Contributions to sustainable development, with the recovery of paramoecosystems through the study of frailejones germination
The recovery of paramo ecosystems is a contribution to environmental sustainability because the knowledge for the germination, development and growth of frailejón leads to revegetation and with them the recovery of paramo ecosystems is a challenge that requires research processes that allows the recovery of the Colombian moors, especially with the Espeletia killipii, a species at risk of extinction and essential for the retention and generation of water sources. The results of this research reveal procedures that lead to results with high performance in germination with specific substrates
Anti-Ballistic Material Test Design for Transparent Composites
This article aims to identify the characteristics that transparent anti-ballistic materials must meet in accordance with current national and international standards, to be applied in checking the antiballistic level of composites obtained from experimental formulation work in ECSAN.UJI. The methodology was qualitative, oriented to the knowledge and description of standard tests for the measurement of anti-ballistic properties. The characteristics and test results described in the national and international investigations and information obtained from the experts interviewed were considered for analysis by the researchers and then present significant generalizations that contribute
Scientometric Analysis of the Relationship Between Artificial Intelligence and Data Engineering: Trends,Collaboration, and Evolution
Data engineering has become a fundamental step for artificial intelligence (AI) because the quality of training depends on the quality of the data. This thematic connection is relatively new, and the literature on the topic is quite scattered. Therefore, the purpose of this review is to identify the main contributions in this area by applying the Tree of Science algorithm. This algorithm processes query results from Scopus and Web of Science to classify articles into root, trunk, and branches. The main result of the study was the identification of three emerging areas. The first focuses on the use of AI to analyze and enhance complex scientific data, emphasizing solving specific optimization challenges. The second addresses the practical implementation of AI, tackling issues such as data cleaning and improving operational efficiency. The third highlights the development of AI from its creation to its maintenance once implemented, leveraging data engineering as a key tool to enhance AI training and performance. These findings are noteworthy because they shed light on the current use of AI applications to optimize processes in various sectors. The ability to process large volumes of data quickly improves efficiency and accelerates decision-making in sectors such as healthcare, industry, and cybersecurity. This enables personalized diagnostics, process optimization, and immediate responses to threats. However, it is important to emphasize that these benefits rely on data quality and the proper implementation of analysis systems, which ensure effective processing and reliable results.
Agrivoltaic systems: a contribution to sustainability
In this scientometric article, an analysis was conducted to highlight how agrivoltaic systems represent an innovative solution to meet food and energy needs simultaneously. For the development of this study, two essential databases, Web of Science and Scopus, were utilized, both recognized for housing highly relevant and, often, novel research. These databases provided valuable information on how these systems improve food production and energy generation. The Tree of Science method was employed to filter the abundance of articles initially obtained from these databases, allowing their classification into root, trunk, and three main branches, each focused on key components of agrivoltaic systems. The findings were categorized into three main themes: advances in panel manufacturing, including improvements in their resistance to extreme conditions and the optimization of their orientation to better capture photons. These improvements also contribute to the increase in food and energy production. The second theme describes how innovation in agrivoltaic systems contributes to food and energy security, especially in regions with distinct climatic conditions and needs. Finally, the last theme describes how the use of algorithms and optimization technologies in the implementation of agrivoltaic systems contributes to maximizing both agricultural and energy production.
Antimicrobial Potential of Secondary Metabolites: AScientometric Review
There is growing concern in public health regarding antibiotic resistance. This highlights the need to control pathogens using alternatives to conventional drugs. In this context, numerous studies have found that secondary metabolites extracted from plants, fungi, and bacteria have the capacity to inhibit certain microorganisms, often pathogens. The objective of this review is to explore the antimicrobial potential of secondary metabolites for their possible applications in the health, agricultural, and agroindustrial sectors. To achieve this, a scientometric analysis was conducted using the Tree of Science algorithm, with a bibliographic search performed in the two main databases, WoS and Scopus, covering the period from 2003 to 2024. Additionally, an analysis of scientific production by country, journal, and author working on this topic was carried out. The results identified three main groups, distinguished by the origin of the metabolites: plants, fungi, and bacteria. In conclusion, secondary metabolites, regardless of their origin, show significant potential for use in healthcare as pathogen control agents and in agriculture as replacements for chemical pesticides.
