Sentence examples for characteristics as sample from inspiring English sources

Sample 2 (Table 1) was made up of the DNA from another 100 French Caucasian unrelated trio families with the same characteristics as sample 1.

Sample 3 (Table 1) contained the DNA from 265 European Caucasian unrelated trio families with the same characteristics as sample 1, except for a shorter mean disease duration and a different ethnic origin (Caucasian families from France, Italy, Portugal, Spain, Belgium, and The Netherlands).

The outcomes of these studies are difficult to compare with findings from the present study owing to differences in sampling design, sample characteristics, as well as the tool, operational definition and the scoring method employed to measure physical activity.

Sample characteristics as well as inclusion criteria are relevant to understand the results achieved.

The sample characteristics as well as the prevalence of sleep complaints at baseline have been previously described in detail [ 1, 23, 24].

To determine the physiological characteristics as well as for sampling for gene expression analysis, cultivations were performed in well-controlled 1.5 l bioreactors with a working volume of 1.2 l.

The current paper attempts to provide some information on the study design and data collection procedures, sample's characteristics, as well as some first descriptive results.

The inclusion criteria and patient characteristics as well as methods for sample preparation and plasma biomarker analyses are described by Sakhi et al. [ 7].

Physical and chemical water characteristics, as well as aquatic invertebrate samples (from bacteria to amphipoda, the largest organisms detected beside fish) were collected at the begining and the end of the experiment.

These high-level tactical decisions drive a host of other study characteristics, such as sample sizes, recruiting strategy, and participant compensation.

AGB models developed from a small number of samples and limited tree diameter range have the potential risk to be biased, especially when applied beyond their sample characteristic as well as geographical, biophysical and forest boundaries (van Breugel et al. 2011; Manuri et al. 2014).