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This method thus overcomes the limitations noted earlier of predictive models giving good results in a limited sequence and length data space and smaller range of salt concentration.
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Among the FSD models, the CF and MB models gave good estimates of mean velocity and temperature.
The NOx models gave good results with bituminous and sub-bituminous coal under fuel-lean conditions at 1750 K, and reasonable results in fuel-rich conditions.
All isotherm models gave good correlation coefficients with R2 > 0.9049.
It can be found that both models give good fitting, but similar to HPAM solutions, the Brostow's model correlated the DR reduction data better.
We can see in the tow earthquakes (BF475 and BF975), the models give good convergences compared to the experimental results and these models can predict the response of the structure especially for the IDBECP-4 Elements model.
Nevertheless, we believe that these uncertainties are relatively small and our simple models give good approximations of the experimental data.
Lignin models gave good predictions, with a 9% relative error, which improved slightly to 8% after correction for acid-insoluble ash.
Initial trials with animal models gave good survival results but it must be noted that the trials were small and the population studied was heterogeneous.
They found that both models gave good fits to both datasets, but that the model with two mutations implied mutation rates that were biologically implausibly low, by at least two orders of magnitude.
Expanding Michaelis Menten kinetics by a substrate inhibition factor resulted in a model giving good fitting to experimental points, independently on the initial colourant concentration.
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