Implementation of autonomous transportationtechnologies: Diagnosis in home logistics for urbanenvironments
The aim was to diagnose the status of the implementation of autonomous transportation technologies in home logistics. Positivist paradigm research, with quantitative method and descriptivecorrelational approach, field research and non-experimental-transversal design. The sample was 28 courier companies, with at least one year of experience and a plant with at least five (5) workers in charge. The survey technique is used, using a collection instrument with a Likert-type scale. There is a global trend towards the automation of package distribution systems and this is known by a good part of the target audience in this study. To achieve a high rate of implementability of these technologies in the local urban environment, it is necessary to adapt changes in aspects such as road infrastructure, legal regulations and sociocultural adoption of the technology, in addition to a reduction in costs to an affordable range. such that the adoption of these new autonomous technologies is encouraged in the Latin American environment and particularly in small and mediumsized cities.
Technical and environmental contribution to the comprehensivemanagement of construction projects in Boyacá with the use of pavingstones composed of residual materials
Taking into account the importance of integrated construction management, and the contribution it has in identifying, prioritizing and mitigating risk factors in the development of a construction project, this project proposes a proposal aimed at sustainable value, therefore, an alternative of ecological bricks obtained through the incorporation of waste materials (rice husks, chamotte, blast furnace slag) is proposed. The incorporation of the aforementioned strategy seeks not only to generate an impact on environmental development, but also to cover areas such as the circular economy, generating a significant contribution in terms of improving industrial processes, reducing waste and improving energy consumption, identifying the value of innovation and development; From the integral management of works, the Colombian population was analyzed and the region of Boyacá was selected as the focus point for the development of the proposal, since it is one of the most important centers of brick manufacturing, thus, we will seek to incorporate paving stones to construction works in municipal spaces in the region of Boyacá. To do this, an experimental research is chosen, on the effect that has an added residual material (in this case, high oven scrap) to the components of the said element, in order to evaluate the physical properties that it will have and thus consider whether it is appropriate to implement this in construction; which would lead to mitigate both the environmental, economic and even social impact that is currently being shown specifically in the Department of Boyacá, since this place is located much of the brick of the country.
AI, in the Transforming of Education Throughout the World
The application of artificial intelligence (AI) has brought about significant changes in data processing, facilitating technological and scientific advancements with reliable results in the sciences. This digital technology aims to enhance laboratory work and information processing with speed, security, and efficiency. The objective of this research is to conduct a literature review and a scientometric analysis to understand how academic and scientific institutions, as well as researchers, have integrated AI into the processes of teaching and learning natural sciences and biology. Additionally, it seeks to examine the scope of research across different countries, institutions, researchers, and laboratories.To this end, a mixed-methods, qualitative and quantitative, exploratory approach was employed, conducting a scientometric analysis using the WoS and Scopus databases and utilizing the Tree of Science algorithm. This algorithm facilitates the organization of research and researchers into a tree of science, identifying the most relevant articles for this review.The findings highlight the impact of AI usage in the fields of science, industry, and academia, influencing educational, social, and cultural standards. Moreover, the challenges of integrating these technologies into pedagogical models and deeply understanding the processes inherent to AI are addressed. In conclusion, there is a current digital transformation accessible to researchers, with open-access platforms that activate a society conscious of the importance of digital information care and the reach of AI in the scientific domain.
Improvement strategies for construction materials commercialization companies with a Sales methodology - Company in the municipality of Cucuta
The purpose of this work has been the generation of improvement strategies for construction material commercialization companies using the Sale - Company methodology in the municipality of Cúcuta. For this purpose, a non-probabilistic sampling model was used, where eight hardware companies that use the aforementioned methodology were analyzed; and ten construction companies taking into account the classification of the three large groups; with a representation of 40% for building construction, 30% for civil engineering works, and the remaining 30% for specialized activities for the construction of buildings and civil engineering works; instruments were applied to collect information that allowed to know and deepen in the internal elements of the hardware sector, such as its management process of orders and dispatches, of each one of the organizations, its planning, personnel, management and research and development; and, likewise, external information to the companies of the construction sector, here were taken into account the technological variables, market competition, customer satisfaction, prioritization of customer needs. As a result, the authors were able to define that the hardware companies are implementing personalized services for the construction companies, taking into account their individual needs; however, there are still gaps in this Sale - Company methodology due to the low investment in integrated management systems, which means that the information is not adequately used and that reprocesses and delays are incurred in the procedures for ordering and dispatching materials. In addition, it was identified that the greatest nonconformity on the part of the construction sector is the failure to meet delivery deadlines due to the shortage of the required input, so it is important to pay more attention to the stock models implemented in each of the hardware stores.
