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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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Reliability and Statistics in Transportation and Communication: Ecosystems for Smart Connectivity and Intelligent Mobility. Selected Papers from the 25th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat-2025, October 16–18, 2025, Riga, Latvia

Issue 1822. Switzerland : Springer Publishing Company, 2026.
Academic editor: I. Kabashkin, I. Yatskiv (Jackiva), O. Prentkovskis

In this volume of “Lecture Notes in Networks and Systems” we are pleased to present the proceedings of the 25th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication” (RelStat-2025), which took place in hybrid form in Riga, Latvia on October 16–18, 2025. This event belongs to a con ference series started in 2001 and organized annually by the Transport and Telecommu nication Institute (TTI) in Riga, Latvia. The mission of RelStat is to promote a more comprehensive approach supporting new ideas, theories, technologies, systems, tools, applications, as well as work in progress and activities on all theoretical and practical issues arising in transport, information and communication technologies. Results of pre vious editions RelStat were published by TTI Publishing House (RelStat 2001–2015) in the journal “Transport and Telecommunication” (ISSN 1407-6160), by Elsevier in the “Procedia Engineering” (RelStat 2016) and by Springer in “Lecture Notes in Networks and Systems” volume 117 (RelStat 2019), volume195 (RelStat 2020), volume 410 (Rel Stat 2021), volume 640 (RelStat 2022), volume 913 (RelStat 2023) and volume 1337 (RelStat 2024).

Chapters
Improving the Inventory Management Efficiency Based on the Fill Rate Assessment and the Safety Stock Level
Lukinskiy V., Vladislav Lukinskiy, Bazhina D. et al., , in: Reliability and Statistics in Transportation and Communication: Ecosystems for Smart Connectivity and Intelligent Mobility. Selected Papers from the 25th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat-2025, October 16–18, 2025, Riga, LatviaIssue 1822.: Switzerland: Springer Publishing Company, 2026. P. 327–337.
To enhance the efficiency of supply chain management, it is essen tial to reduce safety stock levels without compromising product availability. To achieve this objective, it was proposed to evaluate effectiveness of managerial decisions based on fill rate calculations. Fill rate is a common measure of the cus tomer service performance of inventory and is ...
Added: May 25, 2026
Research target: Economics and Management
Language: English
Full text
DOI
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Keywords: statisticsreliabilitytransportation
Reliability and Statistics in Transportation and Communication: Ecosystems for Smart Connectivity and Intelligent Mobility. Selected Papers from the 25th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat-2025, October 16–18, 2025, Riga, Latvia
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The article presents methodological approaches to organizing and conducting comprehensive statistical monitoring of the development and application of artificial intelligence (AI) technologies. The relevance of this topic is driven by the high significance of AI technologies for the economy and society, and their recognition as one of the leading technologies of the current decade, both globally ...
Added: November 11, 2025
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Added: November 7, 2025
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