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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Эффективность перемещения предмета в зависимости от его ориентации в пространстве: кинематический анализ моторного планирования и выполнения

Нервно-мышечные болезни. 2024. Т. 14. № 3. С. 38–53.
Viazmin A., Ragimova A., Си Г. Л., Бехера С. К., Shevtsov O., Feurra M.

Background. Grasping objects with the hand is one of the most common movements in everyday life. It requires training involving the cognitive processes of goal selection and motor planning.
Aim. To investigate the effect of object rotation on motor planning using an experiment where participants moved abstract objects that sometimes required rotation, and movement was assessed using a kinematic analysis system. We hypothesized that reaction times and movements would be longer for tasks with rotation.
Materials and methods. Sixteen subjects participated in the study (11 females and 5 males), mean age – 23.375 ± 2.277 years. Participants were required to perform a task of moving 4 abstract objects onto corresponding platforms with their right hand, while periodically rotating the object by 90°, 180°, or 270°. The motion tracking system monitored the movement oftrackerslocated on the subject’srightthumb and index finger, on the subject’srightwrist, and on the object and the subject’s special glasses.
Results. To assessthe effect of objectrotation on motor planning, the data were grouped according to the angle of rotation. A one-factor analysis of variance with repeated measures was used. The resultsshowed statistically significant differences: · total movement time as a function of turning angle: F(3.45) = 5.014, p = 0.004; · time to reach the grasping target: F(3.45) = 61.79, p = 0.001; · object motion time: F(3.45) = 14.641, p = 0.001; · time to reach maximum capture aperture: F(3.45) = 8.559, p = 0.001.
Conclusion. Overall, our results support the hypothesis that object rotation during movement affects both the preparation and execution of the movement itself. The planning and executing the movement with the object rotated 180° was easier and faster than with 90° and 270° rotations. The testing allows distinguishing the stages of planning and preparation of the movement from the execution of the movement itself. Using this approach in patients with central nervous system lesions helps to assess and monitor the state of motor function, which is important for monitoring the recovery process.

Research target: Basic Medicine Biology Psychology
Language: Russian
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Keywords: motor planningмоторное планированиеKinematic analysisHand graspingкинематический анализзахват кистью
Publication based on the results of:
A Multidisciplinary Study of the Human Brain: Behavioral, Psychophysiological and Mathematical Approaches to Cognitive Functioning (2024)
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