957 resultados para learning organisation
Resumo:
L'organisation du premier livre de motets de Tomás Luis de Victoria, publié à Venise en 1572 chez les Fils d'Antonio Gardano (RISM V 1421), repose sur une stratification d'éléments divers mais complémentaires. Les pièces sont organisées en quatre groupes : quatorze à 4 voix, neuf à 5 voix, neuf à 6 voix et une à 8 voix. Elles forment des paires modales. Les derniers motets des groupes reposent sur des écritures individualisées (ad aequales, canon à l'unisson, Tenormotette, motet à double choeur). De plus, un jeu avec le nombre de parties, une et deux essentiellement, intervient entre les groupes et à l'intérieur. Les textes émanent de plusieurs rites (avilais, prétridentin et tridentin) et sources. Lorsque c'est nécessaire, le compositeur les remanie pour qu'ils s'adaptent à l'organisation du recueil. Au bout du compte, le livre veut être un objet ayant un certain poids et qui dit quelque chose de plus qu'une simple addition de pièces. C'est précisément ce dont a besoin le jeune compositeur pour prendre une place sur le marché du motet avec ce qui constitue son premier « opus ». Dans la dédicace qu'il signe lui-même, Victoria inscrit son édition dans la mouvance de la musica reservata puisqu'il la destine d'abord aux connaisseurs. Or, c'est précisément cette organisation complexe qui permet au musicien d'inscrire son recueil dans une lignée de publications savantes, initiées semble-t-il par le livre de motets à 5 voix d'Adrian Willaert, qui date de 1539.
Resumo:
Fragile X syndrome (FXS) is characterized by intellectual disability and autistic traits, and results from the silencing of the FMR1 gene coding for a protein implicated in the regulation of protein synthesis at synapses. The lack of functional Fragile X mental retardation protein has been proposed to result in an excessive signaling of synaptic metabotropic glutamate receptors, leading to alterations of synapse maturation and plasticity. It remains, however, unclear how mechanisms of activity-dependent spine dynamics are affected in Fmr knockout (Fmr1-KO) mice and whether they can be reversed. Here we used a repetitive imaging approach in hippocampal slice cultures to investigate properties of structural plasticity and their modulation by signaling pathways. We found that basal spine turnover was significantly reduced in Fmr1-KO mice, but markedly enhanced by activity. Additionally, activity-mediated spine stabilization was lost in Fmr1-KO mice. Application of the metabotropic glutamate receptor antagonist α-Methyl-4-carboxyphenylglycine (MCPG) enhanced basal turnover, improved spine stability, but failed to reinstate activity-mediated spine stabilization. In contrast, enhancing phosphoinositide-3 kinase (PI3K) signaling, a pathway implicated in various aspects of synaptic plasticity, reversed both basal turnover and activity-mediated spine stabilization. It also restored defective long-term potentiation mechanisms in slices and improved reversal learning in Fmr1-KO mice. These results suggest that modulation of PI3K signaling could contribute to improve the cognitive deficits associated with FXS.
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Audit report on the Muscatine Agricultural Learning Center for the year ended December 31, 2011 and the six months ended December 31, 2010
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At the University of Lausanne third-year medical students are given the task of spending a month investigating a question of community medicine. In 2009, four students evaluated the legitimacy of health insurers intervening in the management of depression. They found that health insurers put pressure on public authorities during the development of legislation governing the health system and reimbursement for treatment. This fact emerged during the scientific investigation led jointly by the team in the course of the "module of immersion in community medicine." This paper presents each step of their study. The example chosen illustrates the learning objectives covered by the module.
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Collection : Collection des principaux codes étrangers
Resumo:
Collection : Collection des principaux codes étrangers
Resumo:
This paper presents multiple kernel learning (MKL) regression as an exploratory spatial data analysis and modelling tool. The MKL approach is introduced as an extension of support vector regression, where MKL uses dedicated kernels to divide a given task into sub-problems and to treat them separately in an effective way. It provides better interpretability to non-linear robust kernel regression at the cost of a more complex numerical optimization. In particular, we investigate the use of MKL as a tool that allows us to avoid using ad-hoc topographic indices as covariables in statistical models in complex terrains. Instead, MKL learns these relationships from the data in a non-parametric fashion. A study on data simulated from real terrain features confirms the ability of MKL to enhance the interpretability of data-driven models and to aid feature selection without degrading predictive performances. Here we examine the stability of the MKL algorithm with respect to the number of training data samples and to the presence of noise. The results of a real case study are also presented, where MKL is able to exploit a large set of terrain features computed at multiple spatial scales, when predicting mean wind speed in an Alpine region.