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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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Facial shapes in Frankfurt Horizontal and natural head positions: a methodological study

Annals of Human Biology. 2025. Vol. 52. No. 1. Article 2536162.
Mezentseva A., Rostovtseva V., Komarova A., Korotkova A., Dashieva N., Marina L. Butovskaya

Background: Head orientation during photography can distort facial shape, but this is
rarely considered in cross-population studies focusing on facial morphology and its
perception.
Aim: To assess how head positioning (Frankfurt Horizontal [FH] vs. natural position
[NP]) affects facial shape and trait perception across two ethnic populations.
Subjects and methods: Facial photographs were collected from Buryats of Mongolian
descent (N = 148) and Russians of European descent (N = 155). Geometric morphometrics
were used to compare the facial shapes in the FH and NP positions. Independent rater
groups with similar population origins, Kalmyks (N = 162) and Russians (N = 242),
evaluated perceived aggressiveness and attractiveness based on these portraits.
Results: Head orientation significantly altered facial shape, particularly among the
Buryat group. Despite the larger facial sexual dimorphism in the Buryat group, sex
differences were more pronounced in FH across both samples. Correlations between
facial shape and body metrics (height, Body Mass Index, and body fat mass) were
stronger in FH. Ratings of male aggressiveness and female attractiveness were
consistently influenced by head position across both rater populations and sexes.
Conclusion: Head positioning introduces systematic bias into facial shape analysis and
perception. Failure to control for this factor may compromise study comparability and
distort meta-analytic findings.

Research target: Sociology (including Demography and Anthropology
Language: English
Full text
DOI
Keywords: perceptioncross-cultural studiesFacial shapeGeometric morphometricsPhoto methods
Publication based on the results of:
From Antiquity to Modernity: Epistemology of the Development of Spiritual and Material Cultures in Non-Western Societies (2025)
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