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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Вклад курения в смертность в России в 2019 году

Демографическое обозрение. 2021. Т. 8. № 1. С. 81–105.
Халтурина Д. А., Zamyatnina E., Зубкова Т. С.

Tobacco use is a known risk factor for premature mortality. This paper presents the estimates of smoking-related mortality in Russia in 2019 for 27 causes of death for smokers and ex-smokers by gender and five-year age groups.

Smoking prevalence in Russia by sex and age and share of former smokers who quitted 10 or less years ago was obtained from RLMS HSE. The causes of death associated with current and past smoking, as well as the relative risk (RR) values were obtained from systematic reviews and cohort studies. The estimates of the contribution of current and past smoking for each cause of death by sex and five-year age groups, was made using the formula of the population attributable fraction (PAF) in its multilevel form. Rosstat data on the number of deaths by causes of death, gender and five-year age groups in Russia in 2019 was obtained from the database of the Federal Research Institute for Health Organization and Informatics of the Ministry of Health of the Russian Federation. 

The structure and differences in smoking-related mortality by cause of death and age, gender was calculated.

According to our calculations, more than 266 thousand people died due to smoking in Russia in 2019, including 226 thousand men and 40 thousand women. 58% of these deaths were from cardiovascular diseases. These calculations make it possible to estimate the structure of smoking-related mortality by causes of death, gender and age in modern Russia, and to set a benchmark for tobacco-control policy development. 

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: смертностькурениеmortalitysmokingдемографический анализпричины смертиcauses of deathdemographic analysis
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