UNASSIGNED: Pharmaceutical management is a new frontier subject between pharmacy, law and management, and related research involves the whole process of drug development, production, circulation and use. With the development of medical systems and the diversification of patients\' drug needs, research in the field of pharmaceutical management is becoming increasingly abundant. To clarify the development status of this field, this study conducted a bibliometric analysis of relevant literature in the field based on the knowledge graph method for the first time and explored the evolutionary trends of research hotspots and frontiers.
UNASSIGNED: Literature was obtained from the Web of Science Core Collection database. CiteSpace 6.2.R4 (Advanced), VOSViewer, Scimago Graphica, Pajek and the R programming language were used to visualize the data.
UNASSIGNED: A total of 12,771 publications were included in the study. The publications in the field of pharmaceutical management show an overall increasing trend. In terms of discipline evolution, early research topics tended to involve the positioning of pharmacists and pharmaceutical care and the establishment of a management system. From 2000 to 2005, this period tended to focus on clinical pharmacy and institutional norms. With the development of globalization and the market economy, research from 2005 to 2010 began to trend to the fields of drug markets and economics. From 2010 to 2015, research was gradually integrated into health systems and medical services. With the development of information technology, after 2015, research in the field of pharmaceutical management also began to develop in the direction of digitalization and intelligence. In light of the global pandemic of COVID-19, research topics such as drug supply management, pharmaceutical care and telemedicine services under major public health events have shown increased interest since 2020.
UNASSIGNED: Based on the knowledge mapping approach, this study provides a knowledge landscape in the field of pharmaceutical management research. The results showed that the reform of pharmacy education, the challenge of drug management under the COVID-19 pandemic, digital transformation and the rise of telemedicine services were the hot topics in this field. In addition, the research frontier also shows the broad prospects of the integration of information technology and pharmaceutical management, the practical value of precision pharmaceutical services, the urgent need of global drug governance, and the ethical and legal issues involved in the application of artificial intelligence technology in drug design, which points out the direction for the future development of pharmaceutical practice.

BACKGROUND: In the past decade, the evolution of themes in the field of osteoporotic fractures has changed from epidemiology and prediction of long-term morbidity, risk assessment of osteoporotic fractures, and zoledronic acid and denosumab in the treatment of osteoporosis to treatment guidelines for osteoporosis and the side effects caused by anti-osteoporotic drugs.
OBJECTIVE: To understand the trends and hotspots in osteoporotic fracture research.
METHODS: Original articles were retrieved between January 1, 2010, and December 31, 2019, from the Web of Science Core Collection database. CiteSpace software facilitated the analysis and visualization of scientific productivity and emerging trends.
RESULTS: Nine studies were identified using bibliometric indices, including citation, centrality, and sigma value, which might indicate a growing trend. Through clustering, we identified six major hot subtopics. Using burst analysis, top-5 references with the strongest bursting strength after 2017 were identified, indicating a future hotspot in this field.
CONCLUSIONS: Current hot subtopics in osteoporotic fracture research include atypical femoral fractures, androgen deprivation therapy, denosumab discontinuation, hip fractures, trabecular bone score (TBS), and bone phenotype. Management and prevention of secondary fractures in patients with osteoporotic fractures, TBSs, and long-term administration strategy for zoledronic acid are expected to become research hotspots.

Microfinance has gained significant attention as a social innovation, offering flexible and low-cost financial services to households who are otherwise excluded from formal financial services. Over the years, numerous research works have expanded the knowledge base of microfinance. Applying bibliometrics, we summarise findings from 1599 articles published between 1987 and 2022. Our performance analysis reveals insights into the research trend, including its geographical distribution, the theories under examination, and the most influential publications. More importantly, the knowledge foundation and thematic analysis categorize microfinance research into three broad themes, viz. impact of microfinance, management of microfinance and performance and efficiency of microfinance. Furthermore, we trace the evolution of various research topics and forecast future trends using periodical average publication years over time. This study, therefore, serves as a valuable reference in microfinance research both for new researchers and seasoned academics, as well as policymakers, providing insights into research trends, seminal works, and future directions.

