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News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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Диалоговая система для сопровождения человека, страдающего реактивной депрессией. Лингвистический аспект

Глобальный научный потенциал. 2024. Т. 155. № 2. С. 226–231.
Сиверцев Е. Ю., Фирсанова В. И.

The purpose of the article is to give recommendations for creating a dialogue system that can be connected to any electronic device (personal computer, smartphone) and should always be at the disposal of a person suffering from reactive depression. The method of distributive semantics is used: searching for the meaning of a word by its surroundings. The result of applying this method is the opportunity provided by computational linguistics to combine an almost unlimited amount of material extracted from the Internet with the ability of modern artificial intelligence to self-learn. The user is in constant communication with a personalized dialogue agent, which is constantly being improved by expanding the knowledge base about the individual characteristics of a person’s character and fine-tuning the neural network algorithm for natural language processing based on this data.

Research target: Philology and Linguistics
Language: Russian
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Keywords: искусственный интеллектпользовательдепрессиядистрибутивная семантикаdepressionдиалоговая системаdistributive semanticsdialogue systems artificial intelligenceself-learning systemuserсамообучающая система
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