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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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Performance Evaluation of Channel Access in NB-Fi Networks

Journal of Communications Technology and Electronics. 2022. Vol. 67. No. 6. P. 747–754.
Bankov D., Levchenko P. A., Lyakhov A., Khorov E.

The rapid growth of the Internet of Things gives rise to numerous Low Power Wide Area Network technologies, one of which, NB-Fi technology, has been approved as a Preliminary National Standard of the Russian Federation and is planned for wide application. However, the scientific literature contains very few studies of NB-Fi, and the investigation of the possibilities and potential advantages and disadvantages of NB-Fi is an open issue. This paper provides a tutorial of the NB-Fi protocol with a focus on channel access methods. Also, the paper evaluates how the packet loss rate and delay depend on the network load, points out the factors that can reduce the protocol efficiency, and proposes some approaches to improve the NB-Fi network performance.

Research target: Computer Science Electronics and Electrical Engineering
Language: English
DOI
Text on another site
Keywords: беспроводные сенсорные сетиwireless sensor networksLPWAN Internet of ThingsИнтернет вещейchannel access methodsNB-FiLPWANNB-Fiдоступ к каналу
Publication based on the results of:
Development of models and methods for Network 2030 (2022)
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