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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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Activity-based planning of primary care utilization in a model of prospective demand for workforce

Human Resources for Health. 2025. Vol. 23. Article 70.
Stepanov I., Sheiman I.

The article develops an activity-based utilization model to inform strategic planning of the primary care workforce in Russia. Using national data on morbidity, service utilization, and staffing norms, the authors forecast physician visits per capita and link these projections to specific policy activities that can increase or decrease demand for primary care physicians. The model distinguishes groups of interventions such as expanding PHC capacity, strengthening chronic disease management, delegating tasks to nurses, and introducing remote monitoring, and quantifies their combined effect on visit rates under a preferred scenario to 2030. Sensitivity analysis identifies which activities most strongly influence projected demand, supporting prioritization of reforms and demonstrating that relatively simple utilization-based tools can be adapted for medium- and long-term workforce planning in settings with limited data.

Research target: Health Studies Economics and Management
Language: English
DOI
Text on another site
Keywords: primary health careмедицинские кадрыпервичная медико-санитарная помощьactivity-based utilization modelprospective workforce demandhealthcare workforceспрос на медицинские кадрыпланирование кадров здравоохранения
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