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Yet even with a very big margin of error, the data would still show that the right to be forgotten issue is overwhelmingly about everyday people, often with little public profile – victims of algorithmic failure on the indelible web.
Model parameters are optimized so that the model can, at least, re-produce with minimum error the data that were used in obtaining the membership functions and rules.
In the limited chance of a read disturb error, the data in that block is read and rewritten, but this would not have any material impact on the write amplification of the drive.
To limit the risk of data-entry error, the data from the self-monitored blood glucose meters were downloaded to a computer during every clinic visit.
As long as biometric techniques allow for a degree of tolerance for error, the data are subject to disruption, rendering it impossible to accurately compare the scanned input with the original sample.
Within error, the data show that independent of the position of the fluorophore, binding of the first molecule of DBD makes a small contribution to the change in anisotropy while the signal is dominated by the binding of the second and third molecules.
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To correct for tip-height errors, the data was rigid registered, and then, the median height was calculated row-wise.
In order to minimize the effects of potential laboratory and documentation errors, the data were read separately by two independent persons in the light of the known phylogeny.
For all data errors, the data entry operators should not make unilateral decisions on correcting the errors.
To avoid transcription errors, the data were input into statistical software and rechecked by a third investigator (NB).
To avoid transcription errors, the data were input into statistical software and rechecked by different investigators (FP and LD).
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