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Based on the ESOM models obtained, a global PID controller is designed and its robustness is examined.
Taking advantage of the models obtained, a study of seasickness prediction has been done, and some interesting results have been obtained.
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We tested three models, obtaining a model with good fit to the data.
However, due to complicated nonlinear programming models, obtaining a global optimal solution is difficult.
These 2D seismo-thermo-mechanical (STM) models obtain a Gutenberg Richter frequency magnitude distribution due to spontaneous events occurring throughout the orogen.
Based on the model obtained a feedforward as well as a feedback controller were designed.
From the model obtained, a milder reaction condition with a theoretical 98.0% of FAMEs content was created and tested to evaluate its accuracy.
Confirmatory factor analyses showed that the one-factor model obtained a good fit for the GPQ-18 and acceptable for the GPQ-9.
The corrected model obtained a statistical significant result explaining 13.3% of the variance but with moderate effect.
The FOM PCH based regression model obtained a coefficient of determination higher than the other Markov-chain based PCH models.
Using the data from the ATAC trial, our model obtained a 9-year EFS of 83.2% for those receiving an AI (anastrozole) and 78.4% for those receiving tamoxifen.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com