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Identifying factors that associate with more cited or higher quality research may be useful to improve science or to support research evaluation. This article reviews evidence for the existence of such factors in article text and metadata. It also reviews studies attempting to estimate article quality or predict long‐term citation counts using statistical regression or machine learning for journal articles or conference papers. Although the primary focus is on document‐level evidence, the related task of estimating the average quality scores of entire departments from bibliometric information is also considered. The review lists a huge range of factors that associate with higher quality or more cited research in some contexts (fields, years, journals) but the strength and direction of association often depends on the set of papers examined, with little systematic pattern and rarely any cause‐and‐effect evidence. The strongest patterns found include the near universal usefulness of journal citation rates, author numbers, reference properties, and international collaboration in predicting (or associating with) higher citation counts, and the greater usefulness of citation‐related information for predicting article quality in the medical, health and physical sciences than in engineering, social sciences, arts, and humanities. [ABSTRACT FROM AUTHOR]

Value co‐creation as a research topic has been a critical proposition of interest to a wide range of disciplines. In recent years, the field of cultural heritage has also developed a range of information practices to promote different forms of value co‐creation. While the body of literature has begun to accumulate, we still lack a comprehensive understanding of conceptual foundations and how value co‐creation is implemented in cultural heritage information practices. This paper conducted a hermeneutic literature review to understand and conceptualize the core aspects of value co‐creation in various cultural heritage information works. In particular, this paper provides a research mapping of the genres of co‐creation in cultural heritage information practices, the actors, and the roles played by the stakeholders. Further, this review provides an overview of the dominant value co‐creation models in the cultural heritage field. It distills the drivers of value co‐creation and the core value consequences that arise from a process perspective. Finally, this paper puts forward a thematic, theoretical, and methodological agenda for future work based on these findings. The review contributes to the literature by proposing an integrated conceptual framework that summarizes the core elements of value co‐creation in cultural heritage information practices. The framework also serves as a call for action, providing a general understanding of the conceptual foundation for future research. [ABSTRACT FROM AUTHOR]

Data culture/s as a research topic has begun to attract attention from a wide range of disciplines, albeit with inconsistent application of definitions, dimensions, and applications. This work builds on a call to investigate data culture/s within the information studies domain as a topic related to, but distinct from, information culture. The purpose of this study is to explore what is known about data culture/s in greater depth. We apply a retroductive approach to select and consider likely dimensions, inputs, and aspects of data culture/s in order to further map this construct to the literature, and thereby highlight gaps and opportunities to add to this body of knowledge. The initial candidate dimensions explored below include data‐related skills and attitudes, data sharing, data use/reuse, data ethics and governance, and a specific focus on Indigenous perspectives to provide insights on why and how a group may contest the emergent dominant discourse of data culture/s. Our conclusion highlights areas needing further research to fully define and examine the dimensions, inputs, and aspects of data culture/s, and calls for greater understanding and engagement with data culture/s from the information studies community. [ABSTRACT FROM AUTHOR]

The article focuses on the ongoing transition from paper-based journalism to digital platforms, highlighting the continuous merger and acquisition activity in the newspaper industry. Topics include the allure of newspaper ownership, the impact of new ownership models on local newspapers, and the challenges faced by traditional printing and paper industries amidst the shift towards digital media.

This document is a summary of a special issue of the journal Sensors, titled "Emerging AI+X-Based Sensor and Networking Technologies including Selected Papers from ICGHIT 2022–2023." The special issue features selected papers from the 10th and 11th International Conferences on Green and Human Information Technology (ICGHITs), which were held in Korea and Thailand. The conferences focused on the theme of "Emerging Artificial Intelligent (AI)+X technology" and "Hyper Automation + Human AI" respectively. The selected papers cover various topics such as network security, routing protocols, signal detection, and clustering mechanisms, all incorporating AI-based methods. The issue also includes papers on topics like secure authentication, distance estimation in RFID systems, energy optimization in smart homes, blockchain technology, and radar signal detection. The authors emphasize the importance of both technology and humanity in advancing green and information technologies. [Extracted from the article]

