Digital Communication Research Articles

The current trends in the development of methods and regulatory framework for indexing library information resources

The author examines the development of the basic concepts of indexing information resources using classifications and dictionaries of information retrieval languages. The impact of digital communications and the Internet on the indexing methods in the information environment, including the libraries, is emphasized. The modern library collections comprise various types of resources, both traditional paper publications and digital resources of various types, widely available on the Internet. In these conditions, harmonization of indexing methods with the principles of Internet information retrieval grows in importance. The author discusses the regulatory framework for indexing in the library sector and its relationship with Internet standards within the concept of Semantic Web. The author reviews the main stages of the development of the regulatory framework both on the international level and in this country. The author emphasizes the need to study the experience of other organizations in the field of standardization for further development of indexing technology.

EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection

Spam messages have emerged as a significant issue in digital communication, adversely affecting users’ mental health, personal safety, and network resources. Traditional spam detection methods often suffer from low detection rates and high false positives, underscoring the need for more effective solutions. This paper proposes the EGMA model, an ensemble learning-based hybrid approach for spam detection in SMS messages, which integrates gated recurrent unit (GRU), multilayer perceptron (MLP), and hybrid autoencoder models utilizing a majority voting algorithm. The EGMA model enhances performance by incorporating additional statistical features extracted from message content and employing text vectorization techniques, such as Term Frequency–Inverse Document Frequency (TF-IDF) and CountVectorizer. The proposed model achieved impressive classification accuracies of 99.28% on the SMS Spam Collection dataset, 99.24% on the Email Spam dataset, 99.00% on the Enron-Spam dataset, 98.71% on the Super SMS dataset, and 95.09% on UtkMl’s Twitter Spam dataset. These results demonstrate that the EGMA model outperforms individual models and existing methods in the literature, providing a robust solution for enhancing spam detection performance and effectively mitigating the threats that spam messages pose in digital communication.

AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons

The National Cancer Institute (NCI) Image Data Commons (IDC) offers publicly available cancer radiology collections for cloud computing, crucial for developing advanced imaging tools and algorithms. Despite their potential, these collections are minimally annotated; only 4% of DICOM studies in collections considered in the project had existing segmentation annotations. This project increases the quantity of segmentations in various IDC collections. We produced high-quality, AI-generated imaging annotations dataset of tissues, organs, and/or cancers for 11 distinct IDC image collections. These collections contain images from a variety of modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). The collections cover various body parts, such as the chest, breast, kidneys, prostate, and liver. A portion of the AI annotations were reviewed and corrected by a radiologist to assess the performance of the AI models. Both the AI’s and the radiologist’s annotations were encoded in conformance to the Digital Imaging and Communications in Medicine (DICOM) standard, allowing for seamless integration into the IDC collections as third-party analysis collections. All the models, images and annotations are publicly accessible.

The Future of Digital Communication: The Metaverse edited by Raquel V. Benítez Rojas

The Future of Digital Communication: The Metaverse edited by Raquel V. Benítez Rojas

Digital Communication Technology is not the Only Cause of Rapid Spread of Misinformation in Society

While achieving technological development in media communication, it is important to recognize the dual nature of technological advancement. This rapid development has led to a great threat of spreading misinformation, where ideas are no longer geographically restricted and spread globally at an unprecedented rate (Wang et al., 2019). Statistics from the Central Statistical Office (CSO) 2021 show that 62% of Internet users have seen untrue or suspicious content online Georgiev (2024). Many people believe that digital communication technologies are the only reason for the accelerated spread of misinformation. On the contrary, I believe that this view ignores the more complex political motivations, social, cultural, and psychological underpinnings. While technology itself is an important agent in the process of spreading misinformation, other factors are also integral. Therefore, I do not agree that the cause lies solely in digital communication technology, and this paper will illustrate how technological and social factors interact with each other through examples.

