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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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Accuracy assessment of user micromobility models for THz cellular systems

P. 37–42.
Stepanov N., Turlikov A., Begishev V., Koucheryavy E., Moltchanov D.

Terahertz (THz, 0.3-3 THz) communications are envisioned as one of the enablers at the air interface for sixth-generation (6G) cellular systems. However, by utilizing large antenna arrays to overcome severe path losses, this system will suffer from micromobility phenomenon manifesting itself in occasional rotations and displacements of user equipment (UE) in the hand of a user. In this paper, based on the measurements of micromobility patterns we propose several models characterized by various degrees of details to capture micromobility patterns of different applications. By utilizing the time to the outage as a metric we compare their accuracy. Our results show that drift to the origin is a critical property that has to be captured by the model. While the two-dimensional Markov model is shown to provide the most accurate approximation, the decomposed Brownian motion model is characterized by the worst match of data. The decomposed one-dimensional Markov model provides the trade-off between simplicity and approximation accuracy

Language: English
DOI
Keywords: modelsmicromobilityTHz communications

In book

mmNets '21: Proceedings of the 5th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems
Association for Computing Machinery (ACM), 2021.
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