Results 181 to 190 of about 36,818 (256)

Arthropod‐Inspired Miniature Modular Vibration Direct‐Drive Robot With Untethered Locomotion

Advanced Science, EarlyView.
This work presents an arthropod‐inspired untethered miniature modular vibration direct‐drive robot. By utilizing standardized driving units and nested locking interfaces, on‐demand reconfiguration into quadruped, hexapod, octopod, and circular morphologies is achieved.
Shijing Zhang, Ziteng Liu, Youwei Liu, Dehong Wang, Yingxiang Liu   +4 more
wiley   +1 more source

Pathology-prior driven substructure-aware graph neural network for whole slide image classification. [PDF]

Sci Rep
Wu J, Jiang D.
europepmc   +1 more source

Anode‐Free Sodium Metal Batteries: From Materials Design to System‐Level Integration

Advanced Science, EarlyView.
Anode‐free sodium metal batteries hold no sodium reserve, so every inefficiency becomes permanent loss. Resolving the inventory into reversible, dead, and chemically bound fractions exposes what Coulombic efficiency hides. Practical 500‐cycle operation requires above 99.95%, a threshold few systems meet under lean electrolyte and high areal capacity ...
Hamid Hussain, Shazaib Ali, Muhammad Ali, Samia Aman, Moazzam Ali, Ufra Naseer, Sajid Farooq, Asif Mahmood, Sailing He, Yinzhu Jiang, Muhammad Yousaf   +10 more
wiley   +1 more source

HMA-GCA: hybrid manifold augmentation and gated cross-attention for circRNA-miRNA interaction prediction. [PDF]

Bioinformatics
Hu Y, Wang Y, Bai Y, Xu L, Zou Q, Zhou H, Wang C, Niu M.   +7 more
europepmc   +1 more source

Multi‐Layer Transcriptomic Comparison Across Human, Pig, and Mouse Informs Tissue‐ and Trait‐Specific Animal Model Selection

Advanced Science, EarlyView.
We integrated RNA‐seq data from humans, pigs, and mice across 15 matched tissues based on 14 910 one‐to‐one orthologous genes. Cross‐species similarity was systematically evaluated across multiple regulatory layers, including global co‐expression conservation, co‐expression networks, tissue‐specific programs, and 3D genome architecture.
Jingwen Dou, Yong Liao, Xiong Shen, Xin Huang, Zhenshuang Tang, Yuwei Gou, Huajun Zhou, Jingya Xu, Hong Liu, Yue Wang, Keke Liang, Jia Liu, Xiao Zhang, Chenyao Li, Shangjian Wang, Liangliang Fu, Lilin Yin, Xinyun Li, Shuhong Zhao, Xiaolei Liu, Jingjin Li, Yuhua Fu   +21 more
wiley   +1 more source

MacroTox: A Macroscopic Graph Topology-Based Multimodal Learning Framework for Robust Molecular Toxicity Prediction. [PDF]

JACS Au
Huang H, Wang Q, Zhang M, Dou P, Yang X, Li H, Li S.   +6 more
europepmc   +1 more source

Bioenergetic Materials for Tissue Regeneration: Modulating Metabolism to Promote Cellular Anabolism

Advanced Science, EarlyView.
Bioenergetic materials (BEMs) modulate cellular metabolism to promote tissue regeneration. Their principal mechanisms of action include metabolic substrate supplementation, metabolic enzyme modulation, organelle transfer, electrical current regulation, redox homeostasis modulation, and oxygen tension modulation.
Yuchen He, Yuwen Wang, Jonathan F. Gong, Yiting Lei, Fei Jin, Weihong Zhu, Rocky S. Tuan, Zhong Alan Li   +7 more
wiley   +1 more source

Emotion Recognition Based on Fusion of Topological Features and Trajectory Images Derived from EEG Phase Space Reconstruction. [PDF]

Sensors (Basel)
Liang T, Zhu X, Song Y.
europepmc   +1 more source

Intrinsic Superprotonic Conduction in Metal‐Free Hydrogen‐Bonded Organic–Inorganic Frameworks

Advanced Science, EarlyView.
A simple hybridization strategy yields a suite of metal‐free hydrogen‐bonded organic‐inorganic frameworks (HOIFs) with dense, uninterrupted hydrogen‐bonded networks that possess intrinsically high superprotonic conductivity, establishing a versatile and scalable platform for high‐performance solid‐state proton conductors.
Jin Chen, Yongqiang Cheng, Simon J. Teat, Gobin Raj Acharya, Roknuzzaman Roknuzzaman, Wensong Yu, Yucong Xia, Weston C. Swallow, Xiaoying Huang, Xiaodong Yang, Thomas J. Emge, Kui Tan, Andrew J. Nieuwkoop, Lawrence J. Williams, Jing Li   +14 more
wiley   +1 more source

Research on fault diagnosis of substation grounding grid based on graph neural network and multi source information fusion. [PDF]

PLoS One
Pu X, Ding H, Zhong L, Chen X.
europepmc   +1 more source