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The assessment, made in milliseconds, is strongly influenced by abnormal features such as scars, blotches, or conspicuous asymmetry.
First, abnormal features tend to be explanatorily salient.
Neural networks also can be used to detect abnormal features in complex functions.
Sometime, these Sq variations show abnormal features outside the normal trend called abnormal quiet day (AQD) variations.
AQD variations occur occasionally on normal Sq pattern showing abnormal features in the day-to-day variability.
The first PC shows normal variations whereas the second PC shows the abnormal features in both the H- and D-components at all the Indian stations.
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It is, however, the only abnormal feature in two malignant nodules.
Since the identification of representative clusters is based on comparing the membership of each class in the clusters, the number of normal and abnormal feature vectors should be the same in order to perform a fair comparison.
Principal component analysis results show that the two peak structures in H-component on 9 July 2004 and 11 December 2009 (AQD) observed at all the Indian stations are reflected in the second principal component PC-2(H); also, PC-2(D) shows the abnormal feature on these days.
To note, KN-93 recovered this abnormal feature of the calcium upstroke.
Incomplete glycosylation is another abnormal feature of mucins found in human cancer.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com