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The model applicability is corroborated by an example, based on a published case-study.
In the present article the fractal model applicability is tested by simulating a bluff-body premixed flame anchored in a straight channel.
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The ranges of the models applicability are studied analytically and illustrated by numerical results.
Again, the smaller Vss range in the dataset used by Zhivkova and Doytchinova helps to improve the predictive accuracy of the models, at the expense of the models' applicability being restricted to acidic drugs.
Kinetic models such as pseudo -first order, pseudo-second order, Elovich and intraparticle diffusion models applicability was tested for experimental data and the second-order equation and intraparticle diffusion models control the kinetic of the adsorption process.
Note that although the model's applicability is currently limited by nodes radiating omnidirectionally, the approach shown in the paper implies that the model can be expanded to nodes with directional coverage once the fractal parameters in the respective lattice structure are estimated.
Because of its conceptual nature, the model's applicability is not limited to Santomera soil.
The overall problem is formulated as a mixed integer linear programming (MILP) model, and its applicability is demonstrated using a numerical example.
The overall problem is formulated as a mixed integer linear programming (MILP) model, and its applicability is demonstrated using a number of examples.
By performing a systematic methodology and identifying parameters with the highest impact on process variables in a well-established AD model, its applicability was extended to various co-digestion scenarios.
One way to address the influence of SE data with respect to the external model applicability domain is to make a comparison with and without SE training data for target models.
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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