Producción Científica

 

 

The peri-urban area represents a transitional zone between rural and urban landscapes, characterized by a mix of village-like and city-like features in physical form, social activities, and development patterns. This article provides an overview of peri-urban landscapes from a geographic perspective, based on a bibliometric analysis of research published from 2000 to 2023. Using data from the Scopus database, the study analyzed 118 publications with 3,464 citations, identifying 2014 as the peak year with 14 publications. The United States emerged as the most influential country, contributing 26 publications and maintaining 20 international collaborations. The research highlights that peri-urban areas are dynamic spaces influenced by geographic perspectives on study areas, models, scales, landscapes, development, and transformation processes. These areas are marked by social, economic, environmental, and spatial diversity. The study emphasizes the importance of geospatial technologies in exploring sustainable development strategies and calls for an interdisciplinary approach to address global challenges such as economic growth, land use changes, and urban planning in peri-urban regions.

 

 

Background: The body of research on tumor-infiltrating lymphocytes (TILs) is expanding rapidly; yet, a comprehensive analysis of related publications has been notably absent. Objective: This study utilizes bibliometric methodologies to identify emerging research hotspots and to map the distribution of tumor-infiltrating lymphocyte research. Methods: Literature from the Web of Science database was analyzed and visualized using VOSviewer, CiteSpace, Scimago Graphica, R-bibliometrix, and R packages. Results: Research on tumor-infiltrating lymphocytes began in 1975 and has experienced significant growth, particularly after 2015. Leading contributors include the United States, the National Cancer Institute, the journal Cancer Immunology Immunotherapy, and researcher Steven A. Rosenberg. Other prominent contributors include China, the National Institutes of Health, researcher Roberto Salgado, and the Journal of Immunology. Prominent institutions in the USA and Europe occupy central roles within collaborative networks. Financial support plays a pivotal role in driving research advancements. Keyword clustering analysis reveals four primary knowledge domains: adoptive cell therapy; the prognostic value of TILs; PD-1/PD-L1 and TILs; and prognostic studies of TILs across various cancers. Keyword and reference analyses further indicate that “adoptive cell therapy,” “the prognostic value of TILs,” and “immune checkpoint inhibitors and TILs” are central themes in current and future research. Combination therapies; tumor neoantigens; gene editing; dominant population selection of TILs therapy; TILs in Tumor microenvironment; emerging predictive biomarkers; TILs in predicting the efficacy of neoadjuvant chemotherapy and immunotherapy; the relationship between TILs and PD-L1; TIL-based patient stratification; tertiary lymphoid structures; and TIL evaluation through digital pathology and artificial intelligence are identified as key areas of interest. Conclusions: This analysis highlights the increasing academic focus on tumor-infiltrating lymphocyte research and identifies key recent themes in the field such as prognostic value of TILs, personalized treatments, and combination therapies.

 

 

The use of social media, which adds a new dimension to communication technologies, is increasing on a daily basis, and the frequency of use is increasing, particularly during times of crisis such as natural disasters. Individuals attempt to communicate with their families and their environment during natural disasters in order to obtain information about their personal safety. Furthermore, individuals attempt to obtain or share information about basic needs such as search and rescue, first aid, food, shelter, transportation, and security. In situations where telephone networks are unable to provide services due to a surge in calls and messaging following a disaster, social media platforms offer individuals various communication alternatives and advantages. From this perspective, the purpose of the study is to highlight the significance of social media platforms in times of crisis, such as natural disasters, and to evaluate academic studies conducted within the context of this topic using the bibliometric analysis technique. In this context, the articles retrieved from the “Web of Science” and “Google Scholar” databases between 2012 and 2023 were analyzed comprehensively, and the resulting data were presented in tabular format. The results of the analysis indicate that “The Australian Journal of Emergency Management” and “Disaster Medicine and Public Health Preparedness” were the two journals that published the most articles on the topic in 2016 and 2020, and 26 studies received a total of 4,152 citations. Approximately one-third of the authors received more than one thousand citations, and the same number of quantitative and qualitative analysis was utilized in the studies. The analyses conducted indicate the existence of studies highlighting the strategic use of social media in natural disaster crises, as well as the possibility of detecting, predicting, and mapping events through the technological infrastructure employed by social media tools. These studies also emphasize the importance of social media in facilitating better content dissemination during natural disaster crises.

