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Producción Científica

 

 

This study aims to determine the conditions in the range of 2018-2023 related to scientific maps, publication trends, and the scope of thematic research in the field. On the theme of the online-based Adapted Physical Education Learning (APE) model, especially articles published in international journals with indexation of Scopus, PubMed, and Crossref. In addition to the research and data sources to be used in the bibliometric analysis as many as 2200 articles were found through the keywords “learning model”, “APE”, and “online” in the article title & abstract”. To explore and identify key thematic areas as well as topics that appear in publications using keyword co-occurrence analysis. To support data analysis and visualization processes obtained from Harzing’s Publish or Perish and VOSviewer applications. The results of this study show that the online learning model in APE is a research trend that has been in great demand in the last 5 years and is still developing. In the visualization section, high keyword density is presented in 8 clusters, namely: (1) student; (2) practice; (3) treatment; (4) study; (5) experience; (6) patient; (7) parent; and (8) strategy. Bibliometric analysis in the form of mapping provides information about publication development patterns in the field of online learning in APE. These findings contribute to future research, especially the need for in-depth research focusing on one or more themes that are still rarely studied such as treatment, risk factors, deep learning models, distress, healthy control, cyberbullying, professional health, and digital tools.

 

 

This paper presents a comprehensive bibliometric review of the scientific literature on women’s entrepreneurship in agriculture across developed and developing countries. The paper delineates the evolving landscape, challenges, and opportunities that shape women’s entrepreneurship experiences in agriculture in the contexts of developed and developing countries. Through a detailed bibliometric analysis of 728 papers from 1992 to 2022, employing performance analysis and science mapping, our methodology distinguishes itself by quantifying contributions and mapping the thematic evolution within this domain. Our study reveals the significant contributions of women entrepreneurs to agricultural innovation, sustainability, and rural development while facing systemic biases, limited access to resources, and societal stereotypes that hinder their entrepreneurial path. The paper underscores the disparity in women’s entrepreneurship between developed and developing regions, with developed countries showcasing lower participation rates in agricultural entrepreneurship but a higher presence in decision-making roles within agribusinesses. In contrast, developing countries display a higher engagement of women in entrepreneurship, driven by necessity and marked by significant contributions to food security and economic stability, though under challenging conditions. Notably, the paper highlights the underrepresentation of women’s agricultural endeavours in scholarly research, pointing to a gap in the documentation and understanding of their contributions. The study reveals emerging themes such as digital agriculture, climate resilience, sustainability, and innovation, pointing towards future research directions that could further empower women in agriculture. It calls for more inclusive research and policy-making to recognise and support women’s vital role in agriculture, advocating for a holistic approach to address women entrepreneurs’ challenges in different economic contexts. Through this analysis, the paper contributes to a deeper understanding of gender dynamics in agricultural entrepreneurship and suggests pathways for fostering more equitable and sustainable agricultural practices.

 

 

Objective: The purpose of this study is to identify and visualize from different perspectives the topic on occupational exposure in operating room (OEOR). Methods: In the Web of Science Core Collection (WoSCC), all the half-century data were retrieved from January 1st, 1973 to December 31st, 2022. CiteSpace, VOSviewer and Excel 2019 were employed to analyze and visualize data, based on publications, countries, institutions, journals, authors, keywords. Result: A total of 336 journal papers were found. The increase of publications virtually started in 1991, peaked in 2020 and has been slowing down ever since. USA played most significant part among all the 49 countries/regions, while Universidade Estadual Paulista out of 499 institutions published the most papers. International Archives of Occupational and Environmental Health bears the most documents and citations in all the 219 retrieved journals. There are 1847 authors found, among whom Hoerauf K is the most influential one. “Occupational exposure”, “nitrous oxide” and “operating room personnel” are the top 3 co-occurrences keywords. Conclusion: The trend in the field lies in “anaesthetic gas”, “blood borne pathogen”, “radiation” and “aerosol”, while “surgical smoke” and “occupational safety” are the recently researching hot spots in this study. Accurate recognize and effective protection are always essential subjects for researchers.

