Results 201 to 210 of about 3,660,283 (292)
Objective Estimating the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information database, including EHRs from approximately ...
Onur Kaya +7 more
wiley +1 more source
Effector selection precedes movement specification: evidence from repetition effects in motor planning. [PDF]
Seegelke C, Heed T.
europepmc +1 more source
Area-specific thalamocortical synchronization underlies the transition from motor planning to execution. [PDF]
Nashef A +4 more
europepmc +1 more source
Objective This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced at least one flare during a six‐month prospective observational study were ...
Sarah Stewart +12 more
wiley +1 more source
Cognitive Impairment Is Associated with Disrupted Motor Planning in Older Adults.
Poirier G +6 more
europepmc +1 more source
Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning. [PDF]
Affan RO +5 more
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
Individual differences and motor planning influence self-recognition of actions. [PDF]
Kadambi A, Xie Q, Lu H.
europepmc +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
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source

