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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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Оценка взаимосвязи характера хода позвоночных артерий и вен с морфометрическими и гемодинамическими показателями по результатам ультразвуковых исследований

Наука молодых - Eruditio Juvenium. 2024. Т. 12. № 2. С. 229–242.
Moshkin A.

INTRODUCTION: Vertebral arteries and veins are the most vulnerable part of cerebral hemodynamics and are well accessible for visualization at ultrasound examination. AIM: To determine the relationship between the course and individual anatomical features of the vertebral arteries and veins when performing ultrasound examinations. MATERIALS AND METHODS: Two hundred thirty-three volunteers, aged from 18 to 86 years were examined using diagnostic equipment SonoAce R7, Logiq F6. The data were grouped based on the course of the vessels and the gender of patients; statistical analysis was performed. RESULTS: A straight course of vessels both sides was found in 52 individuals, not straight in 90, and the course did not coincide in 91 cases. The highest systolic blood linear velocity with the straight course of the arteries was on the left. The volume velocity was 84.0 ± 34.9 ml/min in the straight course, 84.9 ± 34.4 ml/min in the non-straight course. CONCLUSION: The smallest difference in diameter of arteries was observed with a bilateral non-straight course. The highest blood volume velocity was recorded in arteries on the left with the straight course. The lowest hemodynamic parameters were noted in vertebral veins with the bilateral non-straight course. The average diameter of veins regardless of the side of visualization did not depend on the course and was 1.4 ± 0.3 mm. In the non-straight course, the volume velocity of venous blood flow was 11.3–12.3 ml/min, in the straight course 17.2 ± 11.7 ml/min.

Language: Russian
Full text
DOI
Keywords: Doppler ultrasoundVertebral arteriesультразвуковая диагностикаblood supplyпозвоночные артериикровоснабжение
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