Sentence examples for drawn from a network of from inspiring English sources

Exact(2)

Guides, Mr. Zack says, are drawn from a network of curators, gallery owners and art and architecture critics.

We identified a sample of 78 practitioners, drawn from a network of 13 practices: either in-depth process evaluation practices or others were associated with the principal and a senior researcher to test the reliability of the questionnaire.

Similar(58)

They contribute to and draw from a network of individuals, organizations, and other resources within this setting.

The Syrian Observatory for Human Rights, a British-based activist group drawing information from a network of monitors across Syria, put the nationwide death toll for the day at 370, including 174 civilians.

The dispute over chemical weapons came as the Syrian Observatory for Human Rights, an opposition group that is based in Britain and draws information from a network of activists within Syria, posted video on Monday showing combatants standing in front of what appeared to be the wreckage of a helicopter.

She sees the feedback and suggestions/guidance of the world-class industry and academic mentors and advisors as being immensely valuable as it draws from: "a large network of people thinking about the same kinds of problems".

In fighting for a crucial victory in the Texas contest, the Clintons are drawing from a deep network of friendships that was formed 36 years ago, when they were in their mid-20s, not yet married and working around the clock as volunteers for Mr. McGovern's campaign.

CashStar's value is also drawn from its network of more than 200 well-known brands, like Starbucks, Gap, Best Buy, Williams-Sonoma, Home Depot, etc., all of which are using the startup's platform to drive sales through on-demand digital gifting and multichannel marketing and loyalty strategies.

A similar conclusion can be drawn from a comparison of the two yeast metabolic networks that were used in building a consensus network [ 24].

At a structural level, all organisms achieve a balance between systems stability and responsiveness using complex networks of interacting genetic elements drawn from a wide variety of functional classes (e.g., proteins, noncoding RNA, epigenetic modifications, and DNA response elements).

It is partially for this reason that we have not emphasised the non-random sampling schemes more: a single instance of a network statistic represents only an instance of a sample drawn from an ensemble; for networks sampling of nodes leads to very broad distributions of sample statistics as would be expected for such highly correlated and structured data sets [ 1].

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