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Method validation is established on simulated MEG data from a delayed-match to-sample (DMS) task.
The connection between ALT and model validation is established first; then a VEDO model is developed using the prior information obtained from the computer simulation model.
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Rules for validation were established and translated into prototype implementations with the aid of literature.
Validation was established according to ICH guidelines, calibrations in matrix fitted a linear regression model with R2 > 0.997.
The design optimization was implemented by a two-dimensional Finite-Element Analysis (2-D FEA) and the validation was established by using Matlab software.
Model validation was established using an independent dataset of a different in vitro model: an in vitro three-stage continuous culture system.
For a given study and factor combination, the mean accuracy over the outer cross validation was established and compared to the IR (see Figure 6).
In the model AD, a similarity threshold between the training and validation set is established to flag the newly encountered compounds for which predictions may be unreliable.
The peptide molecular identification and solution concentrations are also confirmed during analytical validation; their safety is established through GLP (good laboratory practices) toxicological studies.
Thus, the validation of Lemma 5 is established.
The validation of the results is established using a large number of simulations.
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