Producción Científica

This study provides an analysis of the scientific and technological research on the applications of the Internet of Things (IoT) within the field of health care. It focuses on innovations and is based on scientific articles and patent documentation. The search for data, which was global in scope, was based on specific criteria and enabled a mapping of 217 articles and 117 patents involving the IoT applied to health care over the last 10 years. Bibliometric analysis was applied to the data, followed by content analysis. The analyses applied herein identified the most productive authors (Lotka’s law), their affiliations, the distribution of publications over time, the core journals in which this topic is distributed (Bradford’s law), the predominant approaches used in the publications (Zipf’s law), and the countries and regions in which this scientific and technological research is most commonly performed. This topic was found to have been most heavily researched since 2010, and this research is led by countries in Asia. Scientific research on this topic is predominantly affiliated with universities, while technological research on this topic is more likely to be affiliated with corporations, though their discussions and conclusions are consistent. Among the topics of study identified, the most frequent was the remote monitoring of patients.

The development of technologies enables the application of the Internet of Things (IoT) in urban environments, creating smart cities. Hence, the optimal management of data generated in the interconnection of electronic sensors in real time improves the quality of life. The objective of this study is to analyze global research on smart cities based on IoT technology applications. For this, bibliometric techniques were applied to 1232 documents on this topic, corresponding to the period 2011-2019, to obtain findings on scientific activity and the main thematic areas. Scientific production has increased annually, so that the last triennium has accumulated 83.23% of the publications. The most outstanding thematic areas were Computer Science and Engineering. Seven lines have been identified in the development of research on smart cities based on IoT applications. In addition, the study has detected seven new future research directions. The growing trend at the global level of scientific production shows the interest in developing aspects of smart cities based on IoT applications. This study contributes to the academic, scientific, and institutional discussion to improve decision making based on the available information.

Technological competitiveness and emerging technologies are more necessary in the organizational strategy to cope with industrial advances and improve the nation’s economy. In this sense, technological innovation, computational developments, smart devices, and other technologies are shaping the new industrial revolutions. Therefore, the technological competitiveness and emerging technologies of industry 4.0 and industry 5.0 are holistically analyzed to identify the key elements of developed economies and emerging economies. For this, we used a bibliometric analysis with Biblioshiny, a systematic review of the literature and a content analysis. The results in terms of technological competitiveness in developed economies show the importance of the competences and engineering skills in the personnel approach; R+D+i and the supply chain in the organizational approach; and the use of emerging technologies such as the internet of things and big data. The comparison with emerging economies indicates the importance of key elements such as training and education, and skills in the personnel approach; sustainability and structure in the organizational approach; and emerging technologies such as the internet of things and digitalization

This study investigates the “Internet of things” (IoT) and “Circular Economy” (CE) relationship in the current scientific literature focused on case studies or use cases on manufacturing context. To the best of our knowledge, this study is the first to map the science centered on “case studies” with respect to the “IoT” and “CE” connection, contributing to fill the gap of the subject that is already relevant to the scientific community and practitioners. The research methodology consists of developing a bibliometric study, employing PRISMA process, whose data is obtained from the Web of Science database. The VOSviewer was the computer program selected for the bibliometric analysis. The Web of Science (WoS) analysis tool supports VOSviewer. The papers were analyzed according to network analysis principles. The qualitative content analysis complements these results. The results show the high-frequency keywords and topics associated with the theme “IoT and CE”; the most cited papers; the intellectual structure of “IoT and CE”; the new emerging themes in scientific research; and social networks among the researchers. The paper’s contribution is the results of the bibliometric analysis and a better understanding of the relationship of “IoT” and “CE” by the “case studies” addressed in the empirical investigations.

This study is a literature review with educational evaluation mediated by intelligent tutoring systems (ITS) as its central axis seeking to establish state of the art on implementations executed in the last 20 years and their impact on the evaluation process. The PRISMA methodology was applied for the literature review; the studies were included using the R software and bibliometric techniques with a general search equation that allowed access to all ITS production in Scopus. Subsequently, with the help of artificial intelligence, text mining was used to identify topics of interest in the scientific community, followed by further filtering. Finally, the selected full texts were analyzed using the NVivo software to extract emerging challenges in the field, obtaining 163 full texts for analysis. Among the main findings, the primary purpose of evaluation in ITS was summative, peer and self-evaluation did not have the same level of importance as hetero evaluation, and ITS focus was quantitative. All of this allowed us to conclude that the analyzed texts did not implement a holistic perspective and therefore evidenced the need to establish a framework for constructing an ITS using current technologies that integrate the mentioned variables.

A bibliometric analysis is carried out on scientific articles referring to Mexico on cybersecurity issues, published between 2015 and 2020, indexed by Sciencedirect, Redalyc, and Dialnet. The study takes into consideration indicators such as productivity per year, per journal, per institution and per author, as well as the thematic content of the texts. From the 18 papers analyzed, the detected research trends suggest a majority contribution from researchers affiliated to universities, as well as the association of cybersecurity issues and the technologies involved in cyberspace with social topics.

Disabled People deal with a series of barriers that limit their inclusion, empowerment, well-being, and role in society with a special emphasis in low and medium-income countries. One of these barriers is concerning the accessibility and affordability of assistive technologies (ATs) that help to enhance the quality of life of these persons. In this context, this systematic literature review (SLR) analyzes and describes how free and open-source hardware (OSHW) and open software (OSS) are employed in the design, development, and deployment of low-cost ATs. In the SLR process, different ATs were analyzed for disabilities such as visual, mobility, upper body, prostheses, hearing & speaking, daily living, and participation in society. The ATs were designed with diverse OSHW and OSS technologies such as Arduino, Raspberry Pi, NVidia Jeston, OpenCV, YOLO, MobileNet, EEG and EMG signal conditioning devices, actuators, and sensors such as ultrasonic, LiDar, or flex. 809 studies were collected and analyzed from the database Web of Science, GitHub, and the specialized journals in OSHW HardwareX and the Journal of Open Hardware during the years 2013-2022. In the first part of the SLR, the bibliometric trends and topic clusters regarding the selected studies are described. Secondly, the ATs identified with open source technologies, e.g., sensor-based or computer vision-based, are described along with a complete state-of-art about these based on each disability recognized. Finally, the issues and challenges to this approach are explored including technical factors, documentation, government policies, and the inclusion of disabled people in open source co-creation. The purpose of this study is to inform practitioners, designers, or stakeholders about low-cost (frugal) ATs with OSHW and OSS, and thus promote their development, accessibility, and affordability, contributing to benefit the community of disabled people.

This article analyzes the learning of students in the entire field of education and in other branches of science, through the systematic review of the literature (RSL) with the aim of determining the state of the art about the teaching and learning of math in Educational Institutions using Mobile Applications, based on the recommendations of Barbara Kitchenham & Charters (2007) for the review of papers in the years from 2016 to 2021. In the review conducted, some relevant results were obtained: identification of the main areas in which mobile applications are used, to the authors who have published the most research, the papers published according to their chronological distribution (2020 and 2018), to the publication media where the research is reported (Journal and Conference), the topics (as bigramas) most used per year (“primary school”, “early childhood” and “mobile learning”) and the bibliometric networks of co-authorship worldwide. It was concluded that the selected research papers focus on improving the teaching and learning of students in educational institutions. It is expected that future research will expand the chronological scope of the analyzed papers for a more comprehensive review.