Buele, Jorge
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Buele, Jorge
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Ambato
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jorgebuele@uti.edu.ec
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57200380202

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Cognitive Flexibility and Attitude Toward AI: A Correlational Study

2025 , Subia Arellano, Andrés , Pérez Vega, Doris , Rocio Patiño-Fernández , Buele, Jorge

Artificial intelligence plays a leading role across various sectors, underscoring the importance of understanding the individual factors influencing their acceptance. Previous research has pointed out that variables such as age, gender, and cognitive flexibility impact attitudes toward these technologies. However, the interaction among these variables still requires further analysis. This study sought to explore the relationships between cognitive flexibility, age, gender, and attitudes toward artificial intelligence in a sample of 342 participants, with an average age of 26.80 years. Employing a descriptive-correlational design, two scales were used: one to measure cognitive flexibility and another to assess attitudes toward this technology. Due to the lack of normality in the distributions of the variables, Spearman's correlation was used for the analysis. The results show that cognitive flexibility and educational level have a positive and significant relationship with the attitude toward artificial intelligences (r = 0.245, p < 0.001 and r = 0.140, p = 0.009, respectively). On the other hand, age presents a weak negative relationship (r = -0.117, p < 0.05), while no significant relationship was observed with gender. These findings provide an initial basis for understanding individual differences in technology acceptance, although further research is needed to delve into the underlying mechanisms and evaluate other contextual factors.

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Analysis of Musculoskeletal Disorders in University Administrative Staff: A Necessary Ergonomic Assessment

2024 , Cruz-Salazar R. , Buele, Jorge

Musculoskeletal disorders in work environments with repetitive tasks and long-period forced postures are common. A university’s administrative staff presented a high incidence of musculoskeletal disorders in the neck, lower back, shoulder, and wrist. Preventive measures should be taken to improve ergonomic conditions and minimize the risk of chronic injuries. The evaluation using the RULA method, and the Nordic Questionnaire revealed a medium to a high incidence of musculoskeletal discomfort in administrative staff. The position adopted by users strongly influences this situation, and it is recommended to follow ergonomic recommendations to minimize ergonomic risks. Forced postures in specific body areas, such as the neck, shoulder, and wrist, should be corrected with changes in the task and study, even redesigning them. The Nordic Questionnaire found that 100% of the participants feel neck, lower back, and elbow discomfort and 87.5% in the shoulder and hand/wrist. The discomfort lasts over three months, forcing 87.5% of people to change jobs. The intensity of the discomfort is moderate, and its origin has been mainly forced postures in the neck and lower back and repetitive movements in the hand/wrist. This shows the need to take preventive measures to improve ergonomic conditions and reduce the risk of injuries and chronic discomfort in employees. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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An assessment of a ROS class using an educational mobile robot

2024 , Varela Aldas, José , Junta, Christian , Buele, Jorge , Guillermo Palacios-Navarro

The Robot Operating System (ROS) is a middleware that standardizes robot programming, both in simulation and with real equipment. Despite this open-source tool being available for several years, there's still a need to enhance its utilization in robotics education across all educational levels. In this study, a ROS class is assessed among university students using a commercial educational robot. The primary objective is to measure academic emotions in learning and student performance to determine the impact of the class using the open-access tool from a GitHub repository (https://github.com/joseVarelaAldas/ROS-Crowbot). This tool is based on the rosserial package, compatible with the ESP32 board. For class, CrowBot robots connected to the local wireless network via WiFi are used. TThe participants in this study were eight students from an electronics degree program at a higher education institution, who had no prior experience with ROS and received practical training using the educational mobile robot. For data collection on class performance, three parameters are assessed: execution time, functionality, and motivation, and to measure academic emotions, a validated self-report instrument is used. The results show an overall performance of 82.1%, and in the self-report on academic emotions, a high score in enjoyment (95%) and the lowest score in boredom (24.1 %) were obtained. In conclusion, the repository provides an interesting, practical, and accessible tool for an introduction into the world of robotics using ROS.

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Monitoring Air Pollutants in Industrial Settings: a Study in Tungurahua, Ecuador

