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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.
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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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Do SMEs have an ESG communication strategy? Exploring the quality and influencing factors of voluntary ESG disclosures using web-based and annual report channels

Business Strategy and the Environment. 2025. Vol. 34. No. 1. P. 1267–1286.
Cardoni A., Evgeniia Kiseleva

This paper evaluates the influencing factors and disparities between web-based and annual report channels for environmental, social and governance (ESG) disclosures by small and medium-sized enterprises (SMEs). In contrast to the prevalent use of case-studies in the context of SMEs, a quantitative study was conducted by performing a content analysis of the websites and annual reports of 100 manufacturing SMEs in Italy. Based on the collected evidence, SMEs exhibited a higher level of web-based disclosures compared to annual reports. These disclosure channels appear to be independent of each other, with financial resources significantly influencing the quality of annual reports (i.e. profitability as a proxy) and size impacting information available on websites (i.e. turnover as a proxy). Both channels may be explained by the resource-based view, while agency characteristics (such as having a Big Four external auditor or board size) have a relevant effect on the overall voluntary ESG disclosure score.

Research target: Economics and Management
Language: English
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Keywords: SMEМСПустойчивое развитие бизнеса ESG
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