Sentence examples for sample can explain from inspiring English sources

A previously developed model, in which we calculated the deposition rate in dependence of trajectory of sample, can explain observed differences in stoichiometry and growth of Cr2N phase.

However, a new study, which will be conducted with a larger sample can explain how technology demands of students change according to thinking types and department differences.

Our final models from sampling can explain well the true S-wave velocity profiles and the phase velocities.

This feature of the newly developed diffusive sampler can explain the lower sensitivity to NO2 if compared to the Analyst, since in the same lapse of time the latter can collect a higher amount of analyte (nitrite), on the other hand the selectivity of multipollutant sampling is increased as already explained.

Previous studies have reported increased heart-related comorbidity in cancer survivors, but differences in sampling can explain the divergent findings [ 13, 16, 17, 33].

We suggest that differences concerning mode of exercise, in particular with respect to its duration and intensity, together with the timing of blood sampling, can explain at least some of the discrepancies mentioned above.

Thus the small sample sizes can explain the lack of statistical significance of the difference in MID between the worse and better groups, but not the overall size of the observed mean difference, which for some studies was more than twice as great in one group compared to the other.

As such, it is worth noting that Holloway and Ansari [ 32] tested 87 participants (more than twice the number of participants tested here) without finding any correlation between non-symbolic and symbolic numerical abilities; in this sense, it is unlikely that sample size alone can explain the presence/absence of correlations here reported.

Different laboratory methods and our inclusion of a population-based sample, with no exclusions, can explain any discrepancies.

In this approach (which we do not rehearse in detail as those details have recently been published by us, Jayawardhana et al. 2008), we have knowledge of the variables of interest and sample candidate models that can explain those variables using various estimates of their parameters from a distribution.

A low number of bacteria within the uterine lumen of some of the mares in the present study may however have been too low to be obtained on the uterine swab sample and biopsy, and can explain why some mares were culture negative immediately after inoculation, and became culture positive late in the study period (72 h).