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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.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.
September 4, 2026
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Анализ трансформации роста китайской экономики в «эпоху Си»

Экономический журнал Высшей школы экономики. 2026. Т. 30. № 2. С. 344–376.
Lola I. S., Asoskov D.

The article analyzes the transformation of China's economic growth mechanisms in the period after Xi Jinping came to power, with a focus on interprovincial heterogeneity. Based on panel data for 29 provinces of China for 2001-2024, the Bayesian hierarchical regression model is estimated, which makes it possible to identify both average (fixed) and provincial-specific (random and total) effects of key intra-system macroeconomic factors, including export growth rates, R&D expenditures, retail sales and budget deficits. It is emphasized that the observed slowdown in the Chinese economy is not temporary, but structural, determined by the existing imbalances in the economy, including at the regional level.

The empirical strategy assumes an explicit division of the sample into the periods before and after 2012 (the year Xi Jinping came to power), which makes it possible to identify changes in the role of these factors in the context of the discussed transition from an export-oriented growth model to a reliance on domestic consumption and innovation. However, the results show that in 2013-2024 exports remain the main driving force, while role of R&D activity has strengthened extremely, domestic consumption loses its leading position, and government spending ceases to influence the dynamics of economic development in any way, which casts doubt on the success of the “dual circulation” policy. It is also worth noting that after 2012, the interprovincial variability in the contributions of growth factors is decreasing, and 3 types of growth mechanism identified as a result of cluster analysis of the combined effects which existed in 2001-2012 are subsequently reduced to 2.

The findings complement the literature on the “new normal” of the Chinese economy and contribute to research on regional inequality, demonstrating that the transformation of the growth model is accompanied not only by changes in average effects, but also by a contraction of the space of regional economic divergence.

Research target: Economics and Management
Language: Russian
DOI
Keywords: экспортэкономический ростeconomic growthexportНИОКР R&Dtransformation of growthBayesian regression model"Xi era"трансформация ростабайесовская регрессионная модель"эпоха Си"
Publication based on the results of:
Assessment of the business climate based on the results of conjuncture surveys in the conditions of formation of a new model of economic growth (2025)
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