Results 211 to 220 of about 4,082,360 (307)

環境管理センター関連会議の開催結果 [PDF]

open access: yes, 2002
Okayama University Administration Center for Environmental Science and Technology,
core  

Artificial Intelligence in Systemic Sclerosis: Clinical applications, challenges, and future directions

open access: yesArthritis Care &Research, Accepted Article.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

The Physician‐Scientist Pipeline for Pediatric Rheumatology – Current Landscape and Future Perspectives.

open access: yesArthritis Care &Research, Accepted Article.
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu   +2 more
wiley   +1 more source

環境管理センター関連の会議 [PDF]

open access: yes, 1992
Okayama University Administration Center for Environmental Science and Technology,
core  

Discordance between systemic lupus erythematosus disease activity index domain weights and their association with organ damage accrual

open access: yesArthritis Care &Research, Accepted Article.
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1‐8) assigned to each domain.
Kevin Zhang   +8 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
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

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