Sentence examples for drop validation from inspiring English sources

Wedge drop validation studies using two different solvers, one single-phase and the other two-phase, shows good agreement with experimental data for time history of pressure gauges.

The experimental data was used for (a) determination of an empirical correlation for the effect of the number of passes and number of flow channels per pass on the pressure drop; (b) validation of a friction factor model through parameter estimation; and (c) comparison with the simulation results obtained with a CFD (computational fluid dynamics) model of the PHE.

What will validation validate?

Through an iterative process, we dropped SNPs with validation scores <0.6 and replacement haplotype tagging SNPs were identified using Haploview until a complete panel of 768 SNPs were chosen.

It is these discordant pathways that, when used as a feature, dropped the external validation accuracy and caused the observed fluctuation of accuracies shown in Figure 3.

This publication found that TA results confirmed problematic issues in 82% of the items dropped during the content validation and psychometric evaluation of the Youth Quality-of-Life Instrument Weight module.

While the accuracy of the classification of the training dataset is very well (approx. 84 % for decision tree), the accuracy for the validation dataset dropped below 50%% for some algorithms, which is worse than that for random classification.

It was not possible to preserve the skeleton and piglet 11 therefore constituted a drop-out from histological validation at the 8th interval.

The study design consisted of serial CT scanning of individual piglets from 2 8 times at biweekly intervals (Table  2).> -wrap-foot> *Piglet 11 constituted a drop-out from histological validation at the 8th interval.

On the study start date, the piglets were a mean of 75 days old (range: 70 82, Table  1) and weighed a mean of 26 kg (range: 20 38 kg, Table  1).> -wrap-foot> *The piglet identified as piglet number 11 in Table  2 constituted a drop-out from histological validation at the 8th interval.

The performance in cross-validation drops to MCC = 0.455 with 40 organisms, 0.275 with 30 organisms, and becomes close to random with 20 organisms (MCC = 0.135).