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This is a conceptual article that aims to propose the concept of sensory and emotional smart cultural tourism, whose main idea is to promote the use of digital technologies in an approach that makes them transparent in the tourist experience and that this experience is focused on the sensory and emotional experience, capable of triggering memorable sensory states, that is, unforgettable experiences. The proposal of sensory and emotional smart cultural tourism was conceived through an analytical-reflective literature review and proposes that the empirical approaches to be implemented from the concept take into account the co-design approach. Hence the essential triad (3P) - People, Places, Patrimony. The proposal presented by sensory and emotional smart cultural tourism aims to be a contribution to the process of innovation in the area of smart tourism. [ABSTRACT FROM AUTHOR]

With the continuous improvement of the level of modern science and technology, digital technology has also developed rapidly. And digital technology is widely used in the creation of sculpture art to make the sculpture works more three-dimensional, digitized and convenient. This paper will start from two aspects of the material and technology of sculpture art to discusses the transfer of the weight of the digital technology in the creation of contemporary sculpture. I hope that we can provide some references for future relevant researches on the application of digital technology in sculpture creation through this paper’s study. [ABSTRACT FROM AUTHOR]

This paper explores the application of artificial intelligence technology in ensuring the security of digital currencies. With the increasing popularity of digital currencies, ensuring their security has become a crucial concern. AI techniques, such as machine learning and deep learning, can be employed to identify and prevent security threats in digital currency systems. Additionally, it investigates how AI enhances security measures and risk control on digital currency trading platforms, offering insights into real-time risk alert systems. Therefore, through empirical research in four distinct sections, this paper continuously refines and revises the theoretical model proposed in this project. The ultimate goal is to provide new theoretical tools for the management of financial stability in the process of Digital Currency replacing M0. this project gives the research content of the four parts, which include public perception, delivery path, underlying technology and virtual currency bubble, we hope that this research can offer valuable insights to relevant field managers. [ABSTRACT FROM AUTHOR]

Machine vision is based on computer, through the comprehensive utilization of a series of advanced theoretical knowledge such as image acquisition equipment, digital processing technology and related algorithms. It can quickly and accurately extract the required features from the input data and describe them, which plays an important role in modern industrial production. Machine vision can intuitively express the image information that people are exposed to in a certain way, and process and process it accurately and quickly. This paper aims to use machine vision to quickly obtain spatial position, size and other data, combined with artificial intelligence genetic algorithm, particle swarm algorithm, intelligent plane optimization. This paper mainly uses the experimental simulation method and the comparison method to study the optimization method of the system layout, puts forward two improvement schemes of the storage system layout, and makes a comparative analysis of their space loss parameters. The experimental results show that in terms of total space loss, the value of improved scheme 1 is 0.741, which is higher than that of improved scheme 2. [ABSTRACT FROM AUTHOR]

The use of digital technologies in managing bowel conditions has been a topic of interest among healthcare practitioners. The objectives of this paper were to provide information about the types of digital technologies that have been used for bowel management and the context of the studies; identify the gaps and challenges in digital technologies for bowel management and propose new methods and techniques for the application of digital technologies in bowel management. A scoping review was conducted following the principles of Preferred Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). A search was conducted on six academic databases. 1891 papers were retrieved from the initial search; however, 6 papers were included based on the inclusion and exclusion criteria. The findings suggest that published work focused mainly on a research context and with a narrow focus targeting sub-categories of bowel conditions and not implemented in the context of everyday use. The findings also illustrate the variety of early-stage developments focused on increasing support for severe bowel dysfunction, for example, through biofeedback to aid muscle control training, or the placement of artificial anal sphincters to increase rectal perception. However, technology to support bowel management for broader populations with less severe or variable symptoms appears limited. Future work would be to conduct empirical research in the application of advanced technologies such as on-organ sensors in managing bowel conditions. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to develop a better understanding about the benefits that can be realized after implementing voice-based chatbot technologies in banks. Furthermore, this paper aims to investigate the challenges faced by organizations when implementing such technologies. This study followed a qualitative approach where semi-structured interviews were conducted with experts from mid to senior managerial levels working in a leading bank operating in Jordan and had implemented the voice-based chatbot technology. Implementing voice-based chatbot technology for the first time in a Jordanian bank has positively impacted the growth of the bank, increased customers satisfaction, and added a competitive advantage value to the bank. On the other side, different challenges faced the bank when it implemented this technology like issues related to security, compliance, integration, and infrastructure limitations. This paper can be considered in the foremost research conducted to investigate the implementation of AI-based chatbot in Jordanian banks. It demonstrated the benefits and challenges resulting from performing digital innovations introduced as innovative services in the banking sector that can inform the experience to other banks interested to implement such technologies. [ABSTRACT FROM AUTHOR]

In recent years, the use of Serious Games has become increasingly popular in the field of Digital Health. These games, which are designed to educate, inform, and engage users in various aspects of healthcare, have shown promising results in improving health outcomes and promoting healthy behaviours. Serious Games have shown particularly promising in the care of elderly populations. In fact, with the ageing of the global population, there is an increasing need for innovative solutions that can help older adults stay healthy, active, and independent. In this context, Serious Games have emerged as a valuable tool for promoting healthy ageing, preventing age-related diseases, reducing info-exclusion, and improving the quality of life of older adults. This paper explores the conceptualisation of a Serious Games model focused on the elderly population in a Digital Health environment. The model covers the identification and levels of eventual phase of disease allowing the definition of profiles for patients and non-patients; enables the recognition of the need for therapy and recognizes a set of characteristics like usability, accessibility and functionality considered by the state-of-the-art guidelines as essential in the definition of the Serious Games structure. The paper discusses the potential benefits and challenges of using a Serious Games model in this context. [ABSTRACT FROM AUTHOR]

