Sentence examples for measures were affected by from inspiring English sources

Bob Troia, a quantified selfer and "biohacker," recently completed an experiment in which he measured his fasting glucose levels for seven months, and tested whether the measures were affected by taking the chemical oxaloacetate, which has been suggested to lower glucose levels.

Both outcome measures were affected by a number of socio-demographic, pre-, intrand and post-operative factors.

Total distance travelled, total flight duration, average speed and duration of the longest flying bout did not follow the assumption of a normal distribution; thus we used a Wilcoxon rank sum test to assess how these measures were affected by the two parental care treatments.

However, both measures were affected by outbreeding level (F 3, 303 = 22.27, P < 0.0001 and F 3, 303 = 11.21, P < 0.0001 for nymph and egg number, respectively), and this seems to be a result of lowered egg and nymph production in females mated to L. simulans males.

However, the test-retest reliability of isokinetic strength measures is affected by the quantifying method, testing velocity, and strength measures.

But, as she notes herself, 'these measures are affected by unobserved heterogeneity, and cannot be straightforwardly compared' (Mood, 2010, p. 78).

The performance measures are affected by the lack of passing opportunities, which is quantified through adjustment factors depending on the percentage of no passing zones.

Finally, some numerical experiments are designed and performed to demonstrate the effects of system performance measures are affected by the change of each system parameter.

In particular the links with values higher than 1 (over-congested) are expected to be particularly critical sections; anyway a better analysis of them shows how their measures are affected by the above described limitations of the adopted databases.

All of these measures are affected by the type and quality of the malted barley and cereal adjuncts and as a consequence, engineers have sought to design equipment that can accommodate the natural variation in incoming materials.

The results on using internal evaluation measures for clustering static data with simple errors in [28] prove that the performance of the internal measures is affected by various aspects of input data, i.e., noise, density of clusters, skewness, and subclusters.