Sentence examples for more studies at from inspiring English sources

Exact(6)

It illustrates a high patchiness, definitely supporting the need for more studies at vents based on replicated sampling designs.

(2011) documented considerable variability in the extent of LA at scales of ≤100 200 km and called for more studies at finer geographic resolutions.

More studies at different levels of care and covering all the regions are needed to get a full picture of the prevalence and the cost of diabetes complications in the country.

They pointed out the possibility of making Type I errors (overlooking significant correlations) by using such a conservative method at shallow levels of divergence, but noted that more studies at this scale are warranted.

In spite of these facts and others, more studies at cellular/molecular/atomic/quantum levels and new physic-mathematical approaches are needed to have more meaningful results about the self-organization process in TGK.

Each of the risk factors shown was examined in three or more studies at least for one of the three review outcomes bnumber of studies with +/− /0 association/ out of total number of studies that tested a factor In summary, the majority of studies reported no association between demographic factors (age, gender, and education) and mental disorders.

Similar(54)

Thousands more study at the Asian campuses of European universities.

These attract thousands every year, and thousands more study at Israeli yeshivas.

Dr Peacey says: "Students don't always do enough to explain what it is about history that interests them, why this interest can only be met by undertaking more study at a higher level, and what should make me think that they have the potential and ability to study at this level".

In particular, the three-dimensional character of marine ecosystems requires much more study at depths where light penetration is perceived as important but is poorly understood.

The influence of individual studies was examined by omitting one or more study at a time to see the extent to which inferences depended on a particular study or group of studies (sensitivity analysis).

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