Internet Communication Research Articles

An Investigation of the Relationship between University Students’ Internet Addiction Levels, Social Anxiety, and Communication Skills

An Investigation of the Relationship between University Students’ Internet Addiction Levels, Social Anxiety, and Communication Skills

ENGLISH WORD FORMATION ON THE INTERNET

This paper examines the processes of word-formation in English on the Internet. More specifically, the present paper provides an overview of newly formed words in the context of Internet communication, their categorisation, coupled with analysis and discussion with a view to determining which (if any) word formation processes have been employed in the process of their creation. The paper attempts to capture the current trends of the English language used in popular areas of Internet interactions. The theoretical preliminaries have been divided into two distinct parts - the first half which presents general notions related to internet communication while in the second one the theory behind word-formation processes is presented in order to enable its application to the corpus originating from Internet data used in this study. As for the corpus and methodology in the study, the selected terms and expressions were extracted from various online sources (forum posts, chat logs or game screenshots) and analysed in order to determine which word-formation process they belong to. Hence the sections on abbreviations and acronyms, clips, conversions, compounds and blends, as the most productive word formation processes observed in the study. The study also looks at the popular notions of blog and tweet, as well as a particular focus on leetspeak which deals with words falling into this category but are formed via many different processes. The final section of the paper provides a summary of the findings and a conclusion to the inquiry into the nature of word-formation on the internet.

High-speed rail operations, the cross-regional mobility of highly skilled talent, and regional innovation—evidence from the Yangtze River delta in China

ABSTRACT The correlation between high-speed rail (HSR) and regional innovation is vital for studying the economic impacts of HSR. Using 2003–2018 panel data on prefecture-level cities in China’s Yangtze River Delta (YRD), this paper investigates the impact of HSR on regional innovation using a multiperiod difference-in-differences (DID) model. HSR operations have a significant positive impact on urban innovation, as supported by robustness tests. Heterogeneity analysis reveals a threshold effect of cognitive capital on the promoting effect of HSR on regional innovation that is maximized when cognitive capital capacity falls within the range of 0.1254 to 0.1876. Mechanism analysis suggests that HSR construction facilitates the cross-regional mobility of highly skilled individuals. This expanded movement increases innovation within cities due to the resulting knowledge spillovers. Moreover, HSR operations and civil aviation, as well as internet communication tools, play a significant complementary role in promoting regional innovation. This study deepens the understanding of the impact of HSR operations on regional innovation from the perspective of the interregional mobility of highly skilled people. Furthermore, ArcGIS is used to construct the ‘least cost path’ of the HSR network, providing a new approach to addressing the endogeneity of HSR station locations.

Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing

Wireless mesh networks (WMNs) have become a popular solution for expanding internet service and communication in both urban and rural areas. However, the performance of WMNs depends on generating optimized time-division multiple access (TDMA) schedules, which distribute time into a list of slots called superframes. This study proposes novel meta-heuristic algorithms to generate TDMA link schedules in WMNs using two different interference/constraint models: multi-transmit-receive (MTR) and full-duplex (FD). The objectives of this study are to optimize the TDMA frame for packet transmission, satisfy the constraints, and minimize the end-to-end delay. The significant contributions of this study are: (1) proposing effective and efficient heuristic solutions to solve the NP-complete problem of generating optimal TDMA link schedules in WMNs; (2) investigating the new FD interference model to improve the network capacity above the physical layer. To achieve these objectives and contributions, the study uses two popular meta-heuristics, the artificial bee colony (ABC) and/or genetic algorithm (GA), to solve the known NP-complete problems of joint scheduling, power control, and rate control. The results of this study show that the proposed algorithms can generate optimized TDMA link schedules for both MTR and FD models. The joint routing and scheduling approach further minimizes end-to-end delay while maintaining the schedule's minimum length and/or maximum capacity. The proposed solution outperforms the existing solutions in terms of the number of active links, end-to-end delay, and network capacity. The research aims to improve the efficiency and effectiveness of WMNs in most applications that require high throughput and fast response time.

