Collaborative Networks Research Articles

Global research trends of BRUE (brief resolved unexplained event) or formerly ALTE (apparent life-threatening event): A comprehensive visualization and bibliometric analysis from 1988 to 2024.

This study aimed to conduct a comprehensive bibliometric analysis of the literature on Brief Resolved Unexplained Event (BRUE) and its predecessor, Apparent Life-Threatening Event (ALTE), from 1988 to 2024, in order to identify research trends, collaborative networks, and areas of focus in this field. We analyzed articles indexed in Scopus and Web of Science using various bibliometric indicators. The visualization of bibliometric networks was performed using VOSviewer and bibliometrix. Publication trends, citation analysis, co-authorship networks, and keyword co-occurrence were examined. A total of 270 articles were analyzed, of which 85.56% were research articles and 14.44% were review articles. The number of publications showed a significant increase over time (r=0.73, p<0.001). The United States emerged as the leading contributor with strong international collaborations. The most prolific journals were Pediatrics, Pediatric Emergency Care, and Journal of Pediatrics. Keyword analysis revealed a shift from terms associated with life-threatening events (e.g., SIDS, sleep apnea syndrome) to more specific terminology (BRUE) and methodological keywords over time. However, the 2016 redefinition of ALTE to BRUE did not result in a corresponding increase in publications. This bibliometric analysis provides valuable insights into the evolution and current state of BRUE/ALTE research. The findings highlight the field's progression toward more precise, evidence-based approaches. The identified research trends and gaps, particularly the limited studies from developing countries, offer direction for future research. These results can inform clinical practice, guide research priorities, and support the development of standardized guidelines for BRUE/ALTE management.

Reconstructing professional identity through collaboration in pluralistic approaches

ABSTRACT This study investigates the reconstruction of professional identity among three experienced language teacher educators through collaboration in pluralistic approaches. Framing identity within a narrative-based understanding and exploring the interactional aspects of collaboration through the Complex Dynamic Systems Theory (CDST) lens, the study moves beyond traditional narrative inquiries in teacher education. Employing an autobiographical narrative approach, the study metaphorically represents professional identity reconstruction as complex dynamic systems. Grounded in autobiographical accounts from a year-long international collaboration on developing teacher competencies for pluralistic approaches, the study identifies emerging themes such as the role of peer collaboration, digital tools, and contextual influences in identity transformation. Findings suggest implications for professional development through collaborative and international networks in language education. The study contributes to understanding language educator identity as a dynamic, ongoing interpretive process in collaborative settings, offering insights for teacher education.

Development of Management Model to Promote Dance Sport in Universities

Background and aim: Dance Sport had its significant aesthetic value and the advantages of development to fulfill the specific needs of all-around education in colleges and universities in the future. In recent years, more and more colleges and universities have set up Dance sport in P.E. courses in China. This research aimed to develop a management model to promote dance sports in universities. Methodology: The samples were 252 students and 150 teachers in the three universities located in Jiang Xi City. They were sampling by simple random. The experts for consensus by Delphi were 21 persons and the 11 stakeholders were group discussion by connoisseurship method. The research procedure consisted of 9 experts to interview and collect opinions and suggestions to develop concepts and suggestions. The semi-structured interviewing form, questionnaire to collect data from students and teachers, questionnaire for consensus experts by Delphi, and form to conclude stakeholders’ discussion were used as research tools. Five scholars were experts to validate the questionnaires to collect data from students and teachers and got IOC = 0.90 (.60-1.00), and the questionnaire for Delphi was 0.95 (0.80-1.00). Data were analyzed by descriptive statistics and content analysis. Results: 1) Set a plan to drive the dances, and dance sports in universities, schools, and communities, 2) establish a collaborative network within universities and outside universities to run the dance sports promotion model 3) The university should consider putting dances and dance sport into the curriculum, establish the extra curriculum, student practicum in dance and dance sport, and special project for dance athlete students’ admission, teachers’ development in dance teaching and training. 4) Provided various levels of dance and dance sports teaching and practice for students and communities, 5) Organized competitions in universities, inter-university, and open to the community. Conclusion: The management model to promote dance sports in university should be to develop a curriculum by putting dances and dance sports as required course and elective courses both in major physical education and non-major programs. Develop teachers and students to be leaders. Provide dance clubs for students to operate dance activities in the university. Support fund, facility, and equipment. Organize cooperative network among schools, universities, and community. Support schools in teaching and organizing competitions dances and dance sports competitions on campus, an inter-university game open competition to the public.

