Sentence examples for the same subsample from inspiring English sources

Exact(6)

In Figs. 15a, 16a, 17a, 18a, 19a and 20a, the huge standard deviation shows how much individual pore volume within the same subsample differs from the subsample mean.

Do the three different systems of measuring and classifying lymphedema identify the same subsample of subjects as having lymphedema?

A densitometry was made in the same subsample of 200 students to more accurately estimate fat mass, lean body mass, and bone mineral density.

A separate run with the same subsample of organisms along with two archaea (Aeropyrum and Methanopyrus) was used to root the tree, and yet another separate run was used to place Chloroflexus, a partially sequenced genome.

When considering the second research question of whether the three different measurement tools identify the same subsample of subjects as having lymphedema, analysis demonstrated that the three tools identified different subgroups.

Thus, while here only the 13-month data (which was the time point that related to later ASD diagnosis) are analysed, the same subsample was used to allow direct comparison across papers.

Similar(54)

The majority of variability exists between different subsamples and repeated egg counts on the same subsamples, whereas the variability of FECs between following days can be considered negligible.

With the AGM, 170 FORCs were also measured on the same subsamples, at averaging time of 200 ms and a field increment of 1.06 mT up to a maximum applied field of 1 T.

The same subsamples can be used to perform a robustness check for the non-parametric matching described above.

Application of this test to the same subsamples based on phylogenetic species and clades of the combined tree confirmed the results of the previous analyses, and also detected no recombination in T. harzianum, T. sp. 'afroharzianum' and between representative strains of the Harzianum-Catoptron Clade (P = 0.1897, P = 0.2773 and P = 0.3406, respectively).

Table 12 depicts results for a selection that aims at a good coverage of representatives from different heritage while limiting their choice: Random Forests are chosen as good example of boosted decision trees which at the same time subsample the feature space and thus inject random in the bootstrapping and feature optimization process.

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