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Despite increasing digitalization and automation, complex production processes often require human judgment/decision-making adaptability. Humans can abstract and transfer knowledge to new situations. People in production are an irreplaceable resource. This paper presents a new concept for digitizing human expertise and their ability to make knowledge-based decisions in the production area based on ontologies and causal Bayesian networks for further research. Dedicated approaches for the ontology-based creation of Bayesian networks exist in the literature. Therefore, we first comprehensively analyze previous studies and summarize the approaches. We then add the causal perspective, which has often not been an explicit subject of consideration. We see a research gap in the systematic and structured approach to ontology-based generation of causal graphs (CGs). At the current state of knowledge, the semantic understanding of a domain formalized in an ontology can contribute to developing a generic approach to derive a CG. The ontology functions as a knowledge base by formally representing knowledge and experience. Causal inference calculations can mathematically imitate the human decision-making process under uncertainty. Therefore, a systematic ontology-based approach to building a CG can allow digitizing the human ability to make decisions based on experience and knowledge. [ABSTRACT FROM AUTHOR]

These developments have the potential to foster additional innovation, facilitate future problem-solving and optimisation strategies, and ultimately contribute to mature OWC technologies. Keywords: optical communication; underwater optical wireless communication EN optical communication underwater optical wireless communication 87 90 4 08/24/23 20230801 NES 230801 Since 2011, optical wireless communication (OWC) technologies have gained momentum. These technologies include visible light communications (VLC), underwater VLC, Li-Fi, optical camera communications (OCC), visible light positioning, visible light sensing and free space optics, among others. [Extracted from the article]

This paper examines the impact of digital technologies and tools on business communication in the contemporary business environment through the prism of new communication channels. Every technological breakthrough throughout history has altered the way people communicate, beginning with the discovery of the printing press, telegraph, radio, and television. In the fifth industrial revolution and contemporary environment, business communication becomes increasingly focused on current digital technologies and tools. Traditional communication, which was inherently slow, is being phased out in favor of interactive and quick communication. Communication through modern digital technologies and tools has many benefits, but it also has some drawbacks, including the possibility of misunderstandings and conflict. This paper discusses the digital age’s key communication channels, including smart mobile phones, short messages (sms), multimedia messages (mms), voice mail, Viber, WhatsApp, iMessage, Skype, Google Hangouts, Slack, teleconferences, video conferences, e-mail, intranet, organizational social and professional networks, and various business communication applications. Besides from their essential characteristics and advantages, this paper highlights key limitations that should be considered in order to eliminate or lessen misunderstandings and conflict situations. [ABSTRACT FROM AUTHOR]

This paper describes the research published during the period 2011-2020 by five leading Spanish peer-reviewed journals of communication, aiming to identify the most common theoretical frameworks and standard theories. A statistically representative sample of the articles published during that period was systematically selected from the five journals of communication ranked as having the greatest continuity and impact according to SJR-Scopus: Profesional de la Información, Comunicar, Communication & Society, Estudios sobre el Mensaje Periodístico and Revista Latina de Comunicación Social. A coding protocol that includes 13 variables and 74 categories was defined and applied to compare the type of theoretical frameworks and the theories in the different subject areas observed. The results show that although almost all the papers studied have a theoretical framework, fewer than half are grounded on recognizable theories. Specifically, journalism and digital communication are the two subject areas whose articles frequently include standard theories: in journalism by the support of classical theories of communication (framing, agenda setting, journalistic professional cultures and roles), and in digital communication by the support of more theoretically dispersed frameworks. Theoretical frameworks developed by literature review are common in other subject areas (such as audiovisual studies, public relations and documentation). [ABSTRACT FROM AUTHOR]

Purpose: This paper refines the Digital Media–Arena (DMA) framework to address the diversity of stakeholders contributing to the production, (re)appropriation and (re)distribution of organisational messages in digital environments. It also presents a case analysis for the purpose of demonstrating the applicability of the revised conceptual framework to a critical situation. Design/methodology/approach: Grounded in key public relations, corporate communication and strategic communication research, this study first extends the DMA framework by introducing six new forms of media-arenas. Next, the study takes a public sector perspective to analyse the revised framework against a critical situation involving the Finnish prime minister in summer 2022. Findings: The application of the revised DMA framework to analyse the critical situation shows the importance of mapping and understanding diverse discourses across multi-arenas and their communication role in a rapidly unfolding scandal surrounding the prime minister of Finland. Findings also reveal the diversity of stakeholder voices forming their own versions of organisational messages and sometimes converging organisational messages within and across DMAs. Practical implications: The DMA framework can offer practical suggestions to guide communicators to make strategic choices in what, where, how and with whom they can communicate. Originality/value: The revised DMA framework contributes expanding the field's knowledge of the strategic communicative use of the digital environment in typically highly volatile and multi-vocal situations by offering instrumental understanding of the conflicting challenge between subjugating and liberating organisational messages across the digital spectrum. [ABSTRACT FROM AUTHOR]

