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[1], [4], [27] [30] Understanding this heterogeneity is important, because modeling studies demonstrate that the models incorporating variability in transmission differ substantially from standard outbreak models, and, in these models, individually targeted interventions are much more effective than untargeted interventions.
Four application examples demonstrate that the models are easy-to-use design tools for structural engineers.
They demonstrate that the models produce similar results overall, although there are some differences in the predicted flow field and greater differences in turbulent kinetic energy and bed shear stress.
Tables 4, 5, and 6 demonstrate that the models successfully extracted key lignin and lignin model compound vibrational modes.
The scatterplots reflect the strength of each of the developed models and demonstrate that the models fit the observations well with no significant outliers.
Although model parameter values can be fine-tuned so that model behavior matches clinical data, it may not be possible to demonstrate that the models are physiologically realistic.
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The modeling and experimental results demonstrate that the model is accurate.
"We chose to start internationally to demonstrate that the model would work even in very poor regions where there is much less infrastructure than the U.S.," explained Janah.
The results demonstrate that the model is effective and feasible.
The transient simulations demonstrate that the model can predict the dynamic behaviours of CANDU-SCWR.
In addition, we also demonstrate that the model can fit to the experimental data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com