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September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Экспериментальные композитные индикаторы циклического реагирования в обследованиях потребительских ожиданий населения

Вопросы статистики. 2022. Т. 29. № 4. С. 14–32.
Kitrar L. A., Lipkind T. M., Ustinova R.

The article proposes a theoretical rationale and procedure for constructing new composite indicators that combine the results of quarterly consumer expectations surveys conducted by the Federal State Statistics Service (Rosstat). The information capabilities of surveys for the period 2005–2021 were studied to find the best alternative to the traditional consumer confidence index in the context of early estimates of the growth in household final consumption. The experimental Consumer Behavior Index reflects the «common profile» in the changes in the key parameters
of consumer activity. The index is based on time series of primary survey indicators with high cross-correlation coefficients and a confirmed statistically significant causal relationship with a statistical referent – the growth rate of the final consumption expenditure of households.
The new Consumer Anxiety Index with a counter-directional profile assesses the scale and tendencies of household response to market shocks based on short-term gaps between the indicator components and their long-term average.
In accordance with the proposed procedure for statistical testing of the time series, a cross-correlation analysis was carried out. Granger causality was studied, principal component analyses applied, unobservable cyclical components were identified in the dynamics of the Consumer Behavior Index and the referent using Hodrick – Prescott, Christian – Fitzgerald and Kalman statistical filters, and phase-by-phase movement of these components is demonstrated. A statistically significant cyclical correspondence and a close relationship of leading and coinciding nature between the composite survey-based index and the growth rate of the final consumption expenditure of households were confirmed.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: потребительские ожиданияconsumer expectationsпотребительские настроенияcomposite indicators of cyclical responseкомпозитные индикаторы циклического реагированияconsumer sentimentsconsumer surveysconsumer behavior indexconsumer anxiety indexопросы потребителейиндекс потребительского поведенияиндекс потребительского беспокойства
Publication based on the results of:
Development of indicators and methodology for measuring the economic and digital conjuncture (2022)
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