Since the turn of the millennium, a large number of computational models of visual salience have been put forward. How best to evaluate a given model's ability to predict where human observers fixate in images of real-world scenes remains an open research question. Assessing the role of spatial biases is a challenging issue; this is particularly true when we consider the tendency for high-salie...

1 Methods for inference and interpretation of evolutionary quantitative genetic pa2 rameters, and for prediction of the response to selection, are best developed for traits 3 with normal distributions. Many traits of evolutionary interest, including many life 4 history and behavioural traits, have inherently non-normal distributions. The gen5 eralised linear mixed model (GLMM) framework has bec...

During the present investigation, 23 species of fish in Lithuanian inner waters were examined for helminth parasites. Of these, 63 taxa helminths – 56 Plathyhelminthes, five Nematoda, and two Acanthocephales found. Monogenea Gyrodactylus truttae was registered Lithuania first time. Metacercariae flukes Diplostomum sp., Posthodiplostomum cuticula, Tylodelphys clavata found highest number host sp...

Summary In this report, we introduce an R package KMgene for performing gene-based association tests for familial, multivariate or longitudinal traits using kernel machine (KM) regression under a generalized linear mixed model (GLMM) framework. Extensive simulations were performed to evaluate the validity of the approaches implemented in KMgene. Availability http://cran.r-project.org/web/pack...

Modeling individual heterogeneity in capture probabilities has been one of the most challenging tasks in capture-recapture studies. Heterogeneity in capture probabilities can be modeled as a function of individual covariates, but correlation structure among capture occasions should be taking into account. A proposed generalized estimating equations (GEE) and generalized linear mixed modeling (G...

Linear mixed models (LMM) and generalized linear mixed models (GLMM) are widely used in regression analyses. With the variance structure dependent on the random effects with their variance components, the parameter estimation of LMMs is more complicated than linear models (LM). Generally, we use maximum likelihood estimation (MLE) together with some procedure such as derivative free optimizatio...

The interconversion of hexose-6-phosphate and hexose-1-phosphate can be directly analyzed by high-performance anion-exchange chromatography coupled with an electrochemical detector (HPAEC-PAD). Thus, this method can be used to measure the activities of N-acetylglucosamine-phosphate mutase (AGM), glucosamine-phosphate mutase (GlmM) and phosphoglucomutase (PGM), which are the members of α-D-phosp...

ABSTRACT
 Premarital sexual behavior is that carried out between men and women without legal marriage. As the number of premarital sex increases, efforts need to take. One can do identify main factors contributing reducing or increasing by a Regression model. In context behavior, environmental influences cannot be ignored. GLMM used model data grouped into certain Groups, include environme...