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July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
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Researchers at the International Laboratory of Microphysiological Systems of the HSE Faculty of Biology and Biotechnology investigated how different isoforms of the same microRNA influence gene function in prostate adenocarcinoma. The study found that in some cases, microRNAs can reinforce each other’s effects by targeting and suppressing the same genes. This finding offers a fresh perspective on the molecular mechanisms underlying tumour development and on the search for disease biomarkers. The results have been published in PeerJ.

 

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Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018

Springer, 2018.
Academic editor: van der Aalst W., Ignatov D. I.

This book constitutes the proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts, AIST 2018, held in Moscow, Russia, in July 2018.

The 29 full papers were carefully reviewed and selected from 107 submissions (of which 26 papers were rejected without being reviewed). The papers are organized in topical sections on natural language processing; analysis of images and video; general topics of data analysis; analysis of dynamic behavior through event data; optimization problems on graphs and network structures; and innovative systems.

Chapters
Neural Approach to the Discovery Problem in Process Mining
Shunin T., Zubkova N., Sergey Shershakov, , in: Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018.: Springer, 2018. P. 261–273.
Process mining deals with various types of formal models. Some of them are used at intermediate stages of synthesis and analysis, whereas others are the desired goals themselves. Transition systems (TS) are widely used in both scenarios. Process discovery, which is a special case of the synthesis problem, tries to find patterns in event logs. ...
Added: June 21, 2018
Constructing Regular Expressions from Real-life Event Logs
Tarantsova P. D., Kalenkova A. A., , in: Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018.: Springer, 2018. P. 274–280.
Process mining is a new discipline aimed at constructing process models from event logs. Recently several methods for the discovery of transition systems from event logs were introduced. Considering these transition systems as finite state machines classical algorithms for deriving regular expressions can be applied. Regular expressions allow representing sequential process models in a hierarchical way, using sequence, choice, and iterative ...
Added: October 15, 2018
Russian Q&A Method Study: From Naive Bayes to Convolutional Neural Networks
Nikolaev K., Malafeev A., , in: Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018.: Springer, 2018. Ch. 12 P. 121–126.
This paper deals with automatic classification of questions in the Russian language. In contrast to previously used methods, we introduce a convolutional neural network for question classification. We took advantage of an existing corpus of 2008 questions, manually annotated in accordance with a pragmatic 14-class typology. We modified the data by reducing the typology to ...
Added: February 15, 2019
Extraction of Hypernyms from Dictionaries with a Little Help from Word Embeddings
Karyaeva M., Braslavski P., Kiselev Y., , in: Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018.: Springer, 2018. P. 76–87.
The paper investigates several techniques for hypernymy extraction from a large collection of dictionary definitions in Russian. First, definitions from different dictionaries are clustered, then single words and multiwords are extracted as hypernym candidates. A classification-based approach on pre-trained word embeddings is implemented as a complementary technique. In total, we extracted about 40K unique hypernym ...
Added: March 11, 2019
Research target: Computer Science
Priority areas: IT and mathematics mathematics
Language: English
Text on another site
Keywords: process mining
Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018
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