Sentence examples for modelling effects of from inspiring English sources

However, as we have no logical or theoretical basis for considering any variable to be prior in terms of a hypothetical causal structure of the data (Cohen et al. 2013), and assigning priority to forest age would marginalise the year effect, and vice versa (Brown et al. 2011; Chen et al. 2016), we reported the results from simultaneously modelling effects of forest age and year.

Modelling was naturally restricted to processes showing global effects on DNA composition and was unsuited for modelling effects of genome modifications with specific functional roles.

For example, some traditional statistical measures that describe the modelling effects of predictive variables on the studied phenotypes [ 1], or informatics-based measures that assess the discriminative ability of putative gene features in differentiating phenotypic attributes of samples [ 2- 4].

Although differences in individuals' self-construal were found between both countries, they did not affect the magnitude of modelling effects on eating.

This pattern underlines the importance of flexibly modelling effects across the distribution.

Through careful component selection and modelling, the effect of wheel imbalances can be minimized and in this way TUGSat-1 (BRITE-Austria) has achieved an in-orbit demonstration of 50 μrad using only body pointing and without beam steering [76, 77].

Finally, using the 3D realistic numerical modelling method, the effects of the ITZ strength on the fracture process of the concrete under uniaxial compression and tension are studied and further clarified.

Kirschbaum, M. U. F. A modelling study of the effects of changes in atmospheric CO2 concentration, temperature and atmospheric nitrogen input on soil organic carbon storage.

We also discuss how modelling may include the effects of extrinsic carbonic-buffering.

The effects of modelling actions range from unintended inferences to outright defects such as incoherency or even inconsistency.

This paper presents results from modelling work investigating the effects of social networks on the adoption of energy technologies in the domestic sector.