Sentence examples for methodology across a from inspiring English sources
Using rigorous methodology across a number of disciplines, the analysis is accessible to anyone interested in the social impact of polygyny.
This chapter discusses the application of the computational fluid dynamics (CFD) methodology across a wide range of engineering disciplines and provides some useful guidelines in handling challenging flow problems in practice.
A range of useful CFD examples are selected to purposefully demonstrate the feasible application of the CFD methodology across a wide range of engineering disciplines and to provide some practical guidelines in handling some of these challenging flow problems in practice.
One study has successfully attempted to standardise methodology across a number of collaborating sites with different analysers [ 9].
With the potent antiproliferative activities of these new ALK inhibitors in hand, we assessed the selectivity of this scaffold using the KINOME scan methodology across a panel of 402 kinases (Ambit Biosciences, San Diego, CA).
While this model cannot precisely replicate the epidemiological situation in any given location, it applies a standardized methodology across a wide range of settings, thereby illustrating important interactions between epidemiological parameters and projected impact.
Carbon stock estimation from field data was made using a consistent methodology across all plots; an accounting of allometric models is provided in Additional file 1: Table S2.
Since this analysis was conducted using a consistent methodology across all five regions, we can use the results to determine the highest priority regions for action.
In addition, census tracts are the only construct approximating neighborhoods defined with a consistent methodology across all metropolitan areas of the United States.
Another strength was our use of a uniform and rigorous data collection methodology across all five sites.
Firstly, we could not investigate measurement invariance of the proposed scoring methodology across all patient-level factors (such as race and ethnicity) due to a lack of heterogeneity in the data.
