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Copyright of Revista Gestão & Tecnologia is the property of Revista Gestao & Tecnologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The COVID-19 pandemic has posed challenges to education systems around the world, resulting in a 'new normal' for school music education in which teaching and learning can no longer rely only on conventional classroom practices. Concerns have also been raised over music teachers' digital competencies, given the perceived importance of the use of technology within the new educational landscape. This article presents the results of a study that examined the challenges and experiences associated with the digital competencies of music teachers during the pandemic period. Semi-structured interviews were conducted with full-time music teachers (N = 18), all of whom taught music as a subject at mainstream primary or secondary schools in Hong Kong. The findings revealed challenges and upskilling of music teachers during the lockdown period, including the technological constraints imposed by the school and the online environment, how they made use of technology to teach music online, and the different ways they developed their digital competencies. Alongside with the catalyst effect of the pandemic that stimulated their upskilling, curriculum changes in teacher training programmes are necessary to better prepare music teachers for the digital transformation of music education and future challenges under the post-pandemic 'new normal' situation. 新型冠状病毒肺炎(COVID-19)對全球教育系統造成衝擊，導致學校的音樂教育進入了一種「新常態」，令教學不能只依賴傳統的面授課堂。鑒於「新常態」下的教學非常倚重科技的運用，音樂教師的數碼技能尤為重要。本研究旨在考察音樂教師在疫情期間運用數碼技能的經驗及其所面臨的挑戰，對18名在香港主流小學或中學教授音樂課程的全職教師進行了半結構化訪談，調查結果顯示在實施新冠肺炎封鎖措施期間音樂教師所面臨的挑戰和技能提升，包括線上教學環境及學校面授課堂的限制，科技的運用，以及他們學習數碼技能的方法。除了疫情的推動之外，課程改革及教師培訓也是必要的，以便音樂教師在數位化音樂教育和後疫情「新常態」下的未來挑戰做準備。 [ABSTRACT FROM AUTHOR]

Sentiment analysis is a crucial tool for measuring public opinion and understanding human communication across digital social media platforms. However, due to linguistic complexities and limited data or computational resources, it is under-represented in many African languages. While state-of-the-art Afrocentric pre-trained language models (PLMs) have been developed for various natural language processing (NLP) tasks, their applications in eXplainable Artificial Intelligence (XAI) remain largely unexplored. In this study, we propose a novel approach that combines Afrocentric PLMs with XAI techniques for sentiment analysis. We demonstrate the effectiveness of incorporating attention mechanisms and visualization techniques in improving the transparency, trustworthiness, and decision-making capabilities of transformer-based models when making sentiment predictions. To validate our approach, we employ the SAfriSenti corpus, a multilingual sentiment dataset for South African under-resourced languages, and perform a series of sentiment analysis experiments. These experiments enable comprehensive evaluations, comparing the performance of Afrocentric models against mainstream PLMs. Our results show that the Afro-XLMR model outperforms all other models, achieving an average F1-score of 71.04% across five tested languages, and the lowest error rate among the evaluated models. Additionally, we enhance the interpretability and explainability of the Afro-XLMR model using Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP). These XAI techniques ensure that sentiment predictions are not only accurate and interpretable but also understandable, fostering trust and reliability in AI-driven NLP technologies, particularly in the context of African languages. [ABSTRACT FROM AUTHOR]

Through cyberpragmatics outlook, this study explores the persuasive speech act techniques utilized by online fashion vendors during live e-commerce sessions. The study investigates how sellers utilize persuasive strategies in digital communication to influence consumer behavior and increase revenue. A mixedmethods approach is employed so that the research combines qualitative content analysis of live selling sessions with quantitative measures of engagement and conversion rates. Important discoveries show that sellers frequently use a combination of assertive, expressive, directive, commissive, and phatic speech acts, which are adapted to the dynamic and interactive nature of real-time e-commerce platforms. The implications for both sellers and digital marketing strategists underscore the importance of adaptive communication techniques in enhancing consumer engagement and optimizing sales outcomes. Furthermore, the persuasive strategies emphasize the importance of using visual aids, real-time client engagement, and personalized marketing tactics. This research contributes to the understanding of digital persuasion in e-commerce and offers insights into the evolving landscape of online retail communication. [ABSTRACT FROM AUTHOR]

This study aims to analyze the effectiveness of digital marketing strategies in enhancing the public perception of Indonesia's Directorate General of Customs and Excise (DJBC). As a pivotal institution in national economic stability, DJBC plays multiple roles, including revenue collection, trade facilitation, and industrial assistance. However, public trust has been negatively impacted by various factors. To improve its brand image, DJBC launched the "Makin Baik" campaign, which utilizes digital marketing techniques. This research investigates the impact of three key components: brand campaign effectiveness, digital content quality, and consistency in posting frequency on public perception. A mixed-method approach was adopted, combining qualitative case studies and quantitative surveys. The results indicate a significant increase in public trust from 45% in 2022 to 60% in 2023, attributed to improvements in DJBC's digital engagement and content strategy. Additionally, social media analytics reveal an increase in interactions and followers, demonstrating the campaign's success in engaging the public. Nevertheless, challenges remain in addressing negative stigmas and ensuring long-term digital communication strategies. This research contributes to the understanding of optimizing brand engagement for government institutions through digital marketing. [ABSTRACT FROM AUTHOR]