Effect of Visual Images on Digital Communication: Empirical Research Review

As mobile messengers gain popularity, visual images affect digital communication, leading to new interaction patterns. This review sums up scientific experience in describing digital communication facilitated by emoji and memes. The review covered scientific articles that reported empirical research on visual communication in digital environment in such open research databases as CyberLeninka, PubMed, Google Scholar, eLibrary, and ResearchGate in 2019–2024. The current rise in visual communication tools seems to reflect the general visual shift in modern culture, associated with the changes in human psychology brought about by total digitalization. Visual communication tools have a high information capacity, which hinders their interpretation, thus modifying the complex of individual and socio-psychological characteristics of interlocutors in an attempt to ensure mutual understanding. The review can be used to improve digital communication that employs alternative communication tools.

Canadian perspectives on loneliness; digital communication as meaningful connection.

This perspective piece considers loneliness and its relationship to communication, connection, and technology by reviewing the origins and lessons from the field. It begins with a search for an operational definition, then examines the differences between experiential (situational/isolation-based) and existential (continuous, non-situational) loneliness. Technology is addressed as both a hindrance and a tool for alleviating loneliness with the example of companion robots as an emerging technology for loneliness mitigation. Cultural differences in experiences of loneliness, specifically as a public health issue, are in the context of the COVID-19 pandemic in Canada. Concepts of social and emotional loneliness, individualism and collectivism, socioeconomic status, vulnerability, and lived experience are explored and provide an emphasis on 'meaningful connection' in the study of loneliness.

Integrating 3D technology with the Sampaio classification for enhanced percutaneous nephrolithotomy in complex renal calculi treatment.

To investigate the safety and efficacy of percutaneous nephrolithotomy (PCNL) in the treatment of complicated renal calculi by integrating three-dimensional (3D) computed tomography (CT) reconstruction with the Sampaio classification of the renal collecting system. Sixty-four consecutive patients with complex kidney calculi who underwent PCNL between January 2019 and October 2023 were retrospectively analyzed and divided into experimental group (3D printing) and control group (CT imaging) according to their willingness to pay for 3D imaging. Both groups underwent preoperative CT urography. The Digital Imaging and Communications (DICOM) in Medicine data of the experimental group from CT imaging were used for 3D reconstruction and model printing. Then, the Sampaio classification system was used to design the puncture channel and develop a surgical strategy. The 3D-printed models of the experimental group successfully displayed the Sampaio classification system. There was no significant difference in the baseline parameters between the groups. Compared with the control group, the experimental group exhibited significant improvements in the puncture time, number of puncture needles, number of puncture channels, target calyx consistency, number of first puncture channels, and stone clearance. There were no significant differences in the total operative time, decrease in the hemoglobin level, length of hospital stay, and postoperative complications between the groups. Integration of 3D technology with the Sampaio classification of the renal collecting system can enhance the preoperative evaluation and planning of percutaneous renal access. This approach allows a more precise method of PCNL for treating complex renal calculi.

Recommendation for Clinical T Staging in Patients with Non-Small Cell Lung Cancer: Volumetric Measurement: A Retrospective Study from Turkey.

Currently, clinical T staging in non-small cell lung cancer (NSCLC) is based on the largest radiological diameter observed on computed tomography (CT). Under this system, tumors with varying shapes-such as spherical, amorphous, or spiculated tumors- can be assigned the same T stage even with different volumes. We aimed to propose a 3-dimensional (3D) volumetric staging system for NSCLC as an alternative to diameter-based T staging and to conduct comparative survival analyses between these methods. We retrospectively analyzed data from patients who underwent surgery for pT1-4N0M0 primary NSCLC between January 2018 and May 2022. Digital Imaging and Communications in Medicine data from patient CT scans were uploaded to 3D Slicer software for volumetric tumor measurement. Using the paired samples t-test or the Wilcoxon test, we compared the expected tumor volumes, calculated by tumor diameter, with the actual volumes measured by 3D Slicer. Receiver operating characteristic analysis was employed to determine the cut-off value for tumor volume. Kaplan-Meier analysis was utilized to assess overall survival, while the log-rank method was applied to compare survival differences between groups. The significance of changes in T stage was evaluated using the marginal homogeneity test. The study included 136 patients. Significant differences were observed between expected and actual tumor volumes (p=0.01), and associated changes in T stage were also significant (p=0.04). The survival analysis performed using tumor volume (p=0.009) yielded superior results compared to that based on diameter (p=0.04) in paients with early tumor stage. T-factor staging based on tumor volume could represent an alternative staging method for NSCLC.

