Sentence examples for significant degree of variability from inspiring English sources

Exact(15)

As an evolutionary and reproductive mechanism, self-fertilization allows an isolated individual to create a local population and stabilizes desirable genetic strains, but it fails to provide a significant degree of variability within a population and thereby limits the possibilities for adaptation to environmental change.

DFT results clearly indicate a significant degree of variability in adsorption energies (ΔEads) at various sites so this variability be included in future DFT studies attempting to compare to adsorption calorimetry data.   5.

DFT results clearly indicate a significant degree of variability in adsorption energies (ΔEads) at various sites so this variability be included in future DFT studies attempting to compare to adsorption calorimetry data.

From our analysis of the chaperone expression data in ABA we can identify about 30 genes in the ABA that show a significant degree of variability in levels across different structures of the brain (Table 1, Figure 11, Table S3).

Genes within the DnaJb and DnaJc families as a whole are more consistently expressed between fore-, mid-, and hindbrain with a few individual genes showing a significant degree of variability.

Definition of elderly was associated with and explained a statistically significant degree of variability (P=0.002).

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Similar(45)

The results of the analysis reveal a significant degree of geographical variability in the travel behavior of seniors in Montreal.

A significant degree of interpatient variability was seen.

A variety of recent studies demonstrate a significant degree of within-placenta variability in measurements of both DNA methylation and gene expression (Yuen and Robinson, 2011).

It is surprising that a change in context did not add a significant degree of additional bias or variability to memory matches.

Finally, the application of HC and HP designs revealed a significant degree of uncertainty related to the intra-class variability and the predictive error of the models.

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