Sentence examples for this methodology shows from inspiring English sources

This methodology shows promise for integrating independent databases for evaluating bird habitat relationships across broad spatial extents, and the hierarchical nature of these models provides a potentially consistent means of evaluating management options at varying spatial scales.

A numerical example addressed by this methodology shows that the loaded contact pattern coincides well with the ideal zone, the loaded transmission error is reduced by 30.3%, and the maximum contact stress and root bending stress also decrease.

This methodology shows prospective potentials for designing and fabricating nanostructured materials with the combination of the structures of the natural cellulosic substances and the specific functionalities of the guest species towards superhydrophobic surfaces, chemosensors, photocatalysts, antibacterial matters and electrode materials.

This methodology shows the use of the tool Neuro-Fuzzy Anfis Matlab for adjusting the membership functions and establishment of rules and has the advantage of low computational cost, and express nonlinear dynamics of the machine in case of non-ideal power and variation parametric, mainly due to change in temperature of the windings.

This methodology shows excellent performance in predicting new interactions.

This methodology shows us that different groups of people may differ in their treatment but it does not tell us whether this difference is fair or what other confounders may be causing this difference.

It can be noticed that the values of the correlation coefficient obtained with this methodology showed a good correlation for 1H NMR calculations (See Table 7).

This methodology showed satisfactory precision in the assessment of blood pressure changes compared to intra-arterial measurement [ 26, 27].

So far, the prediction of disease risk in humans based on validated SNPs based on this methodology showed little predictive power [ 2], although these SNPs indicate highly significant association with the phenotypic trait.

This methodology showed its usefulness for investigating the distributions of various tumour parameters such as permeability in dynamic contrast-enhanced MRI (DCE-MRI) (Hayes et al, 2002; Padhani, 2002; Peng et al, 2012), vessel size index and blood volumes (VSI, CBV) (Just, 2011; Burrell et al, 2012) and apparent diffusion coefficient (ADC) in diffusion MRI (Downey et al, 2013).

One of the few studies to employ this methodology showed that a reduction in LVESV ≥9.5% predicted all-cause mortality with a sensitivity of 70% and a specificity of 70%, and cardiovascular mortality with a sensitivity of 87% and a specificity of 69%.