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In logic, we want the rules to be, for example, topic neutral, i.e., applicable to inferences (as far as possible) independent of specific subject matter.
There is no, for example, "topic" section of your home page where similar trending stories (say, relating to SOPA) are collected, with high-ranking comments accompanying.
We were nevertheless able to identify many topics with consistent semantics - see for example topic 30 ("education") or topic 95 ("birds") – and the topic composition of sample articles (see Figure 5) seemed to reflect the content well.
For example, topic 'xy' was ranked as 'very urgent' by the experts, but a representative of the decision-making body refused this topic as "at the moment little attention is being paid to the topic according to the current in-house opinion about that problem; the topic is 'old hat'.
We find that for example topic 50 has very high probabilities for two gene sets and much lower probabilities for the remaining gene sets, while topic 24 has rather uniformly distributed probabilities for a wide range of gene sets.
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As a matter of fact, multiple relations commonly exist in a discourse structure, for example topic-comment chains.
In contrary to science subjects, for example, topics such as history or geography can be taught totally in a classroom environment.
For example, topics on architecture, transportation, and so on rather than "information technology" were excluded.
For example, topics such as shock, seizure and drug overdose are highly ranked, but are also frequently encountered in the emergency department.
For example topics like combining information remain still highly debated, and no complete and final answers can be provided at this time.
For example, topics such as collecting relevant patient information (4.38 out of 5) or determining whether patients were managing their medication regimes (4.17) were readily grasped while participating in clinics, seminars, projects or presentations (1.99) or developing professional relationships with other health-care providers (3.47) were much less well inculcated.
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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