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We correct a data processing error in the article "Construction of explicit and implicit dynamic finite difference schemes and application to the large-eddy simulation of the Taylor Green vortex" by Dieter Fauconnier, Chris De Langhe and Erik Dick published in the Journal of Computational Physics 228 (2009), pp. 8053 8084.
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In general, we assume that a correctness relation on C has been specified, where C ε,H) holds just in case hypothesis H is correct an data stream ε.
Its data should correct "a gross mistake that is an embarrassment to astronomy", he told the Observer.
Hence, they must interpolate quite large areas; because of the shortcomings of the detection step, they tend to attempt to correct a substantial amount of clean data.
Below I give several suggestions in order to improve the article as well as some data to correct a couple of mistakes.
It uses gene knockout experimental data to correct an FBA model based on growth/no-growth mismatches between in silico prediction and in vivo experimental data.
After using EST data to correct an apparent annotation error for one of these genes [PPTG_19214], all four P. parasitica CE5 proteins are predicted to be secreted.
In our tests, we use this gazetteer to correct geographic data from a big sample (around 142,000 occurrence records of Amazonian specimens) from SpeciesLink, a big repository of biodiversity collection records from Brazil.
Importantly, the larger pupil size during sentence reading than during z-string scanning that was reported for the uncorrected data above was also found for the corrected data: A comparison of the corrected pupil response reveals a significantly wider pupil for sentence reading than for the z-string scanning from about -10.5° onward (all ts > 2.1, all ps <.05).
Some additional checks and balances would help -- people need a chance to correct their data, for example, and the system should be legally restricted to airports to ensure that citizens' threat rankings don't trail them in all of their interactions with the government.
First, two linear filters (SD filter and 20% mean values) were applied to correct for data points outside a limit interval [ 20].
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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