Results 211 to 220 of about 53,222 (261)

Dynamical analysis of a model of BCL-2-dependent cellular decision making. [PDF]

NPJ Syst Biol Appl
Cloete I, Alarcón T.
europepmc   +1 more source

The transcriptional atlas, intercellular communication, and metabolic reprogramming of the cartilage and synovium in osteoarthritis patients with diabetes mellitus : a multiomics study. [PDF]

Bone Joint Res
Wen Y, Liu S, Chen H, Tu M, Zhao D, Xing J, Zheng W, Zhong Y, Wang H, Chen L.   +9 more
europepmc   +1 more source

Opportunities and challenges in studying non-coding RNAs using neural organoid models. [PDF]

Front Mol Neurosci
Chiang PS, Tsai MH, Hou PS.
europepmc   +1 more source

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Signals in Stochastically Generated Neurons

Journal of Computational Neuroscience, 1999
To incorporate variation of neuron shape in neural models, we developed a method of generating a population of realistically shaped neurons. Parameters that characterize a neuron include soma diameters, distances to branch points, fiber diameters, and overall dendritic tree shape and size.
James L. Winslow, Stephan F. Jou, Sabrina Wang, J. Martin Wojtowicz   +3 more
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Signaling to Actin Stochastic Dynamics

Annual Review of Plant Biology, 2015
Advances in microscopy techniques applied to living cells have dramatically transformed our view of the actin cytoskeleton as a framework for cellular processes. Conventional fluorescence imaging and static analyses are useful for quantifying cellular architecture and the network of filaments that support vesicle trafficking, organelle movement, and ...
Li, Jiejie, Blanchoin, Laurent, Staiger, Christopher J   +2 more
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Estimating Stochasticity of Acoustic Signals

2014
In this paper, known methods for estimating the stochasticity of acoustic signals are compared, along with a new method based on adaptive signal filtration. Statistical simulation shows that the described method has better characteristics (lower variance and bias) than the other stochasticity measures.
Sergei Aleinik, Oleg Kudashev
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Stochastic Signal Representation

IEEE Transactions on Circuit Theory, 1969
The representation of signals in the time domain requires the decomposition of functions of time into linear combinations of a finite number of basis functions. The purpose of this paper is to introduce a stochastic approximation algorithm, which, given an ensemble of signals \{f(t)\} , selects from a set S that subset S_{m} of m basis functions that ...
G. Coraluppi, null Tzay Young
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Stochastic optimization method for signalized traffic signal systems

International Journal of Knowledge-based and Intelligent Engineering Systems, 2009
Various simulation programs and optimization techniques have evolvedthat aid the traffic engineer in the optimization process. None of theoptimization programs consider the day to- day stochastic variability in thedelay during the optimization process.
Deependra Singh, Rajan Singh
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Synchronization of noisy systems by stochastic signals

Physical Review E, 1999
We study, in terms of synchronization, the nonlinear response of noisy bistable systems to a stochastic external signal, represented by Markovian dichotomic noise. We propose a general kinetic model which allows us to conduct a full analytical study of the nonlinear response, including the calculation of cross-correlation measures, the mean switching ...
A, Neiman, L, Schimansky-Geier, F, Moss, B, Shulgin, J J, Collins   +4 more
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