Sentence examples for allowed to make important from inspiring English sources

The phrase "allowed to make important" is not correct in written English.
It seems to be missing a noun after "important" to clarify what is being made important.
Example: "He is allowed to make important decisions regarding the project."
Alternatives: "permitted to make significant" or "authorized to create important".

Exact(1)

In a phone interview, he agreed that young children can't be allowed to make important decisions for themselves, joking that he won't let his own four-year-old son decide what to have for dinner, much less make choices that could change his life forever.

Similar(59)

Importantly, the new sets of experiments allowed to make a new and important conclusion in the Results section: "Furthermore, since re-introduction of miR-142-3p miR-142-3p miR-142-3prentintod MKs restored functional identity, we conclude that there might be a continuous requirement for miR-142-3p activity to maintain MK maturity".

The model together with experimental data obtained using overexpression of c-FLIPL, c-FLIPR or downregulation of c-FLIP, as well as inhibition of caspases by zVAD-fmk or downregulation of caspase-8, allowed to make a number of important findings.

George's childhood was rather lonely, but as he grew up he was allowed to make his own decision the most important of which was his determination to write a history of science.

He's allowed to make outs".

Further, his testing allowed him to make important improvements on his designs.

These events are fun and educational and have allowed me to make important connections.

This allowed us to make important conclusions about the set of functions controlled by σ-associated regulators in D. vulgaris Hildenborough and related Deltaproteobacteria.

This allowed us to make important inferences about the dioxin levels in the blood in the referent population, as well as to characterize the full range of the distribution for each congener in blood, household dust, and soil.

They used machine learning to augment the power of seasoned professionals — in this case, project managers — by allowing them to make important business decisions well in advance.

This past-voting data allows them to make important adjustments to their samples with the aim of strengthening their overall accuracy.

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