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Site-Specific Phosphoproteomic Profiling of CAV1 Reveals Co-Regulatory Kinase Networks in Cancer Signaling. [PDF]

Int J Mol Sci
Vaz CE, Suresh M, Dcunha L, Raju R, Kanekar S.   +4 more
europepmc   +1 more source

Exploring Key Factors Affecting the Encapsulation Efficiency of Ligusticum Chuanxiong-Vinegar Cyperus Rotundus Essential Oil Based on QbD Principles. [PDF]

Pharmaceutics
Tang Z, Chen W, Zhang T, He Y, Wan H.
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Electrophysiological evidence of severe marginal mandibular branch injury in Bell palsy: Implications for optimizing clinical assessment and treatment - a retrospective study. [PDF]

Medicine (Baltimore)
Zhang Q, Xia M, Zhang J, Chen Y, Zou Z, Liu Y.   +5 more
europepmc   +1 more source

PANDAS Syndrome: A Narrative Review of the Diagnostic Conundrum in Children with Acute Neuropsychiatric Symptoms. [PDF]

Int J Mol Sci
Cesaroni CA, Pisanò G, Rizzi S, Pantani A, Frattini D, Fusco C.   +5 more
europepmc   +1 more source

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Linearization of differential inclusions

Serdica Mathematical Journal, 2023
In this paper we extend the approach of Dubovickiĭ and Miljutin for linearization of the dynamics of smooth control systems to a non-smooth setting. We consider dynamics governed by a differential inclusion and we study the Clarke tangent cone to the set of all admissible trajectories starting from a fixed point.
Bivas, Mira, Krastanov, Mikhail, Ribarska, Nadezhda   +2 more
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Approximation of differential inclusions

Sbornik: Mathematics, 2002
The paper consists of two sections corresponding to extensions of results in the papers of \textit{A. I. Bulgakov, A. A. Efremov} and \textit{E. A. Panasenko} [Differ. Equ. 36, 1741--1753 (2000); translation from Differ. Uravn. 36, 1587--1598 (2000; Zbl 0997.34009)] and of \textit{A. I. Bulgakov} and \textit{V. V.
Bulgakov, A. I., Skomorokhov, V. V.
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Differential Inclusions for fuzzy maps

Fuzzy Sets and Systems, 2000
From the authors abstract: The authors introduce the problems of differential inclusions for fuzzy maps, and prove the existence of solutions to these problems by the continuous selection theorem and fixed point theorems, respectively.
Yuanguo Zhu, Ling Rao
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Measure differential inclusions

2018 IEEE Conference on Decision and Control (CDC), 2018
When modeling dynamical systems with uncertainty, one usually resorts to stochastic calculus and, specifically, Brownian motion. Recently, we proposed an alternative approach based on time-evolution of measures, called Measure Differential Equations, which can be seen as natural generalization of Ordinary Differential Equations to measures.
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