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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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Моделирование информационного сетевого взаимодействия в киберсоциальных системах

Вычислительные технологии. 2026. Т. 31. № 1. С. 5–22.
Maltseva S. V., Голубцов П. В., Барахнин В. Б.

The issues of macro-level monitoring of the manufacturing system in the implementation of the concepts of Industry 4.0 and 5.0 based on the study of information flows in manufacturing network structures are considered. The numerical models of three types of network interaction, that taking into account the influence of the number of objects, external influences, and the interaction rules, are investigated.

We present the results of numerical experiments using the proposed models, allowing analyzing the characteristics of network activity for different values of the model parameters. They include the occurrence of instabilities, competition of types of network activity, the influence of randomness, transient processes when changing external influences, and others.

The main mechanisms for ensuring stability in network structures are considered. We discuss the recommendations for using information flow monitoring in tasks of ensuring stability of network manufacturing structures.

Research target: Computer Science
Language: Russian
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Keywords: социальная сетьустойчивостьинформационное взаимодействиеsustainabilitysocial networkcyber-physical-social systeminformation interactionкиберсоциальная система
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