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First we describe two breast cancer datasets used to exemplify a multivariable prognostic model developed on one clinical dataset and evaluated on another.
The aim is to estimate how good the performance of the prediction model developed on the development set (the original dataset) would be on a hypothetical set of new patients.
Moreover, the ANFIS acquired results were compared with an Artificial Neural Network (ANN) model, developed on the identical parametric ranges.
The lattice BGK D3Q6 model, developed on passive-scalar approach, is proposed to represent the energy distribution function.
This paper gives a comparison between the most-cited literature model and a model developed on the basics of our experimental data.
In this paper the general framework of an elasto-plastic constitutive model developed on purpose for describing the interface behaviour is presented.
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Gene expression levels reported by Affymetrix microarrays and qPCR may differ significantly, creating potential difficulties for models developed on one platform and utilized in the other [ 4].
Thus, this new model develops on the classic transition matrix to include a beat-dependent / temporal layer to model the residency time.
Prediction models developed on isolated motor sound correlated well with judgements.
Finally, within this review we have not reported on the speed of the models, largely due to the difficulty in comparing models developed on different hardware and with different objectives.
Such systems allow data, correlations, and/or models developed on earth to be safely implemented in space systems.
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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