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The proposed modeling could also be applied to most QCR-based gas sensor, in which physical adsorption is mainly involved.
Such modeling could also help show how swapping carbon-neutral biomass for energy-intensive components in products like cement would reduce carbon emissions even more.
Monitoring and modeling could also help to avoid a repetition of the errors that produced the unsustainable growth characteristic of large Latin American cities.
However, the modeling could also apply for the low-temperature growth.
Providing insights to the impacts of varying decisions, participatory modeling could also be a means to challenge stable opinions that, as our research has shown, prevent stakeholders from considering alternative options.
Modeling could also assess various agents that might reduce the rate of apoptosis to preserve brain tissue or alternatively enhance apoptosis to prevent the greater damage associated with necrosis.
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The model could also fail.
The model could also predict XPS fire hazard.
And a factory-installed model could also establish the appropriate inflation for a new car.
The model could also be used to anticipate further changes to the climate and more.
Economic uncertainty, not captured by the model, could also impact on the results in the short-term.
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