Sentence examples for explain the disproportion from inspiring English sources

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DOI: http://dx.doi.org/10.7554/eLife.03251.020 10.7554/eLiFigure51.021 Figure 7. High cooperativity does not explain the disproportion between trans -SNARE interaction and fusion rate resulting from HOPS addition.

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"There's a lot of Carolina sorority girls here tonight," Mr. McKenna explained, acknowledging the disproportion of blond heads lined up for pork sandwiches, dribbled with the vinegary sauce and accompanied by coleslaw and potatoes.

In addition, the substantial functional excess found in the extreme of the distributions of the statistics (particularly of non-synonymous SNPs) also points at positive selection as the most likely force for explaining this disproportion.

Based on this physiological disproportion of CO distribution, Schneditz et al. proposed the regional blood flow (RBF) model and explained the post-dialytic rebound phenomena for urea and creatinine [ 26, 27], Smye et al. first employed this RBF model for explaining the effect of intra-dialytic exercise with the assumption of increased CO [ 28].

The 0.85 ratio of tryptophan + phenylalanine to proline (102+35/161) in the V3 loop of subtype B in Brazil cannot be explained by chance because of the disproportion in the tryptophan + phenylalanine to proline ratio observed in worldwide subtype B isolates (60+12/7689 = 0.009).

The fact that complete genome sequences are available now for a limited number of free living protists explains a significant disproportion in the study of HGT in different groups of protists.

But caesarean rates have escalated way beyond what can be explained by cephalopelvic disproportion, even taking at face value the specious figures (which estimate instances of CPD were 30 in 1,000 births in the 1960s and are 36 in 1,000 births today).

The increased rate of OASIS among women undergoing VBAC may be explained by fetopelvic disproportion leading to a primary caesarean section possibly predisposing to OASIS at first vaginal delivery [ 25, 38].

The disproportion between data volume and number of qualified researchers can be explained by the growing complexity involved in outcomes research projects using secondary data analyses.

It's the disproportion.

The disproportion of it - and the injustice - had become total.

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