The security of digital communication and information systems is mostly dependent on block ciphers. ARX-based ciphers are widely used due to their simplicity and efficiency. This paper provides an exhaustive cryptanalysis of a subset of ARX-based block ciphers, with particular emphasis on SIMON, SPECK, and IDEA. These ciphers need to be exposed for their weaknesses in algebraic attack resistance and cryptographic properties such as key sensitivity. In addition, we assess the resource utilization and speed of these ciphers, both of which are critical for practical implementation. SMT (Satisfiability Modulo Theories) framework is utilized to tackle constraint fulfillment problems based on first-order logic. The following cryptographic steps use SMT solvers: differential cryptanalysis, collision attack, pre-image attack, modular root-finding, and cryptographic primitive verification. We show that SMT solvers can solve block cipher cryptanalysis constraints. In a cryptanalytic attack, we convert block cipher boolean equations to Z3py. The proposed cryptanalysis method evaluates ARX cipher performance. This method recovers the partial secret key using plaintext and ciphertext pairs, partial key bits, and a predetermined number of rounds. To determine whether SIMON, SPECK, or IDEA are appropriate for distinct security requirements, we conducted a comparative analysis of the results and presented them in tabulated form. This research builds a better understanding of ARX-based block ciphers and allows us to develop more robust and efficient cryptographic algorithms to protect sensitive data in modern communication systems. [ABSTRACT FROM AUTHOR]

This study investigates the influence of Corporate Social Responsibility (CSR) communication strategies via social media on corporate e-reputation in Nigeria. In an era where online platforms shape brand perception and consumer behavior, CSR communications have emerged as a vital tool for companies to engage with stakeholders, enhance transparency, and foster trust. The research employs an abductive methodology and systematic literature review (SLR), exploring CSR awareness, consumer responses, and behavioral shifts driven by CSR initiatives communicated on social media. Using online polls and Q&A sessions for data collection, the study analyzes the effectiveness of CSR strategies and their impact on consumer trust, loyalty, and purchasing decisions. Findings reveal that CSR communication through social media significantly enhances e-reputation, positively influencing brand loyalty and consumer perception. The study underscores the importance of transparent and engaging CSR communication in building a strong online reputation, and highlights how visual content, storytelling, and real-time updates can amplify CSR efforts. This research contributes to the understanding of the role of digital communication in shaping corporate e-reputation in Nigeria. [ABSTRACT FROM AUTHOR]

Background: Inpatient rehabilitation therapies can be applied for in Germany by patients of working age to support their return to work. However, there are some problems that impede an easy and uncomplicated application process. An interdisciplinary case management approach for rehabilitation care planning was developed to facilitate the access to rehabilitation. Case conferences (CCs) were held with relevant stakeholders and took place on a digital communication platform. We conducted a qualitative process evaluation to understand the implementation of the intervention and to identify contextual factors as well as mechanisms for a successful implementation in the context of primary care. Methods: The process evaluation included interviews with primary care physicians (PCPs), patients and stakeholders involved in the intervention process. Reflexive thematic analysis was used to analyse the data. Emerging themes were structured according to the Donabedian framework of structure, process and outcomes. Results: A total of 18 interviews were conducted. Important results included the desire for more patient involvement and case management. Patients especially valued the opportunity to receive support from a social worker. Limitations of the platform related to usability and limited opportunities for stakeholder communication. Despite training for PCPs, several problems arose regarding the clarity of the intervention process. Patients were satisfied with their application process and the treatments offered, while PCPs reported an increase in workload. Conclusions: A digitalisation of the application procedure for rehabilitation and further treatment options is acceptable to patients and personal support of a social worker is particularly valued. However, patients should be included in the CC in terms of a shared decision-making process. The digital platform requires sufficient training and adjustments have to be made to enhance usability and to improve the efficiency of the process for PCPs. Overall, the exchange between the various stakeholders in the CC is considered particularly useful in more complex cases. Trial registration: DRKS German Clinical Trials Register, DRKS0 00242 07. Registered on 22 March 2021. [ABSTRACT FROM AUTHOR]

The proliferation of digital communication has profoundly transformed the landscape of persuasive discourse. Online platforms have amplified the reach and impact of persuasive techniques. However, they have also enabled the rapid spread of manipulative content, targeted propaganda, and divisive rhetoric. Consequently, a wide range of computational approaches has emerged to address the multifaceted nature of digital persuasion, to detect and mitigate its harmful practices. In light of this, the paper surveys computational methods for detecting persuasive means in digital communication, focusing on how they integrate humanistic knowledge to operationalize this construct. Additionally, special emphasis is placed onmodels' explainability, a pivotal aspect considering these models are used by institutions to influence societal interactions. For the analysis, two primary perspectives in persuasion are defined: linguistic and argumentative. The linguistic approach analyzes specific textual features, allowing for highly accountable algorithms based on explicit rules. The argumentative approach focuses on broader persuasive mechanisms, offering greater scalability but often resulting in less explainable models due to their complexity. This tension between model sophistication and explainability presents a key challenge in developing effective and transparent persuasion detection systems. The results highlight the spectrum of methodologies for studying persuasion, ranging from analyzing stylistic elements to detecting explicitly propagandist messages. Our findings highlight two key challenges in using these algorithms to tackle societal issues of persuasion misuse: the opacity of deep learning models and the absence of a theoretically grounded distinction between vicious and virtuous persuasion. To address these challenges, we propose integrating social sciences and humanities theories to enhance the effectiveness and ethical robustness of persuasion detection systems. This interdisciplinary approach enables a more nuanced characterization of text, facilitating the differentiation between vicious and virtuous persuasion through analysis of rhetorical, argumentative, and emotional aspects. We emphasize the potential of hybrid approaches that combine rule-based methods with deep learning techniques, as these offer a promising avenue for implementing this interdisciplinary framework. The paper concludes by outlining future challenges, including the importance of multimodal and multilingual analysis, ethical considerations in handling user-generated data and the growing challenge of distinguishing between human and AI-generated persuasive content. [ABSTRACT FROM AUTHOR]

