Results 171 to 180 of about 36,209 (267)

Explainable deep learning for healthcare workforce attrition: a methodological study on the Watson healthcare synthetic benchmark. [PDF]

Front Public Health
Yin D, Lu X, Mei T.
europepmc   +1 more source

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

Exploring predictors of low nutritional literacy in maintenance hemodialysis patients: a machine learning and network analysis approach. [PDF]

Front Public Health
Yao L, Liu Y, Tan X, Chen S, Fang Y.
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

What gets Redditors talking? Predicting discussion initiation and size on Reddit. [PDF]

PLoS One
Lynch C, Livan G.
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

Risk factors for prolonged respiratory support in late preterm infants: a LASSO-Cox regression analysis. [PDF]

Front Pediatr
Huang Y, Bao XS, Sun N, Li K, Huang CC, Zhang SF.   +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

Heterogeneity in risk and potential pathogenic associations of NAFLD among distinct prediabetic phenotypes in young and middle-aged adults. [PDF]

Front Endocrinol (Lausanne)
Zheng B, Li C, Fang Z, Xu W, Xiao F, Su L, Chen X, Xiang Y.   +7 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