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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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Правовые последствия введения процедур банкротства в отношении физического лица по законодательству РФ

Гл. 7. С. 87–100.
Zhukova Y.
Language: Russian
Full text
Keywords: несостоятельность гражданинареструктуризация долгов гражданинареализация имущества гражданинаограничение дееспособности гражданинапоследствия признания банкротом

In book

Правовое регулирование несостоятельности в России и Франции
Ле Корр П., Ле Корр-Броли Э., Метейе Т., Карелина С. А., Kurbatov A. J., Pirogova E., Zhukova Y., Podmarkova A., Bychkova K. M. М.: Юстицинформ, 2016.
Similar publications
Personal Insolvency and Implications for Credit Institutions
Yusupova O., Digest Finance 2017 Vol. 22 No. 4 P. 413–424
mportance Having been adopted in 2015, personal insolvency regulations significantly influenced the supply structure in the lending market, and dramatically changed banks' approaches to dealing with difficult customers, especially in consumer lending. Objectives The research analyzes strengths and weaknesses credit institutions face as a result of the enforcement of personal insolvency regulations, nature of changes ...
Added: December 15, 2017
БАНКРОТСТВО ГРАЖДАН И ЕГО ПОСЛЕДСТВИЯ ДЛЯ КРЕДИТНЫХ ОРГАНИЗАЦИЙ
Yusupova O., Финансовая аналитика: проблемы и решения 2017 Т. 10 № 4 (434) С. 403–417
Importance Having been adopted in 2015, personal insolvency regulations significantly influenced the supply structure in the lending market, and dramatically changed banks' approaches to dealing with difficult customers, especially in consumer lending. Objectives The research analyzes strengths and weaknesses credit institutions face as a result of the enforcement of personal insolvency regulations, nature of changes ...
Added: December 11, 2017
Особенности правового положения гражданина – должника по делу о банкротстве на современном этапе развития законодательства о несостоятельности физических лиц
Pirogova E., Zhukova Y., Хозяйство и право 2016 № 12 С. 69–82
The article is devoted to the analysis of the essential issues of concern in the field of regulation of the legal status of a physical person involved in the insolvency proceeding as a debtor or declared insolvent. The authors examine legal developments introduced by the Law No 154-FZ with relation to applicability within the system ...
Added: February 19, 2017
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