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Nowadays data compressors are applied to many problems of text analysis, but many such applications are developed outside of the framework of mathematical statistics. In this paper we overcome this obstacle and show how several methods of classical mathematical statistics can be developed based on applications of the data compressors.

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In the recent five years, Russian universities’ publishing activities have increased several times. The authors consider their strategies used to increase publications to be indexed in Scopus database, i. e. publications in foreign journals and conference proceedings, inviting outer authors, so called ‘predatory’ journals. The efficiency of these strategies and their side-effects differ a lot. The universities, intentionally or unwittingly, apply various combinations of strategies based on their intrinsic conditions (administrative practices) and environment (possibility of cooperation). The authors argue that interaction with FASO/RAS institutions is the key driver for several leading Russian universities.

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