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August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.
August 18, 2026
HSE Scholar Presents Research on Postcards in Brazil and South Korea
Timur Khusyainov, Deputy Dean of theFaculty of Humanities atHSE University–Nizhny Novgorod, took part in two international conferences—the XVI World Congress of Rural Sociology in Porto Alegre, Brazil, and the 36th Annual Conference of the Alliance of Digital Humanities Organisations (DH2026) in Daejeon, South Korea. On his way to the conferences, the researcher also visited several other places, where he presented the experience of the Pochtovoe educational project.
August 18, 2026
Physicists Discover What Happens Inside a Stable Vortex
Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.

 

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Построение алгоритмов поиска и устранения дефектов пассажирских воздушных судов гражданской авиации

Вестник Московского авиационного института. 2022. Т. 29. № 2. С. 158–165.
Maron A., Maron M.

The relevance of this work is due to the fact, that reducing the time of searching and the time for eliminating defects in civil aviation passenger aircraft can significantly reduce departure delays and the associated losses of airlines. The analysis of statistical data shows that the searching and eliminating defects are the dominant causes of delays in civil aviation aircraft. At the same time, 90% of the time falls on the search for defects. Modern aircraft are equipped with on-board diagnostic systems. Their main purpose is to control the technical state of the plane. They report if there a malfunction. However, in most cases, they do not allow to determine a localization of a malfunction with an accuracy to the defect that have caused it. The manual methods for conducting inspections that use specially designed hardware and software are needed in that case. The searching time depends on how well the algorithm for performing checks is chosen. This time can be reduced by providing the technical staff with pre-created algorithms for finding and eliminating defects. A significant effect will be achieved if and only if these algorithms are optimal according to a criterion that reflects the real dependence of losses from the delay time. As statistics show that losses grow exponentially with the increase in time spent on manual search and elimination of a defect that is the cause of a malfunction recorded by on-board monitoring systems. Because the objective function is not additive, classical methods are not applicable for finding the desired algorithm. Heuristic methods do not guarantee the construction of an optimal algorithm. Finding it by brute force search is not realistic, due to the huge number of possible variants. The purpose of the article is to propose a computationally efficient method for constructing optimal algorithms for finding and eliminating defects, considering the exponential dependence of losses from the time of finding and eliminating a defect. The algorithm considered to be optimal if the average losses caused by the flight delay are minimal. The method for constructing the desired algorithms based on the Bellman optimality principle proposed in this article for the first time. Previously, this approach was used only with a linear dependence of losses from time to search for defects. Note that each combination of indications of the on-board diagnostic system has its own set of defects, with an accuracy up to which the defect that is the cause of the malfunction is localized. The number of possible combinations of indications of the on-board diagnostic system is large. Each of them must have its own manual search algorithm. Naturally, the time of its construction should not be too long. The proposed method satisfies this requirement. The construction of an algorithm and its presentation to a specialist may well be carried out using a modern mobile device, which is not even necessarily to be a full-fledged PC. The materials of this article are of practical value for managers and employees of civil aviation passenger aircraft operation services.

Key words: civilian passenger aircraft, algorithms for the search and elimination defects, dynamic programming.

Research target: Engineering and Technology
Language: Russian
DOI
Keywords: динамическое программированиеdynamic programmingcivilian passenger aircraftalgorithms for the search and elimination defectsпассажирские воздушные суда гражданской авиацииалгоритмы поиска и устранения дефектов
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