Results 221 to 230 of about 4,025,054 (343)

Response to allopurinol and febuxostat according to the fractional excretion of urate in men with gout

open access: yesArthritis Care &Research, Accepted Article.
Background Body mass index (BMI), glomerular filtration rate (GFR), and pretreatment urate levels have been reported to influence the urate‐lowering response to allopurinol. We investigated whether the fractional excretion of urate (FEUA) also modulates this response and relates to oxypurinol concentrations. We further evaluated its potential influence
Pascal Richette   +13 more
wiley   +1 more source

COMPETITION IN A MARKET ECONOMY [PDF]

open access: yes, 2008
Bakanova, T., Krasovskaya, E.Y.
core  

The temporal trends and short‐ and long‐term mortality of people with acute myocardial infarction and rheumatoid arthritis: a nationwide cohort study

open access: yesArthritis Care &Research, Accepted Article.
Aims We investigated whether a diagnosis of rheumatoid arthritis (RA) affects the quality of inpatient acute myocardial infarction (AMI) care and long‐term mortality post‐AMI. Methods We analysed data from 784,091 adults, 6,047 with a diagnosis of RA, from England and Wales hospitalised with AMI between 2005 and 2019 from the MINAP registry, linked ...
Megan Butler   +8 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

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

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