Results 111 to 120 of about 5,047,376 (392)

Dose‐dependent induction of epithelial‐mesenchymal transition in 3D melanoma models by non‐thermal plasma treatment

open access: yesMolecular Oncology, EarlyView.
Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop   +10 more
wiley   +1 more source

Random Attractors for Stochastic Retarded Lattice Dynamical Systems

open access: yesAbstract and Applied Analysis, 2012
This paper is devoted to a stochastic retarded lattice dynamical system with additive white noise. We extend the method of tail estimates to stochastic retarded lattice dynamical systems and prove the existence of a compact global random attractor within
Xiaoquan Ding, Jifa Jiang
doaj   +1 more source

Recurrent network of perceptrons with three state synapsesachieves competitive classification on real inputs

open access: yesFrontiers in Computational Neuroscience, 2012
We describe an attractor network of binary perceptrons receiving inputs from a retinotopicvisual feature layer. Each class is represented by a random subpopulation of the attractor layer,which is turned on in a supervised manner during learning of the ...
Yali eAmit, Jacob eWalker
doaj   +1 more source

Changes of mind in an attractor network of decision-making. [PDF]

open access: yesPLoS Computational Biology, 2011
Attractor networks successfully account for psychophysical and neurophysiological data in various decision-making tasks. Especially their ability to model persistent activity, a property of many neurons involved in decision-making, distinguishes them ...
Larissa Albantakis, Gustavo Deco
doaj   +1 more source

Design strategies for the creation of aperiodic nonchaotic attractors [PDF]

open access: yes, 2009
Parametric modulation in nonlinear dynamical systems can give rise to attractors on which the dynamics is aperiodic and nonchaotic, namely with largest Lyapunov exponent being nonpositive. We describe a procedure for creating such attractors by using random modulation or pseudo-random binary sequences with arbitrarily long recurrence times.
arxiv   +1 more source

The random case of Conley's theorem: III. Random semiflow case and Morse decomposition

open access: yes, 2007
In the first part of this paper, we generalize the results of the author \cite{Liu,Liu2} from the random flow case to the random semiflow case, i.e. we obtain Conley decomposition theorem for infinite dimensional random dynamical systems.
Arnold L   +25 more
core   +2 more sources

RANDOM ATTRACTOR FOR FRACTIONAL GINZBURG-LANDAU EQUATION WITH MULTIPLICATIVE NOISE

open access: yes, 2014
In this paper, we consider the asymptotic behavior of solutions to the stochastic fractional complex Ginzburg-Landau equation with multiplicative noise in one spatial dimensions.
Hong Lu, Shujuan Lü
semanticscholar   +1 more source

Understanding and measuring mechanical signals in the tumor stroma

open access: yesFEBS Open Bio, EarlyView.
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz   +3 more
wiley   +1 more source

Asymptotic behavior of non-autonomous stochastic Boussinesq lattice system

open access: yesAIMS Mathematics
In this paper, we investigate the existence of a random uniform exponential attractor for the non-autonomous stochastic Boussinesq lattice equation with multiplicative white noise and quasi-periodic forces.
Ailing Ban
doaj   +1 more source

Minimal Random Attractors [PDF]

open access: yesarXiv, 2017
It is well-known that random attractors of a random dynamical system are generally not unique. We show that for general pullback attractors and weak attractors, there is always a minimal (in the sense of smallest) random attractor which attracts a given family of (possibly random) sets. We provide an example which shows that this property need not hold
arxiv  

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