Digital transformation is much needed in the healthcare sector to maximize the efficiency and productivity of human health. Adding technologies is an important addition to the continuity of growing the industry, and it is a promising opportunity for human care growth; This research conjectured that while healthcare is a vibrant and continuously evolving field, it becomes essential to present a detailed categorization for the main recent technologies used in the healthcare. To do this conceptual research, we reviewed a deal of existing research, about 31 research papers, that share common characteristics. The papers chosen for review are all written in English language, published in the last three years; From 2021 to 2023. And shown by Google Scholar, IEEE, PubMed and Emerald Insight. Our study presented a more unambiguous categorization. Existing literature showed three main categories, namely Preoperative; Intraoperative; And Post-operative. This research suggests adding a new one category related to Inorganic illness to address psychological and relaxation aspects, which need access to devices in each psychological state and relaxation; Preoperative; Intraoperative; And Post-operative. To conclude, technology has a great role in increasing efficiency and accuracy and reducing material and human losses. The medical sector seeks for more extended, and effective use of technology leverage the quality of life without suffering pain. This is certainly besides the economic prosperity of the medical infrastructure. [ABSTRACT FROM AUTHOR]

This paper presents a bibliometric analysis of digitalization and cybersecurity in Small and Medium Enterprises (SMEs), using the R tool Bibliometrix, with a total of 417 papers. First, our paper contributes to academia by showing that research on this topic is grouped into four clusters corresponding to four research lines: Industry 4.0 and Smart Factory; Industry 4.0 and SME; SME and Cybersecurity; Digitalization, SMEs, and Entrepreneurship. Second, our paper contributes to the literature by highlighting the existing gaps. We see that the digital transformation of SMEs entails increasing exposure to possible cyberattacks, which can be a determining factor for digitalization and, additionally, can affect the future of the SME business. In this context, we see that this gap has not been covered, as research lines have been found that focus on these issues but are unconnected. Regarding future research, we can predict that cybersecurity in SMEs will be a particular case of cybersecurity in firms, separated from research on digitalization in SMEs, which addresses issues such as smart factories and Industry 4.0 objectives in these enterprises. [ABSTRACT FROM AUTHOR]

This paper acknowledges the need for a user-centric solution that helps with emotional regulation and stress management in children with ADHD. The paper presents a unique and comprehensive solution that integrates Reinforcement Learning (RL) algorithms to enhance user experience and aid children with ADHD to regulate their emotions and behaviours through a reward-based system. Through careful analysis of existing literature, and user requirements assessment, a comprehensive framework that integrates machine learning algorithms, physical and digital solution components through a user-centric design approach has been proposed. The core objective is to design and develop a sensory regulation system specifically tailored to the requirements of children with ADHD. Through the development of an engaging and impactful sensory regulation system, children can experience social and academic aspects of school positively while also having the opportunity to expand their social circle through inclusive play environments and ultimately improving their daily experiences. This paper aims to address the imminent need for emotional regulation and stress management tools catering to children with ADHD. By incorporating Reinforcement Learning (RL) algorithms with a reward-based interaction, this paper aims to solve critical challenges faced by children with ADHD, like emotional regulation difficulties, stress management, poor social skills, and academic performance issues so that they can lead more holistic lives. [ABSTRACT FROM AUTHOR]

Fake news generation and propagation is a major challenge of the digital age, resulting in various social impacts namely bandwagon, validity, echo chamber effects, deceiving the public with spams, misinformation, malicious content and many more. The widespread proliferation of fake news not only fosters misinformation but also undermines the credibility of news sources. The veracity of the information is a major concern at all the stages of generation, publication, and propagation. To comprehend the critical need for addressing this pervasive problem, this research paper presents a framework for automatic detection of fake news using a knowledge-based approach. An automatic fact checking mechanism is applied using concepts of Information Retrieval (IR), Natural Language Processing (NLP) and Graph theory. The knowledge base is generated using Twitter dataset, which basically contains four attributes: Subject-Predicate-Object (SPO) triplet, SPO sentiment polarity, SPO occurrence, and topic modeling. These attributes serve as pivotal indicators for the development of a knowledge base, subsequently employed to detect prevalent patterns and traits linked to deceptive or false information. We have employed Named Entity Recognition (NER) model to extract SPO triples and Latent Dirichlet Allocation (LDA) for topic modeling, thereby contributing to knowledge base generation. To evaluate the efficacy and efficiency of our proposed model, we utilize deep learning algorithms like RNN, GRU, LSTM, GPT-3 and BERT Transformer providing an acceptable level of accuracy. This research paper delivers valuable insights into addressing the proliferation of fake news on Twitter, employing data-driven approaches and advanced deep learning algorithms. [ABSTRACT FROM AUTHOR]

The advent of artificial intelligence (AI) technology has ushered in an era of intelligent education, catalyzing profound changes in teaching methods and reshaping the roles of educators. This paper explores the intricate relationship between technology, education, and teachers by drawing upon relevant theories from the field of technological sociology, particularly the concept of "one skill for one person." It scrutinizes the evolving role of teachers in the context of artificial intelligence, delving into the mechanisms that underpin their functions in this rapidly evolving educational landscape. Through a historical examination of educational technology innovation, this paper delineates a three-tiered transformation in the relationship between artificial intelligence and university teachers, spanning from "technology exclusion" to "technology complementarity" and finally to "technology dependence." The paper used a mixed-methods strategy, combining qualitative and quantitative approaches. These phases illustrate the evolving synergy between human educators and AI, ultimately contributing to the modernization of the educational system and the enhancement of educational capabilities. This research sheds light on how the integration of AI can enhance the educational experience and empower educators, ensuring the continued advancement of education in the digital age. [ABSTRACT FROM AUTHOR]

