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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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АССОЦИАТИВНЫЙ ТЕЗАУРУС ТЕРМИНОВ КОГНИТИВНОЙ ЛИНГВИСТИКИ

Известия Уральского федерального университета. Серия 2: Гуманитарные науки. 2026. Т. 28. № 1. С. 124–139.
Kolchina O., Romanova T. V.

The article is devoted to the problem of studying the terminological system of cognitive linguistics and its assimilation by linguistic students. The terminological system of cognitive linguistics, being interdisciplinary in essence, is currently in the process of formation, and various paradigmatic and syntagmatic connections between terms are being established. Thus, the most relevant way to represent a terminological system is a thesaurus-type dictionary. The purpose of the research in the preparation of the project dictionary (Romanova T.V., Kolchina O.N., Kulikova V.A., Khomenko A.Yu. The project dictionary is a reference book of cognitive terms: A textbook / Under the general editorship of T.V. Romanova. Nizhny Novgorod: DECOM, 2022. 216 p.) the terms were presented as a fragment of a thesaurus in the totality of all paradigmatic connections. The analysis of scientific literature on cognitive linguistics was carried out using the corpus method. A specialized scientific corpus has been created, which makes it possible to identify the collocations of the term and its n-grams. The corpus analysis data represents the syntagmatics of terms, possible sequences of terms in the text. This article provides an example of an analysis of several interrelated terms: anthropocentrism, association, associative thesaurus, conceptualization, conceptual integration. The reference dictionary also contains information about the associative experiment. The data from scientific sources in the article are compared with the data obtained during the experiment. The results of a free associative experiment conducted among students of the bachelor's degree program in Fundamental and Applied Linguistics at the Higher School of Economics (Nizhny Novgorod) confirm the conclusions of a contextual and comparative analysis of cognitive linguistics terms used in the relevant scientific literature and allow us to present an associative thesaurus of linguistics students. The results of corpus and contextual analysis and associative experiment represent a knowledge format that represents the structure of the thesaurus of cognitive terms in the minds of linguistics students. Each term forms synonymous, sometimes antonymic, hyper-hyponymic connections with other lexemes of a terminological nature, undergoes processes of expansion or narrowing of meaning, and has an evaluative interpretation. The article also compares the ways of interpretation and representation of the term in scientific literature and in an associative experiment. Thus, the content of the article is related to the identification of the specifics of perception and assimilation of the cognitive terminological system by linguistic students by comparing the data of the associative experiment with the data of scientific discourse.

Research target: Philology and Linguistics
Language: Russian
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Keywords: когнитивная лингвистикатерминассоциативный эксперименттерминосистемаcorpus methodsассоциативный тезаурусassociative experimentknowledge formatassociative thesaurusформа знанияterminological systemtermкорпусный методcognitive linguistics
Publication based on the results of:
Термины когнитивистики по данным российских СМИ XXI века: дискурсивный словарь-справочник (2026)
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