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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
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
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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Русский язык в неславянском окружении: модель языковой конкуренции в регионах тесного языкового контактирования

Русин. 2023. № 71. С. 239–250.
Artemenko E.

Language competition is mostly relevant in regions of close language contact. The study allows predicting the loss of the minority language by bilinguals and preventing the final transition to monolingualism, thus preserving the bilingual community. The article analyzes the existing models of language competition and assesses the predictors of its dynamics, taking into account the specificity of the linguistic situation of Turkic-Russian bilingualism in South Siberia. The predictors are sociodemographic, including institutional, sociocultural and some motivational factors. Modeling is based on the Turkic-Russian bilingualism database, which includes three groups of linguistic interaction: Tatar-Russian, Shor-Russian, and Khakass-Russian. The database contains a total of 25,145 observations from 235 bilinguals. The proposed modeling and its results have shown that language competition is provided by mutually directed processes. Thus, the most influential factors ensuring high proficiency of bilinguals in their native minority language and, therefore, leading to a balanced language situation in the conditions of language competition, are sociodemographic factors: experience of preschool residence (in the village or in the city) and place of residence at the present time. The age as well as a group of socio-cultural factors (the language of rites and songs) is insignificant. Motivation, on the contrary, leads to an unbalanced bilingual situation, reducing the functional role of the minority language. Bilinguals emphasize that their own intention to use Russian is higher than the intention to use their native language. Thus, the maintenance of a balanced bilingual situation largely depends on demographic factors and motivation of bilinguals.

Research target: Philology and Linguistics Sociology (including Demography and Anthropology
Language: Russian
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Keywords: bilingualismбилингвизмбилингвыlanguage competitionTatar-Russian bilingualismunbalanced bilingualismКонкуренция языковНесбалансированный билингвизмТатарско-русский билингвизмБилингвальная языковая ситуация
Publication based on the results of:
Innovative methods of data collection and analysis in the modeling of communicative behavior of Internet users and the development of respective technological solutions (2023)
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