Results 121 to 130 of about 212,585 (292)
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen +7 more
wiley +1 more source
Heating and cooling energy demand account for nearly half of the global energy consumption. SH and RC offer sustainable, zero‐energy strategies, but single‐mode devices lack adaptability. 3D dual‐mode devices, exploiting axial, flipping, and bending deformations, provide reversible switching with dynamic or passive control, representing a promising ...
Su Eon Lee +5 more
wiley +1 more source
Japan is pursuing power source decarbonization and is thus reducing fuel‐based thermal power generation while promoting renewable energy resource use. Given the expected power fluctuations, this transition will require novel voltage management and control methods.
Satoshi Uemura +2 more
wiley +1 more source
Objective: The aim was to evaluate the pharmacokinetics and underlying mechanisms of peramivir, a clinically approved antiviral agent for severe influenza, subsequent to airway inhalation in rats, thereby surmounting the constraints associated with the ...
Liuhan Dong +5 more
doaj +1 more source
ABSTRACT Fumonisin B1 (FB1), a mycotoxin commonly found in contaminated food and feed, has been increasingly implicated in neurotoxicity, although its mechanisms remain poorly understood. This study investigates the neurotoxic potential of FB1 in human SH‐SY5Y neuroblastoma cells, both undifferentiated and RA‐differentiated, and evaluates the ...
Gianluca Antonio Franco +6 more
wiley +1 more source
Delivery Strategies for Colchicine as a Critical Dose Drug: Reducing Toxicity and Enhancing Efficacy
Colchicine (COL), a widely used natural drug, has potent anti-inflammatory effects; however, as a narrow therapeutic index drug, its clinical application is limited by its serious gastrointestinal adverse effects, and only oral formulations are currently
Yaran Lei +6 more
doaj +1 more source
Abstract Background Veterinary practices provide exceptional patient care and client support when there is effective teamwork between veterinary nurses and veterinarians. However, the frequency of this interprofessional collaboration has not been measured. Methods A cross‐sectional online survey, using the Nurse‒Physician Collaboration Scale to measure
Samantha J. Fontaine +3 more
wiley +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source

