Results 271 to 280 of about 2,299,815 (385)
Safety and efficacy of robot-assisted latissimus dorsi flap harvesting for immediate partial breast reconstruction following breast-conserving surgery. [PDF]
Lee S.
europepmc +1 more source
This study presents an injectable hydrogel that responds to Pseudomonas aeruginosa infection by releasing a dual‐phage cocktail on demand. The system degrades selectively in infected wounds, enhances phage localization and stability, and shows potent antibiofilm activity and biocompatibility in an ex vivo human skin model—offering a promising strategy ...
Siyuan Tao +9 more
wiley +1 more source
Designing Personalization Cues for Museum Robots: Docent Observation and Controlled Studies. [PDF]
Yoon H, Kim MG, Kim S, Suh JH.
europepmc +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Monocular Visual Measurement System Uncertainty Analysis and One-Step End-End Estimation Upgrade. [PDF]
Zhou K, Chu W, Zhao P.
europepmc +1 more source
Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation
Micro/nanofiber porous materials have engendered great interest in the thermal insulation field. Herein, the structural designs, fabrication techniques, and applications of the micro/nanofiber thermal insulation materials are systematically summarized.
Xiaobao Gong +5 more
wiley +1 more source
Robots and HSI in Robotics [PDF]
openaire +1 more source
Human-facility interaction improving people's understanding of service robots and elevators - system design and evaluation. [PDF]
Adachi M, Kakio M.
europepmc +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source

