Producción Científica

 

 

With its potential to contribute to the ethical governance of AI, eXplainable AI (XAI) research frequently asserts its relevance to ethical considerations. Yet, the substantiation of these claims with rigorous ethical analysis and reflection remains largely unexamined. This contribution endeavors to scrutinize the relationship between XAI and ethical considerations. By systematically reviewing research papers mentioning ethical terms in XAI frameworks and tools, we investigate the extent and depth of ethical discussions in scholarly research. We observe a limited and often superficial engagement with ethical theories, with a tendency to acknowledge the importance of ethics, yet treating it as a monolithic and not contextualized concept. Our findings suggest a pressing need for a more nuanced and comprehensive integration of ethics in XAI research and practice. To support this, we propose to critically reconsider transparency and explainability in regards to ethical considerations during XAI systems design while accounting for ethical complexity in practice. As future research directions, we point to the promotion of interdisciplinary collaborations and education, also for underrepresented ethical perspectives. Such ethical grounding can guide the design of ethically robust XAI systems, aligning technical advancements with ethical considerations.

 

 

Abstract Transnational Corporations Review (TNCR) is a prominent international journal that publishes quarterly research on emerging markets on various micro to macro-level issues, addressing economists, policymakers, and research experts. This study attempts to demonstrate a retrospective investigation of the TNCR’s productivity and target results across 15 volumes published in 2009–2023. Using VOSviewer software, different methods and tools are used for bibliometric analysis on several factors, such as research topic coverage, publications and their impact, top cited authors, the number of citations and co-citations received, and the methodology used in all contributions to TNCR. In addition, R Studio was used to develop graphical visualization and analyze the Journal’s thematic evolution. Across more than 14 years of life, TNCR contributed 503 research documents across multidisciplinary themes. Most themes covered that broadly define the TNCR over this time include globalization, internationalization of firms, global supply chains, and institutional innovations: survey, time series, and quantitative studies. The essential purpose of the published work is to examine existing theories related to international trade and transnational corporations. Co-authorship trends are changing from single-authorship to collaborative research. The study is a comprehensive retrospective evaluation of the TNCR. The review shall be helpful to potential contributors, editors, and other stakeholders of the Journal.

 

 

Objectives The goal of this research is to pinpoint the top 100 most frequently referenced studies on sublobectomy for non-small cell lung cancer. Methods We identified the top 100 most frequently referenced studies on sublobectomy for non-small cell lung cancer by searching the Web of Science database. We extracted key information from the selected studies, including the author, journal, impact factor, type of article, year of publication, country, organization, and keyword. Results To the best of our understanding, this is the inaugural bibliometric study on sublobectomy for non-small cell lung cancer. The publication years of the top 100 most frequently referenced studies span from 1994 to 2022, with citation counts ranging from 51 to 795. The majority of the included studies are original (93/100) and primarily retrospective studies (82/93). The United States leads in terms of published articles and citations, with the Annals of Thoracic Surgery being the most frequently sourced journal (n = 27). High-density keywords primarily originate from limited resection, lobectomy, survival, carcinoma, recurrence, randomized trial, radiotherapy, lung cancer, outcome, 2 cm, as revealed by CiteSpace analysis. Conclusions Our research compiles and analyzes the top 100 most frequently referenced studies in the field of sublobectomy for non-small cell lung cancer. The United States has the most published and cited works on this topic. Currently, the hot keywords for sublobectomy research are gradually shifting towards prognosis and obtaining better evidence-based medical evidence to demonstrate its value in the treatment of non-small cell lung cancer.

 

 

Background In the Netherlands, university medical centres (UMCs) bear primary responsibility for conducting medical research and delivering highly specialized care. The TopCare program was a policy experiment lasting 4 years in which three non-academic hospitals received funding from the Dutch Ministry of Health to also conduct medical research and deliver highly specialized care in specific domains. This study investigates research collaboration outcomes for all Dutch UMCs and non-academic hospitals in general and, more specifically, for the domains in the non-academic hospitals participating in the TopCare program. Additionally, it explores the organizational boundary work employed by these hospitals to foster productive research collaborations. Methods A mixed method research design was employed combining quantitative bibliometric analysis of publications and citations across all Dutch UMCs and non-academic hospitals and the TopCare domains with geographical distances, document analysis and ethnographic interviews with actors in the TopCare program. Results Quantitative analysis shows that, over the period of study, international collaboration increased among all hospitals while national collaboration and single institution research declined slightly. Collaborative efforts correlated with higher impact scores, and international collaboration scored higher than national collaboration. A total of 60% of all non-academic hospitals’ publications were produced in collaboration with UMCs, whereas almost 30% of the UMCs’ publications were the result of such collaboration. Non-academic hospitals showed a higher rate of collaboration with the UMC that was nearest geographically, whereas TopCare hospitals prioritized expertise over geographical proximity within their specialized domains. Boundary work mechanisms adopted by TopCare hospitals included aligning research activities with organizational mindset (identity), bolstering research infrastructure (competence) and finding and mobilizing strategic partnerships with academic partners (power). These efforts aimed to establish credibility and attractiveness as collaboration partners. Conclusions Research collaboration between non-academic hospitals and UMCs, particularly where this also involves international collaboration, pays off in terms of publications and impact. The TopCare hospitals used the program’s resources to perform boundary work aimed at becoming an attractive and credible collaboration partner for academia. Local factors such as research history, strategic domain focus, in-house expertise, patient flows, infrastructure and network relationships influenced collaboration dynamics within TopCare hospitals and between them and UMCs.

