Results 161 to 170 of about 31,305 (267)

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

EcoEnergy, EarlyView.
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao, Fengming Zhou, Xinying Li, Ying Deng, Zexing Wu, Siyuan Feng, Yujing Zhu, Dan Zhang, Zhenyu Xiao   +8 more
wiley   +1 more source

Network toxicology integrated with machine learning and SHAP analysis identifies overlapping immune signatures between Di(2-ethylhexyl) phthalate (DEHP) and Sjögren's syndrome. [PDF]

BMC Pharmacol Toxicol
Lili C, Zhongfu T, Ming L, Huang C.
europepmc   +1 more source

Regeneration failure, fire, topography, and climate interact to drive temperate wet forest landscapes into fire traps

Ecography, EarlyView.
Where early successional forests are more flammable than old‐growth forests, forested landscapes are vulnerable to shifting into ‘fire traps' through positive feedbacks, where fire leads to more fire. These feedbacks are amplified by increased flammability driven by climate change, the presence of non‐native flammable plant species, and slowed ...
George L. W. Perry, Craig E. Simpkins, Kiri Reihana, James M. R. Brock, Peter J. Bellingham   +4 more
wiley   +1 more source

Interpretable machine learning for cognitive impairment prediction in Parkinson's disease: a multicenter validation study with SHAP analysis. [PDF]

Front Aging Neurosci
Wang Z, Yan J.
europepmc   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source

A machine learning-based predictive model for mandibular third molar extraction difficulty: incorporating multimodal features and SHAP analysis. [PDF]

BMC Oral Health
Qiu P, Huang J, Zhang H, Liu S, Dong B, Zhang X.   +5 more
europepmc   +1 more source

Toward a Paradigm Shift in Low‐Temperature SCR Catalyst Design: Defect Engineering and Data‐Driven Integration

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan, Pinjing He, Fan Lü, Hua Zhang   +3 more
wiley   +1 more source

Predictive model of sleep disorders in pregnant women using machine learning and SHAP analysis. [PDF]

BMC Pregnancy Childbirth
Liu C, Lin Y, Wang L, Li H, Li Y, Yang D, Wang C, Yu Z, Wang H, Du Y, Guan S.   +10 more
europepmc   +1 more source

Electronic Structure Modulation in Dopant‐Controlled Single‐Atom Graphene Catalysts for Efficient Hydrogen Evolution: A Machine Learning and First‐Principles Study

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
First‐principles DFT calculations and machine learning analysis show that heteroatom doping of graphene (G) significantly enhances the stabilization of transition‐metal single atoms by strengthening metal–support interactions and increasing charge transfer. N‐doped G exhibits higher adsorption energies, lower d‐band centers, and shorter TM–G bonds than
Sajjad Ali, Pir Muhammad Ismail, Muhammad Humayun, Mohamed Bououdina   +3 more
wiley   +1 more source

An efficient non-invasive model for predicting cognitive impairment based on comprehensive geriatric assessment: Machine learning and SHAP analysis. [PDF]

J Alzheimers Dis Rep
Zhang J, Li W, Wen S, Zhang X, Gao Y, Feng Y, Lü Y.   +6 more
europepmc   +1 more source