Results 81 to 90 of about 244,916 (294)

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

Advanced Science, EarlyView.
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo, Wei Wu, Huan Peng, Dan He, Yuxi Guo, Boyue Zhao, Xiaodan Wang, Li Ma, Yuhang Qin, Yifang Zhai, Lixia Zhuo, Ying Zhang, Yijie Guo, Linlin Jing, Fangyao Chen, Erfei Zhang, Wei Wang, Xiancang Ma, Yan Li   +18 more
wiley   +1 more source

Identification of novel CDK2 inhibitors by a multistage virtual screening method based on SVM, pharmacophore and docking model

Journal of Enzyme Inhibition and Medicinal Chemistry, 2020
Cyclin-dependent kinase 2 (CDK2) is the family of Ser/Thr protein kinases that has emerged as a highly selective with low toxic cancer therapy target. A multistage virtual screening method combined by SVM, protein-ligand interaction fingerprints (PLIF ...
Jing-Wei Liang, Ming-Yang Wang, Shan Wang, Shi-Long Li, Wan-Qiu Li, Fan-Hao Meng   +5 more
doaj   +1 more source

Monitoring of Huntington’s Disease Based on Wireless Sensing Technology

Applied Sciences, 2020
Huntington’s disease (HD) is a rare genetic disorder that cannot be cured by current medical techniques. With the development of the disease, the life of patients will become more and more difficult.
Qiyu Zhu, Lei Guan, Muhammad Bilal Khan, Xiaodong Yang   +3 more
doaj   +1 more source

CNN-SVM-based parasite egg counting

, 2019
1. trained weights for a CNN network to identify parasite eggs in McMaster fecal floatation microscope images. 2. MATLAB code to take CNN-processed images and extract morphometric parameters, which are then used in conjunction with an SVM classifier to ...
Mingzhai Sun (421973), Rui Zheng (313520), Yaning Li (3414194), Zachary Smith (4893058), Kaiqin Chu (304596)   +4 more
core   +1 more source

Multiclass Universum SVM

CoRR, 2018
We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We also propose an analytic span bound for model selection with almost 2-4x faster computation times than standard resampling techniques. We empirically demonstrate the efficacy of the proposed MUSVM formulation on several real
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah   +2 more
openaire   +2 more sources

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Study on the Influence of Emotion and Fatigue on Cognitive Function During Simulated Flight Based on ERP Technology

Journal of Integrative Neuroscience
Background: Pilots often experience mental fatigue during task performance, accompanied by fluctuations in positive (e.g., joy) and negative (e.g., tension) emotions.
Ruikai Zhao, Pengyan Zhou, Jinhan Liu, Yixuan Guan, Jiacheng Qian, Jiayi Bao   +5 more
doaj   +1 more source

Ajabeer/SVM-RCE-R-results-Omnibus-dataset: Supplementary Data for SVM-RCE-R with input tables

, 2020
Updated the repository with the input tables used in SVM-RCE ...
Ajabeer
core   +1 more source

Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform Toward Non‐Invasive Diagnostics

Advanced Science, EarlyView.
Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform toward Non‐Invasive Diagnostics is a nature‐inspired strategy that engineers controlled randomness within block copolymer lamellae to achieve optical isotropy without compromising nanoscale periodicity.
Jin Man Kim, Wonsik Kim, Wansun Kim, Yeon‐Hee Kim, Samjin Choi, Jang Hwan Kim, Hyeong Min Jin   +6 more
wiley   +1 more source