Aim: To describe the co‐designing process of an online support programme with and for informal carers of people with heart failure. Design: A co‐design process built on core concepts and ideas embedded in co‐design methodology. Data sources: Our co‐design process included three phases involving 32 informal caregivers and 25 content creators; (1) Identification of topics and content through literature searches, focus group interviews and user group sessions; (2) Development of the online support programme and; (3) Refinement and finalization which included testing a paper prototype followed by testing the online version and testing and approval of the final version of the support programme. Outcomes: The co‐design process resulted in a support programme consisting of 15 different modules relevant to informal carers, delivered on a National Health Portal. Conclusion: Co‐design is an explorative process where researchers need to balance a range of potentially conflicting factors and to ensure that the end users are genuinely included in the process. Relevance to clinical practice: Emphasizing equal involvement of end users (e.g. carers or patients) in the design and development of healthcare interventions aligns with contemporary ideas of person‐centred care and provides a valuable learning opportunity for those involved. Furthermore, a co‐designed online support programme has the capacity to be both accessible and meet end users' information and support needs, thereby optimizing their self‐care abilities. Additionally, an online support programme provides the opportunity to address current challenges regarding scarce resources and the lack of healthcare personnel. Reporting methods: Consolidated criteria for reporting qualitative research (COREQ). Patient or public contribution: Both informal carers and content creators were involved in developing the support programme. [ABSTRACT FROM AUTHOR]

Exam period can be a stressful time for students, and having examples of past papers to help prepare for the tests can be extremely helpful. It is possible that past exams are already shared on your campus--by professors in their specific courses, via student unions or groups, or between individual students. In this article, we will go over the workflows and infrastructure to support the systematic collection, provision of access to, and repository management of past exam papers. We will discuss platform-agnostic considerations of opt-in versus opt-out submission, access restriction, discovery, retention schedules, and more. Finally, we will share the University of Toronto setup, including a dedicated instance of DSpace, batch metadata creation and ingest scripts, and our submission and retention workflows that take into account the varying needs of stakeholders across our three campuses. [ABSTRACT FROM AUTHOR]

Classifying papers according to the fields of knowledge is critical to clearly understand the dynamics of scientific (sub)fields, their leading questions, and trends. Most studies rely on journal categories defined by popular databases such as WoS or Scopus, but some experts find that those categories may not correctly map the existing subfields nor identify the subfield of a specific article. This study addresses the classification problem using data from each paper (Abstract, Title, Keywords, and the KeyWords Plus) and the help of experts to identify the existing subfields and journals exclusive of each subfield. These "exclusive journals" are critical to obtain, through a pattern detection procedure that uses machine learning techniques (from software NVivo), a list of the frequent terms that are specific to each subfield. With that list of terms and with the help of optimization procedures, we can identify to which subfield each paper most likely belongs. This study can contribute to support scientific policy‐makers, funding, and research institutions—via more accurate academic performance evaluations—, to support editors in their tasks to redefine the scopes of journals, and to support popular databases in their processes of refining categories. [ABSTRACT FROM AUTHOR]

Healthcare policies promote technology use as a means to modernise healthcare and support seamless, person-centred care. However, despite information technology (IT) use being common practice in clinical settings, its use in patients' homes is still developing. This study explored patients' perspectives on the use of IT and electronic health records (EHR) in their home environment. Semi structured interviews were conducted with housebound patients who received regular care from the district nursing team, and thematic data analysis was undertaken. Participants reported variable knowledge and experiences with mobile working and EHR. Most were positive and identified clear benefits for clinicians. However, few participants reported benefits to themselves. Contrary to popular belief, IT use is expected by older patients and, while barriers were identified, the overall opinion was positive. A digital divide was apparent, with some at risk of being disadvantaged by the increasing use of technology. [ABSTRACT FROM AUTHOR]

Digital heritage portal interfaces are generally similar to digital library and search engine interfaces in displaying search results as a list of brief metadata records. The knowledge organization and search result display of these systems are item-centric, with little support for identifying relationships between items. This paper proposes a knowledge graph system and visualization interface as a promising solution for digital heritage systems to support users in browsing related items, understanding the relationships between items, and synthesizing a narrative on an issue. The paper discusses design issues for the knowledge graph, graph database, and graph visualization, and offers recommendations based on the authors' experience in developing three knowledge graph systems for archive and digital humanities resources: the Zubir Said personal archive collection at the Nanyang Academy of Fine Arts, Singapore; Singapore Pioneers social network; and Polyglot Medicine knowledge graph of Asian traditional and herbal medicine. Lessons learned from a small user study are incorporated in the discussion. [ABSTRACT FROM AUTHOR]

