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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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Архитектура сетевого управляющего комплекса здания на базе IoT устройств

Датчики и системы. 2018. № 5. С. 32–38.
Vikentyeva O., Kychkin A., Deryabin A. I., Shestakova L. V.

This work considers the problem of designing the architecture of a network management system for a generic module of a modern automated building. To improve the efficiency of building operation given the large influx of data, the architecture of the network management system implements multicontour management of a generic modules using cloud scenarios. Building operation efficiency is enhaced by using data mining blocks in the external control loop to detect the systematic behavior of users of a generic building module. This is based on data from IoT controllers, statistical processing of information on the system's server and generation of control actions in automatic and / or automated modes. As a technological base of the building management complex, a set of Internet of Things devices (IoT) is considered. The implementation of control algorithms for a typical intelligent building module is described by a software program model, for example, in the form of logical structure algorithms

Research target: Computer Science Engineering and Technology
Priority areas: IT and mathematics engineering science
Language: Russian
Full text
Keywords: информационная системаинтернет вещейинтеллектуальный анализ данныхбольшие данныеbig datainformation systemSmart Buildingинтеллектуальное здание Internet of Thingsintellectual data analysismanagement scenarioсценарий управления
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