Arthritis Care &Research, EarlyView.Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
From Spectral Maps to Biomedical Evidence: A Minimum Evidentiary Framework for Label-Free Raman Imaging (Reply to Letter-to-the-Editor). [PDF]
Adv Sci (Weinh)Li J, Zhao X, Yu J.
europepmc +1 more source
Arthritis Care &Research, EarlyView.Objective Routine liver enzyme monitoring is advocated for while on allopurinol, but supporting guidance is lacking. We assessed the incidence and factors associated with elevated liver enzyme levels in patients with gout commenced on allopurinol. Methods One hundred and fifty patients with gout and normal baseline serum aminotransferases initiated on ...
May Shuen Tang +4 more
wiley +1 more source
Conservative Numerical Framework for Fractional Stochastic Delay Modeling of CSF-1/EGF Tumor-Macrophage Aggregation. [PDF]
Int J Numer Method Biomed EngMohammad M, Rihan F, Trounev A.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International 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
Design of absorbing material distribution for noise barrier via accelerated BEM and optimality criteria method. [PDF]
Sci ProgZhao A, Lei G, Jiang J, Ming H, Liu K.
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 +3 more
wiley +1 more source
Separating predictive accuracy from functional behaviour in machine-learning surrogate models for geoengineering applications. [PDF]
Sci RepŻeruń M.
europepmc +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Optimal control of a heat flow system via novel enhanced quadratic interpolation optimization tuned 2DOF-PID controller. [PDF]
Sci RepYüksek G, Can K, Ekinci S, Akin E.
europepmc +1 more source