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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.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Оценка надежности функционирования городского общественного транспорта в городах Российской Федерации

Вестник Сибирского государственного автомобильно-дорожного университета. 2019. Т. 16. № 3 (67). С. 302–311.
Шаров М. И., Михайлов А. Ю.

Introduction. The paper deals with the results of the reliability of urban public passenger transport routes. One of the main objectives is to consider the indicators for assessing the reliability of the urban passenger transport system, which have not yet been used in Russian practice. The peculiarity of these indicators is that the initial information can be obtained on the basis of modern bus equipment (GLONASS/GPS). The possibility of using these indicators, as well as the development of scales of reliability levels at the moment is an important scientific problem. Materials and methods. The authors proposed modern indicators for assessing the reliability of urban passenger transport routes, such as the time index and the associated buffer time indicator. The authors used the methods of mathematical statistics to process the data on the duration of bus traffic. Results. The authors obtained the reliability characteristics of urban passenger routes. Moreover, the paper presented the comparison of the reliability values on the example of Irkutsk and Angarsk. Discussion and conclusions. The authors reveal the range of values of the time and buffer indices based on the data of route networks of two different cities. Therefore, the authors offer the estimation scale of the reliability levels on routes.

Priority areas: state and public administration
Language: Russian
Full text
DOI
Keywords: качество обслуживанияservice qualityURBAN PUBLIC TRANSPORTbuffer indexбуферный индексtransport system reliabilitytime indexGLONASS / GPS satellite navigation systemsгородской общественный пассажирский транспортнадежность транспортной системывременной индексспутниковые навигационные системы ГЛОНАСС/GPS
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