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Using a qualitative historical research approach, this paper examines the contextual influences, including the formulation motive and their possible impact on policy implementation, of the South African (SA) e-Education White Paper 7 (WP7). A critical discourse analysis (CDA) was conducted on the policy and data was collected through semi-structured interviews (SSI) with purposefully selected participants. Findings of the study reveal tacit contradictions and tensions depicting a policy in contradiction with itself, carrying the hallmark of a symbolic policy. That is, a policy characterised by lack of direction, contradictions in its motive of formulation, no dedicated resources for its implementation, distorted communication resulting from the validity tests, and lack of "material consequences" (Rivzi and Lingard, 2009, p.8). The circumstantial context (socioeconomic and political) of its formulation, dictated to by the prescripts of the negotiated political settlement (NPS), that ushered in the new democratic South Africa (SA), is found to have taken precedence. It further overshadowed critical analysis on the educational needs, which would have informed a better strategic integration of Information and Communication Technology (ICTs) in education. The circumstantial context resulted in a lack of a common goal between policy actors and interest groups. This, to the extent that the former thought of capitalising on the donations of the latter for their own political interests, while the latter saw in the formulation of such policy a way of imposing Government spending in favour of their businesses. These circumstances may have contributed to the policy's failure to reach its set textual objectives and goal by 2013.

Faculty in the information systems (IS) and information technology (IT) fields are faced with the challenge to keep their curriculum relevant and current. What was taught two years ago will often be outdated and faculty must constantly update their curriculum on which courses should be taught as well as what should be taught within a particular course. This research continues a fifteen-year effort to help understand employer needs in terms of the skills they desire new hires to possess upon employment. This is the sixth version of this employer survey. The survey continues to report the responses of over 500 IS/IT professionals and was expanded to ask additional questions related to salary information. In addition, based on feedback from open-ended questions in a prior survey, new categories were added to the survey. Several key results and changes from prior surveys include that VR/AR (virtual reality/augmented reality) platforms showed the highest anticipated growth rate for all operating platforms in the next two years, analytics tools such as Apache Spark showed high growth rate, and JavaScript maintained the first position for programming languages.

Background: Roadside observational studies play a fundamental role in designing evidence-informed strategies to address the pressing global health problem of road traffic injuries. Paper-based data collection has been the standard method for such studies, although digital methods are gaining popularity in all types of primary data collection., Objective: This study aims to understand the reliability, productivity, and efficiency of paper vs digital data collection based on three different road user behaviors: helmet use, seatbelt use, and speeding. It also aims to understand the cost and time efficiency of each method and to evaluate potential trade-offs among reliability, productivity, and efficiency., Methods: A total of 150 observational sessions were conducted simultaneously for each risk factor in Mumbai, India, across two rounds of data collection. We matched the simultaneous digital and paper observation periods by date, time, and location, and compared the reliability by subgroups and the productivity using Pearson correlations (r). We also conducted logistic regressions separately by method to understand how similar results of inferential analyses would be. The time to complete an observation and the time to obtain a complete dataset were also compared, as were the total costs in US dollars for fieldwork, data entry, management, and cleaning., Results: Productivity was higher in paper than digital methods in each round for each risk factor. However, the sample sizes across both methods provided a precision of 0.7 percentage points or smaller. The gap between digital and paper data collection productivity narrowed across rounds, with correlations improving from r=0.27-0.49 to 0.89-0.96. Reliability in risk factor proportions was between 0.61 and 0.99, improving between the two rounds for each risk factor. The results of the logistic regressions were also largely comparable between the two methods. Differences in regression results were largely attributable to small sample sizes in some variable levels or random error in variables where the prevalence of the outcome was similar among variable levels. Although data collectors were able to complete an observation using paper more quickly, the digital dataset was available approximately 9 days sooner. Although fixed costs were higher for digital data collection, variable costs were much lower, resulting in a 7.73% (US $3011/38,947) lower overall cost., Conclusions: Our study did not face trade-offs among time efficiency, cost efficiency, statistical reliability, and descriptive comparability when deciding between digital and paper, as digital data collection proved equivalent or superior on these domains in the context of our project. As trade-offs among cost, timeliness, and comparability-and the relative importance of each-could be unique to every data collection project, researchers should carefully consider the questionnaire complexity, target sample size, implementation plan, cost and logistical constraints, and geographical contexts when making the decision between digital and paper., (©Niloufer Taber, Amber Mehmood, Perumal Vedagiri, Shivam Gupta, Rachel Pinto, Abdulgafoor M Bachani. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.05.2020.)

