Results 251 to 260 of about 3,788,707 (345)

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

“Cat Got Your Wire?”: Bartonella henselae infection of ICD leads

open access: yesInternational Journal of Infectious Diseases, 2020
G. Simeunovic   +3 more
doaj  

Association of Higher Levels of High‐Sensitivity C‐Reactive Protein With Future Development of Psoriatic Arthritis in Psoriasis: A Prospective Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder   +5 more
wiley   +1 more source

Understanding Contributors of Resilience in Youth With Childhood‐Onset Systemic Lupus Erythematosus Through a Socioecological Lens: A Mixed‐Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to identify themes contributing to resilience in childhood‐onset systemic lupus erythematosus (cSLE), distinguish between profiles of resilience, and examine how they relate to underlying themes and patient characteristics. Methods We conducted a mixed‐methods study of 21 patients with cSLE aged 11 to 19 years at a Canadian ...
Isabella Zaffino   +12 more
wiley   +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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