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In New Zealand, the spatial distribution of loess has a significant influence on soil properties, and recent regional-scale quantitative models have attempted to model the thickness and pattern of this important soil parent material.
Computational models have attempted to explain kinetic parameters of recycling capacity of effector cells [2], [4], [5].
For example, some models have attempted to mimic cell collection behavior such as cancer invasion through the use of continuum and/or discrete approaches [18] [19] (Figure 1; Method 1), where each cell is represented by a finite element and follows a cellular automata (CA) method [14], [20] [24].
Various mouse models have attempted to provide further insight.
Several models have attempted to explain the functional coupling between replicative helicases and DNAPs.
Few models have attempted to do this (see Waibel et al. 2006; Tarapore et al. 2009).
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Although mathematical modeling is applied within each of these areas, not enough modeling has attempted to cross these boundaries.
The current model has attempted to expand on previous models by including these missing aspects.
Some models have been developed that describe the foot in more detail, however to the authors' knowledge no kinematic model has attempted to describe all 26 bones.
A recent computational model has attempted to explain these positive effects of background noise on performance in a different way [ 13].
One population PK model has attempted to provide TDM guidance by showing that an increase in dose of 1 mg/kg results in an increase in the median trough concentrations by 0.5 mg/L [106].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com