Sentence examples for degrees in the sample from inspiring English sources

In addition, the Georgia Institute of Technology is the primary engineering school in the University System of Georgia Georgiaa Tech accounted for 32.6percentt of STEM degrees in the sample.

It was also found that in investigated nanostructures, there is a defined orientational dependence of the PL polarization degree in the sample plane which correlates with the orientation of SiOx nanocolumns, forming the structure of the porous layer.

The peak of the mean degree for the volume-based samples is around 155 cities and the average degree in the samples is about 32.

Of note, area-weighted tessellation produced mean degree results in the sample areas (Ayrshire = 6.25; Aberdeenshire = 5.95) similar to that observed over the whole of GB by Keeling et al.[ 3] (6.5, in supplementary information).

The results obtained with the PCoA and STRUCTURE (Figs  5 and 6) showed a considerable degree of admixture, with three genetic clusters identified and represented at various degrees in all the sampled populations.

When (alpha= 1), the algorithm always accepts the picked node if it has smaller weighted degree than the current sampled node, which results in more uniform weighted degree distribution in the sampling as in the original MHRW algorithm.

Reticence was observed to a greater degree in the Ondo sample (59.4%, n = 57) than in the Nasarawa sample (40.6%, n = 39).

It is evident from the zero-field cooled (ZFC) signal that the diamagnetic signal does not saturate but continuous to decrease to lower temperature indicating some degrees of inhomogeneity in the sample annealed at high temperature.

Significance was then calculated using standard methods based upon the resulting correlation coefficient (r), and the degrees of freedom in the sample (n-1).

The sharp fall of the permeability at the Curie point indicates the degree of homogeneity in the sample composition [32].

We provide theoretical results that characterize the minimum computational effort required to achieve a certain degree of accuracy in the sample approximation.