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AsCNAR is one such method but the presently available implementation is not flexible enough to use on this type of simulated data.
Both ligand-and structure-based molecular modeling methods used in pharmaceutical discovery can be adapted to provide this type of simulated data.
This type of simulated test has the potential to complement and extend existing safety tests; facilitating earlier detection of torsadogenic compounds, and preventing potentially safe compounds being discarded unnecessarily.
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This is due to the type of simulated traffic.
This means that the estimated NPPs are sensitive to the calibration process and the type of simulated crop and hence are subject to uncertainties.
The minimization with respect to the model parameters requires, in general, the use of stochastic algorithms, of the type of simulated annealing.
To make sure that the estimated ETA ratios do not vary with the type of simulated crop, we repeated the whole process explained above for a C3 crop.
To check the sensitivity of results with respect to the type of simulated crop, another set of new ETA parameters are obtained using C3 NPP for all regions by AEZ.
We identify the type of simulated data best suited to assess these methods, and show that properties of the generative network, especially its size, significantly influence prediction accuracies of the methods.
The shell colour patterns of molluscs are also simulated by this type of model [ 24, 25].
A testing dataset was also created for each type of simulated (noisy) reverberant data.
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