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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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Дыхание почв лесных экосистем юга Дальнего Востока

Почвоведение. 2023. № 9. С. 1023–1033.
Иванов А. В., Zamolodchikov D., Сало М. В., Клндратова А. В., Пилецкая О. А., Брянин С. В.

 The Far East has been and remains the part of Russia least studied with respect to carbon fluxes. We reviewed the results of in situ measurements of carbon emission from the surface of forest soils obtained at 26 points in the southern part of the Far East on the territory of 4 constituent entities of Russia. The measurements were taken in different forest formations (larch, cedar, oak, ash, and elm forests), including forests in the permafrost zone. Information on seasonal and daily dynamics of emission is presented. Equations are presented for 14 sites to estimate the emission from the air temperature of the nearest weather station. Annual fluxes vary by measurement points in the range of 5.5–10.1 t C/ha, with a maximum value in the old-growth cedar-fir forest of southern Primorye. The contribution of the summer season to the annual flux is 49–81%. In the western part of the territory under consideration (Buryatia), carbon emission from the soil surface strongly depends on soil temperature and moisture. In over moistened soils, the emission is significantly affected by the groundwater level (R2 = 0.42). In Primorye forests, the soil moisture factor ceases to have a significant effect on the emission. Discussion of the results in the context of modern studies in other regions shows comparability of the survey estimates and possibility of their use for analysis of global trends and regularities.

Research target: Earth Sciences Biology
Language: Russian
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Keywords: CO2 emissionsair temperatureтемпература воздухаSoil organic carbonsoil temperatureforest formationsэмиссия СО2органический углерод почвытемпература почвылесные формации
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