Results 201 to 210 of about 171,503 (343)
Objective This study investigated whether sleep disturbance can predict the extent to which pain interferes with daily functioning in patients with early rheumatoid arthritis (RA). Methods Data were from adults with early RA (joint symptoms ≤12 months) enrolled in the Canadian Early Arthritis Cohort between 2016 and 2023.
Burcu Aydemir+16 more
wiley +1 more source
Evaluating the potential of underwater television to contribute to marine litter assessments alongside bottom trawling. [PDF]
Norén K, Svensson F, Lindmark M.
europepmc +1 more source
Orbital simulations on the deflection of Near Earth Objects by directed energy
Qicheng Zhang+4 more
openalex +2 more sources
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
Time trends and predictors of gout remission over six years
Objectives This study aims to describe the trends in remission rates over six years of follow‐up among people with gout taking urate‐lowering therapy (ULT), and to identify variables that predict remission. Methods A post hoc analysis was conducted using data from the Cardiovascular Safety of Febuxostat or Allopurinol in Patients with Gout (CARES ...
Adwoa Dansoa Tabi‐Amponsah+5 more
wiley +1 more source
Spatial incoherence-driven optical reconstruction of holograms with observer shift-invariance. [PDF]
Sohn YJ, Yang D.
europepmc +1 more source
Planetary Defense Mission Using Guided Collision of Near-Earth Objects
Matthew L. Marcus+3 more
openalex +1 more source
The great dispersal: The fall and rise of global environmental governance. [PDF]
Sörlin S+8 more
europepmc +1 more source
Palomar Optical Spectrum of Hyperbolic Near-Earth Object A/2017 U1
J. Masiero
openalex +2 more sources
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam+2 more
wiley +1 more source