Sentence examples for generated the largest number from inspiring English sources
On the other hand you cannot keep everyone out, because, after the crimes of the second world war, countries made solemn undertakings never again to abandon innocent people to persecution and conflict.The UN refugee agency notes that the wars in the Middle East and Africa have generated the largest number of people displaced by conflict since detailed records started to be kept in 1989.
These subpopulations also generated the largest number of ducts with lesions (Table 1).
When similar scores were obtained with different parameters, we chose the ones that generated the largest number of positive motifs.
Last, the DETECTER tool applied to the ABC transporter dataset (D2) generated the largest number of false negatives.
Health Care Professionals and Post Secondary Institutions generated the largest number of referrals and had the highest enrolment rates.
For GWAS data, the Plink set-based test generated the largest number of significant pathways among the four methods, regardless of tier one or tier two criterion.
The genomic organization of guppy LWS opsins is not currently known, but if guppy LWS opsins are arranged in a tandem array then it is possible that similar mechanisms may have generated the larger number of guppy LWS opsins.
Regarding the use of the patterns, the one that generates the largest number of erroneous triples was: NP ?
The market for department stores which usually serve as a mall's anchor, generating the largest number of sales–is saturated, and developers have been forced to try new approaches to keep consumers interested.
My goal here is a simple one: To free those employees from the yoke of their employers, and to encourage them to pursue more professional goals than merely opening up new accounts or generating the largest number of commission dollars for the month.
Although there is a larger proportion of acceptable compared with unacceptable continuations, any potential response bias arising from this should decrease the proportion of unacceptable judgements to the subordinate sentences, thereby biasing against our prediction that this condition should generate the largest number of unacceptable responses.