Improving the printability of paper is still a relevant challenge, despite the fast development of digital communications. While it is well-known that cationic starches enhance ink density, their commercial paper-grade forms are limited to ethers with low degree of substitution. This work addresses the underexplored potential of highly substituted cationic starch for paper coating and its combination with tri-block polymers, namely Pluronics (P123 and F127), taking advantage of their supramolecular interactions with amylose chains. For that purpose, cationic starch ether and ester (starch betainate), both with a degree of substitution of 0.3, were synthesized by alkaline etherification and by transesterification, respectively. Paper without any surface treatment was subjected to one-side bar coating with suspensions encompassing those products and Pluronics, besides other common components. Black, cyan, yellow and magenta inks were printed on all coated papers through an inkjet printer. Key properties of printing quality such as the gamut area, gamut volume, optical density, print-through, inter-color bleed and circularity were measured in a controlled temperature-humidity environment. For instance, a formulation with cationic starch (ether/ester) and P123 improved the gamut area by 16–18% in comparison to native starch-coated paper sheets. Interestingly, the individual assessment of each component showed that cationic starch ether, starch betainate and P123 only improved the gamut area by 5.6%, 8.9% and 6.8%, respectively. Finally, but not less importantly, starch betainate was found to quench optical brightening agents to a lesser extent than cationic starch ethers. [ABSTRACT FROM AUTHOR]

This paper examines the digital economy's impact on rural household consumption upgrading. Existing studies remain mainly at the level of rural consumption scale and rarely address the consumption structure. The specific impact of the development of the digital economy on rural consumption upgrading and its mechanisms of action deserves in-depth study and consideration. We analyzed the related content using the fixed-effect model, the instrumental variable method (IV), the mediation effect model, and three-year panel data from the China Family Panel Studies (CFPS). This study found that, at the scale level, the digital economy contributes to expanding rural household consumption. At the structural level, the digital economy significantly increases the share of enjoyment-oriented household consumption but has no significant effect on development-oriented consumption. Income is an important transmission mechanism for the digital economy to improve rural household consumption. Besides, the impact of the digital economy on the upgrading of rural consumption varies according to income level and age. [ABSTRACT FROM AUTHOR]

Applications for Large Scale Outdoor Display Systems continue to expand and enable digital visual communication to an audience in more physical spaces than ever before. These displays can range in size from one to hundreds of square meters and must perform in challenging environmental conditions while meeting expectations for image quality and minimizing environmental impact. This paper will explore LED technologies that support today's applications and the technologies that may support future applications. LED and reflective technologies will be presented with the advantages and limitations highlighted by application [ABSTRACT FROM AUTHOR]

This paper discusses digital neighbourhood communication in rural areas and its effects on local communal life. Therefore, survey data as well as guided interviews of residents in Metelen, county Steinfurt (Germany), are analysed. The results indicate that using digital neighbourhood platforms in rural communities intensifies contacts and further strengthens the feeling of social participation.However, digital neighbourhood contacts do not facilitate relationships concerning analogous material exchange, such as lending items. Furthermore, the analysis of the qualitative interviews shows that digital neighbourhood communication is used in the organisation of community life, presents local activities, and simplifies the organisation of local customs. All in all, those digital structures are mainly used for information purposes. Consequently, digital neighbourhood relations must be regarded when developing and organising future public services, although a functional usage is required to achieve a successful outcome. As digital contact emerges from analogous contact, occasions and infrastructure to actually ensure direct contact are inevitable. [ABSTRACT FROM AUTHOR]

The text describes the organization of a Special Issue in the Sensors journal titled "Recent Trends and Advances in Telecommunications and Sensing." The Special Issue was based on papers presented at the 17th International Conference on Telecommunications (ConTEL) held at Graz University of Technology in Austria. The conference covered various topics related to telecommunications, including optical communications, satellite communications, IoT, and security. Nine papers were accepted for publication in the Special Issue, covering subjects such as network experimentation, optical camera communications in healthcare, and anomaly detection in firewall logs. The authors of the text are Erich Leitgeb, Maja Matijašević, Wilfried Gappmair, and Mario Kušek. [Extracted from the article]

This study uses three archiving efforts at the New York Times as a means to analyse the newspaper as an archival object. I study the traditional 'morgue' of physical clippings and photos, the Times' joint project with Google Cloud to digitize its photo collection, and the TimesMachine interactive digital archive, which made scanned editions of printed issues from 1851 to 2002 publicly available online. Based on interviews with staff and analysis of documents describing past and present newspaper archiving practices, it is clear that the digital archive is not a comprehensive copy of an analogue original. There are a significant number of documents stored in physical archives that have not been translated to digital, and whose loss would be detrimental to historians and media scholars alike. Moreover, even the documents that have been scanned and made available as digital objects do not perfectly mirror their analogue equivalents, meaning that information loss is inherent to the digitization process. As active producers of the past for contemporary purposes, these online news archives serve as cultural gatekeepers, actively shaping journalistic practice and reframing current events in reference to the past. [ABSTRACT FROM AUTHOR]

With the development of the times, figurative expressions no longer meet the creative needs of artists and the aesthetic demands of the people. In order to express art in a more profound way, the perfect use of abstract graphics plays a crucial role in the success of the work. In recent years, there has been a surge in the creation of digital art, but there is relatively little theoretical literature on the combination of abstract graphics as a visual language and digital art. In addition, research on the theoretical aspects of digital art design is also relatively weak, so it is essential to analyse the formal aesthetics and innovative applications. In fact, digital art design has a very important role to play in promoting the development of creative cultural industries. In other words, the healthy development of digital art design can influence the future prospects of a country's creative and cultural industries. Digital art design is an integrated and complex production process and labour outcome. In addition to its human, aesthetic, and social value, digital art also has an economic value. Digital art is a new art form that combines digital technology and artistic aesthetics. As such, digital art is characterised by high technology, diverse forms, popularised art, and the advantages of high communication, interactivity, and influence, which can provide more assistance for the innovation and application of abstract graphics. Digital art is multifaceted and has an artistic expression that cannot be matched by other forms of technology. Abstract graphics, driven by digital art, are full of novelty and interest and can greatly enrich people's emotions and senses. Abstract graphics bring the experience of digital art to its fullest potential. The combination of digital art and abstract graphics offers more innovation and possibilities for the development of art and will bring great prosperity to art communication. With the widespread use of computer and network technology, the Internet has developed rapidly. In this context, digital art, as art created in a digital way and concept, has gained widespread attention. As a result, how to integrate existing computer resources in the new environment to build a model of digital art design effectiveness will cause a direct influence on the quality of digital art design with digital content innovation as the core. At the same time, as digital art becomes more and more popular, the demand for digital talents becomes very urgent. As a result, the cultivation of high-quality digital talents has become a major concern for society. Therefore, in order to explore the success of digital art design and the cultivation of digital art talents, and to better serve the innovation of digital art, this paper proposes a digital art effectiveness model based on the K-medoids algorithm. This model can provide a deeper and more comprehensive understanding of digital art and abstract graphics and provide theoretical support for professional design creation. [ABSTRACT FROM AUTHOR]

