Collaborative Analysis Research Articles

“We Were Beaten Down”: Parents' Concerns about Children's Digital Media Use

ABSTRACTParents' concerns about children's digital media use were investigated using data from semi‐structured interviews with 17 parents of children ages five to 11 at three branches of a U.S. urban public library system. Data were analyzed using collaborative inductive thematic analysis and analyzed with the lens of culturally‐constructed anxieties about new media. The most common concerns included worries about exposure to inappropriate content, worries about digital media taking up time that children would otherwise spend engaging in more meaningful activities, concerns about safety and privacy, and worries about negative effects on children's behaviors, attitudes, and social skills. Further analysis showed parents' deeper concern for children's healthy development to underlie these narrower concerns. The authors conclude with the recommendation to shift the framing of discourse around parenting with digital media from risk protection to digital media education. Such a shift could raise awareness that framing children and digital media only in terms of risks is overly simplistic, and it could help parents come to understand that children's digital media use is not just risky but also an opportunity for children to derive educational and social benefits, and learn how to operate in a digital media‐dominated information ecosystem.

IntAct Database for Accessing IMEx's Contextual Metadata of Molecular Interactions.

The International Molecular Exchange Consortium (IMEx) has evolved into a vital partnership of open resources dedicated to curating molecular interaction data from the scientific literature. This consortium, which includes IntAct, MINT, MatrixDB, and DIP, is a collaborative effort with a central mission of aggregating detailed molecular interaction experimental evidence in a machine-readable format, supported by controlled vocabularies and standard ontologies. The IntAct molecular interaction database (www.ebi.ac.uk/intact), as an IMEx partner, serves as a valuable portal for accessing IMEx data through user-friendly search options and an array of interactive filters. The resource currently hosts an extensive repository of 1,293,508 binary interactions meticulously captured from 75,098 experiments documented in 23,366 publications (as of the February 2024 release), with this corpora being added to by regular data releases. IMEx curation policy has consistently prioritized a fine-grained data and curation model, with a focus on capturing the relevant experimental details essential for interpreting molecular interaction data effectively. Our curation process is designed to support the generation of interactomes tailored to contexts such as disease-specific or tissue-/cell-type-specific interactomes. These interactions are ranked according to a scoring system based on the Proteomics Standard Initiative Molecular Interaction (PSI MI) standards. This scoring system allows users to assess the degree of confidence in binary interactions, enhancing the value of the data. The resource provides insights into the nature of relationships among interacting partners as defined by the experimental setup and the associated biological context. Interactive filters enable users to navigate these rich, multilayered data, promoting a deeper understanding of biological complexity. Additionally, the IntAct website fosters the creation of networks for collaborative analyses by the scientific community. The recent transformation of the IntAct website, supported by a graph-type database, empowers users to execute custom queries tailored to their specific research interests. This article illustrates the diverse levels of annotations available for interactions and the multiple search options at users' disposal to access data of interest. © 2024 European Molecular Biology Laboratory, European Bioinformatics Institute. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Using Quick Search, network visualization, and filters Support Protocol: Accessing fine annotations from intact: Unlocking the molecular details Alternate Protocol: Using batch search: Querying multiple interactors Basic Protocol 2: Using advanced search: Precision and customization.

Dimensionality Reduction via Multiple Neighborhood-Aware Nonlinear Collaborative Analysis for Hyperspectral Image Classification

Dimensionality Reduction via Multiple Neighborhood-Aware Nonlinear Collaborative Analysis for Hyperspectral Image Classification

CiteSpace에 기반한 중국 대운하 문화상품 디자인 특성 및 트렌드 분석 연구

This study will analyze the current state and trends in the field of the China Grand Canal cultural product design. By screening relevant literature from the CNKI database between 2014 and 2024, the study employs CiteSpace software to conduct bibliometric analysis and construct knowledge maps. The aim of this research is to uncover the key issues and emerging trends in the field of Grand Canal cultural product design, and to explore possible directions for its future development. Through co-occurrence analysis of keywords, analysis of author collaboration, and distribution of institutions, the study delves into the research dynamics and collaboration networks in this field. The findings suggest that although research on Grand Canal cultural product design has gradually increased since 2014, it remains largely exploratory, with relatively dispersed collaboration among researchers. Future development is likely to focus on interdisciplinary integration and the combination of regional cultural creativity to promote sustained progress in this field.

