Collaborative Analysis Research Articles

The trials and triumphs of co-producing an evaluation plan: A principles-focused evaluation

BackgroundRecovery Colleges are mental health-oriented education programs that are rooted in principles of peer support and co-production. Co-production, in this context, involves people with lived experience of mental health and addiction challenges and people with other forms of expertise (e.g., mental health professionals, administrators, and researchers) collaborating on the design and actualization of programs and initiatives. Despite co-production being a central feature of Recovery Colleges, very few Recovery College evaluations appear to be co-produced. In addition, there is a lack of research that evaluates the quality of the co-production processes in developing evaluations. The Recovery College at the Centre for Addiction and Mental Health, called the Collaborative Learning College, established an Evaluation Subcommittee with the goal of co-designing and implementing an evaluation plan for the program. In response to the dearth of literature on co-producing Recovery College evaluations and the quality of such collaborative processes, the Evaluation Subcommittee conducted a principles-focused evaluation to assess the quality of their process of co-producing an evaluation plan.MethodsAll members of the Evaluation Subcommittee collaboratively developed and agreed on three principles that they felt were most important in their co-production process. Using a self-narrative approach, each member then produced a reflection on the importance of the principles, the degree to which the committee adhered to them, and the impact. Finally, members engaged in collaborative thematic analysis and co-wrote this manuscript.ResultsThe results of this study outline member’s purposes for joining the Evaluation Subcommittee, the strengths and challenges related to embodying the collaborative principles, and the associated impacts.ConclusionsThe findings demonstrate the value of co-producing health education evaluations with people with lived experience and highlight important lessons learned through the Evaluation Subcommittee’s collaborative process, specifically related to mitigating the impacts of power imbalances. These lessons can be valuable for others to consider in their co-production processes.

Knowledge Map of Learner characteristics in Blended Learning: A Bibliometric Analysis

The study of learner characteristics in blended learning has consistently emerged as a central theme in the global discourse on blended learning, and occupies a central position in research in international fields of education and psychology. The aim of this study is to explore the research focal points, trends, and cutting-edge developments related to learner characteristics in blended learning. CiteSpace was used to visually analyse 2,672 high-quality literature articles related to learner characteristics in blended learning in the Web of Science database spanning from 2014 to 2023. The data obtained from the Web of Science database includes titles, abstracts, years, keywords, authors, academic institutions, journals, and citation counts. To facilitate visualization, we employed CiteSpace visualization software for literature analyses, knowledge mapping, collaborative network analyses, cluster analyses and keyword bursts. A total of 2672 articles related to learner characteristics in blended learning were identified. The highest number of articles were published in the United States (400 papers), followed by China (396 papers) and Australia (247 papers). The most commonly occurring keywords were 'higher education', 'engagement', 'performance', 'satisfaction', and 'online learning'.

Research trends and frontiers on risk factors of urinary stones: a bibliometric analysis from 2010 to 2023

Background and objective The occurrence of urinary stone disease (USD) is associated with several factors. However, no conclusive results have been reached regarding the treatment of USD risk factors. This study conducted a detailed bibliometric analysis of USD risk factors to determine research hotspots and provide future development directions. Methods Articles and reviews on the USD risk factors published between 2010 and 2023 were retrieved from the Web of Science Core Collection. Co-occurrence and collaboration analyses of countries, institutions, authors, journals, references, and keywords were conducted using CiteSpace, VOSviewer, and R-Bibliometrix. Results A total of 436 articles on USD risk factors were included in the study. China and the United States have emerged as the leading countries in this field, with the Mayo Clinic having the highest amount of publication output. Among all the authors, Ferraro PM had the highest number of publications, while Taylor EN was the highly cited author. The journal with the highest number of publications was UROLITHIASIS. Scales reported the reference with the highest burst strength. The current citation themes in research on USD risk factors were ‘multifaceted relationship’ and ‘kidney stone disease recurrence’. ‘Medical-management’ was identified as a major keyword, indicating future research hotspots. Conclusion This study employed bibliometric methods to conduct a comprehensive visual analysis of USD risk factors to show publication trends and popular topics in this area over the past decade. The results provide a valuable reference for future research on the risk factors of USD.