 

 

Background: Lung cancer ranks as one of the most rapidly growing malignancies. Which is characterized by its poor prognosis and a low survival rate due to late diagnosis and limited efficacy of conventional treatments. In recent years nanotechnology has emerged as a promising frontier in the management of lung cancer, presenting novel strategies to enhance drug administration, improve therapeutic efficiency, and mitigate side effects. This research comprehensively evaluates the current state and research trends concerning the application of nanomaterials in lung cancer through bibliometric analysis. Materials and methods: We employed a systematic approach by retrieving studies from the Scopus database that focused on nanomaterials and lung cancer between 2003 and 2023. Subsequently, we carefully selected relevant articles based on predetermined inclusion criteria. The selected publications were then subjected to bibliometric and visual analysis using softwares such as VOSviewer and Biblioshiny. Results: A total of 3523 studies that meet inclusion criteria were selected for bibliometric analysis. We observed a progressive increase in the number of annual publications from 2003 to 2023, indicating the growing interest in this field. According to our analysis, China is the primary contributor to publication output among the countries. The “Ministry of Education of the People’s Republic of China” was the most influential institution. Among the authors, “Dr. Jack A. Roth” and “Dr. Huang Leaf” had the highest number of publications and cited publications, respectively. The “International Journal of Nanomedicine” was found to be the most prolific journal in this field. Additionally, “Biomaterials” emerged as the most cited journal. Through keyword analysis, we identified five main research themes and future research directions; nono-immunotherapy and green synthesis are the hot topics in this research field. Conclusion: Our study summarized the key characteristics of publications in this field and identified the most influential countries, institutions, authors, journals, hot topics, and trends related to the application of nanomaterials in lung cancer. These findings contribute to the existing body of knowledge and serve as a foundation for future research endeavors in this area. More effective efforts are needed in this field to reduce the burden of lung cancer and help achieve the United Nation’s Sustainable Development Goals.

 

 

This study explores orientations in the study of sustainability strategy in agribusinesses using quantitative and qualitative research methods. The quantitative aspect involved a bibliometric analysis of scientific publications in the Scopus and Web of Science databases on publications in the area of business and management, while the qualitative approach involved a systematic analysis to determine strategic orientations. The research methodology used was the Constructivist and Knowledge Development Process (Proknow-C), which includes four stages: (1) portfolio selection, (2) bibliometric analysis of the portfolio using bibliometric software, (3) systematic analysis and (4) identification of future research. The results revealed four strategic directions for sustainability: Corporate Social Responsibility, Standards and Traceability, Innovation and Environmental Performance, and Governance and Food Safety. In addition, two areas for future research were identified: corporate sustainability policies and management practices. Although there is a considerable amount of literature on sustainability, research in agribusiness is still in its infancy and there is a need to deepen the interactions between the economic, environmental and social dimensions in order to promote business strategies in agribusiness that foster sustainable development.

 

 

The use of artificial intelligence (AI) in the segmentation of liver structures in medical images has become a popular research focus in the past half-decade. The performance of AI tools in screening for this task may vary widely and has been tested in the literature in various datasets. However, no scientometric report has provided a systematic overview of this scientific area. This article presents a systematic and bibliometric review of recent advances in neuronal network modeling approaches, mainly of deep learning, to outline the multiple research directions of the field in terms of algorithmic features. Therefore, a detailed systematic review of the most relevant publications addressing fully automatic semantic segmenting liver structures in Computed Tomography (CT) images in terms of algorithm modeling objective, performance benchmark, and model complexity is provided. The review suggests that fully automatic hybrid 2D and 3D networks are the top performers in the semantic segmentation of the liver. In the case of liver tumor and vasculature segmentation, fully automatic generative approaches perform best. However, the reported performance benchmark indicates that there is still much to be improved in segmenting such small structures in high-resolution abdominal CT scans.

 

 

Objective: Traditional Chinese non-pharmacological therapy has gained popularity in the management of overweight and obesity. This study aims to reveal trends and hotspots of global research on traditional Chinese non-pharmacological therapies for overweight and obesity. Methods: Publications on traditional Chinese non-pharmacological therapies for overweight and obesity between 2004 and 2023 were searched from the Web of Science Core Collection. Bibliometric analyses and visualization were performed using VOSviewer, CiteSpace, and R software. Results: A total of 566 publications from 246 journals were included in this study. Annual number of publications and cited times in the field were generally increasing. China contributed the most publications, followed by the United States and Republic of Korea, and Chengdu University of Traditional Chinese Medicine from China had the highest number of publications among institutions. Stener-Victorin E was not only the most productive author but also, along with Cabioglu MT, the most cited authors. Evidence-Based Complementary and Alternative Medicine was both the largest source journal and the most cited journal. The highly cited references mainly consists of clinical trials, narrative reviews and systematic reviews focusing on acupuncture therapy. Keywords analysis indicated that acupuncture therapy and traditional Chinese exercise constituted the main components of traditional Chinese non-pharmacological therapy in weight management. Conclusions: This study revealed a growing interest in traditional Chinese non-pharmacological therapies for managing overweight and obesity, with acupuncture therapies and traditional Chinese exercises as the main research focuses. This study offers insights into traditional Chinese non-pharmacological therapies in weight management, and may benefit further research.

