Recent Submissions

  • The Transformative Role of Technology in Medical Education

    Quispe, Justiniano Felix Palomino; Choque-Flores, Leopoldo; León, Alisson Lizbeth Castro; Carbajal, Luis Villar Requis; Ferrer-Peñaranda, Lucio Arnulfo; Llaja, Lindomira Castro; García-Huamantumba, Elvira; Dávila-Morán, Roberto Carlos; Dávila, Leonardo Velarde (Editorial Salud, Ciencia y Tecnologia, 2024-01-01)
    Introduction: medical education has undergone a remarkable transformation driven by technological advances in recent decades. The progressive integration of digital tools and innovative technologies has significantly enriched access to educational resources and improved clinical practice. Objective: this analysis aims to evaluate the impact of various emerging technologies in medical education and their influence on clinical practice, highlighting improvements in skills and diagnostic accuracy, as well as the personalization of learning. Methods: a comprehensive analysis of pilot studies and systematic reviews was conducted that evaluated the impact of various technologies on medical education. Data collected from leading institutions were examined and statistical techniques were used to evaluate the effectiveness of these technological interventions. Results: pilot studies demonstrated significant improvements in surgical skills and diagnostic accuracy of medical students who benefited from virtual reality and clinical simulators. The application of artificial intelligence and machine learning has also improved the interpretation of medical data and early diagnosis of diseases. Conclusions: the continued integration of emerging technologies into medical education shows promising potential to personalize learning and improve patient care. However, challenges such as data security and appropriate training must be addressed to ensure successful implementation and lasting impact on clinical practice and medical education.
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  • Application of mobile reality in the training of health sciences students

    García-Huamantumba, Elvira; García-Huamantumba, Camilo Fermín; Dávila, Leonardo Velarde; García, Jhonny Henry Piñán; Guardia, Pedro Getulio Villavicencio; Del Carmen Pastrana Díaz, Nérida; Reyes, Guadalupe Ramírez; Pino, Gelacio Pozo; Zevallos, David Julio Martel; Quiñones, Lida Days Beraun (Editorial Salud, Ciencia y Tecnologia, 2024-01-01)
    Introduction: education in the 21st century has undergone a profound transformation thanks to technological advances. In this context, augmented reality (AR) has emerged as an innovative pedagogical tool that promises to revolutionize the way students acquire knowledge and skills. Objective: establish the impact of augmented reality on the learning of health sciences students at a private university in Lima. Methods: it is a quantitative, descriptive, non-experimental, cross-sectional study, whose sample was 74 health sciences students from a private university in Lima. The survey technique was used and the instrument was the questionnaire. Results: the use of AR was located at an intermediate level with 43,24 % (32), in learning, a medium level was recorded in 40,54 % (30) of the participants; The same trend occurred in the dimensions of both variables. Conclusions: it was determined that AR has a significant impact on the learning process of health sciences students at a private university in Lima, demonstrated through the Chi-square analysis, p-value = 0,023 < 0,05.
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  • Use of mobile devices in the promotion of health and well-being in young university students

    Pera, Lidia Ysabel Pareja; Dávila-Morán, Roberto Carlos; Soto, Juan Manuel Sánchez; Quezada, Dimna Zoila Alfaro; Nizama, José Leonor Ruiz; Castillo-Sáenz, Rafael Alan; Velarde Dávila, Leonardo; García-Huamantumba, Elvira; Saldaña Ponte, Apolinar; Pasquel Cajas, Alexander Frank (Editorial Salud, Ciencia y Tecnologia, 2023-01-01)
    Introduction: in the digital age we live in, mobile devices (DMs) have become a fundamental extension of our lives, and college students are no exception. Young university students are increasingly turning to their MD as multifunctional tools to address aspects related to their physical, emotional and social well-being. Objective: to characterize the use of DM in the promotion of health and well-being in young university students. Methods: the study is cross-sectional with a quantitative approach and a non-experimental design, basic type and descriptive level was adopted. The sample was census made up of 89 students from the Faculty of Health Sciences of a public university in Trujillo, Peru. To collect the data, the survey and the questionnaire were used. Results: regarding the use of DM, it was reported that 61,80 % (55) specified a moderate level of use, 21,35 % (19) a high level, and 16,85 % indicated a low level. Therefore, the use of DM motivates them to maintain an active and healthy lifestyle, which may be essential to maintain a constant exercise routine. Conclusions: it was possible to specify a moderate level in the use of DM, which suggests that they find a balance between the use of DM for activities such as monitoring physical activity, stress management, access to health information and participation in online communities related to health and wellness.
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  • Impact of remote work on the occupational health of healthcare workers during the Covid-19 pandemic