Difference in summer heatwave-induced damage between desert native and urban greening plants in an arid desert region.

Summer heatwaves have caused a distinct mortality between urban greening and native plants. However, there are insufficient studies revealing the underlying mechanisms. We hypothesized that differentiation in hydraulic traits and their integration cause the varied heatwave-induced damages between the two plant types. To prove it, three desert native species and five urban greening species were selected as the experimental objects. Then, the number of damaged individuals caused by summer heatwaves were investigated based on the 100 individuals for each species. The hydraulic traits (including hydraulic transport, photosynthetic and leaf traits) of 3-5 mature individuals were measured for each species. The comparative analysis (independent sample t test and one-way ANOVA) and the collaborative analysis (Pearson correlation and network analysis) were used to reveal the differences in heatwave-induced damage, hydraulic traits and their integration between urban greening and native plants. Our results showed that the heatwave-induced damage to urban greening plants was larger than that to native species. Water potentials of leaf and branch in pre-dawn and midday, P50, leaf dry matter content, net photosynthetic rate, transpiration rate and stomatal conductance of desert native species were significantly lower than those of urban greening plants (P < 0.05), while twig specific hydraulic conductivity, Huber value, wood density, intrinsic water use efficiency and the specific leaf area showed opposite patterns (P < 0.05). Trait integration of desert native species (0.63) was much higher than greening plants (0.24). Our results indicate that artificial urban greening plants are more susceptible to drought stress caused by heatwaves than native desert species. In the context of global climate change, in order to maintain the stability and function of urban ecosystems in extreme climate, the screening of greening plants should start from the perspective of hydraulics and trait integration, and more native species with strong drought adaptability should be planted.

Financial Sustainability Through Literacy and Retirement Preparedness

This study discusses financial sustainability in retirement via a comprehensive bibliometric and content analysis on financial literacy and retirement preparedness for 1970–October 2024. Data for this study are extracted from the Scopus database. In line with the PRISMA guideline, the inclusion and exclusion criteria were applied, and the final corpus of articles used in the analysis is 518 articles. These articles are analyzed using the bibliometric methods: Bibliometrix R-package (Biblioshiny) version 4.0 and VOSviewer 1.6.20. The descriptive analysis identified the publication trends, prominent authors, articles, sources, country collaboration, and quadrant analysis. Based on the bibliographic coupling, the following themes were identified: (1) financial literacy and retirement planning, (2) behavioral finance and psychological determinants of retirement planning and preparedness, (3) financial risk, decision making, and retirement preparedness, and (4) gender, socioeconomic factors, and financial literacy disparities. This study has consolidated and enriched the understanding of how financial literacy, education, psychology and behaviors, and financial risk play a pivotal and central role in shaping long-term financial sustainability, as well as retirement planning and preparedness. From a practical perspective, an all-inclusive understanding of the above is essential for guiding regulators and policymakers in designing policies, targeted interventions, and programs that empower individuals towards retirement preparedness, considering regional, socioeconomic, and gender-related factors.

Lessons learned teaching social and emotional learning in physical education teacher education: a self-study