Securing the Future of E-Commerce: How Scalable Software Transforms Online Shopping

The exponential growth of e-commerce has necessitated robust security measures to protect digital transactions and consumer data. This technical exploration delves into how scalable software architectures revolutionize online shopping security through advanced encryption, authentication, and fraud prevention mechanisms. The transformation of traditional security approaches through zero-trust initiatives, multi-factor authentication, and microservices architecture demonstrates significant improvements in threat detection and response capabilities. Machine learning and artificial intelligence enhance real-time fraud detection, enabling instantaneous transaction analysis while maintaining seamless customer experiences. Behavioral biometrics, device intelligence, and collaborative threat detection networks further strengthen the security infrastructure. The implementation of comprehensive security frameworks, including tokenization and encrypted payment processing, not only safeguards sensitive data but also builds consumer trust. Enhanced compliance measures and transparent security policies establish a foundation for sustainable e-commerce growth, while adaptive security systems continuously evolve to counter emerging threats, ensuring the resilience of digital retail platforms in an increasingly complex threat landscape.

Comprehensive bibliometric analysis of pharmacotherapy for bipolar disorders: Present trends and future directions.

Bipolar disorder (BD) is a severe mental illness characterized by significant mood swings. Effective drug treatment modalities are crucial for managing BD. To analyze the current status and future trends of global research on BD drug treatment over the last decade. The Web of Science Core Collection database spanning from 2015 to 2024 was utilized to retrieve literature related to BD drug treatment. A total of 2624 articles were extracted. Data visualization and analysis were conducted using CiteSpace, VOSviewer, Pajek, Scimago Graphica, and R-studio bibliometrix to identify research hotspots, key contributors, and future trends. The United States, China, and the United Kingdom have made the most significant contributions to research on BD drug treatment and formed notable research collaboration networks. The University of Pittsburgh, Massachusetts General Hospital, and the University of Michigan have been identified as the major research institutions in this field. The Journal of Affective Disorders is the most influential journal. A keyword analysis revealed research hotspots related to clinical symptoms, drug efficacy, and genetic mechanisms. A citation analysis identified the management guidelines published by Yatham et al in 2018 as the most cited paper. This study provides a detailed overview of the field of BD drug treatment, highlighting key contributors, research hotspots, and future directions. The study findings can be employed as a reference for future research and policymaking, which may enable further development and optimization of BD pharmacotherapy.

Response to neoadjuvant chemotherapy leads to better survival outcomes in upper tract urothelial carcinoma.

To evaluate the benefit of neoadjuvant chemotherapy (NAC) for patients with high-risk upper tract urothelial carcinoma (UTUC) using a large, well-curated multi-institutional database. This study was a multi-institutional retrospective analysis conducted by the UTUC Collaborative Network (UCAN), combining data from 2276 patients with UTUC who underwent radical nephroureterectomy at seven high-volume tertiary care centres in the United States. The UCAN data were analysed to evaluate the impact of response to NAC on survival outcomes in patients with UTUC. A total of 378 patients in the UCAN database underwent NAC. On final surgical pathology, 101 patients (26.8%) had ≤ypT1N0 disease and were defined as NAC treatment responders. Patients who responded to NAC had significantly longer overall survival (OS) and progression-free survival (PFS) compared to non-responders. At 5 years post-surgery, 81.5% of responders were alive compared to 59.8% of non-responders. The median OS and PFS times among non-responders were 7.0 years (95% confidence interval [CI] 5.6-9.7) and 6.0 years (95% CI 4.6-9.3) respectively, while the median OS and PFS were not reached among responders. Limitations of this study include its retrospective design, heterogeneity in chemotherapy regimens, and the absence of clearly defined patient selection criteria for treatment. These data suggest that NAC can play a pivotal role in the treatment of well-selected UTUC patients who respond positively. Non-responders had clearly inferior outcomes. More work is needed to find predictors of response which can improve patient selection.