Long Short-Term Memory (LSTM)-Based Dog Activity Detection Using Accelerometer and Gyroscope. The third paper, authored by Jeong et al. [[14]], introduced a fall detection system that combines a simple threshold method (STM) and LSTM, creating the STM-LSTM-based fall detection system. With rapid advancements in artificial intelligence (AI), the Internet of Things (IOTs), and communication networks, the future of information and communication engineering (ICE) promises remarkable opportunities and challenges. 10.3390/app12199801 18 Zhang M., Wang C., Zhu W., Shen Y. An Intelligent DOA Estimation Error Calibration Method Based on Transfer Learning. [Extracted from the article]

Cloud computing is one of the latest and greatest environments for delivering Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS) in digital communications infrastructure. Cloud computing helps the user remotely access the required service as needed through the Internet. But this technological advancement, due to its remote availability in the cloud, leads to new attacks. One of the biggest threats to cloud infrastructure is Distributed Denial of Service (DDoS) flooding attacks. DDoS flooding attacks are clearly trying to exploit the availability of services for a legitimate user. An attacker gains access to a large number of computers (i.e., botnets) by exploiting the vulnerabilities, and then uses the botnets to initiate an organized attack with a large number of targets. This paper analyses the latest methods for detecting and preventing Distributed Denial of Service (DDoS) attacks. It also provided methods and technologies for preventing, detecting, and responding to DDoS flood attacks. [ABSTRACT FROM AUTHOR]

With the rapid development of wireless communication technology, modulation signals are more and more intensive in the same frequency. Time-frequency overlapped signal over co-channel widely exists in the shortwave, ultrashort wave and satellite channels, so the research on the time-frequency overlapped signals in non-cooperation receiver is of great significance. This paper firstly studies on blind estimation of amplitude of time-frequency overlapped signals. On the basis of deep analysis of cyclic stationary characteristic in the time-frequency overlapped signals, an amplitude estimation method of time frequency overlapped signal over co-channel based on four-order cyclic cumulants is proposed. The magnitude of the signal components is estimated by using the amplitude value of four-order cyclic cumulants of overlapped signals in certain cyclic frequency. And then an initial phase estimation method based on four-order cyclic cumulants is proposed in this paper. Experiments are conducted to verify the proposed parameter estimation method of time-frequency overlapped signals in this paper. Simulation results show that the proposed blind estimation method can achieve better estimation performance in low signal-to-noise ratio (SNR) conditions. [ABSTRACT FROM AUTHOR]

In the new era ushered in by Covid-19, priority has been given to peoples' wellbeing. Wellbeing in virtual communities was analysed from several perspectives, such as healthcare, technology, and social science: hence, the importance of a literature review that clarifies how studying health, happiness, comfort and quality of life of virtual communities' members could guide firms to conceive their digital communication and marketing strategies. This work presents a literature review of papers spanning from 2010 to 2021, and which study digital marketing strategies driven by wellbeing in virtual communities. Results indicate a growing research interest after the pandemic regarding both positive and negative wellbeing dimensions, especially as drivers for digital segmentation, targeting and positioning strategies. Moreover, results highlight the remarkable increase of papers focusing on the tourism industry, game related strategies, and marketing analytics as relevant tools that support digital communication and influence strategies towards virtual communities. Finally, this literature review provides researchers with guidance for future studies in terms of relevant methodologies and areas of research not yet explored. [ABSTRACT FROM AUTHOR]

This article reviews the development of digital twin and summarizes the evolution of the concept of digital twin. The key words and abstracts of 1187 relevant papers in recent 5 years are quantitatively analyzed, and 13 key nodes are obtained. Then it analyzes the content of 9 systematic review articles and summarizes 15 core contents. Then select 115 application examples from the articles. Through the above three steps, nine descriptive general characteristics of digital twin system are summarized: Entity object; Virtual object; Twinning degree; Communication; Data; Functionality; Human-computer interaction; systematicness; and Cost control. This paper will explain these features in detail and summarize the application examples of classifying each feature. This paper aims to summarize the development of digital twin in recent years and propose a description method of system characteristics according to the application scenario of digital twin and the increasingly complex situation of the system. [ABSTRACT FROM AUTHOR]

The paper argues for the renewed relevance of time geography in tourism in light of the use of mobile technologies and ubiquitous connectivity. The paper proposes the concept of phygitality to understand how digital technologies are used in physical space, and how the interaction between the physical and the digital reconfigures tourists' projects, paths, bundles, and constraints. The theoretical contribution builds on fifteen semi-structured interviews. The analysis shows that capability, coupling, and authority constraints are altered and mediated by digital devices. In the phygital time-space, tourists orient themselves in physical spaces, influenced by digital information; they create phygital paths and move between stations that result from the overlaying of digital information onto the physical space. Tourists' goal-oriented mobility results in phygital projects, where logics of efficiency and optimization reduce the liminality of the tourist experience. Tourists' bundles are created within and outside the physical vacation prism through digital communication. [ABSTRACT FROM AUTHOR]

Copyright of Military Technical Courier / Vojnotehnicki Glasnik is the property of Military Technical Courier / Vojnotehnicki Glasnik 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.)

