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Predominantly continuous models rely primarily on differential equations to describe processes such as diffusion of molecules, changes in tumor cell density and invasion of tumor cells into the surrounding tissue [4] [9].
The models rely primarily on an understanding of product use, measurements of OP pesticides in various media, estimates of human contact, and pharmacokinetic assumptions based on animal and human data.
Most of these models rely primarily on presence/absence or presence only data for species distributions, and temperature and precipitation interpolations from existing weather station data adjusted using digital elevation models for environmental conditions, but levels of sophistication are increasing rapidly as the field matures (Guisan et al. 2006).
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Our understanding of these models relies primarily on NMR, computational studies and kinetic measurements.
As the modeling framework relies primarily on linear algebra and linear programming, general purpose mathematical software platforms, for example matlab (http://www.mathworks.com/) and mathematica (http://www.wolfram.com/), or optimization modeling packages, for example gams (http://www.gams.com/), are well suited.
This model relies primarily on a behavioral "rescue" phenotype (ability to survive without daily L-DOPA injections).
Improvements to model accuracy rely primarily on the refinement of parameter sensitivities and on plausible future carbon emissions trajectories.
Existing quantitative models of bioirrigation rely primarily on chemical, rather than ecological, information and the depth-dependence of bioirrigation intensity is either imposed or constrained through a data fitting procedure.
For the purposes of this study, home visiting programs are classified as utilizing a paraprofessional model (those that offer training and compensation for the care workers who perform home visits) or a volunteer-driven model (those that rely primarily on lay volunteers).
The models explored thus far rely primarily upon internally generated innovation to create growth.
Although in vivo suppression of p53 and/or its upstream regulator ARF is enough to prevent senescence in some models, other cell types rely primarily on p16 for its induction.
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