Results 121 to 130 of about 85,735,734 (209)
Energy solutions of singular SPDEs on Hilbert spaces with applications to domains with boundary conditions. [PDF]
Gräfner L, Perkowski N, Popat S.
europepmc +1 more source
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
A highly accurate Hermite polynomial-based least-squares approach for solving fractional Volterra-Fredholm integro-differential equations. [PDF]
Hamood MM, Sharif AA, Ghadle KP.
europepmc +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Comparative behavior of steam turbine model for dynamical power system analyses by means of multiple fractional and artificial neural network techniques. [PDF]
Abro KA, Souayeh B, Flah A.
europepmc +1 more source
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
One Dimensional Energy Cascades in a Fractional Quasilinear NLS. [PDF]
Maspero A, Murgante F.
europepmc +1 more source
Objective This study synthesized the content and reporting completeness of published physical therapist–led interventions for glenohumeral osteoarthritis (GHOA). Methods This systematic review undertook electronic database searches in PubMed, EMBASE, Cochrane, CINAHL, and PEDro (until June 2025) for any peer‐reviewed articles or studies describing ...
Daha G. Muhammad +5 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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
Study of memory-dependent dynamics of a predator-prey model with hyperbolic mortality. [PDF]
Mahalakshmi R, Sivakumar M.
europepmc +1 more source

