Results 121 to 130 of about 34,502 (312)

Continuous random dynamical systems

open access: yesJournal of Mathematical Analysis and Applications, 2013
Abstract We study a dynamical system generalizing continuous iterated function systems and stochastic differential equations disturbed by Poisson noise. The main results provide us with sufficient conditions for the existence and uniqueness of an invariant measure for the considered system. Since the dynamical system is defined on an arbitrary Banach
openaire   +2 more sources

Association of the ICH Score With Withdrawal of Life‐Sustaining Treatment Over a 10‐Year Period

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The intracerebral hemorrhage (ICH) score was developed to enhance provider communication and facilitate early severity assessment. We examined the association of the ICH score with mortality and withdrawal of life‐sustaining treatment (WLST) in a large, multicenter stroke registry, and evaluated temporal trends in these associations.
Nina Massad   +15 more
wiley   +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

Global attractors for multivalued random dynamical systems [PDF]

open access: green, 2002
Tomás Caraballo   +2 more
openalex   +1 more source

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

open access: yesArthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim   +18 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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