In this advanced and forward-thinking era of science, data transmission is an extremely common practice. Up to this point, the majority of our data transfer has been accomplished through the use of Wi-Fi technology. But light itself is another option for us to employ as a source for the data transfer. The technique of exchanging data by the use of light is referred to as Li-Fi, which is short for "light Fidelity." The Visible Light serves as the channel of communication in the Li-Fi protocol. This is the newest technology that has been created in the field of data exchange in recent years. Additionally, this technology is in the process of being developed as a result of the increasing number of studies that are being conducted on this particular subject for the purpose of facilitating its improvement. From a scientific standpoint, this optical communication technology is now the most cutting-edge issue of discussion. Because Li-Fi uses VLC, which stands for visible light communication, the rate of data transfer is quite fast with this technology (VLC). In terms of the data transmission, it adheres to the standards established by the IEEE (Institute of Electrical and Electronics Engineers). In this study article, we will be pointing out some particular elements such as the characteristics, techniques, applications, pros and downsides, and comparison with ongoing related technologies such as Wi-Fi. [ABSTRACT FROM AUTHOR]

The goal of this position paper on ventilatory support at home for children is to provide expert consensus from Australia and New Zealand on optimal care for children requiring ventilatory support at home, both non-invasive and invasive. It was compiled by members of the Thoracic Society of Australia and New Zealand (TSANZ) and the Australasian Sleep Association (ASA). This document provides recommendations to support the development of improved services for Australian and New Zealand children who require long-term ventilatory support. Issues relevant to providers of equipment and areas of research need are highlighted. [ABSTRACT FROM AUTHOR]

This study analyzed top papers published in the field of Library and Information Science (LIS) published between 2009 and 2019 and included in the Web of Science (WoS) subject category "Information Science & Library Science". Data of the 501 top papers were extracted from the Essential Science Indicators (ESI) database comprising 499 highly cited papers and 16 hot papers in the field. The distributions of document type, language of publication, scientific output, and publication of journals are reported in this paper. The co-authorship network visualization of authors, organizations and countries, co-occurrence network visualization of all keywords are visualized using VOSviewer software. The 501 papers, all written in English language, were from 1,579 authors employed at 680 organizations based in 59 countries/territories. The papers were published in 40 journals in the field. The top 5 core journals ranked based on the impact factor (IF) were MIS Quarterly, Journal of the American Medical Informatics Association, International Journal of Information Management, Journal of the Association for Information Science and Technology, and Information Management. The top 5 organizations were University of Maryland (USA), University of Wolverhampton (UK), Vanderbilt University (USA), Indiana University (USA), and Wuhan University (China). Authors from the following countries contributed the most - USA, People's Republic of China, England, Canada and Netherlands. Based on network map using VOSviewer, there were micro, meso and macro level collaborations based on common interests in a specific topics. Analysis of all keywords showed that the research were distributed into 6 clusters. This study concludes that one important characteristic of top papers is the journal reputation, therefore authors can choose their ideal journal with a high JIF and quartile to publish papers in the English language related to this research field. [ABSTRACT FROM AUTHOR]

This paper focuses on the opportunities and challenges associated with the use of artificial intelligence (AI) in academic library operations. In the quest to render fast, effective and efficient services, academic libraries have adopted different technologies in the past. Artificial intelligence technologies is the latest among the technologies currently being introduced in libraries. The technology which is considered an intelligent system, come in the form of robots and expert systems which have natural language processing, machine learning and pattern recognition capabilities. This paper examined the features of AI, the application of AI to library operations, examples of academic libraries with AI technologies in Sub-Saharan Africa, the need for AI in libraries and the challenges associated with the adoption of AI in libraries. The study concluded that AI holds a lot of prospects for the improvement of information services delivery in African academic libraries. Consequently, its adoption is a sinequanon to delivering robust library services in the Fourth Industrial Revolution (4IR). [ABSTRACT FROM AUTHOR]

The Miami University Libraries (MUL) developed an open-source Software Checkout system to allow patrons to make use of software licenses owned by the library. The system takes advantage of user-based licensing under the Software as a Service (SaaS) license model and vendor-created APIs to easily and legally assign access to users. The service currently supports Adobe Creative Cloud, Final Cut Pro, and Logic Pro software. MUL has successfully used this software for three years. This article describes the expansion of offerings and the increasing use of the service over that time. Built on a model developed by Pixar for managing employee software licenses, the Software Checkout system is believed to be the first of its kind for circulating licenses to library patrons. Both this lending model and the open-source software developed by MUL are available to other libraries. This paper is intended to prompt libraries to take advantage of the legal and technical environment to expand software license sharing to other libraries. [ABSTRACT FROM AUTHOR]