A Systematic Review of Large Language Models (LLMs) in Scientific Literature: Scientometric Analysis and Tree of Science Application
The analysis of scientific literature has had a significant impact on multiple areas of knowledge. Its importance lies in the characterization and extraction of information related to scientific production, guaranteeing the homogeneity of references. Although the use of Large Language Models (LLMs) and algorithmic tools such as ChatGPT has positive aspects, the application of ChatGPT in the review of scientific literature presents challenges due to its lack of precision in the construction of bibliometric analyses. To address this limitation, the Tree of Science (ToS) tool, which provides a more reliable characterization of the articles, has been used. This scientometric review includes an analysis of the research output in the main databases, Scopus and Web of Science on MLLs and their different applications. International collaborations, the main journals of publication and the dynamics of collaboration between authors have been considered as study variables, using the algorithm employed by ToS to identify and explain the main contributions, articles, authors, journals, keywords, and countries highlighted. The findings reveal the novelty of the topic, with academic production concentrated in 2023 and 2024, and a notable influence of researchers from the United States and China. Medical fields lead in this area, with prominent journals and prolific authors in research.
Digitalization of the financial sector: a literature review
The digital transformation in the banking sector, driven by the adoption of digital technologies, has led to more competitive services. This change has facilitated transactions, making them more efficient, and expanded access to services, which has improved financial development and promoted economic stability. The COVID-19 pandemic accelerated the adoption of online banking services, increasing the use of the cloud to store customer information and promoting sustainable financial inclusion. This study, using the SCOPUS database, analyzes the progress of banking digitalization and its impact on the industry, using the tree of science methodology to identify trends and relationships. It highlights the need for banks to embrace digitalization to remain relevant and competitive in an ever-evolving market.
The evolution of data visualization: Fields of application and Business Intelligence tools
Data visualization is moving the world in terms of decision making, by using elements and tools that provide an accessible way to understand information through graphs, charts and maps that capture the interest of anyone who wants to analyze data, trends and outliers, since a good visualization tells a story, eliminates noise and highlights useful information that contributes to the continuous improvement of companies. The purpose of this article is to review data visualization techniques and how they impact the world, companies, industry and commerce. To carry out this article, a search was performed in Scopus using the criteria &quot;data visualization&quot; OR &quot;visualization data&quot; and &quot;business&quot; OR &quot;enterprise&quot; with which the authors who have published on this topic were identified, the years of publication, the importance it has taken in the countries and finally identify where the research in the different areas of application is directed.
Evolution and Research Trends in Financial Education
In the context of today&#39;s society, this article highlights the importance of obtaining and maintaining a solid financial education. Research shows that the lack of financial knowledge has led to problems such as excessive debt and insufficient savings. However, personal finance has been evolving and increasingly adapting to individual and social needs. It is important to emphasize the significance of early financial education. Parents play a crucial role in instilling sound financial habits, such as saving and responsible spending. Additionally, it is proposed to include economic education in school and university curricula. The study also highlights the relevance of financial education in specific professional fields. For example, in medicine, residents and fellows often lack financial knowledge, affecting their personal and professional well-being. It is suggested to incorporate financial education into their training to improve their debt management and retirement planning. The interaction between education and sustainable financial behavior is of utmost importance. The need to incorporate sustainability principles into financial education is emphasized, promoting practices that support long-term economic and environmental goals. The research employs a methodology based on the &quot;tree of science&quot; metaphor using the Scopus database. This approach identifies root pieces, structural elements (trunk), and recent advancements (leaves). The bibliometric analysis shows an increase in interest in the topic, with a peak of publications in 2023. In conclusion, the article argues that financial education is essential for achieving long-term financial prosperity. Its inclusion in various educational and professional fields is recommended, adapting it to individual needs and promoting sustainable financial practices.
