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As well as affecting student engagement with school, the lack of role models could also deepen the staff recruitment and retention crisis that plagues teaching.
Dr. Prigogine's mathematical models could also be applied to problems as disparate as the growth of cities and the dynamics of traffic jams, laying down the foundation for a field now known as complexity.
Although derived from the properties of the adsorbates, the LSER modeling parameters were correlated with the surface chemistry of the studied activated carbons, suggesting that the LSER models could also reflect the natures of the adsorbents.
The AU model isn't perfect, say the researchers: By emphasizing average well-being, such models could also inadvertently increase inequality by allowing for a scenario in which a small number of very well-off people counterbalance a large number of people who are poor and struggling.
Probabilistic models could also be incorporated to this end.
"Ultra Thin 20 & 24 inch models" could also refer to available iMacs.
Future models could also investigate specific STEM and Non-STEM worker characteristics to include age, gender, salary, or education level.
The models could also include climate change effects to study the concrete behavior under new environmental constraints.
Such models could also be used for exploring the impacts of pests and diseases more usefully than current models by accurately simulating seasonal growth patterns.
In addition, the inclusion of NUV and IR models could also greatly contribute in more accurate determinations of these parameters in the region.
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The model could also fail.
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