IEEE

Quad Rapidly-Exploring Random Tree Star Algorithm With Improved Potential Force for Unmanned Aerial Vehicle Path Planning

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 ...
AlphaGalileo

Deep learning unlocks fast, non-destructive monitoring of lettuce pigments

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...
Open Heart

Mineralocorticoid receptor antagonists for acute myocardial infarction: a systematic review and meta-analysis of randomised controlled trials

Background The role of mineralocorticoid receptor antagonists (MRAs) in acute myocardial infarction (MI) remains ...
IEEE

BOTANZ: Improving Agricultural Efficiency Through Random Forest Algorithms

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.

Research Reveals the Optimal Way to Optimize

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Westgold Divests Mt Henry-Selene Gold Project for $64.6M

Non-Core Asset Divestment Aligns with Westgold's Strategy to Focus on Larger, Core Operating Assets Highlights Westgold has ...
Scientific Research Publishing

Research on Autonomous Localization and Navigation Simulation of Hospital Drug Delivery Robots Based on ROS System ()

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 ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

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 ...
Frontiers

Optimal exercise modality and dose for alleviating depressive symptoms in postmenopausal women: a systematic review and network meta-analysis of randomized controlled trials

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 ...
Frontiers

Optimal dosing regimen of ondansetron oral soluble pellicles for preventing postoperative nausea and vomiting after primary total joint arthroplasty: a randomized controlled ...

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 ...
Goldseiten

Westgold to Spin-Out Non-Core Assets to Valiant

Ore purchase agreement to provide fast track opportunity to cash flow Westgold Resources Limited , is pleased to confirm that, subject to approval from the Australian Securities Exchange , it is ...