The study analyses papers published in DESIDOC Journal of Library and Information Technology (DJLIT) using bibliometric techniques for the period of 1992-2019 (28 years) and citations received by these papers until 20th March 2020 as reflected by Google Scholar. The study examined the pattern of growth, geographical distribution of the articles; identified the prolific authors & institutions, and their output; and the pattern of citations of the papers and identified most cited authors. The findings indicate that the highest number of articles was published during 2012-2015 followed by 2016-2019. The distribution of output by countries indicates that 39 countries contributed 1,698 articles, including India. Indian authors published the highest percentage (86.1%) of articles followed by USA and had the highest value of CPP and RCI. Authors affiliated to different institutions of Delhi contributed the most (30.7%) followed by Karnataka (13.1%) and Maharashtra (10.5%). Among the institutions, DRDO-DESIDOC and CSIR-NISTADS topped the list. Among the 26 most prolific authors, B.M. Gupta (CSIR-NISTADS) published the maximum number of articles. However, B.R. Babu (University of Madras, Chennai) had the highest value of CPP and RCI. During the studied period, 1,698 papers obtained 15,538 citations, of which 248 (14.6%) articles did not receive any citation. [ABSTRACT FROM AUTHOR]

Tech mining is the application of text mining tools to science and technology information resources. The ever-increasing volume of scientific outputs is a boom to technological innovation, but it also complicates efforts to obtain useful and concise information for problem solving. This challenge extends to tech mining, where the development of techniques compatible with big data is an urgent issue. This article introduces a semi-supervised method for extracting layered technological information from scientific papers in order to extend the reach of tech mining. Our method starts with several pre-set seed patterns used to extract candidate phrases by matching the dependency tree of each sentence. Then, after a series of judgements, phrases are divided into two categories: 'main technique' and 'tech-component'. (A technique, for the purposes of this study, is a method or tool used in the article being analysed.) In order to generate new patterns for subsequent iterations, a weighted pattern learning method is also adopted. Finally, multiple iterations of the method are applied to extract technological information from each paper. A dataset from the field of optical switcher is used to verify the method's effectiveness. Our findings are that (1) by two loops of extraction process in each iteration, our method realises the layered technological information extraction, which contains the 'part–whole' relationships between main techniques and tech-components; (2) the recall rate for main techniques is superior to the baseline after iterating 23 rounds; (3) when layering is disregarded, in the aspect of the precision and the volume of techniques, the new method is higher than that for the baseline; and (4) adjusting another two parameters can optimise the efficiency – however, the effect is neither pronounced nor straightforward. [ABSTRACT FROM AUTHOR]

The Journal of Construction Engineering & Management has announced the recipients of the 2023 Best Paper Award. The winning paper, titled "Deep Learning Image Captioning in Construction Management: A Feasibility Study," explores the automation of deep learning for image captioning in the construction management field. The authors present a systematic approach that includes developing a linguistic schema, creating a dataset of manually captioned images, and evaluating six deep-learning methods using eight metrics. The paper concludes that a method combining two advanced deep learning processes performed the best, and that automatic captioning in construction management is feasible. The article provides valuable insights and suggestions for future development in this area. [Extracted from the article]

This paper investigates the potential of the Gamified Metaverse as a platform for promoting library services. The study compares the effectiveness of a traditional library program with a Metaverse- based library program in terms of knowledge acquisition and library anxiety. The research also examines students' perceptions of implementing gamification within the context of the Gamified Metaverse platform. A mixed-methods approach was adopted, including pre- and post-test analysis, statistical analysis, and qualitative data collection. The results indicate that both the traditional and Metaverse-based library programs effectively increased the participants' knowledge, with no significant difference between the two approaches. However, the Metaverse-based program was found to be less effective in facilitating interaction with librarians and reducing library anxiety. Additionally, students expressed positive perceptions of implementing gamification in the Gamified Metaverse platform, finding it engaging and motivating. These findings contribute to the understanding of the effect of the Metaverse as a tool for promoting library services and enhancing knowledge acquisition. However, it is not as effective in reducing library anxiety, particularly in terms of interaction with librarians and staff. It should be noted that the platform may have limitations such as high costs and potential side effects of virtual reality, making it more suitable as an additional tool for promoting library services, taking into account its feasibility and potential benefits for specific student populations and larger libraries. [ABSTRACT FROM AUTHOR]

