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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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Pólya’s Methodology for Strengthening Problem-Solving Skills in Differential Equations: A Case Study in Colombia

2023 , Chacón-Castro M. , Buele, Jorge , López-Rueda A.D. , Jadán-Guerrero J.

The formation of students is integral to education. Strengthening critical thinking and reasoning are essential for the professionals that today’s world needs. For this reason, the authors of this article applied Pólya’s methodology, an initiative based on observing students’ difficulties when facing mathematical problems. The present study is part of the qualitative and quantitative research paradigm and the action research methodology. In this study, the inquiry process was inductive, the sample is non-probabilistic, and the data interpretation strategy is descriptive. As a case study, six students were enrolled onto a differential equations course at the Universidad Autónoma de Bucaramanga. A didactic process was designed using information and communication technologies (ICTs) in five sequences that address first-order differential equation applications. As a result of the pedagogical intervention, problem-solving skills were strengthened. All this was based on asking the right questions, repeated reading, identifying and defining variables, mathematization, communication, and decomposing the problem into subproblems. This research study seeks to set a precedent in the Latin American region that will be the basis for future studies. © 2023 by the authors.

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Structural design of a telemetry and video surveillance system implemented in a UAV [Diseño estructural de un sistema de telemetría y videovigilancia implementado en un UAV]

2020 , Moscoso M.E. , Yánez-Arcos E. , Enríquez V. , Cuji J. , Naranjo-ávalos H. , Salazar F.W. , Buele, Jorge

Exploration and monitoring in areas of great extension, where illegal activities could be carried out is a problem that affect to Latin American air forces. Therefore, this research paper describes the structural design of a telemetry system to develop surveillance missions in a small-range UAV prototype. The appropriate elements that are part of the unmanned aerial system (UAS) are determined based on an aerodynamic analysis, determine the best technology, at a reduced cost. The equipment is installed and conditioned maintaining the specific conditions of the aircraft, for stable flights and reliable communication links. The validation of this proposal is carried out through a set of tests that confirm its high reliability, despite being a prototype system. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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Natural lighting performance of vernacular architecture, case study oldtown Pasa, Ecuador

2023 , Bustán-Gaona D. , Ayala-Chauvin M. , Buele, Jorge , Jara-Garzón P. , Riba-Sanmartí G.

Vernacular architecture is an architectural style that reflects the traditions and cultural aspects of a particular region or community. It is characterized by the use of local materials and traditional construction techniques, adapting to the climatic, geographical, and cultural conditions of the place. Despite extensive research on the benefits of natural lighting in modern architecture, there is limited understanding of how vernacular architecture integrates natural lighting principles in various climatic conditions, mainly due to restrictions in intervention and concerns about structural integrity. In today's world, energy efficiency and conservation are crucial aspects of building design. Therefore, this study aims to analyze the effectiveness of natural lighting in the indoor spaces of vernacular architecture. The research includes measurements taken in traditional buildings in the parish of Pasa, Ambato, Ecuador, as well as simulations to evaluate the behavior of sunlight. The findings reveal that, with new construction technologies, lighting levels in the interior spaces of these buildings can be improved. To address this issue, a proposed solution is presented to optimize the use of natural light, resulting in an increase from 30 to 100 lx. This improvement could pave the way for the implementation of policies that enhance the quality of life for users. © 2023

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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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Vehicle locking system using an electronic breathalyzer and notification by mobile communication

2020 , Brito, G. , Salazar, F.W. , Lema, E.O. , Sánchez, A.P. , Pérez, H.V. , Buele, Jorge

This paper presents the implementation of a prototype to lock/unlock the vehicle ignition system. It involves the adaptation of an opto-isolated relay, which has been equipped with a wireless interface of the MQTT protocol. The relay activation is controlled by an embedded board Raspberry Pi 3; it acts as the main unit of the proposed system. The executed control actions are given depending on the information received by radiofrequency from an implemented electronic breathalyzer. This device evaluates the alcohol level and humidity in the driver's breath using the MQ-3 and DHT11 sensors. In addition, a mobile communication platform compatible with Android smartphones is provided to inform the enabling/disabling of the vehicle's ignition system, its geographical location by GPS coordinates and a front facial photograph of the driver. All these features are incorporated by a wireless local network (WiFi) for the elements that make up the prototype. This work also presents the transmission of information to mobile terminals compatible with the Telegram instant messaging system through the UMTS network. In order to validate this proposal, the corresponding tests are carried out and their comparison with a commercial device. © 2020 American Scientific Publishers.

