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  • Microsoft Office: от начинающего пользователя до профессионала: Учебно-методическое пособие в 2 частях. Часть 2. Основы офисного программирования
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News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Microsoft Office: от начинающего пользователя до профессионала: Учебно-методическое пособие в 2 частях. Часть 2. Основы офисного программирования

Ч. 2: Основы офисного программирования. Perm : Пермский государственный национальный исследовательский университет, 2007.
Lyadova L. N., Lanin V.
Research target: Education Computer Science
Priority areas: IT and mathematics business informatics
Language: Russian
Full text
Keywords: Microsoft OfficeMicrosoft WordMicrosoft Excelосновы программированияMicrosoft WindowsVBAVisual Basic for Applicationsпринципы разработки приложенийосновы алгоритмизациитехнология ActiveXOLE AutomationODBCDAOпозднее связываниеавтоматизация документов
Microsoft Office: от начинающего пользователя до профессионала: Учебно-методическое пособие в 2 частях. Часть 2. Основы офисного программирования
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This article investigates the phenomenon of enduring informal multi-age communities contributing to adolescent upbringing. The conditions for the establishment and the factors ensuring the endurance of such communities are identified through the example of three organizations: the “Nadezhda” unit, the Children and Youth Organization “Ostrov Sokrovishch” (Treasure Island), and the “Karavella” (Caravel) unit. As for ...
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Education Policy and Urban-Rural Disparities in Schooling in Post-Soviet Countries
Iskakova B., Kosaretsky S., Zair-Bek S. I. et al., Journal of Economic Sociology 2026 Vol. 27 No. 3 P. 99–128
The issue of urban-rural inequality is recognised as one of the most pressing and unresolved challenges, particularly in post-Soviet countries. This article examines territorial inequality in educational outcomes across seven post-Soviet countries: Estonia, Latvia, Lithuania, Russia, Moldova, Georgia, and Kazakhstan. The study analyses how students’ PISA test scores vary by urban–rural location and investigates whether ...
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A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
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Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
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Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning
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Added: April 2, 2025
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