Sentence examples for pattern of stochastic from inspiring English sources

The model in this article shows the pattern of stochastic price-dependent demand.

This pattern of stochastic TRIM52 loss was also evident in other mammalian orders.

Moreover, these results suggest that the dynamics of GFRα1+ cells in regeneration following tissue injury is not based on a distinct program but follows the same pattern of stochastic rules as that seen in steady state.

Models of this kind have been studied extensively in the literature, and notably in relation to the problem of interfollicular epidermal homeostasis, where lineage tracing studies in mice show that tissue is maintained through this pattern of stochastic cell fate with r ≈ 0. 1 (Clayton et al., 2007).

DOI: http://dx.doi.org/10.7554/eLife.00966.013 Following this pattern of stochastic fate choice, previous studies have shown that the size distribution of clones derived from a single progenitor cell converge onto a scaling form in which the chance of finding a surviving clone with n>0 progenitor cells after a time t post-labelling is given by, P n surv.

The expression patterns of stochastic CRMs vary between individuals in that a subset of lineages may or may not be labeled in a given individual.

However, deterministic method does not account for stochastic nature of EV users which affects the load pattern and of stochastic nature of grid condition.

The many different genotypes that share one aspect of their phenotype may differ in other aspects, such as the thermodynamic stability of a given RNA or protein fold, the resilience of a gene expression pattern to stochastic noise, or the robustness of a metabolism to deletion of genes that encode metabolic enzymes [ 1, 7, 16, 17].

On the opposite side, the structured metapopulation models are fairly scalable and can be conveniently used to provide worldwide scenarios and patterns with thousands of stochastic realizations [ 18, 20, 21, 23- 25].

But in the second category, it is possible that the pattern of changes is stochastic and it is not time dependent (Farahani et al. 2009).

Following recent studies of stochastic pattern formation in RD systems [45 51], we investigate the occurrence of stochastic neural patterns by linearizing the spatially discrete Langevin equation (5.2) about a homogeneous stationary solution (u_{0}) of the mean-field equation (2.19) and calculating the resulting power spectrum using discrete Fourier transforms.