Results 121 to 130 of about 151,868 (248)

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Decoding the Cellular Heterogeneity and Malignant Progression of Human Penile Squamous Cell Carcinoma by Single‐Cell RNA Sequencing

Advanced Science, EarlyView.
Single‐cell transcriptomic and functional analyses identify SEMA3C as a key regulator of tumor progression and tumor microenvironment remodeling in penile squamous cell carcinoma. SEMA3C promotes epithelial–mesenchymal transition, tumor growth, and invasion while shaping an immunosuppressive microenvironment, highlighting its potential as a prognostic ...
Xiheng Hu, Wensheng Shi, Liang Dong, Lingjuan Huang, Xiyuan Zhang, Yiting Feng, Jie Sun, Lanlan Liu, Teng Liu, Jun Fu, Bowen Zhong, Qihao Leng, Xiaohua Wu, Minfeng Chen, Lingfang Li, Yuan Li, Xin Jin, Long Wang, Jian Cao, Xin Li, Mingzhu Yin, Xiang Chen   +21 more
wiley   +1 more source

MSMGE-CNN: a multi-scale multi-graph embedding convolutional neural network for motor related EEG decoding

Machine Learning: Science and Technology
Deep learning technique has been widely used for decoding motor related electroencephalography (EEG) signals, which has considerably driven the development of motor related brain–computer interfaces (BCIs).
Binren Wang, Minmin Miao, Ke Zhang, Wenzhe Liu, Zhenzhen Sheng, Baoguo Xu, Wenjun Hu   +6 more
doaj   +1 more source

EEG-Based Gait Phase Decoding From Combined Action Observation and Motor Imagery

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Gait recovery is a crucial component of stroke rehabilitation. While Brain-Computer Interfaces (BCIs) decoding motor intent from motor imagery (MI) have shown success, their application in the area of gait phase decoding remains limited. Combining Action
Aravind Ravi, Ning Jiang, James Tung
doaj   +1 more source

Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics

Advanced Science, EarlyView.
This study identifies ecologically‐valid Divergent Emotional Functional Networks (DEFN), derived from dynamic functional connectivity during naturalistic movie watching. The DEFN reliably enhances diagnostic accuracy for mood disorders, including major depressive and bipolar disorders, demonstrating strong reproducibility across demographic factors and
Shuyue Xu, Linling Li, Ting Luo, Gan Huang, Li Zhang, Benjamin Becker, Zhen Liang   +6 more
wiley   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

Advanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang, Jie Zhu, Zequn Ding, Zhiyuan Xie, Xingchen Liu, Feihong Zhang, Xiaojun Liu, Yan Zhang, Haiyan Chen   +8 more
wiley   +1 more source

Artificial Tactile Perception System for Exploring Internal and External Features of Objects via Time‐Frequency Features

Advanced Science, EarlyView.
By engaging in different active exploration behaviors, the tactile perception system can generate distinct signal modes, enabling the application of targeted decoding strategies for efficient and accurate perception of both external and internal object features.
Yuanzhi Zhou, Jingqi Zhang, Linyi Li, Muxing Huang, Ziyi Zhang, Xingmin Lu, Zilan Li, Xuchun Gui, Xinming Li   +8 more
wiley   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

vEMINR: Ultra‐Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation

Advanced Science, EarlyView.
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang, Jie Huo, Muyu Liu, Chenjie Feng, Yan Zhang, Gang Pan, Wenjia Meng, Renmin Han   +7 more
wiley   +1 more source