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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.
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Deliberative Democracy Nationwide? - Evaluating Deliberativeness of Healthcare Reform in China

Journal of Chinese Political Science. 2014. Vol. 19. No. 2. P. 1–22.
Korolev A.

To date, China’s deliberative institutions have mainly been seen as small-scale mechanisms for controlling local social unrest. This paper explores how deliberative principles in China work at the national level. The case under scrutiny is China’s new healthcare reform. Drawing on the existing empirical studies, Chinese-language reports and articles, official document analysis, and on several unstructured interviews with Chinese academics, the article attempts to evaluate the extent to which deliberative democratic principles are present in the process of healthcare policy making. To achieve this analytical goal, it develops and applies five criteria of good deliberation. The analysis suggests that the public policy process in China is now more inclusive and pluralistic than it was in the past. This arguably indicates that China’s political system is moving in a new direction.

Research target: Political Science, International Relations, and Public Administration
Priority areas: humanitarian
Language: English
DOI
Text on another site
Keywords: Chinahealthcarepolitical democratizationdeliberative democracyGovernance and public policycitizens participation
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