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In this approach, a nonlinear optimization problem is defined in order to maximize both sensitivity and robustness.
To attribute the effect of input parameter and the model selection on the results, both sensitivity and robustness analyses are listed as criteria in the ESS transparency checklist.
The design variables are spring constants and the operating frequency, the objective function is obtained regarding both sensitivity and robustness with weighting factors, and both equality and inequality constraint are defined based on the problem.
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In the latter stage, (4) we simulate the sensitivity of target features to perturbation of a single parameter (Equation 8), (5) calculate the robustness to perturbation of multiple parameters (Equation 13), and (6) identify the critical reactions responsible for determining target features by combining both the sensitivity and robustness analyses.
Two genes, confirmed by quantitative RT-PCR (qPCR), fulfilled both the criteria of high sensitivity and robustness; the induction of the genes encoding zona pellucida protein 3 and a nucleoside diphosphate kinase (nm23).
In the current study we have examined how feed-forward and feed-back loops are used to control the response to both endogenous chemicals and xenobiotics, delivering the required sensitivity and robustness within the network.
Testing of the method on both real cases (singleton affected) and simulated data demonstrated its superb sensitivity and robustness under genetic heterogeneity.
The most prominent examples are sensitivity and robustness analyses.
The method shows good precision, linearity, sensitivity and robustness.
The method sensitivity and robustness were confirmed with spiked samples.
This greatly increases the sensor lifetime, sensitivity and robustness.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com