Sentence examples for effect on completion from inspiring English sources

Exact(3)

Only the variable containing the benefit to completion in terms of further study has a more pronounced effect on completion as indicated by a predictive margin of one percentage point increase in completion probability between tertile 2 and 1 and a 3 percentage point increase between tertile 3 and 1.

26 Our study found that breaks of 6 months or more from colonoscopy training had no significant effect on completion.

We also analyzed phototaxis in Blastocladiella zoospores incubated with the guanylyl cyclase inhibitor LY83583 [ 31] at a concentration at which no effect on completion of the life cycle or on zoospore swimming is observed.

Similar(57)

Thus, while macroeconomic conditions may have a significant impact on registration, the results suggest that these have only a small negative impact on long-term continuation, but no statistically significant effects on completion and discontinuation.

Material incentives and enablers may have some effects on completion of prophylaxis for latent TB in some circumstances but trial results were mixed, with one trial showing a large effect, and two trials showing no effect (low quality evidence).

In addition to this discouraging result, the increase of search pattern size or complexity had an even more profound effect on query completion, from exceeding the completion time limit to SPARQL query engine-triggered query termination due to the query computational load exceeding any reasonable expectations, of 11 years, for example (results not shown).

With the work being done by a single contractor in the North, the outbreak of the Civil War had little effect on the completion of the dome.

While having no effect on the completion of the GED test, high school graduation, or college attendance, Career Academies nonetheless raised the earnings of young men by 17percentt.

Sjoquist and Winters (2015) use the same preferred specification and confirm that there was no significant effect on degree completion in the USG dataset.

However, a 2015 study by Ousterhout et al. [65] used block-time analysis to identify performance bottlenecks in Spark and they found that improving network performance only had a minimal effect on job completion time while the real bottlenecks were actually occurring on the CPU rather than I/O as previously thought.

Direct observation may have little or no effect on treatment completion in injection drug users (low quality evidence).

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