ABSTRACT Background Social and emotional learning (SEL) has emerged as a political and educational priority worldwide. Numerous academic and non-academic benefits of effective (well-designed and well-implemented) SEL programmes within educational contexts exist. Not surprisingly, SEL has been acknowledged as one of the most prioritised educational agendas to support students’ holistic growth and success across different subjects in schools, health and physical education is no exception. Yet, while SEL continues to progress as a global education priority, there is limited literature on SEL in physical education, and even less which seeks to explore teaching SEL in a physical education teacher education (PETE) programme. Purpose Framed by Loughran’s conceptualisation of developing a pedagogy of teacher education, this study explored lessons learned from one teacher educator’s first experience teaching SEL in a health and physical education teacher education programme. Method A self-study of teacher education practices methodology supported one teacher educator to interrogate their experience, decisions, identity, and practices teaching SEL in a PETE programme. Data includes written reflections (n = 10 pages, single-spaced), transcribed critical friend discussions (n = 112 pages single-spaced), and teaching artefacts. Data analysis involved a collaborative reflexive thematic analysis approach to facilitate the inductive identification of themes and patterns. Findings Results are grouped into three categories: lessons learned about my practice as a teacher educator, lessons learned about my pre-service teachers, and lessons learned about teacher education. The three lessons include: (1) the importance of SEL being taught not caught, (2) students lack content knowledge, and (3) once is not enough. Results confirm teaching SEL requires a programmatic approach. Each lesson represents an ongoing process of making sense of self in practice. Conclusions The results of this research provide pedagogical considerations about teacher education programmes and those who teach in them. Teaching about teaching is a complex process. Teaching about teaching SEL may be an even more complex process as teacher educators rarely have developed these competencies themselves.

Indigenous Parents' Perspectives of Factors That Facilitate or Impede Engagement in Internet-Based Parenting Support Programs: Interpretive Description Study.

Parenting support programs enhance parents' health and their child's development. The COVID-19 pandemic necessitated the delivery of these programs over the internet. After the pandemic, internet-based programs are still preferred by some. We aimed to understand Indigenous parents' experiences engaging in internet-based parenting support programs; thus, an interpretive description study was conducted. A total of 20 Indigenous (female, male, and Two-Spirit) parents of children aged <5 years participated in semistructured interviews; data underwent collaborative thematic analysis with Indigenous community partners informed by the Two-Eyed Seeing framework and ethical space. Parents' experiences were classified into five themes: (1) Purpose: Program Delivery and Content, (2) Belonging: Building Relationships and Connections, (3) Hope: Cultural Connection, (4) Meaning: New or Improved Parenting Skills and Mental Wellness, and (5) Recommendations for Organizations. The study findings can inform internet-based parenting program delivery to enhance engagement for Indigenous families.

Research trends of cooperation in social dilemmas from 2003 ‐ 2023: A bibliometric study using CiteSpace

Over the past two decades, researchers have thoroughly investigated cooperation within social dilemmas to address societal challenges. However, there has been limited interdisciplinary review of this field. This paper provides the first comprehensive analysis of 2,232 articles from 2003 to 2023 within this research domain, utilizing CiteSpace. Our analysis includes statistical, collaboration, co-citation, and keyword co-occurrence analyses to elucidate current trends, key contributors, themes, and emerging areas. The findings indicate that: (1) The publications have shown a rising trend, meaning cooperation topics in social dilemmas receive wide attention. (2) Cooperation in social dilemmas is a prominent and interdisciplinary topic characterized by strong collaboration among regions, authors, and journals. (3) Key topics include social value orientation, spatial public goods games, procedural fairness, and group cooperation. Additionally, emerging research trends may encompass evolutionary dynamics of cooperation, complex networks of social dilemmas, sex differences in cooperation, and climate change. (4) Future research should focus on interdisciplinary theoretical integration, the brain mechanisms of cooperation, emerging social dilemmas in the real world, and cross-cultural comparative studies. This study provides a reference for researchers to understand the theme and research hotspot of cooperation within social dilemmas.

Research hotspots and paths of traditional houses in Huizhou, Anhui province, China: A visualization analysis using CiteSpace

As a representative of China&amp;rsquo;s vernacular architecture with unique forms and rich cultural connotations, Huizhou&amp;rsquo;s traditional dwellings have gained international recognition as a World Cultural Heritage site. These dwellings serve as a pi vital case study in exploring the dynamic relationship between globalization and local identity. This study employs CiteSpace software to visualize and analyze literature on traditional Huizhou houses published since 2000. We investigated publication trends and author and institutional collaboration networks and identified major research hotspots and their evolutionary paths at each stage by applying keyword co-occurrence, clustering, and emergence mapping. The results reveal three main phases in academic research on Huizhou traditional dwellings: from 2000 to 2010, studies primarily dissected architectural features and cultural connotations; from 2011 to 2020, research focused on the application of Huizhou&amp;rsquo;s traditional architectural and cultural symbols within contemporary design; and from 2021 to 2023, preliminary exploration began into the industrialized development and spatial narratives of Huizhou architectural elements. Although research on Huizhou&amp;rsquo;s traditional houses has yielded substantial insights, collaboration among authors and institutions remains limited, and theoretical innovation is insufficient. Future studies should prioritize multidisciplinary collaboration and quantitative analysis to advance the integration and sustainable development of theory and practice in this field.

