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News
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
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.

 

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Navigating the Future: AI, Global Supply Chains, and ESG for Sustainable Development

Sustainable Development. 2026. Vol. 34. No. S2. P. 403–421.
Tiwari S., Tzeremes P., Kazemzadeh E., Soltani H., Doğan B.

This study examines the impact of global supply chain pressures (GSCP), artificial intelligence (AI), economic complexity (EC), and sustainability uncertainty (SUI) on the productive capacities index (PCI) in the United States from 2018 to 2024. Employing advanced econometric techniques—including quantile-on-quantile regression (QQR), cross-quantilogram (CQ), and wavelet-quantile correlation (WQC)—the analysis assesses variable effects, directional predictability, causal relationships, and multiscale correlations. The findings indicate that AI significantly enhances productive capacity through technological innovation, automation, and efficiency gains. In contrast, GSCP and ESG-related uncertainties (captured by EC and SUI) hinder productive capacities by exacerbating operational disruptions and investment risks across US industries. These results underscore the necessity for strategic policy interventions that leverage AI's potential to mitigate supply chain vulnerabilities and sustainability challenges. To bolster productive capacities, we recommend that US policymakers prioritize fostering a dynamic entrepreneurial ecosystem, promoting technological innovation, strengthening infrastructure resilience, and investing in human capital development. This study provides critical insights for policymakers, industry leaders, and researchers navigating the interplay of technological advancement, global supply chain volatility, and sustainability in shaping economic productivity.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: global supply chainssustainable developmentAIESG
Publication based on the results of:
Trends and factors of sustainable science and technology development (2025)
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