Results 141 to 150 of about 338,331 (240)

Elevated liver enzymes is not an impediment to allopurinol dose escalation: an observational cohort study

Arthritis Care &Research, Accepted Article.
Objective Routine liver enzyme monitoring is advocated while on allopurinol but supporting guidance is lacking. We assessed the incidence and factors associated with elevated liver enzymes in gout patients commenced on allopurinol. Methods 150 patients with gout and normal baseline serum aminotransferases initiated on allopurinol were followed ...
May Shuen Tang, Qai Ven Yap, Peter Pak Moon Cheung, Amelia Santosa, Gim Gee Teng   +4 more
wiley   +1 more source

On the Genuine Relevance of the Data-Driven Signal Decomposition-Based Multiscale Permutation Entropy. [PDF]

Entropy (Basel), 2022
Jabloun M, Ravier P, Buttelli O.
europepmc   +1 more source

Prevalence of Dietary Supplement Use and Potential Medication Interactions Among Adults with Systemic Lupus Erythematosus

Arthritis Care &Research, Accepted Article.
Objective To characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE). Methods We analyzed cross‐sectional data from 451 adults in the Approaches to Positive, Patient‐centered Experiences of ...
Sarah L. Patterson, Russell Ellyson, Jessica Fitzpatrick, Ghizlane Yaakoubi, Bradley Pearce, S. Sam Lim, Jinoos Yazdany, Laura C. Plantinga   +7 more
wiley   +1 more source

Load state identification of rock bolts based on energy and multiscale permutation entropy of ultrasonic signals. [PDF]

Sci Prog
Zhang H, Wang L, Zhang L, Mo D, Chen Z.
europepmc   +1 more source

Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD). [PDF]

Entropy (Basel), 2023
Buccellato A, Çatal Y, Bisiacchi P, Zang D, Zilio F, Wang Z, Qi Z, Zheng R, Xu Z, Wu X, Del Felice A, Mao Y, Northoff G.   +12 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International 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, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

A Dual-Branch Spatiotemporal Framework with Dynamic Weighted Permutation Entropy for Short-Window Motor Imagery EEG Decoding. [PDF]

Sensors (Basel)
Wang J, Yang H.
europepmc   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Multi-Horizon Probabilistic Wind Power Forecasting for Mountainous Wind Farms Based on Entropy-Weighted Fusion and Permutation Entropy-Guided Decomposition. [PDF]

Entropy (Basel)
Liu C, Shao B, Nie D, Tian N, Dai H, Zeng H, Zhao W, Zhao X, Liu X, Qin C.   +9 more
europepmc   +1 more source

Research on Twin Extreme Learning Fault Diagnosis Method Based on Multi-Scale Weighted Permutation Entropy. [PDF]

Entropy (Basel), 2022
Yuan X, Fan Y, Zhou C, Wang X, Zhang G.
europepmc   +1 more source