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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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От экранов к бессоннице: как цифровые стрессоры связаны с характеристиками сна россиян?

Экология человека. 2025. Т. 32. № 3. С. 207–218.
Maksimenko A., Zolotareva A., Каширский Д. В.

Background. Studying the relationships between digital stressors and sleep characteristics is important for developing effective prevention and support strategies in the context of information overload and digital activity of contemporaries.

Objective. The aim of the study was to examine the relationships between digital stressors and sleep characteristics (its quality and duration, taking sleeping pills, bedtime and time spent falling asleep).

Study design. The data was collected through an online survey using the Yandex.Toloka platform.

Participants. The study involved 1008 respondents, including 436 men and 572 women aged 18 to 80 years (M = 38.3; Me = 36; SD = 11.4).

Measurements. The questionnaire contained a number of questions about sleep characteristics, as well as the Cyberchondria Severity Scale (CSS), the Doomscrolling Scale (DS), and the Bergen Social Media Addiction Scale (BSMAS).

Results. Data analysis showed that respondents with higher rates of cyberchondria, mind-scrolling, and social media addiction reported lower sleep quality, more frequent use of sleeping pills, more time spent falling asleep, and shorter sleep duration.

Conclusions. The results emphasize the need to develop digital hygiene strategies, as well as conduct educational programs on digital literacy, introduce practices of conscious use of technology and support specialists in the field of psychology and medicine to comprehensively manage digital habits and minimize their impact on health and psychoemotional state.

Research target: Psychology Media and Communications Health Studies
Language: Russian
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Keywords: электронные устройстваinformation overloadинформационная перегрузкаsleep qualityInsomniaElectronic devicesdigital stressorssleep regulationthe effect of screenspsychoemotional statesцифровые стрессорыбессонницакачество снарегуляция снаэффект экрановпсихоэмоциональные состояния
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