Results 161 to 170 of about 6,931,270 (290)

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

Clinical Teaching Models in Traditional Chinese Medicine: Historical Evolution and Contemporary Integration. [PDF]

J Eval Clin Pract
Liu T, Zhao P, Wu X, Rong Y, Li M.
europepmc   +1 more source

Synergy of Pd Clusters and TiO2 {101} for Photocatalytic Nonoxidative Coupling of Methane

Advanced Science, EarlyView.
This study presents photocatalytic nonoxidative coupling of methane over cal‐Pd0.05/TiO2{101}, achieving near 100% selectivity and long‐term stability under mild flow conditions through synergistic single atoms and clusters catalysis. ABSTRACT Photocatalytic nonoxidative coupling of methane (NOCM) offers a sustainable route to valorize CH4 into C2 ...
Jianlong Yang, Annika S. Tang, Junwang Tang   +2 more
wiley   +1 more source

THE EFFECT OF IONTOPHORETIC PHENTOLAMINE ON ACUPUNCTURE INHIBITORY EFFECT ON NOCICEPTIVE RESPONSE IN DORSAL HORN NEURONS

针刺研究, 1985
Zhu Lixia, Institute of Acupuncture and Moxibustion, Academy of Traditional Chinese Medicine, Beijing   +3 more
doaj   +2 more sources

Integrative Management of Premenstrual Dysphoric Disorder: The Role of Traditional Chinese Medicine. [PDF]

Depress Anxiety
Xu M, Chen J.
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

Pharmacological Mechanisms of Active Constituents from Traditional Chinese Medicine for Vitiligo Treatment. [PDF]

Pharmaceuticals (Basel)
Hamiti A, Geng Y, Huang P, Xie J, Cui T.
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

OBSERVATION AND ANALYSIS ON PHENOMENA OF PROPAGATED SENSATION ALONG THE CHANNELS (PSC) IN AMPUTATEE

针刺研究, 1984
He Guangxin Department of Channel Research f Beijing insntitute of Traditional Chinese Medicine
doaj   +2 more sources

Traditional Chinese medicine [PDF]

Reactions Weekly, 2016
openaire   +2 more sources