Sentence examples for work of identifying from inspiring English sources

Exact(29)

That said, we still need to do the laborious work of identifying the right stocks to buy.

In the meantime, she said, the work of identifying the tens of thousands of freelance articles -- many from the Travel section, the Book Review and the Op-Ed page of the newspaper -- and deleting those in question is under way.

In the Rio Grande Valley, in Texas, several told me that they view the work of identifying individuals who may have fled serious harm as one of the most rewarding parts of their job.

Senator Sherrod Brown, an Ohio Democrat, said Thursday that the absence of leadership was complicating the work of identifying "systemically important" financial firms that could pose a threat to the broader economy.

"We've learned there's no shortcut to fixing the public finances to provide economic security for working people – that's why in the spending review next week we'll continue the hard work of identifying savings and making reforms necessary to build a resilient economy".

After the crash of a government plane in 2010 in Russia, which killed 96 people, including Poland's president, Ms Kopacz went to Moscow to take part in the stomach-churning work of identifying the dead.Ms Kopacz has promised similar toughness during this week's European Union talks on the reduction of carbon emissions, resisted by Poland, which relies heavily on coal for its power.

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Similar(28)

In this work, instead of identifying the most important nodes in a network, we consider identifying the most impactful edges in a network.

The dim lighting, ill-defined relationship to the recipient of the work, and absence of identifying features convey that whose penis this is does not matter.

Several industry executives cited a more fundamental force working in favor of identifying commenters.

It is beyond the scope of this work to identify which of these two measures is the better indicator of water intake.

This work explains the importance of identifying contradictions in a noisy dataset.

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