The development of digital technology has changed the audience's reading behavior and reading habits, and the difference between digital reading and paper reading has become a research hot spot. However, the academic circle has not reached an agreement on the reading effect of digital reading and paper reading. This study included 37 experimental studies for meta-analysis and analyzed the influence of moderating variables such as audience characteristics, text characteristics, and reading conditions. This study deepens the understanding of the reading effect and provides a reference for improving it. The study shows no significant difference in overall reading comprehension between digital reading and paper reading, and there are differences under moderating variables. The study has revealed that digital reading and paper reading have advantages and disadvantages and complement each other. The publishing industry should develop corresponding knowledge service products based on the characteristics of reading effects to promote the healthy development of the reading industry.

The purposes of this study were to examine the extent to which literature was used to discuss findings in selected papers from Zimbabwe Journal, and to compare the quality of reviews in this journal with other international journals. The study was largely qualitative in nature and used convenient sampling. In the study, the Zimbabwe Journal was chosen because of easy access. Three papers were conveniently selected based on personal interest and areas previously studied. Content analysis was used to compare the quality of discussion of literature in the sampled papers. Findings suggest that authors cite relevant literature extensively in the background to the study but use the same literature sparingly in the discussion of their results. Further, in the discussion of findings, the use of literature was limited to confirming what was already known, and does not show how the new studies reported contribute to knowledge. The study concluded that the journal studied was failing to attract authors who write high quality papers. Perhaps the journal should broaden its brief and target an international audience, because at present as evident in the three cases cited, the journal can only reach out to practitioners within (Southern) Africa.

The widespread use of risograph printing in printing houses requires an increase in the speed of equipment while maintaining the printing quality of the original layouts. The problem of risograph printing is not always obtaining high-quality images, since the risographs used in the standard driver (periodic, non-periodic) do not always allow you to get the printed image the same as in the original. This is reflected in the insufficiency of parameters such as image clarity and sharpness. Problems of poor quality of risograph printing can be solved by changing the settings of the risograph driver for the original layout with additional use of digital filtering and image rasterization. This will require the creation of additional image rasterization methods to improve the initial indicators of the original layout in contrast, clarity, and the correctness of the transmission of halftone images and will improve the quality of printed images, as well as ensure the efficiency of the printing process for a wide range of original layouts.

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).

The number of retracted papers from Chinese university-affiliated hospitals is increasing, which has raised much concern. The aim of this study is to analyze the retracted papers from university-affiliated hospitals in mainland China from 2000 to 2021.

Artificial intelligence tools have presented many challenges and opportunities to transform teaching and learning on college campuses. These changes are significant enough to require colleges to take action to create a framework by which faculty and students can navigate the proper usage of these tools. Rather than working to create entirely new policies strictly for addressing these new technologies, they should instead edit their existing academic integrity and intellectual property statements to incorporate explicit mentions of artificial intelligence.

The notable increase in retraction papers has attracted considerable attention from diverse stakeholders. Various sources are now offering information related to research integrity, including concerns voiced on social media, disclosed lists of paper mills, and retraction notices accessible through journal websites. However, despite the availability of such resources, there remains a lack of a unified platform to consolidate this information, thereby hindering efficient searching and cross-referencing. Thus, it is imperative to develop a comprehensive platform for retracted papers and related concerns. This article aims to introduce “Amend,” a platform designed to integrate information on research integrity from diverse sources.

Background: Given the increasing popularity of reading from screens, it is not surprising that numerous studies have been conducted comparing reading from paper and electronic sources. The purpose of this systematic review and meta-analysis is to consolidate the findings on reading performance, reading times and calibration of performance (metacognition) between reading text from paper compared to screens. Methods: A systematic literature search of reports of studies comparing reading from paper and screens was conducted in seven databases. Additional studies were identified by contacting researchers who have published on the topic, by a backwards search of the references of found reports and by a snowball search of reports citing what was initially found. Only studies that were experiments with random assignment and with participants who had fundamental reading skills and disseminated between 2008 and 2018 were included. Twenty-nine reports with 33 identified studies met inclusion criteria experimentally comparing reading performance (k = 33; n = 2,799), reading time (k = 14; n = 1,233) and/or calibration (k = 11; n = 698) from paper and screens. Results: Based on random effects models, reading from screens had a negative effect on reading performance relative to paper (g = -0.25). Based on moderator analyses, this may have been limited to expository texts (g = -0.32) as there was no difference with narrative texts (g = -0.04). The findings were similar when analysing literal and inferential reading performance separately (g = -0.33 and g = -0.26, respectively). No reliable differences were found for reading time (g = 0.08). Readers had better calibrated (more accurate) judgement of their performance from paper compared to screens (g = 0.20). Conclusions: Readers may be more efficient and aware of their performance when reading from paper compared to screens.

