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Dr Meterissian presented the results of a study showing how two genes, called bcl-2 and p53, could be used to predict the responses to different treatments of patients with breast cancer.
The valid FE model was used to predict the responses of the expanding structure.
Second-order models were obtained to predict the responses analysed as a function of these variables.
A second-order regression model was used to predict the responses.
Polynomial equations fitted to the data were used to predict the responses in the optimal region.
The result indicates that the developed models can predict the responses satisfactorily.
Oysters need to be specifically explored to properly understand, manage, and predict the responses of their populations (Rybovich, 2014).
The desirability function was applied to determine the best process parameters and predict the responses, which were confirmed experimentally.
A polynomial equation fitted to the data was used to predict the responses in the optimal region.
The results indicate that the proposed models predict the responses adequately within the limits of hardening parameters being used.
The results indicate that the proposed models predict the responses adequately within the limits of welding parameters being used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com