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Statistical models could then predict the total population.
These models could then be integrated into a 3D numerical ham model, coupling salt and water transfers to proteolysis.
These generated models could then be used in virtual simulations of machinery and equipment used by industries to process the hazelnut, making possible studies of modifications to improve the production process performance.
These two models could then be combined and used to simulate data with spatial and temporal distribution of fruit matching those observed on Barro Colorado Island.
Resulting models could then be validated in an independent set of samples.
These models could then be compared with those for recognition memory.
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The wooden model could then be used again to make as many copies as were required, which meant that economical production was possible.
Drug combinations predicted using the most similar model could then be applied in the clinic.
An axisymmetric model could then be used, without the criticisms that can be made of a 2D approach.
The organizational model could then, within the design of the system, be mapped to the software behavior through the use of logical agents.
The model could then be used to predict growth behaviour with full medium exchange, but showed some reduced predictive ability after partial medium exchange.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com