Optimising Healthcare Education with Design-Based Theory

Introduction In complex, and socially dynamic educational systems, traditional research methodologies often fail to connect with everyday practice, creating a need for “usable knowledge” when solving individual and collective education problems (Design-Based Research Collective, 2003). Traditional methods are effective, but do not necessarily uncover the nature of changes to student thinking during an education experience. With this, Design-Based Research (DBR) is a proposed solution that emerges as a pivotal methodology in educational research, as it aims to integrate theories of learning with practical experiences. Seen as a systematic yet adaptable approach, DBR integrates iterative cycles of analysis, design, and evaluation in collaboration with researchers and practitioners within authentic educational settings, (Harrington, 2012; Wang &amp; Hannafin, 2005). This (poster) presentation will describe how DBR was utilised to create a learning environment to improve learning experiences within healthcare education. An analysis of the problem highlighted that healthcare students experienced high levels of anxiety during high-fidelity simulation when asked to perform and treat simulation manikins (Aiello et al., 2023). In part, the main issues relate to a lack of environmental authenticity, resulting in under-stimulation and performance anxiety resulting in over-stimulation. This relates to the Yerkes Dodson stress performance curve and suggests that too little or too much arousal results in poor performance (Yerkes, 1908). The hypothesis therefore was to design a solution for peak performance by increasing environmental authenticity and managing anxiety. Method The hypothesis is conceptualised as a ‘design solution’ rather than an intervention. To provide an authentic learning experience virtual reality environments were developed, and to aid performance anxiety, the centering technique was used. Centering is a visualisation technique that teaches participants to focus on the here and now, reduce negative thoughts, and lower anxiety. Virtual reality scenarios were provided prior to each simulation and included a ward-based environment (nurse students) and a rescue helicopter (paramedic students). The study involved 35 Master of Nursing Science, Entry to Practice student nurses at the University of Melbourne and 33 Bachelor of Health Science, Paramedicine students at Auckland University of Technology and industry experts within nurse and paramedic education. All data was collected for each cohort iteratively in 2023 and 2024 to evaluate and develop the design. Data collection included using the State-Trait Anxiety Inventory as a pre-test baseline to measure general and long-standing anxiety for each participant. Within-test heart rates was recorded on a Polar H10 chest strap to measure an objective physiological response to stress. Post-test participants completed the Competitive State Anxiety Inventory–2R after each simulation to understand subjective anxiety and several focus groups were completed to gain further insight into experiences and perspectives. Discussion and Conclusion This presentation outlines the design characteristics used to support student learning within healthcare education settings. Design-Based Research offers a robust framework to develop and refine educational practices through iterative design and implementation cycles. Early results suggest that both virtual reality and the centering technique impact healthcare learning and the implementation of this approach could lead to long-term resilience and build confidence that maximises potential.

A low‐cost trans‐scale model for the collaborative analysis of the manufacturing and in‐service process of unidirectional CFRP composites

