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The results show that considering the number of fitted coefficients and the modeling accuracy, the deduced model performs well in regression analyses conducted with experimental data tested from three radial turbines of different sizes.
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Chemical reaction models are built for several reasons, such as exploratory modeling with the purpose of identifying possible reaction pathways, analyzing one's own experimental data, testing possible experimental trends, or making predictions for the purpose of design and policy assessment.
Given that the contents of the present manuscript have employed methods already described in a previous article (Brouillet et al., Biology Direct 2010, 5 40 doi:10.1186/1745-6150-5-40), although with an expanded range of application, I would have appreciated experimental data testing the critical assumptions of the analysis.
Furthermore, our model provides a valuable tool, as it can be easily modified and extended to incorporate new experimental data, test hypotheses and make testable predictions.
The normality and constant variance for experimental data were tested by the Levene's test.
The statistical significance of the experimental data was tested using a Student's t-test.
Thermodynamic consistency of the experimental data is tested according to Herington method.
To understand the adsorption behavior of inhibitors on MS surface, the experimental data were tested on several adsorption isotherms.
The ability of the model to describe experimental data is tested.
The proposed formulation is self-consistent, and the results agree well with the experimental data from tested beams.
The 14-step mechanism performs as good as the 23 species mechanism for all the experimental data sets tested for.
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