    Dávila-Morán, Roberto Carlos; Castillo-Sáenz, Rafael Alan; Vargas-Murillo, Alfonso Renato; Dávila, Leonardo Velarde; Nizama, José Leonor Ruiz; Quezada, Dimna Zoila Alfaro; Pareja, Carla Giuliana Guanilo; Soto, Juan Manuel Sánchez; Cajas, Renzo Fidel Pasquel; Bravo, Veronica Tomasa Cajas (Editorial Salud, Ciencia y Tecnologia, 2023-01-01)
    Introduction: since the appearance of Covid-19, remote work was implemented in different occupations on a global scale, aiming to continue with the development of activities. In this sense, occupational health was affected in different ways, especially in the case of health workers. Objective: analyze the impact of remote work on the occupational health of healthcare workers during the Covid-19 pandemic. Method: the study had a quantitative approach, non-experimental design, and correlational scope. There was a sample of 35 health professionals from a public institution in Lima, Peru. The questionnaire had 28 questions, with a Likert-type scale for the answers. Results: the participants expressed that there is a 45,7 % very good level of remote work and 37,1 % a regular level of occupational health. In addition, the existence of a moderate negative correlation between remote work and occupational health was verified, with r=-0,516 and sig<0,001. Conclusions: a very good level of perception of remote work was obtained, but a regular level in occupational health. In addition, it was verified that remote work has a negative impact on the occupational health of health workers, in the context of the Covid-19 crisis. This serves as a foundation for future emergencies as well as improving the adoption of remote work and its impact on occupational health.
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  • Analysis of the perception of health professionals regarding the incorporation of emerging technologies in their practice

    Infantes, Manuel Silva; Soto, Juan Manuel Sánchez; Montalvo, Milagros Amparo Astete; Nizama, José Leonor Ruiz; Dávila, Leonardo Velarde; Dávila-Morán, Roberto Carlos; Quezada, Dimna Zoila Alfaro; Cajas, Alexander Frank Pasquel (Editorial Salud, Ciencia y Tecnologia, 2023-01-01)
    Introduction: healthcare is currently in the midst of a technology-driven revolution. Emerging technologies (ETs) are disrupting the practice of healthcare professionals in ways that once seemed futuristic, but are now an everyday reality in clinics and hospitals around the world. Objective: to analyze the perception of health professionals regarding the incorporation of emerging technologies in their practice. Methods: it is a quantitative, descriptive, non-experimental, cross-sectional study, whose sample was 107 health professionals who work in different health centers in Lima. The survey technique was used and the instrument was the questionnaire. Results: the participants perceived the incorporation and use of TE in their practice by 63,55 % (68) at a moderate level, 20,56 % (22) reported a high level, while 15,89 % indicated a low level. Conclusions: it was possible to specify a moderate level in the incorporation and use of TE, suggesting an intermediate position in technological adoption in medical care. This provides a solid foundation for future advances and improvements in the implementation of TE in medical practice.
    Acceso abierto
  • Review of Scientific Research on Informal Learning Using Information and Communication Technologies in Education: A Bibliometric Analysis

    Yong-Chung, Felipe; Mariano, Ari Melo; Cahuana, Rosalin Marin; Curo, Carlos Pozo (Associacao Iberica de Sistemas e Tecnologias de Informacao, 2023-01-01)
    This article aims to make a bibliometric review, through the Web of Science (WoS) database, on informal learning. For this, a systematic search of research articles related to the subject of study is made, applying the consolidated meta-analytic approach theory (TEMAC). The study finds that the country with the most research is the United States with 38.1% of publications among the 10 most productive countries. Likewise, the use of augmented reality and virtual simulation games are identified as the digital technologies most associated in recent years with informal learning, with positive results in student learning and performance.
    Acceso restringido temporalmente
  • Innovation and Digital Competence: A Bibliometric Analysis