 

 

The aim of this study was to examine the studies on disasters published in the field of nursing between January 2012 and July 2023. Research data were obtained from the Web of Science (WoS) database. Disaster-related researches published in nursing were searched in WoS with the keywords “disaster”, “catastrophe”, “calamity”, “stunner”, “cataclysm”, “nursing”, “nursing care”. Bibliometric analyzes were performed using the VOSviewer software. 270 studies were included in our study. As a result of the analysis, it was determined that most of the studies in the field were published in 2021. The most prolific author was Abbas Ebadi and the most cited author was De Los Santos. The most productive country is the USA and the most cited country is the Philippines. Turkey ranks tenth in terms of productivity and twelfth in terms of citation. The most productive institution is Karolinska Institute and the most cited institution is Sultan Qaboos University. The most productive and most cited journal on the subject is Journal of Nursing Management and the most bibliographically matched work is Labrague (2020). The most used keywords in the field were found to be Covid-19, nurses, nursing, pandemic, disaster, disasters, disaster nursing, qualitative research, mental health, emergency preparedness. As a result of our study, it was seen that disaster-related research in the field of nursing continues to increase. It is thought that the results obtained in this study will contribute to the evaluation of the current status of disaster-related nursing studies and to guide future studies.

 

 

This study aims to examine the theses that address the topic of earthquakes with psychological variables at the Higher Education Council’s National Thesis Center (YÖK) using bibliometric and thematic analysis methods. Therefore, the theses uploaded to the YÖK National Thesis Center until 24.09.2023 were scanned with the keywords “deprem” and “earthquake”, resulting in access to 2650 theses. When the relevant theses were limited to the psychology dimension within the context of the topic, 50 postgraduate theses were accessed. In the research, bibliometric analysis was conducted on the theses; university type, city-university name, year, thesis type, advisor title, institute, department, topic, sample group, and thesis methodology were examined. Thematic analysis was used to discuss the similarities and differences of the psychological variables addressed in the theses. Bibliometric studies provide support in offering ideas for new research. Thematic studies, on the other hand, evaluate the existing situation in detail. As a result of bibliometric analysis, it was observed that the studies addressing earthquakes in the psychological dimension were prepared in different types, departments, and institutes. It was concluded that quite different groups were selected as samples, and research method was mainly quantitative in design. In the thematic analysis, two themes were obtained; the psychosocial consequences of earthquakes and the factors affecting the consequences of earthquakes. In conclusion, this study provides an opportunity to evaluate studies that address individuals’ psychological experiences during earthquake processes. Moreover, considering Turkey is a country in an earthquake zone, it can be said that the research results will provide a perspective for different psychosocial studies related to earthquakes.

 

 

Artificial intelligence (AI) technologies continue to revolutionize various sectors, including their incorporation into education, particularly in K-12 science education, which has become evidently significant. This paper presents a bibliometric analysis and systematic review that examines the incorporation of AI technologies in K-12 science education. A total of 20 studies, comprising journal articles and conference proceedings published between 2013 and 2023 and sourced from the Scopus database, were analyzed to identify leading journals, influential papers, and authors, and county-wise contributions. The study reveals that AI technologies, including robotics, chatbots, machine learning, automated scoring-feedback, and neural networks, have demonstrably enhanced learning outcomes, increased student engagement, and facilitated personalized education in science classrooms. Further, the review identifies diverse methodological approaches and pedagogical strategies, including hands-on learning, blended learning models, inquiry-based methods, and feedback-based learning, as practical means of incorporating AI within science classrooms. Moreover, the key findings emphasized the importance of professional development, infrastructure investment, and ethical guidelines to support equitable implementation of AI in science education. This study also advocates future research investigating long-term impacts, ethical considerations, and qualitative insights to fully understand AI’s potential in enhancing K-12 science education.