 

 

Understanding innovation ecosystems and the circular economy is crucial for systemic change in business and industry, fostering eco-innovation and advancing sustainable development. This study uses bibliometric analysis to uncover the research trends, patterns, and collaborations, revealing a significant gap in understanding the interactions between innovation ecosystems and the circular economy and offering potential avenues for future research that align with sustainable development. The analysis was carried out with the help of Biblioshiny and VOSviewer on the final selected documents of 2981 from the Scopus database through a search query and the SPAR-4-SLR stages of filtration. The key findings of the study are as follows: collaboration among countries involves accessing countries’ resources, knowledge, markets, and location. The study explores research trends in the innovation ecosystem and circular economy, focusing on five key clusters: the circular economy for eco-innovation and resource recovery, circular business models for fostering sustainable innovation in the bioeconomy, sustainability through renewable energy and sdgs, the sustainable business model for enhancing green innovation through entrepreneurship, and Artificial Intelligence (AI) and the circular business model in Industry 4.0. The bibliometric analysis identifies trends, research gaps, and collaboration patterns, revealing potential avenues for future exploration in industrial symbiosis, energy transition, and the system of innovation. The study analyzed only the documents available in Scopus. The exclusion of papers based on the search period, language, document type, and incomplete details are the limitations of this research and open the scope of potential future research. The findings will help existing researchers in this field as well as new researchers interested in this field by clearly understanding trends and further research scopes. The study also offers actional recommendations and practices to policymakers. Practices, and entrepreneurs for the attainment of global sustainability goals. The novelty and originality of this study rely on a thorough literature review that describes the state of the art in the innovation ecosystem and circular economy.

 

 

Biomass-based hydrogen production is an innovative approach for realizing carbon-neutral energy solutions. Despite their promise, both structures differ in terms of the biomass energy domain, which is at the entry point of the technology, and the hydrogen energy domain, which is at the exit point of the technology. In this study, we conducted structural and predictive analyses via cross-domain bibliometric analysis to clarify the differences in the structures and perspectives of researchers across domains and to suggest ways to strengthen collaboration to promote innovation. Our study revealed that the hydrogen energy domain has a balanced impact on realizing a hydrogen society using biomass-based hydrogen production technology, while the biomass energy domain has a strong interest in the process of processing biomass. The results reveal that different communities have different ideas about research, resulting in a divide in the areas to be achieved. This comparative analysis reveals the importance of synergistic progress through interdisciplinary efforts. By filling these gaps, our findings can lead to the development of a roadmap for future research and policy development in renewable energy and highlight the importance of a unified approach to sustainable hydrogen production. The contribution of this study is to provide evidence for the importance of cross-disciplinary cooperation for R&D directors and policy makers.

 

 

Sclerocarya birrea (A. Rich.) Hochst. is an African wild tree found in many countries across the continent. Its leaves, bark, root, and fruits are used in food, cosmetics, and traditional medicine. However, no systematic bibliometric review on S. birrea have been performed so far. This study covered publications made in 1986–2022 and investigated such bibliometric indicators as knowledge dynamics, links and structure, relevant journals, productive organizations, renowned authors, authoring patterns, national and international collaboration levels, etc. The bibliometric data on a total of 369 publications were downloaded from Scopus database and analy-zed using the MS-Excel and VOSViewer software. The Scopus publications on S. birrea showed a versatile range in the interdisciplinary areas of research, with agricultural and biological sciences predominating. The Republic of South Africa was responsible for the largest number of citations. All in all, 63 countries published research on S. birrea in the specified time period, and the share of African countries was 65.43% of the total global research. Co-authorship and international collaboration were registered for six clusters. A total of 1114 researchers and 160 institutions actively contributed to S. birrea studies, with 37 having a minimum of five publications. Mapping of knowledge structure using the keyword co-occurrence revealed the related research areas. The Journal of Ethnopharmacology took the lead in terms of average citation. The co-citation analysis revealed some remarkable dynamics in S. birrea research. This bibliometric study provides a complete insight into S. birrea research development and publication patterns over the last 36 years.

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