Sentence examples for significantly distinguishable from inspiring English sources

The results also reveal that the adopter group is also significantly distinguishable in terms of food security status, measured in terms of household food calorie intake/day per adult equivalent.

We expect that, at some high mutation rate, this fidelity drops significantly enough that the polymerase rate inherited from one generation to the next is not significantly distinguishable from a randomly assigned value.

Further, we find that this feature, termed protein core atomic interaction network (or PCAIN) is significantly distinguishable across different folds, thus appearing to be "signature" of a domain's native fold.

Similarly, eccentricity (i.e., the ratio of the lengths of the principal axes of the least-squares plane through the atoms in the interface) was not significantly distinguishable (0.72±0.12 vs. 0.70±0.12).

Asparagine (N) is the most significantly distinguishable among all residues.

In contrast, the osteosarcoma cell line MG63 was significantly distinguishable from primary cells [ 50].

Based on the growth conditions of sample M, the Al source temperature was elevated to 1240 °C to grow sample P. The sample presents a NW density of 1.8 × 109 cm−2 as well as a significantly increased density of distinguishable single NW of 3.9 × 108 cm−2, accounting for 21.7 % of the total NWs.

Catastrophic and severe epidemics and (b)) peaked sooner than the other groups and also had significantly higher peaks making them more distinguishable.

A comparison of the effect sizes for the two significantly positive relationships yielded a statistically distinguishable, twofold difference in their magnitude (z = 2.06, P = 0.039).

Hence, the detection objective 2 captures an image of clearly distinguishable beads from the sheet with significantly less out of focus signal.

Strengths of this study include its use of CFA, a model-based approach, which showed that the standard model of child anxiety disorders (as distinguishable but related entities) was a significantly better fit to the data than any alternative model.