Producción Científica

 

 

The emergence of COVID-19 has boosted internal communication as a central axis in the corporate environment, establishing itself as a key trend in 2024. This article examines the evolution and impact of internal communication in the business world since the appearance of the mentioned virus, with an analysis of selected publications in the months following the pandemic until the present in Scopus and the Web of Science. Through this study, the importance of internal communication in promoting well-being and effective leadership is highlighted, as well as its impact on transforming work practices and corporate culture, offering a detailed understanding of its benefits and added value for both organizations and employees.

 

 

This study provides a bibliometric analysis of global scientific production on Conservation Agriculture (CA) and its relationship with climate change mitigation. Using data from the Scopus and Web of Science databases, the research encompassed 650 articles published between 1995 and 2022. The analysis revealed significant growth in the number of publications over the past three decades, driven by increasing global interest in sustainable agricultural practices. The findings highlight key themes, including no-tillage, soil organic carbon, and greenhouse gas emissions. Collaboration networks were mapped, identifying major contributors, such as the USA, Brazil, and China, alongside thematic clusters emphasizing carbon sequestration and soil management. Results indicate that CA research is increasingly focused on its potential to mitigate climate change, particularly through practices like no-tillage, vegetative cover, and crop rotation. While carbon sequestration has been central to CA research, recent studies have expanded to include nitrous oxide and methane emissions, indicating a broadening conceptual framework. This analysis underscores the importance of CA in addressing climate challenges and offers insights into emerging research areas, such as regional adaptations and the long-term effects of no-till systems. The findings aim to guide future research and policy development in sustainable agriculture and climate mitigation.

 

 

The challenge of high energy consumption and carbon emissions within China’s construction industry has become increasingly urgent, as over 40% of buildings are still non-energy efficient. The multifaceted nature of systems involved in building retrofits results in a complex project, with barriers in both retrofit design and construction becoming increasingly evident. This research comprehensively assesses the common barriers in building retrofits and investigates the potential for integrating energy-efficient retrofits with information flow modeling from an interdisciplinary perspective. In order to pinpoint the main barriers hindering building retrofits, this study employs the bibliometric software VOSviewer. The analysis uncovers that the primary obstacles to energy-saving renovations are categorized into technical, economic, environmental, and other barriers. These barriers are characterized by a high degree of specialization, the inadequate integration of information, and limited collaboration among stakeholders. Subsequently, a qualitative literature review was conducted following the PRISMA methodology, which screened 40 key sources. The following conclusions were drawn: (1) The design of energy-saving renovation processes is impeded by the limited professional perspectives within the construction industry, which restricts the practical applicability; (2) Decision making for energy-saving renovations encounters notable professional barriers and suffers from inadequate information integration; (3) There is a lack of clarity regarding information needs during the implementation phase, and no effective platform exists for information coordination; (4) Risk analyses in complex energy-saving renovations largely depend on expert interviews, lacking robust scientific tools. These findings highlight that knowledge gaps and information asymmetry are the central challenges. To tackle these issues, this paper suggests the implementation of an information flow model that integrates the IDEF0 and DSM for building energy-saving retrofit projects. The IDEF0 model can clearly describe the interaction relationship of all expert information through functional decomposition, while the DSM can show the dependency relationship and information flow path among specialties through the matrix structure. This model is anticipated to enhance professional information integration and collaboration. It is proposed that improved information integration and collaboration under this framework will significantly promote the advancement of professional generative AI.

 

 

The global transition to sustainable energy systems has placed the use of electric vehicles (EVs) among the areas that might contribute to reducing carbon emissions and optimizing energy usage. This paper presents a bibliometric analysis of the interconnected domains of EVs, artificial intelligence (AI), machine learning (ML), and deep learning (DL), revealing a significant annual growth rate of 56.4% in research activity. Key findings include the identification of influential journals, authors, countries, and collaborative networks that have driven advancements in this domain. This study highlights emerging trends, such as the integration of renewable energy sources, vehicle-to-grid (V2G) schemes, and the application of AI in EV battery optimization, charging infrastructure, and energy consumption prediction. The analysis also uncovers challenges in addressing information security concerns. By reviewing the top-cited papers, this research underlines the transformative potential of AI-driven solutions in enhancing EV performance and scalability. The results of this study can be useful for practitioners, academics, and policymakers.

 

 

Human-wildlife conflict (HWC) affects both wildlife sustainability and human wellbeing. Current strategies for human-wildlife conflict are often fragmented and predominantly conservation-focused, lacking the necessary coordination and support from other impacted sectors. This study aims to explore the global research landscape on HWC through bibliometric analysis, using the Scopus database as the primary source and VOSviewer software for data analysis. A total of 4,822 articles were found in the study of human-wildlife conflict. This study has been researched by a total of 4,065 authors widely distributed all over the world, with most of the studies from the United States of America. This study also analyzed four type of clusters which are: a) Human-wildlife management, b) Human-animal physiology, c) Human-carnivore conflict, and d) Conservation and policy. The interest in HWC research has notably increased, with publications covering 24 subject categories in the Scopus Database. Most of these publications are found in Environmental Science, followed by Agricultural and Biological Sciences, and Social Sciences. This study highlights several gaps such as the lack of study in the social dimensions on HWC, lacking in the strategies towards human-wildlife co-existence, and policy gap between regional. This research contributes to community awareness and conservation initiatives, providing essential data and insights for policy-making towards the human-wildlife co-existence. This study emphasizes the involvement of various stakeholders—from local communities to governments and NGOs—assists in crafting comprehensive and inclusive policies.