Self‐presentation in Congress is more nationalized, with digital constituencies on platforms such as Twitter offering new reputation‐building opportunities. Digital constituencies transform traditional expectations of constituent communication, challenging Richard Fenno's theory that representatives adopt an “expansionist” style with constituents during early, vulnerable phases of their tenure. In a digital era that encourages a more national approach, we question how Fenno's distinction between expansionist and protectionist phases of connecting with constituents applies to reputation‐building with digital constituencies. While electorally vulnerable senators still seek to expand their presentation among geographic constituents, digital platforms, such as Twitter, incentivize them to protect their reputation among a digital constituency. We analyzed senators' Twitter communications from 2013 to 2023. We find the electoral vulnerabilities of Fenno's expansionist local model are associated with a protectionist model of engagement with digital constituencies on Twitter. Our study sheds light on the significance of online reputation management and its implications for representing a media‐influenced, modern Congress. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

AbstractOnline 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. [ABSTRACT FROM AUTHOR]

This study analyzes and proposes the concept of "spontaneous audiovisual autoethnography" on TikTok, revealing a diversity of cultural narratives. Autoethnographers like @jairdesdeelcampo0 and @indigenac4mp0 defy conventions, authentically connecting with a global audience. The research is based on content analysis, web observation, and film analysis theory. It highlights the communicative evolution from simple selfnarratives to complex and aesthetic representations. The study theoretically defines spontaneous autoethnography on TikTok. This typology transcends borders, projecting rural, ethnic, and peasant life. The present study contributes to understanding new forms of sociocultural expression on digital platforms, emphasizing TikTok's significant impact on preserving audiovisual memory and disseminating diverse voices globally. The research underscores the relevance of the phenomenon in contemporary cultural dynamics and how it amplifies diverse voices globally. [ABSTRACT FROM AUTHOR]

This study investigates the integration of dimmable constant weight polar‐coded non‐orthogonal multiple access (NOMA) with orthogonal space‐time block coding (OSTBC) in visible light communication (VLC) systems over Nakagami‐m$m$ fading environments. The proposed scheme aims to enhance the reliability of VLC systems by reducing the outage probability while accommodating dimming requirements. By allowing multiple users to utilize the same time‐frequency resources and adjust power levels based on individual channel conditions, the system optimizes resource utilization. Additionally, the OSTBC method provides effective communication among multiple users by leveraging transmit diversity to improve system performance. The efficacy of the proposed approach is demonstrated through analytical analysis and Monte Carlo simulations, showcasing superior outage probability performance compared to conventional Alamouti‐STBC schemes. [ABSTRACT FROM AUTHOR]

Scientists are under increasing pressure to enhance public awareness of the societal implications of their research. This involves recontextualizing highly specialized knowledge into forms accessible to diverse audiences, varying in levels of expertise. While much research has focused on the reformulation of ideas for popularizing purposes, less emphasis has been placed on the pragmatic strategies involved in adapting expert knowledge for varied audiences in digital contexts. A pragmatic approach that leverages both verbal communication and digital tools could provide insights into these dissemination strategies. This study examines how digital research digests, which are concise versions of research articles, make scientific research accessible to non-experts. The study identifies two key sets of strategies: expert-oriented, which emphasize authority and credibility, and audience-oriented, which simplify complex ideas and relate them to everyday life. These strategies blend to form a unique narrative voice that balances authority with accessibility. The paper argues that effective digital dissemination should integrate both linguistic and pragmatic methods to successfully communicate complex information across different digital practices. • Pragmatic strategies help bridge knowledge asymmetries in digital scientific communication. • Expert-oriented strategies highlight credibility and research significance. • Audience-oriented strategies ensure comprehension and engagement. • Interaction of pragmatic strategies with metadiscourse enhances science communication. [ABSTRACT FROM AUTHOR]

Nowadays, mobile–mobile interaction is becoming a fundamental methodology for human–human networking services since mobile devices are the most common interfacing equipment for recent smart services such as food delivery, e-commerce, ride-hailing, etc. Unlike legacy ways of human interaction, on-site and in-person mutual recognition between a service provider and a client in mobile–mobile interaction is not trivial. This is because of not only the avoidance of face-to-face communication due to safety and health concerns but also the difficulty of matching up the online user using mobiles with the real person in the physical world. So, a novel mutual recognition scheme for mobile–mobile interaction is highly necessary. This paper comes up with a novel cyber-physical secure communication scheme relying on the digital twin paradigm. The proposed scheme designs the digital twin networking architecture on which real-world users form digital twins as their own online abstraction, and the digital twins authenticate each other for a smart service interaction. Thus, inter-twin communication (ITC) could support secure mutual recognition in mobile–mobile interaction. Such cyber-physical authentication (CPA) with the ITC is built on the dynamic BLE beaconing scheme with accurate proximity detection and dynamic identifier (ID) allocation. To achieve high accuracy in proximity detection, the proposed scheme is conducted using a wide variety of data pre-processing algorithms, machine learning technologies, and ensemble techniques. A location-dependent ID exploited in the CPA is dynamically generated by the physical user for their own digital twin per each mobile service. [ABSTRACT FROM AUTHOR]

