Producción Científica

 

 

The knowledge of the tendencies of the drinking water treatments was changing through the previous decades and it is necessary to improve it for the benefit of the human beings. In this sense, the purpose of the study was to develop a scientometric study about the drinking water treatments in the period 2010-2020 for providing the state of art of the studies about the drinking water treatments in diverse knowledge areas and new orientations for future research. For this purpose, a search of the information was performed both in the Web of Science (WoS) and Scopus databases, and all articles and reviews related to the field of water treatment or chemistry were included. The results showed that China, the USA and the Netherlands have the majority of the most cited publications and various related multidisciplinary topics, such as infrastructure, technologies and pollution. Therefore, the study allows concluding that there is a need for research on different technologies that contribute positively to obtaining quality water for consumption and for the use of routine activities, being the combination and integration of the different treatment processes a challenge for future studies.

 

 

The domain of knowledge organization (KO) represents a foundational area of information science. One way to better understand the intellectual structure of the KO domain is to apply bibliometric methods to key contributors to the literature. This study analyzes the most prolific contributing authors to the journal Knowledge Organization, the sources they cite and the citations they receive for the period 1993 to 2016. The analyses were conducted using visualization outcomes of citation, co-citation and author bibliographic coupling analysis to reveal theoretical points of reference among authors and the most prominent research themes that constitute this scientific community. Birger Hjorland was the most cited author, and was situated at or near the middle of each of the maps based on different citation relationships. The proximities between authors resulting from the different citation relationships demonstrate how authors situate themselves intellectually through the citations they give and how other authors situate them through the citations received. There is a consistent core of theoretical references as well among the most productive authors. We observed a close network of scholarly communication between the authors cited in this core, which indicates the actual role of the journal Knowledge Organization as a space for knowledge construction in the area of knowledge organization.

 

 

The objective of study was to identify the emerging topics of scientific production published in mainstream journals, their visibility and synergies through an approach of unidimensional and multidimensional bibliometric indicators (BIs) on Dactylopius coccus, carminic acid (CA) and its derivatives, from 1980 to 2019. The BIs were obtained with the information software programs Excel (R), bibliometrix, and VOSviewer. During the period of study, an increase was seen in the publications where scientific articles in English predominate, concentrated in two journals: Food Chemistry and Journal of Raman Spectroscopy. I. Karapanagiotis was the author with the highest productivity; the authors with greatest influence in the generation of new knowledge were M. Leona (576 citations) and F. Casadio (568 citations), both from the United States of America (USA). The main research was focused on the identification, characterization and analysis of CA with different techniques. Other emerging and innovating topics that stand out were the application of CA in solar cells, and its therapeutic properties as antioxidant and for cancer prevention. Some of the recurring topics are related to biological aspects of the insect, the secondary effects associated with the consumption or exposure to CA, its use as dye of natural or animal fibers, and its applications as a food additive.

 

 

Recently, the use of machine learning (ML) in scientific disciplines has experienced an unprecedented increase. Finance has not been an exception. Several works have been published in recent years using ML techniques. However, one of the topics with the least number of developed papers is volatility in this context. Nevertheless, the data analyzed here suggest changes regarding this issue. Data obtained from the Web of Science database show that between 2001 and 2010 there were 33 published papers associated with this topic. Surprisingly, between 2019 and 2023, 189 manuscripts have been published related to this topic. The purpose of this work is to review the works related to the applications of ML in volatility. For this, a classification of the main proposals on this topic is proposed following a narrative methodology, accompanied by a statistical and bibliometric analysis in which novel techniques such as K-means were used. The results are suggestive. Although most papers focus on volatility prediction through neural networks and support vector machines, there is a lack of studies related to volatility transmission, calibration of volatility surfaces, and corporate finance. Moreover, the obtained results indicate that there is a gap in the production of works related to these topics in finance and economics specialized journals.

 

 

The purpose of this research was to perform a bibliometric analysis of undergraduate graduation projects at the School of Electrical Engineering of the University of Costa Rica, between the years 1999 and 2018. The main interest is to perform a descriptive analysis of the temporal distribution and thematic areas of these documents, which are carried out individually by the students of this career to opt for the Bachelor’s Degree in Electrical Engineering. To perform the analysis, the following variables were obtained: a) number of projects per quinquennium, b) thematic areas, c) number of pages per document, d) gender of the authors. In total, 938 documents were analyzed, using the information contained in the databases of the SIBDI system of the University of Costa Rica. The results were discussed in terms of the evolution of the variables and themes throughout the twenty years of the period studied. Among the findings are the greater participation of women in recent years, the reduction of the size of the documents, and the constant updating of the themes. These results reflect the interests and active areas of this career, so the results can be an indicator of the evolution of the Electrical Engineering discipline in the institution.