This paper discusses the digital transformation journey of a small and medium enterprise (SME) based in the UK. With the proposed digital transformation archetype, the paper highlights the improvement in various key performance indices (KPIs) for the case SME. The core KPIs and operational KPIs show improvement through the technology adoption as part of the digital manufacturing initiative. While embracing technology, such as Industry 4.0, it is important to highlight the importance of the change and other benefits of technological changes. The paper uses socio-technological system principles to achieve a successful transition. An action research approach and a specific soft system thinking methodology known as Process-Oriented Holonic (PrOH) modeling were used in this paper. A digital twin architecture is presented in the paper that showcases the use of integrated technologies for a digital manufacturing roadmap. [ABSTRACT FROM AUTHOR]

Numerous research has for long studied the challenges and opportunities within digitalization of Small and Medium-sized Enterprises (SMEs). While SMEs are financially limited compared to larger organization, previous research has succeeded in identifying potential focus areas that allow SMEs to participate in the industrial progression. Among these, pragmatic research on exploitation of existing resources have been highlighted. Therefore, this paper intends to report the findings of a single case study in a Danish SME, where the objective is to understand how technological sub-factors influence the prototyping of digital initiatives for advancing maintenance activities. The study begins with mapping the maintenance activities, along with the IT infrastructure. From here, relevant data is analyzed to understand their shortcomings, where the most dominant relates to how technicians report service orders. The paper concludes by identifying two sets of three technological sub-factors that strongly influence the digitalization of the case company's maintenance activities. [ABSTRACT FROM AUTHOR]

Effective communication in food supply chains is increasingly important, especially in supply chains that strive to provide improved levels of information from producer to consumer. Such supply chains can be found in alternative food networks. Alternative food networks often adopt local and short supply chain strategies to provide embedded information between producers and consumers. Information in the supply chain of alternative food networks is communicated through face-to-face, proximate, or extended supply chain structures. The tools used to communicate information vary amongst the supply chains in alternative food networks; for example, face-to-face may adopt word-of-mouth, while proximate and extended supply chain structures may use labels, digital platforms, and websites. This paper uses Principal Component Analysis to provide an understanding of the categories and underlying dimensions of information communication tools in the supply chains of alternative food networks. A living lab approach and survey method were used for data collection. Using Principal Component Analysis, the data revealed two principal components of information communication tools, highlighting the use of on-packaging information communication tools such as packaging and labelling tools as a principal component. Another principal component was identified, backing a need for off-packaging information communication tools such as digital technologies, certificates, social media, and packaging technologies, enabling stakeholders who desire a further understanding of information regarding the processes and products. The paper concludes with the implications, limitations, and areas of future work. [ABSTRACT FROM AUTHOR]

In the global manufacturing sector, the ever-increasing digital transformation of Supply Chains (SCs) has become imperative, leading to building new digital and analytical capabilities to achieve SC competitiveness. However, building these new capabilities to integrate end-to-end Digital Supply Chains (DSCs) is a major challenge. There is a need to develop a SCM holistic view that facilitates the understanding of the fundamentals behind successful strategic alignment, information sharing, and collaborative decision-making across supply chains and networks. This paper examines key enabling digital and smart technologies transforming supply chains and networks through an explorative review of the scientific literature, identifying emerging DSC capabilities and technology adoption challenges that supply chains and networks face to achieve their digital transformation. Furthermore, this paper concludes that digital strategic alignment must be practised among DSC partners. The findings contribute to understanding how digital and analytical capabilities are built for DSC competitiveness – with implications for SCM theory and practice. [ABSTRACT FROM AUTHOR]

Supply chain (SC) conditions are becoming more challenging, and its systems are gaining more complexities over time. However, managing a complex SC depends on multiple variables related to the SC and its environment. In addition, digital technologies have shown potential to reshape the present understanding of SC management. In this regard, blockchain technology (BT) can help business models by enhancing transparency, improving traceability, reducing costs, minimizing risks, and bringing resiliency to the SC processes. This paper follows the Dynamic Capabilities View (DCV) theory as a theoretical lens to investigate the capabilities of the BT and its impact on supply chain resilience (SCR). The paper uses a PLS-SEM method for analyzing the collected data and drawing evidence from the manufacturing and assembling industries to demonstrate the technological benefits and potential of BT, as well as its capacity to drive SCR and enhance efficiency in business models. The findings of the paper show that the sensing, seizing, and transforming capabilities of the BT have a substantial effect on SCR (R2 adjusted= 0.701). The obtained results from this study highlight the potential of adopting BT to help policymakers in their query to build SCR. [ABSTRACT FROM AUTHOR]

he literature on Lean Manufacturing has predominantly emphasized mass production and batch systems, leaving a considerable knowledge gap regarding the challenges and considerations specific to implementing Lean principles in Engineer-to-Order (ETO) manufacturing contexts. This paper addresses this gap by exploring the interaction between Project Cost Deployment (PCD), a tailored method for ETO environments, and the digital technologies of Industry 4.0. The research aims to identify the synergies between Lean Manufacturing and Industry 4.0, investigating how their integration can enhance productivity, quality, and competitiveness in the manufacturing industry. While Lean Manufacturing is adept at addressing loss reduction and elimination across various industrial contexts, Industry 4.0 leverages digital technologies to revolutionize manufacturing operations and enable more efficient and intelligent production systems. The paper demonstrates the effectiveness of the PCD method through an industrial application involving an international company specializing in customized paper converting machinery and lines. By utilizing PCD in conjunction with Industry 4.0 technologies, analysts were able to uncover hidden losses and quantify them from an economic perspective, while also evaluating the potential impacts of improvement activities. The results highlight the significance of synergizing Lean Manufacturing and Industry 4.0 for ETO environments, offering valuable insights into how digital technologies can be effectively integrated into Lean principles. [ABSTRACT FROM AUTHOR]

