Search Equation Research Articles

Bibliometric analysis on the factors that affect the cycle of formulation, evaluation, and management of social project

Background Projects enable the resolution of problems and alter societal realities, assuming they represent the optimal choices to modify living conditions positively. If projects are deemed intelligent solutions to problems, why do they fail? This question will be addressed in this article through bibliometric analysis. Methods A bibliometric analysis was conducted on the success or failure factors influencing social investment projects, through a descriptive study with search equations, utilizing a comparative matrix to analyze 32 articles from Scopus and 22 from Web of Science. Results As a result, the number of publications, the themes addressed, and their origins between 2018 and 2023 were identified. The VOSviewer software allowed for identifying keywords and their relationships; with this input, a review of scientific production was conducted to subsequently identify the factors influencing projects and how they have been addressed within their contexts. Conclusions In conclusion, it was found that both the factors influencing success or failure in projects are permeated by the environment and the impact of political, social, and economic factors, in addition to the interaction of elements related to soft and hard skills.

El Cuestionario de Salud General de Goldberg (GHQ-28): Una revisión sistemática

In order to facilitate the understanding of tools that monitor general health, we developed a systematic review of the Goldberg General Health Questionnaire (GHQ-28) to determine the risk factors that explain the psychological problems that were identified in the general population. Previously, a bibliometric approach was carried out to identify research trends on the scientific literature of the GHQ-28. We use Web of Science and Scopus as information sources to retrieve scientific production on GHQ-28, from 2016 and 2021 in English and Spanish. We retrieved 45 studies obtained by search equations, including only 33 systematic review studies after applying the inclusion and exclusion criteria. A massive increase in post-covid-19 pandemic mental health problems was identified, being reported using the GHQ-28 instrument. Common risk factors are identified that inform mental health deterioration. The instrument is useful for the early identification of symptoms and the formulation of prevention and intervention programs in favor of the mental health of the human population.

Bibliometric Mapping of Dating Violence in Scopus and Web of Science

Introduction: Dating violence is a complex and multifaceted problem that affects people around the world. The objective was to evaluate the scientific production on dating violence in the Scopus and Web Of Science databases. Method: Scoping review was used as a method to analyze manuscripts in indexed journals. The search equations were designed with Boolean terms and operators. For the analysis of co-occurrences between authors and keywords, the Biblioshyni package was used. Results: The study covered the last 10 years, included 3077 publications from 735 journals, with a citation rate of 20.65 per document. 10499 authors participated, 92.95% of these were original articles and the most prominent authors are Miller E., Gibbs A., Decker M.R., and Silverman J.G., with the United States leading in production (49.89%). The Journal of Interpersonal Violence was the most prolific journal with 403 papers. Important thematic clusters were identified, such as violence in young couples, risk factors and interpersonal relationships, and aggression, in addition, an evolution from the approach of human and sexual relationships and violence in women was evidenced. The collaborative network showed strong connections between key authors such as Silverman, Miller, McCauley, Campbell, Stockman, Jewkes, and Gibbs. Conclusions: International collaboration and the concentration of studies in high-impact journals, mainly in the United States, underscore the need for multidisciplinary and culturally adapted approaches to effectively address and prevent dating violence. Received: 11 July 2024 / Accepted: 1 November 2024 / Published: 05 November 2024

Growth of the Omega 3 industry applied in non-surgical periodontal therapies in dental practitioners

The aim of this systematic review is to recognise the effects of dietary supplementation of Omega 3 (fatty acids) as an adjuvant in non-surgical periodontal therapy in patients with periodontitis. In the present research work, a Systematic Review of Randomised Clinical Trials on the supplementary use of Omega 3 in the diet of patients with periodontitis was carried out. The guidelines of the CONSORT 2010 statement were followed using different search equations and previously selected articles. The results show the synthesis of 12 articles selected for this study, providing information such as author, year, journal and quartile classification, among other parameters such as blood biomarkers present and periodontal clinical parameters. In conclusion, the analysis of the efficacy of Omega-3 as an adjunct to non-surgical periodontal therapy (NSPT) shows that, although improvements in clinical indicators such as calculus index (CIN), periodontal pocket depth and bleeding on probing are observed, the additional impact of Omega-3 has not been shown to be statistically significant. The variability in results may be due to differences in study designs, doses administered, and sample sizes, which limits the ability to establish a clear benefit of Omega-3 on these specific parameters.

Can Orthodontic Adhesive Systems Inhibit the Formation and Development of White Spot Lesions During Fixed Orthodontic Treatment? A Systematic Review.

