this study focuses on the effect of social and cultural determinants on generation gap in tehranian families in 2011. the purpose of this study is to determine effective factors on generation gap in tehranian families, analytical and empirical patterns and be surveyed by related theories and effective factors. the research was prepared by questions including whether there is a relationship betw...

Heterogeneity of (co)variances for US Jersey linear and final scores was investigated with data from February 2000 USDA genetic evaluations. (Co)variances were estimated from datasets defined by parity, contemporary group size, and mean final score. First-appraisal scores during first or second parity from records that included all traits were studied. Contemporary groups within each parity wer...

Effects of nine generations of 450r per generation of ancestral spermatogonial X irradiation of inbred rats on genetic parameters of body weight at 3, 6, and 10 weeks of age and of weight gains between these periods were studied. Covariances among relatives were estimated by mixed model and regression techniques in randomly selected lines with (R) and without (C) radiation history. Analyses of ...

Brain is the most energetically demanding organ of the body, and is thus vulnerable to even modest decline in ATP generation. Multiple neurodegenerative diseases are associated with decline in mitochondrial function, e.g., Alzheimer's, Parkinson's, multiple sclerosis and multiple neuropathies. Genetic variances in the mitochondrial genome can modify bioenergetic and respiratory phenotypes, at b...

This work explores the speaker verification using fixed phrase short utterances. A novel speaker verification system using Gaussian posteriorgrams is proposed in which the posteriorgram vectors are computed from speaker specific Gaussian mixture model (GMM). The enrollment utterances for each of the target speakers are labeled with GMM trained on the corresponding speaker’s data. The test trial...

This study is concerned with the estimation of the parameters of the general (or generalised) extreme value (GEV) distribution by the methods of maximum likelihood (ML) and probability-weighted moments (PWM) for complete and type I censored samples. For complete samples, the PWM provided estimators which are less biased than the ML estimators. For the variances/covariances of the parameter esti...

Computing the linear least-squares estimate of a high-dimensional random quantity given noisy data requires solving a large system of linear equations. In many situations, one can solve this system efficiently using the conjugate gradient (CG) algorithm. Computing the estimation error variances is a more intricate task. It is difficult because the error variances are the diagonal elements of a ...

How does network topology affect neural coding? We approached this question with a large parametric study simulating clustered network topologies of cortical excitatory spiking neurons with inhibitory interneurons, while taking into account variance in axonal length and spike propagation times. To evaluate the stability of rate coded information, we systematically varied within cluster conducti...

In this paper we assume that strategic payoffs are Normal distribution, and discuss how the parameters of Normal distributions affect the NE payoff distribution that is also concerned by players. We find that distortions of NE payoff distributions are dominated by the distance between variances of strategic payoffs in small means cases and the variances of the dominantly strategic payoffs in la...

Computing the linear least-squares estimate of a high-dimensional random quantity given noisy data requires solving a large system of linear equations. In many situations, one can solve this system e ciently using a Krylov subspace method, such as the conjugate gradient (CG) algorithm. Computing the estimation error variances is a more intricate task. It is di cult because the error variances a...