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A technology development methodology was used to develop a registry of people with dementia and their carers.
Multivariable linear regression analysis was used to develop a prediction model equation and to validate the developed model.
CIM was used to develop a lycopene-rich tomato ketchup.
The NMR spectrum was used to develop a "finger-print" barcode.
This information was used to develop a checklist for broader dissemination.
The newly measured experimental data was used to develop a new detailed chemical kinetic model (Mech15.34).
Aspen was used to develop a model to study the performance of the plant.
The best model of each group was used to develop a two-dimensional habitat model.
This information was used to develop a storyline for a "Go Green" scenario.
Finally, the linear regression method was used to develop a load sharing ratio model.
Therefore, surface composite design was used to develop a more reliable model.
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