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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
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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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Социальный капитал как основной фактор развития в рамках сценарного прогнозирования экономики

С. 18–19.
Kareva D.
Language: Russian
Keywords: сценарное прогнозирование экономики

In book

Материалы 54-й международной научной студенческой конференции МНСК-2016
Новосибирск: Новосибирский национальный исследовательский государственный университет, 2016.
Similar publications
Self-adaptive Intelligent System for Mass Evaluation of Real Estate Market in Cities
Alexeev A., Alexeeva I., Yasnitsky L., , in: Advances in Intelligent Systems and ComputingVol. 850: Digital Science.: Switzerland: Springer, 2019. P. 81–87.
This article is devoted to the method of creating an intelligent neural network system. Unlike existing similar systems, the proposed system does not require frequent updates, because it is able to adapt itself to the constantly changing state of the economy and to the peculiarities of a particular region. Besides, the proposed system allows performing scenario forecasting of regional real ...
Added: January 10, 2019
Долгосрочное сценарное прогнозирование российской экономики на основе экспертно-статистического байесовского подхода
Kareva D., В кн.: Мы продолжаем традиции российской статистики: сб. докладов международ. научно-практ. конф "1 Открытый российский статистический конгресс" (Новосибирск, 20-22 октября 2015 г.): в 4 т.Т. 3: Статистические измерения в социальных и гуманитарных науках.: Новосибирск: НГУЭУ, 2016. С. 676–677.
The actuality of scenario forecasting of economy of Russia is stipulated by the importance of timely assessment of the situation in the country and crisis prevention actions. The goal of the researchis definition of outlook for the development of economy of Russia on the basis of scenario forecasting. The basis of the expert and statistical ...
Added: November 15, 2017
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