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News
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.

 

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Разработка макромодели надежности импульсного источника вторичного электропитания

Физические основы приборостроения. 2023. Т. 12. № 3(49). С. 7–17.
Ivanov I., Korolev P., Polesskiy S., Tsvetkov V.

The article proposes a methodology for developing reliable macro-models of pulse secondary power sources (SPS) to predict the unit dependability indicator as the failure rate. A natural experiment was conducted to observe the operation of a pulse SPS under various electrical loads and temperatures, revealing a critical factor that significantly affects the dependability of pulse SPS: temperature. Additionally, a macro-model of dependability for pulse secondary power sources was developed, validated through both natural and virtual experiments. The task of constructing the macro-model is achieved using the approximation method of polynomial regression of degree n. The adequacy of the developed macro-model is confirmed by the coefficient of determination and a relative error not exceeding 3%. The analysis results confirm the high accuracy of the macro-model compared to full model of dependability for SPS. Dependencies are presented that confirm the fact that the most significant impact on the operational failure rate is exerted by external influencing factors, specifically temperature. The proposed methodology can also be applied to predict target reliability measures for other electronic devices, thereby enhancing the efficiency of system design.

Research target: Electronics and Electrical Engineering
Language: Russian
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Keywords: внешние воздействующие факторыпоказатели надежностиreliability measuresполиномиальная регрессияэксплуатационная интенсивность отказовoperational failure ratedependability macro-modelpulsed secondary power supplyenvironmental conditionspolynomial regressionмакромодель надежностиимпульсный источник вторичного электропитания
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