Synergisticity Of District National Zakat Amil Agency, Zakat Amil Institution And Pati Regional Government In Zakat Management

This research is motivated by the phenomenon of the existence of two groups managing zakat (government and society) making up two large parts of the field of zakat management in Indonesia. The government and its institutions are used as the main focus of zakat collection targets by the National Zakat Amil Agency (BAZNAS) while the general public and private companies are more targeted objects for zakat collectors by the National Zakat Amil Institute (LAZNAS). In terms of legal regulations, the implementation of zakat in Indonesia shows cooperation between BAZNAS and the government to collect zakat funds from government employees to all institutions. However, in reality the results of collecting zakat, infaq and alms are still far below the existing potential, so there is still a need for synergy in various fields for the two groups of zakat managers. The aim of this research is to find out how there is communication synergy, coordination synergy and innovation synergy between the Pati National Amil Zakat Agency, the Amil Zakat Institute and the Regional Government of Pati Regency in managing zakat. This type of research uses qualitative research methods with the researcher as the key instrument in recording and collecting data through interviews, observing, collecting documents from zakat collection institutions and the Pati district government. Meanwhile, data analysis was carried out using an interactive analysis model. The results of this research conclude that 1. The form of communication synergy between the National Amil Zakat Agency of Pati, the Amil Zakat Institute of the Ministry of Religion of Pati and the Regional Government of Pati Regency is carried out formally by invitation or coming directly to the institution, or communicating using a digital platform by prioritizing the context of mutual brotherhood. need in managing zakat. The messages conveyed in the communication process are of high quality because the language is communicative, the message content is needs-oriented and delivered in a friendly manner. Feedback from communication shows support, openness and sincerity as well as high enthusiasm and commitment. 2). The form of coordination synergy is coordination synergy in planning, potential, cooperation in zakat education, distribution, joint program synergy and synergy in reporting. The mechanisms for coordination synergy include goal setting, stakeholder identification, payroll collection. Coordination synergy in monitoring and evaluation by sharia auditors or public accountants. 3). Synergy of innovation is carried out in Strengthening Zakat Regulations including the issuance of Regent's regulations on zakat, the issuance of regional regulations on zakat, b. Institutional strengthening includes the development of new UPZs, collaborative data analysis with religious instructors, routine quarterly coordination with fellow zakat managers, c. Program synergy, including zakat education with socialization and guidance of UPZ, distribution of zakat other than ashnaf 8, distribution of zakat for disaster response

The trifecta against financial crime: A collaborative analysis of the roles of banks, consulting firms, and governments