This paper focuses on usage of digital qubits on a digital quantum computing platform implemented on FPGAs. Modifications have been made to existing digital qubit standards to account for complex probability amplitudes and not only real ones. This paper introduces an improved transient effect ring-oscillator based TRNG used in the scope of this project. The objective of this was to simulate the addition of environmental noise in a digital setting. Using the newly designed digital qubits, a few quantum logic gates have been designed to work on the FPGA platform using Verilog. These logic gates have then been used to implement entanglement on a digital hardware platform. Furthermore, this paper implements communication between two digital quantum computers over both wired and wireless media by transmitting alphabetical messages as qubits and compares the same with transmission involving classical digital bits only. [ABSTRACT FROM AUTHOR]

Awareness of climate change as an intergenerational issue with inequitable risk burden for younger generations is a relatively recent phenomenon. However, youth activists have already managed to come to occupy a meaningful role in climate advocacy. Accepting the invitation to search for positive new discourses to live by, this paper applies a positive discourse analytical lens to the study of the online discourses produced by the youth climate activists of Generation Climate Europe (GCE), the largest coalition of youth-led networks on climate and environmental issues at the European level, examining how GCE newsletters and podcasts use discursive strategies and multimodal resources to communicate their message. The (corpus-assisted) positive discourse analysis of this GCE-produced content revealed that the youth activists designed a complex virtual space brimming with cross-references, intertextuality, and options for its audience that projected an identity for the coalition as a productive, solution-oriented, and agentive organization. The discourses produced by GCE were carefully tailored to a specific interpretive community and they aimed to both claim and impart authority and expertise. GCE's interactional practices strove to generate wiggle room to resist the status quo and advocate for critical issues such as intergenerational justice and institutional transparency. In disclosing these results, the authors hope to have contributed to understandings of how sustainable climate advocacy is currently being enacted by youth within digital communication across platforms. [ABSTRACT FROM AUTHOR]

Copyright of European Review of Public Law is the property of European Public Law Organization 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.)

In this paper we discuss the creation of the Stephen Hawking Archive through processes of collaboration, and human and technological mediation. We focus on the production of documents including scientific and popular writings, correspondence and lectures in different media and forms of communication from handwriting, diagrams and typing to word processing and digital communication. We consider these processes to think about what is important in the Stephen Hawking Archive, including where authorship is located, and what this shows about scientific collaboration and communication in the late twentieth and early twenty-first century. We also briefly consider how archivists have mediated the Archive since it was received by Cambridge University Library (CUL) in 2021 through its arrangement and description, and we look forward to developing the Archive in the future, including the possibility of acquiring further digital files to include in the Archive. [ABSTRACT FROM AUTHOR]

This paper first presents six (6) types of benchmark amplitude design specifications, including variable low-pass specification, variable high-pass specification, variable bandpass specification, variable bandstop specification, variable notch-frequency specification, and variable notch-width specification. The design specifications can be taken as typical benchmark specifications targeted at testing as well as validating the effectiveness of various newly developed algorithms for designing various typical variable filters (VFs). Then, the paper provides a novel unity-bounded (UB) function developed for ensuring the stability of those VFs with recursive structures. Finally, a wide variety of simulation results are included for validating the design performance as well as the assured stability by using both the benchmark design specifications and the novel UB function. [ABSTRACT FROM AUTHOR]

The positive contributions that small and medium-sized enterprises (SMEs) make in the iron and mining industries are vital for the development of the global economy. However, their costly operations in disadvantaged regions and the green economy interests of financial institutions have made them face more financial obstacles that decrease their export and financial performance. In this regard, their ability to use marketing communication tools that are included in the dynamic capability of Resource-based View theory (RBV) can reduce their exporting and financial performance concerns. This is because using these marketing communication tools presents them with less costly marketing solutions and provides competitive advantages for SMEs against their larger-sized rivals. In this regard, this paper aims to analyze the impact of one-way (telemarketing, direct mail, website, etc.) and two-way marketing communication tools (social media platforms) on SMEs' export intention and financial performance from the iron and mining industries. The research team collected data from 1221 SMEs operating in Eastern European countries via an internet-mediated questionnaire to hit this target. The impacts of the marketing communication tools on export intention and financial performance are analyzed via the Binary Logistic Regression Test. The results show that while using one-way and two-way marketing communication tools does not affect the export intention of SMEs, it negatively affects their financial performance. The reason for these results might be related to the location and sector in which SMEs operate. [ABSTRACT FROM AUTHOR]

