Sentence examples for stochastic spreading from inspiring English sources

We specifically present a lower-bound on the decay rate of the number of nodes infected by a susceptible infected susceptible (SIS) stochastic spreading process.

PEV occurs when a gene located near a euchromatin-heterochromatin border is randomly silenced or expressed due to the stochastic spreading or contracting of heterochromatin.

Based on these earlier observations, together with the sensitivity of PEV to the dosage of chromatin modifiers, it has been thought that PEV results from the stochastic spreading of heterochromatin-forming factors or heterochromatic chromatin marks from a nearby heterochromatic region into the variegating gene, in the absence of dominant cis-acting boundary elements [ 37- 39].

This study expands on existing modelling approaches by allowing for varying stock sizes within patches and stochastic spread between patches.

We present in this article a method to assess a system efficiency based on modelling of the temporal and stochastic spread of faults.

Can these conclusions really be drawn from the agreement between the node degree distribution, the split off nodes and the stochastic spread of the data when comparing the actual data for metabolic networks and the blind watchmaker model network?

Additionally, when taking into account the stochastic nature of viral spreading at the synapses, the actual number of bilateral-projecting premotor neurons could be much higher than what we observed.

Since scale-free networks have been shown to be the representative of a variety of human sexual contact networks [ 15- 17], we perform stochastic simulations of the spreading of HIV in undirected scale-free networks.

All transitions defining infection dynamics and mobility processes are modeled through binomial and multinomial stochastic variables to mimic the discrete and stochastic nature of the epidemic spreading [8], [13] that is extremely relevant especially at the start of the outbreak (see the SI for details).

Here we develop an objective way to fit simple stochastic fire spread models based on readily available data from documented fire events (i.e. approximate ignition point, preexisting vegetation, final perimeter, topography, and average wind direction).

We estimate this stochastic energy spread leads to almost no change in uniformity of temperature for the target heated by the Li beam, but leads to a factor of two of non-uniformity in temperature of the target for the K beam over a depth of 3.4μm.