Sentence examples for enabling us to create from inspiring English sources

Exact(11)

The most common improvements made to BEDCI questions involved rephrasing questions to eliminate jargon and rewording answers using vocabulary that students expressly stated they would use (thus enabling us to create more effective distractors; see Supplemental Table S1).

"We use artificial intelligence to learn these relationships, enabling us to create control models.

"We came home convinced that with waste, biomass resources, wind and sun we could diversify the economy alongside Kermené, enabling us to create some qualified jobs," says Michel Fablet, the leader of Le Gouray town council.

John Berry, the ENO's artistic director, said: "We have been working for some time with the arts council to develop a new business plan which recognises the challenging funding climate and reduces the cost to the public purse, while also enabling us to create an exciting and sustainable future for ENO and maintain our artistic quality, ambition and reach, nationally and internationally".

"Only a 'Yes' vote will ensure we have full powers over job creation - enabling us to create more and better jobs across the country.

"Put simply, Project SHIELD is an amazing leap forward, enabling us to create console-quality visuals previously unthinkable on a mobile platform".

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Similar(49)

The use of ARIMA models enables us to create short-term predictions of injury mortality in China.

To establish a transcriptome catalogue for fertile garlic, we used MiSeq pair-end technology, which enabled us to create an assembly of longer contigs.

These findings are important because they enable us to create superconductors from the atomic level using state-of-the-art nanotechnology.

In order to obtain a representative sample of truck drivers which would enable us to create before-after intervention comparisons, we used the same sampling approach in the same areas, i.e. self-weighting cluster sampling.

This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.

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