SCI Библиотека

Introduction/purpose: The application of virtual reality (VR) and simulation technologies in military training offers cost-effective and versatile approach to training enhancement. However, prevalence of cybersickness (CS), characterized by symptoms such as nausea, limits their widespread use.

Methods: This study introduces objective parameters for the detection of CS using three-channel electrogastrogram (EGG) recording from one specific subject and assesses the independence and linear correlation for appropriate channel selection. The paper employs a 3-level discrete wavelet transformation (DWT) on the chosen channel to identify key parameters indicative of gastric disturbances. Furthermore, the paper investigates recovery from CS following VR and examines the application of unsupervised machine learning (ML) for segmenting EGG into baseline and CS, utilizing significant features previously identified.

Results and discussion: The analysis reveals no significant differences across EGG channels and moderate to low linear correlation between channel pairs. The feature selection demonstrates that the root mean square of the amplitude as well as the maximum and mean values of the power spectral density (PSD) calculated on all DWT coefficients, are effective for CS detection while the dominant EGG scale could not indicate CS for any level of decomposition. Furthermore, recovery signs appear approximately 8 minutes after the first VR experience supporting the idea of conducting multiple sessions the same day i. e., intensive VR-based training.

Conclusions: The unsupervised ML shows potential in identifying CSaffected EGG signal segments with feature extraction based on DWT, offering a novel approach for enhancing the prevention of CS occurrence in VR-based military training and other VR-related environments.

Introduction/purpose: Temperature and time-dependent effects such as concrete shrinkage and creep significantly affect the behavior of steel-concrete composite beams. Hence, taking into account the demands brought by these additional effects is necessary. This necessity has resulted in various theoretical and numerical research studies. This article proposes an analytical tool capable of predicting a new redistribution of stresses brought by the combined action of temperature and concrete shrinkage in composite steel-concrete beams in partial shear connection. In this work, the partial shear connection at the steel-concrete interface is taken into account according to the degree of connection (N/Nf).

Methods: This involves reformulating the model proposed in 2024 by Rahal et al analyzing the behavior of composite steel-concrete beams in full shear connection under the effect of temperature and concrete shrinkage. In this present study, the main contribution is the introduction of the effect of the connection degree (N/Nf) at the steel-concrete interface, thus leading to an analytical model capable of predicting additional stresses brought by shrinkage and temperature in composite steel-concrete beams in partial shear connection.

Results: When referred to the model proposed in 2024 by Rahal et al, the results from this current approach are satisfactory. They clearly show that the degree of connection significantly affects the forces brought about by the combined action of concrete shrinkage and temperature.

Conclusion: The results of the present approach and those of the existing model developed by Rahal et al are in good agreement. They clearly show the effect of concrete shrinkage and temperature as a function of the connection degree N/Nf on the behavior of composite steel-concrete beams.

Introduction/purpose: Wheeled armored combat vehicles are combat systems that are increasingly present in modern armed conflicts, especially in operations against asymmetric threats. The global wheeled armored vehicle market is constantly growing, which reflects their application in a wide range of missions and tasks of armed forces. The existence of numerous models of these vehicles with different technical and exploitation characteristics, along with the possibility of adaptation to specific needs, further complicates the choice of the most suitable alternative. The paper presents the case of solving the problem of selecting the most suitable multi-purpose medium-class wheeled armored vehicle with a 4x4 drive formula when choosing one of the four alternatives, using individual and group multi-criteria decision-making methods.

Methods: In the paper, the methods of multi-criteria decision making were applied to solve problems in the field of complex combat systems selection. Experts from the field of tactics with weapon systems have ranked the alternatives following the defined criteria using the AHP (Analytic Hierarchy Process) and the PROMETHEE II (Preference Ranking Organization Method for Enrichment Evaluations II) methods. The results obtained by individual decision making were subjected to the Condorcet method of group decision making to make a final decision.

Result: Selection of the most suitable vehicle by the defined criteria.

