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*column totals may not add to total due to missing data; † denotes a statistically significant association; ‡ denotes items that were used in the SDB analysis; no formal statistical analysis was conducted for this item which allowed for multiple possible responses.
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The term popular art is widely used to denote items commercially or mass-produced to meet popular taste, a process distinguished from the manner of the folk artist, as defined above.
Intrusions may denote items available during the specified period, items consumed during other periods, or items from general knowledge of dietary intake.
These letters are followed by numeric codes that range from one digit (to denote item content at the least specific (domain) level) to four digits (denoting highly specific attributes within each domain) (see Table 1).
Each node in the item-prefix subtree includes three fields: item-name, count, and node-link, where item-name denotes which item this node represents, count denotes the number of transactions represented by the portion of the path reaching this node, and node-link links to the next node in the FP-tree carrying the same item-name.
A 2D representation of the multidimensional preference analysis denotes the items and judges by the first two columns of N - 1 U and DV ′ N - 1, respectively.
Note: "No suicidal ideation" denotes HDRS item-3 score = 0; "Any suicidal ideation" denotes HDRS item-3 > 0; "Life not worth living" denotes HDRS item-3 score = 1; "Thoughts of death or Suicidal ideation" denotes HDRS item-3 score >1.
In dietary recall for a specified target period, an intrusion denotes an item reported eaten that was not consumed during that period.
For each transaction, the mapper generates (langle key, value rangle) pairs where key denotes every item in transaction and value is an integer 1 (lines 4 6).
The matrix element in the table denotes an item of category that was identified by the SVM as belonging to category ; in other words, the rows of this contingency table correspond to the ground truth and the columns to predictions.
T IP, denoting the item-property probability propagation matrix, is defined as follows: {T}_{IP}left i,jright)=left{begin{array}{l}{w}_{ip}cdot 1kern2em mathrm{ef}kern0.5em {e}_{ip}=1 0mathrm{otherwise}=1d{array}=1ght.
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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