1000 resultados para Support politique


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Résumé: Depuis plusieurs années, le thème des réseaux sociaux est au centre de l'intérêt des études historiques. Est-il possible de formaliser l'analyse de réseaux sociaux spécifiques - parenté, clientèle, solidarités locales, etc. - afin d'en analyser l'influence sur des événements historiques et des individus précis ? L'étude présentée prend en considération les luttes souvent violentes entre radicaux et conservateurs dans le Val de Bagnes, en Valais (Suisse), entre 1839 et 1900. La comparaison entre les généalogies des familles de la vallée et les informations sur la vie politique et sociale nous permet de relever l'influence de la parenté dans l'organisation des factions politiques. Les réseaux de parenté sont toutefois ouverts et souples, permettant des adaptations aux évolutions de la situation politique, économique et sociale. L'affaire autour du faux-monnayeur italien Joseph S. Farinet, dans les années 1870, nous permet par exemple de suivre l'évolution des réseaux de solidarité, à la suite d'une crise politique, ainsi que l'émergence de nouvelles activités économiques, notamment le tourisme, avec les hôteliers, les aubergistes et les guides de montagne souvent liés au milieu radical. L'analyse permet également de nuancer l'influence des réseaux de patronage : les collaborations horizontales, à l'intérieur des classes populaires, semblent mieux expliquer les solidarités politiques. Abstract: For several years, historians have been closely concerned with the question of social networks. Is it possible to conceptualize specific networks - like kinship, patronage or local solidarities - and to analyze their influence on concrete individuals or historical events? This paper considers the violent struggles between a radical political faction and a conservative one in a Swiss alpine valley, the Val de Bagnes (Valais) between 1839 and 1900. It compares information about political and social conflicts in the valley with genealogies of local families. By this way the eminent influence of kinship ties on political organizations becomes visible. But kinship networks are open and very supple, allowing adaptations to new political and social configurations. The trials against the Italian smuggler and counterfeiter Joseph S. Farinet in the Seventies allow to describe the evolution of local cooperation networks as a consequence of a political crisis in the canton of Valais and of new economic activities. The paper stresses the active role of a emerging group of hotel- or inn-owners and mountain guides, often closely tied with the radical milieu. The analysis of social transactions raises critical questions about the role of patronage in political mobilization: horizontal cooperation and kinship ties between peasants, small cattle owners and artisans seem to explain political solidarities better than patronage structures.

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The cytokine BAFF binds to the receptors TACI, BCMA, and BAFF-R on B cells, whereas APRIL binds to TACI and BCMA only. The signaling properties of soluble trimeric BAFF (BAFF 3-mer) were compared with those of higher-order BAFF oligomers. All forms of BAFF bound BAFF-R and TACI, and elicited BAFF-R-dependent signals in primary B cells. In contrast, signaling through TACI in mature B cells or plasmablasts was only achieved by higher-order BAFF and APRIL oligomers, all of which were also po-tent activators of a multimerization-dependent reporter signaling pathway. These results indicate that, although BAFF-R and TACI can provide B cells with similar signals, only BAFF-R, but not TACI, can respond to soluble BAFF 3-mer, which is the main form of BAFF found in circulation. BAFF 60-mer, an efficient TACI agonist, was also detected in plasma of BAFF transgenic and nontransgenic mice and was more than 100-fold more active than BAFF 3-mer for the activation of multimerization-dependent signals. TACI supported survival of activated B cells and plasmablasts in vitro, providing a rational basis to explain the immunoglobulin deficiency reported in TACI-deficient persons.

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Fluvial deposits are a challenge for modelling flow in sub-surface reservoirs. Connectivity and continuity of permeable bodies have a major impact on fluid flow in porous media. Contemporary object-based and multipoint statistics methods face a problem of robust representation of connected structures. An alternative approach to model petrophysical properties is based on machine learning algorithm ? Support Vector Regression (SVR). Semi-supervised SVR is able to establish spatial connectivity taking into account the prior knowledge on natural similarities. SVR as a learning algorithm is robust to noise and captures dependencies from all available data. Semi-supervised SVR applied to a synthetic fluvial reservoir demonstrated robust results, which are well matched to the flow performance

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Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. In this paper, we focus on the prediction of drug concentrations using Support Vector Machines (S VM) and the analysis of the influence of each feature to the prediction results. Our study shows that SVM-based approaches achieve similar prediction results compared with pharmacokinetic model. The two proposed example-based SVM methods demonstrate that the individual features help to increase the accuracy in the predictions of drug concentration with a reduced library of training data.

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While the hospital remains an important element of the psychiatric health-care system, the fact that it is always the best place to treat acute psychotic episodes is still debated. After a brief review of the literature relative to the main existing community care models, the authors describe the development in the Department Universitaire de Psychiatrie Adulte (DUPA), of an alternative to hospitalisation for patient going through a severe acute psychiatric episode. They present three clinical situations and the aims of the research project, which will follow this pilot phase.