Sentence examples for are very relevant for from inspiring English sources

The phrase "are very relevant for" is correct and usable in written English.
It can be used when discussing the importance or applicability of a subject in relation to another topic or context.
Example: "The findings of this study are very relevant for understanding the impact of climate change on biodiversity."
Alternatives: "are highly pertinent to" or "are significantly applicable to".

Exact(16)

"These varieties are very relevant for climate change [but] we are losing them before our eyes without even knowing it".

"There are insights that are built into [HR functions] that are very relevant for business," Turbahn said.

These findings are very relevant for the health risk assessment of Bt crops, such as Intacta soybeans.

The results obtained from [8] work are very relevant for BP and have encouraged another research groups expanding the linguistics and statistics knowledge.

Similarly, as exemplified with carbon nanotubes, (dot{d} -dependent LCTEM studot{d} -dependentiaLCTEMradation induced by oxidizing radicalstudiesced by radiofysis are very relevananomaterialstandegradationinduced transformations undergone by nanoxidizinges inside biological oradicals [19].

The fact that this value is below 0.50 in 11 out of 17 territories is an indication that regional-shocks are very relevant for the understanding of the Spanish labour market behaviour.

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Similar(44)

"This is a theme that has been very relevant for many families".

They believe what they are going through is very relevant for the Kurds.

Sointu Fritze, chief curator at the Ateneum museum in Helsinki and lead curator for the exhibition at Dulwich, said Jansson's art and stories were very relevant for Europe today.

"The issues that the Olin case portrayed were very relevant for the kind of problems we're trying to encourage people to confront" in medicine, said Constance M. Bowe, an emeritus professor at the University of California, Davis, School of Medicine and author of the study.

Sentiment features were found to be very relevant for predicting the credibility of tweets.

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