Institutional Collaboration Research Articles

Bibliometric Analysis of the Worldwide Scholarly Output on Artificial Intelligence in Scopus

Introduction: the use of bibliometric analyses is useful to gain insight into the development, trends, and impact of scholarly output on artificial intelligence (AI) in several fields. Objective: to characterize the worldwide scholarly output on AI in Scopus in the period 2013-2022. Method: a descriptive observational bibliometric study was carried out. The study population consisted of the 776,961 documents identified using SciVal. The following variables were studied: number of documents (Ndoc), year of publication, annual variation rate (AVR) of the scholarly output, type of document, source, number of citations (Ncit), field-weighted citation impact (FWCI), author(s), author-level h-index, institution, country, type of collaboration, and keyphrases. Results: the scholarly output showed a steady quantitative increase during the period studied, with a positive AVR. Conference papers (68,5 %) and articles (26,5 %) were the main types of documents. Neurocomputing led the list of sources in both Ndoc (12,989) and Ncit (351,837). The highest FWCI (3.02) corresponded to Proceedings – IEEE International Conference on Robotics and Automation. China, the United States and India were the countries with the highest Ndoc by year of publication. Institutional collaboration was the most common (46,7 %) type of collaboration. The most prominent keyphrases were: Robot, Artificial Intelligence, Deep Learning, Convolutional Neural Network and Robotics. Conclusions: the scholarly production analyzed is characterized by its constant quantitative growth and is mostly represented by conference papers. Productivity and impact indicators based on citations show remarkable results. The science produced was led by China, and scientific collaboration played a relevant role.

Value creation for online collaboration between doctors and medical institutions: empirical evidence from online health communities

PurposeDoctor–medical institution collaboration (DMIC) services are an emerging service mode in focal online health communities (OHCs). This new service mode is anticipated to affect user satisfaction and doctors' engagement behaviors. However, whether and how DMIC occurs is still ambiguous because the topic is rarely examined. To bridge this gap, this study explores doctors' participation in DMIC services and its effects on their online performance, as well as its effect on patients' evaluation of them on OHC platforms.Design/methodology/approachThe authors propose hypotheses based on structural holes theory. A unique dataset obtained from one of the most popular OHCs in China is used to test the hypotheses, and difference-in-differences estimation is adopted to test the causality of the relationship.FindingsThe results demonstrate that providing DMIC services improves doctors' online consultation performance and patients' evaluations of them but has no significant effect on doctors' knowledge-sharing performance on OHC platforms. Doctors' knowledge-sharing performance and consultation performance mediate the relationship between participation in DMIC services and patients' evaluation of doctors. Regarding doctors' participation in DMIC services, its impact on doctors' consultation performance and patients' evaluation of them is weaker for doctors with higher professional titles than for doctors with lower professional titles.Originality/valueThe findings clarify the value creation mechanisms of online collaboration between doctors and medical institutions and thereafter facilitate doctors' participation in DMIC services and enhance the sustainable development of OHCs.

Bibliometric Insights into the Implications of Urban Built Environment on Travel Behavior

With the rapid pace of global urbanization, understanding the impact of the urban built environment on travel behavior has become increasingly significant for developing sustainable and efficient transportation systems. This study conducts a bibliometric review of related research over the past two decades (1997–2023), utilizing 1745 publications from the Web of Science database through network analysis and content analysis. It provides a comprehensive quantitative analysis encompassing publication trends, national and institutional collaborations, and keyword evolution clustering perspectives. The results reveal that (1) academic interest in exploring the implications of the urban built environment on travel behavior has grown markedly, especially in the past decade, with emerging technological approaches and research perspectives; (2) the USA, P.R.CHINA, and the United Kingdom are major research forces in this field, with notable contributions from research institutions in P.R.CHINA and the USA; (3) the “Transportation Research Part” series journals demonstrate extensive influence both in terms of publication count and citation count; (4) through keyword co-occurrence network analysis, three development stages along with five major clusters were identified: travel behavior modeling and public health, active transportation and sustainable development, urban development and carbon emissions, land use and transportation integration, and urban transportation systems and machine learning. Overall, sustained research remains warranted within this field, particularly focusing on selecting new built environment metrics while integrating emerging technologies into travel behavior modeling frameworks. The insights from this study have implications for urban transportation planning and policy, offering guidance on future research directions and policymaking.