Revista de ingenierías Interfaces Vol.7 (1)
Transcription from audio to text in Municipal Sessions in Planeta Rica
The document addresses the issue of manually transcribing municipal sessions in Planeta Rica. It investigates the use of open-source tools to automate the transcription of audio to text in these sessions with the aim of improving efficiency and accuracy in this process. The importance of integrating models into the system to address different aspects and enhance transcription quality is emphasized. In this regard, two artificial intelligence models are mentioned: OpenAI's Whisper and Deezer's Spleeter. Whisper is a general-purpose speech recognition model. On the other hand, Spleeter is an audio track separation tool that utilizes pre-trained models to separate voices from any audio track. Furthermore, an architecture is developed to enable the automatic integration of these models. This architecture is based on the use of Python for managing the artificial intelligence models, while the application's backend is developed using Go and the frontend with Next.js/React. This allowed for the automation of transcriptions for Planeta Rica's municipal council sessions, improving both efficiency and precision in the process.
Mapping the Scientometric Landscape of Intangible Assets: Trends, Measurements, and Collaborative Dynamics
The aim of this article is to chart the trends and dynamics in scientific production regarding intangible assets through scientometric analysis and the implementation of the Tree of Science algorithm. Data from Scopus and Web of Science were merged using the bibliometrix and tosr packages in R. The findings reveal a mature and consolidated field, evident in both scientific output and author collaborations. Additionally, three main trends were identified: the exploration of corporate reputation and brand value measurement as intangible assets, the dynamics of intellectual capital amidst technological innovation and intellectual property regulation, and the study of intellectual capital in Latin American contexts, focusing on value creation, measurement, and the impact of regulatory frameworks.
Improving the security of elections at the university of Cordoba through a voting system based on Blockchain technology
The purpose of this research was to improve the security, transparency and accessibility of the electoral process for an electronic voting system in the elections of student representatives at the University of Cordoba, through the implementation of Blockchain technologies. A methodological process was followed that included the following phases: analysis of the election regulations, the specification of necessary requirements, the exploration and selection of those tools necessary for the construction of the software using Vue.js, MySQL, and Blockchain technology based on Smart Contracts in the Ethereum network, and finally as the last phase, the electronic voting system was designed and developed. The work sought to demonstrate the reliability and usefulness of e-voting in a university context, overcoming the problems associated with traditional methods of electoral voting by reducing the risks of fraud or manipulation of results, thanks to Blockchain technologies. As a result, three crucial levels of security are highlighted to guarantee the integrity of the electoral process: an authentication through email validation, AES and bcrypt encryption in the database to protect sensitive data, and the implementation of Blockchain to ensure the immutability of votes, preserve voter privacy and provide transparency in the electoral process. These combined measures guarantee a high standard of security and confidentiality. Finally, as for the results regarding the tests, a digital survey was conducted to gather valuable information about the students' opinion regarding the experience and security about the electronic voting system.
Exploratory study of technologies and tools for healthcare through the use of connected medical devices in the context of intelligent systems in clinical environments
In a world where digitization and interconnectedness are already ubiquitous, medical sensors and devices have emerged as crucial elements in the evolution of healthcare. This document emphasizes the fundamental role of these devices in current medical care, exploring how the data generated by them can revolutionize disease diagnosis. Through the interconnection of medical sensors and devices, a future is envisioned in which the symptoms of patients can be predicted and managed more effectively.
To determine the incidence of social networks on the emotions of students at the University of Cordoba
In the present study, an analysis of the incidence of Social Networks on the emotions of students at the University of Cordoba was carried out. For this purpose, a web application was used to identify the type of emotions and the perception of students in relation to topics exposed in Instagram publications. Web Scraping and Natural Language Processing Analysis tools were used to examine the comments made by students on a selection of publications. These publications address various topics classified by category, with the aim of obtaining the emotional perception of students in front of different topics. The RUP (Rational Unified Process) methodology was applied, which made it possible to establish a solid architectural base and reduce the impact of subsequent changes in the system. The system was developed using different technologies in each section of the project. The Angular, Express and Flask frameworks were used, the first one for Frontend, the next two for backend. A total of 30 samples were studied, in which it was found that publications related to human expression and skills development generate positive emotions and polarities, contrary to publications about news dissemination and educational opportunities. On the other hand, positive correlations were identified, one between positive polarity and the emotion of joy and another between negative polarity and emotions such as anger, sadness and neutral
Analysis of competencies acquired in academic training with the labor demands of systems engineers using machine learning techniques.