This study aims to assess whether orthodontic bonding systems prevent orthodontic-induced white spot lesions (OIWSLs), exploring efficacy and identifying associated factors through a comprehensive systematic review of existing evidence. The study complied to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two evaluators screened records, and data were extracted on orthodontic bonding systems, outcomes, and participant characteristics from PubMed/MEDLINE, Cochrane Library, and EM Premium. The search equation focused on white spot lesions and orthodontic bonding. Only in-vivo studies and clinical trials on humans were included, while in-vitro studies were excluded. The risk of bias was assessed using Cochrane's RoB2 tool for RCTs and ROBINS-I tool for non-randomized studies, evaluating key domains related to bias. The systematic review, including 12 articles with 550 participants and 2,000 teeth, revealed that bonding with nanoparticles of nCaF2-primer and amorphous calcium phosphate-containing adhesives effectively reduced WSLs. In contrast, one-step adhesive without primer (GC Ortho Connect™) was associated with higher and more severe WSLs. Fluoride-releasing primers (Opal Seal™ and Clearfil™) did not exhibit an advantage in demineralization reduction. The inclusion of TiO2 nanoparticles in two studies yielded conflicting results on antibacterial effects. Various nanoparticles incorporated into adhesives or primers exhibit promise in preventing white spot lesions in fixed orthodontic treatment. However, the used evaluation methods, such as clinical examinations or advanced imaging, significantly impact result interpretation. The effectiveness of orthodontic adhesives in preventing WSLs should balance between biocompatibility, bond strength and demineralization control tailored to patient-specific needs.

Security-Aware Deadline Constraint Task Scheduling using Hybrid Optimization of Modified Flying Squirrel Genetic Chameleon Swarm Algorithm

Cloud computing enables cost-effective resource sharing in hybrid clouds to tackle the problem of insufficient resources by elastically scaling the service capability based on the users’ needs. However, task scheduling (TS) in cloud environments is challenging due to deadline-based performance and security constraints. To remove the existing drawbacks based on deadline and security constraints, a Security-Aware Deadline Constraint TS (SADCTS) approach is presented using a hybrid optimization algorithm of the Modified Flying Squirrel Genetic Chameleon Swarm Algorithm (MFSGCSA). The proposed MFSGCSA is developed by integrating the genetic operators into CSA and combining it with the modified Flying Squirrel Optimization (FSO) algorithm in which the position update and global search equations are enhanced by adaptive probability factor to reduce the local optimum problem. In this SADCTS approach, the task assignment process is modeled into an NP-hard problem concerning a multi-level security model using user authentication, integrity, and confidentiality. This maximizes tasks’ completion rate and decreases the resource costs to process tasks with different deadline limitations. The optimal schedule sequence is obtained by MFSGCSA, where tasks are scheduled concurrently based on security constraints, demand, and deadlines to improve the prominence of cost, energy, and makespan. Experiments are simulated using the CloudSim toolkit, and the comparative outcomes show that the suggested SADCTS approach reduced the makespan, cost, and energy by 5-20% more than the traditional methods. Thus, SADCTS provides less task violation of 0.0001%, high energy efficiency of 700GHz/W, high resource utilization of 92%, less cost efficiency of 72GHz/$, and less makespan of 480minutes to satisfy the necessary security and deadline requirements for TS in shared resource hybrid clouds.

Effects of pelvic floor muscle training (PFMT) on the sexual function of climacteric women: a systematic review protocol

Introduction Climacteric period signifies a transitional phase characterized by ovarian failure and a decline in estrogen levels, leading to various urogynecological alterations, including potential sexual dysfunctions. Among these, pelvic floor muscle (PFM) function plays a pivotal role in female sexual function. This study aims to evaluate the efficacy of pelvic floor muscle training (PFMT) on the sexual function of climacteric women. Methods Experimental or quasi-experimental studies published in peer-reviewed journals, assessing the sexual function of perimenopausal women with PFMT as an intervention, will be included. Studies conducted in institutionalized populations or with neurological and cognitive diseases will be excluded. This systematic review protocol follows the recommendations of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). The searches will be carried out in the Pubmed, LILACS (Latin American and Caribbean Literature on Health Sciences), Scopus, Web of Science, and PEDro, using the Search equation: climacteric women/menopause and PFMT and (sexual function or sexual dysfunction). The assessment of methodological quality will be carried out using the Pedro and GRADE scale, which will involve two independent researchers to evaluate the criteria. A third researcher will resolve discrepancies. Ethics and disclosure Ethical approval is not required as this is a secondary data study. This systematic review began in April 2024 and all steps are expected to be completed by November 2024. PROSPERO registration number CRD42024534297

Depression in nursing students during the COVID-19 pandemic: Systematic review and meta-analysis.

