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The most sensitive parameters of the model are identified.
Linear and non-linear parameters for the model are identified.
All parameters of the model are identified by tests.
The parameters of the proposed model are identified using the experimental data.
In addition, the outliers of the model are identified using the Leverage Value Statistics method.
First, pseudo-stoichiometric and kinetic parameters of the bioreactor model are identified.
Parameters of the proposed model are identified through a set of experiments.
Parameters of the biomechanical model are identified based on experimental kinematic data.
The key reactions that control the concentration of the main hydrocarbons of the model are identified.
The three different methods (FLD, FLSD and the fully coupled model) are identified and validated separately.
Finally, important features for a business park energy model are identified.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com