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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Communication clarity in calls for papers issued by journal special issues: First impressions matter

Learned Publishing. 2021. Vol. 34. No. 2. P. 156–163.
Plakhotnik M. S.

The purpose of this study was to examine communication clarity in calls for papers issued by peer reviewed journals for special issues. I wanted to explore what could hinder and help guest editors to communicate their intent to potential contributors. I searched peer reviewed journals in the field of human resource management published by five leading publishers, including Emerald, Sage, Wiley, Taylor & Francis, and Elsevier. Forty-seven journals were identified, and the sample included 33 calls for papers that I examined using content analysis. The results showed that many guest editors include a problem statement; purpose statement including explicative statements and specifications; and research questions, topics, or themes. Based on this result, I created a composite profile that describes how guest editors typically craft their calls, including the average number of sources, topics, and paragraphs. I also identified eight additional tools guest editors use to increase clarity of their calls. Additionally, my analysis indicated that guest editors vary greatly in their approaches to crafting calls for papers. I identified a number of inconsistencies, inaccuracies, omissions, and redundancies that could confuse or discourage potential contributors. Journal editors could use the results of this study to examine their editorial strategies and practices and revise and improve their guidelines and templates related to special issues and their calls. Special issue guest editors might use the study results to increase the chances of receiving quality submissions.

Research target: Media and Communications
Priority areas: management
Language: English
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Keywords: human resource managementcommunication strategypublishing industryjournal strategic development
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