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This effect is most likely mediated by one or more factors not included in the modelling because of model size constraints, for example, physical disability or motor problems.
Logarithmic strains are increasingly used in constitutive modelling because of their advantageous properties.
It is well established that the sunrise and sunset periods are of particular importance to ionospheric research and modelling because of the rapid changes in the ionospheric plasma density, temperature, and dynamics.
The originality of the present approach is that it can be viewed as implicit large eddy simulation, in the sense that the numerical error is the source of artificial dissipation, but also as explicit subgrid-scale modelling, because of the equivalence with spectral viscosity prescribed on a physical basis.
While this system is too complex for detailed modelling because of coupled reaction, heat and mass transfer, unknown surface kinetics, clues to the underlying cause of the waves have been acquired through experiments involving periodic electrical heating of all or part of the wire, as well as experiments examining the birth or death of the thermal wave response as system parameters are varied.
Headcount data were used for the modelling because of a lack of data on mobility expressed as whole time equivalents.
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We chose Maximum Entropy ("Maxent") [ 66], a statistical mechanics approach, as our modelling algorithm because of its documented success at modelling species with limited locality data, a common problem when working with endemic species [ 65, 67- 69].
Mice are most commonly used for modelling disease because of the relative ease of precisely manipulating the genome by gene targeted homologous recombination [ 14].
I call showroom work the "office job" of modelling because it is a mind-numbing, steady work of changing into outfits for eight hours a day, five days a week.
In the present study, we apply multilevel modelling because we look into the effect of higher-level (i.e. country- or system-level) variables on outcomes at the household level.
This approach is particularly useful for ecological modelling because predictable patterns may emerge at a variety of scales, necessitating a multiplicity of model forms.
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