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We use data from the RSL to test whether features of a sub-tropical, patterned peatland conform to positive and scale-dependent feedback patterning theories developed in boreal peatlands and use dynamic simulation to explain our results.
We tested the feasibility of these mechanisms by reproducing them in idealized geometries where only one feature was present in each simulation to explain the SW behaviour as seen in our 3D simulations with the anatomically realistic atrial model.
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We designed a spatially explicit individual-based computer simulation model to explain the spatial patterns of population development and to predict future population spread.
The experimental test section is modelled with CFD simulations to explain the charge and discharge results.
In this section, we give an example and numerical simulations to explain the results obtained in the previous sections.
Therefore, this problem would need a combination of theoretical explanations, computer-aided spatial measurements and simulations to explain the extent of such critical threats to sustainability.
Also within Criminology, the use of simulations to explain and predict various aspects of the complex dynamics of crime is still in its infancy.
In this work we use computer simulations to explain the variety of crystal orientations observed at interfaces between MgO and Mg when Mg single crystals are oxidized.
The peak wavelengths of the LSPR spectra after 1 6 min of wet etching are, respectively, 543.4, 531.6, 537.5, 540.1, 541.4, and 588.2 nm, as plotted in the insert of Fig. 7b, and the LSPR peak disappeared after 8 min. Because it is difficult to inspect the gold nanostructures under SEM or AFM, we use some profile simulations to explain the trend of the LSPR shift.
We investigated the impact of selective participant drop-out using a prospective study and conducted a series of simulations to explain the empirical findings.
We conducted simulations to explain why the effects of selective participant drop-out on predictor criterion correlation (and regression) were relatively small in our empirical study.
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