Results 171 to 180 of about 175,851 (269)

Diversity of the Genus <i>Xylaria</i> in European Atlantic Lauroid Forest: New Records and Description of Eight New Species. [PDF]

open access: yesLife (Basel)
De la Peña-Lastra S   +4 more
europepmc   +1 more source

GPR124 Alleviates Blood–Brain Barrier Disruption by Enhancing Microvascular Endothelial Function after Traumatic Brain Injury

open access: yesAdvanced Science, EarlyView.
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang   +13 more
wiley   +1 more source

Soil Inorganic Electron Acceptors and Carbon Substrates Hierarchically Govern Wetland Methanogenesis Temperature Response

open access: yesAdvanced Science, EarlyView.
ABSTRACT Wetlands constitute Earth's largest natural methane (CH4) source, yet projections of their climate feedback remain uncertain due to poorly constrained temperature sensitivity (Q10‐CH4) of microbial methanogenesis. While water table dynamics have been demonstrated to regulate wetland methanogenesis by altering key soil conditions such as ...
Shuying Qiu   +6 more
wiley   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

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