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The model also provides a basis for a spatial extrapolation when being run with appropriate data sets that represent the regional variability of relevant input parameter.
With appropriate data mapping engines, an existing BPM may be readily used for performance-based simulation which requires significantly less effort compared with the traditional means.
Although there are discussions about their ability to generate meaningful data for the translation from animal to humans, it appears that better data quality and better design of the preclinical experiments, together with appropriate data analysis approaches could make these data more informative for clinical development.
Four assistant enumerators were trained and equipped with appropriate data collection skills for the study.
The results clearly show the benefit of such automated patent analysis methods when combined with appropriate data sources.
As far as the complexity of the proposed predictor is concerned, once the NN is trained with appropriate data set, then the computational complexity is significantly minimized.
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For example, atomic coordinate information and heat of formation data may exist for multiple conformers of a single molecule, with every conformer annotated with the appropriate data.
With an appropriate data backup system, electronic records can be reconstructed after a fire, flood or other act of nature.
Fortunately however, the Semantic Web provides an excellent opportunity for significantly simplifying this problem with the appropriate data representation and sufficiently advanced data conversion tools.
Firstly, the NN in CUpredict is trained properly with the appropriate data set and once it is trained, its complexity is significantly reduced.
Results show that, with the appropriate data preparation steps, effectiveness of bug localization is at least 34% lower, compared to the effectiveness without the data preparation steps (Section 3.5).
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