 

 

Given the growing significance of immunotherapy in addressing the limitations of conventional acute myeloid leukemia (AML) treatments, this study aimed to elucidate the hotspot evolution and frontiers of immunotherapy in AML using bibliometric analysis. With a strict retrieval strategy applied in the Web of Science Core Collection, 2411 publications were obtained and exported. The temporal and geographical distributions of these publications and the countries, institutions, journals, and authors who contributed to the field were investigated. An in-depth content analysis was performed. The United States had various research institutions dedicated to AML immunotherapy. Frontiers in Immunology had the highest number of publications, but Blood had the highest H-index. Marion Subklewe was the most productive author. The current research hotspots of AML immunotherapy included chimeric antigen receptor-T-cell therapy, antibody-based immunotherapies, immune checkpoint blockade, and combination therapy, highlighting the key aspects of immunotherapy for AML treatment and providing comprehensive insights into the research status and advances in this field. Novel immunotherapies combined with chemotherapy may become the primary focus of AML treatment.

 

 

A bibliometric analysis of 1000 publications were obtained from the Publish and Perish application from 2000-2023, which is then processed in VOSviewer to display the connection and relevance between publications. This research produced 826 journal articles, 128 proceedings articles, 29 book chapters, 6 posted content, 3 datasets, 3 others, 2 components, 2 reports, and 1 book. In addition, the most frequently used keyword is driver, and 2019 was the year with the most publications, 109. In conclusion, research on driver’s behavior on signalized intersections is still relevant and can be used for research discussion.

 

 

The progress of Unmanned Aerial Vehicle (UAV) technology development has spanned in a wide spectrum of multidisciplinary science and engineering research, with respect to fundamental technologies and various application domains. The growing UAV demands have prompted global manufacturers into large-scale R&D efforts, resulting transformative impacts on intellectual property (IP) domains, subsequently escalating IP right (IPR) litigation (e.g., patent invalidation and infringement disputes). This trend reflects the competitive landscape of technological innovations, unveiling the legal and business challenges brought about by the pursuit of emerging technologies and their wide adoptions in society. To gain a deeper understanding of the development and transformation within the UAV domains, we employed methods including, literature/patent bibliometric analysis, and text mining to identify the knowledge ontology structure in this multidisciplinary field. It conducted comprehensive patent analyses (e.g., Technology Function Matrix, Latent Dirichlet allocation). This study contributes to insightful examinations of patent holders and technological shifts within the UAV industry, supporting subsequent investigations into infringement cases involving major global UAV manufacturers and technology leaders, such as SZ DJI Technology and Autel. The study found that “object detection”, “controllers”, and “power systems” are the most sought-after sub-domains for research and development. The R&D trends and subsequent IPR issues indicate that societal transformation brings about changes in technology and industry structures, driving the evolution of intricate IPs and their industrial applications. Furthermore, to ensure IPR protection in the UAV industry, the study encompasses the global patent landscape, their legal dispute characteristics through case example, and IP/patenting strategies tailored toward the industry’s current IP legal status.

 

 

Purpose: This study employed the R software bibliometrix and the visualization tools CiteSpace and VOSviewer to conduct a bibliometric analysis of literature on lung cancer spread through air spaces (STAS) published since 2015. Methods: On September 1, 2024, a computer-based search was performed in the Web of Science (WOS) Core Collection dataset for literature on lung cancer STAS published between January 1, 2015, and August 31, 2024. VOSviewer was used to visually analyze countries, institutions, authors, co-cited authors, and keywords, while CiteSpace was utilized to analyze institutional centrality, references, keyword bursts, and co-citation literature. Descriptive analysis tables were created using Excel 2021. Results: A total of 243 articles were included from the WOS, with a significant increase in annual publications observed since 2018. China, Kadota K, and Fudan University were leading countries, authors, and institutions by publication volume. The top three authors by co-citation count were Kadota K, Chen C, and Adusumilli PS. The journal with the highest publication volume was Lung Cancer, with the most influential journal among the top 10 being the Journal of Thoracic Oncology. The most frequently cited reference was “Lobectomy Is Associated with Better Outcomes than Sublobar Resection in Spread through Air Spaces (STAS)-Positive T1 Lung Adenocarcinoma: A Propensity Score-Matched Analysis.” Keyword clustering categorized the research into four main areas: pathological studies of lung cancer STAS, biological mechanisms, prognostic assessment, and imaging analysis. Current research hotspots include deep learning, lung squamous cell carcinoma, and air spaces STAS. Conclusion: The current research on lung cancer STAS primarily focuses on pathological studies, biological mechanisms, prognostic assessments, and preoperative imaging model predictions. This study’s findings provide new insights and directions for future research in this area. Systematic review registration: https://www.crd.york.ac.uk/prospero/#myprospero, identifier 589442.