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Of particular interest is how and when errors may be introduced into these records and how processes and systems can be improved to avoid or minimize such errors.
Common errors that occur during the water boiling test were identified and methods to minimize such errors were also proposed.
Optimal codes that can minimize such errors are known as "Gray codes" in information theory [ 28].
In order to minimize such errors, prior to each RP fractionation, a standard solution (known RT and log Kow) was injected to the preparative LC column to check the stability of the system.
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For this reason, an intensive effort (the Paleobiology database: http://paleodb.org) has resulted in a new data set [7], [8], constructed, weighted, and subsampled with the intention of minimizing such errors.
An electronically integrated formatted pro-forma which allows direct entry of assessment scores coupled with the double entry of data to allow the checking of disagreements, would minimize such transcription errors.
To minimize such artifacts and other sources of measurement error, we calculated composite measures for the cognitive domains and a global cognition composite score.
Computers can minimize such delays.
The most parsimonious reconstructions minimize such events.
Several enlargement techniques have been developed to minimize errors, such as ledging, zipping, loss of working length, and apical transportation [ 4].
As errors in this process will cause misrecognition, performance of the MMSR can be improved significantly by minimizing or compensating for such errors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com