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November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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The Health Workforce of the Russian Federation in the Context of the International Trends

NRU Higher School of Economics , 2016.
Sheiman I., Gerry C.
Having one of the highest physician-population ratios in the world, Russia – paradoxically – also faces shortages of physicians. This paper explores the reasons for this paradox through examining the structural characteristics of the Russian health workforce and its development. In comparing Russia with mainstream European countries and in particular the ‘new” EU countries we argue that the shortage of physicians is determined mostly by the prevailing model of health workforce development with its enduring emphasis on quantitative rather than structural indicators. First, the traditional perception of physicians as inexpensive health resources determines the long-term growth of their jobs – irrespective of the new opportunities for substitution and other structural innovations. Second, there is a persistent distortion in the composition of physician supply, of which the most important is the very low share and narrow remit of primary health care providers in comparison to European standards. Third, the international trends in the division of labor between physicians, medical nurses and allied health personnel are not followed in Russia with the result of an inevitable overburden of physicians, the reproduction of a large supply of physicians, while also the paradoxical shortage. Fourth, the system of professional development of physicians does not match international standards. Although with a substantial delay, Russia has now started transition to a workforce model focused on structural characteristics of human resources and so, in the final part of the paper, these new initiatives of the Government are critically assessed.
Research target: Basic Medicine Health Studies
Priority areas: state and public administration
Language: English
Full text
Keywords: Russiaphysicianshealth workforcehealth workforce policy health care systemsprimary care health reforms.
Publication based on the results of:
The transformation of the structure of the health workforce and motivation of medical personnel under the influence of economic, technological factors and state human resources policy (2016)
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