This document is an editorial that discusses the current state of human-computer interaction (HCI) in the Metaverse, a virtual-real fusion space. HCI is seen as a crucial technology in the Metaverse, with a focus on developing natural user interfaces (NUI) for more intuitive communication with computers. The document also includes summaries of research papers that cover various topics related to the Metaverse, such as foundational technologies, user motivations, augmented reality in rehabilitation, user motion performance regulation, and the convergence of the Metaverse with computer games and blockchain technology. These papers offer valuable insights into the development and application of HCI technologies in the Metaverse, including methods to enhance object manipulation, affordable gesture recognition devices, the impact of gig work, and the potential benefits of virtual reality for mental health. [Extracted from the article]

Purpose: This paper aims to study the role of artificial intelligence (AI) agents in creating a climate of inclusion for people with special needs in the higher education sector (HES). Design/methodology/approach: A qualitative methodology is used in this research that is mainly based on semistructured interviews conducted with the top ten universities in Lebanon with deans, information technology managers, professors and administrative officers. Findings: This paper highlights findings related to the current status of the higher education institutions (HEIs) in Lebanon vis-à-vis their accreditation and quality assurance processes in accommodating and creating a climate of inclusion for people with special needs. The results show the important role of AI agents in aiding HEI in creating such a climate of inclusion for people with special needs. Originality/value: The study sheds light on existing gaps in the literature related to creating a climate of inclusion for people with special needs in HEI. Additionally, there is yet a lack of research that focuses on the role of AI technology in general and AI agents in particular in fostering a climate of inclusion for people with special needs within the HES. [ABSTRACT FROM AUTHOR]

Random number generators, or RNGs, are essential in a variety of domains, such as blockchain applications, information technology, and computer security. Pseudorandom numbers, their classification, experimental analysis, and the search for cryptographically secure pseudo- random number generators (CSPRNGs) are the main topics of this paper's investigation into cryptographic random number generators. The paper highlights the technical difficulty of producing tamper-proof, unexpected, and verifiable random numbers in distributed systems like blockchains, drawing on findings from a Chainalysis study. Applications of blockchain emphasize the need for safe random numbers, especially in the gaming and token (NFT) industries, which are valued at over $44 million. Platforms such as the blockchain lottery Pooltogether, which has received over $10 million from players and pays out over $8,000 in weekly prizes at random, show the lottery's worldwide appeal. The Proof-of-Stake (POS) consensus method used by Ethereum, which makes use of decentralized RNGs, demonstrates how safe. [ABSTRACT FROM AUTHOR]

With the increasing use of technology in nursing, how nurses perform practice care has changed, inevitably leading to ethical concerns that differ from original ethical norms in nursing. Studies have focused on ethical issues in health informatics from clinicians' or patients' perspectives, while nurses' perspective is needed. This paper conducts a theoretical study on ethical predicaments that arise in nursing informatics from nurses' perspectives. Why and how these predicaments emerge are elaborated. Also, this paper offers countermeasures in realistic contexts from technique, education, and leadership aspects. Collaborations between governments, administrators, educators, technicians, and nurses are needed to step out of these predicaments. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) can significantly contribute to the implementation of the United Nations Sustainable Development Goals (SDGs) by offering innovative solutions and enhancing the efficiency of processes aimed at achieving these goals. There is a perceived need for studies which may look at these connections. Against this background, this paper reports on a study that investigated the connections between artificial intelligence and the implementation of the UN Sustainable Development Goals (SDGs) at higher education institutions. The paper deployed a multi-methods approach. The first one was a bibliometric analysis of publications in the topic. The second method used was an assessment of a set of case studies, that illustrate how artificial intelligence is being deployed among a sample of universities in support of efforts to implement the SDGs and a survey aimed at identifying current and future trends. The data gathered allow some trends to be identified. For instance, that there is a wide range of applications of AI to sustainability in High Education Institutions (HEI), to be chosen in terms of campus operations and greening, outreach and community engagement, research, teaching and learning, and university management. Also, the paper has identified successful examples of the deployment of AI in various sustainability contexts, illustrating what are the success factors for them. Moreover, the survey identified the fact that the use of AI is quite widely spread, and is likely to increase in coming years, due to a greater demand. Finally, AI also poses several challenges, such as authenticity and ethics in assessment (case studies), 'lack of access to software/materials', and 'lack of information technology training for myself/my colleagues' (survey). Overall, AI offers a powerful toolset to accelerate and enhance the implementation of the UN SDGs. By analysing vast datasets, predicting outcomes, optimising processes, and providing new insights, AI has the potential to address complex sustainability challenges across various sectors. HIGHLIGHTS: Artificial intelligence (AI) is fast becoming a component of modern life, being used in many areas. AI has a growing impact on achieving the Sustainable Development Goals. It can catalyse innovations in areas as varied as circular economy and smart cities. AI offers a vital nexus between sustainable development and effective climate change adaptation. [ABSTRACT FROM AUTHOR]

An introduction is presented in which the editor discusses articles in the issue on topics including human services; virtual community; and information technology.