The Trends of Peace Education Research in Indonesia: A Bibliometric Analysis Aligned with Quality of Education

Introduction: This bibliometric analysis examines the trends and development of peace education research in Indonesian universities from 2014 to 2024. Utilizing data from reputable databases such as Web of Science and Scopus, the study identifies key characteristics of published works, including authorship, subject areas, and trends in scientific production. The findings reveal a growing interest in peace education, with a significant increase in publications over the years. The research primarily focuses on the religious and philosophical foundations of peace education in Indonesia, emphasizing the influence of cultural values on this field. The analysis also identifies prominent authors, influential journals, and collaborative networks within the field. Finally, the study concludes by highlighting key themes and trends in Indonesian peace education research, emphasizing the importance of character education, diversity, religious moderation, conflict resolution, and youth engagement. These findings contribute to a more nuanced understanding of the evolving landscape of peace education research in Indonesian universities and offer insights that will inform future research and practice. Objective: This study conducts a bibliometric analysis to explore trends and developments in peace education research at Indonesian University from 2014 to 2014. Theoretical Framework: The stuudy is grounded in key theories and models relevant to peace education, focusing on religious, philosophical, and cultural influences that shape this field in Indonesia. Method: The study utilizes a bibliometric approach, analyzing data from databases such as Web of Science and Scopus. It examines authorship, subject areas, and trends in scientific production through a comprehensive review of published works from 2014 to 2024. Results and Discussion: Findings show a significant increase in peace education publications over the decade, highlighting key themes like character education, diversity, religious moderation, conflict resolution, and youth engagement. The discussion contextualizes these findings within the theoretical framework, identifying implications and limitations. Research Implications: The study offers practical and theoretical insights, particularly on how cultural values inluence peace education in Indonesia. It provides valuable guidance for future research and educational practices. Originality/Value: The research contributes to the literature mapping out the evolving landscape of peace education in Indonesia, identifying influential authors, journals, and collaborative networks. It underscores the growing importance of peace education themes in Indonesia academic discourse.

BIBLIOMETRIC ANALYSIS OF RISK TOLERANCE: GLOBAL COLLABORATION AND THEMATIC EVOLUTION

This study aims to analyze the development of research on risk tolerance over the past two decades, focusing on collaborative networks among authors and countries, thematic evolution, and new research opportunities. The method used is bibliometric analysis based on R software and VOS Viewer. The research population includes 833 articles related to risk tolerance identified from the Scopus database. The study was conducted through network visualization, thematic clustering, and thematic evolution mapping. The results show that publications on risk tolerance have increased by 15% annually, with the United States as the primary contributor. The main recurring themes include risk assessment, decision-making, and financial risk tolerance. However, there is a gap in integrating the risk tolerance theme with broader concepts such as financial literacy. The analysis also indicates increased international collaboration, particularly in North America, Europe, and Asia, but with limited cooperation in Latin America and Africa. This study recommends further exploration of the relationship between risk tolerance, financial literacy, and technology-based decision-making. Additionally, it suggests enhancing cross-regional collaborations to broaden the scope and impact of research in this field.

Large-scale and long-term wildlife research and monitoring using camera traps: a continental synthesis.