The competition inside higher education institutions, namely universities, is tightening, putting emphasize on competitive intelligence (CI) function. At the same time, communication has shifted to digital channels, this trend was largely influenced by Corona virus pandemic. This presents a challenge for university reputation measurement and ranking, while the electronic word to mouth (E-wom) is more challenging to measure, control or influence than the issues measured in traditional university rankings. While traditional metrics are based on measuring academic reputation via surveys and gathering data from research organisations, this paper presents a way to include AI, namely chatGPT and big-data based media-analytics with social media sentiment to aid analysing the reputation of a University. Results based on Finnish universities indicate, that differences between media visibility and sentiment exist, and can be to some extent utilized in rating universities in local level and also generalize to global level, finally targeting to URS (University reputation score) -index. Due to complexity of measuring the reputation of the university strictly via AI and automated opinion mining, several limitations exist. The context of Finnish universities were chosen in order to limit the scope of the analysis. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to provide a systematic review of omni-channel marketing (OCM) literature and explore how it relates to business-to-business (B2B) marketing campaign development in the digital era. OCM's evolution is tracked, exposing the areas in which research is most prevalent while also recognising knowledge gaps. Informed by these literature insights, the changing B2B channel dynamics that present within a digital era customer journey are appraised. An OCM model for B2B marketing campaign development is produced and avenues to further research are presented. Design/methodology/approach: This paper uses a systematic approach to explore OCM literature. This review informs an OCM model for B2B marketing campaign development to help advance conceptualisation of OCM B2B customer engagement as an emerging phenomena in the digital era. Findings: With just 21 papers identified, OCM is assumed to fit the criteria of an emerging concept as proposed in previous research studies. The proposed model presents the changing B2B omni-channel dynamics that can be used to create B2B OCM strategies, incorporating the myriad of B2B customer channels and touchpoints currently fabricating the modern B2B marketing terrain. Research limitations/implications: Conceptual in nature, there is a need for more empirical research to fully comprehend the emerging OCM landscape and how it relates to B2B customer dynamics. Originality/value: This research provides much-needed conceptualisation of data capture and management strategies for B2B marketing campaign development across the omni-channel in the digital era. While systematic literature reviews exist within the OCM realm, none have charted the current OCM literature. [ABSTRACT FROM AUTHOR]

Copyright of ModaPalavra e-periódico is the property of Universidade do Estado de Santa Catarina 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.)

This document is a response to a comment made by Robertas Damaševičius regarding an article on info-autopoiesis and artificial general intelligence (AGI). The response addresses specific points raised in the comment and clarifies the author's position. It emphasizes that info-autopoiesis, the self-creation of information, is fundamental only to humans and not achievable by artificial creations. The article argues for the impossibility of achieving AGI using info-autopoiesis and suggests that resources should be directed towards more achievable goals in AI. The response also discusses the relationship between biological aspects of human intelligence and AI research, highlighting the use of neural networks and considering the architecture of AGI. It concludes by stating that info-autopoiesis sets a limit to human knowledge based on fundamental principles and that all human creations are syntactic and incapable of semantic interpretation. The text discusses the concept of info-autopoiesis and its application to AI research. Info-autopoiesis is a framework that aims to explain how living organisms function, and the paper explores its potential implications for AI and AGI development. The author acknowledges the limitations of info-autopoiesis and emphasizes the need for interdisciplinary collaboration and ethical considerations in AI research. The text concludes by suggesting areas for further research and expressing gratitude for the comments and suggestions provided by Robertas Damaševičius. [Extracted from the article]

Knowledge diffusion in regional innovation ecosystems is an important factor that influences the regional innovation efficiency. In regional innovation ecosystems under digital empowerment, the knowledge diffusion enables the optimal allocation of innovation resources and promotes the sustainable development and ecological evolution of regional innovation ecosystems. In this paper, a SEIR (Susceptible–Exposed–Infected–Recovered) model is proposed for knowledge diffusion in regional innovation ecosystems under digitization. The basic reproduction number of the proposed model is calculated and its stability is validated. Finally, the expressions for the optimal control system and the optimal control parameters are presented. According to the research conclusions of this paper, the knowledge-diffusion ability of innovation agents in an innovation ecosystem affects the knowledge diffusion in a system; the contact rate between innovation agents affects the efficiency of knowledge diffusion in the system and the structure of the system; the digital transmission ability of innovation agents affects the breadth of knowledge diffusion in the system; and the self-learning ability of innovation agents affects the efficiency of knowledge diffusion in the system.The digital technologies help heterogeneous innovation agents in regional innovation ecosystems to break down the knowledge silos. At the same time, the digital technologies enhance the ability of innovation agents to absorb and learn knowledge in regional innovation ecosystems under digitization, thereby increasing the infection rate of knowledge diffusion in such systems.These conclusions extend the theoretical boundaries of innovation ecosystems and knowledge diffusion and offer management implications for enterprises and governments in decision-making. [ABSTRACT FROM AUTHOR]

Deepfakes are a technological innovation that might be understood to violate the documentary film's relationship with the real. Yet documentary makers have been among the first screen producers to adopt this technology, using it to swap the faces or voices of people they present to their audiences, further disrupting the already complex relationship between the filmmaker and their subject. This paper investigates the growing practice of documentary deepfakes, using two case studies of documentary films from the period 2019–2022 that have used varied forms of deepfakery, examining the intentions of the filmmakers, the technical processes and the ways in which creative choice is both expanded and limited by the technology. An interview-based research methodology provides original insights into filmmakers' rationales when creating deepfakes. The paper reveals the contradictions inherent in deepfake practice, as described by one documentary filmmaker: 'I'm looking at deepfake as a way of telling the truth' (Benjamin Field, producer). A central theme is the ethics of documentary practice using manipulative AI. This paper contributes new insights to theoretical discourse around the digital manipulation of the moving image, discussing the growing disruption caused by deepfakes to documentary film culture and audiences. [ABSTRACT FROM AUTHOR]

