Results 221 to 230 of about 8,660,418 (387)

Diverse Treatment Goals in Psoriatic Arthritis: Insights From Participants in the PARC Cohort

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to examine patient‐reported treatment goals among individuals with psoriatic arthritis. Methods Participants in the Psoriatic Arthritis Research Consortium completed standardized assessments, including patient‐reported outcome (PROs) instruments, between 2017 and 2020.
Astia Allenzara   +8 more
wiley   +1 more source

Barriers and Facilitators for Implementing Resilience Coaching for Youth With Chronic Musculoskeletal Pain: Pediatric Rheumatologists’ Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective Promoting Resilience in Stress Management (PRISM) is a resilience coaching program designed for adolescents with chronic illness. We aimed to examine the perceived feasibility, acceptability, and appropriateness of PRISM among pediatric rheumatologists treating adolescents with chronic musculoskeletal pain and obtain recommendations for ...
Sabrina Gmuca   +9 more
wiley   +1 more source

Screening for Social Determinants of Health in Patients with Systemic Lupus Erythematosus: A Point‐of‐Care Feasibility Study

open access: yesArthritis Care &Research, Accepted Article.
Objectives Social determinants of health (SDoH) can impact outcomes but are not routinely screened for in US outpatient rheumatology clinics. This study determined the feasibility of routine point‐of‐care SDoH screening among patients with systemic lupus erythematosus (SLE), and associated barriers and facilitators at the physician, care team, and ...
S. Sam Lim   +11 more
wiley   +1 more source

Unraveling human crowd dynamics through the foot tracking of pedestrians. [PDF]

open access: yesSci Adv
Ma Y   +7 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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