Results 141 to 150 of about 352,929 (269)

Individuals With Multijoint Osteoarthritis Demonstrate Larger Longitudinal Declines in Frailty: Data From the Canadian Longitudinal Study on Aging

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell   +2 more
wiley   +1 more source

Rheumatoid arthritis, frailty, and outcomes of surgical hospitalizations: A national population‐based analysis

open access: yesArthritis Care &Research, Accepted Article.
OBJECTIVE Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective non‐cardiac surgery. METHODS We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including ...
Ali Yazdanyar   +5 more
wiley   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
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

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
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

Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning. [PDF]

open access: yesComput Softw Big Sci
Angloher G   +61 more
europepmc   +1 more source

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