The roles of banks, consulting firms and governments are intertwined in combating financial crime. Banks are on the frontlines as they process financial transactions and engage directly with customers. Banks are extraordinarily strategic because they interface with customers and are heavily involved in handling financial transactions worldwide. They watch accounts for any suspicious activity and report such activities to the legal bodies as expected under AML regulations. Consulting firms help banks, as well as other financial organizations to create various tools for evaluating threats and devising strategies for firms to conform to. They also do training in the area of financial crime prevention. Governments put in place measures in the form of legislation that seeks to prevent and curtail acts such as money laundering, financing of terrorism and tax evasion among others. Materials and Methods: The study’s literature was obtained from electronic databases. Only the articles that investigated the effectiveness and efficiency of anti-money laundering/counter-terrorist financing policies and regulations and/or sources that compared financial institutions’ cooperation with consulting companies and governmental agencies were included. Among the reviewed sources 53 from 1980 till 2023, which included academic books, journal articles, government and international organization reports. Results: The literature shows that relying on the regulation is inadequate for controlling finance related crimes. Banks have a profit-driven culture and it lacks scrupulousness towards integrity risks. For the same purpose, prescriptive regulations increase disproportionate compliance costs for small jurisdictions and financial institutions. Companies seeking risk management services get these from consulting firms that also profit from molding compliance frameworks. Syndication enables the employment of unique features possessed by each party. While the banks have an effective network and reach, the consulting firms can analyze data accurately, and the government has statutory power and control. Discussion: Shifting social norms are another driver: peoples’ behavior in financial markets today is a shift from that of even a decade ago and there is a need to address financial crime in a shared manner and increase cooperation at a global level. To put measures in place, the roles and responsibilities should be well defined based on strengths of each of the entities. Banks are also in good shape for transaction monitoring although they need some regulation to do so. Analyzing the motives for consulting firms, it is possible to state that the provision of technical solutions is possible only if there are factors that guarantee the transparency of actions. Governments provided the blueprint in achieving the proportionate, risk adjusted policies while leaving it to the private sector to drive the processes. This is because we have seen that financial globalization means that nations have to ideally move in synchrony. International agencies such as the UN, FATF, FSB, IMF and others have contributed to the development of international standards, whereas in national situations, the effects vary from one country to another. Conclusion: It can therefore be seen that no single entity can deal with such complicated concepts of transnational financial crimes in isolation. The utilization of the mandated strategies by banks, consulting companies and governments as essential collaborators in tandem with their core competencies is the most useful approach. This triumvirate, therefore, has great potential to add real value to anti-financial crime efficiency when properly aligned and adequately supervised in a manner consistently and holistically operationalized.

Implementasi K-Means Clustering pada Pengelompokan Pasien Penyakit Jantung

Heart disease is a prominent global health concern, necessitating early identification and patient grouping for effective management. This study employs the K-Means clustering algorithm with a medical dataset of 303 patients, encompassing various attributes. These include Age, Gender, Chest Pain Type, Blood Pressure, Serum Cholesterol Level, Fasting Blood Sugar, Resting Electrocardiographic Results, Maximum Heart Rate, Angina, ST Depression, and Slope of the ST Segment. The goal is to categorize patients into four clusters based on chest pain types, a crucial symptom indicating disease severity. The computation concludes after the sixth iteration, revealing Cluster 1 (27 patients), Cluster 2 (135 patients), Cluster 3 (15 patients), and Cluster 4 (126 patients). Collaborative analysis with medical experts highlights that Cluster 1, mainly comprising older males, exhibits high-risk indicators. While this grouping aids in personalized treatment strategy development, further clinical validation involving more experts and datasets is imperative for enhanced reliability.

Comparative Analysis of Impact, Collaboration, and Prestige of Open Access and Subscription Based LIS Journals Using SJR and Scopus Indicators

The study examines whether there exist any similarities in impact, author collaboration, and prestige between Open Access (OA) and Subscription based (SB) Library and Information Science (LIS) journals. The study selected highly appearing 32 core LIS journals in all four quartiles of SCImago database during 2018–2022. The Scopus database was utilized to extract CiteScore, SNIP, Total Articles, Citations, and publications data from 2018 to 2022, while h5-index was calculated manually and SJR scores were extracted from SCImago. Statistical tests (Student’s t-test and Mann-Whitney U-test) were conducted in R software, guided by normality and variance checks. The study reveals that SB LIS journals outperformed OA LIS journals in terms of impact and prestige based on several statistical tests on CiteScore and h5-index data. However, there was no significant difference in SNIP indicator for both datasets. On the contrary, the study revealed similarities in the degree of author collaboration in both datasets, with no significant difference. Besides, the study also determines SB LIS journals have a significant advantage in articles published per year and citations garnered per year during the study period. The insights of this study would help LIS researchers, stakeholders, and policymakers to consider OA publishing as an alternate medium for scholarly communication. It is vital for OA LIS journal stakeholders to consistently improve productivity, quality, and the peer review process, to slowly diminish the gap between OA and SB journals in terms of impact and prestige.