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Automation of an Electro-Hydraulic Test Bench Using a Weitek CMT3092 HMI- PLC

2022 , Altamirano-Haro D. , Sánchez-Díaz P.E. , Buele, Jorge , Ayala-Chauvin, Manuel Ignacio

The industrial environment demands mean that future professionals must acquire more and more technical skills. However, this represents a high investment that many higher education institutions cannot afford. Therefore, the laboratory equipment is updated, and this study begins with the automation of an electro-hydraulic test bench that was manual. For this, a PLC - Weintek was selected, whose programming was carried out in ladder language using CODESYS as a development platform, using an open Modbus programming code through the SFD block language. A human-machine interface (HMI) on a touch screen in the system allows user input (with various hierarchies) and operations control. The operator can also store data for later analysis. Finally, the validation of this proposal is carried out with the respective experimental tests, obtaining a significant reduction in the execution time of the three proposed tasks and improvement of learning conditions. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Predicting Academic Performance in Mathematics Using Machine Learning Algorithms

2022 , Espinosa Pinos, Carlos Alberto , Ayala-Chauvin, Manuel Ignacio , Buele, Jorge

Several factors, directly and indirectly, influence students’ performance in their various activities. Children and adolescents in the education process generate enormous data that could be analyzed to promote changes in current educational models. Therefore, this study proposes using machine learning algorithms to evaluate the variables influencing mathematics achievement. Three models were developed to identify behavioral patterns such as passing or failing achievement. On the one hand, numerical variables such as grades in exams of other subjects or entrance to higher education and categorical variables such as institution financing, student’s ethnicity, and gender, among others, are analyzed. The methodology applied was based on CRISP-DM, starting with the debugging of the database with the support of the Python library, Sklearn. The algorithms used are Decision Tree (DT), Naive Bayes (NB), and Random Forest (RF), the last one being the best, with 92% accuracy, 98% recall, and 97% recovery. As mentioned above, the attributes that best contribute to the model are the entrance exam score for higher education, grade exam, and achievement scores in linguistic, scientific, and social studies domains. This confirms the existence of data that help to develop models that can be used to improve curricula and regional education regulations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Prototype System of Geolocation Educational Public Transport Through Google Maps API

2020 , Salazar F.W. , Naranjo-Ávalos H. , Buele, Jorge , Pintag M.J. , Buenaño É.R. , Reinoso C. , Urrutia-Urrutia P. , Varela Aldas, José

Urban traffic complications in most underdeveloped countries and congestion in all metropolitan areas has become a daily problem with a difficult solution. Disorganized mobility of drivers and pedestrians along with the increase in travel time, non-compliance with schedules, air pollution and intolerable sound levels, have harmful effects on human health. Therefore, this research describes a geolocation system of urban transport through a mobile application developed on the Xamarin platform. Drivers send the latitude and longitude points when starting a route, this data will be sent to the SQL SERVER online database server, using the SmarterASP.NET platform. By developing the geolocation system in ASP.NET, the coordinates are available to users in an interval of 5 s. The developed interface shows a location map, where the route in real time is presented. It also shows the administration of users, drivers, buses, assignment of routes, assignment of buses and registration of static routes. Being a prototype system, the university transport system has been taken as an object of study to corroborate its correct operation with the respective experimental tests. Satisfaction surveys have also been carried out on a group of 300 people, among students and university teachers and their validation is carried out through the Technological Acceptance Model (TAM). To interpret the results, Kendall Tau-b correlation analysis was used, obtaining positive correlation values with a high significance value. © 2020, Springer Nature Switzerland AG.

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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.