This article discusses a support vector regression-based interval power flow prediction method for distribution networks with distributed generators (DGs) integration. The method aims to address the challenges of uncertain power flow analysis in distribution networks, particularly as the size of the system increases. The proposed method utilizes intervals to describe system uncertainty and employs support vector regression for model training. Simulation results demonstrate that the method exhibits high prediction accuracy, adaptability, and computation efficiency, meeting the requirements for rapid and real-time power flow analysis in distribution networks with DGs integration. The text also discusses the construction of an Interval Power Flow (IPF) prediction model for distribution networks using Support Vector Regression (SVR). The model is a multi-output model that predicts the upper and lower bounds of power flow results, taking into account uncertainties in the distribution system. The model has been shown to have high prediction accuracy and computational efficiency in studies conducted on IEEE 33bw and IEEE 69 cases. The text concludes by stating that the claims expressed in the article are solely those of the authors and do not necessarily represent the views of their affiliated organizations or the publisher. The article titled "Distributionally robust multistage dispatch with discrete recourse of energy storage systems" by Zheng et al. explores the concept of distributionally robust multistage dispatch with discrete recourse of energy storage systems. The authors propose a mathematical model that considers uncertainties in renewable energy generation and electricity demand, and aims to optimize the dispatch of energy storage systems. The study highlights the importance of incorporating uncertainty [Extracted from the article]

BackgroundMethodsResultsConclusionThere is a gap in the field of dance for dementia regarding how to engage in and improve equitable, moral, and rights-based ways of working with those with lived experience to co-design research priorities. We set out to create a collaborative research agenda for this field.A series of collaborative activities were conducted, including an in-person workshop (n = 59 people), online workshop (n = 23 people), digital communications, podcasts, and co-writing, including with people living with dementia (PLWD), health and social care professionals, artists, arts organisational representatives, and academic researchers.Three key themes were constructed: 1) Improving access to dance participation; 2) Prioritising co-produced approaches; and 3) Enabling innovation in measurement and methods.This is the first co-produced agenda for the field of dance for dementia. Underpinned by diverse perspectives and lived experience, it outlines themes and associated research questions that can be used in future research. [ABSTRACT FROM AUTHOR]

This study tries to ascertain the attitudes of tertiary learners’ internet meme consumption and its potential for pedagogical implications. Internet memes, as multifaceted cultural artefacts, have become pervasive in contemporary digital communication, influencing societal discourse and online interactions. Despite their prevalence, research on learners’ everyday experiences and attitudes towards memes in educational settings is a rarity. This research therefore aims to examine the affective and cognitive attitudes of undergraduate students towards internet meme culture. Utilising a cross-sectional survey design, data was collected from 119 second-year undergraduate students at St. Joseph's College (Autonomous), Tiruchirappalli, India. The questionnaire focused on measuring both affective and cognitive appeal towards meme consumption. The analysis revealed that memes as an educational tool have a positive impact on the affective and cognitive domains in a classroom setting. [ABSTRACT FROM AUTHOR]

With the increase in the number of communication networks and digital multimedia technologies, ensuring the confidentiality of information has become increasingly important. Digital watermarking and scrambling are two methods that can be used to provide security to digital data such as video and to limit the chances of piracy. By implementing these techniques, it becomes more difficult for unauthorized users to access or distribute the video content, thereby protecting the integrity of the video data. This paper presents a novel approach to video watermarking, where a watermark bit is inserted into the motion vectors obtained through motion estimation. This is done to ensure copyright protection for the video content. In the proposed architecture, the negative horizontal components of the motion vectors generated by the three step search (TSS) algorithm are used, followed by a perturbation of the motion vectors (MVs). The perturbation helps to increase the security of the watermark and prevent it from being easily detected or removed. The experimental results of the proposed architecture have shown that it uses few resources, thereby making it a practical and efficient solution for video watermarking. Overall, the proposed architecture provides a better quality watermarked image sequence, operating with low power consumption that does not exceed 1.39 W and a maximum frequency of approximately 75.7 MHz. [ABSTRACT FROM AUTHOR]

Emojis are frequently used in digital communication to supplement the lack of non-verbal cues, but their integration during reading has not been thoroughly examined. This study explores the interplay between language and emotion by testing the influence of emotional valence and face-status of emojis on visual word recognition. Two online experiments were conducted with 92 native English-speaking university students, examining priming effects between congruent (e.g. delicious) and incongruent (e.g. hate) prime-target pairs, varying the face-status of the emoji prime (face vs. non-face) and the valence (positive vs. negative) of the word target. Irrespective of valence, face emojis demonstrated a processing advantage over non-face emojis, implying automatic attention capture. Additionally, the results revealed an interaction between prime-target congruency and valence, with a facilitatory effect for positive, but not negative, items, suggesting a valence-specific mechanism of affective priming in the lexical decision task. The research suggests that the rapid integration of emoji content occurs during the early stages of visual word recognition, with heightened attentional sensitivity to both face-like and positive stimuli when reading digital communications. [ABSTRACT FROM AUTHOR]

Vincent Mosco, a renowned academic in the field of communication studies, passed away at the age of 75. Throughout his career, Mosco focused on the power dynamics within digital technologies and the global communication landscape. He authored numerous books and articles, exploring topics such as the commodification of audiences, capitalist structures, and the impact of emerging media technologies. Mosco's work also delved into the social and cultural implications of the internet, AI, and content-driven services. His scholarship extended beyond North America, with collaborations and research in China and Brazil. Mosco's contributions to the field of communication studies have left a lasting impact on scholars worldwide. [Extracted from the article]

