Sentence examples for contributing potential from inspiring English sources

As the hospital's president, Dr. Robert Newman, wrote in a memo to his fund-raising staff: "Madame, as you know, is the biggest bucks contributing potential we have ever had".

The difference in prevalence between these two DSH assessment modalities is statistically significant, t(6) = 3.17, p <.03, indicating that the type of assessment tools used are contributing potential bias to estimates of self-injury within adolescent populations.

In this example, middle work might entail hundreds of copywriters using an online network to contribute potential email headlines, allowing a marketer to choose among dozens of headline options and submit several choices for A/B testing.

To our judgement, both NMB drugs contribute potential advantages and greater safety for use with critical patients, Nevertheless, their prolonged use is not exempt from possible complications, such as neuromuscular disorders.

These findings contribute potential important new insights into the biology of connective tissues.

Taken together, the findings from this study contribute potential insights into therapies for TD, and also provide fundamental information regarding the pathological mechnisms involved during the early stages of TD.

Theoretical modeling can test hypotheses quantitatively and has contributed potential mechanisms through which fisheries-induced evolution may lead to changes in harvested species (see Stokes et al. 1993 for many seminal contributions).

With strong anti-gay sentiments among the public, the paper could be contributing to potential violence against members of the LGBTI community.

Spate irrigation is increasingly recognized as contributing to potential of accessible water-resource use, local food production, and resource sustainability.

Parentage assignments based on microsatellite allele information could lead to the identification of appropriate parents contributing for potential progeny (Grattapaglia et al. [2004]a).

Findings in this study highlight how specific years, regions, and data products contribute to potential variability in deforestation emissions estimates.