The pandemic meant a change in academic approach. This had an impact on the mental health of students, leading to, among other problems, depressive disorders. The aim of this study was to find out the prevalence and factors that favoured the development of depression in nursing students during the COVID-19 pandemic. A systematic review with meta-analysis of prevalence was conducted in October 2023, using Pubmed, CINAHL and Scopus as the data sources used for the search. This review followed the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Search equation was: "(undergraduate nurses OR nursing students) AND depression AND (COVID-19 OR Sars-CoV-2)". The final set of articles was N = 12. Quantitative primary studies using anonymous scales and surveys to assess the prevalence of depression in nursing students in the last 3 years were included. Studies show a high prevalence of depression among young university students with figures above 50%. The total sample of students in the meta-analysis was n = 4,479 with a prevalence value of 32% (CI95% 22%-42%). Affected students are characterised by young, female students. Concerns included generalised academic uncertainty, social isolation, work overload, fear of contagion and concern about teaching delivery. Coping mechanisms were generally resilience, spiritual support, laughter therapy, seeking information about COVID-19 and eating food. In conclusion, students, especially female students, are at high risk of depression due to social isolation. In addition, coping techniques were inadequate and future strategies to prevent this situation should be considered.

How does artificial intelligence affect the business context? A bibliometric analysis

We conducted a descriptive bibliometric analysis to examine scientific production, identify the most influential publications, and identify the most and least researched topics in four specific knowledge domains. We used a quantitative, descriptive, and correlational research approach to scientific production to carry out the analysis, which involved extracting 7,937 articles from the Web of Science and distributing them into three search equations. Using SciMAT v1.1.04 software, we processed the data and conducted a descriptive analysis of scientific production, enabling the creation of maps highlighting scientists with the most and least researched topics. The analysis of published articles, author performance, most productive journals, and most cited articles provided a detailed view of the dominant trends and approaches in the fields of Artificial Intelligence and business. The analysis showed that there is a significant evolution in the scholarly output, with themes such as "Value Creation", "Artificial Intelligence", "Business Intelligence", "E-Commerce", "Decision Making" and "Management" emerging as central in different periods, indicating their continued importance. Additionally, we note the inclusion of emerging themes like 'Customer Experience', 'Chatbots', 'Internet of Things', and 'Machine Learning', which reflect the dynamics and evolution of research concerns over time. The results of the analysis have significant implications for business policy and strategy formulation. Understanding emerging trends can help organizations make informed decisions and proactively adapt to changes in the artificial intelligence and sustainability landscape.

Reverse Logistics and Sustainability: A Bibliometric Analysis

Currently, reverse logistics and sustainability are recognized as strategies to enhance the performance of supply chain processes and customer service and to reduce environmental impact, which is reflected in the planning of and reduction in costs throughout the production process. This article developed a bibliometric review that considered the growth of reverse logistics and sustainability from the perspective of different organizations, authors, thematic subareas, countries, journals, keywords, and volume of citations and publications. For this, a methodology was developed that consisted of reviewing previous research, obtaining the Scopus data set, applying the analysis with Microsoft Excel 365 and VOSviewer version 1.6.18 to determine the applications and trends of future research, and identifying the global impact in the last six years on organizations. The search equation with the application of filters resulted in 22,625 articles. The Sustainability Switzerland journal provided the most significant number of contributions in terms of publications, and the Journal of Cleaner Production stood out for its number of citations. Tseng, M.L. and Govindan, K. were the most active authors. China, the United States, and the United Kingdom were the most notable countries. Chinese Academy of Sciences and the Ministry of Education of the People’s Republic of China were the most influential institutions. The main findings were the recognition of the potential research lines and industry 4.0 technologies applied in supply chains and the development of sustainable processes with the fusion of reverse logistics, sustainability, and circular economy.