AbstractDuring the manufacturing of thermoset‐based carbon fiber‐reinforced polymer (CFRP) structures, a curing process involving thermal, chemical, and mechanical interactions occurs. This process gives rise to micro‐scale residual stresses due to differences in fiber and resin properties, leading to decreased mechanical properties compared to nominal values. A trans‐scale analysis method utilizing the reduced order model (ROM) is applied in this study to establish a connection between the manufacturing and in‐service processes for unidirectional CFRP (UD‐CFRP). By employing this method, the evolution of residual stresses at the micro‐scale during UD‐CFRP manufacturing is predicted, and the impact of these residual stresses on structural performance during service is assessed. Specifically, the manufacturing‐induced residual stresses reduce the material strength by a minimum of 19.31%, while also exploring the correlation between macro‐scale and micro‐scale failures. Notably, the computational cost of this method is significantly lower, with a reduction factor of 103 compared to the finite element method. Empirical evidence supports the effectiveness of this method in accurately predicting outcomes throughout both the manufacturing and in‐service processes.Highlights Trans‐scale analysis method links composites manufacturing simulation to in‐service performance. Highly efficient trans‐scale method excels in cost, accuracy, consistency, and convergence. Residual stresses from the curing process significantly impact matrix safety.

A Bibliometric Review of Indoor Environment Quality Research and Its Effects on Occupant Productivity (2011–2023)

Over the past decade, there has been a growing recognition of the importance of indoor environmental quality (IEQ) in influencing occupant productivity. Researchers have studied various buildings, including offices, schools, hospitals, and residential settings, to understand the relationship between IEQ and productivity outcomes. Studies have taken a multifactorial approach, considering multiple aspects of IEQ. Evidence from the literature review suggests that the quality of the indoor environment is an essential factor that affects the productivity of building occupants, and it is one of the fundamental issues in the development of societies. This area of research requires the responsible participation of researchers at all levels, as there is significant scope to contribute to knowledge. Therefore, this study aims to conduct a bibliometric analysis of the published literature on indoor environmental quality and its impact on building occupant productivity through the scientific literature available from one of the largest and most famous academic databases, Scopus; the study was determined in 2011 to 2023. The search used differential thresholds for IEQ keywords affecting building occupant productivity. Three discrete queries were performed, resulting in approximately 3861 publications. These were filtered by reducing false positives and excluding publications irrelevant to the research topic. The final results were 72 publications. This study also used Excel and VOS viewer to analyse and create graphs and network visualisation maps to show the growth of publications and their types, active countries and institutions for recovered publications, international collaboration, author keywords, active journals, and citation analysis. This study can significantly advance our understanding of building occupant productivity and enhance quality of life and work. Evaluating the research outputs is essential for highlighting contributions to knowledge and global collaboration in this research area. The potential impact of this study is not just theoretical. It can shape the future of our built environments and the lives of those occupying them.

A bibliometric analysis of studies conducted over the last 10 years on cardiovascular disease risk identification and prevention in primary care

Objective: This bibliometric analysis was conducted to determine the trends of studies on cardiovascular disease risk identification and prevention in primary care from 2013 to 2024 and visualize the latest developments. Methods: The data were collected in February-March 2024 from the database “Web of Science Core Collection,” the analysis was carried out using the VOSviewer program. The change in the number of publications of the published articles by year, author, country, and institution citation analyses, country, institution, and author collaboration analyses, journal and author co-citation analyses, and keyword analyses were evaluated. Results: Five hundred and ninety-two authors from 64 countries and 377 institutions contributed to 443 studies published in 80 journals between 2013 and 2024 on determining and preventing cardiovascular disease risk in primary care. "BMC Family Practice" was the journal in which most articles were published, and "Circulation" was the most cited. The first three countries that support published articles most are the United States, England, and Australia. Focusing on the topics "blood-pressure control", "coronary-artery calcium", "physician-pharmacist collaboration", "low-density lipoprotein cholesterol", "health-risk assessment", "pollution", "primary care", "coronary heart disease", "prevention", "cardiovascular disease" and "mortality" will help fill the gap in the field. Conclusions: This bibliometric analysis has shown increasing interest in studies related to cardiovascular disease risk and prevention in primary care. Primary prevention guidelines are important resources in addressing risk factors. Global collaborations and long-term studies are necessary in this field, led by developed countries with a high disease burden.

Expansion and evaluation of level II and III recovery residences for people taking medications for an opioid use disorder: project HOMES (Housing for MAR Expanded Services) study protocol

IntroductionAs the US continues to battle the opioid epidemic, recovery residences remain valuable services for people in recovery. While there is a growing body of literature describing positive outcomes experienced...

