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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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Partner-Accompanied and Individual Care Providers in the Setting of COVID-19 Pandemic: Power Decisions, Practices and Discourses

Etnograficeskoe Obozrenie. 2021. No. 6. P. 294–313.
Kuksa T.

The article analyzes field materials and regulatory documents representing childbirth with support of a partner, individual midwife and doula accompaniment since the beginning of the COVID-19 pandemic, as well as strategies for interaction of patients, their families and personal assistants with maternity hospitals in the context of anti-epidemic restrictions of the Rospotrebnadzor and recommendations of the Ministry of Health of the Russian Federation. In larger Russian cities, the possibility of extraterritorial choice of an obstetric hospital has been limited. Physicians are forced to act on the basis of the presumption of COVID-positive status in pregnant women, women in labor, infants and other caregivers. In maternity hospitals, the practice of family- / partner- and doula-provided assistance was temporarily suspended, and physical separation of the mother from the newborn was recommended, including that in children’s intensive care. However, the conspiracy and eschatological discourses of the lay people and the academic establishment, fears of asceticism and of “canceling thy neighbor,” a return to “bare life,” the supremacy of biopower, loss of rituals of childbirth and funeral were overcome by individual specialists and practices of continuing life itself. Epidemic-control restrictions forced them to transfer interactions with women into forms uncontrollable and invisible to the state and provide support for home births, online support in maternity hospitals, (un)paid prenatal and postnatal counseling and rehabilitation.

Research target: Sociology (including Demography and Anthropology Health Studies Law
Language: English
DOI
Text on another site
Keywords: restrictive measurespatient choicemedicalizationquarantine informed consentpatient rightsdoulaindividual midwifepartner-accompanied childbirthemergency government regulationCOVID-19
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