 

 

Background: Oxidative stress is widely acknowledged as a key pathogenic mechanism in diabetic nephropathy (DN). In recent years, the role of oxidative stress in DN has garnered increasing attention. However, no bibliometric analysis has yet been conducted on the relationship between oxidative stress and DN. This study aims to systematically analyze the relevant literature, identify trends in research, assess current hotspots, and predict future directions. Methods: We retrieved literature related to oxidative stress and DN from the Web of Science Core Collection database. We analyzed data on publication volume, countries/regions, institutions, journals, keywords, and other relevant metrics using VOSviewer, the Bibliometrix R package, and CiteSpace. Results: From 2014 to 2024, a total of 4076 publications related to oxidative stress and DN were published across 755 journals, showing a consistent upward trend each year. China and the United States are the leading contributors in this field and demonstrate close collaborative efforts. The top contributors by country, institution, journal, and author include: China (1919 publications), Jilin University and Central South University (69 publications each), BIOMEDICINE & PHARMACOTHERAPY (117 publications), and Prof. Sun Lin (33 publications). The most frequent keyword is “oxidative stress” (3683 occurrences). In the co-citation analysis, Alicic RZ’s 2017 study was the most cited (144 citations). These findings highlight the critical importance of investigating the pathogenesis of DN from the oxidative stress perspective. Conclusion: This study demonstrates a steady increase in research on oxidative stress in DN since 2014, highlighting its central role in the pathogenesis of DN. Future research should focus on the molecular mechanisms of oxidative stress in DN and explore its therapeutic potential, to provide new strategies for the prevention and treatment of DN.

 

 

Entrepreneurial orientation (EO) and environmental sustainability (ES) has recently become the subject of extensive research. The objective of this paper is to comprehensively analyze of EO and ES by conducting a bibliometric network and systematic review analysis of over ten years of publications. A total of 390 articles were identified using the Scopus and Mendeley search engines. One hundred-eighteen articles published in 53 journals between 2012 and 2021 were identified for analysis. Association analysis was conducted by author, co-author, and keyword, as well as keyword analysis by title and abstract fields, abstract field, and title field words with the highest frequency and highest relevance score under the binary counting approach. Performance, entrepreneurial orientation, relationship, entrepreneurship, entrepreneur, and business keywords were the most dominant occurrences in the abstracts. Key topics included models for entrepreneurial orientation; environmental sustainability was potentially more comprehensive in understanding the review work. This comprehensive review holds substantial theoretical significance for advancing the agenda of ecological entrepreneurial orientation and environmental sustainability. The findings of the study will help academics and researchers to identify future research directions and subject areas.

 

 

Introduction: Polycystic ovary syndrome (PCOS) is a common gynecological condition affecting individuals of reproductive age and is linked to the gut microbiome. This study aimed to identify the hotspots and research trends within the domain of the gut microbiome in PCOS through bibliometric analysis. Methods: Utilizing bibliometric techniques, we examined the literature on the gut microbiome in PCOS from the Web of Science Core Collection spanning the period from 2012 to 2023. Analytical tools such as CiteSpace, VOSviewer, and Bibliometric R packages were employed to evaluate various metrics, including countries/regions, institutions, authors, co-cited authors, authors’ H-index, journals, co-references, and keywords. Results: A total of 191 publications were identified in the field of gut microbiome in PCOS, with an increase in annual publications from 2018 to 2023. People’s Republic of China was the most productive country, followed by the United States of America (USA), India. Shanghai Jiao Tong University, Fudan University, and Beijing University of Chinese Medicine were the top three most publications institutions. Thackray VG was identified as the most prolific author, holding the highest H-index, while Liu R received the highest total number of citations. The journal “Frontiers in Endocrinology” published the most articles in this domain. The most frequently co-cited reference was authored by Qi XY. The analysis of keyword burst detection identified “bile acids” (2021–2023) as the leading frontier keyword. Additionally, “gut dysbiosis,” “phenotypes,” “adolescents,” “metabolomics,” “metabolites,” “fecal microbiota transplantation,” and “IL-22” have emerged as the primary keywords reflecting recent research trends. Conclusion: This bibliometric analysis explores how the gut microbiome influences endocrine and metabolic disorders related to PCOS, emphasizing its role in the development of PCOS and treatments targeting the gut microbiome. The findings serve as a valuable resource for researchers, enabling them to identify critical hotspots and emerging areas of investigation in this field.

 

 

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

 

 

Collaboration in science is important because it can lead to efficient knowledge exchange and grow scientific understanding. Examining the nature of co-authorship on reports and peer- reviewed papers can give insight into aspects of science collaboration. Here we examine the bibliographic networks of scientists who provide the scientific basis for Australian fisheries decision making using the methods of stock assessment. We focus on Australian stock assessments and determine co-author clustering around organisation, geolocation, and fished species. For the peer- reviewed literature there is evidence of clustering around a few individual authors characterised by their large number of publications and their relatively frequent first authorship. These stock assessment networks are vulnerable because knowledge exchange may be constrained by repeat collaboration with the same central co-authors who are mostly from the same organisation, leading to siloing. However, this does not mean the stock assessments are necessarily wrong. We also find that network connectedness is highly influenced by a few papers that have a higher-than-average number of co-authors, many of which involve “one-off” authors. This study highlights the need for increased and diversified collaboration, facilitation of interactions, and greater information sharing, among stock assessment scientists who provide the scientific basis for fisheries decision making. This needs to be balanced against the capacity of the available pool of stock assessment scientists.