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In summary, quantitative analysis shows a good degree of reproduction of data from near the electrojet by the limited number of parameters used in AMM.
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A comparison of the model predictions with the experimental data revealed that the proposed kinetic approach gave a satisfactory reproduction of the data.
MIRAGE (i.e. the "Minimum Information Required for A Glycomics Experiment") integrates worldwide efforts to develop reporting guidelines for glycomics analytic data with the goal of facilitating the interpretation, evaluation and reproduction of these data.
As these predictions were analyzed, more complex conditions were seen to be necessary for a satisfactory reproduction of experimental data.
Close communication with authors provides the most accurate reproduction of the data that appear in a publication.
What's more: Any reproduction of your data has to be subject to the privacy settings you choose as a Facebook user.
The satisfactory reproduction of these data demonstrates that the present model can be used in combustion simulation of surrogate fuels containing toluene and as a reliable basis to develop kinetic models of large alkylbenzenes and bicyclic aromatics.
The specific values for the allosteric parameters were optimized empirically for the best reproduction of experimental data (Table 3).
A model with an equal regression rate at all ages still does not result in a good reproduction of the data.
Reproduction of experimental data is desirable for assessing accuracy, but modern in silico approaches have matured beyond this modest initial goal.
A value for the allosteric parameter of 0.7 for all models allowed the optimal reproduction of the data of Kim et al. (2004a) and of Marles-Wright et al. (2008) [ 10].
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