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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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QUANTITATIVE EVALUATION OF SYNTAX SIMILARITY

Mathematica Montisnigri. 2019. Vol. XLVI. P. 123–132.
Klyshinskiy E., Karpik O.

Machine learning systems are facing problem of incomparability of their results in case of different languages; one of the subarea here is quantitative analysis of syntax. In this paper, we introduce a new quantitative method based on statistics of words co-occurrence in syntactically tagged corpora. The method allows quantitatively evaluate difference and similarity among languages, select most influential phenomena. Experimental setup consists materials for more than 50 languages. Our experiments demonstrate that the introduced method correctly cluster languages among language families.

Research target: Mathematics Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: English
Full text
DOI
Text on another site
Keywords: quantitative analysisSyntax Analysissyntactic branching
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