933 resultados para Ensemble dominant connexe
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Tese (doutorado)Universidade de Brasília, Instituto de Física, Programa de Pós-Graduação em Física, 2015.
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L’idée selon laquelle les enfants sont des sujets à part entière de considérations de justice n’est pas très contestée. Les enfants ont des intérêts qui leur sont propres et ont un statut moral indépendant de leurs parents : ils ne sont ni la propriété de ces derniers ni une simple extension de leur personne. Pourtant, les travaux des plus grands théoriciens de la justice en philosophie politique contemporaine ne contiennent pas de discussion systématique du statut moral et politique des enfants et du contenu de nos obligations à leur égard. Cette thèse contribue à remédier à cette omission à travers l’examen de quatre grandes questions principales. (1) Quelles sont les obligations de justice de l’état libéral envers les enfants ? (2) Quels types de politiques publiques en matière d’éducation des enfants sont moralement légitimes ? (3) Jusqu’à quel point est-il moralement acceptable pour les parents de délibérément forger la vision du monde de leurs enfants ? (4) Quels critères moraux devraient guider l’élaboration de politiques en matière d’éducation morale dans les écoles ? Cette thèse est constituée de quatre articles. Le premier, « Political Liberalism and Children’s Education », aborde les questions du fondement normatif et des implications du principe de ‘neutralité éducative’ ou ‘anti-perfectionnisme éducatif’. Selon ce principe, il n’est pas légitime pour l’État libéral de délibérément promouvoir, à travers ses politiques publiques en éducation, une conception particulière de la vie bonne. L’article défend les idées suivantes. D’abord, ledit principe est exclusivement fondé sur des raisons de justice envers les parents. Ensuite, l’anti-perfectionnisme libéral n’est pas, pour autant, ‘mauvais pour les enfants’, puisqu’une vaste gamme d’interventions politiques dans la vie familiale et l’éducation des enfants sont, de manière surprenante, justifiables dans ce cadre théorique. Le deuxième article, « On the Permissibility of Shaping Children’s Values », examine la question de savoir si les parents ont un droit moral de forger délibérément l’identité, la conception du monde et les valeurs de leurs enfants. L’article développe une critique de la conception anti-perfectionniste des devoirs parentaux et propose un nouvel argument libéral à l’appui d’un droit parental conditionnel de forger l’identité de leurs enfants. L’article introduit également une distinction importante entre les notions d’éducation compréhensive et d’« enrôlement » compréhensif. Le troisième article, « Common Education and the Practice of Liberal Neutrality: The Loyola High School Case », défend trois thèses principales à travers une analyse normative de l’affaire juridique de l’école Loyola. Premièrement, il est légitime pour l’État libéral d’adopter un modèle d’éducation commune fort. Deuxièmement, la thèse selon laquelle la neutralité comme approche éducative serait impossible est injustifiée. Troisièmement, il existe néanmoins de bonnes raisons pour l’État libéral d’accommoder plusieurs écoles religieuses qui rejettent le modèle de la neutralité. Le quatrième article, « Which Moral Issues Should be Taught as Controversial? », critique à la fois le critère ‘épistémique’ dominant pour déterminer quels enjeux moraux devraient être enseignés aux jeunes comme ‘controversés’, et à la fois la manière dont le débat sur l’enseignement des enjeux controversés fut construit au cours des dernières années, d’un point de vue substantiel et méthodologique. L’article propose une manière alternative d’aborder le débat, laquelle prend adéquatement en compte la pluralité des objectifs de l’éducation et un ensemble d’autres considérations morales pertinentes.
