Sentence examples for expected divergence from inspiring English sources

We present the results of our code calculations which show that the expected divergence, 200 μrad, can be readily measured.

Although proline and glycine content are in general indicators for the entropic elasticity as expected, divergence from simple additivity is observed.

However, the divergence observed among these strains was 0.1%, 35 fold lower than the expected divergence.

A similar estimation led to an expected divergence of 28% between maize and rice in the entire gene region.

Yet another improvement could consist of reducing the expected divergence between tiled sequences and the sequence of pathogens to be detected.

Possible interspecies shifts in the synonymous substitution rates at specific sites [55] would then explain the excess of higher than expected divergence rate at sites that are also highly variable within a species.

The maximum age of S. symbiotica as an aphid symbiont can be estimated at approximately 90 My by comparing the divergence between S. symbiotica and free-living Serratia lineages to expected divergences based on two different approximate rates for bacterial evolution (supplementary table 2, Supplementary Material online).

Given that populations have diverged at a genetic level, we can also expect divergence at a morphological level (although the same populations were not compared for molecular and morphological analyses in this study).

On the other hand, under a mosaic evolution model we would expect divergence in patterns of evolution between whole brain size and individual brain structures, and especially among structures, as these are predicted to vary in size independently [ 1].

This is expected because divergence amongst yeast sequences is at least as large as that of the chordates [ 58], so divergence in mammals should be smaller.

Consequently, the posterior distribution of the parameters, in a Bayesian setting, concentrates around the "true" parameters, and we can employ Laplace approximation and speed up the estimation of the expected Kullback Leibler divergence (expected information gain), the optimality criterion in the experimental design procedure.