Results 181 to 190 of about 6,746,909 (332)

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

open access: yesAdvanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu   +6 more
wiley   +1 more source

Nanoarchitectonics of Porous Carbons Templated by Inorganic Metal Oxides and Alkali Metal Salts for Energy and Environmental Applications

open access: yesAdvanced Science, EarlyView.
This review explores inorganic metal oxides and metal salt nanoparticles templated porous carbons, highlighting their synthesis, structural features, and performance in energy and environmental applications. It critically compares template types, porosity control, and functional outcomes across recent literature.
Gurwinder Singh   +8 more
wiley   +1 more source

Selenoprotein H Functions as a PPARα Coactivator to Link Selenium Homeostasis to Hepatic Lipid Metabolism and Protect against Steatohepatitis

open access: yesAdvanced Science, EarlyView.
Our study identifies selenium deficiency as a hallmark of MASH pathogenesis. Dietary selenium supplementation enhances hepatic fatty acid oxidation (FAO) and attenuates MASH progression by activating the PPARα pathway via selenoprotein H (SELENOH). This selenium‐SELENOH‐PPARα nexus redefines the functional scope of selenoproteins, moving from redox ...
Yuwei Zhang   +11 more
wiley   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

open access: yesAdvanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu   +5 more
wiley   +1 more source

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

open access: yesAdvanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang   +9 more
wiley   +1 more source

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