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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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Разработка макромодели надежности импульсного источника вторичного электропитания

Физические основы приборостроения. 2023. Т. 12. № 3(49). С. 7–17.
Ivanov I., Korolev P., Polesskiy S., Tsvetkov V.

The article proposes a methodology for developing reliable macro-models of pulse secondary power sources (SPS) to predict the unit dependability indicator as the failure rate. A natural experiment was conducted to observe the operation of a pulse SPS under various electrical loads and temperatures, revealing a critical factor that significantly affects the dependability of pulse SPS: temperature. Additionally, a macro-model of dependability for pulse secondary power sources was developed, validated through both natural and virtual experiments. The task of constructing the macro-model is achieved using the approximation method of polynomial regression of degree n. The adequacy of the developed macro-model is confirmed by the coefficient of determination and a relative error not exceeding 3%. The analysis results confirm the high accuracy of the macro-model compared to full model of dependability for SPS. Dependencies are presented that confirm the fact that the most significant impact on the operational failure rate is exerted by external influencing factors, specifically temperature. The proposed methodology can also be applied to predict target reliability measures for other electronic devices, thereby enhancing the efficiency of system design.

Research target: Electronics and Electrical Engineering
Language: Russian
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Text on another site
Keywords: внешние воздействующие факторыпоказатели надежностиreliability measuresполиномиальная регрессияэксплуатационная интенсивность отказовoperational failure ratedependability macro-modelpulsed secondary power supplyenvironmental conditionspolynomial regressionмакромодель надежностиимпульсный источник вторичного электропитания
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