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  • Пространственные закономерности распространения трихинеллеза на юге Дальнего Востока России
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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
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.

 

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Пространственные закономерности распространения трихинеллеза на юге Дальнего Востока России

Медицинская паразитология и паразитарные болезни. 2022. № 4. С. 31–37.
Mironova V., Карабанова Е. А., Shartova N.

The registered cases of trichinosis among the population of four federal entities of the south of the Far East (Amur Region, Jewish Autonomous Region, Transbaikal Territory and Khabarovsk Territory) in 2000-2020 were considered. A spatial analysis, mapping and visualization was carried out on the basis of data derived from state reports of the Rospotrebnadzor on the number of cases and the frequency of their registration in the context of municipalities. A typological classification of territories has been built using the developed scoring and the identification of statistically significant "hot" and "cold" spots has been provided. It has been established that the incidence of trichinosis in humans is associated with both the consumption of meat of wild animals and domestic pigs, which, apparently, is associated with the Trichinella species prevailing in each specific area. Regions with stably recorded incidence have been identified, however, the establishment of more obvious spatial patterns of the spread of trichinosis is hindered by the insufficiency and incompleteness of published data, in particular, the lack or inaccessibility of information on the Trichinella species composition and the fragmentation of data on the results of epidemiological investigations. The tested method gives an idea of the levels of risk of infection with trichinosis for the population of the region and can be used for more in-depth studies in the future

Research target: Health Studies Earth Sciences
Language: Russian
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Text on another site
Keywords: risk assessmentоценка рискаtrichinosisspatial statisticshot and cold spotsтрихинеллезыпространственная статистика«горячие» и «холодные» точки
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