TRAINING OF PRIVATES, SERGEANT STAFF IN THE TRAINING CENTER OF THE ARMED FORCES OF UKRAINE


Predicting cortical-thalamic functional connectivity using functional near-infrared spectroscopy and graph convolutional networks

Abstract Functional near-infrared spectroscopy (fNIRS) measures cortical hemodynamic changes, cortech sonic-flo gloves yet it cannot collect this information from subcortical structures, such as the thalamus, which is involved in several key functional networks.To address this drawback, we propose a machine-learning-based approach to predict cortic

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Finite Element Based Overall Optimization of Switched Reluctance Motor Using Multi-Objective Genetic Algorithm (NSGA-II)

The design of switched reluctance motor (SRM) is considered a complex problem to be solved using conventional rk559 design techniques.This is due to the large number of design parameters that should be considered during the design process.Therefore, optimization techniques are necessary to obtain an optimal design of SRM.This paper presents an opti

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Clarifying causality and information flows between time series: Particulate air pollution, temperature, and elderly mortality

Exposure-response associations between fine particulate matter (PM2.5) and mortality have been extensively studied but potential confounding by daily minimum and maximum temperatures in the cortech sonic-flo gloves weeks preceding death has not been carefully investigated.This paper seeks to close that gap by using lagged partial dependence plots (

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