Sentence examples for attractiveness measures from inspiring English sources

Exact(14)

Although we found concave selection along the m1 axes imposed by all of our attractiveness measures, we found no statistical support for disruptive selection along this axis for any of our attractiveness measurements.

Participants' bodies were measured using a 3D scanner, scored on a traditional physical attractiveness measures – i.e. slimness, waist-to-chest ratio for men, and waist-to-hip ratio for women – and then rated by two separate groups.

In order to reduce the likelihood of tied rankings, the lexicographic procedure would be used to calculate attractiveness measures for each school by using every level lower than it as the contextual basis.

Additionally, both attractiveness measures were found to have a relationship with participant's level of life satisfaction.

"There seems to be a buffer of acceptable unreality that accompanies online dating, whether from age, filters or other attractiveness measures".

These were used to test associations between HLA genetic distance (as a continuous measure of HLA heterozygosity) and health and attractiveness measures.

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Similar(46)

In this work, we propose a ranking of touristic sites worldwide based on their attractiveness measured with geolocated data as a proxy for human mobility.

DMU q is viewed as a more attractive option than another DMU if it possesses a larger value for its contextual attractiveness measure H q ∗ ( d ).

Perhaps both explanations are valid and complementary, as the attractiveness measure adopted in this research groups the effects on developers and users together (downloads and membership numbers), and only future research can sort this out.

If a large number of schools existed within any particular level after the stratification stage, then a situation might occur in which two or more of the schools each received exactly the same attractiveness measure.

Attractiveness is a cause that these variables have in common, but most likely it is not the only one (the first principal component extracted, for example, explains 64% of the variance, and so 36% is not due to this attractiveness measure).

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