The Information Systems discipline has long suffered an identity crisis. It has also been prone to program sustainability issues as a technology focus has waxed and waned over the last 50 years. This paper suggests a new approach to teaching Information Systems, utilizing the notion of "fundamental and powerful concepts." Using digital disruption as a fundamental and powerful concept, the authors argue for the core IS course and the courses that make up the major to be developed and centered around the transformation of business models, products, and services caused by emerging digital technologies. The paper includes an outline for the core IS course and the other courses in the major and concludes with a suggestion that the fundamental and powerful concept of digital disruption be used as an approach to teaching Information Systems.

The goal of this study is a comparative analysis of the relation between funding (a main driver for scientific research) and citations in papers of Nobel Laureates in physics, chemistry and medicine over 2019-2020 and the same relation in these research fields as a whole.

Building on the importance of experiential learning for early career success, this paper presents a blueprint for a multiple-tier co-op approach, where students as early as high school will be selected by employers, will learn skills relevant to the employer's needs, and will get hands-on experience while enrolled in a relevant educational program. This program is currently being developed by a partnership of industry professionals, university faculty, and local school district faculty and administrators in Anchorage, Alaska. After identifying a need for more and better qualified candidates for many unfilled IT positions, a consortium of hiring authorities in Anchorage initiated discussions with educators to better align curriculum with employers' needs and to establish a pipeline in the education system for better recruiting, growing, and retaining technology talent. Two high school courses have been developed as a result of this collaboration and are being offered with direct assistance and involvement from the business community. In the courses, students are evaluated against a series of 13 micro-credentials relevant for IT professionals. An articulated pathway into university degrees and an extension of the pipeline into middle school are under development.

This qualitative study investigated how pre-service teachers of English for Speakers of Other Languages (ESOL) experienced and learned from their completion of a reflective project, including a reflection paper and digital storytelling. The participants were 20 graduate students in a program for Teaching English to Speakers of Other Languages (TESOL) at a university in the United States. This study aimed to identify participants' experiences when completing the project and its influences on their learning. The findings demonstrated their diverse performance and perspectives during the tasks, as well as their learning in language, culture, education, and technology. Based on these findings, dialogic hybrid learning and the pedagogical implications are discussed.

Abstract Adverse Outcome Pathways (AOPs) have been proposed to facilitate mechanistic understanding of interactions of chemicals/materials with biological systems. Each AOP starts with a molecular initiating event (MIE) and possibly ends with adverse outcome(s) (AOs) via a series of key events (KEs). So far, the interaction of engineered nanomaterials (ENMs) with biomolecules, biomembranes, cells, and biological structures, in general, is not yet fully elucidated. There is also a huge lack of information on which AOPs are ENMs-relevant or -specific, despite numerous published data on toxicological endpoints they trigger, such as oxidative stress and inflammation. We propose to integrate related data and knowledge recently collected. Our approach combines the annotation of nanomaterials and their MIEs with ontology annotation to demonstrate how we can then query AOPs and biological pathway information for these materials. We conclude that a FAIR (Findable, Accessible, Interoperable, Reusable) representation of the ENM-MIE knowledge simplifies integration with other knowledge. Scientific contribution This study introduces a new database linking nanomaterial stressors to the first known MIE or KE. Second, it presents a reproducible workflow to analyze and summarize this knowledge. Third, this work extends the use of semantic web technologies to the field of nanoinformatics and nanosafety.

Objective In recent years, advancements in information technology, such as wireless EMG, high-resolution cameras, programs like OpenSim, innovations in textile sensors, and the emergence of artificial intelligence and smart mobile devices, have provided biomechanists with new tools and approaches. This study aims to investigate emerging trends in sports biomechanics, summarizing and providing practical insights from research conducted between 2015 and 2023. Methods A systematic search of research articles on new biomechanics approaches published between 2015 and 2023 was conducted. Specialized databases were queried, and 47 articles meeting the inclusion criteria were selected for analysis. Results Analysis of the selected studies revealed that the integration of information technology, artificial intelligence, smartphones, software, and wearable medical sensors in sports biomechanics has shown promising results in enhancing performance and reducing injury risks. Conclusion The findings of this study suggest that advancements in sports biomechanics technologies are pushing the boundaries of current research. Continued exploration and application of these technologies will likely shape the future of sports science and performance.

