Centro de Investigación de Ciencias Humanas y de la Educación
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Optimizing Agriculture with LoRaWAN and HCI: A Smart Approach to Sustainable Farming

2025 , Valencia-Aragón, Kevin , Zapata, Mireya , Cristopher Toapanta , Arias Flores, Hugo Patricio

Modern agriculture faces challenges including water scarcity, excessive fertilizer use, and limited connectivity in rural areas, all exacerbated by climate change. This paper presents a smart agriculture system leveraging LoRaWAN technology and human-computer interfaces (HCI) to address these issues. The proposed system integrates low-cost sensors, a LoRaWAN-based network, and a user-friendly dashboard for real-time monitoring of critical variables such as soil moisture, ambient humidity and temperature. A proof-of-concept implementation demonstrates the system’s effectiveness in optimizing water and fertilizer use while maintaining scalability for large agricultural operations. The system operates reliably within rural environments without relying on traditional internet infrastructure, offering an affordable and sustainable solution. Field tests validate the system’s performance, highlighting its potential to enhance decision-making and resource efficiency in floriculture and beyond. Future work aims to expand the system’s capabilities with additional sensors, artificial intelligence for predictive analytics, and automated control mechanisms, further supporting sustainable farming practices

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Autonomous Learning Mediated by Digital Technology Processes in Higher Education: A Systematic Review

2020 , Fierro-Saltos W. , Sanz C. , Zangara A. , Guevara Maldonado, César Byron , Arias Flores, Hugo Patricio , Castillo Salazar, David Ricardo , Varela Aldas, José , Borja Galeas, Carlos , Rivera R. , Hidalgo-Guijarro J. , Yandún-Velasteguí M.

The concept of autonomous learning has been resignified in recent years as a result of the expansion of the different types of study. Online education in higher education institutions has become an effective option to increase and diversify opportunities for access and learning, however, high rates of dropout, reprisal and low averages still persist. academic performance. Recent research shows that the problem is accentuated because most students have difficulty self-regulating their own learning process autonomously. From this perspective, the purpose of the study was to examine and analyze, through a systematic review of the literature, on autonomous/self-regulated learning, theoretical models and determine which variables influence a learning process mediated by technology processes in the higher education. The findings indicate that: (1) autonomous learning is a synonym of self-regulation; (2) Pintrich’s self-regulatory model is the most used in digital contexts; and (3) the self-regulatory variables identified are wide and varied. © Springer Nature Switzerland AG 2020.

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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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Towards sustainable businesses in Latin America: The role of worker's Dark Triad personality traits

2023 , Afshar Jahanshahi A. , Mendoza M.I.R. , Juan Carlos Andrango Vicuña

Having sustainable businesses becomes priority for many Latin American countries these years. Socially responsible behaviors (SRBs) of employees in the workplace plays important roles in making businesses more sustainability oriented. The main aims of this research to identify those employees, which involve less in two types of SRBs: societal behaviors and sustainability-oriented behaviors at the workplace by considering their Dark Triad personality traits. By using survey-based data from 550 workers in Peru and Ecuador, we found a negative relationship between workers Dark Triad personality traits (Machiavilism and Psychopathy) and their socially responsible behaviors in the workplace. Furthermore, our results show that workers with higher level of Machiavilism and psychopathy has lower level of environmental concerns, which in turn reduce their intentions to involve in socially responsible behaviors in the workplace. Our study advances sustainable business research in Latin America by providing workers Machiavellianism and Psychopathy as a novel predictor of socially responsible behaviors of employees at the workplace. © 2023 ERP Environment and John Wiley & Sons Ltd.

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Optimal position control of a mobile manipulator for minimum energy

2022 , Varela Aldas, José

This work presents the position control with energy optimization for a mobile manipulator and the proposal is based on the Pontryagin's Minimum Principle. The objective function is subject to the kinematic model of the robot with the non-holonomic motion constraint of the mobile platform and the boundary conditions as the desired parameters of the controller. The obtained differential equations are solved using the Shooting method to find the optimal co-states. The simulation performed shows that the position errors tend to zero and the control actions are optimized. Furthermore, these results are evaluated with respect to a control law based on the inverse kinematics of the robot. Finding that the minimum energy objective function is affected by the final time. © 2022 IEEE.

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Plant layout of a blackberry pulp production process

2023 , Teneda E. , Caceres L. , Varela Aldas, José

An adequate plant layout expedites the production process, optimizing time and resources to improve the industrial system's performance. This work presents the plant layout of a blackberry pulp production process using the systematic layout planning (SLP) methodology, which allows for analysis and evaluation and renders all the elements involved in the productive process. This qualitative method allows for locating the internal components of the plant-based on different factors. Tools used include material flow analysis through the from/to chart; the Guerchet methodology makes it possible to determine the total area needed; the space relationship diagram allows fixing the proximity between the elements; finally, three alternatives are established and evaluated for the distribution. According to the scores obtained, the alternative improvement is selected, and the plant layout is virtualized using three different 3D design software that allows rendering of the plant layout. ©2023 IEEE.