This paper explores the concept of "Clip Thinking" in the context of the digital age and investigates whether it is a complimentary or contradictory approach. Clip Thinking refers to the tendency of individuals to consume information and ideas in short, fragmented, and easily digestible formats, often facilitated by social media platforms and digital technologies. While Clip Thinking offers benefits such as quick access to diverse perspectives and efficient information processing, it also raises concerns about shallow engagement, echo chambers, and reduced critical thinking skills. This study employs a mixed-methods approach, combining qualitative interviews and quantitative surveys, to gather insights from participants representing different age groups, educational backgrounds, and digital media consumption habits. The qualitative interviews delve into participants' motivations, habits, and experiences related to Clip Thinking, providing an in-depth understanding of the phenomenon. The quantitative surveys measure participants' information consumption patterns, cognitive abilities, and attitudes towards Clip Thinking. On one hand, participants appreciate the convenience and accessibility offered by short, clipped content. They find it easier to navigate the overwhelming information landscape, rapidly browse topics of interest, and connect with a broader range of ideas. On the other hand, concerns emerge regarding the potential for information overload, reduced attention spans, and a lack of depth in understanding complex issues. Participants express worries about the erosion of critical thinking skills and the creation of filter bubbles that reinforce pre-existing beliefs. By analyzing the data collected, this paper aims to provide a nuanced understanding of the impacts of Clip Thinking on individuals' cognitive processes, decision-making abilities, and overall information consumption habits. The study's conclusions will inform educators, policymakers, and media platforms about the challenges and opportunities associated with promoting a balanced information ecosystem in the digital age. [ABSTRACT FROM AUTHOR]

This paper primarily addresses the work requirements of a certain hydroelectric dam and explores a method for constructing an intelligent assistance system for maintenance in hydroelectric stations. The dam boasts a diverse array of equipment and is situated in a region characterized by complex terrain and structures, posing significant challenges to maintenance work across various disciplines. This study aims to integrate emerging technologies such as big data computation, data analysis, and knowledge graphs, alongside cutting-edge human-computer interaction theories. It seeks to develop advanced theories of maintenance assistance for hydroelectric stations, focusing on the intelligent decision-making and guidance in maintenance operations using digital technology. By achieving digitization and intelligence in maintenance management and workflow processes, this research endeavors to provide participants at every stage of maintenance operations with safe, efficient, and reliable support capabilities. Ultimately, it aims to elevate the level of digitization and intelligence in maintenance operations at hydroelectric stations to unprecedented heights, thereby enhancing the management efficiency of maintenance operations and further improving quality and efficiency. [ABSTRACT FROM AUTHOR]

With the rapid development of information technology, human resource file management is gradually moving towards digital transformation. Digital management is an important part of enterprise archives construction. The application of digital technology to gather information and build a complete human resource archive analysis database can effectively promote the informatization level of enterprise archives, improve work efficiency, and provide strong support for enterprise development and decision-making. However, digital transformation also brings a series of challenges, such as network information security, data sharing, and technical standards, which need to be addressed. This paper aims to explore the significance, and point out the existing problems, put forward management optimization measures in enterprise archives management under the background of information technology through literature research, to provide some theoretical and practical references for the digital transformation of enterprise human resources archives. [ABSTRACT FROM AUTHOR]

There currently exists a need for a platform that provides users with the ability to perform extensive, repeatable and meaningful simulation and testing for the hardware and software which compose vehicle/autonomous vehicle systems whilst being broadly accessible, widely supported and provides robust features and development tools. The contemporary implementations of similar systems are either financially exorbitant or highly contained. The system reflected in this paper aims to fill a gap in the industry of vehicle/autonomous vehicle development by extending on currently existing open-source software to provide a highly streamlined platform to support the production of general road vehicle and autonomous vehicle driving systems. The software tools and hardware components chosen for the system will be discussed, followed by the features constructed throughout the development process. The end result of the system is a platform that allows for quick, repeatable, accurate, and nearly endless testing of a digital twin of real life vehicles. This system will allow users to gain valuable simulation and testing data of hardware and software components in a manner which is not always feasible using the traditional methods of autonomous vehicle testing. [ABSTRACT FROM AUTHOR]

In the digital age, organizations confront the challenge of managing diverse documents efficiently while ensuring security, accuracy, and accessibility. Conventional document management approaches often must catch up, leading to inefficiencies and increased costs. This paper introduces the Intelligent Document Management System (IDMS), which employs advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Optical Character Recognition (OCR) to enhance document workflows. This research extends the capabilities of IDMS to encompass the extraction and processing of data from three important document types: medical bills, Aadhar cards, and PAN cards. The research and development efforts done in this paper have concentrated on seamlessly integrating of these models into the IDMS framework, offering a comprehensive solution for extracting and processing data from various document types. In this paper, two approaches, namely Easy OCR and a hybrid approach of combining NLP (Regular Expression) and CV (OCR) have been applied and compared. The results revealed that the proposed hybrid approach (NLPCV) is better, with higher accuracy of 97%,71 %, and 78% for hospital invoices, Aadhar cards, and PAN cards, respectively. [ABSTRACT FROM AUTHOR]