Making personalized paper recommendations to users in an educational domain is not a trivial task of simply matching users' interests with a paper topic. Therefore, we proposed a context-aware multidimensional paper recommendation system that considers additional user and paper features. Earlier experiments on experienced graduate students demonstrated the significance of this approach using modified collaborative filtering techniques. However, two key issues remain: (1) How would the modified filtering perform when target users are inexperienced undergraduate students who have a different pedagogical background and contextual information-seeking goals, such as task- and course-related goals, from those of graduate students?; (2) Should we combine graduates and undergraduates in the same pool, or should we separate them? We conducted two studies aimed at addressing these issues and they showed that (1) the system can be effectively used for inexperienced learners; (2) recommendations are less effective for different learning groups (with different pedagogical features and learning goals) than they are for the same learning groups. Based on the results obtained from these studies, we suggest several context-aware filtering techniques for different learning scenarios. (Contains 7 tables, 4 figures, and 1 footnote.)

Fragmented connectivity in South Africa is the dominant barrier for digitising initiatives. New insights surfaced when a university-based nursing programme introduced tablets within a supportive network learning environment. A qualitative, explorative design investigated adult nurses' experiences of the realities when moving from paper-based learning towards using tablets within a blended learning environment. Purposive sampling was applied. 45 (N) participants were included, each receiving a preloaded tablet (15 running on iOS, 15 on Android 4.2.2 Jelly Bean and 15 on Windows® 8 operating systems), being WiFi-dependent, integrated into a supportive learning network. Participants completed eleven compulsory Internet-based activities. Three reflective focus groups with 18 (n) participants concluded the project. Through self-empowerment and supportive environment, students adopted seamlessly, overcame network and resource-related challenges. Valuable lessons were learned within the digital divide, integrate tablets into distance learning from a resilient and pragmatic approach.

Within the domain of architectural urban informatization, the automated precision recognition of two-dimensional paper schematics emerges as a pivotal technical challenge. Recognition methods traditionally employed frequently encounter limitations due to the fluctuating quality of architectural drawings and the bounds of current image processing methodologies, inhibiting the realization of high accuracy. The research delineates an innovative framework that synthesizes refined semantic segmentation algorithms with image processing techniques and precise coordinate identification methods, with the objective of enhancing the accuracy and operational efficiency in the identification of architectural elements. A meticulously curated data set, featuring 13 principal categories of building and structural components, facilitated the comprehensive training and assessment of two disparate deep learning models. The empirical findings reveal that these algorithms attained mean intersection over union (MIoU) values of 96.44% and 98.01% on the evaluation data set, marking a substantial enhancement in performance relative to traditional approaches. In conjunction, the framework’s integration of the Hough Transform with SQL Server technology has significantly reduced the coordinate detection error rates for linear and circular elements to below 0.1% and 0.15%, respectively. This investigation not only accomplishes the efficacious transition from analog two-dimensional paper drawings to their digital counterparts, but also assures the precise identification and localization of essential architectural components within the digital image coordinate framework. These developments are of considerable importance in furthering the digital transition within the construction industry and establish a robust foundation for the forthcoming extension of data collections and the refinement of algorithmic efficacy.

The deep penetration and global impact of mobile devices has led the scientific community to undertake a thorough analysis of the implications of this phenomenon. Researchers need to determine their true real effect and how they can best be used to manage information and build knowledge. This study has examined recent investigations on the subject of mobile learning and carried out a descriptive analysis of a sample of registers indexed on the Web of Science research platform in 2015-16. An exhaustive content analysis has revealed new areas where M-Learning is being implemented, especially in the teaching of foreign languages, the emergence of social interaction methodologies in Secondary Education, evolving forms of collaborative relationships, work with clearly defined student profiles and the use of virtual immersive and innovative spaces in Higher Education. This paper also emphasizes the presence of previously unknown, transcendent problems associated with M-learning, such as the collateral addiction effect, and its interference in the classroom. Finally, our study suggests that teachers could embrace these technological proposals and include them in their strategies. Indeed, it might be necessary to flip the process, so this research could be the start of the generation and design of innovative guidelines to manage these forms and content.

This article evaluates the impact of extending a traditional written research paper into a digital documentary on students' perception and level of comprehension of a global sustainability issue. An adaptation of Moon's (1999) five-stage map of learning was used to assess the written and digital projects students submitted to a statewide conference. The assessment was enriched by a survey gauging students' feelings about the process of creating their papers and documentaries. Results show the value of the written paper (expository) as a reflection artifact of a student's personal worldview. Transforming the message into a digital documentary encourages students also to appreciate global issues through the eyes of cultural "others," a process Hanvey (1982) called "perspective consciousness."

