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April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
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Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Неологизмы – названия профессий в русском языке: системный и функциональный аспекты

Вестник Волгоградского государственного университета. Серия 2: Языкознание. 2024. Т. 23. № 1. С. 42–55.
Fufaeva I., Zgirovskaya O.

The article presents the results of the analysis on neologisms denoting professions (including colloquial and/or representing collocations) obtained through a survey of native speakers of the Russian language, using the method of distributive semantics (RusVectores service) and the language model with artificial intelligence ChatGPT. All three methods for identifying neologisms – the names of professions – were evaluated and compared, both in quantitative terms and in terms of content. The most effective was a survey of native speakers of the Russian language; the least effective was the method of distributive semantics (RusVectores service). Extralinguistic factors in the emergence of new job titles are identified: the appearance of new and intensive development of existing professional fields, their diversification, the influence of another language on professional usage, the need for prestigious modern titles of existing jobs. An active addition of neologisms to a group of vocabulary in the areas of creating and disseminating information and helping practices has been revealed, where the blurring of the boundaries of existing jobs leads to an expansion of the semantic scope of existing job titles, and a large number of designations for narrow specialists appear. For titles of jobs not related to these areas, new synonyms appear less actively. The area associated with information processing is characterized by semantic shifts in the titles already used in the language. Despite the fact that neologisms-borrowings are common in the sphere of profession nomination, they are often replaced by original synonyms, or such synonyms successfully compete with borrowings.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Text on another site
Keywords: semanticsсемантикасинонимneologismнеологизмsynonymChatGPTChatGPTназвания профессийjob titlesdictionary of synonymsRusVectoresсловарь синонимовRusVectores
Publication based on the results of:
Discourse practices of Russian society: Diversity and Dynamics (2023)
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