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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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Dark Counts Studied with Spatial Resolution, IEEE Transactions on Applied Superconductivity

IEEE Transactions on Applied Superconductivity. 2023. P. 1–5.
Goltsman G., Александр С.

We investigate dark counts in SNSPD with spatial resolution, using nanostrip-patterned devices with 50 Ohm matched coplanar waveguide - tapers. We found that the dark counts originate from one or several points along the strip, which we call 'weak points'. We found that the dark counts originating from different points can have different dependence of the rate on the temperature, such as the point which makes the main contribution to the dark counts rate at low temperature, makes just a minor contribution or even disappears at higher temperature. We explain this in terms of different realizations of random local environments of different ‘weak points’. Then we tilt the distribution of supercurrent density with a weak perpendicular magnetic field and find that the evolution of count rates generated at different ‘weak points’ is consistent with the suggestion that these ‘weak points’ are located at the edges of the strip. All our findings agree with the picture of fluctuating vortex entry through the minima of the order parameter at the edge of the strip as the origin of dark counts in SNSPD.

Language: English
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Keywords: temperature distributionfluctuationstemperature measurementsuperconducting filmssuperconducting single-photon detector (SSPD)current measurementTransmission line measurements
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