Sentence examples for strongly assigned from inspiring English sources
The phrase "strongly assigned" is not commonly used in written English and may sound awkward.
It could be used in contexts where you want to emphasize the certainty or firmness of an assignment, but it may not be the best choice. Example: "The tasks were strongly assigned to each team member to ensure accountability."
When the log likelihood score reached a plateau, there was an asymmetric distribution of genotypes and some individuals were strongly assigned to populations, corroborating the presence of a real population structure [ 31].
Second, as distance to PNG decreases, individuals are much less strongly assigned to the population from which they were sampled because individual levels of admixture are increasing (Fig. 5A).
First, the majority of individuals were strongly assigned to the population from which they were sampled, and this effect is strongest on the NPA and for locations in the southern TS, especially those within the Special Quarantine Zone.
However, only 27% of individuals of the Spanish I. elegans were strongly assigned to I. elegans (admixture proportions ≥ 90%) and one individual (from the sympatric population Alfaro) was assigned to I. graellsii (admixture proportion to I. elegans < 10%).
The most frequently experienced pain from dentin hypersensitivity is characterized by a rapid onset, sharp burst of pain of short duration strongly assigned to the application time and site of the used stimuli.
This test was also significant at K > 7 for the SNP data, reflecting a continuous increase of the likelihood values with respect to K. When more than five inferred populations are considered, no individual was strongly assigned (Q > 0.8 for SSRs or Q > 0.65 for SNPs) to the additional inferred populations.
The different levels of agreement from "strongly disagree" to "strongly agree" were assigned a score from one to five.
Galen's approach was strongly teleological, assigning each location a specific function and requiring balance for the proper functioning of the whole.
The same finding is true when students were asked about their desire to take the course with those who strongly disagreed assigning excellent ratings to their courses 26% of the time.
Multiple regression analysis revealed that preferences for all landscape categories were predicted strongly by multifunctional assigned values.
While for the "strongly agree" response is assigned a score of 5, for the "strongly disagree" response is assigned a score of 1.