Under the rapid advances of digital technology, traditional paper-based forms of reading and writing are steadily giving way to digital-based literacies, in theory as well as in application. Drawing on a study of literacy in a medical workplace context, this article examines critically the shift toward computer-mediated textual practices. While a considerable body of research has investigated benefits and issues associated with digital literacy tools in medicine, we consider the affordances of paper-based practices. Our analysis of verbal interaction and textual artifacts drawn from a qualitative study of oncology visits indicates that the uses of pen and paper are advantageous for both doctor and patient. Specifically, they allow doctors to process and package information in ways that are favorable to their personal modus operandi, and they enable patients to participate in the medical visit and take an active role in managing their medical treatment. Understanding the affordances of paper-based literacy provides insights for refining digital tools as well as for motivating the design of possible hybrid forms and digital-analog intersections that can best support medical practices.

To reveal the typical features of text duplication in papers from four medical fields: basic medicine, health management, pharmacology and pharmacy, and public health and preventive medicine. To analyze the reasons for duplication and provide suggestions for the management of medical academic misconduct.

The present study is an evaluation of published papers on machine learning as employed in mastitis research. The aim of this study was the quantitative evaluation of the scientific content and the bibliometric details of these papers. In total, 69 papers were found to combine machine learning in mastitis research and were considered in detail. There was a progressive yearly increase in published papers, which originated from 23 countries (mostly from China or the United States of America). Most original articles (n = 59) referred to work involving cattle, relevant to mastitis in individual animals. Most articles described work related to the development and diagnosis of the infection. Fewer articles described work on the antibiotic resistance of pathogens isolated from cases of mastitis and on the treatment of the infection. In most studies (98.5% of published papers), supervised machine learning models were employed. Most frequently, decision trees and support vector machines were employed in the studies described. ‘Machine learning’ and ‘mastitis’ were the most frequently used keywords. The papers were published in 39 journals, with most frequent publications in Computers and Electronics in Agriculture and Journal of Dairy Science. The median number of cited references in the papers was 39 (interquartile range: 31). There were 435 co-authors in the papers (mean: 6.2 per paper, median: 5, min.–max.: 1–93) and 356 individual authors. The median number of citations received by the papers was 4 (min.–max.: 0–70). Most papers (72.5%) were published in open-access mode. This study summarized the characteristics of papers on mastitis and artificial intelligence. Future studies could explore using these methodologies at farm level, and extending them to other animal species, while unsupervised learning techniques might also prove to be useful.

Cancer research is occasionally described as being in a reproducibility crisis. The cancer literature has ample papers retracted due to misconduct, including the use of paper mills, invalid authorship, or fake data. The objective of this paper was to gain an appreciation of the balance of retractions and associated retraction notices of 23 retracted Cancer Biotherapy and Radiopharmaceuticals papers associated with paper mills. By 23 March 2023, these retracted papers had already accumulated 287 citations according to Web of Science Core Collection, 253 according to Scopus, and 365 according to Google Scholar, i.e., metrically speaking, they were highly rewarded. All authors had an affiliation (71% being a hospital) in China. Most (12/21; 57%) of corresponding authors had emails with a @163.com suffix. Four of the retraction notices (i.e., 17%) explicitly indicated paper mills as a reason for retraction although, in general, the retraction notices lacked details and background that could assist readers’ understanding of the retractions.

Augmented paper has been proposed as a way to integrate more easily ICTs in settings like formal education, where paper has a strong presence. However, despite the multiplicity of educational applications using paper-based computing, their deployment in authentic settings is still marginal. To better understand this gap between research proposals and everyday classroom application, we surveyed the field of augmented paper systems applied to education, using the notion of "classroom orchestration" as a conceptual tool to understand its potential for integration in everyday educational practice. Our review organizes and classifies the affordances of these systems, and reveals that comparatively few studies provide evidence about the learning effects of system usage, or perform evaluations in authentic setting conditions. The analysis of those proposals that have performed authentic evaluations reveals how paper based-systems can accommodate a variety of contextual constraints and pedagogical approaches, but also highlights the need for further longitudinal, in-the-wild studies, and the existence of design tensions that make the conception, implementation and appropriation of this kind of systems still challenging.

The aim of this article is to explore up to seven parameters related to the methodological quality and reproducibility of thematic bibliometric research published in the two most productive journals in bibliometrics, Sustainability (a journal outside the discipline) and Scientometrics, the flagship journal in the field.

