Results 151 to 160 of about 108,176 (219)

A Sprayable Nanoplatform Breaks the Vicious Cycle of Diabetic Wounds via Photoactivated Antioxidant and Drug Delivery

open access: yesAdvanced Science, EarlyView.
A sprayable near‐infrared‐activated nanoplatform incorporating MXene, ZnHCF nanozyme, and deferoxamine efficiently breaks the vicious cycle of diabetic wounds. Upon irradiation, interfacial electron transfer and photothermal effects enhance multi‐enzyme activity, enabling explosive ROS elimination, alleviation of hypoxia, and controlled DFO release ...
Jiahao Guo   +5 more
wiley   +1 more source

High Free‐Volume Imidazole‐Based Ionomers for High‐Temperature Proton Exchange Membrane Fuel Cells

open access: yesAdvanced Science, EarlyView.
High free‐volume imidazole‐based ionomers (PF4IM‐72) enable enhanced phosphoric acid uptake and efficient proton transport, delivering peak power densities of 0.645 W cm−2 at 160 °C and 0.838 W cm−2 at 200 °C in HT‐PEMFCs. This work highlights a promising platform for next‐generation ionomers with improved high‐temperature performance and stability ...
Ge Chao   +7 more
wiley   +1 more source

Engineered Exosomal miR‐146a‐5p Reprograms BMSC Fate and Restores Mitochondrial Homeostasis in Glucocorticoid‐Induced Osteonecrosis of Femoral Head

open access: yesAdvanced Science, EarlyView.
Exosomal miR‐146a‐5p is identified as a pivotal regulator in steroid‐induced osteonecrosis. Its reduction activates NF‐κB signaling, compromises mitophagy, and disrupts mitochondrial bioenergetics, resulting in autophagic disequilibrium. Engineered exosomes delivering miR‐146a‐5p reinstate mitochondrial function, augment oxidative phosphorylation and ...
Zehui Lv   +13 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

open access: yesAdvanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu   +5 more
wiley   +1 more source

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