Abstract: Inventory pooling occurs when different actors share their inventories with the aim of reducing costs while improving performances. The paper-making industry requires large amounts of ready to install spares aimed at assuring high availability, but presents the drawback of excessive inventory costs. Pooling inventories, with the support of appropriate IT solutions, can be considered an effective strategy to improve availability while reducing the total costs. In the present work a real-life implementation within an important Italian paper-making district has been successfully carried out. Throughout the study the most recent theoretical models have been adapted after a methodical analysis that has been devoted to allow the identification and of the most significant issues and the building of a wide and solid agreement among the participants. Indeed, this required a thorough investigation, since the involved actors are generally competitors and only agree to pool inventories if this leads to increasing profits for themselves. [Copyright &y& Elsevier]

The article focuses on several issues related to the graphic paper demand in the market including the development of gross domestic product (GDP), population, and the price of paper. It also mentions that diffusion of information and communication technologies are now regarded as a possible driver of its consumption, indicating that the emerging markets for paper demand is a combination of classical and new factors. It examines panel data regression analysis of Russian market along with system dynamics simulation using Monte Carlo sensitivity analysis. It also integrates different quantitative approaches to sketch long-term paper demand.

Abstract: Aim: The aim of this paper was to discuss the importance of ethical aspects when implementing eHealth services in health care. Background: Challenges in healthcare today include a growing older population and, as a consequence, an increased need for healthcare services. One possible solution is the use of eHealth services. Design: Discussion paper. Data sources: Research literature published from 2000–2017 in CINAHL, PubMed and Scopus. Implications for nursing: Implementing eHealth services in health care involves ethical challenges where different technologies can solve different problems in different ways. eHealth services should therefore be developed and implemented based on the patient's specific needs and conditions for use and in accordance with the healthcare professionals' presumption to provide high‐quality care. Conclusion: To preserve patients' integrity, dignity and autonomy, healthcare professionals must include ethical aspects when implementing and using eHealth services in health care. Healthcare professionals have to take responsibility for the eHealth services introduced, explaining why and how they are implemented based on a person‐centred approach. More knowledge is needed about ethical aspects when implementing eHealth services to improve the quality of care. [ABSTRACT FROM AUTHOR]

Recent media ecologies are often characterized by their apparent excess and availability of information, in which elites have lost power to a multitude of citizen users. The 2010s, however, are marked by a new information battlespace, as governments, militaries and news organizations have arrested the initial chaotic free-for-all of the Internet. It was into this environment that the ‘Panama Papers’ were leaked in April 2016. We employ this story to illuminate some of the workings of information warfare in the contemporary Russian media ecology. We reveal the sophisticated gatekeeping work undertaken by a range of actors (state, journalists, news publics) in this ecology and their treatment of information across its historically established (television) and emergent (social) media forms. [ABSTRACT FROM PUBLISHER]

The use of modern technology is becoming part of both industry and agriculture. These technologies can also be used in beekeeping, where they can help to monitor the operation of the hive remotely. Beekeepers can remotely monitor the weight of their hives, their temperature, humidity, and other parameters. The aim of this paper is to map the beekeepers in the use of products with monitoring system for remote bee detection in beekeeping in Czechia. To map the issue, qualitative research using semi-structured interviews was conducted with beekeepers, manufacturers/providers of smart devices in beekeeping, and other entities involved in beekeeping. The findings showed that the interest of manufacturers and sellers to offer these smart devices is significant, but the interest of beekeepers is rather less, due to e.g., the purchase price, weaker IT knowledge, traditional beekeeping practices, higher age of beekeepers and the joy of being personally with bees. The novelty of the paper is not to look at the provision of ICT in beekeeping from a technical perspective, but from the perspective of users (beekeepers) and manufacturers of these technologies. Through interviews with beekeepers as well as others in the apiculture sphere, a comprehensive view of the issue is developed. Moreover, this is the first piece of research on this area in Czechia. [ABSTRACT FROM AUTHOR]

