41 resultados para JANKELEVITCH, VLADIMIR
em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain
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DEA (tesina) que analitza quin és el paper que juguen els blocs dintre de la Web 2.0, articulant-se al voltant de tres eixos: la creació de la identitat virtual, les xarxes socials generades a través de la blocosfera i les implicacions econòmiques i socials que se'n deriven. La pregunta central és de quina manera, si ho fan, els blocs contribueixen a modificar fòrmules de lectura i participació tant d'àmbit personal com públic en les agendes informatives. I si aquesta participació genera canvis significatius a nivell econòmic i psicosocial.
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A l'estadística de processos estocàstics i camps aleatoris, una funció de moments o un cumulant d'un estimador de la funció de correlació o de la densitat espectral sovint pot contenir una integral amb un producte cíclic de nuclis. En aquest treball es defineix i s'investiga aquesta classe d'integrals i es demostra la desigualtat de Young-Hölder que permet estudiar el comportament asimptòtic de les esmentades integrals en la situació quan els nuclis depenen d'un pàràmetre. Es considera una aplicació al problema d'estimació de la funció de resposta en un sistema de Volterra.
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"Vegeu el resum a l'inici del document del fitxer adjunt."
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"Vegeu el resum a l'inici del document del fitxer adjunt."
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We obtain a new series of integral formulae for symmetric functions of curvature of a distribution of arbitrary codimension (an its orthogonal complement) given on a compact Riemannian manifold, which start from known formula by P.Walczak (1990) and generalize ones for foliations by several authors: Asimov (1978), Brito, Langevin and Rosenberg (1981), Brito and Naveira (2000), Andrzejewski and Walczak (2010), etc. Our integral formulae involve the co-nullity tensor, certain component of the curvature tensor and their products. The formulae also deal with a number of arbitrary functions depending on the scalar invariants of the co-nullity tensor. For foliated manifolds of constant curvature the obtained formulae give us the classical type formulae. For a special choice of functions our formulae reduce to ones with Newton transformations of the co-nullity tensor.
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For a quasilinear operator on the semiaxis a reduction theorem is proved on the cones of monotone functions in Lp - Lq setting for 0 < q < ∞, 1<= p < ∞. The case 0 < p < 1 is also studied for operators with additional properties. In particular, we obtain critera for three-weight inequalities for the Hardy-type operators with Oinarov' kernel on monotone functions in the case 0 < q < p <= 1.
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En este artículo se presenta la ontología OntPersonal, una ontología de personalización para la aplicación ITINER@, un sistema generador de rutas turísticas basado en información semántica. La ontología OntPersonal modela un conjunto de preferencias turísticas y restricciones de contexto asociadas al usuario final (turista), lo que se denomina su perfil. A partir de un juego de reglas SWRL se intentan inferir los puntos de interés (POI o visitables) -obtenidos de una ontología externa instanciada- más relevantes para cada perfil. Esta información, aunada a otras consideraciones, podría utilizarse por el sistema ITINER@ para construir rutas turísticas personalizadas. En este trabajo se presentan los resultados obtenidos al evaluar la ontología usando POI pertenecientes a la región de Esterri d'Àneu en Cataluña, España.
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This paper presents practical experiences using Open educational Resources (OER) for basic and elementary education (K12), educational research and research training on two inter-institutional projects with the collaboration of thirteen higher education institutions and with the support of the Corporación de Universidades para el Desarrollo del Internet (CUDI) and by the Consejo Nacional de Ciencia y Tecnología (CONACYT) of Mexico and hosted by the Tecnológico de Monterrey. The first initiative is titled "Knowledge Hub for K-12 Education" with the main goal of enrich a catalog of Open Educational Resources for basic and elementary education (K-12) for Mexico and Spanish speaking countries in Latin-America. The main goal of the second initiative is to build a collection of Open Educational Resources for Mobile Learning to address the issue of educational research and research training.
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Examples of compositional data. The simplex, a suitable sample space for compositional data and Aitchison's geometry. R, a free language and environment for statistical computing and graphics
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R from http://www.r-project.org/ is ‘GNU S’ – a language and environment for statistical computingand graphics. The environment in which many classical and modern statistical techniques havebeen implemented, but many are supplied as packages. There are 8 standard packages and many moreare available through the cran family of Internet sites http://cran.r-project.org .We started to develop a library of functions in R to support the analysis of mixtures and our goal isa MixeR package for compositional data analysis that provides support foroperations on compositions: perturbation and power multiplication, subcomposition with or withoutresiduals, centering of the data, computing Aitchison’s, Euclidean, Bhattacharyya distances,compositional Kullback-Leibler divergence etc.graphical presentation of compositions in ternary diagrams and tetrahedrons with additional features:barycenter, geometric mean of the data set, the percentiles lines, marking and coloring ofsubsets of the data set, theirs geometric means, notation of individual data in the set . . .dealing with zeros and missing values in compositional data sets with R procedures for simpleand multiplicative replacement strategy,the time series analysis of compositional data.We’ll present the current status of MixeR development and illustrate its use on selected data sets
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Background: We present the results of EGASP, a community experiment to assess the state-ofthe-art in genome annotation within the ENCODE regions, which span 1% of the human genomesequence. The experiment had two major goals: the assessment of the accuracy of computationalmethods to predict protein coding genes; and the overall assessment of the completeness of thecurrent human genome annotations as represented in the ENCODE regions. For thecomputational prediction assessment, eighteen groups contributed gene predictions. Weevaluated these submissions against each other based on a ‘reference set’ of annotationsgenerated as part of the GENCODE project. These annotations were not available to theprediction groups prior to the submission deadline, so that their predictions were blind and anexternal advisory committee could perform a fair assessment.Results: The best methods had at least one gene transcript correctly predicted for close to 70%of the annotated genes. Nevertheless, the multiple transcript accuracy, taking into accountalternative splicing, reached only approximately 40% to 50% accuracy. At the coding nucleotidelevel, the best programs reached an accuracy of 90% in both sensitivity and specificity. Programsrelying on mRNA and protein sequences were the most accurate in reproducing the manuallycurated annotations. Experimental validation shows that only a very small percentage (3.2%) of the selected 221 computationally predicted exons outside of the existing annotation could beverified.Conclusions: This is the first such experiment in human DNA, and we have followed thestandards established in a similar experiment, GASP1, in Drosophila melanogaster. We believe theresults presented here contribute to the value of ongoing large-scale annotation projects and shouldguide further experimental methods when being scaled up to the entire human genome sequence.
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Conté: El enigma Putin; El giro político de Rusia; Rusia, hacia la autocracia; La tragedia de Beslan; La Rusia de Putin y Occidente; El golpe de fuerza de Rusia; La Rusia del gigante Gazprom; El rearme de Rusia
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The past four decades have witnessed an explosive growth in the field of networkbased facility location modeling. This is not at all surprising since location policy is one of the most profitable areas of applied systems analysis in regional science and ample theoretical and applied challenges are offered. Location-allocation models seek the location of facilities and/or services (e.g., schools, hospitals, and warehouses) so as to optimize one or several objectives generally related to the efficiency of the system or to the allocation of resources. This paper concerns the location of facilities or services in discrete space or networks, that are related to the public sector, such as emergency services (ambulances, fire stations, and police units), school systems and postal facilities. The paper is structured as follows: first, we will focus on public facility location models that use some type of coverage criterion, with special emphasis in emergency services. The second section will examine models based on the P-Median problem and some of the issues faced by planners when implementing this formulation in real world locational decisions. Finally, the last section will examine new trends in public sector facility location modeling.