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September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Reliability and Statistics in Transportation and Communication: Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia

Vol. 640. Cham : Springer, 2023.
Under the general editorship: I. Kabashkin, I. Yatskiv, O. Prentkovskis

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022,  in Riga, Latvia, in hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of artificial intelligent concepts into reliability approaches. 

Chapters
Efficiency Assessment System Based on Analytical Approach for Sustainable Development of Transport Logistics
Strimovskaya A., Sinko G., Tsyplakova E., , in: Reliability and Statistics in Transportation and Communication: Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, LatviaVol. 640.: Cham: Springer, 2023. P. 162–173.
Sustainable development of transport and related logistics activities, as being a part of international business, is becoming one of the major tendencies worldwide. It increases social responsibility of companies involved through reasonable resource consumption and lean approach to exceeding logistics costs. Logistics includes many activities with indicators comparing planned values with actual results. There are ...
Added: March 30, 2023
Classification of Inventory Management Methods Based on Demand Analysis in Supply Chains
Lukinskiy V., Lukinsky V., Bazhina D. et al., , in: Reliability and Statistics in Transportation and Communication: Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, LatviaVol. 640.: Cham: Springer, 2023. P. 123–130.
Improving the efficiency of inventory management in supply chains remains relevant for industrial, commercial, service and other enterprises. The results of a supply chains survey (distribution center - stores) with weekly deliveries throughout the year demonstrated that inventory management strategies may be classified into three groups: smooth (more than 47 weeks per year deliveries are recorded), low (from 20 to ...
Added: May 3, 2023
Research target: Computer Science Engineering and Technology
Language: English
DOI
Text on another site
Keywords: computational intelligence
Reliability and Statistics in Transportation and Communication: Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia
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