The Mediating Role of Transformational Leadership in the Relationship Between Institutional Pressures and Collaboration with Commercialization of University Research Output: A Pilot Study

The increasing recognition of universities as a seedbed of new knowledge and technology to boost economic growth, technological improvements, and competitiveness has led to the notion of commercialization of university research outputs to gain traction and popularity in different fora. Despite the significance attached, the commercialization of research outputs and innovation has remained low in universities. The purpose of this study is to lay emphasis on Uganda’s Universities in light of the examination of how institutional pressures and collaboration influence the commercialization of university research output with the mediating role of transformational leadership. Data was collected using a questionnaire from 115 university staff in the 23 chartered universities in Uganda. The paper adopted Exploratory Factor Analysis (EFA) for instrument validity and reliability, and Structural Equation Modeling (SEM) for testing and estimating relations between the commercialization of university research outputs with its antecedents of institutional pressures, collaboration and transformational leadership. The results indicate that the operational measures developed for research commercialization, along with its antecedents satisfy the reliability and validity tests. The proposed measurement scale for research commercialization with its antecedents (institutional pressures, collaboration and transformational leadership) will help practitioners to measure research commercialization performance in universities. The findings demonstrated that transformational leadership mediates the relationship between institutional factors and collaboration with the commercialization in Ugandan Universities.

Influence of Technology Support, Digital Literacy, and Virtual Team Leadership on Maya Team Collaboration

In these lately years, teamwork already got considered to be matters more for every kind of organization. Working in teams helps people to be more flexible, productive, and creative than working alone, as well as to keep their jobs and be happier at work. This research was done on purpose to help defining the influence of digital literacy, technology support, and virtual team leadership toward virtual team collaboration in tertiary institutions in influencing the way virtual teams work together. In this study, the questionnaire used a Google Form, which was sent via email to the appropriate email address. The findings reveal that the three antecedent variables significantly influence virtual cooperation by 62.3%. This research theoretically has offered a virtual collaboration model that has been evaluated empirically in the field. In addition, this model has enlarged the elements that influence virtual team collaboration from several previous studies. The findings of this study apply to administrators in tertiary institutions who seek to increase collaboration between lecturers, especially in the fields of teaching, research, and publication. In this context, the antecedents of this virtual collaboration model can be considered

Stakeholder mapping: regional comparisons in adaptation implementation

Abstract Background Health adaptation planning is rapidly progressing but implementing actions on key health and climate change priorities is slow. We summarise and compare findings on progress in health adaptation in Europe and East and Southern African regions. Methods A desk-review of national health adaptation plans and strategies (NAPs) was conducted in 20 European countries and 14 East and Southern African countries to identify adaptation priorities. Key informant interviews were conducted with government representatives, non-governmental organizations, development partners, and civil society organisations. Participants were identified through partner networks and snowballing. The WHO framework was followed in mapping stakeholders’ interests, knowledge, and influence on health adaptation. Interview responses were transcribed and analysed in Nvivo to identify key themes. Results 34 NAPs were reviewed (20 in Europe, 14 in Africa). Interviews were conducted with 48 stakeholders (32 in Europe, 16 in Africa). Across Europe, more than half of the countries have policies addressing infectious diseases (12) and heat-related risks (14). In Africa, infectious diseases were a national priority for all countries, but heat management plans were largely absent (only one nation had a heat management plan). In both regions, adaptation action was driven by national policies, high stakeholder interest and knowledge, and the presence of focal points or joint working groups. Key barriers included: limited interagency or institutional collaborations, a need for evidence-based practice-oriented research, and funding for health adaptation activities. Conclusions There are similarities in drivers and barriers to health adaptation in Europe and Africa. Progress on implementation is uneven, with heat-health planning largely lacking in East and Southern Africa.

