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At first, we propose a FFEA to validly extraction the feature variables from the original database.
Performance of the ANN model was compared with statistical analysis using datasets that were kept apart from the original database.
When the transactions are consequentially modified from the original database, the discovered information is divided into three parts with nine cases.
More precisely, Cons Ex uses disjunctive logic programs with stable models semantics to specify and reason with the repairs, i.e. with the consistent virtual instances that minimally depart from the original database.
To verify the robustness of the results, tests were performed to confirm that the results are unchanged if the number of observations is changed by removing different randomly selected datasets from the original database.
Thus, the projected databases contain only suffixes of the data-sequences from the original database, grouped by prefixes.
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Fig. 6 Probability distribution of the 198 significant bit positions recovered from the original databases represented by PubChem fingerprint at threshold of 0.5.
This general grouping of compound data sets in Fig. 5 is consistent with the probability distribution of the 198 significant bit positions recovered from the original databases represented by PubChem fingerprints.
Faces from the original databases were aligned by the authors on the eye and mouth positions; the images were rescaled to match those facial features position and normalized for luminance.
The decoy databases were derived from the original databases (target databases) by reversing the target sequences for each of the three databases.
In case of a lack of relevant information in the reports published by our group, information was extracted from the original databases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com