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The results presented in this article indicate that sales of over-the-counter flu remedies were well correlated with physician diagnoses of acute respiratory conditions throughout the National Capital Area (and slightly beyond) in the 2001 2002 winter cold season and can reproduce that data with rather small error.
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It is shown that deviations of real from assumed mixing behaviour in both phases as well as rather small errors in the concentration of the liquid phase may result in deviations up to a factor of 5 10.
All of these rather small errors in alignment and stability will typically combine to reduce the potential effectiveness of any toric lens; the more these errors are brought under control, the lower the potential effect.
However, positioning errors overshadow the rather small instrumental and timing errors as already mentioned earlier.
The percentage errors are found to be rather small, where the mean value error is less than 0.015% and the standard deviation error is 4%. Figure 4b presents comparisons of natural gas system node pressure, where the errors are again acceptable.
When the modeling errors are available, the indirect backstepping control is proposed, which can guarantee the functional approximation error will converge to a rather small neighborhood of the minimax functional approximation error.
Presently, it cannot be ruled out completely that this effect is real (rather than some unidentified systematic small error in the data such as contrast-dependence of the scanner's image reconstruction software) and that the AIF shape is deviating from simple hyperbolic behavior beyond 60 min p.i.
The risk of this kind of error is rather small due to the large number of recordings.
However, by applying sequential multiple linear/logistic regression analyses, the chance on Type 1 error was rather small [ 58].
The practitioner may feel that even 12% robustness against model-coefficient error is rather small, given the severe uncertainty of TB epidemiology in the context of epidemic HIV.
Current efforts are made to determine how to implement the model from an organizational point of view, as the number of developers, disciplines and departments involved in the design of this product is rather large and small errors can lead to large losses.
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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