Visualization and bibliometric analysis of occupational exposure among nurses in Asia

BackgroundOccupational exposure is of increasing concern, posing a serious threat to nurses, especially in the event of a public health emergency. Bibliometrics sheds novel light on the current state of research and factors influencing nurses' occupational exposures, illuminating hot topics and trends in the literature. Bibliometrics is essential to analyze the potential harm to nurses in Asia. MethodsData were extracted from the Web of Science Core Collection on August 6, 2022 with the following search terms: TS= (nurses) AND (TS= (occupational exposure OR occupational health)). CiteSpace and VOSviewer were used to analyze national and institutional collaborations, reference clustering, citations and co-citations of journals and keyword bursts, and HistCite was used to analyze the citation historiography map. To analyze the data and generate statistical charts, Origin and Microsoft Excel were utilized. ResultsA total of 1448 studies on nurses' occupational exposure in Asia were identified. China Medical University had the most publications among Asian institutions, and China had the largest share among Asian countries. Most articles on nurses' occupational exposure in Asia were in the Journal of Occupational Health, and the journal with the highest impact factor was the Journal of Nursing Management. The COVID-19 outbreak caused a substantial shift in the direction of studies on nurses' occupational exposure in Asia. Mental health is a current hot topic, while sharps injuries and bodily fluid exposure are long-term priorities for attention. ConclusionsThe hotspots of research on nurses' occupational exposure in Asia focus on mental health, burnout, blood exposure, infection, and sharps injury. Due to the COVID-19 pandemic, recent research has concentrated on personalized mental health care and the development of protective equipment, and cross-disciplinary collaboration may be a new trend in the future.

How do we detect and respond to clinical deterioration in hospitalized children? Results of the Pediatric Care BefOre Deterioration Events (CODE) survey.

Systems to detect and respond to deteriorating hospitalized children are common despite little evidence supporting best practices. Our objective was to describe systems to detect/respond to deteriorating hospitalized children at Pediatric Resuscitation Quality Collaborative (pediRES-Q) institutions. We performed a cross-sectional survey of pediRES-Q leaders. Questionnaire design utilized expert validation and cognitive interviews. Thirty centers (88%) responded. Most (93%) used ≥1 system to detect deterioration: most commonly, early warning scores (83%), watcher lists (55%), and proactive surveillance teams (31%). Most (90%) had a team to respond to deteriorating patients and the majority of teams could be activated by clinician or family concerns. Most institutions (90%) collect relevant data, including number of rapid responses (88%), arrests outside intensive care units (100%), and serious safety events (88%). In conclusion, most pediRES-Q institutions utilize systems to detect/respond to deteriorating hospitalized children. Heterogeneity exists among programs. Rigorous evaluation is needed to identify best practices.

Bibliometric analysis of scientific production on university social responsibility in Latin America and the Caribbean

Objective: To evaluate the scientific production on university social responsibility (USR) from institutions in Latin America and the Caribbean. Methods: A bibliometric analysis was conducted on documents published in indexed journals in the Scopus database from its inception until April 2023. Eligible documents included those on USR describing experiences carried out by universities in Latin America and the Caribbean. The number of articles per author, average authors per article, average citations per article, and the number of documents with one or more author were described. Bibliometric indicators regarding authors per article, co-authors per article, and institutional collaboration were presented. Bibliometric networks were constructed based on bibliographic coupling analysis of documents by countries and term co-occurrence in titles and abstracts. Results: Of a total of 4075 documents retrieved from Scopus, 150 were included. Documents published between 1997 and 2023 were identified, with an average annual growth rate of 2.7%. A total of 439 authors were identified, 18 articles had a single author, and an average of 0.3 articles per author and a co-authorship index of 3.13 were found. The percentage of international collaborations was 30.7%. Brazil had the highest proportion of publications (26.4%), followed by Chile (17%) and Colombia (13.2%). Opción and Revista de Ciencias Sociales were the journals with the highest number of articles published (13 each). In the analysis of term co-occurrence, recent years showed an increase in the use of terms related to e-learning, information and communication technologies, virtual education, COVID-19, sustainable development goals, and URSULA (initiative on USR in institutions in Latin America and the Caribbean). Conclusions: A growth in scientific production on USR in Latin America and the Caribbean was identified. The interest in USR documents in recent years has been focused on COVID-19 and the challenges of virtual education and sustainable development.