Orthogonal polynomials and their moments serve as pivotal elements across various fields. Discrete Krawtchouk polynomials (DKraPs) are considered a versatile family of orthogonal polynomials and are widely used in different fields such as probability theory, signal processing, digital communications, and image processing. Various recurrence algorithms have been proposed so far to address the challenge of numerical instability for large values of orders and signal sizes. The computation of DKraP coefficients was typically computed using sequential algorithms, which are computationally extensive for large order values and polynomial sizes. To this end, this paper introduces a computationally efficient solution that utilizes the parallel processing capabilities of modern central processing units (CPUs), namely the availability of multiple cores and multithreading. The proposed multi-threaded implementations for computing DKraP coefficients divide the computations into multiple independent tasks, which are executed concurrently by different threads distributed among the independent cores. This multi-threaded approach has been evaluated across a range of DKraP sizes and various values of polynomial parameters. The results show that the proposed method achieves a significant reduction in computation time. In addition, the proposed method has the added benefit of applying to larger polynomial sizes and a wider range of Krawtchouk polynomial parameters. Furthermore, an accurate and appropriate selection scheme of the recurrence algorithm is introduced. The proposed approach introduced in this paper makes the DKraP coefficient computation an attractive solution for a variety of applications. [ABSTRACT FROM AUTHOR]

This paper introduces a novel approach to enhancing multi-level security using steganography, a method of concealing information within non-secret data. This paper introduces an innovative approach to multi-level security enhancement using steganography, the art of concealing information within non-obvious data. Our proposed method uniquely combines Dynamic Least Significant Bit (DLSB) steganography with Wavelet Obtained Weights (WOW) steganographic algorithms, forging a sophisticated and adaptable system for secret data embedding. In our enhanced approach, we start by embedding text into an image using an optimized version of DLSB steganography. This refined technique adapts intelligently to the image's local contrast, thereby preserving its visual quality and ensuring the integrity of the embedded information. Subsequently, the payload image is merged with a cover image through the WOW algorithm. This step optimally selects pixels for data embedding, creating a steganographic image that is virtually indistinguishable from the original. The novelty of our work lies in the seamless integration of these two advanced steganographic techniques, which significantly elevates the security and invisibility aspects beyond the current state-of-the-art methods in digital steganography. For validation, we utilized a pretrained MobileNet model to differentiate between original and stego images. This model plays a crucial role in demonstrating the indetectability of our method, achieving an impressive accuracy of 85% in distinguishing stego images from their originals. Our rigorous testing across various metrics — including Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Bit Error Rate (BER), and Mean Squared Error (MSE) — showcases the effectiveness of our approach. The results indicate a robust performance, marking a significant advancement in secure digital communication. In this paper, we focus primarily on the detailed presentation of our results and the significant contributions of our current research, setting a strong foundation for future exploration in increasing robustness against steganalysis and improving the statistical invisibility of the steganography process. [ABSTRACT FROM AUTHOR]

The ever-growing threats in cybersecurity growing with the rapid development of quantum computing, necessitates the development of robust and quantum-resistant cryptographic systems. This paper introduces a novel cryptosystem, Public Key Cryptosystem based on Systematic Polar Encoding (PKC-SPE), based on the combination of systematic polar encoding and public-key cryptographic principles. The Systematic Polar Encoding (SPE), derived from the well-established field of polar codes, serves as the foundation for this proposed cryptographic scheme. Here, we have used MATLAB Software to introduce and implement the PKC-SPE Cryptosystem. The paper examines key generation, encryption, and decryption algorithms, providing insights into the adaptability and efficiency of systematic polar encoding in public-key cryptography. We assess the efficiency of the PKC-SPE Cryptosystem in three aspects: key size, computational complexity, and system implementation timings. In addition, we compare the PKC-SPE Cryptosystem with PKC-PC cryptosystem and find that it has reduced key sizes ( P r = 0.8436 kbytes). The results obtained through simulations validate the effectiveness of the proposed cryptosystem and highlighting its potential for integration into real-world communication systems. Thus, in the paradigm shift to quantum computing, the PKC-SPE cryptosystem emerges as a promising candidate to secure digital communication in the quantum computing era. [ABSTRACT FROM AUTHOR]

Digital financial inclusion and common prosperity are pivotal elements in promoting the sustainable socioeconomic development of China. This study introduces a novel Multi-Criteria Decision Analysis (MCDA) method to evaluate the Common Prosperity Index (CPI). Using this index, alongside the Digital Financial Inclusion Index (DFII) released by Peking University, it examines the evolution of the coupling coordination relationship between digital financial inclusion and common prosperity within the Yangtze River Delta (YRD) urban agglomeration from 2011 to 2021. By integrating gravity models and social network analysis, in this paper, we thoroughly investigate the spatiotemporal evolution characteristics of the spatial network of this coupling coordination relationship. The results indicate that both the DFII and CPI generally exhibit an upward trend, but the decline in the coupling degree reflects a weakened interaction strength between them. Specifically, Anhui significantly lags behind Jiangsu, Zhejiang, and Shanghai in the development of digital financial inclusion and common prosperity, indicating regional development imbalances. Furthermore, the strength of spatial connections in city coupling coordination has significantly increased, with Nanjing's siphon effect on cities in Anhui becoming markedly stronger, and the number of core cities in the network increasing, which demonstrates a geographical proximity feature in network development. Additionally, the overall network characteristics are transitioning towards higher density and "small-world" properties, suggesting a trend toward network stabilization. The disparity in centrality among cities has decreased, with an overall enhancement in centrality, where the spatial spillover effects from core areas such as Hangzhou-Ningbo, Nanjing-Changzhou, and Shanghai-Suzhou-Wuxi significantly promote the development of peripheral cities. Based on these findings, this paper proposes policy recommendations for the sustainable development of digital financial inclusion and common prosperity in the YRD region. [ABSTRACT FROM AUTHOR]

