Sentence examples for heterogeneous samples in from inspiring English sources

Thanks to the simultaneous acquisition of millions of pixels, over large sample areas with sub-micron resolution, this technique is very well suited for the study of complex, heterogeneous samples, in which the element of interest is concentrated, which is frequently the case in archaeological materials, and in particular in paintings.

The red-shift of the peak wavelength and the decrease of signal intensity arise from the differential absorption flattening effect arising from heterogeneous samples in which solid state material is suspended in solution [34].

In the validation, we adopted a slightly low T value of 40% because of a small in GEO cohort (n=17) and heterogeneous samples in TNBC [ 3].

Among the studies exploring the QoL of IEMRD patients, certain limitations should be mentioned, related to the evaluation of heterogeneous samples in terms of the nature of diseases, the assessment methods, and the treatment modalities.

Automated data collection and downstream image processing has greatly improved the throughput of single-particle EM analysis, facilitating the rapid analysis of even highly heterogeneous samples in a short period of time (Suloway et al., 2005; Lander et al., 2009).

In line with the recommendation for heterogeneous samples in factor analysis [ 20], participants represented diverse types of health care providers with varying ages and at varying stages of their careers, including trainees.

The attrition in the sample highlights the complexity of having a heterogeneous sample in longitudinal research.

We were successful in recruiting a heterogeneous sample in terms of age, health status, and location across the UK.

A purposive sampling strategy [ 26] was used to ensure varied and rich information through a heterogeneous sample in regards to age, education and length and variety of working experience (ibid).

When there exist several independent and heterogeneous samples, different in case selection, geographical location, race, genotyping, etc., or even sample size, applying a multiple replication group strategy may help eliminate false positive signals and select results consistent across groups.

The study of such heterogeneous samples will result in reduced amplitudes of oscillations for genes that cycle asynchronously in different brain regions (Zhang et al., 2014b).