Social Reporting of Islamic Banks in Malaysia: 3 Stages Approach.

This study examines the social disclosure by Islamic banks in Malaysia. The study explores the commitment of Islamic banks towards wider stakeholders in 7 dimensions (Shariah/Social Internal/Social External/ Environmental/Shariah Governance/Governance/Ethic) SEGE. The approach taken uses an in-depth 3-Stages content analysis (3-level Score disclosure) of 18 Malaysian Islamic banks’ annual reports for a period of 5 years (2010-2014). This ‘triple method’ was made possible using a special design manual sheet (Quality Score & Volume). The top 5 performing Islamic banks in disclosure quality were dominated by Malaysian Islamic banks. Furthermore, the top 10 performing Islamic banks ranking in disclosure movement from ordinary (index) to quality (3-level score) were much steadier in Malaysia. In addition, religiosity and regulatory quality seem to have influenced SEGE disclosure. In short, the Islamic banks that operate in environments with supportive governing bodies, collaborative institutions, sustainable talent management systems and moderate values tend to perform comparatively better in their SEGE disclosure. This research may draw attention to regulators and non-governmental organisations to produce a set of SEGE disclosure standards for Islamic financial institutions. Furthermore, this research might help managers, Board of Directors, and Shariah Supervisory Boards to have a greater view on the role of Islamic banks in social reporting initiatives. The study fills gaps in Islamic accounting literature by having an in-depth examination of the Malaysian model of Islamic banking.

Research Status and Trends in Retirement Communities: A bibliometric Analysis

In the context of global aging, the study of retirement communities has attracted the attention of scholars. However, there needs to be more systematic bibliometric studies. This study aims to sort out the current research status of the retirement community and explore research trends. This study adopts a bibliometric approach, using the Web of Science Core Collection (WoSCC) as a database, VOSviewer to analyze research collaboration networks, and CiteSpace to analyze keyword co-occurrences. The study’s conclusion showed that the significant scholars are Ayalon, Resnick, Bennett, Royall, Courtin, and Knapp. The major journals are the Journal of the American Geriatrics Society, Gerontologist, and Journal of Applied Gerontology.The main research areas are Geriatrics Gerontology, Public Environmental Occupational Health, and Nursing. The primary research countries are the United States, Canada, and China, with the United States leading the way. The study found that the author’s research collaboration network was more active, with Bolling as the bridge author. Institutional collaboration networks were also active, with the University of Washington’s research collaboration network being the most prominent. The research collaboration networks between countries (regions) needed to be more expensive. There are three possible research trends in retirement community research: (1). naturally occurring retirement community (NORC); (2). aging in place; (3). continuing care retirement community (CCRC); (4). physical activity.

Actividad científica sobre Mini-Clinical Evaluation Exercise (mini-CEX) en áreas de ciencias de la salud: un estudio bibliométrico

IntroductionThe Mini Clinical Evaluation Exercise is an educational tool that allows the evaluation of various clinical competencies and work scenarios. The aim of this study was to analyze the bibliometric characteristics and impact of the scientific production of Mini-Clinical Evaluation Exercise (mini-CEX) in the health sciences. MethodsBibliometric study whose search source was Scopus, the query was performed on May 8, 2023, considering a search strategy consisting of Boolean operators and key terms. The SciVal tool and the RStudio Bibliometrix module were used to estimate and visualize the bibliometric parameters. ResultsWeller and Chen were representative authors and showed dissemination connections with the main countries (Australia and China). The journal Education for Primary Care (Q2) was the most productive. Among the subcategories, General Medicine (34 publications) and Anaesthesiology and Pain Medicine (21.1 citations per publication) had more publications and higher impact, respectively. Most manuscripts are published in Q3 quartile journals (30.9%), followed by Q1 quartile (25.5%); moreover, in the period 2017 to 2021 there was an increase in publications (50 articles). Publications with institutional were more frequent, but those with international collaboration had more citations per publication. ConclusionsIn the last five years there is an increase in the number of published research on mini-CEX, and the main journal for dissemination was Education for Primary Care. National and institutional collaboration were the most frequent; in addition, Australia, China and the United States led the scientific activity in this field.