Camera traps are widely used in wildlife research and monitoring, so it is imperative to understand their strengths, limitations, and potential for increasing impact. We investigated a decade of use of wildlife cameras (2012-2022) with a case study on Australian terrestrial vertebrates using a multifaceted approach. We (i) synthesised information from a literature review; (ii) conducted an online questionnaire of 132 professionals; (iii) hosted an in-person workshop of 28 leading experts representing academia, non-governmental organisations (NGOs), and government; and (iv) mapped camera trap usage based on all sources. We predicted that the last decade would have shown: (i) exponentially increasing sampling effort, a continuation of camera usage trends up to 2012; (ii) analytics to have shifted from naive presence/absence and capture rates towards hierarchical modelling that accounts for imperfect detection, thereby improving the quality of outputs and inferences on occupancy, abundance, and density; and (iii) broader research scales in terms of multi-species, multi-site and multi-year studies. However, the results showed that the sampling effort has reached a plateau, with publication rates increasing only modestly. Users reported reaching a saturation point in terms of images that could be processed by humans and time for complex analyses and academic writing. There were strong taxonomic and geographic biases towards medium-large mammals (>500 g) in forests along Australia's southeastern coastlines, reflecting proximity to major cities. Regarding analytical choices, bias-prone indices still accounted for ~50% of outputs and this was consistent across user groups. Multi-species, multi-site and multiple-year studies were rare, largely driven by hesitancy around collaboration and data sharing. There is no widely used repository for wildlife camera images and the Atlas of Living Australia (ALA) is the dominant repository for sharing tabular occurrence records. However, the ALA is presence-only and thus is unsuitable for creating detection histories with absences, inhibiting hierarchical modelling. Workshop discussions identified a pressing need for collaboration to enhance the efficiency, quality and scale of research and management outcomes, leading to the proposal of a Wildlife Observatory of Australia (WildObs). To encourage data standards and sharing, WildObs should (i) promote a metadata collection app; (ii) create a tagged image repository to facilitate artificial intelligence/machine learning (AI/ML) computer vision research in this space; (iii) address the image identification bottleneck via the use of AI/ML-powered image-processing platforms; (iv) create data commons for detection histories that are suitable for hierarchical modelling; and (v) provide capacity building and tools for hierarchical modelling. Our review highlights that while Australia's investments in monitoring biodiversity with cameras position it to be a global leader in this context, realising that potential requires a paradigm shift towards best practices for collecting, curating, sharing and analysing 'Big Data'. Our findings and framework have broad applicability outside Australia to enhance camera usage to meet conservation and management objectives ranging from local to global scales. This review articulates a country/continental observatory approach that is also suitable for international collaborative wildlife research networks.

Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses.

Genetic diagnosis of rare diseases requires accurate identification and interpretation of genomic variants. Clinical and molecular scientists from 37 expert centers across Europe created the Solve-Rare Diseases Consortium (Solve-RD) resource, encompassing clinical, pedigree and genomic rare-disease data (94.5% exomes, 5.5% genomes), and performed systematic reanalysis for 6,447 individuals (3,592 male, 2,855 female) with previously undiagnosed rare diseases from 6,004 families. We established a collaborative, two-level expert review infrastructure that allowed a genetic diagnosis in 506 (8.4%) families. Of 552 disease-causing variants identified, 464 (84.1%) were single-nucleotide variants or short insertions/deletions. These variants were either located in recently published novel disease genes (n = 67), recently reclassified in ClinVar (n = 187) or reclassified by consensus expert decision within Solve-RD (n = 210). Bespoke bioinformatics analyses identified the remaining 15.9% of causative variants (n = 88). Ad hoc expert review, parallel to the systematic reanalysis, diagnosed 249 (4.1%) additional families for an overall diagnostic yield of 12.6%. The infrastructure and collaborative networks set up by Solve-RD can serve as a blueprint for future further scalable international efforts. The resource is open to the global rare-disease community, allowing phenotype, variant and gene queries, as well as genome-wide discoveries.

A bibliometric analysis of the development trend of Tuina research: Based on the Web of Science (WOS) platform.

