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Under a realistic behavioral assumption, it may display a disappearing deductible if the uninsurable loss becomes riskier, according to any degree of stochastic dominance, as the insurable loss increases.
The variation captured by the distribution represents the degree of stochastic noise in the protein activities.
The values of fd represent here the degree of stochastic variance in the expression levels of Raf, Mek and Erk.
A healthy state exhibits some degree of stochastic variability and complexity in physiologic variables, such as temperature.
In addition, a higher degree of stochastic fluctuation in Blimp-1 protein level also shifts the dose response curves to the left with a decreasing ED50 value.
These single-cell experiments confirmed the degree of stochastic origin replication time at several loci, providing support for the genome-wide values obtained from the ensemble time-course experiment.
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By contrast, the second (repressed and marked by variable degrees of stochastic transcription) implies that PcG is not fully efficient at repressing stochastic transcriptional noise.
The frequency of state alterations can be controlled by the degree of the stochastic fluctuations (small variance – no/few state changes, large variance - frequent state changes), wherefore it can be regarded as an explicit control parameter.
Although also the degree of the stochastic component σ2 slightly effects the stationary Nanog distribution, it should clearly be pointed out, that in this oscillatory scenario the changes between the Nanog-high and the Nanog-low state are not induced by the transcriptional noise of Nanog but are the result of the activator/repressor system between Nanog and the co-regulator X.
We develop performance criteria for the objective comparison of different classes of single-degree-of-freedom oscillators under stochastic excitation.
In the present paper, an innovative procedure for designing the feedback control of multi-degree-of-freedom (MDOF) nonlinear stochastic systems to target a specified stationary probability density function (SPDF) is proposed based on the technique for obtaining the exact stationary solutions of the dissipated Hamiltonian systems.
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