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The model also enabled the evaluation of the "residence" of the radioisotope in the tumor, particularly in the internalized compartment.
This model also enabled study of the possible impact of various production plans on Omanization under alternative scenarios.
As mentioned above, our model also enabled testable predictions on the behaviour of the particular system under study.
The MEGA model also enabled us to analyze the impact of each clinical factor independently, and to inspect a specific stage transition in a cancer progression.
Because of the small number of predictors needed, the Bayes quadratic linear model also enabled an explanatory interpretation of the results obtained in our example.
The realization as a dynamic rule based computational model also enabled us to study the effects of gene knock outs and those of enzyme inhibitors as well as receptor antagonists.
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This model also enables us to answer the question: Do the effects of prenatal education vary for different occupation types?
The statistical model also enables estimation of the free energy contributions from specific aspects of the adsorption process.
The model also enables managers to fine-tune debt portfolios by estimating the effect new assets will have on the overall risk profile.
The presented analytical model also enables to enforce specified upper bounds on the mean nrtPS packet delays at every SS in a specified range of loads.
Besides the prediction of the changes in porosity, diffusivity, permeability, and saturation degree, the model also enables prediction of the carbonation degree, portlandite content, and CO2 uptake.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com