2025 , Lara Calle, Andrés , Jhonathan Espinoza-Tenemaza , Buele, Jorge

Air quality in work environments is essential for workers’ health, particularly in industrial sectors where processes emit hazardous pollutants. This study, conducted in the province of Tungurahua, Ecuador, assessed air quality across various industrial companies using an IoT device to measure suspended particles (PM1.0, PM2.5, PM10) and other pollutants such as CO2, formaldehyde, and total volatile organic compounds. The goal was to identify variations in pollutant concentrations and evaluate associated health risks. Air quality measurements were conducted using an IoT-based device designed to detect real-time levels of particulate matter and other pollutants. The study focused on different industrial sectors, including plastics production, wood processing, agricultural machinery, car dealerships, and industrial laundries, to provide a comprehensive overview of workplace air quality. The study found that companies involved in plastics, wood, and agricultural machinery production exhibited high levels of particulate matter, with PM1.0 concentrations between 1000 and 2000 μg/m3 and spikes in PM2.5 and PM10 exceeding permissible limits, posing health risks to workers. In contrast, car dealerships and industrial laundries showed significantly lower pollutant levels, suggesting more effective emissions control measures. These findings highlight the need for continuous air quality monitoring and stricter emissions control in high-pollution sectors to safeguard workers’ health. The study also provides a foundation for future research, which should expand to include other sectors and regions in Latin America, where strict air quality regulations in work environments are often lacking.

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Prototype of a Low Cost Turbine for the Generation of Clean Energy in the Ecuadorian Amazon

2020 , Guáitara B. , Buele, Jorge , Salazar F.W. , Varela Aldas, José

Access to electricity supply in remote areas is limited, despite having wealth of other natural resources such as water. This document presents the design and construction of a scale electric generation system, taking advantage of the hydraulic energy produced by a constant flow of water flow. For this, the turbine design is described, which is based on the principles of Francis and Kaplan. In addition, the structural design made in CAD/CAM software and the actual implementation of the system are shown. To determine the generated electric potential, the electromagnetic analysis is performed based on the Maxwell-Faraday equation and the respective calculations. The validation of this proposal is determined by conducting experimental tests with balanced, unbalanced, series and parallel coils and with their implementation in a home. © 2020, Springer Nature Switzerland AG.

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Effects of a dual intervention (motor and virtual reality-based cognitive) on cognition in patients with mild cognitive impairment: a single-blind, randomized controlled trial

2024 , Buele, Jorge , Avilés-Castillo, Fátima , Carolina Del-Valle-Soto , Varela Aldas, José , Guillermo Palacios-Navarro

Abstract Background The increase in cases of mild cognitive impairment (MCI) underlines the urgency of finding effective methods to slow its progression. Given the limited effectiveness of current pharmacological options to prevent or treat the early stages of this deterioration, non-pharmacological alternatives are especially relevant. Objective To assess the effectiveness of a cognitive-motor intervention based on immersive virtual reality (VR) that simulates an activity of daily living (ADL) on cognitive functions and its impact on depression and the ability to perform such activities in patients with MCI. Methods Thirty-four older adults (men, women) with MCI were randomized to the experimental group (n = 17; 75.41 ± 5.76) or control (n = 17; 77.35 ± 6.75) group. Both groups received motor training, through aerobic, balance and resistance activities in group. Subsequently, the experimental group received cognitive training based on VR, while the control group received traditional cognitive training. Cognitive functions, depression, and the ability to perform activities of daily living (ADLs) were assessed using the Spanish versions of the Montreal Cognitive Assessment (MoCA-S), the Short Geriatric Depression Scale (SGDS-S), and the of Instrumental Activities of Daily Living (IADL-S) before and after 6-week intervention (a total of twelve 40-minutes sessions). Results Between groups comparison did not reveal significant differences in either cognitive function or geriatric depression. The intragroup effect of cognitive function and geriatric depression was significant in both groups (p < 0.001), with large effect sizes. There was no statistically significant improvement in any of the groups when evaluating their performance in ADLs (control, p = 0.28; experimental, p = 0.46) as expected. The completion rate in the experimental group was higher (82.35%) compared to the control group (70.59%). Likewise, participants in the experimental group reached a higher level of difficulty in the application and needed less time to complete the task at each level. Conclusions The application of a dual intervention, through motor training prior to a cognitive task based on Immersive VR was shown to be a beneficial non-pharmacological strategy to improve cognitive functions and reduce depression in patients with MCI. Similarly, the control group benefited from such dual intervention with statistically significant improvements. Trial registration ClinicalTrials.gov NCT06313931; https://clinicaltrials.gov/study/NCT06313931.

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3D Object Reconstruction Using Concatenated Matrices with MS Kinect: A Contribution to Interiors Architecture

2020 , Buele, Jorge , Varela Aldas, José , Castellanos E.X. , Jadán Guerrero, Janio , Barberán J.

Interior architecture is part of the individual, social and business life of the human being; it allows structuring the spaces to inhabit, study or work. This document presents the design and implementation of a system that allows the three-dimensional reconstruction of objects with a reduced economic investment. The image acquisition process and treatment of the information with mathematical support that it entails are described. The system involves an MS Kinect as a tool to create a radar that operates with the structured light principle to capture objects at a distance of less than 2 meters. The development of the scripts is done in the MATLAB software and in the same way the graphical interface that is presented to the user. As part of the initial tests of this prototype, the digitization of geometric shape structures has been performed with an accuracy of over 98%. This validates its efficient operation, which serves as the basis for the development of modeling in interior architecture for future work. © 2020, Springer Nature Switzerland AG.

