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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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Анализ влияния ошибки юстировки анализатора дифференциального фазового поляриметра на параметры информативного сигнала

Автометрия. 2024. Т. 60. № 5. С. 77–83.
Голополосов А. А., Yurin A., Вишняков Г. Н., Minaev V.

The purpose of this work is to improve the accuracy of measurements of the optical rotation angle (ORA) by analyzing the effect of the adjustment error of the differential phase polarimeter analyzer. The paper presents a scheme of a differential phase polarimeter used for the study of optically active substances. To analyze the effect of the alignment error of the rotating analyzer on the ORA measurements results, mathematical modeling of the process of forming an informative signal in the presence of a deviation from the perpendicular plane of the analyzer relative to the axis of radiation propagation is applied. The results of the study of the influence of the adjustment error on the accuracy of restoring the phase difference of two harmonic signals are presented. The results obtained make it possible to develop requirements for the adjustment of the elements of the differential phase polarimeter to increase the accuracy of the ORA measurements.

Research target: Engineering and Technology Electronics and Electrical Engineering
Language: Russian
DOI
Text on another site
Keywords: Математическое моделирование физических процессовполяриметрияpolarimetryharmonic signal analysisанализ гармонических сигналовmathematical modeling of physical processes
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