Sentence examples for success of sample from inspiring English sources

Exact(2)

The dreary economy is also propelling the success of sample sales.

The success of sample focusing during injection and gradient elution depends not only on an analyte's absolute retention, but also on how rapidly the analyte's retention changes during the mobile phase gradient.

Similar(58)

Particular efforts were paid to establish good relationship with the owners because the cooperation of them was critical for the success of sampling.

We calculated a Spearman's rank correlation between PCR success of the samples and sample ages and/or latitude of the storage place with the 'stats' package in R 2.14.0 [ 79].

The CBD as written here returns the probability that there are at most number x successes in n trials where each trial has a probability of success p. (2) Where x is equal to the total number of successes in a sample, n is equal to the sample size, p is equal to the probability of success of each sample, and Annot is a specific annotation.

Despite the widespread use and general success of these sample matching strategies, the risk of residual confounding remains.

Robustness is crucial to the success of deciphering sample coordinates from multidimensional pools since data quality may vary greatly and reads retained through the Data Preprocessing module can still contain variable noise.

In both cases the success of the sampling plan depends upon how accurately a much larger system is represented in the microcosm of the laboratory sample.

While she declined to provide figures, Ms. Wolf said that Kiwi was on pace to double its revenue this year compared with last, attributing the growth to the success of the sampling program.

The success of FDM samples is attributed in part to favorable printing parameters and the toughness of PCU which results in lower flaw sensitivity.

Ultimately, the success of different sampling strategies designed for use in continental-scale environmental analysis will largely depend on the ability to anticipate the spatial variability of the variable being measured.

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