Sentence examples for supervising which from inspiring English sources

Exact(1)

You don't have to fully take over her finances – you could do it with her supervising, which might be a good compromise – it doesn't have to be all or nothing.

Similar(59)

And the formative influence of the prayer book that Archbishop Cranmer first supervised, which reached its present form in 1662, employing the most elegant and luminous language ever devised for liturgical purposes in the English-speaking world, is very clear in Green's instinct for words.

White employed a long-dormant doctrine called "failure to supervise," which enabled the S.E.C. to charge the heads of companies in connection with misdeeds they did not personally commit and may not even have known about, as long as they had "culpable involvement".

One of the main issues contributing to this situation is that health staff is usually underpaid and poorly supervised which leads them to request money from patients.

Monitor, which supervises foundation trusts, is reportedly "at war" internally due to its two conflicting duties – to force competition yet ensure the financial viability of trusts.

Ms. Zelhof reserved her most blistering criticism for the State Health Department, the agency responsible for supervising Pacific House, which is at 1140 Pacific Street.

He'd been in that state for two days, said Mark Perez, the show's supervising producer, which didn't seem to augur for great TV.

Lachlan here on my left is supervising companies which provided 60% of last year's huge operating profit.

And, for their part, the investigators were receiving no help from bank regulatory agencies (in the 1990s, successful prosecutions after the savings-and-loan scandal hinged on referrals from the responsible supervising agencies, which provided key roadmaps for F.B.I. investigations).

This fact usually forces advisors to supervise students which either belong to a broad variety of different degrees or possess a different background knowledge.

Furthermore, we devise a technique for multi-scale feature abstraction using deeply supervised branches which are connected to all convolutional layers of the multi-stream CNN.

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