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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.
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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.
In operation process, sensitivity analysis is studied for evaluating of effective parameters (inputs) on the performance of chemical flooding.
To optimize the overall performance of the process, sensitivity analyses are preformed over the most important design and operational parameters.
A Gaussian Process sensitivity analysis [18] is performed to select the most relevant inputs to predict the optimal battery size with GPExp.
The model process sensitivity factor and the error between the reference input and process output are used to adapt the controller parameters.
In this process, sensitivity analysis for each ageing element was done to understand the effects of each ageing element on the thermal-hydraulic conditions and peak cladding temperature.
Particular emphasis will be devoted to nMOS and pMOS scaling, thin-oxide reliability, ESD diodes, metal lines and Latch-up process sensitivity.
In addition, the skew check procedure requires the declaration of a trigger signal and its inclusion in the process sensitivity list.
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