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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Universal Scaling of Thin Current Sheets

Geophysical Research Letters. 2020. Vol. 47. P. 1–10.
Zelenyi L. M., Malova H. V., Grigorenko E. E., Popov V., Dubinin E. M.

Thin current sheets (TCSs) with thicknesses about ion Larmor radii are widespread in space. It
is important to describe their equilibrium structure allowing them to store and then explosively release the
accumulated free energy. When ions are moving along quasi‐adiabatic trajectories while magnetized
electrons follow guiding center drift orbits, TCSs can be described within the framework of a hybrid
approach. The thickness of the embedded electron sheet remains uncertain because of the scale‐free
character of electron motion. In this work, we propose a novel analytical model of the multilayer TCS that
provides a universal expression describing the inner (embedded) electron sheet in dependence of TCS
characteristics. An unusual property of the embedded electron layer revealed in this analysis is the nonlinear
profile of the magnetic field in the inner layer: B(z) ~ z1/3, which conforms excellently with MAVEN
observations of 43 TCSs in the Martian magnetotail.

Research target: Computer Science Physics
Priority areas: IT and mathematics business informatics
Language: English
DOI
Text on another site
Keywords: scalingthin current sheets
Publication based on the results of:
Construction of mathematical models and numerical methods designed for the application of synchronization to prediction of complex systems (2020)
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