Universidad Politécnica Metropolitana de Hidalgo

Incorporating Artificial Intelligence (AI) as a technological tool to strengthen training processes can potentially increase pedagogical quality and learning experiences; however, analyzing the acceptance of this technology within the complexity of university environments is necessary. This research aims to analyze a test’s design, validation, and reliability to assess the factors that guide the acceptance of AI in higher education. The study’s questionnaire design incorporated the interplay between the unified theory of adoption and use of technology (UTAUT2) and the complex thinking paradigm (CT) in a model. It was validated by applying the K coefficient to select the experts and the Simplified Digital Delphi method. Subsequently, a reliability analysis used a structural equation model. The results indicate that the questionnaire reliably evaluated students’ acceptance of artificial intelligence applications within the complexity of higher education. It demonstrated that the strategy to analyze the validation design of the instrument’s reliability could be replicated to systematically produce new questionnaires that measure the acceptance of emerging technologies. The study concludes that the questionnaire and the methodology can serve as a reference to measure the acceptance of technologies in universities.

Aims & Objectives: In low-income countries, the care of the Pediatric Oncology Patient in Critical Condition is faced with very limited resources that lead to unfavorable outcomes and high mortality.The PROACTIVE tool was designed to measure the capacity and quality of pediatric intensive care unit services. The aim is to evaluate the quality of intensive care services for pediatric cancer patients at the Maternal and Child Hospital ISSEMYM using the PROACTIVE tool. Methods: A qualitative investigation was designed, using a tool that allowed evaluating the quality of POPEC care through surveys of decision makers and operational personnel that include 8 domains: the national and local context of care, service capacity, availability of support services, the integration of multidisciplinary services, medications and equipment as well as overall treatment outcomes. The analysis was performed through the secure online survey software COMET Initiative Delphi Manager. Results: We observed that the scale indicated that in relation to the national and local context of care, as well as the availability of some services, a score close to 100% was obtained. While the domains related to the acute management of hospitalized patients and quality indicators were obtained with lower scores. Conclusions: The results of this study demonstrate that the tool used validates the areas to predict service needs, it was found that mostly the lack of an operational action plan, expert professionals and inputs are those that require interventions. Our results show a watershed for the implementation of valid Quality Indicators that can be applied by the entire multidisciplinary team involved. Keywords: PROACTIVE, quality of care, intensive therapy, pediatrics, domain

Reducing high concentrations of pollutants such as heavy metals, pesticides, drugs, and dyes from water is an emerging necessity. We evaluated the use of Luffa cylindrica (Lc) as a natural non-conventional adsorbent to remove azo dye mixture (ADM) from water. The capacity of Lc at three different doses (2.5, 5.0, and 10.0 g/L) was evaluated using three concentrations of azo dyes (0.125, 0.250, and 0.500 g/L). The removal percent (R%), maximum adsorption capacity (Qm), isotherm and kinetics adsorption models, and pH influence were evaluated, and Fourier-transform infrared spectroscopy and scanning electron microscopy were performed. The maximum R% was 70.8% for 10.0 g L−1 Lc and 0.125 g L−1 ADM. The Qm of Lc was 161.29 mg g−1. Adsorption by Lc obeys a Langmuir isotherm and occurs through the pseudo-second-order kinetic model. Statistical analysis showed that the adsorbent dose, the azo dye concentration, and contact time significantly influenced R% and the adsorption capacity. These findings indicate that Lc could be used as a natural non-conventional adsorbent to reduce ADM in water, and it has a potential application in the pretreatment of wastewaters.

The project aims to analyze whether the teacher's profile has any influence during the development of the tutorial action in the educational program of Information Technology Engineering of the Metropolitan Polytechnic University of Hidalgo (UPMH), which emerged in 2008 having as a framework for creation, the implementation of Polytechnic Universities to provide greater coverage to the need for higher education in the State of Hidalgo, offering innovative and high-quality educational programs that respond to the productive demands of today's society. Based on these guidelines, in the month of April 2010, the objective is to know the results of the Tutoring, in accordance with what is established in the institutional program of academic support for students, an evaluation of the program was carried out through the application of two surveys, in which students and tutors participated, obtaining indicators such as 100% of the registered enrollment had an assigned tutor, the students generally stated that they knew what it was and what the objective of tutoring was, however 60% in comments consider it irrelevant, due to the lack of planning and monitoring by the tutor teacher.

