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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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The “Multimodal Spiral”: Rethinking the Communication Curriculum at an English as a Medium of Instruction Institution

Journal of Technical Writing and Communication. 2024. Vol. 54. No. 2. P. 181–205.
Overstreet M., Carbonell C., Akhmedjanova D.

The rise of English as a Medium of Instruction (EMI) threatens to upend traditional teaching and learning practices. Writing, speaking, and communication instruction will all need to evolve. This article presents a case study of one institution's efforts to design and implement a communication curriculum responsive to the unique demands of the EMI environment. The curriculum proposed enacts an interdisciplinary, multimodal approach to the teaching of communication. We discuss the specifics of the curriculum, the process of its creation, the principles underlying it, and how these principles play out in practice. In doing so, we hope to provide a model both for global communication instruction and future curricular design efforts.

Research target: Other social sciences
Language: English
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Keywords: curriculum designmultimodal communicationEnglish as medium of instructioncommunication pedagogy
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