Tuina has been proven to significantly relieve symptoms, demonstrating its clinical value. With the growth of related research, a comprehensive review is urgently needed to promote its development. This study aims to clarify the collaboration and current research status in the field of Tuina research using bibliometric analysis, and to discuss future directions. On February 4, 2023, the Web of Science Core Collection (WoSCC) database was searched using the keywords "tuina," "tui-na," "tui na," and "Chinese massage" to collect literature related to Tuina from its inception until December 31, 2022. The collected literature included all types of research articles and reviews. VOSviewer, CiteSpace, Pajek, and Scimago Graphica were utilized to perform a visual analysis of annual publication volume, as well as publication volume and collaboration networks of different countries, institutions, and authors, along with journal publication volume and keyword network analysis. A total of 761 publications were included in the analysis, with the total number of papers showed an increasing trend over time. The countries and institutions with the most publications were China and Shanghai University of Traditional Chinese Medicine, respectively. The authors who contributed the most were Min Fang, Qingguang Zhu, Zhiwei Wu, Lingjun Kong and Yufeng Wang. The most widely published journal in the field was the Journal of Acupuncture and Tuina Science. The clinical efficacy evaluation of Tuina therapy for musculoskeletal and spinal diseases, apoplexy sequelae, chronic diseases, and pediatric diseases were research hotspots and developing trends in this field. The research on Tuina has been increasing year by year. Currently, the focus of Tuina research lies in clinical studies, including the treatment of skeletal muscle and spinal diseases, stroke sequelae, chronic diseases, and pediatric illnesses, with pediatric Tuina emerging as a hot topic of research. Basic research in this field is relatively scarce, and the mechanisms of action of this therapy have not yet been fully elucidated. Future efforts in this area should aim to strengthen basic research and promote cooperation among international institutions.

Risk of Post-Polypectomy Bleeding After Colorectal Endoscopic Mucosal Resection in Patients with Cirrhosis: A Propensity-Matched Analysis of the US Collaborative Network

Introduction: Data on the risk of post-polypectomy bleeding after endoscopic mucosal resection (EMR) in patients with cirrhosis is limited. Methods: This retrospective cohort study utilized the U.S. Collaborative Network to assess post-polypectomy bleeding risk after colorectal EMR in patients with cirrhosis compared to controls. Using one-to-one propensity score matching (PSM), the primary outcome measured was bleeding within 30 days post-EMR. The bleeding risk was further stratified by cirrhosis severity (compensated and decompensated). Results: After PSM, each cohort included 2,381 patients. Patients with cirrhosis had a higher risk of post-polypectomy bleeding (odds ratio [OR] 1.38, 95% confidence interval [CI] 1.05-1.82, p=0.02). However, endoscopic reinterventions for hemostasis were similar between cirrhosis and control cohorts (OR 1.20, 95% CI 0.71-2.05, p=0.50). The post-polypectomy bleeding risk was significantly higher in patients with decompensated cirrhosis (OR 1.65, 95% CI 1.12-2.42, p=0.01), while those with compensated cirrhosis showed no increased risk of post-polypectomy bleeding (OR 1.15, 95% CI 0.85-1.54, p=0.37). Conclusions: The post-polypectomy bleeding risk was higher in patients with decompensated cirrhosis, while the bleeding risk was not increased in those with compensated disease. Optimizing patients with cirrhosis, especially with decompensated disease, before colorectal EMR and monitoring for post-procedure bleeding remains important. A conservative, supportive approach to managing bleeding in patients with cirrhosis may be as effective as in those without cirrhosis.