The main objective of the paper is to present the functional as well as resource structure (concerns aggregated digitised eco-innovations) of the digital collaboration platform called Digital Collaboration Tool (DCT), which is a common platform for the transfer of heterogenous eco-innovations of the partners of the network consortium ECOLABNET, co-created by the research and development units and intermediary organisations of the Baltic Sea countries. The underlying objective of the research was to identify and analyse eco-innovative services and visualize them in the context of accelerated increase of users in the analysed period. The research was based on the survey conducted on the group of SMEs in the partner countries of the project consortium. The conducted survey provided data on the needs and barriers of the investigated group of enterprises with regard to eco-innovative activities. Based on the data, the authors have summarized in the paper packages of eco-innovative products and services for SMEs and presented the logical and functional structure of the tool for acquisition and dissemination of knowledge on heterogeneous eco-innovations. The measurable value of the paper is statistical data pertaining to the interests in the eco-innovative offer of the developed platform. [ABSTRACT FROM AUTHOR]

The concept of modernizing outdated systems in critical infrastructure through digital transformation has been a widely discussed topic nowadays. Following the transition of energy systems, the attention has now shifted towards digitalizing the water distribution systems. These systems are large-scale but outdated systems that frequently encounter various issues and upgrading them would enable easier to identify issues and provide smoother, more efficient service. However, this process requires cautious planning and guidance to ensure that the generated data is reliable, and the system remains operational during the transition. Hence, the primary objective of this paper is to propose a formal model based on ternary relational semantics that can guide the digital transformation of water distribution networks. The proposed model provides a flexible transformation process while making the system generate reliable data. Additionally, this paper demonstrates the application of the proposed model by developing a proof of concept based on a real-world scenario. [ABSTRACT FROM AUTHOR]

In the modern digital world, the use of animated applications has increased significantly and such applications have quietly become an integral part of life. Capturing human motions is a fundamental aspect of these applications which is performed by motion-capturing (MoCap) systems. Due to the heterogeneity of MoCap systems and marker configurations, the captured skeletons may vary in their structure, number of joints, and bone lengths. The need for motion retargeting arises to transfer motion captured from one articulated actor to another. Although motion retargeting is a long-standing issue, current methods cannot automatically execute retargeting between skeletons. This paper presents the retraining of a popular motion retargeting network with a new large-scale motion dataset. The retraining aims to demonstrate the capabilities of the motion retargeting network to handle the problem of motion retargeting between skeletons that may have different structures. The paper first, presents the motion retargeting network that employs an encoder-decoder architecture. Afterward, we re-train the motion retargeting network with a new MoCap dataset. To validate the effectiveness of the network, we visually compare the generated results with the existing retargeting model. The results show that the motion retargeting network effectively retargets the different motions. [ABSTRACT FROM AUTHOR]

In this paper, we mean by digital health passport a digital passport or immunity passport that stores information about an individual's personal data, health status, travel history, health conditions, and medical and drug records. The proposed innovative scheme can ease travel, ensure free movement, and minimize economic damages. However, protecting personal and digital health passport information during a crisis is challenging. Therefore, this paper aims to propose an agent-based secure decentralized innovative digital health passport protocol that is interoperable, fault-tolerant, and compatible with privacy standards. The proposed solution is known as Secure Mobile Digital Passport Agent (SMDPA), uses: (1) Private Set Intersection (PSI) to (a) protect Digital Health Passport Information (DHPA) against surveillance, especially during the crisis, (b) generate Bit Passing Coin (BPC); (2) blockchain to store serialized SMDPAs copies (3) mobile agent to disseminate DHPA autonomously; (4) Location and time attributes for data minimization. We prototype the proposed solution using the JADE agent framework. The performance measurements show that the result is acceptable. [ABSTRACT FROM AUTHOR]

Despite the rapid development of China's digital economy and many studies involving the development of digital economy, there is no unified standard on the measurement of digital economy, and the existing accounting methods all have certain shortcomings. In view of this, this paper constructs a set of accounting system to measure the scale of digital economy industry, from the perspective of digital industrialization and industrial digitization, based on input-output tables. We separate digital economy from traditional industries by splitting and merging IO tables using data such as the Economic Census Yearbook and SAT to calculate the scale of digital economy industry. In this paper, data from Beijing, Tianjin and Hebei provinces in 2017 were used as an example for the calculation. The accounting results show that there is still a large gap in digital economy industry development between Beijing, Tianjin and Hebei, with the total digital economy industry scale, industry digitization scale, digital industrialization scale and the proportion of digital economy value added to GDP in Beijing being much higher than those in Hebei and Tianjin. In addition, due to the characteristics of the respective industrial structures in Beijing, Tianjin and Hebei, the percentages of the four major categories in digital industrialization also show different performance. The share of digital technology application industry in Beijing is much higher than that in Tianjin and Hebei, while the share of digital product manufacturing in Hebei and Tianjin is high. [ABSTRACT FROM AUTHOR]

Online collaboration growing significantly in the development of open-source hardware and software has led to a surge of research interest. However, no comprehensive bibliometric review has investigated the management of digital communities in these ecosystems. In this study, academic contributions to the field of online community management in open-source hardware and software were mapped, highlighting influential research streams and trends. A bibliometric review was conducted based on a keyword search analysis of research databases (IEEExplore, Scopus, ScienceDirect, Web of Science), with a sample comprising an overall 399 papers. The study identifies the most impactful articles in the field, maps the diverse streams of research on online collaboration and community management, visualizes focus areas and trends, and pinpoints areas for further investigation. These findings will support future research within this rapidly evolving domain. [ABSTRACT FROM AUTHOR]

Business Process Management (BPM) and Digital Transformation (DT) are two interconnected concepts. BPM involves identifying, analyzing, and improving business processes, while Digital Transformation leverages digital technologies to transform business operations. BPM provides the foundation for digital transformation by optimizing processes, and digital technologies enhance BPM by providing data, analytics, and automation tools. Together, BPM and digital transformation enhance business operations and lead to better customer experiences and increased profitability. Ultimately, the integration of BPM and digital transformation is a strategic imperative for organizations seeking to thrive in today's digitally driven landscape. A new approach combining BPM and DT named DT4BPM is proposed in this paper. DT4BPM takes advantage from both approaches and will have a lifecycle which includes in the proper way phases and sub-phases that were obtained through a positioning of each of the lifecycles of BPM and DT. [ABSTRACT FROM AUTHOR]

