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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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Macroeconomic determinants of the green transition: a regime-switching analysis of Indonesian clean energy start-ups

International Journal of Diplomacy and Economy. 2026.
Warong M. M.

 This study conducted in Indonesia between 2000 and 2023, demonstrates a complex, non-linear interplay between the economic environment and the emergence of clean energy start-ups. Using Autoregressive Distributed Lag and Markov Switching models, the research shows that start-up formation coincides with periods of lower GDP growth, suggesting that innovation is often spurred by necessity. Two distinct economic regimes emerged. Low Growth and High Volatility Growth have been dominant since 2017. Foreign direct investment and robust governance, helpful in the latter phase, left trade openness looking like a one-off sugar rush, useful only while markets were still maturing. Findings underscore that a one-size fits-all policy approach is suboptimal. Instead, argue for context-sensitive interventions. Legislators are urged to frame downturns as windows for inventive activity and to pair selective governance upgrades with targeted FDI outreach when expansion returns, thereby steering the economy toward a more durable green transition.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: IndonesiaMarkov switching modelsARDLgreen transitionclean energy start-upsmacroeconomic determinants
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