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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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Modeling Integral Financial Stability Index: A Cross-Country Study

NRU Higher School of Economics , 2014. No. WP BRP 75/EC/2014.
Арзамасов В. Ю., Penikas H. I.
The recent global financial crisis significantly affected world economies and revealed a problem of the clear financial stability measures absence. The construction of an integral index is highly desirable to track the financial stability level over time and diminish the probability of financial instability through the recognition of its sources. The novelty of the current research is that such an index is being built for various countries at the same time and the quantitative measures are being introduced to select the best model by comparing the behavior of different models with the benchmark. It was shown that data non-stationarity plays a significant role in the best predictors’ selection. Therefore, the best model is that built on the first differences of initial indicators. The best model contains “Return on Assets” and “Regulatory Capital to Risk-Weighted Assets” as financial stability predictors
Priority areas: economics
Language: English
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Keywords: панельные данныеfinancial stabilityрегрессияearly warning systemфинансовая стабильностьintermodulation distortions (IMD)integral indexинтегральный индексeconomic resilience
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