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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.
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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Ислам и предпринимательство в России

Журнал социологии и социальной антропологии. 2009. Т. XII. № 1. С. 32–51.
Susokolov A.

The article contains comparison between social-psychological profiles of the confessional groups of Russia (Muslims, Christian Orthodox, Jews) and content of canonical texts of these religions (in particular, Laws of Shariah). Psychological types and social norms are analyzed on the bases of the Russian urban sampling (2002-2004), using the KOMPASS methodology. The impact of historical conditions of the development of confessional groups on the norms of their market relations (especially containing in the Shariah) are considered. The data shows that such psychological types, as "innovators" and "socially responsible" are predominant among Muslims. The "organizational capability" is of high value among Muslims too. According to J. Shumpeter's conception, it is not profit, but those three aspects are of main importance in relation to "The Enterprising function" for any society. The author makes a suggestion, that some aspects of economical doctrine of the classic Islam could be more effective for dissolving the modern global crisis, than the remedies proposed by the liberal model of the world economics.

Research target: Psychology Economics and Management Sociology (including Demography and Anthropology
Priority areas: economics sociology humanitarian
Language: Russian
Full text
Text on another site
Keywords: предпринимательстворелигияeconomicsисламШариатreligionislamsocial normsсоциальные нормыshariahenterprisingpsychological typesпсихологические типы
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