Ecosystems are nowadays a dominant organizational form in the digital age. But this construct lacks consensus on its empirical scope, its key theoretical features and its theoretical roots. The paper proposes an integrative framework as well as a method and a tool for calculating an ecosystem based on simplicial complexes and the HYPE platform. It concludes that a data-driven and visualization approach is needed to the study of the dynamic, emergent and adaptive dimensions of today's platform-based ecosystems. [ABSTRACT FROM AUTHOR]

Information technology infrastructure (ITI) has gone through an exponential change due to the rapid evolution of digital technologies during the past few years. It is therefore relevant to identify the factors that push organizations towards the adoption of new technologies. This paper considers a specific case study of the higher education institutions (HEI) to present (i) the motivational factors that push HEIs toward the adoption of new technologies, and (ii) the key challenges HEIs face in the adoption of these technologies. The data was gathered after conducting 17 open-ended interviews with practitioners working at HEIs in Finland and Pakistan. Data analysis identified 10 motivational factors and 41 challenges faced by HEI in the adoption of the latest technologies. Furthermore, the data was further classified to identify broad themes and categories representing the challenges and motivation factors. [ABSTRACT FROM AUTHOR]

As the digital and physical worlds connect, machine-learning tools are increasingly being used by businesses and institutions, including archaeological research institutes and museums. The article presents research that, based on the evolution of human scripts, provides a tool for identifying script variants used in old manuscripts and stone inscriptions. This makes the work of paleography institutes and individual researchers more efficient. Using this research, it is possible to provide some information about millions of hitherto unidentified inscriptions using machine learning. The developed and tested method applies the biological phylogenetics tool to script evolution, an area that has yet to be investigated with machine learning tools. The final aim of the research is to use these tools to clarify the connections between many Arabic, Aramaic and Central Iranian script variants. The described procedure gives a new solution to one of the fundamental issues of phylogenetic analysis, feature selection, the effectiveness of which is verified with test runs. The paper presents a new feature selection method to identify the strength or effect of features before phylogenetic processing. This type of dimensionality reduction removes unnecessary features from the dataset for these analyses and interpretations. The method was applied to some versions of Arabic, Aramaic and Middle Iranian scripts, but the procedure is not script-specific. [ABSTRACT FROM AUTHOR]

The SmartEUS project aims to design, develop, and test a highly innovative model for the provision of Emergency Urgency Services (EUS) based on the concept of clinical pathway (i.e., the entire emergency care chain). The project is innovative both from an organizational and technological point of view. It is based on an e-Health approach, capable of exploiting new digital technologies in a coordinated way to support the evolution of emergency health systems towards dynamic and safer processes. The paper presents the SmartEUS platform which can integrate the information from all the key players in medical emergency response (emergency operation center, emergency medical service, hospital emergency department) improving their coordination. The most relevant innovations of the proposed solution are data integration and interoperability, advanced communication and collaboration, knowledge-based resource allocation, telemedicine integration to support decision making in dispatching and resource assignment. In fact, a Decision Support System is integrated into SmartEUS cloud platform to suggest to the emergency operation center which emergency medical service and hospital emergency department. In fact, information on the patient status can include results from ambulance's on board telediagnosis equipment, alerting the hospital emergency department even before the arrive of the patient, thus guaranteeing the appropriateness of care according to patient needs (e.g., patient pre-triage index, potential pre-hospital diagnosis) and reducing emergency department overcrowding and resources saturation. [ABSTRACT FROM AUTHOR]

Digital Transformation (DT) is considered one of the bases for the creation of new business models and the definition of new strategies in organizations, so, a paradigm shift in the way organizations operate and how they relate to their customers in this digital age. Today it is essential to digitalize the processes inherent to organizations, especially those directly linked to the customer, as they increasingly seek digital means to meet their needs. To do so, organizations must invest, for instance, in the integration of interactive digital channels capable of responding to the needs related to the above-mentioned new strategies. Generally, DT promises to make structural and strategic changes in organizations, where technology plays a key role, becoming the most powerful ally of individuals and organizations. However, in general, DT is not exclusively linked to technology, but to new ways of thinking and acting, so a change in the organizational environment is required. Currently, in the insurance industry, DT is been applied to enforce organizational changes and improvements in different areas of the organization. This paper is research regarding the integration of DT in organizational processes, based on a case-studies related to Insurance Companies (ICs), with the purpose to highlight the main advantages of "cultural renewals" in organizations and the use of technologies, namely the use of dynamic digital channels, capable to meet the needs of customers and organizations. [ABSTRACT FROM AUTHOR]

The delivery of concrete is a crucial process in construction projects, and any delay or error can cause significant setbacks and added costs. Thus, effective real-time management of concrete delivery is essential to ensure timely and successful project completion. In this paper, we will discuss a practical and manufacturer-agnostic approach to real-time management of concrete delivery for construction named BET 4.0 that is being conceived with a close partnership with a construction company. This application provides the possibility to optimize the whole concreting process as it establishes the connection between all the relevant components and stakeholders involved in the construction process, namely the concrete plant, the transport, and the construction site, interfacing with all actors involved, and benefiting from real-time data produced by installed sensors in the several components such as machines, plants, or construction elements. [ABSTRACT FROM AUTHOR]

The digital dimension is a possible gateway to improving issues linked to physical ones. By providing constant connection without limiting external factors such as location, time, or culture, online communities can fulfil motivational necessities and enhance accountability. However, despite the evident potential of digital platforms, there is little literature when it comes to exploring user engagement and specific considerations to have in account when establishing online communities. This paper contains an all-encompassing yet narrow literature review of the definition of online communities, the complexity of user engagement, examples of real online communities to promote physical activity and considerations when establishing online communities. [ABSTRACT FROM AUTHOR]

