Научный архив: статьи

Presenteeism is among the key factors that negatively affect employee efficiency and, therefore, company organizational performance. The existing measurement tools for assessing presenteeism highlight health-related issues as the main reason behind this counterproductive behaviour. On the other hand, other factors that influence modern business life and processes are omitted. The paper’s primary purpose is to develop a comprehensive measurement tool suitable for the individual and organizational multi-factor structure of presenteeism that accurately reflects the complex nature of today’s business world. Methodologically, the research is shaped within the framework of grounded theory. In the study, mixed methods research combining qualitative and quantitative methods was utilized. In this context, firstly, the authors conducted a literature review and focus group interviews with experts in the field in order to reveal the conceptual structure. We analysed the data using content analysis and then moved on to writing 18 scale items. We performed exploratory factor analysis using the SPSS program and confirmatory factor analysis using the AMOS program. As a result, we develop a four-dimensional scale for presenteeism covering work focus, stress management, social loafing, and performance. The verified multidimensional scale fills a vacuum in the literature by offering a comprehensive and dependable instrument to gauge presenteeism on organizational and individual dimensions. Among the possible avenues for further research are testing the scale in different cultural contexts and addressing the organizational causes of presenteeism

In the intersection of digital marketing and sustainability, emerging trends and innovations are shaping the landscape as businesses increasingly recognize the importance of environmental and social responsibility. The article is devoted to the impact of digital marketing solutions on the process of achieving sustainable development goals. It analyzes trends indicating a significant shift in consumer preferences towards environmentally friendly products and socially responsible consumer behavior. The article provides examples of several international campaigns that illustrate successful efforts contributing to sustainable development. The role of digital technologies in achieving sustainable development goals examined, emphasizing the necessity of integrating sustainability issues into corporate digital strategies

The article considers social aspects of rurbanization as a process when rural areas increasingly adopt urban characteristics, which blurs the lines between traditional rural and urban lifestyles. The article presents a comprehensive literature review and a topic modeling analysis to identify key issues when considering social aspects of rurbanization: the impact on mental health, theoretical changes in understanding social interactions, challenges and opportunities in the sustainable infrastructure development, the role of economic policies in balancing rural and urban needs, the influence of smart innovations on local governance and community engagement, changes in education and employment. The authors’ findings highlight both positive and negative effects of rurbanization, such as an enhanced access to urban amenities and increased social tensions. The authors emphasize the need for multi-faceted approaches to diverse challenges determined by rurbanization.

Every year the interest in software platforms for online learning among Russian customers continues to grow, which contributes to the activation of local companies specializing in the development of such systems. Recently, domestic manufacturers have started to actively promote their solutions for distance education, but it is premature to say that the market for such products in Russia has already been fully formed. This is confirmed by the fact that Russian companies often position their developments as unique, having no competitors in the domestic market. This situation is caused not so much by the desire to successfully promote their products as by the lack of studies that would analyze and compare Russian solutions in this area in detail. We hope that this article will help to change the current state of affairs.

At a time of rapid technological development, the field of education is also undergoing significant transformation. The introduction of digital tools is revolutionizing traditional teaching methods, opening up new opportunities for teachers and students. In this article, we will analyze how digital innovations are transforming the educational model and what benefits they provide.

Extraction of required information from atomic configurations is crucial for efficient use of molecular dynamics (MD) simulations, and automating this process allows the collection of statistical data to develop and validate physical models and data-driven approaches. Here we update the previously developed pore searching algorithm to automatically detect the events of void nucleation, collapse and coalescence by comparing pairs of atomic configurations. We calculate an intersection matrix, which shows common regions between voids of current and previous time frames, and analysis of this intersection matrix gives a numerical criterion for determination of the considered events. The updated algorithm is verified in the case of small MD system and further used to analyze a large MD system with many hundreds of voids. The predominance of void collapse is confirmed in the case of uniform triaxial tension of solid aluminum, while void coalescence instead of collapse is detected in the case of a more complex loading with axial compression and lateral tension. This dependence of the predominant mechanism on the loading path correlates with previous finite element analysis in the literature. Another interesting finding is a continuing nucleation and collapse of voids far beyond the fracture beginning at a level of negative pressure much lower than the spall strength, which can be attributed to a developed defect structure of material produced by plastic growth of voids.

The authors consider the dance sport as a sport. The history of the development of dance sports and its current state are presented. A review of scientific publications on this topic was conducted on the website of Elibrary. Different directions of sports dances are considered.

With the ability to enable remote trial sessions and promptly find and forward documents, digital technologies are increasingly used in judicial proceedings worldwide including Russia. However, in view of possible risks artificial intelligence is used at court only in the test mode, including for forensic examination of copyright works as a likely option. The article contains a discussion of the benefits and risks of AI when used for forensic examination. It is argued that AI can only serve as a tool for forensic examination, with shared approaches applicable to all copyright works to be developed and made available to judges, as well as expert opinion templates.

The paper presents an option for determination of phase loads in the primary distribution network using the results of state estimation of the secondary distribution network that are obtained by smart meter measurements installed at the load and generator nodes. The problem of state estimation in the secondary distribution network based on measurements of the active and reactive nodal powers and voltage magnitudes rather than by the Newton method traditionally used for this purpose is solved by a method of simple iterations. Efficiency of using the proposed approach for determination of phase loads of the primary distribution network for each hour of daily curve of nodal powers is illustrated by the example of a 32-node test network.

The paper presents the background of creation and development of Mongolia’s electric power industry and its current state. Despite considerable energy resources, the country suffers from electric power shortage that is covered by electricity supplied from Russia and China. The expected considerable power consumption growth can be met by doubling generating capacities, enhancing electrical networks and by interconnecting the five existing electric power systems (EPSs) into an Integrated Power System (NPS) of Mongolia as a future component of the Northeast Asian Super Grid. To accomplish these tasks, we propose a number of conceptual structural and technological models for the development of Mongolian electric power systems that can form a basis for the future Integrated Power System of Mongolia.

The progressing distribution of the electricity supply necessitates redesigning the mechanism for providing ancillary services particularly by the distribution grid. Methods of voltage regulation and congestion management particularly have to satisfy new standards since, although the development of renewables is increasing the number of resources with an impact, these resources’ individual contribution is comparatively slight. Taking the state-of-the-art and the basic regulatory conditions in Germany as a point of departure, this paper analyzes the requirements for algorithms and communication systems that provide distributed support to distribution grid operation. A novel mathematical method that prevents voltage range deviations and feeder overloads based on sensitivities is presented and validated in simulations by a case study. An analysis of the communications systems for monitoring and control technologies for distributed energy resources, including the available communication channels, serves as the basis for an evaluation of the suitability of current control mechanisms in the future. The findings of a live field test in a real 110 kV distribution grid corroborate the necessity for coordinated grid support by distributed energy resources and demonstrate the limits of current methods.

In recent years, artificial intelligence methods have been developed in various fields, particularly in education. The development of computer systems for student learning is an important task and can significantly improve student learning. The development and implementation of deep learning methods in the educational process has gained immense popularity. The most successful among them are models that consider the multimodal nature of information, in particular the combination of text, sound, images, and video. The difficulty in processing such data is that combining multimodal input data by different channel concatenation methods that ignore the heterogeneity of different modalities is an inefficient approach. To solve this problem, an inter-channel attention module is proposed in this paper. The paper presents a computer vision-linguistic system of student learning process based on the concatenation of multimodal input data using the inter-channel attention module. It is shown that the creation of effective and flexible learning systems and technologies based on such models allows to adapt the educational process to the individual needs of students and increase its efficiency.