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We note, however, that a tight match of the training and class means does not necessarily mean excellent classification, because this representation does not include omission errors.
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This enfranchisement, this democratic representation, doesn't have to be connected with statehood.
Because proportional representation does not favour large parties over smaller ones, as does the winner-take-all system, in countries with proportional representation there are almost always three or more parties represented in the legislature, and a coalition government consisting of two or more parties is ordinarily necessary to win legislative support for the government's policies.
There are no lines of perspective, because isometric representation doesn't have vanishing points.
Because that representation doesn't come free, unions prefer to negotiate contracts requiring everyone to chip in to cover the costs to avoid what unions derisively call "free riding" by non-dues-paying employees.
However, we do need talented young men to consider teaching precisely because the current 25percentt representation does not reflect the society in which we live, much the same as the overall lack of racial, class, or LGBTQ diversities in education.
Hint, the second: Just because we gave you an RTL representation doesn't mean it's the best way to look at this problem.
Even if the historic message of no taxation absent representation doesn't really scan because the current president won election decisively in a free and open election, the Tea Act that drew the scorn of colonials was, at bottom, a bailout of the East India Company, which was close to bankruptcy after huge misadventures in India.
Representation does, in fact, matter.
Because this representation of purposiveness does not involve the ascription of an purpose, Kant calls the purposiveness which is represented "merely formal purposiveness" or "the form of purposiveness".
In the context of human connectomics, such representations are not however always satisfactory because canonical methods for vertex edge relationship representation do not always offer optimal insight regarding functional and structural neural connectivity.
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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