The demand for network security is increasing exponentially as businesses strive to protect personal data from theft or loss. Data security is a paramount concern for both individuals and organizations engaged in various forms of communication, particularly in cyberspace due to the rise of digital computing and communication. With the rapid advancement in digital data exchange, securing information during transmission and storage has become increasingly critical. Given the extensive use of text in security agencies and industries, it is crucial to protect confidential text data from unauthorized access. This paper proposes the use of Bose Chaudhary Hochquenghem (BCH) codes over the Galois field in a modified advanced encryption standard (AES) algorithm to secure text data. Secret keys are generated using the generator polynomial of BCH codes over the Galois field, which is also applied to construct maximum distance separable (MDS) matrices. The proposed scheme enhances the mixed column operation and sub-key construction steps of the AES algorithm using BCH codes over the Galois field. The secret key, based on the designed distance of BCH codes, is difficult to predict using exhaustive key search methods. The avalanche effect test, involving single-bit changes in plaintext and secret keys, along with the popular national institute of standards and technology (NIST) test, confirms that the proposed scheme improves ciphertext encryption. Security analysis results demonstrate better encryption performance for text data. In the future, this approach could be adapted for encrypting images, audio, and video. [ABSTRACT FROM AUTHOR]

This paper examines the role of multimodality in English Language Teaching (ELT), emphasizing its capacity to enhance meaning-making and communication through diverse semiotic modes, including text, images, gestures, and digital tools. The review aims to explore how multimodal approaches can enrich English Language Learners' (ELLs) academic and social experiences. Using a systematic research synthesis methodology, the study analyzes 30 empirical studies in second language (L2) contexts, focusing on five key areas: (a) digital technologies, (b) EFL contexts, (c) adolescent ELLs, (d) in-and out-of-school settings, and (e) writing genres (narrative, expository, and argumentative). The paper concludes with pedagogical recommendations and future research directions to promote dynamic and inclusive ELT practices, while also addressing notable limitations. These findings provide valuable insights for ELT researchers and educators seeking to implement multimodal frameworks that support holistic and engaging language learning environments. [ABSTRACT FROM AUTHOR]

Comparative communication research needs to catch up to other disciplines. In this special issue and the associated International Communication Association preconference, we focus on comparative work related to digital political communication. This introduction argues that comparative digital political communication needs to consider comparisons across various dimensions, including countries, platforms, and time, whereas existing comparative communication research focuses on country or territorial comparison. We highlight the six submissions' approaches to comparative work. Each submission provides at least one of these three dimensions of contrast. We conclude with a discussion of enduring gaps in this field of research, such as the lack of studies using time as a dimension of comparison. Time is crucial for understanding ever-changing digital media platforms. We also conclude by discussing some ongoing challenges in political communication research. [ABSTRACT FROM AUTHOR]

To determine how universities worldwide use TikTok, 7,880 TikTok posts from 118 institutional university profiles were reviewed and categorized through a systematic review. The results show an initial effort by universities to search for institutional content, although from 2021 onwards an increase in playful content focused on the university community is reported, making evident the need to exploit the platform with the corresponding narrative style, aesthetics, and particular times, thus connecting more efficiently with its target audience and betting on consolidating this community both in the real and digital terrain. [ABSTRACT FROM AUTHOR]

The term "NEET" refers to individuals aged 15 to 34 years who are not involved in education, employment, or training programs. Recent studies have shown that NEET individuals are at a high risk of experiencing lower well-being and mental health issues. This study aimed to examine the relationship between intolerance of uncertainty (IU), meme use (MU), depression emoticon empathy (DEE), and career indecisiveness and anxiety (CIA) in NEETs who were locked down during the COVID-19 pandemic in China. We hypothesize positive interrelations among study variables. Then, mediation path models were carried out to study the relationship between IU and CIA through MU and DEE. We collected data through an online survey from NEETs (N = 1,404) in China, using questionnaires assessing IU, MU, DEE, and CIA, and Structural Equation Modeling analyses were performed to explore the interrelations among them. We found that IU influenced NEET's CIA primarily through the independent intermediaries of MU and DEE. Additionally, the chain intermediary of MU → DEE was significant. Our study indicated that MU and DEE partially mediated the relationship between IU and CIA, respectively. Digital communications through MU and DEE are playing an important role in the relationship between IU and CIA, respectively. Therefore, MU and DEE as studied in this research may work as alarm to foretell early of the CIA among NEET. Moreover, our findings could be used as a reference for promoting employment and increasing the employment rate among NEET population and might be a potential target for intervention or service delivery. Plain language summary: This study focuses on NEETs, which are individuals aged 15 to 34 years who are not involved in education, employment, or training programs. The aim of the study is to understand how the uncertainty of the COVID-19 pandemic, the use of memes on social media, and the ability to empathize with others' depressive emotions are related to career indecisiveness and anxiety among NEETs in China. The study collected data from 1,404 NEETs through an online survey and used statistical analyses to examine the relationships between these variables. The findings show that uncertainty affects career indecisiveness and anxiety among NEETs through the use of memes and the ability to empathize with depressive emotions. The study suggests that monitoring the use of memes and understanding depressive emotions on social media could help identify and support NEETs who are at risk of career indecisiveness and anxiety. These findings have implications for promoting employment and providing targeted interventions for the NEET population. [ABSTRACT FROM AUTHOR]