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A diverse T cell receptor (TCR) repertoire is a prerequisite for effective viral clearance. However, knowledge of human TCR repertoire to defined viral antigens is limited. Recent advances in high-throughput sequencing (HTS) and single-cell sorting have revolutionized the study of human TCR repertoires to different types of viruses. In collaboration with the laboratory of Dr. Nan-ping Weng (National Institute on Aging, NIH), we applied unique molecular identifier (UMI)-labelled HTS, single-cell paired TCR analysis, surface plasmon resonance, and X-ray crystallography to exhaustively interrogate CD8+ TCR repertoires specific for cytomegalovirus (CMV) and influenza A (Flu) in HLA-A2+ humans. Our two CMV-specific TCR-pMHC structures and two Flu-specific TCR-pMHC structures provide a plausible explanation for the much higher diversity of CMV-specific than Flu-specific TCR repertoires in humans. Our comprehensive biochemical and structural portrait of two different anti-viral T cell responses may contribute to the future development of predictors of immunity or disease at the individual level.
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Motivation: Influenza A viral heterogeneity remains a significant threat due to unpredictable antigenic drift in seasonal influenza and antigenic shifts caused by the emergence of novel subtypes. Annual review of multivalent influenza vaccines targets strains of influenza A and B likely to be predominant in future influenza seasons. This does not induce broad, cross protective immunity against emergent subtypes. Better strategies are needed to prevent future pandemics. Cross-protection can be achieved by activating CD8+ and CD4+ T cells against highly-conserved regions of the influenza genome. We combine available experimental data with informatics-based immunological predictions to help design vaccines potentially able to induce cross-protective T-cells against multiple influenza subtypes. Results: To exemplify our approach we designed two epitope ensemble vaccines comprising highlyconserved and experimentally-verified immunogenic influenza A epitopes as putative non-seasonal influenza vaccines; one specifically targets the US population and the other is a universal vaccine. The USA-specific vaccine comprised 6 CD8+ T cell epitopes (GILGFVFTL, FMYSDFHFI, GMDPRMCSL, SVKEKDMTK, FYIQMCTEL, DTVNRTHQY) and 3 CD4+ epitopes (KGILGFVFTLTVPSE, EYIMKGVYINTALLN, ILGFVFTLTVPSERG). The universal vaccine comprised 8 CD8+ epitopes: (FMYSDFHFI, GILGFVFTL, ILRGSVAHK, FYIQMCTEL, ILKGKFQTA, YYLEKANKI, VSDGGPNLY, YSHGTGTGY) and the same 3 CD4+ epitopes. Our USA-specific vaccine has a population protection coverage (portion of the population potentially responsive to one or more component epitopes of the vaccine, PPC) of over 96% and 95% coverage of observed influenza subtypes. The universal vaccine has a PPC value of over 97% and 88% coverage of observed subtypes.
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Background: Statistical analysis of DNA microarray data provides a valuable diagnostic tool for the investigation of genetic components of diseases. To take advantage of the multitude of available data sets and analysis methods, it is desirable to combine both different algorithms and data from different studies. Applying ensemble learning, consensus clustering and cross-study normalization methods for this purpose in an almost fully automated process and linking different analysis modules together under a single interface would simplify many microarray analysis tasks. Results: We present ArrayMining.net, a web-application for microarray analysis that provides easy access to a wide choice of feature selection, clustering, prediction, gene set analysis and cross-study normalization methods. In contrast to other microarray-related web-tools, multiple algorithms and data sets for an analysis task can be combined using ensemble feature selection, ensemble prediction, consensus clustering and cross-platform data integration. By interlinking different analysis tools in a modular fashion, new exploratory routes become available, e.g. ensemble sample classification using features obtained from a gene set analysis and data from multiple studies. The analysis is further simplified by automatic parameter selection mechanisms and linkage to web tools and databases for functional annotation and literature mining. Conclusion: ArrayMining.net is a free web-application for microarray analysis combining a broad choice of algorithms based on ensemble and consensus methods, using automatic parameter selection and integration with annotation databases.
