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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Взгляд на травматический стресс через призму уязвимости и устойчивости

Человек. 2023. Т. 34. № 4. С. 181–191.
Shmarina T.

This article details two existing perspectives on traumatic stress: vulnerability and resilience. Traditionally, the issue has been considered in the narrow psychopathological context of risk factors and vulnerability, despite evidence indicating that most people exposed to potentially traumatic events will remain mentally healthy and continue to lead fulfilling lives, following a trajectory of resilience. We will examine both perspectives and try to relate them. The view of post-traumatic stress through a vulnerability lens focuses on the risk factors and mechanisms that lead to the development of the disorder, and the qualities that increase susceptibility to them. Predictors are well researched and a consensus has been reached here, so to add some novelty to the data we already know, we will list risk and vulnerability factors, dividing them into three groups: pre-, peri- and post-traumatic. Looking at post-traumatic stress through the lens of resilience is not as clear-cut — this area is poorly understood, so there are several competing theories, and consensus has yet to be reached. The trajectory of resilience is common among large numbers of people — two-thirds of the trauma survivor population — so isolating individual correlates of resilience has led to a paradox: While there are many variables that correlate reliably with resilience, it is impossible to predict with great accuracy who will be resilient to potential trauma and who will not. One solution to the resilience paradox is the not yet widely accepted, but widely discussed, Flexibility Sequence Theory proposed by George Bonanno. In examining the two perspectives, we conclude that vulnerability does not preclude resilience and that the focus of interventions can be not only on identifying and mitigating risk factors, but above all on maintaining effective use of natural internal protective factors and developing a sequential flexibility that ensures resilience.

Research target: Psychology
Language: Russian
DOI
Text on another site
Keywords: уязвимостьустойчивостьфакторы рискаrisk factorsvulnerabilityпосттравматическое стрессовое расстройствотравматический стрессresilienceРезильентностьpost-traumatic stressпосттравматический стресс posttraumatic stress disorderпарадокс устойчивоститеория последовательной гибкостипредикторы ПТСРtraumatic stressresilience paradoxFlexibility Sequence Theory
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