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One can notably distinguish absolute robustness, quantifying the average performance of a perturbed system, from relative robustness, quantifying performance degradation/improvement due to perturbations.
As expected, the property holds for the reference parameter values p * (i.e. sd(T p *, ϕ)=1), and consequently the robustness and absolute robustness are equal.
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In particular, the theory of chemical reaction networks is used in [ 14] as a powerful tool to demonstrate the property of absolute concentration robustness.
Two indicators that measure absolute and relative robustness are proposed.
We acknowledge that having individual tissue sections as sample material makes it hard to draw absolute conclusions regarding robustness.
Beyond traditional PCR, digital PCR for absolute quantification, increased robustness, and higher sensitivity is highly desirable.
The optimization is designed for absolute accuracy and robustness, but, as this can take time, it has been parallelized at the spin cluster and the MC simulation level to run on computer clusters using OpenMPI.
We performed various robustness exercises around the absolute and relative threshold of the number of job stayers in the window [60, 100] (and [60%, 80%]), and the results were very similar.
Statistical analysis was performed using ANOVA followed by Turkey test, with p < 0.05 considered an indicator of robustness (although not of absolute statistical significance as the number of experiments was too low).
BDS also provides two complementary robustness mechanisms: lazy processing and absolute serialization.
For networks that oscillate, we measure robustness either using the mean absolute change in period or the mean change in period distribution.
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