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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Альтернативный подход к исследованию туристской привлекательности российских регионов

Проблемы рыночной экономики. 2023. № 2. С. 67–94.
Lebedeva S.

The Russian Federation finds itself in unprecedented sanctions situation, which contributes to changing the patterns of consumer behavior in different spheres, including the tourism industry. Russian tourists are forced to «switch» to domestic destinations, and federal, regional and local authorities are interested in increasing the attractiveness of Russian regions. Many scientists attempt to assess the attractiveness of world tourist destinations, including Russia, as well as Russian regions. Today, the National Tourist Rating of Russian regions is built on the basis of the methodology worked out by the magazine «Rest in Russia» in conjunction with the Center for Information Communications «Rating». However, this methodology also has disadvantages. Firstly, the methodology does not take into account the transport accessibility of the Russian regions, as well as natural and environmental component. Moreover, the methodology is not fully objective. National Tourist Rating is built with the use of expert assessment. Finally, for the past eight years, the methodology has been undergoing changes every year (indicators were added and excluded). This article proposes an alternative method for calculating the index of tourist attractiveness of Russian regions based on an integral assessment of five generalizing parameters of the tourism industry. As a result, the author proposed a rating of the tourist attractiveness of the regions, calculated according to the data of 2021.

Research target: Economics and Management
Language: Russian
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Text on another site
Keywords: интегральный показательрегионы Россииintegral indicator Russian regionstourist attractionNational tourist ratingalternative calculation methodНациональный туристический рейтингтуристская привлекательностьальтернативная методика расчета
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