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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
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The Crimean Conflict on Russian and Ukrainian TV: A Discourse-Theoretical Approach

2021. No. 6.
Semykina K.
The paper explores discourses on Russian and Ukrainian television related to the Crimean conflict of 2014. Laclau and Mouffe’s discourse theory serves as a theoretical framework of the study. The study contributes to academic debates on two levels: on a substantive level, it provides insights into the logic of the Crimean conflict; on the methodological level, it suggests the method of corpus-assisted semantic network analysis for empirical analysis in discourse-theoretical studies. News reports devoted to events in Crimea on a Russian TV channel Channel 1 and a Ukrainian TV channel Inter, which were broadcasted from 28.02.2014 to 16.03.2014 served as empirical data for the study. In total, 390 news reports, accounting to 19 hours and 20 minutes of coverage, were analyzed. The analysis showed that the Russian channel’s discourse emphasized decision-making processes in Crimea, Crimean residents and Russian-speaking population of Ukraine, as well as Ukraine’s relations with the West. Ukrainian channel’s discourse emphasized military actions in Crimea and Russia’s involvement in the events in the region. Both sides’ interpretations were based on hegemonic discursive constructions: it was anti-Westernism for the Russian discourse, and ‘Russia as a potential enemy’ for the Ukrainian discourse. At the methodological level, the method of corpus-assisted semantic network analysis proved useful for empirical research in a discourse-theoretical study. It allowed to analyze an extensive corpus of texts and make conclusions about prominent patterns in discourses based on parameters of semantic networks.
Priority areas: sociology humanitarian
Language: English
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Keywords: RussiaUkraineCrimeasemantic network analysisdiscourse theory
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