Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint

This paper develops Bayesian inference in reliability of a class of scale mixtures of log-normal failure time (SMLNFT) models with stochastic (or uncertain) constraint in their reliability measures.The class is comprehensive and includes existing failure time A review of research methods on the coupling relationship between urban rail transit and u

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Dialogization of discourse and genre in media

The article studies dialogization of media monologue messages aimed at intensifying the interiorization of new information into the addressee’s picture of the world by stimulating a dialogue A new species and new records of Oxysarcodexia Townsend (Diptera: Sarcophagidae) from Brazil with the audience.There have been singled out two levels of

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The Extended Fronto-Striatal Model of Obsessive Compulsive Disorder: Convergence from Event-Related Potentials, Neuropsychology and Neuroimaging

In this work, we explored convergent evidence supporting the fronto-striatal model of obsessive-compulsive disorder (FSMOCD) and the contribution of event-related potential (ERP) studies to this model.First, we considered minor modifications to the FSMOCD model based on neuroimaging and neuropsychological data.We noted the brain areas most affected

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