Embedding Digital Data Storytelling in Introductory Data Science Course

With the emergence of data science as an inherently multidisciplinary subject, there is increasing demand for graduates with well-rounded competence in computing, analytics, and communication skills. However, in conventional education systems, computing & quantitative, and communication skills are often taught in different disciplines. Data storytelling is constructing and presenting data stories to highlight the analytical insights to achieve the communication goals to a specific audience. Digital data storytelling leverages digital storytelling techniques and best practices in communication to deliver stories that can be shared in digital formats to a wide audience. In this paper, we describe and reflect on a semester-long project-based learning pilot using Digital Storytelling as a framework to allow students to explore topics themed around human flourishing and sustainability with the end goal of constructing data stories delivered in digital or video format (i.e., Digital Data Storytelling). The pilot work was conducted in an introductory data science course at a 4-year Minority Serving Institution in collaboration with students studying non-STEM disciplines at a partner community college. Our pilot demonstrates the potential benefit of this sustainability-aware Project-Based Learning design in raising students’ awareness of sustainability issues, increasing confidence in cross-disciplinary communication competency, and at the same time deepening their understanding of data science concepts. We further reflect on the significant role of an effective program model as well as challenges and opportunities for building transdisciplinary communication competency to prepare for a diverse data science workforce.

The power of partnership: Exploring collaboration dynamics in U.S. transplant research

IntroductionCollaboration is one of the hallmarks of academic research. This study analyzes collaboration patterns in U.S. transplant research, examining publication trends, productive institutions, co-authorship networks, and citation patterns in high-impact transplant journals. Methods4,265 articles published between 2012 and 2021 were analyzed using scientometric tools, logistic regression, VantagePoint software, and Gephi software for network visualization. Results16,003 authors from 1,011 institutions and 59 countries were identified, with Harvard, Johns Hopkins, and University of Pennsylvania contributing the most papers. Odds of international collaboration significantly increased over time (OR 1.03; p ​= ​0.040), while odds of citation in single-institution collaborations decreased (OR 0.99; p ​= ​0.016). Five major scientific communities and central institutions (Harvard University and University of Pittsburgh) connecting them were identified, revealing interconnected research clusters. ConclusionsCollaboration enhances knowledge exchange and research productivity, with an increasing trend of institutional and international collaboration in U.S. transplant research. Understanding this community is essential for promoting research impact and forming strategic partnerships.

Probabilistic Forecasting of Bus Travel Time with a Bayesian Gaussian Mixture Model

Accurate forecasting of bus travel time and its uncertainty is critical to service quality and operation of transit systems: it can help passengers make informed decisions on departure time, route choice, and even transport mode choice, and it also support transit operators on tasks such as crew/vehicle scheduling and timetabling. However, most existing approaches in bus travel time forecasting are based on deterministic models that provide only point estimation. To this end, we develop in this paper a Bayesian probabilistic model for forecasting bus travel time and estimated time of arrival (ETA). To characterize the strong dependencies/interactions between consecutive buses, we concatenate the link travel time vectors and the headway vector from a pair of two adjacent buses as a new augmented variable and model it with a mixture of constrained multivariate Gaussian distributions. This approach can naturally capture the interactions between adjacent buses (e.g., correlated speed and smooth variation of headway), handle missing values in data, and depict the multimodality in bus travel time distributions. Next, we assume different periods in a day share the same set of Gaussian components, and we use time-varying mixing coefficients to characterize the systematic temporal variations in bus operation. For model inference, we develop an efficient Markov chain Monte Carlo (MCMC) algorithm to obtain the posterior distributions of model parameters and make probabilistic forecasting. We test the proposed model using the data from two bus lines in Guangzhou, China. Results show that our approach significantly outperforms baseline models that overlook bus-to-bus interactions, in terms of both predictive means and distributions. Besides forecasting, the parameters of the proposed model contain rich information for understanding/improving the bus service, for example, analyzing link travel time and headway correlation using covariance matrices and understanding time-varying patterns of bus fleet operation from the mixing coefficients. Funding: This research is supported in part by the Fonds de Recherche du Quebec-Societe et Culture (FRQSC) under the NSFC-FRQSC Research Program on Smart Cities and Big Data, the Canadian Statistical Sciences Institute (CANSSI) Collaborative Research Teams grants, and the Natural Sciences and Engineering Research Council (NSERC) of Canada. X. Chen acknowledges funding support from the China Scholarship Council (CSC). Supplemental Material: The e-companion is available at https://doi.org/10.1287/trsc.2022.0214 .

