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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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The efficacy of augmented reality exposure therapy in the treatment of spider phobia—a randomized controlled trial

Frontiers in Psychology. 2024. Vol. 15. Article 1214125.
Jurcik T., Zaremba-Pike S., Kosonogov V., Mohammed A., Krasavtseva Y., Sawada T., Samarina I., Buranova N., Adu P., Sergeev N., Skuratov A., Demchenko A., Kochetkov Y.

Recently, the evidence for the use of Augmented Reality (AR) in treating specific phobias has been growing. However, issues of accessibility persist, especially in developing countries. The current study examined a novel, but relatively simple therapist guided smartphone-based AR Exposure Treatment (ARET) of spider phobia. Participants who reported symptoms of Arachnophobia were randomized into one of three comparison groups: ARET (n=20), traditional in vivo exposure therapy (IVET; n=18) and a waitlist control group (n=17). Behavioral approach, subjective symptom measures, and galvanic skin response were assessed pre-and post-treatment. The study was concluded with a one-month follow up assessment. Results indicated that both treatment groups showed statistically significant and clinically meaningful improvements in behavioral approach at post-test that were maintained at one month follow-up, compared to the wait-listed group. Moreover, the treatment groups demonstrated significant improvements in subjective symptom report at 1-month follow up. Given its utility and potential accessibility, our findings suggest that future AR evaluation research could be conducted in therapy settings with minimal resources. We developed and tested a therapist guided Smartphone App for Augmented Reality Exposure Therapy (ARET) of Spider Phobia in a middle-income country. We completed a Randomized Control Trial comparing ARET to In Vivo Exposure Therapy (IVET) and a waitlist control group. ARET and IVET produced similar symptom and behaviour approach improvements compared to the control group. ARET may be an efficacious treatment in settings with limited resources.

Research target: Psychology
Language: English
DOI
Keywords: дополненная реальностьaugmented realityin-vivoExposure therapyspider phobiain-vivoэкспозиционная терапияарахнофобия
Publication based on the results of:
Digital support of students’ health-saving behavior: development of a preventive program and its effectiveness evaluation (2024)
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