Results 221 to 230 of about 16,890,236 (293)
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Adaptive Multi-Fidelity Structural Optimization under Fluid-Structure Interaction. [PDF]
Narkhede A, Rivas E, Wang K.
europepmc +1 more source
Objective This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced at least one flare during a six‐month prospective observational study were ...
Sarah Stewart +12 more
wiley +1 more source
Q-LEAP: Millisecond Hyperdimensional Optimization for Full-Spectrum Optical Metamaterials. [PDF]
Guo Z, Wu Y, Guo Y, Ju S.
europepmc +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
AI-integrated manufacturing of advanced materials for energy storage, catalysis, and environmental applications. [PDF]
Kumar Punna S +3 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Effects of Intrinsic Foot Muscle-Targeted Exercise Programs on Functional, Neuromuscular, and Biomechanical Outcomes Relevant to Lower-Limb Injury: A Systematic Review with Limited Meta-Analysis. [PDF]
Monteiro ER +7 more
europepmc +1 more source

