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Topics represent concepts of a certain field in which a learner is concerned.
It conflicts with strong distinctivism, the view that all of philosophy's theories, methods, and topics represent the point of view of a region, person, group, or culture.
These topics represent vast bodies of work and are sometimes very general in nature, such as cancer and evolution.
Together, these topics represent 71% of all studies.
It is unknown whether these meta-analyses are totally different and done on different topics; represent serial updates of the same topic done by the same team of authors who want to bring their data up to date; or are on some topics that attract attention of multiple different teams of systematic reviewers who independently perform and publish their meta-analyses.
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The review of such characteristic topics represents a snapshot of efforts to push the boundaries of fluorescence microscopy of membrane proteins to the absolute limit.
This advance ranking of the topics represented the methodological starting point of the workshops, which were designed in such a way that all topic 'candidates' discussed were discursively dismissed or selected until the envisaged number of topics remained.
Finally, we outline cosine similarity as and average linkage clustering for measuring the distance between official recognized crime types (e.g., robbery, burglary, assault) based on the mixtures of topics represented by those events.
Essentially, we used a corpus of titles of papers published in a certain period to predict what will be the major topics (represented as n-grams) in the future.
Most striking are the affinities to the (also early) Topics; if, as it is widely agreed, the Topics represents a pre-syllogistic state of Aristotelian logic, the same is true of the Rhetoric: we actually find no hints of syllogistic inventory in it.
The four access points of the conceptual framework are interlinked by four key topics representing the main scientific challenges that need to be addressed, i.e.: identifying and prioritising hazardous chemicals at different scales; selecting relevant and efficient abatement options; providing regulatory support for chemicals management; predicting and prioritising future chemical risks.
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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