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This study highlights the process sensitivity to the changes of the main effective displacement process parameters.
Changes in process sensitivity with pH makes difficult to design conventional controllers.
Furthermore, to investigate the main factors affecting the process, sensitivity analysis is adopted.
To optimize the overall performance of the process, sensitivity analyses are preformed over the most important design and operational parameters.
In operation process, sensitivity analysis is studied for evaluating of effective parameters (inputs) on the performance of chemical flooding.
A Gaussian Process sensitivity analysis [18] is performed to select the most relevant inputs to predict the optimal battery size with GPExp.
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Also presented are a series of case studies using the validated model to investigate process sensitivities as a function of the operating parameters.
The method provides an analysis of the process sensitivities to changes in the output demands as well as to modifications in the accuracy of control.
For lead identification and optimization processes, sensitivity, robustness, ease of automation and low cost are critical in a HTS setting (384-well plate of higher), as lead molecules are typically evaluated downstream in complementary cellular and functional assays looking at disease-relevant phenotypes.
In the process, detector sensitivity, attenuation, scatter, randoms, and Poisson noise were added.
Numerical examples are given to illustrate the solution process, and sensitivity analyses are performed for various inventory key parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com