Version 2.0.1 por Msc. Ing. Sergio Ramón Toledo Gallardo del 10 de junio de 2015
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Para texnicCenter Usar makeindex y habilitar usar bibtex
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We revisit the results of the recent Reproducibility Project: Psychology by the Open Science Collaboration. We compute Bayes factors—a quantity that can be used to express comparative evidence for an hypothesis but also for the null hypothesis—for a large subset (N = 72) of the original papers and their corresponding replication attempts. In our computation, we take into account the likely scenario that publication bias had distorted the originally published results. Overall, 75% of studies gave qualitatively similar results in terms of the amount of evidence provided. However, the evidence was often weak (i.e., Bayes factor < 10). The majority of the studies (64%) did not provide strong evidence for either the null or the alternative hypothesis in either the original or the replication, and no replication attempts provided strong evidence in favor of the null. In all cases where the original paper provided strong evidence but the replication did not (15%), the sample size in the replication was smaller than the original. Where the replication provided strong evidence but the original did not (10%), the replication sample size was larger. We conclude that the apparent failure of the Reproducibility Project to replicate many target effects can be adequately explained by overestimation of effect sizes (or overestimation of evidence against the null hypothesis) due to small sample sizes and publication bias in the psychological literature. We further conclude that traditional sample sizes are insufficient and that a more widespread adoption of Bayesian methods is desirable.
La generación de numeros aleatorios por computadora es de vital importancia para muchas ramas del conocimiento, como por ejemplo, la simulacion de gases, fluidos y por supuesto en la criptografia. Esto ha ocasionado el desarrollo de varias tecnicas para generarlos. A continuacion analizamos algunos algoritmos que consideramos son muy buenos por varios motivos.
This document aims to recognize the existence of some national health information systems, particularly in the emergency department. Also aims to understand all the functions as well all their interactions with other systems. We enumerate some of these information systems at national level, based our information in instruction manuals, scientific articles and websites of the respective entities. Analysing the whole national reality, we conclude that there are several information systems in the emergency department having as objetive the provision and improvement of health of the patient. This diversity of systems reflects in several problems, like the interoperability, that influences the delivery of care.