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.

Probing neurodynamics of experienced emotions-a Hitchhiker's guide to film fMRI.

Film functional magnetic resonance imaging (fMRI) has gained tremendous popularity in many areas of neuroscience. However, affective neuroscience remains somewhat behind in embracing this approach, even though films lend themselves to study how brain function gives rise to complex, dynamic and multivariate emotions. Here, we discuss the unique capabilities of film fMRI for emotion research, while providing a general guide of conducting such research.

Dynamic functional hippocampal markers of residual depressive symptoms in euthymic bipolar disorder.

Objectives: Bipolar disorder (BD) is a severe, chronic, affective disorder characterized by recurrent switching between mood states, psychomotor and cognitive symptoms, which can linger in euthymic states as residual symptoms. Hippocampal alterations may play a key role in the neural processing of BD symptoms. However, its dynamic functional connectivity (dFC) remains unclear.

Computational study of the relative stability of some glass-ionomer cement-forming molecules.

This work is part of a larger study whose main objective was to find a series of promising molecules to be used as glass-ionomer-type materials. The project was divided into 3 successive stages; the results of the first stage have been previously published and were used to continue the study. The molecules evaluated in the second stage were constructed by adding a glycidyl methacrylate molecule to the carboxylic groups of the polyacids selected in the previous stage.

Integrating HIV and substance misuse services: a person-centred approach grounded in human rights.

Integrating HIV-related care with treatment for substance use disorder provides an opportunity to better meet the needs of people living with these conditions. People with substance use disorder are rendered especially vulnerable by prevailing policies, structural inequalities, and stigmatisation. In this Series paper we analyse existing literature and empirical evidence from scoping reviews on integration designs for the treatment of HIV and substance use disorder, to understand barriers to and facilitators of care integration and to map ways forward.