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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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В мозаике общества: исследование социально-демографических характеристик агентного населения

Мониторинг общественного мнения: Экономические и социальные перемены. 2026. № 1. С. 182–207.
Koreshnikova Y., Afanaseva I., Solominova D.

The study presented in this article aims to create a socio-demographic profile of the agentic individual. By "agency," the authors define a person's ability to act as an active participant in changing the environment, rather than passively following it. The authors believe that the demand for such qualities is heightened in a highly volatile world. To achieve this goal, two sample surveys of the Russian population were conducted using a representative sample. The first was conducted using face-to-face, semi-structured interviews conducted using tablets (2,000 people, September 2023). The second was conducted using an online survey (4,001 people, October 2023). Data analysis revealed that women exhibit the greatest initiative at the age of 35-44, while men exhibit the greatest initiative at the age of 25-34. The majority of study participants who demonstrated initiative in at least one area reside in large cities of the Central Federal District. The highest proportion of people demonstrating agency was found in groups with secondary vocational or higher education. Men living alone or in families of five or more demonstrated the highest levels of agency, while the highest percentage of women exhibiting agency was found in families of four. The data also showed that per capita income increased with increasing levels of agency.

Research target: Sociology (including Demography and Anthropology Other social sciences Education
Language: Russian
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Keywords: социальные структурыfamilyблагосостояниеindependenceсамостоятельностьсоциально-демографические характеристикиagencyагентностьinitiativeинициативностьsocio-demographic characteristics social structure семья well-being
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