FUNCTIONAL MAGNETIC RESONANCE IMAGING REVEALS DIFFERENT NEURAL SUBSTRATES FOR THE EFFECTS OF OREXIN-1 AND OREXIN-2 RECEPTOR ANTAGONISTS.

Functional magnetic resonance imaging reveals different neural substrates for the effects of orexin-1 and orexin-2 receptor antagonists.

Orexins are neuro-modulatory peptides involved in the control of diverse physiological functions through plastic masquerade masks interaction with two receptors, orexin-1 (OX1R) and orexin-2 (OX2R).Recent evidence in pre-clinical models points toward a putative dichotomic role of the two receptors, with OX2R predominantly involved in the regulation

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Genomic features, antimicrobial susceptibility, and epidemiological insights into Burkholderia cenocepacia clonal complex 31 isolates from bloodstream infections in India

IntroductionBurkholderia cepacia complex (Bcc) clonal complex (CC) 31, the predominant lineage causing devastating outbreaks globally, has been a growing concern of infections in non-cystic fibrosis (NCF) patients in India.B.cenocepacia is very challenging to treat owing to its virulence determinants and antibiotic resistance.Improving the manageme

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A Novel Functional Electrical Stimulation-Induced Cycling Controller Using Reinforcement Learning to Optimize Online Muscle Activation Pattern

This study introduces a novel controller based on a Reinforcement Learning (RL) algorithm for real-time adaptation of the stimulation pattern during FES-cycling.Core to our approach is the introduction of an RL agent that interacts with the cycling environment and learns through trial and error how to modulate the electrical charge applied to the s

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Machine learning algorithm for early-stage prediction of severe morbidity in COVID-19 pneumonia patients based on bio-signals

Abstract Background Paralysis of medical systems has emerged as a major problem not only in Korea but also globally because of the COVID-19 pandemic.Therefore, early identification and treatment of COVID-19 are crucial.This study aims to develop a machine-learning algorithm based on bio-signals that predicts the infection three days in advance befo

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