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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.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Academic English for Professionals in Russian Legal System

СПб. : Asterion, 2016.
Meniailo V. V., Chumilkin S., Shchemeleva I.

The coursebook is designed for undergraduate law students specializing in the following spheres of law: Russian law, International Law, Comparative Law, whose native language is other than English. The Level of English before starting the course is supposed to be not lower than B1-B2 according to the CEFR. The book is aimed at developing academic and professional English skills. In in other words, prospective students are supposed to learn the English language used in special contexts (academic and professional). Thus, the primary objective is not to explain the system of law (either domestic or foreign), but to teach students to critically analyze the material related to it and to communicate at the university level and inside the profession, where students need to be prepared to listen to lectures in English, read academic and legal texts, produce different types of texts (paragraph, summary, essay, case brief), do research and present its result (in oral and written form). 

To achieve its objectives the book puts stress on academic, professional and communicative skills. The academic component is realized through mastering critical thinking skills, search for information skills, note-taking skills, comparing and contrasting skills. The professional component is realized through case studies, reading legal texts, genre writing. In accordance with students’ academic and research needs the book is provided with specific vocabulary for Russian legal realia and activities to practice it. Communicative skills are developed through pairwork, groupwork and teamwork activities. The illustrative examples have mostly been taken from the British National Corpus and the Corpus of Contemporary American English.

The book can be used both in class and individually. It can be suggested as an additional course book for first or second year students. 

Research target: Philology and Linguistics Law Education
Priority areas: humanitarian
Language: English
Full text
Keywords: Russian lawAcademic EnglishLegal English
Academic English for Professionals in Russian Legal System
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