ИНТЕРНЕТ-МЕМ ЕРЕКШЕЛІКТЕРІ

The article analyzes one of the Internet communication tools that has recently become widespread on social networks – the Internet meme. An Internet meme is a unique communicative unit consisting of a two-level structure: linguistic (verbal) and visual (graphic), which is the creation of network users, offering a certain subtext to the online community. The work describes the path of its origin and development, and also studies the ideas developed in scientific works. Taking into account the media nature of Internet memes and distinguishing them from other types of online messages, the factors influencing their rapid spread and popularization are determined. It is shown that this depends on its quality and competitiveness. It is clear that creating such an Internet meme requires considerable effort on the part of the author: the Internet meme must be creative, interesting, and its idea must be fresh and original. In this regard, it was concluded that some memes «live» on the network for a long time, others are forgotten the next day, others are even ignored, and others are suddenly «reborn» thanks to a random user

A Tamper-Resistant Broadcasting Scheme for Secure Communication in Internet of Autonomous Vehicles

As increasingly prevalent technologies in autonomous driving, 5G and the Internet of Things (IoT), Internet of autonomous vehicle (IoAV) technology is recognized as a technique that is capable of disruptively changing the way people travel and greatly improving the travel experience. In the IoAV scenarios, information dissemination is inseparable from the interaction between autonomous vehicles and smart infrastructure. However, existing efforts rarely focus on the secrecy, authenticity of interactive data and flexible one-to-many communication between autonomous vehicles. In this paper, we propose a tamper-resistant broadcasting (TRBS) scheme for secure communication, which handles the inefficiencies and insecurity of existing identity-based broadcast signcryption solutions. Not only can our TRBS protect communication data from being illegally accessed, forged, or tampered with by malicious vehicles, but it can also enable efficient and flexible secure information dissemination between autonomous vehicles. We also exhibit strict security proofs and experimental evaluations to demonstrate our TRBS is secure and efficient for real-world applications.

Information security narrative for cultural scientists, theorists and cultural workers

The purpose of the study is to determine the role, possibilities and theoretical principles of participation of cultural scientists, theorists and cultural workers in the development and implementation of measures to counter threats associated with the use of computer technologies and Internet communications. The subject of the study is the cultural narrative of scientific publications on information security in 2021–2023. The object of the study is the current risks to traditional values and identity caused by universal digital transformation and, after the start of a Special military operation in Ukraine in 2022, the aggravation of international relations with technologically leading countries and global Internet services based in the United States. The relevance of the topic is determined, in particular, by the approval by the Russian Government on December 22, 2022 of the «Concept of formation and development of the culture of information security of citizens of the Russian Federation». The research methodology is characterized by the application of a cultural paradigm (an approach to the culture of information security as a dynamic system of human activity), structural, functional and evolutionary methods. Publications in the journals HAC K1, K2 and Scopus Q1, Q2 were used as materials. The novelty of the article lies in the study of the potential of the cultural narrative of information security in solving the problem of forming a general civil culture of information security, professional and mass. The research was carried out within the framework of the state assignment of the Moscow State Pedagogical University on the topic of research «Cultural identity in the modern world: analytical models, methods of construction and forms of presentation» (state registration number AAAA-A19-119072590048-4). The result of the study is a conclusion about the increasing share and importance of socio-cultural factors in information security in comparison with technical ones. Cultural theory and cultural studies are defined as specialized disciplines for improving both professional and civil information security culture. The cultural paradigm of information security includes a system of interaction between the profile specialization of professional and general civil, mass culture of information security. The effectiveness of the creation of specialized training for cultural scientists, theorists and cultural workers in the field of professional and mass information security culture is predicted and proved.

The acceptance of traditional Chinese medicine among patients with Parkinson’s disease: A hospital survey

