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The phrase "harm the accuracy" is correct and usable in written English.
You can use this phrase in any situation where accuracy would be impaired or weakened by some action or factor. For example, "The poor lighting conditions in the room were known to harm the accuracy of their research results."
Exact(8)
For the second-order formulation of the wave equation, mass lumping on Legendre Gauss Lobatto points does not harm the accuracy.
Jordan Gerth, a researcher at University of Wisconsin's Cooperative Institute for Meteorological Satellite Studies, said that if this data were corrupted, it would harm the accuracy of weather models relied on by forecasters.
But when questioned by plaintiffs' lawyers, Abowd said that even if the households that failed to initially respond could ultimately be counted by the NRFU, adding the question would irreparably harm the accuracy of many of those responses.
Testimony wrapped up Thursday over the Trump administration's addition of a citizenship question to the 2020 Census as government attorneys sought to show it would not harm the accuracy of the count.
Decomposition can harm the accuracy of behavioral frequency reports.. Applied Cognitive Psychology, 14, 295-308.
It would be costly and harm the accuracy of census data, Abowd wrote, because fewer people would choose to voluntarily respond to the survey.
Similar(52)
This means that data will be collected from general practice registrations rather than population estimates, and this is likely to harm the quality, accuracy and completeness of data, according to a report published in the British Medical Journal.
The propensity for bias "did not harm the predictive accuracy of landline polls in the 2008 presidential election, perhaps because the cell-only population was slightly smaller then, and because the kinds of people missed by landline surveys may be less likely to turn out," Scott Keeter, director of survey research for Pew, said.
The implementation of Gaussian-based MC MDT plus CG selection does not harm the recognition accuracy but consumes less CPU time in comparison with the Gaussian-based MC MDT system (compare row 3 with 5 in Tables 2, 3, 4, and 5).
Though at very low possibilities coincident of errors in these n-attribute keys may risk the general accuracy, it does not harm the good tradeoff between time and accuracy in Merge/Purge since it may happen at very small probabilities.
may harm the overall fitting.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com