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Dissertação de Mestrado, Ecohidrologia - Erasmus Mundus, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2014
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Ensemble Stream Modeling and Data-cleaning are sensor information processing systems have different training and testing methods by which their goals are cross-validated. This research examines a mechanism, which seeks to extract novel patterns by generating ensembles from data. The main goal of label-less stream processing is to process the sensed events to eliminate the noises that are uncorrelated, and choose the most likely model without over fitting thus obtaining higher model confidence. Higher quality streams can be realized by combining many short streams into an ensemble which has the desired quality. The framework for the investigation is an existing data mining tool. First, to accommodate feature extraction such as a bush or natural forest-fire event we make an assumption of the burnt area (BA*), sensed ground truth as our target variable obtained from logs. Even though this is an obvious model choice the results are disappointing. The reasons for this are two: One, the histogram of fire activity is highly skewed. Two, the measured sensor parameters are highly correlated. Since using non descriptive features does not yield good results, we resort to temporal features. By doing so we carefully eliminate the averaging effects; the resulting histogram is more satisfactory and conceptual knowledge is learned from sensor streams. Second is the process of feature induction by cross-validating attributes with single or multi-target variables to minimize training error. We use F-measure score, which combines precision and accuracy to determine the false alarm rate of fire events. The multi-target data-cleaning trees use information purity of the target leaf-nodes to learn higher order features. A sensitive variance measure such as f-test is performed during each node’s split to select the best attribute. Ensemble stream model approach proved to improve when using complicated features with a simpler tree classifier. The ensemble framework for data-cleaning and the enhancements to quantify quality of fitness (30% spatial, 10% temporal, and 90% mobility reduction) of sensor led to the formation of streams for sensor-enabled applications. Which further motivates the novelty of stream quality labeling and its importance in solving vast amounts of real-time mobile streams generated today.
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This study explored the effects on speech intelligibility of across-formant differences in fundamental frequency (ΔF0) and F0 contour. Sentence-length speech analogues were presented dichotically (left=F1+F3; right=F2), either alone or—because competition usually reveals grouping cues most clearly—accompanied in the left ear by a competitor for F2 (F2C) that listeners must reject to optimize recognition. F2C was created by inverting the F2 frequency contour. In experiment 1, all left-ear formants shared the same constant F0 and ΔF0F2 was 0 or ±4 semitones. In experiment 2, all left-ear formants shared the natural F0 contour and that for F2 was natural, constant, exaggerated, or inverted. Adding F2C lowered keyword scores, presumably because of informational masking. The results for experiment 1 were complicated by effects associated with the direction of ΔF0F2; this problem was avoided in experiment 2 because all four F0 contours had the same geometric mean frequency. When the target formants were presented alone, scores were relatively high and did not depend on the F0F2 contour. F2C impact was greater when F2 had a different F0 contour from the other formants. This effect was a direct consequence of the associated ΔF0; the F0F2 contour per se did not influence competitor impact.
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Syftet med undersökningen är att med avseende på skolans genusuppdrag studera musiklärares förhållningsätt i ensembleundervisning på gymnasieskolan. För att uppnå detta har kvalitativa, semistrukturerade intervjuer genomförts med lärare i gymnasiekursen ensemble, följt av diskursanalys på transkriberingar av dessa intervjuer. De teoretiska utgångspunkterna är genusteorier och diskursteorier. I resultatet framkommer lärarnas syn på genusbegreppet och genusuppdraget. Bland de genusdiskurser som presenteras finns synen på genus som rutin, som sidoeffekt på annat arbete och som medvetenhet. Gällande elevsyn visar sig diskurser om eleven som platstagare, som normbrytare och vikten av att eleven känner sig som en synbar individ. Slutledningarna, liksom diskussionskapitlet, rör sig kring genusarbetets framgångar, vilka faktorer som kan ha orsakat dessa, och hur arbetet förändrats på skolorna utifrån dessa framgångar. Genomgående har ett individfokus framkommit, där eleverna inte ses som en grupp, utan som enskilda individer, vilka alla måste mötas personligt.
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