The purpose of the study is to study the impact of digital design on the communicative interaction between the consumer and the manufacturer. The study involved two groups of respondents. The first group included 47 digital design professionals (26 men and 21 women) involved in websites development. The second group included 49 consumers of these goods and services (25 men and 24 women). For the survey of respondents, a validated questionnaire was developed that included characteristics of the main digital design tools used to develop websites and aimed at attracting consumers of goods. The research has shown that the main factors of digital site design, affecting the communication between a manufacturer and consumers, are loading speed, security, usability, and the possibility of feedback. At the same time, designers prioritize the technical parameters of the site and the presence of the target audience, while consumers prioritize user-friendliness, site design, and information security. [ABSTRACT FROM AUTHOR]

This article will explore challenges posed by the digital communications revolution to some long‐standing concepts and assumptions around security, warfare, and peace. It will demonstrate the obsolescence of the traditional state‐focused national security paradigm with regards to matters of cybersecurity, as well as the limitations of conventional collective security approaches. It will also outline the Internet's potential as a peacebuilding medium, and the crossroads we currently face between a new era of cyberwarfare or an Internet for "cyberpeace." [ABSTRACT FROM AUTHOR]

The purpose of this research is to obtain an overview of the communication and interaction patterns occurring within the Converse fan group, Converse Head Indonesia, using the critical-constructivism paradigm. This study employs a digital ethnography strategy with a qualitative approach, utilizing in-depth interviews and observations of the group's activities on their Facebook fan page. Through interviews with six informants selected purposively and using the snowball technique, it was found that social interactions among CHI members are grouped into nine dimensional categories based on interview questions. The results reveal that members join the network to socialize and gain access to the latest Converse products, including benefits, price information, and where to obtain them. From the interactions among CHI members, exclusivity, value standards, appearance standards, and ethics were also identified. Lastly, it was found that the interactions within the CHI group predominantly emphasize economic values. [ABSTRACT FROM AUTHOR]

Previous studies have investigated the impacts of high-rise living on neighbourhood social interactions, yet this body of literature does not focus explicitly on intergenerational interactions, which are associated with distinctive benefits for older and younger generations. This qualitative study investigated how younger and older people interact in high-rise neighbourhoods, and identified the factors that hinder intergenerational interactions, through in-depth interviews with 23 young adults and 26 older people in Hong Kong. The findings revealed that the two generations rarely interact, partly due to generational differences in the use of public spaces, and partly due to socio-cultural factors, especially the pervasive culture of digital communication among younger people, and aversion to small talk in public spaces. The findings also highlighted the potential of new forms of interdependency-oriented interventions in enhancing intergenerational support, while respecting residents' desire for privacy. These findings highlight the need for culturally-sensitive interventions, in order to foster meaningful intergenerational interactions in high-rise neighbourhoods across different cultural contexts. [ABSTRACT FROM AUTHOR]

In a strong electromagnetic pulse environment, high-intensity, broadband electromagnetic pulse energy is transmitted to the communication interface circuit through the interconnection cable, causing interference or damage to the internal electronic components and chips, and even posing a serious threat to the entire communication equipment. Based on the field line coupling model, the coupling effects of communication device interfaces under different terminal impedances are studied in this paper. By establishing the coupling circuit model of RS-232 interface under HEMP, and combining with pulse injection experiment, the equivalent circuit model of RS-232 interface is accurately determined, and the damage threshold of the sending end of RS-232 interface under HEMP is obtained. Compared with the measured data before and after the interface damage, the accuracy of the model and the reliability of the modeling method are verified, and the two agree well. The proposed interface equivalent circuit model can not only accurately characterize the coupling effect of communication equipment interface under the action of strong electromagnetic pulse, but also provide simulation level support for the subsequent design of communication equipment interface protection circuit. This method can be extended to different types of strong electromagnetic pulse and communication interfaces, and has a good application prospect. [ABSTRACT FROM AUTHOR]

The development of digital tools that enhance communications, security and decision making have caught the attention of international development agencies, national governments, civil society organizations, and the private sector. The United Nations Development Programme (UNDP) has highlighted the importance of digital tools as a means "to improve justice sector efficiency, transparency and access to justicel, 1-1 while the European Commission has aligned them with "a new push for European democracy in line with the political priority of a Europe fit for the digital aget." With these observations in mind, this article focuses on the unique advantages and challenges presented by the ongoing efforts of digitalization as they pertain to litigation. I provide examples drawn from dilferent jurisdictions, policies, strategies, and success stories regarding this important phenomenon. [ABSTRACT FROM AUTHOR]

Amidst a flood of dangerous misinformation freely flowing online, we hear rising calls for government regulation of content. Even staunch defenders of free speech increasingly reason that digitization has altered contemporary communications so radically that it warrants changes in our legal treatment of speech. This paper argues that it does not. Such regulation would be wrong in principle and prove counter-productive, in practice. For it fails to address the problem's root, which is epistemological rather than legal. The paper is in four parts. First, it lays out the "Digital is Different" argument. Next, it responds, through two primary tracks: challenging the Difference Argument's underlying model of human knowledge acquisition and then analyzing two of the purported game-changers: network effects and the opacity of digital communications, which precipitate calls for transparency. The third part situates my argument against those of John Stuart Mill, the godfather of contemporary defenses of free speech, in order to expose some important differences and thereby sharpen the presentation of my own view. Finally, the paper proposes parallels between press freedom and religious freedom to illuminate the proper posture on government regulation. [ABSTRACT FROM AUTHOR]