Entrepreneurship is a crucial driver of economic growth, especially in rural areas. Understanding the unique components that contribute to the success of rural entrepreneurial ecosystems is essential. This study presents a cutting-edge approach to uncover the essential components of rural entrepreneurial ecosystems that support rural entrepreneurship. We employ bibliometric techniques that enable us to leverage the Scopus database\'s academic paper metadata related to entrepreneurial ecosystems. Through citation analysis, we identify a core network of studies related to entrepreneurial ecosystems. Co-occurrence analysis visualizes the clusters of the most prominent components in both general and rural entrepreneurial ecosystems. We interpret the results based on a literature review. Our study categorizes the essential components into two: actor (academics, business, government, and community) and non-actor (human capital, network, entrepreneurial culture, financial systems, governance systems, infrastructure, environmental resources, and market) components. Environmental resources are critical in distinguishing the conditions of an entrepreneurial ecosystem in rural areas. This component represents the uniqueness and local economic potential of smaller areas, whereas in general entrepreneurial ecosystem studies, this component might not be a concern. By uncovering the components of rural entrepreneurial ecosystems, our study provides insights that can help policymakers, practitioners, and academics better support rural entrepreneurship and promote economic growth in rural areas.

Sequencing-based spatial transcriptomics (ST) methods allow unbiased capturing of RNA molecules at barcoded spots, charting the distribution and localization of cell types and transcripts across a tissue. While the coarse resolution of these techniques is considered a disadvantage, we argue that the inherent proximity of transcriptomes captured on spots can be leveraged to reconstruct cellular networks. To this end, we developed ISCHIA (Identifying Spatial Co-occurrence in Healthy and InflAmed tissues), a computational framework to analyze the spatial co-occurrence of cell types and transcript species within spots. Co-occurrence analysis is complementary to differential gene expression, as it does not depend on the abundance of a given cell type or on the transcript expression levels, but rather on their spatial association in the tissue. We applied ISCHIA to analyze co-occurrence of cell types, ligands and receptors in a Visium dataset of human ulcerative colitis patients, and validated our findings at single-cell resolution on matched hybridization-based data. We uncover inflammation-induced cellular networks involving M cell and fibroblasts, as well as ligand-receptor interactions enriched in the inflamed human colon, and their associated gene signatures. Our results highlight the hypothesis-generating power and broad applicability of co-occurrence analysis on spatial transcriptomics data.

This bibliometric review examines the research state of artificial intelligence (AI) and machine learning (ML) applications in the Banking, Financial Services, and Insurance (BFSI) sector. The study focuses on Scopus-indexed articles to identify key research clusters. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, 39,498 articles were screened, resulting in 1045 articles meeting the inclusion criteria. N-gram analysis identified 177 unique terms in the article titles and abstracts. Co-occurrence analysis revealed nine distinct clusters covering fintech, risk management, anti-money laundering, and actuarial science, among others. These clusters offer a comprehensive overview of the multifaceted research landscape. The identified clusters can guide future research and inform study design. Policymakers, researchers, and practitioners in the BFSI sector can benefit from the study\'s findings, which identify research gaps and opportunities. This study contributes to the growing literature on bibliometrics, providing insights into AI and ML applications in the BFSI sector. The findings have practical implications, advancing our understanding of AI and ML\'s role in benefiting academia and industry.

OBJECTIVE: This bibliometric study aims to reveal the current situation, cooperative teams, and future development trends of acupuncture for shoulder pain (SP).
METHODS: The data source is the Web of Science Core Collection. The software programs used in this study are VOSviewer, Pajek, CiteSpace, Scimago Graphica, and Microsoft Excel. Co-occurrence analysis, descriptive statistical analysis, and burst keywords analysis are applied to analyze paper authors, institutions, countries or regions, keywords, and citations.
RESULTS: This study included 350 papers. In the first 30 years since 1976, the number of papers published was very limited. Since 2004, it has shown rapid growth momentum. High-yield countries and institutions were China (92) and Kyung Hee University (18), respectively. In terms of the cooperative relationship, the USA (centrality 0.34) and Beijing University of Chinese Medicine (centrality 0.15) play central roles in the team. The author Macpherson H ranked first with 10 published papers. Evidence Based Complementary and Alternative Medicine (27) has published the most papers. The keywords are grouped into five clusters. The most recent burst keywords include stroke, electroacupuncture, diagnosis, disability, stimulation, mechanism, bee venom acupuncture, and systematic review.
CONCLUSIONS: In general, the research and international cooperation of acupuncture for SP will continue to emerge. Most of the current studies believe that acupuncture for SP is effective, and more studies will appear to verify its effectiveness. More well-designed trials will be introduced. More classification and detailed treatment methods for SP will be introduced to this research field.

