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The SFA model can investigate the level of region-specific efficiency.
This model is validated by the experiments conducted in the fuel cell center of Yuan Ze University, showing that the present model can investigate the characteristics of flow channel for the PEMFC and assist in the optima designs of flow channels.
One possible extension of our model can investigate the effect of multi-tiered social organizations.
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With the complete GRN model we can investigate the various mutants that the model can predict.
Using this reduced model, we can investigate large scale nature of the coarsening process, and behaviour of the coarsening process, and reconsider some of the issues raised by Kandel and Weeks in their original analysis.
With an inbred mouse model, we can investigate many unknown aspects of MPXV pathogenesis, including: virulence factors, disease progression in rodent hosts, and viral shedding from infected animals; an index of the transmission potential to humans and other animals.
With this extension of the mathematical model, we can investigate an additional aspect of treatment: the propensity of a drug to delay progression due to resistance, i.e. the onset of a resistance-driven rebound of the cancer cell population.
Subsequently, through inclusion of the nucleus in our model, we can investigate the effect and intensity of forces that act on the nucleus from the external environment through the cytoskeleton.
By applying engineering principles and computer modeling, we can investigate how the human body functions, whether it is on computational mechanism of the brain, object recognition, or motor control.
With these new human-cell-based models, scientists can investigate the precise cell types that are affected in these disorders and elucidate the cellular and molecular defects that contribute to disease initiation and progression.
However, trend is not adjusted for in the SHMI model so we can investigate any differences between subgroups in terms of their time trend.
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