Sentence examples for large scale population size from inspiring English sources

Results from similar studies were considerably significant nonetheless, our study made use of a large scale population size.

This explains the slowdown of the accumulation of DMIs for large scaled population sizes observed in Figure 1.

For large scaled population sizes, we see that distributions are peaked near the optimal binding strength Δ G = 0, reflecting the efficacy of selection in large populations.

As discussed above a major determinant at large scaled population sizes of the time for RI to develop is the rate of substitutions on each lineage, the inverse of which is plotted as a dashed line in Figure 4; we see that although the inverse substitution rate is a good predictor for large scaled population sizes, for small scaled populations it fails.

This effect saturates for very small scaled population sizes, but diverges for very large scaled population sizes, to the point that reproductive isolation will take extremely long times for very large population sizes (4 N e κ F ≫ 10 ).

For large scaled population sizes there is a delayed, but very rapid, increase in DMIs, which does not seem to fit a power law but rather has a negative curvature on a log log scale.

For large scaled population sizes, as demonstrated in Figure S2 of Supporting Information, the hybrid binding energies have neutral dynamics and so the typical time required to fix r   * substitutions will vary quadratically with r   * and thus quadratically on ℓ.

In addition, we find that the variance of binding energies increases linearly with time in the limit of large populations (inset in Figure S2 in Supporting Information), so together with our results that indicate t * ∼ ℓ (inset in Figure 4), this suggests that the hybrid binding energies follow neutral diffusive dynamics for large scaled population sizes.