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Candidate Topic Pages Times Topics pages on each candidate include articles selected by the editors and thousands more from the archives.
Our candidate topic sentence is: "We need to get more money into the hands of hardworking American families so they can spend it in their local communities on things like school supplies, home improvements and restaurant meals -- so the middle-class will once again become the job creators, lifting the economy back to health".
Since "Pregnancy" receives 2 votes, it is considered as the best candidate topic for the associated questions.
Similar(9)
Other candidate topics illustrate what I seek to avoid.
tracking user behavior, determining a user topic interest (e.g., from a plurality of different candidate topics) based on the monitored behavior, and serving ads relevant to the determined user topic interest.
Although their work is similar to ours in a sense that we both try to find user interests, Wu et al. extract relevant terms within user's own tweets and Michelson et al. retrieve candidate topics from Wikipedia, whereas we focus on finding topics that ideally are new to users and utilizing the real-time information retrieved from the Twitter network.
The topics excluding those with 1 vote are considered as the best candidate topics for the associated question group.
The best candidate topics are decided by a voting scheme, where each question contributes to a vote for its original topic ("Gynecology" has 3 votes, and "Infertility" has 1 vote).
2) They survey a stratified sample of medical school faculty members and students to rank those candidate topics by importance for entering medical students on a Likert scale (where 5 = most important, 1 = least important).
Among these associated questions, Q1, Q5, Q6, and Q8 have the same CUI-set as Q1, and their originally NetWellness assigned topics (Q1: "Gynecology," Q5: "Gynecology," Q6: "Infertility," Q8: "Gynecology") are considered as the potential candidate topics for the associated questions.
Q2's CUI-Set {C0232908 ("conceived"), C0025874 ("Metrorrhagia")} determines a set of associated questions {Q2, Q3, Q4, Q7}, among which Q2 and Q3 have the same CUI-set as Q2, and their originally NetWellness assigned topics (Q2: "Pregnancy," Q3: "Pregnancy") are considered as the potential candidate topics for the associated questions.
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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