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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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System Identification and Nonlinear Model Predictive Control with Collision Avoidance Applied in Hexacopters UAVs

2022 , Recalde, Luis , Guevara, B.S. , Carvajal, C.P. , Andaluz, V.H. , Varela Aldas, José , Gandolfo, D.C.

Accurate trajectory tracking is a critical property of unmanned aerial vehicles (UAVs) due to system nonlinearities, under-actuated properties and constraints. Specifically, the use of unmanned rotorcrafts with accuracy trajectory tracking controllers in dynamic environments has the potential to improve the fields of environment monitoring, safety, search and rescue, border surveillance, geology and mining, agriculture industry, and traffic control. Monitoring operations in dynamic environments produce significant complications with respect to accuracy and obstacles in the surrounding environment and, in many cases, it is difficult to perform even with state-of-the-art controllers. This work presents a nonlinear model predictive control (NMPC) with collision avoidance for hexacopters’ trajectory tracking in dynamic environments, as well as shows a comparative study between the accuracies of the Euler–Lagrange formulation and the dynamic mode decomposition (DMD) models in order to find the precise representation of the system dynamics. The proposed controller includes limits on the maneuverability velocities, system dynamics, obstacles and the tracking error in the optimization control problem (OCP). In order to show the good performance of this control proposal, computational simulations and real experiments were carried out using a six rotary-wind unmanned aerial vehicle (hexacopter—DJI MATRICE 600). The experimental results prove the good performance of the predictive scheme and its ability to regenerate the optimal control policy. Simulation results expand the proposed controller in simulating highly dynamic environments that showing the scalability of the controller. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

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Study of the Influence of Anthropogenic Sources on the Water Quality of the Ambato River, Tungurahua - Ecuador. A Growing Environmental Problem

2022 , Pérez Aldas L.V. , Guachamin Zambrano S.N. , Acurio Arcos L.P. , Robalino Martínez D. , Fuentes E.M.

The objective of this research was to establish the effect of anthropogenic sources on the degree of contamination in five points of the middle and lower basin of the Ambato River, in the province of Tungurahua (Ecuador), by determining ten physicochemical parameters following the Manual of Standard Methods for Water and Wastewater Analysis and Determination of Water Quality Index (WQI) from the National Sanitation Foundation NSF. The tests were structured in a replicated double division design, taking a sample for each sampling point, dividing them into two subsamples, which later are going to be four times replicated, 20 water samples were collected along the middle and lower basin of the river in two sampling campaigns. Of all the parameters tested, at least four parameters are within the permissible limit, temperature, turbidity, biological oxygen demand, and dissolved solids; while dissolved oxygen, suspended and total solids, hydrogen potential, chemical oxygen demand, and surfactants surpassed the permissible limits under the Ecuadorian law present at the “Environmental Quality and Water Resource Discharge Standard Book VI Annex 1” (TULSMA), according to the WQI, it was fair and foul along the river regarding the water quality. The results showed that untreated industrial wastewater and domestic waste discharged into the river are the main causes of environmental risk. Also, they affect the populations near the river since they use this water as a source for irrigation of their crops, becoming a health risk for consumers of the grown products irrigated with this water along the riverside. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Intelligent Dashboard to Optimize the Tax Management in a Town Municipal Government

2022 , Castillo F. , Oleas-Orozco J.A. , Saá-Tapia F. , Mena-Navas C.

During the pandemic period, the tax collection in the Municipal Governments in Ecuador held a considerable decrease in money income, suffering reductions in budgets that finance the institutional works in the towns. With several taxes, existence becomes challenging to know which are the ones that citizens stop paying. With the purpose of solving this difficulty, in this work, we developed an intelligent dashboard by using the CRISP methodology. As a first step, we evaluated the tax collections information from the Town Cevallos’ municipal government in Ecuador through the management of administrative processes. The information was obtained from the municipality's official digital databases, documentary collections, and interviews with the departments involved in tax collection. The information released helps us determine the need for an intelligent automated tool to optimize the tax collection process. The tool allowed the understanding of the know-how of the tax collection process in the municipality and the paradigm of information storage. Thus, the tool allows us the detection of errors in databases and the collaborative construction of interactive reports for the management staff. The dashboard implementation allowed to optimize the information management, the depuration, and correction of inconsistent data. In consequence, the time used for this process was 40% compared to the time employed without the dashboard. Finally, the intelligent dashboard gives great support. It reduces the global response time by 87%, obtaining several scenarios based on information entered into the database, contributing to the correct decision-making based on graphical reports. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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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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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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Management and Control of Occupational Risks in the Manufacture of Fuel and Oil Filter Caps

2021 , Ron-Valenzuela P. , Topon-Visarrea B. , Delgado M.

