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September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
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.
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‘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.

 

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Повышение быстродействия квантового алгоритма факторизации Питера Шора путём усовершенствования его классической части

Современные наукоемкие технологии. 2019. Т. 1. С. 114–118.
Смирнов И. А., Черкесова Л. В., Разумов П. В., Пилипенко И. А., Сафарьян О. А.

The proposed article compares the quantum factorization algorithm of Peter Shor and the factorization algorithm of the ?-John Pollard method. As is well known, the quantum algorithm for factoring Shor consists of classical and quantum parts. In the classical part, it is proposed to use the Euclidean algorithm to find the greatest common divisor of numbers (GCD). However, there are quite a number of algorithms for finding the greatest common divisor of numbers. The authors of this article reviewed the results of calculations of eight algorithms, among which the algorithm with the highest GOD search speed was found. This allows the quantum algorithm as a whole to work faster. In turn, this provides a great potential for the practical application of the quantum Shor algorithm. Thus, the authors modified the standard quantum algorithm of P. Shor by replacing the binary NOD search algorithm with an iterative shift algorithm, canceling the random number generation operation and using the additive chain algorithm for fast exponentiation. The obtained modified Shor’s algorithm is distinguished by higher performance and speed in the implementation of factorization. The effectiveness of this modified algorithm turned out to be, in general, higher than that of the standard Shor algorithm, due to the improvement of its classical part. As a result, the performance of the algorithm increased by 50?%.

Language: Russian
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Keywords: recursive algorithmsфакторизацияqubitкубитquantum algorithmsfactorizationthe greatest common divisorbinary algorithmiterative algorithmквантовый алгоритмнаибольший общий делительбинарный алгоритмрекурсивный алгоритмитерационный алгоритм
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