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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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?

Hotel Value Dimensions and Tourists' Perception of the City. The Case of St. Petersburg

P. 341–346.
Nikita Kaspruk, Olga Silyutina, Karepin V.
In press

In this work in progress, we analyze how perceived hotel value dimensions and the perception of city sights are connected with categories of hotels. Applying a topic modelling algorithm to 21,165 reviews from 201 hotels located in Saint Petersburg, we show that clients of hotels of different categories pay attention to different value dimensions. Analyzing local aspect of value perception, we show how existing differences in perceiving the city by guests of the hotels can be explained in terms of the diversity of the socioeconomic status of clients.

Language: English
Full text
DOI
Keywords: стратификацияtopic modelingstratificationтематическое моделированиеhotelsотелиtourist's reviews
Publication based on the results of:
Социальные алгоритмы: онлайн-сообщества, рейтинги, сети, рекомендации (2017)

In book

Digital Transformation & Global Society: Second International Conference, DTGS 2017, St. Petersburg, Russia, June 21-23, 2017, Revised Selected Papers
Springer, 2017.
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