Sentence examples for are likely to explain from inspiring English sources

The phrase "are likely to explain" is correct and usable in written English.
It can be used when discussing potential reasons or factors that may clarify a situation or phenomenon.
Example: "The researchers believe that several environmental factors are likely to explain the changes in wildlife behavior observed in the study."
Alternatives: "are expected to clarify" or "are probable to account for".

Exact(60)

These findings are likely to explain the current confusion concerning putative HAX1 function.

Moreover, the discovery of tumor stem cells and intratumoral heterogeneity are likely to explain recurrence.

The computations revealed considerable differences, which are likely to explain the substantial differences in wear produced by the simulators.

From both experimental and numerical studies, the physical mechanisms which are likely to explain the effect of inclusion morphology on the consolidation process are discussed.

We investigated the potential causes for the observed ice loss, finding that neither a change in ice dynamics, nor a more negative surface mass balance are likely to explain the persistent thinning of the glacier.

Fair enough, and those reasons are likely to explain Nintendo's situation, but is there something else going on?

The different methodologies of these epidemiological surveys are likely to explain a part of the variation in prevalence.

Figure 12 Two different types of outlier trends, which are likely to explain the formation of 2 clusters of outliers.

Differences in the aroma of Apo and IR64 during and after cooking are likely to explain much of the differences in consumer acceptance of the two varieties.

Together, these data suggest that interspecies differences are likely to explain the discrepancy in findings of the role of KATP channels in NO-induced vasodilation.

Multiple reasons are likely to explain this variability including the quality of care, availability of hospital support services, types and acuity of illnesses seen at a given facility and the selection of patients for the institution of CPR.

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