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  • Программная обработка терагерцовых тепловых изображений лица для выявления стабильных зон активации потовых желез под воздействием стресса
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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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Программная обработка терагерцовых тепловых изображений лица для выявления стабильных зон активации потовых желез под воздействием стресса

Цифровая обработка сигналов. 2026. № 3. С. 24–29.
Zhurin Y., Baksheeva K., Ozhegov R., Кинев Н. В., Кошелец В. П., Goltsman G.

This paper presents a software tool developed for processing terahertz thermal images of the human face acquired during a controlled psychophysiological experiment. In the experiment, a 500 GHz single-pixel detector combined with a two-mirror scanning system forms a sequence of low-resolution thermal frames (700×51 pixels) of the subject’s face while the person undergoes relaxation and stress-inducing cognitive and physical loads. The goal of the processing is automatic detection and interframe grouping of anomalous zones characterized by vertical low-frequency ripple, which are most frequently observed in the central forehead region above the eyebrows. The working hypothesis is that helical sweat ducts may alter the sub-terahertz response of skin under sympathetic activation; it motivates the choice of frequency band and the search for stable spatial zones. The program implements a practical heuristic multi-stage algorithm comprising dynamic-range normalization via histogram matching to a reference frame, construction of an inner face mask, bandpass filtering in the Fourier domain to enhance the characteristic ripple, morphological peak enhancement, connected-component detection of bright spots, and robust grouping of spots across frames into stable logical zones based on center proximity and area consistency. As a result, for each subject a compact set of non-overlapping logical zones is obtained and visualized as chronological collages containing both the original normalized thermal fragments and the corresponding ripple-enhanced patches. The results demonstrate robust extraction of stable spatial zones with the characteristic ripple (the central forehead zone is present in up to 100 % of frames) and provide a convenient visual tool for subsequent quantitative analysis.

Research target: Physics Electronics and Electrical Engineering
Language: Russian
Text on another site
Keywords: stressстрессцифровая обработка сигналовbandpass filterdigital signal processingFast Fourier Transformheuristic algorithmбыстрое преобразование Фурьеэвристический алгоритмterahertz imagingthermal imagessweat glandsтерагерцовая визуализациятепловые изображенияпотовые железыполосовой фильтр
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