Tele-neuropsychological multidomain assessment in Italian people with cognitive disorders: Reliability and user satisfaction.

Background: Tele-neuropsychology has already been employed in neurocognitive disorders, however, in Italy, the evidence of its psychometric quality and satisfaction is still limited.

Objective: This study aimed to: (1) evaluate the reliability of a standardized battery of neuropsychological screening and domain-specific tests delivered at home via videoconference to a sample of Italian people with cognitive disorders, compared with traditional face-to-face administration; (2) assess the feasibility and satisfaction about remote administration.

Methods: This crossover study enrolled patients with subjective cognitive disorder, mild neurocognitive disorder, or dementia.

Deep reinforcement learning using deep-Q-network for Global Maximum Power Point tracking: Design and experiments in real photovoltaic systems.

This paper presents a methodology for integrating Deep Reinforcement Learning (DRL) using a Deep-Q-Network (DQN) agent into real-time experiments to achieve the Global Maximum Power Point (GMPP) of Photovoltaic (PV) systems under various environmental conditions. Conventional methods, such as the Perturb and Observe (P&O) algorithm, often become stuck at the Local Maximum Power Point (LMPP) and fail to reach the GMPP under Partial Shading Conditions (PSC). The main contribution of this work is the experimental validation of the DQN agent's implementation in a synchronous DC-DC Buck converter (step-down converter) un-der both uniform and PSC conditions.

GPT-4-based AI agents-the new expert system for detection of antimicrobial resistance mechanisms?

Unlabelled: The European Committee on Antimicrobial Susceptibility Testing (EUCAST) recommends two steps for detecting beta-lactamases in Gram-negative bacteria. Screening for potential extended-spectrum beta-lactamase (ESBL), plasmid-mediated AmpC beta-lactamase, or carbapenemase production is confirmed. We aimed to validate generative pre-trained transformer (GPT)-4 and GPT-agent for pre-classification of disk diffusion to indicate potential beta-lactamases.

Towards multimodal cognition-based treatment for cognitive impairment in Parkinson's disease: drugs, exercise, non-invasive brain stimulation and technologies.

Purpose Of Review: Cognitive impairment is one of the most challenging non-motor symptoms of Parkinson's disease (PD) and may occur during all PD stages. There are no established pharmacological treatments for PD-related cognitive impairment, which may be improved by cognition-based interventions (i.e.