Toll-Like Receptor 2 Deficiency Exacerbates Dextran Sodium Sulfate-Induced Intestinal Injury through Marinifilaceae-Dependent Attenuation of Cell Cycle Signaling

Background: Ulcerative colitis (UC) is an intestinal disorder marked by chronic, recurring inflammation, yet its underlying mechanisms have not been fully elucidated. Methods: The current research dealt with examining the biological impacts of toll-like receptor 2 (TLR2) on dextran sulfate sodium (DSS)-triggered inflammation in the intestines of wild-type (WT) and TLR2-knockout (TLR2-KO) colitis mouse models. To elucidate the protective function of TLR2 in DSS-triggered colitis, RNA-sequencing (RNA-Seq) was carried out to compare the global gene expression data in the gut of WT and TLR2-KO mice. Further, 16S rRNA gene sequencing revealed notable variations in gut microbiota composition between WT and TLR2-KO colitis mice. Results: It was revealed that TLR2-KO mice exhibited increased susceptibility to DSS-triggered colitis. RNA-Seq results demonstrated that cell cycle pathway-related genes were notably downregulated in TLR2-KO colitis mice (enrichment score = 30, p < 0.001). 16S rRNA gene sequencing revealed that in comparison to the WT colitis mice, the relative abundance of Marinifilacea (p = 0.006), Rikenellacea (p = 0.005), Desulfovibrionaceae (p = 0.045), Tannerellaceae (p = 0.038), Ruminococcaceae (p = 0.003), Clostridia (p = 0.027), and Mycoplasmataceae (p = 0.0009) was significantly increased at the family level in the gut of TLR2-KO colitis mice. In addition, microbiome diversity-transcriptome collaboration analysis highlighted that the relative abundance of Marinifilaceae was negatively linked to the expression of cell cycle signaling-related genes (p values were all less than 0.001). Conclusion: Based on these findings, we concluded that TLR2-KO exacerbates DSS-triggered intestinal injury by mitigating cell cycle signaling in a Marinifilaceae-dependent manner.

Establishing a dedicated UTI clinic: Challenges and a guide to success

IntroductionUrinary tract infections (UTIs) have a significant impact on quality of life for patients and present complex management issues that challenge healthcare systems. Recognizing these challenges, dedicated UTI clinics are being established to provide comprehensive care. We aimed to explore the key elements, challenges, and potential solutions in setting up and running UTI clinics. By drawing insights from discussions with specialists from existing centres, we seek to provide guidance for healthcare professionals intending to establish UTI clinics de novo. MethodsWe conducted a qualitative study involving discussions with medical specialists from UTI clinics (Switzerland, UK, Netherlands). Initial insights were gathered through group discussion, followed by refinement through email correspondence. Analyses focused on identifying key themes associated with successful clinic operation, challenges encountered, and strategies employed to overcome them. ResultsKey elements identified in the running of successful UTI clinics included multidisciplinary and patient-centred approaches, as well as staff dedicated to the management of UTI. Discussions highlighted the importance of combining expertise from urology, clinical infectious diseases, nursing and microbiology to address complex UTI cases effectively. Challenges identified encompassed logistical issues in establishing multidisciplinary clinics, waiting lists, knowledge gaps, and resource allocation. Strategies to address these challenges varied depending on the context. ConclusionsDespite variations in clinic setups and patient populations, the common goal of UTI clinics is to improve patient outcomes and reduce the burden on healthcare systems. Future efforts should focus on effectiveness of different operational models to optimise complex UTI management. Building prospective patient cohorts and collaborative data analysis are crucial steps toward filling knowledge gaps and improving patient care.

An integration methodology of safety and security requirements for autonomous vehicles

Safety and security co-engineering is one of the latest challenge in autonomous vehicle (AV) development. Efficiently integrating safety and security requirements during co-engineering is a new issue. Most functional safety and security analysis methods do not directly derive safety requirements, and improper handling of their relationship can affect system design and timelines. This article aims to use large language models (LLMs) to assist in the collaborative work of functional safety and security analysis. The main contributions are as follows: First, we propose three types of formulations to summarize hazard scenarios and threat scenarios and use LLMs to extract functional safety requirements and security requirements from them. Second, we utilized the three LLMs to perform relationship checks on the extracted functional safety requirements and security requirements. The results showed that the majority of the checks were correct and consistent, with only a small portion requiring manual intervention, significantly reducing human labor. Through these methods, we demonstrate the potential and efficiency of LLMs in the collaborative analysis of functional safety and security.

