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The focus of this paper is on integrating neuroimaging measures with genetic designs, where neuroimaging measures may serve as an intermediate phenotype in investigating the effect of single genes on human behaviour, and by extension, in neuropsychiatric disease.

The high cost of protective off-site mitigation measures may serve as a catalyst to fund research on how to enhance habitats to increase sage-grouse populations.

Such measures may serve as useful tools in any behavioral study in which the movement of a fly is an important variable and can be incorporated easily into many setups, facilitating high-throughput phenotypic characterization.

Given the apparent sensitivity of this measure to subtle effects when other cognitive measures are not, and evidence that intraindividual variability predicts conversion to mild cognitive impairment over several years [33], it is possible that these measures may serve as a valuable "early warning" screening tool in community and healthcare settings.

These findings suggest that EEG measures may serve as useful prognostic indicators in alcoholism.

These insurance measures may serve to improve access to medicines; however, their effectiveness is yet to be observed.

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Although BMI, a less expensive and convenient measure, may serve as an indicator for insulin resistance among people with excessive weight, an elevation in the TG/HDL-C ratio could be a novel marker for hyperinsulinemia among people with normal weight in routine clinical practice.

The FNAES appears to measure a conceptually unique aspect of body image that has not been indexed by previous measures and may serve a useful role in risk factor and preventive work.

Thus, it is important to investigate physiological measures that may serve both as markers of LBP severity and clinical response to SM.

Conclusions: Weight-bearing ability can be reliably measured and may serve as a useful outcome measure in individuals with stroke.

For example, either the percentage involvement of tumour or its measured size may serve as parameters of cancer burden.

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