Exact(3)
The matrix A is trained by using the dataset shown in Section 5, and the matrix A is contained of the eigenvectors of Equation (7).
We estimate the language total variability space by using the dataset shown in Section 5, and we suppose that a given target language's entire set of utterances is regarded as having been belonging to different language.
The OCT1-mediated fraction of the total uptake was calculated by subtracting the uptake in the control cells from the uptake in OCT1*1-overexpressing cells using the dataset shown in (b).
Similar(57)
The structures used in the dataset, shown in 3(b), are drawn in a way that makes the common structure evident to a chemist.
Finally, the sensitivity analysis using all patients in the dataset (shown in Additional file 1: Table S4) confirmed our results in the main analysis: the patients meeting only 1-2 criteria were at increased risk compared to the No metabolic syndrome group, even in this larger dataset with more missing values.
Using the dataset, we showed that Zhang's model overestimates forest ET in temperate and boreal regions with low annual mean temperature (T) owing to the E0 value.
SRD-CP framework is empirically evaluated using the dataset and is shown to be significantly more efficient in terms of document association level computation rate, processing time and user result retrieval rate.
For two of the clusters, the analysis using the entire dataset showed consistently earlier tMRCA estimates compared to the analysis using cluster strains only.
A cluster analysis was performed using the dataset of quadrats showing L. multiflorum presence.
Because a comparison of conditional and unconditional logistic regression models using the full dataset showed that the odds ratios obtained by the two methods were nearly identical, stratified and subgroup analyses were conducted using the unconditional logistic regression model and adjusting for the matching factors (cohort, race, age (log-transformed) and season at blood draw).
Further, the results of a parallel analysis [ 19] using the same dataset showed no components exceeding the corresponding criterion values (8 variables x 816 respondents x 100 replications); the highest eigenvalue produced by the parallel analysis was 2.0.
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