Results 71 to 80 of about 9,804 (215)
Advanced Materials, EarlyView.A circular upcycling strategy transforms waste poly(ethylene terephthalate) bottles into microwave‐responsive Ni@C catalyst featuring lattice‐distorted nickel cores and defective carbon shells. These strain‐rich heterointerfaces enhance dielectric loss and promote localized microwave hotspots, accelerating peroxymonosulfate activation and polymer‐chain
Xiao Lu +7 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView.Imide substitution with bulky 2,6‐isopropylphenyl groups induces perylene diimide to self‐assemble on Ag(111) into a monolayer with two coexisting adsorption heights. Molecules closer to the substrate gain metallic character due to charge transfer from the metal, while farther ones remain decoupled and semiconducting.
Giacomo Agnesod +12 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger +9 more
wiley +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Advanced Robotics Research, EarlyView.Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
SoftwareX, 2019 This paper describes the Forest Conservation Targeting Tool (FCTT), a webtool for systematic conservation planning in countries with limited data, technical capacity, and financial resources.
Allen Blackman +3 more
doaj +1 more source
Asymmetry in Skipping Enhances Viability Against Control Input Noise
Advanced Robotics Research, EarlyView.Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley +1 more source
Systematic conservation planning and adaptive management
Koedoe: African Protected Area Conservation and Science, 2011 This article argues that systematic conservation planning (SCP) is an intrinsic part of the adaptive management approach within SANParks and should not be seen as a separate or different initiative.
Stephen D. Holness, Harry C. Biggs
doaj +1 more source
Waveguide Photoactuators: Materials, Fabrication, and Applications
Advanced Robotics Research, EarlyView.Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi +4 more
wiley +1 more source
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 +5 more
wiley +1 more source