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However, it may lead to distortions of data and hence greater information loss due to k-anonymization.
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We studied possible reasons for distortion of data by the limb effects to eliminate some discrepancies at high latitudes caused by the high order of scattering of data in that region.
Though more noisy, drag force measurements have the advantage over piezoelectric technique as the former is insensitive to potential dependent adsorption, which causes distortion of data on liquid properties obtained from piezoelectric resonator measurements at more positive potentials.
Thus, we speculate that data misrepresentation in the scientific literature might play a part in the distortion of data into misleading conclusions in the media.
Different definitions are adopted by different institutions, but they all agree that fabrication (invention of data or cases), falsification (wilful distortion of data or results) and plagiarism (copying of ideas, data, or words without attribution) are serious forms of scientific misconduct [7], [10].
Denial of evolution ranges from ignorance of the evidence to outright denial or distortion of data.
These critics suggest that progress could be achieved much faster by getting rid of aid altogether, although others have suggested that these arguments rely on distortion of data to suit pro-privatization agendas [ 30].
Where outcome (case-mix adjusted) monitoring is used to support judgements about quality of care, often with rewards and punishments, there are serious risks of negative consequences such as distortion of data (gaming) and/or distortion of processes of care [ 15].
In principle the readout train length could have been varied for the different SIR acquisitions, resulting in lower bandwidths for the less accelerated data, while matching the distortions of the data with the higher SIR factors.
Climate scientists and journalists at several newspapers have argued that the book is riddled with errors, distortions of the data, and outright lies.
With no distortions of original data guaranteed, the PCA algorithm can reduce the number of variables and eliminate features with low discriminations.
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