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  • ПЕРСПЕКТИВНЫЙ МЕТОД УЧЕТА ЖИВОТНЫХ: НА ПРИМЕРЕ ТВЕРСКОЙ ОБЛАСТИ
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News
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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ПЕРСПЕКТИВНЫЙ МЕТОД УЧЕТА ЖИВОТНЫХ: НА ПРИМЕРЕ ТВЕРСКОЙ ОБЛАСТИ

Вестник Тверского государственного университета. Серия: Биология и экология. 2020. № 4(60). С. 55–60.
Zinoviev A., Мидоренко Д. А.

Here we outline a promising method for counting of animals, practiced on a White Stork in the Tver Region. The method implies audiovisual monitoring of nests using UAVs with entering data into a specially developed mobile GIS application, and subsequent visualization of data on the analytical panel of the web application.

Research target: Earth Sciences Biology
Language: Russian
Text on another site
Keywords: GISГИСmobile applicationsмобильное приложениегеографические информационные системыwhite storkбелый аистUnmanned aerial vehiclesspecies registrationБеспилотные летательные аппаратыGEOGRAPHICAL INFORMATION SYSTEMUAVSучёт видов
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The acoustic features of sincere joyful, sad, and fearful human non-verbal vocalizations and its effect on the emotional valence of cat’s meowing
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Commentary: Deep learning in obsessive-compulsive disorder: a narrative review
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Does Sound Timing Organization Matter? How Time Interval Influences the Perception of Closely Spaced Frequencies
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IEEE Conference on Serious Games and Applications for Health (SeGAH)
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HF Heating Effects as Seen From Below and Above: First Results of Joint SURA–Ionosfera-M Experiment
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This paper presents the first results of a coordinated experiment on the ionospheric plasma response to high-frequency (HF) overdense heating, conducted using the SURA heating facility and the Ionosfera-M satellite. The experiment combined ground-based observations with in situ satellite measurements, enabling a comprehensive study of artificial ionospheric disturbances. During the experiment, the SURA facility transmitted ...
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Hectometric Continuum Radiation Observations on Different Temporal Scales in Near-Earth Space
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