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The letters (a, b, c, d) above error bars and below error bars represent significant differences among eight conditions during exercise and recovery, respectively as a result of Duncan analysis (P < 0.05).
As the figure shows, at first, user has power shortage and user has power surplus, then the algorithm converges after eight iterations and the errors for user and user are both below error tolerance 0.01. Figure 2 Convergence of iterative algorithm for satisfying power demands.
Not only the yielded information is practically the same (below error tolerance), but also the selections differ by a single sample over κ. > -wrap-foot> as a consequence, optimal and near-optimal design exhibit indistinguishable probability of selecting the 'true model' from the data.
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For example, below is an error dialog letting me know that Adobe Flash Player has an malfuntioning script that may cause my "computer may become unresponsive".
Eighty three per cent of network estimations show below 5% error.
The logic-level model speedup over SPICE is >103 with average accuracy below 1% error.
Different letters above or below standard error bars indicate significant difference at P < 0.05.
For most of the investigated materials only 50 70 tested particles are sufficient to fall below an error of ± 5%.
As discussed below the error rate of SM-LATE-PCR detected here is consistent with the inherent error rate of symmetric PCR.
For below diabetes error, the percentage ranged from 30% in Maryland to 7% in Hawaii.
It is however 10 100 fold below the error rate/detection limit of bisulphite sequencing.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com