Leveraging Federated Learning for Privacy-Preserving Analysis of Multi-Institutional Electronic Health Records in Rare Disease Research

This research announces that the fresh federated learning structure is designed to enhance the privacy-preserving analysis of electronic health records (EHRs), and multiple institutions in this framework permit secure collaboration among institutions, allowing them to train machine-learning replicas without directly sharing patient data. We implemented and evaluated numerous machine-learning models to forecast patient treatment needs, including Logistic Regression, Decision-Tree-Classifiers, Support-Vectors-Classifiers, Random-Forests, and Stacking-Classifiers. The Random Forest classifier achieved the best performance with an accuracy of 90% and an F1 score of 80%, demonstrating that it handled complex and imbalanced datasets. This FL-based approach not only complies with privacy regulations such as HIPAA and GDPR but also overcomes significant challenges in data sharing, making it ideal for rare disease research. By enabling secure data aggregation across institutions, the framework significantly enhances the ability to study rare diseases and accelerates the discovery of new treatments. Future directions include extending this framework to other areas of healthcare and incorporating advanced machine-learning techniques to enhance its capabilities further. This research sets the new standard for secure and collaborative healthcare data analysis and promotes innovation and ethical practices in rare disease research.

Comparison and community engagement: post-politics meets post-colony and state entrepreneurialism. Introduction to the special feature

Rapid urban growth and ubiquitous experiences of extending and dispersed urban forms give rise to new territories of urban politics, including large-scale developments which have significant impacts on communities. Given the commitment that many urban scholars have to community based and social justice-oriented research, the possibility to build understandings of these developments from the perspective of community-based actors is a high priority. But comparative analysis and theory-building across diverse community experiences presents methodological and analytical challenges. This introduction presents a collection of papers which initiated comparative analyses of community engagements in large-scale urban developments on three grounds. Firstly, allowing understandings from one urban context to ‘speak’ to another in an open comparative strategy provided a framework for activist and practitioner-led analysis including direct learning between practitioners. Secondly, new trajectories of reading literature from each context into the others disrupted the hegemony of northern theoretical approaches. And, thirdly, collaborative comparative empirical analyses of community engagement in large-scale urban developments extended the range of more formal insights on urban governance and community-based politics across three diverse contexts. Notably, papers in this collection emphasize consensus-building and collaboration alongside negotiation and contestation, all expanding community-based ‘voice’ and presence within urban politics.

Machine Learning on 50,000 Manuscripts Shows Increased Clinical Research by Academic Cardiac Surgeons

IntroductionAcademic cardiac surgeons are productive researchers and innovators. We sought to perform a comprehensive machine learning (ML)-based characterization of cardiac surgery research over the past 40 y to identify trends in research pursuits. MethodsUS-based academic websites were queried for surgeon profiles. Publications since 1980 were obtained from Web of Science, and publication classifications (e.g., “human”, “animal”) were collected through the National Institutes of Health iCite tool. Publications were deemed “basic or translational” if >50% of their classification was under “animal” or “molecular or cell”, and “clinical” if otherwise. ML-based clustering was performed on publication titles and Medical Subject Heading terms to identify research topics. ResultsA total of 944 cardiac surgeons accounted for 48,031 unique publications. Average citations per year have decreased since 1980 (P < 0.001). The percentage of basic or translational publications by cardiac surgeons has decreased over time (P < 0.001), comprising of only 8% of publications in 2022. Adult cardiac surgeons, those who received an F32, K08, or R01, and those with a PhD were more likely to publish basic or translational research. Top areas of basic or translational research were myocardial reperfusion, aortic aneurysms or remodeling, and transplant immunology. Major areas of clinical research included aortic disease, aortic valve disease, and mechanical circulatory support. Collaboration analysis revealed that 55% of publications were single-center, and the yearly percentage of these publications has decreased over time (P < 0.001). ConclusionsCardiac surgeons are performing less basic or translational research relative to clinical research than ever before. The majority of publications over the past 40 y did not involve cross-center collaboration. Continued support for clinical research is needed, while also encouraging collaborative basic or translational science to foster innovation in patient care.

