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June 11, 2026
Doctoral Student at HSE University Reveals Hidden Layout of Ancient Parion
İdil Malgil, a researcher at HSE University, conducted a UAV-based LiDAR survey of the ancient Roman city of Parion in present-day Turkey. The high density of the scans allowed the team to detect subtle terrain features concealed beneath the ground and vegetation. The survey revealed traces of entire neighbourhoods, terraced structures, and walls that had remained invisible during routine excavations and could not be identified through aerial photography. The findings have been published in Ancient Civilizations from Scythia to Siberia.
June 11, 2026
Mathematicians from Nizhny Novgorod and Shanghai Study System Stability
Mathematicians at HSE University–Nizhny Novgorod, in collaboration with colleagues from Tongji University in Shanghai, are investigating the fundamental causes of structural stability in systems and the mechanisms underlying its disruption. In this interview with the HSE News Service, Prof. Olga Pochinka, Head of the International Laboratory of Dynamical Systems and Applications at HSE University–Nizhny Novgorod and leader of the project ‘Qualitative Theory of Systems of Ordinary and Partial Differential Equations,’ discusses the project, which is being implemented as part of HSE University's International Academic Cooperation programme.
June 11, 2026
Neurolinguists Assist in Awake Surgery on 11-Year-Old Patient with Epilepsy
Researchers at the HSE Centre for Language and Brain took part in a rare awake neurosurgical procedure performed on an 11-year-old patient with drug-resistant epilepsy. Working alongside surgeons at the Voyno-Yasenetsky Centre of Specialised Medical Care for Children in Solntsevo, they monitored the resection of a portion of the left temporal lobe, where the epileptic focus had been identified.

 

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Имитационное моделирование цепей поставок на основе системной динамики

Логистика и управление цепями поставок. 2020. № 1 (96). С. 47–56.
Bazhina D., Lukinskiy V., Nikolaevskiy N.

The article covers issues of supply chain modeling being an important step in the decision-
making process. Logistics and supply chain management consider movement and transition
of material flow as well as financial, information and other flows associated with it. The
characteristics of a flow must be measured considering the dynamics of the flow movement.
This determines the importance of simulation modeling in decision-making support system as
the approach involves the implementation of modeling system algorithm functioning in a virtual
time environment.
The literature analysis, on the one hand, allowed to conclude that the traditional approach
to functioning process characteristics determination involving consistent problem solving on
the level of supply chain element, is limited or not reflecting the specifics of real processes
where the parameters variability in time is possible. On the other hand, there is lack of specific
recommendations on building models based on principles of system dynamics as a simulation
modeling tool which allows to consider process characteristics variability. This determines
the aim of the research a part of which presents supply chain simulation model
illustrating the possibilities of the approach. The results of the work can be used both in practice
for industrial enterprises and for future research.

Research target: Economics and Management
Priority areas: management
Language: Russian
Full text
Text on another site
Keywords: имитационное моделированиесистемная динамика system dynamicssimulation modeling
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