Results 51 to 60 of about 56,160 (238)

Efficacy of Intermittent Theta‐Burst Stimulation for Prolonged Disorders of Consciousness: A Prospective, Randomized, Controlled Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu, Jun Hu, Qianqian Wu, Min Wu, Yamei Yu, Hangcheng Li, Jian Gao, Jingqi Li, Nai Ding, Jie Yu, Benyan Luo   +10 more
wiley   +1 more source

Crystallization Process Optimization Using Hybrid Tomographic Imaging and Deep Reinforcement Learning for Sustainable Energy Systems

Energies
Crystallization is a fundamental unit operation in chemical, pharmaceutical, and energy industries, where strict control of crystal size distribution (CSD) is essential for ensuring product quality and process efficiency.
Konrad Niderla, Tomasz Rymarczyk, Grzegorz Kłosowski, Monika Kulisz, Grzegorz Bartnik, Paweł Kaleta, Emanuel Józefacki, Dariusz Dudek   +7 more
doaj   +1 more source

Target focus capture system based on enhancement learning and impedance variable structure control

, 2023
Abstract For the robotic detecting and grasping of the digestive tract, a cyber-physical system of focus capturing based on a physician's vision and the high-performance robot impedance control method are proposed in this study. The structure of the cyber-physical system for the focus information is given, which includes the physician, the ...
Zhihuan Zhang, Chao Hu, Sheng Zhang
openaire   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Robot Learning Method for Human-like Arm Skills Based on the Hybrid Primitive Framework

Sensors
This paper addresses the issue of how to endow robots with motion skills, flexibility, and adaptability similar to human arms. It innovatively proposes a hybrid-primitive-frame-based robot skill learning algorithm and utilizes the policy improvement with
Jiaxin Li, Hasiaoqier Han, Jinxin Hu, Junwei Lin, Peiyi Li   +4 more
doaj   +1 more source

Variable-Impedance and Force Control for Robust Learning of Contact-rich Manipulation Tasks from User Demonstration

IFAC-PapersOnLine, 2020
Abstract This paper proposes a Cartesian variable-impedance and force controller that enables manipulators to track position and force references demonstrated by a user through kinesthetic teaching. The proposed approach deploys the variability of user demonstrations to adapt the compliance profile of the manipulator to uncertainties and utilizes ...
Enayati N., Mariani S., Wahrburg A., Zanchettin A. M.   +3 more
openaire   +1 more source

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

Human-Robot Interaction and Demonstration Learning Mode Based on Electromyogram Signal and Variable Impedance Control [PDF]

Mathematical Problems in Engineering, 2018
In this research, properties of variable admittance controller and variable impedance controller were simulated by MATLAB firstly, which reflected the good performance of these two controllers under trajectory tracking and physical interaction. Secondly, a new mode of learning from demonstration (LfD) that conforms to human intuitive and has good ...
Rui Wu, He Zhang, Tao Peng, Le Fu, Jie Zhao   +4 more
openaire   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source