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Management of a post-stroke patient
Неврология, нейропсихиатрия, психосоматика, 2013 The management of a post-stroke patient represents is a challenge to modern neurology. Complete recovery of all functions requires only recurrent stroke prevention. If the patient continues to have motor, speech, and/or other disorders that are promising
Vladimir Anatolyevich Parfenov +1 more
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Impaired Lung Functions Using Tidal Breath Analysis in High-risk Infants with Recurrent Wheezing
Trends in Pediatrics, 2020 Objective: We aimed to investigate lung functions using tidal breath analysis (TBA) in high-risk infants with recurrent wheezing. Methods: Lung functions measured using TBA in infants with physician-diagnosed recurrent wheezing (≥3 episodes) who ...
Ayşe Anık, Pinar Uysal
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Dynamical properties of direct products of discrete dynamical systems
Журнал Средневолжского математического общества, 2022 A natural way for creating new dynamical systems is to consider direct products of already known systems. The paper studies some dynamical properties of direct products of homeomorphisms and diffeomorphisms.
Barinova Marina K., Shustova Evgenia K.
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-FUNCTIONS OF ELLIPTIC CURVES AND BINARY RECURRENCES [PDF]
Bulletin of the Australian Mathematical Society, 2013 AbstractLet$L(s, E)= {\mathop{\sum }\nolimits}_{n\geq 1} {a}_{n} {n}^{- s} $be the$L$-series corresponding to an elliptic curve$E$defined over$ \mathbb{Q} $and$\mathbf{u} = \mathop{\{ {u}_{m} \} }\nolimits_{m\geq 0} $be a nondegenerate binary recurrence sequence.
Luca, Florian +2 more
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Discrete-time recurrent neural networks with time-varying delays: Exponential stability analysis [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Elsevier LtdThis Letter is concerned with the analysis problem of exponential stability for a class of discrete-time ...
Liu, Y, Liu, X, Wang, Z, Serrano, A
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Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks [PDF]
International Journal of Computational Intelligence Systems, 2015 A low complexity Polynomial Functional link Artificial Recurrent Neural Network (PFLARNN) has been proposed for the prediction of financial time series data.
D. K. Bebarta +2 more
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Delta-functions on recurrent random walks
Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2023 If a random walk on a countable infinite state space is reversible, there are known necessary and sufficient conditions for the walk to be recurrent. When the condition of reversibility is dropped, by using discrete Dirichlet solutions and balayage (concepts familiar in potential theory) one could partially retrieve some of the above results concerning
Manivannan, Varadha Raj +1 more
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Associations of proinflammatory cytokines with the risk of recurrent stroke [PDF]
, 2008 <p><b>Background and Purpose:</b> There are few reports on proinflammatory cytokines and risk of primary or recurrent stroke. We studied the association of interleukin (IL)-6, IL-18, and tumor necrosis factor-α (TNF-α) with recurrent ...
Welsh, P. +16 more
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On the convergence of Steffensen-type methods using recurrent functions nonexpansive mappings
Journal of Numerical Analysis and Approximation Theory, 2009 We introduce the new idea of recurrent functions to provide a new semilocal convergence analysis for Steffensen-type methods (STM) in a Banach space setting.
Ioannis K. Argyros, Saïd Hilout
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Semilocal convergence conditions for the secant method, using recurrent functions
Journal of Numerical Analysis and Approximation Theory, 2011 Using our new concept of recurrent functions, we present new sufficient convergence conditions for the secant method to a locally unique solution of a nonlinear equation in a Banach space.
Ioannis K. Argyros, Saïd Hilout
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