875 resultados para Cost of maintenance


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Members of the LEF-1/TCF family of transcription factors have been implicated in mediating a nuclear response to Wnt signals by association with β-catenin. Consistent with this view, mice carrying mutations in either the Wnt3a gene or in both transcription factor genes Lef1 and Tcf1 were previously found to show a similar defect in the formation of paraxial mesoderm in the gastrulating mouse embryo. In addition, mutations in the Brachyury gene, a direct transcriptional target of LEF-1, were shown to result in mesodermal defects. However, direct evidence for the role of LEF-1 and Brachyury in Wnt3a signaling has been limiting. In this study, we genetically examine the function of LEF-1 in the regulation of Brachyury expression and in signaling by Wnt3a. Analysis of the expression of Brachyury in Lef1−/−Tcf1−/− mice and studies of Brachyury:lacZ transgenes containing wild type or mutated LEF-1 binding sites indicate that Lef1 is dispensable for the initiation, but is required for the maintenance of Brachyury expression. We also show that the expression of an activated form of LEF-1, containing the β-catenin activation domain fused to the amino terminus of LEF-1, can rescue a Wnt3a mutation. Together, these data provide genetic evidence that Lef1 mediates the Wnt3a signal and regulates the stable maintenance of Brachyury expression during gastrulation.

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Among fruit-fly species of the genus Drosophila there is remarkable variation in sperm length, with some species producing gigantic sperm (e.g., > 10 times total male body length). These flies are also unusual in that males of some species exhibit a prolonged adult nonreproductive phase. We document sperm length, body size, and sex-specific ages of reproductive maturity for 42 species of Drosophila and, after controlling for phylogeny, test hypotheses to explain the variation in rates of sexual maturation. Results suggest that delayed male maturity is a cost of producing long sperm. A possible physiological mechanism to explain the observed relationship is discussed.

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In this paper we present a study of the computational cost of the GNG3D algorithm for mesh optimization. This algorithm has been implemented taking as a basis a new method which is based on neural networks and consists on two differentiated phases: an optimization phase and a reconstruction phase. The optimization phase is developed applying an optimization algorithm based on the Growing Neural Gas model, which constitutes an unsupervised incremental clustering algorithm. The primary goal of this phase is to obtain a simplified set of vertices representing the best approximation of the original 3D object. In the reconstruction phase we use the information provided by the optimization algorithm to reconstruct the faces thus obtaining the optimized mesh. The computational cost of both phases is calculated, showing some examples.

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by Josephine A. Roche.

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Robert Luce, chairman.

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National Industrial Conference Board.

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"Addendum": 1 leaf laid in.

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At head of title: Department of Commerce. Bureau of Foreign and Domestic Commerce. E.E. Pratt, Chief ...

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At head of title: Department of Commerce. Bureau of Foreign and Domestic Commerce. E.E. Pratt, Chief ...