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  • Численное исследование обтекания наконечников костяных стрел с городища Черновское I
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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Численное исследование обтекания наконечников костяных стрел с городища Черновское I

Вестник Пермского университета. Серия: Физика. 2025. № 2. С. 66–74.
Мингалев С. В., Mingalev V. V.

The article is devoted to the application of computational fluid dynamics to the study of bone arrowheads from the Chernovskoye I settlement (2nd-7th centuries AD) in the Krasnokamsk urban district of the Perm region. The obtained values ​​of the form drag coefficients allow dividing the arrowheads into two groups: with values ​​from 0.122 to 0.131 and with values ​​from 0.161 to 0.221 (the incoming flow velocity is 50 m/s). The second group includes arrowheads with visible defects, for which the value of this aerodynamic coefficient is greater than 1.78. At the same time, since asymmetry and curvature (interpreted as defects) change continuously, the above boundary cannot be precisely fixed. In order to assess the influence of the aerodynamic wake behind the arrowhead (which is absent when it is connected to the shaft), the normalized drag force acting on the arrowhead up to the midsection was also calculated. The values ​​of this quantity show the same relationship with the presence of defects in the tip as in the case of the form drag coefficients. At the same time, the division into two groups is not preserved. Thus, the value of the form drag coefficient can be used mainly for ranking tips by the quality of their manufacture. Also in this study, an assessment was made of the error in determining the values ​​of the form drag coefficient, associated with the fact that the accuracy of the results obtained by computational gas dynamics methods strongly depends on how well the computational grid resolves the flow and the surface of the streamlined body; in this study, for an incident flow velocity of 50 m/s, its average value was 2%, and the maximum was 7%.

Research target: Physics History and Archeology
Language: Russian
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Keywords: археологияarcheologybone arrowheadcomputational aerodynamicsвычислительная аэродинамиканаконечники стрел
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