un número elevado de visitas. En el contexto del proyecto se han abordado problemas como la visualización de información vectorial (puntos de interés) en un elevado número mediante la técnica de agregación o clustering. Por otro lado dicha información vectorial se procesa de tal forma que el visitante de la web obtiene un rendimiento en los tiempos de respuesta bastante elevado gracias al uso de técnicas de multirresolución en el visor web. La información de partida se migra a una base de datos espacial libre y se procesa para generar archivos en formato JSON. Por otro lado, el geoportal ofrece un flexible motor de búsquedas, preparado igualmente para soportar una carga elevada de peticiones mediante el uso de la indexación con el soporte para consultas espaciales. Este motor de búsquedas igualmente se ha preparado para utilizarse como servidor para ofrecer toda la información del portal a través de Layar, un servicio de realidad aumentada para móviles. Este servicio está completamente basado en componentes libres como el framework Spring o el soporte de búsquedas Lucene. Se presentará por tanto cómo se ha abordado la realización de una solución completa de presentación de información de un portal turístico de exigencias de rendimiento elevadas, centrando la atención en los componentes del servidor, todos ellos basados en software libre

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En aquesta tesi s’estudia el problema de la segmentació del moviment. La tesi presenta una revisió dels principals algoritmes de segmentació del moviment, s’analitzen les característiques principals i es proposa una classificació de les tècniques més recents i importants. La segmentació es pot entendre com un problema d’agrupament d’espais (manifold clustering). Aquest estudi aborda alguns dels reptes més difícils de la segmentació de moviment a través l’agrupament d’espais. S’han proposat nous algoritmes per a l’estimació del rang de la matriu de trajectòries, s’ha presenta una mesura de similitud entre subespais, s’han abordat problemes relacionats amb el comportament dels angles canònics i s’ha desenvolupat una eina genèrica per estimar quants moviments apareixen en una seqüència. L´ultima part de l’estudi es dedica a la correcció de l’estimació inicial d’una segmentació. Aquesta correcció es du a terme ajuntant els problemes de la segmentació del moviment i de l’estructura a partir del moviment.

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This paper tests the hypothesis that government bond markets in the eurozone are more fragile and more susceptible to self-fulfilling liquidity crises than in stand-alone countries. We find evidence that a significant part of the surge in the spreads of the PIGS countries (Portugal, Ireland, Greece and Spain) in the eurozone during 2010-11 was disconnected from underlying increases in the debt-to-GDP ratios and fiscal space variables, and was the result of negative self-fulfilling market sentiments that became very strong since the end of 2010. We argue that this can drive member countries of the eurozone into bad equilibria. We also find evidence that after years of neglecting high government debt, investors became increasingly worried about this in the eurozone, and reacted by raising the spreads. No such worries developed in stand-alone countries despite the fact that debt-to-GDP ratios and fiscal space variables were equally high and increasing in these countries.

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This Working Document by Daniel Gros presents a simple model that incorporates two types of sovereign default cost: first, a lump-sum cost due to the fact that the country does not service its debt fully and is recognised as being in default status, by ratings agencies, for example. Second, a cost that increases with the size of the losses (or haircut) imposed on creditors whose resistance to a haircut increases with the proportional loss inflicted upon them. One immediate implication of the model is that under some circumstances the creditors have a (collective) interest to forgive some debt in order to induce the country not to default. The model exhibits a potential for multiple equilibria, given that a higher interest rate charged by investors increases the debt service burden and thus the temptation to default. Under very high debt levels credit rationing can set in as the feedback loop between higher interest rates and the higher incentive to default can become explosive. The introduction of uncertainty makes multiple equilibria less likely and reduces their range.