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Currently, a company has to report all errors it makes in public filings unless the firm's independent auditors conclude the error was "immaterial" to overall operations.
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A second investigation by a separate auditor confirmed this finding but concluded the errors had not been intentional.
We can also conclude that the error of the time delay is about 20 picoseconds.
This makes us conclude that, the error resilient performance of proposed JRVIR approach is robust on different error distribution models.
We conclude that the error signaling procedure is a more direct and reliable way to behaviorally test the functional integrity of the performance monitoring system than the instruction to correct errors.
Thus we conclude that the error signal will contain the same harmonics as the audio frame, but their amplitudes will now have significantly flatter shape in the frequency spectrum.
One can conclude that the error is systematic.
We conclude that the error source centre can be overcome by teaching study staff in detail on the procedures of the specific volumeter.
However if we see the same ratio between edge lengths across all time periods, we can conclude about the error factors and possibly their belonging to the same PM.
While we conclude that the error distributions of the VCF (Version 3) product may make it unsuitable for the diagnosis of alternate stable states in global vegetation, we also accept that no satellite products are perfect and that VCF may be a good choice for a variety of other applications.
From the analysis, we can conclude the large proportion of error lied in the classification for the most frequent classes, e.g. around 500 ones with the frequency higher than 2000, and gene named entity recognition/normalization. Therefore, these two steps should be our research focus in the future.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com