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  • Глава 2. Смертность от внешних причин и эпидемиологический переход
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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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Глава 2. Смертность от внешних причин и эпидемиологический переход

Гл. 2. С. 45–83.
Vishnevsky A.

The chapter examines mortality from external causes of death in the context of the present stage of mortality reduction, in which noncommunicable diseases and causes of death resulting from external sources come to the fore. At this stage, which has lasted for at least half a century, revolutionary changes have taken place in most developed countries.  These changes manifest themselves in the drastic expansion of control over non-infectious causes of death, particularly over diseases of the circulatory system, neoplasms, and other noncommunicable diseases, as well as over external causes of death. The consequence of these changes has been the rapid shift of deaths from the abovementioned causes to older ages, an increase in the mean age of death from them and, ultimately, a significant rise in life expectancy. Meanwhile, Russia has been mostly unaffected by these changes and has failed to provide the necessary  growth of control over noncommunicable causes of death, including external causes of death. The age distribution of deaths from major classes of causes of death in Russia over the past half-century has not changed, leading to a stagnation in life expectancy and to an increasing lag behind the majority of developed countries with respect to this indicator.  "The second epidemiologic revolution" in Russia is still a matter for the future.

Language: Russian
Full text
Keywords: эпидемиологический переходсмертность в Россииexternal causes of deathвнешние причины смертиmortality in Russiasecond epidemiologic revolutionepidemiologic transitionepidemiologic revolutionhealth transitioninjuriesэпидемиологическая революциявторая эпидемиологическая революция excess mortalityизбыточная смертностьсанитарный переход
Publication based on the results of:
The long-term demographic development of Russia in the light of the 2015 Microcensus results (2017)

In book

Смертность от внешних причин в России с середины XX века
Смертность от внешних причин в России с середины XX века
М.: Издательский дом НИУ ВШЭ, 2017.
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