The new Flexplex assay coamplifies 23 autosomal STR loci, three Y-STR loci, and amelogenin for advanced sample discrimination.
Moreover, a wide range of qualitative determinations, e.g. for authenticity control, sample discrimination, the assessment of sensory, rheological or technological properties, and physical attributes have been reported.
Assessment of aquifer heterogeneities and groundwater contamination was possible due to sample discrimination at a scale of approximately 2 ft (∼0.6 m), a much finer resolution than is attempted in many remedial investigations of polluted aquifers.
Effects were seen in a minority of studies, but not consistently showing differences in mean scores or changes in sample discrimination.
The added value of the RATA approach was illustrated in the sample discrimination for some food products when using the weighted attribute scores for analysis.
Compared to balancing presentation order only between participants, this experimental factor may make the task more difficult/tedious for participants and shift their attention away from the sensory characterization task with possible detrimental effects for sample discrimination.
The type of context that was evoked (last time ate/drank vs. specific situation) did not systematically influence the results, although the use of a description phase during context evocation was detrimental to hedonic sample discrimination.
In this way, the higher the VIP score of a particular variable (usually a threshold value of one is used) is the more importance of this variable for the sample discrimination.
For the validation sample discrimination by the any-stage AKI score was better than the Euroscore (AUC 0.68; 95% CI 0.67, 0.70) and Cleveland clinic (AUC 0.70; 95% CI 0.69, 0.72), and equivalent to the Mehta Score (AUC 0.74; 0.76, 0.76) and Ng score (AUC 0.73; 95% CI 0.71, 0.75) (Table 8).
Besides, PLS-DA is preferred to PCA for sample discrimination because the dimension reduction provided by PLS is explicitly guided by variability among groups, whereas PCA can identify only gross variability directions and is incapable of distinguishing variability that occurs among groups and within groups (Quintás et al. 2012).
