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June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.

 

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Combinatorics and Algorithms for Quasi-Chain Graphs

Algorithmica. 2023. Vol. 85. No. 3. P. 642–664.
Alecu B., Atminas A., Vadim Lozin, Malyshev D.

The class of quasi-chain graphs is an extension of the well-studied class of chain
graphs. This latter class enjoys many nice and important properties, such as bounded
clique-width, implicit representation, well-quasi-ordering by induced subgraphs, etc.
The class of quasi-chain graphs is substantially more complex. In particular, this class
is not well-quasi-ordered by induced subgraphs, and the clique-width is not bounded
in it. In the present paper, we show that the universe of quasi-chain graphs is at least as
complex as the universe of permutations by establishing a bijection between the class
of all permutations and a subclass of quasi-chain graphs.This implies, in particular, that
the induced subgraph isomorphism problem is NP-complete for quasi-chain graphs.
On the other hand, we propose a decomposition theorem for quasi-chain graphs that
implies an implicit representation for graphs in this class and efficient solutions for
some algorithmic problems that are generally intractable.

Research target: Computer Science Mathematics
Language: English
Full text
DOI
Text on another site
Keywords: polynomial-time algorithmbipartite graphsimplicit representation
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