NEW DIGITAL TOOLS FOR ASSESSING NEUROPSYCHOLOGICAL EXECUTIVE FUNCTIONING IN OLD AND NEW ADDICTIONS. AN EXPLORATORY STUDY

New digital tools for assessing neuropsychological executive functioning in old and new addictions. an exploratory study

Introduction Nowadays new tools suitable for exploring executive functioning (EF) of behavioral addicted individuals are needed.Objectives This study tests a novel digital assessment battery that can be easily and remotely adopted by neuropsychologists working in the field of addiction.Methods Twenty-three participants were divided into two groups,

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Identifying the parameters of photovoltaic cells using Gaussian bare-bone imperialist competitive algorithm with opposition-based learning mechanism

Extracting the precise parameters of photovoltaic (PV) cells has become very important for simulation, evaluation, control, and optimization of PV systems.However, it is still a challenging task to accurately and reliably extract the parameters of PV cells.To solve this difficult problem, in this paper, a new meta-heuristic algorithm called Gaussia

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Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning

Abstract Background Cancer molecular subtyping plays a critical role in individualized patient priya gongura pickle treatment.In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes.Unfortunately, the existing ones suffer from the curse of dimensionality, data sparsity, and computa

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