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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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Диалектометрический подход к диалектной классификации восточнославянских языков на материале сборника «Восточнославянские изоглоссы»

Вопросы языкового родства. 2024. № 22/3-4. С. 342–366.
Manusov A. V., Кузьмина А. С.

The article proposes a new dialectometric approach to the division of East Slavic languages. Our dialectometry is based on the material from the collection of articles “Vostochnoslavyanskie izoglossy” (“East Slavic isoglosses”, 1995–2006), which is a generalization of data from atlases of East Slavic languages (Dialectological atlas of the Russian language, Dialectological atlas of the Belarusian language, Atlas of the Ukrainian language). We transferred the VSI maps to electronic format, with each feature presented on the original map stored as a separate image. This procedure made it possible to construct a matrix of features contained in East Slavic atlases. The k-means method was used to construct clustering. New variants of dialect divisions of the East Slavic languages have been obtained, and significant dialectal features that are differential have been identified for the areas. This dialect division is compared with existing ones. The materials of “Vostochnoslavyanskie izoglossy” contain homogeneous data for all three languages, which allows to analyze the territory of the atlases as a single linguistic area and to study the East Slavic languages not only discretely, but also continuously. The article offers an analysis of cross-border dialects of the presented dialect division.

Research target: Philology and Linguistics
Language: Russian
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DOI
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Keywords: диалектологияautomatic classificationславянские языкиSlavic languagesdialectologyquantitative methods in linguisticsEast Slavic languagesgeographical linguisticsisoglossизоглоссалингвогеографиявосточнославянские языкиdialectometryдиалектометрияавтоматическая классификация языковколичественные методы в лингвистике
Publication based on the results of:
Корпусное и ареальное изучение восточнославянских диалектов (2025)
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