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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 Impact of CEO-Employee Pay Gap on Firm Innovativeness

Journal of Corporate Finance Research. 2026. Vol. 20. No. 2. P. 41–57.
Cherkasova V. A., Postavets V.

This study investigates the impact of the CEO-employee pay gap on firm innovativeness, defined as a company’s ability to generate economic value from its R&D activities. While prior research has focused on financial performance, the effect of vertical pay dispersion on innovation outcomes remains underexplored, particularly in developed European and Asian markets. Using a sample of public 362 companies from technology-intensive and non-technology-intensive industries over the 2012–2022 periods, we employ the Research Quotient (RQ) as output-elasticity-based measure of innovativeness. Our panel data analysis reveals three main findings. First, the CEO-employee pay gap has a significant negative net effect on firm innovativeness, supporting social comparison and pay equity theories over tournament theory. Second, this rela tionship is moderated by industry and regional contexts: the negative impact is less pronounced in technology-intensive industries and among firms located in developed Asian countries, where collectivist cultural norms may foster long-term orientation and tolerance for hierarchical differences. Third, we document an indirect moderating effect whereby the pay gap dampens the positive relationship between employee pay growth and firm innovativeness. Our results are robust to fixed-effects specifications and various sensitivity checks. These findings have important implications for corporate gov ernance, compensation design, and investment analysis, suggesting that optimal incentive structures must balance CEO incentives with rank-and-file motivation to foster sustainable innovation.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: employeetournament theory pay gapfirm innovativeness CEO research quotientpay equity theory
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