Producción Científica

 

 

Preprint articles are available on servers, such as arXiv and ChemRxiv, at no-cost to benefit the movement toward open access of research. However, the use of preprint research articles as a reference source in academia is not heavily documented. To examine if researchers are utilizing preprint articles, this paper examines citation trends in the dissertations of chemistry and physics PhD candidates who studied at four University Centers in the State University Of New York system (SUNY). Using citation analysis methodology, references cited in PhD dissertations published between 2018–2021 were analyzed. Key findings showed that PhD candidate authors cited preprint articles at a low rate, and relied on traditional resources for their dissertations, such as articles and books. Physics preprints were cited with more frequency than chemistry preprints. This data provides a benchmark for tracking the use of physics and chemistry preprints in academic research. The results of this study are also useful for examining library collections, particularly around core journal titles. Additionally, this paper raises questions about the information literacy skills of doctoral students. The doctoral students’ best practices of using preprints could be explored in future research.

 

 

Este artículo pretende realizar una panorámica histórica y legislativa de las tesis doctorales en España como elemento fundamental para entender el desarrollo de la educación universitaria y los cambios que ha ido viviendo. Para ello se analiza su evolución desde el contexto histórico y político educativo. Tras una introducción, el texto se divide en dos partes principales. La primera abarca desde los orígenes de las tesis doctorales y las primera legislaciones hasta la Guerra Civil. La segunda parte aborda los cambios en el doctorado y las tesis doctorales desde la legislación y las políticas educativa después de la Guerra Civil hasta la actualidad. Como conclusión, se puede ver cómo ser doctor o doctora ha ido modificando su sentido desde un título más elitista y vinculado a cuestiones de estatus y liturgia a una concepción moderna, académica y científica, con la tesis doctoral como referente, donde la formación investigadora y las aportaciones al incremento del campo de conocimiento disciplinar y a la sociedad han sido una constante, pudiendo constatarse además a través de este análisis los paralelismos entre la propia evolución de la institución universitaria y la de las tesis doctorales.

 

 

El presente estudio examina el uso de metodologías activas en las titulaciones universitarias. Se seleccionan y describen las investigaciones de los últimos veinte años a través de un análisis bibliométrico y temático de artículos indexados en Google Académico, Scopus y Web of Science. Los resultados muestran el aumento de las publicaciones en los últimos cinco años, teniendo a España, Brasil y Chile como los países que más publican sobre este tema. Se observa la presencia de una mayoría de artículos en inglés, realizados en coautoría de entre tres y cuatro personas, generalmente mujeres. Adicionalmente, prevalecen las investigaciones basadas en estudios de caso con muestras pequeñas, elegidas por conveniencia, que analizan las percepciones del alumnado y del profesorado participante en experiencias educativas específicas en un período de tiempo reducido. En conclusión, las investigaciones analizadas coinciden en los beneficios que aporta el uso de metodologías activas para el aprendizaje y bienestar del alumnado.

 

 

With the development of technologies and pedagogies, the multimodality of language education is becoming increasingly important, especially in the context of the challenges posed by the COVID-19 pandemic. Through advanced multimodal theories and media, teachers could integrate multiple sensory and communicative modes in language teaching. This study uses bibliometric analysis to explore the multimodality in language education from both qualitative and quantitative aspects. The author uses tools such as VOSviewer, CiteSpace, and CitNetExplorer to visualize this topic’s research evolution. The findings show that multimodal media and pedagogies evolve to boost student engagement and understanding in language learning, particularly in terms of video-mediated interaction and social media. Future research is recommended to assess the long-term influences of multimodal approaches and explore their integration with emerging educational technologies.

 

 

Objective: Accumulating evidence indicates that oxidative stress and the disruptionof antioxidant defenses play an important role in the neurobiology of bipolar disorder(BD). Studies have found that increased oxidative stress may be associated with cellapoptosis and neuronal damage in BD patients. Hence, this study explored theresearch field related to BD and oxidative stress from a bibliometrics perspective. Methods: Literature search and relevant data retrieval based on the Web of SciencesCore Collection (WoSCC). R software (version 4.2.2), VOSviewer software (version1.6.18), and CiteSpace (version 6.1.6) were used in this bibliometric analysis. Results: A total of 2081 publications related to BD and oxidative stress were pub-lished between 1986 and 2024. Bipolar Disorders was the journal that had the mostpublications in this area (72; 3.46%; IF = 5.9), while the United States (1285; 61.7%)and the University of Toronto (377; 18.1%) were the most productive country andinstitution, respectively. Apart from “oxidative stress” and “bipolar disorder,” the most frequently used keywords were “schizophrenia,” “prefrontal cortex,” and “nitricoxide.” Conclusions: The growing number of publications related to BD and oxidative stressin recent years highlights the importance of this research field. Hot topics in researchrelated to BD and oxidative stress included animal experiments and molecular mecha-nisms, psychiatric-related inflammation and biomarkers, neurodegenerative diseases,and metabolism. Furthermore, the biological mechanisms of BD, particularly bio-markers and inflammation, may be the emerging research priority area in the future.