In the current social and technological scenario, the term digital is abundantly used with an apparently transparent and unambiguous meaning. This article aims to unveil the complexity of this concept, retracing its historical and cultural origin. This genealogical overview allows to understand the reason why an instrumental conception of digital media has prevailed, considering the digital as a mere tool to convey a message, as opposed to a constitutive conception. The constitutive conception places the digital phenomenon in the broader ground of media studies, and it considers digital technologies as an interface between the subject and the world. In this perspective, the media is not added to the experience of the person, but it shapes it from within on a cognitive, expressive and communicative level. The article makes use of two powerful examples to show the shortcomings of an instrumental conception of the digital, and to affirm the value of a constitutive conception for current media studies regarding digital interfaces. [ABSTRACT FROM AUTHOR]

The first quarter of the 21st century has witnessed many technological innovations in various sectors. Likewise, the COVID-19 pandemic triggered the acceleration of digital transformation in organizations driven by artificial intelligence and communication technologies in Industry 4.0 and Industry 5.0. Aiming at the construction of digital twins, virtual representations of a physical system allow real-time bidirectional communication. This will allow the monitoring of operations, identification of possible failures, and decision making based on technical evidence. In this study, a fault diagnosis solution is proposed, based on the construction of a digital twin, for a cloud-based Industrial Internet of Things (IIoT) system contemplating the control of electro-hydrostatic actuators (EHAs). The system was supported by a deep learning model using Long Short-Term Memory (LSTM) networks for an effective diagnostic approach. The implemented study considers data preparation and integration and system development and application to evaluate the performance against the fault diagnosis problem. According to the results obtained, positive results are shown in the construction of the digital twin using a deep learning model for the fault diagnosis problem of an active EHA-IIoT configuration. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive framework for implementing digital twins in aircraft lifecycle management, with a focus on using data-driven models to enhance decision-making and operational efficiency. The proposed framework integrates cutting-edge technologies such as IoT sensors, big data analytics, machine learning, 6G communication, and cloud computing to create a robust digital twin ecosystem. This paper explores the key components of the framework, including lifecycle phases, new technologies, and models for digital twins. It discusses the challenges of creating accurate digital twins during aircraft operation and maintenance and proposes solutions using emerging technologies. The framework incorporates physics-based, data-driven, and hybrid models to simulate and predict aircraft behavior. Supporting components like data management, federated learning, and analytics tools enable seamless integration and operation. This paper also examines decision-making models, a knowledge-driven approach, limitations of current implementations, and future research directions. This holistic framework aims to transform fragmented aircraft data into comprehensive, real-time digital representations that can enhance safety, efficiency, and sustainability throughout the aircraft lifecycle. [ABSTRACT FROM AUTHOR]

Digital communication systems usually suffer from two factors: inter-symbol interference and impulsive noise. To improve the performance of communication receivers, this paper proposes a good solution to a linear blind equalizer. Firstly, a new lower-order statistic with a lower influence of impulsive noise is constructed based on a nonlinear function. Secondly, an unconstrained optimization problem is formulated by minimizing the mean square error related to the new lower-order statistic, and a new equalization algorithm is derived to effectively compensate for the inter-symbol interference. Thirdly, to further enhance the robustness of the proposed algorithm, the iterative formula of the proposed algorithm is handled by normalizing samples. Finally, numerical simulation results demonstrate that the proposed algorithm achieves better performance under Gaussian and impulsive noise. [ABSTRACT FROM AUTHOR]

Prior to its political appropriation, "groomer" characterized adults earning children's trust, so they can manipulate and sexually exploit them. Conservative activists have recently transformed "groomer" into an anti-lesbian, gay, bisexual, transgender, and queer (LGBTQ) slur. This critique of anti-"groomer" rhetoric examines an organization called Gays Against Groomers (GAG). GAG's website, which is presumably run by "gays," depicts children as especially vulnerable to queer "indoctrination" and "mutilation." Investigative probes recently conducted by The Advocate, the Anti-Defamation League ("Online Amplifiers," 2023), and Media Matters revealed that far-right hate groups and anti-LGBTQ conservative media strategists are largely responsible for the group's genesis. GAG participates in a duplicitous online discourse I call digital ventriloquism. In this context, digital ventriloquy describes online communication where anti-LGBTQ cadres throw their voices into a "dummy" organization that seemingly operates from a divergent social location. GAG's homonormative cooptation of the groomer pejorative results in a dangerous paradox of speaker location, or social identity, that virtually erases child molestation from anti-"grooming" speech, and recasts transgender people and progressive gender education as child pollutants. [ABSTRACT FROM AUTHOR]

In wireless communication systems, the information is transferred as digital symbols that get affected by noise interference while transmitting through the wireless channel. In today's world, the increased demand for rapid data transmission rates leads to more inter-symbol interference in the received signal. To diminish the effects of inter-symbol interference, adaptive channel equalization is utilized in digital communication. In this paper, the inter-symbol interference effect in the finite impulse response channel is reduced in terms of an adaptive equalizer method. The weights/coefficients of the equalizer are optimized through a tunicate swarm algorithm. Channel equalization involves optimizing the channel coefficients to mitigate the impact of inter-symbol interference. This equalization process can be viewed as an iterative optimization task, aimed at lessening the mean square error among the transmitted signal and the equalizer's output. The implementation of the proposed method is executed using MATLAB software. We assess its effectiveness through a comparative analysis, considering metrics such as mean square error, learning rate, bit error rate, convergence rate, and computational time. Furthermore, we conduct a comparative evaluation with other optimization approaches, including the Bat Algorithm, Slime Mould Algorithm, and Harris Hawks Optimization Algorithm. This comparison demonstrates the superiority of the proposed algorithm over traditional optimization techniques. [ABSTRACT FROM AUTHOR]

