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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.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
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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Влияние ESG-принципов на эффективность бизнеса в странах с различной интеграцией в мировое хозяйство

Псковский регионологический журнал. 2024. Т. 20. № 2. С. 42–63.
Ryabova E., Rossokhin V. V.

This study is designed to help companies in developing countries understand the importance of implementing sustainable development initiatives, assess the impact of the company's adherence to the ESG agenda on operational efficiency and understand the attitude of investors towards its implementation through strategic efficiency.

The company's ESG rating (ESG Combined Score) was used as an indicator of sustainable development compliance. In the study, company data from Brazil, China, India, Russia, Indonesia, Mexico, South Africa, and Turkey has been used for the period from 2014 to 2020.

The sample is unbalanced panel data. Regression analysis was carried out on a sample of each country to analyze the supposed regional features, which were later confirmed.

The results obtained indicate a significant increase in interest in the sustainable development agenda on the part of developing countries, and a significant and negative impact of ESG rating on strategic performance only for companies in Mexico and Turkey. In all other cases, the results are not significant. A significant and negative impact of the ESG rating on operational efficiency is observed among companies in China and Russia, and a positive impact – among companies in Turkey. For the most part, resource-based theory has been confirmed and investors are taking into account the socially responsible behavior of companies in countries that are most strongly integrated into the global economy.

The results may be of interest to emerging markets equity investors.

Research target: Economics and Management
Language: Russian
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Text on another site
Keywords: корпоративная социальная ответственностьрыночная стоимость компаниистратегическая эффективность компанииstrategic corporate performancemarket value of the companyESG ratingESG-рейтингCorporate social responsibility (CSR)operational performance of companiesоперационная эффективность компаний
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