Results 161 to 170 of about 24,836 (263)

Impact of heated tobacco products on biomarkers of potential harm and adverse events: a systematic review and meta-analysis. [PDF]

Tob Control
Braznell S, Dance S, Hartmann-Boyce J, Gilmore A.   +3 more
europepmc   +1 more source

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

Advanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang, Shengxin Lu, Guangyong Zheng, Shensuo Li, Hongyu Chen, Mei Hong, Xiangru Zhou, Ruotian Tang, Ye Wu, Weidong Zhang, Dong Lu, Xin Luan   +11 more
wiley   +1 more source

California's forest products industry: 1994.

, 1997
James O. Howard, Franklin R. Ward
openaire   +3 more sources

Tea tree recognition based on multi-source satellite data across Southeast China. [PDF]

Front Plant Sci
Cong N, Zhao R, Qiu Y, Zhao C.
europepmc   +1 more source

NLSS3 Impairs SHM1 Autophagic Degradation to Regulate Leaf Morphology and Salt Tolerance in Rice

Advanced Science, EarlyView.
In rice, NLSS3 binds and shields SHM1 from autophagic degradation to maintain serine homeostasis. The A132P mutation in nlss3 disrupts this, triggering SHM1 loss, metabolic dysfunction, K+ imbalance, and impaired ROS scavenging, which collectively drive narrow leaves and salt sensitivity.
Xiong Liu, Yulu Yang, Zhiqi Hao, Jing Xu, Huibo Zhao, Qiang Zhang, Deyong Ren, Xia Li, Guojun Dong, Lan Shen, Li Zhu, Jiang Hu, Zhenyu Gao, Qing Li, Qian Qian, Guangheng Zhang   +15 more
wiley   +1 more source

Explainable AI-Driven Quality and Condition Monitoring in Smart Manufacturing. [PDF]

Sensors (Basel)
Ahangar MN, Farhat ZA, Sivanathan A, Ketheesram N, Kaur S.   +4 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Accounting of provincial horizontal carbon eco-compensation standard under multiple participation scenarios. [PDF]

Carbon Balance Manag
Chen J, Wang K, Yang C, Wang H, Bai Y.
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Regional Cultivation Forms of <i>Hericium erinaceus</i> Across China's Climatic Zones: A Scoping Review and Analytical Lens for Climate-Adaptive Production. [PDF]

J Fungi (Basel)
Yang D, Zhu L, Zheng Q.
europepmc   +1 more source