Bibliometric Analysis of Articles on COVID-19 in the Transportation Industry: An Early Study

The COVID-19 pandemic, which emerged in Wuhan, China in November 2019 and affected the whole world, deeply affected the transportation industry as well as all sectors. The magnitude of the effects is also reflected in the number of academic publications, and the publication pool that would occur in decades has emerged in only 3 years. In this study, a quantitative bibliometric analysis, consisting of performance and collaboration analyses, was conducted to examine the vast publication pool in the context of the transportation sector. "Articles, final versions of articles and articles published in English only" filters were used to limit data. As the time limit, the years 2019-2022 were chosen. As a result of the search made in the Scopus database, a total of 951 articles were reached. R statistical program was used for data analysis and Biblioshiny was used for visualizations. Analyzes were carried out both in the context of all transport modes and separately for each transport mode. The results show that a total of 2605 authors were employed in 951 articles, 155 articles were single-authored, and 796 articles were multi-authored. Results of the analysis have revealed that the most productive countries are the USA and China, the most used keyword is “COVID-19”, the most cited country is Norway, the countries with the most publication cooperation in the context of country collaborations are UK and Hong Kong, the lowest cooperation rate belongs to Türkiye and South Africa. On the other hand, it has been determined that the author with the most academic studies on COVID-19 for transport modes is HAN H. In this study, the most important result revealed within the scope of performance analyzes and cooperation analyzes is that development level of the country and the importance given to education are important variables in country productivity. As the level of development and the importance given to education increase, the number of academic studies also increases. On the other hand, another important result revealed in the study is that early COVID-19 studies receive more citations and occupy central positions in citation networks. In addition, it can be mentioned that method studies are also cited more.

Reconstructing Study Habits Through Adlerian Family Counseling: Application for Electrical Power Installation Engineering Students at SMKN 2 Surabaya

This study aims to evaluate the effectiveness of Adlerian-based family counseling in reducing poor study habits among 11th-grade Electrical Power Installation Engineering students at SMKN 2 Surabaya. The method used was a pre-experimental design with a one-group pretest-posttest approach. Five students with high levels of poor study habits were selected as research subjects. The results showed that the average score of poor study habits decreased from 115.2 in the pretest to 88.6 in the posttest, with a significant difference (ρ=0.031). The intervention included building collaborative relationships, problem exploration and analysis, insight development, and reorientation for change. Adlerian-based family counseling was proven effective in enhancing students' motivation, discipline, and time management through active parental involvement. This study concludes that this approach has a positive impact on reconstructing students’ study habits, strengthening family relationships, and creating a more conducive learning environment. The model is recommended as an intervention strategy to support holistic family-based education.

Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess?

The healthcare sector's adoption of data and digital technologies is hindered by stringent data privacy regulations. Synthetic data, common data models (CDMs) and federated data ecosystems present promising solutions to these challenges. This workshop explored the potential of synthetic data to revolutionise health research, education and innovation (REI). By discussing applications, benefits, and ethical implications, the workshop addressed the role of synthetic data in enhancing data interoperability, scalability, and privacy preservation within healthcare REI systems. It also examined the relationship between synthetic data and CDMs, such as the Observational Medical Outcomes Partnership (OMOP) CDM, and the potential of federated data ecosystems to enable collaborative analysis while maintaining data ownership and control. The workshop delved into specific use cases to assess the feasibility, benefits, and limitations of synthetic data in various healthcare contexts. Through case studies and discussions, participants explored and developed best practices for effective utilisation. Ultimately, the workshop aimed to explore whether the combination of synthetic data, CDMs, and federation could facilitate privacy-preserving data sharing, seamless data integration, and scalable analysis across distributed data sources. By addressing privacy, interoperability, and scalability challenges, these approaches can drive innovation and insights within the healthcare sector.