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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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Modelling Stochastic and Deterministic Behaviours in Virus Infection Dynamics

Mathematical Modelling of Natural Phenomena. 2017. Vol. 12. No. 5. P. 63–77.
Kelbert M., Sazonov I., Bocharov G., Grebennikov D.

Many human infections with viruses such as human immunode ciency virus type 1
(HIV{1) are characterized by low numbers of founder viruses for which the random effects and
discrete nature of populations have a strong effect on the dynamics, e.g., extinction versus spread.
It remains to be established whether HIV transmission is a stochastic process on the whole. In
this study, we consider the simplest (so-called, 'consensus') virus dynamics model and develop a
computational methodology for building an equivalent stochastic model based on Markov Chain
accounting for random interactions between the components. The model is used to study the
evolution of the probability densities for the virus and target cell populations. It predicts the
probability of infection spread as a function of the number of the transmitted viruses. A hybrid
algorithm is suggested to compute efficiently the dynamics in state space domain characterized
by a mix of small and large species densities.

Research target: Basic Medicine Health Studies Mathematics
Priority areas: IT and mathematics
Language: English
Full text
DOI
Text on another site
Keywords: discrete Markov process with continuous timeepidemiology
Publication based on the results of:
Вероятностные и статистические методы анализа сложных моделей, задаваемых стохастическими дифференциальными и разностными уравнениями (2017)
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