Sentence examples for samples can increase from inspiring English sources

Short exposures of multiple samples can increase the precision of the timing of the onset and end of deposition, but methods such as the tape-on-paper and rainwater samples often require larger quantities of tephra to be present before a firm identification can be made.

Our results show that adding unlabeled samples can increase the accuracy of classification significantly.

This is because the histidine and protein composition of these samples can increase the number of his+ revertants and lead to false-positive results.

In particular, when not carefully analyzed, age-heterogeneous samples can increase bias in results by conflating between-person age differences with within-person change when models are misspecified (58, 59).

Compared with the current cytology-based call-recall programs, self-collected vaginal samples can increase access to cervical screening and may help to further reduce the incidence of cervical cancer by increasing the rate of participation in screening programs [ 2, 11].

When comparing the data of the paired tissue group in which 10 tissue RNA samples with high inhibitory substances were excluded, a higher stability of each gene, and a higher similarity between the two algorithms became evident (Table 4; Figure 4), indicating that the existence of qRT-PCR inhibitors in RNA samples can increase the variation of qRT-PCR assay.

Experimental results demonstrate that the increase in the fly ash replacement ratio of sample can increase the penetration depth of chloride ion.

Compared with CAT-old, the motor octane number (MON) and research octane number (RON) of gasoline produced by CAT-new sample can increase 0.1 and 1.0 unit, respectively.

While using multiple DNA extraction procedures on a single environmental sample can increase the likelihood that every organism in an environment will be sampled, doing so can also complicate quantitative comparisons of multiple samples.

This test counts the number of somatic cells in milk samples, which can increase the response to the pathogenic bacteria that cause mastitis.

While increasing sample size can increase statistical power and decrease error rates, with too many samples, valuable resources are not used efficiently.