Results 221 to 230 of about 338,729 (282)

Constraint of Lignin–Carbohydrate Complex Orchestrated on Polyphenol in Oil–Water Interface Targeting Ulcerative Colitis Therapy

Advanced Science, EarlyView.
This study constructed the W1/O/W2 emulsion–based targeted therapy delivery system for ulcerative colitis (UC) utilizing LCC as surfactant for the first time. This multifunctional emulsion offered certain therapeutic advantages for UC, including targeted colonic delivery of active compounds, synergistic modulation of gut microbiota through combined ...
Qian Wu, Xingyu Zhang, Jingjia Zhang, Gaohui Huang, Chen Zhou, Chunlin Li, Xiaojun Huang, Jianbo Xiao, Nianjie Feng, Yuanbin She   +9 more
wiley   +1 more source

Random forests for survival data: which methods work best and under what conditions? [PDF]

Int J Biostat
Berkowitz M, Altman RM, Loughin TM.
europepmc   +1 more source

Microstructure‐Resolved Modeling to Predicting and Regulating Lithium Plating‐Stripping Dynamics on Graphite Electrodes

Advanced Science, EarlyView.
ABSTRACT The lithium plating reaction in graphite electrodes acts as a root cause for the accelerated degradation and the internal short circuits in lithium‐ion batteries. Here, an electrochemical model based on multi‐scale microstructural images was established to identify lithium plating‐stripping processes, thereby supporting the predictive outcomes
Heng Huang, Yang Li, Xinyu Liu, Zhifu Zhou, Wei‐Tao Wu, Lei Wei, Chengzhi Hu, Linsong Gao, Yubai Li, Yongchen Song   +9 more
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

Improving dengue fever predictions in Taiwan based on feature selection and random forests. [PDF]

BMC Infect Dis
Kuo CY, Yang WW, Su EC.
europepmc   +1 more source

A Hydrogen‐Releasing Nanozyme Engineers a Mitochondrial ROS Amplifier for Self‐Sustaining Catalytic Immunotherapy

Advanced Science, EarlyView.
We developed a RhPd‐H nanozyme that integrates enhanced POD‐mimetic catalytic activity with thermally triggered H2 release. H2 shields and reprograms mitochondria to continuously leak endogenous ·O2−. This dual‐path ROS spatially and temporally disrupts redox homeostasis, inducing persistent oxidative stress for tumor suppression and antitumor immunity,
Mingfan Shi, Jingrui Cao, Tong Wu, Guang Yang, YaWen Yang, Shixin Zhang, Wenwen Su, Hongyu Chu, Yangyang Zhao, Shan Jiang, Qiong Wu, Dongxu Jiao, Fangfang Chen   +12 more
wiley   +1 more source

Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments. [PDF]

PLoS Comput Biol
VanderDoes J, Marceaux C, Yokote K, Asselin-Labat ML, Rice G, Hywood JD.   +5 more
europepmc   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

Advanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu, Linggang Zhu, Jian Zhou, Zhimei Sun   +3 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

Random forests with parametric entropy-based information gains for classification and regression problems. [PDF]

PeerJ Comput Sci
Ignatenko V, Surkov A, Koltcov S.
europepmc   +1 more source