Results 201 to 210 of about 3,902,634 (293)

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

open access: yesAdvanced Science, EarlyView.
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo   +18 more
wiley   +1 more source

EphB1‐Mediated Transient Blood‐Brain Barrier Opening Facilitates a Ferritin‐Based Nanotherapeutic for Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
We constructed a brain‐targeted AFn‐DPZ nanodrug delivery system and identified EphB1 as its receptor on the blood‐brain barrier (BBB). This system facilitates drug transport across the BBB and thereby ameliorates cognitive impairment in Alzheimer's disease.
Shilin Wen   +5 more
wiley   +1 more source

Nanowires Reinforce Oriented Macroporous Aerogels for Rapid Uranium Removal from Acidic Radioactive Wastewater

open access: yesAdvanced Science, EarlyView.
A “reinforced concrete” structural aerogel with directional microchannels is engineered for rapid uranium capture. The interconnected architecture enables ultrafast water permeation, and the nanowire reinforcement yields a 70‐fold increase in mechanical strength.
Ze Liu   +8 more
wiley   +1 more source

Continuous‐Flow Microfluidic Synthesis Enhances C2+ Selectivity for Cu2O Catalysts

open access: yesAdvanced Science, EarlyView.
Microfluidic devices are used to prepare Cu2O nanoparticles under laminar flow conditions, which exhibit enhanced selectivity in the CO2‐to‐C2+ reaction due to their nanoporosity and high defect concentration. Cu2O prepared using standard solution methods displays decreased CO2‐to‐C2+ selectivity due to the absence of similar properties. Altogether, we
Carlota Casas   +16 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

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