Research Trends on Digital Marketing Strategies and Student Satisfaction in Higher Education: A Bibliometric Analysis

The main objective of this bibliometric article is to analyze and synthesize existing research that explores the relationship between digital marketing strategies implemented by higher education institutions and the satisfaction perceived by students. A bibliometric methodology was adopted, constructing a canonical search equation in the Scopus database, without temporal restrictions. The extracted data were processed using Bibliometrix and VOSviewer to create scientific maps and perform statistical analyses. The main results reveal a significant growth in scientific production, with a total of 1126 published papers and a remarkable international collaboration. The central concepts are social networks, e-commerce, student satisfaction and digital marketing. An interdisciplinary nature is observed, with contributions from various areas of knowledge. Although the interest is global, the growing participation of Middle Eastern nations stands out. In conclusion, the field of digital marketing research on college students has experienced significant growth, reflecting the adoption of digital technologies in higher education and the need for effective digital marketing strategies to attract and retain students.

Stakeholder management within PPP-arranged civil engineering megaprojects: a systematic literature review of challenges, critical success factors and stakeholder roles

PurposePublic-private partnerships (PPPs) have become integral in delivering public services and infrastructure, particularly in the context of megaprojects. This paper focuses on the interplay between stakeholder management, challenges, critical success factors (CSFs), and the overall success of PPP-arranged civil infrastructure megaprojects.Design/methodology/approachUsing the PRISMA methodology, we comprehensively analyze challenges and critical success factors (CSFs) influencing stakeholder engagement within PPP megaprojects. A focused search equation identified 595 papers, which were distilled down to 34 relevant papers and case studies. Qualitative analysis of these papers revealed 48 CSFs categorized into 11 challenges from a stakeholder management perspective, which were further delineated across public, private, and combined sectors, and then mapped along the PPP megaproject lifecycle.FindingsInformed by a diverse amalgam of civil and project management literature, this research reveals the intricate dynamics of PPP megaprojects across the globe that emphasize the critical nature of stakeholder engagement, analysis, and management practices. Key findings highlighted conflicting interests between public and private stakeholders, manifesting in challenges like project performance versus profitability. The literature emphasized instances where neglect of local community culture led to adverse social outcomes. A universal conclusion underscored the context-specific nature of challenges and CSFs, stressing the need for a holistic understanding of stakeholders and project dynamics.Research limitations/implicationsThe paper acknowledges that it focused on 34 selected papers out of 595 identified. This sample focuses on civil engineering megaprojects which may not fully represent the breadth of research in the field, potentially missing out on valuable insights from excluded studies.Practical implicationsWe believe that the compiled list of CSFs, organized according to stakeholder relationships and the project lifecycle, serves as a potent tool for managers and planners. By enabling the identification of complexity from diverse perspectives, this research allows elucidating the challenges faced by the management team in PPP megaproject.Social implicationsThis research identifies several social outcomes related to PPP megaprojects. Critical Success Factors identified as such should allow the project managers to maximize benefits for society and minimize risk and negative externalities.Originality/valueThis study contributes valuable insights for policies and practices by systematically describing challenges and related CSFs throughout the PPP megaproject lifecycle. Additionally, it addresses the nuanced aspects of internal and external stakeholder management, thereby contributing to the overall understanding and best practices required to confront complex megaprojects involving a wide range of stakeholder groups.

A compact artificial bee colony metaheuristic for global optimization problems

AbstractComputationally efficient and time‐memory saving compact algorithms become a keystone for solving global optimization problems, particularly the real world problems; which involve devices with limited memory or restricted use of battery power. Compact optimization algorithms represent a probabilistic view of the population to simulate the population behaviour as they broadly explores the decision space at the beginning of the optimization process and keep focus on to search the most promising solution, therefore narrows the search space, moreover few number of parameters need be stored in the memory thus require less space and time to compute efficiently. Role of population‐based algorithms remain inevitable as compact algorithms make use of the efficient search ability of these population based algorithms for optimization but only through a probabilistic representation of the population space in order to optimize the real world problems. Artificial bee colony (ABC) algorithm has shown to be competitive over other population‐based algorithms for solving optimization problems, however its solution search equation contributes to its insufficiency due to poor exploitation phase coupled with low convergence rate. This paper, presents a compact Artificial bee colony (cABC) algorithm with an improved solution search equation, which will be able to search an optimal solution to improve its exploitation capabilities, moreover in order to increase the global convergence of the proposed algorithm, an improved approach for population sampling is introduced through a compact distribution which helps in maintaining a good balance between exploration and exploitation search abilities of the proposed compact algorithm with least memory requirements, thus became suitable for limited hardware access devices. The proposed algorithm is evaluated extensively on a standard set of benchmark functions proposed at IEEE CEC'13 for large‐scale global optimization (LSGO) problems. Numerical results prove that the proposed compact algorithm outperforms other standard optimization algorithms.

