Sentence examples for sample we refer from inspiring English sources

To achieve this objective, we recruited 21 euthymic BD patients (7 males, 14 females; age: 36.12 ± 16.55 years) and 21 demographically matched HCs (5 males, 16 females; age: 36.08 ± 12.66 years) at the University of North Carolina at Chapel Hill a sample we refer to as the discovery cohort.

For depth information for a particular sample, we refer to the original report, which may be achieved by contacting the respective municipality (see supplementary material for contact information).

For the exact depth for each sample, we refer to the original reports or the corresponding author The mean and standard deviations of selected organic compounds in soil at 34 investigated boatyards in Swedish coastal municipalities.

For more detailed information on the latter sample we refer to Leroy et al. 2012 [ 14].> -wrap-foot> *2008 data derived from Leroy et al., 2012 [ 14] N = no information available Both samples were similar in size and age distribution, with a mean age of 33 years in both groups.

For the exact depth for each sample, we refer to the original reports or the corresponding author Values higher than the Swedish guideline values for sensitive land use (SL) are marked in italics and higher than less sensitive land use (LSL) are marked in bold.

For a thorough presentation of nested sampling, we refer the reader to the work of Skilling (2006) and Sivia and Skilling (2006).

At the end of the 48-hr monitoring period, all women gave a spot urine sample, which we refer to as 48-hr monitoring.

It is worth noting that the percentile method, which is employed here for the estimation of the lower bound BMDL, is one of the various existing methods for estimating the CI boundaries from a given bootstrap sample, and we refer the interested readers to Efron et al. for more information.

Preliminary examination of ash fall deposits revealed the existence of two texturally distinguishable types of ash-sized pyroclasts within both Fuego and MSH samples, which we refer to as simple and complex ash particles (Proussevitch et al. 2011; Genareau et al. 2012).

We applied our algorithm to a breast carcinoma dataset including gene and miRNA expression from normal and breast tumour samples (which we refer to as Maire dataset [ 22, 23]) and we show that it is able to identify miRNAs with statistically significant enrichment score.

In conjunction with this discussion: the "elderly" PUMS, 3% sample ("E" Sample; we'll refer to its geography as EPUMA), has the same geography as the 5% sample.