Improving the adoption of a school-based nutrition program: findings from a collaborative network of randomised trials

BackgroundPublic health nutrition interventions, including school-based programs, are a recommended approach to improve child dietary behaviours. However, the adoption of effective school-based nutrition programs face numerous challenges, including the limited evidence on effective strategies to maximise implementation and adoption of such programs. This study aimed to address this evidence gap by employing a novel collaborative network trial design to evaluate a series of implementation strategies employed by three NSW Local Health Districts, to improve school adoption of an effective school-based nutrition program (‘SWAP IT’).MethodsThree independent, two arm parallel group randomised controlled trials were conducted simultaneously to examine the potential effectiveness of implementation strategies on school adoption of SWAP IT. Schools were randomised to either a high intensity (various implementation strategies), or a business as usual (minimal support) group. Measures and data collection processes were harmonised across the three trials to provide individual school-level data for planned pooled analyses. The primary outcome was school adoption of SWAP IT, objectively measured via electronic registration records. Logistic regression analyses were used to assess school adoption of SWAP IT for each trial. Meta-analyses were also conducted to pool the effects of the three trials and allow the comparison of the potential relative effects of the different strategies.ResultsA total of 287 schools were included in the study: Trial 1 (n = 164), Trial 2 (n = 64) and Trial 3 (n = 59). Relative to control, we found increased odds of adoption in Trial 1 that employed a combination of the educational materials and local facilitation strategies (OR 8.78; 95%CI 2.90, 26.56; p < 0.001), but no significant differences in adoption in Trial 2 or 3 that employed solely the educational materials strategy. Pooled data suggests the combination of educational materials and local facilitation has a greater effect on adoption compared to educational materials alone (OR 4.18; 95%CI 1.60, 10.04; n = 3 studies; indirect effect).ConclusionFindings of this study indicate that local facilitation is an important strategy to increase school adoption of SWAP IT, and potentially other health promotion programs.Trial registrationThe trials were prospectively registered with Australia New Zealand Clinical Trials Register:ANZCTR, ACTRN12622000257763, Registered 11/2/2022, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383515&isReview=trueANZCTR, ACTRN12622000406707, Registered 9/3/2022 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383701&isReview=trueANZCTR, ACTRN12622000252718, Registered on 11/2/2022, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383513&isReview=true

Factors creating favorable conditions for activating innovative entrepreneurship and startups in post-war Ukraine

As global conflicts and hostilities become more prevalent, it is essential to investigate the conditions necessary for the operation and growth of innovative enterprises considering post-war recovery. The paper aims to determine crucial favorable conditions for activating innovative entrepreneurship and startups in the post-war period in Ukraine. The analysis is based on inductive, qualitative data from 24 interviews with the respondents from Ukraine and the Netherlands (eight scientists, ten startup founders and entrepreneurs, two government officials, and four entrepreneurs) to identify a range of favorable factors by utilizing qualitative analysis. The paper used individual, in-depth, semi-structured interviews. The study identified eight constraining aggregate themes (the consequences of war, policy and regulatory system, market and investment, the ecosystem, passive universities, education and skills, internationalization, and culture) and three enabling aggregate themes (the consequences of war, active universities, and the ecosystem) through the grouping of factors from the second-order code. The most significant constraining factor from aggregate themes “the consequences of war” is brain drain (40.63%). Among the eight constraining aggregate themes, 32.55% identified the policy and regulatory system as the main obstacle due to the absence of an effective strategy, ineffective legislation, passive municipalities, and bureaucracy. Moreover, the lack of funds is a critical issue in addressing the consequences of the war, financing startup projects, and creating favorable conditions. The results emphasize constraining and enabling conditions for activating innovative entrepreneurship and startups. Such results are helpful for policymakers to improve the conditions for startup development by overcoming the immediate identified obstacles. AcknowledgmentThe publication was prepared in the framework of the MSCA4Ukraine postdoctoral fellowship (Oksana Khymych Ref.№ UKR 1233171), which is funded by the European Union that provides support and funding for the Ukrainian researchers displaced by the war, while the Consortium (a consortium comprised of Scholars at Risk Europe hosted at Maynooth University, Ireland (project coordinator), the German Alexander von Humboldt Foundation (AvH) and the European University Association (EUA)) is a collaborative network of institutions managing and implementing this initiative. The views and opinions expressed in this report are solely those of the authors and do not reflect the views of the European Union or the MSCA4Ukraine Consortium. Neither the European Union, the MSCA4Ukraine Consortium, nor any individual member institutions of the Consortium can be held responsible for these views and opinions. We would like to express our sincere gratitude to the colleagues at Vrije Universiteit Amsterdam for their invaluable support in conducting the research and for fostering an environment conducive to academic excellence and innovation.

