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Errors of the mathematical model were related to only demographic and clinical conditions.
The results found application of the mathematical model was applicable.
The main characteristics of the mathematical model are explained.
Validation of the mathematical model was conducted experimentally.
The order of the mathematical model may change over time.
That's because of uncertainty over Betelgeuse's exact distance (and hence its measured radius) and also uncertainty over the accuracy of the mathematical model.
A significant simplification of the mathematical model can be achieved with a suitable state transformation.
Before optimization, the accuracy of the mathematical model was checked against experimental data.
The detail knowledge of the mathematical model of the system is no more crucial.
A real model is built and results of the mathematical model are verified with experiments.
The parsimony of the mathematical model is instrumental in minimizing the number of bifurcation parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com