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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
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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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Movement-contingent electrotactile feedback improves tactile sensitivity and sensory recovery after stroke: a randomized preregistered and controlled trial

Journal of NeuroEngineering and Rehabilitation. 2026.
Volodina M., Ivanova G., Ivanova E., Ivanov T., Kirichenko A., Ossadtchi A., Tumialis A.
In press

Background

Somatosensory deficits affect most persons with stroke yet remain underdiagnosed and undertreated. Closed‑loop movement‑contingent sensory feedback may provide a scalable way to drive user‑dependent plasticity, improving hand sensation and the quality of life after stroke.

Methods

In this pilot randomized controlled trial, 20 adults in the recovery stage after ischemic or hemorrhagic stroke (≥ 1 month post‑onset) with impaired upper‑limb somatosensation were randomly allocated to an experimental group or control group. All participants continued standard physician-prescribed rehabilitation. Only the experimental group received a planned 10 sessions of an Active Touch Paradigm over 2 weeks (60 trials/session, 15–30 min; 9/10 completed all 10 sessions and 1 completed 8 because of earlier self-requested discharge from inpatient care); the control group did not receive a time-matched additional therapy dose. During training, participants used the affected index finger to scan pairs of invisible virtual textures on a tablet screen; each crossing of a virtual line triggered a single electrotactile pulse to the dorsum of the same finger, creating movement‑contingent electrotactile feedback. The primary outcome measure was tactile detection threshold at the trained index fingertip (Semmes–Weinstein monofilaments, evaluator size). The secondary outcome measures were tactile thresholds at the thumb and middle fingers of the affected hand, thresholds in a subset of ipsilateral digits, and upper‑limb motor and functional measures. The outcomes were assessed pre‑ and post‑intervention. Outcome assessors were not blinded.

Results

A significant Time × Group interaction was found for the affected index‑finger threshold (F(1,18) = 6.90, p = 0.017, partial η²=0.28). The experimental group improved from 5.34 ± 1.10 to 4.79 ± 1.30 evaluator size, whereas the control group changed from 4.82 ± 1.16 to 4.69 ± 1.15. No significant interactions were observed for thumb or middle‑finger thresholds, although a trend emerged for the thumb. Using North Coast sensory grades, 7/10 experimental participants versus 2/10 controls improved by at least one grade at the trained digit. Both groups improved over time on Fugl‑Meyer and Action Research Arm Test scores.

Conclusions

A brief, tablet‑based, movement‑contingent electrotactile training protocol selectively improved tactile sensitivity at a single trained digit after stroke without additional benefit on broader motor outcomes. The Active Touch Paradigm appears feasible, clinically practical, and specifically effective for post‑stroke tactile rehabilitation, warranting larger mechanistic trials and integration with task‑oriented upper‑limb training.

Trial registration

ClinicalTrials.gov. NCT06962397 (retrospectively registered on 30 April 2025).

Research target: Medical Technologies
Language: English
DOI
Text on another site
Keywords: post-stroke rehabilitationпостинсультная реабилитацияSensory rehabilitationTactile sensitivityElectrotactile stimulationUpper limb rehabilitationActive touch paradigmсенсорная реабилитациятактильная чувствительностьэлектротактильная стимуляцияреабилитация верхней конечностипарадигма активного касания
Publication based on the results of:
Multidisciplinary study of behavior and decision-making in health population and patients using behavioral, economic, neurocognitive, neuroeconomic, neurocomputational and neural network approaches (2025)
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