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The features of this model were then explored by model simulation.
Additional predictions of the retraction model were then subsequently confirmed using scanning loop experiments.
2S2P1D model and general Kelvin Voigt (GKV) model were then fitted to the E∗ data.
The results from the BDST model were then used to design a pilot adsorption rig at the plant.
The reductions in HPV incidence projected from the dynamic transmission model were then used as direct inputs to our previously described stochastic model (Goldie et al, 2007; Kim et al, 2007).
The several variations of the plug flow model were then fit to the 'data', with generally excellent correlation coefficients (R2>0.95).
Results from the model were then discussed in light of a critical, qualitative analysis of risk management strategies and capabilities of pastoralists.
The values of each parameter in the model were then calculated and the computation showed that the fitted result and the experimental data were well matched.
In macro-scale, Monte Carlo simulations with the present shear-lag model were then conducted to obtain the ultimate tensile strength.
Binary Logistic model and Fuzzy Logic model were then developed to further explore the impacts of flashing green on the stop-go behavior of drivers.
The effects of independent manipulation of different cellular actions of norepinephrine on simulated afferent input to the computational model were then examined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com