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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.
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A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Experimental Geophysical Detection of Spatial and Temporal Variability of Urban Soil Properties

Eurasian Soil Science. 2025. Vol. 58. Article 74.
S. S. Bricheva, P. M. Shilov, Yurchenko A. P., Tarasova M. A., V. M. Matasov

The high variability of properties in urban soils and the abundance of anthropogenic inclusions that interfere with the propagation of electromagnetic fields are the reasons why they are seldom studied by geophysics. At the same time, geophysics is an efficient and fast way to diagnose soil structure and dynamics without affecting the functioning of the place, which is crucial when working in the city. In order to conduct a geophysical study of soils in the city, it is necessary to establish experimentally the relationship of electromagnetic properties with soil texture, moisture content, organic matter content, volume density of solid mineral matter, and some other characteristics of the soils. The purpose of our study was geophysical detection of spatial and temporal variations in urban soil properties using a lawn in Moscow as an example. Along with classical methods of soil description in reference pits and boreholes, we used ground-penetrating radar, electrical resistivity tomography, and electromagnetic induction methods in different seasons. To improve the accuracy of interpretation of geophysical data we analyzed the physical properties of soil horizons: particle size and water content, as well as electromagnetic parameters: complex dielectric permittivity and electrical resistivity. The integrated approach allowed to identify soil boundaries with a coefficient of determination of R2 = 0.54–0.88 and an error of 10 cm, to offer their interpretation and to study the seasonal dynamics of electromagnetic properties indirectly related to soil moisture.

Research target: Earth Sciences Effective Natural Resource Management
Language: English
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Keywords: Electromagnetic inductionground-penetrating radarelectrical resistivity tomographySUITMA
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