Results 61 to 70 of about 20,376 (242)

Advanced Techniques for Scalable Woven E‐Textiles Manufacturing

Advanced Materials Technologies, EarlyView.
This review highlights recent advances in scalable weaving techniques for e‐textiles, emphasizing innovations in multilayer structures, conductive yarn integration, and loom modifications. It summarizes emerging materials, fabrication strategies, and performance considerations that enable reliable, durable, and industrially scalable woven electronic ...
Faisal Abedin, Seonyoung Youn, Amanda C. Mills   +2 more
wiley   +1 more source

Advances in Solid‐Phase Processing Techniques: Innovations, Applications, and Future Perspectives

Advanced Materials Technologies, EarlyView.
Based on practical manufacturing challenges, this review examines advanced solid‐phase processing techniques that overcome the inherent limitations of conventional melting‐based and traditional solid‐phase manufacturing, enabling the production of higher‐performance components at reduced cost through process innovation and improved supply‐chain ...
Tianhao Wang
wiley   +1 more source

Tinnitus Evaluation and The Role of Tinnitus Retraining Therapy (TRT) in the Management of Patients with Tinnitus and Decreased Sound Tolerance

African Journal of Biomedical Research
Ihsan Ahmad Bhat
openalex   +3 more sources

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth

Advanced Theory and Simulations, EarlyView.
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira, Milena Petković, Robert Menzel, Natasha Dropka   +3 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

Plant Robotics for Sustainable and Environmentally Friendly Robots: Insights from Actuation Characteristics

Advanced Science, EarlyView.
Plants are promising materials for building sustainable and eco‐friendly robots due to their inherent multifunctionality, with actuation playing a crucial role. This article focuses on the physical movements of plants and, from the perspective of actuation characteristics, explores representative plant species and their behaviors, the current state of ...
Kazuya Murakami, Misao Sato, Yu Ikeda, Tatsuhiro Horii, Yukari Nagatoshi, Miki Fujita, Toshinori Fujie, Yasunari Fujita, Jun Shintake   +8 more
wiley   +1 more source

Metabolomics responses and tolerance of Pseudomonas aeruginosa under acoustic vibration stress.

PLoS ONE
Sound has been shown to impact microbial behaviors. However, our understanding of the chemical and molecular mechanisms underlying these microbial responses to acoustic vibration is limited.
Nawaporn Vinayavekhin, Thanyaporn Wattanophas, Mark Francis Murphy, Alisa S Vangnai, Glyn Hobbs   +4 more
doaj   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source