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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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Социальные эффекты онлайн-сообществ: нетнография YouTube- сообщества вышивальщиц

Мониторинг общественного мнения: Экономические и социальные перемены. 2020. № 5. С. 308–339.
Demin P., Сорочан Е. А.

The study reveals the features of emergence and existence of social communities during the evolution of society. FlossTube association as the example of a long-term stable community is analyzed in order to clarify the reasons for existence of modern online communities. The study presents the organizational structure of the community, a typology of its participants, the features of their interactions, and the social effects of the community. The empirical base of the study is represented by 8 in-depth semi-structured interviews and netnography of 47 videos of community members.

Research outcomes demonstrate that the social effects of the embroiderer’s community can be considered both expected and unintended results of its activity. As direct social effects, when joining a community, its members receive psychological comfort and belonging to the community, group solidarity and recognition of like-minded people, opportunities for self-development and professional specialization. At the same time, the community legitimizes consumption and provides external arbitration for the actions of participants, as well as enhance their bargaining power in market interactions. The community studied is an example of a voluntary association of people that organizes itself on the principles of utilitarian rationality and individualized utility for its members. Internally motivated needs of individuals condition the existence of an online community that unites people for a long time.

The study will be useful to scientists studying the structure and functioning mechanisms of online communities. The practical use of the study involves providing a scientific foundation for people and business who interact with online communities on an economic basis or plan to create and manage stable online communities.

Research target: Sociology (including Demography and Anthropology Social Sciences
Priority areas: sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: нетнографияonline communityYouTubegroup identityгрупповая идентичностьnetnographyонлайн сообществоYouTubebargaining powerпереговорная силасоциальные эффектыSocial effectsmarket agentsflosstubeembroideryрыночные агентырукоделие
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