Digital transformation necessitates the creation of business value or innovation using digital technology in every industry. Enterprises are facing an unprecedented business environment and competition for resources and market, which forces them to be more adaptive. Consequently, their Enterprise Information Systems must also be adaptive as so for Architecture Development Method. As a result, enterprises turn to adopt Agile and Lean approaches at scale, which requires architecture iteration and refactoring, or evolvability. In this paper, we propose a loosely-coupled, process-based enterprise architecture development method- Unicage – which aligns with Agile and Lean principles, complementing them with concrete technology architecture. The proposing Architecture Development Method especially fits for Enterprise Resource Planning systems. [ABSTRACT FROM AUTHOR]

Modern ransomware implement innovative techniques and tactics to bypass existing security measures. Hence, predicting and forecasting such kind of malware is crucial for enhancing the overall cybersecurity posture in an increasingly digital and interconnected world. In this paper, we propose a proactive approach for predicting ransomware attacks. We integrated a dynamic deep learning algorithm for analyzing memory-based features. This allows us to detect the existence of ransomware indicators regardless of the usage of obfuscation techniques, such as code encryption. Thus, offering advantages in terms of obfuscation resistance, realtime insights threat analysis and adaptability to evolving ransomware threats landscape. Experimental results using recent datasets demonstrate the effectiveness of the proposed approach in identifying modern ransomware samples with a weighted average of 99.98%, 99.96%, 100%, and 99.98% for accuracy, precision, recall and fl-score respectively. [ABSTRACT FROM AUTHOR]

This research leverages the potential of digital twin technology to present a novel method of predictive maintenance for 6G communication networks. With the increasing need for 6G networks to be consistently reliable and always available, this essay emphasises the need for more advanced maintenance techniques. The seamless integration of digital twin technology makes it possible to monitor, analyse, and simulate the 6G network in real time. This innovation makes it easier to use artificial intelligence to fine-tune maintenance schedules and anticipate maintenance requirements in advance. The paper fervently promotes the use of digital twin technology as a vital instrument for raising the bar for maintenance requirements in the context of 6G networks. [ABSTRACT FROM AUTHOR]

Digital Twins allow for designing, operating, and optimizing running systems by replicating the operations of the physical components in a digital environment. Interconnectivity between Digital Twin models and corresponding real-world counterparts facilitates continuous examining of the actual system, resulting in nearly real-time analysis and decision-making support. Validation is an integral part of Digital Twins as underlying models must accurately reflect the corresponding physical systems according to predefined objectives. The near real-time nature of Digital Twins demands a continuous validation process to ensure models' accuracy. Labor-intensive manufacturing, where humans are at the heart of manufacturing processes, is a sector that encompasses a wide range of industries, from toys and apparel to medical devices and automotive components. This sector continues to play a vital role in emerging economies, offering employment opportunities that mitigate poverty and enhance social stability. Enabling Digital Twins for labor-intensive manufacturing systems opens many opportunities towards humancentricity and improvement of well-being of human operators. In these systems, however, human data must also be considered for Digital Twin development and the corresponding validation processes. Handling human data further complicates the creation and validation of Digital Twins. To the best of our knowledge, there has not been a comprehensive study on the validation of Digital Twins in labor-intensive manufacturing. In this paper, we review Digital Twin validation in manufacturing, focusing on systems that feature data from human operations. As a result, we outline the current challenges of validation of Digital Twins in labor-intensive manufacturing environments and suggest future research directions. [ABSTRACT FROM AUTHOR]

In the digital era, recommender systems (RS) have become an integral part of our daily interactions, exerting a significant impact on users and society. However, this also raises ethical challenges related to RS that should be considered. Addressing these challenges requires the application of explainable artificial intelligence (XAI) models to make RS more understandable. Based on the current state-of-the-art literature, this paper aims to provide a comprehensive overview of XAI for RS and its ethical implications, with the aim of proposing a research agenda for ethical RS based on XAI. The findings of the literature review show that neural network-based RS have received much attention in terms of offering explanations, while there is a research gap in explaining context-based RS and in evaluating explanations. In addition, a set of ethical challenges for RS are discussed by exploring how explanations for recommendations can contribute to the ethical use of RS. [ABSTRACT FROM AUTHOR]

This paper examines the existing field of digital innovation publications in management and business journals. Due to the exponential growth of digital technology adoptions in companies, much attention has been given to the new phenomenon of digital innovation. Prior literature reviews have attempted to explore the phenomenon but they seem to lack objectivity and are limited in scope. By applying three bibliometric techniques – co-citation, co-occurrence, and bibliographic coupling analysis – we provide a holistic overview of the digital innovation publications. We employ 354 primary documents, identify three foundational themes from which digital innovation draws on, and seven emerging topics. We conclude with recommendations for future research in the field of innovation management. [ABSTRACT FROM AUTHOR]

Big data and its analysis are crucial for other applications like the Internet of Things (IoT), data mining, cloud computing, etc. The volume of data is expanding along with the internet and other digital technologies. Traditional systems, however, cannot process this volume of data. Analyzing this much data will take a lot of work. However, there are several difficulties in assuring data security and privacy, such as safeguarding against data leakage and security breaches, flaws in open databases, and third-party data sharing, among others. This paper's goal is to analyze the benefits of blockchain in big data as well as its drawbacks and identify potential future approaches. [ABSTRACT FROM AUTHOR]