Exercise and frailty in later life: A systematic review and bibliometric analysis of research themes and scientific collaborations

Exercise is a promising intervention for frailty, but optimal protocols and implementation approaches remain unclear. In this review, a bibliometric analysis was conducted to synthesize research growth, collaborations, intellectual structure, and gaps in the literature on frailty and exercise over the past two decades. The Web of Science and Scopus databases were searched for relevant publications from 1987 – 2024. The bibliometric analysis examined publication trends over time, contributing countries, institutions, authors, journals, research themes and hotspots, collaboration patterns, and evidence gaps. Data visualization and mapping were conducted using VOSviewer, Biblioshiny, and ScientoPy. A total of 447 publications were included in the analysis. The results indicate that research output has grown rapidly since 2010, led by the United States of America (USA), China, Japan, Spain, and Italy. The University of Valencia (n = 12) and the School of Medicine, USA (n = 11) were the most prolific institutions. Five key research clusters were identified through keyword analysis: (i) Frailty assessment, (ii) clinical trials, (iii) cognition, (iv) exercise protocols, and (v) physical outcomes. Regional collaborations were prominent between European, North American, and East Asia-Pacific countries. The bibliometric analysis revealed a surge in publications, with research concentrated in a few productive hubs. There is potential for newer institutions to emerge through international collaborations. Addressing gaps in qualitative, psychosocial, economic, implementation, and translational research could accelerate the translation of evidence into policy and practice. Continued knowledge sharing and partnerships focused on priority gaps can optimize exercise interventions amidst global population aging. This review synthesized the growth, collaborative landscape, and intellectual structure of research on frailty and exercise over nearly four decades. The findings provide insights to inform future research directions and facilitate the translation of evidence into optimized exercise protocols that can be implemented at scale to benefit frail older adults.

Multilateral collaborative governance of Arctic shipping safety: Examining the impact of the Arctic Council via collaborative network analysis

Global climate change has dramatically reduced Arctic sea ice, opening new potential shipping routes, which has garnered international attention. This study explores the role of the Arctic Council in the collaborative governance network focused on Arctic shipping safety. For this purpose, a collection of 49 collaborative events initiated by international organisations and the Arctic Council was used as the data sample. These events are divided into two groups, one containing all the events and the other excluding those initiated by the Arctic Council. As a result, two collaborative networks are developed and evaluated based on network density, average path length, network transitivity, centrality indices (degree, closeness, betweenness), and clustering analysis. The results demonstrate that the Arctic Council significantly enhances the network density and transitivity of the international collaboration network, and reshapes core-periphery dynamics and cohesive subgroup structures. For instance, under the influence of the Arctic Council, Canada, France, and Japan surpass the United Kingdom in centrality (degree, closeness, betweenness). Results of the clustering coefficients reveal the Arctic Council's impact on connections among states, leading to shifts in collaboration patterns. Additionally, subgroup cohesion and density coefficients confirm the Arctic Council's role in promoting collaboration among states and restructuring governance networks.

Teacher collaborative inquiry into practice in school-based learning communities: The role of activity type

This study contributes to growing scholarly interest in teacher-led, school-based learning communities and the characteristics of teacher dialogue and social interaction that support professional learning in these settings. Based on existing conceptual distinctions proposed in the literature, we term this type of teacher dialogue “collaborative inquiry into practice” (CLIP) and propose a systematic and reliable tool to measure it. We then employ a quantitative, comparative research design to study how different teacher team activities (i.e., video-analysis, peer consultations, and pedagogical planning) shape the extent to which teachers engage in CLIP. Fifty-four transcribed teacher meeting excerpts were analyzed with the CLIP coding scheme, assessing different aspects of inquiry-based reasoning, participation, and content. Quantitative comparisons and illustrative examples show that CLIP was lowest during peer consultations, in part because teachers were often not positioned as agents of change in such conversations. Pedagogical planning activities featured more instances of inquiry into each other's ideas. Contrary to common assumptions, collaborative video analysis activities were not characterized by increased attention to student thinking or inquiry orientation. Our findings provide new insights into teacher-led, collaborative learning in on-the-job settings, as well as practical implications for the design of school-based professional learning communities.

