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September 25, 2026
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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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Late Quaternary dynamics of Arctic biota from ancient environmental genomics

Nature. 2021. Vol. 600. No. 7887. P. 86–92.
Wang Y., Pedersen M. W., Alsos I. G., De Sanctis B., Racimo F., Prohaska A., Coissac E., Owens H. L., Merkel M. K., Fernandez-Guerra, A., Rouillard A., Lammers Y., Alberti A., Denoeud F., Money D., Ruter A., McColl H., Larsen N. K., Cherezova A., Edwards M., Fedorov G., Haile J., Orlando L., Vinner L., Korneliussen T. S., Beilman D., Bjørk A., Cao J., Dockter C., Esdale J., Gusarova G., Kjeldsen K., Mangerud J., Rasic J., Skadhauge B., Svendsen J. I., Tikhonov A., Wincker P., Xing Y., Zhang Y., Froese D., Rahbek C., Nogues D. B., Holden P., Edwards N., Durbin R., Meltzer D., Kjær K., Möller P., Willerslev E.

During the last glacial–interglacial cycle, Arctic biotas experienced substantial climatic changes, yet the nature, extent and rate of their responses are not fully understood1,2,3,4,5,6,7,8. Here we report a large-scale environmental DNA metagenomic study of ancient plant and mammal communities, analysing 535 permafrost and lake sediment samples from across the Arctic spanning the past 50,000 years. Furthermore, we present 1,541 contemporary plant genome assemblies that were generated as reference sequences. Our study provides several insights into the long-term dynamics of the Arctic biota at the circumpolar and regional scales. Our key findings include: (1) a relatively homogeneous steppe–tundra flora dominated the Arctic during the Last Glacial Maximum, followed by regional divergence of vegetation during the Holocene epoch; (2) certain grazing animals consistently co-occurred in space and time; (3) humans appear to have been a minor factor in driving animal distributions; (4) higher effective precipitation, as well as an increase in the proportion of wetland plants, show negative effects on animal diversity; (5) the persistence of the steppe–tundra vegetation in northern Siberia enabled the late survival of several now-extinct megafauna species, including the woolly mammoth until 3.9 ± 0.2 thousand years ago (ka) and the woolly rhinoceros until 9.8 ± 0.2 ka; and (6) phylogenetic analysis of mammoth environmental DNA reveals a previously unsampled mitochondrial lineage. Our findings highlight the power of ancient environmental metagenomics analyses to advance understanding of population histories and long-term ecological dynamics.

Research target: Mathematics Biology
Language: English
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Keywords: Arcticgenomicsenvironmental DNA
Publication based on the results of:
Genomic population structure analysis and applications (2021)
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