Estos hallazgos destacaron la presencia de brechas entre las competencias de los egresados y las requeridas por el mercado laboral. La implementación de software de Aprendizaje Automático facilitó una comparación cuantitativa precisa y orientada de los requerimientos de las empresas y las habilidades de los ingenieros de sistemas. En consecuencia, se resalta la necesidad de una capacitación adicional para los futuros ingenieros de sistemas en áreas específicas. Además, se proporcionan directrices para mejorar la formación académica, alineándola eficazmente con las cambiantes exigencias del mercado laboral. Este enfoque beneficia tanto a las instituciones educativas como a las futuras generaciones de ingenieros de sistemas, asegurando su competitividad y éxito en un entorno laboral en constante evolución.
Prototype Multiplatform application to prevent anxiety in university students.
This study aimed to evaluate the effectiveness of a prototype multiplatform application that incorporated cognitive behavioral therapy, mindfulness, and chemotherapy strategies to reduce anxiety in young university students. The methodology used was quantitative research with an experimental design, including pretest, posttest, and control groups. The results indicated no statistically significant differences between the prototype and control groups, but some experimental subjects showed substantial improvements in their anxiety levels.
An ontological model for the representation of the Barranquilla Carnival as cultural heritage in a context-aware system
The Barranquilla Carnival is the most important cultural expression of Colombia, declared as Oral and Intangible Cultural Heritage of Humanity by UNESCO in 2003. This paper proposes an ontological model for the management of the Carnival of Barranquilla as a measure of recognition worldwide in a context-aware system. The ontological model has 18 domains that relate the Barranquilla Carnival (Traditional Dances, Device, Environment, Dance Schools, Cultural Event, Cultural Managers, Interface, Location, Profile, People, Typical Characters, Typical Food, Preference, Network, Cultural Sites, Time and Clothing), evaluated by means of seven (7) situations that were described in natural language and SWRL (this language was used because it allows expressing concepts in OWL combined with RuleML). The proposed model can be used in other similar cultural expressions such as the Binche Carnival in Belgium, the Basel Carnival in Switzerland, the Oruro Carnival in Bolivia, the Recife Carnival in Brazil, the Podence Carnival in Portugal, among others that enjoy the recognition of cultural and intangible heritage of humanity.
Unemployment in women and poverty: A bibliometric review
This study aims to address women's unemployment and various issues related to poverty, limited job opportunities, education, gender wage gaps, and obstacles to achieving workplace equality. Economic dependence and low financial inclusion in less developed countries hinder access to decent employment. The present study is conducted through a bibliometric analysis and a comprehensive review of literature on women's unemployment and poverty, conducting a search in Scopus between 2000-2023. This exploration allowed us to observe the negative effects caused by the lack of job opportunities and their impact on health, leading to stress, anxiety, and suicide. Additionally, an analysis is carried out that encompasses unemployment, its direct relationship with the social and mental aspects, poverty, and suicide, seen from gender differences in the family environment and geographical location. Finally, a research agenda is proposed for future studies.
Biopolymers and pectin: A review with Tree of Science
Most of the materials used for food packaging are derived from petroleum, an alternative proposed in this review is the use of biodegradable materials that meet the growing demands of society for sustainability and environmental safety, and thus mitigate consumption. For this reason, proposals for different biopolymers have recently emerged to decrease the environmental impact of single-use plastics. This study presents a review of pectin as a biopolymer option for the solution of these environmental problems. A Scopus search was performed and the results were uploaded to the Tree of Science platform to identify articles, root, trunk and branches (subareas). The results show that, although the use of biopolymers has been limited due to poor mechanical and barrier properties, these properties can be improved by coating the outside with nanocomposites, such as nanoclays, which present a fine-grained crystalline material that is used as an additive for the manufacture of nanocomposites and significantly improve the properties of polymeric materials.