Assessment of Pattern, Distribution, and Determinants of Ocular Morbidity among Residents Seeking Care at Medical Camps in Mathare Slums, Nairobi County, Kenya

Ocular morbidities are considered a major contributor of disabling conditions in both low and high resourced countries. The overall global burden of eye diseases is estimated at 61.4 million Disability Adjusted Life Years (DALYs) which accounts for 4% of total Disability Adjusted Life Years. There have been strong institutional collaborations on attaining Vision 2020-right to sight, which is a global initiative aimed at reducing preventable level of blindness has enhanced institutional collaboration in fight against blindness. Some eye problems that affects people quality of life but do not result in blindness have been ignored in favor of those causing visual impairment. The residents of Mathare slums in Nairobi County, Kenya, seeking care at medical camps, were subjected to an objective eye examination aimed at ascertaining ocular morbidity patterns, causes, and distribution. A descriptive community-based cross-sectional study design was employed. The study persons were patients over ten years who presented with eye-related constraints at the medical camps. The period of study range was between October and November 2022. Results were displayed using descriptions and visualization techniques after data was imported into Excel 2010 for analysis. Results on the pattern indicated a majority of respondents (34.44%) were diagnosed with conjunctiva diseases. This was followed by 30.29% being diagnosed with refractive errors, 11.62% with the cornea, and 8.30% with lens diseases. On distribution, Conjunctiva disease (34.44%) affected most of the respondents, and the majority of these respondents (19.5%) aged between 10 and 20 years affirmed to have atopic Conjunctivitis. A refractive error also commonly affected 30.29% of the participants, with Presbyopia (7.46%) comprising the highest form of refractive error. Cataracts (7.05%) and dry eye syndrome (6.22%) were more evident among patients aged above 40 years. Most of the respondents (43.5%) were found to have pathologies resulting from developmental causes, followed by allergies (24.1%) and refraction errors (10.4%). Hypertension was the most common comorbidity in Mathare slum affecting 12.4% of the respondents; this was followed by peptic ulcer disease (5.4%), diabetes (4.6%), arthritis (2.5%), and lastly, HIV (0.41%). Results showed that ocular Morbidity in the Mathare slum was not associated with determinants like house structure material, number of house rooms, household population, and cooking energy source. It is recommended that health institutions within the Mathare slum and similar contexts be fully equipped with essential eye medications and integrate eye health education in the health facilities. Physical exercise, healthy eating, and medical approved supplements are also recommended to help prevent metabolic disorders and improve age-related eye disorders. Clinical control of existing comorbidities will aid in reducing some eye diseases like cataracts and diabetic retinopathy.

Mapping Research Trends in Learning IPS of Elementary School: A Bibliometric Analysis

This study aims to achieve the following objectives: 1) to analyze the publication trends in the field of social studies learning; 2) to identify the journals with the highest number of publications in the area of social studies learning; 3) to assess the productivity of researchers in the field of social studies learning and their contributions to publications; 4) to examine the extent of institutional collaborations in producing publications in social studies learning; 5) to explore the subjects covered in social studies learning publications and their development over time; and 6) to conduct a bibliometric analysis using co-word analysis to map the development of publications in social studies learning based on keywords. The research data was collected through a comprehensive Scopus search using keywords such as learning, social education, and primary school, focusing on article titles, abstracts, and keywords from the period 2013 to 2022. The research trends in social studies learning were analyzed using Vos Viewer software. The findings revealed that the highest number of research publications in the field of social studies learning, indexed in Scopus, was observed in 2022, with 103 publications (14.94%). Most international publications in this field were found in Social Work Education journals, with the United States being the leading contributor. The co-word analysis of the social studies learning field identified eight clusters encompassing 88 themes associated with its development.