 

 

Purpose of Review A bibliometric analysis was performed to analyze and compare the top 100 articles from the most well-known five pain journals: Pain, Pain Physician, Pain Medicine, Regional Anesthesia & Pain Medicine, and Journal of Pain. A query of the Scopus database was performed to filter the top 200 most cited articles from each journal. CY score was calculated for the top 200 articles from each journal by dividing the total number of citations by the number of years the article has been published. Recent Findings All articles had a collective analysis of the top CY scores, the top 100 of which were further analyzed. The pain subtype, type of publication, country of origin, and senior author were extrapolated from these top 100 articles. Frequency tables were organized, revealing Pain Journal as the highest publishing journal out of the top 100 articles. Summary Chronic pain was the most studied subtype of pain and narrative reviews were the most common type of evidence. Studies were also organized in five-year epochs to analyze the frequency of publications in these intervals. Results show that 2010-2014 had the highest frequency of articles published overall. Journal Impact Factor (JIF) is also an objective indicator of the average number of citations per published article from each journal. The journal with the highest JIF was Pain with an impact factor of 7.926.

 

 

Background Biologics are essential in treating psoriasis. In recent years, the pathogenesis exploration and development of new target drugs have provided a more complete evidence-based foundation for the biological treatment of psoriasis. This study aims to use bibliometrics to analyze the research status and development trends of biologics in psoriasis. Methods The bibliometric analysis of publications related to biologics in psoriasis from 2004 to 2023 was conducted using the Web of Science Core Collection (WoSCC) database as the search data source. To perform the bibliometric analysis and create visual knowledge graphs, CiteSpace, the Bibliometrix R package, and VOSviewers were utilized. Results The study included a total of 3800 articles. The United States had the highest number of publications. The leading authors and institutions were Steven R. Feldman and the University of Manchester, respectively, in the global partnership. The cluster plot divided all keywords into 11 categories. Currently, Secukinumab and Guselkumab are representative biological agents being studied due to their considerable efficacy and long-term safety. Conclusions Targeted therapy has emerged as a significant trend in the current treatment of psoriasis. Early and active use of biologics can effectively control disease progression, prevent or delay the occurrence of comorbidities, and may even alter the natural course of psoriasis. However, further investigation is required to fully understand the specific mechanisms of psoriasis and the use of biological agents.

 

 

Background Oral finasteride and topical minoxidil formulations are the only FDA-approved drug therapies for androgenetic alopecia (AGA). Research into dutasteride, topical finasteride, and nontopical minoxidil (low-dose oral and sublingual) formulations in the treatment of AGA has spiked within recent years. Early findings show that these alternative drug therapies may have similar to improved efficacy and safety profiles relative to the conventional treatment options. Aims Conducting a bibliometric analysis, compare trends in publications on these alternative drug therapies, identify key contributors, evaluate major findings from top-cited articles, and elucidate gaps in evidence. Methods A search was conducted on the Web of Science database for publications on the use of alternative drug therapies in the treatment of AGA. A total of 95 publications, published between January 2003—March 2024, and their citation metadata were included in the analysis. Results Dutasteride showed the greatest (n = 37) and longest (20+ years) history of publications, as well as the highest cumulative citations (n = 914); however, nontopical minoxidil showed a burst in research activity within the last 5 years (n = 33 publications since 2019). A relatively low number of randomized control trials (n = 3) for nontopical minoxidil suggests a need for higher-quality evidence. Conclusions Our analysis reveals major trends, contributors, and gaps in evidence for alternative drug therapies for AGA, which can help inform researchers on their future projects in this growing field of study. There is enthusiasm for exploring off-label formulations: nontopical forms of minoxidil (oral and sublingual), topical finasteride, and mesotherapy.

 

 

The growing interest in applying neural networks for cybersecurity has prompted a substantial increase in related research. This paper presents a comprehensive bibliometric analysis of research on cybersecurity towards neural networks published in the Web of Science over the past two decades (2003–2023) using bibliometric methods and CiteSpace software. The analysis encompasses yearly publication trends, types of publications, and trends across various dimensions such as publishing sources, organizations, researchers, countries, and keywords. Additionally, timeline and burst detection analyses were conducted to identify significant topic trends and citations in the last two decades. It also outlines the latest trends, under-explored topics, and open challenges.

 

 

This bibliometric analysis explores the landscape of research in Data Science and Big Data Analytics over the period from 2010 to March 2024. Leveraging advanced bibliometric techniques, including data collection from Scopus, data screening, preprocessing, and analysis using VOSviewer, Bibliometric of R package, and Microsoft Excel, this study aims to identify key trends, patterns, and dynamics within the field. The analysis encompasses document types, publication and citation trends, contributing countries, influential authors and sources, keyword co-occurrence networks, and influential affiliations. The findings provide valuable insights into the scholarly discourse, collaboration networks, and emerging research directions in Data Science and Big Data Analytics, facilitating evidence-based decision-making and fostering innovation in the field.

 

 

Fuzzy cognitive mapping (FCM) is a valuable tool for understanding complex issues due to its ability to express complex and uncertain knowledge domains with dynamic modelling capabilities. This study focuses on the application of FCM in education, using a bibliometric analysis and systematic review of publications in the Scopus database from 2000 to October 2023. Using keywords related to FCM and education, the study retrieved fifty-four publications for frequency analysis and citation metrics. This study showcases its results by leveraging standard bibliometric indicators, encompassing metrics such as publication growth, top-cited publications, country contributions, and preferred publication titles. Findings from the systematic review reveal the potential of FCM in providing explanatory, predictive, reflective, and strategic insights and solutions to numerous educational issues.