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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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Databases on the Properties of Substances and Computer-assisted Design of Inorganic Compounds

P. 469–480.
Kiselyova N. N., V.A. Dudarev, Stolyarenko A. V.

The virtually integrated distributed system of databases on the properties
of inorganic substances and materials of the A.A. Baikov Institute of Metallurgy
and Materials Science, Russian Academy of Sciences is considered. The
information-analytical system for automation of process of new inorganic compounds
computer-assisted design based on machine learning methods usage for
search for regularities in information of the databases on inorganic substances
and materials properties is discussed. The results this system application for compound
design that have not yet been synthesized are presented.

Language: English
Full text
Text on another site
Keywords: databasemachine learning and data miningInorganic Substance and Material

In book

Data Analytics and Management in Data Intensive Domains. Proceedings of the ХХI International Conference DAМDID/RCDL' 2019 (October 15–18, 2019, Kazan, Russia)
Ziganurova L., Shchur L. Kazan: Kazan Federal University, 2019.
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