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Because our model was derived from data sampled across many fires over a 20-year period, it represents average probability of severe fire occurrence and is unlikely to predict burn severity for individual fire events.
Because our model was trained on data derived from a single cell type, a potential concern was its generalizability to other cell types.
Because our model was based on a mechanistic understanding of drug delivery, it was possible to scale the model to reflect human physiology.
We decided instead to introduce those policy decisions as model parameters, because our model was design to be used by the planner to simulate the effect of potential changes in their choices.
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Because our model is working, so people are happy with this model.
We are well positioned should economics change because our model is so targeted, and targeted advertising does well in most scenarios we feel.
However, our intention is not to explain any specific tremor events because our model is too simplistic to be applied to a complicated volcanic setting.
"We could have a very low return on sales and still have a huge return on invested capital because our model is so scalable".
Because our model is a mesoscopic model and aimed at rapid assessment of the adverse impact on a regional transport network, each city is treated as a node.
Parameter values for the low density traffic must be treated very carefully because our model is designed for the congested traffic.
It should be noted that the proposed model does not use enthalpy data sets, which are considered to contain large errors, because our model is based on the differential thermodynamic approach (Gibbs' method) (Spear 1993).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com