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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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?

О семиотической модели образа

Слово.ру: балтийский акцент. 2018. Т. 9. № 2. С. 37–51.
Fomin I.

The article is devoted to the development of a fundamental semiotic model of images that is based on the categorical apparatus of Ch. S. Peirce (on the concepts of Firstness, icon, hypoicon and metaphor). The image is proposed to be defined as a complex sign (two-level hypoicon-metaphor), which has a certain “primary” sign as its sign vehicle that represents the object constituted by all the facts (cases of semiosis) that are similar to that primary sign. Three key functions of the image are defined: a) the memory function (the accumulation of semiotic experience inherent in a certain discourse), b) the transfer function (transmission (synchronic and diachronic) of semiotic experience from one discourse to another), c) logonomic function (prescription and enabling of the future of acts of semiosis, similar to a certain exemplary act). The author explores the relationship between the category of image and a number of similar concepts. In particular, the definitions of the category of symbol (by S. S. Averintsev and Yu. M. Lotman), the category of myth (in the interpretation of R. Barthes) and the concept of meme (by R. Dawkins) are analysed and juxtaposed with the notion of image.

Research target: Other social sciences Other Humanities Media and Communications
Priority areas: sociology humanitarian
Language: Russian
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DOI
Text on another site
Keywords: metaphorсемиотикасимволобразмифsymbolmythimagesemioticsметафорызнаки-иконыiconicity
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