Embracing the Digital Network: How Net-Entrepreneurs Acquire Online Social Capital?—A Mixed Empirical Study Based on SEM-PLS and fsQCA

Online social capital is a determinant of success for net-entrepreneurs. However, there has been limited research on how net-entrepreneurs acquire online social capital through social media. Therefore, this study aims to explore whether different digital behaviors of net-entrepreneurs lead to differences in acquiring online social capital. We conducted empirical tests using partial least square structural equation method and fuzzy-set qualitative comparative analysis (fsQCA) based on survey data from 306 Chinese agricultural net-entrepreneurs. The results revealed that digital business card (profile and state self-disclosure) significantly influences bridging online social capital (BRSC) and bonding online social capital (BOSC). Certain subcomponents of digital information and digital communication serve as significant predictors of online social capital. Furthermore, the acquisition of BRSC has three distinct configurational conditions, while BOSC has four. This study provides valuable insights for net-entrepreneurs on utilizing different digital behaviors to acquire online social capital effectively.

DESAFIOS E OPORTUNIDADES DA COMUNICAÇÃO NA SOCIEDADE DIGITAL

Communication in a digital society presents challenges and opportunities that transform the way we connect and share information. With the advancement of information technologies, communication becomes more agile, accessible and democratic. However, this transformation also brings challenges such as the spread of fake news, user privacy and excessive dependence on social networks. New digital platforms offer unique opportunities for business, education and social relationships, enabling global reach. However, the speed of information often compromises the depth of dialogues and the discernment between what is true or manipulation. The exponential growth of online content requires reflection on how to use digital tools ethically and effectively. Furthermore, digital communication creates new forms of interaction, which challenge traditional models and require new communication skills. Digital education and media literacy emerge as solutions to prepare individuals to deal critically with this new environment. Therefore, the balance between the opportunities for innovation and the challenges of maintaining authentic and secure communication is essential for the future of communication in the digital society.

Integration of Digital Repositories and Spatial Design within the Metaverse: the Evaluation of Features and Narratives to set Learning Environments on Cultural Heritage

Abstract. The Metaverse is rapidly advancing across cultural, professional, and service sectors, enhancing data compatibility and interaction. Its architectural design supports both visual interaction and information layers, characterising an ideal platform for the promotion of Digital Heritage. The digitisation of Cultural Heritage and the creation of Digital Repositories find complementarity in the Metaverse, which enables social interactions between Digital Heritage contents and virtual communities. This integration is pivotal for developing Learning Environments, where accessible virtual products can be combined with original digital storytelling and narratives.The paper presents methods and results from an Erasmus+ international school, which focused on using digital communication and 3D modelling tools to create immersive narratives on Mediterranean architectural modernity. Students from various Cultural Heritage disciplines designed virtual exhibitions within the Metaverse platform Spatial and open repository materials. The research concentrated on the application of Metaverse platforms for their spatial design and educational utility within the Heritage sector. The activities included developing digital narratives and interactive exhibitions enriched with multimedia data from digital repositories. The study discusses the limitations of customising visual materials, the importance of repository connections, user experience design, and the potential for future developments in Metaverse applications for Cultural Heritage learning environments and storytelling.

Mellowing down the rigour of the concept of ‘trans‐border reputation’ to accommodate bona fide domestic use: The Indian and Sri Lankan perspectives

