Results 161 to 170 of about 718,596 (262)

AI-assisted screening for mild cognitive impairment using routine EHR data: a Gradient Boosting approach. [PDF]

Front Neurol
Ye T, Peng J.
europepmc   +1 more source

Regulated Ion‐Diffusion Hydrogels for Subtle and Multimodal Temperature‐Strain Sensing in Wound Monitoring

Advanced Functional Materials, EarlyView.
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang, Xinglong Pan, Zhiwei Li, Wanheng Lu, Chang Liu, Yi Zhou, Guo Tian, Ghim Wei Ho   +7 more
wiley   +1 more source

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu, Zhenfeng Li, Yue Fei, Ali Mohammadi, Ge Li   +4 more
wiley   +1 more source

Developing an explainable machine learning model using body composition to predict cardiovascular mortality in initial dialysis patients: a multicenter study. [PDF]

Front Physiol
Wang XX, Wei JX, Yu TK, Zheng GH, Cao JY, Li M, Wang Y, Hou SM, Xu J, Yang XD, Wang B.   +10 more
europepmc   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems. [PDF]

Sci Rep
Swarnkar V, Ralhan S, Singh M, Parashar D, Singh M.   +4 more
europepmc   +1 more source

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

Advanced Functional Materials, EarlyView.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma, Ziyu Lv, Guohua Zhang, Zhongyue Xu, Yongbiao Zhai, Haiming Huang, Qiyan Zhang, Xiaojin Zhao, Yan Wang, Ye Zhou, Ziyu Xiong, Guanglong Ding, Wentao Xu, Su‐Ting Han   +13 more
wiley   +1 more source

Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery. [PDF]

World J Clin Cases
Hiramatsu R, Imaoka S, Minata S, Sako H, Sato N.   +4 more
europepmc   +1 more source

Temperature‐Robust Interphase Enables Carboxylate‐Ester Electrolyte for Stabilizing High‐Voltage Sodium Batteries

Advanced Functional Materials, EarlyView.
A synergistic electrolyte engineering strategy of employing ethyl acetate (EA) with vinylene carbonate (VC) as multifunctional additives is initially pioneered, making various as‐prepared high‐voltage wide‐temperature sodium batteries work well via the formation of a gradient and temperature‐robust interphase.
Huihua Li, Shuaijie Chang, Hongxu Qu, Jian Wang, Fanglin Wu, Minghua Chen, Huang Zhang   +6 more
wiley   +1 more source

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning. [PDF]

Open Heart
Chowdhury MRK, Dinh DT, Brennan A, Reid CM, Nanayakkara S, Lefkovits J, Chew DP, Karim MN, Moni MA, Islam MS, Billah B, Stub D.   +11 more
europepmc   +1 more source