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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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Русскоязычная версия опросника целей учебных достижений: разработка, валидизация и исследование функциональных возможностей

Психологическая наука и образование. 2021. Т. 26. № 5. С. 67–84.
Никитская М. Г., Uglanova I.

The paper presents results of a study (N=280) aimed at adaptation, modification and validation of the Russian version of the Achievement Goal Questionnaire based on the 3x2 model of Elliot’s achievement goal theory. We address the issue of the functionality of the application of the methodology in the study of the goals of educational achievements: in studies in general, or for a specific subject. The study shows that the adapted questionnaire demonstrates satisfactory psychometric properties in terms of reproducing the expected factor structure and functioning of individual statements of the questionnaire. According to the results obtained, the group of goals presented in the student’s learning activity differs in severity for different academic disciplines and for learning in general. According to the results obtained, the group of goals presented in the student’s learning activity differs in severity for different academic disciplines and for learning in general. We conclude that the questionnaire can be used for exploring the goals of educational achievements as for specific subjects, as for learning in general. A modified Russian version of the Achievement Goal Questionnaire based on the 3x2 achievement goal model is attached to the article.

Research target: Education Psychology
Language: Russian
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Keywords: учебная мотивацияvalidationlearning activityвалидизация learning motivationachievement goals in educationachievement goal theory учебная деятельностьцели учебных достижений теория целей достижения
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