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News
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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An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Liquidity as a measure of company risks: assessment and management principles. The evidence of the russian metallurgical industry

Ch. 118. P. 957–964.
Makarova V. A., Skobeleva Inna

The aim of our research is to present an approach to systemic liquidity management of the company. We study patterns of liquidity management that reflect the requirements of the relationship between strategic and current financial management, the interaction of liquidity risk and profitability as the core of added value creation, as well as the tools for their implementation. The econometric toolkit was aimed at identifying threshold points in the joint dynamics of liquidity and profitability with the identification of ranges of positive and negative nature of their interaction. The result of theoretical research was tested on the example of Russian metallurgical industry. The analysis revealed that metallurgical industry is characterized by a lower liquidity threshold, as well as profitability. However, in the framework of this study, all the tasks have been accomplished. A possible direction for future research in this field is the use of comprehensive approach to the study of liquidity management in order to understand which combination of tactic and strategic action enables liquidity management to be expedient for the company.

Language: English
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Keywords: управление ликвидностьюriskliquidityliquidity managementриск менеджмент

In book

Conference Proceedings. 5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Conference Proceedings. 5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Vol. 5: Finance, economics and tourism. Issue 1.3: Modern science. , Sofia: STEF92 Technology Ltd., 2018.
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