Many studies have emphasized the incorporation of active learning into classrooms to reinforce didactic lectures for physiology courses. This work aimed to determine if presenting classic papers during didactic lectures improves the learning of physiology among undergraduate students. Twenty-two students of health information technology were randomly divided into the following two groups: 1) didactic lecture only (control group) and 2) didactic lecture plus paper presentation breaks (DLPP group). In the control group, main topics of gastrointestinal and endocrine physiology were taught using only the didactic lecture technique. In the DLPP group, some topics were presented by the didactic lecture method (similar to the control group) and some topics were taught by the DLPP technique (first, concepts were covered briefly in a didactic format and then reinforced with presentation of a related classic paper). The combination of didactic lecture and paper breaks significantly improved learning so that students in the DLPP group showed higher scores on related topics compared with those in the control group (P < 0.001). Comparison of the scores of topics taught by only the didactic lecture and those using both the didactic lecture and paper breaks showed significant improvement only in the DLPP group (P < 0.001). Data obtained from the final exam showed that in the DLPP group, the mean score of the topics taught by the combination of didactic lecture and paper breaks was significantly higher than those taught by only didactic lecture (P < 0.05). In conclusion, the combination of paper presentation breaks and didactic lectures improves the learning of physiology.

To supplement the quantitative portrait of Ukrainian Economics discipline with the results of gender and author ordering analysis at the level of individual authors, special methods of working with bibliographic data with a predominant share of non-English authors are used. The properties of gender mixing, the likelihood of male and female authors occupying the first position in the authorship list, as well as the arrangements of names are studied.

Purpose: To identify cases related to design of ICT platforms for industrial alliances, where the use of Ontology-driven architectures based on Semantic web standards is more advantageous than application of conventional modeling together with XML standards. Design/methodology/approach: A comparative analysis of the two latest and the most obvious use cases (NASA and Nordic Process Industry Data Exchange Alliance) concerned with development of an environment for integration and collaboration of industrial partners, has been used as a basis for the research results. Additionally, dynamics of changes in a domain data model and their consequences have been analyzed on a couple of typical use cases. Findings: Ontology-driven architectures of a collaboration and integration ICT platforms have been recognized as more appropriate for a technical support of industrial alliances around a supply-chains with a long life cycles. Research limitations/implications: More typical cases related to changes in domain data/knowledge models and to necessity of their integration, have to be considered and analyzed in search of advantageous of ontological modeling over conventional modeling approaches. Ways of a gradual change from conventional domain models to ontological ones in ICT systems have to be studied. The significance of existing XML-based tools and the popularity of XML has to be estimated for the wide adoption of Semantic web principles. Practical implications: The modeling approach which will be used as a core for building a collaboration and integration ICT platforms has to be carefully selected. Incorrect choice (e.g. UML together with XML) can cause consequences that will be hard to reform. The paper is anticipated to facilitate faster adoption of the Semantic web approach by industry. Originality/value: The serious revision of existing and emerging domain modeling approaches has been undertaken. More unique arguments in favor of ontological modeling have been discovered. The paper is intended for serious consideration by emerging industrial alliances with regard to their choice in a core technology that will technically enable integration and collaboration between partners.

This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their widereaching impact across various sectors. The discussion sheds light on the complex issues and potential benefits presented by LLMs, providing a comprehensive overview of the field's current state. In the context of higher education, the paper explores the challenges and opportunities posed by LLMs. These include issues related to educational assessment, potential threats to academic integrity, privacy concerns, the propagation of misinformation, Equity, Diversity, and Inclusion (EDI) aspects, copyright concerns and inherent biases within the models. While these challenges are multifaceted and significant, the paper emphasises the availability of strategies to address them effectively and facilitate the successful adoption of LLMs in educational settings. Furthermore, the paper recognises the potential opportunities to transform higher education. It emphasises the need to update assessment policies, develop guidelines for staff and students, scaffold AI skills development, and find ways to leverage technology in the classroom. By proactively pursuing these steps, higher education institutions (HEIs) can harness the full potential of LLMs while managing their adoption responsibly. In conclusion, the paper urges HEIs to allocate appropriate resources to handle the adoption of LLMs effectively. This includes ensuring staff AI readiness and taking steps to modify their study programmes to align with the evolving educational landscape influenced by emerging technologies.

The number of citations has been widely used to measure the significance of a paper. However, there is a need in introducing another index to determine superiority or inferiority of papers with the same number of citations. We determine superiority or inferiority of papers by using the ranking based on the number of citations and PageRank.

To uncover the evaluation information on the academic contribution of research papers cited by peers based on the content cited by citing papers, and to provide an evidence-based tool for evaluating the academic value of cited papers.

