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News
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.
July 13, 2026
Biologists Discover Unique Properties of MiR-93-5p MicroRNA in Prostate Cancer
Researchers at the International Laboratory of Microphysiological Systems of the HSE Faculty of Biology and Biotechnology investigated how different isoforms of the same microRNA influence gene function in prostate adenocarcinoma. The study found that in some cases, microRNAs can reinforce each other’s effects by targeting and suppressing the same genes. This finding offers a fresh perspective on the molecular mechanisms underlying tumour development and on the search for disease biomarkers. The results have been published in PeerJ.

 

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"Полезные ошибки" и автоматическое создание упражнений по английскому языку

Перевод и сопоставительная лингвистика. 2016. № 12. С. 12–16.
Malafeev A.

In foreign language teaching, various types of linguistic exercises are widely used – in particular, those involving the correction of lexical and grammatical errors in the text. The article describes a method for automatically generating such exercises from arbitrary texts in English. Freedom to choose any text is an important advantage from the point of view of student motivation, since the teacher can adapt the content of the tasks to students’ interests. Two experiments involving expert evaluation of exercises showed that our method is highly effective.

Research target: Computer Science Philology and Linguistics
Priority areas: humanitarian
Language: Russian
Full text
Text on another site
Keywords: blended learningлексико-грамматические упражнениясмешанное обучениеerror correctionавтоматическое создание упражненийTeaching English as a Foreign Language (TEFL)automatic exercise generationlexico-grammatical exercisescomputer-assisted language learningпреподавание английского языка как иностранногоизучение языков с помощью компьютераисправление ошибок
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