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Based on stochastic modeling, we describe the percolation and connectivity of the ion-rich phase, and propose boundaries for the graft length and graft density to obtain favorable phase segregation potentially relevant for operation at low levels of hydration.
As an alternative, we recently introduced a model based on stochastic modeling (Degenhardt et al. 2009), in which we assume that at least 30 proteins and six irreversible (i.e., energy consuming) steps participate in each transcription cycle.
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Proposition 4The MBQUNE of a DOVC based on stochastic model 2 is where.
These are based on stochastic models, mathematical programming models, heuristic techniques, and simulation.
The DOVCs of the gravitational gradients can be estimated using Proposition 1 based on stochastic model 1.
Proposition 2The MBQUNE of a DOVC in the CAM based on stochastic model 1 for the vertical-vertical (VV) solution is: Proof.
In the simulator, we build a traffic generator based on stochastic models of four kinds of real- and non-real time traffic types.
Proposition 3The MBQUNE of a DOVC based on stochastic model 1 for the horizontal-horizontal (HH) and vertical-horizontal (VH) solution is: where.
This paper presents an approach based on stochastic models (i.e., stochastic Petri nets and reliability block diagrams) for performance and availability evaluation of hybrid storage systems.
A methodology based on stochastic modelling is presented to describe the influence of the bioreactor heterogeneity on the microorganisms growth and physiology.
Results from any analysis based on stochastic models inherit probabilistic information as well, which can be used, e.g., for reliability analysis.
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