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Experiments can complement the heuristics-based flowsheet development by determining the best treatment unit for the industrial wastewater and obtaining model parameters for a more reliable process simulation.
This involved repeatedly (n = 2000) randomly reordering the model residuals, adding these to the fitted values from the original model, reapplying the model, and obtaining model predictions from the updated model.
Alternatively, one could consider using more general IRT models that offer many possibilities of obtaining model fit.
However, obtaining model parameter estimates and testing for interactions between pairs of SNPs requires numerical algorithms that are too computationally demanding to be applied on a genome-wide scale.
In view of the conventional approach for obtaining model parameters (see Introduction), we expect that systematic model calibration as demonstrated in our paper will find widespread use in microbial systems biology.
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The obtained model is then validated numerically, analytically and experimentally.
The obtained model was verified successfully by the confirmation experiments.
The advantages of the obtained model are twofold.
The regression coefficient (R2) of the model implies that the obtained model is potentially correct.
The markings, in Korean script, are said to be consistent with those on a previously obtained model.
The third section presents the obtained model which then is discussed in the fourth section.
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