Results 61 to 70 of about 93,042 (232)

Alzheimer's Disease Risk Factor APOE4 Exerts Dimorphic Effects on Female Bone

Advanced Science, EarlyView.
In aging bone, osteocytes accumulate neurodegenerative risk factor Apolipoprotein E (APOE). A humanized version of the Alzheimer's disease risk allele APOE4 altered the mouse bone transcriptome and proteome, with effects in female bone surpassing the brain, including bone fragility due to suppressed osteocytic maintenance of bone quality, identifying ...
Charles A. Schurman, Gurcharan Kaur, Serra Kaya, Joanna Bons, Carlos Galicia Aguirre, Qi Liu, Christina D. King, Kenneth A. Wilson, Harrison L. Baker, Mikayla Hady, Nadja Maldonado Luna, Gregor Bieri, Saul A. Villeda, Lisa M. Ellerby, Birgit Schilling, Tamara Alliston   +15 more
wiley   +1 more source

A bibliography of research on behavioral decision processes to 1968 [PDF]

Bibliography of research of human behavioral decision making processes to Jan ...
Edwards, W.
core   +1 more source

Lithiation‐Driven LiCrSe2 Shell Growth on Metallic CrSe2 Core Governs the Plateau–Slope Behavior

Advanced Science, EarlyView.
Layered CrSe2 is investigated as a lithium‐ion battery cathode combining fast Li+ diffusion and structural reversibility. Calculations and experiments reveal a single topotactic intercalation process with a characteristic plateau–slope profile governed by lithiation‐induced conductivity changes. A core‐shell lithiation evolution underpins its high‐rate
Weihao Li, Johannes Döhn, Xiao Han, Licheng Zhang, Dave M. Pickup, Xiong Xiao, Yidong Miao, Arun Kumar Samuel, Emily R. Draper, Alan V. Chadwick, Stephen Sproules, Stephen Cottrell, Alan J. Drew, Changhua An, Axel Groß, Alexey Y. Ganin   +15 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Liver‐Targeted Gallium‐Polyphenol Network by Disrupting the ROS/NETs/PANoptosis Axis for Precision Acute Liver Injury Therapy

Advanced Science, EarlyView.
ABSTRACT Acute liver injury (ALI), driven by diverse insults such as drug toxicity and ischemia‐reperfusion, poses a high mortality risk and lacks targeted therapies. While reactive oxygen species (ROS), neutrophil extracellular traps (NETs), and a coordinated cell death pathway PANoptosis have been implicated, their interplay as a unified pathogenic ...
Xiaopeng Cai, Jian He, Jingwen Deng, Ziwei Wang, Zhongshu Wu, Kaiyue Wang, Xiang Zheng, Zhenzhen Gao, Xi Ma, Shumei Wei, Xiangrong Hu, Yuan Ding, Weilin Wang, Min Zhou   +13 more
wiley   +1 more source

Interplay of Crystallization and Amorphous Spinodal Decomposition During Thermal Annealing of Organic Photoactive Layers

Advanced Science, EarlyView.
Phase‐Field simulations are carried out to elucidate nanomorphology formation mechanisms in organic photoactive layers under thermal annealing. The predicted bulk heterojunction structures are in excellent agreement with Scanning Electron Microscopy measurements.
Maxime Siber, Olivier J. J. Ronsin, Gitti L. Frey, Jens Harting   +3 more
wiley   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

A Biomimetic Lubricant Captures Hyaluronic Acid In Situ to Regenerate Cartilage: From Bench to Bedside

Advanced Science, EarlyView.
(a) The outstanding lubricative properties of natural articular cartilage arise from a composite coating composed of HA, lubricin, and phospholipids at its surface. Notably, lubricin facilitates the enrichment of synovial HA onto cartilage surfaces, and HA complexes with phospholipids, a key component to maintain extremely low friction under high ...
Yongan Lin, Zijian Yan, Jiayi Chen, Xiaochao Wang, Ruibin Lin, Yunqi Fu, Zhaoying Lv, Bohui Wu, Xuewei Cao, Renjian Xie, Ming Dong, Chenxiao Zheng, Li Ren   +12 more
wiley   +1 more source