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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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Адаптация и развитие производителей молока в новых экономических условиях

Молочное и мясное скотоводство. 2020. № 6. С. 3–7.
Pajurova E., Суровцев В. Н.

The article analyzes the problems in the Russian milk and dairy products market in the context of the global economic crisis. An assessment of new opportunities and threats to the development of the industry was carried out: on the part of consumers – rising food prices, lower incomes; from the perspective of dairy producers –  reduction in purchase prices, increased requirements for raw materials for the production of products with extended periods, labor shortages, the likely reduction in state support as a result of lower prices for hydrocarbons, attempts to regulate prices; on the part of processing enterprises – reduction of demand, reduction of prices for finished goods following world prices. The investment priorities in dairy cattle breeding and the main forms of improving state support for the industry, ensuring the effective adaptation of milk producers to new economic conditions, increasing the sustainability of the industry with increasing macroeconomic risks, are substantiated.

Research target: Livestock and Dairy Farming Agriculture, Forestry, and Fisheries
Priority areas: economics
Language: Russian
DOI
Text on another site
Keywords: state supportdairy farmingagricultural exportsгосударственная поддержка аграрного сектораагропродовольственный экспортмолочное скотоводствоCOVID-19 pandemicпандемия COVID-19
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