Use of vascular access methods for hemodialysis in Serbia: Results from SerbVasc registry.

In many countries, hemodialysis is still the most common method of renal replacement. Significant regional variations exist in creating and maintaining vascular access for hemodialysis. Therefore, analyzing national registries with vascular access data is essential for developing effective national treatment strategies. The Serbian national vascular surgery registry was established as part of the VascuNet collaboration network in 2019. The registry comprehensively records vascular procedures across Serbia, including those related to vascular access for hemodialysis. This study aims to evaluate the prevalence of different vascular access methods for hemodialysis in Serbia, focusing on both new and prevalent patients and examining demographic differences and risk factors. The data were collected from the vascular accesses section of the SerbVasc registry over a 3-year observational period, focusing on the following aspects: number of incident and prevalent patients with types of vascular access, as well as comparison of patients with arteriovenous fistulas (AVF), arteriovenous grafts (AVG), central venous catheters (CVC), and tCVC based on age, gender, smoking, and comorbidities. There were total of 1024 incident hemodialysis patients. AVF was created in 219 patients (21.4%), AVG in 5 patients (0.5%), and tCVC in 150 patients (14.6%), while hemodialysis via CVC was initiated in 650 (63.5%) patients. The total number of permanent vascular accesses for HD was 1402, comprising 686 (48.9%) distal AFVs, 220 (15.7%) proximal AVFs, 91 (6.4%) AVGs, and 405 (28.8%) tCVCs. The prevalence of current smoking was highest in the tCVC (48.3%) and lowest in the dAVF group (18.40%). The percentage of patients starting hemodialysis with AVF remains suboptimal. tCVC is used substantially as first and permanent access, particularly among older patients.

Green Servant Leadership: A Bibliometric Review and Analysis for Future Research

There are several theories and styles of leadership, as well as several approaches to studying it. This article studies the emergence and evolution of Green Servant Leadership, advocating for collaborative research to explore its development from 2012 to 2023. Utilizing bibliometrics and using VOS Viewer software, we analyze metadata from 33 publications available on Scopus. Our findings indicate a global interest in various aspects of green servant leadership, with a notable surge in research volume in recent years. The study underscores the importance of these insights for future researchers, facilitating collaborative networks among institutions, countries, and authors who have contributed significantly to this field. Researchers should collaborate more to better understand Green Servant Leadership, leveraging bibliometrics and tools like VOS Viewer for comprehensive analysis. They should prioritize investigating evolving trends, fostering global networks, and advancing knowledge within the context of environmental sustainability and the social sciences.

Multi-Step Forecasting of Chlorophyll Concentration with Multi-Attention Collaborative Network

In a marine environment, the concentration of chlorophyll is an important indicator of quality, which is also considered an indicator used to predict the marine ecological environment, which is further considered an important means of predicting red tide disasters. Although existing methods for predicting chlorophyll concentration have achieved encouraging performance, there are still two limitations: (i) they primarily focus on the correlation between variables while ignoring negative noise from non-predictive variables and (ii) they are unable to distinguish the impact of chlorophyll from that of non-predictive variables on chlorophyll concentration at future time points. In order to overcome these obstacles, we propose a Multi-Attention Collaborative Network (MACN)-based triangle-structured prediction system. In particular, the MACN consists of two branch networks, with one named NP-net, focusing on non-predictive variables, and the other named T-net, applied to the target variable. NP-net incorporates variable-distillation attention to eliminate the negative effects of irrelevant variables, and its outputs are used as auxiliary information for T-net. T-net works on the target variable, and both its encoder and decoder are related to NP-net to use the output of NP-net for assistance in learning and prediction. Two actual datasets are used in the experiments, which show that the MACN performs better than various kinds of state-of-the-art techniques.

