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The resulting data set is the first that provides species concentrations over such extremes of pressure, temperature, and stoichiometry, and it serves as an excellent base for the validation and refinement of future detailed chemical kinetic models.
11 31 Fourth, there is now a robust evidence base for the validation and reproducibility of many CMR techniques and an emerging pool of data regarding the prognostic implications of CMR surrogate endpoints.
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The final model was developed using partial least squares (PLS) regression analysis and selected based on a mean absolute error (MAE) based criteria for the validation sets.
The SF-36 data were compared with data from normative population whose individuals were drawn at random with respect to age and gender from a large data base (n=3000) used for the validation of the SF-36 in Germany.
The SF-36 data were compared with data from normative population whose individuals were drawn with respect to age and gender in a pairwise matching from a large data base (n=3000) used for the validation of the SF-36 in Germany.
The calculated velocity fields provided an overall picture of the flow behaviour, and constitute a data base that can serve for the validation of future numerical results.
Only samples with cycle quantification (Cq) <30 were considered suitable for further analysis based on the validation experiments for the performance of the set of primers and probes (Supplementary Figure 1a and b).
Thus, based upon the results obtained for the validation parameters, we suggest that the validated method can be used for the present study.
Since microarray and SISH based comparisons are common for the validation of gene targets, a riboprobe design pipeline that minimizes discrepancies in expression validation arising from transcriptional complexity was created by consolidating the Affymetrix probeset locations into the design of SISH riboprobes.
Based on the results for the validation data set, we showed that the transition model and the mixed effects model have almost the same predictive accuracy at the first few visits of a donor; however, for longer time series the transition model offers somewhat better predictions.
The newly validated database image iteratively serves as the new base point for the next validation cycle.
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