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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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Поколенческие особенности отказа от алкоголя зависимыми людьми: автобиографическое исследование

Электронный научный журнал "Социальные аспекты здоровья населения". 2021. Т. 67. № 3. С. 13.
Belova Y.

Significance. The sociostructural perspective of the group differences analysis in the addiction study traditionally involves taking into account age, gender, ethnicity, and profession. At the same time, with the development of the society, the generational factor makes an increasingly significant contribution to the intergroup differences. Despite these trends, the generational features of refusing alcohol still remain unexplored.

The purpose of the research is to identify generational features of refusing alcohol by addicted people-representatives of different generations and to typologize the relevant practices and strategies.

Material and methods. The research is of sociological nature representing a qualitative analysis of autobiographical stories of representatives of different generations of alcohol addicts published in the Russian newspapers and magazines (N = 134). The sample is criterial: sociological method of case selection corresponding to the specified criteria.

Results. Generational features of alcohol refusal are expressed in practices and strategies specific to each generation. The practices of alcohol refusals reflecting intergenerational differences are differentiated according to the criteria, depending on stage of moving to sobriety: 1) The stage of choosing in favor of sobriety – the criterion of independence, i.e., practices of adaptation, submission, and free choice; 2) The stage of overcoming addiction – resistance to circumstances, i.e., practices of conscientiousness, firmness of intentions, assertiveness, and isolation; 3) Stage of possible disruption – flexibility, i.e., practices of devotion, balance, and changeability.

The sequence of practices unique for each stage of abstaining from alcohol by addicted people of different generations is expressed in the following strategies: 1) obedience: «submission-conscientiousness-devotion» (mobilization, thaw, stagnation); 2) discretion: «submission-firmness of intentions-balance» (reform); 3) self-sufficiency: «free choice-isolation-changeability» (millennials).

Conclusion. Representatives of the millennial generation are characterized by turning-point practices of alcohol refusal with practically no intersection of the selected criteria with previous generations. Practices overlap partially between the reform generation and the three generations that preceded it. Thus, representatives of the millennial generation differ most significantly from their predecessors in the practices and strategies of refusing alcohol.

Priority areas: sociology
Language: Russian
DOI
Text on another site
Keywords: алкоголизмпоколенияпьянствотрезвость
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