Results 231 to 240 of about 5,668,523 (337)

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

open access: yesArthritis Care &Research, EarlyView.
Objective 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

Initiating Sensory Science Research in Space Conditions-Current Practices and Future Perspectives. [PDF]

open access: yesCompr Rev Food Sci Food Saf
Prabodha T   +6 more
europepmc   +1 more source

Association of Elevated Serum S100A8/A9 Levels and Cognitive Impairment in Patients With Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective Cognitive impairment (CI) is common in patients with systemic lupus erythematosus (SLE). Despite its prevalence, the immune mechanisms are not well understood. We previously reported elevated serum levels of S100A8/A9 and matrix metalloproteinase 9 (MMP‐9) in patients with SLE and CI.
Carolina Muñoz‐Grajales   +18 more
wiley   +1 more source

Lived and care experiences of chronic musculoskeletal shoulder pain in Australian adults: A qualitative study

open access: yesArthritis Care &Research, Accepted Article.
Objectives Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centred care and informing local service pathways and care guidelines or standards.
Sonia Ranelli   +8 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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