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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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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.

 

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Эволюция образной системы Владимира Набокова: квантитативный анализ

Terra Linguistica. 2023. Т. 14. № 1. С. 11–20.
Andreev V.

The article deals with the evolution of such important aspect of individual style of Vladimir Nabokov as image system. Navokov is much better known as prose writer. However, he began his creative career as a poet and continued to write verse all his life. The utilized traditional approach to the definition of image as a transfer of conceptual characteristics makes it possible to carry out quantitative analysis of the concepts used by the author and to compare their quantity in early and mature periods of creative activity.

Multivariate discriminant analysis is used as a statistical method to differentiate between the periods simultaneously on the basis of a larger number of variables (frequencies of concepts in the function of source domain).

The obtained results demonstrate that there are significant changes in the individual style of the poet, and, consequently, in his worldview. The discriminant obtained model, which includes eight characteristics (concepts marking style alteration), makes it possible to automatically attribute the text to the right period in 100% cases.

Qualitative analysis of changes in the frequencies of concepts reveals a complex polyphonic character of style alteration, which includes both the transition from complicated to simpler concepts and change for more complex understanding of living beings.

Research target: Philology and Linguistics
Language: Russian
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Keywords: дискриминантный анализНабоковindividual styleиндивидуальный стильобразная системаNabokov discriminant analysisstylochronometryimage systemстилехронометрия
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