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Since validity of the ZDOCK analysis is affected by the accuracy of the search algorithm as well as the protein-protein complex to be predicted, some of the top-scoring predictions resulted from the soft scoring function of the program could be false positives (Wiehe et al., 2008).
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These predictions result from the solution of linear programs (LPs).
We compare predictions resulting from several modeling techniques and several features based on different student behaviors.
Various retrofit measures are applied and used to assess accuracy of retrofit savings predictions resulting from using the calibration procedure.
This ensemble was constructed by running several GCMs for a common set of climate experiments to assess the uncertainty in climate predictions resulting from structural differences in climate models.
Ductility predictions resulting from the model are sensitive to both the volume fraction and matrix work hardening exponent.
In addition, the theoretical predictions resulting from the model were validated using standard XRD peaks obtained by computer simulation from first principles.
The model was calibrated using a variety of constraints to test the uncertainty on model predictions resulting from the undocumented presence of reductants such as pyrite.
Sensitivity of the predictions resulting from modern and "vintage" (late 1970's) logging suites is discussed as are the various quality control measures employed.
By applying the inverse link-function, positive predictions result from the model.
Furthermore, tsunami-height predictions resulting from the smaller-earthquake scenario are generally smaller than the historical tsunami heights (K = 2.02).
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