The study develops and presents a concept of Virtual Internationalization (VI) in higher education, which refers to internationalization implemented using information and communications technology (ICT). VI is contextualized with the inclusiveness of international experiences and with external challenges to internationalization (posed, for example, by the COVID-19 pandemic). Conceived as an institution-spanning concept, VI is developed from the ACE-CIGE model of Comprehensive Internationalization. It is inferred from actual practice based on a content analysis of conference abstracts from relevant fields, employing coding and computer-assisted text analysis (CATA). Based on the findings, the VI concept includes "strategies and articulated institutional commitment" as a transversal category and "online and distance education" (ODE) as an additional category in contrast to the concept of Comprehensive Internationalization. This research furthermore considers two dimensions of VI: one that is directly internationalization-related and the other concerned with broader aims of the combination of the virtual and the international. It concludes with a perspective on a "new normal" of hybrid internationalization in higher education.

Creation of new digital technologies let automate the reproduction of text and graphic information, led to the creation and development of the digital printing. Digital printing is a technology for producing prints in the printer based on the original layout, created as corresponding codes with a computer. One of the technologies of digital printing is a computer-to-press and one of the devices in this direction is risograph. The risograph printing quality is worse than offset printing. The text is printing with medium sharpness and images remind photos in old newspapers and require special preparation. But risograph is the most profitable solution for small and medium circulations from 50 up to 1000 sheets. Wide usage of risograph printing in typographies demands increase performance of the equipment with the high print quality of digital images. To improve the quality of risographic printing, the creation of methods is required to form the initial indicators of the original layout (clarity, correct transmission of halftones, contrast). At the same time, the result of obtaining high-quality images obtained by printing on a risograph is affected by surface microgeometry and the physical and mechanical properties of paper. So, the optical density of the ink layer on the print is largely determined by the structure of the sections of paper, in particular, absorbency and porosity. To obtain high-quality images on prints, it is necessary not only to customize the original layout, but also to select paper with such characteristics that would allow you to get the best result when printing on a risograph. Since the risograph occupies an intermediate place in quality between copying equipment and laser printing, a laser print is taken as the standard for print quality. And one of the tasks of the quality of risographic prints is to increase it to the quality of laser printing.

The main aim of this work is to provide insight into a bibliometric analysis of Data Journals and Data Papers in terms of research areas, disciplines, publication year and country. In particular, we calculated many bibliometric indicators, especially: the number of publications and citations. Furthermore, this work also investigated the top 20 journals in which scientists published the largest number of Data Papers. It was found that the first Data Paper in Medical and Health Science was published in 2006. Our results indicate that about 64% of Data Papers are cited and about 30% of Data Papers are articles that have international co-authors. We also found that a significant number of Data Papers were published in top quartile (Q1) Open Access journals. Furthermore, most Data Papers were published in Multidisciplinary Sciences, followed by Biological Sciences, Earth and related Environmental Sciences as well as Computer and Information Sciences. Our analyses show that the largest number of Data Papers were published in journals with an Impact Factor ranging from 5 to 6. Additionally, the largest number of Data Papers were published in the USA, China, the United Kingdom, Italy and France. From the point of view of scientists, this work is needed because scientists can check information about journals in which they may publish research data. Moreover, they can find Data Journals with a high Impact Factor and MEiN points. This analysis is also interesting because scientists/publishers can compare the disciplines and countries in which researchers have published the greatest number of Data Papers. Finally, it is worth noting that this work gives insights into the various bibliometric indicators related to citations and the number of publications. This information can be useful for people associated with bibliometric analyses.

This paper investigates the phenomenon of "digital plagiarism" and its effects on scientific research in Moroccan universities. It subscribes itself in the recent research work that focuses on university students and Information Technology in this "soft age," if one may name it as such. Amid the catastrophic plummeting reading rates, the massive digital youth migration to and dense immersion into the e-content abyss, and the consequent extensive dependence on web-generated information without regular sound verification and/or academic documentation, this paper attempts to identify the causes of that phenomenon and specify the ways Moroccan university students, especially undergraduates, use online content relevant to doing/writing their graduation research papers.

This study explores how Deleuzian concepts of assemblage, affect, and rhizome can inform, and transform, our understanding of how technology shapes second language academic writing. More specifically, it focuses on the practice of L2 academic writing as novice writers compose a source-based research paper in an English for Academic Purposes bridging program. The study followed seven student participants over several weeks as they worked on this assignment. Data-collection instruments included ongoing interviews throughout the writing process, document analysis of written drafts, screencast recordings, and researcher diary. Rhizoanalysis was used to analyze the data and map connections between the elements operating in the student writers' assemblage. Vignettes are presented to problematize conventional reading of data and to turn attention to texts in L2 writing research as asignifying machines. Reading participant data differently allows for exploration of the interconnections between the material, affective, and expressive elements and forces in the digital mediated source-based writing process. For these novice L2 student writers, the elements and forces in their assemblage operate in unique and unpredictable ways, producing unforeseen outcomes.

