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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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Медиаобраз и политический имидж: закономерности корреляции двух конструктов

Научные исследования и разработки. Современная коммуникативистика. 2019. Т. 8. № 5. С. 63–68.
Yefanov A.

The article examines the phenomenon of media image and political image. The material for the study was the media representation of V. Zhirinovsky and K. Sobchak as candidates for the presidency of Russian Federation in the fields of television (in the information and socio-political programs of First Channel, ARTRBC (“Russia 1”, “Russia 24”), NTV, “RenTV”, Fifth Channel, “TV Center”) and the Internet (materials of news portals “RIA News”, “REGNUM”, “TASS”, “Interfax”, “Izvestia”, “Vedomosti”, “Meduza”; posts in social networks “VKontakte”, “Facebook”). The methods of contentanalysis, intent-analysis (through the system “Medialogia”), secondary data analysis - the results of sociological studies of All-Russian Public Opinion Research Center (ARPORC), Public Opinion Foundation (POF), Levada Center and the presidential elections in Russia. Chronological framework of the study: November 2017 - March 2018. The author comes to the conclusion about the existence of interdependence and conditional identity of the phenomenon of political image and media image, which influence the construction of each other. At the same time, excessive mediatization of political actors (outside the respective ritualized locales and contexts) leads to their self-discredit - the loss of the “credibility” of both the potential and the real electorate.

Research target: Media and Communications Political Science, International Relations, and Public Administration
Priority areas: humanitarian
Language: Russian
Text on another site
Keywords: публичная политикаpublic policyполитический имиджpolitical imageмедиатизация политикиmedia imageшоу-политикаmediatization of politicsshow policyмедиаобраз
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