Sustainable Projects Based on the Intersection of Clean Energy with the Health Sector: A Bibliometric Review

The objective of this work was to develop a bibliometric analysis of academic production related to sustainable projects based on clean, green and renewable alternative energies and their interaction with the health sector and health management on a global scale. To do this, a documentary research process based on bibliometric tools was proposed. The research is limited to the period between 2003 and 2023, executing the following search equation: (TITLE-ABS-KEY ("clean energy" ) OR TITLE-ABS-KEY ( "alternative energy" ) OR TITLE-ABS -KEY ("solar energy" ) OR TITLE-ABS-KEY ( "green energy" ) OR TITLE-ABS-KEY ( "renewable energy" ) AND TITLE-ABS-KEY ( "health sector" ) OR TITLE-ABS-KEY ( "healthcare sector" ) OR TITLE-ABS-KEY ( "public health service" ) OR TITLE-ABS-KEY ( "health management" ) ). The years with the highest production were 2020 (21), 2021 (23), 2022 (30) and 2023 (34), while the countries that have contributed the most to the topic are China (111), the USA (97) and the United Kingdom (71), which together contributed 57.76% of all publications. Of 145 sources found that published on the topic, the 18 main sources concentrate 48% of the publications. The three most cited articles were EMADIAN SM, 2017, WASTE MANAGE, WATTS N, 2018, LANCET and FULLER R, 2022, LANCET PLANET HEALTH, with a total of 1567 citations. Among the most relevant institutions in relation to the topic of study, UNIVERSITY COLLEGE LONDON stands out above all with 19 publications, followed by TSINGHUA UNIVERSITY (9) and WUHAN UNIVERSITY (8); between the three institutions they account for 20.57% of the publications found. This analysis provided critical insights for academics and professionals and underscored the relevance and dynamism of this research area in addressing clean energies and sustainable projects related with health management and health sector worldwide.

Food application of germinated quinua and enhancement of its nutritional, biological and functional properties: A systematic review

The germination of quinua improves the content of polyphenols, flavonoids, amino acids, dietary fiber, vitamin E, antioxidants and other bioactive compounds, making this pseudocereal a nutritious and healthy source for the preparation of functional foods. The aim of this work was to assess the effect of the germination of quinua on the nutritional, biological and functional properties, in turn to be able to analyze the potential that this golden grain has in the food industry. For the systematic review, the databases (Scopus, Scielo and Science Direct) were used, following the PRISMA guideline and the PIO strategy (Population, Intervention, Outputs), which helped to formulate the search equations and to identify the most relevant articles of the last 5 years. The results of the bibliometric analysis showed that the germination of quinua improves the nutritional properties and the content of secondary metabolites, also represents a potential source for the development of food products with functional and nutraceutical properties. A recent study confirms that after 4 days of germination the total phenolic content of various types of quinua ranges between 39.29 and 782.15 mg/100 g, indicating a powerful ability to eliminate free radicals, turning this pseudocereal into a raw material with the ability to be applied in the formulation of various food products such as bread, cookies, pizzas, beverages, yogurt, cheeses, etc.

State of open science in cancer research

PurposeThis study has been focused on assessing the Open Science scenario of cancer research during the period 2011–2021, in terms of the derived scientific publications and raw data dissemination.MethodsA cancer search equation was executed in the Science Citation Index-Expanded, collecting the papers signed by at least one Spanish institution. The same search strategy was performed in the Data Citation Index to describe dataset diffusion.Results50,822 papers were recovered, 71% of which belong to first and second quartile journals. 59% of the articles were published in Open Access (OA) journals. The Open Access model and international collaboration positively conditioned the number of citations received. Among the most productive journals stood out Plos One, Cancers, and Clinical and Translational Oncology. 2693 genomics, proteomics and metabolomics datasets were retrieved, being Gene Expression Omnibus the favoured repository.ConclusionsThere has been an increase in oncology publications in Open Access. Most were published in first quartile journals and received higher citations than non-Open Access articles, as well as when oncological investigation was performed between international research teams, being relevant in the context of Open Science. Genetic repositories have been the preferred for sharing oncology datasets. Further investigation of research and data sharing in oncology is needed, supported by stronger Open Science policies, to achieve better data sharing practices among three scientific main pillars: researchers, publishers, and scientific organizations.