Automating production of de-identified linkable data

ObjectiveAn innovative large-scale automated method has been developed to produce de-identified linkable data. The objective is to create a wide pool of ready-to-use data to enable faster and wider collaborative analysis for the public good. ApproachA configurable automated pipeline prepares data for onward linkage at location, person, business and classification level through: Big data profiling pre- and post-processing, for overview of variables and characteristics Flagging potentially sensitive/identifiable variables Generalisable linkage methods for large-scale data, to enable the addition of unique IDs for onward linkage of de-identified data De-identification, hashing and redaction mechanisms, to remove and/or obscure sensitive/identifiable variables Automated production of metadata, capturing linkage quality and transformations across the data journey Quality assurance checks, including measure of linkage quality, assurance of variable derivations and redactions, and consistency checks on remaining data. ResultsThe pipeline enables a configurable automated approach to producing de-identified, linkable, ready-to-use data in a traceable and fully documented manner. To achieve this we have: overcome scalability issues in working with big data; implemented automation at various levels; and enabled standardisation across data types and data structures to deliver a consistent recognisable final product. Conclusions and ImplicationsBuilding an automated pipeline to enable onward linkage of de-identified administrative data was a complex process that has resulted in positive change around how our organisation operates and distributes data. This represents an important step towards future integration of linkage within the platform and the basis of future innovation in the area.

Managing Social Impact Bonds: Intermediary Work and Designing Institutional Infrastructure

Collaborations addressing grand challenges seek social impact; whether such social innovations will endure beyond initial enthusiasm is a major issue. Over the last decade, Social Impact Bonds (SIBs) emerged to diffuse globally as a new form of cross sector collaboration to finance solutions for social problems. Crucially, SIBs rely on intermediary organizations to coordinate and govern relations across diverse actors with competing and conflicting interests and values. How an intermediary goes about this work has significant effects on whether the collaboration achieves the desired social impact and whether it endures. In this article, we examine the intermediary work that enables such a cross-sector collaboration by analyzing two of the first completed SIBs in Continental Europe. Our findings identify three main types of interweaving intermediary work of aligning, stitching, and knotting, that are supported by three distinct forms of institutional infrastructure (ideational, operational, and relational respectively) providing a significant contribution to the analysis of cross-sector collaboration by connecting intermediary work to institutional infrastructure.

Exploring annotation taxonomy in grouped bar charts: A qualitative classroom study

Annotations are an essential part of data analysis and communication in visualizations, which focus a readers attention on critical visual elements (e.g. an arrow that emphasizes a downward trend in a bar chart). Annotations enhance comprehension, mental organization, memorability, user engagement, and interaction and are crucial for data externalization and exploration, collaborative data analysis, and narrative storytelling in visualizations. However, we have identified a general lack of understanding of how people annotate visualizations to support effective communication. In this study, we evaluate how visualization students annotate grouped bar charts when answering high-level questions about the data. The resulting annotations were qualitatively coded to generate a taxonomy of how they leverage different visual elements to communicate critical information. We found that the annotations used significantly varied by the task they were supporting and that whereas several annotation types supported many tasks, others were usable only in special cases. We also found that some tasks were so challenging that ensembles of annotations were necessary to support the tasks sufficiently. The resulting taxonomy of approaches provides a foundation for understanding the usage of annotations in broader contexts to help visualizations achieve their desired message.

Study of obesity research using machine learning methods: A bibliometric and visualization analysis from 2004 to 2023.

