Sentence examples for criterion for robustness from inspiring English sources

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In this paper we have introduced a testable criterion for robustness for a given cycle of heteroclinic connections within constrained settings - this test involves finding the connection scheme and then applying Theorem 1.

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A total of 73,889 putative SNPs were also discovered, although only 23,481 met the selection criteria for robustness.

A total of 74,861 putative SNPs were called, among which 35,455 met the selection criteria for robustness.

To set a criterion for the robustness of peaks for acceptance in subsequent analyses, the values in each individual amplitude spectrum were expressed as a proportion of the maximum value between 0 4000 Hz in that amplitude spectrum, and spectra were rms-averaged across all 22 participants for each stimulus type.

We also present and discuss various criteria intended for robustness assessment.

On each set, we note that the estimated rates are within the interval [2,5 %−7,5 %] and satisfies thus Bradley's liberal criterion of robustness for the significance level α=5%% [ 40].

We observe that, irrespective of the original trait distribution and whether or not a data transformation preceded MB-MDR analysis, the estimated rates satisfy Bradley's [ 34] liberal criterion of robustness for the significance level α=0.05.

The similarity between the original watermark w and the extracted watermark (bar{w}) is evaluated by the NCC which is criteria for the robustness of the scheme and is calculated as follows: begin{aligned} hbox {NCC}=frac{sum _{j=1}^kw_jbar{w_j}}{sqrt{sum _{j=1}^kw_jsum _{j=1}}kbar{w_j}}}.

While most of the current literature regarding biological robustness has focused on elucidating the architectural and mechanistic features of a network, much less effort has been devoted to developing quantitative and qualitative criteria for quantifying robustness.

Further, from the unifying mathematical framework, we found that the phenotype robustness criterion for synthetic gene networks is that if intrinsic robustness + genetic robustness + environmental robustness ≦ network robustness, then the phenotype robustness can be maintained in spite of intrinsic parameter fluctuations, genetic variations, and environmental disturbances.

Our criterion for judging the robustness of the model was whether the multicellular morphology of NHK-HDF co-culture could still be simulated when these fibroblast parameters were varied within broad ranges.

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