Results 141 to 150 of about 7,833,698 (252)

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

ACMA Communications report 2014-15

open access: yes, 2015
The ACMA\u27s annual Communications report provides valuable insights into Australia\u27s media and communications environment. How do we like to communicate? What\u27s changing? How are we embracing new technology?
Australian Communications and Media Authority
core  

Deconstruction of Human Age‐Related Cataract Capsules Defines Aging

open access: yesAdvanced Science, EarlyView.
We generate a comprehensive atlas of age‐related cataracts (ARC) at a single‐cell resolution, encompassing three disease states—mild cataract group (Mild), severe cortical cataract group (Severe_C), and severe nuclear cataract group (Severe_N). We find that ARC involves seven distinct lens capsule cell types, with notable differences in cellular ...
Qiaomei Tang   +9 more
wiley   +1 more source

Rare‐Earth–Sulfur Surface Modification Enables SiC Ceramics for Low‐Frequency Electromagnetic Wave Absorption in Extreme Environments

open access: yesAdvanced Science, EarlyView.
By altering surface chemical bonds to prolong relaxation time and shift absorption to lower frequencies, SiC/rare earth–sulfur (RE─S, RE = La, Ce, Pr, Sm, Gd, Er) materials achieve excellent low‐frequency electromagnetic wave absorption under extreme conditions, offering a new direction for designing high‐performance SiC‐based absorbers.
Zhanming Wu   +5 more
wiley   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park   +3 more
wiley   +1 more source

A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation

open access: yesAdvanced Science, EarlyView.
A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu   +6 more
wiley   +1 more source

Generation and Enhancement of Persistent Nanoscale Magnetization in All‐Dielectric Metasurfaces by Optically Injected and Localized Free Carriers

open access: yesAdvanced Science, EarlyView.
Infrared metasurface‐guided waves (IR‐MGW) scattered by a time interface (TI) induced by rapid, localized free‐carrier generation can be efficiently rectified to generate strong, persistent magnetic fields. We develop a rigorous, theoretical model to study a time‐varying, dispersive medium and uncover the redistribution of the initial energy of the IR ...
Shivaksh Rawat   +2 more
wiley   +1 more source

Hierarchical Multi‐Mode Computing in Interlayer‐Coupled 3D RRAM Crossbar Arrays

open access: yesAdvanced Science, EarlyView.
2‐deck RRAM crossbar array provides a versatile hardware platform for multifunctional in‐memory computing. Stacked, series, and entropy node configurations enable multi‐layer conductance modulation, logic‐in‐memory operation, genetic learning, and reconfigurable physical unclonable functions.
Seungman Park   +7 more
wiley   +1 more source

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

open access: yesAdvanced Science, EarlyView.
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr   +6 more
wiley   +1 more source

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