Obesity, a multifactorial and complex health condition, has emerged as a significant global public health concern. Integrating machine learning techniques into obesity research offers great promise as an interdisciplinary field, particularly in the screening, diagnosis, and analysis of obesity. Nevertheless, the publications on using machine learning methods in obesity research have not been systematically evaluated. Hence, this study aimed to quantitatively examine, visualize, and analyze the publications concerning the use of machine learning methods in obesity research by means of bibliometrics. The Web of Science core collection was the primary database source for this study, which collected publications on obesity research using machine learning methods over the last 20 years from January 1, 2004, to December 31, 2023. Only articles and reviews that fit the criteria were selected for bibliometric analysis, and in terms of language, only English was accepted. VOSviewer, CiteSpace, and Excel were the primary software utilized. Between 2004 and 2023, the number of publications on obesity research using machine learning methods increased exponentially. Eventually, 3286 publications that met the eligibility criteria were searched. According to the collaborative network analysis, the United States has the greatest volume of publications, indicating a significant influence on this research. coauthor's analysis showed the authoritative one in this field is Leo Breiman. Scientific Reports is the most widely published journal. The most referenced publication is "R: a language and environment for statistical computing." An analysis of keywords shows that deep learning, support vector machines, predictive models, gut microbiota, energy expenditure, and genome are hot topics in this field. Future research directions may include the relationship between obesity and its consequences, such as diabetic retinopathy, as well as the interaction between obesity and epidemiology, such as COVID-19. Utilizing bibliometrics as a research tool and methodology, this study, for the first time, reveals the intrinsic relationship and developmental pattern among obesity research using machine learning methods, which provides academic references for clinicians and researchers in understanding the hotspots and cutting-edge issues as well as the developmental trend in this field to detect patients' obesity problems early and develop personalized treatment plans.

A Unified Framework for Secure Healthcare Data Sharing: Integrating Federated Learning, Blockchain, and Quantum Cryptography

As the demand for secure and efficient data sharing in healthcare continues to grow, there is a pressing need for innovative solutions that ensure data privacy, integrity, and accessibility in multiple institutions. This study proposes a unified framework that integrates three cutting-edge technologies, federated learning, blockchain, and quantum cryptography, to address the complex challenges of secure data sharing in the healthcare sector. Federated learning enables decentralized data analysis by maintaining sensitive patient information locally, significantly reducing the risk of data breaches. Blockchain technology adds an immutable and transparent ledger to securely track data exchanges, ensuring compliance with stringent data governance standards. Quantum cryptography enhances the security of data transmission using quantum mechanics principles to prevent unauthorized access and guarantee the confidentiality of shared information. The proposed framework successfully combines these advanced technologies to fortify the security of healthcare data sharing. Promote collaborative analysis while maintaining patient privacy, leading to better patient outcomes and fostering greater trust among healthcare providers. By synergizing federated learning, blockchain, and quantum cryptography, the proposed framework represents a significant advance in secure healthcare data sharing. Not only does it address the urgent need for data security, it also supports global collaboration necessary to tackle healthcare challenges on an international scale.

Stability Analysis of Innovation Collaboration between Commercial Banks and Fintech Companies

Recently, there has been an increasing trend among commercial banks to collaborate with fintech companies in order to promote corporate innovation. However, due to the uncertainty and turbulence of the business environment, it is difficult for the collaborators to generate full trust to integrate knowledge and resources. Innovation collaboration often suffers from instability. The objective of this study is to identify the factors that influence the stability of innovation collaboration and clarify the path of collaboration evolution. Based on prospect theory and evolutionary game theory, this study first establishes an evolutionary game model between commercial banks and fintech companies (fintechs), and analyses the factors influencing the stability of their collaboration. The findings indicate that the benefits and costs of innovation collaboration, the fairness of income distribution, the complementarity of knowledge and technology, the synergy of collaboration, and the perceived value of gains and losses by partners all influence the stability of innovation collaboration. This study’s findings provide valuable guidance for banks and fintech companies to balance the benefits and costs of collaboration and improve the stability of collaboration. In the future, the government will be considered as a new game player, and bilateral relations will be considered as a new mode of collaboration in studying the stability of innovation collaboration.