Results 161 to 170 of about 3,396,076 (388)
Brazilian Journal of Cardiovascular Surgery, 2022 Silva, Emanuel Ângelo da +1 more
openaire +4 more sources
Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
Advanced Materials, EarlyView.This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho +5 more
wiley +1 more source
Journal of Coloproctology, 2014 Background: laparoscopic rectal surgery has not yet achieved a high penetration rate because of its steep learning curve and its relatively high conversion rate.
José Reinan Ramos +3 more
doaj
Computer-enhanced “robotic” cardiac surgery: Experience in 148 patients [PDF]
, 2001 F. Mohr +7 more
openalex +1 more source
Topology in Biological Piezoelectric Materials
Advanced Materials, EarlyView.This review summarizes the topological structures in biological piezoelectric materials, covering morphology evolution, spatial arrangement, and biomimetic strategies. These topologies modulate structure‐property relationships across multiple scales, enabling performance enhancement and multifunctional integration.
Chen Chen +7 more
wiley +1 more source
An image-directed robotic system for hip replacemetn surgery.
, 1990 Russell H. Taylor +9 more
openalex +2 more sources
Advanced Materials, EarlyView.Colonoscopic continuum robots lack sensing, endangering intestinal tissue. An ideal sensing array is hard to integrate. This work introduces a 3D crosslinked stretchable E‐armor with full‐coverage and multiplexing. It has bimodal sensing, forms a triboelectric synapse, uses CNN‐LSTM, and has a hydrogel and innovative triboelectric materials.
Yuyang Sun +8 more
wiley +1 more source
General-purpose foundation models for increased autonomy in robot-assisted surgery [PDF]
arXivThe dominant paradigm for end-to-end robot learning focuses on optimizing task-specific objectives that solve a single robotic problem such as picking up an object or reaching a target position. However, recent work on high-capacity models in robotics has shown promise toward being trained on large collections of diverse and task-agnostic datasets of ...
arxiv