Results 171 to 180 of about 602,374 (329)

A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics

Advanced Science, EarlyView.
Biodegradable materials are gaining increasing attention in soft robotics and electronics due to their environmental friendliness, showing great potential for sustainability. In this review, the classification of biodegradable materials, their applications in the field of soft robotics and electronics, as well as the challenges and future prospects ...
Yizhu Xie, Jiaxin Han, Xingyi Dai, Xuyang Zhang, Kangwen Xiao, Junhui Huang, Yajun Cao, Aihua Zhong, Long‐Biao Huang   +8 more
wiley   +1 more source

A prediction model for microseismic signals based on kernel extreme learning machine optimized by Harris Hawks algorithm. [PDF]

Sci Rep
Zhu W, Bian Y, Lin D, Liu L, Chen H, Liang G.   +5 more
europepmc   +1 more source

Multi‐Omics Reveal the Dysregulated Gut‐Joint Axis in Knee Synovitis: Data from Two Osteoarthritis Studies in China

Advanced Science, EarlyView.
The “gut‐joint axis” in knee synovitis is uncovered. Integrated multi‐omics studies are conducted in two independent osteoarthritis cohorts. Synovitis is characterized an increased F/B ratio, as well as alterations of 3‐HIA, geranic acid, and TWEAK. Upregulated TWEAK receptor is found in high‐grade synovitis, and inversely correlated with lower TWEAK ...
Xiaoshuai Wang, Yi Liu, Ziying Sun, Jia Li, Zhihao Lu, Jiayuan Huang, Shixian Hu, Peihua Cao, Xiaolong Cao, Shangru Li, Jianzhao Ruan, Jinhui Liu, Jingyu Xie, Haitao Sun, Tianyu Chen, Shengfa Li, Zhaohua Zhu, Zhibo Wen, Rocky S. Tuan, David John Hunter, Zhong Alan Li, Dongquan Shi, Changhai Ding   +22 more
wiley   +1 more source

Complex Environmental Geomagnetic Matching-Assisted Navigation Algorithm Based on Improved Extreme Learning Machine. [PDF]

Sensors (Basel)
Huang J, Hu Z, Yi W.
europepmc   +1 more source

Retraction: Cerebral microbleed detection via convolutional neural network and extreme learning machine. [PDF]

Front Comput Neurosci, 2023
Frontiers Editorial Office.
europepmc   +1 more source

An Innovative Artificial Intelligence-Based Extreme Learning Machine Based on Random Forest Classifier for Diagnosed Diabetes Mellitus [PDF]

Dimas Chaerul Ekty Saputra, Elvaro Islami Muryadi, Raksmey Phann, Irianna Futri, Lismawati Lismawati   +4 more
openalex   +1 more source

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

Advanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu   +5 more
wiley   +1 more source

LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans. [PDF]

PLoS One
Khan AH, Li J, Asghar MN, Iqbal S.
europepmc   +1 more source

Interpretable Machine Learning for Daily Precipitation Forecasting: Spatiotemporal Dynamics and Extreme Event Prediction in New Jersey

Gandhi, Fenil
openalex   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source