ObjectiveThe efficacy of medications for Parkinson’s disease (PD) tend to decline over time, which has a serious impact on patients’ health and quality of life. To some extent, traditional Chinese medicine (TCM) can resolve the distressing problem of ineffective dopaminergic medication in PD patients. The purpose of this study was to investigate the attitude, acceptance, and independent predictors of TCM in PD patients admitted to the outpatient department of a tertiary hospital. MethodsA cross-sectional study of PD patients was conducted in the outpatient department of a large tertiary hospital in Beijing from March 2022 to June 2023. A self-report questionnaire was developed to investigate PD patients’ attitudes and acceptance of TCM based on the questionnaire. Multivariate logistic regression analyses were also performed to further clarify the independent predictors influencing patients’ adoption of TCM therapy. ResultsA total of 397 patients completed the questionnaire, of which 78.09% were willing to be treated with TCM and 21.91% indicated that they were not willing to use TCM. Multifactorial logistic regression analysis showed that several parameters were correlated with a patient’s willingness to include TCM in their therapeutic regime. These included education level of a bachelor’s degree (odds ratio [OR) = 8.554; 95% confidence interval [CI]: 4.112–17.794; P < 0.001, vs junior high school education), living in an urban setting (OR = 8.022; 95% CI: 4.577–14.060; P < 0.001, vs rural), having other underlying diseases (OR = 5.126; 95% CI: 3.078–8.537; P < 0.001, vs none), having previously used TCM (OR = 3.083; 95% CI: 1.852–5.134; P < 0.001, vs not used), believing that TCM therapy is safe (OR = 3.530; 95% CI: 1.446–8.616; P = 0.006, vs not thought), believing that TCM therapy is effective (OR = 3.859; 95% CI: 1.482–10.047; P = 0.006, vs not understood), and being willing to discuss ongoing TCM therapy with an attending physician (OR = 62.468; 95% CI: 30.350–128.574; P < 0.001, vs not informed). ConclusionThis study initially investigated the acceptance, attitude, and independent predictors of TCM use among PD patients. To expand the prevalence of TCM use among patients with PD, we recommend to broadening the public outreach for TCM via contemporary means of Internet and broadcast communication, enhancing access to TCM services in rural communities, and strengthening the communication between doctors and patients.Please cite this article as: Wang P, Hong J, Tang ZQ, Gong BZ, Qi XR, Jiang H, Pan B, Chen Q. The acceptance of traditional Chinese medicine among patients with Parkinson’s disease: A hospital survey. J Integr Med. 2024; 22(2): 180–187.

Using Digital Nudges to Enhance Collective Intelligence in Online Collaboration: Insights from Unexpected Outcomes

The dramatic expansion of internet communication tools has led to the increased use of temporary online groups to solve problems, provide services, or produce new knowledge. However, many of these groups need help to collaborate effectively. The rapid development of new tools and collaboration forms requires ongoing experimentation to develop and test new ways to support this novel form of teamwork. Building on research demonstrating the use of nudges to shape behavior, we report the results of an experiment to nudge teamwork in 168 temporary online groups randomly assigned to one of four different nudge treatments. Each nudge was designed to spur one of three targeted collaborative processes (collaborator skill use, effective task strategy, and the level of collective effort) demonstrated to enhance collective intelligence in extant research. Our results support the basic notion that digitally nudging collaborative processes can improve collective intelligence. However, to our surprise, a couple of nudges had unintended negative effects and ultimately decreased collective intelligence. We discuss our results using structured speculation to systematically consider the conditions under which we would or would not expect the same patterns to materialize in order to clearly articulate directions for future research.

Information and Environmental Media Hygiene as an Object of Sociological Analysis

Relevance. The widespread use of modern information and communication technologies, in particular, social Internet media, forms a special space (media ecosystem), which has a significant impact on the formation of public opinion, values and behavior of people. Particularly significant in the realities of expanding the boundaries of the media space of the culture of modern society, in the context of human interaction and the media ecosystem, is the researchers' appeal to the problem of determining the basic principles of the information and environmental media hygiene, considered as the ability of society to resist the destructive influence of media discourse in the post-truth era and related to the study of the influence of the media on mental and moral health of a person. The purpose of this work is a sociological analysis of the information and environmental media environment as one of the directions of countering the risks and dangers of the modern media environment. Objectives: disclosure of the essence of the main risks and dangers of the modern media environment; analysis of the relationship between the concepts of "information hygiene" and "information and environmental media hygiene"; definition of the basic principles of information and environmental media hygiene both from the side of modern social media (primarily Internet communication) and from the side of modern active users of the media environment (both media consumers and media producers). Methodology. The article uses such general scientific methods as comparative analysis, synthesis, abstraction and generalization. The research is based on the basic principles of a systematic and structural-functional approach. An ecological approach to understanding the media space was chosen as the main theoretical and methodological guideline. Results. The paper presents the results of theoretical and methodological analysis of the phenomenon of information and environmental media hygiene. The basic principles of the information and environmental media hygiene are defined and formulated both on the part of modern social media (primarily Internet communication media) and on the part of modern active users of the media environment (both media consumers and media producers). Conclusions. The modern media space and the developed media environment, in addition to providing various benefits and privileges to meet the information needs of media users, also carries large-scale risks and dangers, which, first of all, include infodemia and infoxification. Due to the fact that these negative phenomena have serious consequences for society, it becomes especially important to define and develop the principles of information and environmental media hygiene, which must be observed both by modern social media (primarily Internet communication) and by active users of the media environment (both media consumers and media producers).

