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Both the models predict the results obtained using the 25 ppm polyacrylamide solution extremely well.
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Both of the models predict that the new duplicates will share the functions of the ancestral genes.
But maybe it will happen faster than the models predict.
Both these models predict that the genetic content of inverted and standard arrangements should differ, and that differences may also develop within arrangements at different sites.
In both cases, the model predicts the resulting residual strength distribution very accurately.
This is simply what the models predicted would happen.
What does the model predict?
The results indicate that both turbulence models predict the flow characteristics around the cylinders with reasonable precision; however, the predictions from SAS were more accurate compared to the SST.
For 667 of the 900 overlapping orthologs both models predict the genes to be non-essential for in silico growth in a glucose minimal medium under aerobic conditions.
Both models predict the distribution of the coating material on the bed particles (urea) and the product quality (expressed in terms of seven day urea dissolution as measured by the TVA test).
Using the predicted steady-state step velocity and the measured step densities, both models predict well the growth rates measured using QCM-D and AFM.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com