Sentence examples for density of ages from inspiring English sources

The posterior density of ages on constrained nodes was similar for some of the nodes, whilst others had a very different distribution.

We used TreeAnnotator v. 1.5.3 [ 74] to produce maximum clade credibility trees from the post-burn-in trees and to determine the 95% probability density of ages for all nodes in the tree.

Before the consensus tree was graphically illustrated by Figtree v.1.3.1, TreeAnnotator v.1.6.1 was utilized to produce maximum clade credibility trees from the post-burn-in trees and to determine the 95% probability density of ages for all nodes in the phylogenetic tree.

Recent evidence supported the view that the increasing density of aging human RBCs, attributed to a progressive loss of KCl and osmotic water, results from the cumulative effects of declining Ca2+ extrusion capacity of the plasma membrane Ca2+ pump, aided by minor episodes of increased Ca2+ permeability in the circulation [11], [12], [13], [14], [15].

The generally increasing density of aging RBCs has long been recognized, and density fractionation has been used extensively to separate age cohorts.

Density of age distribution of influenza B virus positive samples of Victoria (black) and Yamagata (red) lineages, collected from Australia and New Zealand during 2002 2013.

To compare the prevalence of different types and densities of age-related cataract in subjects with high myopia and emmetropia in an Indian urban clinic-based population.

However, low densities of age-0 Chinook salmon were frequently observed in the Cedar River during summer snorkel surveys, after the majority of juveniles have migrated to the ocean (P. Kiffney, NOAA Fisheries, unpublished data).

After adjusting for age-related changes in both DTI and ARQ, engagement in dangerous behaviors was found to be positively correlated with fractional anisotropy and negatively correlated with transverse diffusivity in frontal white matter tracts, indicative of increased myelination and/or density of fibers (ages 14 18, N = 60).

Because realized marginal prior densities of calibrated nodes can deviate substantially from the specified priors when multiple calibrations are used [ 56], we estimated the joint prior density of node ages by running an MCMC without data (by utilizing the "mcmc data = no" option in MrBayes).

Again, increases in rA reduce the population density of older age classes by greater proportions than younger age classes.