Мобильное обучение как тренд коммуникационой среды дополнительного профессионального образования

In modern society, Internet communication has changed the scenarios of education. Every day, the requirements for professional competencies in various fields of activity are changing, and the need for advanced training and professional retraining is growing. Mobile learning, which has become a trend of additional professional education, allows you to quickly form new professional competencies.&#x0D; &#x0D; The purpose of the article is to consider mobile learning as an actual trend of additional professional education. The issues related to the relevance of the use of mobile devices and technologies in the educational process are considered.&#x0D; &#x0D; Methodology, methods and techniques. The study was conducted using the method of formalized questionnaire (mass survey) to study the effectiveness of mobile learning in the process of obtaining additional professional education. The survey involved 16 graduates of the Higher School of Media, Communications and Design Faculty of Journalism of Chelyabinsk State University, training program "Advertising and public relations". To conduct the research, a questionnaire was developed, distributed using Google Forms. Students of Chelyabinsk universities took part in the study. The sample type is spontaneous. The sample outline is formed by registered users who have expressed interest in this online survey. The mechanism for selecting respondents is self-selection.&#x0D; &#x0D; Results. The results of a study of the effectiveness of mobile learning in the process of obtaining additional professional education are presented. The scientific novelty lies in the introduction into scientific circulation of the concept of mobile learning in the process of additional professional education.&#x0D; &#x0D; Practical significance. The identified trends will help the educational environment to prepare adequate responses to the identified challenges.

Mobile Adaptive Routing Algorithm for Road-Aware Infrastructure-Assisted Communication in Cognitive Internet of Vehicles

The Internet of Things (IoT) is expanding the capabilities of traditional vehicular ad-hoc networks (VANET) into the Internet of Vehicles (IoV). However, there are a few challenges that need to be addressed in order to enhance the intelligence of IoV, leading to the development of a new evolving technology called Cognitive Internet of Vehicles (CIoV). In this study, we propose a road-aware infrastructure-assisted and vehicle-to-vehicle (V2V) adaptive routing system to select the most efficient route for delivering data from the source to the destination vehicle, with the aim of reducing data delivery delay. The performance is measured and evaluated based on packet delivery ratio (PDR), average end-to-end (E2E) delay, and normalised routing overhead using MATLAB. By comparing the proposed mobile adaptive routing algorithm (MARA) with existing protocols, it has been examined and found to outperform the existing ones in terms of performance.

Концепт СЛАКТИВИЗМ и его реализация в сетевых дискурсивных практиках (на материале русского, английского и французского языков)

This publication is conducted in the stream of studying neology in the modern language influenced by the active use of internet communication and network discursive practices. The aim of the research is to identify the semantic and pragmatic characteristics of the linguistic realization of the concept of SLACKTIVISM. The social significance of the concept is asserted, its intersections and relationships with semantically similar concepts such as PROPAGANDA, ACTIVISM circulating in the modern networked information space are determined. The scientific novelty of the conducted research lies in providing a systematic description of a new, unstudied concept in domestic philology, on the basis of the Russian, English, and French languages. This includes accentuating the history of its emergence, the contradictory nature of its linguistic implementation in the digital discourse of new media, and network techno-discursive practices. As a result, the concept of SLACKTIVISM is portrayed as an expression of a new form of internet activity that contributes to social and political changes both on a narrow scale and in the broader geopolitical space. The linguistic level examination indicates preferences for figurative nominations and common means of representation in European languages and national-cultural specificity.

