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http://dx.doi.org/10.1016/j.jpain.2023.12.012 | DOI Listing |
J Chem Inf Model
September 2025
Songshan Lake Materials Laboratory, Dongguan 523808, PR China.
Large language models (LLMs) have demonstrated transformative potential for materials discovery in condensed matter systems, but their full utility requires both broader application scenarios and integration with ab initio crystal structure prediction (CSP), density functional theory (DFT) methods and domain knowledge to benefit future inverse material design. Here, we develop an integrated computational framework combining language model-guided materials screening with genetic algorithm (GA) and graph neural network (GNN)-based CSP methods to predict new photovoltaic material. This LLM + CSP + DFT approach successfully identifies a previously overlooked oxide material with unexpected photovoltaic potential.
View Article and Find Full Text PDFConserv Biol
September 2025
Alfred Toepfer Academy for Nature Conservation, Schneverdingen, Germany.
The importance of social science to address the human dimensions of natural resource management is increasingly recognized in the conservation field, yet the application of associated concepts, theories, methods, and data remains underrepresented in parts of Europe. Common barriers and gaps, persistent over decades, including institutional constraints, work environment, different cultures and languages between natural and social science disciplines, lack of qualified personnel, and an accessible professional community, are often cited as underlying and driving factors. To better understand, contextualize, and inform solutions for wider use of social science, we analyzed interactions with conservation researchers and practitioners across a series of organized events from 2018 to 2023 (e.
View Article and Find Full Text PDFStroke
September 2025
Brain Language Laboratory, Freie Universität Berlin, Germany (A.-T.P.J., M.R.O., A.S., F.P.).
Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-dependent signals indicate persistence in brain activity patterns and may relate to learning and levels of depression. This observational study investigates blood oxygenation level-dependent LRTC changes alongside therapy-induced language and mood improvements in perisylvian and domain-general brain areas.
View Article and Find Full Text PDFCochrane Database Syst Rev
September 2025
Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada.
Background: Opioid use disorder (OUD) is commonly treated in specialized care settings with long-acting opioid agonists, also known as opioid agonist therapy, or OAT. Despite the rise in opioid use globally and evidence for a 50% reduction in mortality when OAT is employed, the proportion of people with OUD receiving OAT remains small. One initiative to improve the access and uptake of OAT could be to offer OAT in a primary care setting; primary care clinics are more numerous, might reduce the visibility and potential stigma of receiving treatment for OUD, and may facilitate the care of other medical conditions that are unrelated to OUD.
View Article and Find Full Text PDFFront Hum Neurosci
August 2025
Signal Processing Laboratory (LTS5), École Polytechnique Féderale de Lausanne (EPFL), Lausanne, Switzerland.
Introduction: Absence of language development is a condition encountered across a large range of neurodevelopmental disorders, including a significant proportion of children with autism spectrum disorder. The neurobiological underpinnings of non-verbal ASD (nvASD) remain poorly understood.
Methods: This study employed multimodal MRI to investigate white matter (WM) microstructural abnormalities in nvASD, focusing on language-related pathways.