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Virtual Environment for the Mashing and Boiling Process in Craft Beer Production

2023 , Pogo S.I. , Granizo J. , Andaluz V.H. , Varela Aldas, José

Process automation allows to increase production and improve the quality of craft products. This paper presents the implementation of closed-loop control algorithms for a mashing and brewing plant of craft beer. The proposed control scheme is implemented through the HIL technique, for which a virtual environment that simulates the behavior of the industrial process and a control card where the control algorithms are implemented are considered. To represent the behavior of the plant level and temperature processes, the mathematical model of each process is obtained, this model is used for the design of the control algo-rhythms, and the plant is modeled in 3D and incorporated into the graphics engine also has effects of realism together with been 3D in order to increase the level of realism to the process. For user interaction with the environment, an HMI type mantle center is incorporated to visualize and control the process manually, semi-automatically, and automatically, in order to test the control algorithms safely and avoid the risk of instrumentation damage or loss of real materials. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Body Temperature Control Using a Robotic Arm

2021 , Varela Aldas, José , Moreira A. , Criollo P. , Ruales, María Belén

At the end of 2019, a highly contagious virus appears, changing the form of interaction between humans, this has implied the use of technology as a support tool to counteract the effects of the new disease (COVID-19). Although many technologies have been successfully adapted, applied robotics promises to reduce or even eliminate the need for person-to-person contact. This article presents the control of the body temperature of the clients of a commercial premises through the implementation of a system that includes a robotic arm, two sensors and a mobile device. The robotic arm is constructed using 3D printing and a low-cost electronic circuitry, body temperature is obtained using an infrared sensor, and a mobile device displays, alerts, and stores the information. The developed code allows remote control of the robot positions or a pre-programmed sequence is automatically activated that includes temperature measurement and hand disinfection. The results show the robot in operation and the data acquired by the system, observing adequate temperatures in most of the users and a single alert during the tests carried out. The conclusions establish the importance of the system in the real application and highlight the multiple benefits of this proposal. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Academic Tutoring in Virtual Education: A Case Study in University Students

2023 , Núñez-Hernández C. , Núñez Naranjo, Aracelly

Tutoring plays a crucial role in students' success by providing them with academic support, helping them overcome obstacles, and fostering their confidence in professional development. Specifically, in higher education, tutoring aims to complement academic training and address dropout and educational lag. Virtual tutoring offers advantages in terms of scope and logistics, but also presents challenges in building online relationships. The interaction between teachers and students is a key factor that influences the motivation of the latter, and personalized virtual tutoring is highly valued by distance students. This study employed a descriptive and quantitative methodology, collecting data from a representative sample of higher education students in Ecuador. An adapted questionnaire was used to assess students' satisfaction with the university tutor, as well as the organization and content of the tutoring sessions. The results revealed satisfactory levels regarding the tutor's personal skills, the work performed, and university tutoring in general, both in face-to-face and virtual modalities. The conclusions highlight the importance of virtual academic tutoring for student success, emphasizing its personalized support and positive impact on motivation. Further research is recommended to delve into the factors influencing satisfaction with academic tutoring and to utilize these findings to improve the tutoring process in higher education. © 2023 IEEE.

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Experimental Studies on TiO2 NT with Metal Dopants through Co-Precipitation, Sol–Gel, Hydrothermal Scheme and Corresponding Computational Molecular Evaluations

2023 , Estévez Ruiz E.P. , Lago J.L. , Thirumuruganandham, Saravana Prakash

In the last decade, TiO2 nanotubes have attracted the attention of the scientific community and industry due to their exceptional photocatalytic properties, opening a wide range of additional applications in the fields of renewable energy, sensors, supercapacitors, and the pharmaceutical industry. However, their use is limited because their band gap is tied to the visible light spectrum. Therefore, it is essential to dope them with metals to extend their physicochemical advantages. In this review, we provide a brief overview of the preparation of metal-doped TiO2 nanotubes. We address hydrothermal and alteration methods that have been used to study the effects of different metal dopants on the structural, morphological, and optoelectrical properties of anatase and rutile nanotubes. The progress of DFT studies on the metal doping of TiO2 nanoparticles is discussed. In addition, the traditional models and their confirmation of the results of the experiment with TiO2 nanotubes are reviewed, as well as the use of TNT in various applications and the future prospects for its development in other fields. We focus on the comprehensive analysis and practical significance of the development of TiO2 hybrid materials and the need for a better understanding of the structural–chemical properties of anatase TiO2 nanotubes with metal doping for ion storage devices such as batteries. © 2023 by the authors.

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