    Palacios-Nunez, Madeleine Lourdes; Toribio-Lopez, Alexander; Llaque, Paul; Deroncele-Acosta, Angel (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    To integrate ICT into the classroom critically, creatively, and safely, teachers require more than operational technology proficiency. They need the development of digital competence as a dynamic element of innovation in virtual classes. From this perspective, the objective of this study was to determine the current status of documents that relate innovation and digital competence. To this end, a bibliometric analysis of 172 investigations published in Web of Science was conducted. It was found that 54% of papers were carried out during the pandemic period (2020-2021) and 74% were published in the open access modality. The journal Sustainability presents the largest body of researches. Spain is the country with the highest production and Universidad de Pablo de Olavide has the largest number of publications. In the analysis of co-authorships by country, Spain has the greatest influence. It is concluded that there is a growing accessible and collaborative research, especially between European countries, although with an increasing intervention of Latin American countries. Moreover, the existence of research recurrence on the positive effects of innovation in digital competence of teachers and students to adequately integrate ICT in higher education is recorded.
    Acceso restringido temporalmente
  • Sustainable development and fair trade. A systematic review of the main research published between 2010-2022

    Cerna, Martin Leonardo Aranda; de Jesús Castro Cruzado, Esperanza; Jiménez, Daniela Díaz; Herrera, Dusant Q.ente Dongo; Vega, Estefanía Milagros Velarde; Morán, Carlos Alberto Azabache; Cuaresma, Julio Ricardo Moscoso (Latin American and Caribbean Consortium of Engineering Institutions, 2023-01-01)
    urrently, the impacts caused by sustainable development and fair trade in agriculture are favorable for the growth of production. The objective of this research was to determine the current trends on the commercial, environmental, and economic impact of sustainable development and fair trade in the agricultural sector during the period 2010-2022. The systematic review of literature (SRL) was used as a methodology, giving as a result, the choice of 40 sources for the analysis of this research. The results had determined that there is a greater use of the qualitative approach in refereed publications on the field of study. In addition, concluded that the effort of economic, public, private, and socioeconomic actors is required to achieve a synergy to induce a joint transformation of the agricultural sector. Likewise, research trends determine that there is a positive commercial impact of the usage of fair trade and sustainable development in the world that caused a greater commercial growth in the agricultural sector.
    Acceso abierto
  • Policy to Accentuate Social Resilience: Disaster Risk Management

    Morán, Roberto Carlos Dávila; Dávila, Leonardo Velarde; Gómez, Henri Emmanuel López (Universidad del Zulia, 2022-09-05)
    The reduction of social vulnerability to disaster risk as a process of political management is presented with high criticality in all areas of application, therefore, the article seeks to determine-through heuristic documentation-guidelines related to management of risks in the face of natural and anthropogenic disasters, which allow minimizing the impact and effects on the social and economic spheres, while building resilience in the communities. Sometimes, the political and technological capacities of governance do not assume risk management from a preventive perspective, rather reactive, therefore, from this research a perspective is proposed from four cosmogonic dimensions: risk identification, management and monitoring, mitigation actions and response capabilities in the event of an event. Finally, it is considered that the good practices of public management complemented with the capacities of the business sector promote social resilience to disasters.
    Acceso abierto
  • Digital Transformation and Technological Innovation on Higher Education Post-COVID-19

    Deroncele-Acosta, Angel; Palacios-Núñez, Madeleine Lourdes; Toribio-López, Alexander (MDPI, 2023-02-01)
    The university is an important pillar in sustainable development; however, COVID-19 imposed new dynamics that called for rethinking university praxis to achieve this mission, and although the systematization of good practices is a powerful mechanism for understanding educational success, this perspective of positive change has been little developed. Hence, the present study aimed to identify positive cores of faculty in their successful post-COVID-19 performance. A qualitative methodological approach was deployed, with the Netnography method, complemented with elements of positive psychology, appreciative inquiry, and management of formative potentialities. The online community consisted of 1238 university teachers from 10 Latin American countries, who participated for two months in an appreciative interview as an asynchronous journey of constructive proposals, for the active co-construction of post-COVID-19 success factors. The findings reveal multiple affirmative topics grouped into nine positive cores, identifying two target categories: digital transformation and technological innovation, as well as the processes directly associated with their dynamization. Finally, the epistemic implications of the findings in theory and practice, and their relevance in the creation of a formative agenda of positive change for Latin American Higher Education, are presented.
    Acceso abierto
  • Analyzing sustainability indicator for Chinese mining sector