 

 

Objective: The objective of this article is to prioritize technologies, innovations, and new businesses related to the leather agroindustrial chain in the department of Quindío (Colombia) for the year 2035. Method: The prospective scenario and Delphi methods were used to prioritize key variables, technologies, actors, innovations, objectives, and scenarios in the leather agroindustry. As a previous phase, the Scopus database was used with the critical factors of leather, tanning, tanneries, tannery, leather transformation, cowhide, and suede, and the results were used as input for structured, anonymous and reiterative consultations with national and international experts on topics related to the chain and with a time horizon of 2035. The questionnaire was posed by groupings, including product and by-product innovation, sustainability, technology, and genetics, and, for the first round of the Delphi method, was sent to more than 70 national and industry experts/stakeholders, representatives of universities, the public and private sectors, and organizations related to the chain. Findings: After conducting a bibliometric analysis, key terms related to the leather sector were visualized and a validation was made for MICMAC methods, with 44 variables found; with topics ranging from raw materials to current regulations. For the MACTOR method, future objectives were determined for clean technologies, the creation of new product development, and an R&D&I Center for productive transformation. Meanwhile, for the Delphi method, 44 technologies and innovations were prioritized through rounds with complementary analysis using Python and natural language processing. Conclusions: Topics such as vegan leather made, from mushrooms; bio-leather or leather made, from mango peel; nanofibers, nanocomposites, biogas production, nanofiltration, 4D Printing, Artificial Intelligence to improve leather quality; augmented reality to improve customer experience; genetic improvement of animals to improve leather quality, among others, in which innovation challenges and open innovation strategies can be generated, as well as in R&D&I projects, were identified.

 

 

Introduction: Spinal cord injuries often lead to significant motor and sensory deficits, as well as autonomic dysfunction. Compared with normal spinal injuries, combat-related spinal injuries (CRSIs) are usually more complex and challenging to treat because of multiple traumas, firing-line treatments, and arduous initial treatments on a battlefield. Yet numerous issues remain unresolved about clinical treatment and scientific research. The enhancement of CRSI diagnosis and treatment quality by military surgeons and nurses is imperative. The objective of this study is to identify the frontiers, hotspots, and trends among recent research, summarize the development process of clinical trials, and visualize them systematically. Materials and Methods: We collected publications from CRSI based on the Core Collection of Web of Science for 30 years from January 1, 1993 to May 1, 2023. Visualizations of the knowledge maps were produced using VOSviewer and CiteSpace software. We examined annual trends of publications and distribution patterns, the number of publications, as well as the research hotspots. Results: Among 201 documents, it was found that there was a stable upward trend in publications. There were 2 rapid growth stages during the 30 years. Among all countries, the USA contributed the most publications, along with the highest influence and the most international cooperation. Military Medicine was the journal of the maximum publications, whereas the Spine journal was the most influential one. Keyword co-occurrence analysis and trend topics analysis revealed that these articles focused 5 distinct categories for CRSI. Conclusions: As the first bibliometric study focused on CRSI, we demonstrated the evolution of the field and provided future research directions. We summarized the hotspots and 5 clusters published. This would serve as a useful guide for clinicians and scientists regarding CRSI global impacts.

 

 

This bibliometric analysis explores machine learning applications in biofuels and biodiesel research using Elsevier’s Scopus database from 2013 to 2023. The research employs co-authorship, co-occurrence, citation, and co-citation analyses with fractional counting. Results indicate a significant rise in publications. Prominent funding agencies along this field include the National Natural Science Foundation of China, Brazil’s Conselho Nacional de Desenvolvimento Científico e Tecnológico and the U.S. Department of Energy. Co-authorship analysis reveals contributions from 268 authors across 951 organizations in 71 countries, with strong collaboration in Asia. Citation analysis shows that 95% of articles have received at least one citation, with China and the United States leading in citation counts. This study highlights the interdisciplinary and collaborative nature of machine learning research in biofuels and biodiesel, driven by substantial contributions from key funding bodies and researchers worldwide.

 

 

Here, we present a protocol for conducting bibliometric analysis in biomedicine using CiteSpace and VOSviewer. We describe the steps for extracting data from Web of Science, data cleaning, and preprocessing. We then detail procedures for identifying research trends and collaboration networks by visualizing data with CiteSpace; mapping co-authorship, co-citation, and keyword co-occurrence using VOSviewer; and analyzing highly cited literature to identify key publications and trends. Finally, we outline techniques for interpreting the visualizations to draw meaningful conclusions about the research landscape.

 

 

The accessibility of academic literature has improved considerably because of the internet, with a range of platforms providing access online. It is now common for academic literature databases to use ranking algorithms to sort search results by ‘relevance’. However, it is often unclear how relevance is defined, and it varies across different platforms. This lack of transparency can potentially introduce bias, and impact the rigour of literature reviews. While there is a lack of clarity on the technical features of algorithms, online academic literature databases are now used extensively. There is a critical question of how those using the platforms perceive ranking to function in this context, and how they adapt their information-seeking behaviour. In this paper we present findings from a mixed-methods study, involving an online survey and in-depth interviews with academics, to understand their beliefs and assumptions about relevance ranking algorithms and their implications for academic practice.