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System for Monitoring and Warning of the Ultraviolet Radiation Index: A Study Case in Ecuador Elementary Schools

2020 , Buele, Jorge , Chango F.I. , Chango M.L.Á. , Santamaría M. , Varela Aldas, José

Solar ultraviolet (UV) radiation has increased in recent years due to ozone layer depletion and in Ecuador in particular, due to its geographical position and the height of its cities. Prolonged sun exposures in childhood increase the risk of causing malignant effects on the skin and eyes, such as squamous cell carcinoma, melanoma and cataracts. For this reason, this document describes the design of a device based on UV optical sensors that allows determining the existing radiation index. As a processing unit there is the Raspberry Pi 3B+ embedded board and to display the data physically there are LED panels. The storage of information is done through a database managed by MySQL and also implemented on the board. The levels of the ultraviolet radiation index (UVI) are presented through a graphical user interface (GUI) in real time, which also allows generating a report in a.csv file. Functional tests were carried out in the central courtyard of two educational units, to raise awareness among parents and authorities on the adoption of preventive measures that avoid possible damage to the skin of children when carrying out outdoor activities. © 2020, Springer Nature Switzerland AG.

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Virtual reality applications based on instrumental activities of daily living (iADLs) for cognitive intervention in older adults: a systematic review

2023 , Buele, Jorge , Varela-Aldás J.L. , Palacios-Navarro G.

Background: In recent years, the use of virtual reality (VR) as a complementary intervention in treating cognitive impairment has significantly increased. VR applications based on instrumental activities of daily living (iADL-VR) could offer a promising approach with greater ecological validity for intervention in groups with cognitive impairments. However, the effectiveness of this approach is still debated. Objective: This systematic review aims to synthesize the effects of iADL-VR interventions to rehabilitate, train, or stimulate cognitive functions in healthy adults and people with mild cognitive impairment (MCI) and different types of dementia. Methods: A systematic search was performed in the Scopus, PubMed, IEEE Xplore, Web of Science, and APA PsycNet databases until September 2022 and repeated in April 2023. The selected studies met the search terms, were peer-reviewed, included an iADL-VR intervention, and were written in English. Descriptive, qualitative studies, reviews, cognitive assessment, non-intervention studies, those unrelated to VR or iADL, those focused on motor aspects, and non-degenerative disorders were excluded. The PEDro scale was used to assess the methodological quality of the controlled studies. To present and synthesize the results, we organized the extracted data into three tables, including PEDro scores, participant characteristics, and study characteristics. Results: Nineteen studies that met the inclusion and exclusion criteria were included. The total sample reached 590 participants, mostly women (72.67%). Approximately 30% were diagnosed with Alzheimer’s disease or dementia, and 20% had mild cognitive impairment. Variables such as authors and year of publication, study design, type of intervention and VR applied, duration of the intervention, main findings, and conclusions were extracted. Regarding demographic characteristics, the sample size, age, sex, years of education, neurological diagnosis, dropouts, and the city and country where the intervention took place were recorded. Almost all studies showed improvements in some or all the outcomes after the intervention, generally greater in the iADL-VR group than in the control group. Conclusion: iADL-VR interventions could be beneficial in improving the performance of cognitive functions in older adults and people with MCI and different types of dementia. The ecological component of these tasks makes them very suitable for transferring what has been learned to the real world. However, such transfer needs to be confirmed by further studies with larger and more homogeneous samples and longer follow-up periods. This review had no primary funding source and was registered with PROSPERO under registration ID: 375166. © 2023, The Author(s).

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Monitoring System for Physical Water Quality Parameters and Automatic Control for Chlorine Dosing in a Aerator Treatment Plant

2021 , Balarezo J.C. , Buele, Jorge , Naranjo-Avalos H. , Castillo F. , Vargas W.G. , Salazar F.W.

This work proposes the development and creation of an automatic monitoring and control system for the dosage of chlorine in the water treatment plant, purifying the vital liquid and avoiding the distribution and consumption of water contaminated by microorganisms. This is achieved by monitoring the physical parameters through the data sent by wireless sensors, acquiring them in a database, sending the data in real time to a web server, where they can be visible to the public, and generating automatic control in Based on the data obtained, this occurs in a water treatment pools. For this, a Raspberry Pi board is used, it acts as a data store, two Arduino Mega, acting as control nodes, a LAN server, and a PID control for the automatic control of chlorine dosage, thus achieving precautionary that the water is disinfected from any microorganism present. © Published under licence by IOP Publishing Ltd.

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