Sentence examples for utilized to differentiate from inspiring English sources

Paired t-test was utilized to differentiate the PSD results of the different aggregates.

This leukocyte index was subsequently utilized to differentiate transcriptional changes due to leukocyte infiltration from other alterations in myositis muscle.

We investigated the individual call characteristics within one food call type, the 'haa', determining distinct parameters that could be utilized to differentiate between conspecifics.

For sensing, the unwanted nanoparticle adsorbed on the micro ring resonator is mostly dielectric nanoparticles, which may be mixed with true signal, the unique blue shift by Au nanoparticle could be utilized to differentiate from the dielectric nanoparticles, therefore, it can be utilized to increase the signal to noise ratio.

Roundness metric and eccentricity are utilized to differentiate Cryptosporidium and Giardia (oo cysts in 40 images.

Color composites of principal components (PCs) of ASTER and Sentinel-2A data were utilized to differentiate rock units within the ophiolite complex.

Tracheal organ culture has been utilized to maintain organized, differentiated respiratory epithelium in vitro.

Sequences of the first and second internal transcribed spacers (ITS-1 and ITS-2) of nuclear ribosomal DNA (rDNA) [ 23- 25] and of cAMP-dependent protein kinase [ 26] have been utilized to identify and differentiate hookworm species.

This chapter describes the business strategy of strategic differentiation and explores how businesses can utilize convergence to differentiate themselves in new ways in order to drive new revenue opportunities, gain market share, and service customers in new ways.

To determine which features can be utilized to construct models that differentiate between ubiquitylation sites and non-ubiquitylation sites, various features, including the sequence of amino acids, amino acid composition, accessible surface area, and physicochemical properties are evaluated by k-fold cross-validation.

These models can then be utilized to identify drug targets that differentiate one cancer type from the other, and most importantly, distinguish them from their normal counterparts thus achieving treatment response selectivity.