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July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Evolutionary Adaptation of the Permanent Replicator System

P. 1–7.
Bratus A., Drozhzhin S., Yakushkina T.

In this paper, we examine the process of fitness landscape evolution of permanent replicator systems. The central hypothesis of this study is that the specific time of the evolutionary adaptation of the system parameters is much slower than the time of internal evolutionary dynamics. This assumption leads to the fact that evolutionary changes of the system parameters happen in a steady-state of the corresponding dynamical system. To solve this problem, we propose an algorithm such that it is reduced to a linear programming problem at each step. Moreover, we assume that the resources of the system are limited: we formalize it as a restriction on the fitness matrix coefficients.

Language: English
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Keywords: mathematical modellingevolutionary algorithms

In book

Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment. Selected Works from the BIOMAT Consortium Lectures, Szeged, Hungary, 2019
Springer, 2020.
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