Past, Present, and Future of Research in Corporate Reputation
The foundation of a successful corporate reputation is established through efficient management of interactions with the various stakeholder groups that make up the company, where Corporate Social Responsibility practices have been consolidated as the main strategy to strengthen the brand and image of organizations. The aim of this study is to examine the evolution of research related to corporate reputation over time. To achieve this goal, a meticulous bibliographic analysis was carried out covering from the year 2000 to 2023, using the Scopus database as the main source of consultation. The data analysis was carried out using advanced tools, such as R-Studio and Tree of Science, complemented with bibliometric procedures. The findings obtained allowed tracing the origin and development of this topic, as well as classifying the documents according to their relevance and contribution to the field of study. From the literature review, three main research clusters were identified: reputation and trust, the relationship between Corporate Social Responsibility, donations and reputation, as well as sustainability reports and their impact on corporate reputation. These topics have been substantially addressed by researchers, providing a solid framework for future inquiries in the field of corporate reputation.
Greenwashing trends and strategies: A theoretical and critical approach
In recent years, environmental issues have caused a growing concern and interest on the part of consumers and marketers towards results that show a contribution to organizational objectives without affecting current concerns, promoting the analysis of Greenwashing to provide a clear and concrete perspective in the market and achieve a good performance. Considering the above, the purpose of this research was to analyze the evolution and theoretical development of Greenwashing. A literature review of the documents related to the topic from 2000 to 2023 available in the Scopus database was carried out. R-studio, Bibliometrix and Gephi were implemented in the relationship, treatment and generation of information from the tree metaphor. The results highlight as a research cluster the relationship and perception of Greenwashing with the client, environmental intervention and decision making, and external intervention with corporate social responsibilities.
Artificial Intelligence in Management: A Literature Review using Tree of Science
Artificial Intelligence (AI) and the possibilities for the future that it brings us, can reduce daily tasks and allow us to pursue different activities in management. Though AI has been studied and researched to this day, this article shows us the real possibilities of AI in the present and the future in management. The main papers were identified using the methodology of Tree of Science from a Scopus search. The study concludes by showing the outlook on the future of AI and it is practical and important to know this for improving the management performance in firms. Gaining more knowledge on AI could be beneficial as human error, competency, and more could be eliminated which would further improve the field.
Business valuation: Scientific mapping, evolution and research trends
In the financial and business field, the valuation of companies is of vital importance. Through this process, various aspects can be evaluated, allowing the determination of the intrinsic value of a company. An accurate valuation provides a strong foundation for determining the company's price without overvaluation or undervaluation. Consequently, through valuation, essential information is obtained for making informed decisions regarding mergers, investments, and more. The objective of this article is to review the origins, evolution, and trends of company valuation, involving bibliometric tools and applying the metaphor of the tree of science that distributes the most relevant documents in the field. It demonstrates that non-financial information plays a significant role in the valuation of companies. High-quality information, automatic systems, and economic and social sustainability collectively become vital elements for the optimal allocation of resources when discussing companies.
A review of intelligent transportation systems
Intelligent Transportation systems are essential because of the rapid expansion in new machine learning methods and the emergence of new data sources, ITS has made it possible to check and forecast traffic conditions faster and more accurately. Although this type of transport has been widely studied, a literature review that covers the main areas has not yet been built to date. The objective is to carry out this review using the tree of science through a Scopus query. The results showed three approaches: deep learning of transport systems, the importance of data for these transport systems, and traffic flow prediction. In practical terms, this article is important because it improves the effect of limiting the use of private vehicles in the contemporary world, and can help different countries to use fossil fuels more efficiently and maintain a healthy environment for the current generation.
Corporate Social Responsibility, a View from Competitiveness through a Review using Tree of Science
Corporate Social Responsibility (CSR) in recent years has gained great importance for the actions of companies because their activities have repercussions, not only for their shareholders, but for the different actors with whom they are related. This article makes the application of the biological metaphor of the tree of science in order to carry out a review of the CSR and competitiveness literature. This methodology makes it possible to carry out a chronological structuring of the literature in which the root, trunk and leaf documents of the subject are grouped. In total, 216 documents were found in the Scopus database in which the seminal, structural and branch documents (subareas) were identified. The three research sub areas identified were: CSR strategies, the relationship of SMEs with CSR and, finally, CSR and its positive effect on companies.