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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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Vulnerable sides of cities aiming for carbon neutrality: contribution of wastewater treatment plants and landfill sludge disposal to greenhouse gas emissions

Environmental Science and Pollution Research. 2026. Vol. 33. No. 8. P. 3252–3265.
Dregulo A.

The present study focuses on greenhouse gas emissions from wastewater treatment and sewage sludge disposal at landfill. Traces of ammonium, dihydrosulfide, phenol, formaldehyde, various hydrocarbons, and mercaptans have been identified. The dynamics of these gases are especially intense during the purification process from grids to aerotanks. Methane concentrations fluctuated more than sixfold in the wastewater treatment cycle, while methane concentrations exceeded those of other compounds by more than 40–100 times. Greenhouse gas emissions from sewage sludge landfills were observed 10 years after cessation of unstable sludge disposal. The highest emissions occurred in the summer and autumn, accounting for up to 50% of annual emissions. The detected traces of pollution in the air near the border of the sanitary protection zone showed an increase in dihydrosulfide concentrations exceeding the maximum permissible concentrations (MPC). Results provide new insights into improving mechanisms for reducing greenhouse gas emissions both inside and outside the treatment plant site and for monitoring these emissions.

Research target: Effective Natural Resource Management Social and Economic Geography (including Urban and Transportation Studies) Earth Sciences
Language: English
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DOI
Text on another site
Keywords: air pollutiongreenhouse gasesurban climatesewage sludgelandfillurban wastewater treatment facilities
Publication based on the results of:
Socio-political, economic and ecological-climatic factors of sustainable development of territories in the context of global challenges (2025)
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