Abstract: Rapidly-exploring random tree star (RRT*) has attracted intensive attention in track planning due to its asymptotic optimal properties. However, the RRT* algorithm plans costly trajectory ...
Background The role of mineralocorticoid receptor antagonists (MRAs) in acute myocardial infarction (MI) remains ...
Abstract: By evaluating intricate datasets to maximize plant growth, boost yields, and advance sustainability, smart agriculture—powered by Random Forest machine learning—is transforming botany.
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...
Al-Gahtani, S. (2026) Review of Literature Investigating the Correlation between Prevalence of Risk Factors Associated with ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Objective: Although physical exercise is widely recognized as an effective non-pharmacological intervention for depressive symptoms, the relative efficacy of different exercise modalities and the ...
1 Department of Orthopedics and Research Institute of Orthopedics, West China Hospital, Sichuan University, Chengdu, China 2 Department of Orthopedics, West China Hospital, Sichuan University, Chengdu ...
Methods: We conducted a 2-week exploratory randomized controlled trial (RCT) with 160 adult participants randomized to receive a generative AI (n=81) or rules-based (n=79) version of a ...
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