This study drew statistical studies between the increased use of information technology and paper consumption in the Brazilian market, using data for twenty years. Through the literature review on the topic and statistical tests, it was investigated whether corporate investments in information technology provided to reduce the consumption of certain types of papers. The results corroborate the earlier study, developed by Moraes Meirelles and Nacimiento (2010), which was analyzed in a period of six years, indicating that the use of IT did not bring benefit to the reduction of paper consumption. It is evident through this study that the values of IT investments by companies participating in this research had positive correlation with the fall in consumption of newsprint and writing paper type, indicating that, possibly, access to digital information through reduced the use of newspapers. It is also evident in the increased consumption of other types of paper such as newsprint and packaging, consumption increased along with IT investments, thus we can deduce that the easy access to computer equipment, including printers would lead to the printing of electronic files, as well as increased sales of electronic equipment tends to increase the use of packing paper. [ABSTRACT FROM AUTHOR]

The present paper examines the digital competences of secondary school students in Bulgaria in the light of the National External Evaluation of the 10th grade that has been held during the last years by the Ministry of Education and Science. There are ways to raise these competences and to improve the practical experience using the results of a specific experiment in a school in the city of Plovdiv. The main results are discussed in the paper. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive and evidence-based cyber-risk assessment approach specifically designed for Medical Cyber Physical Systems (MCPS)- and Internet-of-Medical Devices (IoMT)-based collaborative digital healthcare systems, which leverage Federated Identity Management (FIM) solutions to manage user identities within this complex environment. While these systems offer advantages like easy data collection and improved collaboration, they also introduce new security challenges due to the interconnected nature of devices and data, as well as vulnerabilities within the FIM and the lack of robust security in IoMT devices. To proactively safeguard the digital healthcare system from cyber attacks with potentially life-threatening consequences, a comprehensive and evidence-based cyber-risk assessment is crucial for mitigating these risks. To this end, this paper proposes a novel cyber-risk assessment approach that leverages a three-dimensional attack landscape analysis, encompassing existing IT infrastructure, medical devices, and Federated Identity Management protocols. By considering their interconnected vulnerabilities, the approach recommends tailored security controls to prioritize and mitigate critical risks, ultimately enhancing system resilience. The proposed approach combines established industry standards like Cyber Resilience Review (CRR) asset management and NIST SP 800-30 for a comprehensive assessment. We have validated our approach using threat modeling with attack trees and detailed attack sequence diagrams on a diverse range of IoMT and MCPS devices from various vendors. The resulting evidence-based cyber-risk assessments and corresponding security control recommendations will significantly support healthcare professionals and providers in improving both patient and medical device safety management within the FIM-enabled healthcare ecosystem. [ABSTRACT FROM AUTHOR]

In recent years, digitalization has been recognized as a significant and necessary process that leads to better results, both in the education and in the scientific research. The legal and strategic framework in the Republic of Serbia follows the modern trends of the concept of open science, open knowledge, digital transformation and a unique digital format of scientific production. The Ministry of science, technological development and innovation, in cooperation with the Office for information technology and electronic administration, created the necessary conditions for dynamic the development of the scientific research and innovation system, especially in relation to the digitalization process and the establishment of an information platform, in the form of a unified national information system of scientific research activities: eNauka [eScience]. The concept of eNauka is an innovative tool that improves the efficiency and transparency of scientific processes in Serbia. The eNauka portal in the Republic of Serbia is dedicated to promoting scientific research, innovation and academic achievements within the scientific community of the Republic of Serbia. This portal provides access to scientific articles, research papers and academic publications authored by researchers from Serbia, which enables the spread of knowledge and the encouragement of scientific cooperation within the country. The eNauka portal was opened in full capacity for all active researchers in Serbia on July 3, 2023, and contains data on scientific research organizations in the Republic of Serbia, researchers and their scientific results. The goal of this paper was to bring closer to the academic community the capabilities and performance of the eNauka portal, its structure, the way and importance of data editing, with special reference to issues related to researchers' profiles and their editing. The paper is methodologically based on a theoretical, preliminary desk analysis of relevant contemporary standpoints in domestic and foreign theory, a normative analysis of current legislative sources, an inductive and deductive approach in researching the operational performance and advantages of the eNauka portal, as well as the quantitative analysis of relevant statistical indicators of relevant parameters regarding the profile that each researcher has on the eNauka portal. The results include the analysis of data related to editing the researcher's profile and the opportunities offered by the eNauka portal. The conclusion refers to the importance and advantages of the eNauke portal. Finally, it should be noted that one of the key functions of eNauka is the evaluation of scientific results. More precisely, the system provides the possibility of monitoring and evaluating research results, which is of great importance for the academic community. [ABSTRACT FROM AUTHOR]

