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Until now, as [22] states, the study of discrete epidemic models was focused on the computation of the reproduction number, the existence and stability (both local and global) of the equilibrium points, and the extinction, permanence, and persistence of the disease.
This is because the development of erosion models was focused on those regions with an intense agriculture typical of developed countries on the one hand, and because of the spatial and temporal heterogeneity of gully erosion processes on the other hand.
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However, current models are focused on two scales mainly: national/continental and local/plot.
Most existing studies on predator prey models are focused on interacting species without age structure (see [1 4]).
The tool — which uses statistical methods to assess AI models — is focused on one type of AI bias problem that's "quantifiable and measurable".
The most critical modeling tasks (data curation, data set characteristics evaluation, variable selection and validation) that largely influence the performance of QSAR models were focused.
However, these early models were focused on the conventional saturated steam, which cannot be used to predict thermophysical properties of SMTF in wellbores.
However, social influence modeling is an open and challenging issue, and most evaluation models are focused on online social networks, but fail to characterize indirect influence.
However, most cure kinetics models are focused on predicting the chemical state of the resin rather than the resulting mechanical properties.
The end-use of the models is focused on the optimal design and control of granulation plants using the improved predictions of process dynamics.
However, these previous models were focused on the single-phase flow of superheated steam in wellbores, which cannot be used to analyze the effect of non-condensing gases on SMTF in wellbores (de Almeida et al. 2017).
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