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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
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Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
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The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Русскоязычная версия шкалы стигмы ВИЧ-инфекции Б. Бергер

Национальный психологический журнал. 2025. Т. 20. № 1. С. 51–64.
Коренева Е. В., Zolotareva A.

Background. The Berger HIV Stigma Scale (BHSS) is one of the most well-known instruments for measuring the stigmatization of HIV-infected people. Russian experts have used the measure in empirical studies but have not yet adapted it for Russian-speaking respondents. Objective. The study was aimed at adapting and examining the psychometric properties of the Russian short version of the Berger HIV Stigma Scale-12 (BHSS-12). Study Participants. The data collection was conducted in June-July 2024. The participants were 120 HIV-infected respondents, including 65 women and 55 men aged 18 to 57 years (M = 38.1; SD = 8.93). Methods. The participants completed a questionnaire containing the Russian version of the BHSS-12, the Depression, Anxiety and Stress Scale-21 (DASS-21), and a block of socio-demographic questions about sex, age, education, presence/absence of children and partners/spouses, presence/absence of AIDS, visiting an AIDS Centre, and duration of the disease. Results. Data analysis showed a four-factor structure of the Russian version of the BHSS-12, which coincides with the structure of the original instrument and confirms the factor validity of the adapted measure. The Cronbach’s alpha coefficients were 0.816, 0.794, 0.819, and 0.797 for the subscales “Personalized stigma”, “Disclosure concerns”, “Concerns about public attitudes”, and “Negative self-image”, respectively, which confirms the internal reliability of the Russian version of the BHSS-12. The HIV stigma was positively correlated with depression, anxiety, stress, and general psychological distress, which indicates the convergent validity of the adapted measure. Older HIV-infected respondents had the highest scores on the subscale “Concerns about public attitudes”. The participants who were not in partner and marital relationships showed the highest scores on the subscales “Concerns about public attitudes” and “Negative self-image”. Conclusion. The Russian version of the BHSS-12 is reliable and valid, and therefore can be recommended as a diagnostic instrument for measuring the HIV stigma in Russian-speaking respondents.

Research target: Psychology
Language: Russian
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Keywords: stigmaстигмапсихометрический анализpsychological distressпсихологический дистрессpsychometric analysishuman immunodeficiency virusвирус иммунодефицита человекаBHSS-12BHSS-12
Publication based on the results of:
Развитие психосоматических исследований в России (2025)
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