 

 

Purpose of Review There has been a high influx of publications on the SARS-CoV-2 and COVID-19 worldwide in the recent few months as very little was known about them. Nepal too had a substantial number of publications on the same, and there was a need to track the most relevant and impactful to the scientific community through bibliometric analysis. Recent Findings A total of 72 publications were analyzed. Bagmati Pradesh (88%) and its district, Kathmandu (77%), was with the most publications. There were no publications from Gandaki and Karnali Province. Most of the publications were in the international medical journals (82%), 53% chose European journals to publish, and 15.27% were related to and published in psychology journals. The majority were original articles (39%) and mostly related to public health (20.83%). 59.7% of the papers had Nepalese as the first author. Most of them were affiliated with Tribhuvan University Teaching Hospital and Patan Academy of Health Sciences. Our analysis suggests a need to shift the type of studies from observational studies to studies oriented more towards the therapeutic and clinical trials of available medicines and patient care management. Similarly, the bibliometric analysis gives an overall picture of Nepali medical research’s publication status around the globe.

 

 

Nowadays, pulse oximetry has become the standard in primary and intensive care units, especially as a triage tool during the current COVID-19 pandemic. Hence, a deeper understanding of the measurement errors that can affect precise readings is a key element in clinical decision-making. Several factors may influence the accuracy of pulse oximetry, such as skin color, body temperature, altitude, or patient movement. The skin pigmentation effect on pulse oximetry accuracy has long been studied reporting some contradictory conclusions. Recent studies have shown a positive bias in oxygen saturation measurements in patients with darkly pigmented skin, particularly under low saturation conditions. This review aims to study the literature that assesses the influence of skin pigmentation on the accuracy of these devices. We employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to conduct a systematic review retrospectively since February 2022 using WOS, PubMed, and Scopus databases. We found 99 unique references, of which only 41 satisfied the established inclusion criteria. A bibliometric and scientometrics approach was performed to examine the outcomes of an exhaustive survey of the thematic content and trending topics.

 

 

In this study we performed a bibliometric analysis focusing on the general patterns of scientific publications about Cannabis, revealing their trends and limitations. Publications related to Cannabis, released from 1960 to 2017, were retrieved from the Scopus database using six search terms. The search term “Genetics” returned 53.4% of publications, while “forensic genetics” and “traceability” represented 2.3% and 0.1% of the publications, respectively. However, 43.1% of the studies were not directly related to Cannabis and, in some cases, Cannabis was just used as an example in the text. A significant increase in publications was observed after 2001, with most of the publications coming from Europe, followed by North America. Although the term Cannabis was found in the title, abstract, or keywords of 1284 publications, we detected a historical gap in studies on Cannabis. We expect that increasing interest in this issue and the rise of new biotechnological advances will lead to the development of new studies. This study will help scientists identify overall research needs, detect the scientific areas in evidence concerning Cannabis studies, and find excellent centers of investigation for scientific interchange and collaboration.

 

 

Near half of the global population lives in rural areas, and agricultural sector is the second largest employer in the world. However, issues related to work in agriculture are diverse. Our aim is to draw an overview of the international research on work in agriculture through a bibliometric analysis of articles published in English between 2010 and 2019 in Web of Science and Scopus. We performed a synchronic analysis (i.e. identification network of keywords co-occurrence) and diachronic (i.e. evolution of research objects). Six main research domains were identified: labor allocation, labor market dynamics, gender and vulnerabilities, health at work, work organization in farms, and labor governance in agri-food chains. Disciplinary approaches were frequently used to analyze different issues. However, such approaches cannot handle the complex connection between issues. Seven research objects (gender, migration, child labor, health, work organization, employment, labor governance in agri-food chains) into the research domains followed different paths over the past 10 years (consolidation, instability, emergence). Our overview indicated that a pluridisciplinary approach is needed to explore emerging topics (e.g. migration, labor governance in agri-food value chains) and those related to societal issues (e.g. innovation).

 

 

Given the importance of fostering entrepreneurship, this study analyzes the influence of entrepreneurial education on university students with an entrepreneurial penchant. A literature review (2010-2020 period) using a search equation in the Web of Science database, identified 80 relevant publications, subsequently, reviewed using a documentary analysis technique that included content analysis, examination of bibliometric indicators and keyword co-occurrences. Findings reveal that most of the theoretical-empirical studies used the Ajzen’s Planned Behavior Model to identify individual and contextual predictors to determine entrepreneurial intention. It also highlights the use of a positivist research paradigm based on a quantitative and cross-sectional approach using surveys and multivariate statistical analysis (structural equations) as study methodologies. It was determined that most studies stem from Asia and Europe with few originating in Latin America. A significant and positive effect was observed with regards to the impact of entrepreneurial education on entrepreneurship intention. However, this was dependent on the context of the study and the type of training provided. Effective entrepreneurship programs were linked to more dynamic and practical entrepreneurial training, aligned to the context and characteristics of the student body. We encourage a more profound analysis of pedagogical factors that, ultimately, influence student attitudes towards entrepreneurship.