The paper purpose is to explore the feelings of exclusion and anger expressed on digital platforms by a community of women identifying within the Femcel subculture. The term "Femcel" is a portmanteau of "female" and "incel" (involuntary celibate), referred to women unable to obtain romantic or sexual relationships despite their desires and efforts. This sense of frustration, within the realm of digital communications, is heightened by the architecture of platforms, which reinforces and perpetuates existing power hierarchies, confining individuals within echo chambers. This paper analyses the most important online Femcel communities on Reddit, named "Vindicta", through digital ethnography facilitated by the NVivo software. The body of academic literature addressing women's distress to sexual inadequacy is insufficient; conversely, male Incels have garnered scholarly and journalistic attention for their lack of sexual capital. The study has underscored that despite Incel women being considered unattractive and "undesirable", they lament the lack of authorization to lay claim to an identity based on this state of abjection. This is due to the presumption that any woman could seduce a man if she really wanted to, consequently disregarding the recognition of the Femcel figure as a legitimate identity, in contrast to the treatment of male Incels. [ABSTRACT FROM AUTHOR]

Criticism as a result of an evaluation process is a common topic of everyday communication within the working environment. The research starts from the assumption that criticism significantly affects the self-perception of employees and it evokes negative emotions that in the end influence job satisfaction and motivation to perform work tasks. The paper presents the frame of a new concept of impact that the criticism has on employee motivation and the first results of the study prove that concept in particular. The main aim was to define whether criticism expressed inappropriately evokes more negative emotions. Hypotheses that focus on its correlation with gender, age, level of education and work status are discussed in the continuation of the paper. The research was conducted on 520 participants in Croatia. The results show a significant impact of the quality of communication on the perception of criticism and its significance in correlation with gender, while hypotheses that correlated evoking negative emotions when expressing criticism within the working environment with age, level of education and work status were rejected. The hypothesis about the correlation between expressing criticism inappropriately and the occurrence of demotivation was rejected. Implications for Central European audience: The working environment is recently focusing on the digital transformation of all processes and so communication as well. By this transformation, people become alienated and lose basic communication skills. This paper brings together the presentation of long-established communication starting points and the most modern thinking and research on the impact of communication on the motivation, satisfaction and productivity of employees. Based on this, but also with the presented results of the conducted research, it proposes a new communication concept of communicating negative messages that are an integral part of everyday business communication in the organization. [ABSTRACT FROM AUTHOR]

This paper addresses the scientific production of pharmaceutical communication in Spain around the COVID-19 crisis, in which information overload, amplified by the digital media, evidenced the relevance of communication in the digital society. The research observes the evolution and characteristics of such studies, identifying scientific fields and disciplines related to communication, thematic lines, agents and publics. To this end, it proposes an exploratory review study adjusted to the PRISMA protocol with a search strategy including three databases (Scopus, WOS and Dialnet) and whose filtration produced a final population of 56 publications on Spanish pharmaceutical communication between 2018 and 2022. The results point to a greater production of scientific papers around the year of the pandemic. These papers were published by university institutions in health sciences journals, although differences in authorship by gender were detected. Most of them are empirical papers, with a predominance of mixed content analyses. The field of public relations stands out, but terminological confusion was also detected. This leads to a reflection on its causes and solutions in favour of the transparency and accountability in pharmaceutical communication. [ABSTRACT FROM AUTHOR]

Rapport and rapport-building are fundamental building blocks of the sales process. As part of the approach in personal selling, as well as a relationship-building mechanism, rapport allows salespeople to facilitate customer engagement. This paper reviews and synthesizes articles over four decades of research on rapport and rapport-building within buyer-seller relationships to provide insight into the gaps in the current literature and provide an overarching conceptual model of where rapport research stands. This analysis of the research from theoretical and methodological perspectives identifies three major themes in the existing literature and offers five gaps where the literature should grow going forward. Building on these gaps, we identify an agenda for future research that extends knowledge in this domain, particularly as salespeople grapple with changing digital communications and relationship-building in virtual spaces with customers. [ABSTRACT FROM AUTHOR]

Digital notch filters are useful for removing sinusoidal signals with a single frequency or multi-frequencies. For some applications, the sinusoidal signals being processed may change frequencies, and thus the notch filter must also have a variable notch frequency. Such a digital filter with a variable notch-frequency (VNF) is called variable notch-frequency (VNF) digital filter. Generally speaking, a VNF filter has the ability to change its notch frequency continuously, and can remove sinusoidal signals with variable frequencies. To design a recursive VNF filter, guaranteeing its stability is the top-priority issue. In this paper, a recursive VNF filter is designed by utilizing the least Lp-norm criterion, and the stability is guaranteed through adopting the stability-guarantee methodology based on parameter transformations. To perform the parameter transformations, a function that meets a special condition is required, and such a function is called unity-bounded function. In this paper, various unity-bounded functions are developed for the parameter-transformation-based stability guarantee. The unity-bounded functions play a crucial role in the stability guarantee. This paper details how to design a stable VNF filter by incorporating the parameter transformations employing the unity-bounded functions into the Lp-norm minimization of the magnitude response. Theoretically, the stability of the recursive VNF filter resulting from the design is definitely guaranteed. Moreover, since the coefficients of the designed VNF are variable, changing the filter coefficients enables the user to get a VNF filter with updated notch frequency. [ABSTRACT FROM AUTHOR]