This paper describes the path of approach, knowledge and development of awareness relating to digitisation and digitalisation processes identifiable as the cultural heritage (CH) of digital transformation (DT). The state-of-the-art contemporary cultural scenario is outlined uninterruptedly, constantly comparing academic reality and the cultural and creative sectors. Pros and cons are analysed to outline good practices for the innovative production of digital cultural artefacts and proposals. Finally, two suggestions concerning digital education and the creation of user-centred digital products are briefly described as services of a newborn start-up CRHACK LAB Bari - Officine di Cultura Digitale providing, representing the end of three years of PhD research. [ABSTRACT FROM AUTHOR]

The spread of false information in the digital age has led to serious threats about the veracity and dependability of information traded online. Fake news can exacerbate social and political divisions, as it often targets specific groups or promotes divisive narratives. This paper sheds light on the pioneering venture into the field of fake news detection in Assamese, filling a significant research gap that had previously remained unaddressed. A comprehensive dataset of 6,000 news articles was meticulously collected to aid with the proposed research. The dataset contains 3,000 true news items and an equal number of fraudulent news stories. A fake news detection system for the Assamese language was created in this work using Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (Bi-LSTM) models. The accuracy of the Bi-LSTM model was 94.17%, compared to the LSTM model's 93.50%. This research establishes a foundational framework for fake news detection in Assamese. The findings demonstrate the potential of LSTM and Bi-LSTM models for effectively preventing the propagation of fake news in the Assamese language and improving the accuracy and reliability of information in the digital sphere. [ABSTRACT FROM AUTHOR]

In the current digital era, organizations face enormous difficulties in efficiently managing and utilizing the power of documents due to the exponential growth of information. In this research, a novel Intelligent Document Management System (IDMS) is proposed by digitizing healthcare claim settlement documents like medical bills, discharge summaries, clinical reports, doctor's prescriptions, etc. The existing documentation process is very time- consuming and cumbersome for the patient and his family during the treatment of the patient at the hospital. Moreover, it becomes even more challenging when a patient is going to be discharged from the hospital and has to wait for clearance to avail of the cashless claim facility. The scope of the paper is limited to the digitization of three types of documents namely Adhaar Card, Pan Card, and hospital invoice. The proposed method is used to extract the textual information in the form of a JSON/CSV file format, which can be used in an Intelligent Document Management System (IDMS) for Health Care insurance claim settlement. The findings show an accuracy of 94.09% is achieved for the hospital invoice using AWS services whereas the performance of the proposed system using heuristic approach for Aadhar Card and PAN Card is 83.13% and 70.3% respectively. The integration of AI technologies and web services in the digitization of the document management process presents a significant role in the healthcare applications like medical insurance policies, claim settlement processes, etc. This study serves as a foundation for developing intelligent document management systems that streamline processes, improve accessibility, and optimize the utilization of valuable information in the healthcare domain. [ABSTRACT FROM AUTHOR]

Financial anomalies must be detected in order for financial institutions and regulatory bodies to manage risks and avoid fraudulent behavior. Financial anomaly detection is the practice of identifying unexpected or irregular financial transactions or patterns that may indicate fraudulent behavior or errors. It is crucial in today's digital era to prevent fraud, limit financial losses, and maintain secure financial systems. Various types of financial anomalies, such as credit card fraud, money laundering, financial statement fraud, and cryptocurrency fraud, pose significant risks to individuals and organizations. This review critically evaluates a selected research article on the use of blockchain technology in conjunction with data mining techniques to detect financial anomalies. The paper employs the case study method to demonstrate how well the suggested integrated system works in spotting financial anomalies. This review evaluates the article's methodology and conclusions and discusses its implications for practice. The report claims that merging data mining methods with blockchain technology can increase the precision and effectiveness of financial anomaly identification. This research advances knowledge about how block-chain technology and data mining techniques can be used to find financial abnormalities while also offering suggestions for further study and use. [ABSTRACT FROM AUTHOR]

The image-based automatic plant disease identification has emerged as a prominent research area, driven by recent advancements in machine learning algorithms. Conventional disease detection methods rely on manual feature extraction from acquired images, involving extensive expertise from experts and pathologists. This labor-intensive practice is often time-consuming and impractical. With the recent advancements in digital technologies and computer vision, Deep neural networks address these challenges by learning the features automatically. This paper focuses on the EfficientNet B0 architecture-based deep neural network model integrated with a convolutional block attention mechanism module for identifying major wheat crop diseases. The attention module in the EfficientNet B0 model improves its performance by emphasizing the disease-infected regions in leaf images. To evaluate the proposed methodology, experiments were conducted on the WheatRust21 image dataset, comprising 6556 images of three major fungal diseases, namely, stripe rust, leaf rust, and stem rust, collected in natural field conditions from 2019 to 2021. Our developed EfficientNet B0-CBAM model performed well with a testing accuracy of 98.70% and an impressive F1 score of 98% on the dataset. The Grad-CAM visualization demonstrates that the attention module focuses more on the infected region and plays a crucial role in wheat disease identification. The results are quantitatively substantial, with the model achieving high accuracy and other evaluation metrics scores with an average of 98.5 %. These findings hold promise for practical applications in agriculture and sustainable crop management. [ABSTRACT FROM AUTHOR]

Currently, we are confronted with the presence of two significant transformations. The emergence of technologies like artificial intelligence, the Internet of Things, social media, Industry 4.0, and Society 5.0 is significantly impacting the behavior of individuals, societies, and countries in the 21st century. The second transformation pertains to various critical issues such as climate change, desertification, food and water security, and the future of life on our planet. This paper aims to analyze the impact of emerging technologies on mitigating climate change. The central inquiry at hand is whether humanity possesses the ability to transform the ongoing digital revolution into effective climate action. Specifically, we will analyze the fundamental question. Do digital technologies and information management contribute to the problem or offer a solution? [ABSTRACT FROM AUTHOR]