AbstractIn this era of global trade and digital communication, where geographical borders between states have become virtually redundant, the ‘aura’ of well‐known trademarks easily transgresses national borders. As an upshot of this, the reputation and goodwill attached to well‐known trademarks have become less and less commensurate with the territorial boundaries of individual states. This raises the question of whether strict adherence to the bedrock principle of ‘territoriality’ is both apt and justifiable in the backdrop of modern commerce—not only from a trademark holder's perspective but also from a consumer‐centric viewpoint. Although the judicially crafted concept of ‘trans‐border reputation’ is often hailed as a promising solution to this problem; sometimes it postulates a too‐liberal approach to protecting the interests of the foreign trademark owners. Most significantly, the concern has been raised that the application of an unbridled doctrine of ‘trans‐border reputation’ may unduly thwart the interests of local entrepreneurs. Thus, the argument that the ‘priority of innocent use’ by a local trader should not be superseded by the trans‐border reputation of a foreign well‐known trademark cannot be easily ignored. This paper aims to critically evaluate the application of the trans‐border reputation concept within the Indian and Sri Lankan legal landscapes, discussing in detail the implications of the landmark cases determined by the Indian and Sri Lankan judiciaries. Most importantly, it seeks to introduce a mechanism for minimizing prejudice to the bona fide domestic users of marks, by employing ‘bad faith’ as a balancing tool.

Drawn Together While Social Distancing: A Case Study of Digital Graphic Novel Use in Citizenship Pedagogy During the COVID-19 Pandemic

The COVID-19 pandemic created special challenges for faculty members whose classes were ones relying heavily on in-person interaction, including those whose courses involve active citizenship and community engagement. Here, I present my use of digital graphic novels in online pedagogy as a way I managed to accomplish this in a digital, socially distanced environment. The digital graphic novels provided a way for students to engage in digital citizenship and a hands-on activity in which they learned and created visual digital communication—one of the most dominant forms of modern-day civic communication. It also pulled in a wildly popular format with “Generation Z” students. Faculty members, though, should make sure that what they do is rooted in course outcomes and emphasize that though this activity may be fun, graphic novels are tools and not the subject matter itself.

The Impact of Marketing Mix and Digital Integrated Marketing Communication on Improving Private Vocational Colleges Image in Chonburi Province

This research aims to explore the role of digital marketing communication and the marketing mix in creating and enhancing the image of private vocational colleges in Chonburi Province. The study focuses on four main objectives: (1) analyzing the demographics of students at these institutions, (2) examining the digital marketing strategies employed by the colleges, (3) investigating the application of the marketing mix, and (4) assessing the relationship between digital marketing communication and the marketing mix in enhancing the colleges' image. Using a mixed-methods approach, the research collected quantitative data from 388 students and qualitative insights from interviews with five college administrators. The findings reveal that the majority of students are male, enrolled in industrial programs, and generally have positive opinions about the digital marketing efforts and marketing mix employed by their institutions. College administrators recognize the significant impact of these strategies, particularly in areas such as curriculum development, service delivery, and public relations, which play a crucial role in strengthening the institution's image. This research highlights the importance of integrating digital marketing communication and the marketing mix to create a strong and memorable image for vocational colleges. By effectively meeting the needs and expectations of students, parents, and other stakeholders, these institutions can enhance their reputation and appeal.

Three-dimensional finite element analysis of stress distribution on different complex macro designs in commercially available implants: An in-vitro study

ObjectiveThis study aimed to investigate the effects of different commercially available complex implant macro designs on stress distributions using Finite element analysis. The experiment is done under varying simulated bone conditions to provide reference for clinical application. Materials and methodsThe study employed the Finite Element Analysis (FEA) method to compare four commercially available complex implant macro designs on a Computer-Aided Design (CAD) model of a maxillary bone segment. The three-dimensional geometrical model of the implants was reconstructed from computed tomography (CT)-slices in Digital Imaging and Communications in Medicine (DICOM) format and contact condition between the implant and the bone was considered as ‘Bonded’, implying perfect osseointegration. All materials used in the models were assumed to be isotropic, homogeneous, and linearly elastic. The Finite element simulations employed load of 400 N under both axial and non-axial conditions Stresses were analysed under different bone conditions. ResultsAverage values of von Mises stresses were used for comparing stress levels between implant designs. There was a definite increase in the equivalent stress values from higher density(D1)to lower density (D4) bone conditions for all implants. The percentage of increase ranged from 23.63 to 49.39 on axial loading and 20.39 to 57.19 when subjected to non-axial loading. The equivalent stress values resulted from non-axial loading were 1.78–2.94 times higher than that of axial loading for all implants under all bone densities. Among the complex designs Equinox Myriad Plus implant exhibited the least stress under axial loading (12.749–19.046 MPa) and (37.462–49.217 MPa) for non-axial loading. The stress on the crestal module was higher (1.49–2.99 times) than the overall stress on the implant regardless of the loading direction or bone conditions. ConclusionsData from the present study shows Equinox Myriad Plus implant generating the least equivalent stress and this can be taken as indicator in the biomechanical performance of the design.