Advancements in Rumor Detection Research Based on Bibliometrics and S-curve Technology Evolution Theory

With the rapid development of social media, new opportunities have been provided for the generation and dissemination of online rumors, making systematic study of rumor detection of great significance for the control and governance of internet rumors. Addressing the limitations of past review studies on rumor detection which were characterized by a single perspective, reliance on subjective judgment, and lack of technological evolution theory, this paper reviews 983 rumor detection articles in the SCI-EXPANDED, SSCI, CPCI-S, CPCI-SSH, CCR-EXPANDED, and IC databases of the Web of Science. Utilizing Citespace and VOSviewer for visual analysis of the articles, and adopting bibliometric theories like network analysis and topic evolution analysis, this study identifies core research groups in the field of rumor detection based on author collaboration network and institution collaboration network. Through high-frequency keyword clustering graph and keyword co-occurrence graph, the study unveils topic associations and cluster structures among keywords, explicates research hotspots in the field of rumor detection, and conducts a fine-grained critical comparative analysis. According to keyword time graph, keyword bursts table, and trends in the number of publications in hot technology fields, combined with the S-curve technology evolution theory, the study discerns the life cycle and research trends of technologies in the rumor detection field. Compared to existing literature reviews, this paper is the first to propose integrating bibliometrics and S-curve technology evolution theory to reveal the state of relevant technologies and research frontiers.

필리핀 교원양성대학의 세계시민교육 사례 연구

This study analyzes the case of global citizenship education (GCED) in teacher education colleges in the Philippines and draws out its features to find implications for GCED in teacher education colleges. To this end, Philippine Normal University (PNU), a leading participant in GCED in the Philippines, was selected and analyzed in terms of the program’s purpose and background, curriculum and research, and management system. Analysis shows that the PNU has been actively engaged in GCED based on its historical background in women and human rights studies. The PNU's GCED program mainly adopted the concept of GCED presented by UNESCO while emphasizing the behavioral dimension. This case demonstrates that the areas of GCED to which teacher education colleges can contribute are diverse, encompassing pre-service and in-service teacher education and research. Teacher education colleges can play a leading role in expanding GCED in a country through their active engagement in the agenda demonstrated by institutional leadership and collaboration with international organizations.

Global trends and future prospects of COVID-19 and physical activity: Bibliometric analysis.

Containment measures implemented during the COVID-19 pandemic have led to drastic changes in daily life and effects on health behaviors such as decrease in physical activity (PA) levels. This study aims to present a general framework to researchers on COVID-19 and PA research in relation with changes in studies within years, current trend topics, gaps in the research field and possible future trends. A total of 1819 articles indexed in the WoS core collection database were analyzed according to publication year, citation, country and institution collaborations, coword, co-citation networks, concept-topic trends and topic clusters using bibliometric analysis. The most productive country was the USA(n = 335), and the most productive institution was University of London in UK (n = 38). The most cited publication was the study by Ammar et al, (2020) (n = 188). In 2020, the most popular topics were PA and health meanwhile in 2021 behavior, lifestyle, social media and in 2022 habits, long COVID, sleep quality topics were in the foreground. Studies in 2023 focus on how COVID-19 affects PA habits and the associations between COVID-19-based anxiety and sleep patterns. These studies focused especially on effects of sport participation on life quality, diet, depression, mental health on young athletes, children, adolescent persons, older adult groups. An important gap in the study area is research on effect of changing lifestyle due to pandemic on individuals and the society during the Post COVID-19 period. If benefits of PA will not be limited to only physical benefits and psychological emotional, cognitive and social benefits are also taken into consideration, it is important that researchers conduct long-term and widescale observations.