    Li, Yongbo; Barrueta Pinto, Mark Christhian; Kumar, D. Thresh (Elsevier Ltd, 2023-01-01)
    Mining sector always comes under severe scrutiny due to their negative impacts towards society and environment. Several studies contributed to reduce these impacts exists in the mining operations, in the development, studies also started to explore various assessment mechanism to understand the mining firm's sustainability impact. Among such assessment strategies, sustainability indicators gained huge momentum in recent years specifically with mining operations. This study considers one such area to focus, sustainability indicator analysis in mining. There are several sustainability indicators were introduced in the literature, which makes the consideration of sustainability indicators as a chaotic process for practitioners. Considering the fact, this study sought to explore the influential sustainability indicator and their corresponding sustainability dimension with the case context of China. As a major global manufacturer, China explores different ways to do a sustainable mining business for their long-term growth and this study could impact on their sustainable development goals roadmap. Different sustainability indicators considering mining were collected from the existing studies and further validated and categorized with expert opinions under their respective dimensions of sustainability (economy, environment, and society). The validated sustainability indicators were evaluated through a multi criteria decision making tool, DEMATEL. The inputs for the analysis were collected from a Chinese mining case company. The results revealed the influential sustainability indicator for Chinese mining sector. By understanding the most and least influential indicators, the Chinese mining practitioners can eliminate the strategies to motivate the least influential indicator and improve the strategies to motivate most influential indicator.
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  • An application of Six Sigma DMAIRC model: case study of a manufacturing organisation

    Sharma, Pallavi; Gupta, Anshu; Malik, S. C.; Jha, P. C.; Pinto, Mark Christhian Barrueta (Inderscience Publishers, 2022-01-01)
    Global competition extends several challenges to micro, small and medium enterprises (MSMEs) organisations. There is an increasing need for these firms to adopt strategies for productivity improvement. Six Sigma is a data driven methodology supported by statistical, mathematical and managerial techniques for improving the bottom line effectively. In this paper, an application of DMAIRC model of Six Sigma is presented in context to a quality improvement initiative in an MSME organisation. DMAIRC is an effective alternative to linear DMAIC model, as it provides opportunity to review results and diagnose additional improvements. The additional improvements are checked for feasibility and implemented through additional improvement cycles. The study also demonstrates integration of the quality management techniques such as Pareto analysis, cause and effect analysis, current reality tree, design of experiments, and integrated AHP-TOPSIS in the DMAIRC model stages. The paper provides a roadmap for real life applications of Six Sigma methodology following the DMAIRC model.
    Acceso restringido temporalmente
  • Design of green infrastructure for the revaluation of the Ventanilla-Peru wetlands and the protection of the environment

    Esenarro, Doris; Quijano, Joseline; Rodriguez, Ciro; Arteaga, Jennifer; Hinojosa, Karina (Springer Science and Business Media Deutschland GmbH, 2022-01-01)
    The purpose of this research is the design of a green infrastructure that allows a regional conservation area to revalue the Ventanilla wetlands to promote ecotourism through spaces for the conservation of natural resources, turning it into a tourist attraction. The proposal considers design and construction criteria with adequate technology, biodegradable, and sustainable materials where environmental impact is minimized in this context. The collection of information through field visits and the use of different software for the topographic survey. Results show that the infrastructure design proposed was validated by a survey of potential users of the place, with 75% of the interviewees agreeing with the design proposal that allows interaction and harmony with nature, giving it a landscape value, generating local, national, and international visitors. The value is in the ecosystem services that the landscape provides to the city due to the design and construction criteria with adequate technology, biodegradable, and sustainable materials minimizing the environmental impact and promoting the cultural exchange, preservation, and ecological awareness wetland.
    Acceso restringido temporalmente
  • Method for Collecting Relevant Topics from Twitter supported by Big Data