With the popularity of the Internet and the increase in the level of information technology, cyber attacks have become an increasingly serious problem. They pose a great threat to the security of individuals, enterprises, and the state. This has made network intrusion detection technology critically important. In this paper, a malicious traffic detection model is constructed based on a decision tree classifier of entropy and a proximal policy optimisation algorithm (PPO) of deep reinforcement learning. Firstly, the decision tree idea in machine learning is used to make a preliminary classification judgement on the dataset based on the information entropy. The importance score of each feature in the classification work is calculated and the features with lower contributions are removed. Then, it is handed over to the PPO algorithm model for detection. An entropy regularity term is introduced in the process of the PPO algorithm update. Finally, the deep reinforcement learning algorithm is used to continuously train and update the parameters during the detection process, and finally, the detection model with higher accuracy is obtained. Experiments show that the binary classification accuracy of the malicious traffic detection model based on the deep reinforcement learning PPO algorithm can reach 99.17% under the CIC-IDS2017 dataset used in this paper. [ABSTRACT FROM AUTHOR]

Foreign Direct Investment (FDI) spatial dimensions are witnessing paradigm shifts with the acceleration of digital transformation and adoption of disruptive technologies, emergence of Covid-19 which has triggered unexpected dynamics in the open system, erosion of brick-and-mortar paradigm in service sectors such as Financial Services and Information Technology, and blurring lines of locational advantages. Despite the intellectual continuity and diversity driving the premise of FDI-foreign location research stream, a comprehensive literature review of location attractiveness is lacking, especially in the context of the new norm. This paper systematically reviews the theoretical and empirical research on FDI location by content-analyzing 221 articles published between 1999 and 2023. Innovation, digital transformation, human capital, and knowledge-related assets are identified as the emerging trends and determinants influencing host-location attractiveness for FDI by MNEs in the new norm. This paper also provides recommendations for future research avenues aimed at enriching the body of knowledge in this research stream. Plain language summary: Whilst traditionally the offshoring spatial dimensions have been largely predictable, the emergence of Covid-19 and technology revolution has significantly altered the playing field. The traditional factors which influenced host location attractiveness in the past may no longer be applicable. There is an impending need to identify the determinants which are relevant and applicable in the new norm. Moreover, despite the intellectual continuity and diversity driving the premise of FDI-foreign location research stream, a comprehensive literature review of location attractiveness is lacking, especially in the context of the new norm. With these in mind, this paper systematically reviews the theoretical and empirical research on FDI location by analyzing 221 articles published between 1999 and 2023, to identify the emerging trends on what makes a location attractive for FDIs by MNEs. Through rigorous content analysis, the emerging themes and trends on locational studies were first identified, and subsequently these were linked to recent global phenomenon (Industry 4.0 led digitalization and disruptive technologies and ripple effects from Covid-19 pandemic) to draw implications on the critical factors which influence host-location attractiveness in the new norm. Based on the review, five key determinants were predicted to have a dominant influence: human capital investment, absorptive capacity, knowledge creation, innovation capability, and ICT infrastructure advancement. These factors can be exploited to create or upgrade competitive advantages in order to amplify host location attractiveness. Future research avenues are also recommended based on the findings from this review. [ABSTRACT FROM AUTHOR]

The proliferation of mobile phones across the world has contributed to the rise of mHealth interventions as a complementary means for improving health outcomes in areas where health facilities are limited. However, community members who do not own or have access to mobile devices feel excluded from such interventions. In this paper, we seek to understand and explore engagement strategies that support the inclusion of non-mobile phone owners in mHealth interventions. We conducted a review of mHealth and community engagement literature to gauge the strategies different studies have employed to engage non-mobile phone owners and users. We further reflected on two Southern African case studies from health and citizen engagement sectors to gain insights on ways non-mobile phone owners may feel included in mHealth interventions. Through a process of thematic analysis, we have identified three areas that mHealth implementers could draw from when designing more inclusive mHealth interventions. These strategies include the need for sensitising communities, using multi-stakeholder and multi-sectoral collaboration, and embracing a braided approach to communication technologies. We hope that this paper will inform mHealth project implementers on different strategies they can use to include community members, regardless of whether they own mobile phones or not. [ABSTRACT FROM AUTHOR]