UNASSIGNED: Traditional Chinese Medicine (TCM) is effective as a cancer treatment modality. However, this is the first bibliometric analysis of TCM in lymphoma treatment.
UNASSIGNED: This study explores the current trends and research topics of TCM in treating lymphoma from 2000 to 2023.
UNASSIGNED: We searched within the Web of Science Core Collection (WoSCC) for publications on TCM in lymphoma treatment, spanning 2000 to 2023. Subsequently, we employed a comprehensive approach utilizing CiteSpace software and VOSviewer to visually analyze research trends, authors, institutions, co-cited references, and keywords.
UNASSIGNED: From January 1, 2000, to August 31, 2023, annual scientific publications on TCM for lymphoma treatment have steadily increased. Among the leading institutions in this field, the Beijing University of Chinese Medicine and the Fujian Medical University occupied the top positions. Regarding the authors, Jun Peng, Jiumao Lin, and Hongwei Chen emerged as the top three contributors. In the co-citation analysis of references, the top three co-cited references were authored by Hanahan D, Elmore S, and Livak KJ with citations numbered 13, 14, and 17, respectively. In particular, keywords reflecting current emerging trends included \'pathway\', \'traditional Chinese medicine\', \'oxidative stress\', and \'macrophage polarization\'.
UNASSIGNED: This bibliometric analysis provides a comprehensive overview of TCM for lymphoma treatment. This analysis identified the predominant trends and research topics in the field. The findings are expected to be of significant value for researchers who focus on TCM in lymphoma treatment, helping them better understand the development of this field.

PVC is widely used in packaging, electrical insulation, and medical devices due to its versatility owing to its resistance, incombustible and barrier properties as well as affordable cost. In the present study, bibliometric and co-occurrence analyses are proposed to identify trends, gaps, future directions, and challenges regarding process system engineering (PSE) applied to the production process of PVC using VOSviewer as a tool for analyzing the data obtained from SCOPUS. A mapping of different topics alluding to simulation of PVC production was provided to gain a better insight into the development of the topic and its progression. The findings indicate that the literature on this topic falls into five different clusters: modeling and simulation of PVC production, process control and optimization, and optimization strategies of the process. From a co-occurrence study we identified that mathematics and statistics applied to polymer chemistry, separation phenomena, and polymer production are the main areas of interest for further research. The trends suggest that Monte Carlo and numerical simulation can contribute to a deeper understanding of PVC\'s properties and behavior. In addition, the focus on plastics and microplastics reflects concerns about the environmental impact. A bibliometric study evidenced that PSE provides the tools for improvement in PVC production processes by employing advanced process engineering techniques. Modelling and new algorithms for simulation methods of continuous polymerization processes are important to enhance accuracy and efficiency across various applications. The study also proposes a research agenda for future researchers working in the field of the use of PSE applied to the PVC production process.

The postmodern medical paradigm has empowered online users in the (de)legitimating process of health-related topics. By employing a co-occurrence analysis, this study identifies the thematic patterns used by Romanian online users in their multimodal comments to the #storiesfromvaccination Facebook campaign run by the Romanian government. The findings show that the commenters assessed source credibility through two thematic patterns: \'source exemplarity\' and \'source distrust\'. Health experts were more legitimized than laypersons and role models as sources in the COVID-19 vaccination campaign. Two thematic patterns emerged in the assessment of vaccination, namely: \'immunization - past and present challenges\' and \'vaccination supporter versus opponent cleavage\'. In the discussion on immunization, a polarization between a nostalgic longing for the past and a present corrupted medical and political system prevailed, whereas the important feature of discursive antagonism could be observed in the latter thematic pattern. The co-occurrences of (de)legitimation strategies are explained with reference to the political and medical context, along with the challenges of social media usage in online vaccination communication campaigns.