Security is one of the key elements of real-time communication systems, especially with the developments in digital communication systems. One of the most crucial networking activities that guards against hacking and unintentional consequences on connected devices is packet classification. The router's and other linked devices' sluggish processing speeds are a problem for implementing real-time packet classification. This paper proposes a novel parallel architecture for packet classification in routers. The design that has been suggested uses the parallelism that modern hardware technologies offer to categorize several packets at once to increase throughput, lower energy usage, and drastically lower latency. The suggested design supports multiple data reads by utilizing Dual Port RAM, or DPRAM. They have low latency performance and allow for fast rate packet lookup, making them the preferable choice for stage memory. The DPRAM provides the data to the packet scheduling module. The packets are received concurrently by the two subsequent packet splitter units. The throughput of packet classification increases as a result. In this paper, a parallel packet categorization architecture using FPGA is explored for maximizing throughput and maintain allowable latency while preserving low energy consumption. The classifier has the lowest energy efficiency of 7.2nJ and less latency of 58 ns. Its throughput may reach 668 MPPS (million packets per second). [ABSTRACT FROM AUTHOR]

The grid terminal deploys numerous types of communication equipment for the digital construction of the smart grid. Once communication equipment failure occurs, it might jeopardize the safety of the power grid. The massive amount of communication equipment leads to a dramatic increase in fault research and judgment data, making it difficult to locate fault information in equipment maintenance. Therefore, this paper designs a knowledge-graph-driven method for intelligent decision making on power communication equipment faults. The method consists of two parts: power knowledge extraction and user intent multi-feature learning recommendation. The power knowledge extraction model utilizes a multi-layer bidirectional encoder to capture the global features of the sentence and then characterizes the deep local semantics of the sentence through a convolutional pooling layer, which achieves the joint extraction and visual display of the fault entity relations. The user intent multi-feature learning recommendation model uses a graph convolutional neural network to aggregate the higher-order neighborhood information of faulty entities and then the cross-compression matrix to solve the feature interaction degree of the user and graph, which achieves accurate prediction of fault retrieval. The experimental results show that the method is optimal in knowledge extraction compared to classical models such as BERT-CRF, in which the F1 value reaches 81.7%, which can effectively extract fault knowledge. User intent multi-feature learning recommendation works best, with an F1 value of 87%. Compared with the classical models such as CKAN and KGCN, it is improved by 5%~11%, which can effectively solve the problem of insufficient mining of user retrieval intent. This method realizes accurate retrieval and personalized recommendation of fault information of electric power communication equipment. [ABSTRACT FROM AUTHOR]

These days, digital art has substantially improved painting art in China's new media period through modern technology and specialized software, which has generated various digital artworks with painting effects, demonstrating their aesthetic, commercial, and cultural worth. As a result, designers must actively investigate intelligently linked and content-diverse techniques to innovate and improve digital media art. This investigation will allow the extraction of pivotal role of digital media communication and drives visual art to new heights in the modern digitized era. Based on this motivation, this paper tries to analyze the application of new media digital technology in painting creation using big data. The major goal is to obtain insights into artists' behavior using behavioral habits and a morphological algorithm in digital painting. The study investigates the design process of digital painting by analyzing the habitual forms displayed by diverse painting user groups and integrating them with user experience design concepts. Two experimental methodologies are used to investigate painting user behavior: the interview method and the observation method. The observation approach collects comprehensive user behavior data to develop a habit form model that includes a both virtual and real activity. This model employs a hierarchical scheme emphasizing various behavior aspects and concepts throughout user interactions and painting system operations. The interview method, on the other hand, captures the psychological activities involved in user behavior decision-making. The study discovers and decomposes the traits specific to these characters by defining painted characters, developing their behavior sets, and making interactive decisions. The learned information and experience are then applied in interactive decision-making processes. Based on these findings, prototype development includes explicit and implicit interaction prototypes, with usability tests determining whether specific roles are included in the design. Throughout the study process, fuzzy mapping associations are built, and behavior mappings are labeled with varying relationship proportions, providing critical data for the habit form model's construction. The paper uses new digital media technology to create paintings and experiments with 50 randomly selected persons. Forty-four participants are well-known authors on major painting websites, with the remaining six being interviewed as professional painters. [ABSTRACT FROM AUTHOR]

Purpose: There is a scarcity of research studies on why people remain inactive when encountering and recognising misinformation online. The main aim of this paper is to provide a groundwork for future research into why users do not challenge misinformation on digital platforms by generating hypotheses through a synthesis of pertinent literature, including organisational behaviour, communication, human-computer interaction (HCI), psychology and education. Design/methodology/approach: Given the lack of directly related literature, this paper synthesised findings from relevant fields where the findings might be relevant, as the tendency to withhold opinions or feedback is a well-documented practice in offline interaction. Findings: Following the analysis of relevant literature, the potential reasons for online silence towards misinformation can be divided into six categories: self-oriented, relationship-oriented, others-oriented, content-oriented, individual characteristics and technical factors. Originality/value: Although corrections coming from peers can effectively combat misinformation, several studies showed that people in cyberspace do not take such action. To the best of the authors' knowledge, there has been scarce and virtually non-existent research investigating why people refrain from challenging others who post misinformation online. Thus, this paper attempts to address this gap and identify reasons in adjacent domains. The reasons provide a starting point for researching interventions to reduce reluctance and abstinence regarding the challenge of misinformation. The findings can be beneficial beyond the area of challenging misinformation and are extensible to other types of content and communication that people are hesitant to discuss and challenge, such as online injustice, prejudice and hate speech. [ABSTRACT FROM AUTHOR]