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]

Phishing is one of the major web social engineering attacks. This has led to demand for a better way to predict and stop them in a commercial environment. This paper seeks to understand the research done in the field and analyse the next steps forward. This is done by focusing on what goes into the selection of proper features, from manual selection to the use of Genetic Algorithms such as ADABoost and MultiBoost. Then a look into the classifiers in use, Neural Networks and Ensemble algorithms which were prominent alongside some novel approaches. This information is then processed into a framework for cloud-based and client-based phishing website detection, alongside suggestions for possible future research and experiments that could help progress the field.

The main purpose was to draw a scientific network of research articles on the subject area of Imam Reza. The study was conducted with co-occurrence analysis of words and network analysis technique to identify the conceptual relationships between published papers on the subject of Imam Reza. 1305 articles focusing on Imam Reza were analyzed by comprehensive studies. Descriptive data were entered into Excel software to standardize and draw graphs. Ravromatrix was used to prepare symmetric matrices to draw coherent maps. The matrices were entered into the UCINet to calculate the degree of centrality of degree. VOSViewer software was also used to illustrate the maps. The research findings showed that writers such as Khalil Beigzadeh and Zahra Ghasemnejad are among the most prolific writers. The Ferdowsi University of Mashhad is also in the first rank of participation in publishing articles on the subject of Imam Reza. Researchers with the academic rank of assistant professor have been most involved in publishing the article. The field of Persian language and literature has the most active researchers in publishing articles. Authors such as Mansoureh Fassih-Ramandi, and Hossein Behravan, have a high ability to transfer information and knowledge in the network. Scientific disciplines such as educational sciences, and social research, are among the most popular disciplines in the interdisciplinary collaboration network with the highest degree of degree centrality. Universities such as Amin Law Enforcement Sciences, and Payame Noor, are among the most popular organizations active in the network of cooperation between scientific institutions supporting the publication of articles.

Governance for centralized organizational structures has long roots and well-developed frameworks, including for various specialty areas, such as IT or data governance. However, the introduction of blockchain technology as a supportive tool for implementing decentralized organizations requires a renewed focus for research in the area. The paper utilizes empirical data from blockchain ecosystems in the form of white papers (public communique of intention) to analyze their governance intentions. The empirical findings are based on a review of 241 blockchains and distributed ledger technology white papers, out of which 67 include explicit descriptions of how governance should be organized in the ecosystem. Our empirical research distinguishes between three categories of governance: objectives, mechanisms, and stakeholders. We further identify 28 features for these categories, which are described in an open encoding format. Hence, the paper contributes to the emerging blockchain research field, particularly to the decentralized aspects of blockchain governance research. This research also reveals that blockchain governance does not receive the attention it should as a large majority of ecosystems have not disclosed their governance intentions. The results can be utilized as a framework for future research. The results can also be helpful for industry when designing and developing governance systems.

Rock Paper Scissors is one of the most popular games in the world, because of their easy and simple way to play among young and elderly people. The point of this game is to do the draw or just to find out who loses or wins. The pandemic conditions made people unable to meet face-to-face and could only play this game virtually. To carry out this activity in a virtual way, this research facilitates a model in the form of image classification to distinguish the hand gestures s in the form of rock, paper, and scissors. This classification process utilizes the Convolutional Neural Network (CNN) method. This method is one type of artificial neural network in terms of image classification. CNN uses three stages, namely convolutional layer, pooling layer, and fully connected layer. The implementation of this method for hand gesture classification in the form of rock, scissors, and paper images in this study shows an increased average accuracy towards the previous study from 97.66% to 99%.

This paper explores the development of policies dealing with teachers' digital competence in Norway, Ireland and Spain. Using a documentary research approach, the study analysed relevant policy documents from each country over a thirty-year period to the present day. Analysis of the documents highlights historical differences and similarities in how technology in education policies developed during that period and differences in how teacher education was addressed. Despite these differences, the analysis indicates a convergence in recent years towards a common understanding and the importance of teachers' digital competence influenced by supranational frameworks. The paper discusses the potential influence of these supranational frameworks and examines the opportunities and challenges of this policy convergence.

The development of electronic media over the last 10-15 years is briefly reviewed, and trends and developments in paper use in relation to electronic media and other technological developments are explained. Comparisons are drawn between electronic media and paper for information transmission and human use, and the environmental pressures on the paper industry are discussed. (Author/MAB)