Results 221 to 230 of about 957,336 (307)

Considerations for Issues of Regression to the Mean and Contextual Effects in Clinical Trials for Pain in Rheumatic Diseases

open access: yesArthritis Care &Research, Accepted Article.
Recently, there has been growing discussion about how to best assess pain in clinical trials in rheumatic diseases. Reliable measurement of pain outcomes is essential for accurately determining the effectiveness of treatments. While pain intensity is the most common measure of change in pain trials, other pain‐related measures, such as pain ...
Yen T. Chen   +4 more
wiley   +1 more source

Tracking progress along the WHO Neglected Tropical Diseases Road Map to 2030: A guide to the Gap Assessment Tool (GAT) and results from the 2023-2024 assessment. [PDF]

open access: yesPLoS Negl Trop Dis
Donadeu M   +14 more
europepmc   +1 more source

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

open access: yesArthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy   +9 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

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