Sentence examples for environmental variances from inspiring English sources

Bazzani et al. [6] presented the Symmetry-Driven Accumulation of Local Features (SDALFs) which considers symmetry and asymmetry perceptual principles to handle the environmental variances.

Genetic, phenotypic, and environmental variances were calculated according to the following formulas: Genetic, phenotypic, and environmental variances were calculated according to the following formulas: mathrm{VP}kern0.5em =kern0.5emathrm{VG}+mathrm{VE}E} (1) mathrm{MSE}ern0.5em =kern0.5em mathrm{MSE} (2) mathrm{VG}kern0.5em =kern0.5em left(mathrm{MST}hbox mathrm{MSE}right)/mathrm{r} (3).

The batch reactions used in this study quantify the impact of environmental variances on different manganese-oxides' reactivity and provide insight to their roles in governing chemical cycles in the Critical Zone.

We then used this ratio to rescale the habitat-specific environmental variances according to the habitat-specific rate.

We rescaled the variance of habitat-specific demographic rates by calculating the coefficients of variation for the pooled estimates of these demographic rates and then used these coefficients of variation to calculate habitat-specific environmental variances.

Environmental variances of the binary demographic rates were rescaled by first calculating the ratio σ2e/(p×(1−p)), where σ2e is the temporal environmental variance as calculated above, and p×(1−p) is the maximum possible variance for a rate (where p is the overall value for the rate in the population [45]).

Very little, however, is known about the genetic architecture of environmental variance.

that attributable to differences in perception, which inflates the environmental variance component.

In all cases, thermal stresses increased the individual environmental variance, i.e., increased the developmental instability.

However, the environmental variance of GxE under drought stress in wheat was promoted by the developmental plasticity.

The estimated mean and environmental variance per cow was used in a Bayesian multi-locus model to identify SNP associated with either the mean or the environmental variance of SCS.