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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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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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