In this study, the generalized linear model (GLM) and four ensemble methods (partial least squares (PLS), boosting, bagging, Bayesian) were applied to predict forest fire hazard in Chalus Rood watershed Mazandaran Province, Iran. Data from 108 historical events collected through field surveys as basis of analysis. About 70% data used for training models, while remaining 30% was testing. A total...

BACKGROUND Growing experimental evidence suggests an important role for cross-frequency coupling in neural processing, in particular for phase-amplitude coupling (PAC). Although the details of methods to detect PAC may vary, a common procedure to estimate the significance level is the comparison of observed values to those of at least 100 surrogate time series. When scanning large parts of the ...

A novel framework for analysing task-positive data in magnetoencephalography (MEG) is presented that can identify task-related networks. Techniques that combine beamforming, the Hilbert transform and temporal independent component analysis (ICA) have recently been applied to resting-state MEG data and have been shown to extract resting-state networks similar to those found in fMRI. Here we exte...

the aim of this study was to evaluate the differences between cold carcass weights (ccw) for the catalan pyrenean horse (cavall pirinenc català) breed according to different variables: area of origin, farm, gender and age. linear regression models were applied using a generalized linear model (glm) procedure for ccw of 397 animals (217 males and 180 females) slaughtered in a commercial abattoir...

Functional magnetic resonance imaging (fMRI) exploits blood-oxygen-level-dependent (BOLD) contrasts to map neural activity associated with a variety of brain functions including sensory processing, motor control, and cognitive and emotional functions. The general linear model (GLM) approach is used to reveal task-related brain areas by searching for linear correlations between the fMRI time cou...

Structural equation modeling (SEM) grows out of and serves purposes similar to multiple regression, but in a more powerful way which takes into account the modeling of interactions, nonlinearities, correlated independents, measurement error, correlated error terms, multiple latent independents each measured by multiple indicators, and one or more latent dependents also each with multiple indica...

Formality is an important dimension of language style. Texts of different genres tend to have different degrees of formality. F-score (formality-score) is a most popular measure for formality to differ genres. It uses a method of combining proportions of words of different types, with nouns, adjectives, articles and prepositions as positive elements, and adverbs, verbs and interjections as nega...

In this paper, we present a simple combinatorial proof of a Weyl type formula for hook Schur polynomials, which has been obtained by using a Kostant type cohomology formula for glm|n. In general, we can obtain in a combinatorial way a Weyl type formula for various highest weight representations of a Lie superalgebra, which together with a general linear algebra forms a Howe dual pair.

A linear model for the genotypic covariance between relatives under assortative mating comprising the "classical linear model" and the model of "selective assortative mating" is proposed. The general conditions on the genetical and developmental mechanisms of quantitative characters, as well as on selection and the mating system, on which the model is based, are explicitly stated and discussed....