Sentence examples for leverage a different from inspiring English sources

Exact(1)

The appeal by Wyeth and Pfizer's Upjohn unit sought to leverage a different part of the appeals court ruling ordering a new trial on punitive damages, which a jury had set at $27 million.

Similar(59)

If the now mandatory guidance from the commissioning board reflects the strong evidence base for patient education, support to self-management, participation in treatment decisions and personalised care planning, and if this is followed by commissioners leveraging a different culture of care from their providers, it is here that the greatest gains for patients could be achieved.

A context-inclusive knowledge resource is easier to utilize when the resource is being used in the context in which it was intended (e.g., the order entry system of a specific vendor), whereas a context-independent knowledge resource is easier to utilize when the resource is being leveraged in a different setting.

Lehman prefers to focus on a different leverage ratio, which conveniently excludes some "safe" assets that to me don't look quite so safe these days.

3. Leverage the strengths of a different perspective.

While Monomoy is undoubtedly a better example of most private equity middle-market deals done with little leverage, it operates in a different universe from the megafirms, where high management fees, dividend recaps and huge amounts of debt are the rule.

The NRC's move to generate common science standards offers a different leverage point for modernizing the genetics curriculum.

They were interested in using the story as leverage in order to get a different story.

Sannikov, who was beaten by riot police, after running for president in 2010, said the EU had a lot of leverage and could have taken a different approach.

He is interested, however, in leveraging the steel quarrel into a different kind of opportunity, as can be glimpsed in a letter he sent to his American counterpart, Robert Zoellick, in mid-February.

Transfer learning (TL) [3, 6, 7] aims to produce an effective model for a target task with limited or no labeled training data by leveraging and exploiting knowledge from a different, but related source domain to predict the truth label for an unseen target instance.

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