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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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?

РАССТРОЙСТВА ЛИЧНОСТИ: ОТ ИСТОРИЧЕСКИХ АСПЕКТОВ К СОВРЕМЕННЫМ ПРЕДСТАВЛЕНИЯМ

Обозрение психиатрии и медицинской психологии им. В.М. Бехтерева. 2025. Т. 59. № 4. С. 37–44.
Shishkovskaya T., Леонова А. В., Петрова Н. Н.

This article presents a narrative review of the key theoretical and clinical approaches to understanding personality disorders. It traces the historical evolution of the concept, from early psychiatric descriptions to its current formulations in the DSM-5 and ICD-11 classifications. The review discusses differences in the definition of personality disorders and evaluates the advantages and disadvantages of categorical versus dimensional diagnostic systems. Special attention is given to comparing psychodynamic, cognitive-behavioral, and neurobiological models, including their influence on treatment strategies. The article provides a detailed analysis of neurobiological models of personality disorders, including data on structural and functional brain changes, neurochemical imbalances, and genetic factors, as well as their potential for the development of biomarkers and individualized therapies. Furthermore, it outlines the principles of psychotherapeutic interventions according to different theoretical frameworks-from psychoanalytically oriented therapy and schema therapy to dialectical behavior therapy. The review also examines the possibilities and limitations of pharmacotherapy, including current data on its efficacy and applicability across various types of personality pathology. This comprehensive overview aims to present the current state of the field and may be of interest to professionals in psychiatry and psychotherapy, as well as researchers exploring the development of integrative models for the diagnosis and treatment of personality disorders.

Research target: Clinical Medicine
Language: Russian
DOI
Text on another site
Keywords: Аффективные расстройства личности
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