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Subject
News
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.

 

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Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital Economics

Vol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics. Switzerland : Springer, 2020.
Academic editor: Z. Hu, S. Petoukhov, M. He

This book comprises high-quality, refereed research papers presented at the 2019 International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2019): The symposium, held in Moscow, Russia, on 4–6 October 2019, was organized jointly by Moscow State Technical University and the International Research Association of Modern Education and Computer Science. The book discusses the state of the art in areas such as computer science and its technological applications; intelligent systems and intellectual approaches; and digital economics and methodological approaches. It is an excellent reference resource for researchers, undergraduate and graduate students, engineers, and management practitioners interested in computer science and its applications in engineering and management.

Chapters
Optimal Real-Time Image Processing with Imperfect Information on Convolution-Type Distortion
Golubtsov P., , in: Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital EconomicsVol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics.: Switzerland: Springer, 2020. Ch. 24 P. 259–273.
We study a problem of designing an optimal two-dimensional circularly symmetric convolution kernel (or point spread function (PSF)) with a circular support of a chosen radius R. Such function will be optimal for estimating an unknown signal (image) from an observation obtained through a convolution-type distortion with the additive random noise. This technique is then ...
Added: March 15, 2020
Scalability and Parallelization of Sequential Processing: Big Data Demands and Information Algebras
Golubtsov P., , in: Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital EconomicsVol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics.: Switzerland: Springer, 2020. P. 274–298.
Procedures of sequential updating of information are important for “big data streams” processing because they avoid accumulating and storing large data sets. As a model of information accumulation, we study the Bayesian updating procedure for linear experiments. Analysis and gradual transformation of the original processing scheme in order to increase its efficiency lead to certain ...
Added: March 16, 2020
Research target: Economics and Management Nanotechnologies Medical Technologies Mechanics and Mechanical Engineering Electronics and Electrical Engineering Biology Physics Computer Science Mathematics
Priority areas: economics IT and mathematics business informatics mathematics engineering science
Language: English
DOI
Text on another site
Keywords: искусственный интеллектинтеллектуальные системыцифровая экономикаartificial intelligence computer sciencedigital economyIntelligent SystemsИнформатикаCSDEIS2019CSDEIS
Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital Economics
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