El diseño de controladores libres de modelo y robustos ha sido un problema de estudio durante varias décadas. Debido a su simplicidad y su estructura libre de cualquier información del modelo, el controlador proporcional-integral-derivativo (PID) es uno de los más utilizados en diversas aplicaciones. Adicionalmente, con el fin de diseñar controladores capaces de adaptarse a diferentes condiciones de operación como en las aeronaves o sistemas robóticos, en los últimos años ha tomado relevancia contar con controladores que tengan la capacidad de auto-sintonizar sus ganancias. Basado en la transformada wavalet, en este trabajo se propone un controlador proporcional multiresolución (PMR) auto-sintonizable, el cual descompone el error de seguimiento para obtener información a diferente escala y frecuencia que permita compensar diversas incertidumbres en el sistema. Adicionalmente, se utiliza una red neuronal wavelet (WaveNet) la cual se encarga aproximar la dinámica entrada y salida del sistema; mientras que su salida es un elemento para llevar a cabo la autosintonización. Para verificar el desempeño del controlador PMR se presentan los resultados de simulación numéricas para un helicóptero Quanser de 2 grados de libertad bajo diferentes condiciones de operación.

Se presenta el estudio comparativo entre dos medios de cultivo de la microalga Nannochloropsis oculata, con el objetivo de determinar cuál es la alternativa más viable para el mantenimiento de cepas y la generación de inóculos para volúmenes mayores de producción. Se encontró que el uso del medio Yashima, presenta mejores resultados en cuanto a la tasa de crecimiento en la fase exponencial, a la capacidad de carga y al máximo rendimiento, en comparación con el medio de cultivo Guillard F/2, lo que indica que, el uso de fertilizantes agrícolas puede ser una opción factible y económica para la generación de biomasa, misma que podría ser aprovechada, posteriormente, en la producción de bioenergéticos.

Some critical tasks require refined actions near the target, for instance, steering a car in a crowded parking lot or landing a rocket. These tasks are critical because failure to comply with the constraints near the target may lead to a fatal (unrecoverable) condition. Thus, a higher resolution action is required near the target to increase maneuvering precision. Moreover, completing the task becomes more challenging if the environment changes or is uncertain. Therefore, novel approaches have been proposed for these problems. In particular, reinforcement learning schemes such as Q-learning have been suggested to learn from scratch, subject to exploring action–state causal relationships aimed at action decisions that lead to an increase in the reward. Q-learning refines iterative action inputs by exploring state spaces that maximize the reward. However, reducing the (constant) resolution box needed for critical tasks increases the computational load, which may lead to the tantamount curse of the dimensionality problem. This paper proposes a variable box method to maintain a low number of boxes but reduce its resolution only near the target to increase action resolution as needed. The proposal is applied to a critical task such as landing a solid rocket, whose dynamics are highly nonlinear, underactuated, non-affine, and subject to environmental disturbances. Simulations show successful landing without leading to a curse of dimensionality, typical of the classical (constant box) Q-learning scheme.

With the help of platforms with haptic devices, rehabilitation areas for cerebrovascular accident patients can be attended with practices such as upper and lower extremity training. The application of training and/or rehabilitation protocols generates in disabled people the capacity for motor learning (movements executed quickly and accurately through practice). In this research article, we present the integration of a rehabilitation platform for upper limb, which is used by a pilot sample of users, who perform the evaluation of the user’s workload during human-robot interaction using the NASA-TLX protocol, which is based on the assessment of load and mental fatigue. To generate the rehabilitation tasks from trajectory planning in the workspace of the haptic device and guarantee position convergence, a wavenet control (Multiresolution PID control based on wavelet transform and second generation neural networks as identification scheme) was implemented. The proposed adaptive control is evaluated on a 6-degree-of-freedom haptic device with high technological performance (Cyberforce) designed to position an exoskeleton CyberGrasp with the human operator in the loop.