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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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Личностные характеристики волейболистов разного уровня спортивной квалификации в структуре психологической подготовки

Теория и практика физической культуры. 2025. № 6. С. 76–78.
Kostov F., Пономарев Г. Н., Фокин А. М., Андриянова В. Н.

Objective of the study was to determination of personal characteristics of student volleyball players depending on their level of athletic qualifications. Methods and structure of the study. Volleyball players from the teams of universities (n=30) took part in the research. The participants were divided into 3 groups of 10 people from the 2nd adult category to CMS. The main research methods were: «questionnaire of self-organization of activity (OSA)», «level of subjective control (LSC)», «Eysencks personality questionnaire» and a program test for a simple motor reaction. For statistical processing, the Mann-Whitney U-criterion was used. Results and conclusions. Significant differences have been established between volleyball players of different qualifications in terms of general self-organization, self-attitude to achievements, failures and health, as well as the speed of a simple motor reaction. These studies allow us to determine the targeted impact on the education of the individual within the framework of long-term sports training of volleyball players.

Research target: Psychology Health Studies Education
Language: Russian
Full text
Keywords: студентыstudentspersonal characteristicsперсональные характеристикиvolleyball playersВолейболисты
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