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The effects of reactor parameters including temperature and flow properties may be integrated into this model to predict the effects of various operating parameters and to optimise the design and behaviour of our reactor model.
We developed a probabilistic model to predict the effects of water use reductions on pollutant emissions from Abu Dhabi's major independent water and power plants, which use a combination of multi-stage flash distillation and multi-effect distillation to produce fresh water from seawater drawn from the Arabian Gulf.
By using the parameters optimized from the other data set (cf. Figure 2), these results illustrate the ability of the model to predict the effects of stretch magnitude on SF alignment.
Finally, we use the model to predict the effects of changes in the topology of the underlying protein-interaction network.
Here we develop an eco-genetic model to predict the effects of marine reserves on fisheries-induced evolution under migration.
Because our analysis highlights how gefitinib and cetuximab antagonize EGFR phosphorylation through different mechanisms, we used the model to predict the effects of combining cetuximab and gefitinib.
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Researchers at the National Center for Atmospheric Research used a computer model to predict the effect of a future "grand solar minimum" on Earth's climate from 2020 to 2070.
The researchers used 19 different climate models to predict the effects of a 2C increase in global average temperatures, and found that by 2030 around 70% of the reefs would suffer what they politely call "long-term degradation".
Last January, Dr. Reuben Granich and colleagues at the World Health Organization published a provocative study using mathematical models to predict the effects of universal testing and immediate treatment on a severe H.I.V. epidemic among heterosexuals.
Regression models were developed to predict the effects of variables on the studied indices.
A causal model can be used to predict the effects of such an intervention.
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