Sentence examples for team filtered from inspiring English sources

Exact(2)

Shortly before the day chosen for the attack, Price and her team filtered into London and checked into hotels.

Then, as the rest of the team filtered to the locker room, he remained in the gym, first working on his shooting with the assistant coach Brendan Malone and then playing a not-so-spirited game of one-on-one with John Wallace.

Similar(58)

After game two, first baseman Derrek Lee said the team filters out all that "background noise".

The Baylor team filter their results with a regularly updated, internally annotated gene list before clinical reporting by a team of clinicians and genetic counselors; they also implement three levels of review, ending up with a 'sign-out' conference.

The startup's in-house editorial team filters and curates thousands of articles for each of its clients' specific needs and interests, whether broad or niche.

Many thought it would be no great surprise if League Two Exeter won when news of Klopp's team had filtered through.

Dr. Togias also said that Fluka had certified that its hexamethonium was 99.6percentt pure and that his team would filter the material and test it for a bacterial impurity known as endotoxin before each administration of the drug.

The freshly minted members of the United States men's Olympic gymnastic team were filtering out of the Celtics' locker room -- a shamrock-clad setting they borrowed during the Olympic trials this weekend -- when John Roethlisberger pulled Jamie Natalie aside tonight.

After hunting down salient information, including dates of birth, dates of their heresy accusations, and what fields they studied in, McCandless and his team sliced and filtered the data to isolate the most important and exciting narratives.

That means deploying censorship teams and filtering technologies that sift through text, photo and video.

Such new listening command centers will allow CEOs and their teams to bypass information filtered by intermediaries and directly ask more questions about near-misses and anomalies in the data.

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