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  • Потерянные годы жизни в результате преждевременной смертности населения муниципальных районов Архангельской области в 2010-2019 гг
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News
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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Потерянные годы жизни в результате преждевременной смертности населения муниципальных районов Архангельской области в 2010-2019 гг

Региональные исследования. 2021. Т. 71. № 1. С. 96–106.
Fattakhov T., Mironova A. A.

Abstract. To solve demographic problems and, in particular, to increase the life expectancy in Arctic regions, analysis of mortality in small territories is of particular relevance. The object of this study is to analyze the intraregional differentiation of mortality based on age-standardized indicator of lost years of life caused by premature mortality in the context of main classes of death’s causes for the period 2010-2019 in Arkhangelsk region. The standardized indicator of lost years of life has decreased for all ages and all classes of death’s causes in Arkhangelsk region. Dynamic and level of the standardized indicator of lost years of life have big differentiation at municipal level. For example, in urban districts and adjacent areas the reduction in mortality was bigger than in border and peripheral areas. Our study shows that in the structure of lost years of life the first place is occupied by diseases of circulatory system (50.0%), the second - by external causes (19.7%), and the third - by neoplasms (14.3%). The most difficult situation is in the peripheral areas of the region due to higher losses from external causes of death at working age.

Priority areas: economics sociology humanitarian
Language: Russian
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Keywords: смертностьАрктикаmortalityпричины смертиArcticпреждевременная смертностьинтегральные показатели здоровьяcauses of deathАрхангельская областьпотерянные годы жизниpremature mortality ARKHANGELSK REGIONintegral indicators of healthnorthern regionsсеверные регионыlost years of life
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