Current study on interaction design in automotive intelligent cockpit

In recent years, with the rapid development of Internet communication digital technology represented by artificial intelligence, Internet of Things, big data, the human-computer interaction of automobiles has also been further developed, showing a new look. As the main part of automotive interaction design, the digital, intelligent and Internet-oriented characteristics of intelligent cockpit are becoming increasingly obvious, especially in recent years, the intelligent cockpit design of new energy vehicles has broken the traditional interaction mode of automobile cockpit in the era of industrial machinery, and more intelligent and immersive interaction design is adopted. And the cockpit of the car not only has a single function for driving, but also provides a space for leisure and entertainment for the driver. Key technologies and design cases of cockpits and its interaction design were sorted out and summarized, and then the problems that cockpits interaction design faces and its future development were analyzed in this paper.

Network_Protocol_Entity_Extraction_Based_on_Few_shot_Learning

Knowledge Graph is a new way of knowledge collections, and building a protocol knowledge graph on RFCs can help us study and analyse network protocol better. Protocol entity extraction is one of the keys to constructing the network protocol knowledge graph.Because RFC (Request For Comments) contains detailed descriptions of basic Internet communication protocols, the protocol entities of the network can be obtained from it. However, the document format and wording are not uniform, which leads to the inability to complete the extraction task of network protocol entities based on traditional rule information extraction methods. Therefore, this paper proposes a network protocol entity extraction method based on Few-Shot Learning. This method can use a very small amount of labeled samples to extract network protocol entities from a large number of unlabeled samples and maintain high recognition accuracy. This method firstly mines as many potential network protocol entities as possible in the RFC document, and secondly performs accurate re-identification of the identified potential network protocol entities. Experiments show that using 5 manually annotated RFC documents to train our model, the accuracy of network protocol entity extraction reaches 88.4%. Compared with the existing methods, this method has higher accuracy and better robustness in terms of network protocol entity extraction, and it also has better identification ability for network protocol entities that have not appeared in the training set.

Review of the OSI Model and TCP/IP Protocol Suite on Modern Network Communication

Layered approaches to networking are possible. Network architects categorize protocols in order to simplify their designs. Each layer has its own protocol for talking to the outside world. Every component of the network implements some of the nth layer. Messages are sent back and forth between these parts. Layer n protocol data units [n-PDU] are the official name for these transmissions. All the steps necessary for efficient conversation are covered and these steps are organized into layers for easy comprehension. Layered architecture describes this kind of planning for a communications system. The OSI model is a framework for developing and implementing network-based software applications. It also serves as a basis for the development of new networking protocol hardware, and architectures. This document compares and contrasts the OSI Reference Model seven layers with those of the TCP/IP Model four. There are distinct roles at each successive level. All Internet communication duties may be traced back to the TCP/IP reference model.

Frequency-adjustable OAM antenna with co-divergent beams for IoT applications

A frequency-tunable Orbital Angular Momentum (OAM)-generating antenna array system is introduced for the first time to provide high-data-rate and secure communication for Internet of Things (IoT) infrastructures and devices. Propagation of simultaneous OAM modes brings about the high-data-rate and frequency tunability leads to interference suppression for secure communication. Regarding the design evolution of the proposed structure, the novel Multiple-Input-Multiple-Output (MIMO) antenna consisting of two input ports creates a 2 × 2 UCA, resulting in two 2 × 2 sub-UCA. Feeding each 2 × 2 sub-array with [0°, 90°, 180°, 270°] phase gradients in clockwise and counterclockwise states gives rise to dual-mode OAM-carrying waves with simultaneous excitation capability. It should be mentioned that each MIMO element owns frequency tunability, resulting in a frequency-adjustable dual-mode OAM antenna array. A prototypes of the suggested MIMO antenna as well as the OAM array are fabricated and measured. Changing the applied DC-voltage to the varactor diodes embedded in capacitive stubs of the antenna elements shifts the operating frequency in the MIMO antenna and consequently in the OAM array. Concerning the unique radiation characteristics of the OAM antenna, vortex beams having helical phase fronts are observed, confirming the generation of expected OAM waves. Therefore, it is asserted that the introduced structure, for the first time, proposes new features of frequency-tunability, and co-divergent simultaneous OAM propagation using the MIMO-UCA technique to provide high-data-rate and secure communication in IoT applications.