Conclusion: Solving the problem involves taking into account the views of military experts regarding the optimization of multiple criteria to provide the best performance vehicle suitable for use in various missions. The choice of a multi-purpose wheeled armored combat vehicle is a complex process influenced by numerous factors that cannot be analyzed objectively without the application of adequate mathematical models.

Introduction/purpose: The study of the theory of fuzzy sets was prompted by the presence of uncertainty as an essential part of real-world problems, leading Zadeh to address the problem of indeterminacy. The notion of fuzzy logic was introduced by Zadeh. Unlike traditional logic theory, where an element either belongs to the set or does not, in fuzzy logic, the affiliation of the element to the set is expressed as a number from the interval [0, 1].

Methods: The theory of a fixed point in fuzzy metric spaces can be viewed in different ways, one of which involves the use of fuzzy logic. Fuzzy metric spaces, which are specific types of topological spaces with pleasing ”geometric” characteristics, possess a number of appealing properties and are commonly used in both pure and applied sciences. Metric spaces and their various generalizations frequently occur in computer science applications. For this reason, a new space called a Pompeiu-Hausdorff fuzzy b-metric space is constructed in this paper. Results: In this space, some new fixed point results are also formulated and proven. Additionally, a general common fixed point theorem for a pair of multi-valued mappings in Pompeiu-Hausdorff fuzzy b-metric spaces is investigated. The findings obtained in fuzzy metric spaces, such as those discussed in the article of Shen, Y. et al. (2012. Fixed point theorems in fuzzy metric spaces. Applied Mathematics Letters, 25, pp.138-141), are generalized by the results in this paper, and additional specific findings are produced and supported by examples.

Conclusions: The study of denotational semantics and their applications in control theory using fuzzy b-metric spaces and Pompeiu-Hausdorff fuzzy b-metric spaces will be an important next step.

The article aims to outline bloggings as a complex social phenomenon and identify the current role of blogs in virtual reality. The literature review revealed that the evolving paradigm of civilizational growth has led to a hybrid environment, which combines the aspects of physical world and virtual reality artefacts, resulting in a unique media landscape, significantly impacting sociocultural and communicative dynamics. However, the field lacks studies on typical features of blogosphere, such as its inherent openness, fostering informal communication, intention to both monetization and self-expression. To address the study’s objectives the research adopts an integrative interdisciplinary approach, including socio-philosophical and semiotic cultural studies, theory of computer communication, network and Internet discourse studies to use data from various fields of humanitarian knowledge. It is concluded that originally created as online diaries, currently blogs as a diverse media platform demonstrate several unique features, including high personalization, audience feedback capabilities, constant user engagement with various types of information (verbal, audial, visual). These characteristics positioned blogs as key contributors to the growth of virtual sociality, leading to the emergence of a new type of society characterized by heightened human sensory experiences and the development of new empathetic models and behavioral attitudes. A notable sign of these changes is that the audience’s attention has shifted from professional media institutions to individual bloggers, who are increasingly adopting media-like behaviors. The current research adopts an interdisciplinary approach, merging socio-philosophical and semiotic cultural studies, as well as with theory of computer communication, network and Internet discourse studies. It also employs methods of Internet linguistics and the principles of pragmalinguistics; the axiological method helps to identify value-based sociocultural guidelines within the framework of globalization.

This study aims to investigate the impact of avatar identification on the intention to share by examining the mediating role of user immersion and the moderating effect of perceived social distance. For this, we collected 228 higher education students in South Korea through a survey and used hierarchical regression with SPSS 24.0. In the results, first, it showed that participants who perceived higher levels of similarity identification, wishful identification, and embodied presence in their avatars in the metaverse platform were more immersed in their avatars. Second, participants who perceived greater embodied presence in their avatars had a stronger intention to share their avatars through immersion. Finally, the positive relationship between perceived embodied presence and immersion was more significant for participants in metaverse platforms with higher perceived social distance compared to those with lower perceived social distance. This study is the first to examine the integral model of avatar identification factors in the metaverse platform. And, this study’s results show the mechanism by which avatar identification enhances the intention to share.