In the process of manufacturing oil and fuel filter covers, mechanical risks have been identified such as: entrapment and crushing of hands with risk level I (not acceptable) and projection of fragments and particles with risk level II (Not acceptable or acceptable with specific control); For this, corrective measures were established at the source of risk by means of a spring system in each of the molds so that the filter cover after being pressed is expelled uniformly without the need for the operator to insert his hands in the danger zone. In the accident transmission medium, an adjustable safety guard and a mechanical guide element were implemented which allow the entry and exit of the covers. Finally, workers were provided with work gloves selected under international standards. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

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A Simple Method for Implementation of a Solar Oven for Lumber Drying

2024 , Escudero-Villa P. , Pachacama A. , Núñez-Sánchez J. , Topón-Visarrea L.

In Ecuador, the small and medium-sized wood industries dedicated to the manufacture of boards use a form of natural drying, which takes six months to two years depending on the moisture content, the type of wood, and the thickness. In regular bases, the natural drying process requires six months to obtain dry wood that can be processed to final products, which causes delays in the delivery of production batches and loss of time, affecting the internal economy. In this work, we present a design for a simple implementation of a solar oven to dry wood and derivatives. For this objective, we included the oven chamber physical dimensioning, the requirements and thermodynamic analysis, and a comparison with the standard traditional method. The oven was dimensioned to keep a range of temperature from 15 to 45° in a chamber of . The result of this design allows a time saving of 66.67% and profits of 304% per month for a standard wood processed. These results are possible due to the specific geographical location and climate of Ecuador, which directly influence the effectiveness of a solar oven. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

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Body Composition Evaluation using Bioelectrical Impedance and its Impact on Academic Performance of Nursing Students

2023 , Romero Riaño, Paola , Camaño Carball, Lilian , Yánez-Rueda H. , Buele, Jorge

In the past, nutritional assessment relied on manual measurements that did not allow for the differentiation of body composition components. With technological advancements, the introduction of bioelectrical impedance has provided a more specific approach to obtaining results. This study aims to utilize this innovative method to assess the connection between body composition and academic performance in nursing students. The research focused on a representative sample of 89 participants, utilizing bioelectrical impedance to measure the primary bioelements of the human body. Strong and significant correlations were observed between height and weight, height and muscle mass, and muscle mass and weight. A moderate correlation was found between weight and fat, as well as significant weak correlations between age and fat, and between fat and body mass index. Additionally, a significant weak negative correlation was observed between height and fat. Of the participants, 42.2% of women and 48% of men were classified as overweight. However, the statistical analysis did not reveal significant correlations between academic performance and variables such as weight, muscle mass, fat, and body mass index. Based on this information, it was concluded that most students had a body mass index within the normal range, and no direct relationship between body composition and academic performance was identified. Continuous monitoring of overweight students using this technology is recommended to promote healthy nutritional practices. © 2023 IEEE.

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Mapping Monophonic MIDI Tracks to Vibrotactile Stimuli Using Tactile Illusions

2022 , Remache Vinueza, Byron , Trujillo-León A. , Clim M.-A. , Sarmiento-Ortiz F. , Topon-Visarrea L. , Jensenius A.R. , Vidal-Verdú F.

In this project, we propose an algorithm to convert musical features and structures extracted from monophonic MIDI files to tactile illusions. Mapping music to vibrotactile stimuli is a challenging process since the perceptible frequency range of the skin is lower than that of the auditory system, which may cause the loss of some musical features. Moreover, current proposed models do not warrant the correspondence between the emotional response to music and the vibrotactile version of it. We propose to use tactile illusions as an additional resource to convey more meaningful vibrotactile stimuli. Tactile illusions enable us to add dynamics to vibrotactile stimuli in the form of movement, changes of direction, and localization. The suggested algorithm converts monophonic MIDI files into arrangements of two tactile illusions: “phantom motion” and “funneling”. The validation of the rendered material consisted of presenting the audio rendered from MIDI files to participants and then adding the vibrotactile component to it. The arrangement of tactile illusions was also evaluated alone. Results suggest that the arrangement of tactile illusions evokes more positive emotions than negative ones. This arrangement was also perceived as more agreeable and stimulating than the original audio. Although musical features such as rhythm, tempo, and melody were mostly recognized in the arrangement of tactile illusions, it provoked a different emotional response from that of the original audio. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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