5 resultados para Edwards, Tom

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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Es presenta un mètode de selecció d'orbitals atòmics relacionat amb la teoria de la Semblança Molecular Quàntica, que permet reduir l'espai actiu quan es vol dur a terme un càlcul a nivell d'Interacció de Configuracions per a l'àtom d'heli

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This dissertation involves a close reading of Springsteen’s lyrics in relation to the thematic concerns of the Tom Joad album. Enquiring into the sometimes multiple levels of significance that these lyrics can be seen to express, in order to show the manner in which Springsteen mirrors the broader thematic concerns of Steinbeck’s The Grapes of Wrath’ s novel but also adapts and reinterprets these themes for his own time. In this sense, I will try to underline the ways in which, for Springsteen’s vision of his country in the 1990’s, the presence of troublesome issues from decades before is one that can, in certain ways, still be seen, felt and experienced. It is in this manner that the ghost of Tom Joad is summoned

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We investigate chaotic, memory, and cooling rate effects in the three-dimensional Edwards-Anderson model by doing thermoremanent (TRM) and ac susceptibility numerical experiments and making a detailed comparison with laboratory experiments on spin glasses. In contrast to the experiments, the Edwards-Anderson model does not show any trace of reinitialization processes in temperature change experiments (TRM or ac). A detailed comparison with ac relaxation experiments in the presence of dc magnetic field or coupling distribution perturbations reveals that the absence of chaotic effects in the Edwards-Anderson model is a consequence of the presence of strong cooling rate effects. We discuss possible solutions to this discrepancy, in particular the smallness of the time scales reached in numerical experiments, but we also question the validity of the Edwards-Anderson model to reproduce the experimental results.

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Este trabajo estudia cómo La muerte de Montaigne, de Jorge Edwards, puede ser vista como un intento de convertir el escepticismo que caracteriza los Ensayos de Montaigne en un proyecto político de corte democrático. En la primera parte se realiza una breve historia de la recepción de la obra de Montaigne en la literatura y la política latinoamericana, mientras que en la segunda parte se analiza La muerte de Montaigne como un intento de trasplantar literaria y políticamente el escepticismo de los Ensayos a Latinoamérica.

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We propose a novel multifactor dimensionality reduction method for epistasis detection in small or extended pedigrees, FAM-MDR. It combines features of the Genome-wide Rapid Association using Mixed Model And Regression approach (GRAMMAR) with Model-Based MDR (MB-MDR). We focus on continuous traits, although the method is general and can be used for outcomes of any type, including binary and censored traits. When comparing FAM-MDR with Pedigree-based Generalized MDR (PGMDR), which is a generalization of Multifactor Dimensionality Reduction (MDR) to continuous traits and related individuals, FAM-MDR was found to outperform PGMDR in terms of power, in most of the considered simulated scenarios. Additional simulations revealed that PGMDR does not appropriately deal with multiple testing and consequently gives rise to overly optimistic results. FAM-MDR adequately deals with multiple testing in epistasis screens and is in contrast rather conservative, by construction. Furthermore, simulations show that correcting for lower order (main) effects is of utmost importance when claiming epistasis. As Type 2 Diabetes Mellitus (T2DM) is a complex phenotype likely influenced by gene-gene interactions, we applied FAM-MDR to examine data on glucose area-under-the-curve (GAUC), an endophenotype of T2DM for which multiple independent genetic associations have been observed, in the Amish Family Diabetes Study (AFDS). This application reveals that FAM-MDR makes more efficient use of the available data than PGMDR and can deal with multi-generational pedigrees more easily. In conclusion, we have validated FAM-MDR and compared it to PGMDR, the current state-of-the-art MDR method for family data, using both simulations and a practical dataset. FAM-MDR is found to outperform PGMDR in that it handles the multiple testing issue more correctly, has increased power, and efficiently uses all available information.