Leveraging Artificial Intelligence and Provenance Blockchain Framework to Mitigate Risks in Cloud Manufacturing in Industry 4.0

Cloud manufacturing is an evolving networked framework that enables multiple manufacturers to collaborate in providing a range of services, including design, development, production, and post-sales support. The framework operates on an integrated platform encompassing a range of Industry 4.0 technologies, such as Industrial Internet of Things (IIoT) devices, cloud computing, Internet communication, big data analytics, artificial intelligence, and blockchains. The connectivity of industrial equipment and robots to the Internet opens cloud manufacturing to the massive attack risk of cybersecurity and cyber crime threats caused by external and internal attackers. The impacts can be severe because the physical infrastructure of industries is at stake. One potential method to deter such attacks involves utilizing blockchain and artificial intelligence to track the provenance of IIoT devices. This research explores a practical approach to achieve this by gathering provenance data associated with operational constraints defined in smart contracts and identifying deviations from these constraints through predictive auditing using artificial intelligence. A software architecture comprising IIoT communications to machine learning for comparing the latest data with predictive auditing outcomes and logging appropriate risks was designed, developed, and tested. The state changes in the smart ledger of smart contracts were linked with the risks so that the blockchain peers can detect high deviations and take actions in a timely manner. The research defined the constraints related to physical boundaries and weightlifting limits allocated to three forklifts and showcased the mechanisms of detecting risks of breaking these constraints with the help of artificial intelligence. It also demonstrated state change rejections by blockchains at medium and high-risk levels. This study followed software development in Java 8 using JDK 8, CORDA blockchain framework, and Weka package for random forest machine learning. As a result of this, the model, along with its design and implementation, has the potential to enhance efficiency and productivity, foster greater trust and transparency in the manufacturing process, boost risk management, strengthen cybersecurity, and advance sustainability efforts.

Novel Signal Detectors for Ambient Backscatter Communications in Internet of Things Applications

Novel Signal Detectors for Ambient Backscatter Communications in Internet of Things Applications

THE ROLE OF MARKETING INTERNET COMMUNICATIONS IN THE RE-ENGINEERING OF BUSINESS PROCESSES OF TOURIST ACTIVITIES

Purpose. Research and analyze the significance of marketing internet communications in reengineering business processes within the tourism activities sector. Design/methodology/approach. The following methods were used in research: theoretical generalization (to determine the essence of business processes reengineering of tourism activity subjects), grouping (to identify and generalize the factors that influence business processes reengineering), analysis and synthesis (to determine the features of business processes reengineering in tourism business), system approach (to substant the elements and means of digital communications development of tourism activity subjects). The visibility of the presented results is ensured by the data graphical presentation, the methods of logical generalization and systematic approach were used to form the conclusions. Findings. Reengineering has become a high-quality tool for finding and implementing ways to improve the efficiency of the enterprises and organizations functioning, as it involves the identification of problem areas and the justification of prospective solutions with the highest level of detail. The application of marketing aspects and the development of internet communications system can be particularly promising vector for the business processes reengineering of tourist enterprises. It is important during reengineering, enterprises should make changes not only in problem areas, but also in other areas (marketing, information, etc.), because reengineering covers all spheres of the organization's activity. Nowadays traditional marketing tools are being replaced by digital that use the capabilities of Internet technologies. In recent decades, information technologies have been actively integrated into all spheres of enterprise activity, marketing was no exception. Business processes reengineering should be supported by marketing, information and strategic measures that will enhance the effect of its implementation. Practical implications. The practical significance of the obtained research results lies in the business processes digitalization of tourist enterprises, which will contribute to the growth of their economic and managerial efficiency. Originality/value. The scientific novelty of the research results lies in the study of factors that affect the result of business process reengineering and added to them two new factors (marketing and informational). An analysis of the social media usage by Ukrainian tourism enterprises in their activities was also carried out. Potential mechanisms for using price policy as a lever for targeted demand management in the Internet environment were proposed.