964 resultados para Méthode de Box-Jenkins


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Objectifs : Evaluer une méthode simple et rapide de mesure du volume atrial gauche. Matériels et méthodes : Cinquante patients ont été examinés avec un CT gaté pour mesure du score calcique. Trois méthodes ont été utilisées pour calculer le volume atrial gauche : 1) une méthode orthogonale avec mesure des surfaces/diamètres dans les plans axiaux/coronaux/sagittaux, 2) une méthode biplan inspirée de l'échocardiographie et 3) une méthode volumétrique. Les mesures ont été faites par le même observateur un mois plus tard et ont été répétées par trois autres observateurs. L'axe cardiaque a aussi été mesuré. La méthode Bland-Altmann et les corrélations de Spearman ont été utilisées. Résultats : La méthode volumétrique montre les variations intra/interobservateur les plus basses avec une variabilité de 6,1/7,4 ml, respectivement. Pour les mesures avec la méthode orthogonale (surfaces/diamètres), les variations intra/interobservateur sont 12,3/13,5 ml et 14,6/11,6 ml, respectivement. Pour la méthode biplan, les variations intra/interobservateur sont plus hautes : 23,9/19,8 ml. Comparée à la méthode de référence volumétrique, la méthode orthogonale avec les surfaces est mieux corrélée (R=0,959, p<0,001) que les autres méthodes. Il y a une faible influence de l'axe du coeur sur la méthode orthogonale avec les surfaces. Conclusion : La méthode volumétrique est le gold standard en terme de variabilité. Cependant elle est longue à metttre en oeuvre. La méthode orthogonale avec les surfaces est une alternative simple, sauf chez les patients obèses avec un coeur horizontalisé.

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Habitat restoration measures may result in artificially high breeding density, for instance when nest-boxes saturate the environment, which can negatively impact species' demography. Potential risks include changes in mating and reproductive behaviour such as increased extra-pair paternity, conspecific brood parasitism, and polygyny. Under particular cicumstances, these mechanisms may disrupt reproduction, with populations dragged into an extinction vortex. With the use of nuclear microsatellite markers, we investigated the occurrence of these potentially negative effects in a recovered population of a rare secondary cavity-nesting farmland bird of Central Europe, the hoopoe (Upupa epops). High intensity farming in the study area has resulted in a total eradication of cavity trees, depriving hoopoes from breeding sites. An intensive nest-box campaign rectified this problem, resulting in a spectacular population recovery within a few years only. There was some concern, however, that the new, high artificially-induced breeding density might alter hoopoe mating and reproductive behaviour. As the species underwent a serious demographic bottleneck in the 1970-1990s, we also used the microsatellite markers to reconstitute the demo-genetic history of the population, looking in particular for signs of genetic erosion. We found i) a low occurrence of extra-pair paternity, polygyny and conspecific brood parasitism, ii) a high level of neutral genetic diversity (mean number of alleles and expected heterozygosity per locus: 13.8 and 83%, respectively) and, iii) evidence for genetic connectivity through recent immigration of individuals from well differentiated populations. The recent increase in breeding density did thus not induce so far any noticeable detrimental changes in mating and reproductive behaviour. The demographic bottleneck undergone by the population in the 1970s-1990s was furthermore not accompanied by any significant drop in neutral genetic diversity. Finally, genetic data converged with a concomitant demographic study to evidence that immigration strongly contributed to local population recovery.

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Black-box optimization problems (BBOP) are de ned as those optimization problems in which the objective function does not have an algebraic expression, but it is the output of a system (usually a computer program). This paper is focussed on BBOPs that arise in the eld of insurance, and more speci cally in reinsurance problems. In this area, the complexity of the models and assumptions considered to de ne the reinsurance rules and conditions produces hard black-box optimization problems, that must be solved in order to obtain the optimal output of the reinsurance. The application of traditional optimization approaches is not possible in BBOP, so new computational paradigms must be applied to solve these problems. In this paper we show the performance of two evolutionary-based techniques (Evolutionary Programming and Particle Swarm Optimization). We provide an analysis in three BBOP in reinsurance, where the evolutionary-based approaches exhibit an excellent behaviour, nding the optimal solution within a fraction of the computational cost used by inspection or enumeration methods.

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British mammalogists have used two different systems for surveying the common dormouse Muscardinus avellanarius: a modified bird nest box with the entrance facing the tree trunk, and a smaller, cheaper model called a "nest tube". However, only few data comparing different nest box systems are currently available. To determine which system is more efficient, we compared the use of the large (GB-type) and small nest boxes (DE-type, a commercial wooden mouse trap without a door) in three Swiss forest. The presence of Muscardinus, potential competitors, and any evidence of occupation were examined in 60 pairs of nest boxes based on 2,280 nest box checks conducted over 5 years. Mean annual occupation and cumulative numbers of Muscardinus present were both significantly higher for the DE than for the GB boxes (64.6% versus 32.1%, and 149 versus 67 dormice, respectively). In contrast, the annual occupation by competitors including Glis glis, Apodemus spp. and hole-nesting birds was significantly higher in the GB than in the DE boxes in all forest (19-68% versus 0-16%, depending on the species and forest). These results suggest that smaller nest boxes are preferred by the common dormouse and are rarely occupied by competitors. These boxes hence appear to be preferable for studying Muscardinus populations.

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Transforming growth factor-beta (TGF-beta) and its related proteins regulate broad aspects of body development, including cell proliferation, differentiation, apoptosis and gene expression, in various organisms. Deregulated TGF-beta function has been causally implicated in the generation of human fibrotic disorders and in tumor progression. Nevertheless, the molecular mechanisms of TGF-beta action remained essentially unknown until recently. Here, we discuss recent progress in our understanding of the mechanism of TGF-beta signal transduction with respect to the regulation of gene expression, the control of cell phenotype and the potential usage of TGF-beta for the treatment of human diseases.