Results 101 to 110 of about 526,377 (298)

Heterogeneity of Rheumatoid Arthritis‐Associated Interstitial Lung Disease by Longitudinal Forced Vital Capacity Trajectory and Associations with Disease Outcomes

open access: yesArthritis Care &Research, Accepted Article.
Objective We aimed to identify unique disease trajectories within rheumatoid arthritis‐associated interstitial lung disease (RA‐ILD) based on longitudinal forced vital capacity (FVC) values and their associated clinical outcomes. Methods We performed a cohort study of RA‐ILD within the Veterans Health Administration from 1999‐2021. RA‐ILD patients were
Bryant R. England   +9 more
wiley   +1 more source

Structure design of specialized horizontal grinding equipment for the machining of gas turbine blade tips

open access: yesNantong Daxue xuebao. Ziran kexue ban
The processing of the blade tip of heavy-duty gas turbine rotating blades is a key procedure in blade shaping. The accuracy of this process determines the gap between the blade tip and other components, which may affect the working efficiency of the gas ...
CHENG Lifeng; XIE Fan; HONG Liangliang; ZHANG Haijun
doaj   +1 more source

Virtual or in‐person: does it matter? Comparing pain, function, quality of life, self‐efficacy and physical function outcomes of virtual, hybrid and in‐person GLA:D Canada participants

open access: yesArthritis Care &Research, Accepted Article.
Objective This study aimed to determine if program format (in‐person, virtual, hybrid) results in differences in three‐month outcomes of pain, function, quality of life, self‐efficacy and chair stands in a hip/knee osteoarthritis management program. Methods A secondary analysis of the GLA:DTM Canada database was completed.
Jill Van Damme   +7 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

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Ontologies4Cat: investigating the landscape of ontologies for catalysis research data management

open access: yesJournal of Cheminformatics
As scientific digitization advances it is imperative ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR) for machine-processable data. Ontologies play a vital role in enhancing data FAIRness by explicitly representing knowledge in a
Alexander S. Behr   +2 more
doaj   +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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