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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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Оценка взаимосвязи состояния здоровья и занятости россиян в конце 2010-х годов

Социологические исследования. 2021. № 7. С. 61–72.
Karavay A.

The article deals with the problems of the influence of individuals’ health status on the probability of their employment. Also, we assessed the effectiveness of various methods of measuring individuals’ health status in sociological surveys. The results of the regression analysis show that there is a statistically significant relationship between a person’s employment and their health status, as well as the feasibility of including health indicators in the corresponding regression models. Optimal in this case is a combination of objective (the presence of disability) and subjective (self-perceived health status) indicators. We demonstrate the place of health status among other factors of employment and the key ones are highlighted, both in general and separately for men and women since the population of the country still retains the ideas of gender social roles characteristic of Russian culture. These roles cause differences in the set of factors that affect the probability of men’s and women’s employment, including considering health status. It is also shown that weak health, even without disability, severely limits individuals’ chances of employment, and this situation has remained unchanged since at least the mid-1990s. At the same time, good health status in comparison with the situation of the mid-2000s has now begun to increase the probability of employment in Russia in comparison with even average health status. At the same time, the elements of a healthy lifestyle associated with a healthy diet and physical activity are still not sufficiently widespread, although there are fewer adepts of bad habits among Russians.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: здоровый образ жизниhealthy lifestyleгендерные стереотипыздоровье россиянlabor forceemployment factorsрабочая силаgender stereotypesRussians’ health statusфакторы занятости
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