Exploring AES Encryption Implementation Through Quantum Computing Techniques

A coming great revolution in technology is quantum computing, which opens new attacks on most of the developed cryptographic algorithms, including AES. These emerging quantum capabilities risk weakening cryptographic techniques, which safeguard a vast amount of data across the globe. This research uses Grover's algorithm to explore the vulnerabilities of the Advanced Encryption Standard to quantum attacks. By implementing quantum cryptographic algorithms and Quantum Error Correction on simulators and quantum hardware, the study evaluates the effectiveness of these techniques in mitigating noise and improving the reliability of quantum computations. The study shows that while AES is theoretically at risk due to Grover’s algorithm, which demonstrates a theoretical reduction in AES key search complexity, current hardware limitations and noise levels encountered in today’s quantum computers reduce the immediate threat and limit practical exploitation. The research also examines NTRU encryption, a quantum-resistant alternative, highlighting its robustness in quantum environments. The findings emphasize the need for further development in QEC and quantum-resistant cryptography to secure digital communications against future quantum threats. Future work will focus on advancing QEC techniques and refining quantum algorithms, addressing both hardware and theoretical advancements, including the potential use of high-capacity processors like Jiuzhang 3.0. These improvements will ensure the scalability of quantum-resistant systems to practical key sizes and usage scenarios.

Assessment of communication skills in health professions education; Ottawa 2024 consensus statement

Despite the increasing inclusion of communication skills in accreditation standards and an increase in time dedicated to teaching these skills, communication is often regarded as a separate skill and is therefore, not consistently represented in overall systems of assessment in Health Professions Education (HPE). The ascendence of competency-based medical education, programmatic assessment, artificial intelligence, and widespread use of telehealth, alongside changing patient expectations warrant an update in thinking about the assessment of communication skills in health professions education. This consensus statement draws on existing literature, expert pinion, and emerging challenges to situate the assessment of communication skills in the contemporary health professions education context. The statement builds on previous work to offer an update on the topic and include new developments related to assessment, particularly: the challenges and opportunities associated with systems of assessment; patient and peer perspectives in assessment; assessment of interprofessional communication, cross-cultural communication, digital communication; and assessment using digital technologies. Consensus was reached through extensive discussion among the authors and other experts in HPE, exploration of the literature, and discussion during an Ottawa 2024 conference workshop. The statement puts forward a summary of available evidence with suggestions for what educators and curriculum developers should consider in their planning and design of the assessment of communication.

Catalysts of connection. The role of digital information and communication technology in fostering neighbourhood social cohesion: A systematic review of empirical findings

Catalysts of connection. The role of digital information and communication technology in fostering neighbourhood social cohesion: A systematic review of empirical findings

Research on Key Technologies of Spatial Domain Image Steganography and Analysis of Typical Applications

In the digital age, secure storage and communication of information are crucial aspects of everyday life, drawing significant global interest. Steganography serves as a pivotal method for concealing private information within various media forms—such as images, videos, and text—enabling secure information transmission. This paper delineates the distinctions between information hiding and encryption and delves into image steganography. The focus here is on spatial-based image steganography techniques, which are broadly categorized into traditional and deep learning-based methods. Traditional methods rely on modifications to the pixel values of the host image, often resulting in minor but detectable changes if not carefully managed. On the other hand, deep learning-based methods leverage neural networks to learn how to encode data in an image in a way that is much harder to detect. A comprehensive performance analysis of these techniques is provided, complete with comparative tables to aid in clarity and reference. Additionally, this paper aims to guide researchers by charting current trends in the field and suggesting future research directions. By exploring these advanced techniques, the paper contributes to the broader discourse on enhancing the security and efficacy of steganographic practices.