    Silva, Jesús; Senior Naveda, Alexa; Gamboa Suarez, Ramiro; Hernández Palma, Hugo; Niebles Núẽz, William (Institute of Physics Publishing, 2020-01-07)
    There is a fast increase of information and data generation in virtual environments due to microblogging sites such as Twitter, a social network that produces an average of 8, 000 tweets per second, and up to 550 million tweets per day. That's why this and many other social networks are overloaded with content, making it difficult for users to identify information topics because of the large number of tweets related to different issues. Due to the uncertainty that harms users who created the content, this study proposes a method for inferring the most representative topics that occurred in a time period of 1 day through the selection of user profiles who are experts in sports and politics. It is calculated considering the number of times this topic was mentioned by experts in their timelines. This experiment included a dataset extracted from Twitter, which contains 10, 750 tweets related to sports and 8, 758 tweets related to politics. All tweets were obtained from user timelines selected by the researchers, who were considered experts in their respective subjects due to the content of their tweets. The results show that the effective selection of users, together with the index of relevance implemented for the topics, can help to more easily find important topics in both sport and politics.
  • Time Series Decomposition using Automatic Learning Techniques for Predictive Models

    Silva, Jesús; Hernández Palma, Hugo; Niebles Núẽz, William; Ovallos-Gazabon, David; Varela, Noel (Institute of Physics Publishing, 2020-01-07)
    This paper proposes an innovative way to address real cases of production prediction. This approach consists in the decomposition of original time series into time sub-series according to a group of factors in order to generate a predictive model from the partial predictive models of the sub-series. The adjustment of the models is carried out by means of a set of statistic techniques and Automatic Learning. This method was compared to an intuitive method consisting of a direct prediction of time series. The results show that this approach achieves better predictive performance than the direct way, so applying a decomposition method is more appropriate for this problem than non-decomposition.
    Acceso abierto
  • Neural Networks for the Web Services Classification

    Silva, Jesús; Senior Naveda, Alexa; Solórzano Movilla, José; Niebles Núẽz, William; Hernández Palma, Hugo (Institute of Physics Publishing, 2020-01-07)
    This article introduces a n-gram-based approach to automatic classification of Web services using a multilayer perceptron-type artificial neural network. Web services contain information that is useful for achieving a classification based on its functionality. The approach relies on word n-grams extracted from the web service description to determine its membership in a category. The experimentation carried out shows promising results, achieving a classification with a measure F=0.995 using unigrams (2-grams) of words (characteristics composed of a lexical unit) and a TF-IDF weight.
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  • Forecasting Electric Load Demand through Advanced Statistical Techniques

    Silva, Jesús; Senior Naveda, Alexa; García Guliany, Jesús; Niebles Núẽz, William; Hernández Palma, Hugo (Institute of Physics Publishing, 2020-01-07)
    Traditional forecasting models have been widely used for decision-making in production, finance and energy. Such is the case of the ARIMA models, developed in the 1970s by George Box and Gwilym Jenkins [1], which incorporate characteristics of the past models of the same series, according to their autocorrelation. This work compares advanced statistical methods for determining the demand for electricity in Colombia, including the SARIMA, econometric and Bayesian methods.
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  • Parallel Algorithm for Reduction of Data Processing Time in Big Data

    Silva, Jesús; Hernández Palma, Hugo; Niebles Núẽz, William; Ovallos-Gazabon, David; Varela, Noel (Institute of Physics Publishing, 2020-01-07)
    Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics of current computer architectures to run several processes concurrently [2]. This paper proposes a parallel version of the FuzzyPred algorithm based on the amount of data that can be processed within each of the processing threads, synchronously and independently.
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  • Temporary Variables for Predicting Electricity Consumption Through Data Mining

    Silva, Jesús; Senior Naveda, Alexa; Hernández Palma, Hugo; Niebles Núẽz, William; Niebles Núẽz, Leonardo (Institute of Physics Publishing, 2020-01-07)
    In the new global and local scenario, the advent of intelligent distribution networks or Smart Grids allows real-time collection of data on the operating status of the electricity grid. Based on this availability of data, it is feasible and convenient to predict consumption in the short term, from a few hours to a week. The hypothesis of the study is that the method used to present time variables to a prediction system of electricity consumption affects the results.
    Acceso abierto
  • Natural Language Explanation Model for Decision Trees

    Silva, Jesús; Hernández Palma, Hugo; Niebles Núẽz, William; Ruiz-Lazaro, Alex; Varela, Noel (Institute of Physics Publishing, 2020-01-07)
    This study describes a model of explanations in natural language for classification decision trees. The explanations include global aspects of the classifier and local aspects of the classification of a particular instance. The proposal is implemented in the ExpliClas open source Web service [1], which in its current version operates on trees built with Weka and data sets with numerical attributes. The feasibility of the proposal is illustrated with two example cases, where the detailed explanation of the respective classification trees is shown.
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