Results 251 to 260 of about 3,447,355 (412)

Global Trends in Risk Factors for Low Back Pain: An Analysis of the Global Burden of Disease Study Data From 1990 to 2021

open access: yesArthritis Care &Research, EarlyView.
Objective The increasing burden associated with low back pain (LBP) is a critical issue. This is a novel analysis of trends in risk factors for LBP aiming to identify risk factors that require further attention or consideration in global policies to reduce the burden of LBP.
Katharine E. Roberts   +5 more
wiley   +1 more source

184. Evaluation of the capacity of anti-scatter grids using digital image processing

open access: bronze, 1990
Atsushi Takigawa   +3 more
openalex   +2 more sources

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

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

open access: yesArthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox   +3 more
wiley   +1 more source

A first meta-analysis study on body weight prediction method for beef cattle based on digital image processing. [PDF]

open access: yesJ Adv Vet Anim Res
Firdaus F   +5 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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