In order to promote cultural variety, encourage local involvement, and provide a voice to underrepresented groups, community radio stations (CRS) have become essential venues. Using information from 339 publications in the English language indexed in the Scopus database between 2000 and 2024, this bibliometric analysis attempts to map the research landscape on CRS methodically over the previous 20 years. This timeframe was chosen to capture significant developments in community radio stations, including policy shifts, technological advancements, and the rise of CRS movements in regions like South Asia, Africa, and Latin America. The analysis pinpoints important patterns in the field’s publication output, research hotspots, significant writers, and foundational publications. The data shows a consistent rise in scholarly interest, especially concerning the contribution of CRS to media democratization, community empowerment, and social transformation. A thematic analysis reveals recurrent research themes, such as CRS’s role as an alternative medium, how it affects local development, and the difficulties it faces in maintaining operations. Citation analysis reveals patterns of scholarly collaboration by highlighting the most significant publications and the growth of research networks. This study highlights how CRS has influenced the media environment and how they might support community-based projects. This work advances theoretical knowledge of CRS’s development and continued significance by thoroughly analyzing the scholarly discourse on the subject.

“Femvertising”, advertising that adopts the perspective of females, has become a popular global marketing strategy. Some Chinese brands are adopting it in their marketing communication. However, studies on audience response to femvertising mainly focus on Western consumers. Relevant research studies, particularly those with young consumers, are still scarce in China. This qualitative study aims to fill the research gap and examine young consumers’ responses to femvertising and its perceived effectiveness. Focus group interviews were conducted in March 2023 with three groups comprising female university students, male university students, and working females aged 20 to 25. The results showed that participants paid much attention to the advertising execution style and storytelling skills of femvertising. Liking of a specific feminist advertisement would enhance the brand image. However, a brand’s historical portrayal of female influences the communication effectiveness of its femvertising. An abrupt adoption of femvertising creates doubts and reservations. Female and male participants had different attitudes toward femvertising. As expected, female participants showed more appreciation of femvertising than male participants.

The Elgar Encyclopaedia of Cross-Cultural Management is a series of chapters written by academic experts on the study of culture in world business management. Edited by Professor Audra Mockaitis of Maynooth University in Ireland and Professor Christina Butler of Kingston Business School in Kingston University in the UK, the articles are written by seventy-eight university teachers from all over the world examining international business cultural management issues. The book contains 77 chapters, some as short as two pages long, and examines the role of cultural understanding in international business management, each chapter containing references to sources at the end.

Hashtags are high-visibility linguistic constructs that promote cultural alignment and index ideological stances in digital environments. Although hashtags are becoming more and more popular among academics as online communication tools, little is known about how they contribute to the practical reproduction of cultural norms. Few research has looked at the language processes by which these values are passed down or reframed, despite the fact that sociological theories of cultural reproduction have long studied how customs and norms endure over generations. This study intends to fill this gap, to which end it examines how hashtags serve as practical language tools in the reproduction of cultural values in online conversation. The study uses a qualitative-pragmatic discourse analytic framework to address this question and utilises information from indexicality theory, digital discourse analysis, and language pragmatics. A multi-step interpretative approach was used to examine a deliberately and theoretically collected dataset of 90 English-language social media postings (January 2020– March 2025), which included 288 thematically significant hashtags. Indexicality, framing, pragmatic function, and presupposition were among the analytical categories. The results show that hashtags are used to index identification and ideological alignment, encode stance, and assume common cultural knowledge. Hashtags served as framing mechanisms that placed the user inside cultural narratives, and many posts featured binary oppositions (such as tradition vs. modernity). Notably, hashtags also made it easier to engage with conventional values in a critical and sarcastic way, which proved their ability to both reproduce and challenge cultural norms. According to the study’s findings, hashtags are pragmatically dense units that contribute to the perpetuation of cultural norms in online conversation. They serve as symbolic tools of continuity and emphasise the crucial function that language use in context plays in contemporary processes of social identity construction and cultural transmission.