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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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ChronosServer: real-time access to “native” multi-terabyte retrospective data warehouse by thousands of concurrent clients

P. 151–161.
Rodriges Zalipynis R. A.

ChronosServer runs on a cluster of commodity hardware and possesses scalability, high availability, and fault tolerance properties. It turns vast amounts of already existing data into actionable intelligence with no changes to the source data files. ChronosServer discovers files on cluster nodes, analyses their structure, and provides format independent SQL-like query model to access their contents. It is capable to read compressed data directly in various formats, including NetCDF, GeoTIFF, GRIB, HDF and many others. This entirely preserves original file metadata as is, vital for its correct interpretation and processing by other software. New data added to the system in a seamless plug-and-play fashion by simple copying it to a cluster node reducing administration overheads. This allows existing software like GIS or statistical packages to operate on files in use by ChronosServer as well as unmodified legacy code to generate data for it. ChronosServer preserves operational infrastructure intact avoiding painful, time-consuming and error-prone data conversions while offering additional opportunities for data analysis.

Language: English
Text on another site
Keywords: access to datadata warehousefile format

In book

Научные труды Донецкого национального технического университета. Серия: информатика, кибернетика и вычислительная техника
Issue 14 (188). , Donetsk: Донецкий национальный технический университет, 2011.
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