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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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Эффект воздействия высшего образования на здоровье в моделях возрастных когорт

Экономический журнал Высшей школы экономики. 2025. Т. 29. № 2. С. 337–374.
Kosorukova M. A., Kossova E. V., Potanin B., Шило А. В.

The work is devoted to the estimation of the average treatment effect of higher education on health, assuming the existence of structural differences in the dependencies between the studied factors by gender and the birth cohort of individuals. The effects are estimated separately for each cohort of men and women using parametric (multivariate recursive probit model) and nonparametric (matching) methods. The use of fundamentally different approaches makes it possible to verify the robustness of the results to violating the assumptions of the applied methods. During the study the statistical evidence in favor of the existence of significant negative average treatment effects of higher education on the probability of obesity and the probability of hypertension and significant positive effects on the likelihood of high self-esteem of health was revealed for women. For men, the statistical evidence in favor of the presence of positive average treatment effects on the probability of having heart diseases, hypertension, allergy, and high self-esteem of health was found. A significant differentiation of the average treatment effects depending on the age cohort was revealed. For certain types of diseases, the cohort diminishing hypothesis for education is confirmed. The conclusion is made about the necessity of studying the impact of education on individuals’ health separately for men and women born in different time periods, as well as the inexpediency of using aggregated health indicators when analyzing the impact of education on health. The results of the study allow determining the nature of cohort changes in the impact of education on health of the Russian population and can be taken into account when forming state policy on education as a source of positive external effects on health.

Research target: Economics and Management Mathematics
Language: Russian
DOI
Text on another site
Keywords: здоровьеобразованиеeducationhealthmatchingэффект воздействияtreatment effectмэтчингмногомерная пробит-модельmultivariate probit model возрастные когортыage cohorts
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