Comprehensive study of Leon-Queretaro area

There are no author-identified significant results in this report

Fermion localization on degenerate and critical branes

In this work we analyze the localization of fermions on degenerate and critical Bloch branes. This is done directly on physical coordinates, in constrast to some works that has been using conformal coordinates. We find the range of coupling constants of the interaction of fermions with the scalar fields that allow us to have normalizable fermion zero-mode localized on the brane on both, critical and degenerate Bloch branes. In the case of critical branes our results agree with those found in [Class. Quantum Grav. \textbf{27} (2010) 185001]. The results on fermion localization on degenerate Bloch branes are new. We also propose a coupling of fermions to the scalar fields which leads to localization of massless fermion on both sides of a double-brane.Comment: 16 pages, 6 figure

Estimating Mutual Information

We present two classes of improved estimators for mutual information $M(X,Y)$, from samples of random points distributed according to some joint probability density $\mu(x,y)$. In contrast to conventional estimators based on binnings, they are based on entropy estimates from $k$-nearest neighbour distances. This means that they are data efficient (with $k=1$ we resolve structures down to the smallest possible scales), adaptive (the resolution is higher where data are more numerous), and have minimal bias. Indeed, the bias of the underlying entropy estimates is mainly due to non-uniformity of the density at the smallest resolved scale, giving typically systematic errors which scale as functions of $k/N$ for $N$ points. Numerically, we find that both families become {\it exact} for independent distributions, i.e. the estimator $\hat M(X,Y)$ vanishes (up to statistical fluctuations) if $\mu(x,y) = \mu(x) \mu(y)$. This holds for all tested marginal distributions and for all dimensions of $x$ and $y$. In addition, we give estimators for redundancies between more than 2 random variables. We compare our algorithms in detail with existing algorithms. Finally, we demonstrate the usefulness of our estimators for assessing the actual independence of components obtained from independent component analysis (ICA), for improving ICA, and for estimating the reliability of blind source separation.Comment: 16 pages, including 18 figure

Repeated measurement analyses of forages in cropping systems.

Repeated measurements (RM) are common in forage experiments. The data used in this study were accumulated ammonia losses by volatilization (N)and dry matter production (DM) of cynodon dactylon cv. Coastcross pasture from an experiment in blocs with five levels of urea: 0,25, 50, 100 and 200 kg of N ha , applied in five periods (Cuttings). For N, RM were the averages of cuttings and nine days of observation. The F test for the hypothesis of no affect for period and level x period interaction (DM) and for days interaction was not affected by univariate and multivariate tests. However, greenhouse-geisser epsilon estimate was biased downwards. Polynomial contrast in univariate ANOVA and logistic function agreed explaining acumulated N. For DM, uneaqual population variances on different was rejected and the assumption that pairs of observations on the same subject are equally correladet was rejected.200

Avaliação hematológica de tambaqui (Colossoma macropomum) alimentado com farelo do coco.

Resumo simples

Avaliação hematológica de tambaqui (Colossoma macropomum) após alimentação com torta de girassol.

Resumo simples

Efeito da alimentação com torta de dendê sobre os parâmetros hematológicos de tambaqui (Colossoma macropomum).

Resumo simples