Results 81 to 90 of about 72,390 (316)

Almost surely asymptotic stability of neutral stochastic differential delay equations with Markovian switching

open access: yes, 2008
The main aim of this paper is to discuss the almost surely asymptotic stability of the neutral stochastic differential delay equations (NSDDEs) with Markovian switching.
Yuan, Chenggui   +7 more
core   +1 more source

Solutions approaching polynomials at infinity to nonlinear ordinary differential equations

open access: yesElectronic Journal of Differential Equations, 2005
This paper concerns the solutions approaching polynomials at $infty $ to $n$-th order ($n$ greater than 1) nonlinear ordinary differential equations, in which the nonlinear term depends on time $t$ and on $x,x',dots ,x^{(N)}$, where $x$ is the unknown ...
Christos G. Philos   +1 more
doaj  

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

open access: yesAdvanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott   +5 more
wiley   +1 more source

Asymptotic properties of stochastic population dynamics

open access: yes, 2008
In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn(t))[b + Ax(t)] into the stochastic dierential equation dx(t) = diag(x1(t); ; xn(t))[(b + Ax(t))dt + dw(t)]: The main aim is to study the asymptotic ...
Deng, Feiqi   +13 more
core  

Development of a Human 3D Immune‐Competent Neurovascular Model Enabling Time‐Resolved Monitoring of Neuroinflammatory Dynamics and Neuroimmune Interactions

open access: yesAdvanced Science, EarlyView.
Neuroinflammation alters blood–brain barrier integrity and contributes to neurological disorders, yet existing models lack human immune complexity. This study presents a 3D, immune‐responsive platform that reconstructs key neurovascular components and enables real‐time monitoring.
Pavlo Gordiichuk   +9 more
wiley   +1 more source

Structure and Asymptotic Theory for Nonlinear Models with GARCH Errors [PDF]

open access: yes
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedastic errors, have become increasingly popular in the economics and finance literature.
Michael McAleer   +2 more
core  

Stability of a Functional Differential System with a Finite Number of Delays

open access: yesAbstract and Applied Analysis, 2013
The paper is devoted to the study of asymptotic properties of a real two-dimensional differential system with unbounded nonconstant delays. The sufficient conditions for the stability and asymptotic stability of solutions are given.
Josef Rebenda, Zdeněk Šmarda
doaj   +1 more source

Mezocontinuous operators and solutions of difference equations

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2016
We attempt to unify and extend the theory of asymptotic properties of solutions to difference equations of various types. Usually in difference equations some functions are used which generate transformations of sequences. We replace these functions by
Janusz Migda
doaj   +1 more source

Asymptotic properties of subband identification

open access: yesIEEE Transactions on Signal Processing, 2003
The purpose of the paper is to study the asymptotic properties (i.e., strong convergence and asymptotic convergence rate) of the subband identification method in every subband and in the overall method. The study of strong convergence aims to answer the question whether the "best possible" model is retrieved, on the limit, with probability one.
Damián Marelli, Minyue Fu 0001
openaire   +2 more sources

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

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