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Energy scenarios, emission inventories, and global change and regional air quality modeling systems have been linked to estimate the short-term incremental changes in public health and the environment that could result from various GHG mitigation policies [ 9, 10].
Traditional geographic information systems and modeling systems have specific limitations.
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While high-end 3D solid-modeling systems have been on engineers' workstation at large aerospace, consumer products, and automobile companies for years, many smaller companies are now making the switch from workstations to PC.
Both model systems have advantages and disadvantages [66].
Unfortunately, suitable genetic model systems have been hard to find.
Expression analyses of Dnmt2 in various model systems have suggested that Dnmt2 might be developmentally and tissue-specifically regulated.
A number of in vivo model systems have been described in which the role of a failing HSR in the etiology of neurological diseases can be studied.
Since then, various invertebrate model systems have been used to dissect highly-conserved immune responses without the complications of adaptive immunity.
Large-scale screens and testing in model systems have been performed in Brucella to identify virulence factors associated with the pathogenesis and virulence.
These model systems have substantially increased our knowledge of meiotic processes [39], but they mostly involved cytogenetic studies and mutant strains [40], [41].
A number of model systems have provided some insights.
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