Results 201 to 210 of about 166,399 (264)

Nanoparticle-Enabled Plasma Proteomics of Experimental Atherosclerosis in Mice. [PDF]

JACC Basic Transl Sci
Delwarde C, Matamalas JT, Chelvanambi S, Kasai T, Shlayen G, Santinelli-Pestana DV, Zamani M, Aikawa E, Aikawa M, Singh SA.   +9 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Conversion of Omega-6 to Omega-3 Fatty Acids Protects Against Liver Injury in a Murine Model. [PDF]

J Surg Res
Wang SZ, Hirsch TI, Pan A, Fernandes D, Quigley M, Ayash J, Fligor SC, Tsikis ST, Mitchell PD, Gura KM, Puder M.   +10 more
europepmc   +1 more source

Symmetry‐Driven Unconventional Magnetoelectric Coupling in Perovskite Altermagnets: From Bulk to the Two‐Dimensional Limit

Advanced Science, EarlyView.
The symmetry‐driven coexistence of altermagnetism and (anti)ferroelectricity in perovskites shows a strong dimensional dependence. Upon reducing the system from bulk to the two‐dimensional limit, only C‐type antiferromagnetic order retains ferroelectrically switchable altermagnetism, whereas A‐ and G‐type orders become conventional antiferromagnets ...
Zhou Cui, Ziye Zhu, Xunkai Duan, Bowen Hao, Xianzhang Chen, Jiayong Zhang, Tong Zhou   +6 more
wiley   +1 more source

The metabokine β-aminoisobutyric acid mediates exercise performance and skeletal muscle adaptation through a PGC1α-BAIBA-PPARδ axis. [PDF]

Nat Commun
Daou HN, Watt NT, Gad SA, MacCannell AD, Ali A, Cheng C, Fernando RL, Futers TS, Khetarpal SA, Gallagher H, Chinait LD, Moriscot AS, Knuiman P, Manusama K, Mensink M, Teh I, Schneider JE, Cubbon R, Taylor GS, West DJ, Beech DJ, Bowen TS, Roberts LD.   +22 more
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Impact of high-fat Western diet on chronic lymphocytic leukemia disease progression and gut microbiome profile in Eµ-TCL1 mice. [PDF]

Front Oncol
Skupa SA, Hernandez JB, Smith AL, Drengler EM, Rai J, Pan J, Seth AK, Rai SN, Clayton JB, D'Angelo CR, El-Gamal D.   +10 more
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Profiles of Anxiety in Children Undergoing Elective Surgery: Predictors and Perioperative Outcomes. [PDF]

Dev Psychobiol
Poole KL, Chow CHT, Buckley N, Reddy D, Van Lieshout RJ, Schmidt LA.   +5 more
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source