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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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Категория отчуждения в психологии образования: история и перспективы

Культурно-историческая психология. 2015. Т. 11. № 4. С. 79–88.
Osin E. N.

The paper focuses on the explanatory power and limitations of the concept of alienation in educational research. Psychological studies of the phenomena associated with alienation (burnout, extrinsic motivation, cynicism, etc.) are limited by the context of individual mind, whereas the concept of alienation refers to a set of processes unfolding at both individual and sociocultural levels. The paper demonstrates the heuristic possibilities offered by the cultural-historical activity approach to meaning and meaning regulation in the analysis of alienation phenomena. The author reviews the findings of empirical studies of alienation in education, as well as existing theoretical works discussing the genesis of alienation and ways to overcome it. According to these works, the ongoing growth of the body of human knowledge results in increasing alienation in the educational context, but individual activity aimed at finding the meaning of collective action and of one’s place in it may help to overcome the challenge of alienation. Despite being too abstract to serve as a tool for designing psychological studies, the category of alienation may be useful for their interpretation, helping to integrate psychological findings into the interdisciplinary context, in order to review and improve existing educational institutions and practices.

Research target: Psychology Education
Priority areas: sociology humanitarian
Language: Russian
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DOI
Text on another site
Keywords: система образованияучебная деятельностьlearning activityeducational systemвнешняя мотивацияpsychological burnoutпсихологическое выгораниеloss of meaningотчуждение студентов от учебыextrinsic motivationstudent alienationутрата смысла
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