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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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Аутентичность личности и парадокс устойчивости к травматическому стрессу

Современная зарубежная психология. 2023. Т. 12. № 3. С. 74–82.
Shmarina T.

Research and statistics show that two-thirds of people manage to survive traumatic stress without serious or lasting mental health problems. This means that most people are resilient to traumatic stress but attempts to predict resilience based on individual personality traits are usually unsuccessful, and making accurate predictions about who will be resilient and who will not is difficult. The article considers three proposals for resolving this prognostic problem: first, abandoning consideration of stability as a personality trait in favor of stability as a process of flexible self-regulation; second, considering behavior in a model of non-linear interaction between personality and situation, postulating that human behavior is determined by personality trait parameters, situation characteristics and the outcome of their combination; and third, choosing determinants and correlates of stability, focusing on consideration of major personality traits, such as authenticity. The potential value of studying authenticity in the context of traumatic stress resilience is argued coherently: evidence for the high resource capacity of authenticity is presented; the subject concept of authenticity is proposed; similar studies from previous years are reviewed; trait authenticity and state authenticity are compared; the topic of authenticity in first responders is addressed.

Research target: Psychology
Language: Russian
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DOI
Text on another site
Keywords: аутентичностьauthenticityПТСРпосттравматическое стрессовое расстройствотравматический стрессPTSDsubjective approach posttraumatic stress disorderсубъектный подходdispositional authenticityдиспозициональная аутентичностьпарадокс устойчивостиtraumatic stressresilience paradox
Publication based on the results of:
Аутентичность личности: предикторы, проявления, приложения (2020)
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