Digital phase-locked loops (PLLs) are essential feedback circuits for synchronizing signals in digital communication systems. While amplitude and phase vary continuously in analog oscillators, the amplitude remains constant in digital oscillators with dynamical variations manifesting exclusively through changes in the timing of signal transitions. In this work, we introduce a novel analytically solvable event-based model for phase-locking in digital PLLs that leverages the discrete nature of digital signals. By employing a sampled control strategy, we demonstrate one-to-one and higher ratios of frequency locking under positive and negative feedback. By discretizing the continuous control signal, we drive a discrete iterative map, which we then use to derive analytical expressions for bifurcation curves, analogous to Arnold's tongue in analog oscillators. This mathematical framework provides an analytical approach for the analysis of synchronization and phase-locking in digital oscillators. Furthermore, the event-based control presented in this work for digital oscillators paves the way for energy-efficient circuit design and optimized control strategies for future digital communication systems. [ABSTRACT FROM AUTHOR]

In this article we analyze the digital interaction between 23 local public authorities from Romania's North-East region and citizens through the Facebook social network, focusing on two clusters grouped more by the administrative and economic importance of the cities rather than strictly by population size. The study measures the engagement level using specific indicators (Posts, Reactions, Comments, Shares) for the May-June 2024 period, strategically coinciding with an interval estimated to have intense civic activity. The results indicate substantial variability in digital communication strategies, with clear patterns of inactivity on certain days and significant differences in performance regarding social media use in institutional communication. The data analysis provides empirical bases for optimizing communication strategies and more territorially balanced digitalization policies. [ABSTRACT FROM AUTHOR]

The role of communication management in the development of rural areas is becoming increasingly significant for achieving sustainable social and economic growth in these communities. Effective communication and information management are key factors in connecting local actors, fostering collaboration among organizations, and promoting rural areas as attractive destinations for tourism and investment. Through the analysis of best practice examples, this paper explores the strategies and tools of communication management that contribute to enhancing the quality of life in rural areas. Special emphasis is placed on digital media and social networks as channels for promoting local products and traditions, facilitating easier connections with broader audiences and markets. The aim of the paper is to highlight the importance of a planned and tailored approach to communication that can contribute to the long-term development and sustainability of rural communities. [ABSTRACT FROM AUTHOR]

In the digital age, the safeguarding of information through effective cybersecurity measures is paramount. This paper presents the development of a robust cryptographic model tailored for cybersecurity applications. The background underscores the increasing prevalence of cyber threats and the necessity for advanced encryption techniques to ensure data confidentiality, integrity, and authenticity. The methodology involves the design and implementation of the cryptographic model using state-of-the-art algorithms and protocols. Rigorous testing and evaluation were conducted to assess the model's performance in various cyber environments. The results indicate that the proposed model significantly enhances security, demonstrating high resistance to common cyber-attacks with an average encryption time of 0.5 seconds for a 1MB file and a decryption accuracy rate of 99.9%. The model also achieved a data integrity verification success rate of 99.8% and an overall system efficiency improvement of 45% compared to existing models. The conclusion highlights the model's effectiveness and potential for broad application in securing digital communication, offering a substantial contribution to the field of cybersecurity. [ABSTRACT FROM AUTHOR]

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The advent of 6G technology will transforms aviation, particularly in the realm of aircraft health monitoring systems (AHMSs). This paper explores the transformative potential of 6G in enhancing real-time data exchange, predictive maintenance, and overall communication efficiency within the aviation sector. By using ultra-fast data transmission, low latency, and advanced AI integration, 6G enables the development of a unified AHMS architecture that significantly improves aircraft safety, operational efficiency, and reliability. The proposed eight-layer AHMS model, incorporating digital twins, federated learning, and edge computing, showcases how 6G can revolutionize aircraft maintenance by providing continuous, real-time monitoring and decision-making capabilities. [ABSTRACT FROM AUTHOR]

The main purpose of current study was to investigate the relationship between teachers’ attitude towards technology and digital communication skills at primary level. Present study was correlational in nature. Population of present study was comprised of all the teachers who were working in primary schools in city Sheikhupura. The sample size was comprised of 390 male and 324 female primary school teachers. Two survey questionnaires were adapted as instruments to collect data. The reliability of the instruments was .722 and .885 respectively. Data were analysed using inferential statistics. Research findings revealed a significant positive strong relationship between the teachers’ attitude towards technology and digital communication skills. There was no significant difference between primary school teachers’ attitude towards technology and digital communication skills at primary school level based on their gender and locality. Findings of the study recommended the vital role technology plays in fostering effective communication within the educational environment. [ABSTRACT FROM AUTHOR]

This research aims to analyze the digital marketing communication strategies carried out by influencers via TikTok Live Streaming. The basic concept used in this research is the SOSTAC Model of Digital Marketing Theory from PR Smith. This type of qualitative descriptive research uses as many as five informants who own TikTok accounts. Data collection techniques were conducted through in-depth interviews and observations of each informant's TikTok Live Streaming. Data analysis uses the Miles and Huberman interactive model. The research results showed that TikTok Live Streaming was used as a digital marketing communication medium. This feature makes it easier for consumers to get product information. Influencers play an important role in TikTok Live Streaming regarding consumer behavior, purchasing decisions, and purchase intentions. Influencers can build relationships with consumers, especially for businesses targeting millennial customers, while social media is used to encourage product engagement and brand loyalty. Influencers have credibility and understanding regarding the products of the brand they are communicating with. When doing live streaming, influencers need a strategy, tactics, action, and control to reach the target market more quickly. Digital marketing communication strategies can increase communication messages' effectiveness and help achieve communication goals. [ABSTRACT FROM AUTHOR]