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These models typically focus on one species and ignore the effects of that species' interaction with others.
While cognitive modeling has begun to make good progress in accounting for human multitasking behavior, current models typically focus on externally-driven task switching in laboratory-task settings.
Traditional models typically focus on just one condition.
Cell biological models typically focus on the processes of molecules like proteins and small chemicals.
Interestingly, the current models typically focus on evolutionary change (i.e., the rate of change in host and parasite allele frequencies in response to the type of interaction).
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The changes on abiotic features of ecosystems have rarely been taken into account by population dynamics models, which typically focus on trophic and competitive interactions between species.
The latter approach is an epidemiologic formulation that identifies fetuses as the candidates for perinatal events (as opposed to the traditional obstetric and epidemiologic models that typically focus on newborns as the candidates for perinatal events).
Longevity assays in model invertebrates typically focus on adult somatic cells that are quiescent (C. elegans) or that only possess small populations of stem cells (Drosophila).
The focus will be on models of rational belief, since these are the models that philosophers typically focus on, although it is worth noting that statistical work using IP isn't restricted to this interpretation.
Models of carcinogenesis typically focus on heritable changes that alter tumour survival, proliferation, senescence and apoptosis.
While such models are typically focussed on macro-patterns, often in cellular or linearly-organised spaces, few models exist for predicting where people will cluster within complex environments.
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