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News
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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Долгосрочный прогноз компенсаторной миграции в России

Журнал Новой экономической ассоциации. 2023. № 1(58). С. 48–64.
Yumaguzin V., Vinnik M. V.

The population of Russia was declining since 2018 due to the growth of natural loss and the uneven dynamics of net migration, which only partially compensated for it. In the short term, even the most favorable scenario of Russia’s demographic development, which provides for high levels of fertility, life expectancy and migration, leads to a decrease in the population from the current 146.2 to 145.2 million persons in 2026, and only after that point, a growth can be expected. According to the medium and low options, the population will decrease to 137.5 and 84.4 million persons respectively by the end of the century. This makes necessary to calculate a level of the replacement migration, which would compensate the natural decline and maintain the current population of Russia. The cohort- component method was used in forecasting, the population as of 01.01.2021 was taken as the base. Depending on various scenarios of fertility and mortality, the level of annual replacement migration growth in 2021–2023 should correspond to 460–1200 thousand persons, which is 2–6 times higher than suggested by the average, most realistic, migration scenario. The value is also 1.5–4.5 times higher than in high migration scenario. After that, the urgency for replacement migration decreases and from the 2040s, according to the average variant, the net migration will correspond to the upper, optimistic, migration scenario (450–500 thousand persons), which implies a greater probability of achieving it. In 2077, the level of replacement migration intersects with the average scenario of net migration (250 thousand persons), and in the period 2084–2100 corresponds to the lower scenario (60–70 thousand persons). According to the high variant, the level of replacement migration is rapidly decreasing due to a signifi cant increase in fertility and life expectancy and since the late 2030s even in the case of migration decline the population would not shrink. With negative trends of natural movement in the low variant, the level of required replacement migration throughout the forecast period is extremely high and unlikely, 1–1.2 million persons annually, which indicates the impossibility of stabilizing the population in this variant. Higher levels of immigration make possible to recoup the growth of the demographic burden only in the medium term, subsequently, the aging of the arrived contingents of migrants leads to an increase in the demographic burden of the elderly. Thus, to preserve the population, it is necessary to fi nd a balance between relatively easy-to-manage migration fl ows and solving fundamental issues in the fi eld of reducing mortality and creating favorable conditions for the birth of the desired number of children in families.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
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Keywords: численность населенияpopulation sizeзамещающая миграцияdemographic burdenдемографическая нагрузкадемографический прогнозdemographic forecastcompensatory migrationreplacement migrationкомпенсаторная миграция
Publication based on the results of:
Spatial measurement of demographic dynamics in Russia: long-term and short-term changes in the diversity of human reproduction regimes, migration and demographic structures of the population at the regional level (2022)
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