Using machine learning to predict artistic styles: an analysis of trends and the research agenda

AbstractIn the field of art, machine learning models have been used to predict artistic styles in paintings. The foregoing is somewhat advantageous for analysts, as these tools can provide more valuable results and help reduce bias in the results and conclusions provided. Therefore, the objective of this research was to examine research trends in the use of machine learning to predict artistic styles from a bibliometric review based on the PRISMA methodology. From the search equations, 268 documents were found, out of which, following the application of inclusion and exclusion criteria, 128 documents were analyzed. Through quantitative analysis, a growing research interest in the subject is evident, progressing from user perception approaches to the utilization of tools like deep learning for art studies. Among the main results, it is possible to identify that one of the most used techniques in the field has been neural networks for pattern recognition. Also, a large part of the research focuses on the use of design software for image creation and manipulation. Finally, it is found that the number of studies focused on contemporary modern art is still limited, this is due to the fact that a large part of the investigations has focused on historical artistic styles.

Sustainable Innovation in Organizations: A Look from Processes, Products, and Services

Sustainability has been playing a major role on the world stage. As with everything, in the beginning, it was aligned with purely environmental contexts, but with the passing of the years, this concept has encompassed other aspects, such as the way of producing products and services. In this article, to obtain information on the implementation of sustainable innovation, a search equation was formulated in the SCOPUS database, focusing on the period from 2018 to 2023, with a total of 62 articles that are related to the topic addressed. Once the search of the published articles was carried out, seven categories were formed to classify the research topic of each of the publications with Bibliometrix software version 4.1.1 and the PRISMA method, according to the main objective and methodology used in each one. In this sense, 44% of the articles published are related to open innovation, and 26% of the articles are focused on sustainable business models. At the end of the analysis of the implementation of innovation according to the articles consulted, it was possible to establish the fact that sustainable innovation gave rise to some important work in the mitigation of adverse impacts.

Role of Dietary Macronutrient Composition and Fibre Intake in Development of Double Diabetes in Indian Youth.

Insulin resistance (IR) and obesity are common presentations of double diabetes (DD) in subjects with type-1 diabetes (T1D). There is evidence that dietary composition has an impact on developing IR. Objectives were to assess the impact of macronutrient and fibre intake on glycaemic control and the role of macronutrient composition of diet in the development of DD in subjects with T1D. This cross-sectional study included 77 young adults (10-25 years) with T1D. Data related to demography, anthropometry, biochemistry and body composition were collected. Dietary data was collected by fourteen-day food diary. IR was calculated using eGDR, SEARCH and CACTI equations, and metabolic syndrome (MS) was diagnosed using the International Diabetes Federation Consensus Definition. Subjects at risk of DD had higher age, leptin levels, percentage carbohydrate consumption in diet and IR. A positive association of insulin sensitivity with fibre intake and %protein intake was noted. Poor glycaemic control, adiponectin/leptin ratio, fibre intake and insulin/carbohydrate ratio were significant negative predictors of IR. Addition of dietary factors to the regression model improved the R square and percentage of subjects identified correctly. Inclusion of dietary parameters significantly improves the prediction of the risk of development of DD in subjects with T1D. Good glycaemic control and increased intake of dietary fibre may prevent the development of IR in subjects with T1D and reduce the burden of DD.

Use of Digital Twin Technology in the Teaching-Learning Process, in the field of University Education: A Bibliometric Review

At the convergence of artificial intelligence with pedagogy, digital twin technology is emerging as a tool that offers advanced simulations and interactive learning environments. This is because digital twins make it possible to replicate virtually any piece of equipment or test items in a laboratory. Based on the above, the objective of this article is to explore thematic gaps regarding the use of digital twin technology in the teaching-learning process. For this reason, a bibliometric review study is developed taking as data publications indexed in Scopus, during the years 2018 to 2023. Through the search equation, 92 publications were extracted. The study was developed under a quantitative approach at an exploratory-descriptive level. The results demonstrated that there is a growing and sustained scientific production on the topic under study, showing that, during and after the COVID-19 pandemic, there was greater production compared to other years. Furthermore, although it was identified that this technology is applicable to different specialties of higher education, it was determined that, to a greater extent, the topics discussed are engineering education assisted by digital twins, virtual reality and digital twins for engineering training and simulation-based training through digital twins. However, it is concluded that there is an unaddressed gap regarding the rules and regulations that should govern the use of digital twins in higher education as well as what the teacher's competencies should be so as to guarantee the appropriate use of digital twins as part of their teaching methodology, since the impact on student learning depends on this.