Sentence examples for separate the populations from inspiring English sources
He said again on Monday in a speech to Parliament that if those peace talks failed, he would pursue a plan to separate the populations unilaterally, moving some Israeli settlements and withdrawing some forces from the occupied areas of the West Bank and the Gaza Strip.
Some conditions, such as hypertension, involve cutting between normal and pathological parts of a continuous variation, even in the absence of clear underlying malfunctions that separate the populations.
Arbitrary boundaries were then used to separate the populations into subspecies.
He said the subcommittee carefully reviewed the research on whale genetics and migration patterns, but that "there is not a clear line" to separate the populations, but rather "a bleeding of animals as you move north".
In summary, haplotypes from parthenogenetic populations formed a common and widespread lineage of six highly similar haplotypes (eight if including the Australian ones) despite the large geographic distances that separate the populations analysed, while two of them form a 'rare' and 'localised' lineage from a single population (ATA).
The Bayesian clustering analysis was used to first separate the populations into two groups.
A suitable age-structured model for many fish species is to separate the population into yearly groups [12].
Our study shows that it is important to separate the population into different groups, especially distinguishing between rural and urban workers as their incentives and outcomes differ largely, even independently of personal observable characteristics.
When we stratify the patients to two groups, we can draw the survival curves and check to see if they separate the population in a significant manner (Figure 2).
This favours the accumulation of deleterious mutations that separate the population steadily from the optimum: recovery is not possible, and eventual extinction might supervene.
This finding means that the estimated propensities calculated from the training set are unbiased and are significant enough to correctly separate the population of positive and negative instances.
