Internationalization Policies and Strategies From the Comparative Standpoint of Student Mobility in Slovenian and Turkish Higher Education

This chapter explores the development and implementation of internationalization policies, strategies, and practices from the standpoint of student mobility. It considers Slovenia and Turkey as the two countries forming the European Higher Education Area which have not received much attention from comparative researchers dealing with higher education. To this end, it initially investigates each country case individually by analyzing student mobility in national and institutional internationalization policies and strategies and its implementation in practice. On this basis, it provides the necessary background for the continuing debate, in which it evaluates the main similarities and differences in the field from the comparative perspective of both countries examined. Methodologically, the chapter is based on a thorough analysis of multiple documentary sources and most recent secondary data obtained from national and international statistical databases.

The mechanisms of sociopolitical mobilization of youth on the example of Russian, Belarusian and Chinese Telegram channels

The subject of this research is the online and offline mechanisms of sociopolitical mobilization of youth, namely digital grouping and formation of digital communities, as well as the opposition-mobilization model of information distribution developed by E. V. Brodovskaya and A. Y. Dombrovskaya. This model was tested on the open statistical databases provided by “Telegram Analytics” and “Google Trends”, which revealed the key patterns and differences in the protest events that unfolded in Moscow (July 14 – September 29, 2019), Minsk (August 9 – November 19, 2020), and Hong Kong (June 12, 2019 – July 1, 2020). The novelty of this research lies in the following: 1) application of the model of information distribution developed by E. V. Brodovskaya and A. Y. Dombrovskaya to the data array obtained by the author from the statistical database of “Telegram Analytics” and “Google Trends” regarding the protest events in Moscow, Minsk, and Hong Kong; compilation of weekly charts of the activity of protest Telegram channels and building histograms based on them, with visualization of their peak mentioning in other Telegram channels during the indicated periods. The author formulates recommendations on how to avoid the escalation of conflict during protest actions, taking into account mobilization mechanisms on the basis of Telegram channels.

Letecká doprava v době koronavirové pandemie a její další perspektivy

The paper focuses on world air transport. Its development and new tendencies are recalled. The main attention is paid to consequences of the SARSCoV-2 pandemic on world air transport and international tourism, including regional differences. The author also outlines problems with a state support for selected airlines and the absence of this assistance to Czech Airlines (CSA), which is in a danger of extinction. Numerical data come from relevant statistical databases and are concentrated in 4 tables and 11 graphs.

Reviving villages – a proposal for a concept and identification. A methodological approach

The methodological paper proposes a new concept of a reviving village and research methods to identify it. “Reviving” entails various symptoms of increasing intensity in socio-economic processes in areas which have long been in decline, and have been classified as problem regions with signs of marginality and peripherality. To identify the reviving villages we used a combination of diverse datasets and sources of information (i.e. statistical databases, cartographic materials, field research). We critically assessed the available data pointing out to its limitations. The new methodology was tested in the borderland of the Kłodzko region in the Sudetes Mountains (Poland). Proposed research procedure can be applied to any other marginal, depopulating rural areas to identify their potential current transformations.

Prospects for the use of criteria for assessing the effectiveness of the development of information and library institutions

The article examines the ongoing reforms in Uzbekistan, in particular, analyzes the decrees, concepts and programs for the development of the information and library sphere. The author examines research conducted abroad on the development of special criteria for assessing the effectiveness of information and library activities, the creation of statistical databases. Taking into account international experience, a solution to this issue is proposed.

Statistics and Management Systems of Unwanted Domestic and Foreign Fire Alarms

In the event of a fire and a disaster, prompt and accurate alarms inside and outside the building are directly related to the minimization of damage and the success of life evacuation. However, due to unwanted fire alarms in automated fire detection systems, the number of dispatches by misunderstanding in the 119 service is increasing. This causes the insensitivity to the safety of building managers and the waste of the fire-fighting power. Therefore, in this study, the statistical databases and literature on unwanted fire alarms in Korea and abroad (USA, UK) were identified and the management systems for unwanted fire alarms were compared and analyzed to identify problems of statistics in the management systems for unwanted fire alarms.

Building a land statistics, testing database

Although the statistics and land inventory from 2014 up to now have made much progress, the Natural Resources and Environment sector, as well as many production units, have put in application some software and supporting tools such as TK2015, gCadas, VietMap XM, TKDesktop 2019, etc. However, these software are mainly manual or semi-automatic, not organized to comply with database standards, while the control of the additional investigation, data editing, must be manipulated, updated many times, so the application of the above software in reality still faces many difficulties and expensive. In order to effectively and synchronously perform land statistics and inventory, additional studies and proposals for scientific and technological improvement are necessary. This article presents a new approach for the purpose of thorough automation in land statistics and inventory based on proposing effective implementation solutions and building statistical databases and land inventory according to current regulations.

Digitization in the Transport Sector: Development Trends and Indicators. Part 2

The part 2 continues presenting the results of the study devoted to the assessment of the digital technologies’ impact on various industries, in order to define the tendencies of digitalization in Ukraine and the world. It is emphasized that various international statistical databases which specifics depends on the study’s objective are important for international comparisons. Due to the rapid development of technologies for collection, processing and communication of information, many organizations could perform various studies at macrolevel on the global economy scales, using international and national statistical databases covering nearly all the dimensions of the global development and including the indicators measuring digitalization processes in national economies and their segments. Consideration is given to the database indicators measuring digitalization trends, with selecting the indicators reflecting these processes in individual economies and related to digital transformations in the transport. The particular attention is paid to the Ukraine’s position in these international databases and the completeness of information on relevant indicators in Ukraine. A comparison of the selected indicators with the indicators of digitalisation in the transport sector in the official statistical database was carried out, and the systematization of these indicators was made in order to further improve the official statistical database by including in it the indicators on the development of information and communication technologies in the transport sector. The careful study and analysis of international and national statistical databases allowed for creating a set of indicators on digitalization in the transport sector, with including the indicators in it reflecting the dissemination of information and communication technologies in the transport sector and characterizing digital transformations in the transport. The proposed set of indicators is dynamic and can be complemented by other indicators in the process of digital transformations in the transport sector. Given the current global trends of the growing penetration of digital technology in all the spheres of human activity, this set of indicators can be used not only to monitor these processes in the transport sector, but also in the management practices.

Encrypted Databases for Differential Privacy

The problem of privatizing statistical databases is a well-studied topic that has culminated with the notion of differential privacy. The complementary problem of securing these differentially private databases, however, has—as far as we know—not been considered in the past. While the security of private databases is in theory orthogonal to the problem of private statistical analysis (e.g., in the central model of differential privacy the curator is trusted) the recent real-world deployments of differentially-private systems suggest that it will become a problem of increasing importance. In this work, we consider the problem of designing encrypted databases (EDB) that support differentially-private statistical queries. More precisely, these EDBs should support a set of encrypted operations with which a curator can securely query and manage its data, and a set of private operations with which an analyst can privately analyze the data. Using such an EDB, a curator can securely outsource its database to an untrusted server (e.g., on-premise or in the cloud) while still allowing an analyst to privately query it. We show how to design an EDB that supports private histogram queries. As a building block, we introduce a differentially-private encrypted counter based on the binary mechanism of Chan et al. (ICALP, 2010). We then carefully combine multiple instances of this counter with a standard encrypted database scheme to support differentially-private histogram queries.