The Landscape of Experimental Cardiac Arrest Research Models in Rats: A Bibliometric Analysis of the 100 Most Cited Articles.

This study aimed to conduct a bibliometric analysis of the 100 most cited articles on experimental cardiac arrest models in rats, identifying key contributors, publication trends, research themes, and collaboration networks. A comprehensive literature search was performed on the Web of Science (WoS) database on June 11, 2024, using keywords related to cardiac arrest and rat models. The top 100 most cited articles were analyzed using the Biblioshiny web application from the Bibliometrix R package (version 4.2.3), categorized by primary research focus. Articles, published from 1980 to 2022, involved 416 authors across 44 journals, averaging 106.7 citations each. Primary research themes were neurology (72%), organ transplantation (7%), cardiovascular system (6%), CPR outcomes after local anesthetic toxicity (4%), and other topics (5%). The United States, Japan, and Germany were leading contributors, with limited international collaborations. Major clusters identified included "Cerebral Ischemia and Outcomes," "Brain Imaging Metrics," and "Blood Brain Barrier". The most commonly used methodologies for cardiac arrest induction were asphyxia, induction by magnesium or potassium chloride and electrical stimulation. This first bibliometric analysis on the topic reveals a dominance of neuroscience in experimental cardiac arrest models in rats. High-impact journals like the "Journal of Cerebral Blood Flow and Metabolism" play critical roles in disseminating significant research. The study highlights substantial gaps in global research engagement, with minimal contributions from lower-income countries and few international collaborations. This analysis provides a roadmap for future research directions and opportunities for more extensive international and interdisciplinary collaboration, always with a focus on scientific rigor.

Artificial intelligence and network science as tools to illustrate academic research evolution in interdisciplinary fields: The case of Italian design.

In this paper, we explore the application of Artificial Intelligence and network science methodologies in characterizing interdisciplinary disciplines, with a specific focus on the field of Italian design, taken as a paradigmatic example. Exploratory data analysis and the study of academic collaboration networks highlight how the field is evolving towards increased collaboration. Text analysis and semantic topic modelling identified the evolution of research interest over time, defining a ranking of pairs of keywords and three prominent research topics: User-Centric Experience Design, Innovative Product Design and Sustainable Service Design. Our results revealed a significant transformation in the field, with a shift from individual to collaborative research, as evidenced by the increasing complexity and collaboration within groups. We acknowledge the limitations faced by this work, suggesting that the methodology may be primarily suitable for bibliometric and more silos-like disciplines. However, we emphasize the urgency for the scientific community to address the future of research not indexed by large open-access databases like OpenAlex.

Bibliometric Analysis of Artificial Intelligence for Digital Literacy

This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) for digital literacy research from 2015 to 2024, utilizing citation analysis on 223 articles from the Dimensions database. The research examines publication trends, author collaborations, and thematic focuses in the field. Findings reveal a significant publication growth, with a peak in 2020 followed by fluctuations in subsequent years. The analysis highlights the field&amp;rsquo;s interdisciplinary nature, with computer science and education emerging as dominant areas. Key research themes identified through co-word analysis include educational applications, technological integration, and broader societal impacts. The emergence of &amp;ldquo;AI literacy&amp;rdquo; as a significant keyword underscores the evolving nature of digital competence in the AI era. Author collaboration networks reveal established experts and researchers with strong collaborative ties, indicating a dynamic research community. The study identifies challenges and opportunities in AI for digital literacy, including ethical considerations, teacher preparation, and the potential for personalized learning. This analysis provides valuable insights into AI&amp;rsquo;s current state and future directions for digital literacy research, emphasizing the need for continued interdisciplinary collaboration and the development of inclusive AI literacy programs. The findings suggest a growing recognition of AI&amp;rsquo;s role in shaping digital literacy practices and the importance of preparing learners for an AI-integrated future.