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Event-triggered sliding mode control for stochastic Markov switching systems with Lévy noise and time-varying delays
L.Yin, F.Sun, T.Cheng, and T.Li, Event-triggered sliding mode control for stochastic Markov switching systems with Lévy noise and time-varying delays, Asian J. Control. (2026), 1–11. https://doi.org/10.1002/asjc.70129 1 INTRODUCTION The issue of controlling stochastic systems has garnered significant research interest over recent decades due to their broad applications across engineering [17], physics [9], biology [22], and economics [5].
Frontiers | A comparative study of risk factors in predictive models for cognitive dysfunction in patients with leukoaraiosis based on machine learning algorithms
Background Leukoaraiosis (LA), also known as White Matter Hyperintensities (WMH), is a common form of cerebral small vessel disease that is widely present in the elderly population (Tang et al., 2021; Hentabli et al., 2022). The clinical symptoms of LA are subtle and non-specific in the early stages, and as the condition progresses, a series of clinical issues gradually emerge, including cognitive impairment, dementia, gait abnormalities, and emotional confusion (Kongbunkiat et al., 2017).
Development of an improved and facile synthesis route of the FGFR inhibitor erdafitinib
Advanced search Synthetic Communications An International Journal for Rapid Communication of Synthetic Organic Chemistry Latest Articles Submit an article Journal homepage Full Article Figures & data References Supplemental Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/00397911.2024.2423897?needAccess=true Abstract A facile and practical synthetic route for erdafitinib has been developed.
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