Variation in benefit among patients with serious mental illness who receive integrated psychiatric and primary care
by Alexander S. Young, Jessica Skela, Evelyn T. Chang, Rebecca Oberman, Prabha Siddarth
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by Alexander S. Young, Jessica Skela, Evelyn T. Chang, Rebecca Oberman, Prabha Siddarth
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by Mitchell Holmes, Daniel Aalto, Jacqueline Cummine
IntroductionFunctional near-infrared spectroscopy (fNIRS) is a promising tool for studying brain activity, offering advantages such as portability and affordability. However, challenges in data collection persist due to factors like participant physiology, environmental light, and gross-motor movements, with limited literature on their impact on fNIRS signal quality. This study addresses four potentially influential factors–hair color... Читать дальше...
by Sohail A. K. Rao, James C. Carolan, Tom L. Wilkinson
by Qian Sun, Sohail Ahmad Javeed, Yong Tang, Yan Feng
by Sebastian Starystach, Dominik Dauner, Stefan Bär
by Mohammed F. Elnaggar, Armel Duvalier Péné, André Boussaibo, Fabrice Tsegaing, Alain Foutche Tchouli, Kitmo, Fabé Idrissa Barro
by Teite Rebecca Hildebrandt, Saskia Dede Davi, Anita Lumeka Kabwende, Lilian Rene Endamne, Esther Mehmel, Maximilian Rakotonirinalalao, Ayodele Alabi, Rella Zoleko Manego, Peter G. Kremsner, Bertrand Lell, Ayôla Akim Adegnika, Ghyslain Mombo-Ngoma, Johannes Mischlinger, Selidji Todagbe Agnandji, Michael Ramharter
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by Yared Mulu Gelaw, Gizachew Worku Dagnew, Getu Degu Alene, Jean-Pierre Gangneux, Florence Robert-Gangneux
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by Luciana I. Gómez Acuña, Ilya Flyamer, Shelagh Boyle, Elias T. Friman, Wendy A. Bickmore
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by David Pastor-Alonso, Maxime Berg, Franck Boyer, Natalie Fomin-Thunemann, Michel Quintard, Yohan Davit, Sylvie Lorthois
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by Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker
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by Tianqi Wei, Qinghai Guo, Barbara Webb
Animals can learn in real-life scenarios where rewards are often only available when a goal is achieved. This ‘distal’ or ‘sparse’ reward problem remains a challenge for conventional reinforcement learning algorithms. Here we investigate an algorithm for learning in such scenarios, inspired by the possibility that axo-axonal gap junction connections, observed in neural circuits with parallel fibres such as the insect mushroom body, could form a resistive network. Читать дальше...
by Giacomo Janson, Michael Feig
Intrinsically disordered proteins have dynamic structures through which they play key biological roles. The elucidation of their conformational ensembles is a challenging problem requiring an integrated use of computational and experimental methods. Molecular simulations are a valuable computational strategy for constructing structural ensembles of disordered proteins but are highly resource-intensive. Recently, machine learning approaches based on deep generative... Читать дальше...
by Shin-Han Shiu, Melissa D. Lehti-Shiu
Scientific advances due to conceptual or technological innovations can be revealed by examining how research topics have evolved. But such topical evolution is difficult to uncover and quantify because of the large body of literature and the need for expert knowledge in a wide range of areas in a field. Using plant biology as an example, we used machine learning and language models to classify plant science citations into topics representing interconnected, evolving subfields. Читать дальше...
For the first time, scientists observed matter’s freefall into a black hole’s “plunging region”
Guidelines call for better evidence on the health outcomes after living kidney donation. Author Amit X. Garg, MD, PhD, London Health Sciences Centre, and editorialist Elizabeth C. Lorenz, MD, Baylor College of Medicine, discuss a new study that compares the risks of hypertension and other health outcomes in living kidney donors, with JAMA Associate Editor Wolfgang Winkelmayer, MD, ScD.
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