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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
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At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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An efficient algorithm for the eigenvalue problem of a Hermitian quaternion matrix in quantum chemistry

Journal of Computational and Applied Mathematics. 2025. Vol. 463.
Guo Z., Jiang T., Wang G., Васильев В. И.

The introduction of quaternions in the quantum chemistry framework provides new ideas for solving some of the difficulties encountered in traditional approaches and is expected to expand the scope of quantum chemistry research. This paper investigates the eigenvalue problem of a Hermitian quaternion matrix by means of the complex representation of a quaternion matrix. This paper also gives an efficient algebraic algorithm for finding the eigenvalues and eigenvectors of a Hermitian quaternion matrix, which requires much less computational time than existing algorithms. This novel algorithm provides an algebraic method for quantum chemistry research and is expected to have potential applications in large-scale molecular structure prediction and reaction mechanism studies.

Research target: Mathematics
Language: English
Full text
DOI
Keywords: efficient algorithmquantum chemistryeigenvalue problemHermitian quaternion matrixcomplex representation
Publication based on the results of:
Кватернионы, геометрические алгебры и приложения (2026)
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