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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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Компактные эквивалентные схемы дискретных пассивных элементов РЭА для расчета частотных характеристик схем на печатных платах в УВЧ диапазоне

Известия высших учебных заведений. Электроника. 2026.
Petrosyants K. O., Казачков А. О., Кремлёв И. Е.
In press

The paper considers compact equivalent circuits of passive elements – chip resistor, chip capacitor and chip inductor, taking into account parasitic effects in the UHF frequency range while modeling electronic equipment units using SPICE-like circuit simulators. The technique for measuring the S-parameters of passive elements by a vector network analyzer using test PCB is considered. Usage of test PCB with calibration structures allows you to eliminate parasitic components of cable assemblies, coaxial-microstrip connectors and transmission lines. The paper describes a method for extracting parameters of the proposed compact equivalent circuits using a procedure for recalculating measured S-parameters into Y-parameters, from which the values of R, L, C elements are determined using formulas. The validation of compact models is illustrated by the example of a bandpass filter circuit with a calculated bandwidth from 100 MHz to 150 MHz.

Research target: Electronics and Electrical Engineering
Language: Russian
Keywords: СВЧ электроникаSPICE-моделированиеSPICE modelingUHF
Publication based on the results of:
Methods and tools for the development and implementation of digital twins for electronic engineering (2025)
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